diff --git a/.gitattributes b/.gitattributes index bed8b916464ea70c2351a9e0d43a1e50920060c9..b1e6a48a85a952e22762e25a07574d4185856e69 100644 --- a/.gitattributes +++ b/.gitattributes @@ -828,3 +828,93 @@ data/ASCVD/CHD_1/train/pheno.feather filter=lfs diff=lfs merge=lfs -text data/ASCVD/Renal_Disease_2/train/metab.feather filter=lfs diff=lfs merge=lfs -text data/ASCVD/Renal_Disease_2/test/prote.feather filter=lfs diff=lfs merge=lfs -text data/ASCVD/Renal_Disease_2/test/metab.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Dementia_1/test/pheno.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/COPD_2/train/pheno.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Heart_Failure_1/train/prote.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Heart_Failure_1/train/metab.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Dementia_1/train/pheno.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Heart_Failure_1/test/prote.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Heart_Failure_1/test/metab.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Asthma_3/train/prote.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/COPD_2/test/pheno.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Renal_Disease_2/test/pheno.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Asthma_3/test/prote.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Asthma_3/test/metab.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Renal_Disease_2/train/pheno.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Breast_Cancer_1/train/prote.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Asthma_3/train/metab.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Breast_Cancer_1/train/metab.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Breast_Cancer_1/test/prote.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Breast_Cancer_1/test/metab.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Heart_Failure_1/test/pheno.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Asthma_3/train/pheno.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/PAD_1/train/prote.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/PAD_1/train/metab.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/PAD_1/test/prote.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/PAD_1/test/metab.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Heart_Failure_1/train/pheno.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Breast_Cancer_1/train/pheno.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/PAD_4/train/metab.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/PAD_4/train/prote.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Asthma_3/test/pheno.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/PAD_4/test/prote.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Breast_Cancer_1/test/pheno.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/PAD_4/test/metab.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Skin_Cancer_2/train/metab.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Skin_Cancer_2/train/prote.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Skin_Cancer_2/test/prote.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Skin_Cancer_2/test/metab.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Liver_Disease_2/train/prote.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/PAD_1/test/pheno.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/PAD_1/train/pheno.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/PAD_4/test/pheno.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Liver_Disease_2/test/metab.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Liver_Disease_2/train/metab.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Prostate_Cancer_4/train/metab.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Prostate_Cancer_4/train/prote.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/PAD_4/train/pheno.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Skin_Cancer_2/test/pheno.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Skin_Cancer_2/train/pheno.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Liver_Disease_2/test/prote.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Prostate_Cancer_4/test/prote.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Prostate_Cancer_4/test/metab.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Cataracts_5/train/prote.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Cataracts_5/train/metab.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Cataracts_5/test/prote.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Cataracts_5/test/metab.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Liver_Disease_2/test/pheno.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Breast_Cancer_2/train/prote.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Breast_Cancer_2/train/metab.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Prostate_Cancer_4/train/pheno.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Breast_Cancer_2/test/prote.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Prostate_Cancer_4/test/pheno.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Liver_Disease_2/train/pheno.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Cataracts_5/train/pheno.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Breast_Cancer_2/test/metab.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Breast_Cancer_4/train/prote.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Breast_Cancer_4/train/metab.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Breast_Cancer_4/test/prote.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Cataracts_5/test/pheno.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Breast_Cancer_4/test/metab.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/CHD_4/train/prote.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/CHD_4/train/metab.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Breast_Cancer_2/test/pheno.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/CHD_4/test/prote.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/CHD_4/test/metab.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/CHD_5/train/metab.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Breast_Cancer_2/train/pheno.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/CHD_5/train/prote.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Breast_Cancer_4/test/pheno.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/CHD_5/test/metab.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/CHD_5/test/prote.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Fractures_5/train/prote.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Fractures_5/train/metab.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Breast_Cancer_4/train/pheno.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/CHD_4/train/pheno.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/CHD_4/test/pheno.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Fractures_5/test/prote.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/Fractures_5/test/metab.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/PAD_3/train/prote.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/PAD_3/train/metab.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/CHD_5/train/pheno.feather filter=lfs diff=lfs merge=lfs -text +data/ASCVD/PAD_3/test/metab.feather filter=lfs diff=lfs merge=lfs -text diff --git a/data/ASCVD/Asthma_3/test/metab.feather b/data/ASCVD/Asthma_3/test/metab.feather new file mode 100644 index 0000000000000000000000000000000000000000..b1a587563e25b4ce9bd053aa6ceedd4732bd1f40 --- /dev/null +++ b/data/ASCVD/Asthma_3/test/metab.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f31d94789df65b20807f1e19c598520f0f02ce0c7daf9103b6b0ca22668c6004 +size 4269722 diff --git a/data/ASCVD/Asthma_3/test/metab_image.npy b/data/ASCVD/Asthma_3/test/metab_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..afbf4aaa4f0529a71e5e89c850afc908cd3f4345 --- /dev/null +++ b/data/ASCVD/Asthma_3/test/metab_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:336af0454652332cadcb54268a19670c7a8d98a7a94aa3903cbd8f3770079f73 +size 5571720 diff --git a/data/ASCVD/Asthma_3/test/pheno.feather b/data/ASCVD/Asthma_3/test/pheno.feather new file mode 100644 index 0000000000000000000000000000000000000000..fe44c076d79ea2b2237d580150bb9aa43950373c --- /dev/null +++ b/data/ASCVD/Asthma_3/test/pheno.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b4305e194dd2beafdf592430f48332968a8171e97310284f901cb274ba01d13f +size 596210 diff --git a/data/ASCVD/Asthma_3/test/prote.feather b/data/ASCVD/Asthma_3/test/prote.feather new file mode 100644 index 0000000000000000000000000000000000000000..3d4bdd82d5c5e2f5ec6a8e9e47989b487037f371 --- /dev/null +++ b/data/ASCVD/Asthma_3/test/prote.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:dd99372cedabc05c626612ddde3797dc608a2afcb12fe29ab82b5a699f85ca52 +size 94269434 diff --git a/data/ASCVD/Asthma_3/test/prote_image.npy b/data/ASCVD/Asthma_3/test/prote_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..1a741e8c47f1f8ac93a42dbc37714dbc3cd687a0 --- /dev/null +++ b/data/ASCVD/Asthma_3/test/prote_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d4c04ea47249d91ba172540d3bed76824cc6896f781bc46d44e9a488c4dd3e27 +size 99728328 diff --git a/data/ASCVD/Asthma_3/train/metab.feather b/data/ASCVD/Asthma_3/train/metab.feather new file mode 100644 index 0000000000000000000000000000000000000000..653c232c3805469e482fbbd71e77e3d033ee12ec --- /dev/null +++ b/data/ASCVD/Asthma_3/train/metab.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0b34464771fde71723b551889d8fffe8d063799c15aab5e15d03c3d4c76e65f2 +size 17728034 diff --git a/data/ASCVD/Asthma_3/train/metab_image.npy b/data/ASCVD/Asthma_3/train/metab_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..7ddc582b2d4da6093008400784c9c99502f6260c --- /dev/null +++ b/data/ASCVD/Asthma_3/train/metab_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e98f5ecce30ba16e50948a91b8b831f25b1e98aa46fced26fd1b0501c863dc24 +size 22055304 diff --git a/data/ASCVD/Asthma_3/train/pheno.feather b/data/ASCVD/Asthma_3/train/pheno.feather new file mode 100644 index 0000000000000000000000000000000000000000..a730084f0416bbc0c54e5197d132f053bb14091e --- /dev/null +++ b/data/ASCVD/Asthma_3/train/pheno.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c1445c544f4b5cf1bc9d587e5db47cfd79472faa66d7c996add2daaf00978eb2 +size 2336962 diff --git a/data/ASCVD/Asthma_3/train/prote.feather b/data/ASCVD/Asthma_3/train/prote.feather new file mode 100644 index 0000000000000000000000000000000000000000..11e287647a658d5c4aab7f4f11d615dce9b248df --- /dev/null +++ b/data/ASCVD/Asthma_3/train/prote.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a4cb658494fb3ee7f7fdc5f19db4bb623461148c787105e1985455ae3c1162ac +size 371286906 diff --git a/data/ASCVD/Asthma_3/train/prote_image.npy b/data/ASCVD/Asthma_3/train/prote_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..22b6af6491f9a26ff3942dde401c1a9f609d6dfd --- /dev/null +++ b/data/ASCVD/Asthma_3/train/prote_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7dc5a95abb853fefbfa942c8a2d3956065ad65d850618bb2e07fbb41169c9e1e +size 394774728 diff --git a/data/ASCVD/Breast_Cancer_1/test/metab.feather b/data/ASCVD/Breast_Cancer_1/test/metab.feather new file mode 100644 index 0000000000000000000000000000000000000000..463dd2bb12a7bc51d4b4af3658d15ba049e1b907 --- /dev/null +++ b/data/ASCVD/Breast_Cancer_1/test/metab.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:afc7601ed049bbf34d0c7e7a971444f0e7973da37520d65bc81b2e0479b3d79b +size 2448690 diff --git a/data/ASCVD/Breast_Cancer_1/test/metab_image.npy b/data/ASCVD/Breast_Cancer_1/test/metab_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..f2095d4bb045644254ba3b9065d196cbb6ca5c39 --- /dev/null +++ b/data/ASCVD/Breast_Cancer_1/test/metab_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9fb9364d4e73b54fbdd926ff1476280f933c49e90a2497aae2d29dc5822a1c10 +size 3020496 diff --git a/data/ASCVD/Breast_Cancer_1/test/pheno.feather b/data/ASCVD/Breast_Cancer_1/test/pheno.feather new file mode 100644 index 0000000000000000000000000000000000000000..21e6832822c3a30b68c3f11eddffea0155ea8090 --- /dev/null +++ b/data/ASCVD/Breast_Cancer_1/test/pheno.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2098c2501ef0edb9012707bd6bae4d56ef0977a95e11038b02a03fdcff5f7449 +size 335970 diff --git a/data/ASCVD/Breast_Cancer_1/test/prote.feather b/data/ASCVD/Breast_Cancer_1/test/prote.feather new file mode 100644 index 0000000000000000000000000000000000000000..a02f12eb1b9ef7740084a0c2392650464f4a6dbc --- /dev/null +++ b/data/ASCVD/Breast_Cancer_1/test/prote.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0c32d8bccba863888e428f41bec3a219b90057b1f6ac95d8493ed6cc27a180d9 +size 52058290 diff --git a/data/ASCVD/Breast_Cancer_1/test/prote_image.npy b/data/ASCVD/Breast_Cancer_1/test/prote_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..e10c00829f2e87ce6f01d6198fe9e09606193506 --- /dev/null +++ b/data/ASCVD/Breast_Cancer_1/test/prote_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:222c3892f1e1d05e00721ddc20dbc16dc7f5a553772ce3c13e66ae2dbc712986 +size 54062928 diff --git a/data/ASCVD/Breast_Cancer_1/train/metab.feather b/data/ASCVD/Breast_Cancer_1/train/metab.feather new file mode 100644 index 0000000000000000000000000000000000000000..1a6912804b5eaec44eb4072a703d89f37e32f026 --- /dev/null +++ b/data/ASCVD/Breast_Cancer_1/train/metab.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d11791d0d055868d9d6e9e2282294f72dadee924f844ea1c231eaeab0cfcb8b2 +size 9920746 diff --git a/data/ASCVD/Breast_Cancer_1/train/metab_image.npy b/data/ASCVD/Breast_Cancer_1/train/metab_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..87406ff70c5f029197f2ecb9ce43509faaf6516b --- /dev/null +++ b/data/ASCVD/Breast_Cancer_1/train/metab_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c70bf0c2f3ff6b3d35d064efbdcf12dc37641f2d354ef54133c693679a068431 +size 12265472 diff --git a/data/ASCVD/Breast_Cancer_1/train/pheno.feather b/data/ASCVD/Breast_Cancer_1/train/pheno.feather new file mode 100644 index 0000000000000000000000000000000000000000..96863bedce26dfab47aef07a9bed59a0b3293a73 --- /dev/null +++ b/data/ASCVD/Breast_Cancer_1/train/pheno.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c36ebd5f734b02255dd1466382487a921d56a9d0f373a60709cd456cabf8dd2e +size 1290226 diff --git a/data/ASCVD/Breast_Cancer_1/train/prote.feather b/data/ASCVD/Breast_Cancer_1/train/prote.feather new file mode 100644 index 0000000000000000000000000000000000000000..376be6db98c012e322198728392189f7dd8a0bd2 --- /dev/null +++ b/data/ASCVD/Breast_Cancer_1/train/prote.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c2179689b9cd9c43f88a9b5373552f4d4447ef01062e0c8c53c245d6e122b92b +size 207210738 diff --git a/data/ASCVD/Breast_Cancer_1/train/prote_image.npy b/data/ASCVD/Breast_Cancer_1/train/prote_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..94cc6ecb5d65ce7e0d505aafabf1a8636e6a5fb2 --- /dev/null +++ b/data/ASCVD/Breast_Cancer_1/train/prote_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5a3a3e36df45723c1d0163b29158c93774e4421c5d1198d0bcb391d06951df10 +size 219542528 diff --git a/data/ASCVD/Breast_Cancer_2/test/metab.feather b/data/ASCVD/Breast_Cancer_2/test/metab.feather new file mode 100644 index 0000000000000000000000000000000000000000..467884dd9ec92246c65f7c70384231c51c1bbe6a --- /dev/null +++ b/data/ASCVD/Breast_Cancer_2/test/metab.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ef98e29fa664efc52a82d1bc56868182add69764650cca9636744f4bf3f4e22d +size 2503738 diff --git a/data/ASCVD/Breast_Cancer_2/test/metab_image.npy b/data/ASCVD/Breast_Cancer_2/test/metab_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..5394a3b12e0b3b3472f3ddf1fb5b039b2da0f361 --- /dev/null +++ b/data/ASCVD/Breast_Cancer_2/test/metab_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f24d790a13962e5f0f371d737789f171d3c463acab99480e3fef51b2bb1823ac +size 3094856 diff --git a/data/ASCVD/Breast_Cancer_2/test/pheno.feather b/data/ASCVD/Breast_Cancer_2/test/pheno.feather new file mode 100644 index 0000000000000000000000000000000000000000..0d6c513c536de07740d0e4b7e5943ebef4b7387f --- /dev/null +++ b/data/ASCVD/Breast_Cancer_2/test/pheno.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:116f9c3c4987db19b2cc6f8a1c587480b7c7e51cdd87a8b6ed6bf184a636eb49 +size 342610 diff --git a/data/ASCVD/Breast_Cancer_2/test/prote.feather b/data/ASCVD/Breast_Cancer_2/test/prote.feather new file mode 100644 index 0000000000000000000000000000000000000000..2e48ea3d69b52e28efc4baff0daf26750d6846fc --- /dev/null +++ b/data/ASCVD/Breast_Cancer_2/test/prote.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c25fab70d1157499e8440b0280348f44072ffab58869040ea75648e1cbf7f449 +size 53226930 diff --git a/data/ASCVD/Breast_Cancer_2/test/prote_image.npy b/data/ASCVD/Breast_Cancer_2/test/prote_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..e1a982e1450af60194efab3c25a7d05b47cfbc29 --- /dev/null +++ b/data/ASCVD/Breast_Cancer_2/test/prote_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:473857e778ff4459783af3567bfc7ec703f51a6af14c875c16829cb610c0f6a2 +size 55393928 diff --git a/data/ASCVD/Breast_Cancer_2/train/metab.feather b/data/ASCVD/Breast_Cancer_2/train/metab.feather new file mode 100644 index 0000000000000000000000000000000000000000..b9a6dc11aa41dceb06eb3b03aa71b536eb205c52 --- /dev/null +++ b/data/ASCVD/Breast_Cancer_2/train/metab.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:90ead16f3d0295aaa7ebc3e26840ac46f4ebb9d7d0ca66e1df772c822ab5ed05 +size 9862666 diff --git a/data/ASCVD/Breast_Cancer_2/train/metab_image.npy b/data/ASCVD/Breast_Cancer_2/train/metab_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..90387d95f998b2652e170165836ce4207a438e08 --- /dev/null +++ b/data/ASCVD/Breast_Cancer_2/train/metab_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fcd242a647dec107b0b535ecfcfd160864327ebec27b7b145a85315c2e13344f +size 12191112 diff --git a/data/ASCVD/Breast_Cancer_2/train/pheno.feather b/data/ASCVD/Breast_Cancer_2/train/pheno.feather new file mode 100644 index 0000000000000000000000000000000000000000..dc7872ea0569439e845a4a6bb5162b965440bbdb --- /dev/null +++ b/data/ASCVD/Breast_Cancer_2/train/pheno.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c57ac1ab2bfa1119449931d46dbed2280558f178395673018a05f06c4d7e04a6 +size 1283554 diff --git a/data/ASCVD/Breast_Cancer_2/train/prote.feather b/data/ASCVD/Breast_Cancer_2/train/prote.feather new file mode 100644 index 0000000000000000000000000000000000000000..2d1fb6b8d0dd1266adfb27e4e1c7e2923154dfdc --- /dev/null +++ b/data/ASCVD/Breast_Cancer_2/train/prote.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a598960f8256e1a2190b9f18051f57f56c5ffaa46177e78dd4ad4ebe133f6978 +size 206042746 diff --git a/data/ASCVD/Breast_Cancer_2/train/prote_image.npy b/data/ASCVD/Breast_Cancer_2/train/prote_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..86e119ae8fe5bf3e68f601f701e9f42fa59dd0d9 --- /dev/null +++ b/data/ASCVD/Breast_Cancer_2/train/prote_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:349053359f0e4d546d193a57c4bc5a9f472dc3f4a139ae4d182e066409c03dfe +size 218211528 diff --git a/data/ASCVD/Breast_Cancer_4/test/metab.feather b/data/ASCVD/Breast_Cancer_4/test/metab.feather new file mode 100644 index 0000000000000000000000000000000000000000..b5479536462c324d5e04c5f157fc5ee87ba88597 --- /dev/null +++ b/data/ASCVD/Breast_Cancer_4/test/metab.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f3cfffc835743e56fe4e9e70ac2c02eecf0c919db82a704d652b7b67af64f635 +size 2529466 diff --git a/data/ASCVD/Breast_Cancer_4/test/metab_image.npy b/data/ASCVD/Breast_Cancer_4/test/metab_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..51bff4536641cc44272c22c024d56dcededecf00 --- /dev/null +++ b/data/ASCVD/Breast_Cancer_4/test/metab_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a65fc7af93d992cee62893be95e1a0c1e38c22cbae5e7c996db52350b19c260f +size 3131360 diff --git a/data/ASCVD/Breast_Cancer_4/test/pheno.feather b/data/ASCVD/Breast_Cancer_4/test/pheno.feather new file mode 100644 index 0000000000000000000000000000000000000000..b2f313c0a10eb57997bb9ed0668d46c9ef034027 --- /dev/null +++ b/data/ASCVD/Breast_Cancer_4/test/pheno.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:12bb0b68278d9365c5984b87779f2af20d6af7db6598a0c6ff1a9ef1f61275a4 +size 346842 diff --git a/data/ASCVD/Breast_Cancer_4/test/prote.feather b/data/ASCVD/Breast_Cancer_4/test/prote.feather new file mode 100644 index 0000000000000000000000000000000000000000..945ebc5cc0af2ee2f3f2fce3d98bb90644658c3c --- /dev/null +++ b/data/ASCVD/Breast_Cancer_4/test/prote.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d495da56e1c6c8771c0e86eb1e1217a1ac097e1509e4d755119cfd6b9e5589aa +size 53806346 diff --git a/data/ASCVD/Breast_Cancer_4/test/prote_image.npy b/data/ASCVD/Breast_Cancer_4/test/prote_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..1ad8dbd70beb40f431ecc0481a3f4043f3ec1ed1 --- /dev/null +++ b/data/ASCVD/Breast_Cancer_4/test/prote_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:76d37460fce1489cd3655ef93c3386e6329acd4a84b3b814f31985c0a4f6f33e +size 56047328 diff --git a/data/ASCVD/Breast_Cancer_4/train/metab.feather b/data/ASCVD/Breast_Cancer_4/train/metab.feather new file mode 100644 index 0000000000000000000000000000000000000000..de446b22cfdcd75c4e3572eda49955a88ae8080a --- /dev/null +++ b/data/ASCVD/Breast_Cancer_4/train/metab.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1dcf701282da7a660eacc8e885ddcf591b90c6bc1610acf3039a1b019bb3f7cc +size 9830058 diff --git a/data/ASCVD/Breast_Cancer_4/train/metab_image.npy b/data/ASCVD/Breast_Cancer_4/train/metab_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..ec9a92fcbda3c100d4dd94d7d59724e6a30378e8 --- /dev/null +++ b/data/ASCVD/Breast_Cancer_4/train/metab_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:15666c3a374737b34ccbea7e7703089cfae2cba35ce1cc5095b42c6bb14533af +size 12154608 diff --git a/data/ASCVD/Breast_Cancer_4/train/pheno.feather b/data/ASCVD/Breast_Cancer_4/train/pheno.feather new file mode 100644 index 0000000000000000000000000000000000000000..68c2201c1bc5a2d52e7f92d4fdfb40de40795d90 --- /dev/null +++ b/data/ASCVD/Breast_Cancer_4/train/pheno.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2476eb8aa4ecb3dbbb0754b82c9d56be05cd1cc183ba679507f59fe56d3ebf57 +size 1279146 diff --git a/data/ASCVD/Breast_Cancer_4/train/prote.feather b/data/ASCVD/Breast_Cancer_4/train/prote.feather new file mode 100644 index 0000000000000000000000000000000000000000..9e522ddaf4777e4790c56a8ff338550d576add4f --- /dev/null +++ b/data/ASCVD/Breast_Cancer_4/train/prote.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:000a73cbecd27d5e1263124559fcee4eee2d70cac84d2312a93e815abafd43a2 +size 205435442 diff --git a/data/ASCVD/Breast_Cancer_4/train/prote_image.npy b/data/ASCVD/Breast_Cancer_4/train/prote_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..398cb7605a4f029074608471a6e313b43cefa83f --- /dev/null +++ b/data/ASCVD/Breast_Cancer_4/train/prote_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2ff43c6d02bf1f31a1191b2254fe14381e90bc57c89378af60b9f504cfce9ba1 +size 217558128 diff --git a/data/ASCVD/CHD_4/test/metab.feather b/data/ASCVD/CHD_4/test/metab.feather new file mode 100644 index 0000000000000000000000000000000000000000..045ad0ff36c85984a792cb99d9f07008d0a2df5e --- /dev/null +++ b/data/ASCVD/CHD_4/test/metab.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:55108f3589b681cb77d4ab8b209e442f20648b59745004b50655581329c6ce77 +size 4163178 diff --git a/data/ASCVD/CHD_4/test/metab_image.npy b/data/ASCVD/CHD_4/test/metab_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..cb8bf732d608b4c19368fa135c4c3c5ab1080237 --- /dev/null +++ b/data/ASCVD/CHD_4/test/metab_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bbd709be873dec034a0cda000be8be81566287389d49f6e928dc0746d8c699a3 +size 5427056 diff --git a/data/ASCVD/CHD_4/test/pheno.feather b/data/ASCVD/CHD_4/test/pheno.feather new file mode 100644 index 0000000000000000000000000000000000000000..ea76fda281e15c04038ffa1d83d6675b387f19db --- /dev/null +++ b/data/ASCVD/CHD_4/test/pheno.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2328d8e4f844d51d69f69f5d5ade094cf24bc6c03992aa9789364d453b4a212b +size 581978 diff --git a/data/ASCVD/CHD_4/test/prote.feather b/data/ASCVD/CHD_4/test/prote.feather new file mode 100644 index 0000000000000000000000000000000000000000..dbd7862580bd334f23818a5d83206c802c18d065 --- /dev/null +++ b/data/ASCVD/CHD_4/test/prote.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:787eb97dca86e736e19d39eff8b792e00331e90235bc2d6262e87e7b85acb7e4 +size 91872738 diff --git a/data/ASCVD/CHD_4/test/prote_image.npy b/data/ASCVD/CHD_4/test/prote_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..67c47663f8d41388ff169a59652c8734922cc82a --- /dev/null +++ b/data/ASCVD/CHD_4/test/prote_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1d1c225bfb09d12531d25f7e5e928978f3fc7b1e7a7af9063b06f6bbe003c0e8 +size 97138928 diff --git a/data/ASCVD/CHD_4/train/metab.feather b/data/ASCVD/CHD_4/train/metab.feather new file mode 100644 index 0000000000000000000000000000000000000000..4497698db45003e9d4d7cfb27384f1b22794ba13 --- /dev/null +++ b/data/ASCVD/CHD_4/train/metab.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:11886e07e7476d892c30029233cacb1ec2798c06d3f8651561622cbca46c5653 +size 17644442 diff --git a/data/ASCVD/CHD_4/train/metab_image.npy b/data/ASCVD/CHD_4/train/metab_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..f7d7f83ec910ad7f8ec3f97a676f37347ecd9bcd --- /dev/null +++ b/data/ASCVD/CHD_4/train/metab_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:72e5ba11c7851ec0a50423d78acb5e7de73b2b05dcdd00aad551b613d3e4f413 +size 21967424 diff --git a/data/ASCVD/CHD_4/train/pheno.feather b/data/ASCVD/CHD_4/train/pheno.feather new file mode 100644 index 0000000000000000000000000000000000000000..633acb1adcd7c172355df3c7247d26c59efd82d1 --- /dev/null +++ b/data/ASCVD/CHD_4/train/pheno.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d40960695730a4b939114dc3adf44c2aa95b4369ef2077677d82cd4911964048 +size 2325394 diff --git a/data/ASCVD/CHD_4/train/prote.feather b/data/ASCVD/CHD_4/train/prote.feather new file mode 100644 index 0000000000000000000000000000000000000000..bd4a746ae338ae05bb1b84ccc3e108813d95c3e0 --- /dev/null +++ b/data/ASCVD/CHD_4/train/prote.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ad4b0f8ac44dd507ca9200250f34fe6d7d2a79eb6e534f2e0d525b007c7c5b3b +size 369757002 diff --git a/data/ASCVD/CHD_4/train/prote_image.npy b/data/ASCVD/CHD_4/train/prote_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..f52ff34bf1d51fddedc1be5e3bce37fa88623fc3 --- /dev/null +++ b/data/ASCVD/CHD_4/train/prote_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7aa89b961574be0a4d31a9ed02a8e1ce279ff5ae43ad6f68c2a12186eeb8f699 +size 393201728 diff --git a/data/ASCVD/CHD_5/test/metab.feather b/data/ASCVD/CHD_5/test/metab.feather new file mode 100644 index 0000000000000000000000000000000000000000..f94c8541d8069fa968fee418fcc84c715bda4b67 --- /dev/null +++ b/data/ASCVD/CHD_5/test/metab.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:562dccba4496e896e0fdcdcc59836b4cc835b9481ff5d2e92056b85427cfc734 +size 4182738 diff --git a/data/ASCVD/CHD_5/test/metab_image.npy b/data/ASCVD/CHD_5/test/metab_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..21fd1e8d4801592e7a51e57f7fd9d367359d082c --- /dev/null +++ b/data/ASCVD/CHD_5/test/metab_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:806cf9df0c133049793959cadc7af36a040952c7daf7bb8fc03975ff8035edeb +size 5452744 diff --git a/data/ASCVD/CHD_5/test/prote.feather b/data/ASCVD/CHD_5/test/prote.feather new file mode 100644 index 0000000000000000000000000000000000000000..bfe74ea237347aebeed57123795869a698da6a6e --- /dev/null +++ b/data/ASCVD/CHD_5/test/prote.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:184dcf2f60fd8521e7ca3e8a01c35438766a9efad6e07a908a180ca0677aef79 +size 92269954 diff --git a/data/ASCVD/CHD_5/test/prote_image.npy b/data/ASCVD/CHD_5/test/prote_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..89baf5d59b777279ed2b3ace04e9e0756a33c1de --- /dev/null +++ b/data/ASCVD/CHD_5/test/prote_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9e423f7e8cec36b873e9c872877d4fbc574f521210b31aa1785091301d125bab +size 97598728 diff --git a/data/ASCVD/CHD_5/train/metab.feather b/data/ASCVD/CHD_5/train/metab.feather new file mode 100644 index 0000000000000000000000000000000000000000..ae353951cdc6b260a6b6012491171e5540b9047d --- /dev/null +++ b/data/ASCVD/CHD_5/train/metab.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1f5bfbfbcfb85a3f254e46f4f419606a9d80761eaef6b4c697d60d278f0382ea +size 17619930 diff --git a/data/ASCVD/CHD_5/train/metab_image.npy b/data/ASCVD/CHD_5/train/metab_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..190ab976b9ffbb2f335770bdb7abf6c5b907dc95 --- /dev/null +++ b/data/ASCVD/CHD_5/train/metab_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a7c521ee4055841286aaac579d49f7139bfc3f4e131cb1ed8d37dbc82dce2233 +size 21941736 diff --git a/data/ASCVD/CHD_5/train/pheno.feather b/data/ASCVD/CHD_5/train/pheno.feather new file mode 100644 index 0000000000000000000000000000000000000000..1f5383af1e152d9874e99691aab21a208735fcd9 --- /dev/null +++ b/data/ASCVD/CHD_5/train/pheno.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5a5a8dd6d779425d97da640584d01fe5c6d961df549182098d7cce4462ccc94a +size 2322562 diff --git a/data/ASCVD/CHD_5/train/prote.feather b/data/ASCVD/CHD_5/train/prote.feather new file mode 100644 index 0000000000000000000000000000000000000000..c650f0d2b4c815824b3d93ab550712151c9c72a7 --- /dev/null +++ b/data/ASCVD/CHD_5/train/prote.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:386945a22f8ed1b125baf7f1b3a2d84b0b8e221767921e5b18882b2bd1510d05 +size 369354626 diff --git a/data/ASCVD/CHD_5/train/prote_image.npy b/data/ASCVD/CHD_5/train/prote_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..56055c713d36fbb15faa38e3226970a196643e1c --- /dev/null +++ b/data/ASCVD/CHD_5/train/prote_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8cd64aa8a4dcad6da00e7b95df5f5e754c1ff271474160959e5c06dc519c9eb3 +size 392741928 diff --git a/data/ASCVD/COPD_2/test/pheno.feather b/data/ASCVD/COPD_2/test/pheno.feather new file mode 100644 index 0000000000000000000000000000000000000000..851556b28b73fb8c20df127256f4d0b71c71e474 --- /dev/null +++ b/data/ASCVD/COPD_2/test/pheno.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bdf0b3e36eb46d9131052855155969e05988022c07ecf597a0a0a6bccac95ecc +size 607794 diff --git a/data/ASCVD/COPD_2/train/pheno.feather b/data/ASCVD/COPD_2/train/pheno.feather new file mode 100644 index 0000000000000000000000000000000000000000..355fa85c28c529e986c69e89f5d392f8d5a19f5c --- /dev/null +++ b/data/ASCVD/COPD_2/train/pheno.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:651c0d19ac378e568507a30a72ebc28116879b8d5ddc4f58e4c73d9c18ea77ea +size 2401610 diff --git a/data/ASCVD/Cataracts_5/test/metab.feather b/data/ASCVD/Cataracts_5/test/metab.feather new file mode 100644 index 0000000000000000000000000000000000000000..8b87b1cfdef9688d7d52b7e1187b85cf809866a1 --- /dev/null +++ b/data/ASCVD/Cataracts_5/test/metab.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:eac2e49b58acc91a2eb7f489c99c9a798dcba58bbd3dde5ef1e058a4443a9cc1 +size 4277034 diff --git a/data/ASCVD/Cataracts_5/test/metab_image.npy b/data/ASCVD/Cataracts_5/test/metab_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..43b37147d2dcc14fc7dc950e2189698f17ae3946 --- /dev/null +++ b/data/ASCVD/Cataracts_5/test/metab_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b6fd84d597fd9ef18b084da40800b93b86769e2ecfb9fe905ecd7422139e2902 +size 5585240 diff --git a/data/ASCVD/Cataracts_5/test/pheno.feather b/data/ASCVD/Cataracts_5/test/pheno.feather new file mode 100644 index 0000000000000000000000000000000000000000..daed887378043f733acb48eca5c018df14aa0879 --- /dev/null +++ b/data/ASCVD/Cataracts_5/test/pheno.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ab3cb2000d1cd4b1e34a97f5e7f21d0d1e3201cc344d36e19daf77c0591c0d8c +size 597026 diff --git a/data/ASCVD/Cataracts_5/test/prote.feather b/data/ASCVD/Cataracts_5/test/prote.feather new file mode 100644 index 0000000000000000000000000000000000000000..25f8812e59604ede3c8c1300c8383800e49ffd1a --- /dev/null +++ b/data/ASCVD/Cataracts_5/test/prote.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4740ebd923447eefee7e614567a6d5edda43d6fa820199a4504a827e2942bb43 +size 94478906 diff --git a/data/ASCVD/Cataracts_5/test/prote_image.npy b/data/ASCVD/Cataracts_5/test/prote_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..2ad0ebf1efe1e8e350ebe71080c6698b4aab5e06 --- /dev/null +++ b/data/ASCVD/Cataracts_5/test/prote_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:46d1b3d451160ad3fa6ea580c2e283eb428c63ea90c3fc2b0c52b711ab833718 +size 99970328 diff --git a/data/ASCVD/Cataracts_5/train/metab.feather b/data/ASCVD/Cataracts_5/train/metab.feather new file mode 100644 index 0000000000000000000000000000000000000000..b691f5738dd7e7efbae0a24a5d0e052211d64878 --- /dev/null +++ b/data/ASCVD/Cataracts_5/train/metab.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6f23cb826ac4a48435ef8277256134fbd2cda3faa240bf664831708a3fdb8b55 +size 18100474 diff --git a/data/ASCVD/Cataracts_5/train/metab_image.npy b/data/ASCVD/Cataracts_5/train/metab_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..d1ad9e90354d301bfb2bed770fc3ce7420b1b7f8 --- /dev/null +++ b/data/ASCVD/Cataracts_5/train/metab_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f69aa69f8f702297417ef336cba1335bc42015b3942b030ac281a913bb76d857 +size 22525800 diff --git a/data/ASCVD/Cataracts_5/train/pheno.feather b/data/ASCVD/Cataracts_5/train/pheno.feather new file mode 100644 index 0000000000000000000000000000000000000000..6fb6e097d679f5e75b85015b0fe6cebac0790b48 --- /dev/null +++ b/data/ASCVD/Cataracts_5/train/pheno.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d502199fdbbf4e199b6a6bd2202ea8c57c6c8dc5c6c774567f23bd0742b0ee33 +size 2386882 diff --git a/data/ASCVD/Cataracts_5/train/prote.feather b/data/ASCVD/Cataracts_5/train/prote.feather new file mode 100644 index 0000000000000000000000000000000000000000..9f73dd66391d4d4817ba34e459f820f16e1374d6 --- /dev/null +++ b/data/ASCVD/Cataracts_5/train/prote.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:16fbd702c46d45a4bd99cd23185133113c826302e818c27045cf946b9acdb889 +size 379160370 diff --git a/data/ASCVD/Cataracts_5/train/prote_image.npy b/data/ASCVD/Cataracts_5/train/prote_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..1d0eb2bf01b4424a977b1b4bc14a35afda970a59 --- /dev/null +++ b/data/ASCVD/Cataracts_5/train/prote_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:684c70f02dd4cd395ec2426e3fd985793501733b0d9c933a141681027aaba04b +size 403196328 diff --git a/data/ASCVD/Dementia_1/test/pheno.feather b/data/ASCVD/Dementia_1/test/pheno.feather new file mode 100644 index 0000000000000000000000000000000000000000..e3028e46ef4dbdfb22bf0e429662bf9d7751f58a --- /dev/null +++ b/data/ASCVD/Dementia_1/test/pheno.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1aa19cb90e8b0963ef3df54223b9aca70e149515559d6b7e097ad69f438329ba +size 614658 diff --git a/data/ASCVD/Dementia_1/train/pheno.feather b/data/ASCVD/Dementia_1/train/pheno.feather new file mode 100644 index 0000000000000000000000000000000000000000..67be5b9dbbc0ad3fc73c246003dd5cec8435210e --- /dev/null +++ b/data/ASCVD/Dementia_1/train/pheno.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d55bb78c4eaab8667e4ec370cb2a952c5bb63cbe73ca0dd4b8834c0e120e25ef +size 2428554 diff --git a/data/ASCVD/Fractures_5/test/metab.feather b/data/ASCVD/Fractures_5/test/metab.feather new file mode 100644 index 0000000000000000000000000000000000000000..e762f99b2e68b2ef40460eefaf7e49b4f37c17d0 --- /dev/null +++ b/data/ASCVD/Fractures_5/test/metab.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2eb9c079c1c7ed86a9fbe5a7d7df76b3e4c04cf5f67d44051e051d23ea05389f +size 4277626 diff --git a/data/ASCVD/Fractures_5/test/metab_image.npy b/data/ASCVD/Fractures_5/test/metab_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..0964a331189b7fcfead818352df36b2dc0d35dfe --- /dev/null +++ b/data/ASCVD/Fractures_5/test/metab_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4ba919423a26639416ca3fdf4add37344856e902f10e5f05532ab3beabf82ed3 +size 5581184 diff --git a/data/ASCVD/Fractures_5/test/prote.feather b/data/ASCVD/Fractures_5/test/prote.feather new file mode 100644 index 0000000000000000000000000000000000000000..702908bffa4439173022f9eea4c11b9070d5ddee --- /dev/null +++ b/data/ASCVD/Fractures_5/test/prote.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:76ff5cf6ce6e610ff6e8c0bb7967f34f8e54251a92205a18749fb7282fc84a01 +size 94404610 diff --git a/data/ASCVD/Fractures_5/test/prote_image.npy b/data/ASCVD/Fractures_5/test/prote_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..402ca6ca7ac20cc5c1fd422cfeff658be916b9e5 --- /dev/null +++ b/data/ASCVD/Fractures_5/test/prote_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c86ac68e6d4fe5acc4d1f0bc7068a05891304f19a254f0d2bfc16c5f146941d1 +size 99897728 diff --git a/data/ASCVD/Fractures_5/train/metab.feather b/data/ASCVD/Fractures_5/train/metab.feather new file mode 100644 index 0000000000000000000000000000000000000000..1b055fc5ac29511d4689cef7d3ca16022c7276b1 --- /dev/null +++ b/data/ASCVD/Fractures_5/train/metab.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:62d48c80a67b0ac78d291dd6753f603169ef38801376823b4142a75cacc77abc +size 17856154 diff --git a/data/ASCVD/Fractures_5/train/metab_image.npy b/data/ASCVD/Fractures_5/train/metab_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..a38d8ff7aeb7a80596c6965023e533523b4aa44a --- /dev/null +++ b/data/ASCVD/Fractures_5/train/metab_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:39248e71f1ff48b11c044d106dac6e9e60997e9af1f99419ac4ce35be1ff74ed +size 22218896 diff --git a/data/ASCVD/Fractures_5/train/prote.feather b/data/ASCVD/Fractures_5/train/prote.feather new file mode 100644 index 0000000000000000000000000000000000000000..77530fb305ac30bf7e2be3cbd47eb18f0788700e --- /dev/null +++ b/data/ASCVD/Fractures_5/train/prote.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2be4fabde0cb3fee05c2e073333c7e79a9766cb860d267be08dc9a984568a929 +size 373990202 diff --git a/data/ASCVD/Fractures_5/train/prote_image.npy b/data/ASCVD/Fractures_5/train/prote_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..4781b49a7a90ab0c42a6d2717e40d5bbedb3b286 --- /dev/null +++ b/data/ASCVD/Fractures_5/train/prote_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5f66af1216c7deadbcb86261e6e5066b542e9ec72107800360aa13ed9f03ef3a +size 397702928 diff --git a/data/ASCVD/Heart_Failure_1/test/metab.feather b/data/ASCVD/Heart_Failure_1/test/metab.feather new file mode 100644 index 0000000000000000000000000000000000000000..b545e08bcd170c7b81fcafadd7100dbaf2f0cbb2 --- /dev/null +++ b/data/ASCVD/Heart_Failure_1/test/metab.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:aea78dad945740545fff20346a8b7e6f37ebf3078ef1f6194d887c7184ef9fc0 +size 4296098 diff --git a/data/ASCVD/Heart_Failure_1/test/metab_image.npy b/data/ASCVD/Heart_Failure_1/test/metab_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..585cdcbd76996f1389810015dc005ed2e494145b --- /dev/null +++ b/data/ASCVD/Heart_Failure_1/test/metab_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cc438efb8f12e323d83090c1e7550855f74a7f943b3b7596f5da9b1ebe293df7 +size 5608224 diff --git a/data/ASCVD/Heart_Failure_1/test/pheno.feather b/data/ASCVD/Heart_Failure_1/test/pheno.feather new file mode 100644 index 0000000000000000000000000000000000000000..d0998edfb01ab3563287a2eaf8a7636583558344 --- /dev/null +++ b/data/ASCVD/Heart_Failure_1/test/pheno.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a65aedb1cbbdd61de771052c1e2c9e2d5598100c9d6a5b5dc223fdb5cb657c01 +size 599114 diff --git a/data/ASCVD/Heart_Failure_1/test/prote.feather b/data/ASCVD/Heart_Failure_1/test/prote.feather new file mode 100644 index 0000000000000000000000000000000000000000..18a88d0706ed3eac90630dc9a246367f19029627 --- /dev/null +++ b/data/ASCVD/Heart_Failure_1/test/prote.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:91a59c204478be96a0a4b51545940f72b3455fdc59b06d95eb90f33ee8834546 +size 94792514 diff --git a/data/ASCVD/Heart_Failure_1/test/prote_image.npy b/data/ASCVD/Heart_Failure_1/test/prote_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..a525d038b1dc8fb40f5ce7f56c95077a2a785c05 --- /dev/null +++ b/data/ASCVD/Heart_Failure_1/test/prote_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cfe13e790db4ac76f3c4329b1dd395ec5c293bf6dc2f71e8b16196f059333dc2 +size 100381728 diff --git a/data/ASCVD/Heart_Failure_1/train/metab.feather b/data/ASCVD/Heart_Failure_1/train/metab.feather new file mode 100644 index 0000000000000000000000000000000000000000..5e04a5b35d5a4671f976b28bf0ff274c54f3c046 --- /dev/null +++ b/data/ASCVD/Heart_Failure_1/train/metab.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cd85e1652f7edcb7389952bb1ccb9d6f164be79a01e41c3cf9de8912ca561551 +size 18375298 diff --git a/data/ASCVD/Heart_Failure_1/train/metab_image.npy b/data/ASCVD/Heart_Failure_1/train/metab_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..5bf0f8877e10462668005360b52e77b3e9081b7b --- /dev/null +++ b/data/ASCVD/Heart_Failure_1/train/metab_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:99abed2e78a38cc780bb7581504faf3e76a9cb1f1eba70dd0a8d6923c7641c9f +size 22869208 diff --git a/data/ASCVD/Heart_Failure_1/train/pheno.feather b/data/ASCVD/Heart_Failure_1/train/pheno.feather new file mode 100644 index 0000000000000000000000000000000000000000..d3c9543091e71ce4536f31191299037096c91574 --- /dev/null +++ b/data/ASCVD/Heart_Failure_1/train/pheno.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c7a6e9b673a371608bd35c11954da99537bad28f9b527156db163948ce06b635 +size 2423258 diff --git a/data/ASCVD/Heart_Failure_1/train/prote.feather b/data/ASCVD/Heart_Failure_1/train/prote.feather new file mode 100644 index 0000000000000000000000000000000000000000..e508d2af10771f695af5e5cd1c98346a4125e415 --- /dev/null +++ b/data/ASCVD/Heart_Failure_1/train/prote.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:21888b06989b0af2d4b2faa4038cca5b0fb3bece6b6143ddd37f3c362b69b303 +size 384946626 diff --git a/data/ASCVD/Heart_Failure_1/train/prote_image.npy b/data/ASCVD/Heart_Failure_1/train/prote_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..e0c0a9a0674d9a7cc274ff962cb67b02aa765693 --- /dev/null +++ b/data/ASCVD/Heart_Failure_1/train/prote_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c1b782ac7e6278d3e3daad778dbb6bd337d82efea72e9e99c4d66a1363360b8f +size 409343128 diff --git a/data/ASCVD/Liver_Disease_2/test/metab.feather b/data/ASCVD/Liver_Disease_2/test/metab.feather new file mode 100644 index 0000000000000000000000000000000000000000..755d9225f4d62d9c70efc01d4e80a06538292d1c --- /dev/null +++ b/data/ASCVD/Liver_Disease_2/test/metab.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:58417503138fd4ab8e7f9704d2307f1a0060ac2371bb73389378eb09d6f56bb4 +size 4349274 diff --git a/data/ASCVD/Liver_Disease_2/test/metab_image.npy b/data/ASCVD/Liver_Disease_2/test/metab_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..0814a1a0583a2b94ba7c94499f3f5b0d7a62ad09 --- /dev/null +++ b/data/ASCVD/Liver_Disease_2/test/metab_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1eab30128fe8dc116de75af35cd593d7bacc9ef34323cb46c50b31421f823b5b +size 5685288 diff --git a/data/ASCVD/Liver_Disease_2/test/pheno.feather b/data/ASCVD/Liver_Disease_2/test/pheno.feather new file mode 100644 index 0000000000000000000000000000000000000000..d7532c9493938d57e209e30841f2dd94b76c56fd --- /dev/null +++ b/data/ASCVD/Liver_Disease_2/test/pheno.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d144617d9d2229f0953a0384d58b9b93dfeefbb20e90fa3c76be29892313e4b1 +size 608522 diff --git a/data/ASCVD/Liver_Disease_2/test/prote.feather b/data/ASCVD/Liver_Disease_2/test/prote.feather new file mode 100644 index 0000000000000000000000000000000000000000..3872ac98b763405287b6f4f2a1d9a78f86ae258e --- /dev/null +++ b/data/ASCVD/Liver_Disease_2/test/prote.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0d53c618ae6ef1b23ebe27ab4f69001000ea9bbb46d05979553b15b13d6f2ef8 +size 96050690 diff --git a/data/ASCVD/Liver_Disease_2/test/prote_image.npy b/data/ASCVD/Liver_Disease_2/test/prote_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..a9eb65c81df34fc564e4db28a451e096c94cf14a --- /dev/null +++ b/data/ASCVD/Liver_Disease_2/test/prote_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:099d9e4021f7921d6ec0f6611a474750b46aa53dc003b7ee2959884b6885c7ac +size 101761128 diff --git a/data/ASCVD/Liver_Disease_2/train/metab.feather b/data/ASCVD/Liver_Disease_2/train/metab.feather new file mode 100644 index 0000000000000000000000000000000000000000..a746743de11904ecc0240e38417c2ff2430ab686 --- /dev/null +++ b/data/ASCVD/Liver_Disease_2/train/metab.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d7c53a0b85862e7c562cf535b63ca6989cd286d70f9f5e60da70e1805f14b6b2 +size 18293490 diff --git a/data/ASCVD/Liver_Disease_2/train/metab_image.npy b/data/ASCVD/Liver_Disease_2/train/metab_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..387a4112ee2cc9f3919f0b9a17c7188443715fd5 --- /dev/null +++ b/data/ASCVD/Liver_Disease_2/train/metab_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:62f261880b696c4e37428c1b18db351c4ef7ae5c2e97155c47580bbee37925da +size 22759696 diff --git a/data/ASCVD/Liver_Disease_2/train/pheno.feather b/data/ASCVD/Liver_Disease_2/train/pheno.feather new file mode 100644 index 0000000000000000000000000000000000000000..797d3e4e6439bb970055d12416343409fb63f78f --- /dev/null +++ b/data/ASCVD/Liver_Disease_2/train/pheno.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c7506e06e110fcb379cf457f402c180c673fa1448b787c5bb2184331283f0e50 +size 2411498 diff --git a/data/ASCVD/Liver_Disease_2/train/prote.feather b/data/ASCVD/Liver_Disease_2/train/prote.feather new file mode 100644 index 0000000000000000000000000000000000000000..0768e16ae65bdfda1ffa1b3d91b39648ca837e29 --- /dev/null +++ b/data/ASCVD/Liver_Disease_2/train/prote.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e8614a4ae73af44b98ca037c5c0c4b2c158b38beca01748c1890c2653561fc75 +size 383124562 diff --git a/data/ASCVD/Liver_Disease_2/train/prote_image.npy b/data/ASCVD/Liver_Disease_2/train/prote_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..44563b43162eda1723151fc60a379b6afde7575d --- /dev/null +++ b/data/ASCVD/Liver_Disease_2/train/prote_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:24b2662de9ba1dc854b67cc8a227720c9530edbb2e143a13289f61708a6fb732 +size 407382928 diff --git a/data/ASCVD/PAD_1/test/metab.feather b/data/ASCVD/PAD_1/test/metab.feather new file mode 100644 index 0000000000000000000000000000000000000000..08267044b8317d2676b5adf539b430580ce32539 --- /dev/null +++ b/data/ASCVD/PAD_1/test/metab.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5ca7f1c08d955e395bbbca4f6b981fc997cbf7c6d2f6c85068487b4f7225fa40 +size 4341594 diff --git a/data/ASCVD/PAD_1/test/metab_image.npy b/data/ASCVD/PAD_1/test/metab_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..03d53a0c984b7cfa97f09a0814a9bc328251744e --- /dev/null +++ b/data/ASCVD/PAD_1/test/metab_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:83794fc9f77855a0c041f5ccb6310c6491c192ed2a4b456646c8aa7c24b33792 +size 5682584 diff --git a/data/ASCVD/PAD_1/test/pheno.feather b/data/ASCVD/PAD_1/test/pheno.feather new file mode 100644 index 0000000000000000000000000000000000000000..af78c18302746213af24d5c3bbd5beacc8914ba3 --- /dev/null +++ b/data/ASCVD/PAD_1/test/pheno.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b2e9fadeaf1b74bd2bb798fa38a2b045193eb25f85078e4ad8ce04c6f1238b05 +size 608106 diff --git a/data/ASCVD/PAD_1/test/prote.feather b/data/ASCVD/PAD_1/test/prote.feather new file mode 100644 index 0000000000000000000000000000000000000000..f3b0ac7ac55c1157e8be9583fd5846d51bf7d32a --- /dev/null +++ b/data/ASCVD/PAD_1/test/prote.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a1d7139d005f885c0ead4935f01a83b3d4441b9652ef2cafbe34313c1111413b +size 95940442 diff --git a/data/ASCVD/PAD_1/test/prote_image.npy b/data/ASCVD/PAD_1/test/prote_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..a43e1f18821e924cd772f9579368b080decd391e --- /dev/null +++ b/data/ASCVD/PAD_1/test/prote_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:824a29511e5ec29ea337446d330607800846caff21bd1c9f05f08dba1f5ff7d5 +size 101712728 diff --git a/data/ASCVD/PAD_1/train/metab.feather b/data/ASCVD/PAD_1/train/metab.feather new file mode 100644 index 0000000000000000000000000000000000000000..4e5910d9f3070a28bf598ba843a40ac02ec2bbd3 --- /dev/null +++ b/data/ASCVD/PAD_1/train/metab.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7d533074de2e8472a954666b7edf45937ffc00654e07ef1e1b04e72335eb8331 +size 18240282 diff --git a/data/ASCVD/PAD_1/train/metab_image.npy b/data/ASCVD/PAD_1/train/metab_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..067a0964abf87f53e05a6868ee62961b3312fb47 --- /dev/null +++ b/data/ASCVD/PAD_1/train/metab_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f5729de8d043801f84b94e2221e3e03c4001d37cb937f233e46a5fde5dcfc905 +size 22697504 diff --git a/data/ASCVD/PAD_1/train/pheno.feather b/data/ASCVD/PAD_1/train/pheno.feather new file mode 100644 index 0000000000000000000000000000000000000000..a373d678e66f51b696ca393d3372f5662c7c1964 --- /dev/null +++ b/data/ASCVD/PAD_1/train/pheno.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:76760840e6e96975583492c482675e62bbea696a71531d10a7863abd918f0aa3 +size 2403306 diff --git a/data/ASCVD/PAD_1/train/prote.feather b/data/ASCVD/PAD_1/train/prote.feather new file mode 100644 index 0000000000000000000000000000000000000000..e5d42ee7eccbca1ba2c48019bf82921fa8912cd2 --- /dev/null +++ b/data/ASCVD/PAD_1/train/prote.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:45f76a2032800c72d3f82e6044a7e4bca13475a686586839f04a4f2d258abe34 +size 382120818 diff --git a/data/ASCVD/PAD_1/train/prote_image.npy b/data/ASCVD/PAD_1/train/prote_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..8fee16b0c9db06986bcc7bb2554de01249cac9b5 --- /dev/null +++ b/data/ASCVD/PAD_1/train/prote_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8feaf5dfa57d8b2d7bc382ddb8726980e98e3b4ea7a5d3a574e2ae38d2537d57 +size 406269728 diff --git a/data/ASCVD/PAD_3/test/metab.feather b/data/ASCVD/PAD_3/test/metab.feather new file mode 100644 index 0000000000000000000000000000000000000000..560ee0fe07cdb0ca5f1cd8364d8b5e39c5ffc0c4 --- /dev/null +++ b/data/ASCVD/PAD_3/test/metab.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:989a94d0b988fbc438828086d8b9c2a4c6f7f8cf4f849465899a8649d44d1784 +size 4366370 diff --git a/data/ASCVD/PAD_3/train/metab.feather b/data/ASCVD/PAD_3/train/metab.feather new file mode 100644 index 0000000000000000000000000000000000000000..0d7551dfd2ec0991d1887579fae0b8d26748827a --- /dev/null +++ b/data/ASCVD/PAD_3/train/metab.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:518c21343d81222b84fc9f8d2dca37d40a9d9c23fa880ec00f8ba2d7e02e6d14 +size 18211770 diff --git a/data/ASCVD/PAD_3/train/metab_image.npy b/data/ASCVD/PAD_3/train/metab_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..cdc6f94f5ff1e08acf12012f042002c03451fa08 --- /dev/null +++ b/data/ASCVD/PAD_3/train/metab_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:175c490927f8a380d8c8bfd4f6090e1863684a70be760e3ef5d5bdcff30c9a1e +size 22665056 diff --git a/data/ASCVD/PAD_3/train/prote.feather b/data/ASCVD/PAD_3/train/prote.feather new file mode 100644 index 0000000000000000000000000000000000000000..96f6d79a2b3a9df8297720c9b142e37e3d19d7c8 --- /dev/null +++ b/data/ASCVD/PAD_3/train/prote.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a8bf5904dc3cc91f8a587c4cf1dc7c77aba187dbe0e16772766dce9acf67ea77 +size 381544506 diff --git a/data/ASCVD/PAD_3/train/prote_image.npy b/data/ASCVD/PAD_3/train/prote_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..e3cf4998ca5cdf6c01d02e7f278495a981312609 --- /dev/null +++ b/data/ASCVD/PAD_3/train/prote_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a00b4b11036e57b3ae043c2ad6f1f0d16e77d3056caca73c97cc23b9071d2047 +size 405688928 diff --git a/data/ASCVD/PAD_4/test/metab.feather b/data/ASCVD/PAD_4/test/metab.feather new file mode 100644 index 0000000000000000000000000000000000000000..0005ffc8cd31296fa463f4dd7eb8f6ac32e62c4b --- /dev/null +++ b/data/ASCVD/PAD_4/test/metab.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2e501be4bd2bef9c546f7434507959b73cf252509a7c03d61de6ecbf4bb8262a +size 4304162 diff --git a/data/ASCVD/PAD_4/test/metab_image.npy b/data/ASCVD/PAD_4/test/metab_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..e3b8e9b46e27f990e9dad878fb242aa647491080 --- /dev/null +++ b/data/ASCVD/PAD_4/test/metab_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:488f69d9c5a188dbd9e394ed7e573250ad61e60e69627d5cc194701f5502cec8 +size 5621744 diff --git a/data/ASCVD/PAD_4/test/pheno.feather b/data/ASCVD/PAD_4/test/pheno.feather new file mode 100644 index 0000000000000000000000000000000000000000..51d762cb13bfee69a68892d24e511168873025a1 --- /dev/null +++ b/data/ASCVD/PAD_4/test/pheno.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2d81c55fad093db851c55b38441e9dc9cbb33b9759b891e0c4c77d77a326d6db +size 601466 diff --git a/data/ASCVD/PAD_4/test/prote.feather b/data/ASCVD/PAD_4/test/prote.feather new file mode 100644 index 0000000000000000000000000000000000000000..60093d28c4bab646232d34bc8754739bc540030c --- /dev/null +++ b/data/ASCVD/PAD_4/test/prote.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:16d7fdecf18cb421b2fac202bb5e4321213072e7f4e8ffdb305f5ea73c4a8169 +size 95042042 diff --git a/data/ASCVD/PAD_4/test/prote_image.npy b/data/ASCVD/PAD_4/test/prote_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..1e4c19d583824cc63a86c0fc088d8be295043491 --- /dev/null +++ b/data/ASCVD/PAD_4/test/prote_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1ddee0bffb383e25dfbbc7cb27b74a986aff2561001ed7e52c8e675825cbaea5 +size 100623728 diff --git a/data/ASCVD/PAD_4/train/metab.feather b/data/ASCVD/PAD_4/train/metab.feather new file mode 100644 index 0000000000000000000000000000000000000000..91a4cf09c3e41f73bee2c96e4cf56472917184a9 --- /dev/null +++ b/data/ASCVD/PAD_4/train/metab.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:85084d98bfa88908a46cff0327c7bbe1998aa70e70a50e44db647d8d195a2053 +size 18284418 diff --git a/data/ASCVD/PAD_4/train/metab_image.npy b/data/ASCVD/PAD_4/train/metab_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..09a88b2a786aad162f0476f9ba0d29f05f7544d1 --- /dev/null +++ b/data/ASCVD/PAD_4/train/metab_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ff94413f39e9b0714d710b281fa50e4312dbd1630d3af10a65ad499a96c68622 +size 22758344 diff --git a/data/ASCVD/PAD_4/train/pheno.feather b/data/ASCVD/PAD_4/train/pheno.feather new file mode 100644 index 0000000000000000000000000000000000000000..d6c7df029fdee35f679913432a6abaf8154a6c1b --- /dev/null +++ b/data/ASCVD/PAD_4/train/pheno.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8db3be57121b4e30e7bd9f39fc0d82c7fd35dfc5eb99999de434bffe8d1dffe7 +size 2410778 diff --git a/data/ASCVD/PAD_4/train/prote.feather b/data/ASCVD/PAD_4/train/prote.feather new file mode 100644 index 0000000000000000000000000000000000000000..e34473bd4832ae3675a7e2343053ce5f960fe074 --- /dev/null +++ b/data/ASCVD/PAD_4/train/prote.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e18865d7c92af75833b06aeacd692da577b78eb4a98f3bec51476879d825ca46 +size 383091602 diff --git a/data/ASCVD/PAD_4/train/prote_image.npy b/data/ASCVD/PAD_4/train/prote_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..7d71e08700037831d4b5b82910287ccb5ea99c9a --- /dev/null +++ b/data/ASCVD/PAD_4/train/prote_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8c8e75733f16c9b5d21296932d9484f4cfc574adabca80de454ce1ef509a518f +size 407358728 diff --git a/data/ASCVD/Prostate_Cancer_4/test/metab.feather b/data/ASCVD/Prostate_Cancer_4/test/metab.feather new file mode 100644 index 0000000000000000000000000000000000000000..79dc3c7c74075bcdff1b1708a729c5f969531271 --- /dev/null +++ b/data/ASCVD/Prostate_Cancer_4/test/metab.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6fa11632b576c420085b4a7043d051b51772e85a4673e755606e041421015612 +size 2184466 diff --git a/data/ASCVD/Prostate_Cancer_4/test/metab_image.npy b/data/ASCVD/Prostate_Cancer_4/test/metab_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..f57cbe91189850048ece106323842fe3a025c4ec --- /dev/null +++ b/data/ASCVD/Prostate_Cancer_4/test/metab_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:daeb9e5254b98ef6d546b2e63f2070fc31efcca9509eec0fe0c736f5e0094dd0 +size 2644640 diff --git a/data/ASCVD/Prostate_Cancer_4/test/pheno.feather b/data/ASCVD/Prostate_Cancer_4/test/pheno.feather new file mode 100644 index 0000000000000000000000000000000000000000..e2ab4dc8b45eb29198fcd0fb7d92856392c685d9 --- /dev/null +++ b/data/ASCVD/Prostate_Cancer_4/test/pheno.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e43b35ac313943d5dcbef31131be008cb20cbb8650ca2d465b705abe84fcf5c6 +size 299682 diff --git a/data/ASCVD/Prostate_Cancer_4/test/prote.feather b/data/ASCVD/Prostate_Cancer_4/test/prote.feather new file mode 100644 index 0000000000000000000000000000000000000000..047b8acd3c65b11f24ce0cd08e1d97bd93dbef97 --- /dev/null +++ b/data/ASCVD/Prostate_Cancer_4/test/prote.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ee59e5314cf22c08d47fc684d1cd2a4466004e3d74676f74070dace6a490175f +size 45705786 diff --git a/data/ASCVD/Prostate_Cancer_4/test/prote_image.npy b/data/ASCVD/Prostate_Cancer_4/test/prote_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..e9ed9a38b4d64ac4f2c5fb4c2a4b99bcd0e0f40c --- /dev/null +++ b/data/ASCVD/Prostate_Cancer_4/test/prote_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a742d6eeafc0f351b900a1e1b3ce1819cffe6817218108b9bd90cf393aee3c9a +size 47335328 diff --git a/data/ASCVD/Prostate_Cancer_4/train/metab.feather b/data/ASCVD/Prostate_Cancer_4/train/metab.feather new file mode 100644 index 0000000000000000000000000000000000000000..b919cdbf464ec9e9f4971f76615b747b79893fd2 --- /dev/null +++ b/data/ASCVD/Prostate_Cancer_4/train/metab.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2ff8d6751fff03fa4dea3f3e88140eeffdf18c94da8e6671b850daaaf9aaf0d8 +size 7511410 diff --git a/data/ASCVD/Prostate_Cancer_4/train/metab_image.npy b/data/ASCVD/Prostate_Cancer_4/train/metab_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..581a4dfc3b70c37881c1f61811679d8eec3638e7 --- /dev/null +++ b/data/ASCVD/Prostate_Cancer_4/train/metab_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:74f1749a70dd8928a80fdc1d27196872e87313de072218751af05fe8373ca7ea +size 10222600 diff --git a/data/ASCVD/Prostate_Cancer_4/train/pheno.feather b/data/ASCVD/Prostate_Cancer_4/train/pheno.feather new file mode 100644 index 0000000000000000000000000000000000000000..b41ac67959731976f1c10636e458390d950de453 --- /dev/null +++ b/data/ASCVD/Prostate_Cancer_4/train/pheno.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d76943316c100814ff2472d9c188d25492a68b722a7adcf3c3f530c4013b5350 +size 1042866 diff --git a/data/ASCVD/Prostate_Cancer_4/train/prote.feather b/data/ASCVD/Prostate_Cancer_4/train/prote.feather new file mode 100644 index 0000000000000000000000000000000000000000..e590f3ab24577af0f6cb873bd4b538db4c54b2e6 --- /dev/null +++ b/data/ASCVD/Prostate_Cancer_4/train/prote.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:43b2cef21821fb534e2d16db74460c64be992bd37af1b86313676c7fda1d78c0 +size 170671074 diff --git a/data/ASCVD/Prostate_Cancer_4/train/prote_image.npy b/data/ASCVD/Prostate_Cancer_4/train/prote_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..ceb67316944fd0a57d12add8b4b9a3be03dc04c9 --- /dev/null +++ b/data/ASCVD/Prostate_Cancer_4/train/prote_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:56dd4180df1f495fd3f37e4e2c35274f00fca04e081170702a6674fd8fdee4ec +size 182976328 diff --git a/data/ASCVD/Renal_Disease_2/test/metab_image.npy b/data/ASCVD/Renal_Disease_2/test/metab_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..68d021efaff230d9332a7dff9c3eb77aa06e3585 --- /dev/null +++ b/data/ASCVD/Renal_Disease_2/test/metab_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:af28294cc491c70b2fef44d7c14a73e9316963872527fc1184b859e6e44a0572 +size 5721792 diff --git a/data/ASCVD/Renal_Disease_2/test/pheno.feather b/data/ASCVD/Renal_Disease_2/test/pheno.feather new file mode 100644 index 0000000000000000000000000000000000000000..0ef78b2c7acd4992a391f04a5b06b737525df5a5 --- /dev/null +++ b/data/ASCVD/Renal_Disease_2/test/pheno.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:aaef4363e538b2ab7e61ce6cf30e58ba5776107ad7d695d3ada4dd8361979afb +size 610778 diff --git a/data/ASCVD/Renal_Disease_2/test/prote_image.npy b/data/ASCVD/Renal_Disease_2/test/prote_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..e054280851af93fa88dd38e272b7eff7f4959546 --- /dev/null +++ b/data/ASCVD/Renal_Disease_2/test/prote_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b0e83d96e10ac086f88dbbecca2522d4108e84d823d2fe146ba2f7ee5ddff4ed +size 102414528 diff --git a/data/ASCVD/Renal_Disease_2/train/pheno.feather b/data/ASCVD/Renal_Disease_2/train/pheno.feather new file mode 100644 index 0000000000000000000000000000000000000000..056f8c4a66dd336b2acf06482599ff1fbe422111 --- /dev/null +++ b/data/ASCVD/Renal_Disease_2/train/pheno.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b6983fb4353dab5ff34f04f47075ffb8b0a5e880365a23fb06a5b1a34b09005d +size 2392042 diff --git a/data/ASCVD/Skin_Cancer_2/test/metab.feather b/data/ASCVD/Skin_Cancer_2/test/metab.feather new file mode 100644 index 0000000000000000000000000000000000000000..f53668eaa5e5ff7a5b6b47a394329965a1dc6c19 --- /dev/null +++ b/data/ASCVD/Skin_Cancer_2/test/metab.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6251a7ee499566fc85208b620fc3e72da19ac6c40a89a8d8d0e5bedd17ea2760 +size 4333210 diff --git a/data/ASCVD/Skin_Cancer_2/test/metab_image.npy b/data/ASCVD/Skin_Cancer_2/test/metab_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..4680a0046950cdda7f3fb61b5578e8bfec850f06 --- /dev/null +++ b/data/ASCVD/Skin_Cancer_2/test/metab_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:06466e72d8dfab9be98b217920bbd02d38bc561537d833c47cbb7fbd2e63c584 +size 5663656 diff --git a/data/ASCVD/Skin_Cancer_2/test/pheno.feather b/data/ASCVD/Skin_Cancer_2/test/pheno.feather new file mode 100644 index 0000000000000000000000000000000000000000..bf3a77c2451345ff1feb89393cc36a6e6318e99c --- /dev/null +++ b/data/ASCVD/Skin_Cancer_2/test/pheno.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:eeaed4b0459eaf890699bc1e625078f56a438106353b078595a26d32192846f6 +size 605778 diff --git a/data/ASCVD/Skin_Cancer_2/test/prote.feather b/data/ASCVD/Skin_Cancer_2/test/prote.feather new file mode 100644 index 0000000000000000000000000000000000000000..9c67f888c3b6efb4aca30b87df90c3fa60bee335 --- /dev/null +++ b/data/ASCVD/Skin_Cancer_2/test/prote.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6ab9d7d70222cb0d43c13da3076615f4cb66b980b2ae1a6862e39a7ff4c23d36 +size 95639666 diff --git a/data/ASCVD/Skin_Cancer_2/test/prote_image.npy b/data/ASCVD/Skin_Cancer_2/test/prote_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..dfd7c02e5f304a0b53d33a46a4e3bec516176078 --- /dev/null +++ b/data/ASCVD/Skin_Cancer_2/test/prote_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8ed5ed2bff6e43182945b6789beaf90f537ed9f06a09437d688b687af58521d4 +size 101373928 diff --git a/data/ASCVD/Skin_Cancer_2/train/metab.feather b/data/ASCVD/Skin_Cancer_2/train/metab.feather new file mode 100644 index 0000000000000000000000000000000000000000..54c05db7f877c7efac904df966aadc7e3393106d --- /dev/null +++ b/data/ASCVD/Skin_Cancer_2/train/metab.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:67c1a0352e65a63128c65fcabaa2e29342e9977be578d3c1be5f5c9892f172a3 +size 18276370 diff --git a/data/ASCVD/Skin_Cancer_2/train/metab_image.npy b/data/ASCVD/Skin_Cancer_2/train/metab_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..c23c880eac8fed40fa6050f96f5f18638ab1e7f7 --- /dev/null +++ b/data/ASCVD/Skin_Cancer_2/train/metab_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1bdb4e18f300ccc0bece22aace77fcf788d119a295e69219f8f74f3e35193558 +size 22738064 diff --git a/data/ASCVD/Skin_Cancer_2/train/pheno.feather b/data/ASCVD/Skin_Cancer_2/train/pheno.feather new file mode 100644 index 0000000000000000000000000000000000000000..e2af14a911d0b16b7dbb80fbb2790e656e85e3f0 --- /dev/null +++ b/data/ASCVD/Skin_Cancer_2/train/pheno.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0ad89f703c1efdf4631313d49a47544eaaa70d40175141c2f2092d0e07ad3961 +size 2410250 diff --git a/data/ASCVD/Skin_Cancer_2/train/prote.feather b/data/ASCVD/Skin_Cancer_2/train/prote.feather new file mode 100644 index 0000000000000000000000000000000000000000..7c832ee782ec0259d2f950c627814a1a4da43e80 --- /dev/null +++ b/data/ASCVD/Skin_Cancer_2/train/prote.feather @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5a8d726bca0d1593f1012ac81da26dcb4816075162db7ce05939372dea27059d +size 382842138 diff --git a/data/ASCVD/Skin_Cancer_2/train/prote_image.npy b/data/ASCVD/Skin_Cancer_2/train/prote_image.npy new file mode 100644 index 0000000000000000000000000000000000000000..469fc25d7286848add92af20f371f66f6db1cd67 --- /dev/null +++ b/data/ASCVD/Skin_Cancer_2/train/prote_image.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4046698d9c2da2c703ac53e2b3d65d0d56f16fd9e9f1d43c49fbf1a141e9ef5e +size 406995728 diff --git a/data/age_sex/Cataracts_1/test/ids.json b/data/age_sex/Cataracts_1/test/ids.json new file mode 100644 index 0000000000000000000000000000000000000000..87e3f27f15bbb73a62a08a177b2e958bf1187a5e --- /dev/null +++ b/data/age_sex/Cataracts_1/test/ids.json @@ -0,0 +1 @@ +[1002505, 1002726, 1003740, 1005722, 1005781, 1006832, 1008269, 1008351, 1008549, 1008565, 1009716, 1015260, 1016116, 1017191, 1018713, 1019868, 1020985, 1021485, 1022088, 1022841, 1023625, 1023921, 1024029, 1025987, 1026172, 1027371, 1029244, 1033494, 1035593, 1036270, 1038138, 1039133, 1040833, 1041614, 1042610, 1044775, 1045315, 1045867, 1046566, 1048182, 1048638, 1049101, 1050096, 1050346, 1052617, 1053686, 1053981, 1054477, 1054828, 1055473, 1058457, 1059271, 1059587, 1059720, 1059814, 1060673, 1061458, 1063381, 1065848, 1068817, 1069960, 1073000, 1073848, 1074684, 1074823, 1075490, 1076309, 1077736, 1080690, 1080854, 1082649, 1086524, 1087494, 1087571, 1087622, 1087872, 1089226, 1089368, 1089875, 1089982, 1092900, 1093186, 1093557, 1095161, 1097069, 1097940, 1100373, 1101281, 1102336, 1102853, 1103157, 1105452, 1106575, 1107137, 1110010, 1110645, 1111067, 1113074, 1117464, 1120298, 1121572, 1121785, 1122776, 1123749, 1125371, 1126529, 1127214, 1127833, 1128123, 1128752, 1128992, 1129829, 1130576, 1131098, 1132133, 1133604, 1136672, 1136783, 1137536, 1137545, 1137692, 1138711, 1139476, 1139849, 1140318, 1141139, 1141402, 1142206, 1142326, 1144593, 1147502, 1147655, 1148960, 1149669, 1150108, 1151032, 1158474, 1158538, 1161130, 1161905, 1162006, 1165895, 1167628, 1167644, 1169366, 1169462, 1171454, 1171784, 1177303, 1180623, 1181692, 1185290, 1188052, 1188776, 1189981, 1191629, 1193480, 1193729, 1193773, 1196613, 1198078, 1198996, 1199925, 1200872, 1201541, 1201646, 1204989, 1205086, 1205160, 1205322, 1208510, 1210072, 1210377, 1210933, 1211719, 1212938, 1213275, 1218014, 1219339, 1219523, 1222408, 1223300, 1223411, 1223528, 1224562, 1226732, 1226994, 1234439, 1234985, 1235929, 1236408, 1238893, 1239282, 1239885, 1241890, 1241959, 1243822, 1244407, 1245018, 1245446, 1248684, 1251479, 1252896, 1253046, 1253691, 1254189, 1254587, 1255107, 1255989, 1257498, 1257642, 1264706, 1266487, 1268239, 1268715, 1270641, 1271859, 1271978, 1276036, 1276331, 1276350, 1277220, 1282289, 1282982, 1283387, 1283640, 1285521, 1289698, 1292131, 1293802, 1296140, 1299033, 1299361, 1299552, 1300466, 1302444, 1302877, 1304528, 1304983, 1306997, 1309159, 1312815, 1314814, 1314928, 1315729, 1315967, 1316397, 1316649, 1316730, 1320098, 1320808, 1321480, 1323309, 1325267, 1325965, 1326036, 1328379, 1329460, 1330849, 1333955, 1334421, 1334626, 1335046, 1338512, 1338638, 1342952, 1343600, 1344419, 1347533, 1348657, 1349988, 1350600, 1351149, 1351473, 1352538, 1354708, 1355698, 1356100, 1356975, 1359656, 1361162, 1366065, 1367321, 1369153, 1369211, 1370020, 1370088, 1370714, 1371047, 1371741, 1375988, 1381963, 1382366, 1382541, 1382559, 1386557, 1387064, 1387409, 1389295, 1389924, 1392775, 1394635, 1395703, 1397721, 1397798, 1404118, 1406131, 1408540, 1408658, 1408962, 1409344, 1412024, 1412799, 1420188, 1420485, 1421133, 1421506, 1423899, 1424176, 1425336, 1426615, 1434295, 1436944, 1437423, 1438393, 1439140, 1440279, 1440805, 1441328, 1441620, 1442395, 1442678, 1444471, 1445681, 1446261, 1448140, 1448242, 1448415, 1448860, 1450332, 1452143, 1452645, 1454225, 1454780, 1456194, 1458906, 1459191, 1461686, 1462056, 1465557, 1466950, 1468869, 1469712, 1471508, 1473582, 1475132, 1478208, 1479054, 1479412, 1481219, 1482282, 1485158, 1487157, 1487248, 1488167, 1489112, 1490394, 1493061, 1494092, 1494452, 1494820, 1495205, 1495519, 1495829, 1496967, 1498712, 1499845, 1500207, 1502367, 1502378, 1507724, 1507966, 1508006, 1510386, 1511878, 1513568, 1513979, 1514987, 1515230, 1518480, 1519072, 1520946, 1521144, 1523812, 1524953, 1526697, 1530500, 1532019, 1532609, 1533066, 1535915, 1536683, 1536875, 1537454, 1540388, 1540516, 1543226, 1545718, 1546039, 1546040, 1547462, 1547675, 1550255, 1550625, 1553164, 1555167, 1555546, 1557162, 1557889, 1559327, 1561693, 1562886, 1565884, 1568631, 1569440, 1570704, 1571021, 1572254, 1572305, 1572988, 1575123, 1576274, 1577841, 1578164, 1587608, 1587851, 1593542, 1593696, 1594735, 1596291, 1598046, 1598471, 1599896, 1600410, 1602192, 1604626, 1608646, 1608772, 1609279, 1610917, 1611841, 1613407, 1613483, 1614232, 1614874, 1615072, 1617794, 1617866, 1619851, 1629734, 1630533, 1630565, 1633529, 1635952, 1638413, 1638519, 1638694, 1643749, 1644592, 1644973, 1645371, 1651016, 1651623, 1654683, 1656549, 1656994, 1658048, 1659589, 1660563, 1661483, 1661833, 1662045, 1663458, 1664396, 1666646, 1667040, 1667180, 1668496, 1668610, 1669020, 1671314, 1671421, 1672391, 1673844, 1675103, 1675552, 1676233, 1678138, 1678296, 1678489, 1678657, 1678818, 1679675, 1680856, 1681845, 1681874, 1683308, 1683537, 1683746, 1684216, 1685047, 1687838, 1689019, 1689878, 1692152, 1692649, 1694059, 1695981, 1699970, 1702516, 1703749, 1704054, 1704333, 1705660, 1708036, 1709702, 1709847, 1711749, 1713199, 1714520, 1715725, 1716188, 1717016, 1717593, 1717694, 1717720, 1719243, 1719657, 1722633, 1724946, 1725765, 1726886, 1726963, 1729586, 1732311, 1735125, 1735731, 1736509, 1736682, 1737185, 1737314, 1737421, 1738181, 1738503, 1739863, 1739929, 1741796, 1743723, 1749410, 1750866, 1751870, 1753560, 1754269, 1754504, 1755477, 1756687, 1757128, 1758127, 1759096, 1760004, 1760082, 1763344, 1763555, 1768754, 1769487, 1771333, 1772522, 1773139, 1774840, 1776576, 1779793, 1779940, 1780970, 1781000, 1781272, 1782356, 1783790, 1785413, 1786249, 1788397, 1788954, 1789902, 1792928, 1793752, 1796344, 1796372, 1798355, 1801168, 1802068, 1803382, 1804084, 1804117, 1805292, 1806154, 1806574, 1807258, 1807405, 1808119, 1808884, 1808910, 1810484, 1812204, 1812729, 1812750, 1814698, 1816896, 1817353, 1817568, 1818458, 1818796, 1818935, 1821679, 1822235, 1823218, 1824440, 1826780, 1827507, 1827510, 1827608, 1827721, 1828153, 1828700, 1828860, 1830103, 1832778, 1832835, 1834462, 1835359, 1835496, 1836603, 1836787, 1837062, 1837251, 1837818, 1838906, 1839230, 1839629, 1840947, 1844037, 1844387, 1846250, 1846425, 1847625, 1848608, 1850244, 1851222, 1851236, 1855802, 1856033, 1857778, 1858978, 1860104, 1862092, 1863754, 1864189, 1865249, 1866556, 1868425, 1871367, 1874168, 1874793, 1878450, 1878577, 1880692, 1881591, 1883913, 1884540, 1886139, 1887615, 1888058, 1890487, 1890599, 1890864, 1891928, 1893220, 1893300, 1894394, 1894904, 1895308, 1897480, 1899534, 1899664, 1899679, 1899975, 1901059, 1901391, 1903205, 1903469, 1907974, 1909868, 1910241, 1912594, 1913202, 1914105, 1916195, 1920056, 1920676, 1921045, 1922651, 1929506, 1929897, 1929915, 1930412, 1932677, 1933217, 1939439, 1939521, 1940178, 1940593, 1940694, 1941806, 1943865, 1947374, 1947839, 1948038, 1948635, 1952437, 1952916, 1955019, 1957623, 1958003, 1959146, 1960132, 1960249, 1960750, 1964835, 1966312, 1966394, 1966443, 1966661, 1967602, 1971842, 1972682, 1976630, 1976873, 1977151, 1978605, 1978823, 1979451, 1979949, 1981080, 1983453, 1984004, 1985684, 1988432, 1988503, 1989252, 1991485, 1994119, 1994871, 1998501, 2002055, 2003730, 2005634, 2006732, 2007684, 2008032, 2008809, 2009181, 2009499, 2009865, 2013487, 2015149, 2017317, 2017542, 2018775, 2022524, 2023106, 2023807, 2026882, 2028554, 2029236, 2029754, 2030404, 2031315, 2034924, 2035770, 2039970, 2040029, 2040336, 2041380, 2044826, 2046078, 2048341, 2049967, 2050253, 2050538, 2053432, 2053602, 2053901, 2055359, 2056433, 2058427, 2059066, 2059583, 2060181, 2061040, 2066115, 2067497, 2070283, 2072334, 2072561, 2072936, 2073108, 2076008, 2078113, 2079115, 2079703, 2080173, 2080754, 2081863, 2084279, 2084730, 2085637, 2087165, 2087836, 2087902, 2088831, 2089386, 2089966, 2091626, 2091905, 2094027, 2094662, 2094900, 2096762, 2096806, 2098175, 2100150, 2100691, 2101252, 2101566, 2102597, 2105059, 2106704, 2113131, 2114779, 2115216, 2115480, 2115877, 2115911, 2117655, 2118247, 2119645, 2119767, 2121324, 2123454, 2126854, 2127591, 2127794, 2128617, 2128890, 2130041, 2131389, 2132290, 2134515, 2135281, 2135516, 2135672, 2137376, 2137552, 2137788, 2143600, 2144733, 2155649, 2159484, 2161484, 2162279, 2164380, 2166142, 2168500, 2169508, 2170319, 2171892, 2172060, 2173180, 2173614, 2173716, 2175011, 2176289, 2176479, 2178013, 2178899, 2180084, 2182601, 2183073, 2183381, 2183785, 2183818, 2184402, 2185022, 2185634, 2185760, 2187747, 2188669, 2189094, 2189919, 2190818, 2191041, 2191555, 2192861, 2193383, 2193796, 2193814, 2194826, 2195995, 2197092, 2197561, 2197721, 2197798, 2204218, 2205978, 2206839, 2210861, 2213624, 2214113, 2216098, 2217950, 2219171, 2220664, 2220919, 2221128, 2222072, 2222916, 2223051, 2224347, 2224421, 2225799, 2227497, 2230132, 2230491, 2232707, 2232783, 2233367, 2235034, 2235646, 2237113, 2239218, 2240351, 2241143, 2242545, 2244907, 2245620, 2249123, 2249551, 2249738, 2250153, 2255111, 2255972, 2259089, 2259276, 2262796, 2262956, 2264088, 2265086, 2266197, 2268277, 2271354, 2271677, 2272248, 2273031, 2273455, 2274632, 2279425, 2280621, 2280839, 2280866, 2280999, 2281448, 2281753, 2286709, 2289352, 2292412, 2292485, 2293145, 2293391, 2293833, 2294116, 2294772, 2294881, 2298484, 2299084, 2299156, 2299843, 2299896, 2300099, 2300115, 2302070, 2303130, 2305665, 2306407, 2306718, 2307464, 2308561, 2310140, 2310443, 2310700, 2313382, 2313423, 2315560, 2316795, 2319339, 2319408, 2320583, 2323014, 2323047, 2323785, 2325854, 2328349, 2330296, 2330706, 2330730, 2331231, 2331503, 2332655, 2333082, 2334492, 2334761, 2334923, 2336339, 2337390, 2338359, 2339773, 2340013, 2340123, 2340449, 2340807, 2340899, 2341453, 2341923, 2344085, 2345716, 2346082, 2346239, 2347703, 2348823, 2351140, 2351394, 2351824, 2352460, 2353351, 2353504, 2353855, 2354065, 2354474, 2354702, 2355868, 2355967, 2357537, 2358094, 2360024, 2362107, 2362786, 2366053, 2366631, 2372539, 2373158, 2375166, 2376069, 2378912, 2382562, 2383989, 2384807, 2385038, 2386083, 2387361, 2387469, 2387779, 2389961, 2390298, 2390955, 2394179, 2395392, 2395601, 2396921, 2398314, 2400077, 2401896, 2402072, 2403841, 2406406, 2406790, 2407751, 2408042, 2413534, 2417794, 2419285, 2419311, 2419765, 2421385, 2426563, 2426723, 2429423, 2430557, 2432877, 2433713, 2433933, 2435068, 2436117, 2437687, 2439280, 2439347, 2442504, 2442710, 2445327, 2445858, 2447499, 2448953, 2449779, 2449829, 2453489, 2454586, 2455209, 2455760, 2457088, 2457265, 2459503, 2459643, 2460591, 2460723, 2461753, 2462209, 2465333, 2465844, 2465914, 2468610, 2469747, 2471386, 2473962, 2474647, 2478403, 2478580, 2482831, 2483331, 2483482, 2484773, 2485358, 2485818, 2485907, 2486023, 2487550, 2487562, 2487654, 2488053, 2489598, 2491582, 2493530, 2494012, 2494250, 2495163, 2495446, 2496348, 2497592, 2498037, 2498747, 2498762, 2499531, 2500056, 2502309, 2503809, 2505155, 2505348, 2506795, 2508313, 2508932, 2509327, 2510710, 2511412, 2512079, 2513586, 2514152, 2514670, 2514682, 2515041, 2516913, 2517506, 2518178, 2521006, 2523538, 2523751, 2524732, 2524968, 2526149, 2527757, 2528166, 2528278, 2528887, 2529618, 2531270, 2531428, 2531618, 2531762, 2532246, 2532333, 2532726, 2534384, 2535529, 2535531, 2537741, 2539117, 2539749, 2541170, 2541495, 2542641, 2544360, 2545853, 2549754, 2550263, 2551427, 2552871, 2553585, 2553728, 2554924, 2554975, 2556873, 2557674, 2557809, 2559801, 2561017, 2562040, 2563147, 2563656, 2563672, 2572072, 2574395, 2575236, 2575803, 2576828, 2577796, 2579397, 2581296, 2584553, 2585744, 2586359, 2586683, 2593243, 2594562, 2594860, 2595331, 2596364, 2596598, 2596691, 2597265, 2598224, 2599696, 2602992, 2603266, 2604315, 2604609, 2606429, 2609319, 2610156, 2611189, 2611850, 2614091, 2614700, 2616748, 2617417, 2624156, 2624851, 2625873, 2627269, 2628073, 2628124, 2628723, 2630382, 2630962, 2632847, 2634513, 2634926, 2636273, 2636620, 2638614, 2638837, 2639521, 2642711, 2643643, 2643739, 2644042, 2646130, 2646678, 2649027, 2650483, 2650901, 2651757, 2652153, 2653265, 2655162, 2656025, 2656986, 2659146, 2660393, 2662245, 2662516, 2663230, 2664844, 2665248, 2665408, 2667214, 2672907, 2675969, 2676779, 2677293, 2677584, 2677742, 2679654, 2680170, 2680920, 2681654, 2682367, 2682493, 2682922, 2685176, 2685249, 2685513, 2685989, 2686086, 2686805, 2687449, 2688503, 2689179, 2689196, 2690236, 2693607, 2693838, 2694657, 2695229, 2695262, 2695534, 2695643, 2696532, 2698677, 2698928, 2701125, 2701444, 2703425, 2705080, 2706655, 2709650, 2709900, 2709981, 2710563, 2710698, 2710976, 2712416, 2712807, 2713266, 2713436, 2714200, 2714405, 2715349, 2715566, 2716431, 2717614, 2718192, 2719903, 2722204, 2724839, 2724892, 2725503, 2726576, 2727318, 2727902, 2727951, 2732174, 2734629, 2734922, 2735021, 2736463, 2739836, 2743684, 2745351, 2746441, 2746518, 2747310, 2747873, 2749528, 2750319, 2751279, 2752959, 2756192, 2756904, 2757295, 2757328, 2758000, 2758395, 2760367, 2762473, 2762559, 2762660, 2763237, 2763544, 2764496, 2769174, 2771340, 2774148, 2774249, 2774456, 2775300, 2775556, 2776804, 2777153, 2777722, 2778452, 2778608, 2778969, 2779484, 2780498, 2781725, 2782455, 2783495, 2783660, 2784286, 2788298, 2789415, 2789745, 2791278, 2792212, 2792770, 2793019, 2794399, 2795786, 2795990, 2796345, 2799032, 2799151, 2800634, 2801440, 2805958, 2807048, 2807115, 2808823, 2809479, 2809801, 2810430, 2810681, 2811881, 2816727, 2817289, 2818390, 2823749, 2824102, 2824246, 2824658, 2826323, 2827870, 2828013, 2829057, 2829743, 2831847, 2832283, 2834035, 2834610, 2834921, 2836504, 2837569, 2839085, 2842285, 2842704, 2843108, 2844253, 2844560, 2846138, 2846296, 2846794, 2847537, 2847626, 2849423, 2849600, 2850087, 2850150, 2850725, 2851025, 2851048, 2851246, 2852435, 2854152, 2857964, 2858134, 2858593, 2859329, 2862410, 2865057, 2866387, 2866456, 2867930, 2868907, 2870961, 2870983, 2874297, 2876276, 2876384, 2876523, 2877084, 2877997, 2878648, 2879020, 2879545, 2882252, 2885278, 2885632, 2886228, 2888521, 2890169, 2891053, 2891334, 2892009, 2892801, 2893132, 2894738, 2895878, 2897400, 2897587, 2897796, 2898858, 2900536, 2901489, 2901785, 2903475, 2905276, 2905646, 2906192, 2906341, 2907012, 2907602, 2908036, 2912153, 2916430, 2916880, 2918210, 2920596, 2920905, 2922369, 2925576, 2927382, 2928868, 2929573, 2930261, 2930822, 2933038, 2933108, 2934266, 2934928, 2941720, 2942318, 2943478, 2943698, 2944415, 2945787, 2946617, 2946842, 2947020, 2949380, 2949739, 2951407, 2952537, 2953445, 2955238, 2956182, 2961020, 2962789, 2962973, 2963136, 2964210, 2967008, 2972257, 2972500, 2972885, 2976191, 2976888, 2977149, 2977594, 2978082, 2979347, 2982602, 2985501, 2986301, 2986653, 2987173, 2989133, 2989638, 2990061, 2990681, 2991800, 2992111, 2992668, 2993291, 2995616, 2996023, 2996309, 2998900, 3003233, 3004470, 3005803, 3006025, 3008638, 3010436, 3011346, 3012986, 3013432, 3013542, 3014318, 3014920, 3015226, 3017839, 3018087, 3021306, 3021573, 3021586, 3021769, 3021824, 3022156, 3022294, 3023173, 3028542, 3030001, 3030570, 3031025, 3032183, 3034243, 3035651, 3035975, 3036156, 3036311, 3039130, 3039235, 3040282, 3040830, 3040934, 3041279, 3041983, 3042776, 3042799, 3045473, 3046654, 3047461, 3048106, 3048515, 3050084, 3051178, 3051677, 3054562, 3054949, 3055719, 3056213, 3056337, 3056923, 3058441, 3058518, 3058929, 3060961, 3063694, 3064754, 3065540, 3066652, 3066687, 3068965, 3069747, 3069750, 3069762, 3070625, 3072534, 3073412, 3077108, 3077405, 3077710, 3078124, 3078300, 3079198, 3079254, 3079772, 3080755, 3080767, 3084088, 3085138, 3085434, 3086023, 3087625, 3088084, 3089867, 3090395, 3092682, 3095487, 3095770, 3096497, 3098051, 3099420, 3101646, 3103738, 3104096, 3105544, 3106461, 3106542, 3107531, 3110184, 3113349, 3114378, 3114629, 3115413, 3116750, 3117776, 3118336, 3118397, 3121963, 3124306, 3126269, 3126274, 3128789, 3131567, 3131771, 3132256, 3132520, 3133190, 3135076, 3135789, 3136902, 3138676, 3139360, 3140130, 3141617, 3144784, 3145040, 3145650, 3146266, 3146935, 3147076, 3147293, 3150619, 3151063, 3151312, 3151998, 3157036, 3157678, 3159201, 3159863, 3159914, 3160114, 3160173, 3161518, 3161553, 3162199, 3162204, 3163359, 3166172, 3167042, 3167541, 3168218, 3168546, 3170253, 3172032, 3178994, 3179802, 3180740, 3181704, 3183812, 3183967, 3184678, 3186357, 3188104, 3188392, 3189403, 3194645, 3195601, 3195951, 3197286, 3198807, 3199021, 3200479, 3201362, 3201984, 3202739, 3203333, 3205376, 3208101, 3209339, 3209523, 3209675, 3210761, 3213402, 3214649, 3214866, 3215792, 3217541, 3217585, 3217822, 3218348, 3219123, 3220288, 3221526, 3221718, 3223271, 3224320, 3226371, 3229444, 3230575, 3231786, 3232441, 3237785, 3239084, 3239342, 3242935, 3243825, 3244338, 3244456, 3246181, 3247699, 3247875, 3247965, 3248614, 3251994, 3252101, 3258714, 3260728, 3261080, 3263297, 3263582, 3264764, 3271662, 3272118, 3273002, 3273955, 3275269, 3276539, 3277436, 3277702, 3278675, 3278858, 3281426, 3283277, 3283510, 3284120, 3285601, 3285728, 3286306, 3287461, 3288861, 3289178, 3289956, 3290156, 3290277, 3291685, 3292408, 3292675, 3294648, 3295000, 3296842, 3297513, 3298275, 3302576, 3303516, 3305684, 3305926, 3308380, 3309962, 3312805, 3313225, 3314727, 3316016, 3316497, 3318338, 3318653, 3322063, 3322758, 3325504, 3327332, 3328327, 3328763, 3331698, 3331871, 3331910, 3331961, 3332129, 3332617, 3333040, 3333733, 3334382, 3334494, 3335299, 3336242, 3337214, 3338256, 3339873, 3341600, 3341844, 3342456, 3345214, 3346757, 3347090, 3347523, 3347717, 3349000, 3351719, 3352696, 3352784, 3353947, 3354695, 3354851, 3355685, 3355779, 3356666, 3360539, 3360681, 3361198, 3365591, 3368294, 3370704, 3371190, 3375209, 3377522, 3377671, 3380633, 3381534, 3381739, 3383057, 3384038, 3384046, 3385007, 3387027, 3388547, 3390049, 3390240, 3391978, 3392201, 3393740, 3394034, 3395377, 3395921, 3396861, 3398046, 3401499, 3401542, 3401615, 3401696, 3401784, 3402235, 3402793, 3404046, 3404628, 3406318, 3407334, 3408547, 3409282, 3409841, 3409978, 3412225, 3412254, 3415953, 3416783, 3419113, 3419784, 3420514, 3421927, 3423494, 3424599, 3427343, 3428768, 3429299, 3430304, 3430571, 3430600, 3433386, 3436511, 3440587, 3440935, 3442196, 3442622, 3442789, 3445893, 3448609, 3449401, 3450059, 3450136, 3450158, 3451820, 3452127, 3452139, 3453859, 3455941, 3457422, 3460387, 3463259, 3463487, 3466323, 3466377, 3466531, 3467476, 3467602, 3473182, 3473371, 3473744, 3475066, 3477321, 3477789, 3478444, 3478926, 3479139, 3480447, 3480450, 3482367, 3482378, 3482532, 3482614, 3482798, 3484383, 3484445, 3485750, 3487168, 3487228, 3487603, 3488286, 3488865, 3491357, 3491726, 3491828, 3492639, 3492640, 3495924, 3496981, 3497486, 3497646, 3499690, 3500074, 3501024, 3501635, 3502768, 3503462, 3505355, 3505599, 3507349, 3508428, 3509700, 3510115, 3511198, 3511339, 3512751, 3517009, 3517965, 3518452, 3520627, 3521322, 3524196, 3525462, 3526496, 3527041, 3528013, 3528421, 3532951, 3533489, 3536320, 3537216, 3540254, 3541595, 3543834, 3544445, 3545015, 3546572, 3547626, 3548483, 3549076, 3549365, 3551164, 3552605, 3552640, 3553982, 3556109, 3556172, 3557003, 3557248, 3558134, 3558850, 3559655, 3561787, 3561953, 3562952, 3563143, 3568616, 3568657, 3568866, 3571410, 3571503, 3573501, 3575459, 3575950, 3578595, 3579773, 3579786, 3579823, 3582032, 3582973, 3584568, 3587768, 3588114, 3589599, 3590262, 3590651, 3591493, 3592443, 3593265, 3593352, 3594069, 3595315, 3597458, 3598089, 3599062, 3599591, 3600428, 3600747, 3600841, 3601175, 3602867, 3602930, 3603268, 3604357, 3605450, 3606171, 3606529, 3607454, 3608235, 3608421, 3610169, 3611334, 3613154, 3616539, 3617190, 3617808, 3618523, 3619374, 3621315, 3624407, 3624771, 3625757, 3625820, 3625896, 3626685, 3627370, 3628346, 3630506, 3630512, 3633617, 3633707, 3634445, 3634779, 3635249, 3635480, 3638407, 3638602, 3638857, 3639293, 3639316, 3640843, 3642232, 3644875, 3646617, 3647574, 3648908, 3650490, 3652217, 3655025, 3655061, 3658713, 3659346, 3660178, 3660436, 3660873, 3662430, 3662711, 3664232, 3667369, 3667403, 3668557, 3670803, 3670826, 3671527, 3673226, 3675030, 3675739, 3676156, 3676180, 3676342, 3677149, 3678016, 3680385, 3682960, 3684576, 3690316, 3691116, 3693362, 3696975, 3698223, 3701065, 3702089, 3702392, 3705280, 3705689, 3705760, 3707110, 3708477, 3709286, 3709857, 3712302, 3716028, 3718022, 3718449, 3722677, 3723000, 3723918, 3723939, 3723966, 3724265, 3726335, 3727044, 3727242, 3728583, 3729236, 3729521, 3730634, 3730861, 3732535, 3733340, 3733638, 3734363, 3734503, 3736458, 3737120, 3737260, 3744783, 3746951, 3747608, 3747936, 3750189, 3757411, 3758274, 3760718, 3760865, 3761765, 3764876, 3767155, 3767886, 3769999, 3771105, 3771420, 3772390, 3773748, 3774944, 3775176, 3778181, 3780418, 3782110, 3783970, 3785356, 3786084, 3788082, 3792363, 3792372, 3795538, 3796183, 3797889, 3798119, 3798794, 3800811, 3802257, 3802375, 3802456, 3803118, 3805335, 3807601, 3807979, 3816374, 3816509, 3817579, 3817738, 3819645, 3820779, 3821729, 3821786, 3822485, 3823030, 3823295, 3823804, 3829156, 3830030, 3830578, 3831438, 3832547, 3835364, 3835930, 3836349, 3836423, 3837190, 3837743, 3837873, 3839095, 3839455, 3840683, 3841280, 3842231, 3843246, 3844311, 3844401, 3844851, 3846088, 3850219, 3851687, 3852560, 3852606, 3854627, 3858820, 3858936, 3859131, 3860854, 3861533, 3862983, 3863207, 3863717, 3863964, 3865268, 3865493, 3874224, 3876982, 3877273, 3877602, 3880156, 3880223, 3881980, 3884118, 3884595, 3885498, 3886492, 3888636, 3889174, 3889214, 3889688, 3893021, 3895406, 3895914, 3895950, 3896902, 3898226, 3898290, 3899456, 3899989, 3900218, 3900831, 3901545, 3902137, 3904157, 3907243, 3908644, 3913538, 3913980, 3915275, 3916813, 3917277, 3918722, 3919002, 3919472, 3919513, 3920557, 3922536, 3922627, 3925041, 3925197, 3932620, 3933767, 3934900, 3936037, 3937691, 3944634, 3945269, 3945364, 3945878, 3946196, 3946636, 3947376, 3948763, 3949237, 3950522, 3951187, 3952725, 3955638, 3956887, 3957122, 3958308, 3959552, 3962858, 3962988, 3964368, 3965314, 3965416, 3966060, 3967435, 3968179, 3970742, 3970891, 3971693, 3971780, 3971943, 3972808, 3973280, 3974154, 3974859, 3975490, 3977654, 3981186, 3982509, 3983121, 3983248, 3983585, 3984534, 3986266, 3986956, 3988942, 3990283, 3991676, 3992163, 3992355, 3992510, 3993060, 3993799, 3996712, 3997953, 4003383, 4005137, 4005778, 4006568, 4008044, 4010109, 4010631, 4011383, 4012429, 4013152, 4016162, 4016236, 4018293, 4018485, 4019718, 4020140, 4021074, 4021520, 4021596, 4022407, 4023293, 4024144, 4026270, 4028759, 4028999, 4030143, 4030494, 4030518, 4031026, 4033724, 4034417, 4034729, 4035455, 4035572, 4035777, 4038401, 4038460, 4039680, 4040720, 4041522, 4041786, 4042007, 4042151, 4045531, 4045722, 4046069, 4046272, 4046719, 4047999, 4049650, 4050448, 4052632, 4052736, 4052949, 4053885, 4054194, 4054350, 4054883, 4057004, 4057016, 4057850, 4059976, 4062019, 4062343, 4064726, 4065340, 4065709, 4066255, 4066632, 4066722, 4066758, 4067410, 4068185, 4072528, 4072839, 4073577, 4073791, 4074664, 4076668, 4076850, 4077755, 4079267, 4079377, 4079586, 4081063, 4082475, 4084668, 4088059, 4089115, 4091790, 4094119, 4095542, 4095602, 4098240, 4099579, 4100055, 4100822, 4100836, 4103337, 4104497, 4104972, 4104991, 4105926, 4106119, 4109844, 4109914, 4114041, 4121390, 4122933, 4123491, 4123911, 4124244, 4124308, 4126931, 4127575, 4128874, 4130859, 4131403, 4131509, 4132799, 4133084, 4134333, 4134669, 4137250, 4137534, 4138984, 4139332, 4144146, 4144633, 4145952, 4150550, 4152380, 4152688, 4154446, 4154487, 4156618, 4156830, 4157427, 4157826, 4160809, 4160856, 4160872, 4160973, 4162788, 4163520, 4166792, 4169258, 4169439, 4170749, 4174306, 4174415, 4175097, 4175228, 4175347, 4175810, 4176761, 4177692, 4178010, 4178224, 4180768, 4181476, 4184440, 4184968, 4185914, 4187241, 4187326, 4188745, 4190808, 4194601, 4197682, 4197983, 4199446, 4199782, 4200308, 4201570, 4202397, 4203011, 4203646, 4204407, 4204766, 4204792, 4205487, 4206552, 4207613, 4208221, 4208823, 4210304, 4212850, 4215374, 4215490, 4216567, 4216993, 4217547, 4218156, 4220107, 4220574, 4221759, 4222890, 4223109, 4223629, 4224929, 4224962, 4226736, 4228564, 4229354, 4230452, 4231142, 4232003, 4232392, 4232858, 4233119, 4233563, 4235787, 4236258, 4238613, 4239231, 4239919, 4241091, 4241105, 4241415, 4242241, 4244098, 4244325, 4245393, 4245795, 4246907, 4247291, 4247421, 4248380, 4248589, 4249778, 4250297, 4251143, 4255006, 4255882, 4256419, 4257055, 4257090, 4257979, 4258082, 4260267, 4260529, 4262952, 4264662, 4265142, 4265796, 4266500, 4267019, 4267302, 4267959, 4268345, 4268633, 4271454, 4271993, 4272678, 4273850, 4275459, 4277334, 4277958, 4278607, 4280239, 4280685, 4281545, 4284744, 4284943, 4287544, 4287572, 4287840, 4288258, 4289092, 4291092, 4291285, 4297016, 4298318, 4298366, 4303622, 4304896, 4307557, 4308124, 4310811, 4312375, 4313290, 4314264, 4315651, 4316334, 4316815, 4317450, 4317601, 4319097, 4320657, 4321317, 4321637, 4322899, 4324889, 4326384, 4327040, 4327066, 4328562, 4328610, 4329064, 4330737, 4331513, 4331990, 4335063, 4335654, 4336013, 4336724, 4337983, 4338725, 4338977, 4343848, 4343854, 4345101, 4345220, 4345336, 4345490, 4347998, 4348206, 4348367, 4348599, 4349732, 4350502, 4351890, 4352907, 4354250, 4355647, 4355798, 4357973, 4358043, 4360559, 4362438, 4364980, 4366050, 4367701, 4372562, 4372965, 4373990, 4374074, 4376357, 4376398, 4376477, 4379665, 4380812, 4381369, 4382628, 4383733, 4384986, 4385327, 4385541, 4386153, 4386508, 4388551, 4389016, 4389253, 4390608, 4391928, 4392763, 4394875, 4395861, 4395953, 4396440, 4398459, 4399006, 4399113, 4400132, 4400301, 4400830, 4404674, 4404995, 4405170, 4406330, 4406745, 4407960, 4408074, 4408611, 4411066, 4411561, 4413015, 4415195, 4415930, 4416995, 4419572, 4420810, 4421635, 4422187, 4423305, 4423728, 4426189, 4426361, 4426474, 4429127, 4430462, 4432342, 4435926, 4436759, 4437655, 4443101, 4443124, 4447148, 4447216, 4453284, 4453354, 4454842, 4455613, 4456276, 4457945, 4458415, 4458769, 4461463, 4461762, 4462947, 4463094, 4464915, 4466314, 4467730, 4468024, 4468725, 4468776, 4468826, 4470635, 4471613, 4471950, 4472500, 4475615, 4476311, 4479314, 4479724, 4480496, 4480965, 4481579, 4482651, 4483164, 4483527, 4484475, 4485253, 4486868, 4487968, 4489276, 4489744, 4490054, 4490622, 4491559, 4493074, 4495237, 4495777, 4496410, 4496924, 4497933, 4498749, 4501468, 4501636, 4501726, 4501891, 4502684, 4503514, 4504345, 4505833, 4506071, 4507568, 4507728, 4507836, 4508266, 4509386, 4510735, 4511661, 4513302, 4514361, 4514519, 4515428, 4515522, 4517564, 4518637, 4521132, 4521444, 4521627, 4522224, 4522880, 4524283, 4525289, 4526678, 4526807, 4527698, 4528471, 4528521, 4528776, 4529117, 4529156, 4530214, 4531487, 4532091, 4532745, 4534081, 4534347, 4539014, 4539215, 4542136, 4543789, 4544342, 4545552, 4548657, 4549462, 4549813, 4549979, 4550246, 4553883, 4554885, 4556214, 4556679, 4559968, 4559985, 4560228, 4560373, 4560603, 4560611, 4561245, 4562411, 4564094, 4564792, 4565837, 4565864, 4567275, 4568666, 4569080, 4569824, 4570064, 4572129, 4572565, 4573733, 4575431, 4576654, 4576661, 4577273, 4577987, 4578854, 4579239, 4579886, 4582836, 4586549, 4588995, 4589295, 4593004, 4594439, 4596450, 4598781, 4606074, 4610489, 4610730, 4611483, 4613751, 4616408, 4616577, 4616735, 4618139, 4618368, 4619456, 4619806, 4623661, 4625919, 4627170, 4627495, 4627735, 4629719, 4629939, 4630893, 4631807, 4632432, 4633863, 4634438, 4636435, 4636640, 4637075, 4637351, 4638657, 4638827, 4639104, 4641424, 4642056, 4642323, 4644899, 4646252, 4647829, 4648473, 4650051, 4651014, 4651604, 4652129, 4652388, 4652549, 4653507, 4660438, 4661167, 4661361, 4662089, 4662756, 4663029, 4664824, 4668778, 4670412, 4671339, 4671486, 4674298, 4674569, 4674894, 4676898, 4676987, 4677211, 4678223, 4678401, 4680905, 4686033, 4686831, 4687115, 4687430, 4687986, 4689648, 4691683, 4692475, 4693150, 4693302, 4694189, 4694743, 4695079, 4695319, 4695989, 4696777, 4699025, 4699099, 4699485, 4700425, 4702722, 4703161, 4703319, 4704775, 4704905, 4707474, 4708996, 4711338, 4712188, 4713987, 4714717, 4717381, 4719487, 4723258, 4724049, 4724751, 4725926, 4727793, 4729151, 4730258, 4730635, 4733127, 4733278, 4734741, 4735483, 4735637, 4737638, 4737660, 4738190, 4738720, 4739416, 4739738, 4740064, 4740955, 4741777, 4742379, 4742878, 4743259, 4743695, 4744636, 4745318, 4746774, 4748498, 4748876, 4749685, 4750144, 4752585, 4755966, 4758164, 4758441, 4758789, 4760892, 4761372, 4761380, 4762022, 4762701, 4762832, 4763098, 4764439, 4766353, 4766431, 4766495, 4767997, 4768464, 4768819, 4769627, 4769978, 4771159, 4771244, 4772499, 4775445, 4777504, 4777691, 4777710, 4777811, 4779414, 4780755, 4782227, 4782956, 4782963, 4783984, 4784096, 4785976, 4789093, 4789644, 4790701, 4792008, 4793495, 4794821, 4795156, 4797986, 4798926, 4799797, 4799916, 4800430, 4800931, 4804043, 4804597, 4806771, 4806816, 4807562, 4808378, 4809131, 4810009, 4810211, 4810368, 4812247, 4812816, 4813293, 4814922, 4816500, 4819675, 4820053, 4823712, 4824044, 4824056, 4824323, 4827393, 4831461, 4832787, 4834281, 4834855, 4837673, 4837913, 4840097, 4840626, 4841912, 4844273, 4844643, 4846205, 4846575, 4847219, 4847645, 4848955, 4850506, 4850735, 4857787, 4858273, 4859293, 4859755, 4859828, 4862491, 4863420, 4865059, 4868814, 4869719, 4869724, 4871360, 4872423, 4872778, 4873578, 4874728, 4875377, 4875838, 4875860, 4876543, 4876940, 4878046, 4878379, 4878427, 4878471, 4879532, 4880987, 4881608, 4882998, 4883903, 4884123, 4884579, 4889119, 4890375, 4891723, 4891871, 4893230, 4894518, 4894986, 4895585, 4895744, 4896234, 4897113, 4898667, 4902055, 4902429, 4902512, 4906492, 4906889, 4907841, 4908151, 4909651, 4912379, 4913749, 4917085, 4917542, 4919065, 4920459, 4922524, 4925580, 4929162, 4933408, 4935259, 4935342, 4935721, 4937321, 4937817, 4939970, 4940031, 4942416, 4946090, 4948654, 4950383, 4951569, 4951581, 4951877, 4952349, 4952622, 4952835, 4953946, 4955211, 4955700, 4955781, 4956263, 4956272, 4958019, 4959820, 4962654, 4963417, 4963795, 4965396, 4965803, 4966099, 4969124, 4971044, 4971289, 4971819, 4972172, 4974057, 4975096, 4975282, 4977386, 4978483, 4979973, 4981468, 4982043, 4982204, 4982324, 4982806, 4983676, 4983699, 4984124, 4986583, 4988348, 4990290, 4990824, 4992993, 4993032, 4996640, 4997842, 4999429, 4999486, 4999996, 5004103, 5005729, 5009025, 5009260, 5012478, 5012706, 5013756, 5014432, 5014993, 5015342, 5015673, 5015879, 5016481, 5016909, 5017441, 5017645, 5018176, 5019916, 5020145, 5020688, 5023708, 5023786, 5025114, 5026669, 5028034, 5028624, 5028728, 5029264, 5029345, 5029723, 5033900, 5034485, 5034518, 5035276, 5035874, 5036443, 5036573, 5036774, 5037821, 5038168, 5038331, 5038940, 5040195, 5040213, 5041083, 5041986, 5042148, 5043312, 5043648, 5043722, 5045100, 5047067, 5048065, 5049642, 5050267, 5052100, 5052214, 5053219, 5054109, 5054695, 5055481, 5056324, 5057388, 5059157, 5060260, 5060382, 5060734, 5060950, 5061157, 5062524, 5063177, 5064051, 5067846, 5069114, 5074267, 5077154, 5077393, 5078398, 5079526, 5082690, 5085406, 5086937, 5087716, 5092201, 5092863, 5093740, 5096551, 5097580, 5097840, 5100455, 5101214, 5102724, 5103057, 5104959, 5105238, 5105468, 5106026, 5106149, 5107446, 5107460, 5107487, 5109714, 5112353, 5113336, 5117574, 5119407, 5120488, 5121081, 5121395, 5123613, 5124259, 5124614, 5127114, 5128556, 5128777, 5129090, 5129276, 5129371, 5129874, 5130856, 5131198, 5131772, 5131988, 5132895, 5135152, 5135730, 5136262, 5142645, 5145443, 5146244, 5149027, 5151820, 5153301, 5155799, 5156844, 5157383, 5159313, 5160270, 5161381, 5162521, 5162842, 5163945, 5164196, 5165042, 5165318, 5166508, 5166887, 5170112, 5170185, 5171466, 5171826, 5179838, 5181171, 5184383, 5184980, 5185569, 5186840, 5187854, 5189061, 5190195, 5191252, 5193153, 5195993, 5196770, 5199520, 5200974, 5201623, 5201972, 5203008, 5203279, 5203910, 5204139, 5204203, 5204699, 5205404, 5205775, 5206269, 5206855, 5208430, 5209077, 5211489, 5212427, 5214025, 5215687, 5215858, 5216028, 5216451, 5217718, 5218690, 5221675, 5222935, 5223861, 5224841, 5226432, 5227044, 5227290, 5228378, 5229038, 5229258, 5230097, 5232556, 5233988, 5234023, 5236284, 5238249, 5239278, 5239385, 5241169, 5242515, 5242579, 5243098, 5244200, 5244783, 5244994, 5245767, 5247071, 5249428, 5249989, 5253023, 5253476, 5256331, 5257670, 5258842, 5259798, 5263221, 5263926, 5266293, 5268756, 5269146, 5269243, 5269706, 5272285, 5274126, 5274850, 5275522, 5281835, 5283211, 5283394, 5284976, 5285620, 5287869, 5288325, 5288886, 5290267, 5291465, 5292295, 5292356, 5294782, 5295944, 5297038, 5297222, 5300448, 5301864, 5301969, 5302139, 5302341, 5304678, 5305725, 5306246, 5307862, 5308874, 5309119, 5309563, 5315916, 5316228, 5317999, 5318912, 5322071, 5322355, 5322721, 5323186, 5323710, 5323878, 5325176, 5326925, 5329083, 5331790, 5332088, 5332282, 5333781, 5334251, 5335136, 5336851, 5337055, 5338271, 5340955, 5342213, 5342725, 5344947, 5345429, 5345964, 5346824, 5350820, 5350888, 5351458, 5351980, 5354234, 5356549, 5357574, 5357692, 5357894, 5359461, 5359901, 5359919, 5360948, 5362244, 5364038, 5371112, 5373518, 5377635, 5379299, 5382685, 5386753, 5387824, 5390022, 5391799, 5392759, 5392932, 5393601, 5393951, 5394286, 5394391, 5395277, 5395997, 5396630, 5397592, 5399385, 5399893, 5400459, 5403596, 5405649, 5408554, 5409337, 5409418, 5409533, 5412946, 5415685, 5416360, 5419763, 5424028, 5424226, 5425036, 5426427, 5426912, 5428441, 5429499, 5431590, 5438072, 5439428, 5439903, 5440404, 5440634, 5441680, 5442322, 5444041, 5446218, 5446808, 5447872, 5448435, 5451118, 5452673, 5452716, 5454057, 5454239, 5455472, 5456300, 5456455, 5456517, 5456785, 5456983, 5457074, 5457314, 5458792, 5458857, 5459527, 5460195, 5463965, 5464535, 5464932, 5465454, 5466223, 5471618, 5474276, 5474327, 5476634, 5476883, 5476971, 5477193, 5479018, 5479695, 5479770, 5481066, 5482394, 5484515, 5484543, 5486726, 5487111, 5487612, 5488042, 5488149, 5489047, 5489220, 5490750, 5491467, 5493475, 5494083, 5495232, 5495447, 5495594, 5496607, 5497317, 5498256, 5499103, 5500641, 5504585, 5508001, 5511231, 5512551, 5515370, 5515636, 5517532, 5518009, 5518745, 5520890, 5525372, 5526446, 5526981, 5527121, 5527198, 5529825, 5533809, 5537274, 5537748, 5538345, 5539915, 5540679, 5542420, 5542547, 5543216, 5547167, 5548116, 5549322, 5549381, 5551961, 5553326, 5554539, 5555089, 5555728, 5561134, 5561413, 5562646, 5566060, 5566195, 5567750, 5568316, 5568914, 5568962, 5571318, 5576483, 5576542, 5577118, 5577127, 5577982, 5578843, 5579131, 5579364, 5579834, 5580678, 5582544, 5584231, 5584317, 5585294, 5586103, 5587645, 5588463, 5592802, 5593889, 5594538, 5594779, 5595409, 5596175, 5598924, 5599412, 5599767, 5603745, 5606510, 5608944, 5609045, 5610254, 5612230, 5613131, 5617596, 5617738, 5618740, 5620205, 5620376, 5621176, 5621545, 5622539, 5623590, 5623919, 5623924, 5626235, 5627062, 5627397, 5627976, 5628195, 5629172, 5629268, 5629981, 5630006, 5639884, 5640394, 5641854, 5641918, 5642461, 5647471, 5647985, 5648556, 5649034, 5652497, 5653588, 5654282, 5655300, 5656169, 5660738, 5661748, 5663996, 5664262, 5665005, 5667061, 5667246, 5668640, 5669547, 5674083, 5674382, 5674412, 5675011, 5675261, 5676420, 5676586, 5677952, 5679847, 5680268, 5680576, 5681779, 5683954, 5685537, 5687154, 5689085, 5692689, 5694968, 5696089, 5697039, 5698330, 5698676, 5698965, 5698982, 5699161, 5699249, 5700933, 5702938, 5705103, 5705142, 5705167, 5705422, 5705623, 5709414, 5709869, 5710906, 5710977, 5713242, 5715077, 5716945, 5718167, 5718307, 5718909, 5721229, 5721792, 5721975, 5722314, 5722588, 5723445, 5727452, 5728676, 5729806, 5729990, 5731714, 5731978, 5732061, 5733919, 5736642, 5738200, 5738337, 5738761, 5738959, 5739452, 5739879, 5739896, 5740032, 5741495, 5742587, 5742963, 5743106, 5743724, 5744934, 5745467, 5745768, 5747496, 5748945, 5749019, 5752119, 5753920, 5755599, 5756033, 5756167, 5757518, 5758360, 5758773, 5760462, 5763186, 5764524, 5765110, 5766805, 5767421, 5770041, 5770499, 5771532, 5772933, 5773002, 5773558, 5774347, 5776333, 5777016, 5778149, 5778709, 5779138, 5783092, 5784054, 5785384, 5785979, 5786394, 5787181, 5788984, 5789142, 5790487, 5792624, 5792951, 5793706, 5793925, 5794035, 5796994, 5797639, 5798584, 5801961, 5803117, 5803554, 5805078, 5805210, 5805735, 5810483, 5811223, 5811507, 5811936, 5812171, 5813107, 5813352, 5814177, 5814918, 5815672, 5818055, 5818660, 5819489, 5820642, 5820971, 5821337, 5823121, 5824181, 5824250, 5825212, 5826189, 5826205, 5827196, 5827357, 5828692, 5828877, 5829184, 5829330, 5829496, 5829965, 5830090, 5831063, 5831377, 5831921, 5834552, 5837000, 5838391, 5839137, 5840206, 5840487, 5840815, 5840843, 5841458, 5845280, 5847750, 5848304, 5850101, 5852308, 5853016, 5854628, 5854855, 5856791, 5857608, 5858234, 5859110, 5860383, 5862566, 5863158, 5863857, 5864225, 5864276, 5865464, 5865676, 5866022, 5866256, 5866520, 5867954, 5868147, 5868570, 5868994, 5870725, 5871929, 5872020, 5872183, 5874160, 5874434, 5875739, 5875960, 5875987, 5877780, 5879482, 5880562, 5882122, 5882919, 5883032, 5883061, 5885546, 5887200, 5887533, 5889225, 5890032, 5890083, 5890137, 5892354, 5894500, 5895866, 5896718, 5898156, 5898770, 5901379, 5904286, 5904651, 5904792, 5905156, 5905303, 5907304, 5907430, 5907817, 5908841, 5911845, 5912033, 5912271, 5913130, 5913308, 5914934, 5915008, 5915698, 5916085, 5917531, 5921827, 5923230, 5924527, 5924828, 5925055, 5925652, 5926312, 5927499, 5927960, 5928097, 5935502, 5936052, 5936162, 5936680, 5939425, 5941211, 5941402, 5944935, 5945015, 5946712, 5950867, 5951844, 5952640, 5953648, 5955122, 5956206, 5956695, 5957473, 5957881, 5961123, 5962602, 5963398, 5963571, 5965862, 5965972, 5967001, 5969744, 5971006, 5971068, 5971857, 5973963, 5975102, 5976869, 5977958, 5979569, 5980458, 5986291, 5987215, 5992166, 5993435, 5996083, 5996613, 5998104, 5998473, 6001177, 6004144, 6005167, 6006204, 6007222, 6012079, 6012176, 6013063, 6014840, 6014910, 6016311, 6017067, 6017089, 6021425, 6021753] \ No newline at end of file diff --git a/data/age_sex/Cataracts_1/test/metab_text.json b/data/age_sex/Cataracts_1/test/metab_text.json new file mode 100644 index 0000000000000000000000000000000000000000..fcc5b95bb27112d87f73b684d98087fa7c0622fb --- /dev/null +++ b/data/age_sex/Cataracts_1/test/metab_text.json @@ -0,0 +1 @@ +["A sample with 159 features representing metab data with mean values: 1.739993604708805, std values: 5.3797455236417315, min values: 2.2739e-06, max values: 44.887, median values: 0.28758, and quantile values: 0.25 0.076498\n0.50 0.287580\n0.75 1.210300\nName: 0, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4944341532962264, std values: 4.6101341776716245, min values: 3.3139e-06, max values: 38.819, median values: 0.2492, and quantile values: 0.25 0.076294\n0.50 0.249200\n0.75 0.994510\nName: 1, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4397666573209436, std values: 4.720174329439707, min values: 4.5013e-07, max values: 38.573, median values: 0.21689, and quantile values: 0.25 0.055768\n0.50 0.216890\n0.75 0.879320\nName: 2, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4917851734213836, std values: 4.6953641348163755, min values: 2.557e-06, max values: 39.319, median values: 0.2337, and quantile values: 0.25 0.070623\n0.50 0.233700\n0.75 0.969035\nName: 3, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4726162502302518, std values: 4.889157885328529, min values: 9.8491e-07, max values: 39.966, median values: 0.21938, and quantile values: 0.25 0.068206\n0.50 0.219380\n0.75 0.857175\nName: 4, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4990164534720756, std values: 4.847459710849218, min values: 4.7066e-07, max values: 38.924, median values: 0.24549, and quantile values: 0.25 0.066441\n0.50 0.245490\n0.75 0.913380\nName: 5, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4782802560449058, std values: 4.904586649674636, min values: 3.7134e-07, max values: 39.939, median values: 0.19988, and quantile values: 0.25 0.057033\n0.50 0.199880\n0.75 0.944035\nName: 6, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6252901094232703, std values: 5.264595466900322, min values: 1.0217e-06, max values: 45.591, median values: 0.26311, and quantile values: 0.25 0.064285\n0.50 0.263110\n0.75 1.003215\nName: 7, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5307330090779874, std values: 5.094942072058661, min values: 1.161e-06, max values: 42.937, median values: 0.23707, and quantile values: 0.25 0.064769\n0.50 0.237070\n0.75 0.939055\nName: 8, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.731005754510824, std values: 5.13478973343344, min values: 2.5921e-08, max values: 41.992, median values: 0.29142, and quantile values: 0.25 0.063345\n0.50 0.291420\n0.75 1.237350\nName: 9, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4476986864037737, std values: 4.774892779812059, min values: 1.634e-06, max values: 38.908, median values: 0.20322, and quantile values: 0.25 0.066359\n0.50 0.203220\n0.75 0.887430\nName: 10, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5432534552828931, std values: 5.154489380208629, min values: 6.3628e-07, max values: 44.247, median values: 0.23349, and quantile values: 0.25 0.061985\n0.50 0.233490\n0.75 0.976935\nName: 11, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6605546494433963, std values: 5.13709733657309, min values: 3.1105e-06, max values: 41.504, median values: 0.26356, and quantile values: 0.25 0.078069\n0.50 0.263560\n0.75 1.100450\nName: 12, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.44587043243161, std values: 5.1691878256456265, min values: 3.3176e-08, max values: 46.639, median values: 0.18523, and quantile values: 0.25 0.045005\n0.50 0.185230\n0.75 0.780645\nName: 13, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.720749165392453, std values: 5.309508614622037, min values: 3.5157e-06, max values: 43.463, median values: 0.28032, and quantile values: 0.25 0.082067\n0.50 0.280320\n0.75 1.110700\nName: 14, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2465402076544654, std values: 4.6266976358460905, min values: 7.3326e-07, max values: 38.663, median values: 0.14612, and quantile values: 0.25 0.049041\n0.50 0.146120\n0.75 0.661230\nName: 15, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.536242326701887, std values: 5.185468147150906, min values: 4.5917e-06, max values: 42.293, median values: 0.25138, and quantile values: 0.25 0.075269\n0.50 0.251380\n0.75 0.878860\nName: 16, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.532662841349214, std values: 4.776609923995825, min values: 8.0625e-08, max values: 37.404, median values: 0.23439, and quantile values: 0.25 0.062941\n0.50 0.234390\n0.75 1.001490\nName: 17, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5696807797081762, std values: 5.125132456941161, min values: 2.572e-06, max values: 41.583, median values: 0.27447, and quantile values: 0.25 0.065780\n0.50 0.274470\n0.75 0.976315\nName: 18, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4571195475691825, std values: 4.99859587982184, min values: 2.9867e-06, max values: 40.327, median values: 0.20414, and quantile values: 0.25 0.073122\n0.50 0.204140\n0.75 0.835420\nName: 19, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.508379053836478, std values: 4.8682333503838136, min values: 1.2889e-06, max values: 38.404, median values: 0.25447, and quantile values: 0.25 0.068045\n0.50 0.254470\n0.75 0.931350\nName: 20, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3457356810035848, std values: 4.850581640845078, min values: 6.0247e-07, max values: 39.503, median values: 0.17792, and quantile values: 0.25 0.051536\n0.50 0.177920\n0.75 0.720585\nName: 21, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7953178071213836, std values: 5.116335193053376, min values: 3.4285e-06, max values: 39.845, median values: 0.32877, and quantile values: 0.25 0.083868\n0.50 0.328770\n0.75 1.271650\nName: 22, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3574995357955726, std values: 4.659363298928658, min values: 1.9266e-08, max values: 37.196, median values: 0.17493, and quantile values: 0.25 0.047648\n0.50 0.174930\n0.75 0.771590\nName: 23, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4904606627044024, std values: 4.740849828425023, min values: 1.5147e-06, max values: 38.98, median values: 0.26025, and quantile values: 0.25 0.069657\n0.50 0.260250\n0.75 0.944025\nName: 24, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3957603407018868, std values: 5.042637195809515, min values: 1.6694e-06, max values: 41.963, median values: 0.19963, and quantile values: 0.25 0.05832\n0.50 0.19963\n0.75 0.75924\nName: 25, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5026023690723274, std values: 4.840778469541396, min values: 1.8252e-06, max values: 38.805, median values: 0.24773, and quantile values: 0.25 0.079257\n0.50 0.247730\n0.75 0.945185\nName: 26, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2088653895430819, std values: 4.5230029964665945, min values: 2.2235e-07, max values: 37.603, median values: 0.15213, and quantile values: 0.25 0.043264\n0.50 0.152130\n0.75 0.656050\nName: 27, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5895374259125785, std values: 4.9785279153046496, min values: 2.5655e-06, max values: 40.13, median values: 0.26682, and quantile values: 0.25 0.078354\n0.50 0.266820\n0.75 0.986710\nName: 28, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.587177679393522, std values: 4.920568035064282, min values: 1.5657e-07, max values: 39.151, median values: 0.26198, and quantile values: 0.25 0.065659\n0.50 0.261980\n0.75 1.090300\nName: 29, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2978197319801887, std values: 4.601643073323879, min values: 1.8945e-07, max values: 37.441, median values: 0.18571, and quantile values: 0.25 0.056890\n0.50 0.185710\n0.75 0.768375\nName: 30, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3524478101138364, std values: 4.833027140882308, min values: 1.2992e-06, max values: 39.287, median values: 0.18891, and quantile values: 0.25 0.065173\n0.50 0.188910\n0.75 0.725390\nName: 31, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4675892532528303, std values: 4.692695523750136, min values: 2.0335e-06, max values: 38.425, median values: 0.24955, and quantile values: 0.25 0.073896\n0.50 0.249550\n0.75 0.916735\nName: 32, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.622983230397484, std values: 4.901379719929981, min values: 2.3572e-06, max values: 38.927, median values: 0.26189, and quantile values: 0.25 0.078882\n0.50 0.261890\n0.75 1.094400\nName: 33, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5328916735974842, std values: 4.889192944454125, min values: 3.949e-06, max values: 40.453, median values: 0.26911, and quantile values: 0.25 0.069663\n0.50 0.269110\n0.75 0.906040\nName: 34, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4280315752490564, std values: 4.878307045340445, min values: 1.0792e-06, max values: 39.04, median values: 0.19195, and quantile values: 0.25 0.055861\n0.50 0.191950\n0.75 0.782585\nName: 35, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.562819088163522, std values: 4.83975438065707, min values: 1.278e-06, max values: 37.738, median values: 0.22359, and quantile values: 0.25 0.066846\n0.50 0.223590\n0.75 1.000950\nName: 36, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1637229255391195, std values: 4.41704397830593, min values: 3.8841e-07, max values: 36.397, median values: 0.12431, and quantile values: 0.25 0.030559\n0.50 0.124310\n0.75 0.508500\nName: 37, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.415471348994843, std values: 4.807538116983837, min values: 7.1048e-07, max values: 38.303, median values: 0.22655, and quantile values: 0.25 0.053195\n0.50 0.226550\n0.75 0.833755\nName: 38, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7956776895471698, std values: 5.421103698835051, min values: 3.4702e-06, max values: 45.129, median values: 0.33452, and quantile values: 0.25 0.094835\n0.50 0.334520\n0.75 1.204850\nName: 39, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5574574783973585, std values: 5.004252468540349, min values: 7.5788e-07, max values: 40.406, median values: 0.23819, and quantile values: 0.25 0.060620\n0.50 0.238190\n0.75 0.974835\nName: 40, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.675600120737736, std values: 5.018840835949593, min values: 4.4055e-06, max values: 40.2, median values: 0.27152, and quantile values: 0.25 0.081835\n0.50 0.271520\n0.75 1.083150\nName: 41, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4661690163050944, std values: 4.911133639737999, min values: 7.1711e-07, max values: 39.474, median values: 0.21254, and quantile values: 0.25 0.055026\n0.50 0.212540\n0.75 0.885515\nName: 42, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4442356219972958, std values: 4.806854313597944, min values: 6.9657e-07, max values: 38.941, median values: 0.23251, and quantile values: 0.25 0.061407\n0.50 0.232510\n0.75 0.920835\nName: 43, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9416870110100628, std values: 5.529677817374386, min values: 5.1896e-06, max values: 44.816, median values: 0.33473, and quantile values: 0.25 0.08912\n0.50 0.33473\n0.75 1.29225\nName: 44, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4980628672205032, std values: 5.122628646960261, min values: 5.8686e-07, max values: 44.1, median values: 0.21264, and quantile values: 0.25 0.062576\n0.50 0.212640\n0.75 0.900490\nName: 45, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5027959130320754, std values: 4.751254401013564, min values: 3.7273e-06, max values: 39.91, median values: 0.22803, and quantile values: 0.25 0.068743\n0.50 0.228030\n0.75 0.915045\nName: 46, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3411714695685535, std values: 4.915724279527913, min values: 2.275e-06, max values: 40.549, median values: 0.18933, and quantile values: 0.25 0.054407\n0.50 0.189330\n0.75 0.709750\nName: 47, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4864386255547168, std values: 4.9294327480752544, min values: 1.6132e-06, max values: 40.129, median values: 0.22074, and quantile values: 0.25 0.060314\n0.50 0.220740\n0.75 0.963270\nName: 48, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5048451457574843, std values: 4.660271065598867, min values: 9.8574e-07, max values: 37.631, median values: 0.25745, and quantile values: 0.25 0.070753\n0.50 0.257450\n0.75 1.009110\nName: 49, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2401884884765786, std values: 4.657710620308601, min values: 2.9676e-08, max values: 37.899, median values: 0.16328, and quantile values: 0.25 0.044459\n0.50 0.163280\n0.75 0.679050\nName: 50, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3596595864786163, std values: 4.886748970925863, min values: 5.0344e-06, max values: 41.263, median values: 0.20545, and quantile values: 0.25 0.059403\n0.50 0.205450\n0.75 0.686850\nName: 51, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.438295074159673, std values: 5.009606438792656, min values: 3.6088e-08, max values: 42.034, median values: 0.20396, and quantile values: 0.25 0.048371\n0.50 0.203960\n0.75 0.852795\nName: 52, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.482797772251195, std values: 4.684663621630029, min values: 4.1384e-07, max values: 36.966, median values: 0.26682, and quantile values: 0.25 0.059047\n0.50 0.266820\n0.75 0.965205\nName: 53, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4278832120943399, std values: 4.8779822674972, min values: 1.3713e-06, max values: 39.154, median values: 0.18547, and quantile values: 0.25 0.05976\n0.50 0.18547\n0.75 0.82429\nName: 54, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4725564756056604, std values: 4.886938511344666, min values: 3.2887e-06, max values: 40.225, median values: 0.24151, and quantile values: 0.25 0.066244\n0.50 0.241510\n0.75 0.866625\nName: 55, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5061654562921383, std values: 4.81615277518239, min values: 7.4175e-07, max values: 38.919, median values: 0.23597, and quantile values: 0.25 0.062550\n0.50 0.235970\n0.75 0.922685\nName: 56, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.601789470358981, std values: 5.476943356401402, min values: 1.4278e-08, max values: 50.73, median values: 0.22574, and quantile values: 0.25 0.048393\n0.50 0.225740\n0.75 1.090650\nName: 57, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5309329614295597, std values: 5.081097629626112, min values: 3.62e-07, max values: 43.484, median values: 0.25845, and quantile values: 0.25 0.073853\n0.50 0.258450\n0.75 0.975945\nName: 58, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4287952220162767, std values: 5.093616174165514, min values: 1.6568e-08, max values: 44.899, median values: 0.19326, and quantile values: 0.25 0.051958\n0.50 0.193260\n0.75 0.880920\nName: 59, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5327120331944024, std values: 5.163446950499299, min values: 1.2621e-07, max values: 45.3, median values: 0.22444, and quantile values: 0.25 0.057555\n0.50 0.224440\n0.75 0.973320\nName: 60, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6197820113603771, std values: 5.149802701673297, min values: 3.2994e-06, max values: 41.157, median values: 0.25968, and quantile values: 0.25 0.078055\n0.50 0.259680\n0.75 0.968705\nName: 61, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5815237675792455, std values: 5.066468402777353, min values: 1.0072e-06, max values: 41.568, median values: 0.23016, and quantile values: 0.25 0.068405\n0.50 0.230160\n0.75 1.041050\nName: 62, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3587995357737737, std values: 4.900417848717761, min values: 3.1983e-07, max values: 41.073, median values: 0.1662, and quantile values: 0.25 0.046872\n0.50 0.166200\n0.75 0.731760\nName: 63, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4499451604578617, std values: 4.849950496520727, min values: 2.0668e-06, max values: 38.664, median values: 0.22925, and quantile values: 0.25 0.062967\n0.50 0.229250\n0.75 0.867715\nName: 64, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6502259868710694, std values: 5.15415361042615, min values: 6.8388e-06, max values: 41.658, median values: 0.25977, and quantile values: 0.25 0.072847\n0.50 0.259770\n0.75 0.922065\nName: 65, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.450379662064151, std values: 4.997158373567866, min values: 3.4981e-06, max values: 40.755, median values: 0.20595, and quantile values: 0.25 0.065110\n0.50 0.205950\n0.75 0.802155\nName: 66, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3757892950446542, std values: 5.038722831903077, min values: 1.3128e-06, max values: 42.228, median values: 0.1776, and quantile values: 0.25 0.053444\n0.50 0.177600\n0.75 0.743610\nName: 67, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4617821262286164, std values: 4.7550705298294185, min values: 6.9795e-07, max values: 38.051, median values: 0.22416, and quantile values: 0.25 0.060834\n0.50 0.224160\n0.75 0.915205\nName: 68, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5861294318161636, std values: 4.949654708355549, min values: 9.9227e-07, max values: 39.065, median values: 0.29954, and quantile values: 0.25 0.072908\n0.50 0.299540\n0.75 1.037550\nName: 69, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5365743996364778, std values: 5.0789274423849475, min values: 1.0522e-06, max values: 43.265, median values: 0.25354, and quantile values: 0.25 0.074922\n0.50 0.253540\n0.75 0.966100\nName: 70, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.349955147016981, std values: 4.839975229996378, min values: 1.1116e-06, max values: 39.46, median values: 0.18905, and quantile values: 0.25 0.05796\n0.50 0.18905\n0.75 0.74318\nName: 71, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3035241430292452, std values: 4.390105960096368, min values: 2.6172e-07, max values: 37.022, median values: 0.18608, and quantile values: 0.25 0.042770\n0.50 0.186080\n0.75 0.792975\nName: 72, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3796224955062895, std values: 4.835735347140724, min values: 1.6118e-06, max values: 39.064, median values: 0.2225, and quantile values: 0.25 0.065264\n0.50 0.222500\n0.75 0.843135\nName: 73, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.631036667481132, std values: 5.197987120503742, min values: 7.601e-07, max values: 43.742, median values: 0.26918, and quantile values: 0.25 0.065997\n0.50 0.269180\n0.75 1.095100\nName: 74, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3215984707811947, std values: 4.776749422314368, min values: 6.0171e-07, max values: 38.413, median values: 0.15916, and quantile values: 0.25 0.049605\n0.50 0.159160\n0.75 0.724330\nName: 75, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5853693884968554, std values: 4.9798519261470915, min values: 4.224e-06, max values: 39.453, median values: 0.25656, and quantile values: 0.25 0.065937\n0.50 0.256560\n0.75 0.989540\nName: 76, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.774569716866981, std values: 5.000421447562414, min values: 7.9335e-07, max values: 38.103, median values: 0.31856, and quantile values: 0.25 0.075023\n0.50 0.318560\n0.75 1.292600\nName: 77, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3189969185061634, std values: 4.656262228638707, min values: 7.0048e-07, max values: 38.242, median values: 0.20218, and quantile values: 0.25 0.062246\n0.50 0.202180\n0.75 0.687420\nName: 78, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3647726603855976, std values: 4.852310293021156, min values: 4.3361e-07, max values: 39.297, median values: 0.16627, and quantile values: 0.25 0.047203\n0.50 0.166270\n0.75 0.759950\nName: 79, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6435602081452827, std values: 5.2440594443142565, min values: 4.244e-06, max values: 42.195, median values: 0.26713, and quantile values: 0.25 0.075518\n0.50 0.267130\n0.75 0.966305\nName: 80, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.716461207544654, std values: 5.145752028491419, min values: 2.2709e-06, max values: 41.009, median values: 0.29556, and quantile values: 0.25 0.078591\n0.50 0.295560\n0.75 1.180350\nName: 81, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.383587220518239, std values: 4.78768827103288, min values: 1.8377e-06, max values: 39.357, median values: 0.20141, and quantile values: 0.25 0.059497\n0.50 0.201410\n0.75 0.825005\nName: 82, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5976865836243834, std values: 5.131854072099514, min values: 1.6177e-08, max values: 43.486, median values: 0.23721, and quantile values: 0.25 0.058711\n0.50 0.237210\n0.75 0.979125\nName: 83, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5047135177869813, std values: 5.074742140867277, min values: 2.0243e-07, max values: 44.002, median values: 0.21189, and quantile values: 0.25 0.054938\n0.50 0.211890\n0.75 0.988285\nName: 84, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3464196638360375, std values: 4.565020233853762, min values: 2.7993e-07, max values: 36.565, median values: 0.18777, and quantile values: 0.25 0.053081\n0.50 0.187770\n0.75 0.797050\nName: 85, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3030960043284907, std values: 4.8189083153000825, min values: 4.1153e-07, max values: 39.032, median values: 0.17421, and quantile values: 0.25 0.045733\n0.50 0.174210\n0.75 0.698440\nName: 86, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5768259524238994, std values: 5.088713286937696, min values: 3.1831e-06, max values: 40.584, median values: 0.2334, and quantile values: 0.25 0.068848\n0.50 0.233400\n0.75 0.978495\nName: 87, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4047039550437739, std values: 4.823136982465257, min values: 7.0286e-07, max values: 38.705, median values: 0.21243, and quantile values: 0.25 0.066172\n0.50 0.212430\n0.75 0.796080\nName: 88, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.766124953101258, std values: 5.156875082523428, min values: 3.7664e-06, max values: 40.205, median values: 0.32533, and quantile values: 0.25 0.082296\n0.50 0.325330\n0.75 1.216050\nName: 89, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4712163281616981, std values: 4.806275310793302, min values: 4.9591e-07, max values: 38.031, median values: 0.22746, and quantile values: 0.25 0.063706\n0.50 0.227460\n0.75 0.918590\nName: 90, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3777543377207548, std values: 4.795688222077343, min values: 1.0821e-06, max values: 38.932, median values: 0.17935, and quantile values: 0.25 0.055175\n0.50 0.179350\n0.75 0.752630\nName: 91, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2409026206154905, std values: 4.502232664367754, min values: 2.8461e-08, max values: 35.593, median values: 0.14505, and quantile values: 0.25 0.031033\n0.50 0.145050\n0.75 0.674835\nName: 92, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5868912533176103, std values: 4.912059379390302, min values: 2.8206e-06, max values: 39.267, median values: 0.26256, and quantile values: 0.25 0.07173\n0.50 0.26256\n0.75 1.07000\nName: 93, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.605237301890566, std values: 4.979487297724869, min values: 1.8106e-06, max values: 39.569, median values: 0.26333, and quantile values: 0.25 0.077477\n0.50 0.263330\n0.75 1.038600\nName: 94, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3639601020584906, std values: 4.719416572653615, min values: 6.94e-07, max values: 37.813, median values: 0.20253, and quantile values: 0.25 0.054604\n0.50 0.202530\n0.75 0.748165\nName: 95, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6002573312962265, std values: 5.065433985905181, min values: 1.5342e-06, max values: 41.222, median values: 0.23595, and quantile values: 0.25 0.072409\n0.50 0.235950\n0.75 0.941645\nName: 96, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.57060802093478, std values: 5.0591869940026335, min values: 3.8713e-07, max values: 42.383, median values: 0.25303, and quantile values: 0.25 0.064349\n0.50 0.253030\n0.75 1.028350\nName: 97, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6535661235194967, std values: 4.9092817409381135, min values: 1.0312e-06, max values: 38.158, median values: 0.26578, and quantile values: 0.25 0.067612\n0.50 0.265780\n0.75 1.160900\nName: 98, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5898755814925158, std values: 5.039812419675398, min values: 9.2701e-07, max values: 41.655, median values: 0.24769, and quantile values: 0.25 0.066002\n0.50 0.247690\n0.75 1.072400\nName: 99, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3882328617050312, std values: 5.067087475008104, min values: 1.54e-07, max values: 43.452, median values: 0.1677, and quantile values: 0.25 0.043534\n0.50 0.167700\n0.75 0.770435\nName: 100, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3838690153715094, std values: 4.841821100787054, min values: 7.5057e-07, max values: 39.403, median values: 0.21072, and quantile values: 0.25 0.049407\n0.50 0.210720\n0.75 0.733850\nName: 101, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.478662276463522, std values: 4.875424632963932, min values: 1.689e-06, max values: 39.836, median values: 0.21597, and quantile values: 0.25 0.067853\n0.50 0.215970\n0.75 0.883550\nName: 102, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3797238259654085, std values: 4.888343850550757, min values: 2.5854e-06, max values: 39.587, median values: 0.18648, and quantile values: 0.25 0.058703\n0.50 0.186480\n0.75 0.713905\nName: 103, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5944734552211948, std values: 5.012499467498869, min values: 3.9937e-07, max values: 40.664, median values: 0.22958, and quantile values: 0.25 0.070619\n0.50 0.229580\n0.75 1.028440\nName: 104, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3630926037145283, std values: 4.6523094116655725, min values: 2.4831e-07, max values: 37.869, median values: 0.18803, and quantile values: 0.25 0.049953\n0.50 0.188030\n0.75 0.773190\nName: 105, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4589231952745911, std values: 4.832763959985406, min values: 8.5276e-07, max values: 38.341, median values: 0.23517, and quantile values: 0.25 0.064892\n0.50 0.235170\n0.75 0.901595\nName: 106, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5547754977418868, std values: 4.9582898640876385, min values: 3.0586e-07, max values: 40.133, median values: 0.23682, and quantile values: 0.25 0.055671\n0.50 0.236820\n0.75 0.946700\nName: 107, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3606374480616352, std values: 4.735867595752259, min values: 2.1267e-06, max values: 38.92, median values: 0.20826, and quantile values: 0.25 0.055555\n0.50 0.208260\n0.75 0.870330\nName: 108, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.507176341990503, std values: 5.006841328409398, min values: 8.3739e-07, max values: 41.533, median values: 0.22496, and quantile values: 0.25 0.067558\n0.50 0.224960\n0.75 0.893170\nName: 109, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6665550165524528, std values: 4.921500315876353, min values: 5.7974e-07, max values: 38.626, median values: 0.28337, and quantile values: 0.25 0.066877\n0.50 0.283370\n0.75 1.157500\nName: 110, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5075490243603775, std values: 4.780977371691435, min values: 1.1354e-06, max values: 38.528, median values: 0.24951, and quantile values: 0.25 0.070675\n0.50 0.249510\n0.75 1.021450\nName: 111, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.480700861799371, std values: 4.9176739436841626, min values: 1.5833e-06, max values: 39.624, median values: 0.22235, and quantile values: 0.25 0.063256\n0.50 0.222350\n0.75 0.897930\nName: 112, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.497777122546604, std values: 4.783855416349428, min values: 9.4451e-07, max values: 37.652, median values: 0.2235, and quantile values: 0.25 0.062671\n0.50 0.223500\n0.75 0.975930\nName: 113, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2725912359640252, std values: 4.572987913575817, min values: 9.4198e-07, max values: 37.712, median values: 0.1578, and quantile values: 0.25 0.047457\n0.50 0.157800\n0.75 0.635970\nName: 114, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.565587624161635, std values: 5.025288969530331, min values: 1.2684e-06, max values: 40.827, median values: 0.23946, and quantile values: 0.25 0.065703\n0.50 0.239460\n0.75 0.959000\nName: 115, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3238026557618932, std values: 4.720160306464187, min values: 2.207e-08, max values: 39.24, median values: 0.15883, and quantile values: 0.25 0.035970\n0.50 0.158830\n0.75 0.655965\nName: 116, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5277883536704402, std values: 4.933738770847368, min values: 3.133e-06, max values: 39.634, median values: 0.25242, and quantile values: 0.25 0.075147\n0.50 0.252420\n0.75 0.948225\nName: 117, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.518395752237107, std values: 4.9233349234015655, min values: 1.9695e-06, max values: 39.1, median values: 0.22153, and quantile values: 0.25 0.077131\n0.50 0.221530\n0.75 0.960660\nName: 118, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2861301742660376, std values: 4.747689215431167, min values: 9.182e-07, max values: 38.171, median values: 0.1718, and quantile values: 0.25 0.051482\n0.50 0.171800\n0.75 0.688675\nName: 119, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5876329358125787, std values: 5.025817255420554, min values: 1.539e-06, max values: 40.891, median values: 0.25519, and quantile values: 0.25 0.071285\n0.50 0.255190\n0.75 1.027830\nName: 120, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4862163389182395, std values: 4.824795635742396, min values: 1.8725e-06, max values: 38.487, median values: 0.22961, and quantile values: 0.25 0.064996\n0.50 0.229610\n0.75 0.907410\nName: 121, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.432313835601258, std values: 4.95366461094094, min values: 2.0369e-06, max values: 39.957, median values: 0.22787, and quantile values: 0.25 0.061059\n0.50 0.227870\n0.75 0.807290\nName: 122, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.511665647366038, std values: 5.090733601187686, min values: 2.3741e-06, max values: 42.653, median values: 0.24037, and quantile values: 0.25 0.069403\n0.50 0.240370\n0.75 0.871665\nName: 123, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3771920354313205, std values: 4.811849959909591, min values: 8.7628e-07, max values: 38.415, median values: 0.19739, and quantile values: 0.25 0.055935\n0.50 0.197390\n0.75 0.818405\nName: 124, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.388643713937736, std values: 4.663303950796459, min values: 1.1599e-06, max values: 39.438, median values: 0.19741, and quantile values: 0.25 0.058671\n0.50 0.197410\n0.75 0.826415\nName: 125, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.335187992871698, std values: 4.633466698193941, min values: 4.658e-07, max values: 37.707, median values: 0.15914, and quantile values: 0.25 0.048426\n0.50 0.159140\n0.75 0.777420\nName: 126, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4099028775837925, std values: 4.689929133194982, min values: 1.8922e-08, max values: 38.18, median values: 0.18706, and quantile values: 0.25 0.040801\n0.50 0.187060\n0.75 0.805890\nName: 127, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4379467391476728, std values: 4.906572039409183, min values: 3.1278e-07, max values: 40.935, median values: 0.20241, and quantile values: 0.25 0.050959\n0.50 0.202410\n0.75 0.811815\nName: 128, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4760484132459122, std values: 4.934576779957491, min values: 1.7841e-06, max values: 40.02, median values: 0.23649, and quantile values: 0.25 0.061647\n0.50 0.236490\n0.75 0.921060\nName: 129, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6097723469830187, std values: 4.877882916709541, min values: 4.6752e-06, max values: 40.496, median values: 0.29052, and quantile values: 0.25 0.07590\n0.50 0.29052\n0.75 1.01920\nName: 130, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5165330732295597, std values: 4.754478092952132, min values: 3.0298e-06, max values: 40.02, median values: 0.24728, and quantile values: 0.25 0.073786\n0.50 0.247280\n0.75 0.895525\nName: 131, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6001769269393709, std values: 5.054059174121288, min values: 7.6626e-07, max values: 41.947, median values: 0.21515, and quantile values: 0.25 0.059102\n0.50 0.215150\n0.75 1.048350\nName: 132, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.79565520408239, std values: 5.235316615775827, min values: 7.4571e-06, max values: 41.141, median values: 0.30772, and quantile values: 0.25 0.083871\n0.50 0.307720\n0.75 1.123650\nName: 133, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5101100847091824, std values: 5.077468192001408, min values: 2.9426e-07, max values: 43.244, median values: 0.22096, and quantile values: 0.25 0.057457\n0.50 0.220960\n0.75 0.963715\nName: 134, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5821282050308176, std values: 4.985899331437459, min values: 1.9504e-06, max values: 39.648, median values: 0.24505, and quantile values: 0.25 0.065238\n0.50 0.245050\n0.75 1.025150\nName: 135, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.641160495816352, std values: 5.232640225895254, min values: 2.6262e-06, max values: 43.803, median values: 0.29128, and quantile values: 0.25 0.069224\n0.50 0.291280\n0.75 1.050550\nName: 136, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.545940797035849, std values: 4.971143032290269, min values: 2.0788e-06, max values: 39.392, median values: 0.22866, and quantile values: 0.25 0.067908\n0.50 0.228660\n0.75 0.977790\nName: 137, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6954062992584906, std values: 4.952110749797512, min values: 4.4256e-06, max values: 40.395, median values: 0.28521, and quantile values: 0.25 0.079957\n0.50 0.285210\n0.75 1.097150\nName: 138, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4253794068628933, std values: 5.042681845725894, min values: 1.838e-06, max values: 41.773, median values: 0.19347, and quantile values: 0.25 0.057707\n0.50 0.193470\n0.75 0.820160\nName: 139, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5485772829056603, std values: 5.027216618243136, min values: 1.403e-06, max values: 40.617, median values: 0.24489, and quantile values: 0.25 0.064154\n0.50 0.244890\n0.75 0.886180\nName: 140, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6055192039553459, std values: 5.097379444322518, min values: 4.2792e-06, max values: 40.335, median values: 0.26178, and quantile values: 0.25 0.081089\n0.50 0.261780\n0.75 0.941220\nName: 141, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3704658623094337, std values: 5.059724555674645, min values: 1.6208e-06, max values: 42.682, median values: 0.18108, and quantile values: 0.25 0.056232\n0.50 0.181080\n0.75 0.761505\nName: 142, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3005151099705787, std values: 4.766935160067527, min values: 1.9882e-08, max values: 39.401, median values: 0.19171, and quantile values: 0.25 0.041143\n0.50 0.191710\n0.75 0.702685\nName: 143, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4507054972857862, std values: 5.100263306895178, min values: 8.8174e-07, max values: 44.179, median values: 0.22248, and quantile values: 0.25 0.064183\n0.50 0.222480\n0.75 0.855405\nName: 144, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4160374667936477, std values: 4.9108716291966665, min values: 1.5589e-07, max values: 40.161, median values: 0.17733, and quantile values: 0.25 0.050248\n0.50 0.177330\n0.75 0.806410\nName: 145, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5292451429377356, std values: 4.95594576389271, min values: 4.2007e-06, max values: 41.083, median values: 0.25786, and quantile values: 0.25 0.069179\n0.50 0.257860\n0.75 0.871990\nName: 146, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.464612087107673, std values: 4.8155726286473595, min values: 9.0072e-07, max values: 38.088, median values: 0.19669, and quantile values: 0.25 0.057749\n0.50 0.196690\n0.75 0.860300\nName: 147, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4493379765836478, std values: 4.987918779430501, min values: 1.5892e-06, max values: 41.18, median values: 0.20903, and quantile values: 0.25 0.068675\n0.50 0.209030\n0.75 0.827575\nName: 148, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4949869322773583, std values: 4.9901006826941865, min values: 1.2163e-06, max values: 40.85, median values: 0.21222, and quantile values: 0.25 0.063399\n0.50 0.212220\n0.75 0.931350\nName: 149, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.685786012711069, std values: 5.235893398046099, min values: 4.2496e-07, max values: 45.283, median values: 0.2482, and quantile values: 0.25 0.062243\n0.50 0.248200\n0.75 1.021290\nName: 150, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4322429757962263, std values: 4.899936451227659, min values: 3.3066e-06, max values: 39.606, median values: 0.22056, and quantile values: 0.25 0.069991\n0.50 0.220560\n0.75 0.809690\nName: 151, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.636183954399371, std values: 5.186687058304783, min values: 3.2945e-06, max values: 41.723, median values: 0.25847, and quantile values: 0.25 0.073812\n0.50 0.258470\n0.75 1.043950\nName: 152, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5044938307204403, std values: 4.902092005316367, min values: 4.6915e-07, max values: 39.98, median values: 0.20812, and quantile values: 0.25 0.064825\n0.50 0.208120\n0.75 0.872555\nName: 153, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6424880213037738, std values: 5.227479717120013, min values: 2.8558e-06, max values: 42.583, median values: 0.25238, and quantile values: 0.25 0.073902\n0.50 0.252380\n0.75 1.004385\nName: 154, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7845675112716983, std values: 5.18850747007386, min values: 1.856e-06, max values: 41.733, median values: 0.28337, and quantile values: 0.25 0.088611\n0.50 0.283370\n0.75 1.223000\nName: 155, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5393430639666665, std values: 4.764126677610882, min values: 1.9072e-06, max values: 39.346, median values: 0.27285, and quantile values: 0.25 0.07308\n0.50 0.27285\n0.75 0.98241\nName: 156, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6176259317490567, std values: 4.906643234354152, min values: 1.4455e-06, max values: 38.544, median values: 0.25265, and quantile values: 0.25 0.073595\n0.50 0.252650\n0.75 1.145300\nName: 157, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5831946392371066, std values: 5.313477637891347, min values: 2.4432e-06, max values: 46.049, median values: 0.24614, and quantile values: 0.25 0.067854\n0.50 0.246140\n0.75 0.975790\nName: 158, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3801947693943395, std values: 4.94906007112839, min values: 1.538e-06, max values: 40.27, median values: 0.17773, and quantile values: 0.25 0.052088\n0.50 0.177730\n0.75 0.779300\nName: 159, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4251119375836476, std values: 4.931604777206769, min values: 1.5508e-06, max values: 40.156, median values: 0.20067, and quantile values: 0.25 0.059428\n0.50 0.200670\n0.75 0.828155\nName: 160, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6844778898333335, std values: 5.303148241316249, min values: 2.5724e-06, max values: 44.776, median values: 0.29028, and quantile values: 0.25 0.070991\n0.50 0.290280\n0.75 1.106950\nName: 161, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5561702515245281, std values: 4.768026853206239, min values: 1.6816e-06, max values: 38.531, median values: 0.26903, and quantile values: 0.25 0.077863\n0.50 0.269030\n0.75 1.035310\nName: 162, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2633701636976726, std values: 4.661013596619469, min values: 3.8473e-07, max values: 37.355, median values: 0.13326, and quantile values: 0.25 0.042829\n0.50 0.133260\n0.75 0.677160\nName: 163, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.644185419883019, std values: 5.19168527328055, min values: 3.583e-06, max values: 42.488, median values: 0.25736, and quantile values: 0.25 0.078286\n0.50 0.257360\n0.75 1.017550\nName: 164, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.635406374737736, std values: 4.792554866491062, min values: 1.6778e-06, max values: 38.396, median values: 0.2888, and quantile values: 0.25 0.084763\n0.50 0.288800\n0.75 1.094650\nName: 165, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3950629035352202, std values: 4.936081025094149, min values: 2.0908e-06, max values: 40.34, median values: 0.19746, and quantile values: 0.25 0.058406\n0.50 0.197460\n0.75 0.685940\nName: 166, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3304470771817611, std values: 4.486019836664622, min values: 1.0606e-06, max values: 38.308, median values: 0.2035, and quantile values: 0.25 0.062783\n0.50 0.203500\n0.75 0.797935\nName: 167, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3184892256949683, std values: 4.78235601612145, min values: 2.8773e-06, max values: 40.466, median values: 0.16541, and quantile values: 0.25 0.056948\n0.50 0.165410\n0.75 0.674030\nName: 168, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5775865145484278, std values: 4.818232555842118, min values: 3.8976e-06, max values: 39.784, median values: 0.22842, and quantile values: 0.25 0.072419\n0.50 0.228420\n0.75 1.038250\nName: 169, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4644769605726415, std values: 5.0029787832602395, min values: 2.4235e-07, max values: 42.25, median values: 0.18613, and quantile values: 0.25 0.050574\n0.50 0.186130\n0.75 0.826855\nName: 170, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5661347589389938, std values: 5.132835638339446, min values: 1.6051e-06, max values: 43.457, median values: 0.24326, and quantile values: 0.25 0.066353\n0.50 0.243260\n0.75 0.984205\nName: 171, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.74372250758239, std values: 5.179379728007186, min values: 6.259e-07, max values: 40.62, median values: 0.27672, and quantile values: 0.25 0.080694\n0.50 0.276720\n0.75 1.146100\nName: 172, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.422147046181761, std values: 4.963393628962448, min values: 3.7849e-06, max values: 40.135, median values: 0.21796, and quantile values: 0.25 0.062953\n0.50 0.217960\n0.75 0.730765\nName: 173, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4971644315808808, std values: 5.132056659912078, min values: 7.2056e-07, max values: 44.758, median values: 0.18981, and quantile values: 0.25 0.054196\n0.50 0.189810\n0.75 0.977720\nName: 174, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5763496021943397, std values: 5.042304550210604, min values: 7.0849e-06, max values: 41.904, median values: 0.26718, and quantile values: 0.25 0.068950\n0.50 0.267180\n0.75 0.883415\nName: 175, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3612487894489118, std values: 4.661552325822988, min values: 1.8927e-08, max values: 36.896, median values: 0.20621, and quantile values: 0.25 0.048054\n0.50 0.206210\n0.75 0.818755\nName: 176, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5957395411817612, std values: 5.323721125322891, min values: 3.0413e-06, max values: 45.433, median values: 0.23766, and quantile values: 0.25 0.060858\n0.50 0.237660\n0.75 0.969730\nName: 177, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.603620894728302, std values: 5.083842864183862, min values: 1.9131e-06, max values: 41.544, median values: 0.28564, and quantile values: 0.25 0.078790\n0.50 0.285640\n0.75 1.012465\nName: 178, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4688619321955976, std values: 4.744202478808728, min values: 1.4736e-06, max values: 38.531, median values: 0.22801, and quantile values: 0.25 0.06716\n0.50 0.22801\n0.75 0.90385\nName: 179, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.301947404158113, std values: 4.713397945897917, min values: 6.8294e-07, max values: 37.71, median values: 0.19591, and quantile values: 0.25 0.063211\n0.50 0.195910\n0.75 0.695430\nName: 180, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2132772056916352, std values: 4.684246328810113, min values: 1.7175e-07, max values: 38.48, median values: 0.13004, and quantile values: 0.25 0.034889\n0.50 0.130040\n0.75 0.659055\nName: 181, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4535263949940882, std values: 4.817701377034336, min values: 2.7386e-07, max values: 39.183, median values: 0.24283, and quantile values: 0.25 0.055107\n0.50 0.242830\n0.75 0.882685\nName: 182, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3051896296226666, std values: 4.796015292417744, min values: 2.9374e-08, max values: 39.75, median values: 0.18174, and quantile values: 0.25 0.047799\n0.50 0.181740\n0.75 0.680385\nName: 183, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2526029444408804, std values: 4.713647593436851, min values: 2.2796e-06, max values: 39.765, median values: 0.15952, and quantile values: 0.25 0.048247\n0.50 0.159520\n0.75 0.602205\nName: 184, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4908382792867925, std values: 5.044857249321151, min values: 2.0987e-06, max values: 41.319, median values: 0.23929, and quantile values: 0.25 0.067405\n0.50 0.239290\n0.75 0.898180\nName: 185, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4958208529753458, std values: 4.9207285955856515, min values: 4.6348e-07, max values: 39.805, median values: 0.23136, and quantile values: 0.25 0.057307\n0.50 0.231360\n0.75 0.903815\nName: 186, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2725928873537107, std values: 4.624882762627947, min values: 1.8604e-07, max values: 38.009, median values: 0.16641, and quantile values: 0.25 0.048967\n0.50 0.166410\n0.75 0.721870\nName: 187, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4754371081853461, std values: 5.030886409381614, min values: 6.0557e-07, max values: 42.71, median values: 0.21376, and quantile values: 0.25 0.058715\n0.50 0.213760\n0.75 0.898580\nName: 188, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4825469537254716, std values: 5.133628888729634, min values: 8.5285e-07, max values: 44.121, median values: 0.1931, and quantile values: 0.25 0.054702\n0.50 0.193100\n0.75 0.841460\nName: 189, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5757634395796227, std values: 4.988108433810973, min values: 2.6466e-07, max values: 40.912, median values: 0.21772, and quantile values: 0.25 0.060609\n0.50 0.217720\n0.75 0.992570\nName: 190, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2291500933820125, std values: 4.918727656031973, min values: 1.4526e-07, max values: 42.705, median values: 0.14265, and quantile values: 0.25 0.037044\n0.50 0.142650\n0.75 0.608605\nName: 191, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4876698855143398, std values: 4.853777078897845, min values: 2.598e-08, max values: 39.884, median values: 0.21478, and quantile values: 0.25 0.057611\n0.50 0.214780\n0.75 0.969660\nName: 192, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4585880012861636, std values: 5.013470109367927, min values: 2.2979e-06, max values: 41.439, median values: 0.22274, and quantile values: 0.25 0.073516\n0.50 0.222740\n0.75 0.877925\nName: 193, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4919609631792452, std values: 4.911250186361507, min values: 2.2806e-06, max values: 39.97, median values: 0.24416, and quantile values: 0.25 0.069787\n0.50 0.244160\n0.75 0.867135\nName: 194, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2047699176789937, std values: 4.498274225640041, min values: 4.8786e-07, max values: 36.667, median values: 0.16855, and quantile values: 0.25 0.046519\n0.50 0.168550\n0.75 0.646545\nName: 195, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.599756693872956, std values: 5.031821162150724, min values: 2.2823e-06, max values: 39.876, median values: 0.26604, and quantile values: 0.25 0.083118\n0.50 0.266040\n0.75 0.985800\nName: 196, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5144968753647798, std values: 4.945720476100239, min values: 1.4013e-06, max values: 39.377, median values: 0.22385, and quantile values: 0.25 0.063885\n0.50 0.223850\n0.75 0.954785\nName: 197, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.882050869174214, std values: 5.453123839906464, min values: 4.6347e-06, max values: 43.929, median values: 0.35792, and quantile values: 0.25 0.08318\n0.50 0.35792\n0.75 1.34845\nName: 198, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4994907293245283, std values: 4.879892543162179, min values: 4.0486e-06, max values: 40.116, median values: 0.24492, and quantile values: 0.25 0.068615\n0.50 0.244920\n0.75 0.825605\nName: 199, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4914894297704402, std values: 4.9430704726970545, min values: 1.9794e-06, max values: 39.414, median values: 0.22786, and quantile values: 0.25 0.064388\n0.50 0.227860\n0.75 0.901235\nName: 200, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3867038594132075, std values: 4.739932648408994, min values: 1.166e-06, max values: 38.826, median values: 0.19095, and quantile values: 0.25 0.059415\n0.50 0.190950\n0.75 0.819645\nName: 201, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.388100892288239, std values: 4.785752802032177, min values: 6.4153e-07, max values: 38.133, median values: 0.20896, and quantile values: 0.25 0.053934\n0.50 0.208960\n0.75 0.812510\nName: 202, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3900328373062893, std values: 5.028958190975904, min values: 2.9143e-06, max values: 40.863, median values: 0.19612, and quantile values: 0.25 0.055357\n0.50 0.196120\n0.75 0.707220\nName: 203, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4548599860125788, std values: 4.9514695057441855, min values: 1.9864e-06, max values: 40.656, median values: 0.2161, and quantile values: 0.25 0.071246\n0.50 0.216100\n0.75 0.868945\nName: 204, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.348599919681698, std values: 4.840827691515834, min values: 8.1199e-07, max values: 39.674, median values: 0.18009, and quantile values: 0.25 0.052544\n0.50 0.180090\n0.75 0.760245\nName: 205, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.737216989445283, std values: 5.060418578623017, min values: 1.9966e-06, max values: 39.434, median values: 0.28825, and quantile values: 0.25 0.070302\n0.50 0.288250\n0.75 1.241850\nName: 206, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5219887300181134, std values: 4.8411694854799965, min values: 6.8418e-07, max values: 38.203, median values: 0.24782, and quantile values: 0.25 0.072510\n0.50 0.247820\n0.75 0.967455\nName: 207, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6841458431673584, std values: 5.232004623021231, min values: 6.1351e-07, max values: 44.348, median values: 0.27848, and quantile values: 0.25 0.075948\n0.50 0.278480\n0.75 1.154600\nName: 208, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3748756794069181, std values: 5.13882625487622, min values: 1.567e-06, max values: 43.671, median values: 0.18278, and quantile values: 0.25 0.060699\n0.50 0.182780\n0.75 0.729285\nName: 209, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7457424717308176, std values: 5.283962947967951, min values: 3.2653e-06, max values: 42.959, median values: 0.35105, and quantile values: 0.25 0.091735\n0.50 0.351050\n0.75 1.132200\nName: 210, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4677468221438366, std values: 5.123358905801988, min values: 9.0877e-07, max values: 44.148, median values: 0.20491, and quantile values: 0.25 0.06022\n0.50 0.20491\n0.75 0.85525\nName: 211, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3421694201402516, std values: 4.773028373730384, min values: 1.6024e-06, max values: 39.596, median values: 0.18688, and quantile values: 0.25 0.049989\n0.50 0.186880\n0.75 0.770300\nName: 212, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3859163307889937, std values: 4.6250782418788585, min values: 5.1135e-07, max values: 37.862, median values: 0.18033, and quantile values: 0.25 0.053214\n0.50 0.180330\n0.75 0.810740\nName: 213, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.320111971971698, std values: 4.640245041819992, min values: 1.1188e-06, max values: 38.56, median values: 0.16701, and quantile values: 0.25 0.058432\n0.50 0.167010\n0.75 0.812435\nName: 214, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5016795234755975, std values: 5.044245706978796, min values: 3.7772e-07, max values: 42.919, median values: 0.20705, and quantile values: 0.25 0.058678\n0.50 0.207050\n0.75 0.889965\nName: 215, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7827370659446542, std values: 5.30611773758441, min values: 6.0325e-06, max values: 40.91, median values: 0.30984, and quantile values: 0.25 0.097089\n0.50 0.309840\n0.75 1.145400\nName: 216, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.710677496174843, std values: 5.074426135471718, min values: 1.6825e-06, max values: 40.139, median values: 0.27171, and quantile values: 0.25 0.081054\n0.50 0.271710\n0.75 1.224450\nName: 217, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6338990814397736, std values: 4.9869556605668945, min values: 2.7724e-08, max values: 40.818, median values: 0.24496, and quantile values: 0.25 0.063257\n0.50 0.244960\n0.75 1.068300\nName: 218, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5207805214075472, std values: 5.010397999615024, min values: 2.3857e-06, max values: 40.379, median values: 0.2415, and quantile values: 0.25 0.064577\n0.50 0.241500\n0.75 0.919680\nName: 219, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2554641831581759, std values: 4.790337533982944, min values: 1.3779e-07, max values: 39.702, median values: 0.14617, and quantile values: 0.25 0.038712\n0.50 0.146170\n0.75 0.616000\nName: 220, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7307986473132073, std values: 5.152172754623185, min values: 4.0555e-06, max values: 40.464, median values: 0.32713, and quantile values: 0.25 0.083631\n0.50 0.327130\n0.75 1.155950\nName: 221, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8094791228528304, std values: 5.122850437121997, min values: 2.9658e-06, max values: 39.314, median values: 0.32333, and quantile values: 0.25 0.08955\n0.50 0.32333\n0.75 1.26930\nName: 222, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.415377864384088, std values: 5.067274527842742, min values: 6.9567e-07, max values: 43.791, median values: 0.17879, and quantile values: 0.25 0.053080\n0.50 0.178790\n0.75 0.762655\nName: 223, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.354536210141698, std values: 4.916838454955242, min values: 3.7813e-07, max values: 40.795, median values: 0.16231, and quantile values: 0.25 0.054067\n0.50 0.162310\n0.75 0.719965\nName: 224, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4330619745761008, std values: 4.773166939284753, min values: 2.3685e-06, max values: 39.996, median values: 0.2297, and quantile values: 0.25 0.058172\n0.50 0.229700\n0.75 0.931615\nName: 225, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5928005482446543, std values: 5.058168589544784, min values: 2.6618e-06, max values: 40.069, median values: 0.25903, and quantile values: 0.25 0.067961\n0.50 0.259030\n0.75 1.071750\nName: 226, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2932989334105787, std values: 4.845566192075315, min values: 2.0982e-08, max values: 40.748, median values: 0.14337, and quantile values: 0.25 0.037382\n0.50 0.143370\n0.75 0.621480\nName: 227, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6082032320459119, std values: 5.076000404830165, min values: 4.0122e-06, max values: 40.029, median values: 0.27602, and quantile values: 0.25 0.073141\n0.50 0.276020\n0.75 0.945440\nName: 228, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.765863903300629, std values: 5.174409115690317, min values: 1.4642e-06, max values: 41.984, median values: 0.30903, and quantile values: 0.25 0.085511\n0.50 0.309030\n0.75 1.271850\nName: 229, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5466475155276729, std values: 4.945582314325717, min values: 2.13e-06, max values: 39.092, median values: 0.24706, and quantile values: 0.25 0.065706\n0.50 0.247060\n0.75 0.972800\nName: 230, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4109925422150942, std values: 4.650631784047558, min values: 2.4289e-06, max values: 39.511, median values: 0.24084, and quantile values: 0.25 0.063927\n0.50 0.240840\n0.75 0.847955\nName: 231, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7015268073100627, std values: 4.9240250256833615, min values: 1.1409e-06, max values: 38.424, median values: 0.2923, and quantile values: 0.25 0.080434\n0.50 0.292300\n0.75 1.213050\nName: 232, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4186639965421382, std values: 4.825722096465444, min values: 3.1245e-06, max values: 40.166, median values: 0.20283, and quantile values: 0.25 0.060848\n0.50 0.202830\n0.75 0.808235\nName: 233, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5077205779446539, std values: 5.003387379183052, min values: 3.0923e-06, max values: 40.677, median values: 0.22627, and quantile values: 0.25 0.067636\n0.50 0.226270\n0.75 0.841325\nName: 234, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.389593109910692, std values: 4.707581628003468, min values: 1.4091e-06, max values: 38.434, median values: 0.22038, and quantile values: 0.25 0.05647\n0.50 0.22038\n0.75 0.86311\nName: 235, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4607362835496853, std values: 4.72437541188333, min values: 1.1723e-06, max values: 37.906, median values: 0.22053, and quantile values: 0.25 0.059736\n0.50 0.220530\n0.75 0.941440\nName: 236, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4059248394012014, std values: 4.735482113527245, min values: 9.4591e-08, max values: 37.692, median values: 0.20497, and quantile values: 0.25 0.052423\n0.50 0.204970\n0.75 0.850680\nName: 237, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6342406302691825, std values: 5.242660203033551, min values: 3.5157e-06, max values: 43.761, median values: 0.27294, and quantile values: 0.25 0.076505\n0.50 0.272940\n0.75 1.020250\nName: 238, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.540291021058868, std values: 4.928961939518573, min values: 1.5646e-07, max values: 39.496, median values: 0.24047, and quantile values: 0.25 0.059787\n0.50 0.240470\n0.75 1.029500\nName: 239, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.709234232654717, std values: 5.0555736972282865, min values: 5.1788e-06, max values: 39.962, median values: 0.28226, and quantile values: 0.25 0.086031\n0.50 0.282260\n0.75 1.096850\nName: 240, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8610452695691824, std values: 5.247722133020345, min values: 5.8245e-06, max values: 40.677, median values: 0.33609, and quantile values: 0.25 0.090755\n0.50 0.336090\n0.75 1.326000\nName: 241, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4432464130666667, std values: 4.68110881155832, min values: 2.5358e-06, max values: 38.993, median values: 0.23757, and quantile values: 0.25 0.06828\n0.50 0.23757\n0.75 0.89354\nName: 242, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7148723386, std values: 5.063975312758938, min values: 1.1202e-06, max values: 39.86, median values: 0.27061, and quantile values: 0.25 0.079221\n0.50 0.270610\n0.75 1.149000\nName: 243, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6805674026242137, std values: 4.917290618527903, min values: 7.4375e-07, max values: 38.578, median values: 0.31045, and quantile values: 0.25 0.076105\n0.50 0.310450\n0.75 1.240000\nName: 244, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.736075069418239, std values: 5.192935196674189, min values: 6.2995e-06, max values: 40.995, median values: 0.28646, and quantile values: 0.25 0.082435\n0.50 0.286460\n0.75 1.075550\nName: 245, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6983518650836478, std values: 5.042302609770745, min values: 4.879e-06, max values: 40.274, median values: 0.28085, and quantile values: 0.25 0.08095\n0.50 0.28085\n0.75 1.11680\nName: 246, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.487991401444654, std values: 5.102456728019408, min values: 3.1767e-06, max values: 41.758, median values: 0.22279, and quantile values: 0.25 0.067317\n0.50 0.222790\n0.75 0.821430\nName: 247, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5530883442554086, std values: 5.109760893638789, min values: 4.2401e-07, max values: 43.446, median values: 0.24981, and quantile values: 0.25 0.064323\n0.50 0.249810\n0.75 0.995960\nName: 248, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3241811591106918, std values: 4.857230459120033, min values: 1.8629e-06, max values: 39.077, median values: 0.17204, and quantile values: 0.25 0.051311\n0.50 0.172040\n0.75 0.771505\nName: 249, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6212033961779875, std values: 4.984221572656115, min values: 6.259e-07, max values: 39.58, median values: 0.24685, and quantile values: 0.25 0.067029\n0.50 0.246850\n0.75 1.093450\nName: 250, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2699140151955974, std values: 4.637974940960355, min values: 1.7759e-06, max values: 39.203, median values: 0.18334, and quantile values: 0.25 0.064337\n0.50 0.183340\n0.75 0.679385\nName: 251, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5345566599938363, std values: 4.9839547180491515, min values: 9.9002e-07, max values: 41.361, median values: 0.19729, and quantile values: 0.25 0.054777\n0.50 0.197290\n0.75 0.897155\nName: 252, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4265564798739307, std values: 4.912440115362086, min values: 9.2415e-08, max values: 41.755, median values: 0.18396, and quantile values: 0.25 0.038942\n0.50 0.183960\n0.75 0.824220\nName: 253, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4422840259944654, std values: 4.9002761312380505, min values: 9.0752e-07, max values: 39.454, median values: 0.20978, and quantile values: 0.25 0.060778\n0.50 0.209780\n0.75 0.850560\nName: 254, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5083842127742142, std values: 5.055878230517786, min values: 1.4656e-06, max values: 41.887, median values: 0.21452, and quantile values: 0.25 0.057889\n0.50 0.214520\n0.75 0.936225\nName: 255, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3078052562462892, std values: 4.905742268997572, min values: 7.5716e-07, max values: 41.366, median values: 0.18238, and quantile values: 0.25 0.053056\n0.50 0.182380\n0.75 0.700315\nName: 256, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5789127113597483, std values: 4.986471234915425, min values: 1.5329e-06, max values: 39.463, median values: 0.21664, and quantile values: 0.25 0.065297\n0.50 0.216640\n0.75 1.030050\nName: 257, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8221568974308175, std values: 5.217405978553063, min values: 6.259e-07, max values: 41.512, median values: 0.33203, and quantile values: 0.25 0.083745\n0.50 0.332030\n0.75 1.325600\nName: 258, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5942885705647798, std values: 4.899202924587599, min values: 1.2161e-06, max values: 38.604, median values: 0.25117, and quantile values: 0.25 0.064354\n0.50 0.251170\n0.75 1.082745\nName: 259, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5930760846509433, std values: 5.159666573780079, min values: 3.4982e-06, max values: 41.579, median values: 0.24101, and quantile values: 0.25 0.066508\n0.50 0.241010\n0.75 0.954845\nName: 260, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4511496669696224, std values: 5.021887585612392, min values: 3.5767e-07, max values: 42.645, median values: 0.18847, and quantile values: 0.25 0.050869\n0.50 0.188470\n0.75 0.802370\nName: 261, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3783529052246541, std values: 4.662616988319478, min values: 3.6492e-07, max values: 37.304, median values: 0.19543, and quantile values: 0.25 0.052593\n0.50 0.195430\n0.75 0.762155\nName: 262, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4900382962371068, std values: 4.799403669313784, min values: 1.1857e-06, max values: 38.162, median values: 0.24858, and quantile values: 0.25 0.063225\n0.50 0.248580\n0.75 0.968235\nName: 263, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2777004126138995, std values: 4.701900132690392, min values: 8.3391e-07, max values: 37.81, median values: 0.17621, and quantile values: 0.25 0.051709\n0.50 0.176210\n0.75 0.691770\nName: 264, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.46950553438239, std values: 4.8355751264195, min values: 1.6649e-06, max values: 39.134, median values: 0.22026, and quantile values: 0.25 0.069574\n0.50 0.220260\n0.75 0.874980\nName: 265, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4703076367872956, std values: 4.658884390955595, min values: 3.5848e-07, max values: 36.729, median values: 0.21163, and quantile values: 0.25 0.065439\n0.50 0.211630\n0.75 0.972660\nName: 266, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5498213576528301, std values: 4.9474419563873555, min values: 1.6409e-06, max values: 39.266, median values: 0.249, and quantile values: 0.25 0.067704\n0.50 0.249000\n0.75 0.987715\nName: 267, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5822469120637732, std values: 4.787963569737996, min values: 2.384e-08, max values: 37.713, median values: 0.25458, and quantile values: 0.25 0.069516\n0.50 0.254580\n0.75 1.096150\nName: 268, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4982881026190566, std values: 4.779740359404529, min values: 8.7133e-07, max values: 37.641, median values: 0.23943, and quantile values: 0.25 0.071027\n0.50 0.239430\n0.75 1.064500\nName: 269, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4911629287018868, std values: 4.865210587354681, min values: 1.5617e-06, max values: 38.439, median values: 0.19873, and quantile values: 0.25 0.062025\n0.50 0.198730\n0.75 0.892670\nName: 270, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4958652538823898, std values: 4.898585399496449, min values: 2.3875e-06, max values: 39.332, median values: 0.23086, and quantile values: 0.25 0.066056\n0.50 0.230860\n0.75 0.881700\nName: 271, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.382008164789308, std values: 5.044570197989093, min values: 2.8041e-06, max values: 41.087, median values: 0.19471, and quantile values: 0.25 0.051099\n0.50 0.194710\n0.75 0.741550\nName: 272, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.773543251966038, std values: 5.213188210484729, min values: 4.7076e-06, max values: 40.448, median values: 0.28667, and quantile values: 0.25 0.084866\n0.50 0.286670\n0.75 1.184750\nName: 273, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.825571494737736, std values: 5.320338830810643, min values: 1.8093e-06, max values: 43.501, median values: 0.2979, and quantile values: 0.25 0.078956\n0.50 0.297900\n0.75 1.274100\nName: 274, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4319154016515723, std values: 5.025923607879058, min values: 1.9052e-06, max values: 40.724, median values: 0.23537, and quantile values: 0.25 0.059904\n0.50 0.235370\n0.75 0.866140\nName: 275, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6751056577345913, std values: 5.269955660502047, min values: 4.6507e-06, max values: 42.414, median values: 0.26684, and quantile values: 0.25 0.072093\n0.50 0.266840\n0.75 1.008730\nName: 276, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3956435707133963, std values: 4.79471499283924, min values: 2.2183e-07, max values: 38.414, median values: 0.15859, and quantile values: 0.25 0.052074\n0.50 0.158590\n0.75 0.814240\nName: 277, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.486858866398013, std values: 5.17330680337957, min values: 7.0764e-08, max values: 45.748, median values: 0.19673, and quantile values: 0.25 0.052228\n0.50 0.196730\n0.75 0.885805\nName: 278, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1365310747796225, std values: 4.452597114006893, min values: 3.7106e-07, max values: 37.268, median values: 0.14598, and quantile values: 0.25 0.043536\n0.50 0.145980\n0.75 0.560595\nName: 279, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5222801957339624, std values: 4.749276410569755, min values: 1.6501e-06, max values: 38.545, median values: 0.2524, and quantile values: 0.25 0.076101\n0.50 0.252400\n0.75 1.004435\nName: 280, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9295215512119497, std values: 5.592077850695428, min values: 7.6737e-06, max values: 44.375, median values: 0.30383, and quantile values: 0.25 0.096168\n0.50 0.303830\n0.75 1.203200\nName: 281, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5051150358220124, std values: 5.005460770291449, min values: 1.1852e-06, max values: 41.748, median values: 0.22817, and quantile values: 0.25 0.068502\n0.50 0.228170\n0.75 0.918710\nName: 282, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.335402437937107, std values: 4.832285791066884, min values: 1.3966e-06, max values: 38.605, median values: 0.19374, and quantile values: 0.25 0.063365\n0.50 0.193740\n0.75 0.702030\nName: 283, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2690240072138363, std values: 4.716079257762117, min values: 1.0214e-06, max values: 38.708, median values: 0.16161, and quantile values: 0.25 0.051815\n0.50 0.161610\n0.75 0.653260\nName: 284, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6331165791350943, std values: 5.197236915902335, min values: 1.9368e-07, max values: 45.422, median values: 0.2674, and quantile values: 0.25 0.062323\n0.50 0.267400\n0.75 1.067950\nName: 285, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3841081126798742, std values: 5.054550477375502, min values: 2.7968e-06, max values: 40.89, median values: 0.18693, and quantile values: 0.25 0.064156\n0.50 0.186930\n0.75 0.697620\nName: 286, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4454263526433964, std values: 5.022027496580539, min values: 1.2809e-06, max values: 41.739, median values: 0.21511, and quantile values: 0.25 0.060692\n0.50 0.215110\n0.75 0.806125\nName: 287, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4698903553025155, std values: 5.108129644509872, min values: 1.5332e-06, max values: 43.13, median values: 0.20649, and quantile values: 0.25 0.062612\n0.50 0.206490\n0.75 0.876365\nName: 288, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2490305606120127, std values: 4.580510673855495, min values: 2.8701e-07, max values: 36.971, median values: 0.15244, and quantile values: 0.25 0.046374\n0.50 0.152440\n0.75 0.671975\nName: 289, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4929751716, std values: 5.042701658272107, min values: 2.9449e-06, max values: 40.203, median values: 0.22747, and quantile values: 0.25 0.068531\n0.50 0.227470\n0.75 0.882040\nName: 290, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2240902262163522, std values: 4.702143390533605, min values: 1.8596e-06, max values: 40.206, median values: 0.15681, and quantile values: 0.25 0.04663\n0.50 0.15681\n0.75 0.64966\nName: 291, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5166998937835219, std values: 5.0039505870139465, min values: 3.4478e-07, max values: 42.037, median values: 0.21955, and quantile values: 0.25 0.066123\n0.50 0.219550\n0.75 0.927765\nName: 292, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6779600395050314, std values: 4.885683332872483, min values: 3.4496e-06, max values: 38.41, median values: 0.30547, and quantile values: 0.25 0.089647\n0.50 0.305470\n0.75 1.078900\nName: 293, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5028036079522014, std values: 5.240432174783013, min values: 3.0344e-06, max values: 43.841, median values: 0.22361, and quantile values: 0.25 0.070143\n0.50 0.223610\n0.75 0.799125\nName: 294, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3529211869468996, std values: 4.731988544822273, min values: 2.5637e-08, max values: 38.919, median values: 0.17609, and quantile values: 0.25 0.041553\n0.50 0.176090\n0.75 0.734330\nName: 295, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5049216477783334, std values: 4.881373581702718, min values: 1.9555e-08, max values: 38.792, median values: 0.20959, and quantile values: 0.25 0.051319\n0.50 0.209590\n0.75 0.938090\nName: 296, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2716696457001258, std values: 4.587425793817704, min values: 3.3152e-07, max values: 37.483, median values: 0.15874, and quantile values: 0.25 0.047622\n0.50 0.158740\n0.75 0.649605\nName: 297, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.502201766472327, std values: 4.7662941310242894, min values: 1.2322e-06, max values: 38.19, median values: 0.22347, and quantile values: 0.25 0.065213\n0.50 0.223470\n0.75 0.991350\nName: 298, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6048464578880501, std values: 5.0890066957670586, min values: 2.5324e-06, max values: 40.647, median values: 0.30736, and quantile values: 0.25 0.069826\n0.50 0.307360\n0.75 1.037725\nName: 299, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5093760022666665, std values: 5.136631456080402, min values: 4.2076e-06, max values: 41.376, median values: 0.23007, and quantile values: 0.25 0.061489\n0.50 0.230070\n0.75 0.818860\nName: 300, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2989890392313208, std values: 4.517806369961723, min values: 5.7538e-07, max values: 37.213, median values: 0.16224, and quantile values: 0.25 0.055253\n0.50 0.162240\n0.75 0.699865\nName: 301, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2559475530428303, std values: 4.5105605303777, min values: 7.0471e-07, max values: 37.245, median values: 0.16613, and quantile values: 0.25 0.053456\n0.50 0.166130\n0.75 0.684935\nName: 302, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5035697554572327, std values: 4.952470565755237, min values: 1.1945e-06, max values: 39.433, median values: 0.21378, and quantile values: 0.25 0.063579\n0.50 0.213780\n0.75 0.935835\nName: 303, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5233648249880503, std values: 5.147373951850228, min values: 2.6512e-06, max values: 42.035, median values: 0.23867, and quantile values: 0.25 0.062274\n0.50 0.238670\n0.75 0.888205\nName: 304, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.45682500059239, std values: 4.81233969240463, min values: 1.1489e-07, max values: 38.737, median values: 0.22302, and quantile values: 0.25 0.058841\n0.50 0.223020\n0.75 0.879110\nName: 305, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3627334254061005, std values: 4.876824835292218, min values: 1.1087e-07, max values: 39.896, median values: 0.18866, and quantile values: 0.25 0.043439\n0.50 0.188660\n0.75 0.793940\nName: 306, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5573763055889558, std values: 4.8935430985072665, min values: 2.1194e-08, max values: 40.809, median values: 0.22691, and quantile values: 0.25 0.046123\n0.50 0.226910\n0.75 1.035700\nName: 307, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2885868564377356, std values: 4.89681329849942, min values: 1.1853e-06, max values: 39.714, median values: 0.17152, and quantile values: 0.25 0.04848\n0.50 0.17152\n0.75 0.71663\nName: 308, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4896424844840883, std values: 4.8319083816816635, min values: 7.0127e-07, max values: 38.398, median values: 0.20103, and quantile values: 0.25 0.058939\n0.50 0.201030\n0.75 0.943880\nName: 309, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.391281416250943, std values: 4.914654099029465, min values: 2.0155e-06, max values: 39.721, median values: 0.20154, and quantile values: 0.25 0.062280\n0.50 0.201540\n0.75 0.801515\nName: 310, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3734906181968554, std values: 4.832503587231582, min values: 1.9761e-06, max values: 39.655, median values: 0.19682, and quantile values: 0.25 0.058947\n0.50 0.196820\n0.75 0.746530\nName: 311, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.497067919551635, std values: 5.046956254666421, min values: 4.8191e-07, max values: 42.168, median values: 0.18675, and quantile values: 0.25 0.056862\n0.50 0.186750\n0.75 0.829695\nName: 312, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2919358912433332, std values: 4.582728353866067, min values: 4.8359e-07, max values: 37.808, median values: 0.17848, and quantile values: 0.25 0.052462\n0.50 0.178480\n0.75 0.732630\nName: 313, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2337148815261634, std values: 4.792500172629497, min values: 3.5495e-07, max values: 39.8, median values: 0.15193, and quantile values: 0.25 0.042865\n0.50 0.151930\n0.75 0.551125\nName: 314, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3722933398471697, std values: 4.794450837423351, min values: 2.663e-06, max values: 39.642, median values: 0.19324, and quantile values: 0.25 0.053738\n0.50 0.193240\n0.75 0.761755\nName: 315, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5204232351687106, std values: 5.120804748568703, min values: 4.7275e-08, max values: 45.597, median values: 0.188, and quantile values: 0.25 0.044581\n0.50 0.188000\n0.75 0.841915\nName: 316, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4139975554377358, std values: 4.858761802791687, min values: 4.027e-07, max values: 40.341, median values: 0.19762, and quantile values: 0.25 0.054745\n0.50 0.197620\n0.75 0.794950\nName: 317, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5387098460307544, std values: 4.864779686550459, min values: 2.6899e-07, max values: 39.053, median values: 0.24737, and quantile values: 0.25 0.056781\n0.50 0.247370\n0.75 1.002290\nName: 318, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4402560873467924, std values: 4.732459686652269, min values: 2.0434e-07, max values: 38.414, median values: 0.21364, and quantile values: 0.25 0.056537\n0.50 0.213640\n0.75 0.872475\nName: 319, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4992246715293145, std values: 4.817636780711501, min values: 3.3461e-08, max values: 39.043, median values: 0.22614, and quantile values: 0.25 0.062067\n0.50 0.226140\n0.75 0.935525\nName: 320, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3573567376238993, std values: 4.577345994795982, min values: 1.1401e-06, max values: 38.372, median values: 0.18543, and quantile values: 0.25 0.053918\n0.50 0.185430\n0.75 0.825950\nName: 321, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4857524201647798, std values: 5.081325728627044, min values: 1.1864e-06, max values: 43.423, median values: 0.22255, and quantile values: 0.25 0.067148\n0.50 0.222550\n0.75 0.860760\nName: 322, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5237243138744023, std values: 4.992831317568573, min values: 7.2493e-07, max values: 40.627, median values: 0.24579, and quantile values: 0.25 0.063593\n0.50 0.245790\n0.75 0.984445\nName: 323, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5452899940525158, std values: 4.916748195939046, min values: 9.9845e-07, max values: 38.777, median values: 0.23098, and quantile values: 0.25 0.066247\n0.50 0.230980\n0.75 0.919010\nName: 324, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6150388184402518, std values: 5.177973812793889, min values: 1.4187e-06, max values: 43.853, median values: 0.26637, and quantile values: 0.25 0.070147\n0.50 0.266370\n0.75 0.976960\nName: 325, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2273007357960377, std values: 4.513658816270069, min values: 9.3357e-07, max values: 38.673, median values: 0.15267, and quantile values: 0.25 0.040278\n0.50 0.152670\n0.75 0.664360\nName: 326, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.548894238455975, std values: 5.004722713596357, min values: 1.7158e-06, max values: 40.042, median values: 0.23613, and quantile values: 0.25 0.072279\n0.50 0.236130\n0.75 0.955905\nName: 327, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.614333655201258, std values: 5.097583232674736, min values: 1.3301e-06, max values: 41.508, median values: 0.24557, and quantile values: 0.25 0.068623\n0.50 0.245570\n0.75 1.045705\nName: 328, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5437456099654088, std values: 4.865685293310161, min values: 1.8308e-06, max values: 38.82, median values: 0.24282, and quantile values: 0.25 0.073660\n0.50 0.242820\n0.75 0.998135\nName: 329, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4736426816169812, std values: 4.66075730731243, min values: 1.28e-06, max values: 38.576, median values: 0.21613, and quantile values: 0.25 0.065821\n0.50 0.216130\n0.75 0.980425\nName: 330, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4194807360908177, std values: 4.996981843688973, min values: 8.7544e-07, max values: 42.72, median values: 0.21504, and quantile values: 0.25 0.062536\n0.50 0.215040\n0.75 0.772980\nName: 331, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4387468330301887, std values: 4.956110950237021, min values: 1.0455e-06, max values: 40.594, median values: 0.21894, and quantile values: 0.25 0.055402\n0.50 0.218940\n0.75 0.808035\nName: 332, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.300782248232264, std values: 4.724222042617621, min values: 5.2423e-07, max values: 37.804, median values: 0.17314, and quantile values: 0.25 0.050172\n0.50 0.173140\n0.75 0.664935\nName: 333, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3403776077663963, std values: 4.755032328028704, min values: 2.2977e-08, max values: 39.12, median values: 0.19316, and quantile values: 0.25 0.042653\n0.50 0.193160\n0.75 0.762395\nName: 334, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3660585423648428, std values: 4.759186642832899, min values: 5.8861e-07, max values: 38.309, median values: 0.18581, and quantile values: 0.25 0.052747\n0.50 0.185810\n0.75 0.789895\nName: 335, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.518650077691195, std values: 5.185625677857957, min values: 2.0572e-06, max values: 43.214, median values: 0.23022, and quantile values: 0.25 0.069602\n0.50 0.230220\n0.75 0.829970\nName: 336, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4978279770182392, std values: 5.00952165320795, min values: 2.1567e-06, max values: 41.01, median values: 0.22424, and quantile values: 0.25 0.061598\n0.50 0.224240\n0.75 0.879470\nName: 337, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.611884769018679, std values: 4.904315907526312, min values: 9.9127e-07, max values: 38.237, median values: 0.23877, and quantile values: 0.25 0.070858\n0.50 0.238770\n0.75 0.996885\nName: 338, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6273520275628932, std values: 5.055834450385719, min values: 3.9945e-06, max values: 40.281, median values: 0.25608, and quantile values: 0.25 0.076792\n0.50 0.256080\n0.75 0.992160\nName: 339, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.205121313675849, std values: 4.741925798923006, min values: 3.8276e-07, max values: 38.502, median values: 0.12506, and quantile values: 0.25 0.039152\n0.50 0.125060\n0.75 0.593120\nName: 340, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6635848042025156, std values: 5.066711728714706, min values: 1.4422e-06, max values: 40.568, median values: 0.26685, and quantile values: 0.25 0.076789\n0.50 0.266850\n0.75 1.146650\nName: 341, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4539087675252957, std values: 4.965513111204917, min values: 2.4512e-08, max values: 42.215, median values: 0.1946, and quantile values: 0.25 0.051885\n0.50 0.194600\n0.75 0.880145\nName: 342, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4378333043749685, std values: 4.911251209038375, min values: 2.3792e-07, max values: 41.393, median values: 0.21485, and quantile values: 0.25 0.051187\n0.50 0.214850\n0.75 0.896835\nName: 343, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3760960641118867, std values: 4.789129237664373, min values: 1.0965e-07, max values: 39.549, median values: 0.17289, and quantile values: 0.25 0.045427\n0.50 0.172890\n0.75 0.745660\nName: 344, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6417246853698113, std values: 5.131973132023185, min values: 4.8962e-06, max values: 40.495, median values: 0.2793, and quantile values: 0.25 0.092335\n0.50 0.279300\n0.75 0.986030\nName: 345, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.651361877472956, std values: 5.386766661875987, min values: 5.1959e-06, max values: 42.877, median values: 0.24789, and quantile values: 0.25 0.065056\n0.50 0.247890\n0.75 0.896680\nName: 346, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6067130494415094, std values: 4.995471861144781, min values: 1.7382e-06, max values: 39.584, median values: 0.23309, and quantile values: 0.25 0.068418\n0.50 0.233090\n0.75 1.064450\nName: 347, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.852325018655975, std values: 5.356247923633831, min values: 6.3433e-06, max values: 41.421, median values: 0.34664, and quantile values: 0.25 0.093533\n0.50 0.346640\n0.75 1.224550\nName: 348, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4806730780815724, std values: 4.737830572697803, min values: 9.9507e-07, max values: 37.66, median values: 0.24506, and quantile values: 0.25 0.068644\n0.50 0.245060\n0.75 0.921715\nName: 349, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5553210526904404, std values: 5.044472760489673, min values: 7.4758e-07, max values: 41.732, median values: 0.24943, and quantile values: 0.25 0.066813\n0.50 0.249430\n0.75 0.996785\nName: 350, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5448155944241508, std values: 4.9190141396076115, min values: 3.2064e-07, max values: 40.073, median values: 0.22158, and quantile values: 0.25 0.056394\n0.50 0.221580\n0.75 0.985015\nName: 351, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.531316492788805, std values: 4.646109867392961, min values: 4.7922e-07, max values: 38.001, median values: 0.25432, and quantile values: 0.25 0.068052\n0.50 0.254320\n0.75 1.027250\nName: 352, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4147295404838365, std values: 4.855098899613695, min values: 2.0663e-07, max values: 39.953, median values: 0.20624, and quantile values: 0.25 0.055437\n0.50 0.206240\n0.75 0.806015\nName: 353, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.334325046901887, std values: 4.625864413835366, min values: 1.7395e-06, max values: 39.256, median values: 0.18342, and quantile values: 0.25 0.051847\n0.50 0.183420\n0.75 0.748320\nName: 354, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.490343286653648, std values: 4.868261983425344, min values: 9.7693e-07, max values: 38.6, median values: 0.23166, and quantile values: 0.25 0.060515\n0.50 0.231660\n0.75 0.952305\nName: 355, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3807195158238994, std values: 5.008100217397828, min values: 2.4944e-06, max values: 40.508, median values: 0.19574, and quantile values: 0.25 0.056649\n0.50 0.195740\n0.75 0.742390\nName: 356, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6925787812830186, std values: 5.170030128381545, min values: 1.9037e-06, max values: 41.76, median values: 0.2689, and quantile values: 0.25 0.073138\n0.50 0.268900\n0.75 1.103650\nName: 357, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.358792818968931, std values: 4.894712152520548, min values: 9.8516e-07, max values: 39.305, median values: 0.18559, and quantile values: 0.25 0.050994\n0.50 0.185590\n0.75 0.779335\nName: 358, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4234307522406289, std values: 4.873496875055745, min values: 5.7076e-07, max values: 39.287, median values: 0.19046, and quantile values: 0.25 0.052805\n0.50 0.190460\n0.75 0.763145\nName: 359, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.365868534574843, std values: 4.868658731768002, min values: 3.0047e-06, max values: 40.138, median values: 0.20881, and quantile values: 0.25 0.057516\n0.50 0.208810\n0.75 0.680530\nName: 360, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5193517160937107, std values: 4.925316391274795, min values: 5.2671e-06, max values: 40.567, median values: 0.22069, and quantile values: 0.25 0.074242\n0.50 0.220690\n0.75 0.857665\nName: 361, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1797525076557862, std values: 4.37100831815535, min values: 8.7457e-07, max values: 36.621, median values: 0.12024, and quantile values: 0.25 0.038555\n0.50 0.120240\n0.75 0.595990\nName: 362, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4583242602069184, std values: 4.885424963610413, min values: 2.0657e-06, max values: 39.271, median values: 0.21222, and quantile values: 0.25 0.070854\n0.50 0.212220\n0.75 0.858100\nName: 363, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8944804800704402, std values: 5.253495874737278, min values: 2.0316e-06, max values: 42.01, median values: 0.33101, and quantile values: 0.25 0.089841\n0.50 0.331010\n0.75 1.419150\nName: 364, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.471268792243585, std values: 4.825209706634868, min values: 1.9477e-07, max values: 39.613, median values: 0.20851, and quantile values: 0.25 0.050561\n0.50 0.208510\n0.75 0.870415\nName: 365, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5195262035896226, std values: 4.914084437350606, min values: 2.9233e-07, max values: 40.548, median values: 0.19701, and quantile values: 0.25 0.053706\n0.50 0.197010\n0.75 0.931920\nName: 366, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.451352043643396, std values: 5.029774184898361, min values: 3.7185e-07, max values: 43.506, median values: 0.20023, and quantile values: 0.25 0.045829\n0.50 0.200230\n0.75 0.754235\nName: 367, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5237570183150941, std values: 4.8206818601300325, min values: 3.0957e-06, max values: 39.735, median values: 0.24716, and quantile values: 0.25 0.066789\n0.50 0.247160\n0.75 0.928515\nName: 368, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.48722643351761, std values: 5.154114655868246, min values: 2.4444e-06, max values: 42.764, median values: 0.23443, and quantile values: 0.25 0.061182\n0.50 0.234430\n0.75 0.831470\nName: 369, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.372416016145912, std values: 4.718125586664579, min values: 1.5339e-06, max values: 38.705, median values: 0.19923, and quantile values: 0.25 0.059991\n0.50 0.199230\n0.75 0.780240\nName: 370, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2610813755820756, std values: 4.677746979339367, min values: 5.2465e-07, max values: 38.648, median values: 0.15263, and quantile values: 0.25 0.045565\n0.50 0.152630\n0.75 0.693615\nName: 371, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.648354593492893, std values: 5.070591038649016, min values: 4.2447e-07, max values: 41.728, median values: 0.2774, and quantile values: 0.25 0.066354\n0.50 0.277400\n0.75 1.046350\nName: 372, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5750232156874215, std values: 5.235139581716379, min values: 3.0762e-06, max values: 43.537, median values: 0.2348, and quantile values: 0.25 0.063539\n0.50 0.234800\n0.75 0.969190\nName: 373, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4137794335994969, std values: 4.978084762475486, min values: 7.3532e-07, max values: 41.524, median values: 0.21385, and quantile values: 0.25 0.053277\n0.50 0.213850\n0.75 0.748065\nName: 374, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6168544572793084, std values: 4.974571603187383, min values: 9.5921e-07, max values: 39.809, median values: 0.23892, and quantile values: 0.25 0.066009\n0.50 0.238920\n0.75 1.049950\nName: 375, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.599631283369937, std values: 5.177877770514404, min values: 6.3152e-07, max values: 43.96, median values: 0.23264, and quantile values: 0.25 0.056828\n0.50 0.232640\n0.75 1.027100\nName: 376, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5341833706691823, std values: 4.949394605630344, min values: 1.7701e-06, max values: 39.536, median values: 0.23088, and quantile values: 0.25 0.068663\n0.50 0.230880\n0.75 0.977930\nName: 377, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3830586437698114, std values: 4.976043436210502, min values: 3.4323e-06, max values: 40.126, median values: 0.19576, and quantile values: 0.25 0.056381\n0.50 0.195760\n0.75 0.744295\nName: 378, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2276839256577987, std values: 4.506466629556765, min values: 4.3493e-07, max values: 36.793, median values: 0.15022, and quantile values: 0.25 0.042554\n0.50 0.150220\n0.75 0.668315\nName: 379, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.509009760526541, std values: 4.777445984884913, min values: 5.0252e-07, max values: 38.436, median values: 0.23145, and quantile values: 0.25 0.059424\n0.50 0.231450\n0.75 0.955805\nName: 380, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3810648798830818, std values: 4.713405225882163, min values: 8.611e-08, max values: 37.562, median values: 0.19298, and quantile values: 0.25 0.056161\n0.50 0.192980\n0.75 0.807120\nName: 381, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.507756915308742, std values: 4.870960711718358, min values: 9.4379e-07, max values: 38.494, median values: 0.20391, and quantile values: 0.25 0.056108\n0.50 0.203910\n0.75 0.958970\nName: 382, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4675282885383647, std values: 4.861917244509516, min values: 2.2865e-06, max values: 39.362, median values: 0.22837, and quantile values: 0.25 0.063947\n0.50 0.228370\n0.75 0.875720\nName: 383, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6829519528226413, std values: 5.103029384801073, min values: 5.5972e-06, max values: 40.814, median values: 0.29531, and quantile values: 0.25 0.083669\n0.50 0.295310\n0.75 1.036250\nName: 384, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6515389887257863, std values: 5.200006803516733, min values: 1.7443e-06, max values: 43.649, median values: 0.26062, and quantile values: 0.25 0.070461\n0.50 0.260620\n0.75 1.095750\nName: 385, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5081675987663523, std values: 5.099964719763894, min values: 9.7855e-07, max values: 43.293, median values: 0.20515, and quantile values: 0.25 0.056259\n0.50 0.205150\n0.75 0.921655\nName: 386, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7607993262836477, std values: 5.407259517748485, min values: 5.3311e-06, max values: 44.605, median values: 0.28055, and quantile values: 0.25 0.081683\n0.50 0.280550\n0.75 1.132800\nName: 387, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4367312440157232, std values: 5.070315373399812, min values: 2.9686e-06, max values: 41.216, median values: 0.21762, and quantile values: 0.25 0.066969\n0.50 0.217620\n0.75 0.791870\nName: 388, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4349765736861635, std values: 4.978340062183498, min values: 2.3298e-06, max values: 39.907, median values: 0.19054, and quantile values: 0.25 0.058890\n0.50 0.190540\n0.75 0.864705\nName: 389, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4582427469666668, std values: 5.080287857142169, min values: 3.0253e-06, max values: 41.997, median values: 0.21959, and quantile values: 0.25 0.067485\n0.50 0.219590\n0.75 0.799045\nName: 390, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4102042078912582, std values: 4.482880963307051, min values: 3.0721e-07, max values: 36.71, median values: 0.2046, and quantile values: 0.25 0.052252\n0.50 0.204600\n0.75 0.894800\nName: 391, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5312630861459118, std values: 5.132988702491485, min values: 1.2048e-06, max values: 43.929, median values: 0.24182, and quantile values: 0.25 0.065995\n0.50 0.241820\n0.75 0.945315\nName: 392, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4971877359144654, std values: 4.8670597006479595, min values: 6.259e-07, max values: 39.398, median values: 0.22884, and quantile values: 0.25 0.063024\n0.50 0.228840\n0.75 0.955685\nName: 393, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4805877167238992, std values: 4.954877573837565, min values: 1.9228e-06, max values: 39.849, median values: 0.21925, and quantile values: 0.25 0.062402\n0.50 0.219250\n0.75 0.932775\nName: 394, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6133357425318866, std values: 4.840591649712221, min values: 6.4277e-07, max values: 37.749, median values: 0.25833, and quantile values: 0.25 0.074671\n0.50 0.258330\n0.75 1.089500\nName: 395, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.476700417989497, std values: 5.215493252771499, min values: 2.1753e-07, max values: 46.351, median values: 0.19469, and quantile values: 0.25 0.050249\n0.50 0.194690\n0.75 0.858055\nName: 396, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3710959397056603, std values: 5.018443438042421, min values: 1.3719e-06, max values: 42.027, median values: 0.18227, and quantile values: 0.25 0.052575\n0.50 0.182270\n0.75 0.775595\nName: 397, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6473619120471699, std values: 5.111691318982505, min values: 1.2122e-06, max values: 41.402, median values: 0.2547, and quantile values: 0.25 0.070543\n0.50 0.254700\n0.75 1.093250\nName: 398, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5750407484555975, std values: 5.317159572726732, min values: 7.2464e-07, max values: 47.721, median values: 0.22334, and quantile values: 0.25 0.065962\n0.50 0.223340\n0.75 0.966730\nName: 399, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4840143570443396, std values: 4.787004166985357, min values: 1.7645e-07, max values: 37.886, median values: 0.19469, and quantile values: 0.25 0.054852\n0.50 0.194690\n0.75 0.864815\nName: 400, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4361124073289306, std values: 4.957147386502286, min values: 3.5605e-06, max values: 40.078, median values: 0.21577, and quantile values: 0.25 0.061430\n0.50 0.215770\n0.75 0.809845\nName: 401, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5826134345710694, std values: 4.951890603130337, min values: 2.1304e-06, max values: 39.386, median values: 0.2799, and quantile values: 0.25 0.080074\n0.50 0.279900\n0.75 1.044850\nName: 402, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3145387144056604, std values: 4.643135567550554, min values: 2.6572e-06, max values: 40.265, median values: 0.16067, and quantile values: 0.25 0.048066\n0.50 0.160670\n0.75 0.748380\nName: 403, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.376105142627673, std values: 5.027996350279579, min values: 2.6022e-06, max values: 41.211, median values: 0.18232, and quantile values: 0.25 0.055582\n0.50 0.182320\n0.75 0.767255\nName: 404, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5272142823742139, std values: 4.932812421364407, min values: 3.1735e-06, max values: 40.38, median values: 0.2493, and quantile values: 0.25 0.067841\n0.50 0.249300\n0.75 0.921155\nName: 405, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3545978512470316, std values: 4.909094323255514, min values: 1.8478e-08, max values: 40.806, median values: 0.15895, and quantile values: 0.25 0.048449\n0.50 0.158950\n0.75 0.726080\nName: 406, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3823408532706918, std values: 4.726086431116605, min values: 7.5414e-07, max values: 37.376, median values: 0.1839, and quantile values: 0.25 0.057701\n0.50 0.183900\n0.75 0.787260\nName: 407, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2742261109706856, std values: 4.872706283052496, min values: 2.6689e-08, max values: 41.92, median values: 0.17164, and quantile values: 0.25 0.037693\n0.50 0.171640\n0.75 0.641975\nName: 408, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5304784615000002, std values: 5.018047159159442, min values: 4.4161e-06, max values: 40.582, median values: 0.23634, and quantile values: 0.25 0.068558\n0.50 0.236340\n0.75 0.862915\nName: 409, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.60963287598239, std values: 4.901123016930801, min values: 1.468e-06, max values: 38.898, median values: 0.25422, and quantile values: 0.25 0.070516\n0.50 0.254220\n0.75 1.129750\nName: 410, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3058461417632454, std values: 4.670975178491011, min values: 7.6556e-08, max values: 37.478, median values: 0.18576, and quantile values: 0.25 0.051661\n0.50 0.185760\n0.75 0.700995\nName: 411, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3538849928633332, std values: 4.884074445862737, min values: 6.5927e-07, max values: 39.952, median values: 0.1801, and quantile values: 0.25 0.051493\n0.50 0.180100\n0.75 0.734530\nName: 412, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5803603987030816, std values: 4.9082391592967705, min values: 5.4759e-07, max values: 39.395, median values: 0.25185, and quantile values: 0.25 0.068623\n0.50 0.251850\n0.75 1.062500\nName: 413, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8128221029666665, std values: 5.384624501017455, min values: 4.549e-06, max values: 43.395, median values: 0.3226, and quantile values: 0.25 0.097325\n0.50 0.322600\n0.75 1.172850\nName: 414, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5013858880962263, std values: 4.9437226401866505, min values: 2.2743e-06, max values: 40.327, median values: 0.21375, and quantile values: 0.25 0.058584\n0.50 0.213750\n0.75 0.910895\nName: 415, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5473307754597485, std values: 5.0795682907454465, min values: 1.317e-06, max values: 41.145, median values: 0.26584, and quantile values: 0.25 0.068703\n0.50 0.265840\n0.75 0.946015\nName: 416, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5643200931345282, std values: 5.065700169527154, min values: 2.4759e-07, max values: 43.168, median values: 0.22777, and quantile values: 0.25 0.057211\n0.50 0.227770\n0.75 0.947255\nName: 417, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2644401440401885, std values: 4.5095187188744585, min values: 3.1959e-07, max values: 37.935, median values: 0.1785, and quantile values: 0.25 0.044353\n0.50 0.178500\n0.75 0.665285\nName: 418, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7275846052075472, std values: 5.5250963862058455, min values: 5.7721e-06, max values: 45.543, median values: 0.27432, and quantile values: 0.25 0.067071\n0.50 0.274320\n0.75 0.977925\nName: 419, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2530983898943397, std values: 4.824189475553972, min values: 2.2289e-06, max values: 39.158, median values: 0.17052, and quantile values: 0.25 0.04791\n0.50 0.17052\n0.75 0.60967\nName: 420, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7205536570922642, std values: 5.5311866370530725, min values: 4.5027e-07, max values: 50.688, median values: 0.27125, and quantile values: 0.25 0.070765\n0.50 0.271250\n0.75 1.029000\nName: 421, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4569733362603772, std values: 4.830488105660979, min values: 1.0178e-06, max values: 38.473, median values: 0.2326, and quantile values: 0.25 0.065598\n0.50 0.232600\n0.75 0.914005\nName: 422, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5452792425991824, std values: 5.1016186296917745, min values: 3.2717e-07, max values: 43.116, median values: 0.21448, and quantile values: 0.25 0.061055\n0.50 0.214480\n0.75 0.948160\nName: 423, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.514335649011761, std values: 4.876436079600973, min values: 8.7537e-07, max values: 38.995, median values: 0.23753, and quantile values: 0.25 0.071110\n0.50 0.237530\n0.75 0.922245\nName: 424, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6085854078194968, std values: 5.295235296335777, min values: 3.2783e-06, max values: 43.807, median values: 0.23864, and quantile values: 0.25 0.068112\n0.50 0.238640\n0.75 0.963330\nName: 425, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4646975190859748, std values: 4.9289067776227, min values: 6.8857e-07, max values: 40.304, median values: 0.24104, and quantile values: 0.25 0.061988\n0.50 0.241040\n0.75 0.896135\nName: 426, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.806253578806289, std values: 5.41132492924941, min values: 3.2913e-06, max values: 45.675, median values: 0.31323, and quantile values: 0.25 0.097394\n0.50 0.313230\n0.75 1.226700\nName: 427, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5414365893559747, std values: 4.873150867713295, min values: 2.4534e-06, max values: 38.799, median values: 0.22295, and quantile values: 0.25 0.060332\n0.50 0.222950\n0.75 0.941570\nName: 428, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.401429228588868, std values: 4.682047709693219, min values: 8.0883e-07, max values: 37.984, median values: 0.18375, and quantile values: 0.25 0.061345\n0.50 0.183750\n0.75 0.807800\nName: 429, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3719567857981132, std values: 4.776581613010879, min values: 2.7042e-06, max values: 39.404, median values: 0.19228, and quantile values: 0.25 0.062452\n0.50 0.192280\n0.75 0.741760\nName: 430, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3055600508408804, std values: 4.758100259331843, min values: 6.794e-07, max values: 38.824, median values: 0.18816, and quantile values: 0.25 0.054299\n0.50 0.188160\n0.75 0.651765\nName: 431, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.518575009927673, std values: 4.9137088234652255, min values: 3.5114e-06, max values: 39.742, median values: 0.24085, and quantile values: 0.25 0.071304\n0.50 0.240850\n0.75 0.885565\nName: 432, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.445009700009434, std values: 4.966636965190074, min values: 1.1931e-06, max values: 40.151, median values: 0.22688, and quantile values: 0.25 0.061255\n0.50 0.226880\n0.75 0.890980\nName: 433, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.344920137714214, std values: 4.676699236411728, min values: 5.3316e-07, max values: 37.145, median values: 0.17542, and quantile values: 0.25 0.051285\n0.50 0.175420\n0.75 0.828855\nName: 434, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5504440890440252, std values: 5.22073247697449, min values: 5.2597e-06, max values: 41.934, median values: 0.22648, and quantile values: 0.25 0.062251\n0.50 0.226480\n0.75 0.859735\nName: 435, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.400900258040736, std values: 4.914789365340213, min values: 2.4447e-08, max values: 42.089, median values: 0.21573, and quantile values: 0.25 0.048584\n0.50 0.215730\n0.75 0.822220\nName: 436, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5277609790536728, std values: 4.949592578340457, min values: 5.2234e-08, max values: 41.333, median values: 0.22971, and quantile values: 0.25 0.06086\n0.50 0.22971\n0.75 0.98413\nName: 437, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5133494539777046, std values: 4.885268264217731, min values: 2.7295e-08, max values: 40.062, median values: 0.24379, and quantile values: 0.25 0.045001\n0.50 0.243790\n0.75 0.995505\nName: 438, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4714691933578616, std values: 4.753397098929431, min values: 3.2776e-06, max values: 39.131, median values: 0.23277, and quantile values: 0.25 0.079223\n0.50 0.232770\n0.75 0.908520\nName: 439, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4820311549875471, std values: 4.682424258713909, min values: 7.2372e-07, max values: 38.123, median values: 0.22222, and quantile values: 0.25 0.067718\n0.50 0.222220\n0.75 0.962080\nName: 440, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3640787704207546, std values: 4.719660830500204, min values: 3.2606e-06, max values: 40.192, median values: 0.20937, and quantile values: 0.25 0.060315\n0.50 0.209370\n0.75 0.739765\nName: 441, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7183546796748426, std values: 5.1951130234391165, min values: 3.4184e-06, max values: 40.827, median values: 0.28742, and quantile values: 0.25 0.077215\n0.50 0.287420\n0.75 1.104450\nName: 442, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5353476172402514, std values: 4.953983454917632, min values: 3.2141e-06, max values: 39.992, median values: 0.24633, and quantile values: 0.25 0.071829\n0.50 0.246330\n0.75 0.925180\nName: 443, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6100114559584904, std values: 4.891518754376964, min values: 2.2553e-06, max values: 38.815, median values: 0.28553, and quantile values: 0.25 0.071554\n0.50 0.285530\n0.75 1.061350\nName: 444, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5116762109566666, std values: 4.77178615961905, min values: 3.2911e-07, max values: 37.399, median values: 0.24549, and quantile values: 0.25 0.063992\n0.50 0.245490\n0.75 0.993060\nName: 445, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4525998025644653, std values: 4.875663835766937, min values: 6.4575e-07, max values: 39.67, median values: 0.20852, and quantile values: 0.25 0.060119\n0.50 0.208520\n0.75 0.875385\nName: 446, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7812945863106917, std values: 5.537849215603575, min values: 5.8414e-06, max values: 46.065, median values: 0.30718, and quantile values: 0.25 0.074115\n0.50 0.307180\n0.75 1.061450\nName: 447, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4673870135647797, std values: 4.883122941285674, min values: 4.2608e-06, max values: 40.866, median values: 0.22411, and quantile values: 0.25 0.068777\n0.50 0.224110\n0.75 0.810855\nName: 448, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.403980099632956, std values: 4.711670050448978, min values: 6.1704e-07, max values: 37.425, median values: 0.21624, and quantile values: 0.25 0.061841\n0.50 0.216240\n0.75 0.849845\nName: 449, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5736689244484277, std values: 5.2935482177937185, min values: 6.901e-06, max values: 42.798, median values: 0.21163, and quantile values: 0.25 0.076251\n0.50 0.211630\n0.75 0.764615\nName: 450, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4594578065540882, std values: 4.9075899003995325, min values: 1.2991e-06, max values: 39.638, median values: 0.23555, and quantile values: 0.25 0.061969\n0.50 0.235550\n0.75 0.901325\nName: 451, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3741908600116353, std values: 4.80165350578017, min values: 1.9297e-07, max values: 39.831, median values: 0.20052, and quantile values: 0.25 0.052218\n0.50 0.200520\n0.75 0.745975\nName: 452, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4582695000027044, std values: 4.881474081119273, min values: 2.2023e-07, max values: 39.826, median values: 0.19528, and quantile values: 0.25 0.053992\n0.50 0.195280\n0.75 0.912535\nName: 453, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2289084452547798, std values: 4.9906560612189175, min values: 1.2561e-07, max values: 43.52, median values: 0.13043, and quantile values: 0.25 0.037239\n0.50 0.130430\n0.75 0.601490\nName: 454, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7720397601981133, std values: 5.098993110334894, min values: 3.2113e-06, max values: 40.311, median values: 0.30512, and quantile values: 0.25 0.08663\n0.50 0.30512\n0.75 1.25085\nName: 455, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6596468558232709, std values: 5.160645637130777, min values: 2.3267e-06, max values: 41.993, median values: 0.29017, and quantile values: 0.25 0.072244\n0.50 0.290170\n0.75 1.040950\nName: 456, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4553813920449057, std values: 4.799049072296725, min values: 9.6014e-07, max values: 38.321, median values: 0.20311, and quantile values: 0.25 0.063611\n0.50 0.203110\n0.75 0.871860\nName: 457, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4065556298464152, std values: 4.880212459676176, min values: 6.7308e-07, max values: 39.862, median values: 0.20843, and quantile values: 0.25 0.057941\n0.50 0.208430\n0.75 0.827650\nName: 458, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8626858363559748, std values: 5.173978449239328, min values: 3.9294e-06, max values: 39.892, median values: 0.33335, and quantile values: 0.25 0.104185\n0.50 0.333350\n0.75 1.331550\nName: 459, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2819348078415094, std values: 4.823766758595092, min values: 2.3944e-06, max values: 39.81, median values: 0.17118, and quantile values: 0.25 0.049868\n0.50 0.171180\n0.75 0.618945\nName: 460, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3640607306679244, std values: 4.949361122240294, min values: 2.6214e-06, max values: 40.726, median values: 0.1816, and quantile values: 0.25 0.053019\n0.50 0.181600\n0.75 0.763995\nName: 461, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.490337066975849, std values: 4.528899575339816, min values: 6.2456e-07, max values: 37.309, median values: 0.20142, and quantile values: 0.25 0.067406\n0.50 0.201420\n0.75 0.952780\nName: 462, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4063969004094339, std values: 4.886333039766611, min values: 3.0851e-06, max values: 40.108, median values: 0.20866, and quantile values: 0.25 0.064982\n0.50 0.208660\n0.75 0.706265\nName: 463, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5247129641512578, std values: 4.945349019899989, min values: 7.9605e-07, max values: 40.27, median values: 0.25729, and quantile values: 0.25 0.069248\n0.50 0.257290\n0.75 0.905720\nName: 464, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4444838204490564, std values: 4.944252747570437, min values: 1.3637e-06, max values: 41.261, median values: 0.21293, and quantile values: 0.25 0.061999\n0.50 0.212930\n0.75 0.863535\nName: 465, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6594216720345913, std values: 5.086676762110875, min values: 6.417e-07, max values: 41.553, median values: 0.25696, and quantile values: 0.25 0.059684\n0.50 0.256960\n0.75 1.075750\nName: 466, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3533560355559497, std values: 4.600869668518912, min values: 9.3216e-08, max values: 37.074, median values: 0.18311, and quantile values: 0.25 0.047489\n0.50 0.183110\n0.75 0.761380\nName: 467, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4209890715685534, std values: 4.903652422982252, min values: 2.1212e-06, max values: 39.531, median values: 0.20101, and quantile values: 0.25 0.056729\n0.50 0.201010\n0.75 0.829025\nName: 468, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.374998193310629, std values: 4.685513016256793, min values: 3.0819e-07, max values: 37.244, median values: 0.19189, and quantile values: 0.25 0.049644\n0.50 0.191890\n0.75 0.833085\nName: 469, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4720290063099999, std values: 4.950750306075135, min values: 8.9919e-07, max values: 40.566, median values: 0.2476, and quantile values: 0.25 0.065298\n0.50 0.247600\n0.75 0.921320\nName: 470, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.474296085054025, std values: 4.828007452430059, min values: 1.4251e-08, max values: 40.582, median values: 0.16928, and quantile values: 0.25 0.030751\n0.50 0.169280\n0.75 0.865940\nName: 471, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3891951687650945, std values: 4.6899700619110005, min values: 4.3295e-07, max values: 37.635, median values: 0.19846, and quantile values: 0.25 0.057039\n0.50 0.198460\n0.75 0.814330\nName: 472, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.423027761819497, std values: 4.943722233943632, min values: 2.281e-06, max values: 40.105, median values: 0.21035, and quantile values: 0.25 0.057385\n0.50 0.210350\n0.75 0.801190\nName: 473, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4123216383179245, std values: 4.716838178061548, min values: 9.3185e-07, max values: 39.221, median values: 0.21113, and quantile values: 0.25 0.057561\n0.50 0.211130\n0.75 0.862145\nName: 474, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8642644173201257, std values: 5.44526274988007, min values: 8.1919e-06, max values: 41.617, median values: 0.30525, and quantile values: 0.25 0.082704\n0.50 0.305250\n0.75 1.140650\nName: 475, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4165237312147798, std values: 4.906403208459563, min values: 2.2145e-07, max values: 40.953, median values: 0.20097, and quantile values: 0.25 0.057545\n0.50 0.200970\n0.75 0.789075\nName: 476, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5594709186805658, std values: 4.9651576289399415, min values: 7.5291e-07, max values: 40.114, median values: 0.2339, and quantile values: 0.25 0.072012\n0.50 0.233900\n0.75 0.992500\nName: 477, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.752546967825346, std values: 5.077470265662952, min values: 9.7753e-07, max values: 39.913, median values: 0.31567, and quantile values: 0.25 0.078348\n0.50 0.315670\n0.75 1.252400\nName: 478, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2162845876850314, std values: 4.473165694648041, min values: 3.7702e-07, max values: 37.466, median values: 0.16349, and quantile values: 0.25 0.046419\n0.50 0.163490\n0.75 0.655010\nName: 479, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4029104269157233, std values: 4.782739166131979, min values: 1.2959e-06, max values: 37.944, median values: 0.20726, and quantile values: 0.25 0.073423\n0.50 0.207260\n0.75 0.807350\nName: 480, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.554324960737107, std values: 4.824501927277216, min values: 1.2938e-06, max values: 38.607, median values: 0.26158, and quantile values: 0.25 0.063665\n0.50 0.261580\n0.75 1.005795\nName: 481, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7158477404496855, std values: 5.2000311662304295, min values: 3.2473e-06, max values: 41.504, median values: 0.30102, and quantile values: 0.25 0.079651\n0.50 0.301020\n0.75 1.111800\nName: 482, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4566996616025154, std values: 4.854586089929581, min values: 1.4616e-06, max values: 39.359, median values: 0.22164, and quantile values: 0.25 0.064317\n0.50 0.221640\n0.75 0.916460\nName: 483, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4011884320881132, std values: 4.743951243264956, min values: 4.3901e-07, max values: 37.803, median values: 0.21407, and quantile values: 0.25 0.054921\n0.50 0.214070\n0.75 0.814075\nName: 484, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4507081934886792, std values: 4.785920366632722, min values: 1.0665e-06, max values: 38.683, median values: 0.22234, and quantile values: 0.25 0.066418\n0.50 0.222340\n0.75 0.941125\nName: 485, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7808400106509434, std values: 5.150159037751659, min values: 4.6853e-06, max values: 39.387, median values: 0.30663, and quantile values: 0.25 0.100412\n0.50 0.306630\n0.75 1.156750\nName: 486, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4615771381974842, std values: 5.028327613182005, min values: 0.0, max values: 41.754, median values: 0.19835, and quantile values: 0.25 0.063653\n0.50 0.198350\n0.75 0.838040\nName: 487, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6193854783786166, std values: 4.905867155582884, min values: 4.4306e-06, max values: 39.873, median values: 0.25602, and quantile values: 0.25 0.075133\n0.50 0.256020\n0.75 1.048390\nName: 488, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6824475452044023, std values: 5.090337624447526, min values: 1.7694e-06, max values: 41.373, median values: 0.2872, and quantile values: 0.25 0.076505\n0.50 0.287200\n0.75 1.137150\nName: 489, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.664453381218239, std values: 5.016902080990205, min values: 2.0389e-06, max values: 39.658, median values: 0.26744, and quantile values: 0.25 0.074363\n0.50 0.267440\n0.75 1.072250\nName: 490, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5515432242277358, std values: 4.991325779584623, min values: 1.3571e-07, max values: 41.801, median values: 0.2209, and quantile values: 0.25 0.058626\n0.50 0.220900\n0.75 0.965550\nName: 491, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4164627382280506, std values: 4.954977195590838, min values: 2.7236e-07, max values: 41.244, median values: 0.18304, and quantile values: 0.25 0.062749\n0.50 0.183040\n0.75 0.730560\nName: 492, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3337877556308175, std values: 4.791668791486604, min values: 2.4544e-06, max values: 40.204, median values: 0.16974, and quantile values: 0.25 0.059427\n0.50 0.169740\n0.75 0.706085\nName: 493, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5071311909031446, std values: 4.88014451047255, min values: 2.6456e-06, max values: 39.799, median values: 0.24981, and quantile values: 0.25 0.071907\n0.50 0.249810\n0.75 1.027600\nName: 494, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2757472406919432, std values: 4.693435709867097, min values: 1.9519e-08, max values: 38.11, median values: 0.17784, and quantile values: 0.25 0.044229\n0.50 0.177840\n0.75 0.718775\nName: 495, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3493917361987422, std values: 4.7573407606544675, min values: 2.2143e-06, max values: 40.095, median values: 0.1819, and quantile values: 0.25 0.052688\n0.50 0.181900\n0.75 0.741895\nName: 496, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7006619576584907, std values: 4.924572927370428, min values: 2.5019e-06, max values: 39.401, median values: 0.29905, and quantile values: 0.25 0.083471\n0.50 0.299050\n0.75 1.200100\nName: 497, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3914869011479247, std values: 5.283877087656045, min values: 4.7252e-07, max values: 47.827, median values: 0.17564, and quantile values: 0.25 0.048498\n0.50 0.175640\n0.75 0.707815\nName: 498, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3710714944308176, std values: 4.916615857729053, min values: 1.6323e-06, max values: 39.833, median values: 0.18541, and quantile values: 0.25 0.049508\n0.50 0.185410\n0.75 0.741435\nName: 499, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4749370093402516, std values: 4.860561137230606, min values: 2.2953e-06, max values: 39.069, median values: 0.24125, and quantile values: 0.25 0.065371\n0.50 0.241250\n0.75 0.920305\nName: 500, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.658113582444654, std values: 5.275971171635499, min values: 1.9749e-06, max values: 44.801, median values: 0.26122, and quantile values: 0.25 0.070038\n0.50 0.261220\n0.75 1.035350\nName: 501, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4489067202144654, std values: 4.976893545087134, min values: 5.1217e-06, max values: 41.269, median values: 0.20796, and quantile values: 0.25 0.057314\n0.50 0.207960\n0.75 0.749290\nName: 502, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5273581396567295, std values: 4.907733477029786, min values: 4.7162e-07, max values: 39.75, median values: 0.22737, and quantile values: 0.25 0.066152\n0.50 0.227370\n0.75 0.907550\nName: 503, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3301054129295597, std values: 4.680493082374444, min values: 2.2508e-06, max values: 39.306, median values: 0.20943, and quantile values: 0.25 0.062212\n0.50 0.209430\n0.75 0.811450\nName: 504, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.566321471378616, std values: 4.885571505617236, min values: 1.082e-06, max values: 38.199, median values: 0.22139, and quantile values: 0.25 0.060030\n0.50 0.221390\n0.75 1.018675\nName: 505, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3390431241396228, std values: 4.754667436417406, min values: 2.3027e-06, max values: 39.429, median values: 0.18023, and quantile values: 0.25 0.053638\n0.50 0.180230\n0.75 0.772545\nName: 506, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3423306177792453, std values: 4.948811273097105, min values: 1.1253e-06, max values: 41.195, median values: 0.16943, and quantile values: 0.25 0.046940\n0.50 0.169430\n0.75 0.736085\nName: 507, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.531976227623459, std values: 4.857333350452446, min values: 6.6973e-07, max values: 38.41, median values: 0.2304, and quantile values: 0.25 0.065710\n0.50 0.230400\n0.75 0.997175\nName: 508, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5037528508218239, std values: 4.828075226634137, min values: 3.1887e-07, max values: 38.234, median values: 0.23107, and quantile values: 0.25 0.058149\n0.50 0.231070\n0.75 0.916060\nName: 509, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3516000521993081, std values: 4.725481595321596, min values: 1.7729e-07, max values: 37.613, median values: 0.18431, and quantile values: 0.25 0.046667\n0.50 0.184310\n0.75 0.729645\nName: 510, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5879064181867923, std values: 4.866899152468307, min values: 2.6587e-06, max values: 39.277, median values: 0.29974, and quantile values: 0.25 0.076489\n0.50 0.299740\n0.75 1.008720\nName: 511, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4645375297238994, std values: 5.167862949709596, min values: 2.6061e-06, max values: 42.901, median values: 0.20071, and quantile values: 0.25 0.059125\n0.50 0.200710\n0.75 0.818415\nName: 512, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7036869905050316, std values: 5.083116419206029, min values: 2.1033e-06, max values: 39.858, median values: 0.30534, and quantile values: 0.25 0.08789\n0.50 0.30534\n0.75 1.12100\nName: 513, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4855460289339621, std values: 5.146572726165447, min values: 2.0426e-06, max values: 43.929, median values: 0.23886, and quantile values: 0.25 0.061768\n0.50 0.238860\n0.75 0.887245\nName: 514, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6497082295308176, std values: 5.105518485041065, min values: 2.6595e-06, max values: 40.505, median values: 0.24359, and quantile values: 0.25 0.070879\n0.50 0.243590\n0.75 1.099800\nName: 515, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.29894110268805, std values: 4.815808276843067, min values: 1.2334e-06, max values: 38.864, median values: 0.18145, and quantile values: 0.25 0.047243\n0.50 0.181450\n0.75 0.688145\nName: 516, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7430078052540883, std values: 5.17474722474757, min values: 3.3773e-06, max values: 41.637, median values: 0.31972, and quantile values: 0.25 0.076656\n0.50 0.319720\n0.75 1.260750\nName: 517, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4015969115069182, std values: 4.898469483594319, min values: 8.434e-07, max values: 39.816, median values: 0.21468, and quantile values: 0.25 0.067632\n0.50 0.214680\n0.75 0.739475\nName: 518, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2848696558128931, std values: 4.740887731114997, min values: 3.1395e-07, max values: 38.262, median values: 0.16831, and quantile values: 0.25 0.048293\n0.50 0.168310\n0.75 0.720450\nName: 519, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3919227001433963, std values: 4.809719967098838, min values: 3.1112e-06, max values: 40.335, median values: 0.20646, and quantile values: 0.25 0.059159\n0.50 0.206460\n0.75 0.802850\nName: 520, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4818720454589371, std values: 4.946120282674427, min values: 2.5371e-08, max values: 41.822, median values: 0.23642, and quantile values: 0.25 0.044978\n0.50 0.236420\n0.75 0.928045\nName: 521, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7447689925515724, std values: 5.454215508773937, min values: 4.8131e-06, max values: 44.78, median values: 0.29168, and quantile values: 0.25 0.078402\n0.50 0.291680\n0.75 1.061550\nName: 522, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6021977840684403, std values: 4.840250497358403, min values: 2.7982e-08, max values: 37.967, median values: 0.27316, and quantile values: 0.25 0.067393\n0.50 0.273160\n0.75 1.111250\nName: 523, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3266748025444024, std values: 5.049569557870852, min values: 7.7056e-07, max values: 43.44, median values: 0.1704, and quantile values: 0.25 0.050584\n0.50 0.170400\n0.75 0.731485\nName: 524, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5343064278578615, std values: 5.058092036374867, min values: 3.0119e-06, max values: 40.583, median values: 0.22316, and quantile values: 0.25 0.059409\n0.50 0.223160\n0.75 0.950510\nName: 525, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6366882586427673, std values: 5.172928287802938, min values: 3.0079e-06, max values: 41.762, median values: 0.26248, and quantile values: 0.25 0.073899\n0.50 0.262480\n0.75 1.122600\nName: 526, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3053398552777988, std values: 4.92237263126343, min values: 9.2577e-07, max values: 40.801, median values: 0.14817, and quantile values: 0.25 0.050575\n0.50 0.148170\n0.75 0.663965\nName: 527, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4260184220503145, std values: 4.889311352200904, min values: 1.0489e-06, max values: 39.762, median values: 0.19399, and quantile values: 0.25 0.064872\n0.50 0.193990\n0.75 0.790550\nName: 528, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4125612882148428, std values: 4.676458817296207, min values: 4.9296e-07, max values: 37.932, median values: 0.21784, and quantile values: 0.25 0.058325\n0.50 0.217840\n0.75 0.852855\nName: 529, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5229819946245282, std values: 4.917753658783683, min values: 2.5272e-06, max values: 39.217, median values: 0.25558, and quantile values: 0.25 0.072048\n0.50 0.255580\n0.75 0.966365\nName: 530, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.289508247806604, std values: 4.723480858546429, min values: 1.9935e-07, max values: 38.47, median values: 0.17582, and quantile values: 0.25 0.046491\n0.50 0.175820\n0.75 0.672565\nName: 531, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.479773028536981, std values: 4.627194545642396, min values: 7.5388e-07, max values: 38.153, median values: 0.23394, and quantile values: 0.25 0.065197\n0.50 0.233940\n0.75 1.002235\nName: 532, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.561612720254717, std values: 5.082985642162492, min values: 2.1489e-06, max values: 41.338, median values: 0.26235, and quantile values: 0.25 0.074849\n0.50 0.262350\n0.75 0.988995\nName: 533, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5248729840991444, std values: 4.886482990804916, min values: 2.5868e-08, max values: 40.796, median values: 0.22269, and quantile values: 0.25 0.047607\n0.50 0.222690\n0.75 0.975530\nName: 534, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6103338198307546, std values: 4.7871491235871835, min values: 9.2509e-07, max values: 37.64, median values: 0.27664, and quantile values: 0.25 0.077281\n0.50 0.276640\n0.75 1.106995\nName: 535, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6520669434679247, std values: 4.93505755508554, min values: 2.7949e-06, max values: 39.65, median values: 0.27799, and quantile values: 0.25 0.075793\n0.50 0.277990\n0.75 1.145650\nName: 536, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.47557700533522, std values: 4.8043287272673165, min values: 1.1381e-06, max values: 38.341, median values: 0.22697, and quantile values: 0.25 0.068351\n0.50 0.226970\n0.75 0.891635\nName: 537, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3208712517456667, std values: 4.770000145403495, min values: 2.1071e-08, max values: 40.018, median values: 0.14931, and quantile values: 0.25 0.033707\n0.50 0.149310\n0.75 0.647475\nName: 538, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.720208186192453, std values: 5.012451713265274, min values: 1.9207e-06, max values: 38.705, median values: 0.27885, and quantile values: 0.25 0.081158\n0.50 0.278850\n0.75 1.250300\nName: 539, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7368436474641507, std values: 5.1992867867145085, min values: 3.6111e-06, max values: 40.269, median values: 0.29203, and quantile values: 0.25 0.076909\n0.50 0.292030\n0.75 1.224100\nName: 540, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.496413832318868, std values: 4.91783515659206, min values: 2.572e-06, max values: 39.409, median values: 0.21051, and quantile values: 0.25 0.066969\n0.50 0.210510\n0.75 0.918065\nName: 541, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4833773132828239, std values: 4.585088935655102, min values: 3.0629e-08, max values: 36.645, median values: 0.19861, and quantile values: 0.25 0.050373\n0.50 0.198610\n0.75 0.895855\nName: 542, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3933797635289307, std values: 4.721566537049657, min values: 1.7223e-06, max values: 39.871, median values: 0.20489, and quantile values: 0.25 0.059859\n0.50 0.204890\n0.75 0.864335\nName: 543, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.308609881380302, std values: 4.415235058801256, min values: 2.0288e-08, max values: 36.718, median values: 0.16023, and quantile values: 0.25 0.041099\n0.50 0.160230\n0.75 0.709010\nName: 544, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.61053099535283, std values: 4.81813473406791, min values: 1.048e-06, max values: 38.207, median values: 0.29057, and quantile values: 0.25 0.074405\n0.50 0.290570\n0.75 1.116050\nName: 545, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.778315200657799, std values: 5.062237697852428, min values: 5.3489e-07, max values: 39.91, median values: 0.31537, and quantile values: 0.25 0.076663\n0.50 0.315370\n0.75 1.321100\nName: 546, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6573216299933964, std values: 4.987608755435454, min values: 6.7075e-07, max values: 39.302, median values: 0.25022, and quantile values: 0.25 0.069908\n0.50 0.250220\n0.75 1.129490\nName: 547, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6328063983389935, std values: 5.067688778968986, min values: 1.2792e-06, max values: 40.84, median values: 0.28121, and quantile values: 0.25 0.074314\n0.50 0.281210\n0.75 1.077050\nName: 548, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6596173746050316, std values: 5.096845701905938, min values: 1.3241e-06, max values: 41.292, median values: 0.27484, and quantile values: 0.25 0.077039\n0.50 0.274840\n0.75 1.054005\nName: 549, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5042392558459121, std values: 5.005533766334494, min values: 3.9994e-06, max values: 39.751, median values: 0.22857, and quantile values: 0.25 0.071371\n0.50 0.228570\n0.75 0.858485\nName: 550, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4791853322176103, std values: 5.079556854343416, min values: 2.2458e-06, max values: 41.335, median values: 0.21217, and quantile values: 0.25 0.06059\n0.50 0.21217\n0.75 0.85862\nName: 551, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4211028818321383, std values: 4.962938084567874, min values: 6.5631e-07, max values: 41.386, median values: 0.18223, and quantile values: 0.25 0.050197\n0.50 0.182230\n0.75 0.790140\nName: 552, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5350189198238993, std values: 4.8467699910091575, min values: 1.3371e-06, max values: 39.207, median values: 0.23044, and quantile values: 0.25 0.069864\n0.50 0.230440\n0.75 0.988470\nName: 553, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3927594830919496, std values: 4.774104501675516, min values: 6.2762e-07, max values: 38.903, median values: 0.20194, and quantile values: 0.25 0.052351\n0.50 0.201940\n0.75 0.836510\nName: 554, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6789943359674842, std values: 5.015409153608949, min values: 2.8393e-07, max values: 40.757, median values: 0.29578, and quantile values: 0.25 0.067422\n0.50 0.295780\n0.75 1.101650\nName: 555, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7210574587327043, std values: 5.279945202217532, min values: 2.1548e-06, max values: 43.529, median values: 0.28578, and quantile values: 0.25 0.079971\n0.50 0.285780\n0.75 1.132250\nName: 556, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2397586514365406, std values: 4.6293604175674306, min values: 4.827e-08, max values: 36.991, median values: 0.16722, and quantile values: 0.25 0.042223\n0.50 0.167220\n0.75 0.609760\nName: 557, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.459324544662264, std values: 5.038857355013978, min values: 4.3344e-06, max values: 41.109, median values: 0.19818, and quantile values: 0.25 0.060423\n0.50 0.198180\n0.75 0.792110\nName: 558, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2833157110298745, std values: 4.546899753177249, min values: 5.9355e-07, max values: 38.39, median values: 0.15491, and quantile values: 0.25 0.051233\n0.50 0.154910\n0.75 0.733060\nName: 559, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4602442291339623, std values: 4.681279974396715, min values: 2.0643e-06, max values: 39.066, median values: 0.19678, and quantile values: 0.25 0.061901\n0.50 0.196780\n0.75 0.885260\nName: 560, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4576171222421384, std values: 5.213564149048899, min values: 1.3089e-06, max values: 46.164, median values: 0.1926, and quantile values: 0.25 0.062807\n0.50 0.192600\n0.75 0.832630\nName: 561, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2678651059559118, std values: 4.647519328042486, min values: 5.5586e-07, max values: 37.247, median values: 0.15925, and quantile values: 0.25 0.042107\n0.50 0.159250\n0.75 0.646315\nName: 562, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.315775965555975, std values: 4.863881075287526, min values: 1.6963e-06, max values: 39.753, median values: 0.16407, and quantile values: 0.25 0.050431\n0.50 0.164070\n0.75 0.713990\nName: 563, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3306603747100627, std values: 4.720727741937174, min values: 1.4155e-06, max values: 39.097, median values: 0.1918, and quantile values: 0.25 0.060757\n0.50 0.191800\n0.75 0.781560\nName: 564, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4957725790660377, std values: 5.01772430421892, min values: 4.4099e-06, max values: 40.422, median values: 0.21018, and quantile values: 0.25 0.061500\n0.50 0.210180\n0.75 0.793875\nName: 565, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3631341815995912, std values: 4.521364668977214, min values: 1.4827e-08, max values: 35.369, median values: 0.15468, and quantile values: 0.25 0.032210\n0.50 0.154680\n0.75 0.751705\nName: 566, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4242096197061636, std values: 4.79132905809259, min values: 8.3468e-07, max values: 38.396, median values: 0.20984, and quantile values: 0.25 0.063704\n0.50 0.209840\n0.75 0.829730\nName: 567, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3480398741451698, std values: 4.693611290124618, min values: 1.4887e-08, max values: 38.348, median values: 0.16687, and quantile values: 0.25 0.038952\n0.50 0.166870\n0.75 0.671030\nName: 568, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4685228534201258, std values: 4.880545282957234, min values: 2.7249e-06, max values: 39.753, median values: 0.2201, and quantile values: 0.25 0.067415\n0.50 0.220100\n0.75 0.904490\nName: 569, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4435749775163522, std values: 4.665129242828396, min values: 2.0491e-06, max values: 38.343, median values: 0.24426, and quantile values: 0.25 0.064322\n0.50 0.244260\n0.75 0.911040\nName: 570, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2959892661571697, std values: 4.743414703613844, min values: 8.6329e-07, max values: 38.71, median values: 0.14346, and quantile values: 0.25 0.046554\n0.50 0.143460\n0.75 0.652445\nName: 571, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3379434142754718, std values: 4.827246869749069, min values: 1.5282e-06, max values: 39.024, median values: 0.18093, and quantile values: 0.25 0.054011\n0.50 0.180930\n0.75 0.729425\nName: 572, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.527817434245283, std values: 5.02709236610649, min values: 3.6142e-06, max values: 40.689, median values: 0.24298, and quantile values: 0.25 0.074167\n0.50 0.242980\n0.75 0.871010\nName: 573, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8333437088962263, std values: 5.217107625806042, min values: 3.5072e-06, max values: 40.678, median values: 0.30877, and quantile values: 0.25 0.090638\n0.50 0.308770\n0.75 1.354350\nName: 574, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4968211795175408, std values: 4.7969802518325455, min values: 1.8635e-08, max values: 39.154, median values: 0.18584, and quantile values: 0.25 0.041348\n0.50 0.185840\n0.75 0.843320\nName: 575, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5919103874862262, std values: 4.775790519858713, min values: 8.2721e-07, max values: 37.509, median values: 0.27569, and quantile values: 0.25 0.083831\n0.50 0.275690\n0.75 1.081250\nName: 576, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4299260942237673, std values: 4.609698636833326, min values: 3.6189e-08, max values: 36.363, median values: 0.20978, and quantile values: 0.25 0.050788\n0.50 0.209780\n0.75 0.910695\nName: 577, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4749810893320756, std values: 4.9451217805754135, min values: 4.185e-07, max values: 41.584, median values: 0.23405, and quantile values: 0.25 0.071323\n0.50 0.234050\n0.75 0.876840\nName: 578, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1151983489830188, std values: 4.365290370515684, min values: 1.305e-06, max values: 38.602, median values: 0.15691, and quantile values: 0.25 0.041295\n0.50 0.156910\n0.75 0.546550\nName: 579, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.391308349245912, std values: 4.904198220114702, min values: 1.7477e-06, max values: 40.648, median values: 0.1734, and quantile values: 0.25 0.056508\n0.50 0.173400\n0.75 0.756325\nName: 580, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6748015863889307, std values: 5.15068424975091, min values: 6.4864e-07, max values: 42.589, median values: 0.27249, and quantile values: 0.25 0.071565\n0.50 0.272490\n0.75 1.081050\nName: 581, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6407470482207547, std values: 5.125710967228991, min values: 1.5103e-06, max values: 41.81, median values: 0.2611, and quantile values: 0.25 0.073066\n0.50 0.261100\n0.75 1.116750\nName: 582, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.497184207455409, std values: 4.8827423458756005, min values: 3.3441e-07, max values: 40.079, median values: 0.25172, and quantile values: 0.25 0.057573\n0.50 0.251720\n0.75 0.976850\nName: 583, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4770204513754719, std values: 4.784463507913144, min values: 4.702e-06, max values: 40.161, median values: 0.2123, and quantile values: 0.25 0.073464\n0.50 0.212300\n0.75 0.699825\nName: 584, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4422844590830188, std values: 4.795763745181388, min values: 3.1388e-06, max values: 40.124, median values: 0.20024, and quantile values: 0.25 0.069126\n0.50 0.200240\n0.75 0.843670\nName: 585, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.729750289347799, std values: 5.075232180335279, min values: 1.1859e-06, max values: 40.837, median values: 0.31201, and quantile values: 0.25 0.07679\n0.50 0.31201\n0.75 1.20685\nName: 586, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5417922228289307, std values: 5.051094401044925, min values: 1.601e-06, max values: 41.457, median values: 0.24249, and quantile values: 0.25 0.072266\n0.50 0.242490\n0.75 0.926000\nName: 587, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.33959429310044, std values: 4.8520484253922, min values: 2.8737e-07, max values: 40.655, median values: 0.14855, and quantile values: 0.25 0.043466\n0.50 0.148550\n0.75 0.776670\nName: 588, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3030004711603773, std values: 4.687704410551978, min values: 1.7532e-06, max values: 39.058, median values: 0.18423, and quantile values: 0.25 0.055259\n0.50 0.184230\n0.75 0.712080\nName: 589, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.519733584687673, std values: 5.009055401403045, min values: 1.8164e-07, max values: 42.006, median values: 0.20715, and quantile values: 0.25 0.058225\n0.50 0.207150\n0.75 0.907655\nName: 590, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7400541964817609, std values: 5.250697541038802, min values: 6.6138e-06, max values: 41.042, median values: 0.30328, and quantile values: 0.25 0.085769\n0.50 0.303280\n0.75 1.098600\nName: 591, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.384808529706918, std values: 4.724715442775534, min values: 1.2524e-06, max values: 38.544, median values: 0.19104, and quantile values: 0.25 0.067308\n0.50 0.191040\n0.75 0.809910\nName: 592, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4831280597937107, std values: 4.8529869891734725, min values: 4.3849e-06, max values: 40.827, median values: 0.23491, and quantile values: 0.25 0.073048\n0.50 0.234910\n0.75 0.843670\nName: 593, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6041180778163522, std values: 5.3097733429017415, min values: 8.0058e-06, max values: 42.957, median values: 0.24612, and quantile values: 0.25 0.069486\n0.50 0.246120\n0.75 0.862135\nName: 594, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6119169348308178, std values: 5.166758945913767, min values: 4.3307e-06, max values: 41.712, median values: 0.25673, and quantile values: 0.25 0.072773\n0.50 0.256730\n0.75 1.017800\nName: 595, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5855464753477988, std values: 4.8957736566379495, min values: 1.5395e-06, max values: 39.484, median values: 0.25019, and quantile values: 0.25 0.07143\n0.50 0.25019\n0.75 1.09725\nName: 596, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5657139678528302, std values: 4.9169453575646624, min values: 1.9175e-06, max values: 38.851, median values: 0.25037, and quantile values: 0.25 0.072118\n0.50 0.250370\n0.75 1.014150\nName: 597, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5328267464559748, std values: 4.9610357403656025, min values: 1.3222e-06, max values: 39.964, median values: 0.21444, and quantile values: 0.25 0.07079\n0.50 0.21444\n0.75 0.91269\nName: 598, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7375057124081132, std values: 4.953302614219633, min values: 7.0799e-07, max values: 37.935, median values: 0.26065, and quantile values: 0.25 0.074224\n0.50 0.260650\n0.75 1.220950\nName: 599, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5251106945327044, std values: 5.117368853117641, min values: 3.1048e-06, max values: 41.604, median values: 0.21399, and quantile values: 0.25 0.066249\n0.50 0.213990\n0.75 0.939630\nName: 600, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.470006651462893, std values: 4.779363400142541, min values: 2.3522e-06, max values: 38.836, median values: 0.2202, and quantile values: 0.25 0.062754\n0.50 0.220200\n0.75 0.885505\nName: 601, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5908114411974843, std values: 5.037306115510886, min values: 2.3103e-06, max values: 40.2, median values: 0.27332, and quantile values: 0.25 0.072993\n0.50 0.273320\n0.75 0.992530\nName: 602, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7462994817893083, std values: 5.189031218065512, min values: 4.876e-06, max values: 41.202, median values: 0.27763, and quantile values: 0.25 0.077885\n0.50 0.277630\n0.75 1.068700\nName: 603, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4016694785132076, std values: 5.137129555070958, min values: 1.8907e-06, max values: 44.214, median values: 0.18482, and quantile values: 0.25 0.058055\n0.50 0.184820\n0.75 0.766725\nName: 604, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2907651764969812, std values: 4.752171518289006, min values: 4.1512e-07, max values: 38.449, median values: 0.1662, and quantile values: 0.25 0.043014\n0.50 0.166200\n0.75 0.719995\nName: 605, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3273291989559748, std values: 4.769659555723168, min values: 2.3928e-06, max values: 40.507, median values: 0.19421, and quantile values: 0.25 0.060587\n0.50 0.194210\n0.75 0.676560\nName: 606, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5969303356156603, std values: 4.91642533858516, min values: 4.7059e-07, max values: 39.148, median values: 0.25568, and quantile values: 0.25 0.065775\n0.50 0.255680\n0.75 1.084400\nName: 607, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4955916576930817, std values: 5.10245427898001, min values: 1.232e-06, max values: 42.494, median values: 0.22424, and quantile values: 0.25 0.055179\n0.50 0.224240\n0.75 0.924175\nName: 608, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.758218749210063, std values: 5.035838801379998, min values: 2.7941e-06, max values: 39.866, median values: 0.31989, and quantile values: 0.25 0.08086\n0.50 0.31989\n0.75 1.20090\nName: 609, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4701274509990563, std values: 4.933093303838174, min values: 1.7885e-07, max values: 40.488, median values: 0.2326, and quantile values: 0.25 0.058702\n0.50 0.232600\n0.75 0.873720\nName: 610, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6799366079951568, std values: 5.125289398328177, min values: 3.8233e-07, max values: 42.675, median values: 0.24634, and quantile values: 0.25 0.06086\n0.50 0.24634\n0.75 1.09240\nName: 611, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3995993122031447, std values: 4.941718485403039, min values: 1.5043e-06, max values: 40.548, median values: 0.20299, and quantile values: 0.25 0.051255\n0.50 0.202990\n0.75 0.729590\nName: 612, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3537775078145913, std values: 4.971980012147736, min values: 9.6712e-07, max values: 42.055, median values: 0.16903, and quantile values: 0.25 0.057595\n0.50 0.169030\n0.75 0.734375\nName: 613, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5768573748874215, std values: 4.919220938946867, min values: 4.9453e-06, max values: 40.444, median values: 0.27055, and quantile values: 0.25 0.080156\n0.50 0.270550\n0.75 0.950410\nName: 614, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.421247313341698, std values: 4.860060444045044, min values: 2.4873e-07, max values: 40.122, median values: 0.18568, and quantile values: 0.25 0.053161\n0.50 0.185680\n0.75 0.828545\nName: 615, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4044734715069185, std values: 5.021623921008957, min values: 1.4364e-06, max values: 41.423, median values: 0.20177, and quantile values: 0.25 0.061897\n0.50 0.201770\n0.75 0.803350\nName: 616, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.665978492124528, std values: 5.009016601215197, min values: 1.2078e-06, max values: 39.494, median values: 0.28398, and quantile values: 0.25 0.079593\n0.50 0.283980\n0.75 1.154500\nName: 617, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.364792751538371, std values: 4.482015210529102, min values: 2.0701e-08, max values: 36.54, median values: 0.1591, and quantile values: 0.25 0.050876\n0.50 0.159100\n0.75 0.795780\nName: 618, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3881697232301886, std values: 4.879754619795874, min values: 2.4344e-06, max values: 39.677, median values: 0.20658, and quantile values: 0.25 0.059731\n0.50 0.206580\n0.75 0.841340\nName: 619, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6031848921943397, std values: 5.113373924742585, min values: 1.0982e-06, max values: 41.362, median values: 0.23959, and quantile values: 0.25 0.061117\n0.50 0.239590\n0.75 1.085700\nName: 620, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4644020607358492, std values: 4.837189317893071, min values: 1.2006e-06, max values: 38.35, median values: 0.24145, and quantile values: 0.25 0.067644\n0.50 0.241450\n0.75 0.937075\nName: 621, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4309242941459117, std values: 4.970813977036655, min values: 1.3333e-06, max values: 40.511, median values: 0.20262, and quantile values: 0.25 0.060577\n0.50 0.202620\n0.75 0.823370\nName: 622, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5569302029691827, std values: 4.91322866775966, min values: 1.1616e-06, max values: 38.938, median values: 0.26205, and quantile values: 0.25 0.068138\n0.50 0.262050\n0.75 1.035100\nName: 623, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5768430987813586, std values: 4.974135074411456, min values: 2.3836e-08, max values: 41.304, median values: 0.26433, and quantile values: 0.25 0.066499\n0.50 0.264330\n0.75 1.068850\nName: 624, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6442271251500629, std values: 5.274859216072648, min values: 8.8676e-07, max values: 46.193, median values: 0.27833, and quantile values: 0.25 0.073857\n0.50 0.278330\n0.75 1.135300\nName: 625, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4933932177456541, std values: 4.8555824582935605, min values: 2.7259e-08, max values: 39.089, median values: 0.18814, and quantile values: 0.25 0.048795\n0.50 0.188140\n0.75 0.856870\nName: 626, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4519411148389938, std values: 5.09084671310693, min values: 2.893e-06, max values: 40.816, median values: 0.20092, and quantile values: 0.25 0.055947\n0.50 0.200920\n0.75 0.836560\nName: 627, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.520783281864151, std values: 5.012193253999507, min values: 4.1353e-06, max values: 40.497, median values: 0.24239, and quantile values: 0.25 0.074097\n0.50 0.242390\n0.75 0.866065\nName: 628, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4159110088314466, std values: 5.0086889175807965, min values: 1.6726e-06, max values: 41.49, median values: 0.19882, and quantile values: 0.25 0.056376\n0.50 0.198820\n0.75 0.798370\nName: 629, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6522503329710692, std values: 4.986852381788071, min values: 3.6722e-06, max values: 39.792, median values: 0.25719, and quantile values: 0.25 0.082817\n0.50 0.257190\n0.75 1.034100\nName: 630, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4081655418345913, std values: 4.898853408311131, min values: 2.4908e-06, max values: 39.972, median values: 0.20826, and quantile values: 0.25 0.062527\n0.50 0.208260\n0.75 0.831370\nName: 631, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.467112147261132, std values: 4.802484812859708, min values: 1.6385e-07, max values: 38.656, median values: 0.20648, and quantile values: 0.25 0.053625\n0.50 0.206480\n0.75 0.848385\nName: 632, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5211676740106916, std values: 4.9430232596118255, min values: 2.1864e-06, max values: 39.229, median values: 0.23027, and quantile values: 0.25 0.071417\n0.50 0.230270\n0.75 0.974295\nName: 633, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5118666900245283, std values: 4.927475296972386, min values: 1.6278e-06, max values: 39.03, median values: 0.26888, and quantile values: 0.25 0.063354\n0.50 0.268880\n0.75 0.936400\nName: 634, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.292478409181761, std values: 4.628426592703936, min values: 1.1762e-06, max values: 38.844, median values: 0.17744, and quantile values: 0.25 0.056166\n0.50 0.177440\n0.75 0.740220\nName: 635, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.35643727406, std values: 4.638584696692141, min values: 5.9134e-07, max values: 37.933, median values: 0.20105, and quantile values: 0.25 0.057802\n0.50 0.201050\n0.75 0.809475\nName: 636, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4696287065050315, std values: 4.985759392030784, min values: 2.7372e-06, max values: 40.121, median values: 0.21194, and quantile values: 0.25 0.062751\n0.50 0.211940\n0.75 0.878635\nName: 637, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5864993231437736, std values: 4.965986492864862, min values: 1.836e-07, max values: 41.074, median values: 0.238, and quantile values: 0.25 0.059834\n0.50 0.238000\n0.75 1.031650\nName: 638, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.393534862077629, std values: 4.94640766044104, min values: 2.1383e-08, max values: 42.353, median values: 0.20131, and quantile values: 0.25 0.045754\n0.50 0.201310\n0.75 0.785375\nName: 639, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4099860879660377, std values: 5.0320523336948275, min values: 3.6913e-06, max values: 40.32, median values: 0.20792, and quantile values: 0.25 0.058381\n0.50 0.207920\n0.75 0.701685\nName: 640, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5280045171962264, std values: 5.049915655270519, min values: 6.239e-07, max values: 42.355, median values: 0.25116, and quantile values: 0.25 0.062693\n0.50 0.251160\n0.75 0.983890\nName: 641, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4911235850075473, std values: 4.8194038430856105, min values: 1.0493e-06, max values: 38.682, median values: 0.22164, and quantile values: 0.25 0.064039\n0.50 0.221640\n0.75 0.957305\nName: 642, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6565939265610066, std values: 4.99110691080654, min values: 2.5092e-06, max values: 39.327, median values: 0.29664, and quantile values: 0.25 0.078216\n0.50 0.296640\n0.75 1.107150\nName: 643, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.533239200327044, std values: 5.136874512473318, min values: 3.5363e-06, max values: 41.783, median values: 0.21612, and quantile values: 0.25 0.06949\n0.50 0.21612\n0.75 0.87770\nName: 644, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4857131021018868, std values: 4.800342081973416, min values: 1.1404e-06, max values: 38.412, median values: 0.26599, and quantile values: 0.25 0.068075\n0.50 0.265990\n0.75 0.883700\nName: 645, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5129985613867925, std values: 4.905445175349107, min values: 2.3663e-06, max values: 39.652, median values: 0.21608, and quantile values: 0.25 0.067399\n0.50 0.216080\n0.75 0.900840\nName: 646, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3065717720144654, std values: 4.961943565063958, min values: 1.025e-06, max values: 42.436, median values: 0.1744, and quantile values: 0.25 0.048599\n0.50 0.174400\n0.75 0.700245\nName: 647, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5382590617578618, std values: 4.816885967859176, min values: 1.3043e-06, max values: 39.243, median values: 0.27037, and quantile values: 0.25 0.067547\n0.50 0.270370\n0.75 0.996290\nName: 648, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3572232707822014, std values: 4.635245520172951, min values: 1.988e-08, max values: 37.265, median values: 0.1699, and quantile values: 0.25 0.046353\n0.50 0.169900\n0.75 0.790380\nName: 649, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5671975361309811, std values: 4.872553616597519, min values: 5.5926e-08, max values: 39.697, median values: 0.19963, and quantile values: 0.25 0.052089\n0.50 0.199630\n0.75 0.995070\nName: 650, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.387067630034591, std values: 5.099757538987575, min values: 2.0775e-06, max values: 42.558, median values: 0.17709, and quantile values: 0.25 0.052118\n0.50 0.177090\n0.75 0.724875\nName: 651, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7472878034974844, std values: 5.013426918624727, min values: 2.9911e-06, max values: 39.792, median values: 0.32403, and quantile values: 0.25 0.082504\n0.50 0.324030\n0.75 1.248200\nName: 652, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2893844444490568, std values: 4.6749730181694025, min values: 1.3253e-06, max values: 39.17, median values: 0.17938, and quantile values: 0.25 0.051902\n0.50 0.179380\n0.75 0.773980\nName: 653, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4566973796071698, std values: 4.951341795106203, min values: 7.3344e-07, max values: 41.259, median values: 0.1884, and quantile values: 0.25 0.055106\n0.50 0.188400\n0.75 0.869160\nName: 654, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3822412521503147, std values: 4.676831145573499, min values: 1.5117e-06, max values: 38.123, median values: 0.22378, and quantile values: 0.25 0.062495\n0.50 0.223780\n0.75 0.806110\nName: 655, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4430779062987422, std values: 4.743193299655312, min values: 1.7972e-06, max values: 39.704, median values: 0.23459, and quantile values: 0.25 0.063830\n0.50 0.234590\n0.75 0.863755\nName: 656, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2726305045911952, std values: 5.129921972546254, min values: 5.14e-07, max values: 44.969, median values: 0.12097, and quantile values: 0.25 0.036466\n0.50 0.120970\n0.75 0.688210\nName: 657, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6056908255421385, std values: 5.192034869962319, min values: 2.9974e-06, max values: 42.121, median values: 0.2453, and quantile values: 0.25 0.072179\n0.50 0.245300\n0.75 0.937030\nName: 658, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6168761331689938, std values: 5.095838630298291, min values: 1.9066e-07, max values: 43.239, median values: 0.25908, and quantile values: 0.25 0.057661\n0.50 0.259080\n0.75 0.979460\nName: 659, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6798202037308176, std values: 5.133112644289047, min values: 4.5741e-06, max values: 40.081, median values: 0.30775, and quantile values: 0.25 0.090552\n0.50 0.307750\n0.75 1.107700\nName: 660, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6742972109364775, std values: 5.091107140733428, min values: 1.2136e-06, max values: 40.932, median values: 0.24882, and quantile values: 0.25 0.076773\n0.50 0.248820\n0.75 1.165500\nName: 661, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.344321478497692, std values: 5.205747426082963, min values: 2.2023e-08, max values: 47.381, median values: 0.15441, and quantile values: 0.25 0.040109\n0.50 0.154410\n0.75 0.648645\nName: 662, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4568024124660377, std values: 5.039045822442789, min values: 1.2507e-06, max values: 41.789, median values: 0.22151, and quantile values: 0.25 0.051711\n0.50 0.221510\n0.75 0.875010\nName: 663, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3982647607756604, std values: 4.838289887472314, min values: 1.2053e-07, max values: 39.893, median values: 0.1871, and quantile values: 0.25 0.048466\n0.50 0.187100\n0.75 0.848060\nName: 664, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6312194560339621, std values: 5.199875563590392, min values: 2.2765e-06, max values: 42.852, median values: 0.26762, and quantile values: 0.25 0.068094\n0.50 0.267620\n0.75 1.019100\nName: 665, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4704421174527673, std values: 5.075715237021996, min values: 9.1409e-07, max values: 42.75, median values: 0.20648, and quantile values: 0.25 0.06305\n0.50 0.20648\n0.75 0.89856\nName: 666, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6416957601779871, std values: 4.936305884214848, min values: 2.7473e-06, max values: 39.453, median values: 0.27767, and quantile values: 0.25 0.07569\n0.50 0.27767\n0.75 1.09660\nName: 667, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3426148763047798, std values: 4.707404324154645, min values: 5.3716e-07, max values: 37.738, median values: 0.17986, and quantile values: 0.25 0.053916\n0.50 0.179860\n0.75 0.839135\nName: 668, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5791593914867923, std values: 4.972929138599043, min values: 2.7952e-06, max values: 39.83, median values: 0.26169, and quantile values: 0.25 0.068935\n0.50 0.261690\n0.75 1.000840\nName: 669, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2312864614685535, std values: 4.769647182988616, min values: 2.6083e-07, max values: 40.24, median values: 0.14437, and quantile values: 0.25 0.043093\n0.50 0.144370\n0.75 0.594175\nName: 670, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6338247995251571, std values: 5.39881750127596, min values: 2.1487e-06, max values: 47.749, median values: 0.25636, and quantile values: 0.25 0.075054\n0.50 0.256360\n0.75 0.984245\nName: 671, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.162553350427673, std values: 4.741067056295028, min values: 1.2023e-06, max values: 39.198, median values: 0.13718, and quantile values: 0.25 0.046762\n0.50 0.137180\n0.75 0.545665\nName: 672, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6739203087308177, std values: 5.159051847656929, min values: 2.3147e-06, max values: 42.046, median values: 0.29039, and quantile values: 0.25 0.078765\n0.50 0.290390\n0.75 1.151250\nName: 673, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2338276128662895, std values: 4.8346119970055215, min values: 4.9837e-07, max values: 40.573, median values: 0.14118, and quantile values: 0.25 0.042507\n0.50 0.141180\n0.75 0.588600\nName: 674, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2657993238336478, std values: 4.766067867143591, min values: 7.8735e-07, max values: 38.333, median values: 0.14869, and quantile values: 0.25 0.045229\n0.50 0.148690\n0.75 0.671170\nName: 675, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5981744322759122, std values: 4.779680819027497, min values: 8.7207e-07, max values: 37.775, median values: 0.23982, and quantile values: 0.25 0.071665\n0.50 0.239820\n0.75 1.109200\nName: 676, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3339215197735848, std values: 4.619503009853444, min values: 1.2588e-06, max values: 37.836, median values: 0.18079, and quantile values: 0.25 0.059596\n0.50 0.180790\n0.75 0.755895\nName: 677, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5317592168075473, std values: 4.841137452013145, min values: 2.7327e-06, max values: 40.565, median values: 0.2252, and quantile values: 0.25 0.069879\n0.50 0.225200\n0.75 0.933070\nName: 678, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3723783802371068, std values: 4.700245879311294, min values: 1.7951e-06, max values: 38.305, median values: 0.19701, and quantile values: 0.25 0.067728\n0.50 0.197010\n0.75 0.789935\nName: 679, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6493756797222645, std values: 5.122484033750231, min values: 1.528e-07, max values: 43.737, median values: 0.26262, and quantile values: 0.25 0.061192\n0.50 0.262620\n0.75 1.022955\nName: 680, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6944960525654087, std values: 5.0858434374814845, min values: 1.7914e-06, max values: 40.641, median values: 0.27044, and quantile values: 0.25 0.078626\n0.50 0.270440\n0.75 1.145950\nName: 681, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5578341746232705, std values: 5.103656974998209, min values: 2.1365e-06, max values: 42.229, median values: 0.24677, and quantile values: 0.25 0.069217\n0.50 0.246770\n0.75 0.939685\nName: 682, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3707542121998364, std values: 4.87349221572037, min values: 1.9784e-08, max values: 41.367, median values: 0.18004, and quantile values: 0.25 0.047095\n0.50 0.180040\n0.75 0.727715\nName: 683, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3781305045968555, std values: 4.901536926158658, min values: 1.2634e-06, max values: 39.616, median values: 0.16786, and quantile values: 0.25 0.053253\n0.50 0.167860\n0.75 0.823440\nName: 684, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.529309082009874, std values: 5.008057528890151, min values: 6.6107e-07, max values: 41.918, median values: 0.23166, and quantile values: 0.25 0.063429\n0.50 0.231660\n0.75 0.923690\nName: 685, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3293379900104403, std values: 4.70861405610756, min values: 5.5086e-07, max values: 37.992, median values: 0.19724, and quantile values: 0.25 0.055820\n0.50 0.197240\n0.75 0.682425\nName: 686, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.24747817358, std values: 4.392945635738962, min values: 3.829e-07, max values: 36.568, median values: 0.16157, and quantile values: 0.25 0.043826\n0.50 0.161570\n0.75 0.692305\nName: 687, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5537720949842766, std values: 4.880447199031423, min values: 1.1063e-06, max values: 38.281, median values: 0.25193, and quantile values: 0.25 0.074237\n0.50 0.251930\n0.75 0.960755\nName: 688, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8848146416050315, std values: 5.135478119381037, min values: 4.7585e-06, max values: 39.91, median values: 0.34287, and quantile values: 0.25 0.089385\n0.50 0.342870\n0.75 1.403150\nName: 689, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4860193984591192, std values: 4.8311548959152075, min values: 3.3125e-06, max values: 40.214, median values: 0.21155, and quantile values: 0.25 0.060087\n0.50 0.211550\n0.75 0.855365\nName: 690, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3337009829842768, std values: 4.84672071019232, min values: 1.5167e-06, max values: 38.792, median values: 0.18353, and quantile values: 0.25 0.051376\n0.50 0.183530\n0.75 0.710760\nName: 691, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5600526145250313, std values: 4.989127331085743, min values: 6.5578e-07, max values: 41.193, median values: 0.27541, and quantile values: 0.25 0.070607\n0.50 0.275410\n0.75 0.941025\nName: 692, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4791838602295597, std values: 4.972609415042796, min values: 1.3108e-06, max values: 40.656, median values: 0.2265, and quantile values: 0.25 0.063393\n0.50 0.226500\n0.75 0.880635\nName: 693, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5206826138748426, std values: 5.0980375800453395, min values: 2.2938e-06, max values: 41.739, median values: 0.23365, and quantile values: 0.25 0.066832\n0.50 0.233650\n0.75 0.931265\nName: 694, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6191150230295597, std values: 4.900123736574733, min values: 9.962e-07, max values: 38.687, median values: 0.28473, and quantile values: 0.25 0.070678\n0.50 0.284730\n0.75 1.121600\nName: 695, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.61343485454717, std values: 4.961576865096265, min values: 2.3534e-06, max values: 39.935, median values: 0.26964, and quantile values: 0.25 0.074979\n0.50 0.269640\n0.75 1.030200\nName: 696, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6092866700471697, std values: 5.089707795185238, min values: 1.8566e-06, max values: 41.751, median values: 0.26379, and quantile values: 0.25 0.071902\n0.50 0.263790\n0.75 1.074400\nName: 697, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.374336280392453, std values: 5.008715332513801, min values: 3.3223e-06, max values: 40.452, median values: 0.189, and quantile values: 0.25 0.060117\n0.50 0.189000\n0.75 0.726170\nName: 698, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5982531181251574, std values: 5.0639606281115475, min values: 2.8336e-06, max values: 39.922, median values: 0.28391, and quantile values: 0.25 0.070713\n0.50 0.283910\n0.75 0.955180\nName: 699, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6279035523686791, std values: 5.173921418355485, min values: 6.2632e-07, max values: 43.059, median values: 0.24268, and quantile values: 0.25 0.066315\n0.50 0.242680\n0.75 1.121500\nName: 700, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3344459764882453, std values: 4.519483499410192, min values: 1.9521e-08, max values: 36.902, median values: 0.19438, and quantile values: 0.25 0.052504\n0.50 0.194380\n0.75 0.770725\nName: 701, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7162557393201259, std values: 5.262927962747736, min values: 2.5041e-06, max values: 43.899, median values: 0.27998, and quantile values: 0.25 0.078175\n0.50 0.279980\n0.75 1.176150\nName: 702, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6620694939496854, std values: 5.122138591807572, min values: 2.0139e-06, max values: 41.586, median values: 0.27073, and quantile values: 0.25 0.081197\n0.50 0.270730\n0.75 1.132200\nName: 703, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5604217968056602, std values: 4.78886379922906, min values: 2.9365e-06, max values: 39.896, median values: 0.27492, and quantile values: 0.25 0.072095\n0.50 0.274920\n0.75 0.955020\nName: 704, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5457563914603776, std values: 4.9456192813436965, min values: 2.4169e-06, max values: 39.797, median values: 0.25262, and quantile values: 0.25 0.062074\n0.50 0.252620\n0.75 1.051010\nName: 705, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.774456019672327, std values: 5.2469323088995035, min values: 4.7239e-06, max values: 41.476, median values: 0.3008, and quantile values: 0.25 0.085136\n0.50 0.300800\n0.75 1.174900\nName: 706, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5762064145509436, std values: 4.886368090987115, min values: 4.4006e-06, max values: 40.589, median values: 0.24752, and quantile values: 0.25 0.064979\n0.50 0.247520\n0.75 1.022200\nName: 707, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3858653054886791, std values: 4.8150311640148695, min values: 2.2214e-06, max values: 40.682, median values: 0.19292, and quantile values: 0.25 0.057457\n0.50 0.192920\n0.75 0.799740\nName: 708, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4398372320239623, std values: 4.728739266061915, min values: 5.2891e-07, max values: 38.189, median values: 0.18526, and quantile values: 0.25 0.047013\n0.50 0.185260\n0.75 0.855110\nName: 709, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4979314979676102, std values: 4.845362995318494, min values: 4.8065e-07, max values: 39.022, median values: 0.23657, and quantile values: 0.25 0.06068\n0.50 0.23657\n0.75 0.90904\nName: 710, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5207986034598742, std values: 5.051723158921027, min values: 6.6812e-07, max values: 42.131, median values: 0.24549, and quantile values: 0.25 0.064963\n0.50 0.245490\n0.75 0.932695\nName: 711, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4073750032284906, std values: 4.573454991794665, min values: 7.8123e-07, max values: 37.854, median values: 0.247, and quantile values: 0.25 0.059581\n0.50 0.247000\n0.75 0.901175\nName: 712, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6698750610855975, std values: 5.067779548838699, min values: 7.3991e-07, max values: 40.573, median values: 0.27309, and quantile values: 0.25 0.068208\n0.50 0.273090\n0.75 1.142300\nName: 713, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2504706213477987, std values: 4.4920732085264055, min values: 2.0757e-06, max values: 39.134, median values: 0.15845, and quantile values: 0.25 0.050100\n0.50 0.158450\n0.75 0.691825\nName: 714, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3477559541407735, std values: 4.727603013718964, min values: 1.8717e-08, max values: 39.545, median values: 0.17854, and quantile values: 0.25 0.03851\n0.50 0.17854\n0.75 0.73273\nName: 715, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.667573188673585, std values: 5.186886794464828, min values: 2.7505e-06, max values: 42.579, median values: 0.26967, and quantile values: 0.25 0.078443\n0.50 0.269670\n0.75 1.021650\nName: 716, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3282353624610064, std values: 4.632001587797233, min values: 2.0413e-06, max values: 40.199, median values: 0.18154, and quantile values: 0.25 0.055630\n0.50 0.181540\n0.75 0.743205\nName: 717, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.533180415899874, std values: 4.7735274460006, min values: 4.7828e-07, max values: 37.573, median values: 0.21863, and quantile values: 0.25 0.059362\n0.50 0.218630\n0.75 0.954595\nName: 718, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4163032841001257, std values: 4.828661567698295, min values: 9.4592e-07, max values: 38.898, median values: 0.18838, and quantile values: 0.25 0.057173\n0.50 0.188380\n0.75 0.768490\nName: 719, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5510197080050312, std values: 4.850821714235901, min values: 1.8065e-06, max values: 38.744, median values: 0.25399, and quantile values: 0.25 0.070623\n0.50 0.253990\n0.75 1.014255\nName: 720, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5382960756861637, std values: 5.196469954941303, min values: 2.7927e-06, max values: 43.34, median values: 0.25088, and quantile values: 0.25 0.057541\n0.50 0.250880\n0.75 0.938490\nName: 721, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4322130692698114, std values: 5.044838234298738, min values: 5.2157e-06, max values: 41.409, median values: 0.22982, and quantile values: 0.25 0.052339\n0.50 0.229820\n0.75 0.676455\nName: 722, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6726000691566039, std values: 5.046399858535767, min values: 2.0167e-06, max values: 40.284, median values: 0.30762, and quantile values: 0.25 0.083105\n0.50 0.307620\n0.75 1.153300\nName: 723, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4747919456597482, std values: 5.066133128736437, min values: 2.5953e-06, max values: 41.846, median values: 0.21512, and quantile values: 0.25 0.061199\n0.50 0.215120\n0.75 0.866590\nName: 724, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3195258477091383, std values: 4.830143212286903, min values: 2.0893e-08, max values: 40.906, median values: 0.16519, and quantile values: 0.25 0.044282\n0.50 0.165190\n0.75 0.722715\nName: 725, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.540166494163522, std values: 5.022610785696249, min values: 1.226e-06, max values: 40.577, median values: 0.23458, and quantile values: 0.25 0.069599\n0.50 0.234580\n0.75 1.002070\nName: 726, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1977259838628929, std values: 4.66019546312995, min values: 3.5414e-07, max values: 37.753, median values: 0.15246, and quantile values: 0.25 0.04527\n0.50 0.15246\n0.75 0.57442\nName: 727, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5597323540672956, std values: 4.965303041578588, min values: 1.949e-06, max values: 39.251, median values: 0.24217, and quantile values: 0.25 0.071018\n0.50 0.242170\n0.75 0.996325\nName: 728, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4331229475534404, std values: 4.761918798475489, min values: 2.6877e-08, max values: 37.672, median values: 0.18083, and quantile values: 0.25 0.050835\n0.50 0.180830\n0.75 0.889475\nName: 729, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4467168662484275, std values: 4.804474490432765, min values: 6.011e-07, max values: 38.051, median values: 0.21515, and quantile values: 0.25 0.059709\n0.50 0.215150\n0.75 0.897725\nName: 730, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.509718504610063, std values: 4.934790227027265, min values: 1.4457e-06, max values: 40.048, median values: 0.23531, and quantile values: 0.25 0.073829\n0.50 0.235310\n0.75 0.928805\nName: 731, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6089849899, std values: 4.935656373818859, min values: 2.2016e-06, max values: 39.191, median values: 0.25457, and quantile values: 0.25 0.067582\n0.50 0.254570\n0.75 1.066800\nName: 732, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.467361947406082, std values: 4.987856872120992, min values: 1.8878e-08, max values: 43.111, median values: 0.20804, and quantile values: 0.25 0.043217\n0.50 0.208040\n0.75 0.804180\nName: 733, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3782262421713334, std values: 5.0302009556926555, min values: 1.9638e-08, max values: 44.505, median values: 0.15374, and quantile values: 0.25 0.033156\n0.50 0.153740\n0.75 0.692710\nName: 734, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3920002102096856, std values: 4.730478326424179, min values: 1.8817e-08, max values: 39.464, median values: 0.1508, and quantile values: 0.25 0.030079\n0.50 0.150800\n0.75 0.809795\nName: 735, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2666448470905662, std values: 4.560885530774778, min values: 1.0006e-06, max values: 38.115, median values: 0.15464, and quantile values: 0.25 0.053313\n0.50 0.154640\n0.75 0.609570\nName: 736, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4805810214245283, std values: 4.80925547096734, min values: 2.4155e-06, max values: 38.889, median values: 0.23768, and quantile values: 0.25 0.066101\n0.50 0.237680\n0.75 0.902445\nName: 737, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2748047774288551, std values: 4.709697089463422, min values: 1.9888e-08, max values: 37.716, median values: 0.15189, and quantile values: 0.25 0.043942\n0.50 0.151890\n0.75 0.649420\nName: 738, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6924648356779877, std values: 5.133127186757392, min values: 1.0924e-06, max values: 42.383, median values: 0.30057, and quantile values: 0.25 0.076617\n0.50 0.300570\n0.75 1.142850\nName: 739, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.362291610528302, std values: 4.677908854080416, min values: 1.2153e-06, max values: 38.025, median values: 0.2087, and quantile values: 0.25 0.062506\n0.50 0.208700\n0.75 0.755975\nName: 740, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6173505595125788, std values: 5.032541582314313, min values: 2.4448e-06, max values: 39.737, median values: 0.28566, and quantile values: 0.25 0.071689\n0.50 0.285660\n0.75 1.108750\nName: 741, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5067491173984904, std values: 5.011370827053818, min values: 7.7446e-07, max values: 41.419, median values: 0.23767, and quantile values: 0.25 0.067849\n0.50 0.237670\n0.75 0.950430\nName: 742, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4289332465849056, std values: 4.869756185464922, min values: 2.3752e-06, max values: 39.179, median values: 0.24542, and quantile values: 0.25 0.062713\n0.50 0.245420\n0.75 0.816150\nName: 743, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.614095563027673, std values: 4.944514365833404, min values: 1.3131e-06, max values: 38.737, median values: 0.26287, and quantile values: 0.25 0.071799\n0.50 0.262870\n0.75 1.061500\nName: 744, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.505581493460377, std values: 5.123714218077556, min values: 2.5792e-06, max values: 42.098, median values: 0.24077, and quantile values: 0.25 0.060733\n0.50 0.240770\n0.75 0.914320\nName: 745, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1599971685486163, std values: 4.708401900388215, min values: 5.9283e-07, max values: 38.568, median values: 0.11665, and quantile values: 0.25 0.036891\n0.50 0.116650\n0.75 0.575110\nName: 746, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.558580545628302, std values: 4.700463290110648, min values: 3.6163e-06, max values: 39.378, median values: 0.255, and quantile values: 0.25 0.080505\n0.50 0.255000\n0.75 0.962160\nName: 747, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5030269514094339, std values: 5.140962632057659, min values: 1.0808e-06, max values: 43.913, median values: 0.22071, and quantile values: 0.25 0.065932\n0.50 0.220710\n0.75 0.880885\nName: 748, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6569163934559747, std values: 5.204022058653755, min values: 1.9392e-06, max values: 42.674, median values: 0.24705, and quantile values: 0.25 0.069656\n0.50 0.247050\n0.75 1.087200\nName: 749, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.428416201538365, std values: 5.046782855813407, min values: 2.6405e-06, max values: 41.5, median values: 0.20031, and quantile values: 0.25 0.065564\n0.50 0.200310\n0.75 0.763345\nName: 750, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3858183640805033, std values: 4.911844312087536, min values: 1.9427e-06, max values: 40.311, median values: 0.19698, and quantile values: 0.25 0.054391\n0.50 0.196980\n0.75 0.742855\nName: 751, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3700521122708804, std values: 4.7443250321540855, min values: 7.8657e-07, max values: 37.832, median values: 0.19761, and quantile values: 0.25 0.052114\n0.50 0.197610\n0.75 0.756615\nName: 752, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5559381245396227, std values: 5.031095313669517, min values: 1.4933e-06, max values: 41.045, median values: 0.24726, and quantile values: 0.25 0.071105\n0.50 0.247260\n0.75 0.947200\nName: 753, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5223583679522013, std values: 4.937885195220433, min values: 2.7627e-06, max values: 40.631, median values: 0.22476, and quantile values: 0.25 0.06864\n0.50 0.22476\n0.75 0.90753\nName: 754, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.280818821614654, std values: 4.540901093544917, min values: 7.6833e-07, max values: 37.898, median values: 0.19264, and quantile values: 0.25 0.051591\n0.50 0.192640\n0.75 0.701510\nName: 755, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.729450222492453, std values: 5.420057912727634, min values: 3.5816e-06, max values: 45.246, median values: 0.26587, and quantile values: 0.25 0.067491\n0.50 0.265870\n0.75 1.097250\nName: 756, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2663155374932076, std values: 4.742002564518238, min values: 8.9592e-07, max values: 38.847, median values: 0.15496, and quantile values: 0.25 0.049737\n0.50 0.154960\n0.75 0.700110\nName: 757, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2961856441509434, std values: 4.681026939554995, min values: 1.3539e-06, max values: 38.902, median values: 0.18767, and quantile values: 0.25 0.049299\n0.50 0.187670\n0.75 0.721350\nName: 758, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.444825554139113, std values: 4.8483776461505315, min values: 1.9219e-08, max values: 39.46, median values: 0.19883, and quantile values: 0.25 0.053659\n0.50 0.198830\n0.75 0.896880\nName: 759, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5646050195320755, std values: 4.902994465531802, min values: 5.713e-07, max values: 39.01, median values: 0.2487, and quantile values: 0.25 0.066572\n0.50 0.248700\n0.75 0.977130\nName: 760, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3399607931093083, std values: 4.555297388611613, min values: 1.5873e-07, max values: 36.477, median values: 0.16284, and quantile values: 0.25 0.044617\n0.50 0.162840\n0.75 0.804810\nName: 761, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4893781973966036, std values: 4.957047337392842, min values: 2.4546e-07, max values: 42.29, median values: 0.2336, and quantile values: 0.25 0.053365\n0.50 0.233600\n0.75 0.886295\nName: 762, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4538616651264151, std values: 4.878581013500322, min values: 1.3387e-06, max values: 38.734, median values: 0.23001, and quantile values: 0.25 0.064507\n0.50 0.230010\n0.75 0.843400\nName: 763, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4699916735006293, std values: 4.944472801104286, min values: 1.1462e-06, max values: 39.852, median values: 0.21735, and quantile values: 0.25 0.057871\n0.50 0.217350\n0.75 0.840575\nName: 764, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5082679644357233, std values: 4.9495143947756075, min values: 4.0488e-07, max values: 40.597, median values: 0.2393, and quantile values: 0.25 0.057169\n0.50 0.239300\n0.75 0.945330\nName: 765, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5836917665433965, std values: 4.991344663538231, min values: 3.0281e-06, max values: 39.924, median values: 0.29456, and quantile values: 0.25 0.072728\n0.50 0.294560\n0.75 0.994295\nName: 766, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1761623292379246, std values: 4.702697066494277, min values: 8.4803e-07, max values: 38.099, median values: 0.1202, and quantile values: 0.25 0.036877\n0.50 0.120200\n0.75 0.556840\nName: 767, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.411200690820126, std values: 4.861805137726471, min values: 2.3579e-06, max values: 38.898, median values: 0.21664, and quantile values: 0.25 0.064886\n0.50 0.216640\n0.75 0.843310\nName: 768, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4457799958666664, std values: 4.9165727292186885, min values: 2.0989e-06, max values: 39.437, median values: 0.21628, and quantile values: 0.25 0.068588\n0.50 0.216280\n0.75 0.857965\nName: 769, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5373812932062894, std values: 5.059951154452042, min values: 3.8801e-06, max values: 40.399, median values: 0.26436, and quantile values: 0.25 0.076784\n0.50 0.264360\n0.75 0.911160\nName: 770, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6395578860981133, std values: 5.1728650996742145, min values: 1.4769e-06, max values: 43.482, median values: 0.22937, and quantile values: 0.25 0.074814\n0.50 0.229370\n0.75 1.042050\nName: 771, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.360043138344591, std values: 4.671498053358474, min values: 6.2409e-07, max values: 38.155, median values: 0.21384, and quantile values: 0.25 0.055967\n0.50 0.213840\n0.75 0.831210\nName: 772, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6901695532842766, std values: 5.2664401082395305, min values: 6.2242e-06, max values: 41.248, median values: 0.26123, and quantile values: 0.25 0.081415\n0.50 0.261230\n0.75 1.040500\nName: 773, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3560465612559751, std values: 4.847425508700708, min values: 2.2057e-06, max values: 39.697, median values: 0.19848, and quantile values: 0.25 0.057811\n0.50 0.198480\n0.75 0.723650\nName: 774, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4017226964805158, std values: 4.700401805871582, min values: 1.8102e-08, max values: 37.15, median values: 0.20072, and quantile values: 0.25 0.053992\n0.50 0.200720\n0.75 0.837985\nName: 775, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5374693966490565, std values: 4.909454431663655, min values: 1.3194e-06, max values: 39.077, median values: 0.23646, and quantile values: 0.25 0.069945\n0.50 0.236460\n0.75 1.017570\nName: 776, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3348374658125786, std values: 4.664041204450355, min values: 1.7959e-06, max values: 36.654, median values: 0.16724, and quantile values: 0.25 0.055168\n0.50 0.167240\n0.75 0.643430\nName: 777, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2799831701136477, std values: 4.619266200984285, min values: 5.2237e-07, max values: 37.651, median values: 0.17783, and quantile values: 0.25 0.050116\n0.50 0.177830\n0.75 0.723870\nName: 778, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.26640700950761, std values: 4.738645754833875, min values: 3.0587e-07, max values: 38.796, median values: 0.1539, and quantile values: 0.25 0.052223\n0.50 0.153900\n0.75 0.607810\nName: 779, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4286485512201257, std values: 4.798237217121491, min values: 1.456e-06, max values: 38.831, median values: 0.1942, and quantile values: 0.25 0.063931\n0.50 0.194200\n0.75 0.847190\nName: 780, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6709482927647803, std values: 5.066488322608784, min values: 2.7564e-06, max values: 39.394, median values: 0.26469, and quantile values: 0.25 0.079963\n0.50 0.264690\n0.75 1.113650\nName: 781, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3834960549944655, std values: 4.708225481428619, min values: 6.0322e-07, max values: 37.887, median values: 0.20233, and quantile values: 0.25 0.060080\n0.50 0.202330\n0.75 0.790785\nName: 782, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.31102242532956, std values: 4.8874893600818075, min values: 3.5362e-06, max values: 40.495, median values: 0.17636, and quantile values: 0.25 0.051905\n0.50 0.176360\n0.75 0.607910\nName: 783, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.237741396932327, std values: 4.856594130835389, min values: 7.3764e-07, max values: 40.642, median values: 0.14553, and quantile values: 0.25 0.046111\n0.50 0.145530\n0.75 0.565855\nName: 784, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8089892358861634, std values: 5.35251962506606, min values: 3.3303e-06, max values: 44.379, median values: 0.33214, and quantile values: 0.25 0.094727\n0.50 0.332140\n0.75 1.237050\nName: 785, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.376654553648365, std values: 5.113424684041475, min values: 5.905e-07, max values: 45.253, median values: 0.16191, and quantile values: 0.25 0.040135\n0.50 0.161910\n0.75 0.707950\nName: 786, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3620013292628932, std values: 4.945007225865558, min values: 2.2527e-06, max values: 39.945, median values: 0.17953, and quantile values: 0.25 0.051476\n0.50 0.179530\n0.75 0.720170\nName: 787, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5833973278288052, std values: 5.092398545854217, min values: 2.8918e-07, max values: 43.627, median values: 0.25522, and quantile values: 0.25 0.067541\n0.50 0.255220\n0.75 1.012445\nName: 788, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.397842583713585, std values: 4.728044126343257, min values: 5.9116e-07, max values: 37.924, median values: 0.19172, and quantile values: 0.25 0.049934\n0.50 0.191720\n0.75 0.829460\nName: 789, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3780864238987423, std values: 4.869295897192269, min values: 1.1877e-06, max values: 39.003, median values: 0.21589, and quantile values: 0.25 0.056021\n0.50 0.215890\n0.75 0.765505\nName: 790, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3786036454201258, std values: 5.03351317797742, min values: 1.5371e-06, max values: 42.131, median values: 0.20138, and quantile values: 0.25 0.062067\n0.50 0.201380\n0.75 0.773970\nName: 791, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5006312369504402, std values: 5.046512774981128, min values: 3.9312e-07, max values: 42.182, median values: 0.22567, and quantile values: 0.25 0.055887\n0.50 0.225670\n0.75 0.938600\nName: 792, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4392680733672956, std values: 4.963993890333072, min values: 1.6552e-06, max values: 40.948, median values: 0.22239, and quantile values: 0.25 0.058798\n0.50 0.222390\n0.75 0.835465\nName: 793, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3277376140272954, std values: 4.9505414901047775, min values: 7.1484e-07, max values: 42.281, median values: 0.18638, and quantile values: 0.25 0.052656\n0.50 0.186380\n0.75 0.733585\nName: 794, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3776408792873585, std values: 4.687294777252795, min values: 9.4859e-07, max values: 37.447, median values: 0.20841, and quantile values: 0.25 0.060322\n0.50 0.208410\n0.75 0.829520\nName: 795, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3762802304006287, std values: 4.9883181708638595, min values: 1.851e-06, max values: 41.246, median values: 0.19079, and quantile values: 0.25 0.058363\n0.50 0.190790\n0.75 0.773210\nName: 796, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.414804521364654, std values: 4.8480755000398075, min values: 6.3108e-07, max values: 38.844, median values: 0.21298, and quantile values: 0.25 0.053631\n0.50 0.212980\n0.75 0.787185\nName: 797, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7577993222591006, std values: 5.043922022290046, min values: 4.1797e-08, max values: 40.542, median values: 0.2616, and quantile values: 0.25 0.070671\n0.50 0.261600\n0.75 1.234050\nName: 798, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3252074654463586, std values: 4.615711960569097, min values: 2.9221e-08, max values: 36.577, median values: 0.19461, and quantile values: 0.25 0.045350\n0.50 0.194610\n0.75 0.766445\nName: 799, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.280034859492516, std values: 4.745535887614562, min values: 6.7381e-07, max values: 38.278, median values: 0.1668, and quantile values: 0.25 0.054044\n0.50 0.166800\n0.75 0.680070\nName: 800, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.568871457437736, std values: 5.209993303406317, min values: 4.6891e-06, max values: 42.777, median values: 0.24351, and quantile values: 0.25 0.069849\n0.50 0.243510\n0.75 0.924640\nName: 801, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.328882336117321, std values: 4.744121718737326, min values: 1.1244e-08, max values: 39.154, median values: 0.15667, and quantile values: 0.25 0.036621\n0.50 0.156670\n0.75 0.729785\nName: 802, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6061118760509432, std values: 4.995440615284615, min values: 1.4509e-06, max values: 39.535, median values: 0.24712, and quantile values: 0.25 0.071736\n0.50 0.247120\n0.75 1.041400\nName: 803, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.776650642972327, std values: 5.401376097873456, min values: 4.6517e-06, max values: 44.721, median values: 0.33456, and quantile values: 0.25 0.095974\n0.50 0.334560\n0.75 1.098150\nName: 804, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4318383077132073, std values: 4.890194577897075, min values: 1.2405e-06, max values: 39.833, median values: 0.22992, and quantile values: 0.25 0.073249\n0.50 0.229920\n0.75 0.866495\nName: 805, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5395000814138362, std values: 4.957851008508057, min values: 1.1335e-06, max values: 40.525, median values: 0.23764, and quantile values: 0.25 0.069236\n0.50 0.237640\n0.75 1.027380\nName: 806, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.537783922191195, std values: 5.160137047095027, min values: 2.6664e-06, max values: 42.397, median values: 0.24551, and quantile values: 0.25 0.068496\n0.50 0.245510\n0.75 0.888295\nName: 807, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3861517910993713, std values: 4.7059289589655, min values: 2.7675e-06, max values: 40.359, median values: 0.21455, and quantile values: 0.25 0.062664\n0.50 0.214550\n0.75 0.791870\nName: 808, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5997741631132079, std values: 5.160192184845447, min values: 2.2346e-06, max values: 43.157, median values: 0.25213, and quantile values: 0.25 0.075497\n0.50 0.252130\n0.75 1.027050\nName: 809, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.71504163811195, std values: 5.102298940519889, min values: 3.4086e-06, max values: 39.973, median values: 0.28929, and quantile values: 0.25 0.085132\n0.50 0.289290\n0.75 1.137300\nName: 810, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4712046973085535, std values: 4.987976617529186, min values: 7.6336e-07, max values: 41.419, median values: 0.23619, and quantile values: 0.25 0.059604\n0.50 0.236190\n0.75 0.902395\nName: 811, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.460707650238365, std values: 5.1157707558907735, min values: 1.317e-06, max values: 42.346, median values: 0.21278, and quantile values: 0.25 0.056695\n0.50 0.212780\n0.75 0.868490\nName: 812, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6367004710893083, std values: 5.2394472815677124, min values: 1.0077e-06, max values: 45.341, median values: 0.22035, and quantile values: 0.25 0.071699\n0.50 0.220350\n0.75 1.032885\nName: 813, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3102936021805034, std values: 4.708058799337625, min values: 3.0642e-06, max values: 39.922, median values: 0.17112, and quantile values: 0.25 0.054480\n0.50 0.171120\n0.75 0.665995\nName: 814, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4051056457990563, std values: 4.917711267118233, min values: 6.4275e-07, max values: 40.842, median values: 0.19164, and quantile values: 0.25 0.056277\n0.50 0.191640\n0.75 0.770365\nName: 815, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4293870888685536, std values: 4.863162718249617, min values: 1.6303e-06, max values: 38.867, median values: 0.22797, and quantile values: 0.25 0.059712\n0.50 0.227970\n0.75 0.854100\nName: 816, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.603171699092767, std values: 5.044389924408328, min values: 6.6705e-07, max values: 42.072, median values: 0.24769, and quantile values: 0.25 0.07627\n0.50 0.24769\n0.75 1.05470\nName: 817, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3571218432901258, std values: 4.637556004588255, min values: 3.4513e-07, max values: 37.656, median values: 0.19171, and quantile values: 0.25 0.056666\n0.50 0.191710\n0.75 0.841375\nName: 818, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.672880135944025, std values: 4.9698470392396334, min values: 1.6944e-06, max values: 38.976, median values: 0.28818, and quantile values: 0.25 0.080919\n0.50 0.288180\n0.75 1.178000\nName: 819, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3097125238029559, std values: 4.880579792324629, min values: 7.3297e-07, max values: 39.446, median values: 0.15641, and quantile values: 0.25 0.048166\n0.50 0.156410\n0.75 0.774490\nName: 820, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5066162815855346, std values: 4.8891764649764715, min values: 4.1478e-06, max values: 40.022, median values: 0.23154, and quantile values: 0.25 0.072689\n0.50 0.231540\n0.75 0.868115\nName: 821, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7385064402861636, std values: 5.349921041326803, min values: 2.9704e-06, max values: 45.241, median values: 0.30112, and quantile values: 0.25 0.088006\n0.50 0.301120\n0.75 1.155650\nName: 822, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4572158884339623, std values: 4.954721395849371, min values: 2.6072e-06, max values: 39.876, median values: 0.21877, and quantile values: 0.25 0.064656\n0.50 0.218770\n0.75 0.884860\nName: 823, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5045997862491194, std values: 4.843132704955875, min values: 4.1551e-07, max values: 38.24, median values: 0.23518, and quantile values: 0.25 0.058555\n0.50 0.235180\n0.75 0.984810\nName: 824, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5765351401805032, std values: 4.748563648411601, min values: 1.2118e-06, max values: 38.224, median values: 0.24377, and quantile values: 0.25 0.070691\n0.50 0.243770\n0.75 1.041450\nName: 825, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6019341286061006, std values: 4.941896793324454, min values: 9.2717e-07, max values: 39.829, median values: 0.28371, and quantile values: 0.25 0.073658\n0.50 0.283710\n0.75 1.052550\nName: 826, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3207420238044025, std values: 4.583488558376733, min values: 1.0104e-06, max values: 38.801, median values: 0.1677, and quantile values: 0.25 0.053678\n0.50 0.167700\n0.75 0.774785\nName: 827, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4635855951642138, std values: 5.050669800913971, min values: 8.7301e-07, max values: 43.215, median values: 0.2114, and quantile values: 0.25 0.063365\n0.50 0.211400\n0.75 0.853470\nName: 828, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6869261522830064, std values: 5.014884197316362, min values: 1.9207e-08, max values: 41.988, median values: 0.23211, and quantile values: 0.25 0.049024\n0.50 0.232110\n0.75 1.174350\nName: 829, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.414102294636478, std values: 4.79013538704777, min values: 1.0026e-06, max values: 38.894, median values: 0.22261, and quantile values: 0.25 0.057272\n0.50 0.222610\n0.75 0.882045\nName: 830, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3569907707752202, std values: 4.794060995811885, min values: 3.4856e-07, max values: 38.326, median values: 0.16992, and quantile values: 0.25 0.047608\n0.50 0.169920\n0.75 0.738020\nName: 831, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4535561123889749, std values: 4.6001001824104915, min values: 2.0717e-08, max values: 36.555, median values: 0.21211, and quantile values: 0.25 0.049399\n0.50 0.212110\n0.75 0.881485\nName: 832, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.50179544006478, std values: 4.858267048256161, min values: 1.5345e-06, max values: 39.695, median values: 0.21945, and quantile values: 0.25 0.067553\n0.50 0.219450\n0.75 0.938305\nName: 833, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4992469515041258, std values: 4.639070636767667, min values: 2.8106e-08, max values: 35.932, median values: 0.23262, and quantile values: 0.25 0.051206\n0.50 0.232620\n0.75 0.981750\nName: 834, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9645359115597485, std values: 5.7855340262559585, min values: 4.4102e-06, max values: 50.823, median values: 0.33384, and quantile values: 0.25 0.091221\n0.50 0.333840\n0.75 1.388800\nName: 835, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3649306522620752, std values: 4.56749088880391, min values: 6.7987e-07, max values: 38.841, median values: 0.20313, and quantile values: 0.25 0.058718\n0.50 0.203130\n0.75 0.828150\nName: 836, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4761327897446541, std values: 4.929000671979863, min values: 1.9385e-06, max values: 39.597, median values: 0.22622, and quantile values: 0.25 0.063524\n0.50 0.226220\n0.75 0.891290\nName: 837, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3329594484326543, std values: 4.668292592000949, min values: 1.9682e-08, max values: 37.312, median values: 0.1636, and quantile values: 0.25 0.047018\n0.50 0.163600\n0.75 0.762595\nName: 838, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.168491892863019, std values: 4.713838890570862, min values: 4.2491e-07, max values: 39.664, median values: 0.11666, and quantile values: 0.25 0.034141\n0.50 0.116660\n0.75 0.525845\nName: 839, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3553903616647798, std values: 5.007215107733419, min values: 2.4572e-06, max values: 41.076, median values: 0.18548, and quantile values: 0.25 0.056227\n0.50 0.185480\n0.75 0.741730\nName: 840, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5556467732899368, std values: 5.031679105388827, min values: 2.8538e-06, max values: 39.795, median values: 0.2364, and quantile values: 0.25 0.078186\n0.50 0.236400\n0.75 0.901370\nName: 841, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.596797237833962, std values: 4.890823826708692, min values: 2.0524e-06, max values: 38.809, median values: 0.26255, and quantile values: 0.25 0.084555\n0.50 0.262550\n0.75 1.057250\nName: 842, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.646665050379874, std values: 5.120314719639698, min values: 4.909e-06, max values: 40.396, median values: 0.27484, and quantile values: 0.25 0.079427\n0.50 0.274840\n0.75 0.991440\nName: 843, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4884498168861635, std values: 4.822493298430789, min values: 7.067e-07, max values: 38.141, median values: 0.24371, and quantile values: 0.25 0.069346\n0.50 0.243710\n0.75 0.936490\nName: 844, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.386687575035786, std values: 4.624639059692868, min values: 8.7089e-07, max values: 38.304, median values: 0.23042, and quantile values: 0.25 0.066048\n0.50 0.230420\n0.75 0.856055\nName: 845, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5442841400220126, std values: 5.107563301878906, min values: 2.9489e-06, max values: 41.965, median values: 0.23818, and quantile values: 0.25 0.071460\n0.50 0.238180\n0.75 0.948095\nName: 846, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6003342457125787, std values: 4.865510618861199, min values: 1.3107e-06, max values: 38.717, median values: 0.26143, and quantile values: 0.25 0.073007\n0.50 0.261430\n0.75 1.108800\nName: 847, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.445037760772956, std values: 4.829688065328791, min values: 1.622e-06, max values: 39.363, median values: 0.22337, and quantile values: 0.25 0.062893\n0.50 0.223370\n0.75 0.904100\nName: 848, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4979852285853459, std values: 4.851292631845764, min values: 5.0937e-07, max values: 38.446, median values: 0.21849, and quantile values: 0.25 0.063141\n0.50 0.218490\n0.75 0.915425\nName: 849, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.678150609762893, std values: 5.320367026680831, min values: 4.7948e-06, max values: 43.282, median values: 0.27814, and quantile values: 0.25 0.077701\n0.50 0.278140\n0.75 1.043400\nName: 850, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5776940166415092, std values: 5.151545251138946, min values: 1.7384e-06, max values: 43.466, median values: 0.24367, and quantile values: 0.25 0.068107\n0.50 0.243670\n0.75 0.998190\nName: 851, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6448590541779873, std values: 5.287045500237438, min values: 2.9483e-06, max values: 43.842, median values: 0.26127, and quantile values: 0.25 0.074681\n0.50 0.261270\n0.75 1.003160\nName: 852, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4547726536132075, std values: 4.680833927781081, min values: 1.4477e-06, max values: 38.636, median values: 0.2361, and quantile values: 0.25 0.066820\n0.50 0.236100\n0.75 0.908605\nName: 853, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5236762872798741, std values: 4.978618962253881, min values: 2.0415e-06, max values: 39.668, median values: 0.24836, and quantile values: 0.25 0.065477\n0.50 0.248360\n0.75 0.981830\nName: 854, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.694958609064151, std values: 5.047301389263332, min values: 2.0359e-06, max values: 39.946, median values: 0.30722, and quantile values: 0.25 0.088358\n0.50 0.307220\n0.75 1.156050\nName: 855, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.500739884011736, std values: 4.940895197226236, min values: 7.4426e-08, max values: 41.906, median values: 0.24335, and quantile values: 0.25 0.051538\n0.50 0.243350\n0.75 0.892495\nName: 856, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3954211139534594, std values: 4.826716818852234, min values: 1.8322e-06, max values: 38.626, median values: 0.21251, and quantile values: 0.25 0.064141\n0.50 0.212510\n0.75 0.858170\nName: 857, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5739697286836478, std values: 5.373455263783171, min values: 3.3634e-06, max values: 46.217, median values: 0.2197, and quantile values: 0.25 0.065342\n0.50 0.219700\n0.75 0.882490\nName: 858, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.566714679582893, std values: 4.840530512803235, min values: 3.9968e-07, max values: 37.732, median values: 0.26526, and quantile values: 0.25 0.063703\n0.50 0.265260\n0.75 1.004955\nName: 859, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5482999838572329, std values: 4.904431652888498, min values: 2.4415e-06, max values: 38.715, median values: 0.24094, and quantile values: 0.25 0.07581\n0.50 0.24094\n0.75 0.98106\nName: 860, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.504330006272956, std values: 5.011117029472258, min values: 1.517e-06, max values: 41.535, median values: 0.22361, and quantile values: 0.25 0.060079\n0.50 0.223610\n0.75 0.864445\nName: 861, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7464153055056604, std values: 5.2163365988578905, min values: 4.6951e-06, max values: 40.98, median values: 0.30587, and quantile values: 0.25 0.088533\n0.50 0.305870\n0.75 1.106500\nName: 862, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.529764083301258, std values: 4.863392619341642, min values: 1.4094e-06, max values: 38.585, median values: 0.23984, and quantile values: 0.25 0.064192\n0.50 0.239840\n0.75 0.985115\nName: 863, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.79961093142761, std values: 5.739819659802355, min values: 3.4989e-07, max values: 53.856, median values: 0.29172, and quantile values: 0.25 0.064022\n0.50 0.291720\n0.75 1.131050\nName: 864, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1860588312044655, std values: 4.586599336989514, min values: 7.0481e-07, max values: 38.573, median values: 0.12641, and quantile values: 0.25 0.041326\n0.50 0.126410\n0.75 0.595185\nName: 865, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.475679362593522, std values: 4.888368737334363, min values: 5.7657e-07, max values: 39.296, median values: 0.23539, and quantile values: 0.25 0.059937\n0.50 0.235390\n0.75 0.940110\nName: 866, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2942104332836477, std values: 4.548403969499923, min values: 2.073e-06, max values: 39.351, median values: 0.17954, and quantile values: 0.25 0.05285\n0.50 0.17954\n0.75 0.74374\nName: 867, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.463570176045912, std values: 4.829024195446238, min values: 1.629e-06, max values: 38.833, median values: 0.21839, and quantile values: 0.25 0.064668\n0.50 0.218390\n0.75 0.882030\nName: 868, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6827422208849054, std values: 5.141674954124333, min values: 3.6978e-06, max values: 40.65, median values: 0.27612, and quantile values: 0.25 0.073637\n0.50 0.276120\n0.75 1.088100\nName: 869, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3883432811334593, std values: 4.772462516540813, min values: 3.0642e-07, max values: 38.086, median values: 0.19794, and quantile values: 0.25 0.054887\n0.50 0.197940\n0.75 0.830205\nName: 870, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5501164635490565, std values: 4.8618214547965355, min values: 1.0429e-06, max values: 38.359, median values: 0.23807, and quantile values: 0.25 0.061422\n0.50 0.238070\n0.75 0.967400\nName: 871, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1885708733861633, std values: 4.701057393963525, min values: 8.096e-07, max values: 38.41, median values: 0.14676, and quantile values: 0.25 0.043243\n0.50 0.146760\n0.75 0.631125\nName: 872, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4059664551903144, std values: 4.915471985577606, min values: 7.0016e-07, max values: 41.077, median values: 0.19822, and quantile values: 0.25 0.056223\n0.50 0.198220\n0.75 0.822275\nName: 873, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3250952521433963, std values: 4.693359501661096, min values: 1.6049e-06, max values: 38.646, median values: 0.1758, and quantile values: 0.25 0.055153\n0.50 0.175800\n0.75 0.775610\nName: 874, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.462980457391069, std values: 5.056088092685356, min values: 7.4778e-07, max values: 42.489, median values: 0.17836, and quantile values: 0.25 0.060614\n0.50 0.178360\n0.75 0.856530\nName: 875, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6274341419295597, std values: 5.251616480393584, min values: 4.7288e-06, max values: 42.542, median values: 0.26333, and quantile values: 0.25 0.075618\n0.50 0.263330\n0.75 0.932650\nName: 876, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4297397457698113, std values: 4.6439231434830806, min values: 7.167e-07, max values: 37.656, median values: 0.21266, and quantile values: 0.25 0.067585\n0.50 0.212660\n0.75 0.861800\nName: 877, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5119250176660377, std values: 4.99949138646127, min values: 2.2154e-06, max values: 39.74, median values: 0.26141, and quantile values: 0.25 0.066042\n0.50 0.261410\n0.75 0.919470\nName: 878, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.496749361838742, std values: 4.9052415805838, min values: 4.4696e-07, max values: 39.666, median values: 0.19253, and quantile values: 0.25 0.052957\n0.50 0.192530\n0.75 0.870255\nName: 879, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3191080963202264, std values: 4.657096010936944, min values: 6.2816e-08, max values: 37.343, median values: 0.19429, and quantile values: 0.25 0.052369\n0.50 0.194290\n0.75 0.781485\nName: 880, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6310435449402518, std values: 4.78507914696452, min values: 1.1678e-06, max values: 39.248, median values: 0.25294, and quantile values: 0.25 0.072222\n0.50 0.252940\n0.75 1.126200\nName: 881, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4155873226271698, std values: 4.866977780044219, min values: 6.3892e-07, max values: 39.301, median values: 0.2016, and quantile values: 0.25 0.051996\n0.50 0.201600\n0.75 0.821930\nName: 882, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5931384694138366, std values: 5.1005040095523135, min values: 4.922e-06, max values: 40.243, median values: 0.26539, and quantile values: 0.25 0.085992\n0.50 0.265390\n0.75 0.963400\nName: 883, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6476455707266038, std values: 5.146143822942642, min values: 3.8643e-07, max values: 43.517, median values: 0.24275, and quantile values: 0.25 0.064571\n0.50 0.242750\n0.75 1.104650\nName: 884, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6131466109767294, std values: 5.196190931447518, min values: 1.9986e-06, max values: 43.518, median values: 0.25897, and quantile values: 0.25 0.067898\n0.50 0.258970\n0.75 0.999600\nName: 885, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3424144825422641, std values: 4.752770769910087, min values: 5.2422e-07, max values: 38.229, median values: 0.17926, and quantile values: 0.25 0.052257\n0.50 0.179260\n0.75 0.698950\nName: 886, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3582332334259748, std values: 4.608589741687068, min values: 1.9213e-07, max values: 37.395, median values: 0.17449, and quantile values: 0.25 0.046780\n0.50 0.174490\n0.75 0.822195\nName: 887, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4526166420333333, std values: 5.045136723889937, min values: 3.9812e-06, max values: 40.903, median values: 0.21977, and quantile values: 0.25 0.066681\n0.50 0.219770\n0.75 0.811505\nName: 888, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6112601011880503, std values: 4.923668931798639, min values: 3.384e-06, max values: 39.558, median values: 0.2526, and quantile values: 0.25 0.081383\n0.50 0.252600\n0.75 1.084550\nName: 889, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5927512680698113, std values: 4.90317888868261, min values: 1.0038e-06, max values: 38.408, median values: 0.22885, and quantile values: 0.25 0.071554\n0.50 0.228850\n0.75 1.034500\nName: 890, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.797240763616352, std values: 5.356368383552847, min values: 1.5271e-06, max values: 45.904, median values: 0.31588, and quantile values: 0.25 0.087133\n0.50 0.315880\n0.75 1.262050\nName: 891, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4817192092149685, std values: 4.757285118491241, min values: 9.4988e-07, max values: 37.974, median values: 0.22813, and quantile values: 0.25 0.062903\n0.50 0.228130\n0.75 0.906395\nName: 892, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5179385538943397, std values: 5.033700116727335, min values: 3.0834e-06, max values: 40.56, median values: 0.23271, and quantile values: 0.25 0.059408\n0.50 0.232710\n0.75 0.875255\nName: 893, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5865384018345914, std values: 5.0835670648545035, min values: 2.4049e-06, max values: 41.429, median values: 0.239, and quantile values: 0.25 0.069283\n0.50 0.239000\n0.75 0.993720\nName: 894, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7410673152339626, std values: 5.222788782719153, min values: 3.0637e-06, max values: 42.258, median values: 0.32519, and quantile values: 0.25 0.079254\n0.50 0.325190\n0.75 1.170300\nName: 895, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.793166744234591, std values: 5.014350740045713, min values: 1.8168e-06, max values: 38.316, median values: 0.32061, and quantile values: 0.25 0.08870\n0.50 0.32061\n0.75 1.26355\nName: 896, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4289882447314715, std values: 4.812073597859453, min values: 2.4374e-08, max values: 39.263, median values: 0.19318, and quantile values: 0.25 0.044955\n0.50 0.193180\n0.75 0.839595\nName: 897, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3496340489661636, std values: 4.796102321421084, min values: 3.0192e-07, max values: 39.461, median values: 0.17349, and quantile values: 0.25 0.050595\n0.50 0.173490\n0.75 0.810550\nName: 898, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5679858588437106, std values: 4.858360716254615, min values: 8.7645e-07, max values: 38.016, median values: 0.26238, and quantile values: 0.25 0.065631\n0.50 0.262380\n0.75 1.064750\nName: 899, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.336527398998239, std values: 4.58431454021057, min values: 7.2962e-07, max values: 38.693, median values: 0.17629, and quantile values: 0.25 0.05640\n0.50 0.17629\n0.75 0.76682\nName: 900, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6679891174918238, std values: 5.265460058202708, min values: 2.7973e-06, max values: 43.533, median values: 0.25678, and quantile values: 0.25 0.08081\n0.50 0.25678\n0.75 1.08675\nName: 901, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3338012447813083, std values: 4.832004476618055, min values: 2.8398e-08, max values: 40.108, median values: 0.19056, and quantile values: 0.25 0.042713\n0.50 0.190560\n0.75 0.718410\nName: 902, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3106036722937109, std values: 4.828234980220235, min values: 2.6455e-06, max values: 40.161, median values: 0.18919, and quantile values: 0.25 0.047022\n0.50 0.189190\n0.75 0.699675\nName: 903, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.406667214310063, std values: 4.656826840097797, min values: 1.3591e-06, max values: 38.79, median values: 0.19839, and quantile values: 0.25 0.062377\n0.50 0.198390\n0.75 0.842670\nName: 904, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5970404555440252, std values: 4.9256611681587446, min values: 3.0493e-06, max values: 39.349, median values: 0.27763, and quantile values: 0.25 0.071637\n0.50 0.277630\n0.75 1.029250\nName: 905, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5290697898056604, std values: 4.943120181325165, min values: 1.9818e-06, max values: 39.178, median values: 0.26585, and quantile values: 0.25 0.065272\n0.50 0.265850\n0.75 1.028075\nName: 906, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3704591780792454, std values: 4.974086839101976, min values: 3.4389e-06, max values: 41.466, median values: 0.18024, and quantile values: 0.25 0.052188\n0.50 0.180240\n0.75 0.615015\nName: 907, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7266288001459118, std values: 5.123125753414436, min values: 1.6899e-06, max values: 41.095, median values: 0.2863, and quantile values: 0.25 0.082322\n0.50 0.286300\n0.75 1.186350\nName: 908, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6215389407672958, std values: 4.984952518561399, min values: 4.023e-06, max values: 39.615, median values: 0.2687, and quantile values: 0.25 0.084648\n0.50 0.268700\n0.75 1.012175\nName: 909, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7187605963157233, std values: 5.349286124262017, min values: 4.6684e-06, max values: 44.505, median values: 0.27042, and quantile values: 0.25 0.077898\n0.50 0.270420\n0.75 1.071100\nName: 910, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5878933396660377, std values: 5.139149522511369, min values: 5.152e-06, max values: 40.697, median values: 0.26503, and quantile values: 0.25 0.070979\n0.50 0.265030\n0.75 0.914695\nName: 911, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5616668410025156, std values: 4.745484633862222, min values: 5.461e-07, max values: 38.089, median values: 0.24962, and quantile values: 0.25 0.061592\n0.50 0.249620\n0.75 1.081850\nName: 912, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3570345801487547, std values: 4.521531149714484, min values: 3.1532e-08, max values: 36.578, median values: 0.1761, and quantile values: 0.25 0.046489\n0.50 0.176100\n0.75 0.867325\nName: 913, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9055109066709435, std values: 5.142637357189342, min values: 3.7668e-07, max values: 39.836, median values: 0.291, and quantile values: 0.25 0.077978\n0.50 0.291000\n0.75 1.329050\nName: 914, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4832445084359558, std values: 4.8822648664259685, min values: 5.9777e-08, max values: 40.283, median values: 0.19734, and quantile values: 0.25 0.043377\n0.50 0.197340\n0.75 0.822525\nName: 915, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4727250936522642, std values: 4.660646760841328, min values: 3.2916e-07, max values: 36.516, median values: 0.2217, and quantile values: 0.25 0.057178\n0.50 0.221700\n0.75 0.908340\nName: 916, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5529848189572326, std values: 4.882621784279486, min values: 3.553e-06, max values: 40.423, median values: 0.23437, and quantile values: 0.25 0.073960\n0.50 0.234370\n0.75 0.921875\nName: 917, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7176495363201256, std values: 5.168328317943028, min values: 4.2043e-06, max values: 40.676, median values: 0.28239, and quantile values: 0.25 0.086334\n0.50 0.282390\n0.75 1.123750\nName: 918, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5730073173421384, std values: 4.896082371771769, min values: 1.4797e-06, max values: 38.663, median values: 0.20734, and quantile values: 0.25 0.065703\n0.50 0.207340\n0.75 1.009385\nName: 919, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4591459683975474, std values: 4.839368752853347, min values: 6.5751e-07, max values: 38.766, median values: 0.20033, and quantile values: 0.25 0.061694\n0.50 0.200330\n0.75 0.880885\nName: 920, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6415716386691823, std values: 5.231675090224973, min values: 4.2133e-06, max values: 41.692, median values: 0.28695, and quantile values: 0.25 0.076752\n0.50 0.286950\n0.75 0.967025\nName: 921, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.274108558943151, std values: 4.648996167494357, min values: 2.0841e-08, max values: 37.061, median values: 0.16501, and quantile values: 0.25 0.043969\n0.50 0.165010\n0.75 0.662760\nName: 922, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4466415513949686, std values: 4.697218246203498, min values: 1.2815e-06, max values: 38.197, median values: 0.24574, and quantile values: 0.25 0.066481\n0.50 0.245740\n0.75 0.847185\nName: 923, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5140937007316984, std values: 5.062597166310129, min values: 7.5254e-07, max values: 42.565, median values: 0.21522, and quantile values: 0.25 0.05789\n0.50 0.21522\n0.75 0.83746\nName: 924, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.576577681007107, std values: 4.744648067501031, min values: 1.4713e-07, max values: 37.231, median values: 0.25129, and quantile values: 0.25 0.06045\n0.50 0.25129\n0.75 1.06545\nName: 925, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.320144666572956, std values: 4.775629450379714, min values: 1.9234e-06, max values: 39.438, median values: 0.19248, and quantile values: 0.25 0.056452\n0.50 0.192480\n0.75 0.726480\nName: 926, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.467915780534088, std values: 4.90526917406395, min values: 8.9932e-07, max values: 38.921, median values: 0.20819, and quantile values: 0.25 0.059326\n0.50 0.208190\n0.75 0.890425\nName: 927, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.518001244844654, std values: 4.860414308087041, min values: 1.5426e-06, max values: 39.225, median values: 0.23291, and quantile values: 0.25 0.067172\n0.50 0.232910\n0.75 0.948620\nName: 928, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5417439679719498, std values: 4.911732701251236, min values: 6.1754e-07, max values: 39.727, median values: 0.23249, and quantile values: 0.25 0.060151\n0.50 0.232490\n0.75 0.941870\nName: 929, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5327959586018869, std values: 5.068372095505603, min values: 2.5823e-06, max values: 41.132, median values: 0.25756, and quantile values: 0.25 0.068989\n0.50 0.257560\n0.75 0.984360\nName: 930, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.548626601300629, std values: 5.230000139519101, min values: 7.0978e-06, max values: 41.575, median values: 0.24041, and quantile values: 0.25 0.065915\n0.50 0.240410\n0.75 0.843215\nName: 931, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2331477772940063, std values: 4.333542062527229, min values: 2.9967e-08, max values: 36.64, median values: 0.16128, and quantile values: 0.25 0.041347\n0.50 0.161280\n0.75 0.686660\nName: 932, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6519104247437735, std values: 4.77285479190798, min values: 6.9526e-07, max values: 38.594, median values: 0.28844, and quantile values: 0.25 0.080218\n0.50 0.288440\n0.75 1.163250\nName: 933, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.437663748318239, std values: 4.864016133614229, min values: 1.86e-06, max values: 39.293, median values: 0.21055, and quantile values: 0.25 0.061249\n0.50 0.210550\n0.75 0.873675\nName: 934, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.369531641863459, std values: 4.688006032983038, min values: 4.218e-07, max values: 37.5, median values: 0.18006, and quantile values: 0.25 0.043291\n0.50 0.180060\n0.75 0.780335\nName: 935, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6924618378817609, std values: 5.11555261484046, min values: 4.6428e-06, max values: 40.184, median values: 0.29995, and quantile values: 0.25 0.087963\n0.50 0.299950\n0.75 1.059250\nName: 936, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2834478796415096, std values: 4.634450194823328, min values: 2.5725e-06, max values: 39.847, median values: 0.17404, and quantile values: 0.25 0.045559\n0.50 0.174040\n0.75 0.710620\nName: 937, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5258117244729559, std values: 4.918366654657542, min values: 1.0203e-06, max values: 39.578, median values: 0.26162, and quantile values: 0.25 0.070947\n0.50 0.261620\n0.75 0.985560\nName: 938, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4178080647823899, std values: 4.742364606465132, min values: 1.143e-06, max values: 38.466, median values: 0.24013, and quantile values: 0.25 0.063794\n0.50 0.240130\n0.75 0.807410\nName: 939, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4989293393433962, std values: 4.874368463452562, min values: 1.5094e-06, max values: 38.423, median values: 0.23776, and quantile values: 0.25 0.062897\n0.50 0.237760\n0.75 0.965330\nName: 940, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4461506259433963, std values: 5.157961527153577, min values: 3.9388e-06, max values: 42.516, median values: 0.1981, and quantile values: 0.25 0.057236\n0.50 0.198100\n0.75 0.730125\nName: 941, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5672745415867924, std values: 5.148404212122956, min values: 2.8516e-06, max values: 41.692, median values: 0.23334, and quantile values: 0.25 0.076134\n0.50 0.233340\n0.75 0.932915\nName: 942, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.622361783653019, std values: 4.8508156883028795, min values: 1.5463e-07, max values: 38.001, median values: 0.28189, and quantile values: 0.25 0.064899\n0.50 0.281890\n0.75 1.146750\nName: 943, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5374310704789307, std values: 4.996483749606561, min values: 2.7555e-07, max values: 41.814, median values: 0.24242, and quantile values: 0.25 0.061148\n0.50 0.242420\n0.75 0.899925\nName: 944, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2773583222619496, std values: 4.816983706615977, min values: 4.9655e-07, max values: 40.119, median values: 0.1569, and quantile values: 0.25 0.041800\n0.50 0.156900\n0.75 0.653265\nName: 945, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.253728693225975, std values: 4.72124943428107, min values: 6.8023e-07, max values: 38.557, median values: 0.16794, and quantile values: 0.25 0.058106\n0.50 0.167940\n0.75 0.676870\nName: 946, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5094131997314466, std values: 5.13174431671128, min values: 2.323e-06, max values: 43.232, median values: 0.23188, and quantile values: 0.25 0.072272\n0.50 0.231880\n0.75 0.937415\nName: 947, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4089224450633773, std values: 4.817472691473705, min values: 9.5347e-08, max values: 40.026, median values: 0.16465, and quantile values: 0.25 0.038872\n0.50 0.164650\n0.75 0.745040\nName: 948, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.333714766705346, std values: 4.9537686338869396, min values: 1.8489e-07, max values: 42.929, median values: 0.18218, and quantile values: 0.25 0.047990\n0.50 0.182180\n0.75 0.732665\nName: 949, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3882009873579875, std values: 4.8220523960789095, min values: 2.3812e-07, max values: 38.688, median values: 0.16521, and quantile values: 0.25 0.043418\n0.50 0.165210\n0.75 0.784220\nName: 950, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3285524357021823, std values: 4.754396624608879, min values: 3.0507e-08, max values: 38.552, median values: 0.19049, and quantile values: 0.25 0.044301\n0.50 0.190490\n0.75 0.744805\nName: 951, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4212237164169814, std values: 4.843142208275847, min values: 1.454e-06, max values: 39.484, median values: 0.22109, and quantile values: 0.25 0.068761\n0.50 0.221090\n0.75 0.873470\nName: 952, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5115725362842767, std values: 5.049948323946508, min values: 3.7707e-06, max values: 40.381, median values: 0.22509, and quantile values: 0.25 0.070825\n0.50 0.225090\n0.75 0.870475\nName: 953, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7583171598194964, std values: 5.308495239951778, min values: 4.9351e-06, max values: 42.48, median values: 0.30907, and quantile values: 0.25 0.086538\n0.50 0.309070\n0.75 1.047800\nName: 954, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4958144815329684, std values: 4.699343518744703, min values: 5.9742e-08, max values: 37.361, median values: 0.23743, and quantile values: 0.25 0.059724\n0.50 0.237430\n0.75 0.911325\nName: 955, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.0260798094937105, std values: 5.191785099277438, min values: 3.0762e-06, max values: 39.025, median values: 0.38137, and quantile values: 0.25 0.11321\n0.50 0.38137\n0.75 1.39615\nName: 956, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5617992455314464, std values: 5.225024503748026, min values: 4.0786e-06, max values: 43.39, median values: 0.22929, and quantile values: 0.25 0.084145\n0.50 0.229290\n0.75 0.885735\nName: 957, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5818867474037737, std values: 4.9818445379591285, min values: 3.6918e-06, max values: 38.98, median values: 0.28304, and quantile values: 0.25 0.084854\n0.50 0.283040\n0.75 0.931395\nName: 958, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6506501536987421, std values: 5.069043285753444, min values: 4.8767e-06, max values: 40.283, median values: 0.27885, and quantile values: 0.25 0.080699\n0.50 0.278850\n0.75 0.985295\nName: 959, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4693988874137107, std values: 4.964717973338532, min values: 7.3728e-07, max values: 41.19, median values: 0.22087, and quantile values: 0.25 0.068062\n0.50 0.220870\n0.75 0.938390\nName: 960, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4009908993962263, std values: 4.992444099692186, min values: 2.1247e-06, max values: 40.937, median values: 0.18059, and quantile values: 0.25 0.057792\n0.50 0.180590\n0.75 0.784095\nName: 961, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.662458085251572, std values: 5.498898696491048, min values: 1.4797e-06, max values: 48.67, median values: 0.2256, and quantile values: 0.25 0.067276\n0.50 0.225600\n0.75 1.033350\nName: 962, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4178093816484905, std values: 4.906716172027696, min values: 3.2351e-07, max values: 40.686, median values: 0.20245, and quantile values: 0.25 0.055664\n0.50 0.202450\n0.75 0.797630\nName: 963, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2994352638341506, std values: 4.661663048337302, min values: 5.8483e-07, max values: 37.271, median values: 0.18681, and quantile values: 0.25 0.057180\n0.50 0.186810\n0.75 0.758545\nName: 964, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3695248313849055, std values: 4.743319789005884, min values: 3.5792e-06, max values: 40.531, median values: 0.19662, and quantile values: 0.25 0.058137\n0.50 0.196620\n0.75 0.795625\nName: 965, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5521009436621385, std values: 5.074329098575284, min values: 9.9168e-07, max values: 42.747, median values: 0.24209, and quantile values: 0.25 0.071527\n0.50 0.242090\n0.75 0.990965\nName: 966, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6520357683943394, std values: 5.108613951037065, min values: 4.2196e-06, max values: 40.239, median values: 0.27964, and quantile values: 0.25 0.080901\n0.50 0.279640\n0.75 1.057650\nName: 967, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5865290815364776, std values: 4.900489710954203, min values: 3.0965e-06, max values: 39.256, median values: 0.2818, and quantile values: 0.25 0.072821\n0.50 0.281800\n0.75 1.089900\nName: 968, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4647892793937107, std values: 4.786160890931571, min values: 4.6023e-06, max values: 40.632, median values: 0.21375, and quantile values: 0.25 0.072708\n0.50 0.213750\n0.75 0.827625\nName: 969, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4666463166069181, std values: 4.855290495080468, min values: 5.8211e-06, max values: 41.266, median values: 0.24318, and quantile values: 0.25 0.073802\n0.50 0.243180\n0.75 0.821450\nName: 970, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.444592881527673, std values: 4.8364954734800305, min values: 1.7821e-06, max values: 39.982, median values: 0.21204, and quantile values: 0.25 0.063843\n0.50 0.212040\n0.75 0.860570\nName: 971, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.571901733662893, std values: 4.9750872381714615, min values: 2.6422e-06, max values: 39.732, median values: 0.25302, and quantile values: 0.25 0.074467\n0.50 0.253020\n0.75 1.005730\nName: 972, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3612543378295598, std values: 4.848415305392001, min values: 1.9985e-06, max values: 39.279, median values: 0.19504, and quantile values: 0.25 0.053615\n0.50 0.195040\n0.75 0.776990\nName: 973, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7847867077943393, std values: 5.24199660575756, min values: 2.998e-06, max values: 41.667, median values: 0.29538, and quantile values: 0.25 0.089272\n0.50 0.295380\n0.75 1.227900\nName: 974, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6482586715201257, std values: 5.143517321322388, min values: 2.8117e-06, max values: 41.841, median values: 0.28008, and quantile values: 0.25 0.077615\n0.50 0.280080\n0.75 1.076300\nName: 975, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5610947678496856, std values: 4.91652903231506, min values: 1.9276e-06, max values: 39.453, median values: 0.27002, and quantile values: 0.25 0.070292\n0.50 0.270020\n0.75 1.022330\nName: 976, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5042871186644715, std values: 5.12608993722153, min values: 2.7131e-08, max values: 44.911, median values: 0.20215, and quantile values: 0.25 0.052639\n0.50 0.202150\n0.75 0.941170\nName: 977, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3875084294572326, std values: 4.86114615615753, min values: 2.2921e-06, max values: 39.165, median values: 0.20571, and quantile values: 0.25 0.057009\n0.50 0.205710\n0.75 0.821260\nName: 978, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3059007420720754, std values: 4.805609323803644, min values: 9.5296e-07, max values: 39.037, median values: 0.17151, and quantile values: 0.25 0.053157\n0.50 0.171510\n0.75 0.709555\nName: 979, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6190840295367923, std values: 4.904193593309963, min values: 1.4719e-07, max values: 39.657, median values: 0.24572, and quantile values: 0.25 0.063326\n0.50 0.245720\n0.75 0.999015\nName: 980, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6658309119574213, std values: 5.21323231680502, min values: 4.0093e-07, max values: 44.494, median values: 0.29695, and quantile values: 0.25 0.073832\n0.50 0.296950\n0.75 1.074200\nName: 981, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5626122718308175, std values: 5.146477395920867, min values: 1.0575e-06, max values: 43.987, median values: 0.24016, and quantile values: 0.25 0.071723\n0.50 0.240160\n0.75 0.942850\nName: 982, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3384135731438993, std values: 4.808527193692183, min values: 6.2128e-07, max values: 38.599, median values: 0.17749, and quantile values: 0.25 0.050560\n0.50 0.177490\n0.75 0.728255\nName: 983, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5043110351402516, std values: 4.733572202758706, min values: 2.285e-07, max values: 37.635, median values: 0.21511, and quantile values: 0.25 0.05189\n0.50 0.21511\n0.75 1.02210\nName: 984, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5602247731018868, std values: 5.090071241793822, min values: 1.7831e-06, max values: 42.773, median values: 0.24861, and quantile values: 0.25 0.070400\n0.50 0.248610\n0.75 0.958315\nName: 985, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.354077185285786, std values: 4.58750528463505, min values: 7.7664e-07, max values: 38.399, median values: 0.18109, and quantile values: 0.25 0.058682\n0.50 0.181090\n0.75 0.835105\nName: 986, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4498942158421384, std values: 4.865484848677546, min values: 7.209e-07, max values: 38.915, median values: 0.23768, and quantile values: 0.25 0.061335\n0.50 0.237680\n0.75 0.877145\nName: 987, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3274958448402514, std values: 5.15505276967735, min values: 1.8311e-06, max values: 43.984, median values: 0.16268, and quantile values: 0.25 0.048208\n0.50 0.162680\n0.75 0.668085\nName: 988, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.552968608105717, std values: 4.837945666206851, min values: 8.7009e-08, max values: 38.349, median values: 0.20802, and quantile values: 0.25 0.061402\n0.50 0.208020\n0.75 0.949370\nName: 989, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4749726849906917, std values: 5.045888270243712, min values: 2.9772e-07, max values: 42.827, median values: 0.20444, and quantile values: 0.25 0.058434\n0.50 0.204440\n0.75 0.924235\nName: 990, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.720314524444654, std values: 5.150901666470926, min values: 4.1714e-06, max values: 40.26, median values: 0.32458, and quantile values: 0.25 0.084437\n0.50 0.324580\n0.75 1.055000\nName: 991, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7450841421584906, std values: 5.079727226243488, min values: 6.4611e-06, max values: 40.202, median values: 0.29458, and quantile values: 0.25 0.09140\n0.50 0.29458\n0.75 1.09265\nName: 992, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4382949724679246, std values: 5.10509840895836, min values: 1.6806e-06, max values: 42.916, median values: 0.21756, and quantile values: 0.25 0.056067\n0.50 0.217560\n0.75 0.891925\nName: 993, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4853629104018868, std values: 5.096099224828061, min values: 1.1091e-06, max values: 42.867, median values: 0.21401, and quantile values: 0.25 0.061631\n0.50 0.214010\n0.75 0.875830\nName: 994, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.489886523943396, std values: 4.883001897302315, min values: 3.4248e-06, max values: 40.361, median values: 0.22571, and quantile values: 0.25 0.066852\n0.50 0.225710\n0.75 0.862315\nName: 995, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3920283965522011, std values: 4.970944088602908, min values: 1.0151e-06, max values: 40.94, median values: 0.19637, and quantile values: 0.25 0.052520\n0.50 0.196370\n0.75 0.777485\nName: 996, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3770764484597484, std values: 4.772769044551665, min values: 2.6536e-07, max values: 38.798, median values: 0.18294, and quantile values: 0.25 0.043159\n0.50 0.182940\n0.75 0.725135\nName: 997, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3704891310947798, std values: 4.746698233974611, min values: 6.5579e-07, max values: 38.788, median values: 0.16291, and quantile values: 0.25 0.044876\n0.50 0.162910\n0.75 0.684975\nName: 998, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3131398735416981, std values: 4.789194432807107, min values: 7.5493e-07, max values: 38.631, median values: 0.17836, and quantile values: 0.25 0.051238\n0.50 0.178360\n0.75 0.676105\nName: 999, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5367116986591196, std values: 5.156896207580101, min values: 1.7245e-06, max values: 43.366, median values: 0.2328, and quantile values: 0.25 0.069866\n0.50 0.232800\n0.75 0.915340\nName: 1000, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3986847290245283, std values: 4.796001425752393, min values: 1.6087e-06, max values: 39.118, median values: 0.20892, and quantile values: 0.25 0.060969\n0.50 0.208920\n0.75 0.813490\nName: 1001, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4884151255496854, std values: 5.001111510894527, min values: 1.5508e-06, max values: 40.724, median values: 0.22109, and quantile values: 0.25 0.066687\n0.50 0.221090\n0.75 0.894280\nName: 1002, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6390532598308178, std values: 5.000056072281988, min values: 3.6065e-06, max values: 40.044, median values: 0.25092, and quantile values: 0.25 0.081626\n0.50 0.250920\n0.75 1.015805\nName: 1003, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5457331549710691, std values: 5.2425073270961935, min values: 3.1509e-06, max values: 44.315, median values: 0.25238, and quantile values: 0.25 0.065083\n0.50 0.252380\n0.75 0.910360\nName: 1004, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.626221067925346, std values: 5.024110082475996, min values: 9.8713e-07, max values: 40.723, median values: 0.26035, and quantile values: 0.25 0.065225\n0.50 0.260350\n0.75 1.091700\nName: 1005, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4984267172157923, std values: 4.934654573127599, min values: 2.0011e-08, max values: 40.761, median values: 0.19423, and quantile values: 0.25 0.048978\n0.50 0.194230\n0.75 0.894275\nName: 1006, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3326732675383648, std values: 4.602520885626773, min values: 2.9445e-06, max values: 39.322, median values: 0.22345, and quantile values: 0.25 0.066576\n0.50 0.223450\n0.75 0.791525\nName: 1007, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5371971826610062, std values: 4.861950552959914, min values: 2.6398e-06, max values: 39.298, median values: 0.25252, and quantile values: 0.25 0.072511\n0.50 0.252520\n0.75 0.969745\nName: 1008, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6447958752633336, std values: 5.071687519344742, min values: 8.5197e-07, max values: 41.275, median values: 0.25621, and quantile values: 0.25 0.065339\n0.50 0.256210\n0.75 1.116000\nName: 1009, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3839017536884906, std values: 4.7851518164086055, min values: 5.2927e-07, max values: 38.588, median values: 0.19135, and quantile values: 0.25 0.059118\n0.50 0.191350\n0.75 0.778610\nName: 1010, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.420632464125849, std values: 4.92615706238332, min values: 4.1172e-07, max values: 41.387, median values: 0.18983, and quantile values: 0.25 0.044360\n0.50 0.189830\n0.75 0.800245\nName: 1011, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8724578823389937, std values: 5.4630578581450235, min values: 8.8489e-06, max values: 41.702, median values: 0.30332, and quantile values: 0.25 0.093372\n0.50 0.303320\n0.75 1.215450\nName: 1012, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7391209675088048, std values: 5.114510994408289, min values: 2.257e-06, max values: 41.227, median values: 0.32263, and quantile values: 0.25 0.081048\n0.50 0.322630\n0.75 1.198850\nName: 1013, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4095074727581762, std values: 4.736569849799895, min values: 2.0025e-07, max values: 37.588, median values: 0.21411, and quantile values: 0.25 0.053933\n0.50 0.214110\n0.75 0.841145\nName: 1014, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.510285179490566, std values: 5.203094782597186, min values: 2.7457e-06, max values: 43.883, median values: 0.2284, and quantile values: 0.25 0.072559\n0.50 0.228400\n0.75 0.892065\nName: 1015, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3799242286955975, std values: 4.962576015463023, min values: 1.4922e-06, max values: 40.91, median values: 0.19647, and quantile values: 0.25 0.053861\n0.50 0.196470\n0.75 0.825100\nName: 1016, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6162301631961007, std values: 4.981514793689578, min values: 4.0558e-07, max values: 40.436, median values: 0.26475, and quantile values: 0.25 0.070385\n0.50 0.264750\n0.75 1.116500\nName: 1017, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6768278014416855, std values: 5.231342586344712, min values: 2.9488e-08, max values: 45.64, median values: 0.21417, and quantile values: 0.25 0.058052\n0.50 0.214170\n0.75 1.107150\nName: 1018, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4843526270018867, std values: 4.888729645258328, min values: 1.317e-06, max values: 40.761, median values: 0.20819, and quantile values: 0.25 0.061673\n0.50 0.208190\n0.75 0.870000\nName: 1019, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5822413918534592, std values: 5.15408713194974, min values: 2.5218e-06, max values: 42.894, median values: 0.2657, and quantile values: 0.25 0.076772\n0.50 0.265700\n0.75 0.995185\nName: 1020, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7442418821548427, std values: 5.633174731925009, min values: 6.0882e-07, max values: 51.212, median values: 0.24775, and quantile values: 0.25 0.068773\n0.50 0.247750\n0.75 1.152700\nName: 1021, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8056136822961637, std values: 5.299039352808425, min values: 5.3159e-07, max values: 44.804, median values: 0.28841, and quantile values: 0.25 0.078163\n0.50 0.288410\n0.75 1.265850\nName: 1022, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5072046922528304, std values: 4.889289361151336, min values: 2.3675e-06, max values: 38.718, median values: 0.2256, and quantile values: 0.25 0.065801\n0.50 0.225600\n0.75 0.924450\nName: 1023, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.527375151192453, std values: 5.028551405247691, min values: 1.4799e-06, max values: 41.095, median values: 0.20441, and quantile values: 0.25 0.061105\n0.50 0.204410\n0.75 0.944830\nName: 1024, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4935089607813836, std values: 4.922658224127341, min values: 3.3464e-07, max values: 40.339, median values: 0.20961, and quantile values: 0.25 0.062116\n0.50 0.209610\n0.75 0.934365\nName: 1025, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.742762115145912, std values: 5.240080400652681, min values: 4.0183e-06, max values: 40.664, median values: 0.29606, and quantile values: 0.25 0.08042\n0.50 0.29606\n0.75 1.06610\nName: 1026, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5542367145389937, std values: 5.006214615993035, min values: 1.3312e-06, max values: 40.664, median values: 0.2415, and quantile values: 0.25 0.065748\n0.50 0.241500\n0.75 0.937260\nName: 1027, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.713486500586723, std values: 5.1643169773254005, min values: 2.3539e-08, max values: 44.07, median values: 0.23973, and quantile values: 0.25 0.05836\n0.50 0.23973\n0.75 1.08985\nName: 1028, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3522436916791825, std values: 4.927179606504484, min values: 5.2049e-07, max values: 42.419, median values: 0.1948, and quantile values: 0.25 0.057568\n0.50 0.194800\n0.75 0.774190\nName: 1029, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2924487582125785, std values: 4.7901694976878835, min values: 1.6215e-06, max values: 38.927, median values: 0.17779, and quantile values: 0.25 0.05298\n0.50 0.17779\n0.75 0.72530\nName: 1030, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7430575384603773, std values: 5.073754024363478, min values: 2.8298e-06, max values: 39.743, median values: 0.31012, and quantile values: 0.25 0.085445\n0.50 0.310120\n0.75 1.171450\nName: 1031, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.235905231108805, std values: 4.807014875195072, min values: 1.7498e-06, max values: 38.861, median values: 0.15425, and quantile values: 0.25 0.048157\n0.50 0.154250\n0.75 0.633045\nName: 1032, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6628348584761006, std values: 5.208870903257322, min values: 2.6666e-06, max values: 41.955, median values: 0.25092, and quantile values: 0.25 0.071578\n0.50 0.250920\n0.75 1.052500\nName: 1033, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2615006887836668, std values: 4.657424480860761, min values: 1.5046e-08, max values: 38.814, median values: 0.13916, and quantile values: 0.25 0.030384\n0.50 0.139160\n0.75 0.629175\nName: 1034, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6167846993421382, std values: 4.994044816346097, min values: 1.9339e-06, max values: 39.669, median values: 0.25725, and quantile values: 0.25 0.07564\n0.50 0.25725\n0.75 1.06395\nName: 1035, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.498875111952201, std values: 4.857204360997887, min values: 2.5757e-06, max values: 39.254, median values: 0.21646, and quantile values: 0.25 0.06736\n0.50 0.21646\n0.75 0.92168\nName: 1036, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4042620130723271, std values: 4.866043053402703, min values: 2.7766e-06, max values: 39.593, median values: 0.204, and quantile values: 0.25 0.064910\n0.50 0.204000\n0.75 0.777115\nName: 1037, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3893135189794341, std values: 4.9470327722106875, min values: 5.5303e-07, max values: 40.786, median values: 0.19133, and quantile values: 0.25 0.05490\n0.50 0.19133\n0.75 0.79761\nName: 1038, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6339965983452829, std values: 5.064321969911643, min values: 5.7377e-06, max values: 41.062, median values: 0.28857, and quantile values: 0.25 0.064071\n0.50 0.288570\n0.75 0.951640\nName: 1039, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4503111122792451, std values: 4.712313051634093, min values: 2.3538e-06, max values: 39.233, median values: 0.20672, and quantile values: 0.25 0.062507\n0.50 0.206720\n0.75 0.918320\nName: 1040, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4189316523184279, std values: 4.8040477331030305, min values: 1.78e-07, max values: 39.312, median values: 0.20788, and quantile values: 0.25 0.055636\n0.50 0.207880\n0.75 0.869050\nName: 1041, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4452585120874213, std values: 4.917300243773155, min values: 2.8722e-06, max values: 39.68, median values: 0.24339, and quantile values: 0.25 0.064170\n0.50 0.243390\n0.75 0.826845\nName: 1042, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2615486614430818, std values: 4.761554753229058, min values: 3.5425e-07, max values: 39.008, median values: 0.17902, and quantile values: 0.25 0.051492\n0.50 0.179020\n0.75 0.699995\nName: 1043, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4857179965836476, std values: 4.845700516693123, min values: 2.2883e-06, max values: 40.109, median values: 0.23567, and quantile values: 0.25 0.06810\n0.50 0.23567\n0.75 0.85923\nName: 1044, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.349703835912956, std values: 4.750415914455609, min values: 2.7416e-07, max values: 37.971, median values: 0.15911, and quantile values: 0.25 0.046575\n0.50 0.159110\n0.75 0.705390\nName: 1045, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3873400178383648, std values: 4.971172939689964, min values: 3.0127e-06, max values: 40.355, median values: 0.20057, and quantile values: 0.25 0.05516\n0.50 0.20057\n0.75 0.74352\nName: 1046, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4130289108818868, std values: 4.819769372295717, min values: 2.1032e-07, max values: 38.669, median values: 0.20352, and quantile values: 0.25 0.059251\n0.50 0.203520\n0.75 0.793080\nName: 1047, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4668095417818239, std values: 4.810330038065358, min values: 6.2011e-07, max values: 38.531, median values: 0.24105, and quantile values: 0.25 0.067057\n0.50 0.241050\n0.75 0.891640\nName: 1048, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.805631614745283, std values: 5.312116266324588, min values: 1.0283e-06, max values: 44.159, median values: 0.26946, and quantile values: 0.25 0.07053\n0.50 0.26946\n0.75 1.23055\nName: 1049, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3286140995010063, std values: 4.799114924147344, min values: 6.9486e-07, max values: 38.916, median values: 0.16906, and quantile values: 0.25 0.050418\n0.50 0.169060\n0.75 0.736125\nName: 1050, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7373357886786165, std values: 5.227993855666762, min values: 2.5831e-06, max values: 43.258, median values: 0.2948, and quantile values: 0.25 0.086502\n0.50 0.294800\n0.75 1.150250\nName: 1051, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4872124013578618, std values: 4.895648516320183, min values: 1.7581e-06, max values: 39.755, median values: 0.22315, and quantile values: 0.25 0.071702\n0.50 0.223150\n0.75 0.885420\nName: 1052, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5388352595081134, std values: 5.0822505788563035, min values: 5.6639e-07, max values: 43.065, median values: 0.22476, and quantile values: 0.25 0.063146\n0.50 0.224760\n0.75 0.991505\nName: 1053, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.567938050216981, std values: 4.941079936661759, min values: 2.6558e-06, max values: 39.546, median values: 0.29135, and quantile values: 0.25 0.067328\n0.50 0.291350\n0.75 1.062400\nName: 1054, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5171788060647171, std values: 4.986854192174746, min values: 4.7159e-07, max values: 42.021, median values: 0.23168, and quantile values: 0.25 0.06341\n0.50 0.23168\n0.75 0.96799\nName: 1055, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3527165087689936, std values: 4.9322046985882215, min values: 4.3627e-07, max values: 41.514, median values: 0.1873, and quantile values: 0.25 0.051267\n0.50 0.187300\n0.75 0.750990\nName: 1056, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2885662907828301, std values: 4.472373340924203, min values: 9.5667e-07, max values: 38.082, median values: 0.16519, and quantile values: 0.25 0.055149\n0.50 0.165190\n0.75 0.707790\nName: 1057, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.817912944953459, std values: 5.001784343604572, min values: 1.1718e-06, max values: 38.348, median values: 0.30977, and quantile values: 0.25 0.090889\n0.50 0.309770\n0.75 1.332950\nName: 1058, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5617791642972705, std values: 4.826449215539212, min values: 3.4766e-08, max values: 38.148, median values: 0.25652, and quantile values: 0.25 0.06908\n0.50 0.25652\n0.75 1.09140\nName: 1059, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3023947483564153, std values: 4.880386753409603, min values: 1.4591e-07, max values: 41.258, median values: 0.16105, and quantile values: 0.25 0.040132\n0.50 0.161050\n0.75 0.637310\nName: 1060, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3057532151421383, std values: 4.598991784649358, min values: 2.1983e-06, max values: 39.629, median values: 0.17266, and quantile values: 0.25 0.054336\n0.50 0.172660\n0.75 0.709805\nName: 1061, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3117122211038366, std values: 4.683950909434901, min values: 1.5911e-07, max values: 38.481, median values: 0.15901, and quantile values: 0.25 0.039474\n0.50 0.159010\n0.75 0.685370\nName: 1062, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.615330615855346, std values: 4.9792768610113365, min values: 2.1063e-06, max values: 39.242, median values: 0.29376, and quantile values: 0.25 0.07699\n0.50 0.29376\n0.75 1.05565\nName: 1063, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.424899194283868, std values: 5.026074163194564, min values: 2.3465e-08, max values: 43.625, median values: 0.19257, and quantile values: 0.25 0.049930\n0.50 0.192570\n0.75 0.828975\nName: 1064, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.355311893857547, std values: 4.638658052807261, min values: 4.7705e-07, max values: 37.369, median values: 0.21402, and quantile values: 0.25 0.051434\n0.50 0.214020\n0.75 0.800585\nName: 1065, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3337421542516352, std values: 4.824884977584956, min values: 2.5485e-07, max values: 40.682, median values: 0.19364, and quantile values: 0.25 0.045885\n0.50 0.193640\n0.75 0.682105\nName: 1066, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.591925914180503, std values: 5.059503316976875, min values: 1.648e-06, max values: 41.008, median values: 0.23953, and quantile values: 0.25 0.076155\n0.50 0.239530\n0.75 1.066250\nName: 1067, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.426670026189937, std values: 4.8683445371833525, min values: 1.7751e-06, max values: 39.064, median values: 0.23433, and quantile values: 0.25 0.061145\n0.50 0.234330\n0.75 0.832580\nName: 1068, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.39647020668761, std values: 4.763225809849347, min values: 5.544e-08, max values: 38.948, median values: 0.18, and quantile values: 0.25 0.039719\n0.50 0.180000\n0.75 0.751725\nName: 1069, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.448407827535849, std values: 5.164598202055132, min values: 1.3807e-06, max values: 45.266, median values: 0.23881, and quantile values: 0.25 0.06820\n0.50 0.23881\n0.75 0.79382\nName: 1070, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4181417385471697, std values: 5.111110207890528, min values: 1.858e-06, max values: 43.016, median values: 0.20498, and quantile values: 0.25 0.063669\n0.50 0.204980\n0.75 0.797440\nName: 1071, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5157712258732077, std values: 4.846692464137729, min values: 5.5154e-07, max values: 38.356, median values: 0.20352, and quantile values: 0.25 0.057875\n0.50 0.203520\n0.75 0.945605\nName: 1072, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.556260789201887, std values: 5.053355737726648, min values: 1.7983e-06, max values: 41.627, median values: 0.25042, and quantile values: 0.25 0.067852\n0.50 0.250420\n0.75 1.004070\nName: 1073, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3104960946689306, std values: 4.613001018733532, min values: 2.8056e-07, max values: 37.835, median values: 0.17604, and quantile values: 0.25 0.056667\n0.50 0.176040\n0.75 0.744060\nName: 1074, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.462414743490566, std values: 4.9368452580174145, min values: 1.1077e-06, max values: 40.388, median values: 0.22115, and quantile values: 0.25 0.064830\n0.50 0.221150\n0.75 0.877005\nName: 1075, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4795713849591194, std values: 4.773675211262718, min values: 1.832e-06, max values: 38.707, median values: 0.22942, and quantile values: 0.25 0.068763\n0.50 0.229420\n0.75 0.923825\nName: 1076, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5318230067968552, std values: 4.932126639155089, min values: 4.4424e-06, max values: 41.161, median values: 0.24216, and quantile values: 0.25 0.072703\n0.50 0.242160\n0.75 0.847685\nName: 1077, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3440306781874842, std values: 5.0951404428494165, min values: 1.5641e-07, max values: 45.252, median values: 0.15647, and quantile values: 0.25 0.045793\n0.50 0.156470\n0.75 0.715245\nName: 1078, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.364811343953937, std values: 4.6911457219614165, min values: 1.6776e-08, max values: 37.311, median values: 0.18481, and quantile values: 0.25 0.050739\n0.50 0.184810\n0.75 0.847955\nName: 1079, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4755879990857232, std values: 4.880778519049846, min values: 5.7863e-07, max values: 39.334, median values: 0.2274, and quantile values: 0.25 0.062091\n0.50 0.227400\n0.75 0.939940\nName: 1080, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.442920185339434, std values: 4.993752128933618, min values: 9.3257e-07, max values: 41.802, median values: 0.22174, and quantile values: 0.25 0.062235\n0.50 0.221740\n0.75 0.866540\nName: 1081, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6363663311025156, std values: 4.9633398889832385, min values: 2.8997e-06, max values: 38.802, median values: 0.28483, and quantile values: 0.25 0.079894\n0.50 0.284830\n0.75 1.079100\nName: 1082, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.647546135445283, std values: 5.075179781162114, min values: 3.2558e-06, max values: 39.927, median values: 0.27291, and quantile values: 0.25 0.083587\n0.50 0.272910\n0.75 1.084200\nName: 1083, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6081564286069183, std values: 5.092109571381932, min values: 1.9575e-06, max values: 41.108, median values: 0.27533, and quantile values: 0.25 0.071978\n0.50 0.275330\n0.75 1.158900\nName: 1084, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.375111782815975, std values: 4.849247528468731, min values: 2.0592e-07, max values: 41.182, median values: 0.18754, and quantile values: 0.25 0.043832\n0.50 0.187540\n0.75 0.728585\nName: 1085, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2697399367069182, std values: 4.631239272664818, min values: 4.0301e-06, max values: 41.391, median values: 0.16432, and quantile values: 0.25 0.051530\n0.50 0.164320\n0.75 0.610935\nName: 1086, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.35467204245, std values: 4.627569874306464, min values: 1.0905e-07, max values: 36.975, median values: 0.18567, and quantile values: 0.25 0.041624\n0.50 0.185670\n0.75 0.684240\nName: 1087, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5355213617163526, std values: 5.0272733697463545, min values: 2.5521e-06, max values: 40.548, median values: 0.24602, and quantile values: 0.25 0.06213\n0.50 0.24602\n0.75 1.04915\nName: 1088, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6464454544320752, std values: 5.043988165079315, min values: 6.7997e-06, max values: 41.694, median values: 0.25325, and quantile values: 0.25 0.080622\n0.50 0.253250\n0.75 0.970090\nName: 1089, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5376050754932076, std values: 4.917894572016936, min values: 5.8172e-07, max values: 39.692, median values: 0.24491, and quantile values: 0.25 0.063568\n0.50 0.244910\n0.75 0.986545\nName: 1090, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3278799078625156, std values: 4.785391578359165, min values: 3.1827e-07, max values: 38.824, median values: 0.15662, and quantile values: 0.25 0.041814\n0.50 0.156620\n0.75 0.655970\nName: 1091, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7821777845364781, std values: 5.1467591396344625, min values: 7.5243e-06, max values: 41.737, median values: 0.29126, and quantile values: 0.25 0.078609\n0.50 0.291260\n0.75 1.134350\nName: 1092, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7301466497295594, std values: 4.937411079888968, min values: 2.6906e-06, max values: 38.243, median values: 0.30477, and quantile values: 0.25 0.097831\n0.50 0.304770\n0.75 1.125200\nName: 1093, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4548338636968554, std values: 4.5867156749746005, min values: 4.994e-07, max values: 37.687, median values: 0.23972, and quantile values: 0.25 0.070801\n0.50 0.239720\n0.75 0.925180\nName: 1094, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4661867653484275, std values: 4.935948947186398, min values: 1.6328e-06, max values: 40.038, median values: 0.21975, and quantile values: 0.25 0.062025\n0.50 0.219750\n0.75 0.821275\nName: 1095, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4363788872006287, std values: 5.16215705732427, min values: 1.3441e-06, max values: 44.637, median values: 0.19419, and quantile values: 0.25 0.063935\n0.50 0.194190\n0.75 0.821265\nName: 1096, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2680495608968554, std values: 4.443220391734754, min values: 1.4652e-06, max values: 38.737, median values: 0.18774, and quantile values: 0.25 0.057018\n0.50 0.187740\n0.75 0.705710\nName: 1097, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3069446567671696, std values: 4.624523505148744, min values: 2.4648e-07, max values: 37.227, median values: 0.19964, and quantile values: 0.25 0.052869\n0.50 0.199640\n0.75 0.740325\nName: 1098, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4852759052386166, std values: 4.684461928440376, min values: 1.2536e-08, max values: 36.896, median values: 0.18961, and quantile values: 0.25 0.043970\n0.50 0.189610\n0.75 0.856635\nName: 1099, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6702167626943396, std values: 5.017737292145767, min values: 4.1112e-06, max values: 40.666, median values: 0.31286, and quantile values: 0.25 0.077115\n0.50 0.312860\n0.75 1.081350\nName: 1100, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3538858317444025, std values: 4.638411636072805, min values: 4.3296e-07, max values: 37.112, median values: 0.18658, and quantile values: 0.25 0.056546\n0.50 0.186580\n0.75 0.761115\nName: 1101, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3678283219672953, std values: 4.617986072978555, min values: 1.2988e-06, max values: 38.21, median values: 0.21749, and quantile values: 0.25 0.058076\n0.50 0.217490\n0.75 0.847115\nName: 1102, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4028093323150943, std values: 4.859864434058693, min values: 4.6126e-06, max values: 41.72, median values: 0.20762, and quantile values: 0.25 0.065106\n0.50 0.207620\n0.75 0.724265\nName: 1103, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3074502254539624, std values: 5.038509669840534, min values: 7.0468e-07, max values: 43.777, median values: 0.15512, and quantile values: 0.25 0.049530\n0.50 0.155120\n0.75 0.650585\nName: 1104, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5833501316578615, std values: 4.789976554062311, min values: 1.9106e-06, max values: 38.577, median values: 0.26564, and quantile values: 0.25 0.06832\n0.50 0.26564\n0.75 1.01766\nName: 1105, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7357363970163522, std values: 5.395666715682982, min values: 2.2308e-06, max values: 47.064, median values: 0.25848, and quantile values: 0.25 0.077638\n0.50 0.258480\n0.75 1.162450\nName: 1106, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.393182624112327, std values: 4.906961679475754, min values: 9.0856e-07, max values: 40.253, median values: 0.19984, and quantile values: 0.25 0.060711\n0.50 0.199840\n0.75 0.721455\nName: 1107, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6308822044772326, std values: 4.897289783410031, min values: 2.3218e-07, max values: 38.902, median values: 0.24349, and quantile values: 0.25 0.061743\n0.50 0.243490\n0.75 1.116250\nName: 1108, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4734979623657358, std values: 4.810702436367359, min values: 4.9352e-08, max values: 38.753, median values: 0.22078, and quantile values: 0.25 0.053905\n0.50 0.220780\n0.75 0.938915\nName: 1109, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.586396318935849, std values: 5.083546002291406, min values: 1.3937e-06, max values: 41.502, median values: 0.2366, and quantile values: 0.25 0.062268\n0.50 0.236600\n0.75 1.036350\nName: 1110, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4817465959276352, std values: 4.843210689698419, min values: 8.2694e-08, max values: 38.66, median values: 0.2003, and quantile values: 0.25 0.049952\n0.50 0.200300\n0.75 0.897950\nName: 1111, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4153125556867925, std values: 4.762588822244264, min values: 7.835e-07, max values: 37.756, median values: 0.2175, and quantile values: 0.25 0.062748\n0.50 0.217500\n0.75 0.859720\nName: 1112, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4352605686943394, std values: 4.916771147030312, min values: 4.6092e-06, max values: 41.11, median values: 0.20511, and quantile values: 0.25 0.060846\n0.50 0.205110\n0.75 0.748940\nName: 1113, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5989856768401887, std values: 4.976021530856161, min values: 3.6379e-07, max values: 40.437, median values: 0.24057, and quantile values: 0.25 0.066128\n0.50 0.240570\n0.75 1.072050\nName: 1114, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.579480262490566, std values: 4.901571417191432, min values: 3.7268e-06, max values: 39.709, median values: 0.24053, and quantile values: 0.25 0.075068\n0.50 0.240530\n0.75 1.027800\nName: 1115, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2088855040056605, std values: 4.78238172077546, min values: 1.3682e-06, max values: 39.316, median values: 0.14287, and quantile values: 0.25 0.041467\n0.50 0.142870\n0.75 0.591635\nName: 1116, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2906678485534593, std values: 4.762031965940372, min values: 2.5075e-06, max values: 39.397, median values: 0.17087, and quantile values: 0.25 0.057982\n0.50 0.170870\n0.75 0.706710\nName: 1117, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2978252234, std values: 4.898653432166322, min values: 3.2128e-06, max values: 40.023, median values: 0.17732, and quantile values: 0.25 0.047753\n0.50 0.177320\n0.75 0.604325\nName: 1118, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.491175538628931, std values: 4.958681269610738, min values: 2.7371e-06, max values: 39.47, median values: 0.23468, and quantile values: 0.25 0.069698\n0.50 0.234680\n0.75 0.875630\nName: 1119, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.394759209443459, std values: 4.685999372309666, min values: 6.3173e-07, max values: 37.653, median values: 0.20508, and quantile values: 0.25 0.054129\n0.50 0.205080\n0.75 0.767400\nName: 1120, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.693645025006918, std values: 5.337112069107322, min values: 4.2401e-06, max values: 44.476, median values: 0.30377, and quantile values: 0.25 0.077821\n0.50 0.303770\n0.75 1.045310\nName: 1121, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7523657437861633, std values: 5.011002826781601, min values: 1.7839e-06, max values: 38.877, median values: 0.30325, and quantile values: 0.25 0.088539\n0.50 0.303250\n0.75 1.260300\nName: 1122, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3337210572981133, std values: 4.6477110275743305, min values: 2.0939e-06, max values: 39.227, median values: 0.1802, and quantile values: 0.25 0.053310\n0.50 0.180200\n0.75 0.768815\nName: 1123, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4008588280944656, std values: 4.962359355203614, min values: 6.0962e-07, max values: 41.607, median values: 0.1832, and quantile values: 0.25 0.052022\n0.50 0.183200\n0.75 0.779865\nName: 1124, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4486064695308176, std values: 4.855462524094222, min values: 2.2258e-06, max values: 38.892, median values: 0.21682, and quantile values: 0.25 0.067346\n0.50 0.216820\n0.75 0.827355\nName: 1125, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5579580751308175, std values: 4.992828962900187, min values: 1.355e-06, max values: 40.222, median values: 0.24728, and quantile values: 0.25 0.068388\n0.50 0.247280\n0.75 1.009480\nName: 1126, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.509245652136478, std values: 5.200415576324985, min values: 1.2183e-06, max values: 44.188, median values: 0.21196, and quantile values: 0.25 0.063202\n0.50 0.211960\n0.75 0.945275\nName: 1127, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5512403785116353, std values: 4.8249149279913235, min values: 1.4975e-07, max values: 38.722, median values: 0.2702, and quantile values: 0.25 0.064827\n0.50 0.270200\n0.75 0.991535\nName: 1128, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.48742215863522, std values: 4.773721962871247, min values: 1.7056e-06, max values: 37.892, median values: 0.2183, and quantile values: 0.25 0.056207\n0.50 0.218300\n0.75 0.869200\nName: 1129, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7324614435594967, std values: 5.347841792888992, min values: 9.8736e-07, max values: 46.109, median values: 0.28273, and quantile values: 0.25 0.075507\n0.50 0.282730\n0.75 1.202750\nName: 1130, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.510642449836478, std values: 5.080122097938558, min values: 2.7007e-06, max values: 40.967, median values: 0.22497, and quantile values: 0.25 0.061089\n0.50 0.224970\n0.75 0.903580\nName: 1131, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5618085479352202, std values: 4.904629628776252, min values: 1.35e-06, max values: 38.954, median values: 0.21997, and quantile values: 0.25 0.060618\n0.50 0.219970\n0.75 1.054950\nName: 1132, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.613641150718239, std values: 5.092080575272867, min values: 4.5758e-06, max values: 40.174, median values: 0.24813, and quantile values: 0.25 0.074023\n0.50 0.248130\n0.75 0.986540\nName: 1133, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4200060212088053, std values: 4.987356013616614, min values: 1.1618e-06, max values: 42.4, median values: 0.15498, and quantile values: 0.25 0.048312\n0.50 0.154980\n0.75 0.691220\nName: 1134, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.499679684353333, std values: 4.849768931063595, min values: 9.1408e-07, max values: 38.597, median values: 0.21207, and quantile values: 0.25 0.070652\n0.50 0.212070\n0.75 0.876300\nName: 1135, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3339443231468553, std values: 4.590505311108602, min values: 5.7225e-07, max values: 38.561, median values: 0.17028, and quantile values: 0.25 0.045679\n0.50 0.170280\n0.75 0.756575\nName: 1136, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3230570102098742, std values: 4.77127499227425, min values: 2.6497e-07, max values: 38.556, median values: 0.17965, and quantile values: 0.25 0.050368\n0.50 0.179650\n0.75 0.694790\nName: 1137, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2861286917905659, std values: 4.809006286305783, min values: 2.058e-06, max values: 38.847, median values: 0.16423, and quantile values: 0.25 0.048412\n0.50 0.164230\n0.75 0.679615\nName: 1138, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6116864121540881, std values: 5.071557996489475, min values: 2.4016e-06, max values: 40.141, median values: 0.26954, and quantile values: 0.25 0.081537\n0.50 0.269540\n0.75 0.998040\nName: 1139, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3602160482641508, std values: 4.751364066917577, min values: 1.1223e-06, max values: 38.263, median values: 0.18142, and quantile values: 0.25 0.056206\n0.50 0.181420\n0.75 0.795585\nName: 1140, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2662699958281762, std values: 4.80033617893361, min values: 2.7888e-07, max values: 38.802, median values: 0.13658, and quantile values: 0.25 0.03945\n0.50 0.13658\n0.75 0.63018\nName: 1141, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5317161300591196, std values: 4.935745410370042, min values: 2.3304e-06, max values: 39.519, median values: 0.28441, and quantile values: 0.25 0.076329\n0.50 0.284410\n0.75 0.953885\nName: 1142, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3221711209643332, std values: 4.5941727063341515, min values: 3.3099e-08, max values: 37.049, median values: 0.21007, and quantile values: 0.25 0.052176\n0.50 0.210070\n0.75 0.742695\nName: 1143, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3710788926167925, std values: 4.894518238663527, min values: 3.5867e-07, max values: 41.604, median values: 0.20503, and quantile values: 0.25 0.054206\n0.50 0.205030\n0.75 0.757035\nName: 1144, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4417623830207544, std values: 4.894179511175483, min values: 1.355e-06, max values: 40.166, median values: 0.21283, and quantile values: 0.25 0.064695\n0.50 0.212830\n0.75 0.829715\nName: 1145, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6934802181421384, std values: 5.364113224843145, min values: 1.0436e-06, max values: 47.157, median values: 0.27484, and quantile values: 0.25 0.075195\n0.50 0.274840\n0.75 1.138100\nName: 1146, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.501394068581258, std values: 5.022368098673839, min values: 3.8507e-07, max values: 43.09, median values: 0.19235, and quantile values: 0.25 0.050927\n0.50 0.192350\n0.75 0.819025\nName: 1147, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.562663295923019, std values: 4.9097683881608845, min values: 1.2834e-07, max values: 39.685, median values: 0.22469, and quantile values: 0.25 0.05555\n0.50 0.22469\n0.75 1.05165\nName: 1148, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4011159633773584, std values: 5.050975160734038, min values: 1.3112e-06, max values: 42.584, median values: 0.18162, and quantile values: 0.25 0.057332\n0.50 0.181620\n0.75 0.776415\nName: 1149, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4603494451899368, std values: 4.849083431609645, min values: 3.3809e-06, max values: 40.458, median values: 0.2168, and quantile values: 0.25 0.062589\n0.50 0.216800\n0.75 0.859690\nName: 1150, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.475701274472327, std values: 4.9293559231893935, min values: 1.4668e-06, max values: 40.238, median values: 0.22343, and quantile values: 0.25 0.067345\n0.50 0.223430\n0.75 0.918175\nName: 1151, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6061314050144653, std values: 5.018046055375213, min values: 4.2781e-06, max values: 39.55, median values: 0.26088, and quantile values: 0.25 0.083040\n0.50 0.260880\n0.75 0.981675\nName: 1152, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6879333931591196, std values: 5.227743465497321, min values: 1.317e-06, max values: 42.917, median values: 0.2668, and quantile values: 0.25 0.08269\n0.50 0.26680\n0.75 1.10415\nName: 1153, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.612973830410692, std values: 5.017066569602774, min values: 4.025e-06, max values: 40.201, median values: 0.27723, and quantile values: 0.25 0.079256\n0.50 0.277230\n0.75 1.016800\nName: 1154, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6749470475774844, std values: 5.0175939575535065, min values: 8.1692e-07, max values: 41.103, median values: 0.32231, and quantile values: 0.25 0.076651\n0.50 0.322310\n0.75 1.133400\nName: 1155, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4693380256122517, std values: 4.863261742456409, min values: 2.7098e-08, max values: 40.268, median values: 0.18791, and quantile values: 0.25 0.043462\n0.50 0.187910\n0.75 0.843060\nName: 1156, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5388094763015094, std values: 5.020042425448983, min values: 6.5284e-07, max values: 41.679, median values: 0.22882, and quantile values: 0.25 0.069351\n0.50 0.228820\n0.75 0.924450\nName: 1157, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3922334361999371, std values: 4.873226676704711, min values: 7.9729e-07, max values: 39.78, median values: 0.20985, and quantile values: 0.25 0.061201\n0.50 0.209850\n0.75 0.770010\nName: 1158, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.359284556251384, std values: 4.885072824539224, min values: 6.867e-08, max values: 41.462, median values: 0.17525, and quantile values: 0.25 0.055469\n0.50 0.175250\n0.75 0.772455\nName: 1159, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3103625571996227, std values: 4.8207345320809845, min values: 1.3504e-07, max values: 39.648, median values: 0.1824, and quantile values: 0.25 0.045609\n0.50 0.182400\n0.75 0.721105\nName: 1160, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.329493604452264, std values: 4.755621000497833, min values: 4.4441e-07, max values: 38.177, median values: 0.19443, and quantile values: 0.25 0.052561\n0.50 0.194430\n0.75 0.688460\nName: 1161, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.389156251818239, std values: 4.706090643302864, min values: 1.2573e-06, max values: 37.964, median values: 0.20355, and quantile values: 0.25 0.067285\n0.50 0.203550\n0.75 0.805740\nName: 1162, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5561542287472325, std values: 5.033792779985279, min values: 3.3581e-07, max values: 41.974, median values: 0.22587, and quantile values: 0.25 0.06237\n0.50 0.22587\n0.75 1.06825\nName: 1163, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5005175510635218, std values: 4.985902781811905, min values: 2.153e-06, max values: 39.789, median values: 0.21623, and quantile values: 0.25 0.064011\n0.50 0.216230\n0.75 0.901285\nName: 1164, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5921810996213208, std values: 4.934350846278117, min values: 5.2589e-07, max values: 39.391, median values: 0.24675, and quantile values: 0.25 0.066472\n0.50 0.246750\n0.75 1.037350\nName: 1165, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5319681989433962, std values: 4.894946030652718, min values: 2.2197e-06, max values: 39.624, median values: 0.27502, and quantile values: 0.25 0.077413\n0.50 0.275020\n0.75 1.056100\nName: 1166, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2349830239993709, std values: 4.5176211872671, min values: 1.7402e-06, max values: 39.117, median values: 0.16723, and quantile values: 0.25 0.056618\n0.50 0.167230\n0.75 0.658380\nName: 1167, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6902580645760377, std values: 5.112659355424218, min values: 8.4779e-07, max values: 41.808, median values: 0.30815, and quantile values: 0.25 0.073755\n0.50 0.308150\n0.75 1.160850\nName: 1168, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4802151977632074, std values: 4.854392481110415, min values: 2.1028e-07, max values: 39.825, median values: 0.21409, and quantile values: 0.25 0.050743\n0.50 0.214090\n0.75 0.823800\nName: 1169, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5523833952188049, std values: 4.978795054846841, min values: 4.3139e-07, max values: 40.581, median values: 0.23602, and quantile values: 0.25 0.061124\n0.50 0.236020\n0.75 0.985550\nName: 1170, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3929484437056603, std values: 4.656245253482781, min values: 6.259e-07, max values: 38.016, median values: 0.20089, and quantile values: 0.25 0.058874\n0.50 0.200890\n0.75 0.839330\nName: 1171, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4925186574798555, std values: 5.140457866184329, min values: 4.9437e-08, max values: 46.104, median values: 0.20531, and quantile values: 0.25 0.045629\n0.50 0.205310\n0.75 0.816855\nName: 1172, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.286760936993522, std values: 4.45039951465968, min values: 9.3337e-07, max values: 37.826, median values: 0.17789, and quantile values: 0.25 0.054804\n0.50 0.177890\n0.75 0.727680\nName: 1173, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4110740523270882, std values: 4.822804733033225, min values: 3.5217e-08, max values: 39.539, median values: 0.21327, and quantile values: 0.25 0.048653\n0.50 0.213270\n0.75 0.820160\nName: 1174, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4206624051591195, std values: 5.015735771516386, min values: 1.0642e-06, max values: 42.249, median values: 0.19253, and quantile values: 0.25 0.060552\n0.50 0.192530\n0.75 0.789700\nName: 1175, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4806331313842767, std values: 5.16711691196886, min values: 1.8287e-06, max values: 44.696, median values: 0.20722, and quantile values: 0.25 0.058336\n0.50 0.207220\n0.75 0.832535\nName: 1176, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5461352094352203, std values: 5.207392780489574, min values: 2.9885e-06, max values: 43.734, median values: 0.20471, and quantile values: 0.25 0.065218\n0.50 0.204710\n0.75 0.974355\nName: 1177, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6708660712283019, std values: 5.028430716896148, min values: 3.5855e-06, max values: 40.559, median values: 0.32253, and quantile values: 0.25 0.078309\n0.50 0.322530\n0.75 1.098950\nName: 1178, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4811485075849056, std values: 4.88563642986288, min values: 1.3413e-06, max values: 38.809, median values: 0.23741, and quantile values: 0.25 0.067232\n0.50 0.237410\n0.75 0.853710\nName: 1179, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4947137904880503, std values: 4.787426960943762, min values: 4.2171e-06, max values: 40.094, median values: 0.24057, and quantile values: 0.25 0.071810\n0.50 0.240570\n0.75 0.890825\nName: 1180, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5395438547327043, std values: 4.697909183447216, min values: 2.524e-06, max values: 38.355, median values: 0.27021, and quantile values: 0.25 0.074506\n0.50 0.270210\n0.75 1.016750\nName: 1181, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.433705120244654, std values: 4.948128019902025, min values: 2.8117e-06, max values: 40.047, median values: 0.22534, and quantile values: 0.25 0.059736\n0.50 0.225340\n0.75 0.824285\nName: 1182, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2999364980641512, std values: 4.5577364978872, min values: 1.6022e-06, max values: 38.807, median values: 0.20025, and quantile values: 0.25 0.056265\n0.50 0.200250\n0.75 0.760970\nName: 1183, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.194933782318302, std values: 4.82158220686363, min values: 6.0331e-07, max values: 40.215, median values: 0.1425, and quantile values: 0.25 0.04872\n0.50 0.14250\n0.75 0.59133\nName: 1184, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5261520653245282, std values: 5.0090742609414205, min values: 2.98e-06, max values: 39.869, median values: 0.24126, and quantile values: 0.25 0.074982\n0.50 0.241260\n0.75 0.915940\nName: 1185, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3958366246654088, std values: 4.833192614160603, min values: 2.9459e-06, max values: 39.841, median values: 0.19832, and quantile values: 0.25 0.058813\n0.50 0.198320\n0.75 0.752040\nName: 1186, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5164179786655976, std values: 5.0285276036343625, min values: 2.7913e-07, max values: 42.446, median values: 0.20992, and quantile values: 0.25 0.059470\n0.50 0.209920\n0.75 0.897795\nName: 1187, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5426390621773587, std values: 4.8675968128312945, min values: 2.139e-06, max values: 39.218, median values: 0.28075, and quantile values: 0.25 0.074891\n0.50 0.280750\n0.75 0.937485\nName: 1188, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.356128582991195, std values: 4.818292404308364, min values: 1.1703e-06, max values: 38.941, median values: 0.18683, and quantile values: 0.25 0.053820\n0.50 0.186830\n0.75 0.753785\nName: 1189, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6158077092849057, std values: 4.976929234736323, min values: 2.126e-06, max values: 39.054, median values: 0.26128, and quantile values: 0.25 0.07635\n0.50 0.26128\n0.75 1.08565\nName: 1190, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4326025375872955, std values: 4.907695365858493, min values: 6.7888e-07, max values: 41.048, median values: 0.19528, and quantile values: 0.25 0.056065\n0.50 0.195280\n0.75 0.813505\nName: 1191, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.279756400473038, std values: 4.697137492305504, min values: 1.5713e-08, max values: 38.348, median values: 0.18459, and quantile values: 0.25 0.039758\n0.50 0.184590\n0.75 0.676095\nName: 1192, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7517839788754717, std values: 5.089997963854535, min values: 5.6672e-06, max values: 41.352, median values: 0.28904, and quantile values: 0.25 0.077283\n0.50 0.289040\n0.75 1.159050\nName: 1193, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3225642736308993, std values: 4.856280415833074, min values: 1.9153e-08, max values: 40.994, median values: 0.16965, and quantile values: 0.25 0.038496\n0.50 0.169650\n0.75 0.698925\nName: 1194, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4394074189113208, std values: 4.988478314680184, min values: 9.591e-07, max values: 41.741, median values: 0.2151, and quantile values: 0.25 0.061116\n0.50 0.215100\n0.75 0.836515\nName: 1195, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2768239444879876, std values: 4.7947993695268885, min values: 1.6039e-07, max values: 39.607, median values: 0.18438, and quantile values: 0.25 0.044554\n0.50 0.184380\n0.75 0.662905\nName: 1196, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5408864593408804, std values: 5.014463119092064, min values: 5.3799e-06, max values: 41.056, median values: 0.25185, and quantile values: 0.25 0.076185\n0.50 0.251850\n0.75 0.886525\nName: 1197, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3504107723415097, std values: 4.8243553226585165, min values: 1.5454e-07, max values: 40.182, median values: 0.18144, and quantile values: 0.25 0.046700\n0.50 0.181440\n0.75 0.696185\nName: 1198, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3800085114475913, std values: 4.874993418952, min values: 4.6307e-08, max values: 41.2, median values: 0.15504, and quantile values: 0.25 0.043043\n0.50 0.155040\n0.75 0.723030\nName: 1199, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5574449287742138, std values: 5.067072639484156, min values: 2.903e-06, max values: 40.366, median values: 0.24819, and quantile values: 0.25 0.060988\n0.50 0.248190\n0.75 0.939985\nName: 1200, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5092196119842767, std values: 5.115847769374456, min values: 1.2631e-06, max values: 43.557, median values: 0.2212, and quantile values: 0.25 0.06440\n0.50 0.22120\n0.75 0.86876\nName: 1201, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3846016471177358, std values: 4.924964837792419, min values: 9.4932e-07, max values: 40.552, median values: 0.18763, and quantile values: 0.25 0.054156\n0.50 0.187630\n0.75 0.754130\nName: 1202, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.699803426651635, std values: 5.118368384035266, min values: 1.8405e-07, max values: 42.595, median values: 0.22138, and quantile values: 0.25 0.050029\n0.50 0.221380\n0.75 1.081500\nName: 1203, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5856165426227673, std values: 5.156778949624205, min values: 9.0122e-07, max values: 43.437, median values: 0.23281, and quantile values: 0.25 0.065284\n0.50 0.232810\n0.75 0.998035\nName: 1204, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4642120307758806, std values: 4.97079679219552, min values: 2.4575e-08, max values: 42.153, median values: 0.1927, and quantile values: 0.25 0.052311\n0.50 0.192700\n0.75 0.852330\nName: 1205, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.455594374430673, std values: 4.8378508442984804, min values: 2.8557e-08, max values: 39.535, median values: 0.23638, and quantile values: 0.25 0.047445\n0.50 0.236380\n0.75 0.880420\nName: 1206, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.383938344725912, std values: 4.914541271951576, min values: 5.1312e-07, max values: 41.062, median values: 0.17581, and quantile values: 0.25 0.049639\n0.50 0.175810\n0.75 0.809465\nName: 1207, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4951471036062012, std values: 4.7740359183324, min values: 9.7486e-08, max values: 37.851, median values: 0.22431, and quantile values: 0.25 0.055038\n0.50 0.224310\n0.75 0.913400\nName: 1208, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3869241085698112, std values: 4.6321580935199105, min values: 1.7968e-06, max values: 38.47, median values: 0.21726, and quantile values: 0.25 0.064555\n0.50 0.217260\n0.75 0.834495\nName: 1209, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5099920317050315, std values: 5.013241069666035, min values: 4.292e-06, max values: 40.84, median values: 0.24653, and quantile values: 0.25 0.056972\n0.50 0.246530\n0.75 0.861570\nName: 1210, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4577666475972955, std values: 4.977205278650598, min values: 9.6297e-07, max values: 41.126, median values: 0.20153, and quantile values: 0.25 0.050533\n0.50 0.201530\n0.75 0.847320\nName: 1211, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3224936417544653, std values: 4.469098932438877, min values: 4.9146e-07, max values: 36.846, median values: 0.2095, and quantile values: 0.25 0.056805\n0.50 0.209500\n0.75 0.767445\nName: 1212, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5533084288779875, std values: 4.816628475909847, min values: 1.3132e-06, max values: 39.422, median values: 0.24134, and quantile values: 0.25 0.064746\n0.50 0.241340\n0.75 1.014300\nName: 1213, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4074107486358491, std values: 4.849250777818878, min values: 3.635e-07, max values: 39.208, median values: 0.21107, and quantile values: 0.25 0.056381\n0.50 0.211070\n0.75 0.824360\nName: 1214, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7199681310204404, std values: 5.097658553792483, min values: 4.2395e-07, max values: 41.8, median values: 0.31926, and quantile values: 0.25 0.074966\n0.50 0.319260\n0.75 1.211150\nName: 1215, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4649938998546665, std values: 4.668110613242508, min values: 1.4454e-08, max values: 36.98, median values: 0.16789, and quantile values: 0.25 0.034633\n0.50 0.167890\n0.75 0.859135\nName: 1216, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5267659319503142, std values: 5.2058213824510995, min values: 5.9335e-06, max values: 42.217, median values: 0.22552, and quantile values: 0.25 0.058678\n0.50 0.225520\n0.75 0.794605\nName: 1217, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4457643567620126, std values: 4.796579223342687, min values: 1.3366e-07, max values: 38.142, median values: 0.20827, and quantile values: 0.25 0.057788\n0.50 0.208270\n0.75 0.894615\nName: 1218, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3625960536125659, std values: 4.624758768418508, min values: 1.9958e-08, max values: 36.976, median values: 0.21215, and quantile values: 0.25 0.051681\n0.50 0.212150\n0.75 0.834850\nName: 1219, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5637169957730819, std values: 5.042881310500603, min values: 5.4732e-07, max values: 42.259, median values: 0.22759, and quantile values: 0.25 0.056937\n0.50 0.227590\n0.75 0.933595\nName: 1220, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2324727510188807, std values: 4.603968761292134, min values: 2.183e-08, max values: 37.604, median values: 0.13724, and quantile values: 0.25 0.029386\n0.50 0.137240\n0.75 0.642610\nName: 1221, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4759319038333332, std values: 5.193329386923391, min values: 5.4723e-06, max values: 42.123, median values: 0.19617, and quantile values: 0.25 0.063814\n0.50 0.196170\n0.75 0.713460\nName: 1222, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4152451699360693, std values: 5.147590620580669, min values: 1.9765e-08, max values: 45.769, median values: 0.18149, and quantile values: 0.25 0.055765\n0.50 0.181490\n0.75 0.813205\nName: 1223, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3490472105232705, std values: 4.705167465689678, min values: 1.0577e-06, max values: 39.184, median values: 0.19709, and quantile values: 0.25 0.054677\n0.50 0.197090\n0.75 0.710215\nName: 1224, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.523502185324843, std values: 5.201167878262206, min values: 3.6355e-07, max values: 45.017, median values: 0.21418, and quantile values: 0.25 0.058223\n0.50 0.214180\n0.75 0.943720\nName: 1225, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5653388087773585, std values: 4.6960507508161475, min values: 1.8502e-06, max values: 38.538, median values: 0.24049, and quantile values: 0.25 0.06656\n0.50 0.24049\n0.75 0.97173\nName: 1226, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6424890363679248, std values: 5.204129441141775, min values: 5.2977e-06, max values: 40.841, median values: 0.26929, and quantile values: 0.25 0.071854\n0.50 0.269290\n0.75 0.993980\nName: 1227, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4410585702732706, std values: 4.928282447529662, min values: 9.1725e-07, max values: 40.535, median values: 0.21176, and quantile values: 0.25 0.057825\n0.50 0.211760\n0.75 0.862665\nName: 1228, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.689423953955975, std values: 5.291891208960208, min values: 1.6379e-06, max values: 44.517, median values: 0.2422, and quantile values: 0.25 0.066477\n0.50 0.242200\n0.75 1.087950\nName: 1229, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6076110370937735, std values: 4.815047522097701, min values: 4.118e-07, max values: 37.704, median values: 0.24645, and quantile values: 0.25 0.054864\n0.50 0.246450\n0.75 0.991745\nName: 1230, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6168142093836477, std values: 4.978173876057383, min values: 3.8248e-06, max values: 39.374, median values: 0.25774, and quantile values: 0.25 0.07420\n0.50 0.25774\n0.75 1.00880\nName: 1231, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4293127680666664, std values: 4.787123297419508, min values: 1.991e-06, max values: 38.973, median values: 0.19864, and quantile values: 0.25 0.062133\n0.50 0.198640\n0.75 0.902760\nName: 1232, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3308204367162262, std values: 4.911292067317786, min values: 9.4978e-07, max values: 40.958, median values: 0.15872, and quantile values: 0.25 0.052947\n0.50 0.158720\n0.75 0.747715\nName: 1233, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3285308356056602, std values: 4.688875744962652, min values: 1.0044e-06, max values: 38.717, median values: 0.17494, and quantile values: 0.25 0.055650\n0.50 0.174940\n0.75 0.765595\nName: 1234, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6645302007465412, std values: 5.1500156811995135, min values: 1.2364e-06, max values: 41.879, median values: 0.27004, and quantile values: 0.25 0.067176\n0.50 0.270040\n0.75 1.118700\nName: 1235, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4203458810225158, std values: 4.943976431037098, min values: 6.5978e-07, max values: 41.012, median values: 0.21795, and quantile values: 0.25 0.059404\n0.50 0.217950\n0.75 0.851710\nName: 1236, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4573528583444026, std values: 5.003667755871864, min values: 4.4786e-07, max values: 42.143, median values: 0.20979, and quantile values: 0.25 0.056125\n0.50 0.209790\n0.75 0.831255\nName: 1237, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.604086313881132, std values: 4.87035213108923, min values: 2.5256e-06, max values: 39.051, median values: 0.2623, and quantile values: 0.25 0.082249\n0.50 0.262300\n0.75 1.041100\nName: 1238, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6541948403791826, std values: 5.040663760094556, min values: 4.4899e-07, max values: 40.807, median values: 0.2709, and quantile values: 0.25 0.063244\n0.50 0.270900\n0.75 1.101150\nName: 1239, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.364983542666981, std values: 4.869335187253771, min values: 2.0325e-07, max values: 40.844, median values: 0.18777, and quantile values: 0.25 0.048455\n0.50 0.187770\n0.75 0.790055\nName: 1240, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7869982849553459, std values: 5.214630225081658, min values: 2.3258e-06, max values: 41.032, median values: 0.34474, and quantile values: 0.25 0.086154\n0.50 0.344740\n0.75 1.238650\nName: 1241, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7333298940410065, std values: 5.13924598153892, min values: 5.5812e-07, max values: 42.443, median values: 0.24955, and quantile values: 0.25 0.07298\n0.50 0.24955\n0.75 1.10035\nName: 1242, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5194122171252202, std values: 4.868066595086533, min values: 4.9911e-07, max values: 38.656, median values: 0.22215, and quantile values: 0.25 0.060011\n0.50 0.222150\n0.75 0.952375\nName: 1243, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3088640779106917, std values: 4.676263415196822, min values: 2.726e-06, max values: 38.822, median values: 0.18513, and quantile values: 0.25 0.05855\n0.50 0.18513\n0.75 0.69637\nName: 1244, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7342130459347171, std values: 5.204296929083488, min values: 5.7162e-07, max values: 43.669, median values: 0.26748, and quantile values: 0.25 0.07106\n0.50 0.26748\n0.75 1.13220\nName: 1245, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4608614937477986, std values: 4.978064229507745, min values: 1.0976e-06, max values: 39.923, median values: 0.1975, and quantile values: 0.25 0.057674\n0.50 0.197500\n0.75 0.916440\nName: 1246, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.285709646735786, std values: 4.819568883628339, min values: 8.6329e-07, max values: 39.754, median values: 0.17304, and quantile values: 0.25 0.051475\n0.50 0.173040\n0.75 0.689910\nName: 1247, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.496023557964459, std values: 4.76006704350779, min values: 3.3579e-08, max values: 38.176, median values: 0.25867, and quantile values: 0.25 0.057356\n0.50 0.258670\n0.75 0.943280\nName: 1248, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.405088489771824, std values: 4.987526297460917, min values: 2.3758e-07, max values: 42.628, median values: 0.17423, and quantile values: 0.25 0.047545\n0.50 0.174230\n0.75 0.766320\nName: 1249, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9633052098861634, std values: 5.554138881504607, min values: 1.3681e-06, max values: 47.48, median values: 0.33666, and quantile values: 0.25 0.090841\n0.50 0.336660\n0.75 1.435650\nName: 1250, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.374663154553459, std values: 4.7761931630916035, min values: 1.6725e-06, max values: 38.994, median values: 0.22454, and quantile values: 0.25 0.062086\n0.50 0.224540\n0.75 0.846630\nName: 1251, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.285980844968239, std values: 4.816976112410462, min values: 2.2755e-07, max values: 38.82, median values: 0.13236, and quantile values: 0.25 0.038247\n0.50 0.132360\n0.75 0.630525\nName: 1252, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3289454560291822, std values: 4.764585121507579, min values: 7.2334e-07, max values: 38.335, median values: 0.19235, and quantile values: 0.25 0.054242\n0.50 0.192350\n0.75 0.740710\nName: 1253, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6009222988633962, std values: 5.040731490787961, min values: 8.0978e-07, max values: 40.99, median values: 0.23278, and quantile values: 0.25 0.068531\n0.50 0.232780\n0.75 0.994005\nName: 1254, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4993361512792454, std values: 4.997430994796402, min values: 2.13e-06, max values: 40.462, median values: 0.25592, and quantile values: 0.25 0.066006\n0.50 0.255920\n0.75 0.867890\nName: 1255, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.399258882381132, std values: 4.879074826525961, min values: 2.9106e-06, max values: 40.506, median values: 0.216, and quantile values: 0.25 0.060843\n0.50 0.216000\n0.75 0.791315\nName: 1256, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4405826889991196, std values: 4.781652022869889, min values: 7.2796e-07, max values: 37.977, median values: 0.22131, and quantile values: 0.25 0.063425\n0.50 0.221310\n0.75 0.878580\nName: 1257, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4718639750767295, std values: 4.983523753486905, min values: 1.1847e-06, max values: 40.392, median values: 0.21002, and quantile values: 0.25 0.067419\n0.50 0.210020\n0.75 0.877830\nName: 1258, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3844597430354089, std values: 4.678808070486562, min values: 7.9763e-07, max values: 38.38, median values: 0.20574, and quantile values: 0.25 0.059577\n0.50 0.205740\n0.75 0.856390\nName: 1259, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4884612661102514, std values: 4.798313323142098, min values: 2.2585e-08, max values: 39.323, median values: 0.21289, and quantile values: 0.25 0.047491\n0.50 0.212890\n0.75 0.896390\nName: 1260, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.472518640144025, std values: 5.1210245762175255, min values: 1.1248e-06, max values: 43.507, median values: 0.24307, and quantile values: 0.25 0.061186\n0.50 0.243070\n0.75 0.846390\nName: 1261, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5361059065811324, std values: 4.9219682662866315, min values: 2.1672e-06, max values: 39.134, median values: 0.24146, and quantile values: 0.25 0.068934\n0.50 0.241460\n0.75 1.015700\nName: 1262, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5003188782987422, std values: 4.928526647609461, min values: 4.2883e-07, max values: 41.029, median values: 0.19365, and quantile values: 0.25 0.05039\n0.50 0.19365\n0.75 0.87025\nName: 1263, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2650963725028932, std values: 4.64991396342314, min values: 9.8066e-07, max values: 39.214, median values: 0.15391, and quantile values: 0.25 0.047912\n0.50 0.153910\n0.75 0.678365\nName: 1264, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9329922427343396, std values: 5.996655477561863, min values: 6.6216e-07, max values: 56.095, median values: 0.32539, and quantile values: 0.25 0.07254\n0.50 0.32539\n0.75 1.28200\nName: 1265, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2960031556238996, std values: 4.986212973255009, min values: 2.0545e-06, max values: 41.295, median values: 0.16965, and quantile values: 0.25 0.049533\n0.50 0.169650\n0.75 0.688315\nName: 1266, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3507072022761006, std values: 4.813841470072437, min values: 1.1428e-06, max values: 38.729, median values: 0.16545, and quantile values: 0.25 0.05583\n0.50 0.16545\n0.75 0.73864\nName: 1267, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4375976866226414, std values: 5.0120485037917755, min values: 1.0949e-06, max values: 41.602, median values: 0.19369, and quantile values: 0.25 0.055527\n0.50 0.193690\n0.75 0.861475\nName: 1268, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.455637856119497, std values: 5.084918943840911, min values: 1.7306e-06, max values: 43.071, median values: 0.21149, and quantile values: 0.25 0.058995\n0.50 0.211490\n0.75 0.825905\nName: 1269, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7438154177849055, std values: 5.208584796922501, min values: 2.3074e-06, max values: 42.712, median values: 0.30554, and quantile values: 0.25 0.084712\n0.50 0.305540\n0.75 1.227450\nName: 1270, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5399819022981132, std values: 5.028048183940036, min values: 5.2871e-06, max values: 40.563, median values: 0.24885, and quantile values: 0.25 0.077866\n0.50 0.248850\n0.75 0.884685\nName: 1271, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5537683972761005, std values: 4.8431645836973365, min values: 1.3271e-06, max values: 38.347, median values: 0.23389, and quantile values: 0.25 0.062196\n0.50 0.233890\n0.75 0.978405\nName: 1272, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6694518367226419, std values: 5.028984006066688, min values: 3.9e-08, max values: 41.084, median values: 0.27939, and quantile values: 0.25 0.067344\n0.50 0.279390\n0.75 1.215200\nName: 1273, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2899912578617485, std values: 4.543212751919643, min values: 1.3661e-08, max values: 35.872, median values: 0.14159, and quantile values: 0.25 0.032189\n0.50 0.141590\n0.75 0.647880\nName: 1274, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.593323411463522, std values: 5.22347386664879, min values: 1.746e-06, max values: 44.315, median values: 0.24069, and quantile values: 0.25 0.071807\n0.50 0.240690\n0.75 0.989370\nName: 1275, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4993134070144654, std values: 5.044247597127876, min values: 1.1519e-06, max values: 41.409, median values: 0.21935, and quantile values: 0.25 0.060386\n0.50 0.219350\n0.75 0.913105\nName: 1276, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5607816000421382, std values: 5.064045807607769, min values: 3.8564e-06, max values: 40.56, median values: 0.23066, and quantile values: 0.25 0.065481\n0.50 0.230660\n0.75 0.923870\nName: 1277, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4828428017754716, std values: 4.871022328873004, min values: 1.6012e-06, max values: 39.314, median values: 0.21429, and quantile values: 0.25 0.060911\n0.50 0.214290\n0.75 0.924640\nName: 1278, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6756304816820125, std values: 4.889310970576362, min values: 6.3484e-07, max values: 38.753, median values: 0.28908, and quantile values: 0.25 0.069622\n0.50 0.289080\n0.75 1.143700\nName: 1279, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4275160507949685, std values: 4.723485687357485, min values: 1.4109e-06, max values: 36.971, median values: 0.19656, and quantile values: 0.25 0.065311\n0.50 0.196560\n0.75 0.783440\nName: 1280, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.357837016873019, std values: 4.777831595268371, min values: 2.5351e-07, max values: 38.587, median values: 0.19388, and quantile values: 0.25 0.055126\n0.50 0.193880\n0.75 0.754155\nName: 1281, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3829163489553458, std values: 4.53958603442908, min values: 1.0049e-06, max values: 37.78, median values: 0.20689, and quantile values: 0.25 0.064824\n0.50 0.206890\n0.75 0.864995\nName: 1282, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3810377109794338, std values: 4.833568595437, min values: 7.2993e-07, max values: 39.448, median values: 0.17878, and quantile values: 0.25 0.048928\n0.50 0.178780\n0.75 0.746390\nName: 1283, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.345808564154088, std values: 4.809917252303171, min values: 1.3001e-06, max values: 38.622, median values: 0.20191, and quantile values: 0.25 0.053478\n0.50 0.201910\n0.75 0.754440\nName: 1284, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4129396665710063, std values: 4.889549571995374, min values: 6.1149e-07, max values: 39.68, median values: 0.18293, and quantile values: 0.25 0.053164\n0.50 0.182930\n0.75 0.868055\nName: 1285, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5741382285327044, std values: 4.996258835310816, min values: 1.1191e-06, max values: 40.753, median values: 0.24967, and quantile values: 0.25 0.068147\n0.50 0.249670\n0.75 1.038035\nName: 1286, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6099206289955974, std values: 5.502922855090279, min values: 1.3647e-06, max values: 49.69, median values: 0.21994, and quantile values: 0.25 0.064693\n0.50 0.219940\n0.75 1.012580\nName: 1287, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5395257803716982, std values: 5.052735519363456, min values: 3.5474e-06, max values: 40.323, median values: 0.21255, and quantile values: 0.25 0.069945\n0.50 0.212550\n0.75 0.953780\nName: 1288, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2012958828129054, std values: 4.481844528533888, min values: 1.4412e-08, max values: 36.704, median values: 0.12883, and quantile values: 0.25 0.039012\n0.50 0.128830\n0.75 0.623905\nName: 1289, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6054299956479245, std values: 4.921590482469039, min values: 8.8692e-07, max values: 38.7, median values: 0.24514, and quantile values: 0.25 0.064671\n0.50 0.245140\n0.75 1.120950\nName: 1290, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.736907985146541, std values: 5.240849709628293, min values: 3.1535e-06, max values: 43.002, median values: 0.2894, and quantile values: 0.25 0.078677\n0.50 0.289400\n0.75 1.183950\nName: 1291, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6084515763616352, std values: 4.856674138360059, min values: 1.6264e-06, max values: 39.233, median values: 0.2579, and quantile values: 0.25 0.075523\n0.50 0.257900\n0.75 1.102050\nName: 1292, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6608252594811321, std values: 5.1013685490092024, min values: 2.2001e-06, max values: 40.17, median values: 0.26456, and quantile values: 0.25 0.07798\n0.50 0.26456\n0.75 1.08270\nName: 1293, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2780152838698113, std values: 4.874319892094508, min values: 1.9828e-06, max values: 39.472, median values: 0.16488, and quantile values: 0.25 0.047616\n0.50 0.164880\n0.75 0.648995\nName: 1294, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5332634423695093, std values: 4.994684648391682, min values: 1.9552e-08, max values: 41.991, median values: 0.24949, and quantile values: 0.25 0.063020\n0.50 0.249490\n0.75 0.948485\nName: 1295, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5095002162430189, std values: 4.919534724610747, min values: 3.1324e-07, max values: 40.227, median values: 0.24479, and quantile values: 0.25 0.058505\n0.50 0.244790\n0.75 0.938040\nName: 1296, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3656853543069185, std values: 4.747814203917953, min values: 1.2779e-06, max values: 38.373, median values: 0.1836, and quantile values: 0.25 0.061960\n0.50 0.183600\n0.75 0.805025\nName: 1297, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4824232046353456, std values: 4.98641054446716, min values: 7.6742e-07, max values: 41.619, median values: 0.25096, and quantile values: 0.25 0.059998\n0.50 0.250960\n0.75 0.921830\nName: 1298, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.81077247901761, std values: 5.160286031674463, min values: 3.4481e-06, max values: 40.237, median values: 0.31087, and quantile values: 0.25 0.084773\n0.50 0.310870\n0.75 1.273850\nName: 1299, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6645276189861635, std values: 5.324208019756532, min values: 2.6709e-06, max values: 45.178, median values: 0.30872, and quantile values: 0.25 0.081613\n0.50 0.308720\n0.75 1.112750\nName: 1300, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.689644456006918, std values: 5.086332524018414, min values: 3.1854e-06, max values: 40.392, median values: 0.28405, and quantile values: 0.25 0.081728\n0.50 0.284050\n0.75 1.135100\nName: 1301, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3757887181069184, std values: 4.8175664936402, min values: 2.973e-06, max values: 40.263, median values: 0.19164, and quantile values: 0.25 0.057542\n0.50 0.191640\n0.75 0.792560\nName: 1302, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2772954523447169, std values: 5.0511436080907846, min values: 9.3971e-07, max values: 44.203, median values: 0.14664, and quantile values: 0.25 0.04966\n0.50 0.14664\n0.75 0.64681\nName: 1303, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5736642467232704, std values: 5.148499429851895, min values: 1.9561e-06, max values: 42.695, median values: 0.2566, and quantile values: 0.25 0.070579\n0.50 0.256600\n0.75 0.998690\nName: 1304, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7239704520188681, std values: 5.105032314957508, min values: 2.7819e-06, max values: 39.732, median values: 0.28901, and quantile values: 0.25 0.081317\n0.50 0.289010\n0.75 1.239250\nName: 1305, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2657478922377985, std values: 4.798145279843566, min values: 4.8561e-07, max values: 39.586, median values: 0.1503, and quantile values: 0.25 0.043876\n0.50 0.150300\n0.75 0.631920\nName: 1306, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.256635454174717, std values: 4.484877072937113, min values: 3.6168e-07, max values: 37.686, median values: 0.16616, and quantile values: 0.25 0.053338\n0.50 0.166160\n0.75 0.727405\nName: 1307, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.260562134290566, std values: 4.793349544709087, min values: 1.3153e-06, max values: 38.767, median values: 0.15187, and quantile values: 0.25 0.050249\n0.50 0.151870\n0.75 0.620110\nName: 1308, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2583594533162892, std values: 4.965716030876164, min values: 4.6369e-07, max values: 42.753, median values: 0.13786, and quantile values: 0.25 0.04851\n0.50 0.13786\n0.75 0.64054\nName: 1309, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3650285805538995, std values: 5.020234803069057, min values: 6.7837e-07, max values: 43.022, median values: 0.16661, and quantile values: 0.25 0.05518\n0.50 0.16661\n0.75 0.68228\nName: 1310, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2450082955197486, std values: 4.588871570531773, min values: 8.1594e-07, max values: 37.194, median values: 0.16881, and quantile values: 0.25 0.056142\n0.50 0.168810\n0.75 0.647080\nName: 1311, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4105181589647797, std values: 4.848448133515705, min values: 1.6916e-06, max values: 39.091, median values: 0.22322, and quantile values: 0.25 0.069212\n0.50 0.223220\n0.75 0.824045\nName: 1312, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3166709828759686, std values: 4.617456562664274, min values: 2.6406e-08, max values: 36.815, median values: 0.16431, and quantile values: 0.25 0.040319\n0.50 0.164310\n0.75 0.720625\nName: 1313, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4613270979211952, std values: 4.761544328810883, min values: 4.7977e-07, max values: 37.829, median values: 0.23546, and quantile values: 0.25 0.061339\n0.50 0.235460\n0.75 0.916970\nName: 1314, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5959724030528302, std values: 5.177530022439196, min values: 3.6788e-06, max values: 42.111, median values: 0.24814, and quantile values: 0.25 0.082275\n0.50 0.248140\n0.75 0.964405\nName: 1315, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7031930424301887, std values: 5.161025915639685, min values: 1.6999e-06, max values: 42.266, median values: 0.27792, and quantile values: 0.25 0.083527\n0.50 0.277920\n0.75 1.153450\nName: 1316, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5829498789628933, std values: 5.000378525253768, min values: 1.1442e-06, max values: 40.662, median values: 0.25772, and quantile values: 0.25 0.066586\n0.50 0.257720\n0.75 1.056385\nName: 1317, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5870971772507547, std values: 4.938950678946924, min values: 1.8007e-07, max values: 40.147, median values: 0.22462, and quantile values: 0.25 0.060832\n0.50 0.224620\n0.75 1.044550\nName: 1318, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4120872042238994, std values: 4.773776598266329, min values: 2.0012e-06, max values: 39.535, median values: 0.20011, and quantile values: 0.25 0.059539\n0.50 0.200110\n0.75 0.789750\nName: 1319, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.47855551922239, std values: 5.099909383881863, min values: 4.8036e-07, max values: 44.143, median values: 0.188, and quantile values: 0.25 0.048464\n0.50 0.188000\n0.75 0.811330\nName: 1320, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.481344619472956, std values: 5.231436482596501, min values: 2.2321e-06, max values: 44.271, median values: 0.21781, and quantile values: 0.25 0.061842\n0.50 0.217810\n0.75 0.871220\nName: 1321, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5848091358842766, std values: 5.057123765879292, min values: 3.0687e-06, max values: 40.362, median values: 0.27987, and quantile values: 0.25 0.072552\n0.50 0.279870\n0.75 0.990030\nName: 1322, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.278973727775912, std values: 4.864133359294153, min values: 3.1578e-07, max values: 41.716, median values: 0.15093, and quantile values: 0.25 0.04685\n0.50 0.15093\n0.75 0.63332\nName: 1323, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5989923644063524, std values: 4.744202205560513, min values: 7.9571e-07, max values: 38.387, median values: 0.29023, and quantile values: 0.25 0.072465\n0.50 0.290230\n0.75 1.097300\nName: 1324, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2593698262890376, std values: 4.828930941490049, min values: 7.3607e-08, max values: 41.73, median values: 0.16129, and quantile values: 0.25 0.039625\n0.50 0.161290\n0.75 0.633610\nName: 1325, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6641200353792451, std values: 5.168970034169788, min values: 1.494e-06, max values: 43.205, median values: 0.27264, and quantile values: 0.25 0.080492\n0.50 0.272640\n0.75 1.095500\nName: 1326, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.534486659397736, std values: 5.043122372880207, min values: 6.8824e-07, max values: 41.938, median values: 0.21925, and quantile values: 0.25 0.065421\n0.50 0.219250\n0.75 0.987650\nName: 1327, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4157631318182389, std values: 4.747228120576244, min values: 1.3147e-06, max values: 38.448, median values: 0.20375, and quantile values: 0.25 0.060060\n0.50 0.203750\n0.75 0.803795\nName: 1328, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5904364306578613, std values: 5.142604582069397, min values: 2.0535e-06, max values: 42.136, median values: 0.27497, and quantile values: 0.25 0.071091\n0.50 0.274970\n0.75 0.998045\nName: 1329, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.511875270928931, std values: 4.803868819017394, min values: 1.9371e-06, max values: 39.034, median values: 0.26317, and quantile values: 0.25 0.069493\n0.50 0.263170\n0.75 0.974085\nName: 1330, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.442792151510063, std values: 5.052452999657545, min values: 2.5644e-06, max values: 41.306, median values: 0.21175, and quantile values: 0.25 0.072828\n0.50 0.211750\n0.75 0.791465\nName: 1331, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4438634739342768, std values: 4.7183364204722045, min values: 7.8595e-07, max values: 38.36, median values: 0.22922, and quantile values: 0.25 0.061590\n0.50 0.229220\n0.75 0.885995\nName: 1332, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4438484027598115, std values: 4.785456923337639, min values: 4.3591e-07, max values: 37.863, median values: 0.21456, and quantile values: 0.25 0.059191\n0.50 0.214560\n0.75 0.865725\nName: 1333, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4399856474503143, std values: 4.6869748313220105, min values: 2.4234e-06, max values: 39.533, median values: 0.22461, and quantile values: 0.25 0.062861\n0.50 0.224610\n0.75 0.855115\nName: 1334, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4336886791484278, std values: 4.754836856314701, min values: 2.36e-06, max values: 40.019, median values: 0.2101, and quantile values: 0.25 0.062657\n0.50 0.210100\n0.75 0.838915\nName: 1335, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4218985886245283, std values: 4.93028695807261, min values: 2.9313e-07, max values: 41.836, median values: 0.18134, and quantile values: 0.25 0.044736\n0.50 0.181340\n0.75 0.790595\nName: 1336, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.344906423783711, std values: 4.579575181261597, min values: 9.5271e-07, max values: 38.487, median values: 0.19864, and quantile values: 0.25 0.056677\n0.50 0.198640\n0.75 0.757730\nName: 1337, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4457670445547168, std values: 4.621349061786604, min values: 1.191e-06, max values: 38.868, median values: 0.24622, and quantile values: 0.25 0.060959\n0.50 0.246220\n0.75 0.935255\nName: 1338, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5494087071132074, std values: 5.020098253039406, min values: 2.4367e-06, max values: 40.355, median values: 0.24506, and quantile values: 0.25 0.063392\n0.50 0.245060\n0.75 1.050400\nName: 1339, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2842144501100627, std values: 4.897111230492113, min values: 1.1324e-06, max values: 39.44, median values: 0.14709, and quantile values: 0.25 0.044077\n0.50 0.147090\n0.75 0.635870\nName: 1340, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.502979012063522, std values: 4.8761447825343875, min values: 1.0877e-06, max values: 38.495, median values: 0.22537, and quantile values: 0.25 0.065184\n0.50 0.225370\n0.75 0.947895\nName: 1341, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4402705620050313, std values: 4.856447567237752, min values: 2.6183e-06, max values: 39.673, median values: 0.23523, and quantile values: 0.25 0.062499\n0.50 0.235230\n0.75 0.837405\nName: 1342, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5310930726220127, std values: 4.905145081510588, min values: 3.5575e-06, max values: 39.808, median values: 0.23756, and quantile values: 0.25 0.075329\n0.50 0.237560\n0.75 0.955540\nName: 1343, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4106690783999372, std values: 4.887092900795717, min values: 6.8909e-07, max values: 40.096, median values: 0.18274, and quantile values: 0.25 0.053790\n0.50 0.182740\n0.75 0.844275\nName: 1344, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4668981519033963, std values: 4.98136406354917, min values: 7.9384e-07, max values: 41.468, median values: 0.23403, and quantile values: 0.25 0.063172\n0.50 0.234030\n0.75 0.899700\nName: 1345, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4645532810232704, std values: 4.867574876541333, min values: 1.9151e-06, max values: 39.984, median values: 0.2152, and quantile values: 0.25 0.063147\n0.50 0.215200\n0.75 0.868290\nName: 1346, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.428598330591195, std values: 4.810358271295133, min values: 6.259e-07, max values: 38.585, median values: 0.19412, and quantile values: 0.25 0.050918\n0.50 0.194120\n0.75 0.805550\nName: 1347, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4757200893534592, std values: 4.797153005249397, min values: 1.5538e-06, max values: 39.064, median values: 0.22717, and quantile values: 0.25 0.060501\n0.50 0.227170\n0.75 0.936510\nName: 1348, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4948074216559748, std values: 5.172765384196393, min values: 2.2792e-06, max values: 43.128, median values: 0.22779, and quantile values: 0.25 0.06561\n0.50 0.22779\n0.75 0.93502\nName: 1349, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.408443210571195, std values: 4.766016408369518, min values: 6.1722e-07, max values: 38.011, median values: 0.19705, and quantile values: 0.25 0.060677\n0.50 0.197050\n0.75 0.752090\nName: 1350, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3269316693069182, std values: 4.593496238023262, min values: 1.963e-06, max values: 38.971, median values: 0.1912, and quantile values: 0.25 0.056889\n0.50 0.191200\n0.75 0.809090\nName: 1351, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9523861179226412, std values: 5.477658969729152, min values: 3.2016e-06, max values: 45.16, median values: 0.34748, and quantile values: 0.25 0.103935\n0.50 0.347480\n0.75 1.399850\nName: 1352, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4484138427251572, std values: 4.930610518372495, min values: 2.4696e-06, max values: 40.548, median values: 0.225, and quantile values: 0.25 0.066275\n0.50 0.225000\n0.75 0.807705\nName: 1353, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4625363727417109, std values: 5.058451616895732, min values: 2.6812e-08, max values: 43.993, median values: 0.21962, and quantile values: 0.25 0.04797\n0.50 0.21962\n0.75 0.83145\nName: 1354, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6730367808037736, std values: 5.013105274825507, min values: 4.6789e-06, max values: 40.45, median values: 0.27788, and quantile values: 0.25 0.083887\n0.50 0.277880\n0.75 1.044650\nName: 1355, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.700061139338365, std values: 5.162219755733763, min values: 1.4393e-06, max values: 42.233, median values: 0.25117, and quantile values: 0.25 0.068341\n0.50 0.251170\n0.75 1.108500\nName: 1356, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6568042595725785, std values: 4.88494162457389, min values: 3.4524e-07, max values: 38.001, median values: 0.28389, and quantile values: 0.25 0.064584\n0.50 0.283890\n0.75 1.172300\nName: 1357, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.593970561720755, std values: 4.930895112552243, min values: 1.6361e-06, max values: 38.691, median values: 0.24246, and quantile values: 0.25 0.072459\n0.50 0.242460\n0.75 1.069250\nName: 1358, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4845234743840878, std values: 4.997658003685012, min values: 9.3247e-07, max values: 41.401, median values: 0.21273, and quantile values: 0.25 0.070515\n0.50 0.212730\n0.75 0.899100\nName: 1359, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4875641270102518, std values: 4.924254976717725, min values: 6.9083e-07, max values: 40.018, median values: 0.22122, and quantile values: 0.25 0.056969\n0.50 0.221220\n0.75 0.883360\nName: 1360, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.462299874337107, std values: 4.922760996524681, min values: 1.3036e-06, max values: 39.552, median values: 0.22164, and quantile values: 0.25 0.063525\n0.50 0.221640\n0.75 0.834950\nName: 1361, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4745383679948176, std values: 5.133000776810527, min values: 1.0276e-08, max values: 45.279, median values: 0.15848, and quantile values: 0.25 0.044435\n0.50 0.158480\n0.75 0.856230\nName: 1362, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3192035328694403, std values: 4.506631208464088, min values: 4.6751e-08, max values: 36.653, median values: 0.15837, and quantile values: 0.25 0.042682\n0.50 0.158370\n0.75 0.734100\nName: 1363, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3532594494379244, std values: 4.789623315410809, min values: 9.8623e-07, max values: 38.923, median values: 0.20181, and quantile values: 0.25 0.055056\n0.50 0.201810\n0.75 0.737730\nName: 1364, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.389652442420566, std values: 4.911092984635314, min values: 6.8537e-07, max values: 40.076, median values: 0.18289, and quantile values: 0.25 0.054092\n0.50 0.182890\n0.75 0.753820\nName: 1365, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.632293808608176, std values: 5.329987049198517, min values: 1.1438e-06, max values: 46.821, median values: 0.27665, and quantile values: 0.25 0.068038\n0.50 0.276650\n0.75 1.048415\nName: 1366, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4878544918455032, std values: 4.829294772042532, min values: 1.9035e-08, max values: 38.434, median values: 0.21528, and quantile values: 0.25 0.054624\n0.50 0.215280\n0.75 0.977675\nName: 1367, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5421524231691823, std values: 4.933095780898909, min values: 1.4939e-06, max values: 39.54, median values: 0.26461, and quantile values: 0.25 0.073466\n0.50 0.264610\n0.75 0.948605\nName: 1368, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.490442068687673, std values: 4.799057088498753, min values: 1.1854e-07, max values: 37.753, median values: 0.214, and quantile values: 0.25 0.058145\n0.50 0.214000\n0.75 0.943235\nName: 1369, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3696841998125786, std values: 4.84345794245989, min values: 2.4278e-06, max values: 38.805, median values: 0.18316, and quantile values: 0.25 0.057402\n0.50 0.183160\n0.75 0.773635\nName: 1370, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4461017826748428, std values: 4.823995874934298, min values: 1.1085e-06, max values: 38.24, median values: 0.20901, and quantile values: 0.25 0.062936\n0.50 0.209010\n0.75 0.775565\nName: 1371, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3816546145314466, std values: 4.697168507799586, min values: 2.8392e-06, max values: 40.018, median values: 0.2043, and quantile values: 0.25 0.072209\n0.50 0.204300\n0.75 0.725245\nName: 1372, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3630343465477985, std values: 5.236870337033948, min values: 1.5833e-06, max values: 45.778, median values: 0.17915, and quantile values: 0.25 0.049133\n0.50 0.179150\n0.75 0.746975\nName: 1373, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.644297033257107, std values: 4.9656245632168705, min values: 4.7418e-07, max values: 39.204, median values: 0.25633, and quantile values: 0.25 0.068052\n0.50 0.256330\n0.75 1.152350\nName: 1374, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4853248941468995, std values: 4.814064577191468, min values: 1.6357e-08, max values: 38.46, median values: 0.20778, and quantile values: 0.25 0.060025\n0.50 0.207780\n0.75 0.996955\nName: 1375, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5731778161408803, std values: 5.102106506846641, min values: 3.3364e-06, max values: 40.917, median values: 0.25483, and quantile values: 0.25 0.070683\n0.50 0.254830\n0.75 0.956715\nName: 1376, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6535697418146167, std values: 5.062177641734746, min values: 2.4914e-08, max values: 41.878, median values: 0.24266, and quantile values: 0.25 0.054688\n0.50 0.242660\n0.75 1.140000\nName: 1377, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5463991799679244, std values: 4.967796574411795, min values: 2.418e-06, max values: 39.844, median values: 0.23862, and quantile values: 0.25 0.071879\n0.50 0.238620\n0.75 0.961960\nName: 1378, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.420496382154088, std values: 4.84283838972305, min values: 3.4874e-06, max values: 40.18, median values: 0.22764, and quantile values: 0.25 0.069092\n0.50 0.227640\n0.75 0.789910\nName: 1379, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3792672881949684, std values: 4.903674462802093, min values: 2.0031e-06, max values: 39.728, median values: 0.20769, and quantile values: 0.25 0.05754\n0.50 0.20769\n0.75 0.74156\nName: 1380, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4856469869739308, std values: 4.8703701982746175, min values: 1.8925e-08, max values: 39.67, median values: 0.17733, and quantile values: 0.25 0.046678\n0.50 0.177330\n0.75 0.800670\nName: 1381, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5099609837288677, std values: 4.688758161846321, min values: 3.3559e-07, max values: 37.564, median values: 0.22205, and quantile values: 0.25 0.062775\n0.50 0.222050\n0.75 0.978560\nName: 1382, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5641677238421383, std values: 5.088017894893618, min values: 2.8988e-06, max values: 41.14, median values: 0.28218, and quantile values: 0.25 0.067707\n0.50 0.282180\n0.75 0.919935\nName: 1383, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5867012850833961, std values: 5.054276607559073, min values: 5.5416e-07, max values: 42.451, median values: 0.22614, and quantile values: 0.25 0.066516\n0.50 0.226140\n0.75 0.940795\nName: 1384, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4161971537228302, std values: 4.788923363455865, min values: 6.4263e-07, max values: 38.26, median values: 0.22182, and quantile values: 0.25 0.057095\n0.50 0.221820\n0.75 0.820115\nName: 1385, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5780225118772955, std values: 5.001991034909372, min values: 4.9469e-07, max values: 41.278, median values: 0.2538, and quantile values: 0.25 0.071849\n0.50 0.253800\n0.75 1.021000\nName: 1386, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3829458608201257, std values: 4.61145630202659, min values: 2.662e-07, max values: 37.886, median values: 0.19571, and quantile values: 0.25 0.051129\n0.50 0.195710\n0.75 0.862585\nName: 1387, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4753109866439622, std values: 4.712365265916357, min values: 1.7909e-07, max values: 37.07, median values: 0.22691, and quantile values: 0.25 0.053858\n0.50 0.226910\n0.75 0.956160\nName: 1388, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8727188978396225, std values: 5.341869226512208, min values: 2.5156e-06, max values: 42.984, median values: 0.32014, and quantile values: 0.25 0.095344\n0.50 0.320140\n0.75 1.341550\nName: 1389, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.830033090703145, std values: 5.257716747851457, min values: 2.1293e-06, max values: 42.366, median values: 0.29587, and quantile values: 0.25 0.085978\n0.50 0.295870\n0.75 1.295100\nName: 1390, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.524066403863522, std values: 4.955904664158385, min values: 2.5338e-06, max values: 39.458, median values: 0.26158, and quantile values: 0.25 0.064207\n0.50 0.261580\n0.75 1.005675\nName: 1391, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4508062799446542, std values: 4.860420303484088, min values: 1.3955e-06, max values: 39.153, median values: 0.21772, and quantile values: 0.25 0.062263\n0.50 0.217720\n0.75 0.917390\nName: 1392, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6230369498440254, std values: 5.183725761088417, min values: 3.2901e-06, max values: 41.55, median values: 0.26362, and quantile values: 0.25 0.078154\n0.50 0.263620\n0.75 0.986020\nName: 1393, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4854615148987422, std values: 5.035805333496074, min values: 2.2269e-06, max values: 40.755, median values: 0.24533, and quantile values: 0.25 0.066955\n0.50 0.245330\n0.75 0.908045\nName: 1394, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.438736281662264, std values: 5.047077911105761, min values: 3.5e-07, max values: 43.723, median values: 0.18905, and quantile values: 0.25 0.055405\n0.50 0.189050\n0.75 0.794340\nName: 1395, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6799466037333335, std values: 5.147387088916247, min values: 4.9845e-06, max values: 41.06, median values: 0.29011, and quantile values: 0.25 0.077775\n0.50 0.290110\n0.75 0.993760\nName: 1396, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5878883133893082, std values: 4.787880764812195, min values: 1.5588e-06, max values: 39.083, median values: 0.22697, and quantile values: 0.25 0.066081\n0.50 0.226970\n0.75 1.098350\nName: 1397, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.492305727312453, std values: 4.8019187199869755, min values: 3.7588e-07, max values: 37.889, median values: 0.21829, and quantile values: 0.25 0.05930\n0.50 0.21829\n0.75 0.96115\nName: 1398, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.499539672966038, std values: 4.7499144151087345, min values: 2.6556e-06, max values: 39.296, median values: 0.2397, and quantile values: 0.25 0.072436\n0.50 0.239700\n0.75 0.929425\nName: 1399, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4575990440144653, std values: 4.798808215073127, min values: 1.3412e-06, max values: 38.413, median values: 0.22699, and quantile values: 0.25 0.060853\n0.50 0.226990\n0.75 0.907390\nName: 1400, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6335349092893081, std values: 4.983919906905194, min values: 1.3996e-06, max values: 39.66, median values: 0.25651, and quantile values: 0.25 0.072328\n0.50 0.256510\n0.75 1.087850\nName: 1401, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5350507494559749, std values: 4.973201142850589, min values: 2.254e-06, max values: 39.712, median values: 0.26369, and quantile values: 0.25 0.070068\n0.50 0.263690\n0.75 0.954750\nName: 1402, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.419013707118239, std values: 4.876239621843795, min values: 5.3501e-06, max values: 41.049, median values: 0.20053, and quantile values: 0.25 0.06601\n0.50 0.20053\n0.75 0.76504\nName: 1403, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.524123298804214, std values: 5.028400181372801, min values: 8.0407e-07, max values: 42.543, median values: 0.22262, and quantile values: 0.25 0.071154\n0.50 0.222620\n0.75 0.952560\nName: 1404, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5055196094496226, std values: 4.874259909637693, min values: 4.9235e-07, max values: 39.619, median values: 0.19411, and quantile values: 0.25 0.055145\n0.50 0.194110\n0.75 0.928295\nName: 1405, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5300067057754718, std values: 4.612303769834705, min values: 1.4808e-06, max values: 38.177, median values: 0.27611, and quantile values: 0.25 0.077751\n0.50 0.276110\n0.75 1.016700\nName: 1406, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7089962143679245, std values: 5.172853014505801, min values: 1.1319e-06, max values: 43.02, median values: 0.31425, and quantile values: 0.25 0.078134\n0.50 0.314250\n0.75 1.203350\nName: 1407, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4535496378798742, std values: 4.914780049299841, min values: 2.5131e-06, max values: 39.284, median values: 0.21993, and quantile values: 0.25 0.060817\n0.50 0.219930\n0.75 0.875645\nName: 1408, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3216089723245283, std values: 4.899982685896417, min values: 2.3346e-06, max values: 39.754, median values: 0.17066, and quantile values: 0.25 0.047288\n0.50 0.170660\n0.75 0.714615\nName: 1409, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4288127399482138, std values: 4.910597517101571, min values: 1.5856e-08, max values: 41.672, median values: 0.17106, and quantile values: 0.25 0.043429\n0.50 0.171060\n0.75 0.735895\nName: 1410, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4699090299465412, std values: 4.872036010905857, min values: 1.1054e-06, max values: 39.621, median values: 0.23161, and quantile values: 0.25 0.064580\n0.50 0.231610\n0.75 0.955625\nName: 1411, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.355638443242767, std values: 4.872569220827699, min values: 3.0032e-06, max values: 39.391, median values: 0.18026, and quantile values: 0.25 0.050089\n0.50 0.180260\n0.75 0.745800\nName: 1412, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.259707264004088, std values: 5.28015123145449, min values: 4.2495e-07, max values: 48.282, median values: 0.14769, and quantile values: 0.25 0.042110\n0.50 0.147690\n0.75 0.576995\nName: 1413, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4783759575628932, std values: 4.837537550007085, min values: 1.8164e-06, max values: 38.96, median values: 0.24653, and quantile values: 0.25 0.067356\n0.50 0.246530\n0.75 0.958745\nName: 1414, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7197877918691824, std values: 5.267124329458501, min values: 4.1818e-06, max values: 43.17, median values: 0.29221, and quantile values: 0.25 0.088675\n0.50 0.292210\n0.75 1.123900\nName: 1415, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2100977295462894, std values: 4.384450952739304, min values: 1.0653e-07, max values: 35.95, median values: 0.15753, and quantile values: 0.25 0.041483\n0.50 0.157530\n0.75 0.660445\nName: 1416, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6720544450515724, std values: 4.850092148206675, min values: 1.0175e-06, max values: 38.904, median values: 0.26862, and quantile values: 0.25 0.072522\n0.50 0.268620\n0.75 1.129400\nName: 1417, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.622154686037107, std values: 5.171502155216603, min values: 2.7133e-06, max values: 42.401, median values: 0.29525, and quantile values: 0.25 0.075460\n0.50 0.295250\n0.75 0.999005\nName: 1418, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.340817522363459, std values: 4.729200206068466, min values: 6.2834e-07, max values: 38.399, median values: 0.16615, and quantile values: 0.25 0.043259\n0.50 0.166150\n0.75 0.713780\nName: 1419, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7982851926572327, std values: 5.242414582341578, min values: 3.3557e-06, max values: 41.84, median values: 0.31905, and quantile values: 0.25 0.088762\n0.50 0.319050\n0.75 1.232800\nName: 1420, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.542868370372956, std values: 5.097032306381746, min values: 2.5017e-06, max values: 41.491, median values: 0.27381, and quantile values: 0.25 0.066130\n0.50 0.273810\n0.75 0.957655\nName: 1421, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4633512087603775, std values: 4.920495796371552, min values: 1.1753e-06, max values: 39.446, median values: 0.20668, and quantile values: 0.25 0.064676\n0.50 0.206680\n0.75 0.898410\nName: 1422, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4819874773789938, std values: 4.79252479979064, min values: 3.8516e-07, max values: 37.775, median values: 0.23137, and quantile values: 0.25 0.058706\n0.50 0.231370\n0.75 0.903300\nName: 1423, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6385313324949686, std values: 4.888575255998073, min values: 4.4765e-06, max values: 39.521, median values: 0.2877, and quantile values: 0.25 0.088515\n0.50 0.287700\n0.75 1.064050\nName: 1424, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.744027158408176, std values: 5.051916383775909, min values: 3.3095e-06, max values: 39.601, median values: 0.319, and quantile values: 0.25 0.097577\n0.50 0.319000\n0.75 1.157050\nName: 1425, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3534286272471698, std values: 4.828218741817837, min values: 1.988e-06, max values: 39.556, median values: 0.18981, and quantile values: 0.25 0.057842\n0.50 0.189810\n0.75 0.759320\nName: 1426, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4710065013804905, std values: 4.835142751161687, min values: 3.2698e-08, max values: 39.74, median values: 0.23114, and quantile values: 0.25 0.052462\n0.50 0.231140\n0.75 0.958105\nName: 1427, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7079653372943397, std values: 5.2466707921166735, min values: 1.0013e-06, max values: 44.296, median values: 0.27581, and quantile values: 0.25 0.07121\n0.50 0.27581\n0.75 1.17780\nName: 1428, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4624273612737233, std values: 4.906695022355297, min values: 2.7456e-08, max values: 41.967, median values: 0.20129, and quantile values: 0.25 0.043916\n0.50 0.201290\n0.75 0.851095\nName: 1429, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6088252771207547, std values: 5.0816348657940935, min values: 4.619e-07, max values: 42.163, median values: 0.24205, and quantile values: 0.25 0.063061\n0.50 0.242050\n0.75 1.075400\nName: 1430, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4690187813698112, std values: 4.883324641301569, min values: 2.5621e-06, max values: 39.639, median values: 0.20385, and quantile values: 0.25 0.064722\n0.50 0.203850\n0.75 0.854635\nName: 1431, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5245558624846351, std values: 4.847242987336906, min values: 2.5157e-08, max values: 39.059, median values: 0.2257, and quantile values: 0.25 0.042404\n0.50 0.225700\n0.75 1.042050\nName: 1432, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3485823780765407, std values: 4.801585853279288, min values: 5.7347e-07, max values: 38.74, median values: 0.21212, and quantile values: 0.25 0.054635\n0.50 0.212120\n0.75 0.819280\nName: 1433, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5871131100081761, std values: 5.03240066104473, min values: 2.9745e-06, max values: 39.93, median values: 0.26249, and quantile values: 0.25 0.075759\n0.50 0.262490\n0.75 0.991930\nName: 1434, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3553144687089307, std values: 4.948249339155199, min values: 4.3852e-07, max values: 42.059, median values: 0.16346, and quantile values: 0.25 0.046364\n0.50 0.163460\n0.75 0.739830\nName: 1435, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3621703335083648, std values: 4.773707096289399, min values: 6.6983e-07, max values: 38.098, median values: 0.19201, and quantile values: 0.25 0.051237\n0.50 0.192010\n0.75 0.719210\nName: 1436, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4788787432634778, std values: 4.913415709612415, min values: 4.3303e-08, max values: 40.573, median values: 0.19299, and quantile values: 0.25 0.054784\n0.50 0.192990\n0.75 0.881320\nName: 1437, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4276097839916981, std values: 4.897628396065609, min values: 2.0898e-07, max values: 41.066, median values: 0.18002, and quantile values: 0.25 0.049587\n0.50 0.180020\n0.75 0.760740\nName: 1438, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.561342337127044, std values: 4.873676504615991, min values: 1.0034e-06, max values: 38.446, median values: 0.24928, and quantile values: 0.25 0.07104\n0.50 0.24928\n0.75 1.07415\nName: 1439, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7107131247113208, std values: 4.983564949240112, min values: 3.0434e-06, max values: 39.251, median values: 0.2967, and quantile values: 0.25 0.076835\n0.50 0.296700\n0.75 1.222300\nName: 1440, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7885508730364779, std values: 5.121891457493284, min values: 4.3208e-06, max values: 39.532, median values: 0.31137, and quantile values: 0.25 0.091376\n0.50 0.311370\n0.75 1.225450\nName: 1441, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4336194337163524, std values: 5.114876255930129, min values: 2.1226e-06, max values: 43.367, median values: 0.21352, and quantile values: 0.25 0.061048\n0.50 0.213520\n0.75 0.761525\nName: 1442, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.367008432092453, std values: 4.64331777138387, min values: 2.5964e-06, max values: 39.395, median values: 0.19244, and quantile values: 0.25 0.059787\n0.50 0.192440\n0.75 0.788990\nName: 1443, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5432096150156605, std values: 4.862336060292144, min values: 9.1479e-07, max values: 38.282, median values: 0.2213, and quantile values: 0.25 0.066672\n0.50 0.221300\n0.75 0.928685\nName: 1444, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3168310098490565, std values: 4.76032646210062, min values: 1.8562e-06, max values: 39.001, median values: 0.18672, and quantile values: 0.25 0.054386\n0.50 0.186720\n0.75 0.775975\nName: 1445, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5357089496050313, std values: 5.023623125594914, min values: 1.3078e-06, max values: 41.077, median values: 0.24239, and quantile values: 0.25 0.071183\n0.50 0.242390\n0.75 0.943365\nName: 1446, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.337477810343522, std values: 4.626221510447669, min values: 8.728e-08, max values: 36.931, median values: 0.17957, and quantile values: 0.25 0.043203\n0.50 0.179570\n0.75 0.783720\nName: 1447, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6082628109830186, std values: 5.082268430702669, min values: 2.1285e-06, max values: 41.149, median values: 0.2459, and quantile values: 0.25 0.070276\n0.50 0.245900\n0.75 1.042700\nName: 1448, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4129436447060375, std values: 4.6159541283669645, min values: 2.2966e-07, max values: 37.885, median values: 0.21162, and quantile values: 0.25 0.060578\n0.50 0.211620\n0.75 0.873915\nName: 1449, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.714256842301887, std values: 5.329269145857695, min values: 2.0105e-06, max values: 44.925, median values: 0.27456, and quantile values: 0.25 0.073356\n0.50 0.274560\n0.75 1.156000\nName: 1450, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4224609042100627, std values: 4.991666222572908, min values: 2.2435e-06, max values: 40.38, median values: 0.21315, and quantile values: 0.25 0.060289\n0.50 0.213150\n0.75 0.826715\nName: 1451, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4617243947050316, std values: 4.953865853183972, min values: 1.566e-06, max values: 40.078, median values: 0.21266, and quantile values: 0.25 0.065860\n0.50 0.212660\n0.75 0.877305\nName: 1452, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2233878502377358, std values: 4.803991069648393, min values: 2.4168e-07, max values: 40.286, median values: 0.16878, and quantile values: 0.25 0.041715\n0.50 0.168780\n0.75 0.603140\nName: 1453, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4222809411213837, std values: 4.950099324642149, min values: 1.0637e-06, max values: 40.956, median values: 0.23942, and quantile values: 0.25 0.057761\n0.50 0.239420\n0.75 0.809185\nName: 1454, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6348751868886793, std values: 5.066142792955317, min values: 1.1841e-06, max values: 40.742, median values: 0.27678, and quantile values: 0.25 0.063599\n0.50 0.276780\n0.75 1.088200\nName: 1455, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.33969062523083, std values: 4.856434690707478, min values: 2.1092e-08, max values: 41.122, median values: 0.1739, and quantile values: 0.25 0.039348\n0.50 0.173900\n0.75 0.680155\nName: 1456, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.54074800468239, std values: 5.087696814820263, min values: 1.3568e-06, max values: 42.655, median values: 0.25804, and quantile values: 0.25 0.071457\n0.50 0.258040\n0.75 0.940160\nName: 1457, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.426191326101258, std values: 5.020791903804818, min values: 3.2139e-06, max values: 40.165, median values: 0.18636, and quantile values: 0.25 0.056212\n0.50 0.186360\n0.75 0.789980\nName: 1458, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.232401168525786, std values: 4.837898395518722, min values: 1.7986e-06, max values: 39.961, median values: 0.16064, and quantile values: 0.25 0.047667\n0.50 0.160640\n0.75 0.620015\nName: 1459, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7608515161415097, std values: 5.1781151413912765, min values: 5.3721e-06, max values: 40.658, median values: 0.27221, and quantile values: 0.25 0.084626\n0.50 0.272210\n0.75 1.158900\nName: 1460, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5048107471704404, std values: 4.925128424844468, min values: 1.348e-06, max values: 39.342, median values: 0.24032, and quantile values: 0.25 0.070723\n0.50 0.240320\n0.75 0.896490\nName: 1461, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.423180308110692, std values: 5.008464634147346, min values: 2.5121e-06, max values: 40.362, median values: 0.20476, and quantile values: 0.25 0.058571\n0.50 0.204760\n0.75 0.784835\nName: 1462, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4328042417850944, std values: 4.786969271628097, min values: 1.7313e-07, max values: 37.935, median values: 0.1914, and quantile values: 0.25 0.047145\n0.50 0.191400\n0.75 0.839240\nName: 1463, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4477766693213836, std values: 5.011724284004768, min values: 1.857e-06, max values: 40.819, median values: 0.20858, and quantile values: 0.25 0.059257\n0.50 0.208580\n0.75 0.841295\nName: 1464, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.347799848910692, std values: 4.850737170319962, min values: 3.1022e-06, max values: 40.784, median values: 0.19298, and quantile values: 0.25 0.059580\n0.50 0.192980\n0.75 0.679155\nName: 1465, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5485219323883017, std values: 5.05582570674883, min values: 6.2414e-07, max values: 42.478, median values: 0.21936, and quantile values: 0.25 0.062890\n0.50 0.219360\n0.75 0.948825\nName: 1466, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2376904180460377, std values: 4.942648530916063, min values: 3.3008e-07, max values: 43.546, median values: 0.13142, and quantile values: 0.25 0.038277\n0.50 0.131420\n0.75 0.566165\nName: 1467, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.409213866907937, std values: 4.915078198009586, min values: 2.4624e-08, max values: 42.792, median values: 0.17312, and quantile values: 0.25 0.035189\n0.50 0.173120\n0.75 0.843720\nName: 1468, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4335763347851573, std values: 4.774368212267409, min values: 5.2324e-07, max values: 38.762, median values: 0.21215, and quantile values: 0.25 0.050401\n0.50 0.212150\n0.75 0.832880\nName: 1469, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4073443404930819, std values: 4.836121313426339, min values: 2.9416e-06, max values: 40.342, median values: 0.22265, and quantile values: 0.25 0.060753\n0.50 0.222650\n0.75 0.810160\nName: 1470, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3108303971949684, std values: 4.707592475359227, min values: 3.547e-07, max values: 37.49, median values: 0.12558, and quantile values: 0.25 0.035529\n0.50 0.125580\n0.75 0.617175\nName: 1471, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.413761389562805, std values: 4.7627159190193415, min values: 3.4146e-08, max values: 39.001, median values: 0.18273, and quantile values: 0.25 0.048128\n0.50 0.182730\n0.75 0.830810\nName: 1472, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.252893885671698, std values: 4.578716365685448, min values: 1.6088e-06, max values: 38.541, median values: 0.15965, and quantile values: 0.25 0.045657\n0.50 0.159650\n0.75 0.676080\nName: 1473, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6633622406057234, std values: 5.071101647399587, min values: 8.2041e-07, max values: 41.613, median values: 0.25013, and quantile values: 0.25 0.073818\n0.50 0.250130\n0.75 1.114150\nName: 1474, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4255789948899182, std values: 4.996715536302493, min values: 5.1597e-08, max values: 42.417, median values: 0.20377, and quantile values: 0.25 0.058783\n0.50 0.203770\n0.75 0.811745\nName: 1475, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3166767159641513, std values: 4.918565325850772, min values: 1.2841e-06, max values: 40.462, median values: 0.17875, and quantile values: 0.25 0.052975\n0.50 0.178750\n0.75 0.701380\nName: 1476, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3926847308174841, std values: 4.831240684479006, min values: 5.9628e-07, max values: 39.369, median values: 0.20712, and quantile values: 0.25 0.049182\n0.50 0.207120\n0.75 0.819625\nName: 1477, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.562605561289937, std values: 4.989559460757904, min values: 1.5323e-06, max values: 39.461, median values: 0.2338, and quantile values: 0.25 0.067628\n0.50 0.233800\n0.75 0.967450\nName: 1478, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3219754954185974, std values: 4.7435267351953465, min values: 9.2907e-08, max values: 38.735, median values: 0.19462, and quantile values: 0.25 0.042504\n0.50 0.194620\n0.75 0.694980\nName: 1479, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4872190679043396, std values: 5.001260442233125, min values: 1.583e-07, max values: 42.829, median values: 0.20929, and quantile values: 0.25 0.052222\n0.50 0.209290\n0.75 0.828740\nName: 1480, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5840061808974844, std values: 5.243161671235898, min values: 1.672e-06, max values: 44.612, median values: 0.23293, and quantile values: 0.25 0.063337\n0.50 0.232930\n0.75 0.968740\nName: 1481, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4157727429921383, std values: 4.998409437655923, min values: 9.9345e-07, max values: 42.007, median values: 0.18815, and quantile values: 0.25 0.057647\n0.50 0.188150\n0.75 0.804675\nName: 1482, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6394163018591195, std values: 5.022992902849043, min values: 1.5252e-06, max values: 39.657, median values: 0.25376, and quantile values: 0.25 0.073963\n0.50 0.253760\n0.75 1.157350\nName: 1483, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.535669758086478, std values: 4.991326856971304, min values: 4.3805e-07, max values: 41.409, median values: 0.245, and quantile values: 0.25 0.064338\n0.50 0.245000\n0.75 0.940965\nName: 1484, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3234975568750942, std values: 4.529561696575219, min values: 1.6704e-07, max values: 37.453, median values: 0.20187, and quantile values: 0.25 0.056502\n0.50 0.201870\n0.75 0.799555\nName: 1485, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5620610526339622, std values: 4.938800591064935, min values: 1.0704e-06, max values: 39.013, median values: 0.22993, and quantile values: 0.25 0.064255\n0.50 0.229930\n0.75 1.031600\nName: 1486, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5672423239459121, std values: 4.769334513491889, min values: 1.8574e-06, max values: 39.325, median values: 0.24865, and quantile values: 0.25 0.079928\n0.50 0.248650\n0.75 1.058650\nName: 1487, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5013289290584906, std values: 4.7023377000114905, min values: 1.5581e-06, max values: 39.407, median values: 0.2242, and quantile values: 0.25 0.065669\n0.50 0.224200\n0.75 0.983685\nName: 1488, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3649487172650943, std values: 4.8962553211678985, min values: 9.3955e-07, max values: 40.089, median values: 0.18135, and quantile values: 0.25 0.063285\n0.50 0.181350\n0.75 0.743755\nName: 1489, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5050442611226416, std values: 4.807474911861439, min values: 2.9362e-06, max values: 38.64, median values: 0.24927, and quantile values: 0.25 0.080357\n0.50 0.249270\n0.75 0.921315\nName: 1490, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5387566830157233, std values: 4.827891714496551, min values: 3.6198e-06, max values: 40.144, median values: 0.24855, and quantile values: 0.25 0.069909\n0.50 0.248550\n0.75 0.959770\nName: 1491, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4632257675630818, std values: 4.774179865775085, min values: 7.6283e-07, max values: 37.78, median values: 0.23691, and quantile values: 0.25 0.068548\n0.50 0.236910\n0.75 0.876610\nName: 1492, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3396614409729561, std values: 4.809177992118943, min values: 7.409e-07, max values: 38.881, median values: 0.20501, and quantile values: 0.25 0.058431\n0.50 0.205010\n0.75 0.730745\nName: 1493, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5134178013753459, std values: 4.858601063295557, min values: 7.9788e-07, max values: 38.581, median values: 0.22749, and quantile values: 0.25 0.065653\n0.50 0.227490\n0.75 0.961700\nName: 1494, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3378359295639621, std values: 4.441141860760277, min values: 4.5567e-07, max values: 37.49, median values: 0.18536, and quantile values: 0.25 0.058046\n0.50 0.185360\n0.75 0.805095\nName: 1495, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6715289607987422, std values: 5.188792623136911, min values: 2.8886e-06, max values: 41.824, median values: 0.27838, and quantile values: 0.25 0.074475\n0.50 0.278380\n0.75 1.127375\nName: 1496, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5806182881396227, std values: 5.254351795976876, min values: 4.464e-06, max values: 42.443, median values: 0.24806, and quantile values: 0.25 0.065559\n0.50 0.248060\n0.75 0.845650\nName: 1497, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4725213740601257, std values: 4.693124645627427, min values: 1.546e-08, max values: 37.64, median values: 0.19481, and quantile values: 0.25 0.043341\n0.50 0.194810\n0.75 0.896560\nName: 1498, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.572187261517736, std values: 5.098242813142656, min values: 7.9612e-07, max values: 42.555, median values: 0.25846, and quantile values: 0.25 0.064706\n0.50 0.258460\n0.75 1.015200\nName: 1499, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4907145357232705, std values: 4.836526031304688, min values: 1.1829e-06, max values: 38.608, median values: 0.24008, and quantile values: 0.25 0.064964\n0.50 0.240080\n0.75 0.921085\nName: 1500, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.472438239533333, std values: 4.915932976184709, min values: 1.5569e-06, max values: 39.449, median values: 0.25071, and quantile values: 0.25 0.063989\n0.50 0.250710\n0.75 0.837580\nName: 1501, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5338668022767294, std values: 4.987210192176007, min values: 1.4345e-06, max values: 40.419, median values: 0.23037, and quantile values: 0.25 0.066606\n0.50 0.230370\n0.75 0.945225\nName: 1502, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3471417585413836, std values: 4.641980833281321, min values: 7.8448e-07, max values: 38.541, median values: 0.18081, and quantile values: 0.25 0.052404\n0.50 0.180810\n0.75 0.765540\nName: 1503, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.519040805409434, std values: 4.858474544897673, min values: 3.3254e-06, max values: 40.457, median values: 0.2222, and quantile values: 0.25 0.065604\n0.50 0.222200\n0.75 1.024800\nName: 1504, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.519656912528931, std values: 4.965555194178105, min values: 1.4204e-06, max values: 40.845, median values: 0.23879, and quantile values: 0.25 0.071403\n0.50 0.238790\n0.75 0.895080\nName: 1505, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5218317785325786, std values: 4.9666501927257345, min values: 5.3538e-07, max values: 40.908, median values: 0.22047, and quantile values: 0.25 0.059428\n0.50 0.220470\n0.75 0.938555\nName: 1506, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6146111031503143, std values: 4.938105011070042, min values: 4.308e-06, max values: 39.342, median values: 0.25445, and quantile values: 0.25 0.081075\n0.50 0.254450\n0.75 1.002245\nName: 1507, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4481234068482387, std values: 4.838320808092564, min values: 1.1341e-07, max values: 40.593, median values: 0.18877, and quantile values: 0.25 0.044754\n0.50 0.188770\n0.75 0.809345\nName: 1508, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5608011501960377, std values: 5.0470079115132505, min values: 4.3377e-07, max values: 42.227, median values: 0.26572, and quantile values: 0.25 0.066015\n0.50 0.265720\n0.75 1.019000\nName: 1509, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3458607911361005, std values: 4.634019689889787, min values: 3.1054e-07, max values: 37.306, median values: 0.18216, and quantile values: 0.25 0.051044\n0.50 0.182160\n0.75 0.785150\nName: 1510, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8140843204584902, std values: 5.279030112222822, min values: 1.4109e-06, max values: 43.21, median values: 0.30999, and quantile values: 0.25 0.07982\n0.50 0.30999\n0.75 1.28285\nName: 1511, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5147604450954717, std values: 4.668811255443114, min values: 7.4188e-07, max values: 38.295, median values: 0.26609, and quantile values: 0.25 0.064140\n0.50 0.266090\n0.75 1.009965\nName: 1512, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.674270725469874, std values: 4.924006509637066, min values: 8.1281e-07, max values: 38.272, median values: 0.2938, and quantile values: 0.25 0.071235\n0.50 0.293800\n0.75 1.090400\nName: 1513, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5729391756201259, std values: 5.07902412167782, min values: 2.5491e-06, max values: 40.469, median values: 0.23122, and quantile values: 0.25 0.066459\n0.50 0.231220\n0.75 0.975940\nName: 1514, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.362350030421258, std values: 4.69373432545126, min values: 8.5538e-07, max values: 38.054, median values: 0.19095, and quantile values: 0.25 0.051006\n0.50 0.190950\n0.75 0.760965\nName: 1515, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4002504549172767, std values: 4.700616099816739, min values: 3.4117e-08, max values: 37.571, median values: 0.20515, and quantile values: 0.25 0.055898\n0.50 0.205150\n0.75 0.871440\nName: 1516, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3433392096999999, std values: 4.733499892925285, min values: 1.183e-06, max values: 39.639, median values: 0.21914, and quantile values: 0.25 0.057411\n0.50 0.219140\n0.75 0.769360\nName: 1517, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4534924543322643, std values: 4.948123832141835, min values: 5.7183e-07, max values: 41.123, median values: 0.2121, and quantile values: 0.25 0.06270\n0.50 0.21210\n0.75 0.85321\nName: 1518, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7878660747716983, std values: 5.135978716592984, min values: 3.9341e-06, max values: 39.572, median values: 0.30646, and quantile values: 0.25 0.096168\n0.50 0.306460\n0.75 1.207750\nName: 1519, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4531497130188678, std values: 4.906566809613973, min values: 1.6757e-06, max values: 39.713, median values: 0.2178, and quantile values: 0.25 0.061788\n0.50 0.217800\n0.75 0.852985\nName: 1520, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3977342635402517, std values: 4.79936548636851, min values: 3.0682e-06, max values: 39.196, median values: 0.20561, and quantile values: 0.25 0.062214\n0.50 0.205610\n0.75 0.806720\nName: 1521, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.567761479327673, std values: 5.052479004004861, min values: 3.5526e-06, max values: 40.242, median values: 0.23594, and quantile values: 0.25 0.069875\n0.50 0.235940\n0.75 0.947245\nName: 1522, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5259453154037734, std values: 4.758832873325634, min values: 2.5479e-06, max values: 39.347, median values: 0.26002, and quantile values: 0.25 0.067825\n0.50 0.260020\n0.75 0.980500\nName: 1523, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.407667943574843, std values: 4.900673384223714, min values: 3.0983e-06, max values: 40.087, median values: 0.21064, and quantile values: 0.25 0.057431\n0.50 0.210640\n0.75 0.754635\nName: 1524, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4791792331062894, std values: 4.937923704375931, min values: 1.8626e-06, max values: 39.315, median values: 0.22625, and quantile values: 0.25 0.063212\n0.50 0.226250\n0.75 0.916580\nName: 1525, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4192896958220127, std values: 4.979995739649907, min values: 1.5621e-06, max values: 40.73, median values: 0.20995, and quantile values: 0.25 0.054555\n0.50 0.209950\n0.75 0.784035\nName: 1526, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5350443216661636, std values: 4.836264408245337, min values: 2.9302e-07, max values: 38.617, median values: 0.22225, and quantile values: 0.25 0.060151\n0.50 0.222250\n0.75 1.040450\nName: 1527, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4758687753192452, std values: 4.948516983868268, min values: 1.1713e-07, max values: 41.282, median values: 0.18752, and quantile values: 0.25 0.051926\n0.50 0.187520\n0.75 0.851670\nName: 1528, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2996502812622641, std values: 4.650747285866234, min values: 1.238e-06, max values: 38.111, median values: 0.20028, and quantile values: 0.25 0.065262\n0.50 0.200280\n0.75 0.731530\nName: 1529, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3988951651478616, std values: 4.880889008035838, min values: 2.1951e-07, max values: 39.942, median values: 0.19341, and quantile values: 0.25 0.054005\n0.50 0.193410\n0.75 0.817035\nName: 1530, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5107624450272958, std values: 4.925146827443223, min values: 9.9354e-07, max values: 40.426, median values: 0.20824, and quantile values: 0.25 0.058857\n0.50 0.208240\n0.75 0.926735\nName: 1531, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7947008878339623, std values: 5.106147792115884, min values: 2.3871e-06, max values: 39.507, median values: 0.34634, and quantile values: 0.25 0.090727\n0.50 0.346340\n0.75 1.255900\nName: 1532, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.403146844282327, std values: 4.775226456064438, min values: 9.9299e-07, max values: 38.176, median values: 0.20808, and quantile values: 0.25 0.060255\n0.50 0.208080\n0.75 0.817610\nName: 1533, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.417504302206918, std values: 4.585569206970843, min values: 3.5174e-06, max values: 39.785, median values: 0.23137, and quantile values: 0.25 0.071807\n0.50 0.231370\n0.75 0.870870\nName: 1534, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5378865919245284, std values: 4.999657131782256, min values: 1.3974e-06, max values: 40.922, median values: 0.24374, and quantile values: 0.25 0.067589\n0.50 0.243740\n0.75 0.934555\nName: 1535, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7898927246773584, std values: 5.293865511534443, min values: 2.1508e-06, max values: 43.195, median values: 0.29131, and quantile values: 0.25 0.084472\n0.50 0.291310\n0.75 1.228000\nName: 1536, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6562457113836477, std values: 4.978511092042113, min values: 5.8108e-06, max values: 41.091, median values: 0.26811, and quantile values: 0.25 0.075823\n0.50 0.268110\n0.75 1.055500\nName: 1537, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7714785077132074, std values: 5.443319584956221, min values: 2.53e-06, max values: 45.788, median values: 0.31988, and quantile values: 0.25 0.078276\n0.50 0.319880\n0.75 1.179800\nName: 1538, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3808976837362261, std values: 4.713514418696938, min values: 4.6876e-07, max values: 37.883, median values: 0.19455, and quantile values: 0.25 0.056372\n0.50 0.194550\n0.75 0.824015\nName: 1539, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5733202546308176, std values: 4.800790293813754, min values: 5.0564e-06, max values: 40.778, median values: 0.26907, and quantile values: 0.25 0.080286\n0.50 0.269070\n0.75 0.978300\nName: 1540, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.545809289471698, std values: 5.04902012310716, min values: 2.752e-08, max values: 43.792, median values: 0.2296, and quantile values: 0.25 0.051098\n0.50 0.229600\n0.75 0.936625\nName: 1541, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4403506538320754, std values: 5.102409061020497, min values: 1.6304e-06, max values: 43.614, median values: 0.19012, and quantile values: 0.25 0.061897\n0.50 0.190120\n0.75 0.792985\nName: 1542, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4034266689728614, std values: 4.76848217433828, min values: 3.2115e-08, max values: 39.199, median values: 0.19526, and quantile values: 0.25 0.044373\n0.50 0.195260\n0.75 0.833985\nName: 1543, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3917763158767296, std values: 4.678954918361079, min values: 2.4445e-06, max values: 40.173, median values: 0.19486, and quantile values: 0.25 0.056113\n0.50 0.194860\n0.75 0.808265\nName: 1544, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3539066572585534, std values: 4.78193248283483, min values: 2.3431e-07, max values: 38.638, median values: 0.16727, and quantile values: 0.25 0.04874\n0.50 0.16727\n0.75 0.86707\nName: 1545, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2440420419779243, std values: 4.771764383202792, min values: 5.5639e-07, max values: 39.932, median values: 0.17451, and quantile values: 0.25 0.052116\n0.50 0.174510\n0.75 0.662670\nName: 1546, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4637805157163521, std values: 4.972063194180698, min values: 2.2324e-06, max values: 39.852, median values: 0.24214, and quantile values: 0.25 0.068077\n0.50 0.242140\n0.75 0.846535\nName: 1547, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4785004101874213, std values: 4.855856200105089, min values: 2.9521e-06, max values: 39.265, median values: 0.21685, and quantile values: 0.25 0.067766\n0.50 0.216850\n0.75 0.903825\nName: 1548, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5094438795798744, std values: 5.039331510398109, min values: 4.2728e-06, max values: 41.353, median values: 0.23177, and quantile values: 0.25 0.064048\n0.50 0.231770\n0.75 0.825520\nName: 1549, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4850709393163524, std values: 4.832433323484789, min values: 1.957e-06, max values: 39.263, median values: 0.22307, and quantile values: 0.25 0.063955\n0.50 0.223070\n0.75 0.969965\nName: 1550, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4812301268119497, std values: 5.1651680795871595, min values: 4.037e-06, max values: 41.189, median values: 0.18869, and quantile values: 0.25 0.062197\n0.50 0.188690\n0.75 0.660470\nName: 1551, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5252271659352201, std values: 5.0914977735994995, min values: 3.035e-06, max values: 41.093, median values: 0.2126, and quantile values: 0.25 0.063023\n0.50 0.212600\n0.75 0.879945\nName: 1552, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2874842403050943, std values: 4.81793637747483, min values: 2.4481e-07, max values: 40.203, median values: 0.16837, and quantile values: 0.25 0.041552\n0.50 0.168370\n0.75 0.645490\nName: 1553, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5144831168193709, std values: 4.78537261940861, min values: 8.5998e-07, max values: 38.233, median values: 0.20588, and quantile values: 0.25 0.062986\n0.50 0.205880\n0.75 0.979090\nName: 1554, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6382056228283022, std values: 5.34346096712059, min values: 3.7074e-06, max values: 45.005, median values: 0.27451, and quantile values: 0.25 0.07620\n0.50 0.27451\n0.75 0.96920\nName: 1555, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3544661793961634, std values: 4.53895806589111, min values: 1.2119e-07, max values: 38.328, median values: 0.18833, and quantile values: 0.25 0.049722\n0.50 0.188330\n0.75 0.770885\nName: 1556, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3517749310787421, std values: 4.746374429290861, min values: 5.7322e-07, max values: 38.121, median values: 0.21632, and quantile values: 0.25 0.058357\n0.50 0.216320\n0.75 0.811645\nName: 1557, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4265413145201258, std values: 5.0279202096967595, min values: 1.0343e-06, max values: 42.854, median values: 0.202, and quantile values: 0.25 0.064794\n0.50 0.202000\n0.75 0.766650\nName: 1558, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4268652613226416, std values: 4.963990646132226, min values: 2.2556e-06, max values: 40.126, median values: 0.20682, and quantile values: 0.25 0.064619\n0.50 0.206820\n0.75 0.774805\nName: 1559, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4529774904151571, std values: 4.730286922962852, min values: 3.9241e-07, max values: 37.464, median values: 0.21755, and quantile values: 0.25 0.057127\n0.50 0.217550\n0.75 0.923295\nName: 1560, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.480666937702516, std values: 4.929187854949229, min values: 6.952e-07, max values: 40.467, median values: 0.2167, and quantile values: 0.25 0.063867\n0.50 0.216700\n0.75 0.907950\nName: 1561, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5774302977691825, std values: 4.601088977953368, min values: 2.0471e-06, max values: 38.078, median values: 0.25692, and quantile values: 0.25 0.071827\n0.50 0.256920\n0.75 1.058800\nName: 1562, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3576434770575472, std values: 4.857312541663108, min values: 2.9825e-07, max values: 39.562, median values: 0.20638, and quantile values: 0.25 0.049233\n0.50 0.206380\n0.75 0.798890\nName: 1563, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4613512584952828, std values: 4.785388296727402, min values: 9.0435e-07, max values: 37.631, median values: 0.24516, and quantile values: 0.25 0.068832\n0.50 0.245160\n0.75 0.866180\nName: 1564, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4421960839132073, std values: 4.733437074239762, min values: 1.2466e-06, max values: 38.466, median values: 0.19709, and quantile values: 0.25 0.069361\n0.50 0.197090\n0.75 0.871620\nName: 1565, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7634679616943398, std values: 5.244120129381768, min values: 1.2985e-06, max values: 42.765, median values: 0.30496, and quantile values: 0.25 0.08432\n0.50 0.30496\n0.75 1.23850\nName: 1566, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3504575477657361, std values: 4.782038731767064, min values: 2.6152e-08, max values: 38.561, median values: 0.17108, and quantile values: 0.25 0.053793\n0.50 0.171080\n0.75 0.776715\nName: 1567, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4537252695100629, std values: 4.739222645708767, min values: 1.659e-06, max values: 39.435, median values: 0.22804, and quantile values: 0.25 0.058973\n0.50 0.228040\n0.75 0.935435\nName: 1568, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4442195677514467, std values: 4.945661349409573, min values: 7.7008e-07, max values: 41.868, median values: 0.21001, and quantile values: 0.25 0.063175\n0.50 0.210010\n0.75 0.848310\nName: 1569, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.479652122545912, std values: 4.916688698419207, min values: 5.1204e-06, max values: 41.229, median values: 0.234, and quantile values: 0.25 0.070724\n0.50 0.234000\n0.75 0.794420\nName: 1570, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4560124070144653, std values: 5.046059041045115, min values: 1.9557e-06, max values: 41.146, median values: 0.21376, and quantile values: 0.25 0.060094\n0.50 0.213760\n0.75 0.822785\nName: 1571, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6986358248880504, std values: 5.121372555088512, min values: 5.2124e-06, max values: 40.386, median values: 0.29177, and quantile values: 0.25 0.079462\n0.50 0.291770\n0.75 1.078500\nName: 1572, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3485930799723271, std values: 4.562102228420258, min values: 1.2486e-06, max values: 38.055, median values: 0.19196, and quantile values: 0.25 0.056274\n0.50 0.191960\n0.75 0.749605\nName: 1573, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4178330262497483, std values: 4.8539675503393855, min values: 5.4821e-07, max values: 39.506, median values: 0.18871, and quantile values: 0.25 0.049849\n0.50 0.188710\n0.75 0.878200\nName: 1574, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.373626011953585, std values: 4.717493367018454, min values: 4.5102e-07, max values: 37.443, median values: 0.19509, and quantile values: 0.25 0.057608\n0.50 0.195090\n0.75 0.764680\nName: 1575, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5933516940596857, std values: 4.933799560104335, min values: 2.7649e-07, max values: 40.12, median values: 0.26991, and quantile values: 0.25 0.064038\n0.50 0.269910\n0.75 1.061450\nName: 1576, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7416497862830185, std values: 5.485751226999995, min values: 2.7528e-06, max values: 47.785, median values: 0.28522, and quantile values: 0.25 0.08190\n0.50 0.28522\n0.75 1.14165\nName: 1577, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5638100968157231, std values: 4.691975575769391, min values: 1.4646e-06, max values: 38.484, median values: 0.28723, and quantile values: 0.25 0.071584\n0.50 0.287230\n0.75 0.998040\nName: 1578, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6905381979823901, std values: 5.014699611846156, min values: 2.5489e-06, max values: 40.275, median values: 0.27311, and quantile values: 0.25 0.07266\n0.50 0.27311\n0.75 1.11615\nName: 1579, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5779739735588678, std values: 5.002582327805739, min values: 5.1456e-07, max values: 40.31, median values: 0.24524, and quantile values: 0.25 0.060223\n0.50 0.245240\n0.75 1.035915\nName: 1580, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5269774761371069, std values: 4.961205323010206, min values: 1.4977e-06, max values: 39.95, median values: 0.23194, and quantile values: 0.25 0.072115\n0.50 0.231940\n0.75 0.954825\nName: 1581, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.533365255927673, std values: 4.90588033506057, min values: 1.8525e-06, max values: 39.245, median values: 0.25201, and quantile values: 0.25 0.079593\n0.50 0.252010\n0.75 0.979050\nName: 1582, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.321276711110063, std values: 4.854637556166267, min values: 1.986e-06, max values: 39.247, median values: 0.18275, and quantile values: 0.25 0.054416\n0.50 0.182750\n0.75 0.708460\nName: 1583, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4958178573991823, std values: 5.132077738410896, min values: 4.8467e-07, max values: 44.6, median values: 0.23384, and quantile values: 0.25 0.064861\n0.50 0.233840\n0.75 0.886255\nName: 1584, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5796893076597485, std values: 5.113130245761924, min values: 4.7868e-06, max values: 40.506, median values: 0.22876, and quantile values: 0.25 0.073092\n0.50 0.228760\n0.75 0.927745\nName: 1585, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5410679908704403, std values: 5.1464885474982225, min values: 2.8126e-06, max values: 43.324, median values: 0.26719, and quantile values: 0.25 0.077258\n0.50 0.267190\n0.75 0.945890\nName: 1586, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3855448816238993, std values: 5.101045068647968, min values: 3.0826e-06, max values: 42.305, median values: 0.18223, and quantile values: 0.25 0.061476\n0.50 0.182230\n0.75 0.730055\nName: 1587, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5215889366194968, std values: 4.935844495934316, min values: 2.9966e-06, max values: 40.334, median values: 0.26155, and quantile values: 0.25 0.065374\n0.50 0.261550\n0.75 0.952900\nName: 1588, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.487026948801132, std values: 4.98584668345129, min values: 2.6734e-07, max values: 42.354, median values: 0.183, and quantile values: 0.25 0.055642\n0.50 0.183000\n0.75 0.840380\nName: 1589, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.281739730148428, std values: 4.56002101835421, min values: 6.259e-07, max values: 39.018, median values: 0.18027, and quantile values: 0.25 0.053125\n0.50 0.180270\n0.75 0.716175\nName: 1590, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.577872876917673, std values: 5.003460239687834, min values: 5.2131e-07, max values: 40.383, median values: 0.25472, and quantile values: 0.25 0.067547\n0.50 0.254720\n0.75 1.013800\nName: 1591, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3761783296132077, std values: 4.844552181069897, min values: 1.0742e-06, max values: 39.334, median values: 0.16713, and quantile values: 0.25 0.052621\n0.50 0.167130\n0.75 0.743130\nName: 1592, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4448791997113206, std values: 4.984231821455461, min values: 3.4671e-06, max values: 39.828, median values: 0.20721, and quantile values: 0.25 0.06197\n0.50 0.20721\n0.75 0.82686\nName: 1593, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7071698744710693, std values: 4.9791135017266, min values: 4.5446e-06, max values: 39.907, median values: 0.28413, and quantile values: 0.25 0.081164\n0.50 0.284130\n0.75 1.035850\nName: 1594, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4053713577924527, std values: 4.967314974507886, min values: 1.9026e-06, max values: 39.665, median values: 0.18328, and quantile values: 0.25 0.053599\n0.50 0.183280\n0.75 0.777380\nName: 1595, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4529054802220127, std values: 4.841630756479413, min values: 1.2994e-06, max values: 39.079, median values: 0.20824, and quantile values: 0.25 0.061942\n0.50 0.208240\n0.75 0.892755\nName: 1596, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.628964477592453, std values: 5.45047234425485, min values: 2.0223e-06, max values: 48.551, median values: 0.24848, and quantile values: 0.25 0.063606\n0.50 0.248480\n0.75 0.976590\nName: 1597, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4977052217364781, std values: 4.817646247810055, min values: 1.4892e-06, max values: 38.866, median values: 0.24572, and quantile values: 0.25 0.072948\n0.50 0.245720\n0.75 0.959200\nName: 1598, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4235563960918491, std values: 4.950123041032564, min values: 1.3394e-08, max values: 41.97, median values: 0.14315, and quantile values: 0.25 0.044223\n0.50 0.143150\n0.75 0.735205\nName: 1599, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6595236488044027, std values: 5.04885572508006, min values: 1.4112e-06, max values: 40.778, median values: 0.28678, and quantile values: 0.25 0.082736\n0.50 0.286780\n0.75 1.107050\nName: 1600, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6115906816874213, std values: 5.017121169926548, min values: 3.3934e-06, max values: 40.149, median values: 0.25282, and quantile values: 0.25 0.078573\n0.50 0.252820\n0.75 1.012050\nName: 1601, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.596231719135849, std values: 5.200757552457732, min values: 3.0888e-06, max values: 42.697, median values: 0.26809, and quantile values: 0.25 0.063632\n0.50 0.268090\n0.75 1.016850\nName: 1602, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.667751076662893, std values: 5.068205227118028, min values: 4.7366e-06, max values: 40.417, median values: 0.25594, and quantile values: 0.25 0.079858\n0.50 0.255940\n0.75 1.050100\nName: 1603, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4242055021364781, std values: 4.752904102299345, min values: 1.7453e-06, max values: 38.91, median values: 0.23288, and quantile values: 0.25 0.068582\n0.50 0.232880\n0.75 0.857580\nName: 1604, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2371058108127044, std values: 4.650697528228998, min values: 5.2477e-07, max values: 37.797, median values: 0.12326, and quantile values: 0.25 0.032627\n0.50 0.123260\n0.75 0.626640\nName: 1605, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3917770970773584, std values: 4.782532148252547, min values: 3.246e-07, max values: 38.043, median values: 0.18917, and quantile values: 0.25 0.052469\n0.50 0.189170\n0.75 0.841750\nName: 1606, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4537377817584904, std values: 4.780046269659854, min values: 1.2362e-06, max values: 37.68, median values: 0.20756, and quantile values: 0.25 0.064369\n0.50 0.207560\n0.75 0.962765\nName: 1607, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.528425517018239, std values: 5.080637674125279, min values: 4.3984e-06, max values: 40.763, median values: 0.23127, and quantile values: 0.25 0.063748\n0.50 0.231270\n0.75 0.901175\nName: 1608, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3759116464299372, std values: 4.605098470032271, min values: 6.5136e-07, max values: 37.773, median values: 0.20277, and quantile values: 0.25 0.056194\n0.50 0.202770\n0.75 0.838860\nName: 1609, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3750770738861635, std values: 4.7714627681216575, min values: 4.755e-07, max values: 38.22, median values: 0.19647, and quantile values: 0.25 0.059851\n0.50 0.196470\n0.75 0.798460\nName: 1610, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4737930751696853, std values: 4.974514750376141, min values: 2.3598e-07, max values: 41.953, median values: 0.18377, and quantile values: 0.25 0.046435\n0.50 0.183770\n0.75 0.952380\nName: 1611, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6947454272993714, std values: 4.887906675088404, min values: 2.6945e-06, max values: 38.374, median values: 0.31361, and quantile values: 0.25 0.086463\n0.50 0.313610\n0.75 1.209450\nName: 1612, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5702646156584907, std values: 5.204047821347634, min values: 2.8486e-06, max values: 44.185, median values: 0.24415, and quantile values: 0.25 0.070611\n0.50 0.244150\n0.75 0.963010\nName: 1613, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4475667146408804, std values: 4.747562679107413, min values: 1.8077e-06, max values: 38.389, median values: 0.23971, and quantile values: 0.25 0.061929\n0.50 0.239710\n0.75 0.864370\nName: 1614, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.582564455672956, std values: 5.07548182945056, min values: 2.5182e-06, max values: 41.548, median values: 0.24686, and quantile values: 0.25 0.07374\n0.50 0.24686\n0.75 1.03455\nName: 1615, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2574367664742139, std values: 4.7839644615309105, min values: 1.3758e-06, max values: 38.74, median values: 0.15706, and quantile values: 0.25 0.051408\n0.50 0.157060\n0.75 0.671350\nName: 1616, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2407481733344026, std values: 4.815818486245258, min values: 6.4257e-07, max values: 39.86, median values: 0.14768, and quantile values: 0.25 0.045635\n0.50 0.147680\n0.75 0.604770\nName: 1617, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5922720136345911, std values: 5.250971783416693, min values: 5.3837e-06, max values: 42.091, median values: 0.24208, and quantile values: 0.25 0.080549\n0.50 0.242080\n0.75 0.908975\nName: 1618, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3579444060572328, std values: 4.728717472488794, min values: 1.317e-06, max values: 39.575, median values: 0.21702, and quantile values: 0.25 0.055181\n0.50 0.217020\n0.75 0.786545\nName: 1619, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5410469810144654, std values: 5.09571596605529, min values: 1.9976e-06, max values: 41.938, median values: 0.23807, and quantile values: 0.25 0.067476\n0.50 0.238070\n0.75 0.939405\nName: 1620, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6603037187698115, std values: 5.03346172158394, min values: 1.4948e-06, max values: 39.988, median values: 0.2292, and quantile values: 0.25 0.067656\n0.50 0.229200\n0.75 1.077400\nName: 1621, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6320412068748427, std values: 4.9370813763795685, min values: 2.0781e-06, max values: 39.491, median values: 0.26364, and quantile values: 0.25 0.074251\n0.50 0.263640\n0.75 1.154900\nName: 1622, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7205713654327042, std values: 5.062652301020319, min values: 1.8893e-06, max values: 39.186, median values: 0.25785, and quantile values: 0.25 0.078272\n0.50 0.257850\n0.75 1.197000\nName: 1623, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5608462139962267, std values: 5.159809314159372, min values: 2.038e-06, max values: 43.213, median values: 0.28247, and quantile values: 0.25 0.066384\n0.50 0.282470\n0.75 1.024765\nName: 1624, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5941125515157233, std values: 5.089889846353608, min values: 1.5476e-06, max values: 41.144, median values: 0.24078, and quantile values: 0.25 0.063918\n0.50 0.240780\n0.75 0.997225\nName: 1625, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3865752709055974, std values: 4.986762657662882, min values: 3.9719e-07, max values: 42.305, median values: 0.16919, and quantile values: 0.25 0.047298\n0.50 0.169190\n0.75 0.750515\nName: 1626, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.62831224463522, std values: 5.260522014581244, min values: 2.0381e-06, max values: 43.978, median values: 0.24202, and quantile values: 0.25 0.076053\n0.50 0.242020\n0.75 1.026790\nName: 1627, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6075222200207548, std values: 5.006085308292036, min values: 1.3825e-06, max values: 40.747, median values: 0.27025, and quantile values: 0.25 0.072999\n0.50 0.270250\n0.75 1.044850\nName: 1628, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.260394511021698, std values: 4.743009223797529, min values: 4.4884e-07, max values: 38.723, median values: 0.14405, and quantile values: 0.25 0.040697\n0.50 0.144050\n0.75 0.623250\nName: 1629, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5947231516703837, std values: 5.057867301626464, min values: 2.8921e-08, max values: 42.488, median values: 0.20917, and quantile values: 0.25 0.053287\n0.50 0.209170\n0.75 1.097200\nName: 1630, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.608511427972327, std values: 5.169475280524629, min values: 1.9751e-06, max values: 42.64, median values: 0.2551, and quantile values: 0.25 0.071994\n0.50 0.255100\n0.75 1.036700\nName: 1631, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5134710006396226, std values: 4.994686731207696, min values: 8.65e-07, max values: 41.065, median values: 0.21592, and quantile values: 0.25 0.067194\n0.50 0.215920\n0.75 0.883505\nName: 1632, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3730597533867923, std values: 4.83914222507943, min values: 5.1817e-06, max values: 41.263, median values: 0.19448, and quantile values: 0.25 0.060388\n0.50 0.194480\n0.75 0.736310\nName: 1633, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4263378725578615, std values: 4.87723418577186, min values: 1.0524e-06, max values: 39.46, median values: 0.22113, and quantile values: 0.25 0.06205\n0.50 0.22113\n0.75 0.83772\nName: 1634, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5690093073879685, std values: 5.014001924871864, min values: 2.3287e-08, max values: 41.846, median values: 0.25213, and quantile values: 0.25 0.06347\n0.50 0.25213\n0.75 1.04570\nName: 1635, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2750317417220125, std values: 4.784066737854254, min values: 4.5404e-06, max values: 39.807, median values: 0.13182, and quantile values: 0.25 0.020057\n0.50 0.131820\n0.75 0.508395\nName: 1636, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7628173873264152, std values: 5.2019516797418595, min values: 4.7972e-06, max values: 40.303, median values: 0.2843, and quantile values: 0.25 0.0867\n0.50 0.2843\n0.75 1.1426\nName: 1637, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.426122955928931, std values: 4.777827754502779, min values: 2.4135e-06, max values: 39.577, median values: 0.20948, and quantile values: 0.25 0.065638\n0.50 0.209480\n0.75 0.824920\nName: 1638, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5835840086647799, std values: 5.1287952403284445, min values: 4.0258e-06, max values: 40.825, median values: 0.23719, and quantile values: 0.25 0.070725\n0.50 0.237190\n0.75 0.984865\nName: 1639, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.563222960993082, std values: 4.900275584700139, min values: 1.6016e-06, max values: 38.682, median values: 0.26416, and quantile values: 0.25 0.072396\n0.50 0.264160\n0.75 1.031115\nName: 1640, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7114461400987422, std values: 5.110694405197922, min values: 1.51e-06, max values: 41.346, median values: 0.27915, and quantile values: 0.25 0.075889\n0.50 0.279150\n0.75 1.199100\nName: 1641, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.364600437840692, std values: 4.795053801177311, min values: 6.4557e-07, max values: 38.472, median values: 0.20742, and quantile values: 0.25 0.058994\n0.50 0.207420\n0.75 0.707590\nName: 1642, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2991915500291824, std values: 4.751877912127057, min values: 8.3374e-07, max values: 38.272, median values: 0.17155, and quantile values: 0.25 0.048282\n0.50 0.171550\n0.75 0.731100\nName: 1643, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4880629261729559, std values: 5.139192022170934, min values: 2.862e-06, max values: 42.674, median values: 0.21971, and quantile values: 0.25 0.063422\n0.50 0.219710\n0.75 0.842005\nName: 1644, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.504778415500629, std values: 4.9386456142159645, min values: 1.4621e-06, max values: 39.091, median values: 0.22061, and quantile values: 0.25 0.062726\n0.50 0.220610\n0.75 0.948395\nName: 1645, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3089236084593083, std values: 4.460182453279576, min values: 7.0093e-07, max values: 38.755, median values: 0.16524, and quantile values: 0.25 0.054564\n0.50 0.165240\n0.75 0.774580\nName: 1646, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8994815210031446, std values: 5.5371992996914585, min values: 6.5855e-06, max values: 44.094, median values: 0.31114, and quantile values: 0.25 0.083645\n0.50 0.311140\n0.75 1.222450\nName: 1647, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3922271053289308, std values: 4.949436382980961, min values: 8.978e-07, max values: 39.926, median values: 0.19103, and quantile values: 0.25 0.05243\n0.50 0.19103\n0.75 0.84531\nName: 1648, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7175034828761007, std values: 5.240368730576672, min values: 2.56e-06, max values: 42.712, median values: 0.28139, and quantile values: 0.25 0.07088\n0.50 0.28139\n0.75 1.14125\nName: 1649, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7067202472184277, std values: 4.944778789248077, min values: 8.9823e-07, max values: 38.67, median values: 0.31754, and quantile values: 0.25 0.089037\n0.50 0.317540\n0.75 1.136800\nName: 1650, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1355560522549686, std values: 4.535317677121798, min values: 5.7564e-07, max values: 37.78, median values: 0.12534, and quantile values: 0.25 0.042744\n0.50 0.125340\n0.75 0.522230\nName: 1651, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.749049426716981, std values: 5.459932343803105, min values: 1.013e-05, max values: 42.918, median values: 0.25686, and quantile values: 0.25 0.066188\n0.50 0.256860\n0.75 1.010535\nName: 1652, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.49704694004239, std values: 5.15422211448379, min values: 7.2554e-07, max values: 44.907, median values: 0.21743, and quantile values: 0.25 0.063056\n0.50 0.217430\n0.75 0.860220\nName: 1653, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6579938122794968, std values: 5.6574135996781045, min values: 3.7504e-07, max values: 53.642, median values: 0.22501, and quantile values: 0.25 0.058655\n0.50 0.225010\n0.75 0.988690\nName: 1654, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6564383596792451, std values: 5.105374362179313, min values: 4.8533e-06, max values: 40.301, median values: 0.28077, and quantile values: 0.25 0.074732\n0.50 0.280770\n0.75 1.043910\nName: 1655, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5650651615433964, std values: 5.010537663466482, min values: 1.0737e-06, max values: 40.609, median values: 0.22938, and quantile values: 0.25 0.072829\n0.50 0.229380\n0.75 0.993730\nName: 1656, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.484180008672327, std values: 5.214989176522823, min values: 4.517e-07, max values: 45.96, median values: 0.21648, and quantile values: 0.25 0.054973\n0.50 0.216480\n0.75 0.828365\nName: 1657, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.351811994354214, std values: 4.777241742701508, min values: 4.6602e-07, max values: 38.436, median values: 0.16649, and quantile values: 0.25 0.048551\n0.50 0.166490\n0.75 0.758065\nName: 1658, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5077360089303775, std values: 4.754573695808175, min values: 8.4333e-07, max values: 37.866, median values: 0.24942, and quantile values: 0.25 0.061131\n0.50 0.249420\n0.75 1.018900\nName: 1659, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4245159617006289, std values: 5.018154365263747, min values: 1.7999e-06, max values: 41.669, median values: 0.22399, and quantile values: 0.25 0.057569\n0.50 0.223990\n0.75 0.805810\nName: 1660, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.593452479172956, std values: 5.081189234574958, min values: 2.727e-06, max values: 40.33, median values: 0.25042, and quantile values: 0.25 0.079299\n0.50 0.250420\n0.75 1.013380\nName: 1661, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5178796148578617, std values: 4.896893361201193, min values: 1.1627e-06, max values: 39.422, median values: 0.25301, and quantile values: 0.25 0.068048\n0.50 0.253010\n0.75 0.960095\nName: 1662, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4089349755203144, std values: 4.727064496936168, min values: 5.7243e-07, max values: 37.622, median values: 0.24548, and quantile values: 0.25 0.064922\n0.50 0.245480\n0.75 0.863545\nName: 1663, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5553946411220128, std values: 4.846710819698014, min values: 1.8015e-06, max values: 38.588, median values: 0.24148, and quantile values: 0.25 0.078581\n0.50 0.241480\n0.75 1.033050\nName: 1664, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.486671296712956, std values: 4.5752634691138585, min values: 6.7546e-07, max values: 37.199, median values: 0.19662, and quantile values: 0.25 0.060639\n0.50 0.196620\n0.75 0.935160\nName: 1665, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6211867865855345, std values: 5.17522860518543, min values: 4.7129e-06, max values: 41.227, median values: 0.26062, and quantile values: 0.25 0.069052\n0.50 0.260620\n0.75 0.992950\nName: 1666, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5638650531968554, std values: 5.28956250971608, min values: 1.8308e-06, max values: 46.015, median values: 0.23906, and quantile values: 0.25 0.065841\n0.50 0.239060\n0.75 0.936350\nName: 1667, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3454438611672956, std values: 4.701674716687657, min values: 2.4139e-06, max values: 40.231, median values: 0.18214, and quantile values: 0.25 0.059799\n0.50 0.182140\n0.75 0.773280\nName: 1668, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6543169974823897, std values: 5.20848317980709, min values: 1.919e-06, max values: 43.544, median values: 0.27508, and quantile values: 0.25 0.074325\n0.50 0.275080\n0.75 1.085850\nName: 1669, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5452627568144655, std values: 5.096823471015515, min values: 3.4402e-06, max values: 41.342, median values: 0.21684, and quantile values: 0.25 0.076374\n0.50 0.216840\n0.75 0.913370\nName: 1670, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6308263998471697, std values: 4.808140129059355, min values: 2.2523e-06, max values: 39.023, median values: 0.28088, and quantile values: 0.25 0.08033\n0.50 0.28088\n0.75 1.13120\nName: 1671, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2466467827592453, std values: 4.763693984071204, min values: 2.3203e-07, max values: 39.933, median values: 0.15983, and quantile values: 0.25 0.043968\n0.50 0.159830\n0.75 0.618175\nName: 1672, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4670552866855346, std values: 4.93288722470693, min values: 1.3523e-06, max values: 39.894, median values: 0.22617, and quantile values: 0.25 0.063074\n0.50 0.226170\n0.75 0.812090\nName: 1673, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4428263280383649, std values: 4.991202856487832, min values: 1.4138e-06, max values: 41.439, median values: 0.20612, and quantile values: 0.25 0.068206\n0.50 0.206120\n0.75 0.819265\nName: 1674, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4663181176742137, std values: 4.802908415576147, min values: 1.3611e-06, max values: 38.905, median values: 0.21256, and quantile values: 0.25 0.065439\n0.50 0.212560\n0.75 0.908590\nName: 1675, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8437791314748428, std values: 5.1855883058558, min values: 2.1598e-06, max values: 40.667, median values: 0.31134, and quantile values: 0.25 0.082683\n0.50 0.311340\n0.75 1.327950\nName: 1676, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5574824760444026, std values: 4.99974752322628, min values: 4.6206e-07, max values: 41.096, median values: 0.20427, and quantile values: 0.25 0.061292\n0.50 0.204270\n0.75 1.043200\nName: 1677, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4474481362503147, std values: 4.868232201222035, min values: 1.5478e-06, max values: 38.615, median values: 0.21587, and quantile values: 0.25 0.060939\n0.50 0.215870\n0.75 0.840490\nName: 1678, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4144779820433333, std values: 4.8411574593556885, min values: 4.8439e-07, max values: 39.534, median values: 0.20408, and quantile values: 0.25 0.059197\n0.50 0.204080\n0.75 0.826860\nName: 1679, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4741759925339621, std values: 5.005758590201007, min values: 3.8079e-06, max values: 40.182, median values: 0.23243, and quantile values: 0.25 0.063503\n0.50 0.232430\n0.75 0.780930\nName: 1680, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.143325428337497, std values: 4.647063882124881, min values: 1.9202e-08, max values: 38.268, median values: 0.12977, and quantile values: 0.25 0.029960\n0.50 0.129770\n0.75 0.548405\nName: 1681, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6574091979987422, std values: 5.057238926188248, min values: 2.285e-06, max values: 40.337, median values: 0.25623, and quantile values: 0.25 0.072798\n0.50 0.256230\n0.75 1.081450\nName: 1682, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6635495751018867, std values: 5.2363498780973305, min values: 1.9909e-06, max values: 43.572, median values: 0.29025, and quantile values: 0.25 0.072111\n0.50 0.290250\n0.75 1.166200\nName: 1683, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.727028499422956, std values: 5.000420420388487, min values: 1.2695e-07, max values: 39.105, median values: 0.2795, and quantile values: 0.25 0.070454\n0.50 0.279500\n0.75 1.168000\nName: 1684, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5704987896679246, std values: 5.1519889360325495, min values: 4.0047e-06, max values: 41.774, median values: 0.24966, and quantile values: 0.25 0.071877\n0.50 0.249660\n0.75 0.951535\nName: 1685, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6626956232478678, std values: 5.0202702022937205, min values: 9.3011e-08, max values: 40.092, median values: 0.28117, and quantile values: 0.25 0.062265\n0.50 0.281170\n0.75 1.166600\nName: 1686, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6512889274597484, std values: 5.073362812534069, min values: 2.3633e-06, max values: 39.88, median values: 0.2861, and quantile values: 0.25 0.069125\n0.50 0.286100\n0.75 1.112900\nName: 1687, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1771990684119498, std values: 4.868546096821505, min values: 2.4182e-06, max values: 40.581, median values: 0.12397, and quantile values: 0.25 0.041705\n0.50 0.123970\n0.75 0.498770\nName: 1688, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6438958553314464, std values: 4.923592209842387, min values: 2.4788e-06, max values: 39.251, median values: 0.28006, and quantile values: 0.25 0.075085\n0.50 0.280060\n0.75 1.138250\nName: 1689, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.524615299718239, std values: 5.168152043306602, min values: 4.3669e-06, max values: 41.867, median values: 0.22114, and quantile values: 0.25 0.067483\n0.50 0.221140\n0.75 0.856960\nName: 1690, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4037723441088867, std values: 5.049881045442022, min values: 1.7213e-08, max values: 44.098, median values: 0.16021, and quantile values: 0.25 0.039567\n0.50 0.160210\n0.75 0.775005\nName: 1691, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.341927387318239, std values: 4.7835617491598965, min values: 1.6572e-06, max values: 38.865, median values: 0.18092, and quantile values: 0.25 0.056590\n0.50 0.180920\n0.75 0.766945\nName: 1692, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4705341505754717, std values: 4.69211397661851, min values: 1.1084e-06, max values: 38.393, median values: 0.25182, and quantile values: 0.25 0.065445\n0.50 0.251820\n0.75 0.897015\nName: 1693, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4712700136679244, std values: 4.8180765668673, min values: 1.1517e-06, max values: 38.117, median values: 0.22509, and quantile values: 0.25 0.066015\n0.50 0.225090\n0.75 0.927415\nName: 1694, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.468804115281761, std values: 4.769477164765374, min values: 2.5311e-06, max values: 38.686, median values: 0.23723, and quantile values: 0.25 0.070258\n0.50 0.237230\n0.75 0.920515\nName: 1695, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3259400698610693, std values: 4.793065501640466, min values: 7.7651e-07, max values: 39.248, median values: 0.20252, and quantile values: 0.25 0.060921\n0.50 0.202520\n0.75 0.748495\nName: 1696, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3227843507660377, std values: 4.685673110917001, min values: 3.3731e-06, max values: 40.43, median values: 0.19932, and quantile values: 0.25 0.059393\n0.50 0.199320\n0.75 0.655525\nName: 1697, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5038439888811321, std values: 4.992060923791198, min values: 5.6472e-06, max values: 41.072, median values: 0.21718, and quantile values: 0.25 0.061722\n0.50 0.217180\n0.75 0.768920\nName: 1698, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.546457090335723, std values: 5.2009368860659375, min values: 1.3748e-07, max values: 45.966, median values: 0.21606, and quantile values: 0.25 0.059314\n0.50 0.216060\n0.75 0.919840\nName: 1699, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7176588137691005, std values: 5.50922990436851, min values: 2.9797e-08, max values: 50.462, median values: 0.23594, and quantile values: 0.25 0.053913\n0.50 0.235940\n0.75 1.025925\nName: 1700, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.345350422045283, std values: 4.861202734589185, min values: 1.9426e-06, max values: 38.977, median values: 0.18768, and quantile values: 0.25 0.052071\n0.50 0.187680\n0.75 0.717000\nName: 1701, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4935246085157232, std values: 4.601260420410024, min values: 1.4346e-06, max values: 38.38, median values: 0.24249, and quantile values: 0.25 0.072975\n0.50 0.242490\n0.75 1.004635\nName: 1702, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.334686404683585, std values: 4.575252739471829, min values: 4.7949e-07, max values: 38.135, median values: 0.17121, and quantile values: 0.25 0.050801\n0.50 0.171210\n0.75 0.795900\nName: 1703, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4861269810935722, std values: 4.720125444342236, min values: 2.5578e-08, max values: 36.987, median values: 0.24749, and quantile values: 0.25 0.055805\n0.50 0.247490\n0.75 0.961180\nName: 1704, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4961759757767294, std values: 5.003289348203816, min values: 1.8482e-06, max values: 40.016, median values: 0.22678, and quantile values: 0.25 0.059851\n0.50 0.226780\n0.75 0.936810\nName: 1705, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1308378945572326, std values: 4.419994143112259, min values: 3.991e-07, max values: 37.206, median values: 0.13724, and quantile values: 0.25 0.041655\n0.50 0.137240\n0.75 0.550755\nName: 1706, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2835234023350315, std values: 4.605838283453777, min values: 2.9517e-07, max values: 37.247, median values: 0.16476, and quantile values: 0.25 0.050983\n0.50 0.164760\n0.75 0.711300\nName: 1707, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2315352558160377, std values: 4.592312549828814, min values: 1.3679e-07, max values: 36.913, median values: 0.13, and quantile values: 0.25 0.041066\n0.50 0.130000\n0.75 0.623600\nName: 1708, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4652768531113205, std values: 4.915999095288089, min values: 1.3591e-06, max values: 39.147, median values: 0.20712, and quantile values: 0.25 0.060825\n0.50 0.207120\n0.75 0.886425\nName: 1709, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5495984160308178, std values: 4.800044454195871, min values: 1.5997e-06, max values: 38.55, median values: 0.25012, and quantile values: 0.25 0.075985\n0.50 0.250120\n0.75 1.011500\nName: 1710, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4527557075622641, std values: 4.952453128777102, min values: 2.8922e-06, max values: 39.812, median values: 0.21671, and quantile values: 0.25 0.065606\n0.50 0.216710\n0.75 0.867505\nName: 1711, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3496834002286415, std values: 4.895440403280158, min values: 1.8114e-08, max values: 41.066, median values: 0.15255, and quantile values: 0.25 0.040632\n0.50 0.152550\n0.75 0.698980\nName: 1712, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5115677834238994, std values: 5.1624669277511055, min values: 1.7813e-06, max values: 43.991, median values: 0.2399, and quantile values: 0.25 0.068715\n0.50 0.239900\n0.75 0.899950\nName: 1713, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4601655019622641, std values: 4.925488326637222, min values: 2.5418e-06, max values: 40.16, median values: 0.24001, and quantile values: 0.25 0.060858\n0.50 0.240010\n0.75 0.876690\nName: 1714, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6415835867251571, std values: 4.982775587416006, min values: 3.9153e-06, max values: 39.923, median values: 0.3092, and quantile values: 0.25 0.083072\n0.50 0.309200\n0.75 1.071300\nName: 1715, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4060812379081762, std values: 4.908902319582285, min values: 1.3268e-06, max values: 39.5, median values: 0.21557, and quantile values: 0.25 0.056590\n0.50 0.215570\n0.75 0.863285\nName: 1716, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4906763566432704, std values: 4.920120260106759, min values: 6.1468e-07, max values: 40.227, median values: 0.21984, and quantile values: 0.25 0.061521\n0.50 0.219840\n0.75 0.909325\nName: 1717, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.287481593273585, std values: 4.567365214548535, min values: 3.801e-07, max values: 37.232, median values: 0.16779, and quantile values: 0.25 0.049161\n0.50 0.167790\n0.75 0.752850\nName: 1718, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6043381871748426, std values: 5.209020061728791, min values: 4.9973e-06, max values: 41.845, median values: 0.26727, and quantile values: 0.25 0.072722\n0.50 0.267270\n0.75 0.904270\nName: 1719, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.569560533936478, std values: 4.8881295045331035, min values: 2.229e-06, max values: 39.429, median values: 0.278, and quantile values: 0.25 0.064821\n0.50 0.278000\n0.75 1.037405\nName: 1720, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4955588549084278, std values: 4.875666203594428, min values: 3.5184e-07, max values: 39.833, median values: 0.19763, and quantile values: 0.25 0.05564\n0.50 0.19763\n0.75 0.91571\nName: 1721, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6090404729320757, std values: 5.313673750882597, min values: 2.3913e-06, max values: 44.778, median values: 0.2558, and quantile values: 0.25 0.077062\n0.50 0.255800\n0.75 0.950485\nName: 1722, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5121924209003774, std values: 4.917383378960878, min values: 3.1216e-07, max values: 40.541, median values: 0.21401, and quantile values: 0.25 0.05907\n0.50 0.21401\n0.75 0.93638\nName: 1723, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6143477878820127, std values: 4.978641818265964, min values: 1.9864e-07, max values: 40.215, median values: 0.25285, and quantile values: 0.25 0.065267\n0.50 0.252850\n0.75 1.053900\nName: 1724, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2695302772973835, std values: 4.657244930295535, min values: 5.2284e-08, max values: 38.025, median values: 0.16027, and quantile values: 0.25 0.042001\n0.50 0.160270\n0.75 0.642450\nName: 1725, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6874799970326413, std values: 5.3279140898612996, min values: 7.8829e-07, max values: 46.047, median values: 0.26148, and quantile values: 0.25 0.073227\n0.50 0.261480\n0.75 1.131600\nName: 1726, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4132035426742138, std values: 4.849657575974732, min values: 1.6231e-06, max values: 38.806, median values: 0.21711, and quantile values: 0.25 0.062781\n0.50 0.217110\n0.75 0.821990\nName: 1727, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.568181148015283, std values: 4.925575511913543, min values: 3.0933e-07, max values: 39.906, median values: 0.23766, and quantile values: 0.25 0.059206\n0.50 0.237660\n0.75 1.009400\nName: 1728, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4165899872842769, std values: 4.854051954798038, min values: 3.2643e-06, max values: 39.336, median values: 0.21302, and quantile values: 0.25 0.059682\n0.50 0.213020\n0.75 0.816720\nName: 1729, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.578871493921893, std values: 4.6031893515364395, min values: 1.9991e-08, max values: 36.047, median values: 0.20648, and quantile values: 0.25 0.050673\n0.50 0.206480\n0.75 1.075800\nName: 1730, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8287103807679246, std values: 5.272560511266646, min values: 1.3244e-06, max values: 43.197, median values: 0.30763, and quantile values: 0.25 0.079044\n0.50 0.307630\n0.75 1.327250\nName: 1731, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.615478196834591, std values: 5.037771957837189, min values: 3.26e-06, max values: 40.101, median values: 0.24156, and quantile values: 0.25 0.069927\n0.50 0.241560\n0.75 0.996700\nName: 1732, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3788124488276603, std values: 4.7952664378106284, min values: 4.5598e-08, max values: 39.172, median values: 0.19561, and quantile values: 0.25 0.055772\n0.50 0.195610\n0.75 0.830015\nName: 1733, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.438559713399371, std values: 5.006965561830128, min values: 4.0805e-06, max values: 40.582, median values: 0.19798, and quantile values: 0.25 0.061417\n0.50 0.197980\n0.75 0.777340\nName: 1734, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2791768249009936, std values: 4.555616422674951, min values: 2.6008e-08, max values: 36.107, median values: 0.1544, and quantile values: 0.25 0.035620\n0.50 0.154400\n0.75 0.669745\nName: 1735, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4403655952893082, std values: 4.814293470936291, min values: 1.1529e-06, max values: 39.227, median values: 0.20183, and quantile values: 0.25 0.068588\n0.50 0.201830\n0.75 0.866985\nName: 1736, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4343480453169812, std values: 5.055734267595373, min values: 1.4271e-06, max values: 42.622, median values: 0.22966, and quantile values: 0.25 0.060788\n0.50 0.229660\n0.75 0.824600\nName: 1737, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5251395314369562, std values: 4.931373351548235, min values: 2.9676e-08, max values: 41.472, median values: 0.21036, and quantile values: 0.25 0.050820\n0.50 0.210360\n0.75 0.990225\nName: 1738, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5327121505138364, std values: 4.7710064512308765, min values: 3.0877e-06, max values: 39.107, median values: 0.25269, and quantile values: 0.25 0.071796\n0.50 0.252690\n0.75 1.015750\nName: 1739, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.180732956816245, std values: 4.373463935730432, min values: 1.6193e-08, max values: 35.394, median values: 0.11729, and quantile values: 0.25 0.029236\n0.50 0.117290\n0.75 0.588795\nName: 1740, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5027201691446541, std values: 4.906437327498236, min values: 3.5032e-06, max values: 40.786, median values: 0.25256, and quantile values: 0.25 0.071492\n0.50 0.252560\n0.75 0.893360\nName: 1741, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2926919215968555, std values: 4.811561153974677, min values: 1.2392e-06, max values: 39.479, median values: 0.18218, and quantile values: 0.25 0.044576\n0.50 0.182180\n0.75 0.744505\nName: 1742, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4649191960968553, std values: 4.9501724604795925, min values: 1.1183e-06, max values: 40.351, median values: 0.21905, and quantile values: 0.25 0.056336\n0.50 0.219050\n0.75 0.809885\nName: 1743, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.31373617332717, std values: 4.874427697722344, min values: 1.2302e-07, max values: 42.12, median values: 0.15991, and quantile values: 0.25 0.037682\n0.50 0.159910\n0.75 0.639585\nName: 1744, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.288227526753522, std values: 4.749967393534003, min values: 7.2851e-07, max values: 38.106, median values: 0.16718, and quantile values: 0.25 0.049182\n0.50 0.167180\n0.75 0.726230\nName: 1745, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.444534817275472, std values: 4.6148087535023, min values: 1.1223e-06, max values: 37.796, median values: 0.23513, and quantile values: 0.25 0.069945\n0.50 0.235130\n0.75 0.906285\nName: 1746, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5410827669279874, std values: 4.730012810467739, min values: 7.6745e-07, max values: 37.894, median values: 0.26951, and quantile values: 0.25 0.06896\n0.50 0.26951\n0.75 1.02105\nName: 1747, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4573436451139437, std values: 5.092533415350194, min values: 8.6617e-08, max values: 43.522, median values: 0.19792, and quantile values: 0.25 0.051017\n0.50 0.197920\n0.75 0.792535\nName: 1748, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3302572688291823, std values: 4.74050815216157, min values: 5.3752e-07, max values: 39.075, median values: 0.17665, and quantile values: 0.25 0.044273\n0.50 0.176650\n0.75 0.722645\nName: 1749, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5907862743308177, std values: 5.009400234291827, min values: 3.2006e-06, max values: 39.533, median values: 0.24737, and quantile values: 0.25 0.074286\n0.50 0.247370\n0.75 1.018600\nName: 1750, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4598882882611324, std values: 4.788653289473265, min values: 2.2272e-07, max values: 38.317, median values: 0.21747, and quantile values: 0.25 0.054469\n0.50 0.217470\n0.75 0.898170\nName: 1751, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5686833260338993, std values: 4.893304859000835, min values: 1.563e-08, max values: 39.744, median values: 0.23355, and quantile values: 0.25 0.062008\n0.50 0.233550\n0.75 1.003960\nName: 1752, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4357203691069182, std values: 4.937426196470697, min values: 1.4512e-06, max values: 40.159, median values: 0.19992, and quantile values: 0.25 0.062593\n0.50 0.199920\n0.75 0.885010\nName: 1753, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.29623131122283, std values: 4.776813177895404, min values: 5.2663e-07, max values: 39.157, median values: 0.1875, and quantile values: 0.25 0.052199\n0.50 0.187500\n0.75 0.731595\nName: 1754, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4044615673202518, std values: 4.680034013968277, min values: 4.2512e-07, max values: 37.511, median values: 0.22111, and quantile values: 0.25 0.058606\n0.50 0.221110\n0.75 0.828940\nName: 1755, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4167818501509437, std values: 5.0126817503097065, min values: 1.2217e-06, max values: 41.813, median values: 0.1841, and quantile values: 0.25 0.058547\n0.50 0.184100\n0.75 0.787430\nName: 1756, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3431173300016352, std values: 4.6478582743003445, min values: 5.8876e-07, max values: 37.935, median values: 0.17818, and quantile values: 0.25 0.053772\n0.50 0.178180\n0.75 0.827815\nName: 1757, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4858932380138363, std values: 4.734606853598893, min values: 1.8278e-06, max values: 38.907, median values: 0.23156, and quantile values: 0.25 0.065541\n0.50 0.231560\n0.75 0.951930\nName: 1758, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3080877501685535, std values: 4.687679334774185, min values: 2.8001e-06, max values: 40.158, median values: 0.18528, and quantile values: 0.25 0.057867\n0.50 0.185280\n0.75 0.694370\nName: 1759, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6553986872320754, std values: 5.254482198026339, min values: 3.5832e-06, max values: 43.524, median values: 0.26599, and quantile values: 0.25 0.075157\n0.50 0.265990\n0.75 0.990795\nName: 1760, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.596353606099371, std values: 4.969546533791681, min values: 3.7907e-06, max values: 39.578, median values: 0.25703, and quantile values: 0.25 0.078921\n0.50 0.257030\n0.75 1.026195\nName: 1761, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5260925614069185, std values: 5.0700345628657075, min values: 2.4785e-06, max values: 41.432, median values: 0.22262, and quantile values: 0.25 0.062545\n0.50 0.222620\n0.75 0.904115\nName: 1762, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7541352899240252, std values: 5.452944572359116, min values: 6.4482e-07, max values: 48.044, median values: 0.26759, and quantile values: 0.25 0.066241\n0.50 0.267590\n0.75 1.223100\nName: 1763, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7614504103918243, std values: 5.491668803934092, min values: 4.547e-06, max values: 45.453, median values: 0.29545, and quantile values: 0.25 0.078645\n0.50 0.295450\n0.75 1.051550\nName: 1764, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6999893985075472, std values: 5.203089034306207, min values: 2.7028e-06, max values: 42.463, median values: 0.3061, and quantile values: 0.25 0.077888\n0.50 0.306100\n0.75 1.145650\nName: 1765, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7732464928415095, std values: 5.747567569073096, min values: 2.3039e-06, max values: 53.071, median values: 0.28025, and quantile values: 0.25 0.077821\n0.50 0.280250\n0.75 1.142300\nName: 1766, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.489574538665409, std values: 4.955342711360477, min values: 2.6524e-06, max values: 40.355, median values: 0.23851, and quantile values: 0.25 0.061552\n0.50 0.238510\n0.75 0.896885\nName: 1767, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3558128920264154, std values: 4.805532130608348, min values: 1.5626e-06, max values: 38.858, median values: 0.20483, and quantile values: 0.25 0.059008\n0.50 0.204830\n0.75 0.794300\nName: 1768, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6721310437421384, std values: 5.077585257660613, min values: 1.7476e-06, max values: 40.549, median values: 0.27602, and quantile values: 0.25 0.083512\n0.50 0.276020\n0.75 1.039150\nName: 1769, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5069287192465408, std values: 5.168887754938399, min values: 3.2135e-06, max values: 42.885, median values: 0.24719, and quantile values: 0.25 0.062891\n0.50 0.247190\n0.75 0.933435\nName: 1770, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5506658827754718, std values: 4.768099268388764, min values: 0.0, max values: 38.221, median values: 0.26112, and quantile values: 0.25 0.069085\n0.50 0.261120\n0.75 1.018850\nName: 1771, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.437873584025157, std values: 4.906211923229425, min values: 1.3962e-06, max values: 39.408, median values: 0.21231, and quantile values: 0.25 0.056412\n0.50 0.212310\n0.75 0.882940\nName: 1772, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4294228021826414, std values: 4.65612851894599, min values: 4.1244e-07, max values: 37.518, median values: 0.18294, and quantile values: 0.25 0.04655\n0.50 0.18294\n0.75 0.81469\nName: 1773, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4815487705669623, std values: 4.882066331587288, min values: 1.9867e-08, max values: 40.037, median values: 0.18897, and quantile values: 0.25 0.049517\n0.50 0.188970\n0.75 0.892970\nName: 1774, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.671884870008805, std values: 4.844992800315211, min values: 4.3454e-06, max values: 39.693, median values: 0.27804, and quantile values: 0.25 0.076445\n0.50 0.278040\n0.75 1.118900\nName: 1775, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.37154385026283, std values: 4.807996407751752, min values: 5.9459e-07, max values: 39.082, median values: 0.16865, and quantile values: 0.25 0.050845\n0.50 0.168650\n0.75 0.731560\nName: 1776, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5393387799987421, std values: 4.77450146967318, min values: 2.776e-06, max values: 39.601, median values: 0.27878, and quantile values: 0.25 0.069548\n0.50 0.278780\n0.75 0.927750\nName: 1777, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4415448287415094, std values: 4.662364104367988, min values: 2.2492e-06, max values: 38.617, median values: 0.25012, and quantile values: 0.25 0.070006\n0.50 0.250120\n0.75 0.919360\nName: 1778, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3818339410704403, std values: 4.896682868647189, min values: 1.4688e-06, max values: 40.141, median values: 0.199, and quantile values: 0.25 0.062499\n0.50 0.199000\n0.75 0.773720\nName: 1779, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5665791547388679, std values: 5.085211901942281, min values: 1.726e-08, max values: 43.606, median values: 0.21958, and quantile values: 0.25 0.053678\n0.50 0.219580\n0.75 0.982290\nName: 1780, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4111395078708175, std values: 4.915143438363986, min values: 9.8046e-07, max values: 40.322, median values: 0.2004, and quantile values: 0.25 0.058747\n0.50 0.200400\n0.75 0.844965\nName: 1781, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.438115485571258, std values: 4.692496433871027, min values: 6.5433e-07, max values: 38.552, median values: 0.20968, and quantile values: 0.25 0.062121\n0.50 0.209680\n0.75 0.903255\nName: 1782, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.57885202965, std values: 5.162779949599688, min values: 5.2265e-07, max values: 43.287, median values: 0.24052, and quantile values: 0.25 0.061046\n0.50 0.240520\n0.75 0.960230\nName: 1783, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8158178559503144, std values: 5.090587093196482, min values: 2.6917e-06, max values: 39.067, median values: 0.31955, and quantile values: 0.25 0.089017\n0.50 0.319550\n0.75 1.299450\nName: 1784, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.469605848636478, std values: 4.8833365303307446, min values: 1.8012e-06, max values: 38.8, median values: 0.22826, and quantile values: 0.25 0.066636\n0.50 0.228260\n0.75 0.875805\nName: 1785, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5021254647245283, std values: 5.171430062548783, min values: 2.1658e-06, max values: 43.651, median values: 0.25447, and quantile values: 0.25 0.060808\n0.50 0.254470\n0.75 0.851655\nName: 1786, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6186396571031445, std values: 5.033511618582114, min values: 3.698e-06, max values: 39.55, median values: 0.28468, and quantile values: 0.25 0.072583\n0.50 0.284680\n0.75 0.959000\nName: 1787, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4277488704774215, std values: 4.90088171440807, min values: 1.9211e-07, max values: 40.323, median values: 0.1921, and quantile values: 0.25 0.052915\n0.50 0.192100\n0.75 0.805145\nName: 1788, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4640066334648425, std values: 4.919313921223403, min values: 7.9581e-07, max values: 39.62, median values: 0.20978, and quantile values: 0.25 0.061487\n0.50 0.209780\n0.75 0.864370\nName: 1789, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5426885119037734, std values: 5.15636007826363, min values: 6.259e-07, max values: 43.368, median values: 0.232, and quantile values: 0.25 0.064374\n0.50 0.232000\n0.75 0.950980\nName: 1790, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.178697992931132, std values: 4.436755915235721, min values: 7.5675e-07, max values: 38.311, median values: 0.16245, and quantile values: 0.25 0.042715\n0.50 0.162450\n0.75 0.590060\nName: 1791, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3564250515, std values: 4.897788966820893, min values: 2.0911e-06, max values: 39.861, median values: 0.1992, and quantile values: 0.25 0.054794\n0.50 0.199200\n0.75 0.790275\nName: 1792, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4156969438798743, std values: 4.989737253525795, min values: 4.6876e-06, max values: 41.852, median values: 0.17626, and quantile values: 0.25 0.051803\n0.50 0.176260\n0.75 0.655440\nName: 1793, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6716828711798744, std values: 4.9540965031413196, min values: 2.788e-07, max values: 39.195, median values: 0.26905, and quantile values: 0.25 0.074353\n0.50 0.269050\n0.75 1.199450\nName: 1794, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3631275870245283, std values: 4.782721018790018, min values: 1.2535e-06, max values: 39.673, median values: 0.19734, and quantile values: 0.25 0.059296\n0.50 0.197340\n0.75 0.815000\nName: 1795, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5637231077119498, std values: 4.908449935911396, min values: 3.6623e-06, max values: 39.155, median values: 0.26522, and quantile values: 0.25 0.077715\n0.50 0.265220\n0.75 0.981685\nName: 1796, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3441053371658174, std values: 4.701144321706944, min values: 1.7965e-08, max values: 37.423, median values: 0.17813, and quantile values: 0.25 0.052191\n0.50 0.178130\n0.75 0.801425\nName: 1797, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4995033133641509, std values: 4.980759932653993, min values: 4.4579e-06, max values: 40.972, median values: 0.23047, and quantile values: 0.25 0.067696\n0.50 0.230470\n0.75 0.825325\nName: 1798, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2977728695881132, std values: 4.634263441049545, min values: 5.3871e-07, max values: 37.789, median values: 0.18782, and quantile values: 0.25 0.053707\n0.50 0.187820\n0.75 0.657035\nName: 1799, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5524933163150942, std values: 5.248813127564306, min values: 3.9719e-06, max values: 43.149, median values: 0.22905, and quantile values: 0.25 0.070934\n0.50 0.229050\n0.75 0.862920\nName: 1800, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4038661409867297, std values: 4.775087475777254, min values: 4.2379e-07, max values: 38.011, median values: 0.20188, and quantile values: 0.25 0.053060\n0.50 0.201880\n0.75 0.884455\nName: 1801, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8630452701968556, std values: 5.330375647115796, min values: 3.4382e-06, max values: 42.179, median values: 0.3495, and quantile values: 0.25 0.087475\n0.50 0.349500\n0.75 1.286800\nName: 1802, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.778475441509434, std values: 5.217206468335517, min values: 5.1592e-06, max values: 40.169, median values: 0.29041, and quantile values: 0.25 0.080007\n0.50 0.290410\n0.75 1.199450\nName: 1803, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4745741276823898, std values: 4.983757965694802, min values: 2.7053e-06, max values: 39.855, median values: 0.2099, and quantile values: 0.25 0.06438\n0.50 0.20990\n0.75 0.87087\nName: 1804, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.424008942950566, std values: 4.712871953695697, min values: 2.094e-08, max values: 38.198, median values: 0.21966, and quantile values: 0.25 0.049502\n0.50 0.219660\n0.75 0.884940\nName: 1805, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3910451054925785, std values: 4.746842589612696, min values: 1.3686e-07, max values: 38.39, median values: 0.20929, and quantile values: 0.25 0.046242\n0.50 0.209290\n0.75 0.805185\nName: 1806, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5748975113685535, std values: 5.0759502333334225, min values: 2.3164e-06, max values: 40.934, median values: 0.26649, and quantile values: 0.25 0.073671\n0.50 0.266490\n0.75 0.959290\nName: 1807, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4499787541710694, std values: 4.763921966263722, min values: 1.7965e-06, max values: 38.767, median values: 0.24059, and quantile values: 0.25 0.062362\n0.50 0.240590\n0.75 0.940705\nName: 1808, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3815398218230188, std values: 4.820062829769169, min values: 8.8216e-07, max values: 38.49, median values: 0.215, and quantile values: 0.25 0.053277\n0.50 0.215000\n0.75 0.835105\nName: 1809, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.531514079044025, std values: 5.204906403011367, min values: 2.6635e-06, max values: 43.154, median values: 0.20607, and quantile values: 0.25 0.055629\n0.50 0.206070\n0.75 0.977045\nName: 1810, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.769288023255346, std values: 5.455493960782452, min values: 2.2308e-06, max values: 46.559, median values: 0.28718, and quantile values: 0.25 0.078429\n0.50 0.287180\n0.75 1.181600\nName: 1811, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5121548222446541, std values: 5.031661547335038, min values: 3.7698e-06, max values: 40.92, median values: 0.2219, and quantile values: 0.25 0.069985\n0.50 0.221900\n0.75 0.854895\nName: 1812, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5684957478020125, std values: 4.8633828534992976, min values: 4.8872e-07, max values: 38.042, median values: 0.24322, and quantile values: 0.25 0.070061\n0.50 0.243220\n0.75 1.060950\nName: 1813, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4347599307018868, std values: 4.674147496219441, min values: 1.0237e-06, max values: 37.275, median values: 0.22683, and quantile values: 0.25 0.064881\n0.50 0.226830\n0.75 0.920615\nName: 1814, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6332197439428302, std values: 5.3100452828616325, min values: 4.6401e-07, max values: 47.212, median values: 0.27791, and quantile values: 0.25 0.064917\n0.50 0.277910\n0.75 1.003945\nName: 1815, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2528789181037734, std values: 4.708745855550677, min values: 1.0187e-06, max values: 38.184, median values: 0.15317, and quantile values: 0.25 0.054650\n0.50 0.153170\n0.75 0.605595\nName: 1816, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7261575173698112, std values: 5.260377587494513, min values: 6.4117e-06, max values: 41.427, median values: 0.28264, and quantile values: 0.25 0.085934\n0.50 0.282640\n0.75 1.076700\nName: 1817, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.38431486785195, std values: 4.819628948994641, min values: 8.5696e-07, max values: 38.642, median values: 0.17707, and quantile values: 0.25 0.052645\n0.50 0.177070\n0.75 0.792905\nName: 1818, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3915979281226414, std values: 4.861950748157396, min values: 5.1032e-06, max values: 41.247, median values: 0.19685, and quantile values: 0.25 0.061211\n0.50 0.196850\n0.75 0.714545\nName: 1819, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.454809058984025, std values: 4.777789251360044, min values: 3.5686e-07, max values: 37.916, median values: 0.23883, and quantile values: 0.25 0.058355\n0.50 0.238830\n0.75 0.884745\nName: 1820, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4146213770874214, std values: 4.7483919960920735, min values: 1.0556e-06, max values: 38.262, median values: 0.22265, and quantile values: 0.25 0.062210\n0.50 0.222650\n0.75 0.876295\nName: 1821, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6863889582798743, std values: 4.978343608721449, min values: 1.3243e-06, max values: 38.611, median values: 0.30404, and quantile values: 0.25 0.076342\n0.50 0.304040\n0.75 1.151050\nName: 1822, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3652531992446792, std values: 4.87671541351643, min values: 2.9144e-08, max values: 41.082, median values: 0.2052, and quantile values: 0.25 0.042154\n0.50 0.205200\n0.75 0.807400\nName: 1823, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4318158386803774, std values: 4.755105066813447, min values: 1.8248e-07, max values: 37.962, median values: 0.18647, and quantile values: 0.25 0.051311\n0.50 0.186470\n0.75 0.836130\nName: 1824, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3406751401685535, std values: 4.736807880011583, min values: 1.3186e-06, max values: 38.491, median values: 0.18943, and quantile values: 0.25 0.057127\n0.50 0.189430\n0.75 0.767710\nName: 1825, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3500738815621447, std values: 4.66620219207399, min values: 1.8451e-08, max values: 37.646, median values: 0.17509, and quantile values: 0.25 0.041785\n0.50 0.175090\n0.75 0.766010\nName: 1826, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4990958615025158, std values: 4.970983481822137, min values: 2.8255e-06, max values: 39.899, median values: 0.25015, and quantile values: 0.25 0.069785\n0.50 0.250150\n0.75 0.869995\nName: 1827, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7314870333509431, std values: 5.015964900235926, min values: 1.7984e-06, max values: 38.925, median values: 0.29691, and quantile values: 0.25 0.081381\n0.50 0.296910\n0.75 1.306200\nName: 1828, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4895313071015095, std values: 4.725309081827109, min values: 2.7704e-07, max values: 37.893, median values: 0.19962, and quantile values: 0.25 0.063617\n0.50 0.199620\n0.75 0.904515\nName: 1829, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4727254315283018, std values: 4.880187893334482, min values: 1.3706e-06, max values: 38.926, median values: 0.24035, and quantile values: 0.25 0.060542\n0.50 0.240350\n0.75 0.868565\nName: 1830, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3523746284194968, std values: 4.698667973655605, min values: 1.2e-06, max values: 38.655, median values: 0.18218, and quantile values: 0.25 0.051805\n0.50 0.182180\n0.75 0.798905\nName: 1831, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5406983650691823, std values: 4.884731090423901, min values: 1.9594e-06, max values: 39.24, median values: 0.23925, and quantile values: 0.25 0.069496\n0.50 0.239250\n0.75 0.966435\nName: 1832, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7625276319503147, std values: 4.977811873749539, min values: 2.7074e-06, max values: 39.268, median values: 0.33114, and quantile values: 0.25 0.083503\n0.50 0.331140\n0.75 1.274400\nName: 1833, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6398598869603773, std values: 4.947255015932198, min values: 5.0275e-06, max values: 40.274, median values: 0.26784, and quantile values: 0.25 0.082671\n0.50 0.267840\n0.75 1.064950\nName: 1834, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.499963744665409, std values: 4.820973088420183, min values: 1.7084e-06, max values: 39.385, median values: 0.2218, and quantile values: 0.25 0.06894\n0.50 0.22180\n0.75 0.91107\nName: 1835, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5525563210157232, std values: 4.852385550452458, min values: 1.0574e-06, max values: 38.228, median values: 0.23402, and quantile values: 0.25 0.060839\n0.50 0.234020\n0.75 1.021650\nName: 1836, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2866845508270441, std values: 4.754543030889636, min values: 1.8856e-06, max values: 38.39, median values: 0.15511, and quantile values: 0.25 0.049104\n0.50 0.155110\n0.75 0.650705\nName: 1837, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6527347235213836, std values: 5.210298599172532, min values: 3.7694e-06, max values: 41.045, median values: 0.25996, and quantile values: 0.25 0.070785\n0.50 0.259960\n0.75 0.968560\nName: 1838, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6163833114067923, std values: 5.063143086628943, min values: 8.1518e-07, max values: 41.219, median values: 0.24802, and quantile values: 0.25 0.070737\n0.50 0.248020\n0.75 1.056700\nName: 1839, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5118717889798745, std values: 4.757273368269602, min values: 1.0994e-06, max values: 38.267, median values: 0.25338, and quantile values: 0.25 0.069546\n0.50 0.253380\n0.75 0.954730\nName: 1840, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5052649945232703, std values: 5.1769671748912405, min values: 2.4483e-06, max values: 43.933, median values: 0.21862, and quantile values: 0.25 0.068353\n0.50 0.218620\n0.75 0.865445\nName: 1841, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5477691500955975, std values: 5.268140985113903, min values: 1.4112e-06, max values: 46.135, median values: 0.23683, and quantile values: 0.25 0.068529\n0.50 0.236830\n0.75 0.879725\nName: 1842, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5190398143698114, std values: 4.983817683560932, min values: 3.2334e-06, max values: 39.712, median values: 0.235, and quantile values: 0.25 0.067981\n0.50 0.235000\n0.75 0.888325\nName: 1843, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4311354002264152, std values: 4.983290921430969, min values: 1.1227e-06, max values: 40.436, median values: 0.20138, and quantile values: 0.25 0.051729\n0.50 0.201380\n0.75 0.811635\nName: 1844, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4063716060408806, std values: 4.99469759935353, min values: 4.1904e-06, max values: 40.176, median values: 0.21706, and quantile values: 0.25 0.063549\n0.50 0.217060\n0.75 0.732870\nName: 1845, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4704606548522012, std values: 5.016568383179761, min values: 2.0739e-06, max values: 40.246, median values: 0.21678, and quantile values: 0.25 0.061672\n0.50 0.216780\n0.75 0.869500\nName: 1846, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3194931447100626, std values: 4.93790126911125, min values: 1.3534e-06, max values: 40.05, median values: 0.17245, and quantile values: 0.25 0.045746\n0.50 0.172450\n0.75 0.697865\nName: 1847, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4119714938402514, std values: 4.937438859669053, min values: 1.3505e-06, max values: 39.967, median values: 0.17843, and quantile values: 0.25 0.058049\n0.50 0.178430\n0.75 0.803550\nName: 1848, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7371145044786163, std values: 5.409356361719854, min values: 3.6434e-06, max values: 45.544, median values: 0.30379, and quantile values: 0.25 0.082582\n0.50 0.303790\n0.75 1.129170\nName: 1849, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5293481915578617, std values: 4.899919357269422, min values: 2.7454e-06, max values: 39.165, median values: 0.22584, and quantile values: 0.25 0.071768\n0.50 0.225840\n0.75 0.938610\nName: 1850, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.339318254308805, std values: 4.508874726710214, min values: 5.203e-07, max values: 37.622, median values: 0.18626, and quantile values: 0.25 0.055051\n0.50 0.186260\n0.75 0.797010\nName: 1851, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.493958863006918, std values: 4.849311063360345, min values: 3.8754e-06, max values: 40.325, median values: 0.24696, and quantile values: 0.25 0.066766\n0.50 0.246960\n0.75 0.886030\nName: 1852, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.485189568691824, std values: 5.2598565408908655, min values: 2.1614e-06, max values: 45.652, median values: 0.23482, and quantile values: 0.25 0.057516\n0.50 0.234820\n0.75 0.906220\nName: 1853, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4424896765069182, std values: 4.8271305053437565, min values: 7.831e-07, max values: 38.339, median values: 0.21257, and quantile values: 0.25 0.061684\n0.50 0.212570\n0.75 0.885965\nName: 1854, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3139733952716979, std values: 4.811342907340709, min values: 2.4912e-06, max values: 39.527, median values: 0.18635, and quantile values: 0.25 0.057787\n0.50 0.186350\n0.75 0.645225\nName: 1855, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6709493625427672, std values: 4.947775042659406, min values: 1.3109e-06, max values: 38.916, median values: 0.29277, and quantile values: 0.25 0.071949\n0.50 0.292770\n0.75 1.102100\nName: 1856, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.484003851591824, std values: 4.822242364818655, min values: 1.9534e-06, max values: 39.239, median values: 0.24368, and quantile values: 0.25 0.068230\n0.50 0.243680\n0.75 0.883055\nName: 1857, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6095494986792451, std values: 5.038884267686915, min values: 1.3081e-06, max values: 40.38, median values: 0.24667, and quantile values: 0.25 0.068771\n0.50 0.246670\n0.75 1.064200\nName: 1858, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3834439457694214, std values: 4.828522728649588, min values: 2.2668e-08, max values: 39.931, median values: 0.1958, and quantile values: 0.25 0.054123\n0.50 0.195800\n0.75 0.802445\nName: 1859, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5260457359446538, std values: 4.918381227635934, min values: 1.1115e-06, max values: 39.055, median values: 0.25505, and quantile values: 0.25 0.065731\n0.50 0.255050\n0.75 0.909025\nName: 1860, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3484551056296854, std values: 4.888871987778175, min values: 4.7742e-07, max values: 40.129, median values: 0.17441, and quantile values: 0.25 0.044559\n0.50 0.174410\n0.75 0.742265\nName: 1861, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5909013200830189, std values: 4.765058593366664, min values: 3.5933e-06, max values: 39.676, median values: 0.24159, and quantile values: 0.25 0.07796\n0.50 0.24159\n0.75 0.99146\nName: 1862, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.214061917918239, std values: 4.779158934500059, min values: 2.0395e-06, max values: 39.754, median values: 0.15327, and quantile values: 0.25 0.04687\n0.50 0.15327\n0.75 0.52333\nName: 1863, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.552776838610692, std values: 5.231556228121289, min values: 6.259e-07, max values: 45.215, median values: 0.26591, and quantile values: 0.25 0.066733\n0.50 0.265910\n0.75 0.949455\nName: 1864, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5450374497786163, std values: 5.057532887271083, min values: 2.3486e-06, max values: 40.782, median values: 0.22781, and quantile values: 0.25 0.070438\n0.50 0.227810\n0.75 0.907330\nName: 1865, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5242500917924526, std values: 5.3231602821245065, min values: 2.5924e-06, max values: 46.207, median values: 0.23313, and quantile values: 0.25 0.06553\n0.50 0.23313\n0.75 0.87363\nName: 1866, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.762245313782346, std values: 5.095063601197613, min values: 4.4723e-08, max values: 41.542, median values: 0.29755, and quantile values: 0.25 0.066857\n0.50 0.297550\n0.75 1.287600\nName: 1867, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4511204229232706, std values: 5.0537938475635, min values: 1.4146e-06, max values: 42.098, median values: 0.20778, and quantile values: 0.25 0.061063\n0.50 0.207780\n0.75 0.806965\nName: 1868, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5804233401018866, std values: 5.23115607187455, min values: 2.7207e-06, max values: 43.803, median values: 0.23156, and quantile values: 0.25 0.070259\n0.50 0.231560\n0.75 0.946815\nName: 1869, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3455768172315097, std values: 4.717940989375122, min values: 2.2179e-07, max values: 37.84, median values: 0.18297, and quantile values: 0.25 0.043402\n0.50 0.182970\n0.75 0.767260\nName: 1870, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4402427021534592, std values: 4.882782765074896, min values: 1.6232e-06, max values: 39.234, median values: 0.24414, and quantile values: 0.25 0.059325\n0.50 0.244140\n0.75 0.858970\nName: 1871, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5430217768286794, std values: 4.804038914606811, min values: 2.0156e-07, max values: 37.936, median values: 0.2065, and quantile values: 0.25 0.059964\n0.50 0.206500\n0.75 1.009970\nName: 1872, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4107724604763523, std values: 4.920468869021248, min values: 3.4144e-07, max values: 40.702, median values: 0.18937, and quantile values: 0.25 0.054378\n0.50 0.189370\n0.75 0.820930\nName: 1873, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3111729425207546, std values: 4.515146649850308, min values: 1.6732e-06, max values: 38.415, median values: 0.18717, and quantile values: 0.25 0.052568\n0.50 0.187170\n0.75 0.757900\nName: 1874, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6401759975817611, std values: 5.1797839242090165, min values: 5.5874e-06, max values: 41.504, median values: 0.2646, and quantile values: 0.25 0.071277\n0.50 0.264600\n0.75 0.988195\nName: 1875, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.44983067598239, std values: 5.068709509639404, min values: 1.8538e-06, max values: 42.263, median values: 0.21317, and quantile values: 0.25 0.063032\n0.50 0.213170\n0.75 0.934185\nName: 1876, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6812142942666037, std values: 5.076809784983646, min values: 4.6219e-07, max values: 41.693, median values: 0.28449, and quantile values: 0.25 0.074982\n0.50 0.284490\n0.75 1.146750\nName: 1877, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.330851725735849, std values: 4.9458594320094855, min values: 3.3719e-06, max values: 40.717, median values: 0.17328, and quantile values: 0.25 0.049813\n0.50 0.173280\n0.75 0.620445\nName: 1878, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5474655031767297, std values: 5.0571865784071335, min values: 1.1118e-06, max values: 41.914, median values: 0.24039, and quantile values: 0.25 0.065545\n0.50 0.240390\n0.75 1.035795\nName: 1879, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5258747460597484, std values: 4.918841029718989, min values: 5.274e-06, max values: 41.2, median values: 0.24822, and quantile values: 0.25 0.07029\n0.50 0.24822\n0.75 0.91030\nName: 1880, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4207924104193081, std values: 4.655686905862198, min values: 3.8437e-07, max values: 37.693, median values: 0.22093, and quantile values: 0.25 0.061495\n0.50 0.220930\n0.75 0.912000\nName: 1881, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4274067087174214, std values: 4.689394370852214, min values: 3.6097e-07, max values: 37.291, median values: 0.23803, and quantile values: 0.25 0.063728\n0.50 0.238030\n0.75 0.840880\nName: 1882, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1983884062534589, std values: 4.550284080957011, min values: 1.7191e-06, max values: 39.028, median values: 0.15552, and quantile values: 0.25 0.050129\n0.50 0.155520\n0.75 0.609520\nName: 1883, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5949605348823903, std values: 4.837940990022843, min values: 2.0086e-06, max values: 38.665, median values: 0.27318, and quantile values: 0.25 0.076938\n0.50 0.273180\n0.75 1.076850\nName: 1884, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5910286648226417, std values: 5.014953232370667, min values: 6.259e-07, max values: 40.654, median values: 0.23901, and quantile values: 0.25 0.065852\n0.50 0.239010\n0.75 1.057250\nName: 1885, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4638245145106918, std values: 4.918874909027854, min values: 1.0783e-06, max values: 40.362, median values: 0.19774, and quantile values: 0.25 0.056448\n0.50 0.197740\n0.75 0.871225\nName: 1886, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4178189150050318, std values: 5.126674821482647, min values: 1.9621e-06, max values: 43.261, median values: 0.20211, and quantile values: 0.25 0.055984\n0.50 0.202110\n0.75 0.807080\nName: 1887, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6230975478559748, std values: 5.102276137823702, min values: 1.2091e-06, max values: 41.838, median values: 0.30162, and quantile values: 0.25 0.069488\n0.50 0.301620\n0.75 1.024115\nName: 1888, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4815817008811318, std values: 4.947238262696721, min values: 2.8259e-06, max values: 39.291, median values: 0.22032, and quantile values: 0.25 0.066441\n0.50 0.220320\n0.75 0.874650\nName: 1889, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.343685352427044, std values: 4.813381395025504, min values: 2.7947e-06, max values: 39.394, median values: 0.18834, and quantile values: 0.25 0.055408\n0.50 0.188340\n0.75 0.754440\nName: 1890, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6378491763163523, std values: 5.080981973433084, min values: 3.4537e-06, max values: 40.061, median values: 0.24708, and quantile values: 0.25 0.069224\n0.50 0.247080\n0.75 1.061320\nName: 1891, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5217344489378115, std values: 4.609853558272087, min values: 9.9612e-08, max values: 36.963, median values: 0.23704, and quantile values: 0.25 0.057774\n0.50 0.237040\n0.75 1.050150\nName: 1892, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4937033879345911, std values: 5.096800824091342, min values: 1.8368e-06, max values: 42.46, median values: 0.21681, and quantile values: 0.25 0.059529\n0.50 0.216810\n0.75 0.876925\nName: 1893, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4798896600672955, std values: 4.939834430063977, min values: 2.8025e-06, max values: 39.615, median values: 0.26644, and quantile values: 0.25 0.070806\n0.50 0.266440\n0.75 0.871295\nName: 1894, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5780065452911949, std values: 5.1690244645343455, min values: 1.4849e-06, max values: 43.573, median values: 0.22606, and quantile values: 0.25 0.072690\n0.50 0.226060\n0.75 0.998265\nName: 1895, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5620547221874215, std values: 5.02912355067891, min values: 2.8394e-06, max values: 40.097, median values: 0.28776, and quantile values: 0.25 0.064846\n0.50 0.287760\n0.75 1.020340\nName: 1896, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3458386862383647, std values: 4.711903772076738, min values: 1.7077e-06, max values: 38.362, median values: 0.18749, and quantile values: 0.25 0.053466\n0.50 0.187490\n0.75 0.711245\nName: 1897, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6614177938622638, std values: 5.045511139274918, min values: 1.192e-06, max values: 39.947, median values: 0.27423, and quantile values: 0.25 0.069634\n0.50 0.274230\n0.75 1.125150\nName: 1898, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6748975428044024, std values: 4.960364487938097, min values: 1.2031e-06, max values: 38.727, median values: 0.30751, and quantile values: 0.25 0.082942\n0.50 0.307510\n0.75 1.160350\nName: 1899, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4273637726630188, std values: 4.818873065743948, min values: 3.0232e-07, max values: 39.034, median values: 0.18522, and quantile values: 0.25 0.049906\n0.50 0.185220\n0.75 0.872575\nName: 1900, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.306869783726289, std values: 4.9595578632837976, min values: 3.3688e-07, max values: 43.029, median values: 0.17995, and quantile values: 0.25 0.053057\n0.50 0.179950\n0.75 0.660775\nName: 1901, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5804140453477986, std values: 4.922039982830119, min values: 2.1658e-06, max values: 38.93, median values: 0.26894, and quantile values: 0.25 0.074376\n0.50 0.268940\n0.75 1.015095\nName: 1902, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3471188298861636, std values: 4.74787200503464, min values: 2.2851e-06, max values: 38.591, median values: 0.17946, and quantile values: 0.25 0.052971\n0.50 0.179460\n0.75 0.741715\nName: 1903, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9182117765710693, std values: 5.727441814762986, min values: 2.8953e-06, max values: 50.753, median values: 0.32516, and quantile values: 0.25 0.093573\n0.50 0.325160\n0.75 1.354400\nName: 1904, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5248036607956854, std values: 4.9344645632391915, min values: 4.4314e-08, max values: 40.088, median values: 0.22694, and quantile values: 0.25 0.057039\n0.50 0.226940\n0.75 0.928285\nName: 1905, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3065825195074843, std values: 4.808836148540276, min values: 5.6724e-07, max values: 40.145, median values: 0.14398, and quantile values: 0.25 0.041765\n0.50 0.143980\n0.75 0.664095\nName: 1906, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.057946693667044, std values: 6.188550292332787, min values: 2.9906e-07, max values: 58.892, median values: 0.31217, and quantile values: 0.25 0.078728\n0.50 0.312170\n0.75 1.411250\nName: 1907, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4893595306108807, std values: 4.661721823198577, min values: 5.9973e-07, max values: 36.758, median values: 0.22541, and quantile values: 0.25 0.062195\n0.50 0.225410\n0.75 0.983110\nName: 1908, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6011309335499369, std values: 4.937314594658811, min values: 9.1784e-07, max values: 39.036, median values: 0.28562, and quantile values: 0.25 0.067231\n0.50 0.285620\n0.75 1.026300\nName: 1909, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.317630775774214, std values: 4.600332958228069, min values: 1.1069e-06, max values: 38.798, median values: 0.16883, and quantile values: 0.25 0.052291\n0.50 0.168830\n0.75 0.776960\nName: 1910, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6900334034719056, std values: 5.151994047732806, min values: 1.5773e-08, max values: 40.242, median values: 0.23715, and quantile values: 0.25 0.054276\n0.50 0.237150\n0.75 0.996770\nName: 1911, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6059168394930816, std values: 4.8922877793155575, min values: 1.1851e-06, max values: 38.499, median values: 0.24908, and quantile values: 0.25 0.07375\n0.50 0.24908\n0.75 1.03479\nName: 1912, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4570853885572326, std values: 4.873427171091439, min values: 1.4821e-06, max values: 38.826, median values: 0.23283, and quantile values: 0.25 0.066577\n0.50 0.232830\n0.75 0.940575\nName: 1913, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5594997306270442, std values: 4.954748564572597, min values: 2.7693e-06, max values: 39.597, median values: 0.24531, and quantile values: 0.25 0.071438\n0.50 0.245310\n0.75 0.934080\nName: 1914, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5208983824249058, std values: 5.149577525846348, min values: 5.3896e-07, max values: 45.175, median values: 0.23699, and quantile values: 0.25 0.06168\n0.50 0.23699\n0.75 0.87340\nName: 1915, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4615322157592012, std values: 4.877660243362721, min values: 1.9513e-08, max values: 39.726, median values: 0.20776, and quantile values: 0.25 0.052325\n0.50 0.207760\n0.75 0.938445\nName: 1916, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.350268448133019, std values: 4.850280236122293, min values: 6.9695e-07, max values: 39.482, median values: 0.18576, and quantile values: 0.25 0.052442\n0.50 0.185760\n0.75 0.784335\nName: 1917, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4622587449213835, std values: 4.719049814969394, min values: 1.6469e-06, max values: 38.682, median values: 0.21204, and quantile values: 0.25 0.064423\n0.50 0.212040\n0.75 0.895960\nName: 1918, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5420637151622643, std values: 5.104712499362298, min values: 4.0473e-06, max values: 40.768, median values: 0.22674, and quantile values: 0.25 0.061495\n0.50 0.226740\n0.75 0.909590\nName: 1919, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4144553497591195, std values: 5.108918542569873, min values: 1.708e-06, max values: 43.965, median values: 0.18099, and quantile values: 0.25 0.05583\n0.50 0.18099\n0.75 0.73964\nName: 1920, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2462295829347798, std values: 4.8612376903212065, min values: 7.0123e-07, max values: 39.947, median values: 0.12545, and quantile values: 0.25 0.046693\n0.50 0.125450\n0.75 0.605960\nName: 1921, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3551038455075473, std values: 4.785305973427027, min values: 3.0755e-06, max values: 40.796, median values: 0.20138, and quantile values: 0.25 0.058638\n0.50 0.201380\n0.75 0.710360\nName: 1922, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.600328415050566, std values: 4.926393239303878, min values: 4.3814e-07, max values: 39.144, median values: 0.25749, and quantile values: 0.25 0.064356\n0.50 0.257490\n0.75 1.044400\nName: 1923, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3948318269968554, std values: 4.781038254916469, min values: 2.9803e-06, max values: 40.944, median values: 0.21131, and quantile values: 0.25 0.058779\n0.50 0.211310\n0.75 0.770820\nName: 1924, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6595787648535913, std values: 5.115130022350878, min values: 2.7421e-08, max values: 43.185, median values: 0.27009, and quantile values: 0.25 0.074875\n0.50 0.270090\n0.75 1.150050\nName: 1925, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3287870970930817, std values: 4.826845744917798, min values: 6.259e-07, max values: 40.597, median values: 0.15724, and quantile values: 0.25 0.044341\n0.50 0.157240\n0.75 0.684780\nName: 1926, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8567772469415096, std values: 5.247617833186481, min values: 3.7877e-06, max values: 41.037, median values: 0.3362, and quantile values: 0.25 0.097017\n0.50 0.336200\n0.75 1.340600\nName: 1927, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.726952215615723, std values: 5.258356763795754, min values: 3.7201e-06, max values: 43.125, median values: 0.28866, and quantile values: 0.25 0.082416\n0.50 0.288660\n0.75 1.108750\nName: 1928, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.381436344066666, std values: 6.133277512544676, min values: 2.8511e-06, max values: 51.798, median values: 0.44971, and quantile values: 0.25 0.123675\n0.50 0.449710\n0.75 1.822300\nName: 1929, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.62061668985283, std values: 5.041570783788882, min values: 7.1393e-06, max values: 40.328, median values: 0.25503, and quantile values: 0.25 0.06880\n0.50 0.25503\n0.75 0.96922\nName: 1930, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3439518855498114, std values: 4.863485229501739, min values: 8.3332e-07, max values: 40.216, median values: 0.19237, and quantile values: 0.25 0.057453\n0.50 0.192370\n0.75 0.755040\nName: 1931, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7556075934279247, std values: 5.222479991364946, min values: 2.5284e-07, max values: 43.659, median values: 0.28745, and quantile values: 0.25 0.068998\n0.50 0.287450\n0.75 1.275700\nName: 1932, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4122024083981135, std values: 4.790857266318595, min values: 1.3295e-06, max values: 38.397, median values: 0.22854, and quantile values: 0.25 0.070109\n0.50 0.228540\n0.75 0.841985\nName: 1933, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4350867830433962, std values: 4.845125371630281, min values: 1.256e-06, max values: 39.279, median values: 0.23096, and quantile values: 0.25 0.059456\n0.50 0.230960\n0.75 0.816770\nName: 1934, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.370066055580503, std values: 4.8787765976116715, min values: 2.8014e-06, max values: 40.06, median values: 0.20548, and quantile values: 0.25 0.061186\n0.50 0.205480\n0.75 0.763040\nName: 1935, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6016775365389937, std values: 4.898123131257676, min values: 1.4877e-06, max values: 38.957, median values: 0.2702, and quantile values: 0.25 0.079514\n0.50 0.270200\n0.75 1.076250\nName: 1936, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5290315603313207, std values: 5.161390945320707, min values: 5.0118e-07, max values: 44.711, median values: 0.2195, and quantile values: 0.25 0.057895\n0.50 0.219500\n0.75 0.928090\nName: 1937, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4334991775993708, std values: 5.074891931236627, min values: 1.2796e-06, max values: 43.425, median values: 0.20223, and quantile values: 0.25 0.059645\n0.50 0.202230\n0.75 0.801515\nName: 1938, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5383434401093712, std values: 4.912135214328786, min values: 3.316e-08, max values: 40.453, median values: 0.19808, and quantile values: 0.25 0.044018\n0.50 0.198080\n0.75 1.013205\nName: 1939, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4951404371053456, std values: 4.850106244491646, min values: 8.5915e-07, max values: 38.625, median values: 0.23033, and quantile values: 0.25 0.064176\n0.50 0.230330\n0.75 0.948455\nName: 1940, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5473986090503145, std values: 4.841588511301321, min values: 1.6871e-06, max values: 38.602, median values: 0.22884, and quantile values: 0.25 0.06770\n0.50 0.22884\n0.75 0.93856\nName: 1941, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5188722900805034, std values: 5.229757180339376, min values: 2.2299e-06, max values: 43.969, median values: 0.19877, and quantile values: 0.25 0.065785\n0.50 0.198770\n0.75 0.958995\nName: 1942, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4384735042509686, std values: 4.9234375503696, min values: 2.8484e-08, max values: 41.528, median values: 0.19391, and quantile values: 0.25 0.042053\n0.50 0.193910\n0.75 0.833480\nName: 1943, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5620281441396227, std values: 4.748147693530485, min values: 3.1626e-06, max values: 39.208, median values: 0.26846, and quantile values: 0.25 0.080828\n0.50 0.268460\n0.75 1.018800\nName: 1944, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2555291820662264, std values: 4.801639956167534, min values: 1.9427e-07, max values: 40.101, median values: 0.15742, and quantile values: 0.25 0.037443\n0.50 0.157420\n0.75 0.620085\nName: 1945, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4499848292025157, std values: 4.643085136257529, min values: 1.0921e-06, max values: 37.183, median values: 0.21275, and quantile values: 0.25 0.060987\n0.50 0.212750\n0.75 0.889990\nName: 1946, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5741368493798742, std values: 5.133650772439784, min values: 3.2237e-06, max values: 42.036, median values: 0.27531, and quantile values: 0.25 0.075636\n0.50 0.275310\n0.75 0.948075\nName: 1947, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2467518530371071, std values: 4.8576224911168655, min values: 2.1385e-06, max values: 40.626, median values: 0.15258, and quantile values: 0.25 0.049022\n0.50 0.152580\n0.75 0.556390\nName: 1948, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7504830418949686, std values: 5.427155302559459, min values: 3.341e-06, max values: 46.521, median values: 0.28477, and quantile values: 0.25 0.088817\n0.50 0.284770\n0.75 1.134400\nName: 1949, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5151376112943395, std values: 4.886204676947489, min values: 2.4061e-06, max values: 39.537, median values: 0.22539, and quantile values: 0.25 0.071262\n0.50 0.225390\n0.75 0.941020\nName: 1950, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6110142092846542, std values: 5.045131795132613, min values: 7.5966e-07, max values: 41.141, median values: 0.28636, and quantile values: 0.25 0.07461\n0.50 0.28636\n0.75 1.05105\nName: 1951, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5188138717645283, std values: 4.768944307146951, min values: 3.474e-07, max values: 37.267, median values: 0.24094, and quantile values: 0.25 0.05684\n0.50 0.24094\n0.75 0.97098\nName: 1952, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5643837418276731, std values: 5.006778149095406, min values: 2.4332e-06, max values: 39.807, median values: 0.24641, and quantile values: 0.25 0.073301\n0.50 0.246410\n0.75 0.960200\nName: 1953, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.567515817922327, std values: 4.952559031260254, min values: 6.6885e-07, max values: 39.131, median values: 0.24594, and quantile values: 0.25 0.063614\n0.50 0.245940\n0.75 1.019650\nName: 1954, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3707803644955974, std values: 4.8200007096848285, min values: 6.773e-07, max values: 39.139, median values: 0.18149, and quantile values: 0.25 0.058104\n0.50 0.181490\n0.75 0.772265\nName: 1955, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5890846242605658, std values: 5.083721458179554, min values: 3.7663e-07, max values: 43.194, median values: 0.26059, and quantile values: 0.25 0.062613\n0.50 0.260590\n0.75 1.007350\nName: 1956, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5515287198330818, std values: 4.888867756191807, min values: 5.3646e-07, max values: 38.706, median values: 0.22101, and quantile values: 0.25 0.061427\n0.50 0.221010\n0.75 0.992245\nName: 1957, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3938436944497483, std values: 4.918351919804576, min values: 4.4821e-07, max values: 41.309, median values: 0.17571, and quantile values: 0.25 0.057330\n0.50 0.175710\n0.75 0.756935\nName: 1958, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4548667577389938, std values: 5.034891939251745, min values: 6.259e-07, max values: 41.069, median values: 0.19404, and quantile values: 0.25 0.056011\n0.50 0.194040\n0.75 0.860710\nName: 1959, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3687648424519938, std values: 4.668357476233325, min values: 2.6001e-08, max values: 37.192, median values: 0.17303, and quantile values: 0.25 0.03899\n0.50 0.17303\n0.75 0.77248\nName: 1960, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.487004295527044, std values: 4.974251286444127, min values: 1.9551e-06, max values: 40.064, median values: 0.22161, and quantile values: 0.25 0.063311\n0.50 0.221610\n0.75 0.885190\nName: 1961, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4896594439, std values: 5.053212800718452, min values: 4.0852e-06, max values: 41.016, median values: 0.22554, and quantile values: 0.25 0.065862\n0.50 0.225540\n0.75 0.834330\nName: 1962, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5938470352773586, std values: 5.178850438964113, min values: 3.2201e-06, max values: 41.393, median values: 0.27477, and quantile values: 0.25 0.065566\n0.50 0.274770\n0.75 1.023015\nName: 1963, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4467213412594337, std values: 4.9457039221493515, min values: 6.7045e-07, max values: 40.131, median values: 0.19213, and quantile values: 0.25 0.055687\n0.50 0.192130\n0.75 0.837540\nName: 1964, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.620769633552201, std values: 4.964641882099049, min values: 3.5549e-06, max values: 39.507, median values: 0.26922, and quantile values: 0.25 0.076739\n0.50 0.269220\n0.75 1.035650\nName: 1965, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4687049645698114, std values: 5.089567636067508, min values: 1.0557e-06, max values: 42.799, median values: 0.21133, and quantile values: 0.25 0.056126\n0.50 0.211330\n0.75 0.855090\nName: 1966, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4650858583949684, std values: 4.8272150599956865, min values: 1.9524e-06, max values: 39.877, median values: 0.22427, and quantile values: 0.25 0.066264\n0.50 0.224270\n0.75 0.875475\nName: 1967, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.501111211921258, std values: 4.869832196053182, min values: 6.3378e-07, max values: 38.521, median values: 0.24945, and quantile values: 0.25 0.063331\n0.50 0.249450\n0.75 0.968070\nName: 1968, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2621385629720063, std values: 4.518147817218227, min values: 1.6859e-08, max values: 36.188, median values: 0.15346, and quantile values: 0.25 0.04063\n0.50 0.15346\n0.75 0.64193\nName: 1969, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4903626153025156, std values: 4.993632533434287, min values: 1.8159e-06, max values: 40.552, median values: 0.24583, and quantile values: 0.25 0.065884\n0.50 0.245830\n0.75 0.894320\nName: 1970, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9168047739031446, std values: 5.592626148965837, min values: 8.7616e-06, max values: 44.49, median values: 0.31664, and quantile values: 0.25 0.092758\n0.50 0.316640\n0.75 1.164950\nName: 1971, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4888944952435847, std values: 4.828688390291079, min values: 4.0923e-07, max values: 38.728, median values: 0.21483, and quantile values: 0.25 0.06211\n0.50 0.21483\n0.75 0.88989\nName: 1972, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.869292670326415, std values: 5.2131951807868795, min values: 3.7521e-06, max values: 39.791, median values: 0.33048, and quantile values: 0.25 0.095208\n0.50 0.330480\n0.75 1.331700\nName: 1973, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5140630521045282, std values: 4.906849658223189, min values: 7.3752e-07, max values: 39.635, median values: 0.19186, and quantile values: 0.25 0.056131\n0.50 0.191860\n0.75 0.922920\nName: 1974, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.391515183500629, std values: 4.840036148597459, min values: 1.4841e-06, max values: 39.187, median values: 0.19735, and quantile values: 0.25 0.060194\n0.50 0.197350\n0.75 0.761985\nName: 1975, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3611191880823903, std values: 4.676106029420632, min values: 8.543e-07, max values: 38.537, median values: 0.18185, and quantile values: 0.25 0.057812\n0.50 0.181850\n0.75 0.764855\nName: 1976, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.777612627957862, std values: 5.334058972962719, min values: 2.1972e-06, max values: 44.781, median values: 0.32363, and quantile values: 0.25 0.088291\n0.50 0.323630\n0.75 1.232400\nName: 1977, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4909226202937107, std values: 5.243667153838041, min values: 1.7975e-06, max values: 45.023, median values: 0.2079, and quantile values: 0.25 0.058258\n0.50 0.207900\n0.75 0.916395\nName: 1978, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3101850628471698, std values: 4.884736787501602, min values: 1.0045e-06, max values: 39.934, median values: 0.17366, and quantile values: 0.25 0.054740\n0.50 0.173660\n0.75 0.689115\nName: 1979, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.391274306087799, std values: 4.834005968052976, min values: 1.0318e-07, max values: 40.146, median values: 0.18617, and quantile values: 0.25 0.042267\n0.50 0.186170\n0.75 0.715725\nName: 1980, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3249931238754717, std values: 4.782849848514081, min values: 1.0243e-07, max values: 39.785, median values: 0.18317, and quantile values: 0.25 0.039381\n0.50 0.183170\n0.75 0.694480\nName: 1981, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5494266016811948, std values: 4.957312625416482, min values: 7.5521e-07, max values: 40.568, median values: 0.18631, and quantile values: 0.25 0.061183\n0.50 0.186310\n0.75 0.947690\nName: 1982, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.519146135075912, std values: 4.72010769878836, min values: 5.6847e-07, max values: 37.28, median values: 0.22575, and quantile values: 0.25 0.060505\n0.50 0.225750\n0.75 0.956900\nName: 1983, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6418201509849057, std values: 5.093047862045603, min values: 2.773e-06, max values: 40.303, median values: 0.28175, and quantile values: 0.25 0.07332\n0.50 0.28175\n0.75 1.07194\nName: 1984, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4984521208520754, std values: 4.8831730935915845, min values: 7.4718e-07, max values: 38.787, median values: 0.2287, and quantile values: 0.25 0.056515\n0.50 0.228700\n0.75 0.950370\nName: 1985, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3389176942496854, std values: 4.918596591129261, min values: 1.6725e-06, max values: 40.132, median values: 0.1668, and quantile values: 0.25 0.050292\n0.50 0.166800\n0.75 0.662305\nName: 1986, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9679279554786162, std values: 5.62603685084131, min values: 4.2018e-06, max values: 46.784, median values: 0.34285, and quantile values: 0.25 0.098747\n0.50 0.342850\n0.75 1.376250\nName: 1987, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3809055179832705, std values: 4.650261907688822, min values: 8.7664e-07, max values: 37.747, median values: 0.22336, and quantile values: 0.25 0.064529\n0.50 0.223360\n0.75 0.835055\nName: 1988, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6469564191459116, std values: 4.882542385895187, min values: 5.4099e-06, max values: 39.807, median values: 0.26923, and quantile values: 0.25 0.091491\n0.50 0.269230\n0.75 0.992440\nName: 1989, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4328156822896225, std values: 4.728090442171287, min values: 5.0435e-07, max values: 37.064, median values: 0.18899, and quantile values: 0.25 0.052767\n0.50 0.188990\n0.75 0.910830\nName: 1990, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5728135920635848, std values: 4.783432270837727, min values: 6.6021e-07, max values: 37.587, median values: 0.21908, and quantile values: 0.25 0.064696\n0.50 0.219080\n0.75 1.015150\nName: 1991, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4606890705685538, std values: 5.2385776579954335, min values: 2.2172e-06, max values: 45.109, median values: 0.1753, and quantile values: 0.25 0.056456\n0.50 0.175300\n0.75 0.894190\nName: 1992, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4485947416616352, std values: 5.130984404182959, min values: 4.5649e-06, max values: 41.758, median values: 0.21683, and quantile values: 0.25 0.064299\n0.50 0.216830\n0.75 0.752625\nName: 1993, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5600117969509433, std values: 4.918337027826771, min values: 3.8572e-06, max values: 39.432, median values: 0.24085, and quantile values: 0.25 0.072281\n0.50 0.240850\n0.75 0.965235\nName: 1994, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5264042646874214, std values: 4.788560333178962, min values: 4.4216e-06, max values: 39.981, median values: 0.26053, and quantile values: 0.25 0.080291\n0.50 0.260530\n0.75 0.917655\nName: 1995, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8252398537220125, std values: 5.2151749349681005, min values: 2.6131e-06, max values: 41.52, median values: 0.34636, and quantile values: 0.25 0.085675\n0.50 0.346360\n0.75 1.344300\nName: 1996, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.56558493559478, std values: 4.883328197299909, min values: 3.9917e-07, max values: 38.61, median values: 0.24933, and quantile values: 0.25 0.069923\n0.50 0.249330\n0.75 0.940475\nName: 1997, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4642688619642767, std values: 4.845249462342173, min values: 3.7452e-07, max values: 38.659, median values: 0.2144, and quantile values: 0.25 0.051595\n0.50 0.214400\n0.75 0.914950\nName: 1998, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.766043098220126, std values: 5.251198903490162, min values: 4.7978e-06, max values: 41.344, median values: 0.31038, and quantile values: 0.25 0.085624\n0.50 0.310380\n0.75 1.108900\nName: 1999, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.654482187761006, std values: 5.050386899178121, min values: 3.5614e-06, max values: 40.723, median values: 0.28013, and quantile values: 0.25 0.085718\n0.50 0.280130\n0.75 1.052700\nName: 2000, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8043315977081764, std values: 4.99283182543692, min values: 4.8246e-06, max values: 39.664, median values: 0.32227, and quantile values: 0.25 0.094466\n0.50 0.322270\n0.75 1.234050\nName: 2001, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4454464986094337, std values: 4.846453593002027, min values: 2.1648e-06, max values: 39.274, median values: 0.23928, and quantile values: 0.25 0.059236\n0.50 0.239280\n0.75 0.846535\nName: 2002, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.248285519562893, std values: 4.503391596754477, min values: 2.0071e-06, max values: 39.161, median values: 0.17963, and quantile values: 0.25 0.05186\n0.50 0.17963\n0.75 0.65881\nName: 2003, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2142366737606292, std values: 4.872543965103321, min values: 5.9444e-07, max values: 40.694, median values: 0.15514, and quantile values: 0.25 0.045976\n0.50 0.155140\n0.75 0.637125\nName: 2004, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2918905569157233, std values: 4.9583578119360725, min values: 1.2069e-06, max values: 41.773, median values: 0.15883, and quantile values: 0.25 0.051629\n0.50 0.158830\n0.75 0.664530\nName: 2005, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5094827722928301, std values: 4.955836959586805, min values: 3.5106e-07, max values: 40.64, median values: 0.22913, and quantile values: 0.25 0.056098\n0.50 0.229130\n0.75 0.916505\nName: 2006, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.591142873293082, std values: 5.0385810296778, min values: 4.665e-07, max values: 41.261, median values: 0.25065, and quantile values: 0.25 0.063467\n0.50 0.250650\n0.75 1.020800\nName: 2007, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3779229174962264, std values: 4.936842541363857, min values: 2.3923e-06, max values: 39.605, median values: 0.20343, and quantile values: 0.25 0.06138\n0.50 0.20343\n0.75 0.79611\nName: 2008, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5037603705144653, std values: 4.901726396674807, min values: 1.881e-06, max values: 39.274, median values: 0.24913, and quantile values: 0.25 0.069370\n0.50 0.249130\n0.75 0.931595\nName: 2009, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5975725785132076, std values: 4.683271833964014, min values: 5.1e-06, max values: 38.53, median values: 0.27802, and quantile values: 0.25 0.098817\n0.50 0.278020\n0.75 0.982380\nName: 2010, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5010183608830188, std values: 4.764538645727006, min values: 2.9916e-06, max values: 39.826, median values: 0.27278, and quantile values: 0.25 0.072111\n0.50 0.272780\n0.75 0.927765\nName: 2011, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3626864296820125, std values: 4.642030458258527, min values: 7.2494e-07, max values: 38.367, median values: 0.20818, and quantile values: 0.25 0.060727\n0.50 0.208180\n0.75 0.808945\nName: 2012, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5848988644040252, std values: 5.047876556149014, min values: 4.5284e-07, max values: 42.279, median values: 0.24893, and quantile values: 0.25 0.065775\n0.50 0.248930\n0.75 0.974825\nName: 2013, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3216749953979874, std values: 4.85051141865549, min values: 9.5928e-07, max values: 39.594, median values: 0.1955, and quantile values: 0.25 0.055244\n0.50 0.195500\n0.75 0.707635\nName: 2014, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4751612416098114, std values: 4.7865670192240515, min values: 8.3876e-07, max values: 38.398, median values: 0.21708, and quantile values: 0.25 0.064607\n0.50 0.217080\n0.75 0.897360\nName: 2015, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3790113615031447, std values: 4.85906699096189, min values: 1.0588e-06, max values: 39.375, median values: 0.22899, and quantile values: 0.25 0.056872\n0.50 0.228990\n0.75 0.785120\nName: 2016, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5929203315280378, std values: 5.022892004396339, min values: 2.2538e-08, max values: 42.627, median values: 0.24528, and quantile values: 0.25 0.055186\n0.50 0.245280\n0.75 1.045550\nName: 2017, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.493596387461006, std values: 5.306529730473028, min values: 1.058e-06, max values: 47.097, median values: 0.21879, and quantile values: 0.25 0.062185\n0.50 0.218790\n0.75 0.791030\nName: 2018, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4015875814314467, std values: 4.956295009086877, min values: 1.4772e-06, max values: 41.048, median values: 0.20276, and quantile values: 0.25 0.059769\n0.50 0.202760\n0.75 0.800230\nName: 2019, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5709628764491195, std values: 4.94026237486875, min values: 8.5881e-07, max values: 39.893, median values: 0.24963, and quantile values: 0.25 0.067371\n0.50 0.249630\n0.75 1.070300\nName: 2020, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.406883155670346, std values: 4.631375162289889, min values: 2.5645e-08, max values: 37.357, median values: 0.20687, and quantile values: 0.25 0.048181\n0.50 0.206870\n0.75 0.849570\nName: 2021, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2132925571202013, std values: 4.741387316795309, min values: 1.4502e-08, max values: 39.446, median values: 0.12259, and quantile values: 0.25 0.030218\n0.50 0.122590\n0.75 0.616250\nName: 2022, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4297415228308803, std values: 4.762717977889419, min values: 5.0621e-07, max values: 37.779, median values: 0.19474, and quantile values: 0.25 0.055635\n0.50 0.194740\n0.75 0.776880\nName: 2023, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2620093678109119, std values: 4.373872204354405, min values: 2.0965e-08, max values: 36.219, median values: 0.16486, and quantile values: 0.25 0.041355\n0.50 0.164860\n0.75 0.664365\nName: 2024, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4001085540993083, std values: 4.773026535770711, min values: 2.0804e-07, max values: 38.47, median values: 0.17996, and quantile values: 0.25 0.039036\n0.50 0.179960\n0.75 0.714490\nName: 2025, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2811394069805344, std values: 4.811572473085376, min values: 2.0255e-08, max values: 40.945, median values: 0.14336, and quantile values: 0.25 0.039433\n0.50 0.143360\n0.75 0.623595\nName: 2026, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5678089294050317, std values: 4.7632531951595745, min values: 1.5465e-06, max values: 39.042, median values: 0.25053, and quantile values: 0.25 0.063997\n0.50 0.250530\n0.75 1.071500\nName: 2027, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.405870361371698, std values: 4.8164301112842605, min values: 1.1708e-06, max values: 38.828, median values: 0.2229, and quantile values: 0.25 0.062667\n0.50 0.222900\n0.75 0.824585\nName: 2028, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6162240258811322, std values: 5.17186902552853, min values: 3.6045e-06, max values: 41.98, median values: 0.27003, and quantile values: 0.25 0.073071\n0.50 0.270030\n0.75 1.008495\nName: 2029, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3178963348226416, std values: 4.856702483007618, min values: 1.9035e-06, max values: 39.258, median values: 0.17537, and quantile values: 0.25 0.048277\n0.50 0.175370\n0.75 0.724805\nName: 2030, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4673689825893084, std values: 5.094418566268066, min values: 1.1848e-06, max values: 42.561, median values: 0.19416, and quantile values: 0.25 0.059395\n0.50 0.194160\n0.75 0.901240\nName: 2031, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.81261545963522, std values: 5.042035836007393, min values: 4.6047e-06, max values: 39.315, median values: 0.32612, and quantile values: 0.25 0.105335\n0.50 0.326120\n0.75 1.210850\nName: 2032, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5687563083000002, std values: 4.732570585675208, min values: 1.9295e-06, max values: 39.313, median values: 0.25127, and quantile values: 0.25 0.073565\n0.50 0.251270\n0.75 1.102900\nName: 2033, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2863010751647799, std values: 4.900553931884266, min values: 1.147e-06, max values: 40.365, median values: 0.15447, and quantile values: 0.25 0.048937\n0.50 0.154470\n0.75 0.731860\nName: 2034, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.538558129145912, std values: 4.9397917047385205, min values: 1.3286e-06, max values: 39.743, median values: 0.22997, and quantile values: 0.25 0.074514\n0.50 0.229970\n0.75 0.984345\nName: 2035, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4433886906691824, std values: 4.949652090512553, min values: 1.806e-07, max values: 40.926, median values: 0.19101, and quantile values: 0.25 0.048993\n0.50 0.191010\n0.75 0.812845\nName: 2036, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2434607435647107, std values: 4.470131952118513, min values: 9.9319e-08, max values: 36.65, median values: 0.17665, and quantile values: 0.25 0.044095\n0.50 0.176650\n0.75 0.738600\nName: 2037, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7374483677509434, std values: 5.213437773219896, min values: 5.5019e-06, max values: 41.265, median values: 0.31905, and quantile values: 0.25 0.086569\n0.50 0.319050\n0.75 1.115000\nName: 2038, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2838621362220128, std values: 4.672091704407504, min values: 3.7892e-06, max values: 41.192, median values: 0.17167, and quantile values: 0.25 0.058650\n0.50 0.171670\n0.75 0.614135\nName: 2039, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3833782394404401, std values: 4.575030408014333, min values: 6.6573e-07, max values: 37.445, median values: 0.207, and quantile values: 0.25 0.061024\n0.50 0.207000\n0.75 0.852910\nName: 2040, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.48430055046283, std values: 4.872395107637551, min values: 5.1139e-07, max values: 39.385, median values: 0.20774, and quantile values: 0.25 0.061647\n0.50 0.207740\n0.75 0.940590\nName: 2041, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4045040837867924, std values: 4.693306635651608, min values: 1.2606e-06, max values: 38.522, median values: 0.19879, and quantile values: 0.25 0.058617\n0.50 0.198790\n0.75 0.850825\nName: 2042, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.405789641317843, std values: 4.9549184678740765, min values: 7.5507e-08, max values: 42.241, median values: 0.18027, and quantile values: 0.25 0.040389\n0.50 0.180270\n0.75 0.663035\nName: 2043, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8728201438031444, std values: 5.377982003985017, min values: 5.0281e-06, max values: 42.841, median values: 0.32143, and quantile values: 0.25 0.095558\n0.50 0.321430\n0.75 1.248200\nName: 2044, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3796027559028932, std values: 4.766179588897507, min values: 3.7536e-07, max values: 38.463, median values: 0.2036, and quantile values: 0.25 0.051745\n0.50 0.203600\n0.75 0.771990\nName: 2045, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6114491122957864, std values: 4.988751334306077, min values: 5.1783e-07, max values: 40.423, median values: 0.23678, and quantile values: 0.25 0.06935\n0.50 0.23678\n0.75 1.03985\nName: 2046, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5666373377742138, std values: 5.101166083521823, min values: 3.9393e-06, max values: 40.529, median values: 0.22946, and quantile values: 0.25 0.069582\n0.50 0.229460\n0.75 0.935220\nName: 2047, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4218944792748425, std values: 4.872742227739032, min values: 2.022e-06, max values: 39.586, median values: 0.24175, and quantile values: 0.25 0.057303\n0.50 0.241750\n0.75 0.845650\nName: 2048, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5389006240691825, std values: 5.003666352583307, min values: 3.9568e-06, max values: 40.614, median values: 0.23262, and quantile values: 0.25 0.066498\n0.50 0.232620\n0.75 0.921380\nName: 2049, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5722687585754718, std values: 5.055759668273361, min values: 1.4415e-06, max values: 40.965, median values: 0.23982, and quantile values: 0.25 0.068198\n0.50 0.239820\n0.75 0.893690\nName: 2050, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2837943779891823, std values: 4.485149756652867, min values: 8.8068e-07, max values: 38.051, median values: 0.20545, and quantile values: 0.25 0.067481\n0.50 0.205450\n0.75 0.719590\nName: 2051, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3238130542392452, std values: 4.779777421671232, min values: 1.3762e-07, max values: 39.721, median values: 0.18069, and quantile values: 0.25 0.048048\n0.50 0.180690\n0.75 0.726020\nName: 2052, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6899155721238996, std values: 5.111104843997593, min values: 2.7348e-06, max values: 40.439, median values: 0.2848, and quantile values: 0.25 0.082367\n0.50 0.284800\n0.75 1.105200\nName: 2053, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3705517495776098, std values: 4.656199986114613, min values: 5.4454e-07, max values: 38.579, median values: 0.2101, and quantile values: 0.25 0.056213\n0.50 0.210100\n0.75 0.838270\nName: 2054, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.380303188853585, std values: 4.884126987259904, min values: 3.7892e-07, max values: 40.545, median values: 0.17674, and quantile values: 0.25 0.051126\n0.50 0.176740\n0.75 0.755045\nName: 2055, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4589151360761006, std values: 4.7167485932030955, min values: 1.1198e-06, max values: 37.84, median values: 0.21989, and quantile values: 0.25 0.065598\n0.50 0.219890\n0.75 0.907590\nName: 2056, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5004485783226416, std values: 5.235275065359695, min values: 1.4933e-06, max values: 45.614, median values: 0.20717, and quantile values: 0.25 0.05907\n0.50 0.20717\n0.75 0.86688\nName: 2057, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1699359650213836, std values: 4.692796557450261, min values: 7.8e-07, max values: 39.021, median values: 0.13644, and quantile values: 0.25 0.041829\n0.50 0.136440\n0.75 0.614020\nName: 2058, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.454677630448176, std values: 4.6687917375508485, min values: 7.8766e-07, max values: 38.145, median values: 0.21189, and quantile values: 0.25 0.060827\n0.50 0.211890\n0.75 0.956810\nName: 2059, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.344876247496352, std values: 4.794235126154985, min values: 7.9492e-07, max values: 38.841, median values: 0.19289, and quantile values: 0.25 0.055442\n0.50 0.192890\n0.75 0.794905\nName: 2060, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4818242830031447, std values: 4.970912361483906, min values: 2.8188e-06, max values: 40.107, median values: 0.22795, and quantile values: 0.25 0.071377\n0.50 0.227950\n0.75 0.900450\nName: 2061, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4755563391415094, std values: 4.82312318486112, min values: 1.7381e-06, max values: 38.313, median values: 0.2293, and quantile values: 0.25 0.068791\n0.50 0.229300\n0.75 0.906705\nName: 2062, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6575047958949685, std values: 4.968912308021552, min values: 1.0372e-06, max values: 39.04, median values: 0.25473, and quantile values: 0.25 0.06957\n0.50 0.25473\n0.75 1.12415\nName: 2063, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.822373638498742, std values: 5.375406264368295, min values: 7.3013e-06, max values: 41.547, median values: 0.34162, and quantile values: 0.25 0.074102\n0.50 0.341620\n0.75 1.045800\nName: 2064, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4752439459937108, std values: 4.988023936221792, min values: 1.4835e-06, max values: 40.35, median values: 0.20659, and quantile values: 0.25 0.061374\n0.50 0.206590\n0.75 0.901235\nName: 2065, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6752641899251572, std values: 4.876440903181339, min values: 2.2221e-06, max values: 38.557, median values: 0.28498, and quantile values: 0.25 0.082889\n0.50 0.284980\n0.75 1.132200\nName: 2066, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.652556448473585, std values: 5.0826190573007555, min values: 4.0176e-06, max values: 39.641, median values: 0.26407, and quantile values: 0.25 0.076409\n0.50 0.264070\n0.75 1.003750\nName: 2067, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5986256169583648, std values: 5.033421541753587, min values: 3.5148e-07, max values: 41.63, median values: 0.24085, and quantile values: 0.25 0.070736\n0.50 0.240850\n0.75 1.063650\nName: 2068, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6328095006088048, std values: 5.164360840303488, min values: 1.9991e-06, max values: 42.779, median values: 0.24517, and quantile values: 0.25 0.072993\n0.50 0.245170\n0.75 1.054700\nName: 2069, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.759754382036038, std values: 5.220213440897794, min values: 8.9853e-07, max values: 43.848, median values: 0.31033, and quantile values: 0.25 0.091301\n0.50 0.310330\n0.75 1.305300\nName: 2070, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4918613609603775, std values: 5.059354467866196, min values: 1.5233e-06, max values: 41.828, median values: 0.23057, and quantile values: 0.25 0.06418\n0.50 0.23057\n0.75 0.90387\nName: 2071, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4880216674358493, std values: 4.627195476922429, min values: 1.8094e-06, max values: 39.124, median values: 0.2227, and quantile values: 0.25 0.063991\n0.50 0.222700\n0.75 0.943080\nName: 2072, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.307759133810503, std values: 4.648702296603966, min values: 9.6847e-07, max values: 38.554, median values: 0.16528, and quantile values: 0.25 0.050562\n0.50 0.165280\n0.75 0.729515\nName: 2073, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.520764213527673, std values: 5.066412592925241, min values: 1.9982e-06, max values: 41.489, median values: 0.23428, and quantile values: 0.25 0.061768\n0.50 0.234280\n0.75 0.868595\nName: 2074, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4455749885125786, std values: 4.88088716427593, min values: 2.6808e-06, max values: 39.773, median values: 0.22175, and quantile values: 0.25 0.066276\n0.50 0.221750\n0.75 0.798365\nName: 2075, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5381168613474843, std values: 4.826659038472534, min values: 5.0715e-07, max values: 38.04, median values: 0.24183, and quantile values: 0.25 0.064925\n0.50 0.241830\n0.75 1.044450\nName: 2076, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8516539503037732, std values: 5.320105839877707, min values: 4.2082e-06, max values: 41.602, median values: 0.31328, and quantile values: 0.25 0.088319\n0.50 0.313280\n0.75 1.277100\nName: 2077, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3375876707903145, std values: 4.743873008385968, min values: 5.7056e-07, max values: 38.281, median values: 0.18124, and quantile values: 0.25 0.057279\n0.50 0.181240\n0.75 0.757205\nName: 2078, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.511053104008176, std values: 4.9476726344401465, min values: 1.8876e-06, max values: 40.142, median values: 0.25653, and quantile values: 0.25 0.073541\n0.50 0.256530\n0.75 0.940590\nName: 2079, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2985021834681763, std values: 4.581087649864383, min values: 1.8205e-07, max values: 36.795, median values: 0.18177, and quantile values: 0.25 0.043100\n0.50 0.181770\n0.75 0.720935\nName: 2080, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7264062609698114, std values: 5.093999384214667, min values: 3.1441e-06, max values: 39.701, median values: 0.31794, and quantile values: 0.25 0.085906\n0.50 0.317940\n0.75 1.153050\nName: 2081, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.542922161854717, std values: 4.954980194151376, min values: 1.5669e-06, max values: 39.318, median values: 0.2513, and quantile values: 0.25 0.068609\n0.50 0.251300\n0.75 1.005200\nName: 2082, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5290479042031448, std values: 5.0001496141087625, min values: 2.7724e-06, max values: 39.783, median values: 0.24483, and quantile values: 0.25 0.063934\n0.50 0.244830\n0.75 0.965735\nName: 2083, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3767976286728303, std values: 4.574586425753513, min values: 1.7568e-07, max values: 37.692, median values: 0.19387, and quantile values: 0.25 0.055598\n0.50 0.193870\n0.75 0.831235\nName: 2084, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3165504391889937, std values: 4.673100406626622, min values: 2.2167e-07, max values: 37.125, median values: 0.19273, and quantile values: 0.25 0.045761\n0.50 0.192730\n0.75 0.679105\nName: 2085, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5989479939779874, std values: 4.8702941014267935, min values: 2.8516e-06, max values: 39.832, median values: 0.24121, and quantile values: 0.25 0.074175\n0.50 0.241210\n0.75 1.067500\nName: 2086, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6165855113559748, std values: 5.000338416019074, min values: 1.7285e-06, max values: 39.992, median values: 0.27198, and quantile values: 0.25 0.080128\n0.50 0.271980\n0.75 1.051600\nName: 2087, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.206591176144843, std values: 4.771626806672205, min values: 3.0943e-07, max values: 40.316, median values: 0.14626, and quantile values: 0.25 0.043258\n0.50 0.146260\n0.75 0.596575\nName: 2088, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6741642678050317, std values: 5.087297654404675, min values: 1.1805e-06, max values: 41.43, median values: 0.28522, and quantile values: 0.25 0.079204\n0.50 0.285220\n0.75 1.132550\nName: 2089, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3390280653586162, std values: 4.76056686282477, min values: 1.6061e-07, max values: 39.113, median values: 0.20192, and quantile values: 0.25 0.044227\n0.50 0.201920\n0.75 0.729615\nName: 2090, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.0854159057547172, std values: 6.204390089736486, min values: 6.259e-07, max values: 58.083, median values: 0.36582, and quantile values: 0.25 0.094756\n0.50 0.365820\n0.75 1.418700\nName: 2091, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3955929271685534, std values: 5.012638260676518, min values: 1.3345e-06, max values: 41.916, median values: 0.17509, and quantile values: 0.25 0.061732\n0.50 0.175090\n0.75 0.820695\nName: 2092, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.642703995350503, std values: 5.3246715787808, min values: 5.8083e-07, max values: 47.251, median values: 0.23737, and quantile values: 0.25 0.059407\n0.50 0.237370\n0.75 1.028725\nName: 2093, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5821347315427672, std values: 4.9328834838541855, min values: 1.0627e-06, max values: 38.722, median values: 0.24894, and quantile values: 0.25 0.066741\n0.50 0.248940\n0.75 1.053400\nName: 2094, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4602727411641512, std values: 4.915716886636922, min values: 1.9102e-06, max values: 38.887, median values: 0.2031, and quantile values: 0.25 0.063602\n0.50 0.203100\n0.75 0.856015\nName: 2095, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.241699585896755, std values: 4.478795538226384, min values: 3.6454e-08, max values: 36.654, median values: 0.13009, and quantile values: 0.25 0.040956\n0.50 0.130090\n0.75 0.666055\nName: 2096, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.30908670551, std values: 4.785325146361566, min values: 2.9356e-07, max values: 40.133, median values: 0.17738, and quantile values: 0.25 0.049092\n0.50 0.177380\n0.75 0.668675\nName: 2097, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.579400547444717, std values: 5.049953425205603, min values: 5.9471e-07, max values: 41.384, median values: 0.24712, and quantile values: 0.25 0.064617\n0.50 0.247120\n0.75 1.048650\nName: 2098, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5999385707408804, std values: 5.3368342203250005, min values: 3.6799e-06, max values: 44.856, median values: 0.2357, and quantile values: 0.25 0.072599\n0.50 0.235700\n0.75 0.933845\nName: 2099, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2935632956585537, std values: 4.7381253530586305, min values: 2.3731e-07, max values: 38.332, median values: 0.15712, and quantile values: 0.25 0.044997\n0.50 0.157120\n0.75 0.713995\nName: 2100, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2533750320465409, std values: 4.819985206359262, min values: 1.0167e-06, max values: 39.159, median values: 0.16857, and quantile values: 0.25 0.055082\n0.50 0.168570\n0.75 0.675920\nName: 2101, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2982582138708993, std values: 4.759545937912556, min values: 1.9393e-08, max values: 39.389, median values: 0.16436, and quantile values: 0.25 0.036686\n0.50 0.164360\n0.75 0.645880\nName: 2102, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.387041515804151, std values: 4.96893322783009, min values: 1.3216e-07, max values: 42.43, median values: 0.18081, and quantile values: 0.25 0.04654\n0.50 0.18081\n0.75 0.77142\nName: 2103, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4317840913811322, std values: 4.995067377497613, min values: 3.1573e-06, max values: 40.119, median values: 0.20033, and quantile values: 0.25 0.064782\n0.50 0.200330\n0.75 0.761225\nName: 2104, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4456294062315094, std values: 5.1844517642880374, min values: 2.3251e-07, max values: 46.723, median values: 0.19948, and quantile values: 0.25 0.058826\n0.50 0.199480\n0.75 0.865970\nName: 2105, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.193484083370063, std values: 4.77749762465072, min values: 6.8524e-07, max values: 38.89, median values: 0.13279, and quantile values: 0.25 0.042332\n0.50 0.132790\n0.75 0.614590\nName: 2106, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3331411051274213, std values: 5.04028926532228, min values: 8.6616e-07, max values: 43.708, median values: 0.1809, and quantile values: 0.25 0.057653\n0.50 0.180900\n0.75 0.687715\nName: 2107, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4162787225943396, std values: 4.804865908275558, min values: 1.2078e-06, max values: 38.259, median values: 0.21888, and quantile values: 0.25 0.057468\n0.50 0.218880\n0.75 0.809840\nName: 2108, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1981855407877355, std values: 4.48419457848389, min values: 4.2835e-07, max values: 37.604, median values: 0.15032, and quantile values: 0.25 0.045396\n0.50 0.150320\n0.75 0.646100\nName: 2109, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7690324633946293, std values: 5.189554271147754, min values: 1.2486e-08, max values: 43.341, median values: 0.20869, and quantile values: 0.25 0.059718\n0.50 0.208690\n0.75 1.143050\nName: 2110, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5009932695050314, std values: 4.929387784286122, min values: 2.7038e-06, max values: 38.982, median values: 0.24249, and quantile values: 0.25 0.074844\n0.50 0.242490\n0.75 0.896710\nName: 2111, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.49190953166239, std values: 5.055877316051426, min values: 4.3672e-07, max values: 43.235, median values: 0.22243, and quantile values: 0.25 0.053511\n0.50 0.222430\n0.75 0.883815\nName: 2112, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3146317575141508, std values: 4.658625860166948, min values: 9.9955e-07, max values: 38.081, median values: 0.19654, and quantile values: 0.25 0.059943\n0.50 0.196540\n0.75 0.734640\nName: 2113, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5289144068056604, std values: 4.872315187846766, min values: 1.8054e-06, max values: 39.439, median values: 0.28428, and quantile values: 0.25 0.072119\n0.50 0.284280\n0.75 0.979435\nName: 2114, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2217110284628931, std values: 4.491080169117076, min values: 1.3382e-06, max values: 39.303, median values: 0.16958, and quantile values: 0.25 0.050535\n0.50 0.169580\n0.75 0.687710\nName: 2115, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3377815597269183, std values: 5.051124199593427, min values: 4.2428e-07, max values: 44.172, median values: 0.14672, and quantile values: 0.25 0.053484\n0.50 0.146720\n0.75 0.683990\nName: 2116, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6137071729024528, std values: 4.793618820056806, min values: 5.5329e-07, max values: 36.602, median values: 0.25418, and quantile values: 0.25 0.063745\n0.50 0.254180\n0.75 1.055000\nName: 2117, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.332590955520755, std values: 4.651557222083375, min values: 9.775e-07, max values: 38.415, median values: 0.19194, and quantile values: 0.25 0.052295\n0.50 0.191940\n0.75 0.730240\nName: 2118, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8235149474100627, std values: 5.288109899051437, min values: 7.4812e-06, max values: 42.088, median values: 0.30483, and quantile values: 0.25 0.083923\n0.50 0.304830\n0.75 1.165050\nName: 2119, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5610722313515724, std values: 5.046312947252201, min values: 2.5925e-06, max values: 40.459, median values: 0.24294, and quantile values: 0.25 0.073608\n0.50 0.242940\n0.75 0.976920\nName: 2120, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4360459879943397, std values: 4.998941358430846, min values: 1.6767e-06, max values: 40.814, median values: 0.2093, and quantile values: 0.25 0.053612\n0.50 0.209300\n0.75 0.849500\nName: 2121, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3656850229795345, std values: 4.746537036529171, min values: 3.0746e-08, max values: 38.441, median values: 0.19, and quantile values: 0.25 0.049953\n0.50 0.190000\n0.75 0.737260\nName: 2122, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6322484468634593, std values: 4.969609751857175, min values: 8.4059e-07, max values: 39.11, median values: 0.28618, and quantile values: 0.25 0.079979\n0.50 0.286180\n0.75 1.155050\nName: 2123, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.46188639362022, std values: 4.886886958050258, min values: 2.9478e-08, max values: 41.388, median values: 0.21971, and quantile values: 0.25 0.050835\n0.50 0.219710\n0.75 0.837210\nName: 2124, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.43879783451761, std values: 4.913188834671642, min values: 1.1408e-06, max values: 40.176, median values: 0.22822, and quantile values: 0.25 0.069536\n0.50 0.228220\n0.75 0.814875\nName: 2125, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4378486108374844, std values: 4.920591317210971, min values: 7.5176e-07, max values: 39.45, median values: 0.2191, and quantile values: 0.25 0.053948\n0.50 0.219100\n0.75 0.801830\nName: 2126, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.170141203933547, std values: 4.506577669596469, min values: 3.8949e-08, max values: 36.409, median values: 0.11018, and quantile values: 0.25 0.027160\n0.50 0.110180\n0.75 0.544925\nName: 2127, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5798456986301888, std values: 5.224801629671595, min values: 5.6428e-06, max values: 42.132, median values: 0.25766, and quantile values: 0.25 0.076205\n0.50 0.257660\n0.75 0.855660\nName: 2128, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.590851354379245, std values: 4.921652675311935, min values: 1.2338e-06, max values: 38.507, median values: 0.27253, and quantile values: 0.25 0.061989\n0.50 0.272530\n0.75 1.080350\nName: 2129, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4088297423003648, std values: 4.771549756110502, min values: 3.3398e-08, max values: 38.583, median values: 0.18987, and quantile values: 0.25 0.048217\n0.50 0.189870\n0.75 0.831095\nName: 2130, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4946949467053459, std values: 4.971507158620234, min values: 5.3885e-07, max values: 41.172, median values: 0.22892, and quantile values: 0.25 0.058528\n0.50 0.228920\n0.75 0.867550\nName: 2131, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5650899243855345, std values: 5.051885604434292, min values: 1.9794e-06, max values: 40.957, median values: 0.27786, and quantile values: 0.25 0.076815\n0.50 0.277860\n0.75 0.938420\nName: 2132, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4591008288320757, std values: 4.675598324535373, min values: 3.515e-07, max values: 37.543, median values: 0.20703, and quantile values: 0.25 0.052841\n0.50 0.207030\n0.75 0.884485\nName: 2133, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4915915873691827, std values: 4.820893601050226, min values: 1.2844e-06, max values: 38.411, median values: 0.22993, and quantile values: 0.25 0.067823\n0.50 0.229930\n0.75 0.939710\nName: 2134, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3812411165562892, std values: 4.796495447831852, min values: 2.402e-07, max values: 39.168, median values: 0.17971, and quantile values: 0.25 0.050519\n0.50 0.179710\n0.75 0.776260\nName: 2135, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.316860229246767, std values: 4.6245949429649515, min values: 2.0066e-08, max values: 36.804, median values: 0.16628, and quantile values: 0.25 0.046213\n0.50 0.166280\n0.75 0.761210\nName: 2136, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7264323686515721, std values: 5.070320358361687, min values: 1.4973e-06, max values: 39.638, median values: 0.27642, and quantile values: 0.25 0.080036\n0.50 0.276420\n0.75 1.241100\nName: 2137, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6722940331893081, std values: 5.232454372966707, min values: 3.3798e-06, max values: 42.568, median values: 0.2655, and quantile values: 0.25 0.079689\n0.50 0.265500\n0.75 1.055900\nName: 2138, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2220183037372327, std values: 4.747443024883855, min values: 7.0422e-07, max values: 39.021, median values: 0.15786, and quantile values: 0.25 0.046245\n0.50 0.157860\n0.75 0.659070\nName: 2139, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4643585154421384, std values: 5.02108584218237, min values: 1.4971e-06, max values: 41.697, median values: 0.20107, and quantile values: 0.25 0.067256\n0.50 0.201070\n0.75 0.835590\nName: 2140, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6066218746120755, std values: 4.753833252308157, min values: 5.8282e-07, max values: 36.846, median values: 0.24328, and quantile values: 0.25 0.059791\n0.50 0.243280\n0.75 0.995355\nName: 2141, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.552825780160503, std values: 4.90937065166695, min values: 8.6472e-07, max values: 39.278, median values: 0.24028, and quantile values: 0.25 0.063334\n0.50 0.240280\n0.75 0.996865\nName: 2142, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5426009114486163, std values: 4.70660351458763, min values: 3.2373e-07, max values: 37.775, median values: 0.26117, and quantile values: 0.25 0.062909\n0.50 0.261170\n0.75 1.074150\nName: 2143, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6385656842194969, std values: 5.276350800804524, min values: 3.5745e-06, max values: 43.325, median values: 0.25898, and quantile values: 0.25 0.07192\n0.50 0.25898\n0.75 0.99077\nName: 2144, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5687222003301888, std values: 5.263588254256384, min values: 2.7962e-06, max values: 44.601, median values: 0.24666, and quantile values: 0.25 0.068264\n0.50 0.246660\n0.75 0.967690\nName: 2145, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7374483950371067, std values: 5.483988264942653, min values: 4.6465e-06, max values: 46.452, median values: 0.28126, and quantile values: 0.25 0.078585\n0.50 0.281260\n0.75 1.081380\nName: 2146, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3874553785232702, std values: 4.962000800260147, min values: 2.5522e-06, max values: 39.985, median values: 0.18808, and quantile values: 0.25 0.053683\n0.50 0.188080\n0.75 0.822455\nName: 2147, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5720994029842768, std values: 4.931657597100649, min values: 1.0112e-06, max values: 39.44, median values: 0.24136, and quantile values: 0.25 0.07329\n0.50 0.24136\n0.75 1.05290\nName: 2148, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4135831563642138, std values: 5.227314736980676, min values: 5.7201e-07, max values: 46.149, median values: 0.16816, and quantile values: 0.25 0.047692\n0.50 0.168160\n0.75 0.750870\nName: 2149, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3695753597144653, std values: 4.784745002682737, min values: 2.6644e-06, max values: 40.213, median values: 0.18807, and quantile values: 0.25 0.05676\n0.50 0.18807\n0.75 0.74283\nName: 2150, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5115512352728304, std values: 4.861984314968376, min values: 6.6953e-07, max values: 36.89, median values: 0.19296, and quantile values: 0.25 0.053929\n0.50 0.192960\n0.75 0.792585\nName: 2151, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.440092651020126, std values: 4.830300399593721, min values: 1.073e-06, max values: 38.541, median values: 0.20603, and quantile values: 0.25 0.066546\n0.50 0.206030\n0.75 0.812675\nName: 2152, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5217936092013207, std values: 4.9091736668147385, min values: 5.6231e-07, max values: 39.48, median values: 0.21914, and quantile values: 0.25 0.05515\n0.50 0.21914\n0.75 0.96009\nName: 2153, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.502788232672956, std values: 4.879882919058616, min values: 1.769e-07, max values: 39.785, median values: 0.25419, and quantile values: 0.25 0.062548\n0.50 0.254190\n0.75 0.933535\nName: 2154, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.436862929227107, std values: 4.74623060000521, min values: 7.2441e-07, max values: 37.452, median values: 0.19729, and quantile values: 0.25 0.057643\n0.50 0.197290\n0.75 0.878435\nName: 2155, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4848575595489306, std values: 4.753792127581251, min values: 7.9988e-07, max values: 38.051, median values: 0.23985, and quantile values: 0.25 0.066344\n0.50 0.239850\n0.75 0.910655\nName: 2156, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6971213024003773, std values: 5.255695147011418, min values: 6.6946e-07, max values: 44.141, median values: 0.26444, and quantile values: 0.25 0.071759\n0.50 0.264440\n0.75 1.116200\nName: 2157, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4065111202514968, std values: 4.831806370594191, min values: 2.6108e-08, max values: 40.517, median values: 0.20526, and quantile values: 0.25 0.044617\n0.50 0.205260\n0.75 0.783580\nName: 2158, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.447245374337107, std values: 5.0097601263415905, min values: 1.1901e-06, max values: 41.402, median values: 0.20707, and quantile values: 0.25 0.060975\n0.50 0.207070\n0.75 0.780340\nName: 2159, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.503654130284088, std values: 4.778088713412307, min values: 4.5397e-07, max values: 38.504, median values: 0.222, and quantile values: 0.25 0.062679\n0.50 0.222000\n0.75 0.958815\nName: 2160, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2938000230181133, std values: 4.7711424985966655, min values: 2.4399e-07, max values: 39.348, median values: 0.18774, and quantile values: 0.25 0.046992\n0.50 0.187740\n0.75 0.685400\nName: 2161, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.539006227547799, std values: 4.83626088987256, min values: 4.7843e-06, max values: 40.678, median values: 0.24645, and quantile values: 0.25 0.070039\n0.50 0.246450\n0.75 0.951105\nName: 2162, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4431832365706039, std values: 4.952955300276604, min values: 2.8016e-08, max values: 42.308, median values: 0.2125, and quantile values: 0.25 0.044232\n0.50 0.212500\n0.75 0.831075\nName: 2163, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5550965268591197, std values: 5.135602030537035, min values: 1.1186e-06, max values: 43.937, median values: 0.2616, and quantile values: 0.25 0.081074\n0.50 0.261600\n0.75 0.947930\nName: 2164, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4979427358656605, std values: 4.80797057614686, min values: 1.6224e-07, max values: 38.592, median values: 0.26095, and quantile values: 0.25 0.059915\n0.50 0.260950\n0.75 0.954730\nName: 2165, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6552228689037738, std values: 5.098477320534269, min values: 2.5973e-06, max values: 40.499, median values: 0.28363, and quantile values: 0.25 0.070814\n0.50 0.283630\n0.75 1.112200\nName: 2166, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3909825056588174, std values: 4.866035033117347, min values: 1.5932e-08, max values: 40.487, median values: 0.15632, and quantile values: 0.25 0.045623\n0.50 0.156320\n0.75 0.773115\nName: 2167, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7737494907182385, std values: 5.204390709336271, min values: 4.8571e-06, max values: 40.622, median values: 0.30477, and quantile values: 0.25 0.088879\n0.50 0.304770\n0.75 1.195650\nName: 2168, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4494173391897485, std values: 4.660235352938175, min values: 4.5207e-07, max values: 37.809, median values: 0.22592, and quantile values: 0.25 0.057088\n0.50 0.225920\n0.75 0.950530\nName: 2169, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.385862172374025, std values: 5.006343047815931, min values: 3.8737e-07, max values: 43.376, median values: 0.21204, and quantile values: 0.25 0.052324\n0.50 0.212040\n0.75 0.717265\nName: 2170, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4723008152315096, std values: 4.753141490607746, min values: 6.5051e-07, max values: 38.11, median values: 0.24279, and quantile values: 0.25 0.058224\n0.50 0.242790\n0.75 0.880125\nName: 2171, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.335078038337107, std values: 4.490937028739437, min values: 2.2503e-06, max values: 38.557, median values: 0.21153, and quantile values: 0.25 0.067147\n0.50 0.211530\n0.75 0.795990\nName: 2172, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3581417043710693, std values: 5.123088967483051, min values: 2.6898e-06, max values: 42.551, median values: 0.16971, and quantile values: 0.25 0.058611\n0.50 0.169710\n0.75 0.682040\nName: 2173, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.782795904036478, std values: 5.088258079289305, min values: 3.447e-06, max values: 39.377, median values: 0.34119, and quantile values: 0.25 0.081845\n0.50 0.341190\n0.75 1.229350\nName: 2174, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.377351129960629, std values: 4.711134831107443, min values: 7.0334e-07, max values: 37.325, median values: 0.19387, and quantile values: 0.25 0.061979\n0.50 0.193870\n0.75 0.801510\nName: 2175, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5759234639842767, std values: 5.062603223098785, min values: 3.7115e-06, max values: 40.974, median values: 0.24996, and quantile values: 0.25 0.070634\n0.50 0.249960\n0.75 0.983825\nName: 2176, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5087963452773836, std values: 4.754154747514602, min values: 2.8524e-08, max values: 37.366, median values: 0.2454, and quantile values: 0.25 0.056837\n0.50 0.245400\n0.75 1.000785\nName: 2177, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5583772229597486, std values: 4.843596139297998, min values: 1.3319e-06, max values: 38.607, median values: 0.25582, and quantile values: 0.25 0.070542\n0.50 0.255820\n0.75 1.006265\nName: 2178, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5657125528522013, std values: 5.015347359615682, min values: 1.8266e-06, max values: 40.827, median values: 0.25233, and quantile values: 0.25 0.075363\n0.50 0.252330\n0.75 0.982095\nName: 2179, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.530164512673585, std values: 4.9180930233853415, min values: 1.9251e-06, max values: 39.305, median values: 0.23341, and quantile values: 0.25 0.067670\n0.50 0.233410\n0.75 0.972515\nName: 2180, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6050723782584908, std values: 5.065622032886017, min values: 1.1245e-06, max values: 41.581, median values: 0.24267, and quantile values: 0.25 0.07319\n0.50 0.24267\n0.75 1.02190\nName: 2181, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.44621442011761, std values: 4.699530428771312, min values: 1.464e-06, max values: 38.417, median values: 0.21639, and quantile values: 0.25 0.072918\n0.50 0.216390\n0.75 0.912140\nName: 2182, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4538355481974403, std values: 5.102188851874004, min values: 4.9293e-08, max values: 44.689, median values: 0.18332, and quantile values: 0.25 0.054151\n0.50 0.183320\n0.75 0.821820\nName: 2183, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3545956642010062, std values: 4.789479935157463, min values: 2.366e-07, max values: 40.022, median values: 0.1831, and quantile values: 0.25 0.050432\n0.50 0.183100\n0.75 0.673865\nName: 2184, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9147520413666668, std values: 6.018726550976473, min values: 5.5663e-06, max values: 52.628, median values: 0.30744, and quantile values: 0.25 0.078498\n0.50 0.307440\n0.75 1.051850\nName: 2185, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5481022046496857, std values: 5.112894957405291, min values: 1.6883e-06, max values: 42.301, median values: 0.21881, and quantile values: 0.25 0.070157\n0.50 0.218810\n0.75 0.953685\nName: 2186, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6297794079025156, std values: 5.098762150919997, min values: 5.5172e-06, max values: 40.49, median values: 0.29446, and quantile values: 0.25 0.084346\n0.50 0.294460\n0.75 0.961885\nName: 2187, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.253664045214302, std values: 4.472901842530349, min values: 1.0974e-08, max values: 35.808, median values: 0.14721, and quantile values: 0.25 0.033290\n0.50 0.147210\n0.75 0.606785\nName: 2188, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4516284130449055, std values: 4.867471303352851, min values: 6.1584e-07, max values: 39.724, median values: 0.22303, and quantile values: 0.25 0.067238\n0.50 0.223030\n0.75 0.873330\nName: 2189, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.361419043320755, std values: 4.702923906192088, min values: 3.4163e-06, max values: 40.018, median values: 0.19994, and quantile values: 0.25 0.068767\n0.50 0.199940\n0.75 0.766485\nName: 2190, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2798727011755977, std values: 4.719690337803888, min values: 7.0792e-07, max values: 37.898, median values: 0.18132, and quantile values: 0.25 0.05178\n0.50 0.18132\n0.75 0.74805\nName: 2191, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.288634987207547, std values: 4.876713536806849, min values: 1.5905e-06, max values: 39.333, median values: 0.16816, and quantile values: 0.25 0.049418\n0.50 0.168160\n0.75 0.687920\nName: 2192, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.268436935835849, std values: 4.725930212609132, min values: 4.4352e-06, max values: 41.056, median values: 0.15857, and quantile values: 0.25 0.051165\n0.50 0.158570\n0.75 0.573580\nName: 2193, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5851962198251575, std values: 5.131488669499127, min values: 1.1578e-06, max values: 42.938, median values: 0.25234, and quantile values: 0.25 0.058588\n0.50 0.252340\n0.75 0.934440\nName: 2194, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8008570296503144, std values: 5.036526434264975, min values: 2.4817e-06, max values: 39.305, median values: 0.30685, and quantile values: 0.25 0.09774\n0.50 0.30685\n0.75 1.21575\nName: 2195, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7428705663197481, std values: 4.979494591710949, min values: 3.8294e-07, max values: 38.623, median values: 0.32511, and quantile values: 0.25 0.075356\n0.50 0.325110\n0.75 1.250100\nName: 2196, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2173348792719685, std values: 4.635385729877391, min values: 7.0233e-08, max values: 37.849, median values: 0.17233, and quantile values: 0.25 0.03928\n0.50 0.17233\n0.75 0.63454\nName: 2197, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4453586763062891, std values: 4.950545690890309, min values: 4.2073e-06, max values: 40.143, median values: 0.21793, and quantile values: 0.25 0.070792\n0.50 0.217930\n0.75 0.789545\nName: 2198, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.218364237194346, std values: 4.570774737973228, min values: 2.2601e-08, max values: 37.71, median values: 0.16151, and quantile values: 0.25 0.044872\n0.50 0.161510\n0.75 0.670300\nName: 2199, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4716421155333335, std values: 4.898897918592247, min values: 2.7793e-06, max values: 40.121, median values: 0.24773, and quantile values: 0.25 0.067806\n0.50 0.247730\n0.75 0.871870\nName: 2200, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4560918007207548, std values: 4.841978523329461, min values: 2.304e-07, max values: 38.694, median values: 0.20232, and quantile values: 0.25 0.051384\n0.50 0.202320\n0.75 0.849535\nName: 2201, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8180794752289307, std values: 5.426519133274781, min values: 7.2114e-06, max values: 43.676, median values: 0.29997, and quantile values: 0.25 0.092412\n0.50 0.299970\n0.75 1.094650\nName: 2202, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6805327894333333, std values: 4.972379793874008, min values: 1.1472e-06, max values: 39.138, median values: 0.29141, and quantile values: 0.25 0.073619\n0.50 0.291410\n0.75 1.174800\nName: 2203, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7313741418150312, std values: 5.170625507379214, min values: 5.8049e-07, max values: 42.447, median values: 0.27041, and quantile values: 0.25 0.069579\n0.50 0.270410\n0.75 1.242750\nName: 2204, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4434661636998114, std values: 4.866339954115469, min values: 5.7627e-07, max values: 39.724, median values: 0.24624, and quantile values: 0.25 0.058068\n0.50 0.246240\n0.75 0.863405\nName: 2205, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6007117913735847, std values: 5.186624619782007, min values: 1.6455e-06, max values: 42.893, median values: 0.21589, and quantile values: 0.25 0.067332\n0.50 0.215890\n0.75 1.036260\nName: 2206, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.809019438044025, std values: 5.182698953833838, min values: 4.8058e-06, max values: 40.258, median values: 0.34754, and quantile values: 0.25 0.091167\n0.50 0.347540\n0.75 1.263050\nName: 2207, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7184873585540879, std values: 5.023019250813593, min values: 3.6089e-06, max values: 39.476, median values: 0.29059, and quantile values: 0.25 0.079083\n0.50 0.290590\n0.75 1.187450\nName: 2208, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5765956386786164, std values: 5.062054902694717, min values: 7.6039e-06, max values: 41.326, median values: 0.24432, and quantile values: 0.25 0.069708\n0.50 0.244320\n0.75 0.955640\nName: 2209, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4670650572314463, std values: 4.8726349610285835, min values: 1.1945e-06, max values: 39.35, median values: 0.21121, and quantile values: 0.25 0.063202\n0.50 0.211210\n0.75 0.933400\nName: 2210, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5175643275201258, std values: 4.921636631162663, min values: 1.9158e-06, max values: 39.148, median values: 0.22894, and quantile values: 0.25 0.066292\n0.50 0.228940\n0.75 0.970125\nName: 2211, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3725445039588364, std values: 4.904979606730623, min values: 1.9475e-08, max values: 41.015, median values: 0.16557, and quantile values: 0.25 0.048865\n0.50 0.165570\n0.75 0.720515\nName: 2212, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3469962373769182, std values: 4.822140648185795, min values: 2.9333e-07, max values: 39.844, median values: 0.193, and quantile values: 0.25 0.049753\n0.50 0.193000\n0.75 0.770030\nName: 2213, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4474704716672955, std values: 4.845779059474858, min values: 2.3822e-06, max values: 40.106, median values: 0.21253, and quantile values: 0.25 0.062260\n0.50 0.212530\n0.75 0.863775\nName: 2214, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.513872201881761, std values: 5.178849526333532, min values: 2.238e-06, max values: 43.199, median values: 0.24052, and quantile values: 0.25 0.063777\n0.50 0.240520\n0.75 0.880585\nName: 2215, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3569329340179246, std values: 4.796364654156404, min values: 9.6185e-07, max values: 38.692, median values: 0.1608, and quantile values: 0.25 0.05061\n0.50 0.16080\n0.75 0.76816\nName: 2216, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.289167628574214, std values: 4.73203356101641, min values: 2.4093e-06, max values: 39.706, median values: 0.16622, and quantile values: 0.25 0.057583\n0.50 0.166220\n0.75 0.604605\nName: 2217, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4077984373427674, std values: 4.864558383687255, min values: 2.1203e-06, max values: 39.071, median values: 0.22034, and quantile values: 0.25 0.067553\n0.50 0.220340\n0.75 0.709290\nName: 2218, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.52875420640566, std values: 4.884111125556158, min values: 3.9851e-06, max values: 39.943, median values: 0.23656, and quantile values: 0.25 0.077196\n0.50 0.236560\n0.75 0.942120\nName: 2219, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3022272394496857, std values: 4.6793741158552535, min values: 2.1875e-06, max values: 39.069, median values: 0.17701, and quantile values: 0.25 0.046827\n0.50 0.177010\n0.75 0.751115\nName: 2220, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5929014633943395, std values: 4.9317369235420125, min values: 1.1513e-06, max values: 39.312, median values: 0.25522, and quantile values: 0.25 0.068659\n0.50 0.255220\n0.75 1.082050\nName: 2221, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5485373124534592, std values: 4.874668822544446, min values: 1.7589e-06, max values: 38.716, median values: 0.2587, and quantile values: 0.25 0.071851\n0.50 0.258700\n0.75 0.961220\nName: 2222, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7013961915345914, std values: 5.136290727643875, min values: 2.899e-06, max values: 40.615, median values: 0.29713, and quantile values: 0.25 0.077745\n0.50 0.297130\n0.75 1.117450\nName: 2223, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6177129523477987, std values: 5.218550871534869, min values: 1.974e-06, max values: 43.272, median values: 0.254, and quantile values: 0.25 0.07039\n0.50 0.25400\n0.75 1.02685\nName: 2224, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5528391781437736, std values: 5.159346886348998, min values: 9.7546e-07, max values: 43.905, median values: 0.25248, and quantile values: 0.25 0.06405\n0.50 0.25248\n0.75 0.96355\nName: 2225, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.477978101658415, std values: 4.746677636525351, min values: 6.3688e-08, max values: 37.44, median values: 0.22611, and quantile values: 0.25 0.056296\n0.50 0.226110\n0.75 0.904810\nName: 2226, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.956115746001258, std values: 5.290686819210633, min values: 5.4012e-06, max values: 40.386, median values: 0.3612, and quantile values: 0.25 0.095012\n0.50 0.361200\n0.75 1.348600\nName: 2227, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5030268412150316, std values: 4.662159229060202, min values: 2.3429e-07, max values: 36.982, median values: 0.2227, and quantile values: 0.25 0.059265\n0.50 0.222700\n0.75 0.916355\nName: 2228, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3868684282270443, std values: 4.769756208766505, min values: 2.1305e-06, max values: 39.497, median values: 0.21639, and quantile values: 0.25 0.055851\n0.50 0.216390\n0.75 0.832625\nName: 2229, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4650970896800752, std values: 4.715440730712256, min values: 1.6592e-08, max values: 36.804, median values: 0.17498, and quantile values: 0.25 0.043525\n0.50 0.174980\n0.75 0.865750\nName: 2230, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2598623558490567, std values: 5.000797932636531, min values: 1.1804e-06, max values: 42.036, median values: 0.15085, and quantile values: 0.25 0.045073\n0.50 0.150850\n0.75 0.601080\nName: 2231, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4884412933540883, std values: 4.884841527613923, min values: 1.6644e-06, max values: 39.212, median values: 0.24349, and quantile values: 0.25 0.063036\n0.50 0.243490\n0.75 0.927815\nName: 2232, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.565344389945283, std values: 4.7371674515609765, min values: 1.2176e-06, max values: 37.98, median values: 0.26641, and quantile values: 0.25 0.064798\n0.50 0.266410\n0.75 1.061100\nName: 2233, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3758878944, std values: 5.1430964136214525, min values: 9.824e-07, max values: 44.43, median values: 0.19543, and quantile values: 0.25 0.05105\n0.50 0.19543\n0.75 0.71318\nName: 2234, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5488803091138366, std values: 5.134831492020382, min values: 1.0958e-06, max values: 43.63, median values: 0.27789, and quantile values: 0.25 0.076712\n0.50 0.277890\n0.75 0.965465\nName: 2235, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2322466693920124, std values: 4.672322122587091, min values: 3.465e-07, max values: 37.617, median values: 0.14886, and quantile values: 0.25 0.049372\n0.50 0.148860\n0.75 0.631620\nName: 2236, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.440351638481761, std values: 5.014029533669723, min values: 2.8882e-06, max values: 40.411, median values: 0.21703, and quantile values: 0.25 0.061854\n0.50 0.217030\n0.75 0.791060\nName: 2237, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4608565646932077, std values: 4.971642310630889, min values: 7.6892e-07, max values: 41.203, median values: 0.20387, and quantile values: 0.25 0.064241\n0.50 0.203870\n0.75 0.879200\nName: 2238, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.435932287315912, std values: 4.841124597613039, min values: 9.7313e-07, max values: 38.406, median values: 0.22414, and quantile values: 0.25 0.057002\n0.50 0.224140\n0.75 0.846855\nName: 2239, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2966607389205662, std values: 4.735655954087995, min values: 9.8717e-07, max values: 37.832, median values: 0.19204, and quantile values: 0.25 0.060603\n0.50 0.192040\n0.75 0.701240\nName: 2240, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.797734125537736, std values: 5.199518688130701, min values: 3.2468e-06, max values: 41.217, median values: 0.32994, and quantile values: 0.25 0.091841\n0.50 0.329940\n0.75 1.297250\nName: 2241, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3872069113634717, std values: 4.861377728235437, min values: 1.1842e-08, max values: 40.476, median values: 0.17953, and quantile values: 0.25 0.041969\n0.50 0.179530\n0.75 0.761315\nName: 2242, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4050000406968555, std values: 4.785949023349452, min values: 1.1151e-06, max values: 38.636, median values: 0.2046, and quantile values: 0.25 0.059402\n0.50 0.204600\n0.75 0.879675\nName: 2243, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3201877167663523, std values: 4.773327603747503, min values: 9.6695e-07, max values: 38.623, median values: 0.18727, and quantile values: 0.25 0.059957\n0.50 0.187270\n0.75 0.748205\nName: 2244, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3720209388861635, std values: 4.788645559712029, min values: 1.6285e-06, max values: 40.089, median values: 0.21771, and quantile values: 0.25 0.053316\n0.50 0.217710\n0.75 0.819615\nName: 2245, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4407772896005029, std values: 4.496922563176803, min values: 6.5238e-07, max values: 38.134, median values: 0.22371, and quantile values: 0.25 0.061793\n0.50 0.223710\n0.75 0.908080\nName: 2246, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.783135739171698, std values: 5.108469922552815, min values: 4.3404e-06, max values: 39.612, median values: 0.29816, and quantile values: 0.25 0.076914\n0.50 0.298160\n0.75 1.262800\nName: 2247, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1760783449653458, std values: 4.765339607166171, min values: 6.7819e-07, max values: 38.859, median values: 0.13553, and quantile values: 0.25 0.043465\n0.50 0.135530\n0.75 0.606700\nName: 2248, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5178029776320128, std values: 5.221288892848549, min values: 7.4139e-07, max values: 45.806, median values: 0.22191, and quantile values: 0.25 0.062223\n0.50 0.221910\n0.75 0.894950\nName: 2249, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5621258820830188, std values: 5.056570280755254, min values: 1.1851e-06, max values: 41.866, median values: 0.2585, and quantile values: 0.25 0.070691\n0.50 0.258500\n0.75 0.981475\nName: 2250, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5738016235515724, std values: 4.952767865116598, min values: 1.4309e-06, max values: 38.969, median values: 0.26791, and quantile values: 0.25 0.071211\n0.50 0.267910\n0.75 0.981885\nName: 2251, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.521222452362893, std values: 4.909727105080529, min values: 1.2229e-06, max values: 39.335, median values: 0.24314, and quantile values: 0.25 0.062261\n0.50 0.243140\n0.75 0.968245\nName: 2252, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3373186062672955, std values: 4.895443431773243, min values: 1.7111e-06, max values: 39.485, median values: 0.19182, and quantile values: 0.25 0.058120\n0.50 0.191820\n0.75 0.740685\nName: 2253, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.603722772919497, std values: 5.229948007262295, min values: 2.7483e-06, max values: 43.578, median values: 0.24406, and quantile values: 0.25 0.073235\n0.50 0.244060\n0.75 0.975085\nName: 2254, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.556769380735849, std values: 5.042575690614857, min values: 1.8642e-06, max values: 40.534, median values: 0.24078, and quantile values: 0.25 0.065482\n0.50 0.240780\n0.75 0.997380\nName: 2255, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.356161277046918, std values: 4.86917479521165, min values: 8.7806e-07, max values: 39.595, median values: 0.18027, and quantile values: 0.25 0.047085\n0.50 0.180270\n0.75 0.764085\nName: 2256, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4492427288372955, std values: 4.924806103020458, min values: 1.7152e-07, max values: 41.231, median values: 0.19776, and quantile values: 0.25 0.053726\n0.50 0.197760\n0.75 0.875490\nName: 2257, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5489222106421385, std values: 4.955751742346712, min values: 1.0288e-06, max values: 40.275, median values: 0.26134, and quantile values: 0.25 0.063898\n0.50 0.261340\n0.75 1.032250\nName: 2258, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5214062003471196, std values: 5.024014836025555, min values: 2.5562e-08, max values: 43.312, median values: 0.23873, and quantile values: 0.25 0.048487\n0.50 0.238730\n0.75 0.923960\nName: 2259, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6213776984245283, std values: 5.055851978930481, min values: 2.5311e-06, max values: 39.899, median values: 0.25712, and quantile values: 0.25 0.075394\n0.50 0.257120\n0.75 1.056450\nName: 2260, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.442373562927044, std values: 4.9873482266534, min values: 2.397e-07, max values: 41.838, median values: 0.19538, and quantile values: 0.25 0.053207\n0.50 0.195380\n0.75 0.838480\nName: 2261, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.412073772699371, std values: 4.879220021869032, min values: 1.211e-06, max values: 39.332, median values: 0.20647, and quantile values: 0.25 0.058354\n0.50 0.206470\n0.75 0.835720\nName: 2262, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.541326049184654, std values: 4.864081597256793, min values: 2.3558e-07, max values: 39.327, median values: 0.2099, and quantile values: 0.25 0.052961\n0.50 0.209900\n0.75 0.944860\nName: 2263, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.688746860181132, std values: 5.063372723861566, min values: 4.0816e-06, max values: 40.922, median values: 0.30348, and quantile values: 0.25 0.085555\n0.50 0.303480\n0.75 1.084600\nName: 2264, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5126505460742137, std values: 4.9890318071581, min values: 2.2319e-06, max values: 40.035, median values: 0.25688, and quantile values: 0.25 0.06670\n0.50 0.25688\n0.75 0.94786\nName: 2265, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6761174978100628, std values: 5.208086772744579, min values: 3.6791e-06, max values: 41.929, median values: 0.26796, and quantile values: 0.25 0.080183\n0.50 0.267960\n0.75 1.105650\nName: 2266, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4805161354876353, std values: 4.888257353784721, min values: 5.1534e-08, max values: 40.074, median values: 0.24337, and quantile values: 0.25 0.057147\n0.50 0.243370\n0.75 0.940225\nName: 2267, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7599789773062893, std values: 5.081532741652074, min values: 4.1367e-06, max values: 38.945, median values: 0.31942, and quantile values: 0.25 0.087411\n0.50 0.319420\n0.75 1.165100\nName: 2268, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5700214171022642, std values: 4.952624611683012, min values: 5.5646e-07, max values: 40.229, median values: 0.2489, and quantile values: 0.25 0.062618\n0.50 0.248900\n0.75 0.991220\nName: 2269, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6773751427578614, std values: 5.03433441677331, min values: 5.8392e-06, max values: 39.221, median values: 0.308, and quantile values: 0.25 0.088774\n0.50 0.308000\n0.75 1.099000\nName: 2270, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3276711948425912, std values: 4.598914139405558, min values: 1.6572e-08, max values: 37.389, median values: 0.15406, and quantile values: 0.25 0.043842\n0.50 0.154060\n0.75 0.743400\nName: 2271, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.443963835137736, std values: 4.942914765824189, min values: 1.5003e-06, max values: 40.175, median values: 0.21157, and quantile values: 0.25 0.060713\n0.50 0.211570\n0.75 0.788940\nName: 2272, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3424588788135219, std values: 4.783345523166499, min values: 2.9105e-07, max values: 38.208, median values: 0.16641, and quantile values: 0.25 0.041079\n0.50 0.166410\n0.75 0.734780\nName: 2273, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.556680756708868, std values: 4.896598102213501, min values: 5.5721e-07, max values: 39.744, median values: 0.2673, and quantile values: 0.25 0.080215\n0.50 0.267300\n0.75 1.017760\nName: 2274, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.019658509264151, std values: 5.657343015515122, min values: 6.321e-06, max values: 45.717, median values: 0.35433, and quantile values: 0.25 0.112895\n0.50 0.354330\n0.75 1.390750\nName: 2275, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5085354149135786, std values: 5.0291598359980565, min values: 1.5359e-08, max values: 42.407, median values: 0.22981, and quantile values: 0.25 0.052957\n0.50 0.229810\n0.75 0.904880\nName: 2276, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4747923518144654, std values: 4.872859949158969, min values: 1.2822e-06, max values: 38.715, median values: 0.24498, and quantile values: 0.25 0.065548\n0.50 0.244980\n0.75 0.870915\nName: 2277, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5008170217283017, std values: 4.919448237649916, min values: 3.9904e-06, max values: 40.556, median values: 0.23045, and quantile values: 0.25 0.07192\n0.50 0.23045\n0.75 0.83496\nName: 2278, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4593583337056604, std values: 5.045820828168905, min values: 1.1764e-06, max values: 41.109, median values: 0.22142, and quantile values: 0.25 0.056994\n0.50 0.221420\n0.75 0.890735\nName: 2279, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4125283803915725, std values: 4.853419917136893, min values: 2.6912e-07, max values: 39.853, median values: 0.15336, and quantile values: 0.25 0.045234\n0.50 0.153360\n0.75 0.769440\nName: 2280, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3793130315679245, std values: 4.894996655079219, min values: 1.9004e-06, max values: 39.358, median values: 0.19869, and quantile values: 0.25 0.059917\n0.50 0.198690\n0.75 0.806490\nName: 2281, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5515329658943395, std values: 4.81776743086078, min values: 3.3985e-06, max values: 39.441, median values: 0.27117, and quantile values: 0.25 0.075999\n0.50 0.271170\n0.75 1.065500\nName: 2282, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6379219424601255, std values: 5.075821081772212, min values: 7.4656e-07, max values: 41.695, median values: 0.22405, and quantile values: 0.25 0.062005\n0.50 0.224050\n0.75 1.133800\nName: 2283, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5591411881761006, std values: 5.172791084495705, min values: 2.359e-06, max values: 43.163, median values: 0.25092, and quantile values: 0.25 0.072721\n0.50 0.250920\n0.75 0.945085\nName: 2284, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5635702997402516, std values: 4.974399644489147, min values: 1.7638e-06, max values: 39.558, median values: 0.22987, and quantile values: 0.25 0.066909\n0.50 0.229870\n0.75 0.973225\nName: 2285, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4937355948748428, std values: 4.935951037273826, min values: 1.2418e-06, max values: 39.64, median values: 0.20846, and quantile values: 0.25 0.061076\n0.50 0.208460\n0.75 0.905025\nName: 2286, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6570542903132075, std values: 4.950267236256, min values: 1.1445e-06, max values: 38.682, median values: 0.28216, and quantile values: 0.25 0.074441\n0.50 0.282160\n0.75 1.131350\nName: 2287, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.432419025507673, std values: 5.0379067679016964, min values: 6.7192e-07, max values: 43.349, median values: 0.17479, and quantile values: 0.25 0.055561\n0.50 0.174790\n0.75 0.792590\nName: 2288, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3312539911987422, std values: 4.931952535451487, min values: 7.487e-07, max values: 42.064, median values: 0.18622, and quantile values: 0.25 0.050946\n0.50 0.186220\n0.75 0.702660\nName: 2289, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4460994319348428, std values: 5.030179244056178, min values: 8.1044e-07, max values: 42.326, median values: 0.19285, and quantile values: 0.25 0.052827\n0.50 0.192850\n0.75 0.839215\nName: 2290, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5646741801176727, std values: 5.017246002051655, min values: 8.9561e-07, max values: 40.843, median values: 0.22975, and quantile values: 0.25 0.068225\n0.50 0.229750\n0.75 1.044950\nName: 2291, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.250215134385849, std values: 4.7478822255083735, min values: 5.8735e-07, max values: 38.484, median values: 0.14197, and quantile values: 0.25 0.046216\n0.50 0.141970\n0.75 0.664920\nName: 2292, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3848052927787422, std values: 4.771510704856127, min values: 6.7172e-07, max values: 38.176, median values: 0.21211, and quantile values: 0.25 0.066636\n0.50 0.212110\n0.75 0.828160\nName: 2293, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.543110720564151, std values: 5.0791670710374905, min values: 2.3389e-06, max values: 41.565, median values: 0.24484, and quantile values: 0.25 0.070173\n0.50 0.244840\n0.75 0.924690\nName: 2294, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5856591866264151, std values: 4.916220307218886, min values: 1.4178e-06, max values: 38.689, median values: 0.29298, and quantile values: 0.25 0.072812\n0.50 0.292980\n0.75 1.062950\nName: 2295, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.551464712872956, std values: 4.989839935687577, min values: 6.259e-07, max values: 39.481, median values: 0.27123, and quantile values: 0.25 0.070266\n0.50 0.271230\n0.75 0.960685\nName: 2296, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.561737219307736, std values: 4.838212143376575, min values: 9.4113e-07, max values: 38.342, median values: 0.27384, and quantile values: 0.25 0.077008\n0.50 0.273840\n0.75 1.024810\nName: 2297, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4749457853879875, std values: 4.694292565915616, min values: 1.7789e-07, max values: 37.758, median values: 0.21936, and quantile values: 0.25 0.053633\n0.50 0.219360\n0.75 0.900990\nName: 2298, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6067869857158488, std values: 5.0755452549716855, min values: 5.0572e-07, max values: 42.286, median values: 0.26124, and quantile values: 0.25 0.068303\n0.50 0.261240\n0.75 1.064000\nName: 2299, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4719907150477989, std values: 5.060258610025695, min values: 1.3199e-06, max values: 42.525, median values: 0.24442, and quantile values: 0.25 0.063067\n0.50 0.244420\n0.75 0.818555\nName: 2300, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4568061960449685, std values: 4.930807140863465, min values: 7.3515e-07, max values: 39.54, median values: 0.20668, and quantile values: 0.25 0.058450\n0.50 0.206680\n0.75 0.903995\nName: 2301, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3518527162568552, std values: 4.93031679208492, min values: 9.3974e-07, max values: 41.414, median values: 0.16551, and quantile values: 0.25 0.050202\n0.50 0.165510\n0.75 0.783565\nName: 2302, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4620432212160377, std values: 5.025357771912666, min values: 3.7015e-07, max values: 42.314, median values: 0.19964, and quantile values: 0.25 0.057486\n0.50 0.199640\n0.75 0.860200\nName: 2303, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4586184840132075, std values: 5.141930365216138, min values: 1.2496e-06, max values: 45.049, median values: 0.2086, and quantile values: 0.25 0.063304\n0.50 0.208600\n0.75 0.881375\nName: 2304, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5992048579044025, std values: 4.919957096769954, min values: 1.5496e-06, max values: 38.399, median values: 0.27437, and quantile values: 0.25 0.083715\n0.50 0.274370\n0.75 1.125950\nName: 2305, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7164474995710695, std values: 4.961873390569084, min values: 1.0484e-06, max values: 38.394, median values: 0.31641, and quantile values: 0.25 0.073022\n0.50 0.316410\n0.75 1.226450\nName: 2306, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3141485962313835, std values: 4.919214038237579, min values: 6.9979e-07, max values: 41.944, median values: 0.16161, and quantile values: 0.25 0.052852\n0.50 0.161610\n0.75 0.722000\nName: 2307, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4249366746276728, std values: 5.047057388121105, min values: 2.8904e-06, max values: 41.747, median values: 0.19305, and quantile values: 0.25 0.049539\n0.50 0.193050\n0.75 0.794130\nName: 2308, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.478824310491912, std values: 4.7524737546668225, min values: 1.9914e-08, max values: 38.124, median values: 0.21093, and quantile values: 0.25 0.055884\n0.50 0.210930\n0.75 0.907110\nName: 2309, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6946740707666668, std values: 5.33817573547555, min values: 1.4747e-06, max values: 46.06, median values: 0.27125, and quantile values: 0.25 0.077382\n0.50 0.271250\n0.75 1.045450\nName: 2310, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4305119967018867, std values: 4.813730431699002, min values: 3.3528e-06, max values: 40.065, median values: 0.2019, and quantile values: 0.25 0.062578\n0.50 0.201900\n0.75 0.810705\nName: 2311, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7508691908377356, std values: 5.349965591392536, min values: 7.7062e-06, max values: 41.974, median values: 0.26793, and quantile values: 0.25 0.084004\n0.50 0.267930\n0.75 1.057450\nName: 2312, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3214741317981133, std values: 4.768680821595649, min values: 3.1337e-06, max values: 39.34, median values: 0.18482, and quantile values: 0.25 0.052847\n0.50 0.184820\n0.75 0.673500\nName: 2313, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6396281920522013, std values: 5.155649655762823, min values: 3.3559e-06, max values: 41.668, median values: 0.23886, and quantile values: 0.25 0.078691\n0.50 0.238860\n0.75 1.033050\nName: 2314, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4583287556257862, std values: 4.902459218563551, min values: 4.8246e-06, max values: 41.499, median values: 0.20431, and quantile values: 0.25 0.053410\n0.50 0.204310\n0.75 0.781505\nName: 2315, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.419525870394717, std values: 5.031373273482721, min values: 4.2006e-07, max values: 42.694, median values: 0.19265, and quantile values: 0.25 0.052653\n0.50 0.192650\n0.75 0.849035\nName: 2316, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4736585754716982, std values: 4.839154065278759, min values: 1.8689e-06, max values: 38.633, median values: 0.21866, and quantile values: 0.25 0.069947\n0.50 0.218660\n0.75 0.892530\nName: 2317, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5895305733421383, std values: 4.961865580172982, min values: 2.4522e-06, max values: 39.573, median values: 0.24626, and quantile values: 0.25 0.074056\n0.50 0.246260\n0.75 1.017685\nName: 2318, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5732175764037735, std values: 5.16832370883686, min values: 1.6563e-06, max values: 43.35, median values: 0.23241, and quantile values: 0.25 0.073131\n0.50 0.232410\n0.75 0.976175\nName: 2319, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3392869720991194, std values: 5.126433069230368, min values: 9.6116e-07, max values: 44.335, median values: 0.17361, and quantile values: 0.25 0.045268\n0.50 0.173610\n0.75 0.695830\nName: 2320, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3239203187503146, std values: 4.658540427525741, min values: 1.1976e-06, max values: 38.956, median values: 0.19192, and quantile values: 0.25 0.056254\n0.50 0.191920\n0.75 0.802535\nName: 2321, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.438795562080126, std values: 5.086928444814224, min values: 4.6914e-07, max values: 44.278, median values: 0.19003, and quantile values: 0.25 0.061752\n0.50 0.190030\n0.75 0.818595\nName: 2322, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5662112802867925, std values: 4.973644898417488, min values: 1.1272e-06, max values: 39.934, median values: 0.25158, and quantile values: 0.25 0.064516\n0.50 0.251580\n0.75 0.977645\nName: 2323, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.351052711472327, std values: 5.085212954740119, min values: 1.4497e-06, max values: 42.888, median values: 0.17697, and quantile values: 0.25 0.054983\n0.50 0.176970\n0.75 0.705780\nName: 2324, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.50095820902956, std values: 5.058996601333477, min values: 2.9128e-06, max values: 40.679, median values: 0.21663, and quantile values: 0.25 0.067282\n0.50 0.216630\n0.75 0.888455\nName: 2325, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5314560179369812, std values: 4.874120192012253, min values: 6.8878e-07, max values: 38.672, median values: 0.24126, and quantile values: 0.25 0.064278\n0.50 0.241260\n0.75 1.007400\nName: 2326, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6988497143968553, std values: 5.146936325454918, min values: 3.3967e-06, max values: 40.398, median values: 0.29961, and quantile values: 0.25 0.07758\n0.50 0.29961\n0.75 1.10930\nName: 2327, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5328690278627672, std values: 5.081450399266821, min values: 1.6098e-07, max values: 43.774, median values: 0.21319, and quantile values: 0.25 0.055026\n0.50 0.213190\n0.75 0.912275\nName: 2328, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5915365185163524, std values: 5.017036321972244, min values: 2.1933e-06, max values: 39.454, median values: 0.2746, and quantile values: 0.25 0.074215\n0.50 0.274600\n0.75 1.053250\nName: 2329, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.433427729008805, std values: 4.8380262881653175, min values: 2.4155e-06, max values: 39.104, median values: 0.23777, and quantile values: 0.25 0.067177\n0.50 0.237770\n0.75 0.863440\nName: 2330, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6372440582333334, std values: 5.2121767600212126, min values: 3.078e-06, max values: 42.948, median values: 0.25361, and quantile values: 0.25 0.076233\n0.50 0.253610\n0.75 0.992895\nName: 2331, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4926258149654088, std values: 4.963215240267913, min values: 6.107e-07, max values: 41.51, median values: 0.24757, and quantile values: 0.25 0.062459\n0.50 0.247570\n0.75 0.900385\nName: 2332, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2936812481254087, std values: 4.762658429880563, min values: 8.9544e-07, max values: 38.553, median values: 0.13835, and quantile values: 0.25 0.040138\n0.50 0.138350\n0.75 0.661465\nName: 2333, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.598951239489937, std values: 4.7895143495410055, min values: 1.0891e-06, max values: 38.108, median values: 0.27621, and quantile values: 0.25 0.070683\n0.50 0.276210\n0.75 1.095650\nName: 2334, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.443289418809497, std values: 4.676247049608987, min values: 3.4111e-07, max values: 37.315, median values: 0.21187, and quantile values: 0.25 0.056952\n0.50 0.211870\n0.75 0.903415\nName: 2335, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6276391733691824, std values: 5.106140020015015, min values: 1.0965e-06, max values: 42.464, median values: 0.23835, and quantile values: 0.25 0.068218\n0.50 0.238350\n0.75 1.032930\nName: 2336, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4270679952754715, std values: 4.980307412789986, min values: 1.2211e-06, max values: 40.368, median values: 0.21039, and quantile values: 0.25 0.056359\n0.50 0.210390\n0.75 0.811165\nName: 2337, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4669216360811321, std values: 4.863832327266444, min values: 2.5789e-06, max values: 39.334, median values: 0.23301, and quantile values: 0.25 0.069081\n0.50 0.233010\n0.75 0.866875\nName: 2338, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5502502589224403, std values: 4.851089324420556, min values: 2.5768e-08, max values: 38.606, median values: 0.22542, and quantile values: 0.25 0.053526\n0.50 0.225420\n0.75 1.030680\nName: 2339, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4299982899346542, std values: 4.7728079601091045, min values: 9.8821e-07, max values: 38.007, median values: 0.23955, and quantile values: 0.25 0.068152\n0.50 0.239550\n0.75 0.864885\nName: 2340, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4536432136150943, std values: 4.8947320087594335, min values: 1.8558e-06, max values: 39.767, median values: 0.22297, and quantile values: 0.25 0.064412\n0.50 0.222970\n0.75 0.834470\nName: 2341, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1716253165701886, std values: 4.90751611732859, min values: 6.5356e-07, max values: 41.88, median values: 0.13345, and quantile values: 0.25 0.043653\n0.50 0.133450\n0.75 0.535105\nName: 2342, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4698325696257861, std values: 4.6018733940006245, min values: 2.7341e-06, max values: 39.468, median values: 0.24935, and quantile values: 0.25 0.063917\n0.50 0.249350\n0.75 0.945775\nName: 2343, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6271767944572328, std values: 4.872719203934763, min values: 1.7184e-06, max values: 38.453, median values: 0.24341, and quantile values: 0.25 0.06919\n0.50 0.24341\n0.75 1.11370\nName: 2344, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4977410626086165, std values: 4.916302137880366, min values: 6.7007e-07, max values: 40.074, median values: 0.22604, and quantile values: 0.25 0.064565\n0.50 0.226040\n0.75 0.934000\nName: 2345, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.550973678834717, std values: 5.0493597237524535, min values: 7.9892e-07, max values: 42.189, median values: 0.23014, and quantile values: 0.25 0.057292\n0.50 0.230140\n0.75 0.943030\nName: 2346, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.450527674235975, std values: 4.82477766895819, min values: 8.1702e-07, max values: 38.546, median values: 0.23901, and quantile values: 0.25 0.067230\n0.50 0.239010\n0.75 0.856765\nName: 2347, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5556354996955974, std values: 5.281052534546837, min values: 4.6556e-06, max values: 43.659, median values: 0.23452, and quantile values: 0.25 0.079109\n0.50 0.234520\n0.75 0.872575\nName: 2348, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3324406782220943, std values: 4.6974402715479044, min values: 8.2153e-08, max values: 37.83, median values: 0.17042, and quantile values: 0.25 0.038692\n0.50 0.170420\n0.75 0.690980\nName: 2349, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3848390527563963, std values: 5.133201939023767, min values: 1.239e-08, max values: 46.539, median values: 0.17492, and quantile values: 0.25 0.038822\n0.50 0.174920\n0.75 0.715175\nName: 2350, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.441331946090566, std values: 5.054861536803918, min values: 2.7134e-06, max values: 40.952, median values: 0.19882, and quantile values: 0.25 0.061007\n0.50 0.198820\n0.75 0.787930\nName: 2351, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2948384227262264, std values: 4.532508178116262, min values: 7.5579e-07, max values: 37.2, median values: 0.15673, and quantile values: 0.25 0.048570\n0.50 0.156730\n0.75 0.682295\nName: 2352, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4920701454575787, std values: 4.8764853871636875, min values: 2.4675e-08, max values: 40.193, median values: 0.22801, and quantile values: 0.25 0.051994\n0.50 0.228010\n0.75 1.008510\nName: 2353, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6093665388823901, std values: 4.913307097111052, min values: 3.5655e-06, max values: 39.637, median values: 0.27861, and quantile values: 0.25 0.076644\n0.50 0.278610\n0.75 1.067550\nName: 2354, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4880572064937108, std values: 4.783723380698392, min values: 4.6759e-06, max values: 40.343, median values: 0.25021, and quantile values: 0.25 0.071692\n0.50 0.250210\n0.75 0.867545\nName: 2355, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8216762103867925, std values: 5.347253577998986, min values: 5.3785e-06, max values: 41.387, median values: 0.30862, and quantile values: 0.25 0.095649\n0.50 0.308620\n0.75 1.130200\nName: 2356, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3946552883524215, std values: 5.051153148980453, min values: 1.7565e-08, max values: 43.801, median values: 0.17275, and quantile values: 0.25 0.041692\n0.50 0.172750\n0.75 0.726910\nName: 2357, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5977642619150942, std values: 4.938928941892775, min values: 4.6113e-06, max values: 40.495, median values: 0.22453, and quantile values: 0.25 0.068063\n0.50 0.224530\n0.75 0.965090\nName: 2358, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6110577766685532, std values: 5.106131691636469, min values: 5.4175e-06, max values: 40.985, median values: 0.22757, and quantile values: 0.25 0.076345\n0.50 0.227570\n0.75 0.938770\nName: 2359, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3996609447619495, std values: 4.9423422426634955, min values: 6.6415e-07, max values: 40.807, median values: 0.17719, and quantile values: 0.25 0.060320\n0.50 0.177190\n0.75 0.795045\nName: 2360, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.715335105861635, std values: 5.2805955295332065, min values: 3.8646e-06, max values: 42.294, median values: 0.28718, and quantile values: 0.25 0.090172\n0.50 0.287180\n0.75 1.062850\nName: 2361, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3634333277012578, std values: 4.767265949503396, min values: 4.8044e-06, max values: 41.036, median values: 0.20155, and quantile values: 0.25 0.064674\n0.50 0.201550\n0.75 0.717180\nName: 2362, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3702678917493776, std values: 4.653710342274906, min values: 2.0911e-08, max values: 37.073, median values: 0.17638, and quantile values: 0.25 0.041612\n0.50 0.176380\n0.75 0.775865\nName: 2363, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.533816885826415, std values: 5.018263030614882, min values: 2.7754e-06, max values: 40.052, median values: 0.23809, and quantile values: 0.25 0.073252\n0.50 0.238090\n0.75 0.879855\nName: 2364, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4295961761807925, std values: 5.233568958260781, min values: 1.4556e-08, max values: 47.721, median values: 0.16296, and quantile values: 0.25 0.041402\n0.50 0.162960\n0.75 0.743300\nName: 2365, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.522702105115094, std values: 4.6577618336758055, min values: 1.4324e-06, max values: 38.726, median values: 0.24476, and quantile values: 0.25 0.074407\n0.50 0.244760\n0.75 1.032400\nName: 2366, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4802284081924528, std values: 5.055256225143146, min values: 1.2003e-06, max values: 42.169, median values: 0.24658, and quantile values: 0.25 0.066674\n0.50 0.246580\n0.75 0.815190\nName: 2367, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4564653613921386, std values: 5.011050142184619, min values: 2.7005e-07, max values: 42.114, median values: 0.20483, and quantile values: 0.25 0.054961\n0.50 0.204830\n0.75 0.863660\nName: 2368, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4718806732001257, std values: 4.814842101371824, min values: 7.8112e-07, max values: 38.308, median values: 0.22034, and quantile values: 0.25 0.058392\n0.50 0.220340\n0.75 0.903630\nName: 2369, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6650817544099372, std values: 4.960589648550325, min values: 7.9648e-07, max values: 38.625, median values: 0.29184, and quantile values: 0.25 0.074095\n0.50 0.291840\n0.75 1.156600\nName: 2370, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6297659180993713, std values: 5.189273094978062, min values: 3.865e-06, max values: 41.514, median values: 0.27445, and quantile values: 0.25 0.077303\n0.50 0.274450\n0.75 0.963180\nName: 2371, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5755898108056607, std values: 4.9969621981354635, min values: 1.8133e-06, max values: 39.499, median values: 0.26749, and quantile values: 0.25 0.069893\n0.50 0.267490\n0.75 0.990775\nName: 2372, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2924169752389938, std values: 4.72525777486981, min values: 1.1647e-06, max values: 38.343, median values: 0.16767, and quantile values: 0.25 0.047027\n0.50 0.167670\n0.75 0.691660\nName: 2373, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2735859998249057, std values: 4.694894621121719, min values: 8.4336e-07, max values: 38.652, median values: 0.16368, and quantile values: 0.25 0.057534\n0.50 0.163680\n0.75 0.737770\nName: 2374, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.400186846534591, std values: 4.818312679609476, min values: 3.0803e-06, max values: 39.719, median values: 0.2022, and quantile values: 0.25 0.063402\n0.50 0.202200\n0.75 0.803020\nName: 2375, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4234438966365408, std values: 4.756728443509455, min values: 6.7981e-07, max values: 37.7, median values: 0.2069, and quantile values: 0.25 0.058062\n0.50 0.206900\n0.75 0.924645\nName: 2376, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4136112807706915, std values: 4.814294948715646, min values: 5.3444e-07, max values: 38.601, median values: 0.18666, and quantile values: 0.25 0.055193\n0.50 0.186660\n0.75 0.784805\nName: 2377, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6694863761295597, std values: 5.0606038568942004, min values: 1.7193e-06, max values: 40.431, median values: 0.27354, and quantile values: 0.25 0.084812\n0.50 0.273540\n0.75 1.178800\nName: 2378, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3259136089220127, std values: 4.798574760198979, min values: 1.4778e-06, max values: 39.661, median values: 0.18189, and quantile values: 0.25 0.051826\n0.50 0.181890\n0.75 0.720935\nName: 2379, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4872221777022012, std values: 4.918263916658575, min values: 2.0795e-07, max values: 40.625, median values: 0.18914, and quantile values: 0.25 0.055138\n0.50 0.189140\n0.75 0.881650\nName: 2380, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3130006964551573, std values: 4.841335800763729, min values: 4.8217e-07, max values: 40.36, median values: 0.17675, and quantile values: 0.25 0.050951\n0.50 0.176750\n0.75 0.700840\nName: 2381, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.638680289289308, std values: 5.345643508619567, min values: 1.2421e-05, max values: 43.171, median values: 0.22034, and quantile values: 0.25 0.068412\n0.50 0.220340\n0.75 0.790540\nName: 2382, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3294988563163523, std values: 4.734546903463863, min values: 1.1785e-06, max values: 38.947, median values: 0.19448, and quantile values: 0.25 0.054768\n0.50 0.194480\n0.75 0.754915\nName: 2383, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6749653629937107, std values: 5.162453333586813, min values: 5.2141e-06, max values: 40.261, median values: 0.28638, and quantile values: 0.25 0.083714\n0.50 0.286380\n0.75 1.029500\nName: 2384, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3243164869124529, std values: 4.834800071230998, min values: 2.0568e-07, max values: 39.923, median values: 0.18524, and quantile values: 0.25 0.053102\n0.50 0.185240\n0.75 0.689645\nName: 2385, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.714672062757044, std values: 5.192889705748688, min values: 5.3757e-07, max values: 43.501, median values: 0.26967, and quantile values: 0.25 0.072769\n0.50 0.269670\n0.75 1.219450\nName: 2386, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.487384495286327, std values: 4.839348965273384, min values: 1.8806e-08, max values: 38.833, median values: 0.21946, and quantile values: 0.25 0.048101\n0.50 0.219460\n0.75 0.986695\nName: 2387, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4712781902037733, std values: 4.822189015128746, min values: 2.6742e-06, max values: 39.7, median values: 0.25105, and quantile values: 0.25 0.066572\n0.50 0.251050\n0.75 0.896690\nName: 2388, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4587324857238992, std values: 4.954681388998957, min values: 2.4137e-06, max values: 40.312, median values: 0.21946, and quantile values: 0.25 0.062218\n0.50 0.219460\n0.75 0.829215\nName: 2389, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5876504869207546, std values: 5.0450971582612105, min values: 2.5208e-06, max values: 40.246, median values: 0.26959, and quantile values: 0.25 0.074063\n0.50 0.269590\n0.75 1.041950\nName: 2390, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5011088055333333, std values: 5.178592320854054, min values: 2.6242e-06, max values: 44.146, median values: 0.22629, and quantile values: 0.25 0.068365\n0.50 0.226290\n0.75 0.889590\nName: 2391, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4609533294601886, std values: 4.7264493575706386, min values: 2.8938e-07, max values: 37.314, median values: 0.2056, and quantile values: 0.25 0.053386\n0.50 0.205600\n0.75 0.898050\nName: 2392, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4780822162754719, std values: 4.942765538947359, min values: 1.1071e-06, max values: 39.612, median values: 0.18924, and quantile values: 0.25 0.060514\n0.50 0.189240\n0.75 0.846755\nName: 2393, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5754250536328114, std values: 4.850917106704264, min values: 1.3117e-08, max values: 38.906, median values: 0.25017, and quantile values: 0.25 0.055945\n0.50 0.250170\n0.75 1.112450\nName: 2394, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4378968185446541, std values: 4.775067954243404, min values: 1.8214e-06, max values: 38.761, median values: 0.21569, and quantile values: 0.25 0.064305\n0.50 0.215690\n0.75 0.864425\nName: 2395, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6371887647597483, std values: 5.230034241741767, min values: 3.217e-06, max values: 42.052, median values: 0.25784, and quantile values: 0.25 0.06056\n0.50 0.25784\n0.75 1.04265\nName: 2396, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6159545780540878, std values: 5.039826416712908, min values: 6.3053e-06, max values: 41.117, median values: 0.23988, and quantile values: 0.25 0.081559\n0.50 0.239880\n0.75 1.015825\nName: 2397, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5234345773067297, std values: 4.908372066518804, min values: 7.4547e-07, max values: 39.792, median values: 0.23979, and quantile values: 0.25 0.066914\n0.50 0.239790\n0.75 0.952280\nName: 2398, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4511863272572956, std values: 4.904362996549302, min values: 4.7071e-07, max values: 40.542, median values: 0.20733, and quantile values: 0.25 0.060371\n0.50 0.207330\n0.75 0.884850\nName: 2399, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4781760483792454, std values: 4.966819705236967, min values: 1.5838e-06, max values: 39.798, median values: 0.21504, and quantile values: 0.25 0.061683\n0.50 0.215040\n0.75 0.908745\nName: 2400, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4641163904327044, std values: 4.818883316350639, min values: 3.3542e-06, max values: 39.931, median values: 0.23634, and quantile values: 0.25 0.069975\n0.50 0.236340\n0.75 0.863110\nName: 2401, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3337655160290567, std values: 4.6696763598879905, min values: 3.1042e-07, max values: 38.081, median values: 0.18482, and quantile values: 0.25 0.051569\n0.50 0.184820\n0.75 0.718040\nName: 2402, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3904261083079243, std values: 4.7018083181763, min values: 8.3766e-07, max values: 37.261, median values: 0.21559, and quantile values: 0.25 0.067871\n0.50 0.215590\n0.75 0.871350\nName: 2403, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4051995829313835, std values: 4.732612299447832, min values: 4.2989e-07, max values: 37.732, median values: 0.18792, and quantile values: 0.25 0.058006\n0.50 0.187920\n0.75 0.874800\nName: 2404, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5582560588610066, std values: 4.9335997269312655, min values: 1.4044e-06, max values: 39.182, median values: 0.2275, and quantile values: 0.25 0.069834\n0.50 0.227500\n0.75 0.997360\nName: 2405, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.385183495420566, std values: 4.590561160502695, min values: 9.3597e-07, max values: 38.541, median values: 0.22387, and quantile values: 0.25 0.064214\n0.50 0.223870\n0.75 0.810240\nName: 2406, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1542496497477988, std values: 4.4286799643482135, min values: 1.1683e-06, max values: 38.51, median values: 0.14224, and quantile values: 0.25 0.047963\n0.50 0.142240\n0.75 0.577715\nName: 2407, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5512423853761006, std values: 5.110438666227893, min values: 1.0538e-06, max values: 43.069, median values: 0.2508, and quantile values: 0.25 0.076677\n0.50 0.250800\n0.75 0.927965\nName: 2408, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.515027336266478, std values: 4.773456961761065, min values: 3.7717e-07, max values: 38.24, median values: 0.24139, and quantile values: 0.25 0.063413\n0.50 0.241390\n0.75 0.978465\nName: 2409, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.443761832592453, std values: 4.892570519737517, min values: 3.944e-06, max values: 40.427, median values: 0.19932, and quantile values: 0.25 0.065622\n0.50 0.199320\n0.75 0.790355\nName: 2410, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5916100242855347, std values: 5.082587868742927, min values: 2.3491e-06, max values: 40.981, median values: 0.27155, and quantile values: 0.25 0.071183\n0.50 0.271550\n0.75 1.064650\nName: 2411, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6027278122930815, std values: 4.857168841611186, min values: 1.0955e-06, max values: 37.67, median values: 0.27782, and quantile values: 0.25 0.080876\n0.50 0.277820\n0.75 1.146100\nName: 2412, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.612027443128302, std values: 5.105034804126476, min values: 2.0382e-06, max values: 41.402, median values: 0.26807, and quantile values: 0.25 0.069736\n0.50 0.268070\n0.75 1.060090\nName: 2413, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7852646198596227, std values: 5.452395684325755, min values: 5.8438e-07, max values: 48.484, median values: 0.29431, and quantile values: 0.25 0.071028\n0.50 0.294310\n0.75 1.242000\nName: 2414, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.504805143573585, std values: 5.112106846745921, min values: 1.1433e-06, max values: 43.476, median values: 0.2215, and quantile values: 0.25 0.070236\n0.50 0.221500\n0.75 0.908345\nName: 2415, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6055460407157232, std values: 5.093364298033807, min values: 3.1833e-06, max values: 40.823, median values: 0.25364, and quantile values: 0.25 0.071388\n0.50 0.253640\n0.75 1.019000\nName: 2416, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5861006698390565, std values: 4.889939439732885, min values: 8.8381e-07, max values: 38.285, median values: 0.27069, and quantile values: 0.25 0.075283\n0.50 0.270690\n0.75 0.993205\nName: 2417, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4847327625791198, std values: 5.055789916342459, min values: 5.9798e-07, max values: 43.45, median values: 0.23411, and quantile values: 0.25 0.066030\n0.50 0.234110\n0.75 0.899325\nName: 2418, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5196766703823268, std values: 5.0321734902933635, min values: 6.8929e-07, max values: 41.898, median values: 0.22299, and quantile values: 0.25 0.062371\n0.50 0.222990\n0.75 0.910980\nName: 2419, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.79641145681761, std values: 5.281061247616557, min values: 3.8419e-06, max values: 42.77, median values: 0.30776, and quantile values: 0.25 0.082963\n0.50 0.307760\n0.75 1.295700\nName: 2420, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3810022508949686, std values: 4.9562786314202185, min values: 1.6446e-06, max values: 40.819, median values: 0.22031, and quantile values: 0.25 0.057584\n0.50 0.220310\n0.75 0.777990\nName: 2421, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3498901505597485, std values: 4.668602062251728, min values: 2.427e-06, max values: 39.947, median values: 0.20887, and quantile values: 0.25 0.060930\n0.50 0.208870\n0.75 0.708065\nName: 2422, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4655685763880504, std values: 4.863418713654384, min values: 1.681e-06, max values: 39.699, median values: 0.21835, and quantile values: 0.25 0.063664\n0.50 0.218350\n0.75 0.890080\nName: 2423, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3128684459547169, std values: 5.011943147714826, min values: 5.632e-07, max values: 42.847, median values: 0.15062, and quantile values: 0.25 0.047622\n0.50 0.150620\n0.75 0.668425\nName: 2424, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6809873399679247, std values: 5.153779727415677, min values: 3.0291e-06, max values: 40.466, median values: 0.27291, and quantile values: 0.25 0.081658\n0.50 0.272910\n0.75 1.031140\nName: 2425, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5377809078698113, std values: 4.770120197863451, min values: 2.6475e-06, max values: 39.499, median values: 0.24774, and quantile values: 0.25 0.071170\n0.50 0.247740\n0.75 0.957035\nName: 2426, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4687362377962265, std values: 4.772582969501129, min values: 3.8546e-06, max values: 40.737, median values: 0.2448, and quantile values: 0.25 0.068452\n0.50 0.244800\n0.75 0.833105\nName: 2427, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4265895675358489, std values: 4.555376417359967, min values: 1.0032e-06, max values: 37.208, median values: 0.22548, and quantile values: 0.25 0.061413\n0.50 0.225480\n0.75 0.956040\nName: 2428, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2922024228973585, std values: 4.748077268688627, min values: 8.4778e-07, max values: 37.985, median values: 0.18597, and quantile values: 0.25 0.054352\n0.50 0.185970\n0.75 0.729755\nName: 2429, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6656719913213835, std values: 5.0529692655796286, min values: 3.3775e-06, max values: 39.453, median values: 0.27541, and quantile values: 0.25 0.077988\n0.50 0.275410\n0.75 1.082000\nName: 2430, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8477282703786164, std values: 5.63488331307765, min values: 1.0332e-06, max values: 50.318, median values: 0.31162, and quantile values: 0.25 0.076369\n0.50 0.311620\n0.75 1.297500\nName: 2431, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.449136165591824, std values: 5.009440207922752, min values: 2.7874e-06, max values: 40.318, median values: 0.21571, and quantile values: 0.25 0.067137\n0.50 0.215710\n0.75 0.877320\nName: 2432, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3806217902662263, std values: 5.013107229496302, min values: 3.2553e-07, max values: 43.398, median values: 0.19734, and quantile values: 0.25 0.052021\n0.50 0.197340\n0.75 0.762905\nName: 2433, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5488488292050315, std values: 4.9681737512942705, min values: 1.2572e-06, max values: 39.85, median values: 0.23037, and quantile values: 0.25 0.06722\n0.50 0.23037\n0.75 0.97172\nName: 2434, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5284616499333332, std values: 5.0401804016421226, min values: 1.647e-06, max values: 41.435, median values: 0.23749, and quantile values: 0.25 0.069557\n0.50 0.237490\n0.75 0.939300\nName: 2435, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2756249780013962, std values: 4.817002589154904, min values: 1.8572e-08, max values: 40.826, median values: 0.17707, and quantile values: 0.25 0.045714\n0.50 0.177070\n0.75 0.692975\nName: 2436, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4014102028716982, std values: 4.988535775174363, min values: 1.9709e-06, max values: 40.352, median values: 0.17702, and quantile values: 0.25 0.055765\n0.50 0.177020\n0.75 0.781935\nName: 2437, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4530986016283018, std values: 4.728773918838704, min values: 1.9363e-06, max values: 38.706, median values: 0.24407, and quantile values: 0.25 0.066714\n0.50 0.244070\n0.75 0.882290\nName: 2438, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5128699091786166, std values: 4.830621989700487, min values: 2.6742e-06, max values: 39.995, median values: 0.24645, and quantile values: 0.25 0.067946\n0.50 0.246450\n0.75 0.968700\nName: 2439, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6525305403050312, std values: 5.092591975443308, min values: 2.3752e-06, max values: 40.291, median values: 0.25393, and quantile values: 0.25 0.073003\n0.50 0.253930\n0.75 1.067050\nName: 2440, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4317766307540882, std values: 4.835476179334435, min values: 3.9538e-06, max values: 40.255, median values: 0.21481, and quantile values: 0.25 0.063951\n0.50 0.214810\n0.75 0.803600\nName: 2441, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4470349304655343, std values: 4.7931920313880605, min values: 7.2672e-07, max values: 38.064, median values: 0.21228, and quantile values: 0.25 0.066240\n0.50 0.212280\n0.75 0.842235\nName: 2442, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6583422754044024, std values: 5.2473371901653145, min values: 5.1357e-06, max values: 42.178, median values: 0.259, and quantile values: 0.25 0.084548\n0.50 0.259000\n0.75 1.008615\nName: 2443, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5121348456968553, std values: 4.961996100344668, min values: 1.8338e-06, max values: 39.969, median values: 0.26718, and quantile values: 0.25 0.080589\n0.50 0.267180\n0.75 0.982015\nName: 2444, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4706997136503144, std values: 4.817399040329277, min values: 1.0386e-06, max values: 38.327, median values: 0.23523, and quantile values: 0.25 0.068748\n0.50 0.235230\n0.75 0.930830\nName: 2445, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4076631203685535, std values: 4.820156533650951, min values: 3.4958e-06, max values: 39.745, median values: 0.22401, and quantile values: 0.25 0.071257\n0.50 0.224010\n0.75 0.768740\nName: 2446, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4213187571025159, std values: 4.758067735335423, min values: 1.2312e-06, max values: 38.522, median values: 0.18849, and quantile values: 0.25 0.058357\n0.50 0.188490\n0.75 0.830355\nName: 2447, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3538087787496857, std values: 4.687256943316977, min values: 1.98e-06, max values: 39.57, median values: 0.17833, and quantile values: 0.25 0.057165\n0.50 0.178330\n0.75 0.760345\nName: 2448, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4109251579649056, std values: 4.780965842494572, min values: 6.5052e-07, max values: 37.982, median values: 0.22028, and quantile values: 0.25 0.058923\n0.50 0.220280\n0.75 0.795500\nName: 2449, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2897185377825848, std values: 4.729295329232363, min values: 2.4771e-08, max values: 38.907, median values: 0.18155, and quantile values: 0.25 0.042860\n0.50 0.181550\n0.75 0.650775\nName: 2450, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5011124886805032, std values: 4.9013988212380495, min values: 1.7347e-06, max values: 39.132, median values: 0.22978, and quantile values: 0.25 0.065587\n0.50 0.229780\n0.75 0.931980\nName: 2451, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3895083187578616, std values: 4.803194946780106, min values: 1.9516e-06, max values: 39.008, median values: 0.20348, and quantile values: 0.25 0.058143\n0.50 0.203480\n0.75 0.878680\nName: 2452, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3783250656088049, std values: 4.767761876155351, min values: 1.0297e-06, max values: 39.397, median values: 0.18732, and quantile values: 0.25 0.057836\n0.50 0.187320\n0.75 0.822720\nName: 2453, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6623139077071072, std values: 5.062800117320471, min values: 4.6013e-07, max values: 42.146, median values: 0.28095, and quantile values: 0.25 0.074685\n0.50 0.280950\n0.75 1.131050\nName: 2454, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7672039509503144, std values: 5.167718212680872, min values: 3.3451e-06, max values: 40.375, median values: 0.33998, and quantile values: 0.25 0.088095\n0.50 0.339980\n0.75 1.232050\nName: 2455, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.500912826610692, std values: 4.9921245042248845, min values: 1.3914e-06, max values: 41.357, median values: 0.2285, and quantile values: 0.25 0.068474\n0.50 0.228500\n0.75 0.905330\nName: 2456, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.679462968558491, std values: 5.2180755578636315, min values: 3.2638e-06, max values: 42.365, median values: 0.26188, and quantile values: 0.25 0.078288\n0.50 0.261880\n0.75 1.062000\nName: 2457, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.338790424833497, std values: 4.560795106455627, min values: 1.6466e-08, max values: 36.181, median values: 0.19424, and quantile values: 0.25 0.042609\n0.50 0.194240\n0.75 0.776175\nName: 2458, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4770247945440251, std values: 4.854582705366916, min values: 2.5343e-06, max values: 39.601, median values: 0.23232, and quantile values: 0.25 0.066407\n0.50 0.232320\n0.75 0.883870\nName: 2459, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.688635951544025, std values: 5.242448292733245, min values: 1.2425e-06, max values: 43.879, median values: 0.29039, and quantile values: 0.25 0.07260\n0.50 0.29039\n0.75 1.13165\nName: 2460, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4446160963050314, std values: 4.874433925464854, min values: 1.8383e-06, max values: 39.218, median values: 0.19954, and quantile values: 0.25 0.063325\n0.50 0.199540\n0.75 0.848165\nName: 2461, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4018354862559748, std values: 4.738897549269563, min values: 2.0349e-06, max values: 39.71, median values: 0.23271, and quantile values: 0.25 0.057429\n0.50 0.232710\n0.75 0.853450\nName: 2462, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4135822346020754, std values: 4.937954127751284, min values: 4.0773e-07, max values: 40.473, median values: 0.19893, and quantile values: 0.25 0.053912\n0.50 0.198930\n0.75 0.777910\nName: 2463, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5273913773384278, std values: 4.773573471799696, min values: 9.6951e-07, max values: 38.274, median values: 0.2332, and quantile values: 0.25 0.067275\n0.50 0.233200\n0.75 0.989305\nName: 2464, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.408262869038365, std values: 4.903231028590238, min values: 1.4841e-06, max values: 40.763, median values: 0.20913, and quantile values: 0.25 0.064625\n0.50 0.209130\n0.75 0.800750\nName: 2465, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5266962550494338, std values: 4.906640796856084, min values: 3.6416e-07, max values: 39.307, median values: 0.21179, and quantile values: 0.25 0.055221\n0.50 0.211790\n0.75 1.020095\nName: 2466, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.54557986604956, std values: 5.078014095534501, min values: 4.2448e-07, max values: 42.819, median values: 0.23405, and quantile values: 0.25 0.059067\n0.50 0.234050\n0.75 0.956040\nName: 2467, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5827213797467294, std values: 5.234804953060938, min values: 9.6193e-07, max values: 44.537, median values: 0.21497, and quantile values: 0.25 0.064103\n0.50 0.214970\n0.75 1.020170\nName: 2468, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5663268160748427, std values: 5.022652724329354, min values: 7.645e-07, max values: 40.728, median values: 0.21949, and quantile values: 0.25 0.068973\n0.50 0.219490\n0.75 0.997450\nName: 2469, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3743288610113207, std values: 4.875625075496947, min values: 1.7423e-06, max values: 39.712, median values: 0.18722, and quantile values: 0.25 0.051264\n0.50 0.187220\n0.75 0.800005\nName: 2470, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7047396074421384, std values: 5.023648816330484, min values: 2.391e-06, max values: 39.174, median values: 0.32231, and quantile values: 0.25 0.076105\n0.50 0.322310\n0.75 1.173550\nName: 2471, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5111172035937108, std values: 4.815738099478705, min values: 2.0801e-06, max values: 39.201, median values: 0.23787, and quantile values: 0.25 0.071529\n0.50 0.237870\n0.75 0.999615\nName: 2472, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6827948107949684, std values: 5.129981303510836, min values: 1.8006e-06, max values: 40.94, median values: 0.27118, and quantile values: 0.25 0.079186\n0.50 0.271180\n0.75 1.129450\nName: 2473, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2424919227816351, std values: 4.660790079964472, min values: 6.3358e-07, max values: 38.798, median values: 0.17988, and quantile values: 0.25 0.046982\n0.50 0.179880\n0.75 0.699725\nName: 2474, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6223947954094338, std values: 5.305480710221264, min values: 3.3332e-06, max values: 44.318, median values: 0.27143, and quantile values: 0.25 0.072239\n0.50 0.271430\n0.75 0.955050\nName: 2475, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3775655750100628, std values: 4.923233009439799, min values: 4.425e-07, max values: 42.052, median values: 0.18074, and quantile values: 0.25 0.051713\n0.50 0.180740\n0.75 0.758860\nName: 2476, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7678428500880505, std values: 5.180484150293099, min values: 1.4174e-06, max values: 41.534, median values: 0.3181, and quantile values: 0.25 0.077567\n0.50 0.318100\n0.75 1.198900\nName: 2477, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.410687836591195, std values: 4.800533062312663, min values: 1.394e-07, max values: 40.41, median values: 0.16855, and quantile values: 0.25 0.044023\n0.50 0.168550\n0.75 0.753495\nName: 2478, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.481135312183648, std values: 5.445877154941348, min values: 5.5752e-06, max values: 47.077, median values: 0.19007, and quantile values: 0.25 0.053114\n0.50 0.190070\n0.75 0.750945\nName: 2479, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2351542805943396, std values: 4.783850586350948, min values: 1.9801e-06, max values: 39.984, median values: 0.15873, and quantile values: 0.25 0.048369\n0.50 0.158730\n0.75 0.635340\nName: 2480, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7802867171603771, std values: 5.174132534803976, min values: 1.4723e-06, max values: 41.636, median values: 0.32452, and quantile values: 0.25 0.078767\n0.50 0.324520\n0.75 1.261900\nName: 2481, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8013225636031447, std values: 5.366075072281306, min values: 3.3114e-06, max values: 44.513, median values: 0.33135, and quantile values: 0.25 0.089544\n0.50 0.331350\n0.75 1.241800\nName: 2482, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5303082969660378, std values: 4.892957840087397, min values: 1.7892e-06, max values: 39.868, median values: 0.25037, and quantile values: 0.25 0.072817\n0.50 0.250370\n0.75 0.973360\nName: 2483, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4817614062683648, std values: 4.8112993495632965, min values: 3.7527e-07, max values: 38.55, median values: 0.25481, and quantile values: 0.25 0.063504\n0.50 0.254810\n0.75 0.923365\nName: 2484, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5945071849320755, std values: 5.150258281795362, min values: 4.7152e-06, max values: 41.063, median values: 0.24662, and quantile values: 0.25 0.079902\n0.50 0.246620\n0.75 0.913015\nName: 2485, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5833010354773582, std values: 5.064425852329021, min values: 2.6899e-06, max values: 40.032, median values: 0.29051, and quantile values: 0.25 0.066162\n0.50 0.290510\n0.75 1.012340\nName: 2486, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3543170307591195, std values: 4.585551454053065, min values: 1.6455e-06, max values: 38.946, median values: 0.20155, and quantile values: 0.25 0.055892\n0.50 0.201550\n0.75 0.800290\nName: 2487, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4040651059314466, std values: 4.775634661265905, min values: 1.6262e-06, max values: 38.73, median values: 0.20726, and quantile values: 0.25 0.064537\n0.50 0.207260\n0.75 0.795360\nName: 2488, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3957480848632706, std values: 4.509505754372944, min values: 8.9736e-07, max values: 37.902, median values: 0.20747, and quantile values: 0.25 0.062418\n0.50 0.207470\n0.75 0.862695\nName: 2489, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4456684065717484, std values: 4.9306429777020035, min values: 1.6298e-08, max values: 41.278, median values: 0.21063, and quantile values: 0.25 0.056957\n0.50 0.210630\n0.75 0.911725\nName: 2490, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3440902346959243, std values: 4.4824393891832175, min values: 0.0, max values: 36.873, median values: 0.17608, and quantile values: 0.25 0.043006\n0.50 0.176080\n0.75 0.811880\nName: 2491, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4936094775113204, std values: 4.738292871968747, min values: 1.7309e-06, max values: 38.068, median values: 0.24171, and quantile values: 0.25 0.074228\n0.50 0.241710\n0.75 0.963975\nName: 2492, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4490310887132705, std values: 4.850611087975474, min values: 5.6351e-07, max values: 39.169, median values: 0.20982, and quantile values: 0.25 0.064051\n0.50 0.209820\n0.75 0.845235\nName: 2493, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.375517015570063, std values: 4.913638060500939, min values: 7.7314e-07, max values: 40.888, median values: 0.21329, and quantile values: 0.25 0.056208\n0.50 0.213290\n0.75 0.787885\nName: 2494, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3049171420138364, std values: 4.6422451772332645, min values: 1.1188e-06, max values: 39.09, median values: 0.15918, and quantile values: 0.25 0.057455\n0.50 0.159180\n0.75 0.758485\nName: 2495, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5458569127044026, std values: 4.892099102513846, min values: 1.3815e-06, max values: 38.803, median values: 0.24506, and quantile values: 0.25 0.068226\n0.50 0.245060\n0.75 0.993915\nName: 2496, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.226726153834591, std values: 4.599029572936305, min values: 1.431e-06, max values: 38.534, median values: 0.15166, and quantile values: 0.25 0.053491\n0.50 0.151660\n0.75 0.619795\nName: 2497, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8197855765710689, std values: 5.124356958265513, min values: 6.2778e-06, max values: 40.429, median values: 0.34844, and quantile values: 0.25 0.091355\n0.50 0.348440\n0.75 1.219900\nName: 2498, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5868138325484278, std values: 4.8783619152082105, min values: 1.4961e-06, max values: 39.128, median values: 0.26593, and quantile values: 0.25 0.069663\n0.50 0.265930\n0.75 1.062700\nName: 2499, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5379543082584903, std values: 5.1290202830723, min values: 1.3691e-06, max values: 42.823, median values: 0.23011, and quantile values: 0.25 0.058635\n0.50 0.230110\n0.75 0.819870\nName: 2500, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.793027070809434, std values: 5.20319288470684, min values: 3.4086e-06, max values: 40.677, median values: 0.30281, and quantile values: 0.25 0.079752\n0.50 0.302810\n0.75 1.227400\nName: 2501, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.468034007588742, std values: 4.605437804985206, min values: 1.4914e-07, max values: 36.827, median values: 0.23508, and quantile values: 0.25 0.056367\n0.50 0.235080\n0.75 0.902455\nName: 2502, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.515635923554088, std values: 5.0971924934165465, min values: 2.2304e-06, max values: 42.458, median values: 0.21556, and quantile values: 0.25 0.061727\n0.50 0.215560\n0.75 0.871035\nName: 2503, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3106577691238994, std values: 4.503231307861707, min values: 1.231e-06, max values: 38.971, median values: 0.19413, and quantile values: 0.25 0.058906\n0.50 0.194130\n0.75 0.797990\nName: 2504, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5840386468547167, std values: 5.099550850011307, min values: 1.2754e-06, max values: 42.524, median values: 0.25903, and quantile values: 0.25 0.071033\n0.50 0.259030\n0.75 0.992895\nName: 2505, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.500213574089308, std values: 4.8358428547394325, min values: 7.08e-07, max values: 38.901, median values: 0.23619, and quantile values: 0.25 0.067596\n0.50 0.236190\n0.75 0.934010\nName: 2506, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5180834237226415, std values: 5.021190406162141, min values: 1.0757e-06, max values: 41.192, median values: 0.22619, and quantile values: 0.25 0.067310\n0.50 0.226190\n0.75 0.922145\nName: 2507, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.604561828589937, std values: 5.264341612827573, min values: 3.8496e-06, max values: 44.113, median values: 0.25416, and quantile values: 0.25 0.066853\n0.50 0.254160\n0.75 0.978100\nName: 2508, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.501387576922642, std values: 4.9818158848126854, min values: 4.0259e-06, max values: 40.843, median values: 0.22824, and quantile values: 0.25 0.06915\n0.50 0.22824\n0.75 0.87862\nName: 2509, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6606066412342138, std values: 5.131927930135017, min values: 8.5514e-07, max values: 42.313, median values: 0.25211, and quantile values: 0.25 0.068895\n0.50 0.252110\n0.75 1.132350\nName: 2510, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7260294500868554, std values: 5.186577701921916, min values: 7.3491e-07, max values: 42.97, median values: 0.32673, and quantile values: 0.25 0.081871\n0.50 0.326730\n0.75 1.075600\nName: 2511, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4365846560622642, std values: 4.88030455572014, min values: 2.6338e-06, max values: 39.018, median values: 0.22249, and quantile values: 0.25 0.06159\n0.50 0.22249\n0.75 0.84627\nName: 2512, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6906867832220756, std values: 5.123268000906889, min values: 8.7801e-07, max values: 41.532, median values: 0.27555, and quantile values: 0.25 0.068113\n0.50 0.275550\n0.75 1.211700\nName: 2513, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5173531547728303, std values: 5.037299365564206, min values: 8.6738e-07, max values: 42.053, median values: 0.24956, and quantile values: 0.25 0.064706\n0.50 0.249560\n0.75 0.926120\nName: 2514, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4473577832490565, std values: 4.903502614476755, min values: 1.2075e-06, max values: 39.844, median values: 0.21094, and quantile values: 0.25 0.06913\n0.50 0.21094\n0.75 0.79493\nName: 2515, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8028510388433963, std values: 5.3423739199918625, min values: 4.8342e-06, max values: 42.827, median values: 0.30126, and quantile values: 0.25 0.085033\n0.50 0.301260\n0.75 1.185650\nName: 2516, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3353199656394341, std values: 4.9045314002589535, min values: 2.6897e-07, max values: 41.476, median values: 0.18012, and quantile values: 0.25 0.052207\n0.50 0.180120\n0.75 0.680900\nName: 2517, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.49031483549522, std values: 4.851531064269772, min values: 2.104e-07, max values: 39.5, median values: 0.18821, and quantile values: 0.25 0.050643\n0.50 0.188210\n0.75 0.877290\nName: 2518, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4460522134477989, std values: 5.0880996271897505, min values: 2.5066e-06, max values: 41.88, median values: 0.221, and quantile values: 0.25 0.057986\n0.50 0.221000\n0.75 0.822055\nName: 2519, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4392491898013209, std values: 4.938374562580035, min values: 3.2691e-07, max values: 40.952, median values: 0.2033, and quantile values: 0.25 0.054126\n0.50 0.203300\n0.75 0.865865\nName: 2520, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3588764086079244, std values: 4.762858403480527, min values: 2.0105e-07, max values: 38.723, median values: 0.16932, and quantile values: 0.25 0.049612\n0.50 0.169320\n0.75 0.737350\nName: 2521, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.237968871910503, std values: 4.725484269706895, min values: 7.4287e-07, max values: 38.166, median values: 0.15292, and quantile values: 0.25 0.053106\n0.50 0.152920\n0.75 0.647465\nName: 2522, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4774486615792453, std values: 4.750029505231037, min values: 2.284e-06, max values: 39.04, median values: 0.24714, and quantile values: 0.25 0.066719\n0.50 0.247140\n0.75 0.905195\nName: 2523, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4234633972597486, std values: 4.795394570113664, min values: 1.057e-06, max values: 38.259, median values: 0.21995, and quantile values: 0.25 0.070999\n0.50 0.219950\n0.75 0.843085\nName: 2524, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2732142676274214, std values: 4.752846095277929, min values: 1.4502e-07, max values: 39.845, median values: 0.17246, and quantile values: 0.25 0.042410\n0.50 0.172460\n0.75 0.692405\nName: 2525, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.707118341598742, std values: 5.303884641164582, min values: 3.7571e-06, max values: 42.92, median values: 0.27775, and quantile values: 0.25 0.076048\n0.50 0.277750\n0.75 1.084350\nName: 2526, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7001958616000001, std values: 5.14844750630397, min values: 2.8057e-06, max values: 41.441, median values: 0.32476, and quantile values: 0.25 0.078951\n0.50 0.324760\n0.75 1.121950\nName: 2527, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.22526779913522, std values: 5.030548244905453, min values: 1.2413e-06, max values: 43.594, median values: 0.14348, and quantile values: 0.25 0.050877\n0.50 0.143480\n0.75 0.567915\nName: 2528, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.138424387237321, std values: 4.354472777001831, min values: 1.8024e-08, max values: 35.246, median values: 0.1052, and quantile values: 0.25 0.026673\n0.50 0.105200\n0.75 0.529370\nName: 2529, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2779752808175473, std values: 4.794557518204445, min values: 2.194e-07, max values: 39.762, median values: 0.15638, and quantile values: 0.25 0.039805\n0.50 0.156380\n0.75 0.638925\nName: 2530, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5496491453313208, std values: 4.989209752628415, min values: 1.0483e-07, max values: 42.075, median values: 0.23653, and quantile values: 0.25 0.055015\n0.50 0.236530\n0.75 0.966820\nName: 2531, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3332832246748427, std values: 5.016967882160293, min values: 3.6458e-06, max values: 40.479, median values: 0.17196, and quantile values: 0.25 0.046919\n0.50 0.171960\n0.75 0.572385\nName: 2532, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4950173554654087, std values: 4.819697314231031, min values: 1.2218e-06, max values: 38.667, median values: 0.21431, and quantile values: 0.25 0.062161\n0.50 0.214310\n0.75 1.002690\nName: 2533, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5883840662867923, std values: 4.99425804917015, min values: 2.0605e-06, max values: 39.396, median values: 0.25909, and quantile values: 0.25 0.07434\n0.50 0.25909\n0.75 1.02315\nName: 2534, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.415182292053459, std values: 4.693689104151968, min values: 1.7096e-06, max values: 37.923, median values: 0.19695, and quantile values: 0.25 0.06136\n0.50 0.19695\n0.75 0.85230\nName: 2535, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.549158930999371, std values: 4.934328144177023, min values: 1.7716e-06, max values: 39.037, median values: 0.25143, and quantile values: 0.25 0.07540\n0.50 0.25143\n0.75 1.02270\nName: 2536, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.255083367436692, std values: 4.883562623059241, min values: 4.6884e-08, max values: 42.362, median values: 0.16696, and quantile values: 0.25 0.038319\n0.50 0.166960\n0.75 0.598185\nName: 2537, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5626434608308175, std values: 4.899029667458854, min values: 1.2756e-06, max values: 38.606, median values: 0.22752, and quantile values: 0.25 0.07200\n0.50 0.22752\n0.75 1.01232\nName: 2538, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6527598076773584, std values: 5.323705621192204, min values: 2.2272e-06, max values: 45.251, median values: 0.26765, and quantile values: 0.25 0.074723\n0.50 0.267650\n0.75 1.051700\nName: 2539, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4690781499138366, std values: 4.836747554483382, min values: 1.6902e-06, max values: 38.422, median values: 0.2526, and quantile values: 0.25 0.068790\n0.50 0.252600\n0.75 0.914655\nName: 2540, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8560261849113207, std values: 5.213050721956836, min values: 4.9162e-06, max values: 39.845, median values: 0.34485, and quantile values: 0.25 0.082594\n0.50 0.344850\n0.75 1.304850\nName: 2541, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5105688860095599, std values: 4.8318437398648335, min values: 7.9642e-07, max values: 38.378, median values: 0.23389, and quantile values: 0.25 0.072351\n0.50 0.233890\n0.75 0.999775\nName: 2542, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4768917921491822, std values: 4.93384539464024, min values: 1.7012e-07, max values: 40.736, median values: 0.21675, and quantile values: 0.25 0.057265\n0.50 0.216750\n0.75 0.910055\nName: 2543, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6677619941421382, std values: 5.150464466469056, min values: 1.252e-06, max values: 42.804, median values: 0.27981, and quantile values: 0.25 0.080118\n0.50 0.279810\n0.75 1.051550\nName: 2544, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5234534321484277, std values: 4.992618771901011, min values: 1.0357e-06, max values: 41.159, median values: 0.25746, and quantile values: 0.25 0.067472\n0.50 0.257460\n0.75 0.948645\nName: 2545, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5907689756314467, std values: 5.208144122704754, min values: 1.9396e-06, max values: 43.155, median values: 0.25267, and quantile values: 0.25 0.064032\n0.50 0.252670\n0.75 0.990220\nName: 2546, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5230561243150942, std values: 4.823988541785803, min values: 1.771e-06, max values: 37.99, median values: 0.229, and quantile values: 0.25 0.067752\n0.50 0.229000\n0.75 0.945115\nName: 2547, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5031537235798742, std values: 4.991246493192786, min values: 1.9778e-06, max values: 39.989, median values: 0.23948, and quantile values: 0.25 0.073678\n0.50 0.239480\n0.75 0.941925\nName: 2548, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5040380730074214, std values: 4.913385336138249, min values: 3.2818e-07, max values: 40.223, median values: 0.23689, and quantile values: 0.25 0.066636\n0.50 0.236890\n0.75 0.959725\nName: 2549, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5902696757094341, std values: 5.185210958095956, min values: 9.404e-07, max values: 44.175, median values: 0.21011, and quantile values: 0.25 0.062508\n0.50 0.210110\n0.75 0.954715\nName: 2550, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5276308891974844, std values: 4.914744885216211, min values: 1.1228e-06, max values: 38.818, median values: 0.22833, and quantile values: 0.25 0.06470\n0.50 0.22833\n0.75 0.98831\nName: 2551, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6359603534672953, std values: 4.985322068093477, min values: 4.0229e-06, max values: 40.853, median values: 0.26322, and quantile values: 0.25 0.071981\n0.50 0.263220\n0.75 1.026250\nName: 2552, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3832591766583648, std values: 4.900979485176359, min values: 4.2298e-07, max values: 41.16, median values: 0.17758, and quantile values: 0.25 0.060872\n0.50 0.177580\n0.75 0.733050\nName: 2553, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5063309343937108, std values: 4.988347268543622, min values: 1.753e-06, max values: 40.457, median values: 0.24006, and quantile values: 0.25 0.069877\n0.50 0.240060\n0.75 0.904950\nName: 2554, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6071729874132075, std values: 4.998813493049846, min values: 2.6804e-06, max values: 39.187, median values: 0.26111, and quantile values: 0.25 0.073797\n0.50 0.261110\n0.75 1.042550\nName: 2555, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3396371687160378, std values: 4.7572900424470435, min values: 1.2935e-07, max values: 38.192, median values: 0.17586, and quantile values: 0.25 0.044534\n0.50 0.175860\n0.75 0.724675\nName: 2556, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.324108704655189, std values: 4.772743599053376, min values: 2.6345e-08, max values: 39.51, median values: 0.16267, and quantile values: 0.25 0.03917\n0.50 0.16267\n0.75 0.69054\nName: 2557, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2133250615855344, std values: 4.661637224838978, min values: 1.2884e-06, max values: 39.092, median values: 0.142, and quantile values: 0.25 0.046452\n0.50 0.142000\n0.75 0.641615\nName: 2558, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4179267636580628, std values: 4.664880055107851, min values: 1.8332e-08, max values: 37.645, median values: 0.19701, and quantile values: 0.25 0.057997\n0.50 0.197010\n0.75 0.906850\nName: 2559, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4156947635496857, std values: 4.877114549223134, min values: 1.487e-06, max values: 39.381, median values: 0.19007, and quantile values: 0.25 0.063429\n0.50 0.190070\n0.75 0.830995\nName: 2560, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3453909380472326, std values: 4.831080196287423, min values: 3.0071e-07, max values: 40.069, median values: 0.16408, and quantile values: 0.25 0.048985\n0.50 0.164080\n0.75 0.696340\nName: 2561, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4621764140080502, std values: 5.085303060789677, min values: 5.9798e-07, max values: 43.761, median values: 0.21108, and quantile values: 0.25 0.060462\n0.50 0.211080\n0.75 0.866385\nName: 2562, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5020333904767296, std values: 4.837447538620875, min values: 3.4917e-06, max values: 40.236, median values: 0.21929, and quantile values: 0.25 0.057360\n0.50 0.219290\n0.75 0.944035\nName: 2563, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6944018023861636, std values: 5.19067280576043, min values: 2.928e-06, max values: 41.613, median values: 0.27496, and quantile values: 0.25 0.075555\n0.50 0.274960\n0.75 1.197100\nName: 2564, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4626741733484276, std values: 4.68261613105164, min values: 1.1024e-06, max values: 38.293, median values: 0.22002, and quantile values: 0.25 0.073323\n0.50 0.220020\n0.75 0.918950\nName: 2565, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.350963766971698, std values: 4.982270776622846, min values: 3.4822e-06, max values: 41.581, median values: 0.19392, and quantile values: 0.25 0.058229\n0.50 0.193920\n0.75 0.618225\nName: 2566, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6145314077163522, std values: 5.034270556448181, min values: 2.0764e-06, max values: 40.861, median values: 0.27887, and quantile values: 0.25 0.077036\n0.50 0.278870\n0.75 1.058650\nName: 2567, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.565576003125786, std values: 5.041753886301978, min values: 2.0448e-06, max values: 40.815, median values: 0.26441, and quantile values: 0.25 0.076191\n0.50 0.264410\n0.75 1.003350\nName: 2568, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.579473673630547, std values: 4.679347324891175, min values: 2.7327e-08, max values: 36.59, median values: 0.2421, and quantile values: 0.25 0.054348\n0.50 0.242100\n0.75 1.175200\nName: 2569, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5513122192283018, std values: 4.95663212866249, min values: 1.1245e-06, max values: 39.952, median values: 0.2307, and quantile values: 0.25 0.069015\n0.50 0.230700\n0.75 0.956190\nName: 2570, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8606107747088048, std values: 5.513202614204119, min values: 6.7357e-06, max values: 44.05, median values: 0.31556, and quantile values: 0.25 0.095061\n0.50 0.315560\n0.75 1.202800\nName: 2571, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6159213191180501, std values: 5.434322183344185, min values: 5.8257e-07, max values: 49.266, median values: 0.2137, and quantile values: 0.25 0.057906\n0.50 0.213700\n0.75 0.893625\nName: 2572, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.416141486974214, std values: 4.850715571766216, min values: 2.8455e-06, max values: 39.417, median values: 0.22489, and quantile values: 0.25 0.068653\n0.50 0.224890\n0.75 0.816265\nName: 2573, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.794890152930453, std values: 5.590179599029172, min values: 4.3642e-08, max values: 51.133, median values: 0.30076, and quantile values: 0.25 0.076193\n0.50 0.300760\n0.75 1.253400\nName: 2574, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5350266521301885, std values: 4.92180712344663, min values: 2.4981e-06, max values: 38.812, median values: 0.25869, and quantile values: 0.25 0.075248\n0.50 0.258690\n0.75 0.963395\nName: 2575, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.389997437363522, std values: 5.0908847313170495, min values: 1.3782e-06, max values: 43.609, median values: 0.19303, and quantile values: 0.25 0.062109\n0.50 0.193030\n0.75 0.791300\nName: 2576, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.667758474210063, std values: 4.983859955409637, min values: 3.4483e-06, max values: 38.761, median values: 0.28159, and quantile values: 0.25 0.082818\n0.50 0.281590\n0.75 1.189800\nName: 2577, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3682152284716982, std values: 4.975611545860329, min values: 1.5381e-06, max values: 41.565, median values: 0.19131, and quantile values: 0.25 0.058570\n0.50 0.191310\n0.75 0.762035\nName: 2578, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3797834114295595, std values: 5.14074584969347, min values: 1.2527e-06, max values: 44.394, median values: 0.18227, and quantile values: 0.25 0.050064\n0.50 0.182270\n0.75 0.737305\nName: 2579, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4571401690730816, std values: 4.8914575051345, min values: 5.8972e-07, max values: 40.367, median values: 0.22503, and quantile values: 0.25 0.062972\n0.50 0.225030\n0.75 0.904560\nName: 2580, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3986444916130818, std values: 4.898405428038587, min values: 1.8972e-07, max values: 41.414, median values: 0.20016, and quantile values: 0.25 0.050784\n0.50 0.200160\n0.75 0.710575\nName: 2581, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5733819620308176, std values: 5.116720140374109, min values: 5.019e-06, max values: 40.471, median values: 0.25723, and quantile values: 0.25 0.075139\n0.50 0.257230\n0.75 0.869415\nName: 2582, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6204967761832703, std values: 4.9322742639090285, min values: 1.4145e-07, max values: 39.492, median values: 0.20667, and quantile values: 0.25 0.056342\n0.50 0.206670\n0.75 1.006085\nName: 2583, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6224822157056604, std values: 5.218232148961592, min values: 2.5939e-06, max values: 43.22, median values: 0.24538, and quantile values: 0.25 0.082079\n0.50 0.245380\n0.75 1.029400\nName: 2584, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4379450306447799, std values: 4.953323036654022, min values: 3.5632e-07, max values: 41.799, median values: 0.19728, and quantile values: 0.25 0.052326\n0.50 0.197280\n0.75 0.798450\nName: 2585, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3955719012532075, std values: 4.776924171855922, min values: 5.3356e-07, max values: 38.262, median values: 0.19512, and quantile values: 0.25 0.055472\n0.50 0.195120\n0.75 0.842920\nName: 2586, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5633944680622645, std values: 5.071633527216566, min values: 6.4278e-06, max values: 42.176, median values: 0.23794, and quantile values: 0.25 0.06439\n0.50 0.23794\n0.75 0.90378\nName: 2587, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5964167391408806, std values: 5.017908367872935, min values: 1.578e-06, max values: 40.422, median values: 0.2755, and quantile values: 0.25 0.068972\n0.50 0.275500\n0.75 1.061150\nName: 2588, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5164071616503145, std values: 4.749616262572047, min values: 2.1263e-06, max values: 39.332, median values: 0.27481, and quantile values: 0.25 0.067254\n0.50 0.274810\n0.75 0.966395\nName: 2589, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4881740625077986, std values: 5.019593966944076, min values: 3.3464e-07, max values: 42.065, median values: 0.22479, and quantile values: 0.25 0.058716\n0.50 0.224790\n0.75 0.866980\nName: 2590, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4349809928167294, std values: 4.837762870160634, min values: 8.8166e-07, max values: 39.518, median values: 0.21088, and quantile values: 0.25 0.063929\n0.50 0.210880\n0.75 0.848335\nName: 2591, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.560774176237107, std values: 5.023392347283553, min values: 4.954e-06, max values: 40.935, median values: 0.23653, and quantile values: 0.25 0.067721\n0.50 0.236530\n0.75 0.961725\nName: 2592, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.539902569651195, std values: 4.976500200080656, min values: 2.1424e-07, max values: 41.167, median values: 0.21128, and quantile values: 0.25 0.060877\n0.50 0.211280\n0.75 0.940390\nName: 2593, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5014222130226418, std values: 5.057550023724463, min values: 2.7983e-06, max values: 41.47, median values: 0.24147, and quantile values: 0.25 0.074808\n0.50 0.241470\n0.75 0.905640\nName: 2594, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5624342281371069, std values: 5.017315663058405, min values: 1.9926e-06, max values: 40.064, median values: 0.24685, and quantile values: 0.25 0.073923\n0.50 0.246850\n0.75 0.985805\nName: 2595, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.446659705891107, std values: 4.931293575724069, min values: 2.1086e-08, max values: 41.059, median values: 0.18968, and quantile values: 0.25 0.050230\n0.50 0.189680\n0.75 0.813505\nName: 2596, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5936745864031447, std values: 5.1526137399710095, min values: 2.1219e-06, max values: 43.006, median values: 0.2595, and quantile values: 0.25 0.074327\n0.50 0.259500\n0.75 1.005680\nName: 2597, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3178369066019497, std values: 4.533753112588321, min values: 1.2737e-07, max values: 36.408, median values: 0.16302, and quantile values: 0.25 0.042312\n0.50 0.163020\n0.75 0.793170\nName: 2598, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2426684214132078, std values: 4.636884912072411, min values: 1.8494e-06, max values: 38.387, median values: 0.169, and quantile values: 0.25 0.048792\n0.50 0.169000\n0.75 0.700835\nName: 2599, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1981361397929557, std values: 4.519404113003759, min values: 2.8898e-07, max values: 37.584, median values: 0.12406, and quantile values: 0.25 0.039571\n0.50 0.124060\n0.75 0.612635\nName: 2600, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4903385410127044, std values: 5.054033105343358, min values: 6.1812e-07, max values: 43.285, median values: 0.20494, and quantile values: 0.25 0.062473\n0.50 0.204940\n0.75 0.900695\nName: 2601, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7386332954685535, std values: 5.422622031416549, min values: 1.1589e-06, max values: 47.232, median values: 0.28779, and quantile values: 0.25 0.081559\n0.50 0.287790\n0.75 1.137400\nName: 2602, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4102285018128302, std values: 4.808937620581363, min values: 3.3474e-07, max values: 39.263, median values: 0.17558, and quantile values: 0.25 0.052114\n0.50 0.175580\n0.75 0.822690\nName: 2603, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3938165810427232, std values: 5.001203569407279, min values: 1.852e-08, max values: 43.861, median values: 0.14345, and quantile values: 0.25 0.031098\n0.50 0.143450\n0.75 0.694105\nName: 2604, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3897104409503147, std values: 4.773738425128012, min values: 1.2369e-06, max values: 39.255, median values: 0.20217, and quantile values: 0.25 0.056244\n0.50 0.202170\n0.75 0.837605\nName: 2605, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.702302598152201, std values: 5.168834384279544, min values: 4.4359e-06, max values: 40.772, median values: 0.30012, and quantile values: 0.25 0.093396\n0.50 0.300120\n0.75 1.067800\nName: 2606, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4799060117207548, std values: 4.764986967757782, min values: 2.7395e-06, max values: 39.741, median values: 0.21093, and quantile values: 0.25 0.066603\n0.50 0.210930\n0.75 0.932790\nName: 2607, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4645347862186793, std values: 4.905848594032987, min values: 6.4277e-07, max values: 39.769, median values: 0.23925, and quantile values: 0.25 0.060701\n0.50 0.239250\n0.75 0.907190\nName: 2608, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.683369160135849, std values: 5.027532291940547, min values: 1.0836e-06, max values: 40.489, median values: 0.26989, and quantile values: 0.25 0.076128\n0.50 0.269890\n0.75 1.187200\nName: 2609, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6855262407415097, std values: 5.2703490067521646, min values: 7.3209e-06, max values: 41.426, median values: 0.26606, and quantile values: 0.25 0.080422\n0.50 0.266060\n0.75 1.003015\nName: 2610, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4870323144975475, std values: 4.67612674190534, min values: 2.7491e-07, max values: 37.096, median values: 0.20314, and quantile values: 0.25 0.063837\n0.50 0.203140\n0.75 0.877945\nName: 2611, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6121594565496855, std values: 5.000836990468776, min values: 1.9694e-06, max values: 39.46, median values: 0.24738, and quantile values: 0.25 0.075095\n0.50 0.247380\n0.75 1.026495\nName: 2612, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4535439957825158, std values: 5.151712623443875, min values: 8.0442e-07, max values: 45.129, median values: 0.19997, and quantile values: 0.25 0.058154\n0.50 0.199970\n0.75 0.793650\nName: 2613, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7277689432867924, std values: 5.117564636177913, min values: 2.4436e-06, max values: 40.461, median values: 0.2796, and quantile values: 0.25 0.077378\n0.50 0.279600\n0.75 1.245350\nName: 2614, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.509200907863522, std values: 5.093503407240886, min values: 1.0528e-06, max values: 42.592, median values: 0.21452, and quantile values: 0.25 0.054271\n0.50 0.214520\n0.75 0.919015\nName: 2615, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4847675410194967, std values: 4.8408067009359455, min values: 3.953e-06, max values: 40.681, median values: 0.20797, and quantile values: 0.25 0.05751\n0.50 0.20797\n0.75 0.87271\nName: 2616, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3453421229176101, std values: 4.915759392748145, min values: 1.3901e-06, max values: 40.209, median values: 0.1931, and quantile values: 0.25 0.050793\n0.50 0.193100\n0.75 0.707295\nName: 2617, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6373090932886791, std values: 4.988910681853627, min values: 1.1145e-06, max values: 40.16, median values: 0.27847, and quantile values: 0.25 0.075046\n0.50 0.278470\n0.75 1.138450\nName: 2618, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.549642186754717, std values: 5.060132761313639, min values: 1.1745e-06, max values: 42.646, median values: 0.24581, and quantile values: 0.25 0.065634\n0.50 0.245810\n0.75 0.913400\nName: 2619, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.267565590768673, std values: 4.396299463856013, min values: 3.0789e-08, max values: 36.868, median values: 0.19114, and quantile values: 0.25 0.047006\n0.50 0.191140\n0.75 0.783525\nName: 2620, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4255195659045912, std values: 4.852319893493772, min values: 4.6713e-07, max values: 39.686, median values: 0.20399, and quantile values: 0.25 0.055698\n0.50 0.203990\n0.75 0.839230\nName: 2621, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3289345339101886, std values: 4.881392604236371, min values: 6.2462e-07, max values: 40.318, median values: 0.19556, and quantile values: 0.25 0.055599\n0.50 0.195560\n0.75 0.709645\nName: 2622, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7335103285792453, std values: 5.2612459674201615, min values: 2.0205e-06, max values: 43.467, median values: 0.29564, and quantile values: 0.25 0.089866\n0.50 0.295640\n0.75 1.146200\nName: 2623, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.530081766930566, std values: 4.846847310542629, min values: 3.0616e-07, max values: 38.307, median values: 0.23457, and quantile values: 0.25 0.058735\n0.50 0.234570\n0.75 0.936745\nName: 2624, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.576318959488679, std values: 5.1989028529450305, min values: 1.2326e-06, max values: 44.812, median values: 0.23933, and quantile values: 0.25 0.072868\n0.50 0.239330\n0.75 0.986670\nName: 2625, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4705708038830188, std values: 4.875478288016794, min values: 2.3145e-06, max values: 39.116, median values: 0.24817, and quantile values: 0.25 0.071198\n0.50 0.248170\n0.75 0.875595\nName: 2626, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2601655171691823, std values: 4.675939293263619, min values: 1.301e-06, max values: 38.751, median values: 0.19183, and quantile values: 0.25 0.050256\n0.50 0.191830\n0.75 0.686205\nName: 2627, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4969851253830186, std values: 5.047470604603785, min values: 2.5821e-06, max values: 40.63, median values: 0.21462, and quantile values: 0.25 0.060177\n0.50 0.214620\n0.75 0.868335\nName: 2628, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5428481241578618, std values: 4.957612031754568, min values: 1.5314e-06, max values: 39.803, median values: 0.24383, and quantile values: 0.25 0.076412\n0.50 0.243830\n0.75 0.954570\nName: 2629, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5590678201497485, std values: 4.826083371579273, min values: 8.6931e-07, max values: 37.75, median values: 0.23336, and quantile values: 0.25 0.061625\n0.50 0.233360\n0.75 1.017785\nName: 2630, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.335722222505459, std values: 4.770199668330325, min values: 1.9232e-08, max values: 39.826, median values: 0.15075, and quantile values: 0.25 0.037180\n0.50 0.150750\n0.75 0.661155\nName: 2631, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.546790054345283, std values: 4.8674136777101955, min values: 1.1619e-06, max values: 38.869, median values: 0.2537, and quantile values: 0.25 0.069599\n0.50 0.253700\n0.75 0.974035\nName: 2632, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4837234734238993, std values: 4.86446270713386, min values: 1.8964e-06, max values: 39.05, median values: 0.20039, and quantile values: 0.25 0.062647\n0.50 0.200390\n0.75 0.891550\nName: 2633, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4312036591232706, std values: 4.981204096989781, min values: 3.72e-06, max values: 39.849, median values: 0.23459, and quantile values: 0.25 0.05455\n0.50 0.23459\n0.75 0.73334\nName: 2634, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6842473969567295, std values: 5.017278319226795, min values: 4.0192e-07, max values: 41.066, median values: 0.29715, and quantile values: 0.25 0.073746\n0.50 0.297150\n0.75 1.107150\nName: 2635, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4617588110880506, std values: 5.015265007619167, min values: 1.4836e-06, max values: 40.566, median values: 0.20107, and quantile values: 0.25 0.062825\n0.50 0.201070\n0.75 0.881245\nName: 2636, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4215408237150944, std values: 4.643915282299721, min values: 3.543e-06, max values: 40.018, median values: 0.23874, and quantile values: 0.25 0.067531\n0.50 0.238740\n0.75 0.868800\nName: 2637, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6438275098396224, std values: 5.001019957673098, min values: 1.7263e-06, max values: 39.211, median values: 0.26679, and quantile values: 0.25 0.074775\n0.50 0.266790\n0.75 1.138350\nName: 2638, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.44101150772122, std values: 4.794564206628017, min values: 6.6274e-08, max values: 38.048, median values: 0.20638, and quantile values: 0.25 0.056868\n0.50 0.206380\n0.75 0.844490\nName: 2639, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4941619068592453, std values: 4.964988759245329, min values: 3.8802e-07, max values: 40.963, median values: 0.2244, and quantile values: 0.25 0.058302\n0.50 0.224400\n0.75 0.879780\nName: 2640, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4559559757163523, std values: 4.944943897324806, min values: 1.077e-06, max values: 40.607, median values: 0.20089, and quantile values: 0.25 0.059441\n0.50 0.200890\n0.75 0.893780\nName: 2641, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.510407561574151, std values: 4.897732317591833, min values: 5.0749e-07, max values: 40.153, median values: 0.2127, and quantile values: 0.25 0.061250\n0.50 0.212700\n0.75 0.967495\nName: 2642, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2902624281232706, std values: 4.632879197431219, min values: 1.5342e-06, max values: 38.465, median values: 0.19412, and quantile values: 0.25 0.060938\n0.50 0.194120\n0.75 0.690120\nName: 2643, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5183143592091761, std values: 4.870210817717297, min values: 1.8266e-08, max values: 40.57, median values: 0.20692, and quantile values: 0.25 0.046318\n0.50 0.206920\n0.75 0.842380\nName: 2644, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.386859582081761, std values: 4.7040177060779165, min values: 1.0301e-06, max values: 37.659, median values: 0.20939, and quantile values: 0.25 0.057391\n0.50 0.209390\n0.75 0.792850\nName: 2645, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3127782218810693, std values: 4.827572204893937, min values: 5.5339e-07, max values: 39.178, median values: 0.15915, and quantile values: 0.25 0.046912\n0.50 0.159150\n0.75 0.672805\nName: 2646, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3521198792690627, std values: 5.023034666179931, min values: 6.8181e-08, max values: 43.619, median values: 0.17667, and quantile values: 0.25 0.046873\n0.50 0.176670\n0.75 0.729430\nName: 2647, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.549838366218805, std values: 4.979238811159836, min values: 7.7389e-07, max values: 40.737, median values: 0.21844, and quantile values: 0.25 0.065312\n0.50 0.218440\n0.75 1.003395\nName: 2648, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3528677871296102, std values: 4.798678107798457, min values: 1.5368e-08, max values: 39.792, median values: 0.19712, and quantile values: 0.25 0.043360\n0.50 0.197120\n0.75 0.780225\nName: 2649, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.622405403337107, std values: 4.846549097459195, min values: 2.2681e-06, max values: 39.403, median values: 0.26732, and quantile values: 0.25 0.074182\n0.50 0.267320\n0.75 1.123950\nName: 2650, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4126105584046857, std values: 4.662009465688859, min values: 3.1405e-08, max values: 36.625, median values: 0.20499, and quantile values: 0.25 0.049810\n0.50 0.204990\n0.75 0.787325\nName: 2651, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4405044528629558, std values: 4.660167663848552, min values: 3.5971e-07, max values: 38.181, median values: 0.23793, and quantile values: 0.25 0.06311\n0.50 0.23793\n0.75 0.93675\nName: 2652, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.507037819001887, std values: 5.06858118405988, min values: 2.8987e-06, max values: 40.601, median values: 0.23519, and quantile values: 0.25 0.067157\n0.50 0.235190\n0.75 0.852600\nName: 2653, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.35387862836283, std values: 4.823264458549972, min values: 4.2482e-07, max values: 40.417, median values: 0.1656, and quantile values: 0.25 0.051687\n0.50 0.165600\n0.75 0.699425\nName: 2654, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1492908339825159, std values: 4.5641137312740785, min values: 2.9132e-07, max values: 37.337, median values: 0.12987, and quantile values: 0.25 0.037831\n0.50 0.129870\n0.75 0.585170\nName: 2655, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.568024979591195, std values: 4.845093056885324, min values: 2.5861e-06, max values: 38.757, median values: 0.27142, and quantile values: 0.25 0.074167\n0.50 0.271420\n0.75 1.058600\nName: 2656, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4447592841053711, std values: 5.0324707157874675, min values: 7.6654e-08, max values: 42.985, median values: 0.19386, and quantile values: 0.25 0.05041\n0.50 0.19386\n0.75 0.84182\nName: 2657, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4034839212194088, std values: 4.829809901981516, min values: 1.8986e-08, max values: 39.379, median values: 0.18328, and quantile values: 0.25 0.045764\n0.50 0.183280\n0.75 0.804795\nName: 2658, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3010498877830818, std values: 4.6957125177678325, min values: 3.2701e-07, max values: 37.501, median values: 0.17403, and quantile values: 0.25 0.047324\n0.50 0.174030\n0.75 0.676110\nName: 2659, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4303207401062894, std values: 4.772313985351286, min values: 1.6211e-06, max values: 38.793, median values: 0.23182, and quantile values: 0.25 0.061882\n0.50 0.231820\n0.75 0.826640\nName: 2660, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.460739740052201, std values: 4.917583230273889, min values: 1.6882e-06, max values: 39.336, median values: 0.23025, and quantile values: 0.25 0.060930\n0.50 0.230250\n0.75 0.911085\nName: 2661, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4770532580968554, std values: 4.88209787886039, min values: 3.5447e-06, max values: 40.589, median values: 0.22381, and quantile values: 0.25 0.066679\n0.50 0.223810\n0.75 0.868805\nName: 2662, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5813795388132075, std values: 5.043763002784159, min values: 4.827e-06, max values: 40.489, median values: 0.24483, and quantile values: 0.25 0.071785\n0.50 0.244830\n0.75 0.963125\nName: 2663, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.327652745404151, std values: 4.700388592888416, min values: 1.5427e-07, max values: 37.958, median values: 0.14938, and quantile values: 0.25 0.041808\n0.50 0.149380\n0.75 0.743920\nName: 2664, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3879497000929686, std values: 4.935950006655421, min values: 1.7238e-08, max values: 43.643, median values: 0.1659, and quantile values: 0.25 0.034839\n0.50 0.165900\n0.75 0.736705\nName: 2665, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.573056719558239, std values: 4.90580559387758, min values: 6.4896e-07, max values: 38.84, median values: 0.26097, and quantile values: 0.25 0.062324\n0.50 0.260970\n0.75 1.031400\nName: 2666, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5569286039477988, std values: 5.009933589998272, min values: 1.5246e-06, max values: 40.687, median values: 0.25262, and quantile values: 0.25 0.074427\n0.50 0.252620\n0.75 0.997140\nName: 2667, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.456288846116981, std values: 4.914344492692938, min values: 1.8752e-06, max values: 39.261, median values: 0.21167, and quantile values: 0.25 0.067707\n0.50 0.211670\n0.75 0.893755\nName: 2668, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5933673804786164, std values: 4.9213119214564305, min values: 1.2287e-06, max values: 38.474, median values: 0.29586, and quantile values: 0.25 0.075565\n0.50 0.295860\n0.75 1.043955\nName: 2669, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4499913700874276, std values: 4.943280472353386, min values: 2.1061e-08, max values: 41.37, median values: 0.17897, and quantile values: 0.25 0.051056\n0.50 0.178970\n0.75 0.827365\nName: 2670, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.502502322354654, std values: 5.2686629082470064, min values: 6.3189e-07, max values: 46.757, median values: 0.22158, and quantile values: 0.25 0.057387\n0.50 0.221580\n0.75 0.947685\nName: 2671, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4473824492408804, std values: 4.972163077438731, min values: 2.2351e-06, max values: 39.976, median values: 0.22874, and quantile values: 0.25 0.066149\n0.50 0.228740\n0.75 0.838905\nName: 2672, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.425932170990566, std values: 5.042658078274691, min values: 8.472e-07, max values: 43.091, median values: 0.19254, and quantile values: 0.25 0.060302\n0.50 0.192540\n0.75 0.826745\nName: 2673, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3815139299320753, std values: 4.746302105479647, min values: 1.2803e-06, max values: 38.647, median values: 0.18207, and quantile values: 0.25 0.053514\n0.50 0.182070\n0.75 0.796165\nName: 2674, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5882753928515976, std values: 5.190335061370864, min values: 2.5304e-08, max values: 45.983, median values: 0.20864, and quantile values: 0.25 0.04559\n0.50 0.20864\n0.75 0.90936\nName: 2675, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4690525847069182, std values: 4.918954155072104, min values: 1.1218e-06, max values: 38.933, median values: 0.21179, and quantile values: 0.25 0.055954\n0.50 0.211790\n0.75 0.841045\nName: 2676, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.524598040374843, std values: 5.247139097132024, min values: 1.2486e-06, max values: 45.113, median values: 0.2453, and quantile values: 0.25 0.067137\n0.50 0.245300\n0.75 0.905005\nName: 2677, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6595006379194965, std values: 4.96108728724278, min values: 1.2384e-06, max values: 39.035, median values: 0.28052, and quantile values: 0.25 0.081619\n0.50 0.280520\n0.75 1.165900\nName: 2678, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3233508148333333, std values: 4.694571212701575, min values: 2.2706e-06, max values: 39.926, median values: 0.20369, and quantile values: 0.25 0.050412\n0.50 0.203690\n0.75 0.759790\nName: 2679, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.514813245101258, std values: 4.996761558022477, min values: 1.4533e-06, max values: 40.526, median values: 0.22825, and quantile values: 0.25 0.062031\n0.50 0.228250\n0.75 0.874665\nName: 2680, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4414161400301886, std values: 4.733169812692095, min values: 1.3508e-06, max values: 39.161, median values: 0.22957, and quantile values: 0.25 0.066387\n0.50 0.229570\n0.75 0.862650\nName: 2681, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3121678041267926, std values: 5.030805083830055, min values: 8.8386e-07, max values: 43.394, median values: 0.16432, and quantile values: 0.25 0.052558\n0.50 0.164320\n0.75 0.682170\nName: 2682, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5554304845555345, std values: 4.943709256286356, min values: 8.1793e-07, max values: 39.531, median values: 0.23259, and quantile values: 0.25 0.061265\n0.50 0.232590\n0.75 0.933590\nName: 2683, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.346290008572327, std values: 4.740954205673929, min values: 1.5919e-06, max values: 39.276, median values: 0.20261, and quantile values: 0.25 0.057452\n0.50 0.202610\n0.75 0.766500\nName: 2684, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5509223645128238, std values: 4.696406632368013, min values: 2.9639e-08, max values: 37.199, median values: 0.21909, and quantile values: 0.25 0.054467\n0.50 0.219090\n0.75 1.066150\nName: 2685, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6743727453591195, std values: 5.099968006845248, min values: 3.9227e-06, max values: 40.471, median values: 0.27731, and quantile values: 0.25 0.082493\n0.50 0.277310\n0.75 1.074950\nName: 2686, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3880026335742137, std values: 4.954053454764363, min values: 2.0403e-06, max values: 39.853, median values: 0.17758, and quantile values: 0.25 0.060044\n0.50 0.177580\n0.75 0.767875\nName: 2687, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5266512407144655, std values: 4.71913615690456, min values: 1.785e-06, max values: 39.562, median values: 0.24126, and quantile values: 0.25 0.067617\n0.50 0.241260\n0.75 1.034800\nName: 2688, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3777621467003143, std values: 4.750124184846979, min values: 8.5925e-07, max values: 38.4, median values: 0.19653, and quantile values: 0.25 0.055156\n0.50 0.196530\n0.75 0.786775\nName: 2689, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5302803135452832, std values: 4.960079787376556, min values: 2.0602e-06, max values: 39.568, median values: 0.25696, and quantile values: 0.25 0.069908\n0.50 0.256960\n0.75 0.928540\nName: 2690, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5374958833237107, std values: 5.063567956811349, min values: 6.8987e-07, max values: 42.633, median values: 0.21227, and quantile values: 0.25 0.058836\n0.50 0.212270\n0.75 0.898380\nName: 2691, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5460715626467296, std values: 5.117800030426277, min values: 7.5713e-07, max values: 42.247, median values: 0.22413, and quantile values: 0.25 0.060975\n0.50 0.224130\n0.75 0.954700\nName: 2692, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3446731465213837, std values: 4.824881200823479, min values: 6.259e-07, max values: 39.747, median values: 0.16414, and quantile values: 0.25 0.042368\n0.50 0.164140\n0.75 0.795310\nName: 2693, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6144322614754087, std values: 5.100750010490921, min values: 3.6176e-07, max values: 43.733, median values: 0.21271, and quantile values: 0.25 0.05894\n0.50 0.21271\n0.75 1.05250\nName: 2694, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3278676766509434, std values: 4.851536125004287, min values: 1.698e-06, max values: 39.29, median values: 0.17953, and quantile values: 0.25 0.051089\n0.50 0.179530\n0.75 0.718845\nName: 2695, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4481039850490567, std values: 5.001508898781141, min values: 1.6454e-06, max values: 41.345, median values: 0.21334, and quantile values: 0.25 0.059110\n0.50 0.213340\n0.75 0.839565\nName: 2696, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3291976065930817, std values: 4.650437362759937, min values: 4.1106e-06, max values: 39.87, median values: 0.17811, and quantile values: 0.25 0.051587\n0.50 0.178110\n0.75 0.670595\nName: 2697, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1527856948698112, std values: 4.513030087934832, min values: 2.7461e-06, max values: 40.387, median values: 0.15393, and quantile values: 0.25 0.050155\n0.50 0.153930\n0.75 0.537560\nName: 2698, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1394690624194967, std values: 4.522263737301012, min values: 3.5012e-06, max values: 40.813, median values: 0.13324, and quantile values: 0.25 0.044066\n0.50 0.133240\n0.75 0.470670\nName: 2699, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5129466286942768, std values: 4.997555055703933, min values: 2.4499e-07, max values: 42.073, median values: 0.20248, and quantile values: 0.25 0.057165\n0.50 0.202480\n0.75 0.913070\nName: 2700, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.624327663178616, std values: 4.917938325167232, min values: 2.0183e-06, max values: 38.832, median values: 0.2968, and quantile values: 0.25 0.073122\n0.50 0.296800\n0.75 1.072100\nName: 2701, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.695519461950944, std values: 5.023808383936354, min values: 2.1116e-06, max values: 39.159, median values: 0.28294, and quantile values: 0.25 0.079243\n0.50 0.282940\n0.75 1.173350\nName: 2702, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4753715145672954, std values: 4.981661306654741, min values: 1.3988e-06, max values: 40.056, median values: 0.2091, and quantile values: 0.25 0.067310\n0.50 0.209100\n0.75 0.901985\nName: 2703, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5542265678061007, std values: 4.921665179669825, min values: 5.1297e-07, max values: 39.438, median values: 0.23963, and quantile values: 0.25 0.060313\n0.50 0.239630\n0.75 1.021600\nName: 2704, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4209030532284905, std values: 4.655042959234838, min values: 2.4393e-07, max values: 38.038, median values: 0.20559, and quantile values: 0.25 0.057353\n0.50 0.205590\n0.75 0.879800\nName: 2705, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1518083231736165, std values: 4.429277071328865, min values: 2.0385e-08, max values: 36.52, median values: 0.13491, and quantile values: 0.25 0.036233\n0.50 0.134910\n0.75 0.563330\nName: 2706, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3870716842522013, std values: 4.7487427826191055, min values: 2.9013e-06, max values: 39.867, median values: 0.19763, and quantile values: 0.25 0.06104\n0.50 0.19763\n0.75 0.76923\nName: 2707, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6745565004201257, std values: 4.915155112756924, min values: 2.9818e-06, max values: 39.418, median values: 0.28897, and quantile values: 0.25 0.077967\n0.50 0.288970\n0.75 1.130700\nName: 2708, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4556621445270441, std values: 4.922911365684784, min values: 1.3433e-06, max values: 39.342, median values: 0.20555, and quantile values: 0.25 0.064055\n0.50 0.205550\n0.75 0.873770\nName: 2709, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.41179459407434, std values: 4.786051860300055, min values: 9.1642e-07, max values: 38.785, median values: 0.19181, and quantile values: 0.25 0.054889\n0.50 0.191810\n0.75 0.795400\nName: 2710, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5367467485754716, std values: 4.926823062867126, min values: 2.3073e-06, max values: 39.052, median values: 0.25329, and quantile values: 0.25 0.06887\n0.50 0.25329\n0.75 1.00860\nName: 2711, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4162812766968556, std values: 5.054590888091934, min values: 2.3797e-06, max values: 41.362, median values: 0.21029, and quantile values: 0.25 0.060911\n0.50 0.210290\n0.75 0.840875\nName: 2712, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5338099400314462, std values: 4.884590983497572, min values: 3.6097e-06, max values: 40.3, median values: 0.22983, and quantile values: 0.25 0.071575\n0.50 0.229830\n0.75 0.980400\nName: 2713, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4275046843250314, std values: 4.631889845406615, min values: 4.9838e-07, max values: 38.507, median values: 0.22143, and quantile values: 0.25 0.062112\n0.50 0.221430\n0.75 0.867535\nName: 2714, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.427725964362629, std values: 4.856940594971722, min values: 2.6688e-08, max values: 40.596, median values: 0.18976, and quantile values: 0.25 0.044636\n0.50 0.189760\n0.75 0.849670\nName: 2715, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3116397610125785, std values: 4.686426557862033, min values: 1.0552e-06, max values: 38.05, median values: 0.17079, and quantile values: 0.25 0.047863\n0.50 0.170790\n0.75 0.701465\nName: 2716, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4970131908081887, std values: 4.6820543143354785, min values: 1.9596e-08, max values: 36.892, median values: 0.20621, and quantile values: 0.25 0.038946\n0.50 0.206210\n0.75 0.889505\nName: 2717, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5690310124886793, std values: 4.832511990530457, min values: 5.8668e-06, max values: 40.087, median values: 0.24647, and quantile values: 0.25 0.079954\n0.50 0.246470\n0.75 0.927455\nName: 2718, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5052692404389938, std values: 5.075244810016538, min values: 2.5779e-06, max values: 40.538, median values: 0.23179, and quantile values: 0.25 0.067755\n0.50 0.231790\n0.75 0.858035\nName: 2719, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.434048035315849, std values: 4.974590052040075, min values: 9.3612e-07, max values: 41.886, median values: 0.2092, and quantile values: 0.25 0.061870\n0.50 0.209200\n0.75 0.833545\nName: 2720, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.60660418537, std values: 4.957470600377129, min values: 8.8313e-07, max values: 38.836, median values: 0.24386, and quantile values: 0.25 0.06921\n0.50 0.24386\n0.75 1.11800\nName: 2721, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3132524374044023, std values: 4.504328965466115, min values: 1.9021e-06, max values: 39.271, median values: 0.18159, and quantile values: 0.25 0.056458\n0.50 0.181590\n0.75 0.756255\nName: 2722, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7264075740232707, std values: 5.103097839538655, min values: 4.4585e-06, max values: 39.777, median values: 0.28291, and quantile values: 0.25 0.088871\n0.50 0.282910\n0.75 1.133200\nName: 2723, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.444830151108396, std values: 4.846074625991048, min values: 1.401e-08, max values: 40.655, median values: 0.17066, and quantile values: 0.25 0.042280\n0.50 0.170660\n0.75 0.753245\nName: 2724, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6809678607408804, std values: 5.123600737771652, min values: 2.151e-06, max values: 40.871, median values: 0.28799, and quantile values: 0.25 0.079529\n0.50 0.287990\n0.75 1.150600\nName: 2725, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6914715693440252, std values: 5.9410182019881965, min values: 1.0951e-06, max values: 57.55, median values: 0.22477, and quantile values: 0.25 0.073969\n0.50 0.224770\n0.75 1.005620\nName: 2726, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4758649144327045, std values: 4.833928925664639, min values: 1.8877e-06, max values: 39.412, median values: 0.24303, and quantile values: 0.25 0.058312\n0.50 0.243030\n0.75 0.848555\nName: 2727, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4512825114301573, std values: 4.815306048789453, min values: 3.6895e-08, max values: 38.977, median values: 0.2163, and quantile values: 0.25 0.053997\n0.50 0.216300\n0.75 0.923990\nName: 2728, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5673677222308178, std values: 5.040799319888454, min values: 2.8615e-06, max values: 39.911, median values: 0.27188, and quantile values: 0.25 0.062114\n0.50 0.271880\n0.75 1.043245\nName: 2729, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.361876153241698, std values: 4.856113742134745, min values: 2.6477e-07, max values: 40.702, median values: 0.15882, and quantile values: 0.25 0.041093\n0.50 0.158820\n0.75 0.706600\nName: 2730, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.384134374887421, std values: 4.721822945608326, min values: 5.977e-07, max values: 37.368, median values: 0.18134, and quantile values: 0.25 0.051385\n0.50 0.181340\n0.75 0.769910\nName: 2731, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5544915868144655, std values: 5.023610197759385, min values: 5.5986e-06, max values: 40.544, median values: 0.27728, and quantile values: 0.25 0.072044\n0.50 0.277280\n0.75 0.863855\nName: 2732, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3093900300471382, std values: 4.561131819872233, min values: 1.4635e-08, max values: 36.769, median values: 0.18386, and quantile values: 0.25 0.046641\n0.50 0.183860\n0.75 0.698465\nName: 2733, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.302346238871321, std values: 4.491301310387702, min values: 5.7564e-07, max values: 38.419, median values: 0.19465, and quantile values: 0.25 0.049656\n0.50 0.194650\n0.75 0.738350\nName: 2734, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2729494621668553, std values: 4.6688599322242545, min values: 1.0053e-07, max values: 38.038, median values: 0.15933, and quantile values: 0.25 0.046755\n0.50 0.159330\n0.75 0.696915\nName: 2735, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6751187132289311, std values: 5.065407480136868, min values: 1.853e-06, max values: 39.944, median values: 0.26909, and quantile values: 0.25 0.072405\n0.50 0.269090\n0.75 1.143250\nName: 2736, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2720293158245282, std values: 4.494767298312638, min values: 1.0775e-06, max values: 37.922, median values: 0.19129, and quantile values: 0.25 0.063201\n0.50 0.191290\n0.75 0.720105\nName: 2737, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6864102659320757, std values: 5.098476783609565, min values: 5.2141e-06, max values: 40.027, median values: 0.27816, and quantile values: 0.25 0.087827\n0.50 0.278160\n0.75 1.009840\nName: 2738, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9491672927069181, std values: 5.375864819257969, min values: 5.8254e-06, max values: 41.829, median values: 0.36538, and quantile values: 0.25 0.104131\n0.50 0.365380\n0.75 1.293000\nName: 2739, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4322033033069184, std values: 5.005382460839109, min values: 1.6687e-06, max values: 41.223, median values: 0.18391, and quantile values: 0.25 0.051983\n0.50 0.183910\n0.75 0.841110\nName: 2740, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4922255120371068, std values: 5.03541785073181, min values: 1.3092e-06, max values: 42.313, median values: 0.2333, and quantile values: 0.25 0.06887\n0.50 0.23330\n0.75 0.90491\nName: 2741, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7635664817805032, std values: 5.092332108621817, min values: 4.5227e-06, max values: 39.73, median values: 0.29644, and quantile values: 0.25 0.087311\n0.50 0.296440\n0.75 1.232850\nName: 2742, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.546209906185283, std values: 4.8701084005767745, min values: 2.3333e-07, max values: 39.897, median values: 0.24243, and quantile values: 0.25 0.061460\n0.50 0.242430\n0.75 0.938525\nName: 2743, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6190423405069183, std values: 5.100794640869204, min values: 1.3159e-06, max values: 41.735, median values: 0.27628, and quantile values: 0.25 0.071365\n0.50 0.276280\n0.75 0.988000\nName: 2744, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.435089948763522, std values: 4.89816628531749, min values: 2.8614e-06, max values: 39.448, median values: 0.19297, and quantile values: 0.25 0.063292\n0.50 0.192970\n0.75 0.823240\nName: 2745, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6577251615044024, std values: 5.0281687922358165, min values: 4.3098e-06, max values: 39.932, median values: 0.2867, and quantile values: 0.25 0.088736\n0.50 0.286700\n0.75 1.052800\nName: 2746, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3794420822496853, std values: 4.7909638828405985, min values: 1.638e-07, max values: 39.017, median values: 0.17191, and quantile values: 0.25 0.050532\n0.50 0.171910\n0.75 0.793560\nName: 2747, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3039221615689307, std values: 4.619417258517442, min values: 2.2976e-07, max values: 36.992, median values: 0.19029, and quantile values: 0.25 0.049846\n0.50 0.190290\n0.75 0.723775\nName: 2748, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6478817410152833, std values: 4.754394527486797, min values: 3.9163e-07, max values: 37.632, median values: 0.2829, and quantile values: 0.25 0.066106\n0.50 0.282900\n0.75 1.186050\nName: 2749, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6442161871553456, std values: 5.124006117966521, min values: 1.2598e-06, max values: 42.451, median values: 0.2747, and quantile values: 0.25 0.084478\n0.50 0.274700\n0.75 1.098150\nName: 2750, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.424316484237044, std values: 4.718378759904888, min values: 8.1779e-07, max values: 38.343, median values: 0.20361, and quantile values: 0.25 0.059780\n0.50 0.203610\n0.75 0.926245\nName: 2751, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3237527290132076, std values: 4.682399346826086, min values: 5.853e-07, max values: 37.82, median values: 0.20311, and quantile values: 0.25 0.060408\n0.50 0.203110\n0.75 0.726500\nName: 2752, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3802498400426855, std values: 4.77238593240567, min values: 2.1707e-08, max values: 38.987, median values: 0.20358, and quantile values: 0.25 0.049619\n0.50 0.203580\n0.75 0.767025\nName: 2753, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.322514220689434, std values: 4.6344457872734, min values: 2.4974e-07, max values: 37.208, median values: 0.18548, and quantile values: 0.25 0.042175\n0.50 0.185480\n0.75 0.782810\nName: 2754, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.343797247618868, std values: 4.97563485840943, min values: 1.1509e-06, max values: 42.138, median values: 0.18081, and quantile values: 0.25 0.049652\n0.50 0.180810\n0.75 0.709680\nName: 2755, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4628157412249057, std values: 4.82823483962571, min values: 2.0306e-07, max values: 39.298, median values: 0.19394, and quantile values: 0.25 0.056804\n0.50 0.193940\n0.75 0.881475\nName: 2756, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5836916795597484, std values: 5.010233710770146, min values: 2.0494e-06, max values: 39.888, median values: 0.28108, and quantile values: 0.25 0.067353\n0.50 0.281080\n0.75 1.125800\nName: 2757, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4189546685578616, std values: 4.807714911861579, min values: 1.8572e-06, max values: 39.771, median values: 0.21826, and quantile values: 0.25 0.058955\n0.50 0.218260\n0.75 0.872495\nName: 2758, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.382822108774717, std values: 4.647163375213433, min values: 4.8508e-07, max values: 37.236, median values: 0.2122, and quantile values: 0.25 0.057977\n0.50 0.212200\n0.75 0.832270\nName: 2759, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3245098577640315, std values: 4.708167230931333, min values: 2.0411e-08, max values: 38.402, median values: 0.15696, and quantile values: 0.25 0.039593\n0.50 0.156960\n0.75 0.744915\nName: 2760, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4063816457603586, std values: 4.574925855328476, min values: 2.8057e-08, max values: 36.941, median values: 0.17689, and quantile values: 0.25 0.042064\n0.50 0.176890\n0.75 0.860750\nName: 2761, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3991861801196226, std values: 4.8053115712977, min values: 4.9762e-07, max values: 38.411, median values: 0.21127, and quantile values: 0.25 0.061289\n0.50 0.211270\n0.75 0.838465\nName: 2762, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6110981214703775, std values: 4.981381020134618, min values: 3.7959e-07, max values: 40.624, median values: 0.23511, and quantile values: 0.25 0.066567\n0.50 0.235110\n0.75 1.081900\nName: 2763, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6097734286647798, std values: 5.190182072114556, min values: 2.4357e-06, max values: 42.754, median values: 0.24914, and quantile values: 0.25 0.074832\n0.50 0.249140\n0.75 0.998860\nName: 2764, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4577620485968554, std values: 4.88681287828184, min values: 2.265e-06, max values: 38.927, median values: 0.22402, and quantile values: 0.25 0.060597\n0.50 0.224020\n0.75 0.875805\nName: 2765, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5647223728181507, std values: 4.831489980638845, min values: 5.5986e-08, max values: 38.475, median values: 0.23495, and quantile values: 0.25 0.055333\n0.50 0.234950\n0.75 1.059400\nName: 2766, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7780562742773585, std values: 5.183072160077016, min values: 4.1325e-06, max values: 40.123, median values: 0.31167, and quantile values: 0.25 0.081648\n0.50 0.311670\n0.75 1.223150\nName: 2767, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6385705378045283, std values: 4.975952625139628, min values: 8.8442e-07, max values: 39.811, median values: 0.29947, and quantile values: 0.25 0.065337\n0.50 0.299470\n0.75 1.121600\nName: 2768, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5243072536142765, std values: 4.907482751731507, min values: 9.7077e-07, max values: 38.966, median values: 0.25698, and quantile values: 0.25 0.072855\n0.50 0.256980\n0.75 0.982205\nName: 2769, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4761033719088053, std values: 4.907494865811372, min values: 1.734e-07, max values: 40.017, median values: 0.21825, and quantile values: 0.25 0.055936\n0.50 0.218250\n0.75 0.917355\nName: 2770, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3462917706904403, std values: 4.93264180428186, min values: 7.4158e-07, max values: 40.688, median values: 0.19051, and quantile values: 0.25 0.046809\n0.50 0.190510\n0.75 0.704805\nName: 2771, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6226489579801258, std values: 5.056787661230219, min values: 4.9134e-07, max values: 42.054, median values: 0.23363, and quantile values: 0.25 0.06531\n0.50 0.23363\n0.75 1.09160\nName: 2772, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4661080127949686, std values: 4.740617332797295, min values: 1.5618e-06, max values: 39.185, median values: 0.21348, and quantile values: 0.25 0.071534\n0.50 0.213480\n0.75 0.921075\nName: 2773, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.565888921874214, std values: 5.119457252949959, min values: 2.2961e-06, max values: 41.268, median values: 0.27987, and quantile values: 0.25 0.067103\n0.50 0.279870\n0.75 0.933030\nName: 2774, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4622692635908803, std values: 4.819253832879513, min values: 5.4425e-07, max values: 38.218, median values: 0.2403, and quantile values: 0.25 0.05606\n0.50 0.24030\n0.75 0.90391\nName: 2775, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5564497470383016, std values: 4.973316954401685, min values: 1.3709e-07, max values: 41.158, median values: 0.25494, and quantile values: 0.25 0.065126\n0.50 0.254940\n0.75 1.039950\nName: 2776, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4437900433309623, std values: 4.832840225966226, min values: 2.6863e-08, max values: 39.594, median values: 0.19047, and quantile values: 0.25 0.046785\n0.50 0.190470\n0.75 0.819240\nName: 2777, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5832609526836479, std values: 4.796280707561629, min values: 2.8092e-06, max values: 39.716, median values: 0.28848, and quantile values: 0.25 0.085897\n0.50 0.288480\n0.75 1.032900\nName: 2778, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6882725494125788, std values: 4.901641505808801, min values: 3.2363e-06, max values: 39.055, median values: 0.28956, and quantile values: 0.25 0.077791\n0.50 0.289560\n0.75 1.195300\nName: 2779, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6145564322333332, std values: 5.410786088679699, min values: 5.1057e-06, max values: 45.338, median values: 0.23488, and quantile values: 0.25 0.068853\n0.50 0.234880\n0.75 0.910900\nName: 2780, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.614147706673585, std values: 5.138577766083268, min values: 1.6043e-06, max values: 42.749, median values: 0.26402, and quantile values: 0.25 0.067935\n0.50 0.264020\n0.75 1.019850\nName: 2781, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5067289301522644, std values: 4.881511326545026, min values: 6.4921e-07, max values: 38.978, median values: 0.2439, and quantile values: 0.25 0.064636\n0.50 0.243900\n0.75 0.992020\nName: 2782, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4976383117327046, std values: 4.843508984513784, min values: 1.064e-06, max values: 38.605, median values: 0.2302, and quantile values: 0.25 0.062691\n0.50 0.230200\n0.75 0.950435\nName: 2783, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.485760510429434, std values: 4.943306093793167, min values: 6.7158e-07, max values: 39.556, median values: 0.24037, and quantile values: 0.25 0.057315\n0.50 0.240370\n0.75 0.867395\nName: 2784, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9767577741194968, std values: 5.470356502729969, min values: 5.685e-06, max values: 42.42, median values: 0.37451, and quantile values: 0.25 0.10520\n0.50 0.37451\n0.75 1.37825\nName: 2785, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6498668537050314, std values: 5.144760670771387, min values: 3.1863e-06, max values: 41.133, median values: 0.28593, and quantile values: 0.25 0.071336\n0.50 0.285930\n0.75 1.060400\nName: 2786, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8289568305389936, std values: 5.358012144200743, min values: 1.1611e-06, max values: 44.196, median values: 0.32316, and quantile values: 0.25 0.07973\n0.50 0.32316\n0.75 1.24685\nName: 2787, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7193039366754717, std values: 5.262102586834504, min values: 2.7432e-06, max values: 43.057, median values: 0.2893, and quantile values: 0.25 0.083772\n0.50 0.289300\n0.75 1.124900\nName: 2788, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6754750298035852, std values: 4.8889691963421225, min values: 7.9297e-07, max values: 38.859, median values: 0.27752, and quantile values: 0.25 0.073534\n0.50 0.277520\n0.75 1.217700\nName: 2789, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.430387462337629, std values: 4.707827493343033, min values: 2.1493e-08, max values: 37.032, median values: 0.1623, and quantile values: 0.25 0.044739\n0.50 0.162300\n0.75 0.829145\nName: 2790, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3609947107444025, std values: 4.630130587485926, min values: 3.5326e-07, max values: 37.2, median values: 0.17785, and quantile values: 0.25 0.043601\n0.50 0.177850\n0.75 0.692180\nName: 2791, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.37980227514761, std values: 4.91418019873725, min values: 6.9137e-07, max values: 40.699, median values: 0.1705, and quantile values: 0.25 0.050759\n0.50 0.170500\n0.75 0.751965\nName: 2792, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.324829315520755, std values: 4.849027790879984, min values: 1.972e-06, max values: 40.441, median values: 0.1957, and quantile values: 0.25 0.051481\n0.50 0.195700\n0.75 0.675540\nName: 2793, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4182850415905661, std values: 4.944715480704969, min values: 2.3259e-06, max values: 39.595, median values: 0.21684, and quantile values: 0.25 0.06017\n0.50 0.21684\n0.75 0.85246\nName: 2794, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6012841315584905, std values: 4.747607381407346, min values: 3.4282e-06, max values: 39.354, median values: 0.27495, and quantile values: 0.25 0.081828\n0.50 0.274950\n0.75 1.056350\nName: 2795, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6829907144050316, std values: 5.5385950176193015, min values: 3.6453e-06, max values: 48.777, median values: 0.27027, and quantile values: 0.25 0.076402\n0.50 0.270270\n0.75 0.950145\nName: 2796, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.44292182632956, std values: 4.768653293042113, min values: 1.4309e-06, max values: 38.611, median values: 0.22387, and quantile values: 0.25 0.064142\n0.50 0.223870\n0.75 0.873575\nName: 2797, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5732633262710694, std values: 4.980552573586898, min values: 4.0914e-06, max values: 40.843, median values: 0.25309, and quantile values: 0.25 0.071362\n0.50 0.253090\n0.75 0.942310\nName: 2798, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3644371490897484, std values: 4.700326776698237, min values: 2.2577e-07, max values: 37.693, median values: 0.18519, and quantile values: 0.25 0.053363\n0.50 0.185190\n0.75 0.772310\nName: 2799, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4207515730790568, std values: 4.9465438215271575, min values: 6.5257e-07, max values: 41.717, median values: 0.19514, and quantile values: 0.25 0.051755\n0.50 0.195140\n0.75 0.846835\nName: 2800, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4379184985003144, std values: 4.785538218489848, min values: 6.4605e-07, max values: 38.357, median values: 0.24572, and quantile values: 0.25 0.056399\n0.50 0.245720\n0.75 0.843525\nName: 2801, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4534932234218239, std values: 4.8607204251779965, min values: 1.7817e-07, max values: 39.704, median values: 0.21544, and quantile values: 0.25 0.053275\n0.50 0.215440\n0.75 0.862875\nName: 2802, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.538550819281761, std values: 5.191529969222461, min values: 2.0965e-06, max values: 43.249, median values: 0.24563, and quantile values: 0.25 0.061853\n0.50 0.245630\n0.75 0.943925\nName: 2803, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.482773958579434, std values: 4.7908304115129585, min values: 7.8233e-07, max values: 37.944, median values: 0.2238, and quantile values: 0.25 0.068525\n0.50 0.223800\n0.75 0.956275\nName: 2804, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3922912584937737, std values: 4.922537591328481, min values: 5.8161e-07, max values: 41.224, median values: 0.20494, and quantile values: 0.25 0.055362\n0.50 0.204940\n0.75 0.791870\nName: 2805, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4088305685402516, std values: 4.8668507853921446, min values: 1.4882e-06, max values: 38.753, median values: 0.21224, and quantile values: 0.25 0.062241\n0.50 0.212240\n0.75 0.833770\nName: 2806, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3913456301729559, std values: 5.0812327722863895, min values: 1.9521e-06, max values: 42.318, median values: 0.18836, and quantile values: 0.25 0.057589\n0.50 0.188360\n0.75 0.796650\nName: 2807, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6629003432226415, std values: 5.001044065870274, min values: 2.9321e-06, max values: 39.17, median values: 0.29009, and quantile values: 0.25 0.08045\n0.50 0.29009\n0.75 1.11525\nName: 2808, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5806522258779876, std values: 5.551204516394832, min values: 3.9996e-06, max values: 48.228, median values: 0.23888, and quantile values: 0.25 0.071828\n0.50 0.238880\n0.75 0.789650\nName: 2809, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5648480490654089, std values: 5.0999387867493216, min values: 4.5294e-06, max values: 41.018, median values: 0.24837, and quantile values: 0.25 0.069358\n0.50 0.248370\n0.75 0.906920\nName: 2810, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4355124775905659, std values: 4.860282605760066, min values: 1.4639e-06, max values: 39.166, median values: 0.20128, and quantile values: 0.25 0.059129\n0.50 0.201280\n0.75 0.850445\nName: 2811, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.421795954927044, std values: 4.910700652970204, min values: 1.317e-06, max values: 39.563, median values: 0.21597, and quantile values: 0.25 0.061561\n0.50 0.215970\n0.75 0.817835\nName: 2812, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5187238969150945, std values: 4.917177867908661, min values: 2.1086e-06, max values: 39.193, median values: 0.24853, and quantile values: 0.25 0.070108\n0.50 0.248530\n0.75 0.929955\nName: 2813, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.584285906243396, std values: 4.944676934463068, min values: 1.1492e-06, max values: 39.802, median values: 0.24675, and quantile values: 0.25 0.069407\n0.50 0.246750\n0.75 1.043400\nName: 2814, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6068373067729562, std values: 5.015338470284761, min values: 3.0374e-06, max values: 39.763, median values: 0.23605, and quantile values: 0.25 0.06932\n0.50 0.23605\n0.75 1.02555\nName: 2815, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.541060318010063, std values: 5.023572883222733, min values: 3.369e-06, max values: 40.31, median values: 0.23303, and quantile values: 0.25 0.070800\n0.50 0.233030\n0.75 0.951195\nName: 2816, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4948312188231319, std values: 4.716698555353476, min values: 2.5188e-08, max values: 37.052, median values: 0.23127, and quantile values: 0.25 0.056324\n0.50 0.231270\n0.75 0.891180\nName: 2817, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4070269917916982, std values: 4.65245461198864, min values: 3.0584e-07, max values: 36.604, median values: 0.20963, and quantile values: 0.25 0.050331\n0.50 0.209630\n0.75 0.832520\nName: 2818, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2795700533509435, std values: 4.582482126135319, min values: 1.1902e-06, max values: 38.009, median values: 0.18678, and quantile values: 0.25 0.059348\n0.50 0.186780\n0.75 0.714560\nName: 2819, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3708407964062892, std values: 4.908644111304399, min values: 2.3319e-06, max values: 40.368, median values: 0.17301, and quantile values: 0.25 0.057700\n0.50 0.173010\n0.75 0.723115\nName: 2820, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3299485622365408, std values: 4.714393423660129, min values: 8.0061e-07, max values: 37.878, median values: 0.20216, and quantile values: 0.25 0.058919\n0.50 0.202160\n0.75 0.705000\nName: 2821, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6040553335697485, std values: 4.779843892854292, min values: 2.3449e-07, max values: 38.108, median values: 0.25567, and quantile values: 0.25 0.063829\n0.50 0.255670\n0.75 1.060300\nName: 2822, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6434656995138368, std values: 5.197898665836973, min values: 3.6743e-06, max values: 41.319, median values: 0.2579, and quantile values: 0.25 0.076381\n0.50 0.257900\n0.75 1.041865\nName: 2823, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.530982383074717, std values: 4.828059812540116, min values: 6.6238e-07, max values: 38.073, median values: 0.23368, and quantile values: 0.25 0.062122\n0.50 0.233680\n0.75 0.921070\nName: 2824, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4810467938972327, std values: 5.105256889001001, min values: 1.9366e-08, max values: 45.275, median values: 0.1745, and quantile values: 0.25 0.039669\n0.50 0.174500\n0.75 0.786275\nName: 2825, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2747622604318238, std values: 4.75775926624755, min values: 4.0956e-07, max values: 38.528, median values: 0.14591, and quantile values: 0.25 0.039831\n0.50 0.145910\n0.75 0.606725\nName: 2826, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.639406122027673, std values: 5.167128281081689, min values: 5.5102e-06, max values: 40.822, median values: 0.26421, and quantile values: 0.25 0.079562\n0.50 0.264210\n0.75 0.970460\nName: 2827, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5567710579225786, std values: 5.089375156695897, min values: 2.9729e-07, max values: 43.225, median values: 0.23194, and quantile values: 0.25 0.062752\n0.50 0.231940\n0.75 0.929785\nName: 2828, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4991219108118239, std values: 4.99357361583272, min values: 1.5808e-07, max values: 41.681, median values: 0.20201, and quantile values: 0.25 0.053256\n0.50 0.202010\n0.75 0.897020\nName: 2829, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5624351553685534, std values: 4.708218570353964, min values: 2.1075e-07, max values: 36.027, median values: 0.1954, and quantile values: 0.25 0.049050\n0.50 0.195400\n0.75 0.961705\nName: 2830, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4854871242685532, std values: 4.897942104970829, min values: 2.7724e-06, max values: 39.446, median values: 0.23077, and quantile values: 0.25 0.062425\n0.50 0.230770\n0.75 0.920675\nName: 2831, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4457153154025155, std values: 5.139454422763001, min values: 3.0759e-06, max values: 42.796, median values: 0.21321, and quantile values: 0.25 0.055376\n0.50 0.213210\n0.75 0.717265\nName: 2832, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5240063715075471, std values: 4.9987936750554525, min values: 6.3506e-06, max values: 41.507, median values: 0.22894, and quantile values: 0.25 0.064132\n0.50 0.228940\n0.75 0.837945\nName: 2833, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5540331461972328, std values: 4.855706098759348, min values: 6.2396e-07, max values: 38.242, median values: 0.2331, and quantile values: 0.25 0.060963\n0.50 0.233100\n0.75 0.944185\nName: 2834, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4207181662237105, std values: 4.976808486827886, min values: 5.5827e-07, max values: 41.409, median values: 0.21766, and quantile values: 0.25 0.060828\n0.50 0.217660\n0.75 0.802985\nName: 2835, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4834888614861634, std values: 4.719734543213182, min values: 1.3892e-06, max values: 38.81, median values: 0.21657, and quantile values: 0.25 0.058123\n0.50 0.216570\n0.75 0.900945\nName: 2836, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.513574572672327, std values: 5.007713837865865, min values: 7.6139e-06, max values: 41.991, median values: 0.23249, and quantile values: 0.25 0.073835\n0.50 0.232490\n0.75 0.807410\nName: 2837, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2907987493880504, std values: 4.807079760817206, min values: 1.4002e-06, max values: 40.661, median values: 0.15054, and quantile values: 0.25 0.041002\n0.50 0.150540\n0.75 0.589340\nName: 2838, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5772020667886792, std values: 4.830221981237248, min values: 1.6826e-06, max values: 38.737, median values: 0.26611, and quantile values: 0.25 0.077153\n0.50 0.266110\n0.75 1.080650\nName: 2839, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5732229291440252, std values: 5.039684175560932, min values: 1.7625e-06, max values: 40.882, median values: 0.24806, and quantile values: 0.25 0.071766\n0.50 0.248060\n0.75 1.028000\nName: 2840, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.595179613016981, std values: 5.224553714370351, min values: 3.2729e-06, max values: 42.714, median values: 0.2385, and quantile values: 0.25 0.066142\n0.50 0.238500\n0.75 0.913750\nName: 2841, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.24030004269, std values: 4.714243973648884, min values: 2.3452e-07, max values: 38.952, median values: 0.1496, and quantile values: 0.25 0.040051\n0.50 0.149600\n0.75 0.623880\nName: 2842, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5362444547145284, std values: 4.815834702949751, min values: 5.2531e-07, max values: 38.216, median values: 0.21565, and quantile values: 0.25 0.059676\n0.50 0.215650\n0.75 0.941470\nName: 2843, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4286815222543396, std values: 4.765124638363545, min values: 4.1694e-07, max values: 38.173, median values: 0.19138, and quantile values: 0.25 0.055849\n0.50 0.191380\n0.75 0.803990\nName: 2844, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4290681836698114, std values: 4.890624242996094, min values: 5.7569e-06, max values: 42.116, median values: 0.18959, and quantile values: 0.25 0.068276\n0.50 0.189590\n0.75 0.725835\nName: 2845, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5511572282597486, std values: 5.217358464608916, min values: 1.1347e-06, max values: 44.675, median values: 0.22991, and quantile values: 0.25 0.066388\n0.50 0.229910\n0.75 0.998325\nName: 2846, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3803329289565536, std values: 4.756894152630617, min values: 2.5112e-08, max values: 38.777, median values: 0.15012, and quantile values: 0.25 0.043099\n0.50 0.150120\n0.75 0.819180\nName: 2847, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4750126622735849, std values: 4.762699575293709, min values: 2.1084e-06, max values: 39.386, median values: 0.21949, and quantile values: 0.25 0.065732\n0.50 0.219490\n0.75 0.958230\nName: 2848, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2818814601049056, std values: 4.775175557909659, min values: 5.2058e-07, max values: 38.463, median values: 0.15301, and quantile values: 0.25 0.041697\n0.50 0.153010\n0.75 0.703615\nName: 2849, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5912269516182391, std values: 4.815016717967895, min values: 1.8941e-06, max values: 38.501, median values: 0.28498, and quantile values: 0.25 0.078575\n0.50 0.284980\n0.75 1.061250\nName: 2850, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.459784063401887, std values: 4.911710774694362, min values: 1.0983e-06, max values: 39.926, median values: 0.2464, and quantile values: 0.25 0.066328\n0.50 0.246400\n0.75 0.871070\nName: 2851, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.683247575479245, std values: 5.040827472696107, min values: 4.7549e-06, max values: 40.179, median values: 0.28881, and quantile values: 0.25 0.084566\n0.50 0.288810\n0.75 1.118050\nName: 2852, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4411456655577988, std values: 4.663341089517708, min values: 9.1769e-07, max values: 37.313, median values: 0.21029, and quantile values: 0.25 0.066882\n0.50 0.210290\n0.75 0.839655\nName: 2853, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4480622485477985, std values: 4.844405416701911, min values: 5.6861e-06, max values: 41.835, median values: 0.22058, and quantile values: 0.25 0.064324\n0.50 0.220580\n0.75 0.794705\nName: 2854, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6048387564295596, std values: 5.046951427076655, min values: 2.9401e-06, max values: 39.734, median values: 0.25034, and quantile values: 0.25 0.070827\n0.50 0.250340\n0.75 1.011670\nName: 2855, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4999393388566038, std values: 4.9597697894013795, min values: 2.6792e-06, max values: 40.066, median values: 0.23442, and quantile values: 0.25 0.063645\n0.50 0.234420\n0.75 0.926590\nName: 2856, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3362112801554717, std values: 4.459450607383006, min values: 5.9282e-07, max values: 38.336, median values: 0.18999, and quantile values: 0.25 0.058522\n0.50 0.189990\n0.75 0.783965\nName: 2857, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5779120256182388, std values: 5.040124645475639, min values: 1.1681e-06, max values: 40.78, median values: 0.22956, and quantile values: 0.25 0.065537\n0.50 0.229560\n0.75 0.969800\nName: 2858, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3151532534429562, std values: 4.902802131986143, min values: 9.4913e-07, max values: 40.023, median values: 0.15276, and quantile values: 0.25 0.052008\n0.50 0.152760\n0.75 0.743400\nName: 2859, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5215744770605661, std values: 4.901486014183035, min values: 5.4483e-07, max values: 40.116, median values: 0.22417, and quantile values: 0.25 0.059523\n0.50 0.224170\n0.75 0.914605\nName: 2860, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2306511560595284, std values: 4.5746213414134935, min values: 7.1765e-08, max values: 36.91, median values: 0.17607, and quantile values: 0.25 0.046981\n0.50 0.176070\n0.75 0.669625\nName: 2861, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4022197899973585, std values: 4.853140903087453, min values: 9.3048e-07, max values: 38.77, median values: 0.2014, and quantile values: 0.25 0.059495\n0.50 0.201400\n0.75 0.835470\nName: 2862, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7828993722622641, std values: 5.12048822027724, min values: 3.5025e-06, max values: 39.994, median values: 0.29644, and quantile values: 0.25 0.087458\n0.50 0.296440\n0.75 1.236900\nName: 2863, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3256205943256605, std values: 4.855276724882056, min values: 3.9058e-07, max values: 40.792, median values: 0.1936, and quantile values: 0.25 0.057063\n0.50 0.193600\n0.75 0.714885\nName: 2864, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5163767610207546, std values: 5.158996901000447, min values: 1.1437e-06, max values: 43.78, median values: 0.23331, and quantile values: 0.25 0.061514\n0.50 0.233310\n0.75 0.866920\nName: 2865, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3843709536860376, std values: 4.796929233697428, min values: 5.8838e-07, max values: 38.512, median values: 0.18038, and quantile values: 0.25 0.062379\n0.50 0.180380\n0.75 0.805505\nName: 2866, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4134538549106916, std values: 4.7121744393368425, min values: 3.5851e-06, max values: 39.9, median values: 0.22997, and quantile values: 0.25 0.061576\n0.50 0.229970\n0.75 0.812470\nName: 2867, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6843135697207547, std values: 5.397662900698321, min values: 7.4116e-06, max values: 42.464, median values: 0.26763, and quantile values: 0.25 0.071753\n0.50 0.267630\n0.75 0.926595\nName: 2868, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2599623172827046, std values: 4.74617185907141, min values: 2.4307e-07, max values: 39.136, median values: 0.16241, and quantile values: 0.25 0.042907\n0.50 0.162410\n0.75 0.630105\nName: 2869, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.599232665627736, std values: 5.129854220828108, min values: 2.9611e-07, max values: 43.892, median values: 0.20767, and quantile values: 0.25 0.054659\n0.50 0.207670\n0.75 0.960875\nName: 2870, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4275296034620126, std values: 4.8335128511804815, min values: 7.9086e-07, max values: 38.898, median values: 0.19339, and quantile values: 0.25 0.057674\n0.50 0.193390\n0.75 0.872605\nName: 2871, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6510912446974844, std values: 5.041978654007709, min values: 1.7175e-06, max values: 40.244, median values: 0.28544, and quantile values: 0.25 0.083512\n0.50 0.285440\n0.75 1.104600\nName: 2872, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4671778509928928, std values: 4.9615817442705765, min values: 9.6587e-07, max values: 40.898, median values: 0.22619, and quantile values: 0.25 0.068274\n0.50 0.226190\n0.75 0.897555\nName: 2873, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5620568985823902, std values: 4.911395297415846, min values: 2.0048e-06, max values: 39.412, median values: 0.27349, and quantile values: 0.25 0.067379\n0.50 0.273490\n0.75 0.995400\nName: 2874, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.337888732018868, std values: 4.653969322626357, min values: 1.0621e-06, max values: 39.159, median values: 0.17899, and quantile values: 0.25 0.058639\n0.50 0.178990\n0.75 0.798300\nName: 2875, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3463400291672956, std values: 4.830201085878845, min values: 1.3407e-06, max values: 38.843, median values: 0.2107, and quantile values: 0.25 0.055155\n0.50 0.210700\n0.75 0.751815\nName: 2876, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3174423166968556, std values: 4.870329590646889, min values: 1.5513e-06, max values: 39.376, median values: 0.1634, and quantile values: 0.25 0.051384\n0.50 0.163400\n0.75 0.709145\nName: 2877, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6645073457949682, std values: 5.088296844705733, min values: 1.4128e-06, max values: 41.134, median values: 0.24531, and quantile values: 0.25 0.074542\n0.50 0.245310\n0.75 1.117100\nName: 2878, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2722236990742137, std values: 4.749796049356586, min values: 3.3681e-06, max values: 41.213, median values: 0.16218, and quantile values: 0.25 0.054067\n0.50 0.162180\n0.75 0.628090\nName: 2879, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.166706396169321, std values: 4.491434543929633, min values: 1.4622e-08, max values: 35.943, median values: 0.11759, and quantile values: 0.25 0.02783\n0.50 0.11759\n0.75 0.54613\nName: 2880, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3819525313270442, std values: 4.867668667622735, min values: 3.7464e-06, max values: 39.955, median values: 0.19509, and quantile values: 0.25 0.066320\n0.50 0.195090\n0.75 0.790325\nName: 2881, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4803144034633335, std values: 5.018105255387891, min values: 8.1217e-07, max values: 42.566, median values: 0.19456, and quantile values: 0.25 0.059069\n0.50 0.194560\n0.75 0.824875\nName: 2882, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.424615909063522, std values: 4.844886564399826, min values: 1.8332e-06, max values: 39.679, median values: 0.19762, and quantile values: 0.25 0.059286\n0.50 0.197620\n0.75 0.849265\nName: 2883, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.435552297755346, std values: 4.768918069783895, min values: 1.6006e-06, max values: 38.43, median values: 0.2178, and quantile values: 0.25 0.071952\n0.50 0.217800\n0.75 0.830750\nName: 2884, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5180217068414843, std values: 4.788023084615083, min values: 3.6556e-08, max values: 37.683, median values: 0.23333, and quantile values: 0.25 0.058083\n0.50 0.233330\n0.75 1.027900\nName: 2885, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3759655510622641, std values: 4.893460157077179, min values: 1.5769e-06, max values: 39.92, median values: 0.19536, and quantile values: 0.25 0.052395\n0.50 0.195360\n0.75 0.847310\nName: 2886, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4495644946474213, std values: 5.007174953047741, min values: 1.1517e-07, max values: 43.359, median values: 0.203, and quantile values: 0.25 0.048951\n0.50 0.203000\n0.75 0.841120\nName: 2887, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.473913810928302, std values: 4.726339361821998, min values: 1.8533e-06, max values: 38.898, median values: 0.22095, and quantile values: 0.25 0.066445\n0.50 0.220950\n0.75 0.893505\nName: 2888, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4423371277861636, std values: 4.849014198085449, min values: 1.7465e-06, max values: 39.075, median values: 0.23606, and quantile values: 0.25 0.069061\n0.50 0.236060\n0.75 0.888955\nName: 2889, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.464943303589937, std values: 4.921456208777765, min values: 3.0176e-06, max values: 40.407, median values: 0.22092, and quantile values: 0.25 0.066407\n0.50 0.220920\n0.75 0.829745\nName: 2890, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4477161079157232, std values: 4.803021172856441, min values: 8.928e-07, max values: 38.553, median values: 0.21413, and quantile values: 0.25 0.070811\n0.50 0.214130\n0.75 0.893665\nName: 2891, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.157246863727862, std values: 4.5554632554264645, min values: 0.0, max values: 36.444, median values: 0.12782, and quantile values: 0.25 0.032562\n0.50 0.127820\n0.75 0.538415\nName: 2892, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5703824317830186, std values: 4.846847114387288, min values: 1.4878e-06, max values: 38.66, median values: 0.26461, and quantile values: 0.25 0.067509\n0.50 0.264610\n0.75 1.061450\nName: 2893, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3616319015603773, std values: 4.827793023090978, min values: 1.5217e-06, max values: 39.735, median values: 0.18316, and quantile values: 0.25 0.048908\n0.50 0.183160\n0.75 0.794060\nName: 2894, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4943572340566038, std values: 5.01736845865356, min values: 1.8916e-06, max values: 41.104, median values: 0.24515, and quantile values: 0.25 0.062306\n0.50 0.245150\n0.75 0.911465\nName: 2895, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.267483634133082, std values: 5.1098012084602695, min values: 9.0766e-07, max values: 44.132, median values: 0.14437, and quantile values: 0.25 0.044396\n0.50 0.144370\n0.75 0.653475\nName: 2896, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6679116601886794, std values: 5.253981527278632, min values: 5.3137e-06, max values: 41.966, median values: 0.27843, and quantile values: 0.25 0.084454\n0.50 0.278430\n0.75 0.967600\nName: 2897, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6746823113012579, std values: 5.175468209231278, min values: 3.5985e-06, max values: 40.862, median values: 0.26603, and quantile values: 0.25 0.082065\n0.50 0.266030\n0.75 1.006060\nName: 2898, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4996384631345911, std values: 5.042544346023115, min values: 3.2527e-06, max values: 40.29, median values: 0.21216, and quantile values: 0.25 0.065685\n0.50 0.212160\n0.75 0.892785\nName: 2899, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5016348687128303, std values: 4.782038509793243, min values: 2.6574e-07, max values: 38.1, median values: 0.23524, and quantile values: 0.25 0.064867\n0.50 0.235240\n0.75 0.976340\nName: 2900, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4351689209893084, std values: 4.831909734293316, min values: 3.5385e-06, max values: 40.36, median values: 0.22638, and quantile values: 0.25 0.073803\n0.50 0.226380\n0.75 0.813755\nName: 2901, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2684485455559746, std values: 5.096207279009667, min values: 2.0533e-06, max values: 42.586, median values: 0.14701, and quantile values: 0.25 0.045905\n0.50 0.147010\n0.75 0.561480\nName: 2902, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.411728105771069, std values: 4.871460105910986, min values: 2.4683e-06, max values: 39.641, median values: 0.21381, and quantile values: 0.25 0.058509\n0.50 0.213810\n0.75 0.818710\nName: 2903, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4513532419295598, std values: 5.047867720488532, min values: 1.2307e-06, max values: 41.173, median values: 0.19463, and quantile values: 0.25 0.055525\n0.50 0.194630\n0.75 0.867725\nName: 2904, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4361994855638367, std values: 4.85342223558141, min values: 9.1255e-07, max values: 38.786, median values: 0.20542, and quantile values: 0.25 0.059737\n0.50 0.205420\n0.75 0.905170\nName: 2905, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5616805363379875, std values: 5.243743069974965, min values: 4.7704e-07, max values: 45.742, median values: 0.24489, and quantile values: 0.25 0.059813\n0.50 0.244890\n0.75 0.974165\nName: 2906, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5949758211509435, std values: 5.082077384370003, min values: 2.9502e-06, max values: 40.63, median values: 0.26016, and quantile values: 0.25 0.07758\n0.50 0.26016\n0.75 0.98576\nName: 2907, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3262964305911948, std values: 4.781681859904243, min values: 1.0029e-06, max values: 39.007, median values: 0.17407, and quantile values: 0.25 0.053946\n0.50 0.174070\n0.75 0.746955\nName: 2908, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.338962817528302, std values: 4.513313937662422, min values: 8.749e-07, max values: 38.162, median values: 0.19331, and quantile values: 0.25 0.054582\n0.50 0.193310\n0.75 0.804060\nName: 2909, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6753660820389937, std values: 5.035087860322078, min values: 1.7472e-06, max values: 39.782, median values: 0.26307, and quantile values: 0.25 0.077108\n0.50 0.263070\n0.75 1.176750\nName: 2910, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3640043929320755, std values: 4.9494202654753465, min values: 2.2441e-06, max values: 39.905, median values: 0.19976, and quantile values: 0.25 0.057992\n0.50 0.199760\n0.75 0.809425\nName: 2911, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4450733567344591, std values: 5.078795737505482, min values: 5.2359e-08, max values: 44.232, median values: 0.18867, and quantile values: 0.25 0.044435\n0.50 0.188670\n0.75 0.760210\nName: 2912, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6197994000503146, std values: 4.96883639763435, min values: 2.8118e-06, max values: 39.113, median values: 0.28542, and quantile values: 0.25 0.068409\n0.50 0.285420\n0.75 1.063900\nName: 2913, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5175721971761007, std values: 4.96074544873333, min values: 1.9859e-06, max values: 39.958, median values: 0.25813, and quantile values: 0.25 0.076220\n0.50 0.258130\n0.75 0.920985\nName: 2914, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5823908671534592, std values: 5.272013498175012, min values: 2.165e-06, max values: 45.524, median values: 0.2801, and quantile values: 0.25 0.079036\n0.50 0.280100\n0.75 0.972290\nName: 2915, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5230449723403776, std values: 5.1217676531127445, min values: 1.4542e-07, max values: 44.145, median values: 0.2324, and quantile values: 0.25 0.055078\n0.50 0.232400\n0.75 0.921855\nName: 2916, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4240274956218868, std values: 4.952581402704107, min values: 9.7608e-07, max values: 41.182, median values: 0.20459, and quantile values: 0.25 0.058898\n0.50 0.204590\n0.75 0.825305\nName: 2917, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5174912526220128, std values: 4.746836248739812, min values: 1.5565e-06, max values: 38.928, median values: 0.26123, and quantile values: 0.25 0.072305\n0.50 0.261230\n0.75 0.965935\nName: 2918, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5262670613981133, std values: 4.889794386479636, min values: 5.4515e-06, max values: 40.822, median values: 0.23695, and quantile values: 0.25 0.078521\n0.50 0.236950\n0.75 0.857615\nName: 2919, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3390072789638996, std values: 4.853574182747376, min values: 5.1996e-07, max values: 40.105, median values: 0.16214, and quantile values: 0.25 0.050078\n0.50 0.162140\n0.75 0.730545\nName: 2920, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9321102142050315, std values: 5.519303734554055, min values: 9.0626e-06, max values: 41.513, median values: 0.33402, and quantile values: 0.25 0.09377\n0.50 0.33402\n0.75 1.24450\nName: 2921, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.402522090163585, std values: 4.803061371696414, min values: 0.0, max values: 40.057, median values: 0.18244, and quantile values: 0.25 0.046906\n0.50 0.182440\n0.75 0.770475\nName: 2922, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3093147451220124, std values: 4.897324889254361, min values: 1.0204e-06, max values: 40.251, median values: 0.178, and quantile values: 0.25 0.050319\n0.50 0.178000\n0.75 0.677645\nName: 2923, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3119464511389938, std values: 4.879861069154049, min values: 1.3391e-06, max values: 39.528, median values: 0.18561, and quantile values: 0.25 0.048847\n0.50 0.185610\n0.75 0.754275\nName: 2924, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.42069777935, std values: 4.6724633578567785, min values: 2.656e-08, max values: 36.966, median values: 0.21407, and quantile values: 0.25 0.056183\n0.50 0.214070\n0.75 0.899740\nName: 2925, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3780205714761005, std values: 4.883591135577208, min values: 1.3207e-06, max values: 40.114, median values: 0.2014, and quantile values: 0.25 0.056947\n0.50 0.201400\n0.75 0.763045\nName: 2926, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4714557677095472, std values: 4.7148209874187454, min values: 1.7118e-08, max values: 37.146, median values: 0.2464, and quantile values: 0.25 0.060630\n0.50 0.246400\n0.75 0.995515\nName: 2927, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4837339322345913, std values: 5.13255449692682, min values: 3.1984e-06, max values: 41.822, median values: 0.21256, and quantile values: 0.25 0.059816\n0.50 0.212560\n0.75 0.808590\nName: 2928, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5060848124691824, std values: 4.78566129498853, min values: 1.9517e-06, max values: 39.065, median values: 0.25495, and quantile values: 0.25 0.067119\n0.50 0.254950\n0.75 0.973310\nName: 2929, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8399514374679247, std values: 5.120024476550699, min values: 3.4448e-06, max values: 39.234, median values: 0.34028, and quantile values: 0.25 0.098533\n0.50 0.340280\n0.75 1.346500\nName: 2930, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4009182633968553, std values: 5.069989697671589, min values: 4.3265e-06, max values: 41.545, median values: 0.16786, and quantile values: 0.25 0.051313\n0.50 0.167860\n0.75 0.682585\nName: 2931, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3809597305469183, std values: 4.912329495904102, min values: 8.1696e-07, max values: 40.693, median values: 0.17842, and quantile values: 0.25 0.05669\n0.50 0.17842\n0.75 0.76096\nName: 2932, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4536087327044027, std values: 5.216326359594625, min values: 1.6921e-06, max values: 45.475, median values: 0.17801, and quantile values: 0.25 0.046657\n0.50 0.178010\n0.75 0.785955\nName: 2933, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5769700242974845, std values: 5.219102780482967, min values: 2.2504e-06, max values: 43.484, median values: 0.25568, and quantile values: 0.25 0.070148\n0.50 0.255680\n0.75 0.959625\nName: 2934, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3709550626946603, std values: 4.6166213534945815, min values: 1.2863e-08, max values: 36.989, median values: 0.14364, and quantile values: 0.25 0.027882\n0.50 0.143640\n0.75 0.766675\nName: 2935, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4857259554712579, std values: 4.912319412547305, min values: 9.3723e-07, max values: 39.484, median values: 0.22556, and quantile values: 0.25 0.069750\n0.50 0.225560\n0.75 0.887815\nName: 2936, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5039435799937106, std values: 5.118141224972136, min values: 2.5351e-06, max values: 42.423, median values: 0.23831, and quantile values: 0.25 0.063971\n0.50 0.238310\n0.75 0.877710\nName: 2937, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4019314149773585, std values: 4.867588303630823, min values: 1.056e-06, max values: 38.693, median values: 0.17017, and quantile values: 0.25 0.050814\n0.50 0.170170\n0.75 0.747005\nName: 2938, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4670533940735848, std values: 4.836283156807132, min values: 2.468e-06, max values: 38.821, median values: 0.23017, and quantile values: 0.25 0.067869\n0.50 0.230170\n0.75 0.917915\nName: 2939, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5934287395201256, std values: 5.121347710886216, min values: 1.3724e-06, max values: 42.702, median values: 0.285, and quantile values: 0.25 0.078886\n0.50 0.285000\n0.75 0.964780\nName: 2940, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6597436999735846, std values: 5.371928815704, min values: 1.3113e-06, max values: 46.785, median values: 0.24352, and quantile values: 0.25 0.067155\n0.50 0.243520\n0.75 1.080150\nName: 2941, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4255086412068743, std values: 4.906694574337247, min values: 1.7443e-08, max values: 42.305, median values: 0.17861, and quantile values: 0.25 0.043664\n0.50 0.178610\n0.75 0.794885\nName: 2942, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6481958299849055, std values: 5.161370867996638, min values: 4.6398e-06, max values: 40.739, median values: 0.28954, and quantile values: 0.25 0.080716\n0.50 0.289540\n0.75 0.972355\nName: 2943, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4244376242200631, std values: 4.702444854357503, min values: 6.1609e-07, max values: 37.14, median values: 0.21421, and quantile values: 0.25 0.056936\n0.50 0.214210\n0.75 0.859830\nName: 2944, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5340681113107546, std values: 4.737847435205354, min values: 8.5381e-07, max values: 37.895, median values: 0.28584, and quantile values: 0.25 0.080769\n0.50 0.285840\n0.75 1.067750\nName: 2945, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8058977730345913, std values: 5.250311411512511, min values: 6.255e-06, max values: 40.561, median values: 0.31716, and quantile values: 0.25 0.091933\n0.50 0.317160\n0.75 1.188300\nName: 2946, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4805859207811325, std values: 4.872650145165694, min values: 1.3584e-06, max values: 38.612, median values: 0.21092, and quantile values: 0.25 0.062422\n0.50 0.210920\n0.75 0.907310\nName: 2947, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.557139303446541, std values: 5.220069224222948, min values: 2.5118e-06, max values: 44.53, median values: 0.23385, and quantile values: 0.25 0.068053\n0.50 0.233850\n0.75 0.931025\nName: 2948, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5617558632220125, std values: 5.0728425664332635, min values: 3.4428e-06, max values: 41.133, median values: 0.26446, and quantile values: 0.25 0.074143\n0.50 0.264460\n0.75 0.895550\nName: 2949, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4671934137570442, std values: 4.982878991756257, min values: 3.3557e-07, max values: 41.801, median values: 0.17282, and quantile values: 0.25 0.048835\n0.50 0.172820\n0.75 0.907820\nName: 2950, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4854256355742137, std values: 4.968896060256964, min values: 2.4355e-06, max values: 39.73, median values: 0.22309, and quantile values: 0.25 0.064421\n0.50 0.223090\n0.75 0.880310\nName: 2951, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7819097721773587, std values: 5.206256582197176, min values: 5.4782e-06, max values: 40.688, median values: 0.29458, and quantile values: 0.25 0.081868\n0.50 0.294580\n0.75 1.210900\nName: 2952, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.0057182593314464, std values: 5.436145930629036, min values: 7.5747e-06, max values: 40.722, median values: 0.36185, and quantile values: 0.25 0.11288\n0.50 0.36185\n0.75 1.28090\nName: 2953, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.484485697236478, std values: 4.961299068346107, min values: 1.984e-06, max values: 39.785, median values: 0.20406, and quantile values: 0.25 0.06130\n0.50 0.20406\n0.75 0.94548\nName: 2954, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6785963558792454, std values: 4.8803016070536875, min values: 3.1352e-06, max values: 39.365, median values: 0.32749, and quantile values: 0.25 0.080597\n0.50 0.327490\n0.75 1.158850\nName: 2955, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1666707472044024, std values: 4.543235649200292, min values: 1.3461e-06, max values: 39.444, median values: 0.1502, and quantile values: 0.25 0.043215\n0.50 0.150200\n0.75 0.605045\nName: 2956, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4816265017177987, std values: 4.99558810953802, min values: 3.3823e-07, max values: 42.492, median values: 0.22055, and quantile values: 0.25 0.058605\n0.50 0.220550\n0.75 0.900320\nName: 2957, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2874200493616352, std values: 4.720104946151484, min values: 1.6189e-06, max values: 39.424, median values: 0.18587, and quantile values: 0.25 0.054426\n0.50 0.185870\n0.75 0.703385\nName: 2958, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5755131042157233, std values: 5.210052117774069, min values: 4.4078e-06, max values: 42.866, median values: 0.25092, and quantile values: 0.25 0.074455\n0.50 0.250920\n0.75 0.879365\nName: 2959, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5299425153698114, std values: 5.138975527361958, min values: 2.0646e-06, max values: 43.463, median values: 0.24971, and quantile values: 0.25 0.061742\n0.50 0.249710\n0.75 0.936325\nName: 2960, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4017613053361822, std values: 4.735815863065908, min values: 1.9953e-08, max values: 37.839, median values: 0.17898, and quantile values: 0.25 0.053526\n0.50 0.178980\n0.75 0.802395\nName: 2961, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5273217148603775, std values: 4.94963437699939, min values: 3.1692e-06, max values: 39.572, median values: 0.25231, and quantile values: 0.25 0.075842\n0.50 0.252310\n0.75 0.927035\nName: 2962, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5716804193119498, std values: 5.052704103691832, min values: 4.8316e-06, max values: 40.534, median values: 0.26449, and quantile values: 0.25 0.079064\n0.50 0.264490\n0.75 0.920655\nName: 2963, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6357377259660377, std values: 4.878392211606659, min values: 1.6488e-06, max values: 38.407, median values: 0.25972, and quantile values: 0.25 0.065451\n0.50 0.259720\n0.75 1.155800\nName: 2964, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5578841879723269, std values: 4.97415561970142, min values: 9.375e-07, max values: 40.282, median values: 0.23953, and quantile values: 0.25 0.066151\n0.50 0.239530\n0.75 0.929395\nName: 2965, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.596553248018868, std values: 4.928516490648822, min values: 3.8295e-06, max values: 40.268, median values: 0.23618, and quantile values: 0.25 0.065716\n0.50 0.236180\n0.75 1.031750\nName: 2966, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.542565254732327, std values: 5.164650721033906, min values: 9.8044e-07, max values: 43.859, median values: 0.27163, and quantile values: 0.25 0.062196\n0.50 0.271630\n0.75 0.951130\nName: 2967, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.317373735545849, std values: 4.664122576031512, min values: 6.7277e-07, max values: 37.135, median values: 0.1555, and quantile values: 0.25 0.043136\n0.50 0.155500\n0.75 0.689580\nName: 2968, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4026092577866667, std values: 4.790516602488031, min values: 3.8868e-07, max values: 38.929, median values: 0.20972, and quantile values: 0.25 0.055840\n0.50 0.209720\n0.75 0.803245\nName: 2969, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.173189091779673, std values: 4.589079187973225, min values: 2.8614e-08, max values: 37.574, median values: 0.12434, and quantile values: 0.25 0.027793\n0.50 0.124340\n0.75 0.497425\nName: 2970, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.711773798199371, std values: 5.176690447638798, min values: 1.8543e-06, max values: 42.185, median values: 0.31495, and quantile values: 0.25 0.074805\n0.50 0.314950\n0.75 1.156200\nName: 2971, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4314618402660377, std values: 4.869849568752456, min values: 1.7344e-06, max values: 39.179, median values: 0.20213, and quantile values: 0.25 0.060621\n0.50 0.202130\n0.75 0.884140\nName: 2972, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5558938063779875, std values: 5.188846960824532, min values: 2.3971e-06, max values: 43.768, median values: 0.24009, and quantile values: 0.25 0.065505\n0.50 0.240090\n0.75 0.937090\nName: 2973, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3063575471017608, std values: 4.874481203954241, min values: 7.6218e-07, max values: 40.702, median values: 0.15714, and quantile values: 0.25 0.046219\n0.50 0.157140\n0.75 0.663435\nName: 2974, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4319793064076727, std values: 5.157796835943024, min values: 9.0672e-07, max values: 45.184, median values: 0.19657, and quantile values: 0.25 0.061003\n0.50 0.196570\n0.75 0.774760\nName: 2975, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.627994902008176, std values: 5.076645457936057, min values: 2.2938e-06, max values: 40.193, median values: 0.28276, and quantile values: 0.25 0.077281\n0.50 0.282760\n0.75 1.047050\nName: 2976, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5977830394201258, std values: 5.045195848567726, min values: 6.2505e-06, max values: 40.472, median values: 0.26663, and quantile values: 0.25 0.078105\n0.50 0.266630\n0.75 0.972185\nName: 2977, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5277198958327045, std values: 5.118881540633718, min values: 6.259e-07, max values: 42.1, median values: 0.21313, and quantile values: 0.25 0.055560\n0.50 0.213130\n0.75 0.933855\nName: 2978, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3729976874673584, std values: 4.795791181225315, min values: 7.5541e-07, max values: 38.316, median values: 0.1877, and quantile values: 0.25 0.057276\n0.50 0.187700\n0.75 0.749870\nName: 2979, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5815201594433963, std values: 4.90221751326646, min values: 3.7959e-06, max values: 40.112, median values: 0.2629, and quantile values: 0.25 0.078531\n0.50 0.262900\n0.75 0.992615\nName: 2980, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3085678655188682, std values: 4.71204572788387, min values: 1.6339e-06, max values: 39.167, median values: 0.18192, and quantile values: 0.25 0.057422\n0.50 0.181920\n0.75 0.777110\nName: 2981, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4241792350339622, std values: 4.764842475651792, min values: 1.5632e-06, max values: 38.32, median values: 0.21804, and quantile values: 0.25 0.067439\n0.50 0.218040\n0.75 0.847000\nName: 2982, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6860177852383649, std values: 5.420400200821072, min values: 3.9233e-06, max values: 46.238, median values: 0.25382, and quantile values: 0.25 0.078709\n0.50 0.253820\n0.75 1.016900\nName: 2983, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5142838770334652, std values: 5.127678595283098, min values: 3.1921e-08, max values: 44.514, median values: 0.21057, and quantile values: 0.25 0.059835\n0.50 0.210570\n0.75 0.834420\nName: 2984, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5901414887498742, std values: 5.150323673524226, min values: 2.7873e-07, max values: 43.973, median values: 0.23041, and quantile values: 0.25 0.055967\n0.50 0.230410\n0.75 1.062050\nName: 2985, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6317868207213837, std values: 5.0877650299254435, min values: 1.4212e-06, max values: 41.821, median values: 0.252, and quantile values: 0.25 0.068657\n0.50 0.252000\n0.75 1.080150\nName: 2986, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5213137614773584, std values: 5.0042636943051075, min values: 1.5196e-06, max values: 41.142, median values: 0.24282, and quantile values: 0.25 0.069540\n0.50 0.242820\n0.75 0.905405\nName: 2987, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3625400929694338, std values: 4.565748626606701, min values: 5.3524e-07, max values: 36.89, median values: 0.19473, and quantile values: 0.25 0.05261\n0.50 0.19473\n0.75 0.81630\nName: 2988, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5452501390333333, std values: 4.992145308919596, min values: 2.7026e-06, max values: 39.565, median values: 0.25036, and quantile values: 0.25 0.069018\n0.50 0.250360\n0.75 0.941000\nName: 2989, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8299555334421382, std values: 5.292204293473521, min values: 3.0447e-06, max values: 41.809, median values: 0.34556, and quantile values: 0.25 0.089235\n0.50 0.345560\n0.75 1.243600\nName: 2990, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4964835422583018, std values: 4.847178095604612, min values: 7.7787e-07, max values: 38.471, median values: 0.22806, and quantile values: 0.25 0.068529\n0.50 0.228060\n0.75 0.931480\nName: 2991, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.39221180706478, std values: 5.048337973751085, min values: 5.6578e-06, max values: 42.123, median values: 0.18793, and quantile values: 0.25 0.061326\n0.50 0.187930\n0.75 0.682455\nName: 2992, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5465654935339623, std values: 4.847293127708692, min values: 7.08e-07, max values: 38.089, median values: 0.24924, and quantile values: 0.25 0.062816\n0.50 0.249240\n0.75 1.004295\nName: 2993, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5105601035965408, std values: 4.979861539568755, min values: 3.5585e-07, max values: 41.715, median values: 0.21763, and quantile values: 0.25 0.052383\n0.50 0.217630\n0.75 0.927590\nName: 2994, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5755511908496855, std values: 5.094820803082006, min values: 4.0044e-06, max values: 40.531, median values: 0.23702, and quantile values: 0.25 0.074452\n0.50 0.237020\n0.75 0.949345\nName: 2995, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4082762639798112, std values: 4.8723775971364915, min values: 3.5689e-07, max values: 40.469, median values: 0.19781, and quantile values: 0.25 0.054668\n0.50 0.197810\n0.75 0.772525\nName: 2996, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4502970105435848, std values: 5.2393625072698065, min values: 4.2823e-07, max values: 46.513, median values: 0.18761, and quantile values: 0.25 0.052234\n0.50 0.187610\n0.75 0.821260\nName: 2997, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5876888365886794, std values: 4.93730789540729, min values: 2.516e-06, max values: 39.132, median values: 0.29516, and quantile values: 0.25 0.071069\n0.50 0.295160\n0.75 1.036010\nName: 2998, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5829950136505662, std values: 5.059628995385089, min values: 2.5804e-07, max values: 42.71, median values: 0.25747, and quantile values: 0.25 0.056561\n0.50 0.257470\n0.75 1.037550\nName: 2999, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4557914001867296, std values: 4.755525179850313, min values: 7.9179e-07, max values: 37.87, median values: 0.19146, and quantile values: 0.25 0.067206\n0.50 0.191460\n0.75 0.819080\nName: 3000, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5236375178333335, std values: 4.9094541004437255, min values: 2.922e-06, max values: 40.144, median values: 0.24569, and quantile values: 0.25 0.071486\n0.50 0.245690\n0.75 0.876185\nName: 3001, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6645442639037735, std values: 5.185419833924204, min values: 4.3042e-06, max values: 41.267, median values: 0.30013, and quantile values: 0.25 0.07961\n0.50 0.30013\n0.75 0.98588\nName: 3002, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.426976318808365, std values: 4.782364289288831, min values: 3.7093e-07, max values: 38.249, median values: 0.18278, and quantile values: 0.25 0.051419\n0.50 0.182780\n0.75 0.782685\nName: 3003, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.511111581026415, std values: 4.860372963072632, min values: 2.6762e-06, max values: 39.556, median values: 0.25845, and quantile values: 0.25 0.065263\n0.50 0.258450\n0.75 0.931735\nName: 3004, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2845739112327046, std values: 4.838014300619927, min values: 1.496e-06, max values: 39.295, median values: 0.17734, and quantile values: 0.25 0.052860\n0.50 0.177340\n0.75 0.671295\nName: 3005, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4053041123418237, std values: 4.845125336999987, min values: 7.4925e-07, max values: 39.549, median values: 0.19876, and quantile values: 0.25 0.058322\n0.50 0.198760\n0.75 0.809855\nName: 3006, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5206411774867925, std values: 5.1198085471305275, min values: 1.7202e-06, max values: 43.101, median values: 0.22682, and quantile values: 0.25 0.065790\n0.50 0.226820\n0.75 0.920055\nName: 3007, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6321765583830188, std values: 5.15395743011556, min values: 1.4952e-06, max values: 43.572, median values: 0.25397, and quantile values: 0.25 0.072345\n0.50 0.253970\n0.75 1.068250\nName: 3008, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3727552151962263, std values: 5.053924910931361, min values: 2.9836e-06, max values: 40.855, median values: 0.17813, and quantile values: 0.25 0.057484\n0.50 0.178130\n0.75 0.687485\nName: 3009, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4330371069421384, std values: 4.909799453781439, min values: 1.7235e-06, max values: 39.294, median values: 0.20042, and quantile values: 0.25 0.056535\n0.50 0.200420\n0.75 0.868370\nName: 3010, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4074420336846667, std values: 5.112389299523998, min values: 2.2552e-08, max values: 45.206, median values: 0.19079, and quantile values: 0.25 0.057207\n0.50 0.190790\n0.75 0.804555\nName: 3011, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3843831835051572, std values: 4.958425991238216, min values: 4.4332e-07, max values: 41.65, median values: 0.17827, and quantile values: 0.25 0.048603\n0.50 0.178270\n0.75 0.741245\nName: 3012, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4551382116805032, std values: 4.955960008696031, min values: 4.8183e-06, max values: 40.645, median values: 0.22235, and quantile values: 0.25 0.059757\n0.50 0.222350\n0.75 0.765030\nName: 3013, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4912799213855348, std values: 5.090456833217079, min values: 1.1642e-06, max values: 43.425, median values: 0.22294, and quantile values: 0.25 0.066273\n0.50 0.222940\n0.75 0.922935\nName: 3014, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3932717123358491, std values: 4.978305950470449, min values: 1.3542e-06, max values: 40.843, median values: 0.17166, and quantile values: 0.25 0.05292\n0.50 0.17166\n0.75 0.82093\nName: 3015, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3391247528189938, std values: 4.68637123463566, min values: 9.3242e-07, max values: 38.871, median values: 0.17606, and quantile values: 0.25 0.053701\n0.50 0.176060\n0.75 0.776000\nName: 3016, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.484401208369811, std values: 4.725323354758724, min values: 2.0417e-06, max values: 39.376, median values: 0.25999, and quantile values: 0.25 0.070282\n0.50 0.259990\n0.75 0.963085\nName: 3017, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.535100880354088, std values: 5.028744826684803, min values: 1.3358e-06, max values: 40.835, median values: 0.25695, and quantile values: 0.25 0.069788\n0.50 0.256950\n0.75 0.960420\nName: 3018, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.505916310080063, std values: 4.855681014056501, min values: 1.3459e-07, max values: 38.996, median values: 0.20106, and quantile values: 0.25 0.056051\n0.50 0.201060\n0.75 0.972470\nName: 3019, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.573656469755975, std values: 5.3919365692674, min values: 3.9742e-06, max values: 46.201, median values: 0.24836, and quantile values: 0.25 0.075537\n0.50 0.248360\n0.75 0.850440\nName: 3020, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.453572972018868, std values: 4.806895115545155, min values: 1.0754e-06, max values: 38.68, median values: 0.20245, and quantile values: 0.25 0.058616\n0.50 0.202450\n0.75 0.899120\nName: 3021, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4630997569861635, std values: 4.863554650236492, min values: 1.0366e-06, max values: 38.73, median values: 0.20693, and quantile values: 0.25 0.065726\n0.50 0.206930\n0.75 0.879050\nName: 3022, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3268813862138364, std values: 4.782030509516196, min values: 1.5442e-06, max values: 39.975, median values: 0.19633, and quantile values: 0.25 0.049068\n0.50 0.196330\n0.75 0.760650\nName: 3023, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.38880293346478, std values: 4.9259688169869476, min values: 1.634e-06, max values: 40.185, median values: 0.21659, and quantile values: 0.25 0.064802\n0.50 0.216590\n0.75 0.808450\nName: 3024, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5431807929874215, std values: 5.21853101373997, min values: 2.7569e-06, max values: 44.002, median values: 0.21281, and quantile values: 0.25 0.064773\n0.50 0.212810\n0.75 0.906550\nName: 3025, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6231561140062893, std values: 4.919693784475255, min values: 2.464e-06, max values: 38.592, median values: 0.28337, and quantile values: 0.25 0.075936\n0.50 0.283370\n0.75 1.123150\nName: 3026, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2844504612962264, std values: 4.679785752050016, min values: 2.5919e-06, max values: 39.878, median values: 0.16364, and quantile values: 0.25 0.053289\n0.50 0.163640\n0.75 0.591830\nName: 3027, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.178916583253333, std values: 4.757583432008795, min values: 4.7588e-07, max values: 39.635, median values: 0.13463, and quantile values: 0.25 0.039738\n0.50 0.134630\n0.75 0.561485\nName: 3028, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.530677238567044, std values: 4.775839336850001, min values: 8.8146e-07, max values: 37.922, median values: 0.23552, and quantile values: 0.25 0.063234\n0.50 0.235520\n0.75 0.998770\nName: 3029, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4582606855674214, std values: 4.873192990805937, min values: 7.3242e-07, max values: 39.804, median values: 0.23408, and quantile values: 0.25 0.066347\n0.50 0.234080\n0.75 0.899800\nName: 3030, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.653834982962893, std values: 5.173980780158236, min values: 1.2254e-06, max values: 43.677, median values: 0.26295, and quantile values: 0.25 0.073751\n0.50 0.262950\n0.75 1.117750\nName: 3031, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4684975373792455, std values: 4.895979980038067, min values: 1.0285e-06, max values: 39.372, median values: 0.19796, and quantile values: 0.25 0.064639\n0.50 0.197960\n0.75 0.893100\nName: 3032, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5288753224937106, std values: 5.143929043173429, min values: 1.7951e-06, max values: 42.892, median values: 0.24694, and quantile values: 0.25 0.060219\n0.50 0.246940\n0.75 0.931910\nName: 3033, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.409835704889937, std values: 4.698346999734566, min values: 1.8908e-06, max values: 39.48, median values: 0.23347, and quantile values: 0.25 0.063687\n0.50 0.233470\n0.75 0.849410\nName: 3034, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2383311720485535, std values: 4.745295376055655, min values: 6.5052e-07, max values: 39.566, median values: 0.15979, and quantile values: 0.25 0.050567\n0.50 0.159790\n0.75 0.613265\nName: 3035, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.426037229334591, std values: 4.784433964392735, min values: 1.43e-06, max values: 38.27, median values: 0.21454, and quantile values: 0.25 0.063117\n0.50 0.214540\n0.75 0.882805\nName: 3036, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5292048181281128, std values: 5.175233388150725, min values: 1.9416e-07, max values: 45.527, median values: 0.19138, and quantile values: 0.25 0.048162\n0.50 0.191380\n0.75 0.836140\nName: 3037, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3694498631509433, std values: 4.750464201547986, min values: 1.4269e-06, max values: 38.739, median values: 0.19391, and quantile values: 0.25 0.058458\n0.50 0.193910\n0.75 0.840480\nName: 3038, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3893990953422013, std values: 4.72307244250122, min values: 7.6341e-07, max values: 38.169, median values: 0.22945, and quantile values: 0.25 0.062996\n0.50 0.229450\n0.75 0.783870\nName: 3039, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3786591639002514, std values: 4.684958574841834, min values: 1.5464e-07, max values: 37.374, median values: 0.19111, and quantile values: 0.25 0.056677\n0.50 0.191110\n0.75 0.872965\nName: 3040, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3311785732956165, std values: 4.87446716936172, min values: 2.4343e-08, max values: 41.936, median values: 0.17282, and quantile values: 0.25 0.040406\n0.50 0.172820\n0.75 0.698535\nName: 3041, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3397561520047863, std values: 4.8034348187411195, min values: 1.9391e-08, max values: 39.584, median values: 0.14895, and quantile values: 0.25 0.045762\n0.50 0.148950\n0.75 0.699115\nName: 3042, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4401055726995597, std values: 4.864015629997203, min values: 3.8843e-07, max values: 40.279, median values: 0.20159, and quantile values: 0.25 0.054262\n0.50 0.201590\n0.75 0.856710\nName: 3043, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3649655266873586, std values: 4.642577030570032, min values: 4.3579e-07, max values: 37.013, median values: 0.21303, and quantile values: 0.25 0.05681\n0.50 0.21303\n0.75 0.77736\nName: 3044, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3612388523292451, std values: 4.79816218685784, min values: 4.6145e-07, max values: 39.279, median values: 0.18786, and quantile values: 0.25 0.054179\n0.50 0.187860\n0.75 0.772760\nName: 3045, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4503821828591195, std values: 4.998213040849004, min values: 2.2853e-06, max values: 40.277, median values: 0.22011, and quantile values: 0.25 0.070548\n0.50 0.220110\n0.75 0.846255\nName: 3046, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4530934232421384, std values: 5.047204569169313, min values: 1.4265e-06, max values: 41.699, median values: 0.19608, and quantile values: 0.25 0.063427\n0.50 0.196080\n0.75 0.851905\nName: 3047, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4233069945135222, std values: 4.597977033365284, min values: 3.0875e-07, max values: 37.964, median values: 0.19292, and quantile values: 0.25 0.061010\n0.50 0.192920\n0.75 0.845185\nName: 3048, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2967821620725157, std values: 4.9859412956664, min values: 1.8238e-07, max values: 43.912, median values: 0.14891, and quantile values: 0.25 0.035627\n0.50 0.148910\n0.75 0.693320\nName: 3049, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3459797613802515, std values: 4.790674408619611, min values: 6.259e-07, max values: 38.847, median values: 0.17526, and quantile values: 0.25 0.047996\n0.50 0.175260\n0.75 0.745505\nName: 3050, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5126803605792454, std values: 4.989366795970146, min values: 1.9043e-06, max values: 40.194, median values: 0.20813, and quantile values: 0.25 0.072177\n0.50 0.208130\n0.75 0.917100\nName: 3051, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4966981683773584, std values: 4.953263844095381, min values: 3.5631e-06, max values: 40.245, median values: 0.22681, and quantile values: 0.25 0.071143\n0.50 0.226810\n0.75 0.878275\nName: 3052, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5898580072742137, std values: 5.022948062057341, min values: 5.4386e-06, max values: 40.606, median values: 0.25646, and quantile values: 0.25 0.075195\n0.50 0.256460\n0.75 0.935630\nName: 3053, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6140897364138362, std values: 4.93922342245408, min values: 3.2546e-06, max values: 40.335, median values: 0.25164, and quantile values: 0.25 0.07628\n0.50 0.25164\n0.75 1.03605\nName: 3054, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4367371489857863, std values: 4.84470135052211, min values: 4.9924e-07, max values: 39.288, median values: 0.21012, and quantile values: 0.25 0.059989\n0.50 0.210120\n0.75 0.874030\nName: 3055, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5233069696690378, std values: 4.7158632591293275, min values: 1.8497e-08, max values: 36.485, median values: 0.2181, and quantile values: 0.25 0.052032\n0.50 0.218100\n0.75 1.046445\nName: 3056, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3623978182676542, std values: 4.956854486655193, min values: 1.9827e-08, max values: 42.829, median values: 0.17864, and quantile values: 0.25 0.048002\n0.50 0.178640\n0.75 0.709745\nName: 3057, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6048574682367922, std values: 4.7728843644500385, min values: 7.8515e-07, max values: 38.759, median values: 0.25565, and quantile values: 0.25 0.067757\n0.50 0.255650\n0.75 1.115250\nName: 3058, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3400246090728178, std values: 4.7155782142088265, min values: 1.9148e-08, max values: 38.61, median values: 0.18018, and quantile values: 0.25 0.042617\n0.50 0.180180\n0.75 0.702835\nName: 3059, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.464580626600629, std values: 4.869937417716246, min values: 1.21e-06, max values: 39.128, median values: 0.23043, and quantile values: 0.25 0.056522\n0.50 0.230430\n0.75 0.899135\nName: 3060, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.620712717144088, std values: 4.986089782898398, min values: 2.3447e-07, max values: 40.852, median values: 0.23576, and quantile values: 0.25 0.060291\n0.50 0.235760\n0.75 1.141500\nName: 3061, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4570552893937108, std values: 4.896219870806359, min values: 2.2856e-06, max values: 39.404, median values: 0.24169, and quantile values: 0.25 0.068648\n0.50 0.241690\n0.75 0.845295\nName: 3062, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6935539543559748, std values: 5.186626584982154, min values: 4.1766e-06, max values: 40.887, median values: 0.29978, and quantile values: 0.25 0.083543\n0.50 0.299780\n0.75 1.053050\nName: 3063, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.517300989966352, std values: 5.095138681890542, min values: 1.5165e-07, max values: 44.059, median values: 0.23753, and quantile values: 0.25 0.052971\n0.50 0.237530\n0.75 0.952215\nName: 3064, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.467675530936981, std values: 4.945462568703579, min values: 4.1608e-07, max values: 40.538, median values: 0.23712, and quantile values: 0.25 0.068511\n0.50 0.237120\n0.75 0.869440\nName: 3065, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.312672157645302, std values: 4.537576309861857, min values: 1.9323e-08, max values: 36.2, median values: 0.17931, and quantile values: 0.25 0.038017\n0.50 0.179310\n0.75 0.744305\nName: 3066, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3073219277103774, std values: 4.841359262296589, min values: 4.5697e-07, max values: 40.844, median values: 0.13059, and quantile values: 0.25 0.037400\n0.50 0.130590\n0.75 0.658955\nName: 3067, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4898757930586162, std values: 4.915813993744441, min values: 4.7392e-07, max values: 40.488, median values: 0.2085, and quantile values: 0.25 0.062597\n0.50 0.208500\n0.75 0.897270\nName: 3068, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3605874366683648, std values: 4.616032220073256, min values: 3.7847e-07, max values: 37.73, median values: 0.17434, and quantile values: 0.25 0.051349\n0.50 0.174340\n0.75 0.785715\nName: 3069, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4475861802339625, std values: 4.961588023039758, min values: 1.8532e-06, max values: 39.726, median values: 0.19912, and quantile values: 0.25 0.058745\n0.50 0.199120\n0.75 0.832190\nName: 3070, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4189979673772515, std values: 4.774322921942143, min values: 2.0813e-08, max values: 39.304, median values: 0.19639, and quantile values: 0.25 0.051198\n0.50 0.196390\n0.75 0.793930\nName: 3071, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7015112015685534, std values: 5.181139043895289, min values: 1.7087e-06, max values: 42.711, median values: 0.26421, and quantile values: 0.25 0.079494\n0.50 0.264210\n0.75 1.173500\nName: 3072, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4587906918880504, std values: 5.071846915738592, min values: 2.617e-06, max values: 41.587, median values: 0.19098, and quantile values: 0.25 0.052374\n0.50 0.190980\n0.75 0.803795\nName: 3073, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2736635277822075, std values: 4.516098755716985, min values: 2.0154e-08, max values: 35.812, median values: 0.15586, and quantile values: 0.25 0.036059\n0.50 0.155860\n0.75 0.644235\nName: 3074, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3149834366, std values: 4.548704571748133, min values: 1.1038e-06, max values: 38.563, median values: 0.19305, and quantile values: 0.25 0.053787\n0.50 0.193050\n0.75 0.756280\nName: 3075, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5763497399660378, std values: 5.189080274086998, min values: 1.4127e-06, max values: 44.716, median values: 0.25785, and quantile values: 0.25 0.074317\n0.50 0.257850\n0.75 0.993605\nName: 3076, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4756223330566036, std values: 4.980278569001016, min values: 2.3136e-06, max values: 40.423, median values: 0.20162, and quantile values: 0.25 0.06070\n0.50 0.20162\n0.75 0.87612\nName: 3077, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.620484106245912, std values: 5.004786195586417, min values: 1.2661e-06, max values: 39.847, median values: 0.29922, and quantile values: 0.25 0.070958\n0.50 0.299220\n0.75 1.109350\nName: 3078, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6176344084078618, std values: 5.003702879263037, min values: 4.9845e-07, max values: 41.093, median values: 0.24498, and quantile values: 0.25 0.064748\n0.50 0.244980\n0.75 1.073150\nName: 3079, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5275332059528302, std values: 4.910699093314126, min values: 1.523e-06, max values: 39.006, median values: 0.25771, and quantile values: 0.25 0.069268\n0.50 0.257710\n0.75 0.991300\nName: 3080, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3910604126159056, std values: 4.683017546590043, min values: 1.6049e-08, max values: 37.891, median values: 0.18299, and quantile values: 0.25 0.044643\n0.50 0.182990\n0.75 0.726435\nName: 3081, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2514068955955975, std values: 4.747996211516374, min values: 1.2946e-06, max values: 38.754, median values: 0.16331, and quantile values: 0.25 0.047784\n0.50 0.163310\n0.75 0.644420\nName: 3082, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8889090374408808, std values: 5.331116939168398, min values: 5.0064e-06, max values: 41.497, median values: 0.30636, and quantile values: 0.25 0.094793\n0.50 0.306360\n0.75 1.290950\nName: 3083, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.355525082224937, std values: 4.655789741123646, min values: 2.0785e-08, max values: 37.052, median values: 0.19519, and quantile values: 0.25 0.045479\n0.50 0.195190\n0.75 0.759855\nName: 3084, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.760779238208176, std values: 5.333597836318031, min values: 2.2407e-06, max values: 44.499, median values: 0.30661, and quantile values: 0.25 0.084852\n0.50 0.306610\n0.75 1.196250\nName: 3085, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3790938868637108, std values: 4.527055690632089, min values: 3.45e-08, max values: 36.717, median values: 0.2313, and quantile values: 0.25 0.055933\n0.50 0.231300\n0.75 0.843210\nName: 3086, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.422366438132327, std values: 5.0158239441923484, min values: 7.8044e-07, max values: 42.254, median values: 0.19309, and quantile values: 0.25 0.055491\n0.50 0.193090\n0.75 0.843190\nName: 3087, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4475707553345911, std values: 4.758659990209784, min values: 3.5179e-06, max values: 40.971, median values: 0.23036, and quantile values: 0.25 0.062272\n0.50 0.230360\n0.75 0.813140\nName: 3088, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5164924879980504, std values: 4.645501932050357, min values: 4.0449e-07, max values: 37.725, median values: 0.23035, and quantile values: 0.25 0.059273\n0.50 0.230350\n0.75 0.963795\nName: 3089, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5994777850937105, std values: 5.287096382828656, min values: 1.7532e-06, max values: 45.618, median values: 0.24269, and quantile values: 0.25 0.070329\n0.50 0.242690\n0.75 0.968560\nName: 3090, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5677194144389934, std values: 4.960788629861747, min values: 2.4168e-06, max values: 39.08, median values: 0.25162, and quantile values: 0.25 0.070960\n0.50 0.251620\n0.75 0.962335\nName: 3091, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5059024246232706, std values: 5.089491722889737, min values: 1.398e-06, max values: 43.261, median values: 0.21869, and quantile values: 0.25 0.066452\n0.50 0.218690\n0.75 0.919050\nName: 3092, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7005670883955977, std values: 5.279987496203588, min values: 0.0, max values: 44.793, median values: 0.27909, and quantile values: 0.25 0.075141\n0.50 0.279090\n0.75 1.151250\nName: 3093, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4628009671861633, std values: 5.045921707207829, min values: 2.3314e-06, max values: 41.233, median values: 0.22366, and quantile values: 0.25 0.066776\n0.50 0.223660\n0.75 0.826750\nName: 3094, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5784664462892453, std values: 4.927910539217553, min values: 3.3399e-07, max values: 38.829, median values: 0.25093, and quantile values: 0.25 0.06856\n0.50 0.25093\n0.75 1.05780\nName: 3095, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.542165707035912, std values: 4.643110497978014, min values: 7.8771e-07, max values: 38.049, median values: 0.24377, and quantile values: 0.25 0.070329\n0.50 0.243770\n0.75 1.072000\nName: 3096, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6358485880176101, std values: 5.083576640757568, min values: 2.8382e-06, max values: 40.778, median values: 0.25524, and quantile values: 0.25 0.074561\n0.50 0.255240\n0.75 1.119650\nName: 3097, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4500780819828933, std values: 4.843994829593076, min values: 1.587e-07, max values: 39.641, median values: 0.19509, and quantile values: 0.25 0.052385\n0.50 0.195090\n0.75 0.832190\nName: 3098, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5704152112679244, std values: 5.054363998895399, min values: 1.2732e-06, max values: 41.692, median values: 0.26016, and quantile values: 0.25 0.073716\n0.50 0.260160\n0.75 1.003525\nName: 3099, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5210716787264151, std values: 4.923610779272081, min values: 2.805e-06, max values: 39.12, median values: 0.25211, and quantile values: 0.25 0.064451\n0.50 0.252110\n0.75 0.877920\nName: 3100, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5449672783374844, std values: 5.074506126356414, min values: 9.2886e-07, max values: 42.788, median values: 0.23137, and quantile values: 0.25 0.056215\n0.50 0.231370\n0.75 0.957655\nName: 3101, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3086501438354088, std values: 4.60128508214097, min values: 5.8473e-07, max values: 37.95, median values: 0.16871, and quantile values: 0.25 0.050363\n0.50 0.168710\n0.75 0.755100\nName: 3102, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3935395397826416, std values: 4.978362039080689, min values: 6.2694e-07, max values: 41.991, median values: 0.18848, and quantile values: 0.25 0.052469\n0.50 0.188480\n0.75 0.838170\nName: 3103, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.34074774871195, std values: 4.902940611887839, min values: 2.4328e-06, max values: 39.872, median values: 0.18967, and quantile values: 0.25 0.059173\n0.50 0.189670\n0.75 0.688120\nName: 3104, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6107964721327046, std values: 4.984456841322529, min values: 3.2447e-06, max values: 38.967, median values: 0.28552, and quantile values: 0.25 0.082218\n0.50 0.285520\n0.75 1.025390\nName: 3105, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6923500703798742, std values: 5.180933890131012, min values: 1.8246e-06, max values: 42.207, median values: 0.29049, and quantile values: 0.25 0.076355\n0.50 0.290490\n0.75 1.153500\nName: 3106, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4404849836025158, std values: 4.606290201537846, min values: 1.2813e-06, max values: 38.013, median values: 0.24015, and quantile values: 0.25 0.074651\n0.50 0.240150\n0.75 0.904705\nName: 3107, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2881283635616352, std values: 4.609518210908913, min values: 1.0719e-06, max values: 38.333, median values: 0.18782, and quantile values: 0.25 0.053616\n0.50 0.187820\n0.75 0.692825\nName: 3108, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5414811703989937, std values: 5.018353338045723, min values: 7.2394e-07, max values: 41.792, median values: 0.22679, and quantile values: 0.25 0.061573\n0.50 0.226790\n0.75 0.994625\nName: 3109, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8050580868333332, std values: 5.1531260509262475, min values: 2.6356e-06, max values: 40.094, median values: 0.30797, and quantile values: 0.25 0.084474\n0.50 0.307970\n0.75 1.284250\nName: 3110, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3479721053660376, std values: 4.884784736936657, min values: 1.6399e-06, max values: 39.944, median values: 0.20641, and quantile values: 0.25 0.060057\n0.50 0.206410\n0.75 0.750085\nName: 3111, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4714491036689938, std values: 4.821691923414942, min values: 3.7357e-07, max values: 38.884, median values: 0.23302, and quantile values: 0.25 0.061845\n0.50 0.233020\n0.75 0.918075\nName: 3112, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5918571812327045, std values: 5.048122894279806, min values: 4.4793e-06, max values: 40.511, median values: 0.24125, and quantile values: 0.25 0.076784\n0.50 0.241250\n0.75 0.989810\nName: 3113, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.561973364941195, std values: 4.921462342362364, min values: 6.7915e-07, max values: 39.738, median values: 0.23351, and quantile values: 0.25 0.066232\n0.50 0.233510\n0.75 0.970480\nName: 3114, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5822524099283017, std values: 5.33205499151841, min values: 3.2251e-06, max values: 45.613, median values: 0.23398, and quantile values: 0.25 0.073225\n0.50 0.233980\n0.75 0.964260\nName: 3115, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3151405797625222, std values: 4.893625002126092, min values: 2.2301e-08, max values: 41.661, median values: 0.15018, and quantile values: 0.25 0.037569\n0.50 0.150180\n0.75 0.678220\nName: 3116, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.865582490166038, std values: 5.451358523816296, min values: 3.7761e-06, max values: 44.892, median values: 0.33906, and quantile values: 0.25 0.08961\n0.50 0.33906\n0.75 1.32725\nName: 3117, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4192937976, std values: 4.684876121161103, min values: 1.4376e-06, max values: 38.852, median values: 0.21516, and quantile values: 0.25 0.060193\n0.50 0.215160\n0.75 0.888070\nName: 3118, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4992180487712263, std values: 4.91478683370768, min values: 1.9485e-08, max values: 40.961, median values: 0.18951, and quantile values: 0.25 0.046754\n0.50 0.189510\n0.75 0.809015\nName: 3119, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3273937695006288, std values: 4.820888149884751, min values: 2.6582e-06, max values: 39.449, median values: 0.17037, and quantile values: 0.25 0.055635\n0.50 0.170370\n0.75 0.716140\nName: 3120, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6628135319408808, std values: 5.049908733617247, min values: 2.9678e-06, max values: 39.507, median values: 0.29094, and quantile values: 0.25 0.081458\n0.50 0.290940\n0.75 1.103900\nName: 3121, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4123467955442137, std values: 4.995195319139317, min values: 9.5983e-07, max values: 41.928, median values: 0.18694, and quantile values: 0.25 0.052720\n0.50 0.186940\n0.75 0.772405\nName: 3122, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.44133692315283, std values: 4.876924565522232, min values: 2.812e-06, max values: 40.361, median values: 0.22002, and quantile values: 0.25 0.060229\n0.50 0.220020\n0.75 0.849090\nName: 3123, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.458492863518868, std values: 4.798648194068273, min values: 2.1531e-06, max values: 38.865, median values: 0.23356, and quantile values: 0.25 0.070403\n0.50 0.233560\n0.75 0.881970\nName: 3124, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4896382761515723, std values: 4.677867032181385, min values: 1.1887e-06, max values: 38.868, median values: 0.21046, and quantile values: 0.25 0.06406\n0.50 0.21046\n0.75 0.91825\nName: 3125, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5766683739011256, std values: 5.031211434669841, min values: 2.8779e-08, max values: 42.241, median values: 0.25392, and quantile values: 0.25 0.061545\n0.50 0.253920\n0.75 1.083500\nName: 3126, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5234836668081762, std values: 4.89083273435731, min values: 2.4594e-06, max values: 39.111, median values: 0.24459, and quantile values: 0.25 0.075463\n0.50 0.244590\n0.75 0.966170\nName: 3127, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4699798735622642, std values: 5.143632689760356, min values: 2.5455e-06, max values: 43.46, median values: 0.22241, and quantile values: 0.25 0.063394\n0.50 0.222410\n0.75 0.875210\nName: 3128, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4641580834349683, std values: 4.804226240264892, min values: 1.8596e-07, max values: 38.412, median values: 0.19255, and quantile values: 0.25 0.052570\n0.50 0.192550\n0.75 0.855785\nName: 3129, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5806593688313524, std values: 4.823057518765266, min values: 2.4485e-08, max values: 37.751, median values: 0.26149, and quantile values: 0.25 0.062392\n0.50 0.261490\n0.75 1.044700\nName: 3130, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5625102681522012, std values: 4.919686070264258, min values: 2.638e-06, max values: 39.005, median values: 0.23368, and quantile values: 0.25 0.071133\n0.50 0.233680\n0.75 1.014850\nName: 3131, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4947967934691826, std values: 4.913196402536868, min values: 3.0515e-06, max values: 40.685, median values: 0.20574, and quantile values: 0.25 0.064372\n0.50 0.205740\n0.75 0.859785\nName: 3132, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.77759413197239, std values: 5.131523613143912, min values: 9.0481e-07, max values: 41.845, median values: 0.32745, and quantile values: 0.25 0.094768\n0.50 0.327450\n0.75 1.227900\nName: 3133, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1803429208186982, std values: 4.614828656309073, min values: 5.8583e-08, max values: 36.924, median values: 0.1394, and quantile values: 0.25 0.040059\n0.50 0.139400\n0.75 0.608520\nName: 3134, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5746932011396857, std values: 4.912493578217779, min values: 6.1521e-07, max values: 38.836, median values: 0.28304, and quantile values: 0.25 0.071477\n0.50 0.283040\n0.75 1.040550\nName: 3135, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.414899282772327, std values: 4.680166247439993, min values: 1.3688e-06, max values: 38.594, median values: 0.20349, and quantile values: 0.25 0.062120\n0.50 0.203490\n0.75 0.867945\nName: 3136, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.253314689277044, std values: 4.43175181493232, min values: 3.9225e-07, max values: 37.138, median values: 0.18163, and quantile values: 0.25 0.053306\n0.50 0.181630\n0.75 0.701900\nName: 3137, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5393719064718867, std values: 4.971088970013279, min values: 5.1823e-07, max values: 41.538, median values: 0.22957, and quantile values: 0.25 0.066190\n0.50 0.229570\n0.75 0.898695\nName: 3138, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3302135578144654, std values: 5.035341914129797, min values: 2.8773e-06, max values: 41.135, median values: 0.18535, and quantile values: 0.25 0.057219\n0.50 0.185350\n0.75 0.650630\nName: 3139, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5493181050867926, std values: 5.002370094687587, min values: 1.6399e-06, max values: 40.567, median values: 0.28304, and quantile values: 0.25 0.072744\n0.50 0.283040\n0.75 0.960135\nName: 3140, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.645535472663585, std values: 4.90664191671021, min values: 3.2601e-07, max values: 38.356, median values: 0.26204, and quantile values: 0.25 0.06205\n0.50 0.26204\n0.75 1.17415\nName: 3141, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5023344368513838, std values: 4.763888921247517, min values: 3.1447e-07, max values: 37.543, median values: 0.2346, and quantile values: 0.25 0.059095\n0.50 0.234600\n0.75 0.928955\nName: 3142, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5661429435713208, std values: 4.862631670526233, min values: 1.762e-08, max values: 39.218, median values: 0.2182, and quantile values: 0.25 0.047757\n0.50 0.218200\n0.75 1.071400\nName: 3143, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3926065286270441, std values: 4.832513044353302, min values: 1.9133e-06, max values: 38.894, median values: 0.19927, and quantile values: 0.25 0.052082\n0.50 0.199270\n0.75 0.793030\nName: 3144, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6550880582591196, std values: 5.132320137817932, min values: 2.0105e-06, max values: 41.802, median values: 0.26517, and quantile values: 0.25 0.075352\n0.50 0.265170\n0.75 1.139150\nName: 3145, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3091371650315096, std values: 4.804722738819732, min values: 2.9143e-07, max values: 39.736, median values: 0.16879, and quantile values: 0.25 0.043586\n0.50 0.168790\n0.75 0.675545\nName: 3146, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.376448633634654, std values: 4.771782387389748, min values: 2.1661e-07, max values: 38.903, median values: 0.17577, and quantile values: 0.25 0.059495\n0.50 0.175770\n0.75 0.870145\nName: 3147, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.513411609293962, std values: 4.769573578836557, min values: 9.5414e-07, max values: 38.46, median values: 0.23967, and quantile values: 0.25 0.077661\n0.50 0.239670\n0.75 0.995525\nName: 3148, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7034233181949685, std values: 5.037336291777225, min values: 1.761e-06, max values: 39.753, median values: 0.2731, and quantile values: 0.25 0.07338\n0.50 0.27310\n0.75 1.20480\nName: 3149, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4149468671402516, std values: 4.92490447331521, min values: 2.8844e-06, max values: 40.533, median values: 0.19599, and quantile values: 0.25 0.056636\n0.50 0.195990\n0.75 0.810295\nName: 3150, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3919740435547172, std values: 4.743715602830731, min values: 1.9295e-06, max values: 39.014, median values: 0.19618, and quantile values: 0.25 0.060159\n0.50 0.196180\n0.75 0.830290\nName: 3151, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6064736368389938, std values: 5.13454356971475, min values: 2.7134e-06, max values: 42.255, median values: 0.259, and quantile values: 0.25 0.074985\n0.50 0.259000\n0.75 1.057850\nName: 3152, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4058476927991823, std values: 4.948244633442725, min values: 9.1817e-07, max values: 40.872, median values: 0.21659, and quantile values: 0.25 0.066919\n0.50 0.216590\n0.75 0.756385\nName: 3153, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.537628256659371, std values: 5.100167121047239, min values: 5.9384e-07, max values: 43.198, median values: 0.23098, and quantile values: 0.25 0.063177\n0.50 0.230980\n0.75 0.860980\nName: 3154, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4244145521761007, std values: 4.726478855526046, min values: 1.7375e-06, max values: 38.265, median values: 0.22437, and quantile values: 0.25 0.064746\n0.50 0.224370\n0.75 0.856290\nName: 3155, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.531283324854654, std values: 4.915467080414783, min values: 6.9079e-07, max values: 39.91, median values: 0.24857, and quantile values: 0.25 0.067415\n0.50 0.248570\n0.75 1.001380\nName: 3156, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6205136098130186, std values: 4.9783999011150915, min values: 6.8477e-07, max values: 39.535, median values: 0.25845, and quantile values: 0.25 0.070522\n0.50 0.258450\n0.75 1.057100\nName: 3157, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4198601091138363, std values: 4.793565534158472, min values: 1.7915e-06, max values: 39.13, median values: 0.20194, and quantile values: 0.25 0.056162\n0.50 0.201940\n0.75 0.883790\nName: 3158, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7328639671213837, std values: 5.245212439908763, min values: 7.5743e-06, max values: 41.244, median values: 0.29133, and quantile values: 0.25 0.080446\n0.50 0.291330\n0.75 1.061900\nName: 3159, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3560998220894969, std values: 4.91007584087801, min values: 4.785e-07, max values: 41.41, median values: 0.16605, and quantile values: 0.25 0.039896\n0.50 0.166050\n0.75 0.699340\nName: 3160, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2307928864074213, std values: 4.497790842387308, min values: 1.9639e-07, max values: 37.292, median values: 0.18057, and quantile values: 0.25 0.045776\n0.50 0.180570\n0.75 0.671725\nName: 3161, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1498198419035852, std values: 4.532605137165262, min values: 8.8937e-07, max values: 37.537, median values: 0.14899, and quantile values: 0.25 0.048459\n0.50 0.148990\n0.75 0.522475\nName: 3162, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4165936566794965, std values: 4.844761363651382, min values: 3.3774e-07, max values: 39.266, median values: 0.1976, and quantile values: 0.25 0.050822\n0.50 0.197600\n0.75 0.803115\nName: 3163, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7509679504389934, std values: 5.16822999022018, min values: 4.3997e-06, max values: 40.341, median values: 0.3119, and quantile values: 0.25 0.084786\n0.50 0.311900\n0.75 1.231350\nName: 3164, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6166824260685537, std values: 5.160493265385028, min values: 4.3408e-06, max values: 41.535, median values: 0.28141, and quantile values: 0.25 0.075300\n0.50 0.281410\n0.75 0.984235\nName: 3165, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3057348909840252, std values: 4.54883671747964, min values: 3.5836e-07, max values: 37.539, median values: 0.18388, and quantile values: 0.25 0.045712\n0.50 0.183880\n0.75 0.771575\nName: 3166, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.315437278220063, std values: 4.888684471353062, min values: 2.5319e-07, max values: 41.722, median values: 0.15524, and quantile values: 0.25 0.042938\n0.50 0.155240\n0.75 0.688765\nName: 3167, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.389796330044654, std values: 4.973905371170225, min values: 2.7216e-06, max values: 40.293, median values: 0.19789, and quantile values: 0.25 0.056339\n0.50 0.197890\n0.75 0.749975\nName: 3168, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.387272959819497, std values: 4.502149070101784, min values: 1.0967e-06, max values: 37.473, median values: 0.19851, and quantile values: 0.25 0.063627\n0.50 0.198510\n0.75 0.860890\nName: 3169, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2305692929198742, std values: 4.652833858866878, min values: 6.7126e-07, max values: 37.686, median values: 0.14294, and quantile values: 0.25 0.043505\n0.50 0.142940\n0.75 0.669930\nName: 3170, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4631525942018868, std values: 4.988027051178295, min values: 2.385e-06, max values: 40.119, median values: 0.20903, and quantile values: 0.25 0.063299\n0.50 0.209030\n0.75 0.835135\nName: 3171, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3314329151742137, std values: 4.792721841940275, min values: 2.3125e-06, max values: 40.321, median values: 0.17533, and quantile values: 0.25 0.056734\n0.50 0.175330\n0.75 0.700275\nName: 3172, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.634839506612579, std values: 4.863321289508048, min values: 1.0167e-06, max values: 38.361, median values: 0.26449, and quantile values: 0.25 0.072421\n0.50 0.264490\n0.75 1.147750\nName: 3173, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4731821473012578, std values: 5.03930040249475, min values: 4.8079e-06, max values: 41.3, median values: 0.22482, and quantile values: 0.25 0.063170\n0.50 0.224820\n0.75 0.759315\nName: 3174, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.30860838896522, std values: 4.781552455017256, min values: 7.225e-08, max values: 39.209, median values: 0.14955, and quantile values: 0.25 0.038768\n0.50 0.149550\n0.75 0.644870\nName: 3175, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2621472888944025, std values: 4.676719748096193, min values: 1.9741e-07, max values: 37.26, median values: 0.14262, and quantile values: 0.25 0.037751\n0.50 0.142620\n0.75 0.678770\nName: 3176, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5940633741987422, std values: 4.962981847223663, min values: 1.9933e-06, max values: 39.008, median values: 0.24769, and quantile values: 0.25 0.073616\n0.50 0.247690\n0.75 1.019550\nName: 3177, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.396344814881132, std values: 4.892248375351947, min values: 1.3494e-06, max values: 39.7, median values: 0.21978, and quantile values: 0.25 0.059434\n0.50 0.219780\n0.75 0.802860\nName: 3178, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.486926515232453, std values: 5.161968440570733, min values: 7.8196e-07, max values: 45.361, median values: 0.22435, and quantile values: 0.25 0.059582\n0.50 0.224350\n0.75 0.878915\nName: 3179, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5822496268858492, std values: 4.83836381239844, min values: 7.2505e-07, max values: 37.661, median values: 0.2661, and quantile values: 0.25 0.06829\n0.50 0.26610\n0.75 1.05645\nName: 3180, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4491017236378614, std values: 4.868998250746286, min values: 9.8612e-07, max values: 39.035, median values: 0.21937, and quantile values: 0.25 0.063486\n0.50 0.219370\n0.75 0.841410\nName: 3181, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7094979694477987, std values: 5.0732811255421995, min values: 3.0903e-06, max values: 39.922, median values: 0.32109, and quantile values: 0.25 0.092719\n0.50 0.321090\n0.75 1.188850\nName: 3182, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4542329165415095, std values: 4.866231849534975, min values: 5.8786e-06, max values: 40.638, median values: 0.22826, and quantile values: 0.25 0.06491\n0.50 0.22826\n0.75 0.81156\nName: 3183, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.221860078554088, std values: 4.676885510101322, min values: 1.1583e-06, max values: 38.739, median values: 0.14899, and quantile values: 0.25 0.045708\n0.50 0.148990\n0.75 0.627455\nName: 3184, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3550481978361006, std values: 4.666630807856923, min values: 6.5804e-07, max values: 38.45, median values: 0.1914, and quantile values: 0.25 0.055698\n0.50 0.191400\n0.75 0.824495\nName: 3185, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.412874122302264, std values: 4.9800474047259, min values: 3.8816e-07, max values: 42.176, median values: 0.1935, and quantile values: 0.25 0.056466\n0.50 0.193500\n0.75 0.773555\nName: 3186, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.629034519271069, std values: 4.889545271538303, min values: 4.1343e-06, max values: 40.331, median values: 0.25479, and quantile values: 0.25 0.077235\n0.50 0.254790\n0.75 1.040600\nName: 3187, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5916542181320754, std values: 5.091617085225845, min values: 2.5995e-06, max values: 40.503, median values: 0.28281, and quantile values: 0.25 0.070844\n0.50 0.282810\n0.75 0.990605\nName: 3188, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.428586969232264, std values: 5.049965242044121, min values: 1.9253e-07, max values: 43.578, median values: 0.19142, and quantile values: 0.25 0.055421\n0.50 0.191420\n0.75 0.805810\nName: 3189, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.468023009623717, std values: 4.8359780396165375, min values: 2.2581e-08, max values: 39.443, median values: 0.2422, and quantile values: 0.25 0.051227\n0.50 0.242200\n0.75 0.954765\nName: 3190, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5674978163723272, std values: 5.174971253857555, min values: 1.2148e-06, max values: 43.902, median values: 0.22107, and quantile values: 0.25 0.064631\n0.50 0.221070\n0.75 0.965870\nName: 3191, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.457749677590912, std values: 4.803201821494995, min values: 5.6865e-08, max values: 38.679, median values: 0.22527, and quantile values: 0.25 0.055711\n0.50 0.225270\n0.75 0.907060\nName: 3192, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6843529074591195, std values: 5.164218746547701, min values: 2.0462e-06, max values: 42.044, median values: 0.26765, and quantile values: 0.25 0.081476\n0.50 0.267650\n0.75 1.126800\nName: 3193, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6645433152792455, std values: 5.075531714108029, min values: 2.94e-07, max values: 42.309, median values: 0.27151, and quantile values: 0.25 0.07278\n0.50 0.27151\n0.75 1.12565\nName: 3194, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4148089499930818, std values: 5.022414755490063, min values: 1.2829e-06, max values: 42.136, median values: 0.19098, and quantile values: 0.25 0.057530\n0.50 0.190980\n0.75 0.782105\nName: 3195, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5023254186798742, std values: 5.007307905725746, min values: 2.2839e-06, max values: 39.963, median values: 0.22985, and quantile values: 0.25 0.060059\n0.50 0.229850\n0.75 0.927040\nName: 3196, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3383510137938364, std values: 4.772169855753001, min values: 2.1538e-07, max values: 38.625, median values: 0.17808, and quantile values: 0.25 0.043253\n0.50 0.178080\n0.75 0.681665\nName: 3197, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.632472886028302, std values: 4.846512425406035, min values: 1.2287e-06, max values: 38.549, median values: 0.27158, and quantile values: 0.25 0.07874\n0.50 0.27158\n0.75 1.12900\nName: 3198, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3959687109314467, std values: 4.648667184931184, min values: 1.7998e-06, max values: 39.33, median values: 0.22758, and quantile values: 0.25 0.061891\n0.50 0.227580\n0.75 0.919775\nName: 3199, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2993915197157233, std values: 4.94637569506491, min values: 1.2709e-06, max values: 41.25, median values: 0.17637, and quantile values: 0.25 0.053164\n0.50 0.176370\n0.75 0.689980\nName: 3200, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7110117429383647, std values: 5.166366976219352, min values: 4.4062e-06, max values: 40.577, median values: 0.27816, and quantile values: 0.25 0.075011\n0.50 0.278160\n0.75 1.107300\nName: 3201, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.64558465881717, std values: 5.185702832891155, min values: 3.8683e-07, max values: 44.903, median values: 0.27905, and quantile values: 0.25 0.068757\n0.50 0.279050\n0.75 1.076050\nName: 3202, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5517558655947172, std values: 5.0821416832847905, min values: 6.1396e-07, max values: 42.965, median values: 0.24938, and quantile values: 0.25 0.069697\n0.50 0.249380\n0.75 0.929380\nName: 3203, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.500070038769182, std values: 4.7888408735608055, min values: 1.2008e-06, max values: 38.971, median values: 0.22725, and quantile values: 0.25 0.061328\n0.50 0.227250\n0.75 0.989315\nName: 3204, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3327742826578617, std values: 4.686733785101121, min values: 2.3681e-06, max values: 39.726, median values: 0.18571, and quantile values: 0.25 0.054538\n0.50 0.185710\n0.75 0.719185\nName: 3205, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4025554071383648, std values: 4.560316299804839, min values: 1.2604e-06, max values: 39.393, median values: 0.19847, and quantile values: 0.25 0.061656\n0.50 0.198470\n0.75 0.866405\nName: 3206, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5560594129967926, std values: 4.748965011500093, min values: 5.0829e-07, max values: 37.141, median values: 0.2913, and quantile values: 0.25 0.071118\n0.50 0.291300\n0.75 1.022100\nName: 3207, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3782235427709058, std values: 4.9390091236008695, min values: 3.3654e-08, max values: 42.302, median values: 0.19534, and quantile values: 0.25 0.044142\n0.50 0.195340\n0.75 0.796790\nName: 3208, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4441736478433964, std values: 5.1298047878173465, min values: 1.8865e-06, max values: 43.657, median values: 0.22214, and quantile values: 0.25 0.061899\n0.50 0.222140\n0.75 0.836670\nName: 3209, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.64113774575283, std values: 5.260970874491665, min values: 2.5768e-06, max values: 43.176, median values: 0.26257, and quantile values: 0.25 0.071305\n0.50 0.262570\n0.75 1.050300\nName: 3210, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.322125369165912, std values: 4.631003902591285, min values: 3.7408e-07, max values: 37.051, median values: 0.18908, and quantile values: 0.25 0.049139\n0.50 0.189080\n0.75 0.787815\nName: 3211, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5320357147227672, std values: 4.8301416062217495, min values: 7.1762e-07, max values: 38.178, median values: 0.24948, and quantile values: 0.25 0.066478\n0.50 0.249480\n0.75 1.023800\nName: 3212, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7327900585138365, std values: 5.055538788629734, min values: 1.5812e-06, max values: 39.348, median values: 0.28928, and quantile values: 0.25 0.083702\n0.50 0.289280\n0.75 1.285550\nName: 3213, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3844339069184906, std values: 4.8496645128666485, min values: 3.5694e-07, max values: 39.815, median values: 0.19377, and quantile values: 0.25 0.051814\n0.50 0.193770\n0.75 0.754610\nName: 3214, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.294209850698742, std values: 4.859204908400486, min values: 2.4302e-06, max values: 40.167, median values: 0.17995, and quantile values: 0.25 0.053632\n0.50 0.179950\n0.75 0.621130\nName: 3215, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4680717692879497, std values: 4.755230808562699, min values: 2.7214e-08, max values: 38.007, median values: 0.21255, and quantile values: 0.25 0.052352\n0.50 0.212550\n0.75 0.920920\nName: 3216, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5620003132779248, std values: 4.924499462003962, min values: 4.0459e-07, max values: 39.224, median values: 0.22935, and quantile values: 0.25 0.056631\n0.50 0.229350\n0.75 1.000970\nName: 3217, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5463045309635222, std values: 5.322629585250147, min values: 3.7087e-06, max values: 44.689, median values: 0.22875, and quantile values: 0.25 0.068992\n0.50 0.228750\n0.75 0.923395\nName: 3218, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4468008148232705, std values: 4.827459797731736, min values: 2.6895e-06, max values: 40.258, median values: 0.21208, and quantile values: 0.25 0.063581\n0.50 0.212080\n0.75 0.888075\nName: 3219, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4987990820547168, std values: 4.954497191244433, min values: 2.3594e-06, max values: 39.476, median values: 0.21958, and quantile values: 0.25 0.066793\n0.50 0.219580\n0.75 0.907940\nName: 3220, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2640182884113207, std values: 4.656966293374412, min values: 1.6858e-06, max values: 38.618, median values: 0.20294, and quantile values: 0.25 0.058505\n0.50 0.202940\n0.75 0.683005\nName: 3221, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.429225381109434, std values: 4.892282787677637, min values: 2.5029e-06, max values: 39.898, median values: 0.19756, and quantile values: 0.25 0.047548\n0.50 0.197560\n0.75 0.786950\nName: 3222, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5927114881163522, std values: 4.938031514962199, min values: 1.1109e-06, max values: 39.257, median values: 0.27957, and quantile values: 0.25 0.07450\n0.50 0.27957\n0.75 1.07575\nName: 3223, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2742344847703773, std values: 4.658404658007026, min values: 1.616e-08, max values: 37.117, median values: 0.12619, and quantile values: 0.25 0.032354\n0.50 0.126190\n0.75 0.669715\nName: 3224, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2994420465037106, std values: 4.689100341753744, min values: 4.1299e-07, max values: 37.651, median values: 0.18628, and quantile values: 0.25 0.050755\n0.50 0.186280\n0.75 0.705015\nName: 3225, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5695304627285533, std values: 4.877328472015306, min values: 8.3414e-07, max values: 38.179, median values: 0.25913, and quantile values: 0.25 0.065016\n0.50 0.259130\n0.75 0.995735\nName: 3226, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7034978252119497, std values: 4.946810148271566, min values: 2.5341e-06, max values: 38.538, median values: 0.30836, and quantile values: 0.25 0.091466\n0.50 0.308360\n0.75 1.177700\nName: 3227, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1983378068347168, std values: 4.825315016890983, min values: 5.2972e-07, max values: 39.356, median values: 0.14411, and quantile values: 0.25 0.040021\n0.50 0.144110\n0.75 0.592730\nName: 3228, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3606534398003145, std values: 4.717324778876804, min values: 5.1585e-07, max values: 38.048, median values: 0.17831, and quantile values: 0.25 0.05563\n0.50 0.17831\n0.75 0.76627\nName: 3229, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3299486929890565, std values: 4.639435313941008, min values: 6.1006e-07, max values: 36.973, median values: 0.19328, and quantile values: 0.25 0.048981\n0.50 0.193280\n0.75 0.798605\nName: 3230, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.732678059119497, std values: 5.0001120790029585, min values: 1.9479e-06, max values: 38.308, median values: 0.31459, and quantile values: 0.25 0.094863\n0.50 0.314590\n0.75 1.204000\nName: 3231, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.259649471644654, std values: 4.520984215136425, min values: 1.2012e-06, max values: 38.908, median values: 0.1813, and quantile values: 0.25 0.045727\n0.50 0.181300\n0.75 0.680305\nName: 3232, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4694476231540254, std values: 4.955314874159651, min values: 7.0619e-07, max values: 41.212, median values: 0.1878, and quantile values: 0.25 0.055488\n0.50 0.187800\n0.75 0.796350\nName: 3233, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7043924368635224, std values: 5.025936059877334, min values: 3.5505e-06, max values: 39.469, median values: 0.28396, and quantile values: 0.25 0.086383\n0.50 0.283960\n0.75 1.146200\nName: 3234, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.53870032405283, std values: 4.851604183377283, min values: 1.0304e-06, max values: 38.725, median values: 0.2679, and quantile values: 0.25 0.06596\n0.50 0.26790\n0.75 1.04345\nName: 3235, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5446003812333335, std values: 4.794563644308211, min values: 3.0601e-06, max values: 39.781, median values: 0.28688, and quantile values: 0.25 0.074691\n0.50 0.286880\n0.75 0.963120\nName: 3236, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.611981134828302, std values: 5.112355482232644, min values: 3.7986e-06, max values: 40.216, median values: 0.25, and quantile values: 0.25 0.075688\n0.50 0.250000\n0.75 0.944730\nName: 3237, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6471996395037736, std values: 5.067235139784672, min values: 3.6675e-06, max values: 40.33, median values: 0.25951, and quantile values: 0.25 0.078736\n0.50 0.259510\n0.75 1.084500\nName: 3238, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5475105615314464, std values: 4.9297997464188255, min values: 1.4629e-06, max values: 39.254, median values: 0.24003, and quantile values: 0.25 0.074203\n0.50 0.240030\n0.75 0.964740\nName: 3239, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5100305039596855, std values: 4.799770736276499, min values: 2.2459e-07, max values: 37.792, median values: 0.23213, and quantile values: 0.25 0.057978\n0.50 0.232130\n0.75 0.922485\nName: 3240, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5350195612867925, std values: 4.914655173052976, min values: 1.4907e-06, max values: 39.012, median values: 0.26427, and quantile values: 0.25 0.057739\n0.50 0.264270\n0.75 0.976900\nName: 3241, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6814180015018867, std values: 5.058028287178676, min values: 7.495e-07, max values: 41.434, median values: 0.30612, and quantile values: 0.25 0.085143\n0.50 0.306120\n0.75 1.108200\nName: 3242, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6657006943180501, std values: 5.040485886012011, min values: 6.9107e-07, max values: 40.813, median values: 0.29438, and quantile values: 0.25 0.066665\n0.50 0.294380\n0.75 1.143800\nName: 3243, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7154948833710693, std values: 5.0679941115873675, min values: 2.8059e-06, max values: 39.792, median values: 0.32001, and quantile values: 0.25 0.082358\n0.50 0.320010\n0.75 1.231850\nName: 3244, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.496185134814887, std values: 4.971641308186991, min values: 5.8167e-08, max values: 42.072, median values: 0.20513, and quantile values: 0.25 0.053163\n0.50 0.205130\n0.75 0.889285\nName: 3245, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4920311807044024, std values: 4.807810263331766, min values: 1.271e-06, max values: 38.826, median values: 0.20609, and quantile values: 0.25 0.060894\n0.50 0.206090\n0.75 0.933660\nName: 3246, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5527358844459123, std values: 5.134463268823642, min values: 3.0921e-06, max values: 41.411, median values: 0.22318, and quantile values: 0.25 0.068776\n0.50 0.223180\n0.75 0.898765\nName: 3247, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4530115420092264, std values: 4.795446170743639, min values: 2.8837e-08, max values: 38.914, median values: 0.21484, and quantile values: 0.25 0.051557\n0.50 0.214840\n0.75 0.938475\nName: 3248, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3390485588849057, std values: 4.598018454395398, min values: 1.1054e-06, max values: 38.071, median values: 0.20076, and quantile values: 0.25 0.054912\n0.50 0.200760\n0.75 0.739240\nName: 3249, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3224505135895597, std values: 4.676029952446398, min values: 6.259e-07, max values: 37.446, median values: 0.16893, and quantile values: 0.25 0.050378\n0.50 0.168930\n0.75 0.767330\nName: 3250, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2538413588270128, std values: 4.663676552899984, min values: 7.0895e-08, max values: 37.334, median values: 0.151, and quantile values: 0.25 0.039897\n0.50 0.151000\n0.75 0.634730\nName: 3251, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.46098162669239, std values: 4.971869623267269, min values: 4.4389e-07, max values: 41.537, median values: 0.22413, and quantile values: 0.25 0.055729\n0.50 0.224130\n0.75 0.862060\nName: 3252, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5925474730006288, std values: 4.937265923341445, min values: 1.0941e-06, max values: 39.191, median values: 0.23663, and quantile values: 0.25 0.068759\n0.50 0.236630\n0.75 1.074000\nName: 3253, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3906089241553459, std values: 4.739247914673329, min values: 2.2599e-06, max values: 40.174, median values: 0.22269, and quantile values: 0.25 0.055789\n0.50 0.222690\n0.75 0.810685\nName: 3254, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4245945498509436, std values: 4.967070180952374, min values: 5.3769e-06, max values: 41.375, median values: 0.20656, and quantile values: 0.25 0.065254\n0.50 0.206560\n0.75 0.719065\nName: 3255, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6186890685147797, std values: 5.120680781987515, min values: 4.8535e-07, max values: 43.284, median values: 0.245, and quantile values: 0.25 0.062208\n0.50 0.245000\n0.75 0.989990\nName: 3256, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3740255042839624, std values: 4.711701026654328, min values: 7.8325e-07, max values: 38.086, median values: 0.18971, and quantile values: 0.25 0.055710\n0.50 0.189710\n0.75 0.849085\nName: 3257, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3843449075383647, std values: 4.810841186111971, min values: 1.645e-06, max values: 38.403, median values: 0.20148, and quantile values: 0.25 0.054149\n0.50 0.201480\n0.75 0.801030\nName: 3258, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5713534801889308, std values: 5.024078896951771, min values: 2.9924e-07, max values: 42.038, median values: 0.26025, and quantile values: 0.25 0.057383\n0.50 0.260250\n0.75 0.958385\nName: 3259, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3414133974119495, std values: 5.034741748823752, min values: 1.5818e-06, max values: 41.871, median values: 0.17702, and quantile values: 0.25 0.055584\n0.50 0.177020\n0.75 0.725155\nName: 3260, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4011834956345912, std values: 4.8394954799384005, min values: 2.7511e-06, max values: 39.907, median values: 0.20349, and quantile values: 0.25 0.065115\n0.50 0.203490\n0.75 0.708535\nName: 3261, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6110042972861633, std values: 5.10319667618479, min values: 1.0304e-06, max values: 41.799, median values: 0.22502, and quantile values: 0.25 0.065048\n0.50 0.225020\n0.75 1.112200\nName: 3262, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.502505802027044, std values: 5.067904403289216, min values: 1.8715e-06, max values: 41.89, median values: 0.24424, and quantile values: 0.25 0.061857\n0.50 0.244240\n0.75 0.885505\nName: 3263, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5216556470339622, std values: 5.005980591393163, min values: 1.8379e-06, max values: 40.807, median values: 0.23758, and quantile values: 0.25 0.070771\n0.50 0.237580\n0.75 0.979825\nName: 3264, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5738126427924528, std values: 5.020888424824122, min values: 1.4273e-06, max values: 40.54, median values: 0.23728, and quantile values: 0.25 0.073091\n0.50 0.237280\n0.75 1.026650\nName: 3265, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3131669145471698, std values: 4.728668211547986, min values: 1.3784e-06, max values: 38.668, median values: 0.17791, and quantile values: 0.25 0.059982\n0.50 0.177910\n0.75 0.723385\nName: 3266, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5399123412333329, std values: 4.766556406669253, min values: 2.1365e-06, max values: 39.876, median values: 0.26972, and quantile values: 0.25 0.077104\n0.50 0.269720\n0.75 0.982385\nName: 3267, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6903158014330186, std values: 5.057803126529879, min values: 4.7515e-07, max values: 41.012, median values: 0.24775, and quantile values: 0.25 0.067848\n0.50 0.247750\n0.75 1.179150\nName: 3268, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4880585105113209, std values: 5.261152728837157, min values: 1.2732e-06, max values: 46.184, median values: 0.20854, and quantile values: 0.25 0.061796\n0.50 0.208540\n0.75 0.850680\nName: 3269, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3022325961132075, std values: 4.821765763966711, min values: 1.889e-06, max values: 38.774, median values: 0.18105, and quantile values: 0.25 0.056900\n0.50 0.181050\n0.75 0.641845\nName: 3270, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3985517878830187, std values: 4.854163136377342, min values: 1.6735e-06, max values: 39.508, median values: 0.2236, and quantile values: 0.25 0.057318\n0.50 0.223600\n0.75 0.841285\nName: 3271, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4984298580210063, std values: 4.873519126054931, min values: 4.4734e-07, max values: 39.291, median values: 0.22487, and quantile values: 0.25 0.062893\n0.50 0.224870\n0.75 0.982820\nName: 3272, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5163649774864778, std values: 4.940356167822403, min values: 8.8715e-07, max values: 39.704, median values: 0.21705, and quantile values: 0.25 0.064809\n0.50 0.217050\n0.75 0.926965\nName: 3273, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.740442490990566, std values: 5.388613386511183, min values: 4.7485e-06, max values: 43.934, median values: 0.2988, and quantile values: 0.25 0.081919\n0.50 0.298800\n0.75 1.103690\nName: 3274, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5477431578672958, std values: 5.37038007055274, min values: 3.5352e-06, max values: 46.018, median values: 0.22105, and quantile values: 0.25 0.063193\n0.50 0.221050\n0.75 0.897455\nName: 3275, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7391188797297485, std values: 5.210542865642904, min values: 3.4923e-07, max values: 43.612, median values: 0.26229, and quantile values: 0.25 0.070924\n0.50 0.262290\n0.75 1.242600\nName: 3276, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.461621925120755, std values: 4.995768853145364, min values: 1.9018e-06, max values: 41.125, median values: 0.21653, and quantile values: 0.25 0.060697\n0.50 0.216530\n0.75 0.844545\nName: 3277, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5900528361844026, std values: 4.900768265007378, min values: 7.0252e-07, max values: 38.394, median values: 0.27876, and quantile values: 0.25 0.077352\n0.50 0.278760\n0.75 1.103150\nName: 3278, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3834727965262894, std values: 4.901321665165124, min values: 5.4218e-07, max values: 40.357, median values: 0.20099, and quantile values: 0.25 0.054323\n0.50 0.200990\n0.75 0.748260\nName: 3279, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.411735619853459, std values: 4.529745373274807, min values: 2.6375e-06, max values: 38.807, median values: 0.22602, and quantile values: 0.25 0.07466\n0.50 0.22602\n0.75 0.83656\nName: 3280, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.50275035686478, std values: 4.845544725114327, min values: 1.1873e-06, max values: 38.386, median values: 0.22616, and quantile values: 0.25 0.074914\n0.50 0.226160\n0.75 0.952225\nName: 3281, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5812735237301885, std values: 5.039253789406474, min values: 4.1011e-06, max values: 40.358, median values: 0.23734, and quantile values: 0.25 0.074671\n0.50 0.237340\n0.75 0.979835\nName: 3282, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.546152839128302, std values: 5.031071748524307, min values: 4.8052e-06, max values: 40.308, median values: 0.23496, and quantile values: 0.25 0.081566\n0.50 0.234960\n0.75 0.880070\nName: 3283, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.439288804598742, std values: 4.8359322580736395, min values: 1.254e-06, max values: 38.602, median values: 0.25387, and quantile values: 0.25 0.066958\n0.50 0.253870\n0.75 0.881245\nName: 3284, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4559279151421383, std values: 5.019128559053159, min values: 3.804e-06, max values: 40.22, median values: 0.22895, and quantile values: 0.25 0.070015\n0.50 0.228950\n0.75 0.783295\nName: 3285, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7403760267962265, std values: 5.0811083955335725, min values: 3.5665e-06, max values: 39.556, median values: 0.28812, and quantile values: 0.25 0.081075\n0.50 0.288120\n0.75 1.201200\nName: 3286, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4795059357314464, std values: 4.97227934363692, min values: 1.7951e-06, max values: 39.654, median values: 0.24244, and quantile values: 0.25 0.065497\n0.50 0.242440\n0.75 0.871770\nName: 3287, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4711233040509435, std values: 4.937379811114098, min values: 1.1035e-06, max values: 40.461, median values: 0.21962, and quantile values: 0.25 0.066293\n0.50 0.219620\n0.75 0.784835\nName: 3288, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4686158659754718, std values: 5.129814925083756, min values: 2.8906e-06, max values: 43.065, median values: 0.21232, and quantile values: 0.25 0.061188\n0.50 0.212320\n0.75 0.849025\nName: 3289, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4215383181056604, std values: 4.7752932864963515, min values: 2.5594e-06, max values: 40.248, median values: 0.22324, and quantile values: 0.25 0.067305\n0.50 0.223240\n0.75 0.853180\nName: 3290, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.641242188189308, std values: 5.059686813517633, min values: 1.127e-07, max values: 41.795, median values: 0.26777, and quantile values: 0.25 0.06756\n0.50 0.26777\n0.75 1.13430\nName: 3291, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.431450998655409, std values: 5.00375622873067, min values: 2.0471e-07, max values: 42.33, median values: 0.19465, and quantile values: 0.25 0.056235\n0.50 0.194650\n0.75 0.781170\nName: 3292, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6865965493578616, std values: 4.954851075013061, min values: 1.3298e-06, max values: 38.877, median values: 0.31662, and quantile values: 0.25 0.083405\n0.50 0.316620\n0.75 1.179650\nName: 3293, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4576246478972956, std values: 5.076696828253553, min values: 2.2027e-07, max values: 43.916, median values: 0.18023, and quantile values: 0.25 0.054249\n0.50 0.180230\n0.75 0.850930\nName: 3294, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3035305589617296, std values: 4.479470146506574, min values: 1.4608e-08, max values: 35.906, median values: 0.14902, and quantile values: 0.25 0.030597\n0.50 0.149020\n0.75 0.697935\nName: 3295, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5432932918955973, std values: 4.808594284178846, min values: 1.557e-06, max values: 38.293, median values: 0.23846, and quantile values: 0.25 0.066373\n0.50 0.238460\n0.75 0.985505\nName: 3296, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3991143639880503, std values: 4.886070123562397, min values: 2.9947e-06, max values: 40.268, median values: 0.18053, and quantile values: 0.25 0.065702\n0.50 0.180530\n0.75 0.794560\nName: 3297, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3719956141943397, std values: 4.760182509198355, min values: 1.68e-06, max values: 39.847, median values: 0.21882, and quantile values: 0.25 0.055317\n0.50 0.218820\n0.75 0.817270\nName: 3298, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.435019119524528, std values: 4.78251969097598, min values: 1.9146e-06, max values: 38.848, median values: 0.23918, and quantile values: 0.25 0.074793\n0.50 0.239180\n0.75 0.915435\nName: 3299, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3082341099920127, std values: 4.929801384074935, min values: 1.3343e-07, max values: 41.982, median values: 0.15862, and quantile values: 0.25 0.044233\n0.50 0.158620\n0.75 0.679130\nName: 3300, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5001797964830188, std values: 5.014110752981617, min values: 1.0179e-06, max values: 41.388, median values: 0.21902, and quantile values: 0.25 0.064684\n0.50 0.219020\n0.75 0.916690\nName: 3301, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.589299757237107, std values: 4.917585123502168, min values: 6.259e-07, max values: 39.052, median values: 0.2385, and quantile values: 0.25 0.0698\n0.50 0.2385\n0.75 1.0157\nName: 3302, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3833347961945284, std values: 5.0453297801760515, min values: 7.7403e-07, max values: 43.208, median values: 0.18733, and quantile values: 0.25 0.055055\n0.50 0.187330\n0.75 0.704100\nName: 3303, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4823674086198113, std values: 4.886072947707266, min values: 2.2197e-07, max values: 40.535, median values: 0.19878, and quantile values: 0.25 0.043588\n0.50 0.198780\n0.75 0.852135\nName: 3304, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.755037084944025, std values: 5.298272831712531, min values: 3.5612e-06, max values: 42.912, median values: 0.30461, and quantile values: 0.25 0.083644\n0.50 0.304610\n0.75 1.170600\nName: 3305, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8377909368830188, std values: 4.949547720109292, min values: 3.2883e-06, max values: 38.88, median values: 0.35565, and quantile values: 0.25 0.096768\n0.50 0.355650\n0.75 1.394350\nName: 3306, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.623721298245283, std values: 5.103962234072355, min values: 2.2091e-06, max values: 40.274, median values: 0.27974, and quantile values: 0.25 0.067840\n0.50 0.279740\n0.75 1.051025\nName: 3307, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6211390219540878, std values: 5.414002299930444, min values: 6.259e-07, max values: 45.631, median values: 0.24869, and quantile values: 0.25 0.064432\n0.50 0.248690\n0.75 0.951005\nName: 3308, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3983626112169811, std values: 4.726838303611318, min values: 1.8096e-06, max values: 38.528, median values: 0.22866, and quantile values: 0.25 0.058434\n0.50 0.228660\n0.75 0.837060\nName: 3309, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4520716800496851, std values: 4.951329078526006, min values: 1.8604e-06, max values: 39.691, median values: 0.21039, and quantile values: 0.25 0.060613\n0.50 0.210390\n0.75 0.877720\nName: 3310, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4524578936147168, std values: 4.821555863252856, min values: 4.8634e-07, max values: 39.231, median values: 0.21882, and quantile values: 0.25 0.063989\n0.50 0.218820\n0.75 0.861690\nName: 3311, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2930469502477986, std values: 4.6327860565589765, min values: 1.3326e-06, max values: 39.248, median values: 0.17415, and quantile values: 0.25 0.053503\n0.50 0.174150\n0.75 0.755820\nName: 3312, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7150005167647797, std values: 5.132257720976153, min values: 3.5919e-06, max values: 40.188, median values: 0.31926, and quantile values: 0.25 0.08005\n0.50 0.31926\n0.75 1.16290\nName: 3313, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8072174472427673, std values: 5.286368512022057, min values: 1.1499e-06, max values: 44.29, median values: 0.32165, and quantile values: 0.25 0.095607\n0.50 0.321650\n0.75 1.211600\nName: 3314, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.330067173083019, std values: 4.680680290073024, min values: 7.461e-07, max values: 38.365, median values: 0.17423, and quantile values: 0.25 0.046065\n0.50 0.174230\n0.75 0.699945\nName: 3315, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7040360902106917, std values: 5.314505107608404, min values: 4.571e-06, max values: 43.605, median values: 0.2793, and quantile values: 0.25 0.084396\n0.50 0.279300\n0.75 1.040300\nName: 3316, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3167742591176101, std values: 4.81176298555486, min values: 1.1885e-06, max values: 38.955, median values: 0.17085, and quantile values: 0.25 0.047969\n0.50 0.170850\n0.75 0.734130\nName: 3317, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4191103636660376, std values: 4.84484659374391, min values: 1.8937e-06, max values: 39.569, median values: 0.20998, and quantile values: 0.25 0.063579\n0.50 0.209980\n0.75 0.822720\nName: 3318, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3884701281086602, std values: 4.930592425364988, min values: 4.3647e-08, max values: 42.271, median values: 0.16234, and quantile values: 0.25 0.038190\n0.50 0.162340\n0.75 0.701115\nName: 3319, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4501046710919496, std values: 4.964573668149001, min values: 1.6992e-07, max values: 41.674, median values: 0.2134, and quantile values: 0.25 0.058003\n0.50 0.213400\n0.75 0.821415\nName: 3320, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.340312308918868, std values: 4.806743032347877, min values: 1.5992e-06, max values: 39.559, median values: 0.19417, and quantile values: 0.25 0.054816\n0.50 0.194170\n0.75 0.803220\nName: 3321, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3325884974025848, std values: 4.758347992991672, min values: 3.3601e-08, max values: 38.918, median values: 0.17063, and quantile values: 0.25 0.040288\n0.50 0.170630\n0.75 0.681265\nName: 3322, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5596120158978615, std values: 4.9440540346719315, min values: 6.7206e-07, max values: 40.116, median values: 0.25392, and quantile values: 0.25 0.05429\n0.50 0.25392\n0.75 0.92116\nName: 3323, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.442503125981761, std values: 4.938889780243919, min values: 2.2127e-06, max values: 39.793, median values: 0.20932, and quantile values: 0.25 0.063954\n0.50 0.209320\n0.75 0.816155\nName: 3324, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5450121224050315, std values: 5.048139647058869, min values: 3.2501e-06, max values: 40.38, median values: 0.28086, and quantile values: 0.25 0.065766\n0.50 0.280860\n0.75 1.029100\nName: 3325, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4228359848467926, std values: 4.778735533500819, min values: 2.4134e-07, max values: 37.853, median values: 0.18238, and quantile values: 0.25 0.050909\n0.50 0.182380\n0.75 0.824300\nName: 3326, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7205664994773586, std values: 5.317331288662379, min values: 2.5595e-06, max values: 44.673, median values: 0.30562, and quantile values: 0.25 0.071428\n0.50 0.305620\n0.75 1.132750\nName: 3327, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2850920360592453, std values: 4.66211117383598, min values: 6.4022e-07, max values: 38.057, median values: 0.1851, and quantile values: 0.25 0.051657\n0.50 0.185100\n0.75 0.713285\nName: 3328, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5415210760308176, std values: 5.368519298409481, min values: 3.695e-06, max values: 45.393, median values: 0.23173, and quantile values: 0.25 0.062408\n0.50 0.231730\n0.75 0.890245\nName: 3329, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.225510010457044, std values: 4.587972816738669, min values: 4.5427e-07, max values: 37.786, median values: 0.13552, and quantile values: 0.25 0.036994\n0.50 0.135520\n0.75 0.632560\nName: 3330, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7076804652289308, std values: 5.224858650653646, min values: 3.4039e-06, max values: 41.728, median values: 0.26286, and quantile values: 0.25 0.087302\n0.50 0.262860\n0.75 1.065300\nName: 3331, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.189369820100692, std values: 4.738060089120807, min values: 6.0651e-07, max values: 38.264, median values: 0.13749, and quantile values: 0.25 0.042382\n0.50 0.137490\n0.75 0.563425\nName: 3332, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1479748313696228, std values: 4.320978583000574, min values: 1.4547e-07, max values: 36.494, median values: 0.13601, and quantile values: 0.25 0.042829\n0.50 0.136010\n0.75 0.624200\nName: 3333, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3575725354332704, std values: 4.848612450429728, min values: 8.4629e-07, max values: 39.536, median values: 0.18217, and quantile values: 0.25 0.053024\n0.50 0.182170\n0.75 0.760080\nName: 3334, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5628466457772328, std values: 4.922078820875186, min values: 5.8518e-07, max values: 40.457, median values: 0.25739, and quantile values: 0.25 0.071406\n0.50 0.257390\n0.75 0.963785\nName: 3335, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.298962134774151, std values: 4.61335379939024, min values: 2.6945e-07, max values: 36.74, median values: 0.16741, and quantile values: 0.25 0.048466\n0.50 0.167410\n0.75 0.769475\nName: 3336, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5741075025452198, std values: 4.961413004930405, min values: 1.7374e-07, max values: 41.098, median values: 0.21102, and quantile values: 0.25 0.048827\n0.50 0.211020\n0.75 0.975915\nName: 3337, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3065197351105031, std values: 4.840828794521472, min values: 5.3957e-07, max values: 39.8, median values: 0.15552, and quantile values: 0.25 0.048347\n0.50 0.155520\n0.75 0.727155\nName: 3338, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6163711675754717, std values: 4.983475804575075, min values: 1.0013e-06, max values: 39.804, median values: 0.27127, and quantile values: 0.25 0.069576\n0.50 0.271270\n0.75 1.068615\nName: 3339, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3522639277578616, std values: 4.661153910389222, min values: 1.3005e-06, max values: 37.504, median values: 0.19032, and quantile values: 0.25 0.062877\n0.50 0.190320\n0.75 0.724620\nName: 3340, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.516055437114717, std values: 5.065834909992903, min values: 8.8924e-07, max values: 42.238, median values: 0.21444, and quantile values: 0.25 0.065011\n0.50 0.214440\n0.75 0.936255\nName: 3341, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5562773285814466, std values: 4.912182280066216, min values: 9.2615e-07, max values: 39.118, median values: 0.26204, and quantile values: 0.25 0.065165\n0.50 0.262040\n0.75 1.069700\nName: 3342, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.491795543544654, std values: 4.868548779094563, min values: 1.2735e-06, max values: 38.487, median values: 0.23237, and quantile values: 0.25 0.064003\n0.50 0.232370\n0.75 0.906905\nName: 3343, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3040931140826415, std values: 4.773025027100105, min values: 2.2144e-07, max values: 38.498, median values: 0.16813, and quantile values: 0.25 0.051040\n0.50 0.168130\n0.75 0.749355\nName: 3344, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5950797227327043, std values: 5.11027799959766, min values: 4.8643e-06, max values: 40.917, median values: 0.24653, and quantile values: 0.25 0.069473\n0.50 0.246530\n0.75 0.893880\nName: 3345, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4968373824025156, std values: 4.886577265878133, min values: 2.3137e-06, max values: 39.476, median values: 0.22378, and quantile values: 0.25 0.069393\n0.50 0.223780\n0.75 0.961590\nName: 3346, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3520357203691193, std values: 4.734129906839, min values: 3.3019e-07, max values: 38.152, median values: 0.20472, and quantile values: 0.25 0.057054\n0.50 0.204720\n0.75 0.773595\nName: 3347, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5708379301962263, std values: 5.3344951437049515, min values: 2.4095e-06, max values: 45.882, median values: 0.23125, and quantile values: 0.25 0.069339\n0.50 0.231250\n0.75 0.955330\nName: 3348, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3645256774550942, std values: 4.676942845315837, min values: 5.0416e-07, max values: 38.323, median values: 0.18812, and quantile values: 0.25 0.049659\n0.50 0.188120\n0.75 0.850900\nName: 3349, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.661579157366038, std values: 5.0573043948980105, min values: 1.661e-06, max values: 40.478, median values: 0.28611, and quantile values: 0.25 0.070131\n0.50 0.286110\n0.75 1.092900\nName: 3350, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.443485705430566, std values: 4.877193611616952, min values: 2.854e-08, max values: 40.472, median values: 0.19749, and quantile values: 0.25 0.040805\n0.50 0.197490\n0.75 0.855785\nName: 3351, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.462521659780503, std values: 4.85646671549725, min values: 3.4381e-06, max values: 39.669, median values: 0.22874, and quantile values: 0.25 0.068451\n0.50 0.228740\n0.75 0.911845\nName: 3352, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.54789711478805, std values: 5.211021503580778, min values: 1.754e-06, max values: 44.331, median values: 0.26022, and quantile values: 0.25 0.071179\n0.50 0.260220\n0.75 0.894870\nName: 3353, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5010685851056607, std values: 4.831326257252227, min values: 1.3595e-06, max values: 38.558, median values: 0.26306, and quantile values: 0.25 0.07006\n0.50 0.26306\n0.75 0.92290\nName: 3354, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5577740534679245, std values: 5.239798358234989, min values: 1.0866e-06, max values: 45.877, median values: 0.24118, and quantile values: 0.25 0.066473\n0.50 0.241180\n0.75 0.916580\nName: 3355, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3027375292182388, std values: 5.015269639380201, min values: 1.1469e-06, max values: 42.669, median values: 0.14887, and quantile values: 0.25 0.051248\n0.50 0.148870\n0.75 0.661895\nName: 3356, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4135332033881762, std values: 4.791804881153206, min values: 6.0662e-07, max values: 38.487, median values: 0.21683, and quantile values: 0.25 0.063644\n0.50 0.216830\n0.75 0.863385\nName: 3357, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3528557490185535, std values: 4.7591226179129915, min values: 6.3215e-07, max values: 38.338, median values: 0.17339, and quantile values: 0.25 0.055181\n0.50 0.173390\n0.75 0.739205\nName: 3358, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4603046519333964, std values: 4.698613727890943, min values: 1.7661e-07, max values: 37.677, median values: 0.21685, and quantile values: 0.25 0.062249\n0.50 0.216850\n0.75 0.955830\nName: 3359, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.527200768332843, std values: 4.8999169669089175, min values: 2.9422e-08, max values: 40.404, median values: 0.20925, and quantile values: 0.25 0.05714\n0.50 0.20925\n0.75 0.99889\nName: 3360, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3462271312500003, std values: 4.8590609334137635, min values: 8.5365e-07, max values: 39.935, median values: 0.1992, and quantile values: 0.25 0.055689\n0.50 0.199200\n0.75 0.750860\nName: 3361, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3689435863660817, std values: 4.8632704691775315, min values: 2.2276e-08, max values: 41.485, median values: 0.1644, and quantile values: 0.25 0.036602\n0.50 0.164400\n0.75 0.698995\nName: 3362, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3794926582750942, std values: 4.649378846361479, min values: 6.0584e-07, max values: 37.056, median values: 0.19051, and quantile values: 0.25 0.054277\n0.50 0.190510\n0.75 0.837940\nName: 3363, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4214241876238993, std values: 4.752453316899894, min values: 1.3147e-06, max values: 39.106, median values: 0.19717, and quantile values: 0.25 0.061636\n0.50 0.197170\n0.75 0.882790\nName: 3364, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4150902153427674, std values: 4.854210603416855, min values: 2.6372e-06, max values: 39.81, median values: 0.20317, and quantile values: 0.25 0.062733\n0.50 0.203170\n0.75 0.789615\nName: 3365, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5225283163667294, std values: 4.869976337692156, min values: 1.5991e-07, max values: 39.346, median values: 0.22752, and quantile values: 0.25 0.061785\n0.50 0.227520\n0.75 1.013950\nName: 3366, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4321413928383648, std values: 5.008511371220811, min values: 2.5526e-06, max values: 40.236, median values: 0.22462, and quantile values: 0.25 0.063028\n0.50 0.224620\n0.75 0.822065\nName: 3367, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1557435669413205, std values: 4.6090930095582525, min values: 5.9207e-07, max values: 36.976, median values: 0.11653, and quantile values: 0.25 0.037738\n0.50 0.116530\n0.75 0.505580\nName: 3368, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3824328682579876, std values: 4.853490013090768, min values: 3.9812e-07, max values: 39.741, median values: 0.19693, and quantile values: 0.25 0.058771\n0.50 0.196930\n0.75 0.764140\nName: 3369, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5940762191006288, std values: 5.025139663084477, min values: 1.9547e-06, max values: 40.339, median values: 0.24721, and quantile values: 0.25 0.080747\n0.50 0.247210\n0.75 1.000820\nName: 3370, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5708063052178616, std values: 4.843534740010091, min values: 6.7544e-07, max values: 38.185, median values: 0.25074, and quantile values: 0.25 0.063472\n0.50 0.250740\n0.75 1.020750\nName: 3371, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2424258508333335, std values: 4.839936094512653, min values: 4.3812e-06, max values: 41.541, median values: 0.14079, and quantile values: 0.25 0.045506\n0.50 0.140790\n0.75 0.499975\nName: 3372, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4744082132440255, std values: 5.193116229121325, min values: 3.4494e-06, max values: 43.104, median values: 0.22668, and quantile values: 0.25 0.066889\n0.50 0.226680\n0.75 0.780275\nName: 3373, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.431940640407547, std values: 5.06778905688637, min values: 1.4595e-06, max values: 41.543, median values: 0.18806, and quantile values: 0.25 0.058953\n0.50 0.188060\n0.75 0.807175\nName: 3374, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3790225357125787, std values: 4.898964239720873, min values: 1.4069e-06, max values: 39.467, median values: 0.17289, and quantile values: 0.25 0.050248\n0.50 0.172890\n0.75 0.785085\nName: 3375, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3504020565599748, std values: 4.737782221664391, min values: 8.5846e-08, max values: 38.592, median values: 0.17546, and quantile values: 0.25 0.047764\n0.50 0.175460\n0.75 0.704750\nName: 3376, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5416430067691824, std values: 4.976784061943458, min values: 2.6984e-06, max values: 39.606, median values: 0.27699, and quantile values: 0.25 0.076479\n0.50 0.276990\n0.75 0.966940\nName: 3377, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.262298216400063, std values: 4.460415413519277, min values: 9.2091e-07, max values: 37.942, median values: 0.17686, and quantile values: 0.25 0.052648\n0.50 0.176860\n0.75 0.668720\nName: 3378, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.889911693888679, std values: 5.463453768483032, min values: 2.1019e-06, max values: 46.117, median values: 0.33277, and quantile values: 0.25 0.095857\n0.50 0.332770\n0.75 1.361700\nName: 3379, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.441165318253459, std values: 4.970526922198406, min values: 1.8613e-06, max values: 39.92, median values: 0.22423, and quantile values: 0.25 0.061740\n0.50 0.224230\n0.75 0.851235\nName: 3380, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2039631739474215, std values: 4.904670175072932, min values: 6.1974e-07, max values: 41.982, median values: 0.12231, and quantile values: 0.25 0.041557\n0.50 0.122310\n0.75 0.578165\nName: 3381, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.471314029400629, std values: 4.920972140846465, min values: 1.5213e-06, max values: 39.144, median values: 0.23357, and quantile values: 0.25 0.073023\n0.50 0.233570\n0.75 0.932020\nName: 3382, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.534246212672327, std values: 5.055127147998194, min values: 1.0421e-06, max values: 42.391, median values: 0.21446, and quantile values: 0.25 0.063096\n0.50 0.214460\n0.75 0.929565\nName: 3383, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.535302988664151, std values: 4.936162027831858, min values: 1.1067e-06, max values: 39.498, median values: 0.27124, and quantile values: 0.25 0.068603\n0.50 0.271240\n0.75 0.966925\nName: 3384, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5639158149100627, std values: 4.861758577272027, min values: 1.0045e-06, max values: 37.919, median values: 0.28556, and quantile values: 0.25 0.065216\n0.50 0.285560\n0.75 1.051190\nName: 3385, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.153151521818805, std values: 4.547446060646778, min values: 2.9051e-07, max values: 36.352, median values: 0.11905, and quantile values: 0.25 0.029709\n0.50 0.119050\n0.75 0.548390\nName: 3386, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5557111026389938, std values: 5.008753122625304, min values: 2.1936e-06, max values: 40.068, median values: 0.23746, and quantile values: 0.25 0.071895\n0.50 0.237460\n0.75 1.049700\nName: 3387, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6553756009081761, std values: 5.14585384170701, min values: 1.3471e-06, max values: 42.454, median values: 0.30001, and quantile values: 0.25 0.075396\n0.50 0.300010\n0.75 1.093950\nName: 3388, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3813804674792451, std values: 4.84070328051873, min values: 2.2602e-06, max values: 39.848, median values: 0.21465, and quantile values: 0.25 0.060537\n0.50 0.214650\n0.75 0.800880\nName: 3389, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4370888075735848, std values: 4.985080439545118, min values: 1.0806e-06, max values: 41.361, median values: 0.19511, and quantile values: 0.25 0.05758\n0.50 0.19511\n0.75 0.84148\nName: 3390, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2146086196247798, std values: 4.590298769399496, min values: 8.1564e-07, max values: 37.142, median values: 0.16758, and quantile values: 0.25 0.053873\n0.50 0.167580\n0.75 0.632820\nName: 3391, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.519668121862893, std values: 5.114147819617506, min values: 1.4534e-06, max values: 43.156, median values: 0.21836, and quantile values: 0.25 0.067578\n0.50 0.218360\n0.75 0.914140\nName: 3392, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.67962806905283, std values: 5.204191059427522, min values: 3.53e-06, max values: 41.308, median values: 0.26038, and quantile values: 0.25 0.076637\n0.50 0.260380\n0.75 1.065300\nName: 3393, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3746227397849056, std values: 4.853745343526486, min values: 2.2511e-06, max values: 38.75, median values: 0.17852, and quantile values: 0.25 0.045782\n0.50 0.178520\n0.75 0.787905\nName: 3394, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4688191399268615, std values: 4.838182050593666, min values: 9.9251e-08, max values: 39.519, median values: 0.18906, and quantile values: 0.25 0.050192\n0.50 0.189060\n0.75 0.903330\nName: 3395, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4678633702140254, std values: 4.9414038753098914, min values: 4.1513e-07, max values: 40.835, median values: 0.18656, and quantile values: 0.25 0.051034\n0.50 0.186560\n0.75 0.845740\nName: 3396, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4011725038674214, std values: 4.891271576551448, min values: 2.5232e-07, max values: 40.41, median values: 0.21753, and quantile values: 0.25 0.054069\n0.50 0.217530\n0.75 0.840785\nName: 3397, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4641062115738994, std values: 4.900849567171755, min values: 9.0965e-07, max values: 39.798, median values: 0.20448, and quantile values: 0.25 0.063598\n0.50 0.204480\n0.75 0.957190\nName: 3398, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5757366641317607, std values: 4.9421474813280755, min values: 3.2395e-07, max values: 40.841, median values: 0.26159, and quantile values: 0.25 0.060248\n0.50 0.261590\n0.75 1.030945\nName: 3399, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2987879672798741, std values: 4.763272960736324, min values: 2.4414e-06, max values: 39.744, median values: 0.18637, and quantile values: 0.25 0.050325\n0.50 0.186370\n0.75 0.736865\nName: 3400, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3480563041903146, std values: 4.835703227397069, min values: 1.6679e-07, max values: 40.131, median values: 0.18906, and quantile values: 0.25 0.059719\n0.50 0.189060\n0.75 0.702370\nName: 3401, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4873896797937107, std values: 4.929703249172448, min values: 3.9634e-06, max values: 40.574, median values: 0.22659, and quantile values: 0.25 0.063621\n0.50 0.226590\n0.75 0.823535\nName: 3402, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5324422703716978, std values: 4.9963427737419135, min values: 1.1225e-06, max values: 41.22, median values: 0.23088, and quantile values: 0.25 0.064018\n0.50 0.230880\n0.75 0.925365\nName: 3403, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.654063033056855, std values: 4.834977830783272, min values: 6.6784e-07, max values: 37.264, median values: 0.30787, and quantile values: 0.25 0.072344\n0.50 0.307870\n0.75 1.143800\nName: 3404, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5682320293465408, std values: 5.023042341396274, min values: 2.1142e-06, max values: 40.169, median values: 0.24819, and quantile values: 0.25 0.076128\n0.50 0.248190\n0.75 0.977070\nName: 3405, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.508790055192239, std values: 4.860325096035678, min values: 5.5166e-08, max values: 39.005, median values: 0.22466, and quantile values: 0.25 0.06481\n0.50 0.22466\n0.75 0.91405\nName: 3406, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5272959984157235, std values: 5.069378875053498, min values: 1.3545e-06, max values: 42.399, median values: 0.24307, and quantile values: 0.25 0.076805\n0.50 0.243070\n0.75 0.901815\nName: 3407, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.408771619063522, std values: 4.706937528112421, min values: 1.0126e-06, max values: 39.266, median values: 0.20967, and quantile values: 0.25 0.065693\n0.50 0.209670\n0.75 0.844570\nName: 3408, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5164406002566038, std values: 5.093620904983761, min values: 2.687e-06, max values: 41.084, median values: 0.2158, and quantile values: 0.25 0.074205\n0.50 0.215800\n0.75 0.843860\nName: 3409, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4404823319091824, std values: 4.795063021749036, min values: 8.3386e-07, max values: 38.115, median values: 0.22861, and quantile values: 0.25 0.059390\n0.50 0.228610\n0.75 0.856675\nName: 3410, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4253929266440253, std values: 4.865360855479688, min values: 2.2592e-06, max values: 39.594, median values: 0.23348, and quantile values: 0.25 0.060850\n0.50 0.233480\n0.75 0.884645\nName: 3411, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4308367659571697, std values: 4.852167560077502, min values: 1.7159e-07, max values: 39.864, median values: 0.18025, and quantile values: 0.25 0.057999\n0.50 0.180250\n0.75 0.807250\nName: 3412, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2597089542024529, std values: 4.723058328491752, min values: 4.5259e-07, max values: 37.937, median values: 0.15411, and quantile values: 0.25 0.049105\n0.50 0.154110\n0.75 0.676055\nName: 3413, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5892309079119495, std values: 4.921883658430176, min values: 2.8966e-06, max values: 39.463, median values: 0.28738, and quantile values: 0.25 0.074414\n0.50 0.287380\n0.75 1.029200\nName: 3414, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.345966034667296, std values: 4.465587870641127, min values: 1.532e-07, max values: 37.117, median values: 0.20186, and quantile values: 0.25 0.053315\n0.50 0.201860\n0.75 0.854230\nName: 3415, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.584111272065409, std values: 4.958957211937972, min values: 4.8863e-06, max values: 41.119, median values: 0.27669, and quantile values: 0.25 0.077519\n0.50 0.276690\n0.75 0.935835\nName: 3416, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3646419230679245, std values: 4.949401945674741, min values: 1.5804e-06, max values: 39.889, median values: 0.18513, and quantile values: 0.25 0.055745\n0.50 0.185130\n0.75 0.795725\nName: 3417, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6553648063220125, std values: 5.280876882094737, min values: 3.2074e-06, max values: 43.813, median values: 0.26225, and quantile values: 0.25 0.076092\n0.50 0.262250\n0.75 1.040500\nName: 3418, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4137772416207548, std values: 5.206193529110614, min values: 4.4153e-06, max values: 42.439, median values: 0.18319, and quantile values: 0.25 0.05976\n0.50 0.18319\n0.75 0.61449\nName: 3419, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.433024300210063, std values: 4.771033723707365, min values: 1.926e-06, max values: 38.767, median values: 0.20849, and quantile values: 0.25 0.059513\n0.50 0.208490\n0.75 0.818790\nName: 3420, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5660472526773583, std values: 4.972870050050081, min values: 5.0091e-06, max values: 40.135, median values: 0.23818, and quantile values: 0.25 0.077822\n0.50 0.238180\n0.75 0.969305\nName: 3421, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4873591405520314, std values: 4.7487640297803795, min values: 3.1358e-08, max values: 38.017, median values: 0.20439, and quantile values: 0.25 0.048475\n0.50 0.204390\n0.75 0.884850\nName: 3422, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4827365239610064, std values: 5.098512266450093, min values: 2.0126e-06, max values: 42.548, median values: 0.22253, and quantile values: 0.25 0.068013\n0.50 0.222530\n0.75 0.860340\nName: 3423, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2265647194383646, std values: 4.95208645849243, min values: 1.0382e-06, max values: 40.828, median values: 0.11823, and quantile values: 0.25 0.032539\n0.50 0.118230\n0.75 0.592945\nName: 3424, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6192917373188678, std values: 5.019059553867123, min values: 3.0188e-06, max values: 39.827, median values: 0.26542, and quantile values: 0.25 0.076075\n0.50 0.265420\n0.75 0.979880\nName: 3425, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3917450037792454, std values: 4.735147437564753, min values: 2.2073e-06, max values: 38.601, median values: 0.20523, and quantile values: 0.25 0.058918\n0.50 0.205230\n0.75 0.819695\nName: 3426, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.466852503753333, std values: 5.219940260434306, min values: 2.7462e-07, max values: 46.806, median values: 0.23229, and quantile values: 0.25 0.056477\n0.50 0.232290\n0.75 0.843920\nName: 3427, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4500777318525158, std values: 4.911103403458728, min values: 9.5375e-07, max values: 40.341, median values: 0.2014, and quantile values: 0.25 0.065492\n0.50 0.201400\n0.75 0.848620\nName: 3428, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4148301880396228, std values: 4.882641506911618, min values: 1.702e-06, max values: 39.086, median values: 0.20731, and quantile values: 0.25 0.061558\n0.50 0.207310\n0.75 0.838315\nName: 3429, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5413007736805033, std values: 5.044513338372404, min values: 1.5972e-06, max values: 40.124, median values: 0.2484, and quantile values: 0.25 0.063425\n0.50 0.248400\n0.75 0.970315\nName: 3430, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6403517291924528, std values: 5.295795228964684, min values: 1.7483e-06, max values: 45.264, median values: 0.25965, and quantile values: 0.25 0.070736\n0.50 0.259650\n0.75 1.013440\nName: 3431, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2244283763170438, std values: 4.366195393076769, min values: 5.0471e-07, max values: 37.294, median values: 0.16447, and quantile values: 0.25 0.045549\n0.50 0.164470\n0.75 0.702755\nName: 3432, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5223571198849057, std values: 5.246608373221919, min values: 1.0037e-06, max values: 45.123, median values: 0.21495, and quantile values: 0.25 0.059438\n0.50 0.214950\n0.75 0.871955\nName: 3433, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.368707369981761, std values: 4.61371094816297, min values: 1.5338e-06, max values: 38.098, median values: 0.20702, and quantile values: 0.25 0.066209\n0.50 0.207020\n0.75 0.798320\nName: 3434, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4426558203622641, std values: 4.8808176587698515, min values: 3.3109e-06, max values: 39.44, median values: 0.21096, and quantile values: 0.25 0.06561\n0.50 0.21096\n0.75 0.84643\nName: 3435, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4850360925050312, std values: 4.842342906343355, min values: 2.0533e-06, max values: 38.347, median values: 0.23396, and quantile values: 0.25 0.068715\n0.50 0.233960\n0.75 0.896115\nName: 3436, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.337797072884352, std values: 4.763703381073606, min values: 3.4032e-08, max values: 38.966, median values: 0.18237, and quantile values: 0.25 0.042591\n0.50 0.182370\n0.75 0.712955\nName: 3437, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2773830315935222, std values: 4.966061312584413, min values: 2.0957e-07, max values: 42.471, median values: 0.15159, and quantile values: 0.25 0.042205\n0.50 0.151590\n0.75 0.663415\nName: 3438, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6249813210062896, std values: 4.9627713392120665, min values: 1.316e-06, max values: 39.269, median values: 0.24638, and quantile values: 0.25 0.071093\n0.50 0.246380\n0.75 1.080400\nName: 3439, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5934120539805032, std values: 5.206976641759482, min values: 7.5059e-06, max values: 41.654, median values: 0.27869, and quantile values: 0.25 0.065818\n0.50 0.278690\n0.75 0.893730\nName: 3440, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7655231644943397, std values: 5.416754793417012, min values: 7.6346e-06, max values: 41.973, median values: 0.29175, and quantile values: 0.25 0.073427\n0.50 0.291750\n0.75 0.978070\nName: 3441, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2913916882213836, std values: 4.690136073182659, min values: 3.7226e-06, max values: 39.954, median values: 0.17531, and quantile values: 0.25 0.054099\n0.50 0.175310\n0.75 0.684030\nName: 3442, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4291185972201887, std values: 4.917063105989148, min values: 7.7611e-07, max values: 40.552, median values: 0.22223, and quantile values: 0.25 0.063183\n0.50 0.222230\n0.75 0.802575\nName: 3443, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3504442159408805, std values: 4.7531071106581155, min values: 1.4916e-06, max values: 38.736, median values: 0.18872, and quantile values: 0.25 0.06143\n0.50 0.18872\n0.75 0.74444\nName: 3444, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6063275967821384, std values: 5.090987725979011, min values: 3.6786e-07, max values: 43.146, median values: 0.23754, and quantile values: 0.25 0.062715\n0.50 0.237540\n0.75 0.989350\nName: 3445, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3714419109876037, std values: 4.635033986193155, min values: 3.8139e-08, max values: 36.93, median values: 0.21968, and quantile values: 0.25 0.050550\n0.50 0.219680\n0.75 0.823155\nName: 3446, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5139111705261008, std values: 4.903378387450435, min values: 5.4495e-07, max values: 40.098, median values: 0.22373, and quantile values: 0.25 0.066405\n0.50 0.223730\n0.75 0.987075\nName: 3447, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.49537885406478, std values: 4.9723671327443375, min values: 1.5635e-06, max values: 39.761, median values: 0.23706, and quantile values: 0.25 0.063789\n0.50 0.237060\n0.75 0.918240\nName: 3448, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3999875171068552, std values: 4.866170977048688, min values: 4.0079e-07, max values: 39.635, median values: 0.17811, and quantile values: 0.25 0.048722\n0.50 0.178110\n0.75 0.828760\nName: 3449, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5403426151603143, std values: 4.9355243332928405, min values: 3.6099e-07, max values: 40.918, median values: 0.25975, and quantile values: 0.25 0.066579\n0.50 0.259750\n0.75 0.996620\nName: 3450, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5775923191673649, std values: 4.806534697461367, min values: 2.1751e-08, max values: 38.018, median values: 0.22884, and quantile values: 0.25 0.057093\n0.50 0.228840\n0.75 0.966960\nName: 3451, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5590214081168428, std values: 5.029225607361038, min values: 2.0368e-08, max values: 42.131, median values: 0.19904, and quantile values: 0.25 0.055244\n0.50 0.199040\n0.75 0.933280\nName: 3452, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3320362745572327, std values: 4.7087632445686385, min values: 2.3533e-06, max values: 39.515, median values: 0.17419, and quantile values: 0.25 0.055928\n0.50 0.174190\n0.75 0.733315\nName: 3453, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5289707841484275, std values: 5.068766689173578, min values: 3.1506e-06, max values: 40.415, median values: 0.23507, and quantile values: 0.25 0.06667\n0.50 0.23507\n0.75 0.88552\nName: 3454, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5406669413119498, std values: 5.197192938718918, min values: 4.5497e-06, max values: 41.453, median values: 0.23178, and quantile values: 0.25 0.072236\n0.50 0.231780\n0.75 0.826330\nName: 3455, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5290075096633333, std values: 5.098177922770529, min values: 7.9477e-07, max values: 43.596, median values: 0.22085, and quantile values: 0.25 0.071099\n0.50 0.220850\n0.75 0.930300\nName: 3456, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7607230405679246, std values: 5.251835208298198, min values: 4.8997e-06, max values: 40.787, median values: 0.32758, and quantile values: 0.25 0.08506\n0.50 0.32758\n0.75 1.12675\nName: 3457, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.505968248728302, std values: 5.00714627397941, min values: 3.3988e-06, max values: 40.154, median values: 0.21303, and quantile values: 0.25 0.065347\n0.50 0.213030\n0.75 0.970560\nName: 3458, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3265992711257861, std values: 4.629832380534051, min values: 3.4835e-06, max values: 40.419, median values: 0.19754, and quantile values: 0.25 0.060084\n0.50 0.197540\n0.75 0.706340\nName: 3459, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1536469278093082, std values: 4.571814604564484, min values: 4.942e-07, max values: 36.654, median values: 0.11568, and quantile values: 0.25 0.038352\n0.50 0.115680\n0.75 0.518955\nName: 3460, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4613402810477987, std values: 4.878840649075087, min values: 1.4516e-06, max values: 38.92, median values: 0.21116, and quantile values: 0.25 0.060467\n0.50 0.211160\n0.75 0.897915\nName: 3461, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3479098599288677, std values: 4.6814806080577185, min values: 9.7469e-07, max values: 37.976, median values: 0.20352, and quantile values: 0.25 0.056999\n0.50 0.203520\n0.75 0.794510\nName: 3462, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4733188198339622, std values: 4.826725767888669, min values: 2.9316e-06, max values: 39.169, median values: 0.23507, and quantile values: 0.25 0.062683\n0.50 0.235070\n0.75 0.943645\nName: 3463, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4398819706930817, std values: 4.879851203252434, min values: 1.0802e-06, max values: 39.381, median values: 0.22079, and quantile values: 0.25 0.057179\n0.50 0.220790\n0.75 0.835565\nName: 3464, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5034457454698114, std values: 4.7997362150603555, min values: 1.357e-06, max values: 38.887, median values: 0.2256, and quantile values: 0.25 0.068094\n0.50 0.225600\n0.75 1.009195\nName: 3465, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6421154587964153, std values: 5.107670320371029, min values: 8.4223e-07, max values: 42.299, median values: 0.25266, and quantile values: 0.25 0.061723\n0.50 0.252660\n0.75 1.078550\nName: 3466, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.601215023184214, std values: 5.0233901308609195, min values: 6.3919e-07, max values: 41.141, median values: 0.22822, and quantile values: 0.25 0.056309\n0.50 0.228220\n0.75 0.987360\nName: 3467, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2776355253830187, std values: 4.786347043855373, min values: 1.1114e-06, max values: 38.634, median values: 0.17214, and quantile values: 0.25 0.053859\n0.50 0.172140\n0.75 0.677035\nName: 3468, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4962500416867925, std values: 5.0877845466017835, min values: 3.1065e-06, max values: 41.242, median values: 0.25502, and quantile values: 0.25 0.06755\n0.50 0.25502\n0.75 0.90567\nName: 3469, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6850254662102453, std values: 5.341817482089021, min values: 1.9919e-08, max values: 47.605, median values: 0.21054, and quantile values: 0.25 0.054268\n0.50 0.210540\n0.75 1.112400\nName: 3470, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3708212204157233, std values: 5.127018446200368, min values: 1.6554e-06, max values: 43.799, median values: 0.19936, and quantile values: 0.25 0.051692\n0.50 0.199360\n0.75 0.787835\nName: 3471, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6403613276094338, std values: 4.94287344637184, min values: 1.2149e-06, max values: 38.98, median values: 0.28711, and quantile values: 0.25 0.076802\n0.50 0.287110\n0.75 1.124350\nName: 3472, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4130564277415094, std values: 4.633785576712406, min values: 1.6648e-06, max values: 39.167, median values: 0.19667, and quantile values: 0.25 0.058231\n0.50 0.196670\n0.75 0.848295\nName: 3473, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4025625552972958, std values: 4.62520743126186, min values: 2.535e-08, max values: 36.462, median values: 0.18345, and quantile values: 0.25 0.049737\n0.50 0.183450\n0.75 0.818935\nName: 3474, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3902945527433963, std values: 5.0516099076061245, min values: 3.1008e-06, max values: 41.543, median values: 0.18433, and quantile values: 0.25 0.059848\n0.50 0.184330\n0.75 0.765740\nName: 3475, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2819016951413835, std values: 4.659124279900497, min values: 3.8488e-07, max values: 38.641, median values: 0.14814, and quantile values: 0.25 0.048857\n0.50 0.148140\n0.75 0.714485\nName: 3476, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3376057931052203, std values: 4.739211272223431, min values: 1.9773e-07, max values: 38.575, median values: 0.19135, and quantile values: 0.25 0.055793\n0.50 0.191350\n0.75 0.758140\nName: 3477, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.429549313026415, std values: 4.816938207348171, min values: 1.4152e-06, max values: 38.187, median values: 0.19832, and quantile values: 0.25 0.058244\n0.50 0.198320\n0.75 0.835695\nName: 3478, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.547996269107547, std values: 5.1055237188202875, min values: 3.5235e-06, max values: 41.743, median values: 0.22992, and quantile values: 0.25 0.072202\n0.50 0.229920\n0.75 0.943340\nName: 3479, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3362490051313836, std values: 4.792301481634866, min values: 5.9619e-07, max values: 38.637, median values: 0.15689, and quantile values: 0.25 0.045017\n0.50 0.156890\n0.75 0.701975\nName: 3480, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6617431798528302, std values: 5.199370210038296, min values: 2.1689e-06, max values: 42.934, median values: 0.27755, and quantile values: 0.25 0.082355\n0.50 0.277550\n0.75 1.183800\nName: 3481, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4594963087264778, std values: 4.783068570072229, min values: 9.8211e-07, max values: 37.909, median values: 0.23347, and quantile values: 0.25 0.067226\n0.50 0.233470\n0.75 0.864320\nName: 3482, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4868316869050315, std values: 5.0337802687962325, min values: 1.2348e-06, max values: 42.484, median values: 0.23933, and quantile values: 0.25 0.071713\n0.50 0.239330\n0.75 0.905445\nName: 3483, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.418761902591912, std values: 4.917882042144516, min values: 7.1774e-08, max values: 41.881, median values: 0.19658, and quantile values: 0.25 0.043983\n0.50 0.196580\n0.75 0.739035\nName: 3484, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4644957673716978, std values: 4.926406016731037, min values: 2.6444e-06, max values: 39.734, median values: 0.21685, and quantile values: 0.25 0.06390\n0.50 0.21685\n0.75 0.88568\nName: 3485, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3964609852566037, std values: 4.856282352069463, min values: 1.2594e-06, max values: 39.605, median values: 0.19063, and quantile values: 0.25 0.056316\n0.50 0.190630\n0.75 0.824370\nName: 3486, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4812670305383646, std values: 5.2936013800353665, min values: 1.0625e-06, max values: 47.06, median values: 0.19582, and quantile values: 0.25 0.057073\n0.50 0.195820\n0.75 0.773470\nName: 3487, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5631252088654088, std values: 5.203441687460626, min values: 4.4594e-06, max values: 41.895, median values: 0.23903, and quantile values: 0.25 0.073363\n0.50 0.239030\n0.75 0.862990\nName: 3488, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4482065350679245, std values: 4.926200200686892, min values: 2.4393e-06, max values: 39.372, median values: 0.25446, and quantile values: 0.25 0.065477\n0.50 0.254460\n0.75 0.837895\nName: 3489, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5542972309633334, std values: 4.699408140706519, min values: 7.3557e-07, max values: 37.489, median values: 0.23274, and quantile values: 0.25 0.06931\n0.50 0.23274\n0.75 1.05310\nName: 3490, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5164259693490565, std values: 4.905081559830343, min values: 2.5212e-06, max values: 38.866, median values: 0.25578, and quantile values: 0.25 0.073851\n0.50 0.255780\n0.75 0.916685\nName: 3491, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7218863630132073, std values: 4.967887380862542, min values: 1.6285e-06, max values: 38.54, median values: 0.3042, and quantile values: 0.25 0.084547\n0.50 0.304200\n0.75 1.132550\nName: 3492, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2361260956963522, std values: 4.596811114398824, min values: 9.2742e-07, max values: 37.925, median values: 0.16142, and quantile values: 0.25 0.050682\n0.50 0.161420\n0.75 0.657320\nName: 3493, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3228814838994338, std values: 4.668453395536305, min values: 1.3481e-07, max values: 37.495, median values: 0.16928, and quantile values: 0.25 0.046817\n0.50 0.169280\n0.75 0.746980\nName: 3494, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3124977357605032, std values: 4.727770908022377, min values: 5.3962e-07, max values: 37.719, median values: 0.18472, and quantile values: 0.25 0.051173\n0.50 0.184720\n0.75 0.720970\nName: 3495, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4585927313851572, std values: 4.937992681546593, min values: 1.0594e-07, max values: 41.132, median values: 0.20736, and quantile values: 0.25 0.057118\n0.50 0.207360\n0.75 0.884475\nName: 3496, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.640447775727673, std values: 4.931133618692169, min values: 1.4316e-06, max values: 39.318, median values: 0.26951, and quantile values: 0.25 0.073645\n0.50 0.269510\n0.75 1.160200\nName: 3497, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5425162025642767, std values: 5.1161158587859195, min values: 5.4552e-07, max values: 43.283, median values: 0.22625, and quantile values: 0.25 0.057098\n0.50 0.226250\n0.75 0.884680\nName: 3498, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3511173647696038, std values: 4.884019751749834, min values: 2.6067e-08, max values: 41.353, median values: 0.17953, and quantile values: 0.25 0.051939\n0.50 0.179530\n0.75 0.715380\nName: 3499, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4746041782597483, std values: 5.182932083154648, min values: 1.3911e-06, max values: 45.588, median values: 0.22052, and quantile values: 0.25 0.065906\n0.50 0.220520\n0.75 0.855730\nName: 3500, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5292417138993712, std values: 4.921246665529869, min values: 1.4138e-06, max values: 38.853, median values: 0.27003, and quantile values: 0.25 0.06367\n0.50 0.27003\n0.75 0.88715\nName: 3501, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4649043529031445, std values: 4.839011484832919, min values: 2.1049e-06, max values: 39.828, median values: 0.24116, and quantile values: 0.25 0.058066\n0.50 0.241160\n0.75 0.927785\nName: 3502, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2583704577579875, std values: 4.7886162967516634, min values: 2.2709e-07, max values: 40.401, median values: 0.14717, and quantile values: 0.25 0.038944\n0.50 0.147170\n0.75 0.570635\nName: 3503, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4986374811203773, std values: 4.839909804467185, min values: 2.1234e-07, max values: 38.751, median values: 0.21395, and quantile values: 0.25 0.051181\n0.50 0.213950\n0.75 0.873760\nName: 3504, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.0205875161842766, std values: 5.547796725908184, min values: 9.3253e-06, max values: 41.263, median values: 0.37366, and quantile values: 0.25 0.093926\n0.50 0.373660\n0.75 1.274100\nName: 3505, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5420573140748428, std values: 4.936082979143409, min values: 1.061e-06, max values: 39.505, median values: 0.24855, and quantile values: 0.25 0.064811\n0.50 0.248550\n0.75 0.986655\nName: 3506, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2993695564025158, std values: 4.688593824986715, min values: 1.1589e-06, max values: 39.711, median values: 0.16469, and quantile values: 0.25 0.049788\n0.50 0.164690\n0.75 0.712460\nName: 3507, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.495008776580063, std values: 4.703610976175422, min values: 1.9995e-07, max values: 36.522, median values: 0.19557, and quantile values: 0.25 0.053386\n0.50 0.195570\n0.75 0.842175\nName: 3508, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3811645541320756, std values: 4.732293618088292, min values: 1.224e-06, max values: 38.076, median values: 0.20856, and quantile values: 0.25 0.065384\n0.50 0.208560\n0.75 0.790855\nName: 3509, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.411926013552704, std values: 4.777082783683995, min values: 4.3927e-07, max values: 38.6, median values: 0.18575, and quantile values: 0.25 0.050236\n0.50 0.185750\n0.75 0.750365\nName: 3510, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6294322319163521, std values: 5.113438997773151, min values: 3.8894e-06, max values: 40.608, median values: 0.26042, and quantile values: 0.25 0.076398\n0.50 0.260420\n0.75 1.016000\nName: 3511, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4589625009616352, std values: 4.843980036636339, min values: 2.0887e-06, max values: 39.497, median values: 0.23176, and quantile values: 0.25 0.058280\n0.50 0.231760\n0.75 0.898305\nName: 3512, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4637796248805033, std values: 4.936171578052803, min values: 1.9778e-06, max values: 39.513, median values: 0.22792, and quantile values: 0.25 0.061535\n0.50 0.227920\n0.75 0.827180\nName: 3513, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3010342498364154, std values: 4.660022470185177, min values: 5.9639e-07, max values: 37.638, median values: 0.18234, and quantile values: 0.25 0.055294\n0.50 0.182340\n0.75 0.751530\nName: 3514, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2643107179683395, std values: 4.846720134770615, min values: 1.5556e-08, max values: 41.03, median values: 0.15686, and quantile values: 0.25 0.042528\n0.50 0.156860\n0.75 0.625620\nName: 3515, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.745456370882327, std values: 5.19164654491358, min values: 7.1239e-07, max values: 43.553, median values: 0.28448, and quantile values: 0.25 0.084028\n0.50 0.284480\n0.75 1.180100\nName: 3516, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5790925715899369, std values: 5.166556235534418, min values: 4.219e-06, max values: 41.603, median values: 0.22772, and quantile values: 0.25 0.073171\n0.50 0.227720\n0.75 0.914965\nName: 3517, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3552602138468552, std values: 4.680391074729554, min values: 4.5885e-07, max values: 37.532, median values: 0.16613, and quantile values: 0.25 0.049479\n0.50 0.166130\n0.75 0.720765\nName: 3518, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4245364600974844, std values: 4.717206271582985, min values: 1.8162e-06, max values: 38.484, median values: 0.21896, and quantile values: 0.25 0.063086\n0.50 0.218960\n0.75 0.872370\nName: 3519, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.543485928554088, std values: 4.756357831033206, min values: 3.9511e-06, max values: 39.973, median values: 0.26196, and quantile values: 0.25 0.073068\n0.50 0.261960\n0.75 0.933205\nName: 3520, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3743912697006289, std values: 4.64367715176461, min values: 1.4299e-06, max values: 38.477, median values: 0.19462, and quantile values: 0.25 0.063613\n0.50 0.194620\n0.75 0.775550\nName: 3521, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6181075301182388, std values: 5.008870364885428, min values: 3.3603e-06, max values: 39.845, median values: 0.25052, and quantile values: 0.25 0.073372\n0.50 0.250520\n0.75 1.048000\nName: 3522, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6418041660188682, std values: 5.181839695450444, min values: 2.8047e-06, max values: 42.731, median values: 0.26407, and quantile values: 0.25 0.067273\n0.50 0.264070\n0.75 1.057450\nName: 3523, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4063104707319938, std values: 4.666013773195175, min values: 5.6144e-08, max values: 37.263, median values: 0.18572, and quantile values: 0.25 0.040317\n0.50 0.185720\n0.75 0.759730\nName: 3524, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.0957401421963524, std values: 4.370981666218792, min values: 1.7766e-07, max values: 36.846, median values: 0.14284, and quantile values: 0.25 0.039886\n0.50 0.142840\n0.75 0.508815\nName: 3525, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.438646350114566, std values: 4.819711085945375, min values: 1.9416e-08, max values: 39.323, median values: 0.22501, and quantile values: 0.25 0.050674\n0.50 0.225010\n0.75 0.835090\nName: 3526, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4940609439169685, std values: 4.986624352749699, min values: 1.7998e-08, max values: 42.101, median values: 0.24741, and quantile values: 0.25 0.065583\n0.50 0.247410\n0.75 0.952290\nName: 3527, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5093834060899372, std values: 5.035458921248537, min values: 1.3224e-06, max values: 41.074, median values: 0.20861, and quantile values: 0.25 0.062961\n0.50 0.208610\n0.75 0.911825\nName: 3528, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4540948981491195, std values: 5.04893906882656, min values: 1.6722e-07, max values: 44.234, median values: 0.20464, and quantile values: 0.25 0.047031\n0.50 0.204640\n0.75 0.729160\nName: 3529, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4860739053132075, std values: 4.682493226703496, min values: 1.1102e-06, max values: 38.254, median values: 0.23797, and quantile values: 0.25 0.064148\n0.50 0.237970\n0.75 0.978325\nName: 3530, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4045094638791826, std values: 4.7548785782203815, min values: 3.319e-08, max values: 38.307, median values: 0.18456, and quantile values: 0.25 0.049713\n0.50 0.184560\n0.75 0.831790\nName: 3531, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6939576105842769, std values: 5.355466007920269, min values: 5.1991e-06, max values: 43.927, median values: 0.28127, and quantile values: 0.25 0.083655\n0.50 0.281270\n0.75 1.028650\nName: 3532, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.487443618262893, std values: 4.852399499378787, min values: 2.0594e-06, max values: 38.834, median values: 0.25407, and quantile values: 0.25 0.075610\n0.50 0.254070\n0.75 0.873485\nName: 3533, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5123832420710692, std values: 4.950932743021343, min values: 1.3681e-06, max values: 39.605, median values: 0.2717, and quantile values: 0.25 0.065538\n0.50 0.271700\n0.75 0.920725\nName: 3534, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7028627755484274, std values: 5.136206780489528, min values: 2.4496e-06, max values: 41.263, median values: 0.31258, and quantile values: 0.25 0.085255\n0.50 0.312580\n0.75 1.122100\nName: 3535, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4320540811210063, std values: 4.629925598408321, min values: 4.9725e-07, max values: 36.124, median values: 0.20906, and quantile values: 0.25 0.054025\n0.50 0.209060\n0.75 0.870485\nName: 3536, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4199774536697485, std values: 4.892507181725214, min values: 1.0939e-07, max values: 40.67, median values: 0.20143, and quantile values: 0.25 0.061815\n0.50 0.201430\n0.75 0.872705\nName: 3537, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4593743245842765, std values: 4.901424568158941, min values: 2.6821e-06, max values: 39.533, median values: 0.26305, and quantile values: 0.25 0.067016\n0.50 0.263050\n0.75 0.921920\nName: 3538, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.426929348980503, std values: 4.783333560057571, min values: 3.9773e-06, max values: 40.538, median values: 0.22887, and quantile values: 0.25 0.066845\n0.50 0.228870\n0.75 0.779560\nName: 3539, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5208964658735848, std values: 5.059876591254921, min values: 1.6297e-07, max values: 43.28, median values: 0.22528, and quantile values: 0.25 0.051274\n0.50 0.225280\n0.75 0.855695\nName: 3540, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3940553467131447, std values: 4.702935407214552, min values: 2.2569e-07, max values: 37.201, median values: 0.21927, and quantile values: 0.25 0.055013\n0.50 0.219270\n0.75 0.813095\nName: 3541, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3367819531962895, std values: 4.8209960085514565, min values: 3.8601e-07, max values: 40.003, median values: 0.18342, and quantile values: 0.25 0.050187\n0.50 0.183420\n0.75 0.738825\nName: 3542, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7620624053591196, std values: 5.265071107494646, min values: 2.7502e-06, max values: 42.71, median values: 0.28375, and quantile values: 0.25 0.083101\n0.50 0.283750\n0.75 1.199200\nName: 3543, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.624045163016981, std values: 5.172294679992731, min values: 2.0975e-06, max values: 43.348, median values: 0.27126, and quantile values: 0.25 0.069569\n0.50 0.271260\n0.75 1.018800\nName: 3544, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.360660060674843, std values: 4.630945036550534, min values: 1.8663e-06, max values: 39.084, median values: 0.21103, and quantile values: 0.25 0.063035\n0.50 0.211030\n0.75 0.809810\nName: 3545, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.411415358099308, std values: 4.74981218865793, min values: 1.4689e-07, max values: 37.848, median values: 0.18009, and quantile values: 0.25 0.048001\n0.50 0.180090\n0.75 0.797450\nName: 3546, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3519630510408804, std values: 4.6633997088430545, min values: 1.0159e-06, max values: 38.75, median values: 0.19027, and quantile values: 0.25 0.057192\n0.50 0.190270\n0.75 0.804650\nName: 3547, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5720528101247169, std values: 5.068287238647188, min values: 9.9853e-07, max values: 41.015, median values: 0.23036, and quantile values: 0.25 0.069735\n0.50 0.230360\n0.75 0.973130\nName: 3548, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5403074024207548, std values: 4.982023112269489, min values: 1.2011e-06, max values: 40.598, median values: 0.25578, and quantile values: 0.25 0.066567\n0.50 0.255780\n0.75 0.987125\nName: 3549, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.520049824, std values: 5.030330008158297, min values: 3.9559e-06, max values: 40.684, median values: 0.23635, and quantile values: 0.25 0.069511\n0.50 0.236350\n0.75 0.926055\nName: 3550, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6527292720993711, std values: 5.150908509931562, min values: 5.112e-06, max values: 40.586, median values: 0.2861, and quantile values: 0.25 0.085596\n0.50 0.286100\n0.75 0.995160\nName: 3551, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.429309281168302, std values: 4.757761151982158, min values: 3.0016e-07, max values: 37.901, median values: 0.19434, and quantile values: 0.25 0.053084\n0.50 0.194340\n0.75 0.814615\nName: 3552, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4155058859830187, std values: 4.737544617040505, min values: 1.3075e-06, max values: 38.775, median values: 0.22765, and quantile values: 0.25 0.060830\n0.50 0.227650\n0.75 0.859435\nName: 3553, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5188466542823902, std values: 4.946150528115375, min values: 4.0563e-06, max values: 40.85, median values: 0.26285, and quantile values: 0.25 0.081779\n0.50 0.262850\n0.75 0.885795\nName: 3554, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7388636195145286, std values: 5.1976868789675805, min values: 9.3791e-07, max values: 43.231, median values: 0.28118, and quantile values: 0.25 0.074146\n0.50 0.281180\n0.75 1.107300\nName: 3555, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.879390783033962, std values: 5.294655825809975, min values: 3.2018e-06, max values: 41.777, median values: 0.33209, and quantile values: 0.25 0.09976\n0.50 0.33209\n0.75 1.29315\nName: 3556, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4512253120748426, std values: 4.998864180395935, min values: 1.1401e-06, max values: 41.901, median values: 0.22179, and quantile values: 0.25 0.064378\n0.50 0.221790\n0.75 0.829465\nName: 3557, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.53828151265283, std values: 4.871834426926593, min values: 2.0033e-06, max values: 39.147, median values: 0.2398, and quantile values: 0.25 0.071898\n0.50 0.239800\n0.75 0.979635\nName: 3558, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.554231472901887, std values: 4.832126385606672, min values: 6.611e-07, max values: 37.827, median values: 0.27838, and quantile values: 0.25 0.073863\n0.50 0.278380\n0.75 1.027950\nName: 3559, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6655844623023268, std values: 5.009986043799569, min values: 2.9857e-07, max values: 41.299, median values: 0.30785, and quantile values: 0.25 0.076831\n0.50 0.307850\n0.75 1.131400\nName: 3560, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3373011870962264, std values: 4.748786469700715, min values: 5.191e-07, max values: 37.956, median values: 0.17747, and quantile values: 0.25 0.048418\n0.50 0.177470\n0.75 0.760205\nName: 3561, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3117940644069181, std values: 4.887880905688685, min values: 1.6616e-06, max values: 39.609, median values: 0.18284, and quantile values: 0.25 0.056777\n0.50 0.182840\n0.75 0.694910\nName: 3562, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3554202059150942, std values: 5.1040438830117, min values: 1.8452e-06, max values: 42.776, median values: 0.1744, and quantile values: 0.25 0.04751\n0.50 0.17440\n0.75 0.72306\nName: 3563, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5891598027597482, std values: 5.205703091461734, min values: 1.9395e-06, max values: 44.307, median values: 0.2362, and quantile values: 0.25 0.068535\n0.50 0.236200\n0.75 0.964455\nName: 3564, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7628327213044028, std values: 5.209320002619065, min values: 7.1884e-06, max values: 40.77, median values: 0.31, and quantile values: 0.25 0.086099\n0.50 0.310000\n0.75 1.131600\nName: 3565, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6544772558608805, std values: 5.356864728655703, min values: 5.7138e-07, max values: 47.028, median values: 0.21155, and quantile values: 0.25 0.058699\n0.50 0.211550\n0.75 1.018700\nName: 3566, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6318972648207546, std values: 5.087939139616701, min values: 2.642e-06, max values: 40.367, median values: 0.26008, and quantile values: 0.25 0.075023\n0.50 0.260080\n0.75 1.069500\nName: 3567, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3196749487572328, std values: 4.685269810571888, min values: 2.4053e-06, max values: 39.366, median values: 0.20801, and quantile values: 0.25 0.05250\n0.50 0.20801\n0.75 0.73313\nName: 3568, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3957180931779876, std values: 4.976172497471969, min values: 1.7577e-06, max values: 40.218, median values: 0.21473, and quantile values: 0.25 0.052425\n0.50 0.214730\n0.75 0.803820\nName: 3569, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4282952398310693, std values: 4.710850411625056, min values: 1.1849e-07, max values: 37.461, median values: 0.20433, and quantile values: 0.25 0.049801\n0.50 0.204330\n0.75 0.876020\nName: 3570, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3973807564389937, std values: 5.138560699869588, min values: 3.2265e-06, max values: 42.311, median values: 0.18829, and quantile values: 0.25 0.058253\n0.50 0.188290\n0.75 0.729135\nName: 3571, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.357047465124465, std values: 4.768035043458055, min values: 7.8169e-07, max values: 38.196, median values: 0.17264, and quantile values: 0.25 0.053322\n0.50 0.172640\n0.75 0.736630\nName: 3572, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5199822857635847, std values: 4.871375228536353, min values: 8.5181e-07, max values: 38.719, median values: 0.23226, and quantile values: 0.25 0.065549\n0.50 0.232260\n0.75 1.002725\nName: 3573, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2654647167083648, std values: 4.615834205788501, min values: 3.5783e-07, max values: 38.12, median values: 0.15588, and quantile values: 0.25 0.044958\n0.50 0.155880\n0.75 0.641530\nName: 3574, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.529034743718176, std values: 5.0348328205950965, min values: 3.6409e-07, max values: 42.487, median values: 0.21602, and quantile values: 0.25 0.061982\n0.50 0.216020\n0.75 0.989300\nName: 3575, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4027190548645914, std values: 4.781855619361778, min values: 1.507e-08, max values: 39.044, median values: 0.19902, and quantile values: 0.25 0.054618\n0.50 0.199020\n0.75 0.827420\nName: 3576, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5465931081057862, std values: 4.879095214375141, min values: 1.678e-07, max values: 39.485, median values: 0.20306, and quantile values: 0.25 0.056435\n0.50 0.203060\n0.75 0.960680\nName: 3577, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7262554496798743, std values: 5.114412460224466, min values: 1.522e-06, max values: 40.881, median values: 0.27212, and quantile values: 0.25 0.075473\n0.50 0.272120\n0.75 1.184350\nName: 3578, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.44410672497044, std values: 4.917357584120898, min values: 2.9755e-06, max values: 40.263, median values: 0.21246, and quantile values: 0.25 0.064915\n0.50 0.212460\n0.75 0.823080\nName: 3579, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4894820332880503, std values: 4.975937837649953, min values: 1.6628e-06, max values: 39.8, median values: 0.21496, and quantile values: 0.25 0.061371\n0.50 0.214960\n0.75 0.884835\nName: 3580, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4572292524718995, std values: 5.007114534751758, min values: 1.9632e-08, max values: 42.564, median values: 0.19605, and quantile values: 0.25 0.055079\n0.50 0.196050\n0.75 0.872165\nName: 3581, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.364744843053899, std values: 4.773273337391073, min values: 1.1707e-07, max values: 38.474, median values: 0.18199, and quantile values: 0.25 0.049871\n0.50 0.181990\n0.75 0.769200\nName: 3582, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6111900637257863, std values: 5.063077108603845, min values: 2.1615e-06, max values: 39.831, median values: 0.26539, and quantile values: 0.25 0.070155\n0.50 0.265390\n0.75 1.006350\nName: 3583, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3049630202666667, std values: 4.6520634640663925, min values: 1.1046e-06, max values: 38.75, median values: 0.17696, and quantile values: 0.25 0.051591\n0.50 0.176960\n0.75 0.703110\nName: 3584, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6230463646188678, std values: 5.0762121587721785, min values: 4.6857e-06, max values: 40.099, median values: 0.28764, and quantile values: 0.25 0.068636\n0.50 0.287640\n0.75 0.966440\nName: 3585, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5827149279358488, std values: 5.095483816240327, min values: 5.4738e-06, max values: 40.44, median values: 0.25925, and quantile values: 0.25 0.065281\n0.50 0.259250\n0.75 0.903935\nName: 3586, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.451451643909937, std values: 4.940556996956253, min values: 4.2648e-07, max values: 41.869, median values: 0.18559, and quantile values: 0.25 0.053401\n0.50 0.185590\n0.75 0.802950\nName: 3587, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3592467323389936, std values: 4.602802235530986, min values: 3.0862e-06, max values: 40.376, median values: 0.19732, and quantile values: 0.25 0.066422\n0.50 0.197320\n0.75 0.724955\nName: 3588, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9400975723880505, std values: 5.697849198712726, min values: 1.6545e-06, max values: 50.153, median values: 0.31359, and quantile values: 0.25 0.08912\n0.50 0.31359\n0.75 1.33600\nName: 3589, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8042719746477989, std values: 5.287649173913726, min values: 4.1243e-06, max values: 41.582, median values: 0.33077, and quantile values: 0.25 0.091469\n0.50 0.330770\n0.75 1.251700\nName: 3590, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4576453650094339, std values: 4.966606933743149, min values: 1.8232e-06, max values: 40.749, median values: 0.22729, and quantile values: 0.25 0.063876\n0.50 0.227290\n0.75 0.881110\nName: 3591, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2638998289779872, std values: 4.674759854055851, min values: 2.1018e-06, max values: 39.245, median values: 0.18728, and quantile values: 0.25 0.050602\n0.50 0.187280\n0.75 0.565140\nName: 3592, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.584318932198742, std values: 4.871845372707319, min values: 3.6855e-06, max values: 40.156, median values: 0.23852, and quantile values: 0.25 0.071288\n0.50 0.238520\n0.75 1.002045\nName: 3593, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6995779978402517, std values: 5.218798500992688, min values: 5.644e-06, max values: 40.564, median values: 0.30059, and quantile values: 0.25 0.087191\n0.50 0.300590\n0.75 1.045700\nName: 3594, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.482397106191195, std values: 5.237126940978727, min values: 1.3288e-06, max values: 45.873, median values: 0.20377, and quantile values: 0.25 0.060547\n0.50 0.203770\n0.75 0.864705\nName: 3595, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5047944045911947, std values: 4.993724308365748, min values: 1.2433e-06, max values: 40.803, median values: 0.2279, and quantile values: 0.25 0.069497\n0.50 0.227900\n0.75 0.977465\nName: 3596, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5345168762276729, std values: 4.927649520924533, min values: 4.7776e-06, max values: 40.792, median values: 0.24471, and quantile values: 0.25 0.063334\n0.50 0.244710\n0.75 0.884105\nName: 3597, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4863838885784717, std values: 4.9495588752988, min values: 1.9537e-08, max values: 42.403, median values: 0.19988, and quantile values: 0.25 0.048558\n0.50 0.199880\n0.75 0.874395\nName: 3598, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2965223607220127, std values: 4.758282855472343, min values: 2.2619e-06, max values: 38.679, median values: 0.17048, and quantile values: 0.25 0.060188\n0.50 0.170480\n0.75 0.665275\nName: 3599, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3797181632088051, std values: 4.73196416315339, min values: 4.362e-07, max values: 37.595, median values: 0.18453, and quantile values: 0.25 0.044924\n0.50 0.184530\n0.75 0.769675\nName: 3600, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3706876284232703, std values: 4.801412279099118, min values: 1.4291e-06, max values: 38.461, median values: 0.16523, and quantile values: 0.25 0.046868\n0.50 0.165230\n0.75 0.722635\nName: 3601, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5217747910389938, std values: 4.918157129515134, min values: 1.1173e-06, max values: 39.357, median values: 0.24551, and quantile values: 0.25 0.067632\n0.50 0.245510\n0.75 0.944040\nName: 3602, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4356756190377986, std values: 4.661461532506419, min values: 1.6731e-07, max values: 37.188, median values: 0.2302, and quantile values: 0.25 0.05185\n0.50 0.23020\n0.75 0.92166\nName: 3603, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3518857282037107, std values: 4.671637431992958, min values: 3.1809e-07, max values: 37.519, median values: 0.16543, and quantile values: 0.25 0.049052\n0.50 0.165430\n0.75 0.721505\nName: 3604, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.487348515307547, std values: 4.895635523481831, min values: 3.1581e-06, max values: 40.729, median values: 0.22516, and quantile values: 0.25 0.066836\n0.50 0.225160\n0.75 0.869950\nName: 3605, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4881294706421382, std values: 4.955717044935297, min values: 2.2701e-06, max values: 39.571, median values: 0.2195, and quantile values: 0.25 0.067195\n0.50 0.219500\n0.75 0.902360\nName: 3606, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3642783356911952, std values: 5.345679846290089, min values: 1.8936e-06, max values: 47.924, median values: 0.16016, and quantile values: 0.25 0.044098\n0.50 0.160160\n0.75 0.714135\nName: 3607, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5316764034327044, std values: 5.028496096180373, min values: 1.9829e-06, max values: 40.042, median values: 0.26101, and quantile values: 0.25 0.067465\n0.50 0.261010\n0.75 0.922765\nName: 3608, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6201227959773588, std values: 4.91781069871083, min values: 2.2115e-06, max values: 38.578, median values: 0.2816, and quantile values: 0.25 0.078867\n0.50 0.281600\n0.75 1.083950\nName: 3609, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1244323883508807, std values: 4.398084323984806, min values: 1.6153e-07, max values: 36.103, median values: 0.1364, and quantile values: 0.25 0.036908\n0.50 0.136400\n0.75 0.500685\nName: 3610, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4372082646641509, std values: 4.685299214582109, min values: 1.4235e-06, max values: 38.449, median values: 0.23219, and quantile values: 0.25 0.074323\n0.50 0.232190\n0.75 0.949015\nName: 3611, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.416791850438805, std values: 4.911566847738693, min values: 2.0827e-07, max values: 40.789, median values: 0.19055, and quantile values: 0.25 0.056553\n0.50 0.190550\n0.75 0.819645\nName: 3612, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3348278258127924, std values: 4.84567518531603, min values: 1.1914e-08, max values: 41.599, median values: 0.17121, and quantile values: 0.25 0.04111\n0.50 0.17121\n0.75 0.69606\nName: 3613, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4701361446125787, std values: 4.917318231353511, min values: 7.428e-07, max values: 39.358, median values: 0.23053, and quantile values: 0.25 0.067406\n0.50 0.230530\n0.75 0.806355\nName: 3614, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5459449952239623, std values: 5.072857013816343, min values: 5.4021e-07, max values: 43.288, median values: 0.23206, and quantile values: 0.25 0.069009\n0.50 0.232060\n0.75 0.937880\nName: 3615, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5058348598044027, std values: 5.095621536951713, min values: 1.8603e-06, max values: 41.64, median values: 0.24312, and quantile values: 0.25 0.061678\n0.50 0.243120\n0.75 0.959885\nName: 3616, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5962045335007546, std values: 4.826172481749119, min values: 6.3512e-07, max values: 37.954, median values: 0.26292, and quantile values: 0.25 0.070034\n0.50 0.262920\n0.75 1.085650\nName: 3617, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3386000889686165, std values: 4.626500897173024, min values: 2.6761e-07, max values: 37.369, median values: 0.19745, and quantile values: 0.25 0.048181\n0.50 0.197450\n0.75 0.753200\nName: 3618, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.42055028978239, std values: 4.80170790528599, min values: 2.3244e-06, max values: 39.825, median values: 0.24106, and quantile values: 0.25 0.067574\n0.50 0.241060\n0.75 0.824565\nName: 3619, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4383843832332075, std values: 4.848280026756169, min values: 3.5164e-07, max values: 39.925, median values: 0.18648, and quantile values: 0.25 0.055858\n0.50 0.186480\n0.75 0.809260\nName: 3620, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4383492125100628, std values: 4.8540581887812495, min values: 1.7796e-06, max values: 38.929, median values: 0.23137, and quantile values: 0.25 0.061704\n0.50 0.231370\n0.75 0.940260\nName: 3621, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3904350928811322, std values: 4.892429979069137, min values: 1.4355e-06, max values: 39.215, median values: 0.20099, and quantile values: 0.25 0.058256\n0.50 0.200990\n0.75 0.840460\nName: 3622, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.374554617610113, std values: 4.805190821873793, min values: 2.9908e-08, max values: 39.586, median values: 0.19989, and quantile values: 0.25 0.047682\n0.50 0.199890\n0.75 0.731365\nName: 3623, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6050379510364778, std values: 5.3528014916464866, min values: 2.4112e-06, max values: 46.75, median values: 0.27947, and quantile values: 0.25 0.078542\n0.50 0.279470\n0.75 1.035465\nName: 3624, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5817664236320756, std values: 5.111739006248987, min values: 4.3289e-06, max values: 40.921, median values: 0.25485, and quantile values: 0.25 0.070428\n0.50 0.254850\n0.75 0.938780\nName: 3625, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6630736981496854, std values: 5.117932218480893, min values: 6.4552e-06, max values: 40.414, median values: 0.26847, and quantile values: 0.25 0.082174\n0.50 0.268470\n0.75 0.955560\nName: 3626, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.653226950235849, std values: 5.199369346571435, min values: 4.5288e-06, max values: 41.535, median values: 0.27017, and quantile values: 0.25 0.09143\n0.50 0.27017\n0.75 0.98959\nName: 3627, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3980989617616981, std values: 4.819808226211113, min values: 7.1971e-07, max values: 38.996, median values: 0.18648, and quantile values: 0.25 0.054555\n0.50 0.186480\n0.75 0.800035\nName: 3628, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4002885737575472, std values: 4.882252897136231, min values: 9.2875e-07, max values: 39.324, median values: 0.19514, and quantile values: 0.25 0.055200\n0.50 0.195140\n0.75 0.742745\nName: 3629, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5421813793798744, std values: 5.099333781398621, min values: 2.13e-06, max values: 41.261, median values: 0.25161, and quantile values: 0.25 0.077811\n0.50 0.251610\n0.75 0.849800\nName: 3630, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.666183844456604, std values: 5.077705437067847, min values: 2.3217e-06, max values: 40.416, median values: 0.28472, and quantile values: 0.25 0.075457\n0.50 0.284720\n0.75 1.136150\nName: 3631, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4110165469742073, std values: 4.5684042787171215, min values: 2.0459e-08, max values: 36.502, median values: 0.20137, and quantile values: 0.25 0.052041\n0.50 0.201370\n0.75 0.849590\nName: 3632, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.524921701687327, std values: 4.724249898282636, min values: 2.7365e-08, max values: 36.841, median values: 0.24148, and quantile values: 0.25 0.050375\n0.50 0.241480\n0.75 0.989715\nName: 3633, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5329305034798741, std values: 5.036368584958266, min values: 2.7165e-06, max values: 40.151, median values: 0.2185, and quantile values: 0.25 0.070555\n0.50 0.218500\n0.75 0.896235\nName: 3634, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.630897632145283, std values: 5.072251083195758, min values: 2.3917e-06, max values: 40.259, median values: 0.27213, and quantile values: 0.25 0.067793\n0.50 0.272130\n0.75 1.064795\nName: 3635, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.377692476590566, std values: 4.91996203729476, min values: 1.3614e-06, max values: 40.488, median values: 0.19927, and quantile values: 0.25 0.053417\n0.50 0.199270\n0.75 0.796340\nName: 3636, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4587924908071068, std values: 4.7742283949153945, min values: 5.7683e-07, max values: 37.732, median values: 0.21525, and quantile values: 0.25 0.064026\n0.50 0.215250\n0.75 0.896220\nName: 3637, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4567155227194968, std values: 4.966004119299343, min values: 7.886e-07, max values: 41.186, median values: 0.21328, and quantile values: 0.25 0.059087\n0.50 0.213280\n0.75 0.818945\nName: 3638, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.34743856055283, std values: 4.823958851091373, min values: 1.841e-06, max values: 40.298, median values: 0.18996, and quantile values: 0.25 0.059012\n0.50 0.189960\n0.75 0.692660\nName: 3639, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.245148300824528, std values: 4.583373458589073, min values: 1.5059e-06, max values: 39.062, median values: 0.19147, and quantile values: 0.25 0.051847\n0.50 0.191470\n0.75 0.718000\nName: 3640, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3765775240213838, std values: 4.968763146811216, min values: 1.4427e-06, max values: 41.477, median values: 0.19105, and quantile values: 0.25 0.059532\n0.50 0.191050\n0.75 0.786865\nName: 3641, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4151411811813834, std values: 4.956187102636852, min values: 6.4184e-07, max values: 42.328, median values: 0.20286, and quantile values: 0.25 0.061841\n0.50 0.202860\n0.75 0.822695\nName: 3642, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5401800333327045, std values: 5.0570048620227634, min values: 4.4932e-06, max values: 41.454, median values: 0.24233, and quantile values: 0.25 0.062716\n0.50 0.242330\n0.75 0.903765\nName: 3643, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5865218066100628, std values: 4.620891035059758, min values: 1.6473e-06, max values: 38.419, median values: 0.26138, and quantile values: 0.25 0.065335\n0.50 0.261380\n0.75 1.132250\nName: 3644, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4620583050245284, std values: 5.0372296154642155, min values: 2.0231e-06, max values: 41.44, median values: 0.20095, and quantile values: 0.25 0.066839\n0.50 0.200950\n0.75 0.855830\nName: 3645, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4408313814452829, std values: 4.892756559711235, min values: 1.895e-06, max values: 39.305, median values: 0.19757, and quantile values: 0.25 0.061675\n0.50 0.197570\n0.75 0.852270\nName: 3646, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3639275691088049, std values: 4.866024062173148, min values: 1.3131e-06, max values: 39.408, median values: 0.16975, and quantile values: 0.25 0.049115\n0.50 0.169750\n0.75 0.781880\nName: 3647, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4584121370237735, std values: 4.753194070366159, min values: 1.3608e-07, max values: 37.725, median values: 0.26202, and quantile values: 0.25 0.055001\n0.50 0.262020\n0.75 0.960010\nName: 3648, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4914334392833335, std values: 4.990406470750406, min values: 8.7015e-07, max values: 41.07, median values: 0.24363, and quantile values: 0.25 0.063083\n0.50 0.243630\n0.75 0.877200\nName: 3649, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4329714212392202, std values: 4.907453683414755, min values: 2.8146e-08, max values: 41.303, median values: 0.20631, and quantile values: 0.25 0.052563\n0.50 0.206310\n0.75 0.791405\nName: 3650, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5034023096257862, std values: 4.9917418350941345, min values: 3.2556e-06, max values: 40.28, median values: 0.22768, and quantile values: 0.25 0.069495\n0.50 0.227680\n0.75 0.886545\nName: 3651, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5068347229836478, std values: 4.910772333678501, min values: 2.7318e-06, max values: 39.569, median values: 0.23899, and quantile values: 0.25 0.070435\n0.50 0.238990\n0.75 0.860500\nName: 3652, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5109106362496858, std values: 5.03884706898411, min values: 3.6016e-06, max values: 40.438, median values: 0.23963, and quantile values: 0.25 0.071556\n0.50 0.239630\n0.75 0.846200\nName: 3653, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4231555765295598, std values: 5.114078706677844, min values: 2.5207e-06, max values: 42.762, median values: 0.19685, and quantile values: 0.25 0.058602\n0.50 0.196850\n0.75 0.809310\nName: 3654, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3394905420675471, std values: 4.814162226048604, min values: 1.241e-07, max values: 40.801, median values: 0.17116, and quantile values: 0.25 0.045156\n0.50 0.171160\n0.75 0.712240\nName: 3655, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3146078793472329, std values: 4.575356493228891, min values: 1.649e-08, max values: 36.211, median values: 0.19223, and quantile values: 0.25 0.046685\n0.50 0.192230\n0.75 0.686020\nName: 3656, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5570033278333333, std values: 5.000595827661606, min values: 5.475e-06, max values: 40.535, median values: 0.27244, and quantile values: 0.25 0.074341\n0.50 0.272440\n0.75 0.889215\nName: 3657, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.461600795019434, std values: 4.735451579869756, min values: 3.2599e-07, max values: 37.719, median values: 0.20477, and quantile values: 0.25 0.057415\n0.50 0.204770\n0.75 0.895170\nName: 3658, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.672674941809874, std values: 5.38327477208828, min values: 2.9741e-07, max values: 47.944, median values: 0.22618, and quantile values: 0.25 0.058872\n0.50 0.226180\n0.75 1.020720\nName: 3659, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6138049129553458, std values: 4.879540170175429, min values: 3.2507e-06, max values: 39.265, median values: 0.26146, and quantile values: 0.25 0.083643\n0.50 0.261460\n0.75 1.073300\nName: 3660, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6816663697924528, std values: 5.16483563105114, min values: 6.395e-06, max values: 41.092, median values: 0.26873, and quantile values: 0.25 0.08134\n0.50 0.26873\n0.75 1.07535\nName: 3661, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3510072230647798, std values: 4.950668355273039, min values: 1.2203e-06, max values: 40.872, median values: 0.16668, and quantile values: 0.25 0.05635\n0.50 0.16668\n0.75 0.75024\nName: 3662, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5288002515159118, std values: 5.012093868636735, min values: 4.2743e-07, max values: 41.381, median values: 0.21603, and quantile values: 0.25 0.063392\n0.50 0.216030\n0.75 0.970400\nName: 3663, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5986094376710691, std values: 4.916479649567329, min values: 3.0469e-06, max values: 40.285, median values: 0.25965, and quantile values: 0.25 0.068933\n0.50 0.259650\n0.75 1.035700\nName: 3664, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5045747388301887, std values: 5.009834943285374, min values: 1.6377e-06, max values: 39.928, median values: 0.22469, and quantile values: 0.25 0.059412\n0.50 0.224690\n0.75 0.941810\nName: 3665, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4524194376062893, std values: 5.347030500974946, min values: 1.0615e-06, max values: 47.74, median values: 0.17104, and quantile values: 0.25 0.052471\n0.50 0.171040\n0.75 0.854290\nName: 3666, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5050814168666669, std values: 5.146364231988851, min values: 2.946e-06, max values: 42.743, median values: 0.21636, and quantile values: 0.25 0.064766\n0.50 0.216360\n0.75 0.858260\nName: 3667, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6333554492402513, std values: 5.1200034712541935, min values: 1.1178e-06, max values: 42.124, median values: 0.2112, and quantile values: 0.25 0.056300\n0.50 0.211200\n0.75 1.005875\nName: 3668, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5870763633192455, std values: 4.950731828948256, min values: 7.1786e-07, max values: 38.961, median values: 0.22523, and quantile values: 0.25 0.06391\n0.50 0.22523\n0.75 1.05525\nName: 3669, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3031476766578616, std values: 4.786490861641145, min values: 3.5359e-06, max values: 41.42, median values: 0.18433, and quantile values: 0.25 0.054978\n0.50 0.184330\n0.75 0.652755\nName: 3670, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5447096321036478, std values: 4.921107234325132, min values: 4.1198e-07, max values: 40.329, median values: 0.25206, and quantile values: 0.25 0.061564\n0.50 0.252060\n0.75 0.980465\nName: 3671, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.382374635464151, std values: 4.929611001995457, min values: 2.7531e-06, max values: 39.918, median values: 0.19565, and quantile values: 0.25 0.059229\n0.50 0.195650\n0.75 0.771965\nName: 3672, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.547062997437736, std values: 5.146859340471285, min values: 3.532e-06, max values: 42.073, median values: 0.23676, and quantile values: 0.25 0.070484\n0.50 0.236760\n0.75 0.907555\nName: 3673, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4326603474691824, std values: 4.894920756524263, min values: 2.8351e-06, max values: 40.106, median values: 0.2258, and quantile values: 0.25 0.059709\n0.50 0.225800\n0.75 0.854135\nName: 3674, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4016237971408805, std values: 4.889406762749597, min values: 1.2935e-06, max values: 39.462, median values: 0.18236, and quantile values: 0.25 0.056822\n0.50 0.182360\n0.75 0.806820\nName: 3675, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5326497420679246, std values: 5.005328937326961, min values: 3.1524e-06, max values: 40.153, median values: 0.22012, and quantile values: 0.25 0.065761\n0.50 0.220120\n0.75 0.941185\nName: 3676, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7107240292377357, std values: 5.243264270551641, min values: 2.1413e-06, max values: 43.982, median values: 0.28745, and quantile values: 0.25 0.089074\n0.50 0.287450\n0.75 1.153050\nName: 3677, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6062548452754717, std values: 5.240766447219075, min values: 1.9702e-06, max values: 44.099, median values: 0.22932, and quantile values: 0.25 0.061941\n0.50 0.229320\n0.75 0.928365\nName: 3678, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3453201762633333, std values: 4.7294673250745705, min values: 8.1617e-07, max values: 38.018, median values: 0.17389, and quantile values: 0.25 0.051517\n0.50 0.173890\n0.75 0.772010\nName: 3679, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5322436734981133, std values: 5.005998537769158, min values: 2.4526e-06, max values: 39.825, median values: 0.24592, and quantile values: 0.25 0.064441\n0.50 0.245920\n0.75 0.919135\nName: 3680, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3059248938021384, std values: 4.824489290912819, min values: 7.0714e-07, max values: 39.387, median values: 0.16939, and quantile values: 0.25 0.049965\n0.50 0.169390\n0.75 0.701620\nName: 3681, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4382608956062892, std values: 4.9501725729140835, min values: 2.04e-06, max values: 39.875, median values: 0.22879, and quantile values: 0.25 0.070817\n0.50 0.228790\n0.75 0.853525\nName: 3682, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4762761299367926, std values: 5.012790393053964, min values: 7.2625e-07, max values: 41.884, median values: 0.21916, and quantile values: 0.25 0.059887\n0.50 0.219160\n0.75 0.780585\nName: 3683, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3842150135138365, std values: 4.832595060065753, min values: 1.363e-06, max values: 39.193, median values: 0.19123, and quantile values: 0.25 0.058077\n0.50 0.191230\n0.75 0.801245\nName: 3684, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5052545318886792, std values: 4.897425361728602, min values: 1.1824e-06, max values: 39.126, median values: 0.26399, and quantile values: 0.25 0.073131\n0.50 0.263990\n0.75 0.962410\nName: 3685, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7355318499654089, std values: 5.109353858012508, min values: 3.8914e-06, max values: 40.743, median values: 0.29423, and quantile values: 0.25 0.07688\n0.50 0.29423\n0.75 1.16860\nName: 3686, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.533056712426604, std values: 4.959067283897293, min values: 5.5193e-07, max values: 40.449, median values: 0.23381, and quantile values: 0.25 0.066541\n0.50 0.233810\n0.75 0.945470\nName: 3687, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3031460361580502, std values: 4.816538821672501, min values: 4.0763e-07, max values: 40.077, median values: 0.161, and quantile values: 0.25 0.048403\n0.50 0.161000\n0.75 0.732925\nName: 3688, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5844207748169812, std values: 4.881750888166652, min values: 2.571e-07, max values: 38.667, median values: 0.23248, and quantile values: 0.25 0.061042\n0.50 0.232480\n0.75 1.046500\nName: 3689, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.504502508454717, std values: 4.804048295960715, min values: 1.5288e-06, max values: 38.622, median values: 0.25613, and quantile values: 0.25 0.069413\n0.50 0.256130\n0.75 0.946775\nName: 3690, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8489318651771067, std values: 5.099064761644508, min values: 7.1786e-07, max values: 39.436, median values: 0.3447, and quantile values: 0.25 0.082574\n0.50 0.344700\n0.75 1.367450\nName: 3691, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2771959141254716, std values: 4.519287080478124, min values: 7.2995e-07, max values: 38.449, median values: 0.15656, and quantile values: 0.25 0.052208\n0.50 0.156560\n0.75 0.755045\nName: 3692, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.395036837444654, std values: 5.134855445869826, min values: 1.2946e-06, max values: 44.517, median values: 0.19203, and quantile values: 0.25 0.061417\n0.50 0.192030\n0.75 0.738230\nName: 3693, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4277997229012578, std values: 4.948231483324264, min values: 1.2305e-06, max values: 40.341, median values: 0.23787, and quantile values: 0.25 0.061232\n0.50 0.237870\n0.75 0.826250\nName: 3694, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4662972193923272, std values: 4.753990303813644, min values: 8.0218e-07, max values: 37.469, median values: 0.23408, and quantile values: 0.25 0.078243\n0.50 0.234080\n0.75 0.888570\nName: 3695, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4915858965163524, std values: 4.784789296436434, min values: 3.0226e-06, max values: 39.82, median values: 0.23342, and quantile values: 0.25 0.068662\n0.50 0.233420\n0.75 0.902020\nName: 3696, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6007876741691822, std values: 5.293092090213853, min values: 2.6202e-06, max values: 44.835, median values: 0.23425, and quantile values: 0.25 0.069134\n0.50 0.234250\n0.75 0.962025\nName: 3697, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2859555728944656, std values: 4.959984731201047, min values: 4.7622e-07, max values: 42.177, median values: 0.17139, and quantile values: 0.25 0.042277\n0.50 0.171390\n0.75 0.658980\nName: 3698, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3782397254032706, std values: 4.707140479201103, min values: 1.1313e-07, max values: 38.287, median values: 0.19423, and quantile values: 0.25 0.053465\n0.50 0.194230\n0.75 0.773260\nName: 3699, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5553317143301886, std values: 5.009913707321217, min values: 1.0906e-06, max values: 41.313, median values: 0.27215, and quantile values: 0.25 0.078834\n0.50 0.272150\n0.75 0.942335\nName: 3700, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6077182571874216, std values: 5.016571351857587, min values: 1.7235e-06, max values: 40.356, median values: 0.25949, and quantile values: 0.25 0.067190\n0.50 0.259490\n0.75 1.089685\nName: 3701, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5557395250698112, std values: 5.002638477997213, min values: 2.7234e-06, max values: 39.644, median values: 0.23128, and quantile values: 0.25 0.068593\n0.50 0.231280\n0.75 0.914250\nName: 3702, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.0004917765150942, std values: 5.418649520673966, min values: 6.4369e-06, max values: 41.043, median values: 0.37727, and quantile values: 0.25 0.108055\n0.50 0.377270\n0.75 1.369200\nName: 3703, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4003022137339622, std values: 4.728171021283305, min values: 1.7746e-06, max values: 39.491, median values: 0.18826, and quantile values: 0.25 0.061322\n0.50 0.188260\n0.75 0.825785\nName: 3704, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4117940983022015, std values: 4.807228586098939, min values: 8.9145e-07, max values: 39.627, median values: 0.19157, and quantile values: 0.25 0.054094\n0.50 0.191570\n0.75 0.929975\nName: 3705, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2834096705445281, std values: 4.695468404385271, min values: 5.8218e-07, max values: 38.163, median values: 0.16149, and quantile values: 0.25 0.046672\n0.50 0.161490\n0.75 0.738710\nName: 3706, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4552349074201258, std values: 4.6829458539987305, min values: 1.1386e-06, max values: 37.994, median values: 0.22955, and quantile values: 0.25 0.065744\n0.50 0.229550\n0.75 0.909335\nName: 3707, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3638469967671696, std values: 4.5337920925646555, min values: 8.9308e-07, max values: 36.779, median values: 0.18559, and quantile values: 0.25 0.056205\n0.50 0.185590\n0.75 0.814535\nName: 3708, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6959330376754715, std values: 5.113810048646515, min values: 1.4334e-06, max values: 41.417, median values: 0.27605, and quantile values: 0.25 0.079788\n0.50 0.276050\n0.75 1.168950\nName: 3709, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.598017428418239, std values: 4.917425795708604, min values: 3.9614e-06, max values: 39.602, median values: 0.23222, and quantile values: 0.25 0.065985\n0.50 0.232220\n0.75 0.958635\nName: 3710, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5244347714823898, std values: 5.17731916012784, min values: 2.5345e-06, max values: 42.991, median values: 0.24247, and quantile values: 0.25 0.063051\n0.50 0.242470\n0.75 0.894610\nName: 3711, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6813168399947171, std values: 4.990344568376758, min values: 8.0296e-07, max values: 39.379, median values: 0.27337, and quantile values: 0.25 0.069019\n0.50 0.273370\n0.75 1.173800\nName: 3712, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.497779946090566, std values: 4.718870705916176, min values: 2.5539e-06, max values: 38.871, median values: 0.26388, and quantile values: 0.25 0.073534\n0.50 0.263880\n0.75 0.951255\nName: 3713, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2768314486396226, std values: 4.815250289033771, min values: 2.1365e-06, max values: 39.072, median values: 0.16916, and quantile values: 0.25 0.056982\n0.50 0.169160\n0.75 0.632130\nName: 3714, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2460603048668553, std values: 4.766877776568826, min values: 1.7393e-07, max values: 39.473, median values: 0.15458, and quantile values: 0.25 0.039692\n0.50 0.154580\n0.75 0.606050\nName: 3715, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5324422853949686, std values: 4.759488118365362, min values: 1.712e-06, max values: 38.756, median values: 0.25188, and quantile values: 0.25 0.073778\n0.50 0.251880\n0.75 1.007450\nName: 3716, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3022105573672957, std values: 4.593389716870375, min values: 1.5765e-06, max values: 39.425, median values: 0.16371, and quantile values: 0.25 0.047005\n0.50 0.163710\n0.75 0.831080\nName: 3717, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6109791687930817, std values: 5.1668214101698755, min values: 3.4656e-06, max values: 41.955, median values: 0.25355, and quantile values: 0.25 0.075898\n0.50 0.253550\n0.75 1.005935\nName: 3718, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6167880446157232, std values: 4.976834548058867, min values: 3.0029e-06, max values: 39.295, median values: 0.26241, and quantile values: 0.25 0.080283\n0.50 0.262410\n0.75 1.034550\nName: 3719, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1823449040471699, std values: 4.48191090878523, min values: 1.9147e-06, max values: 39.543, median values: 0.16229, and quantile values: 0.25 0.056450\n0.50 0.162290\n0.75 0.563235\nName: 3720, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5884645274968552, std values: 4.937206981602756, min values: 2.3891e-06, max values: 39.12, median values: 0.26581, and quantile values: 0.25 0.081737\n0.50 0.265810\n0.75 1.030550\nName: 3721, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3936618545117545, std values: 4.615241373097091, min values: 4.5049e-08, max values: 36.041, median values: 0.20259, and quantile values: 0.25 0.048858\n0.50 0.202590\n0.75 0.820420\nName: 3722, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4532576178974843, std values: 5.023669525032821, min values: 3.9978e-06, max values: 40.729, median values: 0.20187, and quantile values: 0.25 0.065117\n0.50 0.201870\n0.75 0.796430\nName: 3723, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.293545533132761, std values: 4.791413253699072, min values: 5.7109e-08, max values: 39.388, median values: 0.15469, and quantile values: 0.25 0.044533\n0.50 0.154690\n0.75 0.681320\nName: 3724, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3918622281023898, std values: 4.892748358169791, min values: 6.4278e-07, max values: 40.573, median values: 0.1891, and quantile values: 0.25 0.054783\n0.50 0.189100\n0.75 0.773420\nName: 3725, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3525569772728931, std values: 4.8879357415107405, min values: 4.6629e-07, max values: 40.591, median values: 0.19236, and quantile values: 0.25 0.049335\n0.50 0.192360\n0.75 0.712240\nName: 3726, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3614212658218678, std values: 4.793236815910008, min values: 2.2387e-08, max values: 39.953, median values: 0.16727, and quantile values: 0.25 0.036472\n0.50 0.167270\n0.75 0.716315\nName: 3727, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3664115382125157, std values: 4.9025760681970105, min values: 6.3169e-07, max values: 40.76, median values: 0.20559, and quantile values: 0.25 0.052459\n0.50 0.205590\n0.75 0.772845\nName: 3728, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5008512444880502, std values: 4.689250824544433, min values: 9.278e-07, max values: 38.068, median values: 0.24106, and quantile values: 0.25 0.064196\n0.50 0.241060\n0.75 0.987135\nName: 3729, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3466281523383647, std values: 4.734907030271547, min values: 2.2913e-06, max values: 39.705, median values: 0.17048, and quantile values: 0.25 0.055837\n0.50 0.170480\n0.75 0.784920\nName: 3730, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2415610485655157, std values: 4.747215776337809, min values: 1.3226e-08, max values: 40.534, median values: 0.12754, and quantile values: 0.25 0.031112\n0.50 0.127540\n0.75 0.576695\nName: 3731, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6974091430696854, std values: 4.995841221503162, min values: 3.694e-07, max values: 40.825, median values: 0.26599, and quantile values: 0.25 0.065367\n0.50 0.265990\n0.75 1.065450\nName: 3732, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.473075815690566, std values: 4.721062136970762, min values: 3.018e-07, max values: 38.32, median values: 0.21284, and quantile values: 0.25 0.050676\n0.50 0.212840\n0.75 1.016810\nName: 3733, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.502245346821321, std values: 4.658874506817164, min values: 4.9419e-07, max values: 37.347, median values: 0.18027, and quantile values: 0.25 0.055330\n0.50 0.180270\n0.75 0.887105\nName: 3734, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3496525003265658, std values: 4.931447192800614, min values: 1.8194e-08, max values: 42.669, median values: 0.17637, and quantile values: 0.25 0.039581\n0.50 0.176370\n0.75 0.711825\nName: 3735, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7110585188194969, std values: 5.150564461288387, min values: 2.2877e-06, max values: 41.161, median values: 0.29889, and quantile values: 0.25 0.072556\n0.50 0.298890\n0.75 1.222700\nName: 3736, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4405800547490564, std values: 4.850096716570855, min values: 1.4505e-06, max values: 38.927, median values: 0.20907, and quantile values: 0.25 0.061030\n0.50 0.209070\n0.75 0.881375\nName: 3737, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3735521121339622, std values: 4.906321348178798, min values: 1.1283e-06, max values: 39.58, median values: 0.18793, and quantile values: 0.25 0.058988\n0.50 0.187930\n0.75 0.736570\nName: 3738, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.447938744623019, std values: 4.93283913624448, min values: 9.6196e-07, max values: 40.203, median values: 0.2082, and quantile values: 0.25 0.063171\n0.50 0.208200\n0.75 0.878235\nName: 3739, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4622160471050316, std values: 4.801954733562509, min values: 1.1945e-06, max values: 39.132, median values: 0.21496, and quantile values: 0.25 0.066268\n0.50 0.214960\n0.75 0.909730\nName: 3740, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5533741191479873, std values: 4.911718523758333, min values: 2.6043e-07, max values: 39.833, median values: 0.22209, and quantile values: 0.25 0.059085\n0.50 0.222090\n0.75 0.980760\nName: 3741, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7465185830668553, std values: 5.101444872434611, min values: 9.5043e-07, max values: 40.557, median values: 0.29523, and quantile values: 0.25 0.083608\n0.50 0.295230\n0.75 1.266050\nName: 3742, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.601247974245264, std values: 5.0717309494756115, min values: 2.8697e-08, max values: 42.44, median values: 0.26122, and quantile values: 0.25 0.05175\n0.50 0.26122\n0.75 1.02782\nName: 3743, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4598734568277356, std values: 5.071562049018527, min values: 2.5221e-07, max values: 42.884, median values: 0.18434, and quantile values: 0.25 0.049798\n0.50 0.184340\n0.75 0.832815\nName: 3744, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3312218734301886, std values: 4.608965836587926, min values: 1.2367e-06, max values: 37.49, median values: 0.16837, and quantile values: 0.25 0.050701\n0.50 0.168370\n0.75 0.727425\nName: 3745, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6351042184572324, std values: 5.063330148601647, min values: 2.865e-07, max values: 41.742, median values: 0.2586, and quantile values: 0.25 0.066908\n0.50 0.258600\n0.75 1.063950\nName: 3746, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5751373189471698, std values: 5.057095841291592, min values: 1.1974e-06, max values: 41.965, median values: 0.22876, and quantile values: 0.25 0.065218\n0.50 0.228760\n0.75 0.988855\nName: 3747, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4203954826300629, std values: 4.528917060197035, min values: 4.0548e-07, max values: 37.256, median values: 0.20967, and quantile values: 0.25 0.056667\n0.50 0.209670\n0.75 0.928575\nName: 3748, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5458158752635218, std values: 5.0070445527984315, min values: 1.4027e-06, max values: 39.961, median values: 0.2303, and quantile values: 0.25 0.064015\n0.50 0.230300\n0.75 0.978905\nName: 3749, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.602810254599371, std values: 5.142028741311283, min values: 2.2063e-06, max values: 41.914, median values: 0.25373, and quantile values: 0.25 0.074692\n0.50 0.253730\n0.75 1.020200\nName: 3750, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2202519926936477, std values: 4.841511324541639, min values: 5.0529e-07, max values: 40.708, median values: 0.13335, and quantile values: 0.25 0.042168\n0.50 0.133350\n0.75 0.574505\nName: 3751, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4480284812815725, std values: 4.683072452878111, min values: 9.3707e-07, max values: 38.442, median values: 0.20131, and quantile values: 0.25 0.061349\n0.50 0.201310\n0.75 0.900540\nName: 3752, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4269896265880504, std values: 4.691062667883965, min values: 1.4087e-06, max values: 38.134, median values: 0.22739, and quantile values: 0.25 0.065016\n0.50 0.227390\n0.75 0.869535\nName: 3753, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5099886501786162, std values: 5.0852581035572335, min values: 5.1472e-06, max values: 40.941, median values: 0.24752, and quantile values: 0.25 0.067256\n0.50 0.247520\n0.75 0.761670\nName: 3754, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2738069287244027, std values: 4.773925253582773, min values: 1.348e-08, max values: 39.61, median values: 0.13459, and quantile values: 0.25 0.044014\n0.50 0.134590\n0.75 0.679650\nName: 3755, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4109185684693082, std values: 4.805092396144325, min values: 2.4442e-07, max values: 38.84, median values: 0.17782, and quantile values: 0.25 0.053738\n0.50 0.177820\n0.75 0.812530\nName: 3756, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3919916684603773, std values: 4.861082227377598, min values: 1.4669e-06, max values: 39.314, median values: 0.19764, and quantile values: 0.25 0.06336\n0.50 0.19764\n0.75 0.81013\nName: 3757, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3594930302704404, std values: 4.8012087137076955, min values: 2.8968e-07, max values: 39.4, median values: 0.18471, and quantile values: 0.25 0.044841\n0.50 0.184710\n0.75 0.720410\nName: 3758, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.291244912381132, std values: 4.819778868957876, min values: 2.5406e-06, max values: 40.654, median values: 0.15479, and quantile values: 0.25 0.055334\n0.50 0.154790\n0.75 0.653180\nName: 3759, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.447136352625786, std values: 4.770812054078462, min values: 1.1164e-06, max values: 38.196, median values: 0.23047, and quantile values: 0.25 0.058472\n0.50 0.230470\n0.75 0.888580\nName: 3760, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.497512404008478, std values: 4.774984776265173, min values: 3.3298e-08, max values: 38.043, median values: 0.18628, and quantile values: 0.25 0.045443\n0.50 0.186280\n0.75 0.939400\nName: 3761, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.286591009126478, std values: 4.589232260827041, min values: 1.805e-07, max values: 36.896, median values: 0.17592, and quantile values: 0.25 0.048940\n0.50 0.175920\n0.75 0.705685\nName: 3762, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3866157974008175, std values: 4.497032485243417, min values: 8.0983e-07, max values: 38.169, median values: 0.21361, and quantile values: 0.25 0.058469\n0.50 0.213610\n0.75 0.878605\nName: 3763, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5524595875264153, std values: 4.9634357914116665, min values: 3.5952e-06, max values: 40.767, median values: 0.22798, and quantile values: 0.25 0.063214\n0.50 0.227980\n0.75 0.956925\nName: 3764, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5582747025830188, std values: 4.842359427330593, min values: 1.4954e-06, max values: 38.287, median values: 0.2685, and quantile values: 0.25 0.069998\n0.50 0.268500\n0.75 1.069900\nName: 3765, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5042044410025157, std values: 4.957385429686858, min values: 1.0726e-06, max values: 40.365, median values: 0.24792, and quantile values: 0.25 0.060115\n0.50 0.247920\n0.75 0.873815\nName: 3766, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4231891840396225, std values: 4.911004773419476, min values: 3.1679e-06, max values: 40.321, median values: 0.18899, and quantile values: 0.25 0.05183\n0.50 0.18899\n0.75 0.76226\nName: 3767, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6803501614705407, std values: 5.094646927248342, min values: 2.0166e-08, max values: 42.867, median values: 0.22364, and quantile values: 0.25 0.051904\n0.50 0.223640\n0.75 1.091750\nName: 3768, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.430571929364151, std values: 4.9778649509863, min values: 1.4233e-06, max values: 41.346, median values: 0.21496, and quantile values: 0.25 0.067685\n0.50 0.214960\n0.75 0.804310\nName: 3769, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3865956743691823, std values: 4.949349287280363, min values: 2.8602e-06, max values: 40.649, median values: 0.19102, and quantile values: 0.25 0.061904\n0.50 0.191020\n0.75 0.777020\nName: 3770, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4550673586282012, std values: 4.768329526245701, min values: 1.9884e-08, max values: 37.7, median values: 0.21308, and quantile values: 0.25 0.059108\n0.50 0.213080\n0.75 0.927015\nName: 3771, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.409498739247799, std values: 5.016414749370377, min values: 2.9358e-07, max values: 43.522, median values: 0.20121, and quantile values: 0.25 0.047086\n0.50 0.201210\n0.75 0.778735\nName: 3772, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7167148439940882, std values: 5.215264109174563, min values: 3.1516e-07, max values: 44.189, median values: 0.28341, and quantile values: 0.25 0.068821\n0.50 0.283410\n0.75 1.174750\nName: 3773, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.417082377865975, std values: 4.721266048223672, min values: 1.4589e-07, max values: 37.718, median values: 0.19234, and quantile values: 0.25 0.049112\n0.50 0.192340\n0.75 0.875110\nName: 3774, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3167363870609687, std values: 4.8061566318106355, min values: 2.3694e-08, max values: 39.973, median values: 0.16205, and quantile values: 0.25 0.043834\n0.50 0.162050\n0.75 0.704955\nName: 3775, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.38567401283522, std values: 4.709548911499525, min values: 1.4346e-06, max values: 39.255, median values: 0.17455, and quantile values: 0.25 0.05775\n0.50 0.17455\n0.75 0.81939\nName: 3776, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4005405387647798, std values: 4.805368600609034, min values: 3.0655e-06, max values: 39.887, median values: 0.20707, and quantile values: 0.25 0.062646\n0.50 0.207070\n0.75 0.838955\nName: 3777, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3353529946960567, std values: 4.480566595226054, min values: 2.1393e-08, max values: 35.946, median values: 0.20574, and quantile values: 0.25 0.044038\n0.50 0.205740\n0.75 0.818005\nName: 3778, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4299303551340252, std values: 4.836256824682891, min values: 3.273e-08, max values: 39.752, median values: 0.23803, and quantile values: 0.25 0.04249\n0.50 0.23803\n0.75 0.88503\nName: 3779, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5037006497616352, std values: 4.963469791316601, min values: 1.0576e-06, max values: 40.16, median values: 0.23262, and quantile values: 0.25 0.05817\n0.50 0.23262\n0.75 0.90888\nName: 3780, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4096146772637108, std values: 4.896334940771662, min values: 6.2293e-07, max values: 40.234, median values: 0.18896, and quantile values: 0.25 0.062016\n0.50 0.188960\n0.75 0.746545\nName: 3781, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5139435171962263, std values: 4.995186874472484, min values: 1.1086e-06, max values: 40.845, median values: 0.24924, and quantile values: 0.25 0.065129\n0.50 0.249240\n0.75 0.858470\nName: 3782, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5964378198430187, std values: 5.0600019812728405, min values: 7.6254e-07, max values: 41.332, median values: 0.2443, and quantile values: 0.25 0.06960\n0.50 0.24430\n0.75 0.99243\nName: 3783, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4698621153580502, std values: 4.687880719577941, min values: 8.1173e-07, max values: 37.915, median values: 0.22576, and quantile values: 0.25 0.065361\n0.50 0.225760\n0.75 0.973140\nName: 3784, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4548248490025788, std values: 4.875625373120824, min values: 8.2541e-07, max values: 39.439, median values: 0.21251, and quantile values: 0.25 0.063606\n0.50 0.212510\n0.75 0.879345\nName: 3785, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6584473197503147, std values: 5.253597535596431, min values: 5.4656e-06, max values: 41.734, median values: 0.25151, and quantile values: 0.25 0.088227\n0.50 0.251510\n0.75 0.976300\nName: 3786, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4341212029044024, std values: 4.811139804936584, min values: 2.7636e-06, max values: 39.67, median values: 0.22639, and quantile values: 0.25 0.060966\n0.50 0.226390\n0.75 0.837680\nName: 3787, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5526689295830192, std values: 5.01583926284423, min values: 1.7843e-06, max values: 40.313, median values: 0.24367, and quantile values: 0.25 0.070153\n0.50 0.243670\n0.75 0.959350\nName: 3788, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6745399819572329, std values: 5.103271592337765, min values: 1.0049e-06, max values: 41.365, median values: 0.30561, and quantile values: 0.25 0.073505\n0.50 0.305610\n0.75 1.141700\nName: 3789, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.627900135655975, std values: 5.1620368714967695, min values: 8.1173e-06, max values: 42.361, median values: 0.23336, and quantile values: 0.25 0.078445\n0.50 0.233360\n0.75 0.976510\nName: 3790, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5962299649855347, std values: 5.1096358025047275, min values: 2.8397e-06, max values: 41.033, median values: 0.26925, and quantile values: 0.25 0.08296\n0.50 0.26925\n0.75 0.97913\nName: 3791, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5573394340725155, std values: 4.957111894163734, min values: 3.1348e-07, max values: 41.099, median values: 0.22866, and quantile values: 0.25 0.054158\n0.50 0.228660\n0.75 0.981125\nName: 3792, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.541732389198742, std values: 4.847264495196812, min values: 9.535e-07, max values: 38.099, median values: 0.24715, and quantile values: 0.25 0.065899\n0.50 0.247150\n0.75 0.995585\nName: 3793, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4640899779075471, std values: 4.713855957629523, min values: 1.217e-06, max values: 38.551, median values: 0.21972, and quantile values: 0.25 0.066484\n0.50 0.219720\n0.75 0.962745\nName: 3794, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3426044682905662, std values: 4.973178035255272, min values: 1.4221e-06, max values: 41.34, median values: 0.17269, and quantile values: 0.25 0.059635\n0.50 0.172690\n0.75 0.700815\nName: 3795, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6244054119245912, std values: 5.222323020924364, min values: 5.6121e-07, max values: 45.721, median values: 0.24924, and quantile values: 0.25 0.060063\n0.50 0.249240\n0.75 1.034410\nName: 3796, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6056249285987423, std values: 5.3520960614888216, min values: 2.1744e-06, max values: 47.043, median values: 0.23812, and quantile values: 0.25 0.075501\n0.50 0.238120\n0.75 0.985980\nName: 3797, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3151188695704403, std values: 4.697418294545291, min values: 1.8321e-06, max values: 38.86, median values: 0.19344, and quantile values: 0.25 0.053457\n0.50 0.193440\n0.75 0.689885\nName: 3798, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6028138727050314, std values: 5.079597568493981, min values: 1.5345e-06, max values: 41.105, median values: 0.26003, and quantile values: 0.25 0.070024\n0.50 0.260030\n0.75 1.089850\nName: 3799, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5251254077088052, std values: 5.06330501883687, min values: 1.9691e-06, max values: 41.089, median values: 0.22113, and quantile values: 0.25 0.065878\n0.50 0.221130\n0.75 0.916480\nName: 3800, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.353760682756478, std values: 4.733218271766283, min values: 4.6078e-07, max values: 37.883, median values: 0.18138, and quantile values: 0.25 0.049422\n0.50 0.181380\n0.75 0.697930\nName: 3801, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3101439716251697, std values: 4.393528166142033, min values: 2.6022e-08, max values: 36.311, median values: 0.17309, and quantile values: 0.25 0.038288\n0.50 0.173090\n0.75 0.729510\nName: 3802, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.535303465008176, std values: 5.021064178200917, min values: 4.8666e-06, max values: 40.422, median values: 0.22766, and quantile values: 0.25 0.070392\n0.50 0.227660\n0.75 0.905375\nName: 3803, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3998245963370441, std values: 4.724316491371311, min values: 5.3809e-07, max values: 37.868, median values: 0.19107, and quantile values: 0.25 0.059459\n0.50 0.191070\n0.75 0.883470\nName: 3804, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.431606595209434, std values: 4.910046673305674, min values: 1.8051e-06, max values: 39.504, median values: 0.23266, and quantile values: 0.25 0.061513\n0.50 0.232660\n0.75 0.796190\nName: 3805, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.537369380337736, std values: 4.938954433866515, min values: 1.7872e-06, max values: 39.177, median values: 0.2492, and quantile values: 0.25 0.069801\n0.50 0.249200\n0.75 0.960690\nName: 3806, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.550698448548868, std values: 5.225854091567052, min values: 4.5517e-07, max values: 46.15, median values: 0.21374, and quantile values: 0.25 0.061860\n0.50 0.213740\n0.75 0.951675\nName: 3807, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4806771765226414, std values: 5.087013974577447, min values: 3.4589e-06, max values: 41.35, median values: 0.19659, and quantile values: 0.25 0.058694\n0.50 0.196590\n0.75 0.826445\nName: 3808, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5171345603324529, std values: 4.969574883045101, min values: 2.8072e-07, max values: 41.777, median values: 0.18448, and quantile values: 0.25 0.048249\n0.50 0.184480\n0.75 0.859815\nName: 3809, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3992558095346541, std values: 4.845058729639473, min values: 7.4131e-07, max values: 39.782, median values: 0.19126, and quantile values: 0.25 0.055960\n0.50 0.191260\n0.75 0.821375\nName: 3810, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3932379055184279, std values: 4.9645942148407185, min values: 1.9823e-07, max values: 40.8, median values: 0.17766, and quantile values: 0.25 0.049889\n0.50 0.177660\n0.75 0.797455\nName: 3811, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4065043964798742, std values: 4.7232050451189105, min values: 1.3558e-06, max values: 38.404, median values: 0.18996, and quantile values: 0.25 0.070942\n0.50 0.189960\n0.75 0.875000\nName: 3812, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.0502296263811322, std values: 4.360583956916215, min values: 1.7792e-07, max values: 35.167, median values: 0.095283, and quantile values: 0.25 0.027154\n0.50 0.095283\n0.75 0.474165\nName: 3813, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6596701526666668, std values: 5.032790756601467, min values: 1.8745e-06, max values: 39.377, median values: 0.2644, and quantile values: 0.25 0.075105\n0.50 0.264400\n0.75 1.128500\nName: 3814, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.377763024571698, std values: 4.649503861134371, min values: 3.5789e-06, max values: 40.046, median values: 0.22308, and quantile values: 0.25 0.064298\n0.50 0.223080\n0.75 0.770260\nName: 3815, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6198778427942138, std values: 4.9855800733307944, min values: 1.2498e-07, max values: 39.73, median values: 0.261, and quantile values: 0.25 0.068009\n0.50 0.261000\n0.75 1.097550\nName: 3816, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.68107622369044, std values: 5.38531438727816, min values: 8.7218e-07, max values: 48.128, median values: 0.22193, and quantile values: 0.25 0.057892\n0.50 0.221930\n0.75 0.953465\nName: 3817, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4181575843283016, std values: 5.124508082503851, min values: 1.7068e-06, max values: 44.324, median values: 0.1956, and quantile values: 0.25 0.060870\n0.50 0.195600\n0.75 0.799815\nName: 3818, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4638862456647799, std values: 4.840942154151685, min values: 1.1298e-06, max values: 38.429, median values: 0.21543, and quantile values: 0.25 0.065430\n0.50 0.215430\n0.75 0.962505\nName: 3819, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6919692092308174, std values: 5.013786391765987, min values: 1.4015e-06, max values: 39.181, median values: 0.25185, and quantile values: 0.25 0.075992\n0.50 0.251850\n0.75 1.243150\nName: 3820, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.647306681618868, std values: 5.0713355874886075, min values: 3.8823e-06, max values: 40.046, median values: 0.26271, and quantile values: 0.25 0.080502\n0.50 0.262710\n0.75 1.082950\nName: 3821, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3698569208427673, std values: 5.023713626592864, min values: 2.0391e-06, max values: 40.869, median values: 0.18617, and quantile values: 0.25 0.054283\n0.50 0.186170\n0.75 0.772155\nName: 3822, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.314568611835912, std values: 4.980083767366673, min values: 5.9031e-07, max values: 42.665, median values: 0.18697, and quantile values: 0.25 0.050972\n0.50 0.186970\n0.75 0.716315\nName: 3823, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2798827078837107, std values: 4.732083908210316, min values: 4.9111e-07, max values: 38.236, median values: 0.16667, and quantile values: 0.25 0.049101\n0.50 0.166670\n0.75 0.755460\nName: 3824, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4477538449676102, std values: 4.881283381702323, min values: 9.7595e-07, max values: 39.534, median values: 0.21492, and quantile values: 0.25 0.064422\n0.50 0.214920\n0.75 0.843650\nName: 3825, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4062947088269813, std values: 4.883537103093489, min values: 5.6989e-07, max values: 39.939, median values: 0.21518, and quantile values: 0.25 0.05813\n0.50 0.21518\n0.75 0.79785\nName: 3826, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6014019614327044, std values: 4.875662935641038, min values: 3.036e-06, max values: 39.671, median values: 0.31003, and quantile values: 0.25 0.072213\n0.50 0.310030\n0.75 1.007810\nName: 3827, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.589160100210063, std values: 5.077338931906366, min values: 5.7769e-06, max values: 40.76, median values: 0.26615, and quantile values: 0.25 0.067793\n0.50 0.266150\n0.75 0.899495\nName: 3828, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.419494871987547, std values: 4.912415344010178, min values: 1.5388e-07, max values: 41.129, median values: 0.20166, and quantile values: 0.25 0.04631\n0.50 0.20166\n0.75 0.79026\nName: 3829, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5070412649662261, std values: 4.766333769060482, min values: 2.6143e-07, max values: 37.506, median values: 0.24049, and quantile values: 0.25 0.053985\n0.50 0.240490\n0.75 1.019150\nName: 3830, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4773011233385536, std values: 4.982897757350953, min values: 8.0193e-07, max values: 41.527, median values: 0.21292, and quantile values: 0.25 0.064649\n0.50 0.212920\n0.75 0.837625\nName: 3831, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5744479361264152, std values: 4.9852249884156725, min values: 3.618e-06, max values: 39.718, median values: 0.2563, and quantile values: 0.25 0.072408\n0.50 0.256300\n0.75 1.006335\nName: 3832, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4748589751566037, std values: 5.196262378189825, min values: 2.401e-06, max values: 43.708, median values: 0.23385, and quantile values: 0.25 0.061934\n0.50 0.233850\n0.75 0.875645\nName: 3833, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.213920182273711, std values: 4.483776445421308, min values: 3.3278e-07, max values: 36.396, median values: 0.17596, and quantile values: 0.25 0.048341\n0.50 0.175960\n0.75 0.663110\nName: 3834, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2454350158621386, std values: 4.538722621750194, min values: 3.4518e-07, max values: 37.368, median values: 0.15799, and quantile values: 0.25 0.045219\n0.50 0.157990\n0.75 0.654255\nName: 3835, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4239728975223271, std values: 5.068608664930572, min values: 5.2555e-07, max values: 43.7, median values: 0.18222, and quantile values: 0.25 0.057140\n0.50 0.182220\n0.75 0.763755\nName: 3836, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4669578853020127, std values: 4.924934545801716, min values: 2.4662e-07, max values: 39.885, median values: 0.20644, and quantile values: 0.25 0.055928\n0.50 0.206440\n0.75 0.851355\nName: 3837, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1753150361969622, std values: 4.412287577792974, min values: 2.1078e-08, max values: 35.046, median values: 0.15125, and quantile values: 0.25 0.032812\n0.50 0.151250\n0.75 0.564270\nName: 3838, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4508508554584276, std values: 4.7550531234162055, min values: 2.6139e-07, max values: 37.718, median values: 0.20502, and quantile values: 0.25 0.053897\n0.50 0.205020\n0.75 0.834185\nName: 3839, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4327442153735848, std values: 4.985420706764243, min values: 1.676e-06, max values: 40.491, median values: 0.19327, and quantile values: 0.25 0.060744\n0.50 0.193270\n0.75 0.832555\nName: 3840, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.354107201377107, std values: 4.791101156782059, min values: 8.3606e-07, max values: 39.795, median values: 0.19172, and quantile values: 0.25 0.065701\n0.50 0.191720\n0.75 0.764255\nName: 3841, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5773475459728994, std values: 4.888445509839062, min values: 2.0691e-08, max values: 38.549, median values: 0.26213, and quantile values: 0.25 0.062858\n0.50 0.262130\n0.75 1.007350\nName: 3842, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4641083678113207, std values: 4.912451230525923, min values: 1.338e-07, max values: 40.872, median values: 0.20066, and quantile values: 0.25 0.063633\n0.50 0.200660\n0.75 0.815510\nName: 3843, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4420322400213836, std values: 4.789316133210268, min values: 2.9022e-06, max values: 40.093, median values: 0.21422, and quantile values: 0.25 0.063064\n0.50 0.214220\n0.75 0.846950\nName: 3844, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.323322277437107, std values: 4.831775116166404, min values: 1.3204e-06, max values: 39.015, median values: 0.1608, and quantile values: 0.25 0.049087\n0.50 0.160800\n0.75 0.664305\nName: 3845, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4499715546647798, std values: 4.799366812377471, min values: 1.9247e-06, max values: 38.431, median values: 0.24831, and quantile values: 0.25 0.066488\n0.50 0.248310\n0.75 0.858765\nName: 3846, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4312810187691825, std values: 5.036940724130943, min values: 1.6747e-06, max values: 41.397, median values: 0.21199, and quantile values: 0.25 0.053785\n0.50 0.211990\n0.75 0.875640\nName: 3847, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4175467723515724, std values: 4.7167448784564225, min values: 1.4518e-06, max values: 39.085, median values: 0.20598, and quantile values: 0.25 0.063239\n0.50 0.205980\n0.75 0.808690\nName: 3848, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5499721593840252, std values: 4.5798588666776245, min values: 7.6636e-07, max values: 37.78, median values: 0.26671, and quantile values: 0.25 0.068656\n0.50 0.266710\n0.75 1.078350\nName: 3849, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7594810243402519, std values: 5.17948057966904, min values: 3.2846e-06, max values: 40.677, median values: 0.32693, and quantile values: 0.25 0.085832\n0.50 0.326930\n0.75 1.256100\nName: 3850, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5901925650182391, std values: 5.072397552258551, min values: 1.1335e-06, max values: 41.245, median values: 0.2486, and quantile values: 0.25 0.073599\n0.50 0.248600\n0.75 1.005840\nName: 3851, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4722731604238994, std values: 4.753275320386292, min values: 1.9604e-06, max values: 39.241, median values: 0.25192, and quantile values: 0.25 0.061020\n0.50 0.251920\n0.75 1.025065\nName: 3852, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5849536263911952, std values: 4.982498495287164, min values: 2.2886e-06, max values: 39.472, median values: 0.26171, and quantile values: 0.25 0.077464\n0.50 0.261710\n0.75 1.023950\nName: 3853, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2914639841383648, std values: 4.729825048271066, min values: 1.7187e-06, max values: 38.838, median values: 0.17852, and quantile values: 0.25 0.055788\n0.50 0.178520\n0.75 0.630525\nName: 3854, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2816445863113208, std values: 4.572227152101512, min values: 1.3262e-06, max values: 38.561, median values: 0.17679, and quantile values: 0.25 0.052164\n0.50 0.176790\n0.75 0.721900\nName: 3855, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3756741989216477, std values: 4.8955508615356, min values: 2.4665e-08, max values: 42.62, median values: 0.15595, and quantile values: 0.25 0.036631\n0.50 0.155950\n0.75 0.713805\nName: 3856, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3033959086691824, std values: 4.6127849961840015, min values: 2.9167e-07, max values: 36.594, median values: 0.15919, and quantile values: 0.25 0.049031\n0.50 0.159190\n0.75 0.715460\nName: 3857, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5386699182301886, std values: 5.162991535994923, min values: 4.3175e-06, max values: 41.873, median values: 0.25585, and quantile values: 0.25 0.073456\n0.50 0.255850\n0.75 0.866115\nName: 3858, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5948449413157233, std values: 5.004577683875167, min values: 2.2802e-06, max values: 39.519, median values: 0.26597, and quantile values: 0.25 0.070853\n0.50 0.265970\n0.75 1.004250\nName: 3859, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5645589547308176, std values: 5.414368468548604, min values: 3.7753e-06, max values: 45.278, median values: 0.23585, and quantile values: 0.25 0.057013\n0.50 0.235850\n0.75 0.817020\nName: 3860, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7428951320213837, std values: 5.21263224499976, min values: 1.2644e-06, max values: 43.583, median values: 0.29167, and quantile values: 0.25 0.080056\n0.50 0.291670\n0.75 1.208050\nName: 3861, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7285201499125786, std values: 5.136717199557476, min values: 3.5971e-06, max values: 40.472, median values: 0.25621, and quantile values: 0.25 0.071122\n0.50 0.256210\n0.75 1.151200\nName: 3862, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4808363896069183, std values: 4.840485305761395, min values: 1.9337e-06, max values: 39.557, median values: 0.23359, and quantile values: 0.25 0.057362\n0.50 0.233590\n0.75 0.965960\nName: 3863, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3545396623684904, std values: 4.549492344373173, min values: 5.3469e-07, max values: 37.064, median values: 0.18144, and quantile values: 0.25 0.053195\n0.50 0.181440\n0.75 0.762860\nName: 3864, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5972111235528303, std values: 4.826201928936061, min values: 1.945e-06, max values: 39.326, median values: 0.28333, and quantile values: 0.25 0.080185\n0.50 0.283330\n0.75 1.059750\nName: 3865, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.427699929709434, std values: 4.825488316664155, min values: 1.2602e-06, max values: 38.174, median values: 0.19807, and quantile values: 0.25 0.060496\n0.50 0.198070\n0.75 0.802345\nName: 3866, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7324797189101888, std values: 5.326224235295021, min values: 7.8602e-07, max values: 45.954, median values: 0.2861, and quantile values: 0.25 0.073479\n0.50 0.286100\n0.75 1.218600\nName: 3867, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7338635181069184, std values: 5.208116914639245, min values: 3.0704e-06, max values: 41.728, median values: 0.28307, and quantile values: 0.25 0.077633\n0.50 0.283070\n0.75 1.116200\nName: 3868, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.475078344207673, std values: 4.8457380915010715, min values: 6.4762e-07, max values: 38.833, median values: 0.21598, and quantile values: 0.25 0.064497\n0.50 0.215980\n0.75 0.905575\nName: 3869, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3591983496150315, std values: 4.687823789030778, min values: 1.7729e-07, max values: 37.307, median values: 0.21091, and quantile values: 0.25 0.055735\n0.50 0.210910\n0.75 0.825015\nName: 3870, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5320291439303144, std values: 4.92264984654326, min values: 3.8472e-07, max values: 39.6, median values: 0.22575, and quantile values: 0.25 0.060612\n0.50 0.225750\n0.75 0.970165\nName: 3871, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5007408946530314, std values: 4.988428697910444, min values: 5.8432e-08, max values: 41.777, median values: 0.19085, and quantile values: 0.25 0.052945\n0.50 0.190850\n0.75 0.868145\nName: 3872, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.530828085064654, std values: 5.105456837014015, min values: 4.8168e-07, max values: 43.257, median values: 0.22425, and quantile values: 0.25 0.069120\n0.50 0.224250\n0.75 0.925575\nName: 3873, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3710947256955974, std values: 4.746943812638169, min values: 1.5389e-06, max values: 39.485, median values: 0.20952, and quantile values: 0.25 0.059487\n0.50 0.209520\n0.75 0.791085\nName: 3874, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6236067094433964, std values: 5.029760704548227, min values: 1.2405e-06, max values: 39.998, median values: 0.24726, and quantile values: 0.25 0.076121\n0.50 0.247260\n0.75 1.084800\nName: 3875, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3685777278054716, std values: 4.7870357941170525, min values: 9.5507e-07, max values: 38.593, median values: 0.15808, and quantile values: 0.25 0.052810\n0.50 0.158080\n0.75 0.708725\nName: 3876, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.508386296872956, std values: 5.058393156326631, min values: 1.6934e-06, max values: 42.581, median values: 0.24821, and quantile values: 0.25 0.066831\n0.50 0.248210\n0.75 0.949610\nName: 3877, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.492555886641006, std values: 4.843500355507702, min values: 6.3022e-07, max values: 38.681, median values: 0.21475, and quantile values: 0.25 0.059158\n0.50 0.214750\n0.75 0.914610\nName: 3878, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6677771748477987, std values: 5.161075712122907, min values: 1.8867e-06, max values: 41.628, median values: 0.27191, and quantile values: 0.25 0.070926\n0.50 0.271910\n0.75 1.107000\nName: 3879, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.638993867715975, std values: 5.178010967979023, min values: 6.5414e-07, max values: 43.403, median values: 0.25285, and quantile values: 0.25 0.071663\n0.50 0.252850\n0.75 1.097850\nName: 3880, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4031931769278678, std values: 4.8603012695170325, min values: 1.5657e-08, max values: 41.734, median values: 0.16428, and quantile values: 0.25 0.032812\n0.50 0.164280\n0.75 0.709445\nName: 3881, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3240095459827044, std values: 4.860952671413406, min values: 7.3975e-07, max values: 39.595, median values: 0.17755, and quantile values: 0.25 0.048218\n0.50 0.177550\n0.75 0.729320\nName: 3882, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3367142842266666, std values: 5.084199631658199, min values: 8.8084e-07, max values: 43.534, median values: 0.15693, and quantile values: 0.25 0.051423\n0.50 0.156930\n0.75 0.710920\nName: 3883, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5442909512150944, std values: 5.29984455550927, min values: 2.8061e-06, max values: 45.237, median values: 0.22267, and quantile values: 0.25 0.063106\n0.50 0.222670\n0.75 0.917150\nName: 3884, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.612767287516981, std values: 4.962921302221155, min values: 1.8933e-06, max values: 39.553, median values: 0.24355, and quantile values: 0.25 0.069712\n0.50 0.243550\n0.75 1.076345\nName: 3885, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5101587310238993, std values: 5.10670008068213, min values: 3.8908e-06, max values: 41.534, median values: 0.2295, and quantile values: 0.25 0.067384\n0.50 0.229500\n0.75 0.851070\nName: 3886, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4819684713654087, std values: 4.975932223905278, min values: 1.4082e-06, max values: 40.355, median values: 0.20678, and quantile values: 0.25 0.059918\n0.50 0.206780\n0.75 0.862400\nName: 3887, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4460904055786163, std values: 4.655088868720625, min values: 2.0211e-06, max values: 39.088, median values: 0.23406, and quantile values: 0.25 0.069827\n0.50 0.234060\n0.75 0.889110\nName: 3888, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4346097628142769, std values: 4.664683601474463, min values: 8.4337e-07, max values: 38.075, median values: 0.19637, and quantile values: 0.25 0.058223\n0.50 0.196370\n0.75 0.811760\nName: 3889, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.134162201890189, std values: 4.616294185514263, min values: 4.0514e-07, max values: 37.219, median values: 0.12193, and quantile values: 0.25 0.038123\n0.50 0.121930\n0.75 0.537815\nName: 3890, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.478336329666038, std values: 5.016158116910617, min values: 2.7387e-06, max values: 40.591, median values: 0.23259, and quantile values: 0.25 0.062828\n0.50 0.232590\n0.75 0.853510\nName: 3891, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5366173156603773, std values: 4.737161466486921, min values: 0.0, max values: 39.061, median values: 0.23908, and quantile values: 0.25 0.068031\n0.50 0.239080\n0.75 1.033035\nName: 3892, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9565135505937108, std values: 5.570923588656656, min values: 1.469e-06, max values: 47.685, median values: 0.28801, and quantile values: 0.25 0.080611\n0.50 0.288010\n0.75 1.305350\nName: 3893, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.29261996333522, std values: 4.885786784223228, min values: 1.0981e-06, max values: 40.494, median values: 0.16921, and quantile values: 0.25 0.049904\n0.50 0.169210\n0.75 0.691615\nName: 3894, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3778724351918237, std values: 4.659497622610693, min values: 1.1492e-06, max values: 38.708, median values: 0.19858, and quantile values: 0.25 0.052739\n0.50 0.198580\n0.75 0.839890\nName: 3895, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5110486962471694, std values: 5.259670226447442, min values: 2.4659e-06, max values: 45.547, median values: 0.21204, and quantile values: 0.25 0.066454\n0.50 0.212040\n0.75 0.894190\nName: 3896, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4544491430044026, std values: 4.906915023249999, min values: 3.4896e-06, max values: 40.166, median values: 0.20633, and quantile values: 0.25 0.067655\n0.50 0.206330\n0.75 0.836440\nName: 3897, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.520567148572327, std values: 4.922578600096572, min values: 8.25e-07, max values: 39.715, median values: 0.25694, and quantile values: 0.25 0.068537\n0.50 0.256940\n0.75 0.894030\nName: 3898, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4011457367181135, std values: 4.910301921013704, min values: 7.3708e-07, max values: 40.691, median values: 0.18642, and quantile values: 0.25 0.051562\n0.50 0.186420\n0.75 0.823080\nName: 3899, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.492948138153088, std values: 4.750991043642573, min values: 2.7341e-08, max values: 37.693, median values: 0.21488, and quantile values: 0.25 0.051500\n0.50 0.214880\n0.75 0.963095\nName: 3900, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7456073748144656, std values: 5.093158338875423, min values: 5.4206e-06, max values: 40.163, median values: 0.30923, and quantile values: 0.25 0.086604\n0.50 0.309230\n0.75 1.137400\nName: 3901, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4964710211069183, std values: 5.027833898944344, min values: 2.1892e-06, max values: 40.689, median values: 0.21271, and quantile values: 0.25 0.064574\n0.50 0.212710\n0.75 0.909145\nName: 3902, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.452850424735283, std values: 4.604899725307668, min values: 1.6093e-07, max values: 36.409, median values: 0.22892, and quantile values: 0.25 0.058086\n0.50 0.228920\n0.75 0.878860\nName: 3903, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5291117280157234, std values: 4.982978896986058, min values: 1.7525e-06, max values: 40.652, median values: 0.2463, and quantile values: 0.25 0.081597\n0.50 0.246300\n0.75 0.913110\nName: 3904, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4268161112675095, std values: 4.71066732318954, min values: 5.6964e-08, max values: 36.983, median values: 0.18811, and quantile values: 0.25 0.048167\n0.50 0.188110\n0.75 0.793050\nName: 3905, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5199503018987421, std values: 5.150106288377961, min values: 3.1474e-06, max values: 41.433, median values: 0.24442, and quantile values: 0.25 0.073541\n0.50 0.244420\n0.75 0.850180\nName: 3906, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7152730494628934, std values: 5.173509511431657, min values: 5.2015e-06, max values: 40.382, median values: 0.28019, and quantile values: 0.25 0.080601\n0.50 0.280190\n0.75 1.109900\nName: 3907, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.740104672691824, std values: 5.237919372496278, min values: 1.542e-06, max values: 44.254, median values: 0.28475, and quantile values: 0.25 0.076572\n0.50 0.284750\n0.75 1.198950\nName: 3908, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.404682942445912, std values: 4.6839471403135065, min values: 2.6738e-06, max values: 40.075, median values: 0.20341, and quantile values: 0.25 0.063942\n0.50 0.203410\n0.75 0.803050\nName: 3909, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6349881945566038, std values: 5.032944962138953, min values: 4.1707e-06, max values: 40.017, median values: 0.28133, and quantile values: 0.25 0.073836\n0.50 0.281330\n0.75 1.030500\nName: 3910, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5686700599018868, std values: 5.203926017500949, min values: 3.5241e-06, max values: 43.261, median values: 0.23318, and quantile values: 0.25 0.065546\n0.50 0.233180\n0.75 0.972675\nName: 3911, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6355982501992452, std values: 5.08722250586644, min values: 4.5588e-07, max values: 42.033, median values: 0.28043, and quantile values: 0.25 0.067621\n0.50 0.280430\n0.75 1.085700\nName: 3912, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4201502033722642, std values: 4.804390861944444, min values: 9.5529e-07, max values: 38.58, median values: 0.21835, and quantile values: 0.25 0.064138\n0.50 0.218350\n0.75 0.809950\nName: 3913, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4811367875352204, std values: 4.941324912758311, min values: 2.2265e-06, max values: 39.362, median values: 0.26802, and quantile values: 0.25 0.063070\n0.50 0.268020\n0.75 0.898515\nName: 3914, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7330249010037737, std values: 5.2071322420801955, min values: 2.5765e-06, max values: 41.777, median values: 0.28408, and quantile values: 0.25 0.081061\n0.50 0.284080\n0.75 1.204150\nName: 3915, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6117971504257862, std values: 4.907817734598051, min values: 2.8396e-06, max values: 39.248, median values: 0.2686, and quantile values: 0.25 0.072907\n0.50 0.268600\n0.75 1.040050\nName: 3916, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2758257198129557, std values: 4.6717865441300415, min values: 7.6896e-07, max values: 38.3, median values: 0.16221, and quantile values: 0.25 0.056701\n0.50 0.162210\n0.75 0.677945\nName: 3917, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5192747869098742, std values: 4.944642696041598, min values: 5.9397e-07, max values: 41.137, median values: 0.24573, and quantile values: 0.25 0.066126\n0.50 0.245730\n0.75 0.948920\nName: 3918, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.507009555463522, std values: 5.056489395174461, min values: 2.9225e-06, max values: 40.408, median values: 0.23326, and quantile values: 0.25 0.071070\n0.50 0.233260\n0.75 0.900765\nName: 3919, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2548120135150942, std values: 4.593749934183744, min values: 2.875e-06, max values: 40.01, median values: 0.16867, and quantile values: 0.25 0.04859\n0.50 0.16867\n0.75 0.65078\nName: 3920, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.495437187946541, std values: 5.1047756792896495, min values: 3.3168e-06, max values: 41.816, median values: 0.2117, and quantile values: 0.25 0.067816\n0.50 0.211700\n0.75 0.827545\nName: 3921, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4773800164874213, std values: 4.831230985757815, min values: 1.3189e-06, max values: 38.663, median values: 0.19858, and quantile values: 0.25 0.059872\n0.50 0.198580\n0.75 0.913580\nName: 3922, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5170831115106915, std values: 4.817312777189776, min values: 1.2035e-06, max values: 38.628, median values: 0.22661, and quantile values: 0.25 0.065469\n0.50 0.226610\n0.75 0.949910\nName: 3923, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.547801508781761, std values: 5.101917196205092, min values: 5.7082e-06, max values: 41.241, median values: 0.25052, and quantile values: 0.25 0.064891\n0.50 0.250520\n0.75 0.875685\nName: 3924, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4927937728138365, std values: 4.842681236678872, min values: 4.0418e-06, max values: 40.195, median values: 0.20321, and quantile values: 0.25 0.066286\n0.50 0.203210\n0.75 0.912705\nName: 3925, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.302878513496478, std values: 4.781222984188503, min values: 3.0483e-07, max values: 39.558, median values: 0.16851, and quantile values: 0.25 0.047167\n0.50 0.168510\n0.75 0.724805\nName: 3926, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6796407774132074, std values: 5.100952485306446, min values: 3.32e-06, max values: 40.45, median values: 0.28508, and quantile values: 0.25 0.088774\n0.50 0.285080\n0.75 1.080350\nName: 3927, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.664687943238679, std values: 5.231559088723868, min values: 2.1515e-07, max values: 45.62, median values: 0.25354, and quantile values: 0.25 0.067073\n0.50 0.253540\n0.75 1.067580\nName: 3928, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3623484152060312, std values: 4.87485923357055, min values: 8.3959e-08, max values: 41.068, median values: 0.17766, and quantile values: 0.25 0.051671\n0.50 0.177660\n0.75 0.720810\nName: 3929, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3903846005867924, std values: 4.723699887302685, min values: 1.5603e-06, max values: 38.994, median values: 0.19262, and quantile values: 0.25 0.063223\n0.50 0.192620\n0.75 0.802475\nName: 3930, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.548605985246541, std values: 5.029174738116585, min values: 2.7582e-06, max values: 40.006, median values: 0.2164, and quantile values: 0.25 0.068797\n0.50 0.216400\n0.75 0.962755\nName: 3931, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2697401294943396, std values: 4.513607658619294, min values: 1.3862e-07, max values: 37.341, median values: 0.18706, and quantile values: 0.25 0.043944\n0.50 0.187060\n0.75 0.687290\nName: 3932, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3224322435220126, std values: 4.80314231698338, min values: 1.3157e-06, max values: 39.152, median values: 0.17338, and quantile values: 0.25 0.057622\n0.50 0.173380\n0.75 0.777715\nName: 3933, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.565467680671698, std values: 4.844879858397495, min values: 1.5689e-06, max values: 39.096, median values: 0.24388, and quantile values: 0.25 0.070747\n0.50 0.243880\n0.75 1.028200\nName: 3934, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5410588347989935, std values: 5.009670840716139, min values: 4.1474e-07, max values: 41.565, median values: 0.2475, and quantile values: 0.25 0.062626\n0.50 0.247500\n0.75 0.962420\nName: 3935, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8954973651779872, std values: 5.300905983337945, min values: 3.5562e-06, max values: 41.606, median values: 0.34932, and quantile values: 0.25 0.095966\n0.50 0.349320\n0.75 1.318150\nName: 3936, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4570359846157233, std values: 5.359071356397627, min values: 2.4901e-06, max values: 47.077, median values: 0.2065, and quantile values: 0.25 0.060138\n0.50 0.206500\n0.75 0.741440\nName: 3937, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4003670870661635, std values: 4.701824359259855, min values: 6.8202e-07, max values: 37.107, median values: 0.19679, and quantile values: 0.25 0.057653\n0.50 0.196790\n0.75 0.862295\nName: 3938, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3294709612654088, std values: 4.765219637805265, min values: 1.8718e-06, max values: 40.028, median values: 0.17537, and quantile values: 0.25 0.050513\n0.50 0.175370\n0.75 0.721785\nName: 3939, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4485205583421383, std values: 4.588453917009728, min values: 1.4676e-06, max values: 38.437, median values: 0.20915, and quantile values: 0.25 0.060294\n0.50 0.209150\n0.75 0.843205\nName: 3940, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2698985131220126, std values: 4.625210496596967, min values: 1.157e-06, max values: 37.828, median values: 0.17075, and quantile values: 0.25 0.056712\n0.50 0.170750\n0.75 0.649975\nName: 3941, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6067443736597484, std values: 4.932437741127574, min values: 1.6684e-06, max values: 39.256, median values: 0.24478, and quantile values: 0.25 0.068029\n0.50 0.244780\n0.75 1.107800\nName: 3942, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.515943518358805, std values: 4.902996131604976, min values: 6.7895e-07, max values: 39.537, median values: 0.22954, and quantile values: 0.25 0.061745\n0.50 0.229540\n0.75 0.951660\nName: 3943, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.387472140484277, std values: 5.085963583309447, min values: 4.3071e-06, max values: 41.942, median values: 0.20076, and quantile values: 0.25 0.052760\n0.50 0.200760\n0.75 0.675305\nName: 3944, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.20541692663717, std values: 4.5569319755179984, min values: 4.9981e-07, max values: 37.343, median values: 0.16568, and quantile values: 0.25 0.049158\n0.50 0.165680\n0.75 0.624420\nName: 3945, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4393433822, std values: 4.9206384726412855, min values: 2.7274e-06, max values: 39.63, median values: 0.21767, and quantile values: 0.25 0.062238\n0.50 0.217670\n0.75 0.846050\nName: 3946, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3324438480991194, std values: 4.58900414890411, min values: 7.0876e-07, max values: 38.976, median values: 0.17721, and quantile values: 0.25 0.055163\n0.50 0.177210\n0.75 0.817965\nName: 3947, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6606733897169812, std values: 5.207425083960193, min values: 1.0413e-06, max values: 44.027, median values: 0.27846, and quantile values: 0.25 0.072394\n0.50 0.278460\n0.75 1.068700\nName: 3948, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3908124441459118, std values: 4.8857054762309255, min values: 1.8405e-06, max values: 39.324, median values: 0.22519, and quantile values: 0.25 0.061537\n0.50 0.225190\n0.75 0.861685\nName: 3949, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5911294837943397, std values: 4.872921193111246, min values: 1.8467e-06, max values: 39.536, median values: 0.2395, and quantile values: 0.25 0.067743\n0.50 0.239500\n0.75 1.064400\nName: 3950, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5557481144999998, std values: 5.042261581613175, min values: 1.0788e-06, max values: 41.577, median values: 0.25185, and quantile values: 0.25 0.06512\n0.50 0.25185\n0.75 1.02290\nName: 3951, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3216782067056605, std values: 4.754782778944674, min values: 1.7179e-06, max values: 38.963, median values: 0.19835, and quantile values: 0.25 0.057452\n0.50 0.198350\n0.75 0.759860\nName: 3952, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.415482724818239, std values: 4.940946738579847, min values: 1.2506e-06, max values: 41.155, median values: 0.2021, and quantile values: 0.25 0.06610\n0.50 0.20210\n0.75 0.75281\nName: 3953, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.406854360283585, std values: 4.718158137009881, min values: 4.0319e-07, max values: 37.848, median values: 0.21399, and quantile values: 0.25 0.061834\n0.50 0.213990\n0.75 0.863430\nName: 3954, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3444427700748427, std values: 5.032012245018553, min values: 2.9818e-06, max values: 40.803, median values: 0.18403, and quantile values: 0.25 0.054983\n0.50 0.184030\n0.75 0.649715\nName: 3955, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4521064448710692, std values: 4.957023378007178, min values: 2.4243e-06, max values: 39.557, median values: 0.20143, and quantile values: 0.25 0.061705\n0.50 0.201430\n0.75 0.851335\nName: 3956, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3879943997775472, std values: 4.942469530067176, min values: 9.1503e-07, max values: 41.393, median values: 0.18809, and quantile values: 0.25 0.059579\n0.50 0.188090\n0.75 0.821165\nName: 3957, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8598894011303773, std values: 5.544122520103344, min values: 1.5713e-07, max values: 49.268, median values: 0.29617, and quantile values: 0.25 0.069265\n0.50 0.296170\n0.75 1.307050\nName: 3958, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4457605987639621, std values: 4.812747766443504, min values: 7.4917e-07, max values: 38.505, median values: 0.21434, and quantile values: 0.25 0.055840\n0.50 0.214340\n0.75 0.875165\nName: 3959, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3309279562301068, std values: 4.860170602169098, min values: 9.9187e-08, max values: 39.586, median values: 0.16632, and quantile values: 0.25 0.041174\n0.50 0.166320\n0.75 0.726995\nName: 3960, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5925813515415095, std values: 5.278618334543707, min values: 3.3747e-06, max values: 44.85, median values: 0.24089, and quantile values: 0.25 0.070583\n0.50 0.240890\n0.75 0.976795\nName: 3961, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4905193594553463, std values: 4.909236392426473, min values: 2.211e-06, max values: 40.127, median values: 0.26486, and quantile values: 0.25 0.067143\n0.50 0.264860\n0.75 0.880980\nName: 3962, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.673490841727673, std values: 5.3170655160694675, min values: 4.8027e-06, max values: 42.91, median values: 0.28932, and quantile values: 0.25 0.085314\n0.50 0.289320\n0.75 0.992695\nName: 3963, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6053587738140254, std values: 5.029293230639259, min values: 7.1803e-07, max values: 41.178, median values: 0.24746, and quantile values: 0.25 0.07026\n0.50 0.24746\n0.75 1.08150\nName: 3964, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4003351035698115, std values: 4.8954030018303945, min values: 1.8493e-06, max values: 39.752, median values: 0.20879, and quantile values: 0.25 0.063258\n0.50 0.208790\n0.75 0.788075\nName: 3965, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1218006710704402, std values: 4.463667573122021, min values: 1.6638e-06, max values: 39.54, median values: 0.14873, and quantile values: 0.25 0.044930\n0.50 0.148730\n0.75 0.564765\nName: 3966, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.472821279364151, std values: 4.984708396131894, min values: 1.0147e-06, max values: 41.105, median values: 0.20666, and quantile values: 0.25 0.056341\n0.50 0.206660\n0.75 0.884860\nName: 3967, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.589830600781258, std values: 5.00366970801489, min values: 4.5492e-07, max values: 40.783, median values: 0.25873, and quantile values: 0.25 0.065246\n0.50 0.258730\n0.75 1.030365\nName: 3968, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3757386689389937, std values: 4.938839066807207, min values: 3.7091e-06, max values: 40.313, median values: 0.19, and quantile values: 0.25 0.057224\n0.50 0.190000\n0.75 0.720495\nName: 3969, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5455340423421382, std values: 4.924602277243265, min values: 1.3721e-06, max values: 38.819, median values: 0.2716, and quantile values: 0.25 0.068749\n0.50 0.271600\n0.75 0.967540\nName: 3970, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5584906556830818, std values: 4.753129755400165, min values: 7.7331e-07, max values: 37.252, median values: 0.25898, and quantile values: 0.25 0.072974\n0.50 0.258980\n0.75 1.034200\nName: 3971, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.685357491245283, std values: 4.89984540420565, min values: 2.7233e-06, max values: 39.792, median values: 0.27621, and quantile values: 0.25 0.067668\n0.50 0.276210\n0.75 1.156550\nName: 3972, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5188285869355598, std values: 5.061122234613095, min values: 5.5344e-08, max values: 43.916, median values: 0.19459, and quantile values: 0.25 0.047768\n0.50 0.194590\n0.75 0.890350\nName: 3973, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.756278629347673, std values: 5.110966801816342, min values: 9.4148e-07, max values: 40.962, median values: 0.30971, and quantile values: 0.25 0.080004\n0.50 0.309710\n0.75 1.202900\nName: 3974, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4255740221126414, std values: 4.7065819020310045, min values: 1.1001e-07, max values: 37.402, median values: 0.19164, and quantile values: 0.25 0.047863\n0.50 0.191640\n0.75 0.818305\nName: 3975, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4152678509520753, std values: 4.847535490811645, min values: 4.3848e-07, max values: 39.983, median values: 0.19541, and quantile values: 0.25 0.051048\n0.50 0.195410\n0.75 0.740975\nName: 3976, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4770170204399058, std values: 5.0767812102543415, min values: 8.9915e-08, max values: 44.916, median values: 0.20777, and quantile values: 0.25 0.046658\n0.50 0.207770\n0.75 0.792360\nName: 3977, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2920697701240251, std values: 4.697546720489457, min values: 6.0572e-07, max values: 38.314, median values: 0.18806, and quantile values: 0.25 0.049651\n0.50 0.188060\n0.75 0.691565\nName: 3978, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7154849893169812, std values: 5.209601684131141, min values: 2.5229e-06, max values: 42.401, median values: 0.28789, and quantile values: 0.25 0.071411\n0.50 0.287890\n0.75 1.149600\nName: 3979, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4816790981792454, std values: 4.84077835384412, min values: 2.2367e-06, max values: 39.638, median values: 0.22767, and quantile values: 0.25 0.067854\n0.50 0.227670\n0.75 0.908250\nName: 3980, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3428930296274844, std values: 4.880740830122028, min values: 6.8507e-07, max values: 40.474, median values: 0.20069, and quantile values: 0.25 0.050464\n0.50 0.200690\n0.75 0.744035\nName: 3981, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3480391556685534, std values: 4.6331328892594295, min values: 1.2255e-06, max values: 38.62, median values: 0.21863, and quantile values: 0.25 0.055599\n0.50 0.218630\n0.75 0.767025\nName: 3982, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5713397444125785, std values: 4.885907780506343, min values: 3.1584e-06, max values: 39.501, median values: 0.27222, and quantile values: 0.25 0.071612\n0.50 0.272220\n0.75 0.973410\nName: 3983, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5556744971654088, std values: 5.0085444102522985, min values: 2.8553e-06, max values: 40.644, median values: 0.22647, and quantile values: 0.25 0.066502\n0.50 0.226470\n0.75 0.951930\nName: 3984, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3926260701666666, std values: 4.669144789800633, min values: 1.8054e-06, max values: 39.362, median values: 0.1943, and quantile values: 0.25 0.056573\n0.50 0.194300\n0.75 0.836240\nName: 3985, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6104464103490566, std values: 5.2513990382842985, min values: 4.1877e-06, max values: 42.957, median values: 0.25815, and quantile values: 0.25 0.080511\n0.50 0.258150\n0.75 0.909235\nName: 3986, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3595809773832075, std values: 4.835264959821233, min values: 2.2483e-07, max values: 39.759, median values: 0.18925, and quantile values: 0.25 0.053543\n0.50 0.189250\n0.75 0.749545\nName: 3987, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3806729473707546, std values: 4.724959952745895, min values: 6.8925e-07, max values: 37.588, median values: 0.20855, and quantile values: 0.25 0.065137\n0.50 0.208550\n0.75 0.805230\nName: 3988, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3976193131983647, std values: 4.873009056192967, min values: 4.3424e-07, max values: 40.21, median values: 0.21665, and quantile values: 0.25 0.055105\n0.50 0.216650\n0.75 0.822095\nName: 3989, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4215396183501952, std values: 4.863728723907193, min values: 1.5881e-08, max values: 40.143, median values: 0.19735, and quantile values: 0.25 0.052078\n0.50 0.197350\n0.75 0.854375\nName: 3990, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3716144159440251, std values: 4.981572261331751, min values: 2.1093e-06, max values: 40.967, median values: 0.19042, and quantile values: 0.25 0.057869\n0.50 0.190420\n0.75 0.781870\nName: 3991, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3003720753150312, std values: 4.896832902599608, min values: 9.6899e-07, max values: 40.691, median values: 0.20411, and quantile values: 0.25 0.056785\n0.50 0.204110\n0.75 0.673300\nName: 3992, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2370112631556416, std values: 4.575276648145693, min values: 6.1127e-08, max values: 36.633, median values: 0.13796, and quantile values: 0.25 0.039584\n0.50 0.137960\n0.75 0.604260\nName: 3993, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3494689570994338, std values: 4.68099180303157, min values: 6.7871e-07, max values: 37.604, median values: 0.1894, and quantile values: 0.25 0.056224\n0.50 0.189400\n0.75 0.762560\nName: 3994, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5746460653817609, std values: 5.267693209947398, min values: 2.6385e-06, max values: 43.903, median values: 0.24454, and quantile values: 0.25 0.070354\n0.50 0.244540\n0.75 0.911865\nName: 3995, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4171781577647797, std values: 4.8593688351219155, min values: 1.4612e-06, max values: 39.524, median values: 0.21331, and quantile values: 0.25 0.063125\n0.50 0.213310\n0.75 0.839685\nName: 3996, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5606413016572327, std values: 4.9063773720892065, min values: 1.378e-06, max values: 39.187, median values: 0.23836, and quantile values: 0.25 0.067347\n0.50 0.238360\n0.75 1.040800\nName: 3997, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4593074477162267, std values: 4.900418195652173, min values: 1.1955e-07, max values: 41.281, median values: 0.21349, and quantile values: 0.25 0.054929\n0.50 0.213490\n0.75 0.868385\nName: 3998, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.455754770523648, std values: 4.8852863366908, min values: 2.4846e-07, max values: 40.08, median values: 0.19698, and quantile values: 0.25 0.053583\n0.50 0.196980\n0.75 0.799415\nName: 3999, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5601000945685535, std values: 5.001371502291164, min values: 2.8957e-06, max values: 39.982, median values: 0.26307, and quantile values: 0.25 0.072422\n0.50 0.263070\n0.75 0.972130\nName: 4000, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2736917533567298, std values: 4.647861221303346, min values: 5.8662e-07, max values: 37.591, median values: 0.16346, and quantile values: 0.25 0.053996\n0.50 0.163460\n0.75 0.661160\nName: 4001, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7266483490886795, std values: 5.186301200423867, min values: 5.2117e-06, max values: 40.776, median values: 0.30479, and quantile values: 0.25 0.088672\n0.50 0.304790\n0.75 1.032550\nName: 4002, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.310664086028302, std values: 4.699245741823771, min values: 1.0921e-06, max values: 37.973, median values: 0.18813, and quantile values: 0.25 0.05692\n0.50 0.18813\n0.75 0.72777\nName: 4003, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4908999575340252, std values: 4.971804135090847, min values: 8.851e-08, max values: 41.489, median values: 0.19937, and quantile values: 0.25 0.058639\n0.50 0.199370\n0.75 0.932015\nName: 4004, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4129350310532074, std values: 4.691619912067874, min values: 8.2956e-07, max values: 37.693, median values: 0.2046, and quantile values: 0.25 0.065619\n0.50 0.204600\n0.75 0.830575\nName: 4005, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5081296187242705, std values: 4.84518953332757, min values: 1.5759e-08, max values: 38.587, median values: 0.21192, and quantile values: 0.25 0.056629\n0.50 0.211920\n0.75 1.015460\nName: 4006, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2842643908037734, std values: 4.661437571009572, min values: 3.384e-07, max values: 37.578, median values: 0.1517, and quantile values: 0.25 0.044975\n0.50 0.151700\n0.75 0.675265\nName: 4007, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3614405820827673, std values: 4.746038404854026, min values: 6.1756e-07, max values: 38.043, median values: 0.18244, and quantile values: 0.25 0.052988\n0.50 0.182440\n0.75 0.833955\nName: 4008, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4346189227449686, std values: 4.9107523429355195, min values: 2.4845e-07, max values: 41.28, median values: 0.22675, and quantile values: 0.25 0.055005\n0.50 0.226750\n0.75 0.879520\nName: 4009, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.466972943399371, std values: 4.895206405299337, min values: 5.0389e-06, max values: 41.232, median values: 0.21322, and quantile values: 0.25 0.072906\n0.50 0.213220\n0.75 0.834220\nName: 4010, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6558262035352198, std values: 5.054537052562064, min values: 5.6016e-06, max values: 40.595, median values: 0.26723, and quantile values: 0.25 0.08380\n0.50 0.26723\n0.75 1.06570\nName: 4011, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.469115223132453, std values: 4.887237389982832, min values: 6.8666e-07, max values: 39.55, median values: 0.21495, and quantile values: 0.25 0.054142\n0.50 0.214950\n0.75 0.870460\nName: 4012, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.415849581918868, std values: 4.854059552431236, min values: 1.3691e-06, max values: 38.908, median values: 0.19994, and quantile values: 0.25 0.063729\n0.50 0.199940\n0.75 0.822785\nName: 4013, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3127532448987422, std values: 4.968194496725749, min values: 4.5108e-06, max values: 41.107, median values: 0.17949, and quantile values: 0.25 0.053910\n0.50 0.179490\n0.75 0.661375\nName: 4014, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5528710049735848, std values: 5.049231575019706, min values: 1.1103e-06, max values: 42.409, median values: 0.19638, and quantile values: 0.25 0.056913\n0.50 0.196380\n0.75 0.953430\nName: 4015, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4584716258337107, std values: 4.853559138866409, min values: 2.6936e-07, max values: 39.092, median values: 0.21002, and quantile values: 0.25 0.061974\n0.50 0.210020\n0.75 0.902895\nName: 4016, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4528172908181132, std values: 4.898048969349211, min values: 6.8188e-07, max values: 39.998, median values: 0.19345, and quantile values: 0.25 0.052405\n0.50 0.193450\n0.75 0.876220\nName: 4017, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6007791594236478, std values: 4.916449830286093, min values: 2.2216e-07, max values: 39.568, median values: 0.25766, and quantile values: 0.25 0.066839\n0.50 0.257660\n0.75 1.098000\nName: 4018, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6451886964541511, std values: 5.052545081278276, min values: 7.4361e-07, max values: 41.001, median values: 0.25614, and quantile values: 0.25 0.066078\n0.50 0.256140\n0.75 1.119500\nName: 4019, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7582686781132075, std values: 5.355283996816957, min values: 4.5283e-06, max values: 43.51, median values: 0.28965, and quantile values: 0.25 0.08204\n0.50 0.28965\n0.75 1.10225\nName: 4020, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.736325153758491, std values: 5.023288080171047, min values: 1.1123e-06, max values: 39.01, median values: 0.30796, and quantile values: 0.25 0.082389\n0.50 0.307960\n0.75 1.215450\nName: 4021, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4990259851113834, std values: 4.872839688431919, min values: 2.2421e-07, max values: 39.71, median values: 0.22568, and quantile values: 0.25 0.064191\n0.50 0.225680\n0.75 0.952095\nName: 4022, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5368847450233334, std values: 4.874800707976265, min values: 8.4751e-07, max values: 38.854, median values: 0.27189, and quantile values: 0.25 0.074373\n0.50 0.271890\n0.75 0.994905\nName: 4023, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5132737734754715, std values: 4.9050534987321, min values: 1.4674e-06, max values: 39.262, median values: 0.23818, and quantile values: 0.25 0.069826\n0.50 0.238180\n0.75 0.967525\nName: 4024, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.584321266645912, std values: 4.923707055104128, min values: 3.5913e-06, max values: 38.971, median values: 0.26596, and quantile values: 0.25 0.075681\n0.50 0.265960\n0.75 1.025550\nName: 4025, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7909499867327043, std values: 5.194861390835655, min values: 1.7189e-06, max values: 41.126, median values: 0.29494, and quantile values: 0.25 0.083532\n0.50 0.294940\n0.75 1.284900\nName: 4026, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.585570296536478, std values: 4.935096518058861, min values: 3.4411e-06, max values: 39.75, median values: 0.26398, and quantile values: 0.25 0.079777\n0.50 0.263980\n0.75 0.974995\nName: 4027, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5205985803786164, std values: 5.072168229608767, min values: 1.4753e-06, max values: 42.147, median values: 0.25163, and quantile values: 0.25 0.070239\n0.50 0.251630\n0.75 0.955120\nName: 4028, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6712566656830188, std values: 5.196078582905359, min values: 2.6677e-06, max values: 42.191, median values: 0.30475, and quantile values: 0.25 0.079943\n0.50 0.304750\n0.75 1.055650\nName: 4029, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5705654359805032, std values: 4.803037904728598, min values: 2.8375e-06, max values: 39.485, median values: 0.25029, and quantile values: 0.25 0.072247\n0.50 0.250290\n0.75 1.048100\nName: 4030, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7545772175339622, std values: 5.053191010256674, min values: 1.5106e-06, max values: 39.489, median values: 0.32047, and quantile values: 0.25 0.091576\n0.50 0.320470\n0.75 1.244100\nName: 4031, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4754455653896854, std values: 4.75161198744401, min values: 7.6226e-07, max values: 37.673, median values: 0.26692, and quantile values: 0.25 0.066008\n0.50 0.266920\n0.75 0.945055\nName: 4032, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3897999725373587, std values: 4.965759318070126, min values: 4.0864e-07, max values: 41.595, median values: 0.18945, and quantile values: 0.25 0.051876\n0.50 0.189450\n0.75 0.750930\nName: 4033, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4752492813855347, std values: 4.777007376054966, min values: 1.0439e-06, max values: 38.435, median values: 0.21534, and quantile values: 0.25 0.063516\n0.50 0.215340\n0.75 0.900850\nName: 4034, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3751744716522012, std values: 4.973527856239403, min values: 2.1315e-06, max values: 40.214, median values: 0.20784, and quantile values: 0.25 0.05380\n0.50 0.20784\n0.75 0.75939\nName: 4035, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.597006723732893, std values: 5.004182481437792, min values: 7.2123e-07, max values: 41.307, median values: 0.28157, and quantile values: 0.25 0.073932\n0.50 0.281570\n0.75 1.035850\nName: 4036, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.445395542537736, std values: 4.935762332019716, min values: 1.5761e-06, max values: 40.061, median values: 0.225, and quantile values: 0.25 0.063287\n0.50 0.225000\n0.75 0.874360\nName: 4037, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2439508540654718, std values: 4.760141896033087, min values: 3.6351e-07, max values: 38.728, median values: 0.14676, and quantile values: 0.25 0.046884\n0.50 0.146760\n0.75 0.639625\nName: 4038, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3856027966547169, std values: 4.762078627032715, min values: 1.0965e-06, max values: 38.263, median values: 0.17067, and quantile values: 0.25 0.052225\n0.50 0.170670\n0.75 0.806680\nName: 4039, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.314222860190566, std values: 4.96769575332965, min values: 2.1171e-06, max values: 41.408, median values: 0.18389, and quantile values: 0.25 0.058513\n0.50 0.183890\n0.75 0.658890\nName: 4040, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3995588457308175, std values: 4.7257293178697575, min values: 2.5745e-06, max values: 39.758, median values: 0.20631, and quantile values: 0.25 0.057883\n0.50 0.206310\n0.75 0.755875\nName: 4041, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3295954384722644, std values: 4.653090424736278, min values: 6.1899e-07, max values: 37.394, median values: 0.19659, and quantile values: 0.25 0.058458\n0.50 0.196590\n0.75 0.785225\nName: 4042, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4872155749656604, std values: 4.867998761967151, min values: 8.6514e-07, max values: 38.709, median values: 0.2132, and quantile values: 0.25 0.065873\n0.50 0.213200\n0.75 0.948025\nName: 4043, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6854383427790567, std values: 5.238325536652722, min values: 2.7447e-07, max values: 45.701, median values: 0.26441, and quantile values: 0.25 0.063728\n0.50 0.264410\n0.75 1.008825\nName: 4044, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5934567509333333, std values: 5.123266459778213, min values: 2.3285e-06, max values: 42.324, median values: 0.27313, and quantile values: 0.25 0.071819\n0.50 0.273130\n0.75 1.042250\nName: 4045, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5138166362089684, std values: 4.943369239390905, min values: 1.8526e-08, max values: 41.972, median values: 0.2019, and quantile values: 0.25 0.047094\n0.50 0.201900\n0.75 0.870470\nName: 4046, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4263852797238366, std values: 4.862413076108158, min values: 4.2169e-07, max values: 39.749, median values: 0.22801, and quantile values: 0.25 0.05811\n0.50 0.22801\n0.75 0.85303\nName: 4047, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7135485700830189, std values: 5.122059907295192, min values: 4.6334e-06, max values: 39.873, median values: 0.29013, and quantile values: 0.25 0.088816\n0.50 0.290130\n0.75 1.094500\nName: 4048, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.325457145235849, std values: 4.742791716302346, min values: 1.5182e-06, max values: 39.358, median values: 0.18954, and quantile values: 0.25 0.055463\n0.50 0.189540\n0.75 0.733435\nName: 4049, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.516228834127044, std values: 4.952168628906331, min values: 1.3167e-06, max values: 39.62, median values: 0.18408, and quantile values: 0.25 0.055703\n0.50 0.184080\n0.75 0.856605\nName: 4050, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.54490973156761, std values: 4.858597523518376, min values: 5.6045e-07, max values: 38.584, median values: 0.23153, and quantile values: 0.25 0.060797\n0.50 0.231530\n0.75 1.011690\nName: 4051, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4167053715663083, std values: 4.78477941469108, min values: 3.0356e-08, max values: 39.786, median values: 0.1851, and quantile values: 0.25 0.042318\n0.50 0.185100\n0.75 0.789225\nName: 4052, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2835148793098745, std values: 4.702787135109929, min values: 6.307e-08, max values: 37.892, median values: 0.16105, and quantile values: 0.25 0.05104\n0.50 0.16105\n0.75 0.69743\nName: 4053, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4674991960767294, std values: 4.932826025145353, min values: 2.894e-06, max values: 40.266, median values: 0.23354, and quantile values: 0.25 0.060982\n0.50 0.233540\n0.75 0.835710\nName: 4054, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4708154296798743, std values: 4.930956183866903, min values: 2.2583e-06, max values: 39.333, median values: 0.23047, and quantile values: 0.25 0.064664\n0.50 0.230470\n0.75 0.956525\nName: 4055, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6061497381228929, std values: 4.913291720793518, min values: 8.0964e-07, max values: 38.645, median values: 0.25144, and quantile values: 0.25 0.06988\n0.50 0.25144\n0.75 1.10420\nName: 4056, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.625390891618868, std values: 5.053485588683031, min values: 6.3145e-06, max values: 40.469, median values: 0.27658, and quantile values: 0.25 0.07330\n0.50 0.27658\n0.75 0.93235\nName: 4057, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5455099953421385, std values: 5.058223628230031, min values: 3.9032e-06, max values: 40.115, median values: 0.24633, and quantile values: 0.25 0.067883\n0.50 0.246330\n0.75 0.863250\nName: 4058, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.642371619739622, std values: 5.149908144641742, min values: 4.1804e-06, max values: 40.547, median values: 0.26939, and quantile values: 0.25 0.078835\n0.50 0.269390\n0.75 0.976935\nName: 4059, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8004516416308176, std values: 5.167673379716134, min values: 1.5491e-06, max values: 40.689, median values: 0.30379, and quantile values: 0.25 0.08389\n0.50 0.30379\n0.75 1.25675\nName: 4060, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.261156443637044, std values: 4.792409051517542, min values: 1.819e-08, max values: 39.434, median values: 0.15619, and quantile values: 0.25 0.039467\n0.50 0.156190\n0.75 0.653715\nName: 4061, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5596184853827044, std values: 5.024603233991958, min values: 1.8855e-07, max values: 42.413, median values: 0.23693, and quantile values: 0.25 0.064217\n0.50 0.236930\n0.75 1.001435\nName: 4062, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.402151263422767, std values: 4.774878746030044, min values: 3.1787e-07, max values: 38.083, median values: 0.16726, and quantile values: 0.25 0.047546\n0.50 0.167260\n0.75 0.773280\nName: 4063, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5582574350301888, std values: 5.008421747875085, min values: 2.8307e-06, max values: 39.826, median values: 0.25422, and quantile values: 0.25 0.079924\n0.50 0.254220\n0.75 0.967815\nName: 4064, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5507694935014467, std values: 4.942169473485283, min values: 9.0603e-07, max values: 39.521, median values: 0.29065, and quantile values: 0.25 0.069408\n0.50 0.290650\n0.75 0.932985\nName: 4065, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5510182352327044, std values: 5.134469383972388, min values: 1.0637e-06, max values: 43.481, median values: 0.22085, and quantile values: 0.25 0.063717\n0.50 0.220850\n0.75 0.869280\nName: 4066, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.66333283693522, std values: 5.226199527108397, min values: 3.8891e-06, max values: 42.377, median values: 0.27135, and quantile values: 0.25 0.080516\n0.50 0.271350\n0.75 1.034950\nName: 4067, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5172562570566037, std values: 4.7466762490003545, min values: 1.7696e-06, max values: 38.259, median values: 0.23778, and quantile values: 0.25 0.070434\n0.50 0.237780\n0.75 0.911825\nName: 4068, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6014162275454085, std values: 5.090495321630981, min values: 2.5902e-07, max values: 42.627, median values: 0.25411, and quantile values: 0.25 0.067348\n0.50 0.254110\n0.75 1.073500\nName: 4069, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7800461694037737, std values: 5.301076140181831, min values: 1.3806e-06, max values: 44.262, median values: 0.27464, and quantile values: 0.25 0.064511\n0.50 0.274640\n0.75 1.204450\nName: 4070, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3483473792619498, std values: 4.781838218862618, min values: 2.2834e-07, max values: 39.004, median values: 0.1863, and quantile values: 0.25 0.044403\n0.50 0.186300\n0.75 0.774060\nName: 4071, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3364633568943396, std values: 4.863091748924167, min values: 1.0907e-06, max values: 39.454, median values: 0.17802, and quantile values: 0.25 0.055341\n0.50 0.178020\n0.75 0.754305\nName: 4072, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3221850094276102, std values: 4.942151785358646, min values: 5.8419e-07, max values: 41.687, median values: 0.19535, and quantile values: 0.25 0.053889\n0.50 0.195350\n0.75 0.672470\nName: 4073, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.419773551981887, std values: 5.026088447417117, min values: 2.001e-07, max values: 44.165, median values: 0.2226, and quantile values: 0.25 0.045145\n0.50 0.222600\n0.75 0.779655\nName: 4074, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.580907731195346, std values: 5.171979614912701, min values: 9.0846e-07, max values: 43.094, median values: 0.22255, and quantile values: 0.25 0.061826\n0.50 0.222550\n0.75 0.933250\nName: 4075, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4083754952520127, std values: 4.736511282855567, min values: 2.1459e-07, max values: 38.182, median values: 0.213, and quantile values: 0.25 0.049701\n0.50 0.213000\n0.75 0.846195\nName: 4076, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.393667967729937, std values: 4.846322103879792, min values: 9.1116e-07, max values: 39.873, median values: 0.19179, and quantile values: 0.25 0.05569\n0.50 0.19179\n0.75 0.80263\nName: 4077, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4809349360685533, std values: 4.960281767392805, min values: 4.6147e-06, max values: 40.853, median values: 0.20436, and quantile values: 0.25 0.068006\n0.50 0.204360\n0.75 0.776850\nName: 4078, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5322759261939622, std values: 4.852877932151458, min values: 9.6904e-07, max values: 38.514, median values: 0.25956, and quantile values: 0.25 0.066997\n0.50 0.259560\n0.75 0.993700\nName: 4079, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6048691764075471, std values: 4.606952894791696, min values: 1.0879e-06, max values: 37.549, median values: 0.30254, and quantile values: 0.25 0.090769\n0.50 0.302540\n0.75 1.078850\nName: 4080, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4785573923113209, std values: 4.949216865459347, min values: 4.0347e-06, max values: 40.588, median values: 0.20305, and quantile values: 0.25 0.076594\n0.50 0.203050\n0.75 0.835165\nName: 4081, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6224504139635223, std values: 5.107066000075333, min values: 2.7386e-06, max values: 40.618, median values: 0.24443, and quantile values: 0.25 0.067844\n0.50 0.244430\n0.75 1.114950\nName: 4082, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3881304004419808, std values: 4.6062362325265624, min values: 2.8075e-08, max values: 36.421, median values: 0.21053, and quantile values: 0.25 0.048572\n0.50 0.210530\n0.75 0.789285\nName: 4083, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.436962515497673, std values: 4.783189802475714, min values: 5.0393e-07, max values: 37.931, median values: 0.1981, and quantile values: 0.25 0.066268\n0.50 0.198100\n0.75 0.863920\nName: 4084, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4077225994188682, std values: 4.8146852869649805, min values: 1.049e-06, max values: 38.37, median values: 0.20196, and quantile values: 0.25 0.058562\n0.50 0.201960\n0.75 0.802375\nName: 4085, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4239425018589937, std values: 4.980385372204722, min values: 6.1568e-07, max values: 41.125, median values: 0.19352, and quantile values: 0.25 0.050657\n0.50 0.193520\n0.75 0.803685\nName: 4086, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4277118184140878, std values: 4.8246658912869425, min values: 8.5604e-07, max values: 39.097, median values: 0.21453, and quantile values: 0.25 0.062959\n0.50 0.214530\n0.75 0.894210\nName: 4087, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.541181572171069, std values: 4.903555756726472, min values: 2.1926e-06, max values: 39.139, median values: 0.24304, and quantile values: 0.25 0.07601\n0.50 0.24304\n0.75 0.89678\nName: 4088, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5393291550515724, std values: 4.9726461400791315, min values: 2.9533e-06, max values: 39.705, median values: 0.22905, and quantile values: 0.25 0.070005\n0.50 0.229050\n0.75 1.012500\nName: 4089, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4731440322613838, std values: 5.013765147972764, min values: 1.3176e-07, max values: 42.648, median values: 0.18524, and quantile values: 0.25 0.049518\n0.50 0.185240\n0.75 0.841575\nName: 4090, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3672004201954089, std values: 4.862639182682359, min values: 1.295e-07, max values: 40.955, median values: 0.16063, and quantile values: 0.25 0.044681\n0.50 0.160630\n0.75 0.723435\nName: 4091, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6142460505647802, std values: 5.204253116523444, min values: 3.9397e-06, max values: 41.591, median values: 0.2475, and quantile values: 0.25 0.073214\n0.50 0.247500\n0.75 0.982600\nName: 4092, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3555216873245346, std values: 4.912217355421482, min values: 1.7744e-08, max values: 42.729, median values: 0.15869, and quantile values: 0.25 0.035395\n0.50 0.158690\n0.75 0.645535\nName: 4093, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2799758865572328, std values: 4.771229289388853, min values: 3.1677e-06, max values: 40.222, median values: 0.17448, and quantile values: 0.25 0.055183\n0.50 0.174480\n0.75 0.589915\nName: 4094, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3125202869685533, std values: 4.764300669230588, min values: 1.8976e-06, max values: 38.077, median values: 0.16796, and quantile values: 0.25 0.053236\n0.50 0.167960\n0.75 0.675880\nName: 4095, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.579957218223522, std values: 4.899029861394084, min values: 6.9624e-07, max values: 39.281, median values: 0.2562, and quantile values: 0.25 0.069408\n0.50 0.256200\n0.75 1.013200\nName: 4096, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6138134108698112, std values: 5.115448222217214, min values: 2.519e-07, max values: 43.017, median values: 0.25223, and quantile values: 0.25 0.060396\n0.50 0.252230\n0.75 1.075200\nName: 4097, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5870425924528304, std values: 4.959002208276967, min values: 1.2309e-06, max values: 40.171, median values: 0.27616, and quantile values: 0.25 0.06874\n0.50 0.27616\n0.75 1.07965\nName: 4098, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6034914068998114, std values: 5.101073209147542, min values: 7.7097e-07, max values: 42.521, median values: 0.26759, and quantile values: 0.25 0.069223\n0.50 0.267590\n0.75 1.090850\nName: 4099, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4425385901165408, std values: 4.80287648034463, min values: 9.3163e-07, max values: 38.02, median values: 0.22009, and quantile values: 0.25 0.063087\n0.50 0.220090\n0.75 0.876610\nName: 4100, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4077919991402517, std values: 5.033186422693295, min values: 1.4809e-06, max values: 42.182, median values: 0.18909, and quantile values: 0.25 0.053331\n0.50 0.189090\n0.75 0.813010\nName: 4101, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8064253011194968, std values: 5.136707551892537, min values: 3.1954e-06, max values: 39.753, median values: 0.31536, and quantile values: 0.25 0.09070\n0.50 0.31536\n0.75 1.26655\nName: 4102, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3530946818849183, std values: 4.748742287458776, min values: 1.6002e-08, max values: 38.056, median values: 0.18568, and quantile values: 0.25 0.050609\n0.50 0.185680\n0.75 0.804740\nName: 4103, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5093407176886795, std values: 4.860573557075157, min values: 1.4421e-06, max values: 38.701, median values: 0.265, and quantile values: 0.25 0.068141\n0.50 0.265000\n0.75 0.966100\nName: 4104, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4594572477532703, std values: 4.9956817296503475, min values: 7.2847e-07, max values: 41.636, median values: 0.23761, and quantile values: 0.25 0.062171\n0.50 0.237610\n0.75 0.786115\nName: 4105, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3955031437261638, std values: 4.911150629985422, min values: 6.3446e-07, max values: 40.487, median values: 0.17576, and quantile values: 0.25 0.054750\n0.50 0.175760\n0.75 0.832925\nName: 4106, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6925526393610064, std values: 4.858552106724574, min values: 2.7429e-06, max values: 38.778, median values: 0.32494, and quantile values: 0.25 0.083074\n0.50 0.324940\n0.75 1.181900\nName: 4107, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5129922536244653, std values: 4.769712950171616, min values: 5.8619e-07, max values: 37.625, median values: 0.25193, and quantile values: 0.25 0.065246\n0.50 0.251930\n0.75 0.994445\nName: 4108, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5811680447779874, std values: 5.130434809502178, min values: 0.0, max values: 42.447, median values: 0.2613, and quantile values: 0.25 0.065222\n0.50 0.261300\n0.75 1.006055\nName: 4109, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.653648810509434, std values: 5.10248575039052, min values: 1.0884e-06, max values: 41.714, median values: 0.24923, and quantile values: 0.25 0.070837\n0.50 0.249230\n0.75 1.088850\nName: 4110, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.602058057464151, std values: 4.97244379733829, min values: 1.4782e-06, max values: 39.128, median values: 0.2388, and quantile values: 0.25 0.068146\n0.50 0.238800\n0.75 1.056700\nName: 4111, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.696987953718239, std values: 5.045320561784507, min values: 3.9731e-06, max values: 40.44, median values: 0.31083, and quantile values: 0.25 0.078633\n0.50 0.310830\n0.75 1.118900\nName: 4112, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2609805269421381, std values: 4.7558657943203215, min values: 1.5957e-06, max values: 39.412, median values: 0.16672, and quantile values: 0.25 0.050869\n0.50 0.166720\n0.75 0.631910\nName: 4113, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7267911454974214, std values: 5.013308729143563, min values: 6.9269e-07, max values: 39.375, median values: 0.29756, and quantile values: 0.25 0.084465\n0.50 0.297560\n0.75 1.180800\nName: 4114, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6015012405684654, std values: 4.925993059955843, min values: 3.0226e-08, max values: 39.952, median values: 0.24787, and quantile values: 0.25 0.060892\n0.50 0.247870\n0.75 1.144150\nName: 4115, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.364185602137736, std values: 4.667288822712373, min values: 4.9736e-06, max values: 40.273, median values: 0.21263, and quantile values: 0.25 0.059978\n0.50 0.212630\n0.75 0.750510\nName: 4116, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.351764298154088, std values: 4.960592261147197, min values: 2.4552e-06, max values: 41.165, median values: 0.17841, and quantile values: 0.25 0.052547\n0.50 0.178410\n0.75 0.717000\nName: 4117, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5294503410308173, std values: 5.001784682517756, min values: 1.9713e-06, max values: 40.008, median values: 0.23126, and quantile values: 0.25 0.061677\n0.50 0.231260\n0.75 0.959030\nName: 4118, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5112516160396228, std values: 4.72204476149917, min values: 4.3311e-06, max values: 40.133, median values: 0.25466, and quantile values: 0.25 0.073475\n0.50 0.254660\n0.75 0.951080\nName: 4119, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6107092405698116, std values: 5.129548061364837, min values: 5.8745e-06, max values: 41.687, median values: 0.24666, and quantile values: 0.25 0.075391\n0.50 0.246660\n0.75 0.940935\nName: 4120, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5219295270830189, std values: 5.028145521073792, min values: 2.7303e-06, max values: 40.133, median values: 0.24821, and quantile values: 0.25 0.065731\n0.50 0.248210\n0.75 0.916285\nName: 4121, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4701068104446542, std values: 4.713264552226295, min values: 1.5199e-06, max values: 38.346, median values: 0.2422, and quantile values: 0.25 0.070075\n0.50 0.242200\n0.75 0.954260\nName: 4122, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4749187035408806, std values: 4.847592198559597, min values: 4.6305e-06, max values: 40.335, median values: 0.25773, and quantile values: 0.25 0.072071\n0.50 0.257730\n0.75 0.786115\nName: 4123, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4936993833672956, std values: 5.205725791725922, min values: 3.5067e-06, max values: 42.452, median values: 0.21223, and quantile values: 0.25 0.063587\n0.50 0.212230\n0.75 0.829655\nName: 4124, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4252740986674215, std values: 4.741958954116509, min values: 1.8712e-07, max values: 37.684, median values: 0.22273, and quantile values: 0.25 0.051638\n0.50 0.222730\n0.75 0.821255\nName: 4125, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5401685318037734, std values: 5.007505262339724, min values: 2.8023e-06, max values: 39.852, median values: 0.22772, and quantile values: 0.25 0.07079\n0.50 0.22772\n0.75 0.97428\nName: 4126, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4979422797603776, std values: 4.905219042780859, min values: 1.7758e-06, max values: 39.894, median values: 0.23153, and quantile values: 0.25 0.066473\n0.50 0.231530\n0.75 0.939980\nName: 4127, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4791124084779874, std values: 4.86397891459036, min values: 1.4496e-06, max values: 38.987, median values: 0.22658, and quantile values: 0.25 0.066888\n0.50 0.226580\n0.75 0.951750\nName: 4128, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3337532723167798, std values: 4.696491031469202, min values: 9.1988e-08, max values: 38.066, median values: 0.18931, and quantile values: 0.25 0.044866\n0.50 0.189310\n0.75 0.729895\nName: 4129, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.420102956115346, std values: 5.011718443940963, min values: 8.3084e-07, max values: 42.85, median values: 0.18537, and quantile values: 0.25 0.059300\n0.50 0.185370\n0.75 0.767595\nName: 4130, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3516010154779876, std values: 4.943904192289118, min values: 2.1553e-06, max values: 39.917, median values: 0.1993, and quantile values: 0.25 0.054831\n0.50 0.199300\n0.75 0.729555\nName: 4131, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3697696561440251, std values: 4.60836494973538, min values: 1.6858e-06, max values: 39.141, median values: 0.22014, and quantile values: 0.25 0.064339\n0.50 0.220140\n0.75 0.791260\nName: 4132, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4791905478402516, std values: 5.029109305561327, min values: 2.6876e-06, max values: 40.892, median values: 0.23618, and quantile values: 0.25 0.066400\n0.50 0.236180\n0.75 0.850665\nName: 4133, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.440565821619497, std values: 4.881111759224764, min values: 1.1229e-06, max values: 38.847, median values: 0.20163, and quantile values: 0.25 0.060976\n0.50 0.201630\n0.75 0.816440\nName: 4134, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3701592914975032, std values: 4.7092656281649665, min values: 2.6363e-08, max values: 38.155, median values: 0.17204, and quantile values: 0.25 0.039001\n0.50 0.172040\n0.75 0.666785\nName: 4135, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4966901540959747, std values: 5.045179598475018, min values: 3.8806e-07, max values: 42.696, median values: 0.20807, and quantile values: 0.25 0.057471\n0.50 0.208070\n0.75 0.930060\nName: 4136, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5619250189342768, std values: 4.909712456307835, min values: 7.0545e-07, max values: 38.835, median values: 0.26149, and quantile values: 0.25 0.065097\n0.50 0.261490\n0.75 0.962155\nName: 4137, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6367130106471697, std values: 5.155186012623617, min values: 3.3323e-06, max values: 40.799, median values: 0.24931, and quantile values: 0.25 0.067853\n0.50 0.249310\n0.75 1.010385\nName: 4138, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.500032616595956, std values: 5.0779860813704225, min values: 1.9557e-08, max values: 44.188, median values: 0.1838, and quantile values: 0.25 0.049672\n0.50 0.183800\n0.75 0.873955\nName: 4139, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7291706788333332, std values: 5.133500998227057, min values: 3.8846e-06, max values: 39.689, median values: 0.28616, and quantile values: 0.25 0.08898\n0.50 0.28616\n0.75 1.14035\nName: 4140, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3187414018880503, std values: 4.538956459132103, min values: 1.1248e-06, max values: 39.147, median values: 0.16675, and quantile values: 0.25 0.050255\n0.50 0.166750\n0.75 0.741665\nName: 4141, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3784635460867927, std values: 5.087117635559174, min values: 2.4306e-06, max values: 42.283, median values: 0.20281, and quantile values: 0.25 0.05900\n0.50 0.20281\n0.75 0.69145\nName: 4142, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4002751038783021, std values: 4.93866036286564, min values: 8.8135e-07, max values: 41.465, median values: 0.16888, and quantile values: 0.25 0.051164\n0.50 0.168880\n0.75 0.813900\nName: 4143, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4626423989198742, std values: 4.651653748375968, min values: 6.2786e-07, max values: 37.341, median values: 0.24186, and quantile values: 0.25 0.067897\n0.50 0.241860\n0.75 0.939720\nName: 4144, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6291908182970378, std values: 5.004964205811048, min values: 3.6429e-08, max values: 40.825, median values: 0.2502, and quantile values: 0.25 0.063064\n0.50 0.250200\n0.75 1.150200\nName: 4145, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4571795322930818, std values: 4.758049670147366, min values: 1.2384e-06, max values: 39.363, median values: 0.20777, and quantile values: 0.25 0.056139\n0.50 0.207770\n0.75 0.917705\nName: 4146, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2936744684433963, std values: 4.553547020424384, min values: 3.4913e-06, max values: 39.917, median values: 0.19744, and quantile values: 0.25 0.059624\n0.50 0.197440\n0.75 0.719415\nName: 4147, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5162525340509434, std values: 4.987048110312055, min values: 1.9843e-06, max values: 39.837, median values: 0.26197, and quantile values: 0.25 0.074581\n0.50 0.261970\n0.75 0.879635\nName: 4148, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.608414415754717, std values: 4.729457945429841, min values: 2.4847e-06, max values: 39.457, median values: 0.27478, and quantile values: 0.25 0.08250\n0.50 0.27478\n0.75 1.09945\nName: 4149, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4922668348840882, std values: 4.80737771457289, min values: 7.6587e-07, max values: 38.321, median values: 0.25756, and quantile values: 0.25 0.064332\n0.50 0.257560\n0.75 0.945685\nName: 4150, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.505855659209434, std values: 4.970736157592232, min values: 1.9719e-06, max values: 39.487, median values: 0.22542, and quantile values: 0.25 0.072083\n0.50 0.225420\n0.75 0.885960\nName: 4151, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5101358437044023, std values: 5.087035448030295, min values: 3.3755e-06, max values: 40.733, median values: 0.24742, and quantile values: 0.25 0.068554\n0.50 0.247420\n0.75 0.864335\nName: 4152, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5019284170303142, std values: 5.055659992264143, min values: 7.5912e-07, max values: 42.931, median values: 0.21512, and quantile values: 0.25 0.06636\n0.50 0.21512\n0.75 0.93807\nName: 4153, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.426668212763522, std values: 4.848779044933527, min values: 2.0154e-06, max values: 39.319, median values: 0.20145, and quantile values: 0.25 0.058361\n0.50 0.201450\n0.75 0.849810\nName: 4154, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3589131405415096, std values: 4.835807064834176, min values: 1.9657e-06, max values: 38.763, median values: 0.20507, and quantile values: 0.25 0.056349\n0.50 0.205070\n0.75 0.741200\nName: 4155, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.458777259202516, std values: 4.927542477362642, min values: 1.6839e-06, max values: 39.757, median values: 0.213, and quantile values: 0.25 0.05926\n0.50 0.21300\n0.75 0.89907\nName: 4156, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2472617569955975, std values: 4.848358306472931, min values: 1.2256e-06, max values: 40.192, median values: 0.15334, and quantile values: 0.25 0.043593\n0.50 0.153340\n0.75 0.657140\nName: 4157, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.372952032200629, std values: 4.915997808585411, min values: 3.3443e-06, max values: 40.642, median values: 0.18083, and quantile values: 0.25 0.060146\n0.50 0.180830\n0.75 0.611260\nName: 4158, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4146024433712578, std values: 4.743256210368243, min values: 6.5253e-07, max values: 38.564, median values: 0.19432, and quantile values: 0.25 0.053625\n0.50 0.194320\n0.75 0.890125\nName: 4159, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.731792271648849, std values: 4.89123070261377, min values: 2.9107e-08, max values: 37.261, median values: 0.30729, and quantile values: 0.25 0.070901\n0.50 0.307290\n0.75 1.267250\nName: 4160, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.659650564716981, std values: 4.917000144298051, min values: 9.616e-07, max values: 38.056, median values: 0.27051, and quantile values: 0.25 0.07570\n0.50 0.27051\n0.75 1.14845\nName: 4161, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.601944125842138, std values: 4.985102664331222, min values: 3.1409e-06, max values: 40.151, median values: 0.23966, and quantile values: 0.25 0.066614\n0.50 0.239660\n0.75 1.014400\nName: 4162, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4943143730818491, std values: 4.72776930629849, min values: 1.8094e-08, max values: 37.064, median values: 0.17612, and quantile values: 0.25 0.048875\n0.50 0.176120\n0.75 0.935405\nName: 4163, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4737459599982388, std values: 4.999362296481505, min values: 5.5652e-07, max values: 41.187, median values: 0.19394, and quantile values: 0.25 0.051131\n0.50 0.193940\n0.75 0.890265\nName: 4164, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9015022646496855, std values: 5.495614198724304, min values: 8.5483e-06, max values: 42.849, median values: 0.33178, and quantile values: 0.25 0.101075\n0.50 0.331780\n0.75 1.167200\nName: 4165, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4841001083572956, std values: 4.81575297670426, min values: 5.7711e-07, max values: 38.478, median values: 0.20368, and quantile values: 0.25 0.062562\n0.50 0.203680\n0.75 0.976225\nName: 4166, dtype: float64, respectively."] \ No newline at end of file diff --git a/data/age_sex/Cataracts_1/test/prote_text.json b/data/age_sex/Cataracts_1/test/prote_text.json new file mode 100644 index 0000000000000000000000000000000000000000..fcba2dd2cd16a8fe4e11ffae32065d06ceed7735 --- /dev/null +++ b/data/age_sex/Cataracts_1/test/prote_text.json @@ -0,0 +1 @@ +["A sample with 2917 features representing prote data with mean values: -0.1241978135094755, std values: 0.7481527114222577, min values: -2.419659473655063, max values: 4.0, median values: -0.2101344127575057, and quantile values: 0.25 -0.646898\n0.50 -0.210134\n0.75 0.358230\nName: 0, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.9893740665622798, std values: 1.0453282764883394, min values: -2.374446373878101, max values: 4.0, median values: 1.0222105683488574, and quantile values: 0.25 0.252267\n0.50 1.022211\n0.75 1.774749\nName: 1, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34567034562621934, std values: 0.8147899376165132, min values: -2.02927552142332, max values: 4.0, median values: -0.460422487485657, and quantile values: 0.25 -0.982833\n0.50 -0.460422\n0.75 0.193684\nName: 2, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1852400400435124, std values: 1.105962285664509, min values: -2.837386543755612, max values: 4.0, median values: -0.04200980579531, and quantile values: 0.25 -0.822970\n0.50 -0.042010\n0.75 0.583801\nName: 3, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16896700324726108, std values: 0.9394201519771945, min values: -2.9622221028070275, max values: 4.0, median values: 0.1765647675864491, and quantile values: 0.25 -0.417920\n0.50 0.176565\n0.75 0.811771\nName: 4, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10184654226273727, std values: 0.7909562339031195, min values: -2.300042081328127, max values: 4.278004674434932, median values: 0.1289994938029808, and quantile values: 0.25 -0.450774\n0.50 0.128999\n0.75 0.637436\nName: 5, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4674167575451264, std values: 0.9180664945052152, min values: -2.5399045531878324, max values: 4.0, median values: -0.570150413078106, and quantile values: 0.25 -1.131422\n0.50 -0.570150\n0.75 0.111763\nName: 6, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06920653969944145, std values: 0.8322718541642472, min values: -2.5759052915632985, max values: 3.060952636712705, median values: 0.0121484341087893, and quantile values: 0.25 -0.495743\n0.50 0.012148\n0.75 0.563130\nName: 7, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12222882226014428, std values: 1.4332667416518157, min values: -2.9472833478224456, max values: 6.0, median values: 0.0822700214944639, and quantile values: 0.25 -1.252002\n0.50 0.082270\n0.75 0.946290\nName: 8, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.015503806599303187, std values: 0.8525030261452925, min values: -2.3333312203517527, max values: 3.32433157891547, median values: -0.0169374873298715, and quantile values: 0.25 -0.556026\n0.50 -0.016937\n0.75 0.526835\nName: 9, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6227461848652728, std values: 0.8790570763102713, min values: -1.935822250003327, max values: 5.0, median values: 0.7413438509772037, and quantile values: 0.25 0.041376\n0.50 0.741344\n0.75 1.205654\nName: 10, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4485357407778009, std values: 0.7665134022352206, min values: -2.419659473655063, max values: 4.0, median values: -0.499782393720497, and quantile values: 0.25 -0.993655\n0.50 -0.499782\n0.75 0.009804\nName: 11, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5891594806691528, std values: 0.8980486551170793, min values: -2.783691185534105, max values: 2.8828268876316385, median values: 0.678902493841208, and quantile values: 0.25 -0.028535\n0.50 0.678902\n0.75 1.245037\nName: 12, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38382949094351426, std values: 0.8498333604998219, min values: -2.928515832252388, max values: 5.0, median values: -0.4359108243763674, and quantile values: 0.25 -0.918241\n0.50 -0.435911\n0.75 0.072906\nName: 13, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.008926690741058054, std values: 0.8085582201339239, min values: -2.90140378513671, max values: 3.3483277116524426, median values: 0.0436085504018091, and quantile values: 0.25 -0.611830\n0.50 0.043609\n0.75 0.536709\nName: 14, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1671691979491335, std values: 0.7525291990589631, min values: -2.349293916724472, max values: 3.0, median values: 0.2142195745590054, and quantile values: 0.25 -0.354620\n0.50 0.214220\n0.75 0.658332\nName: 15, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4693408798359669, std values: 0.9070815038320551, min values: -2.1222500742240245, max values: 3.258347009006034, median values: 0.536859692478282, and quantile values: 0.25 -0.200472\n0.50 0.536860\n0.75 1.156589\nName: 16, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11502214682836906, std values: 1.0542037857821251, min values: -2.7542003929097176, max values: 5.0, median values: -0.1520222161930101, and quantile values: 0.25 -0.953490\n0.50 -0.152022\n0.75 0.597875\nName: 17, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.364137221650497, std values: 0.8637162783007026, min values: -2.5743883495350026, max values: 5.0, median values: -0.3137881466810196, and quantile values: 0.25 -0.921254\n0.50 -0.313788\n0.75 0.137162\nName: 18, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19640630285338034, std values: 0.9152123151285525, min values: -2.622408470084112, max values: 3.319774799707247, median values: 0.2590672043802689, and quantile values: 0.25 -0.279089\n0.50 0.259067\n0.75 0.790708\nName: 19, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06591719741059385, std values: 0.9363881382250555, min values: -2.103801947435861, max values: 3.721862465295849, median values: -0.119057728976061, and quantile values: 0.25 -0.807077\n0.50 -0.119058\n0.75 0.563711\nName: 20, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3383590307488738, std values: 0.8427877606852338, min values: -1.8522923203948587, max values: 2.95782096138206, median values: 0.3931549271785926, and quantile values: 0.25 -0.230208\n0.50 0.393155\n0.75 0.903267\nName: 21, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6994328563831012, std values: 0.9487420524307757, min values: -2.7648443048846945, max values: 3.721862465295849, median values: 0.8496165809734423, and quantile values: 0.25 0.035120\n0.50 0.849617\n0.75 1.424335\nName: 22, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4461158696371736, std values: 0.9793346534631134, min values: -2.837386543755612, max values: 4.0, median values: -0.5283861077222041, and quantile values: 0.25 -1.267748\n0.50 -0.528386\n0.75 0.256673\nName: 23, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20462703098718685, std values: 0.8054121270728501, min values: -2.0019812311634992, max values: 6.0, median values: -0.2893503800775995, and quantile values: 0.25 -0.796292\n0.50 -0.289350\n0.75 0.307637\nName: 24, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.48245185018550124, std values: 0.814801354766321, min values: -2.933035609461076, max values: 5.0, median values: -0.5053461204392017, and quantile values: 0.25 -1.127618\n0.50 -0.505346\n0.75 0.071129\nName: 25, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28766046674995044, std values: 0.8658529767043146, min values: -2.282507265897526, max values: 5.0, median values: 0.3719475741218912, and quantile values: 0.25 -0.306393\n0.50 0.371948\n0.75 0.845985\nName: 26, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.393751737458919, std values: 0.9773328902266325, min values: -2.673124659932621, max values: 6.0, median values: 0.515321163240947, and quantile values: 0.25 -0.197382\n0.50 0.515321\n0.75 1.068831\nName: 27, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2347075985715768, std values: 1.000410034452066, min values: -2.778044916685896, max values: 3.477886732511886, median values: -0.3012015318379326, and quantile values: 0.25 -0.940206\n0.50 -0.301202\n0.75 0.446357\nName: 28, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45979206934336564, std values: 0.8397029491158027, min values: -2.788272971802125, max values: 3.0932086550988465, median values: -0.5892046224429945, and quantile values: 0.25 -1.086848\n0.50 -0.589205\n0.75 0.055024\nName: 29, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27163963095920907, std values: 0.8945478181514104, min values: -2.196708653609315, max values: 6.0, median values: 0.2276124042564093, and quantile values: 0.25 -0.294579\n0.50 0.227612\n0.75 0.830722\nName: 30, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2966579446692327, std values: 0.9336468124607135, min values: -2.510124273981921, max values: 3.434669824302974, median values: -0.3516598347218238, and quantile values: 0.25 -0.885077\n0.50 -0.351660\n0.75 0.284615\nName: 31, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3205775798837836, std values: 1.0803279009178843, min values: -2.841647375415054, max values: 5.0, median values: 0.1705664603512642, and quantile values: 0.25 -0.426953\n0.50 0.170566\n0.75 1.130117\nName: 32, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12219567972229425, std values: 0.7717174378946228, min values: -2.196708653609315, max values: 6.0, median values: -0.0899321956433602, and quantile values: 0.25 -0.656895\n0.50 -0.089932\n0.75 0.406365\nName: 33, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6992546930232424, std values: 0.911471326200088, min values: -2.372995607737588, max values: 5.0, median values: 0.8060346037633488, and quantile values: 0.25 0.107278\n0.50 0.806035\n0.75 1.361251\nName: 34, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40273475463599456, std values: 0.9277833411340608, min values: -2.1062910125783354, max values: 4.0, median values: -0.5524798384104775, and quantile values: 0.25 -1.138396\n0.50 -0.552480\n0.75 0.193115\nName: 35, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.030359951106456482, std values: 1.0218736077296764, min values: -2.497627580948261, max values: 3.5581019918925243, median values: 0.0495345363057275, and quantile values: 0.25 -0.678228\n0.50 0.049535\n0.75 0.580777\nName: 36, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03624592277947148, std values: 0.9844003744572715, min values: -2.56026492390943, max values: 4.0, median values: -0.0910001094353844, and quantile values: 0.25 -0.731867\n0.50 -0.091000\n0.75 0.584624\nName: 37, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24602816254026913, std values: 0.8047282062454149, min values: -2.0773212586940626, max values: 3.1841025362512254, median values: 0.2586115647587328, and quantile values: 0.25 -0.275969\n0.50 0.258612\n0.75 0.716436\nName: 38, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04075152579763569, std values: 0.7958691699640487, min values: -1.909594423023917, max values: 4.0, median values: -0.1389131404368808, and quantile values: 0.25 -0.577647\n0.50 -0.138913\n0.75 0.407674\nName: 39, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11005654649874422, std values: 0.7395297550304305, min values: -2.2551077614898265, max values: 3.197902420311553, median values: -0.1557166302748745, and quantile values: 0.25 -0.621811\n0.50 -0.155717\n0.75 0.319784\nName: 40, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3877341905070993, std values: 1.0482478581780388, min values: -2.9265160609644223, max values: 6.0, median values: 0.4847620558452549, and quantile values: 0.25 -0.219362\n0.50 0.484762\n0.75 1.088839\nName: 41, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2596986541624529, std values: 0.9204111977320175, min values: -2.605844844843939, max values: 4.0, median values: -0.3833042652668342, and quantile values: 0.25 -0.970798\n0.50 -0.383304\n0.75 0.299618\nName: 42, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2099044068062783, std values: 0.8423051874675958, min values: -2.1227739687253626, max values: 3.312693232344632, median values: -0.2999641623150328, and quantile values: 0.25 -0.782930\n0.50 -0.299964\n0.75 0.291188\nName: 43, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42252776638747486, std values: 0.8248970110084674, min values: -2.264034258932616, max values: 3.2266531185902125, median values: 0.4842118150864262, and quantile values: 0.25 -0.125717\n0.50 0.484212\n0.75 0.969931\nName: 44, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5809239083036836, std values: 0.8841076466201319, min values: -2.5774281843044924, max values: 4.0, median values: -0.7363755222099353, and quantile values: 0.25 -1.274199\n0.50 -0.736376\n0.75 -0.008647\nName: 45, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2483961863131227, std values: 1.1047239078694862, min values: -3.101800431129944, max values: 6.0, median values: -0.2727787580790372, and quantile values: 0.25 -0.943685\n0.50 -0.272779\n0.75 0.502782\nName: 46, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03256426792604166, std values: 0.894894918756801, min values: -2.47933912792532, max values: 3.569037956734876, median values: -0.0578096622307998, and quantile values: 0.25 -0.609905\n0.50 -0.057810\n0.75 0.641389\nName: 47, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5013319510314616, std values: 0.8522334054389569, min values: -2.5445249319512966, max values: 3.721862465295849, median values: 0.6185515596540506, and quantile values: 0.25 -0.012007\n0.50 0.618552\n0.75 1.058502\nName: 48, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.004080065766654904, std values: 0.9487607611790683, min values: -1.9870869113932128, max values: 6.0, median values: -0.0340451666053028, and quantile values: 0.25 -0.738471\n0.50 -0.034045\n0.75 0.668934\nName: 49, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46755007679311705, std values: 0.8903714510160846, min values: -2.9109251266226006, max values: 3.2071942083719924, median values: -0.556191545058661, and quantile values: 0.25 -1.127670\n0.50 -0.556192\n0.75 0.062031\nName: 50, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0938170694155637, std values: 0.7898655659346775, min values: -1.9940685612824285, max values: 4.0, median values: 0.0687923455658068, and quantile values: 0.25 -0.421529\n0.50 0.068792\n0.75 0.565067\nName: 51, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39945653786943275, std values: 0.8685148615903274, min values: -2.5682675825126706, max values: 5.0, median values: 0.3589094552569033, and quantile values: 0.25 -0.184060\n0.50 0.358909\n0.75 0.983777\nName: 52, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19330193475886998, std values: 0.8292124974509202, min values: -2.838932175687192, max values: 4.0, median values: 0.2559397995826582, and quantile values: 0.25 -0.366140\n0.50 0.255940\n0.75 0.734269\nName: 53, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19352538264131583, std values: 0.8270041410930067, min values: -2.140943184359666, max values: 5.0, median values: -0.2448817261135664, and quantile values: 0.25 -0.763554\n0.50 -0.244882\n0.75 0.267364\nName: 54, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21412007950889145, std values: 0.9706752901660021, min values: -2.5122218748354936, max values: 3.0, median values: -0.0978654788043967, and quantile values: 0.25 -0.647932\n0.50 -0.097865\n0.75 0.394151\nName: 55, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.1371759859027233, std values: 1.2133702601402319, min values: -2.727901130262228, max values: 4.0, median values: -1.6877491624678858, and quantile values: 0.25 -2.140406\n0.50 -1.687749\n0.75 -0.130215\nName: 56, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2097662010367942, std values: 1.001778452533996, min values: -2.060926614662576, max values: 6.0, median values: 0.267934515286685, and quantile values: 0.25 -0.542176\n0.50 0.267935\n0.75 0.967773\nName: 57, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16231139980528636, std values: 1.003641966401614, min values: -2.6278943940336483, max values: 4.026668017837955, median values: -0.1249951921151962, and quantile values: 0.25 -0.815391\n0.50 -0.124995\n0.75 0.498444\nName: 58, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30951239906216615, std values: 0.95366041797597, min values: -3.236860296211546, max values: 3.163266084685921, median values: -0.1936354094206612, and quantile values: 0.25 -0.853080\n0.50 -0.193635\n0.75 0.282506\nName: 59, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4415955066843475, std values: 0.8499746503236364, min values: -2.5759052915632985, max values: 3.721862465295849, median values: -0.5575714767344953, and quantile values: 0.25 -0.999909\n0.50 -0.557571\n0.75 0.067551\nName: 60, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.257284207241284, std values: 0.9417525218483637, min values: -2.609385158408876, max values: 4.0, median values: 0.2942582157069887, and quantile values: 0.25 -0.275085\n0.50 0.294258\n0.75 0.834344\nName: 61, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21212147394698735, std values: 0.8740609138492567, min values: -2.156806272086999, max values: 3.0, median values: 0.3077495575595325, and quantile values: 0.25 -0.403389\n0.50 0.307750\n0.75 0.901278\nName: 62, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14855521221594628, std values: 0.8831583481263477, min values: -2.933035609461076, max values: 5.0, median values: -0.1618640970941207, and quantile values: 0.25 -0.656380\n0.50 -0.161864\n0.75 0.385054\nName: 63, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3453226534566509, std values: 1.008176443409624, min values: -2.558791007225312, max values: 3.306454397423372, median values: -0.4205665379696837, and quantile values: 0.25 -1.114197\n0.50 -0.420567\n0.75 0.316308\nName: 64, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06201079621281688, std values: 0.7748825228156349, min values: -1.8888634384977805, max values: 5.0, median values: -0.1180038577666347, and quantile values: 0.25 -0.595736\n0.50 -0.118004\n0.75 0.391379\nName: 65, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04794330047963492, std values: 0.7756432191989997, min values: -2.133376301904917, max values: 3.2906806286429298, median values: -0.011982980534306, and quantile values: 0.25 -0.472412\n0.50 -0.011983\n0.75 0.539470\nName: 66, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14475225162107713, std values: 0.8290204086691348, min values: -2.321103531050575, max values: 4.0, median values: -0.1909630215643614, and quantile values: 0.25 -0.716724\n0.50 -0.190963\n0.75 0.375571\nName: 67, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29704485072733294, std values: 0.8246683191017384, min values: -1.991268929594683, max values: 3.5581019918925243, median values: 0.3347471050480973, and quantile values: 0.25 -0.228936\n0.50 0.334747\n0.75 0.806133\nName: 68, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04725687821774346, std values: 0.8974666265940782, min values: -2.271143658239337, max values: 6.0, median values: -0.1946865764827526, and quantile values: 0.25 -0.669410\n0.50 -0.194687\n0.75 0.503964\nName: 69, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49850770603580113, std values: 1.0694166735918953, min values: -2.9090251609554527, max values: 6.0, median values: -0.4340837266380485, and quantile values: 0.25 -1.146750\n0.50 -0.434084\n0.75 0.156889\nName: 70, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5810557604179996, std values: 0.9986176385697789, min values: -2.810662060852592, max values: 3.627976272701048, median values: -0.6897153799558561, and quantile values: 0.25 -1.417848\n0.50 -0.689715\n0.75 0.141833\nName: 71, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5080385896831411, std values: 1.0941052929520994, min values: -2.5399045531878324, max values: 4.0, median values: -0.546341897062915, and quantile values: 0.25 -1.474026\n0.50 -0.546342\n0.75 0.285065\nName: 72, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8098714714288512, std values: 0.988111203432237, min values: -2.6682522942394846, max values: 4.0, median values: -1.0084391277186242, and quantile values: 0.25 -1.590627\n0.50 -1.008439\n0.75 -0.177622\nName: 73, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40367959166511724, std values: 0.8840018916258128, min values: -2.730840794324401, max values: 3.098911021393695, median values: 0.4408720251375082, and quantile values: 0.25 -0.147121\n0.50 0.440872\n0.75 1.056816\nName: 74, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41837416485471207, std values: 1.1732148069706274, min values: -2.5859127503381347, max values: 3.627976272701048, median values: 0.465622984653261, and quantile values: 0.25 -0.422764\n0.50 0.465623\n0.75 1.281433\nName: 75, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20573569311053302, std values: 0.8002809781016769, min values: -1.998227699014374, max values: 3.3014869995452325, median values: 0.1619396097580672, and quantile values: 0.25 -0.309223\n0.50 0.161940\n0.75 0.714625\nName: 76, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13801298314722033, std values: 1.0858895917583016, min values: -3.2509220350358614, max values: 3.434669824302974, median values: 0.1928407721362139, and quantile values: 0.25 -0.731687\n0.50 0.192841\n0.75 1.041124\nName: 77, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40789100533794637, std values: 0.9363290637889627, min values: -2.419133598913117, max values: 3.258347009006034, median values: 0.459529245836804, and quantile values: 0.25 -0.206432\n0.50 0.459529\n0.75 1.010306\nName: 78, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.020022419673707575, std values: 0.8261520660715493, min values: -2.15085577507779, max values: 3.528773265847577, median values: -0.0485708996965881, and quantile values: 0.25 -0.574215\n0.50 -0.048571\n0.75 0.519888\nName: 79, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3996878815743106, std values: 0.7980116194507936, min values: -2.469941537133514, max values: 4.0, median values: 0.490378360473594, and quantile values: 0.25 -0.162466\n0.50 0.490378\n0.75 1.000844\nName: 80, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14176394864052355, std values: 0.8029236719786836, min values: -1.9455990399451109, max values: 5.0, median values: 0.1516321963428452, and quantile values: 0.25 -0.389833\n0.50 0.151632\n0.75 0.619118\nName: 81, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20168189429207062, std values: 0.8020114897290836, min values: -2.157583502182305, max values: 5.0, median values: -0.1725092294820952, and quantile values: 0.25 -0.751430\n0.50 -0.172509\n0.75 0.281571\nName: 82, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09200958138744568, std values: 1.0011781760386211, min values: -2.9109251266226006, max values: 3.312693232344632, median values: 0.1947988425071407, and quantile values: 0.25 -0.440326\n0.50 0.194799\n0.75 0.705542\nName: 83, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07481185472821822, std values: 0.8382769303150734, min values: -2.0669513462950864, max values: 5.0, median values: -0.1661077097853162, and quantile values: 0.25 -0.666318\n0.50 -0.166108\n0.75 0.442730\nName: 84, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0832981893964243, std values: 0.7808757171046202, min values: -2.525881048269423, max values: 3.163266084685921, median values: -0.1696073060469929, and quantile values: 0.25 -0.661718\n0.50 -0.169607\n0.75 0.449963\nName: 85, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.277261367015036, std values: 0.7121244525823385, min values: -2.109891368636471, max values: 3.082096909284949, median values: -0.3106383258605709, and quantile values: 0.25 -0.750020\n0.50 -0.310638\n0.75 0.156286\nName: 86, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5844316017132871, std values: 0.931130111357435, min values: -2.414039489297912, max values: 6.0, median values: 0.5959666009728917, and quantile values: 0.25 -0.100355\n0.50 0.595967\n0.75 1.307588\nName: 87, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.502149501538874, std values: 0.8666839107802466, min values: -2.688157591415518, max values: 5.0, median values: 0.5710215157486196, and quantile values: 0.25 -0.065397\n0.50 0.571022\n0.75 1.084273\nName: 88, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3071835809653317, std values: 0.8707813047711076, min values: -2.6278943940336483, max values: 4.0, median values: 0.391170406788206, and quantile values: 0.25 -0.295937\n0.50 0.391170\n0.75 0.914016\nName: 89, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06687117106949751, std values: 0.8042882351985898, min values: -2.5422910691068967, max values: 3.0, median values: -0.0104375891637788, and quantile values: 0.25 -0.483726\n0.50 -0.010438\n0.75 0.586520\nName: 90, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09808041866983992, std values: 0.75453574416153, min values: -2.0797094986253195, max values: 3.1227871431249503, median values: -0.1157122547171062, and quantile values: 0.25 -0.601804\n0.50 -0.115712\n0.75 0.332563\nName: 91, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5733374564574093, std values: 0.790027723540746, min values: -2.8950998983304985, max values: 5.0, median values: -0.6788177416935344, and quantile values: 0.25 -1.159385\n0.50 -0.678818\n0.75 -0.075632\nName: 92, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2333833465377926, std values: 1.274185272617733, min values: -2.64479559868397, max values: 6.0, median values: 0.4096012573670269, and quantile values: 0.25 -0.444243\n0.50 0.409601\n0.75 1.150452\nName: 93, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5045729842603162, std values: 0.830527102415771, min values: -2.576018450691392, max values: 4.0, median values: -0.5561406615823155, and quantile values: 0.25 -1.038367\n0.50 -0.556141\n0.75 -0.037793\nName: 94, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04267033229123639, std values: 0.7666653318553422, min values: -2.0373124907218165, max values: 5.0, median values: 0.0671487859258958, and quantile values: 0.25 -0.464426\n0.50 0.067149\n0.75 0.517398\nName: 95, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4757356806106583, std values: 0.8014513533594911, min values: -2.374446373878101, max values: 4.0, median values: -0.5872514687259783, and quantile values: 0.25 -1.054381\n0.50 -0.587251\n0.75 0.009667\nName: 96, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29716453255668734, std values: 0.837268051557222, min values: -2.5293911731823453, max values: 3.2696814875916886, median values: -0.2702188783563568, and quantile values: 0.25 -0.785115\n0.50 -0.270219\n0.75 0.200781\nName: 97, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6085784053865192, std values: 0.9521312042588449, min values: -2.8531572940820533, max values: 3.0, median values: -0.7650087322781364, and quantile values: 0.25 -1.345895\n0.50 -0.765009\n0.75 0.021745\nName: 98, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21445016075219608, std values: 0.8923657880496206, min values: -2.6685266729136536, max values: 6.0, median values: -0.3518649132733805, and quantile values: 0.25 -0.868692\n0.50 -0.351865\n0.75 0.389277\nName: 99, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.006064786217139006, std values: 0.8973682043185969, min values: -2.01271952487341, max values: 3.0774992973297404, median values: -0.0858351661159953, and quantile values: 0.25 -0.711192\n0.50 -0.085835\n0.75 0.628852\nName: 100, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17750047765949706, std values: 0.9726204542803313, min values: -2.5961021427111413, max values: 3.5581019918925243, median values: -0.1814881147105743, and quantile values: 0.25 -0.941709\n0.50 -0.181488\n0.75 0.525159\nName: 101, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5814403526056827, std values: 0.8651003902116086, min values: -2.1783746090513927, max values: 3.4758930087721422, median values: -0.6743860338145057, and quantile values: 0.25 -1.290302\n0.50 -0.674386\n0.75 -0.031565\nName: 102, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20771056699277698, std values: 0.9124207557512688, min values: -2.062310304625852, max values: 2.928515832252385, median values: -0.2788838113414995, and quantile values: 0.25 -0.965511\n0.50 -0.278884\n0.75 0.467055\nName: 103, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03985382125521815, std values: 0.9945197247330315, min values: -2.981718296512785, max values: 5.0, median values: 0.0922773329439048, and quantile values: 0.25 -0.507632\n0.50 0.092277\n0.75 0.621782\nName: 104, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34635125045190207, std values: 1.003964778770547, min values: -2.673549169958716, max values: 6.0, median values: -0.3236350675494724, and quantile values: 0.25 -0.974934\n0.50 -0.323635\n0.75 0.267592\nName: 105, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11256267555316184, std values: 0.863702144451673, min values: -2.271143658239337, max values: 6.0, median values: -0.1992353299995805, and quantile values: 0.25 -0.788677\n0.50 -0.199235\n0.75 0.489526\nName: 106, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16316273514102297, std values: 0.9750989398006799, min values: -2.232245079481282, max values: 6.0, median values: -0.1960900786405522, and quantile values: 0.25 -0.923080\n0.50 -0.196090\n0.75 0.486331\nName: 107, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1557092000854087, std values: 0.8007360376762438, min values: -1.990286087074009, max values: 6.0, median values: 0.0776938061526773, and quantile values: 0.25 -0.385736\n0.50 0.077694\n0.75 0.649523\nName: 108, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.016595932926143094, std values: 0.9369608791020843, min values: -2.196708653609315, max values: 6.0, median values: -0.0161387380047714, and quantile values: 0.25 -0.681942\n0.50 -0.016139\n0.75 0.708091\nName: 109, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1046821778337401, std values: 0.7895495992158161, min values: -2.4737574649270093, max values: 3.5581019918925243, median values: 0.0560167052001737, and quantile values: 0.25 -0.452108\n0.50 0.056017\n0.75 0.647184\nName: 110, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18042857164944995, std values: 0.790853869774124, min values: -1.9452336065437976, max values: 3.00464355837442, median values: 0.1089575578183335, and quantile values: 0.25 -0.335942\n0.50 0.108958\n0.75 0.666692\nName: 111, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3450300804891503, std values: 0.890537918672145, min values: -2.4536054974529624, max values: 6.0, median values: -0.483274043970654, and quantile values: 0.25 -1.035115\n0.50 -0.483274\n0.75 0.214752\nName: 112, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.391605075895511, std values: 1.032685474920231, min values: -2.257565633739219, max values: 4.0, median values: -0.4414791076858089, and quantile values: 0.25 -1.251757\n0.50 -0.441479\n0.75 0.330730\nName: 113, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3153185477392322, std values: 0.9741130849125141, min values: -2.5631847770497496, max values: 4.0, median values: 0.2158937949686253, and quantile values: 0.25 -0.360462\n0.50 0.215894\n0.75 0.995551\nName: 114, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11672575278703526, std values: 1.042222159971465, min values: -2.3549860423512805, max values: 4.0, median values: -0.2033737733492151, and quantile values: 0.25 -0.952671\n0.50 -0.203374\n0.75 0.575436\nName: 115, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14554464860949173, std values: 0.9725728866128935, min values: -2.5569229852416258, max values: 4.0, median values: -0.2586969930953747, and quantile values: 0.25 -0.791762\n0.50 -0.258697\n0.75 0.448625\nName: 116, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21777736702732384, std values: 0.8889016753526758, min values: -2.841647375415054, max values: 5.0, median values: -0.3754617702355184, and quantile values: 0.25 -0.861750\n0.50 -0.375462\n0.75 0.328595\nName: 117, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1932295975564924, std values: 0.8095501208364774, min values: -2.8451834694312192, max values: 3.3760121766849016, median values: 0.1414995947579493, and quantile values: 0.25 -0.323177\n0.50 0.141500\n0.75 0.713507\nName: 118, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29299612363148486, std values: 0.8173176617373021, min values: -2.349293916724472, max values: 3.17157439250477, median values: -0.3911406779999227, and quantile values: 0.25 -0.928031\n0.50 -0.391141\n0.75 0.227734\nName: 119, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3877013992622851, std values: 1.0032500241838271, min values: -2.6466193392086392, max values: 4.0, median values: -0.4890169345125123, and quantile values: 0.25 -1.099285\n0.50 -0.489017\n0.75 0.234848\nName: 120, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25407772495718484, std values: 1.0293956435505163, min values: -2.7542003929097176, max values: 5.0, median values: -0.2843566028571389, and quantile values: 0.25 -0.930615\n0.50 -0.284357\n0.75 0.421660\nName: 121, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.046156289137707245, std values: 0.7941980215697844, min values: -2.0648102585467867, max values: 3.0, median values: 0.0859457304429292, and quantile values: 0.25 -0.473496\n0.50 0.085946\n0.75 0.547130\nName: 122, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3116912342560296, std values: 0.8319338087172182, min values: -2.1307031986737024, max values: 4.0, median values: 0.3198419930408966, and quantile values: 0.25 -0.257699\n0.50 0.319842\n0.75 0.854578\nName: 123, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3916282919722188, std values: 0.8919322076954663, min values: -2.1057850514779166, max values: 5.0, median values: 0.4493092004413354, and quantile values: 0.25 -0.234537\n0.50 0.449309\n0.75 0.998351\nName: 124, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.090735512345641, std values: 0.8093678189085365, min values: -2.5879430435308, max values: 3.528773265847577, median values: 0.0530656115342753, and quantile values: 0.25 -0.451855\n0.50 0.053066\n0.75 0.597646\nName: 125, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1794589739233166, std values: 0.8630406465731456, min values: -2.567628594116492, max values: 3.4566816047670264, median values: -0.2840698593175164, and quantile values: 0.25 -0.768133\n0.50 -0.284070\n0.75 0.327822\nName: 126, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34965223327360173, std values: 0.9324514102347654, min values: -2.346692247563769, max values: 3.349054967837474, median values: -0.4532890946394924, and quantile values: 0.25 -1.093164\n0.50 -0.453289\n0.75 0.305308\nName: 127, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2097375811314845, std values: 0.8380357021267287, min values: -2.537573835824454, max values: 6.0, median values: -0.2827511394228126, and quantile values: 0.25 -0.784025\n0.50 -0.282751\n0.75 0.306250\nName: 128, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.034634053394761, std values: 0.7550304741092978, min values: -2.1017566422541964, max values: 3.090297571450676, median values: -0.0838451863293977, and quantile values: 0.25 -0.535863\n0.50 -0.083845\n0.75 0.393819\nName: 129, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07495214609161353, std values: 0.8397573841419261, min values: -2.609385158408876, max values: 4.0, median values: 0.0283415645973152, and quantile values: 0.25 -0.582652\n0.50 0.028342\n0.75 0.473284\nName: 130, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3740677074590125, std values: 0.8997266372506576, min values: -2.0818418477937786, max values: 3.784832159836258, median values: 0.4802212271567652, and quantile values: 0.25 -0.241849\n0.50 0.480221\n0.75 0.988075\nName: 131, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3165853464831123, std values: 0.9670091027069126, min values: -2.5820330744015787, max values: 4.0, median values: -0.3767918747440256, and quantile values: 0.25 -0.999948\n0.50 -0.376792\n0.75 0.225866\nName: 132, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4494689786016487, std values: 0.87081038479147, min values: -1.995486066459493, max values: 5.0, median values: 0.4916581593623271, and quantile values: 0.25 -0.130993\n0.50 0.491658\n0.75 1.044050\nName: 133, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03742020652785961, std values: 0.7465358309750301, min values: -2.1317706126061804, max values: 6.0, median values: -0.0150094891663225, and quantile values: 0.25 -0.529907\n0.50 -0.015009\n0.75 0.441896\nName: 134, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.044614567178385196, std values: 0.7835944138174762, min values: -2.011274058715068, max values: 5.0, median values: 0.0095838276545469, and quantile values: 0.25 -0.514661\n0.50 0.009584\n0.75 0.554887\nName: 135, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12512299621111478, std values: 0.7400918535863483, min values: -2.7428415536925543, max values: 3.1801075704642923, median values: 0.1703985970451045, and quantile values: 0.25 -0.368350\n0.50 0.170399\n0.75 0.628074\nName: 136, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23516028892649501, std values: 0.8563129270330142, min values: -2.572123985342288, max values: 4.0, median values: 0.2638832035086156, and quantile values: 0.25 -0.407828\n0.50 0.263883\n0.75 0.889141\nName: 137, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.031227065972383367, std values: 0.8144546983972634, min values: -2.9898739724800576, max values: 3.455472209455805, median values: 0.0131090884686207, and quantile values: 0.25 -0.587567\n0.50 0.013109\n0.75 0.524559\nName: 138, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.125285963531973, std values: 0.7890278770538123, min values: -2.7428415536925543, max values: 2.920585992232296, median values: -0.2118502330884532, and quantile values: 0.25 -0.667489\n0.50 -0.211850\n0.75 0.382301\nName: 139, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08993650718269848, std values: 1.1888501697342166, min values: -2.6800544037614658, max values: 4.0, median values: 0.1756286188202476, and quantile values: 0.25 -0.743648\n0.50 0.175629\n0.75 0.993294\nName: 140, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11301835998065077, std values: 0.8498545132607104, min values: -1.9445035180791472, max values: 2.8436102010648283, median values: 0.0258826719547936, and quantile values: 0.25 -0.474357\n0.50 0.025883\n0.75 0.666603\nName: 141, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47247413474589883, std values: 1.050043261890234, min values: -2.981718296512785, max values: 5.0, median values: 0.447323087221564, and quantile values: 0.25 -0.220350\n0.50 0.447323\n0.75 1.215639\nName: 142, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0732311682371749, std values: 0.760297635496558, min values: -2.196181211030292, max values: 5.0, median values: 0.0822461682856607, and quantile values: 0.25 -0.438415\n0.50 0.082246\n0.75 0.518501\nName: 143, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40234134250382925, std values: 0.9997178708503253, min values: -2.960014365184806, max values: 6.0, median values: -0.2849417438408, and quantile values: 0.25 -1.042791\n0.50 -0.284942\n0.75 0.248328\nName: 144, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04255559359161853, std values: 0.8206344168562112, min values: -2.0266920753422344, max values: 3.362228250221886, median values: -0.0298846023437303, and quantile values: 0.25 -0.570179\n0.50 -0.029885\n0.75 0.603505\nName: 145, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.027513761497534192, std values: 0.8375541471739878, min values: -2.960014365184806, max values: 6.0, median values: -0.0170885783920435, and quantile values: 0.25 -0.465961\n0.50 -0.017089\n0.75 0.574526\nName: 146, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19687818833533577, std values: 0.8397857624872996, min values: -2.7648443048846945, max values: 3.0097288687560817, median values: -0.3178127015599318, and quantile values: 0.25 -0.806264\n0.50 -0.317813\n0.75 0.343650\nName: 147, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2970221054636261, std values: 0.9666344454719619, min values: -2.8246479422601736, max values: 6.0, median values: 0.4254863241516147, and quantile values: 0.25 -0.203639\n0.50 0.425486\n0.75 0.915597\nName: 148, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0472708998185735, std values: 0.7301943551361194, min values: -1.9910689947648448, max values: 2.658693466906681, median values: -0.0378756093247336, and quantile values: 0.25 -0.533245\n0.50 -0.037876\n0.75 0.408137\nName: 149, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2852040184386693, std values: 0.9406777381678736, min values: -2.657750824678472, max values: 5.0, median values: -0.3194289366075637, and quantile values: 0.25 -0.985476\n0.50 -0.319429\n0.75 0.390160\nName: 150, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1426998993988532, std values: 0.9199642355614644, min values: -2.2675359747837835, max values: 4.0, median values: 0.0776938061526773, and quantile values: 0.25 -0.486783\n0.50 0.077694\n0.75 0.743835\nName: 151, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04036213191183529, std values: 0.8851109699332235, min values: -2.5013836759277064, max values: 3.0, median values: -0.0431936669204223, and quantile values: 0.25 -0.651366\n0.50 -0.043194\n0.75 0.669410\nName: 152, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6258075325956135, std values: 0.8710717628679081, min values: -2.7230534645798463, max values: 3.236860296211547, median values: 0.7197895476611157, and quantile values: 0.25 0.157033\n0.50 0.719790\n0.75 1.206626\nName: 153, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22628456923006818, std values: 0.7462063320180597, min values: -2.073524544085168, max values: 5.0, median values: -0.303204335139689, and quantile values: 0.25 -0.754774\n0.50 -0.303204\n0.75 0.223685\nName: 154, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11216765895479855, std values: 0.9492207908199223, min values: -2.099713839971814, max values: 5.0, median values: -0.2857046111512239, and quantile values: 0.25 -0.806315\n0.50 -0.285705\n0.75 0.450224\nName: 155, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15636187650920721, std values: 0.9873452913466231, min values: -2.5445249319512966, max values: 3.9905524164385566, median values: -0.276679872250914, and quantile values: 0.25 -0.953315\n0.50 -0.276680\n0.75 0.584820\nName: 156, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10223712244365896, std values: 0.7210235347598447, min values: -2.196708653609315, max values: 6.0, median values: -0.135579958352977, and quantile values: 0.25 -0.539247\n0.50 -0.135580\n0.75 0.297295\nName: 157, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3983771038905598, std values: 0.7991446156751777, min values: -2.1232100101643527, max values: 6.0, median values: -0.4937400417962992, and quantile values: 0.25 -0.988634\n0.50 -0.493740\n0.75 0.085045\nName: 158, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3877572720104993, std values: 0.868655698828891, min values: -2.605098146828148, max values: 6.0, median values: -0.5604451431176702, and quantile values: 0.25 -1.026684\n0.50 -0.560445\n0.75 0.129187\nName: 159, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3307449226902106, std values: 0.8056430435329263, min values: -2.1632655041380184, max values: 4.0, median values: 0.3574076637491919, and quantile values: 0.25 -0.180095\n0.50 0.357408\n0.75 0.847562\nName: 160, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15983955024378155, std values: 0.7836895344609361, min values: -2.6023368942328267, max values: 3.9905524164385566, median values: 0.1782933017321772, and quantile values: 0.25 -0.370502\n0.50 0.178293\n0.75 0.687109\nName: 161, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4754530009017707, std values: 1.0064035519625236, min values: -2.1227739687253626, max values: 4.243835016543704, median values: 0.3426975819593753, and quantile values: 0.25 -0.202988\n0.50 0.342698\n0.75 1.161063\nName: 162, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06192905877019876, std values: 1.037364077214296, min values: -2.815821936576896, max values: 3.528773265847577, median values: 0.0443055522684459, and quantile values: 0.25 -0.647796\n0.50 0.044306\n0.75 0.617172\nName: 163, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10167650123275264, std values: 0.8844122875389359, min values: -2.5213149333948146, max values: 3.047545592545638, median values: 0.1405191468645193, and quantile values: 0.25 -0.539342\n0.50 0.140519\n0.75 0.822429\nName: 164, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5630241169944936, std values: 1.0345779705775477, min values: -2.083555534231988, max values: 5.0, median values: 0.5563570808980484, and quantile values: 0.25 -0.194855\n0.50 0.556357\n0.75 1.448336\nName: 165, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2554822969689413, std values: 0.9115784431266938, min values: -2.5501488616953263, max values: 3.5427287984042666, median values: 0.2849663576369155, and quantile values: 0.25 -0.380579\n0.50 0.284966\n0.75 0.837312\nName: 166, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20249087594408166, std values: 0.9461761235291655, min values: -2.0999281303014694, max values: 5.0, median values: -0.2581872176153167, and quantile values: 0.25 -0.958641\n0.50 -0.258187\n0.75 0.399598\nName: 167, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.007995868457608414, std values: 0.926560901088453, min values: -2.643887016977268, max values: 6.0, median values: -0.0362159760780613, and quantile values: 0.25 -0.580077\n0.50 -0.036216\n0.75 0.629255\nName: 168, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37818610499092037, std values: 1.0864616445675952, min values: -2.5695487141177, max values: 4.0, median values: 0.5789592324461073, and quantile values: 0.25 -0.157931\n0.50 0.578959\n0.75 1.115223\nName: 169, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.48789687039002944, std values: 0.8997828424352753, min values: -2.4125199145038643, max values: 4.0, median values: 0.5497474618915913, and quantile values: 0.25 -0.150551\n0.50 0.549747\n0.75 1.215744\nName: 170, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6669467473518128, std values: 1.0434347969904214, min values: -3.0223671288921072, max values: 3.5021977227593246, median values: 0.6454196996981711, and quantile values: 0.25 -0.128910\n0.50 0.645420\n0.75 1.542891\nName: 171, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4756796469287423, std values: 0.8850252661590238, min values: -2.7871422803648627, max values: 3.2071942083719924, median values: 0.5309309471094604, and quantile values: 0.25 -0.073048\n0.50 0.530931\n0.75 1.050483\nName: 172, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3339199195010953, std values: 1.0061819697348384, min values: -3.242093130849769, max values: 3.397048482165858, median values: 0.4826022817897145, and quantile values: 0.25 -0.155549\n0.50 0.482602\n0.75 0.992881\nName: 173, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34446991360181506, std values: 0.8748359584551543, min values: -2.862971749830789, max values: 3.2266531185902125, median values: -0.3799878421709109, and quantile values: 0.25 -0.933315\n0.50 -0.379988\n0.75 0.244570\nName: 174, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24429664980474597, std values: 0.7993352066099357, min values: -2.104667097879677, max values: 4.0, median values: 0.212399712767921, and quantile values: 0.25 -0.290386\n0.50 0.212400\n0.75 0.789982\nName: 175, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6192200962253612, std values: 1.0175357525893665, min values: -2.618746139350171, max values: 4.243835016543704, median values: -0.8685883681847305, and quantile values: 0.25 -1.435160\n0.50 -0.868588\n0.75 -0.046889\nName: 176, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25519464566300354, std values: 0.9797737117520539, min values: -2.6685266729136536, max values: 6.0, median values: 0.1864399137560576, and quantile values: 0.25 -0.430874\n0.50 0.186440\n0.75 0.916689\nName: 177, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5269061082884278, std values: 0.8832104822192085, min values: -2.638186942019407, max values: 4.0, median values: -0.6220900409878122, and quantile values: 0.25 -1.135348\n0.50 -0.622090\n0.75 0.016143\nName: 178, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07962367274824149, std values: 1.2195238708403626, min values: -2.815821936576896, max values: 4.026668017837955, median values: 0.2796046037974134, and quantile values: 0.25 -0.398494\n0.50 0.279605\n0.75 0.877038\nName: 179, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39122393593869925, std values: 0.9253607273104301, min values: -2.12073996675014, max values: 3.113991481409584, median values: -0.5293362949466068, and quantile values: 0.25 -1.150963\n0.50 -0.529336\n0.75 0.240754\nName: 180, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21739782002624516, std values: 0.927297295225568, min values: -2.023268385245388, max values: 5.0, median values: -0.2821123043259885, and quantile values: 0.25 -0.998974\n0.50 -0.282112\n0.75 0.438870\nName: 181, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3024829184493216, std values: 1.029620588006066, min values: -2.7510671817729784, max values: 6.0, median values: -0.2690765342290054, and quantile values: 0.25 -0.876351\n0.50 -0.269077\n0.75 0.374959\nName: 182, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4216919612158355, std values: 0.870345624975497, min values: -2.9797100147087465, max values: 5.0, median values: -0.5355081063608879, and quantile values: 0.25 -1.063158\n0.50 -0.535508\n0.75 0.122831\nName: 183, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27524419204839407, std values: 0.8832115520807807, min values: -2.788272971802125, max values: 3.3337116327022187, median values: 0.3128355234988582, and quantile values: 0.25 -0.346108\n0.50 0.312836\n0.75 0.881133\nName: 184, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33366361451267423, std values: 0.8093558083915249, min values: -2.7648443048846945, max values: 3.236860296211547, median values: -0.4401251063267956, and quantile values: 0.25 -0.930652\n0.50 -0.440125\n0.75 0.154234\nName: 185, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07092542865740585, std values: 0.8855482542968212, min values: -2.842043939794492, max values: 3.2266531185902125, median values: 0.116878203385242, and quantile values: 0.25 -0.425642\n0.50 0.116878\n0.75 0.673004\nName: 186, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16823410441603368, std values: 0.9601382406322286, min values: -2.7230534645798463, max values: 3.9905524164385566, median values: -0.1509636445107179, and quantile values: 0.25 -0.839690\n0.50 -0.150964\n0.75 0.471884\nName: 187, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6145797844448126, std values: 0.9549219650151619, min values: -2.860922438481449, max values: 3.496479817235339, median values: -0.7618229553307477, and quantile values: 0.25 -1.407930\n0.50 -0.761823\n0.75 -0.004379\nName: 188, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10314862072735288, std values: 0.8403287257910366, min values: -2.124111428422639, max values: 5.0, median values: -0.0638519499972242, and quantile values: 0.25 -0.730623\n0.50 -0.063852\n0.75 0.492619\nName: 189, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17780290043741606, std values: 0.8038651477981444, min values: -2.919359491767569, max values: 6.0, median values: 0.2054251137010895, and quantile values: 0.25 -0.299272\n0.50 0.205425\n0.75 0.656550\nName: 190, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23907235122476325, std values: 0.9373039277563882, min values: -2.860922438481449, max values: 3.026950214607353, median values: 0.3424970776566965, and quantile values: 0.25 -0.374044\n0.50 0.342497\n0.75 0.888509\nName: 191, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3390635658992789, std values: 0.9371059563706319, min values: -2.673124659932621, max values: 6.0, median values: -0.410269262021185, and quantile values: 0.25 -0.993925\n0.50 -0.410269\n0.75 0.222918\nName: 192, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38340785713975, std values: 0.8286699289996307, min values: -2.4788285026914285, max values: 4.0, median values: 0.3589052026084777, and quantile values: 0.25 -0.147956\n0.50 0.358905\n0.75 0.937195\nName: 193, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.47637860744312305, std values: 0.8858021616873357, min values: -2.5624611946462936, max values: 5.0, median values: -0.5875674323610439, and quantile values: 0.25 -1.137239\n0.50 -0.587567\n0.75 0.094157\nName: 194, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3170153569072054, std values: 1.0423898671635223, min values: -2.788272971802125, max values: 3.670892362631932, median values: 0.4089587754941067, and quantile values: 0.25 -0.436839\n0.50 0.408959\n0.75 1.081469\nName: 195, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1458080392267725, std values: 0.8227122319799156, min values: -2.6635706018350787, max values: 3.670892362631932, median values: 0.1469189591135541, and quantile values: 0.25 -0.403235\n0.50 0.146919\n0.75 0.693769\nName: 196, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.057439096117864664, std values: 0.8081550921005705, min values: -2.020286901424804, max values: 3.667275230673496, median values: -0.1441004053567378, and quantile values: 0.25 -0.608247\n0.50 -0.144100\n0.75 0.442390\nName: 197, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3718402173634028, std values: 1.0050770396008948, min values: -2.5743883495350026, max values: 5.0, median values: 0.4546628785636873, and quantile values: 0.25 -0.372048\n0.50 0.454663\n0.75 1.171786\nName: 198, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20878418402476062, std values: 0.8493865287705139, min values: -2.4078261042566886, max values: 3.8226908388056136, median values: -0.2660635410749932, and quantile values: 0.25 -0.774353\n0.50 -0.266064\n0.75 0.264653\nName: 199, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4777516431560836, std values: 0.7409447247548098, min values: -2.1317706126061804, max values: 5.0, median values: 0.5341897160720621, and quantile values: 0.25 0.020705\n0.50 0.534190\n0.75 0.953054\nName: 200, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11232351662925563, std values: 0.7529494515432471, min values: -2.2915911556076085, max values: 3.103622965243153, median values: 0.1137614263345036, and quantile values: 0.25 -0.358002\n0.50 0.113761\n0.75 0.572319\nName: 201, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1787324486452789, std values: 0.801872746178172, min values: -2.2161166709808824, max values: 6.0, median values: -0.2261660279813561, and quantile values: 0.25 -0.706013\n0.50 -0.226166\n0.75 0.292013\nName: 202, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4854045729302269, std values: 1.1333112697671797, min values: -2.684072796644972, max values: 6.0, median values: 0.7085159619727298, and quantile values: 0.25 -0.162897\n0.50 0.708516\n0.75 1.305003\nName: 203, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.709030507511283, std values: 0.8532206986583848, min values: -3.5073564001364024, max values: 3.1801075704642923, median values: -0.8644050599993692, and quantile values: 0.25 -1.361251\n0.50 -0.864405\n0.75 -0.212745\nName: 204, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12664318251410317, std values: 0.7231682724249481, min values: -2.7428415536925543, max values: 3.5908526919299577, median values: -0.1455573099867911, and quantile values: 0.25 -0.593554\n0.50 -0.145557\n0.75 0.287182\nName: 205, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21401023885383763, std values: 0.9132033574364042, min values: -2.1525285902534432, max values: 5.0, median values: -0.3199264074206479, and quantile values: 0.25 -0.875866\n0.50 -0.319926\n0.75 0.350313\nName: 206, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08156326542273494, std values: 0.7920522151231534, min values: -2.8164291268114208, max values: 4.0, median values: 0.1366611796820452, and quantile values: 0.25 -0.459340\n0.50 0.136661\n0.75 0.601435\nName: 207, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2797215086569195, std values: 0.9183875510925263, min values: -2.947062251106049, max values: 3.496479817235339, median values: 0.4451299601027292, and quantile values: 0.25 -0.167196\n0.50 0.445130\n0.75 0.876310\nName: 208, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44004079538708496, std values: 1.0061620209759234, min values: -2.92272757463548, max values: 6.0, median values: -0.3457569856324661, and quantile values: 0.25 -1.008125\n0.50 -0.345757\n0.75 0.152691\nName: 209, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08841831782908735, std values: 0.9620816409812079, min values: -2.4788285026914285, max values: 4.0, median values: 0.0534867409199098, and quantile values: 0.25 -0.692927\n0.50 0.053487\n0.75 0.889597\nName: 210, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10029185917835542, std values: 0.8577418043762569, min values: -2.73836943861057, max values: 3.163266084685921, median values: -0.0784998336083729, and quantile values: 0.25 -0.589270\n0.50 -0.078500\n0.75 0.390016\nName: 211, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.017655467020728385, std values: 0.8820574171185339, min values: -2.0441770656208704, max values: 3.9905524164385566, median values: -0.0780494002475965, and quantile values: 0.25 -0.663639\n0.50 -0.078049\n0.75 0.571096\nName: 212, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5652243754463164, std values: 0.9340239801497735, min values: -3.0960472541202715, max values: 6.0, median values: -0.6037469934114869, and quantile values: 0.25 -1.158311\n0.50 -0.603747\n0.75 -0.025174\nName: 213, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01583673667146754, std values: 0.7248588321891656, min values: -1.9623191839850247, max values: 3.784832159836258, median values: 0.0115392282486032, and quantile values: 0.25 -0.481705\n0.50 0.011539\n0.75 0.399188\nName: 214, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8844854229112701, std values: 1.540166990671515, min values: -2.9029979285382743, max values: 3.5021977227593246, median values: -1.684419893966587, and quantile values: 0.25 -2.276158\n0.50 -1.684420\n0.75 0.597184\nName: 215, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2471900730507365, std values: 1.1180003392792122, min values: -3.24173864501462, max values: 4.026668017837955, median values: -0.214569117205924, and quantile values: 0.25 -1.045727\n0.50 -0.214569\n0.75 0.510738\nName: 216, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39420483852309424, std values: 1.2852085007725869, min values: -2.960014365184806, max values: 6.0, median values: -0.4058515419902097, and quantile values: 0.25 -1.467212\n0.50 -0.405852\n0.75 0.690165\nName: 217, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5268640307451715, std values: 0.95539833463131, min values: -2.580492024304656, max values: 3.9905524164385566, median values: 0.5721564382269237, and quantile values: 0.25 -0.138246\n0.50 0.572156\n0.75 1.230720\nName: 218, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12024995098393178, std values: 0.8291639889584179, min values: -2.5774281843044924, max values: 6.0, median values: -0.1958374198246159, and quantile values: 0.25 -0.679349\n0.50 -0.195837\n0.75 0.312315\nName: 219, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11657222086794655, std values: 0.8656948729598938, min values: -2.5563022890751474, max values: 4.0, median values: -0.0903356176226961, and quantile values: 0.25 -0.779338\n0.50 -0.090336\n0.75 0.497570\nName: 220, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35400295373509005, std values: 0.8906162022643539, min values: -1.9302613833454103, max values: 6.0, median values: 0.4032352627974845, and quantile values: 0.25 -0.283640\n0.50 0.403235\n0.75 1.046135\nName: 221, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18512457790651357, std values: 0.9707417064680981, min values: -2.8680719719444903, max values: 3.135426854633533, median values: -0.0773382218816483, and quantile values: 0.25 -0.755354\n0.50 -0.077338\n0.75 0.462096\nName: 222, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31565058572644306, std values: 0.9684078750735426, min values: -2.873069976951463, max values: 4.278004674434932, median values: -0.348029456064616, and quantile values: 0.25 -0.926033\n0.50 -0.348029\n0.75 0.292510\nName: 223, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4477171253767998, std values: 1.1189606059416508, min values: -2.928515832252388, max values: 5.0, median values: -0.3539481057547586, and quantile values: 0.25 -1.080211\n0.50 -0.353948\n0.75 0.262490\nName: 224, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2891890331658741, std values: 0.879627286783725, min values: -1.9315357598542853, max values: 3.8226908388056136, median values: 0.3237863933306888, and quantile values: 0.25 -0.339207\n0.50 0.323786\n0.75 0.938026\nName: 225, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2761718848279299, std values: 0.9013613672474563, min values: -2.5156802245814003, max values: 4.0, median values: 0.3645208225626223, and quantile values: 0.25 -0.266088\n0.50 0.364521\n0.75 0.917827\nName: 226, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45920434665452026, std values: 0.8841418302989011, min values: -2.1548749249906303, max values: 5.0, median values: -0.6182590226970957, and quantile values: 0.25 -1.138442\n0.50 -0.618259\n0.75 0.129548\nName: 227, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03295320149314326, std values: 1.1775394742378569, min values: -2.92272757463548, max values: 6.0, median values: 0.0647074342822869, and quantile values: 0.25 -0.675959\n0.50 0.064707\n0.75 0.759605\nName: 228, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12110746470383207, std values: 0.7980148140390338, min values: -2.2915911556076085, max values: 3.390469008396469, median values: -0.1844442283209702, and quantile values: 0.25 -0.707957\n0.50 -0.184444\n0.75 0.398779\nName: 229, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.027996253381525, std values: 1.2949647861876967, min values: -2.727901130262228, max values: 4.0, median values: -1.6529432372278574, and quantile values: 0.25 -2.140406\n0.50 -1.652943\n0.75 0.062031\nName: 230, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6398082643255125, std values: 0.9690020113789423, min values: -2.6652153608723106, max values: 5.0, median values: 0.7666541185411958, and quantile values: 0.25 0.083182\n0.50 0.766654\n0.75 1.314411\nName: 231, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17312337775176148, std values: 1.1962339070801193, min values: -2.6466193392086392, max values: 4.0, median values: 0.0999985566286827, and quantile values: 0.25 -0.648618\n0.50 0.099999\n0.75 1.117413\nName: 232, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21049054938696068, std values: 0.9022650782539829, min values: -2.801183634509044, max values: 5.0, median values: -0.2549683713943466, and quantile values: 0.25 -0.804715\n0.50 -0.254968\n0.75 0.401746\nName: 233, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19706214684958395, std values: 0.7756080439363995, min values: -2.235583939804888, max values: 2.9666813816765742, median values: -0.2817194407616981, and quantile values: 0.25 -0.742277\n0.50 -0.281719\n0.75 0.299099\nName: 234, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.184423552372203, std values: 1.088419373050436, min values: -2.486556664247513, max values: 3.3337116327022187, median values: 0.1506293939147307, and quantile values: 0.25 -0.622424\n0.50 0.150629\n0.75 0.997535\nName: 235, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05292987274935872, std values: 0.8602824113338009, min values: -2.4125199145038643, max values: 4.0, median values: 0.1002455080982938, and quantile values: 0.25 -0.559782\n0.50 0.100246\n0.75 0.659286\nName: 236, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.246254826056221, std values: 0.847401465949939, min values: -2.000756945348453, max values: 3.4566816047670264, median values: 0.2553781474475968, and quantile values: 0.25 -0.361356\n0.50 0.255378\n0.75 0.789429\nName: 237, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1742361552145158, std values: 0.9422054381515074, min values: -2.576018450691392, max values: 4.0, median values: 0.1445044087076744, and quantile values: 0.25 -0.370649\n0.50 0.144504\n0.75 0.799088\nName: 238, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6463364178908181, std values: 0.9660345326061673, min values: -3.002493140275396, max values: 5.0, median values: 0.7646235944023433, and quantile values: 0.25 -0.042910\n0.50 0.764624\n0.75 1.398672\nName: 239, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5369394943165666, std values: 0.8801964310491326, min values: -2.300042081328127, max values: 4.0, median values: 0.6171435351937123, and quantile values: 0.25 -0.101376\n0.50 0.617144\n0.75 1.220403\nName: 240, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.47993843259030267, std values: 0.9262197032515542, min values: -2.8350118695332047, max values: 5.0, median values: -0.5442539159542114, and quantile values: 0.25 -1.072837\n0.50 -0.544254\n0.75 0.088271\nName: 241, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17165014592527203, std values: 0.9141414448022585, min values: -2.299460330888208, max values: 4.0, median values: 0.1266643099669326, and quantile values: 0.25 -0.543807\n0.50 0.126664\n0.75 0.827072\nName: 242, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.051033684102216904, std values: 0.7987476622103062, min values: -1.9526678640320208, max values: 4.243835016543704, median values: -0.0310843784680293, and quantile values: 0.25 -0.518968\n0.50 -0.031084\n0.75 0.551774\nName: 243, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3180747654142307, std values: 0.7482717436081322, min values: -2.0085619686347487, max values: 6.0, median values: -0.4085024174885175, and quantile values: 0.25 -0.826847\n0.50 -0.408502\n0.75 0.138913\nName: 244, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10008340770209206, std values: 1.2830699224529993, min values: -2.6072570508709387, max values: 4.0, median values: 0.1379399852074021, and quantile values: 0.25 -0.988255\n0.50 0.137940\n0.75 0.866213\nName: 245, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0740215222393681, std values: 0.791975190684989, min values: -2.5213149333948146, max values: 4.243835016543704, median values: -0.1075552518638413, and quantile values: 0.25 -0.585866\n0.50 -0.107555\n0.75 0.407365\nName: 246, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4990045582171319, std values: 1.0201615331651692, min values: -2.634919142586459, max values: 6.0, median values: 0.6852849644762588, and quantile values: 0.25 -0.048984\n0.50 0.685285\n0.75 1.188574\nName: 247, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3365084828183456, std values: 0.8898240227662905, min values: -2.855306289371099, max values: 6.0, median values: -0.362440658029694, and quantile values: 0.25 -0.844883\n0.50 -0.362441\n0.75 0.188484\nName: 248, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14868151661522044, std values: 0.8151259174955484, min values: -2.001164707410773, max values: 5.0, median values: 0.1412829959064085, and quantile values: 0.25 -0.404030\n0.50 0.141283\n0.75 0.643183\nName: 249, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11450886203548122, std values: 0.8442676207907377, min values: -2.2038853164231766, max values: 3.2936960268109283, median values: -0.1853488889712759, and quantile values: 0.25 -0.750396\n0.50 -0.185349\n0.75 0.438203\nName: 250, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3650178701443848, std values: 1.2093672784907292, min values: -2.1587143377696023, max values: 5.0, median values: 0.1396360485736483, and quantile values: 0.25 -0.536927\n0.50 0.139636\n0.75 1.232233\nName: 251, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05833167025708792, std values: 0.8583586515129216, min values: -1.9466596427739613, max values: 3.438667023696733, median values: -0.0266392369486328, and quantile values: 0.25 -0.574884\n0.50 -0.026639\n0.75 0.643928\nName: 252, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4726292562179275, std values: 0.9126798660927761, min values: -2.64479559868397, max values: 6.0, median values: -0.5471103404932759, and quantile values: 0.25 -1.06599\n0.50 -0.54711\n0.75 0.02476\nName: 253, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3206266876630922, std values: 0.8141328779418903, min values: -2.132302906574053, max values: 6.0, median values: 0.3150297480528397, and quantile values: 0.25 -0.231707\n0.50 0.315030\n0.75 0.884425\nName: 254, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13323152646422004, std values: 0.8094176851568055, min values: -2.8531572940820533, max values: 3.670892362631932, median values: -0.2157246661217545, and quantile values: 0.25 -0.650890\n0.50 -0.215725\n0.75 0.314409\nName: 255, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.029943864088302897, std values: 0.8531117669794082, min values: -2.461308921153724, max values: 3.05919958255637, median values: -0.0972013840888015, and quantile values: 0.25 -0.604640\n0.50 -0.097201\n0.75 0.503374\nName: 256, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3902936352741286, std values: 0.9461384314315756, min values: -2.6466193392086392, max values: 4.0, median values: 0.4912217587360855, and quantile values: 0.25 -0.207960\n0.50 0.491222\n0.75 1.095272\nName: 257, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08064234330242488, std values: 1.0531509437630113, min values: -2.862971749830789, max values: 3.5021977227593246, median values: 0.1662514884401165, and quantile values: 0.25 -0.647685\n0.50 0.166251\n0.75 0.935949\nName: 258, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1980468190598514, std values: 0.7995522277587203, min values: -2.7884838087481176, max values: 6.0, median values: -0.241733027904604, and quantile values: 0.25 -0.710259\n0.50 -0.241733\n0.75 0.209989\nName: 259, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.528432394214469, std values: 0.9489866735175575, min values: -2.048935494746508, max values: 3.405671179043623, median values: 0.5735842444771532, and quantile values: 0.25 -0.142859\n0.50 0.573584\n0.75 1.181681\nName: 260, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21808408428873616, std values: 0.779624265723081, min values: -2.27710446206836, max values: 3.0, median values: -0.2540842119019672, and quantile values: 0.25 -0.832240\n0.50 -0.254084\n0.75 0.334223\nName: 261, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08092034846443476, std values: 0.9788084537857508, min values: -2.693453432157769, max values: 3.281452258958016, median values: -0.0583867480937837, and quantile values: 0.25 -0.612262\n0.50 -0.058387\n0.75 0.698949\nName: 262, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04445733616353339, std values: 0.8813000514935561, min values: -2.3547127917583053, max values: 4.0, median values: -0.10896801191767, and quantile values: 0.25 -0.714056\n0.50 -0.108968\n0.75 0.573992\nName: 263, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24651450426376892, std values: 0.8193275430791548, min values: -2.09907154685446, max values: 4.0, median values: 0.1967919744213863, and quantile values: 0.25 -0.248743\n0.50 0.196792\n0.75 0.747705\nName: 264, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12770012187496263, std values: 1.0343772197640362, min values: -2.605844844843939, max values: 4.0, median values: 0.2271267253061006, and quantile values: 0.25 -0.586586\n0.50 0.227127\n0.75 0.930834\nName: 265, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36792244666098983, std values: 0.9217835412149245, min values: -2.4536054974529624, max values: 6.0, median values: -0.4853888060433122, and quantile values: 0.25 -1.107359\n0.50 -0.485389\n0.75 0.230961\nName: 266, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23899207192891467, std values: 1.0489805385285267, min values: -2.641174291463747, max values: 6.0, median values: 0.2074448081335552, and quantile values: 0.25 -0.485048\n0.50 0.207445\n0.75 0.981761\nName: 267, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4171326850148984, std values: 0.8582507057049408, min values: -2.732564679617164, max values: 3.362228250221886, median values: -0.546426821369029, and quantile values: 0.25 -1.057477\n0.50 -0.546427\n0.75 0.100135\nName: 268, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09233037350250117, std values: 0.8062539674020102, min values: -2.0763692711860644, max values: 4.0, median values: -0.0882678261218944, and quantile values: 0.25 -0.654229\n0.50 -0.088268\n0.75 0.405544\nName: 269, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49619510540383177, std values: 1.0022480036153785, min values: -2.623568901859613, max values: 4.026668017837955, median values: 0.5411359413864227, and quantile values: 0.25 -0.073712\n0.50 0.541136\n0.75 1.200093\nName: 270, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5928856573269654, std values: 0.9681531739494369, min values: -3.066111439712689, max values: 3.281452258958016, median values: 0.6521157232666044, and quantile values: 0.25 -0.102543\n0.50 0.652116\n0.75 1.273045\nName: 271, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5573366136977864, std values: 0.892401023487179, min values: -2.142854198138545, max values: 5.0, median values: 0.6073859440714459, and quantile values: 0.25 -0.053148\n0.50 0.607386\n0.75 1.157998\nName: 272, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04135164028186171, std values: 0.7920854567888608, min values: -2.5689076212724418, max values: 5.0, median values: 0.0332460743360234, and quantile values: 0.25 -0.492061\n0.50 0.033246\n0.75 0.537305\nName: 273, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09191237660979079, std values: 1.0033541326048303, min values: -2.8451834694312192, max values: 3.082096909284949, median values: 0.2597025171247156, and quantile values: 0.25 -0.518784\n0.50 0.259703\n0.75 0.776556\nName: 274, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5278064971120884, std values: 0.8583991702153816, min values: -2.39180940730784, max values: 4.0, median values: 0.6260603772999979, and quantile values: 0.25 -0.062086\n0.50 0.626060\n0.75 1.185896\nName: 275, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6764416664356225, std values: 1.1883471423921523, min values: -2.9622221028070275, max values: 4.0, median values: -0.6995965443448824, and quantile values: 0.25 -1.562400\n0.50 -0.699597\n0.75 0.177237\nName: 276, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25182763189582286, std values: 0.9237575929962214, min values: -2.72346435408924, max values: 4.0, median values: 0.2984074266496018, and quantile values: 0.25 -0.449112\n0.50 0.298407\n0.75 0.981456\nName: 277, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18125372980247978, std values: 0.7772601408299032, min values: -2.212004168819108, max values: 3.5427287984042666, median values: 0.1052731310939737, and quantile values: 0.25 -0.322515\n0.50 0.105273\n0.75 0.663478\nName: 278, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.740048876769467, std values: 1.020079716720418, min values: -2.537573835824454, max values: 6.0, median values: 0.7757751071723954, and quantile values: 0.25 0.016607\n0.50 0.775775\n0.75 1.479245\nName: 279, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09739038301112683, std values: 0.8140143576458103, min values: -1.900968897831816, max values: 6.0, median values: 0.0179290533069782, and quantile values: 0.25 -0.515322\n0.50 0.017929\n0.75 0.648181\nName: 280, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34514234123953286, std values: 0.9142769977311808, min values: -2.6320986139293034, max values: 3.867701659180865, median values: 0.3479709392700829, and quantile values: 0.25 -0.132623\n0.50 0.347971\n0.75 0.907630\nName: 281, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17179192589270206, std values: 0.8804324659403358, min values: -2.5682675825126706, max values: 5.0, median values: 0.1333262115713889, and quantile values: 0.25 -0.454419\n0.50 0.133326\n0.75 0.762256\nName: 282, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.011513607566212784, std values: 1.134193060153681, min values: -2.815821936576896, max values: 3.569037956734876, median values: 0.1993218667847802, and quantile values: 0.25 -0.565972\n0.50 0.199322\n0.75 0.763591\nName: 283, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30298662761450096, std values: 0.9186585422582996, min values: -2.5743883495350026, max values: 5.0, median values: -0.3107358604185646, and quantile values: 0.25 -0.877241\n0.50 -0.310736\n0.75 0.262613\nName: 284, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.334046722819795, std values: 0.8020990206626709, min values: -2.1212040292999417, max values: 4.0, median values: 0.3548255564513403, and quantile values: 0.25 -0.199563\n0.50 0.354826\n0.75 0.885322\nName: 285, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0002055650359790861, std values: 0.9164414401569645, min values: -3.0133870328644434, max values: 3.709787027503053, median values: 0.1201151434720561, and quantile values: 0.25 -0.673822\n0.50 0.120115\n0.75 0.667489\nName: 286, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3300666309474018, std values: 0.9204667054290443, min values: -2.102258330765142, max values: 3.0, median values: -0.4120442338877452, and quantile values: 0.25 -1.077746\n0.50 -0.412044\n0.75 0.283490\nName: 287, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16266648054250757, std values: 1.3231754708600978, min values: -2.9109251266226006, max values: 4.243835016543704, median values: -0.0462928889506348, and quantile values: 0.25 -1.245037\n0.50 -0.046293\n0.75 0.872274\nName: 288, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3180008718751503, std values: 0.9274297994374172, min values: -2.560041333834972, max values: 3.0097288687560817, median values: -0.4481982748412203, and quantile values: 0.25 -1.018876\n0.50 -0.448198\n0.75 0.258298\nName: 289, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14013498301800825, std values: 1.1281219486141478, min values: -2.6072570508709387, max values: 4.0, median values: 0.2017641916823877, and quantile values: 0.25 -0.582828\n0.50 0.201764\n0.75 1.009461\nName: 290, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10083685968761212, std values: 0.7770580557505379, min values: -2.1798712735263623, max values: 3.2071942083719924, median values: -0.0856140406085943, and quantile values: 0.25 -0.597307\n0.50 -0.085614\n0.75 0.364021\nName: 291, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07431109278374096, std values: 0.9308875144974511, min values: -2.0152308565268915, max values: 6.0, median values: -0.0614410774618404, and quantile values: 0.25 -0.600644\n0.50 -0.061441\n0.75 0.619748\nName: 292, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4944461057690646, std values: 0.9279494245508036, min values: -2.011468604219464, max values: 3.627976272701048, median values: 0.5274363973149667, and quantile values: 0.25 -0.183339\n0.50 0.527436\n0.75 1.233169\nName: 293, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12161462927041104, std values: 0.9717381354191592, min values: -2.933035609461076, max values: 5.0, median values: -0.1735648333660309, and quantile values: 0.25 -0.805315\n0.50 -0.173565\n0.75 0.529163\nName: 294, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5704757494622121, std values: 1.0592392788578604, min values: -2.92272757463548, max values: 6.0, median values: -0.6625064991204827, and quantile values: 0.25 -1.284437\n0.50 -0.662506\n0.75 0.135723\nName: 295, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15935769097700264, std values: 0.7609911715195805, min values: -2.072580019544124, max values: 3.0046625681201315, median values: -0.2365473407225439, and quantile values: 0.25 -0.707993\n0.50 -0.236547\n0.75 0.298234\nName: 296, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22217155549882212, std values: 0.9472559165164659, min values: -2.0388658839696707, max values: 4.278004674434932, median values: 0.1518829207377981, and quantile values: 0.25 -0.522758\n0.50 0.151883\n0.75 0.934909\nName: 297, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2953153430199074, std values: 0.7840521827915287, min values: -2.5825978442440407, max values: 6.0, median values: 0.3110087108466287, and quantile values: 0.25 -0.220584\n0.50 0.311009\n0.75 0.786467\nName: 298, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10108725954819112, std values: 0.912512634048316, min values: -2.63315074164461, max values: 6.0, median values: -0.0568952985705029, and quantile values: 0.25 -0.648645\n0.50 -0.056895\n0.75 0.460534\nName: 299, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3401948423241455, std values: 1.0888471383197014, min values: -2.8998169811239416, max values: 3.455472209455805, median values: 0.2971407664509214, and quantile values: 0.25 -0.370413\n0.50 0.297141\n0.75 1.025804\nName: 300, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35576176824411576, std values: 0.7850522145766391, min values: -2.1286446072196226, max values: 6.0, median values: -0.4639201787727743, and quantile values: 0.25 -0.939737\n0.50 -0.463920\n0.75 0.155382\nName: 301, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4267337493132763, std values: 1.2920233071221578, min values: -2.109891368636471, max values: 5.0, median values: 0.2210834370646784, and quantile values: 0.25 -0.623791\n0.50 0.221083\n0.75 1.544135\nName: 302, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5740102999386028, std values: 0.9649890252209532, min values: -1.9429008804110803, max values: 3.5908526919299577, median values: 0.5667891318329666, and quantile values: 0.25 -0.064472\n0.50 0.566789\n0.75 1.168225\nName: 303, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06347549246477267, std values: 0.9077216514878031, min values: -2.842989614395848, max values: 5.0, median values: -0.0838451863293977, and quantile values: 0.25 -0.613859\n0.50 -0.083845\n0.75 0.505951\nName: 304, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.059201308330802574, std values: 0.8130373445087108, min values: -1.950742600071545, max values: 3.1166497049712243, median values: -0.1433357164013452, and quantile values: 0.25 -0.647218\n0.50 -0.143336\n0.75 0.475426\nName: 305, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01948398637930105, std values: 0.7679179383176107, min values: -2.108828940494985, max values: 5.0, median values: 0.0001376965657302, and quantile values: 0.25 -0.539693\n0.50 0.000138\n0.75 0.502782\nName: 306, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15007807537833565, std values: 0.8995712254137965, min values: -2.0456684461002883, max values: 3.667275230673496, median values: 0.1773700202104537, and quantile values: 0.25 -0.525064\n0.50 0.177370\n0.75 0.875987\nName: 307, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04973027491377969, std values: 0.8242608550826662, min values: -2.62876542141649, max values: 2.8436102010648283, median values: -0.1071674730473525, and quantile values: 0.25 -0.609076\n0.50 -0.107167\n0.75 0.461147\nName: 308, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5571869833044811, std values: 0.8871892271411549, min values: -2.673549169958716, max values: 6.0, median values: -0.6488490523859122, and quantile values: 0.25 -1.198208\n0.50 -0.648849\n0.75 -0.015623\nName: 309, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03775673694138618, std values: 0.8603441576975842, min values: -2.6820581866633817, max values: 3.2936960268109283, median values: 0.0878915779576908, and quantile values: 0.25 -0.475638\n0.50 0.087892\n0.75 0.595415\nName: 310, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10272922086965398, std values: 0.9705547485969939, min values: -2.6800544037614658, max values: 4.0, median values: -0.0167722279790438, and quantile values: 0.25 -0.684000\n0.50 -0.016772\n0.75 0.582428\nName: 311, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2643048518755665, std values: 1.2382916011095169, min values: -2.815821936576896, max values: 3.5581019918925243, median values: -0.0252562348817946, and quantile values: 0.25 -0.987582\n0.50 -0.025256\n0.75 0.586586\nName: 312, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20625850719569308, std values: 0.8564004159670175, min values: -2.119621483749997, max values: 4.243835016543704, median values: -0.3077360270657179, and quantile values: 0.25 -0.845395\n0.50 -0.307736\n0.75 0.337340\nName: 313, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.026774078323147887, std values: 1.0584113399379096, min values: -2.1719217067124954, max values: 4.278004674434932, median values: -0.0951816915604677, and quantile values: 0.25 -0.821735\n0.50 -0.095182\n0.75 0.790670\nName: 314, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42488107747581305, std values: 1.1353898121454589, min values: -2.9265160609644223, max values: 6.0, median values: -0.3203927486145029, and quantile values: 0.25 -1.204433\n0.50 -0.320393\n0.75 0.386596\nName: 315, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23082117442639355, std values: 0.95860503700162, min values: -2.0688112245428205, max values: 3.5581019918925243, median values: 0.1953040700223673, and quantile values: 0.25 -0.498568\n0.50 0.195304\n0.75 1.028528\nName: 316, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2960634519981105, std values: 1.1518546881535812, min values: -2.769191083399913, max values: 3.667275230673496, median values: -0.2260812706039989, and quantile values: 0.25 -0.891861\n0.50 -0.226081\n0.75 0.511196\nName: 317, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08788712308311196, std values: 0.9221216379758735, min values: -2.605844844843939, max values: 4.0, median values: -0.0429571025056824, and quantile values: 0.25 -0.629601\n0.50 -0.042957\n0.75 0.472174\nName: 318, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09992980095279191, std values: 0.8266310893907881, min values: -2.5879430435308, max values: 3.280245386470253, median values: -0.2248948375456981, and quantile values: 0.25 -0.670149\n0.50 -0.224895\n0.75 0.365816\nName: 319, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.020921755304621547, std values: 1.1119011441690476, min values: -2.6800544037614658, max values: 4.0, median values: 0.0652317867284044, and quantile values: 0.25 -0.590712\n0.50 0.065232\n0.75 0.767799\nName: 320, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11094709915893164, std values: 0.9124461744226807, min values: -2.196181211030292, max values: 5.0, median values: -0.2232851842565025, and quantile values: 0.25 -0.783958\n0.50 -0.223285\n0.75 0.466206\nName: 321, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33622357015290816, std values: 0.7466978833166401, min values: -2.0407136277056424, max values: 3.280245386470253, median values: -0.3628143482394141, and quantile values: 0.25 -0.854167\n0.50 -0.362814\n0.75 0.096399\nName: 322, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4596015482057404, std values: 1.0814431511225013, min values: -2.8467638118011016, max values: 5.0, median values: -0.5785680208032924, and quantile values: 0.25 -1.184231\n0.50 -0.578568\n0.75 0.087749\nName: 323, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7608395211023917, std values: 1.0964679154864785, min values: -2.825926939679757, max values: 3.0, median values: -0.825716542591263, and quantile values: 0.25 -1.548185\n0.50 -0.825717\n0.75 0.002919\nName: 324, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15661448563090877, std values: 0.733825416137677, min values: -2.072108449798908, max values: 3.0, median values: 0.1960200571714312, and quantile values: 0.25 -0.339644\n0.50 0.196020\n0.75 0.632685\nName: 325, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23257755983643216, std values: 1.1351584502359398, min values: -2.5122218748354936, max values: 3.3483277116524426, median values: 0.3602272290674499, and quantile values: 0.25 -0.458505\n0.50 0.360227\n0.75 1.110249\nName: 326, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1052128056477278, std values: 0.8664818163616201, min values: -2.104667097879677, max values: 4.0, median values: 0.1475662093081248, and quantile values: 0.25 -0.563904\n0.50 0.147566\n0.75 0.786499\nName: 327, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3513721923988834, std values: 0.8306349970248622, min values: -2.737201088051888, max values: 3.047545592545638, median values: 0.3013168030196392, and quantile values: 0.25 -0.233631\n0.50 0.301317\n0.75 0.942826\nName: 328, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2827521470985069, std values: 0.7976687641107194, min values: -2.104667097879677, max values: 4.0, median values: 0.3480879740509011, and quantile values: 0.25 -0.223588\n0.50 0.348088\n0.75 0.812888\nName: 329, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2804899204540839, std values: 0.9025670998633747, min values: -2.6117120822772133, max values: 5.0, median values: 0.281964743564616, and quantile values: 0.25 -0.300236\n0.50 0.281965\n0.75 0.881656\nName: 330, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24413797725176714, std values: 0.912491860518077, min values: -2.400174455177781, max values: 4.0, median values: -0.3371655709761662, and quantile values: 0.25 -0.978742\n0.50 -0.337166\n0.75 0.392287\nName: 331, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19177923886695766, std values: 1.024366179584183, min values: -2.037986255847039, max values: 6.0, median values: -0.3604623218538315, and quantile values: 0.25 -1.006829\n0.50 -0.360462\n0.75 0.437112\nName: 332, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05710314747479475, std values: 0.9378982338634917, min values: -2.3893642989164, max values: 3.496479817235339, median values: -0.1841557564458417, and quantile values: 0.25 -0.785298\n0.50 -0.184156\n0.75 0.582428\nName: 333, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38398831772815006, std values: 0.9344748927926656, min values: -2.673549169958716, max values: 6.0, median values: -0.4388756184527655, and quantile values: 0.25 -0.950542\n0.50 -0.438876\n0.75 0.211752\nName: 334, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2429101207382601, std values: 1.0685453362911346, min values: -2.623568901859613, max values: 4.0, median values: -0.3203741988531676, and quantile values: 0.25 -1.016885\n0.50 -0.320374\n0.75 0.447219\nName: 335, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.055468909673522616, std values: 0.9207984002170425, min values: -1.9918692121535213, max values: 5.0, median values: -0.0693282291446147, and quantile values: 0.25 -0.664497\n0.50 -0.069328\n0.75 0.675425\nName: 336, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08728264025153877, std values: 0.9669411332984221, min values: -2.657750824678472, max values: 5.0, median values: 0.2174370366784884, and quantile values: 0.25 -0.412996\n0.50 0.217437\n0.75 0.712044\nName: 337, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1533318439504261, std values: 0.7512743615184815, min values: -2.010013163721834, max values: 3.17157439250477, median values: 0.213864654895672, and quantile values: 0.25 -0.338565\n0.50 0.213865\n0.75 0.647190\nName: 338, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44557181561131437, std values: 0.813760025413215, min values: -2.5689076212724418, max values: 5.0, median values: 0.5220806031399341, and quantile values: 0.25 -0.093350\n0.50 0.522081\n0.75 1.006414\nName: 339, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23335009232605441, std values: 0.9808432068612876, min values: -2.684072796644972, max values: 6.0, median values: -0.3061504591106697, and quantile values: 0.25 -0.850227\n0.50 -0.306150\n0.75 0.412067\nName: 340, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4097672422870669, std values: 0.8813317230884842, min values: -2.732564679617164, max values: 3.2328207660681025, median values: 0.4666053680893381, and quantile values: 0.25 -0.229134\n0.50 0.466605\n0.75 1.068879\nName: 341, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.029876800059063187, std values: 0.7932972302615815, min values: -2.044138536277291, max values: 3.5021977227593246, median values: -0.0245587186026378, and quantile values: 0.25 -0.509324\n0.50 -0.024559\n0.75 0.513622\nName: 342, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3764451307462354, std values: 1.2608245037313284, min values: -3.101800431129944, max values: 6.0, median values: -0.3694402458806132, and quantile values: 0.25 -1.323775\n0.50 -0.369440\n0.75 0.574883\nName: 343, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.004834114041329765, std values: 0.9167940346649737, min values: -2.1443936610614487, max values: 4.243835016543704, median values: 0.0107680794983463, and quantile values: 0.25 -0.696013\n0.50 0.010768\n0.75 0.679824\nName: 344, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32447806846799027, std values: 0.9334406158213607, min values: -2.024122085395157, max values: 3.5581019918925243, median values: 0.2656228184270209, and quantile values: 0.25 -0.384488\n0.50 0.265623\n0.75 0.999174\nName: 345, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5285244370306597, std values: 1.0063128227141793, min values: -2.5953860446419177, max values: 5.0, median values: 0.6820306081054527, and quantile values: 0.25 -0.062086\n0.50 0.682031\n0.75 1.246593\nName: 346, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10480044350248731, std values: 1.0280058659228533, min values: -2.5743883495350026, max values: 5.0, median values: 0.1446713808272149, and quantile values: 0.25 -0.578345\n0.50 0.144671\n0.75 0.858534\nName: 347, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11464506721264389, std values: 0.8261629769326642, min values: -2.209826040384377, max values: 3.867701659180865, median values: 0.1493482555146632, and quantile values: 0.25 -0.434084\n0.50 0.149348\n0.75 0.652354\nName: 348, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20686720919023605, std values: 0.8926545667921201, min values: -2.732564679617164, max values: 3.518664430018096, median values: -0.3343131346153521, and quantile values: 0.25 -0.835595\n0.50 -0.334313\n0.75 0.345397\nName: 349, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06390659751209062, std values: 0.9288842525022678, min values: -2.5569229852416258, max values: 4.0, median values: -0.0411002234298625, and quantile values: 0.25 -0.766802\n0.50 -0.041100\n0.75 0.664126\nName: 350, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22363625397401518, std values: 0.7763590951200026, min values: -2.119621483749997, max values: 3.000356517591168, median values: 0.1980442686237823, and quantile values: 0.25 -0.289967\n0.50 0.198044\n0.75 0.713666\nName: 351, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09552825404713935, std values: 0.9155659373135262, min values: -2.146975780172544, max values: 3.2266531185902125, median values: -0.1088294964593035, and quantile values: 0.25 -0.703967\n0.50 -0.108829\n0.75 0.483716\nName: 352, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21765350964214214, std values: 0.8927860363269197, min values: -2.196181211030292, max values: 3.867701659180865, median values: -0.2316890999785058, and quantile values: 0.25 -0.875363\n0.50 -0.231689\n0.75 0.323003\nName: 353, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4554968879394767, std values: 1.0091353360735587, min values: -2.5293911731823453, max values: 3.0, median values: -0.4261088041258626, and quantile values: 0.25 -1.068413\n0.50 -0.426109\n0.75 0.251727\nName: 354, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.412251225826102, std values: 0.8042882506294419, min values: -2.579723791499676, max values: 4.0, median values: -0.4300324310893371, and quantile values: 0.25 -0.946871\n0.50 -0.430032\n0.75 0.112709\nName: 355, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6500728411711236, std values: 1.5204591491210966, min values: -2.6320986139293034, max values: 4.278004674434932, median values: 0.5785582573023476, and quantile values: 0.25 -0.417440\n0.50 0.578558\n0.75 1.812525\nName: 356, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0739388235194973, std values: 0.8858850455369349, min values: -2.622709665346679, max values: 3.670892362631932, median values: -0.1639514402577413, and quantile values: 0.25 -0.765135\n0.50 -0.163951\n0.75 0.538976\nName: 357, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43917022266217887, std values: 0.9302782037402646, min values: -2.5631847770497496, max values: 4.0, median values: -0.4927252738358173, and quantile values: 0.25 -1.225795\n0.50 -0.492725\n0.75 0.226376\nName: 358, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.008412434536070388, std values: 0.8620650530473332, min values: -2.7428415536925543, max values: 5.0, median values: 0.0663357454168073, and quantile values: 0.25 -0.525001\n0.50 0.066336\n0.75 0.581140\nName: 359, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11695129771806888, std values: 0.8873735710035021, min values: -2.09925610156575, max values: 3.1801075704642923, median values: 0.0626013977643703, and quantile values: 0.25 -0.590118\n0.50 0.062601\n0.75 0.762707\nName: 360, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6666597903846042, std values: 0.9750783013076723, min values: -2.783691185534105, max values: 3.784832159836258, median values: 0.5903843777181756, and quantile values: 0.25 0.014867\n0.50 0.590384\n0.75 1.348355\nName: 361, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3942089578191207, std values: 0.892137640766043, min values: -2.226988144341872, max values: 5.0, median values: -0.5346344472573423, and quantile values: 0.25 -1.019524\n0.50 -0.534634\n0.75 0.101740\nName: 362, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44889228893369687, std values: 0.8640245774525258, min values: -2.732564679617164, max values: 3.071284484560209, median values: 0.4084724819741238, and quantile values: 0.25 -0.134697\n0.50 0.408472\n0.75 1.044477\nName: 363, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5031502096302246, std values: 0.7846271862995486, min values: -2.300042081328127, max values: 4.0, median values: 0.5650670993475602, and quantile values: 0.25 -0.000189\n0.50 0.565067\n0.75 1.026775\nName: 364, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3590042361485963, std values: 0.897213742365385, min values: -2.710223074556336, max values: 4.0, median values: -0.432117660274655, and quantile values: 0.25 -1.068587\n0.50 -0.432118\n0.75 0.241557\nName: 365, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33830881775801047, std values: 0.854076378846334, min values: -2.72346435408924, max values: 4.0, median values: -0.4302000788431474, and quantile values: 0.25 -1.021007\n0.50 -0.430200\n0.75 0.232980\nName: 366, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18185619393280117, std values: 0.8819199886619619, min values: -2.048935494746508, max values: 3.867701659180865, median values: 0.1917124161971007, and quantile values: 0.25 -0.480566\n0.50 0.191712\n0.75 0.816116\nName: 367, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4205131100569186, std values: 0.8104295028958296, min values: -2.062772413318988, max values: 3.163266084685921, median values: 0.5131842293396712, and quantile values: 0.25 -0.152034\n0.50 0.513184\n0.75 0.991992\nName: 368, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07287547395553523, std values: 0.8567635777852471, min values: -2.4823451998031074, max values: 3.0, median values: -0.0158633096162223, and quantile values: 0.25 -0.572027\n0.50 -0.015863\n0.75 0.460473\nName: 369, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3277796533185448, std values: 0.8130512970342432, min values: -2.146424125626329, max values: 5.0, median values: 0.3769692723373329, and quantile values: 0.25 -0.177837\n0.50 0.376969\n0.75 0.829090\nName: 370, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3328661253203486, std values: 0.8279205641619054, min values: -2.662750916816848, max values: 5.0, median values: 0.406946255321811, and quantile values: 0.25 -0.225236\n0.50 0.406946\n0.75 0.897120\nName: 371, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38383227148828974, std values: 0.8201958028558218, min values: -2.161181455793125, max values: 6.0, median values: 0.3916233750462138, and quantile values: 0.25 -0.145462\n0.50 0.391623\n0.75 0.933375\nName: 372, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36311700460641233, std values: 0.9900042145417154, min values: -2.641174291463747, max values: 6.0, median values: 0.4250234226588498, and quantile values: 0.25 -0.262588\n0.50 0.425023\n0.75 1.120817\nName: 373, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.028439708556657096, std values: 0.8496597333095812, min values: -2.179853905073574, max values: 6.0, median values: -0.0009453803194522, and quantile values: 0.25 -0.527315\n0.50 -0.000945\n0.75 0.565125\nName: 374, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17570299392582323, std values: 0.7775889284668135, min values: -2.5631960397140583, max values: 4.0, median values: 0.1481136124040454, and quantile values: 0.25 -0.310389\n0.50 0.148114\n0.75 0.643589\nName: 375, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35315588645153806, std values: 0.877106913079414, min values: -2.662750916816848, max values: 5.0, median values: -0.4633529409904837, and quantile values: 0.25 -1.016703\n0.50 -0.463353\n0.75 0.215356\nName: 376, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07232257615566902, std values: 0.8511807113386783, min values: -3.0223671288921072, max values: 3.397048482165858, median values: 0.1258781286136945, and quantile values: 0.25 -0.535781\n0.50 0.125878\n0.75 0.714666\nName: 377, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20592089066512306, std values: 0.7374544690269808, min values: -2.12073996675014, max values: 3.0, median values: -0.2621233466867025, and quantile values: 0.25 -0.682289\n0.50 -0.262123\n0.75 0.236839\nName: 378, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2099897406129789, std values: 0.8527857111944023, min values: -2.3893642989164, max values: 3.319774799707247, median values: 0.2621441841738149, and quantile values: 0.25 -0.399700\n0.50 0.262144\n0.75 0.834071\nName: 379, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07819135531617379, std values: 0.9221743122103212, min values: -2.608390851963037, max values: 5.0, median values: 0.1905297903538176, and quantile values: 0.25 -0.491657\n0.50 0.190530\n0.75 0.720646\nName: 380, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8467463320270788, std values: 0.8624272394184298, min values: -2.7939007019027, max values: 2.607965108401379, median values: -1.054796626953654, and quantile values: 0.25 -1.494522\n0.50 -1.054797\n0.75 -0.377550\nName: 381, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26933006604704784, std values: 0.7686787755835184, min values: -2.1227739687253626, max values: 3.9905524164385566, median values: 0.3124725771052915, and quantile values: 0.25 -0.239834\n0.50 0.312473\n0.75 0.782715\nName: 382, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28736863846468674, std values: 0.8372352449416639, min values: -2.146424125626329, max values: 3.216771431244405, median values: 0.3476644790981145, and quantile values: 0.25 -0.288144\n0.50 0.347664\n0.75 0.858777\nName: 383, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06167413689459841, std values: 0.9186280015377276, min values: -2.56026492390943, max values: 4.0, median values: 0.011982980534306, and quantile values: 0.25 -0.685554\n0.50 0.011983\n0.75 0.542211\nName: 384, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5683204497964223, std values: 1.0103512472291358, min values: -2.525362520654854, max values: 5.0, median values: 0.5614847110160774, and quantile values: 0.25 -0.192769\n0.50 0.561485\n0.75 1.351293\nName: 385, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30897320543562884, std values: 1.268204987332153, min values: -2.620939317041317, max values: 4.0, median values: 0.3569967149677395, and quantile values: 0.25 -0.716795\n0.50 0.356997\n0.75 1.443496\nName: 386, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0009611542943508938, std values: 1.0512392255339513, min values: -2.87684958111886, max values: 3.709787027503053, median values: 0.0261427394785233, and quantile values: 0.25 -0.853850\n0.50 0.026143\n0.75 0.873251\nName: 387, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0011267882473589958, std values: 0.8589774295835745, min values: -2.6652153608723106, max values: 5.0, median values: 0.0717449538108278, and quantile values: 0.25 -0.588319\n0.50 0.071745\n0.75 0.648713\nName: 388, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2914005307366989, std values: 0.8001840682684429, min values: -2.4737574649270093, max values: 3.060952636712705, median values: 0.3332136504835614, and quantile values: 0.25 -0.251357\n0.50 0.333214\n0.75 0.814038\nName: 389, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25008303337315163, std values: 1.0770279129510167, min values: -2.684072796644972, max values: 6.0, median values: -0.27144730564784, and quantile values: 0.25 -0.930615\n0.50 -0.271447\n0.75 0.527278\nName: 390, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41659302383802677, std values: 0.7308277621797178, min values: -2.4176069991382847, max values: 6.0, median values: 0.4617367460635407, and quantile values: 0.25 -0.044897\n0.50 0.461737\n0.75 0.862436\nName: 391, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03894264853857227, std values: 0.8709624012558671, min values: -2.662750916816848, max values: 5.0, median values: -0.0920443921571582, and quantile values: 0.25 -0.579378\n0.50 -0.092044\n0.75 0.617258\nName: 392, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06468941884525403, std values: 1.137994591138442, min values: -2.6820581866633817, max values: 3.670892362631932, median values: 0.0029306827489748, and quantile values: 0.25 -0.835320\n0.50 0.002931\n0.75 0.741440\nName: 393, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42764763190509963, std values: 0.8094571840014497, min values: -2.300042081328127, max values: 4.0, median values: 0.4646103721503337, and quantile values: 0.25 -0.132326\n0.50 0.464610\n0.75 0.988634\nName: 394, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7709279391956025, std values: 1.1090850447371896, min values: -2.134987510471223, max values: 6.0, median values: 0.7031795818264049, and quantile values: 0.25 -0.051641\n0.50 0.703180\n0.75 1.724250\nName: 395, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49931148860651303, std values: 0.8776055325803475, min values: -2.688157591415518, max values: 3.434669824302974, median values: -0.6290245156707786, and quantile values: 0.25 -1.135555\n0.50 -0.629025\n0.75 -0.009879\nName: 396, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1741611091254444, std values: 0.8558563875817745, min values: -2.5213149333948146, max values: 3.060952636712705, median values: -0.2665360338072923, and quantile values: 0.25 -0.758879\n0.50 -0.266536\n0.75 0.338623\nName: 397, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6857689947791182, std values: 0.9678069825756985, min values: -2.769191083399913, max values: 3.0, median values: -0.7314713129622055, and quantile values: 0.25 -1.239232\n0.50 -0.731471\n0.75 -0.082199\nName: 398, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0006258548361990249, std values: 0.8509758952159676, min values: -2.673124659932621, max values: 6.0, median values: -0.0133302552963619, and quantile values: 0.25 -0.497570\n0.50 -0.013330\n0.75 0.518941\nName: 399, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1956536216052193, std values: 0.9308161955297025, min values: -2.081148156296265, max values: 3.036311757241655, median values: -0.2928261738877528, and quantile values: 0.25 -0.949661\n0.50 -0.292826\n0.75 0.472465\nName: 400, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08085288450530213, std values: 0.7561921596819273, min values: -2.283300789406341, max values: 3.216771431244405, median values: -0.1592581868616002, and quantile values: 0.25 -0.577395\n0.50 -0.159258\n0.75 0.364933\nName: 401, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0710719186179234, std values: 1.1336508418010476, min values: -2.891990595045606, max values: 6.0, median values: 0.1278545017664527, and quantile values: 0.25 -0.730376\n0.50 0.127855\n0.75 0.960104\nName: 402, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01789814816075074, std values: 0.9844816190690453, min values: -2.26039143358266, max values: 4.0, median values: -0.0232111674184574, and quantile values: 0.25 -0.783829\n0.50 -0.023211\n0.75 0.742184\nName: 403, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2921808384839479, std values: 0.970073667099635, min values: -2.6652153608723106, max values: 5.0, median values: -0.3835722409903934, and quantile values: 0.25 -1.033986\n0.50 -0.383572\n0.75 0.392797\nName: 404, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3965923277836585, std values: 0.9491198603259108, min values: -2.63315074164461, max values: 6.0, median values: 0.4726939360197054, and quantile values: 0.25 -0.025477\n0.50 0.472694\n0.75 0.967283\nName: 405, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18856927348187016, std values: 0.7240281220418195, min values: -1.9844958671694384, max values: 3.3636961113187773, median values: 0.1967428972041474, and quantile values: 0.25 -0.267508\n0.50 0.196743\n0.75 0.635172\nName: 406, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5180210502459811, std values: 0.7989169664747507, min values: -2.2152723643263457, max values: 3.1047159712539405, median values: -0.6143153539063416, and quantile values: 0.25 -1.102057\n0.50 -0.614315\n0.75 -0.064141\nName: 407, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17064108899728167, std values: 0.7860227460308883, min values: -2.662750916816848, max values: 5.0, median values: -0.17817338496242, and quantile values: 0.25 -0.693980\n0.50 -0.178173\n0.75 0.292596\nName: 408, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0038581750147986286, std values: 1.0057481479465933, min values: -2.891990595045606, max values: 6.0, median values: 0.1294761479589112, and quantile values: 0.25 -0.619285\n0.50 0.129476\n0.75 0.703330\nName: 409, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36880418371347634, std values: 0.8220854659731004, min values: -2.156806272086999, max values: 3.2071942083719924, median values: -0.4905383189034317, and quantile values: 0.25 -0.979942\n0.50 -0.490538\n0.75 0.132020\nName: 410, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.017243218579244227, std values: 0.9248448936006586, min values: -2.6685266729136536, max values: 6.0, median values: -0.0873278736219956, and quantile values: 0.25 -0.693489\n0.50 -0.087328\n0.75 0.568927\nName: 411, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36142533503354063, std values: 0.8627001557709245, min values: -2.745904427753044, max values: 5.0, median values: -0.4638742258668199, and quantile values: 0.25 -1.039737\n0.50 -0.463874\n0.75 0.194237\nName: 412, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1450767500575624, std values: 0.7772313676616851, min values: -2.209283142861864, max values: 6.0, median values: 0.0905074405194693, and quantile values: 0.25 -0.371415\n0.50 0.090507\n0.75 0.651639\nName: 413, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25637089882851666, std values: 0.7913303070969142, min values: -2.90140378513671, max values: 2.824647942260179, median values: 0.3418916517414691, and quantile values: 0.25 -0.274644\n0.50 0.341892\n0.75 0.805021\nName: 414, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13861937291698512, std values: 0.7800035904623623, min values: -2.841647375415054, max values: 5.0, median values: 0.1751044229583155, and quantile values: 0.25 -0.425325\n0.50 0.175104\n0.75 0.700511\nName: 415, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1842205420497659, std values: 0.8745254350661835, min values: -2.372995607737588, max values: 5.0, median values: 0.2036150629276212, and quantile values: 0.25 -0.421981\n0.50 0.203615\n0.75 0.728402\nName: 416, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0885223788773747, std values: 0.8637637388268692, min values: -2.730840794324401, max values: 3.2266531185902125, median values: 0.1146892049011608, and quantile values: 0.25 -0.536600\n0.50 0.114689\n0.75 0.671934\nName: 417, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3530837194505837, std values: 0.96132097204263, min values: -2.57895707818966, max values: 6.0, median values: -0.4733369988600524, and quantile values: 0.25 -1.074209\n0.50 -0.473337\n0.75 0.232029\nName: 418, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2125624404994754, std values: 0.9135553566449406, min values: -2.3813576428502263, max values: 3.4217036547572275, median values: -0.3521579083080608, and quantile values: 0.25 -0.872766\n0.50 -0.352158\n0.75 0.363108\nName: 419, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18622860486661227, std values: 1.0051704590271833, min values: -3.071284484560209, max values: 3.8226908388056136, median values: 0.1268827756079283, and quantile values: 0.25 -0.538069\n0.50 0.126883\n0.75 0.923062\nName: 420, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39643055581860975, std values: 0.9052696899829026, min values: -2.5953860446419177, max values: 3.4217036547572275, median values: -0.48266320628384, and quantile values: 0.25 -1.045972\n0.50 -0.482663\n0.75 0.212907\nName: 421, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3901191646994075, std values: 0.942386559517437, min values: -2.009390704747527, max values: 5.0, median values: 0.4278283525678695, and quantile values: 0.25 -0.325155\n0.50 0.427828\n0.75 1.113685\nName: 422, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3746159808044372, std values: 0.7462008866169001, min values: -2.170058011928108, max values: 4.0, median values: -0.4479500898916035, and quantile values: 0.25 -0.879984\n0.50 -0.447950\n0.75 0.011209\nName: 423, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27196396273412843, std values: 1.1031311591857123, min values: -3.242093130849769, max values: 3.096891534584617, median values: -0.1100750610988235, and quantile values: 0.25 -0.864645\n0.50 -0.110075\n0.75 0.456954\nName: 424, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36459437015270063, std values: 0.757299031578106, min values: -2.90140378513671, max values: 3.1888787873512885, median values: 0.4098798474614022, and quantile values: 0.25 -0.105273\n0.50 0.409880\n0.75 0.828845\nName: 425, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2570680916062408, std values: 0.9723131685833925, min values: -2.8246479422601736, max values: 6.0, median values: -0.3133561332987252, and quantile values: 0.25 -0.814959\n0.50 -0.313356\n0.75 0.328221\nName: 426, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.016504763308596602, std values: 0.9454696960687851, min values: -2.8663054413554843, max values: 6.0, median values: -0.0114157135985995, and quantile values: 0.25 -0.530332\n0.50 -0.011416\n0.75 0.616319\nName: 427, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18154701298099132, std values: 1.0109753263640333, min values: -2.372995607737588, max values: 5.0, median values: 0.1569551967120323, and quantile values: 0.25 -0.549033\n0.50 0.156955\n0.75 0.858777\nName: 428, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1853575780067372, std values: 0.9045833160792157, min values: -2.6635706018350787, max values: 3.867701659180865, median values: 0.2412651735730634, and quantile values: 0.25 -0.436809\n0.50 0.241265\n0.75 0.761688\nName: 429, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12346168736744556, std values: 0.9059588600839569, min values: -2.679056533720636, max values: 5.0, median values: 0.1250920250556641, and quantile values: 0.25 -0.388734\n0.50 0.125092\n0.75 0.703612\nName: 430, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41210381699124254, std values: 0.9629555493060674, min values: -2.087432639025188, max values: 4.0, median values: 0.4399168106771502, and quantile values: 0.25 -0.297918\n0.50 0.439917\n0.75 1.131421\nName: 431, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04179634178451042, std values: 0.9489038217244083, min values: -2.5743883495350026, max values: 5.0, median values: 0.042034524135428, and quantile values: 0.25 -0.716284\n0.50 0.042035\n0.75 0.607419\nName: 432, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17080514071437217, std values: 0.9898574136172389, min values: -2.9666813816765707, max values: 4.0, median values: 0.3241346697305177, and quantile values: 0.25 -0.385261\n0.50 0.324135\n0.75 0.830212\nName: 433, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10823655765897879, std values: 0.8589218395027002, min values: -2.8680719719444903, max values: 2.715427846798757, median values: -0.0936879226808058, and quantile values: 0.25 -0.653820\n0.50 -0.093688\n0.75 0.390992\nName: 434, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41428659617663877, std values: 1.0820829666325262, min values: -2.096272675358738, max values: 3.9905524164385566, median values: 0.4695600014590244, and quantile values: 0.25 -0.453930\n0.50 0.469560\n0.75 1.216724\nName: 435, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3289661184707691, std values: 0.8410744649053197, min values: -2.14258071674473, max values: 3.362228250221886, median values: -0.4245411916435844, and quantile values: 0.25 -0.995280\n0.50 -0.424541\n0.75 0.229642\nName: 436, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3725924567682605, std values: 0.7546239166274749, min values: -2.349293916724472, max values: 3.0, median values: 0.3383397054872268, and quantile values: 0.25 -0.106890\n0.50 0.338340\n0.75 0.865366\nName: 437, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27910615698286195, std values: 0.9524473212735236, min values: -2.085975048264995, max values: 2.967906073290372, median values: -0.414556946423556, and quantile values: 0.25 -1.071271\n0.50 -0.414557\n0.75 0.403851\nName: 438, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1523822107319352, std values: 1.0459871380008336, min values: -2.607565022042742, max values: 4.0, median values: 0.3718963586160186, and quantile values: 0.25 -0.439578\n0.50 0.371896\n0.75 0.890591\nName: 439, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7974383115800009, std values: 1.4431252215385466, min values: -2.7211321814067784, max values: 3.9048392686725855, median values: 0.7864985334517065, and quantile values: 0.25 -0.119758\n0.50 0.786499\n0.75 2.022475\nName: 440, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37200145197420903, std values: 0.7510549411060597, min values: -2.103369962038045, max values: 5.0, median values: 0.3256152837211683, and quantile values: 0.25 -0.084428\n0.50 0.325615\n0.75 0.856964\nName: 441, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5835848769191304, std values: 0.9515703800457552, min values: -1.9242060307523308, max values: 5.0, median values: 0.644911037604259, and quantile values: 0.25 -0.078784\n0.50 0.644911\n0.75 1.336022\nName: 442, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27519733837395016, std values: 1.0020922379545951, min values: -2.14258071674473, max values: 6.0, median values: -0.4256933228675399, and quantile values: 0.25 -1.035962\n0.50 -0.425693\n0.75 0.320623\nName: 443, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0954509810049726, std values: 0.7713970334796957, min values: -2.169311742921253, max values: 6.0, median values: -0.1453114780270371, and quantile values: 0.25 -0.618151\n0.50 -0.145311\n0.75 0.391260\nName: 444, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46699786146440114, std values: 1.0078099153439077, min values: -2.579723791499676, max values: 4.0, median values: -0.5391943234907438, and quantile values: 0.25 -1.212478\n0.50 -0.539194\n0.75 0.224386\nName: 445, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05882789305722684, std values: 0.7339136896780151, min values: -2.226424194672579, max values: 4.0, median values: 0.0991434861808433, and quantile values: 0.25 -0.437718\n0.50 0.099143\n0.75 0.540107\nName: 446, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25569264959527543, std values: 0.9545482234578699, min values: -2.928515832252388, max values: 3.1801075704642923, median values: -0.1948396384955839, and quantile values: 0.25 -0.977630\n0.50 -0.194840\n0.75 0.486012\nName: 447, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.025835152135858522, std values: 0.7997115360570223, min values: -2.156806272086999, max values: 3.760287110694155, median values: -0.1173303485961013, and quantile values: 0.25 -0.558875\n0.50 -0.117330\n0.75 0.464488\nName: 448, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04025783306718456, std values: 0.8946855110311697, min values: -2.693453432157769, max values: 3.0, median values: -0.0258347491944699, and quantile values: 0.25 -0.618002\n0.50 -0.025835\n0.75 0.643352\nName: 449, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 1.042265623809231, std values: 0.9470658082960415, min values: -2.226424194672579, max values: 4.0, median values: 1.1951845289741552, and quantile values: 0.25 0.443539\n0.50 1.195185\n0.75 1.744301\nName: 450, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18391428548102426, std values: 0.8543211081226064, min values: -2.1423073955051337, max values: 6.0, median values: -0.3038249449049856, and quantile values: 0.25 -0.806162\n0.50 -0.303825\n0.75 0.356138\nName: 451, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.021058040761408204, std values: 0.7346710844281823, min values: -2.469941537133514, max values: 4.0, median values: 0.0112975334554299, and quantile values: 0.25 -0.449100\n0.50 0.011298\n0.75 0.446017\nName: 452, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5551830751773151, std values: 0.8261460273762472, min values: -1.7574352371101296, max values: 3.3636961113187773, median values: 0.6068561431796907, and quantile values: 0.25 -0.034277\n0.50 0.606856\n0.75 1.174137\nName: 453, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3388419764686175, std values: 0.8302393270464287, min values: -2.601639132009086, max values: 6.0, median values: -0.442365493264271, and quantile values: 0.25 -0.946364\n0.50 -0.442365\n0.75 0.201399\nName: 454, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2403114053675803, std values: 0.7420232063671183, min values: -1.947797115129811, max values: 3.281452258958016, median values: 0.2966515027743105, and quantile values: 0.25 -0.225721\n0.50 0.296652\n0.75 0.689991\nName: 455, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3590356102912988, std values: 0.7611406604222162, min values: -1.909594423023917, max values: 3.026950214607353, median values: 0.4158177120833341, and quantile values: 0.25 -0.136383\n0.50 0.415818\n0.75 0.874012\nName: 456, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12056979287572689, std values: 0.8733198630537357, min values: -2.6652153608723106, max values: 5.0, median values: 0.2118082308880937, and quantile values: 0.25 -0.381055\n0.50 0.211808\n0.75 0.678932\nName: 457, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31616940234001656, std values: 0.8700631389770419, min values: -2.4564928597243227, max values: 4.0, median values: -0.3952167571497263, and quantile values: 0.25 -0.982450\n0.50 -0.395217\n0.75 0.271454\nName: 458, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3409999793231936, std values: 0.9666332982583721, min values: -2.142854198138545, max values: 5.0, median values: 0.4024662947059602, and quantile values: 0.25 -0.384490\n0.50 0.402466\n0.75 1.101228\nName: 459, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12294556734849191, std values: 0.9371143240170401, min values: -2.5122218748354936, max values: 3.124705982383484, median values: 0.1599112329480065, and quantile values: 0.25 -0.420928\n0.50 0.159911\n0.75 0.708577\nName: 460, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1704877642892078, std values: 0.8285062521162454, min values: -2.025405408182953, max values: 3.258347009006034, median values: 0.1107966129505172, and quantile values: 0.25 -0.421324\n0.50 0.110797\n0.75 0.739758\nName: 461, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3915327725674534, std values: 0.9605909029323465, min values: -2.209283142861864, max values: 6.0, median values: 0.4961680178937094, and quantile values: 0.25 -0.305754\n0.50 0.496168\n0.75 1.119026\nName: 462, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25991681328308025, std values: 0.9484249005277017, min values: -2.7648443048846945, max values: 3.2071942083719924, median values: 0.2018780416432243, and quantile values: 0.25 -0.438354\n0.50 0.201878\n0.75 0.970268\nName: 463, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11119015808081771, std values: 0.7846491818844562, min values: -2.841647375415054, max values: 5.0, median values: -0.2068494931404264, and quantile values: 0.25 -0.626675\n0.50 -0.206849\n0.75 0.363226\nName: 464, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5132197369012536, std values: 0.8124824116453541, min values: -1.840016834887356, max values: 3.2936960268109283, median values: 0.5825121418674132, and quantile values: 0.25 -0.055658\n0.50 0.582512\n0.75 1.113802\nName: 465, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2697176163889186, std values: 0.8544313061724501, min values: -2.6404955031131814, max values: 6.0, median values: 0.3174951208569116, and quantile values: 0.25 -0.267107\n0.50 0.317495\n0.75 0.834305\nName: 466, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22238706776439227, std values: 1.0987906034373915, min values: -2.558791007225312, max values: 3.9905524164385566, median values: 0.2379917444396102, and quantile values: 0.25 -0.363046\n0.50 0.237992\n0.75 0.995865\nName: 467, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4935412692135639, std values: 1.0855434729909235, min values: -2.825926939679757, max values: 3.0, median values: -0.2357453493640875, and quantile values: 0.25 -1.133935\n0.50 -0.235745\n0.75 0.252466\nName: 468, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07875529048851068, std values: 0.7943333502908009, min values: -2.2915911556076085, max values: 3.760287110694155, median values: -0.1244956124748915, and quantile values: 0.25 -0.603317\n0.50 -0.124496\n0.75 0.379607\nName: 469, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.041295430931515754, std values: 0.8499720343493209, min values: -2.4705236352348297, max values: 3.0, median values: -0.0668171597390244, and quantile values: 0.25 -0.642389\n0.50 -0.066817\n0.75 0.489172\nName: 470, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20762470234280586, std values: 0.9852723527556828, min values: -2.955641696055872, max values: 2.9491070686884737, median values: 0.3255284455794922, and quantile values: 0.25 -0.391587\n0.50 0.325528\n0.75 0.961765\nName: 471, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1911065284346232, std values: 0.7781307738322678, min values: -2.45229857681487, max values: 3.5427287984042666, median values: -0.2176136230573714, and quantile values: 0.25 -0.719678\n0.50 -0.217614\n0.75 0.282211\nName: 472, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1420282248514237, std values: 0.8626114664142371, min values: -2.5039074859839925, max values: 4.0, median values: -0.2652806986492038, and quantile values: 0.25 -0.746488\n0.50 -0.265281\n0.75 0.392134\nName: 473, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.015402581978776277, std values: 0.8971539644182154, min values: -2.5953860446419177, max values: 3.0, median values: -0.0091939517610837, and quantile values: 0.25 -0.497695\n0.50 -0.009194\n0.75 0.559906\nName: 474, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26353668832356464, std values: 1.0241770865168245, min values: -2.099755160224712, max values: 4.278004674434932, median values: 0.1166728391871778, and quantile values: 0.25 -0.404235\n0.50 0.116673\n0.75 0.874856\nName: 475, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4229500782666805, std values: 0.7518020123314073, min values: -2.5213149333948146, max values: 3.0, median values: -0.5354262732007238, and quantile values: 0.25 -0.926541\n0.50 -0.535426\n0.75 -0.015450\nName: 476, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5815288611004054, std values: 0.8601900529532727, min values: -2.2915911556076085, max values: 3.0, median values: 0.6937384110399918, and quantile values: 0.25 0.004112\n0.50 0.693738\n0.75 1.191308\nName: 477, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18821359440785007, std values: 0.8034448217669184, min values: -1.943774464622537, max values: 3.721862465295849, median values: 0.1467588742167739, and quantile values: 0.25 -0.355823\n0.50 0.146759\n0.75 0.677397\nName: 478, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17435867388629855, std values: 0.7912876867917156, min values: -2.589966702820638, max values: 6.0, median values: 0.1943579130568679, and quantile values: 0.25 -0.328957\n0.50 0.194358\n0.75 0.659628\nName: 479, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.052673598746886104, std values: 1.031932133801428, min values: -2.069213147559466, max values: 3.518664430018096, median values: 0.0006058649243641, and quantile values: 0.25 -0.791565\n0.50 0.000606\n0.75 0.816578\nName: 480, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17161191014207153, std values: 0.7296722368464885, min values: -1.987212378708773, max values: 2.938308831530802, median values: 0.2066080434367517, and quantile values: 0.25 -0.309521\n0.50 0.206608\n0.75 0.669439\nName: 481, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10647509879217801, std values: 0.8234124853064624, min values: -2.1227739687253626, max values: 3.867701659180865, median values: -0.2217890080579394, and quantile values: 0.25 -0.726985\n0.50 -0.221789\n0.75 0.462210\nName: 482, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1315898038537556, std values: 0.8460769913446308, min values: -2.688157591415518, max values: 5.0, median values: -0.1964055590858802, and quantile values: 0.25 -0.740498\n0.50 -0.196406\n0.75 0.427402\nName: 483, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19307587558138664, std values: 0.7558152645233369, min values: -2.0060840029627203, max values: 3.103622965243153, median values: 0.2330974218330735, and quantile values: 0.25 -0.277983\n0.50 0.233097\n0.75 0.684898\nName: 484, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4163875700718624, std values: 0.86388304541514, min values: -2.083555534231988, max values: 5.0, median values: -0.5484558946515484, and quantile values: 0.25 -1.045238\n0.50 -0.548456\n0.75 0.077822\nName: 485, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3158760014973881, std values: 1.1446220431978007, min values: -2.406541011733012, max values: 3.5581019918925243, median values: 0.393133272849301, and quantile values: 0.25 -0.580357\n0.50 0.393133\n0.75 1.268593\nName: 486, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27399715085679305, std values: 0.8090005667958949, min values: -2.087432639025188, max values: 4.0, median values: -0.2791987701448246, and quantile values: 0.25 -0.816578\n0.50 -0.279199\n0.75 0.190478\nName: 487, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25009649812513296, std values: 1.0096567770861837, min values: -2.5293911731823453, max values: 3.0, median values: -0.1655086689818236, and quantile values: 0.25 -0.848035\n0.50 -0.165509\n0.75 0.405002\nName: 488, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04363159088115423, std values: 0.7430380987843892, min values: -1.944463693791236, max values: 3.17157439250477, median values: 0.0395016454521597, and quantile values: 0.25 -0.455213\n0.50 0.039502\n0.75 0.505190\nName: 489, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22500351697156354, std values: 1.0672878282710339, min values: -3.236860296211546, max values: 3.141939528112806, median values: -0.2852863527034175, and quantile values: 0.25 -1.042018\n0.50 -0.285286\n0.75 0.574721\nName: 490, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.47595796431967285, std values: 0.9445356858523738, min values: -2.4737574649270093, max values: 3.405671179043623, median values: -0.5426140314846886, and quantile values: 0.25 -1.236356\n0.50 -0.542614\n0.75 0.184873\nName: 491, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4067823130737056, std values: 0.9826726455915521, min values: -2.679056533720636, max values: 5.0, median values: 0.4157519719834541, and quantile values: 0.25 -0.158061\n0.50 0.415752\n0.75 1.116751\nName: 492, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2530649772430612, std values: 0.8152958298778686, min values: -2.1798712735263623, max values: 2.95782096138206, median values: -0.3673919567965693, and quantile values: 0.25 -0.853250\n0.50 -0.367392\n0.75 0.266627\nName: 493, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02157514366509845, std values: 0.8871087318900321, min values: -2.727901130262228, max values: 4.0, median values: -0.0821750247633357, and quantile values: 0.25 -0.552704\n0.50 -0.082175\n0.75 0.552884\nName: 494, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10440914264973665, std values: 0.7928280028954989, min values: -2.1154918763173005, max values: 3.0, median values: -0.1589908089240159, and quantile values: 0.25 -0.645035\n0.50 -0.158991\n0.75 0.360844\nName: 495, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06616477720515855, std values: 1.0091173898211914, min values: -2.673124659932621, max values: 6.0, median values: 0.1076024702977333, and quantile values: 0.25 -0.413357\n0.50 0.107602\n0.75 0.703694\nName: 496, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0762530798731449, std values: 1.2440577780915687, min values: -2.87684958111886, max values: 3.9048392686725855, median values: 0.3460405519959416, and quantile values: 0.25 -0.657188\n0.50 0.346041\n0.75 0.937214\nName: 497, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1614805641704232, std values: 0.9045111417859243, min values: -2.730840794324401, max values: 3.247416277295021, median values: 0.1206110437332658, and quantile values: 0.25 -0.481489\n0.50 0.120611\n0.75 0.802410\nName: 498, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22259711299749185, std values: 0.9942473691391509, min values: -1.9823496288954088, max values: 4.026668017837955, median values: 0.0658223251199449, and quantile values: 0.25 -0.493242\n0.50 0.065822\n0.75 0.836064\nName: 499, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11855021318678545, std values: 0.7872310699786971, min values: -2.73836943861057, max values: 3.405671179043623, median values: 0.1519107795929933, and quantile values: 0.25 -0.434598\n0.50 0.151911\n0.75 0.676732\nName: 500, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22734751323711258, std values: 0.9621164672019639, min values: -2.58513369695146, max values: 4.0, median values: 0.3200259110809696, and quantile values: 0.25 -0.402876\n0.50 0.320026\n0.75 0.960251\nName: 501, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3348725226538803, std values: 0.9787212022132958, min values: -2.1519703158873136, max values: 3.2696814875916886, median values: 0.3182482466822296, and quantile values: 0.25 -0.339992\n0.50 0.318248\n0.75 0.982641\nName: 502, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4570064141910414, std values: 1.0143216688230963, min values: -2.042843860363569, max values: 5.0, median values: 0.5022475351549652, and quantile values: 0.25 -0.296283\n0.50 0.502248\n0.75 1.287419\nName: 503, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22743296480506783, std values: 0.9312570684314415, min values: -2.572123985342288, max values: 5.0, median values: -0.3424970776566965, and quantile values: 0.25 -0.899965\n0.50 -0.342497\n0.75 0.348556\nName: 504, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2899790903996174, std values: 0.8991772852622749, min values: -2.153087536306035, max values: 5.0, median values: -0.4296397713438667, and quantile values: 0.25 -0.972844\n0.50 -0.429640\n0.75 0.296623\nName: 505, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21108347326075538, std values: 0.8097202109516751, min values: -2.1222500742240245, max values: 3.1227871431249503, median values: -0.3228133043937869, and quantile values: 0.25 -0.810285\n0.50 -0.322813\n0.75 0.281768\nName: 506, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03166024223283223, std values: 0.8648227991026253, min values: -2.281230016647441, max values: 3.047545592545638, median values: 0.0333544693584599, and quantile values: 0.25 -0.606922\n0.50 0.033354\n0.75 0.626693\nName: 507, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.055954773778903816, std values: 1.0077958451754712, min values: -2.634919142586459, max values: 6.0, median values: -0.0717686492411753, and quantile values: 0.25 -0.792859\n0.50 -0.071769\n0.75 0.642709\nName: 508, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14442503469091417, std values: 0.7530877201338535, min values: -2.076845029664644, max values: 5.0, median values: -0.156123330582308, and quantile values: 0.25 -0.670036\n0.50 -0.156123\n0.75 0.343575\nName: 509, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05422182788502529, std values: 0.8237785515882659, min values: -2.8164291268114208, max values: 4.0, median values: 0.0858351661159952, and quantile values: 0.25 -0.484057\n0.50 0.085835\n0.75 0.592567\nName: 510, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.027372363734601227, std values: 0.8704001234596994, min values: -2.8680719719444903, max values: 3.082096909284949, median values: 0.0349269488424337, and quantile values: 0.25 -0.508504\n0.50 0.034927\n0.75 0.585343\nName: 511, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.015001157997537982, std values: 0.9326760951929556, min values: -2.673124659932621, max values: 6.0, median values: -0.0517353652065354, and quantile values: 0.25 -0.599193\n0.50 -0.051735\n0.75 0.616600\nName: 512, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08026214374260884, std values: 0.7040378428074087, min values: -1.95930647282486, max values: 6.0, median values: -0.1108835533445943, and quantile values: 0.25 -0.558041\n0.50 -0.110884\n0.75 0.353330\nName: 513, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0835054502262856, std values: 0.9970067858894878, min values: -2.6603025395856053, max values: 5.0, median values: -0.1675588517420807, and quantile values: 0.25 -0.760278\n0.50 -0.167559\n0.75 0.590516\nName: 514, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2897127309846765, std values: 0.9980225383664872, min values: -2.5201815750705507, max values: 4.0, median values: 0.3963741958720201, and quantile values: 0.25 -0.156175\n0.50 0.396374\n0.75 0.902073\nName: 515, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05192653306817259, std values: 0.9425441648770585, min values: -2.0604470366149066, max values: 6.0, median values: -0.0217218176773502, and quantile values: 0.25 -0.712032\n0.50 -0.021722\n0.75 0.701885\nName: 516, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3377661193999665, std values: 0.9119102766282648, min values: -2.687115288423959, max values: 5.0, median values: -0.4933667655751244, and quantile values: 0.25 -0.988981\n0.50 -0.493367\n0.75 0.166079\nName: 517, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06382857060625756, std values: 0.8143454069709996, min values: -2.4540853055744134, max values: 3.667275230673496, median values: 0.0195541583384063, and quantile values: 0.25 -0.485916\n0.50 0.019554\n0.75 0.553931\nName: 518, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24823479381427593, std values: 0.8619720629298946, min values: -2.919359491767569, max values: 6.0, median values: 0.2909007537985656, and quantile values: 0.25 -0.310638\n0.50 0.290901\n0.75 0.787099\nName: 519, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08513340498760319, std values: 0.9012439783140614, min values: -3.074005993202373, max values: 3.438667023696733, median values: 0.014772102522614, and quantile values: 0.25 -0.509261\n0.50 0.014772\n0.75 0.570818\nName: 520, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24526515902928547, std values: 1.0702321425119297, min values: -2.590643619371846, max values: 4.0, median values: -0.2802436539967982, and quantile values: 0.25 -0.960453\n0.50 -0.280244\n0.75 0.517428\nName: 521, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0688904584379786, std values: 1.3124469472732134, min values: -2.727901130262228, max values: 4.0, median values: -1.698650509722466, and quantile values: 0.25 -2.141488\n0.50 -1.698651\n0.75 -0.015918\nName: 522, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06886062807605967, std values: 1.0253194886693457, min values: -2.6117120822772133, max values: 5.0, median values: -0.1604412354637236, and quantile values: 0.25 -0.863773\n0.50 -0.160441\n0.75 0.687648\nName: 523, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13707369380550347, std values: 0.8257197648256617, min values: -2.086403915961116, max values: 5.0, median values: -0.2620016768243928, and quantile values: 0.25 -0.693804\n0.50 -0.262002\n0.75 0.389175\nName: 524, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14216315400929308, std values: 1.0802534101322898, min values: -2.869671295224012, max values: 6.0, median values: 0.1819446459393805, and quantile values: 0.25 -0.631340\n0.50 0.181945\n0.75 1.018506\nName: 525, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05504976814950184, std values: 0.8309879741037852, min values: -2.687115288423959, max values: 5.0, median values: -0.0884337081644891, and quantile values: 0.25 -0.581952\n0.50 -0.088434\n0.75 0.494327\nName: 526, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4303084103122064, std values: 0.8413952221190559, min values: -2.0202919896885287, max values: 5.0, median values: 0.5361600437189258, and quantile values: 0.25 -0.154307\n0.50 0.536160\n0.75 1.005300\nName: 527, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13988977120041704, std values: 0.978236445496723, min values: -2.673124659932621, max values: 6.0, median values: -0.1030413850225938, and quantile values: 0.25 -0.712032\n0.50 -0.103041\n0.75 0.467865\nName: 528, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08405944407967181, std values: 0.8826369937094533, min values: -2.087919489660226, max values: 4.0, median values: -0.1737902298427847, and quantile values: 0.25 -0.764919\n0.50 -0.173790\n0.75 0.512894\nName: 529, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03937156661641145, std values: 0.946942111397302, min values: -2.622709665346679, max values: 3.3483277116524426, median values: -0.0280937944401045, and quantile values: 0.25 -0.649785\n0.50 -0.028094\n0.75 0.572319\nName: 530, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26533306321697925, std values: 0.971845565435014, min values: -2.1296382068987767, max values: 4.0, median values: -0.4432779140923157, and quantile values: 0.25 -1.011775\n0.50 -0.443278\n0.75 0.360372\nName: 531, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21903338732250877, std values: 0.8874343201547232, min values: -2.788272971802125, max values: 6.0, median values: 0.2689540073754224, and quantile values: 0.25 -0.221747\n0.50 0.268954\n0.75 0.723434\nName: 532, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03431611786310376, std values: 0.9145982543388648, min values: -2.9265160609644223, max values: 6.0, median values: 0.0610650478377227, and quantile values: 0.25 -0.615886\n0.50 0.061065\n0.75 0.619060\nName: 533, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22726331136828487, std values: 0.9491686498967735, min values: -2.251272701204948, max values: 6.0, median values: -0.3888688915776043, and quantile values: 0.25 -0.904723\n0.50 -0.388869\n0.75 0.308038\nName: 534, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0596128167503779, std values: 1.038438690489894, min values: -2.593790922131131, max values: 6.0, median values: -0.1655565900576622, and quantile values: 0.25 -0.833019\n0.50 -0.165557\n0.75 0.624632\nName: 535, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08769043249813786, std values: 0.9000017102612203, min values: -2.9109251266226006, max values: 3.397048482165858, median values: 0.195949711087339, and quantile values: 0.25 -0.366254\n0.50 0.195950\n0.75 0.700617\nName: 536, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26356781528499534, std values: 0.9540672800325848, min values: -2.510124273981921, max values: 3.0, median values: -0.3173503096239138, and quantile values: 0.25 -0.848232\n0.50 -0.317350\n0.75 0.343177\nName: 537, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44432347589260046, std values: 1.0025123679460752, min values: -2.3748395305908354, max values: 6.0, median values: -0.580480164595223, and quantile values: 0.25 -1.282132\n0.50 -0.580480\n0.75 0.206463\nName: 538, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15211731603637482, std values: 0.990873061791232, min values: -2.684072796644972, max values: 6.0, median values: 0.3084715079637553, and quantile values: 0.25 -0.383245\n0.50 0.308472\n0.75 0.814996\nName: 539, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13354270136499743, std values: 1.1448790414102308, min values: -2.673124659932621, max values: 6.0, median values: 0.0127510474683535, and quantile values: 0.25 -0.902059\n0.50 0.012751\n0.75 0.711435\nName: 540, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.470466083322892, std values: 1.220043643623009, min values: -2.949186837165601, max values: 4.0, median values: -0.4409023754044014, and quantile values: 0.25 -1.215859\n0.50 -0.440902\n0.75 0.367466\nName: 541, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39442659498423455, std values: 1.0407000106133715, min values: -2.825926939679757, max values: 3.630507857092792, median values: -0.4971649565934621, and quantile values: 0.25 -1.116222\n0.50 -0.497165\n0.75 0.282665\nName: 542, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3858150255092674, std values: 1.1650566106630729, min values: -2.928515832252388, max values: 3.0, median values: -0.2890053688522985, and quantile values: 0.25 -1.064823\n0.50 -0.289005\n0.75 0.464420\nName: 543, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24305701369992866, std values: 0.9266073081741681, min values: -3.071284484560209, max values: 3.721862465295849, median values: -0.2709330305298141, and quantile values: 0.25 -0.842053\n0.50 -0.270933\n0.75 0.374250\nName: 544, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3419073384923361, std values: 0.9651878211138403, min values: -2.730840794324401, max values: 4.243835016543704, median values: 0.4535637829111574, and quantile values: 0.25 -0.314484\n0.50 0.453564\n0.75 1.064453\nName: 545, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3583137547623956, std values: 0.8025061242039454, min values: -2.3344113078233786, max values: 3.141939528112806, median values: 0.4273758647330914, and quantile values: 0.25 -0.191628\n0.50 0.427376\n0.75 0.961152\nName: 546, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3578328021606446, std values: 0.8876860899821021, min values: -2.673549169958716, max values: 6.0, median values: -0.4032095005082726, and quantile values: 0.25 -0.947302\n0.50 -0.403210\n0.75 0.150241\nName: 547, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.020837929503741987, std values: 0.8250797310306912, min values: -2.3184884946917497, max values: 6.0, median values: -0.0657285582196626, and quantile values: 0.25 -0.530445\n0.50 -0.065729\n0.75 0.545354\nName: 548, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23671000877398873, std values: 0.9515817319341016, min values: -2.7871422803648627, max values: 3.415255285860171, median values: 0.1844442283209704, and quantile values: 0.25 -0.440933\n0.50 0.184444\n0.75 0.907380\nName: 549, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03815956941424919, std values: 0.7788995865956585, min values: -2.0262628134849465, max values: 3.5021977227593246, median values: 0.0367599316702601, and quantile values: 0.25 -0.465368\n0.50 0.036760\n0.75 0.534793\nName: 550, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15640861690962782, std values: 0.7835320529615233, min values: -2.264034258932616, max values: 3.0, median values: -0.1682012449808073, and quantile values: 0.25 -0.703577\n0.50 -0.168201\n0.75 0.349724\nName: 551, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3892730691527565, std values: 0.7941980257887081, min values: -2.841647375415054, max values: 5.0, median values: -0.486628470783128, and quantile values: 0.25 -0.926251\n0.50 -0.486628\n0.75 0.064093\nName: 552, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3694440330600229, std values: 1.1147142838764872, min values: -2.221075353514828, max values: 3.8226908388056136, median values: 0.2381617301345983, and quantile values: 0.25 -0.376104\n0.50 0.238162\n0.75 1.077575\nName: 553, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16226121560670717, std values: 0.783551842521137, min values: -3.2266531185902174, max values: 3.784832159836258, median values: 0.156258219145359, and quantile values: 0.25 -0.354200\n0.50 0.156258\n0.75 0.662418\nName: 554, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.057683781999721635, std values: 0.9346048583631654, min values: -2.5293911731823453, max values: 3.0, median values: 0.1797584440114687, and quantile values: 0.25 -0.523105\n0.50 0.179758\n0.75 0.684620\nName: 555, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.009716404651708213, std values: 0.7299727912551077, min values: -2.4176069991382847, max values: 6.0, median values: 0.0085648310742974, and quantile values: 0.25 -0.468387\n0.50 0.008565\n0.75 0.444091\nName: 556, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4089862144584014, std values: 0.9631767922056933, min values: -2.264034258932616, max values: 3.569037956734876, median values: -0.5435452891554571, and quantile values: 0.25 -1.193499\n0.50 -0.543545\n0.75 0.225745\nName: 557, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27282674831250325, std values: 1.0629514273917555, min values: -2.7016525309724218, max values: 4.278004674434932, median values: 0.1372021230494884, and quantile values: 0.25 -0.543436\n0.50 0.137202\n0.75 0.997690\nName: 558, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24881673896488188, std values: 0.8882141944475245, min values: -2.0424002644031765, max values: 3.390469008396469, median values: 0.3375139385684333, and quantile values: 0.25 -0.348744\n0.50 0.337514\n0.75 0.878870\nName: 559, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21432369362412595, std values: 1.090502317715154, min values: -2.860922438481449, max values: 2.8170694285457287, median values: -0.2146307048273751, and quantile values: 0.25 -1.063870\n0.50 -0.214631\n0.75 0.596488\nName: 560, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28447490372946593, std values: 0.7732237201381558, min values: -2.152471989006844, max values: 5.0, median values: 0.323467174462778, and quantile values: 0.25 -0.229990\n0.50 0.323467\n0.75 0.829323\nName: 561, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08800946295106295, std values: 1.0083424631909865, min values: -3.0133870328644434, max values: 3.630507857092792, median values: 0.0772671062023052, and quantile values: 0.25 -0.559970\n0.50 0.077267\n0.75 0.698225\nName: 562, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5790218909941359, std values: 1.1034216621788782, min values: -3.0133870328644434, max values: 3.5021977227593246, median values: 0.6555942036575165, and quantile values: 0.25 -0.173231\n0.50 0.655594\n0.75 1.444837\nName: 563, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28291620409019175, std values: 1.0172534912438127, min values: -2.374446373878101, max values: 4.0, median values: 0.2060943590594597, and quantile values: 0.25 -0.500479\n0.50 0.206094\n0.75 0.983561\nName: 564, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0711713029545058, std values: 0.8855349878113332, min values: -2.5825978442440407, max values: 6.0, median values: -0.0416560408393774, and quantile values: 0.25 -0.694821\n0.50 -0.041656\n0.75 0.507130\nName: 565, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4061337368275006, std values: 0.8242035220291253, min values: -2.2915911556076085, max values: 4.278004674434932, median values: -0.5310795477003736, and quantile values: 0.25 -0.990292\n0.50 -0.531080\n0.75 0.047878\nName: 566, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.47966901084984215, std values: 0.9394511444096426, min values: -2.5953860446419177, max values: 3.1801075704642923, median values: -0.622858852628625, and quantile values: 0.25 -1.237777\n0.50 -0.622859\n0.75 0.163329\nName: 567, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16168718723821474, std values: 0.8906132381988892, min values: -2.732564679617164, max values: 3.362228250221886, median values: -0.0955413341823795, and quantile values: 0.25 -0.711961\n0.50 -0.095541\n0.75 0.381615\nName: 568, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05764661840399792, std values: 0.9396109136037073, min values: -2.213370846893144, max values: 3.5021977227593246, median values: 0.1401645334832375, and quantile values: 0.25 -0.590962\n0.50 0.140165\n0.75 0.737386\nName: 569, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09819041053331441, std values: 0.91379349105082, min values: -1.9699298801385488, max values: 5.0, median values: 0.0207661344547483, and quantile values: 0.25 -0.595572\n0.50 0.020766\n0.75 0.739634\nName: 570, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10273120059269898, std values: 0.864228348550444, min values: -2.2038853164231766, max values: 4.0, median values: 0.1773700202104537, and quantile values: 0.25 -0.550043\n0.50 0.177370\n0.75 0.774034\nName: 571, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23652069011056742, std values: 0.9234709365796885, min values: -2.105967784650795, max values: 4.0, median values: 0.318740772696016, and quantile values: 0.25 -0.407694\n0.50 0.318741\n0.75 0.872420\nName: 572, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06131079084594187, std values: 0.7488807557754119, min values: -1.946974117229094, max values: 3.025409039429847, median values: 0.0301622004598461, and quantile values: 0.25 -0.441610\n0.50 0.030162\n0.75 0.529136\nName: 573, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.325437009659767, std values: 0.7926424510183971, min values: -2.017754962508897, max values: 5.0, median values: 0.3971924411357989, and quantile values: 0.25 -0.220632\n0.50 0.397192\n0.75 0.884693\nName: 574, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15216357473387382, std values: 0.9897207979316409, min values: -2.558791007225312, max values: 3.3014869995452325, median values: -0.1201627548403351, and quantile values: 0.25 -0.822431\n0.50 -0.120163\n0.75 0.489172\nName: 575, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39461916223878185, std values: 0.8782188955813474, min values: -2.6899145007874274, max values: 4.243835016543704, median values: 0.4937395525341139, and quantile values: 0.25 -0.197129\n0.50 0.493740\n0.75 1.012372\nName: 576, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3014316328928604, std values: 0.8497458509864778, min values: -2.275531026921315, max values: 6.0, median values: 0.3297179629159852, and quantile values: 0.25 -0.254485\n0.50 0.329718\n0.75 0.827887\nName: 577, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3407676961950032, std values: 0.8434198136344214, min values: -2.147228856409125, max values: 3.2696814875916886, median values: -0.3993927954290743, and quantile values: 0.25 -1.023167\n0.50 -0.399393\n0.75 0.240803\nName: 578, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2769844046317481, std values: 0.9713837310529547, min values: -2.3462601766091806, max values: 3.0, median values: -0.3698203652217103, and quantile values: 0.25 -1.081426\n0.50 -0.369820\n0.75 0.399359\nName: 579, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13127247371937997, std values: 0.8983189798609583, min values: -2.7939007019027, max values: 3.32433157891547, median values: -0.0993334955495845, and quantile values: 0.25 -0.736810\n0.50 -0.099333\n0.75 0.421247\nName: 580, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06755899478387606, std values: 0.7418190482977288, min values: -2.1536471558383585, max values: 3.709787027503053, median values: -0.0898438042452611, and quantile values: 0.25 -0.546287\n0.50 -0.089844\n0.75 0.381645\nName: 581, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2817947435078974, std values: 0.980922256581412, min values: -2.981718296512785, max values: 5.0, median values: -0.1604551080175782, and quantile values: 0.25 -0.817568\n0.50 -0.160455\n0.75 0.342673\nName: 582, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2445648818083058, std values: 0.86795476396592, min values: -2.622709665346679, max values: 3.0, median values: -0.285819359202598, and quantile values: 0.25 -0.802638\n0.50 -0.285819\n0.75 0.263855\nName: 583, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6542521522214655, std values: 0.8844668656420798, min values: -2.4737574649270093, max values: 3.721862465295849, median values: 0.6640377288099086, and quantile values: 0.25 0.099581\n0.50 0.664038\n0.75 1.208642\nName: 584, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3670441336940061, std values: 0.9171245232790749, min values: -2.867984306888309, max values: 3.3337116327022187, median values: 0.3630464599002414, and quantile values: 0.25 -0.223733\n0.50 0.363046\n0.75 0.915489\nName: 585, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24327193240785527, std values: 0.8889460923465481, min values: -2.590643619371846, max values: 4.0, median values: -0.2932861360521911, and quantile values: 0.25 -0.847381\n0.50 -0.293286\n0.75 0.337836\nName: 586, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02304968017999774, std values: 0.8949298085001033, min values: -2.7510671817729784, max values: 6.0, median values: 0.0869900267550439, and quantile values: 0.25 -0.465776\n0.50 0.086990\n0.75 0.534444\nName: 587, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1453332618088866, std values: 0.9328204782847653, min values: -2.90140378513671, max values: 4.243835016543704, median values: 0.1768664758791212, and quantile values: 0.25 -0.524685\n0.50 0.176866\n0.75 0.782705\nName: 588, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12981157531119483, std values: 0.8127020886449532, min values: -2.226424194672579, max values: 4.0, median values: 0.0898161535945322, and quantile values: 0.25 -0.448655\n0.50 0.089816\n0.75 0.702665\nName: 589, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4098354894341238, std values: 0.9149253952400282, min values: -2.19697260423487, max values: 2.7858057493199664, median values: -0.4642097151982022, and quantile values: 0.25 -1.181349\n0.50 -0.464210\n0.75 0.186610\nName: 590, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35933480842443744, std values: 0.7668396432912389, min values: -1.8828320085202608, max values: 5.0, median values: 0.4201881671385412, and quantile values: 0.25 -0.108934\n0.50 0.420188\n0.75 0.842113\nName: 591, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5514377790570725, std values: 1.2929576499875854, min values: -2.5743883495350026, max values: 5.0, median values: 0.872758011976235, and quantile values: 0.25 -0.194911\n0.50 0.872758\n0.75 1.497781\nName: 592, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22565769673357794, std values: 0.8316079149850273, min values: -2.048935494746508, max values: 3.236860296211547, median values: -0.3042864200561744, and quantile values: 0.25 -0.809605\n0.50 -0.304286\n0.75 0.278827\nName: 593, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.019005733076896587, std values: 0.7494014443974107, min values: -2.8998169811239416, max values: 2.909025160955454, median values: -0.0541411889271817, and quantile values: 0.25 -0.521864\n0.50 -0.054141\n0.75 0.449081\nName: 594, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33935037757788794, std values: 0.8559677108054972, min values: -2.091430750756192, max values: 4.0, median values: 0.4132368506548502, and quantile values: 0.25 -0.239097\n0.50 0.413237\n0.75 0.954048\nName: 595, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4039544469887266, std values: 0.743612729221995, min values: -2.4176069991382847, max values: 6.0, median values: 0.4419485092721512, and quantile values: 0.25 -0.046766\n0.50 0.441949\n0.75 0.869860\nName: 596, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04798349877556586, std values: 1.1534495589867986, min values: -2.891990595045606, max values: 6.0, median values: 0.26412964140718, and quantile values: 0.25 -0.588943\n0.50 0.264130\n0.75 0.898373\nName: 597, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02925841790873597, std values: 0.752182604691761, min values: -2.783691185534105, max values: 3.0838352979250487, median values: 0.032694988618765, and quantile values: 0.25 -0.562742\n0.50 0.032695\n0.75 0.508854\nName: 598, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2533926274144508, std values: 0.7999530494981542, min values: -2.2355336051365327, max values: 4.0, median values: 0.2212864355332179, and quantile values: 0.25 -0.242073\n0.50 0.221286\n0.75 0.735446\nName: 599, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21254876325697666, std values: 0.8344985979344156, min values: -2.346475851786639, max values: 5.0, median values: 0.2622581938864122, and quantile values: 0.25 -0.395658\n0.50 0.262258\n0.75 0.825678\nName: 600, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15492256205782087, std values: 0.7736461853003768, min values: -2.174843621473063, max values: 3.155170554159904, median values: -0.175964654472023, and quantile values: 0.25 -0.650924\n0.50 -0.175965\n0.75 0.298629\nName: 601, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1211098434245115, std values: 0.8691372932231638, min values: -2.4705236352348297, max values: 3.670892362631932, median values: -0.258383765085929, and quantile values: 0.25 -0.757588\n0.50 -0.258384\n0.75 0.433176\nName: 602, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.290890481161585, std values: 0.8332966026582638, min values: -2.560041333834972, max values: 3.2936960268109283, median values: 0.3699215961504961, and quantile values: 0.25 -0.268930\n0.50 0.369922\n0.75 0.885322\nName: 603, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20562449160864754, std values: 0.824536471443721, min values: -2.571478354688597, max values: 5.0, median values: 0.2853109689181399, and quantile values: 0.25 -0.337714\n0.50 0.285311\n0.75 0.802051\nName: 604, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6170125598309694, std values: 1.0268531473107534, min values: -2.982771139679002, max values: 4.0, median values: -0.5245901136744099, and quantile values: 0.25 -1.278116\n0.50 -0.524590\n0.75 0.028590\nName: 605, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2906904837586623, std values: 0.7484098995460854, min values: -2.191559373369988, max values: 3.247416277295021, median values: -0.3542390442850973, and quantile values: 0.25 -0.811816\n0.50 -0.354239\n0.75 0.135485\nName: 606, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09226735800847215, std values: 0.8184624479713614, min values: -2.025405408182953, max values: 3.0, median values: 0.1122866975282549, and quantile values: 0.25 -0.507130\n0.50 0.112287\n0.75 0.652444\nName: 607, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2634441222536253, std values: 0.79833818742611, min values: -2.2915911556076085, max values: 3.260388056018088, median values: 0.2026499755930237, and quantile values: 0.25 -0.277281\n0.50 0.202650\n0.75 0.793247\nName: 608, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.9086315073517537, std values: 1.106458254916706, min values: -2.196708653609315, max values: 6.0, median values: 0.980384001798342, and quantile values: 0.25 0.116069\n0.50 0.980384\n0.75 1.861569\nName: 609, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21175264055724574, std values: 0.8501402597546269, min values: -2.860922438481449, max values: 3.415255285860171, median values: -0.2658227237955354, and quantile values: 0.25 -0.752810\n0.50 -0.265823\n0.75 0.325093\nName: 610, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.024136869056695036, std values: 0.799133215309194, min values: -2.536941606705235, max values: 6.0, median values: 0.0417892978164539, and quantile values: 0.25 -0.536600\n0.50 0.041789\n0.75 0.599885\nName: 611, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28277063189681473, std values: 0.8283750461148774, min values: -2.087432639025188, max values: 6.0, median values: 0.317365275700764, and quantile values: 0.25 -0.307042\n0.50 0.317365\n0.75 0.898851\nName: 612, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.015285452145153944, std values: 0.7625333811660185, min values: -2.5825978442440407, max values: 6.0, median values: 0.0161430676662793, and quantile values: 0.25 -0.484831\n0.50 0.016143\n0.75 0.479426\nName: 613, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14327421028665668, std values: 0.7460348887165944, min values: -2.6850842010492566, max values: 6.0, median values: 0.1291318113520346, and quantile values: 0.25 -0.318409\n0.50 0.129132\n0.75 0.600247\nName: 614, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24154418976358621, std values: 0.8456465864002323, min values: -2.4564928597243227, max values: 4.0, median values: 0.280809063043135, and quantile values: 0.25 -0.365799\n0.50 0.280809\n0.75 0.820907\nName: 615, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09627235252746812, std values: 0.9563429646009809, min values: -2.662750916816848, max values: 5.0, median values: 0.1976062950291659, and quantile values: 0.25 -0.549610\n0.50 0.197606\n0.75 0.826947\nName: 616, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12791471221268536, std values: 0.7977773764555397, min values: -2.265877866499521, max values: 3.3483277116524426, median values: -0.1946304443907949, and quantile values: 0.25 -0.695634\n0.50 -0.194630\n0.75 0.358456\nName: 617, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1951273893194776, std values: 0.9817265107380788, min values: -2.4176069991382847, max values: 6.0, median values: 0.1798884192449178, and quantile values: 0.25 -0.512139\n0.50 0.179888\n0.75 0.950542\nName: 618, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2555175922314928, std values: 0.9937019057117443, min values: -2.933035609461076, max values: 5.0, median values: -0.2534324164068875, and quantile values: 0.25 -1.012878\n0.50 -0.253432\n0.75 0.446696\nName: 619, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1036795022204591, std values: 0.8376651676239993, min values: -2.7871422803648627, max values: 3.721862465295849, median values: 0.0340875556935093, and quantile values: 0.25 -0.462587\n0.50 0.034088\n0.75 0.672210\nName: 620, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2893675162141139, std values: 0.7644761582692126, min values: -1.9811722310795352, max values: 5.0, median values: 0.2322162866365148, and quantile values: 0.25 -0.222918\n0.50 0.232216\n0.75 0.804172\nName: 621, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3277753686555378, std values: 0.905536029677921, min values: -2.608390851963037, max values: 5.0, median values: -0.2580894767482907, and quantile values: 0.25 -0.934266\n0.50 -0.258089\n0.75 0.328895\nName: 622, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1320466880656914, std values: 1.070597042446502, min values: -2.673124659932621, max values: 6.0, median values: 0.1525595929712827, and quantile values: 0.25 -0.620893\n0.50 0.152560\n0.75 0.905346\nName: 623, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1498650123959286, std values: 0.7235012487376197, min values: -2.662750916816848, max values: 5.0, median values: -0.1602396452940904, and quantile values: 0.25 -0.654053\n0.50 -0.160240\n0.75 0.302041\nName: 624, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3793460625208602, std values: 1.0421354395629276, min values: -3.124705982383478, max values: 3.0089865423056903, median values: -0.2881725261666122, and quantile values: 0.25 -0.997180\n0.50 -0.288173\n0.75 0.259295\nName: 625, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14237246883446242, std values: 0.8093067687698997, min values: -2.0567990530927305, max values: 6.0, median values: -0.2345368524513366, and quantile values: 0.25 -0.693859\n0.50 -0.234537\n0.75 0.345982\nName: 626, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42775296083958064, std values: 1.1160585080639946, min values: -2.837386543755612, max values: 5.0, median values: -0.3373638238686297, and quantile values: 0.25 -1.309381\n0.50 -0.337364\n0.75 0.430019\nName: 627, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7968129158145582, std values: 0.8413154610612978, min values: -2.264034258932616, max values: 3.025409039429847, median values: 0.9328039642181843, and quantile values: 0.25 0.276251\n0.50 0.932804\n0.75 1.395536\nName: 628, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2816827554275424, std values: 1.042917951599697, min values: -2.5859127503381347, max values: 3.8226908388056136, median values: 0.4483809767323298, and quantile values: 0.25 -0.284385\n0.50 0.448381\n0.75 1.031661\nName: 629, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37690069358184236, std values: 0.7963175540562383, min values: -2.710223074556336, max values: 4.026668017837955, median values: 0.4210178675261979, and quantile values: 0.25 -0.111074\n0.50 0.421018\n0.75 0.880401\nName: 630, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30849676963640643, std values: 0.957506968196717, min values: -2.841647375415054, max values: 5.0, median values: -0.4791875103448, and quantile values: 0.25 -1.053558\n0.50 -0.479188\n0.75 0.308653\nName: 631, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2720589292066221, std values: 0.9561014994878386, min values: -2.6660404517971856, max values: 4.0, median values: -0.3122988631055647, and quantile values: 0.25 -0.903942\n0.50 -0.312299\n0.75 0.368024\nName: 632, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5094889462740616, std values: 1.0275762477447656, min values: -2.0884920198234647, max values: 4.0, median values: 0.3851425034066928, and quantile values: 0.25 -0.169799\n0.50 0.385143\n0.75 1.227475\nName: 633, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5270759547881179, std values: 0.8472583140671781, min values: -2.517362258384545, max values: 2.681211720754445, median values: -0.663301300311901, and quantile values: 0.25 -1.195693\n0.50 -0.663301\n0.75 0.025201\nName: 634, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6153742346455027, std values: 0.9507079076280328, min values: -2.748993280390358, max values: 2.9797100147087403, median values: -0.7320430996935847, and quantile values: 0.25 -1.404230\n0.50 -0.732043\n0.75 0.010494\nName: 635, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2918465361284758, std values: 0.9300542913188139, min values: -2.4657737907743, max values: 3.397048482165858, median values: 0.4006729599905662, and quantile values: 0.25 -0.375495\n0.50 0.400673\n0.75 0.996410\nName: 636, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06404205483678782, std values: 0.8319694716487324, min values: -2.0258339246740453, max values: 3.627976272701048, median values: 0.0612990031407139, and quantile values: 0.25 -0.508236\n0.50 0.061299\n0.75 0.633830\nName: 637, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15272788812215907, std values: 0.8437296502961282, min values: -3.124705982383478, max values: 3.2696814875916886, median values: 0.2129630979340352, and quantile values: 0.25 -0.452763\n0.50 0.212963\n0.75 0.737964\nName: 638, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.551242140992725, std values: 0.8314421609293458, min values: -2.0926957556498853, max values: 4.243835016543704, median values: -0.6873377447206017, and quantile values: 0.25 -1.179427\n0.50 -0.687338\n0.75 -0.057368\nName: 639, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03950279601137431, std values: 0.7858090243927972, min values: -2.17105492102825, max values: 5.0, median values: 0.1007160458042771, and quantile values: 0.25 -0.470695\n0.50 0.100716\n0.75 0.556430\nName: 640, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05051403795385728, std values: 0.8133467974169969, min values: -2.56026492390943, max values: 4.0, median values: -0.0260954543432075, and quantile values: 0.25 -0.620954\n0.50 -0.026095\n0.75 0.484336\nName: 641, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3394773767241691, std values: 1.1332114960069968, min values: -2.7542003929097176, max values: 5.0, median values: 0.5307941778368936, and quantile values: 0.25 -0.433573\n0.50 0.530794\n0.75 1.207073\nName: 642, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14799323847558474, std values: 0.807773496633009, min values: -2.0531592997310795, max values: 4.0, median values: -0.2395785457461561, and quantile values: 0.25 -0.732479\n0.50 -0.239579\n0.75 0.371213\nName: 643, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22895734135859086, std values: 0.9534000321198753, min values: -2.7542003929097176, max values: 5.0, median values: -0.2095837941660199, and quantile values: 0.25 -0.751367\n0.50 -0.209584\n0.75 0.373011\nName: 644, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2373882742109477, std values: 0.837864912746727, min values: -2.212004168819108, max values: 3.867701659180865, median values: -0.3042864200561744, and quantile values: 0.25 -0.868830\n0.50 -0.304286\n0.75 0.310240\nName: 645, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2205557912486473, std values: 0.9194305220139144, min values: -2.8531572940820533, max values: 3.0, median values: -0.3636674530235604, and quantile values: 0.25 -0.868072\n0.50 -0.363667\n0.75 0.329364\nName: 646, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1887733903782579, std values: 0.8073088490733064, min values: -2.035794058295153, max values: 3.090297571450676, median values: -0.3043676144764296, and quantile values: 0.25 -0.755542\n0.50 -0.304368\n0.75 0.314050\nName: 647, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4621295080112917, std values: 1.0563590229818958, min values: -2.6668673616981367, max values: 4.0, median values: -0.419981649689837, and quantile values: 0.25 -1.182180\n0.50 -0.419982\n0.75 0.241676\nName: 648, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3743949079312091, std values: 1.0043047420316242, min values: -2.1688149006136235, max values: 4.0, median values: -0.4735749374354888, and quantile values: 0.25 -1.217571\n0.50 -0.473575\n0.75 0.305152\nName: 649, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11095628830929262, std values: 0.9099812384994419, min values: -2.066019572692439, max values: 3.5908526919299577, median values: 0.050954397786593, and quantile values: 0.25 -0.555805\n0.50 0.050954\n0.75 0.741966\nName: 650, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.149500074045251, std values: 0.7905041530135875, min values: -2.2386103711793384, max values: 6.0, median values: 0.1341727810833683, and quantile values: 0.25 -0.382657\n0.50 0.134173\n0.75 0.583352\nName: 651, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3797332093241304, std values: 0.9681270850899102, min values: -2.4105024411864138, max values: 3.096891534584617, median values: 0.5256332563976371, and quantile values: 0.25 -0.250305\n0.50 0.525633\n0.75 1.045931\nName: 652, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42261622657186265, std values: 0.8158329321799695, min values: -2.579952672199424, max values: 6.0, median values: 0.4679261555095407, and quantile values: 0.25 -0.073499\n0.50 0.467926\n0.75 0.963515\nName: 653, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20077280771082975, std values: 0.7407266065282933, min values: -2.7648443048846945, max values: 3.05919958255637, median values: -0.1988982450424537, and quantile values: 0.25 -0.678932\n0.50 -0.198898\n0.75 0.218008\nName: 654, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2760659963508848, std values: 0.8613686859662839, min values: -2.065321917779895, max values: 3.3760121766849016, median values: 0.2982587739428911, and quantile values: 0.25 -0.307750\n0.50 0.298259\n0.75 0.830489\nName: 655, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13255616192722328, std values: 0.847041084738572, min values: -2.87684958111886, max values: 3.9048392686725855, median values: -0.0710341095714965, and quantile values: 0.25 -0.708881\n0.50 -0.071034\n0.75 0.445186\nName: 656, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06425699324848864, std values: 0.972046981404174, min values: -2.6466193392086392, max values: 4.0, median values: 0.2084860374342503, and quantile values: 0.25 -0.504752\n0.50 0.208486\n0.75 0.703753\nName: 657, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27818734705539455, std values: 0.966488454179662, min values: -2.045960343889241, max values: 3.0, median values: 0.299988884491048, and quantile values: 0.25 -0.463046\n0.50 0.299989\n0.75 1.056485\nName: 658, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4574306676217934, std values: 0.8935723270374009, min values: -2.5544460869462697, max values: 4.0, median values: -0.628619958747449, and quantile values: 0.25 -1.106647\n0.50 -0.628620\n0.75 0.045428\nName: 659, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18167019908242663, std values: 0.7750005722068264, min values: -2.7884838087481176, max values: 6.0, median values: 0.1149261905519984, and quantile values: 0.25 -0.331603\n0.50 0.114926\n0.75 0.695935\nName: 660, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1887489157983629, std values: 0.8269499916144822, min values: -2.525362520654854, max values: 5.0, median values: 0.1523204858217108, and quantile values: 0.25 -0.359287\n0.50 0.152320\n0.75 0.697743\nName: 661, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18503853102315668, std values: 0.8118356440401688, min values: -2.060926614662576, max values: 3.2266531185902125, median values: -0.1690951250272176, and quantile values: 0.25 -0.750862\n0.50 -0.169095\n0.75 0.318103\nName: 662, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0341705019408552, std values: 0.7727297607802459, min values: -2.579723791499676, max values: 4.0, median values: -0.0266392369486328, and quantile values: 0.25 -0.460412\n0.50 -0.026639\n0.75 0.497615\nName: 663, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5525433519703249, std values: 0.8646055505921204, min values: -2.607565022042742, max values: 4.0, median values: -0.6082140994778944, and quantile values: 0.25 -1.191020\n0.50 -0.608214\n0.75 -0.046695\nName: 664, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6642532239806765, std values: 1.143653198614575, min values: -2.778044916685896, max values: 3.528773265847577, median values: 0.7714533710147585, and quantile values: 0.25 -0.013992\n0.50 0.771453\n0.75 1.535473\nName: 665, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12212842489598766, std values: 0.8174387292009252, min values: -2.0446222759012818, max values: 4.0, median values: 0.0417270060012198, and quantile values: 0.25 -0.447793\n0.50 0.041727\n0.75 0.672192\nName: 666, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.049982417009090487, std values: 0.8015139133316619, min values: -2.090799501270592, max values: 3.5021977227593246, median values: -0.0343240390453425, and quantile values: 0.25 -0.518563\n0.50 -0.034324\n0.75 0.560228\nName: 667, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10908936994371712, std values: 0.9374153294312966, min values: -2.641174291463747, max values: 6.0, median values: -0.1826599771917389, and quantile values: 0.25 -0.70530\n0.50 -0.18266\n0.75 0.44476\nName: 668, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18509422791086302, std values: 0.7677003290826091, min values: -1.971458270160132, max values: 4.0, median values: 0.1419168530219288, and quantile values: 0.25 -0.329468\n0.50 0.141917\n0.75 0.661300\nName: 669, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24035721731911192, std values: 1.083498678032127, min values: -2.6404955031131814, max values: 6.0, median values: 0.1194460305890955, and quantile values: 0.25 -0.559551\n0.50 0.119446\n0.75 1.031581\nName: 670, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6030043318712581, std values: 1.2444921031291842, min values: -2.855306289371099, max values: 6.0, median values: 0.7350747003996438, and quantile values: 0.25 -0.150336\n0.50 0.735075\n0.75 1.568492\nName: 671, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47303677215692164, std values: 1.0698540508528875, min values: -2.191559373369988, max values: 5.0, median values: 0.3498244856239765, and quantile values: 0.25 -0.270647\n0.50 0.349824\n0.75 1.236002\nName: 672, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4846622198638288, std values: 1.0789656321691825, min values: -2.64479559868397, max values: 6.0, median values: -0.5960923392062147, and quantile values: 0.25 -1.424369\n0.50 -0.596092\n0.75 0.292679\nName: 673, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38944961385394017, std values: 1.0162796628795268, min values: -2.916688926075616, max values: 6.0, median values: -0.4921916465396909, and quantile values: 0.25 -1.110205\n0.50 -0.492192\n0.75 0.300459\nName: 674, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12004338752025558, std values: 0.7874067708296909, min values: -2.179853905073574, max values: 6.0, median values: 0.1136510815328995, and quantile values: 0.25 -0.392568\n0.50 0.113651\n0.75 0.616485\nName: 675, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08415170459103408, std values: 0.887568276643888, min values: -2.2362547117935176, max values: 4.0, median values: 0.0834306492573962, and quantile values: 0.25 -0.590975\n0.50 0.083431\n0.75 0.810974\nName: 676, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15421210451721776, std values: 0.7838645315028172, min values: -2.5774281843044924, max values: 6.0, median values: 0.1612452018162258, and quantile values: 0.25 -0.359786\n0.50 0.161245\n0.75 0.669451\nName: 677, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33708891427337534, std values: 0.9152511673038126, min values: -2.783691185534105, max values: 3.709787027503053, median values: 0.3763779931237508, and quantile values: 0.25 -0.349171\n0.50 0.376378\n0.75 1.074539\nName: 678, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4371225936755579, std values: 0.9438286920335138, min values: -2.4125199145038643, max values: 3.5581019918925243, median values: 0.53453913881839, and quantile values: 0.25 -0.197185\n0.50 0.534539\n0.75 1.087341\nName: 679, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04808203279977956, std values: 0.8343916069960697, min values: -1.933674563769897, max values: 3.867701659180865, median values: 0.0758685767952283, and quantile values: 0.25 -0.544230\n0.50 0.075869\n0.75 0.600502\nName: 680, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08834260786144657, std values: 0.8698910084424384, min values: -2.688157591415518, max values: 5.0, median values: -0.1114062286642146, and quantile values: 0.25 -0.753626\n0.50 -0.111406\n0.75 0.525795\nName: 681, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7644801036877938, std values: 0.872152129736262, min values: -2.944950884974346, max values: 3.2266531185902125, median values: -0.907182881914444, and quantile values: 0.25 -1.480587\n0.50 -0.907183\n0.75 -0.234725\nName: 682, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1795867933012717, std values: 1.1056129445331864, min values: -2.63315074164461, max values: 6.0, median values: 0.2270303294088297, and quantile values: 0.25 -0.582204\n0.50 0.227030\n0.75 1.019617\nName: 683, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27711582461304385, std values: 0.9087009919373806, min values: -2.116008317253216, max values: 5.0, median values: 0.217751645713091, and quantile values: 0.25 -0.349639\n0.50 0.217752\n0.75 0.909396\nName: 684, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17790560273474343, std values: 0.8904390201297041, min values: -2.5213149333948146, max values: 3.721862465295849, median values: 0.1759154588229136, and quantile values: 0.25 -0.503723\n0.50 0.175915\n0.75 0.888178\nName: 685, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1525443841890177, std values: 0.799227225731232, min values: -2.299460330888208, max values: 4.0, median values: -0.2614140563290349, and quantile values: 0.25 -0.753969\n0.50 -0.261414\n0.75 0.377590\nName: 686, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09626085485901763, std values: 0.7763285260683347, min values: -2.580492024304656, max values: 3.155379154255993, median values: -0.0693168415695424, and quantile values: 0.25 -0.624766\n0.50 -0.069317\n0.75 0.397213\nName: 687, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4548086633728332, std values: 1.232051885439764, min values: -2.955641696055872, max values: 2.928515832252385, median values: -0.4842570745221802, and quantile values: 0.25 -1.541183\n0.50 -0.484257\n0.75 0.508531\nName: 688, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17477262164009405, std values: 1.057217757856803, min values: -3.101800431129944, max values: 6.0, median values: -0.1355215631605997, and quantile values: 0.25 -0.715657\n0.50 -0.135522\n0.75 0.521780\nName: 689, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0837347204802293, std values: 0.8557616919774239, min values: -2.687282238908512, max values: 3.3483277116524426, median values: -0.1316592857395079, and quantile values: 0.25 -0.677594\n0.50 -0.131659\n0.75 0.453930\nName: 690, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5177108749297565, std values: 0.9357607081541784, min values: -2.5832619696830608, max values: 6.0, median values: 0.5927927182271736, and quantile values: 0.25 -0.143456\n0.50 0.592793\n0.75 1.251339\nName: 691, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.00026976548459637273, std values: 0.9814478333521169, min values: -2.525881048269423, max values: 3.4217036547572275, median values: -0.0053650582514581, and quantile values: 0.25 -0.791759\n0.50 -0.005365\n0.75 0.710066\nName: 692, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02726086702046685, std values: 0.9820571643610134, min values: -1.943410324985109, max values: 6.0, median values: -0.0455657864817882, and quantile values: 0.25 -0.789562\n0.50 -0.045566\n0.75 0.714147\nName: 693, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33612209066568893, std values: 1.0569709412046533, min values: -2.643887016977268, max values: 6.0, median values: 0.4392399815563909, and quantile values: 0.25 -0.158321\n0.50 0.439240\n0.75 0.972933\nName: 694, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2897475744519134, std values: 0.9482991419918542, min values: -2.5156802245814003, max values: 4.0, median values: -0.3600803061863158, and quantile values: 0.25 -1.042344\n0.50 -0.360080\n0.75 0.407006\nName: 695, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10534029458108443, std values: 0.943991706542857, min values: -2.9622221028070275, max values: 6.0, median values: 0.2118744040147675, and quantile values: 0.25 -0.485947\n0.50 0.211874\n0.75 0.790633\nName: 696, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 1.1472612379046627, std values: 1.2101473890215224, min values: -2.134987510471223, max values: 5.0, median values: 1.2564271740837942, and quantile values: 0.25 0.232757\n0.50 1.256427\n0.75 2.131844\nName: 697, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1675879190009769, std values: 1.0827541838503103, min values: -2.5820330744015787, max values: 4.0, median values: -0.0918782495846333, and quantile values: 0.25 -0.892726\n0.50 -0.091878\n0.75 0.712257\nName: 698, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17198104963526023, std values: 0.9315016192678511, min values: -2.6412681606926487, max values: 3.0, median values: 0.2816696404560333, and quantile values: 0.25 -0.440568\n0.50 0.281670\n0.75 0.866488\nName: 699, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24372329640472282, std values: 0.8307518997485923, min values: -2.72346435408924, max values: 4.0, median values: 0.3028826495180194, and quantile values: 0.25 -0.367672\n0.50 0.302883\n0.75 0.849006\nName: 700, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.410471130902196, std values: 1.0621622041777765, min values: -2.679056533720636, max values: 5.0, median values: -0.3303522503613356, and quantile values: 0.25 -1.156374\n0.50 -0.330352\n0.75 0.311133\nName: 701, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12461615171871451, std values: 0.9063891775240371, min values: -2.8246479422601736, max values: 6.0, median values: -0.1715977262948164, and quantile values: 0.25 -0.661924\n0.50 -0.171598\n0.75 0.439865\nName: 702, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36704957898282925, std values: 0.8551028057686052, min values: -2.300042081328127, max values: 4.0, median values: 0.4562208718438871, and quantile values: 0.25 -0.256746\n0.50 0.456221\n0.75 1.024764\nName: 703, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22685073138808226, std values: 1.092182928141313, min values: -2.867984306888309, max values: 3.630507857092792, median values: 0.3885852917890323, and quantile values: 0.25 -0.281548\n0.50 0.388585\n0.75 0.922049\nName: 704, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05170522415604156, std values: 0.8640176389940992, min values: -2.6429806126251503, max values: 5.0, median values: -0.0113464404356354, and quantile values: 0.25 -0.643284\n0.50 -0.011346\n0.75 0.489979\nName: 705, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.283120459771861, std values: 0.9265524967926018, min values: -2.4125199145038643, max values: 4.0, median values: 0.2266423222517813, and quantile values: 0.25 -0.354474\n0.50 0.226642\n0.75 0.848701\nName: 706, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.581389511436717, std values: 0.8128728305274545, min values: -1.923768145361491, max values: 3.1106274661862763, median values: 0.6715700125295583, and quantile values: 0.25 0.035065\n0.50 0.671570\n0.75 1.157859\nName: 707, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4764039222313476, std values: 0.8453418191173263, min values: -2.7211321814067784, max values: 3.258347009006034, median values: -0.6402114915265348, and quantile values: 0.25 -1.106100\n0.50 -0.640211\n0.75 0.050836\nName: 708, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14150433982148575, std values: 0.8295938148102675, min values: -2.1047747435038886, max values: 3.349054967837474, median values: -0.239854129397178, and quantile values: 0.25 -0.728649\n0.50 -0.239854\n0.75 0.411658\nName: 709, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03144736293739334, std values: 0.8034574975671106, min values: -2.044138536277291, max values: 2.6643995073348794, median values: -0.0110985710090491, and quantile values: 0.25 -0.621221\n0.50 -0.011099\n0.75 0.506381\nName: 710, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6838576916582232, std values: 0.9898107406981286, min values: -2.9265160609644223, max values: 6.0, median values: -0.725725556528883, and quantile values: 0.25 -1.326676\n0.50 -0.725726\n0.75 -0.060900\nName: 711, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03486881272353348, std values: 0.838450673983084, min values: -2.5825978442440407, max values: 6.0, median values: -0.0435534194453611, and quantile values: 0.25 -0.602711\n0.50 -0.043553\n0.75 0.612689\nName: 712, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.46234439934971233, std values: 0.9331808760612748, min values: -2.57895707818966, max values: 6.0, median values: 0.5845016203689989, and quantile values: 0.25 -0.123877\n0.50 0.584502\n0.75 1.163654\nName: 713, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7619790646236659, std values: 0.9842763652273145, min values: -2.33985300214946, max values: 3.569037956734876, median values: 0.9137650877585628, and quantile values: 0.25 0.061773\n0.50 0.913765\n0.75 1.557986\nName: 714, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17326080514008163, std values: 0.8312683462703432, min values: -2.203621660323128, max values: 4.0, median values: -0.2133732438094138, and quantile values: 0.25 -0.751008\n0.50 -0.213373\n0.75 0.328201\nName: 715, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1139769116737154, std values: 0.8448184717349838, min values: -2.521882829270847, max values: 4.0, median values: 0.1838913373558827, and quantile values: 0.25 -0.420859\n0.50 0.183891\n0.75 0.674623\nName: 716, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.019094909633523827, std values: 0.8307878228653561, min values: -2.5501488616953263, max values: 3.362228250221886, median values: 0.0492742392839884, and quantile values: 0.25 -0.481071\n0.50 0.049274\n0.75 0.481118\nName: 717, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28021590642601324, std values: 0.9270632847594373, min values: -2.739804196611005, max values: 6.0, median values: -0.3315152391692919, and quantile values: 0.25 -1.003265\n0.50 -0.331515\n0.75 0.356843\nName: 718, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11096649332017426, std values: 0.8780067890311495, min values: -1.9902700503252555, max values: 3.036311757241655, median values: -0.1897837537067761, and quantile values: 0.25 -0.841896\n0.50 -0.189784\n0.75 0.553122\nName: 719, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7013174260875479, std values: 1.1291268858793715, min values: -2.030572340113053, max values: 5.0, median values: 0.5994833214085898, and quantile values: 0.25 -0.135633\n0.50 0.599483\n0.75 1.663410\nName: 720, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1620075816186527, std values: 0.8871181314740353, min values: -2.56026492390943, max values: 4.0, median values: -0.2353322615013211, and quantile values: 0.25 -0.753457\n0.50 -0.235332\n0.75 0.405492\nName: 721, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14201658747269166, std values: 0.9523885255411214, min values: -2.4737574649270093, max values: 3.518664430018096, median values: 0.0536447608843693, and quantile values: 0.25 -0.517713\n0.50 0.053645\n0.75 0.764376\nName: 722, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09150454177604694, std values: 0.9266298960727322, min values: -2.620939317041317, max values: 3.379902545505621, median values: -0.0126684228559412, and quantile values: 0.25 -0.548538\n0.50 -0.012668\n0.75 0.692369\nName: 723, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3297483140926346, std values: 0.7543835376766876, min values: -2.0763692711860644, max values: 6.0, median values: -0.4335996164327256, and quantile values: 0.25 -0.854048\n0.50 -0.433600\n0.75 0.098217\nName: 724, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08702861722338827, std values: 1.1184459611419748, min values: -2.622709665346679, max values: 3.528773265847577, median values: 0.2886357521376696, and quantile values: 0.25 -0.554206\n0.50 0.288636\n0.75 0.829711\nName: 725, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.015404549337541438, std values: 0.8875503179030241, min values: -2.801183634509044, max values: 5.0, median values: -0.0196178969974126, and quantile values: 0.25 -0.629056\n0.50 -0.019618\n0.75 0.569531\nName: 726, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49993593418691984, std values: 0.8776246598173352, min values: -2.4667631869175337, max values: 5.0, median values: -0.6331227564445213, and quantile values: 0.25 -1.164724\n0.50 -0.633123\n0.75 0.060968\nName: 727, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7845969446711674, std values: 1.2574635194210189, min values: -2.5743883495350026, max values: 5.0, median values: 0.8222649909904653, and quantile values: 0.25 0.002121\n0.50 0.822265\n0.75 1.775090\nName: 728, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29099912899564045, std values: 0.8961207708310999, min values: -2.0541697243810204, max values: 4.0, median values: 0.3868813769142118, and quantile values: 0.25 -0.376535\n0.50 0.386881\n0.75 0.984939\nName: 729, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5008628674342361, std values: 0.9840068898457663, min values: -2.5689076212724418, max values: 5.0, median values: 0.5327822616520526, and quantile values: 0.25 -0.253376\n0.50 0.532782\n0.75 1.330389\nName: 730, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3402808388736856, std values: 0.8383846830982132, min values: -2.5906203367024587, max values: 3.598076523509904, median values: -0.3547375718497114, and quantile values: 0.25 -0.894205\n0.50 -0.354738\n0.75 0.182137\nName: 731, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5218781255144909, std values: 0.9229071049837786, min values: -2.087432639025188, max values: 4.0, median values: 0.601237474103795, and quantile values: 0.25 -0.160609\n0.50 0.601237\n0.75 1.262487\nName: 732, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2177009770632135, std values: 0.9646994279192044, min values: -2.564449278715455, max values: 3.3483277116524426, median values: 0.2565259574700225, and quantile values: 0.25 -0.491657\n0.50 0.256526\n0.75 0.948338\nName: 733, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07151192670531697, std values: 0.8038956847562136, min values: -2.4823451998031074, max values: 3.3337116327022187, median values: -0.0675514847988199, and quantile values: 0.25 -0.606360\n0.50 -0.067551\n0.75 0.398318\nName: 734, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2657849913373303, std values: 0.9624455951511229, min values: -2.788272971802125, max values: 6.0, median values: -0.3343631207605193, and quantile values: 0.25 -0.958080\n0.50 -0.334363\n0.75 0.407066\nName: 735, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5047604056015502, std values: 0.9494086353787101, min values: -2.737201088051888, max values: 3.630507857092792, median values: 0.4216498730385176, and quantile values: 0.25 -0.120888\n0.50 0.421650\n0.75 1.098075\nName: 736, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14161478009182096, std values: 0.8754488351691571, min values: -2.349293916724472, max values: 3.312693232344632, median values: -0.1383848399047569, and quantile values: 0.25 -0.859733\n0.50 -0.138385\n0.75 0.498551\nName: 737, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1659027282217677, std values: 0.8282269247214632, min values: -2.0692886635397403, max values: 3.477886732511886, median values: 0.1980837162796705, and quantile values: 0.25 -0.399120\n0.50 0.198084\n0.75 0.709055\nName: 738, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03922013978604995, std values: 1.3032494484615753, min values: -2.610097161345549, max values: 4.0, median values: 0.2743628921710759, and quantile values: 0.25 -0.924365\n0.50 0.274363\n0.75 0.984673\nName: 739, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14720537928749236, std values: 0.8817565998271358, min values: -2.104667097879677, max values: 4.0, median values: 0.1751323877919046, and quantile values: 0.25 -0.443591\n0.50 0.175132\n0.75 0.673496\nName: 740, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10152289684286517, std values: 0.8145027629183484, min values: -2.1293723359889083, max values: 3.306454397423372, median values: 0.0003580110774149, and quantile values: 0.25 -0.465377\n0.50 0.000358\n0.75 0.634402\nName: 741, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32161339088148444, std values: 1.220394940651978, min values: -3.0960472541202715, max values: 6.0, median values: -0.3905461747827922, and quantile values: 0.25 -1.218458\n0.50 -0.390546\n0.75 0.532983\nName: 742, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33634561845387395, std values: 0.8573753192665139, min values: -2.9029979285382743, max values: 3.528773265847577, median values: -0.4293075725243671, and quantile values: 0.25 -0.937965\n0.50 -0.429308\n0.75 0.197662\nName: 743, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34498816260676274, std values: 0.9477692388506971, min values: -2.5293911731823453, max values: 3.0, median values: -0.3169676171583392, and quantile values: 0.25 -0.960139\n0.50 -0.316968\n0.75 0.247402\nName: 744, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4730621398265134, std values: 0.981125922144681, min values: -2.8327898928872086, max values: 4.0, median values: -0.5101997064482816, and quantile values: 0.25 -1.221182\n0.50 -0.510200\n0.75 0.227176\nName: 745, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2519784960971402, std values: 0.8605920017121454, min values: -2.102760548955074, max values: 3.667275230673496, median values: 0.1934909208342849, and quantile values: 0.25 -0.330236\n0.50 0.193491\n0.75 0.824820\nName: 746, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4704315857105541, std values: 1.0458269260401687, min values: -2.4823451998031074, max values: 3.670892362631932, median values: 0.4252042847682216, and quantile values: 0.25 -0.149738\n0.50 0.425204\n0.75 1.197337\nName: 747, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1129167284200911, std values: 0.8924507266150771, min values: -2.5820330744015787, max values: 4.0, median values: -0.0674397849561731, and quantile values: 0.25 -0.730437\n0.50 -0.067440\n0.75 0.541930\nName: 748, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2946172158576024, std values: 0.95987543235303, min values: -2.497627580948261, max values: 3.0418703198091483, median values: 0.3277358376465413, and quantile values: 0.25 -0.160790\n0.50 0.327736\n0.75 0.885182\nName: 749, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4810887662502131, std values: 0.8074707887652528, min values: -2.556631690482005, max values: 3.0, median values: 0.5580961291411852, and quantile values: 0.25 -0.051880\n0.50 0.558096\n0.75 1.053393\nName: 750, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38934279240213615, std values: 0.790698329802851, min values: -1.8729174398661723, max values: 5.0, median values: 0.4042609247088208, and quantile values: 0.25 -0.143671\n0.50 0.404261\n0.75 0.898196\nName: 751, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6209249482822212, std values: 1.315766159607444, min values: -2.153431671709198, max values: 4.278004674434932, median values: 0.4069761722136221, and quantile values: 0.25 -0.450483\n0.50 0.406976\n0.75 1.829639\nName: 752, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.010946354822467108, std values: 0.7504181440807551, min values: -2.732564679617164, max values: 3.0, median values: 0.003635197330089, and quantile values: 0.25 -0.507644\n0.50 0.003635\n0.75 0.460963\nName: 753, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41099856189765505, std values: 0.7565199231391744, min values: -2.981718296512785, max values: 5.0, median values: 0.4433039886785304, and quantile values: 0.25 -0.016899\n0.50 0.443304\n0.75 0.863205\nName: 754, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32065323875476215, std values: 1.0291323767421618, min values: -2.4105024411864138, max values: 3.163266084685921, median values: -0.3917947912565138, and quantile values: 0.25 -1.176872\n0.50 -0.391795\n0.75 0.404016\nName: 755, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17332648038743198, std values: 0.7642310505414783, min values: -2.1558924048879446, max values: 3.9048392686725855, median values: -0.1872263184964513, and quantile values: 0.25 -0.677327\n0.50 -0.187226\n0.75 0.288689\nName: 756, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28272452843393264, std values: 0.9532353040226674, min values: -3.242093130849769, max values: 3.306454397423372, median values: 0.4083678412342647, and quantile values: 0.25 -0.326525\n0.50 0.408368\n0.75 0.983101\nName: 757, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35375009476616004, std values: 0.8351225801086604, min values: -2.12073996675014, max values: 4.278004674434932, median values: 0.2921363787255022, and quantile values: 0.25 -0.129493\n0.50 0.292136\n0.75 0.783725\nName: 758, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.656559317209547, std values: 0.9401054704473031, min values: -2.4407667004368325, max values: 4.0, median values: -0.7909182742069643, and quantile values: 0.25 -1.421863\n0.50 -0.790918\n0.75 -0.058196\nName: 759, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18582651906592404, std values: 0.8929523613264494, min values: -2.783691185534105, max values: 3.2936960268109283, median values: 0.1840322763427832, and quantile values: 0.25 -0.509888\n0.50 0.184032\n0.75 0.907796\nName: 760, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10440253684604554, std values: 0.8068084149785882, min values: -2.58513369695146, max values: 3.434669824302974, median values: -0.1539944195419566, and quantile values: 0.25 -0.670948\n0.50 -0.153994\n0.75 0.387136\nName: 761, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1771353285531247, std values: 0.9036842531905678, min values: -2.887007053971579, max values: 3.5581019918925243, median values: 0.2608903018467277, and quantile values: 0.25 -0.346685\n0.50 0.260890\n0.75 0.757670\nName: 762, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8259477889685558, std values: 0.9524026009978479, min values: -2.536941606705235, max values: 4.0, median values: 0.9258880941278196, and quantile values: 0.25 0.144838\n0.50 0.925888\n0.75 1.592640\nName: 763, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0338485025308323, std values: 1.023546702813238, min values: -2.842043939794492, max values: 3.241738645014612, median values: -0.0192396735449844, and quantile values: 0.25 -0.668168\n0.50 -0.019240\n0.75 0.746743\nName: 764, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2181026863346853, std values: 0.8374336828297065, min values: -2.0720360108781377, max values: 3.0, median values: -0.3213695211133612, and quantile values: 0.25 -0.869933\n0.50 -0.321370\n0.75 0.355811\nName: 765, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6630109474352117, std values: 0.9921935471762724, min values: -2.6270253558526173, max values: 4.0, median values: -0.7241255393626621, and quantile values: 0.25 -1.398986\n0.50 -0.724126\n0.75 0.026143\nName: 766, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.207516471236366, std values: 0.9456401550725109, min values: -2.393489005488375, max values: 3.760287110694155, median values: -0.3307012759273185, and quantile values: 0.25 -0.905045\n0.50 -0.330701\n0.75 0.386982\nName: 767, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22346612647049696, std values: 0.7470109478881727, min values: -2.7648443048846945, max values: 3.496479817235339, median values: 0.2681699310338021, and quantile values: 0.25 -0.298926\n0.50 0.268170\n0.75 0.726873\nName: 768, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35535958568840426, std values: 1.0334729037394788, min values: -2.9090251609554527, max values: 6.0, median values: -0.3818820024923142, and quantile values: 0.25 -1.212234\n0.50 -0.381882\n0.75 0.356850\nName: 769, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.284960916727836, std values: 0.7516462561323235, min values: -2.374446373878101, max values: 4.0, median values: 0.2912455256817789, and quantile values: 0.25 -0.176181\n0.50 0.291246\n0.75 0.746331\nName: 770, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07721799374837318, std values: 0.900720576432775, min values: -2.096768618411309, max values: 3.760287110694155, median values: -0.0739014046190032, and quantile values: 0.25 -0.693107\n0.50 -0.073901\n0.75 0.431694\nName: 771, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35537665658752465, std values: 0.7969224545607873, min values: -2.7648443048846945, max values: 3.598076523509904, median values: 0.3417748668276207, and quantile values: 0.25 -0.132270\n0.50 0.341775\n0.75 0.840766\nName: 772, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9978407730641818, std values: 1.3652321778877832, min values: -3.21990804472754, max values: 5.0, median values: -1.611574191827129, and quantile values: 0.25 -2.137148\n0.50 -1.611574\n0.75 0.238077\nName: 773, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05222507162170399, std values: 1.046702582644565, min values: -2.5293911731823453, max values: 3.627976272701048, median values: -0.1259257737488356, and quantile values: 0.25 -0.779659\n0.50 -0.125926\n0.75 0.674475\nName: 774, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23510081401485464, std values: 0.8471171136470668, min values: -2.497627580948261, max values: 3.3014869995452325, median values: -0.1473156467698585, and quantile values: 0.25 -0.726371\n0.50 -0.147316\n0.75 0.280760\nName: 775, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17492960935423152, std values: 0.8513092447405414, min values: -2.4536054974529624, max values: 6.0, median values: -0.2863357720329733, and quantile values: 0.25 -0.800420\n0.50 -0.286336\n0.75 0.353218\nName: 776, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11158095977090203, std values: 0.7976609404687127, min values: -2.007734609717569, max values: 3.477886732511886, median values: -0.2226076087833844, and quantile values: 0.25 -0.641998\n0.50 -0.222608\n0.75 0.379835\nName: 777, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0823729062315111, std values: 0.9126045005632526, min values: -2.801183634509044, max values: 5.0, median values: -0.0786506728765692, and quantile values: 0.25 -0.769895\n0.50 -0.078651\n0.75 0.618885\nName: 778, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06926263127330204, std values: 0.7384485299475662, min values: -2.62876542141649, max values: 3.0089865423056903, median values: -0.0646246434207952, and quantile values: 0.25 -0.576139\n0.50 -0.064625\n0.75 0.387136\nName: 779, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3311963697713655, std values: 0.7546782154342998, min values: -2.0360128381441656, max values: 5.0, median values: 0.3915569125089703, and quantile values: 0.25 -0.174349\n0.50 0.391557\n0.75 0.828314\nName: 780, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34382333103145707, std values: 1.1508014511104085, min values: -2.8246479422601736, max values: 6.0, median values: -0.3731629947359449, and quantile values: 0.25 -1.219110\n0.50 -0.373163\n0.75 0.474712\nName: 781, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1617188097718298, std values: 0.8704980737418943, min values: -2.687115288423959, max values: 5.0, median values: -0.2360090846615611, and quantile values: 0.25 -0.706295\n0.50 -0.236009\n0.75 0.389532\nName: 782, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.004626980077837878, std values: 1.0524790223737726, min values: -2.6072570508709387, max values: 4.0, median values: 0.0282469887298764, and quantile values: 0.25 -0.727519\n0.50 0.028247\n0.75 0.735942\nName: 783, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3616452336647031, std values: 0.8072325914125169, min values: -2.5825978442440407, max values: 6.0, median values: 0.4366646620399209, and quantile values: 0.25 -0.142333\n0.50 0.436665\n0.75 0.885147\nName: 784, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3400453817482327, std values: 0.8668945486048342, min values: -2.7648443048846945, max values: 3.3483277116524426, median values: 0.3676448146976509, and quantile values: 0.25 -0.302388\n0.50 0.367645\n0.75 1.021100\nName: 785, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3239576098609994, std values: 0.9564818410756921, min values: -2.8164291268114208, max values: 4.243835016543704, median values: -0.2678774241697303, and quantile values: 0.25 -0.974819\n0.50 -0.267877\n0.75 0.252351\nName: 786, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8051462382001532, std values: 1.0810135522122257, min values: -2.226424194672579, max values: 4.0, median values: 0.8556335721146484, and quantile values: 0.25 0.016190\n0.50 0.855634\n0.75 1.668332\nName: 787, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.023556039727156763, std values: 0.8134989757841908, min values: -2.087432639025188, max values: 4.0, median values: -0.1073647560870287, and quantile values: 0.25 -0.558925\n0.50 -0.107365\n0.75 0.438051\nName: 788, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33550838261610444, std values: 0.8649072817220312, min values: -3.37168864424074, max values: 3.667275230673496, median values: -0.4254454558865088, and quantile values: 0.25 -0.925090\n0.50 -0.425445\n0.75 0.227103\nName: 789, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16447794395480178, std values: 0.9744085986354295, min values: -2.673549169958716, max values: 6.0, median values: -0.200503331906133, and quantile values: 0.25 -0.870101\n0.50 -0.200503\n0.75 0.506220\nName: 790, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20203557991367496, std values: 0.8620172315220042, min values: -2.439930808627264, max values: 4.0, median values: -0.2947518557475572, and quantile values: 0.25 -0.873597\n0.50 -0.294752\n0.75 0.367797\nName: 791, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26285673393617714, std values: 0.8272758450389375, min values: -2.26039143358266, max values: 4.0, median values: -0.3798092522153196, and quantile values: 0.25 -0.844568\n0.50 -0.379809\n0.75 0.226081\nName: 792, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.309219656227785, std values: 0.9421214660080567, min values: -2.687115288423959, max values: 5.0, median values: -0.4366572720517205, and quantile values: 0.25 -1.048668\n0.50 -0.436657\n0.75 0.323212\nName: 793, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3804965104930959, std values: 0.8067843969624405, min values: -3.0960472541202715, max values: 6.0, median values: 0.4168602505449995, and quantile values: 0.25 -0.156175\n0.50 0.416860\n0.75 0.939438\nName: 794, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11847915566564741, std values: 0.7535290935452652, min values: -2.3539573508340577, max values: 5.0, median values: 0.1492368637893801, and quantile values: 0.25 -0.395068\n0.50 0.149237\n0.75 0.590679\nName: 795, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3369404381536657, std values: 0.8533536540919409, min values: -2.0118852280441426, max values: 3.017846660960028, median values: -0.4365058071110947, and quantile values: 0.25 -0.976113\n0.50 -0.436506\n0.75 0.236972\nName: 796, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27013166132214056, std values: 0.934621047874362, min values: -2.01271952487341, max values: 6.0, median values: 0.1591145716875874, and quantile values: 0.25 -0.385439\n0.50 0.159115\n0.75 0.922266\nName: 797, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0350188487959592, std values: 0.8459063859167157, min values: -2.673549169958716, max values: 6.0, median values: 0.0519349424923892, and quantile values: 0.25 -0.540681\n0.50 0.051935\n0.75 0.572611\nName: 798, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.314111197004254, std values: 1.0794512455380432, min values: -2.4902145713898545, max values: 3.1106274661862763, median values: -0.3608443901330125, and quantile values: 0.25 -1.197530\n0.50 -0.360844\n0.75 0.429656\nName: 799, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17834489764376227, std values: 0.7754658924743254, min values: -2.052253597414744, max values: 5.0, median values: 0.2223535443440612, and quantile values: 0.25 -0.326525\n0.50 0.222354\n0.75 0.650243\nName: 800, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5365828749801546, std values: 0.9737324977436744, min values: -2.618746139350171, max values: 3.760287110694155, median values: 0.5139451343321886, and quantile values: 0.25 -0.112071\n0.50 0.513945\n0.75 1.248032\nName: 801, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0815748457824314, std values: 1.151116020499315, min values: -2.2315802844518, max values: 3.349054967837474, median values: -0.1168669331339112, and quantile values: 0.25 -1.091433\n0.50 -0.116867\n0.75 0.794780\nName: 802, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09143822587862312, std values: 0.866817402335517, min values: -2.8834699678265463, max values: 5.0, median values: 0.0705867532574244, and quantile values: 0.25 -0.417139\n0.50 0.070587\n0.75 0.624825\nName: 803, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0812333912729021, std values: 0.7323182315878777, min values: -2.0353567906974, max values: 4.0, median values: 0.0792584942658258, and quantile values: 0.25 -0.397371\n0.50 0.079258\n0.75 0.508989\nName: 804, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.48124411355553, std values: 0.8803342948187717, min values: -2.04551391420568, max values: 6.0, median values: -0.5531536430219084, and quantile values: 0.25 -1.176495\n0.50 -0.553154\n0.75 0.087604\nName: 805, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09246074846118808, std values: 0.8431246833163563, min values: -3.0363117572416627, max values: 5.0, median values: -0.0945843190653861, and quantile values: 0.25 -0.692929\n0.50 -0.094584\n0.75 0.437809\nName: 806, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3242253470521619, std values: 0.9546414901552086, min values: -2.87684958111886, max values: 3.630507857092792, median values: -0.4504075496751569, and quantile values: 0.25 -0.968962\n0.50 -0.450408\n0.75 0.183948\nName: 807, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5426835436507044, std values: 0.8597859035219232, min values: -2.6685266729136536, max values: 6.0, median values: 0.6046678908735964, and quantile values: 0.25 -0.033108\n0.50 0.604668\n0.75 1.199760\nName: 808, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09226687869694535, std values: 0.9111615528132223, min values: -2.053612783201618, max values: 2.9996722348762725, median values: 0.0111536530443813, and quantile values: 0.25 -0.565652\n0.50 0.011154\n0.75 0.645035\nName: 809, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5968017072051, std values: 0.8061924056299431, min values: -2.0019812311634992, max values: 6.0, median values: 0.644911037604259, and quantile values: 0.25 0.045583\n0.50 0.644911\n0.75 1.186956\nName: 810, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1446713193961223, std values: 0.7886538961416301, min values: -2.5631847770497496, max values: 4.0, median values: 0.1490419327249621, and quantile values: 0.25 -0.364183\n0.50 0.149042\n0.75 0.643522\nName: 811, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17150575996061626, std values: 0.7849826104056722, min values: -2.0681185926384043, max values: 3.2936960268109283, median values: 0.162849641880693, and quantile values: 0.25 -0.317291\n0.50 0.162850\n0.75 0.635866\nName: 812, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10669751819680545, std values: 0.8122162657883036, min values: -2.169311742921253, max values: 6.0, median values: 0.0593545124975528, and quantile values: 0.25 -0.404056\n0.50 0.059355\n0.75 0.602739\nName: 813, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03449139348041292, std values: 0.8079839978712934, min values: -2.0093129946111974, max values: 3.0148736195915853, median values: -0.074645722658337, and quantile values: 0.25 -0.601833\n0.50 -0.074646\n0.75 0.451349\nName: 814, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0933730242361144, std values: 0.993088697555956, min values: -2.240740315114864, max values: 4.243835016543704, median values: -0.2055458076203874, and quantile values: 0.25 -0.783575\n0.50 -0.205546\n0.75 0.410209\nName: 815, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3397163560284205, std values: 0.8459566881380792, min values: -2.271143658239337, max values: 6.0, median values: 0.3444328806775815, and quantile values: 0.25 -0.189637\n0.50 0.344433\n0.75 0.874462\nName: 816, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20214185471482468, std values: 0.8633136259928734, min values: -2.0102034291104567, max values: 5.0, median values: 0.0911662386555722, and quantile values: 0.25 -0.424322\n0.50 0.091166\n0.75 0.784568\nName: 817, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39347061337576267, std values: 0.8721220671873164, min values: -2.2302536455627937, max values: 4.0, median values: -0.460044180526186, and quantile values: 0.25 -1.106449\n0.50 -0.460044\n0.75 0.206729\nName: 818, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1868741273489112, std values: 0.8527100345576922, min values: -2.5213149333948146, max values: 4.243835016543704, median values: 0.126569011097365, and quantile values: 0.25 -0.446281\n0.50 0.126569\n0.75 0.744925\nName: 819, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.434121850156084, std values: 0.8572657747093654, min values: -1.9376225097832336, max values: 2.9666813816765742, median values: 0.4853578239879657, and quantile values: 0.25 -0.145061\n0.50 0.485358\n0.75 1.035290\nName: 820, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2831253506913619, std values: 0.7867755952320019, min values: -2.2915911556076085, max values: 3.867701659180865, median values: 0.3471874873971562, and quantile values: 0.25 -0.241046\n0.50 0.347187\n0.75 0.810400\nName: 821, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34291501410643366, std values: 0.9199808581120459, min values: -2.837386543755612, max values: 4.0, median values: 0.4336248303737439, and quantile values: 0.25 -0.103277\n0.50 0.433625\n0.75 0.920676\nName: 822, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.056429751741541426, std values: 1.0015071681935255, min values: -2.8282523283494294, max values: 3.176672644814091, median values: 0.0742867175845968, and quantile values: 0.25 -0.475718\n0.50 0.074287\n0.75 0.570123\nName: 823, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4097363297275715, std values: 0.9519972292069346, min values: -2.3535801335706847, max values: 4.0, median values: -0.4470415099073133, and quantile values: 0.25 -1.189243\n0.50 -0.447042\n0.75 0.232924\nName: 824, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.46592680649991464, std values: 0.8426817760204746, min values: -1.7823824712462395, max values: 6.0, median values: 0.4317561561882743, and quantile values: 0.25 -0.091665\n0.50 0.431756\n0.75 0.991064\nName: 825, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.042303197517802114, std values: 0.8383688729977019, min values: -2.618746139350171, max values: 3.9905524164385566, median values: -0.1101701740889725, and quantile values: 0.25 -0.630332\n0.50 -0.110170\n0.75 0.514566\nName: 826, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8800700287169433, std values: 1.2583571222007681, min values: -2.6023368942328267, max values: 4.278004674434932, median values: 0.7820630415910964, and quantile values: 0.25 -0.078168\n0.50 0.782063\n0.75 1.882994\nName: 827, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2704293619626103, std values: 0.8616061045403031, min values: -2.6652153608723106, max values: 5.0, median values: -0.3288402705557748, and quantile values: 0.25 -0.829945\n0.50 -0.328840\n0.75 0.277367\nName: 828, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11142893739267083, std values: 0.878998212068144, min values: -2.321103531050575, max values: 4.0, median values: 0.1425566970447616, and quantile values: 0.25 -0.523164\n0.50 0.142557\n0.75 0.695206\nName: 829, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19150247882507543, std values: 0.9745782832182152, min values: -2.098259549910112, max values: 6.0, median values: -0.3838266403778305, and quantile values: 0.25 -0.885403\n0.50 -0.383827\n0.75 0.328969\nName: 830, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10960732824125878, std values: 0.7742415618424195, min values: -2.6117120822772133, max values: 5.0, median values: 0.0816770317323383, and quantile values: 0.25 -0.346859\n0.50 0.081677\n0.75 0.581085\nName: 831, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04252660567720723, std values: 0.8024774021230887, min values: -1.938240697070224, max values: 6.0, median values: -0.0344584986911564, and quantile values: 0.25 -0.601997\n0.50 -0.034458\n0.75 0.497053\nName: 832, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5494427194709609, std values: 0.7709153469618378, min values: -2.349293916724472, max values: 3.0838352979250487, median values: 0.6306681540376253, and quantile values: 0.25 0.054803\n0.50 0.630668\n0.75 1.077746\nName: 833, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2604168816910358, std values: 1.1984482821765898, min values: -2.622709665346679, max values: 3.405671179043623, median values: 0.4980425477088269, and quantile values: 0.25 -0.369558\n0.50 0.498043\n0.75 1.133396\nName: 834, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3048507320639857, std values: 0.8615889848575168, min values: -2.6023368942328267, max values: 3.455472209455805, median values: 0.3451050710585932, and quantile values: 0.25 -0.302784\n0.50 0.345105\n0.75 0.974481\nName: 835, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27400319040291715, std values: 0.9235785459502761, min values: -2.6652153608723106, max values: 5.0, median values: -0.3330000356992346, and quantile values: 0.25 -0.937128\n0.50 -0.333000\n0.75 0.302441\nName: 836, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2074912645226459, std values: 0.9427219595172872, min values: -2.215291168881953, max values: 3.9905524164385566, median values: -0.2741527165070568, and quantile values: 0.25 -0.981189\n0.50 -0.274153\n0.75 0.487652\nName: 837, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38150887434062286, std values: 1.139617166463868, min values: -2.8297583842718432, max values: 5.0, median values: -0.4371846946742104, and quantile values: 0.25 -1.128825\n0.50 -0.437185\n0.75 0.398651\nName: 838, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04835788972671343, std values: 0.8861919359290984, min values: -2.7428415536925543, max values: 5.0, median values: -0.0953440411758509, and quantile values: 0.25 -0.593140\n0.50 -0.095344\n0.75 0.522677\nName: 839, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42244075684698323, std values: 0.8200522419662227, min values: -2.6412681606926487, max values: 3.598076523509904, median values: -0.5636558569373773, and quantile values: 0.25 -1.007419\n0.50 -0.563656\n0.75 0.040108\nName: 840, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7047448960728836, std values: 0.8840384755009066, min values: -2.1352565847896168, max values: 4.243835016543704, median values: 0.8226627465949394, and quantile values: 0.25 0.158301\n0.50 0.822663\n0.75 1.345152\nName: 841, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0843954140605441, std values: 0.8422245159684931, min values: -1.9474301154000653, max values: 3.9905524164385566, median values: -0.0192396735449844, and quantile values: 0.25 -0.532348\n0.50 -0.019240\n0.75 0.606599\nName: 842, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06422359338641799, std values: 0.8895400918917062, min values: -3.447534482420193, max values: 3.8226908388056136, median values: -0.0401355519999724, and quantile values: 0.25 -0.653922\n0.50 -0.040136\n0.75 0.524685\nName: 843, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40228301482736073, std values: 0.8376249673011066, min values: -2.102258330765142, max values: 5.0, median values: -0.5584566033747312, and quantile values: 0.25 -0.999441\n0.50 -0.558457\n0.75 0.099333\nName: 844, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30207670631456995, std values: 0.9037607263049506, min values: -2.243700453073378, max values: 6.0, median values: -0.4123371982040132, and quantile values: 0.25 -1.018432\n0.50 -0.412337\n0.75 0.307984\nName: 845, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14355360113422758, std values: 0.7802429050429567, min values: -2.073524544085168, max values: 5.0, median values: -0.1559558626262318, and quantile values: 0.25 -0.673522\n0.50 -0.155956\n0.75 0.375394\nName: 846, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0817196098118789, std values: 1.2742769020514968, min values: -2.727901130262228, max values: 4.0, median values: -1.697451438218042, and quantile values: 0.25 -2.140874\n0.50 -1.697451\n0.75 0.013853\nName: 847, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3619412064020954, std values: 0.7271660050899112, min values: -2.03491991191987, max values: 5.0, median values: 0.3939721319896166, and quantile values: 0.25 -0.081274\n0.50 0.393972\n0.75 0.808795\nName: 848, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07072131962173533, std values: 0.9476896707895746, min values: -2.807209974165368, max values: 6.0, median values: -0.0624998279555287, and quantile values: 0.25 -0.672992\n0.50 -0.062500\n0.75 0.511492\nName: 849, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2589637807432916, std values: 1.197629689507318, min values: -2.525362520654854, max values: 5.0, median values: 0.1328816619828854, and quantile values: 0.25 -0.638153\n0.50 0.132882\n0.75 1.039256\nName: 850, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0864623779269895, std values: 0.8019931116978746, min values: -2.537573835824454, max values: 6.0, median values: -0.1615564784999366, and quantile values: 0.25 -0.659331\n0.50 -0.161556\n0.75 0.465974\nName: 851, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2165139417231755, std values: 0.7676573666788846, min values: -2.442256129120324, max values: 6.0, median values: 0.2264485643107359, and quantile values: 0.25 -0.285217\n0.50 0.226449\n0.75 0.736158\nName: 852, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.840221175121039, std values: 1.1406774546867733, min values: -2.9109251266226006, max values: 3.0, median values: -0.9032665761394124, and quantile values: 0.25 -1.835545\n0.50 -0.903267\n0.75 0.048162\nName: 853, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10331024139231362, std values: 1.1226472113795847, min values: -2.879968592907284, max values: 4.0, median values: 0.1600241900093407, and quantile values: 0.25 -0.689565\n0.50 0.160024\n0.75 0.962615\nName: 854, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1214871154783985, std values: 0.8819596252578285, min values: -2.017754962508897, max values: 6.0, median values: -0.2275506289586516, and quantile values: 0.25 -0.826581\n0.50 -0.227551\n0.75 0.496635\nName: 855, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3473255019962029, std values: 1.0681811846876306, min values: -2.837386543755612, max values: 5.0, median values: -0.4245411916435844, and quantile values: 0.25 -1.061994\n0.50 -0.424541\n0.75 0.349875\nName: 856, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05970223134923115, std values: 0.8021055889364187, min values: -2.06202912357012, max values: 3.124705982383484, median values: 0.0198070097726497, and quantile values: 0.25 -0.459340\n0.50 0.019807\n0.75 0.557137\nName: 857, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2666117841334497, std values: 0.9373262452418203, min values: -2.226424194672579, max values: 4.0, median values: -0.3351880128891563, and quantile values: 0.25 -1.029812\n0.50 -0.335188\n0.75 0.385439\nName: 858, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13847674499575485, std values: 0.7858215138747483, min values: -2.1232100101643527, max values: 6.0, median values: 0.1782694363653168, and quantile values: 0.25 -0.392271\n0.50 0.178269\n0.75 0.657166\nName: 859, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2074487100005685, std values: 0.9173671014996501, min values: -2.590643619371846, max values: 4.0, median values: 0.2802436539967984, and quantile values: 0.25 -0.336914\n0.50 0.280244\n0.75 0.802540\nName: 860, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18417102609312502, std values: 0.8453085425046626, min values: -2.0271217109746607, max values: 3.163266084685921, median values: -0.3267747253256388, and quantile values: 0.25 -0.792893\n0.50 -0.326775\n0.75 0.303248\nName: 861, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32430905785521513, std values: 1.145422468989, min values: -3.1386665508340674, max values: 3.438667023696733, median values: 0.5176977858894519, and quantile values: 0.25 -0.424571\n0.50 0.517698\n0.75 1.204140\nName: 862, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3349700616165591, std values: 0.9902357830701181, min values: -3.24173864501462, max values: 3.379902545505621, median values: -0.2159610811283116, and quantile values: 0.25 -0.947549\n0.50 -0.215961\n0.75 0.326254\nName: 863, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3619964307963503, std values: 1.0403306681780196, min values: -2.769191083399913, max values: 3.415255285860171, median values: -0.2786708126323609, and quantile values: 0.25 -0.850465\n0.50 -0.278671\n0.75 0.260558\nName: 864, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21865472278478512, std values: 0.8484756870412615, min values: -2.124111428422639, max values: 4.0, median values: -0.2802190730282697, and quantile values: 0.25 -0.864529\n0.50 -0.280219\n0.75 0.367819\nName: 865, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2782553972462914, std values: 0.9776722411401598, min values: -2.8164291268114208, max values: 4.0, median values: 0.2346033808237774, and quantile values: 0.25 -0.380135\n0.50 0.234603\n0.75 1.005614\nName: 866, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11200620204133056, std values: 0.8475941687414391, min values: -2.789830374413015, max values: 3.0651860794139534, median values: 0.1330996890011804, and quantile values: 0.25 -0.462499\n0.50 0.133100\n0.75 0.640679\nName: 867, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02517647678382919, std values: 0.8233530848430867, min values: -2.7230534645798463, max values: 3.0, median values: -0.0637415683452147, and quantile values: 0.25 -0.534472\n0.50 -0.063742\n0.75 0.491657\nName: 868, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04147301343000273, std values: 0.7886125103535677, min values: -2.688157591415518, max values: 5.0, median values: -0.0900983087997154, and quantile values: 0.25 -0.537610\n0.50 -0.090098\n0.75 0.423004\nName: 869, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24259309236412135, std values: 0.8404980259757499, min values: -2.0773212586940626, max values: 5.0, median values: 0.1488191612996437, and quantile values: 0.25 -0.325267\n0.50 0.148819\n0.75 0.801521\nName: 870, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2739827700385352, std values: 0.747238006650545, min values: -2.439930808627264, max values: 4.0, median values: -0.3597571032010549, and quantile values: 0.25 -0.813693\n0.50 -0.359757\n0.75 0.191204\nName: 871, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.1067102642429567, std values: 1.2401957520640836, min values: -2.727901130262228, max values: 4.0, median values: -1.6973598254296185, and quantile values: 0.25 -2.140406\n0.50 -1.697360\n0.75 -0.070393\nName: 872, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21473270257642166, std values: 0.749935462077179, min values: -1.9146617836401167, max values: 3.627976272701048, median values: 0.2125028915924262, and quantile values: 0.25 -0.233178\n0.50 0.212503\n0.75 0.666013\nName: 873, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35865091106180147, std values: 0.9310648223998462, min values: -3.24173864501462, max values: 3.030805337148847, median values: -0.4790162771992513, and quantile values: 0.25 -1.056239\n0.50 -0.479016\n0.75 0.232584\nName: 874, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5300882086297385, std values: 0.8962141668263114, min values: -2.525881048269423, max values: 3.1485882570365185, median values: 0.4690059024485191, and quantile values: 0.25 -0.011628\n0.50 0.469006\n0.75 1.106139\nName: 875, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19483490887622332, std values: 0.9061442354377361, min values: -2.673124659932621, max values: 6.0, median values: 0.2004715021871018, and quantile values: 0.25 -0.330891\n0.50 0.200472\n0.75 0.759396\nName: 876, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4120986959450012, std values: 0.7602380394570144, min values: -2.5631847770497496, max values: 4.0, median values: 0.4090113772723223, and quantile values: 0.25 -0.042534\n0.50 0.409011\n0.75 0.879630\nName: 877, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1264342705213579, std values: 0.7799238754124291, min values: -2.439930808627264, max values: 4.0, median values: -0.1139993089077734, and quantile values: 0.25 -0.655371\n0.50 -0.113999\n0.75 0.337664\nName: 878, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6608537340687772, std values: 1.0064267318533708, min values: -2.815821936576896, max values: 3.319774799707247, median values: -0.6253014375615726, and quantile values: 0.25 -1.339322\n0.50 -0.625301\n0.75 -0.039309\nName: 879, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.006234611225801726, std values: 0.9146494440170106, min values: -2.590643619371846, max values: 4.0, median values: 0.056789033506112, and quantile values: 0.25 -0.605036\n0.50 0.056789\n0.75 0.633496\nName: 880, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10116174428811779, std values: 0.8070269502350322, min values: -2.0652088699865043, max values: 5.0, median values: 0.118686928535159, and quantile values: 0.25 -0.398763\n0.50 0.118687\n0.75 0.600842\nName: 881, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25175349987579143, std values: 0.7167619746028749, min values: -2.2262971094910258, max values: 3.598076523509904, median values: -0.2780535979086007, and quantile values: 0.25 -0.698647\n0.50 -0.278054\n0.75 0.130826\nName: 882, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6110163129325625, std values: 0.9669526264021087, min values: -2.688157591415518, max values: 5.0, median values: 0.7186377003950826, and quantile values: 0.25 -0.070987\n0.50 0.718638\n0.75 1.362504\nName: 883, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24351088272475066, std values: 0.6994907381951914, min values: -2.226424194672579, max values: 4.0, median values: 0.3153815360064537, and quantile values: 0.25 -0.201420\n0.50 0.315382\n0.75 0.703189\nName: 884, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08665105040650342, std values: 0.8199246123357212, min values: -2.4176069991382847, max values: 6.0, median values: 0.0994047499870954, and quantile values: 0.25 -0.465289\n0.50 0.099405\n0.75 0.604673\nName: 885, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.351666029553207, std values: 0.7494502017504555, min values: -2.275531026921315, max values: 6.0, median values: 0.3971529583184981, and quantile values: 0.25 -0.123353\n0.50 0.397153\n0.75 0.821078\nName: 886, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2647353626988807, std values: 0.8713880100402668, min values: -2.5879430435308, max values: 3.0, median values: -0.362873174568478, and quantile values: 0.25 -0.922555\n0.50 -0.362873\n0.75 0.324570\nName: 887, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24472290423837173, std values: 0.8649522572970079, min values: -2.748993280390358, max values: 3.4217036547572275, median values: 0.2980611039543415, and quantile values: 0.25 -0.334713\n0.50 0.298061\n0.75 0.811180\nName: 888, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16804519709701565, std values: 0.9214093377645083, min values: -2.739804196611005, max values: 6.0, median values: -0.1066041113140792, and quantile values: 0.25 -0.696504\n0.50 -0.106604\n0.75 0.382889\nName: 889, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5246543416768181, std values: 0.857218787729335, min values: -1.863884344474451, max values: 3.598076523509904, median values: 0.4565876193516459, and quantile values: 0.25 -0.046255\n0.50 0.456588\n0.75 1.143154\nName: 890, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20693568946627647, std values: 0.8465403244384043, min values: -2.0590878109320845, max values: 6.0, median values: 0.1690558630249138, and quantile values: 0.25 -0.340317\n0.50 0.169056\n0.75 0.724866\nName: 891, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4380022094610419, std values: 0.9440832011491214, min values: -2.092815429397888, max values: 3.124705982383484, median values: -0.5230559229816149, and quantile values: 0.25 -1.190696\n0.50 -0.523056\n0.75 0.193508\nName: 892, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.007088096924414144, std values: 0.9025217654968626, min values: -2.8680719719444903, max values: 3.090297571450676, median values: -0.111683340389495, and quantile values: 0.25 -0.623877\n0.50 -0.111683\n0.75 0.545052\nName: 893, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21159073422364208, std values: 0.9102874716000283, min values: -2.73836943861057, max values: 3.0, median values: 0.2871392327403091, and quantile values: 0.25 -0.447793\n0.50 0.287139\n0.75 0.908039\nName: 894, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1899502356539614, std values: 0.7613819584627166, min values: -2.572123985342288, max values: 4.0, median values: 0.2328060070564135, and quantile values: 0.25 -0.309298\n0.50 0.232806\n0.75 0.716772\nName: 895, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08984167012077318, std values: 0.8392393983911933, min values: -2.622709665346679, max values: 3.147276669305989, median values: -0.0828153314811163, and quantile values: 0.25 -0.577940\n0.50 -0.082815\n0.75 0.427255\nName: 896, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26783115311001493, std values: 0.8636887929106094, min values: -2.862971749830789, max values: 3.090297571450676, median values: 0.3508548303816429, and quantile values: 0.25 -0.204001\n0.50 0.350855\n0.75 0.802053\nName: 897, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2088400824050867, std values: 0.9417533751890073, min values: -2.8246479422601736, max values: 6.0, median values: -0.2260530185058228, and quantile values: 0.25 -0.773587\n0.50 -0.226053\n0.75 0.318832\nName: 898, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03258378981340421, std values: 1.0750066937756844, min values: -2.724017888297919, max values: 3.281452258958016, median values: 0.0355607465603696, and quantile values: 0.25 -0.799934\n0.50 0.035561\n0.75 0.818955\nName: 899, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.014819417454355586, std values: 1.122364433855993, min values: -2.5668911794391143, max values: 3.867701659180865, median values: 0.0016307815309678, and quantile values: 0.25 -0.909669\n0.50 0.001631\n0.75 0.794176\nName: 900, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4173357092080949, std values: 0.8363784785719094, min values: -3.074005993202373, max values: 3.0876051304901218, median values: -0.5166744534817294, and quantile values: 0.25 -1.095100\n0.50 -0.516674\n0.75 0.145629\nName: 901, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07710754555096, std values: 0.7565486252337925, min values: -2.475778245535816, max values: 3.528773265847577, median values: 0.0597683355775254, and quantile values: 0.25 -0.392364\n0.50 0.059768\n0.75 0.523263\nName: 902, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20265286191415433, std values: 0.8958037371229047, min values: -2.138226655046297, max values: 3.379902545505621, median values: -0.3343102421225001, and quantile values: 0.25 -0.861956\n0.50 -0.334310\n0.75 0.342826\nName: 903, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3181026561546716, std values: 0.9085399774339346, min values: -2.245067678204811, max values: 4.0, median values: -0.385973101880582, and quantile values: 0.25 -1.035370\n0.50 -0.385973\n0.75 0.287885\nName: 904, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11335447860402931, std values: 0.7440653874780391, min values: -2.050447226825624, max values: 2.949186837165591, median values: 0.1176710836142938, and quantile values: 0.25 -0.356909\n0.50 0.117671\n0.75 0.557716\nName: 905, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07536405150111805, std values: 1.2385967599316765, min values: -2.684072796644972, max values: 6.0, median values: 0.1248564168689315, and quantile values: 0.25 -0.713751\n0.50 0.124856\n0.75 0.894981\nName: 906, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4659735437218523, std values: 1.1533408892231063, min values: -3.074005993202373, max values: 3.236860296211547, median values: 0.6120954300193225, and quantile values: 0.25 -0.315651\n0.50 0.612095\n0.75 1.391355\nName: 907, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.095664758990992, std values: 0.792547372798705, min values: -2.3808324358856225, max values: 3.250922035035844, median values: -0.0704417668047154, and quantile values: 0.25 -0.675562\n0.50 -0.070442\n0.75 0.434840\nName: 908, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18032594633652577, std values: 0.9335272237747895, min values: -2.607565022042742, max values: 4.0, median values: -0.2619446753745824, and quantile values: 0.25 -0.797124\n0.50 -0.261945\n0.75 0.469164\nName: 909, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1604129387199159, std values: 0.8019559509562544, min values: -2.5825978442440407, max values: 6.0, median values: -0.1515486236634863, and quantile values: 0.25 -0.684968\n0.50 -0.151549\n0.75 0.306133\nName: 910, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09190859804390998, std values: 1.3118661841202506, min values: -2.815821936576896, max values: 3.1801075704642923, median values: 0.1559515730816642, and quantile values: 0.25 -0.820345\n0.50 0.155952\n0.75 0.909825\nName: 911, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22076805932448154, std values: 0.9056013806022944, min values: -2.558791007225312, max values: 3.1290445144064547, median values: 0.3145082164346449, and quantile values: 0.25 -0.341319\n0.50 0.314508\n0.75 0.845217\nName: 912, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30217446842070134, std values: 1.187342677576815, min values: -2.6278943940336483, max values: 4.0, median values: -0.2716995805752465, and quantile values: 0.25 -1.230347\n0.50 -0.271700\n0.75 0.488274\nName: 913, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.005937532249219876, std values: 0.9121493223310942, min values: -2.4823451998031074, max values: 3.076680642207697, median values: 0.0343003906239973, and quantile values: 0.25 -0.531302\n0.50 0.034300\n0.75 0.581476\nName: 914, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5400463792213822, std values: 0.9747301070647089, min values: -2.6685266729136536, max values: 5.0, median values: -0.6742079008575733, and quantile values: 0.25 -1.221000\n0.50 -0.674208\n0.75 0.124329\nName: 915, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0985091840919786, std values: 0.8755935341738841, min values: -1.9311758163700528, max values: 3.3483277116524426, median values: -0.193081558431579, and quantile values: 0.25 -0.810064\n0.50 -0.193082\n0.75 0.481389\nName: 916, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02350888656014098, std values: 0.8024307126299439, min values: -2.982771139679002, max values: 4.0, median values: 0.0658389540829051, and quantile values: 0.25 -0.494060\n0.50 0.065839\n0.75 0.497944\nName: 917, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11034371236410379, std values: 0.9668231446861016, min values: -2.8350118695332047, max values: 5.0, median values: 0.1031521292607496, and quantile values: 0.25 -0.480646\n0.50 0.103152\n0.75 0.768116\nName: 918, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.191664018116666, std values: 0.9076073504414066, min values: -2.589966702820638, max values: 6.0, median values: -0.2632274142517048, and quantile values: 0.25 -0.840497\n0.50 -0.263227\n0.75 0.351279\nName: 919, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.007710945601540462, std values: 0.7574265864793868, min values: -2.525362520654854, max values: 5.0, median values: -0.0400804290548855, and quantile values: 0.25 -0.485172\n0.50 -0.040080\n0.75 0.421996\nName: 920, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0007884761383788433, std values: 0.8460684136607819, min values: -2.446475285346346, max values: 3.5021977227593246, median values: -0.0986922282626602, and quantile values: 0.25 -0.597349\n0.50 -0.098692\n0.75 0.561839\nName: 921, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.788502761866636, std values: 0.8924813545455876, min values: -2.788272971802125, max values: 6.0, median values: -0.949290298278084, and quantile values: 0.25 -1.457572\n0.50 -0.949290\n0.75 -0.240608\nName: 922, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04543377457010243, std values: 1.0180136424087316, min values: -2.673549169958716, max values: 6.0, median values: 0.145294566735297, and quantile values: 0.25 -0.487342\n0.50 0.145295\n0.75 0.669972\nName: 923, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.553471341871984, std values: 0.8260776203951539, min values: -2.2915911556076085, max values: 3.036311757241655, median values: -0.7000960573653933, and quantile values: 0.25 -1.185120\n0.50 -0.700096\n0.75 -0.043832\nName: 924, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32480836841983407, std values: 0.9281516718213443, min values: -2.609385158408876, max values: 4.0, median values: -0.3839284070877413, and quantile values: 0.25 -0.873000\n0.50 -0.383928\n0.75 0.279359\nName: 925, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6387101425676683, std values: 1.0843129601486197, min values: -2.662750916816848, max values: 5.0, median values: 0.638482341872918, and quantile values: 0.25 -0.151938\n0.50 0.638482\n0.75 1.539480\nName: 926, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2847811968221697, std values: 0.8390287266715961, min values: -2.094811568530773, max values: 6.0, median values: -0.3600803061863158, and quantile values: 0.25 -0.860570\n0.50 -0.360080\n0.75 0.183444\nName: 927, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1691396940808724, std values: 0.8845807431458076, min values: -2.855306289371099, max values: 6.0, median values: 0.1206665246205625, and quantile values: 0.25 -0.386958\n0.50 0.120667\n0.75 0.771318\nName: 928, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3438769353094232, std values: 0.7917655349085846, min values: -2.0669513462950864, max values: 6.0, median values: 0.4000749737529738, and quantile values: 0.25 -0.170758\n0.50 0.400075\n0.75 0.850668\nName: 929, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6007168504976521, std values: 0.9671484939773377, min values: -2.687115288423959, max values: 5.0, median values: 0.7085159619727298, and quantile values: 0.25 -0.083431\n0.50 0.708516\n0.75 1.351165\nName: 930, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38761978904099226, std values: 0.8873911910741196, min values: -2.03491991191987, max values: 3.598076523509904, median values: 0.4074688669050344, and quantile values: 0.25 -0.208289\n0.50 0.407469\n0.75 0.940637\nName: 931, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2654347408950481, std values: 0.9676085991610599, min values: -2.56026492390943, max values: 4.0, median values: -0.2868375125698499, and quantile values: 0.25 -1.045278\n0.50 -0.286838\n0.75 0.397064\nName: 932, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.021727445347050792, std values: 1.1801332255146135, min values: -2.643887016977268, max values: 6.0, median values: 0.0781679338035218, and quantile values: 0.25 -0.930399\n0.50 0.078168\n0.75 0.953401\nName: 933, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06910455011515489, std values: 0.8291982675696956, min values: -2.564449278715455, max values: 3.667275230673496, median values: 0.0438015097942736, and quantile values: 0.25 -0.455960\n0.50 0.043802\n0.75 0.573602\nName: 934, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19003697788925838, std values: 1.0428219445314684, min values: -2.5122218748354936, max values: 3.8226908388056136, median values: 0.2242907569404048, and quantile values: 0.25 -0.470509\n0.50 0.224291\n0.75 0.814959\nName: 935, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1825903122811343, std values: 0.9096899799613711, min values: -2.147228856409125, max values: 3.349054967837474, median values: -0.3145082164346449, and quantile values: 0.25 -0.857407\n0.50 -0.314508\n0.75 0.375905\nName: 936, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30036233753094643, std values: 0.81114610222861, min values: -2.06620683671988, max values: 3.349054967837474, median values: 0.3619359247352812, and quantile values: 0.25 -0.267239\n0.50 0.361936\n0.75 0.884448\nName: 937, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32061460391545654, std values: 0.787926055601871, min values: -2.4125199145038643, max values: 4.0, median values: -0.3452803090421382, and quantile values: 0.25 -0.872870\n0.50 -0.345280\n0.75 0.153492\nName: 938, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.1555076523209282, std values: 1.1779788339269919, min values: -2.727901130262228, max values: 4.0, median values: -1.6858433673450968, and quantile values: 0.25 -2.140874\n0.50 -1.685843\n0.75 -0.203057\nName: 939, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3055469991691042, std values: 0.8469391630814456, min values: -2.058629196027331, max values: 3.0, median values: 0.1975863405476214, and quantile values: 0.25 -0.329618\n0.50 0.197586\n0.75 0.892517\nName: 940, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12049622266490465, std values: 0.9318640839507392, min values: -2.525362520654854, max values: 5.0, median values: 0.0657837560510685, and quantile values: 0.25 -0.518238\n0.50 0.065784\n0.75 0.757871\nName: 941, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10452923094055898, std values: 0.778096179069335, min values: -2.0397470924909658, max values: 3.397048482165858, median values: 0.040094859718499, and quantile values: 0.25 -0.409293\n0.50 0.040095\n0.75 0.604606\nName: 942, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.043815618868479525, std values: 0.9145406174879865, min values: -2.406541011733012, max values: 3.3760121766849016, median values: -0.0731904492880251, and quantile values: 0.25 -0.687024\n0.50 -0.073190\n0.75 0.535270\nName: 943, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.043480869403515324, std values: 1.134721260767403, min values: -2.815821936576896, max values: 3.438667023696733, median values: -0.1170610314834094, and quantile values: 0.25 -0.729422\n0.50 -0.117061\n0.75 0.677050\nName: 944, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5091746494749237, std values: 0.9143841608503506, min values: -2.727901130262228, max values: 4.0, median values: -0.6263398283902506, and quantile values: 0.25 -1.162956\n0.50 -0.626340\n0.75 0.082519\nName: 945, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2901335998514758, std values: 0.8841104604683534, min values: -2.687115288423959, max values: 5.0, median values: -0.4213501620739816, and quantile values: 0.25 -0.901990\n0.50 -0.421350\n0.75 0.230451\nName: 946, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2110132172830233, std values: 0.8188966195934287, min values: -2.687282238908512, max values: 3.0, median values: 0.2327255715870587, and quantile values: 0.25 -0.333524\n0.50 0.232726\n0.75 0.701849\nName: 947, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42461099476080855, std values: 0.8227511616842336, min values: -2.072108449798908, max values: 6.0, median values: -0.5449704782731146, and quantile values: 0.25 -1.022051\n0.50 -0.544970\n0.75 0.048212\nName: 948, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1414111823518061, std values: 1.0138586593532084, min values: -3.124705982383478, max values: 3.598076523509904, median values: 0.1510472097936633, and quantile values: 0.25 -0.472817\n0.50 0.151047\n0.75 0.837508\nName: 949, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22380268188645636, std values: 0.9093748599369459, min values: -2.7688682710567485, max values: 3.9048392686725855, median values: -0.2061787510905024, and quantile values: 0.25 -0.907468\n0.50 -0.206179\n0.75 0.363550\nName: 950, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18138373222056142, std values: 0.887442164101181, min values: -2.56026492390943, max values: 4.0, median values: -0.246414401604003, and quantile values: 0.25 -0.772249\n0.50 -0.246414\n0.75 0.399717\nName: 951, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.007658652549747909, std values: 0.8201590869771589, min values: -2.613677167437551, max values: 5.0, median values: 0.0161938238287288, and quantile values: 0.25 -0.540452\n0.50 0.016194\n0.75 0.518595\nName: 952, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12216989413302135, std values: 0.8477542829298554, min values: -2.1149759989911825, max values: 4.0, median values: -0.22198658770862, and quantile values: 0.25 -0.757934\n0.50 -0.221987\n0.75 0.464183\nName: 953, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04538275180089272, std values: 0.9642996123135658, min values: -2.1103582417935702, max values: 5.0, median values: -0.0542441430800116, and quantile values: 0.25 -0.832863\n0.50 -0.054244\n0.75 0.670623\nName: 954, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6277532216522218, std values: 0.9313054635589262, min values: -2.641174291463747, max values: 6.0, median values: -0.6887563074814154, and quantile values: 0.25 -1.385722\n0.50 -0.688756\n0.75 -0.022738\nName: 955, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26317779107267913, std values: 1.190881843335039, min values: -2.9622221028070275, max values: 6.0, median values: -0.0798749396218598, and quantile values: 0.25 -1.059588\n0.50 -0.079875\n0.75 0.663879\nName: 956, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3511634537294735, std values: 0.9946256796328461, min values: -2.117042895443173, max values: 3.569037956734876, median values: 0.4443953748988166, and quantile values: 0.25 -0.331138\n0.50 0.444395\n0.75 1.064073\nName: 957, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27109630812228264, std values: 0.9871396208107803, min values: -2.9109251266226006, max values: 3.397048482165858, median values: 0.2786462424653119, and quantile values: 0.25 -0.410449\n0.50 0.278646\n0.75 0.943373\nName: 958, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4733484726890784, std values: 0.8456615148530382, min values: -2.5879430435308, max values: 3.0, median values: 0.5689273855393108, and quantile values: 0.25 -0.111101\n0.50 0.568927\n0.75 1.118693\nName: 959, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1287167520486427, std values: 0.9284517954664387, min values: -3.071284484560209, max values: 3.667275230673496, median values: 0.1595486255366676, and quantile values: 0.25 -0.448682\n0.50 0.159549\n0.75 0.721057\nName: 960, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13241512332739966, std values: 0.9117575941122896, min values: -2.6122411453164007, max values: 4.0, median values: 0.1829960185499617, and quantile values: 0.25 -0.579242\n0.50 0.182996\n0.75 0.832582\nName: 961, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29845139501223206, std values: 0.9368871207937686, min values: -2.428047068876455, max values: 3.1106274661862763, median values: -0.3690864575085483, and quantile values: 0.25 -0.981072\n0.50 -0.369086\n0.75 0.258555\nName: 962, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2877444989401935, std values: 0.9559901565711618, min values: -2.2915911556076085, max values: 3.9905524164385566, median values: -0.4266768160907657, and quantile values: 0.25 -1.042913\n0.50 -0.426677\n0.75 0.313877\nName: 963, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08410822013907765, std values: 1.2434341973790894, min values: -2.2038853164231766, max values: 3.518664430018096, median values: -0.4122243398187342, and quantile values: 0.25 -1.038981\n0.50 -0.412224\n0.75 0.678902\nName: 964, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3607747299924653, std values: 0.9587162660981375, min values: -2.87684958111886, max values: 3.4566816047670264, median values: -0.4856056934791109, and quantile values: 0.25 -1.020857\n0.50 -0.485606\n0.75 0.245534\nName: 965, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11960823572516123, std values: 0.940685022378716, min values: -2.558791007225312, max values: 3.0418703198091483, median values: -0.0113448054936708, and quantile values: 0.25 -0.708524\n0.50 -0.011345\n0.75 0.540561\nName: 966, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.124638146899576, std values: 1.1356417939554073, min values: -2.87684958111886, max values: 3.349054967837474, median values: 0.2536599274831216, and quantile values: 0.25 -0.633628\n0.50 0.253660\n0.75 0.932439\nName: 967, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4686789192958891, std values: 0.9898116785173935, min values: -2.9029979285382743, max values: 6.0, median values: 0.6134577361608764, and quantile values: 0.25 -0.048280\n0.50 0.613458\n0.75 1.153584\nName: 968, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22644235835117177, std values: 0.8668344977320297, min values: -2.74545920336776, max values: 4.0, median values: 0.1859830048506754, and quantile values: 0.25 -0.375284\n0.50 0.185983\n0.75 0.793344\nName: 969, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3663473100794701, std values: 1.0200093868007571, min values: -2.2038853164231766, max values: 2.962222102807026, median values: 0.3971412930208304, and quantile values: 0.25 -0.456832\n0.50 0.397141\n0.75 1.243215\nName: 970, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3590520028758462, std values: 0.8898758832582657, min values: -3.0390690173369013, max values: 3.280245386470253, median values: -0.4433013330790042, and quantile values: 0.25 -1.045033\n0.50 -0.443301\n0.75 0.265110\nName: 971, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04017079280837001, std values: 0.9392192742065915, min values: -2.275531026921315, max values: 6.0, median values: -0.1610057688459149, and quantile values: 0.25 -0.775565\n0.50 -0.161006\n0.75 0.606525\nName: 972, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2540936430825096, std values: 0.8544438340799738, min values: -2.506827530467421, max values: 4.0, median values: 0.2644478099733255, and quantile values: 0.25 -0.325093\n0.50 0.264448\n0.75 0.792818\nName: 973, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03750915549726681, std values: 0.8159698502484231, min values: -2.149604774834846, max values: 5.0, median values: -0.1305759803840023, and quantile values: 0.25 -0.620979\n0.50 -0.130576\n0.75 0.491765\nName: 974, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5335686577683282, std values: 0.9875475607263106, min values: -2.147228856409125, max values: 3.569037956734876, median values: 0.5001899537083234, and quantile values: 0.25 -0.206291\n0.50 0.500190\n0.75 1.317166\nName: 975, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.023255905703847977, std values: 0.7841256300717152, min values: -2.076845029664644, max values: 3.415255285860171, median values: -0.0772196959665274, and quantile values: 0.25 -0.608560\n0.50 -0.077220\n0.75 0.512587\nName: 976, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2797271690937518, std values: 0.8258497614334652, min values: -2.643887016977268, max values: 6.0, median values: -0.2240241631123326, and quantile values: 0.25 -0.800129\n0.50 -0.224024\n0.75 0.213498\nName: 977, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7475788120261345, std values: 0.9006447227250773, min values: -1.998924259736456, max values: 3.197902420311553, median values: 0.8164188798720318, and quantile values: 0.25 0.079211\n0.50 0.816419\n0.75 1.475234\nName: 978, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06676964469230905, std values: 0.7546262214176782, min values: -2.572123985342288, max values: 4.0, median values: -0.0782639340263389, and quantile values: 0.25 -0.553931\n0.50 -0.078264\n0.75 0.428308\nName: 979, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18369143261661844, std values: 1.2448808789385628, min values: -2.842989614395848, max values: 5.0, median values: 0.2917052753925829, and quantile values: 0.25 -0.558263\n0.50 0.291705\n0.75 1.105360\nName: 980, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18658472082816477, std values: 0.7577456610260774, min values: -2.566353753627196, max values: 2.7245896212082603, median values: 0.1973453424180123, and quantile values: 0.25 -0.311654\n0.50 0.197345\n0.75 0.704209\nName: 981, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4095256463818086, std values: 0.8961081771460961, min values: -1.95000464165448, max values: 2.898237445269887, median values: 0.4895788939758595, and quantile values: 0.25 -0.244771\n0.50 0.489579\n0.75 1.048794\nName: 982, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32174151298363773, std values: 0.9626867361309802, min values: -2.558791007225312, max values: 3.784832159836258, median values: -0.3886149909734447, and quantile values: 0.25 -1.046012\n0.50 -0.388615\n0.75 0.335038\nName: 983, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2315054228093604, std values: 0.8206184472132071, min values: -2.0173333848714066, max values: 3.306454397423372, median values: -0.3389904722305115, and quantile values: 0.25 -0.801888\n0.50 -0.338990\n0.75 0.267508\nName: 984, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2433179072325645, std values: 0.8106634434119221, min values: -2.3771558481240653, max values: 4.0, median values: 0.2836866687602559, and quantile values: 0.25 -0.313212\n0.50 0.283687\n0.75 0.788981\nName: 985, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16484214999310545, std values: 0.9580701258322213, min values: -2.6603025395856053, max values: 5.0, median values: 0.290533537507511, and quantile values: 0.25 -0.477071\n0.50 0.290534\n0.75 0.812735\nName: 986, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5942035332868475, std values: 1.0531266392791931, min values: -2.933035609461076, max values: 5.0, median values: -0.6415465255950068, and quantile values: 0.25 -1.332913\n0.50 -0.641547\n0.75 0.128928\nName: 987, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17939354359716428, std values: 0.8696806389308982, min values: -1.989943634409112, max values: 4.0, median values: 0.1725332183403767, and quantile values: 0.25 -0.437159\n0.50 0.172533\n0.75 0.736748\nName: 988, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02980306882142701, std values: 1.0009551799194536, min values: -3.0363117572416627, max values: 5.0, median values: 0.1081369504335046, and quantile values: 0.25 -0.647131\n0.50 0.108137\n0.75 0.680934\nName: 989, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28239328108054224, std values: 1.4292600690405861, min values: -2.960014365184806, max values: 6.0, median values: 0.411246782452471, and quantile values: 0.25 -0.596164\n0.50 0.411247\n0.75 1.432200\nName: 990, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24769803286226097, std values: 1.1683908189676382, min values: -2.6270253558526173, max values: 4.0, median values: 0.3817931367423684, and quantile values: 0.25 -0.499943\n0.50 0.381793\n0.75 1.194173\nName: 991, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09451123585493738, std values: 0.9422683912296652, min values: -2.299460330888208, max values: 4.0, median values: -0.2119208883840921, and quantile values: 0.25 -0.842012\n0.50 -0.211921\n0.75 0.556366\nName: 992, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05006610870509597, std values: 0.9366844260340675, min values: -2.63315074164461, max values: 6.0, median values: 0.1377985976810802, and quantile values: 0.25 -0.486411\n0.50 0.137799\n0.75 0.652252\nName: 993, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06518302721680432, std values: 0.7145779140191876, min values: -2.072580019544124, max values: 4.0, median values: -0.1110737058841918, and quantile values: 0.25 -0.523056\n0.50 -0.111074\n0.75 0.359346\nName: 994, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3535817811945616, std values: 0.8959163498960007, min values: -2.8680719719444903, max values: 3.667275230673496, median values: -0.4357789146993306, and quantile values: 0.25 -1.045278\n0.50 -0.435779\n0.75 0.245591\nName: 995, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1597306769060889, std values: 0.8758060189618324, min values: -2.4536054974529624, max values: 6.0, median values: -0.3003844642550691, and quantile values: 0.25 -0.778979\n0.50 -0.300384\n0.75 0.376789\nName: 996, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44510924802164037, std values: 0.849113702901125, min values: -2.4536054974529624, max values: 6.0, median values: 0.4235724486644142, and quantile values: 0.25 -0.148541\n0.50 0.423572\n0.75 1.028127\nName: 997, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.029330584230260484, std values: 0.8307539481405541, min values: -2.5825978442440407, max values: 6.0, median values: -0.013401165143237, and quantile values: 0.25 -0.589729\n0.50 -0.013401\n0.75 0.488780\nName: 998, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.349607332362084, std values: 0.7359970784909187, min values: -2.1248753939751497, max values: 5.0, median values: 0.3897735268700055, and quantile values: 0.25 -0.116069\n0.50 0.389774\n0.75 0.817034\nName: 999, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09686974669053483, std values: 0.9921471070427945, min values: -2.92272757463548, max values: 6.0, median values: 0.0232177267090097, and quantile values: 0.25 -0.579798\n0.50 0.023218\n0.75 0.486650\nName: 1000, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5418755961199809, std values: 1.0894306324774619, min values: -2.778044916685896, max values: 3.3483277116524426, median values: -0.4748506478375818, and quantile values: 0.25 -1.185954\n0.50 -0.474851\n0.75 0.153387\nName: 1001, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41676767923370384, std values: 0.8082387098384695, min values: -2.212004168819108, max values: 3.3636961113187773, median values: 0.4986847765631262, and quantile values: 0.25 -0.121499\n0.50 0.498685\n0.75 0.979162\nName: 1002, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.46599408965135075, std values: 0.8225743683016374, min values: -2.3184884946917497, max values: 6.0, median values: 0.5252854786569642, and quantile values: 0.25 -0.019523\n0.50 0.525285\n0.75 1.001195\nName: 1003, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03822900012473889, std values: 0.7664401755358313, min values: -2.419659473655063, max values: 4.0, median values: -0.026440821084931, and quantile values: 0.25 -0.454510\n0.50 -0.026441\n0.75 0.510900\nName: 1004, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33058933163079707, std values: 0.926553004915969, min values: -2.6117120822772133, max values: 5.0, median values: 0.3323143721321341, and quantile values: 0.25 -0.302470\n0.50 0.332314\n0.75 0.965620\nName: 1005, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22890962609183857, std values: 0.7654005973240622, min values: -1.9878938033360591, max values: 3.784832159836258, median values: 0.2691050759466877, and quantile values: 0.25 -0.252669\n0.50 0.269105\n0.75 0.711571\nName: 1006, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07873007693220062, std values: 0.8385600459342882, min values: -2.4737574649270093, max values: 3.670892362631932, median values: 0.0631460668779596, and quantile values: 0.25 -0.490378\n0.50 0.063146\n0.75 0.631879\nName: 1007, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3801886717721325, std values: 0.9173561246510009, min values: -2.8998169811239416, max values: 3.215720519334646, median values: -0.4900851863915473, and quantile values: 0.25 -1.143245\n0.50 -0.490085\n0.75 0.264995\nName: 1008, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11492631556222659, std values: 0.8789485629427629, min values: -2.2477784840641744, max values: 4.0, median values: 0.1672820028981509, and quantile values: 0.25 -0.517304\n0.50 0.167282\n0.75 0.799851\nName: 1009, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12589664878038767, std values: 1.1810524972502559, min values: -2.8467638118011016, max values: 5.0, median values: 0.1278267364908313, and quantile values: 0.25 -0.698919\n0.50 0.127827\n0.75 1.051919\nName: 1010, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09664943798161037, std values: 0.9534784950590502, min values: -2.5122218748354936, max values: 3.0, median values: 0.2488281210575734, and quantile values: 0.25 -0.408383\n0.50 0.248828\n0.75 0.746379\nName: 1011, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5502352481967766, std values: 0.7350115336456094, min values: -1.9376188342525784, max values: 3.155170554159904, median values: 0.5997203929377862, and quantile values: 0.25 0.105630\n0.50 0.599720\n0.75 1.036704\nName: 1012, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17221361292173265, std values: 1.1664069098393264, min values: -2.891990595045606, max values: 6.0, median values: 0.0430021171338594, and quantile values: 0.25 -0.904143\n0.50 0.043002\n0.75 0.644267\nName: 1013, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1361662679061456, std values: 0.822486029420315, min values: -2.5631847770497496, max values: 4.0, median values: 0.1623105524597626, and quantile values: 0.25 -0.425228\n0.50 0.162311\n0.75 0.639834\nName: 1014, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09207532459103052, std values: 1.0216943294343799, min values: -2.789830374413015, max values: 3.8226908388056136, median values: -0.2353295295004491, and quantile values: 0.25 -0.880436\n0.50 -0.235330\n0.75 0.572543\nName: 1015, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33602987902395504, std values: 0.9471088032389716, min values: -2.56026492390943, max values: 4.0, median values: 0.3168580011864786, and quantile values: 0.25 -0.234773\n0.50 0.316858\n0.75 0.989405\nName: 1016, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29574511923024976, std values: 0.947012725512444, min values: -3.074005993202373, max values: 3.096891534584617, median values: 0.4432709506073619, and quantile values: 0.25 -0.270562\n0.50 0.443271\n0.75 0.975146\nName: 1017, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10233888628993035, std values: 0.8245439742189771, min values: -2.0397470924909658, max values: 3.630507857092792, median values: 0.0498894922021847, and quantile values: 0.25 -0.449205\n0.50 0.049889\n0.75 0.647218\nName: 1018, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13404129737911671, std values: 0.8008755287268764, min values: -2.0884920198234647, max values: 3.2071942083719924, median values: 0.057009704938158, and quantile values: 0.25 -0.423883\n0.50 0.057010\n0.75 0.664772\nName: 1019, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.046687194197110975, std values: 1.0069852830834323, min values: -2.657750824678472, max values: 5.0, median values: -0.1007349258601566, and quantile values: 0.25 -0.789304\n0.50 -0.100735\n0.75 0.695483\nName: 1020, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05672140345398118, std values: 0.8743266659400177, min values: -2.9472833478224456, max values: 6.0, median values: 0.0024107217905238, and quantile values: 0.25 -0.538211\n0.50 0.002411\n0.75 0.514221\nName: 1021, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5593134562192539, std values: 1.3784339575029685, min values: -2.8327898928872086, max values: 4.278004674434932, median values: 0.6686583065045856, and quantile values: 0.25 -0.288586\n0.50 0.668658\n0.75 1.489200\nName: 1022, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4126967246735195, std values: 1.2693196050528146, min values: -2.919359491767569, max values: 5.0, median values: 0.4022537978145055, and quantile values: 0.25 -0.382060\n0.50 0.402254\n0.75 1.310183\nName: 1023, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29033332691395836, std values: 1.0028115922644771, min values: -3.071284484560209, max values: 2.940767124716234, median values: 0.3209464703085568, and quantile values: 0.25 -0.459267\n0.50 0.320946\n0.75 1.088708\nName: 1024, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22021167351594118, std values: 1.0694110860075192, min values: -2.9265160609644223, max values: 6.0, median values: -0.1537074289586363, and quantile values: 0.25 -0.739976\n0.50 -0.153707\n0.75 0.428593\nName: 1025, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36090978103241095, std values: 1.0500816336997676, min values: -2.623568901859613, max values: 4.0, median values: 0.4537582605728479, and quantile values: 0.25 -0.354532\n0.50 0.453758\n0.75 1.154309\nName: 1026, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5506219514916721, std values: 1.0273146963783673, min values: -2.801183634509044, max values: 5.0, median values: 0.5750232041315504, and quantile values: 0.25 -0.192863\n0.50 0.575023\n0.75 1.366406\nName: 1027, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12808634166129038, std values: 0.8224209766643684, min values: -2.015650649816468, max values: 2.7999904856009894, median values: -0.2032258990703637, and quantile values: 0.25 -0.717231\n0.50 -0.203226\n0.75 0.411504\nName: 1028, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3429737321294713, std values: 1.0902069121200653, min values: -2.6270253558526173, max values: 4.0, median values: 0.4313014777483286, and quantile values: 0.25 -0.338682\n0.50 0.431301\n0.75 1.172490\nName: 1029, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.025730722605574158, std values: 0.93430049235718, min values: -2.6466193392086392, max values: 4.243835016543704, median values: 0.020705305244299, and quantile values: 0.25 -0.661512\n0.50 0.020705\n0.75 0.610436\nName: 1030, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05574633218209996, std values: 0.8628942366299551, min values: -2.7314147016889114, max values: 3.415255285860171, median values: 0.0068067898482488, and quantile values: 0.25 -0.709002\n0.50 0.006807\n0.75 0.590737\nName: 1031, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3730594259140741, std values: 1.1967522073245453, min values: -2.6270253558526173, max values: 4.0, median values: -0.4367178608328237, and quantile values: 0.25 -1.294379\n0.50 -0.436718\n0.75 0.489514\nName: 1032, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2135760394485234, std values: 1.223499184971635, min values: -2.982771139679002, max values: 4.0, median values: -0.0388677547771938, and quantile values: 0.25 -0.999480\n0.50 -0.038868\n0.75 0.723174\nName: 1033, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1840446699600292, std values: 1.0796750179212284, min values: -2.6270253558526173, max values: 4.0, median values: -0.140686231821288, and quantile values: 0.25 -0.954704\n0.50 -0.140686\n0.75 0.643987\nName: 1034, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11967419880362816, std values: 0.80183588485632, min values: -2.442256129120324, max values: 6.0, median values: 0.1010482034874477, and quantile values: 0.25 -0.401925\n0.50 0.101048\n0.75 0.602690\nName: 1035, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3536197823877701, std values: 0.7442453224683605, min values: -1.8786831708430165, max values: 3.1888787873512885, median values: 0.3315740162257581, and quantile values: 0.25 -0.105867\n0.50 0.331574\n0.75 0.830800\nName: 1036, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5807233318050548, std values: 0.8837623770802875, min values: -2.1615535666033687, max values: 4.0, median values: 0.5508748975440917, and quantile values: 0.25 0.029406\n0.50 0.550875\n0.75 1.192222\nName: 1037, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5660566154054782, std values: 1.0061981893550298, min values: -2.836329012979307, max values: 3.5021977227593246, median values: -0.6396983779960208, and quantile values: 0.25 -1.406521\n0.50 -0.639698\n0.75 0.150097\nName: 1038, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08335997715322865, std values: 1.2843483036280587, min values: -2.9278427058120164, max values: 6.0, median values: 0.2345304996169801, and quantile values: 0.25 -0.700089\n0.50 0.234530\n0.75 0.957220\nName: 1039, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16564111626507289, std values: 0.8278804741047137, min values: -2.73836943861057, max values: 3.0, median values: 0.1652412229694377, and quantile values: 0.25 -0.382178\n0.50 0.165241\n0.75 0.702030\nName: 1040, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07477861734792282, std values: 0.7940311012050265, min values: -2.041071882478405, max values: 3.0148736195915853, median values: -0.1490697796729752, and quantile values: 0.25 -0.645442\n0.50 -0.149070\n0.75 0.450748\nName: 1041, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.435843578391093, std values: 0.9732823083188833, min values: -2.727901130262228, max values: 4.0, median values: -1.801997760041013, and quantile values: 0.25 -2.142279\n0.50 -1.801998\n0.75 -0.828624\nName: 1042, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.050874945057468014, std values: 0.9631618877078078, min values: -2.5293911731823453, max values: 3.709787027503053, median values: 0.1045839469164729, and quantile values: 0.25 -0.550930\n0.50 0.104584\n0.75 0.580441\nName: 1043, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3930276251791904, std values: 1.264450186056756, min values: -2.727901130262228, max values: 4.0, median values: -0.1032628747640071, and quantile values: 0.25 -1.745818\n0.50 -0.103263\n0.75 0.510045\nName: 1044, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.009135375360581803, std values: 0.8399435668905014, min values: -2.1227739687253626, max values: 3.0, median values: 0.0492877794718762, and quantile values: 0.25 -0.594146\n0.50 0.049288\n0.75 0.580676\nName: 1045, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11638034870741135, std values: 0.9021049088009966, min values: -2.801183634509044, max values: 5.0, median values: 0.0991107729703045, and quantile values: 0.25 -0.566539\n0.50 0.099111\n0.75 0.808604\nName: 1046, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07279886929388281, std values: 1.08339122178599, min values: -2.9622221028070275, max values: 6.0, median values: 0.0939092085029444, and quantile values: 0.25 -0.672044\n0.50 0.093909\n0.75 0.937940\nName: 1047, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5302198010777501, std values: 0.8956099692949432, min values: -2.657750824678472, max values: 5.0, median values: -0.4897930093897676, and quantile values: 0.25 -1.159154\n0.50 -0.489793\n0.75 0.087393\nName: 1048, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4684214990699087, std values: 0.7800064379133619, min values: -1.8578392995715705, max values: 6.0, median values: 0.5499472914345381, and quantile values: 0.25 -0.046696\n0.50 0.549947\n0.75 1.010957\nName: 1049, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.049748890909437536, std values: 1.1314648161817578, min values: -2.623568901859613, max values: 4.0, median values: 0.0944071184331404, and quantile values: 0.25 -0.722560\n0.50 0.094407\n0.75 0.713050\nName: 1050, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12386431396185708, std values: 1.2303030997311752, min values: -2.5743883495350026, max values: 5.0, median values: 0.0971460448015034, and quantile values: 0.25 -0.753280\n0.50 0.097146\n0.75 1.120197\nName: 1051, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02526051232223342, std values: 0.7795714660839062, min values: -1.9128915186341469, max values: 3.0, median values: -0.0668049522632736, and quantile values: 0.25 -0.553104\n0.50 -0.066805\n0.75 0.459162\nName: 1052, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44327635969138923, std values: 0.8553642557202914, min values: -2.93129584560762, max values: 6.0, median values: -0.5453817961811064, and quantile values: 0.25 -1.094626\n0.50 -0.545382\n0.75 0.119615\nName: 1053, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17679109389399902, std values: 0.9832017279175637, min values: -2.4536054974529624, max values: 6.0, median values: 0.1219149431145184, and quantile values: 0.25 -0.524432\n0.50 0.121915\n0.75 0.806983\nName: 1054, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18687699682230247, std values: 0.8758546600584161, min values: -2.7211321814067784, max values: 3.5427287984042666, median values: -0.2282006940125286, and quantile values: 0.25 -0.708182\n0.50 -0.228201\n0.75 0.350195\nName: 1055, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06728155887611074, std values: 1.2082786272855468, min values: -2.720109091499328, max values: 3.236860296211547, median values: 0.0942688077767434, and quantile values: 0.25 -0.795611\n0.50 0.094269\n0.75 0.777860\nName: 1056, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08351988774453736, std values: 0.8976442461148375, min values: -2.5156802245814003, max values: 4.0, median values: 0.0496738021269858, and quantile values: 0.25 -0.477571\n0.50 0.049674\n0.75 0.692369\nName: 1057, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1570841160834436, std values: 0.8815823612156267, min values: -2.783691185534105, max values: 3.670892362631932, median values: 0.0924953633893017, and quantile values: 0.25 -0.525823\n0.50 0.092495\n0.75 0.776631\nName: 1058, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06686246368060395, std values: 0.9247849945294142, min values: -2.679056533720636, max values: 5.0, median values: -0.0467660910068753, and quantile values: 0.25 -0.661830\n0.50 -0.046766\n0.75 0.501095\nName: 1059, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03367996140632053, std values: 1.0924223541785654, min values: -3.236860296211546, max values: 3.598076523509904, median values: -0.0466409617896487, and quantile values: 0.25 -0.688217\n0.50 -0.046641\n0.75 0.686850\nName: 1060, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5020594624347299, std values: 1.0154279186728319, min values: -2.607565022042742, max values: 4.0, median values: 0.6642439933230782, and quantile values: 0.25 -0.064685\n0.50 0.664244\n0.75 1.196756\nName: 1061, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03856893154777132, std values: 0.8521764678776608, min values: -2.076845029664644, max values: 5.0, median values: -0.0309591327231996, and quantile values: 0.25 -0.557903\n0.50 -0.030959\n0.75 0.617887\nName: 1062, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.019319015324061554, std values: 1.192705667789185, min values: -2.5293911731823453, max values: 3.630507857092792, median values: 0.2927686829749367, and quantile values: 0.25 -0.506035\n0.50 0.292769\n0.75 0.804106\nName: 1063, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6019576014782909, std values: 0.8784624005891447, min values: -2.10781213968935, max values: 5.0, median values: -0.7410950004660708, and quantile values: 0.25 -1.337177\n0.50 -0.741095\n0.75 0.015698\nName: 1064, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6680524540570421, std values: 0.9144582731744835, min values: -2.1047747435038886, max values: 6.0, median values: 0.7373677309578226, and quantile values: 0.25 0.026356\n0.50 0.737368\n0.75 1.405683\nName: 1065, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2779086173759091, std values: 0.8297558512345571, min values: -1.889277991353335, max values: 4.0, median values: 0.2960472162444461, and quantile values: 0.25 -0.285902\n0.50 0.296047\n0.75 0.789805\nName: 1066, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3429948916649183, std values: 0.7771004160481165, min values: -2.5879430435308, max values: 3.434669824302974, median values: 0.3556848398591798, and quantile values: 0.25 -0.179776\n0.50 0.355685\n0.75 0.844204\nName: 1067, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7215513943286435, std values: 1.1445120496356538, min values: -2.57895707818966, max values: 6.0, median values: 0.7064214616742175, and quantile values: 0.25 -0.064993\n0.50 0.706421\n0.75 1.630952\nName: 1068, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43977878770589957, std values: 0.9587390043677938, min values: -2.6820581866633817, max values: 3.0, median values: -0.5561728069934071, and quantile values: 0.25 -1.196987\n0.50 -0.556173\n0.75 0.218986\nName: 1069, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07284323754581475, std values: 0.8212617157303091, min values: -2.5039074859839925, max values: 4.0, median values: 0.0913086371324743, and quantile values: 0.25 -0.499890\n0.50 0.091309\n0.75 0.631643\nName: 1070, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3180272983610579, std values: 0.7177807347923811, min values: -2.300042081328127, max values: 4.0, median values: 0.3367884545730186, and quantile values: 0.25 -0.114815\n0.50 0.336788\n0.75 0.752716\nName: 1071, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13137046072048597, std values: 1.1671805090829528, min values: -2.657750824678472, max values: 5.0, median values: 0.0550237606943182, and quantile values: 0.25 -0.783958\n0.50 0.055024\n0.75 0.619862\nName: 1072, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34384415744974456, std values: 0.890697382698568, min values: -2.693453432157769, max values: 3.103622965243153, median values: -0.3184590957225593, and quantile values: 0.25 -0.841190\n0.50 -0.318459\n0.75 0.238735\nName: 1073, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10055325939798512, std values: 1.097328910394324, min values: -2.610097161345549, max values: 4.0, median values: -0.0989059795025793, and quantile values: 0.25 -0.902238\n0.50 -0.098906\n0.75 0.705483\nName: 1074, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17429694501154488, std values: 1.0161583024232295, min values: -2.9797100147087465, max values: 5.0, median values: -0.0458196972600801, and quantile values: 0.25 -0.725905\n0.50 -0.045820\n0.75 0.453655\nName: 1075, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10635145636908172, std values: 0.9545945485187205, min values: -1.9847127025800384, max values: 6.0, median values: 0.1327427456259192, and quantile values: 0.25 -0.639056\n0.50 0.132743\n0.75 0.762414\nName: 1076, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11178099474829323, std values: 0.7339563502063347, min values: -2.1259296353090704, max values: 5.0, median values: -0.1324559073918004, and quantile values: 0.25 -0.590352\n0.50 -0.132456\n0.75 0.336113\nName: 1077, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32862532918229004, std values: 0.8744542804461289, min values: -2.372995607737588, max values: 5.0, median values: 0.3082316755661719, and quantile values: 0.25 -0.259865\n0.50 0.308232\n0.75 0.896287\nName: 1078, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01863418398562067, std values: 0.8875141746966423, min values: -2.643887016977268, max values: 6.0, median values: 0.0565407814499882, and quantile values: 0.25 -0.485320\n0.50 0.056541\n0.75 0.542751\nName: 1079, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4918872645161185, std values: 0.8821550761653543, min values: -2.8164291268114208, max values: 2.8828268876316385, median values: -0.4406899320628665, and quantile values: 0.25 -1.082385\n0.50 -0.440690\n0.75 0.071769\nName: 1080, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1611965806040112, std values: 0.797878146479137, min values: -2.048935494746508, max values: 3.1395741599540568, median values: 0.2225793786919448, and quantile values: 0.25 -0.365471\n0.50 0.222579\n0.75 0.734173\nName: 1081, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03417739885910836, std values: 0.7475875647090467, min values: -2.0163010612064864, max values: 4.243835016543704, median values: -0.076650786644694, and quantile values: 0.25 -0.546397\n0.50 -0.076651\n0.75 0.400186\nName: 1082, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20684831128667588, std values: 0.8837834062388642, min values: -2.5859127503381347, max values: 3.627976272701048, median values: 0.306794503043473, and quantile values: 0.25 -0.281290\n0.50 0.306795\n0.75 0.799093\nName: 1083, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5718821706756324, std values: 0.9380896595790104, min values: -2.5689076212724418, max values: 5.0, median values: 0.6052638797518296, and quantile values: 0.25 -0.101519\n0.50 0.605264\n0.75 1.299421\nName: 1084, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10904377986786237, std values: 0.9506345754327352, min values: -2.6685266729136536, max values: 6.0, median values: -0.1757486292744368, and quantile values: 0.25 -0.726084\n0.50 -0.175749\n0.75 0.550075\nName: 1085, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5346805850069742, std values: 0.8544501422444786, min values: -2.0754191617391693, max values: 5.0, median values: 0.5392489891043606, and quantile values: 0.25 -0.042120\n0.50 0.539249\n0.75 1.148028\nName: 1086, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08316483379982799, std values: 0.8653324915653042, min values: -2.1232100101643527, max values: 6.0, median values: 0.0001376965657302, and quantile values: 0.25 -0.517157\n0.50 0.000138\n0.75 0.635986\nName: 1087, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20843371605236852, std values: 0.8056120223557561, min values: -2.262166766967131, max values: 4.026668017837955, median values: -0.2765583913423335, and quantile values: 0.25 -0.766371\n0.50 -0.276558\n0.75 0.304467\nName: 1088, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23266724696726185, std values: 0.8592090073493149, min values: -2.048935494746508, max values: 2.7551322028804446, median values: 0.2045755528598005, and quantile values: 0.25 -0.350254\n0.50 0.204576\n0.75 0.848904\nName: 1089, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15711274475517817, std values: 0.9509777360531788, min values: -2.27710446206836, max values: 3.1995118554872866, median values: -0.1340296932388657, and quantile values: 0.25 -0.909611\n0.50 -0.134030\n0.75 0.557877\nName: 1090, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1938042229677885, std values: 0.8289148746482433, min values: -2.5654089179183663, max values: 6.0, median values: -0.2896656048034614, and quantile values: 0.25 -0.806543\n0.50 -0.289666\n0.75 0.335592\nName: 1091, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8625760267004904, std values: 1.2203697035277592, min values: -2.15085577507779, max values: 4.278004674434932, median values: 1.0179507026587176, and quantile values: 0.25 -0.076509\n0.50 1.017951\n0.75 1.885595\nName: 1092, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02980662677537319, std values: 1.0388021793803572, min values: -2.0331762695652107, max values: 4.278004674434932, median values: -0.1178097379253949, and quantile values: 0.25 -0.887247\n0.50 -0.117810\n0.75 0.672962\nName: 1093, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40230028919153576, std values: 0.8710857319663157, min values: -2.1201603002813605, max values: 3.9905524164385566, median values: -0.476697064333091, and quantile values: 0.25 -1.029017\n0.50 -0.476697\n0.75 0.109134\nName: 1094, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0736091902388504, std values: 0.7760708938531489, min values: -2.300042081328127, max values: 4.0, median values: 0.0776562251744462, and quantile values: 0.25 -0.461211\n0.50 0.077656\n0.75 0.596149\nName: 1095, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25040744676014354, std values: 0.8230220539806219, min values: -2.486556664247513, max values: 3.455472209455805, median values: -0.2652521731701254, and quantile values: 0.25 -0.751702\n0.50 -0.265252\n0.75 0.243577\nName: 1096, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3087036571283822, std values: 0.9151852173320033, min values: -2.7825548156447035, max values: 6.0, median values: 0.3657572080511734, and quantile values: 0.25 -0.314980\n0.50 0.365757\n0.75 0.933571\nName: 1097, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.434588749650029, std values: 0.9909983897607865, min values: -2.4125199145038643, max values: 4.0, median values: -0.616628953779644, and quantile values: 0.25 -1.231051\n0.50 -0.616629\n0.75 0.203170\nName: 1098, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0017640937962647013, std values: 1.0209286399020374, min values: -2.087919489660226, max values: 4.0, median values: -0.0892677677865103, and quantile values: 0.25 -0.795872\n0.50 -0.089268\n0.75 0.656209\nName: 1099, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13295193986330606, std values: 0.8051596226374848, min values: -2.3922473154067863, max values: 5.0, median values: -0.2423359412567437, and quantile values: 0.25 -0.719311\n0.50 -0.242336\n0.75 0.373896\nName: 1100, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5709352999102701, std values: 1.201253490569582, min values: -2.2477784840641744, max values: 4.0, median values: 0.5856234724902188, and quantile values: 0.25 -0.372859\n0.50 0.585623\n0.75 1.576385\nName: 1101, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17276809231817875, std values: 0.8921712862496717, min values: -2.643887016977268, max values: 6.0, median values: 0.2131798182600891, and quantile values: 0.25 -0.308385\n0.50 0.213180\n0.75 0.717475\nName: 1102, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1455192549658705, std values: 0.7460051292492439, min values: -2.5501488616953263, max values: 3.496479817235339, median values: 0.2063424626732035, and quantile values: 0.25 -0.329712\n0.50 0.206342\n0.75 0.617687\nName: 1103, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3270763371553479, std values: 0.7341094094907499, min values: -2.6652153608723106, max values: 3.4566816047670264, median values: -0.4024329640595409, and quantile values: 0.25 -0.850566\n0.50 -0.402433\n0.75 0.122886\nName: 1104, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18966331102818068, std values: 0.8961760087719742, min values: -2.025405408182953, max values: 3.1841025362512254, median values: 0.2999626190184964, and quantile values: 0.25 -0.478366\n0.50 0.299963\n0.75 0.859560\nName: 1105, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7494102057938988, std values: 1.1273523535999743, min values: -2.240740315114864, max values: 4.0, median values: 0.7788670946569531, and quantile values: 0.25 -0.106176\n0.50 0.778867\n0.75 1.673104\nName: 1106, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3286228786223774, std values: 0.8275318203590407, min values: -2.4125199145038643, max values: 4.0, median values: 0.2516980748178802, and quantile values: 0.25 -0.210203\n0.50 0.251698\n0.75 0.837664\nName: 1107, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06706794201978336, std values: 0.7613780648331238, min values: -2.841647375415054, max values: 5.0, median values: -0.0156154250960291, and quantile values: 0.25 -0.446017\n0.50 -0.015615\n0.75 0.554117\nName: 1108, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14227782189199192, std values: 0.873883008197981, min values: -2.0211405625505043, max values: 4.0, median values: -0.2705471721738949, and quantile values: 0.25 -0.772217\n0.50 -0.270547\n0.75 0.393431\nName: 1109, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.47360013239523263, std values: 1.158241287197312, min values: -2.8547740449753216, max values: 5.0, median values: -0.5025632552382475, and quantile values: 0.25 -1.245778\n0.50 -0.502563\n0.75 0.382529\nName: 1110, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2246810972076967, std values: 0.7736693932126458, min values: -2.0410929924088514, max values: 3.132053530264631, median values: -0.298876567816707, and quantile values: 0.25 -0.744707\n0.50 -0.298877\n0.75 0.240741\nName: 1111, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07581745204688625, std values: 0.8308207989942961, min values: -2.6635706018350787, max values: 3.518664430018096, median values: -0.1476357258165672, and quantile values: 0.25 -0.625770\n0.50 -0.147636\n0.75 0.413357\nName: 1112, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5860999041467265, std values: 0.8856167488521874, min values: -2.1804469615488946, max values: 3.0876051304901218, median values: -0.7744803598805619, and quantile values: 0.25 -1.285905\n0.50 -0.774480\n0.75 -0.053676\nName: 1113, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08609439359629945, std values: 0.8100453486045257, min values: -2.2065783767301927, max values: 6.0, median values: 0.1306037555248473, and quantile values: 0.25 -0.471555\n0.50 0.130604\n0.75 0.634975\nName: 1114, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26311737730168083, std values: 0.7946545419148341, min values: -2.077797959314264, max values: 3.2266531185902125, median values: 0.3229158740243941, and quantile values: 0.25 -0.260460\n0.50 0.322916\n0.75 0.793120\nName: 1115, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7157163761541729, std values: 0.8981955008319094, min values: -2.745904427753044, max values: 5.0, median values: -0.8867894559764915, and quantile values: 0.25 -1.414562\n0.50 -0.886789\n0.75 -0.161055\nName: 1116, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.284831498933165, std values: 0.9917146172882461, min values: -2.745904427753044, max values: 5.0, median values: -0.4835662474749594, and quantile values: 0.25 -1.025702\n0.50 -0.483566\n0.75 0.299074\nName: 1117, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4542841920884125, std values: 0.8375617974506101, min values: -2.264034258932616, max values: 3.627976272701048, median values: 0.4894456799901442, and quantile values: 0.25 -0.072188\n0.50 0.489446\n0.75 1.000400\nName: 1118, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07098915532721736, std values: 0.7453292432205629, min values: -2.8998169811239416, max values: 3.236860296211547, median values: -0.0620859360014063, and quantile values: 0.25 -0.538948\n0.50 -0.062086\n0.75 0.399854\nName: 1119, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23410208966971643, std values: 1.2008755173843089, min values: -2.49390639599516, max values: 5.0, median values: -0.284700725971647, and quantile values: 0.25 -1.281595\n0.50 -0.284701\n0.75 0.643958\nName: 1120, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6929820194074063, std values: 0.9173674666507121, min values: -2.0502871305846115, max values: 3.415255285860171, median values: 0.7566061241334913, and quantile values: 0.25 0.014679\n0.50 0.756606\n0.75 1.438562\nName: 1121, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19338012636118554, std values: 0.9293709760598963, min values: -2.558791007225312, max values: 3.0651860794139534, median values: 0.2059537089358032, and quantile values: 0.25 -0.466759\n0.50 0.205954\n0.75 0.845588\nName: 1122, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2317465537833396, std values: 0.9313588154230878, min values: -2.7825548156447035, max values: 6.0, median values: -0.3601390744058576, and quantile values: 0.25 -0.933971\n0.50 -0.360139\n0.75 0.381408\nName: 1123, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10245826720858218, std values: 0.7589839667132845, min values: -2.605098146828148, max values: 6.0, median values: -0.0683230757127499, and quantile values: 0.25 -0.638443\n0.50 -0.068323\n0.75 0.414617\nName: 1124, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14296156577930488, std values: 0.7165258543744439, min values: -2.481901998915882, max values: 3.0, median values: -0.1559794493901528, and quantile values: 0.25 -0.609897\n0.50 -0.155979\n0.75 0.251912\nName: 1125, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23589843838503619, std values: 0.8146450607902231, min values: -3.28024538647024, max values: 3.9048392686725855, median values: -0.283238435026268, and quantile values: 0.25 -0.760498\n0.50 -0.283238\n0.75 0.261460\nName: 1126, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1788935700043381, std values: 0.7683178713129151, min values: -2.90140378513671, max values: 3.2936960268109283, median values: 0.2422385872763331, and quantile values: 0.25 -0.319578\n0.50 0.242239\n0.75 0.691846\nName: 1127, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2813891069119199, std values: 0.9035632246026937, min values: -2.10781213968935, max values: 5.0, median values: -0.3387902210312833, and quantile values: 0.25 -0.987896\n0.50 -0.338790\n0.75 0.312084\nName: 1128, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2534061263761591, std values: 1.0215351066967475, min values: -3.00972886875607, max values: 3.260388056018088, median values: -0.3411189827557946, and quantile values: 0.25 -1.016211\n0.50 -0.341119\n0.75 0.445078\nName: 1129, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23795637499456798, std values: 0.9433775406345483, min values: -2.5264555314028683, max values: 5.0, median values: -0.1628965742424219, and quantile values: 0.25 -0.904831\n0.50 -0.162897\n0.75 0.362550\nName: 1130, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10150742574613346, std values: 1.011674186983033, min values: -2.4902145713898545, max values: 3.1995118554872866, median values: -0.2586685167734164, and quantile values: 0.25 -0.857185\n0.50 -0.258669\n0.75 0.616143\nName: 1131, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5182829895423304, std values: 1.0188395263113608, min values: -2.4176069991382847, max values: 6.0, median values: 0.5110343959574077, and quantile values: 0.25 -0.286336\n0.50 0.511034\n0.75 1.362210\nName: 1132, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7732803307808045, std values: 0.9177439967192216, min values: -2.838932175687192, max values: 4.0, median values: 0.8183275968129727, and quantile values: 0.25 0.170827\n0.50 0.818328\n0.75 1.494407\nName: 1133, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07196238839017931, std values: 1.0126262811363071, min values: -3.3690402064071137, max values: 3.784832159836258, median values: 0.0959138688506346, and quantile values: 0.25 -0.732119\n0.50 0.095914\n0.75 0.813003\nName: 1134, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3642802217208497, std values: 0.9282989898224573, min values: -3.228456465836797, max values: 3.670892362631932, median values: -0.3689600552015434, and quantile values: 0.25 -0.954313\n0.50 -0.368960\n0.75 0.202553\nName: 1135, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09213512296415764, std values: 1.0820401953533831, min values: -2.837386543755612, max values: 5.0, median values: 0.1060812038356435, and quantile values: 0.25 -0.610609\n0.50 0.106081\n0.75 0.846366\nName: 1136, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3669891830910681, std values: 0.9811466224572344, min values: -2.622709665346679, max values: 3.1485882570365185, median values: 0.4426937613449856, and quantile values: 0.25 -0.255647\n0.50 0.442694\n0.75 1.111476\nName: 1137, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3126101311581945, std values: 0.8215234180824328, min values: -2.09134137830184, max values: 3.060952636712705, median values: 0.4032608991715599, and quantile values: 0.25 -0.228655\n0.50 0.403261\n0.75 0.892599\nName: 1138, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4982753252176907, std values: 0.9940076095522755, min values: -2.3771558481240653, max values: 4.0, median values: 0.4969191411133934, and quantile values: 0.25 -0.273162\n0.50 0.496919\n0.75 1.249594\nName: 1139, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31542492798855115, std values: 0.7797666503745944, min values: -1.8957951374859503, max values: 5.0, median values: 0.26861095365885, and quantile values: 0.25 -0.221529\n0.50 0.268611\n0.75 0.837664\nName: 1140, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08502399295411575, std values: 0.8360965104988969, min values: -2.212004168819108, max values: 3.260388056018088, median values: 0.0587181988426862, and quantile values: 0.25 -0.455793\n0.50 0.058718\n0.75 0.609499\nName: 1141, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3275417556657759, std values: 1.0797339655092606, min values: -2.623568901859613, max values: 4.0, median values: -0.2028429779320221, and quantile values: 0.25 -1.015340\n0.50 -0.202843\n0.75 0.392211\nName: 1142, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22700006995285565, std values: 0.9224927323084837, min values: -2.5631847770497496, max values: 4.0, median values: -0.2556223341190524, and quantile values: 0.25 -0.962239\n0.50 -0.255622\n0.75 0.417139\nName: 1143, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.294790414441545, std values: 0.9323996157495636, min values: -2.7939007019027, max values: 3.224152805256112, median values: 0.3207116515192701, and quantile values: 0.25 -0.214964\n0.50 0.320712\n0.75 0.855327\nName: 1144, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2154924121823258, std values: 0.8570508166338773, min values: -2.5820330744015787, max values: 4.0, median values: 0.2773380504832983, and quantile values: 0.25 -0.272926\n0.50 0.277338\n0.75 0.766276\nName: 1145, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4389155063696486, std values: 0.8255146767803315, min values: -1.7988014185101942, max values: 3.090297571450676, median values: 0.5034696030849856, and quantile values: 0.25 -0.089871\n0.50 0.503470\n0.75 1.044217\nName: 1146, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3620141319171683, std values: 0.9662760611718268, min values: -2.0881631006786536, max values: 5.0, median values: -0.4818136445805834, and quantile values: 0.25 -1.154871\n0.50 -0.481814\n0.75 0.333913\nName: 1147, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17511949849024291, std values: 0.7856614399677494, min values: -2.730840794324401, max values: 3.2701555622463814, median values: 0.2366321059755811, and quantile values: 0.25 -0.377324\n0.50 0.236632\n0.75 0.727201\nName: 1148, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34740935450929333, std values: 0.8546344539957738, min values: -2.730840794324401, max values: 3.709787027503053, median values: 0.2659655982455873, and quantile values: 0.25 -0.237422\n0.50 0.265966\n0.75 0.905401\nName: 1149, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16790757549908641, std values: 0.8668852291398655, min values: -2.58513369695146, max values: 4.0, median values: 0.2566756939773878, and quantile values: 0.25 -0.330267\n0.50 0.256676\n0.75 0.699034\nName: 1150, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23130291073449077, std values: 0.7110268769505315, min values: -2.2161166709808824, max values: 6.0, median values: -0.2597507647035634, and quantile values: 0.25 -0.686222\n0.50 -0.259751\n0.75 0.168600\nName: 1151, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21871226435186447, std values: 1.1301080628551827, min values: -2.7871422803648627, max values: 3.241738645014612, median values: 0.3010521117454061, and quantile values: 0.25 -0.575999\n0.50 0.301052\n0.75 1.089935\nName: 1152, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15602782097273593, std values: 0.8898081869599945, min values: -2.815821936576896, max values: 3.147276669305989, median values: -0.1329094455619136, and quantile values: 0.25 -0.682359\n0.50 -0.132909\n0.75 0.385201\nName: 1153, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31894010688721347, std values: 0.8850325119490772, min values: -2.0918322237798, max values: 5.0, median values: -0.4565106976150055, and quantile values: 0.25 -0.978399\n0.50 -0.456511\n0.75 0.214118\nName: 1154, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.052296240163286226, std values: 0.8479300502348582, min values: -2.5689076212724418, max values: 5.0, median values: 0.0772196959665275, and quantile values: 0.25 -0.556192\n0.50 0.077220\n0.75 0.624866\nName: 1155, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5213524678086134, std values: 1.152086970606455, min values: -2.605844844843939, max values: 4.0, median values: -0.6203777069189212, and quantile values: 0.25 -1.553502\n0.50 -0.620378\n0.75 0.401746\nName: 1156, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36372038819646535, std values: 0.7838036356841056, min values: -1.8740108789081875, max values: 3.2906806286429298, median values: 0.4243603804685558, and quantile values: 0.25 -0.143141\n0.50 0.424360\n0.75 0.881516\nName: 1157, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.253783951049899, std values: 1.031635207147943, min values: -2.8282523283494294, max values: 4.0, median values: -0.2168523085765313, and quantile values: 0.25 -0.866488\n0.50 -0.216852\n0.75 0.426651\nName: 1158, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31319352357484204, std values: 0.8706837133856746, min values: -2.6404955031131814, max values: 5.0, median values: -0.3757234293882994, and quantile values: 0.25 -0.879705\n0.50 -0.375723\n0.75 0.239947\nName: 1159, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3127803905056868, std values: 0.8801396221839395, min values: -2.5879430435308, max values: 3.022367128892113, median values: 0.260435940481467, and quantile values: 0.25 -0.315129\n0.50 0.260436\n0.75 0.887493\nName: 1160, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4000396607997143, std values: 0.9616204282111706, min values: -2.6800544037614658, max values: 4.0, median values: -0.4306366525240326, and quantile values: 0.25 -1.023088\n0.50 -0.430637\n0.75 0.238614\nName: 1161, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6820724520235255, std values: 1.4672149712025144, min values: -2.9029979285382743, max values: 3.3636961113187773, median values: -0.5297165036447099, and quantile values: 0.25 -2.126599\n0.50 -0.529717\n0.75 0.491346\nName: 1162, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01989887508738182, std values: 0.8087490956466024, min values: -2.7318259487734387, max values: 3.3760121766849016, median values: -0.0041033691609375, and quantile values: 0.25 -0.602657\n0.50 -0.004103\n0.75 0.562880\nName: 1163, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04365911512244751, std values: 0.8290170113663897, min values: -2.5563022890751474, max values: 4.0, median values: -0.0126959643837745, and quantile values: 0.25 -0.647568\n0.50 -0.012696\n0.75 0.557813\nName: 1164, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32427937756680003, std values: 0.933842028243419, min values: -2.4902145713898545, max values: 3.362228250221886, median values: 0.3694992151040508, and quantile values: 0.25 -0.261175\n0.50 0.369499\n0.75 0.937708\nName: 1165, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06127426162180341, std values: 0.7504289715803508, min values: -1.9445035180791472, max values: 5.0, median values: -0.1511250804106328, and quantile values: 0.25 -0.591779\n0.50 -0.151125\n0.75 0.399180\nName: 1166, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39592532529356766, std values: 0.9647450896067173, min values: -2.202551250528152, max values: 5.0, median values: -0.4991291257900367, and quantile values: 0.25 -1.203665\n0.50 -0.499129\n0.75 0.321444\nName: 1167, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22285325885881113, std values: 0.7870279765310306, min values: -1.956819733012804, max values: 3.2071942083719924, median values: 0.2598980830114184, and quantile values: 0.25 -0.326924\n0.50 0.259898\n0.75 0.801977\nName: 1168, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.012537149111638784, std values: 0.9868447024871527, min values: -2.5293911731823453, max values: 3.627976272701048, median values: 0.1227818026585647, and quantile values: 0.25 -0.641605\n0.50 0.122782\n0.75 0.679111\nName: 1169, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40071815817709244, std values: 1.550651386593619, min values: -2.9265160609644223, max values: 6.0, median values: -0.1797484783995696, and quantile values: 0.25 -1.926932\n0.50 -0.179748\n0.75 0.673695\nName: 1170, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3436932914511852, std values: 0.9025253823098423, min values: -2.362342117745969, max values: 6.0, median values: -0.467096728666047, and quantile values: 0.25 -1.004223\n0.50 -0.467097\n0.75 0.227321\nName: 1171, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1901740438917012, std values: 0.9132907861583628, min values: -2.0276171973711654, max values: 6.0, median values: 0.2019986483818439, and quantile values: 0.25 -0.429371\n0.50 0.201999\n0.75 0.814469\nName: 1172, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4927479851422104, std values: 0.9012605794826399, min values: -2.7428415536925543, max values: 5.0, median values: -0.5756646419450764, and quantile values: 0.25 -1.093680\n0.50 -0.575665\n0.75 -0.024133\nName: 1173, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25445172900491486, std values: 0.8137511006446171, min values: -2.6603025395856053, max values: 5.0, median values: -0.3122244171336774, and quantile values: 0.25 -0.748200\n0.50 -0.312224\n0.75 0.212343\nName: 1174, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17434566892181402, std values: 0.8679433812338759, min values: -2.4125199145038643, max values: 4.0, median values: -0.2705962034997834, and quantile values: 0.25 -0.846340\n0.50 -0.270596\n0.75 0.387160\nName: 1175, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.553777740685527, std values: 1.0631920613997745, min values: -2.0143923337849454, max values: 3.598076523509904, median values: 0.6312730450309102, and quantile values: 0.25 -0.293518\n0.50 0.631273\n0.75 1.470758\nName: 1176, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10335727629887569, std values: 0.9389858077657345, min values: -2.981718296512785, max values: 5.0, median values: -0.0319829363070471, and quantile values: 0.25 -0.629929\n0.50 -0.031983\n0.75 0.463394\nName: 1177, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14272769422366527, std values: 0.9787924536801628, min values: -2.5759052915632985, max values: 3.518664430018096, median values: 0.3040556743866437, and quantile values: 0.25 -0.450148\n0.50 0.304056\n0.75 0.840131\nName: 1178, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10933029199360139, std values: 0.8297429390841663, min values: -2.226424194672579, max values: 4.0, median values: 0.0327225426674167, and quantile values: 0.25 -0.491408\n0.50 0.032723\n0.75 0.653377\nName: 1179, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22783847431211254, std values: 1.050834830409178, min values: -2.87684958111886, max values: 3.4217036547572275, median values: 0.3895317375830512, and quantile values: 0.25 -0.342242\n0.50 0.389532\n0.75 0.893173\nName: 1180, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47291914065820817, std values: 1.1476711840710583, min values: -2.642042398333877, max values: 3.9905524164385566, median values: 0.5513150623713783, and quantile values: 0.25 -0.238906\n0.50 0.551315\n0.75 1.302561\nName: 1181, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15601825018896043, std values: 0.9002457397957709, min values: -2.4705236352348297, max values: 3.598076523509904, median values: 0.1836028948290416, and quantile values: 0.25 -0.551700\n0.50 0.183603\n0.75 0.901456\nName: 1182, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4153716629280577, std values: 0.9605868798484373, min values: -2.601639132009086, max values: 6.0, median values: -0.4799430999544581, and quantile values: 0.25 -1.169916\n0.50 -0.479943\n0.75 0.202385\nName: 1183, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2062409997716503, std values: 0.9000864259094197, min values: -2.0508981923905893, max values: 3.434669824302974, median values: 0.0731821464363306, and quantile values: 0.25 -0.395902\n0.50 0.073182\n0.75 0.758060\nName: 1184, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39429084625319244, std values: 0.9179365186125973, min values: -1.906533904284745, max values: 6.0, median values: 0.3382151568081985, and quantile values: 0.25 -0.209471\n0.50 0.338215\n0.75 0.984443\nName: 1185, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35209846109996856, std values: 0.9055777729487912, min values: -2.083073092108871, max values: 3.434669824302974, median values: -0.47636166078095, and quantile values: 0.25 -1.069318\n0.50 -0.476362\n0.75 0.206995\nName: 1186, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32018573336114897, std values: 1.2630452356975683, min values: -2.139854677126992, max values: 4.0, median values: 0.1674737460867869, and quantile values: 0.25 -0.701392\n0.50 0.167474\n0.75 1.393242\nName: 1187, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5973918910255556, std values: 0.9431096692329309, min values: -2.2161166709808824, max values: 6.0, median values: 0.5887123758581143, and quantile values: 0.25 -0.081469\n0.50 0.588712\n0.75 1.289164\nName: 1188, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13596590142572945, std values: 1.3334433433428985, min values: -2.769191083399913, max values: 4.026668017837955, median values: -0.117901513687859, and quantile values: 0.25 -1.051727\n0.50 -0.117902\n0.75 0.720904\nName: 1189, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.083580374396705, std values: 0.7795721728258314, min values: -2.5422910691068967, max values: 3.0, median values: -0.1659160102530911, and quantile values: 0.25 -0.643377\n0.50 -0.165916\n0.75 0.407443\nName: 1190, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24527503009265608, std values: 0.8369425350660283, min values: -2.5906203367024587, max values: 3.0, median values: -0.3381276771059481, and quantile values: 0.25 -0.895062\n0.50 -0.338128\n0.75 0.300731\nName: 1191, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13609056924397395, std values: 0.8542110233167342, min values: -2.196708653609315, max values: 6.0, median values: -0.1370503576095046, and quantile values: 0.25 -0.788301\n0.50 -0.137050\n0.75 0.488620\nName: 1192, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39837670915180884, std values: 0.9005678827711925, min values: -2.126457643282694, max values: 3.096891534584617, median values: 0.5180597071972971, and quantile values: 0.25 -0.202607\n0.50 0.518060\n0.75 1.057779\nName: 1193, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16231790285759612, std values: 0.8665462175251695, min values: -2.061237435183259, max values: 5.0, median values: -0.177537878309175, and quantile values: 0.25 -0.823511\n0.50 -0.177538\n0.75 0.496480\nName: 1194, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02886995524251206, std values: 0.7243120061467071, min values: -2.0636979543884086, max values: 3.2936960268109283, median values: -0.0275978945790723, and quantile values: 0.25 -0.515951\n0.50 -0.027598\n0.75 0.377017\nName: 1195, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2862448318134097, std values: 0.777212731796907, min values: -2.3893642989164, max values: 3.867701659180865, median values: -0.3110718641865286, and quantile values: 0.25 -0.785373\n0.50 -0.311072\n0.75 0.142286\nName: 1196, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14114977907904647, std values: 0.8140340604314108, min values: -1.9687809869968595, max values: 3.455472209455805, median values: -0.1420837632420379, and quantile values: 0.25 -0.693349\n0.50 -0.142084\n0.75 0.383496\nName: 1197, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6314417595619973, std values: 0.960003716235937, min values: -2.572123985342288, max values: 5.0, median values: -0.7560455186846581, and quantile values: 0.25 -1.404968\n0.50 -0.756046\n0.75 -0.001773\nName: 1198, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05377574056673937, std values: 0.9508620868195544, min values: -3.307038206418975, max values: 3.379902545505621, median values: -0.0863257711504682, and quantile values: 0.25 -0.738832\n0.50 -0.086326\n0.75 0.625770\nName: 1199, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.46158974112503887, std values: 0.9102959992702953, min values: -2.0207160942359104, max values: 5.0, median values: 0.5124083702678005, and quantile values: 0.25 -0.200335\n0.50 0.512408\n0.75 1.183787\nName: 1200, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3343204827706855, std values: 0.8827560557184984, min values: -2.295489198048052, max values: 3.5021977227593246, median values: -0.4697447331625308, and quantile values: 0.25 -0.999675\n0.50 -0.469745\n0.75 0.263513\nName: 1201, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14615895913284357, std values: 0.7510945476624508, min values: -2.2272703849889663, max values: 3.258347009006034, median values: 0.1286597377248903, and quantile values: 0.25 -0.344813\n0.50 0.128660\n0.75 0.610203\nName: 1202, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.004209465648747081, std values: 0.9303130703621451, min values: -2.558791007225312, max values: 3.627976272701048, median values: -0.0111261120224956, and quantile values: 0.25 -0.707241\n0.50 -0.011126\n0.75 0.678873\nName: 1203, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03981444449000499, std values: 0.8641062320023755, min values: -2.2065783767301927, max values: 6.0, median values: -0.1386628879924913, and quantile values: 0.25 -0.698014\n0.50 -0.138663\n0.75 0.524493\nName: 1204, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29304917887785176, std values: 1.01435866527377, min values: -2.103263298070576, max values: 4.0, median values: -0.4867834814319109, and quantile values: 0.25 -1.005500\n0.50 -0.486783\n0.75 0.238303\nName: 1205, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15461013891505115, std values: 0.8399781038040841, min values: -2.135989967468323, max values: 4.0, median values: 0.2165703721667526, and quantile values: 0.25 -0.464368\n0.50 0.216570\n0.75 0.793150\nName: 1206, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23770451892386144, std values: 1.3305833839974925, min values: -2.8547740449753216, max values: 5.0, median values: 0.3432642243061183, and quantile values: 0.25 -0.720182\n0.50 0.343264\n0.75 1.366977\nName: 1207, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23289884240072123, std values: 1.061727094592324, min values: -3.1106274661862896, max values: 3.135426854633533, median values: -0.1549202346709272, and quantile values: 0.25 -1.059033\n0.50 -0.154920\n0.75 0.531639\nName: 1208, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5332464260605078, std values: 1.178117229110643, min values: -3.124705982383478, max values: 3.2701555622463814, median values: -0.5042325827936941, and quantile values: 0.25 -1.377185\n0.50 -0.504233\n0.75 0.356138\nName: 1209, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49652256357767083, std values: 0.9614887935229894, min values: -2.5774281843044924, max values: 4.0, median values: 0.5484102506312685, and quantile values: 0.25 -0.120167\n0.50 0.548410\n0.75 1.128468\nName: 1210, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10069924872434356, std values: 0.8320985119536974, min values: -2.117042895443173, max values: 4.0, median values: -0.2110768287127046, and quantile values: 0.25 -0.693664\n0.50 -0.211077\n0.75 0.434447\nName: 1211, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29563123637731836, std values: 0.8157129469459848, min values: -2.662750916816848, max values: 5.0, median values: 0.3079228110141838, and quantile values: 0.25 -0.206173\n0.50 0.307923\n0.75 0.796424\nName: 1212, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.019486626675541643, std values: 1.0979447163957632, min values: -2.8834699678265463, max values: 5.0, median values: 0.1177265450671177, and quantile values: 0.25 -0.656414\n0.50 0.117727\n0.75 0.629258\nName: 1213, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4585826812746942, std values: 0.8582617278905121, min values: -2.2340979937424703, max values: 5.0, median values: -0.5410312447641927, and quantile values: 0.25 -1.142830\n0.50 -0.541031\n0.75 0.097624\nName: 1214, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06151666339727137, std values: 1.110038201264534, min values: -2.64479559868397, max values: 6.0, median values: 0.0599890454008418, and quantile values: 0.25 -0.560832\n0.50 0.059989\n0.75 0.811509\nName: 1215, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15328331986846994, std values: 0.9527530972082603, min values: -2.745904427753044, max values: 5.0, median values: -0.2599501593146466, and quantile values: 0.25 -0.917683\n0.50 -0.259950\n0.75 0.468449\nName: 1216, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27799085577376137, std values: 0.844229119304016, min values: -2.783691185534105, max values: 3.528773265847577, median values: -0.3589345741518401, and quantile values: 0.25 -0.874614\n0.50 -0.358935\n0.75 0.263616\nName: 1217, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12930001498991392, std values: 0.8001157928738969, min values: -2.620939317041317, max values: 4.0, median values: 0.1870652206204849, and quantile values: 0.25 -0.418492\n0.50 0.187065\n0.75 0.683228\nName: 1218, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5600616653802867, std values: 0.7483877700886165, min values: -2.035433106585047, max values: 4.0, median values: 0.6163431457621854, and quantile values: 0.25 0.130743\n0.50 0.616343\n0.75 1.033917\nName: 1219, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19533693239240704, std values: 0.9617582379091312, min values: -2.4902145713898545, max values: 3.8226908388056136, median values: -0.1903613212112331, and quantile values: 0.25 -0.800715\n0.50 -0.190361\n0.75 0.447924\nName: 1220, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44228230503325555, std values: 0.9329816029686079, min values: -2.189738911855601, max values: 6.0, median values: -0.5999076784798998, and quantile values: 0.25 -1.176825\n0.50 -0.599908\n0.75 0.166036\nName: 1221, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23135539904244748, std values: 0.8006410665645702, min values: -2.632854336056873, max values: 3.0, median values: 0.1889361939467356, and quantile values: 0.25 -0.268877\n0.50 0.188936\n0.75 0.755448\nName: 1222, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26909432093817776, std values: 1.0258491313441824, min values: -2.622709665346679, max values: 4.026668017837955, median values: 0.3735416794989626, and quantile values: 0.25 -0.401955\n0.50 0.373542\n0.75 1.020936\nName: 1223, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08101911139451415, std values: 0.9001236945671952, min values: -2.783691185534105, max values: 3.784832159836258, median values: 0.1130002452911314, and quantile values: 0.25 -0.600049\n0.50 0.113000\n0.75 0.773396\nName: 1224, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20497623919363464, std values: 0.8551625584431775, min values: -2.1227739687253626, max values: 3.784832159836258, median values: -0.1891885173009573, and quantile values: 0.25 -0.837273\n0.50 -0.189189\n0.75 0.340607\nName: 1225, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23438977350106874, std values: 0.9796223282457712, min values: -2.5820330744015787, max values: 4.0, median values: 0.3134405850456324, and quantile values: 0.25 -0.399521\n0.50 0.313441\n0.75 0.894980\nName: 1226, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40140015725271605, std values: 1.067220276517881, min values: -2.1144606839090367, max values: 3.036311757241655, median values: 0.3433518572539459, and quantile values: 0.25 -0.432638\n0.50 0.343352\n0.75 1.332568\nName: 1227, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45872728188416434, std values: 0.8013696756687326, min values: -2.4737574649270093, max values: 3.0, median values: -0.5296796187071814, and quantile values: 0.25 -1.019107\n0.50 -0.529680\n0.75 0.014844\nName: 1228, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25430920274316077, std values: 0.8443026765422537, min values: -2.0933077918561027, max values: 3.1395741599540568, median values: 0.2515843740034015, and quantile values: 0.25 -0.289091\n0.50 0.251584\n0.75 0.785823\nName: 1229, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.025202305228379653, std values: 0.801064379962604, min values: -1.978435600463218, max values: 3.518664430018096, median values: -0.0731269202338566, and quantile values: 0.25 -0.561220\n0.50 -0.073127\n0.75 0.428360\nName: 1230, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04933859346959694, std values: 0.9892901143574879, min values: -2.778044916685896, max values: 3.0, median values: 0.137488424767601, and quantile values: 0.25 -0.497668\n0.50 0.137488\n0.75 0.734786\nName: 1231, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20265648200191191, std values: 1.0560203879029337, min values: -2.9898739724800576, max values: 3.627976272701048, median values: 0.2058411917704125, and quantile values: 0.25 -0.644744\n0.50 0.205841\n0.75 1.085060\nName: 1232, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08253153339061678, std values: 0.8440409093848795, min values: -2.6117120822772133, max values: 5.0, median values: -0.0239676820355329, and quantile values: 0.25 -0.732623\n0.50 -0.023968\n0.75 0.539916\nName: 1233, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.47842614323674093, std values: 0.9233078433695403, min values: -2.5293911731823453, max values: 3.379902545505621, median values: -0.4596868500557169, and quantile values: 0.25 -0.967095\n0.50 -0.459687\n0.75 0.109504\nName: 1234, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08547365225597336, std values: 1.0782175708914652, min values: -2.8164291268114208, max values: 3.216771431244405, median values: 0.1574632322771006, and quantile values: 0.25 -0.688943\n0.50 0.157463\n0.75 0.668464\nName: 1235, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17160755664824182, std values: 0.8153618644649676, min values: -2.673124659932621, max values: 6.0, median values: -0.2589203528138771, and quantile values: 0.25 -0.705512\n0.50 -0.258920\n0.75 0.283066\nName: 1236, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16020266437429798, std values: 0.7334977174478269, min values: -2.4960309093026924, max values: 3.670892362631932, median values: 0.2025231011300693, and quantile values: 0.25 -0.318132\n0.50 0.202523\n0.75 0.653956\nName: 1237, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12253625502642619, std values: 0.9842933256543626, min values: -2.572123985342288, max values: 4.0, median values: -0.0078487848064079, and quantile values: 0.25 -0.577549\n0.50 -0.007849\n0.75 0.759352\nName: 1238, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28874373875164266, std values: 0.9353840582240034, min values: -2.928515832252388, max values: 3.397048482165858, median values: 0.3668357520623557, and quantile values: 0.25 -0.247720\n0.50 0.366836\n0.75 0.868654\nName: 1239, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45185004893437336, std values: 0.9552558284879322, min values: -2.8164291268114208, max values: 2.920585992232296, median values: -0.5082895825830217, and quantile values: 0.25 -1.222634\n0.50 -0.508290\n0.75 0.210851\nName: 1240, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39914158430694346, std values: 0.9156642646108557, min values: -2.590643619371846, max values: 4.0, median values: 0.5024084111521249, and quantile values: 0.25 -0.141639\n0.50 0.502408\n0.75 1.047361\nName: 1241, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21053714026215378, std values: 0.9401218099954058, min values: -2.842989614395848, max values: 5.0, median values: -0.1824919642496793, and quantile values: 0.25 -0.730896\n0.50 -0.182492\n0.75 0.321553\nName: 1242, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13059123891129928, std values: 0.8331395670430197, min values: -2.1798712735263623, max values: 3.598076523509904, median values: 0.1834160993138744, and quantile values: 0.25 -0.420236\n0.50 0.183416\n0.75 0.656953\nName: 1243, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.040609185791404344, std values: 1.113948927491588, min values: -2.739804196611005, max values: 6.0, median values: 0.0880576609496422, and quantile values: 0.25 -0.773141\n0.50 0.088058\n0.75 0.777099\nName: 1244, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.023057438351194396, std values: 0.898902666538913, min values: -2.5953860446419177, max values: 3.025409039429847, median values: -0.0186723435099332, and quantile values: 0.25 -0.505221\n0.50 -0.018672\n0.75 0.601138\nName: 1245, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.329378248697059, std values: 0.7969468168110693, min values: -2.041071882478405, max values: 6.0, median values: 0.3928060235059031, and quantile values: 0.25 -0.235745\n0.50 0.392806\n0.75 0.909128\nName: 1246, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26976520514742086, std values: 0.8647253630624023, min values: -2.521882829270847, max values: 4.0, median values: 0.3879319963859178, and quantile values: 0.25 -0.239635\n0.50 0.387932\n0.75 0.843124\nName: 1247, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7958860301469043, std values: 0.8055793313473897, min values: -1.8288909769342152, max values: 4.026668017837955, median values: 0.8480917377085113, and quantile values: 0.25 0.303796\n0.50 0.848092\n0.75 1.288177\nName: 1248, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0005452882657723101, std values: 0.7548471972798708, min values: -2.095235858466877, max values: 5.0, median values: 0.0012289945416046, and quantile values: 0.25 -0.513718\n0.50 0.001229\n0.75 0.464917\nName: 1249, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17706832627885077, std values: 0.8750019762822198, min values: -2.662750916816848, max values: 5.0, median values: 0.0907865184133804, and quantile values: 0.25 -0.404364\n0.50 0.090787\n0.75 0.683791\nName: 1250, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2681019130385043, std values: 0.9112169475573698, min values: -2.623568901859613, max values: 4.0, median values: -0.3167132192065456, and quantile values: 0.25 -0.919207\n0.50 -0.316713\n0.75 0.345531\nName: 1251, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05028989359277199, std values: 0.8539358803080643, min values: -2.0897492665563764, max values: 3.312693232344632, median values: -0.0992859928714512, and quantile values: 0.25 -0.626233\n0.50 -0.099286\n0.75 0.514943\nName: 1252, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.052716562259664035, std values: 0.9144930041244984, min values: -2.6635706018350787, max values: 3.0, median values: 0.1121821631225159, and quantile values: 0.25 -0.458973\n0.50 0.112182\n0.75 0.633661\nName: 1253, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4837041752225548, std values: 1.069267795704324, min values: -2.5774281843044924, max values: 6.0, median values: 0.5434357049756159, and quantile values: 0.25 -0.317912\n0.50 0.543436\n0.75 1.332855\nName: 1254, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16080196963567953, std values: 0.8982038392813948, min values: -2.6072570508709387, max values: 4.0, median values: 0.1753001796704088, and quantile values: 0.25 -0.327358\n0.50 0.175300\n0.75 0.716831\nName: 1255, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43431580478869075, std values: 0.8339308030811626, min values: -2.5879430435308, max values: 3.155170554159904, median values: 0.5196985747542369, and quantile values: 0.25 -0.109790\n0.50 0.519699\n0.75 1.029170\nName: 1256, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38561978857315726, std values: 0.9050989135383205, min values: -2.869671295224012, max values: 6.0, median values: -0.3729349561055547, and quantile values: 0.25 -0.884344\n0.50 -0.372935\n0.75 0.170799\nName: 1257, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06122754584400931, std values: 0.7779038905933239, min values: -2.09925610156575, max values: 3.721862465295849, median values: -0.030587817844219, and quantile values: 0.25 -0.614772\n0.50 -0.030588\n0.75 0.459739\nName: 1258, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0643684219813634, std values: 0.7597368636723272, min values: -1.9902700503252555, max values: 4.243835016543704, median values: -0.0860411018539565, and quantile values: 0.25 -0.576476\n0.50 -0.086041\n0.75 0.374310\nName: 1259, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18241304974836584, std values: 1.0721048749981041, min values: -2.933035609461076, max values: 5.0, median values: 0.2099652809533531, and quantile values: 0.25 -0.581924\n0.50 0.209965\n0.75 1.058180\nName: 1260, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17374065833063362, std values: 0.9685823196313158, min values: -2.169311742921253, max values: 6.0, median values: -0.2674778107860768, and quantile values: 0.25 -0.957407\n0.50 -0.267478\n0.75 0.453564\nName: 1261, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12689844326733427, std values: 0.8020642260440588, min values: -2.267175988438518, max values: 5.0, median values: -0.1839153749234093, and quantile values: 0.25 -0.651216\n0.50 -0.183915\n0.75 0.330716\nName: 1262, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2516532018438848, std values: 0.8296891456797193, min values: -2.221724767747256, max values: 3.197902420311553, median values: -0.3370636172706136, and quantile values: 0.25 -0.826259\n0.50 -0.337064\n0.75 0.276092\nName: 1263, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5593813363133052, std values: 0.8424029538704834, min values: -2.240740315114864, max values: 4.0, median values: 0.6079159155046382, and quantile values: 0.25 0.024062\n0.50 0.607916\n0.75 1.136727\nName: 1264, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23306522510653638, std values: 0.8051210508999398, min values: -2.271143658239337, max values: 6.0, median values: -0.2719330758527294, and quantile values: 0.25 -0.769724\n0.50 -0.271933\n0.75 0.212841\nName: 1265, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3218852193614503, std values: 0.9210367144086063, min values: -2.064625266659693, max values: 3.258347009006034, median values: 0.3783888807898888, and quantile values: 0.25 -0.288431\n0.50 0.378389\n0.75 0.919165\nName: 1266, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23653796179717126, std values: 1.0743714483996352, min values: -2.622709665346679, max values: 3.258347009006034, median values: 0.1936201714148175, and quantile values: 0.25 -0.515429\n0.50 0.193620\n0.75 1.003265\nName: 1267, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5349976809325762, std values: 0.8219363429608708, min values: -2.801183634509044, max values: 5.0, median values: -0.6445720222274778, and quantile values: 0.25 -1.151186\n0.50 -0.644572\n0.75 -0.041844\nName: 1268, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19766057896720476, std values: 0.8770327476063973, min values: -2.64479559868397, max values: 6.0, median values: 0.2464756217958101, and quantile values: 0.25 -0.260974\n0.50 0.246476\n0.75 0.719825\nName: 1269, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19697351292635581, std values: 0.9928103388308371, min values: -2.6023368942328267, max values: 3.0, median values: 0.1892543724417182, and quantile values: 0.25 -0.558006\n0.50 0.189254\n0.75 1.005496\nName: 1270, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22494812014521284, std values: 0.773827828986321, min values: -2.321103531050575, max values: 4.0, median values: 0.201370728851404, and quantile values: 0.25 -0.229505\n0.50 0.201371\n0.75 0.686187\nName: 1271, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18691590887994747, std values: 0.7958753407846182, min values: -2.1695974540436334, max values: 4.0, median values: 0.2730477325635829, and quantile values: 0.25 -0.389833\n0.50 0.273048\n0.75 0.733156\nName: 1272, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7103222846725379, std values: 0.7774374512129381, min values: -2.620939317041317, max values: 3.477886732511886, median values: -0.8064925700247577, and quantile values: 0.25 -1.283746\n0.50 -0.806493\n0.75 -0.294332\nName: 1273, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5011758989987781, std values: 0.978368382532709, min values: -2.982771139679002, max values: 4.0, median values: -0.611748537589223, and quantile values: 0.25 -1.195972\n0.50 -0.611749\n0.75 0.152189\nName: 1274, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01952841230365787, std values: 0.8456097232066878, min values: -2.6023368942328267, max values: 3.627976272701048, median values: -0.0277907437118672, and quantile values: 0.25 -0.659354\n0.50 -0.027791\n0.75 0.643202\nName: 1275, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08867394068618158, std values: 1.1014754745294968, min values: -3.101800431129944, max values: 6.0, median values: -0.1033245315231054, and quantile values: 0.25 -0.971387\n0.50 -0.103325\n0.75 0.805936\nName: 1276, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9394804867631115, std values: 1.3886840534022604, min values: -2.727901130262228, max values: 4.0, median values: -1.6839318674260728, and quantile values: 0.25 -2.140406\n0.50 -1.683932\n0.75 0.378773\nName: 1277, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44990328769136273, std values: 0.8796113419189402, min values: -2.6023368942328267, max values: 4.026668017837955, median values: -0.5483734852668128, and quantile values: 0.25 -1.108020\n0.50 -0.548373\n0.75 0.089457\nName: 1278, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12225680363443493, std values: 1.0652534677978112, min values: -3.1070421433302986, max values: 3.477886732511886, median values: -0.1525794275399765, and quantile values: 0.25 -0.815727\n0.50 -0.152579\n0.75 0.576281\nName: 1279, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4219232887228127, std values: 1.2911731329428453, min values: -2.6710294992370565, max values: 4.278004674434932, median values: 0.1771409360026794, and quantile values: 0.25 -0.533600\n0.50 0.177141\n0.75 1.274321\nName: 1280, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1573881628698338, std values: 0.9595543478072784, min values: -2.139854677126992, max values: 3.670892362631932, median values: -0.2229463837253699, and quantile values: 0.25 -0.929423\n0.50 -0.222946\n0.75 0.494354\nName: 1281, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.405242560080582, std values: 0.8124897242951228, min values: -2.673549169958716, max values: 6.0, median values: 0.4096526632181907, and quantile values: 0.25 -0.068047\n0.50 0.409653\n0.75 0.857623\nName: 1282, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.018715519331227955, std values: 0.8493773169235589, min values: -2.8834699678265463, max values: 5.0, median values: 0.029195819044774, and quantile values: 0.25 -0.461842\n0.50 0.029196\n0.75 0.507068\nName: 1283, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2868259473070433, std values: 0.8974996344447516, min values: -2.5865998018211966, max values: 5.0, median values: -0.3679369640151733, and quantile values: 0.25 -0.973035\n0.50 -0.367937\n0.75 0.308281\nName: 1284, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07487553986840674, std values: 0.9549646463401725, min values: -2.928515832252388, max values: 3.1395741599540568, median values: 0.1932019557764531, and quantile values: 0.25 -0.551893\n0.50 0.193202\n0.75 0.786499\nName: 1285, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.1368972948294105, std values: 1.1866405503781092, min values: -2.727901130262228, max values: 4.0, median values: -1.6733911655889206, and quantile values: 0.25 -2.145101\n0.50 -1.673391\n0.75 -0.185181\nName: 1286, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.050916194762657074, std values: 1.1158716675292462, min values: -2.928515832252388, max values: 5.0, median values: -0.0508043398409046, and quantile values: 0.25 -0.663920\n0.50 -0.050804\n0.75 0.834929\nName: 1287, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0745771113509353, std values: 1.2503271025778346, min values: -2.727901130262228, max values: 4.0, median values: -1.637231680421859, and quantile values: 0.25 -2.140406\n0.50 -1.637232\n0.75 0.048654\nName: 1288, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.044324203042384706, std values: 0.7676221978742271, min values: -2.476285024008804, max values: 3.4217036547572275, median values: 0.0282469887298764, and quantile values: 0.25 -0.458925\n0.50 0.028247\n0.75 0.505722\nName: 1289, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4581729813950363, std values: 0.8243057772308342, min values: -2.45229857681487, max values: 3.0533207538164056, median values: 0.4889548612503987, and quantile values: 0.25 -0.110187\n0.50 0.488955\n0.75 1.062707\nName: 1290, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28488407594275494, std values: 0.8351547680550535, min values: -2.060926614662576, max values: 3.784832159836258, median values: -0.3939962230730194, and quantile values: 0.25 -0.896464\n0.50 -0.393996\n0.75 0.216570\nName: 1291, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.037525458396713916, std values: 0.7126693515325343, min values: -2.196181211030292, max values: 2.557544668063989, median values: -0.0493215657663754, and quantile values: 0.25 -0.511206\n0.50 -0.049322\n0.75 0.399836\nName: 1292, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5492766949442374, std values: 0.7933256086120594, min values: -2.0441770656208704, max values: 3.236860296211547, median values: 0.6274124245652817, and quantile values: 0.25 0.066793\n0.50 0.627412\n0.75 1.083465\nName: 1293, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5237645690135685, std values: 0.8701098621891088, min values: -2.688157591415518, max values: 5.0, median values: 0.5659844873407864, and quantile values: 0.25 -0.073807\n0.50 0.565984\n0.75 1.175283\nName: 1294, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17323115950903437, std values: 0.8105281733366524, min values: -2.02241615711966, max values: 3.496479817235339, median values: -0.2884632778343006, and quantile values: 0.25 -0.741657\n0.50 -0.288463\n0.75 0.334281\nName: 1295, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10330506735000042, std values: 0.9248637281414231, min values: -2.6466193392086392, max values: 4.0, median values: -0.100687416523707, and quantile values: 0.25 -0.766435\n0.50 -0.100687\n0.75 0.601831\nName: 1296, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1969987980986675, std values: 0.8941912131474722, min values: -2.2262971094910258, max values: 3.477886732511886, median values: -0.2797520667762861, and quantile values: 0.25 -0.870745\n0.50 -0.279752\n0.75 0.390093\nName: 1297, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6998084869986039, std values: 0.9672283470843558, min values: -2.2915911556076085, max values: 3.709787027503053, median values: 0.7351468654355835, and quantile values: 0.25 0.029524\n0.50 0.735147\n0.75 1.357562\nName: 1298, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5852355273005915, std values: 0.9888763242197176, min values: -2.174309863242296, max values: 3.258347009006034, median values: 0.5445866647269435, and quantile values: 0.25 -0.140693\n0.50 0.544587\n0.75 1.379018\nName: 1299, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7002426599274485, std values: 0.9164322975477818, min values: -1.9127442668644297, max values: 4.0, median values: 0.7549765317407646, and quantile values: 0.25 0.017018\n0.50 0.754977\n0.75 1.431146\nName: 1300, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06767320831654351, std values: 0.779542856815233, min values: -2.6635706018350787, max values: 4.026668017837955, median values: -0.0833845215055958, and quantile values: 0.25 -0.578037\n0.50 -0.083385\n0.75 0.379226\nName: 1301, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49969581047111766, std values: 0.8649528591662723, min values: -2.6115251494731915, max values: 5.0, median values: 0.4972584449197745, and quantile values: 0.25 -0.000523\n0.50 0.497258\n0.75 0.996094\nName: 1302, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1998029357454936, std values: 0.9198916945284085, min values: -2.0744688186280063, max values: 3.667275230673496, median values: 0.1035383829079225, and quantile values: 0.25 -0.485761\n0.50 0.103538\n0.75 0.845656\nName: 1303, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16398243872728135, std values: 0.8610319265620885, min values: -2.062772413318988, max values: 6.0, median values: 0.1021001098807694, and quantile values: 0.25 -0.432561\n0.50 0.102100\n0.75 0.755479\nName: 1304, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10106014076008529, std values: 0.9597604033466213, min values: -2.098259549910112, max values: 3.390469008396469, median values: -0.0577269063212767, and quantile values: 0.25 -0.624230\n0.50 -0.057727\n0.75 0.728895\nName: 1305, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17271116123783367, std values: 0.9049852855231877, min values: -2.5879430435308, max values: 3.025409039429847, median values: 0.1819599572265904, and quantile values: 0.25 -0.477465\n0.50 0.181960\n0.75 0.905719\nName: 1306, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26986204668509806, std values: 0.9348459767665656, min values: -2.240740315114864, max values: 4.0, median values: 0.207501085038793, and quantile values: 0.25 -0.355940\n0.50 0.207501\n0.75 0.841305\nName: 1307, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16362961612626056, std values: 0.7846278514378002, min values: -2.3315371009945123, max values: 4.0, median values: -0.1066278805273492, and quantile values: 0.25 -0.745070\n0.50 -0.106628\n0.75 0.336699\nName: 1308, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20650074637793386, std values: 0.8753673297994009, min values: -2.605844844843939, max values: 4.0, median values: -0.1553577984527166, and quantile values: 0.25 -0.731920\n0.50 -0.155358\n0.75 0.314185\nName: 1309, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2531500149969853, std values: 0.8219816516415042, min values: -2.7688682710567485, max values: 4.026668017837955, median values: -0.3458322575366627, and quantile values: 0.25 -0.810438\n0.50 -0.345832\n0.75 0.226036\nName: 1310, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3814273320684207, std values: 1.1017576998581489, min values: -2.5624611946462936, max values: 5.0, median values: -0.406886422630816, and quantile values: 0.25 -1.322527\n0.50 -0.406886\n0.75 0.398932\nName: 1311, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06677918988133537, std values: 0.9418456908763799, min values: -2.5825978442440407, max values: 6.0, median values: -0.0766033786568957, and quantile values: 0.25 -0.804106\n0.50 -0.076603\n0.75 0.596431\nName: 1312, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.061427579766295, std values: 1.2442830150807263, min values: -2.6320986139293034, max values: 3.784832159836258, median values: 0.1530378334522064, and quantile values: 0.25 -0.990906\n0.50 0.153038\n0.75 0.856549\nName: 1313, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2850627294599141, std values: 0.8651324437545951, min values: -2.07528248991344, max values: 3.569037956734876, median values: -0.3912916599179298, and quantile values: 0.25 -0.954226\n0.50 -0.391292\n0.75 0.280058\nName: 1314, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10527857488198662, std values: 0.8551533270386081, min values: -2.949186837165601, max values: 4.0, median values: -0.0501971257287377, and quantile values: 0.25 -0.629996\n0.50 -0.050197\n0.75 0.441874\nName: 1315, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02721439846217038, std values: 0.9308113791049911, min values: -2.673549169958716, max values: 6.0, median values: 0.1353548048085485, and quantile values: 0.25 -0.478893\n0.50 0.135355\n0.75 0.637661\nName: 1316, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0023839078070751235, std values: 0.8587317335917191, min values: -2.5820330744015787, max values: 4.0, median values: 0.0271295509440023, and quantile values: 0.25 -0.527563\n0.50 0.027130\n0.75 0.560486\nName: 1317, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10545304014061578, std values: 1.2177256431019212, min values: -2.955641696055872, max values: 2.753152983622478, median values: 0.1611107767698554, and quantile values: 0.25 -0.754034\n0.50 0.161111\n0.75 0.692777\nName: 1318, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6340293747451687, std values: 1.1309806914259255, min values: -2.177082151470356, max values: 6.0, median values: 0.8605701343522135, and quantile values: 0.25 -0.151576\n0.50 0.860570\n0.75 1.519959\nName: 1319, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6754712386886287, std values: 0.9418844190208876, min values: -2.6603025395856053, max values: 5.0, median values: -0.828119680959048, and quantile values: 0.25 -1.434974\n0.50 -0.828120\n0.75 -0.058860\nName: 1320, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2479895037360055, std values: 1.2936505323840921, min values: -2.641174291463747, max values: 6.0, median values: 0.2788673800265746, and quantile values: 0.25 -0.659830\n0.50 0.278867\n0.75 1.252585\nName: 1321, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3632401748846984, std values: 1.1029780679048513, min values: -3.388351014295885, max values: 3.1801075704642923, median values: 0.4252276013909944, and quantile values: 0.25 -0.343352\n0.50 0.425228\n0.75 1.233446\nName: 1322, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3331014425116872, std values: 0.912466230659869, min values: -2.641174291463747, max values: 6.0, median values: -0.3849971978717472, and quantile values: 0.25 -0.965963\n0.50 -0.384997\n0.75 0.248459\nName: 1323, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12681400525431444, std values: 0.8298179162019024, min values: -2.475778245535816, max values: 4.0, median values: 0.0481021841315054, and quantile values: 0.25 -0.461729\n0.50 0.048102\n0.75 0.703301\nName: 1324, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07687895794553308, std values: 0.8948628778796645, min values: -2.982771139679002, max values: 4.0, median values: -0.0252011387244754, and quantile values: 0.25 -0.667935\n0.50 -0.025201\n0.75 0.546906\nName: 1325, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0841296605983087, std values: 0.7986926506900234, min values: -2.2915911556076085, max values: 4.026668017837955, median values: -0.1016614035021067, and quantile values: 0.25 -0.609812\n0.50 -0.101661\n0.75 0.387873\nName: 1326, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12826242551356137, std values: 0.8443976436270291, min values: -2.005260744944291, max values: 5.0, median values: 0.1417365702526127, and quantile values: 0.25 -0.495556\n0.50 0.141737\n0.75 0.795347\nName: 1327, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3235558363252104, std values: 0.9577944277391831, min values: -3.307038206418975, max values: 3.528773265847577, median values: 0.3217428490030372, and quantile values: 0.25 -0.288020\n0.50 0.321743\n0.75 0.926754\nName: 1328, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1969367230833099, std values: 0.9423735164485282, min values: -2.497627580948261, max values: 3.3636961113187773, median values: -0.1362720224521142, and quantile values: 0.25 -0.856554\n0.50 -0.136272\n0.75 0.507483\nName: 1329, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38256654681703967, std values: 0.9067388666437614, min values: -2.928515832252388, max values: 3.721862465295849, median values: 0.5188157191818132, and quantile values: 0.25 -0.090507\n0.50 0.518816\n0.75 0.970344\nName: 1330, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8026106488909548, std values: 0.9478480585314677, min values: -1.9918692121535213, max values: 3.4566816047670264, median values: 0.9240030366580686, and quantile values: 0.25 0.322689\n0.50 0.924003\n0.75 1.435623\nName: 1331, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33032061748749425, std values: 1.0036239164546195, min values: -2.6270253558526173, max values: 4.0, median values: -0.3666082464769138, and quantile values: 0.25 -1.099059\n0.50 -0.366608\n0.75 0.401597\nName: 1332, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07271961597160174, std values: 0.7917603498457015, min values: -2.003475715174165, max values: 6.0, median values: -0.1608596903323943, and quantile values: 0.25 -0.633322\n0.50 -0.160860\n0.75 0.434975\nName: 1333, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.46308481816524233, std values: 0.7762972747324635, min values: -2.525881048269423, max values: 3.627976272701048, median values: 0.5049081074411794, and quantile values: 0.25 -0.022029\n0.50 0.504908\n0.75 0.930324\nName: 1334, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3160579035892349, std values: 0.8710384621771651, min values: -2.7825548156447035, max values: 6.0, median values: 0.412893421847414, and quantile values: 0.25 -0.276387\n0.50 0.412893\n0.75 0.947604\nName: 1335, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7499829613632356, std values: 1.0305174172190263, min values: -2.8563982925340614, max values: 5.0, median values: -0.8484298265712447, and quantile values: 0.25 -1.550551\n0.50 -0.848430\n0.75 -0.043572\nName: 1336, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09574043406552687, std values: 0.8828538026093947, min values: -2.233577636815252, max values: 3.1888787873512885, median values: 0.1839634503772801, and quantile values: 0.25 -0.567650\n0.50 0.183963\n0.75 0.735869\nName: 1337, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1459340676061769, std values: 0.8699763059865178, min values: -2.1222500742240245, max values: 3.415255285860171, median values: 0.213494138831289, and quantile values: 0.25 -0.433388\n0.50 0.213494\n0.75 0.696236\nName: 1338, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05193947917904328, std values: 1.0166016354951266, min values: -2.161181455793125, max values: 6.0, median values: -0.1398747130202876, and quantile values: 0.25 -0.878617\n0.50 -0.139875\n0.75 0.702635\nName: 1339, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39778730581615623, std values: 1.0730675655051078, min values: -2.6668673616981367, max values: 4.0, median values: -0.4509403787638463, and quantile values: 0.25 -1.316882\n0.50 -0.450940\n0.75 0.377804\nName: 1340, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06447922961719614, std values: 0.8639524335599219, min values: -2.673549169958716, max values: 6.0, median values: -0.0056486766064122, and quantile values: 0.25 -0.628251\n0.50 -0.005649\n0.75 0.479479\nName: 1341, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2587049964262027, std values: 0.9917918156612133, min values: -2.618746139350171, max values: 4.026668017837955, median values: -0.3278968111630668, and quantile values: 0.25 -0.870624\n0.50 -0.327897\n0.75 0.307288\nName: 1342, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6986946355860516, std values: 0.9449479182332926, min values: -1.8096007162313483, max values: 5.0, median values: 0.7909182742069644, and quantile values: 0.25 0.012558\n0.50 0.790918\n0.75 1.414755\nName: 1343, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26631109778879447, std values: 0.8363521198381682, min values: -2.3808324358856225, max values: 3.1801075704642923, median values: -0.3127198439508739, and quantile values: 0.25 -0.884448\n0.50 -0.312720\n0.75 0.259385\nName: 1344, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07339979022294768, std values: 0.8308944240262264, min values: -2.5682675825126706, max values: 5.0, median values: 0.1147044190968205, and quantile values: 0.25 -0.512274\n0.50 0.114704\n0.75 0.634975\nName: 1345, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28719813859716437, std values: 0.7968251030465444, min values: -2.7825548156447035, max values: 6.0, median values: 0.3574663756438959, and quantile values: 0.25 -0.219475\n0.50 0.357466\n0.75 0.787369\nName: 1346, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10009084045990711, std values: 0.8333460153393283, min values: -2.507084845405409, max values: 3.0, median values: 0.1302149127117095, and quantile values: 0.25 -0.498845\n0.50 0.130215\n0.75 0.729242\nName: 1347, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3880046490125196, std values: 0.7634355503328738, min values: -2.7428415536925543, max values: 5.0, median values: -0.4151593814647034, and quantile values: 0.25 -0.906042\n0.50 -0.415159\n0.75 0.040663\nName: 1348, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12889255646764644, std values: 0.7495770312770688, min values: -2.419659473655063, max values: 4.0, median values: 0.1893006648794279, and quantile values: 0.25 -0.367701\n0.50 0.189301\n0.75 0.628586\nName: 1349, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15471185112898095, std values: 0.9223870866874677, min values: -2.7688682710567485, max values: 2.761618168473592, median values: -0.1193905578288, and quantile values: 0.25 -0.747205\n0.50 -0.119391\n0.75 0.434326\nName: 1350, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22778434298138947, std values: 0.8357825973651006, min values: -2.4737574649270093, max values: 3.667275230673496, median values: 0.2327821625276176, and quantile values: 0.25 -0.290987\n0.50 0.232782\n0.75 0.761435\nName: 1351, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05243073881623267, std values: 0.9609267380585386, min values: -2.4960309093026924, max values: 3.477886732511886, median values: -0.0432882933624068, and quantile values: 0.25 -0.751410\n0.50 -0.043288\n0.75 0.509167\nName: 1352, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2374071134059815, std values: 0.8812808977448999, min values: -1.7968676397817571, max values: 5.0, median values: 0.1991531088015995, and quantile values: 0.25 -0.430771\n0.50 0.199153\n0.75 0.863445\nName: 1353, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.076798473185738, std values: 0.8077123764064159, min values: -2.02927552142332, max values: 3.630507857092792, median values: 0.0575108018945288, and quantile values: 0.25 -0.479294\n0.50 0.057511\n0.75 0.595669\nName: 1354, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.9642495952208887, std values: 1.093722099950985, min values: -2.2837882496430213, max values: 4.0, median values: 0.9367865200968616, and quantile values: 0.25 0.143408\n0.50 0.936787\n0.75 1.863572\nName: 1355, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36179371513212255, std values: 0.7151805919757523, min values: -2.73836943861057, max values: 3.141939528112806, median values: 0.4263199087878769, and quantile values: 0.25 -0.056209\n0.50 0.426320\n0.75 0.804943\nName: 1356, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17309586986716274, std values: 1.0899676148880963, min values: -2.356752919287301, max values: 4.278004674434932, median values: 0.1061049717270574, and quantile values: 0.25 -0.717579\n0.50 0.106105\n0.75 1.000945\nName: 1357, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4801938604431121, std values: 0.840738750974715, min values: -2.6122411453164007, max values: 4.0, median values: -0.4883003978694166, and quantile values: 0.25 -1.043955\n0.50 -0.488300\n0.75 0.003616\nName: 1358, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15607099637009086, std values: 0.8645544564753085, min values: -1.9727801049916187, max values: 5.0, median values: -0.2971407664509214, and quantile values: 0.25 -0.808687\n0.50 -0.297141\n0.75 0.392181\nName: 1359, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13754712353673362, std values: 0.762221732400336, min values: -2.000349515680643, max values: 6.0, median values: -0.125568442195424, and quantile values: 0.25 -0.641457\n0.50 -0.125568\n0.75 0.307432\nName: 1360, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15418442320559247, std values: 0.8473041377923882, min values: -2.5046447434119337, max values: 4.0, median values: 0.2296142120599431, and quantile values: 0.25 -0.460265\n0.50 0.229614\n0.75 0.773879\nName: 1361, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08399296506188501, std values: 1.0264476019712299, min values: -2.607565022042742, max values: 4.0, median values: -0.0450626118502457, and quantile values: 0.25 -0.807077\n0.50 -0.045063\n0.75 0.702026\nName: 1362, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.008560492278242524, std values: 0.9264837884741389, min values: -2.842043939794492, max values: 3.760287110694155, median values: -0.0641170453442439, and quantile values: 0.25 -0.639167\n0.50 -0.064117\n0.75 0.641930\nName: 1363, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04465471866428114, std values: 0.7864788231858985, min values: -2.5689076212724418, max values: 5.0, median values: -0.0123375243156828, and quantile values: 0.25 -0.488780\n0.50 -0.012338\n0.75 0.536600\nName: 1364, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.432042784361879, std values: 1.010320532459839, min values: -2.687115288423959, max values: 5.0, median values: -0.5429131105791016, and quantile values: 0.25 -1.123156\n0.50 -0.542913\n0.75 0.145618\nName: 1365, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16894923297947914, std values: 0.8791960819065688, min values: -2.1502995050841665, max values: 3.280245386470253, median values: -0.2893503800775995, and quantile values: 0.25 -0.797463\n0.50 -0.289350\n0.75 0.415397\nName: 1366, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22090193412795825, std values: 0.8520425338309912, min values: -2.043287858674072, max values: 3.2071942083719924, median values: -0.2203215439828562, and quantile values: 0.25 -0.845757\n0.50 -0.220322\n0.75 0.338886\nName: 1367, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.017901786499317524, std values: 0.8662520655466481, min values: -2.0787527795044047, max values: 4.0, median values: 0.0121720703607581, and quantile values: 0.25 -0.640746\n0.50 0.012172\n0.75 0.529680\nName: 1368, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.054556941195427526, std values: 1.1313596590240125, min values: -2.732564679617164, max values: 3.1485882570365185, median values: 0.085637832280236, and quantile values: 0.25 -0.624130\n0.50 0.085638\n0.75 0.706578\nName: 1369, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5914693762600463, std values: 0.8730173028231947, min values: -2.5832619696830608, max values: 6.0, median values: 0.7473926109593984, and quantile values: 0.25 0.009446\n0.50 0.747393\n0.75 1.193907\nName: 1370, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4740027666509938, std values: 0.8340110018654785, min values: -2.461308921153724, max values: 3.1166497049712243, median values: 0.5320741908023151, and quantile values: 0.25 -0.099120\n0.50 0.532074\n0.75 1.104750\nName: 1371, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20684605553142282, std values: 1.642692113081914, min values: -2.982771139679002, max values: 4.0, median values: -0.1952479311722401, and quantile values: 0.25 -1.797224\n0.50 -0.195248\n0.75 1.271240\nName: 1372, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.47662245030274614, std values: 0.8481203164816083, min values: -2.9472833478224456, max values: 6.0, median values: -0.4875017430576455, and quantile values: 0.25 -1.017627\n0.50 -0.487502\n0.75 0.049511\nName: 1373, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29576296113021816, std values: 1.0869598525561441, min values: -2.842043939794492, max values: 3.670892362631932, median values: 0.2674839994656039, and quantile values: 0.25 -0.490405\n0.50 0.267484\n0.75 1.131063\nName: 1374, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.2256045051732574, std values: 1.1390552444483788, min values: -2.727901130262228, max values: 4.0, median values: -1.6988505925848862, and quantile values: 0.25 -2.140406\n0.50 -1.698851\n0.75 -0.301057\nName: 1375, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0702414338865982, std values: 0.8101240374667587, min values: -2.9278427058120164, max values: 6.0, median values: -0.1626340957963666, and quantile values: 0.25 -0.659799\n0.50 -0.162634\n0.75 0.470114\nName: 1376, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17720778772667176, std values: 0.9811740281883858, min values: -2.066007078712104, max values: 4.243835016543704, median values: 0.0947390713821679, and quantile values: 0.25 -0.578135\n0.50 0.094739\n0.75 0.829168\nName: 1377, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19094136139213885, std values: 0.8871090712312939, min values: -2.7510671817729784, max values: 6.0, median values: -0.2324417663827341, and quantile values: 0.25 -0.821039\n0.50 -0.232442\n0.75 0.399419\nName: 1378, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11408299735165207, std values: 0.8956425271523404, min values: -2.160415784529872, max values: 5.0, median values: 0.1143440525090516, and quantile values: 0.25 -0.516914\n0.50 0.114344\n0.75 0.738724\nName: 1379, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4509312440312754, std values: 0.905975920822205, min values: -1.9272844686686887, max values: 4.0, median values: 0.4921916465396908, and quantile values: 0.25 -0.198068\n0.50 0.492192\n0.75 1.178291\nName: 1380, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2289432267732265, std values: 0.9988885513581564, min values: -2.4502625580775623, max values: 5.0, median values: -0.3536233376273818, and quantile values: 0.25 -0.991221\n0.50 -0.353623\n0.75 0.390118\nName: 1381, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07103518738292489, std values: 0.9416730501225054, min values: -2.5961021427111413, max values: 3.667275230673496, median values: 0.1880754863522353, and quantile values: 0.25 -0.518157\n0.50 0.188075\n0.75 0.726658\nName: 1382, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30575238442012426, std values: 0.7693631883389009, min values: -1.8589023738024253, max values: 3.1395741599540568, median values: 0.3863588273851593, and quantile values: 0.25 -0.227782\n0.50 0.386359\n0.75 0.877767\nName: 1383, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33926709996077153, std values: 1.025724418410873, min values: -2.6660404517971856, max values: 4.0, median values: -0.1926722283824569, and quantile values: 0.25 -1.008872\n0.50 -0.192672\n0.75 0.378389\nName: 1384, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4399799867101061, std values: 0.8709335475114227, min values: -2.608390851963037, max values: 5.0, median values: -0.5420664526457635, and quantile values: 0.25 -1.021494\n0.50 -0.542066\n0.75 0.088710\nName: 1385, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24059891138803674, std values: 0.7904334392691291, min values: -2.103263298070576, max values: 3.598076523509904, median values: 0.2504000398111703, and quantile values: 0.25 -0.233575\n0.50 0.250400\n0.75 0.679468\nName: 1386, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04782633920295704, std values: 0.8862971074144428, min values: -2.5689076212724418, max values: 5.0, median values: -0.1473012252719493, and quantile values: 0.25 -0.677118\n0.50 -0.147301\n0.75 0.530192\nName: 1387, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.2284978997671747, std values: 1.1626532958847782, min values: -2.727901130262228, max values: 4.0, median values: -1.69985202848615, and quantile values: 0.25 -2.140874\n0.50 -1.699852\n0.75 -0.435597\nName: 1388, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.012169665172027345, std values: 0.8119763998554328, min values: -2.0854901680147853, max values: 3.2936960268109283, median values: -0.0929687753845906, and quantile values: 0.25 -0.575107\n0.50 -0.092969\n0.75 0.516887\nName: 1389, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.016938639759476442, std values: 0.8107019024787825, min values: -2.5759052915632985, max values: 3.0932086550988465, median values: -0.0788791582620791, and quantile values: 0.25 -0.512902\n0.50 -0.078879\n0.75 0.405331\nName: 1390, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42165431940285303, std values: 0.9266386161189664, min values: -2.673124659932621, max values: 6.0, median values: 0.527505367772249, and quantile values: 0.25 -0.118087\n0.50 0.527505\n0.75 1.102491\nName: 1391, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1641539454153488, std values: 0.9421705564917112, min values: -2.109891368636471, max values: 5.0, median values: -0.2770986603505369, and quantile values: 0.25 -0.893465\n0.50 -0.277099\n0.75 0.430641\nName: 1392, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.047104907859733425, std values: 0.7732120940599019, min values: -2.1775880058603043, max values: 3.176672644814091, median values: -0.0415141111446779, and quantile values: 0.25 -0.571086\n0.50 -0.041514\n0.75 0.435294\nName: 1393, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.005223499152016174, std values: 0.8141517419149681, min values: -2.1525285902534432, max values: 3.390469008396469, median values: 0.0224739711694004, and quantile values: 0.25 -0.561549\n0.50 0.022474\n0.75 0.501251\nName: 1394, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34988112622149026, std values: 1.0480289991717233, min values: -2.679056533720636, max values: 5.0, median values: -0.3648394051188438, and quantile values: 0.25 -0.946267\n0.50 -0.364839\n0.75 0.287724\nName: 1395, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.653381673184769, std values: 1.1256149890547409, min values: -2.7648443048846945, max values: 3.3760121766849016, median values: 0.650456741774416, and quantile values: 0.25 -0.240097\n0.50 0.650457\n0.75 1.596347\nName: 1396, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27795668289935227, std values: 0.7848171407477941, min values: -2.2837882496430213, max values: 4.0, median values: 0.2248724715653738, and quantile values: 0.25 -0.241818\n0.50 0.224872\n0.75 0.772186\nName: 1397, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24923822113953517, std values: 0.9509985798790022, min values: -2.891990595045606, max values: 6.0, median values: -0.2965542525711569, and quantile values: 0.25 -0.912714\n0.50 -0.296554\n0.75 0.398524\nName: 1398, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3098460946854223, std values: 0.7772675538893549, min values: -2.439930808627264, max values: 4.0, median values: 0.281202444017547, and quantile values: 0.25 -0.197550\n0.50 0.281202\n0.75 0.828081\nName: 1399, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16937775235886865, std values: 0.8059168377062207, min values: -2.0797094986253195, max values: 3.0, median values: -0.207090954903607, and quantile values: 0.25 -0.703824\n0.50 -0.207091\n0.75 0.303823\nName: 1400, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24093168761851613, std values: 1.158350273618928, min values: -2.673124659932621, max values: 6.0, median values: 0.326660852757466, and quantile values: 0.25 -0.554952\n0.50 0.326661\n0.75 1.217025\nName: 1401, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24891187488466643, std values: 1.0348499715111688, min values: -2.8246479422601736, max values: 5.0, median values: -0.2548654049802143, and quantile values: 0.25 -0.954096\n0.50 -0.254865\n0.75 0.421815\nName: 1402, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.005965389449390454, std values: 0.864252135679983, min values: -2.160984325879425, max values: 3.528773265847577, median values: -0.0817955996597652, and quantile values: 0.25 -0.623026\n0.50 -0.081796\n0.75 0.566683\nName: 1403, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.489657221522513, std values: 0.878189728143388, min values: -2.730840794324401, max values: 3.2906806286429298, median values: 0.5672006080693839, and quantile values: 0.25 -0.133934\n0.50 0.567201\n0.75 1.132049\nName: 1404, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20174107773845704, std values: 0.7442544270709094, min values: -2.5213149333948146, max values: 3.3636961113187773, median values: -0.2945801127200954, and quantile values: 0.25 -0.736872\n0.50 -0.294580\n0.75 0.267935\nName: 1405, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1215806261616426, std values: 0.9324122563762427, min values: -2.63315074164461, max values: 6.0, median values: -0.1028018035657159, and quantile values: 0.25 -0.707180\n0.50 -0.102802\n0.75 0.476935\nName: 1406, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6242231171197659, std values: 0.9406073283755563, min values: -2.372995607737588, max values: 5.0, median values: 0.5936663470190569, and quantile values: 0.25 -0.004682\n0.50 0.593666\n0.75 1.214994\nName: 1407, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.019415378426248228, std values: 0.8122702448995589, min values: -2.589966702820638, max values: 6.0, median values: 0.0483503263430198, and quantile values: 0.25 -0.498123\n0.50 0.048350\n0.75 0.537178\nName: 1408, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2546695801005831, std values: 0.8699179162001913, min values: -2.1730882470106176, max values: 4.0, median values: 0.1867498935604516, and quantile values: 0.25 -0.347006\n0.50 0.186750\n0.75 0.827845\nName: 1409, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5814138052000684, std values: 0.8393292910201483, min values: -2.162694153813029, max values: 5.0, median values: -0.7455062705713252, and quantile values: 0.25 -1.233750\n0.50 -0.745506\n0.75 -0.073569\nName: 1410, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.202717920070666, std values: 0.8364706485729364, min values: -2.5122218748354936, max values: 3.176672644814091, median values: -0.1769008586936867, and quantile values: 0.25 -0.717842\n0.50 -0.176901\n0.75 0.281768\nName: 1411, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08228385214576947, std values: 0.8683194043401754, min values: -2.476285024008804, max values: 3.1995118554872866, median values: 0.104774061714158, and quantile values: 0.25 -0.558457\n0.50 0.104774\n0.75 0.698195\nName: 1412, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11845166304086727, std values: 0.9354787897268588, min values: -2.0851554069246285, max values: 3.455472209455805, median values: 0.1159026028970893, and quantile values: 0.25 -0.609673\n0.50 0.115903\n0.75 0.905138\nName: 1413, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45438902943658405, std values: 1.0749744499733271, min values: -2.732564679617164, max values: 3.281452258958016, median values: -0.4586058304580211, and quantile values: 0.25 -1.387595\n0.50 -0.458606\n0.75 0.343149\nName: 1414, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.016106523693557792, std values: 0.7483503580860477, min values: -1.952221711999452, max values: 6.0, median values: -0.09733857471052, and quantile values: 0.25 -0.524780\n0.50 -0.097339\n0.75 0.477812\nName: 1415, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3069040633655833, std values: 0.8827047715284215, min values: -3.066111439712689, max values: 3.1995118554872866, median values: 0.2481464539925854, and quantile values: 0.25 -0.300481\n0.50 0.248146\n0.75 0.916982\nName: 1416, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.410240026566607, std values: 0.8986229878027568, min values: -1.9946800637949191, max values: 3.569037956734876, median values: 0.4943804113483561, and quantile values: 0.25 -0.226279\n0.50 0.494380\n0.75 1.009855\nName: 1417, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13537799915198478, std values: 0.783752171974857, min values: -2.579723791499676, max values: 4.0, median values: 0.1843684023416988, and quantile values: 0.25 -0.342943\n0.50 0.184368\n0.75 0.613146\nName: 1418, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1083657048697033, std values: 0.8896873376794857, min values: -2.5631960397140583, max values: 4.0, median values: -0.2162030087308408, and quantile values: 0.25 -0.736446\n0.50 -0.216203\n0.75 0.464789\nName: 1419, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3070090610578445, std values: 0.8342477782064687, min values: -2.1232100101643527, max values: 6.0, median values: 0.3118770254695844, and quantile values: 0.25 -0.285475\n0.50 0.311877\n0.75 0.915390\nName: 1420, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21446562775132605, std values: 0.8272341922606349, min values: -2.287426320816534, max values: 3.379902545505621, median values: 0.1170055743624244, and quantile values: 0.25 -0.346479\n0.50 0.117006\n0.75 0.750497\nName: 1421, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1781714211998684, std values: 0.8617266793994605, min values: -2.6466193392086392, max values: 4.0, median values: -0.2361789904702987, and quantile values: 0.25 -0.690615\n0.50 -0.236179\n0.75 0.346133\nName: 1422, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4608385186352735, std values: 0.8326333499304617, min values: -2.632854336056873, max values: 3.0, median values: 0.4561435065799822, and quantile values: 0.25 -0.030821\n0.50 0.456144\n0.75 1.000260\nName: 1423, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4691125122883294, std values: 0.8034862884756232, min values: -2.58513369695146, max values: 3.569037956734876, median values: -0.636154240180189, and quantile values: 0.25 -1.058985\n0.50 -0.636154\n0.75 0.023218\nName: 1424, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21133426556914184, std values: 0.9745562305505904, min values: -2.5953860446419177, max values: 3.3014869995452325, median values: 0.2716505345794761, and quantile values: 0.25 -0.355660\n0.50 0.271651\n0.75 0.844489\nName: 1425, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38975936819322493, std values: 0.7872673324902707, min values: -2.087432639025188, max values: 4.0, median values: 0.4778624360151187, and quantile values: 0.25 -0.108648\n0.50 0.477862\n0.75 0.952447\nName: 1426, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15052083475643194, std values: 0.8162053958660127, min values: -2.7825548156447035, max values: 6.0, median values: -0.1579868635558418, and quantile values: 0.25 -0.695273\n0.50 -0.157987\n0.75 0.338265\nName: 1427, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29035973229942214, std values: 0.8958218625601839, min values: -2.622408470084112, max values: 3.415255285860171, median values: -0.2984070340821885, and quantile values: 0.25 -0.866608\n0.50 -0.298407\n0.75 0.228049\nName: 1428, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18817789786509492, std values: 0.88556416613426, min values: -2.5879430435308, max values: 3.281452258958016, median values: -0.2999338125772733, and quantile values: 0.25 -0.841660\n0.50 -0.299934\n0.75 0.376383\nName: 1429, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25984929460334777, std values: 0.763902361066247, min values: -2.5682675825126706, max values: 5.0, median values: 0.2929504159573149, and quantile values: 0.25 -0.193817\n0.50 0.292950\n0.75 0.713417\nName: 1430, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13776954137261935, std values: 0.8366863332171085, min values: -2.300042081328127, max values: 4.0, median values: 0.0510017282559243, and quantile values: 0.25 -0.455069\n0.50 0.051002\n0.75 0.698261\nName: 1431, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.005506727358181592, std values: 0.8296838553060415, min values: -2.6404955031131814, max values: 6.0, median values: 0.0476610497254942, and quantile values: 0.25 -0.571680\n0.50 0.047661\n0.75 0.569142\nName: 1432, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41773130242676226, std values: 1.0804955360658253, min values: -2.928515832252388, max values: 5.0, median values: -0.4910353433118748, and quantile values: 0.25 -1.135506\n0.50 -0.491035\n0.75 0.311554\nName: 1433, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1474011698735823, std values: 0.9672422992664977, min values: -3.045947208515832, max values: 6.0, median values: 0.2121743775866892, and quantile values: 0.25 -0.332739\n0.50 0.212174\n0.75 0.756927\nName: 1434, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05763641166403057, std values: 1.0163258704904983, min values: -2.8350118695332047, max values: 5.0, median values: 0.0113464404356352, and quantile values: 0.25 -0.575013\n0.50 0.011346\n0.75 0.565326\nName: 1435, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23866622767345988, std values: 0.8574449365566312, min values: -2.687115288423959, max values: 5.0, median values: 0.1520335687357696, and quantile values: 0.25 -0.343901\n0.50 0.152034\n0.75 0.796002\nName: 1436, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08661492829582129, std values: 0.7666532271897969, min values: -2.5631847770497496, max values: 4.0, median values: 0.0350096173088941, and quantile values: 0.25 -0.425228\n0.50 0.035010\n0.75 0.588812\nName: 1437, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17712708159678284, std values: 0.8518494588010289, min values: -2.919359491767569, max values: 6.0, median values: 0.2301231907389441, and quantile values: 0.25 -0.404793\n0.50 0.230123\n0.75 0.770245\nName: 1438, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1156587927006852, std values: 0.7583501213116635, min values: -2.3922473154067863, max values: 5.0, median values: -0.1692716389454861, and quantile values: 0.25 -0.606343\n0.50 -0.169272\n0.75 0.312257\nName: 1439, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3386959104759265, std values: 1.0211054760415408, min values: -2.294262347294888, max values: 4.026668017837955, median values: -0.3895952565620334, and quantile values: 0.25 -1.185453\n0.50 -0.389595\n0.75 0.396795\nName: 1440, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22594502070427377, std values: 1.2650287776701092, min values: -2.93129584560762, max values: 6.0, median values: -0.0124320695841309, and quantile values: 0.25 -0.966586\n0.50 -0.012432\n0.75 0.626273\nName: 1441, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3667590376855447, std values: 1.0029557626545729, min values: -2.842989614395848, max values: 5.0, median values: -0.2942335355881157, and quantile values: 0.25 -0.956809\n0.50 -0.294234\n0.75 0.268856\nName: 1442, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43535156016171334, std values: 0.963836554511182, min values: -2.64479559868397, max values: 6.0, median values: 0.4680797883885225, and quantile values: 0.25 -0.247749\n0.50 0.468080\n0.75 1.208453\nName: 1443, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.010674663032221655, std values: 0.8766343047883726, min values: -2.2915911556076085, max values: 3.477886732511886, median values: -0.0702522223491734, and quantile values: 0.25 -0.636011\n0.50 -0.070252\n0.75 0.576613\nName: 1444, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6424755349829347, std values: 0.9846516814112135, min values: -2.5213149333948146, max values: 3.9048392686725855, median values: 0.5780048840739228, and quantile values: 0.25 0.010878\n0.50 0.578005\n0.75 1.186612\nName: 1445, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08803584712384359, std values: 0.7939742532841737, min values: -2.161181455793125, max values: 6.0, median values: 0.095817990759898, and quantile values: 0.25 -0.453968\n0.50 0.095818\n0.75 0.603648\nName: 1446, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4919044156131409, std values: 0.9305159432491722, min values: -2.3184884946917497, max values: 6.0, median values: 0.5539240130952987, and quantile values: 0.25 -0.096510\n0.50 0.553924\n0.75 1.125079\nName: 1447, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05088527058986437, std values: 0.7056743225364517, min values: -1.928344027368183, max values: 5.0, median values: 0.0453728119098157, and quantile values: 0.25 -0.420296\n0.50 0.045373\n0.75 0.486145\nName: 1448, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03037407646128418, std values: 0.8855887761539601, min values: -2.39180940730784, max values: 4.0, median values: -0.0428642936046637, and quantile values: 0.25 -0.573941\n0.50 -0.042864\n0.75 0.588615\nName: 1449, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3880771577279448, std values: 0.9686290632702338, min values: -2.7510671817729784, max values: 6.0, median values: -0.3254287650645819, and quantile values: 0.25 -0.924261\n0.50 -0.325429\n0.75 0.217614\nName: 1450, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12175997367152165, std values: 0.8388199094165021, min values: -2.558791007225312, max values: 3.0, median values: 0.1250920250556641, and quantile values: 0.25 -0.366608\n0.50 0.125092\n0.75 0.638530\nName: 1451, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20973687528367718, std values: 0.9940163416229126, min values: -2.673549169958716, max values: 6.0, median values: 0.2867143794762038, and quantile values: 0.25 -0.406596\n0.50 0.286714\n0.75 0.890616\nName: 1452, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22744512500252714, std values: 0.8208134114175638, min values: -2.253360442936464, max values: 5.0, median values: -0.2423001830290689, and quantile values: 0.25 -0.857168\n0.50 -0.242300\n0.75 0.329194\nName: 1453, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6225960514902646, std values: 1.0264526316365838, min values: -2.815821936576896, max values: 3.9048392686725855, median values: -0.735291206994331, and quantile values: 0.25 -1.369478\n0.50 -0.735291\n0.75 0.001182\nName: 1454, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.038972647805455146, std values: 0.8842415430751349, min values: -2.778044916685896, max values: 3.721862465295849, median values: 0.0685227449256613, and quantile values: 0.25 -0.459582\n0.50 0.068523\n0.75 0.564820\nName: 1455, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.317067689134395, std values: 0.8922658351744652, min values: -2.4805497391175195, max values: 5.0, median values: -0.4170490973636771, and quantile values: 0.25 -0.999909\n0.50 -0.417049\n0.75 0.256306\nName: 1456, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11185501869862388, std values: 1.0015054343814265, min values: -2.143675605330115, max values: 3.569037956734876, median values: 0.0564580315397089, and quantile values: 0.25 -0.673660\n0.50 0.056458\n0.75 0.822530\nName: 1457, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36150522051884837, std values: 0.8737655402541114, min values: -2.119118875804272, max values: 3.281452258958016, median values: 0.3027868621724044, and quantile values: 0.25 -0.233875\n0.50 0.302787\n0.75 0.954570\nName: 1458, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06606883850297232, std values: 0.9662493444309006, min values: -2.1414883906350908, max values: 5.0, median values: -0.0458138991400899, and quantile values: 0.25 -0.855668\n0.50 -0.045814\n0.75 0.614123\nName: 1459, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22498366726260963, std values: 0.8364445346231861, min values: -2.45229857681487, max values: 3.0, median values: -0.309000080463844, and quantile values: 0.25 -0.841268\n0.50 -0.309000\n0.75 0.303204\nName: 1460, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04965945838684151, std values: 0.7748925564971171, min values: -2.730840794324401, max values: 3.0774992973297404, median values: 0.0038051644016404, and quantile values: 0.25 -0.598098\n0.50 0.003805\n0.75 0.503063\nName: 1461, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2752501094874841, std values: 0.9194458589468008, min values: -2.205136496977226, max values: 3.096891534584617, median values: -0.3920624313511848, and quantile values: 0.25 -1.026075\n0.50 -0.392062\n0.75 0.355031\nName: 1462, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19975555835307376, std values: 0.9177239272208366, min values: -2.589966702820638, max values: 6.0, median values: -0.2426036765491857, and quantile values: 0.25 -0.931164\n0.50 -0.242604\n0.75 0.403986\nName: 1463, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24672354663380675, std values: 0.7987742016578394, min values: -2.688157591415518, max values: 3.216771431244405, median values: 0.2786547677705309, and quantile values: 0.25 -0.235867\n0.50 0.278655\n0.75 0.733589\nName: 1464, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08292308035471023, std values: 0.9074929547260475, min values: -2.475778245535816, max values: 3.0, median values: 0.0596889132805406, and quantile values: 0.25 -0.553793\n0.50 0.059689\n0.75 0.664951\nName: 1465, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35616470621743784, std values: 0.9291401375273947, min values: -2.005672204034532, max values: 3.155379154255993, median values: 0.4049278330101037, and quantile values: 0.25 -0.353477\n0.50 0.404928\n0.75 1.108885\nName: 1466, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7363033399020817, std values: 0.8786236112451854, min values: -2.693453432157769, max values: 3.0, median values: -0.8778622446778943, and quantile values: 0.25 -1.403787\n0.50 -0.877862\n0.75 -0.208757\nName: 1467, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4043298769615806, std values: 0.9106379601255304, min values: -2.605844844843939, max values: 4.0, median values: -0.3828346230590094, and quantile values: 0.25 -0.990755\n0.50 -0.382835\n0.75 0.155979\nName: 1468, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26560408158823395, std values: 0.9191904431360391, min values: -2.110869107491898, max values: 5.0, median values: 0.3135150593500903, and quantile values: 0.25 -0.464183\n0.50 0.313515\n0.75 0.979544\nName: 1469, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24524315770840704, std values: 1.3867837816943245, min values: -2.727901130262228, max values: 4.0, median values: 0.0207385892110025, and quantile values: 0.25 -1.752914\n0.50 0.020739\n0.75 0.885707\nName: 1470, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5138700389923895, std values: 1.0849871384876697, min values: -2.049514308809313, max values: 3.9905524164385566, median values: 0.5487303605188878, and quantile values: 0.25 -0.298185\n0.50 0.548730\n0.75 1.394973\nName: 1471, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10486404272437809, std values: 0.9262982106817582, min values: -2.100786257316884, max values: 5.0, median values: -0.2091615502210219, and quantile values: 0.25 -0.817649\n0.50 -0.209162\n0.75 0.529843\nName: 1472, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17039896379826242, std values: 0.8487199213310418, min values: -2.4960309093026924, max values: 3.5021977227593246, median values: 0.2060380985209056, and quantile values: 0.25 -0.399342\n0.50 0.206038\n0.75 0.695803\nName: 1473, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24471560553841168, std values: 0.8878678480662925, min values: -2.710223074556336, max values: 4.0, median values: -0.2881676275596717, and quantile values: 0.25 -0.764255\n0.50 -0.288168\n0.75 0.312836\nName: 1474, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4834349713601282, std values: 0.8858962701321029, min values: -2.1291003387336107, max values: 3.528773265847577, median values: -0.6608268565231783, and quantile values: 0.25 -1.145064\n0.50 -0.660827\n0.75 0.047381\nName: 1475, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07634701466119498, std values: 0.8828740179341299, min values: -2.521882829270847, max values: 4.0, median values: -0.1437899571234756, and quantile values: 0.25 -0.670711\n0.50 -0.143790\n0.75 0.505941\nName: 1476, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0912496478177723, std values: 0.8424749590205404, min values: -2.688157591415518, max values: 5.0, median values: 0.0840386418895262, and quantile values: 0.25 -0.453470\n0.50 0.084039\n0.75 0.588319\nName: 1477, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3090504636549344, std values: 1.1330441062144474, min values: -2.92272757463548, max values: 6.0, median values: -0.3000202326477138, and quantile values: 0.25 -0.926120\n0.50 -0.300020\n0.75 0.451742\nName: 1478, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1930960888385746, std values: 0.8140166925719712, min values: -2.132840460960708, max values: 5.0, median values: -0.2005756755815715, and quantile values: 0.25 -0.762486\n0.50 -0.200576\n0.75 0.288661\nName: 1479, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05069231366472789, std values: 1.0534411266119745, min values: -2.5953860446419177, max values: 3.5427287984042666, median values: -0.0185305119473519, and quantile values: 0.25 -0.584109\n0.50 -0.018531\n0.75 0.614601\nName: 1480, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20670701477978287, std values: 0.88140044170663, min values: -2.887007053971579, max values: 3.1995118554872866, median values: 0.2536692661689004, and quantile values: 0.25 -0.281473\n0.50 0.253669\n0.75 0.757304\nName: 1481, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21407811515346864, std values: 0.8718641258523363, min values: -3.1070421433302986, max values: 3.162318759909359, median values: -0.2225511487778858, and quantile values: 0.25 -0.822265\n0.50 -0.222551\n0.75 0.336641\nName: 1482, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12412610123480548, std values: 1.0131290331007852, min values: -2.769191083399913, max values: 3.721862465295849, median values: 0.190786845649003, and quantile values: 0.25 -0.307389\n0.50 0.190787\n0.75 0.815918\nName: 1483, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2174272676445432, std values: 0.8297838354289367, min values: -2.56026492390943, max values: 4.243835016543704, median values: 0.2567213630102698, and quantile values: 0.25 -0.231764\n0.50 0.256721\n0.75 0.727913\nName: 1484, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5350765548903268, std values: 0.9309235029433109, min values: -2.8164291268114208, max values: 4.0, median values: 0.5446414903207545, and quantile values: 0.25 -0.040875\n0.50 0.544641\n0.75 1.109811\nName: 1485, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.023629438693156337, std values: 0.8724657629228918, min values: -2.4737574649270093, max values: 3.4758930087721422, median values: -0.102792215105087, and quantile values: 0.25 -0.613591\n0.50 -0.102792\n0.75 0.571313\nName: 1486, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3845077959668934, std values: 0.9422411226475153, min values: -2.179853905073574, max values: 6.0, median values: 0.3069431466303083, and quantile values: 0.25 -0.293888\n0.50 0.306943\n0.75 1.066493\nName: 1487, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5355005085509017, std values: 0.9103133695956734, min values: -2.136604280590623, max values: 3.0, median values: -0.6730383801864344, and quantile values: 0.25 -1.301655\n0.50 -0.673038\n0.75 0.111740\nName: 1488, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16123028738335304, std values: 0.8417108327067631, min values: -2.688157591415518, max values: 5.0, median values: -0.2681914361233644, and quantile values: 0.25 -0.762857\n0.50 -0.268191\n0.75 0.373087\nName: 1489, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6087311189790687, std values: 0.8369121278117503, min values: -1.9894723742829257, max values: 3.670892362631932, median values: 0.6867502979732685, and quantile values: 0.25 0.027791\n0.50 0.686750\n0.75 1.256720\nName: 1490, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26854495537391215, std values: 0.8776752819908835, min values: -2.0533859886822, max values: 5.0, median values: -0.359665763402731, and quantile values: 0.25 -0.973110\n0.50 -0.359666\n0.75 0.309598\nName: 1491, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27401608571959785, std values: 0.87367508255919, min values: -2.87684958111886, max values: 3.3636961113187773, median values: -0.2401460302998346, and quantile values: 0.25 -0.777546\n0.50 -0.240146\n0.75 0.248260\nName: 1492, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1576164739336924, std values: 0.863425986512359, min values: -2.949186837165601, max values: 4.0, median values: -0.0884372883455121, and quantile values: 0.25 -0.693678\n0.50 -0.088437\n0.75 0.418408\nName: 1493, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2448677877503317, std values: 0.7796041786797009, min values: -2.469941537133514, max values: 4.0, median values: 0.2703616977546013, and quantile values: 0.25 -0.237204\n0.50 0.270362\n0.75 0.701607\nName: 1494, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23502257021665013, std values: 0.8890808001490071, min values: -3.28024538647024, max values: 3.9905524164385566, median values: -0.2837112737744472, and quantile values: 0.25 -0.855361\n0.50 -0.283711\n0.75 0.316570\nName: 1495, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29241455106940806, std values: 0.8171669444660815, min values: -2.5631847770497496, max values: 4.0, median values: 0.3636523950366755, and quantile values: 0.25 -0.239270\n0.50 0.363652\n0.75 0.880819\nName: 1496, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4681885806251073, std values: 0.8354239936057315, min values: -2.058629196027331, max values: 5.0, median values: 0.523326933444455, and quantile values: 0.25 -0.055570\n0.50 0.523327\n0.75 1.002446\nName: 1497, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5291103638319667, std values: 0.8597779497104142, min values: -2.15199289009116, max values: 3.055874031381882, median values: -0.6862118410004052, and quantile values: 0.25 -1.162523\n0.50 -0.686212\n0.75 0.024110\nName: 1498, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0444197723603745, std values: 1.2787455986509109, min values: -2.9666813816765707, max values: 4.0, median values: 0.1901138061213368, and quantile values: 0.25 -0.854816\n0.50 0.190114\n0.75 1.063074\nName: 1499, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.037228458050681125, std values: 0.7458765468123443, min values: -2.003208525075155, max values: 3.760287110694155, median values: 0.0552168289578939, and quantile values: 0.25 -0.453549\n0.50 0.055217\n0.75 0.486009\nName: 1500, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12465552332603111, std values: 0.7847592878692004, min values: -1.9257132585570576, max values: 5.0, median values: -0.196766993640303, and quantile values: 0.25 -0.665954\n0.50 -0.196767\n0.75 0.325122\nName: 1501, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2720350794574939, std values: 0.9930636994152822, min values: -3.074005993202373, max values: 3.4566816047670264, median values: -0.1394970966682714, and quantile values: 0.25 -0.900998\n0.50 -0.139497\n0.75 0.383216\nName: 1502, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20208916527174914, std values: 0.8014798156043607, min values: -2.4769826249763, max values: 3.030805337148847, median values: -0.3033280687320329, and quantile values: 0.25 -0.766174\n0.50 -0.303328\n0.75 0.289917\nName: 1503, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3180249752928056, std values: 1.1108043431286625, min values: -2.981718296512785, max values: 5.0, median values: -0.0944418772603145, and quantile values: 0.25 -1.002874\n0.50 -0.094442\n0.75 0.456710\nName: 1504, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1270042359951463, std values: 0.8230500584279854, min values: -2.107707594895344, max values: 3.5021977227593246, median values: -0.2464427899320388, and quantile values: 0.25 -0.720682\n0.50 -0.246443\n0.75 0.352070\nName: 1505, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39198448766310146, std values: 1.0281349309803085, min values: -2.891990595045606, max values: 6.0, median values: -0.4985989224678552, and quantile values: 0.25 -1.204824\n0.50 -0.498599\n0.75 0.349844\nName: 1506, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18025318444365868, std values: 0.9855075205932188, min values: -2.1103582417935702, max values: 6.0, median values: 0.2351030352765503, and quantile values: 0.25 -0.580480\n0.50 0.235103\n0.75 0.942611\nName: 1507, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3419431612920453, std values: 0.7896678679573919, min values: -2.5689076212724418, max values: 5.0, median values: -0.4441907041038405, and quantile values: 0.25 -0.878592\n0.50 -0.444191\n0.75 0.083669\nName: 1508, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12563602360100984, std values: 0.8470248253672177, min values: -2.5624611946462936, max values: 5.0, median values: -0.1878429315195371, and quantile values: 0.25 -0.641198\n0.50 -0.187843\n0.75 0.398574\nName: 1509, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11092061823282726, std values: 0.8117892902787325, min values: -2.0019812311634992, max values: 3.667275230673496, median values: 0.0451809047319317, and quantile values: 0.25 -0.452920\n0.50 0.045181\n0.75 0.643115\nName: 1510, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5235202954277123, std values: 0.973785080298499, min values: -2.580492024304656, max values: 3.784832159836258, median values: 0.5978753722239822, and quantile values: 0.25 -0.181512\n0.50 0.597875\n0.75 1.271983\nName: 1511, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4354500296318563, std values: 0.7687485810583071, min values: -2.6635706018350787, max values: 3.0, median values: 0.4181608905458432, and quantile values: 0.25 -0.014486\n0.50 0.418161\n0.75 0.924583\nName: 1512, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5990647073468973, std values: 0.823109875694572, min values: -2.579723791499676, max values: 4.0, median values: 0.6753653083415434, and quantile values: 0.25 0.075281\n0.50 0.675365\n0.75 1.177629\nName: 1513, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.1969994808042037, std values: 1.1499971881779718, min values: -2.727901130262228, max values: 4.0, median values: -1.69985202848615, and quantile values: 0.25 -2.140406\n0.50 -1.699852\n0.75 -0.211639\nName: 1514, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21676832784536826, std values: 0.9284050989339412, min values: -2.0502871305846115, max values: 5.0, median values: -0.2407298935229488, and quantile values: 0.25 -0.959053\n0.50 -0.240730\n0.75 0.426211\nName: 1515, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2686188926766811, std values: 0.8382638593975426, min values: -2.1355258137915776, max values: 3.630507857092792, median values: 0.2043390028548268, and quantile values: 0.25 -0.309620\n0.50 0.204339\n0.75 0.820191\nName: 1516, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06382292452204032, std values: 0.9233345896765387, min values: -2.8998169811239416, max values: 2.9014037851367123, median values: -0.1543628231203811, and quantile values: 0.25 -0.753493\n0.50 -0.154363\n0.75 0.554727\nName: 1517, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04711534678833364, std values: 0.9099169917022063, min values: -2.082254794052404, max values: 4.0, median values: -0.1387291960921849, and quantile values: 0.25 -0.747981\n0.50 -0.138729\n0.75 0.557047\nName: 1518, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3302558283537905, std values: 1.1504488547893137, min values: -2.6270253558526173, max values: 4.0, median values: 0.4432779140923157, and quantile values: 0.25 -0.372892\n0.50 0.443278\n0.75 1.194727\nName: 1519, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17778965155564747, std values: 0.8167561215321469, min values: -2.607565022042742, max values: 4.0, median values: -0.1404148383714052, and quantile values: 0.25 -0.672935\n0.50 -0.140415\n0.75 0.375089\nName: 1520, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.021846893981359337, std values: 0.9851211966786874, min values: -2.6635706018350787, max values: 3.379902545505621, median values: 0.1846765361394858, and quantile values: 0.25 -0.533654\n0.50 0.184677\n0.75 0.693829\nName: 1521, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0505210397465944, std values: 0.8288555012246315, min values: -2.071166690331113, max values: 5.0, median values: -0.0279835938782273, and quantile values: 0.25 -0.529272\n0.50 -0.027984\n0.75 0.568205\nName: 1522, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12261209407172943, std values: 0.836567996927108, min values: -2.300042081328127, max values: 4.0, median values: -0.2459886004990942, and quantile values: 0.25 -0.687259\n0.50 -0.245989\n0.75 0.355588\nName: 1523, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14717201204521171, std values: 0.7522532400882087, min values: -1.9999424177983465, max values: 3.9905524164385566, median values: 0.1379399852074021, and quantile values: 0.25 -0.322481\n0.50 0.137940\n0.75 0.621155\nName: 1524, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32664750412135035, std values: 1.0539723414898305, min values: -2.5122218748354936, max values: 3.0, median values: -0.2400487277266136, and quantile values: 0.25 -0.942010\n0.50 -0.240049\n0.75 0.411555\nName: 1525, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16062517281577998, std values: 0.8329754013020753, min values: -2.1933871269964853, max values: 3.0, median values: 0.0929226166448574, and quantile values: 0.25 -0.408265\n0.50 0.092923\n0.75 0.699613\nName: 1526, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2783360197391843, std values: 0.8532189993022914, min values: -2.607565022042742, max values: 4.0, median values: -0.27030202529784, and quantile values: 0.25 -0.820037\n0.50 -0.270302\n0.75 0.230349\nName: 1527, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0014431277684316725, std values: 1.062389151227594, min values: -2.521882829270847, max values: 4.278004674434932, median values: -0.0654196725396785, and quantile values: 0.25 -0.692719\n0.50 -0.065420\n0.75 0.573844\nName: 1528, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.576351700128427, std values: 0.8515409349579364, min values: -2.3309897486476068, max values: 4.0, median values: 0.6781884291862602, and quantile values: 0.25 0.054996\n0.50 0.678188\n0.75 1.144313\nName: 1529, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08524836008280585, std values: 0.8378275732085287, min values: -2.5689076212724418, max values: 5.0, median values: -0.0596178834987626, and quantile values: 0.25 -0.704633\n0.50 -0.059618\n0.75 0.505736\nName: 1530, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09347840196001822, std values: 0.7356569298157488, min values: -2.3893642989164, max values: 3.155379154255993, median values: -0.1590188300616117, and quantile values: 0.25 -0.579503\n0.50 -0.159019\n0.75 0.332264\nName: 1531, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17667556632334044, std values: 0.8565570271441806, min values: -2.2915911556076085, max values: 3.0, median values: 0.2394651828353085, and quantile values: 0.25 -0.427708\n0.50 0.239465\n0.75 0.798958\nName: 1532, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.024082706379064185, std values: 1.0050574574212074, min values: -2.2814383223755774, max values: 4.0, median values: -0.0722157199662126, and quantile values: 0.25 -0.668383\n0.50 -0.072216\n0.75 0.598567\nName: 1533, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24480887427186052, std values: 1.117768150686186, min values: -2.92272757463548, max values: 6.0, median values: -0.2118082308880937, and quantile values: 0.25 -0.912044\n0.50 -0.211808\n0.75 0.540479\nName: 1534, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3563969642546423, std values: 0.7250148694153818, min values: -2.5213149333948146, max values: 3.3483277116524426, median values: 0.3686311853238424, and quantile values: 0.25 -0.047551\n0.50 0.368631\n0.75 0.810476\nName: 1535, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34665872848783347, std values: 0.7662581915089557, min values: -2.0681185926384043, max values: 3.379902545505621, median values: 0.2834898348280802, and quantile values: 0.25 -0.153349\n0.50 0.283490\n0.75 0.857344\nName: 1536, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1754990665247694, std values: 0.8639910703410754, min values: -2.610097161345549, max values: 4.0, median values: 0.2344519315162219, and quantile values: 0.25 -0.251954\n0.50 0.234452\n0.75 0.689013\nName: 1537, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.008254679126889833, std values: 0.9344876567667572, min values: -2.207388112027905, max values: 3.0418703198091483, median values: 0.0495108728016939, and quantile values: 0.25 -0.709869\n0.50 0.049511\n0.75 0.727160\nName: 1538, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13692415184604734, std values: 0.8766189490671834, min values: -3.1070421433302986, max values: 4.026668017837955, median values: 0.1174493381609105, and quantile values: 0.25 -0.390067\n0.50 0.117449\n0.75 0.697079\nName: 1539, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.9005246684078518, std values: 1.048561612444198, min values: -2.158148574998896, max values: 5.0, median values: 0.8680921639693996, and quantile values: 0.25 0.193283\n0.50 0.868092\n0.75 1.652572\nName: 1540, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10451578548769741, std values: 0.7785217817395129, min values: -2.580492024304656, max values: 4.243835016543704, median values: 0.0750875882691793, and quantile values: 0.25 -0.409755\n0.50 0.075088\n0.75 0.575107\nName: 1541, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.025657871145892287, std values: 0.7907756325318631, min values: -2.0581710137008287, max values: 4.0, median values: -0.0206834987706954, and quantile values: 0.25 -0.471986\n0.50 -0.020683\n0.75 0.464341\nName: 1542, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.001416470717776163, std values: 0.8350415846088765, min values: -2.838932175687192, max values: 4.0, median values: 0.0576165657234587, and quantile values: 0.25 -0.544669\n0.50 0.057617\n0.75 0.542203\nName: 1543, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.539650687507685, std values: 0.9189893316172134, min values: -2.542889966859849, max values: 6.0, median values: 0.6343346502692131, and quantile values: 0.25 -0.037138\n0.50 0.634335\n0.75 1.170284\nName: 1544, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09639355813960507, std values: 0.9856310849739082, min values: -2.5759052915632985, max values: 3.0, median values: 0.1630172940656363, and quantile values: 0.25 -0.549225\n0.50 0.163017\n0.75 0.876959\nName: 1545, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0612498337212575, std values: 0.9760661958663991, min values: -2.5825978442440407, max values: 6.0, median values: -0.1928166941218252, and quantile values: 0.25 -0.766023\n0.50 -0.192817\n0.75 0.551710\nName: 1546, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9640681738633152, std values: 1.0490352909071476, min values: -2.697026421440041, max values: 4.0, median values: -0.9054700192421302, and quantile values: 0.25 -1.978102\n0.50 -0.905470\n0.75 -0.199467\nName: 1547, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1711400175102058, std values: 0.9094889666542995, min values: -1.771787261017587, max values: 3.00464355837442, median values: 0.1502116043295341, and quantile values: 0.25 -0.539215\n0.50 0.150212\n0.75 0.827845\nName: 1548, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19302073564173453, std values: 0.7702978774025622, min values: -2.465314621659407, max values: 3.867701659180865, median values: 0.2437234855414548, and quantile values: 0.25 -0.303303\n0.50 0.243723\n0.75 0.674836\nName: 1549, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.029485249336211262, std values: 0.8793785042399319, min values: -2.693453432157769, max values: 3.627976272701048, median values: -0.0270193533102481, and quantile values: 0.25 -0.617344\n0.50 -0.027019\n0.75 0.598267\nName: 1550, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3106330257977409, std values: 1.1166540264145415, min values: -2.8350118695332047, max values: 5.0, median values: 0.4414183921123429, and quantile values: 0.25 -0.425325\n0.50 0.441418\n0.75 1.094837\nName: 1551, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32691536349959455, std values: 0.8073199356681798, min values: -2.579723791499676, max values: 4.243835016543704, median values: -0.4549112431498657, and quantile values: 0.25 -0.895227\n0.50 -0.454911\n0.75 0.169535\nName: 1552, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3667371557581552, std values: 1.0413026739485383, min values: -2.7428415536925543, max values: 3.667275230673496, median values: -0.3885120452721492, and quantile values: 0.25 -1.293069\n0.50 -0.388512\n0.75 0.378211\nName: 1553, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7032321630314733, std values: 1.0454550329353622, min values: -2.1227739687253626, max values: 3.9905524164385566, median values: 0.789014941051119, and quantile values: 0.25 -0.051593\n0.50 0.789015\n0.75 1.520736\nName: 1554, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3607771107714039, std values: 0.8905905398153201, min values: -2.037108201786327, max values: 5.0, median values: 0.3071721127220603, and quantile values: 0.25 -0.206656\n0.50 0.307172\n0.75 0.953879\nName: 1555, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21971012305722531, std values: 0.9260791008951577, min values: -2.5774281843044924, max values: 6.0, median values: -0.3169738315526528, and quantile values: 0.25 -0.910147\n0.50 -0.316974\n0.75 0.387219\nName: 1556, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1479005952004608, std values: 0.7925802499863963, min values: -2.643887016977268, max values: 6.0, median values: -0.1349379253850065, and quantile values: 0.25 -0.590548\n0.50 -0.134938\n0.75 0.315079\nName: 1557, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8799217109600589, std values: 1.0216648212362691, min values: -2.6800544037614658, max values: 4.0, median values: -0.8538099807630664, and quantile values: 0.25 -1.769068\n0.50 -0.853810\n0.75 -0.127716\nName: 1558, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24096225922974399, std values: 0.783893701887527, min values: -2.6404955031131814, max values: 6.0, median values: -0.2660145693413122, and quantile values: 0.25 -0.737892\n0.50 -0.266015\n0.75 0.187787\nName: 1559, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09646247836272605, std values: 0.8839018128403129, min values: -2.057690731496465, max values: 4.0, median values: 0.1387530591663027, and quantile values: 0.25 -0.549691\n0.50 0.138753\n0.75 0.725017\nName: 1560, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41169309125528253, std values: 0.7364729963876698, min values: -2.1232100101643527, max values: 6.0, median values: 0.4360927624965047, and quantile values: 0.25 -0.045867\n0.50 0.436093\n0.75 0.852463\nName: 1561, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1382844918158407, std values: 0.8624070943982608, min values: -1.9460312707840568, max values: 3.3760121766849016, median values: -0.2595798632564646, and quantile values: 0.25 -0.750242\n0.50 -0.259580\n0.75 0.407186\nName: 1562, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1446972499684835, std values: 0.7754852436223032, min values: -1.941031746365332, max values: 6.0, median values: -0.2212622152880292, and quantile values: 0.25 -0.671347\n0.50 -0.221262\n0.75 0.337311\nName: 1563, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06166198625106661, std values: 0.8080469656760736, min values: -2.3333312203517527, max values: 3.5021977227593246, median values: -0.1320982746787186, and quantile values: 0.25 -0.607934\n0.50 -0.132098\n0.75 0.442652\nName: 1564, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27653464333966626, std values: 1.0131730566597963, min values: -2.558791007225312, max values: 3.281452258958016, median values: 0.2658186887848077, and quantile values: 0.25 -0.265138\n0.50 0.265819\n0.75 0.933242\nName: 1565, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.2438887545170412, std values: 1.1134258059808892, min values: -2.727901130262228, max values: 4.0, median values: -1.6970522895331734, and quantile values: 0.25 -2.140406\n0.50 -1.697052\n0.75 -0.440083\nName: 1566, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16166072422022182, std values: 0.8317971960725334, min values: -2.073524544085168, max values: 6.0, median values: 0.1901698894553189, and quantile values: 0.25 -0.402620\n0.50 0.190170\n0.75 0.691844\nName: 1567, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08505436875985513, std values: 0.7542487805202328, min values: -2.525881048269423, max values: 3.0774992973297404, median values: 0.0167722279790438, and quantile values: 0.25 -0.455462\n0.50 0.016772\n0.75 0.612490\nName: 1568, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15800059071017492, std values: 0.89339545463464, min values: -2.724017888297919, max values: 3.2936960268109283, median values: 0.2110478630238034, and quantile values: 0.25 -0.395902\n0.50 0.211048\n0.75 0.748528\nName: 1569, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5180755976919599, std values: 1.0872527458949812, min values: -2.622709665346679, max values: 3.721862465295849, median values: 0.6757349133572639, and quantile values: 0.25 -0.176363\n0.50 0.675735\n0.75 1.283809\nName: 1570, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28993492339404986, std values: 0.8852897567928977, min values: -2.9797100147087465, max values: 5.0, median values: 0.3455435400945507, and quantile values: 0.25 -0.293098\n0.50 0.345544\n0.75 0.933242\nName: 1571, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1607320060285716, std values: 0.8853300341259751, min values: -2.442256129120324, max values: 6.0, median values: -0.2595069611700953, and quantile values: 0.25 -0.835437\n0.50 -0.259507\n0.75 0.451032\nName: 1572, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4326674459667183, std values: 0.8207096194757003, min values: -2.7428415536925543, max values: 5.0, median values: -0.5330466062997283, and quantile values: 0.25 -1.021175\n0.50 -0.533047\n0.75 0.030959\nName: 1573, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1980458945792002, std values: 0.7979129597727751, min values: -2.4540853055744134, max values: 3.0533207538164056, median values: 0.2892271578311239, and quantile values: 0.25 -0.346158\n0.50 0.289227\n0.75 0.768021\nName: 1574, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2702568844667956, std values: 1.0630648100162865, min values: -2.607565022042742, max values: 4.0, median values: -0.3328389184635214, and quantile values: 0.25 -1.166076\n0.50 -0.332839\n0.75 0.526854\nName: 1575, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18073145092527632, std values: 0.9173853526704508, min values: -2.5820330744015787, max values: 4.0, median values: 0.1563139745529241, and quantile values: 0.25 -0.343381\n0.50 0.156314\n0.75 0.762256\nName: 1576, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07044243352434375, std values: 0.7772431932803991, min values: -2.730840794324401, max values: 3.0, median values: -0.106115011603217, and quantile values: 0.25 -0.544093\n0.50 -0.106115\n0.75 0.405212\nName: 1577, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09785480219947756, std values: 1.0286174258004117, min values: -2.2256410635318, max values: 6.0, median values: -0.0483513948051646, and quantile values: 0.25 -0.958708\n0.50 -0.048351\n0.75 0.689715\nName: 1578, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.031147796982890413, std values: 1.0563164260207822, min values: -2.497627580948261, max values: 3.241738645014612, median values: 0.1020177642500411, and quantile values: 0.25 -0.542243\n0.50 0.102018\n0.75 0.682090\nName: 1579, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2789218102067743, std values: 1.0552518992837827, min values: -2.869671295224012, max values: 6.0, median values: 0.2621722681202852, and quantile values: 0.25 -0.439476\n0.50 0.262172\n0.75 1.012850\nName: 1580, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5804024946279394, std values: 1.0269147622692747, min values: -2.869671295224012, max values: 6.0, median values: 0.6727620895185524, and quantile values: 0.25 -0.094296\n0.50 0.672762\n0.75 1.305326\nName: 1581, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23782837086736663, std values: 1.0724496171496056, min values: -2.981718296512785, max values: 5.0, median values: -0.1006636619407131, and quantile values: 0.25 -0.844609\n0.50 -0.100664\n0.75 0.474686\nName: 1582, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13775362416567305, std values: 0.9296438798191391, min values: -2.572123985342288, max values: 5.0, median values: -0.0915459720432479, and quantile values: 0.25 -0.776855\n0.50 -0.091546\n0.75 0.421815\nName: 1583, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20302497167362882, std values: 0.9171285677110256, min values: -2.684072796644972, max values: 6.0, median values: -0.1385516674721823, and quantile values: 0.25 -0.733416\n0.50 -0.138552\n0.75 0.361229\nName: 1584, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45485793831968135, std values: 0.8259020078032465, min values: -3.113991481409585, max values: 3.176672644814091, median values: -0.5156450765043288, and quantile values: 0.25 -1.073229\n0.50 -0.515645\n0.75 0.031770\nName: 1585, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2077582373406002, std values: 0.9985883546086028, min values: -2.2837882496430213, max values: 4.0, median values: 0.1691509970090566, and quantile values: 0.25 -0.545724\n0.50 0.169151\n0.75 0.980231\nName: 1586, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3038246433784541, std values: 0.8911635793580157, min values: -2.688157591415518, max values: 5.0, median values: 0.376890383823434, and quantile values: 0.25 -0.351785\n0.50 0.376890\n0.75 0.971166\nName: 1587, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17416442234771737, std values: 0.7816759160037946, min values: -2.0288440059072874, max values: 5.0, median values: 0.2257140073941491, and quantile values: 0.25 -0.360422\n0.50 0.225714\n0.75 0.739665\nName: 1588, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3265780043986282, std values: 0.9707067702548672, min values: -2.369788026921158, max values: 4.0, median values: -0.4448209792241249, and quantile values: 0.25 -1.119129\n0.50 -0.444821\n0.75 0.331241\nName: 1589, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12522747987251062, std values: 0.9979320766062029, min values: -2.589966702820638, max values: 6.0, median values: 0.0269918039531289, and quantile values: 0.25 -0.643488\n0.50 0.026992\n0.75 0.829745\nName: 1590, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12546197241181686, std values: 0.9133943126899775, min values: -2.5953860446419177, max values: 5.0, median values: -0.1437252586723819, and quantile values: 0.25 -0.679200\n0.50 -0.143725\n0.75 0.477781\nName: 1591, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30164464499453875, std values: 1.1310163680710044, min values: -2.1269862447630747, max values: 3.0, median values: 0.3105227255037767, and quantile values: 0.25 -0.594343\n0.50 0.310523\n0.75 1.257630\nName: 1592, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2445605170514795, std values: 0.8183813609998832, min values: -2.39390372350311, max values: 3.2701555622463814, median values: -0.3026427098429837, and quantile values: 0.25 -0.806983\n0.50 -0.302643\n0.75 0.230378\nName: 1593, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24294250097445005, std values: 1.053359839112244, min values: -2.8350118695332047, max values: 5.0, median values: 0.2439913111860395, and quantile values: 0.25 -0.305960\n0.50 0.243991\n0.75 0.930230\nName: 1594, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2157047298677247, std values: 0.9502861555931067, min values: -2.134987510471223, max values: 3.496479817235339, median values: -0.3325641446870633, and quantile values: 0.25 -0.927686\n0.50 -0.332564\n0.75 0.422539\nName: 1595, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10318949662184387, std values: 0.7657765205600651, min values: -2.2276120832807416, max values: 6.0, median values: 0.0946284192410099, and quantile values: 0.25 -0.401687\n0.50 0.094628\n0.75 0.584657\nName: 1596, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.00784777768956108, std values: 0.8687101392550445, min values: -2.067884917892885, max values: 4.278004674434932, median values: -0.0425610847027753, and quantile values: 0.25 -0.612205\n0.50 -0.042561\n0.75 0.589401\nName: 1597, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1327635261981087, std values: 1.0190064655459121, min values: -2.139311372893009, max values: 2.9640616449178703, median values: 0.1017564317706891, and quantile values: 0.25 -0.671925\n0.50 0.101756\n0.75 0.883121\nName: 1598, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27487192908776903, std values: 0.9954899029639174, min values: -2.8246479422601736, max values: 5.0, median values: 0.2996675104976879, and quantile values: 0.25 -0.313269\n0.50 0.299668\n0.75 0.960148\nName: 1599, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1355542039088327, std values: 0.8308742142062994, min values: -2.4536054974529624, max values: 6.0, median values: 0.0645196638485081, and quantile values: 0.25 -0.447224\n0.50 0.064520\n0.75 0.658225\nName: 1600, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5464602349390092, std values: 0.7979286458231415, min values: -1.9768784396637864, max values: 5.0, median values: 0.5942242757497908, and quantile values: 0.25 0.058996\n0.50 0.594224\n0.75 1.054460\nName: 1601, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05854543036092268, std values: 0.8489442602555238, min values: -2.4657737907743, max values: 3.434669824302974, median values: 0.0823647417481229, and quantile values: 0.25 -0.579015\n0.50 0.082365\n0.75 0.627671\nName: 1602, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2204463185171458, std values: 0.8108269811662749, min values: -2.271143658239337, max values: 6.0, median values: 0.2196155423002897, and quantile values: 0.25 -0.293631\n0.50 0.219616\n0.75 0.742402\nName: 1603, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29588817207764617, std values: 0.7262396669507138, min values: -2.469941537133514, max values: 4.0, median values: -0.3518649132733805, and quantile values: 0.25 -0.774213\n0.50 -0.351865\n0.75 0.106747\nName: 1604, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.073449213940286, std values: 0.9402822554803195, min values: -2.6899145007874274, max values: 3.3483277116524426, median values: -0.1676984965551053, and quantile values: 0.25 -0.814153\n0.50 -0.167698\n0.75 0.604904\nName: 1605, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19355783896072926, std values: 1.173109326072589, min values: -3.21990804472754, max values: 5.0, median values: -0.0094461248558382, and quantile values: 0.25 -0.913909\n0.50 -0.009446\n0.75 0.598238\nName: 1606, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0032036280345098464, std values: 0.9758855644570491, min values: -2.096272675358738, max values: 4.0, median values: -0.0722425663282193, and quantile values: 0.25 -0.755140\n0.50 -0.072243\n0.75 0.657918\nName: 1607, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29498911266698846, std values: 0.8975835057904095, min values: -2.576018450691392, max values: 4.0, median values: -0.3767127707281748, and quantile values: 0.25 -0.948381\n0.50 -0.376713\n0.75 0.317727\nName: 1608, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14724188779188638, std values: 0.8598500845760606, min values: -3.066111439712689, max values: 2.723053464579849, median values: 0.2465279561079026, and quantile values: 0.25 -0.288574\n0.50 0.246528\n0.75 0.675285\nName: 1609, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19087018567401512, std values: 1.1201193085162524, min values: -2.955641696055872, max values: 3.17157439250477, median values: -0.0785677992774729, and quantile values: 0.25 -1.050292\n0.50 -0.078568\n0.75 0.735797\nName: 1610, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5510620997099641, std values: 0.9673256646546393, min values: -2.842989614395848, max values: 5.0, median values: -0.6658026598233988, and quantile values: 0.25 -1.225244\n0.50 -0.665803\n0.75 0.072796\nName: 1611, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32617884183591755, std values: 1.0259016162480727, min values: -2.024549489264694, max values: 4.0, median values: 0.2128222453123257, and quantile values: 0.25 -0.433417\n0.50 0.212822\n0.75 1.053146\nName: 1612, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.010922283506564247, std values: 0.9094978016484163, min values: -2.608390851963037, max values: 5.0, median values: 0.0439980040911648, and quantile values: 0.25 -0.532602\n0.50 0.043998\n0.75 0.589336\nName: 1613, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26325904051251153, std values: 0.833773287011633, min values: -2.8680719719444903, max values: 3.336438412828754, median values: 0.359110809915814, and quantile values: 0.25 -0.256917\n0.50 0.359111\n0.75 0.824056\nName: 1614, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10053561912549587, std values: 0.8189840377182783, min values: -2.5631960397140583, max values: 4.0, median values: -0.1993218667847802, and quantile values: 0.25 -0.653990\n0.50 -0.199322\n0.75 0.411588\nName: 1615, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09085391512033919, std values: 1.1879959023733895, min values: -3.0148736195915964, max values: 3.784832159836258, median values: -0.0167340101250038, and quantile values: 0.25 -0.617252\n0.50 -0.016734\n0.75 0.644877\nName: 1616, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04030492735904855, std values: 0.8185432071259234, min values: -2.589966702820638, max values: 6.0, median values: 0.0150321109412637, and quantile values: 0.25 -0.507079\n0.50 0.015032\n0.75 0.545532\nName: 1617, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4117180648219166, std values: 0.9503826314289748, min values: -2.5293911731823453, max values: 3.9048392686725855, median values: 0.4003912675158922, and quantile values: 0.25 -0.234288\n0.50 0.400391\n0.75 1.069752\nName: 1618, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8900577627729425, std values: 1.4918955646724081, min values: -3.101800431129944, max values: 6.0, median values: -1.633971673829849, and quantile values: 0.25 -2.165598\n0.50 -1.633972\n0.75 0.490787\nName: 1619, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2546111313754653, std values: 0.809636229008622, min values: -2.475272102106495, max values: 4.0, median values: 0.2736619577901514, and quantile values: 0.25 -0.307166\n0.50 0.273662\n0.75 0.791371\nName: 1620, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0925180377443916, std values: 0.8569835876617702, min values: -2.2362547117935176, max values: 5.0, median values: 0.0870237879008974, and quantile values: 0.25 -0.501938\n0.50 0.087024\n0.75 0.674006\nName: 1621, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22837743524208962, std values: 0.8610505699057193, min values: -2.8531572940820533, max values: 4.278004674434932, median values: 0.1879270206422159, and quantile values: 0.25 -0.310314\n0.50 0.187927\n0.75 0.734389\nName: 1622, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09281857256142578, std values: 0.9575215010123678, min values: -2.955641696055872, max values: 3.569037956734876, median values: 0.0795904226231316, and quantile values: 0.25 -0.480964\n0.50 0.079590\n0.75 0.691425\nName: 1623, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21458452068180298, std values: 0.9158584017695997, min values: -2.537573835824454, max values: 6.0, median values: 0.2588393778523772, and quantile values: 0.25 -0.440902\n0.50 0.258839\n0.75 0.875421\nName: 1624, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08484360033169103, std values: 1.024935906230857, min values: -2.673124659932621, max values: 6.0, median values: 0.1269263877924913, and quantile values: 0.25 -0.448264\n0.50 0.126926\n0.75 0.713903\nName: 1625, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3909201279368683, std values: 0.9090230994119617, min values: -2.169311742921253, max values: 6.0, median values: 0.4821072923888295, and quantile values: 0.25 -0.271647\n0.50 0.482107\n0.75 1.085124\nName: 1626, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35203594708211217, std values: 0.7992534732154877, min values: -2.024672014234868, max values: 2.9312958456076146, median values: -0.4514541019505239, and quantile values: 0.25 -0.893465\n0.50 -0.451454\n0.75 0.088157\nName: 1627, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10578605843385688, std values: 0.8761131577406666, min values: -2.271143658239337, max values: 6.0, median values: 0.0819660659325602, and quantile values: 0.25 -0.484955\n0.50 0.081966\n0.75 0.676019\nName: 1628, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3467910887326781, std values: 0.8233578688920151, min values: -2.094787931821739, max values: 3.528773265847577, median values: -0.4848931490391182, and quantile values: 0.25 -0.918493\n0.50 -0.484893\n0.75 0.117259\nName: 1629, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15897891065693406, std values: 0.8207484222176564, min values: -1.9862942639163563, max values: 4.0, median values: 0.1656763944108529, and quantile values: 0.25 -0.391368\n0.50 0.165676\n0.75 0.674593\nName: 1630, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.011380518840716043, std values: 0.9808148556680774, min values: -2.643887016977268, max values: 6.0, median values: 0.0089228558320701, and quantile values: 0.25 -0.683785\n0.50 0.008923\n0.75 0.712897\nName: 1631, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07650238783708822, std values: 0.8024537709663555, min values: -2.5689076212724418, max values: 5.0, median values: -0.1409965428793486, and quantile values: 0.25 -0.616419\n0.50 -0.140997\n0.75 0.380216\nName: 1632, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16033023940133592, std values: 0.8536583895634395, min values: -1.947288784346615, max values: 3.1395741599540568, median values: 0.0726298944275731, and quantile values: 0.25 -0.397183\n0.50 0.072630\n0.75 0.677951\nName: 1633, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1412773628649338, std values: 1.0180601306801917, min values: -2.643887016977268, max values: 6.0, median values: 0.1522248454009748, and quantile values: 0.25 -0.567848\n0.50 0.152225\n0.75 0.940353\nName: 1634, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14760491315746319, std values: 0.7768769402129952, min values: -2.5825978442440407, max values: 6.0, median values: -0.1321221163334534, and quantile values: 0.25 -0.651684\n0.50 -0.132122\n0.75 0.288976\nName: 1635, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06011917609820079, std values: 1.3106465403402483, min values: -2.769191083399913, max values: 3.598076523509904, median values: 0.2463860134745504, and quantile values: 0.25 -0.772542\n0.50 0.246386\n0.75 0.999441\nName: 1636, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09613700929681436, std values: 1.138236534535421, min values: -2.558791007225312, max values: 3.721862465295849, median values: -0.0786230482835456, and quantile values: 0.25 -0.800610\n0.50 -0.078623\n0.75 0.741694\nName: 1637, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14456070383420638, std values: 0.8053659261503023, min values: -2.841647375415054, max values: 5.0, median values: 0.1646828913555738, and quantile values: 0.25 -0.401478\n0.50 0.164683\n0.75 0.688547\nName: 1638, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4744759932853895, std values: 0.8692508180731823, min values: -2.0697574862023345, max values: 5.0, median values: -0.6311863499790636, and quantile values: 0.25 -1.134090\n0.50 -0.631186\n0.75 0.079203\nName: 1639, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6696917006340583, std values: 0.8331075372712176, min values: -2.8350118695332047, max values: 5.0, median values: -0.7527983752411087, and quantile values: 0.25 -1.322301\n0.50 -0.752798\n0.75 -0.162283\nName: 1640, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.006427583394504315, std values: 1.242090160623714, min values: -2.9622221028070275, max values: 4.0, median values: 0.1526908754888841, and quantile values: 0.25 -0.703967\n0.50 0.152691\n0.75 0.903871\nName: 1641, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20713366435297925, std values: 0.7576754625346905, min values: -2.5689076212724418, max values: 5.0, median values: 0.1599112329480065, and quantile values: 0.25 -0.260150\n0.50 0.159911\n0.75 0.667666\nName: 1642, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.060289391778505716, std values: 0.901567590940162, min values: -2.6635706018350787, max values: 3.477886732511886, median values: -0.0234002948104344, and quantile values: 0.25 -0.545372\n0.50 -0.023400\n0.75 0.561801\nName: 1643, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28315038755769023, std values: 1.037527916728067, min values: -2.315439689490704, max values: 3.3636961113187773, median values: 0.3142818716787446, and quantile values: 0.25 -0.553410\n0.50 0.314282\n0.75 1.159605\nName: 1644, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1688016775724772, std values: 0.9116639428077193, min values: -2.075893982221889, max values: 3.055874031381882, median values: 0.129428481221324, and quantile values: 0.25 -0.538514\n0.50 0.129428\n0.75 0.871670\nName: 1645, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1533697800665037, std values: 0.8820235493286007, min values: -2.2915911556076085, max values: 3.2696814875916886, median values: 0.2278064463343717, and quantile values: 0.25 -0.465715\n0.50 0.227806\n0.75 0.736627\nName: 1646, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3999405451852469, std values: 0.7653570850208977, min values: -2.1017566422541964, max values: 3.0, median values: -0.4885134250778367, and quantile values: 0.25 -0.946052\n0.50 -0.488513\n0.75 0.045181\nName: 1647, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5054048523979416, std values: 1.0559622783721891, min values: -3.00972886875607, max values: 3.455472209455805, median values: -0.52083320322711, and quantile values: 0.25 -1.178007\n0.50 -0.520833\n0.75 0.104275\nName: 1648, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12444852295402646, std values: 0.8468027761574345, min values: -2.092815429397888, max values: 6.0, median values: 0.0299021036418524, and quantile values: 0.25 -0.474635\n0.50 0.029902\n0.75 0.690645\nName: 1649, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18679909216647342, std values: 1.001267072406756, min values: -2.8563982925340614, max values: 5.0, median values: 0.3117281548512224, and quantile values: 0.25 -0.470642\n0.50 0.311728\n0.75 0.940721\nName: 1650, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2740145860672877, std values: 1.0393363267279647, min values: -2.679056533720636, max values: 5.0, median values: 0.3827115617119593, and quantile values: 0.25 -0.250646\n0.50 0.382712\n0.75 0.902911\nName: 1651, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28932567335746157, std values: 1.400450043570347, min values: -2.9622221028070275, max values: 6.0, median values: -0.0674330428196086, and quantile values: 0.25 -1.766693\n0.50 -0.067433\n0.75 0.905864\nName: 1652, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0856733947365879, std values: 0.820206678401739, min values: -2.6115251494731915, max values: 3.362228250221886, median values: -0.1580147487724299, and quantile values: 0.25 -0.653204\n0.50 -0.158015\n0.75 0.443747\nName: 1653, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28088145027710487, std values: 0.8422872845703904, min values: -2.2342454056102303, max values: 4.0, median values: -0.3201898273681489, and quantile values: 0.25 -0.844568\n0.50 -0.320190\n0.75 0.207574\nName: 1654, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5659422895361169, std values: 0.9085256272681155, min values: -2.4536054974529624, max values: 6.0, median values: 0.6353115759650886, and quantile values: 0.25 -0.077850\n0.50 0.635312\n0.75 1.310053\nName: 1655, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5018941082019769, std values: 0.9005415534283241, min values: -3.002493140275396, max values: 5.0, median values: -0.6631926047524969, and quantile values: 0.25 -1.183893\n0.50 -0.663193\n0.75 0.067694\nName: 1656, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.006606992242503434, std values: 0.8223591255217927, min values: -2.7428415536925543, max values: 5.0, median values: -0.0863020484422175, and quantile values: 0.25 -0.572878\n0.50 -0.086302\n0.75 0.569661\nName: 1657, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17027663030835286, std values: 0.7310439774466282, min values: -2.27710446206836, max values: 3.0, median values: 0.2061010382447635, and quantile values: 0.25 -0.298333\n0.50 0.206101\n0.75 0.643987\nName: 1658, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14279901145683163, std values: 0.8514910786773778, min values: -1.975766900365719, max values: 2.740717415481173, median values: 0.1540183359961044, and quantile values: 0.25 -0.518942\n0.50 0.154018\n0.75 0.811931\nName: 1659, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0811354908925704, std values: 0.8804968626104526, min values: -2.486556664247513, max values: 4.278004674434932, median values: 0.1010205232552067, and quantile values: 0.25 -0.426754\n0.50 0.101021\n0.75 0.642607\nName: 1660, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4009671023658339, std values: 0.7768634597285078, min values: -2.0540666893857096, max values: 6.0, median values: -0.4930246560855852, and quantile values: 0.25 -0.980690\n0.50 -0.493025\n0.75 0.078832\nName: 1661, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41656059086742403, std values: 1.0796392380084716, min values: -2.0708241912939487, max values: 3.721862465295849, median values: 0.2652555889650472, and quantile values: 0.25 -0.385888\n0.50 0.265256\n0.75 1.189149\nName: 1662, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43372423456265463, std values: 0.9530930802102306, min values: -1.9448684327275296, max values: 3.5427287984042666, median values: 0.4932734572620175, and quantile values: 0.25 -0.263056\n0.50 0.493273\n0.75 1.137268\nName: 1663, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12312515547675794, std values: 0.86579661771295, min values: -2.3662089438608045, max values: 3.397048482165858, median values: 0.1615013758683873, and quantile values: 0.25 -0.501417\n0.50 0.161501\n0.75 0.758848\nName: 1664, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2277138680542543, std values: 1.266826280545093, min values: -2.419133598913117, max values: 3.627976272701048, median values: 0.1994319733438119, and quantile values: 0.25 -0.848126\n0.50 0.199432\n0.75 1.245157\nName: 1665, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14070164862382503, std values: 0.9580022093366, min values: -2.0131371991989395, max values: 5.0, median values: 0.1190677620602861, and quantile values: 0.25 -0.580774\n0.50 0.119068\n0.75 0.804074\nName: 1666, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.298115360326389, std values: 1.0743363747690717, min values: -2.727901130262228, max values: 4.0, median values: -1.7027338550507338, and quantile values: 0.25 -2.140406\n0.50 -1.702734\n0.75 -0.511112\nName: 1667, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27357364521071775, std values: 1.191291322477485, min values: -2.8327898928872086, max values: 4.278004674434932, median values: 0.4172593970378063, and quantile values: 0.25 -0.290558\n0.50 0.417259\n0.75 1.007648\nName: 1668, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.025027102905437002, std values: 0.7222467440912428, min values: -2.021990593288096, max values: 3.022367128892113, median values: 0.0298784585771528, and quantile values: 0.25 -0.473099\n0.50 0.029878\n0.75 0.482571\nName: 1669, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6768948245541705, std values: 1.2138332045351627, min values: -2.5953860446419177, max values: 3.438667023696733, median values: 0.6628838186030759, and quantile values: 0.25 -0.194153\n0.50 0.662884\n0.75 1.692265\nName: 1670, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31007081245648305, std values: 0.833295888840295, min values: -2.104667097879677, max values: 4.0, median values: 0.3514840648772622, and quantile values: 0.25 -0.212430\n0.50 0.351484\n0.75 0.854782\nName: 1671, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3282070702164034, std values: 1.0147862466548807, min values: -3.045947208515832, max values: 6.0, median values: -0.2951841372049869, and quantile values: 0.25 -0.902735\n0.50 -0.295184\n0.75 0.319610\nName: 1672, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33273628531541316, std values: 1.0188647546370686, min values: -2.5207136460360453, max values: 3.0, median values: -0.3589345741518401, and quantile values: 0.25 -1.117379\n0.50 -0.358935\n0.75 0.395556\nName: 1673, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40903734457574203, std values: 0.8080515506062638, min values: -2.067417906860217, max values: 4.026668017837955, median values: 0.4742034028012623, and quantile values: 0.25 -0.135966\n0.50 0.474203\n0.75 1.000718\nName: 1674, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.022073708280677885, std values: 0.9062079127904109, min values: -2.5422910691068967, max values: 3.0, median values: -0.0108231613341455, and quantile values: 0.25 -0.619018\n0.50 -0.010823\n0.75 0.621956\nName: 1675, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6001287324747391, std values: 1.1633990525211295, min values: -3.0148736195915964, max values: 3.0, median values: -0.4410844855360106, and quantile values: 0.25 -1.419148\n0.50 -0.441084\n0.75 0.214795\nName: 1676, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10647523846394155, std values: 0.8306482778596596, min values: -2.2038853164231766, max values: 3.281452258958016, median values: 0.0590786360954113, and quantile values: 0.25 -0.432511\n0.50 0.059079\n0.75 0.612594\nName: 1677, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1830673925690557, std values: 0.8563975733305934, min values: -2.7688682710567485, max values: 3.760287110694155, median values: -0.1484571734796618, and quantile values: 0.25 -0.716192\n0.50 -0.148457\n0.75 0.363815\nName: 1678, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34877931171674725, std values: 0.8298916220915664, min values: -2.019021851668823, max values: 5.0, median values: -0.4510928171438162, and quantile values: 0.25 -0.944674\n0.50 -0.451093\n0.75 0.131526\nName: 1679, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5261473535790616, std values: 0.9054082535337274, min values: -2.673549169958716, max values: 6.0, median values: -0.6088769242466167, and quantile values: 0.25 -1.146431\n0.50 -0.608877\n0.75 -0.001773\nName: 1680, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6328819249305857, std values: 0.8852596087302028, min values: -3.0484008792629496, max values: 5.0, median values: -0.7085159619727297, and quantile values: 0.25 -1.240864\n0.50 -0.708516\n0.75 -0.109409\nName: 1681, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.245454542538241, std values: 0.910466488828339, min values: -2.1232984465035774, max values: 3.110498035652072, median values: 0.2587003976593999, and quantile values: 0.25 -0.415778\n0.50 0.258700\n0.75 0.852196\nName: 1682, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13005342859094138, std values: 0.8729716954320952, min values: -2.5825978442440407, max values: 6.0, median values: 0.1426676827470578, and quantile values: 0.25 -0.519477\n0.50 0.142668\n0.75 0.825019\nName: 1683, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1173073409599357, std values: 0.8625909108746936, min values: -2.841647375415054, max values: 3.9905524164385566, median values: 0.1896393717296551, and quantile values: 0.25 -0.334136\n0.50 0.189639\n0.75 0.636862\nName: 1684, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.059087820664519994, std values: 0.929428737676443, min values: -2.8246479422601736, max values: 6.0, median values: 0.0238494757334109, and quantile values: 0.25 -0.481707\n0.50 0.023849\n0.75 0.653672\nName: 1685, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.005205766751926434, std values: 0.9115502639593065, min values: -2.7314147016889114, max values: 3.258347009006034, median values: 0.0917833121107224, and quantile values: 0.25 -0.466317\n0.50 0.091783\n0.75 0.589696\nName: 1686, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17997762613004484, std values: 0.7137762312271845, min values: -2.4176069991382847, max values: 6.0, median values: -0.2030601145957759, and quantile values: 0.25 -0.665218\n0.50 -0.203060\n0.75 0.254286\nName: 1687, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04033600374204624, std values: 0.9591932522811671, min values: -2.421787485176295, max values: 3.2071942083719924, median values: -0.107935280411141, and quantile values: 0.25 -0.722897\n0.50 -0.107935\n0.75 0.562194\nName: 1688, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23294030787055067, std values: 0.9125417518462597, min values: -2.3808324358856225, max values: 3.784832159836258, median values: -0.2594659331705771, and quantile values: 0.25 -0.954096\n0.50 -0.259466\n0.75 0.381716\nName: 1689, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03880287919184866, std values: 0.960116056363293, min values: -2.693453432157769, max values: 3.598076523509904, median values: -0.0116493929052554, and quantile values: 0.25 -0.740224\n0.50 -0.011649\n0.75 0.744490\nName: 1690, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.014125706375406048, std values: 0.8664884154899295, min values: -2.620939317041317, max values: 3.247416277295021, median values: -0.0905074405194693, and quantile values: 0.25 -0.611099\n0.50 -0.090507\n0.75 0.589528\nName: 1691, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16180036336158202, std values: 0.8189429852484098, min values: -2.1154918763173005, max values: 5.0, median values: -0.1826415299136272, and quantile values: 0.25 -0.733774\n0.50 -0.182642\n0.75 0.366583\nName: 1692, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30119007301850276, std values: 0.7947883694941468, min values: -2.048935494746508, max values: 3.5908526919299577, median values: 0.344176727350903, and quantile values: 0.25 -0.228534\n0.50 0.344177\n0.75 0.837540\nName: 1693, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0968443584095564, std values: 0.7698052602511545, min values: -2.034483421188461, max values: 2.85639829253406, median values: -0.0943517939540105, and quantile values: 0.25 -0.645250\n0.50 -0.094352\n0.75 0.421092\nName: 1694, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4975872380717252, std values: 0.9400201580203503, min values: -2.641174291463747, max values: 2.798017850688903, median values: -0.5638774994265633, and quantile values: 0.25 -1.279364\n0.50 -0.563877\n0.75 0.145199\nName: 1695, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5707671836670969, std values: 1.2309448379810726, min values: -2.5689076212724418, max values: 5.0, median values: 0.6636044180131654, and quantile values: 0.25 -0.273619\n0.50 0.663604\n0.75 1.561467\nName: 1696, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2922624649257965, std values: 1.0788219624932107, min values: -2.815821936576896, max values: 3.017846660960028, median values: -0.2100905362356169, and quantile values: 0.25 -0.818823\n0.50 -0.210091\n0.75 0.398494\nName: 1697, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2589276121889082, std values: 1.369418309541463, min values: -2.558791007225312, max values: 3.0, median values: 0.0996642862678395, and quantile values: 0.25 -1.789848\n0.50 0.099664\n0.75 0.780957\nName: 1698, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.296917421812215, std values: 0.7493080378170524, min values: -2.10781213968935, max values: 3.362228250221886, median values: -0.3867149327243557, and quantile values: 0.25 -0.813348\n0.50 -0.386715\n0.75 0.136161\nName: 1699, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5188690943179444, std values: 0.910956239949068, min values: -2.525362520654854, max values: 5.0, median values: -0.6766721885356026, and quantile values: 0.25 -1.242650\n0.50 -0.676672\n0.75 0.057120\nName: 1700, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22558187629361864, std values: 1.2100354640385709, min values: -2.9622221028070275, max values: 4.0, median values: 0.4983182833351378, and quantile values: 0.25 -0.338365\n0.50 0.498318\n0.75 1.041441\nName: 1701, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14501907889598648, std values: 1.0040472651743493, min values: -2.5743883495350026, max values: 5.0, median values: 0.3427226459657763, and quantile values: 0.25 -0.401776\n0.50 0.342723\n0.75 0.843782\nName: 1702, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06621138098555678, std values: 0.7979247861039729, min values: -2.5501488616953263, max values: 3.9048392686725855, median values: 0.0107539068036326, and quantile values: 0.25 -0.477843\n0.50 0.010754\n0.75 0.603391\nName: 1703, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4693768984488309, std values: 1.0202291838782898, min values: -2.584593648802428, max values: 3.627976272701048, median values: -0.5119233278281714, and quantile values: 0.25 -1.131161\n0.50 -0.511923\n0.75 0.213325\nName: 1704, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.340579103014172, std values: 0.8124535173030356, min values: -2.7825548156447035, max values: 6.0, median values: -0.3108598804714137, and quantile values: 0.25 -0.863765\n0.50 -0.310860\n0.75 0.145228\nName: 1705, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1712702929521243, std values: 1.1202661263548608, min values: -2.1525285902534432, max values: 3.760287110694155, median values: 0.0494162190626674, and quantile values: 0.25 -0.668211\n0.50 0.049416\n0.75 0.872144\nName: 1706, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.5506387070090268, std values: 1.491819856588426, min values: -3.0148736195915964, max values: 3.280245386470253, median values: -2.1371444472445806, and quantile values: 0.25 -2.482345\n0.50 -2.137144\n0.75 -1.772095\nName: 1707, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5700843199933482, std values: 0.9116043052055139, min values: -2.525881048269423, max values: 3.280245386470253, median values: 0.5852587897692207, and quantile values: 0.25 -0.088319\n0.50 0.585259\n0.75 1.315140\nName: 1708, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12657413104464726, std values: 0.850109549398936, min values: -2.8531572940820533, max values: 3.163266084685921, median values: -0.2383219842858853, and quantile values: 0.25 -0.728556\n0.50 -0.238322\n0.75 0.438902\nName: 1709, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25739919625163604, std values: 1.019204556152132, min values: -2.7098105252769584, max values: 5.0, median values: 0.3226888138531744, and quantile values: 0.25 -0.418552\n0.50 0.322689\n0.75 1.015549\nName: 1710, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.463725520983888, std values: 0.9232414808102403, min values: -2.6652153608723106, max values: 5.0, median values: 0.5947829380471404, and quantile values: 0.25 -0.079562\n0.50 0.594783\n0.75 1.132206\nName: 1711, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.015297060135721845, std values: 0.9650855031761912, min values: -2.9472833478224456, max values: 6.0, median values: -0.024818777397792, and quantile values: 0.25 -0.565458\n0.50 -0.024819\n0.75 0.554374\nName: 1712, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4731880813465461, std values: 0.9868324410764678, min values: -2.279213757581876, max values: 3.415255285860171, median values: -0.6643029312317814, and quantile values: 0.25 -1.243007\n0.50 -0.664303\n0.75 0.125301\nName: 1713, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3866676427993808, std values: 0.8472310928808352, min values: -2.6117120822772133, max values: 5.0, median values: -0.5169682844692375, and quantile values: 0.25 -1.017162\n0.50 -0.516968\n0.75 0.154425\nName: 1714, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.054563552394210214, std values: 0.9858764418185733, min values: -2.7230534645798463, max values: 3.0, median values: -0.0765559708412641, and quantile values: 0.25 -0.831111\n0.50 -0.076556\n0.75 0.667932\nName: 1715, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23896852369695948, std values: 1.0425260867136452, min values: -2.8663054413554843, max values: 6.0, median values: -0.0918901444677842, and quantile values: 0.25 -0.720567\n0.50 -0.091890\n0.75 0.396229\nName: 1716, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44118453840310723, std values: 1.0403022769024357, min values: -2.0477799217050063, max values: 5.0, median values: 0.4807787111516698, and quantile values: 0.25 -0.358700\n0.50 0.480779\n0.75 1.320942\nName: 1717, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30074456183498266, std values: 0.8786979680240204, min values: -2.055430953058359, max values: 4.0, median values: -0.382889358652586, and quantile values: 0.25 -1.022260\n0.50 -0.382889\n0.75 0.300193\nName: 1718, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6465463019858463, std values: 0.8753242141922426, min values: -1.92324274350822, max values: 3.306454397423372, median values: 0.7471799337291294, and quantile values: 0.25 0.059878\n0.50 0.747180\n0.75 1.270734\nName: 1719, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11274582034069215, std values: 0.7580694324714504, min values: -2.3344113078233786, max values: 3.197902420311553, median values: -0.1240440071270457, and quantile values: 0.25 -0.634912\n0.50 -0.124044\n0.75 0.313391\nName: 1720, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12774193499249498, std values: 0.8420342720297089, min values: -2.001572802478312, max values: 6.0, median values: -0.2407298935229488, and quantile values: 0.25 -0.722719\n0.50 -0.240730\n0.75 0.415397\nName: 1721, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4125155195765805, std values: 0.9285614974779323, min values: -2.372995607737588, max values: 5.0, median values: -0.5282277895781013, and quantile values: 0.25 -1.182750\n0.50 -0.528228\n0.75 0.203170\nName: 1722, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24660089055977288, std values: 0.8435108091436351, min values: -2.4657737907743, max values: 3.3337116327022187, median values: -0.3620203155748456, and quantile values: 0.25 -0.853612\n0.50 -0.362020\n0.75 0.303162\nName: 1723, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.049132060779027036, std values: 1.019171508276916, min values: -2.5953860446419177, max values: 3.721862465295849, median values: -0.0613700401464319, and quantile values: 0.25 -0.823588\n0.50 -0.061370\n0.75 0.691739\nName: 1724, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32570868478942294, std values: 1.0146605434640594, min values: -2.5879430435308, max values: 3.2696814875916886, median values: -0.4423133660601731, and quantile values: 0.25 -1.167735\n0.50 -0.442313\n0.75 0.361381\nName: 1725, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02361727468676494, std values: 0.8227397658928614, min values: -2.070226764228553, max values: 3.041094191308108, median values: -0.0824121714572623, and quantile values: 0.25 -0.588157\n0.50 -0.082412\n0.75 0.461392\nName: 1726, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42054777616354116, std values: 0.9513795190534434, min values: -2.5122218748354936, max values: 4.278004674434932, median values: -0.4888063736939644, and quantile values: 0.25 -1.167463\n0.50 -0.488806\n0.75 0.183500\nName: 1727, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10808059322557484, std values: 0.8014885637127678, min values: -2.319531878017951, max values: 3.110498035652072, median values: -0.2232002463910067, and quantile values: 0.25 -0.683761\n0.50 -0.223200\n0.75 0.421712\nName: 1728, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27506828668846006, std values: 1.142318566517615, min values: -2.642042398333877, max values: 3.784832159836258, median values: 0.3938176575947901, and quantile values: 0.25 -0.526139\n0.50 0.393818\n0.75 1.184009\nName: 1729, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8460281237545462, std values: 1.0537429197339994, min values: -3.101800431129944, max values: 6.0, median values: -0.9143393247224916, and quantile values: 0.25 -1.631105\n0.50 -0.914339\n0.75 -0.140113\nName: 1730, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5276037496428833, std values: 0.9052002217411755, min values: -2.673124659932621, max values: 6.0, median values: -0.6071668075664666, and quantile values: 0.25 -1.280488\n0.50 -0.607167\n0.75 0.080539\nName: 1731, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7185337035996382, std values: 0.9270823741531768, min values: -2.1355258137915776, max values: 5.0, median values: 0.8120014271705444, and quantile values: 0.25 0.121998\n0.50 0.812001\n0.75 1.360777\nName: 1732, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5556501493525313, std values: 0.9251171741341792, min values: -2.732564679617164, max values: 3.434669824302974, median values: -0.6716574399135086, and quantile values: 0.25 -1.316445\n0.50 -0.671657\n0.75 0.059189\nName: 1733, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1495471347039617, std values: 1.0870936493644332, min values: -2.608390851963037, max values: 5.0, median values: 0.0698413566427624, and quantile values: 0.25 -0.518532\n0.50 0.069841\n0.75 0.888649\nName: 1734, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15948923645800916, std values: 0.8267629479665981, min values: -2.306686707683535, max values: 3.0, median values: -0.2481748544827629, and quantile values: 0.25 -0.734548\n0.50 -0.248175\n0.75 0.371542\nName: 1735, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2880205860065987, std values: 0.8519941386791293, min values: -2.358510294808616, max values: 3.3014869995452325, median values: -0.4139868165769866, and quantile values: 0.25 -0.906217\n0.50 -0.413987\n0.75 0.253791\nName: 1736, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2647570009543111, std values: 0.9378771829526871, min values: -2.245752867605861, max values: 3.17157439250477, median values: -0.3738725724282202, and quantile values: 0.25 -1.015642\n0.50 -0.373873\n0.75 0.392033\nName: 1737, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1412162740365984, std values: 0.824095557201601, min values: -2.6652153608723106, max values: 3.362228250221886, median values: -0.2120194321726725, and quantile values: 0.25 -0.705057\n0.50 -0.212019\n0.75 0.371542\nName: 1738, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07479433415547419, std values: 1.1049198643402303, min values: -2.610097161345549, max values: 4.0, median values: 0.3026104784719458, and quantile values: 0.25 -0.522054\n0.50 0.302610\n0.75 0.841072\nName: 1739, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5242571497406979, std values: 0.8792358794498312, min values: -2.5689076212724418, max values: 5.0, median values: -0.6690371747380867, and quantile values: 0.25 -1.197550\n0.50 -0.669037\n0.75 -0.001184\nName: 1740, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12265436266742628, std values: 0.7705415355018054, min values: -2.0884920198234647, max values: 3.0, median values: -0.1298538620147194, and quantile values: 0.25 -0.663655\n0.50 -0.129854\n0.75 0.355970\nName: 1741, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1903681142687738, std values: 0.9640954518989855, min values: -2.8531572940820533, max values: 6.0, median values: -0.1626733212635436, and quantile values: 0.25 -0.725017\n0.50 -0.162673\n0.75 0.417079\nName: 1742, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13161691408200077, std values: 0.8801804956475356, min values: -2.5820330744015787, max values: 4.0, median values: 0.1280766275216106, and quantile values: 0.25 -0.377956\n0.50 0.128077\n0.75 0.693980\nName: 1743, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10599906996095357, std values: 0.9640384806202619, min values: -2.1017566422541964, max values: 3.1995118554872866, median values: -0.2543709842873835, and quantile values: 0.25 -0.822197\n0.50 -0.254371\n0.75 0.560776\nName: 1744, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.281286739347546, std values: 0.7807859401272105, min values: -2.4035175084380422, max values: 5.0, median values: -0.2944650726285181, and quantile values: 0.25 -0.832824\n0.50 -0.294465\n0.75 0.208878\nName: 1745, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4603767307523844, std values: 0.8807585195868541, min values: -2.0604470366149066, max values: 3.4566816047670264, median values: 0.4333392406321543, and quantile values: 0.25 -0.231252\n0.50 0.433339\n0.75 1.138660\nName: 1746, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29181772416526813, std values: 0.8028938613566983, min values: -2.0152308565268915, max values: 4.243835016543704, median values: 0.2911305978760586, and quantile values: 0.25 -0.234593\n0.50 0.291131\n0.75 0.797010\nName: 1747, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2227426146341099, std values: 0.9647019795424617, min values: -2.919359491767569, max values: 5.0, median values: -0.1661346607814881, and quantile values: 0.25 -0.927008\n0.50 -0.166135\n0.75 0.485203\nName: 1748, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19625664216320468, std values: 0.9523327053259447, min values: -2.730840794324401, max values: 3.047545592545638, median values: -0.0993809984518656, and quantile values: 0.25 -0.793572\n0.50 -0.099381\n0.75 0.454073\nName: 1749, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1269514449971615, std values: 0.880585117780498, min values: -2.5039074859839925, max values: 4.0, median values: 0.0439669048570253, and quantile values: 0.25 -0.537309\n0.50 0.043967\n0.75 0.710436\nName: 1750, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08090251846268397, std values: 0.8615002067183868, min values: -2.2889362156285724, max values: 3.867701659180865, median values: -0.1977186253849895, and quantile values: 0.25 -0.729728\n0.50 -0.197719\n0.75 0.497829\nName: 1751, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06324617771179195, std values: 0.905204054753473, min values: -2.673124659932621, max values: 6.0, median values: 0.1459633875112516, and quantile values: 0.25 -0.479665\n0.50 0.145963\n0.75 0.645725\nName: 1752, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40260565703839896, std values: 0.9252447510785622, min values: -2.238708266758884, max values: 6.0, median values: -0.5192568631236462, and quantile values: 0.25 -1.078633\n0.50 -0.519257\n0.75 0.149209\nName: 1753, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9343505168589294, std values: 1.3920429961668908, min values: -2.727901130262228, max values: 4.243835016543704, median values: -1.6842246352128796, and quantile values: 0.25 -2.140406\n0.50 -1.684225\n0.75 0.372125\nName: 1754, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3277087300286898, std values: 0.7549394088434219, min values: -2.087432639025188, max values: 4.0, median values: 0.3562891725844067, and quantile values: 0.25 -0.124967\n0.50 0.356289\n0.75 0.813655\nName: 1755, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1570484391992787, std values: 0.7746116286442969, min values: -2.072440627773495, max values: 4.0, median values: 0.1456176325019771, and quantile values: 0.25 -0.352866\n0.50 0.145618\n0.75 0.635172\nName: 1756, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5965818248258685, std values: 0.919009537842372, min values: -1.864197307739864, max values: 3.3760121766849016, median values: 0.5990873521853439, and quantile values: 0.25 0.013732\n0.50 0.599087\n0.75 1.224844\nName: 1757, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14395755754324013, std values: 0.7235356600590146, min values: -2.196181211030292, max values: 3.2266531185902125, median values: 0.0993572469726997, and quantile values: 0.25 -0.340782\n0.50 0.099357\n0.75 0.585455\nName: 1758, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1531350783927841, std values: 0.7558326640915849, min values: -2.1067975134574946, max values: 3.319774799707247, median values: 0.1126810137707283, and quantile values: 0.25 -0.330267\n0.50 0.112681\n0.75 0.640182\nName: 1759, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.47261098233129634, std values: 0.7940572455379026, min values: -2.564449278715455, max values: 3.667275230673496, median values: -0.5444770184497427, and quantile values: 0.25 -1.021494\n0.50 -0.544477\n0.75 -0.028460\nName: 1760, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1802775224254008, std values: 1.085004640589033, min values: -2.7211321814067784, max values: 3.0, median values: 0.0658696967120868, and quantile values: 0.25 -0.769196\n0.50 0.065870\n0.75 0.558070\nName: 1761, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09639779773915658, std values: 0.9389240938697346, min values: -2.739804196611005, max values: 6.0, median values: -0.0021034724486222, and quantile values: 0.25 -0.668789\n0.50 -0.002103\n0.75 0.553089\nName: 1762, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30819965240797825, std values: 0.778512154963275, min values: -2.5631960397140583, max values: 4.0, median values: -0.400109606808943, and quantile values: 0.25 -0.840026\n0.50 -0.400110\n0.75 0.149452\nName: 1763, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35334276837902623, std values: 1.0583893456998381, min values: -2.842989614395848, max values: 5.0, median values: 0.285848046803426, and quantile values: 0.25 -0.451192\n0.50 0.285848\n0.75 1.190473\nName: 1764, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07755760747376493, std values: 0.7745187289005143, min values: -2.041472651088877, max values: 3.1227871431249503, median values: 0.0309315802209516, and quantile values: 0.25 -0.410419\n0.50 0.030932\n0.75 0.532856\nName: 1765, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3239369743373956, std values: 0.8937109446948874, min values: -2.8563982925340614, max values: 4.0, median values: 0.4276171119045392, and quantile values: 0.25 -0.223850\n0.50 0.427617\n0.75 0.935327\nName: 1766, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49149756026242775, std values: 1.032102577601932, min values: -2.64479559868397, max values: 6.0, median values: -0.5471943450273047, and quantile values: 0.25 -1.263536\n0.50 -0.547194\n0.75 0.105893\nName: 1767, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07901168648457375, std values: 0.9882094048112442, min values: -2.6652153608723106, max values: 3.496479817235339, median values: -0.184564485458502, and quantile values: 0.25 -0.864725\n0.50 -0.184564\n0.75 0.619404\nName: 1768, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2875469368828769, std values: 0.7455975992179832, min values: -2.72346435408924, max values: 4.0, median values: 0.3149763522155859, and quantile values: 0.25 -0.156899\n0.50 0.314976\n0.75 0.736066\nName: 1769, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4615848769276398, std values: 0.9521144539829669, min values: -2.730840794324401, max values: 3.260388056018088, median values: 0.5523884120167891, and quantile values: 0.25 -0.060017\n0.50 0.552388\n0.75 1.053405\nName: 1770, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2524130863545405, std values: 0.9507812478105779, min values: -2.7211321814067784, max values: 3.496479817235339, median values: -0.3143686734499487, and quantile values: 0.25 -0.907718\n0.50 -0.314369\n0.75 0.405030\nName: 1771, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3167779083787781, std values: 0.8919828739109068, min values: -2.2398683045325223, max values: 3.670892362631932, median values: 0.3748612266701576, and quantile values: 0.25 -0.296653\n0.50 0.374861\n0.75 0.885287\nName: 1772, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3129350348624811, std values: 0.9575664805803281, min values: -2.101255482180127, max values: 6.0, median values: -0.4327422126035616, and quantile values: 0.25 -1.111476\n0.50 -0.432742\n0.75 0.359414\nName: 1773, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3801631314608708, std values: 1.0526460421798873, min values: -2.862971749830789, max values: 3.132053530264631, median values: 0.3780930662324842, and quantile values: 0.25 -0.354591\n0.50 0.378093\n0.75 1.234820\nName: 1774, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17510132519005597, std values: 0.9338479538805863, min values: -2.1232100101643527, max values: 6.0, median values: 0.2446244232347262, and quantile values: 0.25 -0.517839\n0.50 0.244624\n0.75 0.871107\nName: 1775, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04013715476261679, std values: 0.7508892233823027, min values: -2.30751313346571, max values: 3.0, median values: 0.0482676119424749, and quantile values: 0.25 -0.469850\n0.50 0.048268\n0.75 0.551422\nName: 1776, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13101420166419456, std values: 0.980982501604537, min values: -2.410408282645542, max values: 6.0, median values: -0.2438035216381917, and quantile values: 0.25 -0.923122\n0.50 -0.243804\n0.75 0.552127\nName: 1777, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32695852244985024, std values: 1.3097103375203096, min values: -2.8467638118011016, max values: 5.0, median values: -0.4460696089604268, and quantile values: 0.25 -1.312004\n0.50 -0.446070\n0.75 0.556205\nName: 1778, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12981957260863983, std values: 0.8444700778690437, min values: -2.733804248449497, max values: 3.0, median values: -0.0654249737220492, and quantile values: 0.25 -0.651060\n0.50 -0.065425\n0.75 0.379937\nName: 1779, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06510163167033839, std values: 1.0269566047986556, min values: -2.7510671817729784, max values: 6.0, median values: -0.0191923958080605, and quantile values: 0.25 -0.638178\n0.50 -0.019192\n0.75 0.718933\nName: 1780, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19312864949106606, std values: 0.922653034630114, min values: -2.63315074164461, max values: 6.0, median values: -0.2619032079969103, and quantile values: 0.25 -0.745363\n0.50 -0.261903\n0.75 0.369794\nName: 1781, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2152466880599743, std values: 1.095545512165191, min values: -2.579952672199424, max values: 6.0, median values: 0.1430735909602351, and quantile values: 0.25 -0.664772\n0.50 0.143074\n0.75 1.055206\nName: 1782, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5227084806317421, std values: 0.8209365268915274, min values: -2.132840460960708, max values: 3.132053530264631, median values: -0.6750776134797731, and quantile values: 0.25 -1.124399\n0.50 -0.675078\n0.75 -0.017136\nName: 1783, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2321915321981331, std values: 1.1841780466458585, min values: -3.045947208515832, max values: 6.0, median values: -0.2435774061957442, and quantile values: 0.25 -0.945699\n0.50 -0.243577\n0.75 0.547769\nName: 1784, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3497666614592135, std values: 1.0572253740465076, min values: -2.769191083399913, max values: 3.0, median values: -0.3433743857600037, and quantile values: 0.25 -1.147663\n0.50 -0.343374\n0.75 0.402463\nName: 1785, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5571335562685764, std values: 1.0051463779014695, min values: -2.349293916724472, max values: 3.477886732511886, median values: -0.7018495132124768, and quantile values: 0.25 -1.404225\n0.50 -0.701850\n0.75 0.110432\nName: 1786, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2479355715887202, std values: 1.0986578761553614, min values: -2.510124273981921, max values: 3.241738645014612, median values: 0.3043152644038006, and quantile values: 0.25 -0.550407\n0.50 0.304315\n0.75 1.119541\nName: 1787, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2440453188495267, std values: 0.8448454165720038, min values: -2.622709665346679, max values: 3.670892362631932, median values: -0.2455912263705613, and quantile values: 0.25 -0.794478\n0.50 -0.245591\n0.75 0.314831\nName: 1788, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27055925977047707, std values: 0.9484363348740908, min values: -2.209826040384377, max values: 3.2071942083719924, median values: 0.1730849895137504, and quantile values: 0.25 -0.389787\n0.50 0.173085\n0.75 0.869243\nName: 1789, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.012067778110566063, std values: 0.8476389619211533, min values: -2.7648443048846945, max values: 3.090297571450676, median values: 0.0655380986652356, and quantile values: 0.25 -0.628754\n0.50 0.065538\n0.75 0.600050\nName: 1790, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2590515616310972, std values: 0.8342116116859211, min values: -2.3051489257282016, max values: 5.0, median values: -0.3590814365140637, and quantile values: 0.25 -0.848939\n0.50 -0.359081\n0.75 0.266553\nName: 1791, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10242712738316816, std values: 0.9189730543179118, min values: -2.5156802245814003, max values: 4.0, median values: 0.1692906792742323, and quantile values: 0.25 -0.494798\n0.50 0.169291\n0.75 0.739230\nName: 1792, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38793665056408033, std values: 1.075954028959147, min values: -3.0687217584296813, max values: 3.306454397423372, median values: 0.5887123758581143, and quantile values: 0.25 -0.251186\n0.50 0.588712\n0.75 1.106667\nName: 1793, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03813114107995261, std values: 0.8086123731955434, min values: -2.572123985342288, max values: 4.0, median values: -0.0599062788752257, and quantile values: 0.25 -0.494425\n0.50 -0.059906\n0.75 0.534221\nName: 1794, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.914092574565746, std values: 1.0244075006954378, min values: -2.147228856409125, max values: 3.9048392686725855, median values: 0.997495974903972, and quantile values: 0.25 0.159737\n0.50 0.997496\n0.75 1.716028\nName: 1795, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.601304836713311, std values: 0.8005849158053993, min values: -2.4176069991382847, max values: 6.0, median values: 0.69755785439209, and quantile values: 0.25 0.118337\n0.50 0.697558\n0.75 1.147605\nName: 1796, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15283618055584225, std values: 0.9271842251551475, min values: -2.841647375415054, max values: 3.103622965243153, median values: -0.2180420731829688, and quantile values: 0.25 -0.763812\n0.50 -0.218042\n0.75 0.461684\nName: 1797, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40826184637130597, std values: 0.7768400548073544, min values: -2.1695974540436334, max values: 4.0, median values: 0.4508261113247466, and quantile values: 0.25 -0.129548\n0.50 0.450826\n0.75 0.973073\nName: 1798, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.036634536965607346, std values: 0.7513931512879496, min values: -1.993378714876606, max values: 3.2696814875916886, median values: 0.0803965709300418, and quantile values: 0.25 -0.507832\n0.50 0.080397\n0.75 0.545135\nName: 1799, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02986915525099897, std values: 0.7448709490315041, min values: -2.119621483749997, max values: 3.026950214607353, median values: -0.0338247252089074, and quantile values: 0.25 -0.484975\n0.50 -0.033825\n0.75 0.393639\nName: 1800, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32873056919082483, std values: 0.7547175379999905, min values: -2.0211405625505043, max values: 5.0, median values: -0.4177885055494046, and quantile values: 0.25 -0.864325\n0.50 -0.417789\n0.75 0.119258\nName: 1801, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3803862730778957, std values: 0.8950098882502325, min values: -2.250744217410659, max values: 3.082096909284949, median values: 0.4189493308647396, and quantile values: 0.25 -0.273122\n0.50 0.418949\n0.75 1.094185\nName: 1802, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3393430110176901, std values: 1.1238110504012224, min values: -2.8164291268114208, max values: 3.405671179043623, median values: 0.4268321422036331, and quantile values: 0.25 -0.495208\n0.50 0.426832\n0.75 1.238488\nName: 1803, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04097922110532397, std values: 0.8259091602111962, min values: -2.4536054974529624, max values: 6.0, median values: -0.0531483460614632, and quantile values: 0.25 -0.531809\n0.50 -0.053148\n0.75 0.563794\nName: 1804, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18083236523647778, std values: 0.797071178607257, min values: -2.1775880058603043, max values: 3.670892362631932, median values: -0.2820877104392618, and quantile values: 0.25 -0.732908\n0.50 -0.282088\n0.75 0.298333\nName: 1805, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.004354980204553156, std values: 1.019519223990195, min values: -2.5201815750705507, max values: 4.0, median values: 0.000898111290436, and quantile values: 0.25 -0.745457\n0.50 0.000898\n0.75 0.746018\nName: 1806, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20175840171004736, std values: 0.789790540076436, min values: -2.1355258137915776, max values: 4.026668017837955, median values: 0.1255780744690083, and quantile values: 0.25 -0.306745\n0.50 0.125578\n0.75 0.680689\nName: 1807, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3248258533933308, std values: 0.9874964720600415, min values: -2.673124659932621, max values: 6.0, median values: -0.3502832612014146, and quantile values: 0.25 -0.938956\n0.50 -0.350283\n0.75 0.290355\nName: 1808, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09368392850023742, std values: 0.7516505214963588, min values: -2.687282238908512, max values: 3.9905524164385566, median values: -0.1021001098807694, and quantile values: 0.25 -0.600898\n0.50 -0.102100\n0.75 0.367518\nName: 1809, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14508795786780976, std values: 0.8568887744260285, min values: -2.4125199145038643, max values: 4.0, median values: 0.1832760687998619, and quantile values: 0.25 -0.509554\n0.50 0.183276\n0.75 0.801301\nName: 1810, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2912934368818423, std values: 0.7389621831632922, min values: -2.4737574649270093, max values: 3.0, median values: -0.3351257712643604, and quantile values: 0.25 -0.814729\n0.50 -0.335126\n0.75 0.155190\nName: 1811, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09715348903025617, std values: 0.688772353235869, min values: -1.7703129204826678, max values: 3.477886732511886, median values: 0.0863879982708922, and quantile values: 0.25 -0.347790\n0.50 0.086388\n0.75 0.525144\nName: 1812, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07706991447737079, std values: 0.789132732128227, min values: -2.057713263041302, max values: 6.0, median values: 0.0582446997385001, and quantile values: 0.25 -0.462587\n0.50 0.058245\n0.75 0.585409\nName: 1813, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44363674253070373, std values: 0.8359201561806677, min values: -2.081148156296265, max values: 5.0, median values: 0.4190627240175115, and quantile values: 0.25 -0.120544\n0.50 0.419063\n0.75 0.972503\nName: 1814, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3742018651017553, std values: 0.755867068413202, min values: -1.9942775479092616, max values: 3.241738645014612, median values: 0.4247822948034992, and quantile values: 0.25 -0.103800\n0.50 0.424782\n0.75 0.875623\nName: 1815, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32454994645382357, std values: 0.806589494428677, min values: -2.572123985342288, max values: 4.0, median values: 0.3960208450213026, and quantile values: 0.25 -0.214625\n0.50 0.396021\n0.75 0.912797\nName: 1816, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6427095942619936, std values: 0.7954675776242796, min values: -1.879511964260198, max values: 3.8226908388056136, median values: 0.7618965797594923, and quantile values: 0.25 0.093245\n0.50 0.761897\n0.75 1.216263\nName: 1817, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8462048443505961, std values: 1.2323046481112552, min values: -2.5743883495350026, max values: 5.0, median values: 0.9115448799109596, and quantile values: 0.25 0.097054\n0.50 0.911545\n0.75 1.752192\nName: 1818, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3522867751830511, std values: 1.03010293350106, min values: -2.101255482180127, max values: 4.0, median values: 0.2558788506315859, and quantile values: 0.25 -0.418311\n0.50 0.255879\n0.75 1.103452\nName: 1819, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5765854991177495, std values: 0.9784674192567412, min values: -2.8164291268114208, max values: 3.2696814875916886, median values: -0.6531038986401845, and quantile values: 0.25 -1.269007\n0.50 -0.653104\n0.75 0.066391\nName: 1820, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12251108564491615, std values: 0.7956706219955033, min values: -2.267175988438518, max values: 5.0, median values: 0.077409337952127, and quantile values: 0.25 -0.373974\n0.50 0.077409\n0.75 0.612547\nName: 1821, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02735053694278923, std values: 0.8575238860906206, min values: -2.240740315114864, max values: 4.0, median values: -0.0161662809106181, and quantile values: 0.25 -0.631331\n0.50 -0.016166\n0.75 0.515856\nName: 1822, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5208733613263756, std values: 1.0963048250597294, min values: -2.6660404517971856, max values: 4.0, median values: -0.6302314317993989, and quantile values: 0.25 -1.334141\n0.50 -0.630231\n0.75 0.255256\nName: 1823, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11460953302911756, std values: 0.8278318108410463, min values: -2.134987510471223, max values: 3.1395741599540568, median values: 0.0490139456007598, and quantile values: 0.25 -0.430304\n0.50 0.049014\n0.75 0.657576\nName: 1824, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10554421909195984, std values: 0.8107865546694464, min values: -2.572123985342288, max values: 4.0, median values: -0.105748459641881, and quantile values: 0.25 -0.670564\n0.50 -0.105748\n0.75 0.423276\nName: 1825, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.005856943009137851, std values: 0.8013042541607764, min values: -2.475778245535816, max values: 3.110498035652072, median values: 0.0095838276545469, and quantile values: 0.25 -0.551095\n0.50 0.009584\n0.75 0.456616\nName: 1826, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0501385397951271, std values: 1.2577951222832706, min values: -3.318456222573461, max values: 4.243835016543704, median values: 0.1429303265496375, and quantile values: 0.25 -0.783426\n0.50 0.142930\n0.75 1.076857\nName: 1827, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21137211650991497, std values: 0.8715570811513516, min values: -2.620939317041317, max values: 3.306454397423372, median values: -0.311794558056847, and quantile values: 0.25 -0.852383\n0.50 -0.311795\n0.75 0.349623\nName: 1828, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08224779170996026, std values: 0.944336903033281, min values: -2.5293911731823453, max values: 3.250922035035844, median values: 0.0326674345949362, and quantile values: 0.25 -0.438749\n0.50 0.032667\n0.75 0.699386\nName: 1829, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4704178036485779, std values: 1.0861479356809418, min values: -2.7510671817729784, max values: 6.0, median values: -0.4518246673785691, and quantile values: 0.25 -1.346924\n0.50 -0.451825\n0.75 0.310927\nName: 1830, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3909898606735127, std values: 0.8491276114053053, min values: -3.4448847096097555, max values: 2.731414701688915, median values: -0.4917115017811433, and quantile values: 0.25 -0.958341\n0.50 -0.491712\n0.75 0.157439\nName: 1831, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09076745116392933, std values: 0.8658648872597472, min values: -2.521882829270847, max values: 4.0, median values: 0.1936354094206612, and quantile values: 0.25 -0.448891\n0.50 0.193635\n0.75 0.640153\nName: 1832, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.031631079517663446, std values: 1.3158541975894273, min values: -2.643887016977268, max values: 6.0, median values: -0.0630792946949121, and quantile values: 0.25 -1.094536\n0.50 -0.063079\n0.75 1.037990\nName: 1833, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19765228337258645, std values: 0.7833747466644244, min values: -2.6117120822772133, max values: 5.0, median values: 0.2011459069479512, and quantile values: 0.25 -0.317582\n0.50 0.201146\n0.75 0.698893\nName: 1834, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2654663976464031, std values: 1.022646030405522, min values: -3.447534482420193, max values: 3.216771431244405, median values: -0.1744526499423746, and quantile values: 0.25 -0.733651\n0.50 -0.174453\n0.75 0.360069\nName: 1835, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13446300552667695, std values: 0.8406025619940594, min values: -2.64479559868397, max values: 3.20751086257212, median values: -0.121353127863362, and quantile values: 0.25 -0.686990\n0.50 -0.121353\n0.75 0.395250\nName: 1836, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1957836538846927, std values: 1.8206140262175645, min values: -3.0363117572416627, max values: 5.0, median values: -0.2171624585384004, and quantile values: 0.25 -1.967186\n0.50 -0.217162\n0.75 1.304100\nName: 1837, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17671356028488647, std values: 0.8863283591635365, min values: -2.9622221028070275, max values: 6.0, median values: -0.0991661229308433, and quantile values: 0.25 -0.746125\n0.50 -0.099166\n0.75 0.370413\nName: 1838, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07566304099781633, std values: 0.9247113512356477, min values: -2.9278427058120164, max values: 3.867701659180865, median values: -0.1380372012498615, and quantile values: 0.25 -0.785973\n0.50 -0.138037\n0.75 0.569483\nName: 1839, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18493155762883107, std values: 0.8241827974865658, min values: -2.0221093080959105, max values: 4.026668017837955, median values: 0.1142847765124722, and quantile values: 0.25 -0.370833\n0.50 0.114285\n0.75 0.710401\nName: 1840, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25817294141576214, std values: 0.8403816268835186, min values: -3.21990804472754, max values: 5.0, median values: -0.3017198934576705, and quantile values: 0.25 -0.904309\n0.50 -0.301720\n0.75 0.385973\nName: 1841, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2774726405601702, std values: 0.9530727443836818, min values: -2.374446373878101, max values: 4.0, median values: 0.253498418859403, and quantile values: 0.25 -0.462954\n0.50 0.253498\n0.75 1.068162\nName: 1842, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.043462140026616886, std values: 0.8388992558968917, min values: -2.156806272086999, max values: 3.3337116327022187, median values: -0.0911158087821691, and quantile values: 0.25 -0.679319\n0.50 -0.091116\n0.75 0.496197\nName: 1843, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21523567713538844, std values: 0.911362352019066, min values: -2.8282523283494294, max values: 4.0, median values: -0.293257386600006, and quantile values: 0.25 -0.835695\n0.50 -0.293257\n0.75 0.408862\nName: 1844, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34497383359097994, std values: 0.9517545634360512, min values: -2.6660404517971856, max values: 4.0, median values: -0.3311667060313881, and quantile values: 0.25 -0.967396\n0.50 -0.331167\n0.75 0.250595\nName: 1845, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0535289343663159, std values: 0.7891020416610521, min values: -2.1775880058603043, max values: 3.2071942083719924, median values: -0.004112415368516, and quantile values: 0.25 -0.483747\n0.50 -0.004112\n0.75 0.592221\nName: 1846, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10543040758165935, std values: 0.7251763317302156, min values: -2.1339127560970463, max values: 4.0, median values: -0.0860411018539565, and quantile values: 0.25 -0.595584\n0.50 -0.086041\n0.75 0.372922\nName: 1847, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22015726640462277, std values: 1.1037580727412564, min values: -2.9472833478224456, max values: 6.0, median values: 0.3686817780937717, and quantile values: 0.25 -0.388229\n0.50 0.368682\n0.75 0.980120\nName: 1848, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14599034097483962, std values: 0.7718960444637099, min values: -2.475778245535816, max values: 4.0, median values: -0.197538140004072, and quantile values: 0.25 -0.671037\n0.50 -0.197538\n0.75 0.346625\nName: 1849, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02592586426333629, std values: 1.2403564338245485, min values: -2.607565022042742, max values: 4.0, median values: 0.3167191060239055, and quantile values: 0.25 -0.749269\n0.50 0.316719\n0.75 0.963077\nName: 1850, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.004365844999855469, std values: 0.9705270512349506, min values: -2.5743883495350026, max values: 5.0, median values: 0.1089813330622548, and quantile values: 0.25 -0.622815\n0.50 0.108981\n0.75 0.718434\nName: 1851, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2734265886611004, std values: 1.0142899636241303, min values: -2.8246479422601736, max values: 6.0, median values: 0.3639554126674658, and quantile values: 0.25 -0.376289\n0.50 0.363955\n0.75 1.042547\nName: 1852, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5441529218953761, std values: 0.8534980415850958, min values: -2.5759052915632985, max values: 3.8226908388056136, median values: -0.6729921121555579, and quantile values: 0.25 -1.233244\n0.50 -0.672992\n0.75 0.030588\nName: 1853, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2670510247180858, std values: 0.8760452352026787, min values: -2.8282523283494294, max values: 3.528773265847577, median values: 0.2390271877243869, and quantile values: 0.25 -0.307259\n0.50 0.239027\n0.75 0.867932\nName: 1854, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04028084868089933, std values: 1.026668111834271, min values: -2.8451834694312192, max values: 4.243835016543704, median values: -0.0395271819207137, and quantile values: 0.25 -0.773906\n0.50 -0.039527\n0.75 0.796481\nName: 1855, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2907449775988395, std values: 0.8407067977251739, min values: -2.778044916685896, max values: 3.3014869995452325, median values: -0.3179006277429625, and quantile values: 0.25 -0.883733\n0.50 -0.317901\n0.75 0.168792\nName: 1856, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3365030674143946, std values: 0.7843152245270405, min values: -2.264034258932616, max values: 3.147276669305989, median values: 0.4324567319894712, and quantile values: 0.25 -0.207719\n0.50 0.432457\n0.75 0.882737\nName: 1857, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17567201254158482, std values: 0.8867100092881501, min values: -2.643887016977268, max values: 6.0, median values: -0.1914925750639867, and quantile values: 0.25 -0.712471\n0.50 -0.191493\n0.75 0.378921\nName: 1858, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20112948054885227, std values: 1.0479127944156639, min values: -2.9029979285382743, max values: 6.0, median values: -0.0770537615074493, and quantile values: 0.25 -0.857304\n0.50 -0.077054\n0.75 0.552884\nName: 1859, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05254299168631105, std values: 0.8233623855150737, min values: -2.419133598913117, max values: 3.306454397423372, median values: 0.0118647996107752, and quantile values: 0.25 -0.624882\n0.50 0.011865\n0.75 0.486464\nName: 1860, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11250455309298643, std values: 0.8728943296351467, min values: -2.64479559868397, max values: 6.0, median values: 0.1089126054835857, and quantile values: 0.25 -0.475930\n0.50 0.108913\n0.75 0.663055\nName: 1861, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6387883517291894, std values: 0.9662260012543644, min values: -2.815821936576896, max values: 3.247416277295021, median values: 0.7180065615548651, and quantile values: 0.25 -0.035919\n0.50 0.718007\n0.75 1.384728\nName: 1862, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03193196564853779, std values: 0.8388711037591094, min values: -2.160984325879425, max values: 3.1166497049712243, median values: -0.0034974998890121, and quantile values: 0.25 -0.499354\n0.50 -0.003497\n0.75 0.551150\nName: 1863, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12374408520499554, std values: 0.9015932576965446, min values: -2.5156802245814003, max values: 4.0, median values: -0.0652775623999458, and quantile values: 0.25 -0.777674\n0.50 -0.065278\n0.75 0.554181\nName: 1864, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08701192511719397, std values: 0.803533069164254, min values: -2.103263298070576, max values: 3.236860296211547, median values: -0.0997135250531452, and quantile values: 0.25 -0.660300\n0.50 -0.099714\n0.75 0.426320\nName: 1865, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6617757952690977, std values: 1.0971862842766869, min values: -2.6660404517971856, max values: 4.0, median values: 0.8298670946758773, and quantile values: 0.25 -0.077552\n0.50 0.829867\n0.75 1.519386\nName: 1866, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18821127770412782, std values: 0.9505000561986312, min values: -2.6072570508709387, max values: 4.0, median values: -0.3544765637562904, and quantile values: 0.25 -0.940637\n0.50 -0.354477\n0.75 0.464212\nName: 1867, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5704700325731747, std values: 0.9951004061678878, min values: -2.5213149333948146, max values: 4.278004674434932, median values: 0.6054909796855263, and quantile values: 0.25 -0.163873\n0.50 0.605491\n0.75 1.358157\nName: 1868, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5603719365506786, std values: 0.8057601072640417, min values: -2.8998169811239416, max values: 3.405671179043623, median values: -0.7108263886107675, and quantile values: 0.25 -1.160775\n0.50 -0.710826\n0.75 -0.064212\nName: 1869, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22367848321896353, std values: 0.9160236182567636, min values: -2.6072570508709387, max values: 4.0, median values: 0.3209464703085568, and quantile values: 0.25 -0.235443\n0.50 0.320946\n0.75 0.797040\nName: 1870, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33827268147134426, std values: 0.87911942757972, min values: -2.860922438481449, max values: 3.0876051304901218, median values: -0.4070836930174926, and quantile values: 0.25 -0.985566\n0.50 -0.407084\n0.75 0.240372\nName: 1871, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2166230621265921, std values: 0.9439294155123118, min values: -2.73836943861057, max values: 3.627976272701048, median values: -0.304491391812193, and quantile values: 0.25 -0.973718\n0.50 -0.304491\n0.75 0.418161\nName: 1872, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3677687673868446, std values: 1.026745508938575, min values: -2.7211321814067784, max values: 3.4758930087721422, median values: -0.3941764742876555, and quantile values: 0.25 -1.191164\n0.50 -0.394176\n0.75 0.367822\nName: 1873, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07408400104394873, std values: 0.976936804382193, min values: -2.8246479422601736, max values: 5.0, median values: -0.0653973754307736, and quantile values: 0.25 -0.641863\n0.50 -0.065397\n0.75 0.740504\nName: 1874, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4821296287890415, std values: 0.7646894585020445, min values: -1.956819733012804, max values: 3.397048482165858, median values: 0.5400432355370993, and quantile values: 0.25 0.008152\n0.50 0.540043\n0.75 0.964833\nName: 1875, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22067643711495047, std values: 0.9816516164662141, min values: -3.3364384128287203, max values: 3.9905524164385566, median values: 0.1424454156382694, and quantile values: 0.25 -0.386678\n0.50 0.142445\n0.75 0.886789\nName: 1876, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31025175752388945, std values: 0.8417305771881541, min values: -2.0818418477937786, max values: 3.397048482165858, median values: -0.3805213783751031, and quantile values: 0.25 -0.951234\n0.50 -0.380521\n0.75 0.235811\nName: 1877, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.019364465356054805, std values: 0.9432336173911304, min values: -2.226424194672579, max values: 4.0, median values: -0.0612030019551307, and quantile values: 0.25 -0.681143\n0.50 -0.061203\n0.75 0.535154\nName: 1878, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.016937556765426336, std values: 1.1355526337157873, min values: -3.0484008792629496, max values: 5.0, median values: 0.2026741004724361, and quantile values: 0.25 -0.659115\n0.50 0.202674\n0.75 0.760015\nName: 1879, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2810219247924638, std values: 0.7718708445787782, min values: -2.6685266729136536, max values: 6.0, median values: -0.2748889784442227, and quantile values: 0.25 -0.807966\n0.50 -0.274889\n0.75 0.164962\nName: 1880, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35859038787000047, std values: 1.107791716241342, min values: -3.101800431129944, max values: 6.0, median values: -0.3453681445129073, and quantile values: 0.25 -1.172377\n0.50 -0.345368\n0.75 0.389328\nName: 1881, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22577533930270272, std values: 0.8952519568473846, min values: -2.6023368942328267, max values: 3.496479817235339, median values: -0.3625790554756444, and quantile values: 0.25 -0.902197\n0.50 -0.362579\n0.75 0.396051\nName: 1882, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18701929542299905, std values: 1.1481194622091013, min values: -2.6800544037614658, max values: 4.0, median values: -0.0571557011789439, and quantile values: 0.25 -0.964043\n0.50 -0.057156\n0.75 0.626463\nName: 1883, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03034826618248651, std values: 0.9726388389249989, min values: -3.3364384128287203, max values: 3.9905524164385566, median values: 0.0911899716066028, and quantile values: 0.25 -0.497481\n0.50 0.091190\n0.75 0.613174\nName: 1884, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6248762996384718, std values: 1.2790618620440208, min values: -2.7648443048846945, max values: 4.278004674434932, median values: 0.536381216721718, and quantile values: 0.25 -0.352464\n0.50 0.536381\n0.75 1.506289\nName: 1885, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09338423213827732, std values: 0.8257156796119846, min values: -2.510124273981921, max values: 3.0, median values: -0.0577238658019836, and quantile values: 0.25 -0.572265\n0.50 -0.057724\n0.75 0.371121\nName: 1886, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3973738137420913, std values: 0.8796084170582437, min values: -2.58513369695146, max values: 4.0, median values: -0.4984171562253061, and quantile values: 0.25 -1.037518\n0.50 -0.498417\n0.75 0.185262\nName: 1887, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1944681245496983, std values: 0.8062024730981653, min values: -2.7825548156447035, max values: 6.0, median values: -0.170464140990061, and quantile values: 0.25 -0.766593\n0.50 -0.170464\n0.75 0.331865\nName: 1888, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1700759201717587, std values: 1.0307517910522535, min values: -2.769191083399913, max values: 3.2701555622463814, median values: 0.2702775115038924, and quantile values: 0.25 -0.362932\n0.50 0.270278\n0.75 0.840430\nName: 1889, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23967840557942874, std values: 0.8336242756805771, min values: -2.419659473655063, max values: 4.0, median values: -0.2885371943418526, and quantile values: 0.25 -0.836257\n0.50 -0.288537\n0.75 0.255310\nName: 1890, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2042099486605597, std values: 0.986565782312235, min values: -2.8246479422601736, max values: 5.0, median values: 0.3149184730395086, and quantile values: 0.25 -0.445600\n0.50 0.314918\n0.75 0.950628\nName: 1891, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1973540279600583, std values: 1.0721907279565797, min values: -2.4902145713898545, max values: 3.9905524164385566, median values: 0.3260019722186233, and quantile values: 0.25 -0.542231\n0.50 0.326002\n0.75 0.956443\nName: 1892, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.7216738635200273, std values: 1.2699238903957422, min values: -2.944950884974346, max values: 3.5427287984042666, median values: -2.145100844647208, and quantile values: 0.25 -2.473447\n0.50 -2.145101\n0.75 -1.795341\nName: 1893, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27349000453411404, std values: 0.9665451642190428, min values: -2.316755111337023, max values: 5.0, median values: 0.2773197027956243, and quantile values: 0.25 -0.458715\n0.50 0.277320\n0.75 1.011683\nName: 1894, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11052282927886675, std values: 0.9888973371057148, min values: -2.5743883495350026, max values: 5.0, median values: -0.0823529197838821, and quantile values: 0.25 -0.664716\n0.50 -0.082353\n0.75 0.526772\nName: 1895, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3246803694734646, std values: 0.9928813997766758, min values: -2.63315074164461, max values: 6.0, median values: 0.390783959494256, and quantile values: 0.25 -0.199713\n0.50 0.390784\n0.75 0.989906\nName: 1896, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05663632902018865, std values: 1.0584502122234871, min values: -2.1259296353090704, max values: 3.709787027503053, median values: -0.1894688907117937, and quantile values: 0.25 -0.888096\n0.50 -0.189469\n0.75 0.642066\nName: 1897, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13238702313410997, std values: 0.8424352214870059, min values: -2.048935494746508, max values: 3.103622965243153, median values: -0.2047492829977874, and quantile values: 0.25 -0.710366\n0.50 -0.204749\n0.75 0.364890\nName: 1898, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09502175918609757, std values: 1.206743544268654, min values: -2.949186837165601, max values: 4.0, median values: 0.000638131663885, and quantile values: 0.25 -0.750145\n0.50 0.000638\n0.75 0.722406\nName: 1899, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40964281699195476, std values: 0.9495167295884825, min values: -2.6023368942328267, max values: 3.760287110694155, median values: 0.4927447912364965, and quantile values: 0.25 -0.241436\n0.50 0.492745\n0.75 1.023726\nName: 1900, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2483536587340576, std values: 0.971563741030083, min values: -2.8547740449753216, max values: 5.0, median values: -0.1887250442088525, and quantile values: 0.25 -0.844406\n0.50 -0.188725\n0.75 0.413408\nName: 1901, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5940391581607996, std values: 0.9207524885215944, min values: -2.226424194672579, max values: 4.0, median values: 0.6258878787255514, and quantile values: 0.25 -0.058197\n0.50 0.625888\n0.75 1.221100\nName: 1902, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5203200856405241, std values: 0.8516533328501813, min values: -2.1548749249906303, max values: 5.0, median values: 0.5866840044077558, and quantile values: 0.25 -0.036360\n0.50 0.586684\n0.75 1.089437\nName: 1903, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.154086263048122, std values: 0.7934137733676349, min values: -2.2276120832807416, max values: 6.0, median values: -0.154688032532528, and quantile values: 0.25 -0.715159\n0.50 -0.154688\n0.75 0.364168\nName: 1904, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20500162820784648, std values: 0.9116722986389221, min values: -2.542889966859849, max values: 6.0, median values: 0.2159368890634767, and quantile values: 0.25 -0.440478\n0.50 0.215937\n0.75 0.785952\nName: 1905, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15401976548713311, std values: 0.8381158217938507, min values: -2.028171381820091, max values: 3.627976272701048, median values: 0.1914880204064736, and quantile values: 0.25 -0.461789\n0.50 0.191488\n0.75 0.760015\nName: 1906, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04264961262216716, std values: 1.110228525942272, min values: -3.228456465836797, max values: 3.760287110694155, median values: 0.0800883316129541, and quantile values: 0.25 -0.830256\n0.50 0.080088\n0.75 0.939695\nName: 1907, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07446658608712378, std values: 0.7638392905156548, min values: -2.3922473154067863, max values: 5.0, median values: -0.0148666509220149, and quantile values: 0.25 -0.584036\n0.50 -0.014867\n0.75 0.423487\nName: 1908, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08686327905575894, std values: 0.875498276805022, min values: -2.5695487141177, max values: 4.0, median values: 0.1680615883812018, and quantile values: 0.25 -0.417324\n0.50 0.168062\n0.75 0.636188\nName: 1909, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3160653084330322, std values: 1.2021400364832384, min values: -2.6660404517971856, max values: 4.0, median values: 0.571151183927951, and quantile values: 0.25 -0.438567\n0.50 0.571151\n0.75 1.193088\nName: 1910, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21634749715044663, std values: 1.6270603316568804, min values: -2.891990595045606, max values: 6.0, median values: -0.2502049470955693, and quantile values: 0.25 -1.826418\n0.50 -0.250205\n0.75 1.100194\nName: 1911, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30013323029317107, std values: 1.1232888036483784, min values: -2.7542003929097176, max values: 5.0, median values: 0.406262190448275, and quantile values: 0.25 -0.445182\n0.50 0.406262\n0.75 1.188685\nName: 1912, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3508644163429, std values: 0.8378386832136631, min values: -2.579952672199424, max values: 6.0, median values: 0.4323595474013137, and quantile values: 0.25 -0.212213\n0.50 0.432360\n0.75 0.918295\nName: 1913, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6961599629985831, std values: 1.1007644072017855, min values: -2.078275132568711, max values: 3.8226908388056136, median values: 0.6036750530121092, and quantile values: 0.25 -0.107555\n0.50 0.603675\n0.75 1.418018\nName: 1914, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03487691635615772, std values: 0.8838586985910771, min values: -2.9278427058120164, max values: 6.0, median values: -0.0407419124818421, and quantile values: 0.25 -0.536463\n0.50 -0.040742\n0.75 0.520802\nName: 1915, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.019691474222221242, std values: 0.9557011738366079, min values: -2.134449825097116, max values: 5.0, median values: 0.073806608424457, and quantile values: 0.25 -0.754188\n0.50 0.073807\n0.75 0.786311\nName: 1916, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3004039922412144, std values: 0.8496611089115149, min values: -2.0590878109320845, max values: 5.0, median values: 0.2226914323695557, and quantile values: 0.25 -0.319088\n0.50 0.222691\n0.75 0.891328\nName: 1917, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31777123277566155, std values: 0.9264524916838224, min values: -3.062179113294277, max values: 3.434669824302974, median values: -0.3107606640467226, and quantile values: 0.25 -1.101480\n0.50 -0.310761\n0.75 0.355383\nName: 1918, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5184615158202864, std values: 0.8325010790244047, min values: -2.490219427528101, max values: 3.2071942083719924, median values: -0.6482972716627576, and quantile values: 0.25 -1.146967\n0.50 -0.648297\n0.75 0.026687\nName: 1919, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3964799391861414, std values: 1.0062684697580315, min values: -2.7211321814067784, max values: 3.0, median values: -0.2580705624249249, and quantile values: 0.25 -1.018413\n0.50 -0.258071\n0.75 0.245818\nName: 1920, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3809840757451144, std values: 0.917324249980224, min values: -2.264034258932616, max values: 3.3483277116524426, median values: 0.3705608810992125, and quantile values: 0.25 -0.235478\n0.50 0.370561\n0.75 0.982795\nName: 1921, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5469591913157381, std values: 0.851118636775643, min values: -1.9227031615995296, max values: 4.0, median values: 0.5986349309153465, and quantile values: 0.25 -0.045897\n0.50 0.598635\n0.75 1.217967\nName: 1922, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.032053501471014455, std values: 0.9254777763578679, min values: -2.6635706018350787, max values: 3.32433157891547, median values: -0.0839300206275463, and quantile values: 0.25 -0.753594\n0.50 -0.083930\n0.75 0.572027\nName: 1923, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19592161848897566, std values: 0.8166255026571415, min values: -2.1002547423964093, max values: 3.0, median values: -0.2542003189382757, and quantile values: 0.25 -0.761897\n0.50 -0.254200\n0.75 0.322091\nName: 1924, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.008932269146295366, std values: 0.8830961753649491, min values: -2.4902145713898545, max values: 3.670892362631932, median values: 0.0444355307481441, and quantile values: 0.25 -0.548986\n0.50 0.044436\n0.75 0.539413\nName: 1925, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33897604079386867, std values: 0.9290702521452971, min values: -2.634919142586459, max values: 6.0, median values: -0.4291632725869056, and quantile values: 0.25 -1.005418\n0.50 -0.429163\n0.75 0.311852\nName: 1926, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1022629590450415, std values: 1.0577567603930547, min values: -2.8531572940820533, max values: 6.0, median values: 0.2470957763448734, and quantile values: 0.25 -0.524179\n0.50 0.247096\n0.75 0.875583\nName: 1927, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15966972873331436, std values: 0.7662875634417982, min values: -2.5213149333948146, max values: 3.0651860794139534, median values: 0.1779295666691157, and quantile values: 0.25 -0.334572\n0.50 0.177930\n0.75 0.632774\nName: 1928, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3584551290828673, std values: 1.057611353141923, min values: -2.638186942019407, max values: 4.0, median values: -0.3643148125292982, and quantile values: 0.25 -1.059753\n0.50 -0.364315\n0.75 0.394202\nName: 1929, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.032956267185106504, std values: 1.0565930190873232, min values: -2.891990595045606, max values: 6.0, median values: 0.0331889362292624, and quantile values: 0.25 -0.736446\n0.50 0.033189\n0.75 0.666839\nName: 1930, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16720410460007953, std values: 0.8502013511454688, min values: -2.7648443048846945, max values: 3.025409039429847, median values: -0.2957640425617816, and quantile values: 0.25 -0.788239\n0.50 -0.295764\n0.75 0.327358\nName: 1931, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17235653834915224, std values: 0.8709178503633166, min values: -2.8246479422601736, max values: 5.0, median values: -0.0659644403399274, and quantile values: 0.25 -0.733836\n0.50 -0.065964\n0.75 0.445794\nName: 1932, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09313630324988713, std values: 0.7464572278321553, min values: -2.536941606705235, max values: 4.0, median values: 0.1110262359559198, and quantile values: 0.25 -0.407186\n0.50 0.111026\n0.75 0.563656\nName: 1933, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.024146553590078827, std values: 0.8664483084829903, min values: -2.5631847770497496, max values: 4.0, median values: -0.0626929811939131, and quantile values: 0.25 -0.607982\n0.50 -0.062693\n0.75 0.515078\nName: 1934, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12707308086588953, std values: 0.8456522106197502, min values: -2.0854901680147853, max values: 4.0, median values: -0.1861894478913865, and quantile values: 0.25 -0.801138\n0.50 -0.186189\n0.75 0.473601\nName: 1935, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07981056980608058, std values: 0.8627693729282022, min values: -2.7648443048846945, max values: 3.867701659180865, median values: -0.1736224821588646, and quantile values: 0.25 -0.731327\n0.50 -0.173622\n0.75 0.476882\nName: 1936, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0730248065220645, std values: 1.1185282653850683, min values: -2.6685266729136536, max values: 6.0, median values: -0.0658389540829049, and quantile values: 0.25 -0.781630\n0.50 -0.065839\n0.75 0.764091\nName: 1937, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.050467366889349295, std values: 0.9378312647270922, min values: -2.947062251106049, max values: 3.569037956734876, median values: 0.1765167562000767, and quantile values: 0.25 -0.512031\n0.50 0.176517\n0.75 0.713324\nName: 1938, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15175430413266813, std values: 1.022230168202227, min values: -2.580492024304656, max values: 3.258347009006034, median values: 0.1473434865948782, and quantile values: 0.25 -0.640341\n0.50 0.147343\n0.75 0.978029\nName: 1939, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2583018013795777, std values: 0.8659940160092693, min values: -2.142854198138545, max values: 5.0, median values: 0.321987589723803, and quantile values: 0.25 -0.335763\n0.50 0.321988\n0.75 0.836765\nName: 1940, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5244589183678527, std values: 1.00297430574617, min values: -2.439930808627264, max values: 4.0, median values: 0.5720915656710048, and quantile values: 0.25 -0.181596\n0.50 0.572092\n0.75 1.166157\nName: 1941, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19518088309444534, std values: 0.9197049442004911, min values: -2.769191083399913, max values: 3.281452258958016, median values: 0.2006400948175128, and quantile values: 0.25 -0.494487\n0.50 0.200640\n0.75 0.847009\nName: 1942, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2122307240445649, std values: 0.8974705805765155, min values: -2.510124273981921, max values: 3.0, median values: -0.1714538177901736, and quantile values: 0.25 -0.860962\n0.50 -0.171454\n0.75 0.463138\nName: 1943, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3073556070158856, std values: 0.7245276845541077, min values: -2.2262971094910258, max values: 2.883469967826547, median values: 0.3751401440840663, and quantile values: 0.25 -0.166108\n0.50 0.375140\n0.75 0.776259\nName: 1944, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6961452330608442, std values: 0.9553400673437227, min values: -2.9265160609644223, max values: 6.0, median values: -0.8296728125129486, and quantile values: 0.25 -1.379420\n0.50 -0.829673\n0.75 -0.092353\nName: 1945, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.038749022244489964, std values: 0.9597774303918285, min values: -2.083073092108871, max values: 4.278004674434932, median values: 0.0365943788242712, and quantile values: 0.25 -0.735580\n0.50 0.036594\n0.75 0.827413\nName: 1946, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1358690736493294, std values: 1.445138430736947, min values: -2.6660404517971856, max values: 4.0, median values: 0.2517415606809151, and quantile values: 0.25 -0.893501\n0.50 0.251742\n0.75 1.346514\nName: 1947, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.222604604100815, std values: 0.8335023907098585, min values: -2.1103582417935702, max values: 3.247416277295021, median values: -0.1717496304096502, and quantile values: 0.25 -0.851211\n0.50 -0.171750\n0.75 0.332040\nName: 1948, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06593494551544032, std values: 0.8318855003319259, min values: -2.1548749249906303, max values: 5.0, median values: 0.0329705302257693, and quantile values: 0.25 -0.495296\n0.50 0.032971\n0.75 0.564486\nName: 1949, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1181772760904463, std values: 0.8719373264195467, min values: -2.275531026921315, max values: 6.0, median values: -0.1518422976328189, and quantile values: 0.25 -0.806362\n0.50 -0.151842\n0.75 0.488148\nName: 1950, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3221767087391565, std values: 0.929856041579913, min values: -2.062310304625852, max values: 3.2936960268109283, median values: 0.2894982525730781, and quantile values: 0.25 -0.383674\n0.50 0.289498\n0.75 1.024525\nName: 1951, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02057952012826098, std values: 1.1525885314765587, min values: -2.5820330744015787, max values: 4.0, median values: -0.0506940822427813, and quantile values: 0.25 -0.787399\n0.50 -0.050694\n0.75 0.849990\nName: 1952, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.012294030027069964, std values: 0.8337806584427649, min values: -2.1062910125783354, max values: 3.9905524164385566, median values: -0.1105981948910715, and quantile values: 0.25 -0.589663\n0.50 -0.110598\n0.75 0.493833\nName: 1953, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31745096198399647, std values: 0.8597376541834321, min values: -2.72346435408924, max values: 4.0, median values: -0.3101406306517369, and quantile values: 0.25 -0.875953\n0.50 -0.310141\n0.75 0.194647\nName: 1954, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5326506626375206, std values: 1.195082463320551, min values: -2.9029979285382743, max values: 3.0, median values: -0.3183061869100101, and quantile values: 0.25 -1.315196\n0.50 -0.318306\n0.75 0.266165\nName: 1955, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29472579135816374, std values: 0.8254844903053237, min values: -2.662750916816848, max values: 5.0, median values: -0.3862701416393306, and quantile values: 0.25 -0.885240\n0.50 -0.386270\n0.75 0.220124\nName: 1956, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44799555460666196, std values: 0.9557334647309378, min values: -2.7428415536925543, max values: 5.0, median values: -0.5950199573885172, and quantile values: 0.25 -1.125079\n0.50 -0.595020\n0.75 0.173091\nName: 1957, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.017450359816892632, std values: 0.8052972792177088, min values: -2.1062910125783354, max values: 3.163266084685921, median values: -0.0074922080086378, and quantile values: 0.25 -0.492779\n0.50 -0.007492\n0.75 0.508697\nName: 1958, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22156157150169195, std values: 0.754595272825004, min values: -2.1227739687253626, max values: 3.477886732511886, median values: -0.2928836657684357, and quantile values: 0.25 -0.715692\n0.50 -0.292884\n0.75 0.235075\nName: 1959, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01806008044518789, std values: 0.8748398345661088, min values: -2.9898739724800576, max values: 3.045947208515846, median values: -0.0559010693990901, and quantile values: 0.25 -0.603165\n0.50 -0.055901\n0.75 0.580708\nName: 1960, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3711392717912258, std values: 0.8229467716658971, min values: -2.087432639025188, max values: 4.0, median values: -0.4885514309516566, and quantile values: 0.25 -0.967245\n0.50 -0.488551\n0.75 0.113596\nName: 1961, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0795444655387057, std values: 1.0068220683968385, min values: -2.497627580948261, max values: 3.3337116327022187, median values: 0.0553803048046488, and quantile values: 0.25 -0.680726\n0.50 0.055380\n0.75 0.586044\nName: 1962, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42565608430830476, std values: 0.8631983549386875, min values: -2.842043939794492, max values: 3.247416277295021, median values: -0.5320197348661517, and quantile values: 0.25 -1.023794\n0.50 -0.532020\n0.75 0.101424\nName: 1963, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.011583267216494395, std values: 0.9811026509956484, min values: -2.610097161345549, max values: 4.0, median values: 0.1268550137681507, and quantile values: 0.25 -0.495701\n0.50 0.126855\n0.75 0.614372\nName: 1964, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3644355201630655, std values: 0.9021023196671825, min values: -2.673124659932621, max values: 6.0, median values: 0.4316264431905544, and quantile values: 0.25 -0.099664\n0.50 0.431626\n0.75 0.925018\nName: 1965, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24689275567565602, std values: 1.103359002274351, min values: -2.92272757463548, max values: 6.0, median values: -0.0285346001127841, and quantile values: 0.25 -0.833786\n0.50 -0.028535\n0.75 0.544893\nName: 1966, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3075991363009011, std values: 0.9582113737256447, min values: -2.158148574998896, max values: 3.0, median values: -0.3525974575595819, and quantile values: 0.25 -1.076520\n0.50 -0.352597\n0.75 0.349698\nName: 1967, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6092779677972784, std values: 1.0025807246661047, min values: -2.769191083399913, max values: 3.050873041333768, median values: -0.6475392565763867, and quantile values: 0.25 -1.196367\n0.50 -0.647539\n0.75 -0.002789\nName: 1968, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25116598834496134, std values: 0.9367028851125093, min values: -2.169018218085154, max values: 3.405671179043623, median values: -0.3942640948496367, and quantile values: 0.25 -0.985387\n0.50 -0.394264\n0.75 0.351396\nName: 1969, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4667043628334571, std values: 1.0227439032447485, min values: -2.576018450691392, max values: 4.0, median values: 0.4779046326972743, and quantile values: 0.25 -0.100331\n0.50 0.477905\n0.75 1.169207\nName: 1970, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20159911871664918, std values: 0.7330291168007917, min values: -2.475778245535816, max values: 3.0, median values: 0.1331595023926882, and quantile values: 0.25 -0.267935\n0.50 0.133160\n0.75 0.651859\nName: 1971, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08764223177163485, std values: 0.7429898826185097, min values: -2.0131371991989395, max values: 3.141939528112806, median values: -0.0961275622481994, and quantile values: 0.25 -0.588488\n0.50 -0.096128\n0.75 0.369694\nName: 1972, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3394176184330361, std values: 0.8698127157224435, min values: -2.419133598913117, max values: 3.390469008396469, median values: 0.2753066685238278, and quantile values: 0.25 -0.239757\n0.50 0.275307\n0.75 0.879022\nName: 1973, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11793430183475416, std values: 0.8397496785074248, min values: -2.116008317253216, max values: 3.0774992973297404, median values: -0.1099376788196245, and quantile values: 0.25 -0.717414\n0.50 -0.109938\n0.75 0.431181\nName: 1974, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5417739178571258, std values: 0.9033239800912864, min values: -2.1136270387555465, max values: 3.5427287984042666, median values: 0.434300001338912, and quantile values: 0.25 -0.060589\n0.50 0.434300\n0.75 1.096866\nName: 1975, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.015998101048164327, std values: 0.8415739043359683, min values: -2.052706238094415, max values: 4.0, median values: 0.0211780989996556, and quantile values: 0.25 -0.653547\n0.50 0.021178\n0.75 0.552480\nName: 1976, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.030085127841862565, std values: 0.8142358840703512, min values: -2.589966702820638, max values: 6.0, median values: -0.1028199003360392, and quantile values: 0.25 -0.546946\n0.50 -0.102820\n0.75 0.429066\nName: 1977, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1389047781802802, std values: 0.9823338969890357, min values: -1.9441507510762028, max values: 6.0, median values: 0.0324194494940462, and quantile values: 0.25 -0.580077\n0.50 0.032419\n0.75 0.773651\nName: 1978, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.696582830773598, std values: 0.7954391431191674, min values: -2.1932911436770626, max values: 3.0315977762793005, median values: -0.8468520977558454, and quantile values: 0.25 -1.296787\n0.50 -0.846852\n0.75 -0.239538\nName: 1979, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5170370372069146, std values: 0.8145325474567641, min values: -2.4960309093026924, max values: 3.9048392686725855, median values: -0.6596282524854546, and quantile values: 0.25 -1.093766\n0.50 -0.659628\n0.75 -0.098640\nName: 1980, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5340196781104913, std values: 1.0037753241349663, min values: -2.657750824678472, max values: 5.0, median values: -0.6721327644139977, and quantile values: 0.25 -1.376715\n0.50 -0.672133\n0.75 0.169961\nName: 1981, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29180094608784574, std values: 0.9535139466584992, min values: -2.657750824678472, max values: 5.0, median values: -0.3189725763936805, and quantile values: 0.25 -0.981378\n0.50 -0.318973\n0.75 0.338973\nName: 1982, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.2118114324736207, std values: 1.208917481884286, min values: -2.727901130262228, max values: 4.0, median values: -1.7058967455490612, and quantile values: 0.25 -2.140406\n0.50 -1.705897\n0.75 -0.373276\nName: 1983, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16556310971405222, std values: 1.016753453643109, min values: -2.63315074164461, max values: 6.0, median values: 0.3378892586035745, and quantile values: 0.25 -0.333688\n0.50 0.337889\n0.75 0.835192\nName: 1984, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2186601409958482, std values: 0.7946725081894249, min values: -2.1227739687253626, max values: 3.630507857092792, median values: 0.1539726635805556, and quantile values: 0.25 -0.339867\n0.50 0.153973\n0.75 0.724651\nName: 1985, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4526903323598587, std values: 0.9217803989641427, min values: -2.236590475460177, max values: 6.0, median values: -0.6427955270378395, and quantile values: 0.25 -1.157443\n0.50 -0.642796\n0.75 0.095249\nName: 1986, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24882415042957615, std values: 0.9886918012378078, min values: -2.679056533720636, max values: 5.0, median values: 0.3526560692720115, and quantile values: 0.25 -0.319205\n0.50 0.352656\n0.75 0.950032\nName: 1987, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36970313388867404, std values: 1.520745713935467, min values: -2.928515832252388, max values: 5.0, median values: -0.3819192490573133, and quantile values: 0.25 -1.835397\n0.50 -0.381919\n0.75 0.955726\nName: 1988, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17979014473039603, std values: 0.7816339936772516, min values: -2.321510952509234, max values: 3.2936960268109283, median values: -0.254963065042167, and quantile values: 0.25 -0.727698\n0.50 -0.254963\n0.75 0.263763\nName: 1989, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10592650164445258, std values: 0.9897405477136336, min values: -2.608390851963037, max values: 5.0, median values: -0.0037342603844311, and quantile values: 0.25 -0.586586\n0.50 -0.003734\n0.75 0.493793\nName: 1990, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12381151712313164, std values: 0.8429211754760116, min values: -2.724017888297919, max values: 3.306454397423372, median values: -0.1997076206428149, and quantile values: 0.25 -0.651911\n0.50 -0.199708\n0.75 0.406262\nName: 1991, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03840967357062826, std values: 1.2218613984744802, min values: -2.8563982925340614, max values: 5.0, median values: 0.1320267501649839, and quantile values: 0.25 -0.617352\n0.50 0.132027\n0.75 0.872732\nName: 1992, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15009150584846945, std values: 1.149677269572416, min values: -2.662750916816848, max values: 5.0, median values: -0.1421394008614817, and quantile values: 0.25 -1.072543\n0.50 -0.142139\n0.75 0.688636\nName: 1993, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20351121127448382, std values: 1.1138603909784979, min values: -2.6800544037614658, max values: 4.0, median values: 0.2436616737529955, and quantile values: 0.25 -0.473654\n0.50 0.243662\n0.75 0.991644\nName: 1994, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5516661571938294, std values: 0.8232159681334161, min values: -2.7884838087481176, max values: 6.0, median values: 0.6228254183823418, and quantile values: 0.25 0.060162\n0.50 0.622825\n0.75 1.075092\nName: 1995, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49979029623431664, std values: 0.8142003703366653, min values: -2.2152723643263457, max values: 3.0, median values: -0.5533246722136663, and quantile values: 0.25 -1.113839\n0.50 -0.553325\n0.75 0.017406\nName: 1996, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3675541355531844, std values: 0.9292346295015658, min values: -2.855306289371099, max values: 6.0, median values: -0.3784894376101174, and quantile values: 0.25 -0.951884\n0.50 -0.378489\n0.75 0.180263\nName: 1997, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2877906047489105, std values: 1.0043464327626264, min values: -2.916688926075616, max values: 6.0, median values: -0.1959477788071729, and quantile values: 0.25 -0.867658\n0.50 -0.195948\n0.75 0.346334\nName: 1998, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2582130601499793, std values: 0.8873222017354654, min values: -3.002493140275396, max values: 5.0, median values: 0.2153321284751181, and quantile values: 0.25 -0.293401\n0.50 0.215332\n0.75 0.797805\nName: 1999, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11855896490523049, std values: 0.9081704471095394, min values: -2.6404955031131814, max values: 6.0, median values: -0.1939288449216897, and quantile values: 0.25 -0.854286\n0.50 -0.193929\n0.75 0.503589\nName: 2000, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5269220516847568, std values: 1.0577017736329748, min values: -2.4902145713898545, max values: 3.477886732511886, median values: 0.6889660504264907, and quantile values: 0.25 -0.198936\n0.50 0.688966\n0.75 1.333602\nName: 2001, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.036663783069608456, std values: 0.7100209066373175, min values: -2.5213149333948146, max values: 3.867701659180865, median values: -0.040378703451366, and quantile values: 0.25 -0.492496\n0.50 -0.040379\n0.75 0.399926\nName: 2002, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10740942214334596, std values: 0.8917421271220166, min values: -2.1227739687253626, max values: 4.243835016543704, median values: -0.1675309231716599, and quantile values: 0.25 -0.802889\n0.50 -0.167531\n0.75 0.522189\nName: 2003, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28450454239552997, std values: 0.9634451434653639, min values: -2.5743883495350026, max values: 5.0, median values: -0.3268641992887607, and quantile values: 0.25 -0.972933\n0.50 -0.326864\n0.75 0.377620\nName: 2004, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21086141498850128, std values: 1.0271144267228765, min values: -2.87684958111886, max values: 3.784832159836258, median values: 0.2226187493614137, and quantile values: 0.25 -0.441601\n0.50 0.222619\n0.75 0.877550\nName: 2005, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1191251604977012, std values: 0.8645719304918994, min values: -2.693453432157769, max values: 3.5908526919299577, median values: 0.1702685477795614, and quantile values: 0.25 -0.452030\n0.50 0.170269\n0.75 0.719250\nName: 2006, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04108763929472967, std values: 0.7616305374814134, min values: -2.3808324358856225, max values: 3.050873041333768, median values: 0.0411829451041977, and quantile values: 0.25 -0.451886\n0.50 0.041183\n0.75 0.483433\nName: 2007, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0801216359858962, std values: 0.889033147804741, min values: -2.6278943940336483, max values: 4.0, median values: -0.0444355307481439, and quantile values: 0.25 -0.598172\n0.50 -0.044436\n0.75 0.428231\nName: 2008, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5911781594739964, std values: 0.9973235899752482, min values: -2.0437322601529133, max values: 3.9048392686725855, median values: 0.594454290696354, and quantile values: 0.25 -0.155334\n0.50 0.594454\n0.75 1.395286\nName: 2009, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7014783753724115, std values: 1.2093167215452993, min values: -2.5859127503381347, max values: 4.243835016543704, median values: 0.8741695456684816, and quantile values: 0.25 0.049370\n0.50 0.874170\n0.75 1.486629\nName: 2010, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7483524716404519, std values: 1.0092399350018852, min values: -2.4657737907743, max values: 3.1047159712539405, median values: 0.907896433040857, and quantile values: 0.25 0.041538\n0.50 0.907896\n0.75 1.542550\nName: 2011, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13633560956210908, std values: 0.9829495796682667, min values: -2.58513369695146, max values: 3.867701659180865, median values: -0.2408515420177308, and quantile values: 0.25 -0.888709\n0.50 -0.240852\n0.75 0.497909\nName: 2012, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2856189315436792, std values: 0.7725023842315089, min values: -2.710223074556336, max values: 4.0, median values: 0.2754782905486937, and quantile values: 0.25 -0.200191\n0.50 0.275478\n0.75 0.755983\nName: 2013, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38261276081182394, std values: 0.8705376473874661, min values: -2.4657737907743, max values: 3.155170554159904, median values: -0.53501572959382, and quantile values: 0.25 -1.042059\n0.50 -0.535016\n0.75 0.170883\nName: 2014, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3067079180565254, std values: 1.3874039441858335, min values: -2.558791007225312, max values: 3.258347009006034, median values: -0.1744286530948546, and quantile values: 0.25 -1.757716\n0.50 -0.174429\n0.75 0.934705\nName: 2015, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22234776787273222, std values: 0.8019887333821288, min values: -2.5631847770497496, max values: 4.0, median values: -0.3026427098429837, and quantile values: 0.25 -0.787700\n0.50 -0.302643\n0.75 0.224654\nName: 2016, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0905281178275792, std values: 1.154278907227562, min values: -2.769191083399913, max values: 3.0133870328644305, median values: 0.0453728119098157, and quantile values: 0.25 -0.648849\n0.50 0.045373\n0.75 0.652831\nName: 2017, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33671009371008526, std values: 0.8474247273967483, min values: -2.0845218758782083, max values: 4.0, median values: -0.4307705193940902, and quantile values: 0.25 -0.963103\n0.50 -0.430771\n0.75 0.171135\nName: 2018, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21958430274653276, std values: 0.8265933805888521, min values: -2.122310313835986, max values: 5.0, median values: -0.3025273925074159, and quantile values: 0.25 -0.782962\n0.50 -0.302527\n0.75 0.257814\nName: 2019, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28117061484087663, std values: 0.9259909492168089, min values: -2.579952672199424, max values: 6.0, median values: -0.3002608405322637, and quantile values: 0.25 -0.974703\n0.50 -0.300261\n0.75 0.323467\nName: 2020, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25883697535915834, std values: 0.829513378221374, min values: -2.5624611946462936, max values: 5.0, median values: -0.2142921243262627, and quantile values: 0.25 -0.792891\n0.50 -0.214292\n0.75 0.253987\nName: 2021, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3349985225647441, std values: 0.9255462696851693, min values: -2.4536054974529624, max values: 6.0, median values: -0.3987029916115428, and quantile values: 0.25 -1.068392\n0.50 -0.398703\n0.75 0.294494\nName: 2022, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.271706868102365, std values: 0.7979262365503702, min values: -2.264034258932616, max values: 3.191712471143802, median values: 0.3400820083847348, and quantile values: 0.25 -0.262808\n0.50 0.340082\n0.75 0.849733\nName: 2023, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10524939281122304, std values: 0.9441055555575388, min values: -2.419133598913117, max values: 3.0418703198091483, median values: -0.2742508761705211, and quantile values: 0.25 -0.798335\n0.50 -0.274251\n0.75 0.498257\nName: 2024, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14553972628394699, std values: 0.893990652642119, min values: -2.7510671817729784, max values: 6.0, median values: -0.0784050042119148, and quantile values: 0.25 -0.793950\n0.50 -0.078405\n0.75 0.493553\nName: 2025, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22061526980680835, std values: 0.7675892377941829, min values: -2.5631847770497496, max values: 4.0, median values: 0.2481748544827629, and quantile values: 0.25 -0.305036\n0.50 0.248175\n0.75 0.757115\nName: 2026, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2319073902225021, std values: 0.8406428743136138, min values: -2.139311372893009, max values: 6.0, median values: -0.3148027178519941, and quantile values: 0.25 -0.888369\n0.50 -0.314803\n0.75 0.325429\nName: 2027, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05368737206106236, std values: 0.8400831613231678, min values: -2.193081992255863, max values: 6.0, median values: -0.1434748361411086, and quantile values: 0.25 -0.644979\n0.50 -0.143475\n0.75 0.508948\nName: 2028, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.522537713657041, std values: 1.3187587445049536, min values: -2.815821936576896, max values: 3.5908526919299577, median values: -0.1852928563724528, and quantile values: 0.25 -1.932092\n0.50 -0.185293\n0.75 0.469401\nName: 2029, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2638700199951364, std values: 0.9036321956745114, min values: -2.0331762695652107, max values: 3.4758930087721422, median values: 0.3331455859235676, and quantile values: 0.25 -0.394432\n0.50 0.333146\n0.75 0.937122\nName: 2030, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03249905077518135, std values: 0.7372814928129644, min values: -2.226424194672579, max values: 4.0, median values: -0.0784998336083729, and quantile values: 0.25 -0.522839\n0.50 -0.078500\n0.75 0.439476\nName: 2031, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03889905158785289, std values: 1.0688228629568817, min values: -2.226424194672579, max values: 4.0, median values: -0.1336958322679055, and quantile values: 0.25 -0.728955\n0.50 -0.133696\n0.75 0.652853\nName: 2032, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3742683153796034, std values: 0.9106535221956947, min values: -2.7024513197886706, max values: 3.630507857092792, median values: 0.3469470880188562, and quantile values: 0.25 -0.239805\n0.50 0.346947\n0.75 0.942414\nName: 2033, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6274197505946986, std values: 1.0325771417050278, min values: -3.598076523509849, max values: 3.5021977227593246, median values: -0.7200036597333045, and quantile values: 0.25 -1.523466\n0.50 -0.720004\n0.75 0.092923\nName: 2034, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0467822277548293, std values: 1.0969844906505668, min values: -2.679056533720636, max values: 5.0, median values: 0.1967077418153069, and quantile values: 0.25 -0.693288\n0.50 0.196708\n0.75 0.890550\nName: 2035, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0024597274084550815, std values: 0.93477250874683, min values: -3.2372475247926937, max values: 3.528773265847577, median values: 0.0554374809227076, and quantile values: 0.25 -0.627815\n0.50 0.055437\n0.75 0.669657\nName: 2036, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.550883575584784, std values: 1.118860654749601, min values: -2.6466193392086392, max values: 4.0, median values: -0.5500113629802332, and quantile values: 0.25 -1.462294\n0.50 -0.550011\n0.75 0.178825\nName: 2037, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20017756926258864, std values: 0.8530550984819191, min values: -2.841647375415054, max values: 2.975729140892597, median values: -0.1415274112083133, and quantile values: 0.25 -0.737422\n0.50 -0.141527\n0.75 0.350654\nName: 2038, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1457389139248598, std values: 0.888433393507321, min values: -2.4737574649270093, max values: 3.0, median values: -0.2013426255570755, and quantile values: 0.25 -0.780397\n0.50 -0.201343\n0.75 0.443539\nName: 2039, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2526540726457311, std values: 0.8998031430666401, min values: -2.9898739724800576, max values: 3.3337116327022187, median values: 0.2704473920404784, and quantile values: 0.25 -0.408113\n0.50 0.270447\n0.75 0.938369\nName: 2040, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5190013505114452, std values: 1.0829640173109059, min values: -2.3937380876386865, max values: 4.0, median values: 0.6010681395332521, and quantile values: 0.25 -0.306046\n0.50 0.601068\n0.75 1.379135\nName: 2041, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.011029961679043394, std values: 0.7387831954576215, min values: -2.1073045553985543, max values: 3.0, median values: -0.0540311205960342, and quantile values: 0.25 -0.499753\n0.50 -0.054031\n0.75 0.456649\nName: 2042, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.021112255305856156, std values: 0.8597232383876879, min values: -2.783691185534105, max values: 3.1801075704642923, median values: -0.0227856338117592, and quantile values: 0.25 -0.521022\n0.50 -0.022786\n0.75 0.526835\nName: 2043, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16438416316955115, std values: 0.7794642087313371, min values: -2.688157591415518, max values: 5.0, median values: 0.180840110570854, and quantile values: 0.25 -0.346359\n0.50 0.180840\n0.75 0.664804\nName: 2044, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06071438888984538, std values: 1.0616016547195102, min values: -2.673549169958716, max values: 6.0, median values: -0.1496669780278885, and quantile values: 0.25 -0.741077\n0.50 -0.149667\n0.75 0.563259\nName: 2045, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5021782110368135, std values: 0.9212041090309782, min values: -2.919359491767569, max values: 6.0, median values: 0.5546304745544786, and quantile values: 0.25 -0.125759\n0.50 0.554630\n0.75 1.171974\nName: 2046, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.026284253570258122, std values: 1.1029611100470422, min values: -2.8531572940820533, max values: 6.0, median values: 0.2196155423002897, and quantile values: 0.25 -0.590006\n0.50 0.219616\n0.75 0.776140\nName: 2047, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26770417326444856, std values: 0.9850200343261227, min values: -2.6635706018350787, max values: 3.598076523509904, median values: -0.343585558008401, and quantile values: 0.25 -1.067242\n0.50 -0.343586\n0.75 0.391700\nName: 2048, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.009991966078628638, std values: 0.7645713071162645, min values: -2.6635706018350787, max values: 3.0, median values: -0.0343758318052835, and quantile values: 0.25 -0.477472\n0.50 -0.034376\n0.75 0.488700\nName: 2049, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07177132911586105, std values: 0.8706391091441987, min values: -2.947062251106049, max values: 4.243835016543704, median values: -0.0108957221390226, and quantile values: 0.25 -0.501497\n0.50 -0.010896\n0.75 0.422487\nName: 2050, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.042071818432644466, std values: 1.2115070817583937, min values: -2.6270253558526173, max values: 4.0, median values: 0.0254334685269827, and quantile values: 0.25 -0.917395\n0.50 0.025433\n0.75 0.843900\nName: 2051, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3454034458133502, std values: 0.8428664552989565, min values: -2.8843374390620142, max values: 6.0, median values: -0.3385067745138533, and quantile values: 0.25 -0.944111\n0.50 -0.338507\n0.75 0.187058\nName: 2052, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07901980829994372, std values: 0.8491508667798976, min values: -2.6652153608723106, max values: 3.867701659180865, median values: -0.1475940501617542, and quantile values: 0.25 -0.656338\n0.50 -0.147594\n0.75 0.407904\nName: 2053, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40265971528165934, std values: 0.919829036081883, min values: -2.64479559868397, max values: 6.0, median values: -0.5486983470002624, and quantile values: 0.25 -1.097951\n0.50 -0.548698\n0.75 0.188966\nName: 2054, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3955927385376676, std values: 1.061666712158718, min values: -2.955641696055872, max values: 3.2701555622463814, median values: -0.20424247135173, and quantile values: 0.25 -1.116575\n0.50 -0.204242\n0.75 0.314210\nName: 2055, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4471570939205197, std values: 0.9487599068525975, min values: -2.8164291268114208, max values: 2.602647023716372, median values: -0.4368466600224114, and quantile values: 0.25 -1.159659\n0.50 -0.436847\n0.75 0.247976\nName: 2056, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10803813178557174, std values: 1.1968308657991478, min values: -3.0687217584296813, max values: 3.2936960268109283, median values: 0.2366931736656131, and quantile values: 0.25 -0.677120\n0.50 0.236693\n0.75 1.023236\nName: 2057, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.016516779116519605, std values: 0.9076226776484071, min values: -2.1042343257842324, max values: 6.0, median values: -0.0922496761660923, and quantile values: 0.25 -0.712458\n0.50 -0.092250\n0.75 0.614888\nName: 2058, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18995203682753367, std values: 0.7980390423107893, min values: -2.622709665346679, max values: 3.9048392686725855, median values: 0.1858532085704173, and quantile values: 0.25 -0.299271\n0.50 0.185853\n0.75 0.671588\nName: 2059, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.006998016693336435, std values: 0.9393834730619565, min values: -2.4823451998031074, max values: 3.670892362631932, median values: 0.0704487139006941, and quantile values: 0.25 -0.574243\n0.50 0.070449\n0.75 0.575135\nName: 2060, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.47313868672178644, std values: 0.8345938555301725, min values: -2.497627580948261, max values: 3.0533207538164056, median values: -0.514504117306723, and quantile values: 0.25 -0.983523\n0.50 -0.514504\n0.75 0.021816\nName: 2061, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5978777945565638, std values: 1.034766361161136, min values: -2.841647375415054, max values: 5.0, median values: 0.7173652452158665, and quantile values: 0.25 -0.063383\n0.50 0.717365\n0.75 1.388623\nName: 2062, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41451694258724003, std values: 0.911331959941868, min values: -2.0859873849146404, max values: 6.0, median values: 0.4324307809543161, and quantile values: 0.25 -0.203880\n0.50 0.432431\n0.75 1.096004\nName: 2063, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40637400107902566, std values: 0.9889666910631256, min values: -2.730840794324401, max values: 3.528773265847577, median values: 0.4571665490556347, and quantile values: 0.25 -0.266970\n0.50 0.457167\n0.75 1.190204\nName: 2064, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2345691225142599, std values: 0.9459261540097781, min values: -2.745904427753044, max values: 5.0, median values: -0.2317070619090606, and quantile values: 0.25 -0.966793\n0.50 -0.231707\n0.75 0.417634\nName: 2065, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14185203982015204, std values: 1.2025562881863296, min values: -2.887007053971579, max values: 3.110498035652072, median values: 0.0832924734228087, and quantile values: 0.25 -0.722867\n0.50 0.083292\n0.75 0.655389\nName: 2066, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09108057567647262, std values: 0.7603868192305292, min values: -2.4737574649270093, max values: 3.0, median values: -0.1232745483375559, and quantile values: 0.25 -0.600276\n0.50 -0.123275\n0.75 0.371003\nName: 2067, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21341473255892346, std values: 0.9560633276968578, min values: -2.618746139350171, max values: 3.784832159836258, median values: -0.3658500314732426, and quantile values: 0.25 -0.928685\n0.50 -0.365850\n0.75 0.391735\nName: 2068, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28180727177645165, std values: 0.8473042978914938, min values: -2.196181211030292, max values: 2.791182017791096, median values: 0.4068782916397436, and quantile values: 0.25 -0.312836\n0.50 0.406878\n0.75 0.897948\nName: 2069, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18393144312477636, std values: 0.773423954019566, min values: -2.212080438910391, max values: 3.397048482165858, median values: -0.2504000398111703, and quantile values: 0.25 -0.702877\n0.50 -0.250400\n0.75 0.259874\nName: 2070, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.019083094550498846, std values: 0.7973392782973284, min values: -2.590643619371846, max values: 6.0, median values: 0.0068067898482488, and quantile values: 0.25 -0.561718\n0.50 0.006807\n0.75 0.452370\nName: 2071, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5233477662925318, std values: 1.3776213007966778, min values: -2.981718296512785, max values: 5.0, median values: 0.601322983210933, and quantile values: 0.25 -0.228201\n0.50 0.601323\n0.75 1.484885\nName: 2072, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02181886205065161, std values: 0.7700759661456674, min values: -2.2915911556076085, max values: 3.2696814875916886, median values: -0.0357193303346957, and quantile values: 0.25 -0.518123\n0.50 -0.035719\n0.75 0.448929\nName: 2073, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08545258296116572, std values: 1.2948207150953643, min values: -2.8834699678265463, max values: 5.0, median values: 0.1211864653266225, and quantile values: 0.25 -0.859696\n0.50 0.121186\n0.75 0.909039\nName: 2074, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05802420007815382, std values: 0.9680948624132494, min values: -2.64479559868397, max values: 6.0, median values: -0.1003008643214816, and quantile values: 0.25 -0.670534\n0.50 -0.100301\n0.75 0.613292\nName: 2075, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21013145555606305, std values: 0.8140499847218394, min values: -2.605098146828148, max values: 6.0, median values: 0.2494490526912098, and quantile values: 0.25 -0.359405\n0.50 0.249449\n0.75 0.807001\nName: 2076, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08377721965592679, std values: 0.7784140342756208, min values: -2.5832619696830608, max values: 6.0, median values: -0.0092258007493831, and quantile values: 0.25 -0.460167\n0.50 -0.009226\n0.75 0.569594\nName: 2077, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5079561987287062, std values: 0.9990417724858836, min values: -2.643887016977268, max values: 6.0, median values: 0.5810565207418049, and quantile values: 0.25 -0.042065\n0.50 0.581057\n0.75 1.168599\nName: 2078, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38711073200559987, std values: 1.0720988492507308, min values: -2.916688926075616, max values: 6.0, median values: 0.4824773349127689, and quantile values: 0.25 -0.213808\n0.50 0.482477\n0.75 1.185564\nName: 2079, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2517985475401921, std values: 1.1283596211128322, min values: -3.447534482420193, max values: 3.405671179043623, median values: -0.3374138612570352, and quantile values: 0.25 -1.153049\n0.50 -0.337414\n0.75 0.561291\nName: 2080, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17300994690564503, std values: 0.8886880444956802, min values: -2.610097161345549, max values: 4.0, median values: -0.1723365785189839, and quantile values: 0.25 -0.696504\n0.50 -0.172337\n0.75 0.356733\nName: 2081, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2752724135899746, std values: 0.9763282545598289, min values: -2.58513369695146, max values: 4.243835016543704, median values: -0.3215935124689383, and quantile values: 0.25 -0.832084\n0.50 -0.321594\n0.75 0.168062\nName: 2082, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05137236950916666, std values: 0.7261126218376965, min values: -2.45229857681487, max values: 3.030805337148847, median values: 0.0325847726721775, and quantile values: 0.25 -0.431575\n0.50 0.032585\n0.75 0.520348\nName: 2083, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.161014190867829, std values: 0.8599699321373069, min values: -2.4737574649270093, max values: 3.0, median values: 0.2491321071528258, and quantile values: 0.25 -0.448899\n0.50 0.249132\n0.75 0.755102\nName: 2084, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4756204773112105, std values: 0.8876113399580153, min values: -2.6404955031131814, max values: 6.0, median values: -0.6116637165002341, and quantile values: 0.25 -1.145480\n0.50 -0.611664\n0.75 0.094679\nName: 2085, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09512141134418435, std values: 0.9014593061372199, min values: -2.108828940494985, max values: 5.0, median values: 0.1247453984033021, and quantile values: 0.25 -0.534952\n0.50 0.124745\n0.75 0.677921\nName: 2086, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1780301060012187, std values: 0.7364478587739275, min values: -2.5953860446419177, max values: 5.0, median values: -0.216759490267095, and quantile values: 0.25 -0.660930\n0.50 -0.216759\n0.75 0.253816\nName: 2087, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.024049020393849863, std values: 0.8544317006224963, min values: -2.0508981923905893, max values: 6.0, median values: -0.0580316294082414, and quantile values: 0.25 -0.582861\n0.50 -0.058032\n0.75 0.586848\nName: 2088, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04147175237030578, std values: 0.8824266904223409, min values: -3.0687217584296813, max values: 3.397048482165858, median values: 0.0212490184686877, and quantile values: 0.25 -0.561195\n0.50 0.021249\n0.75 0.508074\nName: 2089, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04765368887565226, std values: 0.7751044275881808, min values: -2.109338159609067, max values: 3.312693232344632, median values: -0.0928276700137886, and quantile values: 0.25 -0.567071\n0.50 -0.092828\n0.75 0.411828\nName: 2090, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.015440405194587033, std values: 0.9237427824685885, min values: -2.2837882496430213, max values: 4.0, median values: -0.0793533300466828, and quantile values: 0.25 -0.598205\n0.50 -0.079353\n0.75 0.586493\nName: 2091, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04538442376329186, std values: 0.8227153163719566, min values: -2.620939317041317, max values: 4.0, median values: 0.0532263910356409, and quantile values: 0.25 -0.547226\n0.50 0.053226\n0.75 0.589401\nName: 2092, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3047616402518552, std values: 0.9337562591775254, min values: -2.576018450691392, max values: 4.0, median values: -0.3573195982170366, and quantile values: 0.25 -0.840766\n0.50 -0.357320\n0.75 0.237301\nName: 2093, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08799368524419125, std values: 0.6956079783535023, min values: -2.0397470924909658, max values: 3.2696814875916886, median values: 0.0902585722611451, and quantile values: 0.25 -0.340549\n0.50 0.090259\n0.75 0.502126\nName: 2094, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2652655599727087, std values: 0.7784235462365621, min values: -2.1124050188802093, max values: 5.0, median values: 0.3073147852780285, and quantile values: 0.25 -0.250334\n0.50 0.307315\n0.75 0.775438\nName: 2095, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39172591107718535, std values: 1.0176629344134054, min values: -2.8998169811239416, max values: 3.405671179043623, median values: 0.4574741795483742, and quantile values: 0.25 -0.396170\n0.50 0.457474\n0.75 1.171556\nName: 2096, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5719462783311902, std values: 0.8800960162494387, min values: -2.4657737907743, max values: 3.0, median values: -0.7383259285553524, and quantile values: 0.25 -1.264587\n0.50 -0.738326\n0.75 -0.023353\nName: 2097, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.278306190161572, std values: 1.0097545056882031, min values: -2.679056533720636, max values: 5.0, median values: -0.3677896282402526, and quantile values: 0.25 -0.975234\n0.50 -0.367790\n0.75 0.419078\nName: 2098, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14543032326911431, std values: 0.8619509622820793, min values: -2.028412867843044, max values: 6.0, median values: 0.2274911323100251, and quantile values: 0.25 -0.437566\n0.50 0.227491\n0.75 0.730746\nName: 2099, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2377053637502515, std values: 0.769284160270281, min values: -1.8573538917840136, max values: 3.598076523509904, median values: 0.2508634232244723, and quantile values: 0.25 -0.266022\n0.50 0.250863\n0.75 0.734455\nName: 2100, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14741896992600234, std values: 0.9653866762901402, min values: -2.5695487141177, max values: 4.0, median values: -0.0896779013705017, and quantile values: 0.25 -0.742776\n0.50 -0.089678\n0.75 0.474844\nName: 2101, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2375115774880401, std values: 0.9018138255936787, min values: -2.15141271142167, max values: 3.455472209455805, median values: -0.3979597876543186, and quantile values: 0.25 -0.892599\n0.50 -0.397960\n0.75 0.342773\nName: 2102, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07258762151493243, std values: 1.1415750885916174, min values: -2.949186837165601, max values: 4.0, median values: 0.1120713112183453, and quantile values: 0.25 -0.709732\n0.50 0.112071\n0.75 0.708772\nName: 2103, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47037528440903964, std values: 1.0431042296921815, min values: -2.841647375415054, max values: 3.2266531185902125, median values: 0.5951116496524474, and quantile values: 0.25 -0.100799\n0.50 0.595112\n0.75 1.150376\nName: 2104, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2621969287021369, std values: 0.9450591720160058, min values: -2.622709665346679, max values: 3.3014869995452325, median values: -0.1558679448832331, and quantile values: 0.25 -0.830212\n0.50 -0.155868\n0.75 0.320828\nName: 2105, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0799114172698124, std values: 0.7963726819117118, min values: -2.050447226825624, max values: 6.0, median values: 0.0883423803038021, and quantile values: 0.25 -0.432846\n0.50 0.088342\n0.75 0.552063\nName: 2106, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05733527232697435, std values: 1.1084561673424598, min values: -2.6072570508709387, max values: 4.0, median values: 0.0580316294082412, and quantile values: 0.25 -0.610552\n0.50 0.058032\n0.75 0.770722\nName: 2107, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13939567649416265, std values: 1.0856650067638298, min values: -2.622408470084112, max values: 4.026668017837955, median values: 0.2993865374502789, and quantile values: 0.25 -0.499408\n0.50 0.299387\n0.75 0.917528\nName: 2108, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14275496771351964, std values: 0.8518355759913953, min values: -1.938240697070224, max values: 3.162318759909359, median values: 0.0796378416748805, and quantile values: 0.25 -0.458483\n0.50 0.079638\n0.75 0.687498\nName: 2109, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30442019074418586, std values: 0.99505528452698, min values: -2.87684958111886, max values: 3.598076523509904, median values: -0.3989832810686128, and quantile values: 0.25 -0.940500\n0.50 -0.398983\n0.75 0.261631\nName: 2110, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05835899561585026, std values: 0.8719155758998518, min values: -2.245752867605861, max values: 2.859669575455998, median values: -0.1956586755825593, and quantile values: 0.25 -0.706684\n0.50 -0.195659\n0.75 0.537941\nName: 2111, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.002954034771539164, std values: 0.8589057748614677, min values: -2.7648443048846945, max values: 4.243835016543704, median values: -0.0687596474105111, and quantile values: 0.25 -0.626306\n0.50 -0.068760\n0.75 0.588222\nName: 2112, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.006027346536684808, std values: 0.8480830112003599, min values: -2.6117120822772133, max values: 5.0, median values: -0.0605886500370481, and quantile values: 0.25 -0.564653\n0.50 -0.060589\n0.75 0.506129\nName: 2113, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07667778801105647, std values: 0.8221445257476905, min values: -2.190344926090362, max values: 3.5581019918925243, median values: 0.0460562918162973, and quantile values: 0.25 -0.466145\n0.50 0.046056\n0.75 0.590843\nName: 2114, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05017105931048501, std values: 1.0724074730929374, min values: -2.6115251494731915, max values: 5.0, median values: 0.0094303070539331, and quantile values: 0.25 -0.724723\n0.50 0.009430\n0.75 0.749366\nName: 2115, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11516329210829591, std values: 1.0259720002880346, min values: -2.2325778472988183, max values: 4.0, median values: -0.0761370780136792, and quantile values: 0.25 -0.988364\n0.50 -0.076137\n0.75 0.626641\nName: 2116, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14705137579510058, std values: 0.8119202970354981, min values: -2.605098146828148, max values: 6.0, median values: 0.1007990841819057, and quantile values: 0.25 -0.395068\n0.50 0.100799\n0.75 0.673496\nName: 2117, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30103545657101327, std values: 0.7658096145851203, min values: -2.24919472614257, max values: 4.0, median values: 0.2677917891313038, and quantile values: 0.25 -0.233025\n0.50 0.267792\n0.75 0.822265\nName: 2118, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4841288236512037, std values: 0.8700773245861388, min values: -2.1713395431384868, max values: 3.9048392686725855, median values: 0.4620259899333642, and quantile values: 0.25 -0.053810\n0.50 0.462026\n0.75 1.047730\nName: 2119, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14206578983463716, std values: 0.7646963494161187, min values: -1.997911883973804, max values: 2.975781014280383, median values: -0.2000781415323796, and quantile values: 0.25 -0.655492\n0.50 -0.200078\n0.75 0.327009\nName: 2120, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03533905169234753, std values: 0.9883358876913035, min values: -2.610097161345549, max values: 4.0, median values: 0.085021093964522, and quantile values: 0.25 -0.638314\n0.50 0.085021\n0.75 0.778867\nName: 2121, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2903202854834657, std values: 1.102172846495954, min values: -3.0148736195915964, max values: 3.0651860794139534, median values: -0.214945123038808, and quantile values: 0.25 -0.863165\n0.50 -0.214945\n0.75 0.435521\nName: 2122, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25180852161591494, std values: 0.9612529065751472, min values: -2.7257183488872623, max values: 5.0, median values: 0.2136150369735913, and quantile values: 0.25 -0.495369\n0.50 0.213615\n0.75 0.949893\nName: 2123, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.046673532463963927, std values: 0.9469862626342869, min values: -2.641174291463747, max values: 3.630507857092792, median values: -0.1743773852818549, and quantile values: 0.25 -0.707666\n0.50 -0.174377\n0.75 0.535969\nName: 2124, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1098796554245772, std values: 1.0537108520182343, min values: -2.3808324358856225, max values: 3.9905524164385566, median values: -0.2594336302459955, and quantile values: 0.25 -0.972466\n0.50 -0.259434\n0.75 0.586016\nName: 2125, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12707229211345888, std values: 0.8273451611775817, min values: -2.365699495258936, max values: 5.0, median values: -0.0980510015577582, and quantile values: 0.25 -0.729961\n0.50 -0.098051\n0.75 0.463104\nName: 2126, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04604009775521758, std values: 0.9628224275689927, min values: -2.536941606705235, max values: 4.0, median values: -0.06388021578915, and quantile values: 0.25 -0.709515\n0.50 -0.063880\n0.75 0.639023\nName: 2127, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6210864440644996, std values: 0.9737479677774851, min values: -2.139854677126992, max values: 5.0, median values: 0.7608662132073089, and quantile values: 0.25 -0.088271\n0.50 0.760866\n0.75 1.335791\nName: 2128, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.661722792897024, std values: 0.8505895403471985, min values: -2.0401882913920346, max values: 3.760287110694155, median values: 0.752359722176441, and quantile values: 0.25 0.115702\n0.50 0.752360\n0.75 1.229008\nName: 2129, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03407007727721069, std values: 0.8427008266167587, min values: -2.4117054227788177, max values: 6.0, median values: -0.0561141138220128, and quantile values: 0.25 -0.599653\n0.50 -0.056114\n0.75 0.488676\nName: 2130, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09448745259851142, std values: 0.7969157173675185, min values: -2.8121055320525654, max values: 5.0, median values: -0.0714843067327132, and quantile values: 0.25 -0.633438\n0.50 -0.071484\n0.75 0.394324\nName: 2131, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.058675042629814066, std values: 1.0660025871929988, min values: -3.24173864501462, max values: 3.8226908388056136, median values: -0.008390347528162, and quantile values: 0.25 -0.856009\n0.50 -0.008390\n0.75 0.781518\nName: 2132, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2505501654949424, std values: 0.8328810961150381, min values: -2.6635706018350787, max values: 3.103622965243153, median values: 0.270743301381236, and quantile values: 0.25 -0.312497\n0.50 0.270743\n0.75 0.818856\nName: 2133, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.308941133084441, std values: 1.0101746429560867, min values: -2.278053076431408, max values: 3.721862465295849, median values: -0.3657742215465763, and quantile values: 0.25 -1.191068\n0.50 -0.365774\n0.75 0.424296\nName: 2134, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.040292311432888896, std values: 1.0383369042339938, min values: -2.662750916816848, max values: 5.0, median values: 0.0650170305655658, and quantile values: 0.25 -0.629630\n0.50 0.065017\n0.75 0.711100\nName: 2135, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11179429509363174, std values: 0.9896159018306675, min values: -2.673549169958716, max values: 6.0, median values: -0.0445182304448816, and quantile values: 0.25 -0.790294\n0.50 -0.044518\n0.75 0.591893\nName: 2136, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09422696613543748, std values: 0.9718997123397284, min values: -2.634919142586459, max values: 6.0, median values: 0.1732049467363531, and quantile values: 0.25 -0.555177\n0.50 0.173205\n0.75 0.818650\nName: 2137, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18680426830327754, std values: 1.019031899530416, min values: -2.6820581866633817, max values: 3.721862465295849, median values: -0.040686788186022, and quantile values: 0.25 -0.749206\n0.50 -0.040687\n0.75 0.479016\nName: 2138, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17225021750533587, std values: 0.9103477527682801, min values: -2.45229857681487, max values: 3.0876051304901218, median values: 0.1107884328579877, and quantile values: 0.25 -0.512031\n0.50 0.110788\n0.75 0.784924\nName: 2139, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07664999397707223, std values: 0.8101882671515833, min values: -2.2038853164231766, max values: 3.036311757241655, median values: -0.0172067682896022, and quantile values: 0.25 -0.655662\n0.50 -0.017207\n0.75 0.472333\nName: 2140, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05700230463975582, std values: 1.1001623367523077, min values: -2.6320986139293034, max values: 3.2701555622463814, median values: 0.2016609569122726, and quantile values: 0.25 -0.583710\n0.50 0.201661\n0.75 0.755291\nName: 2141, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5084366806197984, std values: 0.8686440893053089, min values: -2.1831252502065794, max values: 3.050873041333768, median values: 0.5595512838683627, and quantile values: 0.25 -0.100356\n0.50 0.559551\n0.75 1.188015\nName: 2142, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2666934431492845, std values: 1.0519711486520975, min values: -3.0687217584296813, max values: 3.867701659180865, median values: 0.3058780172242571, and quantile values: 0.25 -0.285762\n0.50 0.305878\n0.75 0.958664\nName: 2143, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5253261148253586, std values: 1.0915574654812301, min values: -2.9090251609554527, max values: 6.0, median values: -0.4740773402866211, and quantile values: 0.25 -1.367850\n0.50 -0.474077\n0.75 0.278454\nName: 2144, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0833912813809639, std values: 0.8509027747324539, min values: -3.074005993202373, max values: 2.928515832252385, median values: 0.1162595170591592, and quantile values: 0.25 -0.359140\n0.50 0.116260\n0.75 0.591863\nName: 2145, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49690807570151174, std values: 1.0836084600886338, min values: -2.769191083399913, max values: 3.721862465295849, median values: -0.4206528969448907, and quantile values: 0.25 -1.068733\n0.50 -0.420653\n0.75 0.171214\nName: 2146, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.103506873715184, std values: 0.9059309971939881, min values: -1.946974117229094, max values: 3.867701659180865, median values: 0.0686175054573748, and quantile values: 0.25 -0.628989\n0.50 0.068618\n0.75 0.751305\nName: 2147, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19479701386846277, std values: 0.8873862212411127, min values: -2.486556664247513, max values: 3.5021977227593246, median values: -0.1694862399953844, and quantile values: 0.25 -0.759794\n0.50 -0.169486\n0.75 0.353799\nName: 2148, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28097720309649143, std values: 0.813752875877044, min values: -2.5569229852416258, max values: 4.0, median values: -0.3504296736003234, and quantile values: 0.25 -0.825406\n0.50 -0.350430\n0.75 0.188376\nName: 2149, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23250291027216471, std values: 0.849888098050973, min values: -2.5961021427111413, max values: 3.362228250221886, median values: 0.3196391075552117, and quantile values: 0.25 -0.356615\n0.50 0.319639\n0.75 0.834344\nName: 2150, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.08303851708339, std values: 1.3230658667651176, min values: -2.727901130262228, max values: 4.0, median values: -1.8074177675587344, and quantile values: 0.25 -2.160984\n0.50 -1.807418\n0.75 0.161892\nName: 2151, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4544745700910424, std values: 0.8445531997021396, min values: -2.3184884946917497, max values: 6.0, median values: 0.3902457632036853, and quantile values: 0.25 -0.067909\n0.50 0.390246\n0.75 0.984850\nName: 2152, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1602112865790218, std values: 1.024642982894566, min values: -2.769191083399913, max values: 4.243835016543704, median values: -0.1126910342179267, and quantile values: 0.25 -0.788207\n0.50 -0.112691\n0.75 0.477253\nName: 2153, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6673468649351907, std values: 0.8726279999634452, min values: -2.841647375415054, max values: 5.0, median values: -0.7794664530637248, and quantile values: 0.25 -1.367007\n0.50 -0.779466\n0.75 -0.120901\nName: 2154, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09570250557970764, std values: 1.0325580124364409, min values: -2.7428415536925543, max values: 5.0, median values: -0.1163401169285948, and quantile values: 0.25 -0.770836\n0.50 -0.116340\n0.75 0.627614\nName: 2155, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22224417961284162, std values: 0.9120364495451841, min values: -2.419659473655063, max values: 4.0, median values: -0.3200448916929385, and quantile values: 0.25 -0.954313\n0.50 -0.320045\n0.75 0.371210\nName: 2156, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.1369074964293517, std values: 1.203324362005955, min values: -2.727901130262228, max values: 4.0, median values: -1.6942657901348734, and quantile values: 0.25 -2.140874\n0.50 -1.694266\n0.75 -0.073016\nName: 2157, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02821007194554778, std values: 0.8017286159342343, min values: -2.156806272086999, max values: 3.8226908388056136, median values: -0.0896711656952531, and quantile values: 0.25 -0.576378\n0.50 -0.089671\n0.75 0.461106\nName: 2158, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07876951797192183, std values: 0.7375097327603208, min values: -2.3922473154067863, max values: 5.0, median values: -0.0508319147368235, and quantile values: 0.25 -0.596131\n0.50 -0.050832\n0.75 0.426139\nName: 2159, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0028441248083197, std values: 1.3175111172768088, min values: -2.727901130262228, max values: 4.0, median values: -1.60946440640338, and quantile values: 0.25 -2.140406\n0.50 -1.609464\n0.75 0.104260\nName: 2160, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6520205510697437, std values: 1.1661993975061797, min values: -2.623568901859613, max values: 4.0, median values: -0.6982253814285162, and quantile values: 0.25 -1.692481\n0.50 -0.698225\n0.75 0.181596\nName: 2161, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7996975082046612, std values: 0.9856455785434652, min values: -1.940410205930981, max values: 5.0, median values: 0.8586175956652862, and quantile values: 0.25 0.089070\n0.50 0.858618\n0.75 1.551338\nName: 2162, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16006636056732482, std values: 0.8399084265737211, min values: -2.1227739687253626, max values: 3.0, median values: 0.0949166907455115, and quantile values: 0.25 -0.367771\n0.50 0.094917\n0.75 0.676219\nName: 2163, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6657874040635149, std values: 0.8788401247645518, min values: -2.2295347221767527, max values: 5.0, median values: 0.6965973732222356, and quantile values: 0.25 0.112432\n0.50 0.696597\n0.75 1.215886\nName: 2164, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15925476171779956, std values: 0.7886876292789536, min values: -2.0025945010683035, max values: 3.784832159836258, median values: 0.1347155992853987, and quantile values: 0.25 -0.370177\n0.50 0.134716\n0.75 0.662781\nName: 2165, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05413389989800859, std values: 0.8202944582140995, min values: -2.9898739724800576, max values: 3.0774992973297404, median values: -0.0225015174466374, and quantile values: 0.25 -0.551838\n0.50 -0.022502\n0.75 0.622658\nName: 2166, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5331716557488427, std values: 0.905395044228389, min values: -2.673549169958716, max values: 6.0, median values: -0.6015014555205885, and quantile values: 0.25 -1.087597\n0.50 -0.601501\n0.75 -0.030711\nName: 2167, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2843919735999211, std values: 1.0611441810492515, min values: -2.56026492390943, max values: 4.0, median values: 0.30293213757281, and quantile values: 0.25 -0.557974\n0.50 0.302932\n0.75 1.033657\nName: 2168, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5209012644700938, std values: 1.100505002818946, min values: -3.228456465836797, max values: 3.1175233493066874, median values: -0.4093707067951274, and quantile values: 0.25 -1.326867\n0.50 -0.409371\n0.75 0.239124\nName: 2169, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34616960396040813, std values: 0.9098948631310175, min values: -2.732564679617164, max values: 3.405671179043623, median values: -0.4810174962005377, and quantile values: 0.25 -1.079421\n0.50 -0.481017\n0.75 0.263665\nName: 2170, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28353092889065434, std values: 0.8681247577879718, min values: -2.11291809854392, max values: 4.0, median values: -0.4052356975772715, and quantile values: 0.25 -0.945071\n0.50 -0.405236\n0.75 0.276480\nName: 2171, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15817017069870185, std values: 0.9673578640342537, min values: -2.2821823594382864, max values: 3.163266084685921, median values: 0.1915166469524522, and quantile values: 0.25 -0.597480\n0.50 0.191517\n0.75 0.931759\nName: 2172, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4499334816477143, std values: 0.8051430946399908, min values: -2.0141403968073863, max values: 6.0, median values: 0.5310161284383036, and quantile values: 0.25 -0.050102\n0.50 0.531016\n0.75 0.966630\nName: 2173, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23931082743809576, std values: 0.9777265561637221, min values: -2.93129584560762, max values: 6.0, median values: 0.3651683834412967, and quantile values: 0.25 -0.334513\n0.50 0.365168\n0.75 0.910544\nName: 2174, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22143071581434898, std values: 0.8657617292645513, min values: -2.482931728382393, max values: 3.236860296211547, median values: 0.1868339654659929, and quantile values: 0.25 -0.370630\n0.50 0.186834\n0.75 0.810491\nName: 2175, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11807490553742302, std values: 0.8582767677622677, min values: -2.148081053432388, max values: 3.528773265847577, median values: 0.1383235359074493, and quantile values: 0.25 -0.513561\n0.50 0.138324\n0.75 0.739914\nName: 2176, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4138846718251674, std values: 0.9751182466486419, min values: -2.801183634509044, max values: 5.0, median values: -0.51526718295413, and quantile values: 0.25 -1.236689\n0.50 -0.515267\n0.75 0.281080\nName: 2177, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.033444788160094066, std values: 0.9720722943863199, min values: -2.8282523283494294, max values: 3.709787027503053, median values: -0.0066886146355353, and quantile values: 0.25 -0.628117\n0.50 -0.006689\n0.75 0.543052\nName: 2178, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1123410830822651, std values: 0.8082417384287982, min values: -2.5689076212724418, max values: 5.0, median values: -0.1999657584625903, and quantile values: 0.25 -0.737386\n0.50 -0.199966\n0.75 0.454816\nName: 2179, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03875099379532726, std values: 1.0736024687155354, min values: -2.657750824678472, max values: 5.0, median values: 0.193515001984747, and quantile values: 0.25 -0.583212\n0.50 0.193515\n0.75 0.824748\nName: 2180, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07794517102795165, std values: 0.8029972363560424, min values: -2.040629887786797, max values: 4.243835016543704, median values: 0.0657038967855834, and quantile values: 0.25 -0.434768\n0.50 0.065704\n0.75 0.560711\nName: 2181, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.48279576493713766, std values: 0.8616126226279616, min values: -2.090799501270592, max values: 3.721862465295849, median values: 0.57426610972517, and quantile values: 0.25 -0.114808\n0.50 0.574266\n0.75 1.123363\nName: 2182, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22114402438130287, std values: 0.9858286173112151, min values: -3.05087304133376, max values: 5.0, median values: -0.1059765386094127, and quantile values: 0.25 -0.700398\n0.50 -0.105977\n0.75 0.396885\nName: 2183, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8692247400965629, std values: 0.8207495277870087, min values: -2.3922473154067863, max values: 5.0, median values: -1.0633371304231114, and quantile values: 0.25 -1.487961\n0.50 -1.063337\n0.75 -0.424481\nName: 2184, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6946191195576696, std values: 1.0451091150270966, min values: -2.2837882496430213, max values: 4.0, median values: 0.8379772032871952, and quantile values: 0.25 -0.019405\n0.50 0.837977\n0.75 1.460450\nName: 2185, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2682249343769883, std values: 0.9546135556072336, min values: -2.6603025395856053, max values: 5.0, median values: 0.3914082495433015, and quantile values: 0.25 -0.310870\n0.50 0.391408\n0.75 0.913622\nName: 2186, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19950789411075584, std values: 0.8480653350611974, min values: -2.7884838087481176, max values: 6.0, median values: 0.2190829228429638, and quantile values: 0.25 -0.453339\n0.50 0.219083\n0.75 0.867290\nName: 2187, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3685495690715052, std values: 1.086062827578494, min values: -2.788272971802125, max values: 6.0, median values: -0.4285527512973999, and quantile values: 0.25 -1.233598\n0.50 -0.428553\n0.75 0.358884\nName: 2188, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08149556330175733, std values: 0.8803821285181117, min values: -2.086946282658587, max values: 3.5581019918925243, median values: -0.1596601948112967, and quantile values: 0.25 -0.793308\n0.50 -0.159660\n0.75 0.549747\nName: 2189, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7543364041303104, std values: 0.9844891945502489, min values: -2.6466193392086392, max values: 4.0, median values: 0.9370428021377548, and quantile values: 0.25 0.255993\n0.50 0.937043\n0.75 1.445416\nName: 2190, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.387570935885817, std values: 0.8722119692929201, min values: -2.0859873849146404, max values: 3.216771431244405, median values: 0.4739260728887866, and quantile values: 0.25 -0.202312\n0.50 0.473926\n0.75 0.950218\nName: 2191, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17927634243079402, std values: 0.860174740025445, min values: -2.0683523803658423, max values: 3.1227871431249503, median values: -0.2886318664039629, and quantile values: 0.25 -0.819055\n0.50 -0.288632\n0.75 0.366111\nName: 2192, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29818658340802784, std values: 0.8915442894491102, min values: -2.2065783767301927, max values: 6.0, median values: -0.3772649613607886, and quantile values: 0.25 -1.017119\n0.50 -0.377265\n0.75 0.311158\nName: 2193, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07358349862337009, std values: 0.8836616670500114, min values: -2.643887016977268, max values: 6.0, median values: 0.1226865499072854, and quantile values: 0.25 -0.413537\n0.50 0.122687\n0.75 0.617258\nName: 2194, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37532446763166016, std values: 0.9114692175552072, min values: -2.1355258137915776, max values: 6.0, median values: 0.4413880349358264, and quantile values: 0.25 -0.263798\n0.50 0.441388\n0.75 1.017757\nName: 2195, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.018426742346532934, std values: 1.0070211101257502, min values: -2.737201088051888, max values: 3.0, median values: 0.1172828635693278, and quantile values: 0.25 -0.499033\n0.50 0.117283\n0.75 0.616918\nName: 2196, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4618539484792176, std values: 1.0789430245371707, min values: -2.518081409078396, max values: 3.5581019918925243, median values: -0.5967561736221698, and quantile values: 0.25 -1.330061\n0.50 -0.596756\n0.75 0.271562\nName: 2197, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4178293420576746, std values: 0.8502734195205259, min values: -2.4737574649270093, max values: 3.197902420311553, median values: 0.4718010854237804, and quantile values: 0.25 -0.172149\n0.50 0.471801\n0.75 1.052940\nName: 2198, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15025545285644964, std values: 0.7960459917955182, min values: -2.4657737907743, max values: 3.096891534584617, median values: -0.2478889467450865, and quantile values: 0.25 -0.691389\n0.50 -0.247889\n0.75 0.331740\nName: 2199, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6579289071181905, std values: 0.7974232169833758, min values: -1.9753260575960627, max values: 4.0, median values: 0.7048119533942352, and quantile values: 0.25 0.164622\n0.50 0.704812\n0.75 1.179285\nName: 2200, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1157635748451441, std values: 0.8454807945088612, min values: -2.0956605259270824, max values: 6.0, median values: -0.1256875509295044, and quantile values: 0.25 -0.743363\n0.50 -0.125688\n0.75 0.464058\nName: 2201, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7562543046239364, std values: 0.9534407694984557, min values: -1.9483481071088824, max values: 3.5427287984042666, median values: 0.8821472019633425, and quantile values: 0.25 0.051215\n0.50 0.882147\n0.75 1.523290\nName: 2202, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18289366461034953, std values: 0.730037863421172, min values: -2.264034258932616, max values: 3.0, median values: -0.2643499091031548, and quantile values: 0.25 -0.658626\n0.50 -0.264350\n0.75 0.211729\nName: 2203, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1045283089354651, std values: 0.7328269434408898, min values: -2.525881048269423, max values: 4.026668017837955, median values: 0.1186971792668134, and quantile values: 0.25 -0.393998\n0.50 0.118697\n0.75 0.546287\nName: 2204, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09585974049734959, std values: 0.8770254554249707, min values: -2.39180940730784, max values: 4.0, median values: 0.106779710345226, and quantile values: 0.25 -0.503428\n0.50 0.106780\n0.75 0.654093\nName: 2205, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25108232768177535, std values: 0.7654819388268633, min values: -2.0797094986253195, max values: 4.0, median values: -0.3371364211209274, and quantile values: 0.25 -0.793233\n0.50 -0.337136\n0.75 0.227918\nName: 2206, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07527551638802624, std values: 0.8235296362732283, min values: -2.507084845405409, max values: 3.3760121766849016, median values: 0.0058383675366274, and quantile values: 0.25 -0.501407\n0.50 0.005838\n0.75 0.584109\nName: 2207, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08629597914860473, std values: 1.292204090974339, min values: -2.642042398333877, max values: 4.278004674434932, median values: 0.2819773372733133, and quantile values: 0.25 -0.613192\n0.50 0.281977\n0.75 0.971291\nName: 2208, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32189522183268293, std values: 0.9773374585643266, min values: -2.634919142586459, max values: 6.0, median values: 0.4450777689181068, and quantile values: 0.25 -0.218550\n0.50 0.445078\n0.75 0.973331\nName: 2209, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3069418944987843, std values: 0.7804721546747303, min values: -2.2276120832807416, max values: 6.0, median values: -0.3532715654458892, and quantile values: 0.25 -0.828711\n0.50 -0.353272\n0.75 0.147316\nName: 2210, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8155676554645405, std values: 0.9765671043684289, min values: -2.4705236352348297, max values: 3.9048392686725855, median values: 0.8822834120857728, and quantile values: 0.25 0.134827\n0.50 0.882283\n0.75 1.582638\nName: 2211, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8475194929009533, std values: 0.8868845955513109, min values: -2.034483421188461, max values: 3.2936960268109283, median values: 0.9292312811425626, and quantile values: 0.25 0.227758\n0.50 0.929231\n0.75 1.534475\nName: 2212, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06539281666035385, std values: 0.8244536678080092, min values: -2.1227739687253626, max values: 3.3636961113187773, median values: 0.0163590815961055, and quantile values: 0.25 -0.551293\n0.50 0.016359\n0.75 0.622786\nName: 2213, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.005728219158201201, std values: 0.9504657904782724, min values: -2.6278943940336483, max values: 4.278004674434932, median values: 0.0193815070142049, and quantile values: 0.25 -0.615021\n0.50 0.019382\n0.75 0.555833\nName: 2214, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12179082354016958, std values: 0.771868903776015, min values: -2.062310304625852, max values: 6.0, median values: -0.1090764346541095, and quantile values: 0.25 -0.675840\n0.50 -0.109076\n0.75 0.375255\nName: 2215, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07948713656597794, std values: 0.913672846578112, min values: -2.5399045531878324, max values: 4.0, median values: 0.0070195054717922, and quantile values: 0.25 -0.721003\n0.50 0.007020\n0.75 0.589893\nName: 2216, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7198716751914738, std values: 1.2507239839040558, min values: -2.87684958111886, max values: 3.5581019918925243, median values: 0.936315317581049, and quantile values: 0.25 -0.114594\n0.50 0.936315\n0.75 1.676564\nName: 2217, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11652165144677797, std values: 0.8265302381547952, min values: -2.5832619696830608, max values: 6.0, median values: 0.0671961616974407, and quantile values: 0.25 -0.460002\n0.50 0.067196\n0.75 0.682597\nName: 2218, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.172069792761785, std values: 0.9504632569365374, min values: -2.388544215577277, max values: 4.0, median values: -0.1865842088610082, and quantile values: 0.25 -0.977407\n0.50 -0.186584\n0.75 0.492216\nName: 2219, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35111958615090727, std values: 0.9595467284221564, min values: -3.074005993202373, max values: 3.319774799707247, median values: -0.3874418029152898, and quantile values: 0.25 -1.093133\n0.50 -0.387442\n0.75 0.324251\nName: 2220, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3643044330587423, std values: 0.8574249438153072, min values: -2.9622221028070275, max values: 6.0, median values: -0.4793730878570602, and quantile values: 0.25 -0.954964\n0.50 -0.479373\n0.75 0.179804\nName: 2221, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11297721602215119, std values: 0.7871651873813084, min values: -2.3771558481240653, max values: 4.0, median values: 0.0446131046364639, and quantile values: 0.25 -0.423306\n0.50 0.044613\n0.75 0.625301\nName: 2222, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.024818387647628292, std values: 0.9004991161314504, min values: -2.801183634509044, max values: 5.0, median values: 0.0659493507485487, and quantile values: 0.25 -0.475506\n0.50 0.065949\n0.75 0.587588\nName: 2223, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32861933441931707, std values: 0.7961660288491892, min values: -2.476285024008804, max values: 3.0, median values: -0.3164954627258132, and quantile values: 0.25 -0.916459\n0.50 -0.316495\n0.75 0.192245\nName: 2224, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07058368593152733, std values: 0.7721548952729853, min values: -2.4737574649270093, max values: 3.215720519334646, median values: -0.1432884930832161, and quantile values: 0.25 -0.592539\n0.50 -0.143288\n0.75 0.395515\nName: 2225, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09519352805073039, std values: 0.9477567399241388, min values: -2.536941606705235, max values: 4.0, median values: 0.0970536178245263, and quantile values: 0.25 -0.629630\n0.50 0.097054\n0.75 0.793247\nName: 2226, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5589584069397208, std values: 0.8192123178194513, min values: -2.1002547423964093, max values: 3.247416277295021, median values: 0.6223574120062564, and quantile values: 0.25 0.007739\n0.50 0.622357\n0.75 1.162307\nName: 2227, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.049422879964509406, std values: 0.8866048937514831, min values: -2.511576111725611, max values: 4.0, median values: 0.0246226336593034, and quantile values: 0.25 -0.522975\n0.50 0.024623\n0.75 0.585115\nName: 2228, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18019122166418303, std values: 0.9584136903093173, min values: -2.981718296512785, max values: 5.0, median values: -0.25130013619265, and quantile values: 0.25 -0.825384\n0.50 -0.251300\n0.75 0.398625\nName: 2229, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10674695900904164, std values: 0.9971553146752741, min values: -2.855306289371099, max values: 6.0, median values: -0.0521140274059214, and quantile values: 0.25 -0.727626\n0.50 -0.052114\n0.75 0.523381\nName: 2230, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22122544059987348, std values: 0.9709686849308634, min values: -2.5445249319512966, max values: 4.243835016543704, median values: 0.1974939671667047, and quantile values: 0.25 -0.512211\n0.50 0.197494\n0.75 0.905864\nName: 2231, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1354201450100782, std values: 0.8627863037942541, min values: -2.919359491767569, max values: 5.0, median values: -0.1430497133546208, and quantile values: 0.25 -0.657217\n0.50 -0.143050\n0.75 0.428281\nName: 2232, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5216261886617053, std values: 0.8884929404885527, min values: -2.63315074164461, max values: 6.0, median values: -0.6118629547232316, and quantile values: 0.25 -1.159497\n0.50 -0.611863\n0.75 0.053066\nName: 2233, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05991601428365953, std values: 1.053625253205309, min values: -2.673124659932621, max values: 6.0, median values: -0.1510294573290579, and quantile values: 0.25 -0.816974\n0.50 -0.151029\n0.75 0.609869\nName: 2234, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17118167322314284, std values: 0.9331012272446348, min values: -2.641174291463747, max values: 6.0, median values: 0.2527662998395689, and quantile values: 0.25 -0.380283\n0.50 0.252766\n0.75 0.774176\nName: 2235, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18184335695292506, std values: 0.9663471595579777, min values: -2.475778245535816, max values: 3.627976272701048, median values: 0.0322194031586558, and quantile values: 0.25 -0.506838\n0.50 0.032219\n0.75 0.758281\nName: 2236, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16142052315361, std values: 0.9434789205867924, min values: -2.710223074556336, max values: 4.0, median values: 0.2869957440334489, and quantile values: 0.25 -0.318658\n0.50 0.286996\n0.75 0.759763\nName: 2237, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8968281976466241, std values: 1.1198873294717198, min values: -3.045947208515832, max values: 6.0, median values: -0.889351264992959, and quantile values: 0.25 -1.833060\n0.50 -0.889351\n0.75 -0.136606\nName: 2238, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.005970099318334678, std values: 0.8907937808855304, min values: -2.4105024411864138, max values: 3.415255285860171, median values: 0.0286489379216456, and quantile values: 0.25 -0.559133\n0.50 0.028649\n0.75 0.548181\nName: 2239, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11007990323397937, std values: 0.7855703545463979, min values: -2.0060840029627203, max values: 6.0, median values: 0.0744701957626549, and quantile values: 0.25 -0.398166\n0.50 0.074470\n0.75 0.611099\nName: 2240, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47525310444971036, std values: 0.8121826423845552, min values: -1.9946800637949191, max values: 3.867701659180865, median values: 0.5017649851244121, and quantile values: 0.25 -0.079828\n0.50 0.501765\n0.75 1.022848\nName: 2241, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19597813809454867, std values: 0.9287979123541543, min values: -2.132302906574053, max values: 4.0, median values: 0.2152736860158911, and quantile values: 0.25 -0.459004\n0.50 0.215274\n0.75 0.821073\nName: 2242, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15177801543009306, std values: 0.9663621342236856, min values: -2.6635706018350787, max values: 3.155170554159904, median values: 0.1140230975196876, and quantile values: 0.25 -0.601465\n0.50 0.114023\n0.75 0.853810\nName: 2243, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.015275546937639006, std values: 0.9154274754213118, min values: -2.841647375415054, max values: 5.0, median values: -0.1512685176242936, and quantile values: 0.25 -0.675068\n0.50 -0.151269\n0.75 0.620378\nName: 2244, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3351720910774961, std values: 0.8964516653311941, min values: -2.6685266729136536, max values: 5.0, median values: -0.3438256756722108, and quantile values: 0.25 -0.900994\n0.50 -0.343826\n0.75 0.237033\nName: 2245, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.392816544870543, std values: 0.8618975981473922, min values: -2.2191327111709698, max values: 6.0, median values: 0.5072945253729209, and quantile values: 0.25 -0.219898\n0.50 0.507295\n0.75 1.058345\nName: 2246, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.005287244046773136, std values: 0.9590011934538386, min values: -2.5774281843044924, max values: 6.0, median values: -0.0639623324272181, and quantile values: 0.25 -0.734393\n0.50 -0.063962\n0.75 0.687652\nName: 2247, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15279725427819796, std values: 0.8908601576996911, min values: -1.9457173727172967, max values: 3.4758930087721422, median values: 0.041623918166357, and quantile values: 0.25 -0.517115\n0.50 0.041624\n0.75 0.812122\nName: 2248, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3680447224758205, std values: 0.8826507261224823, min values: -2.3771558481240653, max values: 4.0, median values: 0.3749626478090466, and quantile values: 0.25 -0.252669\n0.50 0.374963\n0.75 1.018228\nName: 2249, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4584113223953166, std values: 1.1439159360871813, min values: -2.837386543755612, max values: 4.0, median values: -0.3537216540182832, and quantile values: 0.25 -1.196949\n0.50 -0.353722\n0.75 0.308232\nName: 2250, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04729529308133552, std values: 0.7819277998378806, min values: -2.2012167772695554, max values: 3.306454397423372, median values: -0.1006161529451188, and quantile values: 0.25 -0.592483\n0.50 -0.100616\n0.75 0.436769\nName: 2251, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37262605686230355, std values: 0.9419444258829768, min values: -2.0148114180740584, max values: 4.0, median values: 0.2944803448446009, and quantile values: 0.25 -0.315079\n0.50 0.294480\n0.75 1.054316\nName: 2252, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18166242556945808, std values: 0.8883724227862358, min values: -2.0388658839696707, max values: 5.0, median values: 0.2498391739137079, and quantile values: 0.25 -0.466738\n0.50 0.249839\n0.75 0.841347\nName: 2253, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5200376051403947, std values: 0.7945878810730197, min values: -2.981718296512785, max values: 5.0, median values: -0.6074794385914307, and quantile values: 0.25 -1.079393\n0.50 -0.607479\n0.75 -0.021698\nName: 2254, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5523650243331335, std values: 0.8993351159619082, min values: -2.0903611962432427, max values: 3.141939528112806, median values: -0.6311386048554614, and quantile values: 0.25 -1.297554\n0.50 -0.631139\n0.75 0.012408\nName: 2255, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4192438243422243, std values: 1.0461067326934026, min values: -3.00972886875607, max values: 3.216771431244405, median values: -0.3738725724282202, and quantile values: 0.25 -0.988883\n0.50 -0.373873\n0.75 0.288463\nName: 2256, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4063295015735207, std values: 0.9653998338879322, min values: -2.9472833478224456, max values: 6.0, median values: -0.3404677453137505, and quantile values: 0.25 -0.960251\n0.50 -0.340468\n0.75 0.168313\nName: 2257, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3677675661847101, std values: 0.8763371374534447, min values: -2.1475280888671984, max values: 3.569037956734876, median values: -0.4998895105441706, and quantile values: 0.25 -1.048876\n0.50 -0.499890\n0.75 0.239757\nName: 2258, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37963550790328704, std values: 0.9690839564708044, min values: -2.5631847770497496, max values: 4.0, median values: 0.3012015318379327, and quantile values: 0.25 -0.281424\n0.50 0.301202\n0.75 1.051378\nName: 2259, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.008717686301595105, std values: 0.8647619057453291, min values: -2.688157591415518, max values: 3.0, median values: 0.0766033786568958, and quantile values: 0.25 -0.542084\n0.50 0.076603\n0.75 0.605888\nName: 2260, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20310981657914437, std values: 0.8682362145011712, min values: -2.134449825097116, max values: 5.0, median values: -0.2143646752214573, and quantile values: 0.25 -0.855715\n0.50 -0.214365\n0.75 0.374278\nName: 2261, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.030414582746245096, std values: 0.8000100622913181, min values: -2.0600063421362025, max values: 3.3483277116524426, median values: -0.0665565468131652, and quantile values: 0.25 -0.530889\n0.50 -0.066557\n0.75 0.541081\nName: 2262, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.005522339407541443, std values: 0.8455631021508713, min values: -1.9733922499246843, max values: 5.0, median values: -0.0294437794196833, and quantile values: 0.25 -0.601550\n0.50 -0.029444\n0.75 0.582260\nName: 2263, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.217920968274107, std values: 0.7432619086780635, min values: -2.5422910691068967, max values: 3.0, median values: 0.2445979605430937, and quantile values: 0.25 -0.264482\n0.50 0.244598\n0.75 0.683472\nName: 2264, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.135434002773475, std values: 0.7570458281789029, min values: -2.142034234211891, max values: 6.0, median values: 0.1777411739775176, and quantile values: 0.25 -0.349774\n0.50 0.177741\n0.75 0.586357\nName: 2265, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20066259929407043, std values: 0.8757091345108743, min values: -2.5563022890751474, max values: 4.0, median values: 0.1619478050149889, and quantile values: 0.25 -0.369112\n0.50 0.161948\n0.75 0.772653\nName: 2266, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.369183290785629, std values: 0.9233627842433825, min values: -2.0600063421362025, max values: 3.319774799707247, median values: 0.4655922924153405, and quantile values: 0.25 -0.301663\n0.50 0.465592\n0.75 1.108783\nName: 2267, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32472072356700776, std values: 0.8806113653127662, min values: -2.2915911556076085, max values: 3.191712471143802, median values: 0.436274715053103, and quantile values: 0.25 -0.296159\n0.50 0.436275\n0.75 0.974934\nName: 2268, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0503528908559865, std values: 1.2778060487630165, min values: -2.727901130262228, max values: 4.0, median values: -1.6942657901348734, and quantile values: 0.25 -2.140874\n0.50 -1.694266\n0.75 0.100771\nName: 2269, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09236942400201577, std values: 0.768708214686971, min values: -2.290451346822418, max values: 3.3760121766849016, median values: 0.1324559073918004, and quantile values: 0.25 -0.436379\n0.50 0.132456\n0.75 0.593159\nName: 2270, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12942176543547054, std values: 0.9694664671544121, min values: -2.7688682710567485, max values: 3.0533207538164056, median values: -0.1735888266067957, and quantile values: 0.25 -0.785887\n0.50 -0.173589\n0.75 0.545021\nName: 2271, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38189101195019287, std values: 1.0287037038494982, min values: -2.6404955031131814, max values: 6.0, median values: 0.4014477093834898, and quantile values: 0.25 -0.389239\n0.50 0.401448\n0.75 1.217422\nName: 2272, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5003719179031171, std values: 1.0145129794292724, min values: -2.061633117855348, max values: 3.5581019918925243, median values: 0.3788622529750025, and quantile values: 0.25 -0.218429\n0.50 0.378862\n0.75 1.161703\nName: 2273, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6701407560302236, std values: 0.9049138144763814, min values: -2.45229857681487, max values: 4.243835016543704, median values: 0.6566187957211331, and quantile values: 0.25 0.099476\n0.50 0.656619\n0.75 1.238112\nName: 2274, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4738357342329682, std values: 0.8479282265018258, min values: -2.03491991191987, max values: 4.0, median values: 0.5665948737186278, and quantile values: 0.25 -0.091712\n0.50 0.566595\n0.75 1.081297\nName: 2275, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5856565701983157, std values: 0.7979001441061971, min values: -2.8531572940820533, max values: 3.281452258958016, median values: -0.6433477308728882, and quantile values: 0.25 -1.171720\n0.50 -0.643348\n0.75 -0.117560\nName: 2276, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0002541873529911956, std values: 0.7675659552212586, min values: -2.6412681606926487, max values: 3.176672644814091, median values: -0.0296656537449794, and quantile values: 0.25 -0.486752\n0.50 -0.029666\n0.75 0.486464\nName: 2277, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.46207967955215057, std values: 1.111406342679898, min values: -2.981718296512785, max values: 5.0, median values: 0.6228147727073522, and quantile values: 0.25 -0.179357\n0.50 0.622815\n0.75 1.299311\nName: 2278, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32775150543667697, std values: 1.1889716008631273, min values: -2.8834699678265463, max values: 5.0, median values: 0.430123054291151, and quantile values: 0.25 -0.457505\n0.50 0.430123\n0.75 1.240455\nName: 2279, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2549459205780332, std values: 0.7477915564860116, min values: -2.0365598737040225, max values: 5.0, median values: 0.2611467443457651, and quantile values: 0.25 -0.224019\n0.50 0.261147\n0.75 0.711784\nName: 2280, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07726865748672954, std values: 0.7624242633227621, min values: -2.196708653609315, max values: 6.0, median values: 0.0405765399651164, and quantile values: 0.25 -0.415675\n0.50 0.040577\n0.75 0.532346\nName: 2281, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0023460208740657736, std values: 1.2336150013906035, min values: -2.92272757463548, max values: 6.0, median values: 0.1276411898644683, and quantile values: 0.25 -0.834992\n0.50 0.127641\n0.75 1.012832\nName: 2282, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06626908908319783, std values: 0.8940430952273312, min values: -2.6685266729136536, max values: 5.0, median values: -0.2073885318853062, and quantile values: 0.25 -0.747763\n0.50 -0.207389\n0.75 0.560169\nName: 2283, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08291863475632773, std values: 0.7941201915896549, min values: -2.2915911556076085, max values: 3.162318759909359, median values: 0.1181633105319311, and quantile values: 0.25 -0.482540\n0.50 0.118163\n0.75 0.648713\nName: 2284, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04871035437765777, std values: 1.0375499764609208, min values: -2.7648443048846945, max values: 3.147276669305989, median values: -0.0052468840655737, and quantile values: 0.25 -0.890967\n0.50 -0.005247\n0.75 0.732695\nName: 2285, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21180589020866228, std values: 0.8110086249437294, min values: -2.6635706018350787, max values: 3.0, median values: 0.2825550234831241, and quantile values: 0.25 -0.321959\n0.50 0.282555\n0.75 0.793700\nName: 2286, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13477280527724556, std values: 0.8403506737620426, min values: -2.724017888297919, max values: 3.258347009006034, median values: -0.1955286315799942, and quantile values: 0.25 -0.631912\n0.50 -0.195529\n0.75 0.376205\nName: 2287, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2224982004510797, std values: 0.8301273717825834, min values: -2.066019572692439, max values: 2.909025160955454, median values: -0.3221411148525652, and quantile values: 0.25 -0.858432\n0.50 -0.322141\n0.75 0.337632\nName: 2288, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12377866063519581, std values: 0.8395877981282086, min values: -2.58513369695146, max values: 3.0, median values: 0.0082485355937111, and quantile values: 0.25 -0.428281\n0.50 0.008249\n0.75 0.634883\nName: 2289, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2877707473423796, std values: 0.7755172019145072, min values: -2.608390851963037, max values: 5.0, median values: -0.269133630807074, and quantile values: 0.25 -0.843799\n0.50 -0.269134\n0.75 0.201975\nName: 2290, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.018656463223037354, std values: 0.7946472301199795, min values: -2.018833792006631, max values: 3.3483277116524426, median values: -0.1114067339781111, and quantile values: 0.25 -0.567372\n0.50 -0.111407\n0.75 0.486411\nName: 2291, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5925508964493309, std values: 1.045927671197861, min values: -2.3922473154067863, max values: 5.0, median values: 0.6462339066106079, and quantile values: 0.25 -0.207501\n0.50 0.646234\n0.75 1.444634\nName: 2292, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16023591283705244, std values: 0.9679316259800393, min values: -2.0618486359083783, max values: 6.0, median values: -0.2824931865839784, and quantile values: 0.25 -0.935250\n0.50 -0.282493\n0.75 0.505816\nName: 2293, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2315755922254331, std values: 0.8303473685064521, min values: -2.0477799217050063, max values: 5.0, median values: -0.3247560061029868, and quantile values: 0.25 -0.859374\n0.50 -0.324756\n0.75 0.315825\nName: 2294, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3728803999778582, std values: 0.763655817711629, min values: -2.429024008314812, max values: 5.0, median values: -0.4133309985005753, and quantile values: 0.25 -0.901668\n0.50 -0.413331\n0.75 0.082436\nName: 2295, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14972072774139158, std values: 0.7808953009361546, min values: -1.964969995437011, max values: 6.0, median values: 0.1906746664008543, and quantile values: 0.25 -0.378152\n0.50 0.190675\n0.75 0.683158\nName: 2296, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6567200901824772, std values: 1.076135906914486, min values: -2.6820581866633817, max values: 3.5021977227593246, median values: 0.684968029016935, and quantile values: 0.25 -0.139994\n0.50 0.684968\n0.75 1.520586\nName: 2297, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34087493856479495, std values: 0.8787388767016686, min values: -2.9265160609644223, max values: 6.0, median values: -0.3680548383859484, and quantile values: 0.25 -0.888954\n0.50 -0.368055\n0.75 0.199095\nName: 2298, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32792363174089756, std values: 0.8813290094494266, min values: -2.24438354120969, max values: 3.5021977227593246, median values: -0.4229746217394326, and quantile values: 0.25 -1.006459\n0.50 -0.422975\n0.75 0.236264\nName: 2299, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1996581347895499, std values: 1.451602104440653, min values: -2.928515832252388, max values: 5.0, median values: -0.0633592033608076, and quantile values: 0.25 -1.716028\n0.50 -0.063359\n0.75 1.022864\nName: 2300, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.025463645419959158, std values: 0.882241837585619, min values: -2.7939007019027, max values: 3.1175233493066874, median values: -0.0380960828356013, and quantile values: 0.25 -0.563296\n0.50 -0.038096\n0.75 0.523761\nName: 2301, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36370043724308493, std values: 0.8448647989310022, min values: -2.6466193392086392, max values: 4.0, median values: -0.3608258357624817, and quantile values: 0.25 -0.955763\n0.50 -0.360826\n0.75 0.183723\nName: 2302, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5340409859019598, std values: 0.9145463875051948, min values: -2.919359491767569, max values: 5.0, median values: -0.582820219841167, and quantile values: 0.25 -1.109344\n0.50 -0.582820\n0.75 0.011760\nName: 2303, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09211316075041609, std values: 1.3437557435457639, min values: -2.842043939794492, max values: 4.278004674434932, median values: 0.1225808438888025, and quantile values: 0.25 -0.713385\n0.50 0.122581\n0.75 0.969887\nName: 2304, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6681469595060163, std values: 1.1105960443437068, min values: -2.57895707818966, max values: 6.0, median values: 0.739121860361153, and quantile values: 0.25 -0.097257\n0.50 0.739122\n0.75 1.556454\nName: 2305, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19252269045745427, std values: 0.8377459468941969, min values: -2.580492024304656, max values: 3.784832159836258, median values: 0.1053206628766763, and quantile values: 0.25 -0.354650\n0.50 0.105321\n0.75 0.730968\nName: 2306, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0870783468448119, std values: 1.1180803161085373, min values: -2.618746139350171, max values: 3.709787027503053, median values: -0.1000935689581209, and quantile values: 0.25 -0.766657\n0.50 -0.100094\n0.75 0.880401\nName: 2307, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22722679233172566, std values: 1.1717835235039897, min values: -2.933035609461076, max values: 5.0, median values: -0.0762241209434583, and quantile values: 0.25 -1.085755\n0.50 -0.076224\n0.75 0.555199\nName: 2308, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39200098447067017, std values: 0.9281516566208347, min values: -2.7211321814067784, max values: 3.0, median values: -0.3233220858749754, and quantile values: 0.25 -0.975124\n0.50 -0.323322\n0.75 0.212213\nName: 2309, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5019406619273324, std values: 0.9723483601077727, min values: -2.8998169811239416, max values: 2.9640616449178703, median values: 0.4814951486080518, and quantile values: 0.25 -0.215894\n0.50 0.481495\n0.75 1.303262\nName: 2310, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15304549134561735, std values: 0.9179096190089362, min values: -2.109338159609067, max values: 5.0, median values: -0.2360940367139849, and quantile values: 0.25 -0.866110\n0.50 -0.236094\n0.75 0.490698\nName: 2311, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47447176706138866, std values: 0.8181264376595058, min values: -2.0446222759012818, max values: 4.0, median values: 0.5356195857616927, and quantile values: 0.25 -0.099524\n0.50 0.535620\n0.75 1.106798\nName: 2312, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06222578706243089, std values: 0.9448866285440495, min values: -2.607565022042742, max values: 4.0, median values: 0.0491223434427722, and quantile values: 0.25 -0.698074\n0.50 0.049122\n0.75 0.616852\nName: 2313, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07054748730415564, std values: 1.000791775902138, min values: -2.216667845863733, max values: 5.0, median values: 0.0231638857004527, and quantile values: 0.25 -0.721253\n0.50 0.023164\n0.75 0.813679\nName: 2314, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13363836511100588, std values: 0.971215398346693, min values: -2.090851036172633, max values: 3.3337116327022187, median values: 0.0351517459803418, and quantile values: 0.25 -0.574549\n0.50 0.035152\n0.75 0.789239\nName: 2315, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12884407791831026, std values: 0.8153225385467029, min values: -2.419659473655063, max values: 4.0, median values: -0.0953202990291812, and quantile values: 0.25 -0.707002\n0.50 -0.095320\n0.75 0.416148\nName: 2316, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22414067101402047, std values: 0.8303693471715373, min values: -2.589966702820638, max values: 6.0, median values: -0.3556468786421118, and quantile values: 0.25 -0.845487\n0.50 -0.355647\n0.75 0.299675\nName: 2317, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1309655819995469, std values: 0.856015661550507, min values: -2.113431735038636, max values: 3.1395741599540568, median values: 0.1696552600492261, and quantile values: 0.25 -0.457298\n0.50 0.169655\n0.75 0.722130\nName: 2318, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18473658046270633, std values: 0.8700163697468082, min values: -2.58513369695146, max values: 4.0, median values: 0.2855611813768066, and quantile values: 0.25 -0.284185\n0.50 0.285561\n0.75 0.759605\nName: 2319, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04650191190481231, std values: 0.876202445993524, min values: -2.041472651088877, max values: 4.0, median values: -0.0747285713476308, and quantile values: 0.25 -0.661581\n0.50 -0.074729\n0.75 0.488540\nName: 2320, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6129694231456094, std values: 0.9139127414960609, min values: -2.043510008966212, max values: 5.0, median values: 0.6802422990944081, and quantile values: 0.25 -0.053397\n0.50 0.680242\n0.75 1.343094\nName: 2321, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4837871841689265, std values: 0.9210910185111063, min values: -2.1840215034924912, max values: 3.306454397423372, median values: -0.6270436382711655, and quantile values: 0.25 -1.211201\n0.50 -0.627044\n0.75 0.078974\nName: 2322, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07846514960517527, std values: 0.7704571990665574, min values: -2.3333312203517527, max values: 3.379902545505621, median values: -0.1016571882230655, and quantile values: 0.25 -0.573685\n0.50 -0.101657\n0.75 0.349727\nName: 2323, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09849706784317033, std values: 1.0378015896170076, min values: -2.769191083399913, max values: 3.9048392686725855, median values: -0.2287282634832982, and quantile values: 0.25 -0.753532\n0.50 -0.228728\n0.75 0.495609\nName: 2324, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2860582165741263, std values: 0.8786340803034609, min values: -2.5743883495350026, max values: 5.0, median values: 0.3608762846967666, and quantile values: 0.25 -0.210449\n0.50 0.360876\n0.75 0.858705\nName: 2325, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37052646487298896, std values: 1.3299923436988217, min values: -2.9029979285382743, max values: 3.867701659180865, median values: -0.1165342033452063, and quantile values: 0.25 -1.386298\n0.50 -0.116534\n0.75 0.537114\nName: 2326, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.017575466106486956, std values: 1.0957505508437109, min values: -2.558791007225312, max values: 3.4566816047670264, median values: 0.0865538530582319, and quantile values: 0.25 -0.715123\n0.50 0.086554\n0.75 0.877897\nName: 2327, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3284191329322216, std values: 0.8484856122943965, min values: -2.58513369695146, max values: 4.026668017837955, median values: -0.3993416024723628, and quantile values: 0.25 -1.023050\n0.50 -0.399342\n0.75 0.238371\nName: 2328, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18849531936537736, std values: 0.9473135028815031, min values: -2.0581710137008287, max values: 3.8226908388056136, median values: 0.1652412229694377, and quantile values: 0.25 -0.478893\n0.50 0.165241\n0.75 0.817832\nName: 2329, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04843333454954807, std values: 0.7896438691048737, min values: -2.119621483749997, max values: 3.0, median values: -0.0468607326713701, and quantile values: 0.25 -0.526528\n0.50 -0.046861\n0.75 0.598183\nName: 2330, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.024693158837995464, std values: 0.7488015163579782, min values: -2.226424194672579, max values: 4.0, median values: -0.0219781410749555, and quantile values: 0.25 -0.507644\n0.50 -0.021978\n0.75 0.400224\nName: 2331, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05262067010690058, std values: 1.040067652002855, min values: -2.684072796644972, max values: 6.0, median values: 0.1404714090261752, and quantile values: 0.25 -0.628352\n0.50 0.140471\n0.75 0.862406\nName: 2332, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13942247772105978, std values: 0.9910980602266558, min values: -2.3901859923463884, max values: 6.0, median values: 0.2030842414825561, and quantile values: 0.25 -0.623327\n0.50 0.203084\n0.75 0.919585\nName: 2333, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4546085666298758, std values: 0.8582962123770312, min values: -1.9844958671694384, max values: 4.0, median values: 0.3909854995492629, and quantile values: 0.25 -0.125661\n0.50 0.390985\n0.75 1.025097\nName: 2334, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35274009670278317, std values: 1.0130057484813428, min values: -2.6586934669066777, max values: 4.0, median values: -0.3475138415993485, and quantile values: 0.25 -1.164257\n0.50 -0.347514\n0.75 0.373601\nName: 2335, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49649044992817304, std values: 1.1824148394539906, min values: -3.0148736195915964, max values: 3.5021977227593246, median values: 0.4281269274620575, and quantile values: 0.25 -0.454144\n0.50 0.428127\n0.75 1.491218\nName: 2336, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09166375235390457, std values: 0.977601931103826, min values: -2.6800544037614658, max values: 4.0, median values: -0.0371383419660143, and quantile values: 0.25 -0.765642\n0.50 -0.037138\n0.75 0.663604\nName: 2337, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.004332157885208582, std values: 0.9671235301061097, min values: -2.769191083399913, max values: 3.0, median values: 0.0124205495353576, and quantile values: 0.25 -0.459319\n0.50 0.012421\n0.75 0.601635\nName: 2338, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11545368893966282, std values: 0.809538757702323, min values: -2.209283142861864, max values: 6.0, median values: -0.0993044991617321, and quantile values: 0.25 -0.696808\n0.50 -0.099304\n0.75 0.402791\nName: 2339, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3233883420353536, std values: 0.8795423963401853, min values: -2.6635706018350787, max values: 3.280245386470253, median values: -0.3668610316325982, and quantile values: 0.25 -1.029204\n0.50 -0.366861\n0.75 0.308963\nName: 2340, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15286720757988503, std values: 0.8110334724785196, min values: -2.5825978442440407, max values: 6.0, median values: -0.2249694313961094, and quantile values: 0.25 -0.684777\n0.50 -0.224969\n0.75 0.345130\nName: 2341, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.025177522824950324, std values: 0.9917828514965548, min values: -2.8563982925340614, max values: 5.0, median values: 0.13278971320857, and quantile values: 0.25 -0.673644\n0.50 0.132790\n0.75 0.707851\nName: 2342, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29764537734487756, std values: 0.9374664385994088, min values: -2.7428415536925543, max values: 5.0, median values: 0.4083826776270512, and quantile values: 0.25 -0.295172\n0.50 0.408383\n0.75 1.003031\nName: 2343, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23013335166281826, std values: 1.0210716354374278, min values: -2.1317706126061804, max values: 3.569037956734876, median values: -0.4134768144428864, and quantile values: 0.25 -1.028487\n0.50 -0.413477\n0.75 0.442755\nName: 2344, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37773950498709663, std values: 1.0280981218761682, min values: -2.632854336056873, max values: 3.5427287984042666, median values: -0.3392067745277095, and quantile values: 0.25 -1.307847\n0.50 -0.339207\n0.75 0.363299\nName: 2345, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13845282473616533, std values: 1.2425987113642067, min values: -2.7542003929097176, max values: 5.0, median values: 0.2190829228429638, and quantile values: 0.25 -0.637661\n0.50 0.219083\n0.75 1.085854\nName: 2346, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13572436340005664, std values: 0.8196940124784693, min values: -2.0884920198234647, max values: 5.0, median values: -0.2239063851662052, and quantile values: 0.25 -0.751712\n0.50 -0.223906\n0.75 0.441176\nName: 2347, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.134582790069064, std values: 0.7872887788061538, min values: -2.556631690482005, max values: 3.0838352979250487, median values: -0.1723924814323286, and quantile values: 0.25 -0.699704\n0.50 -0.172392\n0.75 0.384081\nName: 2348, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39443023725813303, std values: 0.8958641409039255, min values: -2.6466193392086392, max values: 4.0, median values: -0.359968344250504, and quantile values: 0.25 -0.965022\n0.50 -0.359968\n0.75 0.163845\nName: 2349, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18697177153362585, std values: 0.8624158431113376, min values: -2.1144606839090367, max values: 3.4566816047670264, median values: -0.1977186253849895, and quantile values: 0.25 -0.821580\n0.50 -0.197719\n0.75 0.359875\nName: 2350, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5742765812759273, std values: 0.9397859920095264, min values: -2.09158673805026, max values: 3.306454397423372, median values: 0.5726547217377443, and quantile values: 0.25 -0.016852\n0.50 0.572655\n0.75 1.154585\nName: 2351, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09020446775590696, std values: 0.8509355874852645, min values: -2.5961021427111413, max values: 3.670892362631932, median values: -0.1166402418244715, and quantile values: 0.25 -0.592188\n0.50 -0.116640\n0.75 0.393870\nName: 2352, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39202035557856585, std values: 1.0849157535249154, min values: -2.769191083399913, max values: 3.1995118554872866, median values: -0.1958654924087381, and quantile values: 0.25 -0.895616\n0.50 -0.195865\n0.75 0.301778\nName: 2353, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23646141993460007, std values: 1.1216584505684044, min values: -3.103622965243163, max values: 3.721862465295849, median values: 0.2836374592470901, and quantile values: 0.25 -0.593206\n0.50 0.283637\n0.75 1.134195\nName: 2354, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.389997818203826, std values: 0.8020072360618828, min values: -2.226424194672579, max values: 4.0, median values: 0.473601376709832, and quantile values: 0.25 -0.092970\n0.50 0.473601\n0.75 0.897595\nName: 2355, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0688472671122049, std values: 0.806387866498461, min values: -2.190344926090362, max values: 3.9048392686725855, median values: -0.0793689334245926, and quantile values: 0.25 -0.609983\n0.50 -0.079369\n0.75 0.427768\nName: 2356, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.024281861389244867, std values: 0.8947822952010407, min values: -2.657750824678472, max values: 5.0, median values: -0.0118972639016814, and quantile values: 0.25 -0.524954\n0.50 -0.011897\n0.75 0.637110\nName: 2357, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08670731391777602, std values: 1.1993529798850917, min values: -2.9622221028070275, max values: 4.0, median values: 0.1492090161474466, and quantile values: 0.25 -0.796813\n0.50 0.149209\n0.75 0.765040\nName: 2358, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39849907258442974, std values: 0.9848523539141999, min values: -2.687115288423959, max values: 5.0, median values: 0.4618945106566946, and quantile values: 0.25 -0.340994\n0.50 0.461895\n0.75 1.209597\nName: 2359, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6894298677276646, std values: 1.0880851254156558, min values: -2.8531572940820533, max values: 3.0, median values: -0.7394838023630723, and quantile values: 0.25 -1.551572\n0.50 -0.739484\n0.75 0.112903\nName: 2360, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2955950738974221, std values: 1.2067482655879085, min values: -2.7510671817729784, max values: 6.0, median values: 0.2676799670578654, and quantile values: 0.25 -0.470078\n0.50 0.267680\n0.75 1.110862\nName: 2361, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02896424851794029, std values: 0.8554244149312137, min values: -2.203261017673808, max values: 6.0, median values: 0.061230592918302, and quantile values: 0.25 -0.677050\n0.50 0.061231\n0.75 0.576502\nName: 2362, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.1010363054067935, std values: 1.2844512948925362, min values: -2.727901130262228, max values: 4.0, median values: -1.698650509722466, and quantile values: 0.25 -2.140874\n0.50 -1.698651\n0.75 -0.146174\nName: 2363, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3296832226422538, std values: 0.987380294071764, min values: -2.5399045531878324, max values: 4.0, median values: -0.3449881571904262, and quantile values: 0.25 -1.087341\n0.50 -0.344988\n0.75 0.308645\nName: 2364, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24708228101271998, std values: 0.9249288152366775, min values: -2.1730882470106176, max values: 3.9905524164385566, median values: -0.1954163495693764, and quantile values: 0.25 -0.989752\n0.50 -0.195416\n0.75 0.500877\nName: 2365, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12330161817001474, std values: 0.9215401491731434, min values: -2.5759052915632985, max values: 3.2328207660681025, median values: 0.1559515730816642, and quantile values: 0.25 -0.472848\n0.50 0.155952\n0.75 0.712316\nName: 2366, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08034032705558608, std values: 0.9365225938079565, min values: -2.662750916816848, max values: 5.0, median values: 0.0626102009486221, and quantile values: 0.25 -0.628333\n0.50 0.062610\n0.75 0.750584\nName: 2367, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5632771198277355, std values: 0.9233251254576608, min values: -2.687115288423959, max values: 5.0, median values: -0.6819113196855758, and quantile values: 0.25 -1.275867\n0.50 -0.681911\n0.75 0.038895\nName: 2368, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09464687858304559, std values: 0.8139423272626959, min values: -2.6635706018350787, max values: 4.278004674434932, median values: 0.0804187726038718, and quantile values: 0.25 -0.443408\n0.50 0.080419\n0.75 0.579155\nName: 2369, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32726683487844305, std values: 0.9549024580314736, min values: -2.919359491767569, max values: 6.0, median values: 0.3858118098829814, and quantile values: 0.25 -0.305094\n0.50 0.385812\n0.75 0.982182\nName: 2370, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19811667304173877, std values: 0.8690349527259101, min values: -2.876502173242568, max values: 3.627976272701048, median values: -0.2146536598324074, and quantile values: 0.25 -0.839857\n0.50 -0.214654\n0.75 0.414797\nName: 2371, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28577679425957914, std values: 0.8967674275605124, min values: -2.375301775479057, max values: 5.0, median values: 0.3554708608511601, and quantile values: 0.25 -0.400224\n0.50 0.355471\n0.75 0.990176\nName: 2372, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17054634034362723, std values: 0.8405059291774005, min values: -2.147228856409125, max values: 3.528773265847577, median values: 0.1892543724417182, and quantile values: 0.25 -0.387932\n0.50 0.189254\n0.75 0.719832\nName: 2373, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02611430282222229, std values: 0.9218200565490137, min values: -2.045960343889241, max values: 6.0, median values: -0.0617272382466365, and quantile values: 0.25 -0.685046\n0.50 -0.061727\n0.75 0.571486\nName: 2374, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3274366227109246, std values: 0.9195426205814671, min values: -2.7825548156447035, max values: 6.0, median values: 0.4213501620739816, and quantile values: 0.25 -0.221553\n0.50 0.421350\n0.75 0.935583\nName: 2375, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.731540388980761, std values: 1.0473548450617942, min values: -2.919359491767569, max values: 5.0, median values: -0.8923937162099597, and quantile values: 0.25 -1.533938\n0.50 -0.892394\n0.75 -0.025764\nName: 2376, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04158327226765583, std values: 0.8953150571905655, min values: -3.074005993202373, max values: 2.765926108611695, median values: 0.0256419101390998, and quantile values: 0.25 -0.561330\n0.50 0.025642\n0.75 0.515605\nName: 2377, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02167256225460112, std values: 0.7221806296783035, min values: -2.745904427753044, max values: 5.0, median values: -0.0430848116432939, and quantile values: 0.25 -0.447589\n0.50 -0.043085\n0.75 0.443878\nName: 2378, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06950170340771948, std values: 0.877150597832375, min values: -2.8467638118011016, max values: 5.0, median values: 0.0698731410029882, and quantile values: 0.25 -0.417995\n0.50 0.069873\n0.75 0.623102\nName: 2379, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.027952729993961256, std values: 0.9659196607112237, min values: -2.623568901859613, max values: 4.0, median values: 0.0610858939780899, and quantile values: 0.25 -0.519617\n0.50 0.061086\n0.75 0.619318\nName: 2380, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3396949779889919, std values: 0.9849067989449191, min values: -2.9472833478224456, max values: 6.0, median values: -0.4823857093842099, and quantile values: 0.25 -1.121038\n0.50 -0.482386\n0.75 0.284622\nName: 2381, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6594919145374345, std values: 1.039991900035963, min values: -2.3268428251665463, max values: 5.0, median values: 0.7766311791318441, and quantile values: 0.25 -0.090756\n0.50 0.776631\n0.75 1.495678\nName: 2382, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09772574273839824, std values: 0.9039602313415239, min values: -2.09776205448632, max values: 3.397048482165858, median values: -0.1190915647284244, and quantile values: 0.25 -0.810523\n0.50 -0.119092\n0.75 0.528671\nName: 2383, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17785493470432284, std values: 0.8138898298253262, min values: -2.0518013768179686, max values: 6.0, median values: 0.1420946758566612, and quantile values: 0.25 -0.356674\n0.50 0.142095\n0.75 0.658362\nName: 2384, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30979305216946595, std values: 0.948212935310254, min values: -2.572123985342288, max values: 4.0, median values: -0.4199949768077657, and quantile values: 0.25 -1.043907\n0.50 -0.419995\n0.75 0.318360\nName: 2385, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.010572338481777419, std values: 0.7897374484478078, min values: -1.9061949469039408, max values: 3.1290445144064547, median values: -0.0498894922021847, and quantile values: 0.25 -0.515479\n0.50 -0.049889\n0.75 0.489979\nName: 2386, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7323309882048318, std values: 0.9229116626425485, min values: -2.5820330744015787, max values: 4.0, median values: -0.8615675924882134, and quantile values: 0.25 -1.481576\n0.50 -0.861568\n0.75 -0.116331\nName: 2387, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5442536887458399, std values: 0.8092850169597615, min values: -1.965729912319722, max values: 4.0, median values: 0.5269621948586917, and quantile values: 0.25 -0.012421\n0.50 0.526962\n0.75 1.123312\nName: 2388, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16182203294910324, std values: 0.9410031137792942, min values: -2.5859127503381347, max values: 3.0932086550988465, median values: 0.2587248365027491, and quantile values: 0.25 -0.482610\n0.50 0.258725\n0.75 0.869519\nName: 2389, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18633359505371466, std values: 1.0463820105958148, min values: -3.21990804472754, max values: 5.0, median values: 0.1343158716749944, and quantile values: 0.25 -0.421221\n0.50 0.134316\n0.75 0.827779\nName: 2390, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.038104496438238475, std values: 0.8191023295495076, min values: -2.03580840849463, max values: 6.0, median values: -0.1230248079193862, and quantile values: 0.25 -0.635866\n0.50 -0.123025\n0.75 0.492112\nName: 2391, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41879593873824056, std values: 0.9103936586330367, min values: -2.074944808708433, max values: 6.0, median values: -0.5590038598879775, and quantile values: 0.25 -1.138894\n0.50 -0.559004\n0.75 0.160051\nName: 2392, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16595265311283994, std values: 0.7479888817806929, min values: -2.0588700902073955, max values: 5.0, median values: -0.2434347273325615, and quantile values: 0.25 -0.682747\n0.50 -0.243435\n0.75 0.283908\nName: 2393, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4620470364461906, std values: 0.8369497187590885, min values: -3.1175233493066874, max values: 2.904599483626477, median values: -0.6020955670376864, and quantile values: 0.25 -1.073621\n0.50 -0.602096\n0.75 0.063880\nName: 2394, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11056075327585214, std values: 0.7903972781067281, min values: -2.222049826555007, max values: 3.9048392686725855, median values: 0.1008267637955427, and quantile values: 0.25 -0.399495\n0.50 0.100827\n0.75 0.586717\nName: 2395, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07605135507538485, std values: 0.8745027979875628, min values: -2.5961021427111413, max values: 3.667275230673496, median values: -0.0079589454995748, and quantile values: 0.25 -0.515348\n0.50 -0.007959\n0.75 0.705801\nName: 2396, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.040680787769190256, std values: 1.1535882500338783, min values: -2.9109251266226006, max values: 3.569037956734876, median values: 0.2388083187799336, and quantile values: 0.25 -0.385506\n0.50 0.238808\n0.75 0.755800\nName: 2397, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18082278632025336, std values: 0.8545314717914745, min values: -2.589966702820638, max values: 6.0, median values: 0.084380669168123, and quantile values: 0.25 -0.386219\n0.50 0.084381\n0.75 0.700730\nName: 2398, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3138917655875587, std values: 0.8517007398709481, min values: -2.100754849305273, max values: 2.911081305398725, median values: 0.3272733792646174, and quantile values: 0.25 -0.313877\n0.50 0.327273\n0.75 0.980832\nName: 2399, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4669822349543505, std values: 0.8273102792809166, min values: -2.7510671817729784, max values: 6.0, median values: -0.578948980384498, and quantile values: 0.25 -1.020219\n0.50 -0.578949\n0.75 0.013605\nName: 2400, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18561872161859835, std values: 0.9017565316007068, min values: -2.5682675825126706, max values: 5.0, median values: 0.1014634162739262, and quantile values: 0.25 -0.463473\n0.50 0.101463\n0.75 0.838446\nName: 2401, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4963968656334035, std values: 0.8641181345730076, min values: -2.607565022042742, max values: 5.0, median values: -0.6161524749418915, and quantile values: 0.25 -1.181990\n0.50 -0.616152\n0.75 0.054149\nName: 2402, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13679168166572256, std values: 0.8792483878629692, min values: -2.4536054974529624, max values: 6.0, median values: -0.2345790869497376, and quantile values: 0.25 -0.799478\n0.50 -0.234579\n0.75 0.469617\nName: 2403, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8128939297964524, std values: 0.9646253438635659, min values: -2.5631847770497496, max values: 4.026668017837955, median values: 0.9099683505408288, and quantile values: 0.25 0.140832\n0.50 0.909968\n0.75 1.529469\nName: 2404, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3318776364241054, std values: 0.747147911007895, min values: -2.732564679617164, max values: 3.2906806286429298, median values: 0.3744867823955884, and quantile values: 0.25 -0.130215\n0.50 0.374487\n0.75 0.804433\nName: 2405, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.015996876551439703, std values: 0.803043811819464, min values: -2.2915911556076085, max values: 3.415255285860171, median values: 0.0714132220095418, and quantile values: 0.25 -0.550490\n0.50 0.071413\n0.75 0.546040\nName: 2406, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2706929266247311, std values: 0.9823915995569329, min values: -2.3808324358856225, max values: 3.312693232344632, median values: 0.226505073745154, and quantile values: 0.25 -0.509688\n0.50 0.226505\n0.75 0.975276\nName: 2407, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23062207566798543, std values: 0.9574681004374709, min values: -2.5953860446419177, max values: 5.0, median values: 0.2855079048613328, and quantile values: 0.25 -0.405467\n0.50 0.285508\n0.75 0.931563\nName: 2408, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2567866064110992, std values: 0.7764606546208276, min values: -2.688157591415518, max values: 5.0, median values: -0.3463621934799128, and quantile values: 0.25 -0.795515\n0.50 -0.346362\n0.75 0.185741\nName: 2409, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1714668818555284, std values: 0.8733982603926295, min values: -2.033393887002898, max values: 3.0, median values: 0.1743086703636235, and quantile values: 0.25 -0.490228\n0.50 0.174309\n0.75 0.865446\nName: 2410, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2725158215044581, std values: 0.7629856290737976, min values: -2.1124050188802093, max values: 5.0, median values: -0.3386817589543789, and quantile values: 0.25 -0.778494\n0.50 -0.338682\n0.75 0.141806\nName: 2411, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17133965096095954, std values: 0.8327522535623719, min values: -2.019021851668823, max values: 3.260388056018088, median values: 0.2174128368753224, and quantile values: 0.25 -0.398599\n0.50 0.217413\n0.75 0.683576\nName: 2412, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09624100312418925, std values: 1.033707049327342, min values: -2.5445249319512966, max values: 3.721862465295849, median values: -0.1077491473336132, and quantile values: 0.25 -0.949590\n0.50 -0.107749\n0.75 0.690620\nName: 2413, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.006763501390462776, std values: 0.8655156108264068, min values: -2.4737574649270093, max values: 3.3760121766849016, median values: -0.0096902984850462, and quantile values: 0.25 -0.643086\n0.50 -0.009690\n0.75 0.584221\nName: 2414, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13621543664442187, std values: 0.9400097632263147, min values: -2.576018450691392, max values: 4.0, median values: -0.1854540009298069, and quantile values: 0.25 -0.779338\n0.50 -0.185454\n0.75 0.505659\nName: 2415, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08755959354806551, std values: 0.7349213651091843, min values: -2.226424194672579, max values: 4.0, median values: -0.0850059670150675, and quantile values: 0.25 -0.537309\n0.50 -0.085006\n0.75 0.330117\nName: 2416, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.005121353773403903, std values: 0.9440742649939811, min values: -2.73836943861057, max values: 3.784832159836258, median values: -0.0161387380047714, and quantile values: 0.25 -0.740193\n0.50 -0.016139\n0.75 0.725447\nName: 2417, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29252788841917815, std values: 0.811788285697402, min values: -2.5825978442440407, max values: 6.0, median values: 0.3150545850281133, and quantile values: 0.25 -0.237142\n0.50 0.315055\n0.75 0.802015\nName: 2418, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12367010231734528, std values: 0.7714947376480219, min values: -2.028412867843044, max values: 2.8950998983305065, median values: 0.1407764054124629, and quantile values: 0.25 -0.415938\n0.50 0.140776\n0.75 0.646302\nName: 2419, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40842201754519614, std values: 0.9156365220434293, min values: -3.28024538647024, max values: 3.721862465295849, median values: 0.4305762233088868, and quantile values: 0.25 -0.103372\n0.50 0.430576\n0.75 0.947289\nName: 2420, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1315001606350526, std values: 0.8314246304148647, min values: -2.589966702820638, max values: 6.0, median values: 0.1314926133518331, and quantile values: 0.25 -0.402761\n0.50 0.131493\n0.75 0.640577\nName: 2421, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.324636305797474, std values: 1.0956906531991477, min values: -2.2837882496430213, max values: 4.278004674434932, median values: 0.1380372012498615, and quantile values: 0.25 -0.496518\n0.50 0.138037\n0.75 1.045856\nName: 2422, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1170702851205558, std values: 1.2364543523249623, min values: -2.815821936576896, max values: 3.0, median values: 0.0887220172537683, and quantile values: 0.25 -0.794413\n0.50 0.088722\n0.75 0.771931\nName: 2423, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36190410847218285, std values: 1.0708662439622005, min values: -2.7024513197886706, max values: 3.405671179043623, median values: 0.4418182175354885, and quantile values: 0.25 -0.343575\n0.50 0.441818\n0.75 1.193779\nName: 2424, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1195912291641974, std values: 0.8504135941516477, min values: -2.118599024240829, max values: 3.319774799707247, median values: 0.1309092887288948, and quantile values: 0.25 -0.503508\n0.50 0.130909\n0.75 0.756643\nName: 2425, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2366900118448801, std values: 0.9047187959833499, min values: -2.634919142586459, max values: 6.0, median values: -0.2555979147662445, and quantile values: 0.25 -0.823625\n0.50 -0.255598\n0.75 0.357095\nName: 2426, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22231668840956958, std values: 1.0863610159369665, min values: -2.8282523283494294, max values: 4.0, median values: -0.2726761426992253, and quantile values: 0.25 -1.033986\n0.50 -0.272676\n0.75 0.554895\nName: 2427, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12565246034362504, std values: 0.9502525626338568, min values: -2.56026492390943, max values: 4.0, median values: 0.1919929245124637, and quantile values: 0.25 -0.470724\n0.50 0.191993\n0.75 0.728416\nName: 2428, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09066412723660365, std values: 0.8376136533741019, min values: -2.56026492390943, max values: 4.0, median values: -0.0681200195199403, and quantile values: 0.25 -0.612727\n0.50 -0.068120\n0.75 0.384412\nName: 2429, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15094138415878855, std values: 1.2589726660468181, min values: -2.93129584560762, max values: 6.0, median values: 0.1253540509620334, and quantile values: 0.25 -0.901775\n0.50 0.125354\n0.75 0.718292\nName: 2430, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08779402443543785, std values: 0.7660607176655722, min values: -1.997101971817732, max values: 4.0, median values: -0.1067467274976083, and quantile values: 0.25 -0.602371\n0.50 -0.106747\n0.75 0.386016\nName: 2431, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1351298137513863, std values: 0.9556102957808638, min values: -2.622709665346679, max values: 3.247416277295021, median values: -0.0630987036049986, and quantile values: 0.25 -0.699350\n0.50 -0.063099\n0.75 0.482788\nName: 2432, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.036942008968807054, std values: 0.8307323614855062, min values: -2.169311742921253, max values: 6.0, median values: 0.0611806088184037, and quantile values: 0.25 -0.498979\n0.50 0.061181\n0.75 0.527152\nName: 2433, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2293169076651444, std values: 0.972790019768885, min values: -2.679056533720636, max values: 5.0, median values: -0.2491689979337809, and quantile values: 0.25 -0.870520\n0.50 -0.249169\n0.75 0.449754\nName: 2434, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35890062188567395, std values: 0.8025035820567585, min values: -2.108828940494985, max values: 3.0932086550988465, median values: 0.3943236257525502, and quantile values: 0.25 -0.156872\n0.50 0.394324\n0.75 0.871522\nName: 2435, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10125484834584797, std values: 1.158375353427228, min values: -2.732564679617164, max values: 3.319774799707247, median values: -0.2284614017230974, and quantile values: 0.25 -1.044668\n0.50 -0.228461\n0.75 0.607717\nName: 2436, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3899649207700785, std values: 1.1164094006776926, min values: -2.5953860446419177, max values: 5.0, median values: 0.4844431058991755, and quantile values: 0.25 -0.406442\n0.50 0.484443\n0.75 1.237066\nName: 2437, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5362316686235994, std values: 0.9351216834518928, min values: -2.3922473154067863, max values: 5.0, median values: -0.6671641972100255, and quantile values: 0.25 -1.276240\n0.50 -0.667164\n0.75 0.061175\nName: 2438, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4640332342597374, std values: 0.8951852642614184, min values: -2.6899145007874274, max values: 3.434669824302974, median values: 0.5407529258811945, and quantile values: 0.25 -0.163483\n0.50 0.540753\n0.75 1.119129\nName: 2439, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3052127187726167, std values: 0.8655086784927034, min values: -2.8531572940820533, max values: 3.9905524164385566, median values: -0.34578207604951, and quantile values: 0.25 -0.906799\n0.50 -0.345782\n0.75 0.193467\nName: 2440, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44878890489481443, std values: 0.8095502825493633, min values: -2.169311742921253, max values: 6.0, median values: 0.4867300055437373, and quantile values: 0.25 -0.068489\n0.50 0.486730\n0.75 0.975234\nName: 2441, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4597331336717803, std values: 0.8344577592027885, min values: -2.1227739687253626, max values: 3.0097288687560817, median values: -0.5466826268015763, and quantile values: 0.25 -1.077913\n0.50 -0.546683\n0.75 0.056090\nName: 2442, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40781966569688594, std values: 1.0578166402476987, min values: -2.679056533720636, max values: 5.0, median values: 0.4766084599930656, and quantile values: 0.25 -0.094601\n0.50 0.476608\n0.75 1.119129\nName: 2443, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.709530311690521, std values: 1.0832176203904826, min values: -2.8282523283494294, max values: 4.0, median values: 0.6486451155313837, and quantile values: 0.25 -0.031676\n0.50 0.648645\n0.75 1.447123\nName: 2444, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10989803358198415, std values: 0.8274531145219315, min values: -2.179853905073574, max values: 6.0, median values: -0.2478908585846744, and quantile values: 0.25 -0.692536\n0.50 -0.247891\n0.75 0.413237\nName: 2445, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10506469421321321, std values: 0.8759790310773351, min values: -2.62876542141649, max values: 3.1227871431249503, median values: 0.1906501287662394, and quantile values: 0.25 -0.506166\n0.50 0.190650\n0.75 0.731471\nName: 2446, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05851818960641135, std values: 0.9486631393297885, min values: -2.029837683040523, max values: 3.627976272701048, median values: -0.1910392577381114, and quantile values: 0.25 -0.773269\n0.50 -0.191039\n0.75 0.519915\nName: 2447, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16725455352175048, std values: 0.9346344014348963, min values: -3.28024538647024, max values: 3.405671179043623, median values: 0.205738924120128, and quantile values: 0.25 -0.431497\n0.50 0.205739\n0.75 0.785598\nName: 2448, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27669516136079486, std values: 0.8840515385998745, min values: -2.58513369695146, max values: 4.0, median values: -0.243650445218687, and quantile values: 0.25 -0.882960\n0.50 -0.243650\n0.75 0.292194\nName: 2449, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10302777618571099, std values: 1.0343514280407893, min values: -2.6270253558526173, max values: 4.0, median values: 0.0142383059239759, and quantile values: 0.25 -0.751211\n0.50 0.014238\n0.75 0.595923\nName: 2450, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10243329518930709, std values: 0.7993037521453646, min values: -2.732564679617164, max values: 3.405671179043623, median values: -0.1775971110313728, and quantile values: 0.25 -0.692789\n0.50 -0.177597\n0.75 0.439604\nName: 2451, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6916185763675865, std values: 0.8690803762220848, min values: -2.0595468593293136, max values: 5.0, median values: 0.7792401257996624, and quantile values: 0.25 0.099547\n0.50 0.779240\n0.75 1.332568\nName: 2452, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3365922909193209, std values: 0.9299566535043766, min values: -2.642042398333877, max values: 3.784832159836258, median values: -0.4332613586554482, and quantile values: 0.25 -0.914218\n0.50 -0.433261\n0.75 0.216119\nName: 2453, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10285445938094144, std values: 0.74339782571547, min values: -2.1112064782498527, max values: 4.026668017837955, median values: -0.1280224442812409, and quantile values: 0.25 -0.624565\n0.50 -0.128022\n0.75 0.350195\nName: 2454, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2736538126816318, std values: 0.93880839573981, min values: -2.7510671817729784, max values: 6.0, median values: 0.3135007621997818, and quantile values: 0.25 -0.292383\n0.50 0.313501\n0.75 0.856191\nName: 2455, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24913833640112992, std values: 0.9158548890495977, min values: -2.684072796644972, max values: 6.0, median values: 0.2872253288020398, and quantile values: 0.25 -0.232393\n0.50 0.287225\n0.75 0.804144\nName: 2456, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2736884324177597, std values: 0.9091394996145536, min values: -2.3051489257282016, max values: 5.0, median values: 0.3806381560251626, and quantile values: 0.25 -0.378063\n0.50 0.380638\n0.75 0.983829\nName: 2457, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33150572234590925, std values: 1.1203258539454537, min values: -3.045947208515832, max values: 6.0, median values: 0.5962955443972063, and quantile values: 0.25 -0.132659\n0.50 0.596296\n0.75 1.065073\nName: 2458, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12856120815611025, std values: 0.9269551107242445, min values: -3.0960472541202715, max values: 6.0, median values: -0.1360331741554475, and quantile values: 0.25 -0.580252\n0.50 -0.136033\n0.75 0.449074\nName: 2459, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21854826842290428, std values: 0.7146188912147936, min values: -2.104667097879677, max values: 4.0, median values: 0.1919648730014692, and quantile values: 0.25 -0.248288\n0.50 0.191965\n0.75 0.670795\nName: 2460, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.478576363284436, std values: 0.8568156469689252, min values: -2.2012167772695554, max values: 3.721862465295849, median values: 0.6085786200142977, and quantile values: 0.25 -0.107860\n0.50 0.608579\n0.75 1.118511\nName: 2461, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6344554846552936, std values: 0.7960462810256677, min values: -3.0223671288921072, max values: 2.6549369820635493, median values: -0.7884135542281335, and quantile values: 0.25 -1.229511\n0.50 -0.788414\n0.75 -0.162227\nName: 2462, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1343321554958246, std values: 0.8663581942534179, min values: -2.212004168819108, max values: 3.627976272701048, median values: 0.2237934331263977, and quantile values: 0.25 -0.474421\n0.50 0.223793\n0.75 0.803421\nName: 2463, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7311223426978062, std values: 0.822240743638579, min values: -2.842043939794492, max values: 3.518664430018096, median values: 0.7424642469722664, and quantile values: 0.25 0.221987\n0.50 0.742464\n0.75 1.301072\nName: 2464, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11617731680991158, std values: 0.8857591333579783, min values: -2.6404955031131814, max values: 5.0, median values: -0.1040104401071502, and quantile values: 0.25 -0.711146\n0.50 -0.104010\n0.75 0.486721\nName: 2465, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31407584316571296, std values: 1.0629257349040906, min values: -2.7542003929097176, max values: 5.0, median values: -0.1944542545328953, and quantile values: 0.25 -0.981876\n0.50 -0.194454\n0.75 0.366886\nName: 2466, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20787141813795418, std values: 0.9788660243960317, min values: -2.684072796644972, max values: 6.0, median values: -0.2028885435531542, and quantile values: 0.25 -0.895122\n0.50 -0.202889\n0.75 0.456251\nName: 2467, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46918636221512344, std values: 1.059148428237258, min values: -3.0484008792629496, max values: 5.0, median values: -0.4810249145477877, and quantile values: 0.25 -1.087170\n0.50 -0.481025\n0.75 0.236689\nName: 2468, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5374069015511551, std values: 0.8684377439483609, min values: -2.100754849305273, max values: 3.191712471143802, median values: -0.690270381010984, and quantile values: 0.25 -1.234820\n0.50 -0.690270\n0.75 0.015079\nName: 2469, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05378307747683752, std values: 0.8403912644054816, min values: -2.3922473154067863, max values: 5.0, median values: -0.0196367921410571, and quantile values: 0.25 -0.672696\n0.50 -0.019637\n0.75 0.584894\nName: 2470, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3160444263148593, std values: 0.9391491395650938, min values: -2.0600063421362025, max values: 3.258347009006034, median values: 0.33538802106966, and quantile values: 0.25 -0.388334\n0.50 0.335388\n0.75 1.052036\nName: 2471, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.049099027008331735, std values: 0.8613397378982276, min values: -2.0704209263614266, max values: 3.784832159836258, median values: -0.0504182953446309, and quantile values: 0.25 -0.552223\n0.50 -0.050418\n0.75 0.583577\nName: 2472, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.014388586359188982, std values: 0.8205771748353531, min values: -1.9479186976390208, max values: 5.0, median values: -0.1135949123642719, and quantile values: 0.25 -0.656209\n0.50 -0.113595\n0.75 0.515537\nName: 2473, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2350450566879572, std values: 1.042391579276892, min values: -2.7939007019027, max values: 3.455472209455805, median values: -0.2781303077887149, and quantile values: 0.25 -1.072772\n0.50 -0.278130\n0.75 0.537114\nName: 2474, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15204117661078298, std values: 0.8533898603043484, min values: -2.362995617296248, max values: 5.0, median values: -0.2488151866389013, and quantile values: 0.25 -0.794931\n0.50 -0.248815\n0.75 0.395786\nName: 2475, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7526640018777613, std values: 1.1705657352608492, min values: -2.928515832252388, max values: 5.0, median values: -0.6316764340389255, and quantile values: 0.25 -1.848312\n0.50 -0.631676\n0.75 0.086824\nName: 2476, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7354166742855632, std values: 1.329198411660265, min values: -2.92272757463548, max values: 6.0, median values: 0.7418416897839191, and quantile values: 0.25 -0.184108\n0.50 0.741842\n0.75 1.770880\nName: 2477, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23778172108993248, std values: 0.9120238508855184, min values: -2.688157591415518, max values: 5.0, median values: 0.3009284632052677, and quantile values: 0.25 -0.411092\n0.50 0.300928\n0.75 0.909128\nName: 2478, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5259912961083131, std values: 0.8435635372823741, min values: -2.475272102106495, max values: 4.0, median values: 0.6176582800756303, and quantile values: 0.25 -0.011649\n0.50 0.617658\n0.75 1.118782\nName: 2479, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3317542734388485, std values: 0.8766299442700286, min values: -2.6652153608723106, max values: 3.090297571450676, median values: -0.4345077860731992, and quantile values: 0.25 -0.957444\n0.50 -0.434508\n0.75 0.202664\nName: 2480, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5359743801007284, std values: 0.846318274465093, min values: -2.0884920198234647, max values: 3.1106274661862763, median values: 0.5538756401119812, and quantile values: 0.25 -0.062859\n0.50 0.553876\n0.75 1.172537\nName: 2481, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02590094683231303, std values: 1.08655333120458, min values: -2.64479559868397, max values: 6.0, median values: 0.0748020017112001, and quantile values: 0.25 -0.694611\n0.50 0.074802\n0.75 0.670919\nName: 2482, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3020468473604832, std values: 0.7865554594532272, min values: -1.9615643358542445, max values: 6.0, median values: -0.3335634425889964, and quantile values: 0.25 -0.881621\n0.50 -0.333563\n0.75 0.192386\nName: 2483, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4295965727992762, std values: 0.8644916686670413, min values: -2.1269862447630747, max values: 6.0, median values: 0.4761148905805418, and quantile values: 0.25 -0.129521\n0.50 0.476115\n0.75 1.034033\nName: 2484, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10863613933442424, std values: 0.7964735087328331, min values: -2.8531572940820533, max values: 3.0, median values: 0.1295714823167586, and quantile values: 0.25 -0.407964\n0.50 0.129571\n0.75 0.616685\nName: 2485, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10787625527827555, std values: 0.8179163231695711, min values: -2.129556512872566, max values: 4.026668017837955, median values: -0.185825189575962, and quantile values: 0.25 -0.716048\n0.50 -0.185825\n0.75 0.437809\nName: 2486, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19156801035293253, std values: 1.1825359081237097, min values: -2.5879430435308, max values: 3.627976272701048, median values: 0.375254924837505, and quantile values: 0.25 -0.473895\n0.50 0.375255\n0.75 1.112355\nName: 2487, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1658054354018554, std values: 0.8255892096116639, min values: -2.87684958111886, max values: 2.8436102010648283, median values: -0.2286247014253042, and quantile values: 0.25 -0.710153\n0.50 -0.228625\n0.75 0.372479\nName: 2488, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4618824193525825, std values: 1.0555359304611784, min values: -2.8563982925340614, max values: 5.0, median values: 0.5238148491723084, and quantile values: 0.25 -0.339353\n0.50 0.523815\n0.75 1.314186\nName: 2489, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23439469377264574, std values: 0.8405206153662997, min values: -2.8998169811239416, max values: 2.9166889260756235, median values: -0.2818663731346503, and quantile values: 0.25 -0.844096\n0.50 -0.281866\n0.75 0.258640\nName: 2490, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49836548244448164, std values: 0.9241617858418376, min values: -2.9898739724800576, max values: 3.124705982383484, median values: -0.6236280325998947, and quantile values: 0.25 -1.197530\n0.50 -0.623628\n0.75 0.019760\nName: 2491, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07054600796902055, std values: 0.8208939269595106, min values: -2.475272102106495, max values: 4.0, median values: -0.0765085631976915, and quantile values: 0.25 -0.651392\n0.50 -0.076509\n0.75 0.497561\nName: 2492, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7460050389044137, std values: 1.1618372677623474, min values: -2.589966702820638, max values: 6.0, median values: 0.6708298733736635, and quantile values: 0.25 -0.129049\n0.50 0.670830\n0.75 1.648701\nName: 2493, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19739386880286328, std values: 1.0243592580275651, min values: -2.740813841730953, max values: 3.627976272701048, median values: -0.1824919642496793, and quantile values: 0.25 -0.846892\n0.50 -0.182492\n0.75 0.481056\nName: 2494, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.016821135665972025, std values: 0.7711602599230745, min values: -1.9488996912269427, max values: 3.216771431244405, median values: -0.0464111884887551, and quantile values: 0.25 -0.510077\n0.50 -0.046411\n0.75 0.466790\nName: 2495, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22891603067224925, std values: 0.8966155555660448, min values: -2.3693280795972, max values: 5.0, median values: -0.2496519564179375, and quantile values: 0.25 -0.905330\n0.50 -0.249652\n0.75 0.395633\nName: 2496, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.039044719794671584, std values: 0.7835822617193976, min values: -2.9797100147087465, max values: 5.0, median values: 0.0858276044584302, and quantile values: 0.25 -0.464028\n0.50 0.085828\n0.75 0.528456\nName: 2497, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39423189521776963, std values: 0.7948351781992956, min values: -2.0448450331041528, max values: 4.0, median values: 0.4668203244729448, and quantile values: 0.25 -0.157296\n0.50 0.466820\n0.75 0.947561\nName: 2498, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20335866485468487, std values: 0.839233078072461, min values: -2.4823451998031074, max values: 3.784832159836258, median values: 0.3018930440030128, and quantile values: 0.25 -0.238898\n0.50 0.301893\n0.75 0.735663\nName: 2499, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5094668465392858, std values: 1.0707927009130198, min values: -2.6660404517971856, max values: 4.0, median values: -0.4842737452443729, and quantile values: 0.25 -1.328063\n0.50 -0.484274\n0.75 0.195755\nName: 2500, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13495724252725907, std values: 0.9172826146686068, min values: -2.5820330744015787, max values: 4.0, median values: -0.2217708677182228, and quantile values: 0.25 -0.757046\n0.50 -0.221771\n0.75 0.445733\nName: 2501, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0628459496249593, std values: 0.9261492292566349, min values: -2.306686707683535, max values: 3.281452258958016, median values: -0.1724483848844284, and quantile values: 0.25 -0.782415\n0.50 -0.172448\n0.75 0.576976\nName: 2502, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16696052173263856, std values: 1.054338898787318, min values: -2.769191083399913, max values: 3.0, median values: -0.0105175483905243, and quantile values: 0.25 -0.844686\n0.50 -0.010518\n0.75 0.585147\nName: 2503, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26048361160782635, std values: 1.021542959275033, min values: -2.7848311615169594, max values: 6.0, median values: -0.4273240761937173, and quantile values: 0.25 -1.074497\n0.50 -0.427324\n0.75 0.450270\nName: 2504, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.9059161892347248, std values: 0.9150787521390658, min values: -2.196708653609315, max values: 6.0, median values: 1.0034998376318576, and quantile values: 0.25 0.275049\n0.50 1.003500\n0.75 1.573984\nName: 2505, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15550188245953755, std values: 0.8462202288868992, min values: -2.3184884946917497, max values: 6.0, median values: 0.1011035641842198, and quantile values: 0.25 -0.396527\n0.50 0.101104\n0.75 0.659834\nName: 2506, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4892262740663929, std values: 1.0589855452287975, min values: -3.447534482420193, max values: 4.026668017837955, median values: 0.6595255591023146, and quantile values: 0.25 -0.172149\n0.50 0.659526\n0.75 1.270339\nName: 2507, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.941867013857671, std values: 1.5533221693706647, min values: -2.928515832252388, max values: 5.0, median values: -1.7856279062665308, and quantile values: 0.25 -2.200152\n0.50 -1.785628\n0.75 0.298061\nName: 2508, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3127842201366985, std values: 1.0518236738249962, min values: -3.1386665508340674, max values: 3.17157439250477, median values: -0.3496976866516454, and quantile values: 0.25 -1.145701\n0.50 -0.349698\n0.75 0.441375\nName: 2509, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2940728936657152, std values: 0.783884583164599, min values: -2.745904427753044, max values: 5.0, median values: -0.4083228098920692, and quantile values: 0.25 -0.879549\n0.50 -0.408323\n0.75 0.187234\nName: 2510, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5003930842621228, std values: 1.1527461586014034, min values: -2.688157591415518, max values: 3.5427287984042666, median values: 0.728648670671953, and quantile values: 0.25 -0.126688\n0.50 0.728649\n0.75 1.258967\nName: 2511, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03861082926299781, std values: 0.8011447077870115, min values: -2.226424194672579, max values: 4.0, median values: -0.1136510815328995, and quantile values: 0.25 -0.613973\n0.50 -0.113651\n0.75 0.494362\nName: 2512, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1682869839613734, std values: 0.8923389335373003, min values: -2.810662060852592, max values: 2.938308831530802, median values: -0.1998533779183028, and quantile values: 0.25 -0.873216\n0.50 -0.199853\n0.75 0.452618\nName: 2513, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14540899865927098, std values: 1.006733423069606, min values: -2.212004168819108, max values: 3.216771431244405, median values: -0.2369848546571588, and quantile values: 0.25 -0.975732\n0.50 -0.236985\n0.75 0.539374\nName: 2514, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.031320909719999866, std values: 0.7509998194230979, min values: -2.9898739724800576, max values: 3.176672644814091, median values: -0.0133569639889469, and quantile values: 0.25 -0.459424\n0.50 -0.013357\n0.75 0.495556\nName: 2515, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35062588175380666, std values: 1.0004898273644554, min values: -2.841647375415054, max values: 5.0, median values: -0.4468893485513378, and quantile values: 0.25 -1.211985\n0.50 -0.446889\n0.75 0.344345\nName: 2516, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2616556577681894, std values: 0.81095531195335, min values: -2.6404955031131814, max values: 6.0, median values: -0.2938633553014001, and quantile values: 0.25 -0.787723\n0.50 -0.293863\n0.75 0.178341\nName: 2517, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0061884484887088365, std values: 0.7700519513060772, min values: -2.0889107352751046, max values: 4.0, median values: 0.0267101656918648, and quantile values: 0.25 -0.523002\n0.50 0.026710\n0.75 0.511269\nName: 2518, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.025101735137897187, std values: 0.7330798720410939, min values: -2.5689076212724418, max values: 5.0, median values: 0.0053426521500555, and quantile values: 0.25 -0.436093\n0.50 0.005343\n0.75 0.494888\nName: 2519, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19605005516521304, std values: 0.9161232659819867, min values: -2.7825548156447035, max values: 6.0, median values: -0.3456064477004232, and quantile values: 0.25 -0.896790\n0.50 -0.345606\n0.75 0.415007\nName: 2520, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1011963984239878, std values: 0.7540586709462899, min values: -2.300042081328127, max values: 4.0, median values: 0.0376350135583769, and quantile values: 0.25 -0.417259\n0.50 0.037635\n0.75 0.561001\nName: 2521, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01673743604327018, std values: 0.7593701576762693, min values: -2.1103582417935702, max values: 2.9325508639431663, median values: 0.0085923714007177, and quantile values: 0.25 -0.472417\n0.50 0.008592\n0.75 0.494580\nName: 2522, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10781390298891277, std values: 0.7632185188851478, min values: -2.536941606705235, max values: 4.0, median values: -0.1442261307919138, and quantile values: 0.25 -0.594520\n0.50 -0.144226\n0.75 0.316123\nName: 2523, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.028040221375350154, std values: 0.8017284164614839, min values: -2.564449278715455, max values: 3.0651860794139534, median values: 0.0067747228352543, and quantile values: 0.25 -0.476909\n0.50 0.006775\n0.75 0.439871\nName: 2524, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20325070494929504, std values: 0.9583596609992151, min values: -2.724017888297919, max values: 3.784832159836258, median values: -0.2727787580790372, and quantile values: 0.25 -0.883977\n0.50 -0.272779\n0.75 0.409610\nName: 2525, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2610322123764104, std values: 0.9114834441545219, min values: -2.087432639025188, max values: 4.0, median values: 0.3016626405952177, and quantile values: 0.25 -0.392568\n0.50 0.301663\n0.75 0.967774\nName: 2526, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16693495241552267, std values: 0.8879289725579997, min values: -2.541693081833126, max values: 3.455472209455805, median values: 0.1502394561520483, and quantile values: 0.25 -0.414181\n0.50 0.150239\n0.75 0.740933\nName: 2527, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18401359581313043, std values: 1.662993399646145, min values: -3.05087304133376, max values: 5.0, median values: -0.2658512535968726, and quantile values: 0.25 -1.754013\n0.50 -0.265851\n0.75 1.163390\nName: 2528, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4884418750859362, std values: 0.863832626772957, min values: -2.245752867605861, max values: 3.569037956734876, median values: 0.5703085122720702, and quantile values: 0.25 -0.071247\n0.50 0.570309\n0.75 1.096041\nName: 2529, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17842565303065677, std values: 0.75098029165679, min values: -2.0744709221036657, max values: 6.0, median values: 0.1964537488763692, and quantile values: 0.25 -0.290958\n0.50 0.196454\n0.75 0.645759\nName: 2530, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0988388602024277, std values: 0.8865697379564903, min values: -2.142854198138545, max values: 5.0, median values: 0.0301622004598461, and quantile values: 0.25 -0.522297\n0.50 0.030162\n0.75 0.654946\nName: 2531, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10004688170488465, std values: 0.8870983225192376, min values: -2.148081053432388, max values: 4.0, median values: 0.0534792878139312, and quantile values: 0.25 -0.495140\n0.50 0.053479\n0.75 0.677059\nName: 2532, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08632989084294469, std values: 0.9384877179468547, min values: -2.810662060852592, max values: 3.9905524164385566, median values: -0.1078599465632326, and quantile values: 0.25 -0.815420\n0.50 -0.107860\n0.75 0.580525\nName: 2533, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14983337214873177, std values: 1.0808084804828502, min values: -2.687115288423959, max values: 5.0, median values: 0.0576054966416161, and quantile values: 0.25 -0.698261\n0.50 0.057605\n0.75 1.018043\nName: 2534, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4569461406520118, std values: 0.8840452630798568, min values: -2.2915911556076085, max values: 3.17157439250477, median values: 0.4978552696597675, and quantile values: 0.25 -0.111312\n0.50 0.497855\n0.75 1.033272\nName: 2535, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41517661824793384, std values: 0.7982937526335936, min values: -2.783691185534105, max values: 3.455472209455805, median values: 0.4891260018530626, and quantile values: 0.25 -0.113512\n0.50 0.489126\n0.75 0.954096\nName: 2536, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4729815785761171, std values: 0.8673509940910552, min values: -2.9029979285382743, max values: 6.0, median values: -0.5723762880865346, and quantile values: 0.25 -1.117854\n0.50 -0.572376\n0.75 0.015533\nName: 2537, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6050905371976981, std values: 1.8207473227897086, min values: -3.05087304133376, max values: 5.0, median values: -1.5904592819125394, and quantile values: 0.25 -2.154875\n0.50 -1.590459\n0.75 0.880854\nName: 2538, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3963513776596064, std values: 0.768648912409732, min values: -2.634919142586459, max values: 6.0, median values: -0.4287338861085974, and quantile values: 0.25 -0.832148\n0.50 -0.428734\n0.75 0.033851\nName: 2539, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06007819437689947, std values: 0.868628160604334, min values: -3.447534482420193, max values: 3.3760121766849016, median values: 0.0299948089787957, and quantile values: 0.25 -0.508639\n0.50 0.029995\n0.75 0.464733\nName: 2540, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05149599029442765, std values: 0.806274345863504, min values: -2.584593648802428, max values: 3.1106274661862763, median values: -0.1306202381745917, and quantile values: 0.25 -0.600785\n0.50 -0.130620\n0.75 0.427195\nName: 2541, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.320069872572873, std values: 1.1167022470135477, min values: -2.860922438481449, max values: 4.278004674434932, median values: 0.2279745735047017, and quantile values: 0.25 -0.351425\n0.50 0.227975\n0.75 0.954048\nName: 2542, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16989325756198173, std values: 0.72190389443011, min values: -2.0211405625505043, max values: 5.0, median values: -0.1686761019760907, and quantile values: 0.25 -0.674238\n0.50 -0.168676\n0.75 0.281301\nName: 2543, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07585702335437776, std values: 0.7369625577489813, min values: -2.419659473655063, max values: 4.0, median values: -0.0185625629598434, and quantile values: 0.25 -0.420627\n0.50 -0.018563\n0.75 0.553573\nName: 2544, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2945221734957653, std values: 0.9560901144245529, min values: -2.56026492390943, max values: 4.0, median values: 0.3765859115073728, and quantile values: 0.25 -0.329305\n0.50 0.376586\n0.75 1.035539\nName: 2545, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34990060853808397, std values: 0.8373517699927152, min values: -2.04551391420568, max values: 5.0, median values: -0.4739980055681593, and quantile values: 0.25 -0.964480\n0.50 -0.473998\n0.75 0.193929\nName: 2546, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02765555787578203, std values: 0.9730832007412948, min values: -2.589966702820638, max values: 6.0, median values: -0.06558546937273, and quantile values: 0.25 -0.629023\n0.50 -0.065585\n0.75 0.531587\nName: 2547, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07669481173404044, std values: 0.796617140826298, min values: -2.3247870347866613, max values: 5.0, median values: 0.0880102084185761, and quantile values: 0.25 -0.484398\n0.50 0.088010\n0.75 0.621467\nName: 2548, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0540700291074365, std values: 0.8020743578968317, min values: -2.083073092108871, max values: 3.1995118554872866, median values: -0.0402367811797116, and quantile values: 0.25 -0.626977\n0.50 -0.040237\n0.75 0.499541\nName: 2549, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01906837747767812, std values: 0.769919241509321, min values: -2.730840794324401, max values: 3.867701659180865, median values: 0.0278182936721859, and quantile values: 0.25 -0.516806\n0.50 0.027818\n0.75 0.504394\nName: 2550, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.056865665704508274, std values: 0.8007961125143626, min values: -2.5213149333948146, max values: 3.667275230673496, median values: 0.0223601043310177, and quantile values: 0.25 -0.458741\n0.50 0.022360\n0.75 0.535016\nName: 2551, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10704827123988535, std values: 0.8674116454496851, min values: -2.58513369695146, max values: 4.243835016543704, median values: -0.0541963484199939, and quantile values: 0.25 -0.670593\n0.50 -0.054196\n0.75 0.451140\nName: 2552, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6421740002841022, std values: 0.9430375634606273, min values: -2.6820581866633817, max values: 3.0418703198091483, median values: -0.7599469252007007, and quantile values: 0.25 -1.307268\n0.50 -0.759947\n0.75 -0.105617\nName: 2553, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06962184325270068, std values: 0.9405360082377935, min values: -2.17105492102825, max values: 5.0, median values: -0.1723413102529414, and quantile values: 0.25 -0.731302\n0.50 -0.172341\n0.75 0.557652\nName: 2554, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3134797729691956, std values: 0.8760982653559152, min values: -2.209283142861864, max values: 6.0, median values: -0.4235167782793829, and quantile values: 0.25 -0.961376\n0.50 -0.423517\n0.75 0.216683\nName: 2555, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07760062603375649, std values: 0.7761714152148645, min values: -2.580492024304656, max values: 3.071284484560209, median values: -0.0115392282486032, and quantile values: 0.25 -0.598522\n0.50 -0.011539\n0.75 0.398733\nName: 2556, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36211470328779843, std values: 1.0369424303190569, min values: -2.64515528905034, max values: 3.362228250221886, median values: -0.4198783976826429, and quantile values: 0.25 -1.277522\n0.50 -0.419878\n0.75 0.367289\nName: 2557, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22118215097682703, std values: 0.8045020981626709, min values: -2.109338159609067, max values: 3.5427287984042666, median values: -0.324831340543799, and quantile values: 0.25 -0.782962\n0.50 -0.324831\n0.75 0.268415\nName: 2558, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.020107414207348476, std values: 0.8472717177342033, min values: -2.1730882470106176, max values: 3.518664430018096, median values: -0.0315928468039688, and quantile values: 0.25 -0.546068\n0.50 -0.031593\n0.75 0.528798\nName: 2559, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5379444756773962, std values: 0.9754350333883015, min values: -1.9568716735075489, max values: 4.0, median values: 0.5684949006914213, and quantile values: 0.25 -0.155023\n0.50 0.568495\n0.75 1.187235\nName: 2560, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13475760167419915, std values: 0.8835308561555256, min values: -2.093800662299286, max values: 4.0, median values: -0.2605092905162281, and quantile values: 0.25 -0.798411\n0.50 -0.260509\n0.75 0.445429\nName: 2561, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.184219261821689, std values: 1.1914865757020079, min values: -2.769191083399913, max values: 3.784832159836258, median values: 0.0002478538200686, and quantile values: 0.25 -0.746962\n0.50 0.000248\n0.75 0.605599\nName: 2562, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5845747088390955, std values: 0.9455298357920425, min values: -2.589966702820638, max values: 6.0, median values: 0.6943300019190091, and quantile values: 0.25 -0.067357\n0.50 0.694330\n0.75 1.250315\nName: 2563, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7707634467752387, std values: 1.103893987870168, min values: -2.960014365184806, max values: 6.0, median values: -0.8694847948908762, and quantile values: 0.25 -1.559260\n0.50 -0.869485\n0.75 -0.049819\nName: 2564, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17923328934875685, std values: 0.8277972797034602, min values: -2.0211405625505043, max values: 5.0, median values: 0.1849286586518362, and quantile values: 0.25 -0.390679\n0.50 0.184929\n0.75 0.673466\nName: 2565, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06672223246837349, std values: 0.8293704499431609, min values: -2.399332889901072, max values: 3.0, median values: -0.1214959841489997, and quantile values: 0.25 -0.672281\n0.50 -0.121496\n0.75 0.489141\nName: 2566, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3227831904695318, std values: 0.7591954950331639, min values: -2.72346435408924, max values: 4.0, median values: 0.3203347697696913, and quantile values: 0.25 -0.157262\n0.50 0.320335\n0.75 0.807382\nName: 2567, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3686930181445022, std values: 0.817192240119394, min values: -2.209826040384377, max values: 3.4217036547572275, median values: 0.385149918148336, and quantile values: 0.25 -0.144560\n0.50 0.385150\n0.75 0.900832\nName: 2568, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3360954257394913, std values: 0.8012213825413966, min values: -2.419133598913117, max values: 3.241738645014612, median values: 0.3591615351407358, and quantile values: 0.25 -0.152301\n0.50 0.359162\n0.75 0.853931\nName: 2569, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07334176773852849, std values: 0.7723750730865475, min values: -1.9145140322412408, max values: 3.630507857092792, median values: -0.1356992229656261, and quantile values: 0.25 -0.619652\n0.50 -0.135699\n0.75 0.395604\nName: 2570, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2038004503230066, std values: 0.8046014498453881, min values: -1.9811722310795352, max values: 3.2696814875916886, median values: 0.2527662998395689, and quantile values: 0.25 -0.349142\n0.50 0.252766\n0.75 0.733993\nName: 2571, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09250610984538149, std values: 0.870204715754348, min values: -2.841647375415054, max values: 5.0, median values: -0.0304631912582885, and quantile values: 0.25 -0.507375\n0.50 -0.030463\n0.75 0.606161\nName: 2572, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16295288876027006, std values: 1.1559835637352418, min values: -2.739804196611005, max values: 6.0, median values: -0.3299451047210354, and quantile values: 0.25 -1.074244\n0.50 -0.329945\n0.75 0.646782\nName: 2573, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0065727426314103315, std values: 0.825686480676184, min values: -2.525362520654854, max values: 5.0, median values: -0.0681298513286784, and quantile values: 0.25 -0.565458\n0.50 -0.068130\n0.75 0.494020\nName: 2574, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13170164049428723, std values: 1.1010008459700344, min values: -3.242093130849769, max values: 3.017846660960028, median values: 0.0680489514794178, and quantile values: 0.25 -0.821232\n0.50 0.068049\n0.75 0.623963\nName: 2575, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.756218736335232, std values: 0.853482522279576, min values: -2.0754191617391693, max values: 6.0, median values: 0.7602410274575344, and quantile values: 0.25 0.226109\n0.50 0.760241\n0.75 1.286716\nName: 2576, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22797367533651358, std values: 1.5030463168571886, min values: -2.7211321814067784, max values: 3.518664430018096, median values: -0.002671316543776, and quantile values: 0.25 -1.853197\n0.50 -0.002671\n0.75 0.893677\nName: 2577, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18841983694987868, std values: 0.7194617669809494, min values: -2.040629887786797, max values: 3.5581019918925243, median values: -0.2527662998395691, and quantile values: 0.25 -0.670356\n0.50 -0.252766\n0.75 0.231495\nName: 2578, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20701578947890675, std values: 0.9487294241578488, min values: -2.933035609461076, max values: 5.0, median values: -0.1601678260398332, and quantile values: 0.25 -0.877362\n0.50 -0.160168\n0.75 0.504439\nName: 2579, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3979519211129411, std values: 0.820754628463511, min values: -1.947797115129811, max values: 2.924424129075884, median values: 0.4574814275921533, and quantile values: 0.25 -0.125828\n0.50 0.457481\n0.75 0.905512\nName: 2580, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.009593250679966667, std values: 0.8224195754438627, min values: -2.461308921153724, max values: 3.0, median values: -0.103595118878262, and quantile values: 0.25 -0.572870\n0.50 -0.103595\n0.75 0.499943\nName: 2581, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6475510139385594, std values: 0.9234454258118969, min values: -2.1615535666033687, max values: 4.278004674434932, median values: 0.755227980429877, and quantile values: 0.25 -0.003442\n0.50 0.755228\n0.75 1.372684\nName: 2582, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4121241176746959, std values: 1.0189844204867766, min values: -2.6320986139293034, max values: 3.0, median values: 0.5568479934692426, and quantile values: 0.25 -0.220875\n0.50 0.556848\n0.75 1.183988\nName: 2583, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8538841712813643, std values: 1.736869769353889, min values: -2.944950884974346, max values: 4.278004674434932, median values: 1.1994706793201522, and quantile values: 0.25 -0.132551\n0.50 1.199471\n0.75 2.225017\nName: 2584, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05424596376362124, std values: 0.7698590342552224, min values: -1.977851103049078, max values: 4.0, median values: 0.0435958319802079, and quantile values: 0.25 -0.446696\n0.50 0.043596\n0.75 0.527044\nName: 2585, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2140685266488681, std values: 0.796789460464305, min values: -2.732564679617164, max values: 3.306454397423372, median values: -0.3381144734698709, and quantile values: 0.25 -0.776460\n0.50 -0.338114\n0.75 0.278474\nName: 2586, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02032741824349554, std values: 0.793025220288509, min values: -2.4737574649270093, max values: 3.0, median values: -0.0443252649584688, and quantile values: 0.25 -0.526691\n0.50 -0.044325\n0.75 0.553539\nName: 2587, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05760927171541136, std values: 1.072089291101613, min values: -2.807209974165368, max values: 6.0, median values: 0.1126810137707283, and quantile values: 0.25 -0.678992\n0.50 0.112681\n0.75 0.788658\nName: 2588, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3394985311798732, std values: 0.8154087689737465, min values: -2.064161388650449, max values: 4.243835016543704, median values: 0.4372329302337932, and quantile values: 0.25 -0.238587\n0.50 0.437233\n0.75 0.943963\nName: 2589, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44549625360450773, std values: 0.9119128579763401, min values: -2.525362520654854, max values: 5.0, median values: -0.582120122568432, and quantile values: 0.25 -1.185676\n0.50 -0.582120\n0.75 0.135222\nName: 2590, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17078978829061886, std values: 1.2106513305955993, min values: -2.607565022042742, max values: 4.0, median values: 0.2156224037153588, and quantile values: 0.25 -0.784086\n0.50 0.215622\n0.75 1.115120\nName: 2591, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4831739072679839, std values: 0.8077166717170458, min values: -2.841647375415054, max values: 5.0, median values: -0.5108458865783294, and quantile values: 0.25 -1.047566\n0.50 -0.510846\n0.75 0.024375\nName: 2592, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0527308464127042, std values: 0.7528870267691168, min values: -1.9691636626304043, max values: 5.0, median values: -0.0691788144625064, and quantile values: 0.25 -0.533904\n0.50 -0.069179\n0.75 0.369770\nName: 2593, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.2161461207629474, std values: 1.6423961357151386, min values: -2.9622221028070275, max values: 4.0, median values: -1.9765997022222304, and quantile values: 0.25 -2.313309\n0.50 -1.976600\n0.75 0.179446\nName: 2594, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0609593458726249, std values: 1.003801839576352, min values: -2.7542003929097176, max values: 5.0, median values: 0.0538102354236853, and quantile values: 0.25 -0.728308\n0.50 0.053810\n0.75 0.630164\nName: 2595, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1304255832434375, std values: 0.9668752978058672, min values: -2.0864604194430334, max values: 5.0, median values: 0.1031819665589419, and quantile values: 0.25 -0.640386\n0.50 0.103182\n0.75 0.930951\nName: 2596, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3742367228768451, std values: 0.8565721959944782, min values: -2.083555534231988, max values: 3.434669824302974, median values: -0.4736806965193778, and quantile values: 0.25 -1.054588\n0.50 -0.473681\n0.75 0.189206\nName: 2597, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.153051258820111, std values: 0.9050355109782304, min values: -2.167861924624162, max values: 3.397048482165858, median values: -0.2543039067627243, and quantile values: 0.25 -0.802736\n0.50 -0.254304\n0.75 0.470325\nName: 2598, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4149673512372946, std values: 0.7771791841563351, min values: -2.5631847770497496, max values: 4.0, median values: -0.5452995252198828, and quantile values: 0.25 -0.990861\n0.50 -0.545300\n0.75 0.088461\nName: 2599, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.650712804374575, std values: 1.1434143661885419, min values: -2.5743883495350026, max values: 5.0, median values: 0.8590125518532056, and quantile values: 0.25 -0.022667\n0.50 0.859013\n0.75 1.447611\nName: 2600, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11918869660169824, std values: 0.7465703334238334, min values: -2.507084845405409, max values: 3.0, median values: -0.0967211780827191, and quantile values: 0.25 -0.647286\n0.50 -0.096721\n0.75 0.348615\nName: 2601, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09350753029203233, std values: 0.7962282593891863, min values: -2.5046447434119337, max values: 4.0, median values: 0.0734582808001298, and quantile values: 0.25 -0.435859\n0.50 0.073458\n0.75 0.571680\nName: 2602, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.108623223326087, std values: 1.2295531282229237, min values: -2.727901130262228, max values: 4.0, median values: -1.6853971523502134, and quantile values: 0.25 -2.140874\n0.50 -1.685397\n0.75 -0.037655\nName: 2603, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38528365174672097, std values: 0.8845889430638273, min values: -2.130013130592229, max values: 3.397048482165858, median values: -0.4868144849651875, and quantile values: 0.25 -1.084168\n0.50 -0.486814\n0.75 0.190759\nName: 2604, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04503680479562099, std values: 0.8351954511797055, min values: -2.427972938367017, max values: 6.0, median values: 0.1138327904299323, and quantile values: 0.25 -0.538456\n0.50 0.113833\n0.75 0.612793\nName: 2605, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4419675547784408, std values: 0.9036718076684301, min values: -2.0297074151331134, max values: 4.278004674434932, median values: 0.4299408339646302, and quantile values: 0.25 -0.234239\n0.50 0.429941\n0.75 1.150315\nName: 2606, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13368025587079907, std values: 0.8136144911266979, min values: -2.584593648802428, max values: 3.2701555622463814, median values: 0.2048286543625993, and quantile values: 0.25 -0.409087\n0.50 0.204829\n0.75 0.639529\nName: 2607, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20782675258353103, std values: 1.0539501751976756, min values: -2.5563022890751474, max values: 4.0, median values: -0.271047307692247, and quantile values: 0.25 -1.024026\n0.50 -0.271047\n0.75 0.518103\nName: 2608, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04030886304994912, std values: 0.790525364922799, min values: -2.5879430435308, max values: 3.3337116327022187, median values: 0.1218293251299328, and quantile values: 0.25 -0.496853\n0.50 0.121829\n0.75 0.600875\nName: 2609, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28452624341646804, std values: 1.0121490192167293, min values: -2.5501488616953263, max values: 3.5581019918925243, median values: 0.2365230357212055, and quantile values: 0.25 -0.485141\n0.50 0.236523\n0.75 1.055412\nName: 2610, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5020499900881612, std values: 0.898401342534805, min values: -2.788272971802125, max values: 3.0, median values: -0.6111989217021065, and quantile values: 0.25 -1.085259\n0.50 -0.611199\n0.75 0.019618\nName: 2611, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20008924979481338, std values: 0.8533667431196691, min values: -2.3219187596855773, max values: 4.0, median values: 0.2765092799829676, and quantile values: 0.25 -0.417118\n0.50 0.276509\n0.75 0.797722\nName: 2612, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.040958123021028234, std values: 0.9583511573482926, min values: -2.8680719719444903, max values: 3.191712471143802, median values: -0.1385621567845301, and quantile values: 0.25 -0.648611\n0.50 -0.138562\n0.75 0.548923\nName: 2613, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24539745671850433, std values: 1.1117017755455956, min values: -2.620939317041317, max values: 4.0, median values: -0.2372036286316345, and quantile values: 0.25 -1.188574\n0.50 -0.237204\n0.75 0.574744\nName: 2614, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.501495586017121, std values: 1.0336270516378134, min values: -2.7542003929097176, max values: 5.0, median values: 0.5470664020424301, and quantile values: 0.25 -0.195781\n0.50 0.547066\n0.75 1.294238\nName: 2615, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.263657042245286, std values: 0.9778741788659673, min values: -2.56026492390943, max values: 4.0, median values: 0.2313676121424659, and quantile values: 0.25 -0.414284\n0.50 0.231368\n0.75 0.938240\nName: 2616, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2989517571306209, std values: 1.021267722381523, min values: -2.641174291463747, max values: 6.0, median values: 0.4215567984806013, and quantile values: 0.25 -0.398763\n0.50 0.421557\n0.75 1.080282\nName: 2617, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05170903472347829, std values: 1.008296427743596, min values: -2.8282523283494294, max values: 3.141939528112806, median values: 0.2017079807955265, and quantile values: 0.25 -0.500627\n0.50 0.201708\n0.75 0.754254\nName: 2618, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.047166886970165765, std values: 0.9608251248303965, min values: -2.622709665346679, max values: 3.2266531185902125, median values: -0.0426495723584722, and quantile values: 0.25 -0.562493\n0.50 -0.042650\n0.75 0.582764\nName: 2619, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1737520594686859, std values: 0.9990445336100794, min values: -2.584593648802428, max values: 3.4566816047670264, median values: 0.0641555035558116, and quantile values: 0.25 -0.608446\n0.50 0.064156\n0.75 0.891776\nName: 2620, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14851844600284994, std values: 0.8048422656690213, min values: -3.0133870328644434, max values: 3.071353155688046, median values: -0.2249451912401806, and quantile values: 0.25 -0.637661\n0.50 -0.224945\n0.75 0.343425\nName: 2621, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10395592055488494, std values: 1.0697859101247862, min values: -2.143127839894852, max values: 3.0, median values: 0.0278458436536188, and quantile values: 0.25 -0.762449\n0.50 0.027846\n0.75 0.980957\nName: 2622, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0020012934557677845, std values: 0.9872754270891081, min values: -2.389411000644451, max values: 3.3636961113187773, median values: -0.0791479258350754, and quantile values: 0.25 -0.793610\n0.50 -0.079148\n0.75 0.723506\nName: 2623, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29648188359389366, std values: 0.9767831094642861, min values: -2.64479559868397, max values: 6.0, median values: 0.4454899488865786, and quantile values: 0.25 -0.268586\n0.50 0.445490\n0.75 0.961901\nName: 2624, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0002833689046598942, std values: 0.7445808128795995, min values: -2.0806681251243795, max values: 5.0, median values: 0.0216751364627177, and quantile values: 0.25 -0.493211\n0.50 0.021675\n0.75 0.480901\nName: 2625, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5454310113125437, std values: 0.8878856343744997, min values: -1.9224031082931825, max values: 5.0, median values: 0.6664852593994477, and quantile values: 0.25 -0.070449\n0.50 0.666485\n0.75 1.189964\nName: 2626, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3833748616479324, std values: 0.8476159670463712, min values: -2.566149343918479, max values: 6.0, median values: -0.5513894480566787, and quantile values: 0.25 -0.986133\n0.50 -0.551389\n0.75 0.085994\nName: 2627, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8558524353307446, std values: 1.4025900275369878, min values: -2.944950884974346, max values: 3.0, median values: -1.1172766145889848, and quantile values: 0.25 -2.134988\n0.50 -1.117277\n0.75 0.437627\nName: 2628, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2200745546658983, std values: 0.7543283519361987, min values: -2.0884920198234647, max values: 3.3760121766849016, median values: -0.2299818017981297, and quantile values: 0.25 -0.765009\n0.50 -0.229982\n0.75 0.272619\nName: 2629, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20234646125587258, std values: 1.0442068892151533, min values: -2.6800544037614658, max values: 4.0, median values: -0.2309608380895131, and quantile values: 0.25 -0.901562\n0.50 -0.230961\n0.75 0.492538\nName: 2630, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2875471789718536, std values: 0.9165067254913231, min values: -2.3808324358856225, max values: 3.627976272701048, median values: 0.3411690839329684, and quantile values: 0.25 -0.371339\n0.50 0.341169\n0.75 0.988075\nName: 2631, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11688513405339288, std values: 1.0611697763413335, min values: -2.8121055320525654, max values: 5.0, median values: -0.1432646147429413, and quantile values: 0.25 -0.796783\n0.50 -0.143265\n0.75 0.617344\nName: 2632, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2429757649315892, std values: 0.9164631993574677, min values: -2.271143658239337, max values: 6.0, median values: 0.3044666359718934, and quantile values: 0.25 -0.384223\n0.50 0.304467\n0.75 0.847720\nName: 2633, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35508712135264603, std values: 1.1755181403794384, min values: -2.607565022042742, max values: 4.0, median values: 0.584333406015, and quantile values: 0.25 -0.276565\n0.50 0.584333\n0.75 1.183121\nName: 2634, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32780569040210605, std values: 0.7966330287081186, min values: -2.475778245535816, max values: 4.0, median values: 0.2956156491990026, and quantile values: 0.25 -0.193536\n0.50 0.295616\n0.75 0.873735\nName: 2635, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1735791805625997, std values: 0.9097797483027829, min values: -2.5879430435308, max values: 3.397048482165858, median values: 0.189440852700834, and quantile values: 0.25 -0.464473\n0.50 0.189441\n0.75 0.768719\nName: 2636, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26657383247331173, std values: 0.8773260524694476, min values: -2.3051489257282016, max values: 4.243835016543704, median values: -0.3898626666690232, and quantile values: 0.25 -0.887598\n0.50 -0.389863\n0.75 0.240730\nName: 2637, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4422535301584823, std values: 0.7958045190729637, min values: -2.3051489257282016, max values: 5.0, median values: 0.5019384282520485, and quantile values: 0.25 -0.075944\n0.50 0.501938\n0.75 1.010306\nName: 2638, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.00860168035411606, std values: 0.8622585459040993, min values: -2.221075353514828, max values: 2.8170694285457287, median values: -0.0480437891681565, and quantile values: 0.25 -0.697769\n0.50 -0.048044\n0.75 0.588026\nName: 2639, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30187688059474765, std values: 1.001183062817741, min values: -2.5743883495350026, max values: 5.0, median values: -0.3609325672148, and quantile values: 0.25 -0.983599\n0.50 -0.360933\n0.75 0.331109\nName: 2640, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15521653643619604, std values: 0.7647844353968823, min values: -2.3771558481240653, max values: 4.0, median values: 0.1120250776915519, and quantile values: 0.25 -0.329334\n0.50 0.112025\n0.75 0.622525\nName: 2641, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21216572650719306, std values: 1.0201679659365135, min values: -2.5201815750705507, max values: 4.0, median values: 0.228370292050229, and quantile values: 0.25 -0.422523\n0.50 0.228370\n0.75 0.880482\nName: 2642, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09266080821223273, std values: 0.9830325353219489, min values: -2.36209815109004, max values: 3.135426854633533, median values: 0.1690951250272176, and quantile values: 0.25 -0.674327\n0.50 0.169095\n0.75 0.885077\nName: 2643, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.023703950137006723, std values: 0.8934120896919749, min values: -2.7257183488872623, max values: 5.0, median values: -0.0251024798165495, and quantile values: 0.25 -0.669382\n0.50 -0.025102\n0.75 0.624766\nName: 2644, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21180071907139777, std values: 1.023195029361801, min values: -2.634919142586459, max values: 6.0, median values: -0.2618053726537194, and quantile values: 0.25 -1.025764\n0.50 -0.261805\n0.75 0.520429\nName: 2645, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2909249447562998, std values: 0.8678344098676682, min values: -2.63315074164461, max values: 6.0, median values: -0.3349130235312548, and quantile values: 0.25 -0.948549\n0.50 -0.334913\n0.75 0.275503\nName: 2646, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10221445637961088, std values: 0.9523981158838875, min values: -2.5624611946462936, max values: 5.0, median values: -0.1224960477432344, and quantile values: 0.25 -0.738609\n0.50 -0.122496\n0.75 0.475982\nName: 2647, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37021380038552276, std values: 0.8207511326452894, min values: -1.993071935034894, max values: 3.434669824302974, median values: 0.3421836344316691, and quantile values: 0.25 -0.150217\n0.50 0.342184\n0.75 0.876855\nName: 2648, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08144759029726319, std values: 0.8533804286205672, min values: -2.119621483749997, max values: 4.0, median values: -0.162282648052497, and quantile values: 0.25 -0.737784\n0.50 -0.162283\n0.75 0.464058\nName: 2649, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4677823750951696, std values: 0.7980323074075316, min values: -2.2837882496430213, max values: 4.0, median values: 0.5190993001197516, and quantile values: 0.25 -0.067661\n0.50 0.519099\n0.75 1.000922\nName: 2650, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4434743703007155, std values: 0.8446484028640137, min values: -2.419659473655063, max values: 4.0, median values: -0.5390576665053234, and quantile values: 0.25 -1.131266\n0.50 -0.539058\n0.75 0.117227\nName: 2651, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2279522161012157, std values: 0.8672579256589702, min values: -2.0163010612064864, max values: 3.9905524164385566, median values: 0.1610297117273667, and quantile values: 0.25 -0.347087\n0.50 0.161030\n0.75 0.773285\nName: 2652, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1751683850315634, std values: 0.7681971407360441, min values: -2.119621483749997, max values: 3.0, median values: 0.2802436539967984, and quantile values: 0.25 -0.319987\n0.50 0.280244\n0.75 0.697079\nName: 2653, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06025861681269912, std values: 0.9885361383683526, min values: -2.2477784840641744, max values: 4.0, median values: 0.0524037483453117, and quantile values: 0.25 -0.699421\n0.50 0.052404\n0.75 0.822236\nName: 2654, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19841696075743853, std values: 0.9381499603471858, min values: -2.6320986139293034, max values: 3.5908526919299577, median values: -0.2257140073941489, and quantile values: 0.25 -0.860586\n0.50 -0.225714\n0.75 0.434378\nName: 2655, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32196095016228815, std values: 0.8314951578168907, min values: -2.419133598913117, max values: 3.496479817235339, median values: 0.4135968052650356, and quantile values: 0.25 -0.210062\n0.50 0.413597\n0.75 0.891328\nName: 2656, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15092950216942172, std values: 0.8917023615346168, min values: -1.8971247907784416, max values: 3.5908526919299577, median values: -0.2810057480946856, and quantile values: 0.25 -0.798112\n0.50 -0.281006\n0.75 0.357114\nName: 2657, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13276234510324547, std values: 0.9735280288721634, min values: -2.5879430435308, max values: 3.236860296211547, median values: 0.0142107638246587, and quantile values: 0.25 -0.553025\n0.50 0.014211\n0.75 0.707484\nName: 2658, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14790147670803763, std values: 1.074825809237303, min values: -2.6660404517971856, max values: 4.0, median values: 0.0556857176099694, and quantile values: 0.25 -0.605491\n0.50 0.055686\n0.75 0.877362\nName: 2659, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29457844996476246, std values: 1.0661046879458638, min values: -2.841647375415054, max values: 5.0, median values: -0.3636968751475462, and quantile values: 0.25 -1.194510\n0.50 -0.363697\n0.75 0.512776\nName: 2660, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17791125614193573, std values: 0.8003310198176945, min values: -2.071227793270793, max values: 4.0, median values: 0.199740999897984, and quantile values: 0.25 -0.350603\n0.50 0.199741\n0.75 0.692369\nName: 2661, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2280384395364003, std values: 0.8985401814797598, min values: -2.807209974165368, max values: 6.0, median values: -0.1405817131834302, and quantile values: 0.25 -0.825152\n0.50 -0.140582\n0.75 0.384717\nName: 2662, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3443830466756881, std values: 1.0475046530527623, min values: -2.825926939679757, max values: 3.197902420311553, median values: -0.304516147839102, and quantile values: 0.25 -0.907796\n0.50 -0.304516\n0.75 0.336670\nName: 2663, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29184043906966056, std values: 1.0033207048382795, min values: -2.6404955031131814, max values: 6.0, median values: 0.2082327446809569, and quantile values: 0.25 -0.393252\n0.50 0.208233\n0.75 0.901618\nName: 2664, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0532617653180953, std values: 1.3026385549733008, min values: -2.727901130262228, max values: 4.243835016543704, median values: -1.6733911655889206, and quantile values: 0.25 -2.140406\n0.50 -1.673391\n0.75 -0.023328\nName: 2665, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.042951720818172646, std values: 0.9100936891035597, min values: -2.1798712735263623, max values: 3.438667023696733, median values: 0.0485170305028711, and quantile values: 0.25 -0.634825\n0.50 0.048517\n0.75 0.739914\nName: 2666, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06427737190605576, std values: 0.9336654355269859, min values: -2.6685266729136536, max values: 6.0, median values: 0.0443252649584688, and quantile values: 0.25 -0.643987\n0.50 0.044325\n0.75 0.826980\nName: 2667, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01046951396637537, std values: 1.0134465514954265, min values: -2.841647375415054, max values: 5.0, median values: 0.0065819433445954, and quantile values: 0.25 -0.806853\n0.50 0.006582\n0.75 0.766847\nName: 2668, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3008644794035431, std values: 0.8236957650221508, min values: -2.732564679617164, max values: 3.721862465295849, median values: 0.3834821025845, and quantile values: 0.25 -0.248999\n0.50 0.383482\n0.75 0.892107\nName: 2669, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3866292392900989, std values: 0.7876225061655543, min values: -2.5039074859839925, max values: 4.0, median values: 0.4473492088203707, and quantile values: 0.25 -0.134364\n0.50 0.447349\n0.75 0.914268\nName: 2670, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02467180928664674, std values: 0.838116593418409, min values: -2.27710446206836, max values: 3.250922035035844, median values: 0.0150793853078676, and quantile values: 0.25 -0.633964\n0.50 0.015079\n0.75 0.603760\nName: 2671, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4349225999410677, std values: 0.864112968353677, min values: -2.589966702820638, max values: 6.0, median values: 0.4391730571905204, and quantile values: 0.25 -0.144811\n0.50 0.439173\n0.75 1.038273\nName: 2672, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3187392530813128, std values: 0.8166522030125276, min values: -2.579723791499676, max values: 4.0, median values: 0.2920130566502237, and quantile values: 0.25 -0.197578\n0.50 0.292013\n0.75 0.846535\nName: 2673, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.033622491241443064, std values: 0.8592414505037003, min values: -2.5631847770497496, max values: 4.0, median values: 0.0994047499870954, and quantile values: 0.25 -0.586213\n0.50 0.099405\n0.75 0.660124\nName: 2674, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3358596092124119, std values: 0.8034165942211736, min values: -2.7871422803648627, max values: 3.030805337148847, median values: -0.4387975482263554, and quantile values: 0.25 -0.897948\n0.50 -0.438798\n0.75 0.136940\nName: 2675, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.057333406825697424, std values: 0.809455702997108, min values: -2.566149343918479, max values: 6.0, median values: -0.004048290077317, and quantile values: 0.25 -0.502438\n0.50 -0.004048\n0.75 0.568786\nName: 2676, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29744122669913553, std values: 0.9047589773612813, min values: -2.7257183488872623, max values: 5.0, median values: -0.3886139963092855, and quantile values: 0.25 -0.931016\n0.50 -0.388614\n0.75 0.260191\nName: 2677, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18273488320655845, std values: 0.9930527635945816, min values: -2.876502173242568, max values: 4.278004674434932, median values: 0.1136662751084326, and quantile values: 0.25 -0.383725\n0.50 0.113666\n0.75 0.762265\nName: 2678, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32443714659734324, std values: 0.9399840971112855, min values: -3.307038206418975, max values: 2.949186837165591, median values: -0.4245033289960409, and quantile values: 0.25 -1.001234\n0.50 -0.424503\n0.75 0.318799\nName: 2679, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09810166066881536, std values: 0.8595915323644076, min values: -2.58513369695146, max values: 4.0, median values: 0.1577264603993817, and quantile values: 0.25 -0.386423\n0.50 0.157726\n0.75 0.625744\nName: 2680, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24846325123674504, std values: 0.8083164696149451, min values: -2.009805590864732, max values: 3.528773265847577, median values: -0.3502539796227772, and quantile values: 0.25 -0.808413\n0.50 -0.350254\n0.75 0.257845\nName: 2681, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39663370351022087, std values: 0.9278805216795332, min values: -2.098259549910112, max values: 3.709787027503053, median values: -0.474765032918657, and quantile values: 0.25 -1.166729\n0.50 -0.474765\n0.75 0.232417\nName: 2682, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5963526580658951, std values: 0.7979599531836299, min values: -2.6850842010492566, max values: 6.0, median values: -0.6444025423180684, and quantile values: 0.25 -1.165516\n0.50 -0.644403\n0.75 -0.169056\nName: 2683, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.358938909311424, std values: 0.8963983622626176, min values: -2.0366697630595785, max values: 3.3014869995452325, median values: 0.4404115440302433, and quantile values: 0.25 -0.311133\n0.50 0.440412\n0.75 1.048477\nName: 2684, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6236447403360187, std values: 0.8740926117314992, min values: -1.812864131583382, max values: 3.3337116327022187, median values: 0.6837016665963428, and quantile values: 0.25 -0.007849\n0.50 0.683702\n0.75 1.335214\nName: 2685, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07759283539619315, std values: 0.9440838505100826, min values: -2.8547740449753216, max values: 5.0, median values: -0.0998085346770696, and quantile values: 0.25 -0.588993\n0.50 -0.099809\n0.75 0.474421\nName: 2686, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5325893605328557, std values: 0.81655481243518, min values: -2.0792309011718992, max values: 5.0, median values: -0.6827465425633631, and quantile values: 0.25 -1.133881\n0.50 -0.682747\n0.75 -0.043250\nName: 2687, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24979416096108192, std values: 0.7832722660875304, min values: -2.2915911556076085, max values: 3.5908526919299577, median values: -0.2874286119973758, and quantile values: 0.25 -0.791306\n0.50 -0.287429\n0.75 0.214738\nName: 2688, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3361251936321284, std values: 0.8570436348816425, min values: -2.094787931821739, max values: 3.0932086550988465, median values: -0.4320269591207777, and quantile values: 0.25 -1.027165\n0.50 -0.432027\n0.75 0.242697\nName: 2689, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28018104065265514, std values: 0.7084117958278866, min values: -2.221075353514828, max values: 3.9048392686725855, median values: 0.3061009225325871, and quantile values: 0.25 -0.163089\n0.50 0.306101\n0.75 0.705730\nName: 2690, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1334795867212824, std values: 0.769796590839123, min values: -2.688157591415518, max values: 5.0, median values: 0.1097897280995403, and quantile values: 0.25 -0.353068\n0.50 0.109790\n0.75 0.616019\nName: 2691, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3839677189877292, std values: 0.8527507762957385, min values: -1.96005798398686, max values: 3.0, median values: 0.4562746391727691, and quantile values: 0.25 -0.202101\n0.50 0.456275\n0.75 1.027806\nName: 2692, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25737115819592443, std values: 0.8639605992983326, min values: -2.1017566422541964, max values: 6.0, median values: 0.2717901956069498, and quantile values: 0.25 -0.340668\n0.50 0.271790\n0.75 0.857646\nName: 2693, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20430059610720674, std values: 0.9211759637538645, min values: -2.610097161345549, max values: 4.0, median values: 0.2950978414040491, and quantile values: 0.25 -0.284794\n0.50 0.295098\n0.75 0.761713\nName: 2694, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24469485647582945, std values: 1.087298077158177, min values: -2.657750824678472, max values: 5.0, median values: -0.3606492717231871, and quantile values: 0.25 -1.074503\n0.50 -0.360649\n0.75 0.524179\nName: 2695, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5485901220127506, std values: 1.0394072459536003, min values: -2.622709665346679, max values: 3.0, median values: -0.5707066166286948, and quantile values: 0.25 -1.354480\n0.50 -0.570707\n0.75 0.174182\nName: 2696, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.46722411554426885, std values: 1.0452883119879288, min values: -2.120681876014718, max values: 4.0, median values: 0.5437644771002043, and quantile values: 0.25 -0.308674\n0.50 0.543764\n0.75 1.249353\nName: 2697, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7594651389956651, std values: 1.1062855251792092, min values: -2.632854336056873, max values: 3.670892362631932, median values: 0.972049048478364, and quantile values: 0.25 0.105672\n0.50 0.972049\n0.75 1.601779\nName: 2698, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4867385989775015, std values: 0.9613954974612838, min values: -2.075893982221889, max values: 5.0, median values: 0.4409327260774323, and quantile values: 0.25 -0.168090\n0.50 0.440933\n0.75 1.180280\nName: 2699, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4060115360537419, std values: 1.0200657195596987, min values: -2.9472833478224456, max values: 6.0, median values: -0.4628413398538463, and quantile values: 0.25 -1.043443\n0.50 -0.462841\n0.75 0.260776\nName: 2700, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4065146811716413, std values: 0.9709852812226926, min values: -2.7428415536925543, max values: 5.0, median values: -0.4620349583185955, and quantile values: 0.25 -1.146117\n0.50 -0.462035\n0.75 0.278499\nName: 2701, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28525800609671087, std values: 0.9948719602450161, min values: -2.933035609461076, max values: 5.0, median values: 0.4188222017949263, and quantile values: 0.25 -0.340443\n0.50 0.418822\n0.75 0.974934\nName: 2702, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25769582966871535, std values: 0.9656529408291572, min values: -3.071284484560209, max values: 4.243835016543704, median values: -0.298876567816707, and quantile values: 0.25 -1.043717\n0.50 -0.298877\n0.75 0.429137\nName: 2703, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14421759026762163, std values: 0.7357395021725722, min values: -2.035794058295153, max values: 6.0, median values: 0.1493482555146632, and quantile values: 0.25 -0.359212\n0.50 0.149348\n0.75 0.589443\nName: 2704, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5811177394879279, std values: 0.8562917657475135, min values: -2.7939007019027, max values: 3.4217036547572275, median values: 0.685912784194618, and quantile values: 0.25 0.162323\n0.50 0.685913\n0.75 1.159389\nName: 2705, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03259434823625549, std values: 0.9536240567986966, min values: -2.9898739724800576, max values: 3.9905524164385566, median values: -0.0666750364819341, and quantile values: 0.25 -0.725045\n0.50 -0.066675\n0.75 0.705730\nName: 2706, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5184783280695641, std values: 1.0261228171778214, min values: -2.783691185534105, max values: 3.9905524164385566, median values: 0.5454914965386953, and quantile values: 0.25 -0.219204\n0.50 0.545491\n0.75 1.329661\nName: 2707, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.337367260723083, std values: 0.9683466531336499, min values: -2.093964118245613, max values: 6.0, median values: 0.3516598347218238, and quantile values: 0.25 -0.362814\n0.50 0.351660\n0.75 1.115325\nName: 2708, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17234223420834976, std values: 1.0469155047357277, min values: -3.1386665508340674, max values: 2.9996722348762725, median values: -0.1739727320596456, and quantile values: 0.25 -0.872559\n0.50 -0.173973\n0.75 0.546587\nName: 2709, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21841792954149578, std values: 0.9839957193762299, min values: -2.5399045531878324, max values: 4.0, median values: -0.2739053916408023, and quantile values: 0.25 -0.884914\n0.50 -0.273905\n0.75 0.361050\nName: 2710, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2965240631077427, std values: 0.9943388386213042, min values: -2.7211321814067784, max values: 3.0, median values: -0.1406373389905108, and quantile values: 0.25 -0.843860\n0.50 -0.140637\n0.75 0.373689\nName: 2711, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06115013959368641, std values: 0.7898429275039043, min values: -2.8998169811239416, max values: 4.243835016543704, median values: -0.1238296566440647, and quantile values: 0.25 -0.617401\n0.50 -0.123830\n0.75 0.438506\nName: 2712, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.008876567889521764, std values: 0.8486906665358479, min values: -2.45229857681487, max values: 3.390469008396469, median values: -0.0774076252862832, and quantile values: 0.25 -0.598352\n0.50 -0.077408\n0.75 0.542084\nName: 2713, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14263229822098508, std values: 0.7646861862432021, min values: -2.108828940494985, max values: 6.0, median values: 0.0612581839280858, and quantile values: 0.25 -0.375749\n0.50 0.061258\n0.75 0.636087\nName: 2714, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02499103368519838, std values: 0.8168011829542958, min values: -2.0407136277056424, max values: 5.0, median values: -0.0449206612244248, and quantile values: 0.25 -0.522297\n0.50 -0.044921\n0.75 0.554149\nName: 2715, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3388102634025458, std values: 0.8022788155326209, min values: -2.73836943861057, max values: 3.5908526919299577, median values: -0.4381470669466156, and quantile values: 0.25 -0.871952\n0.50 -0.438147\n0.75 0.096178\nName: 2716, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5643083922666857, std values: 1.0156198400262397, min values: -2.6270253558526173, max values: 4.0, median values: -0.6292912072380548, and quantile values: 0.25 -1.361971\n0.50 -0.629291\n0.75 0.139275\nName: 2717, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4390100114371668, std values: 1.398386683568542, min values: -2.9622221028070275, max values: 6.0, median values: -0.290262361398645, and quantile values: 0.25 -1.729387\n0.50 -0.290262\n0.75 0.692566\nName: 2718, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.332575054203171, std values: 0.8459765447335754, min values: -1.932604056729708, max values: 3.000356517591168, median values: 0.3875691894272179, and quantile values: 0.25 -0.238930\n0.50 0.387569\n0.75 0.922279\nName: 2719, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18886761409457492, std values: 1.363007286764217, min values: -2.9666813816765707, max values: 4.0, median values: -0.0970061257769978, and quantile values: 0.25 -1.258407\n0.50 -0.097006\n0.75 0.947364\nName: 2720, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2546786314918634, std values: 1.0171329466469887, min values: -3.0148736195915964, max values: 3.721862465295849, median values: -0.2793096960754915, and quantile values: 0.25 -0.973287\n0.50 -0.279310\n0.75 0.380135\nName: 2721, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2991111575518902, std values: 0.9188235291655237, min values: -2.8531572940820533, max values: 3.5908526919299577, median values: -0.3329888056600051, and quantile values: 0.25 -1.035047\n0.50 -0.332989\n0.75 0.333961\nName: 2722, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5523824903068589, std values: 1.0601744289896755, min values: -3.307038206418975, max values: 3.191712471143802, median values: 0.7151233888114913, and quantile values: 0.25 -0.148401\n0.50 0.715123\n0.75 1.386442\nName: 2723, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17747090773352292, std values: 1.015383361583471, min values: -2.7510671817729784, max values: 6.0, median values: -0.2939761956923452, and quantile values: 0.25 -0.802410\n0.50 -0.293976\n0.75 0.424038\nName: 2724, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3221900288845118, std values: 1.0425419811737817, min values: -2.608390851963037, max values: 5.0, median values: -0.3213695211133612, and quantile values: 0.25 -0.974972\n0.50 -0.321370\n0.75 0.433547\nName: 2725, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.044851013565716566, std values: 0.8531034387846945, min values: -2.7648443048846945, max values: 3.0651860794139534, median values: -0.1154029478631842, and quantile values: 0.25 -0.634478\n0.50 -0.115403\n0.75 0.500907\nName: 2726, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19164033749048529, std values: 0.8312365178476735, min values: -2.100754849305273, max values: 3.0932086550988465, median values: 0.2425306561091917, and quantile values: 0.25 -0.418304\n0.50 0.242531\n0.75 0.787884\nName: 2727, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3814388891610183, std values: 0.8474012944310175, min values: -2.299460330888208, max values: 4.0, median values: -0.5097421243969963, and quantile values: 0.25 -1.045761\n0.50 -0.509742\n0.75 0.192302\nName: 2728, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13349882617942976, std values: 1.03769914933165, min values: -2.873069976951463, max values: 3.4217036547572275, median values: 0.0965312173174759, and quantile values: 0.25 -0.491125\n0.50 0.096531\n0.75 0.796821\nName: 2729, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34957276615661564, std values: 0.9331636126646099, min values: -2.6201435104586555, max values: 6.0, median values: 0.4124816572054927, and quantile values: 0.25 -0.332331\n0.50 0.412482\n0.75 1.070001\nName: 2730, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18699174241233046, std values: 0.8553827705169729, min values: -2.5624611946462936, max values: 5.0, median values: -0.1265774007440442, and quantile values: 0.25 -0.710436\n0.50 -0.126577\n0.75 0.337282\nName: 2731, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3990201036319625, std values: 0.9104344564830238, min values: -2.5743883495350026, max values: 5.0, median values: -0.3892981668908678, and quantile values: 0.25 -0.984443\n0.50 -0.389298\n0.75 0.185021\nName: 2732, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19455889064411022, std values: 0.8878748117137443, min values: -2.169311742921253, max values: 6.0, median values: -0.2908145662320124, and quantile values: 0.25 -0.880685\n0.50 -0.290815\n0.75 0.394234\nName: 2733, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16781273509114938, std values: 0.875520554326339, min values: -2.4960309093026924, max values: 3.336438412828754, median values: 0.0544098289355312, and quantile values: 0.25 -0.477306\n0.50 0.054410\n0.75 0.753061\nName: 2734, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29878470023607834, std values: 1.1738196487803942, min values: -2.610097161345549, max values: 4.0, median values: -0.242924143706303, and quantile values: 0.25 -1.236892\n0.50 -0.242924\n0.75 0.575631\nName: 2735, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3225251264585796, std values: 0.8179414071603593, min values: -2.2012167772695554, max values: 2.8730699769514567, median values: 0.3361163564446914, and quantile values: 0.25 -0.249396\n0.50 0.336116\n0.75 0.969402\nName: 2736, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1578982787295024, std values: 0.9828377779069406, min values: -2.136064736636534, max values: 6.0, median values: 0.193466839796028, and quantile values: 0.25 -0.514134\n0.50 0.193467\n0.75 0.815193\nName: 2737, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.010233860038566028, std values: 1.094917769831443, min values: -2.5501488616953263, max values: 3.2696814875916886, median values: -0.0992768237635203, and quantile values: 0.25 -0.877480\n0.50 -0.099277\n0.75 0.759699\nName: 2738, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06935370548134198, std values: 0.9818541118404801, min values: -2.622408470084112, max values: 3.0, median values: 0.0119523464440629, and quantile values: 0.25 -0.546891\n0.50 0.011952\n0.75 0.765509\nName: 2739, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6125685747692671, std values: 1.1989624358703805, min values: -2.949186837165601, max values: 4.0, median values: -0.4204205206917391, and quantile values: 0.25 -1.735563\n0.50 -0.420421\n0.75 0.315208\nName: 2740, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2794387890189147, std values: 0.7856002056318347, min values: -2.476285024008804, max values: 3.00464355837442, median values: 0.2587003976593999, and quantile values: 0.25 -0.226533\n0.50 0.258700\n0.75 0.801939\nName: 2741, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2965329148513326, std values: 0.8097575497816584, min values: -2.154207450651022, max values: 4.0, median values: 0.3132404348971754, and quantile values: 0.25 -0.202867\n0.50 0.313240\n0.75 0.776184\nName: 2742, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11402546349461623, std values: 0.884497755912664, min values: -2.4788285026914285, max values: 4.0, median values: -0.1800563529098507, and quantile values: 0.25 -0.747435\n0.50 -0.180056\n0.75 0.442056\nName: 2743, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6965101608456701, std values: 0.8349910843930107, min values: -2.584593648802428, max values: 3.0, median values: -0.8065051166291587, and quantile values: 0.25 -1.312507\n0.50 -0.806505\n0.75 -0.239437\nName: 2744, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1805576017264572, std values: 0.891200650437689, min values: -2.003208525075155, max values: 3.045947208515846, median values: 0.1043463087341253, and quantile values: 0.25 -0.494274\n0.50 0.104346\n0.75 0.806722\nName: 2745, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44999020950258295, std values: 0.8265911901088647, min values: -2.461308921153724, max values: 3.667275230673496, median values: -0.5172410282021922, and quantile values: 0.25 -1.020140\n0.50 -0.517241\n0.75 0.087085\nName: 2746, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2659317322384213, std values: 0.880882479081129, min values: -2.638186942019407, max values: 4.0, median values: -0.3035260521405017, and quantile values: 0.25 -0.851117\n0.50 -0.303526\n0.75 0.249595\nName: 2747, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09010225178869762, std values: 0.8738414953658448, min values: -2.5569229852416258, max values: 4.0, median values: 0.1402565927134584, and quantile values: 0.25 -0.527234\n0.50 0.140257\n0.75 0.704247\nName: 2748, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1470886108099527, std values: 0.7358725809217892, min values: -2.6850842010492566, max values: 6.0, median values: 0.1736368133881339, and quantile values: 0.25 -0.320393\n0.50 0.173637\n0.75 0.617252\nName: 2749, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0523842625018454, std values: 0.9877493783448188, min values: -3.002493140275396, max values: 5.0, median values: 0.0085648310742974, and quantile values: 0.25 -0.893289\n0.50 0.008565\n0.75 0.703612\nName: 2750, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0016709346176403306, std values: 0.7960035638178299, min values: -2.212004168819108, max values: 3.362228250221886, median values: -0.0890779385068868, and quantile values: 0.25 -0.541683\n0.50 -0.089078\n0.75 0.493740\nName: 2751, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09331178547743145, std values: 0.8770853957472848, min values: -2.0441770656208704, max values: 6.0, median values: 0.132603831830543, and quantile values: 0.25 -0.544038\n0.50 0.132604\n0.75 0.723148\nName: 2752, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5096648487745701, std values: 0.8575458567467303, min values: -2.2320958412989365, max values: 3.867701659180865, median values: -0.6480639965944056, and quantile values: 0.25 -1.151461\n0.50 -0.648064\n0.75 0.004709\nName: 2753, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16053661183049658, std values: 1.059861332923431, min values: -2.5859127503381347, max values: 3.379902545505621, median values: 0.1519664976571095, and quantile values: 0.25 -0.671036\n0.50 0.151966\n0.75 0.952924\nName: 2754, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4393640090881774, std values: 0.9725743684987703, min values: -2.688157591415518, max values: 5.0, median values: 0.4311503643767427, and quantile values: 0.25 -0.289942\n0.50 0.431150\n0.75 1.164492\nName: 2755, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21120731884234245, std values: 1.014835801373362, min values: -2.933035609461076, max values: 5.0, median values: 0.3574478410018926, and quantile values: 0.25 -0.290632\n0.50 0.357448\n0.75 0.909669\nName: 2756, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.092535126957473, std values: 1.287612594374766, min values: -2.727901130262228, max values: 4.0, median values: -1.8074177675587344, and quantile values: 0.25 -2.159962\n0.50 -1.807418\n0.75 0.087383\nName: 2757, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35029724491361436, std values: 0.7813687844546776, min values: -2.1259296353090704, max values: 4.0, median values: -0.3731873519606972, and quantile values: 0.25 -0.907297\n0.50 -0.373187\n0.75 0.089595\nName: 2758, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16132908693012254, std values: 0.8821658699569039, min values: -2.0884068356849723, max values: 6.0, median values: 0.2282572259622077, and quantile values: 0.25 -0.477226\n0.50 0.228257\n0.75 0.831714\nName: 2759, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.506829827666469, std values: 1.0404264005885457, min values: -2.657750824678472, max values: 5.0, median values: -0.6669870533603058, and quantile values: 0.25 -1.293474\n0.50 -0.666987\n0.75 0.144435\nName: 2760, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3781715067767693, std values: 1.0914494353967685, min values: -2.8350118695332047, max values: 5.0, median values: -0.3816141955283116, and quantile values: 0.25 -1.309533\n0.50 -0.381614\n0.75 0.418161\nName: 2761, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4111620900981864, std values: 0.9579501511338628, min values: -2.110869107491898, max values: 3.434669824302974, median values: -0.5974479074969886, and quantile values: 0.25 -1.178196\n0.50 -0.597448\n0.75 0.213160\nName: 2762, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7012984095960203, std values: 0.9574951744028837, min values: -2.807209974165368, max values: 6.0, median values: -0.8410719559900419, and quantile values: 0.25 -1.491784\n0.50 -0.841072\n0.75 -0.014512\nName: 2763, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44046002441367466, std values: 1.0443825435246634, min values: -2.87684958111886, max values: 3.103622965243153, median values: -0.345079626584488, and quantile values: 0.25 -1.199245\n0.50 -0.345080\n0.75 0.337078\nName: 2764, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0029164327894644834, std values: 0.8239846292510322, min values: -2.070696498607387, max values: 5.0, median values: -0.0910475746703907, and quantile values: 0.25 -0.549275\n0.50 -0.091048\n0.75 0.485823\nName: 2765, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08325150181212146, std values: 0.9680532019362945, min values: -2.5832619696830608, max values: 6.0, median values: 0.0222655427767421, and quantile values: 0.25 -0.683732\n0.50 0.022266\n0.75 0.780584\nName: 2766, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42489344392641465, std values: 0.8563444729445308, min values: -1.883156284582508, max values: 3.0, median values: 0.5229746273343618, and quantile values: 0.25 -0.177573\n0.50 0.522975\n0.75 1.053836\nName: 2767, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03915804579738796, std values: 0.7898215130346403, min values: -2.5695487141177, max values: 4.0, median values: -0.0454279473290809, and quantile values: 0.25 -0.582796\n0.50 -0.045428\n0.75 0.457508\nName: 2768, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19942319255459576, std values: 0.9517518783952309, min values: -2.221075353514828, max values: 3.3760121766849016, median values: -0.3187077442818367, and quantile values: 0.25 -0.922266\n0.50 -0.318708\n0.75 0.435325\nName: 2769, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.051452355124684886, std values: 0.9095655341335002, min values: -3.066111439712689, max values: 3.5021977227593246, median values: -0.1335762822887101, and quantile values: 0.25 -0.680414\n0.50 -0.133576\n0.75 0.425023\nName: 2770, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30573123921973183, std values: 0.7496789036775663, min values: -1.9753260575960627, max values: 3.3636961113187773, median values: 0.3592623734840627, and quantile values: 0.25 -0.187546\n0.50 0.359262\n0.75 0.811147\nName: 2771, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08234660548730566, std values: 0.7680423069698791, min values: -2.105967784650795, max values: 4.0, median values: -0.1628407602369692, and quantile values: 0.25 -0.609926\n0.50 -0.162841\n0.75 0.413267\nName: 2772, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.049917690415374645, std values: 0.7600868027158368, min values: -1.8283877893501688, max values: 6.0, median values: -0.0501425538794663, and quantile values: 0.25 -0.426079\n0.50 -0.050143\n0.75 0.487182\nName: 2773, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33833985902364294, std values: 0.7660339621827681, min values: -2.2915911556076085, max values: 3.434669824302974, median values: 0.3209725963383245, and quantile values: 0.25 -0.134411\n0.50 0.320973\n0.75 0.804600\nName: 2774, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01786556343872515, std values: 0.9362332079744311, min values: -2.5293911731823453, max values: 3.518664430018096, median values: 0.1068655759756415, and quantile values: 0.25 -0.582260\n0.50 0.106866\n0.75 0.705845\nName: 2775, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3418854820093927, std values: 1.1560626123071758, min values: -2.928515832252388, max values: 3.05919958255637, median values: -0.3114552433238843, and quantile values: 0.25 -0.992340\n0.50 -0.311455\n0.75 0.451794\nName: 2776, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1493784880146441, std values: 0.8167579179533621, min values: -2.4536054974529624, max values: 6.0, median values: -0.2729619777118849, and quantile values: 0.25 -0.723388\n0.50 -0.272962\n0.75 0.347181\nName: 2777, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5897832115588927, std values: 0.8096740813244119, min values: -2.1371444472445806, max values: 3.224152805256112, median values: -0.7244020394937598, and quantile values: 0.25 -1.187569\n0.50 -0.724402\n0.75 -0.161669\nName: 2778, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3168061244346276, std values: 1.0434596824607392, min values: -2.6635706018350787, max values: 3.5021977227593246, median values: -0.4206567970248076, and quantile values: 0.25 -1.161441\n0.50 -0.420657\n0.75 0.375444\nName: 2779, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5442472996294135, std values: 1.5068765728104898, min values: -2.9797100147087465, max values: 5.0, median values: 0.4221917261204283, and quantile values: 0.25 -0.488593\n0.50 0.422192\n0.75 1.729560\nName: 2780, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11123174157807872, std values: 0.8094123568568591, min values: -2.0441770656208704, max values: 3.055874031381882, median values: 0.082021330016096, and quantile values: 0.25 -0.418341\n0.50 0.082021\n0.75 0.579535\nName: 2781, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4854013850276966, std values: 0.7948793871181166, min values: -2.009390704747527, max values: 5.0, median values: 0.4451554391533331, and quantile values: 0.25 -0.063521\n0.50 0.445155\n0.75 1.030776\nName: 2782, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07175522561356604, std values: 0.9611974213072095, min values: -2.126457643282694, max values: 3.667275230673496, median values: 0.0250788378714653, and quantile values: 0.25 -0.664497\n0.50 0.025079\n0.75 0.727293\nName: 2783, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3485263701039297, std values: 0.9437305596993015, min values: -2.497627580948261, max values: 3.0, median values: -0.4224352041821047, and quantile values: 0.25 -0.937000\n0.50 -0.422435\n0.75 0.257381\nName: 2784, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.053226816517198766, std values: 1.2072353693244373, min values: -2.801183634509044, max values: 5.0, median values: 0.2884140010382001, and quantile values: 0.25 -0.708455\n0.50 0.288414\n0.75 0.965269\nName: 2785, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.002731157684241946, std values: 0.9038921494734641, min values: -2.609385158408876, max values: 4.0, median values: -0.0527530368402802, and quantile values: 0.25 -0.604144\n0.50 -0.052753\n0.75 0.596375\nName: 2786, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09564093034450556, std values: 0.7873457662913735, min values: -2.3893642989164, max values: 3.3760121766849016, median values: 0.1213878100194953, and quantile values: 0.25 -0.467803\n0.50 0.121388\n0.75 0.684307\nName: 2787, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16181083457437806, std values: 0.7664800823934024, min values: -2.1952222375445194, max values: 3.336438412828754, median values: 0.1778176529262318, and quantile values: 0.25 -0.337289\n0.50 0.177818\n0.75 0.651843\nName: 2788, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28883013171111416, std values: 1.0769727980640773, min values: -2.825926939679757, max values: 4.026668017837955, median values: -0.1739579824171803, and quantile values: 0.25 -0.869297\n0.50 -0.173958\n0.75 0.394125\nName: 2789, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5805950971253656, std values: 1.6617650769507426, min values: -3.530441124712342, max values: 3.528773265847577, median values: -1.5959355381139246, and quantile values: 0.25 -1.907325\n0.50 -1.595936\n0.75 0.556302\nName: 2790, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42889073635044306, std values: 1.1951617512013255, min values: -2.9029979285382743, max values: 3.438667023696733, median values: -0.5093384641466034, and quantile values: 0.25 -1.230875\n0.50 -0.509338\n0.75 0.362961\nName: 2791, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10030394268216149, std values: 0.8809071460063619, min values: -2.111380524687595, max values: 3.336438412828754, median values: -0.2302928635408616, and quantile values: 0.25 -0.710295\n0.50 -0.230293\n0.75 0.432329\nName: 2792, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2735810299941725, std values: 0.8624534157865834, min values: -2.0059437928561947, max values: 4.0, median values: -0.3393659798785925, and quantile values: 0.25 -0.949958\n0.50 -0.339366\n0.75 0.301403\nName: 2793, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36130427679180627, std values: 1.0115844014794995, min values: -2.3634450650887806, max values: 3.147276669305989, median values: -0.3554415256235223, and quantile values: 0.25 -1.223333\n0.50 -0.355442\n0.75 0.387365\nName: 2794, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4016066837094609, std values: 1.0474671184306912, min values: -3.1386665508340674, max values: 3.2936960268109283, median values: 0.5863242205834941, and quantile values: 0.25 -0.124449\n0.50 0.586324\n0.75 1.099501\nName: 2795, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7671042626253624, std values: 1.0117062163103767, min values: -2.2122771740240963, max values: 5.0, median values: 0.8184959570286443, and quantile values: 0.25 0.155450\n0.50 0.818496\n0.75 1.419299\nName: 2796, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3434156479729202, std values: 1.2941565470174696, min values: -2.8547740449753216, max values: 5.0, median values: 0.6401824817240739, and quantile values: 0.25 -0.405271\n0.50 0.640182\n0.75 1.347768\nName: 2797, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24690444876656362, std values: 0.9074544169439258, min values: -2.6685266729136536, max values: 6.0, median values: -0.3667851936251304, and quantile values: 0.25 -0.891987\n0.50 -0.366785\n0.75 0.274706\nName: 2798, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09015960421266901, std values: 1.125911858931702, min values: -2.6270253558526173, max values: 4.0, median values: -0.1309062873867474, and quantile values: 0.25 -0.793085\n0.50 -0.130906\n0.75 0.660653\nName: 2799, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39464829713405486, std values: 0.8976470723183257, min values: -2.5122218748354936, max values: 3.0, median values: -0.4159978753841545, and quantile values: 0.25 -1.028688\n0.50 -0.415998\n0.75 0.145562\nName: 2800, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.292673859897105, std values: 0.8115846037976038, min values: -2.461308921153724, max values: 3.630507857092792, median values: 0.2392217475099436, and quantile values: 0.25 -0.231368\n0.50 0.239222\n0.75 0.784025\nName: 2801, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1413550597979379, std values: 1.0488994955744362, min values: -2.8282523283494294, max values: 3.0, median values: -0.0705839268068347, and quantile values: 0.25 -0.806619\n0.50 -0.070584\n0.75 0.504064\nName: 2802, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31633051530688705, std values: 0.9262622842370268, min values: -2.860922438481449, max values: 2.971200445600723, median values: -0.2784257388171257, and quantile values: 0.25 -0.894076\n0.50 -0.278426\n0.75 0.251205\nName: 2803, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3682576542713585, std values: 0.8824736819321616, min values: -2.317857950167097, max values: 5.0, median values: 0.2776881369893826, and quantile values: 0.25 -0.224000\n0.50 0.277688\n0.75 0.962421\nName: 2804, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5400580938689739, std values: 0.9581552415655565, min values: -2.8998169811239416, max values: 3.670892362631932, median values: 0.509769038033038, and quantile values: 0.25 -0.119890\n0.50 0.509769\n0.75 1.159524\nName: 2805, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5895712654586365, std values: 0.9464054278786808, min values: -2.7542003929097176, max values: 5.0, median values: 0.6960853516824134, and quantile values: 0.25 0.006570\n0.50 0.696085\n0.75 1.287017\nName: 2806, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4508387812019189, std values: 0.9886353336883253, min values: -2.732564679617164, max values: 4.026668017837955, median values: 0.448707953173731, and quantile values: 0.25 -0.193419\n0.50 0.448708\n0.75 1.045155\nName: 2807, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04270095919418372, std values: 0.8502588905812359, min values: -2.579952672199424, max values: 6.0, median values: -0.0394189631650713, and quantile values: 0.25 -0.528266\n0.50 -0.039419\n0.75 0.548181\nName: 2808, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.325740399079856, std values: 0.8119843177098388, min values: -2.087919489660226, max values: 3.0, median values: -0.4293187640909673, and quantile values: 0.25 -0.898356\n0.50 -0.429319\n0.75 0.174981\nName: 2809, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.565270661175392, std values: 1.135479769720458, min values: -2.9278427058120164, max values: 6.0, median values: 0.8035840851989782, and quantile values: 0.25 -0.093273\n0.50 0.803584\n0.75 1.376715\nName: 2810, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11610393937327464, std values: 0.9722995917182274, min values: -2.928515832252388, max values: 5.0, median values: -0.0916883754640585, and quantile values: 0.25 -0.640444\n0.50 -0.091688\n0.75 0.500291\nName: 2811, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05271833083487252, std values: 0.953710516346254, min values: -2.862971749830789, max values: 3.434669824302974, median values: 0.0448214652754983, and quantile values: 0.25 -0.539659\n0.50 0.044821\n0.75 0.648764\nName: 2812, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09029231020394672, std values: 0.990359859171743, min values: -2.5624611946462936, max values: 5.0, median values: 0.050501018530759, and quantile values: 0.25 -0.539948\n0.50 0.050501\n0.75 0.732847\nName: 2813, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4858732907762275, std values: 0.8500292213103462, min values: -2.4657737907743, max values: 3.721862465295849, median values: 0.5778421609286131, and quantile values: 0.25 -0.063521\n0.50 0.577842\n0.75 1.073235\nName: 2814, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29426053266192487, std values: 1.01752495068916, min values: -2.0302087386636214, max values: 3.2071942083719924, median values: 0.2496684912035921, and quantile values: 0.25 -0.519158\n0.50 0.249668\n0.75 1.138712\nName: 2815, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03632450603197513, std values: 0.9483373784983434, min values: -2.623568901859613, max values: 4.0, median values: 0.0175140631522596, and quantile values: 0.25 -0.712775\n0.50 0.017514\n0.75 0.620086\nName: 2816, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4369809788225225, std values: 0.9369024917603151, min values: -2.0708241912939487, max values: 3.312693232344632, median values: -0.5265504299530125, and quantile values: 0.25 -1.217186\n0.50 -0.526550\n0.75 0.173445\nName: 2817, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26588859596835285, std values: 0.8398408350321115, min values: -2.078275132568711, max values: 2.753152983622478, median values: -0.385913654377195, and quantile values: 0.25 -0.901633\n0.50 -0.385914\n0.75 0.275478\nName: 2818, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10702953998313687, std values: 1.054357099865099, min values: -2.783691185534105, max values: 4.243835016543704, median values: -0.1412492516288399, and quantile values: 0.25 -1.018506\n0.50 -0.141249\n0.75 0.701335\nName: 2819, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3871565238984158, std values: 1.0356521366349443, min values: -2.264034258932616, max values: 4.0, median values: 0.3758248833552162, and quantile values: 0.25 -0.409498\n0.50 0.375825\n0.75 1.242650\nName: 2820, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7080563771477828, std values: 0.8413671533801453, min values: -3.318456222573461, max values: 2.9078251235230463, median values: -0.8477984818102378, and quantile values: 0.25 -1.313962\n0.50 -0.847798\n0.75 -0.269542\nName: 2821, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.007204603070273928, std values: 0.8784600472550219, min values: -2.5682675825126706, max values: 5.0, median values: 0.0158357798286651, and quantile values: 0.25 -0.525254\n0.50 0.015836\n0.75 0.564210\nName: 2822, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19833525885890463, std values: 0.9247732603702427, min values: -2.4579066217474894, max values: 4.0, median values: -0.2307170745642867, and quantile values: 0.25 -0.971298\n0.50 -0.230717\n0.75 0.476724\nName: 2823, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2535332819057939, std values: 0.7862152168800708, min values: -2.2465977058651, max values: 3.667275230673496, median values: 0.2037357121615679, and quantile values: 0.25 -0.259067\n0.50 0.203736\n0.75 0.713385\nName: 2824, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01927702090588979, std values: 0.7923418760735154, min values: -2.4737574649270093, max values: 3.379902545505621, median values: -0.01966433677171, and quantile values: 0.25 -0.585287\n0.50 -0.019664\n0.75 0.502784\nName: 2825, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03773824611128352, std values: 0.8944803811820641, min values: -2.0773212586940626, max values: 3.477886732511886, median values: -0.0703658909311669, and quantile values: 0.25 -0.632484\n0.50 -0.070366\n0.75 0.633628\nName: 2826, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33767053809275804, std values: 0.8812109675468318, min values: -2.5631847770497496, max values: 4.0, median values: 0.4064675403666627, and quantile values: 0.25 -0.315079\n0.50 0.406468\n0.75 0.981322\nName: 2827, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.48544203443474104, std values: 1.0329970941682654, min values: -2.6635706018350787, max values: 3.096891534584617, median values: 0.4257469545883982, and quantile values: 0.25 -0.312497\n0.50 0.425747\n0.75 1.366837\nName: 2828, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15478150884901, std values: 0.9242773450550695, min values: -3.062179113294277, max values: 3.050873041333768, median values: -0.2744200837733732, and quantile values: 0.25 -0.800976\n0.50 -0.274420\n0.75 0.438051\nName: 2829, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15347498584195293, std values: 0.928001676531855, min values: -2.6466193392086392, max values: 4.243835016543704, median values: 0.2409674917740933, and quantile values: 0.25 -0.436457\n0.50 0.240967\n0.75 0.849298\nName: 2830, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5330497259187081, std values: 0.8765600639030134, min values: -2.3922473154067863, max values: 5.0, median values: 0.5437749446884546, and quantile values: 0.25 -0.064851\n0.50 0.543775\n0.75 1.125021\nName: 2831, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0011195717690537224, std values: 0.8087170783723296, min values: -2.745904427753044, max values: 5.0, median values: -0.059404795956693, and quantile values: 0.25 -0.513059\n0.50 -0.059405\n0.75 0.468356\nName: 2832, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4357489220855664, std values: 1.1177826941217552, min values: -2.887007053971579, max values: 3.3483277116524426, median values: 0.605896312907696, and quantile values: 0.25 -0.189254\n0.50 0.605896\n0.75 1.225022\nName: 2833, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2913201749161942, std values: 0.9523688300317523, min values: -2.9029979285382743, max values: 6.0, median values: -0.3530663851955503, and quantile values: 0.25 -0.931563\n0.50 -0.353066\n0.75 0.329189\nName: 2834, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2821875030776266, std values: 0.846364102746727, min values: -2.1615535666033687, max values: 3.477886732511886, median values: 0.3696466437847118, and quantile values: 0.25 -0.304286\n0.50 0.369647\n0.75 0.901030\nName: 2835, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.055561136070948716, std values: 0.8009770299225126, min values: -2.6899145007874274, max values: 3.141939528112806, median values: -0.0212344060261825, and quantile values: 0.25 -0.453991\n0.50 -0.021234\n0.75 0.537241\nName: 2836, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5082672782638485, std values: 1.2268419844256127, min values: -2.8350118695332047, max values: 5.0, median values: 0.4946474957763896, and quantile values: 0.25 -0.261854\n0.50 0.494647\n0.75 1.305991\nName: 2837, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10437321379621452, std values: 0.9638427471292279, min values: -2.098757565199457, max values: 4.0, median values: -0.2211398786893794, and quantile values: 0.25 -0.836466\n0.50 -0.221140\n0.75 0.573769\nName: 2838, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32765971798505666, std values: 0.7838863308826294, min values: -2.102760548955074, max values: 6.0, median values: 0.2501065587774001, and quantile values: 0.25 -0.208627\n0.50 0.250107\n0.75 0.851592\nName: 2839, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3157203992082438, std values: 1.0861656766213763, min values: -2.739804196611005, max values: 6.0, median values: -0.2182114976991497, and quantile values: 0.25 -1.109293\n0.50 -0.218211\n0.75 0.463368\nName: 2840, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4085220812530796, std values: 0.7982454508936592, min values: -2.340583821195456, max values: 6.0, median values: 0.4538385054101287, and quantile values: 0.25 -0.121277\n0.50 0.453839\n0.75 0.951072\nName: 2841, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5318016032340654, std values: 1.2580985378107055, min values: -2.9622221028070275, max values: 4.0, median values: 0.6700309356161982, and quantile values: 0.25 -0.242300\n0.50 0.670031\n0.75 1.533479\nName: 2842, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.027904357660229414, std values: 0.814917360587639, min values: -2.0681185926384043, max values: 3.0, median values: -0.076192316628957, and quantile values: 0.25 -0.566392\n0.50 -0.076192\n0.75 0.491391\nName: 2843, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07065140642040493, std values: 0.8916882997309409, min values: -2.140398613737501, max values: 3.2701555622463814, median values: -0.1658833680235042, and quantile values: 0.25 -0.754725\n0.50 -0.165883\n0.75 0.512430\nName: 2844, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2724925233935078, std values: 1.0015094244926495, min values: -2.64479559868397, max values: 6.0, median values: 0.1469815777690182, and quantile values: 0.25 -0.401903\n0.50 0.146982\n0.75 0.909432\nName: 2845, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17466087188681934, std values: 1.000003361910402, min values: -2.769191083399913, max values: 4.026668017837955, median values: 0.0868714068761224, and quantile values: 0.25 -0.449178\n0.50 0.086871\n0.75 0.705165\nName: 2846, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1315733047363854, std values: 0.7979179887893197, min values: -2.149743899676465, max values: 4.0, median values: -0.1524161276357562, and quantile values: 0.25 -0.691425\n0.50 -0.152416\n0.75 0.366641\nName: 2847, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2119997164921206, std values: 0.7347324464190919, min values: -2.4176069991382847, max values: 6.0, median values: 0.231650485094908, and quantile values: 0.25 -0.243918\n0.50 0.231650\n0.75 0.664016\nName: 2848, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17302141688242054, std values: 1.0195957485896372, min values: -2.622408470084112, max values: 3.0, median values: 0.2321597031399383, and quantile values: 0.25 -0.565513\n0.50 0.232160\n0.75 0.991626\nName: 2849, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4974829001089062, std values: 1.1449560000552748, min values: -2.769191083399913, max values: 3.5021977227593246, median values: -0.3364382843764127, and quantile values: 0.25 -1.354259\n0.50 -0.336438\n0.75 0.292654\nName: 2850, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5855750513771024, std values: 0.9717645330003774, min values: -2.461308921153724, max values: 3.709787027503053, median values: 0.6389935431752856, and quantile values: 0.25 -0.109552\n0.50 0.638994\n0.75 1.336945\nName: 2851, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16230752519074731, std values: 0.8154874631519419, min values: -2.838932175687192, max values: 4.0, median values: 0.1655086689818236, and quantile values: 0.25 -0.347664\n0.50 0.165509\n0.75 0.640983\nName: 2852, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7680675727887128, std values: 0.8844154108330509, min values: -2.982771139679002, max values: 4.0, median values: -0.8455126838484913, and quantile values: 0.25 -1.392850\n0.50 -0.845513\n0.75 -0.214428\nName: 2853, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3454508007590202, std values: 0.82130183812529, min values: -2.4176069991382847, max values: 6.0, median values: 0.4181308352905406, and quantile values: 0.25 -0.200134\n0.50 0.418131\n0.75 0.919753\nName: 2854, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41574744518021206, std values: 0.9505383716265078, min values: -2.860922438481449, max values: 2.9245279250138942, median values: -0.5033202876166627, and quantile values: 0.25 -1.046380\n0.50 -0.503320\n0.75 0.202804\nName: 2855, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1421323104706489, std values: 0.9475721765928218, min values: -2.879968592907284, max values: 4.0, median values: -0.0615831530231727, and quantile values: 0.25 -0.777786\n0.50 -0.061583\n0.75 0.516108\nName: 2856, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14360742053230532, std values: 1.0123864401594447, min values: -2.6270253558526173, max values: 4.243835016543704, median values: -0.18742600783976, and quantile values: 0.25 -0.840837\n0.50 -0.187426\n0.75 0.542176\nName: 2857, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4828183912978204, std values: 0.8337937383132875, min values: -2.0965109964186563, max values: 3.0, median values: -0.5821761198471965, and quantile values: 0.25 -1.143608\n0.50 -0.582176\n0.75 0.067409\nName: 2858, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39942111885994214, std values: 0.9369721153588205, min values: -2.841647375415054, max values: 5.0, median values: -0.2242170180103386, and quantile values: 0.25 -0.957893\n0.50 -0.224217\n0.75 0.219052\nName: 2859, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17786173617418152, std values: 0.9221080025668785, min values: -2.869671295224012, max values: 6.0, median values: -0.1808874733337459, and quantile values: 0.25 -0.714056\n0.50 -0.180887\n0.75 0.340843\nName: 2860, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7674495590773236, std values: 0.9444440215020566, min values: -2.6652153608723106, max values: 3.477886732511886, median values: -0.9315631149638884, and quantile values: 0.25 -1.524697\n0.50 -0.931563\n0.75 -0.130787\nName: 2861, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0006073464704706514, std values: 0.8745354504290238, min values: -2.044138536277291, max values: 3.709787027503053, median values: -0.0629965124398818, and quantile values: 0.25 -0.592596\n0.50 -0.062997\n0.75 0.522127\nName: 2862, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.008695685109844266, std values: 1.1847395109748977, min values: -2.837386543755612, max values: 4.0, median values: 0.1820999540755882, and quantile values: 0.25 -0.715215\n0.50 0.182100\n0.75 0.902818\nName: 2863, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2126307365034271, std values: 0.8781931699209173, min values: -2.120681876014718, max values: 6.0, median values: -0.3151290971201132, and quantile values: 0.25 -0.822563\n0.50 -0.315129\n0.75 0.333513\nName: 2864, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25549334335676555, std values: 0.9627021476402102, min values: -2.5668911794391143, max values: 3.518664430018096, median values: -0.3789464877549051, and quantile values: 0.25 -1.031592\n0.50 -0.378946\n0.75 0.429500\nName: 2865, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11033028059934574, std values: 0.806979603510026, min values: -2.098643832039722, max values: 6.0, median values: 0.1765647675864491, and quantile values: 0.25 -0.451184\n0.50 0.176565\n0.75 0.685763\nName: 2866, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5311973184417016, std values: 0.902945061220458, min values: -1.9680164995180616, max values: 3.17157439250477, median values: 0.6022276206776943, and quantile values: 0.25 -0.135577\n0.50 0.602228\n0.75 1.271784\nName: 2867, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36970674632417605, std values: 0.887973459904712, min values: -2.5859127503381347, max values: 3.3636961113187773, median values: -0.4720781367071767, and quantile values: 0.25 -0.968983\n0.50 -0.472078\n0.75 0.194350\nName: 2868, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24107837426833173, std values: 0.8536125318378526, min values: -2.5689076212724418, max values: 5.0, median values: -0.3161052073417116, and quantile values: 0.25 -0.884344\n0.50 -0.316105\n0.75 0.295127\nName: 2869, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22804402536862434, std values: 0.7612491294772431, min values: -2.4737574649270093, max values: 3.103622965243153, median values: -0.283525110912222, and quantile values: 0.25 -0.768370\n0.50 -0.283525\n0.75 0.239660\nName: 2870, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14629988844532443, std values: 0.8359342374515109, min values: -2.7314147016889114, max values: 3.0, median values: 0.1787969738521922, and quantile values: 0.25 -0.432145\n0.50 0.178797\n0.75 0.671243\nName: 2871, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2742899062475199, std values: 0.7882078749764435, min values: -2.1587143377696023, max values: 5.0, median values: -0.3421211691907221, and quantile values: 0.25 -0.827228\n0.50 -0.342121\n0.75 0.215066\nName: 2872, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23441710500130383, std values: 0.7664130091163336, min values: -2.1813379867453344, max values: 3.1888787873512885, median values: 0.2537424887107926, and quantile values: 0.25 -0.245307\n0.50 0.253742\n0.75 0.691665\nName: 2873, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20127921876898255, std values: 0.8720755916613483, min values: -2.607565022042742, max values: 4.0, median values: 0.3008557422979354, and quantile values: 0.25 -0.269787\n0.50 0.300856\n0.75 0.753814\nName: 2874, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7228476786352364, std values: 1.8306560585895633, min values: -2.944950884974346, max values: 3.4566816047670264, median values: -1.7293870990315554, and quantile values: 0.25 -2.250579\n0.50 -1.729387\n0.75 0.792050\nName: 2875, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0675270554183135, std values: 0.757526085406478, min values: -2.5213149333948146, max values: 3.041094191308108, median values: 0.0998026693567993, and quantile values: 0.25 -0.418743\n0.50 0.099803\n0.75 0.559036\nName: 2876, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1156425232785079, std values: 0.8312770016183653, min values: -3.002493140275396, max values: 5.0, median values: 0.0317937641140172, and quantile values: 0.25 -0.463157\n0.50 0.031794\n0.75 0.652561\nName: 2877, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.018214309763064342, std values: 0.925334077930854, min values: -2.129106615513547, max values: 5.0, median values: -0.105558325361621, and quantile values: 0.25 -0.712423\n0.50 -0.105558\n0.75 0.652970\nName: 2878, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7164515698571308, std values: 0.9775907339889194, min values: -2.1047747435038886, max values: 3.155170554159904, median values: 0.7655461686215754, and quantile values: 0.25 -0.010906\n0.50 0.765546\n0.75 1.548510\nName: 2879, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42585075156823843, std values: 1.0156512412131862, min values: -2.842989614395848, max values: 5.0, median values: -0.4827959817585204, and quantile values: 0.25 -1.202873\n0.50 -0.482796\n0.75 0.227551\nName: 2880, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5426165695015432, std values: 1.129798815254534, min values: -2.1301704007793827, max values: 3.5427287984042666, median values: 0.3889198736627303, and quantile values: 0.25 -0.367746\n0.50 0.388920\n0.75 1.429399\nName: 2881, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3030224401386726, std values: 0.948064443643228, min values: -2.169311742921253, max values: 6.0, median values: 0.3373404761251018, and quantile values: 0.25 -0.376614\n0.50 0.337340\n0.75 0.987286\nName: 2882, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3496460010220194, std values: 0.7187034120804991, min values: -2.860922438481449, max values: 3.349054967837474, median values: 0.390067238159382, and quantile values: 0.25 -0.080112\n0.50 0.390067\n0.75 0.803953\nName: 2883, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4437034705003658, std values: 0.7963921250084272, min values: -2.4737574649270093, max values: 3.2906806286429298, median values: 0.51996911108671, and quantile values: 0.25 -0.111668\n0.50 0.519969\n0.75 1.024352\nName: 2884, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17903631592630923, std values: 0.8728156541399245, min values: -2.876502173242568, max values: 3.191712471143802, median values: 0.2752326183259088, and quantile values: 0.25 -0.319081\n0.50 0.275233\n0.75 0.750834\nName: 2885, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27338654982356886, std values: 1.0421659586324672, min values: -2.212717022499921, max values: 6.0, median values: -0.487847788602106, and quantile values: 0.25 -1.114945\n0.50 -0.487848\n0.75 0.469111\nName: 2886, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1435160675454328, std values: 0.8094374426312639, min values: -2.3528267021993168, max values: 3.5908526919299577, median values: -0.1594975527861054, and quantile values: 0.25 -0.710685\n0.50 -0.159498\n0.75 0.366608\nName: 2887, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6766794889501253, std values: 1.1870910417122302, min values: -2.1136270387555465, max values: 3.867701659180865, median values: 0.583772810859631, and quantile values: 0.25 -0.282703\n0.50 0.583773\n0.75 1.739050\nName: 2888, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2713535680444414, std values: 0.8801412868703313, min values: -2.607565022042742, max values: 4.0, median values: -0.2440304884596842, and quantile values: 0.25 -0.864288\n0.50 -0.244030\n0.75 0.282727\nName: 2889, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8552160634937382, std values: 1.5213430843623659, min values: -2.727901130262228, max values: 4.0, median values: -1.6842246352128796, and quantile values: 0.25 -2.140874\n0.50 -1.684225\n0.75 0.447102\nName: 2890, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16115644666949133, std values: 0.8920805378539365, min values: -2.475272102106495, max values: 4.243835016543704, median values: -0.1963989008619652, and quantile values: 0.25 -0.812045\n0.50 -0.196399\n0.75 0.422764\nName: 2891, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7642817196476258, std values: 1.017226749367602, min values: -2.9622221028070275, max values: 6.0, median values: -0.7761844619218509, and quantile values: 0.25 -1.408928\n0.50 -0.776184\n0.75 -0.137154\nName: 2892, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17659759354382765, std values: 0.9386624923733237, min values: -2.6404955031131814, max values: 5.0, median values: 0.2735638139592414, and quantile values: 0.25 -0.424736\n0.50 0.273564\n0.75 0.842720\nName: 2893, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3375507428439783, std values: 0.9354691657971036, min values: -2.118599024240829, max values: 6.0, median values: -0.3912406306434842, and quantile values: 0.25 -1.091791\n0.50 -0.391241\n0.75 0.302685\nName: 2894, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4146984204487067, std values: 0.8545066619445008, min values: -2.73836943861057, max values: 3.528773265847577, median values: -0.522915956448769, and quantile values: 0.25 -1.066115\n0.50 -0.522916\n0.75 0.150695\nName: 2895, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03446617536783108, std values: 0.8569648396410388, min values: -2.5743883495350026, max values: 5.0, median values: 0.1101701740889725, and quantile values: 0.25 -0.517052\n0.50 0.110170\n0.75 0.634503\nName: 2896, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07691838544896006, std values: 0.9318992968582528, min values: -2.8246479422601736, max values: 5.0, median values: -0.0912817332427227, and quantile values: 0.25 -0.642650\n0.50 -0.091282\n0.75 0.526076\nName: 2897, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6162859857870248, std values: 1.0252770843168002, min values: -2.58435620939219, max values: 3.5908526919299577, median values: -0.7633699368114337, and quantile values: 0.25 -1.475987\n0.50 -0.763370\n0.75 0.114665\nName: 2898, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7795831270324975, std values: 0.9774919205847107, min values: -2.5039074859839925, max values: 4.0, median values: 0.8321230617907921, and quantile values: 0.25 0.118163\n0.50 0.832123\n0.75 1.513608\nName: 2899, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01682796308291293, std values: 0.9160517240109683, min values: -2.64479559868397, max values: 6.0, median values: 0.0327500967409122, and quantile values: 0.25 -0.607593\n0.50 0.032750\n0.75 0.549473\nName: 2900, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30056852976705584, std values: 0.8218529009476665, min values: -2.212004168819108, max values: 4.026668017837955, median values: 0.3249304109673648, and quantile values: 0.25 -0.218163\n0.50 0.324930\n0.75 0.846773\nName: 2901, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09680011339574457, std values: 0.8147263578088775, min values: -2.3785517846956816, max values: 3.5021977227593246, median values: 0.1373839552100811, and quantile values: 0.25 -0.475162\n0.50 0.137384\n0.75 0.649610\nName: 2902, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15358904163620782, std values: 0.9157213863606487, min values: -2.6404955031131814, max values: 5.0, median values: -0.1951356553177877, and quantile values: 0.25 -0.728200\n0.50 -0.195136\n0.75 0.431664\nName: 2903, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40813530384117913, std values: 0.827003566225161, min values: -1.926931762770196, max values: 4.243835016543704, median values: 0.4413752817112898, and quantile values: 0.25 -0.167330\n0.50 0.441375\n0.75 0.999987\nName: 2904, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.013370640714035377, std values: 0.7777850414573657, min values: -2.475778245535816, max values: 4.0, median values: -0.0499495371235149, and quantile values: 0.25 -0.526881\n0.50 -0.049950\n0.75 0.425279\nName: 2905, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4091942285854713, std values: 0.8198103273420291, min values: -1.869379142589691, max values: 4.026668017837955, median values: 0.4839950741556985, and quantile values: 0.25 -0.090148\n0.50 0.483995\n0.75 0.964081\nName: 2906, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3154170065278313, std values: 0.8170957591732785, min values: -2.788272971802125, max values: 6.0, median values: -0.4141291362562554, and quantile values: 0.25 -0.899683\n0.50 -0.414129\n0.75 0.195707\nName: 2907, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18321973848048742, std values: 0.8500732647792569, min values: -2.099713839971814, max values: 5.0, median values: 0.1659878968627836, and quantile values: 0.25 -0.404312\n0.50 0.165988\n0.75 0.747144\nName: 2908, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13353543076057323, std values: 0.871715523873308, min values: -2.710223074556336, max values: 4.0, median values: -0.1274267424115996, and quantile values: 0.25 -0.821635\n0.50 -0.127427\n0.75 0.474395\nName: 2909, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01906065444370157, std values: 0.8581131488226541, min values: -1.997879781912544, max values: 3.784832159836258, median values: -0.0719948319898509, and quantile values: 0.25 -0.620664\n0.50 -0.071995\n0.75 0.520402\nName: 2910, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10095322921120026, std values: 0.8358909232308264, min values: -2.226424194672579, max values: 4.0, median values: 0.0314863617239768, and quantile values: 0.25 -0.452449\n0.50 0.031486\n0.75 0.624799\nName: 2911, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4853081504171342, std values: 1.0303326769514518, min values: -2.5293911731823453, max values: 3.0, median values: -0.5004084293089432, and quantile values: 0.25 -1.127774\n0.50 -0.500408\n0.75 0.225188\nName: 2912, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3669893254657993, std values: 0.9241995520352865, min values: -2.618746139350171, max values: 3.379902545505621, median values: -0.4391730571905204, and quantile values: 0.25 -1.040731\n0.50 -0.439173\n0.75 0.174285\nName: 2913, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1372950509100185, std values: 0.76410649613657, min values: -2.4564928597243227, max values: 4.0, median values: 0.1461067147338464, and quantile values: 0.25 -0.359581\n0.50 0.146107\n0.75 0.625428\nName: 2914, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4155084066783216, std values: 0.8343591238228036, min values: -2.142854198138545, max values: 5.0, median values: 0.4718626492453484, and quantile values: 0.25 -0.125688\n0.50 0.471863\n0.75 1.005457\nName: 2915, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09853216189271692, std values: 0.8461251859384964, min values: -2.0475875918146023, max values: 6.0, median values: 0.1331595023926882, and quantile values: 0.25 -0.502891\n0.50 0.133160\n0.75 0.641837\nName: 2916, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37287246993343776, std values: 0.8735413919122635, min values: -2.642042398333877, max values: 3.0, median values: -0.4233360456084879, and quantile values: 0.25 -0.951964\n0.50 -0.423336\n0.75 0.146703\nName: 2917, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1564751050119833, std values: 0.9653347149484414, min values: -2.6072570508709387, max values: 4.0, median values: -0.2126721141185256, and quantile values: 0.25 -0.820461\n0.50 -0.212672\n0.75 0.480499\nName: 2918, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06992549857830008, std values: 1.0129702098208009, min values: -2.673549169958716, max values: 6.0, median values: -0.0296641901611457, and quantile values: 0.25 -0.630869\n0.50 -0.029664\n0.75 0.545217\nName: 2919, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.061784959268092784, std values: 0.8694365284360442, min values: -2.442256129120324, max values: 6.0, median values: 0.1108359929759368, and quantile values: 0.25 -0.507569\n0.50 0.110836\n0.75 0.587895\nName: 2920, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5086704124682755, std values: 1.101873050497454, min values: -2.6320986139293034, max values: 3.349054967837474, median values: 0.7420201151453402, and quantile values: 0.25 -0.039750\n0.50 0.742020\n0.75 1.274633\nName: 2921, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09481719991365913, std values: 0.841933882124019, min values: -2.579952672199424, max values: 6.0, median values: -0.197996063714333, and quantile values: 0.25 -0.684508\n0.50 -0.197996\n0.75 0.477862\nName: 2922, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32238801497438746, std values: 0.9391465427747484, min values: -2.916688926075616, max values: 6.0, median values: 0.4180722108046554, and quantile values: 0.25 -0.223733\n0.50 0.418072\n0.75 0.929593\nName: 2923, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4188257108149629, std values: 0.9199505061482826, min values: -2.196708653609315, max values: 6.0, median values: -0.5077246519011708, and quantile values: 0.25 -1.132729\n0.50 -0.507725\n0.75 0.201902\nName: 2924, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17478875613943165, std values: 0.8228431533894673, min values: -2.093800662299286, max values: 5.0, median values: -0.1790138905759445, and quantile values: 0.25 -0.780139\n0.50 -0.179014\n0.75 0.354477\nName: 2925, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44867989263913144, std values: 0.7752254068737965, min values: -2.6635706018350787, max values: 3.071284484560209, median values: -0.4941667691955862, and quantile values: 0.25 -0.983330\n0.50 -0.494167\n0.75 0.002781\nName: 2926, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16174828443707667, std values: 0.9284100298782737, min values: -2.6820581866633817, max values: 3.0, median values: -0.2458909418211063, and quantile values: 0.25 -0.797200\n0.50 -0.245891\n0.75 0.438961\nName: 2927, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5854070859442893, std values: 0.8918382150264175, min values: -2.156806272086999, max values: 3.630507857092792, median values: 0.5034275947064297, and quantile values: 0.25 -0.009336\n0.50 0.503428\n0.75 1.225495\nName: 2928, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3710710458257599, std values: 0.853961008096649, min values: -2.4536054974529624, max values: 6.0, median values: 0.2614032040196827, and quantile values: 0.25 -0.208430\n0.50 0.261403\n0.75 0.955614\nName: 2929, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3000894458603621, std values: 0.7632801853104083, min values: -2.5422910691068967, max values: 3.5581019918925243, median values: 0.3559869899701839, and quantile values: 0.25 -0.182492\n0.50 0.355987\n0.75 0.773507\nName: 2930, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24926860264949557, std values: 0.9278146764913341, min values: -2.572123985342288, max values: 4.0, median values: 0.1207341125379885, and quantile values: 0.25 -0.384312\n0.50 0.120734\n0.75 0.832785\nName: 2931, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3701063413205221, std values: 0.7928896481277168, min values: -3.0223671288921072, max values: 3.3483277116524426, median values: -0.3877538536551551, and quantile values: 0.25 -0.928067\n0.50 -0.387754\n0.75 0.084840\nName: 2932, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3574174041958012, std values: 1.129298153617875, min values: -2.6800544037614658, max values: 4.0, median values: -0.1347928601930634, and quantile values: 0.25 -1.134195\n0.50 -0.134793\n0.75 0.475992\nName: 2933, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09614985125105342, std values: 0.7806432139602777, min values: -2.6404955031131814, max values: 6.0, median values: 0.1066412275598047, and quantile values: 0.25 -0.414737\n0.50 0.106641\n0.75 0.561773\nName: 2934, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20532147823986302, std values: 0.9721043550140338, min values: -2.579952672199424, max values: 6.0, median values: -0.3083060293697607, and quantile values: 0.25 -1.018506\n0.50 -0.308306\n0.75 0.464473\nName: 2935, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21247980199947564, std values: 0.7928983234972302, min values: -2.374446373878101, max values: 4.0, median values: -0.3109273449187293, and quantile values: 0.25 -0.775597\n0.50 -0.310927\n0.75 0.247596\nName: 2936, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1532875709494679, std values: 0.9239533327503059, min values: -2.657750824678472, max values: 5.0, median values: -0.0948454673611624, and quantile values: 0.25 -0.774225\n0.50 -0.094845\n0.75 0.415159\nName: 2937, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0721666339771177, std values: 0.8103624276159491, min values: -2.222049826555007, max values: 3.569037956734876, median values: -0.1077451017419456, and quantile values: 0.25 -0.605775\n0.50 -0.107745\n0.75 0.410810\nName: 2938, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18245502991754253, std values: 1.2740674079018581, min values: -2.933035609461076, max values: 5.0, median values: -0.216316644116385, and quantile values: 0.25 -1.034362\n0.50 -0.216317\n0.75 0.755700\nName: 2939, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09293587379016291, std values: 0.7990102515241913, min values: -2.476285024008804, max values: 3.867701659180865, median values: -0.1767568172031305, and quantile values: 0.25 -0.634333\n0.50 -0.176757\n0.75 0.368467\nName: 2940, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3561407346874965, std values: 0.7928436632812386, min values: -2.525362520654854, max values: 5.0, median values: 0.3151787728201125, and quantile values: 0.25 -0.151986\n0.50 0.315179\n0.75 0.867452\nName: 2941, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5067535514505738, std values: 1.0161389235421492, min values: -2.7428415536925543, max values: 5.0, median values: -0.5411633026740662, and quantile values: 0.25 -1.146223\n0.50 -0.541163\n0.75 0.163008\nName: 2942, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.015227927812990717, std values: 0.8542812316969305, min values: -2.590643619371846, max values: 4.0, median values: -0.0168994750517737, and quantile values: 0.25 -0.504470\n0.50 -0.016899\n0.75 0.560614\nName: 2943, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.46644885598491753, std values: 0.9929726704132192, min values: -2.732564679617164, max values: 3.9905524164385566, median values: 0.5992570417756676, and quantile values: 0.25 -0.230265\n0.50 0.599257\n0.75 1.184751\nName: 2944, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27942926464981205, std values: 0.8267476998784803, min values: -2.6850842010492566, max values: 6.0, median values: -0.3532422530711885, and quantile values: 0.25 -0.896214\n0.50 -0.353242\n0.75 0.238955\nName: 2945, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15959291341973428, std values: 0.9371080478817585, min values: -2.643887016977268, max values: 6.0, median values: -0.1497938409618492, and quantile values: 0.25 -0.821734\n0.50 -0.149794\n0.75 0.451276\nName: 2946, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24069463929659837, std values: 0.8864960305164175, min values: -1.9801125246125888, max values: 3.630507857092792, median values: 0.1698950359148272, and quantile values: 0.25 -0.395454\n0.50 0.169895\n0.75 0.824986\nName: 2947, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.025610353080658177, std values: 0.9346764714594552, min values: -2.497627580948261, max values: 3.477886732511886, median values: -0.0187278275624553, and quantile values: 0.25 -0.564958\n0.50 -0.018728\n0.75 0.552609\nName: 2948, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24481458760907007, std values: 0.7738148971479034, min values: -2.4536054974529624, max values: 6.0, median values: -0.3225677348451851, and quantile values: 0.25 -0.764724\n0.50 -0.322568\n0.75 0.216655\nName: 2949, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5383475910214243, std values: 0.7870446982237822, min values: -2.1217267615601973, max values: 3.5021977227593246, median values: -0.6740749281847941, and quantile values: 0.25 -1.095639\n0.50 -0.674075\n0.75 -0.105395\nName: 2950, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5495943594940398, std values: 0.8903057246524795, min values: -2.6270253558526173, max values: 4.0, median values: -0.4865354700063566, and quantile values: 0.25 -1.105839\n0.50 -0.486535\n0.75 -0.006027\nName: 2951, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6031308564759116, std values: 0.843094663038974, min values: -2.439930808627264, max values: 4.0, median values: 0.6545702993676328, and quantile values: 0.25 0.059381\n0.50 0.654570\n0.75 1.177704\nName: 2952, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1341263878870493, std values: 1.2021655744873811, min values: -2.6270253558526173, max values: 4.0, median values: 0.0075158431785476, and quantile values: 0.25 -0.995826\n0.50 0.007516\n0.75 0.798502\nName: 2953, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3567001943767619, std values: 0.9896130648893992, min values: -2.6660404517971856, max values: 4.0, median values: -0.4527891737842625, and quantile values: 0.25 -1.008675\n0.50 -0.452789\n0.75 0.248181\nName: 2954, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37933973891182005, std values: 0.8223914428724783, min values: -1.9862942639163563, max values: 6.0, median values: -0.4748506478375818, and quantile values: 0.25 -1.003109\n0.50 -0.474851\n0.75 0.154855\nName: 2955, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.00778290086177414, std values: 0.8117728757912099, min values: -2.091009825196596, max values: 4.0, median values: -0.0355774331744598, and quantile values: 0.25 -0.522474\n0.50 -0.035577\n0.75 0.531460\nName: 2956, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22219031952590226, std values: 1.049077569294086, min values: -2.213354504033011, max values: 3.103622965243153, median values: -0.3270966118761477, and quantile values: 0.25 -1.145161\n0.50 -0.327097\n0.75 0.566650\nName: 2957, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25246438985676245, std values: 0.8308756758315582, min values: -2.783691185534105, max values: 3.867701659180865, median values: 0.3160762573121493, and quantile values: 0.25 -0.323187\n0.50 0.316076\n0.75 0.872628\nName: 2958, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37798825964809496, std values: 0.8862506410020988, min values: -2.6685266729136536, max values: 6.0, median values: -0.5212117173578849, and quantile values: 0.25 -1.027522\n0.50 -0.521212\n0.75 0.161194\nName: 2959, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20588045315633388, std values: 0.7157814646096864, min values: -2.248504220857508, max values: 5.0, median values: 0.2117293803131153, and quantile values: 0.25 -0.243718\n0.50 0.211729\n0.75 0.631945\nName: 2960, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2807724824056793, std values: 0.9421789354580336, min values: -2.1475280888671984, max values: 3.224152805256112, median values: -0.3217265597826605, and quantile values: 0.25 -1.055330\n0.50 -0.321727\n0.75 0.383838\nName: 2961, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43425933914850645, std values: 1.1812462256103398, min values: -3.05087304133376, max values: 5.0, median values: 0.6454129687561906, and quantile values: 0.25 -0.135994\n0.50 0.645413\n0.75 1.202191\nName: 2962, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1839013418791328, std values: 0.9585964979308276, min values: -2.5953860446419177, max values: 5.0, median values: 0.2896954257485105, and quantile values: 0.25 -0.291323\n0.50 0.289695\n0.75 0.812560\nName: 2963, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7310168885879156, std values: 0.7968191067584199, min values: -2.044138536277291, max values: 3.434669824302974, median values: 0.8104577817271155, and quantile values: 0.25 0.204773\n0.50 0.810458\n0.75 1.321045\nName: 2964, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17608207333452366, std values: 1.1430636225025634, min values: -2.7542003929097176, max values: 5.0, median values: 0.0387229934679713, and quantile values: 0.25 -0.924979\n0.50 0.038723\n0.75 0.607053\nName: 2965, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6863869236202392, std values: 0.9523970594989819, min values: -2.072108449798908, max values: 3.598076523509904, median values: 0.7557264406920838, and quantile values: 0.25 0.000964\n0.50 0.755726\n0.75 1.438423\nName: 2966, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06663931289129466, std values: 0.7522083375485515, min values: -2.2915911556076085, max values: 3.281452258958016, median values: 0.1098848381049884, and quantile values: 0.25 -0.462368\n0.50 0.109885\n0.75 0.593403\nName: 2967, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4834319441994719, std values: 1.0201430075472024, min values: -2.7542003929097176, max values: 5.0, median values: -0.4220217962315427, and quantile values: 0.25 -1.267273\n0.50 -0.422022\n0.75 0.197707\nName: 2968, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3621648699968407, std values: 0.8442671944166981, min values: -2.1136270387555465, max values: 3.2936960268109283, median values: 0.4380950364559066, and quantile values: 0.25 -0.211104\n0.50 0.438095\n0.75 0.966938\nName: 2969, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3543348924922507, std values: 0.9272544738455433, min values: -2.6320986139293034, max values: 3.784832159836258, median values: -0.3528663332448627, and quantile values: 0.25 -0.997225\n0.50 -0.352866\n0.75 0.249766\nName: 2970, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3146144447505555, std values: 0.8835486013345741, min values: -2.607565022042742, max values: 4.0, median values: -0.3715934569466045, and quantile values: 0.25 -0.905470\n0.50 -0.371593\n0.75 0.267484\nName: 2971, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.048884840453310076, std values: 0.7508049579355046, min values: -2.161181455793125, max values: 6.0, median values: 0.0603045173759081, and quantile values: 0.25 -0.444556\n0.50 0.060305\n0.75 0.481674\nName: 2972, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.032660219732566984, std values: 0.8732792326111518, min values: -2.4823451998031074, max values: 3.0, median values: 0.0021507415644946, and quantile values: 0.25 -0.578736\n0.50 0.002151\n0.75 0.508822\nName: 2973, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.038282468567621485, std values: 1.0360345610280155, min values: -2.6652153608723106, max values: 3.2266531185902125, median values: -0.0044338439299265, and quantile values: 0.25 -0.729673\n0.50 -0.004434\n0.75 0.737864\nName: 2974, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08910580616211786, std values: 1.0688597942875318, min values: -2.605844844843939, max values: 4.0, median values: 0.0055078904603563, and quantile values: 0.25 -0.724472\n0.50 0.005508\n0.75 0.576111\nName: 2975, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15401944394748363, std values: 0.8033924264275264, min values: -2.100754849305273, max values: 4.243835016543704, median values: -0.1825199660488243, and quantile values: 0.25 -0.696364\n0.50 -0.182520\n0.75 0.312836\nName: 2976, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29867323629186304, std values: 0.9325295643041341, min values: -2.0851554069246285, max values: 4.0, median values: 0.2613462114958038, and quantile values: 0.25 -0.286106\n0.50 0.261346\n0.75 0.812658\nName: 2977, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08952941186102956, std values: 0.7872921078727962, min values: -2.7939007019027, max values: 2.9666813816765742, median values: 0.1446258109463788, and quantile values: 0.25 -0.438930\n0.50 0.144626\n0.75 0.594738\nName: 2978, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15075788418777258, std values: 0.832669272009852, min values: -2.212823679608249, max values: 4.0, median values: 0.1542575053853544, and quantile values: 0.25 -0.399210\n0.50 0.154258\n0.75 0.709196\nName: 2979, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13330784854226735, std values: 0.9416711001156597, min values: -3.0687217584296813, max values: 2.802380784572148, median values: -0.119667925307683, and quantile values: 0.25 -0.757493\n0.50 -0.119668\n0.75 0.477968\nName: 2980, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3593608394632639, std values: 0.9489969484951046, min values: -2.9472833478224456, max values: 6.0, median values: -0.4606259112792695, and quantile values: 0.25 -0.955540\n0.50 -0.460626\n0.75 0.215671\nName: 2981, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24302471659959904, std values: 1.304716840989253, min values: -2.539310178205462, max values: 4.243835016543704, median values: 0.0863020484422175, and quantile values: 0.25 -0.742274\n0.50 0.086302\n0.75 1.023487\nName: 2982, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4129552415414044, std values: 0.9207719651273766, min values: -2.58513369695146, max values: 4.0, median values: -0.3805721969943155, and quantile values: 0.25 -1.092733\n0.50 -0.380572\n0.75 0.236280\nName: 2983, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.339695505191537, std values: 1.1188503340990787, min values: -2.982771139679002, max values: 4.0, median values: -1.7338268929561054, and quantile values: 0.25 -2.225969\n0.50 -1.733827\n0.75 -0.487715\nName: 2984, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37417317007700407, std values: 0.8711090405433817, min values: -2.6850842010492566, max values: 6.0, median values: 0.4023135184611821, and quantile values: 0.25 -0.259665\n0.50 0.402314\n0.75 1.032577\nName: 2985, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10291603867479408, std values: 0.7922586842798952, min values: -2.1263725557928383, max values: 3.5427287984042666, median values: 0.0627198025080286, and quantile values: 0.25 -0.408291\n0.50 0.062720\n0.75 0.581476\nName: 2986, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22576899190372177, std values: 0.8924435578284748, min values: -2.622709665346679, max values: 4.026668017837955, median values: -0.2779677247074994, and quantile values: 0.25 -0.780285\n0.50 -0.277968\n0.75 0.291643\nName: 2987, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4955648605161392, std values: 0.9062717876569899, min values: -2.634919142586459, max values: 6.0, median values: -0.6431152000936697, and quantile values: 0.25 -1.111651\n0.50 -0.643115\n0.75 0.016359\nName: 2988, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.9802735427275284, std values: 1.0451198509323323, min values: -2.62876542141649, max values: 3.627976272701048, median values: 0.9732865632035024, and quantile values: 0.25 0.197321\n0.50 0.973287\n0.75 1.874558\nName: 2989, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.055445938134472225, std values: 0.7266625558340811, min values: -2.5689076212724418, max values: 5.0, median values: -0.0304907433642028, and quantile values: 0.25 -0.565097\n0.50 -0.030491\n0.75 0.417740\nName: 2990, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07336524391512361, std values: 0.8470559654307532, min values: -2.1248753939751497, max values: 5.0, median values: -0.1932501154984734, and quantile values: 0.25 -0.684968\n0.50 -0.193250\n0.75 0.451581\nName: 2991, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.029460330828145642, std values: 1.138916191643735, min values: -2.8297583842718432, max values: 5.0, median values: 0.001725319681969, and quantile values: 0.25 -0.753749\n0.50 0.001725\n0.75 0.830295\nName: 2992, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2284438863309083, std values: 0.7591319455824, min values: -2.087432639025188, max values: 4.0, median values: -0.3208276242973129, and quantile values: 0.25 -0.785448\n0.50 -0.320828\n0.75 0.246914\nName: 2993, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18235522055001313, std values: 0.8410811835737535, min values: -2.0903611962432427, max values: 3.336438412828754, median values: 0.200949196122506, and quantile values: 0.25 -0.363491\n0.50 0.200949\n0.75 0.725263\nName: 2994, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17243785582772425, std values: 0.7276424005492783, min values: -2.2012167772695554, max values: 3.336438412828754, median values: -0.2105410189214419, and quantile values: 0.25 -0.660418\n0.50 -0.210541\n0.75 0.259808\nName: 2995, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07500479756218625, std values: 0.9052363838014259, min values: -2.3922473154067863, max values: 5.0, median values: 0.0086749924191654, and quantile values: 0.25 -0.571994\n0.50 0.008675\n0.75 0.674040\nName: 2996, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13254680710883623, std values: 0.8266633162593219, min values: -2.117042895443173, max values: 6.0, median values: 0.1152311355346429, and quantile values: 0.25 -0.452449\n0.50 0.115231\n0.75 0.665493\nName: 2997, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.025989593360847354, std values: 0.8499530892175482, min values: -2.058629196027331, max values: 3.280245386470253, median values: -0.098778679577374, and quantile values: 0.25 -0.642476\n0.50 -0.098779\n0.75 0.534526\nName: 2998, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1749252821505478, std values: 0.8070427830136958, min values: -2.4536054974529624, max values: 6.0, median values: 0.2211680997658993, and quantile values: 0.25 -0.334313\n0.50 0.221168\n0.75 0.690410\nName: 2999, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32893809870549756, std values: 1.0800260362628649, min values: -2.110869107491898, max values: 4.0, median values: 0.1598275524501429, and quantile values: 0.25 -0.476406\n0.50 0.159828\n0.75 1.073823\nName: 3000, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3570848866941005, std values: 1.118737019748243, min values: -2.119621483749997, max values: 5.0, median values: 0.4265732710677298, and quantile values: 0.25 -0.517052\n0.50 0.426573\n0.75 1.269685\nName: 3001, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10488119815915074, std values: 0.8747885412880186, min values: -2.558791007225312, max values: 3.9048392686725855, median values: -0.1988879291420061, and quantile values: 0.25 -0.676669\n0.50 -0.198888\n0.75 0.460659\nName: 3002, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12773970719962766, std values: 0.748598331526687, min values: -1.955378730797641, max values: 3.784832159836258, median values: 0.1703244308889808, and quantile values: 0.25 -0.395607\n0.50 0.170324\n0.75 0.655136\nName: 3003, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34832145696032873, std values: 0.8884497350611137, min values: -2.2398683045325223, max values: 3.627976272701048, median values: -0.4127904741264004, and quantile values: 0.25 -1.007694\n0.50 -0.412790\n0.75 0.185358\nName: 3004, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1210458136650129, std values: 0.7942049224536581, min values: -2.620939317041317, max values: 4.0, median values: 0.0934685760567217, and quantile values: 0.25 -0.406211\n0.50 0.093469\n0.75 0.623963\nName: 3005, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31596816966538877, std values: 0.8612209845533758, min values: -2.537573835824454, max values: 6.0, median values: 0.2158937949686253, and quantile values: 0.25 -0.300078\n0.50 0.215894\n0.75 0.922953\nName: 3006, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43271213026918914, std values: 0.8600367066026333, min values: -1.9771000421208955, max values: 5.0, median values: 0.5336180740260505, and quantile values: 0.25 -0.180672\n0.50 0.533618\n0.75 1.082657\nName: 3007, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4030402526880021, std values: 0.8553239841872701, min values: -1.9985758581625843, max values: 3.096891534584617, median values: 0.441192921543171, and quantile values: 0.25 -0.231543\n0.50 0.441193\n0.75 1.072436\nName: 3008, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05220572970951839, std values: 0.9496552568448708, min values: -2.5961021427111413, max values: 3.0, median values: -0.0680252622089707, and quantile values: 0.25 -0.719040\n0.50 -0.068025\n0.75 0.603647\nName: 3009, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2604121229952491, std values: 0.9131032917316031, min values: -2.564449278715455, max values: 3.5427287984042666, median values: 0.2320748292886874, and quantile values: 0.25 -0.406976\n0.50 0.232075\n0.75 0.856691\nName: 3010, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09757171700711553, std values: 0.836632794504743, min values: -2.3051489257282016, max values: 5.0, median values: 0.0752997260872093, and quantile values: 0.25 -0.45292\n0.50 0.07530\n0.75 0.60657\nName: 3011, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06519879934362886, std values: 1.0404825688923371, min values: -2.643887016977268, max values: 6.0, median values: -0.0802253745504455, and quantile values: 0.25 -0.752323\n0.50 -0.080225\n0.75 0.654912\nName: 3012, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38553106775680823, std values: 0.815350190700626, min values: -2.1736726278778096, max values: 4.0, median values: 0.4270740092071923, and quantile values: 0.25 -0.143057\n0.50 0.427074\n0.75 0.907361\nName: 3013, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20479756414256625, std values: 0.8508205703459518, min values: -2.321103531050575, max values: 4.0, median values: 0.2394368425884915, and quantile values: 0.25 -0.425538\n0.50 0.239437\n0.75 0.873806\nName: 3014, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4990646704699901, std values: 0.836202729419292, min values: -2.745904427753044, max values: 5.0, median values: 0.5845591081788631, and quantile values: 0.25 -0.059736\n0.50 0.584559\n0.75 1.095401\nName: 3015, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2681865701321037, std values: 0.9203103123569778, min values: -2.6023368942328267, max values: 3.0, median values: 0.1854889730147197, and quantile values: 0.25 -0.323012\n0.50 0.185489\n0.75 0.855159\nName: 3016, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26138685059676237, std values: 0.8675090748291524, min values: -2.6404955031131814, max values: 6.0, median values: 0.3125174148099567, and quantile values: 0.25 -0.346596\n0.50 0.312517\n0.75 0.850770\nName: 3017, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18778266506748176, std values: 1.1800000505807473, min values: -2.58513369695146, max values: 4.0, median values: 0.1360774515796179, and quantile values: 0.25 -0.497071\n0.50 0.136077\n0.75 1.039581\nName: 3018, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03428868262908976, std values: 1.08240924473606, min values: -2.8282523283494294, max values: 4.0, median values: 0.2015162390384393, and quantile values: 0.25 -0.504251\n0.50 0.201516\n0.75 0.715184\nName: 3019, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.031042896173968052, std values: 0.8832786719904177, min values: -2.638186942019407, max values: 4.0, median values: -0.0171578338513169, and quantile values: 0.25 -0.529217\n0.50 -0.017158\n0.75 0.611692\nName: 3020, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08947778268781463, std values: 0.7395685895866133, min values: -2.4540853055744134, max values: 3.250922035035844, median values: -0.1009098031000389, and quantile values: 0.25 -0.558714\n0.50 -0.100910\n0.75 0.332651\nName: 3021, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06974481905576206, std values: 0.9705962394616324, min values: -2.862971749830789, max values: 3.241738645014612, median values: -0.1084693660327369, and quantile values: 0.25 -0.799358\n0.50 -0.108469\n0.75 0.648849\nName: 3022, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16295625213801812, std values: 0.7807839706521891, min values: -2.2477784840641744, max values: 4.0, median values: -0.1663952705317996, and quantile values: 0.25 -0.700640\n0.50 -0.166395\n0.75 0.334113\nName: 3023, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4534463070307121, std values: 0.944981581753911, min values: -2.5859127503381347, max values: 3.176672644814091, median values: 0.47138162912831, and quantile values: 0.25 -0.042671\n0.50 0.471382\n0.75 1.012377\nName: 3024, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.206824442022156, std values: 1.1104192233399803, min values: -2.6660404517971856, max values: 4.0, median values: 0.2034220303172116, and quantile values: 0.25 -0.620091\n0.50 0.203422\n0.75 1.142407\nName: 3025, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.039003609241132296, std values: 0.911929156665806, min values: -2.6660404517971856, max values: 4.0, median values: 0.1002123356406911, and quantile values: 0.25 -0.451337\n0.50 0.100212\n0.75 0.584558\nName: 3026, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6218827924887024, std values: 1.3145115097513005, min values: -2.572123985342288, max values: 4.0, median values: 0.3918542644071318, and quantile values: 0.25 -0.405338\n0.50 0.391854\n0.75 1.621174\nName: 3027, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30866253306554126, std values: 1.116198218065471, min values: -2.9472833478224456, max values: 6.0, median values: -0.2136110744615958, and quantile values: 0.25 -0.907297\n0.50 -0.213611\n0.75 0.404464\nName: 3028, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19336144957093285, std values: 0.9217529256250272, min values: -2.693453432157769, max values: 3.5908526919299577, median values: -0.2505707537554205, and quantile values: 0.25 -0.866522\n0.50 -0.250571\n0.75 0.353829\nName: 3029, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08422828284052779, std values: 0.8496036500282328, min values: -2.43860652798638, max values: 4.0, median values: -0.0106579159245917, and quantile values: 0.25 -0.525064\n0.50 -0.010658\n0.75 0.671452\nName: 3030, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08193467187214679, std values: 0.8660801807050549, min values: -2.142854198138545, max values: 5.0, median values: 0.0472474946447336, and quantile values: 0.25 -0.516185\n0.50 0.047247\n0.75 0.642032\nName: 3031, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31074461021633504, std values: 1.254029080814794, min values: -2.815821936576896, max values: 3.3760121766849016, median values: -0.1338541484393319, and quantile values: 0.25 -1.082403\n0.50 -0.133854\n0.75 0.574717\nName: 3032, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3999823355466292, std values: 0.9029089958737095, min values: -2.684072796644972, max values: 6.0, median values: -0.4982298432273964, and quantile values: 0.25 -1.050962\n0.50 -0.498230\n0.75 0.150741\nName: 3033, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.283811182366498, std values: 0.8465527507732575, min values: -2.8467638118011016, max values: 5.0, median values: -0.3917650552008848, and quantile values: 0.25 -0.870313\n0.50 -0.391765\n0.75 0.218149\nName: 3034, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03386177504562326, std values: 0.90959225476926, min values: -2.3848735828790137, max values: 6.0, median values: 0.016615821172363, and quantile values: 0.25 -0.690585\n0.50 0.016616\n0.75 0.576248\nName: 3035, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24185736020581947, std values: 0.8488182697108699, min values: -1.9827427062268188, max values: 6.0, median values: 0.1563865033618893, and quantile values: 0.25 -0.350252\n0.50 0.156387\n0.75 0.815996\nName: 3036, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.006707641561229217, std values: 0.845109261830575, min values: -2.7648443048846945, max values: 3.9905524164385566, median values: -0.0452991982458467, and quantile values: 0.25 -0.578103\n0.50 -0.045299\n0.75 0.476512\nName: 3037, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19666973432140133, std values: 0.8906445415708535, min values: -2.1157500262484703, max values: 5.0, median values: 0.0813305469215569, and quantile values: 0.25 -0.433842\n0.50 0.081331\n0.75 0.788977\nName: 3038, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07503305478998092, std values: 0.8051891806741615, min values: -2.590643619371846, max values: 4.0, median values: -0.0371146911672905, and quantile values: 0.25 -0.552554\n0.50 -0.037115\n0.75 0.407096\nName: 3039, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11151179827313436, std values: 1.00108365737344, min values: -2.5399045531878324, max values: 4.0, median values: -0.1577637862437423, and quantile values: 0.25 -0.878036\n0.50 -0.157764\n0.75 0.609341\nName: 3040, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31610376891856645, std values: 0.9393900654824489, min values: -2.067884917892885, max values: 4.0, median values: -0.4841808507038734, and quantile values: 0.25 -1.022729\n0.50 -0.484181\n0.75 0.270179\nName: 3041, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11860427514085127, std values: 1.2656714168486298, min values: -2.842043939794492, max values: 3.247416277295021, median values: 0.0102575548142339, and quantile values: 0.25 -0.816073\n0.50 0.010258\n0.75 0.805544\nName: 3042, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05761013622735726, std values: 0.8037622060352374, min values: -2.7314147016889114, max values: 3.3483277116524426, median values: 0.0434707232588432, and quantile values: 0.25 -0.473760\n0.50 0.043471\n0.75 0.551508\nName: 3043, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11715908937453065, std values: 0.8356436954385957, min values: -2.15141271142167, max values: 5.0, median values: -0.1968200522670004, and quantile values: 0.25 -0.680171\n0.50 -0.196820\n0.75 0.357320\nName: 3044, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03446341719468209, std values: 0.9804564911317081, min values: -2.317050356949399, max values: 5.0, median values: -0.0517116990659387, and quantile values: 0.25 -0.748956\n0.50 -0.051712\n0.75 0.731858\nName: 3045, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5774927420832631, std values: 0.8413775824195113, min values: -2.6685266729136536, max values: 6.0, median values: 0.6687616246840338, and quantile values: 0.25 0.028814\n0.50 0.668762\n0.75 1.147712\nName: 3046, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5537688491442587, std values: 1.324888888409301, min values: -2.082109659827605, max values: 4.278004674434932, median values: 0.3022967699031531, and quantile values: 0.25 -0.435355\n0.50 0.302297\n0.75 1.349999\nName: 3047, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04742214445899601, std values: 1.0010286899120922, min values: -2.9666813816765707, max values: 4.0, median values: 0.0099502905711819, and quantile values: 0.25 -0.812955\n0.50 0.009950\n0.75 0.724525\nName: 3048, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28472032371439554, std values: 0.8514094619593453, min values: -2.196708653609315, max values: 6.0, median values: -0.4098798474614024, and quantile values: 0.25 -0.879949\n0.50 -0.409880\n0.75 0.227055\nName: 3049, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4040315539920534, std values: 0.8314936586607953, min values: -2.2161166709808824, max values: 6.0, median values: -0.4856676655133429, and quantile values: 0.25 -1.074454\n0.50 -0.485668\n0.75 0.170423\nName: 3050, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22743011729058993, std values: 0.8685666598497419, min values: -2.096936800955159, max values: 3.5581019918925243, median values: 0.1430974686474216, and quantile values: 0.25 -0.380757\n0.50 0.143097\n0.75 0.780748\nName: 3051, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35836759070189017, std values: 1.0532184142065877, min values: -2.9090251609554527, max values: 6.0, median values: -0.4543269855667449, and quantile values: 0.25 -1.028035\n0.50 -0.454327\n0.75 0.325828\nName: 3052, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12757684751977313, std values: 1.066938481146201, min values: -2.657750824678472, max values: 5.0, median values: 0.3071432431702488, and quantile values: 0.25 -0.467527\n0.50 0.307143\n0.75 0.876027\nName: 3053, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5484181089622213, std values: 1.1765054109730695, min values: -2.1201603002813605, max values: 3.569037956734876, median values: 0.4189493308647396, and quantile values: 0.25 -0.399418\n0.50 0.418949\n0.75 1.547364\nName: 3054, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2472486321962351, std values: 0.7885102777366544, min values: -2.688157591415518, max values: 5.0, median values: -0.3359706614902569, and quantile values: 0.25 -0.788723\n0.50 -0.335971\n0.75 0.197900\nName: 3055, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25505394741389453, std values: 0.7919364272676165, min values: -2.3984930204855712, max values: 4.0, median values: -0.2990001402737433, and quantile values: 0.25 -0.774288\n0.50 -0.299000\n0.75 0.180644\nName: 3056, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11693684820557397, std values: 0.8085597762282205, min values: -2.160415784529872, max values: 3.9048392686725855, median values: -0.0927564605896985, and quantile values: 0.25 -0.722192\n0.50 -0.092756\n0.75 0.462617\nName: 3057, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36811584072081666, std values: 1.0159417524817203, min values: -2.001572802478312, max values: 4.0, median values: 0.3665829692500156, and quantile values: 0.25 -0.427479\n0.50 0.366583\n0.75 1.212176\nName: 3058, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27105090820327066, std values: 0.9764346599359274, min values: -2.260065972240425, max values: 3.5581019918925243, median values: -0.2787936659914415, and quantile values: 0.25 -1.028688\n0.50 -0.278794\n0.75 0.443058\nName: 3059, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25915622383534, std values: 1.077112271867521, min values: -2.622709665346679, max values: 3.5021977227593246, median values: -0.2319804391223189, and quantile values: 0.25 -0.966076\n0.50 -0.231980\n0.75 0.486102\nName: 3060, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1563950508890684, std values: 1.0751437927730678, min values: -3.447534482420193, max values: 4.026668017837955, median values: 0.3405428807213891, and quantile values: 0.25 -0.368880\n0.50 0.340543\n0.75 0.835398\nName: 3061, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2738269418801891, std values: 0.9611485107524612, min values: -2.5906203367024587, max values: 3.1801075704642923, median values: -0.3136143611277845, and quantile values: 0.25 -1.042425\n0.50 -0.313614\n0.75 0.415082\nName: 3062, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13313858787654673, std values: 0.9605450470540878, min values: -2.5122218748354936, max values: 3.867701659180865, median values: 0.1477889393416937, and quantile values: 0.25 -0.540426\n0.50 0.147789\n0.75 0.834590\nName: 3063, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2545367586869515, std values: 0.8854804372780413, min values: -2.1547684225520003, max values: 6.0, median values: -0.3568499621590771, and quantile values: 0.25 -0.895969\n0.50 -0.356850\n0.75 0.258407\nName: 3064, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5449856447198319, std values: 0.9227507403293924, min values: -2.727901130262228, max values: 4.0, median values: -0.6479655207389544, and quantile values: 0.25 -1.226597\n0.50 -0.647966\n0.75 0.059548\nName: 3065, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15867472988053702, std values: 0.8154352843809961, min values: -2.481901998915882, max values: 3.455472209455805, median values: -0.1712379616897151, and quantile values: 0.25 -0.739592\n0.50 -0.171238\n0.75 0.343625\nName: 3066, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15257694008126224, std values: 0.8535753941809714, min values: -2.475778245535816, max values: 4.0, median values: -0.2654803830483519, and quantile values: 0.25 -0.778793\n0.50 -0.265480\n0.75 0.416058\nName: 3067, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20722912334266586, std values: 0.8749963428143915, min values: -2.1502995050841665, max values: 4.0, median values: 0.287426227893939, and quantile values: 0.25 -0.420657\n0.50 0.287426\n0.75 0.849820\nName: 3068, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03505770640594924, std values: 1.0247964752551253, min values: -2.5156802245814003, max values: 4.0, median values: 0.0590786360954113, and quantile values: 0.25 -0.762067\n0.50 0.059079\n0.75 0.829445\nName: 3069, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.532638146641327, std values: 0.9739294895497144, min values: -2.5046447434119337, max values: 4.0, median values: 0.6235322606564716, and quantile values: 0.25 -0.168648\n0.50 0.623532\n0.75 1.263641\nName: 3070, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13997088181445164, std values: 0.9325259002688576, min values: -2.93129584560762, max values: 6.0, median values: 0.0654525720631573, and quantile values: 0.25 -0.590822\n0.50 0.065453\n0.75 0.787812\nName: 3071, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41611268694293957, std values: 0.757693953237434, min values: -2.037108201786327, max values: 5.0, median values: 0.4875017430576455, and quantile values: 0.25 -0.070752\n0.50 0.487502\n0.75 0.946828\nName: 3072, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23205611927178518, std values: 0.7958049432715616, min values: -2.579952672199424, max values: 6.0, median values: 0.1988982450424536, and quantile values: 0.25 -0.268363\n0.50 0.198898\n0.75 0.728703\nName: 3073, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28064789756107417, std values: 0.7648862121057212, min values: -2.6412681606926487, max values: 3.110498035652072, median values: -0.3374862382992912, and quantile values: 0.25 -0.784549\n0.50 -0.337486\n0.75 0.151939\nName: 3074, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1980155691392833, std values: 0.72905250088283, min values: -2.783691185534105, max values: 3.1227871431249503, median values: 0.1529973671318321, and quantile values: 0.25 -0.251717\n0.50 0.152997\n0.75 0.634044\nName: 3075, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3532897858503675, std values: 0.7976947342126649, min values: -2.5122218748354936, max values: 3.4758930087721422, median values: -0.3974993516534619, and quantile values: 0.25 -0.860251\n0.50 -0.397499\n0.75 0.116950\nName: 3076, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17192521648550896, std values: 0.7741240771293002, min values: -2.537573835824454, max values: 6.0, median values: 0.2428957798073086, and quantile values: 0.25 -0.327271\n0.50 0.242896\n0.75 0.657834\nName: 3077, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06233571718701401, std values: 0.9222394839258244, min values: -2.687115288423959, max values: 5.0, median values: 0.0015697414890269, and quantile values: 0.25 -0.598267\n0.50 0.001570\n0.75 0.517556\nName: 3078, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.020848171767618162, std values: 0.6993521978943974, min values: -1.8926682107911736, max values: 2.95278420891759, median values: -0.0272948480127695, and quantile values: 0.25 -0.483513\n0.50 -0.027295\n0.75 0.385532\nName: 3079, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39714070111898786, std values: 0.8847456796294453, min values: -2.801183634509044, max values: 5.0, median values: -0.4643956368258718, and quantile values: 0.25 -1.097125\n0.50 -0.464396\n0.75 0.194237\nName: 3080, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6083060189354662, std values: 1.0242863295222897, min values: -2.8327898928872086, max values: 4.0, median values: -0.729481070068896, and quantile values: 0.25 -1.350411\n0.50 -0.729481\n0.75 0.069210\nName: 3081, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.026614595463060685, std values: 1.0890515429824377, min values: -2.56026492390943, max values: 4.0, median values: -0.1233771576289472, and quantile values: 0.25 -0.885811\n0.50 -0.123377\n0.75 0.758588\nName: 3082, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3465193256602006, std values: 1.3571020746043414, min values: -2.580492024304656, max values: 3.312693232344632, median values: 0.515132950417405, and quantile values: 0.25 -0.465895\n0.50 0.515133\n0.75 1.449687\nName: 3083, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3498581409754359, std values: 0.8810116962357432, min values: -2.564449278715455, max values: 3.0097288687560817, median values: -0.4204461978921657, and quantile values: 0.25 -1.057890\n0.50 -0.420446\n0.75 0.272962\nName: 3084, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07169340243811706, std values: 0.8684196893372432, min values: -2.497627580948261, max values: 3.20751086257212, median values: 0.1146212562561317, and quantile values: 0.25 -0.371744\n0.50 0.114621\n0.75 0.594230\nName: 3085, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1665665256530648, std values: 0.9293211779679741, min values: -2.558791007225312, max values: 3.2696814875916886, median values: 0.203675742414562, and quantile values: 0.25 -0.345865\n0.50 0.203676\n0.75 0.724310\nName: 3086, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16756356199991915, std values: 0.8346316870814967, min values: -2.090851036172633, max values: 3.135426854633533, median values: -0.2198818753843186, and quantile values: 0.25 -0.772886\n0.50 -0.219882\n0.75 0.362542\nName: 3087, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2640285688159858, std values: 0.8960721183451973, min values: -2.090851036172633, max values: 5.0, median values: 0.3385651015087799, and quantile values: 0.25 -0.419543\n0.50 0.338565\n0.75 0.983152\nName: 3088, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3466256015256696, std values: 0.8453724302296491, min values: -2.3051489257282016, max values: 5.0, median values: -0.4231846902080284, and quantile values: 0.25 -0.947512\n0.50 -0.423185\n0.75 0.119877\nName: 3089, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17550634550574715, std values: 0.8253735099470836, min values: -2.873069976951463, max values: 4.278004674434932, median values: -0.2180366300249293, and quantile values: 0.25 -0.718363\n0.50 -0.218037\n0.75 0.326525\nName: 3090, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20529702568705935, std values: 0.9058155116022695, min values: -2.1139459297101, max values: 3.124705982383484, median values: -0.2974861718694877, and quantile values: 0.25 -0.920510\n0.50 -0.297486\n0.75 0.448046\nName: 3091, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23751556372017146, std values: 0.9493191585516602, min values: -2.4670435306081884, max values: 3.434669824302974, median values: -0.3378069403290504, and quantile values: 0.25 -0.922742\n0.50 -0.337807\n0.75 0.264301\nName: 3092, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2505972258815186, std values: 0.9847453987155804, min values: -2.3937380876386865, max values: 4.0, median values: 0.3133909364751537, and quantile values: 0.25 -0.469929\n0.50 0.313391\n0.75 1.031733\nName: 3093, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.314386956644849, std values: 0.8690215847013986, min values: -2.1288724177081058, max values: 4.0, median values: 0.3541510779743104, and quantile values: 0.25 -0.301497\n0.50 0.354151\n0.75 0.939067\nName: 3094, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2649202868634759, std values: 0.816569478206006, min values: -2.8998169811239416, max values: 3.496479817235339, median values: -0.3433743857600037, and quantile values: 0.25 -0.872905\n0.50 -0.343374\n0.75 0.242811\nName: 3095, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1027747790628739, std values: 0.7596489174727722, min values: -2.0094909540835846, max values: 3.5581019918925243, median values: -0.1649096875652149, and quantile values: 0.25 -0.660861\n0.50 -0.164910\n0.75 0.388538\nName: 3096, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29181395331182425, std values: 0.7625343970805885, min values: -2.4960309093026924, max values: 3.1888787873512885, median values: 0.34475354722517, and quantile values: 0.25 -0.230961\n0.50 0.344754\n0.75 0.851038\nName: 3097, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.306685057734985, std values: 0.7761146108555114, min values: -2.119174832037031, max values: 3.082096909284949, median values: 0.289744720801895, and quantile values: 0.25 -0.142418\n0.50 0.289745\n0.75 0.783126\nName: 3098, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15983200495367778, std values: 0.8039176373549929, min values: -2.476285024008804, max values: 3.132053530264631, median values: -0.2109559956949386, and quantile values: 0.25 -0.711374\n0.50 -0.210956\n0.75 0.321345\nName: 3099, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06924729878752549, std values: 0.8843188915128791, min values: -1.98078037474942, max values: 4.0, median values: 0.0383918643546602, and quantile values: 0.25 -0.556192\n0.50 0.038392\n0.75 0.590203\nName: 3100, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1859589088203354, std values: 1.0034339944021904, min values: -2.9278427058120164, max values: 6.0, median values: 0.3303169363820685, and quantile values: 0.25 -0.395991\n0.50 0.330317\n0.75 0.870347\nName: 3101, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2604773454865348, std values: 0.9369999378545859, min values: -2.117042895443173, max values: 6.0, median values: -0.3055313058351791, and quantile values: 0.25 -1.003448\n0.50 -0.305531\n0.75 0.373689\nName: 3102, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22456374177385405, std values: 0.9113299884910556, min values: -2.862971749830789, max values: 3.784832159836258, median values: -0.1934427588699611, and quantile values: 0.25 -0.821503\n0.50 -0.193443\n0.75 0.333641\nName: 3103, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22946166034296842, std values: 0.9541335522144015, min values: -2.5334152195807023, max values: 6.0, median values: -0.2982340645571436, and quantile values: 0.25 -0.988614\n0.50 -0.298234\n0.75 0.407814\nName: 3104, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40363557286289076, std values: 0.8410248263035978, min values: -2.56026492390943, max values: 4.0, median values: 0.5193198919346766, and quantile values: 0.25 -0.168409\n0.50 0.519320\n0.75 1.004998\nName: 3105, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03057264432514234, std values: 0.9917695247720166, min values: -2.2276120832807416, max values: 6.0, median values: -0.1699332602829206, and quantile values: 0.25 -0.809865\n0.50 -0.169933\n0.75 0.630500\nName: 3106, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13009290465657197, std values: 0.7804889081140692, min values: -2.212004168819108, max values: 3.281452258958016, median values: -0.2198334500276579, and quantile values: 0.25 -0.725263\n0.50 -0.219833\n0.75 0.395582\nName: 3107, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14679701715598026, std values: 0.7656843814991062, min values: -2.5977911804876768, max values: 4.0, median values: 0.1063642681214866, and quantile values: 0.25 -0.310176\n0.50 0.106364\n0.75 0.630984\nName: 3108, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12658068607788475, std values: 0.7974252727254889, min values: -2.104667097879677, max values: 4.0, median values: -0.1464172673503365, and quantile values: 0.25 -0.685038\n0.50 -0.146417\n0.75 0.345707\nName: 3109, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3471588957646621, std values: 0.8229246631267548, min values: -2.6899145007874274, max values: 3.784832159836258, median values: 0.3838378136137371, and quantile values: 0.25 -0.188628\n0.50 0.383838\n0.75 0.890405\nName: 3110, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12528933204104928, std values: 1.210270344015672, min values: -2.92272757463548, max values: 6.0, median values: 0.3025609952360901, and quantile values: 0.25 -0.512902\n0.50 0.302561\n0.75 1.015457\nName: 3111, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3543014426312509, std values: 0.9213030730048123, min values: -1.95553864173708, max values: 6.0, median values: 0.2798995358387109, and quantile values: 0.25 -0.266504\n0.50 0.279900\n0.75 0.907326\nName: 3112, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3988309132441073, std values: 0.8768116963166351, min values: -1.9811722310795352, max values: 3.5427287984042666, median values: 0.4746592194450859, and quantile values: 0.25 -0.217897\n0.50 0.474659\n0.75 1.033877\nName: 3113, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3145644709266181, std values: 0.8121131873148147, min values: -3.1070421433302986, max values: 2.928515832252385, median values: -0.3786255562770854, and quantile values: 0.25 -0.870423\n0.50 -0.378626\n0.75 0.197550\nName: 3114, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2934043302613518, std values: 1.1087196914017752, min values: -2.860922438481449, max values: 2.879968592907282, median values: -0.199066784693615, and quantile values: 0.25 -0.991103\n0.50 -0.199067\n0.75 0.452135\nName: 3115, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2148529611250598, std values: 0.8033366985583554, min values: -2.279638670509252, max values: 6.0, median values: 0.2671655740320299, and quantile values: 0.25 -0.333757\n0.50 0.267166\n0.75 0.745893\nName: 3116, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07585057832060355, std values: 0.8015950456002857, min values: -1.869921973913092, max values: 3.0, median values: -0.0165518828896964, and quantile values: 0.25 -0.473919\n0.50 -0.016552\n0.75 0.597363\nName: 3117, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.001977743594754023, std values: 0.8930197318774281, min values: -2.5759052915632985, max values: 3.20751086257212, median values: 0.1186393255559633, and quantile values: 0.25 -0.483513\n0.50 0.118639\n0.75 0.585455\nName: 3118, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13389722370967158, std values: 0.7776047394535928, min values: -2.09134137830184, max values: 3.216771431244405, median values: 0.2096400961804091, and quantile values: 0.25 -0.370885\n0.50 0.209640\n0.75 0.653087\nName: 3119, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10961025961037911, std values: 0.8346260361348776, min values: -2.321103531050575, max values: 4.0, median values: 0.0896711656952531, and quantile values: 0.25 -0.427225\n0.50 0.089671\n0.75 0.616053\nName: 3120, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11504501815415577, std values: 0.7422503472481831, min values: -2.321510952509234, max values: 3.0097288687560817, median values: 0.1379894799078408, and quantile values: 0.25 -0.351911\n0.50 0.137989\n0.75 0.599993\nName: 3121, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5978799454577992, std values: 1.1003374388265545, min values: -2.673549169958716, max values: 6.0, median values: -0.574201158678136, and quantile values: 0.25 -1.510008\n0.50 -0.574201\n0.75 0.167522\nName: 3122, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10303895854538714, std values: 0.7750065819464168, min values: -2.0210150587876674, max values: 3.1888787873512885, median values: -0.1925539864901776, and quantile values: 0.25 -0.644656\n0.50 -0.192554\n0.75 0.369415\nName: 3123, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5762473360645055, std values: 0.9185895188548496, min values: -2.6635706018350787, max values: 4.278004674434932, median values: 0.6201485258448194, and quantile values: 0.25 -0.039054\n0.50 0.620149\n0.75 1.173089\nName: 3124, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22155864971550646, std values: 0.8566413097829131, min values: -2.0210150587876674, max values: 5.0, median values: 0.2106176796247124, and quantile values: 0.25 -0.369558\n0.50 0.210618\n0.75 0.765362\nName: 3125, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.00046430433838078283, std values: 0.8442413763485968, min values: -2.4960309093026924, max values: 3.496479817235339, median values: -0.0055305022379379, and quantile values: 0.25 -0.571096\n0.50 -0.005531\n0.75 0.492994\nName: 3126, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2516482587771451, std values: 0.8004591760705887, min values: -2.020650846184289, max values: 5.0, median values: 0.2421655732977227, and quantile values: 0.25 -0.267974\n0.50 0.242166\n0.75 0.719290\nName: 3127, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10602535936648066, std values: 0.7448305655519466, min values: -2.620939317041317, max values: 3.528773265847577, median values: 0.1131521762407486, and quantile values: 0.25 -0.372892\n0.50 0.113152\n0.75 0.565374\nName: 3128, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12633182123347192, std values: 1.2188949243860479, min values: -2.1475280888671984, max values: 4.278004674434932, median values: -0.2795800272254639, and quantile values: 0.25 -1.062659\n0.50 -0.279580\n0.75 0.571959\nName: 3129, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5618767860989677, std values: 1.1215016713145354, min values: -2.982771139679002, max values: 4.0, median values: -0.5608077731076827, and quantile values: 0.25 -1.291653\n0.50 -0.560808\n0.75 0.204460\nName: 3130, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28838063205233005, std values: 1.0155225981970202, min values: -2.558791007225312, max values: 3.0, median values: 0.2693906344289038, and quantile values: 0.25 -0.436015\n0.50 0.269391\n0.75 1.062700\nName: 3131, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14434550617843525, std values: 0.958382528734093, min values: -2.687115288423959, max values: 5.0, median values: 0.2690765213057228, and quantile values: 0.25 -0.400731\n0.50 0.269077\n0.75 0.789368\nName: 3132, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41278887875792275, std values: 0.8311873636233029, min values: -2.783691185534105, max values: 3.306454397423372, median values: 0.500371607260901, and quantile values: 0.25 -0.141555\n0.50 0.500372\n0.75 1.004086\nName: 3133, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19377049445009076, std values: 0.9583716275776913, min values: -2.5293911731823453, max values: 3.2906806286429298, median values: -0.233744322743015, and quantile values: 0.25 -0.792276\n0.50 -0.233744\n0.75 0.433479\nName: 3134, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17923562741094612, std values: 1.0100393036824287, min values: -2.4105024411864138, max values: 3.258347009006034, median values: 0.1333142951170023, and quantile values: 0.25 -0.481149\n0.50 0.133314\n0.75 0.861927\nName: 3135, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09836088746729886, std values: 0.887794583771248, min values: -2.4176069991382847, max values: 6.0, median values: -0.1506851011777305, and quantile values: 0.25 -0.778186\n0.50 -0.150685\n0.75 0.536081\nName: 3136, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35217952661734003, std values: 1.023206157064515, min values: -2.6635706018350787, max values: 3.197902420311553, median values: 0.4447297715166028, and quantile values: 0.25 -0.445399\n0.50 0.444730\n0.75 1.158368\nName: 3137, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7892583853535413, std values: 1.1561096310892567, min values: -2.1548749249906303, max values: 5.0, median values: 0.6691405191051404, and quantile values: 0.25 -0.088769\n0.50 0.669141\n0.75 1.677334\nName: 3138, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2630310781215073, std values: 1.028033970863112, min values: -2.891990595045606, max values: 6.0, median values: -0.2100905362356169, and quantile values: 0.25 -0.840430\n0.50 -0.210091\n0.75 0.404494\nName: 3139, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22372932494631695, std values: 0.7658726692332891, min values: -2.1136270387555465, max values: 3.5581019918925243, median values: 0.2735337146736047, and quantile values: 0.25 -0.271038\n0.50 0.273534\n0.75 0.733651\nName: 3140, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.015552478674347751, std values: 1.03348563000402, min values: -2.5825978442440407, max values: 6.0, median values: -0.1543531756110175, and quantile values: 0.25 -0.737957\n0.50 -0.154353\n0.75 0.639462\nName: 3141, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.048031959369661544, std values: 0.8237411290878617, min values: -2.1695974540436334, max values: 4.0, median values: -0.0319234852579951, and quantile values: 0.25 -0.525279\n0.50 -0.031923\n0.75 0.591638\nName: 3142, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39649368830742077, std values: 0.9169306529955392, min values: -2.081628667506599, max values: 4.0, median values: -0.5698445763028888, and quantile values: 0.25 -1.120831\n0.50 -0.569845\n0.75 0.184508\nName: 3143, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.188919532153051, std values: 0.934420559271693, min values: -2.608390851963037, max values: 5.0, median values: -0.2389785491920056, and quantile values: 0.25 -0.837508\n0.50 -0.238979\n0.75 0.432405\nName: 3144, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.026333424716083947, std values: 0.8842980073600272, min values: -2.876502173242568, max values: 3.477886732511886, median values: 0.1306202381745917, and quantile values: 0.25 -0.491471\n0.50 0.130620\n0.75 0.643406\nName: 3145, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.053075141984035165, std values: 0.7607653194519294, min values: -2.620939317041317, max values: 4.0, median values: 0.004561475180323, and quantile values: 0.25 -0.562216\n0.50 0.004561\n0.75 0.474357\nName: 3146, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06533062784714143, std values: 0.8891076470523337, min values: -2.572123985342288, max values: 4.0, median values: -0.0650661998146468, and quantile values: 0.25 -0.693699\n0.50 -0.065066\n0.75 0.498578\nName: 3147, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7050317824484025, std values: 0.9246790994460554, min values: -2.673124659932621, max values: 6.0, median values: -0.8075348879861446, and quantile values: 0.25 -1.443228\n0.50 -0.807535\n0.75 -0.101823\nName: 3148, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10847129615313786, std values: 1.016974315822202, min values: -2.0744709221036657, max values: 3.141939528112806, median values: -0.2189673828135435, and quantile values: 0.25 -0.974526\n0.50 -0.218967\n0.75 0.641998\nName: 3149, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08586446752995687, std values: 0.8511669398790628, min values: -2.56026492390943, max values: 4.0, median values: -0.1380789993638373, and quantile values: 0.25 -0.602144\n0.50 -0.138079\n0.75 0.410299\nName: 3150, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9696566894026942, std values: 1.3495641696160743, min values: -2.727901130262228, max values: 4.0, median values: -1.640607449058815, and quantile values: 0.25 -2.140406\n0.50 -1.640607\n0.75 0.216288\nName: 3151, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12975427157543948, std values: 0.896930489176572, min values: -2.299460330888208, max values: 4.0, median values: -0.1728117704680168, and quantile values: 0.25 -0.858124\n0.50 -0.172812\n0.75 0.505441\nName: 3152, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4995362593697649, std values: 1.3282356562704558, min values: -2.5953860446419177, max values: 5.0, median values: 0.5981388218921792, and quantile values: 0.25 -0.390016\n0.50 0.598139\n0.75 1.624702\nName: 3153, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29954134312994546, std values: 1.011685976407514, min values: -2.788272971802125, max values: 6.0, median values: -0.3583549597562268, and quantile values: 0.25 -0.926033\n0.50 -0.358355\n0.75 0.285074\nName: 3154, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03381629018385708, std values: 0.9680373290139164, min values: -2.1558924048879446, max values: 3.5581019918925243, median values: 0.0492877794718762, and quantile values: 0.25 -0.752967\n0.50 0.049288\n0.75 0.791597\nName: 3155, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1854925814032715, std values: 0.835232578257503, min values: -2.055430953058359, max values: 3.0, median values: -0.3132916416515216, and quantile values: 0.25 -0.760131\n0.50 -0.313292\n0.75 0.344728\nName: 3156, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.268732031086977, std values: 0.7870963710649826, min values: -2.0999281303014694, max values: 3.627976272701048, median values: -0.3755504231805521, and quantile values: 0.25 -0.811280\n0.50 -0.375550\n0.75 0.154753\nName: 3157, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1732081240300076, std values: 0.8921324244539418, min values: -2.5293911731823453, max values: 3.1841025362512254, median values: 0.2873793498786579, and quantile values: 0.25 -0.266707\n0.50 0.287379\n0.75 0.717934\nName: 3158, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8772087719538031, std values: 0.9678753730873382, min values: -2.406113529328762, max values: 3.1485882570365185, median values: 1.011982308771482, and quantile values: 0.25 0.186272\n0.50 1.011982\n0.75 1.667869\nName: 3159, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5195906891432793, std values: 1.003448128552918, min values: -2.860922438481449, max values: 3.030805337148847, median values: -0.568689126697135, and quantile values: 0.25 -1.284499\n0.50 -0.568689\n0.75 0.166609\nName: 3160, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08832608921048393, std values: 0.8197259058677319, min values: -2.6850842010492566, max values: 6.0, median values: -0.0979797566394899, and quantile values: 0.25 -0.643057\n0.50 -0.097980\n0.75 0.416216\nName: 3161, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34025211864501537, std values: 0.8660429439041677, min values: -2.313034894127922, max values: 4.0, median values: -0.4553830921102826, and quantile values: 0.25 -0.960279\n0.50 -0.455383\n0.75 0.197943\nName: 3162, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25477121811870523, std values: 0.7344044831080163, min values: -2.0773212586940626, max values: 4.0, median values: -0.2464427899320388, and quantile values: 0.25 -0.749081\n0.50 -0.246443\n0.75 0.180455\nName: 3163, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2660607989009389, std values: 1.0248085037498245, min values: -3.124705982383478, max values: 3.176672644814091, median values: 0.2791622513250292, and quantile values: 0.25 -0.462368\n0.50 0.279162\n0.75 1.034119\nName: 3164, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10316502965767622, std values: 0.8682386119090357, min values: -2.5122218748354936, max values: 3.1175233493066874, median values: -0.0106854568058521, and quantile values: 0.25 -0.559294\n0.50 -0.010685\n0.75 0.443605\nName: 3165, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18367577902479168, std values: 0.8455503413828551, min values: -2.732564679617164, max values: 3.528773265847577, median values: -0.2143163078326472, and quantile values: 0.25 -0.795007\n0.50 -0.214316\n0.75 0.341249\nName: 3166, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38542951944199605, std values: 0.9538389526543792, min values: -2.64479559868397, max values: 6.0, median values: 0.4613949621936026, and quantile values: 0.25 -0.331890\n0.50 0.461395\n0.75 1.111300\nName: 3167, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.376365262756776, std values: 0.8151063332070659, min values: -2.589966702820638, max values: 6.0, median values: -0.4757756288855371, and quantile values: 0.25 -0.992122\n0.50 -0.475776\n0.75 0.128046\nName: 3168, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3154751236351448, std values: 0.9756784409183572, min values: -2.944950884974346, max values: 3.2936960268109283, median values: -0.4616578680766777, and quantile values: 0.25 -1.078082\n0.50 -0.461658\n0.75 0.336903\nName: 3169, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5601820716607313, std values: 0.9008835751979251, min values: -2.3771558481240653, max values: 4.0, median values: 0.5300017104261296, and quantile values: 0.25 -0.064472\n0.50 0.530002\n0.75 1.211197\nName: 3170, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4778581140156188, std values: 0.8513723703299704, min values: -3.0223671288921072, max values: 3.415255285860171, median values: -0.513432744949797, and quantile values: 0.25 -1.125644\n0.50 -0.513433\n0.75 0.053108\nName: 3171, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.050653724288576576, std values: 0.8599773006018542, min values: -2.8451834694312192, max values: 3.2266531185902125, median values: -0.1039898625047362, and quantile values: 0.25 -0.730191\n0.50 -0.103990\n0.75 0.529598\nName: 3172, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49015963308716065, std values: 1.0451867412314833, min values: -2.5825978442440407, max values: 6.0, median values: 0.6054000679741404, and quantile values: 0.25 -0.297313\n0.50 0.605400\n0.75 1.360777\nName: 3173, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7288566757360838, std values: 1.0293105896419543, min values: -1.9143663226252985, max values: 5.0, median values: 0.7432116956650585, and quantile values: 0.25 -0.042148\n0.50 0.743212\n0.75 1.535627\nName: 3174, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3448123045588579, std values: 1.1754997533421816, min values: -2.5293911731823453, max values: 3.667275230673496, median values: 0.4307445872383554, and quantile values: 0.25 -0.484496\n0.50 0.430745\n0.75 1.241476\nName: 3175, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5302418603218553, std values: 0.8454101008350395, min values: -2.6115251494731915, max values: 3.477886732511886, median values: 0.5876001607186969, and quantile values: 0.25 -0.020491\n0.50 0.587600\n0.75 1.159174\nName: 3176, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15705713282895495, std values: 0.7213899469389848, min values: -2.745904427753044, max values: 5.0, median values: -0.224266520479414, and quantile values: 0.25 -0.622298\n0.50 -0.224267\n0.75 0.279506\nName: 3177, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21768236507002142, std values: 0.8866814495915747, min values: -2.092815429397888, max values: 3.132053530264631, median values: -0.3279973776858277, and quantile values: 0.25 -0.913191\n0.50 -0.327997\n0.75 0.389124\nName: 3178, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13573656565782868, std values: 0.7719636830195206, min values: -2.4737574649270093, max values: 3.3483277116524426, median values: -0.2283401063024272, and quantile values: 0.25 -0.644569\n0.50 -0.228340\n0.75 0.314732\nName: 3179, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3591169462777253, std values: 0.975559360129558, min values: -2.140398613737501, max values: 3.630507857092792, median values: -0.3763829493582286, and quantile values: 0.25 -1.191704\n0.50 -0.376383\n0.75 0.345660\nName: 3180, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4531844761762592, std values: 0.9136030152100161, min values: -2.643887016977268, max values: 6.0, median values: -0.5582634939507517, and quantile values: 0.25 -1.099411\n0.50 -0.558263\n0.75 0.113595\nName: 3181, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26917546115022734, std values: 0.7337788777637518, min values: -2.981718296512785, max values: 5.0, median values: 0.2313676121424659, and quantile values: 0.25 -0.186442\n0.50 0.231368\n0.75 0.711922\nName: 3182, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3965008949275898, std values: 0.9714206749508707, min values: -2.58513369695146, max values: 4.0, median values: -0.5262657425160573, and quantile values: 0.25 -1.156890\n0.50 -0.526266\n0.75 0.259360\nName: 3183, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1912627596324061, std values: 0.7378789390589414, min values: -2.5825978442440407, max values: 6.0, median values: -0.2182841101233003, and quantile values: 0.25 -0.654082\n0.50 -0.218284\n0.75 0.229614\nName: 3184, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03828062894583154, std values: 1.4426883700942903, min values: -3.2372475247926937, max values: 3.0418703198091483, median values: 0.3179585615640791, and quantile values: 0.25 -1.141338\n0.50 0.317959\n0.75 1.220660\nName: 3185, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3690853604158719, std values: 1.1125895307028348, min values: -2.8843374390620142, max values: 6.0, median values: 0.3501511400444133, and quantile values: 0.25 -0.509982\n0.50 0.350151\n0.75 1.364318\nName: 3186, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2592449419459742, std values: 1.0172067786198211, min values: -2.5293911731823453, max values: 3.434669824302974, median values: -0.3502516566123587, and quantile values: 0.25 -0.996591\n0.50 -0.350252\n0.75 0.423818\nName: 3187, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0973993235115494, std values: 0.9408707115441008, min values: -2.1149759989911825, max values: 3.438667023696733, median values: -0.1860310986948995, and quantile values: 0.25 -0.839151\n0.50 -0.186031\n0.75 0.555502\nName: 3188, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17608427079345132, std values: 0.8275726106722785, min values: -3.05087304133376, max values: 5.0, median values: 0.13110372531076, and quantile values: 0.25 -0.422539\n0.50 0.131104\n0.75 0.729817\nName: 3189, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10459582999383553, std values: 0.783575220005525, min values: -3.002493140275396, max values: 5.0, median values: -0.1010205232552067, and quantile values: 0.25 -0.641866\n0.50 -0.101021\n0.75 0.375846\nName: 3190, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16691124721687603, std values: 0.8850578953524458, min values: -2.0143923337849454, max values: 3.090297571450676, median values: 0.2418748093890385, and quantile values: 0.25 -0.483832\n0.50 0.241875\n0.75 0.833603\nName: 3191, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23665885088105656, std values: 0.8008084798226673, min values: -2.3771558481240653, max values: 4.0, median values: -0.3126041685874789, and quantile values: 0.25 -0.804182\n0.50 -0.312604\n0.75 0.269962\nName: 3192, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05742975706845125, std values: 0.8883134274122725, min values: -2.2398683045325223, max values: 3.224152805256112, median values: -0.1218317093247527, and quantile values: 0.25 -0.777834\n0.50 -0.121832\n0.75 0.562194\nName: 3193, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18681755471927353, std values: 0.8071088849113082, min values: -2.4536054974529624, max values: 6.0, median values: 0.246037103926728, and quantile values: 0.25 -0.398446\n0.50 0.246037\n0.75 0.726185\nName: 3194, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18192000619979495, std values: 0.6864577659853335, min values: -2.5879430435308, max values: 3.5021977227593246, median values: 0.1956586755825594, and quantile values: 0.25 -0.251215\n0.50 0.195659\n0.75 0.582241\nName: 3195, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.027723223402122462, std values: 0.7412085954947945, min values: -2.3344113078233786, max values: 3.1227871431249503, median values: 0.0161111951111679, and quantile values: 0.25 -0.459214\n0.50 0.016111\n0.75 0.470695\nName: 3196, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22985826699740353, std values: 0.8553985569767405, min values: -2.622408470084112, max values: 3.2266531185902125, median values: -0.225092554361121, and quantile values: 0.25 -0.873645\n0.50 -0.225093\n0.75 0.366847\nName: 3197, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15161735801894455, std values: 0.8839025967372945, min values: -2.5825978442440407, max values: 6.0, median values: -0.2301514690790674, and quantile values: 0.25 -0.851433\n0.50 -0.230151\n0.75 0.472755\nName: 3198, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5076894835523774, std values: 0.9617517112865861, min values: -2.3333312203517527, max values: 3.3337116327022187, median values: 0.6345367231321807, and quantile values: 0.25 -0.148262\n0.50 0.634537\n0.75 1.183797\nName: 3199, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3599929820006267, std values: 0.9688412797007413, min values: -2.643887016977268, max values: 6.0, median values: -0.4634449232864789, and quantile values: 0.25 -1.051680\n0.50 -0.463445\n0.75 0.250717\nName: 3200, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1210141151228555, std values: 0.981408687370006, min values: -2.92272757463548, max values: 6.0, median values: -0.1768528444558333, and quantile values: 0.25 -0.824986\n0.50 -0.176853\n0.75 0.502677\nName: 3201, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08724145751875206, std values: 0.9356150332849429, min values: -2.5046447434119337, max values: 4.0, median values: 0.1217340834699297, and quantile values: 0.25 -0.617385\n0.50 0.121734\n0.75 0.735797\nName: 3202, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20208786378751867, std values: 0.773436458065432, min values: -2.209826040384377, max values: 3.191712471143802, median values: -0.2032772608338973, and quantile values: 0.25 -0.732912\n0.50 -0.203277\n0.75 0.254911\nName: 3203, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3086428206578006, std values: 1.1039086150310327, min values: -2.5953860446419177, max values: 3.045947208515846, median values: -0.1505513626172901, and quantile values: 0.25 -1.023794\n0.50 -0.150551\n0.75 0.439058\nName: 3204, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.021304706468508575, std values: 0.9734828379367185, min values: -2.136064736636534, max values: 5.0, median values: -0.1290471578979226, and quantile values: 0.25 -0.791687\n0.50 -0.129047\n0.75 0.686431\nName: 3205, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34823607287311437, std values: 0.9813999247392914, min values: -2.016491303607746, max values: 3.2701555622463814, median values: 0.3098003172129738, and quantile values: 0.25 -0.373847\n0.50 0.309800\n0.75 1.002640\nName: 3206, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06302523972863767, std values: 0.7938852307079791, min values: -2.2915911556076085, max values: 3.0, median values: -0.1100207979226147, and quantile values: 0.25 -0.594428\n0.50 -0.110021\n0.75 0.407634\nName: 3207, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1271893431619664, std values: 0.792943483796851, min values: -2.156806272086999, max values: 3.0, median values: -0.1684804990208115, and quantile values: 0.25 -0.682985\n0.50 -0.168480\n0.75 0.386121\nName: 3208, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1779244544034138, std values: 0.8586993833119938, min values: -2.5122218748354936, max values: 3.3483277116524426, median values: 0.2317636394649019, and quantile values: 0.25 -0.320300\n0.50 0.231764\n0.75 0.728495\nName: 3209, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18406340950376907, std values: 0.9956761308503959, min values: -2.769191083399913, max values: 3.258347009006034, median values: 0.2057568056065843, and quantile values: 0.25 -0.410758\n0.50 0.205757\n0.75 0.789278\nName: 3210, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4967067649611989, std values: 0.97668196108674, min values: -2.349293916724472, max values: 3.236860296211547, median values: -0.6022276206776944, and quantile values: 0.25 -1.316151\n0.50 -0.602228\n0.75 0.198984\nName: 3211, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4891376291739933, std values: 0.735446869505684, min values: -2.3776206456794275, max values: 4.0, median values: -0.5582894608565873, and quantile values: 0.25 -0.990141\n0.50 -0.558289\n0.75 -0.069814\nName: 3212, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2264124407544181, std values: 1.1198488585862632, min values: -2.949186837165601, max values: 4.0, median values: -0.1416386781050719, and quantile values: 0.25 -0.813415\n0.50 -0.141639\n0.75 0.476608\nName: 3213, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3884784033111571, std values: 1.0932782517782023, min values: -2.693453432157769, max values: 3.379902545505621, median values: -0.4456724297515542, and quantile values: 0.25 -1.262259\n0.50 -0.445672\n0.75 0.401621\nName: 3214, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3453391078102736, std values: 1.019329407270691, min values: -2.9109251266226006, max values: 3.1395741599540568, median values: -0.3254786049177844, and quantile values: 0.25 -0.912547\n0.50 -0.325479\n0.75 0.292826\nName: 3215, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1784506699774334, std values: 0.7445302951443115, min values: -2.4657737907743, max values: 3.0, median values: -0.1668266374595194, and quantile values: 0.25 -0.697773\n0.50 -0.166827\n0.75 0.310349\nName: 3216, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1100134857338648, std values: 0.8084437618600415, min values: -2.5422910691068967, max values: 4.243835016543704, median values: 0.0313999759697378, and quantile values: 0.25 -0.472786\n0.50 0.031400\n0.75 0.658089\nName: 3217, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47483731885058633, std values: 0.9264559510222574, min values: -2.5213149333948146, max values: 3.784832159836258, median values: 0.521558754255719, and quantile values: 0.25 -0.165241\n0.50 0.521559\n0.75 1.203097\nName: 3218, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17730571651960625, std values: 0.8673933827360448, min values: -2.119174832037031, max values: 5.0, median values: -0.2809458635632139, and quantile values: 0.25 -0.844647\n0.50 -0.280946\n0.75 0.389073\nName: 3219, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3999719404314328, std values: 1.010121010026338, min values: -2.119621483749997, max values: 4.278004674434932, median values: 0.3402673936217563, and quantile values: 0.25 -0.330847\n0.50 0.340267\n0.75 1.012929\nName: 3220, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05419950047155375, std values: 0.8855963732678379, min values: -2.789830374413015, max values: 3.4758930087721422, median values: -0.0019852996792724, and quantile values: 0.25 -0.602954\n0.50 -0.001985\n0.75 0.669588\nName: 3221, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04535283045527329, std values: 0.8977933796564238, min values: -2.7542003929097176, max values: 5.0, median values: 0.0935772814907606, and quantile values: 0.25 -0.525918\n0.50 0.093577\n0.75 0.576606\nName: 3222, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22445462601945687, std values: 0.9691381331178808, min values: -2.5293911731823453, max values: 3.0, median values: -0.226181608060849, and quantile values: 0.25 -0.820444\n0.50 -0.226182\n0.75 0.417943\nName: 3223, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.401153997134947, std values: 0.8912838243498767, min values: -2.693453432157769, max values: 3.670892362631932, median values: 0.5171780672587732, and quantile values: 0.25 -0.241411\n0.50 0.517178\n0.75 1.075971\nName: 3224, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16262225562393443, std values: 0.9887255711730133, min values: -2.264034258932616, max values: 3.050873041333768, median values: -0.216795919916301, and quantile values: 0.25 -1.005683\n0.50 -0.216796\n0.75 0.564163\nName: 3225, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2592692383797528, std values: 0.8554775233463144, min values: -2.579952672199424, max values: 6.0, median values: 0.3089047553688107, and quantile values: 0.25 -0.326777\n0.50 0.308905\n0.75 0.873735\nName: 3226, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41895958630503477, std values: 0.8074550482474275, min values: -2.6850842010492566, max values: 6.0, median values: 0.4385113136051604, and quantile values: 0.25 -0.112515\n0.50 0.438511\n0.75 0.934778\nName: 3227, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13684163994041737, std values: 0.8539877861232036, min values: -2.6320986139293034, max values: 3.9048392686725855, median values: 0.0726454086057094, and quantile values: 0.25 -0.472324\n0.50 0.072645\n0.75 0.709063\nName: 3228, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20594652818093964, std values: 0.7961286419107415, min values: -2.001164707410773, max values: 6.0, median values: -0.2724760714463912, and quantile values: 0.25 -0.762509\n0.50 -0.272476\n0.75 0.249644\nName: 3229, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40811763417657393, std values: 1.0752165237397564, min values: -2.6023368942328267, max values: 3.8226908388056136, median values: -0.5240529598852197, and quantile values: 0.25 -1.260733\n0.50 -0.524053\n0.75 0.292901\nName: 3230, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15262805342281713, std values: 0.8479347707660223, min values: -2.1232100101643527, max values: 6.0, median values: -0.2724189102348804, and quantile values: 0.25 -0.740462\n0.50 -0.272419\n0.75 0.343500\nName: 3231, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2058329949677095, std values: 0.7419201584837242, min values: -2.047302085077502, max values: 3.0, median values: -0.2552528734162985, and quantile values: 0.25 -0.699948\n0.50 -0.255253\n0.75 0.241582\nName: 3232, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1665898317340138, std values: 0.8512166025512126, min values: -2.3937380876386865, max values: 4.0, median values: -0.2335745140646567, and quantile values: 0.25 -0.793497\n0.50 -0.233575\n0.75 0.411710\nName: 3233, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23404040913444518, std values: 1.4975731559475656, min values: -3.0960472541202715, max values: 6.0, median values: 0.2235152554514564, and quantile values: 0.25 -1.879374\n0.50 0.223515\n0.75 0.988075\nName: 3234, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20224455365136176, std values: 0.8660906960121435, min values: -2.5156802245814003, max values: 4.0, median values: -0.2856472385363149, and quantile values: 0.25 -0.803062\n0.50 -0.285647\n0.75 0.377702\nName: 3235, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0566556771073894, std values: 0.7374073417954669, min values: -2.374446373878101, max values: 4.0, median values: 0.0583337922086653, and quantile values: 0.25 -0.425616\n0.50 0.058334\n0.75 0.517157\nName: 3236, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3176466137710157, std values: 0.8020594545337858, min values: -2.5631847770497496, max values: 4.0, median values: 0.2732203312941857, and quantile values: 0.25 -0.226206\n0.50 0.273220\n0.75 0.850295\nName: 3237, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26132743077785386, std values: 0.9508442948289467, min values: -2.4960309093026924, max values: 3.216771431244405, median values: -0.347824652496032, and quantile values: 0.25 -1.067661\n0.50 -0.347825\n0.75 0.400135\nName: 3238, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34535462730522504, std values: 0.9866348450043713, min values: -2.6023368942328267, max values: 3.721862465295849, median values: 0.4863184845559956, and quantile values: 0.25 -0.202832\n0.50 0.486318\n0.75 1.060624\nName: 3239, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.48236841061901037, std values: 0.8047160871069572, min values: -2.106402139749333, max values: 3.247416277295021, median values: 0.577953438474162, and quantile values: 0.25 -0.043572\n0.50 0.577953\n0.75 1.044572\nName: 3240, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07823841683394267, std values: 0.8076475232049527, min values: -2.4536054974529624, max values: 6.0, median values: -0.0029779519641927, and quantile values: 0.25 -0.452801\n0.50 -0.002978\n0.75 0.559450\nName: 3241, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1262361730326863, std values: 1.279623325177458, min values: -2.623568901859613, max values: 4.0, median values: -0.2055880376737971, and quantile values: 0.25 -0.991721\n0.50 -0.205588\n0.75 0.817766\nName: 3242, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13187340835081557, std values: 0.7803454524275527, min values: -2.163837561516034, max values: 3.0, median values: -0.1317426233046211, and quantile values: 0.25 -0.696085\n0.50 -0.131743\n0.75 0.408984\nName: 3243, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35847535213653936, std values: 0.7412957614303748, min values: -1.9699298801385488, max values: 3.041094191308108, median values: 0.4418737985976487, and quantile values: 0.25 -0.117671\n0.50 0.441874\n0.75 0.893325\nName: 3244, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07030234563882977, std values: 0.8326661308330101, min values: -2.093118169123624, max values: 5.0, median values: -0.1366534095026485, and quantile values: 0.25 -0.669528\n0.50 -0.136653\n0.75 0.471493\nName: 3245, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.015160147218066772, std values: 1.1485719794535283, min values: -2.9622221028070275, max values: 4.0, median values: 0.1136662751084326, and quantile values: 0.25 -0.686013\n0.50 0.113666\n0.75 0.927413\nName: 3246, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22617304461394058, std values: 1.0146831554339775, min values: -2.521882829270847, max values: 4.0, median values: 0.2893497075012725, and quantile values: 0.25 -0.503939\n0.50 0.289350\n0.75 1.028848\nName: 3247, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16670834077113011, std values: 0.9294875374023689, min values: -2.842989614395848, max values: 5.0, median values: -0.177593832120171, and quantile values: 0.25 -0.757115\n0.50 -0.177594\n0.75 0.370797\nName: 3248, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3281361444408324, std values: 1.010034298812829, min values: -2.558791007225312, max values: 3.0, median values: -0.1719732227016175, and quantile values: 0.25 -0.907962\n0.50 -0.171973\n0.75 0.321419\nName: 3249, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14773612789577484, std values: 0.8638932752772536, min values: -2.507084845405409, max values: 3.0, median values: -0.240948863379764, and quantile values: 0.25 -0.800610\n0.50 -0.240949\n0.75 0.444791\nName: 3250, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15566418123429013, std values: 0.9762167660650654, min values: -2.634919142586459, max values: 6.0, median values: 0.1978309582357034, and quantile values: 0.25 -0.425174\n0.50 0.197831\n0.75 0.752778\nName: 3251, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0516307443301742, std values: 1.0075498283003832, min values: -2.5563022890751474, max values: 4.0, median values: 0.0425059562327294, and quantile values: 0.25 -0.771804\n0.50 0.042506\n0.75 0.856827\nName: 3252, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03056963177600181, std values: 0.9872225426265588, min values: -2.855306289371099, max values: 6.0, median values: 0.0259449433712783, and quantile values: 0.25 -0.782352\n0.50 0.025945\n0.75 0.685255\nName: 3253, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10079308296684786, std values: 0.8603393448330716, min values: -2.27710446206836, max values: 3.5021977227593246, median values: -0.2047161631868347, and quantile values: 0.25 -0.771948\n0.50 -0.204716\n0.75 0.491812\nName: 3254, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5196943405920026, std values: 1.1785084272782014, min values: -2.622709665346679, max values: 3.4217036547572275, median values: 0.6151539028189358, and quantile values: 0.25 -0.064680\n0.50 0.615154\n0.75 1.340187\nName: 3255, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07946723107144758, std values: 0.7932359435986575, min values: -2.024977263287256, max values: 3.379902545505621, median values: -0.1620036109259662, and quantile values: 0.25 -0.622692\n0.50 -0.162004\n0.75 0.423934\nName: 3256, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24035174323743558, std values: 0.8856415308460226, min values: -2.8889090019311845, max values: 5.0, median values: -0.3347179788663244, and quantile values: 0.25 -0.897449\n0.50 -0.334718\n0.75 0.344462\nName: 3257, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09039293786354537, std values: 0.9341615750653484, min values: -2.622408470084112, max values: 3.627976272701048, median values: 0.1256160854751906, and quantile values: 0.25 -0.429821\n0.50 0.125616\n0.75 0.647082\nName: 3258, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24141952184666007, std values: 0.8142906102282775, min values: -2.724017888297919, max values: 3.32433157891547, median values: -0.317216147869533, and quantile values: 0.25 -0.740193\n0.50 -0.317216\n0.75 0.231283\nName: 3259, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07670995448319416, std values: 0.7971656592946541, min values: -2.275531026921315, max values: 6.0, median values: -0.1286597377248903, and quantile values: 0.25 -0.633264\n0.50 -0.128660\n0.75 0.430200\nName: 3260, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3507848330316779, std values: 0.9803416669495235, min values: -2.6652153608723106, max values: 5.0, median values: 0.396425328421179, and quantile values: 0.25 -0.268831\n0.50 0.396425\n0.75 1.009619\nName: 3261, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3462753220885404, std values: 1.2338329377273878, min values: -2.8297583842718432, max values: 5.0, median values: 0.6388196279480987, and quantile values: 0.25 -0.294110\n0.50 0.638820\n0.75 1.221472\nName: 3262, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24120206572667466, std values: 0.9144667995673308, min values: -2.102760548955074, max values: 5.0, median values: -0.2567895420348144, and quantile values: 0.25 -0.970079\n0.50 -0.256790\n0.75 0.417943\nName: 3263, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13683092814747838, std values: 0.7784364004580245, min values: -1.989601414953614, max values: 3.312693232344632, median values: 0.0873831628016758, and quantile values: 0.25 -0.352363\n0.50 0.087383\n0.75 0.613174\nName: 3264, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08349782067459902, std values: 0.9826926773049033, min values: -2.510124273981921, max values: 3.9905524164385566, median values: -0.1508621202586852, and quantile values: 0.25 -0.776012\n0.50 -0.150862\n0.75 0.587027\nName: 3265, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5059491741774902, std values: 0.8925288817578741, min values: -2.687115288423959, max values: 5.0, median values: 0.5923701570290463, and quantile values: 0.25 -0.070587\n0.50 0.592370\n0.75 1.124917\nName: 3266, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2197109537194874, std values: 0.871762305637703, min values: -2.051448664269812, max values: 4.0, median values: 0.2773952890471841, and quantile values: 0.25 -0.355282\n0.50 0.277395\n0.75 0.785598\nName: 3267, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6201336936269503, std values: 0.8463120057770636, min values: -1.9781022093385048, max values: 3.455472209455805, median values: 0.6781590689625203, and quantile values: 0.25 0.037280\n0.50 0.678159\n0.75 1.259332\nName: 3268, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04753869994039061, std values: 1.1508298104410593, min values: -2.873069976951463, max values: 3.176672644814091, median values: 0.2668499331594291, and quantile values: 0.25 -0.485214\n0.50 0.266850\n0.75 0.759543\nName: 3269, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16393112877098082, std values: 0.9610341625670936, min values: -2.537573835824454, max values: 6.0, median values: -0.2965295557077404, and quantile values: 0.25 -0.934266\n0.50 -0.296530\n0.75 0.479426\nName: 3270, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3234659360970981, std values: 0.941377196843246, min values: -2.673124659932621, max values: 6.0, median values: -0.286295759459919, and quantile values: 0.25 -0.932524\n0.50 -0.286296\n0.75 0.323902\nName: 3271, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.5578895554342487, std values: 1.4807281573775652, min values: -3.101800431129944, max values: 6.0, median values: -2.075893982221889, and quantile values: 0.25 -2.386076\n0.50 -2.075894\n0.75 -1.711603\nName: 3272, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04742008514204323, std values: 0.8553634425503347, min values: -2.510124273981921, max values: 3.0, median values: -0.058552472664166, and quantile values: 0.25 -0.617352\n0.50 -0.058552\n0.75 0.516482\nName: 3273, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4920239896066894, std values: 1.130196020598104, min values: -3.045947208515832, max values: 6.0, median values: -0.5575877748169422, and quantile values: 0.25 -1.375012\n0.50 -0.557588\n0.75 0.286542\nName: 3274, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7389803155199703, std values: 1.1742725338537972, min values: -2.5825978442440407, max values: 6.0, median values: 0.5999359727919372, and quantile values: 0.25 -0.154592\n0.50 0.599936\n0.75 1.726405\nName: 3275, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23547902055982833, std values: 0.7694543195608058, min values: -2.104667097879677, max values: 4.0, median values: 0.2376517936737443, and quantile values: 0.25 -0.262662\n0.50 0.237652\n0.75 0.732136\nName: 3276, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24008544853204142, std values: 0.9922227357174107, min values: -2.0697574862023345, max values: 5.0, median values: -0.3148605949183889, and quantile values: 0.25 -1.028596\n0.50 -0.314861\n0.75 0.446775\nName: 3277, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.026945041159910862, std values: 0.7463332211184878, min values: -1.9613290276361828, max values: 4.0, median values: 0.0302567816259165, and quantile values: 0.25 -0.510139\n0.50 0.030257\n0.75 0.438537\nName: 3278, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3622400135440644, std values: 0.9750260477398905, min values: -2.6668673616981367, max values: 4.0, median values: -0.3991502945102992, and quantile values: 0.25 -0.967095\n0.50 -0.399150\n0.75 0.281232\nName: 3279, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30021801056932634, std values: 1.0248335823980974, min values: -2.642076374475679, max values: 5.0, median values: -0.46632902727108, and quantile values: 0.25 -1.136636\n0.50 -0.466329\n0.75 0.381157\nName: 3280, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2950750835576602, std values: 0.8521832734782017, min values: -2.5569229852416258, max values: 4.0, median values: -0.4194396265707922, and quantile values: 0.25 -0.920342\n0.50 -0.419440\n0.75 0.303031\nName: 3281, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15227735765136355, std values: 0.8660056203944105, min values: -2.6404955031131814, max values: 5.0, median values: -0.2540353924875528, and quantile values: 0.25 -0.802509\n0.50 -0.254035\n0.75 0.454083\nName: 3282, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1966339761038265, std values: 1.2242857162777232, min values: -2.9265160609644223, max values: 6.0, median values: 0.0161111951111679, and quantile values: 0.25 -0.924219\n0.50 0.016111\n0.75 0.638685\nName: 3283, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20076705211454138, std values: 0.8218298869684258, min values: -1.9870869113932128, max values: 3.670892362631932, median values: 0.1475879390139695, and quantile values: 0.25 -0.339917\n0.50 0.147588\n0.75 0.702554\nName: 3284, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15758827535152528, std values: 0.9044130608481789, min values: -2.525881048269423, max values: 3.022367128892113, median values: -0.2724108210289924, and quantile values: 0.25 -0.845001\n0.50 -0.272411\n0.75 0.454702\nName: 3285, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.027608224736381616, std values: 0.870484296847059, min values: -2.5293911731823453, max values: 3.2328207660681025, median values: 0.0293060234333229, and quantile values: 0.25 -0.460932\n0.50 0.029306\n0.75 0.499970\nName: 3286, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21837924692065758, std values: 1.2059262512337299, min values: -2.684072796644972, max values: 6.0, median values: -0.0082012649858978, and quantile values: 0.25 -1.082403\n0.50 -0.008201\n0.75 0.732083\nName: 3287, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08559213972106908, std values: 0.7351032442508947, min values: -2.4564928597243227, max values: 4.0, median values: -0.0847295803307693, and quantile values: 0.25 -0.579568\n0.50 -0.084730\n0.75 0.351953\nName: 3288, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.012663605128189533, std values: 0.772326290495111, min values: -2.1154918763173005, max values: 5.0, median values: 0.0024510013162769, and quantile values: 0.25 -0.484986\n0.50 0.002451\n0.75 0.480116\nName: 3289, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4330593371652963, std values: 0.7594564086704603, min values: -1.948865019249266, max values: 6.0, median values: 0.4884867954645822, and quantile values: 0.25 -0.051049\n0.50 0.488487\n0.75 0.936829\nName: 3290, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07712708877986221, std values: 0.7526630200900828, min values: -2.196708653609315, max values: 6.0, median values: 0.0936822199234722, and quantile values: 0.25 -0.408728\n0.50 0.093682\n0.75 0.525171\nName: 3291, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.019191176457237048, std values: 0.9846136514706751, min values: -2.4823451998031074, max values: 3.5021977227593246, median values: 0.0304695902404883, and quantile values: 0.25 -0.657423\n0.50 0.030470\n0.75 0.756549\nName: 3292, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19361339584275786, std values: 0.8087166183039757, min values: -2.39180940730784, max values: 4.0, median values: -0.249766023289849, and quantile values: 0.25 -0.813251\n0.50 -0.249766\n0.75 0.370554\nName: 3293, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21788794548762191, std values: 0.7814251938013232, min values: -1.976101653356596, max values: 5.0, median values: 0.2743057014661727, and quantile values: 0.25 -0.300014\n0.50 0.274306\n0.75 0.712257\nName: 3294, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17788940726182936, std values: 0.9476960996446202, min values: -2.099713839971814, max values: 5.0, median values: -0.2896656048034614, and quantile values: 0.25 -0.911712\n0.50 -0.289666\n0.75 0.456160\nName: 3295, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07207043728171414, std values: 0.8122078511866914, min values: -2.5689076212724418, max values: 5.0, median values: 0.1118496115400021, and quantile values: 0.25 -0.482912\n0.50 0.111850\n0.75 0.599193\nName: 3296, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30519295257868234, std values: 0.7968052921732824, min values: -2.419659473655063, max values: 4.0, median values: 0.3157749419282821, and quantile values: 0.25 -0.204238\n0.50 0.315775\n0.75 0.773014\nName: 3297, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03070592943060476, std values: 1.5422175967896512, min values: -2.947062251106049, max values: 3.670892362631932, median values: -0.0930240926956537, and quantile values: 0.25 -1.579010\n0.50 -0.093024\n0.75 1.191928\nName: 3298, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3340793021143148, std values: 1.2724148300366735, min values: -2.825926939679757, max values: 4.026668017837955, median values: -0.3592870568341326, and quantile values: 0.25 -1.320913\n0.50 -0.359287\n0.75 0.579127\nName: 3299, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1113825701847479, std values: 0.7873983644650892, min values: -2.005672204034532, max values: 3.2266531185902125, median values: 0.1244401055462002, and quantile values: 0.25 -0.407216\n0.50 0.124440\n0.75 0.583829\nName: 3300, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23886880823013407, std values: 0.8417754055587817, min values: -2.4564928597243227, max values: 4.0, median values: -0.2518686321413935, and quantile values: 0.25 -0.862573\n0.50 -0.251869\n0.75 0.323785\nName: 3301, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9628955922361462, std values: 1.365111693050366, min values: -2.727901130262228, max values: 4.0, median values: -1.6839318674260728, and quantile values: 0.25 -2.140406\n0.50 -1.683932\n0.75 0.334223\nName: 3302, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09309848678145752, std values: 0.9600081299141151, min values: -1.943046442857159, max values: 3.32433157891547, median values: -0.0435721750174349, and quantile values: 0.25 -0.644064\n0.50 -0.043572\n0.75 0.729817\nName: 3303, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11441494923370642, std values: 0.9859637228644426, min values: -2.687115288423959, max values: 5.0, median values: -0.034954504971371, and quantile values: 0.25 -0.759285\n0.50 -0.034955\n0.75 0.516234\nName: 3304, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0970174649464179, std values: 1.0436449407618578, min values: -2.9797100147087465, max values: 5.0, median values: 0.0040415112658353, and quantile values: 0.25 -0.605406\n0.50 0.004042\n0.75 0.554923\nName: 3305, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5542218139858456, std values: 0.8068055213739084, min values: -2.7648443048846945, max values: 3.434669824302974, median values: 0.6138016672868212, and quantile values: 0.25 0.002222\n0.50 0.613802\n0.75 1.163932\nName: 3306, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1853392589208596, std values: 1.305188776302347, min values: -2.8246479422601736, max values: 5.0, median values: 0.1447270390964868, and quantile values: 0.25 -0.784511\n0.50 0.144727\n0.75 1.285631\nName: 3307, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3782755720641647, std values: 0.814905966192722, min values: -2.1553300733566907, max values: 5.0, median values: -0.4607903996330981, and quantile values: 0.25 -1.012061\n0.50 -0.460790\n0.75 0.157290\nName: 3308, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7545328457934332, std values: 1.2134982126439258, min values: -2.1547684225520003, max values: 6.0, median values: 0.6788177416935344, and quantile values: 0.25 -0.210034\n0.50 0.678818\n0.75 1.755783\nName: 3309, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10595870184168572, std values: 0.768442345460502, min values: -2.0692886635397403, max values: 6.0, median values: 0.1014357348780696, and quantile values: 0.25 -0.401418\n0.50 0.101436\n0.75 0.605860\nName: 3310, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07635719138944749, std values: 0.7982917416036436, min values: -2.0477799217050063, max values: 5.0, median values: -0.1596323023063741, and quantile values: 0.25 -0.607817\n0.50 -0.159632\n0.75 0.409341\nName: 3311, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.012840258562261782, std values: 0.7162275940250837, min values: -2.0730520506365586, max values: 2.879968592907282, median values: 0.025386184255746, and quantile values: 0.25 -0.478306\n0.50 0.025386\n0.75 0.449051\nName: 3312, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.038555383890599565, std values: 0.885136295387889, min values: -2.1232984465035774, max values: 3.867701659180865, median values: -0.1391587435267616, and quantile values: 0.25 -0.679199\n0.50 -0.139159\n0.75 0.570082\nName: 3313, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3046225556128571, std values: 0.8771973588734898, min values: -2.6122411453164007, max values: 4.0, median values: -0.3900672381593818, and quantile values: 0.25 -0.884728\n0.50 -0.390067\n0.75 0.232078\nName: 3314, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16513598115711786, std values: 0.7965751586350295, min values: -2.7230534645798463, max values: 3.0, median values: -0.2020710138352977, and quantile values: 0.25 -0.655752\n0.50 -0.202071\n0.75 0.272762\nName: 3315, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29407100337533437, std values: 0.7590354059960214, min values: -2.5879430435308, max values: 3.1801075704642923, median values: 0.2820346501556184, and quantile values: 0.25 -0.168193\n0.50 0.282035\n0.75 0.784601\nName: 3316, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20506078335856207, std values: 1.0321362910703538, min values: -2.982771139679002, max values: 4.0, median values: 0.4001608154850118, and quantile values: 0.25 -0.376561\n0.50 0.400161\n0.75 0.911503\nName: 3317, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5489380016739364, std values: 1.0240248716906917, min values: -2.300042081328127, max values: 4.0, median values: 0.4345982052274079, and quantile values: 0.25 -0.242823\n0.50 0.434598\n0.75 1.436086\nName: 3318, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23164457622519324, std values: 0.94327526275302, min values: -2.3956757135390148, max values: 3.124705982383484, median values: 0.3571455334713288, and quantile values: 0.25 -0.399137\n0.50 0.357146\n0.75 0.915055\nName: 3319, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3268603686683908, std values: 0.9981169641872948, min values: -2.7211321814067784, max values: 3.312693232344632, median values: -0.4886732100333097, and quantile values: 0.25 -1.126422\n0.50 -0.488673\n0.75 0.292926\nName: 3320, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04437041856206979, std values: 0.9400883294862447, min values: -2.622408470084112, max values: 3.0, median values: -0.079976724318357, and quantile values: 0.25 -0.630494\n0.50 -0.079977\n0.75 0.591007\nName: 3321, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37517716733870377, std values: 0.9112198824583466, min values: -3.1386665508340674, max values: 3.306454397423372, median values: -0.3864229369202421, and quantile values: 0.25 -0.939438\n0.50 -0.386423\n0.75 0.170686\nName: 3322, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04885036391409674, std values: 0.8747724895083266, min values: -3.103622965243163, max values: 4.026668017837955, median values: 0.1049879453885408, and quantile values: 0.25 -0.443241\n0.50 0.104988\n0.75 0.588488\nName: 3323, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29906431571831593, std values: 1.032657169905568, min values: -2.9797100147087465, max values: 5.0, median values: 0.3244249300982799, and quantile values: 0.25 -0.416148\n0.50 0.324425\n0.75 1.056431\nName: 3324, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1511385854506311, std values: 1.3284183088357346, min values: -2.873069976951463, max values: 3.784832159836258, median values: 0.2698362909695714, and quantile values: 0.25 -0.566151\n0.50 0.269836\n0.75 0.984581\nName: 3325, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3111247810126033, std values: 0.91180616195673, min values: -2.8246479422601736, max values: 5.0, median values: -0.312025854474602, and quantile values: 0.25 -0.902942\n0.50 -0.312026\n0.75 0.242798\nName: 3326, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12773343878543258, std values: 1.1423704008972035, min values: -2.7648443048846945, max values: 3.434669824302974, median values: 0.0652317867284044, and quantile values: 0.25 -0.835827\n0.50 0.065232\n0.75 1.149994\nName: 3327, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10021833848502587, std values: 0.9500492445388224, min values: -2.641174291463747, max values: 6.0, median values: 0.1164498773318694, and quantile values: 0.25 -0.470509\n0.50 0.116450\n0.75 0.688936\nName: 3328, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2384030007665104, std values: 1.027499901486132, min values: -3.1386665508340674, max values: 3.518664430018096, median values: 0.1820719544203553, and quantile values: 0.25 -0.377829\n0.50 0.182072\n0.75 0.920315\nName: 3329, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3807932551664874, std values: 0.8360395204550315, min values: -2.4564928597243227, max values: 4.0, median values: -0.5045953003160636, and quantile values: 0.25 -0.986864\n0.50 -0.504595\n0.75 0.129548\nName: 3330, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2128229193445934, std values: 0.9335411511787404, min values: -2.118599024240829, max values: 5.0, median values: 0.2169650879657771, and quantile values: 0.25 -0.484948\n0.50 0.216965\n0.75 0.873112\nName: 3331, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03148199261562468, std values: 1.188521300401916, min values: -2.981718296512785, max values: 5.0, median values: 0.0354780764881504, and quantile values: 0.25 -0.899346\n0.50 0.035478\n0.75 0.890264\nName: 3332, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.052571652289299116, std values: 1.1260022886497456, min values: -2.58513369695146, max values: 4.0, median values: -0.1856010428701657, and quantile values: 0.25 -0.859560\n0.50 -0.185601\n0.75 0.672696\nName: 3333, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2867336215808076, std values: 0.9694264323938722, min values: -2.841647375415054, max values: 3.050873041333768, median values: -0.3643342317097076, and quantile values: 0.25 -0.986909\n0.50 -0.364334\n0.75 0.356556\nName: 3334, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23429233986796777, std values: 0.907520977477159, min values: -2.0437322601529133, max values: 5.0, median values: 0.1105506360250113, and quantile values: 0.25 -0.473020\n0.50 0.110551\n0.75 0.872835\nName: 3335, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19935569043080673, std values: 0.9676978449370163, min values: -2.5631847770497496, max values: 4.0, median values: -0.2869957440334489, and quantile values: 0.25 -0.969887\n0.50 -0.286996\n0.75 0.461921\nName: 3336, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11826393973165411, std values: 0.9063952761716949, min values: -2.049514308809313, max values: 3.630507857092792, median values: -0.2177274442533152, and quantile values: 0.25 -0.797881\n0.50 -0.217727\n0.75 0.477040\nName: 3337, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.008974754915680864, std values: 0.8407720400471499, min values: -2.136604280590623, max values: 3.281452258958016, median values: -0.0287274543330455, and quantile values: 0.25 -0.576111\n0.50 -0.028727\n0.75 0.559008\nName: 3338, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3965573010904569, std values: 0.8364832328857158, min values: -1.9878938033360591, max values: 2.9565017136140046, median values: 0.4485027863081944, and quantile values: 0.25 -0.169655\n0.50 0.448503\n0.75 0.971139\nName: 3339, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5254103650233514, std values: 0.8610515019227158, min values: -2.5631960397140583, max values: 4.0, median values: 0.5395016478176781, and quantile values: 0.25 -0.039777\n0.50 0.539502\n0.75 1.111997\nName: 3340, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3843475538661713, std values: 1.0238189278362648, min values: -2.73836943861057, max values: 3.4217036547572275, median values: 0.4380950364559066, and quantile values: 0.25 -0.401185\n0.50 0.438095\n0.75 1.201395\nName: 3341, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6066735173710364, std values: 0.879728593441409, min values: -2.0893298172807167, max values: 6.0, median values: 0.6924387588071058, and quantile values: 0.25 0.045796\n0.50 0.692439\n0.75 1.239556\nName: 3342, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.018465221645116946, std values: 0.8749388312318477, min values: -2.0792309011718992, max values: 5.0, median values: -0.0190859026288812, and quantile values: 0.25 -0.659360\n0.50 -0.019086\n0.75 0.633224\nName: 3343, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5586863197624785, std values: 0.8911543725992543, min values: -2.642042398333877, max values: 4.026668017837955, median values: -0.6315325171176297, and quantile values: 0.25 -1.175598\n0.50 -0.631533\n0.75 -0.064614\nName: 3344, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7919977150253554, std values: 1.0742456329818615, min values: -2.27710446206836, max values: 3.162318759909359, median values: 0.7620438410082497, and quantile values: 0.25 -0.013990\n0.50 0.762044\n0.75 1.681692\nName: 3345, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1669733886308444, std values: 0.7908624876138414, min values: -2.8563982925340614, max values: 4.0, median values: -0.2342632791800121, and quantile values: 0.25 -0.702766\n0.50 -0.234263\n0.75 0.322336\nName: 3346, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46347445489554734, std values: 0.9906854388226398, min values: -2.608390851963037, max values: 5.0, median values: -0.4185623264400891, and quantile values: 0.25 -1.103272\n0.50 -0.418562\n0.75 0.146584\nName: 3347, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4595012104379243, std values: 0.9199098644510479, min values: -2.6466193392086392, max values: 4.0, median values: 0.5522507675441616, and quantile values: 0.25 -0.085227\n0.50 0.552251\n0.75 1.126059\nName: 3348, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16873554668120178, std values: 1.1039971284750931, min values: -2.641174291463747, max values: 6.0, median values: 0.2199787276446601, and quantile values: 0.25 -0.647889\n0.50 0.219979\n0.75 1.100627\nName: 3349, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.00802281790169463, std values: 0.7791202182313163, min values: -1.941956337414587, max values: 3.241738645014612, median values: -0.0482676119424747, and quantile values: 0.25 -0.520835\n0.50 -0.048268\n0.75 0.491765\nName: 3350, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02011514424724518, std values: 1.0520293022489318, min values: -2.601639132009086, max values: 6.0, median values: -0.1301196777555367, and quantile values: 0.25 -0.784183\n0.50 -0.130120\n0.75 0.587195\nName: 3351, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3473038259193468, std values: 1.1586345090184254, min values: -2.869671295224012, max values: 6.0, median values: 0.609075823838091, and quantile values: 0.25 -0.299559\n0.50 0.609076\n0.75 1.162538\nName: 3352, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3927977901687279, std values: 0.7597896968651334, min values: -1.8108172012994908, max values: 3.3014869995452325, median values: 0.3301195890085941, and quantile values: 0.25 -0.117973\n0.50 0.330120\n0.75 0.887317\nName: 3353, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.042601023392203244, std values: 1.0116771940703702, min values: -2.125402219364062, max values: 3.9905524164385566, median values: -0.1000698157910842, and quantile values: 0.25 -0.850682\n0.50 -0.100070\n0.75 0.673384\nName: 3354, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02288897403328333, std values: 0.9135081526850577, min values: -2.062310304625852, max values: 3.3636961113187773, median values: -0.1001885821911466, and quantile values: 0.25 -0.743980\n0.50 -0.100189\n0.75 0.579861\nName: 3355, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0044827422121643265, std values: 0.9717366586716047, min values: -2.724017888297919, max values: 3.0, median values: -0.02335546061352, and quantile values: 0.25 -0.686536\n0.50 -0.023355\n0.75 0.689851\nName: 3356, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6503337796061633, std values: 1.0887007241864428, min values: -2.982771139679002, max values: 4.0, median values: -0.52747820543129, and quantile values: 0.25 -1.389762\n0.50 -0.527478\n0.75 0.062317\nName: 3357, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24052334703840664, std values: 0.9019969329820652, min values: -2.5825978442440407, max values: 6.0, median values: 0.1932834577175675, and quantile values: 0.25 -0.300510\n0.50 0.193283\n0.75 0.767767\nName: 3358, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7680051954922261, std values: 1.155795389743729, min values: -2.93129584560762, max values: 6.0, median values: -0.6675776143032901, and quantile values: 0.25 -1.850596\n0.50 -0.667578\n0.75 0.082104\nName: 3359, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5158297853082404, std values: 1.491142494932762, min values: -2.9265160609644223, max values: 6.0, median values: -0.3459828072240485, and quantile values: 0.25 -1.893143\n0.50 -0.345983\n0.75 0.399956\nName: 3360, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1658551133983091, std values: 0.8170445005655009, min values: -2.038443584566022, max values: 3.434669824302974, median values: 0.1242735870598186, and quantile values: 0.25 -0.351911\n0.50 0.124274\n0.75 0.650720\nName: 3361, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42098001498643395, std values: 0.8891486800153994, min values: -2.481901998915882, max values: 3.397048482165858, median values: -0.5050915970653618, and quantile values: 0.25 -1.045048\n0.50 -0.505092\n0.75 0.111683\nName: 3362, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05748853948845993, std values: 1.041290487198573, min values: -2.783691185534105, max values: 3.9048392686725855, median values: -0.1756917132561233, and quantile values: 0.25 -0.822313\n0.50 -0.175692\n0.75 0.617018\nName: 3363, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41675552223157797, std values: 1.0560550461137206, min values: -2.63315074164461, max values: 6.0, median values: 0.5848100563170501, and quantile values: 0.25 -0.252229\n0.50 0.584810\n0.75 1.174624\nName: 3364, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20647706292062493, std values: 1.1034950139591622, min values: -2.657750824678472, max values: 5.0, median values: 0.4192847854602499, and quantile values: 0.25 -0.362592\n0.50 0.419285\n0.75 0.967949\nName: 3365, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.021359416565106367, std values: 0.8014021228500454, min values: -1.989943634409112, max values: 4.0, median values: 0.0150921164636361, and quantile values: 0.25 -0.567428\n0.50 0.015092\n0.75 0.492652\nName: 3366, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2621891481733625, std values: 1.0165299101978362, min values: -2.608390851963037, max values: 5.0, median values: 0.4154943060047297, and quantile values: 0.25 -0.386016\n0.50 0.415494\n0.75 1.001781\nName: 3367, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2115812333710931, std values: 1.1613607955200844, min values: -2.6685266729136536, max values: 6.0, median values: -0.4298112223614391, and quantile values: 0.25 -1.121709\n0.50 -0.429811\n0.75 0.496545\nName: 3368, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07178936661047575, std values: 0.8141583254311237, min values: -2.09185204719853, max values: 5.0, median values: -0.1531095725406806, and quantile values: 0.25 -0.627044\n0.50 -0.153110\n0.75 0.412217\nName: 3369, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08796577221733111, std values: 1.0937113028004657, min values: -2.8246479422601736, max values: 5.0, median values: -0.1086484852469874, and quantile values: 0.25 -0.758147\n0.50 -0.108648\n0.75 0.667194\nName: 3370, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08255230013724252, std values: 1.1248623934155642, min values: -2.8563982925340614, max values: 4.0, median values: 0.0897055516780975, and quantile values: 0.25 -0.774672\n0.50 0.089706\n0.75 0.777323\nName: 3371, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6829795550268957, std values: 1.0315853531986567, min values: -2.505189322022038, max values: 5.0, median values: 0.7113583074501982, and quantile values: 0.25 -0.033659\n0.50 0.711358\n0.75 1.386730\nName: 3372, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13929550658431122, std values: 1.0279903571644977, min values: -3.2266531185902174, max values: 3.306454397423372, median values: 0.0559615401766181, and quantile values: 0.25 -0.604923\n0.50 0.055962\n0.75 0.885158\nName: 3373, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5276422845601675, std values: 0.9804180399162737, min values: -2.5825978442440407, max values: 6.0, median values: 0.6124611371964475, and quantile values: 0.25 -0.182714\n0.50 0.612461\n0.75 1.308884\nName: 3374, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3163827256911636, std values: 0.7343722895913388, min values: -2.2161166709808824, max values: 6.0, median values: 0.2609757807726032, and quantile values: 0.25 -0.135341\n0.50 0.260976\n0.75 0.789090\nName: 3375, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03130578578510233, std values: 1.1028335650263734, min values: -3.28024538647024, max values: 3.528773265847577, median values: -0.2020452556832489, and quantile values: 0.25 -0.898444\n0.50 -0.202045\n0.75 0.766322\nName: 3376, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0802277823442362, std values: 0.770129177196204, min values: -2.0540666893857096, max values: 3.349054967837474, median values: 0.0651828230393511, and quantile values: 0.25 -0.401851\n0.50 0.065183\n0.75 0.526202\nName: 3377, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11396823626896842, std values: 0.8311190577537528, min values: -2.2177722201506693, max values: 6.0, median values: -0.1818965882364152, and quantile values: 0.25 -0.645297\n0.50 -0.181897\n0.75 0.342563\nName: 3378, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.178261783507514, std values: 1.3280762399300663, min values: -2.9029979285382743, max values: 3.670892362631932, median values: -1.731884962490381, and quantile values: 0.25 -2.278687\n0.50 -1.731885\n0.75 -0.124274\nName: 3379, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31836263725082614, std values: 0.8601557315712614, min values: -2.142854198138545, max values: 5.0, median values: 0.3610276370111559, and quantile values: 0.25 -0.280373\n0.50 0.361028\n0.75 0.907547\nName: 3380, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16376401833102666, std values: 0.8319501699089228, min values: -2.003208525075155, max values: 2.6794952911897485, median values: -0.273122199312011, and quantile values: 0.25 -0.743871\n0.50 -0.273122\n0.75 0.378714\nName: 3381, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30886209886158505, std values: 0.749593404277049, min values: -2.2915911556076085, max values: 3.155170554159904, median values: -0.3432058038054122, and quantile values: 0.25 -0.835863\n0.50 -0.343206\n0.75 0.153638\nName: 3382, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22880477080888142, std values: 1.0861693033614255, min values: -2.8350118695332047, max values: 5.0, median values: -0.1816239793333739, and quantile values: 0.25 -0.869899\n0.50 -0.181624\n0.75 0.524053\nName: 3383, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28266905032458217, std values: 0.918762974554924, min values: -2.497627580948261, max values: 3.9905524164385566, median values: -0.1910392577381114, and quantile values: 0.25 -0.776445\n0.50 -0.191039\n0.75 0.271447\nName: 3384, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4338827713823309, std values: 1.022573040711054, min values: -2.8563982925340614, max values: 5.0, median values: 0.5110805417156284, and quantile values: 0.25 -0.228653\n0.50 0.511081\n0.75 1.208567\nName: 3385, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3214191561203428, std values: 0.7641931159416782, min values: -2.1713395431384868, max values: 4.0, median values: -0.3779055441136957, and quantile values: 0.25 -0.853522\n0.50 -0.377906\n0.75 0.145284\nName: 3386, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21056781241279304, std values: 0.729806708479877, min values: -2.2423374092797945, max values: 3.630507857092792, median values: -0.2432077934494622, and quantile values: 0.25 -0.688105\n0.50 -0.243208\n0.75 0.239660\nName: 3387, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10986706685139591, std values: 0.824779192552667, min values: -2.011274058715068, max values: 5.0, median values: -0.1970561597900594, and quantile values: 0.25 -0.678099\n0.50 -0.197056\n0.75 0.381868\nName: 3388, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11301245409551862, std values: 0.8443192511058253, min values: -2.688157591415518, max values: 3.17157439250477, median values: 0.1880671721333269, and quantile values: 0.25 -0.447114\n0.50 0.188067\n0.75 0.699432\nName: 3389, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19642489917535105, std values: 0.8541241406054261, min values: -2.558791007225312, max values: 3.415255285860171, median values: 0.2695619800615431, and quantile values: 0.25 -0.302215\n0.50 0.269562\n0.75 0.766118\nName: 3390, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09066377993502446, std values: 0.8379977099615, min values: -2.5039074859839925, max values: 4.0, median values: -0.1628965742424219, and quantile values: 0.25 -0.661512\n0.50 -0.162897\n0.75 0.439969\nName: 3391, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3178220019690247, std values: 0.8574865261730168, min values: -2.5213149333948146, max values: 3.163266084685921, median values: -0.3623437827835125, and quantile values: 0.25 -0.951581\n0.50 -0.362344\n0.75 0.279571\nName: 3392, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19639558368048426, std values: 0.9233607795075807, min values: -2.3184884946917497, max values: 6.0, median values: -0.3134405850456322, and quantile values: 0.25 -0.907838\n0.50 -0.313441\n0.75 0.386321\nName: 3393, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13889799903504604, std values: 1.1112264672946712, min values: -2.815821936576896, max values: 3.3483277116524426, median values: 0.1883755184214902, and quantile values: 0.25 -0.404793\n0.50 0.188376\n0.75 0.848363\nName: 3394, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08119032844976576, std values: 0.856643056895024, min values: -2.142854198138545, max values: 5.0, median values: -0.1704225772233348, and quantile values: 0.25 -0.673289\n0.50 -0.170423\n0.75 0.443210\nName: 3395, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.024228638523892496, std values: 0.8306733962389945, min values: -2.6820581866633817, max values: 3.9905524164385566, median values: 0.0461982497866741, and quantile values: 0.25 -0.532983\n0.50 0.046198\n0.75 0.569240\nName: 3396, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07842640666575346, std values: 0.7864101277927921, min values: -2.5682675825126706, max values: 5.0, median values: -0.0825781768999316, and quantile values: 0.25 -0.585455\n0.50 -0.082578\n0.75 0.410578\nName: 3397, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10347233464164945, std values: 1.0915843500381521, min values: -2.916688926075616, max values: 6.0, median values: 0.0310843784680293, and quantile values: 0.25 -0.703482\n0.50 0.031084\n0.75 0.584853\nName: 3398, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6442441924286068, std values: 0.8582527540069498, min values: -2.0903611962432427, max values: 5.0, median values: -0.7810321871420554, and quantile values: 0.25 -1.267714\n0.50 -0.781032\n0.75 -0.195472\nName: 3399, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14040930650509142, std values: 0.8693148821635739, min values: -2.8680719719444903, max values: 2.862971749830791, median values: -0.1056058585736646, and quantile values: 0.25 -0.718577\n0.50 -0.105606\n0.75 0.409601\nName: 3400, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4084315686327125, std values: 0.7447962469183568, min values: -2.4502625580775623, max values: 5.0, median values: -0.42276381666504, and quantile values: 0.25 -0.952881\n0.50 -0.422764\n0.75 0.080847\nName: 3401, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17832814284752785, std values: 0.9512166782145781, min values: -2.040629887786797, max values: 4.0, median values: -0.2882415377659341, and quantile values: 0.25 -0.932767\n0.50 -0.288242\n0.75 0.465658\nName: 3402, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5367454362176415, std values: 1.0098342136938794, min values: -2.740813841730953, max values: 3.390469008396469, median values: -0.6670165758816737, and quantile values: 0.25 -1.222745\n0.50 -0.667017\n0.75 0.137751\nName: 3403, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20425171428733166, std values: 1.07869379224395, min values: -2.662750916816848, max values: 5.0, median values: 0.0798275196736728, and quantile values: 0.25 -0.663507\n0.50 0.079828\n0.75 0.946397\nName: 3404, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11165591006674401, std values: 0.7813902060256166, min values: -2.196708653609315, max values: 6.0, median values: 0.0687647410384582, and quantile values: 0.25 -0.398882\n0.50 0.068765\n0.75 0.595046\nName: 3405, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08698373448493954, std values: 0.9305386678203686, min values: -2.673124659932621, max values: 6.0, median values: -0.0447663313641975, and quantile values: 0.25 -0.657922\n0.50 -0.044766\n0.75 0.509769\nName: 3406, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08596486210848618, std values: 0.7529681979687609, min values: -2.525881048269423, max values: 3.082096909284949, median values: -0.1019464910654516, and quantile values: 0.25 -0.603448\n0.50 -0.101946\n0.75 0.379513\nName: 3407, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18571247468473953, std values: 0.8418507105667888, min values: -3.074005993202373, max values: 3.528773265847577, median values: 0.138329231571711, and quantile values: 0.25 -0.352363\n0.50 0.138329\n0.75 0.748127\nName: 3408, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.032906388431318136, std values: 0.9769506734890354, min values: -2.8680719719444903, max values: 3.721862465295849, median values: 0.0592627390944245, and quantile values: 0.25 -0.665748\n0.50 0.059263\n0.75 0.720932\nName: 3409, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5057596468697096, std values: 0.8830494143305192, min values: -2.1502995050841665, max values: 5.0, median values: -0.6604767495267901, and quantile values: 0.25 -1.199178\n0.50 -0.660477\n0.75 0.057274\nName: 3410, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09059305014220084, std values: 1.2834453024925432, min values: -3.21990804472754, max values: 5.0, median values: 0.0518797896150332, and quantile values: 0.25 -0.866087\n0.50 0.051880\n0.75 0.933425\nName: 3411, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05550394199420649, std values: 1.0679615915860563, min values: -2.7542003929097176, max values: 5.0, median values: 0.223006405671547, and quantile values: 0.25 -0.643081\n0.50 0.223006\n0.75 0.817997\nName: 3412, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23241802138089637, std values: 0.774048249406649, min values: -2.044138536277291, max values: 2.9797100147087403, median values: -0.1970727598629048, and quantile values: 0.25 -0.797917\n0.50 -0.197073\n0.75 0.304863\nName: 3413, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2184242260115241, std values: 1.4109651255631552, min values: -2.8467638118011016, max values: 5.0, median values: 0.0439270320269196, and quantile values: 0.25 -0.854543\n0.50 0.043927\n0.75 1.469992\nName: 3414, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.514171885054177, std values: 1.1076714482007222, min values: -2.558791007225312, max values: 4.243835016543704, median values: 0.5262973723468738, and quantile values: 0.25 -0.288603\n0.50 0.526297\n0.75 1.424445\nName: 3415, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6785995291250095, std values: 0.9056260697624879, min values: -2.5501488616953263, max values: 3.2696814875916886, median values: 0.786885520220749, and quantile values: 0.25 0.057842\n0.50 0.786886\n0.75 1.388389\nName: 3416, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09023748539043258, std values: 0.7365728100708215, min values: -2.037986255847039, max values: 4.0, median values: 0.0816068554838012, and quantile values: 0.25 -0.399188\n0.50 0.081607\n0.75 0.548154\nName: 3417, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37010030038510094, std values: 0.8515018781400981, min values: -2.157019117459074, max values: 3.0533207538164056, median values: -0.5141583458130612, and quantile values: 0.25 -1.030455\n0.50 -0.514158\n0.75 0.237114\nName: 3418, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6838904855479776, std values: 1.0562886772794877, min values: -2.5953860446419177, max values: 3.336438412828754, median values: 0.8719017320440198, and quantile values: 0.25 0.037942\n0.50 0.871902\n0.75 1.460038\nName: 3419, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.030560228340623524, std values: 0.9290053763837575, min values: -2.3051489257282016, max values: 5.0, median values: -0.1137376384314598, and quantile values: 0.25 -0.690975\n0.50 -0.113738\n0.75 0.599918\nName: 3420, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14324549573565368, std values: 0.9255546695454547, min values: -2.620939317041317, max values: 2.8730699769514567, median values: 0.215217316582908, and quantile values: 0.25 -0.586830\n0.50 0.215217\n0.75 0.822197\nName: 3421, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24373921979095758, std values: 0.8171321249008946, min values: -2.267175988438518, max values: 5.0, median values: 0.2555373961002763, and quantile values: 0.25 -0.258432\n0.50 0.255537\n0.75 0.747705\nName: 3422, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7087494415356985, std values: 0.952528780275919, min values: -2.5832619696830608, max values: 6.0, median values: -0.8985620898784998, and quantile values: 0.25 -1.492140\n0.50 -0.898562\n0.75 -0.131826\nName: 3423, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27878607791030063, std values: 0.9915698500173916, min values: -2.5682675825126706, max values: 5.0, median values: 0.390067238159382, and quantile values: 0.25 -0.345908\n0.50 0.390067\n0.75 0.984827\nName: 3424, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3947506633495913, std values: 0.9050683081811789, min values: -2.149743899676465, max values: 3.5908526919299577, median values: 0.3112452958846178, and quantile values: 0.25 -0.274935\n0.50 0.311245\n0.75 1.037757\nName: 3425, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6038067779425506, std values: 1.0100029221681017, min values: -3.103622965243163, max values: 3.0046625681201315, median values: -0.699315172990677, and quantile values: 0.25 -1.458055\n0.50 -0.699315\n0.75 0.098115\nName: 3426, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3340260801730682, std values: 0.836935240854887, min values: -3.0390690173369013, max values: 4.243835016543704, median values: -0.3192913344684265, and quantile values: 0.25 -0.958882\n0.50 -0.319291\n0.75 0.213921\nName: 3427, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.006957646362439096, std values: 1.123246225096766, min values: -3.101800431129944, max values: 6.0, median values: 0.0400238992909123, and quantile values: 0.25 -0.637139\n0.50 0.040024\n0.75 0.772345\nName: 3428, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5237187242981294, std values: 0.9739646139336962, min values: -2.684072796644972, max values: 6.0, median values: -0.5404893679168112, and quantile values: 0.25 -1.191212\n0.50 -0.540489\n0.75 0.104893\nName: 3429, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1615146321811288, std values: 0.7940656164716687, min values: -2.0806681251243795, max values: 3.176672644814091, median values: -0.1784611874069846, and quantile values: 0.25 -0.729961\n0.50 -0.178461\n0.75 0.358112\nName: 3430, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1159269673406479, std values: 0.8346645841631973, min values: -2.9797100147087465, max values: 5.0, median values: 0.0262479789859774, and quantile values: 0.25 -0.423276\n0.50 0.026248\n0.75 0.661006\nName: 3431, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.029579230079616183, std values: 1.0146979740425661, min values: -2.5820330744015787, max values: 4.0, median values: 0.1583008142646876, and quantile values: 0.25 -0.633264\n0.50 0.158301\n0.75 0.737430\nName: 3432, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13803720895683896, std values: 0.80760763094703, min values: -1.9706972559200704, max values: 3.5021977227593246, median values: -0.1882914222042576, and quantile values: 0.25 -0.690165\n0.50 -0.188291\n0.75 0.335825\nName: 3433, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.9051702944862219, std values: 1.122077750810742, min values: -2.618746139350171, max values: 4.278004674434932, median values: 0.8929018995526996, and quantile values: 0.25 0.135508\n0.50 0.892902\n0.75 1.745331\nName: 3434, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18964933991344288, std values: 0.9689769984040844, min values: -2.7939007019027, max values: 3.627976272701048, median values: 0.2408758721443402, and quantile values: 0.25 -0.516045\n0.50 0.240876\n0.75 0.970420\nName: 3435, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0982726152509448, std values: 0.9047516497048997, min values: -2.673124659932621, max values: 6.0, median values: -0.076793011642168, and quantile values: 0.25 -0.641140\n0.50 -0.076793\n0.75 0.475241\nName: 3436, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.48349255795451923, std values: 0.8165369615604204, min values: -2.5689076212724418, max values: 5.0, median values: -0.5001275364935297, and quantile values: 0.25 -1.094798\n0.50 -0.500128\n0.75 0.038983\nName: 3437, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04498120562098509, std values: 0.9125296277254352, min values: -2.8246479422601736, max values: 5.0, median values: 0.001039918383927, and quantile values: 0.25 -0.577777\n0.50 0.001040\n0.75 0.496791\nName: 3438, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17253221951196424, std values: 0.8208680953192881, min values: -2.73836943861057, max values: 3.670892362631932, median values: 0.1520335687357696, and quantile values: 0.25 -0.332534\n0.50 0.152034\n0.75 0.665150\nName: 3439, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.7701836462680502, std values: 1.2713713217666283, min values: -3.05087304133376, max values: 5.0, median values: -2.10781213968935, and quantile values: 0.25 -2.371618\n0.50 -2.107812\n0.75 -1.849225\nName: 3440, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31712761038326204, std values: 1.0979257011447818, min values: -2.226625492124457, max values: 5.0, median values: 0.1689839394676531, and quantile values: 0.25 -0.471434\n0.50 0.168984\n0.75 1.065323\nName: 3441, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3289671611802291, std values: 0.8665852662597952, min values: -2.5825978442440407, max values: 6.0, median values: 0.3106383258605709, and quantile values: 0.25 -0.264056\n0.50 0.310638\n0.75 0.923351\nName: 3442, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.084222226984563, std values: 0.742992753467875, min values: -2.475778245535816, max values: 4.0, median values: -0.1460629724759088, and quantile values: 0.25 -0.576585\n0.50 -0.146063\n0.75 0.332360\nName: 3443, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.543539191006942, std values: 1.032738141021806, min values: -2.087432639025188, max values: 4.0, median values: 0.4452466641391399, and quantile values: 0.25 -0.193283\n0.50 0.445247\n0.75 1.271611\nName: 3444, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2805212925004066, std values: 0.8518821409184717, min values: -2.179853905073574, max values: 6.0, median values: -0.3872379975717004, and quantile values: 0.25 -0.878860\n0.50 -0.387238\n0.75 0.190891\nName: 3445, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1272818497312198, std values: 0.9977772323466539, min values: -2.4823451998031074, max values: 3.496479817235339, median values: -0.2308584874618686, and quantile values: 0.25 -0.872073\n0.50 -0.230858\n0.75 0.559906\nName: 3446, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6065230507016047, std values: 0.7660325279262066, min values: -2.300042081328127, max values: 4.0, median values: 0.6540528609126635, and quantile values: 0.25 0.139421\n0.50 0.654053\n0.75 1.120418\nName: 3447, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16241197542347222, std values: 0.7713426070522877, min values: -2.841647375415054, max values: 5.0, median values: 0.0947943978876561, and quantile values: 0.25 -0.358607\n0.50 0.094794\n0.75 0.643726\nName: 3448, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20925379688644175, std values: 0.7943873268451942, min values: -2.5046447434119337, max values: 4.0, median values: -0.268904997764643, and quantile values: 0.25 -0.739882\n0.50 -0.268905\n0.75 0.259751\nName: 3449, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2174993074966387, std values: 0.7733987724945549, min values: -2.6404955031131814, max values: 6.0, median values: 0.2042099849307254, and quantile values: 0.25 -0.256277\n0.50 0.204210\n0.75 0.712245\nName: 3450, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14465674466062559, std values: 0.8754608095830881, min values: -2.6466193392086392, max values: 4.0, median values: -0.0892355057588111, and quantile values: 0.25 -0.709799\n0.50 -0.089236\n0.75 0.393014\nName: 3451, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2027073130749042, std values: 1.0185600243990638, min values: -2.944950884974346, max values: 3.155379154255993, median values: 0.2879459063838724, and quantile values: 0.25 -0.452554\n0.50 0.287946\n0.75 0.954139\nName: 3452, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3220622216822126, std values: 0.804706812544334, min values: -2.090799501270592, max values: 3.3014869995452325, median values: 0.2537452475212086, and quantile values: 0.25 -0.212140\n0.50 0.253745\n0.75 0.823511\nName: 3453, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08973946376647886, std values: 1.0109636311774233, min values: -2.6466193392086392, max values: 4.0, median values: 0.2896954257485105, and quantile values: 0.25 -0.536463\n0.50 0.289695\n0.75 0.792592\nName: 3454, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07983163615192326, std values: 0.8233772066098121, min values: -2.10832026762241, max values: 4.0, median values: 0.056871784968483, and quantile values: 0.25 -0.457811\n0.50 0.056872\n0.75 0.594569\nName: 3455, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.030141853911319728, std values: 0.7995612170421376, min values: -2.048198631046896, max values: 3.1175233493066874, median values: 0.0377378143160385, and quantile values: 0.25 -0.509669\n0.50 0.037738\n0.75 0.499649\nName: 3456, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07548489745044272, std values: 0.8288216733424928, min values: -2.087432639025188, max values: 4.0, median values: -0.1209439346320047, and quantile values: 0.25 -0.631374\n0.50 -0.120944\n0.75 0.441904\nName: 3457, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2907538037445265, std values: 0.775876155836581, min values: -2.226424194672579, max values: 4.0, median values: 0.3571728284877287, and quantile values: 0.25 -0.250083\n0.50 0.357173\n0.75 0.813810\nName: 3458, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20803479338090017, std values: 0.9367579279772944, min values: -3.101800431129944, max values: 6.0, median values: -0.2697627593230354, and quantile values: 0.25 -0.885566\n0.50 -0.269763\n0.75 0.426211\nName: 3459, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2951435486097623, std values: 1.0393763953024078, min values: -2.933035609461076, max values: 5.0, median values: -0.3111585788656731, and quantile values: 0.25 -1.007575\n0.50 -0.311159\n0.75 0.460258\nName: 3460, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12500246559184966, std values: 0.8281623552365008, min values: -2.128045234184984, max values: 5.0, median values: -0.2349897926879287, and quantile values: 0.25 -0.699009\n0.50 -0.234990\n0.75 0.417170\nName: 3461, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7465737910046868, std values: 1.1124671794925158, min values: -2.580492024304656, max values: 3.721862465295849, median values: 0.8228152693878701, and quantile values: 0.25 -0.030611\n0.50 0.822815\n0.75 1.568778\nName: 3462, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05250653926340725, std values: 0.7786752181146829, min values: -1.929956930703716, max values: 4.0, median values: -0.0043723972579395, and quantile values: 0.25 -0.430214\n0.50 -0.004372\n0.75 0.523273\nName: 3463, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09507268169434616, std values: 1.117595209602538, min values: -2.212717022499921, max values: 3.3337116327022187, median values: -0.0183146670051134, and quantile values: 0.25 -0.818573\n0.50 -0.018315\n0.75 1.011982\nName: 3464, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3657767854511411, std values: 0.9268208544345804, min values: -2.8164291268114208, max values: 2.723053464579849, median values: -0.2822106815794621, and quantile values: 0.25 -1.033030\n0.50 -0.282211\n0.75 0.327794\nName: 3465, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14351061578514518, std values: 0.8213336849334681, min values: -2.096272675358738, max values: 2.975729140892597, median values: -0.2392384662439479, and quantile values: 0.25 -0.778420\n0.50 -0.239238\n0.75 0.413177\nName: 3466, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22164212280607792, std values: 0.8499419805537923, min values: -2.39180940730784, max values: 4.0, median values: -0.342358838048015, and quantile values: 0.25 -0.829078\n0.50 -0.342359\n0.75 0.340549\nName: 3467, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04201700989775226, std values: 0.8807540893930591, min values: -2.3922473154067863, max values: 5.0, median values: -0.0754419364726974, and quantile values: 0.25 -0.620406\n0.50 -0.075442\n0.75 0.628352\nName: 3468, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13958826012050976, std values: 0.9973202477837735, min values: -2.0898718573687374, max values: 3.047545592545638, median values: -0.2061251801468085, and quantile values: 0.25 -0.966674\n0.50 -0.206125\n0.75 0.528973\nName: 3469, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03470425748181879, std values: 0.796715604995591, min values: -2.0362317154895964, max values: 4.0, median values: -0.000578325606477, and quantile values: 0.25 -0.474553\n0.50 -0.000578\n0.75 0.490725\nName: 3470, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.066400340673014, std values: 1.0156339450442116, min values: -2.955641696055872, max values: 3.0362913622068968, median values: -1.333832479064637, and quantile values: 0.25 -1.797276\n0.50 -1.333832\n0.75 -0.382402\nName: 3471, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0758356121142917, std values: 0.8027780733272176, min values: -2.072108449798908, max values: 3.224152805256112, median values: 0.0872272701866448, and quantile values: 0.25 -0.505145\n0.50 0.087227\n0.75 0.627714\nName: 3472, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3033188207263053, std values: 0.8778873035167728, min values: -2.001720245466568, max values: 5.0, median values: 0.2563341697590731, and quantile values: 0.25 -0.290386\n0.50 0.256334\n0.75 0.871867\nName: 3473, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4966237375895471, std values: 0.8674557428658695, min values: -2.7825548156447035, max values: 6.0, median values: 0.5506823589934567, and quantile values: 0.25 -0.031132\n0.50 0.550682\n0.75 1.049814\nName: 3474, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5867996646395083, std values: 1.0313999223269898, min values: -2.769191083399913, max values: 3.0, median values: -0.6107342589063606, and quantile values: 0.25 -1.217764\n0.50 -0.610734\n0.75 0.080847\nName: 3475, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05010025102917479, std values: 1.2356709302049056, min values: -2.815821936576896, max values: 3.3014869995452325, median values: 0.3503019162233474, and quantile values: 0.25 -0.646519\n0.50 0.350302\n0.75 0.912547\nName: 3476, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2784736080142149, std values: 1.0279609995105001, min values: -2.92272757463548, max values: 6.0, median values: -0.1750205292790738, and quantile values: 0.25 -0.806772\n0.50 -0.175021\n0.75 0.401806\nName: 3477, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44974195028764485, std values: 0.8890912593073006, min values: -2.299460330888208, max values: 4.0, median values: 0.4917648455991188, and quantile values: 0.25 -0.204484\n0.50 0.491765\n0.75 1.159228\nName: 3478, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.022996942851803034, std values: 0.8353621304042337, min values: -2.372995607737588, max values: 5.0, median values: -0.0571083549623777, and quantile values: 0.25 -0.578289\n0.50 -0.057108\n0.75 0.558553\nName: 3479, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10720521881267638, std values: 0.8901108297411101, min values: -2.860922438481449, max values: 3.4758930087721422, median values: -0.1610549789065268, and quantile values: 0.25 -0.689118\n0.50 -0.161055\n0.75 0.438147\nName: 3480, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24075890863168337, std values: 0.8261877802556699, min values: -2.5682675825126706, max values: 5.0, median values: -0.3235852575056338, and quantile values: 0.25 -0.846970\n0.50 -0.323585\n0.75 0.291125\nName: 3481, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16036856323486315, std values: 0.8237433382391657, min values: -2.275531026921315, max values: 6.0, median values: 0.1949391784904741, and quantile values: 0.25 -0.467265\n0.50 0.194939\n0.75 0.798184\nName: 3482, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2491879251480892, std values: 0.8379908236261091, min values: -2.789830374413015, max values: 3.017846660960028, median values: -0.3472879001347207, and quantile values: 0.25 -0.881822\n0.50 -0.347288\n0.75 0.286049\nName: 3483, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.010541462718412664, std values: 0.9274835435302148, min values: -2.27710446206836, max values: 3.281452258958016, median values: -0.0061922797429396, and quantile values: 0.25 -0.702484\n0.50 -0.006192\n0.75 0.762081\nName: 3484, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11907902402002597, std values: 0.8067387440162623, min values: -2.264034258932616, max values: 3.0, median values: 0.1700149275097474, and quantile values: 0.25 -0.458741\n0.50 0.170015\n0.75 0.675597\nName: 3485, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11612690976615972, std values: 0.9630845485022514, min values: -2.876502173242568, max values: 3.141939528112806, median values: -0.1862956225328824, and quantile values: 0.25 -0.749002\n0.50 -0.186296\n0.75 0.498926\nName: 3486, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08727807124671982, std values: 0.806627802938188, min values: -2.0683523803658423, max values: 3.528773265847577, median values: 0.0939196070132363, and quantile values: 0.25 -0.408162\n0.50 0.093920\n0.75 0.565778\nName: 3487, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21609767863086995, std values: 0.8814742556609695, min values: -2.783691185534105, max values: 2.731414701688915, median values: -0.3464846961770725, and quantile values: 0.25 -0.889568\n0.50 -0.346485\n0.75 0.391776\nName: 3488, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3226204245320764, std values: 0.7925512753866274, min values: -2.87684958111886, max values: 3.390469008396469, median values: -0.2956158987582741, and quantile values: 0.25 -0.858419\n0.50 -0.295616\n0.75 0.151651\nName: 3489, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.772253704334286, std values: 0.9619531202101606, min values: -2.3922473154067863, max values: 5.0, median values: 0.7417662692290498, and quantile values: 0.25 0.141140\n0.50 0.741766\n0.75 1.409247\nName: 3490, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.014124058175416992, std values: 0.9386996023552567, min values: -2.7871422803648627, max values: 3.076680642207697, median values: -0.0666945493329984, and quantile values: 0.25 -0.673763\n0.50 -0.066695\n0.75 0.649347\nName: 3491, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38238740500499985, std values: 1.0538447394128005, min values: -2.6412681606926487, max values: 3.2701555622463814, median values: 0.534008400695275, and quantile values: 0.25 -0.180896\n0.50 0.534008\n0.75 1.142246\nName: 3492, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19554899487360267, std values: 0.8837160513148656, min values: -2.0148114180740584, max values: 6.0, median values: -0.3156258891374397, and quantile values: 0.25 -0.833837\n0.50 -0.315626\n0.75 0.369491\nName: 3493, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19649278676120988, std values: 0.8290703468791559, min values: -2.662750916816848, max values: 5.0, median values: -0.272435349017818, and quantile values: 0.25 -0.844332\n0.50 -0.272435\n0.75 0.371592\nName: 3494, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5680600669259244, std values: 0.9305821782878595, min values: -2.5399045531878324, max values: 4.0, median values: -0.6797542572844704, and quantile values: 0.25 -1.335953\n0.50 -0.679754\n0.75 0.060494\nName: 3495, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31448665768365425, std values: 0.8479478493308572, min values: -2.7648443048846945, max values: 3.281452258958016, median values: -0.3202498059039538, and quantile values: 0.25 -0.956510\n0.50 -0.320250\n0.75 0.247572\nName: 3496, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36578027842043, std values: 0.8976361014509739, min values: -2.6603025395856053, max values: 5.0, median values: 0.4798503991376671, and quantile values: 0.25 -0.142946\n0.50 0.479850\n0.75 1.001508\nName: 3497, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04215246806165331, std values: 0.8764568604749389, min values: -2.1139459297101, max values: 3.260388056018088, median values: 0.0377929322333846, and quantile values: 0.25 -0.646403\n0.50 0.037793\n0.75 0.742455\nName: 3498, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13100969339249485, std values: 0.9235619903287748, min values: -2.7024513197886706, max values: 3.0, median values: 0.1079707471170072, and quantile values: 0.25 -0.565519\n0.50 0.107971\n0.75 0.903978\nName: 3499, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04115178677649134, std values: 0.8376717743250724, min values: -1.995451107828815, max values: 2.6059186776136825, median values: 0.0949880429430788, and quantile values: 0.25 -0.580805\n0.50 0.094988\n0.75 0.691575\nName: 3500, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6651204997189618, std values: 0.7555513381951754, min values: -1.996293367561078, max values: 3.281452258958016, median values: 0.7123517615646154, and quantile values: 0.25 0.218657\n0.50 0.712352\n0.75 1.157859\nName: 3501, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1374132838548123, std values: 0.8668856423879874, min values: -2.0595468593293136, max values: 6.0, median values: 0.0948773881900096, and quantile values: 0.25 -0.435870\n0.50 0.094877\n0.75 0.632652\nName: 3502, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14775120444026632, std values: 0.8845336084632608, min values: -2.040629887786797, max values: 3.3337116327022187, median values: -0.2536692661689004, and quantile values: 0.25 -0.837977\n0.50 -0.253669\n0.75 0.447468\nName: 3503, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34968561822485483, std values: 1.0210497012965432, min values: -2.8563982925340614, max values: 4.0, median values: -0.3986433572537928, and quantile values: 0.25 -1.191144\n0.50 -0.398643\n0.75 0.379683\nName: 3504, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3391751914671204, std values: 0.9282866172974692, min values: -2.2837882496430213, max values: 4.0, median values: 0.4528677325372681, and quantile values: 0.25 -0.296795\n0.50 0.452868\n0.75 0.972579\nName: 3505, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5443167245264103, std values: 1.2337544516052068, min values: -2.6800544037614658, max values: 4.0, median values: -0.5366052443582812, and quantile values: 0.25 -1.735811\n0.50 -0.536605\n0.75 0.378566\nName: 3506, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3536712567085447, std values: 0.8226562480605684, min values: -1.939479298457672, max values: 6.0, median values: 0.293986744253509, and quantile values: 0.25 -0.190843\n0.50 0.293987\n0.75 0.885322\nName: 3507, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13745656360982458, std values: 0.7459618403757049, min values: -2.1730882470106176, max values: 6.0, median values: 0.1974939671667047, and quantile values: 0.25 -0.331465\n0.50 0.197494\n0.75 0.629795\nName: 3508, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03762628847943713, std values: 0.9413725580109092, min values: -2.801183634509044, max values: 5.0, median values: -0.0035451830960198, and quantile values: 0.25 -0.688666\n0.50 -0.003545\n0.75 0.534963\nName: 3509, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1438246040616806, std values: 0.8710051280983104, min values: -2.372995607737588, max values: 5.0, median values: 0.1454506374618418, and quantile values: 0.25 -0.455278\n0.50 0.145451\n0.75 0.702030\nName: 3510, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17499680729476963, std values: 0.7700673749071688, min values: -2.537573835824454, max values: 6.0, median values: 0.1527747968632186, and quantile values: 0.25 -0.289400\n0.50 0.152775\n0.75 0.642675\nName: 3511, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6741483358244698, std values: 1.040377701002376, min values: -2.93129584560762, max values: 6.0, median values: -0.7145741222665514, and quantile values: 0.25 -1.505091\n0.50 -0.714574\n0.75 0.064993\nName: 3512, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19580970530601727, std values: 0.9068052197514583, min values: -2.046407181704428, max values: 5.0, median values: 0.1364148512377872, and quantile values: 0.25 -0.516360\n0.50 0.136415\n0.75 0.854286\nName: 3513, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05530252110796425, std values: 0.9509304558687126, min values: -3.530441124712342, max values: 3.867701659180865, median values: -0.1348267615021605, and quantile values: 0.25 -0.691319\n0.50 -0.134827\n0.75 0.475436\nName: 3514, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.109667873813037, std values: 0.9058330393686381, min values: -2.8282523283494294, max values: 4.0, median values: -0.2182058437323393, and quantile values: 0.25 -0.762098\n0.50 -0.218206\n0.75 0.519644\nName: 3515, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02357324362583179, std values: 0.9429106559649549, min values: -2.687115288423959, max values: 5.0, median values: 0.0289478604649374, and quantile values: 0.25 -0.645762\n0.50 0.028948\n0.75 0.609812\nName: 3516, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.061679654368689905, std values: 0.857458342621088, min values: -2.623568901859613, max values: 4.0, median values: -0.1269978650753928, and quantile values: 0.25 -0.573017\n0.50 -0.126998\n0.75 0.451794\nName: 3517, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18511893424590206, std values: 0.9425417950721541, min values: -2.556631690482005, max values: 3.5908526919299577, median values: -0.3149184730395089, and quantile values: 0.25 -0.947000\n0.50 -0.314918\n0.75 0.459218\nName: 3518, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02170000369202859, std values: 0.9237331690016016, min values: -3.00972886875607, max values: 3.415255285860171, median values: 0.1377508779091567, and quantile values: 0.25 -0.581426\n0.50 0.137751\n0.75 0.687512\nName: 3519, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20752343044002128, std values: 0.9547583376736793, min values: -2.673124659932621, max values: 6.0, median values: 0.2262543492126345, and quantile values: 0.25 -0.333089\n0.50 0.226254\n0.75 0.806162\nName: 3520, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.026950390833777177, std values: 1.550579193899983, min values: -2.887007053971579, max values: 4.278004674434932, median values: -0.074038181221812, and quantile values: 0.25 -1.026724\n0.50 -0.074038\n0.75 1.010760\nName: 3521, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36182083440650104, std values: 0.9604257872364849, min values: -2.198297282676139, max values: 4.243835016543704, median values: 0.4003136561625749, and quantile values: 0.25 -0.380076\n0.50 0.400314\n0.75 1.148670\nName: 3522, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0063011766245607915, std values: 0.8324655870542562, min values: -2.226424194672579, max values: 4.0, median values: -0.0700389878532255, and quantile values: 0.25 -0.568107\n0.50 -0.070039\n0.75 0.544701\nName: 3523, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07932566653830425, std values: 0.8649781655215084, min values: -2.087919489660226, max values: 4.0, median values: -0.1568715553848405, and quantile values: 0.25 -0.688097\n0.50 -0.156872\n0.75 0.505065\nName: 3524, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4563097896707864, std values: 0.9989629315499852, min values: -2.475778245535816, max values: 3.397048482165858, median values: -0.5672006080693839, and quantile values: 0.25 -1.278592\n0.50 -0.567201\n0.75 0.221165\nName: 3525, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3173203691044814, std values: 0.8554825129088829, min values: -2.099713839971814, max values: 5.0, median values: -0.4542048553684938, and quantile values: 0.25 -0.949031\n0.50 -0.454205\n0.75 0.243456\nName: 3526, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4565714151422135, std values: 0.7747073808585165, min values: -2.605098146828148, max values: 6.0, median values: -0.5584828134415123, and quantile values: 0.25 -1.018136\n0.50 -0.558483\n0.75 -0.003222\nName: 3527, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3242686228106766, std values: 0.9745418837235168, min values: -2.662750916816848, max values: 5.0, median values: 0.283697127627415, and quantile values: 0.25 -0.353887\n0.50 0.283697\n0.75 0.917192\nName: 3528, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5318519009398454, std values: 1.0563990251928934, min values: -2.532780026986995, max values: 3.071284484560209, median values: -0.673107460881049, and quantile values: 0.25 -1.452972\n0.50 -0.673107\n0.75 0.236572\nName: 3529, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6154359363067203, std values: 0.8938352971974183, min values: -2.687115288423959, max values: 5.0, median values: 0.581034332319845, and quantile values: 0.25 -0.001955\n0.50 0.581034\n0.75 1.263604\nName: 3530, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17556090523724985, std values: 0.8493941439305087, min values: -2.589966702820638, max values: 6.0, median values: -0.280686140402589, and quantile values: 0.25 -0.761308\n0.50 -0.280686\n0.75 0.316308\nName: 3531, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0204600332881293, std values: 1.7470564892246883, min values: -2.9622221028070275, max values: 4.0, median values: -1.9234178184692643, and quantile values: 0.25 -2.270521\n0.50 -1.923418\n0.75 0.341795\nName: 3532, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32279998657722875, std values: 0.8018101425866861, min values: -2.2272703849889663, max values: 3.0148736195915853, median values: 0.2931711396976456, and quantile values: 0.25 -0.178125\n0.50 0.293171\n0.75 0.870382\nName: 3533, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24783678987986252, std values: 0.9983827742478406, min values: -3.0148736195915964, max values: 3.1485882570365185, median values: -0.106475050916566, and quantile values: 0.25 -0.668700\n0.50 -0.106475\n0.75 0.352690\nName: 3534, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3034719797849045, std values: 0.8710547602219969, min values: -2.27710446206836, max values: 3.0, median values: -0.3682611308418864, and quantile values: 0.25 -0.991914\n0.50 -0.368261\n0.75 0.325155\nName: 3535, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.418356844106907, std values: 1.1094370385271402, min values: -2.8282523283494294, max values: 4.026668017837955, median values: 0.2999147185129819, and quantile values: 0.25 -0.426380\n0.50 0.299915\n0.75 1.177487\nName: 3536, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.043785144725899464, std values: 0.9744060597903765, min values: -2.5913217250832665, max values: 3.455472209455805, median values: 0.0101897221629724, and quantile values: 0.25 -0.650924\n0.50 0.010190\n0.75 0.669037\nName: 3537, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7223021084058415, std values: 1.1377406811292523, min values: -2.9797100147087465, max values: 5.0, median values: 0.6810169655815483, and quantile values: 0.25 -0.107472\n0.50 0.681017\n0.75 1.628785\nName: 3538, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07426895478741963, std values: 0.9210919047835654, min values: -2.497627580948261, max values: 3.630507857092792, median values: 0.2242734990329228, and quantile values: 0.25 -0.432753\n0.50 0.224273\n0.75 0.693419\nName: 3539, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38808266680747494, std values: 0.9905022299676955, min values: -3.074005993202373, max values: 3.247416277295021, median values: -0.3527657242531547, and quantile values: 0.25 -1.228295\n0.50 -0.352766\n0.75 0.363579\nName: 3540, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3233792039761359, std values: 0.9291864525482308, min values: -2.5039074859839925, max values: 4.0, median values: -0.3838775232358343, and quantile values: 0.25 -1.111037\n0.50 -0.383878\n0.75 0.338769\nName: 3541, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6289885873950225, std values: 0.8531101468887045, min values: -2.842989614395848, max values: 5.0, median values: -0.7226828525844542, and quantile values: 0.25 -1.217323\n0.50 -0.722683\n0.75 -0.153157\nName: 3542, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38318768410153076, std values: 0.9409382902440585, min values: -2.4823451998031074, max values: 3.20751086257212, median values: -0.4598181956274453, and quantile values: 0.25 -1.100670\n0.50 -0.459818\n0.75 0.269028\nName: 3543, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3451186553492854, std values: 0.8911028151376692, min values: -2.607565022042742, max values: 4.0, median values: -0.3670885583173631, and quantile values: 0.25 -0.948549\n0.50 -0.367089\n0.75 0.210597\nName: 3544, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6081938799092517, std values: 1.1404112064003424, min values: -3.21990804472754, max values: 5.0, median values: -0.4544491225420158, and quantile values: 0.25 -1.585203\n0.50 -0.454449\n0.75 0.169067\nName: 3545, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4472960902672229, std values: 1.1918161273691659, min values: -2.739804196611005, max values: 6.0, median values: -0.4138973916874793, and quantile values: 0.25 -1.454707\n0.50 -0.413897\n0.75 0.318310\nName: 3546, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2044180917803094, std values: 0.8509716775178368, min values: -2.748993280390358, max values: 3.8226908388056136, median values: -0.2456960671841342, and quantile values: 0.25 -0.776076\n0.50 -0.245696\n0.75 0.308674\nName: 3547, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0058633554065100285, std values: 0.7551943236228601, min values: -2.72346435408924, max values: 4.0, median values: -0.0561851291951585, and quantile values: 0.25 -0.499722\n0.50 -0.056185\n0.75 0.440083\nName: 3548, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6464620019394258, std values: 0.8155746531828199, min values: -2.981718296512785, max values: 5.0, median values: -0.7401355422208141, and quantile values: 0.25 -1.179427\n0.50 -0.740136\n0.75 -0.130493\nName: 3549, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24678009489001526, std values: 1.0844881922749094, min values: -3.3364384128287203, max values: 3.5427287984042666, median values: 0.2368147049634302, and quantile values: 0.25 -0.288907\n0.50 0.236815\n0.75 0.876439\nName: 3550, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2244441908892787, std values: 0.7612148990611661, min values: -2.898237445269881, max values: 5.0, median values: 0.2916765392302179, and quantile values: 0.25 -0.316918\n0.50 0.291677\n0.75 0.753406\nName: 3551, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3976786389632931, std values: 0.8298867340463815, min values: -1.9619416201814053, max values: 6.0, median values: 0.4439394595722496, and quantile values: 0.25 -0.138514\n0.50 0.443939\n0.75 0.927262\nName: 3552, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2742456768114093, std values: 0.9624250513822071, min values: -2.841647375415054, max values: 5.0, median values: -0.3056055980396213, and quantile values: 0.25 -1.011982\n0.50 -0.305606\n0.75 0.405441\nName: 3553, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3490229591659768, std values: 0.8468543004305107, min values: -2.049546544677791, max values: 4.026668017837955, median values: -0.3176884102208187, and quantile values: 0.25 -1.010800\n0.50 -0.317688\n0.75 0.253262\nName: 3554, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22383343002247547, std values: 0.999063166478592, min values: -2.8563982925340614, max values: 4.0, median values: -0.1382280897626508, and quantile values: 0.25 -0.793685\n0.50 -0.138228\n0.75 0.414026\nName: 3555, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32206858404899935, std values: 0.8420352999968882, min values: -2.558791007225312, max values: 3.258347009006034, median values: -0.3773217794288098, and quantile values: 0.25 -0.874937\n0.50 -0.377322\n0.75 0.191825\nName: 3556, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.013063376307808731, std values: 1.0140132433494315, min values: -2.93129584560762, max values: 6.0, median values: 0.1442675755407816, and quantile values: 0.25 -0.529408\n0.50 0.144268\n0.75 0.670105\nName: 3557, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12700582040887592, std values: 0.9630432782161266, min values: -2.801183634509044, max values: 5.0, median values: 0.2105410189214418, and quantile values: 0.25 -0.552719\n0.50 0.210541\n0.75 0.842248\nName: 3558, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.026720021480307075, std values: 0.8998892083710107, min values: -2.5293911731823453, max values: 3.670892362631932, median values: 0.0019852996792723, and quantile values: 0.25 -0.496293\n0.50 0.001985\n0.75 0.492325\nName: 3559, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4019867917288547, std values: 0.9070704562701324, min values: -2.0331762695652107, max values: 3.060952636712705, median values: 0.3383647323262501, and quantile values: 0.25 -0.291816\n0.50 0.338365\n0.75 1.049719\nName: 3560, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40833700229944425, std values: 0.8887428502930931, min values: -2.732564679617164, max values: 3.9905524164385566, median values: 0.4487340909850567, and quantile values: 0.25 -0.214558\n0.50 0.448734\n0.75 1.083771\nName: 3561, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18028990346896742, std values: 0.8863066431738427, min values: -2.57895707818966, max values: 6.0, median values: -0.25750116787004, and quantile values: 0.25 -0.756517\n0.50 -0.257501\n0.75 0.392479\nName: 3562, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2131080349604415, std values: 1.0091710601580595, min values: -2.684072796644972, max values: 6.0, median values: 0.3772710233613918, and quantile values: 0.25 -0.425797\n0.50 0.377271\n0.75 0.945535\nName: 3563, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15072650333884247, std values: 0.790707326919892, min values: -2.1227739687253626, max values: 4.243835016543704, median values: -0.1757726316689689, and quantile values: 0.25 -0.667578\n0.50 -0.175773\n0.75 0.268219\nName: 3564, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 1.0590686975462515, std values: 1.288757001007944, min values: -1.983819022108468, max values: 5.0, median values: 0.9600167142655912, and quantile values: 0.25 0.074352\n0.50 0.960017\n0.75 2.136604\nName: 3565, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16921692908199779, std values: 0.9975448954624063, min values: -2.279954026108595, max values: 3.867701659180865, median values: 0.2424332975340196, and quantile values: 0.25 -0.595048\n0.50 0.242433\n0.75 0.946224\nName: 3566, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19372395649962695, std values: 0.8285470912255558, min values: -2.1227739687253626, max values: 5.0, median values: -0.3085003893218944, and quantile values: 0.25 -0.771429\n0.50 -0.308500\n0.75 0.298926\nName: 3567, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19875831122726795, std values: 1.032009809669335, min values: -2.011631448118009, max values: 5.0, median values: 0.108173009238285, and quantile values: 0.25 -0.582796\n0.50 0.108173\n0.75 0.859813\nName: 3568, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09182128301855104, std values: 0.8922588244165411, min values: -2.5039074859839925, max values: 4.0, median values: -0.1496191767963356, and quantile values: 0.25 -0.781165\n0.50 -0.149619\n0.75 0.487311\nName: 3569, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13721236103279758, std values: 0.8570462557213575, min values: -2.0884068356849723, max values: 6.0, median values: -0.2055880376737971, and quantile values: 0.25 -0.713263\n0.50 -0.205588\n0.75 0.381615\nName: 3570, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33054328343953, std values: 0.9480977464315874, min values: -2.264034258932616, max values: 3.709787027503053, median values: 0.2562572908430796, and quantile values: 0.25 -0.404697\n0.50 0.256257\n0.75 1.014668\nName: 3571, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16040884505476843, std values: 0.8313919707690268, min values: -2.2065783767301927, max values: 6.0, median values: 0.0807522411744012, and quantile values: 0.25 -0.433521\n0.50 0.080752\n0.75 0.726227\nName: 3572, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08259660571626695, std values: 0.887499994722329, min values: -2.634919142586459, max values: 6.0, median values: -0.0212068605117378, and quantile values: 0.25 -0.626923\n0.50 -0.021207\n0.75 0.475282\nName: 3573, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15172052174048264, std values: 0.9139517014316578, min values: -1.967443887800321, max values: 6.0, median values: -0.2329759966052059, and quantile values: 0.25 -0.883896\n0.50 -0.232976\n0.75 0.491712\nName: 3574, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12847150957872755, std values: 1.127271347288944, min values: -2.5293911731823453, max values: 3.0, median values: -0.067633000289247, and quantile values: 0.25 -0.922628\n0.50 -0.067633\n0.75 0.762338\nName: 3575, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4074468444619001, std values: 0.9480435763165294, min values: -3.5186644300181262, max values: 3.455472209455805, median values: -0.5071332521227465, and quantile values: 0.25 -1.125435\n0.50 -0.507133\n0.75 0.221789\nName: 3576, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06644994055212104, std values: 0.8291366360156405, min values: -2.179853905073574, max values: 6.0, median values: -0.0465294886763935, and quantile values: 0.25 -0.519383\n0.50 -0.046529\n0.75 0.643081\nName: 3577, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6258690836047467, std values: 0.8303555991947812, min values: -2.73836943861057, max values: 3.0148736195915853, median values: -0.7831545397632634, and quantile values: 0.25 -1.263011\n0.50 -0.783155\n0.75 -0.090739\nName: 3578, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.036186271547053506, std values: 0.8977651537754643, min values: -2.046819028707187, max values: 3.0, median values: -0.013494672964992, and quantile values: 0.25 -0.650632\n0.50 -0.013495\n0.75 0.665541\nName: 3579, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20412342297826896, std values: 0.7994494544540375, min values: -2.149743899676465, max values: 6.0, median values: -0.3185669311622736, and quantile values: 0.25 -0.784137\n0.50 -0.318567\n0.75 0.286049\nName: 3580, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3339625983914584, std values: 1.0780366841444842, min values: -2.2915911556076085, max values: 3.241738645014612, median values: -0.4081109577799594, and quantile values: 0.25 -1.277575\n0.50 -0.408111\n0.75 0.485048\nName: 3581, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08478209336720313, std values: 0.918776592877452, min values: -2.947062251106049, max values: 3.415255285860171, median values: -0.1948878135244945, and quantile values: 0.25 -0.679051\n0.50 -0.194888\n0.75 0.490805\nName: 3582, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5288965700699656, std values: 0.8853019895077355, min values: -2.7024513197886706, max values: 3.8226908388056136, median values: 0.5531869564869861, and quantile values: 0.25 -0.051852\n0.50 0.553187\n0.75 1.074503\nName: 3583, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32392032798771014, std values: 1.070899210795231, min values: -2.486556664247513, max values: 3.760287110694155, median values: 0.4490814727199483, and quantile values: 0.25 -0.398375\n0.50 0.449081\n0.75 1.073109\nName: 3584, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38776270076366803, std values: 0.8842516979742124, min values: -2.3051489257282016, max values: 5.0, median values: 0.4597919258785544, and quantile values: 0.25 -0.214461\n0.50 0.459792\n0.75 0.982973\nName: 3585, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06215377303943002, std values: 1.0057095970251595, min values: -3.2266531185902174, max values: 2.6530516057920366, median values: 0.0131884358033365, and quantile values: 0.25 -0.767393\n0.50 0.013188\n0.75 0.738299\nName: 3586, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.057905709971996344, std values: 0.9423969804785892, min values: -2.7648443048846945, max values: 3.258347009006034, median values: -0.109837282978067, and quantile values: 0.25 -0.810209\n0.50 -0.109837\n0.75 0.611763\nName: 3587, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5643726365566027, std values: 1.1199311647474126, min values: -2.5859127503381347, max values: 3.667275230673496, median values: 0.7096214497437403, and quantile values: 0.25 -0.149153\n0.50 0.709621\n0.75 1.328387\nName: 3588, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01917323167830667, std values: 1.057841074453945, min values: -2.93129584560762, max values: 6.0, median values: 0.099774992586195, and quantile values: 0.25 -0.511771\n0.50 0.099775\n0.75 0.666903\nName: 3589, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.046049617927003565, std values: 0.9187609478978201, min values: -2.12073996675014, max values: 3.32433157891547, median values: -0.1492845777414658, and quantile values: 0.25 -0.782154\n0.50 -0.149285\n0.75 0.600445\nName: 3590, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16193063688693396, std values: 0.889763701572507, min values: -2.560041333834972, max values: 3.760287110694155, median values: -0.2928261738877528, and quantile values: 0.25 -0.824853\n0.50 -0.292826\n0.75 0.417092\nName: 3591, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3546179101985846, std values: 1.0546475585588841, min values: -2.073997500902293, max values: 4.0, median values: 0.266764321638861, and quantile values: 0.25 -0.492752\n0.50 0.266764\n0.75 1.117280\nName: 3592, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7019089215181765, std values: 1.3818560105431634, min values: -2.93129584560762, max values: 6.0, median values: 0.8060018983565933, and quantile values: 0.25 -0.238152\n0.50 0.806002\n0.75 1.827885\nName: 3593, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3185089762226799, std values: 0.7900344948770036, min values: -1.97877142617342, max values: 5.0, median values: 0.3833339039778045, and quantile values: 0.25 -0.192863\n0.50 0.383334\n0.75 0.841425\nName: 3594, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7513909786678268, std values: 0.8028463842449446, min values: -2.5759052915632985, max values: 3.224152805256112, median values: -0.8791485270862047, and quantile values: 0.25 -1.318402\n0.50 -0.879149\n0.75 -0.283908\nName: 3595, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39126338127415744, std values: 0.839710711928708, min values: -2.8531572940820533, max values: 6.0, median values: -0.4371846946742104, and quantile values: 0.25 -0.924303\n0.50 -0.437185\n0.75 0.109528\nName: 3596, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5639892946807513, std values: 0.7969201588541057, min values: -2.45229857681487, max values: 3.082096909284949, median values: 0.6429989477436466, and quantile values: 0.25 0.028507\n0.50 0.642999\n0.75 1.112353\nName: 3597, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31291824637349214, std values: 1.0212170293436353, min values: -2.5695487141177, max values: 4.0, median values: 0.4155474924345309, and quantile values: 0.25 -0.290607\n0.50 0.415547\n0.75 0.996253\nName: 3598, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06897740097945058, std values: 0.9329573095375049, min values: -2.2889362156285724, max values: 3.627976272701048, median values: -0.1484293290690781, and quantile values: 0.25 -0.768910\n0.50 -0.148429\n0.75 0.545724\nName: 3599, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7603666399678326, std values: 1.0118302350056387, min values: -2.8121055320525654, max values: 5.0, median values: 0.8504049626101299, and quantile values: 0.25 0.031203\n0.50 0.850405\n0.75 1.537012\nName: 3600, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.3328418828993667, std values: 1.7117138717901417, min values: -3.045947208515832, max values: 6.0, median values: -2.0340473177314244, and quantile values: 0.25 -2.367376\n0.50 -2.034047\n0.75 -1.651001\nName: 3601, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2689328590924873, std values: 0.8211763747642401, min values: -2.1269862447630747, max values: 3.3760121766849016, median values: -0.3345380788488434, and quantile values: 0.25 -0.853693\n0.50 -0.334538\n0.75 0.259010\nName: 3602, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5782869387481243, std values: 0.9556969130157447, min values: -1.983136090150361, max values: 5.0, median values: 0.6586553583866436, and quantile values: 0.25 -0.051383\n0.50 0.658655\n0.75 1.194847\nName: 3603, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02317606004951585, std values: 0.8174237568314493, min values: -2.1217267615601973, max values: 5.0, median values: -0.0957714090194295, and quantile values: 0.25 -0.607585\n0.50 -0.095771\n0.75 0.513216\nName: 3604, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34812608390050787, std values: 0.767733938125022, min values: -2.245752867605861, max values: 3.4566816047670264, median values: 0.3962591424373066, and quantile values: 0.25 -0.175915\n0.50 0.396259\n0.75 0.861956\nName: 3605, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12793998573103194, std values: 0.6768417620473367, min values: -2.27710446206836, max values: 3.0, median values: 0.1585880107694274, and quantile values: 0.25 -0.320828\n0.50 0.158588\n0.75 0.567372\nName: 3606, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3076008703564527, std values: 1.0317395855550109, min values: -2.241031364324176, max values: 5.0, median values: 0.2448817261135666, and quantile values: 0.25 -0.370402\n0.50 0.244882\n0.75 0.999673\nName: 3607, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5378273916092979, std values: 1.254752818621674, min values: -2.54650264206338, max values: 3.3337116327022187, median values: 0.4918715374334494, and quantile values: 0.25 -0.470801\n0.50 0.491872\n0.75 1.610672\nName: 3608, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40575226733205805, std values: 0.8533023809685724, min values: -2.1371444472445806, max values: 3.670892362631932, median values: 0.487682774042163, and quantile values: 0.25 -0.155023\n0.50 0.487683\n0.75 0.989366\nName: 3609, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8157918265857778, std values: 0.9692110953927642, min values: -2.9472833478224456, max values: 6.0, median values: -0.9918513369057284, and quantile values: 0.25 -1.468661\n0.50 -0.991851\n0.75 -0.327155\nName: 3610, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22385110964950045, std values: 0.9070932660552797, min values: -3.103622965243163, max values: 3.022367128892113, median values: 0.1292984324389469, and quantile values: 0.25 -0.409760\n0.50 0.129298\n0.75 0.842838\nName: 3611, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23021232423527715, std values: 0.7358456708647162, min values: -2.6412681606926487, max values: 3.496479817235339, median values: -0.2466705338363068, and quantile values: 0.25 -0.741033\n0.50 -0.246671\n0.75 0.206125\nName: 3612, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19723756181207977, std values: 0.8845524625903852, min values: -2.558791007225312, max values: 3.0, median values: -0.0981145254348309, and quantile values: 0.25 -0.735797\n0.50 -0.098115\n0.75 0.375191\nName: 3613, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08186792233027411, std values: 0.9931892615921302, min values: -2.419133598913117, max values: 3.32433157891547, median values: 0.0477125266421034, and quantile values: 0.25 -0.694430\n0.50 0.047713\n0.75 0.774959\nName: 3614, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40525739825887785, std values: 1.0189677755628068, min values: -2.510124273981921, max values: 3.760287110694155, median values: -0.4589729784676136, and quantile values: 0.25 -1.121836\n0.50 -0.458973\n0.75 0.255566\nName: 3615, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34291770570537955, std values: 0.9569185655019814, min values: -2.5293911731823453, max values: 3.397048482165858, median values: -0.4102992195636701, and quantile values: 0.25 -1.127486\n0.50 -0.410299\n0.75 0.311951\nName: 3616, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6425820516461624, std values: 1.5911138998871, min values: -3.5186644300181262, max values: 4.243835016543704, median values: -1.6333433622041882, and quantile values: 0.25 -1.884512\n0.50 -1.633343\n0.75 0.812166\nName: 3617, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1273563340284874, std values: 0.7826228753566613, min values: -1.9910689947648448, max values: 5.0, median values: -0.2332632156423205, and quantile values: 0.25 -0.679885\n0.50 -0.233263\n0.75 0.365492\nName: 3618, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4555798216061017, std values: 0.9572830439977081, min values: -2.623568901859613, max values: 4.0, median values: -0.4517636706205307, and quantile values: 0.25 -1.056816\n0.50 -0.451764\n0.75 0.131097\nName: 3619, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20986625934540093, std values: 0.912940055175771, min values: -3.228456465836797, max values: 2.8404846196714506, median values: -0.1490419327249621, and quantile values: 0.25 -0.852225\n0.50 -0.149042\n0.75 0.424659\nName: 3620, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29533884291160406, std values: 0.9092210716798733, min values: -2.226424194672579, max values: 4.0, median values: 0.2497904066826162, and quantile values: 0.25 -0.298062\n0.50 0.249790\n0.75 0.838799\nName: 3621, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23631199712666026, std values: 0.7827045923420763, min values: -2.5689076212724418, max values: 5.0, median values: 0.2980043465660139, and quantile values: 0.25 -0.284701\n0.50 0.298004\n0.75 0.784054\nName: 3622, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17210092251995193, std values: 0.8015405208732276, min values: -2.0773212586940626, max values: 4.0, median values: -0.2828502003526603, and quantile values: 0.25 -0.722867\n0.50 -0.282850\n0.75 0.312671\nName: 3623, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.016444908500485942, std values: 1.0589184760173922, min values: -2.688157591415518, max values: 4.0, median values: 0.0849783280547736, and quantile values: 0.25 -0.644877\n0.50 0.084978\n0.75 0.771652\nName: 3624, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.020892417162931467, std values: 0.8411922615171061, min values: -2.560041333834972, max values: 3.306454397423372, median values: 0.038316558198281, and quantile values: 0.25 -0.599540\n0.50 0.038317\n0.75 0.607783\nName: 3625, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8415963883511641, std values: 0.9793201306426306, min values: -2.525362520654854, max values: 5.0, median values: 1.0040474380107995, and quantile values: 0.25 0.149682\n0.50 1.004047\n0.75 1.616094\nName: 3626, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.036071029846931564, std values: 0.7676020741034023, min values: -2.037986255847039, max values: 6.0, median values: -0.0692616305684045, and quantile values: 0.25 -0.540808\n0.50 -0.069262\n0.75 0.414438\nName: 3627, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3084579571723399, std values: 0.8437356910864424, min values: -2.2272703849889663, max values: 3.3760121766849016, median values: -0.358552768229362, and quantile values: 0.25 -0.958272\n0.50 -0.358553\n0.75 0.248146\nName: 3628, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09576220476746442, std values: 1.054346522557269, min values: -2.8467638118011016, max values: 5.0, median values: 0.2376898336851952, and quantile values: 0.25 -0.362945\n0.50 0.237690\n0.75 0.728560\nName: 3629, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09601890364763471, std values: 0.8522250610869702, min values: -2.2161166709808824, max values: 6.0, median values: -0.2332349169070635, and quantile values: 0.25 -0.669830\n0.50 -0.233235\n0.75 0.426625\nName: 3630, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06917756899156081, std values: 0.772502663653713, min values: -2.12073996675014, max values: 3.5581019918925243, median values: 0.0127235059212385, and quantile values: 0.25 -0.446768\n0.50 0.012724\n0.75 0.527342\nName: 3631, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4401338170795632, std values: 0.8894457900576388, min values: -1.9251718191674347, max values: 5.0, median values: 0.4137168020423635, and quantile values: 0.25 -0.223055\n0.50 0.413717\n0.75 1.146010\nName: 3632, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06637100042876677, std values: 0.8346157170028394, min values: -2.3771558481240653, max values: 4.0, median values: -0.1555891920911201, and quantile values: 0.25 -0.642854\n0.50 -0.155589\n0.75 0.461053\nName: 3633, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33680241620799456, std values: 1.3693357873612446, min values: -2.622709665346679, max values: 3.258347009006034, median values: 0.5840530854937442, and quantile values: 0.25 -0.507994\n0.50 0.584053\n0.75 1.429043\nName: 3634, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07190903791840542, std values: 0.9241227737488686, min values: -2.4705236352348297, max values: 3.477886732511886, median values: -0.1685524164673291, and quantile values: 0.25 -0.837664\n0.50 -0.168552\n0.75 0.579047\nName: 3635, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.47022876646662054, std values: 0.9497145595029116, min values: -2.572123985342288, max values: 5.0, median values: -0.538546290545114, and quantile values: 0.25 -1.249742\n0.50 -0.538546\n0.75 0.199442\nName: 3636, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24827346797641486, std values: 0.8840225294997855, min values: -2.5624611946462936, max values: 5.0, median values: 0.2672390544188884, and quantile values: 0.25 -0.230306\n0.50 0.267239\n0.75 0.813502\nName: 3637, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06394556050877519, std values: 0.8934093144108128, min values: -2.476285024008804, max values: 3.9048392686725855, median values: 0.0775041599884941, and quantile values: 0.25 -0.603959\n0.50 0.077504\n0.75 0.666284\nName: 3638, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06811984688414903, std values: 1.421420733673355, min values: -2.8547740449753216, max values: 5.0, median values: -0.1594649498840739, and quantile values: 0.25 -0.925275\n0.50 -0.159465\n0.75 1.059339\nName: 3639, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24933902919396242, std values: 1.2399773618643462, min values: -2.8246479422601736, max values: 6.0, median values: -0.1742606779738293, and quantile values: 0.25 -1.191068\n0.50 -0.174261\n0.75 0.714056\nName: 3640, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06913267529494076, std values: 1.2569860811002131, min values: -2.9666813816765707, max values: 4.0, median values: 0.1471578729431082, and quantile values: 0.25 -0.795775\n0.50 0.147158\n0.75 0.839219\nName: 3641, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.054538354758896464, std values: 0.8385452473669437, min values: -2.688157591415518, max values: 5.0, median values: -0.0733326373831796, and quantile values: 0.25 -0.653104\n0.50 -0.073333\n0.75 0.453839\nName: 3642, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25283629203080965, std values: 0.9860860366602431, min values: -2.3808324358856225, max values: 3.390469008396469, median values: 0.1616129801340615, and quantile values: 0.25 -0.473178\n0.50 0.161613\n0.75 0.934824\nName: 3643, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0871671655757769, std values: 0.8283277622891727, min values: -2.245752867605861, max values: 2.9534763778843827, median values: -0.1708542372039177, and quantile values: 0.25 -0.726586\n0.50 -0.170854\n0.75 0.463736\nName: 3644, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5098482064799427, std values: 0.7470309132676421, min values: -1.947761146849983, max values: 3.3483277116524426, median values: 0.5404246900063663, and quantile values: 0.25 0.063079\n0.50 0.540425\n0.75 0.965050\nName: 3645, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04038037927620027, std values: 0.9857902097190694, min values: -2.687115288423959, max values: 5.0, median values: 0.2128222453123257, and quantile values: 0.25 -0.468848\n0.50 0.212822\n0.75 0.700519\nName: 3646, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4926966199061134, std values: 0.8961211362592318, min values: -2.0632190848799, max values: 4.0, median values: 0.5795182599884459, and quantile values: 0.25 -0.147483\n0.50 0.579518\n0.75 1.153343\nName: 3647, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5660089940816424, std values: 1.0245214192016785, min values: -2.608390851963037, max values: 5.0, median values: -0.5309844196081726, and quantile values: 0.25 -1.296021\n0.50 -0.530984\n0.75 0.090834\nName: 3648, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0596934896567243, std values: 1.329878433453152, min values: -2.727901130262228, max values: 4.0, median values: -1.6970522895331734, and quantile values: 0.25 -2.140874\n0.50 -1.697052\n0.75 -0.009226\nName: 3649, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25262047586135183, std values: 1.0351465996037634, min values: -2.622408470084112, max values: 3.0, median values: -0.1633047084743847, and quantile values: 0.25 -0.963329\n0.50 -0.163305\n0.75 0.511600\nName: 3650, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5458959188577137, std values: 1.113461239499386, min values: -2.0477799217050063, max values: 5.0, median values: 0.4211951965752786, and quantile values: 0.25 -0.295270\n0.50 0.421195\n0.75 1.379507\nName: 3651, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8709873394426686, std values: 1.0959531658452208, min values: -2.697026421440041, max values: 4.0, median values: -0.8440568077602539, and quantile values: 0.25 -1.925713\n0.50 -0.844057\n0.75 -0.140331\nName: 3652, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08239516300801962, std values: 0.7652083365413768, min values: -2.046854428487538, max values: 5.0, median values: 0.1326593970414802, and quantile values: 0.25 -0.421402\n0.50 0.132659\n0.75 0.593441\nName: 3653, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.631747801451086, std values: 1.1298772887517654, min values: -2.5399045531878324, max values: 4.0, median values: 0.7864234933850437, and quantile values: 0.25 -0.054031\n0.50 0.786423\n0.75 1.481791\nName: 3654, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11982043363942464, std values: 0.8073687322854142, min values: -2.142854198138545, max values: 5.0, median values: -0.0697033245033166, and quantile values: 0.25 -0.686083\n0.50 -0.069703\n0.75 0.447898\nName: 3655, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20146252774351392, std values: 0.9636339185483602, min values: -2.3808324358856225, max values: 3.867701659180865, median values: -0.354942873526605, and quantile values: 0.25 -0.932147\n0.50 -0.354943\n0.75 0.421686\nName: 3656, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.002992156918541502, std values: 0.9935421512700248, min values: -2.8246479422601736, max values: 6.0, median values: 0.0105175483905243, and quantile values: 0.25 -0.659354\n0.50 0.010518\n0.75 0.686092\nName: 3657, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4037268021358422, std values: 0.8443007836082744, min values: -1.9146617836401167, max values: 5.0, median values: 0.4206868841380428, and quantile values: 0.25 -0.141665\n0.50 0.420687\n0.75 0.947289\nName: 3658, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5015409583812036, std values: 0.9768411277204715, min values: -2.6652153608723106, max values: 3.155379154255993, median values: 0.6400701332640377, and quantile values: 0.25 -0.039998\n0.50 0.640070\n0.75 1.205372\nName: 3659, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5657103299680685, std values: 0.9029293645810659, min values: -1.946345360714374, max values: 4.0, median values: 0.5723484471621644, and quantile values: 0.25 -0.019637\n0.50 0.572348\n0.75 1.129541\nName: 3660, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6492567930845723, std values: 0.8576558537813752, min values: -2.000756945348453, max values: 6.0, median values: 0.7559463067056542, and quantile values: 0.25 0.057120\n0.50 0.755946\n0.75 1.289045\nName: 3661, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3518601885336343, std values: 0.8586198210779213, min values: -2.673549169958716, max values: 6.0, median values: -0.3970337645494637, and quantile values: 0.25 -0.918661\n0.50 -0.397034\n0.75 0.202917\nName: 3662, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43696567300627964, std values: 1.0281771605738879, min values: -2.740813841730953, max values: 4.278004674434932, median values: 0.4973737776820123, and quantile values: 0.25 -0.191541\n0.50 0.497374\n0.75 1.149416\nName: 3663, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17717534158016227, std values: 0.7391108457475262, min values: -2.04551391420568, max values: 3.3636961113187773, median values: -0.2183809284792504, and quantile values: 0.25 -0.683224\n0.50 -0.218381\n0.75 0.276480\nName: 3664, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24469825079604335, std values: 0.9158670721832012, min values: -2.9622221028070275, max values: 6.0, median values: -0.2724598771705479, and quantile values: 0.25 -0.773078\n0.50 -0.272460\n0.75 0.307461\nName: 3665, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02813200122359271, std values: 0.8594370861421544, min values: -2.623568901859613, max values: 4.0, median values: 0.0366079220351815, and quantile values: 0.25 -0.527614\n0.50 0.036608\n0.75 0.517398\nName: 3666, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12689784899960516, std values: 0.8124568869408894, min values: -2.662750916816848, max values: 5.0, median values: 0.0454830828864435, and quantile values: 0.25 -0.409011\n0.50 0.045483\n0.75 0.639834\nName: 3667, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31425485156708705, std values: 0.8694903094230075, min values: -1.9851736225891727, max values: 5.0, median values: 0.3448420214860199, and quantile values: 0.25 -0.302437\n0.50 0.344842\n0.75 0.935144\nName: 3668, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11839684731225675, std values: 0.7412138753074223, min values: -2.12073996675014, max values: 3.0, median values: -0.1344351159353702, and quantile values: 0.25 -0.589331\n0.50 -0.134435\n0.75 0.317119\nName: 3669, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04976645916920445, std values: 0.795458414005972, min values: -2.139311372893009, max values: 5.0, median values: 0.0683782831478455, and quantile values: 0.25 -0.479426\n0.50 0.068378\n0.75 0.537910\nName: 3670, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06740451412758616, std values: 0.8750291076956805, min values: -2.56026492390943, max values: 4.0, median values: -0.1218317093247527, and quantile values: 0.25 -0.590512\n0.50 -0.121832\n0.75 0.480009\nName: 3671, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12451834904308508, std values: 1.0908552704776524, min values: -2.623568901859613, max values: 4.0, median values: 0.2772951418550102, and quantile values: 0.25 -0.396119\n0.50 0.277295\n0.75 0.802129\nName: 3672, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15347722889279253, std values: 0.739117804536371, min values: -2.1222500742240245, max values: 2.688135003717021, median values: 0.1651253140481008, and quantile values: 0.25 -0.336757\n0.50 0.165125\n0.75 0.593042\nName: 3673, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.031592116353971536, std values: 0.8315805011530321, min values: -2.620939317041317, max values: 3.4758930087721422, median values: -0.0224739711694004, and quantile values: 0.25 -0.523642\n0.50 -0.022474\n0.75 0.537910\nName: 3674, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18779665110347327, std values: 0.9496090246722031, min values: -2.730840794324401, max values: 3.455472209455805, median values: 0.3127776832016768, and quantile values: 0.25 -0.358405\n0.50 0.312778\n0.75 0.881621\nName: 3675, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.020964884824265038, std values: 0.9873075900543181, min values: -2.688157591415518, max values: 4.0, median values: 0.039033116045973, and quantile values: 0.25 -0.538074\n0.50 0.039033\n0.75 0.648883\nName: 3676, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6126430041964042, std values: 1.3313282952134404, min values: -2.6404955031131814, max values: 5.0, median values: 0.4781008874140599, and quantile values: 0.25 -0.321096\n0.50 0.478101\n0.75 1.569220\nName: 3677, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28444939131972, std values: 1.0031509925534605, min values: -2.919359491767569, max values: 6.0, median values: 0.3524136208925248, and quantile values: 0.25 -0.422372\n0.50 0.352414\n0.75 1.019524\nName: 3678, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.599540510546133, std values: 0.9606307882707061, min values: -2.3808324358856225, max values: 3.518664430018096, median values: 0.6983456467553977, and quantile values: 0.25 -0.048825\n0.50 0.698346\n0.75 1.307712\nName: 3679, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3232108805437073, std values: 0.7905298959979025, min values: -2.0845218758782083, max values: 5.0, median values: 0.3734670764340008, and quantile values: 0.25 -0.157485\n0.50 0.373467\n0.75 0.839622\nName: 3680, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0030343070049064654, std values: 1.1646157165913371, min values: -3.0148736195915964, max values: 3.0, median values: 0.2402433351467612, and quantile values: 0.25 -0.553765\n0.50 0.240243\n0.75 0.774480\nName: 3681, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3807616481551609, std values: 0.9724841877179069, min values: -2.1301704007793827, max values: 4.0, median values: 0.3263994270620411, and quantile values: 0.25 -0.254314\n0.50 0.326399\n0.75 1.024352\nName: 3682, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1059422623618306, std values: 1.2326537931281984, min values: -2.7542003929097176, max values: 5.0, median values: -0.2912239004347618, and quantile values: 0.25 -0.966039\n0.50 -0.291224\n0.75 0.589556\nName: 3683, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8856016409898692, std values: 1.1567961248818897, min values: -3.21990804472754, max values: 5.0, median values: -0.923796692546654, and quantile values: 0.25 -1.875107\n0.50 -0.923797\n0.75 -0.042065\nName: 3684, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.152029543927498, std values: 0.8123813036685719, min values: -2.73836943861057, max values: 3.216771431244405, median values: -0.2524940717244164, and quantile values: 0.25 -0.736627\n0.50 -0.252494\n0.75 0.346596\nName: 3685, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.024402292994913744, std values: 0.8306556757988032, min values: -2.860922438481449, max values: 3.163266084685921, median values: 0.0747546003580525, and quantile values: 0.25 -0.455016\n0.50 0.074755\n0.75 0.550075\nName: 3686, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11460624154891247, std values: 0.7759532760603876, min values: -2.0965109964186563, max values: 3.047545592545638, median values: 0.0803728599425213, and quantile values: 0.25 -0.391879\n0.50 0.080373\n0.75 0.562388\nName: 3687, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43479993771353487, std values: 1.046725760373991, min values: -2.1680706395058, max values: 4.026668017837955, median values: -0.6266079098389615, and quantile values: 0.25 -1.242192\n0.50 -0.626608\n0.75 0.131548\nName: 3688, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29007268176155626, std values: 0.9015910440063049, min values: -2.007714215753013, max values: 3.867701659180865, median values: 0.3445497721652023, and quantile values: 0.25 -0.332331\n0.50 0.344550\n0.75 0.895722\nName: 3689, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5762312981455576, std values: 1.1224957945178968, min values: -2.0854901680147853, max values: 4.243835016543704, median values: 0.5817561847347891, and quantile values: 0.25 -0.302124\n0.50 0.581756\n0.75 1.523553\nName: 3690, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21941161814012117, std values: 0.9952240416966506, min values: -3.0960472541202715, max values: 6.0, median values: 0.2996675104976879, and quantile values: 0.25 -0.360374\n0.50 0.299668\n0.75 0.883082\nName: 3691, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14781712714325013, std values: 0.8315094686857585, min values: -1.9108337573155767, max values: 6.0, median values: 0.0747009550609019, and quantile values: 0.25 -0.461820\n0.50 0.074701\n0.75 0.685016\nName: 3692, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.001816328724446657, std values: 0.8946514150539127, min values: -2.693453432157769, max values: 3.236860296211547, median values: 0.0687647410384582, and quantile values: 0.25 -0.565261\n0.50 0.068765\n0.75 0.627479\nName: 3693, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.48156273098343844, std values: 0.9368289740888052, min values: -2.2161166709808824, max values: 6.0, median values: 0.5090104615133204, and quantile values: 0.25 -0.200118\n0.50 0.509010\n0.75 1.255144\nName: 3694, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1346319393691389, std values: 0.948034856148437, min values: -2.641174291463747, max values: 6.0, median values: 0.2125405527323151, and quantile values: 0.25 -0.500264\n0.50 0.212541\n0.75 0.855159\nName: 3695, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12467370639949431, std values: 0.90786061785056, min values: -2.623568901859613, max values: 4.0, median values: 0.2120053832711234, and quantile values: 0.25 -0.417440\n0.50 0.212005\n0.75 0.705165\nName: 3696, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23707742974159157, std values: 1.1682262769392735, min values: -2.497627580948261, max values: 3.5908526919299577, median values: 0.1860213256020279, and quantile values: 0.25 -0.603902\n0.50 0.186021\n0.75 1.227601\nName: 3697, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5720039916027714, std values: 0.9427416350223444, min values: -2.7079569354156177, max values: 6.0, median values: -0.6972301226722643, and quantile values: 0.25 -1.371618\n0.50 -0.697230\n0.75 0.078264\nName: 3698, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3132772129276472, std values: 0.8621752786721534, min values: -2.1672848631004347, max values: 3.709787027503053, median values: -0.424192994718172, and quantile values: 0.25 -0.957880\n0.50 -0.424193\n0.75 0.223455\nName: 3699, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2500547110444018, std values: 0.7354433525685884, min values: -2.12073996675014, max values: 3.0, median values: -0.3054403917317067, and quantile values: 0.25 -0.740971\n0.50 -0.305440\n0.75 0.176277\nName: 3700, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46935187076187296, std values: 0.9062131881979677, min values: -3.074005993202373, max values: 2.865194562892494, median values: -0.6008982654335421, and quantile values: 0.25 -1.171884\n0.50 -0.600898\n0.75 0.134688\nName: 3701, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19385890164528538, std values: 0.7623825313132675, min values: -1.971458270160132, max values: 4.0, median values: 0.2359807676892774, and quantile values: 0.25 -0.314806\n0.50 0.235981\n0.75 0.716375\nName: 3702, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06507332812933485, std values: 1.30932941186892, min values: -2.8563982925340614, max values: 5.0, median values: 0.2640317487673563, and quantile values: 0.25 -0.650856\n0.50 0.264032\n0.75 1.100323\nName: 3703, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9821533005707822, std values: 1.34757481698438, min values: -2.727901130262228, max values: 4.0, median values: -1.6842246352128796, and quantile values: 0.25 -2.140874\n0.50 -1.684225\n0.75 0.236434\nName: 3704, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36011635431021505, std values: 0.8869194290019963, min values: -2.111645660675125, max values: 4.0, median values: 0.4128469602368558, and quantile values: 0.25 -0.277481\n0.50 0.412847\n0.75 0.997316\nName: 3705, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.006613306576658629, std values: 1.0048062312681771, min values: -2.238708266758884, max values: 3.569037956734876, median values: -0.1314307387804921, and quantile values: 0.25 -0.735694\n0.50 -0.131431\n0.75 0.588910\nName: 3706, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14961512481232783, std values: 1.1529684522121946, min values: -2.8834699678265463, max values: 5.0, median values: 0.2684394386567496, and quantile values: 0.25 -0.529462\n0.50 0.268439\n0.75 1.027405\nName: 3707, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06300087453299485, std values: 0.8793039531502853, min values: -2.097789552389633, max values: 6.0, median values: -0.0582786198798998, and quantile values: 0.25 -0.675662\n0.50 -0.058279\n0.75 0.487076\nName: 3708, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23008039150174464, std values: 0.8665460411383412, min values: -2.2814383223755774, max values: 3.336438412828754, median values: 0.3144844128296523, and quantile values: 0.25 -0.424038\n0.50 0.314484\n0.75 0.900569\nName: 3709, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3863871051621989, std values: 0.9611067983781403, min values: -2.5422910691068967, max values: 3.5581019918925243, median values: 0.4029276469732101, and quantile values: 0.25 -0.260805\n0.50 0.402928\n0.75 0.997180\nName: 3710, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13732090411848663, std values: 0.7517111501663841, min values: -1.992345720583579, max values: 6.0, median values: -0.1438615977923614, and quantile values: 0.25 -0.656960\n0.50 -0.143862\n0.75 0.340167\nName: 3711, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1353023973598698, std values: 0.9218140801281317, min values: -2.58513369695146, max values: 4.243835016543704, median values: 0.0667497506964359, and quantile values: 0.25 -0.494954\n0.50 0.066750\n0.75 0.659971\nName: 3712, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3566072824672047, std values: 0.8878897355431955, min values: -2.1798712735263623, max values: 3.9905524164385566, median values: 0.4281269274620575, and quantile values: 0.25 -0.274987\n0.50 0.428127\n0.75 1.057394\nName: 3713, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05946673162517986, std values: 0.8867505672495708, min values: -2.4316671413950983, max values: 6.0, median values: -0.013992083188255, and quantile values: 0.25 -0.518249\n0.50 -0.013992\n0.75 0.570406\nName: 3714, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2447925945537155, std values: 1.0169916470243674, min values: -2.267175988438518, max values: 5.0, median values: -0.2963925095812956, and quantile values: 0.25 -1.107359\n0.50 -0.296393\n0.75 0.481442\nName: 3715, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.013462243094454339, std values: 0.7815119046611709, min values: -2.055430953058359, max values: 3.247416277295021, median values: -0.0364425758997888, and quantile values: 0.25 -0.517367\n0.50 -0.036443\n0.75 0.495342\nName: 3716, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1033953230520029, std values: 0.7727786162620777, min values: -2.275531026921315, max values: 5.0, median values: -0.1027542842373274, and quantile values: 0.25 -0.606826\n0.50 -0.102754\n0.75 0.362466\nName: 3717, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3585129686603679, std values: 0.9392599872401338, min values: -2.732564679617164, max values: 3.528773265847577, median values: 0.3250635991708106, and quantile values: 0.25 -0.281175\n0.50 0.325064\n0.75 0.932877\nName: 3718, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.9332635276902213, std values: 1.1019937995628126, min values: -1.906887915119841, max values: 5.0, median values: 0.9810105009827936, and quantile values: 0.25 0.066281\n0.50 0.981011\n0.75 1.876228\nName: 3719, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08718044272890572, std values: 0.8654608194568506, min values: -2.011468604219464, max values: 6.0, median values: -0.148067362195426, and quantile values: 0.25 -0.771072\n0.50 -0.148067\n0.75 0.518833\nName: 3720, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2125100067292655, std values: 0.9871753051804699, min values: -2.5631847770497496, max values: 4.0, median values: 0.298604724472398, and quantile values: 0.25 -0.418098\n0.50 0.298605\n0.75 0.912833\nName: 3721, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19449821048653457, std values: 1.210720446873454, min values: -2.6122411453164007, max values: 4.0, median values: -0.2838118101010327, and quantile values: 0.25 -0.998001\n0.50 -0.283812\n0.75 0.653087\nName: 3722, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3205567754289119, std values: 0.8180383889808274, min values: -2.5820330744015787, max values: 4.0, median values: -0.3164954627258132, and quantile values: 0.25 -0.828811\n0.50 -0.316495\n0.75 0.144363\nName: 3723, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42155458844229643, std values: 1.0604443432894326, min values: -2.287426320816534, max values: 3.434669824302974, median values: -0.6164288828800769, and quantile values: 0.25 -1.309493\n0.50 -0.616429\n0.75 0.307934\nName: 3724, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2889286242176493, std values: 0.8376513015765195, min values: -2.5563022890751474, max values: 4.0, median values: -0.3905008205600293, and quantile values: 0.25 -0.888668\n0.50 -0.390501\n0.75 0.261090\nName: 3725, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1810502555895385, std values: 1.0276511221304843, min values: -3.1175233493066874, max values: 3.247416277295021, median values: 0.1583486794414483, and quantile values: 0.25 -0.495182\n0.50 0.158349\n0.75 0.868735\nName: 3726, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32963204069960694, std values: 0.8108160747296347, min values: -2.6270253558526173, max values: 4.0, median values: -0.4112210625690319, and quantile values: 0.25 -0.879601\n0.50 -0.411221\n0.75 0.120544\nName: 3727, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33560078085304196, std values: 0.8172944138089459, min values: -2.6820581866633817, max values: 3.867701659180865, median values: -0.3024120791947438, and quantile values: 0.25 -0.873080\n0.50 -0.302412\n0.75 0.161501\nName: 3728, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.498108180210109, std values: 0.7710096667718361, min values: -2.072108449798908, max values: 3.496479817235339, median values: 0.5829916470504406, and quantile values: 0.25 -0.004963\n0.50 0.582992\n0.75 1.057009\nName: 3729, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10471654764482093, std values: 1.0977623411192656, min values: -2.8834699678265463, max values: 5.0, median values: -0.0393852644686962, and quantile values: 0.25 -0.703259\n0.50 -0.039385\n0.75 0.611597\nName: 3730, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06088132416184768, std values: 0.9533965236297238, min values: -2.5906203367024587, max values: 3.2071942083719924, median values: -0.0213908577277297, and quantile values: 0.25 -0.688803\n0.50 -0.021391\n0.75 0.695393\nName: 3731, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06472945516152248, std values: 1.2483676616658526, min values: -2.769191083399913, max values: 3.405671179043623, median values: 0.0325021109720694, and quantile values: 0.25 -0.788263\n0.50 0.032502\n0.75 0.818034\nName: 3732, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1540302029976801, std values: 0.9959490289507843, min values: -2.5953860446419177, max values: 5.0, median values: -0.1786010959782804, and quantile values: 0.25 -0.792470\n0.50 -0.178601\n0.75 0.518887\nName: 3733, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31247131277265167, std values: 0.7888779036023951, min values: -2.732564679617164, max values: 3.0932086550988465, median values: 0.3671896873879063, and quantile values: 0.25 -0.201540\n0.50 0.367190\n0.75 0.871245\nName: 3734, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20553086703915335, std values: 0.8546098594202208, min values: -2.3956757135390148, max values: 3.1995118554872866, median values: -0.2538157126131607, and quantile values: 0.25 -0.789353\n0.50 -0.253816\n0.75 0.298523\nName: 3735, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16379601491258572, std values: 0.75581631047863, min values: -2.439930808627264, max values: 4.0, median values: 0.2093612877871044, and quantile values: 0.25 -0.341425\n0.50 0.209361\n0.75 0.658567\nName: 3736, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22126669436254937, std values: 0.9283271170740709, min values: -2.019444869101018, max values: 4.243835016543704, median values: 0.1741816601324336, and quantile values: 0.25 -0.463077\n0.50 0.174182\n0.75 0.858261\nName: 3737, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5143900603820023, std values: 0.8635785894946716, min values: -2.558791007225312, max values: 3.0418703198091483, median values: -0.5757204303374984, and quantile values: 0.25 -1.179711\n0.50 -0.575720\n0.75 0.036216\nName: 3738, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5888655000465143, std values: 0.7753290025411409, min values: -2.572123985342288, max values: 5.0, median values: -0.5881503399667163, and quantile values: 0.25 -1.139301\n0.50 -0.588150\n0.75 -0.110603\nName: 3739, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5116703689200206, std values: 0.8431002388701352, min values: -2.5743883495350026, max values: 5.0, median values: -0.5865204568941413, and quantile values: 0.25 -1.061739\n0.50 -0.586520\n0.75 0.006472\nName: 3740, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08950375357295841, std values: 0.8734833431088035, min values: -1.962697027733364, max values: 3.017846660960028, median values: -0.015945938005479, and quantile values: 0.25 -0.485854\n0.50 -0.015946\n0.75 0.641895\nName: 3741, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2304614832848558, std values: 0.89710438567116, min values: -2.730840794324401, max values: 3.176672644814091, median values: 0.2840985326200586, and quantile values: 0.25 -0.373847\n0.50 0.284099\n0.75 0.863327\nName: 3742, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4137713963962339, std values: 0.9095758819266009, min values: -2.39180940730784, max values: 4.0, median values: -0.4581638201079998, and quantile values: 0.25 -1.165796\n0.50 -0.458164\n0.75 0.193452\nName: 3743, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.013313549628469262, std values: 0.8106712132157685, min values: -2.118282794836992, max values: 3.1395741599540568, median values: -0.0550489169821425, and quantile values: 0.25 -0.569567\n0.50 -0.055049\n0.75 0.510641\nName: 3744, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24139132363048824, std values: 0.8830703838541243, min values: -2.724017888297919, max values: 3.455472209455805, median values: -0.3426216631804515, and quantile values: 0.25 -0.819352\n0.50 -0.342622\n0.75 0.317241\nName: 3745, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.177179079191577, std values: 0.7957577361556172, min values: -2.732564679617164, max values: 3.784832159836258, median values: 0.2180904795487271, and quantile values: 0.25 -0.350635\n0.50 0.218090\n0.75 0.730839\nName: 3746, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4336000275209662, std values: 1.1517738465325085, min values: -2.9029979285382743, max values: 3.2696814875916886, median values: -0.2700323824944974, and quantile values: 0.25 -1.169698\n0.50 -0.270032\n0.75 0.362188\nName: 3747, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.028418832704114376, std values: 0.7812675408635674, min values: -2.0531592997310795, max values: 3.247416277295021, median values: -0.0871067195710657, and quantile values: 0.25 -0.547834\n0.50 -0.087107\n0.75 0.455462\nName: 3748, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9261928221604044, std values: 1.5844022722471351, min values: -3.530441124712342, max values: 3.5021977227593246, median values: -1.6819837608683206, and quantile values: 0.25 -1.980784\n0.50 -1.681984\n0.75 0.021675\nName: 3749, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26187346591793853, std values: 0.8354037472337809, min values: -2.8121055320525654, max values: 5.0, median values: -0.3530663851955503, and quantile values: 0.25 -0.848735\n0.50 -0.353066\n0.75 0.232199\nName: 3750, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6897719130365121, std values: 1.2177277057983602, min values: -2.57895707818966, max values: 6.0, median values: 0.6878958857777302, and quantile values: 0.25 -0.266847\n0.50 0.687896\n0.75 1.731849\nName: 3751, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15134974635618406, std values: 0.8282253117439236, min values: -1.9154246878900985, max values: 3.05919958255637, median values: 0.0591062235329444, and quantile values: 0.25 -0.430274\n0.50 0.059106\n0.75 0.706967\nName: 3752, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43204014665638457, std values: 0.9459466657202571, min values: -2.634919142586459, max values: 6.0, median values: -0.3479908874164591, and quantile values: 0.25 -1.028830\n0.50 -0.347991\n0.75 0.170380\nName: 3753, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3361222951673077, std values: 0.8709411681034079, min values: -2.1414883906350908, max values: 6.0, median values: 0.2447948932225122, and quantile values: 0.25 -0.255891\n0.50 0.244795\n0.75 0.929975\nName: 3754, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.052599152704255234, std values: 0.915143345078615, min values: -2.0845218758782083, max values: 4.243835016543704, median values: -0.1621152242617008, and quantile values: 0.25 -0.693648\n0.50 -0.162115\n0.75 0.530659\nName: 3755, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3006266518290554, std values: 0.9435827268303356, min values: -2.815821936576896, max values: 3.0046625681201315, median values: -0.2532333549758663, and quantile values: 0.25 -0.845893\n0.50 -0.253233\n0.75 0.274763\nName: 3756, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.521586085422372, std values: 0.8466050404678226, min values: -2.1098479262714123, max values: 3.0, median values: -0.6473935271038425, and quantile values: 0.25 -1.195693\n0.50 -0.647394\n0.75 0.046586\nName: 3757, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10191702475343324, std values: 0.8791005159658801, min values: -2.601639132009086, max values: 6.0, median values: -0.1864976857609464, and quantile values: 0.25 -0.713950\n0.50 -0.186498\n0.75 0.427920\nName: 3758, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11668815068874033, std values: 0.7792756710064268, min values: -2.4788285026914285, max values: 4.0, median values: 0.1116556288313829, and quantile values: 0.25 -0.384698\n0.50 0.111656\n0.75 0.586774\nName: 3759, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3556796211520096, std values: 0.8914985282055106, min values: -2.0787527795044047, max values: 3.496479817235339, median values: 0.3673919567965693, and quantile values: 0.25 -0.233688\n0.50 0.367392\n0.75 0.939352\nName: 3760, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2258430842795923, std values: 0.8139936231772896, min values: -2.687115288423959, max values: 5.0, median values: -0.3337569739828951, and quantile values: 0.25 -0.809014\n0.50 -0.333757\n0.75 0.275895\nName: 3761, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.2326311748168421, std values: 1.2018078056727426, min values: -3.21990804472754, max values: 5.0, median values: -1.734538354918487, and quantile values: 0.25 -2.174844\n0.50 -1.734538\n0.75 -0.218798\nName: 3762, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15146840407260187, std values: 0.8424982300931676, min values: -2.019444869101018, max values: 3.9905524164385566, median values: 0.0697033245033167, and quantile values: 0.25 -0.422952\n0.50 0.069703\n0.75 0.691605\nName: 3763, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.117103680864841, std values: 0.8120678554885271, min values: -3.074005993202373, max values: 3.415255285860171, median values: -0.0473339473069072, and quantile values: 0.25 -0.572903\n0.50 -0.047334\n0.75 0.390279\nName: 3764, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40317928677909926, std values: 0.767190343143846, min values: -2.264034258932616, max values: 3.709787027503053, median values: 0.3550015338961313, and quantile values: 0.25 -0.090424\n0.50 0.355002\n0.75 0.898762\nName: 3765, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07770327732671804, std values: 1.0395557776612119, min values: -2.9109251266226006, max values: 3.709787027503053, median values: -0.0592153870729046, and quantile values: 0.25 -0.808413\n0.50 -0.059215\n0.75 0.648611\nName: 3766, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12480981925041441, std values: 0.8466196232234147, min values: -2.1227739687253626, max values: 3.434669824302974, median values: 0.0334017647059017, and quantile values: 0.25 -0.428127\n0.50 0.033402\n0.75 0.657276\nName: 3767, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09476172714815019, std values: 0.8568325935565986, min values: -2.572123985342288, max values: 5.0, median values: 0.119002258783805, and quantile values: 0.25 -0.414797\n0.50 0.119002\n0.75 0.618785\nName: 3768, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.00632765381038323, std values: 0.9861573886827181, min values: -1.9691533142049409, max values: 4.278004674434932, median values: -0.194013031811067, and quantile values: 0.25 -0.708347\n0.50 -0.194013\n0.75 0.546970\nName: 3769, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22519412010380474, std values: 0.9500902575340908, min values: -2.2012167772695554, max values: 3.670892362631932, median values: -0.3024372903872988, and quantile values: 0.25 -1.007771\n0.50 -0.302437\n0.75 0.447846\nName: 3770, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12392284082535877, std values: 1.0327895969791918, min values: -2.673124659932621, max values: 6.0, median values: -0.2412165088959828, and quantile values: 0.25 -0.772759\n0.50 -0.241217\n0.75 0.536600\nName: 3771, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03786896611734615, std values: 1.0042256222602455, min values: -2.6270253558526173, max values: 4.0, median values: 0.1676415264276186, and quantile values: 0.25 -0.478498\n0.50 0.167642\n0.75 0.691275\nName: 3772, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4060647185645838, std values: 0.9793970652787178, min values: -2.0446222759012818, max values: 5.0, median values: 0.4544919068650349, and quantile values: 0.25 -0.317365\n0.50 0.454492\n0.75 1.200829\nName: 3773, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20892206282193124, std values: 0.8991313505644465, min values: -2.740813841730953, max values: 3.477886732511886, median values: -0.2023604862353392, and quantile values: 0.25 -0.779166\n0.50 -0.202360\n0.75 0.320499\nName: 3774, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4495677934564505, std values: 0.8528307072546041, min values: -2.6899145007874274, max values: 3.047545592545638, median values: -0.5680417900482005, and quantile values: 0.25 -1.100470\n0.50 -0.568042\n0.75 0.113485\nName: 3775, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.598533724839825, std values: 1.1375505355419147, min values: -2.0897492665563764, max values: 3.455472209455805, median values: 0.5793505327167124, and quantile values: 0.25 -0.296875\n0.50 0.579351\n0.75 1.579808\nName: 3776, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07724942668588804, std values: 0.9322164293066225, min values: -2.623568901859613, max values: 4.0, median values: 0.2121886373268718, and quantile values: 0.25 -0.439552\n0.50 0.212189\n0.75 0.711323\nName: 3777, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.053715897698275165, std values: 1.053413547049925, min values: -2.673549169958716, max values: 6.0, median values: 0.1568157951097723, and quantile values: 0.25 -0.546363\n0.50 0.156816\n0.75 0.700335\nName: 3778, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15149506711560046, std values: 0.9110889056173647, min values: -2.221075353514828, max values: 3.9905524164385566, median values: 0.0945177682584606, and quantile values: 0.25 -0.449937\n0.50 0.094518\n0.75 0.744489\nName: 3779, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5848658253707012, std values: 0.9564772550646511, min values: -2.609385158408876, max values: 4.0, median values: 0.7476738866393171, and quantile values: 0.25 0.057699\n0.50 0.747674\n0.75 1.240864\nName: 3780, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36954181036312517, std values: 0.8513405681360865, min values: -2.572123985342288, max values: 5.0, median values: -0.3849052383772919, and quantile values: 0.25 -0.961677\n0.50 -0.384905\n0.75 0.161006\nName: 3781, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5477328581023913, std values: 0.7503396837065476, min values: -1.9085722628250763, max values: 4.0, median values: 0.6419302386774315, and quantile values: 0.25 0.067854\n0.50 0.641930\n0.75 1.035209\nName: 3782, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.014390968187660553, std values: 1.460822004661315, min values: -2.684072796644972, max values: 6.0, median values: 0.0266336641671728, and quantile values: 0.25 -1.216728\n0.50 0.026634\n0.75 1.207424\nName: 3783, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5352448088387031, std values: 1.4097024301303462, min values: -2.928515832252388, max values: 5.0, median values: 0.7339600442221544, and quantile values: 0.25 -0.322191\n0.50 0.733960\n0.75 1.617868\nName: 3784, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49995427536923964, std values: 0.8329833378089703, min values: -2.264034258932616, max values: 3.349054967837474, median values: -0.5535450392075946, and quantile values: 0.25 -1.158311\n0.50 -0.553545\n0.75 0.052019\nName: 3785, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16458088312926059, std values: 0.8171521002909984, min values: -2.3808324358856225, max values: 3.0, median values: 0.0979761654453969, and quantile values: 0.25 -0.392092\n0.50 0.097976\n0.75 0.684239\nName: 3786, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43934695735789725, std values: 1.3383518314717577, min values: -2.87684958111886, max values: 3.415255285860171, median values: 0.7202909635142168, and quantile values: 0.25 -0.447140\n0.50 0.720291\n0.75 1.428558\nName: 3787, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11458064989039261, std values: 0.7643998101955267, min values: -2.439930808627264, max values: 4.0, median values: 0.1462739336206366, and quantile values: 0.25 -0.428704\n0.50 0.146274\n0.75 0.678575\nName: 3788, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1724567758856079, std values: 0.9379022553013716, min values: -2.4823451998031074, max values: 4.026668017837955, median values: 0.265879783614601, and quantile values: 0.25 -0.345004\n0.50 0.265880\n0.75 0.766248\nName: 3789, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5494521692482536, std values: 1.0913440243761632, min values: -3.228456465836797, max values: 3.216771431244405, median values: 0.6681979539780998, and quantile values: 0.25 -0.156370\n0.50 0.668198\n0.75 1.277867\nName: 3790, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4182310840347185, std values: 0.9047643982823924, min values: -2.5122218748354936, max values: 3.0, median values: -0.4041583393959878, and quantile values: 0.25 -1.011430\n0.50 -0.404158\n0.75 0.130520\nName: 3791, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1444196112679782, std values: 1.1869174036735861, min values: -3.074005993202373, max values: 3.8226908388056136, median values: 0.0920284244819951, and quantile values: 0.25 -0.802965\n0.50 0.092028\n0.75 1.045428\nName: 3792, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05543966873308894, std values: 0.9679086064266349, min values: -2.63315074164461, max values: 6.0, median values: 0.0317937641140172, and quantile values: 0.25 -0.551838\n0.50 0.031794\n0.75 0.683851\nName: 3793, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43464585090997215, std values: 1.1929379981616084, min values: -2.5953860446419177, max values: 3.0, median values: 0.539310536994438, and quantile values: 0.25 -0.337078\n0.50 0.539311\n0.75 1.381276\nName: 3794, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11148847872428082, std values: 0.870188839523605, min values: -2.634919142586459, max values: 6.0, median values: 0.1740687124271396, and quantile values: 0.25 -0.324715\n0.50 0.174069\n0.75 0.638989\nName: 3795, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5001263212849574, std values: 0.9981449367720867, min values: -2.981718296512785, max values: 5.0, median values: -0.6175724778998475, and quantile values: 0.25 -1.340071\n0.50 -0.617572\n0.75 0.202158\nName: 3796, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07062291975922472, std values: 1.3284759560639436, min values: -3.074005993202373, max values: 3.455472209455805, median values: 0.2789124428163596, and quantile values: 0.25 -0.934952\n0.50 0.278912\n0.75 1.149949\nName: 3797, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11556220553157433, std values: 0.8647344147524746, min values: -2.174843621473063, max values: 5.0, median values: -0.1878108744340214, and quantile values: 0.25 -0.728710\n0.50 -0.187811\n0.75 0.448316\nName: 3798, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11938866736362534, std values: 0.8674364973264264, min values: -2.740813841730953, max values: 3.5427287984042666, median values: -0.1610297117273667, and quantile values: 0.25 -0.637834\n0.50 -0.161030\n0.75 0.427074\nName: 3799, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07188473292935293, std values: 0.8591705129555075, min values: -2.6320986139293034, max values: 3.405671179043623, median values: -0.0312971925031223, and quantile values: 0.25 -0.539440\n0.50 -0.031297\n0.75 0.460442\nName: 3800, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09486238158448275, std values: 0.8668953659658944, min values: -2.196708653609315, max values: 6.0, median values: 0.0129284340863254, and quantile values: 0.25 -0.554117\n0.50 0.012928\n0.75 0.681629\nName: 3801, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0518258843271277, std values: 0.9907705316510459, min values: -2.0830817533965043, max values: 3.518664430018096, median values: -0.2549114734671089, and quantile values: 0.25 -0.753532\n0.50 -0.254911\n0.75 0.556661\nName: 3802, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11256163899611527, std values: 0.8937997506723222, min values: -2.4564928597243227, max values: 5.0, median values: 0.0943943970845843, and quantile values: 0.25 -0.510202\n0.50 0.094394\n0.75 0.753720\nName: 3803, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40101775950922314, std values: 0.8375933597646771, min values: -2.241317853574424, max values: 3.147276669305989, median values: 0.4823857093842097, and quantile values: 0.25 -0.202214\n0.50 0.482386\n0.75 1.032671\nName: 3804, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11515933349210497, std values: 0.8633078292642513, min values: -2.5953860446419177, max values: 3.630507857092792, median values: -0.039125084531475, and quantile values: 0.25 -0.665895\n0.50 -0.039125\n0.75 0.455252\nName: 3805, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16749708821710216, std values: 0.9481201759455247, min values: -2.067607456553483, max values: 6.0, median values: 0.0581263270069698, and quantile values: 0.25 -0.510900\n0.50 0.058126\n0.75 0.744707\nName: 3806, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02674002588322661, std values: 0.8743368172445085, min values: -2.605844844843939, max values: 4.0, median values: -0.041135636039388, and quantile values: 0.25 -0.558400\n0.50 -0.041136\n0.75 0.537560\nName: 3807, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05542516941050311, std values: 0.7574210765123622, min values: -2.2522345393529366, max values: 6.0, median values: 0.047570558592958, and quantile values: 0.25 -0.426953\n0.50 0.047571\n0.75 0.481427\nName: 3808, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3176401694378531, std values: 0.8891833564739562, min values: -2.9029979285382743, max values: 6.0, median values: -0.4312410312180171, and quantile values: 0.25 -0.897655\n0.50 -0.431241\n0.75 0.224867\nName: 3809, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1819652108896467, std values: 1.017830060822679, min values: -2.693453432157769, max values: 3.169414082461771, median values: -0.3230899582890953, and quantile values: 0.25 -0.916479\n0.50 -0.323090\n0.75 0.369466\nName: 3810, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05115617571426778, std values: 0.7382190942290413, min values: -1.9680164995180616, max values: 3.090297571450676, median values: -0.0266336641671728, and quantile values: 0.25 -0.540999\n0.50 -0.026634\n0.75 0.412327\nName: 3811, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5837814942308936, std values: 1.3279987406363774, min values: -2.623568901859613, max values: 4.0, median values: -0.7366632168250388, and quantile values: 0.25 -1.802238\n0.50 -0.736663\n0.75 0.415082\nName: 3812, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30432581199514774, std values: 0.8699819794732535, min values: -2.5689076212724418, max values: 5.0, median values: -0.3014230849924295, and quantile values: 0.25 -0.951018\n0.50 -0.301423\n0.75 0.266565\nName: 3813, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6502286615017936, std values: 1.1066430383157981, min values: -2.6072570508709387, max values: 4.0, median values: 0.7712436704507315, and quantile values: 0.25 -0.096814\n0.50 0.771244\n0.75 1.513713\nName: 3814, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45728157148504067, std values: 1.1887729825115314, min values: -2.8834699678265463, max values: 5.0, median values: -0.4377828784102345, and quantile values: 0.25 -1.391065\n0.50 -0.437783\n0.75 0.413057\nName: 3815, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41156246544293495, std values: 0.860156324713383, min values: -2.982771139679002, max values: 4.0, median values: -0.4918448639499989, and quantile values: 0.25 -1.000263\n0.50 -0.491845\n0.75 0.113540\nName: 3816, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33992794626420014, std values: 0.9092275272387655, min values: -2.733804248449497, max values: 3.0, median values: -0.4128676845069559, and quantile values: 0.25 -0.900171\n0.50 -0.412868\n0.75 0.221168\nName: 3817, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34306924894761126, std values: 0.7635478383399619, min values: -2.2161166709808824, max values: 6.0, median values: 0.3721496380468263, and quantile values: 0.25 -0.159019\n0.50 0.372150\n0.75 0.820037\nName: 3818, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28316746445104335, std values: 0.9726934448762696, min values: -2.566149343918479, max values: 6.0, median values: 0.2208576776067732, and quantile values: 0.25 -0.369175\n0.50 0.220858\n0.75 0.888053\nName: 3819, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2703192020059756, std values: 0.9123016992938424, min values: -2.6404955031131814, max values: 6.0, median values: 0.3060018516296414, and quantile values: 0.25 -0.353066\n0.50 0.306002\n0.75 0.866488\nName: 3820, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19606899058514807, std values: 0.8346893909105286, min values: -2.2733361149611024, max values: 2.6493715640499023, median values: -0.3039715583261957, and quantile values: 0.25 -0.785952\n0.50 -0.303972\n0.75 0.376358\nName: 3821, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2091666000541436, std values: 1.353856225909906, min values: -2.8467638118011016, max values: 5.0, median values: -0.3134405850456322, and quantile values: 0.25 -1.174844\n0.50 -0.313441\n0.75 0.713903\nName: 3822, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10524323555195216, std values: 0.702245337998399, min values: -2.475778245535816, max values: 4.0, median values: -0.118020511250531, and quantile values: 0.25 -0.583773\n0.50 -0.118021\n0.75 0.340217\nName: 3823, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24832315547422296, std values: 0.8590667476292395, min values: -2.5631847770497496, max values: 4.0, median values: 0.3058037188325869, and quantile values: 0.25 -0.345080\n0.50 0.305804\n0.75 0.882318\nName: 3824, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2884765931483658, std values: 0.9274840487823904, min values: -2.7648443048846945, max values: 3.627976272701048, median values: -0.3756980665008628, and quantile values: 0.25 -1.050352\n0.50 -0.375698\n0.75 0.349727\nName: 3825, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.010357557513357495, std values: 0.804864228362862, min values: -2.2038853164231766, max values: 3.4217036547572275, median values: 0.0129162969548899, and quantile values: 0.25 -0.540425\n0.50 0.012916\n0.75 0.461422\nName: 3826, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4904414518847616, std values: 0.78705895233824, min values: -2.058476652448415, max values: 3.224152805256112, median values: 0.5622158548179057, and quantile values: 0.25 -0.010636\n0.50 0.562216\n0.75 0.998086\nName: 3827, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45856020192701724, std values: 1.0887817588905224, min values: -2.196708653609315, max values: 6.0, median values: 0.4046138571100655, and quantile values: 0.25 -0.383956\n0.50 0.404614\n0.75 1.328329\nName: 3828, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31817032889029084, std values: 0.7967300784503639, min values: -3.066111439712689, max values: 2.6663209534568373, median values: -0.3967953939305274, and quantile values: 0.25 -0.818889\n0.50 -0.396795\n0.75 0.171622\nName: 3829, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08715565367109605, std values: 0.9829988660283057, min values: -2.891990595045606, max values: 6.0, median values: -0.0905966632044479, and quantile values: 0.25 -0.618185\n0.50 -0.090597\n0.75 0.548602\nName: 3830, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15586864496596275, std values: 0.7841734629662436, min values: -2.7648443048846945, max values: 2.8436102010648283, median values: 0.1127386044502287, and quantile values: 0.25 -0.368762\n0.50 0.112739\n0.75 0.666834\nName: 3831, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2852816187702177, std values: 0.8973411897260921, min values: -2.0704209263614266, max values: 3.2266531185902125, median values: -0.3349801247281107, and quantile values: 0.25 -0.936389\n0.50 -0.334980\n0.75 0.278057\nName: 3832, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20467493369015494, std values: 0.868027503876608, min values: -2.64479559868397, max values: 6.0, median values: -0.3440262714402333, and quantile values: 0.25 -0.830333\n0.50 -0.344026\n0.75 0.339817\nName: 3833, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1892605255531225, std values: 1.2905423109466927, min values: -2.9109251266226006, max values: 3.598076523509904, median values: 0.0426968844255447, and quantile values: 0.25 -1.158737\n0.50 0.042697\n0.75 0.747835\nName: 3834, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.009181842354980955, std values: 1.0947632874313076, min values: -2.727901130262228, max values: 4.0, median values: 0.0623066770488705, and quantile values: 0.25 -0.686431\n0.50 0.062307\n0.75 0.737820\nName: 3835, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11704607234877061, std values: 1.1350394393284555, min values: -2.9265160609644223, max values: 6.0, median values: 0.2773933866212839, and quantile values: 0.25 -0.446676\n0.50 0.277393\n0.75 0.920243\nName: 3836, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21744635409583757, std values: 0.9508688829366875, min values: -2.657870006553045, max values: 3.434669824302974, median values: 0.3069411634735901, and quantile values: 0.25 -0.405331\n0.50 0.306941\n0.75 0.924768\nName: 3837, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34490015813161295, std values: 0.8913836535845371, min values: -2.1212040292999417, max values: 3.3014869995452325, median values: 0.3274743200235117, and quantile values: 0.25 -0.213204\n0.50 0.327474\n0.75 0.894734\nName: 3838, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5567925464069465, std values: 0.9961464464670393, min values: -2.693453432157769, max values: 3.0, median values: -0.6239054812595225, and quantile values: 0.25 -1.327702\n0.50 -0.623905\n0.75 0.120112\nName: 3839, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11570906562303811, std values: 0.8700815575705582, min values: -2.0199232240674205, max values: 3.867701659180865, median values: 0.006641344576697, and quantile values: 0.25 -0.503374\n0.50 0.006641\n0.75 0.663810\nName: 3840, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.1473402818402252, std values: 1.590189736414802, min values: -3.447534482420193, max values: 3.721862465295849, median values: -1.8868997708273256, and quantile values: 0.25 -2.171049\n0.50 -1.886900\n0.75 -0.153694\nName: 3841, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44013780838648525, std values: 1.012206976478899, min values: -2.041957069977206, max values: 3.867701659180865, median values: 0.4731255203991537, and quantile values: 0.25 -0.339116\n0.50 0.473126\n0.75 1.304606\nName: 3842, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18517353249558507, std values: 0.8573339010413938, min values: -2.03580840849463, max values: 5.0, median values: -0.3014608976274263, and quantile values: 0.25 -0.840598\n0.50 -0.301461\n0.75 0.414407\nName: 3843, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06875083303142393, std values: 0.9030204696502294, min values: -2.6820581866633817, max values: 3.000356517591168, median values: 0.0053426521500555, and quantile values: 0.25 -0.680691\n0.50 0.005343\n0.75 0.597414\nName: 3844, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.021970289178940648, std values: 0.9120660005021145, min values: -2.117042895443173, max values: 6.0, median values: -0.1206665246205623, and quantile values: 0.25 -0.714971\n0.50 -0.120667\n0.75 0.618652\nName: 3845, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0806357354347509, std values: 0.8591394693041889, min values: -2.118728602694946, max values: 3.598076523509904, median values: -0.1639013132937981, and quantile values: 0.25 -0.657849\n0.50 -0.163901\n0.75 0.425807\nName: 3846, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05632615949548521, std values: 0.8715491398225885, min values: -2.0708241912939487, max values: 3.434669824302974, median values: 0.0120625116377862, and quantile values: 0.25 -0.514242\n0.50 0.012063\n0.75 0.614915\nName: 3847, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21655021474575462, std values: 0.8524862455714863, min values: -2.620939317041317, max values: 3.496479817235339, median values: -0.3585821360593894, and quantile values: 0.25 -0.834539\n0.50 -0.358582\n0.75 0.327498\nName: 3848, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3960742596732451, std values: 1.0416046438564006, min values: -2.876502173242568, max values: 4.278004674434932, median values: 0.5986987903382265, and quantile values: 0.25 -0.228031\n0.50 0.598699\n0.75 1.125125\nName: 3849, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09337239867603492, std values: 0.9826079199546865, min values: -2.601639132009086, max values: 6.0, median values: -0.1557006917559847, and quantile values: 0.25 -0.911795\n0.50 -0.155701\n0.75 0.615001\nName: 3850, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17529091347405298, std values: 0.7896301171510728, min values: -2.037108201786327, max values: 3.319774799707247, median values: -0.1886838826209554, and quantile values: 0.25 -0.734065\n0.50 -0.188684\n0.75 0.342973\nName: 3851, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07052279118962734, std values: 0.859471828022859, min values: -2.605098146828148, max values: 6.0, median values: 0.0181494036614983, and quantile values: 0.25 -0.514781\n0.50 0.018149\n0.75 0.572546\nName: 3852, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32369252597681264, std values: 0.9139537444513661, min values: -2.0664852352279466, max values: 4.0, median values: -0.3830671676978407, and quantile values: 0.25 -1.094636\n0.50 -0.383067\n0.75 0.319230\nName: 3853, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1924136264811225, std values: 1.7475965982663098, min values: -2.9265160609644223, max values: 6.0, median values: 0.6597126739063729, and quantile values: 0.25 -1.710412\n0.50 0.659713\n0.75 1.534009\nName: 3854, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20227181713786102, std values: 0.857933932839536, min values: -2.1227739687253626, max values: 3.05919958255637, median values: 0.2309433374162662, and quantile values: 0.25 -0.363285\n0.50 0.230943\n0.75 0.773359\nName: 3855, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5741292801890201, std values: 0.9621881262428247, min values: -2.684072796644972, max values: 6.0, median values: -0.6244223917734893, and quantile values: 0.25 -1.284933\n0.50 -0.624422\n0.75 0.051972\nName: 3856, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03056698397332699, std values: 0.8152381483481479, min values: -2.789830374413015, max values: 3.415255285860171, median values: 0.0649222928117893, and quantile values: 0.25 -0.543518\n0.50 0.064922\n0.75 0.533809\nName: 3857, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.017440164522368826, std values: 1.0069720982009827, min values: -2.01271952487341, max values: 3.090297571450676, median values: 0.0122429791575176, and quantile values: 0.25 -0.815113\n0.50 0.012243\n0.75 0.773805\nName: 3858, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09575779650614873, std values: 0.7877769116266884, min values: -2.688157591415518, max values: 5.0, median values: 0.0276529942262526, and quantile values: 0.25 -0.425952\n0.50 0.027653\n0.75 0.602228\nName: 3859, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04447220306384944, std values: 0.9910962880587764, min values: -2.7428415536925543, max values: 5.0, median values: 0.1077926460436409, and quantile values: 0.25 -0.606194\n0.50 0.107793\n0.75 0.717445\nName: 3860, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34432547551043513, std values: 0.8058127010619431, min values: -2.052706238094415, max values: 6.0, median values: 0.2721900765024566, and quantile values: 0.25 -0.151354\n0.50 0.272190\n0.75 0.818958\nName: 3861, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23581136388532523, std values: 0.8331546784740518, min values: -2.267175988438518, max values: 5.0, median values: 0.1997558419634849, and quantile values: 0.25 -0.286050\n0.50 0.199756\n0.75 0.771231\nName: 3862, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6252756298780999, std values: 0.972005301989773, min values: -2.111380524687595, max values: 4.0, median values: 0.7133238190640272, and quantile values: 0.25 -0.099856\n0.50 0.713324\n0.75 1.396350\nName: 3863, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3676861365440235, std values: 0.8821500930244703, min values: -2.8246479422601736, max values: 5.0, median values: -0.3518855477452187, and quantile values: 0.25 -0.942488\n0.50 -0.351886\n0.75 0.143718\nName: 3864, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38443876484555045, std values: 0.9841490957379725, min values: -2.949186837165601, max values: 4.0, median values: -0.3133164650678098, and quantile values: 0.25 -0.927740\n0.50 -0.313316\n0.75 0.219673\nName: 3865, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0015543507816761534, std values: 0.8969821842209701, min values: -2.673549169958716, max values: 6.0, median values: 0.0525163641816799, and quantile values: 0.25 -0.480685\n0.50 0.052516\n0.75 0.560614\nName: 3866, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3530950226020168, std values: 0.8840804998747477, min values: -2.004849625062012, max values: 5.0, median values: 0.3455435400945507, and quantile values: 0.25 -0.274763\n0.50 0.345544\n0.75 0.963329\nName: 3867, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1027150074778159, std values: 0.8103314816426268, min values: -1.9698108056807304, max values: 3.32433157891547, median values: 0.1507904056648178, and quantile values: 0.25 -0.46081\n0.50 0.15079\n0.75 0.64786\nName: 3868, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12281535543440293, std values: 0.8054818956359727, min values: -2.0972650777209885, max values: 6.0, median values: -0.1894709310857888, and quantile values: 0.25 -0.636525\n0.50 -0.189471\n0.75 0.312084\nName: 3869, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20858548041011918, std values: 0.870878982141575, min values: -2.087432639025188, max values: 5.0, median values: -0.2775383894335113, and quantile values: 0.25 -0.826026\n0.50 -0.277538\n0.75 0.318608\nName: 3870, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39546775540539814, std values: 0.8422621093050735, min values: -2.419133598913117, max values: 3.241738645014612, median values: 0.4970528470853653, and quantile values: 0.25 -0.213076\n0.50 0.497053\n0.75 1.031967\nName: 3871, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2498860331361976, std values: 0.8392562405268067, min values: -2.5759052915632985, max values: 3.236860296211547, median values: -0.3514329917126866, and quantile values: 0.25 -0.894452\n0.50 -0.351433\n0.75 0.323612\nName: 3872, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17861919715227098, std values: 1.0211508326046677, min values: -2.873069976951463, max values: 3.280245386470253, median values: -0.1034195759990753, and quantile values: 0.25 -0.728002\n0.50 -0.103420\n0.75 0.500907\nName: 3873, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.313402855523158, std values: 1.6630021794022902, min values: -3.05087304133376, max values: 5.0, median values: -2.019656513402239, and quantile values: 0.25 -2.298133\n0.50 -2.019657\n0.75 -1.487054\nName: 3874, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33129806654967914, std values: 0.9824851803748222, min values: -2.087432639025188, max values: 6.0, median values: 0.3672149702422755, and quantile values: 0.25 -0.419363\n0.50 0.367215\n0.75 1.099714\nName: 3875, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4254006652232816, std values: 0.880477881103508, min values: -2.073524544085168, max values: 5.0, median values: 0.5107667526068288, and quantile values: 0.25 -0.153564\n0.50 0.510767\n0.75 1.059950\nName: 3876, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27362949547018023, std values: 1.0458573484028075, min values: -3.760287110694257, max values: 3.784832159836258, median values: 0.354297690015132, and quantile values: 0.25 -0.437021\n0.50 0.354298\n0.75 0.977807\nName: 3877, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4105883580690074, std values: 0.9788845190091545, min values: -2.087432639025188, max values: 4.0, median values: 0.41569761071435, and quantile values: 0.25 -0.332414\n0.50 0.415698\n0.75 1.165889\nName: 3878, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5779290087374775, std values: 0.8660147757390895, min values: -2.162694153813029, max values: 4.0, median values: -0.7319392155872768, and quantile values: 0.25 -1.258042\n0.50 -0.731939\n0.75 -0.026716\nName: 3879, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05716163318504591, std values: 0.8492432053943121, min values: -2.6652153608723106, max values: 3.155379154255993, median values: -0.1324559073918004, and quantile values: 0.25 -0.664154\n0.50 -0.132456\n0.75 0.489392\nName: 3880, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.48974456074595796, std values: 1.3210580524037672, min values: -2.960014365184806, max values: 6.0, median values: -0.4916314886775335, and quantile values: 0.25 -1.520586\n0.50 -0.491631\n0.75 0.405800\nName: 3881, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11974339240281245, std values: 0.9933090905117826, min values: -2.981718296512785, max values: 5.0, median values: 0.251840205412131, and quantile values: 0.25 -0.318658\n0.50 0.251840\n0.75 0.741064\nName: 3882, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3672202922023143, std values: 0.8149512791867894, min values: -2.745904427753044, max values: 5.0, median values: -0.4557014178826209, and quantile values: 0.25 -1.009663\n0.50 -0.455701\n0.75 0.160888\nName: 3883, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3077960306676609, std values: 1.0586381611083873, min values: -2.5293911731823453, max values: 3.405671179043623, median values: -0.2812323540094937, and quantile values: 0.25 -0.892927\n0.50 -0.281232\n0.75 0.374481\nName: 3884, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37446109095417, std values: 1.0633151632624633, min values: -2.92272757463548, max values: 6.0, median values: -0.2453550590150885, and quantile values: 0.25 -1.097902\n0.50 -0.245355\n0.75 0.331216\nName: 3885, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45858575509956095, std values: 0.7921605669322325, min values: -2.5906203367024587, max values: 3.405671179043623, median values: 0.4597686781946969, and quantile values: 0.25 -0.017538\n0.50 0.459769\n0.75 0.956996\nName: 3886, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3192153516387049, std values: 0.8590908428233193, min values: -2.525881048269423, max values: 3.0, median values: -0.3676423004488141, and quantile values: 0.25 -1.016749\n0.50 -0.367642\n0.75 0.285819\nName: 3887, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3241897383682918, std values: 0.7486861671661448, min values: -2.27710446206836, max values: 4.026668017837955, median values: 0.3673476688001352, and quantile values: 0.25 -0.167754\n0.50 0.367348\n0.75 0.825683\nName: 3888, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09301576927600123, std values: 1.040790563442097, min values: -2.608390851963037, max values: 5.0, median values: 0.0652301926464639, and quantile values: 0.25 -0.649801\n0.50 0.065230\n0.75 0.816809\nName: 3889, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.008685470362541841, std values: 1.068337750173629, min values: -2.6023368942328267, max values: 3.867701659180865, median values: -0.1830020219280612, and quantile values: 0.25 -0.739810\n0.50 -0.183002\n0.75 0.617715\nName: 3890, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25754795676717507, std values: 1.0051219269116003, min values: -2.726850559923524, max values: 4.0, median values: -0.2715044517569948, and quantile values: 0.25 -1.125177\n0.50 -0.271504\n0.75 0.478399\nName: 3891, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12297910890732691, std values: 0.8172563074343103, min values: -2.1269862447630747, max values: 3.415255285860171, median values: 0.0614237309668366, and quantile values: 0.25 -0.440872\n0.50 0.061424\n0.75 0.661478\nName: 3892, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1563447469506123, std values: 0.8152618716179979, min values: -2.564449278715455, max values: 4.278004674434932, median values: 0.2259400119171709, and quantile values: 0.25 -0.351835\n0.50 0.225940\n0.75 0.715514\nName: 3893, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02569236604831674, std values: 0.8904986966232515, min values: -2.947062251106049, max values: 3.8226908388056136, median values: 0.1092190888919135, and quantile values: 0.25 -0.558585\n0.50 0.109219\n0.75 0.662850\nName: 3894, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3621250841166678, std values: 0.8616717209513884, min values: -2.45229857681487, max values: 3.306454397423372, median values: 0.4309779870706864, and quantile values: 0.25 -0.243602\n0.50 0.430978\n0.75 1.025964\nName: 3895, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29195545077968826, std values: 0.9234446829228552, min values: -2.730840794324401, max values: 3.9905524164385566, median values: 0.4105089326735, and quantile values: 0.25 -0.296968\n0.50 0.410509\n0.75 0.909897\nName: 3896, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07294537057150491, std values: 0.9512647678820065, min values: -2.64479559868397, max values: 6.0, median values: -0.1304295446388103, and quantile values: 0.25 -0.706634\n0.50 -0.130430\n0.75 0.570150\nName: 3897, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37467936219474474, std values: 1.1372367187980064, min values: -2.8246479422601736, max values: 6.0, median values: -0.2109915443373898, and quantile values: 0.25 -1.111640\n0.50 -0.210992\n0.75 0.388308\nName: 3898, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2079156638175146, std values: 0.9039974931964565, min values: -2.476285024008804, max values: 3.4758930087721422, median values: -0.3515426536186213, and quantile values: 0.25 -0.872697\n0.50 -0.351543\n0.75 0.330542\nName: 3899, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.007125185599833346, std values: 0.9332631870690882, min values: -2.406541011733012, max values: 3.2328207660681025, median values: -0.1097897280995403, and quantile values: 0.25 -0.681315\n0.50 -0.109790\n0.75 0.655526\nName: 3900, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24819509450916868, std values: 1.0387132099952956, min values: -2.5953860446419177, max values: 3.096891534584617, median values: 0.4286433169450349, and quantile values: 0.25 -0.315324\n0.50 0.428643\n0.75 0.961751\nName: 3901, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0805246875140538, std values: 0.9510551550971831, min values: -2.6072570508709387, max values: 4.0, median values: 0.1910111605765716, and quantile values: 0.25 -0.546107\n0.50 0.191011\n0.75 0.787691\nName: 3902, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19036262387468314, std values: 0.8752718846968834, min values: -2.147228856409125, max values: 2.9534763778843827, median values: -0.2741527165070568, and quantile values: 0.25 -0.894323\n0.50 -0.274153\n0.75 0.404614\nName: 3903, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2540700181636805, std values: 0.825833781080731, min values: -2.2065783767301927, max values: 6.0, median values: 0.2441723491063366, and quantile values: 0.25 -0.255232\n0.50 0.244172\n0.75 0.737458\nName: 3904, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34267360311099354, std values: 0.8343196856435309, min values: -3.00972886875607, max values: 3.0, median values: -0.3759641759662324, and quantile values: 0.25 -0.888750\n0.50 -0.375964\n0.75 0.150982\nName: 3905, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8036185487488776, std values: 0.9450921524006358, min values: -2.028356248468432, max values: 3.670892362631932, median values: 0.9010803602456218, and quantile values: 0.25 0.153899\n0.50 0.901080\n0.75 1.542731\nName: 3906, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1366296220188164, std values: 0.840937686648297, min values: -2.6668673616981367, max values: 4.0, median values: 0.1604412354637235, and quantile values: 0.25 -0.353975\n0.50 0.160441\n0.75 0.640205\nName: 3907, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23164531311849854, std values: 0.8101282555953558, min values: -2.0632349629260616, max values: 3.050873041333768, median values: 0.2249795722467686, and quantile values: 0.25 -0.298975\n0.50 0.224980\n0.75 0.698587\nName: 3908, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21259935656190002, std values: 1.0026224216418582, min values: -2.5743883495350026, max values: 5.0, median values: -0.2861636259449927, and quantile values: 0.25 -0.901491\n0.50 -0.286164\n0.75 0.440099\nName: 3909, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6736372131147015, std values: 1.2093353365207353, min values: -3.00972886875607, max values: 3.5908526919299577, median values: -0.53196528050762, and quantile values: 0.25 -1.827295\n0.50 -0.531965\n0.75 0.150824\nName: 3910, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1755500797722458, std values: 0.7449276565592355, min values: -2.0708241912939487, max values: 3.434669824302974, median values: 0.2051661434481605, and quantile values: 0.25 -0.317785\n0.50 0.205166\n0.75 0.650379\nName: 3911, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1595912534778108, std values: 0.9097403050964897, min values: -2.837386543755612, max values: 5.0, median values: -0.0804914153322579, and quantile values: 0.25 -0.662232\n0.50 -0.080491\n0.75 0.398983\nName: 3912, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2851970872590122, std values: 0.7700205822023892, min values: -2.158148574998896, max values: 3.405671179043623, median values: -0.3610780896203366, and quantile values: 0.25 -0.806696\n0.50 -0.361078\n0.75 0.161245\nName: 3913, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8279472033476066, std values: 1.3701727961028218, min values: -3.0484008792629496, max values: 5.0, median values: -1.0164723109774287, and quantile values: 0.25 -2.017385\n0.50 -1.016472\n0.75 0.096436\nName: 3914, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.004597120464280049, std values: 0.782510999288059, min values: -2.058629196027331, max values: 3.05919958255637, median values: -0.0593821003858758, and quantile values: 0.25 -0.557395\n0.50 -0.059382\n0.75 0.504846\nName: 3915, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45824350226107124, std values: 0.8936803803972064, min values: -2.6117120822772133, max values: 5.0, median values: 0.3631379085930442, and quantile values: 0.25 -0.122359\n0.50 0.363138\n0.75 0.959755\nName: 3916, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10006343181474354, std values: 0.8105227612362791, min values: -2.394318853657038, max values: 5.0, median values: -0.0689254814452396, and quantile values: 0.25 -0.626693\n0.50 -0.068925\n0.75 0.439058\nName: 3917, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4544941693154865, std values: 1.0769864069802457, min values: -2.5569229852416258, max values: 4.0, median values: 0.5543440950534885, and quantile values: 0.25 -0.400673\n0.50 0.554344\n0.75 1.371473\nName: 3918, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.158101522065547, std values: 0.8080383016503678, min values: -2.57895707818966, max values: 6.0, median values: 0.1638556238210435, and quantile values: 0.25 -0.288858\n0.50 0.163856\n0.75 0.649257\nName: 3919, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35769814395670924, std values: 0.9269621885033491, min values: -2.256434262240498, max values: 3.5581019918925243, median values: 0.460869246064127, and quantile values: 0.25 -0.312257\n0.50 0.460869\n0.75 1.023701\nName: 3920, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46483168053949325, std values: 1.309384329749844, min values: -3.124705982383478, max values: 3.3636961113187773, median values: -0.1988638225940037, and quantile values: 0.25 -1.738301\n0.50 -0.198864\n0.75 0.462740\nName: 3921, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3499454228480843, std values: 0.8426127969645434, min values: -1.907908061366769, max values: 5.0, median values: 0.3547785841998925, and quantile values: 0.25 -0.199780\n0.50 0.354779\n0.75 0.914637\nName: 3922, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28162387276987627, std values: 1.0683866751896218, min values: -3.00972886875607, max values: 3.0876051304901218, median values: -0.3096847468983554, and quantile values: 0.25 -0.954272\n0.50 -0.309685\n0.75 0.464262\nName: 3923, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.008360477218809028, std values: 0.8535842846219082, min values: -2.9278427058120164, max values: 6.0, median values: 0.0389358644234741, and quantile values: 0.25 -0.621753\n0.50 0.038936\n0.75 0.587600\nName: 3924, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6315898520457099, std values: 0.9651326178168719, min values: -2.572123985342288, max values: 4.0, median values: 0.7241496727786071, and quantile values: 0.25 -0.057092\n0.50 0.724150\n0.75 1.397479\nName: 3925, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3049403201004541, std values: 0.8858446440081704, min values: -2.8680719719444903, max values: 3.236860296211547, median values: -0.2760182030468715, and quantile values: 0.25 -0.887107\n0.50 -0.276018\n0.75 0.246982\nName: 3926, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23997667081247975, std values: 0.8561174870574497, min values: -2.073524544085168, max values: 6.0, median values: 0.3151290971201132, and quantile values: 0.25 -0.383089\n0.50 0.315129\n0.75 0.867049\nName: 3927, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25609643159061707, std values: 0.9894453509322406, min values: -2.180743777608417, max values: 4.0, median values: -0.3266500745407046, and quantile values: 0.25 -1.089563\n0.50 -0.326650\n0.75 0.390297\nName: 3928, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5303133939178591, std values: 0.8496765675322232, min values: -2.372076663517027, max values: 4.0, median values: -0.6413142636712658, and quantile values: 0.25 -1.174419\n0.50 -0.641314\n0.75 0.000236\nName: 3929, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12608016588999454, std values: 0.8256157697922534, min values: -2.579952672199424, max values: 6.0, median values: -0.2135666773420957, and quantile values: 0.25 -0.709063\n0.50 -0.213567\n0.75 0.380845\nName: 3930, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13995631474125153, std values: 0.8101650679159091, min values: -2.469941537133514, max values: 4.0, median values: -0.2102876171592358, and quantile values: 0.25 -0.700398\n0.50 -0.210288\n0.75 0.387697\nName: 3931, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37382585377530053, std values: 1.048804874501689, min values: -2.799990485600992, max values: 5.0, median values: -0.5035633868039258, and quantile values: 0.25 -1.252585\n0.50 -0.503563\n0.75 0.344082\nName: 3932, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02720728848530923, std values: 1.5034849144376625, min values: -2.6270253558526173, max values: 4.0, median values: 0.4993004389481309, and quantile values: 0.25 -1.735563\n0.50 0.499300\n0.75 1.205885\nName: 3933, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02383850513692076, std values: 1.0687491223218124, min values: -2.5820330744015787, max values: 4.0, median values: 0.1038710500331867, and quantile values: 0.25 -0.815029\n0.50 0.103871\n0.75 0.787888\nName: 3934, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1850533315795798, std values: 0.9415165278715155, min values: -2.525362520654854, max values: 5.0, median values: 0.2413360655886975, and quantile values: 0.25 -0.497775\n0.50 0.241336\n0.75 0.834305\nName: 3935, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4068389514784903, std values: 1.0114522764770049, min values: -2.788272971802125, max values: 3.528773265847577, median values: 0.5830723247876698, and quantile values: 0.25 -0.087134\n0.50 0.583072\n0.75 1.076762\nName: 3936, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1276337191713681, std values: 0.7801994758252144, min values: -2.016491303607746, max values: 3.250922035035844, median values: -0.1836121480764617, and quantile values: 0.25 -0.656367\n0.50 -0.183612\n0.75 0.363844\nName: 3937, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2593510058310721, std values: 0.8693849821065159, min values: -2.4737574649270093, max values: 3.247416277295021, median values: 0.2854094355060799, and quantile values: 0.25 -0.391674\n0.50 0.285409\n0.75 0.885917\nName: 3938, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06853060649473497, std values: 0.9954662008119375, min values: -2.733804248449497, max values: 3.0, median values: 0.1192105790814965, and quantile values: 0.25 -0.585670\n0.50 0.119211\n0.75 0.736519\nName: 3939, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13346734606458033, std values: 0.804699238300638, min values: -1.9937235194808696, max values: 3.124705982383484, median values: -0.1529137770778029, and quantile values: 0.25 -0.669933\n0.50 -0.152914\n0.75 0.346635\nName: 3940, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4450861789784673, std values: 1.1053294188070757, min values: -2.93129584560762, max values: 6.0, median values: 0.4599523425368834, and quantile values: 0.25 -0.167474\n0.50 0.459952\n0.75 1.205117\nName: 3941, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32797864200428795, std values: 0.9106644135756734, min values: -2.688157591415518, max values: 5.0, median values: -0.3987626273872164, and quantile values: 0.25 -0.931600\n0.50 -0.398763\n0.75 0.219221\nName: 3942, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10856818099831315, std values: 0.994023127375236, min values: -2.63315074164461, max values: 6.0, median values: -0.171309912836193, and quantile values: 0.25 -0.751430\n0.50 -0.171310\n0.75 0.568372\nName: 3943, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07163004659888843, std values: 0.7631538551399861, min values: -2.623568901859613, max values: 4.0, median values: 0.1297427729001879, and quantile values: 0.25 -0.430214\n0.50 0.129743\n0.75 0.575208\nName: 3944, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49654383780805905, std values: 0.8891832834044833, min values: -2.634033912458615, max values: 4.0, median values: -0.6483847589087637, and quantile values: 0.25 -1.219557\n0.50 -0.648385\n0.75 0.098431\nName: 3945, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10144944173945819, std values: 0.9229752938634067, min values: -2.044138536277291, max values: 3.066111439712683, median values: -0.09413049892367, and quantile values: 0.25 -0.835866\n0.50 -0.094130\n0.75 0.585119\nName: 3946, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17814031437999556, std values: 0.8841533764339181, min values: -2.087432639025188, max values: 4.0, median values: -0.2932861360521911, and quantile values: 0.25 -0.837039\n0.50 -0.293286\n0.75 0.351308\nName: 3947, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06768896917770248, std values: 0.7622625914275144, min values: -2.196708653609315, max values: 6.0, median values: -0.1011862759121502, and quantile values: 0.25 -0.560583\n0.50 -0.101186\n0.75 0.362520\nName: 3948, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10725658232050918, std values: 0.889268776073231, min values: -2.103766579362726, max values: 5.0, median values: -0.1893987438842911, and quantile values: 0.25 -0.722805\n0.50 -0.189399\n0.75 0.467582\nName: 3949, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.558987743986831, std values: 0.848537376235894, min values: -2.601639132009086, max values: 6.0, median values: 0.6171849786755087, and quantile values: 0.25 -0.025197\n0.50 0.617185\n0.75 1.158784\nName: 3950, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10392250349285823, std values: 0.7857528596703884, min values: -2.72346435408924, max values: 4.0, median values: 0.1072221304735581, and quantile values: 0.25 -0.406904\n0.50 0.107222\n0.75 0.599918\nName: 3951, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2002641748801933, std values: 1.0066895992580536, min values: -2.6320986139293034, max values: 3.496479817235339, median values: -0.2267028624630016, and quantile values: 0.25 -0.873968\n0.50 -0.226703\n0.75 0.461392\nName: 3952, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1110682404046513, std values: 0.8635260770198026, min values: -2.2295917953092714, max values: 3.258347009006034, median values: -0.1484481531361188, and quantile values: 0.25 -0.721789\n0.50 -0.148448\n0.75 0.465158\nName: 3953, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15670855591355384, std values: 0.8103660146011191, min values: -1.8564274090821828, max values: 6.0, median values: 0.0757780326694683, and quantile values: 0.25 -0.400075\n0.50 0.075778\n0.75 0.653956\nName: 3954, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19950877880097534, std values: 1.3345728961852141, min values: -3.0148736195915964, max values: 3.2071942083719924, median values: 0.0702996082261723, and quantile values: 0.25 -1.104663\n0.50 0.070300\n0.75 0.836921\nName: 3955, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5856273168410981, std values: 0.871845981300588, min values: -1.9570585542689607, max values: 5.0, median values: 0.5397683928438628, and quantile values: 0.25 -0.037049\n0.50 0.539768\n0.75 1.183676\nName: 3956, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21774023569807516, std values: 1.0228696231859489, min values: -2.673124659932621, max values: 6.0, median values: -0.3305166205313877, and quantile values: 0.25 -0.961590\n0.50 -0.330517\n0.75 0.506542\nName: 3957, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2895696445553539, std values: 0.7887136891558032, min values: -2.662750916816848, max values: 5.0, median values: 0.312054767700313, and quantile values: 0.25 -0.235216\n0.50 0.312055\n0.75 0.844411\nName: 3958, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1811869852931801, std values: 1.1559749196312086, min values: -2.981718296512785, max values: 5.0, median values: -0.0851165235058301, and quantile values: 0.25 -0.975808\n0.50 -0.085117\n0.75 0.712714\nName: 3959, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.292463440649387, std values: 1.067777802476093, min values: -2.838932175687192, max values: 4.0, median values: -0.0822976541947562, and quantile values: 0.25 -0.844607\n0.50 -0.082298\n0.75 0.381919\nName: 3960, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14821601771284787, std values: 0.7544596866807657, min values: -2.6850842010492566, max values: 6.0, median values: 0.0829884921806247, and quantile values: 0.25 -0.321582\n0.50 0.082988\n0.75 0.600219\nName: 3961, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0024848932188101386, std values: 0.9716299612498334, min values: -2.622709665346679, max values: 3.241738645014612, median values: 0.0603518724807253, and quantile values: 0.25 -0.543168\n0.50 0.060352\n0.75 0.623848\nName: 3962, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0007242523562089744, std values: 1.1496263609887556, min values: -3.0148736195915964, max values: 3.709787027503053, median values: 0.0932074615676996, and quantile values: 0.25 -0.652831\n0.50 0.093207\n0.75 0.790331\nName: 3963, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.046910991685147625, std values: 1.1482555842317876, min values: -2.842989614395848, max values: 5.0, median values: -0.0244022529553691, and quantile values: 0.25 -0.866648\n0.50 -0.024402\n0.75 0.876369\nName: 3964, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37922388911818317, std values: 0.7817044981603349, min values: -2.783691185534105, max values: 3.4758930087721422, median values: 0.4627091746202563, and quantile values: 0.25 -0.121221\n0.50 0.462709\n0.75 0.900356\nName: 3965, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2446011636174332, std values: 0.9662746084254998, min values: -3.447534482420193, max values: 2.531081679047086, median values: -0.364207952888959, and quantile values: 0.25 -1.026364\n0.50 -0.364208\n0.75 0.423457\nName: 3966, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8148873991607954, std values: 0.8761202957211222, min values: -2.623568901859613, max values: 4.0, median values: -1.024026208438931, and quantile values: 0.25 -1.488627\n0.50 -1.024026\n0.75 -0.258285\nName: 3967, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.316018965360305, std values: 1.3944952808244584, min values: -3.5186644300181262, max values: 4.278004674434932, median values: -1.812864131583382, and quantile values: 0.25 -2.054976\n0.50 -1.812864\n0.75 -1.630658\nName: 3968, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10656877048671409, std values: 0.8158741553644893, min values: -2.9898739724800576, max values: 3.3337116327022187, median values: 0.0503154475792406, and quantile values: 0.25 -0.426803\n0.50 0.050315\n0.75 0.608446\nName: 3969, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12975040894724552, std values: 1.1205162971318794, min values: -3.101800431129944, max values: 6.0, median values: 0.2600447639494809, and quantile values: 0.25 -0.541519\n0.50 0.260045\n0.75 0.957743\nName: 3970, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41231412593339173, std values: 0.977279664721547, min values: -2.5293911731823453, max values: 3.0, median values: -0.3402570864007604, and quantile values: 0.25 -0.929122\n0.50 -0.340257\n0.75 0.185839\nName: 3971, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15709005954267194, std values: 0.8912838998723923, min values: -2.525881048269423, max values: 3.2936960268109283, median values: -0.2756499390287046, and quantile values: 0.25 -0.787498\n0.50 -0.275650\n0.75 0.385795\nName: 3972, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.056988798376670896, std values: 0.9916551186211722, min values: -2.240740315114864, max values: 4.0, median values: -0.0059086604970539, and quantile values: 0.25 -0.707250\n0.50 -0.005909\n0.75 0.760961\nName: 3973, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08715265958604772, std values: 0.8099213990360619, min values: -2.299460330888208, max values: 4.0, median values: 0.0061922797429396, and quantile values: 0.25 -0.475718\n0.50 0.006192\n0.75 0.597052\nName: 3974, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5340506790239481, std values: 0.8676826583968964, min values: -2.7230534645798463, max values: 3.721862465295849, median values: -0.5151329504174047, and quantile values: 0.25 -1.125613\n0.50 -0.515133\n0.75 -0.003139\nName: 3975, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01754372474995708, std values: 1.0663116531466315, min values: -2.2325778472988183, max values: 4.0, median values: -0.1807193054512662, and quantile values: 0.25 -0.783201\n0.50 -0.180719\n0.75 0.645180\nName: 3976, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6464375992802823, std values: 0.8085321142796216, min values: -2.558791007225312, max values: 3.5021977227593246, median values: -0.7621932539602418, and quantile values: 0.25 -1.217422\n0.50 -0.762193\n0.75 -0.190048\nName: 3977, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.126273759154408, std values: 1.0826742028456289, min values: -2.688157591415518, max values: 5.0, median values: 0.1422140484385612, and quantile values: 0.25 -0.514566\n0.50 0.142214\n0.75 0.783426\nName: 3978, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4540135841849232, std values: 0.717413733564838, min values: -1.9747693435316869, max values: 4.243835016543704, median values: 0.5129015125585524, and quantile values: 0.25 0.024866\n0.50 0.512902\n0.75 0.907380\nName: 3979, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9125605882764033, std values: 1.4007431188678348, min values: -2.727901130262228, max values: 4.0, median values: -1.6207345438050902, and quantile values: 0.25 -2.140406\n0.50 -1.620735\n0.75 0.324251\nName: 3980, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3370687331553582, std values: 0.9694922301927731, min values: -2.607565022042742, max values: 4.0, median values: -0.2480612537228534, and quantile values: 0.25 -0.993339\n0.50 -0.248061\n0.75 0.353301\nName: 3981, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.025764089205886086, std values: 0.8561666645628389, min values: -2.572123985342288, max values: 5.0, median values: -0.0313917769731303, and quantile values: 0.25 -0.547450\n0.50 -0.031392\n0.75 0.482769\nName: 3982, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21430985260271818, std values: 0.8408248958837002, min values: -3.3690402064071137, max values: 3.721862465295849, median values: 0.2664553379269475, and quantile values: 0.25 -0.243974\n0.50 0.266455\n0.75 0.722576\nName: 3983, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07369570412914424, std values: 1.1226995812008633, min values: -2.869671295224012, max values: 6.0, median values: 0.2011062279701956, and quantile values: 0.25 -0.605235\n0.50 0.201106\n0.75 0.920459\nName: 3984, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7661956979250302, std values: 0.778594733082463, min values: -2.8680719719444903, max values: 2.7702859996538067, median values: -0.8990982923127311, and quantile values: 0.25 -1.346242\n0.50 -0.899098\n0.75 -0.347825\nName: 3985, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7841252655150767, std values: 1.619299626124806, min values: -2.9622221028070275, max values: 6.0, median values: -1.2492329803191242, and quantile values: 0.25 -2.189739\n0.50 -1.249233\n0.75 0.643028\nName: 3986, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28465074529932094, std values: 0.8419516108986927, min values: -2.732564679617164, max values: 3.0, median values: -0.3710860246414107, and quantile values: 0.25 -0.899612\n0.50 -0.371086\n0.75 0.261854\nName: 3987, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08478592871866752, std values: 0.7156322295252645, min values: -2.057255943140409, max values: 2.9166889260756235, median values: -0.1307148570960057, and quantile values: 0.25 -0.529431\n0.50 -0.130715\n0.75 0.325254\nName: 3988, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0814961638646347, std values: 0.9806350993326568, min values: -2.5820330744015787, max values: 4.0, median values: -0.0115811660672632, and quantile values: 0.25 -0.567872\n0.50 -0.011581\n0.75 0.720253\nName: 3989, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0914914867780758, std values: 1.0087105183126102, min values: -2.6800544037614658, max values: 4.0, median values: 0.251717165355465, and quantile values: 0.25 -0.493286\n0.50 0.251717\n0.75 0.809277\nName: 3990, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14998861325554708, std values: 0.7475561424666979, min values: -2.2065783767301927, max values: 6.0, median values: -0.1507425963664323, and quantile values: 0.25 -0.662095\n0.50 -0.150743\n0.75 0.336524\nName: 3991, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0025206973421858883, std values: 0.8592474415142874, min values: -2.657750824678472, max values: 5.0, median values: 0.0380134362346464, and quantile values: 0.25 -0.473156\n0.50 0.038013\n0.75 0.508540\nName: 3992, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.250574315725935, std values: 0.9156972677114321, min values: -2.919359491767569, max values: 6.0, median values: 0.2198092375426505, and quantile values: 0.25 -0.342723\n0.50 0.219809\n0.75 0.864885\nName: 3993, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08207889517093396, std values: 0.9381242373123944, min values: -2.196708653609315, max values: 6.0, median values: -0.0639275814131103, and quantile values: 0.25 -0.637777\n0.50 -0.063928\n0.75 0.733682\nName: 3994, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12689241696189252, std values: 0.8116198304175538, min values: -2.240740315114864, max values: 4.0, median values: 0.0618376059385235, and quantile values: 0.25 -0.409704\n0.50 0.061838\n0.75 0.647947\nName: 3995, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1389244565539299, std values: 0.7764299872293553, min values: -2.838932175687192, max values: 4.0, median values: -0.2118744040147675, and quantile values: 0.25 -0.697733\n0.50 -0.211874\n0.75 0.354444\nName: 3996, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4111846248582644, std values: 0.8007563308132432, min values: -2.919359491767569, max values: 5.0, median values: -0.4668700097449231, and quantile values: 0.25 -0.947431\n0.50 -0.466870\n0.75 0.025835\nName: 3997, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20979924405862574, std values: 0.867828376388215, min values: -2.7314147016889114, max values: 3.5908526919299577, median values: -0.3538474582984167, and quantile values: 0.25 -0.835393\n0.50 -0.353847\n0.75 0.333463\nName: 3998, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40370886007082185, std values: 0.9110166318052789, min values: -2.8531572940820533, max values: 3.0, median values: -0.4890790096589095, and quantile values: 0.25 -0.983062\n0.50 -0.489079\n0.75 0.160943\nName: 3999, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.316959447650959, std values: 0.780384890445849, min values: -2.279638670509252, max values: 6.0, median values: 0.3338133190802906, and quantile values: 0.25 -0.153492\n0.50 0.333813\n0.75 0.807114\nName: 4000, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09801623543528473, std values: 0.7853186514220586, min values: -2.4540853055744134, max values: 3.415255285860171, median values: 0.0922580077701519, and quantile values: 0.25 -0.406031\n0.50 0.092258\n0.75 0.578135\nName: 4001, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17490264351666254, std values: 0.9255237575522368, min values: -2.4823451998031074, max values: 3.162318759909359, median values: 0.1366611796820452, and quantile values: 0.25 -0.405301\n0.50 0.136661\n0.75 0.818427\nName: 4002, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.214674620554117, std values: 1.0046971025235727, min values: -2.5293911731823453, max values: 3.1395741599540568, median values: -0.2285099208324332, and quantile values: 0.25 -0.842046\n0.50 -0.228510\n0.75 0.460291\nName: 4003, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0597273872574062, std values: 0.8025855844674207, min values: -2.9797100147087465, max values: 5.0, median values: -0.0734306671120416, and quantile values: 0.25 -0.623695\n0.50 -0.073431\n0.75 0.432601\nName: 4004, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37981356156279245, std values: 0.8581222767998845, min values: -2.2915911556076085, max values: 3.0418703198091483, median values: 0.40049268293639, and quantile values: 0.25 -0.196287\n0.50 0.400493\n0.75 0.956356\nName: 4005, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10686913465048717, std values: 0.9434144774704394, min values: -2.5961021427111413, max values: 3.0, median values: 0.0948217263399812, and quantile values: 0.25 -0.597546\n0.50 0.094822\n0.75 0.838682\nName: 4006, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08307276929534117, std values: 0.9207579820791986, min values: -2.321510952509234, max values: 3.4217036547572275, median values: 0.1258834108129541, and quantile values: 0.25 -0.581868\n0.50 0.125883\n0.75 0.750132\nName: 4007, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5203527091083956, std values: 1.1776989250604404, min values: -2.825926939679757, max values: 3.9048392686725855, median values: -0.5886150522911202, and quantile values: 0.25 -1.272155\n0.50 -0.588615\n0.75 0.176950\nName: 4008, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4318425481551609, std values: 1.0000905256639516, min values: -2.6320986139293034, max values: 3.197902420311553, median values: -0.4995034714469002, and quantile values: 0.25 -1.172349\n0.50 -0.499503\n0.75 0.262344\nName: 4009, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22760997097884614, std values: 1.0297299351866314, min values: -2.92272757463548, max values: 6.0, median values: 0.2995686324198905, and quantile values: 0.25 -0.478707\n0.50 0.299569\n0.75 1.013522\nName: 4010, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03272420076442676, std values: 1.0882381562729355, min values: -3.0363117572416627, max values: 5.0, median values: -0.0468370722159295, and quantile values: 0.25 -0.753846\n0.50 -0.046837\n0.75 0.747268\nName: 4011, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5852539802273982, std values: 0.9778856667772189, min values: -3.28024538647024, max values: 2.928515832252385, median values: 0.6222696962347588, and quantile values: 0.25 -0.077325\n0.50 0.622270\n0.75 1.382135\nName: 4012, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23303807439971766, std values: 0.9322832531112143, min values: -2.3776206456794275, max values: 3.4566816047670264, median values: -0.3371072715521555, and quantile values: 0.25 -1.010856\n0.50 -0.337107\n0.75 0.424814\nName: 4013, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5760817725087906, std values: 1.0202016834533738, min values: -2.9265160609644223, max values: 6.0, median values: -0.6450928222820405, and quantile values: 0.25 -1.307490\n0.50 -0.645093\n0.75 0.141055\nName: 4014, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2815459666765382, std values: 1.1397745151054988, min values: -2.982771139679002, max values: 4.0, median values: 0.3934102754530331, and quantile values: 0.25 -0.481230\n0.50 0.393410\n0.75 1.180138\nName: 4015, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5715978014609054, std values: 0.9707147204071802, min values: -2.8350118695332047, max values: 5.0, median values: -0.7140564636988669, and quantile values: 0.25 -1.330595\n0.50 -0.714056\n0.75 0.018341\nName: 4016, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15900269695812058, std values: 1.162894393961013, min values: -2.92272757463548, max values: 6.0, median values: -0.0824910848575168, and quantile values: 0.25 -0.916102\n0.50 -0.082491\n0.75 0.787174\nName: 4017, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.61889875898427, std values: 0.8996413709101502, min values: -2.408685046935496, max values: 3.0, median values: -0.7713178285082286, and quantile values: 0.25 -1.350234\n0.50 -0.771318\n0.75 -0.036553\nName: 4018, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38141700925997685, std values: 0.7610757896518606, min values: -2.525881048269423, max values: 3.147276669305989, median values: 0.4040557583362384, and quantile values: 0.25 -0.103844\n0.50 0.404056\n0.75 0.893132\nName: 4019, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.229976636393232, std values: 0.8273592168035293, min values: -2.048935494746508, max values: 2.828252328349424, median values: 0.2696476558454491, and quantile values: 0.25 -0.370200\n0.50 0.269648\n0.75 0.823743\nName: 4020, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03483447493777065, std values: 1.015446275190935, min values: -2.7648443048846945, max values: 3.438667023696733, median values: -0.1782653212750686, and quantile values: 0.25 -0.840719\n0.50 -0.178265\n0.75 0.702766\nName: 4021, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43116534898481546, std values: 0.8399822211107495, min values: -2.4902145713898545, max values: 3.397048482165858, median values: -0.5377462710272125, and quantile values: 0.25 -1.034033\n0.50 -0.537746\n0.75 0.136534\nName: 4022, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1403817765396839, std values: 0.9509416588296601, min values: -2.608390851963037, max values: 5.0, median values: -0.1356992229656261, and quantile values: 0.25 -0.736880\n0.50 -0.135699\n0.75 0.440307\nName: 4023, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15428480271362535, std values: 0.849902616268894, min values: -2.00814811734828, max values: 6.0, median values: 0.1562860967884114, and quantile values: 0.25 -0.462026\n0.50 0.156286\n0.75 0.813909\nName: 4024, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36768221705004595, std values: 0.8884261876197288, min values: -2.7542003929097176, max values: 5.0, median values: -0.372774029037796, and quantile values: 0.25 -0.921832\n0.50 -0.372774\n0.75 0.172085\nName: 4025, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39847080493925663, std values: 0.9685015192446997, min values: -2.4536054974529624, max values: 6.0, median values: 0.4278283525678695, and quantile values: 0.25 -0.308306\n0.50 0.427828\n0.75 1.163606\nName: 4026, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3143328521138104, std values: 0.7875293952094786, min values: -2.475778245535816, max values: 3.5427287984042666, median values: 0.2865366198611067, and quantile values: 0.25 -0.187310\n0.50 0.286537\n0.75 0.828911\nName: 4027, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.353959283194228, std values: 0.8500809079566822, min values: -2.0792309011718992, max values: 2.9804248838044773, median values: -0.4717514255071879, and quantile values: 0.25 -1.005614\n0.50 -0.471751\n0.75 0.189974\nName: 4028, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.006500103786688922, std values: 0.8115923141461205, min values: -3.066111439712689, max values: 3.630507857092792, median values: -0.002561158914487, and quantile values: 0.25 -0.544509\n0.50 -0.002561\n0.75 0.473094\nName: 4029, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4856132117509797, std values: 0.8732044753864688, min values: -2.087432639025188, max values: 4.278004674434932, median values: 0.5270979735059002, and quantile values: 0.25 -0.091807\n0.50 0.527098\n0.75 1.103968\nName: 4030, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5131986601783353, std values: 0.8159648156085876, min values: -1.88526892113882, max values: 6.0, median values: 0.5595604461401561, and quantile values: 0.25 -0.048791\n0.50 0.559560\n0.75 1.087843\nName: 4031, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41715467767589565, std values: 0.9945810942408992, min values: -2.5122218748354936, max values: 3.518664430018096, median values: 0.5401512045823681, and quantile values: 0.25 -0.092875\n0.50 0.540151\n0.75 1.144684\nName: 4032, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33302997342181706, std values: 0.8222567583499301, min values: -2.2915911556076085, max values: 3.627976272701048, median values: 0.3894297501414331, and quantile values: 0.25 -0.237029\n0.50 0.389430\n0.75 0.946771\nName: 4033, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02675924514139412, std values: 0.7718152170921994, min values: -2.1227739687253626, max values: 3.216771431244405, median values: 0.0123930081026785, and quantile values: 0.25 -0.513750\n0.50 0.012393\n0.75 0.426018\nName: 4034, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.025542534533914425, std values: 0.863823615915422, min values: -2.0257743994943773, max values: 6.0, median values: -0.1209245738535762, and quantile values: 0.25 -0.632514\n0.50 -0.120925\n0.75 0.522081\nName: 4035, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37116340090779926, std values: 0.9057669026686926, min values: -2.6605858692952262, max values: 3.319774799707247, median values: -0.3159604598426342, and quantile values: 0.25 -1.018274\n0.50 -0.315960\n0.75 0.217195\nName: 4036, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07336408842078153, std values: 0.8034161437836189, min values: -2.1139459297101, max values: 4.0, median values: 0.1198343502128167, and quantile values: 0.25 -0.489141\n0.50 0.119834\n0.75 0.592596\nName: 4037, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.053452883117962174, std values: 0.833367428227088, min values: -2.7542003929097176, max values: 5.0, median values: -9.453801800396874e-05, and quantile values: 0.25 -0.436899\n0.50 -0.000095\n0.75 0.584657\nName: 4038, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20215337502065864, std values: 0.778697688468801, min values: -2.490739859040137, max values: 3.598076523509904, median values: 0.195360209488016, and quantile values: 0.25 -0.294350\n0.50 0.195360\n0.75 0.672417\nName: 4039, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4845535160177273, std values: 0.9732896663999834, min values: -3.0687217584296813, max values: 4.026668017837955, median values: 0.6403275361247424, and quantile values: 0.25 -0.033756\n0.50 0.640328\n0.75 1.166823\nName: 4040, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9186019354871829, std values: 1.5977959438218563, min values: -3.530441124712342, max values: 4.278004674434932, median values: -1.6950605904081808, and quantile values: 0.25 -2.015021\n0.50 -1.695061\n0.75 0.160832\nName: 4041, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38136785897726816, std values: 0.8533689927407396, min values: -2.264034258932616, max values: 3.667275230673496, median values: -0.4442428747058606, and quantile values: 0.25 -0.976265\n0.50 -0.444243\n0.75 0.085614\nName: 4042, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21184051116008124, std values: 1.016651292561536, min values: -2.64479559868397, max values: 6.0, median values: -0.2153079396910741, and quantile values: 0.25 -0.848193\n0.50 -0.215308\n0.75 0.430874\nName: 4043, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19839544406624196, std values: 0.7346902377513409, min values: -2.4737574649270093, max values: 3.124705982383484, median values: 0.2567041556797942, and quantile values: 0.25 -0.278229\n0.50 0.256704\n0.75 0.689362\nName: 4044, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07998174337320571, std values: 0.9779274314686995, min values: -2.174843621473063, max values: 3.1290445144064547, median values: -0.1824252461002569, and quantile values: 0.25 -0.839891\n0.50 -0.182425\n0.75 0.575923\nName: 4045, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07584547903079716, std values: 0.9035237843344305, min values: -2.799990485600992, max values: 5.0, median values: -0.1059623652771962, and quantile values: 0.25 -0.747111\n0.50 -0.105962\n0.75 0.565763\nName: 4046, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07170341796015058, std values: 0.8779372926216903, min values: -3.074005993202373, max values: 3.2936960268109283, median values: -0.0779071614278496, and quantile values: 0.25 -0.707356\n0.50 -0.077907\n0.75 0.500003\nName: 4047, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14729190813552334, std values: 0.9387728948749704, min values: -2.1307031986737024, max values: 4.0, median values: -0.0199961232562605, and quantile values: 0.25 -0.506650\n0.50 -0.019996\n0.75 0.691966\nName: 4048, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6659323045869847, std values: 0.9229412262220708, min values: -3.0960472541202715, max values: 6.0, median values: -0.7969429433116267, and quantile values: 0.25 -1.355846\n0.50 -0.796943\n0.75 -0.073901\nName: 4049, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05745632130182652, std values: 0.854664113900937, min values: -2.8843374390620142, max values: 6.0, median values: 8.261793927107517e-05, and quantile values: 0.25 -0.498568\n0.50 0.000083\n0.75 0.546808\nName: 4050, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4321285279546266, std values: 0.7643349984470758, min values: -2.439930808627264, max values: 4.0, median values: 0.471493293131047, and quantile values: 0.25 -0.065278\n0.50 0.471493\n0.75 0.917863\nName: 4051, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5003510395985512, std values: 0.9459132525906226, min values: -2.825926939679757, max values: 3.379902545505621, median values: -0.4989419791911021, and quantile values: 0.25 -1.070441\n0.50 -0.498942\n0.75 0.063407\nName: 4052, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17190999304069635, std values: 0.7775012795027565, min values: -2.2272703849889663, max values: 3.2266531185902125, median values: 0.1336596410500219, and quantile values: 0.25 -0.333116\n0.50 0.133660\n0.75 0.620086\nName: 4053, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34090572350882814, std values: 0.9145835719527285, min values: -2.136604280590623, max values: 6.0, median values: -0.4549636658089067, and quantile values: 0.25 -1.015855\n0.50 -0.454964\n0.75 0.201492\nName: 4054, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14360590616023128, std values: 0.8489933166219886, min values: -2.634919142586459, max values: 6.0, median values: 0.1947192029013586, and quantile values: 0.25 -0.270704\n0.50 0.194719\n0.75 0.662575\nName: 4055, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33923583873025775, std values: 0.8668465298883755, min values: -2.005260744944291, max values: 2.894191510795044, median values: 0.3455060934302173, and quantile values: 0.25 -0.291323\n0.50 0.345506\n0.75 1.012850\nName: 4056, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4921439264920801, std values: 1.0067839427431449, min values: -2.117042895443173, max values: 4.0, median values: 0.527505367772249, and quantile values: 0.25 -0.223152\n0.50 0.527505\n0.75 1.198014\nName: 4057, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02534627492948719, std values: 0.8557574672189217, min values: -2.180125672642997, max values: 4.0, median values: 0.0883898342251352, and quantile values: 0.25 -0.602598\n0.50 0.088390\n0.75 0.673004\nName: 4058, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2726540792883792, std values: 1.169352101678605, min values: -2.9666813816765707, max values: 4.0, median values: 0.2399027781277322, and quantile values: 0.25 -0.547130\n0.50 0.239903\n0.75 1.163142\nName: 4059, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0047689821237387455, std values: 0.8950968745035426, min values: -2.4865660028168484, max values: 3.867701659180865, median values: -0.0583613784396255, and quantile values: 0.25 -0.647102\n0.50 -0.058361\n0.75 0.627470\nName: 4060, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06459226412390197, std values: 0.7853606251880221, min values: -2.4737574649270093, max values: 3.760287110694155, median values: 0.084997373907387, and quantile values: 0.25 -0.466238\n0.50 0.084997\n0.75 0.548762\nName: 4061, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1212811899497405, std values: 1.0006158479480778, min values: -2.510124273981921, max values: 3.434669824302974, median values: -0.1779092520773435, and quantile values: 0.25 -0.755910\n0.50 -0.177909\n0.75 0.552801\nName: 4062, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.469062546084354, std values: 0.9050607024080131, min values: -2.119639300682046, max values: 5.0, median values: 0.5840038016245406, and quantile values: 0.25 -0.138524\n0.50 0.584004\n0.75 1.166869\nName: 4063, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6152342937616982, std values: 0.9697811071464498, min values: -2.6820581866633817, max values: 3.2266531185902125, median values: -0.7241138781456865, and quantile values: 0.25 -1.268276\n0.50 -0.724114\n0.75 -0.029169\nName: 4064, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3167702058374482, std values: 0.857212931663977, min values: -2.710223074556336, max values: 4.0, median values: 0.3581533523523247, and quantile values: 0.25 -0.304459\n0.50 0.358153\n0.75 0.959165\nName: 4065, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13673346963291141, std values: 0.9979250415368794, min values: -2.687115288423959, max values: 5.0, median values: -0.0542441430800116, and quantile values: 0.25 -0.761025\n0.50 -0.054244\n0.75 0.586072\nName: 4066, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4636032532775726, std values: 0.9123931328833554, min values: -2.632854336056873, max values: 3.455472209455805, median values: 0.5514856325852403, and quantile values: 0.25 -0.166079\n0.50 0.551486\n0.75 1.177392\nName: 4067, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04955003201758213, std values: 1.0434840335259001, min values: -2.643887016977268, max values: 6.0, median values: -0.0380134050525941, and quantile values: 0.25 -0.609129\n0.50 -0.038013\n0.75 0.689397\nName: 4068, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13836983557174878, std values: 1.0415180087768647, min values: -2.801183634509044, max values: 5.0, median values: 0.1415933331027581, and quantile values: 0.25 -0.604408\n0.50 0.141593\n0.75 0.923858\nName: 4069, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10096611838720565, std values: 0.8278504226700325, min values: -1.978435600463218, max values: 5.0, median values: 0.1193905578288, and quantile values: 0.25 -0.491812\n0.50 0.119391\n0.75 0.654912\nName: 4070, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09037407689314138, std values: 0.9015788340456836, min values: -2.419133598913117, max values: 3.598076523509904, median values: -0.1958514092471004, and quantile values: 0.25 -0.697663\n0.50 -0.195851\n0.75 0.396451\nName: 4071, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6045188568803209, std values: 0.8899047064260864, min values: -2.634919142586459, max values: 6.0, median values: -0.6911251690882423, and quantile values: 0.25 -1.227768\n0.50 -0.691125\n0.75 -0.069317\nName: 4072, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3103644523927393, std values: 1.0763617142924398, min values: -2.8164291268114208, max values: 3.281452258958016, median values: -0.1673354268363078, and quantile values: 0.25 -1.113055\n0.50 -0.167335\n0.75 0.500050\nName: 4073, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5781694319734275, std values: 1.0636353645065144, min values: -2.6270253558526173, max values: 4.0, median values: -0.6393704258244337, and quantile values: 0.25 -1.493231\n0.50 -0.639370\n0.75 0.195360\nName: 4074, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24697781439339148, std values: 1.1852737413273156, min values: -3.3126932323446474, max values: 3.250922035035844, median values: -0.2538874516898792, and quantile values: 0.25 -1.064016\n0.50 -0.253887\n0.75 0.661786\nName: 4075, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28606362626206755, std values: 0.8544013068197224, min values: -2.1592807923628903, max values: 2.883469967826547, median values: -0.3988809129350598, and quantile values: 0.25 -0.934525\n0.50 -0.398881\n0.75 0.273392\nName: 4076, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4834865610018544, std values: 0.9770049267023461, min values: -2.778044916685896, max values: 3.0, median values: -0.6087305570750667, and quantile values: 0.25 -1.221498\n0.50 -0.608731\n0.75 0.176565\nName: 4077, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3616510074985995, std values: 1.0969100510920986, min values: -2.58513369695146, max values: 4.0, median values: 0.2514000397508234, and quantile values: 0.25 -0.317698\n0.50 0.251400\n0.75 1.086152\nName: 4078, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10161484686695405, std values: 0.909424815257624, min values: -2.5859127503381347, max values: 3.2906806286429298, median values: 0.1540562672211003, and quantile values: 0.25 -0.445368\n0.50 0.154056\n0.75 0.708418\nName: 4079, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09044419983954788, std values: 0.8690876836849422, min values: -2.120963982024631, max values: 5.0, median values: 0.0156980531620617, and quantile values: 0.25 -0.488726\n0.50 0.015698\n0.75 0.654024\nName: 4080, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.524375909008083, std values: 1.0866401536017727, min values: -2.732564679617164, max values: 3.215720519334646, median values: 0.5924264924095622, and quantile values: 0.25 -0.320523\n0.50 0.592426\n0.75 1.421214\nName: 4081, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0009945939368612598, std values: 0.7772211412654711, min values: -2.0211405625505043, max values: 5.0, median values: -0.0282315456223876, and quantile values: 0.25 -0.533600\n0.50 -0.028232\n0.75 0.519022\nName: 4082, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4900483477938682, std values: 0.9336425675400156, min values: -2.147228856409125, max values: 3.867701659180865, median values: 0.5195362712117495, and quantile values: 0.25 -0.134220\n0.50 0.519536\n0.75 1.079027\nName: 4083, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07389997016191062, std values: 1.09750097054215, min values: -2.1317706126061804, max values: 5.0, median values: 0.0418452817381128, and quantile values: 0.25 -0.858379\n0.50 0.041845\n0.75 0.906965\nName: 4084, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3131962814195376, std values: 0.8144127136549368, min values: -2.789830374413015, max values: 3.0, median values: -0.2959615777313562, and quantile values: 0.25 -0.923424\n0.50 -0.295962\n0.75 0.229990\nName: 4085, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.192903622929842, std values: 0.9054472056752481, min values: -2.6320986139293034, max values: 3.528773265847577, median values: -0.1650737180844411, and quantile values: 0.25 -0.753091\n0.50 -0.165074\n0.75 0.364157\nName: 4086, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.47943669649838777, std values: 0.8737679189733933, min values: -2.104270394087118, max values: 6.0, median values: -0.6388486124773779, and quantile values: 0.25 -1.158150\n0.50 -0.638849\n0.75 0.082863\nName: 4087, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19744559462681455, std values: 0.8755176793236786, min values: -2.6652153608723106, max values: 5.0, median values: 0.2092178472574774, and quantile values: 0.25 -0.277688\n0.50 0.209218\n0.75 0.754505\nName: 4088, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5483177648234252, std values: 0.8551640687555759, min values: -2.104667097879677, max values: 4.0, median values: 0.620753852180133, and quantile values: 0.25 -0.019857\n0.50 0.620754\n0.75 1.142790\nName: 4089, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10330970300506855, std values: 0.7501944323243759, min values: -2.3893642989164, max values: 3.5581019918925243, median values: 0.0603281949114059, and quantile values: 0.25 -0.374723\n0.50 0.060328\n0.75 0.532701\nName: 4090, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46068596955826463, std values: 0.9444250749957951, min values: -2.947062251106049, max values: 3.434669824302974, median values: -0.5702113069930597, and quantile values: 0.25 -1.223915\n0.50 -0.570211\n0.75 0.190983\nName: 4091, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11024089327632709, std values: 0.8845698790143754, min values: -3.0687217584296813, max values: 3.076680642207697, median values: -0.1543628231203811, and quantile values: 0.25 -0.696537\n0.50 -0.154363\n0.75 0.483380\nName: 4092, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31348548366336076, std values: 0.9159558225529699, min values: -2.687115288423959, max values: 5.0, median values: -0.3392408053481452, and quantile values: 0.25 -0.866970\n0.50 -0.339241\n0.75 0.246755\nName: 4093, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2434843639178504, std values: 0.8199616850348038, min values: -2.1519703158873136, max values: 3.721862465295849, median values: 0.2245841574513967, and quantile values: 0.25 -0.304813\n0.50 0.224584\n0.75 0.762509\nName: 4094, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3956080554322827, std values: 0.7772115272892527, min values: -2.136064736636534, max values: 3.5581019918925243, median values: -0.4717395233903356, and quantile values: 0.25 -0.940647\n0.50 -0.471740\n0.75 0.016096\nName: 4095, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15114841410923466, std values: 0.9886616680490664, min values: -3.228456465836797, max values: 3.0097288687560817, median values: -0.0658460108975453, and quantile values: 0.25 -0.747034\n0.50 -0.065846\n0.75 0.551742\nName: 4096, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.47048989106024314, std values: 0.899169239922565, min values: -2.673124659932621, max values: 6.0, median values: -0.583644581568818, and quantile values: 0.25 -1.060772\n0.50 -0.583645\n0.75 0.011558\nName: 4097, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04137141812401932, std values: 0.7754663657234668, min values: -2.687115288423959, max values: 5.0, median values: 0.0939433460130886, and quantile values: 0.25 -0.490228\n0.50 0.093943\n0.75 0.553159\nName: 4098, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2840911887899641, std values: 1.0278846678781497, min values: -2.679056533720636, max values: 5.0, median values: -0.2998762004414581, and quantile values: 0.25 -1.127098\n0.50 -0.299876\n0.75 0.425021\nName: 4099, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.011166122755821926, std values: 0.8622512084765878, min values: -3.307038206418975, max values: 3.477886732511886, median values: 0.0335672990110234, and quantile values: 0.25 -0.608545\n0.50 0.033567\n0.75 0.585997\nName: 4100, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0022956315351177624, std values: 0.8000051864205978, min values: -2.7314147016889114, max values: 3.379902545505621, median values: 0.0164692536889502, and quantile values: 0.25 -0.534603\n0.50 0.016469\n0.75 0.491905\nName: 4101, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49388973255596946, std values: 1.2392593893313493, min values: -2.92272757463548, max values: 6.0, median values: 0.5387297308028584, and quantile values: 0.25 -0.302338\n0.50 0.538730\n0.75 1.475824\nName: 4102, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46481824946627787, std values: 0.8675027882601899, min values: -2.087432639025188, max values: 4.0, median values: -0.6016911597089913, and quantile values: 0.25 -1.142513\n0.50 -0.601691\n0.75 0.082519\nName: 4103, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09615877989457801, std values: 1.058257812446046, min values: -2.576018450691392, max values: 4.243835016543704, median values: -0.2019504053339014, and quantile values: 0.25 -0.864045\n0.50 -0.201950\n0.75 0.553517\nName: 4104, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35512557443336246, std values: 0.998055785036808, min values: -2.982771139679002, max values: 4.0, median values: -0.4334171252374124, and quantile values: 0.25 -1.034080\n0.50 -0.433417\n0.75 0.326725\nName: 4105, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1422198068895626, std values: 0.7593231480495484, min values: -2.091009825196596, max values: 6.0, median values: 0.1427154354331735, and quantile values: 0.25 -0.323685\n0.50 0.142715\n0.75 0.603505\nName: 4106, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.063905885818878, std values: 1.1899161356731902, min values: -2.815821936576896, max values: 4.278004674434932, median values: 0.0692340251470186, and quantile values: 0.25 -0.716582\n0.50 0.069234\n0.75 0.822928\nName: 4107, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3334881442569961, std values: 0.9334129087039572, min values: -2.100754849305273, max values: 3.216771431244405, median values: 0.394023216021569, and quantile values: 0.25 -0.374405\n0.50 0.394023\n0.75 0.995399\nName: 4108, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.009809697718928374, std values: 0.981587331447257, min values: -1.988675962110902, max values: 5.0, median values: -0.0832185049660592, and quantile values: 0.25 -0.809444\n0.50 -0.083219\n0.75 0.677535\nName: 4109, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14488760719588617, std values: 0.9905686148940942, min values: -2.7510671817729784, max values: 6.0, median values: -0.0087300731309943, and quantile values: 0.25 -0.704106\n0.50 -0.008730\n0.75 0.479161\nName: 4110, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0604052016383296, std values: 1.2655646782125838, min values: -2.727901130262228, max values: 4.0, median values: -1.6529432372278574, and quantile values: 0.25 -2.140406\n0.50 -1.652943\n0.75 -0.016690\nName: 4111, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22217682587176013, std values: 0.9231816930732709, min values: -3.0687217584296813, max values: 2.9454693771205163, median values: 0.3242507705992302, and quantile values: 0.25 -0.319784\n0.50 0.324251\n0.75 0.879531\nName: 4112, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10066969226502574, std values: 1.0379960216595667, min values: -2.130927700612447, max values: 3.0932086550988465, median values: -0.1157598413687837, and quantile values: 0.25 -0.934184\n0.50 -0.115760\n0.75 0.765230\nName: 4113, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08304752890349282, std values: 0.9149122412092631, min values: -2.1201603002813605, max values: 3.477886732511886, median values: -0.1913722172857743, and quantile values: 0.25 -0.786724\n0.50 -0.191372\n0.75 0.553924\nName: 4114, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17868842475991717, std values: 0.9021918527534617, min values: -2.90140378513671, max values: 3.867701659180865, median values: 0.1487349155575591, and quantile values: 0.25 -0.440781\n0.50 0.148735\n0.75 0.754957\nName: 4115, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06494777045116538, std values: 0.8939940571584131, min values: -3.071284484560209, max values: 3.349054967837474, median values: -0.0482330844049378, and quantile values: 0.25 -0.631542\n0.50 -0.048233\n0.75 0.563296\nName: 4116, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19826828431615826, std values: 0.7801466446551064, min values: -2.044138536277291, max values: 3.090297571450676, median values: 0.2361506723621642, and quantile values: 0.25 -0.318210\n0.50 0.236151\n0.75 0.711465\nName: 4117, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30937209218651496, std values: 0.917144687650214, min values: -2.788272971802125, max values: 6.0, median values: -0.2745699133326378, and quantile values: 0.25 -0.839723\n0.50 -0.274570\n0.75 0.229671\nName: 4118, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.002281587758466975, std values: 0.8017433917931468, min values: -2.090851036172633, max values: 6.0, median values: -0.0291927589136476, and quantile values: 0.25 -0.516140\n0.50 -0.029193\n0.75 0.461177\nName: 4119, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4019918876624455, std values: 0.8995705428742833, min values: -2.4823451998031074, max values: 3.281452258958016, median values: 0.5285650029503532, and quantile values: 0.25 -0.084570\n0.50 0.528565\n0.75 0.972693\nName: 4120, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.331576219241269, std values: 1.16476881322401, min values: -2.837386543755612, max values: 4.0, median values: -0.1077451017419456, and quantile values: 0.25 -1.108529\n0.50 -0.107745\n0.75 0.525602\nName: 4121, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17764024854344013, std values: 0.7558923842589619, min values: -2.1519703158873136, max values: 3.281452258958016, median values: -0.2417031813944735, and quantile values: 0.25 -0.689985\n0.50 -0.241703\n0.75 0.283342\nName: 4122, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5439581327040706, std values: 1.1747134207166008, min values: -2.2915911556076085, max values: 3.390469008396469, median values: 0.4816809319874924, and quantile values: 0.25 -0.400161\n0.50 0.481681\n0.75 1.560217\nName: 4123, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02738961571149593, std values: 1.1151310851974665, min values: -2.891990595045606, max values: 6.0, median values: 0.1519379324894701, and quantile values: 0.25 -0.756738\n0.50 0.151938\n0.75 0.940294\nName: 4124, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.014107338367964059, std values: 0.9752608885267736, min values: -2.955641696055872, max values: 3.379902545505621, median values: 0.0845467018927422, and quantile values: 0.25 -0.564044\n0.50 0.084547\n0.75 0.615343\nName: 4125, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17278995859616553, std values: 1.0594445869041205, min values: -2.2915911556076085, max values: 3.9905524164385566, median values: -0.1249674368734498, and quantile values: 0.25 -1.047666\n0.50 -0.124967\n0.75 0.603813\nName: 4126, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12688119505436102, std values: 0.757198100338494, min values: -2.299460330888208, max values: 4.0, median values: -0.1403281974314005, and quantile values: 0.25 -0.669657\n0.50 -0.140328\n0.75 0.384590\nName: 4127, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27609243838751496, std values: 1.3569848527508352, min values: -2.5122218748354936, max values: 3.784832159836258, median values: 0.2101186901535049, and quantile values: 0.25 -0.662918\n0.50 0.210119\n0.75 1.258481\nName: 4128, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27364382623458333, std values: 0.8880695421150215, min values: -2.693453432157769, max values: 3.438667023696733, median values: 0.3883180145487274, and quantile values: 0.25 -0.175804\n0.50 0.388318\n0.75 0.851750\nName: 4129, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24334301608243167, std values: 0.9159060643827822, min values: -2.643887016977268, max values: 6.0, median values: -0.2271515886524261, and quantile values: 0.25 -0.923375\n0.50 -0.227152\n0.75 0.449152\nName: 4130, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11088024800134547, std values: 0.9179979303104516, min values: -2.3922473154067863, max values: 5.0, median values: -0.2206083176798094, and quantile values: 0.25 -0.767578\n0.50 -0.220608\n0.75 0.471223\nName: 4131, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21516205618691225, std values: 0.8032285039045708, min values: -2.7542003929097176, max values: 5.0, median values: -0.2227205309234464, and quantile values: 0.25 -0.736194\n0.50 -0.222721\n0.75 0.287379\nName: 4132, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.037245930679782505, std values: 0.8102502184410453, min values: -2.732564679617164, max values: 3.379902545505621, median values: -0.0723261652750513, and quantile values: 0.25 -0.593469\n0.50 -0.072326\n0.75 0.456327\nName: 4133, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33650341587290433, std values: 0.9026197535121294, min values: -2.476285024008804, max values: 3.627976272701048, median values: 0.411915594977266, and quantile values: 0.25 -0.310638\n0.50 0.411916\n0.75 0.991896\nName: 4134, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19704595168656128, std values: 1.2095155437358762, min values: -2.92272757463548, max values: 6.0, median values: 0.4314828267960141, and quantile values: 0.25 -0.393104\n0.50 0.431483\n0.75 1.064614\nName: 4135, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3123571523243289, std values: 0.8394911319154372, min values: -3.598076523509849, max values: 2.9602605313227603, median values: -0.3180612989700822, and quantile values: 0.25 -0.877929\n0.50 -0.318061\n0.75 0.224048\nName: 4136, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20067007833221312, std values: 0.7965732132050312, min values: -2.2837882496430213, max values: 4.0, median values: -0.2988681489812427, and quantile values: 0.25 -0.765399\n0.50 -0.298868\n0.75 0.298234\nName: 4137, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.021063351521920768, std values: 0.774797233300439, min values: -2.038443584566022, max values: 3.250922035035844, median values: -0.0676936164249237, and quantile values: 0.25 -0.502784\n0.50 -0.067694\n0.75 0.489499\nName: 4138, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24437147707065568, std values: 0.8909781192184998, min values: -2.981718296512785, max values: 5.0, median values: -0.2785479634791004, and quantile values: 0.25 -0.866832\n0.50 -0.278548\n0.75 0.317292\nName: 4139, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07847825812183568, std values: 1.022874632306861, min values: -2.643887016977268, max values: 6.0, median values: 0.2093612877871044, and quantile values: 0.25 -0.516671\n0.50 0.209361\n0.75 0.777962\nName: 4140, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08400688638818533, std values: 1.0716406365972846, min values: -2.6201435104586555, max values: 6.0, median values: -0.0404111685580731, and quantile values: 0.25 -0.700640\n0.50 -0.040411\n0.75 0.843664\nName: 4141, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.030267339513714426, std values: 0.7967379227746572, min values: -2.572123985342288, max values: 4.0, median values: 0.0243196104975167, and quantile values: 0.25 -0.486384\n0.50 0.024320\n0.75 0.530877\nName: 4142, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19564168433149626, std values: 1.0313515752525362, min values: -2.8547740449753216, max values: 5.0, median values: 0.3852314833820551, and quantile values: 0.25 -0.447689\n0.50 0.385231\n0.75 0.961301\nName: 4143, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17054159169962024, std values: 0.8100256104714727, min values: -2.919359491767569, max values: 6.0, median values: 0.2367453924398936, and quantile values: 0.25 -0.361491\n0.50 0.236745\n0.75 0.730684\nName: 4144, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6628616555289669, std values: 1.2815190170584378, min values: -3.0148736195915964, max values: 3.721862465295849, median values: -0.6349116249994184, and quantile values: 0.25 -1.774084\n0.50 -0.634912\n0.75 0.095605\nName: 4145, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2823157056338422, std values: 0.814752123967154, min values: -2.1672848631004347, max values: 3.784832159836258, median values: -0.2940114225809878, and quantile values: 0.25 -0.858124\n0.50 -0.294011\n0.75 0.159019\nName: 4146, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8179929582739067, std values: 1.1362414074027127, min values: -3.4217036547572723, max values: 3.2906806286429298, median values: 1.038886783065066, and quantile values: 0.25 0.117497\n0.50 1.038887\n0.75 1.685691\nName: 4147, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.030833386361146627, std values: 0.9042234722192563, min values: -2.5624611946462936, max values: 5.0, median values: 0.1140230975196876, and quantile values: 0.25 -0.587567\n0.50 0.114023\n0.75 0.677327\nName: 4148, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31897330905829235, std values: 0.8815769914283341, min values: -2.6122411453164007, max values: 4.0, median values: -0.3764371151206832, and quantile values: 0.25 -0.909502\n0.50 -0.376437\n0.75 0.232879\nName: 4149, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22325662300928123, std values: 1.0266851061792068, min values: -2.313652452221642, max values: 5.0, median values: -0.3111327414218094, and quantile values: 0.25 -1.066658\n0.50 -0.311133\n0.75 0.531175\nName: 4150, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2817661200104218, std values: 0.9140291028546051, min values: -2.607565022042742, max values: 4.0, median values: 0.3027094471667416, and quantile values: 0.25 -0.368125\n0.50 0.302709\n0.75 0.934229\nName: 4151, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.061965936159588994, std values: 0.7892763870936635, min values: -2.662750916816848, max values: 5.0, median values: 0.0815347517349457, and quantile values: 0.25 -0.471646\n0.50 0.081535\n0.75 0.546587\nName: 4152, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.665148550350177, std values: 1.2980510927479953, min values: -2.4902145713898545, max values: 3.2936960268109283, median values: 0.7265500315344434, and quantile values: 0.25 -0.226364\n0.50 0.726550\n0.75 1.733332\nName: 4153, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2868185247480687, std values: 0.9681905338099545, min values: -2.634919142586459, max values: 6.0, median values: 0.4199949768077657, and quantile values: 0.25 -0.300942\n0.50 0.419995\n0.75 0.992262\nName: 4154, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02376381166642122, std values: 0.7610562238823276, min values: -2.1136270387555465, max values: 3.670892362631932, median values: 0.0322816808559923, and quantile values: 0.25 -0.548666\n0.50 0.032282\n0.75 0.481489\nName: 4155, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08747150582254434, std values: 0.9254917276989197, min values: -2.9029979285382743, max values: 6.0, median values: -0.000578325606477, and quantile values: 0.25 -0.613117\n0.50 -0.000578\n0.75 0.466475\nName: 4156, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28740536124415683, std values: 0.9031493752110401, min values: -2.815821936576896, max values: 3.528773265847577, median values: -0.2562487933774875, and quantile values: 0.25 -0.873726\n0.50 -0.256249\n0.75 0.270647\nName: 4157, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07449710683610249, std values: 1.341379342764185, min values: -2.6820581866633817, max values: 3.1106274661862763, median values: 0.3201502951124538, and quantile values: 0.25 -0.885882\n0.50 0.320150\n0.75 1.156567\nName: 4158, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3173146838805792, std values: 0.9134635795441536, min values: -3.0687217584296813, max values: 3.147276669305989, median values: -0.4202055360002176, and quantile values: 0.25 -0.921398\n0.50 -0.420206\n0.75 0.260520\nName: 4159, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1142545501440398, std values: 1.0805879968051433, min values: -2.8531572940820533, max values: 6.0, median values: -0.1477790882476568, and quantile values: 0.25 -0.895405\n0.50 -0.147779\n0.75 0.697417\nName: 4160, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32784289208745687, std values: 0.8086198305358397, min values: -1.9405064437402628, max values: 5.0, median values: 0.3179867176837923, and quantile values: 0.25 -0.188966\n0.50 0.317987\n0.75 0.837372\nName: 4161, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19187809208740494, std values: 0.9835552761334593, min values: -2.6652153608723106, max values: 5.0, median values: 0.2765583913423335, and quantile values: 0.25 -0.480620\n0.50 0.276558\n0.75 0.936872\nName: 4162, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2136964215476004, std values: 0.9135536453361451, min values: -2.3956757135390148, max values: 3.4217036547572275, median values: 0.2005756755815715, and quantile values: 0.25 -0.352041\n0.50 0.200576\n0.75 0.781780\nName: 4163, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2554271333050044, std values: 0.7947256661818646, min values: -2.3922473154067863, max values: 5.0, median values: -0.3108846850556921, and quantile values: 0.25 -0.798828\n0.50 -0.310885\n0.75 0.188964\nName: 4164, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11352350085617166, std values: 0.8372705596723593, min values: -2.7648443048846945, max values: 2.866305441355491, median values: -0.1787497180694406, and quantile values: 0.25 -0.755857\n0.50 -0.178750\n0.75 0.458361\nName: 4165, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2405706742980039, std values: 0.817679612415389, min values: -1.955192814189345, max values: 3.5908526919299577, median values: 0.2693906344289038, and quantile values: 0.25 -0.289493\n0.50 0.269391\n0.75 0.782737\nName: 4166, dtype: float64, respectively."] \ No newline at end of file diff --git a/data/age_sex/Cataracts_1/train/metab_text.json b/data/age_sex/Cataracts_1/train/metab_text.json new file mode 100644 index 0000000000000000000000000000000000000000..2cde9a6c8799c5c39f9ad18c4f1d67b0536c567f --- /dev/null +++ b/data/age_sex/Cataracts_1/train/metab_text.json @@ -0,0 +1 @@ +["A sample with 159 features representing metab data with mean values: 1.3765733768522015, std values: 4.751569137095127, min values: 3.766e-07, max values: 37.947, median values: 0.18334, and quantile values: 0.25 0.055097\n0.50 0.183340\n0.75 0.807365\nName: 0, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4264056578108177, std values: 4.813998327996095, min values: 2.3242e-07, max values: 38.363, median values: 0.21846, and quantile values: 0.25 0.056359\n0.50 0.218460\n0.75 0.839655\nName: 1, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4587521081515724, std values: 4.778870983973786, min values: 1.8123e-06, max values: 38.847, median values: 0.20868, and quantile values: 0.25 0.061835\n0.50 0.208680\n0.75 0.899430\nName: 2, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5747396451937108, std values: 5.120214625491545, min values: 1.1974e-06, max values: 42.215, median values: 0.21345, and quantile values: 0.25 0.068611\n0.50 0.213450\n0.75 0.967545\nName: 3, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.493494553598742, std values: 4.818108305100129, min values: 9.194e-07, max values: 38.393, median values: 0.25423, and quantile values: 0.25 0.068353\n0.50 0.254230\n0.75 0.960820\nName: 4, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4002146055748428, std values: 4.887301921528549, min values: 2.2573e-06, max values: 39.655, median values: 0.22639, and quantile values: 0.25 0.063919\n0.50 0.226390\n0.75 0.764930\nName: 5, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4052835739440253, std values: 4.90195419860963, min values: 1.6774e-06, max values: 39.273, median values: 0.18565, and quantile values: 0.25 0.063006\n0.50 0.185650\n0.75 0.822295\nName: 6, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7176372563170437, std values: 5.007766161381046, min values: 7.0741e-07, max values: 39.914, median values: 0.29942, and quantile values: 0.25 0.079116\n0.50 0.299420\n0.75 1.234700\nName: 7, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6439420467421384, std values: 5.063397893315727, min values: 1.4344e-06, max values: 40.652, median values: 0.27451, and quantile values: 0.25 0.079475\n0.50 0.274510\n0.75 1.124100\nName: 8, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6148460139333334, std values: 4.937182402865838, min values: 1.1938e-06, max values: 38.961, median values: 0.26753, and quantile values: 0.25 0.072658\n0.50 0.267530\n0.75 1.071900\nName: 9, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.57027345668239, std values: 4.882125001830138, min values: 9.745e-07, max values: 38.793, median values: 0.26504, and quantile values: 0.25 0.069002\n0.50 0.265040\n0.75 1.029800\nName: 10, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2458401576843396, std values: 4.404669499509885, min values: 8.6501e-07, max values: 38.014, median values: 0.1893, and quantile values: 0.25 0.053719\n0.50 0.189300\n0.75 0.673045\nName: 11, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4593461478413836, std values: 4.803542869846519, min values: 3.1708e-07, max values: 38.2, median values: 0.21926, and quantile values: 0.25 0.060208\n0.50 0.219260\n0.75 0.921800\nName: 12, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4742724535616352, std values: 5.016137953986168, min values: 1.9843e-06, max values: 40.55, median values: 0.22961, and quantile values: 0.25 0.067030\n0.50 0.229610\n0.75 0.849355\nName: 13, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.445566124398113, std values: 4.995308486635491, min values: 2.7075e-06, max values: 40.608, median values: 0.19896, and quantile values: 0.25 0.059984\n0.50 0.198960\n0.75 0.759770\nName: 14, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3680516886588052, std values: 4.785828875061407, min values: 1.283e-08, max values: 40.154, median values: 0.15249, and quantile values: 0.25 0.03791\n0.50 0.15249\n0.75 0.71585\nName: 15, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4231862410657234, std values: 4.945332738824454, min values: 8.9935e-07, max values: 40.769, median values: 0.1968, and quantile values: 0.25 0.053013\n0.50 0.196800\n0.75 0.771860\nName: 16, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5451569049509435, std values: 4.961702744854685, min values: 2.8186e-06, max values: 40.329, median values: 0.26519, and quantile values: 0.25 0.065121\n0.50 0.265190\n0.75 0.975760\nName: 17, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6138531474729556, std values: 4.859442924384366, min values: 1.4743e-06, max values: 38.815, median values: 0.25785, and quantile values: 0.25 0.075916\n0.50 0.257850\n0.75 1.091900\nName: 18, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3913380104003772, std values: 4.773876831246135, min values: 1.2825e-07, max values: 38.675, median values: 0.20212, and quantile values: 0.25 0.045215\n0.50 0.202120\n0.75 0.768115\nName: 19, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5884431287698113, std values: 5.054041289181816, min values: 1.3127e-06, max values: 42.476, median values: 0.24382, and quantile values: 0.25 0.067031\n0.50 0.243820\n0.75 0.919695\nName: 20, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3350506033433964, std values: 4.6730045708286605, min values: 0.0, max values: 38.248, median values: 0.20025, and quantile values: 0.25 0.057303\n0.50 0.200250\n0.75 0.749490\nName: 21, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.272269843991887, std values: 4.508536888890946, min values: 6.4541e-07, max values: 37.86, median values: 0.1843, and quantile values: 0.25 0.055899\n0.50 0.184300\n0.75 0.703525\nName: 22, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3959738734459122, std values: 4.611065397231017, min values: 2.862e-07, max values: 37.255, median values: 0.18961, and quantile values: 0.25 0.060303\n0.50 0.189610\n0.75 0.872955\nName: 23, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.44608681758239, std values: 5.008750906641455, min values: 2.8179e-06, max values: 40.108, median values: 0.20125, and quantile values: 0.25 0.059038\n0.50 0.201250\n0.75 0.786595\nName: 24, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3691855651321572, std values: 4.580013598115712, min values: 8.3113e-08, max values: 37.458, median values: 0.18247, and quantile values: 0.25 0.053405\n0.50 0.182470\n0.75 0.801930\nName: 25, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4928407884842767, std values: 4.949824254146726, min values: 2.7362e-06, max values: 40.263, median values: 0.22869, and quantile values: 0.25 0.06717\n0.50 0.22869\n0.75 0.88319\nName: 26, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5037373936132705, std values: 4.698541343761747, min values: 6.8991e-07, max values: 37.582, median values: 0.22346, and quantile values: 0.25 0.057801\n0.50 0.223460\n0.75 0.915985\nName: 27, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4987864624396228, std values: 4.930954391155017, min values: 2.3298e-06, max values: 39.882, median values: 0.23351, and quantile values: 0.25 0.063717\n0.50 0.233510\n0.75 0.917755\nName: 28, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.591464746206918, std values: 5.151876509239785, min values: 1.3103e-06, max values: 42.624, median values: 0.2438, and quantile values: 0.25 0.069075\n0.50 0.243800\n0.75 1.012470\nName: 29, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6957073671471696, std values: 5.373416129377811, min values: 3.7707e-06, max values: 45.558, median values: 0.26239, and quantile values: 0.25 0.075077\n0.50 0.262390\n0.75 1.032100\nName: 30, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.442187908724528, std values: 4.7217458649929585, min values: 1.3697e-06, max values: 38.491, median values: 0.2004, and quantile values: 0.25 0.059949\n0.50 0.200400\n0.75 0.896935\nName: 31, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7369063171962262, std values: 5.421539649080554, min values: 3.3887e-06, max values: 45.933, median values: 0.29036, and quantile values: 0.25 0.076264\n0.50 0.290360\n0.75 1.127000\nName: 32, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5662555711327044, std values: 5.299716721478424, min values: 1.6946e-06, max values: 46.56, median values: 0.22956, and quantile values: 0.25 0.072076\n0.50 0.229560\n0.75 0.953430\nName: 33, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.549879172747799, std values: 4.9251399840198955, min values: 1.6527e-06, max values: 39.113, median values: 0.22359, and quantile values: 0.25 0.065627\n0.50 0.223590\n0.75 1.005300\nName: 34, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4303073911762643, std values: 4.708318474088426, min values: 1.716e-08, max values: 37.672, median values: 0.19589, and quantile values: 0.25 0.040543\n0.50 0.195890\n0.75 0.805410\nName: 35, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6074556523301886, std values: 5.054277566142516, min values: 2.8806e-06, max values: 40.246, median values: 0.25992, and quantile values: 0.25 0.071721\n0.50 0.259920\n0.75 1.022900\nName: 36, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5206181460421384, std values: 4.852906705840868, min values: 1.5586e-06, max values: 38.337, median values: 0.26033, and quantile values: 0.25 0.071108\n0.50 0.260330\n0.75 0.967545\nName: 37, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2971059438509434, std values: 4.969692145222455, min values: 1.323e-06, max values: 41.946, median values: 0.15608, and quantile values: 0.25 0.049855\n0.50 0.156080\n0.75 0.659145\nName: 38, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3409075806842767, std values: 4.824279292621385, min values: 2.4849e-06, max values: 38.965, median values: 0.19014, and quantile values: 0.25 0.064244\n0.50 0.190140\n0.75 0.740335\nName: 39, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3353778230119497, std values: 4.739139070605847, min values: 1.2277e-06, max values: 39.42, median values: 0.17355, and quantile values: 0.25 0.052707\n0.50 0.173550\n0.75 0.815455\nName: 40, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6121951910421384, std values: 5.3812456650236475, min values: 4.8459e-06, max values: 44.947, median values: 0.25759, and quantile values: 0.25 0.065084\n0.50 0.257590\n0.75 0.888385\nName: 41, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5860237491244655, std values: 4.871710083078029, min values: 6.1189e-07, max values: 38.21, median values: 0.26995, and quantile values: 0.25 0.074104\n0.50 0.269950\n0.75 1.045800\nName: 42, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.574344569318931, std values: 5.167782889685668, min values: 6.6261e-07, max values: 43.986, median values: 0.24179, and quantile values: 0.25 0.062767\n0.50 0.241790\n0.75 0.956155\nName: 43, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4361785613100628, std values: 4.872424071920415, min values: 1.5543e-06, max values: 38.924, median values: 0.21856, and quantile values: 0.25 0.057467\n0.50 0.218560\n0.75 0.828775\nName: 44, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5450087426820753, std values: 4.910181144481927, min values: 7.9115e-07, max values: 39.362, median values: 0.25011, and quantile values: 0.25 0.069631\n0.50 0.250110\n0.75 0.959260\nName: 45, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5940783596238994, std values: 5.287697849666115, min values: 1.5635e-06, max values: 46.35, median values: 0.23992, and quantile values: 0.25 0.062718\n0.50 0.239920\n0.75 0.941030\nName: 46, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6702185991637233, std values: 4.953256085789243, min values: 8.9832e-08, max values: 39.752, median values: 0.26208, and quantile values: 0.25 0.06308\n0.50 0.26208\n0.75 1.08040\nName: 47, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6225094122421384, std values: 4.996055696712991, min values: 1.0265e-06, max values: 39.636, median values: 0.25102, and quantile values: 0.25 0.06986\n0.50 0.25102\n0.75 1.08575\nName: 48, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.452778853179497, std values: 4.793366400844139, min values: 4.0634e-07, max values: 38.308, median values: 0.21073, and quantile values: 0.25 0.059773\n0.50 0.210730\n0.75 0.922215\nName: 49, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3789614988396228, std values: 4.930521681449969, min values: 1.5326e-06, max values: 40.481, median values: 0.22108, and quantile values: 0.25 0.061256\n0.50 0.221080\n0.75 0.791555\nName: 50, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4738713451691823, std values: 4.612575561507184, min values: 2.719e-06, max values: 38.759, median values: 0.24031, and quantile values: 0.25 0.070668\n0.50 0.240310\n0.75 0.955780\nName: 51, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3162192957773584, std values: 4.988297809993172, min values: 1.2407e-06, max values: 40.841, median values: 0.1542, and quantile values: 0.25 0.043709\n0.50 0.154200\n0.75 0.708875\nName: 52, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.417487057147629, std values: 4.773618112534395, min values: 2.4873e-08, max values: 38.564, median values: 0.18487, and quantile values: 0.25 0.051167\n0.50 0.184870\n0.75 0.834885\nName: 53, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4655991416222642, std values: 4.916970547700614, min values: 5.9524e-07, max values: 40.19, median values: 0.21306, and quantile values: 0.25 0.056999\n0.50 0.213060\n0.75 0.849145\nName: 54, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.643533451420503, std values: 5.031376280619275, min values: 5.3616e-07, max values: 41.181, median values: 0.2554, and quantile values: 0.25 0.070506\n0.50 0.255400\n0.75 1.108800\nName: 55, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5552066190264149, std values: 4.856736858759268, min values: 7.254e-07, max values: 38.452, median values: 0.23292, and quantile values: 0.25 0.067359\n0.50 0.232920\n0.75 0.970230\nName: 56, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.586725452418239, std values: 5.194329386718523, min values: 1.851e-06, max values: 44.028, median values: 0.26547, and quantile values: 0.25 0.074981\n0.50 0.265470\n0.75 0.978580\nName: 57, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4759948837576227, std values: 4.7506017329155155, min values: 3.2562e-08, max values: 37.66, median values: 0.21726, and quantile values: 0.25 0.064503\n0.50 0.217260\n0.75 0.965240\nName: 58, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4367524502125786, std values: 4.961784426922148, min values: 1.4823e-06, max values: 40.062, median values: 0.20454, and quantile values: 0.25 0.056322\n0.50 0.204540\n0.75 0.887810\nName: 59, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5042129895339622, std values: 4.865456263211538, min values: 5.73e-07, max values: 38.712, median values: 0.26324, and quantile values: 0.25 0.06044\n0.50 0.26324\n0.75 0.90479\nName: 60, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4309774063908804, std values: 5.031409680703695, min values: 1.1555e-07, max values: 42.332, median values: 0.19985, and quantile values: 0.25 0.045573\n0.50 0.199850\n0.75 0.806720\nName: 61, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5808244768886794, std values: 5.045396885078667, min values: 1.153e-06, max values: 41.534, median values: 0.2407, and quantile values: 0.25 0.067479\n0.50 0.240700\n0.75 1.012230\nName: 62, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6394392432396223, std values: 5.166684976696675, min values: 5.3178e-06, max values: 41.187, median values: 0.23276, and quantile values: 0.25 0.073153\n0.50 0.232760\n0.75 0.975475\nName: 63, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3795169984924527, std values: 4.8483451290797825, min values: 1.2235e-06, max values: 39.04, median values: 0.1825, and quantile values: 0.25 0.054621\n0.50 0.182500\n0.75 0.764385\nName: 64, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.491882352988931, std values: 5.091024591157341, min values: 1.2534e-07, max values: 43.727, median values: 0.21044, and quantile values: 0.25 0.052276\n0.50 0.210440\n0.75 0.922070\nName: 65, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6495557392509435, std values: 5.026568285887349, min values: 2.3544e-06, max values: 39.609, median values: 0.26109, and quantile values: 0.25 0.068423\n0.50 0.261090\n0.75 1.095850\nName: 66, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8205146791332576, std values: 5.58354943408409, min values: 2.8028e-08, max values: 51.294, median values: 0.2937, and quantile values: 0.25 0.063064\n0.50 0.293700\n0.75 1.190850\nName: 67, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5666114455512579, std values: 4.899787767208975, min values: 4.6695e-07, max values: 39.924, median values: 0.24005, and quantile values: 0.25 0.057675\n0.50 0.240050\n0.75 0.954445\nName: 68, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4825602195459118, std values: 4.837650227674439, min values: 4.673e-07, max values: 38.652, median values: 0.2114, and quantile values: 0.25 0.063835\n0.50 0.211400\n0.75 0.932230\nName: 69, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6986141360848241, std values: 5.109169054780454, min values: 9.7987e-08, max values: 42.223, median values: 0.26365, and quantile values: 0.25 0.066762\n0.50 0.263650\n0.75 1.189850\nName: 70, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3692357601856604, std values: 4.77358583754479, min values: 5.7902e-07, max values: 38.072, median values: 0.18127, and quantile values: 0.25 0.057016\n0.50 0.181270\n0.75 0.806930\nName: 71, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5098219065316667, std values: 4.873577629765861, min values: 9.6535e-08, max values: 39.811, median values: 0.20363, and quantile values: 0.25 0.052392\n0.50 0.203630\n0.75 0.933370\nName: 72, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.597022355196415, std values: 5.183508648859985, min values: 6.6183e-07, max values: 44.788, median values: 0.24171, and quantile values: 0.25 0.061343\n0.50 0.241710\n0.75 0.990385\nName: 73, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4703230686208175, std values: 4.861951267724528, min values: 7.6841e-07, max values: 38.535, median values: 0.21954, and quantile values: 0.25 0.050655\n0.50 0.219540\n0.75 0.901530\nName: 74, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.644259895006918, std values: 5.042350178378851, min values: 2.7199e-06, max values: 39.699, median values: 0.31721, and quantile values: 0.25 0.085102\n0.50 0.317210\n0.75 1.071150\nName: 75, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3773412326162895, std values: 4.812659723567646, min values: 7.2019e-07, max values: 38.875, median values: 0.16577, and quantile values: 0.25 0.050543\n0.50 0.165770\n0.75 0.786735\nName: 76, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.405137814836478, std values: 4.86052188776487, min values: 1.1463e-06, max values: 38.954, median values: 0.16203, and quantile values: 0.25 0.054061\n0.50 0.162030\n0.75 0.791255\nName: 77, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4473261093931444, std values: 4.868241583282401, min values: 1.9391e-07, max values: 40.006, median values: 0.17077, and quantile values: 0.25 0.050897\n0.50 0.170770\n0.75 0.801925\nName: 78, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3768655499071698, std values: 4.948543950882221, min values: 4.6874e-07, max values: 41.835, median values: 0.1974, and quantile values: 0.25 0.052598\n0.50 0.197400\n0.75 0.734205\nName: 79, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6696289916397486, std values: 5.076566687314642, min values: 2.4912e-07, max values: 41.687, median values: 0.22484, and quantile values: 0.25 0.062009\n0.50 0.224840\n0.75 1.111550\nName: 80, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.606432568418239, std values: 4.98272402718451, min values: 2.2936e-06, max values: 39.192, median values: 0.28087, and quantile values: 0.25 0.078098\n0.50 0.280870\n0.75 1.108750\nName: 81, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.377723286771698, std values: 4.678860955105266, min values: 6.722e-07, max values: 38.108, median values: 0.19056, and quantile values: 0.25 0.056417\n0.50 0.190560\n0.75 0.825670\nName: 82, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5252296822389937, std values: 5.182722205296879, min values: 1.4289e-06, max values: 44.587, median values: 0.2524, and quantile values: 0.25 0.06774\n0.50 0.25240\n0.75 0.87014\nName: 83, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6995605439553458, std values: 4.865584141381085, min values: 2.1073e-06, max values: 38.799, median values: 0.28292, and quantile values: 0.25 0.080134\n0.50 0.282920\n0.75 1.197650\nName: 84, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.48897736088805, std values: 4.9364266017496226, min values: 1.4019e-06, max values: 39.858, median values: 0.22881, and quantile values: 0.25 0.057122\n0.50 0.228810\n0.75 0.869180\nName: 85, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4984816158289307, std values: 4.733850946976698, min values: 1.5582e-06, max values: 38.953, median values: 0.23558, and quantile values: 0.25 0.059825\n0.50 0.235580\n0.75 0.962300\nName: 86, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5950172397572329, std values: 5.574288433752785, min values: 2.764e-07, max values: 52.097, median values: 0.22495, and quantile values: 0.25 0.061179\n0.50 0.224950\n0.75 0.994755\nName: 87, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2140577041744214, std values: 4.432151446632637, min values: 4.9493e-08, max values: 36.608, median values: 0.14654, and quantile values: 0.25 0.037091\n0.50 0.146540\n0.75 0.620125\nName: 88, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.515030313124962, std values: 4.778016069105401, min values: 3.3409e-08, max values: 38.086, median values: 0.23283, and quantile values: 0.25 0.054623\n0.50 0.232830\n0.75 0.946430\nName: 89, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8509118832345914, std values: 5.148056279728737, min values: 1.0735e-06, max values: 41.116, median values: 0.35788, and quantile values: 0.25 0.09157\n0.50 0.35788\n0.75 1.38000\nName: 90, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.419920450972956, std values: 5.101322854132948, min values: 1.3595e-06, max values: 43.264, median values: 0.19343, and quantile values: 0.25 0.055733\n0.50 0.193430\n0.75 0.877545\nName: 91, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5733693518232705, std values: 4.850409113178065, min values: 1.3086e-06, max values: 38.735, median values: 0.24095, and quantile values: 0.25 0.07073\n0.50 0.24095\n0.75 1.02745\nName: 92, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3851739887786163, std values: 4.884777231986344, min values: 1.1927e-06, max values: 39.66, median values: 0.18229, and quantile values: 0.25 0.061619\n0.50 0.182290\n0.75 0.781685\nName: 93, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6181552804421384, std values: 5.250935956295727, min values: 2.0449e-06, max values: 44.317, median values: 0.23964, and quantile values: 0.25 0.073403\n0.50 0.239640\n0.75 1.026700\nName: 94, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4440700976701257, std values: 4.702925750130834, min values: 7.2595e-07, max values: 38.512, median values: 0.19567, and quantile values: 0.25 0.056086\n0.50 0.195670\n0.75 0.870815\nName: 95, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6386894002333336, std values: 5.025974240793438, min values: 1.5086e-06, max values: 40.028, median values: 0.25005, and quantile values: 0.25 0.076882\n0.50 0.250050\n0.75 1.017100\nName: 96, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5346138737772954, std values: 4.794501584153685, min values: 7.5669e-07, max values: 38.442, median values: 0.23701, and quantile values: 0.25 0.074157\n0.50 0.237010\n0.75 1.010830\nName: 97, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3172813543319495, std values: 4.5387923309183655, min values: 3.1658e-07, max values: 37.88, median values: 0.18254, and quantile values: 0.25 0.050434\n0.50 0.182540\n0.75 0.796255\nName: 98, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6481387473194968, std values: 5.034587513370248, min values: 3.0495e-06, max values: 39.654, median values: 0.30049, and quantile values: 0.25 0.078193\n0.50 0.300490\n0.75 1.038900\nName: 99, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6263708605339622, std values: 5.195786418541135, min values: 5.5363e-06, max values: 41.346, median values: 0.24468, and quantile values: 0.25 0.082058\n0.50 0.244680\n0.75 0.963425\nName: 100, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6272128621597486, std values: 5.116507127481489, min values: 1.0679e-06, max values: 43.161, median values: 0.29545, and quantile values: 0.25 0.076984\n0.50 0.295450\n0.75 1.090900\nName: 101, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5076276805408804, std values: 4.920704926884847, min values: 2.2048e-06, max values: 39.178, median values: 0.29077, and quantile values: 0.25 0.066727\n0.50 0.290770\n0.75 0.949030\nName: 102, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5863311544018868, std values: 5.091118528521973, min values: 6.1223e-06, max values: 41.776, median values: 0.2558, and quantile values: 0.25 0.074051\n0.50 0.255800\n0.75 0.841300\nName: 103, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.448265060135849, std values: 4.927645298012229, min values: 1.6198e-06, max values: 40.389, median values: 0.2116, and quantile values: 0.25 0.07340\n0.50 0.21160\n0.75 0.80985\nName: 104, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4082159470005033, std values: 4.647222454767978, min values: 3.6898e-07, max values: 37.194, median values: 0.19955, and quantile values: 0.25 0.059354\n0.50 0.199550\n0.75 0.813110\nName: 105, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5746822758730188, std values: 4.981405602446766, min values: 9.7841e-07, max values: 40.557, median values: 0.23716, and quantile values: 0.25 0.071156\n0.50 0.237160\n0.75 0.995460\nName: 106, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6407603513735851, std values: 5.297875731623576, min values: 3.4824e-06, max values: 44.421, median values: 0.25808, and quantile values: 0.25 0.082424\n0.50 0.258080\n0.75 0.950890\nName: 107, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3411729358717615, std values: 4.763806972686923, min values: 7.1731e-07, max values: 38.519, median values: 0.1988, and quantile values: 0.25 0.054552\n0.50 0.198800\n0.75 0.744070\nName: 108, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.339305924889937, std values: 4.790939732790202, min values: 1.5724e-06, max values: 39.346, median values: 0.19002, and quantile values: 0.25 0.05933\n0.50 0.19002\n0.75 0.74211\nName: 109, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4160543472220188, std values: 4.9926748644147105, min values: 5.8901e-08, max values: 42.509, median values: 0.18965, and quantile values: 0.25 0.052026\n0.50 0.189650\n0.75 0.857830\nName: 110, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.663551582489937, std values: 5.193603393387808, min values: 3.0934e-06, max values: 42.595, median values: 0.29891, and quantile values: 0.25 0.087691\n0.50 0.298910\n0.75 1.062480\nName: 111, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.471185519320887, std values: 4.764534207368953, min values: 1.7521e-08, max values: 37.542, median values: 0.19434, and quantile values: 0.25 0.052027\n0.50 0.194340\n0.75 0.882240\nName: 112, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.705983812164151, std values: 5.104673245977607, min values: 4.0915e-06, max values: 39.948, median values: 0.30497, and quantile values: 0.25 0.091316\n0.50 0.304970\n0.75 1.043800\nName: 113, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5646933388257862, std values: 4.869416308587207, min values: 2.6189e-06, max values: 39.459, median values: 0.27702, and quantile values: 0.25 0.077071\n0.50 0.277020\n0.75 1.037050\nName: 114, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.670461539998113, std values: 4.855646880457452, min values: 1.7956e-06, max values: 38.796, median values: 0.30007, and quantile values: 0.25 0.086828\n0.50 0.300070\n0.75 1.157700\nName: 115, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6061347352238995, std values: 5.165352108379454, min values: 3.5532e-06, max values: 42.118, median values: 0.25024, and quantile values: 0.25 0.07507\n0.50 0.25024\n0.75 1.02080\nName: 116, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.35085740372, std values: 4.914173630630942, min values: 5.9098e-07, max values: 39.678, median values: 0.15355, and quantile values: 0.25 0.042594\n0.50 0.153550\n0.75 0.770700\nName: 117, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4853521229636415, std values: 4.854801829942869, min values: 2.1419e-08, max values: 39.015, median values: 0.20702, and quantile values: 0.25 0.060022\n0.50 0.207020\n0.75 0.872010\nName: 118, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4783582292664155, std values: 4.73494272580499, min values: 3.9896e-07, max values: 36.892, median values: 0.20306, and quantile values: 0.25 0.050793\n0.50 0.203060\n0.75 0.946550\nName: 119, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.508098928034654, std values: 5.1678564529820505, min values: 4.9431e-07, max values: 45.134, median values: 0.19324, and quantile values: 0.25 0.062307\n0.50 0.193240\n0.75 0.857175\nName: 120, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6497929683415096, std values: 4.9042201200843145, min values: 4.1649e-06, max values: 38.893, median values: 0.27917, and quantile values: 0.25 0.086613\n0.50 0.279170\n0.75 1.063450\nName: 121, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5180140519620127, std values: 5.090327931907577, min values: 8.2876e-07, max values: 43.139, median values: 0.20754, and quantile values: 0.25 0.057566\n0.50 0.207540\n0.75 0.950565\nName: 122, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.48543088346478, std values: 4.733019915896154, min values: 1.434e-06, max values: 38.89, median values: 0.23848, and quantile values: 0.25 0.065322\n0.50 0.238480\n0.75 0.943810\nName: 123, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6559815212389937, std values: 5.047577453116418, min values: 3.0859e-06, max values: 39.674, median values: 0.30143, and quantile values: 0.25 0.077878\n0.50 0.301430\n0.75 1.079250\nName: 124, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4792657830182392, std values: 4.94411682238727, min values: 4.2077e-06, max values: 41.262, median values: 0.24358, and quantile values: 0.25 0.06801\n0.50 0.24358\n0.75 0.76384\nName: 125, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7496921212761005, std values: 5.246430641727895, min values: 6.2647e-06, max values: 41.091, median values: 0.30212, and quantile values: 0.25 0.085426\n0.50 0.302120\n0.75 1.094650\nName: 126, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.463423101737736, std values: 5.046074729743775, min values: 2.198e-06, max values: 41.324, median values: 0.21887, and quantile values: 0.25 0.060580\n0.50 0.218870\n0.75 0.889155\nName: 127, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.463722957645283, std values: 4.906033559108412, min values: 2.4842e-06, max values: 39.476, median values: 0.23162, and quantile values: 0.25 0.066151\n0.50 0.231620\n0.75 0.879565\nName: 128, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5494145508607549, std values: 4.869396809966653, min values: 2.4496e-07, max values: 38.691, median values: 0.23274, and quantile values: 0.25 0.064296\n0.50 0.232740\n0.75 1.009790\nName: 129, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6336655820698742, std values: 5.203543528013437, min values: 3.9541e-07, max values: 44.979, median values: 0.23989, and quantile values: 0.25 0.064479\n0.50 0.239890\n0.75 1.019965\nName: 130, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8150325533042766, std values: 5.581954971101842, min values: 8.5648e-07, max values: 49.566, median values: 0.2724, and quantile values: 0.25 0.066057\n0.50 0.272400\n0.75 1.241850\nName: 131, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3172529771531447, std values: 4.482761859459543, min values: 7.616e-08, max values: 36.213, median values: 0.18153, and quantile values: 0.25 0.046352\n0.50 0.181530\n0.75 0.786235\nName: 132, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5458884428136292, std values: 5.020843721007731, min values: 9.4277e-08, max values: 42.379, median values: 0.20819, and quantile values: 0.25 0.055681\n0.50 0.208190\n0.75 0.908725\nName: 133, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6091787510745914, std values: 5.093719832972405, min values: 8.3146e-07, max values: 42.147, median values: 0.26303, and quantile values: 0.25 0.068069\n0.50 0.263030\n0.75 0.999040\nName: 134, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4709303736214465, std values: 4.863334024304001, min values: 5.0521e-07, max values: 39.625, median values: 0.22419, and quantile values: 0.25 0.063295\n0.50 0.224190\n0.75 0.909835\nName: 135, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.574753789941698, std values: 5.022347626998727, min values: 8.4843e-07, max values: 41.533, median values: 0.24602, and quantile values: 0.25 0.068414\n0.50 0.246020\n0.75 1.037200\nName: 136, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5588977376723272, std values: 4.858017179064428, min values: 2.7848e-06, max values: 39.475, median values: 0.27499, and quantile values: 0.25 0.073961\n0.50 0.274990\n0.75 0.992320\nName: 137, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3853203796886164, std values: 4.626385098236706, min values: 1.1473e-07, max values: 36.937, median values: 0.21355, and quantile values: 0.25 0.048392\n0.50 0.213550\n0.75 0.806610\nName: 138, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4768732952402515, std values: 5.084221206302858, min values: 1.5253e-06, max values: 42.384, median values: 0.21175, and quantile values: 0.25 0.057869\n0.50 0.211750\n0.75 0.858875\nName: 139, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3570010946549687, std values: 4.821701012607814, min values: 2.4694e-07, max values: 39.903, median values: 0.21829, and quantile values: 0.25 0.049690\n0.50 0.218290\n0.75 0.772465\nName: 140, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3988050041257862, std values: 5.023552069791071, min values: 1.317e-06, max values: 40.732, median values: 0.20916, and quantile values: 0.25 0.058057\n0.50 0.209160\n0.75 0.815120\nName: 141, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7522203763371071, std values: 5.546430734676083, min values: 1.544e-06, max values: 49.59, median values: 0.28938, and quantile values: 0.25 0.076342\n0.50 0.289380\n0.75 1.161800\nName: 142, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4726524229610063, std values: 4.828539269555409, min values: 1.566e-06, max values: 38.26, median values: 0.2362, and quantile values: 0.25 0.063563\n0.50 0.236200\n0.75 0.913110\nName: 143, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2604222537691825, std values: 4.74876292690483, min values: 2.277e-06, max values: 39.767, median values: 0.16123, and quantile values: 0.25 0.047761\n0.50 0.161230\n0.75 0.672360\nName: 144, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3909885638048427, std values: 4.5170944479293675, min values: 6.8597e-07, max values: 37.16, median values: 0.16217, and quantile values: 0.25 0.051756\n0.50 0.162170\n0.75 0.810685\nName: 145, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4734138327937107, std values: 5.084799412068861, min values: 2.5592e-06, max values: 42.015, median values: 0.22755, and quantile values: 0.25 0.058669\n0.50 0.227550\n0.75 0.896160\nName: 146, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4602278554389936, std values: 5.059030600780394, min values: 4.4011e-06, max values: 40.729, median values: 0.22671, and quantile values: 0.25 0.055523\n0.50 0.226710\n0.75 0.793755\nName: 147, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4400166946590567, std values: 4.7861960199717855, min values: 8.0169e-07, max values: 38.48, median values: 0.21332, and quantile values: 0.25 0.060899\n0.50 0.213320\n0.75 0.877000\nName: 148, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.447896403997107, std values: 5.00242638569988, min values: 6.259e-07, max values: 41.552, median values: 0.17174, and quantile values: 0.25 0.052730\n0.50 0.171740\n0.75 0.818115\nName: 149, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3243969636286164, std values: 4.7584698395763505, min values: 9.0685e-07, max values: 38.241, median values: 0.17681, and quantile values: 0.25 0.049888\n0.50 0.176810\n0.75 0.724975\nName: 150, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8126002857534593, std values: 5.121321971231, min values: 2.0183e-06, max values: 39.213, median values: 0.29489, and quantile values: 0.25 0.084515\n0.50 0.294890\n0.75 1.296000\nName: 151, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7220662822744026, std values: 5.1325303503320105, min values: 7.6593e-07, max values: 42.481, median values: 0.34888, and quantile values: 0.25 0.087841\n0.50 0.348880\n0.75 1.170750\nName: 152, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5279371963540878, std values: 5.147707903730073, min values: 5.5617e-06, max values: 41.207, median values: 0.21552, and quantile values: 0.25 0.064804\n0.50 0.215520\n0.75 0.857610\nName: 153, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4934668724496853, std values: 4.911431547432671, min values: 1.792e-07, max values: 40.524, median values: 0.23767, and quantile values: 0.25 0.058055\n0.50 0.237670\n0.75 0.968040\nName: 154, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5082719816106918, std values: 4.726169602826201, min values: 1.4214e-06, max values: 38.791, median values: 0.25488, and quantile values: 0.25 0.068464\n0.50 0.254880\n0.75 0.967250\nName: 155, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3921269164886791, std values: 4.921293499558082, min values: 2.1825e-06, max values: 39.751, median values: 0.19147, and quantile values: 0.25 0.060390\n0.50 0.191470\n0.75 0.752085\nName: 156, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.418915273120126, std values: 5.104647899406561, min values: 3.5669e-06, max values: 42.516, median values: 0.19021, and quantile values: 0.25 0.064981\n0.50 0.190210\n0.75 0.753115\nName: 157, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5281443134144652, std values: 4.986070677931568, min values: 1.1281e-06, max values: 40.558, median values: 0.24061, and quantile values: 0.25 0.064218\n0.50 0.240610\n0.75 0.886775\nName: 158, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6920534080251572, std values: 5.071378847574859, min values: 2.0935e-06, max values: 40.003, median values: 0.28697, and quantile values: 0.25 0.075841\n0.50 0.286970\n0.75 1.170350\nName: 159, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5289476715383645, std values: 4.901715047548468, min values: 3.3258e-06, max values: 39.288, median values: 0.24008, and quantile values: 0.25 0.072478\n0.50 0.240080\n0.75 0.908315\nName: 160, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3777690221295598, std values: 5.00866413383536, min values: 2.4209e-06, max values: 41.017, median values: 0.19226, and quantile values: 0.25 0.052688\n0.50 0.192260\n0.75 0.752755\nName: 161, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3882248245404403, std values: 4.892000583481089, min values: 4.5943e-07, max values: 40.12, median values: 0.18396, and quantile values: 0.25 0.056178\n0.50 0.183960\n0.75 0.813450\nName: 162, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8779598172874212, std values: 5.628011757119857, min values: 4.9435e-06, max values: 47.17, median values: 0.32836, and quantile values: 0.25 0.088549\n0.50 0.328360\n0.75 1.228000\nName: 163, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3114911352242766, std values: 4.942345195587339, min values: 5.7546e-07, max values: 41.503, median values: 0.17306, and quantile values: 0.25 0.046017\n0.50 0.173060\n0.75 0.645765\nName: 164, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.462068687063522, std values: 4.7156846603702816, min values: 2.3041e-06, max values: 39.519, median values: 0.25284, and quantile values: 0.25 0.06574\n0.50 0.25284\n0.75 0.91611\nName: 165, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4850851914188679, std values: 4.743156224842515, min values: 6.485e-07, max values: 37.509, median values: 0.22715, and quantile values: 0.25 0.056664\n0.50 0.227150\n0.75 0.919490\nName: 166, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7566092237264153, std values: 4.9981227187726605, min values: 1.2934e-06, max values: 38.183, median values: 0.28972, and quantile values: 0.25 0.073166\n0.50 0.289720\n0.75 1.279600\nName: 167, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6024041727628928, std values: 4.993392000892362, min values: 2.3213e-06, max values: 39.311, median values: 0.25906, and quantile values: 0.25 0.070969\n0.50 0.259060\n0.75 1.049350\nName: 168, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5342018027913835, std values: 4.909438029085788, min values: 5.4943e-07, max values: 39.245, median values: 0.23729, and quantile values: 0.25 0.062757\n0.50 0.237290\n0.75 0.956795\nName: 169, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4107353738867925, std values: 4.93269720210273, min values: 1.9334e-06, max values: 39.883, median values: 0.19598, and quantile values: 0.25 0.057380\n0.50 0.195980\n0.75 0.834175\nName: 170, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.494577850925346, std values: 5.204558902819642, min values: 3.1026e-07, max values: 46.719, median values: 0.19602, and quantile values: 0.25 0.058867\n0.50 0.196020\n0.75 0.809890\nName: 171, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.383089053691824, std values: 4.93813075204141, min values: 1.8308e-06, max values: 39.62, median values: 0.19331, and quantile values: 0.25 0.056695\n0.50 0.193310\n0.75 0.755480\nName: 172, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4163787914583648, std values: 4.781216434945259, min values: 2.8437e-07, max values: 39.017, median values: 0.20906, and quantile values: 0.25 0.050235\n0.50 0.209060\n0.75 0.832890\nName: 173, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6363158228339625, std values: 5.066781125145842, min values: 2.9643e-06, max values: 39.888, median values: 0.30571, and quantile values: 0.25 0.076125\n0.50 0.305710\n0.75 1.008350\nName: 174, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.481146364125786, std values: 4.77576726492834, min values: 1.3009e-06, max values: 39.479, median values: 0.21382, and quantile values: 0.25 0.066356\n0.50 0.213820\n0.75 0.910550\nName: 175, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4856459295924527, std values: 4.9572988424123565, min values: 1.4076e-06, max values: 40.381, median values: 0.20037, and quantile values: 0.25 0.062415\n0.50 0.200370\n0.75 0.915845\nName: 176, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4322773271069185, std values: 4.705721243050539, min values: 2.9243e-06, max values: 39.614, median values: 0.22611, and quantile values: 0.25 0.069087\n0.50 0.226110\n0.75 0.870175\nName: 177, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.22830816673522, std values: 4.580036029020736, min values: 2.5604e-06, max values: 40.414, median values: 0.15888, and quantile values: 0.25 0.046467\n0.50 0.158880\n0.75 0.620985\nName: 178, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4429067453264153, std values: 5.004468664979117, min values: 1.156e-06, max values: 41.597, median values: 0.19107, and quantile values: 0.25 0.061391\n0.50 0.191070\n0.75 0.819515\nName: 179, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.502567536918239, std values: 4.884060914150176, min values: 6.259e-07, max values: 39.832, median values: 0.2158, and quantile values: 0.25 0.068112\n0.50 0.215800\n0.75 0.933715\nName: 180, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4316500229817612, std values: 4.856837002859249, min values: 1.987e-06, max values: 40.28, median values: 0.22246, and quantile values: 0.25 0.059514\n0.50 0.222460\n0.75 0.798080\nName: 181, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2294475607440252, std values: 4.816170736897011, min values: 1.355e-06, max values: 38.975, median values: 0.12868, and quantile values: 0.25 0.047682\n0.50 0.128680\n0.75 0.636070\nName: 182, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3499388045133336, std values: 4.737450765185428, min values: 8.7962e-07, max values: 37.857, median values: 0.22001, and quantile values: 0.25 0.064047\n0.50 0.220010\n0.75 0.745805\nName: 183, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5238610835650692, std values: 4.738748953424187, min values: 5.7046e-08, max values: 38.279, median values: 0.24789, and quantile values: 0.25 0.065938\n0.50 0.247890\n0.75 0.977105\nName: 184, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5803392133276728, std values: 5.299457100575726, min values: 2.3381e-06, max values: 44.647, median values: 0.27668, and quantile values: 0.25 0.067735\n0.50 0.276680\n0.75 1.026000\nName: 185, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6068672423924528, std values: 5.094421731890316, min values: 1.7466e-06, max values: 41.025, median values: 0.24497, and quantile values: 0.25 0.074107\n0.50 0.244970\n0.75 1.055200\nName: 186, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4447301988125787, std values: 5.033086367703398, min values: 1.937e-06, max values: 42.013, median values: 0.2147, and quantile values: 0.25 0.06900\n0.50 0.21470\n0.75 0.87524\nName: 187, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5595391938314465, std values: 5.288806769373351, min values: 2.1846e-06, max values: 46.004, median values: 0.23135, and quantile values: 0.25 0.063698\n0.50 0.231350\n0.75 0.922905\nName: 188, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4736241359245281, std values: 4.753486898066887, min values: 1.7104e-06, max values: 38.599, median values: 0.23925, and quantile values: 0.25 0.062156\n0.50 0.239250\n0.75 0.911540\nName: 189, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6081358955796228, std values: 4.92058509511005, min values: 5.0756e-07, max values: 38.901, median values: 0.2628, and quantile values: 0.25 0.066917\n0.50 0.262800\n0.75 1.110900\nName: 190, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5487784728377358, std values: 5.12850178222617, min values: 2.7434e-06, max values: 41.736, median values: 0.23667, and quantile values: 0.25 0.06939\n0.50 0.23667\n0.75 0.95998\nName: 191, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3362358251316984, std values: 4.813526695926083, min values: 1.1824e-07, max values: 40.139, median values: 0.18534, and quantile values: 0.25 0.046968\n0.50 0.185340\n0.75 0.729745\nName: 192, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4419747934261635, std values: 4.858547632817761, min values: 7.7786e-07, max values: 39.672, median values: 0.23074, and quantile values: 0.25 0.066493\n0.50 0.230740\n0.75 0.847035\nName: 193, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5334281744748426, std values: 4.997535349966371, min values: 1.2349e-06, max values: 40.724, median values: 0.23365, and quantile values: 0.25 0.069007\n0.50 0.233650\n0.75 0.986560\nName: 194, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8464836675245284, std values: 5.318982613380097, min values: 5.6662e-06, max values: 41.405, median values: 0.33167, and quantile values: 0.25 0.082897\n0.50 0.331670\n0.75 1.148850\nName: 195, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3149647841904404, std values: 4.630426309894745, min values: 4.7638e-07, max values: 37.927, median values: 0.21076, and quantile values: 0.25 0.055991\n0.50 0.210760\n0.75 0.701085\nName: 196, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.673065706810063, std values: 5.345308699227096, min values: 1.2745e-06, max values: 46.353, median values: 0.26183, and quantile values: 0.25 0.077919\n0.50 0.261830\n0.75 1.082950\nName: 197, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.417886930527673, std values: 5.066685213691349, min values: 2.8948e-06, max values: 41.256, median values: 0.21223, and quantile values: 0.25 0.065577\n0.50 0.212230\n0.75 0.755545\nName: 198, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3657998895623897, std values: 4.799049478184858, min values: 1.1344e-07, max values: 40.071, median values: 0.1789, and quantile values: 0.25 0.038925\n0.50 0.178900\n0.75 0.743105\nName: 199, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.602768961546541, std values: 4.981226076363583, min values: 2.2074e-06, max values: 39.205, median values: 0.30878, and quantile values: 0.25 0.084318\n0.50 0.308780\n0.75 1.054885\nName: 200, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5529156554396226, std values: 4.875837664218416, min values: 3.4792e-06, max values: 39.565, median values: 0.24487, and quantile values: 0.25 0.066065\n0.50 0.244870\n0.75 0.984165\nName: 201, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5693862968144654, std values: 4.985335901775371, min values: 3.9998e-06, max values: 39.309, median values: 0.26358, and quantile values: 0.25 0.077155\n0.50 0.263580\n0.75 0.996965\nName: 202, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4316092875069182, std values: 4.976633737959025, min values: 1.4638e-06, max values: 41.29, median values: 0.22172, and quantile values: 0.25 0.058289\n0.50 0.221720\n0.75 0.751385\nName: 203, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5021737809377358, std values: 4.82493593696601, min values: 1.0603e-06, max values: 38.846, median values: 0.19532, and quantile values: 0.25 0.061259\n0.50 0.195320\n0.75 0.963665\nName: 204, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8569308315440247, std values: 5.3435309417579955, min values: 6.6355e-06, max values: 41.092, median values: 0.33612, and quantile values: 0.25 0.093966\n0.50 0.336120\n0.75 1.219550\nName: 205, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5343210279867925, std values: 4.905918894302905, min values: 2.179e-08, max values: 40.766, median values: 0.23292, and quantile values: 0.25 0.048033\n0.50 0.232920\n0.75 0.909425\nName: 206, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5206920388421385, std values: 4.9649035340739, min values: 2.2103e-06, max values: 39.959, median values: 0.25172, and quantile values: 0.25 0.066045\n0.50 0.251720\n0.75 0.929085\nName: 207, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2040452383172326, std values: 4.620932768615538, min values: 4.5085e-07, max values: 36.998, median values: 0.12726, and quantile values: 0.25 0.032285\n0.50 0.127260\n0.75 0.596730\nName: 208, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2632061692747671, std values: 4.546941589128028, min values: 2.6328e-08, max values: 36.769, median values: 0.18971, and quantile values: 0.25 0.040112\n0.50 0.189710\n0.75 0.715295\nName: 209, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4991787878483018, std values: 5.17021145738163, min values: 7.2598e-07, max values: 45.393, median values: 0.20288, and quantile values: 0.25 0.060247\n0.50 0.202880\n0.75 0.883315\nName: 210, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4269440683320755, std values: 4.755723904049142, min values: 1.3582e-06, max values: 38.286, median values: 0.24767, and quantile values: 0.25 0.070187\n0.50 0.247670\n0.75 0.852835\nName: 211, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3608358315490565, std values: 4.881729779500167, min values: 4.1381e-06, max values: 40.35, median values: 0.18266, and quantile values: 0.25 0.063428\n0.50 0.182660\n0.75 0.729475\nName: 212, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4340879942454718, std values: 4.860841786585589, min values: 7.6453e-07, max values: 39.582, median values: 0.20204, and quantile values: 0.25 0.056225\n0.50 0.202040\n0.75 0.808535\nName: 213, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3251686067893083, std values: 4.729050686160698, min values: 1.1241e-06, max values: 38.415, median values: 0.19981, and quantile values: 0.25 0.054602\n0.50 0.199810\n0.75 0.742070\nName: 214, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4608734138144657, std values: 5.009949787690468, min values: 1.4247e-06, max values: 41.352, median values: 0.19689, and quantile values: 0.25 0.062931\n0.50 0.196890\n0.75 0.818000\nName: 215, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4261486724452828, std values: 4.677037842011812, min values: 1.2304e-06, max values: 38.815, median values: 0.20191, and quantile values: 0.25 0.070502\n0.50 0.201910\n0.75 0.889535\nName: 216, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6512623184081758, std values: 5.129645575924007, min values: 5.0437e-06, max values: 40.908, median values: 0.2876, and quantile values: 0.25 0.080726\n0.50 0.287600\n0.75 1.004850\nName: 217, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4519072894911196, std values: 4.801546451719231, min values: 3.0838e-08, max values: 38.888, median values: 0.22372, and quantile values: 0.25 0.046034\n0.50 0.223720\n0.75 0.861940\nName: 218, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5355944928056604, std values: 5.095501220278662, min values: 1.952e-06, max values: 42.161, median values: 0.22351, and quantile values: 0.25 0.069404\n0.50 0.223510\n0.75 0.909785\nName: 219, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5952214767415096, std values: 4.881800094930739, min values: 1.6326e-06, max values: 38.468, median values: 0.26301, and quantile values: 0.25 0.074579\n0.50 0.263010\n0.75 1.064650\nName: 220, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.67367510457044, std values: 5.076129371362985, min values: 2.7808e-06, max values: 39.54, median values: 0.31143, and quantile values: 0.25 0.076515\n0.50 0.311430\n0.75 1.053800\nName: 221, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.570502239401258, std values: 5.067042127443124, min values: 4.1714e-06, max values: 40.029, median values: 0.25148, and quantile values: 0.25 0.072887\n0.50 0.251480\n0.75 0.908440\nName: 222, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5300863885163525, std values: 4.91236890144835, min values: 2.0042e-06, max values: 38.776, median values: 0.24655, and quantile values: 0.25 0.070788\n0.50 0.246550\n0.75 0.990405\nName: 223, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6818969946295597, std values: 5.1879495529461295, min values: 3.8536e-06, max values: 41.791, median values: 0.26557, and quantile values: 0.25 0.08447\n0.50 0.26557\n0.75 1.08805\nName: 224, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4722558323968553, std values: 5.065392342190673, min values: 2.1995e-06, max values: 41.693, median values: 0.23765, and quantile values: 0.25 0.065579\n0.50 0.237650\n0.75 0.935375\nName: 225, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6627117068514465, std values: 5.114857103889827, min values: 1.5034e-07, max values: 43.171, median values: 0.24416, and quantile values: 0.25 0.057856\n0.50 0.244160\n0.75 1.093600\nName: 226, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3400169191930817, std values: 4.835997016398044, min values: 1.73e-06, max values: 39.144, median values: 0.18919, and quantile values: 0.25 0.05589\n0.50 0.18919\n0.75 0.74931\nName: 227, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3341626327647798, std values: 4.631612568317223, min values: 1.6295e-06, max values: 39.525, median values: 0.2011, and quantile values: 0.25 0.057809\n0.50 0.201100\n0.75 0.775480\nName: 228, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5343721400974843, std values: 4.874206755085603, min values: 1.3433e-06, max values: 38.534, median values: 0.26054, and quantile values: 0.25 0.072885\n0.50 0.260540\n0.75 0.992120\nName: 229, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2597351965908805, std values: 4.493709746693304, min values: 1.507e-07, max values: 37.02, median values: 0.20004, and quantile values: 0.25 0.05012\n0.50 0.20004\n0.75 0.68491\nName: 230, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5888841126071698, std values: 5.099813896628033, min values: 5.4354e-07, max values: 42.831, median values: 0.26295, and quantile values: 0.25 0.066266\n0.50 0.262950\n0.75 1.001550\nName: 231, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7858805304377359, std values: 5.337231268724704, min values: 1.9541e-06, max values: 44.772, median values: 0.32131, and quantile values: 0.25 0.084178\n0.50 0.321310\n0.75 1.254400\nName: 232, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3010224466866038, std values: 4.55003434226733, min values: 2.8597e-07, max values: 36.869, median values: 0.18497, and quantile values: 0.25 0.052448\n0.50 0.184970\n0.75 0.746040\nName: 233, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4258959974996228, std values: 4.768301202914979, min values: 4.5384e-07, max values: 37.826, median values: 0.20683, and quantile values: 0.25 0.054345\n0.50 0.206830\n0.75 0.814010\nName: 234, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4512362304896982, std values: 4.810182899514078, min values: 3.5702e-08, max values: 39.093, median values: 0.21345, and quantile values: 0.25 0.055456\n0.50 0.213450\n0.75 0.888620\nName: 235, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6608363024455346, std values: 5.067485856709934, min values: 9.1484e-07, max values: 41.134, median values: 0.25441, and quantile values: 0.25 0.067645\n0.50 0.254410\n0.75 1.095300\nName: 236, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5299852830981133, std values: 4.940018630296703, min values: 2.4464e-06, max values: 39.056, median values: 0.24621, and quantile values: 0.25 0.081153\n0.50 0.246210\n0.75 0.943265\nName: 237, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4635592836685536, std values: 4.746915440938656, min values: 1.4416e-06, max values: 39.294, median values: 0.21442, and quantile values: 0.25 0.063944\n0.50 0.214420\n0.75 0.974290\nName: 238, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4703979035534591, std values: 4.990834510202226, min values: 3.3931e-06, max values: 39.757, median values: 0.21955, and quantile values: 0.25 0.063619\n0.50 0.219550\n0.75 0.846935\nName: 239, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.392471089872327, std values: 4.788309103905271, min values: 1.1335e-06, max values: 39.835, median values: 0.21274, and quantile values: 0.25 0.054331\n0.50 0.212740\n0.75 0.864975\nName: 240, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2953125486160566, std values: 4.638863297164866, min values: 1.9333e-08, max values: 37.546, median values: 0.19034, and quantile values: 0.25 0.048300\n0.50 0.190340\n0.75 0.755785\nName: 241, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3233755679759436, std values: 4.972045484751453, min values: 4.2175e-08, max values: 42.03, median values: 0.14957, and quantile values: 0.25 0.042973\n0.50 0.149570\n0.75 0.748815\nName: 242, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.720426285067296, std values: 5.19744917435571, min values: 2.6645e-06, max values: 41.541, median values: 0.30974, and quantile values: 0.25 0.078199\n0.50 0.309740\n0.75 1.197750\nName: 243, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5115215979559748, std values: 4.992697043286735, min values: 2.8263e-06, max values: 39.742, median values: 0.22317, and quantile values: 0.25 0.065877\n0.50 0.223170\n0.75 0.947220\nName: 244, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.68605021256478, std values: 4.9414572374115515, min values: 1.875e-06, max values: 38.321, median values: 0.28202, and quantile values: 0.25 0.077098\n0.50 0.282020\n0.75 1.132500\nName: 245, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.520340161712579, std values: 5.077990028530488, min values: 2.6596e-06, max values: 40.643, median values: 0.23084, and quantile values: 0.25 0.065168\n0.50 0.230840\n0.75 0.919810\nName: 246, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3025089641339371, std values: 4.8266981206938535, min values: 1.8796e-08, max values: 40.074, median values: 0.14507, and quantile values: 0.25 0.043706\n0.50 0.145070\n0.75 0.691205\nName: 247, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5880723165107546, std values: 5.058943890206496, min values: 9.8751e-07, max values: 41.752, median values: 0.19896, and quantile values: 0.25 0.060331\n0.50 0.198960\n0.75 0.949025\nName: 248, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8454428071591193, std values: 5.414909151139194, min values: 2.3344e-06, max values: 45.451, median values: 0.29937, and quantile values: 0.25 0.080326\n0.50 0.299370\n0.75 1.122900\nName: 249, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6461640711798742, std values: 5.07507531563294, min values: 3.3128e-06, max values: 39.701, median values: 0.25796, and quantile values: 0.25 0.081007\n0.50 0.257960\n0.75 1.025200\nName: 250, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2500828293654087, std values: 4.857715776019399, min values: 1.7198e-06, max values: 38.807, median values: 0.13295, and quantile values: 0.25 0.041318\n0.50 0.132950\n0.75 0.493350\nName: 251, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4420394495314466, std values: 4.883363884266137, min values: 1.4635e-06, max values: 39.411, median values: 0.2191, and quantile values: 0.25 0.068065\n0.50 0.219100\n0.75 0.850430\nName: 252, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3417167919014465, std values: 4.781349155882504, min values: 2.9533e-07, max values: 38.985, median values: 0.17533, and quantile values: 0.25 0.048726\n0.50 0.175330\n0.75 0.735065\nName: 253, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.383932082172956, std values: 4.750752180488281, min values: 1.3026e-06, max values: 38.874, median values: 0.19563, and quantile values: 0.25 0.063472\n0.50 0.195630\n0.75 0.815085\nName: 254, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2670153427757231, std values: 4.679586601008736, min values: 2.214e-08, max values: 38.093, median values: 0.17386, and quantile values: 0.25 0.045035\n0.50 0.173860\n0.75 0.664150\nName: 255, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5007582775991195, std values: 4.914104239891734, min values: 3.3596e-07, max values: 40.56, median values: 0.20702, and quantile values: 0.25 0.056550\n0.50 0.207020\n0.75 0.882775\nName: 256, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4439595844779873, std values: 4.960834959140847, min values: 2.0175e-06, max values: 40.305, median values: 0.21699, and quantile values: 0.25 0.062196\n0.50 0.216990\n0.75 0.823865\nName: 257, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5332886580654086, std values: 4.875601389294334, min values: 1.6869e-06, max values: 39.094, median values: 0.23495, and quantile values: 0.25 0.071060\n0.50 0.234950\n0.75 0.964395\nName: 258, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5721357825603772, std values: 4.859756638965132, min values: 1.3634e-06, max values: 38.015, median values: 0.27735, and quantile values: 0.25 0.073878\n0.50 0.277350\n0.75 1.046000\nName: 259, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.289182758103522, std values: 4.6702797120733335, min values: 1.9761e-07, max values: 37.658, median values: 0.19566, and quantile values: 0.25 0.043835\n0.50 0.195660\n0.75 0.747815\nName: 260, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6534454011937108, std values: 5.249051725900786, min values: 3.6256e-06, max values: 42.558, median values: 0.26072, and quantile values: 0.25 0.071182\n0.50 0.260720\n0.75 1.005060\nName: 261, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4561763929693774, std values: 4.744708830437703, min values: 2.1801e-08, max values: 37.723, median values: 0.18078, and quantile values: 0.25 0.049071\n0.50 0.180780\n0.75 0.959245\nName: 262, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5162152130886792, std values: 4.773845149870207, min values: 1.5242e-06, max values: 38.352, median values: 0.22617, and quantile values: 0.25 0.073117\n0.50 0.226170\n0.75 0.892820\nName: 263, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5353416987477986, std values: 5.037892434748426, min values: 1.3923e-06, max values: 41.031, median values: 0.24615, and quantile values: 0.25 0.063604\n0.50 0.246150\n0.75 0.952120\nName: 264, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5253854661226416, std values: 5.192854627858898, min values: 3.6995e-06, max values: 42.368, median values: 0.21916, and quantile values: 0.25 0.072433\n0.50 0.219160\n0.75 0.826880\nName: 265, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.639565554010063, std values: 5.02410999553501, min values: 1.7574e-06, max values: 40.057, median values: 0.2602, and quantile values: 0.25 0.069628\n0.50 0.260200\n0.75 1.121450\nName: 266, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.454428538806069, std values: 5.028000012569996, min values: 4.4605e-08, max values: 43.826, median values: 0.15866, and quantile values: 0.25 0.042381\n0.50 0.158660\n0.75 0.772380\nName: 267, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5289561347119496, std values: 5.28050120354395, min values: 3.3289e-06, max values: 44.47, median values: 0.19741, and quantile values: 0.25 0.050055\n0.50 0.197410\n0.75 0.886135\nName: 268, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4496925953540882, std values: 5.039467176631825, min values: 1.3122e-06, max values: 41.047, median values: 0.20551, and quantile values: 0.25 0.052687\n0.50 0.205510\n0.75 0.825095\nName: 269, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5453280701245284, std values: 4.957297384038584, min values: 1.742e-06, max values: 39.383, median values: 0.2368, and quantile values: 0.25 0.071957\n0.50 0.236800\n0.75 0.961625\nName: 270, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3402091435762895, std values: 4.647135087345507, min values: 2.1968e-07, max values: 36.745, median values: 0.15042, and quantile values: 0.25 0.039980\n0.50 0.150420\n0.75 0.707035\nName: 271, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3439084504484275, std values: 4.701749394949714, min values: 2.1267e-06, max values: 38.253, median values: 0.2039, and quantile values: 0.25 0.059775\n0.50 0.203900\n0.75 0.788880\nName: 272, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3511914661100628, std values: 4.800841984290711, min values: 1.8264e-06, max values: 40.301, median values: 0.21021, and quantile values: 0.25 0.053427\n0.50 0.210210\n0.75 0.776005\nName: 273, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3907632024377359, std values: 5.2192496325656474, min values: 1.6984e-06, max values: 46.486, median values: 0.18996, and quantile values: 0.25 0.055099\n0.50 0.189960\n0.75 0.722375\nName: 274, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5710617779339624, std values: 4.984746069878747, min values: 4.2872e-06, max values: 40.135, median values: 0.23863, and quantile values: 0.25 0.070699\n0.50 0.238630\n0.75 0.992100\nName: 275, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.552745978774214, std values: 5.023841752810037, min values: 2.6368e-06, max values: 40.099, median values: 0.25942, and quantile values: 0.25 0.071255\n0.50 0.259420\n0.75 1.023250\nName: 276, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6751029007396228, std values: 5.105094793702357, min values: 2.4801e-06, max values: 40.726, median values: 0.25674, and quantile values: 0.25 0.072674\n0.50 0.256740\n0.75 1.179500\nName: 277, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4294306109901889, std values: 5.068498599065735, min values: 8.3724e-07, max values: 42.045, median values: 0.179, and quantile values: 0.25 0.048053\n0.50 0.179000\n0.75 0.789755\nName: 278, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.41934076861195, std values: 4.638608227417558, min values: 1.1928e-06, max values: 37.265, median values: 0.20257, and quantile values: 0.25 0.064755\n0.50 0.202570\n0.75 0.876595\nName: 279, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.501551895238994, std values: 5.0223183110357255, min values: 3.2105e-06, max values: 40.105, median values: 0.22851, and quantile values: 0.25 0.066618\n0.50 0.228510\n0.75 0.870570\nName: 280, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5708988271591195, std values: 5.001544793661619, min values: 2.4694e-06, max values: 40.147, median values: 0.25782, and quantile values: 0.25 0.073547\n0.50 0.257820\n0.75 0.955910\nName: 281, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4024640263472326, std values: 4.982559792263999, min values: 9.6421e-07, max values: 41.789, median values: 0.21766, and quantile values: 0.25 0.057911\n0.50 0.217660\n0.75 0.786605\nName: 282, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2573149350949686, std values: 4.85625185811632, min values: 1.6314e-06, max values: 39.539, median values: 0.1706, and quantile values: 0.25 0.051500\n0.50 0.170600\n0.75 0.679915\nName: 283, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5478706615457234, std values: 5.100180125978425, min values: 2.0497e-07, max values: 43.717, median values: 0.208, and quantile values: 0.25 0.066536\n0.50 0.208000\n0.75 0.952820\nName: 284, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5674746701597484, std values: 5.106585104464797, min values: 3.1395e-06, max values: 41.689, median values: 0.24589, and quantile values: 0.25 0.070353\n0.50 0.245890\n0.75 0.942360\nName: 285, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3990551585251574, std values: 4.834240176189556, min values: 1.4468e-06, max values: 39.019, median values: 0.19631, and quantile values: 0.25 0.059090\n0.50 0.196310\n0.75 0.783855\nName: 286, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7093831490830187, std values: 5.061620027386335, min values: 2.1325e-06, max values: 39.928, median values: 0.30205, and quantile values: 0.25 0.078087\n0.50 0.302050\n0.75 1.144550\nName: 287, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3786314486292452, std values: 4.907103133164274, min values: 3.9875e-07, max values: 41.012, median values: 0.17295, and quantile values: 0.25 0.050766\n0.50 0.172950\n0.75 0.771295\nName: 288, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5490190498622642, std values: 4.939909484189961, min values: 1.2029e-06, max values: 39.224, median values: 0.25674, and quantile values: 0.25 0.078810\n0.50 0.256740\n0.75 0.975575\nName: 289, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5740859598091825, std values: 5.18062352185626, min values: 4.3316e-07, max values: 44.015, median values: 0.2236, and quantile values: 0.25 0.054658\n0.50 0.223600\n0.75 0.966400\nName: 290, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6156844708078615, std values: 4.9772824757731104, min values: 1.0815e-07, max values: 40.358, median values: 0.22436, and quantile values: 0.25 0.063122\n0.50 0.224360\n0.75 1.066250\nName: 291, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6576130892037735, std values: 5.172949027391837, min values: 6.0646e-06, max values: 40.94, median values: 0.2674, and quantile values: 0.25 0.082651\n0.50 0.267400\n0.75 0.996825\nName: 292, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6339041178522014, std values: 5.382844322177419, min values: 3.8716e-06, max values: 45.935, median values: 0.25985, and quantile values: 0.25 0.077281\n0.50 0.259850\n0.75 0.988620\nName: 293, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3259056154654087, std values: 4.806207411865936, min values: 1.3018e-06, max values: 39.324, median values: 0.16776, and quantile values: 0.25 0.052673\n0.50 0.167760\n0.75 0.677015\nName: 294, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4337366024353522, std values: 4.77852331973198, min values: 2.2701e-08, max values: 38.465, median values: 0.20921, and quantile values: 0.25 0.046023\n0.50 0.209210\n0.75 0.880845\nName: 295, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5590519330099875, std values: 4.792437788088581, min values: 2.0998e-08, max values: 37.881, median values: 0.21259, and quantile values: 0.25 0.044158\n0.50 0.212590\n0.75 0.963805\nName: 296, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7185948630654087, std values: 5.040029900704459, min values: 2.0914e-06, max values: 39.29, median values: 0.27445, and quantile values: 0.25 0.082326\n0.50 0.274450\n0.75 1.234150\nName: 297, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.459859122988113, std values: 5.008011302240264, min values: 3.3681e-07, max values: 42.263, median values: 0.20847, and quantile values: 0.25 0.057577\n0.50 0.208470\n0.75 0.907825\nName: 298, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.545881693466541, std values: 4.9995391649345065, min values: 6.8658e-07, max values: 41.056, median values: 0.23993, and quantile values: 0.25 0.073669\n0.50 0.239930\n0.75 0.959910\nName: 299, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.219586252344717, std values: 4.529342015934123, min values: 0.0, max values: 36.823, median values: 0.15825, and quantile values: 0.25 0.044409\n0.50 0.158250\n0.75 0.684215\nName: 300, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5532398931207547, std values: 5.01404338936042, min values: 7.0492e-06, max values: 42.045, median values: 0.1939, and quantile values: 0.25 0.057717\n0.50 0.193900\n0.75 0.807895\nName: 301, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6665127147805028, std values: 5.078370205845646, min values: 5.3898e-06, max values: 40.833, median values: 0.27971, and quantile values: 0.25 0.075301\n0.50 0.279710\n0.75 1.053300\nName: 302, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.347066553976761, std values: 4.6674085186185925, min values: 1.4773e-08, max values: 37.849, median values: 0.133, and quantile values: 0.25 0.028792\n0.50 0.133000\n0.75 0.724465\nName: 303, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5311665912716979, std values: 4.960223859154859, min values: 1.1495e-06, max values: 40.359, median values: 0.21163, and quantile values: 0.25 0.06454\n0.50 0.21163\n0.75 0.97327\nName: 304, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3844115313698113, std values: 4.939123034883475, min values: 2.1635e-06, max values: 39.848, median values: 0.20233, and quantile values: 0.25 0.057759\n0.50 0.202330\n0.75 0.719365\nName: 305, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6033213732849059, std values: 4.877088552324416, min values: 2.2733e-06, max values: 38.57, median values: 0.26789, and quantile values: 0.25 0.071056\n0.50 0.267890\n0.75 1.087250\nName: 306, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5069777100661637, std values: 4.918614299776011, min values: 3.4662e-07, max values: 39.094, median values: 0.23749, and quantile values: 0.25 0.051283\n0.50 0.237490\n0.75 0.905140\nName: 307, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4000151441823523, std values: 4.818959193854321, min values: 1.7794e-08, max values: 39.078, median values: 0.19016, and quantile values: 0.25 0.056384\n0.50 0.190160\n0.75 0.842180\nName: 308, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5455838023532074, std values: 5.00594779628837, min values: 4.9256e-07, max values: 41.547, median values: 0.22784, and quantile values: 0.25 0.062570\n0.50 0.227840\n0.75 0.996875\nName: 309, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.772618898609434, std values: 5.133120804828857, min values: 3.0237e-06, max values: 39.95, median values: 0.3378, and quantile values: 0.25 0.08016\n0.50 0.33780\n0.75 1.26510\nName: 310, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6626923830433962, std values: 4.9867917842130405, min values: 7.2199e-06, max values: 40.037, median values: 0.28519, and quantile values: 0.25 0.093586\n0.50 0.285190\n0.75 0.965375\nName: 311, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2997353636498743, std values: 4.780522339028715, min values: 8.6313e-07, max values: 38.487, median values: 0.1691, and quantile values: 0.25 0.058848\n0.50 0.169100\n0.75 0.719090\nName: 312, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5946267885635221, std values: 4.903512180365633, min values: 4.3765e-06, max values: 39.778, median values: 0.27061, and quantile values: 0.25 0.08367\n0.50 0.27061\n0.75 1.05025\nName: 313, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3951564457044023, std values: 4.861860020844619, min values: 1.317e-06, max values: 39.733, median values: 0.2202, and quantile values: 0.25 0.055863\n0.50 0.220200\n0.75 0.819465\nName: 314, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5634977799119498, std values: 4.910922333523896, min values: 4.8045e-06, max values: 39.534, median values: 0.26215, and quantile values: 0.25 0.084488\n0.50 0.262150\n0.75 0.997480\nName: 315, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.688089958610063, std values: 5.183494235200109, min values: 6.4754e-06, max values: 40.796, median values: 0.2962, and quantile values: 0.25 0.086778\n0.50 0.296200\n0.75 1.036050\nName: 316, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5028457615314466, std values: 4.897963098671812, min values: 1.4557e-06, max values: 38.762, median values: 0.23339, and quantile values: 0.25 0.067982\n0.50 0.233390\n0.75 0.918715\nName: 317, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.759795818527044, std values: 5.293140274720023, min values: 6.2533e-06, max values: 41.589, median values: 0.31254, and quantile values: 0.25 0.08806\n0.50 0.31254\n0.75 1.09580\nName: 318, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1520365651402515, std values: 4.571245262969839, min values: 1.0615e-06, max values: 39.167, median values: 0.14361, and quantile values: 0.25 0.042852\n0.50 0.143610\n0.75 0.562985\nName: 319, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4973495948002515, std values: 4.928442716366029, min values: 4.4748e-07, max values: 40.741, median values: 0.2005, and quantile values: 0.25 0.050832\n0.50 0.200500\n0.75 0.817100\nName: 320, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.343214435642138, std values: 4.842238793153521, min values: 2.5616e-06, max values: 40.183, median values: 0.18518, and quantile values: 0.25 0.059217\n0.50 0.185180\n0.75 0.734610\nName: 321, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4036287430209435, std values: 4.757016611050127, min values: 2.8813e-07, max values: 37.824, median values: 0.19032, and quantile values: 0.25 0.056292\n0.50 0.190320\n0.75 0.877885\nName: 322, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5049964123075474, std values: 4.94007730367166, min values: 3.0692e-06, max values: 39.737, median values: 0.23392, and quantile values: 0.25 0.068219\n0.50 0.233920\n0.75 0.942010\nName: 323, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5490327206122638, std values: 4.824361427470301, min values: 7.2465e-07, max values: 38.254, median values: 0.27695, and quantile values: 0.25 0.066244\n0.50 0.276950\n0.75 1.047900\nName: 324, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5499589093216353, std values: 4.927286606644395, min values: 1.7064e-07, max values: 40.758, median values: 0.22059, and quantile values: 0.25 0.059273\n0.50 0.220590\n0.75 0.964550\nName: 325, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4720607705618869, std values: 4.851318225504165, min values: 6.3724e-07, max values: 39.457, median values: 0.24721, and quantile values: 0.25 0.059286\n0.50 0.247210\n0.75 0.944780\nName: 326, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6255157958680504, std values: 5.083742281509029, min values: 8.5962e-07, max values: 42.152, median values: 0.27422, and quantile values: 0.25 0.070608\n0.50 0.274220\n0.75 1.091350\nName: 327, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3144394836057862, std values: 4.605893138369432, min values: 2.0061e-07, max values: 36.761, median values: 0.1755, and quantile values: 0.25 0.054078\n0.50 0.175500\n0.75 0.728380\nName: 328, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4418838885768555, std values: 4.925642859120397, min values: 9.3912e-07, max values: 40.052, median values: 0.21286, and quantile values: 0.25 0.055732\n0.50 0.212860\n0.75 0.883980\nName: 329, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.439527625307547, std values: 4.747719842296023, min values: 1.0363e-06, max values: 38.639, median values: 0.19028, and quantile values: 0.25 0.058645\n0.50 0.190280\n0.75 0.866770\nName: 330, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.370967209145283, std values: 4.6454289521662915, min values: 1.9278e-06, max values: 38.717, median values: 0.20467, and quantile values: 0.25 0.078705\n0.50 0.204670\n0.75 0.802285\nName: 331, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6563597583867926, std values: 4.955498403101863, min values: 1.0812e-06, max values: 38.382, median values: 0.28353, and quantile values: 0.25 0.073197\n0.50 0.283530\n0.75 1.045200\nName: 332, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4424850927018866, std values: 4.896508617367757, min values: 1.4769e-06, max values: 39.754, median values: 0.19904, and quantile values: 0.25 0.058855\n0.50 0.199040\n0.75 0.851985\nName: 333, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6105687718427673, std values: 5.180244032626194, min values: 3.6584e-06, max values: 41.686, median values: 0.24576, and quantile values: 0.25 0.070625\n0.50 0.245760\n0.75 0.993185\nName: 334, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.422670520870629, std values: 4.589141104726772, min values: 1.0473e-07, max values: 37.663, median values: 0.2019, and quantile values: 0.25 0.055984\n0.50 0.201900\n0.75 0.902610\nName: 335, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5312197819096853, std values: 4.813463502637978, min values: 5.4144e-07, max values: 37.71, median values: 0.27046, and quantile values: 0.25 0.060848\n0.50 0.270460\n0.75 0.963755\nName: 336, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5368834054377356, std values: 4.907053608960975, min values: 1.4129e-06, max values: 38.818, median values: 0.25947, and quantile values: 0.25 0.070787\n0.50 0.259470\n0.75 0.965125\nName: 337, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5569599517371067, std values: 4.877260002354832, min values: 1.8394e-06, max values: 38.985, median values: 0.24525, and quantile values: 0.25 0.067355\n0.50 0.245250\n0.75 1.043700\nName: 338, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4361430246578617, std values: 4.85403324114286, min values: 3.6402e-06, max values: 39.995, median values: 0.22015, and quantile values: 0.25 0.063873\n0.50 0.220150\n0.75 0.804700\nName: 339, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5390619021389935, std values: 4.935761148500598, min values: 3.2213e-06, max values: 40.299, median values: 0.2281, and quantile values: 0.25 0.070550\n0.50 0.228100\n0.75 0.940625\nName: 340, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4801660157301888, std values: 4.978499975304331, min values: 2.4375e-06, max values: 39.991, median values: 0.2205, and quantile values: 0.25 0.065312\n0.50 0.220500\n0.75 0.854965\nName: 341, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.414304298089937, std values: 4.934153616868406, min values: 2.2671e-06, max values: 40.9, median values: 0.21806, and quantile values: 0.25 0.054289\n0.50 0.218060\n0.75 0.798585\nName: 342, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6457556901484276, std values: 5.179518193574643, min values: 2.574e-06, max values: 42.257, median values: 0.30642, and quantile values: 0.25 0.073402\n0.50 0.306420\n0.75 1.052835\nName: 343, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.429154450781761, std values: 4.871045652542835, min values: 1.6804e-06, max values: 38.953, median values: 0.21292, and quantile values: 0.25 0.061387\n0.50 0.212920\n0.75 0.908265\nName: 344, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3335561379727046, std values: 4.618609243349656, min values: 8.2556e-07, max values: 37.287, median values: 0.19477, and quantile values: 0.25 0.057004\n0.50 0.194770\n0.75 0.785880\nName: 345, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4461692611540882, std values: 4.926383382994983, min values: 2.8827e-06, max values: 40.019, median values: 0.2192, and quantile values: 0.25 0.058217\n0.50 0.219200\n0.75 0.845820\nName: 346, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5710831094779876, std values: 4.854413290181286, min values: 2.2007e-06, max values: 39.308, median values: 0.26291, and quantile values: 0.25 0.075873\n0.50 0.262910\n0.75 1.013950\nName: 347, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4819349071974843, std values: 5.015367018190238, min values: 1.7618e-06, max values: 40.832, median values: 0.21277, and quantile values: 0.25 0.063215\n0.50 0.212770\n0.75 0.868120\nName: 348, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4866314310540878, std values: 5.014364684521419, min values: 1.517e-06, max values: 40.734, median values: 0.23638, and quantile values: 0.25 0.059913\n0.50 0.236380\n0.75 0.939035\nName: 349, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4084392201716982, std values: 4.938973435881421, min values: 4.2261e-06, max values: 39.827, median values: 0.20458, and quantile values: 0.25 0.067788\n0.50 0.204580\n0.75 0.785880\nName: 350, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8494057862339621, std values: 5.104851689764617, min values: 1.6564e-06, max values: 39.404, median values: 0.32978, and quantile values: 0.25 0.092061\n0.50 0.329780\n0.75 1.334200\nName: 351, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7429206208238992, std values: 5.145776240542384, min values: 5.589e-06, max values: 40.882, median values: 0.28241, and quantile values: 0.25 0.077874\n0.50 0.282410\n0.75 1.139050\nName: 352, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5589620807528302, std values: 5.438732008501278, min values: 1.0029e-06, max values: 48.705, median values: 0.23781, and quantile values: 0.25 0.067474\n0.50 0.237810\n0.75 0.926635\nName: 353, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.442822610327673, std values: 4.816947492200678, min values: 2.3812e-06, max values: 39.824, median values: 0.21298, and quantile values: 0.25 0.062458\n0.50 0.212980\n0.75 0.848560\nName: 354, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4358162212333334, std values: 4.938140362479903, min values: 3.286e-06, max values: 40.668, median values: 0.22176, and quantile values: 0.25 0.059442\n0.50 0.221760\n0.75 0.779100\nName: 355, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6819523471283018, std values: 5.325597518684241, min values: 2.8382e-06, max values: 43.882, median values: 0.26954, and quantile values: 0.25 0.072141\n0.50 0.269540\n0.75 1.116750\nName: 356, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3988645256528303, std values: 4.895381762385039, min values: 1.3566e-06, max values: 39.414, median values: 0.19496, and quantile values: 0.25 0.059803\n0.50 0.194960\n0.75 0.803905\nName: 357, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8144276446610064, std values: 5.176474043036884, min values: 4.8106e-06, max values: 40.455, median values: 0.34677, and quantile values: 0.25 0.085157\n0.50 0.346770\n0.75 1.241550\nName: 358, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3435769723238993, std values: 4.781254737631069, min values: 1.0379e-06, max values: 38.46, median values: 0.1794, and quantile values: 0.25 0.056072\n0.50 0.179400\n0.75 0.789945\nName: 359, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7837183513467296, std values: 4.975712616718622, min values: 7.1363e-07, max values: 38.794, median values: 0.33606, and quantile values: 0.25 0.081181\n0.50 0.336060\n0.75 1.320550\nName: 360, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5137433445101949, std values: 5.0918887225051055, min values: 2.7211e-08, max values: 44.421, median values: 0.19707, and quantile values: 0.25 0.046704\n0.50 0.197070\n0.75 0.884060\nName: 361, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2609896350419498, std values: 4.822761642719894, min values: 2.458e-07, max values: 40.599, median values: 0.12326, and quantile values: 0.25 0.039176\n0.50 0.123260\n0.75 0.609580\nName: 362, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7459563969301886, std values: 5.256469965224635, min values: 2.0799e-06, max values: 40.726, median values: 0.27516, and quantile values: 0.25 0.071458\n0.50 0.275160\n0.75 1.114250\nName: 363, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5759036062955973, std values: 5.096829139082157, min values: 1.1864e-06, max values: 42.288, median values: 0.2281, and quantile values: 0.25 0.069275\n0.50 0.228100\n0.75 0.984955\nName: 364, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7532911506352202, std values: 5.072290141343045, min values: 3.3481e-06, max values: 39.786, median values: 0.29332, and quantile values: 0.25 0.07589\n0.50 0.29332\n0.75 1.22420\nName: 365, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3209920217289308, std values: 5.128845411259211, min values: 2.5295e-06, max values: 43.883, median values: 0.16961, and quantile values: 0.25 0.047625\n0.50 0.169610\n0.75 0.634335\nName: 366, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.347968146466541, std values: 4.8859699107951675, min values: 2.4455e-07, max values: 41.263, median values: 0.18481, and quantile values: 0.25 0.048865\n0.50 0.184810\n0.75 0.741485\nName: 367, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3251599129169813, std values: 4.592574094832273, min values: 3.0403e-06, max values: 40.118, median values: 0.18384, and quantile values: 0.25 0.062483\n0.50 0.183840\n0.75 0.712405\nName: 368, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7324223495264153, std values: 5.2043108495952195, min values: 1.1213e-06, max values: 43.094, median values: 0.30607, and quantile values: 0.25 0.073086\n0.50 0.306070\n0.75 1.218200\nName: 369, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4619135774660377, std values: 4.759193996353974, min values: 1.1661e-06, max values: 38.03, median values: 0.26114, and quantile values: 0.25 0.068469\n0.50 0.261140\n0.75 0.869395\nName: 370, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4191492317402516, std values: 4.806119230362307, min values: 1.1196e-06, max values: 38.5, median values: 0.21849, and quantile values: 0.25 0.05558\n0.50 0.21849\n0.75 0.77827\nName: 371, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4023408389584906, std values: 4.76051908978867, min values: 1.1423e-06, max values: 38.49, median values: 0.20283, and quantile values: 0.25 0.061255\n0.50 0.202830\n0.75 0.792380\nName: 372, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2748197447966039, std values: 5.0383081304202255, min values: 4.2166e-07, max values: 44.329, median values: 0.14618, and quantile values: 0.25 0.043789\n0.50 0.146180\n0.75 0.646540\nName: 373, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.481234761781132, std values: 4.787899698975696, min values: 4.0795e-06, max values: 39.096, median values: 0.23468, and quantile values: 0.25 0.076998\n0.50 0.234680\n0.75 0.931195\nName: 374, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.523583629673585, std values: 4.853300723405447, min values: 1.0544e-06, max values: 38.36, median values: 0.26021, and quantile values: 0.25 0.066898\n0.50 0.260210\n0.75 0.959305\nName: 375, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5878411889509436, std values: 4.995450232856214, min values: 5.1327e-06, max values: 40.465, median values: 0.25267, and quantile values: 0.25 0.077097\n0.50 0.252670\n0.75 0.996485\nName: 376, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5339496069320124, std values: 5.211011084136485, min values: 8.9819e-07, max values: 44.48, median values: 0.22463, and quantile values: 0.25 0.061102\n0.50 0.224630\n0.75 0.894455\nName: 377, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3755642626185156, std values: 4.897379851630579, min values: 2.7884e-08, max values: 41.594, median values: 0.20917, and quantile values: 0.25 0.051713\n0.50 0.209170\n0.75 0.782060\nName: 378, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.545773237800629, std values: 5.01718329996968, min values: 2.6671e-06, max values: 39.882, median values: 0.25644, and quantile values: 0.25 0.066289\n0.50 0.256440\n0.75 0.916085\nName: 379, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5500160423647795, std values: 5.173689972921643, min values: 2.4831e-06, max values: 42.943, median values: 0.23556, and quantile values: 0.25 0.063635\n0.50 0.235560\n0.75 0.903775\nName: 380, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.370286222858302, std values: 4.912798085369279, min values: 6.0907e-07, max values: 40.41, median values: 0.17736, and quantile values: 0.25 0.053005\n0.50 0.177360\n0.75 0.772215\nName: 381, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5344375589770438, std values: 5.089784106654843, min values: 2.1455e-07, max values: 42.73, median values: 0.22184, and quantile values: 0.25 0.053069\n0.50 0.221840\n0.75 0.905395\nName: 382, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.486450134408868, std values: 5.177629333196769, min values: 8.7541e-07, max values: 44.664, median values: 0.19999, and quantile values: 0.25 0.063714\n0.50 0.199990\n0.75 0.834495\nName: 383, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4014482992446542, std values: 4.738944721480633, min values: 9.554e-07, max values: 37.816, median values: 0.19119, and quantile values: 0.25 0.057584\n0.50 0.191190\n0.75 0.850540\nName: 384, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3004493451361638, std values: 4.767726411477239, min values: 1.535e-08, max values: 38.755, median values: 0.15613, and quantile values: 0.25 0.038935\n0.50 0.156130\n0.75 0.700010\nName: 385, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.744500119271069, std values: 5.360216817018579, min values: 2.1388e-06, max values: 45.651, median values: 0.30064, and quantile values: 0.25 0.088547\n0.50 0.300640\n0.75 1.151200\nName: 386, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2776584074805033, std values: 4.812679232216881, min values: 2.0137e-06, max values: 39.859, median values: 0.17229, and quantile values: 0.25 0.049984\n0.50 0.172290\n0.75 0.631690\nName: 387, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4640175181968553, std values: 4.940773381457205, min values: 5.0355e-06, max values: 40.323, median values: 0.22799, and quantile values: 0.25 0.065835\n0.50 0.227990\n0.75 0.797005\nName: 388, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.37907833780478, std values: 4.663324409460462, min values: 4.8036e-07, max values: 38.434, median values: 0.19918, and quantile values: 0.25 0.050044\n0.50 0.199180\n0.75 0.811570\nName: 389, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4363522550697485, std values: 4.839605974556701, min values: 5.2869e-07, max values: 38.886, median values: 0.18319, and quantile values: 0.25 0.053598\n0.50 0.183190\n0.75 0.848465\nName: 390, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4479265110729687, std values: 4.783205315607591, min values: 3.4102e-08, max values: 38.034, median values: 0.19227, and quantile values: 0.25 0.049995\n0.50 0.192270\n0.75 0.871505\nName: 391, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4757845748975469, std values: 4.938035898083701, min values: 8.1851e-07, max values: 40.522, median values: 0.20557, and quantile values: 0.25 0.054121\n0.50 0.205570\n0.75 0.995680\nName: 392, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3833477081494276, std values: 4.733934573818925, min values: 1.6199e-08, max values: 38.362, median values: 0.17207, and quantile values: 0.25 0.038101\n0.50 0.172070\n0.75 0.720410\nName: 393, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5084459151635223, std values: 5.273756357693751, min values: 3.0622e-06, max values: 44.063, median values: 0.21642, and quantile values: 0.25 0.060456\n0.50 0.216420\n0.75 0.774200\nName: 394, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5252373767301888, std values: 4.998924717653578, min values: 1.1791e-06, max values: 40.561, median values: 0.27367, and quantile values: 0.25 0.064499\n0.50 0.273670\n0.75 0.898205\nName: 395, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5330781185037736, std values: 4.841062404712488, min values: 1.2686e-06, max values: 39.382, median values: 0.21659, and quantile values: 0.25 0.066907\n0.50 0.216590\n0.75 1.000455\nName: 396, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5689223524987421, std values: 5.096182849778864, min values: 3.8021e-06, max values: 41.234, median values: 0.237, and quantile values: 0.25 0.073858\n0.50 0.237000\n0.75 0.934700\nName: 397, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4531750569362263, std values: 4.954089824109129, min values: 3.3696e-07, max values: 41.324, median values: 0.22537, and quantile values: 0.25 0.060052\n0.50 0.225370\n0.75 0.903215\nName: 398, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3358387088050943, std values: 4.623494726529896, min values: 2.5301e-07, max values: 37.152, median values: 0.17028, and quantile values: 0.25 0.055327\n0.50 0.170280\n0.75 0.748505\nName: 399, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3540266345843397, std values: 4.7110508340322435, min values: 7.1961e-07, max values: 38.046, median values: 0.17771, and quantile values: 0.25 0.053671\n0.50 0.177710\n0.75 0.793770\nName: 400, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5564353053993711, std values: 4.881365960614808, min values: 1.9459e-06, max values: 39.758, median values: 0.27871, and quantile values: 0.25 0.075228\n0.50 0.278710\n0.75 0.896050\nName: 401, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4854175839894341, std values: 4.851948296403664, min values: 3.1192e-07, max values: 38.405, median values: 0.2151, and quantile values: 0.25 0.056057\n0.50 0.215100\n0.75 0.848665\nName: 402, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3576283820871697, std values: 4.679408017925393, min values: 2.7816e-07, max values: 37.942, median values: 0.21949, and quantile values: 0.25 0.061775\n0.50 0.219490\n0.75 0.807700\nName: 403, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.408902520502069, std values: 4.891383094691268, min values: 1.6969e-08, max values: 41.484, median values: 0.17241, and quantile values: 0.25 0.03902\n0.50 0.17241\n0.75 0.73154\nName: 404, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7431881524757862, std values: 4.969300750968137, min values: 3.4675e-07, max values: 38.66, median values: 0.29538, and quantile values: 0.25 0.076411\n0.50 0.295380\n0.75 1.245250\nName: 405, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2737907214781132, std values: 4.808832962321619, min values: 8.8512e-07, max values: 38.862, median values: 0.1529, and quantile values: 0.25 0.047490\n0.50 0.152900\n0.75 0.640855\nName: 406, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5496714976358492, std values: 4.964788854804105, min values: 4.7608e-06, max values: 40.139, median values: 0.24992, and quantile values: 0.25 0.072052\n0.50 0.249920\n0.75 0.896215\nName: 407, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4668422508356602, std values: 5.0448358996338785, min values: 9.3597e-07, max values: 42.449, median values: 0.22894, and quantile values: 0.25 0.062173\n0.50 0.228940\n0.75 0.901930\nName: 408, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.510779531136478, std values: 4.78546973676239, min values: 3.973e-07, max values: 37.527, median values: 0.20602, and quantile values: 0.25 0.054840\n0.50 0.206020\n0.75 0.894065\nName: 409, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.217694117078931, std values: 4.66815237478955, min values: 4.3565e-07, max values: 38.393, median values: 0.13192, and quantile values: 0.25 0.045555\n0.50 0.131920\n0.75 0.614570\nName: 410, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5473427290811321, std values: 5.074075751419694, min values: 1.4841e-06, max values: 42.089, median values: 0.24637, and quantile values: 0.25 0.063328\n0.50 0.246370\n0.75 0.958440\nName: 411, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4946382026408804, std values: 4.8523042242508385, min values: 1.0629e-06, max values: 38.901, median values: 0.26529, and quantile values: 0.25 0.069069\n0.50 0.265290\n0.75 0.968060\nName: 412, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5465224642037734, std values: 4.9516489472228775, min values: 1.1371e-06, max values: 40.086, median values: 0.24184, and quantile values: 0.25 0.06481\n0.50 0.24184\n0.75 0.99170\nName: 413, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4556166305620752, std values: 4.847482540226195, min values: 6.1827e-07, max values: 38.974, median values: 0.22153, and quantile values: 0.25 0.060456\n0.50 0.221530\n0.75 0.824320\nName: 414, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3349792149830189, std values: 4.746590682852428, min values: 1.2265e-06, max values: 37.869, median values: 0.19233, and quantile values: 0.25 0.056615\n0.50 0.192330\n0.75 0.775685\nName: 415, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6476363456773582, std values: 5.087466533482962, min values: 3.5157e-06, max values: 40.12, median values: 0.2582, and quantile values: 0.25 0.078538\n0.50 0.258200\n0.75 1.056850\nName: 416, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5127888864619246, std values: 5.138876369312632, min values: 3.2406e-08, max values: 45.042, median values: 0.23376, and quantile values: 0.25 0.052877\n0.50 0.233760\n0.75 0.884270\nName: 417, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2739296938786793, std values: 4.435155775943884, min values: 8.0841e-07, max values: 38.11, median values: 0.17584, and quantile values: 0.25 0.053107\n0.50 0.175840\n0.75 0.741525\nName: 418, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.643617008560566, std values: 5.31923144041615, min values: 7.5343e-07, max values: 46.373, median values: 0.24348, and quantile values: 0.25 0.070252\n0.50 0.243480\n0.75 1.043000\nName: 419, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3544006152657484, std values: 4.706804560398192, min values: 4.9424e-08, max values: 38.347, median values: 0.18577, and quantile values: 0.25 0.045311\n0.50 0.185770\n0.75 0.769060\nName: 420, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3876598444847799, std values: 4.690278356573459, min values: 3.2043e-07, max values: 37.136, median values: 0.19811, and quantile values: 0.25 0.044641\n0.50 0.198110\n0.75 0.805890\nName: 421, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.693759738554088, std values: 5.269751733938346, min values: 1.8971e-06, max values: 44.084, median values: 0.26165, and quantile values: 0.25 0.069278\n0.50 0.261650\n0.75 1.122350\nName: 422, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6202994232446541, std values: 5.053437371276132, min values: 3.1879e-06, max values: 40.428, median values: 0.29966, and quantile values: 0.25 0.073754\n0.50 0.299660\n0.75 1.058930\nName: 423, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.497639890880503, std values: 5.027151887930359, min values: 3.7141e-06, max values: 40.393, median values: 0.22294, and quantile values: 0.25 0.067015\n0.50 0.222940\n0.75 0.903175\nName: 424, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.595172923392453, std values: 4.882418538880232, min values: 2.4191e-06, max values: 39.35, median values: 0.27552, and quantile values: 0.25 0.075796\n0.50 0.275520\n0.75 1.067900\nName: 425, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.410042672151195, std values: 4.724431179570532, min values: 1.7612e-07, max values: 37.332, median values: 0.16316, and quantile values: 0.25 0.048203\n0.50 0.163160\n0.75 0.819850\nName: 426, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5279774262666665, std values: 4.863430864853294, min values: 1.7557e-06, max values: 39.572, median values: 0.22287, and quantile values: 0.25 0.066789\n0.50 0.222870\n0.75 1.030150\nName: 427, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3871172343358489, std values: 4.909527106512597, min values: 1.8091e-06, max values: 39.632, median values: 0.20306, and quantile values: 0.25 0.067258\n0.50 0.203060\n0.75 0.813125\nName: 428, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.418400977701887, std values: 4.812728538032352, min values: 1.786e-06, max values: 38.392, median values: 0.21709, and quantile values: 0.25 0.066085\n0.50 0.217090\n0.75 0.859365\nName: 429, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6267314593849056, std values: 5.1078219532456055, min values: 2.9004e-06, max values: 40.373, median values: 0.28946, and quantile values: 0.25 0.071586\n0.50 0.289460\n0.75 1.094050\nName: 430, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.418651380945283, std values: 5.272826030803661, min values: 1.9337e-06, max values: 46.486, median values: 0.19068, and quantile values: 0.25 0.056233\n0.50 0.190680\n0.75 0.762470\nName: 431, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.334327846146478, std values: 4.715528472615548, min values: 2.639e-07, max values: 38.206, median values: 0.15741, and quantile values: 0.25 0.046330\n0.50 0.157410\n0.75 0.721655\nName: 432, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7305172571220122, std values: 4.965559209365121, min values: 2.7608e-06, max values: 38.838, median values: 0.31793, and quantile values: 0.25 0.089253\n0.50 0.317930\n0.75 1.246100\nName: 433, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.515579839493082, std values: 4.8199081291597405, min values: 1.202e-06, max values: 38.171, median values: 0.24829, and quantile values: 0.25 0.064709\n0.50 0.248290\n0.75 0.994515\nName: 434, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.425050813909434, std values: 4.961949832719135, min values: 1.1319e-06, max values: 41.021, median values: 0.20404, and quantile values: 0.25 0.063235\n0.50 0.204040\n0.75 0.828225\nName: 435, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5106005922106918, std values: 5.172635152696066, min values: 4.9753e-06, max values: 42.208, median values: 0.2377, and quantile values: 0.25 0.068866\n0.50 0.237700\n0.75 0.751860\nName: 436, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3552840481238995, std values: 5.133117373621746, min values: 5.1754e-06, max values: 42.153, median values: 0.16901, and quantile values: 0.25 0.055601\n0.50 0.169010\n0.75 0.610900\nName: 437, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3520181350680505, std values: 4.604781104304734, min values: 1.674e-07, max values: 36.655, median values: 0.17889, and quantile values: 0.25 0.04482\n0.50 0.17889\n0.75 0.72388\nName: 438, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5232226020874213, std values: 4.93248523527525, min values: 1.4707e-06, max values: 39.197, median values: 0.21264, and quantile values: 0.25 0.065338\n0.50 0.212640\n0.75 0.968770\nName: 439, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3476537470742578, std values: 4.58215977470573, min values: 2.7797e-08, max values: 36.044, median values: 0.20089, and quantile values: 0.25 0.048981\n0.50 0.200890\n0.75 0.737040\nName: 440, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5597192191993712, std values: 5.165488057700412, min values: 3.5712e-06, max values: 42.167, median values: 0.26528, and quantile values: 0.25 0.068653\n0.50 0.265280\n0.75 0.956630\nName: 441, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6442667518106917, std values: 5.230647958215143, min values: 5.1159e-06, max values: 41.488, median values: 0.24148, and quantile values: 0.25 0.067862\n0.50 0.241480\n0.75 0.974880\nName: 442, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5028323262138363, std values: 4.864833473120399, min values: 2.7926e-06, max values: 39.568, median values: 0.2519, and quantile values: 0.25 0.073169\n0.50 0.251900\n0.75 0.922265\nName: 443, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.509974765771698, std values: 5.242858673753167, min values: 2.6972e-06, max values: 44.756, median values: 0.22887, and quantile values: 0.25 0.061763\n0.50 0.228870\n0.75 0.909850\nName: 444, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3741847109710692, std values: 4.709007888736391, min values: 1.8778e-06, max values: 38.684, median values: 0.22839, and quantile values: 0.25 0.060775\n0.50 0.228390\n0.75 0.823830\nName: 445, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6158293647943394, std values: 4.940008263516319, min values: 1.0444e-06, max values: 39.162, median values: 0.28198, and quantile values: 0.25 0.07084\n0.50 0.28198\n0.75 1.08190\nName: 446, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5234667986220753, std values: 4.951663685512454, min values: 3.8311e-07, max values: 40.573, median values: 0.26607, and quantile values: 0.25 0.064791\n0.50 0.266070\n0.75 0.960980\nName: 447, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.015387114728931, std values: 5.428995995910899, min values: 6.6169e-06, max values: 40.689, median values: 0.3335, and quantile values: 0.25 0.090055\n0.50 0.333500\n0.75 1.331350\nName: 448, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5080431245987422, std values: 5.072769600017757, min values: 1.316e-06, max values: 41.637, median values: 0.23625, and quantile values: 0.25 0.061728\n0.50 0.236250\n0.75 0.955865\nName: 449, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8197994196974845, std values: 5.286589081253546, min values: 4.3436e-06, max values: 40.792, median values: 0.31698, and quantile values: 0.25 0.083694\n0.50 0.316980\n0.75 1.217750\nName: 450, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4908289401522012, std values: 4.924358254326653, min values: 4.788e-07, max values: 40.262, median values: 0.22264, and quantile values: 0.25 0.061042\n0.50 0.222640\n0.75 0.891075\nName: 451, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.501502571700629, std values: 4.946631907910805, min values: 2.0249e-06, max values: 39.722, median values: 0.25035, and quantile values: 0.25 0.066216\n0.50 0.250350\n0.75 0.869000\nName: 452, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4566544601798745, std values: 5.084987438257028, min values: 3.6194e-06, max values: 40.791, median values: 0.22913, and quantile values: 0.25 0.066358\n0.50 0.229130\n0.75 0.809325\nName: 453, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4222095143474214, std values: 4.936094697110564, min values: 2.5894e-07, max values: 41.059, median values: 0.16824, and quantile values: 0.25 0.046508\n0.50 0.168240\n0.75 0.790430\nName: 454, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.128165938015472, std values: 5.805303559112504, min values: 3.6556e-07, max values: 50.136, median values: 0.32714, and quantile values: 0.25 0.082138\n0.50 0.327140\n0.75 1.536650\nName: 455, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.717057897576195, std values: 5.508833964785136, min values: 3.4065e-08, max values: 50.562, median values: 0.21378, and quantile values: 0.25 0.056395\n0.50 0.213780\n0.75 1.141700\nName: 456, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5160127795622642, std values: 5.0624181078257, min values: 5.7927e-06, max values: 40.808, median values: 0.23742, and quantile values: 0.25 0.068677\n0.50 0.237420\n0.75 0.846080\nName: 457, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5266870294264148, std values: 4.786490318638679, min values: 2.5918e-06, max values: 39.416, median values: 0.25371, and quantile values: 0.25 0.077766\n0.50 0.253710\n0.75 0.966030\nName: 458, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6252609370088051, std values: 5.0231110044402, min values: 3.6707e-06, max values: 40.224, median values: 0.247, and quantile values: 0.25 0.074688\n0.50 0.247000\n0.75 1.050950\nName: 459, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4909292004597483, std values: 5.068560549808063, min values: 6.259e-07, max values: 41.717, median values: 0.20952, and quantile values: 0.25 0.066480\n0.50 0.209520\n0.75 0.857955\nName: 460, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3592563790106922, std values: 4.761143267604818, min values: 1.2547e-06, max values: 38.894, median values: 0.17757, and quantile values: 0.25 0.052159\n0.50 0.177570\n0.75 0.774325\nName: 461, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4195054933227673, std values: 4.8777393316908, min values: 8.3542e-07, max values: 38.952, median values: 0.17701, and quantile values: 0.25 0.047992\n0.50 0.177010\n0.75 0.802750\nName: 462, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6393571473867925, std values: 5.135730601635081, min values: 1.0236e-06, max values: 43.348, median values: 0.30221, and quantile values: 0.25 0.085494\n0.50 0.302210\n0.75 1.063050\nName: 463, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3630475327855347, std values: 4.609839424625258, min values: 1.0302e-06, max values: 38.493, median values: 0.18721, and quantile values: 0.25 0.061076\n0.50 0.187210\n0.75 0.799840\nName: 464, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5608790806849058, std values: 5.064025024289174, min values: 3.8487e-06, max values: 40.849, median values: 0.25277, and quantile values: 0.25 0.079853\n0.50 0.252770\n0.75 0.959695\nName: 465, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3371294439163521, std values: 4.913026562136269, min values: 2.4309e-06, max values: 40.498, median values: 0.15997, and quantile values: 0.25 0.050332\n0.50 0.159970\n0.75 0.654290\nName: 466, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.532285637345912, std values: 4.931336069804522, min values: 5.2217e-06, max values: 40.842, median values: 0.25643, and quantile values: 0.25 0.07851\n0.50 0.25643\n0.75 0.89953\nName: 467, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4765184856427673, std values: 4.955759811575825, min values: 2.6704e-06, max values: 39.1, median values: 0.20757, and quantile values: 0.25 0.055118\n0.50 0.207570\n0.75 0.895005\nName: 468, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4276704220284906, std values: 4.670561494305767, min values: 3.0713e-07, max values: 37.492, median values: 0.18822, and quantile values: 0.25 0.054582\n0.50 0.188220\n0.75 0.862250\nName: 469, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.308266803255786, std values: 4.852766190320642, min values: 2.0767e-07, max values: 40.038, median values: 0.16723, and quantile values: 0.25 0.049164\n0.50 0.167230\n0.75 0.671330\nName: 470, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5431816788144652, std values: 5.17262329796373, min values: 1.8422e-06, max values: 44.072, median values: 0.22456, and quantile values: 0.25 0.063495\n0.50 0.224560\n0.75 0.957455\nName: 471, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3822374515333335, std values: 4.8451180314368925, min values: 1.5988e-06, max values: 38.902, median values: 0.21112, and quantile values: 0.25 0.063335\n0.50 0.211120\n0.75 0.779850\nName: 472, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5115541584572327, std values: 5.083587018426783, min values: 3.1951e-06, max values: 40.904, median values: 0.22449, and quantile values: 0.25 0.07070\n0.50 0.22449\n0.75 0.90586\nName: 473, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.366086715435717, std values: 4.948476647787364, min values: 2.8959e-08, max values: 42.874, median values: 0.16408, and quantile values: 0.25 0.045185\n0.50 0.164080\n0.75 0.728445\nName: 474, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3584004676583648, std values: 4.755235093554723, min values: 4.5878e-07, max values: 37.898, median values: 0.19757, and quantile values: 0.25 0.054338\n0.50 0.197570\n0.75 0.764665\nName: 475, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2917165354745284, std values: 4.642558406736002, min values: 4.3085e-07, max values: 36.88, median values: 0.17233, and quantile values: 0.25 0.053435\n0.50 0.172330\n0.75 0.683095\nName: 476, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.556063981253585, std values: 5.147678510712448, min values: 5.8062e-07, max values: 44.074, median values: 0.24216, and quantile values: 0.25 0.062117\n0.50 0.242160\n0.75 0.867715\nName: 477, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.688545803527107, std values: 5.167157533513921, min values: 5.7181e-07, max values: 43.521, median values: 0.27956, and quantile values: 0.25 0.072292\n0.50 0.279560\n0.75 1.149750\nName: 478, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2968336205796227, std values: 4.858059282144052, min values: 5.7386e-07, max values: 39.291, median values: 0.14848, and quantile values: 0.25 0.047719\n0.50 0.148480\n0.75 0.736305\nName: 479, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4359565595125785, std values: 4.615779941405377, min values: 1.4695e-06, max values: 38.246, median values: 0.22099, and quantile values: 0.25 0.068148\n0.50 0.220990\n0.75 0.890950\nName: 480, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3855560263626414, std values: 5.035279110761999, min values: 7.3696e-07, max values: 42.855, median values: 0.18211, and quantile values: 0.25 0.053827\n0.50 0.182110\n0.75 0.792365\nName: 481, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4716014344591195, std values: 4.753600295897227, min values: 2.0565e-06, max values: 39.549, median values: 0.24111, and quantile values: 0.25 0.067721\n0.50 0.241110\n0.75 0.887970\nName: 482, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3484153627666668, std values: 4.639748517862594, min values: 1.0412e-06, max values: 37.857, median values: 0.1893, and quantile values: 0.25 0.065173\n0.50 0.189300\n0.75 0.768200\nName: 483, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3409812028704402, std values: 4.808689450178302, min values: 1.459e-06, max values: 38.942, median values: 0.20173, and quantile values: 0.25 0.058492\n0.50 0.201730\n0.75 0.788275\nName: 484, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3650673903352202, std values: 4.938381965204238, min values: 3.6626e-06, max values: 40.39, median values: 0.17813, and quantile values: 0.25 0.050624\n0.50 0.178130\n0.75 0.745160\nName: 485, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4657627860277989, std values: 4.731729731347277, min values: 7.4952e-07, max values: 37.671, median values: 0.22912, and quantile values: 0.25 0.066894\n0.50 0.229120\n0.75 0.951405\nName: 486, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6261342835754713, std values: 5.1800671480706235, min values: 4.8647e-06, max values: 41.885, median values: 0.27826, and quantile values: 0.25 0.079850\n0.50 0.278260\n0.75 0.948555\nName: 487, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.674695597190566, std values: 5.338022332791957, min values: 2.6301e-06, max values: 44.873, median values: 0.31452, and quantile values: 0.25 0.06838\n0.50 0.31452\n0.75 1.13835\nName: 488, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8638052747206288, std values: 5.643089955675904, min values: 4.6828e-07, max values: 50.852, median values: 0.31725, and quantile values: 0.25 0.075566\n0.50 0.317250\n0.75 1.326000\nName: 489, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.342129457917673, std values: 4.651256334455925, min values: 3.6231e-07, max values: 37.293, median values: 0.18047, and quantile values: 0.25 0.049179\n0.50 0.180470\n0.75 0.698280\nName: 490, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.387228164744025, std values: 4.890564500542369, min values: 1.1233e-06, max values: 39.216, median values: 0.18839, and quantile values: 0.25 0.056275\n0.50 0.188390\n0.75 0.797720\nName: 491, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2874629616245286, std values: 4.684802468628302, min values: 1.3917e-06, max values: 38.89, median values: 0.18791, and quantile values: 0.25 0.052165\n0.50 0.187910\n0.75 0.731165\nName: 492, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5045007949396225, std values: 4.768724660403925, min values: 9.031e-07, max values: 37.874, median values: 0.24287, and quantile values: 0.25 0.066332\n0.50 0.242870\n0.75 0.869560\nName: 493, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4710187969150943, std values: 4.9590377206271485, min values: 5.334e-07, max values: 41.092, median values: 0.22001, and quantile values: 0.25 0.062860\n0.50 0.220010\n0.75 0.882305\nName: 494, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3380029595433962, std values: 4.692057583365189, min values: 2.8471e-06, max values: 40.119, median values: 0.19671, and quantile values: 0.25 0.060571\n0.50 0.196710\n0.75 0.709200\nName: 495, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.268645056780692, std values: 4.677839320905544, min values: 5.8453e-07, max values: 38.267, median values: 0.16175, and quantile values: 0.25 0.052531\n0.50 0.161750\n0.75 0.686600\nName: 496, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.62971017638239, std values: 5.286580623756261, min values: 4.6169e-06, max values: 42.852, median values: 0.27659, and quantile values: 0.25 0.083186\n0.50 0.276590\n0.75 0.950095\nName: 497, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3753433127012582, std values: 4.603255171847668, min values: 2.4982e-06, max values: 39.528, median values: 0.18336, and quantile values: 0.25 0.053686\n0.50 0.183360\n0.75 0.810890\nName: 498, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4239277257847798, std values: 4.779603171364313, min values: 1.8258e-07, max values: 38.14, median values: 0.1962, and quantile values: 0.25 0.053542\n0.50 0.196200\n0.75 0.913715\nName: 499, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.536599608503459, std values: 4.9049671784131945, min values: 9.9005e-07, max values: 39.001, median values: 0.21521, and quantile values: 0.25 0.065503\n0.50 0.215210\n0.75 1.014490\nName: 500, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5028024186761006, std values: 4.7889561009197985, min values: 1.4543e-06, max values: 37.72, median values: 0.25319, and quantile values: 0.25 0.063688\n0.50 0.253190\n0.75 1.022380\nName: 501, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4534713070408807, std values: 4.8722674325235715, min values: 1.46e-07, max values: 39.789, median values: 0.1888, and quantile values: 0.25 0.056872\n0.50 0.188800\n0.75 0.896200\nName: 502, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.674040472183019, std values: 5.155194546637809, min values: 4.2502e-06, max values: 40.67, median values: 0.28121, and quantile values: 0.25 0.084258\n0.50 0.281210\n0.75 1.057060\nName: 503, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.495717589010063, std values: 4.858290085486217, min values: 9.213e-07, max values: 38.952, median values: 0.23316, and quantile values: 0.25 0.066456\n0.50 0.233160\n0.75 0.943810\nName: 504, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6039510979276728, std values: 4.850677885092943, min values: 4.4695e-06, max values: 40.127, median values: 0.26769, and quantile values: 0.25 0.077088\n0.50 0.267690\n0.75 1.016565\nName: 505, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4864555763792453, std values: 5.1671514713390385, min values: 3.3299e-06, max values: 42.623, median values: 0.20357, and quantile values: 0.25 0.060951\n0.50 0.203570\n0.75 0.839510\nName: 506, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.49277676552761, std values: 4.871761007632867, min values: 3.1729e-07, max values: 38.957, median values: 0.23552, and quantile values: 0.25 0.057567\n0.50 0.235520\n0.75 0.926965\nName: 507, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3842367004920753, std values: 4.6336706430854635, min values: 8.4014e-07, max values: 38.616, median values: 0.19137, and quantile values: 0.25 0.061207\n0.50 0.191370\n0.75 0.833750\nName: 508, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.605808911199371, std values: 5.032446910992945, min values: 1.3319e-06, max values: 40.363, median values: 0.2442, and quantile values: 0.25 0.073593\n0.50 0.244200\n0.75 1.058650\nName: 509, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4814985532905662, std values: 4.943117422132612, min values: 1.0148e-06, max values: 41.153, median values: 0.22078, and quantile values: 0.25 0.066407\n0.50 0.220780\n0.75 0.932925\nName: 510, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.501381625628302, std values: 5.017398939548474, min values: 2.3487e-06, max values: 40.459, median values: 0.22546, and quantile values: 0.25 0.066866\n0.50 0.225460\n0.75 0.898945\nName: 511, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4916129617773586, std values: 5.042292823235493, min values: 2.3954e-06, max values: 41.1, median values: 0.23302, and quantile values: 0.25 0.064291\n0.50 0.233020\n0.75 0.908055\nName: 512, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4091895706974842, std values: 4.832458774103743, min values: 1.0146e-06, max values: 38.385, median values: 0.19439, and quantile values: 0.25 0.058492\n0.50 0.194390\n0.75 0.850800\nName: 513, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5423826222785535, std values: 4.915643483048215, min values: 7.4089e-07, max values: 39.803, median values: 0.22612, and quantile values: 0.25 0.066184\n0.50 0.226120\n0.75 0.968765\nName: 514, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3029455696389938, std values: 4.5746199367862825, min values: 1.026e-06, max values: 38.048, median values: 0.18715, and quantile values: 0.25 0.056263\n0.50 0.187150\n0.75 0.746900\nName: 515, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.448144666138365, std values: 4.756270925230182, min values: 1.3426e-06, max values: 38.438, median values: 0.21534, and quantile values: 0.25 0.060589\n0.50 0.215340\n0.75 0.928620\nName: 516, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.47900391334983, std values: 4.639711920238539, min values: 2.9023e-08, max values: 36.973, median values: 0.2545, and quantile values: 0.25 0.063824\n0.50 0.254500\n0.75 0.934540\nName: 517, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.421574831400629, std values: 4.946931648580288, min values: 2.7109e-06, max values: 39.873, median values: 0.21737, and quantile values: 0.25 0.068869\n0.50 0.217370\n0.75 0.856690\nName: 518, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3044765521803772, std values: 4.7398653473298324, min values: 1.346e-08, max values: 38.179, median values: 0.14601, and quantile values: 0.25 0.037128\n0.50 0.146010\n0.75 0.718015\nName: 519, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5664344844213836, std values: 5.122923257784354, min values: 1.8847e-06, max values: 42.646, median values: 0.23748, and quantile values: 0.25 0.064471\n0.50 0.237480\n0.75 0.965980\nName: 520, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6931461094496858, std values: 5.123601144558179, min values: 2.0309e-06, max values: 41.405, median values: 0.27449, and quantile values: 0.25 0.089059\n0.50 0.274490\n0.75 1.135850\nName: 521, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5436953574948427, std values: 5.004283075032959, min values: 8.4308e-07, max values: 41.207, median values: 0.26087, and quantile values: 0.25 0.068838\n0.50 0.260870\n0.75 0.992505\nName: 522, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4355512065630818, std values: 4.651236845060546, min values: 9.5933e-07, max values: 38.185, median values: 0.23506, and quantile values: 0.25 0.065628\n0.50 0.235060\n0.75 0.934125\nName: 523, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.824022745172956, std values: 5.176781387194393, min values: 3.7702e-06, max values: 39.837, median values: 0.32346, and quantile values: 0.25 0.095131\n0.50 0.323460\n0.75 1.299150\nName: 524, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6067387796616353, std values: 5.421949831490476, min values: 1.1545e-06, max values: 48.046, median values: 0.24768, and quantile values: 0.25 0.069495\n0.50 0.247680\n0.75 0.931770\nName: 525, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4606187413091196, std values: 4.865404986001285, min values: 1.5585e-07, max values: 39.678, median values: 0.19649, and quantile values: 0.25 0.055507\n0.50 0.196490\n0.75 0.873290\nName: 526, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2977565286012578, std values: 4.851389786472649, min values: 1.097e-06, max values: 39.968, median values: 0.16665, and quantile values: 0.25 0.048341\n0.50 0.166650\n0.75 0.667110\nName: 527, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.462114599544654, std values: 4.875357032748197, min values: 1.4426e-06, max values: 39.008, median values: 0.22277, and quantile values: 0.25 0.063357\n0.50 0.222770\n0.75 0.900530\nName: 528, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7102315066408804, std values: 5.70642180283983, min values: 1.6477e-06, max values: 52.293, median values: 0.24634, and quantile values: 0.25 0.074147\n0.50 0.246340\n0.75 1.059050\nName: 529, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.589690811900755, std values: 4.85846036536789, min values: 5.8152e-07, max values: 37.744, median values: 0.23459, and quantile values: 0.25 0.067855\n0.50 0.234590\n0.75 1.067750\nName: 530, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8454070550188681, std values: 5.172042158045347, min values: 3.9759e-06, max values: 39.51, median values: 0.35402, and quantile values: 0.25 0.099001\n0.50 0.354020\n0.75 1.256800\nName: 531, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6230619008308176, std values: 5.143648898824302, min values: 3.134e-06, max values: 41.654, median values: 0.27184, and quantile values: 0.25 0.076068\n0.50 0.271840\n0.75 1.115200\nName: 532, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3112294166100629, std values: 4.770900188165092, min values: 2.9269e-06, max values: 40.536, median values: 0.18219, and quantile values: 0.25 0.048169\n0.50 0.182190\n0.75 0.702280\nName: 533, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2951241950094339, std values: 4.672716370673482, min values: 1.5462e-07, max values: 37.484, median values: 0.15106, and quantile values: 0.25 0.037291\n0.50 0.151060\n0.75 0.668075\nName: 534, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5285706855924528, std values: 4.9503670941228854, min values: 2.0209e-06, max values: 39.726, median values: 0.25507, and quantile values: 0.25 0.069725\n0.50 0.255070\n0.75 0.915145\nName: 535, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4312971383021382, std values: 4.824439155853835, min values: 1.6274e-07, max values: 39.206, median values: 0.20105, and quantile values: 0.25 0.049904\n0.50 0.201050\n0.75 0.837520\nName: 536, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5441003291308175, std values: 5.023387357223633, min values: 2.13e-06, max values: 40.343, median values: 0.22798, and quantile values: 0.25 0.074621\n0.50 0.227980\n0.75 0.913645\nName: 537, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3783237946567926, std values: 4.816265780571738, min values: 4.9943e-07, max values: 39.062, median values: 0.22118, and quantile values: 0.25 0.058734\n0.50 0.221180\n0.75 0.809105\nName: 538, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4566006801125786, std values: 4.8236151476168745, min values: 1.2755e-06, max values: 38.573, median values: 0.2616, and quantile values: 0.25 0.074096\n0.50 0.261600\n0.75 0.900195\nName: 539, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7463314210050314, std values: 4.979008849532035, min values: 2.0353e-06, max values: 38.859, median values: 0.3166, and quantile values: 0.25 0.090123\n0.50 0.316600\n0.75 1.230100\nName: 540, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4890238980723272, std values: 4.653758275220585, min values: 1.026e-06, max values: 37.613, median values: 0.22738, and quantile values: 0.25 0.069874\n0.50 0.227380\n0.75 1.008855\nName: 541, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4528673481716983, std values: 4.860892869183421, min values: 1.3837e-06, max values: 39.654, median values: 0.21024, and quantile values: 0.25 0.062749\n0.50 0.210240\n0.75 0.884020\nName: 542, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4424979027357863, std values: 4.802636086574291, min values: 6.7599e-07, max values: 38.444, median values: 0.21729, and quantile values: 0.25 0.063617\n0.50 0.217290\n0.75 0.913730\nName: 543, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5090926546421384, std values: 5.15506759889434, min values: 2.1178e-06, max values: 42.689, median values: 0.21502, and quantile values: 0.25 0.066497\n0.50 0.215020\n0.75 0.893365\nName: 544, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5267271229955974, std values: 5.009879917822806, min values: 3.5047e-06, max values: 40.276, median values: 0.22466, and quantile values: 0.25 0.070908\n0.50 0.224660\n0.75 0.893040\nName: 545, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3996026965691823, std values: 4.850286396685375, min values: 1.3646e-06, max values: 39.411, median values: 0.18657, and quantile values: 0.25 0.058770\n0.50 0.186570\n0.75 0.818675\nName: 546, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2555178139879872, std values: 4.556855235060624, min values: 5.9509e-07, max values: 37.378, median values: 0.15641, and quantile values: 0.25 0.048548\n0.50 0.156410\n0.75 0.636095\nName: 547, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3632156961441066, std values: 4.933217628219585, min values: 9.4213e-08, max values: 41.776, median values: 0.18421, and quantile values: 0.25 0.042035\n0.50 0.184210\n0.75 0.690445\nName: 548, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5085787797641508, std values: 4.966434084614542, min values: 5.6382e-06, max values: 41.195, median values: 0.23323, and quantile values: 0.25 0.064156\n0.50 0.233230\n0.75 0.843925\nName: 549, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.772430079507736, std values: 5.448379476620589, min values: 7.3283e-07, max values: 47.98, median values: 0.28314, and quantile values: 0.25 0.076436\n0.50 0.283140\n0.75 1.188000\nName: 550, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.411518275786415, std values: 4.720839934987527, min values: 5.2774e-07, max values: 38.497, median values: 0.19632, and quantile values: 0.25 0.059281\n0.50 0.196320\n0.75 0.795930\nName: 551, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.26990605614717, std values: 4.666952334107252, min values: 1.2946e-06, max values: 39.287, median values: 0.15913, and quantile values: 0.25 0.049089\n0.50 0.159130\n0.75 0.609485\nName: 552, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.332278007866038, std values: 4.741301029228995, min values: 2.1214e-06, max values: 39.506, median values: 0.18385, and quantile values: 0.25 0.062347\n0.50 0.183850\n0.75 0.725305\nName: 553, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3511902200735846, std values: 4.928818724548664, min values: 1.9479e-06, max values: 40.252, median values: 0.19052, and quantile values: 0.25 0.057646\n0.50 0.190520\n0.75 0.716760\nName: 554, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4609103445232452, std values: 4.991196865683402, min values: 8.7956e-08, max values: 42.558, median values: 0.20052, and quantile values: 0.25 0.053957\n0.50 0.200520\n0.75 0.852580\nName: 555, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3380847142507675, std values: 4.8827657123683, min values: 2.7662e-08, max values: 41.568, median values: 0.14954, and quantile values: 0.25 0.03908\n0.50 0.14954\n0.75 0.70279\nName: 556, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4899013254119498, std values: 4.871980815459074, min values: 1.2953e-06, max values: 39.117, median values: 0.20598, and quantile values: 0.25 0.063107\n0.50 0.205980\n0.75 0.921465\nName: 557, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6462733423716982, std values: 5.214160101807497, min values: 2.0215e-06, max values: 42.557, median values: 0.24403, and quantile values: 0.25 0.072113\n0.50 0.244030\n0.75 0.995100\nName: 558, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.397319855797264, std values: 4.6514420161039345, min values: 2.494e-08, max values: 36.907, median values: 0.19287, and quantile values: 0.25 0.043988\n0.50 0.192870\n0.75 0.858385\nName: 559, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.345817687656038, std values: 4.63820821116084, min values: 1.8011e-07, max values: 37.636, median values: 0.18906, and quantile values: 0.25 0.051248\n0.50 0.189060\n0.75 0.782955\nName: 560, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5776156225459432, std values: 4.734913641142137, min values: 2.2895e-08, max values: 37.33, median values: 0.26705, and quantile values: 0.25 0.055885\n0.50 0.267050\n0.75 1.047300\nName: 561, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6929800575232703, std values: 5.073664985873495, min values: 4.0117e-06, max values: 39.689, median values: 0.31189, and quantile values: 0.25 0.090812\n0.50 0.311890\n0.75 1.075900\nName: 562, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4276645593184905, std values: 4.9626070609687085, min values: 2.1064e-07, max values: 41.611, median values: 0.17822, and quantile values: 0.25 0.046646\n0.50 0.178220\n0.75 0.781645\nName: 563, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4863962326550946, std values: 4.857831578641229, min values: 0.0, max values: 39.828, median values: 0.19427, and quantile values: 0.25 0.052143\n0.50 0.194270\n0.75 0.917820\nName: 564, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.462970887849937, std values: 4.925725868416466, min values: 5.8934e-07, max values: 40.445, median values: 0.22185, and quantile values: 0.25 0.061042\n0.50 0.221850\n0.75 0.884785\nName: 565, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4586054080320756, std values: 4.950991774870216, min values: 2.5136e-06, max values: 40.157, median values: 0.264, and quantile values: 0.25 0.070053\n0.50 0.264000\n0.75 0.809220\nName: 566, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5470307810949686, std values: 5.028465506913398, min values: 3.45e-06, max values: 39.85, median values: 0.22775, and quantile values: 0.25 0.072747\n0.50 0.227750\n0.75 0.966815\nName: 567, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.402528018252201, std values: 4.579809785771654, min values: 2.2851e-06, max values: 38.514, median values: 0.24034, and quantile values: 0.25 0.070394\n0.50 0.240340\n0.75 0.845650\nName: 568, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4023335886776414, std values: 4.830078363465715, min values: 2.5765e-08, max values: 40.248, median values: 0.20323, and quantile values: 0.25 0.045183\n0.50 0.203230\n0.75 0.772045\nName: 569, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3801533351407547, std values: 4.803914288683378, min values: 9.5958e-07, max values: 38.227, median values: 0.19877, and quantile values: 0.25 0.063905\n0.50 0.198770\n0.75 0.782500\nName: 570, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2566335659930816, std values: 4.895148362411564, min values: 1.044e-06, max values: 40.521, median values: 0.13787, and quantile values: 0.25 0.041154\n0.50 0.137870\n0.75 0.607980\nName: 571, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3822116844623271, std values: 4.701723358289999, min values: 4.4964e-07, max values: 37.316, median values: 0.20698, and quantile values: 0.25 0.046642\n0.50 0.206980\n0.75 0.808145\nName: 572, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5651445483603774, std values: 5.031953180017632, min values: 1.0599e-06, max values: 40.835, median values: 0.21913, and quantile values: 0.25 0.055241\n0.50 0.219130\n0.75 0.927930\nName: 573, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6200984657537736, std values: 5.107173837003613, min values: 5.7885e-07, max values: 43.142, median values: 0.26474, and quantile values: 0.25 0.069925\n0.50 0.264740\n0.75 1.095150\nName: 574, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6410194028446543, std values: 4.9862452857549115, min values: 3.3396e-06, max values: 39.456, median values: 0.25372, and quantile values: 0.25 0.080058\n0.50 0.253720\n0.75 1.070500\nName: 575, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6389781862389938, std values: 5.078206242530477, min values: 1.4494e-06, max values: 41.709, median values: 0.26434, and quantile values: 0.25 0.064591\n0.50 0.264340\n0.75 1.134000\nName: 576, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6453511912893084, std values: 5.133775877585585, min values: 1.0764e-06, max values: 43.521, median values: 0.27146, and quantile values: 0.25 0.081622\n0.50 0.271460\n0.75 1.089800\nName: 577, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.543103166772956, std values: 4.798775709998795, min values: 1.7644e-06, max values: 38.212, median values: 0.23433, and quantile values: 0.25 0.071107\n0.50 0.234330\n0.75 0.981455\nName: 578, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.689883465462893, std values: 5.101003787514803, min values: 2.1745e-06, max values: 40.486, median values: 0.29594, and quantile values: 0.25 0.080822\n0.50 0.295940\n0.75 1.127000\nName: 579, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.422715968772327, std values: 4.959963297618392, min values: 3.7817e-06, max values: 39.92, median values: 0.20371, and quantile values: 0.25 0.061472\n0.50 0.203710\n0.75 0.700420\nName: 580, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3946088860647798, std values: 4.929998390887978, min values: 1.8393e-06, max values: 39.722, median values: 0.21815, and quantile values: 0.25 0.055819\n0.50 0.218150\n0.75 0.807405\nName: 581, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4476217579382389, std values: 4.83527289934985, min values: 9.9908e-07, max values: 39.077, median values: 0.2186, and quantile values: 0.25 0.062212\n0.50 0.218600\n0.75 0.910480\nName: 582, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.366244249237107, std values: 4.841742387168426, min values: 3.6073e-06, max values: 40.048, median values: 0.19123, and quantile values: 0.25 0.061538\n0.50 0.191230\n0.75 0.732255\nName: 583, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3904445512197483, std values: 4.762032028197529, min values: 4.4624e-07, max values: 37.949, median values: 0.19016, and quantile values: 0.25 0.055600\n0.50 0.190160\n0.75 0.761145\nName: 584, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3716310076371068, std values: 4.822110139230811, min values: 3.2293e-06, max values: 40.29, median values: 0.20772, and quantile values: 0.25 0.056105\n0.50 0.207720\n0.75 0.710695\nName: 585, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4133285783767295, std values: 4.799829094377053, min values: 2.1024e-06, max values: 39.298, median values: 0.21996, and quantile values: 0.25 0.060492\n0.50 0.219960\n0.75 0.824655\nName: 586, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4456548491886794, std values: 4.986728854833096, min values: 4.0614e-06, max values: 39.909, median values: 0.22204, and quantile values: 0.25 0.063834\n0.50 0.222040\n0.75 0.829260\nName: 587, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.521925027289937, std values: 5.244163180487966, min values: 4.9688e-06, max values: 42.65, median values: 0.20643, and quantile values: 0.25 0.064388\n0.50 0.206430\n0.75 0.819105\nName: 588, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.327822719032044, std values: 4.794818916860737, min values: 8.6905e-08, max values: 39.437, median values: 0.16044, and quantile values: 0.25 0.041043\n0.50 0.160440\n0.75 0.698920\nName: 589, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4695499843761006, std values: 4.9309073042950775, min values: 3.2427e-06, max values: 39.721, median values: 0.21294, and quantile values: 0.25 0.070602\n0.50 0.212940\n0.75 0.856445\nName: 590, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5591663172132075, std values: 4.888613126064082, min values: 2.3555e-06, max values: 38.451, median values: 0.23094, and quantile values: 0.25 0.063793\n0.50 0.230940\n0.75 0.941845\nName: 591, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3558976226930817, std values: 4.738313435886617, min values: 8.879e-07, max values: 37.726, median values: 0.1933, and quantile values: 0.25 0.052223\n0.50 0.193300\n0.75 0.741470\nName: 592, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4839947576974841, std values: 5.081570945120245, min values: 3.897e-06, max values: 41.026, median values: 0.2254, and quantile values: 0.25 0.066269\n0.50 0.225400\n0.75 0.828550\nName: 593, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6606428451138366, std values: 5.164848307754686, min values: 2.0186e-06, max values: 42.341, median values: 0.26581, and quantile values: 0.25 0.075171\n0.50 0.265810\n0.75 1.108400\nName: 594, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4317443709786164, std values: 4.653374724371563, min values: 3.3301e-06, max values: 39.787, median values: 0.20505, and quantile values: 0.25 0.065299\n0.50 0.205050\n0.75 0.860695\nName: 595, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3960156973201259, std values: 4.802748612260906, min values: 1.5212e-06, max values: 38.973, median values: 0.2201, and quantile values: 0.25 0.057402\n0.50 0.220100\n0.75 0.854455\nName: 596, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.663112041755346, std values: 4.936581198056237, min values: 2.5528e-06, max values: 39.006, median values: 0.25842, and quantile values: 0.25 0.082382\n0.50 0.258420\n0.75 1.127600\nName: 597, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5328344553666668, std values: 5.052285492155499, min values: 1.8156e-06, max values: 41.213, median values: 0.22647, and quantile values: 0.25 0.065411\n0.50 0.226470\n0.75 0.918630\nName: 598, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1915205952265409, std values: 4.9045370699932604, min values: 3.3198e-07, max values: 42.422, median values: 0.12145, and quantile values: 0.25 0.032603\n0.50 0.121450\n0.75 0.517515\nName: 599, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4005984370490567, std values: 4.874064188191463, min values: 1.3915e-06, max values: 39.441, median values: 0.19788, and quantile values: 0.25 0.062393\n0.50 0.197880\n0.75 0.782790\nName: 600, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6215662117896479, std values: 4.884366522820374, min values: 2.7683e-08, max values: 39.572, median values: 0.21745, and quantile values: 0.25 0.048855\n0.50 0.217450\n0.75 0.972155\nName: 601, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2769411174644025, std values: 4.4728320510718085, min values: 7.1381e-07, max values: 36.838, median values: 0.15894, and quantile values: 0.25 0.046065\n0.50 0.158940\n0.75 0.703295\nName: 602, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3676071455308179, std values: 4.707037875784774, min values: 1.3602e-06, max values: 39.006, median values: 0.1912, and quantile values: 0.25 0.051545\n0.50 0.191200\n0.75 0.873950\nName: 603, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5640304285842768, std values: 4.973512383159332, min values: 1.6006e-06, max values: 39.637, median values: 0.2374, and quantile values: 0.25 0.063831\n0.50 0.237400\n0.75 1.008595\nName: 604, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2522587070362894, std values: 4.635735140575109, min values: 1.7535e-07, max values: 37.043, median values: 0.15055, and quantile values: 0.25 0.041898\n0.50 0.150550\n0.75 0.642210\nName: 605, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5706552876056603, std values: 4.9129883111660195, min values: 1.2456e-06, max values: 40.303, median values: 0.26103, and quantile values: 0.25 0.073609\n0.50 0.261030\n0.75 1.013650\nName: 606, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4933454716836476, std values: 4.9196034861502955, min values: 2.3762e-06, max values: 39.181, median values: 0.24526, and quantile values: 0.25 0.069931\n0.50 0.245260\n0.75 0.897180\nName: 607, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4165841178327045, std values: 4.810023895644827, min values: 3.7912e-06, max values: 39.76, median values: 0.20515, and quantile values: 0.25 0.064499\n0.50 0.205150\n0.75 0.836890\nName: 608, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.568669966137736, std values: 5.175759605117646, min values: 1.5864e-06, max values: 44.347, median values: 0.25432, and quantile values: 0.25 0.071391\n0.50 0.254320\n0.75 0.942060\nName: 609, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.448091594492453, std values: 4.9703423666212165, min values: 3.0179e-06, max values: 39.879, median values: 0.20595, and quantile values: 0.25 0.061564\n0.50 0.205950\n0.75 0.812070\nName: 610, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5678575513132074, std values: 5.043765518206364, min values: 3.0345e-06, max values: 40.159, median values: 0.25971, and quantile values: 0.25 0.076302\n0.50 0.259710\n0.75 0.905020\nName: 611, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5646028581735851, std values: 4.971004160304478, min values: 2.4451e-06, max values: 39.363, median values: 0.25962, and quantile values: 0.25 0.065322\n0.50 0.259620\n0.75 0.984725\nName: 612, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3025168948408177, std values: 4.655364762471892, min values: 7.5489e-07, max values: 37.954, median values: 0.15529, and quantile values: 0.25 0.048488\n0.50 0.155290\n0.75 0.799670\nName: 613, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3287196760427673, std values: 4.863443943444867, min values: 4.588e-07, max values: 40.432, median values: 0.19979, and quantile values: 0.25 0.05687\n0.50 0.19979\n0.75 0.70644\nName: 614, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.263878607047107, std values: 4.767067059763343, min values: 9.8879e-07, max values: 39.026, median values: 0.14714, and quantile values: 0.25 0.044062\n0.50 0.147140\n0.75 0.610865\nName: 615, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5684329798999999, std values: 5.035015910225521, min values: 2.819e-06, max values: 40.104, median values: 0.27363, and quantile values: 0.25 0.079839\n0.50 0.273630\n0.75 0.999435\nName: 616, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4709396593383648, std values: 4.896797634531096, min values: 1.317e-06, max values: 39.228, median values: 0.21492, and quantile values: 0.25 0.061700\n0.50 0.214920\n0.75 0.864815\nName: 617, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.421606142864151, std values: 4.723806481123755, min values: 9.924e-07, max values: 38.408, median values: 0.22113, and quantile values: 0.25 0.061925\n0.50 0.221130\n0.75 0.858800\nName: 618, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6680736271421381, std values: 5.206783411517229, min values: 4.5537e-06, max values: 41.452, median values: 0.2489, and quantile values: 0.25 0.074876\n0.50 0.248900\n0.75 1.024155\nName: 619, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3984526138936477, std values: 4.671365538953782, min values: 6.4299e-07, max values: 37.903, median values: 0.19407, and quantile values: 0.25 0.051387\n0.50 0.194070\n0.75 0.836970\nName: 620, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4260020867421381, std values: 4.794726225039976, min values: 5.003e-07, max values: 38.231, median values: 0.1775, and quantile values: 0.25 0.052490\n0.50 0.177500\n0.75 0.824285\nName: 621, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6635098628748428, std values: 5.1221446512073365, min values: 2.1623e-06, max values: 40.928, median values: 0.31119, and quantile values: 0.25 0.085872\n0.50 0.311190\n0.75 1.093650\nName: 622, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5108608598652955, std values: 4.79435909398196, min values: 7.5412e-08, max values: 38.212, median values: 0.23321, and quantile values: 0.25 0.048077\n0.50 0.233210\n0.75 1.003075\nName: 623, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4543456524100629, std values: 4.8846815425593855, min values: 1.6296e-06, max values: 38.926, median values: 0.2106, and quantile values: 0.25 0.059769\n0.50 0.210600\n0.75 0.893400\nName: 624, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.504997369283019, std values: 4.757451869234073, min values: 1.2311e-06, max values: 37.69, median values: 0.25032, and quantile values: 0.25 0.060350\n0.50 0.250320\n0.75 0.963805\nName: 625, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.441005192835723, std values: 4.766937396110297, min values: 5.7708e-07, max values: 37.785, median values: 0.20371, and quantile values: 0.25 0.054575\n0.50 0.203710\n0.75 0.845180\nName: 626, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4071859719333335, std values: 4.996668937632865, min values: 1.9182e-06, max values: 40.548, median values: 0.20446, and quantile values: 0.25 0.056674\n0.50 0.204460\n0.75 0.789370\nName: 627, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5907365130101256, std values: 4.963661920830627, min values: 2.2441e-07, max values: 39.769, median values: 0.2491, and quantile values: 0.25 0.06014\n0.50 0.24910\n0.75 1.04035\nName: 628, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3916816949572326, std values: 4.9520367943126535, min values: 2.5888e-06, max values: 40.094, median values: 0.19777, and quantile values: 0.25 0.054962\n0.50 0.197770\n0.75 0.749630\nName: 629, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6293404558805031, std values: 5.042277777019912, min values: 1.7982e-06, max values: 39.675, median values: 0.25203, and quantile values: 0.25 0.069777\n0.50 0.252030\n0.75 1.082750\nName: 630, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.367052272368176, std values: 4.659510924824471, min values: 7.3854e-07, max values: 38.211, median values: 0.21367, and quantile values: 0.25 0.057085\n0.50 0.213670\n0.75 0.709115\nName: 631, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5363061371584905, std values: 4.955986642762166, min values: 4.337e-06, max values: 40.439, median values: 0.23675, and quantile values: 0.25 0.075667\n0.50 0.236750\n0.75 0.919275\nName: 632, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5492407721329182, std values: 4.647285808224209, min values: 2.3234e-08, max values: 37.023, median values: 0.21317, and quantile values: 0.25 0.059938\n0.50 0.213170\n0.75 1.047050\nName: 633, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3763600342968556, std values: 4.863622250244241, min values: 1.5488e-06, max values: 39.017, median values: 0.17741, and quantile values: 0.25 0.05728\n0.50 0.17741\n0.75 0.76586\nName: 634, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6690259476666038, std values: 5.003117671484481, min values: 5.7779e-07, max values: 40.143, median values: 0.30293, and quantile values: 0.25 0.073405\n0.50 0.302930\n0.75 1.088950\nName: 635, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4978573798813772, std values: 4.872162884375505, min values: 7.7139e-08, max values: 39.92, median values: 0.21271, and quantile values: 0.25 0.061519\n0.50 0.212710\n0.75 0.933130\nName: 636, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6078627323415093, std values: 5.06278328159759, min values: 4.2943e-06, max values: 40.205, median values: 0.26215, and quantile values: 0.25 0.081958\n0.50 0.262150\n0.75 1.009465\nName: 637, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3545736921979243, std values: 4.947107665637574, min values: 8.0957e-07, max values: 41.907, median values: 0.19375, and quantile values: 0.25 0.057097\n0.50 0.193750\n0.75 0.722935\nName: 638, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4701496941603773, std values: 4.941748536823075, min values: 2.9369e-06, max values: 40.652, median values: 0.20838, and quantile values: 0.25 0.071452\n0.50 0.208380\n0.75 0.835670\nName: 639, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5272569688842765, std values: 4.844293224511316, min values: 4.667e-07, max values: 38.365, median values: 0.28829, and quantile values: 0.25 0.064457\n0.50 0.288290\n0.75 0.950980\nName: 640, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5603078023864467, std values: 5.007570555419173, min values: 6.3345e-08, max values: 41.301, median values: 0.23644, and quantile values: 0.25 0.065826\n0.50 0.236440\n0.75 1.020450\nName: 641, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.592492187918868, std values: 5.027992176836122, min values: 4.6999e-06, max values: 40.581, median values: 0.26033, and quantile values: 0.25 0.067789\n0.50 0.260330\n0.75 0.947970\nName: 642, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3697241336986163, std values: 4.868925299533823, min values: 6.259e-07, max values: 39.602, median values: 0.17556, and quantile values: 0.25 0.051361\n0.50 0.175560\n0.75 0.756460\nName: 643, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.439641826108176, std values: 4.847602999798878, min values: 2.2408e-06, max values: 38.904, median values: 0.21408, and quantile values: 0.25 0.056257\n0.50 0.214080\n0.75 0.891550\nName: 644, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4343282300993712, std values: 4.952034970450252, min values: 2.3826e-06, max values: 40.117, median values: 0.19138, and quantile values: 0.25 0.060829\n0.50 0.191380\n0.75 0.794210\nName: 645, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3884256207279246, std values: 4.72739098614709, min values: 9.9264e-07, max values: 39.048, median values: 0.18785, and quantile values: 0.25 0.054448\n0.50 0.187850\n0.75 0.854520\nName: 646, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3466833871819497, std values: 4.8574856927680115, min values: 1.0731e-07, max values: 41.075, median values: 0.14915, and quantile values: 0.25 0.048591\n0.50 0.149150\n0.75 0.684870\nName: 647, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5337656600872955, std values: 4.914964269907302, min values: 4.818e-08, max values: 39.5, median values: 0.21092, and quantile values: 0.25 0.052198\n0.50 0.210920\n0.75 0.902895\nName: 648, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2864176825594338, std values: 4.755124586012272, min values: 4.1165e-07, max values: 38.371, median values: 0.15553, and quantile values: 0.25 0.045505\n0.50 0.155530\n0.75 0.674165\nName: 649, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4501087944775093, std values: 4.994472370690559, min values: 3.3744e-08, max values: 43.021, median values: 0.21606, and quantile values: 0.25 0.052957\n0.50 0.216060\n0.75 0.872550\nName: 650, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5425984454503143, std values: 4.777499687641947, min values: 1.9204e-06, max values: 39.089, median values: 0.26761, and quantile values: 0.25 0.06691\n0.50 0.26761\n0.75 1.02660\nName: 651, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4456975014284468, std values: 4.770066820967229, min values: 9.0723e-08, max values: 38.31, median values: 0.22619, and quantile values: 0.25 0.056939\n0.50 0.226190\n0.75 0.874515\nName: 652, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1490329785981133, std values: 4.7820712504048855, min values: 1.7685e-06, max values: 39.792, median values: 0.1315, and quantile values: 0.25 0.036212\n0.50 0.131500\n0.75 0.515165\nName: 653, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3570874105138364, std values: 4.789156042037161, min values: 3.3018e-06, max values: 40.308, median values: 0.19463, and quantile values: 0.25 0.062510\n0.50 0.194630\n0.75 0.742145\nName: 654, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.552807040647799, std values: 4.984839733037751, min values: 2.0202e-06, max values: 40.156, median values: 0.26546, and quantile values: 0.25 0.079148\n0.50 0.265460\n0.75 0.970630\nName: 655, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5475955512437736, std values: 4.807032085081088, min values: 9.8546e-07, max values: 38.205, median values: 0.26176, and quantile values: 0.25 0.071626\n0.50 0.261760\n0.75 0.993620\nName: 656, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4440499714828932, std values: 4.897167501983099, min values: 4.2138e-07, max values: 40.114, median values: 0.20962, and quantile values: 0.25 0.062048\n0.50 0.209620\n0.75 0.819300\nName: 657, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5326453328597482, std values: 5.104581320646742, min values: 2.7399e-06, max values: 41.463, median values: 0.24003, and quantile values: 0.25 0.065694\n0.50 0.240030\n0.75 0.903075\nName: 658, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3146675818945284, std values: 4.6435446654549075, min values: 2.8413e-07, max values: 37.553, median values: 0.17934, and quantile values: 0.25 0.048882\n0.50 0.179340\n0.75 0.748320\nName: 659, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3933683630784404, std values: 5.097467578743994, min values: 1.6362e-08, max values: 45.176, median values: 0.18003, and quantile values: 0.25 0.044793\n0.50 0.180030\n0.75 0.767965\nName: 660, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2809919883964151, std values: 4.769270087583969, min values: 9.4363e-07, max values: 38.285, median values: 0.15008, and quantile values: 0.25 0.045854\n0.50 0.150080\n0.75 0.667030\nName: 661, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3998125194295599, std values: 4.705792930915372, min values: 1.0608e-06, max values: 39.167, median values: 0.18822, and quantile values: 0.25 0.061925\n0.50 0.188220\n0.75 0.831640\nName: 662, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2744740029201258, std values: 4.637536048166668, min values: 2.6553e-06, max values: 39.684, median values: 0.18223, and quantile values: 0.25 0.049806\n0.50 0.182230\n0.75 0.651050\nName: 663, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.473383788483289, std values: 4.982964451362455, min values: 1.6643e-08, max values: 42.553, median values: 0.21185, and quantile values: 0.25 0.057371\n0.50 0.211850\n0.75 0.974885\nName: 664, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5239135037678615, std values: 5.195979348442853, min values: 9.8249e-07, max values: 45.177, median values: 0.22561, and quantile values: 0.25 0.065943\n0.50 0.225610\n0.75 0.912135\nName: 665, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5398627432804401, std values: 4.9129840490011984, min values: 4.1079e-07, max values: 39.924, median values: 0.2502, and quantile values: 0.25 0.059361\n0.50 0.250200\n0.75 0.903885\nName: 666, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3992788925503148, std values: 4.676741465531937, min values: 3.0068e-06, max values: 39.622, median values: 0.197, and quantile values: 0.25 0.068538\n0.50 0.197000\n0.75 0.797025\nName: 667, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.433779037028302, std values: 4.58461401751666, min values: 1.2147e-06, max values: 38.174, median values: 0.25201, and quantile values: 0.25 0.070803\n0.50 0.252010\n0.75 0.899250\nName: 668, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2855215170006289, std values: 4.611856163260194, min values: 1.83e-07, max values: 38.305, median values: 0.16445, and quantile values: 0.25 0.050873\n0.50 0.164450\n0.75 0.703700\nName: 669, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.495564330654088, std values: 5.328990389434445, min values: 2.1638e-06, max values: 45.872, median values: 0.2343, and quantile values: 0.25 0.065240\n0.50 0.234300\n0.75 0.818345\nName: 670, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2806427627422643, std values: 4.400708138355774, min values: 7.8052e-07, max values: 37.416, median values: 0.1793, and quantile values: 0.25 0.056597\n0.50 0.179300\n0.75 0.766720\nName: 671, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5685041227157863, std values: 4.915666490102401, min values: 4.6141e-07, max values: 39.409, median values: 0.23999, and quantile values: 0.25 0.065718\n0.50 0.239990\n0.75 1.031300\nName: 672, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5783926029938993, std values: 4.8831400898107304, min values: 7.4543e-07, max values: 38.227, median values: 0.22638, and quantile values: 0.25 0.064866\n0.50 0.226380\n0.75 1.022350\nName: 673, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3074973817408806, std values: 4.879425422687391, min values: 2.2801e-06, max values: 39.813, median values: 0.17991, and quantile values: 0.25 0.055012\n0.50 0.179910\n0.75 0.627855\nName: 674, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3544713248177989, std values: 4.822224996548414, min values: 1.6026e-07, max values: 40.485, median values: 0.18892, and quantile values: 0.25 0.047716\n0.50 0.188920\n0.75 0.687040\nName: 675, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5527175202052201, std values: 4.875401670177212, min values: 9.1433e-07, max values: 38.511, median values: 0.23887, and quantile values: 0.25 0.066750\n0.50 0.238870\n0.75 0.955035\nName: 676, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4360232429372326, std values: 4.808268760646134, min values: 7.2392e-07, max values: 38.483, median values: 0.2107, and quantile values: 0.25 0.060799\n0.50 0.210700\n0.75 0.863955\nName: 677, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5949967501515094, std values: 5.0071951169168205, min values: 4.5729e-07, max values: 40.649, median values: 0.24367, and quantile values: 0.25 0.068809\n0.50 0.243670\n0.75 0.985345\nName: 678, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6452040185012582, std values: 5.052554480561503, min values: 3.8993e-06, max values: 40.714, median values: 0.26678, and quantile values: 0.25 0.066583\n0.50 0.266780\n0.75 1.052450\nName: 679, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7277542478855346, std values: 5.078766086278325, min values: 1.5699e-06, max values: 40.002, median values: 0.31104, and quantile values: 0.25 0.087024\n0.50 0.311040\n0.75 1.206950\nName: 680, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6080291937773585, std values: 5.088082347880388, min values: 1.669e-06, max values: 41.083, median values: 0.23289, and quantile values: 0.25 0.066018\n0.50 0.232890\n0.75 1.085500\nName: 681, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6821615068987419, std values: 5.156250248756024, min values: 4.5061e-06, max values: 40.476, median values: 0.29006, and quantile values: 0.25 0.083727\n0.50 0.290060\n0.75 1.075400\nName: 682, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5114011801528302, std values: 5.260076567825661, min values: 4.895e-06, max values: 43.744, median values: 0.20132, and quantile values: 0.25 0.059673\n0.50 0.201320\n0.75 0.846775\nName: 683, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.470078400401195, std values: 4.981177407233341, min values: 2.0499e-07, max values: 41.28, median values: 0.21041, and quantile values: 0.25 0.050335\n0.50 0.210410\n0.75 0.834840\nName: 684, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.572475371271761, std values: 5.058032733264778, min values: 4.5061e-07, max values: 42.525, median values: 0.21484, and quantile values: 0.25 0.058177\n0.50 0.214840\n0.75 0.902545\nName: 685, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.455458151246541, std values: 5.0086202793986585, min values: 1.9474e-06, max values: 41.579, median values: 0.22923, and quantile values: 0.25 0.057933\n0.50 0.229230\n0.75 0.833260\nName: 686, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2967988338888679, std values: 4.5457135436755305, min values: 1.3786e-07, max values: 36.076, median values: 0.16709, and quantile values: 0.25 0.044663\n0.50 0.167090\n0.75 0.686630\nName: 687, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5022331263522013, std values: 4.98711776891528, min values: 3.025e-06, max values: 40.108, median values: 0.21621, and quantile values: 0.25 0.068213\n0.50 0.216210\n0.75 0.865705\nName: 688, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4324450129408806, std values: 5.001522106417453, min values: 1.4878e-06, max values: 42.033, median values: 0.24546, and quantile values: 0.25 0.065805\n0.50 0.245460\n0.75 0.821325\nName: 689, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.444109811781761, std values: 5.044061094369827, min values: 2.1499e-06, max values: 41.661, median values: 0.22405, and quantile values: 0.25 0.066362\n0.50 0.224050\n0.75 0.887885\nName: 690, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4090553393597485, std values: 5.033334700089441, min values: 2.958e-06, max values: 40.628, median values: 0.2209, and quantile values: 0.25 0.063414\n0.50 0.220900\n0.75 0.748885\nName: 691, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.528895682637736, std values: 5.162073782546139, min values: 4.9066e-06, max values: 41.079, median values: 0.24395, and quantile values: 0.25 0.07946\n0.50 0.24395\n0.75 0.75702\nName: 692, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6546971975679243, std values: 5.12012045726558, min values: 5.8994e-06, max values: 41.045, median values: 0.285, and quantile values: 0.25 0.075387\n0.50 0.285000\n0.75 0.984595\nName: 693, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3875731790056602, std values: 4.916897202967214, min values: 2.0364e-06, max values: 39.823, median values: 0.20242, and quantile values: 0.25 0.057515\n0.50 0.202420\n0.75 0.811440\nName: 694, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4674594761344655, std values: 4.855128625971063, min values: 7.0018e-07, max values: 38.663, median values: 0.19992, and quantile values: 0.25 0.056369\n0.50 0.199920\n0.75 0.871870\nName: 695, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6091036545138364, std values: 5.203279072705156, min values: 1.0647e-06, max values: 44.695, median values: 0.28237, and quantile values: 0.25 0.075016\n0.50 0.282370\n0.75 1.013900\nName: 696, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3625707773233964, std values: 4.8418477409670535, min values: 6.6822e-07, max values: 39.337, median values: 0.20471, and quantile values: 0.25 0.054577\n0.50 0.204710\n0.75 0.699305\nName: 697, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5067925829885533, std values: 4.722818036263072, min values: 8.0378e-07, max values: 36.839, median values: 0.23731, and quantile values: 0.25 0.072034\n0.50 0.237310\n0.75 0.921975\nName: 698, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4246245366251573, std values: 4.775009108758827, min values: 1.2204e-06, max values: 38.255, median values: 0.20191, and quantile values: 0.25 0.061778\n0.50 0.201910\n0.75 0.872540\nName: 699, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3186796763869182, std values: 4.73803181804815, min values: 5.7752e-07, max values: 38.04, median values: 0.13554, and quantile values: 0.25 0.041811\n0.50 0.135540\n0.75 0.733885\nName: 700, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.769866276001258, std values: 5.224419332779469, min values: 6.4822e-06, max values: 41.072, median values: 0.30951, and quantile values: 0.25 0.076497\n0.50 0.309510\n0.75 1.119750\nName: 701, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.223653805869434, std values: 4.625743206207849, min values: 1.2921e-07, max values: 37.571, median values: 0.15102, and quantile values: 0.25 0.042642\n0.50 0.151020\n0.75 0.584010\nName: 702, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5526709263402514, std values: 5.10172719415367, min values: 3.1649e-06, max values: 40.869, median values: 0.25052, and quantile values: 0.25 0.073573\n0.50 0.250520\n0.75 0.862285\nName: 703, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4721206543368552, std values: 5.015061832498447, min values: 7.9116e-07, max values: 41.855, median values: 0.22717, and quantile values: 0.25 0.062005\n0.50 0.227170\n0.75 0.862800\nName: 704, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3762835003836478, std values: 4.912862123929538, min values: 1.0739e-06, max values: 40.039, median values: 0.18681, and quantile values: 0.25 0.054290\n0.50 0.186810\n0.75 0.782685\nName: 705, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2254968013742136, std values: 4.609051843941438, min values: 9.345e-07, max values: 38.419, median values: 0.1683, and quantile values: 0.25 0.046911\n0.50 0.168300\n0.75 0.672745\nName: 706, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6794173470407547, std values: 5.097098805596151, min values: 5.3378e-07, max values: 42.22, median values: 0.25492, and quantile values: 0.25 0.070383\n0.50 0.254920\n0.75 1.163450\nName: 707, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4543194185922015, std values: 5.02143501888237, min values: 2.5196e-07, max values: 43.111, median values: 0.2015, and quantile values: 0.25 0.052637\n0.50 0.201500\n0.75 0.830740\nName: 708, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8067955576723271, std values: 5.766017648020613, min values: 3.0147e-06, max values: 51.801, median values: 0.3192, and quantile values: 0.25 0.088348\n0.50 0.319200\n0.75 1.038050\nName: 709, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3592019610798112, std values: 4.948421690730836, min values: 9.0009e-07, max values: 42.159, median values: 0.17147, and quantile values: 0.25 0.058702\n0.50 0.171470\n0.75 0.688805\nName: 710, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.563395303028931, std values: 4.970661278819605, min values: 2.6398e-06, max values: 39.576, median values: 0.25728, and quantile values: 0.25 0.074527\n0.50 0.257280\n0.75 0.953630\nName: 711, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2056597901591195, std values: 4.602435626196644, min values: 1.9073e-06, max values: 38.528, median values: 0.15521, and quantile values: 0.25 0.049867\n0.50 0.155210\n0.75 0.611030\nName: 712, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5478446859301889, std values: 5.084667720049087, min values: 1.0791e-06, max values: 42.326, median values: 0.24458, and quantile values: 0.25 0.067400\n0.50 0.244580\n0.75 0.964645\nName: 713, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5237181695253457, std values: 4.826013400868096, min values: 7.5733e-07, max values: 38.035, median values: 0.23145, and quantile values: 0.25 0.063682\n0.50 0.231450\n0.75 0.929515\nName: 714, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7017422159169813, std values: 4.863300787941904, min values: 2.861e-06, max values: 39.12, median values: 0.28327, and quantile values: 0.25 0.082313\n0.50 0.283270\n0.75 1.220100\nName: 715, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3766620800641511, std values: 4.944614039167632, min values: 1.7578e-06, max values: 40.236, median values: 0.18046, and quantile values: 0.25 0.051742\n0.50 0.180460\n0.75 0.716590\nName: 716, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2684446519691825, std values: 4.89775035758644, min values: 1.3213e-06, max values: 40.691, median values: 0.17333, and quantile values: 0.25 0.055804\n0.50 0.173330\n0.75 0.652880\nName: 717, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1428512417515724, std values: 4.732759043202284, min values: 1.0153e-06, max values: 38.877, median values: 0.11194, and quantile values: 0.25 0.03815\n0.50 0.11194\n0.75 0.48549\nName: 718, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6638641954232707, std values: 5.332629303471542, min values: 2.9755e-06, max values: 44.255, median values: 0.26154, and quantile values: 0.25 0.072256\n0.50 0.261540\n0.75 1.000490\nName: 719, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3695660074962264, std values: 4.652385406029393, min values: 5.298e-07, max values: 37.847, median values: 0.20692, and quantile values: 0.25 0.054814\n0.50 0.206920\n0.75 0.810325\nName: 720, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.376861202677585, std values: 4.749134100566399, min values: 2.7636e-08, max values: 37.922, median values: 0.19022, and quantile values: 0.25 0.052504\n0.50 0.190220\n0.75 0.820020\nName: 721, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7089320559716983, std values: 5.130473395956492, min values: 3.3653e-06, max values: 40.482, median values: 0.31218, and quantile values: 0.25 0.083226\n0.50 0.312180\n0.75 1.147950\nName: 722, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4437179497161636, std values: 4.688573928986718, min values: 9.3297e-07, max values: 38.072, median values: 0.24647, and quantile values: 0.25 0.072988\n0.50 0.246470\n0.75 0.833045\nName: 723, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4009213829112641, std values: 4.809895761799881, min values: 2.9151e-08, max values: 39.489, median values: 0.22084, and quantile values: 0.25 0.045099\n0.50 0.220840\n0.75 0.870360\nName: 724, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.584093105109434, std values: 4.925898890081993, min values: 1.3984e-06, max values: 38.972, median values: 0.23729, and quantile values: 0.25 0.074494\n0.50 0.237290\n0.75 1.031550\nName: 725, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5113832873095598, std values: 5.0446755821646105, min values: 2.7152e-07, max values: 42.748, median values: 0.20901, and quantile values: 0.25 0.055974\n0.50 0.209010\n0.75 0.940630\nName: 726, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4925599039530126, std values: 4.981786638837194, min values: 1.8929e-08, max values: 42.058, median values: 0.20044, and quantile values: 0.25 0.057919\n0.50 0.200440\n0.75 0.918420\nName: 727, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4815429478622641, std values: 5.09896286047758, min values: 3.2711e-06, max values: 41.759, median values: 0.20457, and quantile values: 0.25 0.065658\n0.50 0.204570\n0.75 0.822675\nName: 728, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3886980477537108, std values: 4.6599907929716045, min values: 6.3914e-07, max values: 38.716, median values: 0.17511, and quantile values: 0.25 0.054439\n0.50 0.175110\n0.75 0.882815\nName: 729, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2705522523689936, std values: 4.763659400732789, min values: 8.5637e-07, max values: 38.503, median values: 0.14832, and quantile values: 0.25 0.050415\n0.50 0.148320\n0.75 0.677455\nName: 730, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6692062381672959, std values: 5.13397589797365, min values: 3.2646e-06, max values: 41.427, median values: 0.29526, and quantile values: 0.25 0.087714\n0.50 0.295260\n0.75 1.087450\nName: 731, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4038585548038367, std values: 4.832592765488157, min values: 1.6361e-07, max values: 39.483, median values: 0.1537, and quantile values: 0.25 0.044887\n0.50 0.153700\n0.75 0.757205\nName: 732, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4019160046961385, std values: 4.78981686972049, min values: 9.9916e-08, max values: 38.656, median values: 0.19577, and quantile values: 0.25 0.052196\n0.50 0.195770\n0.75 0.842475\nName: 733, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3416787455372452, std values: 4.74413501419092, min values: 2.2582e-08, max values: 38.645, median values: 0.17545, and quantile values: 0.25 0.041999\n0.50 0.175450\n0.75 0.739905\nName: 734, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6958335047169812, std values: 4.991499120283617, min values: 3.4942e-06, max values: 40.357, median values: 0.32039, and quantile values: 0.25 0.085302\n0.50 0.320390\n0.75 1.132600\nName: 735, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3311582615874213, std values: 4.906277965050881, min values: 2.3396e-06, max values: 39.654, median values: 0.15796, and quantile values: 0.25 0.050943\n0.50 0.157960\n0.75 0.695615\nName: 736, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4088603345962265, std values: 4.794479438837006, min values: 2.2099e-06, max values: 39.191, median values: 0.19918, and quantile values: 0.25 0.055805\n0.50 0.199180\n0.75 0.821810\nName: 737, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6634499271081762, std values: 5.303263074906797, min values: 4.1482e-06, max values: 43.614, median values: 0.25617, and quantile values: 0.25 0.074891\n0.50 0.256170\n0.75 1.017920\nName: 738, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2473648287780126, std values: 4.4209355388946365, min values: 2.2897e-08, max values: 35.533, median values: 0.16056, and quantile values: 0.25 0.034926\n0.50 0.160560\n0.75 0.673890\nName: 739, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.46465684450566, std values: 4.875413505443285, min values: 3.358e-06, max values: 39.775, median values: 0.22389, and quantile values: 0.25 0.064299\n0.50 0.223890\n0.75 0.880990\nName: 740, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2530860063402518, std values: 4.626089360783409, min values: 1.1595e-06, max values: 39.142, median values: 0.16322, and quantile values: 0.25 0.042683\n0.50 0.163220\n0.75 0.690990\nName: 741, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.673932012818239, std values: 5.076378831986185, min values: 2.304e-06, max values: 40.429, median values: 0.25958, and quantile values: 0.25 0.07401\n0.50 0.25958\n0.75 1.11015\nName: 742, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6458463002314465, std values: 5.205145155407194, min values: 1.0111e-06, max values: 44.117, median values: 0.25137, and quantile values: 0.25 0.071862\n0.50 0.251370\n0.75 1.059700\nName: 743, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7419932701578615, std values: 5.283971885233385, min values: 1.8945e-06, max values: 43.691, median values: 0.29867, and quantile values: 0.25 0.074497\n0.50 0.298670\n0.75 1.201200\nName: 744, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.965099881746541, std values: 5.54618495363262, min values: 3.6352e-06, max values: 46.291, median values: 0.3496, and quantile values: 0.25 0.091108\n0.50 0.349600\n0.75 1.415550\nName: 745, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4203774642128302, std values: 4.963768079694973, min values: 6.9974e-07, max values: 41.864, median values: 0.20785, and quantile values: 0.25 0.061913\n0.50 0.207850\n0.75 0.765590\nName: 746, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5701983625515723, std values: 5.01186344119756, min values: 1.967e-06, max values: 39.855, median values: 0.2436, and quantile values: 0.25 0.077982\n0.50 0.243600\n0.75 0.947905\nName: 747, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4692724909748427, std values: 4.896224513815094, min values: 1.0655e-06, max values: 39.702, median values: 0.24322, and quantile values: 0.25 0.076523\n0.50 0.243220\n0.75 0.913775\nName: 748, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6240519504578617, std values: 4.941099781820225, min values: 1.0067e-06, max values: 38.699, median values: 0.27099, and quantile values: 0.25 0.076138\n0.50 0.270990\n0.75 1.073100\nName: 749, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6444361751685534, std values: 5.090922950568172, min values: 4.3768e-06, max values: 40.549, median values: 0.28694, and quantile values: 0.25 0.083334\n0.50 0.286940\n0.75 1.060900\nName: 750, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5806596962597483, std values: 4.81203981109326, min values: 2.8744e-06, max values: 39.61, median values: 0.27936, and quantile values: 0.25 0.079314\n0.50 0.279360\n0.75 1.012555\nName: 751, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4764140193037736, std values: 4.588459693796968, min values: 1.317e-06, max values: 38.715, median values: 0.23725, and quantile values: 0.25 0.066568\n0.50 0.237250\n0.75 0.993860\nName: 752, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5438256160647796, std values: 5.100198098512671, min values: 3.7641e-06, max values: 40.548, median values: 0.23272, and quantile values: 0.25 0.06060\n0.50 0.23272\n0.75 0.88989\nName: 753, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.388022322378214, std values: 4.707810643075206, min values: 1.8136e-08, max values: 37.32, median values: 0.18239, and quantile values: 0.25 0.053702\n0.50 0.182390\n0.75 0.894410\nName: 754, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3902946618823901, std values: 4.786678353570555, min values: 1.213e-06, max values: 38.363, median values: 0.23249, and quantile values: 0.25 0.057260\n0.50 0.232490\n0.75 0.831575\nName: 755, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4226127320867923, std values: 5.17098015992374, min values: 1.9578e-06, max values: 44.373, median values: 0.21707, and quantile values: 0.25 0.057043\n0.50 0.217070\n0.75 0.759170\nName: 756, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.664492053996038, std values: 5.178543544268799, min values: 6.2387e-07, max values: 42.938, median values: 0.26221, and quantile values: 0.25 0.068289\n0.50 0.262210\n0.75 1.090250\nName: 757, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4843599867861634, std values: 5.004636366090271, min values: 1.7815e-06, max values: 40.607, median values: 0.24119, and quantile values: 0.25 0.073073\n0.50 0.241190\n0.75 0.887605\nName: 758, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6833296790301888, std values: 5.128887885547261, min values: 3.1563e-06, max values: 40.977, median values: 0.27803, and quantile values: 0.25 0.086844\n0.50 0.278030\n0.75 1.116900\nName: 759, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4136114478849244, std values: 4.899686335813322, min values: 2.6103e-08, max values: 41.427, median values: 0.17651, and quantile values: 0.25 0.040971\n0.50 0.176510\n0.75 0.807730\nName: 760, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4920185268232706, std values: 4.951704151640696, min values: 3.514e-07, max values: 40.928, median values: 0.22594, and quantile values: 0.25 0.058332\n0.50 0.225940\n0.75 0.963025\nName: 761, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.588823600619497, std values: 5.065695448085685, min values: 1.1565e-06, max values: 41.439, median values: 0.27188, and quantile values: 0.25 0.067037\n0.50 0.271880\n0.75 0.981460\nName: 762, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.705606857583019, std values: 5.12109222640825, min values: 3.6769e-06, max values: 40.729, median values: 0.27666, and quantile values: 0.25 0.076549\n0.50 0.276660\n0.75 1.071050\nName: 763, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.481398168900629, std values: 4.796513894854009, min values: 2.409e-06, max values: 38.91, median values: 0.24118, and quantile values: 0.25 0.070675\n0.50 0.241180\n0.75 0.926615\nName: 764, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1249251336172956, std values: 4.567403248464424, min values: 3.5386e-07, max values: 36.823, median values: 0.10985, and quantile values: 0.25 0.030436\n0.50 0.109850\n0.75 0.491840\nName: 765, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7215899419999998, std values: 5.252471673646811, min values: 5.435e-06, max values: 41.418, median values: 0.30859, and quantile values: 0.25 0.07450\n0.50 0.30859\n0.75 1.07950\nName: 766, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6267345336850942, std values: 5.245780840540111, min values: 6.0253e-07, max values: 45.19, median values: 0.26365, and quantile values: 0.25 0.063244\n0.50 0.263650\n0.75 0.981025\nName: 767, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4835595471132075, std values: 4.711989540405713, min values: 1.9764e-06, max values: 38.761, median values: 0.24507, and quantile values: 0.25 0.059249\n0.50 0.245070\n0.75 0.973655\nName: 768, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6576511649232704, std values: 5.143552707522148, min values: 3.3697e-06, max values: 40.753, median values: 0.2725, and quantile values: 0.25 0.075138\n0.50 0.272500\n0.75 1.012950\nName: 769, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.277232477874132, std values: 4.749817585014696, min values: 1.7687e-08, max values: 39.573, median values: 0.16611, and quantile values: 0.25 0.040062\n0.50 0.166110\n0.75 0.641890\nName: 770, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4399731915828429, std values: 4.870999808936016, min values: 1.8872e-08, max values: 40.058, median values: 0.18239, and quantile values: 0.25 0.053317\n0.50 0.182390\n0.75 0.804005\nName: 771, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.522683261401258, std values: 5.091852168996369, min values: 3.5564e-06, max values: 40.71, median values: 0.2389, and quantile values: 0.25 0.067743\n0.50 0.238900\n0.75 0.891930\nName: 772, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1946860014836478, std values: 4.453546357331521, min values: 1.4096e-06, max values: 38.932, median values: 0.14695, and quantile values: 0.25 0.047160\n0.50 0.146950\n0.75 0.634065\nName: 773, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5611270368690564, std values: 4.724025980052479, min values: 8.7888e-07, max values: 37.427, median values: 0.23531, and quantile values: 0.25 0.068012\n0.50 0.235310\n0.75 1.025150\nName: 774, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5187579736031447, std values: 5.214890041698125, min values: 2.7298e-06, max values: 43.549, median values: 0.23589, and quantile values: 0.25 0.068217\n0.50 0.235890\n0.75 0.906405\nName: 775, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.229342719115327, std values: 4.690848688150068, min values: 2.0397e-08, max values: 38.894, median values: 0.14556, and quantile values: 0.25 0.035855\n0.50 0.145560\n0.75 0.610390\nName: 776, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1429270760396857, std values: 4.387917427884216, min values: 6.7823e-07, max values: 35.312, median values: 0.12346, and quantile values: 0.25 0.037466\n0.50 0.123460\n0.75 0.476150\nName: 777, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3872045646490567, std values: 4.75699610104519, min values: 2.5543e-06, max values: 39.872, median values: 0.20176, and quantile values: 0.25 0.063649\n0.50 0.201760\n0.75 0.771145\nName: 778, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6075868457245284, std values: 4.995657483897221, min values: 1.316e-06, max values: 39.957, median values: 0.26793, and quantile values: 0.25 0.070031\n0.50 0.267930\n0.75 1.076150\nName: 779, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6743896696978617, std values: 5.162943793041591, min values: 5.7206e-07, max values: 43.584, median values: 0.24314, and quantile values: 0.25 0.067216\n0.50 0.243140\n0.75 1.067750\nName: 780, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6313631811723273, std values: 5.03444697964018, min values: 1.4128e-06, max values: 39.955, median values: 0.26524, and quantile values: 0.25 0.071377\n0.50 0.265240\n0.75 1.095300\nName: 781, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2653014057955345, std values: 4.532982037990098, min values: 3.8492e-07, max values: 36.788, median values: 0.14972, and quantile values: 0.25 0.045988\n0.50 0.149720\n0.75 0.690255\nName: 782, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5966413301, std values: 5.178614734403237, min values: 4.2002e-06, max values: 42.41, median values: 0.23839, and quantile values: 0.25 0.067349\n0.50 0.238390\n0.75 0.983970\nName: 783, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.31342100668239, std values: 4.9071900638163495, min values: 1.8098e-06, max values: 39.679, median values: 0.18892, and quantile values: 0.25 0.054947\n0.50 0.188920\n0.75 0.746290\nName: 784, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6231894579320758, std values: 5.169285862006196, min values: 3.1028e-06, max values: 41.49, median values: 0.25349, and quantile values: 0.25 0.078378\n0.50 0.253490\n0.75 0.965760\nName: 785, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3162435555303713, std values: 4.90649368100116, min values: 2.1429e-08, max values: 42.81, median values: 0.16445, and quantile values: 0.25 0.037418\n0.50 0.164450\n0.75 0.680110\nName: 786, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3990879288981133, std values: 4.835622784815572, min values: 1.7969e-06, max values: 38.906, median values: 0.20698, and quantile values: 0.25 0.062922\n0.50 0.206980\n0.75 0.851650\nName: 787, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4916439396477985, std values: 4.92614474977858, min values: 1.0761e-06, max values: 39.291, median values: 0.24545, and quantile values: 0.25 0.058064\n0.50 0.245450\n0.75 0.836790\nName: 788, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6262324908436478, std values: 5.156070329325709, min values: 7.1424e-07, max values: 43.001, median values: 0.23331, and quantile values: 0.25 0.068162\n0.50 0.233310\n0.75 0.979770\nName: 789, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5202639779716978, std values: 5.243585265767305, min values: 3.837e-06, max values: 43.976, median values: 0.21978, and quantile values: 0.25 0.069668\n0.50 0.219780\n0.75 0.855875\nName: 790, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4394307579150942, std values: 4.884279393513965, min values: 2.4765e-06, max values: 39.544, median values: 0.22766, and quantile values: 0.25 0.068614\n0.50 0.227660\n0.75 0.831375\nName: 791, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6961523150016353, std values: 5.117180887070057, min values: 6.9936e-07, max values: 42.222, median values: 0.27343, and quantile values: 0.25 0.073184\n0.50 0.273430\n0.75 1.160150\nName: 792, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3290076667149684, std values: 4.676683914453713, min values: 5.9538e-07, max values: 37.829, median values: 0.20602, and quantile values: 0.25 0.055144\n0.50 0.206020\n0.75 0.773535\nName: 793, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5306046887672957, std values: 5.042164807318567, min values: 2.1161e-06, max values: 40.69, median values: 0.23274, and quantile values: 0.25 0.066296\n0.50 0.232740\n0.75 0.952680\nName: 794, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.51936514488239, std values: 5.195746491143798, min values: 1.6029e-06, max values: 44.042, median values: 0.22038, and quantile values: 0.25 0.067269\n0.50 0.220380\n0.75 0.891495\nName: 795, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3368893360721386, std values: 4.727106937576332, min values: 1.4287e-07, max values: 37.862, median values: 0.16001, and quantile values: 0.25 0.04907\n0.50 0.16001\n0.75 0.68230\nName: 796, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5597250647424767, std values: 5.546708044714039, min values: 7.4638e-09, max values: 52.43, median values: 0.14408, and quantile values: 0.25 0.038570\n0.50 0.144080\n0.75 0.872915\nName: 797, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.332792980087673, std values: 4.651738856760429, min values: 4.4274e-07, max values: 38.844, median values: 0.17567, and quantile values: 0.25 0.047940\n0.50 0.175670\n0.75 0.750605\nName: 798, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.266909501989182, std values: 4.78104053185508, min values: 2.5398e-07, max values: 39.955, median values: 0.1754, and quantile values: 0.25 0.047007\n0.50 0.175400\n0.75 0.689290\nName: 799, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6601146661578616, std values: 5.2456565392969186, min values: 1.6305e-06, max values: 44.201, median values: 0.26525, and quantile values: 0.25 0.074958\n0.50 0.265250\n0.75 1.059750\nName: 800, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4233305384459118, std values: 5.006331840364711, min values: 2.9745e-06, max values: 40.713, median values: 0.21326, and quantile values: 0.25 0.064435\n0.50 0.213260\n0.75 0.836145\nName: 801, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.406519399571698, std values: 4.873332091687757, min values: 1.77e-06, max values: 39.255, median values: 0.22777, and quantile values: 0.25 0.065110\n0.50 0.227770\n0.75 0.817455\nName: 802, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2831659324440254, std values: 4.611394000419966, min values: 3.348e-07, max values: 37.54, median values: 0.1791, and quantile values: 0.25 0.050626\n0.50 0.179100\n0.75 0.712595\nName: 803, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5258784732742137, std values: 5.058196473139668, min values: 2.421e-06, max values: 40.614, median values: 0.24251, and quantile values: 0.25 0.060970\n0.50 0.242510\n0.75 0.919465\nName: 804, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2739837604280062, std values: 4.670449285324789, min values: 2.4153e-08, max values: 37.557, median values: 0.14315, and quantile values: 0.25 0.041578\n0.50 0.143150\n0.75 0.693285\nName: 805, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3760573700604404, std values: 4.59727008874241, min values: 1.5191e-07, max values: 36.969, median values: 0.2121, and quantile values: 0.25 0.056573\n0.50 0.212100\n0.75 0.879955\nName: 806, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4512903451552204, std values: 4.847822215389852, min values: 4.8308e-07, max values: 39.039, median values: 0.21998, and quantile values: 0.25 0.057253\n0.50 0.219980\n0.75 0.869345\nName: 807, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4146814028275663, std values: 4.884978608994628, min values: 1.5139e-08, max values: 41.415, median values: 0.16281, and quantile values: 0.25 0.033374\n0.50 0.162810\n0.75 0.744465\nName: 808, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.510707985127673, std values: 4.953389503426913, min values: 4.1161e-06, max values: 41.419, median values: 0.23115, and quantile values: 0.25 0.067205\n0.50 0.231150\n0.75 0.822795\nName: 809, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3888121244805032, std values: 4.866193231847147, min values: 2.7054e-06, max values: 40.065, median values: 0.17604, and quantile values: 0.25 0.051097\n0.50 0.176040\n0.75 0.747650\nName: 810, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7112651116844526, std values: 5.691090189266682, min values: 2.4928e-08, max values: 53.174, median values: 0.24886, and quantile values: 0.25 0.05825\n0.50 0.24886\n0.75 1.00140\nName: 811, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6902377120572327, std values: 5.0000037801799415, min values: 1.6273e-06, max values: 38.881, median values: 0.27933, and quantile values: 0.25 0.085489\n0.50 0.279330\n0.75 1.178400\nName: 812, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5919890699733334, std values: 4.969912951057185, min values: 9.5126e-07, max values: 39.371, median values: 0.27697, and quantile values: 0.25 0.067245\n0.50 0.276970\n0.75 0.978165\nName: 813, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4777220625238996, std values: 4.9669684954855695, min values: 2.3194e-06, max values: 39.924, median values: 0.22064, and quantile values: 0.25 0.057383\n0.50 0.220640\n0.75 0.889330\nName: 814, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2068659545113838, std values: 4.425769801557458, min values: 4.2918e-07, max values: 36.01, median values: 0.146, and quantile values: 0.25 0.041889\n0.50 0.146000\n0.75 0.613085\nName: 815, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5787594438597483, std values: 5.1171205470431795, min values: 1.4046e-06, max values: 42.419, median values: 0.247, and quantile values: 0.25 0.063881\n0.50 0.247000\n0.75 0.920515\nName: 816, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5124425886754715, std values: 4.921634310479614, min values: 1.1994e-06, max values: 39.307, median values: 0.26513, and quantile values: 0.25 0.064045\n0.50 0.265130\n0.75 0.943900\nName: 817, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.383581768755346, std values: 4.815643683034477, min values: 1.4176e-06, max values: 39.145, median values: 0.18895, and quantile values: 0.25 0.054972\n0.50 0.188950\n0.75 0.832645\nName: 818, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4700566396369181, std values: 4.9729112954609835, min values: 1.2238e-07, max values: 42.342, median values: 0.19524, and quantile values: 0.25 0.047753\n0.50 0.195240\n0.75 0.849275\nName: 819, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4664416267954719, std values: 4.963315830478489, min values: 2.7895e-07, max values: 42.152, median values: 0.19113, and quantile values: 0.25 0.053963\n0.50 0.191130\n0.75 0.850095\nName: 820, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4977354355421386, std values: 5.0422919961927315, min values: 1.6364e-06, max values: 40.985, median values: 0.24472, and quantile values: 0.25 0.068835\n0.50 0.244720\n0.75 0.958180\nName: 821, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4971194942761006, std values: 4.930318516258171, min values: 3.1657e-06, max values: 40.238, median values: 0.25004, and quantile values: 0.25 0.066890\n0.50 0.250040\n0.75 0.877115\nName: 822, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5354780153484275, std values: 4.8917385222421315, min values: 2.1431e-06, max values: 39.049, median values: 0.26129, and quantile values: 0.25 0.069574\n0.50 0.261290\n0.75 0.967255\nName: 823, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5582358590789935, std values: 5.2838985273028225, min values: 7.4046e-07, max values: 46.713, median values: 0.20291, and quantile values: 0.25 0.058883\n0.50 0.202910\n0.75 1.015885\nName: 824, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3924308786679243, std values: 4.724070256526925, min values: 4.4824e-06, max values: 40.296, median values: 0.23086, and quantile values: 0.25 0.072792\n0.50 0.230860\n0.75 0.763680\nName: 825, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4170747705194968, std values: 5.202937665190692, min values: 3.6935e-06, max values: 44.175, median values: 0.20208, and quantile values: 0.25 0.059037\n0.50 0.202080\n0.75 0.716960\nName: 826, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6534862178705283, std values: 5.193049393091986, min values: 2.0014e-08, max values: 44.918, median values: 0.21378, and quantile values: 0.25 0.051736\n0.50 0.213780\n0.75 1.175050\nName: 827, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3123064169035596, std values: 4.6512984104880255, min values: 2.2716e-08, max values: 37.248, median values: 0.18241, and quantile values: 0.25 0.043831\n0.50 0.182410\n0.75 0.730535\nName: 828, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4757055753742139, std values: 4.952204361036756, min values: 2.5327e-06, max values: 39.812, median values: 0.20967, and quantile values: 0.25 0.067423\n0.50 0.209670\n0.75 0.935570\nName: 829, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.644835322344025, std values: 4.994952518262793, min values: 2.8512e-06, max values: 39.151, median values: 0.27094, and quantile values: 0.25 0.083322\n0.50 0.270940\n0.75 1.019150\nName: 830, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4578708326869814, std values: 4.80444966545572, min values: 7.5583e-07, max values: 38.28, median values: 0.22338, and quantile values: 0.25 0.070509\n0.50 0.223380\n0.75 0.881080\nName: 831, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.521316817154088, std values: 4.991525949038004, min values: 2.7439e-06, max values: 39.873, median values: 0.26082, and quantile values: 0.25 0.068891\n0.50 0.260820\n0.75 0.927250\nName: 832, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4784345516704402, std values: 4.890150422506646, min values: 2.515e-06, max values: 39.323, median values: 0.22742, and quantile values: 0.25 0.063089\n0.50 0.227420\n0.75 0.918895\nName: 833, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3403881521985535, std values: 4.628790257440237, min values: 4.1926e-07, max values: 37.085, median values: 0.16999, and quantile values: 0.25 0.046779\n0.50 0.169990\n0.75 0.746120\nName: 834, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7954619538025158, std values: 5.306432658496954, min values: 9.6406e-06, max values: 41.84, median values: 0.30425, and quantile values: 0.25 0.077953\n0.50 0.304250\n0.75 1.121550\nName: 835, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.537632908289547, std values: 5.01140316004298, min values: 5.4238e-08, max values: 41.731, median values: 0.22538, and quantile values: 0.25 0.057127\n0.50 0.225380\n0.75 0.901365\nName: 836, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6653961930113206, std values: 5.074819025214036, min values: 3.4807e-06, max values: 40.398, median values: 0.30084, and quantile values: 0.25 0.081709\n0.50 0.300840\n0.75 1.146100\nName: 837, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4454185841132703, std values: 4.7794697169039875, min values: 2.4386e-07, max values: 38.144, median values: 0.21772, and quantile values: 0.25 0.051439\n0.50 0.217720\n0.75 0.855090\nName: 838, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6011734207106918, std values: 5.029345310624959, min values: 1.0989e-06, max values: 40.227, median values: 0.24548, and quantile values: 0.25 0.071977\n0.50 0.245480\n0.75 1.033350\nName: 839, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6556667439295596, std values: 5.160006050790851, min values: 2.8267e-06, max values: 42.169, median values: 0.27048, and quantile values: 0.25 0.081434\n0.50 0.270480\n0.75 1.081850\nName: 840, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6462927942584904, std values: 5.088087263535413, min values: 0.0, max values: 41.084, median values: 0.27073, and quantile values: 0.25 0.073098\n0.50 0.270730\n0.75 1.086950\nName: 841, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6846557283201256, std values: 5.09833695626719, min values: 2.9869e-06, max values: 39.858, median values: 0.279, and quantile values: 0.25 0.073238\n0.50 0.279000\n0.75 1.152950\nName: 842, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6203764369729559, std values: 5.103346892106303, min values: 1.4381e-06, max values: 41.87, median values: 0.28919, and quantile values: 0.25 0.069180\n0.50 0.289190\n0.75 1.007015\nName: 843, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6112117862295599, std values: 4.93120463070415, min values: 2.0675e-06, max values: 39.249, median values: 0.27355, and quantile values: 0.25 0.079668\n0.50 0.273550\n0.75 1.053600\nName: 844, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.564203055125868, std values: 5.01529224947788, min values: 2.9653e-08, max values: 42.742, median values: 0.26004, and quantile values: 0.25 0.052853\n0.50 0.260040\n0.75 0.951940\nName: 845, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1909197945644026, std values: 4.485872566537761, min values: 5.7574e-07, max values: 38.599, median values: 0.12408, and quantile values: 0.25 0.041221\n0.50 0.124080\n0.75 0.658140\nName: 846, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.484994330337736, std values: 5.2452828402842036, min values: 2.4953e-06, max values: 44.291, median values: 0.23863, and quantile values: 0.25 0.062088\n0.50 0.238630\n0.75 0.835405\nName: 847, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.443903184907547, std values: 4.773154545250763, min values: 8.945e-07, max values: 38.279, median values: 0.23858, and quantile values: 0.25 0.069429\n0.50 0.238580\n0.75 0.851285\nName: 848, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4478411828031446, std values: 4.865030558017889, min values: 2.6129e-06, max values: 39.926, median values: 0.21516, and quantile values: 0.25 0.059248\n0.50 0.215160\n0.75 0.919695\nName: 849, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5553359447842767, std values: 4.890412646794702, min values: 3.1101e-06, max values: 39.554, median values: 0.23738, and quantile values: 0.25 0.076721\n0.50 0.237380\n0.75 0.958525\nName: 850, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.515088804147547, std values: 5.0425310828689796, min values: 4.9616e-07, max values: 42.928, median values: 0.22704, and quantile values: 0.25 0.065039\n0.50 0.227040\n0.75 0.921730\nName: 851, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.43316470218239, std values: 4.7904676327071245, min values: 1.3257e-06, max values: 38.577, median values: 0.20097, and quantile values: 0.25 0.058826\n0.50 0.200970\n0.75 0.874140\nName: 852, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.462853141698239, std values: 4.7767422942191375, min values: 7.3022e-07, max values: 38.411, median values: 0.25224, and quantile values: 0.25 0.065805\n0.50 0.252240\n0.75 0.901040\nName: 853, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4436679972420754, std values: 4.61080346542091, min values: 0.0, max values: 37.452, median values: 0.18444, and quantile values: 0.25 0.047411\n0.50 0.184440\n0.75 0.882690\nName: 854, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.446893875616981, std values: 4.868586411708947, min values: 3.5189e-06, max values: 40.278, median values: 0.22488, and quantile values: 0.25 0.063030\n0.50 0.224880\n0.75 0.813485\nName: 855, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.770060184114107, std values: 5.094741946563298, min values: 3.5943e-08, max values: 41.397, median values: 0.27245, and quantile values: 0.25 0.065728\n0.50 0.272450\n0.75 1.199250\nName: 856, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.62335649718239, std values: 5.18623937574984, min values: 5.803e-06, max values: 41.233, median values: 0.24809, and quantile values: 0.25 0.076546\n0.50 0.248090\n0.75 0.993710\nName: 857, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.427799851643396, std values: 4.95444442294191, min values: 3.6654e-06, max values: 41.279, median values: 0.19339, and quantile values: 0.25 0.054952\n0.50 0.193390\n0.75 0.734270\nName: 858, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5993267914566036, std values: 5.074969704796135, min values: 3.9598e-06, max values: 39.922, median values: 0.27033, and quantile values: 0.25 0.076348\n0.50 0.270330\n0.75 0.896885\nName: 859, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2727729466772957, std values: 4.780925941125607, min values: 8.4759e-07, max values: 38.54, median values: 0.16603, and quantile values: 0.25 0.047339\n0.50 0.166030\n0.75 0.665920\nName: 860, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4584210038145913, std values: 4.848274103858318, min values: 7.2372e-07, max values: 38.753, median values: 0.21875, and quantile values: 0.25 0.063748\n0.50 0.218750\n0.75 0.926620\nName: 861, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5177164573301887, std values: 5.012071478368977, min values: 1.0352e-06, max values: 40.552, median values: 0.20095, and quantile values: 0.25 0.058818\n0.50 0.200950\n0.75 0.886755\nName: 862, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2974129059668615, std values: 4.747141940708924, min values: 0.0, max values: 39.357, median values: 0.15155, and quantile values: 0.25 0.038863\n0.50 0.151550\n0.75 0.656030\nName: 863, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3326546302109685, std values: 4.874696394753497, min values: 1.7844e-08, max values: 41.092, median values: 0.15364, and quantile values: 0.25 0.044908\n0.50 0.153640\n0.75 0.716265\nName: 864, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.611488096197044, std values: 4.909535583298116, min values: 8.0913e-07, max values: 38.223, median values: 0.23612, and quantile values: 0.25 0.056218\n0.50 0.236120\n0.75 1.113440\nName: 865, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7392019220125785, std values: 5.281353871394985, min values: 6.89e-06, max values: 41.151, median values: 0.28058, and quantile values: 0.25 0.078456\n0.50 0.280580\n0.75 1.049950\nName: 866, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5747051663672957, std values: 5.1824323926031495, min values: 2.0129e-06, max values: 42.447, median values: 0.23716, and quantile values: 0.25 0.068636\n0.50 0.237160\n0.75 0.979115\nName: 867, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5677369117213837, std values: 4.924477699846365, min values: 1.3968e-06, max values: 38.995, median values: 0.25749, and quantile values: 0.25 0.079173\n0.50 0.257490\n0.75 1.031560\nName: 868, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4816123148896858, std values: 4.9385058151483925, min values: 2.9826e-07, max values: 40.997, median values: 0.22244, and quantile values: 0.25 0.058453\n0.50 0.222440\n0.75 0.921380\nName: 869, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4415008289710693, std values: 4.849715010482802, min values: 2.4141e-06, max values: 38.712, median values: 0.22899, and quantile values: 0.25 0.074506\n0.50 0.228990\n0.75 0.878405\nName: 870, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6807236495999998, std values: 5.049666028994755, min values: 2.8413e-06, max values: 39.396, median values: 0.27609, and quantile values: 0.25 0.085359\n0.50 0.276090\n0.75 1.074550\nName: 871, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5644933082574464, std values: 4.981264768297263, min values: 1.2849e-08, max values: 42.266, median values: 0.2113, and quantile values: 0.25 0.045506\n0.50 0.211300\n0.75 0.878410\nName: 872, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4634065027496852, std values: 4.959650086953548, min values: 2.379e-06, max values: 39.68, median values: 0.2081, and quantile values: 0.25 0.064117\n0.50 0.208100\n0.75 0.814040\nName: 873, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.34161801362805, std values: 5.070147935767452, min values: 4.8494e-07, max values: 45.005, median values: 0.17702, and quantile values: 0.25 0.044421\n0.50 0.177020\n0.75 0.660945\nName: 874, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.45085667365283, std values: 5.10647921266495, min values: 4.0447e-06, max values: 41.154, median values: 0.22114, and quantile values: 0.25 0.059968\n0.50 0.221140\n0.75 0.743535\nName: 875, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.333523287122893, std values: 5.147454588228184, min values: 8.4794e-07, max values: 45.588, median values: 0.15094, and quantile values: 0.25 0.052038\n0.50 0.150940\n0.75 0.679005\nName: 876, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5261493253706917, std values: 5.055786189373684, min values: 4.7694e-07, max values: 42.544, median values: 0.23991, and quantile values: 0.25 0.057105\n0.50 0.239910\n0.75 0.842720\nName: 877, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2697644761338993, std values: 4.519568911526102, min values: 7.6569e-07, max values: 38.758, median values: 0.17078, and quantile values: 0.25 0.053974\n0.50 0.170780\n0.75 0.710135\nName: 878, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5881513990301885, std values: 4.990354458836489, min values: 4.0292e-06, max values: 39.811, median values: 0.26913, and quantile values: 0.25 0.079488\n0.50 0.269130\n0.75 0.996965\nName: 879, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4527042182493082, std values: 4.963485167838693, min values: 5.4614e-07, max values: 41.519, median values: 0.18723, and quantile values: 0.25 0.059521\n0.50 0.187230\n0.75 0.866195\nName: 880, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5784727449369813, std values: 4.9688608996506085, min values: 7.1658e-07, max values: 39.708, median values: 0.24454, and quantile values: 0.25 0.074205\n0.50 0.244540\n0.75 1.021150\nName: 881, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3100479665074842, std values: 4.655926067255166, min values: 8.7139e-07, max values: 38.096, median values: 0.19228, and quantile values: 0.25 0.057134\n0.50 0.192280\n0.75 0.749200\nName: 882, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6922100875408808, std values: 5.158917335231802, min values: 4.7614e-06, max values: 39.952, median values: 0.28869, and quantile values: 0.25 0.08066\n0.50 0.28869\n0.75 1.13890\nName: 883, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5288951785597482, std values: 4.913683440763312, min values: 4.2937e-06, max values: 40.428, median values: 0.23922, and quantile values: 0.25 0.068135\n0.50 0.239220\n0.75 0.890115\nName: 884, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4176142846323083, std values: 4.96213095659879, min values: 6.4837e-08, max values: 41.829, median values: 0.19142, and quantile values: 0.25 0.056077\n0.50 0.191420\n0.75 0.845920\nName: 885, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2820563961019498, std values: 4.7902771132625865, min values: 6.3401e-07, max values: 38.549, median values: 0.1673, and quantile values: 0.25 0.051342\n0.50 0.167300\n0.75 0.701615\nName: 886, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.462458316671698, std values: 4.792473568948056, min values: 1.3236e-06, max values: 38.27, median values: 0.22107, and quantile values: 0.25 0.065129\n0.50 0.221070\n0.75 0.894090\nName: 887, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4265795310383647, std values: 4.780147813181325, min values: 1.5306e-06, max values: 38.882, median values: 0.23092, and quantile values: 0.25 0.059803\n0.50 0.230920\n0.75 0.860250\nName: 888, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.607544661174214, std values: 5.127122343938936, min values: 4.2078e-06, max values: 40.865, median values: 0.26146, and quantile values: 0.25 0.074266\n0.50 0.261460\n0.75 0.976845\nName: 889, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.335776252789308, std values: 4.746763765166887, min values: 1.9421e-06, max values: 39.103, median values: 0.20163, and quantile values: 0.25 0.054625\n0.50 0.201630\n0.75 0.725255\nName: 890, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4591451370926414, std values: 4.999156271316842, min values: 9.9263e-07, max values: 41.593, median values: 0.21483, and quantile values: 0.25 0.069692\n0.50 0.214830\n0.75 0.900815\nName: 891, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4997446850075473, std values: 4.881685208308305, min values: 2.7663e-06, max values: 39.568, median values: 0.26108, and quantile values: 0.25 0.068101\n0.50 0.261080\n0.75 0.912565\nName: 892, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.46166395405283, std values: 4.934521963132677, min values: 1.9328e-06, max values: 39.614, median values: 0.1909, and quantile values: 0.25 0.05751\n0.50 0.19090\n0.75 0.84719\nName: 893, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5037963892591195, std values: 5.061411773361586, min values: 5.6121e-06, max values: 40.873, median values: 0.21331, and quantile values: 0.25 0.064805\n0.50 0.213310\n0.75 0.804405\nName: 894, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.322249116896855, std values: 4.8178706185903515, min values: 6.259e-07, max values: 38.972, median values: 0.16785, and quantile values: 0.25 0.045088\n0.50 0.167850\n0.75 0.768135\nName: 895, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5988883050289309, std values: 4.8095808603917, min values: 1.1972e-06, max values: 38.241, median values: 0.24767, and quantile values: 0.25 0.069572\n0.50 0.247670\n0.75 1.108400\nName: 896, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4603100772435598, std values: 4.8440178355885655, min values: 2.6706e-08, max values: 39.414, median values: 0.20723, and quantile values: 0.25 0.049225\n0.50 0.207230\n0.75 0.846235\nName: 897, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5423190320509435, std values: 5.239402852913903, min values: 1.0496e-06, max values: 45.176, median values: 0.22143, and quantile values: 0.25 0.059340\n0.50 0.221430\n0.75 0.937985\nName: 898, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6944791606596226, std values: 5.029425143231408, min values: 8.3088e-07, max values: 39.927, median values: 0.30591, and quantile values: 0.25 0.078647\n0.50 0.305910\n0.75 1.228550\nName: 899, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6009660485981132, std values: 5.297562944546067, min values: 1.4879e-06, max values: 46.431, median values: 0.22727, and quantile values: 0.25 0.069459\n0.50 0.227270\n0.75 1.005580\nName: 900, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5908449904864341, std values: 4.929263539840372, min values: 1.9043e-08, max values: 40.069, median values: 0.25003, and quantile values: 0.25 0.062377\n0.50 0.250030\n0.75 0.984655\nName: 901, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4387872030974842, std values: 4.59488790816669, min values: 1.5802e-06, max values: 37.37, median values: 0.22386, and quantile values: 0.25 0.073894\n0.50 0.223860\n0.75 0.937745\nName: 902, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5678928593062893, std values: 4.946622189804195, min values: 6.2e-07, max values: 40.264, median values: 0.24808, and quantile values: 0.25 0.061851\n0.50 0.248080\n0.75 1.025000\nName: 903, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.534323143336478, std values: 4.8496070020103454, min values: 2.6575e-06, max values: 39.855, median values: 0.24125, and quantile values: 0.25 0.072358\n0.50 0.241250\n0.75 0.954030\nName: 904, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6740748703501318, std values: 5.010961191680714, min values: 3.2671e-08, max values: 41.486, median values: 0.28428, and quantile values: 0.25 0.057577\n0.50 0.284280\n0.75 1.101750\nName: 905, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3388780198926038, std values: 4.7315033137242555, min values: 2.5744e-08, max values: 38.91, median values: 0.19365, and quantile values: 0.25 0.044861\n0.50 0.193650\n0.75 0.724490\nName: 906, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4279714370283019, std values: 4.730228175598712, min values: 1.1213e-06, max values: 39.039, median values: 0.21383, and quantile values: 0.25 0.061186\n0.50 0.213830\n0.75 0.891310\nName: 907, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2538388619069811, std values: 4.817308606723912, min values: 2.4141e-07, max values: 39.247, median values: 0.13522, and quantile values: 0.25 0.042241\n0.50 0.135220\n0.75 0.654995\nName: 908, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5583889019555344, std values: 4.76187603272323, min values: 3.3533e-07, max values: 37.573, median values: 0.25079, and quantile values: 0.25 0.064201\n0.50 0.250790\n0.75 1.071000\nName: 909, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.449342105601937, std values: 4.992052173177383, min values: 1.9308e-08, max values: 42.016, median values: 0.18472, and quantile values: 0.25 0.049681\n0.50 0.184720\n0.75 0.778365\nName: 910, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3101173697232706, std values: 4.751719251229717, min values: 1.1628e-06, max values: 38.42, median values: 0.17095, and quantile values: 0.25 0.052855\n0.50 0.170950\n0.75 0.711525\nName: 911, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.362621607363522, std values: 4.784663881778822, min values: 1.7885e-06, max values: 39.147, median values: 0.21204, and quantile values: 0.25 0.069075\n0.50 0.212040\n0.75 0.752575\nName: 912, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2261877967608175, std values: 4.656027260399003, min values: 5.4021e-07, max values: 37.268, median values: 0.11561, and quantile values: 0.25 0.033822\n0.50 0.115610\n0.75 0.587355\nName: 913, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3634969539318236, std values: 4.6373028226042905, min values: 2.9406e-07, max values: 38.269, median values: 0.17865, and quantile values: 0.25 0.050605\n0.50 0.178650\n0.75 0.858465\nName: 914, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3772860055814464, std values: 4.888545396613413, min values: 8.5835e-07, max values: 40.375, median values: 0.19303, and quantile values: 0.25 0.056196\n0.50 0.193030\n0.75 0.809210\nName: 915, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5738605383566666, std values: 4.731578991637777, min values: 1.6701e-07, max values: 37.848, median values: 0.24631, and quantile values: 0.25 0.062957\n0.50 0.246310\n0.75 1.139000\nName: 916, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.643468290518239, std values: 4.956906549744884, min values: 1.6393e-06, max values: 38.711, median values: 0.27277, and quantile values: 0.25 0.078488\n0.50 0.272770\n0.75 1.085350\nName: 917, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5743298033672954, std values: 4.9600745507924895, min values: 2.5958e-06, max values: 39.334, median values: 0.2485, and quantile values: 0.25 0.072363\n0.50 0.248500\n0.75 1.099350\nName: 918, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3949094030125786, std values: 4.882006108605555, min values: 2.749e-07, max values: 40.197, median values: 0.21525, and quantile values: 0.25 0.051978\n0.50 0.215250\n0.75 0.756205\nName: 919, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5214157489031446, std values: 4.7645386852775005, min values: 3.1214e-06, max values: 39.473, median values: 0.23078, and quantile values: 0.25 0.071647\n0.50 0.230780\n0.75 0.961830\nName: 920, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4081224434345914, std values: 4.814575882712024, min values: 1.9284e-06, max values: 39.696, median values: 0.22076, and quantile values: 0.25 0.055334\n0.50 0.220760\n0.75 0.820530\nName: 921, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.485896216845283, std values: 4.853532884068535, min values: 1.3472e-06, max values: 38.573, median values: 0.23942, and quantile values: 0.25 0.06242\n0.50 0.23942\n0.75 0.93377\nName: 922, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8899031901792454, std values: 5.165406825079457, min values: 3.2599e-06, max values: 39.15, median values: 0.34687, and quantile values: 0.25 0.103105\n0.50 0.346870\n0.75 1.320600\nName: 923, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5093626651503145, std values: 5.051517415178388, min values: 1.9951e-06, max values: 40.754, median values: 0.21962, and quantile values: 0.25 0.060275\n0.50 0.219620\n0.75 0.921480\nName: 924, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.604150384914522, std values: 4.962541543769115, min values: 2.9559e-08, max values: 40.824, median values: 0.23173, and quantile values: 0.25 0.057411\n0.50 0.231730\n0.75 1.112400\nName: 925, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6032425455106916, std values: 5.156235243162088, min values: 1.0883e-06, max values: 43.965, median values: 0.26479, and quantile values: 0.25 0.067975\n0.50 0.264790\n0.75 1.106850\nName: 926, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3433856326213836, std values: 4.811650014110586, min values: 1.5984e-06, max values: 38.441, median values: 0.17727, and quantile values: 0.25 0.053449\n0.50 0.177270\n0.75 0.717775\nName: 927, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6650701356389939, std values: 4.995024136870009, min values: 2.871e-06, max values: 40.135, median values: 0.26632, and quantile values: 0.25 0.078418\n0.50 0.266320\n0.75 1.099000\nName: 928, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6721472616544593, std values: 4.99780816785334, min values: 3.0479e-08, max values: 40.666, median values: 0.24895, and quantile values: 0.25 0.064142\n0.50 0.248950\n0.75 1.162600\nName: 929, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1706300230632705, std values: 4.582906061709929, min values: 6.4436e-07, max values: 37.53, median values: 0.12983, and quantile values: 0.25 0.036660\n0.50 0.129830\n0.75 0.519465\nName: 930, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2893447929333333, std values: 4.677878371254328, min values: 2.7794e-06, max values: 40.001, median values: 0.17827, and quantile values: 0.25 0.051991\n0.50 0.178270\n0.75 0.699015\nName: 931, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4943701384641508, std values: 5.095781893180118, min values: 1.7136e-06, max values: 43.135, median values: 0.24657, and quantile values: 0.25 0.078796\n0.50 0.246570\n0.75 0.841505\nName: 932, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.621417870590566, std values: 5.172609857983516, min values: 3.897e-07, max values: 44.422, median values: 0.24627, and quantile values: 0.25 0.062352\n0.50 0.246270\n0.75 1.011300\nName: 933, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3564955725283019, std values: 4.982391033171356, min values: 1.0352e-06, max values: 42.014, median values: 0.15715, and quantile values: 0.25 0.049076\n0.50 0.157150\n0.75 0.745960\nName: 934, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3773640455893084, std values: 4.669861708202439, min values: 1.269e-06, max values: 38.959, median values: 0.1933, and quantile values: 0.25 0.058224\n0.50 0.193300\n0.75 0.834080\nName: 935, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5096450680753144, std values: 4.777329951112535, min values: 2.9125e-08, max values: 37.579, median values: 0.20606, and quantile values: 0.25 0.053418\n0.50 0.206060\n0.75 0.986880\nName: 936, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6395185935445662, std values: 4.94945918884297, min values: 2.1086e-08, max values: 38.891, median values: 0.27319, and quantile values: 0.25 0.065787\n0.50 0.273190\n0.75 1.171150\nName: 937, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5200071221754716, std values: 4.947763177159085, min values: 1.6725e-06, max values: 40.058, median values: 0.26826, and quantile values: 0.25 0.074366\n0.50 0.268260\n0.75 0.937195\nName: 938, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.0215957822610062, std values: 5.343717163323482, min values: 2.9957e-06, max values: 39.982, median values: 0.38221, and quantile values: 0.25 0.092747\n0.50 0.382210\n0.75 1.359050\nName: 939, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.412785202488679, std values: 4.993469153246956, min values: 1.0207e-06, max values: 42.438, median values: 0.19819, and quantile values: 0.25 0.060385\n0.50 0.198190\n0.75 0.785585\nName: 940, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5986216954056602, std values: 4.967618851874229, min values: 2.0711e-06, max values: 39.836, median values: 0.25489, and quantile values: 0.25 0.077212\n0.50 0.254890\n0.75 1.022455\nName: 941, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.572011890172201, std values: 5.008130881698818, min values: 1.3418e-07, max values: 41.741, median values: 0.25477, and quantile values: 0.25 0.055198\n0.50 0.254770\n0.75 0.964335\nName: 942, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6503467559477991, std values: 5.189549095459025, min values: 4.5103e-06, max values: 40.904, median values: 0.27641, and quantile values: 0.25 0.087439\n0.50 0.276410\n0.75 0.955120\nName: 943, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5155013956874215, std values: 4.9972844394262275, min values: 5.846e-07, max values: 41.252, median values: 0.20869, and quantile values: 0.25 0.055586\n0.50 0.208690\n0.75 0.885440\nName: 944, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7117449247779875, std values: 5.006789346567355, min values: 4.6718e-06, max values: 39.496, median values: 0.29563, and quantile values: 0.25 0.096612\n0.50 0.295630\n0.75 1.157650\nName: 945, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5043768357415095, std values: 4.893009437351474, min values: 2.462e-06, max values: 39.014, median values: 0.24755, and quantile values: 0.25 0.068392\n0.50 0.247550\n0.75 0.928460\nName: 946, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5869922730549686, std values: 4.793110419468782, min values: 7.2724e-07, max values: 37.938, median values: 0.27426, and quantile values: 0.25 0.075055\n0.50 0.274260\n0.75 1.014500\nName: 947, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8237606610245283, std values: 5.386597612467014, min values: 6.2929e-06, max values: 42.115, median values: 0.31205, and quantile values: 0.25 0.092238\n0.50 0.312050\n0.75 1.155300\nName: 948, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.520078380155975, std values: 4.8495174011281375, min values: 1.6508e-06, max values: 38.667, median values: 0.24115, and quantile values: 0.25 0.061635\n0.50 0.241150\n0.75 0.911660\nName: 949, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5076843451886794, std values: 5.053668711640178, min values: 9.721e-07, max values: 42.084, median values: 0.22619, and quantile values: 0.25 0.068619\n0.50 0.226190\n0.75 0.896330\nName: 950, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.381178083108113, std values: 4.781294332196712, min values: 2.028e-08, max values: 38.792, median values: 0.15888, and quantile values: 0.25 0.036825\n0.50 0.158880\n0.75 0.765515\nName: 951, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2703697467291195, std values: 4.471465661902448, min values: 3.8663e-07, max values: 37.539, median values: 0.15583, and quantile values: 0.25 0.047647\n0.50 0.155830\n0.75 0.676360\nName: 952, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4084998353792453, std values: 4.783717754736463, min values: 5.504e-07, max values: 38.35, median values: 0.19612, and quantile values: 0.25 0.051740\n0.50 0.196120\n0.75 0.787725\nName: 953, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7890734148987422, std values: 5.336416844684637, min values: 3.8916e-06, max values: 43.535, median values: 0.30536, and quantile values: 0.25 0.084953\n0.50 0.305360\n0.75 1.204750\nName: 954, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4427904305094341, std values: 5.121046370831542, min values: 1.2384e-06, max values: 43.705, median values: 0.19296, and quantile values: 0.25 0.058638\n0.50 0.192960\n0.75 0.823365\nName: 955, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3999172578123142, std values: 4.654280037946204, min values: 5.7758e-08, max values: 37.199, median values: 0.18025, and quantile values: 0.25 0.048294\n0.50 0.180250\n0.75 0.807840\nName: 956, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3443188625924527, std values: 4.767057819490481, min values: 1.288e-06, max values: 38.887, median values: 0.17523, and quantile values: 0.25 0.055829\n0.50 0.175230\n0.75 0.794025\nName: 957, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1623890749219496, std values: 4.4254859159250755, min values: 9.6439e-07, max values: 38.707, median values: 0.14536, and quantile values: 0.25 0.042945\n0.50 0.145360\n0.75 0.572670\nName: 958, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9185754683031446, std values: 5.658605161979435, min values: 4.1701e-06, max values: 48.997, median values: 0.33986, and quantile values: 0.25 0.091721\n0.50 0.339860\n0.75 1.352650\nName: 959, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4661673568727673, std values: 4.79725899504731, min values: 2.969e-07, max values: 38.967, median values: 0.22217, and quantile values: 0.25 0.052177\n0.50 0.222170\n0.75 0.884135\nName: 960, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3862475599771067, std values: 4.9607019995348605, min values: 3.0693e-07, max values: 42.155, median values: 0.19903, and quantile values: 0.25 0.050353\n0.50 0.199030\n0.75 0.722685\nName: 961, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5479912928213837, std values: 5.074348999288065, min values: 1.2035e-06, max values: 41.773, median values: 0.22376, and quantile values: 0.25 0.059945\n0.50 0.223760\n0.75 0.902525\nName: 962, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4674006131943396, std values: 4.7556430034331, min values: 1.8667e-06, max values: 39.355, median values: 0.23831, and quantile values: 0.25 0.067645\n0.50 0.238310\n0.75 0.932535\nName: 963, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4373051636710692, std values: 4.859767275454438, min values: 1.9192e-06, max values: 39.569, median values: 0.21056, and quantile values: 0.25 0.057704\n0.50 0.210560\n0.75 0.957740\nName: 964, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6910949511805033, std values: 4.9540365445069, min values: 2.4404e-06, max values: 38.631, median values: 0.27054, and quantile values: 0.25 0.085457\n0.50 0.270540\n0.75 1.133850\nName: 965, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3362075750981133, std values: 4.724375215449819, min values: 1.7302e-06, max values: 39.265, median values: 0.18017, and quantile values: 0.25 0.058853\n0.50 0.180170\n0.75 0.731995\nName: 966, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6310881717918866, std values: 5.076231384453162, min values: 7.1251e-07, max values: 42.015, median values: 0.24947, and quantile values: 0.25 0.063215\n0.50 0.249470\n0.75 1.078000\nName: 967, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6040113530245281, std values: 5.320289120958061, min values: 3.5279e-06, max values: 44.262, median values: 0.22156, and quantile values: 0.25 0.071215\n0.50 0.221560\n0.75 0.963885\nName: 968, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.405761431822541, std values: 4.76049138184824, min values: 2.0684e-08, max values: 37.914, median values: 0.19619, and quantile values: 0.25 0.049618\n0.50 0.196190\n0.75 0.830680\nName: 969, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5767221950295596, std values: 5.2372027175972535, min values: 1.4575e-06, max values: 44.152, median values: 0.23578, and quantile values: 0.25 0.072198\n0.50 0.235780\n0.75 0.955285\nName: 970, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4407482776037734, std values: 5.110759293019165, min values: 1.4167e-06, max values: 43.515, median values: 0.20793, and quantile values: 0.25 0.063761\n0.50 0.207930\n0.75 0.778885\nName: 971, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8995477742012579, std values: 5.777089728430507, min values: 1.6322e-06, max values: 52.214, median values: 0.30911, and quantile values: 0.25 0.084535\n0.50 0.309110\n0.75 1.307350\nName: 972, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5037956766245284, std values: 5.128152942550077, min values: 2.513e-06, max values: 42.829, median values: 0.2227, and quantile values: 0.25 0.07003\n0.50 0.22270\n0.75 0.86521\nName: 973, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6335496648371068, std values: 4.9870051062861, min values: 1.4252e-06, max values: 39.211, median values: 0.26942, and quantile values: 0.25 0.074474\n0.50 0.269420\n0.75 0.981645\nName: 974, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7074736261962264, std values: 5.082297499644848, min values: 1.2507e-06, max values: 40.818, median values: 0.26984, and quantile values: 0.25 0.074956\n0.50 0.269840\n0.75 1.171100\nName: 975, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.367744881628931, std values: 4.778248255304195, min values: 1.1179e-06, max values: 38.447, median values: 0.15877, and quantile values: 0.25 0.051271\n0.50 0.158770\n0.75 0.728775\nName: 976, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6013480997069183, std values: 4.84321527144693, min values: 2.3443e-06, max values: 39.381, median values: 0.26518, and quantile values: 0.25 0.079964\n0.50 0.265180\n0.75 1.061450\nName: 977, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5188702491943398, std values: 4.804391572903964, min values: 1.1453e-06, max values: 38.262, median values: 0.25484, and quantile values: 0.25 0.072182\n0.50 0.254840\n0.75 0.962290\nName: 978, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6412935652710692, std values: 5.0883442380806345, min values: 2.8174e-06, max values: 40.667, median values: 0.26872, and quantile values: 0.25 0.081912\n0.50 0.268720\n0.75 1.089650\nName: 979, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.491044958545283, std values: 5.046651385624973, min values: 1.1305e-06, max values: 42.252, median values: 0.22526, and quantile values: 0.25 0.065323\n0.50 0.225260\n0.75 0.889425\nName: 980, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5254099441440252, std values: 5.061312137930956, min values: 2.7377e-06, max values: 40.401, median values: 0.21706, and quantile values: 0.25 0.063987\n0.50 0.217060\n0.75 0.921165\nName: 981, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3461566018954718, std values: 4.974025004380586, min values: 9.6668e-07, max values: 42.301, median values: 0.18051, and quantile values: 0.25 0.053163\n0.50 0.180510\n0.75 0.733495\nName: 982, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.524467222172956, std values: 4.883739831947365, min values: 2.0208e-06, max values: 38.845, median values: 0.25905, and quantile values: 0.25 0.067377\n0.50 0.259050\n0.75 1.017650\nName: 983, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2362901641445283, std values: 4.870081681338901, min values: 7.2918e-07, max values: 40.124, median values: 0.1374, and quantile values: 0.25 0.046705\n0.50 0.137400\n0.75 0.640250\nName: 984, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4176284139974213, std values: 4.665632499254555, min values: 7.0319e-07, max values: 37.301, median values: 0.21363, and quantile values: 0.25 0.058207\n0.50 0.213630\n0.75 0.869205\nName: 985, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8399852868000002, std values: 5.064223407247602, min values: 2.7958e-06, max values: 38.905, median values: 0.35159, and quantile values: 0.25 0.087764\n0.50 0.351590\n0.75 1.327250\nName: 986, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3171891585220126, std values: 4.694001733748739, min values: 1.435e-06, max values: 38.933, median values: 0.18033, and quantile values: 0.25 0.053816\n0.50 0.180330\n0.75 0.741810\nName: 987, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6784532067345912, std values: 5.102035868740149, min values: 2.2342e-06, max values: 39.897, median values: 0.28319, and quantile values: 0.25 0.067829\n0.50 0.283190\n0.75 1.170150\nName: 988, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4527240213238994, std values: 4.946764194860728, min values: 2.0751e-06, max values: 40.121, median values: 0.24651, and quantile values: 0.25 0.059167\n0.50 0.246510\n0.75 0.871665\nName: 989, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.345374084293396, std values: 4.706887642375696, min values: 2.7575e-07, max values: 37.405, median values: 0.15635, and quantile values: 0.25 0.041411\n0.50 0.156350\n0.75 0.746590\nName: 990, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4308614186909434, std values: 4.985360170798523, min values: 5.5046e-07, max values: 42.062, median values: 0.19438, and quantile values: 0.25 0.048452\n0.50 0.194380\n0.75 0.818030\nName: 991, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4222882875836478, std values: 4.829732036936661, min values: 1.0297e-06, max values: 38.46, median values: 0.21099, and quantile values: 0.25 0.056588\n0.50 0.210990\n0.75 0.886835\nName: 992, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8253102893383646, std values: 5.433496809873413, min values: 7.7008e-06, max values: 42.46, median values: 0.30814, and quantile values: 0.25 0.090851\n0.50 0.308140\n0.75 1.130650\nName: 993, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5143025110836477, std values: 4.86419239537709, min values: 1.8243e-06, max values: 39.878, median values: 0.24121, and quantile values: 0.25 0.064840\n0.50 0.241210\n0.75 0.940965\nName: 994, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6176114368798742, std values: 5.073326197502931, min values: 2.3225e-06, max values: 40.564, median values: 0.25354, and quantile values: 0.25 0.07296\n0.50 0.25354\n0.75 1.02875\nName: 995, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4703882248477989, std values: 4.871500909631696, min values: 2.3889e-06, max values: 39.456, median values: 0.21355, and quantile values: 0.25 0.061469\n0.50 0.213550\n0.75 0.909690\nName: 996, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2772433533591823, std values: 4.854939613324947, min values: 2.5669e-07, max values: 40.578, median values: 0.14403, and quantile values: 0.25 0.037249\n0.50 0.144030\n0.75 0.649860\nName: 997, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4407167870090567, std values: 4.848273496744505, min values: 9.6514e-07, max values: 38.723, median values: 0.23126, and quantile values: 0.25 0.063666\n0.50 0.231260\n0.75 0.852310\nName: 998, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5711629492503143, std values: 5.123900048793165, min values: 3.2716e-06, max values: 40.71, median values: 0.2482, and quantile values: 0.25 0.06611\n0.50 0.24820\n0.75 1.00480\nName: 999, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4707794043931446, std values: 4.7907171822563415, min values: 6.4801e-07, max values: 37.952, median values: 0.21745, and quantile values: 0.25 0.061254\n0.50 0.217450\n0.75 0.942610\nName: 1000, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4047555877018867, std values: 4.942353656076475, min values: 1.4999e-06, max values: 39.967, median values: 0.20832, and quantile values: 0.25 0.058699\n0.50 0.208320\n0.75 0.814290\nName: 1001, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3339297257509435, std values: 4.796452638669134, min values: 1.9658e-06, max values: 38.611, median values: 0.18405, and quantile values: 0.25 0.06209\n0.50 0.18405\n0.75 0.70416\nName: 1002, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1922758801186353, std values: 4.744909895482674, min values: 1.7673e-08, max values: 39.993, median values: 0.11101, and quantile values: 0.25 0.032116\n0.50 0.111010\n0.75 0.601120\nName: 1003, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4202489751113834, std values: 4.978847174281224, min values: 8.1651e-07, max values: 41.34, median values: 0.20516, and quantile values: 0.25 0.056458\n0.50 0.205160\n0.75 0.789845\nName: 1004, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4979800515735848, std values: 5.1047930889524356, min values: 4.1621e-06, max values: 40.913, median values: 0.24033, and quantile values: 0.25 0.069428\n0.50 0.240330\n0.75 0.835480\nName: 1005, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4764570928978618, std values: 5.072167754195385, min values: 5.6256e-07, max values: 43.887, median values: 0.19195, and quantile values: 0.25 0.051528\n0.50 0.191950\n0.75 0.859780\nName: 1006, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5124882742471695, std values: 4.821086267343018, min values: 3.2637e-06, max values: 39.556, median values: 0.26678, and quantile values: 0.25 0.075596\n0.50 0.266780\n0.75 0.933820\nName: 1007, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3824711098880507, std values: 4.760636817547208, min values: 1.0949e-06, max values: 38.744, median values: 0.19619, and quantile values: 0.25 0.051975\n0.50 0.196190\n0.75 0.808450\nName: 1008, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4249868034937108, std values: 4.8791606180238904, min values: 1.3205e-06, max values: 39.199, median values: 0.20327, and quantile values: 0.25 0.060674\n0.50 0.203270\n0.75 0.852505\nName: 1009, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4900041142606668, std values: 4.8746908151187185, min values: 9.9146e-08, max values: 40.16, median values: 0.25098, and quantile values: 0.25 0.062364\n0.50 0.250980\n0.75 0.958630\nName: 1010, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5003957455381132, std values: 4.873958011867018, min values: 3.5966e-07, max values: 38.791, median values: 0.21492, and quantile values: 0.25 0.05835\n0.50 0.21492\n0.75 0.89648\nName: 1011, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7203195932317799, std values: 5.19152730574383, min values: 2.8753e-08, max values: 43.641, median values: 0.26935, and quantile values: 0.25 0.069031\n0.50 0.269350\n0.75 1.194800\nName: 1012, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.611696382372956, std values: 4.847187425937347, min values: 2.744e-06, max values: 39.008, median values: 0.26052, and quantile values: 0.25 0.079926\n0.50 0.260520\n0.75 1.084550\nName: 1013, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3893397530923333, std values: 4.932073869702992, min values: 1.9381e-08, max values: 41.642, median values: 0.18927, and quantile values: 0.25 0.050413\n0.50 0.189270\n0.75 0.853610\nName: 1014, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.496626321061635, std values: 4.6874121435901515, min values: 1.0217e-06, max values: 38.888, median values: 0.22507, and quantile values: 0.25 0.061839\n0.50 0.225070\n0.75 0.989500\nName: 1015, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7571709786679246, std values: 5.245465746118925, min values: 2.5772e-06, max values: 42.33, median values: 0.30591, and quantile values: 0.25 0.083062\n0.50 0.305910\n0.75 1.230250\nName: 1016, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5010118836201887, std values: 4.783748068873919, min values: 2.7011e-07, max values: 37.782, median values: 0.25097, and quantile values: 0.25 0.068922\n0.50 0.250970\n0.75 0.996035\nName: 1017, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4055361218998743, std values: 4.669726953795993, min values: 5.3268e-07, max values: 37.287, median values: 0.2076, and quantile values: 0.25 0.063055\n0.50 0.207600\n0.75 0.853040\nName: 1018, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5428771564498742, std values: 4.882987037404391, min values: 6.3213e-07, max values: 38.791, median values: 0.25174, and quantile values: 0.25 0.060156\n0.50 0.251740\n0.75 0.952810\nName: 1019, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3779763978881197, std values: 4.633890007648034, min values: 9.6251e-08, max values: 36.657, median values: 0.22625, and quantile values: 0.25 0.061274\n0.50 0.226250\n0.75 0.811300\nName: 1020, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4258864025715725, std values: 4.693912338993588, min values: 5.4878e-07, max values: 37.582, median values: 0.21735, and quantile values: 0.25 0.059004\n0.50 0.217350\n0.75 0.865245\nName: 1021, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8417559852635221, std values: 5.193065257825429, min values: 3.2841e-06, max values: 39.779, median values: 0.30455, and quantile values: 0.25 0.088256\n0.50 0.304550\n0.75 1.270100\nName: 1022, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.265589103352201, std values: 4.759139889257655, min values: 1.5862e-06, max values: 39.157, median values: 0.14466, and quantile values: 0.25 0.035194\n0.50 0.144660\n0.75 0.606645\nName: 1023, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5654013473855346, std values: 5.144760521673014, min values: 1.7797e-06, max values: 42.794, median values: 0.23644, and quantile values: 0.25 0.061838\n0.50 0.236440\n0.75 0.955650\nName: 1024, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6708742367226415, std values: 5.066578273229046, min values: 1.8711e-06, max values: 40.38, median values: 0.26962, and quantile values: 0.25 0.077463\n0.50 0.269620\n0.75 1.198750\nName: 1025, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4886995020862137, std values: 4.851814625057661, min values: 3.2698e-08, max values: 39.755, median values: 0.23086, and quantile values: 0.25 0.045669\n0.50 0.230860\n0.75 0.900600\nName: 1026, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.429087611781698, std values: 4.805198131233822, min values: 2.2519e-07, max values: 38.446, median values: 0.17069, and quantile values: 0.25 0.045741\n0.50 0.170690\n0.75 0.809085\nName: 1027, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5381887972792454, std values: 5.1803883993617745, min values: 3.5145e-06, max values: 41.851, median values: 0.23926, and quantile values: 0.25 0.072162\n0.50 0.239260\n0.75 0.831910\nName: 1028, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.374563988852327, std values: 4.804244687661187, min values: 4.0792e-07, max values: 38.483, median values: 0.17849, and quantile values: 0.25 0.05362\n0.50 0.17849\n0.75 0.76397\nName: 1029, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4750906979710694, std values: 4.933867159428034, min values: 1.7787e-06, max values: 39.643, median values: 0.23989, and quantile values: 0.25 0.065144\n0.50 0.239890\n0.75 0.956965\nName: 1030, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6297230324227674, std values: 5.058098284739009, min values: 2.8972e-07, max values: 41.943, median values: 0.24628, and quantile values: 0.25 0.070228\n0.50 0.246280\n0.75 1.102100\nName: 1031, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.092163726388395, std values: 4.761616641741565, min values: 4.5258e-09, max values: 40.714, median values: 0.080448, and quantile values: 0.25 0.021606\n0.50 0.080448\n0.75 0.469575\nName: 1032, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4588909738761007, std values: 4.821072177235268, min values: 1.3313e-06, max values: 39.032, median values: 0.20979, and quantile values: 0.25 0.05848\n0.50 0.20979\n0.75 0.86418\nName: 1033, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5055977407754715, std values: 4.78471324799557, min values: 2.0666e-06, max values: 40.168, median values: 0.23434, and quantile values: 0.25 0.070977\n0.50 0.234340\n0.75 0.936980\nName: 1034, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.724544341944654, std values: 5.180942396315601, min values: 2.5269e-06, max values: 41.221, median values: 0.3049, and quantile values: 0.25 0.080312\n0.50 0.304900\n0.75 1.196050\nName: 1035, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6711229275690567, std values: 5.087382659130559, min values: 9.4698e-07, max values: 41.304, median values: 0.30347, and quantile values: 0.25 0.079648\n0.50 0.303470\n0.75 1.180100\nName: 1036, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4193976506798114, std values: 4.941597872344193, min values: 4.5039e-07, max values: 41.44, median values: 0.2078, and quantile values: 0.25 0.058436\n0.50 0.207800\n0.75 0.839880\nName: 1037, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4906372117711317, std values: 4.850894822706891, min values: 8.9291e-07, max values: 38.818, median values: 0.22105, and quantile values: 0.25 0.062228\n0.50 0.221050\n0.75 0.901040\nName: 1038, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5429840069798741, std values: 5.079256314904133, min values: 1.7461e-06, max values: 42.232, median values: 0.26471, and quantile values: 0.25 0.074158\n0.50 0.264710\n0.75 0.987810\nName: 1039, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7818386703943396, std values: 5.423208873675638, min values: 3.5576e-06, max values: 46.171, median values: 0.29219, and quantile values: 0.25 0.08600\n0.50 0.29219\n0.75 1.20695\nName: 1040, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2560193438284277, std values: 4.519993559513179, min values: 3.2522e-07, max values: 37.365, median values: 0.17224, and quantile values: 0.25 0.048702\n0.50 0.172240\n0.75 0.661375\nName: 1041, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3853329487930817, std values: 5.000222756764183, min values: 1.0709e-06, max values: 42.42, median values: 0.19726, and quantile values: 0.25 0.057061\n0.50 0.197260\n0.75 0.780715\nName: 1042, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4227676435578427, std values: 4.884463214569652, min values: 2.9497e-08, max values: 40.637, median values: 0.16719, and quantile values: 0.25 0.041586\n0.50 0.167190\n0.75 0.756830\nName: 1043, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5805721922157234, std values: 5.0565219696369175, min values: 1.6123e-06, max values: 41.395, median values: 0.2491, and quantile values: 0.25 0.075792\n0.50 0.249100\n0.75 1.000870\nName: 1044, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5703244062284907, std values: 4.860290092027968, min values: 9.8053e-07, max values: 38.418, median values: 0.27137, and quantile values: 0.25 0.078810\n0.50 0.271370\n0.75 1.027855\nName: 1045, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.350509254564654, std values: 4.842317987736678, min values: 5.6618e-07, max values: 40.474, median values: 0.17073, and quantile values: 0.25 0.055024\n0.50 0.170730\n0.75 0.764505\nName: 1046, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3287220632584906, std values: 4.698292177926472, min values: 1.5036e-06, max values: 38.879, median values: 0.16257, and quantile values: 0.25 0.045392\n0.50 0.162570\n0.75 0.733425\nName: 1047, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.567800280437736, std values: 4.988221957006943, min values: 1.2854e-06, max values: 40.434, median values: 0.25597, and quantile values: 0.25 0.072579\n0.50 0.255970\n0.75 0.996035\nName: 1048, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3982238086786165, std values: 4.866585600188841, min values: 3.1806e-06, max values: 40.284, median values: 0.20917, and quantile values: 0.25 0.064465\n0.50 0.209170\n0.75 0.744770\nName: 1049, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4815363490163522, std values: 5.119718175059899, min values: 2.0079e-06, max values: 42.988, median values: 0.19749, and quantile values: 0.25 0.059929\n0.50 0.197490\n0.75 0.876960\nName: 1050, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5472129061315094, std values: 4.877027423034095, min values: 1.0971e-07, max values: 38.552, median values: 0.25139, and quantile values: 0.25 0.063256\n0.50 0.251390\n0.75 0.972215\nName: 1051, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5427879118265408, std values: 4.9437587616429735, min values: 3.6524e-07, max values: 41.301, median values: 0.2155, and quantile values: 0.25 0.050028\n0.50 0.215500\n0.75 0.956720\nName: 1052, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8227661441742138, std values: 5.485211447811801, min values: 4.3656e-06, max values: 45.741, median values: 0.31971, and quantile values: 0.25 0.081055\n0.50 0.319710\n0.75 1.140500\nName: 1053, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4595000438515722, std values: 5.023922566342151, min values: 1.0942e-06, max values: 42.793, median values: 0.23813, and quantile values: 0.25 0.072748\n0.50 0.238130\n0.75 0.826085\nName: 1054, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5764473071666667, std values: 4.998906211454676, min values: 1.3644e-06, max values: 39.763, median values: 0.23055, and quantile values: 0.25 0.068531\n0.50 0.230550\n0.75 0.991925\nName: 1055, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5087685864477987, std values: 4.915138088136476, min values: 2.5518e-06, max values: 39.864, median values: 0.21784, and quantile values: 0.25 0.063169\n0.50 0.217840\n0.75 0.917590\nName: 1056, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4547094760893082, std values: 5.067932050877056, min values: 2.2038e-06, max values: 42.413, median values: 0.20801, and quantile values: 0.25 0.059494\n0.50 0.208010\n0.75 0.854615\nName: 1057, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5172498251641509, std values: 5.101367449655049, min values: 6.259e-07, max values: 41.171, median values: 0.2337, and quantile values: 0.25 0.061922\n0.50 0.233700\n0.75 0.900215\nName: 1058, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6084211387679244, std values: 5.146323607066828, min values: 1.492e-06, max values: 42.551, median values: 0.23569, and quantile values: 0.25 0.064683\n0.50 0.235690\n0.75 1.047850\nName: 1059, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3442361687969182, std values: 5.014035003146043, min values: 7.9531e-07, max values: 42.922, median values: 0.1681, and quantile values: 0.25 0.050293\n0.50 0.168100\n0.75 0.751520\nName: 1060, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5185602520261636, std values: 5.1734881228416505, min values: 8.6186e-07, max values: 44.398, median values: 0.20594, and quantile values: 0.25 0.060398\n0.50 0.205940\n0.75 0.888225\nName: 1061, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5437804135056603, std values: 5.0152947479794765, min values: 2.0421e-06, max values: 40.218, median values: 0.2326, and quantile values: 0.25 0.069012\n0.50 0.232600\n0.75 0.915895\nName: 1062, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5488880201018866, std values: 4.729602294258659, min values: 1.5322e-06, max values: 38.479, median values: 0.26025, and quantile values: 0.25 0.075709\n0.50 0.260250\n0.75 1.016125\nName: 1063, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3632408519779875, std values: 4.897138069923764, min values: 5.818e-07, max values: 41.213, median values: 0.18183, and quantile values: 0.25 0.053205\n0.50 0.181830\n0.75 0.697965\nName: 1064, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4904114741408803, std values: 5.471231808532316, min values: 2.5459e-06, max values: 48.863, median values: 0.20039, and quantile values: 0.25 0.061716\n0.50 0.200390\n0.75 0.798545\nName: 1065, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3635447616144654, std values: 5.100229027320905, min values: 1.7095e-06, max values: 43.0, median values: 0.19947, and quantile values: 0.25 0.055122\n0.50 0.199470\n0.75 0.707025\nName: 1066, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7248401636842767, std values: 5.091042273563522, min values: 6.1921e-06, max values: 40.356, median values: 0.29738, and quantile values: 0.25 0.080538\n0.50 0.297380\n0.75 1.069900\nName: 1067, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3611302393476414, std values: 4.617179216107118, min values: 2.8785e-08, max values: 36.824, median values: 0.20645, and quantile values: 0.25 0.047913\n0.50 0.206450\n0.75 0.806555\nName: 1068, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5767312254559747, std values: 4.95977215573474, min values: 1.2095e-06, max values: 39.257, median values: 0.2636, and quantile values: 0.25 0.071082\n0.50 0.263600\n0.75 1.083200\nName: 1069, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3448672551056602, std values: 4.88394091107666, min values: 1.8398e-06, max values: 39.658, median values: 0.20147, and quantile values: 0.25 0.062856\n0.50 0.201470\n0.75 0.734460\nName: 1070, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.479738779557107, std values: 4.966358176799231, min values: 2.934e-08, max values: 41.665, median values: 0.18897, and quantile values: 0.25 0.049833\n0.50 0.188970\n0.75 0.903270\nName: 1071, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4749805008163521, std values: 4.802012192953203, min values: 3.2177e-06, max values: 39.821, median values: 0.22208, and quantile values: 0.25 0.068532\n0.50 0.222080\n0.75 0.861275\nName: 1072, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5723366780949686, std values: 5.046026418615881, min values: 3.4153e-06, max values: 39.944, median values: 0.25452, and quantile values: 0.25 0.073356\n0.50 0.254520\n0.75 0.984015\nName: 1073, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5948874600358494, std values: 5.017332442856252, min values: 5.1444e-06, max values: 39.557, median values: 0.26344, and quantile values: 0.25 0.088081\n0.50 0.263440\n0.75 1.012500\nName: 1074, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.308501464878692, std values: 4.607064354939336, min values: 2.8342e-08, max values: 36.749, median values: 0.19774, and quantile values: 0.25 0.041397\n0.50 0.197740\n0.75 0.725050\nName: 1075, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4763949390537734, std values: 4.936690205671339, min values: 2.059e-07, max values: 41.531, median values: 0.23914, and quantile values: 0.25 0.053196\n0.50 0.239140\n0.75 0.855935\nName: 1076, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3488214866372956, std values: 4.766498775314884, min values: 5.9493e-07, max values: 38.531, median values: 0.19759, and quantile values: 0.25 0.05381\n0.50 0.19759\n0.75 0.71594\nName: 1077, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6256894266768556, std values: 4.998351658596037, min values: 2.282e-08, max values: 41.241, median values: 0.25023, and quantile values: 0.25 0.066553\n0.50 0.250230\n0.75 1.160800\nName: 1078, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5604136774805033, std values: 4.668874120833971, min values: 1.5082e-06, max values: 38.465, median values: 0.23762, and quantile values: 0.25 0.066986\n0.50 0.237620\n0.75 1.055900\nName: 1079, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3561378144320126, std values: 4.68208814313963, min values: 9.7489e-07, max values: 38.541, median values: 0.19776, and quantile values: 0.25 0.059575\n0.50 0.197760\n0.75 0.806835\nName: 1080, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7681390085572328, std values: 5.348976473091429, min values: 2.908e-06, max values: 43.655, median values: 0.30153, and quantile values: 0.25 0.078169\n0.50 0.301530\n0.75 1.184000\nName: 1081, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5137845649987423, std values: 4.863343909697616, min values: 1.4541e-06, max values: 39.176, median values: 0.25269, and quantile values: 0.25 0.067798\n0.50 0.252690\n0.75 0.899860\nName: 1082, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.619195928025157, std values: 5.060284773223124, min values: 1.6527e-06, max values: 40.171, median values: 0.25182, and quantile values: 0.25 0.069942\n0.50 0.251820\n0.75 1.085850\nName: 1083, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3145650347352202, std values: 4.799919237652353, min values: 1.7339e-06, max values: 39.94, median values: 0.18591, and quantile values: 0.25 0.056456\n0.50 0.185910\n0.75 0.784815\nName: 1084, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5528614777389937, std values: 5.1176580320650675, min values: 2.4924e-06, max values: 42.604, median values: 0.25495, and quantile values: 0.25 0.071665\n0.50 0.254950\n0.75 0.944665\nName: 1085, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6521797721031446, std values: 5.0798104270890985, min values: 1.4953e-06, max values: 41.345, median values: 0.28577, and quantile values: 0.25 0.076802\n0.50 0.285770\n0.75 1.104550\nName: 1086, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4549614112113207, std values: 5.071138818976605, min values: 1.7065e-06, max values: 41.561, median values: 0.2279, and quantile values: 0.25 0.064552\n0.50 0.227900\n0.75 0.803535\nName: 1087, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2661358690071067, std values: 4.498812541198181, min values: 1.066e-07, max values: 36.22, median values: 0.15897, and quantile values: 0.25 0.041934\n0.50 0.158970\n0.75 0.689470\nName: 1088, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3950358096301887, std values: 4.809307583722418, min values: 1.1476e-06, max values: 38.335, median values: 0.19037, and quantile values: 0.25 0.065029\n0.50 0.190370\n0.75 0.758540\nName: 1089, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4495989332150945, std values: 4.917441100549787, min values: 1.8318e-06, max values: 39.271, median values: 0.20851, and quantile values: 0.25 0.059401\n0.50 0.208510\n0.75 0.817240\nName: 1090, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5489507398037734, std values: 4.940681907879085, min values: 3.1609e-06, max values: 40.069, median values: 0.2353, and quantile values: 0.25 0.072553\n0.50 0.235300\n0.75 0.952285\nName: 1091, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5434405820672956, std values: 5.069774605404079, min values: 2.3193e-06, max values: 41.001, median values: 0.22754, and quantile values: 0.25 0.072327\n0.50 0.227540\n0.75 0.924940\nName: 1092, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5529386858279244, std values: 4.88845544831818, min values: 7.9934e-07, max values: 39.32, median values: 0.21065, and quantile values: 0.25 0.057936\n0.50 0.210650\n0.75 0.946145\nName: 1093, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5298899865037734, std values: 5.082421571812912, min values: 2.344e-06, max values: 39.645, median values: 0.23501, and quantile values: 0.25 0.06187\n0.50 0.23501\n0.75 0.87783\nName: 1094, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4627319294358492, std values: 4.949804445099968, min values: 1.8405e-06, max values: 39.484, median values: 0.23313, and quantile values: 0.25 0.063597\n0.50 0.233130\n0.75 0.887970\nName: 1095, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.510769811285723, std values: 4.97054407985439, min values: 5.1543e-07, max values: 39.875, median values: 0.21266, and quantile values: 0.25 0.052858\n0.50 0.212660\n0.75 0.934950\nName: 1096, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3343675676355347, std values: 4.85797482900421, min values: 1.8495e-07, max values: 40.667, median values: 0.18664, and quantile values: 0.25 0.051315\n0.50 0.186640\n0.75 0.703190\nName: 1097, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2267732001690568, std values: 4.598460003973693, min values: 2.186e-08, max values: 36.734, median values: 0.156, and quantile values: 0.25 0.045547\n0.50 0.156000\n0.75 0.650580\nName: 1098, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6045375413299372, std values: 5.267590142633081, min values: 8.5196e-07, max values: 46.312, median values: 0.25225, and quantile values: 0.25 0.071382\n0.50 0.252250\n0.75 1.000940\nName: 1099, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5498345248150942, std values: 4.674161133154312, min values: 1.879e-06, max values: 38.184, median values: 0.24759, and quantile values: 0.25 0.07277\n0.50 0.24759\n0.75 1.06640\nName: 1100, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5820889347484277, std values: 4.930115686236287, min values: 7.796e-07, max values: 39.688, median values: 0.25608, and quantile values: 0.25 0.07053\n0.50 0.25608\n0.75 1.04630\nName: 1101, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6437886166861635, std values: 4.980513104441125, min values: 4.7631e-06, max values: 39.881, median values: 0.26117, and quantile values: 0.25 0.084123\n0.50 0.261170\n0.75 1.057850\nName: 1102, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4807532707880502, std values: 4.958617926569507, min values: 2.4015e-06, max values: 39.79, median values: 0.24188, and quantile values: 0.25 0.067828\n0.50 0.241880\n0.75 0.880905\nName: 1103, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4801932676933334, std values: 5.031628629295299, min values: 9.8064e-07, max values: 42.119, median values: 0.19137, and quantile values: 0.25 0.056830\n0.50 0.191370\n0.75 0.901725\nName: 1104, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5344714843761005, std values: 4.920473869827081, min values: 2.3503e-06, max values: 39.576, median values: 0.24611, and quantile values: 0.25 0.065616\n0.50 0.246110\n0.75 0.928075\nName: 1105, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4482100235012452, std values: 4.86212002836518, min values: 9.6998e-08, max values: 39.116, median values: 0.20955, and quantile values: 0.25 0.051044\n0.50 0.209550\n0.75 0.885030\nName: 1106, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4608866506591824, std values: 5.11138834680849, min values: 2.3071e-07, max values: 44.201, median values: 0.20322, and quantile values: 0.25 0.048563\n0.50 0.203220\n0.75 0.868715\nName: 1107, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5826294411930817, std values: 5.044662113783537, min values: 5.9577e-06, max values: 40.537, median values: 0.25837, and quantile values: 0.25 0.079763\n0.50 0.258370\n0.75 0.969485\nName: 1108, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.749635326142767, std values: 5.038052551512396, min values: 2.6978e-06, max values: 39.612, median values: 0.31651, and quantile values: 0.25 0.082904\n0.50 0.316510\n0.75 1.198300\nName: 1109, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4319536972825029, std values: 4.630624605976866, min values: 1.8518e-08, max values: 36.276, median values: 0.17173, and quantile values: 0.25 0.030122\n0.50 0.171730\n0.75 0.804455\nName: 1110, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5534778281024086, std values: 4.766857523747541, min values: 2.3383e-08, max values: 37.136, median values: 0.22815, and quantile values: 0.25 0.066278\n0.50 0.228150\n0.75 1.028305\nName: 1111, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5689801873802516, std values: 5.039574978137201, min values: 6.5916e-07, max values: 41.913, median values: 0.24312, and quantile values: 0.25 0.069887\n0.50 0.243120\n0.75 0.932445\nName: 1112, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4963901858830817, std values: 4.855812774723024, min values: 4.2491e-07, max values: 39.329, median values: 0.20204, and quantile values: 0.25 0.062717\n0.50 0.202040\n0.75 0.891535\nName: 1113, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4872122505842769, std values: 5.107542833848191, min values: 3.0952e-06, max values: 42.126, median values: 0.21275, and quantile values: 0.25 0.070028\n0.50 0.212750\n0.75 0.838765\nName: 1114, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4762937232111761, std values: 4.796622820853, min values: 2.4807e-08, max values: 38.989, median values: 0.20486, and quantile values: 0.25 0.049517\n0.50 0.204860\n0.75 0.888460\nName: 1115, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5218085325750315, std values: 4.851722494798241, min values: 5.3703e-07, max values: 38.162, median values: 0.22813, and quantile values: 0.25 0.058118\n0.50 0.228130\n0.75 0.967165\nName: 1116, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6139044454534592, std values: 4.8891413557821455, min values: 3.9142e-06, max values: 39.415, median values: 0.27527, and quantile values: 0.25 0.083588\n0.50 0.275270\n0.75 1.062350\nName: 1117, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3096857923342138, std values: 4.623222456120458, min values: 2.9444e-07, max values: 37.653, median values: 0.17387, and quantile values: 0.25 0.048959\n0.50 0.173870\n0.75 0.703985\nName: 1118, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7286203570679248, std values: 5.199856663183753, min values: 4.2689e-06, max values: 40.939, median values: 0.30941, and quantile values: 0.25 0.081409\n0.50 0.309410\n0.75 1.092700\nName: 1119, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3486069967236478, std values: 4.805874268660653, min values: 5.7606e-07, max values: 38.642, median values: 0.18741, and quantile values: 0.25 0.049729\n0.50 0.187410\n0.75 0.715770\nName: 1120, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.527424663010503, std values: 5.056587473119259, min values: 3.4067e-07, max values: 42.746, median values: 0.22314, and quantile values: 0.25 0.059081\n0.50 0.223140\n0.75 1.000255\nName: 1121, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.519790534288679, std values: 4.960544679726217, min values: 3.9684e-06, max values: 40.303, median values: 0.2309, and quantile values: 0.25 0.065626\n0.50 0.230900\n0.75 0.902390\nName: 1122, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6279426640238994, std values: 5.340989480749945, min values: 5.5015e-06, max values: 43.599, median values: 0.21859, and quantile values: 0.25 0.074692\n0.50 0.218590\n0.75 0.961960\nName: 1123, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.349668201718239, std values: 4.558148770610207, min values: 3.878e-07, max values: 37.078, median values: 0.18234, and quantile values: 0.25 0.059612\n0.50 0.182340\n0.75 0.809060\nName: 1124, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6390732623974842, std values: 4.96664446172204, min values: 6.8262e-06, max values: 41.103, median values: 0.27282, and quantile values: 0.25 0.070815\n0.50 0.272820\n0.75 1.002735\nName: 1125, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4188191598287168, std values: 4.799738342623313, min values: 1.8426e-08, max values: 38.893, median values: 0.18577, and quantile values: 0.25 0.052639\n0.50 0.185770\n0.75 0.901720\nName: 1126, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4364386021871067, std values: 4.726272691091034, min values: 9.3055e-07, max values: 37.346, median values: 0.20845, and quantile values: 0.25 0.064982\n0.50 0.208450\n0.75 0.866210\nName: 1127, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3715499544410377, std values: 4.6349505588294635, min values: 2.8355e-08, max values: 36.498, median values: 0.20073, and quantile values: 0.25 0.045836\n0.50 0.200730\n0.75 0.776690\nName: 1128, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.504234300026981, std values: 4.9376367792145235, min values: 1.9029e-07, max values: 40.578, median values: 0.21817, and quantile values: 0.25 0.058865\n0.50 0.218170\n0.75 0.968465\nName: 1129, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3772475111840252, std values: 4.857421724740143, min values: 6.0284e-07, max values: 40.05, median values: 0.19964, and quantile values: 0.25 0.052961\n0.50 0.199640\n0.75 0.717325\nName: 1130, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.630807372074214, std values: 5.140753487910707, min values: 1.2581e-06, max values: 42.618, median values: 0.25805, and quantile values: 0.25 0.075893\n0.50 0.258050\n0.75 1.111150\nName: 1131, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3068685804519813, std values: 4.842422391920041, min values: 2.0785e-08, max values: 38.758, median values: 0.13974, and quantile values: 0.25 0.046474\n0.50 0.139740\n0.75 0.594965\nName: 1132, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.640453100603774, std values: 4.968558856181056, min values: 3.794e-06, max values: 40.124, median values: 0.28097, and quantile values: 0.25 0.083866\n0.50 0.280970\n0.75 0.987205\nName: 1133, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.63512784244044, std values: 5.052949936189443, min values: 9.1523e-07, max values: 41.015, median values: 0.29229, and quantile values: 0.25 0.072891\n0.50 0.292290\n0.75 1.089100\nName: 1134, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.630142145094969, std values: 4.902756938217178, min values: 3.1119e-06, max values: 39.584, median values: 0.28332, and quantile values: 0.25 0.091544\n0.50 0.283320\n0.75 1.052450\nName: 1135, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5275321961691826, std values: 4.75358995888717, min values: 1.6321e-06, max values: 38.139, median values: 0.25144, and quantile values: 0.25 0.073480\n0.50 0.251440\n0.75 0.976185\nName: 1136, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.557279901255346, std values: 4.789043351952514, min values: 2.87e-06, max values: 39.617, median values: 0.23197, and quantile values: 0.25 0.067734\n0.50 0.231970\n0.75 1.005800\nName: 1137, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5325819720081761, std values: 5.200730875261385, min values: 1.5217e-06, max values: 44.146, median values: 0.21644, and quantile values: 0.25 0.060053\n0.50 0.216440\n0.75 0.918475\nName: 1138, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3775444561228931, std values: 4.8313099610431856, min values: 5.9984e-07, max values: 39.167, median values: 0.19403, and quantile values: 0.25 0.056269\n0.50 0.194030\n0.75 0.811775\nName: 1139, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2453157473213836, std values: 4.5656742128943515, min values: 1.7627e-06, max values: 39.549, median values: 0.17073, and quantile values: 0.25 0.047730\n0.50 0.170730\n0.75 0.669545\nName: 1140, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5434896921773584, std values: 5.0008696087353455, min values: 1.0381e-06, max values: 40.783, median values: 0.23575, and quantile values: 0.25 0.074024\n0.50 0.235750\n0.75 0.942210\nName: 1141, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4810547783955974, std values: 5.034310310665539, min values: 2.6228e-06, max values: 40.569, median values: 0.20883, and quantile values: 0.25 0.062406\n0.50 0.208830\n0.75 0.853510\nName: 1142, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.748555381362264, std values: 5.188222294976145, min values: 7.5886e-06, max values: 40.696, median values: 0.32529, and quantile values: 0.25 0.081005\n0.50 0.325290\n0.75 1.113750\nName: 1143, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2666272185279246, std values: 4.664219730550385, min values: 7.4084e-07, max values: 38.07, median values: 0.16004, and quantile values: 0.25 0.052656\n0.50 0.160040\n0.75 0.703005\nName: 1144, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.379531471762893, std values: 4.723286886203676, min values: 1.3895e-06, max values: 39.361, median values: 0.1858, and quantile values: 0.25 0.058307\n0.50 0.185800\n0.75 0.805960\nName: 1145, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4586295779081762, std values: 4.943842183319097, min values: 1.9156e-06, max values: 39.493, median values: 0.21285, and quantile values: 0.25 0.05707\n0.50 0.21285\n0.75 0.88996\nName: 1146, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.711401714373585, std values: 5.094154886222627, min values: 3.6857e-06, max values: 39.915, median values: 0.28771, and quantile values: 0.25 0.085496\n0.50 0.287710\n0.75 1.161300\nName: 1147, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.516251993808805, std values: 4.99730306218383, min values: 5.0085e-06, max values: 39.981, median values: 0.25592, and quantile values: 0.25 0.075767\n0.50 0.255920\n0.75 0.860925\nName: 1148, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4282301079906918, std values: 5.007324312699205, min values: 4.8832e-07, max values: 42.863, median values: 0.18163, and quantile values: 0.25 0.059132\n0.50 0.181630\n0.75 0.806975\nName: 1149, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.200502428383019, std values: 4.68893058429789, min values: 1.1218e-06, max values: 39.728, median values: 0.15346, and quantile values: 0.25 0.042488\n0.50 0.153460\n0.75 0.601945\nName: 1150, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.573412957671698, std values: 5.194025272903242, min values: 6.0617e-06, max values: 41.459, median values: 0.24392, and quantile values: 0.25 0.079770\n0.50 0.243920\n0.75 0.897875\nName: 1151, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5194845492783648, std values: 4.9454744043062195, min values: 1.3696e-07, max values: 41.017, median values: 0.23001, and quantile values: 0.25 0.056424\n0.50 0.230010\n0.75 0.955530\nName: 1152, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5300822876666667, std values: 4.907380550936344, min values: 2.9331e-06, max values: 40.269, median values: 0.26167, and quantile values: 0.25 0.074149\n0.50 0.261670\n0.75 0.922345\nName: 1153, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.559036204959874, std values: 5.029933209958512, min values: 9.7952e-07, max values: 41.011, median values: 0.22124, and quantile values: 0.25 0.066822\n0.50 0.221240\n0.75 0.995050\nName: 1154, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4647417450930817, std values: 4.9890724002074105, min values: 3.2912e-06, max values: 40.223, median values: 0.20915, and quantile values: 0.25 0.067053\n0.50 0.209150\n0.75 0.855640\nName: 1155, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4917909764132893, std values: 4.87368949036525, min values: 3.1933e-08, max values: 40.381, median values: 0.25723, and quantile values: 0.25 0.056238\n0.50 0.257230\n0.75 0.949430\nName: 1156, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3686422158796856, std values: 4.843312878594289, min values: 8.4877e-07, max values: 38.862, median values: 0.1994, and quantile values: 0.25 0.056312\n0.50 0.199400\n0.75 0.787165\nName: 1157, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5087486037694968, std values: 4.914341216231067, min values: 1.7675e-07, max values: 39.779, median values: 0.21065, and quantile values: 0.25 0.055412\n0.50 0.210650\n0.75 0.922060\nName: 1158, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7066572439176102, std values: 5.2820334993488025, min values: 6.0833e-06, max values: 42.344, median values: 0.3016, and quantile values: 0.25 0.087471\n0.50 0.301600\n0.75 1.015350\nName: 1159, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.675152279262893, std values: 5.210328314117107, min values: 1.0094e-06, max values: 43.659, median values: 0.29824, and quantile values: 0.25 0.07419\n0.50 0.29824\n0.75 1.08020\nName: 1160, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4624379487345913, std values: 4.786388767473494, min values: 2.5786e-06, max values: 39.615, median values: 0.22417, and quantile values: 0.25 0.065959\n0.50 0.224170\n0.75 0.872175\nName: 1161, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5922828837257863, std values: 5.128713052229655, min values: 3.7909e-06, max values: 40.649, median values: 0.25902, and quantile values: 0.25 0.063214\n0.50 0.259020\n0.75 0.997310\nName: 1162, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5078080775955978, std values: 4.903874697689759, min values: 1.7139e-06, max values: 38.66, median values: 0.22049, and quantile values: 0.25 0.067404\n0.50 0.220490\n0.75 0.915155\nName: 1163, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4620788242679243, std values: 4.721419849529201, min values: 1.3143e-06, max values: 38.791, median values: 0.2218, and quantile values: 0.25 0.063725\n0.50 0.221800\n0.75 0.927640\nName: 1164, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6181329365408805, std values: 4.904420332443497, min values: 2.3904e-06, max values: 39.496, median values: 0.25067, and quantile values: 0.25 0.068713\n0.50 0.250670\n0.75 1.155850\nName: 1165, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.462998987073585, std values: 4.825501952277898, min values: 3.2756e-06, max values: 40.065, median values: 0.20875, and quantile values: 0.25 0.053581\n0.50 0.208750\n0.75 0.847765\nName: 1166, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5021858841327673, std values: 5.036578944110619, min values: 3.8551e-07, max values: 42.596, median values: 0.20854, and quantile values: 0.25 0.052275\n0.50 0.208540\n0.75 0.862530\nName: 1167, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4848737893823898, std values: 4.902385672266646, min values: 2.3102e-06, max values: 39.035, median values: 0.23155, and quantile values: 0.25 0.067746\n0.50 0.231550\n0.75 0.922925\nName: 1168, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4159072035808806, std values: 4.8198092843437035, min values: 4.7246e-07, max values: 38.65, median values: 0.20264, and quantile values: 0.25 0.057686\n0.50 0.202640\n0.75 0.895145\nName: 1169, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.494509419667296, std values: 4.7943986990957725, min values: 4.1494e-06, max values: 39.57, median values: 0.252, and quantile values: 0.25 0.076412\n0.50 0.252000\n0.75 0.836905\nName: 1170, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.212298231437736, std values: 4.568264729661645, min values: 1.6951e-06, max values: 38.748, median values: 0.15648, and quantile values: 0.25 0.048015\n0.50 0.156480\n0.75 0.627685\nName: 1171, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4784533665006037, std values: 4.701048674309537, min values: 1.9326e-08, max values: 36.786, median values: 0.21987, and quantile values: 0.25 0.055750\n0.50 0.219870\n0.75 0.985145\nName: 1172, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5823611133811324, std values: 4.952613475053716, min values: 2.5158e-06, max values: 39.117, median values: 0.28326, and quantile values: 0.25 0.081041\n0.50 0.283260\n0.75 1.021550\nName: 1173, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5620767280597485, std values: 5.024685814156177, min values: 3.3412e-06, max values: 40.814, median values: 0.25186, and quantile values: 0.25 0.072356\n0.50 0.251860\n0.75 0.981920\nName: 1174, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6819192614905663, std values: 5.280978798224959, min values: 1.2266e-06, max values: 45.471, median values: 0.28443, and quantile values: 0.25 0.072967\n0.50 0.284430\n0.75 1.143750\nName: 1175, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3214245151333333, std values: 4.923637211726431, min values: 2.3629e-06, max values: 40.8, median values: 0.17264, and quantile values: 0.25 0.055235\n0.50 0.172640\n0.75 0.602885\nName: 1176, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2692106461084276, std values: 4.9234745039840755, min values: 4.9574e-07, max values: 41.704, median values: 0.13952, and quantile values: 0.25 0.045644\n0.50 0.139520\n0.75 0.654985\nName: 1177, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.504644239299126, std values: 5.077919788368906, min values: 6.8051e-08, max values: 44.682, median values: 0.2442, and quantile values: 0.25 0.053209\n0.50 0.244200\n0.75 0.954635\nName: 1178, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7833008502943397, std values: 5.354729096999294, min values: 3.1757e-06, max values: 43.73, median values: 0.33422, and quantile values: 0.25 0.088028\n0.50 0.334220\n0.75 1.134850\nName: 1179, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6176496516961636, std values: 5.114971336033755, min values: 9.1839e-07, max values: 42.757, median values: 0.26705, and quantile values: 0.25 0.065271\n0.50 0.267050\n0.75 1.058970\nName: 1180, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2410571784974844, std values: 4.701824610124442, min values: 1.3819e-06, max values: 38.881, median values: 0.15152, and quantile values: 0.25 0.048741\n0.50 0.151520\n0.75 0.685825\nName: 1181, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3647775350213838, std values: 4.687018979044169, min values: 4.4496e-07, max values: 37.497, median values: 0.1943, and quantile values: 0.25 0.056561\n0.50 0.194300\n0.75 0.750710\nName: 1182, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.429438415966006, std values: 4.70929953349647, min values: 0.0, max values: 37.772, median values: 0.21199, and quantile values: 0.25 0.046742\n0.50 0.211990\n0.75 0.798900\nName: 1183, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8209413826666665, std values: 5.4384983753697, min values: 4.2085e-06, max values: 44.966, median values: 0.29204, and quantile values: 0.25 0.085889\n0.50 0.292040\n0.75 1.174600\nName: 1184, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.372634698844654, std values: 4.928259272705569, min values: 1.2997e-06, max values: 40.604, median values: 0.17616, and quantile values: 0.25 0.058821\n0.50 0.176160\n0.75 0.747400\nName: 1185, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6237925900522012, std values: 5.022729312283234, min values: 2.478e-07, max values: 41.572, median values: 0.30536, and quantile values: 0.25 0.071132\n0.50 0.305360\n0.75 1.135600\nName: 1186, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6802710067031448, std values: 5.149332822025001, min values: 3.6313e-06, max values: 40.684, median values: 0.26941, and quantile values: 0.25 0.078764\n0.50 0.269410\n0.75 1.071900\nName: 1187, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5354030569685533, std values: 5.008096297624735, min values: 2.7696e-06, max values: 40.596, median values: 0.25128, and quantile values: 0.25 0.079121\n0.50 0.251280\n0.75 0.911210\nName: 1188, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4107762002403772, std values: 5.076560763783132, min values: 1.5972e-07, max values: 43.955, median values: 0.177, and quantile values: 0.25 0.044316\n0.50 0.177000\n0.75 0.740325\nName: 1189, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4092950668298743, std values: 4.878364430248571, min values: 2.9735e-07, max values: 40.383, median values: 0.19837, and quantile values: 0.25 0.049301\n0.50 0.198370\n0.75 0.781250\nName: 1190, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5387411921817609, std values: 5.0163904347750705, min values: 2.3392e-06, max values: 40.179, median values: 0.25838, and quantile values: 0.25 0.070777\n0.50 0.258380\n0.75 0.924445\nName: 1191, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8333775361603772, std values: 5.261727356027494, min values: 7.7505e-06, max values: 41.093, median values: 0.29218, and quantile values: 0.25 0.08922\n0.50 0.29218\n0.75 1.12520\nName: 1192, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5887440087703144, std values: 5.05296663965374, min values: 6.8558e-07, max values: 42.328, median values: 0.25683, and quantile values: 0.25 0.073454\n0.50 0.256830\n0.75 1.053250\nName: 1193, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7251230836354718, std values: 5.104994547866745, min values: 1.3174e-07, max values: 42.302, median values: 0.29242, and quantile values: 0.25 0.073273\n0.50 0.292420\n0.75 1.206850\nName: 1194, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.487005194541006, std values: 5.04011286372209, min values: 2.9222e-07, max values: 43.379, median values: 0.21607, and quantile values: 0.25 0.051161\n0.50 0.216070\n0.75 0.880060\nName: 1195, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.56538604408239, std values: 4.9893208918698155, min values: 2.3323e-06, max values: 39.409, median values: 0.2447, and quantile values: 0.25 0.068282\n0.50 0.244700\n0.75 0.952650\nName: 1196, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.637371533828428, std values: 5.0341750157467615, min values: 5.5117e-07, max values: 42.056, median values: 0.21269, and quantile values: 0.25 0.056202\n0.50 0.212690\n0.75 0.986430\nName: 1197, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.384621318168994, std values: 4.843639738052298, min values: 3.3607e-07, max values: 40.001, median values: 0.19201, and quantile values: 0.25 0.052822\n0.50 0.192010\n0.75 0.753535\nName: 1198, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5207211870257862, std values: 4.977319091888222, min values: 2.3146e-06, max values: 40.043, median values: 0.26061, and quantile values: 0.25 0.064735\n0.50 0.260610\n0.75 0.914100\nName: 1199, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3635943846773584, std values: 4.810807964759119, min values: 3.0331e-06, max values: 40.271, median values: 0.19761, and quantile values: 0.25 0.061407\n0.50 0.197610\n0.75 0.751355\nName: 1200, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4989876501106918, std values: 4.943208014618444, min values: 1.4469e-06, max values: 39.594, median values: 0.2206, and quantile values: 0.25 0.069127\n0.50 0.220600\n0.75 0.906345\nName: 1201, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.679637874938868, std values: 5.034977552439454, min values: 4.123e-08, max values: 41.513, median values: 0.25551, and quantile values: 0.25 0.049554\n0.50 0.255510\n0.75 1.216600\nName: 1202, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3851455447220127, std values: 4.66087734148523, min values: 2.7079e-06, max values: 39.944, median values: 0.18555, and quantile values: 0.25 0.064755\n0.50 0.185550\n0.75 0.788475\nName: 1203, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4698133957509432, std values: 5.13874584337758, min values: 1.5376e-06, max values: 43.608, median values: 0.23467, and quantile values: 0.25 0.058667\n0.50 0.234670\n0.75 0.846830\nName: 1204, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4482314427415093, std values: 4.749943818743619, min values: 2.519e-06, max values: 39.766, median values: 0.25329, and quantile values: 0.25 0.072764\n0.50 0.253290\n0.75 0.876795\nName: 1205, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6354417930943395, std values: 5.097022923978144, min values: 1.6656e-06, max values: 41.943, median values: 0.30453, and quantile values: 0.25 0.081123\n0.50 0.304530\n0.75 1.062700\nName: 1206, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.530471508419497, std values: 4.977124650038585, min values: 2.4637e-06, max values: 39.417, median values: 0.27055, and quantile values: 0.25 0.074492\n0.50 0.270550\n0.75 0.956520\nName: 1207, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6601411185666666, std values: 5.115762888706516, min values: 2.5815e-06, max values: 41.571, median values: 0.28783, and quantile values: 0.25 0.073931\n0.50 0.287830\n0.75 1.118450\nName: 1208, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5261409830742136, std values: 5.083080468716226, min values: 1.5192e-06, max values: 41.684, median values: 0.22762, and quantile values: 0.25 0.066213\n0.50 0.227620\n0.75 0.952475\nName: 1209, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4753854576672956, std values: 4.81743094302865, min values: 2.1155e-06, max values: 39.589, median values: 0.21965, and quantile values: 0.25 0.06482\n0.50 0.21965\n0.75 0.86884\nName: 1210, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4555346036553143, std values: 4.901457529708831, min values: 3.5165e-08, max values: 41.041, median values: 0.19397, and quantile values: 0.25 0.050849\n0.50 0.193970\n0.75 0.928125\nName: 1211, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4670339013660376, std values: 5.140599064835728, min values: 2.1111e-06, max values: 43.108, median values: 0.21194, and quantile values: 0.25 0.058904\n0.50 0.211940\n0.75 0.839375\nName: 1212, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5357329667578616, std values: 5.13644985948186, min values: 5.4528e-06, max values: 41.347, median values: 0.22777, and quantile values: 0.25 0.073488\n0.50 0.227770\n0.75 0.838960\nName: 1213, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5493536171333335, std values: 5.142565176838657, min values: 1.9387e-06, max values: 43.377, median values: 0.23908, and quantile values: 0.25 0.063831\n0.50 0.239080\n0.75 0.940060\nName: 1214, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4730507096015721, std values: 4.912668635395669, min values: 1.768e-08, max values: 41.192, median values: 0.20355, and quantile values: 0.25 0.041331\n0.50 0.203550\n0.75 0.877800\nName: 1215, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5205868167904404, std values: 4.847220495169915, min values: 1.0423e-07, max values: 39.411, median values: 0.22839, and quantile values: 0.25 0.048480\n0.50 0.228390\n0.75 0.861625\nName: 1216, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.364882862935157, std values: 4.827462487442418, min values: 7.7939e-07, max values: 38.929, median values: 0.18588, and quantile values: 0.25 0.054465\n0.50 0.185880\n0.75 0.728130\nName: 1217, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4713040193216984, std values: 5.068634351658361, min values: 9.6385e-07, max values: 42.995, median values: 0.23013, and quantile values: 0.25 0.066216\n0.50 0.230130\n0.75 0.832120\nName: 1218, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2623498310763521, std values: 4.756147128397348, min values: 6.0064e-07, max values: 38.6, median values: 0.1412, and quantile values: 0.25 0.045171\n0.50 0.141200\n0.75 0.664765\nName: 1219, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.388925444983648, std values: 4.701442767112581, min values: 1.783e-06, max values: 39.153, median values: 0.21428, and quantile values: 0.25 0.060334\n0.50 0.214280\n0.75 0.831150\nName: 1220, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5147065854415094, std values: 4.986780912260789, min values: 2.0571e-06, max values: 39.683, median values: 0.24204, and quantile values: 0.25 0.060579\n0.50 0.242040\n0.75 0.921665\nName: 1221, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5778905295274845, std values: 4.905386699636614, min values: 5.3477e-07, max values: 39.178, median values: 0.21449, and quantile values: 0.25 0.061815\n0.50 0.214490\n0.75 0.982815\nName: 1222, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4803170967867922, std values: 5.037218679215816, min values: 1.3445e-06, max values: 42.269, median values: 0.22199, and quantile values: 0.25 0.067531\n0.50 0.221990\n0.75 0.813210\nName: 1223, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3444626158666668, std values: 4.835114127327807, min values: 8.014e-07, max values: 38.819, median values: 0.18907, and quantile values: 0.25 0.059301\n0.50 0.189070\n0.75 0.700090\nName: 1224, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5157190559974842, std values: 5.033986272558469, min values: 2.2746e-06, max values: 40.656, median values: 0.22191, and quantile values: 0.25 0.066001\n0.50 0.221910\n0.75 0.941225\nName: 1225, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5703684642666667, std values: 5.144184930178058, min values: 3.2179e-06, max values: 41.641, median values: 0.23876, and quantile values: 0.25 0.069853\n0.50 0.238760\n0.75 0.931190\nName: 1226, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3864903435754716, std values: 4.873441329683036, min values: 1.8722e-06, max values: 39.525, median values: 0.16322, and quantile values: 0.25 0.048485\n0.50 0.163220\n0.75 0.732645\nName: 1227, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4168235711496855, std values: 4.631497796667362, min values: 2.8734e-06, max values: 38.641, median values: 0.21857, and quantile values: 0.25 0.069561\n0.50 0.218570\n0.75 0.816435\nName: 1228, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5018666615810692, std values: 4.9335458008830635, min values: 6.3279e-07, max values: 40.745, median values: 0.22014, and quantile values: 0.25 0.062286\n0.50 0.220140\n0.75 0.922595\nName: 1229, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5377080285227673, std values: 4.972340352364016, min values: 2.4992e-07, max values: 40.512, median values: 0.24376, and quantile values: 0.25 0.057292\n0.50 0.243760\n0.75 1.006215\nName: 1230, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4148416595383646, std values: 5.0562589352189775, min values: 6.6861e-06, max values: 42.315, median values: 0.2, and quantile values: 0.25 0.054541\n0.50 0.200000\n0.75 0.691300\nName: 1231, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.0248048307968554, std values: 5.529256545020461, min values: 2.1277e-06, max values: 45.368, median values: 0.35839, and quantile values: 0.25 0.100783\n0.50 0.358390\n0.75 1.477800\nName: 1232, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.293335096711956, std values: 4.757207952692237, min values: 1.2686e-08, max values: 40.163, median values: 0.14445, and quantile values: 0.25 0.032769\n0.50 0.144450\n0.75 0.629155\nName: 1233, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2861927307733336, std values: 4.470469151987657, min values: 2.0762e-07, max values: 36.447, median values: 0.18776, and quantile values: 0.25 0.050148\n0.50 0.187760\n0.75 0.735460\nName: 1234, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5271176056773583, std values: 5.025747313533269, min values: 4.0341e-06, max values: 41.091, median values: 0.22137, and quantile values: 0.25 0.065269\n0.50 0.221370\n0.75 0.890815\nName: 1235, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6617307250421385, std values: 5.084085370308459, min values: 1.8165e-06, max values: 40.499, median values: 0.26149, and quantile values: 0.25 0.076107\n0.50 0.261490\n0.75 1.139550\nName: 1236, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4140228985066037, std values: 4.902587049019532, min values: 1.4815e-07, max values: 40.671, median values: 0.18102, and quantile values: 0.25 0.051215\n0.50 0.181020\n0.75 0.774670\nName: 1237, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5431808998518428, std values: 4.918328119219816, min values: 9.3343e-08, max values: 39.853, median values: 0.21411, and quantile values: 0.25 0.052900\n0.50 0.214110\n0.75 0.993115\nName: 1238, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3702408336748426, std values: 4.817527149283774, min values: 8.589e-07, max values: 39.606, median values: 0.19303, and quantile values: 0.25 0.057506\n0.50 0.193030\n0.75 0.816925\nName: 1239, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3701261405186163, std values: 4.793333982136832, min values: 8.3476e-07, max values: 38.547, median values: 0.19834, and quantile values: 0.25 0.055419\n0.50 0.198340\n0.75 0.751450\nName: 1240, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7081084191213207, std values: 5.100556208481903, min values: 4.9459e-07, max values: 42.024, median values: 0.2671, and quantile values: 0.25 0.065861\n0.50 0.267100\n0.75 1.092950\nName: 1241, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4904939706182387, std values: 4.903469095877727, min values: 1.596e-06, max values: 39.35, median values: 0.20903, and quantile values: 0.25 0.061282\n0.50 0.209030\n0.75 0.896735\nName: 1242, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5104756332773586, std values: 5.113997688215158, min values: 1.3482e-06, max values: 42.246, median values: 0.1942, and quantile values: 0.25 0.064002\n0.50 0.194200\n0.75 0.870395\nName: 1243, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4724734898847172, std values: 4.774754908312507, min values: 6.2357e-07, max values: 37.657, median values: 0.22823, and quantile values: 0.25 0.058620\n0.50 0.228230\n0.75 0.893255\nName: 1244, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4343786438155346, std values: 4.861772495272768, min values: 2.3467e-07, max values: 39.716, median values: 0.20634, and quantile values: 0.25 0.049255\n0.50 0.206340\n0.75 0.803855\nName: 1245, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4957982928919495, std values: 4.784237987055225, min values: 6.0092e-07, max values: 37.674, median values: 0.23481, and quantile values: 0.25 0.063242\n0.50 0.234810\n0.75 0.957520\nName: 1246, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.0754742561337107, std values: 4.465056100891295, min values: 2.9348e-07, max values: 35.969, median values: 0.081308, and quantile values: 0.25 0.022706\n0.50 0.081308\n0.75 0.434320\nName: 1247, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5106791664327044, std values: 4.862251484255223, min values: 1.5273e-06, max values: 39.128, median values: 0.22726, and quantile values: 0.25 0.070574\n0.50 0.227260\n0.75 1.018200\nName: 1248, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5510055386794968, std values: 4.948450109536884, min values: 6.0764e-07, max values: 40.111, median values: 0.23705, and quantile values: 0.25 0.065097\n0.50 0.237050\n0.75 0.991400\nName: 1249, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3729523946772955, std values: 4.94672041356898, min values: 5.0959e-07, max values: 41.952, median values: 0.16413, and quantile values: 0.25 0.038475\n0.50 0.164130\n0.75 0.701015\nName: 1250, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2778509401120755, std values: 4.433834395688218, min values: 2.9242e-07, max values: 37.812, median values: 0.20798, and quantile values: 0.25 0.058217\n0.50 0.207980\n0.75 0.759420\nName: 1251, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5817330504088052, std values: 5.3092953420836055, min values: 3.8224e-06, max values: 44.985, median values: 0.24144, and quantile values: 0.25 0.073918\n0.50 0.241440\n0.75 0.853525\nName: 1252, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.465442122747233, std values: 5.081170139789277, min values: 7.4701e-07, max values: 42.679, median values: 0.20971, and quantile values: 0.25 0.058001\n0.50 0.209710\n0.75 0.915585\nName: 1253, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5022720330968553, std values: 4.995639829036938, min values: 2.8932e-06, max values: 40.106, median values: 0.21944, and quantile values: 0.25 0.062025\n0.50 0.219440\n0.75 0.876310\nName: 1254, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.645645391472327, std values: 5.087083226372376, min values: 1.8607e-06, max values: 41.012, median values: 0.27862, and quantile values: 0.25 0.077781\n0.50 0.278620\n0.75 1.125350\nName: 1255, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6502964008773584, std values: 4.876625261194108, min values: 1.0495e-06, max values: 38.535, median values: 0.32006, and quantile values: 0.25 0.077047\n0.50 0.320060\n0.75 1.164700\nName: 1256, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1919404445611321, std values: 4.540902356603003, min values: 2.018e-07, max values: 36.781, median values: 0.13727, and quantile values: 0.25 0.038478\n0.50 0.137270\n0.75 0.575235\nName: 1257, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4913051362582388, std values: 5.13776871479745, min values: 6.5166e-07, max values: 41.331, median values: 0.19567, and quantile values: 0.25 0.05007\n0.50 0.19567\n0.75 0.74934\nName: 1258, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5084011034082392, std values: 4.961626063504019, min values: 6.7081e-07, max values: 41.081, median values: 0.2598, and quantile values: 0.25 0.073801\n0.50 0.259800\n0.75 0.964610\nName: 1259, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.537061704546541, std values: 5.039593458756294, min values: 1.4094e-06, max values: 41.143, median values: 0.21935, and quantile values: 0.25 0.057707\n0.50 0.219350\n0.75 0.972880\nName: 1260, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7212844978446542, std values: 5.062705700059528, min values: 3.0736e-06, max values: 39.179, median values: 0.28797, and quantile values: 0.25 0.084898\n0.50 0.287970\n0.75 1.201650\nName: 1261, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5597754233648427, std values: 4.884454105184493, min values: 1.2091e-07, max values: 38.819, median values: 0.24725, and quantile values: 0.25 0.059551\n0.50 0.247250\n0.75 1.080100\nName: 1262, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.318494550821824, std values: 4.889350847936891, min values: 6.3147e-07, max values: 40.632, median values: 0.16299, and quantile values: 0.25 0.050286\n0.50 0.162990\n0.75 0.691555\nName: 1263, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3484078067962264, std values: 4.744373983504613, min values: 2.0895e-06, max values: 38.835, median values: 0.20293, and quantile values: 0.25 0.061905\n0.50 0.202930\n0.75 0.741640\nName: 1264, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.649600277082226, std values: 5.000875798113765, min values: 3.9944e-08, max values: 40.961, median values: 0.2431, and quantile values: 0.25 0.058616\n0.50 0.243100\n0.75 1.189450\nName: 1265, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3801016516320126, std values: 4.746857289228075, min values: 7.1279e-07, max values: 38.954, median values: 0.18541, and quantile values: 0.25 0.053861\n0.50 0.185410\n0.75 0.819225\nName: 1266, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.508655409583019, std values: 4.884296034252017, min values: 1.6182e-06, max values: 39.72, median values: 0.22316, and quantile values: 0.25 0.063347\n0.50 0.223160\n0.75 1.032350\nName: 1267, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2638473292239623, std values: 4.890260942608146, min values: 7.9911e-07, max values: 39.734, median values: 0.16081, and quantile values: 0.25 0.043439\n0.50 0.160810\n0.75 0.686670\nName: 1268, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4955558224968553, std values: 4.84377906257878, min values: 1.1892e-06, max values: 38.161, median values: 0.26785, and quantile values: 0.25 0.072404\n0.50 0.267850\n0.75 0.958925\nName: 1269, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6372424097691824, std values: 5.148488376334541, min values: 1.8722e-06, max values: 42.423, median values: 0.25875, and quantile values: 0.25 0.073621\n0.50 0.258750\n0.75 1.030800\nName: 1270, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2997167498725788, std values: 4.616497401015955, min values: 2.9864e-07, max values: 37.677, median values: 0.164, and quantile values: 0.25 0.045673\n0.50 0.164000\n0.75 0.742520\nName: 1271, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6263772364899372, std values: 5.309896078467626, min values: 6.4948e-06, max values: 42.479, median values: 0.26128, and quantile values: 0.25 0.084154\n0.50 0.261280\n0.75 0.910995\nName: 1272, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4044626634817607, std values: 4.648586285137623, min values: 3.854e-07, max values: 37.829, median values: 0.20185, and quantile values: 0.25 0.059041\n0.50 0.201850\n0.75 0.864260\nName: 1273, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.606022112935849, std values: 5.159523610493392, min values: 1.131e-06, max values: 43.593, median values: 0.27736, and quantile values: 0.25 0.068243\n0.50 0.277360\n0.75 1.057250\nName: 1274, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4271669750019493, std values: 4.8112661257295795, min values: 7.0601e-07, max values: 38.564, median values: 0.19223, and quantile values: 0.25 0.057546\n0.50 0.192230\n0.75 0.863020\nName: 1275, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5298333028986164, std values: 5.116286696751886, min values: 3.1708e-07, max values: 44.566, median values: 0.20865, and quantile values: 0.25 0.059238\n0.50 0.208650\n0.75 0.867780\nName: 1276, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4922186423880501, std values: 4.886196258058026, min values: 2.3674e-06, max values: 38.702, median values: 0.22826, and quantile values: 0.25 0.062753\n0.50 0.228260\n0.75 0.860610\nName: 1277, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5021101790151947, std values: 5.105173697666169, min values: 4.8656e-08, max values: 44.599, median values: 0.20479, and quantile values: 0.25 0.051892\n0.50 0.204790\n0.75 0.870550\nName: 1278, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.588001501471069, std values: 4.810505627668016, min values: 1.6275e-06, max values: 38.937, median values: 0.26944, and quantile values: 0.25 0.074317\n0.50 0.269440\n0.75 1.064950\nName: 1279, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7174946067698111, std values: 5.187434887610486, min values: 1.3616e-06, max values: 42.721, median values: 0.30617, and quantile values: 0.25 0.080126\n0.50 0.306170\n0.75 1.164850\nName: 1280, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5244268991869183, std values: 5.133150573122568, min values: 3.0232e-07, max values: 44.001, median values: 0.22056, and quantile values: 0.25 0.057623\n0.50 0.220560\n0.75 0.935145\nName: 1281, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3467714277534402, std values: 4.731854356961441, min values: 1.3427e-08, max values: 38.083, median values: 0.18422, and quantile values: 0.25 0.053107\n0.50 0.184220\n0.75 0.724620\nName: 1282, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.527248873318868, std values: 5.143043004548418, min values: 3.6468e-06, max values: 41.73, median values: 0.2496, and quantile values: 0.25 0.065954\n0.50 0.249600\n0.75 0.917845\nName: 1283, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6464077814094338, std values: 5.029568646546355, min values: 5.9741e-06, max values: 40.718, median values: 0.25849, and quantile values: 0.25 0.078884\n0.50 0.258490\n0.75 1.025600\nName: 1284, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8022795363308175, std values: 5.152009996578588, min values: 2.206e-06, max values: 39.772, median values: 0.28927, and quantile values: 0.25 0.075711\n0.50 0.289270\n0.75 1.317800\nName: 1285, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.361313612978931, std values: 4.744772847181511, min values: 1.0768e-07, max values: 38.021, median values: 0.18124, and quantile values: 0.25 0.046441\n0.50 0.181240\n0.75 0.736090\nName: 1286, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3431284830076102, std values: 5.001679357854828, min values: 4.1621e-07, max values: 42.799, median values: 0.18193, and quantile values: 0.25 0.050808\n0.50 0.181930\n0.75 0.749705\nName: 1287, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6408559119127986, std values: 5.303615313489241, min values: 2.8335e-08, max values: 46.649, median values: 0.22463, and quantile values: 0.25 0.063368\n0.50 0.224630\n0.75 1.011850\nName: 1288, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2902287341987422, std values: 4.538499690747376, min values: 1.9418e-06, max values: 38.865, median values: 0.20768, and quantile values: 0.25 0.056490\n0.50 0.207680\n0.75 0.767125\nName: 1289, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2916490690449058, std values: 4.6527305340669844, min values: 4.0794e-07, max values: 37.281, median values: 0.16857, and quantile values: 0.25 0.053842\n0.50 0.168570\n0.75 0.752310\nName: 1290, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4650827589232704, std values: 5.110418731300126, min values: 1.426e-06, max values: 43.251, median values: 0.2057, and quantile values: 0.25 0.055747\n0.50 0.205700\n0.75 0.780320\nName: 1291, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5753756150003146, std values: 4.951729833145233, min values: 8.9525e-07, max values: 40.225, median values: 0.28729, and quantile values: 0.25 0.072479\n0.50 0.287290\n0.75 1.027400\nName: 1292, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6640273255735851, std values: 5.115928704097372, min values: 2.5508e-06, max values: 41.136, median values: 0.27493, and quantile values: 0.25 0.077377\n0.50 0.274930\n0.75 1.155450\nName: 1293, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.385746199746541, std values: 4.8489088916554, min values: 1.81e-06, max values: 39.392, median values: 0.18046, and quantile values: 0.25 0.055573\n0.50 0.180460\n0.75 0.771275\nName: 1294, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4517736633509433, std values: 5.047898578224165, min values: 1.658e-06, max values: 42.472, median values: 0.21701, and quantile values: 0.25 0.060741\n0.50 0.217010\n0.75 0.832620\nName: 1295, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.515613102491195, std values: 4.945897080399905, min values: 1.0407e-06, max values: 40.086, median values: 0.22609, and quantile values: 0.25 0.065989\n0.50 0.226090\n0.75 0.963410\nName: 1296, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6496857433689935, std values: 4.921618691886344, min values: 8.6907e-07, max values: 38.276, median values: 0.26286, and quantile values: 0.25 0.06893\n0.50 0.26286\n0.75 1.12495\nName: 1297, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.698582236715157, std values: 4.816614042585984, min values: 9.3481e-07, max values: 38.127, median values: 0.28693, and quantile values: 0.25 0.085654\n0.50 0.286930\n0.75 1.146500\nName: 1298, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5936230298823901, std values: 5.027342145545777, min values: 0.0, max values: 40.991, median values: 0.27161, and quantile values: 0.25 0.066793\n0.50 0.271610\n0.75 0.998525\nName: 1299, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4134360581924528, std values: 4.66510868741579, min values: 0.0, max values: 39.21, median values: 0.21811, and quantile values: 0.25 0.057295\n0.50 0.218110\n0.75 0.904585\nName: 1300, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.516231708254717, std values: 4.981588061146839, min values: 1.7118e-06, max values: 40.338, median values: 0.22652, and quantile values: 0.25 0.061776\n0.50 0.226520\n0.75 0.841775\nName: 1301, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2824906535230187, std values: 4.656676661829587, min values: 4.2596e-07, max values: 37.686, median values: 0.15837, and quantile values: 0.25 0.043949\n0.50 0.158370\n0.75 0.662950\nName: 1302, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.527730888223585, std values: 4.816100647097712, min values: 3.6795e-07, max values: 38.301, median values: 0.22138, and quantile values: 0.25 0.056652\n0.50 0.221380\n0.75 0.942655\nName: 1303, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3282795017508804, std values: 4.669990382888464, min values: 2.2489e-07, max values: 37.432, median values: 0.17351, and quantile values: 0.25 0.048256\n0.50 0.173510\n0.75 0.683880\nName: 1304, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.516161568892453, std values: 5.038781179106157, min values: 1.1953e-06, max values: 41.575, median values: 0.23894, and quantile values: 0.25 0.064759\n0.50 0.238940\n0.75 0.908685\nName: 1305, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5412047466503145, std values: 5.1389046045639635, min values: 4.0646e-06, max values: 41.726, median values: 0.25906, and quantile values: 0.25 0.072775\n0.50 0.259060\n0.75 0.893990\nName: 1306, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5255201362008806, std values: 5.04567985329565, min values: 7.0384e-07, max values: 42.981, median values: 0.24799, and quantile values: 0.25 0.065087\n0.50 0.247990\n0.75 0.985435\nName: 1307, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4647683836779877, std values: 4.914784462917326, min values: 3.107e-06, max values: 39.48, median values: 0.22488, and quantile values: 0.25 0.057788\n0.50 0.224880\n0.75 0.830890\nName: 1308, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.300518689728805, std values: 4.653071048445145, min values: 5.9218e-07, max values: 37.508, median values: 0.15732, and quantile values: 0.25 0.040453\n0.50 0.157320\n0.75 0.711930\nName: 1309, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.694726171245912, std values: 4.967691268102302, min values: 7.6686e-06, max values: 40.728, median values: 0.28073, and quantile values: 0.25 0.084358\n0.50 0.280730\n0.75 1.046150\nName: 1310, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.525570890299371, std values: 4.7957445331966095, min values: 1.2489e-06, max values: 38.038, median values: 0.26415, and quantile values: 0.25 0.065799\n0.50 0.264150\n0.75 1.011835\nName: 1311, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.587631851127044, std values: 5.0671464977988, min values: 4.6864e-06, max values: 40.559, median values: 0.26273, and quantile values: 0.25 0.068352\n0.50 0.262730\n0.75 0.974795\nName: 1312, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6135873145081758, std values: 5.128600876117296, min values: 3.9901e-06, max values: 40.719, median values: 0.24995, and quantile values: 0.25 0.073877\n0.50 0.249950\n0.75 0.993145\nName: 1313, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4982497234100627, std values: 4.961969215314738, min values: 6.735e-07, max values: 41.32, median values: 0.23376, and quantile values: 0.25 0.064795\n0.50 0.233760\n0.75 0.936850\nName: 1314, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3593782848778617, std values: 5.102236787435964, min values: 5.3418e-07, max values: 45.216, median values: 0.16977, and quantile values: 0.25 0.054115\n0.50 0.169770\n0.75 0.717775\nName: 1315, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4052839927674654, std values: 4.7232976594839915, min values: 3.5497e-08, max values: 37.896, median values: 0.18112, and quantile values: 0.25 0.044368\n0.50 0.181120\n0.75 0.778480\nName: 1316, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.459904994925786, std values: 4.993047173367925, min values: 2.2003e-06, max values: 40.513, median values: 0.24113, and quantile values: 0.25 0.066359\n0.50 0.241130\n0.75 0.855770\nName: 1317, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.0368823224893085, std values: 5.943090600028549, min values: 3.6201e-06, max values: 53.277, median values: 0.38374, and quantile values: 0.25 0.099256\n0.50 0.383740\n0.75 1.471900\nName: 1318, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3652055906454716, std values: 4.933046914708131, min values: 3.3503e-07, max values: 41.312, median values: 0.18802, and quantile values: 0.25 0.049935\n0.50 0.188020\n0.75 0.699300\nName: 1319, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6855451505022643, std values: 5.099849521887885, min values: 6.4186e-07, max values: 41.565, median values: 0.26562, and quantile values: 0.25 0.069417\n0.50 0.265620\n0.75 1.115450\nName: 1320, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6916282648962262, std values: 5.215188923067955, min values: 6.7864e-06, max values: 41.117, median values: 0.27785, and quantile values: 0.25 0.074100\n0.50 0.277850\n0.75 0.957945\nName: 1321, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5130020410169813, std values: 5.337161991871134, min values: 1.5837e-06, max values: 47.214, median values: 0.21803, and quantile values: 0.25 0.057590\n0.50 0.218030\n0.75 0.882695\nName: 1322, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5477412536345911, std values: 4.943120298238767, min values: 1.4973e-06, max values: 39.662, median values: 0.24679, and quantile values: 0.25 0.071105\n0.50 0.246790\n0.75 0.976615\nName: 1323, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1850956934795598, std values: 4.971882807441951, min values: 7.3245e-07, max values: 41.686, median values: 0.12317, and quantile values: 0.25 0.039339\n0.50 0.123170\n0.75 0.457030\nName: 1324, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.640324502658239, std values: 4.914521814544452, min values: 1.3916e-07, max values: 38.665, median values: 0.25375, and quantile values: 0.25 0.072368\n0.50 0.253750\n0.75 1.148900\nName: 1325, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.52229993339, std values: 5.149834950827673, min values: 2.744e-08, max values: 45.274, median values: 0.22745, and quantile values: 0.25 0.050002\n0.50 0.227450\n0.75 1.001695\nName: 1326, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.338392259707107, std values: 4.6962564050216695, min values: 8.2493e-07, max values: 38.402, median values: 0.2182, and quantile values: 0.25 0.057169\n0.50 0.218200\n0.75 0.732810\nName: 1327, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4166627403861636, std values: 4.970565321355934, min values: 2.2691e-06, max values: 39.7, median values: 0.20208, and quantile values: 0.25 0.061418\n0.50 0.202080\n0.75 0.784575\nName: 1328, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2933396553157233, std values: 4.921683908299038, min values: 2.7964e-07, max values: 42.713, median values: 0.18508, and quantile values: 0.25 0.042721\n0.50 0.185080\n0.75 0.670900\nName: 1329, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4985728462220125, std values: 4.836101756394014, min values: 1.3296e-06, max values: 38.094, median values: 0.21605, and quantile values: 0.25 0.063459\n0.50 0.216050\n0.75 0.973225\nName: 1330, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6446070268012578, std values: 4.857225167488555, min values: 2.5438e-06, max values: 39.018, median values: 0.30306, and quantile values: 0.25 0.085046\n0.50 0.303060\n0.75 1.126500\nName: 1331, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3397447937572327, std values: 4.9106976210305655, min values: 2.4022e-06, max values: 40.146, median values: 0.199, and quantile values: 0.25 0.061068\n0.50 0.199000\n0.75 0.692375\nName: 1332, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4587151223484278, std values: 5.2203273029518575, min values: 3.5471e-06, max values: 43.451, median values: 0.2139, and quantile values: 0.25 0.065682\n0.50 0.213900\n0.75 0.807305\nName: 1333, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6747119767627674, std values: 5.180527524601195, min values: 9.1038e-07, max values: 43.533, median values: 0.27189, and quantile values: 0.25 0.076988\n0.50 0.271890\n0.75 1.121800\nName: 1334, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.415533984541384, std values: 4.70753068361047, min values: 2.658e-08, max values: 37.143, median values: 0.24346, and quantile values: 0.25 0.060623\n0.50 0.243460\n0.75 0.908275\nName: 1335, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4798983793644025, std values: 4.928458268933683, min values: 8.6604e-07, max values: 39.74, median values: 0.229, and quantile values: 0.25 0.060777\n0.50 0.229000\n0.75 0.853675\nName: 1336, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2111640836694655, std values: 4.513755120763662, min values: 1.3305e-08, max values: 36.916, median values: 0.12437, and quantile values: 0.25 0.036074\n0.50 0.124370\n0.75 0.600035\nName: 1337, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5523170079534592, std values: 5.066370667040216, min values: 1.4912e-06, max values: 41.909, median values: 0.22291, and quantile values: 0.25 0.073976\n0.50 0.222910\n0.75 0.923190\nName: 1338, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4699574231955976, std values: 4.812517418700494, min values: 1.4392e-06, max values: 38.064, median values: 0.22674, and quantile values: 0.25 0.066437\n0.50 0.226740\n0.75 0.881350\nName: 1339, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.587638488411195, std values: 4.861765252699714, min values: 5.8578e-07, max values: 38.073, median values: 0.25822, and quantile values: 0.25 0.065292\n0.50 0.258220\n0.75 1.013300\nName: 1340, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2521925197710693, std values: 4.641871575323278, min values: 2.2403e-06, max values: 38.451, median values: 0.18699, and quantile values: 0.25 0.054383\n0.50 0.186990\n0.75 0.606455\nName: 1341, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3693675537638994, std values: 5.06619237119661, min values: 1.6256e-07, max values: 44.803, median values: 0.18967, and quantile values: 0.25 0.04476\n0.50 0.18967\n0.75 0.72610\nName: 1342, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2670220297079875, std values: 4.768461263198439, min values: 7.6997e-07, max values: 38.599, median values: 0.1769, and quantile values: 0.25 0.048535\n0.50 0.176900\n0.75 0.652040\nName: 1343, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5865954854415094, std values: 4.8790199555864335, min values: 1.1388e-06, max values: 38.419, median values: 0.29955, and quantile values: 0.25 0.077938\n0.50 0.299550\n0.75 1.021350\nName: 1344, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2980808336406287, std values: 4.795545992510784, min values: 5.0226e-07, max values: 39.115, median values: 0.18489, and quantile values: 0.25 0.051955\n0.50 0.184890\n0.75 0.670115\nName: 1345, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4611110655474215, std values: 5.061314835457222, min values: 7.2604e-07, max values: 42.048, median values: 0.21329, and quantile values: 0.25 0.057092\n0.50 0.213290\n0.75 0.815180\nName: 1346, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3261504959190566, std values: 4.727557041782399, min values: 9.7963e-07, max values: 38.708, median values: 0.1642, and quantile values: 0.25 0.051334\n0.50 0.164200\n0.75 0.758270\nName: 1347, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3088723648700629, std values: 4.462782805024958, min values: 9.5254e-07, max values: 37.749, median values: 0.20523, and quantile values: 0.25 0.061870\n0.50 0.205230\n0.75 0.752505\nName: 1348, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.543876538288176, std values: 4.821641621936645, min values: 9.6902e-07, max values: 37.962, median values: 0.24838, and quantile values: 0.25 0.063012\n0.50 0.248380\n0.75 1.044165\nName: 1349, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2555777807415092, std values: 4.8014739580911066, min values: 1.5913e-06, max values: 39.33, median values: 0.1667, and quantile values: 0.25 0.049258\n0.50 0.166700\n0.75 0.616545\nName: 1350, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.651500213633333, std values: 5.279362584177808, min values: 7.033e-06, max values: 41.526, median values: 0.27149, and quantile values: 0.25 0.073241\n0.50 0.271490\n0.75 0.903150\nName: 1351, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6589081319886794, std values: 4.88725376985937, min values: 1.8059e-06, max values: 39.032, median values: 0.26721, and quantile values: 0.25 0.073624\n0.50 0.267210\n0.75 1.193350\nName: 1352, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4358483282142138, std values: 5.154356315716784, min values: 1.9437e-07, max values: 46.096, median values: 0.18277, and quantile values: 0.25 0.045871\n0.50 0.182770\n0.75 0.749275\nName: 1353, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4862430221339622, std values: 4.8585676438214405, min values: 3.3993e-06, max values: 39.956, median values: 0.21817, and quantile values: 0.25 0.07311\n0.50 0.21817\n0.75 0.89581\nName: 1354, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5461672788962262, std values: 4.933538114932283, min values: 1.9833e-06, max values: 39.288, median values: 0.24353, and quantile values: 0.25 0.076398\n0.50 0.243530\n0.75 0.970705\nName: 1355, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4629991203140755, std values: 4.91062950992679, min values: 2.3038e-08, max values: 40.281, median values: 0.20864, and quantile values: 0.25 0.056702\n0.50 0.208640\n0.75 0.794890\nName: 1356, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.572345965989937, std values: 4.887815674503863, min values: 1.7106e-06, max values: 38.63, median values: 0.25246, and quantile values: 0.25 0.06892\n0.50 0.25246\n0.75 1.06975\nName: 1357, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5185863271515725, std values: 4.8954630753913655, min values: 1.9399e-06, max values: 39.072, median values: 0.2236, and quantile values: 0.25 0.073299\n0.50 0.223600\n0.75 0.929715\nName: 1358, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.644661432964151, std values: 5.23479944904061, min values: 4.3261e-06, max values: 42.415, median values: 0.25319, and quantile values: 0.25 0.086141\n0.50 0.253190\n0.75 0.960540\nName: 1359, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.39082408915478, std values: 4.782805976008752, min values: 2.0581e-07, max values: 38.74, median values: 0.19996, and quantile values: 0.25 0.052153\n0.50 0.199960\n0.75 0.791790\nName: 1360, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3893143820339622, std values: 5.051508984651635, min values: 2.255e-06, max values: 42.247, median values: 0.19824, and quantile values: 0.25 0.061034\n0.50 0.198240\n0.75 0.740640\nName: 1361, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5909395672383648, std values: 4.965875217526031, min values: 2.0336e-06, max values: 39.049, median values: 0.26105, and quantile values: 0.25 0.076451\n0.50 0.261050\n0.75 1.028350\nName: 1362, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4143180503991821, std values: 5.091772994957394, min values: 5.1567e-07, max values: 44.741, median values: 0.20717, and quantile values: 0.25 0.059164\n0.50 0.207170\n0.75 0.760130\nName: 1363, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4058964619968553, std values: 4.787318989414458, min values: 1.2067e-06, max values: 39.617, median values: 0.2022, and quantile values: 0.25 0.055508\n0.50 0.202200\n0.75 0.878410\nName: 1364, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4285520666591194, std values: 4.779167179504279, min values: 1.985e-06, max values: 39.24, median values: 0.19934, and quantile values: 0.25 0.060439\n0.50 0.199340\n0.75 0.822695\nName: 1365, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3809288294125788, std values: 4.664201621000715, min values: 1.0385e-06, max values: 37.759, median values: 0.22269, and quantile values: 0.25 0.06641\n0.50 0.22269\n0.75 0.84224\nName: 1366, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4966554688383646, std values: 5.1535801704912325, min values: 1.9067e-06, max values: 43.602, median values: 0.24681, and quantile values: 0.25 0.061499\n0.50 0.246810\n0.75 0.921805\nName: 1367, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2242451552937106, std values: 5.152875743997396, min values: 1.9561e-06, max values: 44.388, median values: 0.13193, and quantile values: 0.25 0.041215\n0.50 0.131930\n0.75 0.485555\nName: 1368, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.494155300198698, std values: 5.120421557484418, min values: 1.7293e-08, max values: 44.412, median values: 0.20378, and quantile values: 0.25 0.051288\n0.50 0.203780\n0.75 0.954555\nName: 1369, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4081402496308177, std values: 4.807832022747846, min values: 2.4501e-06, max values: 39.383, median values: 0.21573, and quantile values: 0.25 0.054936\n0.50 0.215730\n0.75 0.908660\nName: 1370, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.556117140730503, std values: 5.02391982557464, min values: 3.2725e-07, max values: 42.028, median values: 0.21713, and quantile values: 0.25 0.064379\n0.50 0.217130\n0.75 0.931845\nName: 1371, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4879325071207548, std values: 5.138317295301433, min values: 4.056e-06, max values: 41.573, median values: 0.2247, and quantile values: 0.25 0.069783\n0.50 0.224700\n0.75 0.802860\nName: 1372, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4250569873389938, std values: 4.8720290403498785, min values: 2.0956e-06, max values: 40.038, median values: 0.21359, and quantile values: 0.25 0.053803\n0.50 0.213590\n0.75 0.881300\nName: 1373, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4061061859918238, std values: 4.940449982614653, min values: 3.8708e-06, max values: 41.519, median values: 0.19871, and quantile values: 0.25 0.052318\n0.50 0.198710\n0.75 0.666770\nName: 1374, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5423175073320756, std values: 4.953936797898712, min values: 5.0612e-06, max values: 41.208, median values: 0.25355, and quantile values: 0.25 0.065425\n0.50 0.253550\n0.75 0.841535\nName: 1375, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4742493635893081, std values: 4.971590787856192, min values: 2.7042e-06, max values: 40.097, median values: 0.25272, and quantile values: 0.25 0.070486\n0.50 0.252720\n0.75 0.857700\nName: 1376, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.373051110554088, std values: 4.672357882998694, min values: 1.9128e-06, max values: 38.787, median values: 0.19635, and quantile values: 0.25 0.062808\n0.50 0.196350\n0.75 0.790915\nName: 1377, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4944836674320756, std values: 4.881197561597574, min values: 2.3527e-06, max values: 39.414, median values: 0.2357, and quantile values: 0.25 0.06010\n0.50 0.23570\n0.75 0.91213\nName: 1378, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5078676255509436, std values: 5.000440013160717, min values: 2.9743e-06, max values: 40.747, median values: 0.23883, and quantile values: 0.25 0.068691\n0.50 0.238830\n0.75 0.911745\nName: 1379, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6390104034930817, std values: 5.020054407191299, min values: 2.7545e-06, max values: 39.193, median values: 0.28628, and quantile values: 0.25 0.071887\n0.50 0.286280\n0.75 1.135050\nName: 1380, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3024387713985535, std values: 4.6645628647100095, min values: 6.3617e-07, max values: 37.409, median values: 0.17707, and quantile values: 0.25 0.051537\n0.50 0.177070\n0.75 0.732990\nName: 1381, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4577138316289309, std values: 4.937056913163907, min values: 2.6057e-06, max values: 39.564, median values: 0.22505, and quantile values: 0.25 0.065171\n0.50 0.225050\n0.75 0.833375\nName: 1382, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6671865310446539, std values: 4.927202116753112, min values: 1.9724e-06, max values: 39.297, median values: 0.28037, and quantile values: 0.25 0.076775\n0.50 0.280370\n0.75 1.159800\nName: 1383, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.712391075116981, std values: 5.312980677658942, min values: 1.3538e-06, max values: 45.42, median values: 0.26457, and quantile values: 0.25 0.075963\n0.50 0.264570\n0.75 1.177200\nName: 1384, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6529184979999998, std values: 5.098621297394423, min values: 5.0681e-06, max values: 40.743, median values: 0.26659, and quantile values: 0.25 0.070448\n0.50 0.266590\n0.75 1.046100\nName: 1385, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2838494306250945, std values: 4.773786003725801, min values: 2.1019e-07, max values: 39.454, median values: 0.17986, and quantile values: 0.25 0.049017\n0.50 0.179860\n0.75 0.647345\nName: 1386, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4774202506134841, std values: 5.09264524923143, min values: 2.2974e-08, max values: 44.929, median values: 0.23328, and quantile values: 0.25 0.048275\n0.50 0.233280\n0.75 0.837310\nName: 1387, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7904503883050313, std values: 5.334218744038753, min values: 3.284e-06, max values: 43.652, median values: 0.35886, and quantile values: 0.25 0.095478\n0.50 0.358860\n0.75 1.197250\nName: 1388, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5112165359847358, std values: 4.911252649934643, min values: 3.2993e-08, max values: 40.656, median values: 0.25584, and quantile values: 0.25 0.055220\n0.50 0.255840\n0.75 0.957735\nName: 1389, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5001578295911953, std values: 4.868369135701543, min values: 2.0775e-06, max values: 38.776, median values: 0.22746, and quantile values: 0.25 0.065949\n0.50 0.227460\n0.75 0.944785\nName: 1390, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.965198313989937, std values: 5.499226082413159, min values: 5.5334e-06, max values: 44.083, median values: 0.34128, and quantile values: 0.25 0.10607\n0.50 0.34128\n0.75 1.34145\nName: 1391, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3724087363207547, std values: 4.6656769371083175, min values: 2.4206e-06, max values: 38.969, median values: 0.20048, and quantile values: 0.25 0.069260\n0.50 0.200480\n0.75 0.726435\nName: 1392, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.405312888071069, std values: 4.586763941370361, min values: 1.2778e-06, max values: 38.073, median values: 0.2338, and quantile values: 0.25 0.069778\n0.50 0.233800\n0.75 0.852725\nName: 1393, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4188079666385534, std values: 4.935473166610669, min values: 2.6503e-07, max values: 41.648, median values: 0.19645, and quantile values: 0.25 0.049257\n0.50 0.196450\n0.75 0.782690\nName: 1394, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5971448208962264, std values: 4.904198476740775, min values: 1.2987e-06, max values: 38.404, median values: 0.24735, and quantile values: 0.25 0.073664\n0.50 0.247350\n0.75 1.013640\nName: 1395, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4170566777587672, std values: 4.870379150581405, min values: 2.8004e-08, max values: 40.652, median values: 0.15829, and quantile values: 0.25 0.047301\n0.50 0.158290\n0.75 0.807905\nName: 1396, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.559725995934591, std values: 4.906747840474224, min values: 1.9514e-06, max values: 38.985, median values: 0.27021, and quantile values: 0.25 0.080747\n0.50 0.270210\n0.75 0.995830\nName: 1397, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4434484574130817, std values: 4.743374497237144, min values: 5.1338e-07, max values: 37.646, median values: 0.22886, and quantile values: 0.25 0.065448\n0.50 0.228860\n0.75 0.899065\nName: 1398, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4767681012474212, std values: 4.935262561552138, min values: 7.7404e-07, max values: 39.735, median values: 0.19655, and quantile values: 0.25 0.067705\n0.50 0.196550\n0.75 0.929540\nName: 1399, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5864250866256602, std values: 4.875716671019476, min values: 9.3638e-07, max values: 38.086, median values: 0.26511, and quantile values: 0.25 0.069477\n0.50 0.265110\n0.75 1.049600\nName: 1400, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4770554447207547, std values: 4.926950655670842, min values: 1.2467e-06, max values: 39.46, median values: 0.22061, and quantile values: 0.25 0.060896\n0.50 0.220610\n0.75 0.914775\nName: 1401, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.362646003200629, std values: 4.803577458277791, min values: 2.2201e-06, max values: 39.518, median values: 0.21207, and quantile values: 0.25 0.061671\n0.50 0.212070\n0.75 0.760375\nName: 1402, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4838966154356605, std values: 4.89423192592347, min values: 3.7877e-07, max values: 40.212, median values: 0.19717, and quantile values: 0.25 0.049985\n0.50 0.197170\n0.75 0.842230\nName: 1403, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3913053029528302, std values: 4.762072638370803, min values: 1.4899e-06, max values: 38.076, median values: 0.19725, and quantile values: 0.25 0.060524\n0.50 0.197250\n0.75 0.844420\nName: 1404, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3334525613057233, std values: 4.7761367876217315, min values: 3.7681e-07, max values: 38.309, median values: 0.17216, and quantile values: 0.25 0.046621\n0.50 0.172160\n0.75 0.692320\nName: 1405, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5545999690295595, std values: 4.877933590273531, min values: 4.775e-06, max values: 41.156, median values: 0.25746, and quantile values: 0.25 0.063512\n0.50 0.257460\n0.75 0.930520\nName: 1406, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3005688826394342, std values: 4.77500184771836, min values: 7.0117e-07, max values: 39.375, median values: 0.15265, and quantile values: 0.25 0.049830\n0.50 0.152650\n0.75 0.664385\nName: 1407, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3679177363206603, std values: 4.734745761734705, min values: 3.4385e-08, max values: 38.244, median values: 0.16783, and quantile values: 0.25 0.045077\n0.50 0.167830\n0.75 0.774560\nName: 1408, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5255978372295596, std values: 4.987138159751408, min values: 1.9153e-06, max values: 39.754, median values: 0.22432, and quantile values: 0.25 0.058216\n0.50 0.224320\n0.75 1.002310\nName: 1409, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4696351793163522, std values: 5.018100249458726, min values: 9.593e-07, max values: 42.064, median values: 0.2423, and quantile values: 0.25 0.072717\n0.50 0.242300\n0.75 0.790165\nName: 1410, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5166785512503145, std values: 4.916889904580916, min values: 2.3161e-06, max values: 39.594, median values: 0.27487, and quantile values: 0.25 0.070311\n0.50 0.274870\n0.75 0.948870\nName: 1411, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3407618437049935, std values: 4.693979373889441, min values: 9.0494e-08, max values: 37.387, median values: 0.18228, and quantile values: 0.25 0.051161\n0.50 0.182280\n0.75 0.791440\nName: 1412, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4754560735981133, std values: 4.7612492092938385, min values: 1.0216e-06, max values: 38.3, median values: 0.22923, and quantile values: 0.25 0.06687\n0.50 0.22923\n0.75 0.92856\nName: 1413, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5763595268295598, std values: 5.008144509788784, min values: 3.6212e-06, max values: 40.331, median values: 0.23956, and quantile values: 0.25 0.069526\n0.50 0.239560\n0.75 0.983495\nName: 1414, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3935304513603775, std values: 5.123944650472702, min values: 1.1419e-06, max values: 43.298, median values: 0.19788, and quantile values: 0.25 0.055418\n0.50 0.197880\n0.75 0.818005\nName: 1415, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2440199333672453, std values: 4.71884194509839, min values: 1.8462e-08, max values: 38.381, median values: 0.13975, and quantile values: 0.25 0.039037\n0.50 0.139750\n0.75 0.621615\nName: 1416, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3270660133609813, std values: 4.85676872465358, min values: 1.9786e-08, max values: 40.757, median values: 0.16926, and quantile values: 0.25 0.042604\n0.50 0.169260\n0.75 0.684950\nName: 1417, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6704634156540878, std values: 5.203755153972577, min values: 1.289e-06, max values: 44.259, median values: 0.25984, and quantile values: 0.25 0.071491\n0.50 0.259840\n0.75 1.129000\nName: 1418, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3163363464918238, std values: 4.775312632155274, min values: 1.8015e-06, max values: 39.827, median values: 0.17266, and quantile values: 0.25 0.053302\n0.50 0.172660\n0.75 0.752630\nName: 1419, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.249728714691, std values: 4.577560443522105, min values: 1.8204e-08, max values: 37.183, median values: 0.12796, and quantile values: 0.25 0.026231\n0.50 0.127960\n0.75 0.594245\nName: 1420, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4080340766816353, std values: 4.80988425146675, min values: 1.5106e-07, max values: 39.337, median values: 0.18789, and quantile values: 0.25 0.048863\n0.50 0.187890\n0.75 0.791790\nName: 1421, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3133185647473584, std values: 4.584535216286954, min values: 1.7253e-07, max values: 37.473, median values: 0.15908, and quantile values: 0.25 0.046555\n0.50 0.159080\n0.75 0.717100\nName: 1422, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.449320537510692, std values: 4.854468062509512, min values: 3.5395e-06, max values: 40.243, median values: 0.20674, and quantile values: 0.25 0.064242\n0.50 0.206740\n0.75 0.832900\nName: 1423, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4599901201379937, std values: 5.008099222278265, min values: 2.7741e-08, max values: 42.973, median values: 0.18514, and quantile values: 0.25 0.046196\n0.50 0.185140\n0.75 0.876795\nName: 1424, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.568517230736478, std values: 5.0181347023596965, min values: 2.4282e-06, max values: 40.064, median values: 0.26157, and quantile values: 0.25 0.062766\n0.50 0.261570\n0.75 1.025220\nName: 1425, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7123290035647798, std values: 5.201256393416116, min values: 2.715e-06, max values: 42.336, median values: 0.28942, and quantile values: 0.25 0.079813\n0.50 0.289420\n0.75 1.154100\nName: 1426, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4905656222062895, std values: 5.0761247949453425, min values: 1.8434e-06, max values: 42.487, median values: 0.19684, and quantile values: 0.25 0.06075\n0.50 0.19684\n0.75 0.83100\nName: 1427, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4194644727776478, std values: 4.866120994874767, min values: 2.9846e-08, max values: 40.004, median values: 0.20913, and quantile values: 0.25 0.055032\n0.50 0.209130\n0.75 0.864520\nName: 1428, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2834627225911948, std values: 4.733955352872562, min values: 1.5394e-06, max values: 39.176, median values: 0.18298, and quantile values: 0.25 0.052913\n0.50 0.182980\n0.75 0.734480\nName: 1429, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5046110060862266, std values: 4.842558395767447, min values: 2.1091e-07, max values: 38.449, median values: 0.21498, and quantile values: 0.25 0.057229\n0.50 0.214980\n0.75 0.944075\nName: 1430, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3850908774616417, std values: 4.848915792064307, min values: 1.6301e-08, max values: 40.097, median values: 0.18764, and quantile values: 0.25 0.050874\n0.50 0.187640\n0.75 0.808405\nName: 1431, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.462275515364151, std values: 4.798361971724815, min values: 1.2428e-06, max values: 38.402, median values: 0.21287, and quantile values: 0.25 0.063780\n0.50 0.212870\n0.75 0.886385\nName: 1432, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3428959987586164, std values: 4.748970048663199, min values: 1.7992e-07, max values: 38.363, median values: 0.1876, and quantile values: 0.25 0.053598\n0.50 0.187600\n0.75 0.793845\nName: 1433, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4055976001515724, std values: 4.600555789450285, min values: 1.2676e-06, max values: 37.984, median values: 0.23214, and quantile values: 0.25 0.05870\n0.50 0.23214\n0.75 0.92606\nName: 1434, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2730014204666664, std values: 4.656083028688663, min values: 1.3873e-06, max values: 39.003, median values: 0.206, and quantile values: 0.25 0.053702\n0.50 0.206000\n0.75 0.704650\nName: 1435, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5720844877238993, std values: 4.9869812204106685, min values: 3.6007e-06, max values: 40.594, median values: 0.27203, and quantile values: 0.25 0.073283\n0.50 0.272030\n0.75 0.936345\nName: 1436, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.624117607983019, std values: 5.052506851479943, min values: 2.8772e-06, max values: 40.423, median values: 0.26503, and quantile values: 0.25 0.070967\n0.50 0.265030\n0.75 1.056200\nName: 1437, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5027597609981134, std values: 4.9609581133140725, min values: 3.0572e-06, max values: 39.654, median values: 0.2375, and quantile values: 0.25 0.06426\n0.50 0.23750\n0.75 0.91447\nName: 1438, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.715541032008176, std values: 4.802757664108922, min values: 1.6416e-06, max values: 38.62, median values: 0.28795, and quantile values: 0.25 0.086345\n0.50 0.287950\n0.75 1.231600\nName: 1439, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4099652441977986, std values: 4.644027455308769, min values: 1.3725e-07, max values: 37.04, median values: 0.19304, and quantile values: 0.25 0.046678\n0.50 0.193040\n0.75 0.818175\nName: 1440, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5492011156628929, std values: 5.050635914211788, min values: 1.5017e-06, max values: 41.681, median values: 0.20806, and quantile values: 0.25 0.056801\n0.50 0.208060\n0.75 0.947450\nName: 1441, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.522757678780503, std values: 5.122423622436501, min values: 3.4715e-06, max values: 41.612, median values: 0.24673, and quantile values: 0.25 0.061561\n0.50 0.246730\n0.75 0.936455\nName: 1442, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6817480431415093, std values: 5.190931681273087, min values: 4.3368e-06, max values: 41.26, median values: 0.26489, and quantile values: 0.25 0.078309\n0.50 0.264890\n0.75 1.073000\nName: 1443, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5318320314968552, std values: 4.9903706021648855, min values: 1.5448e-06, max values: 40.732, median values: 0.23844, and quantile values: 0.25 0.068668\n0.50 0.238440\n0.75 0.990915\nName: 1444, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5600046667402514, std values: 5.200204011816963, min values: 4.7892e-06, max values: 42.851, median values: 0.24353, and quantile values: 0.25 0.074879\n0.50 0.243530\n0.75 0.935100\nName: 1445, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.584619139245283, std values: 4.902361503071684, min values: 1.6881e-06, max values: 38.378, median values: 0.24996, and quantile values: 0.25 0.067236\n0.50 0.249960\n0.75 1.054900\nName: 1446, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4615666622836474, std values: 4.8608480705659405, min values: 3.2458e-06, max values: 40.165, median values: 0.22281, and quantile values: 0.25 0.062632\n0.50 0.222810\n0.75 0.815445\nName: 1447, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4322582302891385, std values: 4.5930429606933965, min values: 1.7153e-08, max values: 36.817, median values: 0.18669, and quantile values: 0.25 0.046856\n0.50 0.186690\n0.75 0.973420\nName: 1448, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4416465789496853, std values: 5.062885115223783, min values: 1.5499e-06, max values: 42.167, median values: 0.20553, and quantile values: 0.25 0.061290\n0.50 0.205530\n0.75 0.820865\nName: 1449, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7055682585194967, std values: 5.172042231733478, min values: 5.7005e-06, max values: 40.758, median values: 0.28259, and quantile values: 0.25 0.088118\n0.50 0.282590\n0.75 1.048105\nName: 1450, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6257619824584906, std values: 5.168804500208362, min values: 3.0463e-06, max values: 42.306, median values: 0.27069, and quantile values: 0.25 0.075836\n0.50 0.270690\n0.75 1.015550\nName: 1451, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4735764280540882, std values: 4.863550377276083, min values: 2.753e-06, max values: 39.515, median values: 0.22197, and quantile values: 0.25 0.069391\n0.50 0.221970\n0.75 0.921770\nName: 1452, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5690674347255344, std values: 4.929782314660913, min values: 7.6746e-07, max values: 39.36, median values: 0.21887, and quantile values: 0.25 0.060654\n0.50 0.218870\n0.75 1.020380\nName: 1453, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.538536221307547, std values: 4.916167407518908, min values: 1.6408e-06, max values: 38.817, median values: 0.21112, and quantile values: 0.25 0.062312\n0.50 0.211120\n0.75 0.926195\nName: 1454, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.600887844398742, std values: 5.263358302557726, min values: 4.4992e-06, max values: 42.737, median values: 0.25648, and quantile values: 0.25 0.065529\n0.50 0.256480\n0.75 0.908440\nName: 1455, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6692920107056601, std values: 5.254858215536618, min values: 3.2813e-06, max values: 43.553, median values: 0.27394, and quantile values: 0.25 0.069928\n0.50 0.273940\n0.75 1.111100\nName: 1456, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4022324349898112, std values: 4.64343669107094, min values: 8.7388e-07, max values: 37.65, median values: 0.21744, and quantile values: 0.25 0.061998\n0.50 0.217440\n0.75 0.879895\nName: 1457, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.412240328345912, std values: 4.971266905091079, min values: 2.1903e-06, max values: 40.782, median values: 0.1967, and quantile values: 0.25 0.059802\n0.50 0.196700\n0.75 0.739210\nName: 1458, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3087220715125785, std values: 4.848157362085734, min values: 1.3789e-06, max values: 39.112, median values: 0.17361, and quantile values: 0.25 0.057576\n0.50 0.173610\n0.75 0.734960\nName: 1459, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4758044887245283, std values: 4.858570266703709, min values: 1.2675e-06, max values: 38.789, median values: 0.21877, and quantile values: 0.25 0.057584\n0.50 0.218770\n0.75 0.896290\nName: 1460, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.660161223911321, std values: 4.86056693449215, min values: 1.3862e-06, max values: 39.241, median values: 0.27549, and quantile values: 0.25 0.079042\n0.50 0.275490\n0.75 1.174550\nName: 1461, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9105531046465407, std values: 5.557223162762584, min values: 1.7446e-06, max values: 47.732, median values: 0.34312, and quantile values: 0.25 0.087815\n0.50 0.343120\n0.75 1.385150\nName: 1462, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.448419373546541, std values: 4.842433988422674, min values: 6.259e-07, max values: 38.44, median values: 0.19048, and quantile values: 0.25 0.045456\n0.50 0.190480\n0.75 0.808925\nName: 1463, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5249149797446542, std values: 4.913177463054207, min values: 7.9224e-06, max values: 41.606, median values: 0.22136, and quantile values: 0.25 0.067611\n0.50 0.221360\n0.75 0.911405\nName: 1464, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3973274105417672, std values: 4.8732291793381055, min values: 1.8881e-08, max values: 41.13, median values: 0.17717, and quantile values: 0.25 0.038502\n0.50 0.177170\n0.75 0.736800\nName: 1465, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.553015825908176, std values: 5.169228232740534, min values: 3.8509e-06, max values: 42.066, median values: 0.21262, and quantile values: 0.25 0.069036\n0.50 0.212620\n0.75 0.852560\nName: 1466, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3568265419471068, std values: 4.8430011343062365, min values: 7.2209e-07, max values: 38.881, median values: 0.16313, and quantile values: 0.25 0.050784\n0.50 0.163130\n0.75 0.698230\nName: 1467, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3488400643207548, std values: 4.613355275494917, min values: 2.8417e-06, max values: 39.601, median values: 0.19732, and quantile values: 0.25 0.06045\n0.50 0.19732\n0.75 0.76131\nName: 1468, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.435669418770264, std values: 5.055084541201747, min values: 2.1552e-08, max values: 43.742, median values: 0.1732, and quantile values: 0.25 0.044346\n0.50 0.173200\n0.75 0.814820\nName: 1469, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7901408620597483, std values: 5.371929271116725, min values: 1.9306e-06, max values: 45.186, median values: 0.27556, and quantile values: 0.25 0.081393\n0.50 0.275560\n0.75 1.227700\nName: 1470, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5859593735180506, std values: 5.212123792120608, min values: 1.8827e-07, max values: 45.61, median values: 0.219, and quantile values: 0.25 0.056306\n0.50 0.219000\n0.75 0.954330\nName: 1471, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6655941301522013, std values: 5.117869226359439, min values: 3.551e-06, max values: 40.306, median values: 0.24762, and quantile values: 0.25 0.08099\n0.50 0.24762\n0.75 1.05240\nName: 1472, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5422818799886793, std values: 5.068571951844155, min values: 3.3462e-06, max values: 40.3, median values: 0.26236, and quantile values: 0.25 0.067915\n0.50 0.262360\n0.75 0.937140\nName: 1473, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4485997456226416, std values: 4.870470479451229, min values: 1.2365e-06, max values: 39.078, median values: 0.19486, and quantile values: 0.25 0.05841\n0.50 0.19486\n0.75 0.93183\nName: 1474, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3959560872894339, std values: 4.8123680998231535, min values: 4.8172e-07, max values: 38.51, median values: 0.20486, and quantile values: 0.25 0.061681\n0.50 0.204860\n0.75 0.826755\nName: 1475, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3513888402786165, std values: 4.816784732351263, min values: 3.693e-07, max values: 38.973, median values: 0.19319, and quantile values: 0.25 0.054003\n0.50 0.193190\n0.75 0.728415\nName: 1476, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3691116166703712, std values: 4.87492244932226, min values: 3.0759e-08, max values: 41.318, median values: 0.20263, and quantile values: 0.25 0.048485\n0.50 0.202630\n0.75 0.752570\nName: 1477, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.333675751352805, std values: 4.750085613250308, min values: 2.3396e-08, max values: 38.584, median values: 0.19427, and quantile values: 0.25 0.051929\n0.50 0.194270\n0.75 0.764575\nName: 1478, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2442871935716981, std values: 4.85951533856917, min values: 1.7927e-06, max values: 39.277, median values: 0.14116, and quantile values: 0.25 0.042307\n0.50 0.141160\n0.75 0.565505\nName: 1479, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.464732222971069, std values: 5.164853152424892, min values: 1.7237e-06, max values: 43.647, median values: 0.20612, and quantile values: 0.25 0.06657\n0.50 0.20612\n0.75 0.83084\nName: 1480, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4405722395430502, std values: 4.9385266731951205, min values: 1.8845e-08, max values: 41.449, median values: 0.19752, and quantile values: 0.25 0.055399\n0.50 0.197520\n0.75 0.878020\nName: 1481, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3072835302672956, std values: 4.796954604409269, min values: 3.2201e-06, max values: 40.379, median values: 0.17011, and quantile values: 0.25 0.054861\n0.50 0.170110\n0.75 0.671855\nName: 1482, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.469173436342327, std values: 4.942300764932139, min values: 5.5033e-07, max values: 40.792, median values: 0.19486, and quantile values: 0.25 0.055904\n0.50 0.194860\n0.75 0.822065\nName: 1483, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2022810116026978, std values: 4.596104446885368, min values: 9.1839e-08, max values: 37.134, median values: 0.1303, and quantile values: 0.25 0.039558\n0.50 0.130300\n0.75 0.589205\nName: 1484, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5015158426220125, std values: 5.087651518761611, min values: 2.13e-06, max values: 41.718, median values: 0.24166, and quantile values: 0.25 0.068658\n0.50 0.241660\n0.75 0.850870\nName: 1485, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4022153461509435, std values: 4.7419003303018705, min values: 3.6613e-06, max values: 39.929, median values: 0.22013, and quantile values: 0.25 0.061637\n0.50 0.220130\n0.75 0.795525\nName: 1486, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.55522126896239, std values: 4.985525008063842, min values: 5.4422e-07, max values: 41.709, median values: 0.26863, and quantile values: 0.25 0.063219\n0.50 0.268630\n0.75 0.958760\nName: 1487, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2833893234044025, std values: 4.928342094836854, min values: 2.7216e-06, max values: 41.314, median values: 0.16445, and quantile values: 0.25 0.045965\n0.50 0.164450\n0.75 0.613950\nName: 1488, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3333995856119498, std values: 4.832999588836607, min values: 2.0774e-06, max values: 39.223, median values: 0.19745, and quantile values: 0.25 0.060213\n0.50 0.197450\n0.75 0.769920\nName: 1489, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.482743804581132, std values: 4.933674707760007, min values: 1.177e-06, max values: 39.774, median values: 0.20503, and quantile values: 0.25 0.060085\n0.50 0.205030\n0.75 0.932135\nName: 1490, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7854723810805033, std values: 5.2821730339590545, min values: 5.048e-06, max values: 41.062, median values: 0.28102, and quantile values: 0.25 0.084213\n0.50 0.281020\n0.75 1.134300\nName: 1491, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3880220096284277, std values: 5.040327557557771, min values: 5.0572e-07, max values: 43.29, median values: 0.20535, and quantile values: 0.25 0.05267\n0.50 0.20535\n0.75 0.74869\nName: 1492, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2925105155377359, std values: 4.870610309830274, min values: 1.6003e-06, max values: 39.624, median values: 0.15367, and quantile values: 0.25 0.048678\n0.50 0.153670\n0.75 0.711935\nName: 1493, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5062467251071696, std values: 4.922773459359087, min values: 1.6414e-07, max values: 40.359, median values: 0.21315, and quantile values: 0.25 0.061296\n0.50 0.213150\n0.75 0.936245\nName: 1494, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5707265612220125, std values: 5.066588828802264, min values: 2.1315e-06, max values: 40.381, median values: 0.23973, and quantile values: 0.25 0.069718\n0.50 0.239730\n0.75 0.965415\nName: 1495, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9976597596496855, std values: 5.368681165332376, min values: 3.4667e-06, max values: 42.465, median values: 0.39979, and quantile values: 0.25 0.113035\n0.50 0.399790\n0.75 1.450700\nName: 1496, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6000296749381133, std values: 4.953321494881692, min values: 3.296e-08, max values: 40.187, median values: 0.24704, and quantile values: 0.25 0.052836\n0.50 0.247040\n0.75 1.105350\nName: 1497, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5664687087792453, std values: 4.8912695095838625, min values: 2.6646e-06, max values: 39.878, median values: 0.26686, and quantile values: 0.25 0.066543\n0.50 0.266860\n0.75 1.001845\nName: 1498, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5649600432666664, std values: 5.23148723532379, min values: 2.8874e-06, max values: 43.512, median values: 0.26147, and quantile values: 0.25 0.060504\n0.50 0.261470\n0.75 0.953355\nName: 1499, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6329709647427675, std values: 5.102772074577192, min values: 1.8637e-06, max values: 41.519, median values: 0.26753, and quantile values: 0.25 0.075466\n0.50 0.267530\n0.75 1.076050\nName: 1500, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4009994988786163, std values: 4.977039837197145, min values: 2.2299e-06, max values: 39.985, median values: 0.2176, and quantile values: 0.25 0.059965\n0.50 0.217600\n0.75 0.791620\nName: 1501, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4333006551598113, std values: 5.049703584650496, min values: 7.4991e-07, max values: 43.23, median values: 0.19798, and quantile values: 0.25 0.056118\n0.50 0.197980\n0.75 0.767600\nName: 1502, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6502416113081761, std values: 5.123583921876995, min values: 1.2336e-06, max values: 42.253, median values: 0.29179, and quantile values: 0.25 0.080419\n0.50 0.291790\n0.75 1.131600\nName: 1503, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5804182412157235, std values: 5.076205893412025, min values: 1.0873e-06, max values: 42.448, median values: 0.26885, and quantile values: 0.25 0.070909\n0.50 0.268850\n0.75 1.013460\nName: 1504, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4818511649317612, std values: 4.696869934239898, min values: 2.5215e-07, max values: 37.277, median values: 0.25596, and quantile values: 0.25 0.065725\n0.50 0.255960\n0.75 0.970385\nName: 1505, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1549694049654717, std values: 4.563960165768711, min values: 8.3761e-07, max values: 37.176, median values: 0.12837, and quantile values: 0.25 0.040699\n0.50 0.128370\n0.75 0.536720\nName: 1506, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5280522215924528, std values: 5.328616818881846, min values: 2.0326e-06, max values: 46.084, median values: 0.22436, and quantile values: 0.25 0.063454\n0.50 0.224360\n0.75 0.886860\nName: 1507, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.640877512508805, std values: 4.986265861346175, min values: 3.0626e-06, max values: 38.647, median values: 0.25477, and quantile values: 0.25 0.074455\n0.50 0.254770\n0.75 1.096350\nName: 1508, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6365069904539307, std values: 4.900104780104951, min values: 9.8975e-08, max values: 38.629, median values: 0.27494, and quantile values: 0.25 0.06414\n0.50 0.27494\n0.75 1.16150\nName: 1509, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6935379896251572, std values: 5.057108516625329, min values: 1.7803e-06, max values: 39.582, median values: 0.25044, and quantile values: 0.25 0.071852\n0.50 0.250440\n0.75 1.114500\nName: 1510, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5058597631849058, std values: 4.937417287291545, min values: 4.5455e-06, max values: 40.173, median values: 0.24563, and quantile values: 0.25 0.073024\n0.50 0.245630\n0.75 0.863205\nName: 1511, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.664544060308805, std values: 5.023397007142232, min values: 1.9202e-06, max values: 39.349, median values: 0.27917, and quantile values: 0.25 0.07655\n0.50 0.27917\n0.75 1.16300\nName: 1512, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4929512770761006, std values: 4.7797749270766365, min values: 3.2443e-06, max values: 39.166, median values: 0.26055, and quantile values: 0.25 0.069596\n0.50 0.260550\n0.75 0.952590\nName: 1513, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4599543174383647, std values: 4.816342967378669, min values: 1.6103e-06, max values: 39.356, median values: 0.22204, and quantile values: 0.25 0.060269\n0.50 0.222040\n0.75 0.867210\nName: 1514, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4771918189218867, std values: 4.759114411696462, min values: 1.5718e-07, max values: 37.653, median values: 0.26471, and quantile values: 0.25 0.061192\n0.50 0.264710\n0.75 0.947685\nName: 1515, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4876425639037736, std values: 5.127908797124344, min values: 4.5258e-06, max values: 41.289, median values: 0.246, and quantile values: 0.25 0.064098\n0.50 0.246000\n0.75 0.714735\nName: 1516, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4980056961018868, std values: 4.939970146661833, min values: 4.3999e-06, max values: 39.917, median values: 0.20701, and quantile values: 0.25 0.073241\n0.50 0.207010\n0.75 0.859675\nName: 1517, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4986559678421383, std values: 4.993437672366183, min values: 1.8432e-06, max values: 40.507, median values: 0.23152, and quantile values: 0.25 0.065231\n0.50 0.231520\n0.75 0.913290\nName: 1518, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4635835460301887, std values: 4.871391499152392, min values: 1.3305e-06, max values: 38.989, median values: 0.21743, and quantile values: 0.25 0.066034\n0.50 0.217430\n0.75 0.941855\nName: 1519, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.444905241475849, std values: 4.945713678050318, min values: 5.3606e-07, max values: 40.419, median values: 0.18871, and quantile values: 0.25 0.064361\n0.50 0.188710\n0.75 0.875430\nName: 1520, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3224341369169181, std values: 4.62706000199777, min values: 2.8699e-07, max values: 37.44, median values: 0.18858, and quantile values: 0.25 0.046817\n0.50 0.188580\n0.75 0.720575\nName: 1521, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.635368186106918, std values: 5.090370333304081, min values: 1.7907e-06, max values: 40.922, median values: 0.28628, and quantile values: 0.25 0.070797\n0.50 0.286280\n0.75 1.067750\nName: 1522, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3644738575474213, std values: 4.670941860136377, min values: 7.4494e-07, max values: 37.13, median values: 0.15894, and quantile values: 0.25 0.053134\n0.50 0.158940\n0.75 0.793840\nName: 1523, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.351282604707547, std values: 4.651177388343311, min values: 1.7694e-06, max values: 38.653, median values: 0.18721, and quantile values: 0.25 0.056388\n0.50 0.187210\n0.75 0.810440\nName: 1524, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3143852622654717, std values: 4.816193027549742, min values: 8.0111e-07, max values: 39.861, median values: 0.17953, and quantile values: 0.25 0.046471\n0.50 0.179530\n0.75 0.759195\nName: 1525, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.635690736237736, std values: 5.039517578674326, min values: 2.1088e-06, max values: 40.356, median values: 0.24734, and quantile values: 0.25 0.076507\n0.50 0.247340\n0.75 1.010800\nName: 1526, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5332027405361635, std values: 4.898718899765872, min values: 4.1845e-07, max values: 39.744, median values: 0.23689, and quantile values: 0.25 0.064475\n0.50 0.236890\n0.75 0.952530\nName: 1527, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4232756171320757, std values: 4.650795177601968, min values: 2.6622e-06, max values: 39.168, median values: 0.23766, and quantile values: 0.25 0.063838\n0.50 0.237660\n0.75 0.883155\nName: 1528, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5012426800542769, std values: 4.810048378364824, min values: 7.6143e-07, max values: 38.214, median values: 0.26223, and quantile values: 0.25 0.068265\n0.50 0.262230\n0.75 0.991355\nName: 1529, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.529035346663522, std values: 5.114822496794887, min values: 3.9064e-06, max values: 41.317, median values: 0.24889, and quantile values: 0.25 0.072408\n0.50 0.248890\n0.75 0.855080\nName: 1530, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5480695680056604, std values: 5.16280073075507, min values: 4.031e-07, max values: 45.263, median values: 0.22932, and quantile values: 0.25 0.058599\n0.50 0.229320\n0.75 0.935540\nName: 1531, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5181319967314464, std values: 4.917142881482104, min values: 2.5506e-06, max values: 39.408, median values: 0.26684, and quantile values: 0.25 0.070144\n0.50 0.266840\n0.75 0.920470\nName: 1532, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2671954186507548, std values: 4.713979517464456, min values: 6.1657e-07, max values: 38.052, median values: 0.17559, and quantile values: 0.25 0.056409\n0.50 0.175590\n0.75 0.657980\nName: 1533, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3183061656290564, std values: 4.805102504406417, min values: 1.2562e-07, max values: 39.635, median values: 0.16276, and quantile values: 0.25 0.047989\n0.50 0.162760\n0.75 0.714030\nName: 1534, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.651683376689937, std values: 5.110568924465605, min values: 6.7367e-06, max values: 40.264, median values: 0.28101, and quantile values: 0.25 0.078478\n0.50 0.281010\n0.75 0.953660\nName: 1535, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5856878750245282, std values: 4.971385673879555, min values: 1.708e-06, max values: 38.987, median values: 0.2527, and quantile values: 0.25 0.068991\n0.50 0.252700\n0.75 1.052750\nName: 1536, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2194775123688681, std values: 4.585092526011291, min values: 6.9695e-07, max values: 37.305, median values: 0.1599, and quantile values: 0.25 0.052445\n0.50 0.159900\n0.75 0.649005\nName: 1537, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6325694183257233, std values: 5.148234051824611, min values: 8.7329e-07, max values: 42.996, median values: 0.2359, and quantile values: 0.25 0.066302\n0.50 0.235900\n0.75 1.089200\nName: 1538, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4345330041254276, std values: 4.9063923658222235, min values: 2.5443e-08, max values: 41.951, median values: 0.21164, and quantile values: 0.25 0.043201\n0.50 0.211640\n0.75 0.797420\nName: 1539, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3775387444685534, std values: 4.683437175196873, min values: 1.6417e-06, max values: 38.802, median values: 0.20521, and quantile values: 0.25 0.060718\n0.50 0.205210\n0.75 0.802605\nName: 1540, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4459211534754715, std values: 4.648165572534482, min values: 2.0548e-06, max values: 38.204, median values: 0.24811, and quantile values: 0.25 0.070921\n0.50 0.248110\n0.75 0.971885\nName: 1541, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2491746766567295, std values: 4.7771453653635385, min values: 1.4782e-07, max values: 40.068, median values: 0.12497, and quantile values: 0.25 0.035235\n0.50 0.124970\n0.75 0.605125\nName: 1542, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2830790707034465, std values: 4.610878538533283, min values: 8.6448e-08, max values: 37.802, median values: 0.16293, and quantile values: 0.25 0.040292\n0.50 0.162930\n0.75 0.711140\nName: 1543, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4951487366930818, std values: 4.810502323700513, min values: 1.8706e-06, max values: 39.495, median values: 0.25217, and quantile values: 0.25 0.065087\n0.50 0.252170\n0.75 0.955045\nName: 1544, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5158829076097486, std values: 5.012419333028224, min values: 5.0155e-07, max values: 41.654, median values: 0.245, and quantile values: 0.25 0.064774\n0.50 0.245000\n0.75 0.913700\nName: 1545, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.287748893110063, std values: 4.557456749046976, min values: 4.8771e-07, max values: 36.591, median values: 0.14279, and quantile values: 0.25 0.042799\n0.50 0.142790\n0.75 0.679475\nName: 1546, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4140817370779875, std values: 4.604870105373899, min values: 8.629e-07, max values: 37.716, median values: 0.20385, and quantile values: 0.25 0.06443\n0.50 0.20385\n0.75 0.86405\nName: 1547, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5240569725440252, std values: 5.192350000043255, min values: 2.2853e-06, max values: 43.051, median values: 0.21462, and quantile values: 0.25 0.063076\n0.50 0.214620\n0.75 0.888770\nName: 1548, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4522692946062894, std values: 4.972345835878017, min values: 1.6413e-06, max values: 40.296, median values: 0.22107, and quantile values: 0.25 0.062162\n0.50 0.221070\n0.75 0.885645\nName: 1549, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2952699749177987, std values: 5.1311001750711664, min values: 7.4443e-07, max values: 44.953, median values: 0.16173, and quantile values: 0.25 0.044534\n0.50 0.161730\n0.75 0.627570\nName: 1550, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4097588434830188, std values: 5.187155142577898, min values: 1.6874e-06, max values: 44.706, median values: 0.18959, and quantile values: 0.25 0.053002\n0.50 0.189590\n0.75 0.768265\nName: 1551, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8835417353515722, std values: 5.259985110981201, min values: 4.7059e-06, max values: 40.595, median values: 0.33069, and quantile values: 0.25 0.083506\n0.50 0.330690\n0.75 1.269650\nName: 1552, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4198714416963836, std values: 4.823266606873105, min values: 1.8435e-08, max values: 39.752, median values: 0.15849, and quantile values: 0.25 0.045017\n0.50 0.158490\n0.75 0.736530\nName: 1553, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3276396858581134, std values: 4.9283711197018665, min values: 6.9644e-07, max values: 41.667, median values: 0.19215, and quantile values: 0.25 0.05118\n0.50 0.19215\n0.75 0.67961\nName: 1554, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6803822760811324, std values: 5.24422170423897, min values: 4.2123e-06, max values: 42.536, median values: 0.26831, and quantile values: 0.25 0.073944\n0.50 0.268310\n0.75 1.067100\nName: 1555, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.252640978480503, std values: 4.684242876472355, min values: 1.0999e-06, max values: 38.256, median values: 0.16909, and quantile values: 0.25 0.051471\n0.50 0.169090\n0.75 0.660590\nName: 1556, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4597589098943395, std values: 5.202788463195054, min values: 1.8673e-06, max values: 44.436, median values: 0.19899, and quantile values: 0.25 0.063387\n0.50 0.198990\n0.75 0.802565\nName: 1557, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3141190980930817, std values: 4.777804019612343, min values: 1.5694e-06, max values: 39.643, median values: 0.20332, and quantile values: 0.25 0.055969\n0.50 0.203320\n0.75 0.712665\nName: 1558, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2594125670133964, std values: 4.570361702621681, min values: 7.7993e-07, max values: 38.574, median values: 0.17601, and quantile values: 0.25 0.049211\n0.50 0.176010\n0.75 0.714770\nName: 1559, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6244690114513205, std values: 4.792316268337737, min values: 2.2188e-08, max values: 37.853, median values: 0.26926, and quantile values: 0.25 0.044601\n0.50 0.269260\n0.75 1.161450\nName: 1560, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4877842741190568, std values: 4.9462723638093395, min values: 1.568e-08, max values: 40.905, median values: 0.20416, and quantile values: 0.25 0.053269\n0.50 0.204160\n0.75 0.908170\nName: 1561, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.480028733039623, std values: 4.925149004496622, min values: 2.7079e-06, max values: 39.816, median values: 0.22831, and quantile values: 0.25 0.063529\n0.50 0.228310\n0.75 0.869330\nName: 1562, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.715530255588239, std values: 5.208922097215257, min values: 7.444e-08, max values: 44.772, median values: 0.23718, and quantile values: 0.25 0.055317\n0.50 0.237180\n0.75 1.181850\nName: 1563, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6674464976245285, std values: 5.014495241498797, min values: 1.0421e-06, max values: 40.243, median values: 0.29639, and quantile values: 0.25 0.072706\n0.50 0.296390\n0.75 1.132000\nName: 1564, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.543120333554088, std values: 4.906440424292221, min values: 1.2655e-06, max values: 38.594, median values: 0.27352, and quantile values: 0.25 0.071557\n0.50 0.273520\n0.75 0.983665\nName: 1565, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6702181605031448, std values: 5.112495211593019, min values: 5.95e-06, max values: 41.467, median values: 0.27922, and quantile values: 0.25 0.079804\n0.50 0.279220\n0.75 0.983710\nName: 1566, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3300389224208806, std values: 4.6234319387083405, min values: 4.5472e-07, max values: 37.996, median values: 0.16963, and quantile values: 0.25 0.048416\n0.50 0.169630\n0.75 0.772655\nName: 1567, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6136290532867925, std values: 5.011811758531032, min values: 1.5683e-06, max values: 40.081, median values: 0.24429, and quantile values: 0.25 0.069425\n0.50 0.244290\n0.75 1.073700\nName: 1568, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.811724477436478, std values: 5.287503410995476, min values: 5.3964e-06, max values: 40.8, median values: 0.34645, and quantile values: 0.25 0.089457\n0.50 0.346450\n0.75 1.196150\nName: 1569, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3933282396886164, std values: 4.796037598484828, min values: 2.6099e-07, max values: 39.18, median values: 0.17206, and quantile values: 0.25 0.051441\n0.50 0.172060\n0.75 0.758640\nName: 1570, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.401534983510692, std values: 4.759705598298269, min values: 2.0792e-06, max values: 38.766, median values: 0.23762, and quantile values: 0.25 0.075157\n0.50 0.237620\n0.75 0.780730\nName: 1571, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5285070228308175, std values: 4.712675245802849, min values: 2.8049e-06, max values: 39.786, median values: 0.25189, and quantile values: 0.25 0.073198\n0.50 0.251890\n0.75 0.994825\nName: 1572, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5134522903339622, std values: 5.106745201027314, min values: 1.442e-06, max values: 43.829, median values: 0.23931, and quantile values: 0.25 0.075855\n0.50 0.239310\n0.75 0.939525\nName: 1573, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5579390852750314, std values: 4.914603730178394, min values: 4.3703e-07, max values: 39.498, median values: 0.21637, and quantile values: 0.25 0.05840\n0.50 0.21637\n0.75 0.99710\nName: 1574, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5765767206467487, std values: 4.9038477961449605, min values: 5.9733e-08, max values: 39.969, median values: 0.24674, and quantile values: 0.25 0.060286\n0.50 0.246740\n0.75 1.047985\nName: 1575, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4947481972987422, std values: 5.041290529886069, min values: 3.6996e-06, max values: 40.295, median values: 0.22621, and quantile values: 0.25 0.069059\n0.50 0.226210\n0.75 0.832145\nName: 1576, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4480602549603772, std values: 4.814656159200732, min values: 1.2354e-06, max values: 38.594, median values: 0.22546, and quantile values: 0.25 0.062479\n0.50 0.225460\n0.75 0.862240\nName: 1577, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6022995448547173, std values: 5.0377771097138755, min values: 1.0313e-06, max values: 40.779, median values: 0.22064, and quantile values: 0.25 0.057916\n0.50 0.220640\n0.75 1.034960\nName: 1578, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3496759583792455, std values: 5.061063801552478, min values: 1.8073e-06, max values: 42.88, median values: 0.17779, and quantile values: 0.25 0.052568\n0.50 0.177790\n0.75 0.766685\nName: 1579, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.447732922479434, std values: 4.893060663365891, min values: 1.1563e-07, max values: 40.735, median values: 0.19539, and quantile values: 0.25 0.059920\n0.50 0.195390\n0.75 0.934065\nName: 1580, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6712074075113208, std values: 5.194959554652457, min values: 1.9323e-06, max values: 42.538, median values: 0.26997, and quantile values: 0.25 0.075684\n0.50 0.269970\n0.75 1.129750\nName: 1581, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.561753378951572, std values: 4.778724469347086, min values: 5.028e-07, max values: 38.045, median values: 0.2691, and quantile values: 0.25 0.067268\n0.50 0.269100\n0.75 1.061700\nName: 1582, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2374826613069183, std values: 4.708825727220665, min values: 1.3001e-06, max values: 38.732, median values: 0.15325, and quantile values: 0.25 0.048438\n0.50 0.153250\n0.75 0.634370\nName: 1583, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3792534453132075, std values: 4.791868828036797, min values: 2.156e-06, max values: 39.539, median values: 0.19432, and quantile values: 0.25 0.058123\n0.50 0.194320\n0.75 0.807340\nName: 1584, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3049269488515722, std values: 4.802333644050428, min values: 1.1863e-06, max values: 38.739, median values: 0.16076, and quantile values: 0.25 0.056505\n0.50 0.160760\n0.75 0.702285\nName: 1585, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5793298358018868, std values: 5.116135225668233, min values: 3.9372e-06, max values: 40.719, median values: 0.23673, and quantile values: 0.25 0.07460\n0.50 0.23673\n0.75 0.97264\nName: 1586, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4824080003150946, std values: 5.17996542548934, min values: 2.2701e-06, max values: 44.219, median values: 0.21331, and quantile values: 0.25 0.067429\n0.50 0.213310\n0.75 0.822770\nName: 1587, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.278496486101258, std values: 4.831712647234068, min values: 1.5159e-06, max values: 39.491, median values: 0.17232, and quantile values: 0.25 0.050973\n0.50 0.172320\n0.75 0.643900\nName: 1588, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4655175252458554, std values: 4.80735333611644, min values: 1.8874e-08, max values: 40.131, median values: 0.20166, and quantile values: 0.25 0.039120\n0.50 0.201660\n0.75 0.862135\nName: 1589, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6092859218415096, std values: 4.902530288626018, min values: 1.2458e-06, max values: 38.32, median values: 0.27846, and quantile values: 0.25 0.078313\n0.50 0.278460\n0.75 1.144900\nName: 1590, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4118717202691826, std values: 4.789869931079875, min values: 1.1143e-06, max values: 38.409, median values: 0.21877, and quantile values: 0.25 0.061152\n0.50 0.218770\n0.75 0.791730\nName: 1591, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3400169656515724, std values: 4.800819063589209, min values: 2.8274e-06, max values: 39.708, median values: 0.20127, and quantile values: 0.25 0.061423\n0.50 0.201270\n0.75 0.718140\nName: 1592, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4008527206339623, std values: 4.797691218882101, min values: 1.0033e-06, max values: 38.691, median values: 0.18606, and quantile values: 0.25 0.056238\n0.50 0.186060\n0.75 0.821315\nName: 1593, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5622377418415094, std values: 4.813905607604294, min values: 1.4619e-06, max values: 38.039, median values: 0.24652, and quantile values: 0.25 0.067433\n0.50 0.246520\n0.75 1.028165\nName: 1594, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4586374180932076, std values: 4.856276509571964, min values: 9.3782e-07, max values: 38.788, median values: 0.1976, and quantile values: 0.25 0.061782\n0.50 0.197600\n0.75 0.892365\nName: 1595, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3981241531434465, std values: 4.774258954150911, min values: 2.1396e-08, max values: 39.957, median values: 0.16751, and quantile values: 0.25 0.035806\n0.50 0.167510\n0.75 0.711900\nName: 1596, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4533696986962266, std values: 4.776428102058152, min values: 1.315e-06, max values: 38.266, median values: 0.20566, and quantile values: 0.25 0.058371\n0.50 0.205660\n0.75 0.882235\nName: 1597, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5736913158340882, std values: 4.99963968575542, min values: 5.1382e-07, max values: 41.178, median values: 0.25105, and quantile values: 0.25 0.064658\n0.50 0.251050\n0.75 1.044900\nName: 1598, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5538355965918238, std values: 5.030775866327308, min values: 2.4855e-06, max values: 40.131, median values: 0.25579, and quantile values: 0.25 0.072638\n0.50 0.255790\n0.75 0.924955\nName: 1599, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4442087602703773, std values: 4.7690924531097485, min values: 1.6239e-07, max values: 38.044, median values: 0.20257, and quantile values: 0.25 0.055036\n0.50 0.202570\n0.75 0.803560\nName: 1600, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3589576305583018, std values: 4.70332665382492, min values: 2.5177e-07, max values: 37.271, median values: 0.18554, and quantile values: 0.25 0.053045\n0.50 0.185540\n0.75 0.729440\nName: 1601, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5477090246836476, std values: 4.838286116452889, min values: 2.4327e-06, max values: 39.64, median values: 0.28383, and quantile values: 0.25 0.067046\n0.50 0.283830\n0.75 0.981575\nName: 1602, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2911879662755346, std values: 4.586962155933474, min values: 8.8991e-07, max values: 37.469, median values: 0.16767, and quantile values: 0.25 0.058104\n0.50 0.167670\n0.75 0.689805\nName: 1603, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4413258244000002, std values: 5.023256833072685, min values: 2.1785e-06, max values: 41.014, median values: 0.21714, and quantile values: 0.25 0.058938\n0.50 0.217140\n0.75 0.890885\nName: 1604, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.363668604415975, std values: 4.85936924776542, min values: 8.1354e-07, max values: 39.279, median values: 0.18701, and quantile values: 0.25 0.048380\n0.50 0.187010\n0.75 0.731715\nName: 1605, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.496957879839937, std values: 5.294270173559562, min values: 4.0615e-07, max values: 47.841, median values: 0.20988, and quantile values: 0.25 0.054850\n0.50 0.209880\n0.75 0.871835\nName: 1606, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6396489187641508, std values: 5.220682649043331, min values: 4.4443e-06, max values: 41.362, median values: 0.23595, and quantile values: 0.25 0.074001\n0.50 0.235950\n0.75 1.004840\nName: 1607, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.504338365791698, std values: 4.8470787913854885, min values: 7.2348e-07, max values: 38.821, median values: 0.21347, and quantile values: 0.25 0.061634\n0.50 0.213470\n0.75 0.912760\nName: 1608, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5076850999792455, std values: 4.919946701305387, min values: 1.6362e-06, max values: 39.376, median values: 0.22263, and quantile values: 0.25 0.061251\n0.50 0.222630\n0.75 0.936675\nName: 1609, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4618137066973584, std values: 5.056574173902654, min values: 9.7988e-07, max values: 42.275, median values: 0.23169, and quantile values: 0.25 0.067001\n0.50 0.231690\n0.75 0.793055\nName: 1610, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4064776592095722, std values: 5.065737050262043, min values: 4.5022e-08, max values: 43.979, median values: 0.17965, and quantile values: 0.25 0.050388\n0.50 0.179650\n0.75 0.791065\nName: 1611, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6952815808754713, std values: 4.998195796385923, min values: 1.9498e-06, max values: 38.784, median values: 0.26559, and quantile values: 0.25 0.075175\n0.50 0.265590\n0.75 1.116100\nName: 1612, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3793159047767294, std values: 4.8251042585050286, min values: 1.7345e-06, max values: 38.977, median values: 0.23835, and quantile values: 0.25 0.060389\n0.50 0.238350\n0.75 0.818795\nName: 1613, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.381274910945912, std values: 4.5520803421233955, min values: 2.5433e-06, max values: 39.821, median values: 0.20387, and quantile values: 0.25 0.065515\n0.50 0.203870\n0.75 0.827165\nName: 1614, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3845164062962263, std values: 4.759061576843602, min values: 1.1026e-06, max values: 38.775, median values: 0.17686, and quantile values: 0.25 0.056212\n0.50 0.176860\n0.75 0.764390\nName: 1615, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5077573959622206, std values: 5.083726875686864, min values: 1.8693e-08, max values: 43.343, median values: 0.21169, and quantile values: 0.25 0.053426\n0.50 0.211690\n0.75 0.833425\nName: 1616, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5810502196081764, std values: 5.077568943399228, min values: 2.9474e-06, max values: 40.415, median values: 0.24351, and quantile values: 0.25 0.069597\n0.50 0.243510\n0.75 0.965830\nName: 1617, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4152738673461638, std values: 4.82024816030851, min values: 3.1504e-07, max values: 39.082, median values: 0.20517, and quantile values: 0.25 0.053882\n0.50 0.205170\n0.75 0.805605\nName: 1618, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5541785299363522, std values: 5.178513621530909, min values: 7.7998e-07, max values: 45.308, median values: 0.23327, and quantile values: 0.25 0.065913\n0.50 0.233270\n0.75 0.966710\nName: 1619, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4806983763295598, std values: 4.836967110287181, min values: 6.0084e-06, max values: 41.128, median values: 0.23648, and quantile values: 0.25 0.074508\n0.50 0.236480\n0.75 0.827380\nName: 1620, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3061056578471446, std values: 4.752960244478828, min values: 1.0396e-08, max values: 39.135, median values: 0.17112, and quantile values: 0.25 0.038377\n0.50 0.171120\n0.75 0.693225\nName: 1621, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.634620236683648, std values: 5.1147842572432465, min values: 1.1814e-06, max values: 42.405, median values: 0.24621, and quantile values: 0.25 0.073719\n0.50 0.246210\n0.75 1.084650\nName: 1622, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2729014616795282, std values: 4.5657951834863235, min values: 1.6089e-08, max values: 36.5, median values: 0.15296, and quantile values: 0.25 0.035709\n0.50 0.152960\n0.75 0.651720\nName: 1623, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3070838926550945, std values: 4.729525419951325, min values: 1.0406e-07, max values: 38.108, median values: 0.18954, and quantile values: 0.25 0.050442\n0.50 0.189540\n0.75 0.701200\nName: 1624, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6734004687220128, std values: 5.392761837493546, min values: 2.4286e-06, max values: 46.409, median values: 0.27171, and quantile values: 0.25 0.072881\n0.50 0.271710\n0.75 1.063300\nName: 1625, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7361284477213834, std values: 5.197517290026015, min values: 1.0171e-06, max values: 43.031, median values: 0.30171, and quantile values: 0.25 0.086757\n0.50 0.301710\n0.75 1.166150\nName: 1626, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4402468072536478, std values: 4.720112981564422, min values: 4.2593e-07, max values: 37.239, median values: 0.20363, and quantile values: 0.25 0.057297\n0.50 0.203630\n0.75 0.905535\nName: 1627, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.414457941925157, std values: 4.884660632060988, min values: 5.218e-07, max values: 39.92, median values: 0.2101, and quantile values: 0.25 0.059645\n0.50 0.210100\n0.75 0.847640\nName: 1628, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4556684837430187, std values: 4.791923424703076, min values: 6.1674e-07, max values: 37.951, median values: 0.23813, and quantile values: 0.25 0.068215\n0.50 0.238130\n0.75 0.843325\nName: 1629, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1948677243415093, std values: 4.627400095125713, min values: 1.343e-06, max values: 39.08, median values: 0.14776, and quantile values: 0.25 0.047564\n0.50 0.147760\n0.75 0.571770\nName: 1630, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2900232008638994, std values: 4.583865585978322, min values: 3.2506e-07, max values: 37.627, median values: 0.17837, and quantile values: 0.25 0.042179\n0.50 0.178370\n0.75 0.666105\nName: 1631, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4207562951732702, std values: 4.978925951476887, min values: 8.7365e-07, max values: 41.977, median values: 0.17551, and quantile values: 0.25 0.049806\n0.50 0.175510\n0.75 0.790900\nName: 1632, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4419760983835221, std values: 4.8479873558694, min values: 6.5118e-07, max values: 38.794, median values: 0.21197, and quantile values: 0.25 0.058204\n0.50 0.211970\n0.75 0.807435\nName: 1633, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3072412552509431, std values: 4.854421706089715, min values: 1.0927e-06, max values: 39.1, median values: 0.18737, and quantile values: 0.25 0.046102\n0.50 0.187370\n0.75 0.717400\nName: 1634, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4286572253160001, std values: 4.564532950949087, min values: 3.3544e-08, max values: 36.549, median values: 0.19198, and quantile values: 0.25 0.045024\n0.50 0.191980\n0.75 0.907105\nName: 1635, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3923399374849685, std values: 4.684970653893147, min values: 3.8481e-07, max values: 36.96, median values: 0.21511, and quantile values: 0.25 0.056108\n0.50 0.215110\n0.75 0.805395\nName: 1636, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.484958060754717, std values: 4.93390526283685, min values: 1.1151e-06, max values: 39.726, median values: 0.23997, and quantile values: 0.25 0.059998\n0.50 0.239970\n0.75 0.936280\nName: 1637, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.478150226784277, std values: 5.056882865644309, min values: 3.1943e-06, max values: 40.74, median values: 0.22965, and quantile values: 0.25 0.063462\n0.50 0.229650\n0.75 0.851735\nName: 1638, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4694306546518239, std values: 4.741755646764511, min values: 9.9594e-07, max values: 38.455, median values: 0.23395, and quantile values: 0.25 0.064126\n0.50 0.233950\n0.75 0.948690\nName: 1639, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8086672712333336, std values: 5.478288061900531, min values: 5.1229e-06, max values: 45.631, median values: 0.31015, and quantile values: 0.25 0.081339\n0.50 0.310150\n0.75 1.183600\nName: 1640, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3428910628176098, std values: 4.719159561077294, min values: 1.2828e-07, max values: 37.882, median values: 0.16128, and quantile values: 0.25 0.043944\n0.50 0.161280\n0.75 0.737620\nName: 1641, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5040362498498743, std values: 5.017820681864988, min values: 7.7773e-07, max values: 41.688, median values: 0.24977, and quantile values: 0.25 0.066659\n0.50 0.249770\n0.75 0.873500\nName: 1642, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3858971200583021, std values: 4.7574535326988565, min values: 6.2157e-07, max values: 37.604, median values: 0.19456, and quantile values: 0.25 0.055897\n0.50 0.194560\n0.75 0.797235\nName: 1643, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.473280815677214, std values: 4.84770575989362, min values: 3.6277e-08, max values: 39.333, median values: 0.18686, and quantile values: 0.25 0.053166\n0.50 0.186860\n0.75 0.887500\nName: 1644, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9284394409000003, std values: 5.3166948415299125, min values: 9.2861e-06, max values: 40.923, median values: 0.35415, and quantile values: 0.25 0.107485\n0.50 0.354150\n0.75 1.265750\nName: 1645, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.303270756963522, std values: 4.597209882176542, min values: 4.334e-07, max values: 36.803, median values: 0.15494, and quantile values: 0.25 0.044499\n0.50 0.154940\n0.75 0.715005\nName: 1646, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7045229387534593, std values: 5.151594436709216, min values: 4.2796e-06, max values: 40.731, median values: 0.29575, and quantile values: 0.25 0.084377\n0.50 0.295750\n0.75 1.036950\nName: 1647, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3137047984933334, std values: 4.881951323452285, min values: 4.1764e-07, max values: 39.581, median values: 0.15184, and quantile values: 0.25 0.044202\n0.50 0.151840\n0.75 0.755230\nName: 1648, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3929297594247172, std values: 4.895706407140496, min values: 6.3403e-07, max values: 40.308, median values: 0.1917, and quantile values: 0.25 0.061790\n0.50 0.191700\n0.75 0.742255\nName: 1649, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5629303984679246, std values: 5.074392676386157, min values: 2.2723e-06, max values: 41.578, median values: 0.24342, and quantile values: 0.25 0.069260\n0.50 0.243420\n0.75 0.966555\nName: 1650, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4365131191477358, std values: 4.832634886708044, min values: 5.3939e-07, max values: 39.29, median values: 0.22227, and quantile values: 0.25 0.059398\n0.50 0.222270\n0.75 0.801610\nName: 1651, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4280987170295598, std values: 5.1791165792271485, min values: 1.2757e-06, max values: 44.834, median values: 0.17307, and quantile values: 0.25 0.057736\n0.50 0.173070\n0.75 0.798490\nName: 1652, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5074485971452827, std values: 4.662742424493393, min values: 1.0935e-06, max values: 38.633, median values: 0.24555, and quantile values: 0.25 0.067246\n0.50 0.245550\n0.75 0.933475\nName: 1653, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4364916132672958, std values: 4.7184811046942805, min values: 5.2103e-06, max values: 41.269, median values: 0.20197, and quantile values: 0.25 0.061113\n0.50 0.201970\n0.75 0.859880\nName: 1654, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7358682247163522, std values: 5.362081829409631, min values: 1.1318e-06, max values: 46.588, median values: 0.3035, and quantile values: 0.25 0.07970\n0.50 0.30350\n0.75 1.18585\nName: 1655, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5587978681125785, std values: 4.975084487136191, min values: 3.5805e-06, max values: 40.082, median values: 0.2271, and quantile values: 0.25 0.069581\n0.50 0.227100\n0.75 0.977290\nName: 1656, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5440151711520753, std values: 4.969096322804193, min values: 7.5968e-07, max values: 40.764, median values: 0.25005, and quantile values: 0.25 0.06432\n0.50 0.25005\n0.75 1.01400\nName: 1657, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.337459977762264, std values: 4.691215312036541, min values: 1.3139e-06, max values: 39.047, median values: 0.1828, and quantile values: 0.25 0.050014\n0.50 0.182800\n0.75 0.784125\nName: 1658, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1943291417880502, std values: 4.71327745312428, min values: 1.1427e-06, max values: 38.205, median values: 0.1477, and quantile values: 0.25 0.046634\n0.50 0.147700\n0.75 0.593565\nName: 1659, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4298622053900565, std values: 4.875797288043036, min values: 1.7557e-08, max values: 41.115, median values: 0.15212, and quantile values: 0.25 0.036144\n0.50 0.152120\n0.75 0.799170\nName: 1660, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4540224576232705, std values: 4.807282122727365, min values: 1.8104e-06, max values: 38.695, median values: 0.22771, and quantile values: 0.25 0.069716\n0.50 0.227710\n0.75 0.896105\nName: 1661, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6949378263547168, std values: 5.244979685465801, min values: 1.0391e-06, max values: 44.309, median values: 0.26884, and quantile values: 0.25 0.076796\n0.50 0.268840\n0.75 1.167700\nName: 1662, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4293596504301886, std values: 5.083564008680081, min values: 2.865e-06, max values: 42.954, median values: 0.22598, and quantile values: 0.25 0.068302\n0.50 0.225980\n0.75 0.796035\nName: 1663, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4165518716462768, std values: 4.846814115254623, min values: 2.4138e-08, max values: 40.018, median values: 0.18798, and quantile values: 0.25 0.047925\n0.50 0.187980\n0.75 0.781615\nName: 1664, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.352762251318302, std values: 4.922338397190151, min values: 6.4281e-07, max values: 41.202, median values: 0.19218, and quantile values: 0.25 0.050035\n0.50 0.192180\n0.75 0.794270\nName: 1665, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3080357220426415, std values: 4.769985491545816, min values: 6.0538e-07, max values: 38.758, median values: 0.16136, and quantile values: 0.25 0.046789\n0.50 0.161360\n0.75 0.684140\nName: 1666, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4349604971169811, std values: 4.833465595050409, min values: 1.4176e-06, max values: 39.417, median values: 0.19541, and quantile values: 0.25 0.059709\n0.50 0.195410\n0.75 0.860440\nName: 1667, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.33792789621239, std values: 4.692467777525187, min values: 6.2467e-07, max values: 39.042, median values: 0.1823, and quantile values: 0.25 0.053891\n0.50 0.182300\n0.75 0.772620\nName: 1668, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2657043689050314, std values: 4.687092751047667, min values: 1.8459e-06, max values: 39.037, median values: 0.18016, and quantile values: 0.25 0.049980\n0.50 0.180160\n0.75 0.698565\nName: 1669, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8238225800597487, std values: 5.364952600167244, min values: 2.0811e-06, max values: 44.937, median values: 0.30899, and quantile values: 0.25 0.091151\n0.50 0.308990\n0.75 1.252850\nName: 1670, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.584687550491195, std values: 4.9468201597908905, min values: 1.3178e-06, max values: 38.905, median values: 0.26213, and quantile values: 0.25 0.066177\n0.50 0.262130\n0.75 1.071850\nName: 1671, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3450364705712579, std values: 5.0224282001621745, min values: 6.1293e-07, max values: 44.087, median values: 0.17076, and quantile values: 0.25 0.045815\n0.50 0.170760\n0.75 0.716080\nName: 1672, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4068740598798744, std values: 4.88303451871055, min values: 1.4279e-06, max values: 39.311, median values: 0.20329, and quantile values: 0.25 0.048722\n0.50 0.203290\n0.75 0.793715\nName: 1673, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1560736053722012, std values: 4.398019099711087, min values: 2.3118e-07, max values: 36.869, median values: 0.14088, and quantile values: 0.25 0.045379\n0.50 0.140880\n0.75 0.601150\nName: 1674, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1924634205453524, std values: 4.75655689199854, min values: 8.8811e-08, max values: 39.634, median values: 0.1347, and quantile values: 0.25 0.037283\n0.50 0.134700\n0.75 0.577755\nName: 1675, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4690482482691825, std values: 5.0964590755116, min values: 2.0881e-06, max values: 42.263, median values: 0.22459, and quantile values: 0.25 0.064566\n0.50 0.224590\n0.75 0.857940\nName: 1676, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8786511183842767, std values: 5.031507150283807, min values: 1.1296e-06, max values: 37.605, median values: 0.34583, and quantile values: 0.25 0.085475\n0.50 0.345830\n0.75 1.395500\nName: 1677, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.200118533768931, std values: 4.615902049922161, min values: 4.9426e-07, max values: 38.247, median values: 0.15258, and quantile values: 0.25 0.046899\n0.50 0.152580\n0.75 0.628680\nName: 1678, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6526267848176102, std values: 5.13355911411226, min values: 4.7389e-06, max values: 40.363, median values: 0.27057, and quantile values: 0.25 0.078459\n0.50 0.270570\n0.75 1.014200\nName: 1679, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6357081030352199, std values: 4.9749611627672214, min values: 2.2392e-06, max values: 39.492, median values: 0.26041, and quantile values: 0.25 0.075286\n0.50 0.260410\n0.75 1.092450\nName: 1680, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4188096248660378, std values: 4.75843916520435, min values: 1.3817e-06, max values: 38.942, median values: 0.22052, and quantile values: 0.25 0.062372\n0.50 0.220520\n0.75 0.872835\nName: 1681, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.440305775914088, std values: 4.745203571158868, min values: 4.6074e-07, max values: 37.833, median values: 0.18971, and quantile values: 0.25 0.056717\n0.50 0.189710\n0.75 0.893390\nName: 1682, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4038681969213835, std values: 4.886677019738781, min values: 1.714e-06, max values: 39.343, median values: 0.21674, and quantile values: 0.25 0.056736\n0.50 0.216740\n0.75 0.824270\nName: 1683, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6205193699327043, std values: 5.046366691235711, min values: 3.6088e-06, max values: 39.629, median values: 0.2642, and quantile values: 0.25 0.075457\n0.50 0.264200\n0.75 1.037300\nName: 1684, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4227606754062896, std values: 4.8240764980149065, min values: 1.4168e-06, max values: 38.755, median values: 0.2083, and quantile values: 0.25 0.058786\n0.50 0.208300\n0.75 0.878085\nName: 1685, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4670415612924528, std values: 5.068071415720978, min values: 1.3294e-06, max values: 42.311, median values: 0.21052, and quantile values: 0.25 0.058054\n0.50 0.210520\n0.75 0.904495\nName: 1686, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4726345589132077, std values: 4.971218187945698, min values: 3.2716e-06, max values: 40.523, median values: 0.22469, and quantile values: 0.25 0.064847\n0.50 0.224690\n0.75 0.881380\nName: 1687, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4233873168922642, std values: 4.86149544356934, min values: 1.1755e-07, max values: 40.733, median values: 0.19016, and quantile values: 0.25 0.054489\n0.50 0.190160\n0.75 0.780630\nName: 1688, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2628583170622643, std values: 4.746549404478958, min values: 2.7974e-06, max values: 40.209, median values: 0.18208, and quantile values: 0.25 0.049011\n0.50 0.182080\n0.75 0.567955\nName: 1689, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6299918755899372, std values: 5.061502983443666, min values: 1.7157e-06, max values: 40.656, median values: 0.27329, and quantile values: 0.25 0.069603\n0.50 0.273290\n0.75 1.111350\nName: 1690, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4532625323795032, std values: 4.840083236781528, min values: 2.2201e-08, max values: 39.322, median values: 0.18491, and quantile values: 0.25 0.051722\n0.50 0.184910\n0.75 0.874440\nName: 1691, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5368710890056603, std values: 5.095485713500816, min values: 1.5239e-06, max values: 42.68, median values: 0.22063, and quantile values: 0.25 0.062515\n0.50 0.220630\n0.75 0.969970\nName: 1692, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4899857075538996, std values: 4.725578461626392, min values: 6.9147e-07, max values: 37.928, median values: 0.20646, and quantile values: 0.25 0.059699\n0.50 0.206460\n0.75 0.906860\nName: 1693, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3543934840684904, std values: 4.861537276887033, min values: 4.7999e-07, max values: 39.912, median values: 0.17376, and quantile values: 0.25 0.055322\n0.50 0.173760\n0.75 0.722870\nName: 1694, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7183581403613837, std values: 5.114084186837179, min values: 2.4546e-07, max values: 41.619, median values: 0.28966, and quantile values: 0.25 0.066046\n0.50 0.289660\n0.75 1.169250\nName: 1695, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3289891291610063, std values: 4.900987999402297, min values: 1.6053e-06, max values: 40.43, median values: 0.18917, and quantile values: 0.25 0.056347\n0.50 0.189170\n0.75 0.671460\nName: 1696, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5773214547679244, std values: 4.983908864211132, min values: 1.5215e-06, max values: 39.764, median values: 0.2586, and quantile values: 0.25 0.068895\n0.50 0.258600\n0.75 1.078950\nName: 1697, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5571019055327044, std values: 5.273900466934278, min values: 4.4579e-06, max values: 43.906, median values: 0.24797, and quantile values: 0.25 0.061431\n0.50 0.247970\n0.75 0.894560\nName: 1698, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5388327371761008, std values: 4.906896822525431, min values: 2.6448e-06, max values: 39.225, median values: 0.24525, and quantile values: 0.25 0.071372\n0.50 0.245250\n0.75 0.952450\nName: 1699, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.67139871526327, std values: 5.042069424250016, min values: 6.4526e-07, max values: 40.81, median values: 0.27614, and quantile values: 0.25 0.065831\n0.50 0.276140\n0.75 1.138650\nName: 1700, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7121094983522012, std values: 5.043367092586576, min values: 1.5979e-06, max values: 39.352, median values: 0.27778, and quantile values: 0.25 0.083347\n0.50 0.277780\n0.75 1.197250\nName: 1701, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3606698806660378, std values: 4.8779592891429395, min values: 1.2169e-06, max values: 39.409, median values: 0.19031, and quantile values: 0.25 0.059380\n0.50 0.190310\n0.75 0.775535\nName: 1702, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5651882093937108, std values: 4.851310258908338, min values: 2.652e-06, max values: 39.004, median values: 0.27945, and quantile values: 0.25 0.071396\n0.50 0.279450\n0.75 1.077400\nName: 1703, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3705424808955975, std values: 4.807767256096075, min values: 1.7384e-06, max values: 39.405, median values: 0.19121, and quantile values: 0.25 0.057330\n0.50 0.191210\n0.75 0.800635\nName: 1704, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3191879939662894, std values: 4.783356976052971, min values: 9.2084e-07, max values: 39.09, median values: 0.15507, and quantile values: 0.25 0.055279\n0.50 0.155070\n0.75 0.789655\nName: 1705, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4292928285558488, std values: 4.73285784345391, min values: 5.0868e-07, max values: 37.525, median values: 0.20877, and quantile values: 0.25 0.056839\n0.50 0.208770\n0.75 0.839305\nName: 1706, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2180255702588616, std values: 4.59222930242186, min values: 4.7649e-08, max values: 36.847, median values: 0.14859, and quantile values: 0.25 0.039917\n0.50 0.148590\n0.75 0.651905\nName: 1707, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4171856838893708, std values: 4.903841203755521, min values: 7.4681e-07, max values: 40.187, median values: 0.18982, and quantile values: 0.25 0.050011\n0.50 0.189820\n0.75 0.807430\nName: 1708, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5324945250600002, std values: 5.072061385838074, min values: 8.5344e-07, max values: 42.282, median values: 0.23935, and quantile values: 0.25 0.061446\n0.50 0.239350\n0.75 0.943265\nName: 1709, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.425105807710692, std values: 4.803372975427243, min values: 1.8009e-06, max values: 40.228, median values: 0.18789, and quantile values: 0.25 0.059695\n0.50 0.187890\n0.75 0.817315\nName: 1710, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2920816641444905, std values: 4.804386339289939, min values: 1.9174e-08, max values: 39.502, median values: 0.16065, and quantile values: 0.25 0.047040\n0.50 0.160650\n0.75 0.709025\nName: 1711, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4331011163185536, std values: 4.968012727827126, min values: 1.0424e-07, max values: 42.722, median values: 0.19451, and quantile values: 0.25 0.043572\n0.50 0.194510\n0.75 0.783450\nName: 1712, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5922381708867925, std values: 5.122804296741358, min values: 1.62e-06, max values: 42.216, median values: 0.25862, and quantile values: 0.25 0.068954\n0.50 0.258620\n0.75 1.060700\nName: 1713, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5408111005701888, std values: 5.074037464984161, min values: 8.1946e-07, max values: 41.783, median values: 0.22712, and quantile values: 0.25 0.068204\n0.50 0.227120\n0.75 1.005700\nName: 1714, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4192458328988677, std values: 4.96555922775315, min values: 2.9512e-07, max values: 42.296, median values: 0.17387, and quantile values: 0.25 0.052013\n0.50 0.173870\n0.75 0.792235\nName: 1715, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7170745181955975, std values: 5.2624618855945196, min values: 2.8765e-06, max values: 42.899, median values: 0.30643, and quantile values: 0.25 0.079278\n0.50 0.306430\n0.75 1.222450\nName: 1716, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.500718958959748, std values: 4.9132658661329724, min values: 1.9015e-06, max values: 39.138, median values: 0.23515, and quantile values: 0.25 0.066734\n0.50 0.235150\n0.75 0.908080\nName: 1717, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5159439641559749, std values: 5.047136469503771, min values: 1.8711e-06, max values: 41.71, median values: 0.23107, and quantile values: 0.25 0.071049\n0.50 0.231070\n0.75 0.936050\nName: 1718, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3774973540990567, std values: 4.7412351244259225, min values: 5.5605e-07, max values: 37.748, median values: 0.20485, and quantile values: 0.25 0.053922\n0.50 0.204850\n0.75 0.788455\nName: 1719, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.701224602883648, std values: 5.131203620530474, min values: 1.5545e-06, max values: 40.518, median values: 0.26486, and quantile values: 0.25 0.079123\n0.50 0.264860\n0.75 1.137450\nName: 1720, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.473107969483019, std values: 5.03026931383384, min values: 4.0807e-06, max values: 40.243, median values: 0.22336, and quantile values: 0.25 0.068638\n0.50 0.223360\n0.75 0.845210\nName: 1721, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.629015342255346, std values: 5.100019052514151, min values: 1.9327e-06, max values: 41.747, median values: 0.263, and quantile values: 0.25 0.081932\n0.50 0.263000\n0.75 1.078765\nName: 1722, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.404440925170629, std values: 4.79440842121145, min values: 5.8193e-07, max values: 38.183, median values: 0.1831, and quantile values: 0.25 0.055516\n0.50 0.183100\n0.75 0.871115\nName: 1723, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5821487482375471, std values: 4.991536067070654, min values: 6.7367e-07, max values: 41.091, median values: 0.25189, and quantile values: 0.25 0.068822\n0.50 0.251890\n0.75 1.095400\nName: 1724, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5250973078182388, std values: 4.817438134245966, min values: 1.047e-06, max values: 38.334, median values: 0.24455, and quantile values: 0.25 0.065418\n0.50 0.244550\n0.75 1.012370\nName: 1725, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6458977944762263, std values: 5.016890839396194, min values: 4.5972e-07, max values: 40.607, median values: 0.27056, and quantile values: 0.25 0.064458\n0.50 0.270560\n0.75 1.084950\nName: 1726, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6296162220144654, std values: 5.19743700017615, min values: 5.5037e-06, max values: 40.922, median values: 0.24884, and quantile values: 0.25 0.079223\n0.50 0.248840\n0.75 1.009850\nName: 1727, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5465208013262892, std values: 5.070568343620993, min values: 6.4188e-07, max values: 42.73, median values: 0.23292, and quantile values: 0.25 0.067284\n0.50 0.232920\n0.75 0.961220\nName: 1728, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2362674930832707, std values: 4.692973685205442, min values: 5.4944e-07, max values: 37.776, median values: 0.1759, and quantile values: 0.25 0.051816\n0.50 0.175900\n0.75 0.654585\nName: 1729, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.397501834113082, std values: 4.648509323024641, min values: 7.9568e-07, max values: 38.78, median values: 0.18964, and quantile values: 0.25 0.061499\n0.50 0.189640\n0.75 0.854665\nName: 1730, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2046755081308176, std values: 4.523917540620631, min values: 1.9991e-06, max values: 40.061, median values: 0.14405, and quantile values: 0.25 0.044086\n0.50 0.144050\n0.75 0.614100\nName: 1731, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3112291687345912, std values: 4.985068095598053, min values: 1.0049e-06, max values: 42.192, median values: 0.15101, and quantile values: 0.25 0.046929\n0.50 0.151010\n0.75 0.692335\nName: 1732, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7468287511308178, std values: 5.161616827618044, min values: 4.5834e-06, max values: 39.858, median values: 0.27917, and quantile values: 0.25 0.089948\n0.50 0.279170\n0.75 1.162200\nName: 1733, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6496967361465407, std values: 5.116156964650293, min values: 1.2907e-06, max values: 42.033, median values: 0.25281, and quantile values: 0.25 0.073285\n0.50 0.252810\n0.75 1.096000\nName: 1734, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3743318872547925, std values: 4.639773845539875, min values: 1.6462e-08, max values: 36.704, median values: 0.19103, and quantile values: 0.25 0.047241\n0.50 0.191030\n0.75 0.803755\nName: 1735, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5099931210811322, std values: 5.090874076860759, min values: 6.259e-07, max values: 41.862, median values: 0.22574, and quantile values: 0.25 0.064196\n0.50 0.225740\n0.75 0.861580\nName: 1736, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3353935018680503, std values: 4.632634408666591, min values: 4.3472e-07, max values: 38.455, median values: 0.20234, and quantile values: 0.25 0.050665\n0.50 0.202340\n0.75 0.789180\nName: 1737, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6294672376514465, std values: 4.968296522924767, min values: 9.1638e-07, max values: 39.302, median values: 0.3253, and quantile values: 0.25 0.076029\n0.50 0.325300\n0.75 1.130850\nName: 1738, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.555454339482453, std values: 5.040550299287052, min values: 8.4001e-07, max values: 42.1, median values: 0.2173, and quantile values: 0.25 0.070752\n0.50 0.217300\n0.75 0.967075\nName: 1739, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4207432706402516, std values: 5.065943163359963, min values: 5.2621e-06, max values: 41.185, median values: 0.20286, and quantile values: 0.25 0.062027\n0.50 0.202860\n0.75 0.723220\nName: 1740, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4736371670509434, std values: 5.180800346209831, min values: 1.1872e-06, max values: 44.764, median values: 0.23813, and quantile values: 0.25 0.065194\n0.50 0.238130\n0.75 0.764460\nName: 1741, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3606421803641509, std values: 4.9287670343201135, min values: 2.2738e-06, max values: 39.759, median values: 0.17085, and quantile values: 0.25 0.054664\n0.50 0.170850\n0.75 0.732380\nName: 1742, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.720327632796226, std values: 5.205342309012451, min values: 1.4978e-06, max values: 42.922, median values: 0.26884, and quantile values: 0.25 0.076207\n0.50 0.268840\n0.75 1.157200\nName: 1743, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6630298393238991, std values: 5.052659836737757, min values: 1.4132e-06, max values: 40.231, median values: 0.28432, and quantile values: 0.25 0.075342\n0.50 0.284320\n0.75 1.127450\nName: 1744, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6437893012698113, std values: 4.945997989283967, min values: 2.7087e-06, max values: 39.185, median values: 0.26549, and quantile values: 0.25 0.080378\n0.50 0.265490\n0.75 1.005865\nName: 1745, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.617374672571126, std values: 5.256527215016654, min values: 4.1609e-08, max values: 46.381, median values: 0.22896, and quantile values: 0.25 0.057817\n0.50 0.228960\n0.75 1.057300\nName: 1746, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6076801647188679, std values: 5.414563313201236, min values: 3.8465e-06, max values: 46.942, median values: 0.23547, and quantile values: 0.25 0.070045\n0.50 0.235470\n0.75 0.934450\nName: 1747, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5480219729012579, std values: 4.986898220394682, min values: 2.4238e-06, max values: 39.732, median values: 0.23692, and quantile values: 0.25 0.068510\n0.50 0.236920\n0.75 0.971475\nName: 1748, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4656546662603773, std values: 4.834833444996607, min values: 1.7118e-06, max values: 38.465, median values: 0.24227, and quantile values: 0.25 0.068379\n0.50 0.242270\n0.75 0.881370\nName: 1749, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3879702962584277, std values: 4.746723375822999, min values: 8.7759e-07, max values: 37.635, median values: 0.17788, and quantile values: 0.25 0.061704\n0.50 0.177880\n0.75 0.829250\nName: 1750, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6164276360920757, std values: 4.796334327202756, min values: 3.5384e-07, max values: 36.993, median values: 0.26298, and quantile values: 0.25 0.06448\n0.50 0.26298\n0.75 1.08020\nName: 1751, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5306208709596225, std values: 4.790868665479612, min values: 3.9868e-07, max values: 38.014, median values: 0.25174, and quantile values: 0.25 0.065915\n0.50 0.251740\n0.75 1.036500\nName: 1752, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4620347365367297, std values: 5.0318249653879965, min values: 4.6194e-07, max values: 42.101, median values: 0.21517, and quantile values: 0.25 0.051857\n0.50 0.215170\n0.75 0.797530\nName: 1753, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.360384877071478, std values: 4.8630646140561025, min values: 1.561e-08, max values: 42.466, median values: 0.16478, and quantile values: 0.25 0.035044\n0.50 0.164780\n0.75 0.735850\nName: 1754, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4522946098767295, std values: 4.935257010421107, min values: 1.118e-06, max values: 40.618, median values: 0.25388, and quantile values: 0.25 0.076200\n0.50 0.253880\n0.75 0.801445\nName: 1755, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6733133023679245, std values: 5.066340192278117, min values: 1.4577e-06, max values: 40.751, median values: 0.30686, and quantile values: 0.25 0.072224\n0.50 0.306860\n0.75 1.140500\nName: 1756, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.653058112347799, std values: 5.125891204315236, min values: 2.1073e-06, max values: 41.84, median values: 0.27662, and quantile values: 0.25 0.078105\n0.50 0.276620\n0.75 1.053400\nName: 1757, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5460487678603774, std values: 5.0096199053132535, min values: 1.4241e-06, max values: 40.453, median values: 0.24071, and quantile values: 0.25 0.068556\n0.50 0.240710\n0.75 0.965150\nName: 1758, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4988153180616353, std values: 4.6257963798955375, min values: 2.1116e-06, max values: 38.766, median values: 0.2652, and quantile values: 0.25 0.076964\n0.50 0.265200\n0.75 1.016460\nName: 1759, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2729438269634592, std values: 4.5699382822769214, min values: 3.0849e-07, max values: 36.433, median values: 0.18469, and quantile values: 0.25 0.049055\n0.50 0.184690\n0.75 0.741870\nName: 1760, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4326331069226417, std values: 4.755458516718097, min values: 4.7385e-06, max values: 41.292, median values: 0.21751, and quantile values: 0.25 0.064589\n0.50 0.217510\n0.75 0.822870\nName: 1761, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3988780780820753, std values: 4.724089862230514, min values: 5.1215e-07, max values: 37.854, median values: 0.21555, and quantile values: 0.25 0.064184\n0.50 0.215550\n0.75 0.833255\nName: 1762, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6998440024880503, std values: 5.0733815898686965, min values: 4.2089e-06, max values: 39.291, median values: 0.2855, and quantile values: 0.25 0.089898\n0.50 0.285500\n0.75 1.107900\nName: 1763, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4321486711098428, std values: 4.847933107401334, min values: 2.7585e-08, max values: 40.312, median values: 0.18076, and quantile values: 0.25 0.050514\n0.50 0.180760\n0.75 0.848835\nName: 1764, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6685059959205661, std values: 5.02985669190235, min values: 7.8427e-07, max values: 40.748, median values: 0.30368, and quantile values: 0.25 0.078195\n0.50 0.303680\n0.75 1.143100\nName: 1765, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3152264836113834, std values: 4.921899207749096, min values: 1.3577e-07, max values: 42.396, median values: 0.17185, and quantile values: 0.25 0.042092\n0.50 0.171850\n0.75 0.692860\nName: 1766, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.103343357938365, std values: 4.542502397051264, min values: 1.1388e-06, max values: 38.502, median values: 0.12158, and quantile values: 0.25 0.037997\n0.50 0.121580\n0.75 0.511685\nName: 1767, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3181277876513837, std values: 4.895624847383171, min values: 4.2527e-07, max values: 40.694, median values: 0.17173, and quantile values: 0.25 0.043459\n0.50 0.171730\n0.75 0.674200\nName: 1768, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5387465609981132, std values: 5.142051564107423, min values: 2.938e-06, max values: 41.668, median values: 0.23146, and quantile values: 0.25 0.071102\n0.50 0.231460\n0.75 0.907110\nName: 1769, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5010228456525159, std values: 4.703164759641876, min values: 2.0185e-07, max values: 36.631, median values: 0.22133, and quantile values: 0.25 0.049708\n0.50 0.221330\n0.75 0.910950\nName: 1770, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6133541868742138, std values: 5.121716554897406, min values: 3.7235e-06, max values: 40.795, median values: 0.26582, and quantile values: 0.25 0.072676\n0.50 0.265820\n0.75 0.943000\nName: 1771, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.30824488060522, std values: 4.554713224041153, min values: 9.9123e-07, max values: 38.525, median values: 0.2028, and quantile values: 0.25 0.056785\n0.50 0.202800\n0.75 0.728865\nName: 1772, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4477187394716982, std values: 5.155815994738965, min values: 2.3751e-06, max values: 43.396, median values: 0.20066, and quantile values: 0.25 0.052036\n0.50 0.200660\n0.75 0.845345\nName: 1773, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4110050260896225, std values: 4.705862650804471, min values: 9.8235e-07, max values: 37.581, median values: 0.20375, and quantile values: 0.25 0.055833\n0.50 0.203750\n0.75 0.863065\nName: 1774, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3575604553267298, std values: 4.807595066755227, min values: 4.8279e-07, max values: 37.473, median values: 0.15983, and quantile values: 0.25 0.040812\n0.50 0.159830\n0.75 0.689595\nName: 1775, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4983561699696666, std values: 4.98721910803269, min values: 1.8777e-08, max values: 41.799, median values: 0.18938, and quantile values: 0.25 0.052734\n0.50 0.189380\n0.75 0.881065\nName: 1776, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5119943520371069, std values: 5.137341829291696, min values: 2.0369e-06, max values: 42.927, median values: 0.1996, and quantile values: 0.25 0.06484\n0.50 0.19960\n0.75 0.92143\nName: 1777, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6150525241805032, std values: 5.044546227276708, min values: 1.597e-06, max values: 40.176, median values: 0.25989, and quantile values: 0.25 0.069565\n0.50 0.259890\n0.75 1.113400\nName: 1778, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.238820024738176, std values: 4.70861641034214, min values: 4.7887e-07, max values: 38.051, median values: 0.14881, and quantile values: 0.25 0.045982\n0.50 0.148810\n0.75 0.639375\nName: 1779, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5644920203476103, std values: 4.8711680205938865, min values: 3.7317e-07, max values: 38.958, median values: 0.28048, and quantile values: 0.25 0.062116\n0.50 0.280480\n0.75 1.025900\nName: 1780, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4908775100402516, std values: 4.955891914772366, min values: 3.7901e-06, max values: 40.371, median values: 0.22745, and quantile values: 0.25 0.074685\n0.50 0.227450\n0.75 0.844145\nName: 1781, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.228730051671069, std values: 4.793204054282527, min values: 1.6461e-06, max values: 39.876, median values: 0.15918, and quantile values: 0.25 0.05090\n0.50 0.15918\n0.75 0.58463\nName: 1782, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4533361489468555, std values: 4.774299531637442, min values: 2.032e-08, max values: 39.093, median values: 0.21919, and quantile values: 0.25 0.04726\n0.50 0.21919\n0.75 0.81700\nName: 1783, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5252513002245283, std values: 5.165133553525374, min values: 5.736e-06, max values: 41.311, median values: 0.24117, and quantile values: 0.25 0.068682\n0.50 0.241170\n0.75 0.829525\nName: 1784, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3616482382751574, std values: 4.598355674403332, min values: 2.3315e-07, max values: 37.493, median values: 0.18606, and quantile values: 0.25 0.052684\n0.50 0.186060\n0.75 0.776325\nName: 1785, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1162802505861007, std values: 4.58529570465979, min values: 1.0897e-07, max values: 36.991, median values: 0.12211, and quantile values: 0.25 0.031510\n0.50 0.122110\n0.75 0.513005\nName: 1786, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3284242494066603, std values: 4.892226517688711, min values: 1.6529e-08, max values: 41.702, median values: 0.15173, and quantile values: 0.25 0.034873\n0.50 0.151730\n0.75 0.639285\nName: 1787, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.378900078874843, std values: 4.800426366507828, min values: 1.3174e-06, max values: 38.288, median values: 0.20153, and quantile values: 0.25 0.061361\n0.50 0.201530\n0.75 0.809690\nName: 1788, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3181670055348553, std values: 4.7742862966922734, min values: 1.9942e-08, max values: 39.278, median values: 0.16562, and quantile values: 0.25 0.047373\n0.50 0.165620\n0.75 0.702880\nName: 1789, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5636657433464778, std values: 5.038237450726832, min values: 4.6879e-07, max values: 41.941, median values: 0.24742, and quantile values: 0.25 0.066457\n0.50 0.247420\n0.75 1.023100\nName: 1790, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.317097102350943, std values: 4.533733329120075, min values: 3.8362e-07, max values: 36.837, median values: 0.15763, and quantile values: 0.25 0.044338\n0.50 0.157630\n0.75 0.761615\nName: 1791, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.434570635002453, std values: 4.89956577252961, min values: 3.3569e-07, max values: 40.205, median values: 0.18106, and quantile values: 0.25 0.054406\n0.50 0.181060\n0.75 0.791000\nName: 1792, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1899387961191195, std values: 4.5204514349362785, min values: 5.4634e-07, max values: 37.413, median values: 0.12984, and quantile values: 0.25 0.041943\n0.50 0.129840\n0.75 0.596615\nName: 1793, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3401794898584907, std values: 4.860005183106962, min values: 1.3471e-06, max values: 39.441, median values: 0.17075, and quantile values: 0.25 0.050122\n0.50 0.170750\n0.75 0.711080\nName: 1794, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4173599308308176, std values: 4.761396664422655, min values: 1.4157e-06, max values: 38.693, median values: 0.19029, and quantile values: 0.25 0.056391\n0.50 0.190290\n0.75 0.860475\nName: 1795, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3379626270213836, std values: 4.836793696438597, min values: 1.3497e-06, max values: 39.637, median values: 0.18071, and quantile values: 0.25 0.048044\n0.50 0.180710\n0.75 0.763805\nName: 1796, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3500463776237106, std values: 4.7437806099384225, min values: 6.8167e-07, max values: 38.392, median values: 0.20822, and quantile values: 0.25 0.057416\n0.50 0.208220\n0.75 0.747860\nName: 1797, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5515648691201258, std values: 4.8977854891459955, min values: 1.1733e-06, max values: 38.773, median values: 0.23894, and quantile values: 0.25 0.065312\n0.50 0.238940\n0.75 1.037610\nName: 1798, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2819590221713082, std values: 4.847387434926921, min values: 7.7848e-08, max values: 40.989, median values: 0.13698, and quantile values: 0.25 0.039803\n0.50 0.136980\n0.75 0.604550\nName: 1799, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6303918988138366, std values: 5.261034022837887, min values: 3.7394e-06, max values: 43.889, median values: 0.25454, and quantile values: 0.25 0.078991\n0.50 0.254540\n0.75 0.996155\nName: 1800, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5340097093389937, std values: 4.9838272324089825, min values: 1.877e-06, max values: 39.527, median values: 0.25008, and quantile values: 0.25 0.071817\n0.50 0.250080\n0.75 0.971505\nName: 1801, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5600078169496854, std values: 5.135785731257752, min values: 3.1199e-06, max values: 41.402, median values: 0.2537, and quantile values: 0.25 0.076657\n0.50 0.253700\n0.75 0.922910\nName: 1802, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.384090362034151, std values: 4.732189044188701, min values: 6.6583e-07, max values: 37.632, median values: 0.17552, and quantile values: 0.25 0.052527\n0.50 0.175520\n0.75 0.825695\nName: 1803, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3927697613708805, std values: 4.807115028860596, min values: 9.8267e-07, max values: 38.453, median values: 0.21329, and quantile values: 0.25 0.059826\n0.50 0.213290\n0.75 0.765650\nName: 1804, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5792792540955976, std values: 5.039055599638146, min values: 1.6942e-06, max values: 39.98, median values: 0.24353, and quantile values: 0.25 0.071210\n0.50 0.243530\n0.75 1.018285\nName: 1805, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.510416087308176, std values: 5.033027160969909, min values: 3.719e-06, max values: 40.376, median values: 0.21384, and quantile values: 0.25 0.071364\n0.50 0.213840\n0.75 0.837105\nName: 1806, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6046949836138364, std values: 5.224588313420348, min values: 3.043e-06, max values: 42.664, median values: 0.27805, and quantile values: 0.25 0.070009\n0.50 0.278050\n0.75 1.000310\nName: 1807, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4702084333541507, std values: 4.957626290577052, min values: 3.6631e-07, max values: 41.21, median values: 0.23092, and quantile values: 0.25 0.062372\n0.50 0.230920\n0.75 0.868680\nName: 1808, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5141741997792453, std values: 4.862530042068488, min values: 2.0006e-06, max values: 39.023, median values: 0.25637, and quantile values: 0.25 0.065067\n0.50 0.256370\n0.75 0.938175\nName: 1809, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6277740658672957, std values: 5.254788976488712, min values: 2.6709e-06, max values: 44.089, median values: 0.25874, and quantile values: 0.25 0.069244\n0.50 0.258740\n0.75 1.041500\nName: 1810, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5857281939861636, std values: 4.965250574325737, min values: 1.7726e-06, max values: 39.372, median values: 0.25555, and quantile values: 0.25 0.072147\n0.50 0.255550\n0.75 0.971290\nName: 1811, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3791494990911948, std values: 4.905496878833767, min values: 2.1114e-06, max values: 39.528, median values: 0.18064, and quantile values: 0.25 0.054950\n0.50 0.180640\n0.75 0.778035\nName: 1812, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.734291232761635, std values: 5.215206277107107, min values: 3.7942e-06, max values: 40.859, median values: 0.29015, and quantile values: 0.25 0.075668\n0.50 0.290150\n0.75 1.119900\nName: 1813, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.238804949361635, std values: 4.697422395131765, min values: 3.8502e-06, max values: 40.331, median values: 0.15646, and quantile values: 0.25 0.047643\n0.50 0.156460\n0.75 0.521480\nName: 1814, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3565474696628932, std values: 4.841101110606276, min values: 1.9683e-06, max values: 39.803, median values: 0.17211, and quantile values: 0.25 0.054497\n0.50 0.172110\n0.75 0.753805\nName: 1815, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5811484470968553, std values: 5.027662085145805, min values: 3.0765e-06, max values: 40.31, median values: 0.2667, and quantile values: 0.25 0.073624\n0.50 0.266700\n0.75 0.978020\nName: 1816, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6313446821359747, std values: 5.31419784668167, min values: 4.7272e-07, max values: 47.204, median values: 0.23796, and quantile values: 0.25 0.07382\n0.50 0.23796\n0.75 1.03735\nName: 1817, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4034387604754717, std values: 4.729758005766188, min values: 5.458e-07, max values: 37.613, median values: 0.2032, and quantile values: 0.25 0.051717\n0.50 0.203200\n0.75 0.780295\nName: 1818, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4051953219691824, std values: 4.793238850160531, min values: 1.2598e-06, max values: 38.244, median values: 0.21834, and quantile values: 0.25 0.060296\n0.50 0.218340\n0.75 0.836020\nName: 1819, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4028099385820127, std values: 4.870298707210496, min values: 5.0894e-07, max values: 39.735, median values: 0.19075, and quantile values: 0.25 0.055631\n0.50 0.190750\n0.75 0.790325\nName: 1820, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3727237446644653, std values: 4.7378599330900295, min values: 1.0468e-07, max values: 37.795, median values: 0.15872, and quantile values: 0.25 0.043442\n0.50 0.158720\n0.75 0.765325\nName: 1821, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4440603346137733, std values: 4.923987800413004, min values: 7.3869e-07, max values: 40.948, median values: 0.20842, and quantile values: 0.25 0.062775\n0.50 0.208420\n0.75 0.852260\nName: 1822, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6330789127924528, std values: 5.154490710463697, min values: 2.6429e-06, max values: 41.845, median values: 0.26009, and quantile values: 0.25 0.074012\n0.50 0.260090\n0.75 1.014750\nName: 1823, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6129095408144651, std values: 5.021400049909089, min values: 1.9002e-06, max values: 40.465, median values: 0.27848, and quantile values: 0.25 0.070155\n0.50 0.278480\n0.75 1.096300\nName: 1824, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3405289904673208, std values: 4.769552434034489, min values: 9.0844e-08, max values: 39.274, median values: 0.19505, and quantile values: 0.25 0.044256\n0.50 0.195050\n0.75 0.765660\nName: 1825, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3869451055025157, std values: 4.839731141457022, min values: 1.9873e-06, max values: 39.58, median values: 0.19294, and quantile values: 0.25 0.051830\n0.50 0.192940\n0.75 0.787755\nName: 1826, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5009285500754714, std values: 4.9129908025081175, min values: 2.3621e-06, max values: 38.902, median values: 0.24535, and quantile values: 0.25 0.071489\n0.50 0.245350\n0.75 0.918160\nName: 1827, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4479286594396226, std values: 4.982349414594889, min values: 1.5559e-06, max values: 40.958, median values: 0.2001, and quantile values: 0.25 0.061694\n0.50 0.200100\n0.75 0.844515\nName: 1828, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5625730920861636, std values: 4.945732296494045, min values: 3.4289e-06, max values: 39.35, median values: 0.23349, and quantile values: 0.25 0.077520\n0.50 0.233490\n0.75 0.987365\nName: 1829, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.294022867720063, std values: 4.604490978603888, min values: 4.8389e-07, max values: 37.122, median values: 0.19392, and quantile values: 0.25 0.054017\n0.50 0.193920\n0.75 0.749435\nName: 1830, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5075842611752202, std values: 4.9273596603106355, min values: 3.379e-08, max values: 41.238, median values: 0.23114, and quantile values: 0.25 0.055384\n0.50 0.231140\n0.75 0.979615\nName: 1831, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.479909222408805, std values: 4.89199884347955, min values: 1.1122e-06, max values: 38.949, median values: 0.25835, and quantile values: 0.25 0.065268\n0.50 0.258350\n0.75 0.826930\nName: 1832, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6368995850930819, std values: 5.041766609661321, min values: 2.8174e-06, max values: 40.081, median values: 0.26533, and quantile values: 0.25 0.074357\n0.50 0.265330\n0.75 1.074250\nName: 1833, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6672954428786169, std values: 5.164484469206718, min values: 1.3039e-06, max values: 43.092, median values: 0.25755, and quantile values: 0.25 0.075589\n0.50 0.257550\n0.75 1.097600\nName: 1834, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6865733752188679, std values: 5.1906347602440475, min values: 1.1977e-06, max values: 43.062, median values: 0.26982, and quantile values: 0.25 0.074265\n0.50 0.269820\n0.75 1.090150\nName: 1835, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3799657001387862, std values: 4.704898279266166, min values: 1.7248e-08, max values: 38.541, median values: 0.17124, and quantile values: 0.25 0.034976\n0.50 0.171240\n0.75 0.765670\nName: 1836, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6068449794665407, std values: 4.931077160043161, min values: 4.9388e-07, max values: 38.843, median values: 0.26546, and quantile values: 0.25 0.070774\n0.50 0.265460\n0.75 1.071850\nName: 1837, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4754471684553458, std values: 4.809129764112259, min values: 1.0051e-06, max values: 37.964, median values: 0.20999, and quantile values: 0.25 0.055737\n0.50 0.209990\n0.75 0.888625\nName: 1838, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.606255037886415, std values: 5.095800393038236, min values: 7.9004e-07, max values: 42.472, median values: 0.24714, and quantile values: 0.25 0.062721\n0.50 0.247140\n0.75 0.986970\nName: 1839, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3633719448559747, std values: 4.925467515396956, min values: 1.2917e-06, max values: 40.387, median values: 0.21476, and quantile values: 0.25 0.055776\n0.50 0.214760\n0.75 0.777310\nName: 1840, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5572921150703147, std values: 5.163769404405224, min values: 8.4868e-07, max values: 44.564, median values: 0.25588, and quantile values: 0.25 0.059575\n0.50 0.255880\n0.75 0.954580\nName: 1841, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.651992400172956, std values: 4.9544297780554745, min values: 2.9347e-06, max values: 39.587, median values: 0.27243, and quantile values: 0.25 0.080858\n0.50 0.272430\n0.75 1.111750\nName: 1842, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4229667926768867, std values: 4.587702773697958, min values: 2.0255e-08, max values: 35.586, median values: 0.21384, and quantile values: 0.25 0.052124\n0.50 0.213840\n0.75 0.868310\nName: 1843, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6792903515849056, std values: 5.10090409957257, min values: 4.5132e-06, max values: 40.718, median values: 0.27763, and quantile values: 0.25 0.08232\n0.50 0.27763\n0.75 1.04370\nName: 1844, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5699829764836477, std values: 5.234694209917844, min values: 2.8036e-06, max values: 43.407, median values: 0.23074, and quantile values: 0.25 0.067878\n0.50 0.230740\n0.75 0.905675\nName: 1845, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.509582739599371, std values: 4.83479517267599, min values: 1.0265e-06, max values: 38.109, median values: 0.25641, and quantile values: 0.25 0.062790\n0.50 0.256410\n0.75 0.944485\nName: 1846, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3859816426087421, std values: 4.962646517776101, min values: 5.8619e-07, max values: 41.652, median values: 0.17582, and quantile values: 0.25 0.056527\n0.50 0.175820\n0.75 0.794505\nName: 1847, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6827132795842765, std values: 5.055254654674686, min values: 2.343e-06, max values: 40.087, median values: 0.27129, and quantile values: 0.25 0.081293\n0.50 0.271290\n0.75 1.088800\nName: 1848, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3890790675778617, std values: 4.527385020312085, min values: 4.3258e-07, max values: 37.647, median values: 0.20765, and quantile values: 0.25 0.05087\n0.50 0.20765\n0.75 0.83797\nName: 1849, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.247816035237987, std values: 4.619577815497755, min values: 3.6564e-07, max values: 37.957, median values: 0.1538, and quantile values: 0.25 0.046268\n0.50 0.153800\n0.75 0.637985\nName: 1850, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5302277947139622, std values: 4.833568130093043, min values: 7.4692e-07, max values: 37.938, median values: 0.27075, and quantile values: 0.25 0.070914\n0.50 0.270750\n0.75 0.977125\nName: 1851, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5919931222786166, std values: 4.808902809502936, min values: 1.9933e-06, max values: 38.516, median values: 0.30594, and quantile values: 0.25 0.079061\n0.50 0.305940\n0.75 1.022700\nName: 1852, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3401169417454717, std values: 4.965360061184885, min values: 9.203e-08, max values: 42.258, median values: 0.18179, and quantile values: 0.25 0.043990\n0.50 0.181790\n0.75 0.718075\nName: 1853, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3833319369746542, std values: 4.654371838518925, min values: 6.9727e-07, max values: 37.694, median values: 0.23506, and quantile values: 0.25 0.072795\n0.50 0.235060\n0.75 0.815970\nName: 1854, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.696469475171698, std values: 5.237860481435249, min values: 3.5545e-06, max values: 42.43, median values: 0.27645, and quantile values: 0.25 0.081942\n0.50 0.276450\n0.75 1.058450\nName: 1855, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4242007706800253, std values: 4.672950977934341, min values: 2.4724e-08, max values: 36.824, median values: 0.18335, and quantile values: 0.25 0.050856\n0.50 0.183350\n0.75 0.918855\nName: 1856, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4027201824845281, std values: 4.93862708171145, min values: 8.1524e-07, max values: 41.655, median values: 0.21994, and quantile values: 0.25 0.061639\n0.50 0.219940\n0.75 0.788700\nName: 1857, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5690450918427674, std values: 4.782581612780822, min values: 2.3876e-06, max values: 38.575, median values: 0.25143, and quantile values: 0.25 0.072401\n0.50 0.251430\n0.75 0.970970\nName: 1858, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4140608366542264, std values: 4.780672251465285, min values: 1.7422e-08, max values: 38.47, median values: 0.18726, and quantile values: 0.25 0.052532\n0.50 0.187260\n0.75 0.855465\nName: 1859, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4464435374867926, std values: 4.975060771168821, min values: 1.9478e-06, max values: 40.847, median values: 0.21699, and quantile values: 0.25 0.064617\n0.50 0.216990\n0.75 0.841705\nName: 1860, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4241257283402515, std values: 4.74445362898336, min values: 3.3698e-06, max values: 40.094, median values: 0.21544, and quantile values: 0.25 0.060345\n0.50 0.215440\n0.75 0.819150\nName: 1861, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5709617470842765, std values: 5.062675588320857, min values: 1.8189e-06, max values: 41.168, median values: 0.24102, and quantile values: 0.25 0.070553\n0.50 0.241020\n0.75 0.957830\nName: 1862, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.380114476935409, std values: 4.6719119244168095, min values: 4.4583e-07, max values: 37.779, median values: 0.19983, and quantile values: 0.25 0.053736\n0.50 0.199830\n0.75 0.774455\nName: 1863, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3229673654100629, std values: 4.8513854794838425, min values: 1.6272e-06, max values: 40.412, median values: 0.16613, and quantile values: 0.25 0.045154\n0.50 0.166130\n0.75 0.746375\nName: 1864, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4443046516628928, std values: 4.911303948067124, min values: 2.5386e-06, max values: 39.829, median values: 0.22307, and quantile values: 0.25 0.083343\n0.50 0.223070\n0.75 0.786315\nName: 1865, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4776563531153457, std values: 4.887545676068593, min values: 4.6024e-07, max values: 40.127, median values: 0.228, and quantile values: 0.25 0.067393\n0.50 0.228000\n0.75 0.916900\nName: 1866, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5076348594836477, std values: 5.119452272590995, min values: 3.3298e-06, max values: 40.807, median values: 0.20986, and quantile values: 0.25 0.064233\n0.50 0.209860\n0.75 0.781300\nName: 1867, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4908434108308177, std values: 4.897172262646368, min values: 4.732e-07, max values: 39.774, median values: 0.2062, and quantile values: 0.25 0.057753\n0.50 0.206200\n0.75 0.944520\nName: 1868, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.407495793036478, std values: 4.945878467287575, min values: 4.2915e-06, max values: 39.913, median values: 0.21789, and quantile values: 0.25 0.063969\n0.50 0.217890\n0.75 0.708720\nName: 1869, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.507892567940692, std values: 4.859500062084006, min values: 8.4047e-07, max values: 38.365, median values: 0.2442, and quantile values: 0.25 0.065784\n0.50 0.244200\n0.75 0.971600\nName: 1870, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3240502889314465, std values: 4.7986695170564095, min values: 1.2045e-06, max values: 39.404, median values: 0.17165, and quantile values: 0.25 0.054075\n0.50 0.171650\n0.75 0.714755\nName: 1871, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5244974732685537, std values: 4.784631222915214, min values: 2.183e-06, max values: 38.383, median values: 0.24887, and quantile values: 0.25 0.073287\n0.50 0.248870\n0.75 0.961240\nName: 1872, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2083186954955976, std values: 4.538048319475385, min values: 1.4506e-06, max values: 39.344, median values: 0.16487, and quantile values: 0.25 0.043619\n0.50 0.164870\n0.75 0.615550\nName: 1873, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5331184872716983, std values: 5.098649256109184, min values: 6.519e-07, max values: 42.999, median values: 0.21459, and quantile values: 0.25 0.062225\n0.50 0.214590\n0.75 0.985995\nName: 1874, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.308790847146918, std values: 4.731098247764783, min values: 9.8456e-07, max values: 38.338, median values: 0.16042, and quantile values: 0.25 0.050466\n0.50 0.160420\n0.75 0.727890\nName: 1875, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6113172500955975, std values: 4.891148891063253, min values: 2.6192e-06, max values: 39.318, median values: 0.26019, and quantile values: 0.25 0.081661\n0.50 0.260190\n0.75 1.034700\nName: 1876, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3173476631893082, std values: 5.018539413366269, min values: 1.0554e-06, max values: 42.967, median values: 0.16148, and quantile values: 0.25 0.055645\n0.50 0.161480\n0.75 0.664500\nName: 1877, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.560234258545283, std values: 5.120562987851171, min values: 5.4979e-06, max values: 41.162, median values: 0.26309, and quantile values: 0.25 0.077662\n0.50 0.263090\n0.75 0.937025\nName: 1878, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.237873525302962, std values: 4.719190318234336, min values: 5.6591e-08, max values: 39.557, median values: 0.1399, and quantile values: 0.25 0.036903\n0.50 0.139900\n0.75 0.624615\nName: 1879, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4859037337207548, std values: 5.165212477339179, min values: 2.1078e-06, max values: 43.259, median values: 0.19985, and quantile values: 0.25 0.058047\n0.50 0.199850\n0.75 0.861300\nName: 1880, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4665812184245284, std values: 4.881427478368546, min values: 1.1192e-06, max values: 39.257, median values: 0.21732, and quantile values: 0.25 0.063944\n0.50 0.217320\n0.75 0.869920\nName: 1881, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.0955080839236102, std values: 4.4292676302211, min values: 7.8074e-08, max values: 36.182, median values: 0.11843, and quantile values: 0.25 0.031697\n0.50 0.118430\n0.75 0.480695\nName: 1882, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3631797068610692, std values: 4.878025146265925, min values: 6.7441e-07, max values: 40.545, median values: 0.19798, and quantile values: 0.25 0.055748\n0.50 0.197980\n0.75 0.729705\nName: 1883, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.683136310037736, std values: 4.949989871190671, min values: 2.1647e-06, max values: 38.651, median values: 0.29364, and quantile values: 0.25 0.083973\n0.50 0.293640\n0.75 1.147200\nName: 1884, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5577402242427674, std values: 5.105435454322351, min values: 1.773e-06, max values: 42.764, median values: 0.24804, and quantile values: 0.25 0.071918\n0.50 0.248040\n0.75 0.983345\nName: 1885, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4708023051584902, std values: 4.927027888367365, min values: 2.7048e-06, max values: 39.466, median values: 0.2078, and quantile values: 0.25 0.067672\n0.50 0.207800\n0.75 0.853565\nName: 1886, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.544731030645283, std values: 5.061010137097779, min values: 3.239e-06, max values: 40.579, median values: 0.25833, and quantile values: 0.25 0.070189\n0.50 0.258330\n0.75 0.995570\nName: 1887, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.474932565581132, std values: 5.135061629509603, min values: 1.2028e-06, max values: 43.679, median values: 0.2002, and quantile values: 0.25 0.061226\n0.50 0.200200\n0.75 0.862885\nName: 1888, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4329714662735848, std values: 5.000965846968473, min values: 4.1681e-06, max values: 41.617, median values: 0.19616, and quantile values: 0.25 0.061436\n0.50 0.196160\n0.75 0.752580\nName: 1889, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4044964945728302, std values: 4.9536997916958185, min values: 8.3838e-07, max values: 40.819, median values: 0.20985, and quantile values: 0.25 0.052107\n0.50 0.209850\n0.75 0.788855\nName: 1890, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3934875917698113, std values: 5.030424497513779, min values: 1.8408e-06, max values: 42.109, median values: 0.20194, and quantile values: 0.25 0.053061\n0.50 0.201940\n0.75 0.789815\nName: 1891, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8181190425748426, std values: 5.436043021791126, min values: 4.9724e-06, max values: 43.279, median values: 0.29675, and quantile values: 0.25 0.086182\n0.50 0.296750\n0.75 1.190500\nName: 1892, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3609316882, std values: 4.610989266267042, min values: 1.0674e-06, max values: 38.194, median values: 0.21287, and quantile values: 0.25 0.060073\n0.50 0.212870\n0.75 0.810665\nName: 1893, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5620914869050315, std values: 5.15716902900091, min values: 2.7123e-06, max values: 42.935, median values: 0.26625, and quantile values: 0.25 0.070588\n0.50 0.266250\n0.75 0.963270\nName: 1894, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3442384632233333, std values: 4.737792422218874, min values: 3.9571e-07, max values: 38.431, median values: 0.19003, and quantile values: 0.25 0.049842\n0.50 0.190030\n0.75 0.760140\nName: 1895, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4555126753327043, std values: 4.996780557939285, min values: 1.3966e-06, max values: 41.495, median values: 0.21517, and quantile values: 0.25 0.062312\n0.50 0.215170\n0.75 0.850690\nName: 1896, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4700399386672391, std values: 5.046784375734821, min values: 2.7671e-08, max values: 43.871, median values: 0.20611, and quantile values: 0.25 0.050966\n0.50 0.206110\n0.75 0.843190\nName: 1897, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5225151798937107, std values: 4.9582248000074145, min values: 2.1276e-06, max values: 39.746, median values: 0.26457, and quantile values: 0.25 0.066230\n0.50 0.264570\n0.75 0.953655\nName: 1898, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6342038799402514, std values: 5.218287888363066, min values: 2.13e-06, max values: 41.617, median values: 0.28416, and quantile values: 0.25 0.080120\n0.50 0.284160\n0.75 0.959655\nName: 1899, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4969420209421385, std values: 4.824139675790062, min values: 1.3023e-06, max values: 38.477, median values: 0.23815, and quantile values: 0.25 0.068662\n0.50 0.238150\n0.75 0.962580\nName: 1900, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5879534709283019, std values: 4.931647095044717, min values: 1.6e-06, max values: 38.622, median values: 0.28355, and quantile values: 0.25 0.077022\n0.50 0.283550\n0.75 0.992340\nName: 1901, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4891695282031445, std values: 5.111514515677002, min values: 1.4329e-06, max values: 42.582, median values: 0.20382, and quantile values: 0.25 0.065198\n0.50 0.203820\n0.75 0.877950\nName: 1902, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3549257857603774, std values: 4.791639695471517, min values: 1.0555e-06, max values: 38.356, median values: 0.19568, and quantile values: 0.25 0.054810\n0.50 0.195680\n0.75 0.744955\nName: 1903, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3806869407415094, std values: 4.855505646412794, min values: 3.2743e-06, max values: 39.64, median values: 0.18968, and quantile values: 0.25 0.065017\n0.50 0.189680\n0.75 0.731685\nName: 1904, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5722620215772327, std values: 4.9535723334450585, min values: 8.4378e-07, max values: 39.849, median values: 0.24749, and quantile values: 0.25 0.065626\n0.50 0.247490\n0.75 1.010900\nName: 1905, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6196249442553459, std values: 5.21560738987105, min values: 1.9426e-06, max values: 43.543, median values: 0.25702, and quantile values: 0.25 0.070374\n0.50 0.257020\n0.75 1.027200\nName: 1906, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3662278527144653, std values: 4.731196442902717, min values: 2.6689e-06, max values: 39.704, median values: 0.19141, and quantile values: 0.25 0.064578\n0.50 0.191410\n0.75 0.762980\nName: 1907, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4682079620570438, std values: 4.782935301630546, min values: 8.6707e-07, max values: 38.485, median values: 0.26434, and quantile values: 0.25 0.063297\n0.50 0.264340\n0.75 0.929015\nName: 1908, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5566049556773585, std values: 5.066831842320555, min values: 2.2156e-06, max values: 40.885, median values: 0.25668, and quantile values: 0.25 0.067661\n0.50 0.256680\n0.75 0.960905\nName: 1909, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3825448784840881, std values: 4.7264280438026605, min values: 6.5167e-07, max values: 37.773, median values: 0.20396, and quantile values: 0.25 0.059409\n0.50 0.203960\n0.75 0.761930\nName: 1910, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5123764379754718, std values: 4.776108469920597, min values: 1.6113e-06, max values: 38.723, median values: 0.23168, and quantile values: 0.25 0.071731\n0.50 0.231680\n0.75 0.984350\nName: 1911, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3703123655817613, std values: 5.05389321887422, min values: 1.1333e-06, max values: 42.775, median values: 0.18834, and quantile values: 0.25 0.048879\n0.50 0.188340\n0.75 0.743910\nName: 1912, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.539974885263522, std values: 4.859960844021164, min values: 1.1016e-06, max values: 38.148, median values: 0.24544, and quantile values: 0.25 0.069538\n0.50 0.245440\n0.75 0.948130\nName: 1913, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4794165319088048, std values: 5.089124293680798, min values: 2.8307e-06, max values: 40.93, median values: 0.23861, and quantile values: 0.25 0.070218\n0.50 0.238610\n0.75 0.858510\nName: 1914, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2528332036856604, std values: 5.031914397268089, min values: 1.5976e-07, max values: 44.484, median values: 0.14658, and quantile values: 0.25 0.036208\n0.50 0.146580\n0.75 0.583250\nName: 1915, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3318683438094967, std values: 4.580716280045714, min values: 7.3671e-07, max values: 37.758, median values: 0.20187, and quantile values: 0.25 0.054475\n0.50 0.201870\n0.75 0.805550\nName: 1916, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4134227805421067, std values: 4.645813371897705, min values: 7.1495e-08, max values: 37.162, median values: 0.19863, and quantile values: 0.25 0.054901\n0.50 0.198630\n0.75 0.916945\nName: 1917, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.38515996333522, std values: 4.8622059985109, min values: 2.0116e-06, max values: 39.159, median values: 0.18993, and quantile values: 0.25 0.062619\n0.50 0.189930\n0.75 0.792885\nName: 1918, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1823734141325155, std values: 4.568949326992799, min values: 7.3667e-07, max values: 38.218, median values: 0.13444, and quantile values: 0.25 0.040859\n0.50 0.134440\n0.75 0.539555\nName: 1919, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4823408679037737, std values: 4.896342648923653, min values: 2.3176e-06, max values: 38.901, median values: 0.22572, and quantile values: 0.25 0.068232\n0.50 0.225720\n0.75 0.918095\nName: 1920, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.404861717130107, std values: 4.840805139981808, min values: 5.1587e-08, max values: 38.69, median values: 0.18327, and quantile values: 0.25 0.054177\n0.50 0.183270\n0.75 0.794585\nName: 1921, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5661587865207547, std values: 4.85103813085592, min values: 3.4768e-06, max values: 39.715, median values: 0.25355, and quantile values: 0.25 0.07212\n0.50 0.25355\n0.75 1.04000\nName: 1922, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1941838558047797, std values: 4.51289048804792, min values: 6.0256e-07, max values: 37.312, median values: 0.12815, and quantile values: 0.25 0.039828\n0.50 0.128150\n0.75 0.586870\nName: 1923, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3390952111386791, std values: 4.710083168977971, min values: 3.5355e-07, max values: 38.196, median values: 0.20269, and quantile values: 0.25 0.056577\n0.50 0.202690\n0.75 0.780445\nName: 1924, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3706597287874214, std values: 4.958576890692655, min values: 2.2885e-06, max values: 40.174, median values: 0.20687, and quantile values: 0.25 0.057215\n0.50 0.206870\n0.75 0.769325\nName: 1925, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7103056795691824, std values: 5.00486643710589, min values: 6.262e-07, max values: 39.233, median values: 0.28904, and quantile values: 0.25 0.074216\n0.50 0.289040\n0.75 1.209750\nName: 1926, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5813395348291193, std values: 4.965742269147511, min values: 2.633e-08, max values: 40.975, median values: 0.2444, and quantile values: 0.25 0.072722\n0.50 0.244400\n0.75 1.021040\nName: 1927, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.294575687957233, std values: 4.913330594561797, min values: 2.1523e-06, max values: 39.699, median values: 0.18392, and quantile values: 0.25 0.052062\n0.50 0.183920\n0.75 0.669060\nName: 1928, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3091055700790504, std values: 4.607810199823494, min values: 6.9669e-08, max values: 37.296, median values: 0.17071, and quantile values: 0.25 0.049078\n0.50 0.170710\n0.75 0.783930\nName: 1929, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3504463461844654, std values: 4.578443157757053, min values: 1.0841e-07, max values: 36.348, median values: 0.16762, and quantile values: 0.25 0.045256\n0.50 0.167620\n0.75 0.725560\nName: 1930, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4144293731192454, std values: 4.868255618403055, min values: 9.3686e-07, max values: 39.236, median values: 0.22206, and quantile values: 0.25 0.059866\n0.50 0.222060\n0.75 0.806375\nName: 1931, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.624077668644654, std values: 4.999033158418152, min values: 1.3709e-06, max values: 39.703, median values: 0.26689, and quantile values: 0.25 0.078063\n0.50 0.266890\n0.75 1.044565\nName: 1932, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4770559003233963, std values: 4.833641331490734, min values: 6.3092e-07, max values: 38.769, median values: 0.20301, and quantile values: 0.25 0.059034\n0.50 0.203010\n0.75 0.910225\nName: 1933, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3942712352924524, std values: 4.89290573082095, min values: 1.2596e-06, max values: 39.603, median values: 0.19038, and quantile values: 0.25 0.048934\n0.50 0.190380\n0.75 0.770730\nName: 1934, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6442479192415094, std values: 5.12292695029062, min values: 3.2373e-06, max values: 41.476, median values: 0.27156, and quantile values: 0.25 0.08151\n0.50 0.27156\n0.75 1.02920\nName: 1935, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5619388572655346, std values: 4.962538002093193, min values: 6.2392e-07, max values: 40.623, median values: 0.23775, and quantile values: 0.25 0.067419\n0.50 0.237750\n0.75 0.991630\nName: 1936, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1034112542223269, std values: 4.754629385919229, min values: 8.5305e-07, max values: 38.627, median values: 0.10654, and quantile values: 0.25 0.032639\n0.50 0.106540\n0.75 0.431135\nName: 1937, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7077243816144656, std values: 5.065228826082936, min values: 1.8911e-06, max values: 39.262, median values: 0.26155, and quantile values: 0.25 0.077375\n0.50 0.261550\n0.75 1.156800\nName: 1938, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3495615062116353, std values: 4.781791923599852, min values: 3.5165e-07, max values: 38.761, median values: 0.16386, and quantile values: 0.25 0.047987\n0.50 0.163860\n0.75 0.730655\nName: 1939, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7510849939213837, std values: 5.257845150068657, min values: 4.6776e-06, max values: 41.862, median values: 0.27949, and quantile values: 0.25 0.082426\n0.50 0.279490\n0.75 1.149200\nName: 1940, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4300492921415096, std values: 4.831298459826102, min values: 2.462e-06, max values: 39.109, median values: 0.23623, and quantile values: 0.25 0.067139\n0.50 0.236230\n0.75 0.866105\nName: 1941, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3505699392974841, std values: 4.870036658053368, min values: 1.852e-06, max values: 39.107, median values: 0.18529, and quantile values: 0.25 0.056887\n0.50 0.185290\n0.75 0.780150\nName: 1942, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4396957611603773, std values: 5.334882246412448, min values: 2.9299e-06, max values: 45.589, median values: 0.18643, and quantile values: 0.25 0.050831\n0.50 0.186430\n0.75 0.689425\nName: 1943, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.489798215062956, std values: 4.759913713588006, min values: 3.1085e-07, max values: 37.524, median values: 0.20852, and quantile values: 0.25 0.050763\n0.50 0.208520\n0.75 0.896335\nName: 1944, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5634231462838994, std values: 4.9056224506642305, min values: 4.7704e-07, max values: 39.573, median values: 0.26615, and quantile values: 0.25 0.060358\n0.50 0.266150\n0.75 1.040000\nName: 1945, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4790804834370441, std values: 4.985863676521125, min values: 6.4179e-07, max values: 41.939, median values: 0.22877, and quantile values: 0.25 0.06608\n0.50 0.22877\n0.75 0.88174\nName: 1946, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.535485921263522, std values: 4.976536564195244, min values: 2.1657e-06, max values: 39.708, median values: 0.23733, and quantile values: 0.25 0.061608\n0.50 0.237330\n0.75 0.963810\nName: 1947, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.421789750668742, std values: 4.712664453514162, min values: 9.7523e-07, max values: 37.627, median values: 0.20796, and quantile values: 0.25 0.061321\n0.50 0.207960\n0.75 0.828195\nName: 1948, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5272667219238993, std values: 5.001181067118228, min values: 4.6903e-06, max values: 40.68, median values: 0.23958, and quantile values: 0.25 0.070758\n0.50 0.239580\n0.75 0.876735\nName: 1949, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9239744778811319, std values: 5.401540098427626, min values: 2.5621e-06, max values: 43.967, median values: 0.34132, and quantile values: 0.25 0.088444\n0.50 0.341320\n0.75 1.458750\nName: 1950, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4664777881616669, std values: 4.6086708676415205, min values: 1.8375e-08, max values: 36.455, median values: 0.24594, and quantile values: 0.25 0.047816\n0.50 0.245940\n0.75 0.984185\nName: 1951, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5149611603528301, std values: 4.891730778904988, min values: 2.6663e-06, max values: 39.199, median values: 0.2563, and quantile values: 0.25 0.068861\n0.50 0.256300\n0.75 0.931555\nName: 1952, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4001002938937106, std values: 4.702477138040559, min values: 4.2667e-06, max values: 40.61, median values: 0.22151, and quantile values: 0.25 0.063219\n0.50 0.221510\n0.75 0.746270\nName: 1953, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6417624952888679, std values: 4.89869216145337, min values: 9.3703e-07, max values: 37.886, median values: 0.27746, and quantile values: 0.25 0.073789\n0.50 0.277460\n0.75 1.144850\nName: 1954, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.52275458388805, std values: 4.966929204810208, min values: 2.6229e-06, max values: 39.809, median values: 0.2208, and quantile values: 0.25 0.074521\n0.50 0.220800\n0.75 0.948465\nName: 1955, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.465565780097239, std values: 4.8191753506108155, min values: 2.3461e-08, max values: 39.984, median values: 0.21513, and quantile values: 0.25 0.050755\n0.50 0.215130\n0.75 0.969520\nName: 1956, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4104482943849057, std values: 4.794717583930399, min values: 1.6786e-06, max values: 39.373, median values: 0.1942, and quantile values: 0.25 0.05977\n0.50 0.19420\n0.75 0.85067\nName: 1957, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5586880299654087, std values: 4.939853862205329, min values: 3.0607e-06, max values: 38.795, median values: 0.25098, and quantile values: 0.25 0.070019\n0.50 0.250980\n0.75 0.975530\nName: 1958, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4824388843547167, std values: 4.799622534328586, min values: 8.424e-07, max values: 38.242, median values: 0.21399, and quantile values: 0.25 0.066972\n0.50 0.213990\n0.75 0.890040\nName: 1959, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4475985136597485, std values: 4.934293257367488, min values: 2.7735e-06, max values: 39.796, median values: 0.20686, and quantile values: 0.25 0.061644\n0.50 0.206860\n0.75 0.816475\nName: 1960, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4895088257044025, std values: 5.069400688800127, min values: 1.1188e-06, max values: 42.546, median values: 0.19107, and quantile values: 0.25 0.060631\n0.50 0.191070\n0.75 0.905420\nName: 1961, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5654577428330818, std values: 4.921735691010794, min values: 7.4186e-07, max values: 39.492, median values: 0.2492, and quantile values: 0.25 0.068066\n0.50 0.249200\n0.75 1.154100\nName: 1962, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3698166297522012, std values: 4.841743290190455, min values: 1.3569e-06, max values: 38.704, median values: 0.19795, and quantile values: 0.25 0.047865\n0.50 0.197950\n0.75 0.772090\nName: 1963, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.801346961910063, std values: 5.356625066042462, min values: 7.1117e-06, max values: 41.673, median values: 0.34608, and quantile values: 0.25 0.093438\n0.50 0.346080\n0.75 1.129900\nName: 1964, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6333211454779872, std values: 4.904562956751568, min values: 1.2655e-06, max values: 38.254, median values: 0.29027, and quantile values: 0.25 0.077685\n0.50 0.290270\n0.75 1.104100\nName: 1965, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.356150350337736, std values: 4.7724673170635725, min values: 1.4841e-06, max values: 39.862, median values: 0.19499, and quantile values: 0.25 0.051879\n0.50 0.194990\n0.75 0.816330\nName: 1966, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3811227474874213, std values: 4.810828580898231, min values: 1.8652e-06, max values: 38.856, median values: 0.21472, and quantile values: 0.25 0.057664\n0.50 0.214720\n0.75 0.791585\nName: 1967, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6428843156081763, std values: 5.1312273184405575, min values: 2.6055e-06, max values: 41.49, median values: 0.28736, and quantile values: 0.25 0.077022\n0.50 0.287360\n0.75 1.102100\nName: 1968, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.616690390725157, std values: 5.108482166246099, min values: 3.9555e-06, max values: 40.201, median values: 0.26856, and quantile values: 0.25 0.073549\n0.50 0.268560\n0.75 0.991730\nName: 1969, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5345948306930817, std values: 4.9337166700407185, min values: 1.8549e-06, max values: 39.156, median values: 0.26188, and quantile values: 0.25 0.064629\n0.50 0.261880\n0.75 0.963730\nName: 1970, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4717221335815094, std values: 4.846484733976766, min values: 9.4766e-07, max values: 38.793, median values: 0.22096, and quantile values: 0.25 0.062251\n0.50 0.220960\n0.75 0.863850\nName: 1971, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5787134667044025, std values: 5.324353808974492, min values: 2.1984e-06, max values: 45.581, median values: 0.22023, and quantile values: 0.25 0.071415\n0.50 0.220230\n0.75 0.927555\nName: 1972, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4865590232075472, std values: 4.8796963131520545, min values: 2.7962e-06, max values: 39.391, median values: 0.26245, and quantile values: 0.25 0.06628\n0.50 0.26245\n0.75 0.87025\nName: 1973, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.67921444865283, std values: 5.0723688556081985, min values: 1.1752e-06, max values: 40.696, median values: 0.28732, and quantile values: 0.25 0.074142\n0.50 0.287320\n0.75 1.129750\nName: 1974, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2851417236842766, std values: 4.801084392078199, min values: 2.1939e-06, max values: 39.696, median values: 0.1594, and quantile values: 0.25 0.049697\n0.50 0.159400\n0.75 0.659340\nName: 1975, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.47286247947044, std values: 4.747368799116435, min values: 2.1286e-06, max values: 38.911, median values: 0.21658, and quantile values: 0.25 0.06719\n0.50 0.21658\n0.75 0.88540\nName: 1976, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5437115518270441, std values: 4.815390399609543, min values: 1.7264e-06, max values: 39.405, median values: 0.23451, and quantile values: 0.25 0.068771\n0.50 0.234510\n0.75 1.012550\nName: 1977, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4585905274932702, std values: 4.935608159895271, min values: 2.0313e-07, max values: 41.042, median values: 0.20319, and quantile values: 0.25 0.054211\n0.50 0.203190\n0.75 0.869900\nName: 1978, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5549742827031445, std values: 5.049512064793246, min values: 2.6836e-06, max values: 40.315, median values: 0.24093, and quantile values: 0.25 0.065530\n0.50 0.240930\n0.75 0.927975\nName: 1979, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4083047931786161, std values: 4.843542288695325, min values: 2.5248e-06, max values: 39.559, median values: 0.22664, and quantile values: 0.25 0.059943\n0.50 0.226640\n0.75 0.796620\nName: 1980, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5491346684061007, std values: 4.857200156141248, min values: 2.4127e-07, max values: 38.633, median values: 0.2559, and quantile values: 0.25 0.057514\n0.50 0.255900\n0.75 1.034790\nName: 1981, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5216547110610061, std values: 5.1468271554348295, min values: 1.1305e-06, max values: 43.489, median values: 0.22374, and quantile values: 0.25 0.060275\n0.50 0.223740\n0.75 0.942140\nName: 1982, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6473369444427675, std values: 5.295877935335289, min values: 5.229e-07, max values: 46.042, median values: 0.25564, and quantile values: 0.25 0.064771\n0.50 0.255640\n0.75 1.055750\nName: 1983, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5395734048012581, std values: 5.034505746423768, min values: 1.6164e-06, max values: 41.418, median values: 0.23356, and quantile values: 0.25 0.062645\n0.50 0.233560\n0.75 0.974420\nName: 1984, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.542740344164151, std values: 4.8584665766791835, min values: 4.6848e-06, max values: 39.948, median values: 0.24591, and quantile values: 0.25 0.072664\n0.50 0.245910\n0.75 0.933630\nName: 1985, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3586948863160377, std values: 4.83596075015247, min values: 6.9665e-07, max values: 39.7, median values: 0.18167, and quantile values: 0.25 0.048965\n0.50 0.181670\n0.75 0.777840\nName: 1986, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6322328593100628, std values: 5.004060333405114, min values: 6.259e-07, max values: 39.168, median values: 0.27702, and quantile values: 0.25 0.072257\n0.50 0.277020\n0.75 1.131650\nName: 1987, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.418647582390566, std values: 4.844032754170962, min values: 2.9084e-06, max values: 39.428, median values: 0.21108, and quantile values: 0.25 0.064429\n0.50 0.211080\n0.75 0.882875\nName: 1988, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4404940541993083, std values: 4.6722352997496674, min values: 2.5889e-07, max values: 37.576, median values: 0.23904, and quantile values: 0.25 0.062185\n0.50 0.239040\n0.75 0.939265\nName: 1989, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4883507103377986, std values: 5.056177762072986, min values: 7.7271e-07, max values: 41.982, median values: 0.22966, and quantile values: 0.25 0.055864\n0.50 0.229660\n0.75 0.836205\nName: 1990, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5616473405591194, std values: 5.007411259052216, min values: 6.4959e-06, max values: 41.242, median values: 0.23077, and quantile values: 0.25 0.062108\n0.50 0.230770\n0.75 0.878215\nName: 1991, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3895466944807549, std values: 4.653404417256143, min values: 5.1654e-07, max values: 37.008, median values: 0.20494, and quantile values: 0.25 0.05948\n0.50 0.20494\n0.75 0.80007\nName: 1992, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5970562131522013, std values: 5.0978976347862, min values: 1.8421e-06, max values: 42.088, median values: 0.25387, and quantile values: 0.25 0.082483\n0.50 0.253870\n0.75 1.040200\nName: 1993, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4815937335245912, std values: 4.956622448681565, min values: 6.2921e-07, max values: 41.11, median values: 0.2377, and quantile values: 0.25 0.066346\n0.50 0.237700\n0.75 0.923405\nName: 1994, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6055822322037736, std values: 4.893062639103112, min values: 0.0, max values: 38.659, median values: 0.2693, and quantile values: 0.25 0.075133\n0.50 0.269300\n0.75 1.091900\nName: 1995, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.238042047587044, std values: 4.635809928314435, min values: 7.9974e-07, max values: 38.476, median values: 0.17007, and quantile values: 0.25 0.054311\n0.50 0.170070\n0.75 0.675120\nName: 1996, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.401768921314717, std values: 4.702021309446851, min values: 1.299e-07, max values: 37.085, median values: 0.19803, and quantile values: 0.25 0.047006\n0.50 0.198030\n0.75 0.853875\nName: 1997, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.482327358981132, std values: 5.033587903365948, min values: 4.463e-07, max values: 43.039, median values: 0.20129, and quantile values: 0.25 0.06245\n0.50 0.20129\n0.75 0.83643\nName: 1998, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5043154579010063, std values: 4.859320680010339, min values: 6.4676e-07, max values: 39.02, median values: 0.23462, and quantile values: 0.25 0.062459\n0.50 0.234620\n0.75 0.939685\nName: 1999, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5286214028603775, std values: 4.845962367112246, min values: 1.1605e-06, max values: 38.366, median values: 0.25743, and quantile values: 0.25 0.066064\n0.50 0.257430\n0.75 0.998235\nName: 2000, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.413881947189937, std values: 4.9290480982674065, min values: 1.4816e-06, max values: 39.717, median values: 0.19849, and quantile values: 0.25 0.056048\n0.50 0.198490\n0.75 0.817995\nName: 2001, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5557677139000001, std values: 5.1384823752500015, min values: 4.6687e-06, max values: 40.879, median values: 0.25578, and quantile values: 0.25 0.074547\n0.50 0.255780\n0.75 0.916055\nName: 2002, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3302434697157233, std values: 4.673996163391485, min values: 3.045e-06, max values: 40.27, median values: 0.19938, and quantile values: 0.25 0.058119\n0.50 0.199380\n0.75 0.690445\nName: 2003, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6242429101974845, std values: 5.042551592024135, min values: 1.667e-06, max values: 40.415, median values: 0.26657, and quantile values: 0.25 0.07020\n0.50 0.26657\n0.75 1.10430\nName: 2004, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5346749098228931, std values: 5.021498001028682, min values: 9.2374e-07, max values: 42.096, median values: 0.27312, and quantile values: 0.25 0.068650\n0.50 0.273120\n0.75 0.960175\nName: 2005, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.593373472855975, std values: 5.183911319188394, min values: 6.6657e-06, max values: 41.551, median values: 0.26739, and quantile values: 0.25 0.080965\n0.50 0.267390\n0.75 0.830220\nName: 2006, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4162114463997797, std values: 4.795279398728264, min values: 1.9245e-08, max values: 39.672, median values: 0.18159, and quantile values: 0.25 0.039187\n0.50 0.181590\n0.75 0.737535\nName: 2007, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4302053866106919, std values: 4.969771413041726, min values: 2.8084e-06, max values: 41.007, median values: 0.2166, and quantile values: 0.25 0.061759\n0.50 0.216600\n0.75 0.794545\nName: 2008, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6350839183515093, std values: 5.075192927060273, min values: 4.7809e-07, max values: 41.847, median values: 0.25575, and quantile values: 0.25 0.072286\n0.50 0.255750\n0.75 1.062200\nName: 2009, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.703806278742138, std values: 5.1577414218793916, min values: 3.092e-06, max values: 40.871, median values: 0.2978, and quantile values: 0.25 0.08471\n0.50 0.29780\n0.75 1.11960\nName: 2010, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7719166205666665, std values: 5.238536172501684, min values: 2.3748e-06, max values: 42.269, median values: 0.30376, and quantile values: 0.25 0.082505\n0.50 0.303760\n0.75 1.213350\nName: 2011, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3936361244534592, std values: 4.9003319831611, min values: 1.9165e-06, max values: 39.742, median values: 0.21733, and quantile values: 0.25 0.058457\n0.50 0.217330\n0.75 0.788860\nName: 2012, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.584119168927673, std values: 5.263234556723614, min values: 1.3501e-07, max values: 47.413, median values: 0.22755, and quantile values: 0.25 0.056569\n0.50 0.227550\n0.75 1.017985\nName: 2013, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5297368393490565, std values: 5.0457892936012465, min values: 3.3101e-06, max values: 40.215, median values: 0.21538, and quantile values: 0.25 0.074124\n0.50 0.215380\n0.75 0.915065\nName: 2014, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2685961716774843, std values: 5.258553465147556, min values: 7.1532e-07, max values: 48.229, median values: 0.13958, and quantile values: 0.25 0.037992\n0.50 0.139580\n0.75 0.595235\nName: 2015, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3271170860044026, std values: 4.712447937476869, min values: 2.0369e-06, max values: 39.681, median values: 0.19305, and quantile values: 0.25 0.058257\n0.50 0.193050\n0.75 0.741310\nName: 2016, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5867417114274842, std values: 5.126604757430048, min values: 1.9877e-07, max values: 43.927, median values: 0.24224, and quantile values: 0.25 0.063579\n0.50 0.242240\n0.75 1.054300\nName: 2017, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4621191823727042, std values: 5.012349915132643, min values: 3.7636e-07, max values: 42.357, median values: 0.20198, and quantile values: 0.25 0.054774\n0.50 0.201980\n0.75 0.799730\nName: 2018, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5163062627030188, std values: 4.788636562561941, min values: 4.1538e-07, max values: 37.75, median values: 0.20946, and quantile values: 0.25 0.066456\n0.50 0.209460\n0.75 0.973380\nName: 2019, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5529105324976098, std values: 5.076611309493216, min values: 8.5732e-07, max values: 42.12, median values: 0.22725, and quantile values: 0.25 0.067072\n0.50 0.227250\n0.75 0.979350\nName: 2020, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4269444360509433, std values: 4.630337854631773, min values: 1.4258e-06, max values: 38.2, median values: 0.24566, and quantile values: 0.25 0.065666\n0.50 0.245660\n0.75 0.921995\nName: 2021, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4563981880509433, std values: 4.818219029420956, min values: 8.659e-07, max values: 38.542, median values: 0.25955, and quantile values: 0.25 0.063909\n0.50 0.259550\n0.75 0.929635\nName: 2022, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3039557514648552, std values: 4.704300036628583, min values: 2.4932e-08, max values: 38.824, median values: 0.16826, and quantile values: 0.25 0.035255\n0.50 0.168260\n0.75 0.673010\nName: 2023, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6379146263415094, std values: 5.087076713282115, min values: 4.4349e-06, max values: 40.05, median values: 0.25766, and quantile values: 0.25 0.081275\n0.50 0.257660\n0.75 1.039385\nName: 2024, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3814954583125787, std values: 4.8331220997923285, min values: 1.8083e-06, max values: 38.991, median values: 0.18792, and quantile values: 0.25 0.056794\n0.50 0.187920\n0.75 0.758830\nName: 2025, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4647500413410692, std values: 4.915649097499219, min values: 9.9833e-07, max values: 39.163, median values: 0.19799, and quantile values: 0.25 0.058652\n0.50 0.197990\n0.75 0.859215\nName: 2026, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5308533668761009, std values: 5.075926937212329, min values: 2.2699e-06, max values: 41.139, median values: 0.25737, and quantile values: 0.25 0.071654\n0.50 0.257370\n0.75 0.906840\nName: 2027, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6584251803534593, std values: 5.0940011405518755, min values: 1.2623e-06, max values: 41.726, median values: 0.29381, and quantile values: 0.25 0.070797\n0.50 0.293810\n0.75 1.111300\nName: 2028, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5396375561750815, std values: 4.7456017464406575, min values: 5.5348e-08, max values: 37.111, median values: 0.20102, and quantile values: 0.25 0.05480\n0.50 0.20102\n0.75 1.03150\nName: 2029, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6795104773471696, std values: 5.250528810377538, min values: 3.8714e-06, max values: 42.468, median values: 0.2741, and quantile values: 0.25 0.077022\n0.50 0.274100\n0.75 1.032090\nName: 2030, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6103456101459122, std values: 4.9175153419157445, min values: 2.7625e-06, max values: 39.906, median values: 0.25219, and quantile values: 0.25 0.074928\n0.50 0.252190\n0.75 1.078350\nName: 2031, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3921971350050313, std values: 4.810272907530903, min values: 1.4164e-06, max values: 38.776, median values: 0.20008, and quantile values: 0.25 0.061233\n0.50 0.200080\n0.75 0.876580\nName: 2032, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5335762906867925, std values: 4.779313784054403, min values: 3.0999e-06, max values: 39.826, median values: 0.22245, and quantile values: 0.25 0.074512\n0.50 0.222450\n0.75 0.977265\nName: 2033, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3239142063578617, std values: 4.555433694595892, min values: 1.7941e-06, max values: 38.948, median values: 0.18447, and quantile values: 0.25 0.055561\n0.50 0.184470\n0.75 0.755510\nName: 2034, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4141366481540882, std values: 4.910901426147396, min values: 1.4523e-06, max values: 39.779, median values: 0.20667, and quantile values: 0.25 0.055667\n0.50 0.206670\n0.75 0.830865\nName: 2035, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7276356678433962, std values: 5.110923471823652, min values: 4.2375e-06, max values: 40.452, median values: 0.28008, and quantile values: 0.25 0.087333\n0.50 0.280080\n0.75 1.142050\nName: 2036, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5761476203327045, std values: 4.875883558283007, min values: 1.9697e-06, max values: 39.145, median values: 0.2609, and quantile values: 0.25 0.079831\n0.50 0.260900\n0.75 0.997155\nName: 2037, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5054785025867925, std values: 5.115015708514731, min values: 1.2659e-06, max values: 43.324, median values: 0.21376, and quantile values: 0.25 0.062197\n0.50 0.213760\n0.75 0.848090\nName: 2038, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.422038841879497, std values: 4.970136196341279, min values: 3.2834e-07, max values: 41.941, median values: 0.1869, and quantile values: 0.25 0.056214\n0.50 0.186900\n0.75 0.760490\nName: 2039, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6146869871157234, std values: 5.143849956214691, min values: 3.8555e-06, max values: 42.24, median values: 0.25307, and quantile values: 0.25 0.080173\n0.50 0.253070\n0.75 1.038150\nName: 2040, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6053099565855344, std values: 5.026061166694572, min values: 3.0886e-06, max values: 39.609, median values: 0.23476, and quantile values: 0.25 0.076645\n0.50 0.234760\n0.75 0.965065\nName: 2041, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3157581353213839, std values: 4.709483319712511, min values: 1.2446e-06, max values: 38.338, median values: 0.15542, and quantile values: 0.25 0.052218\n0.50 0.155420\n0.75 0.706520\nName: 2042, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.372827749637736, std values: 4.732101775413416, min values: 1.2732e-06, max values: 38.288, median values: 0.17992, and quantile values: 0.25 0.056825\n0.50 0.179920\n0.75 0.752375\nName: 2043, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6858441688861636, std values: 5.036623473219607, min values: 3.97e-06, max values: 40.076, median values: 0.28684, and quantile values: 0.25 0.082059\n0.50 0.286840\n0.75 1.065800\nName: 2044, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6773222247218305, std values: 5.193074256813376, min values: 2.6971e-08, max values: 44.361, median values: 0.24028, and quantile values: 0.25 0.062082\n0.50 0.240280\n0.75 1.129000\nName: 2045, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4806442789056604, std values: 4.972728565470374, min values: 1.4239e-06, max values: 39.757, median values: 0.21679, and quantile values: 0.25 0.059038\n0.50 0.216790\n0.75 0.929430\nName: 2046, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7621447312358494, std values: 5.019405989557495, min values: 3.8061e-06, max values: 39.987, median values: 0.33141, and quantile values: 0.25 0.085853\n0.50 0.331410\n0.75 1.269100\nName: 2047, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5249829941492954, std values: 4.842782038583805, min values: 1.4462e-08, max values: 40.275, median values: 0.19318, and quantile values: 0.25 0.035348\n0.50 0.193180\n0.75 0.968070\nName: 2048, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5801528795459119, std values: 5.137516082989476, min values: 4.609e-06, max values: 40.95, median values: 0.25536, and quantile values: 0.25 0.065947\n0.50 0.255360\n0.75 0.891050\nName: 2049, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6501944566937103, std values: 5.0829918190551275, min values: 3.4313e-06, max values: 39.784, median values: 0.25867, and quantile values: 0.25 0.075781\n0.50 0.258670\n0.75 1.042850\nName: 2050, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.412330495045283, std values: 4.8911319510287825, min values: 2.4958e-06, max values: 39.453, median values: 0.19372, and quantile values: 0.25 0.057947\n0.50 0.193720\n0.75 0.805475\nName: 2051, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3711907764711322, std values: 4.465293656981294, min values: 2.06e-07, max values: 36.781, median values: 0.17589, and quantile values: 0.25 0.046247\n0.50 0.175890\n0.75 0.793360\nName: 2052, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6283086028818239, std values: 5.231433710235451, min values: 7.3911e-07, max values: 45.18, median values: 0.27158, and quantile values: 0.25 0.068303\n0.50 0.271580\n0.75 1.015315\nName: 2053, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3760554516301886, std values: 4.897267761004544, min values: 2.3245e-06, max values: 39.943, median values: 0.19995, and quantile values: 0.25 0.054912\n0.50 0.199950\n0.75 0.817940\nName: 2054, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6382454113054086, std values: 5.153571119459282, min values: 8.9836e-07, max values: 42.889, median values: 0.23954, and quantile values: 0.25 0.060859\n0.50 0.239540\n0.75 1.006475\nName: 2055, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.507862736846541, std values: 4.834290033051284, min values: 2.344e-06, max values: 39.058, median values: 0.25228, and quantile values: 0.25 0.072276\n0.50 0.252280\n0.75 0.982275\nName: 2056, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5293886976383648, std values: 5.236443238037662, min values: 2.3742e-06, max values: 44.544, median values: 0.23336, and quantile values: 0.25 0.061783\n0.50 0.233360\n0.75 0.915130\nName: 2057, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4429262521938995, std values: 4.809658999963681, min values: 4.3213e-07, max values: 38.293, median values: 0.19861, and quantile values: 0.25 0.051949\n0.50 0.198610\n0.75 0.925395\nName: 2058, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.715818779145283, std values: 5.038315380835616, min values: 3.9086e-06, max values: 39.482, median values: 0.28837, and quantile values: 0.25 0.083952\n0.50 0.288370\n0.75 1.180450\nName: 2059, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3562237518342137, std values: 4.694012097095025, min values: 8.3474e-07, max values: 37.941, median values: 0.18216, and quantile values: 0.25 0.048918\n0.50 0.182160\n0.75 0.788665\nName: 2060, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3541268992554718, std values: 4.711716426255352, min values: 9.7572e-07, max values: 38.29, median values: 0.19967, and quantile values: 0.25 0.05758\n0.50 0.19967\n0.75 0.75712\nName: 2061, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5885481278761007, std values: 5.026623785165767, min values: 1.1839e-06, max values: 40.537, median values: 0.27792, and quantile values: 0.25 0.066993\n0.50 0.277920\n0.75 1.115350\nName: 2062, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6957519877861633, std values: 4.769258825274022, min values: 2.0565e-06, max values: 37.444, median values: 0.26123, and quantile values: 0.25 0.070055\n0.50 0.261230\n0.75 1.140200\nName: 2063, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5298094753769813, std values: 4.935104753139251, min values: 2.5884e-07, max values: 40.685, median values: 0.20442, and quantile values: 0.25 0.053229\n0.50 0.204420\n0.75 0.900695\nName: 2064, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6337515507044025, std values: 5.037403947929055, min values: 6.5038e-06, max values: 40.523, median values: 0.27704, and quantile values: 0.25 0.079062\n0.50 0.277040\n0.75 0.993335\nName: 2065, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.652197136100629, std values: 5.278704234654497, min values: 1.0309e-05, max values: 41.967, median values: 0.23862, and quantile values: 0.25 0.083937\n0.50 0.238620\n0.75 0.959365\nName: 2066, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4535386047962264, std values: 5.22174223892362, min values: 2.8145e-06, max values: 44.104, median values: 0.20769, and quantile values: 0.25 0.063041\n0.50 0.207690\n0.75 0.766920\nName: 2067, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4506593562798742, std values: 4.968612467051214, min values: 1.4632e-06, max values: 40.044, median values: 0.2053, and quantile values: 0.25 0.058672\n0.50 0.205300\n0.75 0.874440\nName: 2068, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4194069979657233, std values: 4.678528395009848, min values: 5.0625e-07, max values: 37.714, median values: 0.19767, and quantile values: 0.25 0.054157\n0.50 0.197670\n0.75 0.835665\nName: 2069, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4469396529849057, std values: 5.239611679574782, min values: 1.0939e-06, max values: 45.511, median values: 0.19668, and quantile values: 0.25 0.051035\n0.50 0.196680\n0.75 0.812995\nName: 2070, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5978396518622644, std values: 5.155975188024493, min values: 1.112e-06, max values: 42.777, median values: 0.23446, and quantile values: 0.25 0.070379\n0.50 0.234460\n0.75 1.036600\nName: 2071, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.332803660494214, std values: 4.677737220110984, min values: 4.814e-08, max values: 37.162, median values: 0.18668, and quantile values: 0.25 0.049916\n0.50 0.186680\n0.75 0.824645\nName: 2072, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3677296124113207, std values: 4.9544957933410325, min values: 1.3696e-06, max values: 40.853, median values: 0.17816, and quantile values: 0.25 0.053594\n0.50 0.178160\n0.75 0.748400\nName: 2073, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.0834837042350505, std values: 4.474565769772289, min values: 2.0343e-08, max values: 35.883, median values: 0.11318, and quantile values: 0.25 0.027596\n0.50 0.113180\n0.75 0.460160\nName: 2074, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5736140251823898, std values: 5.023500957081913, min values: 3.121e-06, max values: 39.68, median values: 0.23429, and quantile values: 0.25 0.070972\n0.50 0.234290\n0.75 0.957095\nName: 2075, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5061243612106918, std values: 4.777048112570381, min values: 1.0447e-06, max values: 38.011, median values: 0.20945, and quantile values: 0.25 0.062417\n0.50 0.209450\n0.75 0.968620\nName: 2076, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4819561137469184, std values: 4.925236916820937, min values: 7.3356e-07, max values: 40.04, median values: 0.24964, and quantile values: 0.25 0.069755\n0.50 0.249640\n0.75 0.840395\nName: 2077, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4183287220232705, std values: 4.755411359045147, min values: 1.4696e-06, max values: 38.572, median values: 0.20931, and quantile values: 0.25 0.059670\n0.50 0.209310\n0.75 0.812425\nName: 2078, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4713418277228303, std values: 4.766306383463657, min values: 1.7017e-07, max values: 37.617, median values: 0.21628, and quantile values: 0.25 0.052072\n0.50 0.216280\n0.75 0.820165\nName: 2079, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.560776077900629, std values: 4.970538117620583, min values: 1.2161e-06, max values: 39.329, median values: 0.20662, and quantile values: 0.25 0.065634\n0.50 0.206620\n0.75 0.972855\nName: 2080, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5338944004083646, std values: 4.856460546743326, min values: 1.1708e-07, max values: 39.085, median values: 0.21783, and quantile values: 0.25 0.053715\n0.50 0.217830\n0.75 0.937985\nName: 2081, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.768850322596855, std values: 5.297504812641806, min values: 3.8085e-06, max values: 43.382, median values: 0.26173, and quantile values: 0.25 0.081195\n0.50 0.261730\n0.75 1.207500\nName: 2082, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3168567833183646, std values: 4.876059447320494, min values: 3.0412e-07, max values: 40.943, median values: 0.16923, and quantile values: 0.25 0.047233\n0.50 0.169230\n0.75 0.686615\nName: 2083, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4372420460352202, std values: 4.916431484872157, min values: 1.5615e-06, max values: 39.75, median values: 0.20436, and quantile values: 0.25 0.057972\n0.50 0.204360\n0.75 0.848975\nName: 2084, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.523711810518868, std values: 4.873436320976676, min values: 1.5422e-06, max values: 39.174, median values: 0.23392, and quantile values: 0.25 0.06382\n0.50 0.23392\n0.75 0.95947\nName: 2085, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5543512597761004, std values: 4.91542687089428, min values: 1.6114e-06, max values: 38.922, median values: 0.22616, and quantile values: 0.25 0.064107\n0.50 0.226160\n0.75 1.016000\nName: 2086, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4459538745729559, std values: 5.020342027110307, min values: 1.287e-06, max values: 41.915, median values: 0.2104, and quantile values: 0.25 0.060117\n0.50 0.210400\n0.75 0.846755\nName: 2087, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.42266477171761, std values: 4.800042402139788, min values: 1.731e-06, max values: 39.56, median values: 0.20282, and quantile values: 0.25 0.060284\n0.50 0.202820\n0.75 0.891895\nName: 2088, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2425466073547171, std values: 4.666445525400105, min values: 1.3425e-06, max values: 38.551, median values: 0.15551, and quantile values: 0.25 0.049239\n0.50 0.155510\n0.75 0.682535\nName: 2089, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4553154841352203, std values: 5.081712924111066, min values: 1.0406e-06, max values: 42.582, median values: 0.19015, and quantile values: 0.25 0.053139\n0.50 0.190150\n0.75 0.812905\nName: 2090, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.417149513654717, std values: 4.8113830249247345, min values: 1.4839e-06, max values: 38.318, median values: 0.20659, and quantile values: 0.25 0.061262\n0.50 0.206590\n0.75 0.830165\nName: 2091, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5579564606339624, std values: 5.041692735976453, min values: 2.436e-06, max values: 40.695, median values: 0.22754, and quantile values: 0.25 0.068066\n0.50 0.227540\n0.75 0.968460\nName: 2092, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6533057364257864, std values: 4.946283249733483, min values: 1.3544e-06, max values: 38.92, median values: 0.25859, and quantile values: 0.25 0.070438\n0.50 0.258590\n0.75 1.109100\nName: 2093, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4894134232666667, std values: 5.157164666881254, min values: 3.4023e-06, max values: 42.641, median values: 0.19239, and quantile values: 0.25 0.060688\n0.50 0.192390\n0.75 0.804515\nName: 2094, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3392754213020124, std values: 4.9136238305709075, min values: 8.2542e-07, max values: 41.245, median values: 0.19869, and quantile values: 0.25 0.057554\n0.50 0.198690\n0.75 0.688720\nName: 2095, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4656479064188679, std values: 4.955423726843203, min values: 1.7538e-06, max values: 40.075, median values: 0.23793, and quantile values: 0.25 0.061557\n0.50 0.237930\n0.75 0.852530\nName: 2096, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4317096837817609, std values: 4.9422173891061085, min values: 2.4077e-06, max values: 40.362, median values: 0.21694, and quantile values: 0.25 0.055226\n0.50 0.216940\n0.75 0.892385\nName: 2097, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.521277006457044, std values: 4.775275205457164, min values: 7.0437e-07, max values: 37.481, median values: 0.26363, and quantile values: 0.25 0.063866\n0.50 0.263630\n0.75 0.957330\nName: 2098, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4495344128729561, std values: 4.951730873068103, min values: 2.3118e-06, max values: 39.421, median values: 0.22745, and quantile values: 0.25 0.061328\n0.50 0.227450\n0.75 0.899485\nName: 2099, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5497874304154717, std values: 4.932122973494374, min values: 3.0886e-07, max values: 40.794, median values: 0.24977, and quantile values: 0.25 0.062880\n0.50 0.249770\n0.75 0.962165\nName: 2100, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4228557275294966, std values: 5.134866513068284, min values: 3.8389e-07, max values: 45.022, median values: 0.19717, and quantile values: 0.25 0.053687\n0.50 0.197170\n0.75 0.762505\nName: 2101, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3483867659132074, std values: 4.938535538081833, min values: 2.0755e-06, max values: 39.833, median values: 0.18452, and quantile values: 0.25 0.054093\n0.50 0.184520\n0.75 0.745770\nName: 2102, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.568520843044654, std values: 4.936491256816782, min values: 4.0774e-06, max values: 40.407, median values: 0.27276, and quantile values: 0.25 0.070344\n0.50 0.272760\n0.75 0.924515\nName: 2103, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6315300391893082, std values: 5.0877350861771475, min values: 5.8393e-06, max values: 40.987, median values: 0.25671, and quantile values: 0.25 0.068499\n0.50 0.256710\n0.75 0.938500\nName: 2104, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6118804105949058, std values: 4.7945071787312585, min values: 9.3479e-07, max values: 38.171, median values: 0.28213, and quantile values: 0.25 0.07924\n0.50 0.28213\n0.75 1.11065\nName: 2105, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4827131269779872, std values: 5.091056004596757, min values: 1.6919e-06, max values: 41.906, median values: 0.1938, and quantile values: 0.25 0.057044\n0.50 0.193800\n0.75 0.874575\nName: 2106, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3808417701603772, std values: 4.748442919678433, min values: 2.5088e-06, max values: 39.82, median values: 0.19954, and quantile values: 0.25 0.061961\n0.50 0.199540\n0.75 0.770470\nName: 2107, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3203273820113208, std values: 4.844441179754164, min values: 7.656e-07, max values: 39.426, median values: 0.16737, and quantile values: 0.25 0.053268\n0.50 0.167370\n0.75 0.721775\nName: 2108, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5653665234045913, std values: 5.08396620904939, min values: 4.4773e-07, max values: 43.362, median values: 0.22156, and quantile values: 0.25 0.053873\n0.50 0.221560\n0.75 0.934465\nName: 2109, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.443450831590692, std values: 4.903982731938627, min values: 3.7752e-07, max values: 40.587, median values: 0.21583, and quantile values: 0.25 0.054788\n0.50 0.215830\n0.75 0.823640\nName: 2110, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.520045487442327, std values: 5.053776309106051, min values: 6.2373e-07, max values: 42.761, median values: 0.26156, and quantile values: 0.25 0.060971\n0.50 0.261560\n0.75 0.946140\nName: 2111, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6428774608515726, std values: 5.030513507939881, min values: 1.9155e-06, max values: 39.756, median values: 0.27347, and quantile values: 0.25 0.074824\n0.50 0.273470\n0.75 1.110550\nName: 2112, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.938879569754088, std values: 5.305601593751817, min values: 3.8693e-06, max values: 40.87, median values: 0.38123, and quantile values: 0.25 0.106805\n0.50 0.381230\n0.75 1.394400\nName: 2113, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3889186807567295, std values: 4.72027447579909, min values: 2.5132e-07, max values: 37.903, median values: 0.18433, and quantile values: 0.25 0.055832\n0.50 0.184330\n0.75 0.849195\nName: 2114, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3794308848698111, std values: 4.824166553650377, min values: 4.1062e-07, max values: 40.338, median values: 0.17863, and quantile values: 0.25 0.052588\n0.50 0.178630\n0.75 0.772810\nName: 2115, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.443904251309434, std values: 5.007035571299191, min values: 3.0791e-06, max values: 40.741, median values: 0.19079, and quantile values: 0.25 0.061824\n0.50 0.190790\n0.75 0.830305\nName: 2116, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.626337256990566, std values: 5.116298590034294, min values: 4.5829e-06, max values: 41.301, median values: 0.24186, and quantile values: 0.25 0.071363\n0.50 0.241860\n0.75 1.051250\nName: 2117, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8060427462704405, std values: 5.1571523610899135, min values: 1.8567e-06, max values: 41.235, median values: 0.34551, and quantile values: 0.25 0.093717\n0.50 0.345510\n0.75 1.279500\nName: 2118, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.599468812025786, std values: 5.157702860261114, min values: 4.7333e-06, max values: 41.374, median values: 0.25354, and quantile values: 0.25 0.077233\n0.50 0.253540\n0.75 0.913240\nName: 2119, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.373217050196478, std values: 4.862061507857137, min values: 8.4384e-07, max values: 39.739, median values: 0.18776, and quantile values: 0.25 0.055667\n0.50 0.187760\n0.75 0.769190\nName: 2120, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2445717102772957, std values: 4.367535886147979, min values: 1.3749e-07, max values: 37.51, median values: 0.1687, and quantile values: 0.25 0.04229\n0.50 0.16870\n0.75 0.69631\nName: 2121, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3476658044101884, std values: 4.746525592195526, min values: 3.2542e-07, max values: 38.788, median values: 0.20719, and quantile values: 0.25 0.058621\n0.50 0.207190\n0.75 0.787010\nName: 2122, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3865490952484276, std values: 4.888846770105712, min values: 1.6181e-06, max values: 39.604, median values: 0.19831, and quantile values: 0.25 0.056571\n0.50 0.198310\n0.75 0.805540\nName: 2123, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2412818695710253, std values: 4.790075807303898, min values: 1.1623e-08, max values: 40.99, median values: 0.10666, and quantile values: 0.25 0.032345\n0.50 0.106660\n0.75 0.589550\nName: 2124, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4478245200226416, std values: 4.76033997914943, min values: 2.2166e-06, max values: 39.189, median values: 0.24224, and quantile values: 0.25 0.058728\n0.50 0.242240\n0.75 0.862880\nName: 2125, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5015109810850316, std values: 5.08865285518807, min values: 5.8582e-07, max values: 43.26, median values: 0.22168, and quantile values: 0.25 0.056332\n0.50 0.221680\n0.75 0.842400\nName: 2126, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4625816803398366, std values: 5.150201180191318, min values: 1.8744e-08, max values: 45.952, median values: 0.18929, and quantile values: 0.25 0.041926\n0.50 0.189290\n0.75 0.801200\nName: 2127, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5570653306197673, std values: 5.095680853397924, min values: 3.1553e-08, max values: 43.801, median values: 0.20305, and quantile values: 0.25 0.05253\n0.50 0.20305\n0.75 1.04965\nName: 2128, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9165401988666668, std values: 5.260765196158338, min values: 3.2769e-06, max values: 40.493, median values: 0.33923, and quantile values: 0.25 0.101706\n0.50 0.339230\n0.75 1.388900\nName: 2129, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4018413473962263, std values: 4.640420456442912, min values: 2.1624e-06, max values: 38.165, median values: 0.22993, and quantile values: 0.25 0.070052\n0.50 0.229930\n0.75 0.826045\nName: 2130, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5344220269660376, std values: 4.9954551560273295, min values: 2.5154e-06, max values: 39.945, median values: 0.27113, and quantile values: 0.25 0.066466\n0.50 0.271130\n0.75 0.931080\nName: 2131, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5303047279091195, std values: 5.138492128777703, min values: 7.0535e-07, max values: 44.524, median values: 0.21091, and quantile values: 0.25 0.062928\n0.50 0.210910\n0.75 0.882030\nName: 2132, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4228695500100625, std values: 4.873298773602697, min values: 2.47e-06, max values: 39.55, median values: 0.23216, and quantile values: 0.25 0.065095\n0.50 0.232160\n0.75 0.792535\nName: 2133, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3732908927163523, std values: 4.802330193331137, min values: 1.0156e-06, max values: 38.244, median values: 0.18123, and quantile values: 0.25 0.055237\n0.50 0.181230\n0.75 0.804850\nName: 2134, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5057682367044025, std values: 4.8134073099939165, min values: 2.1476e-06, max values: 39.178, median values: 0.23615, and quantile values: 0.25 0.070828\n0.50 0.236150\n0.75 0.973750\nName: 2135, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5579231211781133, std values: 5.211403634650908, min values: 7.5142e-07, max values: 45.006, median values: 0.21326, and quantile values: 0.25 0.060633\n0.50 0.213260\n0.75 0.964670\nName: 2136, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.319697083383019, std values: 4.828272653803454, min values: 2.3241e-06, max values: 40.066, median values: 0.18552, and quantile values: 0.25 0.048931\n0.50 0.185520\n0.75 0.711575\nName: 2137, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6025134650867925, std values: 5.016941989916723, min values: 3.6353e-06, max values: 40.08, median values: 0.25484, and quantile values: 0.25 0.070912\n0.50 0.254840\n0.75 1.047800\nName: 2138, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.409073445030189, std values: 4.796460938479333, min values: 2.3716e-06, max values: 39.872, median values: 0.19314, and quantile values: 0.25 0.058744\n0.50 0.193140\n0.75 0.781465\nName: 2139, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5679350221908177, std values: 5.0338795705894785, min values: 3.0474e-07, max values: 41.964, median values: 0.24325, and quantile values: 0.25 0.06788\n0.50 0.24325\n0.75 0.99522\nName: 2140, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7528246862818868, std values: 5.217264006526455, min values: 7.6692e-07, max values: 43.261, median values: 0.31852, and quantile values: 0.25 0.080862\n0.50 0.318520\n0.75 1.240700\nName: 2141, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4428907076496227, std values: 4.9626250633266995, min values: 4.4189e-07, max values: 42.088, median values: 0.22491, and quantile values: 0.25 0.057637\n0.50 0.224910\n0.75 0.829620\nName: 2142, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4589125076183647, std values: 4.771186259401787, min values: 5.8382e-07, max values: 37.757, median values: 0.21187, and quantile values: 0.25 0.056756\n0.50 0.211870\n0.75 0.882390\nName: 2143, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5593796680613838, std values: 4.968347467004691, min values: 8.9806e-07, max values: 39.679, median values: 0.2258, and quantile values: 0.25 0.071089\n0.50 0.225800\n0.75 0.981830\nName: 2144, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5549532994313209, std values: 4.954438840811569, min values: 4.7858e-07, max values: 40.512, median values: 0.26007, and quantile values: 0.25 0.065562\n0.50 0.260070\n0.75 1.012350\nName: 2145, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4127198696772956, std values: 4.687265366495473, min values: 5.1969e-07, max values: 36.979, median values: 0.16524, and quantile values: 0.25 0.046714\n0.50 0.165240\n0.75 0.841840\nName: 2146, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4497571909779874, std values: 4.950416366324962, min values: 1.9196e-06, max values: 39.599, median values: 0.21791, and quantile values: 0.25 0.063683\n0.50 0.217910\n0.75 0.871815\nName: 2147, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5481971711502514, std values: 4.968632395630061, min values: 6.0309e-07, max values: 40.022, median values: 0.24448, and quantile values: 0.25 0.069805\n0.50 0.244480\n0.75 0.933940\nName: 2148, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5793547296610064, std values: 4.91311845764433, min values: 1.1985e-06, max values: 39.228, median values: 0.28124, and quantile values: 0.25 0.072328\n0.50 0.281240\n0.75 1.055400\nName: 2149, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4724301791798742, std values: 4.83665086640893, min values: 3.0887e-06, max values: 39.401, median values: 0.25366, and quantile values: 0.25 0.071578\n0.50 0.253660\n0.75 0.891765\nName: 2150, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5245601257930819, std values: 5.219435432835383, min values: 3.6754e-06, max values: 43.249, median values: 0.21861, and quantile values: 0.25 0.063776\n0.50 0.218610\n0.75 0.855475\nName: 2151, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4474411123215092, std values: 4.756448372438621, min values: 3.9392e-07, max values: 37.568, median values: 0.20429, and quantile values: 0.25 0.06096\n0.50 0.20429\n0.75 0.90265\nName: 2152, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.638080892408176, std values: 4.9926386993394365, min values: 1.8447e-06, max values: 39.21, median values: 0.27782, and quantile values: 0.25 0.080867\n0.50 0.277820\n0.75 1.095100\nName: 2153, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5116244642855345, std values: 5.001385024269802, min values: 2.961e-06, max values: 39.977, median values: 0.2322, and quantile values: 0.25 0.062310\n0.50 0.232200\n0.75 0.870685\nName: 2154, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5546552233905662, std values: 5.232565102200561, min values: 1.194e-06, max values: 45.225, median values: 0.21778, and quantile values: 0.25 0.061433\n0.50 0.217780\n0.75 0.916030\nName: 2155, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.491139172815723, std values: 5.059887182144099, min values: 4.8522e-06, max values: 40.201, median values: 0.23476, and quantile values: 0.25 0.070466\n0.50 0.234760\n0.75 0.822225\nName: 2156, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5292571788301257, std values: 4.768142941931118, min values: 3.2379e-07, max values: 37.107, median values: 0.21337, and quantile values: 0.25 0.061873\n0.50 0.213370\n0.75 0.927770\nName: 2157, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3363108459684276, std values: 4.6994702064908545, min values: 3.6058e-07, max values: 37.431, median values: 0.17881, and quantile values: 0.25 0.05465\n0.50 0.17881\n0.75 0.74854\nName: 2158, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3188112050537737, std values: 4.69283671425651, min values: 3.6925e-07, max values: 37.82, median values: 0.18779, and quantile values: 0.25 0.05392\n0.50 0.18779\n0.75 0.75448\nName: 2159, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5526924522232701, std values: 5.006461024715814, min values: 6.259e-07, max values: 39.721, median values: 0.21849, and quantile values: 0.25 0.068034\n0.50 0.218490\n0.75 0.936195\nName: 2160, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.471849131536478, std values: 4.9442260801914975, min values: 4.5835e-06, max values: 41.096, median values: 0.22881, and quantile values: 0.25 0.054400\n0.50 0.228810\n0.75 0.827945\nName: 2161, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6218994339735848, std values: 4.898407107714, min values: 2.783e-06, max values: 39.163, median values: 0.304, and quantile values: 0.25 0.073689\n0.50 0.304000\n0.75 1.102700\nName: 2162, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4039035899408805, std values: 4.903475363436305, min values: 2.13e-06, max values: 40.333, median values: 0.18034, and quantile values: 0.25 0.057052\n0.50 0.180340\n0.75 0.784230\nName: 2163, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3530408147249056, std values: 4.688741396799434, min values: 8.9306e-07, max values: 38.396, median values: 0.18132, and quantile values: 0.25 0.049033\n0.50 0.181320\n0.75 0.722845\nName: 2164, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3510644167283332, std values: 4.7580778702888935, min values: 1.8005e-08, max values: 38.149, median values: 0.18458, and quantile values: 0.25 0.045765\n0.50 0.184580\n0.75 0.771345\nName: 2165, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3280414369308173, std values: 4.885006604475914, min values: 1.0265e-06, max values: 39.568, median values: 0.15034, and quantile values: 0.25 0.050109\n0.50 0.150340\n0.75 0.714460\nName: 2166, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4659098062410691, std values: 4.842098104043223, min values: 6.6833e-07, max values: 38.36, median values: 0.24628, and quantile values: 0.25 0.059019\n0.50 0.246280\n0.75 0.938135\nName: 2167, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.758252184901887, std values: 4.96739872556374, min values: 1.4799e-06, max values: 37.621, median values: 0.273, and quantile values: 0.25 0.078088\n0.50 0.273000\n0.75 1.149250\nName: 2168, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.289376997409805, std values: 4.898095714110225, min values: 1.7209e-08, max values: 41.645, median values: 0.15439, and quantile values: 0.25 0.04179\n0.50 0.15439\n0.75 0.73157\nName: 2169, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3266051064421382, std values: 4.59883112192074, min values: 1.0568e-06, max values: 37.716, median values: 0.18041, and quantile values: 0.25 0.055742\n0.50 0.180410\n0.75 0.737750\nName: 2170, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.578693645601887, std values: 5.084469726080167, min values: 4.1202e-06, max values: 40.504, median values: 0.24723, and quantile values: 0.25 0.069814\n0.50 0.247230\n0.75 0.967480\nName: 2171, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3397426705968554, std values: 4.6470009306026, min values: 1.4906e-06, max values: 38.755, median values: 0.1699, and quantile values: 0.25 0.047829\n0.50 0.169900\n0.75 0.785260\nName: 2172, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4617099683534591, std values: 4.714954105741184, min values: 7.364e-07, max values: 38.042, median values: 0.25231, and quantile values: 0.25 0.062377\n0.50 0.252310\n0.75 0.916910\nName: 2173, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5957973425427674, std values: 5.094636408495509, min values: 4.5955e-06, max values: 40.511, median values: 0.2518, and quantile values: 0.25 0.075825\n0.50 0.251800\n0.75 0.925385\nName: 2174, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2951754726548428, std values: 4.583144131926871, min values: 3.6142e-07, max values: 36.488, median values: 0.16469, and quantile values: 0.25 0.051009\n0.50 0.164690\n0.75 0.743900\nName: 2175, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4387795721471697, std values: 4.821020229485036, min values: 3.1843e-06, max values: 40.633, median values: 0.23233, and quantile values: 0.25 0.066486\n0.50 0.232330\n0.75 0.793450\nName: 2176, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5755076559591197, std values: 4.870492979388363, min values: 3.16e-08, max values: 38.506, median values: 0.27737, and quantile values: 0.25 0.062315\n0.50 0.277370\n0.75 1.078800\nName: 2177, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.364885620944654, std values: 4.91818355340093, min values: 1.9085e-06, max values: 40.267, median values: 0.20189, and quantile values: 0.25 0.052064\n0.50 0.201890\n0.75 0.767395\nName: 2178, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5056614640226416, std values: 4.96119938843243, min values: 2.2326e-06, max values: 39.415, median values: 0.21748, and quantile values: 0.25 0.069167\n0.50 0.217480\n0.75 0.901450\nName: 2179, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4852494179112579, std values: 4.947964089154711, min values: 8.9179e-07, max values: 39.938, median values: 0.20408, and quantile values: 0.25 0.053592\n0.50 0.204080\n0.75 0.810215\nName: 2180, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7500885514232705, std values: 5.112850126274387, min values: 2.7117e-06, max values: 39.606, median values: 0.29051, and quantile values: 0.25 0.084022\n0.50 0.290510\n0.75 1.240850\nName: 2181, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6385779490371069, std values: 5.173920154765871, min values: 3.793e-06, max values: 41.812, median values: 0.26424, and quantile values: 0.25 0.075912\n0.50 0.264240\n0.75 1.013590\nName: 2182, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8754773273006289, std values: 5.544068238038595, min values: 5.4113e-06, max values: 45.524, median values: 0.34741, and quantile values: 0.25 0.088678\n0.50 0.347410\n0.75 1.260800\nName: 2183, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4805085917614464, std values: 5.323783818859134, min values: 6.259e-07, max values: 48.402, median values: 0.17478, and quantile values: 0.25 0.050035\n0.50 0.174780\n0.75 0.791265\nName: 2184, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4216377800042768, std values: 4.716573813253899, min values: 5.6158e-07, max values: 37.881, median values: 0.21129, and quantile values: 0.25 0.057270\n0.50 0.211290\n0.75 0.902615\nName: 2185, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.299605001193585, std values: 4.564215177043932, min values: 6.8988e-07, max values: 37.921, median values: 0.20843, and quantile values: 0.25 0.052200\n0.50 0.208430\n0.75 0.700545\nName: 2186, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4159617266824467, std values: 4.880686595385301, min values: 1.3639e-08, max values: 40.688, median values: 0.16956, and quantile values: 0.25 0.044717\n0.50 0.169560\n0.75 0.801365\nName: 2187, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5597184632155974, std values: 5.017724992695453, min values: 2.7633e-07, max values: 42.286, median values: 0.24394, and quantile values: 0.25 0.054544\n0.50 0.243940\n0.75 0.927885\nName: 2188, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4008221888842136, std values: 4.782618545937178, min values: 1.3366e-07, max values: 39.443, median values: 0.2344, and quantile values: 0.25 0.060710\n0.50 0.234400\n0.75 0.861565\nName: 2189, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6384558592672955, std values: 5.183207297214635, min values: 1.3754e-06, max values: 43.622, median values: 0.24768, and quantile values: 0.25 0.069252\n0.50 0.247680\n0.75 1.086300\nName: 2190, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5087233142157233, std values: 4.994257699107114, min values: 3.9086e-06, max values: 40.494, median values: 0.24408, and quantile values: 0.25 0.064372\n0.50 0.244080\n0.75 0.862750\nName: 2191, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4045417953948427, std values: 4.885544518010771, min values: 6.0658e-07, max values: 40.124, median values: 0.16944, and quantile values: 0.25 0.049533\n0.50 0.169440\n0.75 0.818735\nName: 2192, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.453000247501258, std values: 4.996322167758262, min values: 1.7613e-06, max values: 40.782, median values: 0.23453, and quantile values: 0.25 0.068008\n0.50 0.234530\n0.75 0.887385\nName: 2193, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5096369124220126, std values: 5.159400043694235, min values: 4.3497e-06, max values: 41.217, median values: 0.21127, and quantile values: 0.25 0.066508\n0.50 0.211270\n0.75 0.782945\nName: 2194, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6283053503554716, std values: 5.078920141668329, min values: 6.5042e-07, max values: 42.168, median values: 0.25082, and quantile values: 0.25 0.069918\n0.50 0.250820\n0.75 1.068750\nName: 2195, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5938892517610064, std values: 5.219298468550412, min values: 2.1403e-06, max values: 43.786, median values: 0.25029, and quantile values: 0.25 0.066073\n0.50 0.250290\n0.75 0.965935\nName: 2196, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5656437937830185, std values: 4.9022637597174965, min values: 1.3764e-06, max values: 39.564, median values: 0.22464, and quantile values: 0.25 0.065591\n0.50 0.224640\n0.75 1.065350\nName: 2197, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.315910239545912, std values: 4.9554695063542304, min values: 1.1819e-06, max values: 41.206, median values: 0.16603, and quantile values: 0.25 0.055504\n0.50 0.166030\n0.75 0.686690\nName: 2198, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5062300208484276, std values: 4.87988756537991, min values: 3.5439e-06, max values: 40.156, median values: 0.25175, and quantile values: 0.25 0.070665\n0.50 0.251750\n0.75 0.877645\nName: 2199, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2764881307162266, std values: 4.639893216669373, min values: 6.1778e-07, max values: 37.694, median values: 0.14221, and quantile values: 0.25 0.052624\n0.50 0.142210\n0.75 0.694705\nName: 2200, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3453169453732705, std values: 4.4848756640952, min values: 1.9365e-07, max values: 36.717, median values: 0.18966, and quantile values: 0.25 0.057648\n0.50 0.189660\n0.75 0.790140\nName: 2201, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6645464718389935, std values: 5.329852612068001, min values: 5.7914e-06, max values: 42.35, median values: 0.25985, and quantile values: 0.25 0.071461\n0.50 0.259850\n0.75 0.987445\nName: 2202, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7061878561000001, std values: 5.332680812313745, min values: 1.6221e-06, max values: 45.449, median values: 0.3171, and quantile values: 0.25 0.071763\n0.50 0.317100\n0.75 1.104950\nName: 2203, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5370889929383647, std values: 5.307729506901011, min values: 5.6287e-06, max values: 43.481, median values: 0.22874, and quantile values: 0.25 0.064052\n0.50 0.228740\n0.75 0.831960\nName: 2204, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.417001349063522, std values: 4.866088141241316, min values: 1.9054e-06, max values: 38.798, median values: 0.21002, and quantile values: 0.25 0.058476\n0.50 0.210020\n0.75 0.820040\nName: 2205, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5528237478006288, std values: 5.179593556355891, min values: 1.4342e-06, max values: 43.852, median values: 0.23342, and quantile values: 0.25 0.06252\n0.50 0.23342\n0.75 0.93736\nName: 2206, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.334381885875283, std values: 4.894758022667512, min values: 6.5797e-07, max values: 40.54, median values: 0.17502, and quantile values: 0.25 0.054578\n0.50 0.175020\n0.75 0.707500\nName: 2207, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3136627632245284, std values: 4.608803601186794, min values: 1.1762e-06, max values: 38.565, median values: 0.20949, and quantile values: 0.25 0.054446\n0.50 0.209490\n0.75 0.805105\nName: 2208, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3727286837793709, std values: 4.82264576955287, min values: 7.7962e-07, max values: 39.291, median values: 0.1671, and quantile values: 0.25 0.050008\n0.50 0.167100\n0.75 0.778410\nName: 2209, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3981826822603771, std values: 4.61536272285978, min values: 1.2234e-06, max values: 39.146, median values: 0.20515, and quantile values: 0.25 0.058781\n0.50 0.205150\n0.75 0.844825\nName: 2210, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.539283756514654, std values: 4.980689539621982, min values: 6.7123e-07, max values: 40.62, median values: 0.22408, and quantile values: 0.25 0.064402\n0.50 0.224080\n0.75 1.028550\nName: 2211, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8792772594245284, std values: 5.419684431203919, min values: 5.6735e-06, max values: 42.664, median values: 0.32549, and quantile values: 0.25 0.100405\n0.50 0.325490\n0.75 1.234450\nName: 2212, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4221122432157234, std values: 4.889689621731017, min values: 1.3684e-06, max values: 38.933, median values: 0.23226, and quantile values: 0.25 0.064155\n0.50 0.232260\n0.75 0.818455\nName: 2213, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4712911168831382, std values: 4.81718143405329, min values: 1.7409e-08, max values: 38.908, median values: 0.20578, and quantile values: 0.25 0.051785\n0.50 0.205780\n0.75 0.912385\nName: 2214, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4673277825704403, std values: 4.9227559907458485, min values: 4.4681e-06, max values: 40.275, median values: 0.22449, and quantile values: 0.25 0.064902\n0.50 0.224490\n0.75 0.836935\nName: 2215, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6402636353549054, std values: 5.207969835728026, min values: 4.1303e-07, max values: 44.729, median values: 0.2418, and quantile values: 0.25 0.067161\n0.50 0.241800\n0.75 1.077000\nName: 2216, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4427798561729557, std values: 4.860168285077165, min values: 1.5679e-06, max values: 39.194, median values: 0.20011, and quantile values: 0.25 0.059437\n0.50 0.200110\n0.75 0.887530\nName: 2217, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6355513910930821, std values: 5.26795214500429, min values: 1.5867e-06, max values: 44.205, median values: 0.23225, and quantile values: 0.25 0.071152\n0.50 0.232250\n0.75 1.037900\nName: 2218, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5935596075062894, std values: 4.93804238293779, min values: 2.0147e-06, max values: 38.963, median values: 0.2653, and quantile values: 0.25 0.071166\n0.50 0.265300\n0.75 1.047650\nName: 2219, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4819857406446542, std values: 4.947042010790152, min values: 2.9651e-06, max values: 39.52, median values: 0.21961, and quantile values: 0.25 0.06566\n0.50 0.21961\n0.75 0.87594\nName: 2220, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3270861129515723, std values: 4.76421770648495, min values: 3.0193e-06, max values: 39.828, median values: 0.17761, and quantile values: 0.25 0.051862\n0.50 0.177610\n0.75 0.730135\nName: 2221, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.401141086841509, std values: 4.676600347442466, min values: 1.0621e-07, max values: 36.729, median values: 0.18174, and quantile values: 0.25 0.045407\n0.50 0.181740\n0.75 0.790430\nName: 2222, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3671541916301888, std values: 4.912083919232122, min values: 1.8393e-06, max values: 39.887, median values: 0.21203, and quantile values: 0.25 0.05561\n0.50 0.21203\n0.75 0.77270\nName: 2223, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.380330881122629, std values: 4.688506133171079, min values: 2.0226e-08, max values: 38.504, median values: 0.18562, and quantile values: 0.25 0.036316\n0.50 0.185620\n0.75 0.768125\nName: 2224, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.648816105764151, std values: 5.192738787476224, min values: 1.2554e-06, max values: 43.65, median values: 0.25681, and quantile values: 0.25 0.074506\n0.50 0.256810\n0.75 1.096700\nName: 2225, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3877626279616353, std values: 4.956278509830202, min values: 1.4087e-06, max values: 41.493, median values: 0.19644, and quantile values: 0.25 0.053769\n0.50 0.196440\n0.75 0.760920\nName: 2226, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3962457987610064, std values: 4.828925968382671, min values: 6.2673e-06, max values: 42.019, median values: 0.19523, and quantile values: 0.25 0.063186\n0.50 0.195230\n0.75 0.747535\nName: 2227, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4155827378420127, std values: 4.784849118537696, min values: 7.3938e-07, max values: 38.009, median values: 0.21463, and quantile values: 0.25 0.053760\n0.50 0.214630\n0.75 0.815885\nName: 2228, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3092959604698113, std values: 4.941748912673394, min values: 2.8977e-06, max values: 40.618, median values: 0.16936, and quantile values: 0.25 0.053351\n0.50 0.169360\n0.75 0.614350\nName: 2229, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5556117085798742, std values: 5.356825411401352, min values: 4.3286e-06, max values: 44.394, median values: 0.23992, and quantile values: 0.25 0.063071\n0.50 0.239920\n0.75 0.773330\nName: 2230, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4930549487874214, std values: 5.068913093261365, min values: 1.4368e-06, max values: 42.058, median values: 0.20668, and quantile values: 0.25 0.060947\n0.50 0.206680\n0.75 0.998505\nName: 2231, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3619083623787926, std values: 4.580285608448292, min values: 2.5328e-08, max values: 37.314, median values: 0.20283, and quantile values: 0.25 0.051364\n0.50 0.202830\n0.75 0.856455\nName: 2232, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.546973558944025, std values: 4.652839245007721, min values: 2.336e-06, max values: 39.036, median values: 0.2663, and quantile values: 0.25 0.082923\n0.50 0.266300\n0.75 1.001970\nName: 2233, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5782763923339624, std values: 5.243539645684305, min values: 3.184e-06, max values: 43.226, median values: 0.25938, and quantile values: 0.25 0.074740\n0.50 0.259380\n0.75 0.946355\nName: 2234, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.502526153412075, std values: 5.299626889655526, min values: 4.3352e-07, max values: 47.134, median values: 0.20215, and quantile values: 0.25 0.057838\n0.50 0.202150\n0.75 0.787455\nName: 2235, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7000201099974843, std values: 5.249465832710976, min values: 1.1553e-06, max values: 44.61, median values: 0.26277, and quantile values: 0.25 0.070737\n0.50 0.262770\n0.75 1.125350\nName: 2236, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.389802305795786, std values: 4.5723335289447595, min values: 8.5673e-07, max values: 38.258, median values: 0.18981, and quantile values: 0.25 0.060331\n0.50 0.189810\n0.75 0.862915\nName: 2237, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3684652077127044, std values: 5.08635599030344, min values: 7.9902e-07, max values: 44.128, median values: 0.16838, and quantile values: 0.25 0.053389\n0.50 0.168380\n0.75 0.744910\nName: 2238, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.52524988162956, std values: 5.075257080724613, min values: 1.7954e-06, max values: 41.533, median values: 0.21874, and quantile values: 0.25 0.062957\n0.50 0.218740\n0.75 0.977970\nName: 2239, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5878474456383647, std values: 5.141603648439357, min values: 7.9123e-06, max values: 40.591, median values: 0.18708, and quantile values: 0.25 0.063071\n0.50 0.187080\n0.75 0.779400\nName: 2240, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.548373797245283, std values: 5.031846973782923, min values: 4.3058e-06, max values: 40.162, median values: 0.25743, and quantile values: 0.25 0.072313\n0.50 0.257430\n0.75 0.915635\nName: 2241, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5728375779163524, std values: 4.998116090557749, min values: 5.2288e-06, max values: 40.713, median values: 0.24953, and quantile values: 0.25 0.072788\n0.50 0.249530\n0.75 0.950885\nName: 2242, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4976522395185219, std values: 4.816744112370582, min values: 2.1545e-08, max values: 38.59, median values: 0.22394, and quantile values: 0.25 0.060948\n0.50 0.223940\n0.75 0.940260\nName: 2243, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5236916134968557, std values: 4.891508041248361, min values: 1.3764e-06, max values: 38.539, median values: 0.25133, and quantile values: 0.25 0.068286\n0.50 0.251330\n0.75 0.940590\nName: 2244, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.56792671558, std values: 5.2486668511109285, min values: 4.6392e-07, max values: 46.089, median values: 0.21271, and quantile values: 0.25 0.063997\n0.50 0.212710\n0.75 0.903770\nName: 2245, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2589944357420755, std values: 4.806558175559426, min values: 8.7139e-07, max values: 39.354, median values: 0.13849, and quantile values: 0.25 0.044359\n0.50 0.138490\n0.75 0.682255\nName: 2246, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.511234341081761, std values: 4.641134041611571, min values: 2.943e-08, max values: 37.254, median values: 0.18948, and quantile values: 0.25 0.050259\n0.50 0.189480\n0.75 0.984475\nName: 2247, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2258067715233332, std values: 4.894915496502588, min values: 8.4611e-07, max values: 41.451, median values: 0.14385, and quantile values: 0.25 0.048989\n0.50 0.143850\n0.75 0.636870\nName: 2248, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.389590935620717, std values: 4.638845672189593, min values: 2.5374e-08, max values: 37.348, median values: 0.20708, and quantile values: 0.25 0.051874\n0.50 0.207080\n0.75 0.805025\nName: 2249, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9072516590496853, std values: 5.617437128513068, min values: 2.4296e-06, max values: 48.838, median values: 0.31937, and quantile values: 0.25 0.091658\n0.50 0.319370\n0.75 1.298100\nName: 2250, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4854930310685532, std values: 4.949599906295033, min values: 1.3865e-06, max values: 39.974, median values: 0.21877, and quantile values: 0.25 0.064205\n0.50 0.218770\n0.75 0.949030\nName: 2251, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6759140244500002, std values: 5.150127926463286, min values: 8.7535e-07, max values: 42.607, median values: 0.28238, and quantile values: 0.25 0.069256\n0.50 0.282380\n0.75 1.153600\nName: 2252, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3636368966572328, std values: 5.0418705112680495, min values: 2.3848e-06, max values: 41.372, median values: 0.19229, and quantile values: 0.25 0.056409\n0.50 0.192290\n0.75 0.682255\nName: 2253, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2900918663848364, std values: 4.6589336199586375, min values: 9.6589e-08, max values: 37.402, median values: 0.16412, and quantile values: 0.25 0.051332\n0.50 0.164120\n0.75 0.744505\nName: 2254, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.474733662844025, std values: 5.054823722608435, min values: 2.3228e-06, max values: 41.051, median values: 0.24565, and quantile values: 0.25 0.071563\n0.50 0.245650\n0.75 0.922300\nName: 2255, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5649937289394906, std values: 5.181757865015538, min values: 2.1369e-08, max values: 45.378, median values: 0.20701, and quantile values: 0.25 0.049916\n0.50 0.207010\n0.75 0.947545\nName: 2256, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.66712681518805, std values: 5.244348864158236, min values: 4.9361e-06, max values: 41.743, median values: 0.25408, and quantile values: 0.25 0.060249\n0.50 0.254080\n0.75 0.957985\nName: 2257, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3271960835509433, std values: 4.832545786526901, min values: 2.9687e-06, max values: 40.219, median values: 0.19018, and quantile values: 0.25 0.056196\n0.50 0.190180\n0.75 0.679955\nName: 2258, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.659461925462264, std values: 5.091282811386998, min values: 4.9591e-06, max values: 40.338, median values: 0.29382, and quantile values: 0.25 0.078872\n0.50 0.293820\n0.75 1.103750\nName: 2259, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5636064359924526, std values: 5.011895198305956, min values: 2.9623e-06, max values: 39.646, median values: 0.23315, and quantile values: 0.25 0.071273\n0.50 0.233150\n0.75 0.954130\nName: 2260, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4407961774871068, std values: 4.966532086536383, min values: 7.9805e-07, max values: 41.477, median values: 0.19241, and quantile values: 0.25 0.053394\n0.50 0.192410\n0.75 0.888445\nName: 2261, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5808178198213838, std values: 4.980607392801544, min values: 4.4953e-06, max values: 40.904, median values: 0.25694, and quantile values: 0.25 0.074623\n0.50 0.256940\n0.75 0.971670\nName: 2262, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7395814997761005, std values: 5.096202142167418, min values: 2.4571e-06, max values: 39.599, median values: 0.3032, and quantile values: 0.25 0.089946\n0.50 0.303200\n0.75 1.169900\nName: 2263, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2400109906792454, std values: 4.626916118383191, min values: 1.4312e-07, max values: 36.931, median values: 0.15907, and quantile values: 0.25 0.041428\n0.50 0.159070\n0.75 0.605435\nName: 2264, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6186147746949688, std values: 4.8050133567375966, min values: 2.0637e-06, max values: 38.75, median values: 0.28906, and quantile values: 0.25 0.07630\n0.50 0.28906\n0.75 1.10055\nName: 2265, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.554968211255346, std values: 4.714739196392484, min values: 1.6319e-06, max values: 38.164, median values: 0.24631, and quantile values: 0.25 0.068843\n0.50 0.246310\n0.75 1.046050\nName: 2266, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.552549194063912, std values: 5.0277134764053395, min values: 1.4782e-08, max values: 42.801, median values: 0.22685, and quantile values: 0.25 0.048506\n0.50 0.226850\n0.75 0.942275\nName: 2267, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4795304382704404, std values: 5.010585001056531, min values: 3.9056e-06, max values: 40.389, median values: 0.23818, and quantile values: 0.25 0.063884\n0.50 0.238180\n0.75 0.891570\nName: 2268, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.403899405828931, std values: 4.722271004967475, min values: 3.4072e-06, max values: 40.455, median values: 0.20455, and quantile values: 0.25 0.057905\n0.50 0.204550\n0.75 0.744255\nName: 2269, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3176040346448867, std values: 4.567320423615566, min values: 2.0007e-08, max values: 35.996, median values: 0.16351, and quantile values: 0.25 0.037333\n0.50 0.163510\n0.75 0.740815\nName: 2270, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3767157043251572, std values: 4.777948503827472, min values: 1.2017e-06, max values: 39.078, median values: 0.20383, and quantile values: 0.25 0.055690\n0.50 0.203830\n0.75 0.777255\nName: 2271, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5589519244158492, std values: 4.914269262810002, min values: 6.8272e-07, max values: 39.692, median values: 0.23159, and quantile values: 0.25 0.062529\n0.50 0.231590\n0.75 0.923210\nName: 2272, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.488735923655975, std values: 5.042855902387395, min values: 2.0192e-06, max values: 40.234, median values: 0.23164, and quantile values: 0.25 0.069840\n0.50 0.231640\n0.75 0.823035\nName: 2273, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.449653740272956, std values: 4.796109940056227, min values: 2.9363e-06, max values: 39.694, median values: 0.22016, and quantile values: 0.25 0.075498\n0.50 0.220160\n0.75 0.858555\nName: 2274, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4522134378874214, std values: 5.045574823531311, min values: 3.1929e-06, max values: 41.237, median values: 0.22259, and quantile values: 0.25 0.061430\n0.50 0.222590\n0.75 0.827155\nName: 2275, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5207346820415093, std values: 5.125990262939381, min values: 3.1358e-06, max values: 41.018, median values: 0.23565, and quantile values: 0.25 0.068298\n0.50 0.235650\n0.75 0.835855\nName: 2276, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3988717820744656, std values: 4.71432431374241, min values: 8.1174e-07, max values: 37.769, median values: 0.20624, and quantile values: 0.25 0.059873\n0.50 0.206240\n0.75 0.865580\nName: 2277, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7298496155616416, std values: 5.180900193728062, min values: 2.4272e-08, max values: 44.275, median values: 0.22778, and quantile values: 0.25 0.049168\n0.50 0.227780\n0.75 1.066200\nName: 2278, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2560575631079498, std values: 4.630359897686084, min values: 2.6854e-08, max values: 37.447, median values: 0.15616, and quantile values: 0.25 0.036561\n0.50 0.156160\n0.75 0.656025\nName: 2279, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4110393115566038, std values: 5.045405109763733, min values: 2.7636e-06, max values: 40.54, median values: 0.19948, and quantile values: 0.25 0.055078\n0.50 0.199480\n0.75 0.725960\nName: 2280, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4861075034201254, std values: 4.900325789200464, min values: 1.2625e-06, max values: 39.047, median values: 0.20682, and quantile values: 0.25 0.056847\n0.50 0.206820\n0.75 0.953155\nName: 2281, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3107619191149056, std values: 4.576869004548964, min values: 8.3307e-07, max values: 37.81, median values: 0.19683, and quantile values: 0.25 0.058096\n0.50 0.196830\n0.75 0.756020\nName: 2282, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4881388897132075, std values: 4.9535023766616835, min values: 2.5958e-06, max values: 40.047, median values: 0.22258, and quantile values: 0.25 0.060486\n0.50 0.222580\n0.75 0.972205\nName: 2283, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3620211116031449, std values: 4.815199815806155, min values: 2.6216e-06, max values: 39.668, median values: 0.18536, and quantile values: 0.25 0.060931\n0.50 0.185360\n0.75 0.793320\nName: 2284, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.630633988818239, std values: 4.96918613483472, min values: 3.2924e-06, max values: 39.816, median values: 0.26611, and quantile values: 0.25 0.074562\n0.50 0.266110\n0.75 1.053050\nName: 2285, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4231418507610065, std values: 4.937851396756789, min values: 3.3508e-06, max values: 39.722, median values: 0.22297, and quantile values: 0.25 0.062743\n0.50 0.222970\n0.75 0.759970\nName: 2286, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4204681637075474, std values: 4.874050322096353, min values: 1.5875e-06, max values: 39.361, median values: 0.20391, and quantile values: 0.25 0.063032\n0.50 0.203910\n0.75 0.841025\nName: 2287, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5102683183474843, std values: 4.837048416527843, min values: 3.6605e-07, max values: 38.686, median values: 0.23269, and quantile values: 0.25 0.065415\n0.50 0.232690\n0.75 0.976985\nName: 2288, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3055215303955976, std values: 4.8082939611563775, min values: 1.3924e-06, max values: 39.252, median values: 0.18848, and quantile values: 0.25 0.054527\n0.50 0.188480\n0.75 0.718790\nName: 2289, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6350337290320758, std values: 5.037568366161689, min values: 1.7996e-06, max values: 40.115, median values: 0.27089, and quantile values: 0.25 0.08959\n0.50 0.27089\n0.75 1.11515\nName: 2290, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3858386705721384, std values: 4.771573528898032, min values: 3.7517e-07, max values: 38.109, median values: 0.16871, and quantile values: 0.25 0.050738\n0.50 0.168710\n0.75 0.777300\nName: 2291, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4355687952742138, std values: 4.860459880985926, min values: 2.8445e-06, max values: 40.491, median values: 0.18489, and quantile values: 0.25 0.063278\n0.50 0.184890\n0.75 0.830275\nName: 2292, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4069558703496856, std values: 5.11750906861081, min values: 2.6444e-06, max values: 42.125, median values: 0.20232, and quantile values: 0.25 0.054423\n0.50 0.202320\n0.75 0.815680\nName: 2293, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7312425329968553, std values: 5.474981152524391, min values: 2.1374e-06, max values: 48.404, median values: 0.28665, and quantile values: 0.25 0.073002\n0.50 0.286650\n0.75 1.142900\nName: 2294, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.427010692689937, std values: 4.882117894670801, min values: 1.0561e-06, max values: 38.956, median values: 0.21545, and quantile values: 0.25 0.062576\n0.50 0.215450\n0.75 0.899130\nName: 2295, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6425957003496854, std values: 4.950909315026883, min values: 2.4134e-06, max values: 39.421, median values: 0.2675, and quantile values: 0.25 0.078476\n0.50 0.267500\n0.75 1.101450\nName: 2296, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2058126707275407, std values: 4.378838016775106, min values: 1.5551e-08, max values: 35.4, median values: 0.13765, and quantile values: 0.25 0.02671\n0.50 0.13765\n0.75 0.57982\nName: 2297, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4441508451887421, std values: 4.971739325049704, min values: 2.7251e-07, max values: 42.113, median values: 0.22459, and quantile values: 0.25 0.060861\n0.50 0.224590\n0.75 0.876720\nName: 2298, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.480230882701761, std values: 4.914928050028289, min values: 1.338e-07, max values: 41.042, median values: 0.21272, and quantile values: 0.25 0.051576\n0.50 0.212720\n0.75 0.870350\nName: 2299, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3861238680949686, std values: 4.660089398379695, min values: 2.0451e-06, max values: 38.772, median values: 0.21382, and quantile values: 0.25 0.061837\n0.50 0.213820\n0.75 0.835705\nName: 2300, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5227875811867924, std values: 5.102407405596791, min values: 4.5437e-06, max values: 41.35, median values: 0.24185, and quantile values: 0.25 0.062718\n0.50 0.241850\n0.75 0.891070\nName: 2301, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6374214934786164, std values: 4.8747122212159155, min values: 3.0691e-06, max values: 39.705, median values: 0.31282, and quantile values: 0.25 0.080302\n0.50 0.312820\n0.75 1.059850\nName: 2302, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2266824230498112, std values: 4.6321773457199065, min values: 1.3141e-07, max values: 37.562, median values: 0.13386, and quantile values: 0.25 0.036279\n0.50 0.133860\n0.75 0.615540\nName: 2303, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5989863116075471, std values: 4.8985490756929595, min values: 2.4543e-06, max values: 39.411, median values: 0.26775, and quantile values: 0.25 0.076171\n0.50 0.267750\n0.75 1.060165\nName: 2304, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.229467027474214, std values: 4.564450789249559, min values: 1.6348e-06, max values: 39.68, median values: 0.16222, and quantile values: 0.25 0.047130\n0.50 0.162220\n0.75 0.672945\nName: 2305, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.360676847063522, std values: 4.547578676396312, min values: 1.2411e-06, max values: 38.729, median values: 0.21318, and quantile values: 0.25 0.054530\n0.50 0.213180\n0.75 0.789035\nName: 2306, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3464533990854717, std values: 4.704277175836434, min values: 2.5198e-07, max values: 37.887, median values: 0.1847, and quantile values: 0.25 0.053515\n0.50 0.184700\n0.75 0.777775\nName: 2307, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3773187205441508, std values: 4.628442668683969, min values: 3.4322e-07, max values: 37.007, median values: 0.2019, and quantile values: 0.25 0.059045\n0.50 0.201900\n0.75 0.851340\nName: 2308, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.805551501083648, std values: 5.5248329559756595, min values: 3.0263e-06, max values: 47.516, median values: 0.33147, and quantile values: 0.25 0.083744\n0.50 0.331470\n0.75 1.234250\nName: 2309, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4059218077106919, std values: 4.911187023496965, min values: 1.3029e-06, max values: 39.912, median values: 0.20568, and quantile values: 0.25 0.060962\n0.50 0.205680\n0.75 0.824295\nName: 2310, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5828334378566038, std values: 4.799546975088086, min values: 3.4382e-06, max values: 39.905, median values: 0.31026, and quantile values: 0.25 0.076946\n0.50 0.310260\n0.75 1.013010\nName: 2311, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4392394068672953, std values: 4.9826160737457075, min values: 1.4842e-06, max values: 40.946, median values: 0.20197, and quantile values: 0.25 0.062044\n0.50 0.201970\n0.75 0.846580\nName: 2312, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6600694434828298, std values: 5.039540388273686, min values: 6.6017e-07, max values: 41.37, median values: 0.25595, and quantile values: 0.25 0.071893\n0.50 0.255950\n0.75 1.081950\nName: 2313, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5297278258383646, std values: 5.145991831077936, min values: 1.2369e-06, max values: 43.798, median values: 0.27548, and quantile values: 0.25 0.065987\n0.50 0.275480\n0.75 0.899125\nName: 2314, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3907326792634152, std values: 4.679854192203071, min values: 2.6763e-08, max values: 37.464, median values: 0.21254, and quantile values: 0.25 0.04589\n0.50 0.21254\n0.75 0.79456\nName: 2315, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.533957316031132, std values: 4.886971636219736, min values: 5.4855e-07, max values: 38.926, median values: 0.24609, and quantile values: 0.25 0.060746\n0.50 0.246090\n0.75 1.019650\nName: 2316, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.362340286513459, std values: 4.586457049801368, min values: 6.4914e-07, max values: 38.131, median values: 0.22496, and quantile values: 0.25 0.062452\n0.50 0.224960\n0.75 0.799755\nName: 2317, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.668698779844025, std values: 5.237438254654994, min values: 2.4432e-06, max values: 43.606, median values: 0.28322, and quantile values: 0.25 0.073986\n0.50 0.283220\n0.75 1.125850\nName: 2318, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7325837368295598, std values: 5.188259997602686, min values: 2.3863e-06, max values: 41.228, median values: 0.28573, and quantile values: 0.25 0.076056\n0.50 0.285730\n0.75 1.176100\nName: 2319, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3216684270144654, std values: 4.704815002773073, min values: 1.2718e-06, max values: 38.275, median values: 0.18233, and quantile values: 0.25 0.059552\n0.50 0.182330\n0.75 0.718630\nName: 2320, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5958526751761006, std values: 4.934383846491102, min values: 2.5018e-06, max values: 38.653, median values: 0.28407, and quantile values: 0.25 0.077722\n0.50 0.284070\n0.75 1.000015\nName: 2321, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.503758538192453, std values: 4.734946445627269, min values: 2.0596e-06, max values: 39.365, median values: 0.25834, and quantile values: 0.25 0.068493\n0.50 0.258340\n0.75 0.961465\nName: 2322, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.349536731865409, std values: 4.8871840022534245, min values: 2.8553e-06, max values: 40.136, median values: 0.18666, and quantile values: 0.25 0.053731\n0.50 0.186660\n0.75 0.719990\nName: 2323, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4128966689427673, std values: 5.079725644637721, min values: 1.3428e-06, max values: 43.028, median values: 0.19856, and quantile values: 0.25 0.05462\n0.50 0.19856\n0.75 0.86869\nName: 2324, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3901284222069183, std values: 4.87855373102107, min values: 3.292e-06, max values: 40.518, median values: 0.20237, and quantile values: 0.25 0.057294\n0.50 0.202370\n0.75 0.757795\nName: 2325, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4069535451328303, std values: 4.792614898573245, min values: 9.3742e-07, max values: 38.648, median values: 0.24396, and quantile values: 0.25 0.062524\n0.50 0.243960\n0.75 0.794630\nName: 2326, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4510215160867928, std values: 4.821213211255176, min values: 1.9073e-06, max values: 38.467, median values: 0.22095, and quantile values: 0.25 0.071172\n0.50 0.220950\n0.75 0.892275\nName: 2327, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6872638084383644, std values: 5.212692591637069, min values: 1.7873e-06, max values: 43.244, median values: 0.27343, and quantile values: 0.25 0.078352\n0.50 0.273430\n0.75 1.124450\nName: 2328, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5277675049972959, std values: 4.868982414700558, min values: 1.6894e-08, max values: 40.984, median values: 0.20124, and quantile values: 0.25 0.044229\n0.50 0.201240\n0.75 0.902590\nName: 2329, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4030479937337987, std values: 4.911121647638108, min values: 2.4224e-08, max values: 41.339, median values: 0.19066, and quantile values: 0.25 0.046507\n0.50 0.190660\n0.75 0.869390\nName: 2330, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3653378471911823, std values: 4.649890987878347, min values: 1.8598e-08, max values: 37.291, median values: 0.16919, and quantile values: 0.25 0.052234\n0.50 0.169190\n0.75 0.782570\nName: 2331, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3844360449332707, std values: 4.7766995644878065, min values: 7.6789e-07, max values: 38.315, median values: 0.22904, and quantile values: 0.25 0.05414\n0.50 0.22904\n0.75 0.83536\nName: 2332, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.476535746045283, std values: 4.892563174564019, min values: 1.7107e-06, max values: 39.231, median values: 0.20158, and quantile values: 0.25 0.062943\n0.50 0.201580\n0.75 0.893180\nName: 2333, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2403724180496227, std values: 4.780867801290733, min values: 3.2299e-07, max values: 39.259, median values: 0.16338, and quantile values: 0.25 0.041898\n0.50 0.163380\n0.75 0.632570\nName: 2334, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6706502146666664, std values: 5.02552668886053, min values: 2.0847e-06, max values: 39.57, median values: 0.29203, and quantile values: 0.25 0.080702\n0.50 0.292030\n0.75 1.134050\nName: 2335, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4092070139251573, std values: 4.9292134630139595, min values: 1.1784e-06, max values: 39.964, median values: 0.20625, and quantile values: 0.25 0.059309\n0.50 0.206250\n0.75 0.827365\nName: 2336, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.409889599773585, std values: 4.988925157714456, min values: 2.6267e-06, max values: 40.571, median values: 0.19405, and quantile values: 0.25 0.063656\n0.50 0.194050\n0.75 0.759025\nName: 2337, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2896232747281133, std values: 4.980606057750366, min values: 1.8717e-07, max values: 42.97, median values: 0.14211, and quantile values: 0.25 0.039995\n0.50 0.142110\n0.75 0.692980\nName: 2338, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5607606929691196, std values: 4.921948369413985, min values: 2.8729e-07, max values: 39.992, median values: 0.22285, and quantile values: 0.25 0.064472\n0.50 0.222850\n0.75 0.922370\nName: 2339, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5470537163566038, std values: 5.078559021162493, min values: 3.5779e-06, max values: 40.237, median values: 0.23945, and quantile values: 0.25 0.065569\n0.50 0.239450\n0.75 0.903845\nName: 2340, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.582494623699371, std values: 5.0035905049976535, min values: 2.5038e-06, max values: 39.463, median values: 0.27074, and quantile values: 0.25 0.074251\n0.50 0.270740\n0.75 1.014150\nName: 2341, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.668764169900629, std values: 5.228788817863562, min values: 5.5036e-06, max values: 41.07, median values: 0.25779, and quantile values: 0.25 0.075998\n0.50 0.257790\n0.75 0.983465\nName: 2342, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1742758764028933, std values: 4.727502587843019, min values: 4.3106e-07, max values: 39.146, median values: 0.12425, and quantile values: 0.25 0.042462\n0.50 0.124250\n0.75 0.622240\nName: 2343, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.666099042108176, std values: 5.5041766721137, min values: 6.9072e-06, max values: 45.098, median values: 0.22258, and quantile values: 0.25 0.064886\n0.50 0.222580\n0.75 0.913105\nName: 2344, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.385633755918868, std values: 5.274177731113811, min values: 2.996e-06, max values: 45.724, median values: 0.18671, and quantile values: 0.25 0.051007\n0.50 0.186710\n0.75 0.694800\nName: 2345, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4686357629849118, std values: 4.830853525549595, min values: 2.4181e-08, max values: 39.363, median values: 0.18966, and quantile values: 0.25 0.052076\n0.50 0.189660\n0.75 0.840720\nName: 2346, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.193549630883019, std values: 4.645015744927548, min values: 1.6148e-06, max values: 39.708, median values: 0.13488, and quantile values: 0.25 0.042732\n0.50 0.134880\n0.75 0.514085\nName: 2347, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5606122899349624, std values: 4.923200262017705, min values: 8.4559e-08, max values: 40.427, median values: 0.21615, and quantile values: 0.25 0.053057\n0.50 0.216150\n0.75 0.976595\nName: 2348, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6660736285320754, std values: 5.0693394304408725, min values: 2.6031e-06, max values: 40.052, median values: 0.27744, and quantile values: 0.25 0.081189\n0.50 0.277440\n0.75 1.123800\nName: 2349, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.552690368499371, std values: 4.883992195332371, min values: 3.0028e-06, max values: 40.128, median values: 0.25129, and quantile values: 0.25 0.067649\n0.50 0.251290\n0.75 0.937130\nName: 2350, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.487495995977503, std values: 4.852692941041779, min values: 3.6183e-08, max values: 39.725, median values: 0.20241, and quantile values: 0.25 0.045745\n0.50 0.202410\n0.75 0.924900\nName: 2351, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5258751482075472, std values: 5.075538933017816, min values: 1.8241e-06, max values: 42.044, median values: 0.25048, and quantile values: 0.25 0.069258\n0.50 0.250480\n0.75 0.936475\nName: 2352, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3660725172286161, std values: 4.97257595661385, min values: 2.4335e-07, max values: 42.941, median values: 0.17885, and quantile values: 0.25 0.043605\n0.50 0.178850\n0.75 0.737615\nName: 2353, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.657359173890566, std values: 5.108882769171102, min values: 3.3654e-06, max values: 40.186, median values: 0.27549, and quantile values: 0.25 0.071112\n0.50 0.275490\n0.75 1.163950\nName: 2354, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6349092967062893, std values: 5.1700741858428785, min values: 7.5763e-06, max values: 41.618, median values: 0.26001, and quantile values: 0.25 0.079253\n0.50 0.260010\n0.75 1.012850\nName: 2355, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4228602813215723, std values: 4.883266736003204, min values: 5.1051e-07, max values: 40.47, median values: 0.17468, and quantile values: 0.25 0.041834\n0.50 0.174680\n0.75 0.763785\nName: 2356, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4870747550352201, std values: 5.01032382033814, min values: 1.1299e-06, max values: 41.947, median values: 0.21797, and quantile values: 0.25 0.063252\n0.50 0.217970\n0.75 0.872725\nName: 2357, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5283745347654085, std values: 4.910787039571832, min values: 1.6697e-06, max values: 38.622, median values: 0.25577, and quantile values: 0.25 0.077988\n0.50 0.255770\n0.75 0.897180\nName: 2358, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7308741309358493, std values: 5.130955387172082, min values: 2.3894e-06, max values: 39.954, median values: 0.28425, and quantile values: 0.25 0.080933\n0.50 0.284250\n0.75 1.188800\nName: 2359, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3110856830410693, std values: 4.764796344917574, min values: 2.9753e-07, max values: 38.45, median values: 0.1747, and quantile values: 0.25 0.047910\n0.50 0.174700\n0.75 0.771225\nName: 2360, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3928116760899434, std values: 4.8506562773267, min values: 3.0801e-08, max values: 40.547, median values: 0.19616, and quantile values: 0.25 0.04400\n0.50 0.19616\n0.75 0.78269\nName: 2361, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4899402115408804, std values: 5.058855266829158, min values: 3.122e-06, max values: 41.86, median values: 0.21753, and quantile values: 0.25 0.066478\n0.50 0.217530\n0.75 0.869890\nName: 2362, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2168543269440253, std values: 4.941624701691455, min values: 1.1679e-06, max values: 41.804, median values: 0.15049, and quantile values: 0.25 0.044147\n0.50 0.150490\n0.75 0.618700\nName: 2363, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4752748863564151, std values: 4.741222343084261, min values: 2.7547e-07, max values: 38.738, median values: 0.20117, and quantile values: 0.25 0.058199\n0.50 0.201170\n0.75 0.998795\nName: 2364, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5470264756968553, std values: 4.956711453970713, min values: 2.3763e-06, max values: 39.13, median values: 0.25445, and quantile values: 0.25 0.070584\n0.50 0.254450\n0.75 1.028150\nName: 2365, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5463586772012643, std values: 4.930032956467377, min values: 2.1701e-08, max values: 40.448, median values: 0.23119, and quantile values: 0.25 0.059906\n0.50 0.231190\n0.75 0.988680\nName: 2366, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.294701995727044, std values: 4.574617898528797, min values: 1.5196e-06, max values: 39.024, median values: 0.19327, and quantile values: 0.25 0.056733\n0.50 0.193270\n0.75 0.703140\nName: 2367, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4089244163672958, std values: 5.006881024375095, min values: 2.1246e-06, max values: 40.847, median values: 0.20874, and quantile values: 0.25 0.063558\n0.50 0.208740\n0.75 0.818630\nName: 2368, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6551362318534588, std values: 5.145908784176074, min values: 1.9307e-06, max values: 41.781, median values: 0.26159, and quantile values: 0.25 0.069948\n0.50 0.261590\n0.75 1.097450\nName: 2369, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2732648821121384, std values: 4.832366148012221, min values: 3.6899e-07, max values: 41.57, median values: 0.15859, and quantile values: 0.25 0.047787\n0.50 0.158590\n0.75 0.646215\nName: 2370, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.472717336718868, std values: 4.763187891825524, min values: 1.1907e-06, max values: 37.853, median values: 0.2583, and quantile values: 0.25 0.069395\n0.50 0.258300\n0.75 0.887195\nName: 2371, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3558333430981133, std values: 4.773850861378014, min values: 1.4642e-06, max values: 38.691, median values: 0.18886, and quantile values: 0.25 0.056723\n0.50 0.188860\n0.75 0.784740\nName: 2372, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4568055822754715, std values: 4.86148203121157, min values: 9.849e-07, max values: 39.068, median values: 0.21774, and quantile values: 0.25 0.056781\n0.50 0.217740\n0.75 0.882865\nName: 2373, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.541513633898742, std values: 5.227161944440877, min values: 1.8375e-06, max values: 44.781, median values: 0.24156, and quantile values: 0.25 0.063928\n0.50 0.241560\n0.75 0.896075\nName: 2374, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4760125063861638, std values: 5.008504268863813, min values: 1.4264e-06, max values: 41.555, median values: 0.21552, and quantile values: 0.25 0.069953\n0.50 0.215520\n0.75 0.885400\nName: 2375, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5542852409515724, std values: 5.183998307885743, min values: 5.1362e-06, max values: 41.01, median values: 0.24687, and quantile values: 0.25 0.062497\n0.50 0.246870\n0.75 0.890210\nName: 2376, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7393935051144653, std values: 5.08447020759163, min values: 3.5232e-06, max values: 39.285, median values: 0.3116, and quantile values: 0.25 0.082609\n0.50 0.311600\n0.75 1.192350\nName: 2377, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.453315906841698, std values: 4.946737446185484, min values: 1.3933e-07, max values: 41.026, median values: 0.22078, and quantile values: 0.25 0.058621\n0.50 0.220780\n0.75 0.885275\nName: 2378, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3822185840930816, std values: 4.838210715702593, min values: 1.8107e-06, max values: 38.547, median values: 0.19767, and quantile values: 0.25 0.064149\n0.50 0.197670\n0.75 0.823160\nName: 2379, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5943609198738993, std values: 5.052431478810963, min values: 7.5225e-07, max values: 41.437, median values: 0.22947, and quantile values: 0.25 0.065454\n0.50 0.229470\n0.75 1.040250\nName: 2380, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5865951121105724, std values: 5.0175551065997235, min values: 1.4881e-08, max values: 41.569, median values: 0.21289, and quantile values: 0.25 0.049446\n0.50 0.212890\n0.75 0.990840\nName: 2381, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.283944996757673, std values: 4.537977154951929, min values: 1.419e-08, max values: 35.831, median values: 0.1616, and quantile values: 0.25 0.037989\n0.50 0.161600\n0.75 0.674040\nName: 2382, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4139284281132074, std values: 5.069522817652955, min values: 3.924e-07, max values: 44.179, median values: 0.16962, and quantile values: 0.25 0.051171\n0.50 0.169620\n0.75 0.799875\nName: 2383, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3132765345053459, std values: 4.725599526436439, min values: 5.7945e-07, max values: 38.0, median values: 0.1844, and quantile values: 0.25 0.052253\n0.50 0.184400\n0.75 0.694790\nName: 2384, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6205026840633336, std values: 5.145570672766468, min values: 7.5487e-07, max values: 42.35, median values: 0.22416, and quantile values: 0.25 0.066919\n0.50 0.224160\n0.75 1.089600\nName: 2385, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5844650604352202, std values: 5.303872292573627, min values: 3.4582e-06, max values: 44.557, median values: 0.25288, and quantile values: 0.25 0.069756\n0.50 0.252880\n0.75 0.842190\nName: 2386, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3835733263955974, std values: 4.913168313776137, min values: 1.8621e-06, max values: 39.681, median values: 0.1838, and quantile values: 0.25 0.059473\n0.50 0.183800\n0.75 0.756340\nName: 2387, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7624856901943395, std values: 5.170726854305839, min values: 2.7462e-06, max values: 40.591, median values: 0.30177, and quantile values: 0.25 0.09306\n0.50 0.30177\n0.75 1.18650\nName: 2388, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3449571580798114, std values: 4.735986622563, min values: 5.0739e-07, max values: 37.598, median values: 0.18854, and quantile values: 0.25 0.054672\n0.50 0.188540\n0.75 0.721955\nName: 2389, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4082413304751573, std values: 4.8306878574942225, min values: 9.4045e-07, max values: 38.648, median values: 0.19424, and quantile values: 0.25 0.062767\n0.50 0.194240\n0.75 0.827625\nName: 2390, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.269751381437044, std values: 4.940843374164404, min values: 5.4529e-07, max values: 42.963, median values: 0.1525, and quantile values: 0.25 0.043591\n0.50 0.152500\n0.75 0.641405\nName: 2391, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3649239592415097, std values: 4.846288259389864, min values: 1.4243e-06, max values: 39.207, median values: 0.17947, and quantile values: 0.25 0.050272\n0.50 0.179470\n0.75 0.708965\nName: 2392, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3852360992163522, std values: 4.924274540326377, min values: 1.6168e-06, max values: 39.546, median values: 0.18319, and quantile values: 0.25 0.059596\n0.50 0.183190\n0.75 0.757835\nName: 2393, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4418585507213837, std values: 5.01636259443742, min values: 2.0394e-06, max values: 40.351, median values: 0.20351, and quantile values: 0.25 0.063905\n0.50 0.203510\n0.75 0.807395\nName: 2394, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2077480515926415, std values: 4.510317541729054, min values: 1.9448e-07, max values: 35.919, median values: 0.15483, and quantile values: 0.25 0.034787\n0.50 0.154830\n0.75 0.641850\nName: 2395, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4237751152127045, std values: 5.002630770574353, min values: 4.6024e-07, max values: 42.966, median values: 0.18203, and quantile values: 0.25 0.053418\n0.50 0.182030\n0.75 0.729830\nName: 2396, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5402964208610064, std values: 5.066769754004931, min values: 4.0793e-06, max values: 40.789, median values: 0.24777, and quantile values: 0.25 0.072736\n0.50 0.247770\n0.75 0.870965\nName: 2397, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5752459599509434, std values: 5.189667785162376, min values: 2.3159e-06, max values: 43.151, median values: 0.26178, and quantile values: 0.25 0.072992\n0.50 0.261780\n0.75 0.982240\nName: 2398, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3105795899780501, std values: 4.827256714253811, min values: 3.0201e-07, max values: 39.15, median values: 0.16454, and quantile values: 0.25 0.045105\n0.50 0.164540\n0.75 0.662235\nName: 2399, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5123804519176098, std values: 5.1301515299995835, min values: 2.2077e-06, max values: 42.201, median values: 0.21587, and quantile values: 0.25 0.061102\n0.50 0.215870\n0.75 0.888360\nName: 2400, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5412952688201258, std values: 4.714148095591956, min values: 2.0616e-06, max values: 38.387, median values: 0.26193, and quantile values: 0.25 0.078245\n0.50 0.261930\n0.75 1.028700\nName: 2401, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.470077674488679, std values: 4.80121698522533, min values: 1.2201e-06, max values: 38.0, median values: 0.22681, and quantile values: 0.25 0.062276\n0.50 0.226810\n0.75 0.922550\nName: 2402, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.403785280998868, std values: 4.723487770357684, min values: 5.7712e-07, max values: 37.784, median values: 0.23922, and quantile values: 0.25 0.071906\n0.50 0.239220\n0.75 0.833880\nName: 2403, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4409270405044026, std values: 4.965550263108162, min values: 1.2447e-06, max values: 40.541, median values: 0.22163, and quantile values: 0.25 0.064311\n0.50 0.221630\n0.75 0.809205\nName: 2404, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6088071117811322, std values: 5.0789540480045146, min values: 2.2873e-06, max values: 40.896, median values: 0.29238, and quantile values: 0.25 0.075696\n0.50 0.292380\n0.75 1.000090\nName: 2405, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3934465696837233, std values: 4.884138637251199, min values: 2.1882e-08, max values: 41.311, median values: 0.18466, and quantile values: 0.25 0.043522\n0.50 0.184660\n0.75 0.684275\nName: 2406, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4616263422727043, std values: 5.012341795980287, min values: 4.8136e-07, max values: 41.881, median values: 0.21369, and quantile values: 0.25 0.05240\n0.50 0.21369\n0.75 0.91378\nName: 2407, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3404558252138365, std values: 4.772157215616763, min values: 3.8555e-06, max values: 41.034, median values: 0.18799, and quantile values: 0.25 0.050975\n0.50 0.187990\n0.75 0.693380\nName: 2408, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6108054470515722, std values: 5.0146850199384385, min values: 2.5842e-06, max values: 39.48, median values: 0.2533, and quantile values: 0.25 0.073502\n0.50 0.253300\n0.75 1.066950\nName: 2409, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5136175139255974, std values: 4.892871530132066, min values: 5.2027e-07, max values: 39.329, median values: 0.22202, and quantile values: 0.25 0.06394\n0.50 0.22202\n0.75 0.96547\nName: 2410, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5094355554986791, std values: 4.7255922683238225, min values: 5.8329e-07, max values: 37.865, median values: 0.2737, and quantile values: 0.25 0.065373\n0.50 0.273700\n0.75 0.956600\nName: 2411, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.550436623089308, std values: 4.956272664631645, min values: 2.0082e-06, max values: 39.233, median values: 0.22833, and quantile values: 0.25 0.075598\n0.50 0.228330\n0.75 0.967705\nName: 2412, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4608422906138365, std values: 4.983498416648484, min values: 1.9462e-06, max values: 40.412, median values: 0.21979, and quantile values: 0.25 0.05729\n0.50 0.21979\n0.75 0.87965\nName: 2413, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.386549983843239, std values: 4.8859730195329325, min values: 5.3695e-08, max values: 41.466, median values: 0.18038, and quantile values: 0.25 0.05026\n0.50 0.18038\n0.75 0.77811\nName: 2414, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.892761190242138, std values: 5.039738948801061, min values: 3.4638e-06, max values: 38.806, median values: 0.37203, and quantile values: 0.25 0.110485\n0.50 0.372030\n0.75 1.398100\nName: 2415, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4441632628660377, std values: 4.749646422155587, min values: 2.5422e-06, max values: 39.952, median values: 0.2169, and quantile values: 0.25 0.068772\n0.50 0.216900\n0.75 0.867065\nName: 2416, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5872467513509434, std values: 4.922501061456686, min values: 1.8346e-06, max values: 39.011, median values: 0.24549, and quantile values: 0.25 0.075919\n0.50 0.245490\n0.75 1.054250\nName: 2417, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5150678725779874, std values: 4.944812781707343, min values: 3.7389e-06, max values: 39.892, median values: 0.23635, and quantile values: 0.25 0.065411\n0.50 0.236350\n0.75 0.924910\nName: 2418, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6780296863463522, std values: 5.038767943579616, min values: 3.7967e-07, max values: 40.648, median values: 0.24583, and quantile values: 0.25 0.059136\n0.50 0.245830\n0.75 1.107650\nName: 2419, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5342301608735849, std values: 5.001063943758173, min values: 3.065e-08, max values: 42.745, median values: 0.25357, and quantile values: 0.25 0.047560\n0.50 0.253570\n0.75 0.988185\nName: 2420, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5070815833691826, std values: 4.90059377764636, min values: 1.8215e-06, max values: 38.867, median values: 0.22932, and quantile values: 0.25 0.067084\n0.50 0.229320\n0.75 0.989190\nName: 2421, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6054367137855348, std values: 4.805764372597617, min values: 3.1953e-06, max values: 39.896, median values: 0.25586, and quantile values: 0.25 0.078245\n0.50 0.255860\n0.75 1.135600\nName: 2422, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4384479149157863, std values: 4.681444320539285, min values: 4.3711e-07, max values: 37.533, median values: 0.23441, and quantile values: 0.25 0.065860\n0.50 0.234410\n0.75 0.917365\nName: 2423, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3133629617287423, std values: 4.776820517490572, min values: 1.8318e-07, max values: 39.384, median values: 0.16964, and quantile values: 0.25 0.045232\n0.50 0.169640\n0.75 0.671565\nName: 2424, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2321883689296853, std values: 4.691441643356888, min values: 8.2032e-07, max values: 38.064, median values: 0.15892, and quantile values: 0.25 0.048935\n0.50 0.158920\n0.75 0.641305\nName: 2425, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4732481879955976, std values: 4.719686887005793, min values: 1.5785e-06, max values: 38.927, median values: 0.22643, and quantile values: 0.25 0.069233\n0.50 0.226430\n0.75 0.906735\nName: 2426, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.43375148461, std values: 5.033250080394594, min values: 9.6219e-07, max values: 42.459, median values: 0.20501, and quantile values: 0.25 0.062393\n0.50 0.205010\n0.75 0.705855\nName: 2427, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2962976831773587, std values: 4.785183001596747, min values: 6.684e-07, max values: 39.277, median values: 0.14355, and quantile values: 0.25 0.037338\n0.50 0.143550\n0.75 0.677115\nName: 2428, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7737499729427673, std values: 5.215834361591002, min values: 5.1579e-06, max values: 40.765, median values: 0.27398, and quantile values: 0.25 0.083155\n0.50 0.273980\n0.75 1.150350\nName: 2429, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.643657670224528, std values: 4.867060311627903, min values: 1.7521e-06, max values: 38.859, median values: 0.26317, and quantile values: 0.25 0.074535\n0.50 0.263170\n0.75 1.164550\nName: 2430, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5539741729504402, std values: 4.758609612353911, min values: 7.2142e-07, max values: 37.267, median values: 0.24339, and quantile values: 0.25 0.054823\n0.50 0.243390\n0.75 1.037110\nName: 2431, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5105718629578615, std values: 4.961381576205148, min values: 2.3224e-06, max values: 39.775, median values: 0.24598, and quantile values: 0.25 0.066631\n0.50 0.245980\n0.75 0.988670\nName: 2432, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.449712579318365, std values: 4.9896801748232145, min values: 2.3772e-07, max values: 42.507, median values: 0.19669, and quantile values: 0.25 0.051477\n0.50 0.196690\n0.75 0.795090\nName: 2433, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3691995547008806, std values: 4.877090744657117, min values: 4.6464e-07, max values: 39.426, median values: 0.17788, and quantile values: 0.25 0.051199\n0.50 0.177880\n0.75 0.802430\nName: 2434, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.516720006010063, std values: 5.0671143971089405, min values: 2.6068e-06, max values: 41.205, median values: 0.21584, and quantile values: 0.25 0.062535\n0.50 0.215840\n0.75 0.900160\nName: 2435, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5840599720516981, std values: 4.9306202721349495, min values: 8.5612e-07, max values: 39.624, median values: 0.21363, and quantile values: 0.25 0.071994\n0.50 0.213630\n0.75 0.999455\nName: 2436, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6021070102062893, std values: 5.150077174801371, min values: 3.8691e-06, max values: 40.857, median values: 0.2648, and quantile values: 0.25 0.077400\n0.50 0.264800\n0.75 0.933355\nName: 2437, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7745576800855347, std values: 5.065648779963836, min values: 2.933e-06, max values: 38.963, median values: 0.34493, and quantile values: 0.25 0.09495\n0.50 0.34493\n0.75 1.23950\nName: 2438, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.594781806309434, std values: 4.922752813558594, min values: 1.6089e-06, max values: 38.741, median values: 0.28028, and quantile values: 0.25 0.069303\n0.50 0.280280\n0.75 0.995110\nName: 2439, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3419149374781763, std values: 4.4935197604475325, min values: 4.1033e-07, max values: 37.52, median values: 0.19551, and quantile values: 0.25 0.053691\n0.50 0.195510\n0.75 0.790410\nName: 2440, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2770934864691195, std values: 4.738011640687361, min values: 5.6919e-07, max values: 38.308, median values: 0.16244, and quantile values: 0.25 0.051827\n0.50 0.162440\n0.75 0.704555\nName: 2441, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3623522612701762, std values: 4.755188366636848, min values: 1.5748e-08, max values: 39.56, median values: 0.19217, and quantile values: 0.25 0.041522\n0.50 0.192170\n0.75 0.722605\nName: 2442, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.261359843874761, std values: 4.750341709611237, min values: 2.2657e-08, max values: 38.7, median values: 0.15876, and quantile values: 0.25 0.042034\n0.50 0.158760\n0.75 0.659775\nName: 2443, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6179699047295597, std values: 5.188342478978985, min values: 2.0704e-06, max values: 43.657, median values: 0.2599, and quantile values: 0.25 0.079653\n0.50 0.259900\n0.75 1.026890\nName: 2444, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4732689302280504, std values: 4.929723714018635, min values: 3.3366e-07, max values: 40.603, median values: 0.19499, and quantile values: 0.25 0.049533\n0.50 0.194990\n0.75 0.827740\nName: 2445, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4159573286232707, std values: 4.739947794774599, min values: 3.371e-07, max values: 37.415, median values: 0.16533, and quantile values: 0.25 0.048033\n0.50 0.165330\n0.75 0.825535\nName: 2446, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.440027404351893, std values: 4.820510617162871, min values: 2.7531e-08, max values: 39.839, median values: 0.17177, and quantile values: 0.25 0.043069\n0.50 0.171770\n0.75 0.819765\nName: 2447, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.54531720882956, std values: 5.0183268171313795, min values: 1.0607e-06, max values: 41.498, median values: 0.26192, and quantile values: 0.25 0.066217\n0.50 0.261920\n0.75 0.902060\nName: 2448, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4245703068304405, std values: 4.8605779906142885, min values: 4.8884e-07, max values: 39.33, median values: 0.20347, and quantile values: 0.25 0.058146\n0.50 0.203470\n0.75 0.815300\nName: 2449, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4568077134672959, std values: 4.972161639983961, min values: 3.5025e-06, max values: 40.188, median values: 0.20942, and quantile values: 0.25 0.069839\n0.50 0.209420\n0.75 0.804005\nName: 2450, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8442992036773582, std values: 5.581712992235431, min values: 2.6121e-06, max values: 48.267, median values: 0.29864, and quantile values: 0.25 0.080826\n0.50 0.298640\n0.75 1.256550\nName: 2451, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.432050870859384, std values: 4.789854892811136, min values: 2.1562e-08, max values: 39.223, median values: 0.20334, and quantile values: 0.25 0.047053\n0.50 0.203340\n0.75 0.784420\nName: 2452, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.558835624889566, std values: 4.997833166569362, min values: 2.5541e-08, max values: 42.269, median values: 0.2151, and quantile values: 0.25 0.057489\n0.50 0.215100\n0.75 1.068650\nName: 2453, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4872638171289307, std values: 4.840689717578372, min values: 4.011e-06, max values: 39.862, median values: 0.24864, and quantile values: 0.25 0.072916\n0.50 0.248640\n0.75 0.891295\nName: 2454, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.412471557567547, std values: 4.689574413604318, min values: 5.4818e-07, max values: 37.035, median values: 0.18262, and quantile values: 0.25 0.054621\n0.50 0.182620\n0.75 0.814660\nName: 2455, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.520688934931761, std values: 5.018823065562483, min values: 4.8105e-07, max values: 41.797, median values: 0.22162, and quantile values: 0.25 0.061117\n0.50 0.221620\n0.75 0.900895\nName: 2456, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4268445360987423, std values: 4.748028482226807, min values: 1.8609e-06, max values: 38.466, median values: 0.21446, and quantile values: 0.25 0.063393\n0.50 0.214460\n0.75 0.892540\nName: 2457, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4260122482730817, std values: 4.701434000720846, min values: 4.8592e-07, max values: 37.17, median values: 0.21312, and quantile values: 0.25 0.057538\n0.50 0.213120\n0.75 0.853190\nName: 2458, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5410151578930817, std values: 5.038137173126358, min values: 2.7832e-06, max values: 39.997, median values: 0.22734, and quantile values: 0.25 0.068417\n0.50 0.227340\n0.75 0.944175\nName: 2459, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3056717130321194, std values: 4.497419751205215, min values: 2.9227e-08, max values: 35.665, median values: 0.16101, and quantile values: 0.25 0.040170\n0.50 0.161010\n0.75 0.685085\nName: 2460, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3943622913245282, std values: 4.734269463001485, min values: 1.8146e-06, max values: 38.789, median values: 0.2032, and quantile values: 0.25 0.055599\n0.50 0.203200\n0.75 0.801035\nName: 2461, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.500028945297547, std values: 4.780974558215333, min values: 4.5291e-07, max values: 38.256, median values: 0.22507, and quantile values: 0.25 0.065390\n0.50 0.225070\n0.75 0.959755\nName: 2462, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4367725442001258, std values: 4.869512252752731, min values: 9.6452e-07, max values: 39.589, median values: 0.23648, and quantile values: 0.25 0.071235\n0.50 0.236480\n0.75 0.798595\nName: 2463, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5185028010742136, std values: 5.147120409891449, min values: 1.317e-06, max values: 41.996, median values: 0.2045, and quantile values: 0.25 0.064532\n0.50 0.204500\n0.75 0.816240\nName: 2464, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.735516224664151, std values: 5.329618765578458, min values: 5.1538e-06, max values: 42.982, median values: 0.28563, and quantile values: 0.25 0.08928\n0.50 0.28563\n0.75 1.06680\nName: 2465, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2675876767921384, std values: 4.729854702998633, min values: 2.1735e-07, max values: 38.701, median values: 0.16094, and quantile values: 0.25 0.047004\n0.50 0.160940\n0.75 0.726550\nName: 2466, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.526762044406918, std values: 5.117000248035537, min values: 2.5116e-06, max values: 42.053, median values: 0.22438, and quantile values: 0.25 0.060247\n0.50 0.224380\n0.75 0.892765\nName: 2467, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.287927841331761, std values: 4.678967312829625, min values: 5.7675e-07, max values: 38.517, median values: 0.16848, and quantile values: 0.25 0.050959\n0.50 0.168480\n0.75 0.717065\nName: 2468, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5676983507178806, std values: 5.061399674172624, min values: 3.0343e-08, max values: 43.271, median values: 0.22497, and quantile values: 0.25 0.054255\n0.50 0.224970\n0.75 1.000910\nName: 2469, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4740884185222014, std values: 4.71616826495677, min values: 2.8213e-07, max values: 37.656, median values: 0.2187, and quantile values: 0.25 0.060993\n0.50 0.218700\n0.75 0.962110\nName: 2470, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3752588264452832, std values: 4.761683379091645, min values: 2.1788e-06, max values: 39.505, median values: 0.20333, and quantile values: 0.25 0.054156\n0.50 0.203330\n0.75 0.846745\nName: 2471, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.545631762881761, std values: 4.978059209812746, min values: 4.0106e-06, max values: 40.054, median values: 0.23443, and quantile values: 0.25 0.061482\n0.50 0.234430\n0.75 0.942450\nName: 2472, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5176056984100628, std values: 4.773430524953638, min values: 1.5259e-06, max values: 38.812, median values: 0.22714, and quantile values: 0.25 0.066042\n0.50 0.227140\n0.75 0.963615\nName: 2473, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5862504905836479, std values: 5.084928753358798, min values: 2.4667e-06, max values: 41.582, median values: 0.25561, and quantile values: 0.25 0.077788\n0.50 0.255610\n0.75 1.041500\nName: 2474, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4325538492226415, std values: 4.951534260017611, min values: 1.9893e-06, max values: 40.527, median values: 0.22292, and quantile values: 0.25 0.065570\n0.50 0.222920\n0.75 0.855225\nName: 2475, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6391228353880505, std values: 5.094885350012046, min values: 3.3579e-06, max values: 40.8, median values: 0.28353, and quantile values: 0.25 0.075256\n0.50 0.283530\n0.75 1.000055\nName: 2476, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3066406396232706, std values: 4.7729002183071305, min values: 3.9653e-06, max values: 41.02, median values: 0.16592, and quantile values: 0.25 0.055189\n0.50 0.165920\n0.75 0.613195\nName: 2477, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.503347050535849, std values: 4.890206975495711, min values: 2.863e-06, max values: 40.667, median values: 0.22292, and quantile values: 0.25 0.068630\n0.50 0.222920\n0.75 0.962295\nName: 2478, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.538843609855346, std values: 4.963468043681147, min values: 3.421e-07, max values: 41.016, median values: 0.23761, and quantile values: 0.25 0.056803\n0.50 0.237610\n0.75 1.004850\nName: 2479, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3639814176486162, std values: 4.836907558744811, min values: 4.2893e-07, max values: 39.791, median values: 0.1749, and quantile values: 0.25 0.050766\n0.50 0.174900\n0.75 0.751070\nName: 2480, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5939734521056605, std values: 5.113845468940486, min values: 3.4295e-06, max values: 40.858, median values: 0.27547, and quantile values: 0.25 0.075531\n0.50 0.275470\n0.75 0.959375\nName: 2481, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4464484684098113, std values: 5.0214104655882945, min values: 4.9336e-07, max values: 42.867, median values: 0.19125, and quantile values: 0.25 0.054575\n0.50 0.191250\n0.75 0.802070\nName: 2482, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6612423460722014, std values: 5.144842032124167, min values: 1.2808e-07, max values: 43.076, median values: 0.21856, and quantile values: 0.25 0.059606\n0.50 0.218560\n0.75 1.044100\nName: 2483, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6361389185528303, std values: 5.428157565542291, min values: 1.994e-06, max values: 48.038, median values: 0.25151, and quantile values: 0.25 0.067845\n0.50 0.251510\n0.75 1.042350\nName: 2484, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.627016034463522, std values: 4.955785758766513, min values: 1.1631e-06, max values: 39.313, median values: 0.28932, and quantile values: 0.25 0.076999\n0.50 0.289320\n0.75 1.152500\nName: 2485, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.485675084790566, std values: 5.11155318831865, min values: 3.7586e-06, max values: 41.506, median values: 0.22395, and quantile values: 0.25 0.069678\n0.50 0.223950\n0.75 0.854630\nName: 2486, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5336690313295598, std values: 5.072610459641162, min values: 2.1968e-06, max values: 41.154, median values: 0.23638, and quantile values: 0.25 0.063199\n0.50 0.236380\n0.75 0.947245\nName: 2487, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5600942805408804, std values: 5.057252723595613, min values: 3.6445e-06, max values: 40.312, median values: 0.24697, and quantile values: 0.25 0.073618\n0.50 0.246970\n0.75 0.947890\nName: 2488, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.461961998561698, std values: 4.878957617390538, min values: 4.7321e-07, max values: 39.674, median values: 0.22055, and quantile values: 0.25 0.061242\n0.50 0.220550\n0.75 0.882710\nName: 2489, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7052441539577985, std values: 5.158874434297613, min values: 9.0809e-07, max values: 42.205, median values: 0.26893, and quantile values: 0.25 0.080588\n0.50 0.268930\n0.75 1.127800\nName: 2490, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5187842626345913, std values: 4.944526169724177, min values: 1.4878e-06, max values: 39.271, median values: 0.22731, and quantile values: 0.25 0.055543\n0.50 0.227310\n0.75 0.973370\nName: 2491, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2399118792746162, std values: 4.693664244231912, min values: 1.5664e-08, max values: 37.791, median values: 0.13795, and quantile values: 0.25 0.044099\n0.50 0.137950\n0.75 0.656060\nName: 2492, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4669127499640882, std values: 5.248964921588475, min values: 4.5119e-07, max values: 46.977, median values: 0.19031, and quantile values: 0.25 0.053974\n0.50 0.190310\n0.75 0.846210\nName: 2493, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4370764481698113, std values: 4.992096689316008, min values: 1.0432e-06, max values: 40.769, median values: 0.21316, and quantile values: 0.25 0.061870\n0.50 0.213160\n0.75 0.950545\nName: 2494, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4628056427125786, std values: 4.858226652654094, min values: 2.9621e-06, max values: 39.84, median values: 0.22282, and quantile values: 0.25 0.065605\n0.50 0.222820\n0.75 0.860980\nName: 2495, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3785144028930187, std values: 4.870341418804118, min values: 7.7729e-07, max values: 39.437, median values: 0.18894, and quantile values: 0.25 0.055657\n0.50 0.188940\n0.75 0.816635\nName: 2496, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4845147698679244, std values: 4.938381198068489, min values: 3.7147e-06, max values: 40.135, median values: 0.21606, and quantile values: 0.25 0.069659\n0.50 0.216060\n0.75 0.871330\nName: 2497, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.508791729460975, std values: 5.098331172992691, min values: 2.0825e-08, max values: 44.168, median values: 0.21541, and quantile values: 0.25 0.054675\n0.50 0.215410\n0.75 0.934285\nName: 2498, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.753980199688805, std values: 5.339459269735478, min values: 9.4752e-07, max values: 45.059, median values: 0.26621, and quantile values: 0.25 0.067095\n0.50 0.266210\n0.75 1.164500\nName: 2499, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4473521360693713, std values: 4.96023541141697, min values: 2.7344e-07, max values: 41.98, median values: 0.22786, and quantile values: 0.25 0.053227\n0.50 0.227860\n0.75 0.778655\nName: 2500, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.536210947320126, std values: 5.1046111411920085, min values: 2.1482e-06, max values: 41.554, median values: 0.23908, and quantile values: 0.25 0.068667\n0.50 0.239080\n0.75 0.870420\nName: 2501, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4497726933944024, std values: 4.901021104532409, min values: 2.9689e-07, max values: 40.092, median values: 0.15976, and quantile values: 0.25 0.03778\n0.50 0.15976\n0.75 0.84630\nName: 2502, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3226362874562891, std values: 4.492546552202894, min values: 1.7944e-07, max values: 36.624, median values: 0.18248, and quantile values: 0.25 0.046249\n0.50 0.182480\n0.75 0.756195\nName: 2503, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4224608327086163, std values: 4.817157197380182, min values: 1.8427e-07, max values: 38.516, median values: 0.19846, and quantile values: 0.25 0.055840\n0.50 0.198460\n0.75 0.810385\nName: 2504, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4459619357843398, std values: 4.812003180022428, min values: 9.4021e-07, max values: 38.183, median values: 0.18423, and quantile values: 0.25 0.055044\n0.50 0.184230\n0.75 0.848130\nName: 2505, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.437580110547799, std values: 4.833954238962055, min values: 1.26e-07, max values: 38.721, median values: 0.17337, and quantile values: 0.25 0.049404\n0.50 0.173370\n0.75 0.803095\nName: 2506, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5843732699786162, std values: 5.137879290070864, min values: 2.534e-06, max values: 41.964, median values: 0.24342, and quantile values: 0.25 0.072253\n0.50 0.243420\n0.75 0.973355\nName: 2507, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.479130456943459, std values: 4.760483793605025, min values: 4.7931e-07, max values: 37.317, median values: 0.20952, and quantile values: 0.25 0.055960\n0.50 0.209520\n0.75 0.884765\nName: 2508, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3731508703644026, std values: 4.65506411190894, min values: 2.9492e-07, max values: 36.861, median values: 0.19502, and quantile values: 0.25 0.051388\n0.50 0.195020\n0.75 0.750245\nName: 2509, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4251771075932704, std values: 4.8499379795606945, min values: 4.9643e-07, max values: 39.66, median values: 0.1968, and quantile values: 0.25 0.051251\n0.50 0.196800\n0.75 0.758005\nName: 2510, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5563849612496854, std values: 5.064173452640064, min values: 1.7491e-06, max values: 41.639, median values: 0.25018, and quantile values: 0.25 0.077631\n0.50 0.250180\n0.75 1.000595\nName: 2511, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6845978816987424, std values: 4.998828831702633, min values: 1.6665e-06, max values: 38.832, median values: 0.29044, and quantile values: 0.25 0.087485\n0.50 0.290440\n0.75 1.157500\nName: 2512, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3968954465628114, std values: 4.60672840099824, min values: 6.4487e-08, max values: 37.412, median values: 0.1917, and quantile values: 0.25 0.054582\n0.50 0.191700\n0.75 0.809255\nName: 2513, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3448181427037733, std values: 4.837983963850388, min values: 4.4549e-06, max values: 41.441, median values: 0.19462, and quantile values: 0.25 0.051064\n0.50 0.194620\n0.75 0.593080\nName: 2514, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2604456551748429, std values: 4.873760942626884, min values: 2.3785e-06, max values: 39.43, median values: 0.16958, and quantile values: 0.25 0.052475\n0.50 0.169580\n0.75 0.628655\nName: 2515, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4685140377993713, std values: 4.745988127160651, min values: 1.6519e-06, max values: 39.067, median values: 0.2069, and quantile values: 0.25 0.066485\n0.50 0.206900\n0.75 0.903045\nName: 2516, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5835377547245282, std values: 5.099680530072548, min values: 1.1619e-06, max values: 42.483, median values: 0.22647, and quantile values: 0.25 0.067628\n0.50 0.226470\n0.75 1.016430\nName: 2517, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6495865417704403, std values: 5.09061991637685, min values: 1.849e-06, max values: 41.399, median values: 0.29849, and quantile values: 0.25 0.081507\n0.50 0.298490\n0.75 1.070850\nName: 2518, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.35764193876478, std values: 4.606899957053606, min values: 1.6555e-06, max values: 40.137, median values: 0.18663, and quantile values: 0.25 0.056472\n0.50 0.186630\n0.75 0.843090\nName: 2519, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8056661777006286, std values: 5.321866881465381, min values: 8.3594e-06, max values: 41.52, median values: 0.28751, and quantile values: 0.25 0.081849\n0.50 0.287510\n0.75 1.168600\nName: 2520, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8167450394509432, std values: 5.215895269352796, min values: 4.0835e-06, max values: 40.445, median values: 0.33355, and quantile values: 0.25 0.09214\n0.50 0.33355\n0.75 1.28910\nName: 2521, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3533433512845912, std values: 4.590238899121839, min values: 2.337e-07, max values: 35.94, median values: 0.1774, and quantile values: 0.25 0.048452\n0.50 0.177400\n0.75 0.747340\nName: 2522, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.252017513117107, std values: 4.442807231714009, min values: 2.4302e-07, max values: 37.643, median values: 0.14684, and quantile values: 0.25 0.042481\n0.50 0.146840\n0.75 0.693945\nName: 2523, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5145991626874216, std values: 5.205447043089077, min values: 1.5574e-06, max values: 45.599, median values: 0.21342, and quantile values: 0.25 0.065224\n0.50 0.213420\n0.75 0.906370\nName: 2524, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1419875787412577, std values: 4.399261002199124, min values: 4.9276e-07, max values: 37.803, median values: 0.12669, and quantile values: 0.25 0.042127\n0.50 0.126690\n0.75 0.594135\nName: 2525, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3947566568940881, std values: 4.882057329231164, min values: 4.7896e-07, max values: 40.517, median values: 0.21565, and quantile values: 0.25 0.052046\n0.50 0.215650\n0.75 0.791975\nName: 2526, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4225005754273585, std values: 4.932620438103318, min values: 4.6115e-07, max values: 40.893, median values: 0.22634, and quantile values: 0.25 0.060555\n0.50 0.226340\n0.75 0.784660\nName: 2527, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.596131578070566, std values: 5.181616375937681, min values: 7.6682e-07, max values: 43.976, median values: 0.24002, and quantile values: 0.25 0.064011\n0.50 0.240020\n0.75 0.951530\nName: 2528, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5626538826150944, std values: 5.075403218797031, min values: 1.4083e-06, max values: 41.528, median values: 0.23091, and quantile values: 0.25 0.064705\n0.50 0.230910\n0.75 1.007450\nName: 2529, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.452622241067736, std values: 4.885649861445434, min values: 2.6197e-07, max values: 40.098, median values: 0.21403, and quantile values: 0.25 0.059396\n0.50 0.214030\n0.75 0.956035\nName: 2530, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5027372700143393, std values: 5.045411252458625, min values: 4.6098e-07, max values: 43.291, median values: 0.26236, and quantile values: 0.25 0.068693\n0.50 0.262360\n0.75 0.918300\nName: 2531, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3915731249830818, std values: 4.62402746545758, min values: 1.978e-08, max values: 36.632, median values: 0.19092, and quantile values: 0.25 0.048313\n0.50 0.190920\n0.75 0.833475\nName: 2532, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5142495465408807, std values: 4.882040197426892, min values: 1.2212e-06, max values: 39.485, median values: 0.22271, and quantile values: 0.25 0.067319\n0.50 0.222710\n0.75 0.950315\nName: 2533, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4983727497316985, std values: 5.0178575379894435, min values: 6.1034e-07, max values: 41.237, median values: 0.20983, and quantile values: 0.25 0.05623\n0.50 0.20983\n0.75 0.88743\nName: 2534, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.324788758988679, std values: 4.7492294755879145, min values: 1.2284e-06, max values: 39.013, median values: 0.16636, and quantile values: 0.25 0.052821\n0.50 0.166360\n0.75 0.799660\nName: 2535, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.609930906644654, std values: 5.210106929464941, min values: 5.409e-06, max values: 40.91, median values: 0.27059, and quantile values: 0.25 0.082543\n0.50 0.270590\n0.75 0.899900\nName: 2536, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4816840802503144, std values: 4.797881839008232, min values: 1.841e-07, max values: 38.409, median values: 0.20953, and quantile values: 0.25 0.056865\n0.50 0.209530\n0.75 0.888360\nName: 2537, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6007972793981131, std values: 5.216796505094151, min values: 2.6762e-06, max values: 43.059, median values: 0.23784, and quantile values: 0.25 0.065269\n0.50 0.237840\n0.75 0.962075\nName: 2538, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3397699152140818, std values: 4.6815012947581485, min values: 1.7715e-08, max values: 38.489, median values: 0.15132, and quantile values: 0.25 0.033888\n0.50 0.151320\n0.75 0.694915\nName: 2539, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4842054469679247, std values: 4.982756793763471, min values: 1.3519e-06, max values: 40.61, median values: 0.24601, and quantile values: 0.25 0.065545\n0.50 0.246010\n0.75 0.865905\nName: 2540, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5211934453278613, std values: 5.189056037774151, min values: 9.6173e-07, max values: 45.001, median values: 0.20651, and quantile values: 0.25 0.057915\n0.50 0.206510\n0.75 0.962195\nName: 2541, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5623435553125786, std values: 5.037502812246142, min values: 1.975e-06, max values: 40.736, median values: 0.24304, and quantile values: 0.25 0.069593\n0.50 0.243040\n0.75 0.966350\nName: 2542, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.45603870869761, std values: 5.101519422496745, min values: 8.7972e-07, max values: 43.173, median values: 0.1962, and quantile values: 0.25 0.052878\n0.50 0.196200\n0.75 0.801815\nName: 2543, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5542570680433963, std values: 5.113779805622716, min values: 6.259e-07, max values: 41.526, median values: 0.21942, and quantile values: 0.25 0.064029\n0.50 0.219420\n0.75 0.960750\nName: 2544, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4334352326266038, std values: 4.871925531781956, min values: 2.8573e-07, max values: 40.289, median values: 0.20099, and quantile values: 0.25 0.060405\n0.50 0.200990\n0.75 0.864975\nName: 2545, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6005319920144654, std values: 4.922546325979914, min values: 3.8992e-06, max values: 40.538, median values: 0.24011, and quantile values: 0.25 0.068535\n0.50 0.240110\n0.75 1.015630\nName: 2546, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3503023042322642, std values: 4.973273250804231, min values: 2.2463e-07, max values: 42.377, median values: 0.16932, and quantile values: 0.25 0.046697\n0.50 0.169320\n0.75 0.759150\nName: 2547, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5715993815289309, std values: 5.052972305676752, min values: 2.9697e-06, max values: 40.011, median values: 0.26142, and quantile values: 0.25 0.079439\n0.50 0.261420\n0.75 0.927060\nName: 2548, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6964699106698113, std values: 5.065226196777543, min values: 3.3675e-06, max values: 39.357, median values: 0.28786, and quantile values: 0.25 0.080221\n0.50 0.287860\n0.75 1.171900\nName: 2549, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7304867856169812, std values: 5.219329410553595, min values: 4.5831e-06, max values: 41.155, median values: 0.30627, and quantile values: 0.25 0.096501\n0.50 0.306270\n0.75 1.086300\nName: 2550, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4639128643025154, std values: 4.844077159435544, min values: 1.5228e-06, max values: 39.067, median values: 0.20631, and quantile values: 0.25 0.058982\n0.50 0.206310\n0.75 0.908320\nName: 2551, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5245783753792452, std values: 5.183883074220785, min values: 1.7771e-06, max values: 42.651, median values: 0.21412, and quantile values: 0.25 0.063804\n0.50 0.214120\n0.75 0.827295\nName: 2552, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5751360438402517, std values: 5.160586524411095, min values: 1.9827e-06, max values: 42.636, median values: 0.26259, and quantile values: 0.25 0.070175\n0.50 0.262590\n0.75 0.991530\nName: 2553, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4287344492044027, std values: 4.846850407618427, min values: 3.1705e-07, max values: 39.885, median values: 0.16801, and quantile values: 0.25 0.052629\n0.50 0.168010\n0.75 0.792945\nName: 2554, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5564309717320124, std values: 5.010203172095571, min values: 1.9139e-07, max values: 41.2, median values: 0.22665, and quantile values: 0.25 0.056026\n0.50 0.226650\n0.75 1.032000\nName: 2555, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5189339174572325, std values: 5.170611276344967, min values: 5.5729e-06, max values: 42.344, median values: 0.21039, and quantile values: 0.25 0.064214\n0.50 0.210390\n0.75 0.741660\nName: 2556, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.537553516353459, std values: 4.845299063902128, min values: 2.5506e-06, max values: 38.917, median values: 0.25048, and quantile values: 0.25 0.079081\n0.50 0.250480\n0.75 1.025800\nName: 2557, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.64662806864717, std values: 4.903061195408805, min values: 2.042e-06, max values: 38.685, median values: 0.28095, and quantile values: 0.25 0.077119\n0.50 0.280950\n0.75 1.081200\nName: 2558, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4835029257291823, std values: 4.820436018322151, min values: 1.0794e-07, max values: 39.011, median values: 0.21636, and quantile values: 0.25 0.053747\n0.50 0.216360\n0.75 0.954365\nName: 2559, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4104291426477988, std values: 4.79802598167133, min values: 1.767e-06, max values: 39.108, median values: 0.21427, and quantile values: 0.25 0.057475\n0.50 0.214270\n0.75 0.873900\nName: 2560, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3181822514792452, std values: 4.926069088669805, min values: 1.1931e-06, max values: 40.593, median values: 0.16806, and quantile values: 0.25 0.050877\n0.50 0.168060\n0.75 0.717020\nName: 2561, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6229715319635218, std values: 5.18217474152569, min values: 1.1308e-06, max values: 43.865, median values: 0.23444, and quantile values: 0.25 0.069177\n0.50 0.234440\n0.75 0.997430\nName: 2562, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.591141209435849, std values: 4.995561309452416, min values: 1.2928e-06, max values: 40.025, median values: 0.24386, and quantile values: 0.25 0.072419\n0.50 0.243860\n0.75 1.035500\nName: 2563, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6876913712289308, std values: 4.900388139822753, min values: 1.0481e-06, max values: 38.199, median values: 0.27747, and quantile values: 0.25 0.069713\n0.50 0.277470\n0.75 1.182700\nName: 2564, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5964339036779873, std values: 4.974586192295259, min values: 1.9014e-06, max values: 39.343, median values: 0.25808, and quantile values: 0.25 0.072768\n0.50 0.258080\n0.75 1.005285\nName: 2565, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6113371292096226, std values: 5.034544872250502, min values: 1.3231e-07, max values: 41.888, median values: 0.26644, and quantile values: 0.25 0.054528\n0.50 0.266440\n0.75 0.977130\nName: 2566, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3926473014216352, std values: 4.654920859240304, min values: 5.7064e-07, max values: 37.969, median values: 0.19895, and quantile values: 0.25 0.060449\n0.50 0.198950\n0.75 0.768800\nName: 2567, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5694064431654087, std values: 4.848140561787529, min values: 1.1654e-06, max values: 38.32, median values: 0.28955, and quantile values: 0.25 0.075323\n0.50 0.289550\n0.75 1.033935\nName: 2568, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.514348872294088, std values: 5.051571191833427, min values: 1.4045e-07, max values: 43.529, median values: 0.18141, and quantile values: 0.25 0.050218\n0.50 0.181410\n0.75 0.869715\nName: 2569, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4430461437345912, std values: 4.816502050088088, min values: 2.5159e-06, max values: 38.664, median values: 0.23668, and quantile values: 0.25 0.072714\n0.50 0.236680\n0.75 0.839240\nName: 2570, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6732448607993713, std values: 5.004475175944763, min values: 6.8661e-06, max values: 40.975, median values: 0.27499, and quantile values: 0.25 0.079588\n0.50 0.274990\n0.75 1.049650\nName: 2571, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7463010111798742, std values: 5.1454651403968565, min values: 3.1412e-06, max values: 40.682, median values: 0.33613, and quantile values: 0.25 0.086987\n0.50 0.336130\n0.75 1.195050\nName: 2572, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.485250165371195, std values: 4.895862585296016, min values: 6.3562e-07, max values: 39.487, median values: 0.23092, and quantile values: 0.25 0.063498\n0.50 0.230920\n0.75 0.919615\nName: 2573, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.431733656855346, std values: 4.90333567074611, min values: 6.058e-07, max values: 39.484, median values: 0.19185, and quantile values: 0.25 0.052672\n0.50 0.191850\n0.75 0.878910\nName: 2574, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5611396603251573, std values: 4.940804820438187, min values: 2.504e-06, max values: 39.006, median values: 0.2464, and quantile values: 0.25 0.076979\n0.50 0.246400\n0.75 0.984485\nName: 2575, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5207040256666666, std values: 4.815484617452053, min values: 1.7116e-06, max values: 38.952, median values: 0.23074, and quantile values: 0.25 0.060784\n0.50 0.230740\n0.75 0.981620\nName: 2576, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4781455935801886, std values: 4.842310653455552, min values: 2.4835e-07, max values: 38.626, median values: 0.24497, and quantile values: 0.25 0.060257\n0.50 0.244970\n0.75 0.916910\nName: 2577, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4683711371345913, std values: 4.709780277092477, min values: 1.6896e-06, max values: 38.564, median values: 0.22744, and quantile values: 0.25 0.068779\n0.50 0.227440\n0.75 0.906895\nName: 2578, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.629252000371069, std values: 5.156664244635327, min values: 3.0816e-06, max values: 41.931, median values: 0.25806, and quantile values: 0.25 0.074539\n0.50 0.258060\n0.75 1.064350\nName: 2579, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.523517699961761, std values: 4.938533658859854, min values: 3.4662e-07, max values: 40.546, median values: 0.24043, and quantile values: 0.25 0.057066\n0.50 0.240430\n0.75 0.995815\nName: 2580, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6107233607867923, std values: 5.046131148461824, min values: 3.4052e-06, max values: 39.826, median values: 0.26589, and quantile values: 0.25 0.072987\n0.50 0.265890\n0.75 1.062700\nName: 2581, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6298541129408806, std values: 5.196947279070968, min values: 5.1527e-06, max values: 41.575, median values: 0.28269, and quantile values: 0.25 0.081938\n0.50 0.282690\n0.75 0.980125\nName: 2582, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3430683509572328, std values: 4.86784637631069, min values: 2.7177e-06, max values: 41.08, median values: 0.17999, and quantile values: 0.25 0.053811\n0.50 0.179990\n0.75 0.725690\nName: 2583, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3146977968549687, std values: 4.826063752328419, min values: 6.3354e-07, max values: 40.133, median values: 0.17809, and quantile values: 0.25 0.054943\n0.50 0.178090\n0.75 0.693960\nName: 2584, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2052864006928932, std values: 4.790911666891415, min values: 8.9687e-07, max values: 38.935, median values: 0.13049, and quantile values: 0.25 0.038871\n0.50 0.130490\n0.75 0.591325\nName: 2585, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4939368126955976, std values: 5.151046154050259, min values: 2.6018e-06, max values: 42.429, median values: 0.22984, and quantile values: 0.25 0.065300\n0.50 0.229840\n0.75 0.875905\nName: 2586, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5953150267987422, std values: 5.15283108626008, min values: 1.4613e-06, max values: 43.502, median values: 0.29937, and quantile values: 0.25 0.074145\n0.50 0.299370\n0.75 0.953955\nName: 2587, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3573585950509308, std values: 4.686684043508155, min values: 2.1788e-08, max values: 37.387, median values: 0.19422, and quantile values: 0.25 0.051120\n0.50 0.194220\n0.75 0.825115\nName: 2588, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3677591360017232, std values: 4.941906381173439, min values: 2.1184e-08, max values: 42.092, median values: 0.17475, and quantile values: 0.25 0.045998\n0.50 0.174750\n0.75 0.730695\nName: 2589, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4497276360716982, std values: 4.917405524334856, min values: 2.3468e-06, max values: 39.242, median values: 0.21403, and quantile values: 0.25 0.065215\n0.50 0.214030\n0.75 0.853650\nName: 2590, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4840904146684277, std values: 4.951716507812477, min values: 4.1588e-07, max values: 41.257, median values: 0.21881, and quantile values: 0.25 0.057049\n0.50 0.218810\n0.75 0.928700\nName: 2591, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8751705691358493, std values: 5.595860025339681, min values: 2.1575e-06, max values: 48.675, median values: 0.31511, and quantile values: 0.25 0.082535\n0.50 0.315110\n0.75 1.298550\nName: 2592, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7129830527461636, std values: 5.139128089406077, min values: 8.9104e-07, max values: 42.011, median values: 0.28609, and quantile values: 0.25 0.071347\n0.50 0.286090\n0.75 1.163450\nName: 2593, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5848057943515725, std values: 5.177310289881987, min values: 4.2976e-06, max values: 41.465, median values: 0.24566, and quantile values: 0.25 0.071967\n0.50 0.245660\n0.75 0.892300\nName: 2594, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7235580112064777, std values: 4.968688823444994, min values: 8.3233e-07, max values: 38.832, median values: 0.30761, and quantile values: 0.25 0.076649\n0.50 0.307610\n0.75 1.267600\nName: 2595, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6919171321000501, std values: 4.847783541141848, min values: 3.5308e-08, max values: 36.978, median values: 0.26791, and quantile values: 0.25 0.065212\n0.50 0.267910\n0.75 1.248300\nName: 2596, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.706728334528302, std values: 5.31320661677562, min values: 9.942e-07, max values: 46.006, median values: 0.26842, and quantile values: 0.25 0.072158\n0.50 0.268420\n0.75 1.155850\nName: 2597, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4557142531345912, std values: 4.927476498566169, min values: 1.1298e-06, max values: 40.046, median values: 0.22862, and quantile values: 0.25 0.060409\n0.50 0.228620\n0.75 0.792430\nName: 2598, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5944849169503146, std values: 5.0455805780481855, min values: 1.7107e-06, max values: 40.168, median values: 0.24374, and quantile values: 0.25 0.071684\n0.50 0.243740\n0.75 1.055400\nName: 2599, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.481287316827044, std values: 4.945783469374062, min values: 1.8636e-06, max values: 39.422, median values: 0.22647, and quantile values: 0.25 0.059189\n0.50 0.226470\n0.75 0.870590\nName: 2600, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.462472613910063, std values: 4.847429550643375, min values: 1.0484e-06, max values: 38.777, median values: 0.17267, and quantile values: 0.25 0.052406\n0.50 0.172670\n0.75 0.868850\nName: 2601, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.364760645447, std values: 4.928341070462413, min values: 1.2213e-08, max values: 41.909, median values: 0.17635, and quantile values: 0.25 0.038754\n0.50 0.176350\n0.75 0.741385\nName: 2602, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4389028741201257, std values: 4.754303152000514, min values: 1.4727e-06, max values: 39.895, median values: 0.21006, and quantile values: 0.25 0.059685\n0.50 0.210060\n0.75 0.886445\nName: 2603, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4521364543408808, std values: 5.0944576202190435, min values: 1.7498e-06, max values: 42.067, median values: 0.21529, and quantile values: 0.25 0.063292\n0.50 0.215290\n0.75 0.854035\nName: 2604, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4910620408131448, std values: 5.0969662331255945, min values: 2.3969e-07, max values: 43.882, median values: 0.19431, and quantile values: 0.25 0.053866\n0.50 0.194310\n0.75 0.908135\nName: 2605, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2926670744150943, std values: 4.834756387848208, min values: 1.2645e-06, max values: 39.21, median values: 0.16763, and quantile values: 0.25 0.051291\n0.50 0.167630\n0.75 0.656505\nName: 2606, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.400906022812893, std values: 4.863646183240585, min values: 4.4185e-07, max values: 40.265, median values: 0.18676, and quantile values: 0.25 0.042249\n0.50 0.186760\n0.75 0.784030\nName: 2607, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.48939760951761, std values: 4.941332796588651, min values: 1.556e-06, max values: 39.617, median values: 0.21566, and quantile values: 0.25 0.057298\n0.50 0.215660\n0.75 0.889850\nName: 2608, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2272292923757862, std values: 4.642596026323433, min values: 8.4275e-07, max values: 38.158, median values: 0.16225, and quantile values: 0.25 0.053607\n0.50 0.162250\n0.75 0.654090\nName: 2609, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6206442784396224, std values: 5.000230626270361, min values: 1.5005e-06, max values: 40.034, median values: 0.28179, and quantile values: 0.25 0.078922\n0.50 0.281790\n0.75 1.061300\nName: 2610, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5195248482056605, std values: 5.143949062815078, min values: 2.6974e-06, max values: 41.915, median values: 0.2388, and quantile values: 0.25 0.062075\n0.50 0.238800\n0.75 0.870245\nName: 2611, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5315127507433963, std values: 5.053721902710712, min values: 4.9396e-06, max values: 41.048, median values: 0.24744, and quantile values: 0.25 0.06661\n0.50 0.24744\n0.75 0.87794\nName: 2612, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3782697361798741, std values: 4.7922346613258835, min values: 1.0226e-06, max values: 38.217, median values: 0.2086, and quantile values: 0.25 0.06285\n0.50 0.20860\n0.75 0.85890\nName: 2613, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4812037697710694, std values: 4.970041254703309, min values: 1.8677e-06, max values: 39.834, median values: 0.22678, and quantile values: 0.25 0.067937\n0.50 0.226780\n0.75 0.906025\nName: 2614, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4722671240573963, std values: 4.996191115429401, min values: 1.6596e-08, max values: 42.682, median values: 0.18915, and quantile values: 0.25 0.056135\n0.50 0.189150\n0.75 0.847955\nName: 2615, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5740997033351574, std values: 4.920615227900308, min values: 6.6229e-07, max values: 38.992, median values: 0.23805, and quantile values: 0.25 0.068992\n0.50 0.238050\n0.75 1.060400\nName: 2616, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4912919380169811, std values: 4.806073831362021, min values: 1.2523e-06, max values: 38.644, median values: 0.22639, and quantile values: 0.25 0.061212\n0.50 0.226390\n0.75 0.969890\nName: 2617, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3202442530037735, std values: 4.799274260647578, min values: 2.1674e-06, max values: 40.495, median values: 0.19013, and quantile values: 0.25 0.052461\n0.50 0.190130\n0.75 0.668165\nName: 2618, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5226208223036477, std values: 4.960691749903804, min values: 1.1988e-07, max values: 41.039, median values: 0.23803, and quantile values: 0.25 0.069467\n0.50 0.238030\n0.75 0.964360\nName: 2619, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6032398898811322, std values: 4.873550451212163, min values: 2.3071e-06, max values: 38.84, median values: 0.27162, and quantile values: 0.25 0.073638\n0.50 0.271620\n0.75 1.097150\nName: 2620, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4329191411226416, std values: 4.904348201462601, min values: 2.0601e-06, max values: 39.149, median values: 0.2282, and quantile values: 0.25 0.057039\n0.50 0.228200\n0.75 0.856075\nName: 2621, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5892642712503144, std values: 4.86694953125597, min values: 3.6008e-06, max values: 39.859, median values: 0.23512, and quantile values: 0.25 0.072882\n0.50 0.235120\n0.75 1.049300\nName: 2622, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4573000179088051, std values: 4.976160916735849, min values: 1.8603e-06, max values: 39.771, median values: 0.23257, and quantile values: 0.25 0.062302\n0.50 0.232570\n0.75 0.924435\nName: 2623, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3501080939619496, std values: 4.807047494486952, min values: 1.4483e-07, max values: 39.828, median values: 0.18619, and quantile values: 0.25 0.040778\n0.50 0.186190\n0.75 0.724635\nName: 2624, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2881675278666667, std values: 4.910353417708788, min values: 1.4451e-06, max values: 39.793, median values: 0.17448, and quantile values: 0.25 0.047615\n0.50 0.174480\n0.75 0.620740\nName: 2625, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4683121311981133, std values: 5.069274013094894, min values: 2.3191e-06, max values: 41.95, median values: 0.20953, and quantile values: 0.25 0.059503\n0.50 0.209530\n0.75 0.873265\nName: 2626, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1917193060203775, std values: 4.440269397563031, min values: 3.0894e-07, max values: 37.787, median values: 0.1465, and quantile values: 0.25 0.042205\n0.50 0.146500\n0.75 0.623930\nName: 2627, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3127303545874214, std values: 4.578132206934591, min values: 9.641e-07, max values: 38.595, median values: 0.16386, and quantile values: 0.25 0.055073\n0.50 0.163860\n0.75 0.752975\nName: 2628, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6474893611854717, std values: 5.159305899175917, min values: 9.6119e-07, max values: 43.603, median values: 0.26844, and quantile values: 0.25 0.073334\n0.50 0.268440\n0.75 1.065250\nName: 2629, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4142009095737107, std values: 4.946283433706325, min values: 2.6522e-07, max values: 41.648, median values: 0.20182, and quantile values: 0.25 0.053873\n0.50 0.201820\n0.75 0.769200\nName: 2630, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5492037890339623, std values: 5.102119379660059, min values: 1.4789e-06, max values: 42.262, median values: 0.24035, and quantile values: 0.25 0.070349\n0.50 0.240350\n0.75 0.990175\nName: 2631, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5420488423830188, std values: 5.108945995212067, min values: 1.6732e-06, max values: 42.206, median values: 0.2352, and quantile values: 0.25 0.070127\n0.50 0.235200\n0.75 0.932820\nName: 2632, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4665734614893082, std values: 4.811885618579585, min values: 2.6452e-06, max values: 38.996, median values: 0.22885, and quantile values: 0.25 0.073653\n0.50 0.228850\n0.75 0.888990\nName: 2633, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4272569226031446, std values: 5.061319912800121, min values: 3.5153e-06, max values: 41.385, median values: 0.19249, and quantile values: 0.25 0.063306\n0.50 0.192490\n0.75 0.760720\nName: 2634, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.423326578088868, std values: 4.83210184301929, min values: 2.21e-07, max values: 40.139, median values: 0.19327, and quantile values: 0.25 0.049598\n0.50 0.193270\n0.75 0.764895\nName: 2635, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.407478315237736, std values: 4.524464948997471, min values: 1.4852e-06, max values: 37.759, median values: 0.22615, and quantile values: 0.25 0.069246\n0.50 0.226150\n0.75 0.886720\nName: 2636, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4821508570540882, std values: 4.915381771010321, min values: 2.6313e-06, max values: 39.488, median values: 0.22902, and quantile values: 0.25 0.069092\n0.50 0.229020\n0.75 0.902285\nName: 2637, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5601031781425159, std values: 4.794237948256992, min values: 9.1466e-07, max values: 37.281, median values: 0.24486, and quantile values: 0.25 0.069524\n0.50 0.244860\n0.75 1.032000\nName: 2638, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4549381675379875, std values: 4.647810182722642, min values: 3.8594e-07, max values: 37.2, median values: 0.23232, and quantile values: 0.25 0.059226\n0.50 0.232320\n0.75 0.941265\nName: 2639, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5943331061596226, std values: 4.953594407777392, min values: 5.5588e-07, max values: 39.884, median values: 0.26131, and quantile values: 0.25 0.068796\n0.50 0.261310\n0.75 1.066000\nName: 2640, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.364540647792453, std values: 4.958964847869132, min values: 2.2581e-06, max values: 40.52, median values: 0.18781, and quantile values: 0.25 0.049698\n0.50 0.187810\n0.75 0.791370\nName: 2641, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4837419896251574, std values: 4.7705040974378505, min values: 1.5614e-06, max values: 39.011, median values: 0.25812, and quantile values: 0.25 0.076354\n0.50 0.258120\n0.75 0.911500\nName: 2642, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7114511581012581, std values: 5.264870617489485, min values: 3.2952e-06, max values: 42.885, median values: 0.30021, and quantile values: 0.25 0.081432\n0.50 0.300210\n0.75 1.093100\nName: 2643, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5619855932150943, std values: 5.131170143042842, min values: 1.0626e-06, max values: 43.136, median values: 0.27025, and quantile values: 0.25 0.065258\n0.50 0.270250\n0.75 0.884405\nName: 2644, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.41898055775805, std values: 5.011170735149446, min values: 4.1483e-07, max values: 43.072, median values: 0.18757, and quantile values: 0.25 0.05736\n0.50 0.18757\n0.75 0.79459\nName: 2645, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2633478842855348, std values: 4.627619128615836, min values: 1.4545e-06, max values: 39.331, median values: 0.15908, and quantile values: 0.25 0.047377\n0.50 0.159080\n0.75 0.703085\nName: 2646, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6031754798704403, std values: 5.118730094706891, min values: 1.2549e-06, max values: 42.338, median values: 0.2304, and quantile values: 0.25 0.066259\n0.50 0.230400\n0.75 1.018830\nName: 2647, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2503326683166667, std values: 4.718999334508047, min values: 7.1525e-07, max values: 38.263, median values: 0.13478, and quantile values: 0.25 0.04719\n0.50 0.13478\n0.75 0.60759\nName: 2648, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.577424914608176, std values: 4.99334848806208, min values: 1.0723e-06, max values: 40.517, median values: 0.29599, and quantile values: 0.25 0.072855\n0.50 0.295990\n0.75 0.990360\nName: 2649, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4788866317818365, std values: 5.046557403245254, min values: 2.6542e-08, max values: 44.098, median values: 0.20988, and quantile values: 0.25 0.043969\n0.50 0.209880\n0.75 0.835745\nName: 2650, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6662063976584904, std values: 5.365351473446701, min values: 2.1798e-06, max values: 45.912, median values: 0.25266, and quantile values: 0.25 0.081567\n0.50 0.252660\n0.75 1.033330\nName: 2651, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7688344815591195, std values: 4.984969760884374, min values: 1.5123e-06, max values: 38.511, median values: 0.30316, and quantile values: 0.25 0.085023\n0.50 0.303160\n0.75 1.256600\nName: 2652, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.352733684844151, std values: 4.654772670715008, min values: 4.0542e-07, max values: 37.747, median values: 0.21681, and quantile values: 0.25 0.063419\n0.50 0.216810\n0.75 0.810790\nName: 2653, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4167949243571072, std values: 4.869183791605491, min values: 8.7368e-07, max values: 39.534, median values: 0.20617, and quantile values: 0.25 0.058439\n0.50 0.206170\n0.75 0.817280\nName: 2654, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4869357546942767, std values: 5.06247621840078, min values: 9.5039e-07, max values: 42.675, median values: 0.23099, and quantile values: 0.25 0.071532\n0.50 0.230990\n0.75 0.901090\nName: 2655, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5006887738226418, std values: 5.080705283880658, min values: 4.1588e-06, max values: 40.658, median values: 0.23333, and quantile values: 0.25 0.071297\n0.50 0.233330\n0.75 0.842080\nName: 2656, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6567143695660378, std values: 5.305751021567817, min values: 1.9471e-06, max values: 44.918, median values: 0.26308, and quantile values: 0.25 0.075685\n0.50 0.263080\n0.75 1.039250\nName: 2657, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4561448048559118, std values: 4.9385820479703915, min values: 1.7099e-07, max values: 40.184, median values: 0.21418, and quantile values: 0.25 0.056944\n0.50 0.214180\n0.75 0.922060\nName: 2658, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4257249448496856, std values: 4.803333289918655, min values: 1.0768e-06, max values: 38.235, median values: 0.23627, and quantile values: 0.25 0.06986\n0.50 0.23627\n0.75 0.87678\nName: 2659, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.422942664112824, std values: 4.695474499097793, min values: 1.2289e-08, max values: 36.863, median values: 0.17395, and quantile values: 0.25 0.044877\n0.50 0.173950\n0.75 0.868605\nName: 2660, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.675224930579874, std values: 5.2881921313346085, min values: 7.6422e-06, max values: 42.46, median values: 0.2766, and quantile values: 0.25 0.070525\n0.50 0.276600\n0.75 1.061650\nName: 2661, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.707662534992201, std values: 5.212476111980291, min values: 1.2287e-07, max values: 44.93, median values: 0.24317, and quantile values: 0.25 0.060558\n0.50 0.243170\n0.75 1.139050\nName: 2662, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4034101907113208, std values: 5.029797605758379, min values: 2.4265e-06, max values: 40.513, median values: 0.20329, and quantile values: 0.25 0.057653\n0.50 0.203290\n0.75 0.758350\nName: 2663, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5188016675245284, std values: 4.885964514694838, min values: 1.4499e-06, max values: 39.082, median values: 0.21993, and quantile values: 0.25 0.065754\n0.50 0.219930\n0.75 0.947470\nName: 2664, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6024583846226415, std values: 5.006287876443071, min values: 2.0002e-06, max values: 39.528, median values: 0.26201, and quantile values: 0.25 0.071958\n0.50 0.262010\n0.75 1.041550\nName: 2665, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4468328111968554, std values: 4.8413311332318845, min values: 1.587e-06, max values: 38.163, median values: 0.19448, and quantile values: 0.25 0.056898\n0.50 0.194480\n0.75 0.854780\nName: 2666, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6733074457801131, std values: 4.949724429343883, min values: 3.5638e-08, max values: 39.389, median values: 0.30629, and quantile values: 0.25 0.06841\n0.50 0.30629\n0.75 1.20730\nName: 2667, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5829219551251574, std values: 5.059804875721269, min values: 2.373e-06, max values: 40.688, median values: 0.23222, and quantile values: 0.25 0.066441\n0.50 0.232220\n0.75 1.017950\nName: 2668, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.464296004616478, std values: 4.944637532622904, min values: 1.5712e-07, max values: 41.384, median values: 0.21278, and quantile values: 0.25 0.059342\n0.50 0.212780\n0.75 0.905495\nName: 2669, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3475194130723271, std values: 4.685755004047015, min values: 1.5749e-06, max values: 39.146, median values: 0.17773, and quantile values: 0.25 0.05495\n0.50 0.17773\n0.75 0.79983\nName: 2670, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6027968025327042, std values: 5.0874269739993245, min values: 2.0127e-06, max values: 40.744, median values: 0.28043, and quantile values: 0.25 0.073287\n0.50 0.280430\n0.75 1.021885\nName: 2671, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5920416956932073, std values: 5.140120052753132, min values: 6.9532e-07, max values: 43.856, median values: 0.25154, and quantile values: 0.25 0.067575\n0.50 0.251540\n0.75 1.060345\nName: 2672, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4297562612919497, std values: 4.866409975384385, min values: 2.2142e-07, max values: 40.347, median values: 0.20415, and quantile values: 0.25 0.052429\n0.50 0.204150\n0.75 0.805120\nName: 2673, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5633822183982389, std values: 4.678869820803947, min values: 4.8702e-07, max values: 37.15, median values: 0.26335, and quantile values: 0.25 0.066283\n0.50 0.263350\n0.75 1.079750\nName: 2674, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.783635844535912, std values: 5.15792450823172, min values: 1.2331e-07, max values: 42.115, median values: 0.3011, and quantile values: 0.25 0.072538\n0.50 0.301100\n0.75 1.242550\nName: 2675, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.407788357108176, std values: 4.989044884236605, min values: 4.4111e-06, max values: 41.333, median values: 0.22389, and quantile values: 0.25 0.047473\n0.50 0.223890\n0.75 0.739985\nName: 2676, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3472457962044027, std values: 4.733065228478264, min values: 2.5483e-06, max values: 39.774, median values: 0.19273, and quantile values: 0.25 0.054869\n0.50 0.192730\n0.75 0.805525\nName: 2677, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4474191094491193, std values: 4.7850130212767805, min values: 7.9241e-07, max values: 37.674, median values: 0.22101, and quantile values: 0.25 0.059822\n0.50 0.221010\n0.75 0.820055\nName: 2678, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6252116910427672, std values: 5.033468972445924, min values: 4.09e-06, max values: 40.815, median values: 0.27414, and quantile values: 0.25 0.075655\n0.50 0.274140\n0.75 1.041615\nName: 2679, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.460034270302893, std values: 4.905832757930491, min values: 5.1486e-07, max values: 40.425, median values: 0.20729, and quantile values: 0.25 0.058701\n0.50 0.207290\n0.75 0.849780\nName: 2680, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3829637921227738, std values: 4.761568584784556, min values: 1.4712e-08, max values: 39.206, median values: 0.17706, and quantile values: 0.25 0.037685\n0.50 0.177060\n0.75 0.790525\nName: 2681, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2285340047910691, std values: 4.5780844362864705, min values: 1.9862e-07, max values: 37.046, median values: 0.15682, and quantile values: 0.25 0.044242\n0.50 0.156820\n0.75 0.672205\nName: 2682, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4209614509836477, std values: 5.012856462192986, min values: 1.9464e-06, max values: 41.449, median values: 0.21168, and quantile values: 0.25 0.055160\n0.50 0.211680\n0.75 0.818735\nName: 2683, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.285987944009868, std values: 4.838397257337082, min values: 2.3259e-08, max values: 41.904, median values: 0.15659, and quantile values: 0.25 0.035026\n0.50 0.156590\n0.75 0.610375\nName: 2684, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4438543055477107, std values: 4.6218497338091975, min values: 1.8846e-08, max values: 37.372, median values: 0.19728, and quantile values: 0.25 0.043789\n0.50 0.197280\n0.75 0.893690\nName: 2685, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4506569238477987, std values: 4.943175891041298, min values: 5.699e-07, max values: 40.93, median values: 0.19911, and quantile values: 0.25 0.056271\n0.50 0.199110\n0.75 0.826915\nName: 2686, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.472938631202264, std values: 4.936802643242838, min values: 8.6816e-07, max values: 40.015, median values: 0.19746, and quantile values: 0.25 0.061274\n0.50 0.197460\n0.75 0.887785\nName: 2687, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.501482389210692, std values: 4.978140967192376, min values: 2.8706e-06, max values: 39.527, median values: 0.23269, and quantile values: 0.25 0.06752\n0.50 0.23269\n0.75 0.91872\nName: 2688, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6727823991981132, std values: 5.247540588342935, min values: 8.1035e-06, max values: 41.871, median values: 0.2395, and quantile values: 0.25 0.071699\n0.50 0.239500\n0.75 0.996125\nName: 2689, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3200509666542135, std values: 4.827647260864732, min values: 7.6842e-07, max values: 38.939, median values: 0.19178, and quantile values: 0.25 0.052805\n0.50 0.191780\n0.75 0.799460\nName: 2690, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3751479880792454, std values: 4.747899915407769, min values: 1.9923e-06, max values: 39.196, median values: 0.18913, and quantile values: 0.25 0.058843\n0.50 0.189130\n0.75 0.774265\nName: 2691, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.343577957984088, std values: 4.874833940964657, min values: 1.534e-07, max values: 41.552, median values: 0.14782, and quantile values: 0.25 0.037628\n0.50 0.147820\n0.75 0.693930\nName: 2692, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.346731420138805, std values: 4.934316011710729, min values: 8.6787e-07, max values: 40.383, median values: 0.18765, and quantile values: 0.25 0.049120\n0.50 0.187650\n0.75 0.712045\nName: 2693, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.445924057543396, std values: 5.167416833442227, min values: 1.6776e-06, max values: 44.158, median values: 0.19321, and quantile values: 0.25 0.056883\n0.50 0.193210\n0.75 0.829685\nName: 2694, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5588319854308177, std values: 5.024033499226775, min values: 3.0598e-06, max values: 40.206, median values: 0.27013, and quantile values: 0.25 0.069315\n0.50 0.270130\n0.75 0.947535\nName: 2695, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4399217052289306, std values: 4.71839407977165, min values: 1.2836e-06, max values: 38.13, median values: 0.23241, and quantile values: 0.25 0.067998\n0.50 0.232410\n0.75 0.818060\nName: 2696, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4797176782915094, std values: 4.890733469931957, min values: 5.5765e-07, max values: 40.07, median values: 0.19863, and quantile values: 0.25 0.063152\n0.50 0.198630\n0.75 0.829025\nName: 2697, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2566146250899999, std values: 4.59926754847226, min values: 3.2581e-07, max values: 38.19, median values: 0.17101, and quantile values: 0.25 0.047411\n0.50 0.171010\n0.75 0.713170\nName: 2698, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2939185394075474, std values: 5.090961864426645, min values: 2.1401e-06, max values: 43.328, median values: 0.16022, and quantile values: 0.25 0.045068\n0.50 0.160220\n0.75 0.637585\nName: 2699, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5256261749573587, std values: 4.950930663334398, min values: 9.8962e-07, max values: 41.122, median values: 0.26446, and quantile values: 0.25 0.064613\n0.50 0.264460\n0.75 0.957640\nName: 2700, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4436152307752832, std values: 4.693122882085572, min values: 2.0818e-07, max values: 37.303, median values: 0.21638, and quantile values: 0.25 0.055443\n0.50 0.216380\n0.75 0.862165\nName: 2701, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3849191730257862, std values: 4.773946625936606, min values: 1.0749e-06, max values: 38.605, median values: 0.22362, and quantile values: 0.25 0.068568\n0.50 0.223620\n0.75 0.812095\nName: 2702, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4141877449125788, std values: 5.041649153158345, min values: 3.9548e-06, max values: 40.688, median values: 0.20366, and quantile values: 0.25 0.064685\n0.50 0.203660\n0.75 0.751520\nName: 2703, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4319434181956603, std values: 4.788331659344584, min values: 2.1601e-07, max values: 38.465, median values: 0.21522, and quantile values: 0.25 0.060888\n0.50 0.215220\n0.75 0.910560\nName: 2704, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5299505649219498, std values: 4.971805944811874, min values: 7.0339e-07, max values: 41.005, median values: 0.23356, and quantile values: 0.25 0.058923\n0.50 0.233560\n0.75 0.921785\nName: 2705, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3463120717866037, std values: 4.934382655727849, min values: 6.4767e-07, max values: 40.722, median values: 0.15392, and quantile values: 0.25 0.047633\n0.50 0.153920\n0.75 0.755920\nName: 2706, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5154102437006538, std values: 4.768694654208982, min values: 1.7074e-08, max values: 37.491, median values: 0.18673, and quantile values: 0.25 0.05654\n0.50 0.18673\n0.75 0.98454\nName: 2707, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3972950554257861, std values: 5.075054277676578, min values: 1.6054e-06, max values: 43.203, median values: 0.19522, and quantile values: 0.25 0.057146\n0.50 0.195220\n0.75 0.776890\nName: 2708, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4902618339527673, std values: 4.970419459483143, min values: 6.0349e-07, max values: 41.479, median values: 0.25022, and quantile values: 0.25 0.069909\n0.50 0.250220\n0.75 0.903640\nName: 2709, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4639515020528302, std values: 5.111935469568824, min values: 1.7096e-06, max values: 42.094, median values: 0.20085, and quantile values: 0.25 0.054944\n0.50 0.200850\n0.75 0.830900\nName: 2710, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6176702288006293, std values: 5.110965865829436, min values: 1.9298e-06, max values: 40.806, median values: 0.25496, and quantile values: 0.25 0.069194\n0.50 0.254960\n0.75 1.058890\nName: 2711, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.587941804628302, std values: 5.142834720250285, min values: 2.8014e-06, max values: 41.24, median values: 0.26419, and quantile values: 0.25 0.070397\n0.50 0.264190\n0.75 0.963035\nName: 2712, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3994904503251573, std values: 4.734288800997831, min values: 1.4969e-06, max values: 39.363, median values: 0.22486, and quantile values: 0.25 0.057141\n0.50 0.224860\n0.75 0.857265\nName: 2713, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.462739110401258, std values: 5.087026147791637, min values: 1.5689e-06, max values: 42.357, median values: 0.20975, and quantile values: 0.25 0.05580\n0.50 0.20975\n0.75 0.80711\nName: 2714, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2523051005738741, std values: 4.6606364445327095, min values: 2.0186e-08, max values: 37.277, median values: 0.15563, and quantile values: 0.25 0.045278\n0.50 0.155630\n0.75 0.652530\nName: 2715, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5260527064094342, std values: 4.894154350069144, min values: 1.9375e-06, max values: 39.805, median values: 0.23933, and quantile values: 0.25 0.069490\n0.50 0.239330\n0.75 0.979295\nName: 2716, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.707841361684277, std values: 5.1680485096391875, min values: 3.386e-06, max values: 41.399, median values: 0.29042, and quantile values: 0.25 0.088513\n0.50 0.290420\n0.75 1.179000\nName: 2717, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4024131227506917, std values: 4.85178303944869, min values: 4.7646e-07, max values: 40.304, median values: 0.19383, and quantile values: 0.25 0.056754\n0.50 0.193830\n0.75 0.797845\nName: 2718, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4757283321682388, std values: 4.810040644753613, min values: 4.9965e-07, max values: 38.312, median values: 0.22841, and quantile values: 0.25 0.061193\n0.50 0.228410\n0.75 0.878040\nName: 2719, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6607323451119498, std values: 5.1516614176636395, min values: 1.9192e-06, max values: 42.162, median values: 0.26187, and quantile values: 0.25 0.074941\n0.50 0.261870\n0.75 1.077650\nName: 2720, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4901151863163522, std values: 5.01033916519383, min values: 3.4883e-06, max values: 40.289, median values: 0.23843, and quantile values: 0.25 0.065623\n0.50 0.238430\n0.75 0.871765\nName: 2721, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4573411993666667, std values: 4.95250290626395, min values: 1.3022e-06, max values: 39.761, median values: 0.21444, and quantile values: 0.25 0.062109\n0.50 0.214440\n0.75 0.862755\nName: 2722, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4706579364113206, std values: 5.3103075716105, min values: 4.9283e-06, max values: 43.349, median values: 0.20428, and quantile values: 0.25 0.058266\n0.50 0.204280\n0.75 0.649060\nName: 2723, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5663849769396225, std values: 4.94454775476374, min values: 1.0415e-06, max values: 39.65, median values: 0.26375, and quantile values: 0.25 0.066818\n0.50 0.263750\n0.75 0.997465\nName: 2724, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4359769418110755, std values: 4.806646888896831, min values: 2.1981e-08, max values: 39.1, median values: 0.21076, and quantile values: 0.25 0.047074\n0.50 0.210760\n0.75 0.881475\nName: 2725, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5125528776568553, std values: 4.9951026350069565, min values: 8.3924e-07, max values: 41.081, median values: 0.24485, and quantile values: 0.25 0.072603\n0.50 0.244850\n0.75 0.956880\nName: 2726, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.381255781755346, std values: 4.791973845313128, min values: 6.764e-07, max values: 38.281, median values: 0.19993, and quantile values: 0.25 0.062029\n0.50 0.199930\n0.75 0.844705\nName: 2727, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7655835110886793, std values: 5.1832019077405205, min values: 7.3041e-06, max values: 41.046, median values: 0.30126, and quantile values: 0.25 0.085687\n0.50 0.301260\n0.75 1.080950\nName: 2728, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7349140733234591, std values: 5.130385565320367, min values: 5.5643e-07, max values: 41.662, median values: 0.32058, and quantile values: 0.25 0.07989\n0.50 0.32058\n0.75 1.15890\nName: 2729, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.283264306711868, std values: 4.710139401304758, min values: 2.0287e-08, max values: 37.841, median values: 0.15837, and quantile values: 0.25 0.045287\n0.50 0.158370\n0.75 0.718510\nName: 2730, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.497763665561887, std values: 4.9187964870847365, min values: 2.1604e-07, max values: 40.17, median values: 0.20657, and quantile values: 0.25 0.050662\n0.50 0.206570\n0.75 0.885660\nName: 2731, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3309637174506919, std values: 4.764005224262202, min values: 8.5956e-07, max values: 38.504, median values: 0.19705, and quantile values: 0.25 0.059099\n0.50 0.197050\n0.75 0.776405\nName: 2732, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5695847197913209, std values: 4.840866228307054, min values: 5.2732e-07, max values: 38.195, median values: 0.25239, and quantile values: 0.25 0.063663\n0.50 0.252390\n0.75 1.080550\nName: 2733, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3972655305009811, std values: 4.793355108578636, min values: 2.2936e-08, max values: 39.358, median values: 0.19083, and quantile values: 0.25 0.043519\n0.50 0.190830\n0.75 0.757695\nName: 2734, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4975737558602455, std values: 4.912094124315658, min values: 2.1179e-08, max values: 40.09, median values: 0.2094, and quantile values: 0.25 0.051217\n0.50 0.209400\n0.75 0.958625\nName: 2735, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3889118055421381, std values: 4.750701279484421, min values: 2.09e-08, max values: 38.148, median values: 0.17314, and quantile values: 0.25 0.05265\n0.50 0.17314\n0.75 0.79056\nName: 2736, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4919099622389937, std values: 5.054713984129969, min values: 1.317e-06, max values: 40.155, median values: 0.20905, and quantile values: 0.25 0.061499\n0.50 0.209050\n0.75 0.775730\nName: 2737, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5237468710446542, std values: 5.098007851938969, min values: 2.5397e-06, max values: 41.772, median values: 0.21813, and quantile values: 0.25 0.062198\n0.50 0.218130\n0.75 0.883295\nName: 2738, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3911067141226414, std values: 4.865780578104718, min values: 2.9538e-06, max values: 39.673, median values: 0.18169, and quantile values: 0.25 0.057470\n0.50 0.181690\n0.75 0.763835\nName: 2739, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5134629862402518, std values: 4.808324160127295, min values: 2.8984e-06, max values: 39.336, median values: 0.27039, and quantile values: 0.25 0.066604\n0.50 0.270390\n0.75 0.926805\nName: 2740, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4949632629559746, std values: 5.058795533430512, min values: 2.2502e-06, max values: 41.476, median values: 0.21597, and quantile values: 0.25 0.059752\n0.50 0.215970\n0.75 0.895450\nName: 2741, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3302309641102514, std values: 4.924249910719914, min values: 6.0253e-07, max values: 40.795, median values: 0.16874, and quantile values: 0.25 0.046687\n0.50 0.168740\n0.75 0.739950\nName: 2742, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3129686864856607, std values: 4.6003099243852335, min values: 8.1602e-07, max values: 38.433, median values: 0.16424, and quantile values: 0.25 0.048481\n0.50 0.164240\n0.75 0.769030\nName: 2743, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5097048897311947, std values: 5.176134590860448, min values: 6.9016e-07, max values: 45.25, median values: 0.22995, and quantile values: 0.25 0.05692\n0.50 0.22995\n0.75 0.84974\nName: 2744, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5050018355955976, std values: 5.195212869286248, min values: 4.2624e-06, max values: 42.838, median values: 0.21188, and quantile values: 0.25 0.061384\n0.50 0.211880\n0.75 0.863140\nName: 2745, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2994117160212577, std values: 4.763480997695311, min values: 2.3068e-07, max values: 38.534, median values: 0.18441, and quantile values: 0.25 0.049917\n0.50 0.184410\n0.75 0.723180\nName: 2746, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3550944064043398, std values: 4.889129982581587, min values: 9.6659e-07, max values: 39.68, median values: 0.19477, and quantile values: 0.25 0.056788\n0.50 0.194770\n0.75 0.731970\nName: 2747, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6264597565295598, std values: 5.133981622432549, min values: 3.405e-06, max values: 40.682, median values: 0.24693, and quantile values: 0.25 0.075817\n0.50 0.246930\n0.75 1.018900\nName: 2748, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2647870533855348, std values: 4.568760588114397, min values: 7.529e-07, max values: 37.493, median values: 0.18331, and quantile values: 0.25 0.056607\n0.50 0.183310\n0.75 0.725975\nName: 2749, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5122793216333335, std values: 5.003122197684281, min values: 4.5752e-06, max values: 39.994, median values: 0.23184, and quantile values: 0.25 0.071369\n0.50 0.231840\n0.75 0.831265\nName: 2750, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7064691645603773, std values: 5.025838938458646, min values: 1.3038e-06, max values: 39.461, median values: 0.24726, and quantile values: 0.25 0.078796\n0.50 0.247260\n0.75 1.175950\nName: 2751, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4803525202132075, std values: 4.985730919504107, min values: 1.7053e-06, max values: 40.123, median values: 0.19976, and quantile values: 0.25 0.05960\n0.50 0.19976\n0.75 0.88976\nName: 2752, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.516446035921824, std values: 4.923000769285931, min values: 9.0087e-07, max values: 39.585, median values: 0.20362, and quantile values: 0.25 0.064034\n0.50 0.203620\n0.75 0.904740\nName: 2753, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2916521239709433, std values: 4.696527394672859, min values: 7.3088e-07, max values: 37.75, median values: 0.15918, and quantile values: 0.25 0.049914\n0.50 0.159180\n0.75 0.677030\nName: 2754, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1706954975630819, std values: 4.4271544982253275, min values: 2.5713e-07, max values: 35.734, median values: 0.11909, and quantile values: 0.25 0.029781\n0.50 0.119090\n0.75 0.519085\nName: 2755, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4037428406761008, std values: 4.969506908369925, min values: 4.1784e-06, max values: 40.353, median values: 0.19611, and quantile values: 0.25 0.061883\n0.50 0.196110\n0.75 0.754830\nName: 2756, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3568825283510693, std values: 4.599346246796403, min values: 3.4332e-07, max values: 37.706, median values: 0.19461, and quantile values: 0.25 0.051138\n0.50 0.194610\n0.75 0.857605\nName: 2757, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4897376767817607, std values: 4.814488702130654, min values: 1.1572e-06, max values: 38.187, median values: 0.24278, and quantile values: 0.25 0.06466\n0.50 0.24278\n0.75 0.91606\nName: 2758, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3884354638559746, std values: 4.732473475743232, min values: 4.466e-07, max values: 37.616, median values: 0.2136, and quantile values: 0.25 0.057603\n0.50 0.213600\n0.75 0.838615\nName: 2759, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4842327730506917, std values: 5.09151575373042, min values: 2.3796e-07, max values: 44.449, median values: 0.20826, and quantile values: 0.25 0.052946\n0.50 0.208260\n0.75 0.935245\nName: 2760, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.306459085500717, std values: 4.779881046915302, min values: 2.0354e-08, max values: 39.395, median values: 0.15505, and quantile values: 0.25 0.042721\n0.50 0.155050\n0.75 0.711695\nName: 2761, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3860702377667296, std values: 5.011320323793502, min values: 8.9441e-07, max values: 42.773, median values: 0.21722, and quantile values: 0.25 0.060685\n0.50 0.217220\n0.75 0.704530\nName: 2762, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8856064322251571, std values: 5.343628578111882, min values: 5.1208e-06, max values: 41.138, median values: 0.31656, and quantile values: 0.25 0.088206\n0.50 0.316560\n0.75 1.228300\nName: 2763, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.463290810674717, std values: 4.797732199960113, min values: 4.7508e-07, max values: 38.192, median values: 0.21234, and quantile values: 0.25 0.059068\n0.50 0.212340\n0.75 0.846875\nName: 2764, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4131918654993711, std values: 4.832784716951906, min values: 1.3677e-06, max values: 39.569, median values: 0.19549, and quantile values: 0.25 0.059598\n0.50 0.195490\n0.75 0.843155\nName: 2765, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5757892709886794, std values: 5.077623681548101, min values: 1.4124e-06, max values: 41.578, median values: 0.22336, and quantile values: 0.25 0.069498\n0.50 0.223360\n0.75 0.955480\nName: 2766, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4052301489959749, std values: 4.916904674030889, min values: 2.1706e-07, max values: 40.755, median values: 0.18729, and quantile values: 0.25 0.053492\n0.50 0.187290\n0.75 0.775040\nName: 2767, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4545418591360375, std values: 4.852764773221825, min values: 2.1173e-07, max values: 39.334, median values: 0.21882, and quantile values: 0.25 0.062193\n0.50 0.218820\n0.75 0.920980\nName: 2768, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.630923158916352, std values: 5.040234145198845, min values: 1.5488e-06, max values: 40.969, median values: 0.26545, and quantile values: 0.25 0.074902\n0.50 0.265450\n0.75 1.109600\nName: 2769, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4850947860220125, std values: 5.123665764209509, min values: 2.2264e-06, max values: 42.612, median values: 0.2112, and quantile values: 0.25 0.061261\n0.50 0.211200\n0.75 0.902420\nName: 2770, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3589521496874213, std values: 4.625420957693384, min values: 3.4922e-06, max values: 40.264, median values: 0.20083, and quantile values: 0.25 0.064288\n0.50 0.200830\n0.75 0.779425\nName: 2771, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6138451975308177, std values: 5.018817481106517, min values: 1.8432e-06, max values: 40.181, median values: 0.29455, and quantile values: 0.25 0.072389\n0.50 0.294550\n0.75 1.002930\nName: 2772, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.457661021681132, std values: 5.108650020980666, min values: 2.4135e-06, max values: 43.373, median values: 0.20727, and quantile values: 0.25 0.066938\n0.50 0.207270\n0.75 0.855550\nName: 2773, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4851050362144653, std values: 4.928445887447598, min values: 3.7286e-06, max values: 40.118, median values: 0.23849, and quantile values: 0.25 0.063732\n0.50 0.238490\n0.75 0.809750\nName: 2774, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1753197439122014, std values: 4.6047117784518505, min values: 3.8434e-07, max values: 37.202, median values: 0.12324, and quantile values: 0.25 0.040003\n0.50 0.123240\n0.75 0.586605\nName: 2775, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4551000200779873, std values: 5.0116151126874495, min values: 3.0536e-06, max values: 40.42, median values: 0.24537, and quantile values: 0.25 0.06122\n0.50 0.24537\n0.75 0.86424\nName: 2776, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6933047695257861, std values: 5.081818250807194, min values: 1.4854e-06, max values: 40.508, median values: 0.27107, and quantile values: 0.25 0.084085\n0.50 0.271070\n0.75 1.128000\nName: 2777, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3823955698446542, std values: 4.766181912779261, min values: 2.053e-06, max values: 39.166, median values: 0.20745, and quantile values: 0.25 0.063677\n0.50 0.207450\n0.75 0.814335\nName: 2778, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.542166333919497, std values: 4.852108432307902, min values: 2.8303e-06, max values: 39.297, median values: 0.27689, and quantile values: 0.25 0.073422\n0.50 0.276890\n0.75 0.959585\nName: 2779, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.574428471336478, std values: 5.038927944622371, min values: 3.3625e-06, max values: 39.976, median values: 0.24189, and quantile values: 0.25 0.071183\n0.50 0.241890\n0.75 0.957225\nName: 2780, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3070008023170312, std values: 4.7433983380625975, min values: 4.0608e-08, max values: 38.117, median values: 0.16289, and quantile values: 0.25 0.042967\n0.50 0.162890\n0.75 0.695620\nName: 2781, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6050739058062893, std values: 4.9784452777522645, min values: 3.5759e-06, max values: 39.788, median values: 0.28288, and quantile values: 0.25 0.079963\n0.50 0.282880\n0.75 0.943760\nName: 2782, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6712337630125784, std values: 5.1419288058681225, min values: 2.117e-06, max values: 41.827, median values: 0.28024, and quantile values: 0.25 0.079606\n0.50 0.280240\n0.75 1.110050\nName: 2783, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.191047021257107, std values: 4.417182034468145, min values: 5.5788e-07, max values: 37.489, median values: 0.16189, and quantile values: 0.25 0.048676\n0.50 0.161890\n0.75 0.622710\nName: 2784, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7437438184421383, std values: 5.274236791978033, min values: 2.5926e-06, max values: 44.032, median values: 0.31169, and quantile values: 0.25 0.090724\n0.50 0.311690\n0.75 1.223350\nName: 2785, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4342516176339624, std values: 4.914112138130141, min values: 2.7917e-06, max values: 40.019, median values: 0.22183, and quantile values: 0.25 0.061796\n0.50 0.221830\n0.75 0.802010\nName: 2786, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4547630223452828, std values: 4.723013761536704, min values: 1.558e-06, max values: 38.391, median values: 0.24134, and quantile values: 0.25 0.070653\n0.50 0.241340\n0.75 0.934755\nName: 2787, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7224970470767296, std values: 4.982358867395161, min values: 2.2075e-06, max values: 39.207, median values: 0.29352, and quantile values: 0.25 0.091284\n0.50 0.293520\n0.75 1.203000\nName: 2788, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.810037158755975, std values: 5.361655079275061, min values: 6.6472e-06, max values: 41.527, median values: 0.30499, and quantile values: 0.25 0.079575\n0.50 0.304990\n0.75 1.111150\nName: 2789, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.218855593154868, std values: 4.3917040486742165, min values: 5.8294e-08, max values: 35.931, median values: 0.15065, and quantile values: 0.25 0.043448\n0.50 0.150650\n0.75 0.613075\nName: 2790, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4074703714113206, std values: 5.020784014102284, min values: 1.5283e-06, max values: 41.731, median values: 0.19905, and quantile values: 0.25 0.053908\n0.50 0.199050\n0.75 0.770670\nName: 2791, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5092467772974214, std values: 4.790734072925001, min values: 8.6989e-07, max values: 37.709, median values: 0.26942, and quantile values: 0.25 0.066385\n0.50 0.269420\n0.75 0.942335\nName: 2792, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.685989530581132, std values: 5.102553356687067, min values: 3.5267e-06, max values: 39.968, median values: 0.28164, and quantile values: 0.25 0.084353\n0.50 0.281640\n0.75 1.110900\nName: 2793, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3187215321264907, std values: 4.585021846360812, min values: 3.2142e-08, max values: 36.818, median values: 0.19643, and quantile values: 0.25 0.042855\n0.50 0.196430\n0.75 0.782840\nName: 2794, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2876168463075472, std values: 4.973735240392828, min values: 3.0682e-06, max values: 40.349, median values: 0.16189, and quantile values: 0.25 0.047304\n0.50 0.161890\n0.75 0.582815\nName: 2795, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3788486634767925, std values: 4.6856133789153445, min values: 2.2961e-07, max values: 36.904, median values: 0.18672, and quantile values: 0.25 0.042332\n0.50 0.186720\n0.75 0.765635\nName: 2796, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.304367139153459, std values: 4.778529228421101, min values: 2.4052e-06, max values: 39.836, median values: 0.16158, and quantile values: 0.25 0.049925\n0.50 0.161580\n0.75 0.656095\nName: 2797, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.488103202628302, std values: 4.958553521715761, min values: 1.6243e-06, max values: 39.893, median values: 0.21568, and quantile values: 0.25 0.066671\n0.50 0.215680\n0.75 0.878495\nName: 2798, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5331927151769185, std values: 4.778883787137673, min values: 4.4223e-07, max values: 37.41, median values: 0.18639, and quantile values: 0.25 0.053308\n0.50 0.186390\n0.75 0.900335\nName: 2799, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4141110765056604, std values: 4.777825175416218, min values: 4.3528e-06, max values: 40.033, median values: 0.19813, and quantile values: 0.25 0.06759\n0.50 0.19813\n0.75 0.78923\nName: 2800, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5076625408779876, std values: 4.911869445832581, min values: 1.6705e-06, max values: 39.011, median values: 0.22968, and quantile values: 0.25 0.066201\n0.50 0.229680\n0.75 0.964510\nName: 2801, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6374978278288053, std values: 5.056921172515512, min values: 4.5428e-07, max values: 41.758, median values: 0.26777, and quantile values: 0.25 0.072645\n0.50 0.267770\n0.75 1.111700\nName: 2802, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5037999258207548, std values: 5.147422752363648, min values: 1.342e-06, max values: 44.101, median values: 0.19641, and quantile values: 0.25 0.059459\n0.50 0.196410\n0.75 0.910000\nName: 2803, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4895773679295599, std values: 5.005541293737613, min values: 6.472e-07, max values: 42.111, median values: 0.22361, and quantile values: 0.25 0.064542\n0.50 0.223610\n0.75 0.921305\nName: 2804, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.237435557116981, std values: 4.600562964467261, min values: 1.0906e-06, max values: 38.036, median values: 0.14847, and quantile values: 0.25 0.053179\n0.50 0.148470\n0.75 0.626135\nName: 2805, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.569939134472956, std values: 4.896112578414928, min values: 2.6512e-06, max values: 38.949, median values: 0.24369, and quantile values: 0.25 0.067524\n0.50 0.243690\n0.75 1.038950\nName: 2806, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4426536792603772, std values: 4.9677256028137275, min values: 2.006e-06, max values: 40.392, median values: 0.23172, and quantile values: 0.25 0.05555\n0.50 0.23172\n0.75 0.84181\nName: 2807, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6107308589176101, std values: 4.926050949229306, min values: 2.7575e-06, max values: 39.684, median values: 0.26064, and quantile values: 0.25 0.072381\n0.50 0.260640\n0.75 1.045150\nName: 2808, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6975665749837736, std values: 4.811968433442324, min values: 4.2922e-07, max values: 38.455, median values: 0.28946, and quantile values: 0.25 0.072687\n0.50 0.289460\n0.75 1.253450\nName: 2809, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2606306710125785, std values: 4.708977152945049, min values: 1.3952e-06, max values: 38.902, median values: 0.17775, and quantile values: 0.25 0.051077\n0.50 0.177750\n0.75 0.661960\nName: 2810, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5301288583805033, std values: 4.867197537719205, min values: 1.672e-06, max values: 39.17, median values: 0.21728, and quantile values: 0.25 0.060586\n0.50 0.217280\n0.75 0.998145\nName: 2811, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2582592105348553, std values: 4.510214681342968, min values: 0.0, max values: 36.073, median values: 0.12652, and quantile values: 0.25 0.031425\n0.50 0.126520\n0.75 0.648640\nName: 2812, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5940654907616352, std values: 5.211079756969628, min values: 3.0051e-06, max values: 42.645, median values: 0.25492, and quantile values: 0.25 0.076968\n0.50 0.254920\n0.75 0.914450\nName: 2813, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5707986053553458, std values: 5.012724904248695, min values: 1.1325e-06, max values: 40.333, median values: 0.27051, and quantile values: 0.25 0.071165\n0.50 0.270510\n0.75 0.973685\nName: 2814, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6275637179610063, std values: 5.217353416796394, min values: 2.7314e-06, max values: 43.449, median values: 0.28172, and quantile values: 0.25 0.075423\n0.50 0.281720\n0.75 1.017965\nName: 2815, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4790798186528302, std values: 5.021365984656387, min values: 1.9601e-06, max values: 41.059, median values: 0.20244, and quantile values: 0.25 0.059062\n0.50 0.202440\n0.75 0.875625\nName: 2816, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2558109845740881, std values: 4.598070297330722, min values: 7.3238e-07, max values: 37.921, median values: 0.15932, and quantile values: 0.25 0.050911\n0.50 0.159320\n0.75 0.707580\nName: 2817, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5483326675113207, std values: 4.82060710760046, min values: 1.2211e-06, max values: 37.695, median values: 0.24642, and quantile values: 0.25 0.070660\n0.50 0.246420\n0.75 0.930985\nName: 2818, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4279928517194969, std values: 5.162576650258022, min values: 1.2758e-06, max values: 44.443, median values: 0.20773, and quantile values: 0.25 0.056159\n0.50 0.207730\n0.75 0.835735\nName: 2819, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5456164575100628, std values: 4.760374704063389, min values: 9.26e-07, max values: 38.112, median values: 0.25551, and quantile values: 0.25 0.066466\n0.50 0.255510\n0.75 0.994725\nName: 2820, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5098552685761004, std values: 5.132897770054591, min values: 3.7665e-06, max values: 41.68, median values: 0.2459, and quantile values: 0.25 0.073254\n0.50 0.245900\n0.75 0.813055\nName: 2821, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4911404374534594, std values: 4.7448378576921435, min values: 4.966e-07, max values: 37.664, median values: 0.21961, and quantile values: 0.25 0.052143\n0.50 0.219610\n0.75 0.908975\nName: 2822, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7585598896694337, std values: 5.34524861856275, min values: 7.7774e-07, max values: 46.339, median values: 0.32079, and quantile values: 0.25 0.08321\n0.50 0.32079\n0.75 1.13210\nName: 2823, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5662227471880503, std values: 5.062752104192098, min values: 1.8784e-06, max values: 41.534, median values: 0.27471, and quantile values: 0.25 0.065734\n0.50 0.274710\n0.75 0.967425\nName: 2824, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3830398964244026, std values: 4.6030611086403965, min values: 8.5218e-07, max values: 38.556, median values: 0.18399, and quantile values: 0.25 0.058824\n0.50 0.183990\n0.75 0.846195\nName: 2825, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5923598633943394, std values: 5.09324443273132, min values: 3.676e-06, max values: 40.368, median values: 0.23691, and quantile values: 0.25 0.069550\n0.50 0.236910\n0.75 0.946385\nName: 2826, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4688279265257862, std values: 5.175581551287213, min values: 1.2255e-06, max values: 44.838, median values: 0.17334, and quantile values: 0.25 0.053477\n0.50 0.173340\n0.75 0.747875\nName: 2827, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.1445880288389936, std values: 6.0333488264185515, min values: 1.7896e-06, max values: 54.469, median values: 0.40031, and quantile values: 0.25 0.097731\n0.50 0.400310\n0.75 1.551950\nName: 2828, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4750116604893082, std values: 4.771056067418512, min values: 2.2328e-06, max values: 39.499, median values: 0.24366, and quantile values: 0.25 0.064420\n0.50 0.243660\n0.75 0.935025\nName: 2829, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.301897109698113, std values: 4.847189646519445, min values: 1.5183e-06, max values: 39.235, median values: 0.17259, and quantile values: 0.25 0.051925\n0.50 0.172590\n0.75 0.686840\nName: 2830, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6451178285883021, std values: 4.915903208690097, min values: 9.1974e-07, max values: 38.296, median values: 0.28424, and quantile values: 0.25 0.074027\n0.50 0.284240\n0.75 1.137150\nName: 2831, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5157986933842766, std values: 4.944519397171106, min values: 1.1868e-06, max values: 39.455, median values: 0.23442, and quantile values: 0.25 0.067843\n0.50 0.234420\n0.75 0.972870\nName: 2832, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3544467235572455, std values: 4.71978758084271, min values: 7.5202e-08, max values: 37.734, median values: 0.1826, and quantile values: 0.25 0.044824\n0.50 0.182600\n0.75 0.730265\nName: 2833, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4239009710968427, std values: 4.657045438455253, min values: 3.0708e-08, max values: 36.656, median values: 0.2247, and quantile values: 0.25 0.048889\n0.50 0.224700\n0.75 0.875210\nName: 2834, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5380891823025158, std values: 5.018167644300342, min values: 2.592e-07, max values: 41.872, median values: 0.22289, and quantile values: 0.25 0.063896\n0.50 0.222890\n0.75 0.955475\nName: 2835, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5303793265408805, std values: 4.953722074438579, min values: 1.9285e-06, max values: 39.265, median values: 0.23864, and quantile values: 0.25 0.066824\n0.50 0.238640\n0.75 0.961645\nName: 2836, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5829593973842766, std values: 4.983089758301841, min values: 1.3498e-06, max values: 39.4, median values: 0.2481, and quantile values: 0.25 0.072369\n0.50 0.248100\n0.75 1.091900\nName: 2837, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6951549106207546, std values: 5.009473531822946, min values: 1.7401e-06, max values: 39.298, median values: 0.28926, and quantile values: 0.25 0.07977\n0.50 0.28926\n0.75 1.16305\nName: 2838, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5660823908389938, std values: 5.237962245725587, min values: 1.1263e-06, max values: 44.926, median values: 0.21938, and quantile values: 0.25 0.065165\n0.50 0.219380\n0.75 0.983875\nName: 2839, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1853488431838366, std values: 4.4620160091409105, min values: 9.8853e-07, max values: 37.037, median values: 0.1411, and quantile values: 0.25 0.040192\n0.50 0.141100\n0.75 0.519590\nName: 2840, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5729788219666665, std values: 4.996013912240622, min values: 4.195e-06, max values: 39.666, median values: 0.25486, and quantile values: 0.25 0.074327\n0.50 0.254860\n0.75 1.003860\nName: 2841, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4510171242259118, std values: 4.947951396260088, min values: 5.1142e-07, max values: 40.998, median values: 0.20387, and quantile values: 0.25 0.058323\n0.50 0.203870\n0.75 0.789890\nName: 2842, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.478143063388176, std values: 4.946390735821242, min values: 3.1432e-07, max values: 41.574, median values: 0.24942, and quantile values: 0.25 0.063613\n0.50 0.249420\n0.75 0.910290\nName: 2843, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1850779283136479, std values: 4.568047230297812, min values: 7.7867e-07, max values: 37.759, median values: 0.12669, and quantile values: 0.25 0.035685\n0.50 0.126690\n0.75 0.539880\nName: 2844, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8439396611075471, std values: 5.479291318045906, min values: 3.4104e-06, max values: 46.204, median values: 0.31034, and quantile values: 0.25 0.090687\n0.50 0.310340\n0.75 1.338100\nName: 2845, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4050383697912578, std values: 4.862459693490642, min values: 7.1261e-07, max values: 39.94, median values: 0.2242, and quantile values: 0.25 0.054484\n0.50 0.224200\n0.75 0.823185\nName: 2846, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3915913781462264, std values: 4.701645635480679, min values: 2.602e-08, max values: 37.836, median values: 0.17698, and quantile values: 0.25 0.039264\n0.50 0.176980\n0.75 0.907870\nName: 2847, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4596006373691826, std values: 4.900271752986795, min values: 1.6521e-06, max values: 39.176, median values: 0.21459, and quantile values: 0.25 0.065701\n0.50 0.214590\n0.75 0.859825\nName: 2848, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.930157415099371, std values: 5.358888908596475, min values: 5.9318e-06, max values: 40.565, median values: 0.36444, and quantile values: 0.25 0.109845\n0.50 0.364440\n0.75 1.332650\nName: 2849, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5499872883062893, std values: 4.88241708350588, min values: 2.2361e-06, max values: 39.403, median values: 0.26209, and quantile values: 0.25 0.074838\n0.50 0.262090\n0.75 1.087800\nName: 2850, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4728067725232703, std values: 4.801668135564757, min values: 1.1207e-06, max values: 38.718, median values: 0.22392, and quantile values: 0.25 0.063114\n0.50 0.223920\n0.75 0.940090\nName: 2851, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4440536588578616, std values: 4.896428689259125, min values: 1.8197e-06, max values: 39.074, median values: 0.2262, and quantile values: 0.25 0.057459\n0.50 0.226200\n0.75 0.844865\nName: 2852, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.449842307398742, std values: 5.085547119679512, min values: 2.0808e-06, max values: 42.843, median values: 0.20402, and quantile values: 0.25 0.063845\n0.50 0.204020\n0.75 0.869100\nName: 2853, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5427036728257861, std values: 4.967263314645788, min values: 1.0084e-06, max values: 40.262, median values: 0.27762, and quantile values: 0.25 0.066887\n0.50 0.277620\n0.75 1.032650\nName: 2854, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.500859457335604, std values: 4.903833773632932, min values: 5.7411e-08, max values: 40.316, median values: 0.2189, and quantile values: 0.25 0.048877\n0.50 0.218900\n0.75 0.931785\nName: 2855, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3703126911446544, std values: 4.68239937809658, min values: 1.9457e-06, max values: 38.93, median values: 0.21325, and quantile values: 0.25 0.062132\n0.50 0.213250\n0.75 0.880220\nName: 2856, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3722627131108993, std values: 4.936519997280759, min values: 2.5723e-08, max values: 42.888, median values: 0.19443, and quantile values: 0.25 0.037783\n0.50 0.194430\n0.75 0.755100\nName: 2857, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.770212411679874, std values: 5.491120290017341, min values: 2.3005e-06, max values: 47.993, median values: 0.27647, and quantile values: 0.25 0.078942\n0.50 0.276470\n0.75 1.196250\nName: 2858, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5008420351347547, std values: 4.771120299252828, min values: 2.8923e-08, max values: 38.411, median values: 0.20484, and quantile values: 0.25 0.043138\n0.50 0.204840\n0.75 0.965305\nName: 2859, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6787076769714149, std values: 5.075205294181699, min values: 2.5755e-08, max values: 42.194, median values: 0.26475, and quantile values: 0.25 0.075343\n0.50 0.264750\n0.75 1.219650\nName: 2860, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5698462232012578, std values: 5.058675302128003, min values: 3.7988e-06, max values: 39.993, median values: 0.25402, and quantile values: 0.25 0.073695\n0.50 0.254020\n0.75 0.925250\nName: 2861, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3039715053421383, std values: 4.557951337153727, min values: 1.0683e-06, max values: 38.575, median values: 0.19875, and quantile values: 0.25 0.061958\n0.50 0.198750\n0.75 0.731125\nName: 2862, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3007436477616352, std values: 4.845882765717968, min values: 3.155e-07, max values: 40.552, median values: 0.17504, and quantile values: 0.25 0.046305\n0.50 0.175040\n0.75 0.693815\nName: 2863, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3090513554929621, std values: 4.679133882152423, min values: 2.3312e-08, max values: 38.332, median values: 0.14759, and quantile values: 0.25 0.032864\n0.50 0.147590\n0.75 0.643875\nName: 2864, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.463549302072113, std values: 4.984297124448275, min values: 1.9801e-08, max values: 43.19, median values: 0.19187, and quantile values: 0.25 0.041219\n0.50 0.191870\n0.75 0.768175\nName: 2865, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4300273266202705, std values: 5.002102402544264, min values: 1.7123e-08, max values: 42.411, median values: 0.18961, and quantile values: 0.25 0.050806\n0.50 0.189610\n0.75 0.825340\nName: 2866, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3668853479081762, std values: 4.83331534879663, min values: 1.4662e-06, max values: 39.197, median values: 0.21564, and quantile values: 0.25 0.065879\n0.50 0.215640\n0.75 0.774010\nName: 2867, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8026669957044026, std values: 5.140595613416386, min values: 8.083e-06, max values: 41.591, median values: 0.29985, and quantile values: 0.25 0.075512\n0.50 0.299850\n0.75 1.137200\nName: 2868, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9144817924974844, std values: 5.431441362843661, min values: 7.0101e-06, max values: 41.881, median values: 0.3253, and quantile values: 0.25 0.090348\n0.50 0.325300\n0.75 1.245050\nName: 2869, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5074253393264154, std values: 4.878470593188283, min values: 1.4395e-06, max values: 38.645, median values: 0.24667, and quantile values: 0.25 0.069585\n0.50 0.246670\n0.75 0.941330\nName: 2870, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.841936448662893, std values: 5.487976537363548, min values: 5.1625e-06, max values: 45.151, median values: 0.32371, and quantile values: 0.25 0.098711\n0.50 0.323710\n0.75 1.172400\nName: 2871, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4881476302685535, std values: 5.102109706700728, min values: 1.0459e-06, max values: 43.505, median values: 0.23238, and quantile values: 0.25 0.061204\n0.50 0.232380\n0.75 0.850470\nName: 2872, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2396942443063395, std values: 4.578174983661275, min values: 1.8058e-08, max values: 37.068, median values: 0.14813, and quantile values: 0.25 0.035558\n0.50 0.148130\n0.75 0.653695\nName: 2873, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2378101988, std values: 4.649532660757957, min values: 1.4838e-06, max values: 38.594, median values: 0.15834, and quantile values: 0.25 0.050466\n0.50 0.158340\n0.75 0.684765\nName: 2874, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3281180439045912, std values: 5.003661318337025, min values: 4.3493e-07, max values: 43.823, median values: 0.15883, and quantile values: 0.25 0.047315\n0.50 0.158830\n0.75 0.676390\nName: 2875, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3456630291220126, std values: 5.1064562564625735, min values: 1.2415e-06, max values: 44.045, median values: 0.16549, and quantile values: 0.25 0.05401\n0.50 0.16549\n0.75 0.72938\nName: 2876, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5160682365308176, std values: 5.116049462552662, min values: 3.1701e-06, max values: 41.282, median values: 0.23646, and quantile values: 0.25 0.065561\n0.50 0.236460\n0.75 0.867150\nName: 2877, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4083964064208174, std values: 4.874203494091349, min values: 7.3001e-07, max values: 40.054, median values: 0.17969, and quantile values: 0.25 0.058765\n0.50 0.179690\n0.75 0.828850\nName: 2878, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4242175978018867, std values: 5.016244368501271, min values: 2.8693e-06, max values: 40.172, median values: 0.20511, and quantile values: 0.25 0.058214\n0.50 0.205110\n0.75 0.754400\nName: 2879, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4010125742997483, std values: 4.727294071453029, min values: 3.2875e-07, max values: 37.536, median values: 0.18798, and quantile values: 0.25 0.049101\n0.50 0.187980\n0.75 0.775880\nName: 2880, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3663675990622643, std values: 4.638237023413266, min values: 2.7851e-06, max values: 39.328, median values: 0.20135, and quantile values: 0.25 0.062363\n0.50 0.201350\n0.75 0.777120\nName: 2881, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4923758483509435, std values: 4.970957782832963, min values: 2.62e-06, max values: 40.86, median values: 0.2254, and quantile values: 0.25 0.06589\n0.50 0.22540\n0.75 0.88837\nName: 2882, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.744730728316352, std values: 5.347417330716829, min values: 4.8075e-06, max values: 42.08, median values: 0.28497, and quantile values: 0.25 0.069463\n0.50 0.284970\n0.75 1.034950\nName: 2883, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5463122862960377, std values: 5.089811735438123, min values: 3.2167e-07, max values: 43.497, median values: 0.24246, and quantile values: 0.25 0.064727\n0.50 0.242460\n0.75 0.939955\nName: 2884, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.346185211215723, std values: 4.701720153552701, min values: 2.2334e-06, max values: 39.705, median values: 0.18726, and quantile values: 0.25 0.052267\n0.50 0.187260\n0.75 0.772330\nName: 2885, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7679030048641509, std values: 5.387670854714485, min values: 5.5974e-06, max values: 42.412, median values: 0.31304, and quantile values: 0.25 0.079611\n0.50 0.313040\n0.75 1.036650\nName: 2886, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3581764949367925, std values: 4.8035527180941, min values: 9.9315e-07, max values: 38.396, median values: 0.19724, and quantile values: 0.25 0.056444\n0.50 0.197240\n0.75 0.769235\nName: 2887, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4595989346905658, std values: 5.010982128579166, min values: 1.7912e-06, max values: 40.908, median values: 0.25311, and quantile values: 0.25 0.069455\n0.50 0.253110\n0.75 0.878515\nName: 2888, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3672609114318235, std values: 4.952419956394178, min values: 2.5966e-07, max values: 41.893, median values: 0.16124, and quantile values: 0.25 0.053981\n0.50 0.161240\n0.75 0.703805\nName: 2889, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.403089420481069, std values: 4.758539634135911, min values: 5.1049e-07, max values: 38.292, median values: 0.21887, and quantile values: 0.25 0.052895\n0.50 0.218870\n0.75 0.822485\nName: 2890, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2525869392493711, std values: 4.710497369581995, min values: 1.8193e-07, max values: 39.105, median values: 0.13678, and quantile values: 0.25 0.032761\n0.50 0.136780\n0.75 0.594160\nName: 2891, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5254304329823898, std values: 5.024537783013125, min values: 1.1982e-06, max values: 41.913, median values: 0.22884, and quantile values: 0.25 0.067603\n0.50 0.228840\n0.75 0.932165\nName: 2892, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6393210121245285, std values: 5.176450415722928, min values: 2.7295e-06, max values: 42.506, median values: 0.27784, and quantile values: 0.25 0.075967\n0.50 0.277840\n0.75 1.061880\nName: 2893, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3736873983006288, std values: 5.0565917460753855, min values: 1.1058e-06, max values: 43.523, median values: 0.20977, and quantile values: 0.25 0.05909\n0.50 0.20977\n0.75 0.71205\nName: 2894, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.636437851478805, std values: 5.139890026601859, min values: 4.4913e-07, max values: 43.428, median values: 0.26698, and quantile values: 0.25 0.065552\n0.50 0.266980\n0.75 1.054950\nName: 2895, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4542961087679247, std values: 5.188945556779018, min values: 2.3368e-06, max values: 43.984, median values: 0.19442, and quantile values: 0.25 0.060971\n0.50 0.194420\n0.75 0.770465\nName: 2896, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9219017306654087, std values: 5.5645124722207155, min values: 4.2146e-06, max values: 46.207, median values: 0.32711, and quantile values: 0.25 0.099272\n0.50 0.327110\n0.75 1.307450\nName: 2897, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4450577875035848, std values: 4.686620471840931, min values: 3.1587e-07, max values: 37.715, median values: 0.21381, and quantile values: 0.25 0.062355\n0.50 0.213810\n0.75 0.940560\nName: 2898, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.415506655749497, std values: 4.8299976943385285, min values: 6.9217e-07, max values: 38.993, median values: 0.18376, and quantile values: 0.25 0.046863\n0.50 0.183760\n0.75 0.898630\nName: 2899, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5629987464364778, std values: 4.948419698393713, min values: 1.441e-06, max values: 39.354, median values: 0.25521, and quantile values: 0.25 0.064894\n0.50 0.255210\n0.75 0.987090\nName: 2900, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.479544134720126, std values: 5.202514947393284, min values: 4.2406e-06, max values: 42.891, median values: 0.23148, and quantile values: 0.25 0.064105\n0.50 0.231480\n0.75 0.746245\nName: 2901, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5698633293597486, std values: 5.1013044156484515, min values: 4.2266e-06, max values: 40.446, median values: 0.25381, and quantile values: 0.25 0.071669\n0.50 0.253810\n0.75 0.927155\nName: 2902, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3239583593354718, std values: 4.764936281396186, min values: 2.1544e-07, max values: 38.566, median values: 0.17366, and quantile values: 0.25 0.055087\n0.50 0.173660\n0.75 0.717250\nName: 2903, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5037218560591195, std values: 4.826529078079452, min values: 2.6155e-06, max values: 39.984, median values: 0.25543, and quantile values: 0.25 0.064743\n0.50 0.255430\n0.75 0.904155\nName: 2904, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3992652062849058, std values: 4.688431389709685, min values: 2.8763e-06, max values: 39.898, median values: 0.21678, and quantile values: 0.25 0.062567\n0.50 0.216780\n0.75 0.798090\nName: 2905, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3654670432224527, std values: 5.010577900964577, min values: 3.8357e-07, max values: 42.882, median values: 0.17605, and quantile values: 0.25 0.047666\n0.50 0.176050\n0.75 0.740885\nName: 2906, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5135894051484275, std values: 4.877971732422123, min values: 1.8868e-06, max values: 38.545, median values: 0.27526, and quantile values: 0.25 0.068447\n0.50 0.275260\n0.75 0.939395\nName: 2907, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4807882288685532, std values: 5.081105044450407, min values: 8.501e-07, max values: 43.062, median values: 0.19696, and quantile values: 0.25 0.057836\n0.50 0.196960\n0.75 0.921130\nName: 2908, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5040534757238995, std values: 5.139008877578244, min values: 1.1092e-06, max values: 44.007, median values: 0.23466, and quantile values: 0.25 0.056376\n0.50 0.234660\n0.75 0.900505\nName: 2909, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5435556164163522, std values: 4.873477587228284, min values: 2.5362e-06, max values: 38.962, median values: 0.25497, and quantile values: 0.25 0.073712\n0.50 0.254970\n0.75 1.012150\nName: 2910, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6378756740138363, std values: 5.235829959819163, min values: 4.0115e-06, max values: 42.137, median values: 0.24635, and quantile values: 0.25 0.077658\n0.50 0.246350\n0.75 0.974585\nName: 2911, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6751061991767295, std values: 4.966317276998643, min values: 1.3708e-06, max values: 38.685, median values: 0.29709, and quantile values: 0.25 0.082632\n0.50 0.297090\n0.75 1.150000\nName: 2912, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3626562182993711, std values: 4.856032565362086, min values: 1.926e-07, max values: 40.855, median values: 0.19474, and quantile values: 0.25 0.056147\n0.50 0.194740\n0.75 0.721635\nName: 2913, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5863222289553458, std values: 4.896703184536505, min values: 1.603e-06, max values: 39.447, median values: 0.24953, and quantile values: 0.25 0.071657\n0.50 0.249530\n0.75 1.032550\nName: 2914, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3232845749610065, std values: 4.881702074561472, min values: 1.3408e-06, max values: 39.219, median values: 0.15496, and quantile values: 0.25 0.047252\n0.50 0.154960\n0.75 0.640300\nName: 2915, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8004344429955974, std values: 5.389512491174604, min values: 1.8059e-06, max values: 45.715, median values: 0.29174, and quantile values: 0.25 0.085227\n0.50 0.291740\n0.75 1.229750\nName: 2916, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5576244996851574, std values: 5.046579387490911, min values: 6.2054e-07, max values: 42.688, median values: 0.22747, and quantile values: 0.25 0.072304\n0.50 0.227470\n0.75 0.961360\nName: 2917, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4839316212815092, std values: 4.92925710706171, min values: 9.6096e-07, max values: 39.571, median values: 0.21211, and quantile values: 0.25 0.063578\n0.50 0.212110\n0.75 0.903765\nName: 2918, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8673348571886792, std values: 5.339689162125341, min values: 1.1761e-06, max values: 44.197, median values: 0.31045, and quantile values: 0.25 0.089401\n0.50 0.310450\n0.75 1.387250\nName: 2919, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.650349210857862, std values: 4.964648345201433, min values: 2.0677e-06, max values: 39.408, median values: 0.2693, and quantile values: 0.25 0.075519\n0.50 0.269300\n0.75 1.133300\nName: 2920, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4401620718074846, std values: 4.790187914565467, min values: 3.8209e-07, max values: 37.971, median values: 0.19239, and quantile values: 0.25 0.056386\n0.50 0.192390\n0.75 0.864640\nName: 2921, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6875018455339623, std values: 4.986178337528387, min values: 1.6803e-06, max values: 38.891, median values: 0.27559, and quantile values: 0.25 0.075004\n0.50 0.275590\n0.75 1.152400\nName: 2922, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4827986675127045, std values: 4.61604921552049, min values: 9.7882e-07, max values: 38.781, median values: 0.23055, and quantile values: 0.25 0.065926\n0.50 0.230550\n0.75 1.004690\nName: 2923, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6212668306622644, std values: 4.978105519820509, min values: 1.7798e-06, max values: 39.037, median values: 0.244, and quantile values: 0.25 0.072484\n0.50 0.244000\n0.75 1.071150\nName: 2924, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2197555983848114, std values: 4.49376105769203, min values: 1.7812e-08, max values: 35.69, median values: 0.12661, and quantile values: 0.25 0.026707\n0.50 0.126610\n0.75 0.600910\nName: 2925, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6332227239503143, std values: 5.161012809559764, min values: 2.717e-06, max values: 42.469, median values: 0.30595, and quantile values: 0.25 0.073897\n0.50 0.305950\n0.75 1.034240\nName: 2926, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5385080953050314, std values: 4.7259638215988184, min values: 1.7298e-06, max values: 39.53, median values: 0.23025, and quantile values: 0.25 0.073099\n0.50 0.230250\n0.75 0.973140\nName: 2927, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4295491419937105, std values: 4.8587329715881955, min values: 1.2455e-06, max values: 38.66, median values: 0.21019, and quantile values: 0.25 0.061750\n0.50 0.210190\n0.75 0.827925\nName: 2928, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5925709167597484, std values: 5.109527507445846, min values: 2.3786e-06, max values: 41.489, median values: 0.25815, and quantile values: 0.25 0.069906\n0.50 0.258150\n0.75 0.992260\nName: 2929, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8094318050572327, std values: 5.40106553012974, min values: 3.3629e-06, max values: 44.452, median values: 0.31822, and quantile values: 0.25 0.087129\n0.50 0.318220\n0.75 1.199300\nName: 2930, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5907980040840881, std values: 5.306282501490674, min values: 3.9787e-07, max values: 47.186, median values: 0.19822, and quantile values: 0.25 0.055939\n0.50 0.198220\n0.75 0.931580\nName: 2931, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.546772298867799, std values: 5.013195066179667, min values: 6.6588e-07, max values: 41.756, median values: 0.25047, and quantile values: 0.25 0.064985\n0.50 0.250470\n0.75 0.951350\nName: 2932, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3339707599917046, std values: 4.605514488575945, min values: 8.1821e-08, max values: 36.643, median values: 0.17619, and quantile values: 0.25 0.045856\n0.50 0.176190\n0.75 0.739700\nName: 2933, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5439982259728302, std values: 4.938199876671228, min values: 5.6948e-07, max values: 40.183, median values: 0.22187, and quantile values: 0.25 0.060108\n0.50 0.221870\n0.75 0.922200\nName: 2934, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.343787874643673, std values: 4.776424573027766, min values: 2.7504e-08, max values: 39.107, median values: 0.16015, and quantile values: 0.25 0.038876\n0.50 0.160150\n0.75 0.737955\nName: 2935, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7090188127867927, std values: 5.177373472114339, min values: 4.4942e-06, max values: 40.799, median values: 0.27316, and quantile values: 0.25 0.081508\n0.50 0.273160\n0.75 1.119950\nName: 2936, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4124277314018867, std values: 4.814072983450553, min values: 1.2292e-06, max values: 38.501, median values: 0.21445, and quantile values: 0.25 0.056943\n0.50 0.214450\n0.75 0.813850\nName: 2937, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4632169421993713, std values: 4.886595975948898, min values: 1.6223e-06, max values: 39.269, median values: 0.21198, and quantile values: 0.25 0.067526\n0.50 0.211980\n0.75 0.893055\nName: 2938, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4549811662555978, std values: 4.904343265922114, min values: 7.7344e-07, max values: 39.456, median values: 0.19608, and quantile values: 0.25 0.054806\n0.50 0.196080\n0.75 0.834040\nName: 2939, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2879297535799181, std values: 4.747305406226446, min values: 2.4207e-08, max values: 38.768, median values: 0.16285, and quantile values: 0.25 0.046281\n0.50 0.162850\n0.75 0.724115\nName: 2940, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.493081705727044, std values: 5.118237466134731, min values: 1.6391e-06, max values: 42.876, median values: 0.21856, and quantile values: 0.25 0.066720\n0.50 0.218560\n0.75 0.876025\nName: 2941, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.531557275574843, std values: 5.103827666880751, min values: 3.6595e-06, max values: 41.206, median values: 0.2267, and quantile values: 0.25 0.073464\n0.50 0.226700\n0.75 0.829850\nName: 2942, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6213553698396228, std values: 5.242575421890915, min values: 2.8065e-06, max values: 44.248, median values: 0.23879, and quantile values: 0.25 0.075206\n0.50 0.238790\n0.75 1.024200\nName: 2943, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3092532328276731, std values: 4.65924746782593, min values: 1.9645e-06, max values: 39.324, median values: 0.19223, and quantile values: 0.25 0.056200\n0.50 0.192230\n0.75 0.744345\nName: 2944, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.544134445104082, std values: 4.822492963355808, min values: 2.7689e-08, max values: 38.435, median values: 0.22817, and quantile values: 0.25 0.053302\n0.50 0.228170\n0.75 1.049600\nName: 2945, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3518711074555032, std values: 4.572991640259436, min values: 2.8277e-08, max values: 36.041, median values: 0.16991, and quantile values: 0.25 0.043887\n0.50 0.169910\n0.75 0.816980\nName: 2946, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.51267965123522, std values: 5.096333056584044, min values: 2.5886e-06, max values: 40.852, median values: 0.25548, and quantile values: 0.25 0.069923\n0.50 0.255480\n0.75 0.902015\nName: 2947, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6995830139256918, std values: 5.240352005675088, min values: 6.5785e-08, max values: 44.957, median values: 0.23387, and quantile values: 0.25 0.064095\n0.50 0.233870\n0.75 1.130400\nName: 2948, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.539887835073585, std values: 4.6596872092953, min values: 1.057e-06, max values: 38.123, median values: 0.26863, and quantile values: 0.25 0.07101\n0.50 0.26863\n0.75 1.11865\nName: 2949, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4409948336037106, std values: 4.769879933242017, min values: 4.087e-07, max values: 38.212, median values: 0.22602, and quantile values: 0.25 0.05629\n0.50 0.22602\n0.75 0.92415\nName: 2950, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5807936680893082, std values: 4.977058634054038, min values: 2.4591e-06, max values: 39.844, median values: 0.29019, and quantile values: 0.25 0.071359\n0.50 0.290190\n0.75 0.978075\nName: 2951, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4102742983509435, std values: 4.968599754539775, min values: 1.6396e-06, max values: 40.216, median values: 0.1945, and quantile values: 0.25 0.056332\n0.50 0.194500\n0.75 0.862115\nName: 2952, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6129314480616352, std values: 4.979374892882774, min values: 4.6076e-06, max values: 40.387, median values: 0.26387, and quantile values: 0.25 0.084487\n0.50 0.263870\n0.75 0.971825\nName: 2953, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7583068329622642, std values: 5.238732775254323, min values: 1.0497e-06, max values: 43.533, median values: 0.29416, and quantile values: 0.25 0.081911\n0.50 0.294160\n0.75 1.236450\nName: 2954, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.304845755971887, std values: 4.821706908671585, min values: 1.5113e-07, max values: 39.463, median values: 0.14996, and quantile values: 0.25 0.040383\n0.50 0.149960\n0.75 0.696005\nName: 2955, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5525565088125786, std values: 5.0684836109618505, min values: 3.518e-06, max values: 40.258, median values: 0.25151, and quantile values: 0.25 0.070328\n0.50 0.251510\n0.75 0.923475\nName: 2956, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5624662109867924, std values: 5.060522701861516, min values: 1.9424e-06, max values: 41.643, median values: 0.27443, and quantile values: 0.25 0.07537\n0.50 0.27443\n0.75 0.97121\nName: 2957, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.508052491971698, std values: 4.759722313966161, min values: 1.6055e-06, max values: 38.103, median values: 0.23093, and quantile values: 0.25 0.064685\n0.50 0.230930\n0.75 0.990015\nName: 2958, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4380201252761007, std values: 4.715330638020375, min values: 1.1706e-06, max values: 38.94, median values: 0.22131, and quantile values: 0.25 0.058917\n0.50 0.221310\n0.75 0.888055\nName: 2959, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.363503880189799, std values: 4.6623259166218745, min values: 2.5408e-08, max values: 37.003, median values: 0.2087, and quantile values: 0.25 0.048052\n0.50 0.208700\n0.75 0.827340\nName: 2960, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7911895849597481, std values: 5.076257489887162, min values: 3.1898e-06, max values: 38.838, median values: 0.33663, and quantile values: 0.25 0.092773\n0.50 0.336630\n0.75 1.237250\nName: 2961, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2286689961479937, std values: 4.574485957027271, min values: 1.8872e-08, max values: 37.523, median values: 0.1177, and quantile values: 0.25 0.029041\n0.50 0.117700\n0.75 0.580295\nName: 2962, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.226610204533962, std values: 4.8029581132977475, min values: 1.6645e-06, max values: 39.542, median values: 0.15619, and quantile values: 0.25 0.045853\n0.50 0.156190\n0.75 0.609700\nName: 2963, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.449046265894591, std values: 4.959671182495481, min values: 3.6914e-07, max values: 41.298, median values: 0.20142, and quantile values: 0.25 0.056890\n0.50 0.201420\n0.75 0.858315\nName: 2964, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3055733834464152, std values: 4.617766460903402, min values: 7.4078e-07, max values: 38.397, median values: 0.16572, and quantile values: 0.25 0.052575\n0.50 0.165720\n0.75 0.738710\nName: 2965, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4405453359520126, std values: 4.711108879883902, min values: 2.4007e-07, max values: 37.432, median values: 0.19945, and quantile values: 0.25 0.053731\n0.50 0.199450\n0.75 0.868760\nName: 2966, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6392527384867925, std values: 5.124922006195342, min values: 3.7172e-06, max values: 40.539, median values: 0.29383, and quantile values: 0.25 0.078553\n0.50 0.293830\n0.75 1.039360\nName: 2967, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5272716521062895, std values: 5.035262276358628, min values: 3.4267e-06, max values: 40.91, median values: 0.21688, and quantile values: 0.25 0.066504\n0.50 0.216880\n0.75 0.865010\nName: 2968, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3944088625037736, std values: 4.768239277930802, min values: 1.3392e-06, max values: 38.119, median values: 0.22462, and quantile values: 0.25 0.063464\n0.50 0.224620\n0.75 0.823645\nName: 2969, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5517917784616353, std values: 5.076052388287362, min values: 3.9892e-06, max values: 40.962, median values: 0.24388, and quantile values: 0.25 0.062187\n0.50 0.243880\n0.75 0.954075\nName: 2970, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2356777110401258, std values: 4.666600254111241, min values: 1.6574e-07, max values: 37.291, median values: 0.14362, and quantile values: 0.25 0.043332\n0.50 0.143620\n0.75 0.641040\nName: 2971, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.471062852055346, std values: 4.9159002466128, min values: 2.5764e-06, max values: 38.963, median values: 0.23286, and quantile values: 0.25 0.075314\n0.50 0.232860\n0.75 0.769035\nName: 2972, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3782229174345912, std values: 4.697903667610282, min values: 8.828e-07, max values: 37.477, median values: 0.19171, and quantile values: 0.25 0.055856\n0.50 0.191710\n0.75 0.797510\nName: 2973, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2779043565266037, std values: 4.781777495162868, min values: 6.8763e-07, max values: 38.623, median values: 0.15865, and quantile values: 0.25 0.045764\n0.50 0.158650\n0.75 0.684520\nName: 2974, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6739952916352203, std values: 4.986816239172404, min values: 5.5934e-06, max values: 40.785, median values: 0.27129, and quantile values: 0.25 0.079483\n0.50 0.271290\n0.75 1.061550\nName: 2975, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4943729569100628, std values: 5.04884483081668, min values: 1.9151e-06, max values: 41.813, median values: 0.24812, and quantile values: 0.25 0.067102\n0.50 0.248120\n0.75 0.937455\nName: 2976, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5698056701100631, std values: 5.235875768901029, min values: 2.5939e-06, max values: 44.575, median values: 0.23849, and quantile values: 0.25 0.062053\n0.50 0.238490\n0.75 0.902085\nName: 2977, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7029965423496858, std values: 4.933762812846599, min values: 2.7764e-06, max values: 38.824, median values: 0.32398, and quantile values: 0.25 0.082016\n0.50 0.323980\n0.75 1.213850\nName: 2978, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.483456432154088, std values: 4.968222529490709, min values: 1.6733e-06, max values: 40.025, median values: 0.22076, and quantile values: 0.25 0.060692\n0.50 0.220760\n0.75 0.899380\nName: 2979, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.789528679319497, std values: 5.212281585529079, min values: 2.8409e-06, max values: 41.921, median values: 0.3048, and quantile values: 0.25 0.086732\n0.50 0.304800\n0.75 1.272250\nName: 2980, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.553085955472327, std values: 5.078993601405724, min values: 3.1511e-06, max values: 40.943, median values: 0.25263, and quantile values: 0.25 0.075245\n0.50 0.252630\n0.75 0.946515\nName: 2981, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2870703388937108, std values: 4.648750266805245, min values: 9.682e-07, max values: 38.355, median values: 0.16123, and quantile values: 0.25 0.052223\n0.50 0.161230\n0.75 0.700260\nName: 2982, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.639350610369811, std values: 5.107931714598519, min values: 2.3733e-06, max values: 40.47, median values: 0.26512, and quantile values: 0.25 0.072553\n0.50 0.265120\n0.75 1.091500\nName: 2983, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5215200789283647, std values: 4.730970460940339, min values: 3.8041e-07, max values: 37.561, median values: 0.24989, and quantile values: 0.25 0.064146\n0.50 0.249890\n0.75 0.993490\nName: 2984, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4305527088581131, std values: 4.825200342996328, min values: 6.9804e-07, max values: 38.351, median values: 0.18374, and quantile values: 0.25 0.058239\n0.50 0.183740\n0.75 0.897845\nName: 2985, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4231015020271698, std values: 4.471980386456086, min values: 1.4675e-07, max values: 36.026, median values: 0.20149, and quantile values: 0.25 0.051022\n0.50 0.201490\n0.75 0.901895\nName: 2986, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.414560142827044, std values: 5.072981263966053, min values: 2.1178e-06, max values: 42.114, median values: 0.18944, and quantile values: 0.25 0.060733\n0.50 0.189440\n0.75 0.766115\nName: 2987, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6215947956773586, std values: 4.939616043716824, min values: 4.9493e-06, max values: 40.392, median values: 0.27267, and quantile values: 0.25 0.079732\n0.50 0.272670\n0.75 0.988595\nName: 2988, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5937881474572329, std values: 5.21787468048193, min values: 4.6856e-06, max values: 41.806, median values: 0.22406, and quantile values: 0.25 0.068750\n0.50 0.224060\n0.75 0.934975\nName: 2989, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.055610949749057, std values: 5.411432886755606, min values: 3.6437e-06, max values: 40.934, median values: 0.37272, and quantile values: 0.25 0.098037\n0.50 0.372720\n0.75 1.480850\nName: 2990, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6753922640641512, std values: 5.07750618815958, min values: 5.3523e-06, max values: 40.481, median values: 0.29063, and quantile values: 0.25 0.079064\n0.50 0.290630\n0.75 1.014400\nName: 2991, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2472805307280503, std values: 4.643593718733815, min values: 1.7441e-07, max values: 37.086, median values: 0.1473, and quantile values: 0.25 0.03890\n0.50 0.14730\n0.75 0.67067\nName: 2992, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3376202610880505, std values: 4.950374409484385, min values: 3.496e-07, max values: 42.164, median values: 0.16827, and quantile values: 0.25 0.042528\n0.50 0.168270\n0.75 0.686380\nName: 2993, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3679360020974844, std values: 4.744530721531999, min values: 1.7408e-06, max values: 38.649, median values: 0.20294, and quantile values: 0.25 0.056607\n0.50 0.202940\n0.75 0.866215\nName: 2994, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.308367895027044, std values: 4.535346617491298, min values: 1.0721e-06, max values: 37.878, median values: 0.18675, and quantile values: 0.25 0.055245\n0.50 0.186750\n0.75 0.754325\nName: 2995, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3005758133067298, std values: 4.5663877188975555, min values: 5.7484e-07, max values: 36.592, median values: 0.1599, and quantile values: 0.25 0.048962\n0.50 0.159900\n0.75 0.709765\nName: 2996, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5953068632138365, std values: 5.316850090682679, min values: 1.1034e-06, max values: 46.724, median values: 0.26688, and quantile values: 0.25 0.062521\n0.50 0.266880\n0.75 0.956125\nName: 2997, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5598859152691824, std values: 5.100376134389404, min values: 4.4443e-06, max values: 41.209, median values: 0.23883, and quantile values: 0.25 0.070936\n0.50 0.238830\n0.75 0.895885\nName: 2998, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4170222523420124, std values: 4.957561849852528, min values: 5.2148e-07, max values: 42.304, median values: 0.21104, and quantile values: 0.25 0.060180\n0.50 0.211040\n0.75 0.818125\nName: 2999, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4753396578103772, std values: 4.978429344058048, min values: 8.8915e-07, max values: 41.986, median values: 0.23113, and quantile values: 0.25 0.066976\n0.50 0.231130\n0.75 0.898930\nName: 3000, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7038222976444652, std values: 5.249493198025543, min values: 7.4007e-07, max values: 44.719, median values: 0.2471, and quantile values: 0.25 0.064908\n0.50 0.247100\n0.75 1.096850\nName: 3001, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.420075441847497, std values: 5.069374553742136, min values: 1.6812e-08, max values: 44.673, median values: 0.16148, and quantile values: 0.25 0.046448\n0.50 0.161480\n0.75 0.783005\nName: 3002, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5420984777603772, std values: 4.905416363444158, min values: 1.1734e-06, max values: 38.963, median values: 0.27405, and quantile values: 0.25 0.068774\n0.50 0.274050\n0.75 1.000690\nName: 3003, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3587372305377798, std values: 4.889742150218595, min values: 2.0087e-08, max values: 42.265, median values: 0.18101, and quantile values: 0.25 0.040314\n0.50 0.181010\n0.75 0.686255\nName: 3004, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4181317158773583, std values: 4.825418852145837, min values: 2.9995e-06, max values: 40.65, median values: 0.20284, and quantile values: 0.25 0.053648\n0.50 0.202840\n0.75 0.808685\nName: 3005, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.447057941701258, std values: 5.054690950283919, min values: 2.1399e-06, max values: 41.938, median values: 0.1966, and quantile values: 0.25 0.071158\n0.50 0.196600\n0.75 0.780870\nName: 3006, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4262840646207546, std values: 4.870085350111817, min values: 2.6756e-06, max values: 39.626, median values: 0.20379, and quantile values: 0.25 0.066731\n0.50 0.203790\n0.75 0.837165\nName: 3007, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.547353560526478, std values: 4.910834155816498, min values: 8.8871e-07, max values: 39.271, median values: 0.25946, and quantile values: 0.25 0.068210\n0.50 0.259460\n0.75 1.008465\nName: 3008, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6031076291347797, std values: 5.028035749150465, min values: 9.6453e-07, max values: 40.527, median values: 0.2591, and quantile values: 0.25 0.073381\n0.50 0.259100\n0.75 1.002335\nName: 3009, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.64595198927044, std values: 5.122542651138658, min values: 1.9539e-06, max values: 41.485, median values: 0.25951, and quantile values: 0.25 0.069726\n0.50 0.259510\n0.75 1.076450\nName: 3010, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4887061092924527, std values: 4.8401438383039315, min values: 5.5752e-06, max values: 41.496, median values: 0.22317, and quantile values: 0.25 0.070927\n0.50 0.223170\n0.75 0.779580\nName: 3011, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7411765622125785, std values: 5.045797276421821, min values: 7.0378e-06, max values: 40.729, median values: 0.29054, and quantile values: 0.25 0.092668\n0.50 0.290540\n0.75 1.159600\nName: 3012, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5333836554211886, std values: 4.7374955110171735, min values: 1.8505e-08, max values: 37.463, median values: 0.20587, and quantile values: 0.25 0.046309\n0.50 0.205870\n0.75 0.958290\nName: 3013, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4367659016320755, std values: 4.904641389929874, min values: 1.2254e-06, max values: 40.194, median values: 0.199, and quantile values: 0.25 0.055764\n0.50 0.199000\n0.75 0.772605\nName: 3014, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4442760633356604, std values: 4.992042587874683, min values: 1.8257e-07, max values: 42.543, median values: 0.18389, and quantile values: 0.25 0.046977\n0.50 0.183890\n0.75 0.789450\nName: 3015, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6711391085383647, std values: 5.128441699673516, min values: 3.6115e-06, max values: 40.512, median values: 0.26766, and quantile values: 0.25 0.07582\n0.50 0.26766\n0.75 1.09665\nName: 3016, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.789414124903145, std values: 5.3408560355144425, min values: 2.7231e-06, max values: 43.888, median values: 0.3011, and quantile values: 0.25 0.089036\n0.50 0.301100\n0.75 1.228950\nName: 3017, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6731073564194967, std values: 4.905788163929566, min values: 1.4851e-06, max values: 38.532, median values: 0.29893, and quantile values: 0.25 0.080295\n0.50 0.298930\n0.75 1.144550\nName: 3018, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8007417782327044, std values: 5.155167036225309, min values: 1.5819e-06, max values: 41.677, median values: 0.32661, and quantile values: 0.25 0.089691\n0.50 0.326610\n0.75 1.298600\nName: 3019, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5938635387245284, std values: 4.835697113251336, min values: 6.259e-07, max values: 39.177, median values: 0.26725, and quantile values: 0.25 0.074313\n0.50 0.267250\n0.75 1.072050\nName: 3020, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3737318129503147, std values: 5.053703883066779, min values: 1.0394e-06, max values: 43.004, median values: 0.16654, and quantile values: 0.25 0.059143\n0.50 0.166540\n0.75 0.756260\nName: 3021, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.473766384516352, std values: 4.881723890800463, min values: 3.1972e-06, max values: 39.123, median values: 0.20931, and quantile values: 0.25 0.062795\n0.50 0.209310\n0.75 0.853905\nName: 3022, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4639898345396227, std values: 5.181283932057725, min values: 3.4068e-06, max values: 43.107, median values: 0.2259, and quantile values: 0.25 0.063599\n0.50 0.225900\n0.75 0.780710\nName: 3023, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3414654673597484, std values: 5.087908409451928, min values: 2.535e-06, max values: 43.11, median values: 0.176, and quantile values: 0.25 0.046831\n0.50 0.176000\n0.75 0.661310\nName: 3024, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3598606994654088, std values: 4.827688643670193, min values: 2.2926e-06, max values: 39.431, median values: 0.18964, and quantile values: 0.25 0.062388\n0.50 0.189640\n0.75 0.761950\nName: 3025, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5469864539283018, std values: 5.124693104287031, min values: 2.7199e-06, max values: 41.603, median values: 0.22718, and quantile values: 0.25 0.065092\n0.50 0.227180\n0.75 0.899385\nName: 3026, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1871376241323899, std values: 4.656731670415149, min values: 3.2235e-07, max values: 37.897, median values: 0.11855, and quantile values: 0.25 0.036817\n0.50 0.118550\n0.75 0.565450\nName: 3027, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4658722793672958, std values: 4.920593967207037, min values: 1.2598e-06, max values: 39.797, median values: 0.22963, and quantile values: 0.25 0.069969\n0.50 0.229630\n0.75 0.912700\nName: 3028, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7827830123242137, std values: 5.147285159029413, min values: 1.5055e-07, max values: 42.088, median values: 0.31607, and quantile values: 0.25 0.070573\n0.50 0.316070\n0.75 1.337800\nName: 3029, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5195508673903144, std values: 4.849481505472989, min values: 6.5996e-07, max values: 38.699, median values: 0.22397, and quantile values: 0.25 0.066851\n0.50 0.223970\n0.75 0.976160\nName: 3030, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.578279682150692, std values: 4.798527342046554, min values: 6.0186e-07, max values: 37.149, median values: 0.25352, and quantile values: 0.25 0.054125\n0.50 0.253520\n0.75 0.995430\nName: 3031, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.464493598544654, std values: 4.6999043528978035, min values: 0.0, max values: 38.176, median values: 0.2361, and quantile values: 0.25 0.065741\n0.50 0.236100\n0.75 0.851425\nName: 3032, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6347300934459121, std values: 4.851216651749846, min values: 3.1041e-06, max values: 39.636, median values: 0.26872, and quantile values: 0.25 0.084543\n0.50 0.268720\n0.75 1.050650\nName: 3033, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6916624693157234, std values: 5.125750366705316, min values: 7.9362e-06, max values: 41.171, median values: 0.27657, and quantile values: 0.25 0.087482\n0.50 0.276570\n0.75 1.054550\nName: 3034, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2667936474251575, std values: 4.526372572174638, min values: 1.1141e-06, max values: 38.858, median values: 0.16918, and quantile values: 0.25 0.051812\n0.50 0.169180\n0.75 0.773385\nName: 3035, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4787067311935223, std values: 4.851128074778734, min values: 2.7297e-07, max values: 38.614, median values: 0.2255, and quantile values: 0.25 0.058611\n0.50 0.225500\n0.75 0.876145\nName: 3036, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.469132555479308, std values: 4.9412674085498605, min values: 6.6041e-07, max values: 40.941, median values: 0.18997, and quantile values: 0.25 0.053174\n0.50 0.189970\n0.75 0.827820\nName: 3037, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.588940224389937, std values: 4.889077888360099, min values: 1.129e-06, max values: 38.272, median values: 0.25, and quantile values: 0.25 0.071987\n0.50 0.250000\n0.75 1.080200\nName: 3038, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5858276539597485, std values: 5.091905198425435, min values: 3.3608e-06, max values: 41.172, median values: 0.24153, and quantile values: 0.25 0.073634\n0.50 0.241530\n0.75 1.007200\nName: 3039, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4268034543716352, std values: 5.249054506676051, min values: 7.5539e-07, max values: 46.301, median values: 0.14879, and quantile values: 0.25 0.046072\n0.50 0.148790\n0.75 0.776945\nName: 3040, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6307252587238992, std values: 5.084272170548377, min values: 1.4947e-06, max values: 41.291, median values: 0.26436, and quantile values: 0.25 0.071518\n0.50 0.264360\n0.75 1.050350\nName: 3041, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.453037621660377, std values: 5.112831890515283, min values: 3.0181e-06, max values: 41.309, median values: 0.20848, and quantile values: 0.25 0.058738\n0.50 0.208480\n0.75 0.821230\nName: 3042, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6000478200553458, std values: 4.999578101808039, min values: 5.9527e-06, max values: 40.966, median values: 0.24591, and quantile values: 0.25 0.074724\n0.50 0.245910\n0.75 0.942465\nName: 3043, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4411932298849057, std values: 4.804304744124184, min values: 3.3695e-06, max values: 40.396, median values: 0.22537, and quantile values: 0.25 0.06119\n0.50 0.22537\n0.75 0.90716\nName: 3044, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4793341193876728, std values: 4.864357136248685, min values: 4.3914e-07, max values: 39.755, median values: 0.21777, and quantile values: 0.25 0.064309\n0.50 0.217770\n0.75 0.897080\nName: 3045, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.486117115999371, std values: 5.068648407659951, min values: 2.5222e-06, max values: 41.68, median values: 0.21001, and quantile values: 0.25 0.064190\n0.50 0.210010\n0.75 0.872575\nName: 3046, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2665960515610064, std values: 4.837481762025963, min values: 1.8897e-06, max values: 39.805, median values: 0.16163, and quantile values: 0.25 0.051812\n0.50 0.161630\n0.75 0.645685\nName: 3047, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4392602249251572, std values: 4.9276490990290975, min values: 9.136e-07, max values: 40.053, median values: 0.20296, and quantile values: 0.25 0.053451\n0.50 0.202960\n0.75 0.850365\nName: 3048, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4539435382559747, std values: 4.986756860093158, min values: 2.4358e-06, max values: 40.504, median values: 0.22862, and quantile values: 0.25 0.06278\n0.50 0.22862\n0.75 0.84649\nName: 3049, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6864047068544026, std values: 5.126026489538878, min values: 8.6205e-07, max values: 41.016, median values: 0.25302, and quantile values: 0.25 0.061427\n0.50 0.253020\n0.75 1.117800\nName: 3050, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3534623903674654, std values: 4.893415560444986, min values: 1.9247e-08, max values: 41.646, median values: 0.17995, and quantile values: 0.25 0.045609\n0.50 0.179950\n0.75 0.720620\nName: 3051, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4963800135988237, std values: 4.751226153304836, min values: 4.5113e-08, max values: 37.159, median values: 0.17242, and quantile values: 0.25 0.051434\n0.50 0.172420\n0.75 0.929650\nName: 3052, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6622476652525155, std values: 4.926309714073511, min values: 9.3705e-07, max values: 38.583, median values: 0.2808, and quantile values: 0.25 0.069493\n0.50 0.280800\n0.75 1.133750\nName: 3053, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5533474798383649, std values: 5.181134610785704, min values: 2.5201e-06, max values: 43.014, median values: 0.24663, and quantile values: 0.25 0.067411\n0.50 0.246630\n0.75 0.922110\nName: 3054, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6795560756509433, std values: 5.213307772129366, min values: 1.061e-06, max values: 44.145, median values: 0.28228, and quantile values: 0.25 0.077176\n0.50 0.282280\n0.75 1.160100\nName: 3055, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5195794309113206, std values: 5.0010425950423585, min values: 3.2205e-06, max values: 40.152, median values: 0.26388, and quantile values: 0.25 0.065205\n0.50 0.263880\n0.75 0.924080\nName: 3056, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2831506539220128, std values: 4.843058134890723, min values: 1.0118e-06, max values: 39.342, median values: 0.16145, and quantile values: 0.25 0.046390\n0.50 0.161450\n0.75 0.691275\nName: 3057, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4925965279100628, std values: 5.001944044968234, min values: 2.0162e-06, max values: 40.689, median values: 0.21973, and quantile values: 0.25 0.063891\n0.50 0.219730\n0.75 0.926130\nName: 3058, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4826772310798744, std values: 5.014309781836666, min values: 3.0166e-06, max values: 40.356, median values: 0.22537, and quantile values: 0.25 0.059893\n0.50 0.225370\n0.75 0.850730\nName: 3059, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6230955891142138, std values: 5.20441145818626, min values: 7.1476e-07, max values: 45.171, median values: 0.26587, and quantile values: 0.25 0.073104\n0.50 0.265870\n0.75 1.061650\nName: 3060, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4776203132691825, std values: 4.969187986431015, min values: 2.8561e-06, max values: 40.948, median values: 0.21626, and quantile values: 0.25 0.062261\n0.50 0.216260\n0.75 0.841280\nName: 3061, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6621167661767295, std values: 5.194267772707038, min values: 1.1788e-06, max values: 44.06, median values: 0.27198, and quantile values: 0.25 0.073332\n0.50 0.271980\n0.75 1.096650\nName: 3062, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4118673857031445, std values: 4.901006166734942, min values: 1.7185e-06, max values: 39.532, median values: 0.22702, and quantile values: 0.25 0.065836\n0.50 0.227020\n0.75 0.918035\nName: 3063, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.465064753016981, std values: 5.139178768926501, min values: 2.4415e-06, max values: 42.497, median values: 0.21911, and quantile values: 0.25 0.059592\n0.50 0.219110\n0.75 0.847775\nName: 3064, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3860935945308177, std values: 4.7135474299427, min values: 1.0397e-06, max values: 38.538, median values: 0.19228, and quantile values: 0.25 0.061125\n0.50 0.192280\n0.75 0.828940\nName: 3065, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3486977375905658, std values: 4.935904912502125, min values: 1.2093e-06, max values: 40.837, median values: 0.16513, and quantile values: 0.25 0.052115\n0.50 0.165130\n0.75 0.705435\nName: 3066, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4662778772520506, std values: 4.747627698264759, min values: 9.8446e-08, max values: 38.388, median values: 0.21922, and quantile values: 0.25 0.050948\n0.50 0.219220\n0.75 0.852950\nName: 3067, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4850279553804404, std values: 4.970646540675039, min values: 5.7459e-07, max values: 41.317, median values: 0.2263, and quantile values: 0.25 0.060206\n0.50 0.226300\n0.75 0.845220\nName: 3068, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4924033613207546, std values: 4.749247915009933, min values: 3.8222e-06, max values: 40.233, median values: 0.24726, and quantile values: 0.25 0.068878\n0.50 0.247260\n0.75 0.886840\nName: 3069, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.25055631494717, std values: 4.796452326048293, min values: 8.472e-07, max values: 39.678, median values: 0.14842, and quantile values: 0.25 0.044445\n0.50 0.148420\n0.75 0.652295\nName: 3070, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5164131637138554, std values: 4.698025375264677, min values: 5.0703e-08, max values: 37.233, median values: 0.23364, and quantile values: 0.25 0.05754\n0.50 0.23364\n0.75 1.01500\nName: 3071, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4654143097163521, std values: 4.721915116459715, min values: 2.419e-06, max values: 39.204, median values: 0.2788, and quantile values: 0.25 0.065765\n0.50 0.278800\n0.75 0.925560\nName: 3072, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.360102843707547, std values: 4.708793505228661, min values: 1.1783e-06, max values: 37.987, median values: 0.18282, and quantile values: 0.25 0.052720\n0.50 0.182820\n0.75 0.788225\nName: 3073, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3988722071389936, std values: 5.014879543866003, min values: 1.6611e-06, max values: 41.706, median values: 0.18647, and quantile values: 0.25 0.055254\n0.50 0.186470\n0.75 0.785825\nName: 3074, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7450808046169812, std values: 5.342740544805744, min values: 3.4609e-06, max values: 43.805, median values: 0.28399, and quantile values: 0.25 0.085433\n0.50 0.283990\n0.75 1.148900\nName: 3075, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4805216885968555, std values: 4.988588565954469, min values: 5.212e-07, max values: 41.276, median values: 0.20104, and quantile values: 0.25 0.053484\n0.50 0.201040\n0.75 0.885175\nName: 3076, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5220607951610063, std values: 4.874695581507038, min values: 5.3369e-06, max values: 40.164, median values: 0.24146, and quantile values: 0.25 0.065169\n0.50 0.241460\n0.75 0.856370\nName: 3077, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5267396206147799, std values: 4.801307208539934, min values: 9.6915e-07, max values: 38.593, median values: 0.24798, and quantile values: 0.25 0.06580\n0.50 0.24798\n0.75 0.98311\nName: 3078, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.576736591411321, std values: 5.054498376138025, min values: 1.7049e-06, max values: 41.358, median values: 0.24428, and quantile values: 0.25 0.067975\n0.50 0.244280\n0.75 1.023000\nName: 3079, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.581782715872327, std values: 5.159161612897736, min values: 1.3271e-06, max values: 42.999, median values: 0.22898, and quantile values: 0.25 0.064361\n0.50 0.228980\n0.75 1.008325\nName: 3080, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5474270342823901, std values: 4.722030653769026, min values: 1.2541e-06, max values: 37.656, median values: 0.26508, and quantile values: 0.25 0.076799\n0.50 0.265080\n0.75 0.980090\nName: 3081, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.294740616263522, std values: 4.918661850435773, min values: 2.9328e-06, max values: 40.389, median values: 0.16386, and quantile values: 0.25 0.046729\n0.50 0.163860\n0.75 0.596240\nName: 3082, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.37959451660566, std values: 5.123693561288716, min values: 6.259e-07, max values: 41.577, median values: 0.1932, and quantile values: 0.25 0.055443\n0.50 0.193200\n0.75 0.700120\nName: 3083, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5329324800518869, std values: 4.853406213230274, min values: 2.3785e-07, max values: 38.579, median values: 0.22664, and quantile values: 0.25 0.065004\n0.50 0.226640\n0.75 1.000725\nName: 3084, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4239380938408177, std values: 4.8995540893588165, min values: 8.4809e-07, max values: 40.309, median values: 0.19657, and quantile values: 0.25 0.063964\n0.50 0.196570\n0.75 0.797200\nName: 3085, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4420076758849056, std values: 4.86338674622424, min values: 4.304e-07, max values: 39.024, median values: 0.20824, and quantile values: 0.25 0.059374\n0.50 0.208240\n0.75 0.906295\nName: 3086, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.582550284188302, std values: 4.902435825667016, min values: 9.4044e-07, max values: 38.77, median values: 0.25844, and quantile values: 0.25 0.068236\n0.50 0.258440\n0.75 1.033600\nName: 3087, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8626297616761005, std values: 5.276938732461581, min values: 1.6645e-06, max values: 42.448, median values: 0.39332, and quantile values: 0.25 0.089826\n0.50 0.393320\n0.75 1.312800\nName: 3088, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6188767615484276, std values: 4.882859065940566, min values: 2.9091e-06, max values: 39.941, median values: 0.23999, and quantile values: 0.25 0.075789\n0.50 0.239990\n0.75 1.058100\nName: 3089, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5856614444306918, std values: 5.081459864264678, min values: 6.259e-07, max values: 43.128, median values: 0.23143, and quantile values: 0.25 0.069382\n0.50 0.231430\n0.75 1.019185\nName: 3090, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4877779741325154, std values: 4.8127992271436195, min values: 3.1617e-07, max values: 37.863, median values: 0.23296, and quantile values: 0.25 0.060539\n0.50 0.232960\n0.75 0.915605\nName: 3091, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.492079979374277, std values: 4.872246308423832, min values: 5.4241e-07, max values: 39.308, median values: 0.26089, and quantile values: 0.25 0.061613\n0.50 0.260890\n0.75 0.943375\nName: 3092, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4856593682534591, std values: 5.237222215057123, min values: 1.8885e-06, max values: 45.0, median values: 0.20061, and quantile values: 0.25 0.063209\n0.50 0.200610\n0.75 0.943360\nName: 3093, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.560596203346478, std values: 4.9992179683989235, min values: 6.9749e-07, max values: 41.625, median values: 0.21475, and quantile values: 0.25 0.056969\n0.50 0.214750\n0.75 0.913595\nName: 3094, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4141034032402517, std values: 4.681512807617329, min values: 1.2983e-06, max values: 38.523, median values: 0.19761, and quantile values: 0.25 0.059587\n0.50 0.197610\n0.75 0.850320\nName: 3095, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4653387999955974, std values: 5.04703605912331, min values: 1.7959e-06, max values: 40.698, median values: 0.19305, and quantile values: 0.25 0.059057\n0.50 0.193050\n0.75 0.780375\nName: 3096, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3888806143990566, std values: 4.623072280725528, min values: 3.6565e-07, max values: 37.672, median values: 0.1932, and quantile values: 0.25 0.057550\n0.50 0.193200\n0.75 0.883175\nName: 3097, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1869417225987424, std values: 4.462029104607239, min values: 4.41e-08, max values: 37.14, median values: 0.14368, and quantile values: 0.25 0.04348\n0.50 0.14368\n0.75 0.62624\nName: 3098, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.2493324148496856, std values: 5.7053934230010235, min values: 8.4441e-06, max values: 40.916, median values: 0.4039, and quantile values: 0.25 0.11320\n0.50 0.40390\n0.75 1.54855\nName: 3099, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2957031882287422, std values: 4.441583965640307, min values: 9.3857e-07, max values: 38.357, median values: 0.17571, and quantile values: 0.25 0.049656\n0.50 0.175710\n0.75 0.762355\nName: 3100, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4984365168532074, std values: 5.069576826648402, min values: 1.6336e-07, max values: 43.241, median values: 0.23304, and quantile values: 0.25 0.058918\n0.50 0.233040\n0.75 0.906715\nName: 3101, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.651006272107547, std values: 5.19551302201415, min values: 4.1298e-06, max values: 42.416, median values: 0.27816, and quantile values: 0.25 0.08238\n0.50 0.27816\n0.75 1.02650\nName: 3102, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4507905749226415, std values: 4.84464786257105, min values: 3.2152e-06, max values: 38.815, median values: 0.21546, and quantile values: 0.25 0.067261\n0.50 0.215460\n0.75 0.689455\nName: 3103, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3115584988710693, std values: 5.000266793611605, min values: 2.06e-06, max values: 42.134, median values: 0.16553, and quantile values: 0.25 0.060597\n0.50 0.165530\n0.75 0.672930\nName: 3104, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3325376766669184, std values: 4.898898196920572, min values: 2.2704e-07, max values: 41.745, median values: 0.15704, and quantile values: 0.25 0.039565\n0.50 0.157040\n0.75 0.691310\nName: 3105, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3820277366687423, std values: 4.943460301782973, min values: 4.1533e-07, max values: 42.064, median values: 0.18986, and quantile values: 0.25 0.059619\n0.50 0.189860\n0.75 0.772390\nName: 3106, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4125849421798742, std values: 4.888509664456651, min values: 1.1504e-06, max values: 39.83, median values: 0.18721, and quantile values: 0.25 0.059689\n0.50 0.187210\n0.75 0.803870\nName: 3107, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5711607955572329, std values: 5.08124658363085, min values: 2.2293e-06, max values: 40.716, median values: 0.27123, and quantile values: 0.25 0.066552\n0.50 0.271230\n0.75 1.021410\nName: 3108, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.400070266701761, std values: 4.797117305444159, min values: 4.9898e-07, max values: 38.405, median values: 0.19135, and quantile values: 0.25 0.056474\n0.50 0.191350\n0.75 0.838850\nName: 3109, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4320673791062892, std values: 4.869589490455933, min values: 3.7815e-06, max values: 40.67, median values: 0.20599, and quantile values: 0.25 0.065388\n0.50 0.205990\n0.75 0.807110\nName: 3110, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4180437062779871, std values: 4.837690182992339, min values: 6.441e-07, max values: 38.7, median values: 0.23037, and quantile values: 0.25 0.059262\n0.50 0.230370\n0.75 0.875125\nName: 3111, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6484353402691823, std values: 4.998150726442294, min values: 2.2574e-06, max values: 39.559, median values: 0.28303, and quantile values: 0.25 0.078841\n0.50 0.283030\n0.75 1.122500\nName: 3112, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.502839920161195, std values: 4.930063687141138, min values: 7.2533e-07, max values: 40.861, median values: 0.25653, and quantile values: 0.25 0.070991\n0.50 0.256530\n0.75 0.955215\nName: 3113, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2715527249062264, std values: 4.803658242045657, min values: 5.1649e-07, max values: 39.841, median values: 0.1732, and quantile values: 0.25 0.054781\n0.50 0.173200\n0.75 0.621720\nName: 3114, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5527818341125788, std values: 5.024590427683418, min values: 3.719e-06, max values: 40.521, median values: 0.2289, and quantile values: 0.25 0.071473\n0.50 0.228900\n0.75 0.891925\nName: 3115, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4990815728357862, std values: 4.925856351786251, min values: 2.9159e-07, max values: 39.792, median values: 0.21154, and quantile values: 0.25 0.054073\n0.50 0.211540\n0.75 0.972120\nName: 3116, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6905128760691823, std values: 5.384938289662192, min values: 4.0184e-06, max values: 45.714, median values: 0.30712, and quantile values: 0.25 0.083614\n0.50 0.307120\n0.75 1.017050\nName: 3117, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7834374087968554, std values: 5.1789852606047075, min values: 4.8546e-06, max values: 39.947, median values: 0.32796, and quantile values: 0.25 0.089403\n0.50 0.327960\n0.75 1.193000\nName: 3118, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.396725836798113, std values: 4.842607619206837, min values: 1.523e-07, max values: 39.795, median values: 0.1828, and quantile values: 0.25 0.053644\n0.50 0.182800\n0.75 0.851960\nName: 3119, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4836483903339623, std values: 4.770782727155952, min values: 1.6593e-06, max values: 39.172, median values: 0.24394, and quantile values: 0.25 0.071469\n0.50 0.243940\n0.75 0.952150\nName: 3120, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.398958558927673, std values: 5.0588672455903145, min values: 2.5558e-06, max values: 41.023, median values: 0.20076, and quantile values: 0.25 0.051306\n0.50 0.200760\n0.75 0.754130\nName: 3121, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5048687991277985, std values: 4.832245020119789, min values: 6.5982e-07, max values: 38.297, median values: 0.24019, and quantile values: 0.25 0.065382\n0.50 0.240190\n0.75 0.936120\nName: 3122, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5798136606056603, std values: 4.893007970404217, min values: 2.472e-06, max values: 40.004, median values: 0.25671, and quantile values: 0.25 0.054755\n0.50 0.256710\n0.75 1.085400\nName: 3123, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.531880398645283, std values: 4.912938647855559, min values: 1.2872e-06, max values: 39.667, median values: 0.2568, and quantile values: 0.25 0.071290\n0.50 0.256800\n0.75 0.991795\nName: 3124, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4639996534462891, std values: 4.783514259523167, min values: 6.7496e-07, max values: 37.754, median values: 0.23595, and quantile values: 0.25 0.06287\n0.50 0.23595\n0.75 0.87056\nName: 3125, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.718128886879371, std values: 5.206976233050726, min values: 4.9952e-07, max values: 43.541, median values: 0.27399, and quantile values: 0.25 0.067771\n0.50 0.273990\n0.75 1.170150\nName: 3126, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6641273220415094, std values: 5.2597170605621395, min values: 1.1052e-06, max values: 44.491, median values: 0.27459, and quantile values: 0.25 0.070123\n0.50 0.274590\n0.75 1.100400\nName: 3127, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6823200611018867, std values: 5.1417073760278855, min values: 4.971e-06, max values: 40.498, median values: 0.28447, and quantile values: 0.25 0.078065\n0.50 0.284470\n0.75 1.018935\nName: 3128, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.416867204204843, std values: 4.853555258674757, min values: 3.4037e-07, max values: 39.63, median values: 0.19378, and quantile values: 0.25 0.050422\n0.50 0.193780\n0.75 0.845690\nName: 3129, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5848364152366041, std values: 5.002749683912883, min values: 2.5552e-07, max values: 41.219, median values: 0.27606, and quantile values: 0.25 0.069293\n0.50 0.276060\n0.75 1.017300\nName: 3130, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2957914109486162, std values: 4.941946595326907, min values: 4.3153e-07, max values: 41.89, median values: 0.1617, and quantile values: 0.25 0.045492\n0.50 0.161700\n0.75 0.708310\nName: 3131, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3243152018817612, std values: 4.817410314957907, min values: 1.021e-06, max values: 38.844, median values: 0.20365, and quantile values: 0.25 0.068907\n0.50 0.203650\n0.75 0.705005\nName: 3132, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3938199931855346, std values: 4.95011151594033, min values: 2.0561e-06, max values: 40.054, median values: 0.22133, and quantile values: 0.25 0.058262\n0.50 0.221330\n0.75 0.825355\nName: 3133, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.405016447474843, std values: 4.950595094560832, min values: 1.9551e-06, max values: 40.21, median values: 0.19993, and quantile values: 0.25 0.057657\n0.50 0.199930\n0.75 0.813205\nName: 3134, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.169268655981132, std values: 4.717607033222801, min values: 1.2407e-06, max values: 38.667, median values: 0.13206, and quantile values: 0.25 0.041881\n0.50 0.132060\n0.75 0.545020\nName: 3135, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3746200808980504, std values: 4.770655976469138, min values: 3.5019e-07, max values: 38.745, median values: 0.18435, and quantile values: 0.25 0.052878\n0.50 0.184350\n0.75 0.783140\nName: 3136, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4776728446031446, std values: 4.970653447229998, min values: 2.8262e-06, max values: 39.993, median values: 0.21711, and quantile values: 0.25 0.074217\n0.50 0.217110\n0.75 0.834260\nName: 3137, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6229669330855345, std values: 5.057439896149863, min values: 1.749e-06, max values: 40.324, median values: 0.22646, and quantile values: 0.25 0.066923\n0.50 0.226460\n0.75 1.091100\nName: 3138, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4345048273433962, std values: 4.986481682300978, min values: 1.3889e-06, max values: 41.25, median values: 0.19227, and quantile values: 0.25 0.057741\n0.50 0.192270\n0.75 0.803155\nName: 3139, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6703758094138366, std values: 5.040839990257132, min values: 9.677e-07, max values: 40.172, median values: 0.27079, and quantile values: 0.25 0.071682\n0.50 0.270790\n0.75 1.156650\nName: 3140, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.386017468674214, std values: 4.856547723868465, min values: 1.4574e-06, max values: 38.987, median values: 0.19153, and quantile values: 0.25 0.052891\n0.50 0.191530\n0.75 0.752215\nName: 3141, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4072764463905032, std values: 4.755947358064388, min values: 8.6099e-07, max values: 38.644, median values: 0.22744, and quantile values: 0.25 0.058423\n0.50 0.227440\n0.75 0.851405\nName: 3142, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4262917185216353, std values: 4.979780460444531, min values: 3.2184e-07, max values: 42.045, median values: 0.19859, and quantile values: 0.25 0.060103\n0.50 0.198590\n0.75 0.846300\nName: 3143, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3964620308245284, std values: 4.9635868362896245, min values: 2.0347e-06, max values: 40.753, median values: 0.15304, and quantile values: 0.25 0.045815\n0.50 0.153040\n0.75 0.734345\nName: 3144, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4928696629496228, std values: 4.830684470577507, min values: 0.0, max values: 38.628, median values: 0.23129, and quantile values: 0.25 0.054971\n0.50 0.231290\n0.75 0.874015\nName: 3145, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4599704409650944, std values: 4.915338535213579, min values: 3.0065e-07, max values: 40.711, median values: 0.24981, and quantile values: 0.25 0.063582\n0.50 0.249810\n0.75 0.891075\nName: 3146, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6168093474251575, std values: 4.964875471818135, min values: 2.4838e-06, max values: 39.055, median values: 0.24156, and quantile values: 0.25 0.074372\n0.50 0.241560\n0.75 1.050565\nName: 3147, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.576802785638994, std values: 5.077709443508623, min values: 2.5212e-06, max values: 41.097, median values: 0.26665, and quantile values: 0.25 0.072494\n0.50 0.266650\n0.75 0.970310\nName: 3148, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2565400964628928, std values: 4.519271351112654, min values: 2.3092e-06, max values: 39.283, median values: 0.16388, and quantile values: 0.25 0.054925\n0.50 0.163880\n0.75 0.695510\nName: 3149, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5605342798155977, std values: 4.99993213886928, min values: 9.7278e-07, max values: 40.896, median values: 0.27617, and quantile values: 0.25 0.064948\n0.50 0.276170\n0.75 1.002930\nName: 3150, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.332582792648063, std values: 4.825323000268091, min values: 1.5536e-08, max values: 41.877, median values: 0.12993, and quantile values: 0.25 0.024773\n0.50 0.129930\n0.75 0.708180\nName: 3151, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5740374999169808, std values: 5.12991475115683, min values: 3.6113e-06, max values: 41.642, median values: 0.24285, and quantile values: 0.25 0.076353\n0.50 0.242850\n0.75 0.912785\nName: 3152, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5173460869792454, std values: 5.044896791554415, min values: 1.2978e-06, max values: 42.106, median values: 0.21488, and quantile values: 0.25 0.060260\n0.50 0.214880\n0.75 0.938325\nName: 3153, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6186230703716982, std values: 5.038352030368639, min values: 4.6749e-06, max values: 40.338, median values: 0.28864, and quantile values: 0.25 0.072333\n0.50 0.288640\n0.75 1.040500\nName: 3154, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8301624091685536, std values: 5.394573983762756, min values: 7.2758e-06, max values: 41.533, median values: 0.31243, and quantile values: 0.25 0.082511\n0.50 0.312430\n0.75 1.092200\nName: 3155, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4554673417138364, std values: 5.081542045675123, min values: 1.5366e-06, max values: 42.294, median values: 0.22801, and quantile values: 0.25 0.060364\n0.50 0.228010\n0.75 0.843120\nName: 3156, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.302554944098044, std values: 4.7095084399380065, min values: 9.0349e-08, max values: 39.135, median values: 0.14919, and quantile values: 0.25 0.035549\n0.50 0.149190\n0.75 0.687985\nName: 3157, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.465495366062893, std values: 4.914508657659913, min values: 1.4679e-06, max values: 39.529, median values: 0.23638, and quantile values: 0.25 0.059763\n0.50 0.236380\n0.75 0.898205\nName: 3158, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.683864096273585, std values: 5.213311564080415, min values: 2.7556e-06, max values: 42.96, median values: 0.28252, and quantile values: 0.25 0.075207\n0.50 0.282520\n0.75 1.129700\nName: 3159, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5080747462018866, std values: 5.012366772027028, min values: 3.4517e-06, max values: 40.2, median values: 0.22186, and quantile values: 0.25 0.06700\n0.50 0.22186\n0.75 0.89616\nName: 3160, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3746435465329871, std values: 4.741981092382688, min values: 1.8679e-08, max values: 39.214, median values: 0.17129, and quantile values: 0.25 0.037192\n0.50 0.171290\n0.75 0.721435\nName: 3161, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2949401424314466, std values: 5.052194995765809, min values: 2.845e-06, max values: 41.538, median values: 0.16609, and quantile values: 0.25 0.049003\n0.50 0.166090\n0.75 0.611975\nName: 3162, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7173833020327047, std values: 5.229871830902274, min values: 3.4213e-06, max values: 42.398, median values: 0.26947, and quantile values: 0.25 0.086547\n0.50 0.269470\n0.75 1.129750\nName: 3163, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7984659529716978, std values: 5.083786140795885, min values: 7.4235e-06, max values: 40.341, median values: 0.34823, and quantile values: 0.25 0.09203\n0.50 0.34823\n0.75 1.26860\nName: 3164, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3915214228509436, std values: 4.792545519820511, min values: 1.4911e-06, max values: 38.959, median values: 0.19203, and quantile values: 0.25 0.061999\n0.50 0.192030\n0.75 0.781065\nName: 3165, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.614365837198113, std values: 5.20393949927931, min values: 1.4097e-06, max values: 43.498, median values: 0.23454, and quantile values: 0.25 0.065519\n0.50 0.234540\n0.75 1.044850\nName: 3166, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6314543228654088, std values: 5.132856251255067, min values: 2.8109e-06, max values: 40.5, median values: 0.26947, and quantile values: 0.25 0.075268\n0.50 0.269470\n0.75 1.001770\nName: 3167, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4009781582779874, std values: 4.80346894012741, min values: 1.082e-06, max values: 38.591, median values: 0.23133, and quantile values: 0.25 0.054295\n0.50 0.231330\n0.75 0.781425\nName: 3168, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.352567041801195, std values: 4.522061125022734, min values: 2.0569e-07, max values: 37.313, median values: 0.17214, and quantile values: 0.25 0.053327\n0.50 0.172140\n0.75 0.822525\nName: 3169, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6771340425201258, std values: 5.121458276462589, min values: 3.8294e-06, max values: 41.102, median values: 0.3028, and quantile values: 0.25 0.070132\n0.50 0.302800\n0.75 1.053150\nName: 3170, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5496448433691823, std values: 5.140828010533005, min values: 2.9032e-06, max values: 42.062, median values: 0.26144, and quantile values: 0.25 0.069829\n0.50 0.261440\n0.75 0.962625\nName: 3171, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.258449752544327, std values: 4.557941190286491, min values: 9.8148e-08, max values: 36.713, median values: 0.16004, and quantile values: 0.25 0.041276\n0.50 0.160040\n0.75 0.646625\nName: 3172, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4751285510358492, std values: 4.999059885471971, min values: 2.5202e-06, max values: 40.153, median values: 0.21618, and quantile values: 0.25 0.065290\n0.50 0.216180\n0.75 0.853755\nName: 3173, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.320877313785472, std values: 4.874696218152266, min values: 3.6137e-07, max values: 40.929, median values: 0.18413, and quantile values: 0.25 0.054236\n0.50 0.184130\n0.75 0.698335\nName: 3174, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.731360769601258, std values: 4.988711073597736, min values: 3.243e-06, max values: 39.452, median values: 0.32227, and quantile values: 0.25 0.086282\n0.50 0.322270\n0.75 1.246900\nName: 3175, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4420448003770376, std values: 4.847197305315402, min values: 9.2149e-08, max values: 39.832, median values: 0.21004, and quantile values: 0.25 0.054636\n0.50 0.210040\n0.75 0.849235\nName: 3176, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6837280782459119, std values: 5.130692432048364, min values: 1.4373e-06, max values: 42.415, median values: 0.26993, and quantile values: 0.25 0.077571\n0.50 0.269930\n0.75 1.112350\nName: 3177, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.446901412446541, std values: 4.806318520681794, min values: 3.159e-06, max values: 39.339, median values: 0.23399, and quantile values: 0.25 0.07169\n0.50 0.23399\n0.75 0.89367\nName: 3178, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6024412125451952, std values: 5.174150446283447, min values: 6.5706e-08, max values: 44.932, median values: 0.20257, and quantile values: 0.25 0.052899\n0.50 0.202570\n0.75 1.010470\nName: 3179, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.617387235661635, std values: 5.0269709795967055, min values: 6.6648e-06, max values: 40.542, median values: 0.27046, and quantile values: 0.25 0.085282\n0.50 0.270460\n0.75 0.940585\nName: 3180, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6258732970113208, std values: 5.008989439718477, min values: 2.2042e-06, max values: 39.677, median values: 0.27356, and quantile values: 0.25 0.082929\n0.50 0.273560\n0.75 1.127150\nName: 3181, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6587907035314464, std values: 5.2683947299801615, min values: 2.1276e-06, max values: 44.248, median values: 0.2612, and quantile values: 0.25 0.068089\n0.50 0.261200\n0.75 1.090050\nName: 3182, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.231956016093459, std values: 4.462897189497661, min values: 3.5077e-07, max values: 37.197, median values: 0.16293, and quantile values: 0.25 0.045710\n0.50 0.162930\n0.75 0.676425\nName: 3183, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5308525658646541, std values: 4.875050588220786, min values: 3.497e-08, max values: 39.813, median values: 0.21881, and quantile values: 0.25 0.052073\n0.50 0.218810\n0.75 1.059600\nName: 3184, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7262869168075474, std values: 5.472427828718814, min values: 6.3424e-06, max values: 45.743, median values: 0.2541, and quantile values: 0.25 0.082219\n0.50 0.254100\n0.75 1.018850\nName: 3185, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5005119946632706, std values: 4.964616482734054, min values: 3.4896e-07, max values: 41.705, median values: 0.24262, and quantile values: 0.25 0.061455\n0.50 0.242620\n0.75 0.926090\nName: 3186, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5286403602430818, std values: 4.860045716709273, min values: 7.3205e-07, max values: 38.987, median values: 0.26131, and quantile values: 0.25 0.06722\n0.50 0.26131\n0.75 1.00786\nName: 3187, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7883199478925156, std values: 5.329293194953764, min values: 8.0261e-07, max values: 45.774, median values: 0.27706, and quantile values: 0.25 0.079474\n0.50 0.277060\n0.75 1.262100\nName: 3188, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2991005545004843, std values: 4.678987008812453, min values: 2.0377e-08, max values: 37.991, median values: 0.1833, and quantile values: 0.25 0.045511\n0.50 0.183300\n0.75 0.678805\nName: 3189, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4719389334809183, std values: 4.697244751270064, min values: 2.8756e-08, max values: 37.385, median values: 0.20327, and quantile values: 0.25 0.052152\n0.50 0.203270\n0.75 0.974035\nName: 3190, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.584199800981132, std values: 5.153855570442786, min values: 2.6105e-06, max values: 42.494, median values: 0.25966, and quantile values: 0.25 0.070577\n0.50 0.259660\n0.75 0.946960\nName: 3191, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5410520257974842, std values: 5.019306619163499, min values: 2.1242e-06, max values: 41.122, median values: 0.24835, and quantile values: 0.25 0.072678\n0.50 0.248350\n0.75 0.964120\nName: 3192, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5988929800389875, std values: 4.94131682244121, min values: 2.8399e-08, max values: 39.821, median values: 0.25278, and quantile values: 0.25 0.065942\n0.50 0.252780\n0.75 1.105500\nName: 3193, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6317942723245282, std values: 5.1804733587180705, min values: 3.302e-06, max values: 41.884, median values: 0.26549, and quantile values: 0.25 0.071445\n0.50 0.265490\n0.75 1.032515\nName: 3194, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.33440514120522, std values: 4.720173240068714, min values: 9.1423e-07, max values: 38.191, median values: 0.18114, and quantile values: 0.25 0.051887\n0.50 0.181140\n0.75 0.716930\nName: 3195, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.741907354727673, std values: 4.982684667695983, min values: 1.4492e-06, max values: 38.677, median values: 0.3024, and quantile values: 0.25 0.085092\n0.50 0.302400\n0.75 1.202200\nName: 3196, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3480442545983649, std values: 4.853186450893968, min values: 4.3284e-07, max values: 40.394, median values: 0.17266, and quantile values: 0.25 0.048923\n0.50 0.172660\n0.75 0.727770\nName: 3197, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4321146317067295, std values: 4.852555801740937, min values: 7.4707e-07, max values: 39.555, median values: 0.21519, and quantile values: 0.25 0.060370\n0.50 0.215190\n0.75 0.864815\nName: 3198, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6522979793584907, std values: 4.863121454925766, min values: 1.5548e-06, max values: 38.927, median values: 0.26157, and quantile values: 0.25 0.080403\n0.50 0.261570\n0.75 1.197600\nName: 3199, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6230866663322012, std values: 5.17134945064579, min values: 8.4912e-07, max values: 44.01, median values: 0.26874, and quantile values: 0.25 0.062365\n0.50 0.268740\n0.75 0.988240\nName: 3200, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3428135984676226, std values: 4.664210162539384, min values: 8.7052e-08, max values: 36.914, median values: 0.18727, and quantile values: 0.25 0.053549\n0.50 0.187270\n0.75 0.774915\nName: 3201, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4026209040031448, std values: 5.062525320780935, min values: 1.511e-06, max values: 42.328, median values: 0.20361, and quantile values: 0.25 0.053027\n0.50 0.203610\n0.75 0.798945\nName: 3202, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2800062664259748, std values: 4.921431359764783, min values: 1.9283e-07, max values: 41.443, median values: 0.13441, and quantile values: 0.25 0.042294\n0.50 0.134410\n0.75 0.704795\nName: 3203, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4821985172398742, std values: 4.925186395408069, min values: 5.0774e-07, max values: 40.483, median values: 0.22006, and quantile values: 0.25 0.058022\n0.50 0.220060\n0.75 0.910495\nName: 3204, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2619333637169812, std values: 4.580935785907553, min values: 1.2169e-06, max values: 39.098, median values: 0.16282, and quantile values: 0.25 0.049281\n0.50 0.162820\n0.75 0.661405\nName: 3205, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5832372338258491, std values: 5.0931201989389265, min values: 6.1911e-07, max values: 42.392, median values: 0.25431, and quantile values: 0.25 0.066401\n0.50 0.254310\n0.75 0.982620\nName: 3206, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4589472714993712, std values: 5.124918292494738, min values: 1.5438e-06, max values: 44.088, median values: 0.22344, and quantile values: 0.25 0.062774\n0.50 0.223440\n0.75 0.819560\nName: 3207, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4393239022132074, std values: 4.940832032378325, min values: 1.5021e-06, max values: 39.674, median values: 0.20236, and quantile values: 0.25 0.056749\n0.50 0.202360\n0.75 0.913110\nName: 3208, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2356283659676102, std values: 4.622757801132396, min values: 1.5279e-07, max values: 37.078, median values: 0.15075, and quantile values: 0.25 0.034874\n0.50 0.150750\n0.75 0.634725\nName: 3209, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.571169890080755, std values: 4.929328429000396, min values: 8.9454e-07, max values: 39.062, median values: 0.22783, and quantile values: 0.25 0.070303\n0.50 0.227830\n0.75 1.050600\nName: 3210, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6043225992503147, std values: 5.058438869032788, min values: 1.8309e-06, max values: 40.984, median values: 0.25607, and quantile values: 0.25 0.065465\n0.50 0.256070\n0.75 0.978240\nName: 3211, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.0844409526490564, std values: 5.938801447202414, min values: 3.0993e-06, max values: 52.537, median values: 0.36502, and quantile values: 0.25 0.099243\n0.50 0.365020\n0.75 1.516750\nName: 3212, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4174097689737106, std values: 4.705617678949009, min values: 6.1982e-07, max values: 38.174, median values: 0.22071, and quantile values: 0.25 0.059846\n0.50 0.220710\n0.75 0.844565\nName: 3213, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3683447861396227, std values: 4.766706711044148, min values: 1.0122e-06, max values: 38.264, median values: 0.20102, and quantile values: 0.25 0.057894\n0.50 0.201020\n0.75 0.758515\nName: 3214, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4063936690785535, std values: 4.774311878371255, min values: 1.9158e-07, max values: 38.672, median values: 0.21829, and quantile values: 0.25 0.050627\n0.50 0.218290\n0.75 0.836430\nName: 3215, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3918639441610066, std values: 4.955160733223352, min values: 1.826e-06, max values: 39.779, median values: 0.20881, and quantile values: 0.25 0.058217\n0.50 0.208810\n0.75 0.766270\nName: 3216, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2980360355866414, std values: 4.594598300718716, min values: 1.4746e-08, max values: 36.826, median values: 0.1466, and quantile values: 0.25 0.034998\n0.50 0.146600\n0.75 0.695535\nName: 3217, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.463062522753459, std values: 4.996970919063607, min values: 3.1939e-06, max values: 40.384, median values: 0.21909, and quantile values: 0.25 0.070500\n0.50 0.219090\n0.75 0.826565\nName: 3218, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.395705915021572, std values: 4.693760074283992, min values: 3.8563e-07, max values: 37.308, median values: 0.19658, and quantile values: 0.25 0.056048\n0.50 0.196580\n0.75 0.795920\nName: 3219, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4223874797212328, std values: 4.972234574513044, min values: 3.1116e-08, max values: 42.965, median values: 0.1772, and quantile values: 0.25 0.044415\n0.50 0.177200\n0.75 0.769845\nName: 3220, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.532011904573585, std values: 4.673238499647427, min values: 2.0254e-06, max values: 38.522, median values: 0.26155, and quantile values: 0.25 0.075665\n0.50 0.261550\n0.75 1.039450\nName: 3221, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2956650423408804, std values: 4.664140023632743, min values: 1.2607e-06, max values: 39.304, median values: 0.17987, and quantile values: 0.25 0.053825\n0.50 0.179870\n0.75 0.776890\nName: 3222, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.774777491446541, std values: 5.145184359302823, min values: 5.0984e-06, max values: 40.459, median values: 0.35631, and quantile values: 0.25 0.087041\n0.50 0.356310\n0.75 1.121500\nName: 3223, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4559716903071698, std values: 4.926883632861147, min values: 9.7674e-07, max values: 39.398, median values: 0.19316, and quantile values: 0.25 0.05397\n0.50 0.19316\n0.75 0.90053\nName: 3224, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.672707941466038, std values: 5.063080115450163, min values: 1.533e-06, max values: 40.024, median values: 0.26764, and quantile values: 0.25 0.075062\n0.50 0.267640\n0.75 1.153550\nName: 3225, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4664244291132078, std values: 4.822666481463901, min values: 1.1437e-06, max values: 39.588, median values: 0.21174, and quantile values: 0.25 0.061503\n0.50 0.211740\n0.75 0.873510\nName: 3226, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.735814634310692, std values: 4.9726877609978315, min values: 3.5255e-06, max values: 39.913, median values: 0.28767, and quantile values: 0.25 0.086723\n0.50 0.287670\n0.75 1.222600\nName: 3227, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1568020226433962, std values: 4.5624052247689795, min values: 1.2038e-06, max values: 38.824, median values: 0.137, and quantile values: 0.25 0.044523\n0.50 0.137000\n0.75 0.550735\nName: 3228, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.545416877154717, std values: 5.210607790415915, min values: 1.9384e-06, max values: 44.516, median values: 0.24679, and quantile values: 0.25 0.070554\n0.50 0.246790\n0.75 0.912635\nName: 3229, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6278931179660379, std values: 5.139466464145656, min values: 6.0321e-06, max values: 40.292, median values: 0.281, and quantile values: 0.25 0.081177\n0.50 0.281000\n0.75 0.972095\nName: 3230, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3343842588062895, std values: 5.175346670055999, min values: 1.2661e-06, max values: 45.165, median values: 0.16856, and quantile values: 0.25 0.051344\n0.50 0.168560\n0.75 0.740560\nName: 3231, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.594467500263522, std values: 5.009150031139405, min values: 2.2023e-06, max values: 39.79, median values: 0.26413, and quantile values: 0.25 0.072756\n0.50 0.264130\n0.75 1.031755\nName: 3232, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.309829113908742, std values: 4.883810307547217, min values: 2.7109e-07, max values: 39.513, median values: 0.15814, and quantile values: 0.25 0.042191\n0.50 0.158140\n0.75 0.734560\nName: 3233, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3567493327097484, std values: 4.751355009346043, min values: 6.1095e-07, max values: 38.247, median values: 0.20281, and quantile values: 0.25 0.058064\n0.50 0.202810\n0.75 0.764975\nName: 3234, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4420855597699371, std values: 4.967659071728921, min values: 6.9422e-07, max values: 40.675, median values: 0.22873, and quantile values: 0.25 0.056896\n0.50 0.228730\n0.75 0.752670\nName: 3235, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5300322193645282, std values: 4.948335249221784, min values: 7.7876e-07, max values: 40.498, median values: 0.25958, and quantile values: 0.25 0.066621\n0.50 0.259580\n0.75 1.010580\nName: 3236, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7411090120603772, std values: 5.279015483130549, min values: 1.687e-06, max values: 43.318, median values: 0.28269, and quantile values: 0.25 0.073501\n0.50 0.282690\n0.75 1.246600\nName: 3237, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7239669060155978, std values: 5.0584905947038985, min values: 4.4208e-07, max values: 40.251, median values: 0.27935, and quantile values: 0.25 0.070925\n0.50 0.279350\n0.75 1.217500\nName: 3238, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6767695230622643, std values: 5.248124326539738, min values: 1.0466e-06, max values: 44.525, median values: 0.27077, and quantile values: 0.25 0.077345\n0.50 0.270770\n0.75 1.090150\nName: 3239, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2622073808055094, std values: 4.71602382450857, min values: 2.8056e-08, max values: 38.915, median values: 0.17632, and quantile values: 0.25 0.040954\n0.50 0.176320\n0.75 0.667985\nName: 3240, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.48203798400544, std values: 4.730395410326187, min values: 3.0905e-08, max values: 37.659, median values: 0.22473, and quantile values: 0.25 0.050091\n0.50 0.224730\n0.75 0.908785\nName: 3241, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5118103525666666, std values: 4.979138031255057, min values: 2.1228e-06, max values: 39.819, median values: 0.2479, and quantile values: 0.25 0.066812\n0.50 0.247900\n0.75 0.913740\nName: 3242, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3360491025754717, std values: 4.705781402716737, min values: 1.9928e-06, max values: 38.167, median values: 0.19379, and quantile values: 0.25 0.056882\n0.50 0.193790\n0.75 0.718190\nName: 3243, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.499995275608805, std values: 5.076301011827406, min values: 1.9984e-06, max values: 41.49, median values: 0.21318, and quantile values: 0.25 0.064369\n0.50 0.213180\n0.75 0.897075\nName: 3244, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2852530046477484, std values: 4.712039528959913, min values: 9.5422e-08, max values: 38.458, median values: 0.17684, and quantile values: 0.25 0.039245\n0.50 0.176840\n0.75 0.664985\nName: 3245, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6216165862037735, std values: 4.983822943812953, min values: 3.5267e-06, max values: 39.735, median values: 0.31939, and quantile values: 0.25 0.082814\n0.50 0.319390\n0.75 1.040550\nName: 3246, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.372563849099371, std values: 4.8095149601754, min values: 1.7341e-06, max values: 40.44, median values: 0.19511, and quantile values: 0.25 0.052929\n0.50 0.195110\n0.75 0.784335\nName: 3247, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2811631783481758, std values: 4.775184737451378, min values: 2.9616e-07, max values: 38.843, median values: 0.1827, and quantile values: 0.25 0.048008\n0.50 0.182700\n0.75 0.703415\nName: 3248, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5244629151528932, std values: 5.1164313480189, min values: 3.2526e-07, max values: 44.621, median values: 0.22624, and quantile values: 0.25 0.053562\n0.50 0.226240\n0.75 0.863385\nName: 3249, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4917642513125784, std values: 5.102502427247871, min values: 1.4926e-06, max values: 42.672, median values: 0.22965, and quantile values: 0.25 0.063611\n0.50 0.229650\n0.75 0.963180\nName: 3250, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5159162417654088, std values: 5.00529152759099, min values: 3.7962e-06, max values: 39.936, median values: 0.24639, and quantile values: 0.25 0.073927\n0.50 0.246390\n0.75 0.854810\nName: 3251, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5656373833389936, std values: 5.026378758921878, min values: 1.429e-06, max values: 41.105, median values: 0.25341, and quantile values: 0.25 0.069882\n0.50 0.253410\n0.75 0.919850\nName: 3252, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6475621782672953, std values: 5.221040571255816, min values: 2.2541e-06, max values: 43.451, median values: 0.2978, and quantile values: 0.25 0.081408\n0.50 0.297800\n0.75 1.044100\nName: 3253, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2214128241922013, std values: 4.748289974673404, min values: 9.0856e-07, max values: 39.077, median values: 0.13176, and quantile values: 0.25 0.047632\n0.50 0.131760\n0.75 0.666845\nName: 3254, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3903646309503144, std values: 5.006304170435589, min values: 2.7044e-06, max values: 40.847, median values: 0.18002, and quantile values: 0.25 0.062614\n0.50 0.180020\n0.75 0.717750\nName: 3255, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.346989055908805, std values: 4.825524976828077, min values: 6.14e-07, max values: 39.819, median values: 0.17483, and quantile values: 0.25 0.047483\n0.50 0.174830\n0.75 0.746725\nName: 3256, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4467182466720754, std values: 5.008247850258085, min values: 8.3706e-07, max values: 41.671, median values: 0.20967, and quantile values: 0.25 0.058349\n0.50 0.209670\n0.75 0.800785\nName: 3257, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5710161895654087, std values: 5.029428689554055, min values: 3.5135e-06, max values: 40.119, median values: 0.24989, and quantile values: 0.25 0.077054\n0.50 0.249890\n0.75 0.969965\nName: 3258, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4267154821032075, std values: 4.947146890638343, min values: 7.8151e-07, max values: 40.893, median values: 0.21406, and quantile values: 0.25 0.057881\n0.50 0.214060\n0.75 0.868550\nName: 3259, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5903277746522013, std values: 5.056274217733482, min values: 4.4792e-06, max values: 39.903, median values: 0.26106, and quantile values: 0.25 0.077956\n0.50 0.261060\n0.75 0.923530\nName: 3260, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5934961708050313, std values: 5.008676457287323, min values: 5.1995e-06, max values: 40.532, median values: 0.26817, and quantile values: 0.25 0.074539\n0.50 0.268170\n0.75 0.961895\nName: 3261, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.454365237355912, std values: 4.7466334528924445, min values: 9.1259e-07, max values: 37.936, median values: 0.22973, and quantile values: 0.25 0.06253\n0.50 0.22973\n0.75 0.88360\nName: 3262, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4842836664513208, std values: 4.942290970391681, min values: 7.8936e-07, max values: 40.603, median values: 0.2205, and quantile values: 0.25 0.05889\n0.50 0.22050\n0.75 0.88429\nName: 3263, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6956881756182391, std values: 4.945502254850176, min values: 4.5229e-06, max values: 39.673, median values: 0.31376, and quantile values: 0.25 0.077117\n0.50 0.313760\n0.75 1.143800\nName: 3264, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.629995630274214, std values: 5.20598085920787, min values: 3.8532e-06, max values: 42.3, median values: 0.24279, and quantile values: 0.25 0.082473\n0.50 0.242790\n0.75 0.981435\nName: 3265, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.494582954938239, std values: 4.803453920144985, min values: 8.8608e-07, max values: 38.401, median values: 0.2521, and quantile values: 0.25 0.071753\n0.50 0.252100\n0.75 0.936975\nName: 3266, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3287782747981132, std values: 4.601705220324047, min values: 6.002e-07, max values: 38.071, median values: 0.15194, and quantile values: 0.25 0.048399\n0.50 0.151940\n0.75 0.722595\nName: 3267, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6223826052982389, std values: 4.950813788299105, min values: 5.6332e-07, max values: 39.549, median values: 0.28375, and quantile values: 0.25 0.068796\n0.50 0.283750\n0.75 1.041650\nName: 3268, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2356896563559747, std values: 4.668610449627962, min values: 1.5396e-06, max values: 38.748, median values: 0.16327, and quantile values: 0.25 0.050517\n0.50 0.163270\n0.75 0.627345\nName: 3269, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3025924743622643, std values: 4.545845643449361, min values: 1.6027e-06, max values: 39.025, median values: 0.20181, and quantile values: 0.25 0.052989\n0.50 0.201810\n0.75 0.735525\nName: 3270, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2898701333340252, std values: 4.904888807311262, min values: 3.3871e-07, max values: 41.788, median values: 0.15611, and quantile values: 0.25 0.044608\n0.50 0.156110\n0.75 0.675825\nName: 3271, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.372120240057673, std values: 4.6601431600696825, min values: 3.9077e-07, max values: 38.254, median values: 0.17935, and quantile values: 0.25 0.056122\n0.50 0.179350\n0.75 0.800735\nName: 3272, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4246034868138366, std values: 5.116042475737691, min values: 2.4913e-06, max values: 43.647, median values: 0.2073, and quantile values: 0.25 0.064812\n0.50 0.207300\n0.75 0.804620\nName: 3273, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3088006246625785, std values: 4.643030938611743, min values: 5.5755e-07, max values: 37.735, median values: 0.17603, and quantile values: 0.25 0.049827\n0.50 0.176030\n0.75 0.746075\nName: 3274, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3214550597278618, std values: 4.746361758205695, min values: 3.6053e-07, max values: 38.047, median values: 0.18836, and quantile values: 0.25 0.049703\n0.50 0.188360\n0.75 0.779700\nName: 3275, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.446633481172264, std values: 4.75606228688944, min values: 9.2669e-07, max values: 37.817, median values: 0.22887, and quantile values: 0.25 0.062833\n0.50 0.228870\n0.75 0.926855\nName: 3276, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5328351937792453, std values: 4.756668503643676, min values: 2.4984e-06, max values: 38.719, median values: 0.27417, and quantile values: 0.25 0.077111\n0.50 0.274170\n0.75 0.959380\nName: 3277, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.395995627495327, std values: 4.767016439240122, min values: 2.1517e-08, max values: 38.263, median values: 0.15101, and quantile values: 0.25 0.039753\n0.50 0.151010\n0.75 0.766480\nName: 3278, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3198629034317295, std values: 4.939945081782848, min values: 2.5945e-08, max values: 42.348, median values: 0.1727, and quantile values: 0.25 0.046311\n0.50 0.172700\n0.75 0.734095\nName: 3279, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5784486267289308, std values: 4.955978992664373, min values: 1.0355e-06, max values: 39.497, median values: 0.23201, and quantile values: 0.25 0.071584\n0.50 0.232010\n0.75 0.966505\nName: 3280, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.542489467583019, std values: 5.149653798896509, min values: 2.6478e-06, max values: 42.489, median values: 0.26447, and quantile values: 0.25 0.079391\n0.50 0.264470\n0.75 0.879385\nName: 3281, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4850256617103772, std values: 5.021294451507815, min values: 7.0175e-07, max values: 42.309, median values: 0.21205, and quantile values: 0.25 0.059594\n0.50 0.212050\n0.75 0.893040\nName: 3282, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.430468929418868, std values: 4.952371537213988, min values: 6.259e-07, max values: 40.726, median values: 0.20592, and quantile values: 0.25 0.061283\n0.50 0.205920\n0.75 0.826145\nName: 3283, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 0.9417286923893711, std values: 5.117058627194872, min values: 5.9701e-07, max values: 46.148, median values: 0.046465, and quantile values: 0.25 0.012084\n0.50 0.046465\n0.75 0.181060\nName: 3284, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.69052718400566, std values: 5.155133995748428, min values: 2.973e-06, max values: 41.242, median values: 0.28308, and quantile values: 0.25 0.080503\n0.50 0.283080\n0.75 1.134950\nName: 3285, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3653451795188303, std values: 4.889310116451457, min values: 1.8794e-08, max values: 40.694, median values: 0.17408, and quantile values: 0.25 0.04542\n0.50 0.17408\n0.75 0.71772\nName: 3286, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3870470792087422, std values: 4.68654491458607, min values: 2.6169e-07, max values: 37.515, median values: 0.17521, and quantile values: 0.25 0.051301\n0.50 0.175210\n0.75 0.778860\nName: 3287, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3144348309940252, std values: 4.945011205319714, min values: 2.6321e-07, max values: 42.359, median values: 0.15708, and quantile values: 0.25 0.037893\n0.50 0.157080\n0.75 0.666720\nName: 3288, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2882541816131448, std values: 4.798105809810266, min values: 3.7299e-07, max values: 39.413, median values: 0.14773, and quantile values: 0.25 0.046521\n0.50 0.147730\n0.75 0.669920\nName: 3289, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4610507236226415, std values: 5.042673992561876, min values: 1.0363e-06, max values: 42.056, median values: 0.18516, and quantile values: 0.25 0.060365\n0.50 0.185160\n0.75 0.860945\nName: 3290, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5444536744628932, std values: 4.993282445066296, min values: 2.1576e-06, max values: 40.257, median values: 0.27244, and quantile values: 0.25 0.074474\n0.50 0.272440\n0.75 0.925185\nName: 3291, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.315202406035912, std values: 4.433219747432409, min values: 0.0, max values: 37.005, median values: 0.184, and quantile values: 0.25 0.057184\n0.50 0.184000\n0.75 0.723275\nName: 3292, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9063505904308178, std values: 5.504945651753272, min values: 5.7416e-06, max values: 44.281, median values: 0.32808, and quantile values: 0.25 0.091257\n0.50 0.328080\n0.75 1.277700\nName: 3293, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.496579560091824, std values: 5.016702502597122, min values: 2.0413e-06, max values: 41.127, median values: 0.25821, and quantile values: 0.25 0.070605\n0.50 0.258210\n0.75 0.919920\nName: 3294, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5000680426849058, std values: 4.902942649365879, min values: 3.3631e-06, max values: 40.362, median values: 0.21772, and quantile values: 0.25 0.066507\n0.50 0.217720\n0.75 0.856655\nName: 3295, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2709569295849057, std values: 4.8906532808559815, min values: 1.998e-06, max values: 40.321, median values: 0.18636, and quantile values: 0.25 0.053714\n0.50 0.186360\n0.75 0.616595\nName: 3296, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3762341695672955, std values: 4.812571581938171, min values: 9.244e-07, max values: 38.87, median values: 0.1766, and quantile values: 0.25 0.052594\n0.50 0.176600\n0.75 0.765480\nName: 3297, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5445593119433962, std values: 5.071866628476347, min values: 3.4324e-06, max values: 41.155, median values: 0.24201, and quantile values: 0.25 0.071606\n0.50 0.242010\n0.75 0.903375\nName: 3298, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.365537973945912, std values: 4.923280142847903, min values: 3.5138e-06, max values: 40.706, median values: 0.19206, and quantile values: 0.25 0.058102\n0.50 0.192060\n0.75 0.679755\nName: 3299, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4539104529937108, std values: 5.010905529603232, min values: 4.799e-07, max values: 42.128, median values: 0.19701, and quantile values: 0.25 0.051058\n0.50 0.197010\n0.75 0.840560\nName: 3300, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4580277581690566, std values: 4.907147928256353, min values: 4.3738e-07, max values: 39.452, median values: 0.23164, and quantile values: 0.25 0.059585\n0.50 0.231640\n0.75 0.919530\nName: 3301, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2865694377245285, std values: 4.710548319269491, min values: 1.205e-06, max values: 38.177, median values: 0.19012, and quantile values: 0.25 0.05700\n0.50 0.19012\n0.75 0.68929\nName: 3302, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4567665038150943, std values: 4.973978957121444, min values: 2.054e-06, max values: 40.562, median values: 0.23292, and quantile values: 0.25 0.064835\n0.50 0.232920\n0.75 0.843400\nName: 3303, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.551626552056604, std values: 5.200941815407226, min values: 3.6283e-06, max values: 43.645, median values: 0.27575, and quantile values: 0.25 0.072652\n0.50 0.275750\n0.75 0.913995\nName: 3304, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4877013251396227, std values: 4.967148847046287, min values: 1.6746e-06, max values: 40.407, median values: 0.22338, and quantile values: 0.25 0.063473\n0.50 0.223380\n0.75 0.904820\nName: 3305, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.487021468727673, std values: 5.0960235241856875, min values: 4.2409e-06, max values: 41.709, median values: 0.20715, and quantile values: 0.25 0.064771\n0.50 0.207150\n0.75 0.845400\nName: 3306, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7583244153572324, std values: 5.544607772000434, min values: 3.3976e-06, max values: 48.838, median values: 0.27326, and quantile values: 0.25 0.082236\n0.50 0.273260\n0.75 1.155750\nName: 3307, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4367709077509434, std values: 4.956963432447236, min values: 2.1173e-06, max values: 40.18, median values: 0.22316, and quantile values: 0.25 0.064803\n0.50 0.223160\n0.75 0.798020\nName: 3308, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3507111072063522, std values: 4.6011505102373995, min values: 5.551e-08, max values: 37.586, median values: 0.17199, and quantile values: 0.25 0.047733\n0.50 0.171990\n0.75 0.727855\nName: 3309, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2666283167060062, std values: 4.551716694516477, min values: 6.9835e-08, max values: 36.847, median values: 0.17527, and quantile values: 0.25 0.046672\n0.50 0.175270\n0.75 0.664995\nName: 3310, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.39196559681761, std values: 4.8643052253229895, min values: 1.7112e-06, max values: 39.378, median values: 0.22388, and quantile values: 0.25 0.060381\n0.50 0.223880\n0.75 0.877715\nName: 3311, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.323512521308239, std values: 4.968200007606208, min values: 2.1657e-07, max values: 42.791, median values: 0.14451, and quantile values: 0.25 0.041235\n0.50 0.144510\n0.75 0.633140\nName: 3312, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2213004603146855, std values: 4.583949018668055, min values: 1.5719e-08, max values: 37.041, median values: 0.13194, and quantile values: 0.25 0.030797\n0.50 0.131940\n0.75 0.580955\nName: 3313, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5923190131402516, std values: 5.004536870910454, min values: 1.904e-06, max values: 40.084, median values: 0.2363, and quantile values: 0.25 0.067975\n0.50 0.236300\n0.75 1.001290\nName: 3314, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3505321342744026, std values: 4.842789447444902, min values: 9.8293e-07, max values: 39.013, median values: 0.17347, and quantile values: 0.25 0.053838\n0.50 0.173470\n0.75 0.733855\nName: 3315, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4565002015679873, std values: 4.910168494779072, min values: 5.7171e-07, max values: 40.757, median values: 0.215, and quantile values: 0.25 0.059507\n0.50 0.215000\n0.75 0.865350\nName: 3316, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4119794276647801, std values: 4.804532321245915, min values: 1.9829e-06, max values: 39.224, median values: 0.18679, and quantile values: 0.25 0.063311\n0.50 0.186790\n0.75 0.832115\nName: 3317, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.504857166815094, std values: 4.849348679632861, min values: 2.5658e-06, max values: 40.364, median values: 0.21271, and quantile values: 0.25 0.064689\n0.50 0.212710\n0.75 0.919280\nName: 3318, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5905837097867923, std values: 4.86755805009668, min values: 1.5169e-06, max values: 38.443, median values: 0.25906, and quantile values: 0.25 0.077074\n0.50 0.259060\n0.75 1.068900\nName: 3319, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.476227656910063, std values: 5.193666173570892, min values: 2.6739e-06, max values: 43.356, median values: 0.21351, and quantile values: 0.25 0.065479\n0.50 0.213510\n0.75 0.830355\nName: 3320, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5198132089723901, std values: 4.943884246593419, min values: 9.4961e-07, max values: 39.937, median values: 0.24858, and quantile values: 0.25 0.063409\n0.50 0.248580\n0.75 0.894220\nName: 3321, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5878763922943395, std values: 5.013016386684786, min values: 2.1056e-06, max values: 39.83, median values: 0.25992, and quantile values: 0.25 0.073354\n0.50 0.259920\n0.75 0.988335\nName: 3322, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.571960519233962, std values: 4.9176043257574955, min values: 2.5329e-06, max values: 38.89, median values: 0.29377, and quantile values: 0.25 0.074551\n0.50 0.293770\n0.75 1.023855\nName: 3323, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3914813271660378, std values: 4.498279076301351, min values: 1.2292e-06, max values: 38.44, median values: 0.20077, and quantile values: 0.25 0.063363\n0.50 0.200770\n0.75 0.844770\nName: 3324, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.835235498408176, std values: 5.310695697270001, min values: 1.2041e-06, max values: 43.89, median values: 0.31842, and quantile values: 0.25 0.080223\n0.50 0.318420\n0.75 1.369550\nName: 3325, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.50709633382478, std values: 4.776690569200756, min values: 4.5064e-07, max values: 37.634, median values: 0.19268, and quantile values: 0.25 0.054812\n0.50 0.192680\n0.75 0.899605\nName: 3326, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3735218682641508, std values: 4.708270646613121, min values: 1.1251e-06, max values: 38.499, median values: 0.20545, and quantile values: 0.25 0.056623\n0.50 0.205450\n0.75 0.735780\nName: 3327, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4770050639651575, std values: 4.813111495225383, min values: 4.5946e-07, max values: 37.896, median values: 0.22851, and quantile values: 0.25 0.056554\n0.50 0.228510\n0.75 0.889780\nName: 3328, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5710236834522011, std values: 4.860417049173838, min values: 1.058e-06, max values: 38.345, median values: 0.29139, and quantile values: 0.25 0.066503\n0.50 0.291390\n0.75 0.989990\nName: 3329, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.501105492187868, std values: 4.89844806148522, min values: 2.2071e-08, max values: 40.44, median values: 0.19575, and quantile values: 0.25 0.055498\n0.50 0.195750\n0.75 0.882335\nName: 3330, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5236295715157233, std values: 4.896890454731138, min values: 1.065e-06, max values: 38.999, median values: 0.25998, and quantile values: 0.25 0.069058\n0.50 0.259980\n0.75 0.924695\nName: 3331, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4287900904616353, std values: 5.066202066351946, min values: 1.2508e-06, max values: 42.714, median values: 0.19638, and quantile values: 0.25 0.058973\n0.50 0.196380\n0.75 0.840100\nName: 3332, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.299019935776415, std values: 4.43055959202476, min values: 1.6365e-07, max values: 36.636, median values: 0.19679, and quantile values: 0.25 0.057619\n0.50 0.196790\n0.75 0.789135\nName: 3333, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3423548572194968, std values: 4.956455010055744, min values: 1.3405e-06, max values: 40.41, median values: 0.18068, and quantile values: 0.25 0.04817\n0.50 0.18068\n0.75 0.75460\nName: 3334, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5423466110289308, std values: 4.890572462866045, min values: 1.0734e-06, max values: 38.659, median values: 0.23153, and quantile values: 0.25 0.065022\n0.50 0.231530\n0.75 1.002235\nName: 3335, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4172129585677358, std values: 4.8040043718637815, min values: 6.2477e-07, max values: 38.486, median values: 0.18635, and quantile values: 0.25 0.055746\n0.50 0.186350\n0.75 0.887100\nName: 3336, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.290170469764151, std values: 4.6421704736408795, min values: 2.8113e-06, max values: 39.953, median values: 0.16575, and quantile values: 0.25 0.050458\n0.50 0.165750\n0.75 0.683600\nName: 3337, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6454861560716978, std values: 4.990902918245074, min values: 1.5692e-06, max values: 38.976, median values: 0.27941, and quantile values: 0.25 0.080496\n0.50 0.279410\n0.75 1.118500\nName: 3338, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5432603185911948, std values: 5.1012970197881815, min values: 3.0506e-06, max values: 40.89, median values: 0.24366, and quantile values: 0.25 0.073047\n0.50 0.243660\n0.75 0.871690\nName: 3339, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6631220789069183, std values: 5.019955161480553, min values: 4.1112e-06, max values: 40.209, median values: 0.26943, and quantile values: 0.25 0.082773\n0.50 0.269430\n0.75 1.061750\nName: 3340, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5036516827044024, std values: 5.030229600096088, min values: 2.9254e-06, max values: 40.132, median values: 0.21184, and quantile values: 0.25 0.064358\n0.50 0.211840\n0.75 0.887120\nName: 3341, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5200735034194968, std values: 5.250832833570934, min values: 3.6628e-06, max values: 43.903, median values: 0.22536, and quantile values: 0.25 0.067005\n0.50 0.225360\n0.75 0.830305\nName: 3342, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.332308567466855, std values: 4.789960390320806, min values: 1.0364e-07, max values: 39.249, median values: 0.16608, and quantile values: 0.25 0.037630\n0.50 0.166080\n0.75 0.796605\nName: 3343, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3503156898166038, std values: 5.099884441088974, min values: 9.3174e-07, max values: 44.213, median values: 0.15548, and quantile values: 0.25 0.047138\n0.50 0.155480\n0.75 0.704810\nName: 3344, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4213779776630189, std values: 4.7902465502507905, min values: 7.9992e-07, max values: 38.299, median values: 0.21241, and quantile values: 0.25 0.059348\n0.50 0.212410\n0.75 0.823930\nName: 3345, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4564227273977988, std values: 4.7763191561012475, min values: 9.7525e-07, max values: 38.44, median values: 0.20848, and quantile values: 0.25 0.067677\n0.50 0.208480\n0.75 0.902340\nName: 3346, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6110055028586163, std values: 4.974388814971883, min values: 3.1192e-07, max values: 40.262, median values: 0.22395, and quantile values: 0.25 0.063301\n0.50 0.223950\n0.75 1.038200\nName: 3347, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5490636687025159, std values: 5.099475082360099, min values: 2.2552e-06, max values: 41.544, median values: 0.24189, and quantile values: 0.25 0.061794\n0.50 0.241890\n0.75 0.991475\nName: 3348, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1464612477736478, std values: 4.6010408960515425, min values: 1.3742e-07, max values: 37.058, median values: 0.10853, and quantile values: 0.25 0.037507\n0.50 0.108530\n0.75 0.586055\nName: 3349, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4724808060301888, std values: 4.853901740463201, min values: 2.1524e-06, max values: 39.959, median values: 0.22061, and quantile values: 0.25 0.075166\n0.50 0.220610\n0.75 0.879940\nName: 3350, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3872856314822641, std values: 4.806742572489664, min values: 5.4148e-07, max values: 38.391, median values: 0.21626, and quantile values: 0.25 0.059058\n0.50 0.216260\n0.75 0.764250\nName: 3351, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3920929489337106, std values: 4.907587316669398, min values: 2.9516e-07, max values: 41.626, median values: 0.20821, and quantile values: 0.25 0.053992\n0.50 0.208210\n0.75 0.785195\nName: 3352, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6856748408855344, std values: 5.001513370518356, min values: 3.5748e-06, max values: 40.044, median values: 0.28023, and quantile values: 0.25 0.085568\n0.50 0.280230\n0.75 1.124700\nName: 3353, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5549013007647798, std values: 5.062096745811914, min values: 2.8483e-06, max values: 40.146, median values: 0.24849, and quantile values: 0.25 0.067762\n0.50 0.248490\n0.75 0.948460\nName: 3354, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4612305130545598, std values: 4.871187940910053, min values: 2.4005e-08, max values: 40.123, median values: 0.18709, and quantile values: 0.25 0.043378\n0.50 0.187090\n0.75 0.877540\nName: 3355, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.560703979474717, std values: 4.899966618445503, min values: 1.6248e-07, max values: 39.184, median values: 0.24472, and quantile values: 0.25 0.069388\n0.50 0.244720\n0.75 1.023050\nName: 3356, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.43434556681761, std values: 4.920156944133002, min values: 1.1267e-06, max values: 40.049, median values: 0.19559, and quantile values: 0.25 0.05814\n0.50 0.19559\n0.75 0.88085\nName: 3357, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4899927730801257, std values: 4.695829191055095, min values: 5.1194e-07, max values: 37.372, median values: 0.27015, and quantile values: 0.25 0.069832\n0.50 0.270150\n0.75 0.909945\nName: 3358, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5211741000715093, std values: 5.020227675981518, min values: 9.4477e-07, max values: 41.49, median values: 0.26301, and quantile values: 0.25 0.06392\n0.50 0.26301\n0.75 0.97854\nName: 3359, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4450181842544025, std values: 4.776239587169493, min values: 6.9615e-07, max values: 37.826, median values: 0.23625, and quantile values: 0.25 0.058483\n0.50 0.236250\n0.75 0.906000\nName: 3360, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2191882000679246, std values: 4.643178113420464, min values: 1.8314e-06, max values: 39.385, median values: 0.1611, and quantile values: 0.25 0.047698\n0.50 0.161100\n0.75 0.595735\nName: 3361, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2427598385672958, std values: 4.9517768758320715, min values: 2.0828e-06, max values: 40.568, median values: 0.15409, and quantile values: 0.25 0.050220\n0.50 0.154090\n0.75 0.589655\nName: 3362, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.523813977850503, std values: 4.94527691014196, min values: 5.5043e-07, max values: 40.776, median values: 0.26014, and quantile values: 0.25 0.069830\n0.50 0.260140\n0.75 0.953435\nName: 3363, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3974561240106922, std values: 4.715424353943895, min values: 2.1729e-06, max values: 39.398, median values: 0.22329, and quantile values: 0.25 0.070675\n0.50 0.223290\n0.75 0.845200\nName: 3364, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5225498601534593, std values: 4.880227392861047, min values: 1.6208e-06, max values: 39.133, median values: 0.21194, and quantile values: 0.25 0.062749\n0.50 0.211940\n0.75 0.981605\nName: 3365, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6739257184867926, std values: 5.027071931866987, min values: 1.8803e-06, max values: 39.086, median values: 0.27953, and quantile values: 0.25 0.086566\n0.50 0.279530\n0.75 1.172200\nName: 3366, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6357421083723267, std values: 5.0233338415910085, min values: 1.5006e-06, max values: 40.123, median values: 0.24735, and quantile values: 0.25 0.070175\n0.50 0.247350\n0.75 1.112900\nName: 3367, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6767887949342768, std values: 5.332103367201505, min values: 9.9475e-07, max values: 47.014, median values: 0.30154, and quantile values: 0.25 0.071153\n0.50 0.301540\n0.75 1.089750\nName: 3368, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4967690408008805, std values: 4.852491971861938, min values: 8.9604e-07, max values: 38.412, median values: 0.21178, and quantile values: 0.25 0.061639\n0.50 0.211780\n0.75 0.949165\nName: 3369, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5857568891007547, std values: 4.855670477445864, min values: 5.5372e-07, max values: 38.146, median values: 0.26042, and quantile values: 0.25 0.066036\n0.50 0.260420\n0.75 1.023400\nName: 3370, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.466714066879874, std values: 5.181087969299674, min values: 3.7868e-06, max values: 43.322, median values: 0.2066, and quantile values: 0.25 0.066604\n0.50 0.206600\n0.75 0.793625\nName: 3371, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.415503554091195, std values: 4.7623414455972854, min values: 1.7146e-06, max values: 39.316, median values: 0.20384, and quantile values: 0.25 0.062276\n0.50 0.203840\n0.75 0.870655\nName: 3372, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5106872463226415, std values: 5.0801677662290965, min values: 1.5009e-06, max values: 42.488, median values: 0.22891, and quantile values: 0.25 0.063877\n0.50 0.228910\n0.75 0.920615\nName: 3373, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4584411050113208, std values: 4.868295002686366, min values: 1.5858e-06, max values: 39.566, median values: 0.23019, and quantile values: 0.25 0.062268\n0.50 0.230190\n0.75 0.853960\nName: 3374, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5301507360790565, std values: 4.752586659806123, min values: 1.2047e-07, max values: 38.008, median values: 0.23221, and quantile values: 0.25 0.057068\n0.50 0.232210\n0.75 1.036200\nName: 3375, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2631702459855345, std values: 4.6064232562508876, min values: 1.242e-06, max values: 38.4, median values: 0.16539, and quantile values: 0.25 0.057674\n0.50 0.165390\n0.75 0.698435\nName: 3376, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4748369181566037, std values: 4.969822655510285, min values: 1.0124e-06, max values: 41.295, median values: 0.22206, and quantile values: 0.25 0.060313\n0.50 0.222060\n0.75 0.868290\nName: 3377, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5478391509648428, std values: 4.965511647275701, min values: 6.5681e-07, max values: 40.613, median values: 0.23296, and quantile values: 0.25 0.068768\n0.50 0.232960\n0.75 0.988695\nName: 3378, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.623763589525786, std values: 4.951609350951996, min values: 1.2958e-06, max values: 38.987, median values: 0.24936, and quantile values: 0.25 0.062793\n0.50 0.249360\n0.75 1.096250\nName: 3379, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5253339721596164, std values: 4.810763715533146, min values: 2.2139e-08, max values: 38.19, median values: 0.19784, and quantile values: 0.25 0.055153\n0.50 0.197840\n0.75 0.966925\nName: 3380, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5133520993767295, std values: 5.219750556303997, min values: 1.9409e-06, max values: 44.354, median values: 0.23562, and quantile values: 0.25 0.062705\n0.50 0.235620\n0.75 0.921260\nName: 3381, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.667019673585849, std values: 5.015429762527611, min values: 1.3385e-07, max values: 40.289, median values: 0.27253, and quantile values: 0.25 0.073617\n0.50 0.272530\n0.75 1.140500\nName: 3382, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3934503900192452, std values: 4.833862796053586, min values: 7.4496e-07, max values: 38.937, median values: 0.21015, and quantile values: 0.25 0.062771\n0.50 0.210150\n0.75 0.809130\nName: 3383, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3795687388515725, std values: 4.710323157907212, min values: 3.1438e-06, max values: 39.271, median values: 0.19398, and quantile values: 0.25 0.060408\n0.50 0.193980\n0.75 0.796940\nName: 3384, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7242082139993713, std values: 5.0507293778060305, min values: 2.6167e-06, max values: 39.587, median values: 0.30173, and quantile values: 0.25 0.08279\n0.50 0.30173\n0.75 1.16985\nName: 3385, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2916297820144655, std values: 4.753564912020813, min values: 7.738e-07, max values: 38.524, median values: 0.17064, and quantile values: 0.25 0.049189\n0.50 0.170640\n0.75 0.666275\nName: 3386, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4873016720622643, std values: 4.942523180882358, min values: 1.2021e-06, max values: 40.627, median values: 0.20478, and quantile values: 0.25 0.063764\n0.50 0.204780\n0.75 0.881620\nName: 3387, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7643738996056604, std values: 5.080201823967031, min values: 1.4466e-06, max values: 39.569, median values: 0.32047, and quantile values: 0.25 0.086896\n0.50 0.320470\n0.75 1.266100\nName: 3388, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5749533689163524, std values: 5.091463594135629, min values: 3.9984e-06, max values: 40.457, median values: 0.24689, and quantile values: 0.25 0.072301\n0.50 0.246890\n0.75 0.946485\nName: 3389, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3495536443861635, std values: 4.782438572865569, min values: 1.4069e-06, max values: 38.275, median values: 0.18408, and quantile values: 0.25 0.060500\n0.50 0.184080\n0.75 0.741185\nName: 3390, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4302326184314464, std values: 4.8928407423787625, min values: 1.0073e-06, max values: 40.383, median values: 0.21745, and quantile values: 0.25 0.06363\n0.50 0.21745\n0.75 0.87852\nName: 3391, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2360493350947794, std values: 4.647896548446148, min values: 2.3367e-07, max values: 38.226, median values: 0.14122, and quantile values: 0.25 0.040655\n0.50 0.141220\n0.75 0.671900\nName: 3392, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6615446362018869, std values: 5.041624262570437, min values: 2.8404e-06, max values: 39.391, median values: 0.2758, and quantile values: 0.25 0.074912\n0.50 0.275800\n0.75 1.127600\nName: 3393, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.462935269876585, std values: 4.510752055346085, min values: 3.9087e-08, max values: 36.474, median values: 0.22296, and quantile values: 0.25 0.051875\n0.50 0.222960\n0.75 0.944690\nName: 3394, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3870081677075472, std values: 4.972366163170582, min values: 1.8607e-06, max values: 40.067, median values: 0.1976, and quantile values: 0.25 0.048547\n0.50 0.197600\n0.75 0.747790\nName: 3395, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5147862691584906, std values: 4.971483615872478, min values: 2.4447e-06, max values: 39.832, median values: 0.2425, and quantile values: 0.25 0.070996\n0.50 0.242500\n0.75 0.935915\nName: 3396, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5452246077918237, std values: 5.056569905210318, min values: 4.7778e-06, max values: 40.936, median values: 0.25011, and quantile values: 0.25 0.072951\n0.50 0.250110\n0.75 0.944305\nName: 3397, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5028955845402516, std values: 5.018368157575407, min values: 5.654e-07, max values: 42.8, median values: 0.23059, and quantile values: 0.25 0.068676\n0.50 0.230590\n0.75 0.907045\nName: 3398, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4420284038503142, std values: 4.767532225940475, min values: 2.5203e-06, max values: 39.084, median values: 0.23948, and quantile values: 0.25 0.063564\n0.50 0.239480\n0.75 0.826045\nName: 3399, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.397592630818868, std values: 4.895870202828957, min values: 1.157e-06, max values: 40.079, median values: 0.19709, and quantile values: 0.25 0.055736\n0.50 0.197090\n0.75 0.767235\nName: 3400, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1932339347304404, std values: 4.667040321055743, min values: 2.765e-08, max values: 38.368, median values: 0.13649, and quantile values: 0.25 0.043585\n0.50 0.136490\n0.75 0.584110\nName: 3401, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3340170557885913, std values: 4.640912251380078, min values: 1.8986e-08, max values: 37.196, median values: 0.20387, and quantile values: 0.25 0.049364\n0.50 0.203870\n0.75 0.801235\nName: 3402, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3676093509647798, std values: 4.755356161139775, min values: 1.0085e-06, max values: 38.827, median values: 0.18758, and quantile values: 0.25 0.057369\n0.50 0.187580\n0.75 0.771525\nName: 3403, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.44112506808239, std values: 4.744510811211794, min values: 3.4962e-06, max values: 39.776, median values: 0.23856, and quantile values: 0.25 0.070986\n0.50 0.238560\n0.75 0.828450\nName: 3404, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.419141813137736, std values: 4.984321480766337, min values: 2.769e-06, max values: 40.156, median values: 0.2156, and quantile values: 0.25 0.064986\n0.50 0.215600\n0.75 0.753980\nName: 3405, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4031792741937108, std values: 4.8260760843485375, min values: 1.1529e-06, max values: 38.665, median values: 0.21317, and quantile values: 0.25 0.058704\n0.50 0.213170\n0.75 0.817845\nName: 3406, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.509121950894088, std values: 5.091829806476429, min values: 7.5566e-07, max values: 43.888, median values: 0.24572, and quantile values: 0.25 0.075825\n0.50 0.245720\n0.75 0.895030\nName: 3407, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4403233062461633, std values: 4.940615252013912, min values: 3.7914e-07, max values: 40.987, median values: 0.21109, and quantile values: 0.25 0.056384\n0.50 0.211090\n0.75 0.837645\nName: 3408, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4372916256044153, std values: 4.785644577250777, min values: 2.9342e-08, max values: 39.031, median values: 0.20245, and quantile values: 0.25 0.049978\n0.50 0.202450\n0.75 0.892590\nName: 3409, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2769930770192452, std values: 4.575662962045752, min values: 3.2796e-07, max values: 36.913, median values: 0.17046, and quantile values: 0.25 0.048669\n0.50 0.170460\n0.75 0.714860\nName: 3410, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4983949661232703, std values: 5.149637480574365, min values: 3.7199e-06, max values: 42.026, median values: 0.22903, and quantile values: 0.25 0.06582\n0.50 0.22903\n0.75 0.80222\nName: 3411, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6867707648106287, std values: 4.916014123578075, min values: 3.8629e-07, max values: 38.672, median values: 0.27417, and quantile values: 0.25 0.069281\n0.50 0.274170\n0.75 1.208400\nName: 3412, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4795636598360753, std values: 4.784001625760532, min values: 0.0, max values: 37.982, median values: 0.18639, and quantile values: 0.25 0.047814\n0.50 0.186390\n0.75 0.897195\nName: 3413, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5959287831201256, std values: 5.087242589956485, min values: 3.87e-06, max values: 40.378, median values: 0.27013, and quantile values: 0.25 0.080226\n0.50 0.270130\n0.75 0.956165\nName: 3414, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.413104745451572, std values: 4.898462146437676, min values: 4.5624e-06, max values: 40.781, median values: 0.21107, and quantile values: 0.25 0.062644\n0.50 0.211070\n0.75 0.713220\nName: 3415, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5754783784339623, std values: 4.906348568483418, min values: 1.7626e-06, max values: 39.2, median values: 0.24153, and quantile values: 0.25 0.066629\n0.50 0.241530\n0.75 1.043100\nName: 3416, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2675042348703776, std values: 4.892344721724823, min values: 5.6259e-07, max values: 41.994, median values: 0.15601, and quantile values: 0.25 0.046823\n0.50 0.156010\n0.75 0.692725\nName: 3417, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6255705412503145, std values: 5.05451821001745, min values: 2.3592e-06, max values: 39.899, median values: 0.25427, and quantile values: 0.25 0.071009\n0.50 0.254270\n0.75 1.072300\nName: 3418, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5046658509103144, std values: 4.863795266712626, min values: 2.3324e-07, max values: 38.967, median values: 0.23106, and quantile values: 0.25 0.061364\n0.50 0.231060\n0.75 0.979025\nName: 3419, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4622049303157234, std values: 4.736772950330475, min values: 1.8931e-06, max values: 39.04, median values: 0.22641, and quantile values: 0.25 0.061807\n0.50 0.226410\n0.75 0.915430\nName: 3420, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.285408665826415, std values: 4.8259576634292785, min values: 1.131e-07, max values: 39.567, median values: 0.15949, and quantile values: 0.25 0.042046\n0.50 0.159490\n0.75 0.696165\nName: 3421, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4074654794584904, std values: 5.037747041696339, min values: 1.7946e-06, max values: 41.671, median values: 0.20078, and quantile values: 0.25 0.057421\n0.50 0.200780\n0.75 0.859290\nName: 3422, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.453482327141717, std values: 4.87574146141116, min values: 2.8333e-08, max values: 39.897, median values: 0.17862, and quantile values: 0.25 0.056618\n0.50 0.178620\n0.75 0.798215\nName: 3423, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.575653591454717, std values: 4.884260563116863, min values: 2.972e-06, max values: 40.535, median values: 0.30628, and quantile values: 0.25 0.074535\n0.50 0.306280\n0.75 1.015725\nName: 3424, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5533696073106922, std values: 5.367557385795121, min values: 6.5589e-06, max values: 43.74, median values: 0.23078, and quantile values: 0.25 0.06724\n0.50 0.23078\n0.75 0.79176\nName: 3425, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4919097051578616, std values: 4.90227889078857, min values: 1.2274e-07, max values: 40.589, median values: 0.22073, and quantile values: 0.25 0.049924\n0.50 0.220730\n0.75 0.845805\nName: 3426, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.616179804292138, std values: 4.817296322183164, min values: 3.1061e-07, max values: 37.405, median values: 0.25283, and quantile values: 0.25 0.053903\n0.50 0.252830\n0.75 1.019040\nName: 3427, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4210664988949686, std values: 4.74581353658966, min values: 1.4814e-06, max values: 38.676, median values: 0.21024, and quantile values: 0.25 0.065815\n0.50 0.210240\n0.75 0.846265\nName: 3428, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4150021910880506, std values: 4.876250298518362, min values: 1.2664e-06, max values: 39.852, median values: 0.21089, and quantile values: 0.25 0.065263\n0.50 0.210890\n0.75 0.823265\nName: 3429, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4799634391981131, std values: 5.139202055342043, min values: 3.7684e-06, max values: 41.969, median values: 0.19158, and quantile values: 0.25 0.066531\n0.50 0.191580\n0.75 0.829545\nName: 3430, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5995020357018868, std values: 5.42069426142146, min values: 2.7105e-06, max values: 47.155, median values: 0.25135, and quantile values: 0.25 0.068149\n0.50 0.251350\n0.75 0.930420\nName: 3431, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3408026116185094, std values: 4.559671151869158, min values: 1.4203e-08, max values: 36.374, median values: 0.1844, and quantile values: 0.25 0.046389\n0.50 0.184400\n0.75 0.731335\nName: 3432, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4658302391773583, std values: 4.858128893186353, min values: 1.9348e-06, max values: 39.573, median values: 0.21903, and quantile values: 0.25 0.065874\n0.50 0.219030\n0.75 0.918390\nName: 3433, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6042510075408802, std values: 4.894208181130283, min values: 3.5751e-06, max values: 39.816, median values: 0.2819, and quantile values: 0.25 0.078162\n0.50 0.281900\n0.75 1.041900\nName: 3434, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3961359901968553, std values: 4.945252586822538, min values: 1.9132e-06, max values: 40.284, median values: 0.18844, and quantile values: 0.25 0.059495\n0.50 0.188440\n0.75 0.807090\nName: 3435, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3614109295408805, std values: 4.819037201000432, min values: 1.8803e-06, max values: 39.517, median values: 0.20878, and quantile values: 0.25 0.054446\n0.50 0.208780\n0.75 0.821660\nName: 3436, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.54786388308805, std values: 4.992191536807888, min values: 2.5575e-06, max values: 39.452, median values: 0.25234, and quantile values: 0.25 0.082927\n0.50 0.252340\n0.75 0.928590\nName: 3437, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4818124699747424, std values: 4.920668045310601, min values: 2.2684e-08, max values: 40.654, median values: 0.20664, and quantile values: 0.25 0.046605\n0.50 0.206640\n0.75 0.901270\nName: 3438, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5341415255968553, std values: 5.074085667456817, min values: 2.9817e-06, max values: 41.236, median values: 0.22976, and quantile values: 0.25 0.068111\n0.50 0.229760\n0.75 0.957535\nName: 3439, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3996543625226414, std values: 5.11561129942108, min values: 1.1853e-06, max values: 43.165, median values: 0.19502, and quantile values: 0.25 0.053656\n0.50 0.195020\n0.75 0.806415\nName: 3440, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3842816613502518, std values: 4.956290867206406, min values: 3.9999e-07, max values: 41.056, median values: 0.18859, and quantile values: 0.25 0.049254\n0.50 0.188590\n0.75 0.813655\nName: 3441, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5809161766459119, std values: 5.213425923953895, min values: 4.1257e-06, max values: 42.605, median values: 0.24848, and quantile values: 0.25 0.073889\n0.50 0.248480\n0.75 0.899500\nName: 3442, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8113209245044026, std values: 5.177630957274364, min values: 5.7851e-06, max values: 40.44, median values: 0.30579, and quantile values: 0.25 0.084426\n0.50 0.305790\n0.75 1.212900\nName: 3443, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.558840306625786, std values: 5.0620025458356075, min values: 1.6111e-06, max values: 41.092, median values: 0.24134, and quantile values: 0.25 0.070647\n0.50 0.241340\n0.75 0.941070\nName: 3444, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4726467717899372, std values: 4.976052209095708, min values: 2.1438e-06, max values: 39.883, median values: 0.24289, and quantile values: 0.25 0.068476\n0.50 0.242890\n0.75 0.885090\nName: 3445, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.510597354532893, std values: 5.018046726307675, min values: 2.1273e-07, max values: 43.083, median values: 0.22914, and quantile values: 0.25 0.060571\n0.50 0.229140\n0.75 0.927785\nName: 3446, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2917615873484276, std values: 4.644926171637502, min values: 2.1507e-06, max values: 40.14, median values: 0.17834, and quantile values: 0.25 0.049973\n0.50 0.178340\n0.75 0.746375\nName: 3447, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3959987965452831, std values: 4.642377245568846, min values: 0.0, max values: 37.286, median values: 0.21524, and quantile values: 0.25 0.06068\n0.50 0.21524\n0.75 0.76097\nName: 3448, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4710222843168552, std values: 5.09727705125806, min values: 5.2628e-07, max values: 43.63, median values: 0.19884, and quantile values: 0.25 0.055108\n0.50 0.198840\n0.75 0.824505\nName: 3449, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4247670275213837, std values: 5.005605996311294, min values: 2.666e-06, max values: 40.968, median values: 0.18818, and quantile values: 0.25 0.05993\n0.50 0.18818\n0.75 0.70401\nName: 3450, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3993864313515725, std values: 4.66573487672045, min values: 2.6666e-06, max values: 39.244, median values: 0.19629, and quantile values: 0.25 0.070365\n0.50 0.196290\n0.75 0.859925\nName: 3451, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.237700546142956, std values: 4.796024066140651, min values: 7.5993e-07, max values: 40.052, median values: 0.1343, and quantile values: 0.25 0.045304\n0.50 0.134300\n0.75 0.607250\nName: 3452, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4751573280100627, std values: 5.052186079332848, min values: 1.1539e-06, max values: 41.995, median values: 0.19402, and quantile values: 0.25 0.061154\n0.50 0.194020\n0.75 0.870585\nName: 3453, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5037512823446542, std values: 4.960153411177992, min values: 1.2283e-06, max values: 40.62, median values: 0.22679, and quantile values: 0.25 0.067129\n0.50 0.226790\n0.75 0.912295\nName: 3454, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4836298344101888, std values: 4.984144989654486, min values: 1.9274e-07, max values: 42.226, median values: 0.19082, and quantile values: 0.25 0.049551\n0.50 0.190820\n0.75 0.823475\nName: 3455, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4125152174647801, std values: 4.771548281640279, min values: 1.3595e-06, max values: 38.435, median values: 0.20099, and quantile values: 0.25 0.062046\n0.50 0.200990\n0.75 0.785515\nName: 3456, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5286459208767296, std values: 4.972842008465771, min values: 1.3658e-06, max values: 40.335, median values: 0.20591, and quantile values: 0.25 0.056524\n0.50 0.205910\n0.75 0.856415\nName: 3457, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3313826697182392, std values: 4.819068698581619, min values: 1.5641e-06, max values: 38.746, median values: 0.18828, and quantile values: 0.25 0.059507\n0.50 0.188280\n0.75 0.721110\nName: 3458, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2852110586867924, std values: 4.7581675162748605, min values: 2.122e-06, max values: 39.944, median values: 0.16473, and quantile values: 0.25 0.055544\n0.50 0.164730\n0.75 0.676425\nName: 3459, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3355379751566037, std values: 4.8621879642307055, min values: 3.1351e-06, max values: 40.686, median values: 0.17964, and quantile values: 0.25 0.058853\n0.50 0.179640\n0.75 0.660840\nName: 3460, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4795883091981132, std values: 4.794569596418079, min values: 2.6499e-06, max values: 40.033, median values: 0.22642, and quantile values: 0.25 0.067647\n0.50 0.226420\n0.75 0.933955\nName: 3461, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7103089686735846, std values: 5.2721530568633055, min values: 6.7641e-06, max values: 41.346, median values: 0.26264, and quantile values: 0.25 0.076178\n0.50 0.262640\n0.75 0.991095\nName: 3462, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7440775564345912, std values: 5.11307418765885, min values: 1.9445e-06, max values: 40.377, median values: 0.29754, and quantile values: 0.25 0.086153\n0.50 0.297540\n0.75 1.198500\nName: 3463, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5825226615119246, std values: 4.789976406814802, min values: 3.4416e-08, max values: 37.401, median values: 0.21897, and quantile values: 0.25 0.05480\n0.50 0.21897\n0.75 1.08825\nName: 3464, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4865625013589308, std values: 4.811964439066986, min values: 1.8057e-07, max values: 38.114, median values: 0.23035, and quantile values: 0.25 0.054101\n0.50 0.230350\n0.75 0.903960\nName: 3465, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6614166034125786, std values: 5.0772624916536655, min values: 6.0973e-06, max values: 40.522, median values: 0.24895, and quantile values: 0.25 0.085727\n0.50 0.248950\n0.75 0.982190\nName: 3466, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5656591365841135, std values: 5.0397033580123916, min values: 2.1074e-08, max values: 42.35, median values: 0.22865, and quantile values: 0.25 0.056933\n0.50 0.228650\n0.75 1.076600\nName: 3467, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.385515615515566, std values: 4.777659977468096, min values: 2.775e-08, max values: 40.048, median values: 0.20715, and quantile values: 0.25 0.044609\n0.50 0.207150\n0.75 0.786310\nName: 3468, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.622782860496855, std values: 4.871306108327137, min values: 3.5319e-06, max values: 38.847, median values: 0.28529, and quantile values: 0.25 0.077647\n0.50 0.285290\n0.75 1.083500\nName: 3469, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5166821280761007, std values: 4.877842103502519, min values: 1.9619e-06, max values: 39.938, median values: 0.22573, and quantile values: 0.25 0.060451\n0.50 0.225730\n0.75 0.943400\nName: 3470, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5089176355415093, std values: 5.09440408377446, min values: 1.218e-06, max values: 42.699, median values: 0.20707, and quantile values: 0.25 0.06134\n0.50 0.20707\n0.75 0.86407\nName: 3471, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5111408845993712, std values: 4.932604158443814, min values: 4.0707e-06, max values: 40.944, median values: 0.22848, and quantile values: 0.25 0.066908\n0.50 0.228480\n0.75 0.846910\nName: 3472, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2942140163342137, std values: 4.783153582788573, min values: 2.1084e-07, max values: 38.993, median values: 0.1619, and quantile values: 0.25 0.049308\n0.50 0.161900\n0.75 0.731135\nName: 3473, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7601946076031447, std values: 5.5688776036426475, min values: 1.1644e-06, max values: 49.914, median values: 0.28812, and quantile values: 0.25 0.073468\n0.50 0.288120\n0.75 1.194850\nName: 3474, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5328605178764085, std values: 4.875588794252657, min values: 3.0549e-08, max values: 40.053, median values: 0.21087, and quantile values: 0.25 0.056222\n0.50 0.210870\n0.75 0.993885\nName: 3475, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4786239420457232, std values: 4.856651363174289, min values: 8.4957e-07, max values: 38.696, median values: 0.19255, and quantile values: 0.25 0.058758\n0.50 0.192550\n0.75 0.912085\nName: 3476, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.522490931154088, std values: 4.846372304316872, min values: 2.3213e-06, max values: 38.347, median values: 0.25918, and quantile values: 0.25 0.077669\n0.50 0.259180\n0.75 0.893740\nName: 3477, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6550495670588676, std values: 5.296071336293516, min values: 1.716e-08, max values: 46.481, median values: 0.23862, and quantile values: 0.25 0.053359\n0.50 0.238620\n0.75 1.025900\nName: 3478, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6602795567672954, std values: 5.206421326808552, min values: 4.7483e-06, max values: 42.097, median values: 0.26995, and quantile values: 0.25 0.083847\n0.50 0.269950\n0.75 1.022285\nName: 3479, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5353908256968551, std values: 5.259999649907882, min values: 3.7014e-06, max values: 43.297, median values: 0.23347, and quantile values: 0.25 0.067792\n0.50 0.233470\n0.75 0.813675\nName: 3480, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2660433437144654, std values: 4.999221115083743, min values: 1.7214e-06, max values: 41.61, median values: 0.14267, and quantile values: 0.25 0.042034\n0.50 0.142670\n0.75 0.624140\nName: 3481, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4189934815132201, std values: 4.81041532592172, min values: 3.5332e-08, max values: 39.448, median values: 0.21513, and quantile values: 0.25 0.045385\n0.50 0.215130\n0.75 0.821780\nName: 3482, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.426066095307547, std values: 4.998932819112266, min values: 2.9558e-06, max values: 40.67, median values: 0.21181, and quantile values: 0.25 0.055387\n0.50 0.211810\n0.75 0.880470\nName: 3483, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.550256524967547, std values: 4.692565460789405, min values: 7.5334e-07, max values: 37.912, median values: 0.27718, and quantile values: 0.25 0.071454\n0.50 0.277180\n0.75 1.036580\nName: 3484, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5004044417549054, std values: 4.806273976646306, min values: 7.3113e-07, max values: 38.351, median values: 0.26667, and quantile values: 0.25 0.068610\n0.50 0.266670\n0.75 0.876285\nName: 3485, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4855793454628932, std values: 5.079738709626667, min values: 3.146e-06, max values: 41.752, median values: 0.22069, and quantile values: 0.25 0.065813\n0.50 0.220690\n0.75 0.851820\nName: 3486, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.481260751657044, std values: 4.6711600526406505, min values: 2.7997e-07, max values: 37.772, median values: 0.2189, and quantile values: 0.25 0.064578\n0.50 0.218900\n0.75 0.950455\nName: 3487, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6896634624955975, std values: 5.44540118266379, min values: 2.0605e-06, max values: 47.941, median values: 0.25584, and quantile values: 0.25 0.074946\n0.50 0.255840\n0.75 1.062500\nName: 3488, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.798446278806918, std values: 4.972401021867625, min values: 1.6678e-06, max values: 38.13, median values: 0.37, and quantile values: 0.25 0.10455\n0.50 0.37000\n0.75 1.29720\nName: 3489, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.447727031113893, std values: 5.0485281142359675, min values: 1.8449e-08, max values: 44.267, median values: 0.17363, and quantile values: 0.25 0.038565\n0.50 0.173630\n0.75 0.732365\nName: 3490, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5752108441603776, std values: 5.218768351551531, min values: 2.1952e-06, max values: 43.506, median values: 0.24283, and quantile values: 0.25 0.065981\n0.50 0.242830\n0.75 1.010780\nName: 3491, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5348126146833958, std values: 4.880670878515763, min values: 9.6886e-07, max values: 38.485, median values: 0.23663, and quantile values: 0.25 0.065672\n0.50 0.236630\n0.75 1.002165\nName: 3492, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3110751980968556, std values: 4.807208867077368, min values: 1.1914e-06, max values: 38.645, median values: 0.16184, and quantile values: 0.25 0.058814\n0.50 0.161840\n0.75 0.677420\nName: 3493, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4722890509175472, std values: 4.851097816946835, min values: 9.559e-08, max values: 39.217, median values: 0.18705, and quantile values: 0.25 0.053232\n0.50 0.187050\n0.75 0.895535\nName: 3494, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5066313407094336, std values: 4.8575577024410235, min values: 2.8852e-06, max values: 39.553, median values: 0.21452, and quantile values: 0.25 0.064549\n0.50 0.214520\n0.75 0.935775\nName: 3495, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5753699329603774, std values: 4.988752477778114, min values: 1.1008e-06, max values: 40.506, median values: 0.25791, and quantile values: 0.25 0.068014\n0.50 0.257910\n0.75 1.055500\nName: 3496, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.359793403533459, std values: 4.753090903677183, min values: 2.1112e-07, max values: 38.177, median values: 0.17637, and quantile values: 0.25 0.049076\n0.50 0.176370\n0.75 0.766210\nName: 3497, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4557148689753459, std values: 4.933334549311658, min values: 9.1508e-07, max values: 40.229, median values: 0.22404, and quantile values: 0.25 0.056095\n0.50 0.224040\n0.75 0.843660\nName: 3498, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4026106628692454, std values: 4.601744366793728, min values: 6.0411e-07, max values: 37.396, median values: 0.1974, and quantile values: 0.25 0.05753\n0.50 0.19740\n0.75 0.83272\nName: 3499, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5798952861773583, std values: 4.812966094129107, min values: 1.9967e-06, max values: 38.565, median values: 0.2684, and quantile values: 0.25 0.083444\n0.50 0.268400\n0.75 1.063550\nName: 3500, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3794165111207546, std values: 5.038112913108606, min values: 1.4995e-06, max values: 42.721, median values: 0.1844, and quantile values: 0.25 0.060807\n0.50 0.184400\n0.75 0.761710\nName: 3501, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.437769621235849, std values: 4.733074642307442, min values: 1.5088e-06, max values: 38.508, median values: 0.24752, and quantile values: 0.25 0.062710\n0.50 0.247520\n0.75 0.882765\nName: 3502, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3387488022506289, std values: 5.020293172905665, min values: 8.2705e-07, max values: 42.649, median values: 0.18334, and quantile values: 0.25 0.050063\n0.50 0.183340\n0.75 0.707655\nName: 3503, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.645681275651195, std values: 4.962258678840944, min values: 5.7684e-07, max values: 40.058, median values: 0.24509, and quantile values: 0.25 0.073723\n0.50 0.245090\n0.75 1.131550\nName: 3504, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5060882752742137, std values: 5.20136847846639, min values: 2.6527e-06, max values: 43.923, median values: 0.26539, and quantile values: 0.25 0.068175\n0.50 0.265390\n0.75 0.864450\nName: 3505, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2888140838798743, std values: 4.600044616653658, min values: 1.6887e-06, max values: 39.242, median values: 0.16872, and quantile values: 0.25 0.052431\n0.50 0.168720\n0.75 0.703445\nName: 3506, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6674125225075471, std values: 5.305895060139481, min values: 2.2691e-06, max values: 44.393, median values: 0.25555, and quantile values: 0.25 0.073601\n0.50 0.255550\n0.75 1.034205\nName: 3507, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.359957579029503, std values: 4.840563796947602, min values: 4.3371e-08, max values: 40.84, median values: 0.18314, and quantile values: 0.25 0.046779\n0.50 0.183140\n0.75 0.725075\nName: 3508, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3031390019540878, std values: 4.761473109896716, min values: 1.8197e-06, max values: 38.872, median values: 0.16963, and quantile values: 0.25 0.058290\n0.50 0.169630\n0.75 0.731275\nName: 3509, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1609529519454715, std values: 4.498011931573599, min values: 2.1604e-07, max values: 36.216, median values: 0.14042, and quantile values: 0.25 0.034497\n0.50 0.140420\n0.75 0.529945\nName: 3510, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6466145809366666, std values: 4.9383110975534805, min values: 4.7983e-07, max values: 38.965, median values: 0.26034, and quantile values: 0.25 0.066942\n0.50 0.260340\n0.75 1.162100\nName: 3511, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6301660993974845, std values: 5.373267120670497, min values: 4.0051e-06, max values: 45.705, median values: 0.24832, and quantile values: 0.25 0.064382\n0.50 0.248320\n0.75 0.976710\nName: 3512, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5067193382949684, std values: 4.786728878006957, min values: 3.0814e-06, max values: 39.505, median values: 0.22956, and quantile values: 0.25 0.070118\n0.50 0.229560\n0.75 0.930205\nName: 3513, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.405692820287673, std values: 4.787146569194454, min values: 2.9114e-07, max values: 38.721, median values: 0.20084, and quantile values: 0.25 0.045908\n0.50 0.200840\n0.75 0.868015\nName: 3514, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6801813181113205, std values: 5.0616242328637755, min values: 4.6732e-06, max values: 40.302, median values: 0.27914, and quantile values: 0.25 0.081381\n0.50 0.279140\n0.75 1.073000\nName: 3515, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8419877910204403, std values: 5.285532967220327, min values: 7.2165e-07, max values: 43.464, median values: 0.31266, and quantile values: 0.25 0.082092\n0.50 0.312660\n0.75 1.320600\nName: 3516, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.540307515698742, std values: 4.866814399583019, min values: 1.5516e-06, max values: 38.839, median values: 0.23295, and quantile values: 0.25 0.067783\n0.50 0.232950\n0.75 1.013405\nName: 3517, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.451262977186289, std values: 4.781380788895677, min values: 1.4792e-07, max values: 38.063, median values: 0.21807, and quantile values: 0.25 0.057209\n0.50 0.218070\n0.75 0.878745\nName: 3518, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6433343692490567, std values: 5.057113635029684, min values: 3.7458e-06, max values: 39.77, median values: 0.24917, and quantile values: 0.25 0.075271\n0.50 0.249170\n0.75 1.066900\nName: 3519, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3618701666438429, std values: 4.935546381684831, min values: 2.2281e-08, max values: 42.707, median values: 0.17857, and quantile values: 0.25 0.040479\n0.50 0.178570\n0.75 0.710145\nName: 3520, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3926589201207547, std values: 4.788380558876348, min values: 1.3303e-06, max values: 39.014, median values: 0.20604, and quantile values: 0.25 0.061361\n0.50 0.206040\n0.75 0.804060\nName: 3521, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4267476284893081, std values: 4.539107127070797, min values: 1.1118e-06, max values: 37.771, median values: 0.25148, and quantile values: 0.25 0.066113\n0.50 0.251480\n0.75 0.898250\nName: 3522, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.447084003916346, std values: 4.94278765974328, min values: 1.9899e-08, max values: 41.147, median values: 0.18291, and quantile values: 0.25 0.052126\n0.50 0.182910\n0.75 0.761820\nName: 3523, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5502123953459122, std values: 5.051274765519516, min values: 1.6456e-06, max values: 41.332, median values: 0.23974, and quantile values: 0.25 0.067123\n0.50 0.239740\n0.75 0.970665\nName: 3524, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2747086895276731, std values: 4.7095826982727615, min values: 2.0222e-06, max values: 41.215, median values: 0.16206, and quantile values: 0.25 0.048935\n0.50 0.162060\n0.75 0.634010\nName: 3525, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4467998501515724, std values: 5.172444931960639, min values: 1.7325e-06, max values: 44.549, median values: 0.19792, and quantile values: 0.25 0.061333\n0.50 0.197920\n0.75 0.855955\nName: 3526, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4334899917823898, std values: 4.910851342368845, min values: 2.2922e-06, max values: 39.762, median values: 0.20387, and quantile values: 0.25 0.062064\n0.50 0.203870\n0.75 0.781455\nName: 3527, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6246778499911951, std values: 4.934511568377927, min values: 3.7276e-06, max values: 39.523, median values: 0.29887, and quantile values: 0.25 0.077108\n0.50 0.298870\n0.75 1.049500\nName: 3528, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7142157457056606, std values: 5.223448385362775, min values: 1.2713e-06, max values: 43.691, median values: 0.28413, and quantile values: 0.25 0.081225\n0.50 0.284130\n0.75 1.164000\nName: 3529, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5278674499012577, std values: 5.210342222317671, min values: 1.1578e-06, max values: 45.189, median values: 0.2438, and quantile values: 0.25 0.057542\n0.50 0.243800\n0.75 0.970470\nName: 3530, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3419159735949053, std values: 4.625435923948065, min values: 4.7229e-07, max values: 37.078, median values: 0.17649, and quantile values: 0.25 0.049966\n0.50 0.176490\n0.75 0.724975\nName: 3531, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5155252406949684, std values: 5.106157779535292, min values: 1.5672e-06, max values: 42.796, median values: 0.22167, and quantile values: 0.25 0.065891\n0.50 0.221670\n0.75 0.962290\nName: 3532, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6520664265213838, std values: 5.122794859035466, min values: 1.3011e-06, max values: 41.862, median values: 0.28891, and quantile values: 0.25 0.067427\n0.50 0.288910\n0.75 1.097900\nName: 3533, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6203642540037737, std values: 5.12725920038647, min values: 2.715e-06, max values: 41.391, median values: 0.28982, and quantile values: 0.25 0.072314\n0.50 0.289820\n0.75 0.983455\nName: 3534, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.42065112711761, std values: 5.091102760709582, min values: 1.2218e-06, max values: 44.212, median values: 0.22029, and quantile values: 0.25 0.069139\n0.50 0.220290\n0.75 0.787150\nName: 3535, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3646940832169812, std values: 4.597134227778398, min values: 2.2606e-06, max values: 38.892, median values: 0.21674, and quantile values: 0.25 0.059875\n0.50 0.216740\n0.75 0.794490\nName: 3536, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.364647981640761, std values: 4.770603966176862, min values: 6.7021e-08, max values: 39.112, median values: 0.19755, and quantile values: 0.25 0.045260\n0.50 0.197550\n0.75 0.715165\nName: 3537, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5137587327603772, std values: 5.1414743921074715, min values: 1.2505e-06, max values: 43.663, median values: 0.22117, and quantile values: 0.25 0.064662\n0.50 0.221170\n0.75 0.919085\nName: 3538, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6788874757037735, std values: 4.959513574955003, min values: 2.8475e-06, max values: 40.442, median values: 0.29739, and quantile values: 0.25 0.078108\n0.50 0.297390\n0.75 1.154550\nName: 3539, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5049788407110691, std values: 4.826011598002997, min values: 9.7006e-07, max values: 38.138, median values: 0.1979, and quantile values: 0.25 0.071318\n0.50 0.197900\n0.75 0.964730\nName: 3540, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4245618877086792, std values: 4.724438083909441, min values: 4.1688e-07, max values: 37.177, median values: 0.18897, and quantile values: 0.25 0.055194\n0.50 0.188970\n0.75 0.809275\nName: 3541, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.369767005180503, std values: 4.869336834975775, min values: 2.4338e-06, max values: 39.539, median values: 0.204, and quantile values: 0.25 0.065356\n0.50 0.204000\n0.75 0.703845\nName: 3542, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6670953713698113, std values: 5.043353847757912, min values: 2.8135e-06, max values: 39.725, median values: 0.31722, and quantile values: 0.25 0.086186\n0.50 0.317220\n0.75 1.120450\nName: 3543, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.534877992844654, std values: 4.945581865185455, min values: 1.9424e-06, max values: 39.369, median values: 0.25219, and quantile values: 0.25 0.071203\n0.50 0.252190\n0.75 0.957770\nName: 3544, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.573440298790566, std values: 5.260578831446681, min values: 3.6324e-06, max values: 44.258, median values: 0.23112, and quantile values: 0.25 0.06800\n0.50 0.23112\n0.75 0.90675\nName: 3545, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3479613595842765, std values: 5.029603404600564, min values: 1.1786e-06, max values: 42.059, median values: 0.17459, and quantile values: 0.25 0.053661\n0.50 0.174590\n0.75 0.724085\nName: 3546, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4085031657603773, std values: 4.861247883827154, min values: 1.3555e-06, max values: 39.431, median values: 0.19779, and quantile values: 0.25 0.057370\n0.50 0.197790\n0.75 0.808375\nName: 3547, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4344508349742136, std values: 4.933216886194203, min values: 3.7149e-06, max values: 40.269, median values: 0.21941, and quantile values: 0.25 0.066136\n0.50 0.219410\n0.75 0.757365\nName: 3548, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3639032075037736, std values: 4.99658338391322, min values: 3.3491e-06, max values: 40.574, median values: 0.2048, and quantile values: 0.25 0.058213\n0.50 0.204800\n0.75 0.731865\nName: 3549, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5361947091056605, std values: 5.026616637184356, min values: 3.3283e-06, max values: 39.888, median values: 0.25427, and quantile values: 0.25 0.073892\n0.50 0.254270\n0.75 0.897040\nName: 3550, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3806586070274214, std values: 5.016919105624735, min values: 1.0016e-07, max values: 44.042, median values: 0.17735, and quantile values: 0.25 0.038606\n0.50 0.177350\n0.75 0.684155\nName: 3551, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.473543798126604, std values: 4.808060184464858, min values: 1.6203e-07, max values: 38.459, median values: 0.18688, and quantile values: 0.25 0.056215\n0.50 0.186880\n0.75 0.840590\nName: 3552, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6005513178603772, std values: 4.936252052127785, min values: 4.582e-07, max values: 40.267, median values: 0.28094, and quantile values: 0.25 0.069261\n0.50 0.280940\n0.75 1.035300\nName: 3553, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5870463550725158, std values: 4.94201723192844, min values: 7.1603e-07, max values: 39.128, median values: 0.25933, and quantile values: 0.25 0.069052\n0.50 0.259330\n0.75 1.032750\nName: 3554, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5269674695484277, std values: 4.7763873452929495, min values: 3.1076e-06, max values: 39.711, median values: 0.26405, and quantile values: 0.25 0.080411\n0.50 0.264050\n0.75 0.932200\nName: 3555, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5190633881162892, std values: 4.737999733555353, min values: 1.2439e-07, max values: 37.374, median values: 0.23338, and quantile values: 0.25 0.064672\n0.50 0.233380\n0.75 1.059100\nName: 3556, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4064718713343396, std values: 4.945389386845018, min values: 9.9346e-07, max values: 41.092, median values: 0.18996, and quantile values: 0.25 0.060930\n0.50 0.189960\n0.75 0.809565\nName: 3557, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.438214198391195, std values: 5.0453400546998415, min values: 1.0373e-06, max values: 42.774, median values: 0.19388, and quantile values: 0.25 0.055149\n0.50 0.193880\n0.75 0.879065\nName: 3558, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2864551958754087, std values: 4.694978510861193, min values: 9.1369e-07, max values: 37.836, median values: 0.18331, and quantile values: 0.25 0.055752\n0.50 0.183310\n0.75 0.725840\nName: 3559, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2687859291272958, std values: 4.856321483884947, min values: 8.9074e-07, max values: 39.8, median values: 0.1514, and quantile values: 0.25 0.044319\n0.50 0.151400\n0.75 0.666325\nName: 3560, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6935957597691824, std values: 5.104137425157801, min values: 3.314e-06, max values: 40.377, median values: 0.27204, and quantile values: 0.25 0.071733\n0.50 0.272040\n0.75 1.068850\nName: 3561, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3508500500943397, std values: 4.890297588246819, min values: 1.561e-06, max values: 39.528, median values: 0.2021, and quantile values: 0.25 0.049538\n0.50 0.202100\n0.75 0.782490\nName: 3562, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3895251444477987, std values: 4.820830061731528, min values: 1.2822e-06, max values: 38.801, median values: 0.20126, and quantile values: 0.25 0.061631\n0.50 0.201260\n0.75 0.810365\nName: 3563, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9733091740314463, std values: 5.628920159700961, min values: 6.226e-06, max values: 46.056, median values: 0.33011, and quantile values: 0.25 0.093229\n0.50 0.330110\n0.75 1.310200\nName: 3564, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5310519344925786, std values: 4.990311587680395, min values: 4.1392e-07, max values: 41.069, median values: 0.24814, and quantile values: 0.25 0.062593\n0.50 0.248140\n0.75 0.977660\nName: 3565, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6657347115320758, std values: 4.979378507395942, min values: 3.2372e-06, max values: 39.539, median values: 0.24837, and quantile values: 0.25 0.075575\n0.50 0.248370\n0.75 1.067250\nName: 3566, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5333129250044024, std values: 5.10472022084774, min values: 2.2591e-06, max values: 41.785, median values: 0.23517, and quantile values: 0.25 0.063406\n0.50 0.235170\n0.75 0.926700\nName: 3567, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7022858921887418, std values: 5.2297113714078485, min values: 4.6491e-07, max values: 44.413, median values: 0.26676, and quantile values: 0.25 0.073597\n0.50 0.266760\n0.75 1.161050\nName: 3568, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5570094446767295, std values: 4.881247198399807, min values: 2.7854e-06, max values: 40.269, median values: 0.23659, and quantile values: 0.25 0.077619\n0.50 0.236590\n0.75 0.991990\nName: 3569, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.401045502925937, std values: 5.0624574947675, min values: 1.6124e-08, max values: 43.908, median values: 0.1771, and quantile values: 0.25 0.047131\n0.50 0.177100\n0.75 0.760255\nName: 3570, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5895079299679244, std values: 4.8249077788091785, min values: 5.7894e-06, max values: 40.413, median values: 0.24913, and quantile values: 0.25 0.085214\n0.50 0.249130\n0.75 1.029500\nName: 3571, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6771556517861637, std values: 5.051204467199785, min values: 3.5125e-06, max values: 40.492, median values: 0.26656, and quantile values: 0.25 0.083331\n0.50 0.266560\n0.75 1.074000\nName: 3572, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3711727668561633, std values: 4.903865597133119, min values: 2.7613e-07, max values: 40.711, median values: 0.19326, and quantile values: 0.25 0.056649\n0.50 0.193260\n0.75 0.762350\nName: 3573, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6357469855704405, std values: 5.165051613844796, min values: 1.317e-06, max values: 40.865, median values: 0.26617, and quantile values: 0.25 0.070338\n0.50 0.266170\n0.75 1.007560\nName: 3574, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4557159005647167, std values: 4.685576872747376, min values: 9.7299e-07, max values: 38.296, median values: 0.24036, and quantile values: 0.25 0.060977\n0.50 0.240360\n0.75 0.885160\nName: 3575, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6649336771666667, std values: 5.12963442699289, min values: 3.7912e-06, max values: 40.446, median values: 0.25805, and quantile values: 0.25 0.079046\n0.50 0.258050\n0.75 1.000535\nName: 3576, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.244492052994635, std values: 4.669062424099156, min values: 2.4237e-08, max values: 37.92, median values: 0.16391, and quantile values: 0.25 0.04070\n0.50 0.16391\n0.75 0.62402\nName: 3577, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5201416652616981, std values: 5.0159941422072345, min values: 8.0091e-07, max values: 41.666, median values: 0.2139, and quantile values: 0.25 0.06533\n0.50 0.21390\n0.75 0.93118\nName: 3578, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4904255816861636, std values: 4.9808735579447045, min values: 1.7548e-06, max values: 39.729, median values: 0.24505, and quantile values: 0.25 0.063964\n0.50 0.245050\n0.75 0.894880\nName: 3579, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3357961333125783, std values: 4.674645876214068, min values: 1.5386e-06, max values: 39.485, median values: 0.18842, and quantile values: 0.25 0.057873\n0.50 0.188420\n0.75 0.714685\nName: 3580, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.755905898428302, std values: 5.1068579925904825, min values: 2.915e-06, max values: 39.543, median values: 0.29717, and quantile values: 0.25 0.08434\n0.50 0.29717\n0.75 1.25260\nName: 3581, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9007158984735848, std values: 5.440535093442824, min values: 9.4603e-06, max values: 41.78, median values: 0.34052, and quantile values: 0.25 0.094009\n0.50 0.340520\n0.75 1.219400\nName: 3582, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4987718183955976, std values: 4.94292043331713, min values: 1.5902e-06, max values: 39.722, median values: 0.22667, and quantile values: 0.25 0.063526\n0.50 0.226670\n0.75 0.860880\nName: 3583, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5580633411231821, std values: 4.881378027413714, min values: 0.0, max values: 39.62, median values: 0.18841, and quantile values: 0.25 0.046823\n0.50 0.188410\n0.75 0.977085\nName: 3584, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4176797369477987, std values: 4.917050079859275, min values: 1.9014e-06, max values: 40.163, median values: 0.21257, and quantile values: 0.25 0.060492\n0.50 0.212570\n0.75 0.803340\nName: 3585, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4609579968102642, std values: 4.761994247706343, min values: 2.8716e-08, max values: 38.964, median values: 0.22023, and quantile values: 0.25 0.047737\n0.50 0.220230\n0.75 0.869025\nName: 3586, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6245327583194966, std values: 5.004326521547909, min values: 2.6173e-06, max values: 39.613, median values: 0.25858, and quantile values: 0.25 0.084623\n0.50 0.258580\n0.75 1.067800\nName: 3587, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4032237302157233, std values: 4.932644856556202, min values: 1.991e-06, max values: 40.614, median values: 0.20475, and quantile values: 0.25 0.059742\n0.50 0.204750\n0.75 0.804050\nName: 3588, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2859638923653458, std values: 4.826151667225705, min values: 4.9189e-07, max values: 40.796, median values: 0.17122, and quantile values: 0.25 0.05121\n0.50 0.17122\n0.75 0.70004\nName: 3589, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6581613305987424, std values: 4.842412097469836, min values: 4.4983e-06, max values: 40.064, median values: 0.30395, and quantile values: 0.25 0.090241\n0.50 0.303950\n0.75 1.051800\nName: 3590, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3526761197276727, std values: 4.854871481470979, min values: 1.6834e-06, max values: 39.739, median values: 0.19808, and quantile values: 0.25 0.053820\n0.50 0.198080\n0.75 0.748895\nName: 3591, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6684506870440252, std values: 5.07780183743991, min values: 5.8287e-06, max values: 40.331, median values: 0.2976, and quantile values: 0.25 0.081293\n0.50 0.297600\n0.75 1.041200\nName: 3592, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5060367280569185, std values: 4.735398627552706, min values: 8.4045e-07, max values: 38.518, median values: 0.23011, and quantile values: 0.25 0.06209\n0.50 0.23011\n0.75 1.01663\nName: 3593, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4091866184677986, std values: 4.894081724929031, min values: 5.3118e-07, max values: 40.365, median values: 0.17677, and quantile values: 0.25 0.051492\n0.50 0.176770\n0.75 0.763170\nName: 3594, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.59332696771761, std values: 4.993049778962686, min values: 4.129e-06, max values: 39.863, median values: 0.24964, and quantile values: 0.25 0.078561\n0.50 0.249640\n0.75 0.995805\nName: 3595, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5216694313301888, std values: 5.023226958615117, min values: 1.7929e-06, max values: 41.695, median values: 0.24415, and quantile values: 0.25 0.073034\n0.50 0.244150\n0.75 0.878690\nName: 3596, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5901858203660377, std values: 4.9462399581139636, min values: 1.2614e-06, max values: 38.992, median values: 0.24219, and quantile values: 0.25 0.070221\n0.50 0.242190\n0.75 1.028200\nName: 3597, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3844846821265406, std values: 4.63547821562125, min values: 2.5322e-07, max values: 37.216, median values: 0.2145, and quantile values: 0.25 0.056694\n0.50 0.214500\n0.75 0.855065\nName: 3598, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4967001958924528, std values: 4.726750817473428, min values: 1.515e-06, max values: 38.544, median values: 0.25098, and quantile values: 0.25 0.075833\n0.50 0.250980\n0.75 0.943775\nName: 3599, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4511381755352202, std values: 5.075055827468742, min values: 2.5884e-06, max values: 42.244, median values: 0.22057, and quantile values: 0.25 0.065739\n0.50 0.220570\n0.75 0.860555\nName: 3600, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4826232285067296, std values: 4.971866118315753, min values: 5.3827e-07, max values: 41.376, median values: 0.22889, and quantile values: 0.25 0.052931\n0.50 0.228890\n0.75 0.864845\nName: 3601, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4098427845530128, std values: 4.993722428206924, min values: 9.7849e-08, max values: 43.36, median values: 0.16122, and quantile values: 0.25 0.042370\n0.50 0.161220\n0.75 0.789235\nName: 3602, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7300658288314466, std values: 5.198458625109939, min values: 1.3175e-06, max values: 42.424, median values: 0.28771, and quantile values: 0.25 0.07531\n0.50 0.28771\n0.75 1.07565\nName: 3603, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4790438003018869, std values: 5.036999548881319, min values: 1.321e-06, max values: 42.027, median values: 0.21042, and quantile values: 0.25 0.067831\n0.50 0.210420\n0.75 0.862225\nName: 3604, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7059406479572328, std values: 5.096106926789128, min values: 4.6032e-06, max values: 39.847, median values: 0.28851, and quantile values: 0.25 0.077665\n0.50 0.288510\n0.75 1.074450\nName: 3605, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.487131334601698, std values: 4.703241146951747, min values: 8.8997e-07, max values: 38.431, median values: 0.2362, and quantile values: 0.25 0.068789\n0.50 0.236200\n0.75 0.950030\nName: 3606, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5498789170314466, std values: 5.12593923193009, min values: 1.4498e-06, max values: 43.016, median values: 0.21823, and quantile values: 0.25 0.064583\n0.50 0.218230\n0.75 0.932675\nName: 3607, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3401798774335598, std values: 4.601014591915872, min values: 2.2426e-08, max values: 36.532, median values: 0.20141, and quantile values: 0.25 0.048965\n0.50 0.201410\n0.75 0.731070\nName: 3608, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7006395523584905, std values: 5.244476873698824, min values: 2.1043e-06, max values: 43.354, median values: 0.28411, and quantile values: 0.25 0.081652\n0.50 0.284110\n0.75 1.171500\nName: 3609, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8210495367056603, std values: 5.291526041761765, min values: 4.8958e-06, max values: 41.338, median values: 0.31758, and quantile values: 0.25 0.090751\n0.50 0.317580\n0.75 1.235400\nName: 3610, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4305136339494655, std values: 4.796557548075084, min values: 2.1785e-08, max values: 38.419, median values: 0.18526, and quantile values: 0.25 0.049933\n0.50 0.185260\n0.75 0.821295\nName: 3611, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3690222625693709, std values: 4.880795700426417, min values: 8.5783e-07, max values: 39.898, median values: 0.18794, and quantile values: 0.25 0.055584\n0.50 0.187940\n0.75 0.686645\nName: 3612, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8186587719584906, std values: 5.17145659807746, min values: 4.1277e-06, max values: 39.46, median values: 0.33876, and quantile values: 0.25 0.10225\n0.50 0.33876\n0.75 1.17520\nName: 3613, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4327871383657236, std values: 4.915097127507185, min values: 6.5525e-07, max values: 41.148, median values: 0.17893, and quantile values: 0.25 0.046874\n0.50 0.178930\n0.75 0.786715\nName: 3614, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1964887313716353, std values: 4.844221165008555, min values: 4.071e-08, max values: 42.465, median values: 0.12528, and quantile values: 0.25 0.029369\n0.50 0.125280\n0.75 0.564680\nName: 3615, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.573394619054717, std values: 4.802597378262737, min values: 3.5793e-06, max values: 39.376, median values: 0.27364, and quantile values: 0.25 0.080673\n0.50 0.273640\n0.75 0.971310\nName: 3616, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4388721702572957, std values: 4.827557887229043, min values: 5.1891e-07, max values: 38.836, median values: 0.20012, and quantile values: 0.25 0.062226\n0.50 0.200120\n0.75 0.900855\nName: 3617, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4644743514849057, std values: 5.239369315627688, min values: 3.6716e-06, max values: 43.356, median values: 0.21268, and quantile values: 0.25 0.050076\n0.50 0.212680\n0.75 0.781820\nName: 3618, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.72363018078805, std values: 5.025660435045545, min values: 3.1399e-06, max values: 38.753, median values: 0.33221, and quantile values: 0.25 0.094116\n0.50 0.332210\n0.75 1.161400\nName: 3619, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2640779916469183, std values: 4.560102384479033, min values: 5.3565e-07, max values: 36.403, median values: 0.16961, and quantile values: 0.25 0.045168\n0.50 0.169610\n0.75 0.656345\nName: 3620, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4653860245792452, std values: 5.0193347830259185, min values: 1.5026e-06, max values: 41.658, median values: 0.23573, and quantile values: 0.25 0.066930\n0.50 0.235730\n0.75 0.853175\nName: 3621, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3663948830345911, std values: 4.677334979998117, min values: 1.4763e-06, max values: 39.322, median values: 0.19418, and quantile values: 0.25 0.058153\n0.50 0.194180\n0.75 0.790620\nName: 3622, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4836594561245284, std values: 5.010919416758503, min values: 2.5915e-06, max values: 40.569, median values: 0.21601, and quantile values: 0.25 0.060659\n0.50 0.216010\n0.75 0.901495\nName: 3623, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5342293658444024, std values: 5.147945575221111, min values: 8.0386e-07, max values: 44.115, median values: 0.27102, and quantile values: 0.25 0.072063\n0.50 0.271020\n0.75 0.885615\nName: 3624, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5610743761501007, std values: 5.143664174519345, min values: 2.1196e-08, max values: 45.271, median values: 0.19498, and quantile values: 0.25 0.049108\n0.50 0.194980\n0.75 0.921345\nName: 3625, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.291201096573025, std values: 4.5645955091813954, min values: 1.7171e-08, max values: 36.5, median values: 0.15793, and quantile values: 0.25 0.039293\n0.50 0.157930\n0.75 0.644805\nName: 3626, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.319499274857799, std values: 4.507382347032407, min values: 2.9313e-07, max values: 36.895, median values: 0.18267, and quantile values: 0.25 0.047672\n0.50 0.182670\n0.75 0.790845\nName: 3627, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7546415978125787, std values: 5.1294778314445875, min values: 1.9769e-06, max values: 41.226, median values: 0.30048, and quantile values: 0.25 0.077753\n0.50 0.300480\n0.75 1.179550\nName: 3628, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.585665967018868, std values: 4.837247437543776, min values: 1.8803e-06, max values: 39.397, median values: 0.25723, and quantile values: 0.25 0.074841\n0.50 0.257230\n0.75 1.046100\nName: 3629, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7011109212100626, std values: 5.024708052364953, min values: 3.1429e-06, max values: 39.376, median values: 0.29266, and quantile values: 0.25 0.08213\n0.50 0.29266\n0.75 1.16495\nName: 3630, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6107601018075475, std values: 5.255906118702734, min values: 1.3491e-06, max values: 45.202, median values: 0.2428, and quantile values: 0.25 0.060344\n0.50 0.242800\n0.75 0.925295\nName: 3631, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3435029639924527, std values: 4.936744213182608, min values: 1.0532e-06, max values: 40.605, median values: 0.18767, and quantile values: 0.25 0.047786\n0.50 0.187670\n0.75 0.726820\nName: 3632, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5025636282813208, std values: 4.750667855260449, min values: 9.0563e-07, max values: 37.329, median values: 0.23094, and quantile values: 0.25 0.057288\n0.50 0.230940\n0.75 0.958060\nName: 3633, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4717250527125785, std values: 4.789598310415249, min values: 1.9583e-06, max values: 39.446, median values: 0.20961, and quantile values: 0.25 0.060968\n0.50 0.209610\n0.75 0.877330\nName: 3634, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3337100721655915, std values: 4.850003124060145, min values: 1.7829e-08, max values: 40.234, median values: 0.16792, and quantile values: 0.25 0.046701\n0.50 0.167920\n0.75 0.698230\nName: 3635, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3095497422674842, std values: 4.732194613604863, min values: 3.8853e-07, max values: 38.2, median values: 0.17458, and quantile values: 0.25 0.047647\n0.50 0.174580\n0.75 0.703650\nName: 3636, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4790771267502516, std values: 4.863187279843887, min values: 2.8689e-07, max values: 39.865, median values: 0.21298, and quantile values: 0.25 0.055425\n0.50 0.212980\n0.75 0.866710\nName: 3637, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5197689071792453, std values: 4.980691720588443, min values: 1.4737e-06, max values: 40.024, median values: 0.22113, and quantile values: 0.25 0.064555\n0.50 0.221130\n0.75 0.856355\nName: 3638, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5930263218157232, std values: 5.0327414998055096, min values: 2.4176e-06, max values: 40.131, median values: 0.26231, and quantile values: 0.25 0.069968\n0.50 0.262310\n0.75 1.022865\nName: 3639, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4281068445308176, std values: 5.113590665067636, min values: 2.9301e-06, max values: 41.655, median values: 0.18841, and quantile values: 0.25 0.052344\n0.50 0.188410\n0.75 0.771035\nName: 3640, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6508647420100633, std values: 4.9682910439336085, min values: 1.2619e-06, max values: 39.03, median values: 0.29664, and quantile values: 0.25 0.076787\n0.50 0.296640\n0.75 1.110350\nName: 3641, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2634148745193963, std values: 4.576660527427732, min values: 8.6884e-08, max values: 37.394, median values: 0.17095, and quantile values: 0.25 0.048726\n0.50 0.170950\n0.75 0.689940\nName: 3642, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2979381877494527, std values: 4.469954835845819, min values: 8.7763e-08, max values: 37.165, median values: 0.17103, and quantile values: 0.25 0.050183\n0.50 0.171030\n0.75 0.793550\nName: 3643, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.580824083936478, std values: 5.100833661422395, min values: 3.4508e-06, max values: 40.819, median values: 0.2637, and quantile values: 0.25 0.075811\n0.50 0.263700\n0.75 0.961355\nName: 3644, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2791074940132074, std values: 4.448489250610103, min values: 1.3786e-06, max values: 38.317, median values: 0.19052, and quantile values: 0.25 0.056019\n0.50 0.190520\n0.75 0.761010\nName: 3645, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.649419430591132, std values: 5.1843758207422255, min values: 2.7499e-07, max values: 44.497, median values: 0.24828, and quantile values: 0.25 0.060867\n0.50 0.248280\n0.75 1.118450\nName: 3646, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6212507945289307, std values: 4.8119419940002635, min values: 1.992e-06, max values: 38.78, median values: 0.28403, and quantile values: 0.25 0.085919\n0.50 0.284030\n0.75 1.085800\nName: 3647, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.369588609226352, std values: 4.705539347571044, min values: 3.4439e-07, max values: 37.631, median values: 0.19315, and quantile values: 0.25 0.052683\n0.50 0.193150\n0.75 0.745730\nName: 3648, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4484463291638991, std values: 4.649000920091648, min values: 5.2136e-07, max values: 37.183, median values: 0.23002, and quantile values: 0.25 0.066577\n0.50 0.230020\n0.75 0.897650\nName: 3649, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3559362003352202, std values: 4.837168315484337, min values: 3.5696e-06, max values: 40.241, median values: 0.19035, and quantile values: 0.25 0.059892\n0.50 0.190350\n0.75 0.756760\nName: 3650, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4193704807327043, std values: 4.873233254645617, min values: 2.4935e-06, max values: 39.753, median values: 0.21227, and quantile values: 0.25 0.061542\n0.50 0.212270\n0.75 0.865360\nName: 3651, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4397275409962262, std values: 4.944798699336723, min values: 3.0064e-06, max values: 41.096, median values: 0.17999, and quantile values: 0.25 0.056224\n0.50 0.179990\n0.75 0.715880\nName: 3652, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4920270156295596, std values: 4.927705832100534, min values: 1.3171e-06, max values: 39.297, median values: 0.21564, and quantile values: 0.25 0.055865\n0.50 0.215640\n0.75 0.934945\nName: 3653, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7361597333301888, std values: 5.71015824787533, min values: 1.6864e-06, max values: 52.803, median values: 0.29849, and quantile values: 0.25 0.068243\n0.50 0.298490\n0.75 1.125650\nName: 3654, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.469602880965409, std values: 4.868549284868257, min values: 8.429e-07, max values: 39.377, median values: 0.24147, and quantile values: 0.25 0.068092\n0.50 0.241470\n0.75 0.871650\nName: 3655, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.363689560380503, std values: 4.7420235497184455, min values: 1.5955e-06, max values: 38.509, median values: 0.18427, and quantile values: 0.25 0.054495\n0.50 0.184270\n0.75 0.780235\nName: 3656, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.404013517480503, std values: 4.981845576544007, min values: 1.457e-06, max values: 40.056, median values: 0.20365, and quantile values: 0.25 0.056912\n0.50 0.203650\n0.75 0.846605\nName: 3657, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3587554944151194, std values: 4.739734142891237, min values: 5.1804e-08, max values: 38.131, median values: 0.17104, and quantile values: 0.25 0.049282\n0.50 0.171040\n0.75 0.754845\nName: 3658, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4702146461099372, std values: 4.849144826002135, min values: 1.2002e-07, max values: 39.64, median values: 0.17177, and quantile values: 0.25 0.047037\n0.50 0.171770\n0.75 0.862680\nName: 3659, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4869764256070566, std values: 5.015593128952321, min values: 2.4162e-08, max values: 42.915, median values: 0.21239, and quantile values: 0.25 0.050162\n0.50 0.212390\n0.75 0.846945\nName: 3660, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4942050592987421, std values: 5.1225317498181715, min values: 1.3522e-06, max values: 43.702, median values: 0.21179, and quantile values: 0.25 0.066197\n0.50 0.211790\n0.75 0.882275\nName: 3661, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6007344793415095, std values: 5.1739300061374465, min values: 3.9424e-06, max values: 40.876, median values: 0.23956, and quantile values: 0.25 0.066670\n0.50 0.239560\n0.75 0.865895\nName: 3662, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5101291841513835, std values: 5.04601423866387, min values: 2.4207e-07, max values: 42.94, median values: 0.22273, and quantile values: 0.25 0.061986\n0.50 0.222730\n0.75 0.980310\nName: 3663, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7510830886943394, std values: 5.2865830197147075, min values: 1.2626e-06, max values: 44.443, median values: 0.29861, and quantile values: 0.25 0.078593\n0.50 0.298610\n0.75 1.205950\nName: 3664, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4357158223450943, std values: 4.958303403422448, min values: 5.1387e-07, max values: 41.011, median values: 0.19042, and quantile values: 0.25 0.053836\n0.50 0.190420\n0.75 0.836240\nName: 3665, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3234085989308177, std values: 4.566839408859621, min values: 1.9949e-06, max values: 38.679, median values: 0.20448, and quantile values: 0.25 0.057413\n0.50 0.204480\n0.75 0.742930\nName: 3666, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3322887793503144, std values: 4.833302724954718, min values: 1.8006e-06, max values: 39.379, median values: 0.15707, and quantile values: 0.25 0.053469\n0.50 0.157070\n0.75 0.771910\nName: 3667, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6219553574415468, std values: 4.767668874742837, min values: 3.1066e-08, max values: 36.672, median values: 0.25043, and quantile values: 0.25 0.055806\n0.50 0.250430\n0.75 1.162300\nName: 3668, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4069040588930377, std values: 4.929208212963284, min values: 1.7093e-08, max values: 42.368, median values: 0.16201, and quantile values: 0.25 0.033816\n0.50 0.162010\n0.75 0.745455\nName: 3669, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3590188578323898, std values: 4.77491918786105, min values: 9.9475e-07, max values: 38.304, median values: 0.20203, and quantile values: 0.25 0.059201\n0.50 0.202030\n0.75 0.790660\nName: 3670, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6837284288968553, std values: 5.2011251954532565, min values: 1.6368e-06, max values: 42.884, median values: 0.29975, and quantile values: 0.25 0.068213\n0.50 0.299750\n0.75 1.146700\nName: 3671, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.54618414762, std values: 4.9386973257775, min values: 8.0968e-07, max values: 39.651, median values: 0.2214, and quantile values: 0.25 0.065699\n0.50 0.221400\n0.75 1.037345\nName: 3672, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.265258726271698, std values: 4.81672714255088, min values: 1.5649e-06, max values: 39.721, median values: 0.18474, and quantile values: 0.25 0.052658\n0.50 0.184740\n0.75 0.613070\nName: 3673, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.507600961110692, std values: 4.947911179778426, min values: 8.0886e-06, max values: 42.364, median values: 0.22112, and quantile values: 0.25 0.070064\n0.50 0.221120\n0.75 0.811380\nName: 3674, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6090932096735848, std values: 5.053756211595482, min values: 5.1599e-06, max values: 40.575, median values: 0.2556, and quantile values: 0.25 0.07338\n0.50 0.25560\n0.75 0.90864\nName: 3675, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4047622179831447, std values: 4.779243704034038, min values: 6.6522e-07, max values: 37.997, median values: 0.20202, and quantile values: 0.25 0.056159\n0.50 0.202020\n0.75 0.817895\nName: 3676, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4633269060749055, std values: 4.96915928995779, min values: 7.3731e-07, max values: 40.949, median values: 0.23873, and quantile values: 0.25 0.061472\n0.50 0.238730\n0.75 0.879420\nName: 3677, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3091185207412328, std values: 4.677451665154449, min values: 2.3556e-08, max values: 37.464, median values: 0.16838, and quantile values: 0.25 0.045534\n0.50 0.168380\n0.75 0.781985\nName: 3678, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7400665870025156, std values: 5.130690875888552, min values: 3.6262e-06, max values: 40.251, median values: 0.28464, and quantile values: 0.25 0.089891\n0.50 0.284640\n0.75 1.163400\nName: 3679, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.459587290108176, std values: 4.823199456831992, min values: 1.9315e-06, max values: 39.724, median values: 0.21613, and quantile values: 0.25 0.054544\n0.50 0.216130\n0.75 0.926235\nName: 3680, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7215308962006293, std values: 4.962211424767719, min values: 1.4448e-06, max values: 39.505, median values: 0.29077, and quantile values: 0.25 0.072534\n0.50 0.290770\n0.75 1.202450\nName: 3681, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4207191003773587, std values: 4.742547166690336, min values: 2.7035e-06, max values: 38.962, median values: 0.22634, and quantile values: 0.25 0.057184\n0.50 0.226340\n0.75 0.812645\nName: 3682, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5695865077993711, std values: 4.837069151373995, min values: 1.6443e-06, max values: 38.92, median values: 0.2822, and quantile values: 0.25 0.075305\n0.50 0.282200\n0.75 1.036580\nName: 3683, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4436062956344025, std values: 4.608942713717585, min values: 4.8327e-07, max values: 37.168, median values: 0.22381, and quantile values: 0.25 0.063354\n0.50 0.223810\n0.75 0.925465\nName: 3684, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4758544294742137, std values: 4.911554682445319, min values: 2.3506e-06, max values: 39.022, median values: 0.22195, and quantile values: 0.25 0.073268\n0.50 0.221950\n0.75 0.869545\nName: 3685, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.635300330690566, std values: 4.96747423633745, min values: 1.5706e-06, max values: 39.209, median values: 0.2479, and quantile values: 0.25 0.066318\n0.50 0.247900\n0.75 1.017550\nName: 3686, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5122985458100626, std values: 4.962823995384242, min values: 2.6115e-06, max values: 39.393, median values: 0.28163, and quantile values: 0.25 0.072149\n0.50 0.281630\n0.75 0.951795\nName: 3687, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4674072910232077, std values: 5.133097915097828, min values: 1.2129e-07, max values: 45.11, median values: 0.19396, and quantile values: 0.25 0.051068\n0.50 0.193960\n0.75 0.785400\nName: 3688, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6275560259226416, std values: 4.981155858492607, min values: 3.9911e-06, max values: 40.337, median values: 0.25991, and quantile values: 0.25 0.07347\n0.50 0.25991\n0.75 1.04620\nName: 3689, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2700427954633333, std values: 4.440859639820815, min values: 3.6607e-07, max values: 36.544, median values: 0.1544, and quantile values: 0.25 0.051681\n0.50 0.154400\n0.75 0.724015\nName: 3690, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4673762306704403, std values: 4.895101232424882, min values: 3.0587e-06, max values: 39.537, median values: 0.21301, and quantile values: 0.25 0.069416\n0.50 0.213010\n0.75 0.877800\nName: 3691, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5488433941847233, std values: 4.95961943811168, min values: 2.2671e-08, max values: 40.218, median values: 0.2312, and quantile values: 0.25 0.057101\n0.50 0.231200\n0.75 1.023600\nName: 3692, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.493480479591635, std values: 4.863928889303932, min values: 9.9127e-07, max values: 38.858, median values: 0.22824, and quantile values: 0.25 0.060414\n0.50 0.228240\n0.75 0.889590\nName: 3693, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.518644568645912, std values: 4.971792944187323, min values: 1.7071e-06, max values: 40.085, median values: 0.23548, and quantile values: 0.25 0.074101\n0.50 0.235480\n0.75 0.949385\nName: 3694, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7573974698232706, std values: 5.247942772085008, min values: 4.4503e-06, max values: 39.909, median values: 0.27518, and quantile values: 0.25 0.091418\n0.50 0.275180\n0.75 1.017250\nName: 3695, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6555953032050317, std values: 5.287448644588804, min values: 3.5601e-06, max values: 43.578, median values: 0.263, and quantile values: 0.25 0.079585\n0.50 0.263000\n0.75 1.004700\nName: 3696, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4671901277456665, std values: 4.854564369642676, min values: 2.0818e-08, max values: 40.876, median values: 0.19837, and quantile values: 0.25 0.040915\n0.50 0.198370\n0.75 0.856165\nName: 3697, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.485959847245283, std values: 5.076666118667245, min values: 2.02e-06, max values: 41.576, median values: 0.24115, and quantile values: 0.25 0.065153\n0.50 0.241150\n0.75 0.865915\nName: 3698, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4698087464125786, std values: 5.000311943898766, min values: 2.028e-06, max values: 40.383, median values: 0.26487, and quantile values: 0.25 0.066034\n0.50 0.264870\n0.75 0.894305\nName: 3699, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2689793364138364, std values: 4.979495733039265, min values: 1.8391e-06, max values: 41.625, median values: 0.16898, and quantile values: 0.25 0.043681\n0.50 0.168980\n0.75 0.631020\nName: 3700, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6135351340691826, std values: 5.133021873632215, min values: 2.2407e-06, max values: 41.22, median values: 0.23921, and quantile values: 0.25 0.069357\n0.50 0.239210\n0.75 0.982825\nName: 3701, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2386308832770438, std values: 4.698140476476366, min values: 1.6588e-07, max values: 38.751, median values: 0.15224, and quantile values: 0.25 0.041679\n0.50 0.152240\n0.75 0.652660\nName: 3702, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4199544203641512, std values: 4.88611355433487, min values: 2.7285e-06, max values: 39.708, median values: 0.19654, and quantile values: 0.25 0.062236\n0.50 0.196540\n0.75 0.787050\nName: 3703, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.587974756344654, std values: 5.146801392409803, min values: 3.3261e-06, max values: 42.104, median values: 0.25814, and quantile values: 0.25 0.069131\n0.50 0.258140\n0.75 1.012800\nName: 3704, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3929258761966794, std values: 4.718101944648227, min values: 2.0572e-08, max values: 37.486, median values: 0.19506, and quantile values: 0.25 0.055206\n0.50 0.195060\n0.75 0.869190\nName: 3705, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.623716325543396, std values: 5.298098496571132, min values: 2.1662e-06, max values: 45.366, median values: 0.25804, and quantile values: 0.25 0.080103\n0.50 0.258040\n0.75 0.984265\nName: 3706, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2474725343535031, std values: 4.720867685748248, min values: 7.7177e-08, max values: 39.984, median values: 0.15366, and quantile values: 0.25 0.039052\n0.50 0.153660\n0.75 0.678660\nName: 3707, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.579353486281132, std values: 4.871139375099892, min values: 3.171e-06, max values: 40.029, median values: 0.26288, and quantile values: 0.25 0.082512\n0.50 0.262880\n0.75 0.988945\nName: 3708, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3905579243886792, std values: 4.829973095115478, min values: 6.833e-07, max values: 39.102, median values: 0.207, and quantile values: 0.25 0.052773\n0.50 0.207000\n0.75 0.794195\nName: 3709, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.529338494254088, std values: 4.894101350565398, min values: 1.704e-06, max values: 38.883, median values: 0.24719, and quantile values: 0.25 0.076612\n0.50 0.247190\n0.75 0.948840\nName: 3710, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6132684371974841, std values: 5.063825891993924, min values: 2.72e-06, max values: 40.224, median values: 0.29527, and quantile values: 0.25 0.069029\n0.50 0.295270\n0.75 1.072150\nName: 3711, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5415702655270442, std values: 4.93074380147259, min values: 1.2304e-06, max values: 39.035, median values: 0.21825, and quantile values: 0.25 0.063076\n0.50 0.218250\n0.75 0.981875\nName: 3712, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4512664876479247, std values: 5.230183458151946, min values: 6.0982e-07, max values: 46.232, median values: 0.2016, and quantile values: 0.25 0.05774\n0.50 0.20160\n0.75 0.80510\nName: 3713, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9910415718408807, std values: 5.446860378156918, min values: 2.7522e-06, max values: 43.954, median values: 0.36876, and quantile values: 0.25 0.10788\n0.50 0.36876\n0.75 1.43760\nName: 3714, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.553123121409434, std values: 4.825003629381866, min values: 1.9546e-06, max values: 38.99, median values: 0.24392, and quantile values: 0.25 0.069061\n0.50 0.243920\n0.75 0.982060\nName: 3715, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5273808807949685, std values: 5.064793088218722, min values: 2.5113e-06, max values: 41.484, median values: 0.26385, and quantile values: 0.25 0.076742\n0.50 0.263850\n0.75 0.927830\nName: 3716, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3907706898132075, std values: 5.004107568792362, min values: 3.3034e-06, max values: 40.979, median values: 0.19407, and quantile values: 0.25 0.059929\n0.50 0.194070\n0.75 0.682985\nName: 3717, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.345783107787107, std values: 4.614514671483731, min values: 2.7684e-07, max values: 36.828, median values: 0.196, and quantile values: 0.25 0.053766\n0.50 0.196000\n0.75 0.778960\nName: 3718, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3917602527393584, std values: 4.613073346164267, min values: 3.4708e-08, max values: 36.149, median values: 0.19138, and quantile values: 0.25 0.042785\n0.50 0.191380\n0.75 0.780815\nName: 3719, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4788246752050314, std values: 4.956335904946004, min values: 3.0342e-06, max values: 39.206, median values: 0.21676, and quantile values: 0.25 0.063551\n0.50 0.216760\n0.75 0.895040\nName: 3720, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3449981747257862, std values: 4.893528296673798, min values: 1.1587e-06, max values: 40.222, median values: 0.18935, and quantile values: 0.25 0.061369\n0.50 0.189350\n0.75 0.744540\nName: 3721, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4687112507484275, std values: 5.0970930931190175, min values: 3.6661e-06, max values: 40.939, median values: 0.21352, and quantile values: 0.25 0.062716\n0.50 0.213520\n0.75 0.768240\nName: 3722, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5492957951421384, std values: 5.044698996126342, min values: 4.1347e-06, max values: 40.319, median values: 0.25663, and quantile values: 0.25 0.069550\n0.50 0.256630\n0.75 0.885355\nName: 3723, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3211358699829687, std values: 4.518760810385957, min values: 1.2465e-08, max values: 35.761, median values: 0.13648, and quantile values: 0.25 0.025188\n0.50 0.136480\n0.75 0.698230\nName: 3724, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4419705813748427, std values: 4.875818774198061, min values: 1.4569e-06, max values: 39.048, median values: 0.22267, and quantile values: 0.25 0.063342\n0.50 0.222670\n0.75 0.873995\nName: 3725, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5712261092919622, std values: 4.99520418537521, min values: 3.3922e-08, max values: 41.832, median values: 0.19585, and quantile values: 0.25 0.049751\n0.50 0.195850\n0.75 1.001025\nName: 3726, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3361750391308174, std values: 4.931365646585087, min values: 1.6612e-06, max values: 40.054, median values: 0.18528, and quantile values: 0.25 0.051838\n0.50 0.185280\n0.75 0.765940\nName: 3727, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.732413758297484, std values: 5.353709457109857, min values: 1.1501e-06, max values: 46.284, median values: 0.29698, and quantile values: 0.25 0.074072\n0.50 0.296980\n0.75 1.170050\nName: 3728, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5474048593874843, std values: 4.9182822092429435, min values: 1.7751e-07, max values: 39.642, median values: 0.2295, and quantile values: 0.25 0.057693\n0.50 0.229500\n0.75 0.995200\nName: 3729, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6658454564691823, std values: 5.352082459288199, min values: 1.1446e-06, max values: 47.064, median values: 0.2583, and quantile values: 0.25 0.074697\n0.50 0.258300\n0.75 1.129300\nName: 3730, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6611277533044024, std values: 4.972259915147813, min values: 2.4613e-06, max values: 39.063, median values: 0.31978, and quantile values: 0.25 0.07537\n0.50 0.31978\n0.75 1.15645\nName: 3731, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.611457574237736, std values: 5.16048674341456, min values: 3.7134e-06, max values: 40.813, median values: 0.25056, and quantile values: 0.25 0.072186\n0.50 0.250560\n0.75 0.977650\nName: 3732, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5636499936640378, std values: 4.999720228413985, min values: 1.7182e-08, max values: 41.46, median values: 0.21975, and quantile values: 0.25 0.055501\n0.50 0.219750\n0.75 1.085025\nName: 3733, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5773216627106919, std values: 5.023542102841824, min values: 2.4492e-06, max values: 40.33, median values: 0.25314, and quantile values: 0.25 0.078302\n0.50 0.253140\n0.75 0.998840\nName: 3734, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3828646801226414, std values: 4.670984463190564, min values: 1.0986e-06, max values: 38.353, median values: 0.22543, and quantile values: 0.25 0.064927\n0.50 0.225430\n0.75 0.800250\nName: 3735, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7677969847584905, std values: 5.06284942833888, min values: 2.955e-06, max values: 39.05, median values: 0.32473, and quantile values: 0.25 0.089943\n0.50 0.324730\n0.75 1.357400\nName: 3736, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.467775352745912, std values: 5.067871538827572, min values: 1.0072e-06, max values: 43.004, median values: 0.21239, and quantile values: 0.25 0.061613\n0.50 0.212390\n0.75 0.865095\nName: 3737, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6006989392377358, std values: 4.922739943227665, min values: 3.7171e-06, max values: 40.752, median values: 0.27722, and quantile values: 0.25 0.078144\n0.50 0.277220\n0.75 0.929245\nName: 3738, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4473911150223773, std values: 4.734846909850406, min values: 8.7358e-08, max values: 37.24, median values: 0.22365, and quantile values: 0.25 0.064402\n0.50 0.223650\n0.75 0.876935\nName: 3739, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5617278115660378, std values: 5.059617555774915, min values: 2.2476e-06, max values: 40.478, median values: 0.2773, and quantile values: 0.25 0.074568\n0.50 0.277300\n0.75 0.976090\nName: 3740, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4636431967601762, std values: 4.835376110196124, min values: 3.1678e-08, max values: 39.624, median values: 0.21106, and quantile values: 0.25 0.047758\n0.50 0.211060\n0.75 0.867440\nName: 3741, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3525325617767925, std values: 5.0513283760996766, min values: 5.1191e-07, max values: 43.384, median values: 0.16004, and quantile values: 0.25 0.043024\n0.50 0.160040\n0.75 0.655490\nName: 3742, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8056330343886793, std values: 5.402965235775255, min values: 3.533e-06, max values: 44.088, median values: 0.28111, and quantile values: 0.25 0.07862\n0.50 0.28111\n0.75 1.23340\nName: 3743, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6420923132086165, std values: 5.440730160872504, min values: 5.2927e-07, max values: 48.617, median values: 0.26555, and quantile values: 0.25 0.061071\n0.50 0.265550\n0.75 0.959205\nName: 3744, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.213825929744151, std values: 4.481212359386084, min values: 3.5879e-07, max values: 36.926, median values: 0.15437, and quantile values: 0.25 0.049755\n0.50 0.154370\n0.75 0.645930\nName: 3745, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.471345627322956, std values: 4.790271766437927, min values: 2.2675e-07, max values: 38.689, median values: 0.26685, and quantile values: 0.25 0.059237\n0.50 0.266850\n0.75 0.924050\nName: 3746, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2759998284637106, std values: 4.749437223584971, min values: 1.0987e-07, max values: 38.92, median values: 0.14626, and quantile values: 0.25 0.043256\n0.50 0.146260\n0.75 0.651570\nName: 3747, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1754203254954088, std values: 4.6070483921217065, min values: 1.6175e-07, max values: 37.29, median values: 0.12118, and quantile values: 0.25 0.040058\n0.50 0.121180\n0.75 0.566755\nName: 3748, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4340081075480504, std values: 4.672960610060992, min values: 1.4682e-07, max values: 36.689, median values: 0.1963, and quantile values: 0.25 0.047163\n0.50 0.196300\n0.75 0.804565\nName: 3749, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5066738635238996, std values: 5.006606268348161, min values: 1.9845e-06, max values: 40.575, median values: 0.22655, and quantile values: 0.25 0.062339\n0.50 0.226550\n0.75 0.949900\nName: 3750, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5437618493555973, std values: 5.229250605689067, min values: 6.7794e-07, max values: 45.987, median values: 0.22498, and quantile values: 0.25 0.068898\n0.50 0.224980\n0.75 0.938660\nName: 3751, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.665041448854088, std values: 4.9320569685729705, min values: 1.6999e-06, max values: 38.26, median values: 0.25673, and quantile values: 0.25 0.081999\n0.50 0.256730\n0.75 1.075700\nName: 3752, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6518719399874215, std values: 5.0558603788621586, min values: 2.6885e-06, max values: 40.279, median values: 0.28292, and quantile values: 0.25 0.086679\n0.50 0.282920\n0.75 1.076200\nName: 3753, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2999550701967735, std values: 4.82534618273447, min values: 2.254e-08, max values: 41.323, median values: 0.17625, and quantile values: 0.25 0.039727\n0.50 0.176250\n0.75 0.662925\nName: 3754, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1858752534970438, std values: 4.574006295038037, min values: 0.0, max values: 36.785, median values: 0.13323, and quantile values: 0.25 0.038784\n0.50 0.133230\n0.75 0.590855\nName: 3755, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6091575970383647, std values: 4.985970641167288, min values: 1.3403e-06, max values: 39.462, median values: 0.25218, and quantile values: 0.25 0.064666\n0.50 0.252180\n0.75 1.094815\nName: 3756, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.595663082481761, std values: 4.920515892609805, min values: 1.0472e-06, max values: 38.968, median values: 0.2539, and quantile values: 0.25 0.071834\n0.50 0.253900\n0.75 1.058450\nName: 3757, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3721681804779875, std values: 4.997650278339475, min values: 1.0421e-06, max values: 42.65, median values: 0.18959, and quantile values: 0.25 0.051372\n0.50 0.189590\n0.75 0.742080\nName: 3758, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3650697174089939, std values: 4.780717576776363, min values: 2.0943e-07, max values: 38.663, median values: 0.17866, and quantile values: 0.25 0.053043\n0.50 0.178660\n0.75 0.762285\nName: 3759, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5494770328905663, std values: 4.9694983392097605, min values: 2.0212e-06, max values: 39.954, median values: 0.20046, and quantile values: 0.25 0.049535\n0.50 0.200460\n0.75 0.863270\nName: 3760, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5266084530301889, std values: 5.25086622626761, min values: 3.3934e-06, max values: 43.889, median values: 0.2206, and quantile values: 0.25 0.062149\n0.50 0.220600\n0.75 0.857145\nName: 3761, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.489966002819497, std values: 4.827983123215821, min values: 1.4899e-06, max values: 38.717, median values: 0.19968, and quantile values: 0.25 0.06563\n0.50 0.19968\n0.75 0.92674\nName: 3762, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5711756475095597, std values: 5.091327301453368, min values: 4.5472e-07, max values: 43.046, median values: 0.21577, and quantile values: 0.25 0.060695\n0.50 0.215770\n0.75 0.945460\nName: 3763, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4232913567660377, std values: 4.795514803588246, min values: 1.0789e-06, max values: 38.77, median values: 0.19235, and quantile values: 0.25 0.056469\n0.50 0.192350\n0.75 0.861370\nName: 3764, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3950828611428934, std values: 5.0038963100126574, min values: 7.0062e-07, max values: 42.896, median values: 0.16901, and quantile values: 0.25 0.054210\n0.50 0.169010\n0.75 0.737865\nName: 3765, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3215188190018867, std values: 4.98305477068107, min values: 1.9881e-06, max values: 40.53, median values: 0.17119, and quantile values: 0.25 0.049429\n0.50 0.171190\n0.75 0.644715\nName: 3766, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5422163368660378, std values: 5.054324276918959, min values: 3.239e-06, max values: 41.086, median values: 0.2449, and quantile values: 0.25 0.069262\n0.50 0.244900\n0.75 0.938345\nName: 3767, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3409111651289936, std values: 4.951604599242219, min values: 5.5551e-07, max values: 41.842, median values: 0.17011, and quantile values: 0.25 0.050948\n0.50 0.170110\n0.75 0.722145\nName: 3768, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.725999115791824, std values: 5.197586427858419, min values: 1.7936e-06, max values: 42.17, median values: 0.28941, and quantile values: 0.25 0.082068\n0.50 0.289410\n0.75 1.183850\nName: 3769, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3004522274106918, std values: 4.761849041015005, min values: 4.775e-07, max values: 39.011, median values: 0.17105, and quantile values: 0.25 0.046054\n0.50 0.171050\n0.75 0.691005\nName: 3770, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3657405022118867, std values: 4.762541577394413, min values: 4.4349e-07, max values: 38.449, median values: 0.20709, and quantile values: 0.25 0.057766\n0.50 0.207090\n0.75 0.754305\nName: 3771, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4047674864271695, std values: 4.778807684096964, min values: 6.4682e-07, max values: 38.324, median values: 0.20209, and quantile values: 0.25 0.062609\n0.50 0.202090\n0.75 0.901140\nName: 3772, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4280394112358492, std values: 4.84756377404799, min values: 2.2336e-06, max values: 38.54, median values: 0.22805, and quantile values: 0.25 0.064123\n0.50 0.228050\n0.75 0.848640\nName: 3773, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6112664551811322, std values: 4.94311613642029, min values: 5.7578e-06, max values: 39.958, median values: 0.2465, and quantile values: 0.25 0.087748\n0.50 0.246500\n0.75 0.963370\nName: 3774, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5458461222189939, std values: 4.840265956439591, min values: 4.3982e-07, max values: 38.054, median values: 0.24629, and quantile values: 0.25 0.063992\n0.50 0.246290\n0.75 0.983120\nName: 3775, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5120215262798742, std values: 5.392840422535562, min values: 1.7724e-06, max values: 47.714, median values: 0.20215, and quantile values: 0.25 0.055681\n0.50 0.202150\n0.75 0.857130\nName: 3776, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4581782620503145, std values: 4.797402198832408, min values: 1.5155e-06, max values: 38.048, median values: 0.21423, and quantile values: 0.25 0.054943\n0.50 0.214230\n0.75 0.865375\nName: 3777, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5142538115166666, std values: 5.132567967755899, min values: 7.5135e-07, max values: 43.771, median values: 0.20093, and quantile values: 0.25 0.063641\n0.50 0.200930\n0.75 0.938105\nName: 3778, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4642768779233333, std values: 4.928514784998529, min values: 2.1291e-07, max values: 41.147, median values: 0.23195, and quantile values: 0.25 0.057386\n0.50 0.231950\n0.75 0.867930\nName: 3779, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3101901832898744, std values: 4.572161659198349, min values: 5.0889e-07, max values: 38.384, median values: 0.18862, and quantile values: 0.25 0.054639\n0.50 0.188620\n0.75 0.744910\nName: 3780, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.612851459641509, std values: 4.745612368317833, min values: 2.1817e-06, max values: 39.645, median values: 0.27721, and quantile values: 0.25 0.084958\n0.50 0.277210\n0.75 1.115250\nName: 3781, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.600528920013673, std values: 5.166098280452603, min values: 3.2874e-08, max values: 44.643, median values: 0.21411, and quantile values: 0.25 0.05967\n0.50 0.21411\n0.75 1.03335\nName: 3782, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4950034453603773, std values: 5.115428990084776, min values: 3.3696e-06, max values: 41.637, median values: 0.20985, and quantile values: 0.25 0.066044\n0.50 0.209850\n0.75 0.869870\nName: 3783, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.479699843172327, std values: 4.991433326396049, min values: 2.4876e-06, max values: 39.745, median values: 0.25207, and quantile values: 0.25 0.065396\n0.50 0.252070\n0.75 0.865835\nName: 3784, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3534532811476543, std values: 5.125729631793338, min values: 1.3157e-08, max values: 46.0, median values: 0.1672, and quantile values: 0.25 0.035986\n0.50 0.167200\n0.75 0.755120\nName: 3785, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2378036197550315, std values: 4.710829061094044, min values: 1.883e-07, max values: 37.899, median values: 0.14066, and quantile values: 0.25 0.036792\n0.50 0.140660\n0.75 0.605965\nName: 3786, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4743294232088051, std values: 5.038141288113786, min values: 2.8647e-06, max values: 41.112, median values: 0.23509, and quantile values: 0.25 0.067218\n0.50 0.235090\n0.75 0.909690\nName: 3787, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3838408664641508, std values: 4.860054447334682, min values: 1.6967e-06, max values: 39.131, median values: 0.20088, and quantile values: 0.25 0.052076\n0.50 0.200880\n0.75 0.826610\nName: 3788, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5817763293591196, std values: 5.24705544349618, min values: 2.1664e-06, max values: 44.854, median values: 0.23626, and quantile values: 0.25 0.072938\n0.50 0.236260\n0.75 0.980110\nName: 3789, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2994498391588427, std values: 4.649056861418578, min values: 2.2196e-08, max values: 37.577, median values: 0.18429, and quantile values: 0.25 0.038596\n0.50 0.184290\n0.75 0.750275\nName: 3790, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4955513328335222, std values: 4.98112727190406, min values: 1.0451e-07, max values: 42.018, median values: 0.20437, and quantile values: 0.25 0.050448\n0.50 0.204370\n0.75 0.886695\nName: 3791, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.383074678044088, std values: 4.883128873790958, min values: 5.6091e-07, max values: 40.756, median values: 0.22213, and quantile values: 0.25 0.056779\n0.50 0.222130\n0.75 0.769185\nName: 3792, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.630470315416981, std values: 5.006521405004287, min values: 2.4485e-06, max values: 40.445, median values: 0.2863, and quantile values: 0.25 0.07342\n0.50 0.28630\n0.75 1.03258\nName: 3793, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2206079685515097, std values: 4.62476523057812, min values: 5.6929e-07, max values: 37.54, median values: 0.14637, and quantile values: 0.25 0.046561\n0.50 0.146370\n0.75 0.627760\nName: 3794, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.407235118883019, std values: 5.2822260826194265, min values: 1.3848e-06, max values: 46.397, median values: 0.1882, and quantile values: 0.25 0.060060\n0.50 0.188200\n0.75 0.740335\nName: 3795, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4696078535991823, std values: 5.1307574902810575, min values: 8.7497e-07, max values: 44.654, median values: 0.20946, and quantile values: 0.25 0.054302\n0.50 0.209460\n0.75 0.828335\nName: 3796, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5642116949988052, std values: 4.9344666092145175, min values: 4.0351e-07, max values: 40.123, median values: 0.24219, and quantile values: 0.25 0.063019\n0.50 0.242190\n0.75 1.036000\nName: 3797, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5465017557251572, std values: 4.961700963430932, min values: 1.0025e-06, max values: 40.123, median values: 0.27616, and quantile values: 0.25 0.071421\n0.50 0.276160\n0.75 1.011760\nName: 3798, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8037844427761007, std values: 5.19263567849508, min values: 3.2144e-06, max values: 40.567, median values: 0.31799, and quantile values: 0.25 0.090619\n0.50 0.317990\n0.75 1.282850\nName: 3799, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6249656648075474, std values: 5.243744972361369, min values: 3.8773e-06, max values: 42.368, median values: 0.25395, and quantile values: 0.25 0.071323\n0.50 0.253950\n0.75 0.917955\nName: 3800, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5783666419402516, std values: 5.063681790243607, min values: 6.4627e-06, max values: 41.311, median values: 0.25167, and quantile values: 0.25 0.073491\n0.50 0.251670\n0.75 0.925000\nName: 3801, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4305219730044025, std values: 4.786077901610925, min values: 1.2313e-06, max values: 38.044, median values: 0.20304, and quantile values: 0.25 0.061222\n0.50 0.203040\n0.75 0.825925\nName: 3802, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5468508169666668, std values: 5.145581467223216, min values: 2.8151e-06, max values: 42.696, median values: 0.20878, and quantile values: 0.25 0.070383\n0.50 0.208780\n0.75 0.908025\nName: 3803, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8172227507748429, std values: 5.287836387574291, min values: 4.0122e-06, max values: 42.247, median values: 0.31025, and quantile values: 0.25 0.083183\n0.50 0.310250\n0.75 1.233000\nName: 3804, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.548104942734654, std values: 4.942721477185552, min values: 5.0151e-07, max values: 39.758, median values: 0.24732, and quantile values: 0.25 0.062854\n0.50 0.247320\n0.75 1.027750\nName: 3805, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5008880152158492, std values: 4.70172800750996, min values: 2.1312e-07, max values: 37.427, median values: 0.21731, and quantile values: 0.25 0.060177\n0.50 0.217310\n0.75 1.026450\nName: 3806, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4948704617641508, std values: 4.909538646525572, min values: 4.5421e-06, max values: 40.449, median values: 0.22338, and quantile values: 0.25 0.066376\n0.50 0.223380\n0.75 0.860300\nName: 3807, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3726830362906917, std values: 4.88293740033695, min values: 5.1472e-07, max values: 40.801, median values: 0.19957, and quantile values: 0.25 0.058498\n0.50 0.199570\n0.75 0.725455\nName: 3808, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5967112229920757, std values: 5.20626156882763, min values: 7.3524e-07, max values: 44.056, median values: 0.23644, and quantile values: 0.25 0.065155\n0.50 0.236440\n0.75 1.013050\nName: 3809, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5950846045221385, std values: 4.746499209672569, min values: 5.4532e-07, max values: 37.677, median values: 0.30246, and quantile values: 0.25 0.062756\n0.50 0.302460\n0.75 1.085600\nName: 3810, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4501922516840882, std values: 4.947332408177648, min values: 4.5757e-07, max values: 41.412, median values: 0.18504, and quantile values: 0.25 0.055276\n0.50 0.185040\n0.75 0.911810\nName: 3811, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4700600567585536, std values: 4.940674850872565, min values: 0.0, max values: 40.945, median values: 0.20745, and quantile values: 0.25 0.056010\n0.50 0.207450\n0.75 0.900005\nName: 3812, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4843398889943396, std values: 5.012859979308184, min values: 1.4161e-06, max values: 41.124, median values: 0.21798, and quantile values: 0.25 0.060485\n0.50 0.217980\n0.75 0.883360\nName: 3813, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4197916220202516, std values: 4.806902728762728, min values: 6.7332e-07, max values: 38.411, median values: 0.22489, and quantile values: 0.25 0.060175\n0.50 0.224890\n0.75 0.881015\nName: 3814, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4407866385132704, std values: 4.700226259187065, min values: 9.3201e-07, max values: 37.548, median values: 0.21019, and quantile values: 0.25 0.061997\n0.50 0.210190\n0.75 0.889250\nName: 3815, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.403601568244654, std values: 4.835829307514774, min values: 2.1708e-06, max values: 39.391, median values: 0.20533, and quantile values: 0.25 0.057444\n0.50 0.205330\n0.75 0.828545\nName: 3816, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6937821684396228, std values: 5.410031891219525, min values: 2.6511e-06, max values: 46.173, median values: 0.26882, and quantile values: 0.25 0.073821\n0.50 0.268820\n0.75 1.049000\nName: 3817, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.351383891107736, std values: 4.716015015056785, min values: 0.0, max values: 37.43, median values: 0.17369, and quantile values: 0.25 0.049767\n0.50 0.173690\n0.75 0.729755\nName: 3818, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3868702951799998, std values: 4.707746292386218, min values: 6.6952e-07, max values: 37.658, median values: 0.18749, and quantile values: 0.25 0.063995\n0.50 0.187490\n0.75 0.845875\nName: 3819, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4395475751108806, std values: 4.7335304471706525, min values: 3.4413e-07, max values: 38.828, median values: 0.20079, and quantile values: 0.25 0.054227\n0.50 0.200790\n0.75 0.892365\nName: 3820, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3816770273660377, std values: 4.980377855777169, min values: 1.5559e-06, max values: 40.541, median values: 0.20006, and quantile values: 0.25 0.056441\n0.50 0.200060\n0.75 0.740920\nName: 3821, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.190057801856069, std values: 4.662385676425661, min values: 2.0885e-08, max values: 37.84, median values: 0.14928, and quantile values: 0.25 0.042384\n0.50 0.149280\n0.75 0.570545\nName: 3822, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3287105305603775, std values: 4.905935061371097, min values: 1.9083e-06, max values: 41.246, median values: 0.16469, and quantile values: 0.25 0.060021\n0.50 0.164690\n0.75 0.621340\nName: 3823, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5865110656232706, std values: 4.673413410434532, min values: 3.6079e-06, max values: 39.347, median values: 0.25972, and quantile values: 0.25 0.071735\n0.50 0.259720\n0.75 1.126700\nName: 3824, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2304538558136855, std values: 4.553385304802297, min values: 2.0576e-08, max values: 37.594, median values: 0.14693, and quantile values: 0.25 0.046415\n0.50 0.146930\n0.75 0.653935\nName: 3825, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7030849261742138, std values: 5.385407937372837, min values: 5.2488e-06, max values: 44.423, median values: 0.29041, and quantile values: 0.25 0.082234\n0.50 0.290410\n0.75 0.995375\nName: 3826, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.558531247072327, std values: 5.018982804340024, min values: 5.305e-07, max values: 41.418, median values: 0.26394, and quantile values: 0.25 0.070952\n0.50 0.263940\n0.75 1.021625\nName: 3827, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6002663936773585, std values: 5.092237970892652, min values: 3.0945e-06, max values: 40.48, median values: 0.25702, and quantile values: 0.25 0.073208\n0.50 0.257020\n0.75 0.958460\nName: 3828, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.585807957027044, std values: 4.901067910120113, min values: 1.9008e-06, max values: 38.756, median values: 0.281, and quantile values: 0.25 0.068052\n0.50 0.281000\n0.75 1.035200\nName: 3829, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6154762109238994, std values: 5.2542551571506495, min values: 4.2018e-06, max values: 43.663, median values: 0.24965, and quantile values: 0.25 0.072296\n0.50 0.249650\n0.75 0.943075\nName: 3830, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.459858189628302, std values: 4.7434492990028705, min values: 1.8917e-06, max values: 39.805, median values: 0.219, and quantile values: 0.25 0.062804\n0.50 0.219000\n0.75 0.911590\nName: 3831, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4557739230905662, std values: 4.970098015748176, min values: 2.1573e-06, max values: 40.196, median values: 0.22961, and quantile values: 0.25 0.064183\n0.50 0.229610\n0.75 0.830170\nName: 3832, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5252986001050315, std values: 4.857469619955043, min values: 1.2733e-06, max values: 38.307, median values: 0.23702, and quantile values: 0.25 0.067765\n0.50 0.237020\n0.75 0.970650\nName: 3833, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4181364165196857, std values: 5.021604782389999, min values: 1.6643e-07, max values: 43.093, median values: 0.17929, and quantile values: 0.25 0.051974\n0.50 0.179290\n0.75 0.784045\nName: 3834, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3656042436735847, std values: 4.8732797018363065, min values: 2.8208e-06, max values: 40.702, median values: 0.19371, and quantile values: 0.25 0.058510\n0.50 0.193710\n0.75 0.721495\nName: 3835, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2483175226681509, std values: 4.674064357872142, min values: 1.9766e-08, max values: 37.671, median values: 0.13927, and quantile values: 0.25 0.041345\n0.50 0.139270\n0.75 0.658265\nName: 3836, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3928923302075473, std values: 4.700580552482129, min values: 1.198e-06, max values: 38.514, median values: 0.18123, and quantile values: 0.25 0.061422\n0.50 0.181230\n0.75 0.832415\nName: 3837, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4090889854025848, std values: 4.889230867134435, min values: 2.3311e-08, max values: 40.571, median values: 0.1965, and quantile values: 0.25 0.051311\n0.50 0.196500\n0.75 0.788685\nName: 3838, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.438396011341887, std values: 4.837456889504126, min values: 6.1106e-07, max values: 39.65, median values: 0.20207, and quantile values: 0.25 0.054904\n0.50 0.202070\n0.75 0.819030\nName: 3839, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4406472191572954, std values: 4.793339988658461, min values: 1.9981e-07, max values: 38.677, median values: 0.20952, and quantile values: 0.25 0.061110\n0.50 0.209520\n0.75 0.851655\nName: 3840, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3251751727238996, std values: 4.943092395861296, min values: 1.0674e-06, max values: 41.22, median values: 0.15877, and quantile values: 0.25 0.053635\n0.50 0.158770\n0.75 0.706785\nName: 3841, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4911402171294341, std values: 4.905311265729978, min values: 5.8248e-07, max values: 39.077, median values: 0.23445, and quantile values: 0.25 0.060905\n0.50 0.234450\n0.75 0.851020\nName: 3842, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5527332457836478, std values: 5.203438967266308, min values: 2.0741e-06, max values: 44.128, median values: 0.23212, and quantile values: 0.25 0.065171\n0.50 0.232120\n0.75 0.944585\nName: 3843, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4410837867735848, std values: 4.9890267937986295, min values: 1.1127e-06, max values: 41.421, median values: 0.21728, and quantile values: 0.25 0.058734\n0.50 0.217280\n0.75 0.790375\nName: 3844, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1741039015849057, std values: 4.4730399573996475, min values: 1.4642e-06, max values: 39.039, median values: 0.15238, and quantile values: 0.25 0.051262\n0.50 0.152380\n0.75 0.604090\nName: 3845, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2484244451886792, std values: 4.639806126126051, min values: 1.4243e-06, max values: 38.901, median values: 0.14733, and quantile values: 0.25 0.049146\n0.50 0.147330\n0.75 0.679170\nName: 3846, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3790126685359876, std values: 4.813175761477135, min values: 4.9622e-08, max values: 38.991, median values: 0.20203, and quantile values: 0.25 0.053461\n0.50 0.202030\n0.75 0.784360\nName: 3847, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6846733617566036, std values: 5.1566511569335844, min values: 2.582e-06, max values: 41.815, median values: 0.26972, and quantile values: 0.25 0.079418\n0.50 0.269720\n0.75 1.124150\nName: 3848, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2679022163989937, std values: 4.612814416662418, min values: 4.7714e-07, max values: 37.48, median values: 0.16085, and quantile values: 0.25 0.046923\n0.50 0.160850\n0.75 0.645545\nName: 3849, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3164863736886794, std values: 4.874294507329809, min values: 1.6699e-06, max values: 39.39, median values: 0.18091, and quantile values: 0.25 0.054956\n0.50 0.180910\n0.75 0.736155\nName: 3850, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3721220455322014, std values: 4.706847934991669, min values: 2.2002e-07, max values: 38.139, median values: 0.19073, and quantile values: 0.25 0.047457\n0.50 0.190730\n0.75 0.794885\nName: 3851, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5262206018691824, std values: 4.85881306955647, min values: 3.6022e-06, max values: 40.368, median values: 0.22456, and quantile values: 0.25 0.074743\n0.50 0.224560\n0.75 0.946400\nName: 3852, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4944928005974842, std values: 4.864817984586781, min values: 2.9734e-06, max values: 39.243, median values: 0.22536, and quantile values: 0.25 0.064024\n0.50 0.225360\n0.75 0.855195\nName: 3853, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6447673968566037, std values: 5.067864664940494, min values: 5.8003e-06, max values: 40.523, median values: 0.27133, and quantile values: 0.25 0.078663\n0.50 0.271330\n0.75 1.019350\nName: 3854, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5182715474421697, std values: 5.145940640196763, min values: 1.6965e-08, max values: 45.222, median values: 0.18982, and quantile values: 0.25 0.045729\n0.50 0.189820\n0.75 0.914545\nName: 3855, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3852129259343395, std values: 4.640740554393646, min values: 5.3196e-07, max values: 36.952, median values: 0.19004, and quantile values: 0.25 0.051163\n0.50 0.190040\n0.75 0.817615\nName: 3856, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4389881288077357, std values: 4.973266221724677, min values: 4.0083e-07, max values: 42.213, median values: 0.19834, and quantile values: 0.25 0.051953\n0.50 0.198340\n0.75 0.807115\nName: 3857, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4866259056635218, std values: 4.8512308715240176, min values: 2.4736e-06, max values: 39.256, median values: 0.23589, and quantile values: 0.25 0.062586\n0.50 0.235890\n0.75 0.917980\nName: 3858, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4938744027987423, std values: 5.034812800078759, min values: 1.2248e-06, max values: 41.548, median values: 0.2008, and quantile values: 0.25 0.059533\n0.50 0.200800\n0.75 0.928445\nName: 3859, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5643721648886795, std values: 4.886043832890447, min values: 1.3417e-06, max values: 38.702, median values: 0.23975, and quantile values: 0.25 0.067735\n0.50 0.239750\n0.75 1.059250\nName: 3860, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4568745710637547, std values: 4.730395195488722, min values: 5.6467e-08, max values: 37.479, median values: 0.21544, and quantile values: 0.25 0.052607\n0.50 0.215440\n0.75 0.852615\nName: 3861, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3482207597885534, std values: 4.866753032896121, min values: 2.2288e-07, max values: 40.968, median values: 0.15878, and quantile values: 0.25 0.048157\n0.50 0.158780\n0.75 0.714660\nName: 3862, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4067279718048429, std values: 4.713239335568817, min values: 4.5417e-07, max values: 37.254, median values: 0.16132, and quantile values: 0.25 0.052651\n0.50 0.161320\n0.75 0.784950\nName: 3863, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.612945587664151, std values: 4.945736044080919, min values: 6.2016e-06, max values: 40.552, median values: 0.25376, and quantile values: 0.25 0.082482\n0.50 0.253760\n0.75 1.037350\nName: 3864, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5984290775985532, std values: 5.010608800235607, min values: 2.3957e-07, max values: 41.171, median values: 0.22757, and quantile values: 0.25 0.05459\n0.50 0.22757\n0.75 1.06810\nName: 3865, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3672091423452832, std values: 4.86139454771001, min values: 1.0727e-06, max values: 39.784, median values: 0.19356, and quantile values: 0.25 0.053486\n0.50 0.193560\n0.75 0.784525\nName: 3866, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5374774899666666, std values: 5.143341528353591, min values: 1.5758e-06, max values: 42.94, median values: 0.23913, and quantile values: 0.25 0.066706\n0.50 0.239130\n0.75 0.944770\nName: 3867, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2871663096754717, std values: 4.765382517566343, min values: 2.4726e-06, max values: 39.674, median values: 0.16259, and quantile values: 0.25 0.048543\n0.50 0.162590\n0.75 0.634015\nName: 3868, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3531552371116353, std values: 4.678546644560543, min values: 0.0, max values: 37.969, median values: 0.17659, and quantile values: 0.25 0.050197\n0.50 0.176590\n0.75 0.759935\nName: 3869, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7265516971911952, std values: 5.113782215281854, min values: 2.9957e-06, max values: 39.689, median values: 0.28298, and quantile values: 0.25 0.083915\n0.50 0.282980\n0.75 1.164350\nName: 3870, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.421318614941824, std values: 4.681465358580838, min values: 2.9545e-07, max values: 37.538, median values: 0.19184, and quantile values: 0.25 0.054906\n0.50 0.191840\n0.75 0.892085\nName: 3871, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7841444928037735, std values: 5.272625539826814, min values: 4.3992e-06, max values: 41.524, median values: 0.30871, and quantile values: 0.25 0.091237\n0.50 0.308710\n0.75 1.186750\nName: 3872, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.572397962555975, std values: 5.149305150453205, min values: 6.7863e-06, max values: 41.582, median values: 0.26445, and quantile values: 0.25 0.076858\n0.50 0.264450\n0.75 0.917155\nName: 3873, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4370306439590566, std values: 4.636752738197258, min values: 3.119e-08, max values: 36.885, median values: 0.22911, and quantile values: 0.25 0.049853\n0.50 0.229110\n0.75 0.984315\nName: 3874, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4498604813691824, std values: 5.183075767352676, min values: 4.0737e-06, max values: 42.523, median values: 0.21199, and quantile values: 0.25 0.060808\n0.50 0.211990\n0.75 0.772555\nName: 3875, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5534481728729557, std values: 5.01656864290929, min values: 4.673e-07, max values: 41.981, median values: 0.24082, and quantile values: 0.25 0.053710\n0.50 0.240820\n0.75 1.019675\nName: 3876, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3777890027087105, std values: 4.7922924137016905, min values: 1.3985e-08, max values: 39.785, median values: 0.17143, and quantile values: 0.25 0.044008\n0.50 0.171430\n0.75 0.836660\nName: 3877, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4533352368580503, std values: 4.9486180897405925, min values: 7.3013e-07, max values: 41.168, median values: 0.21514, and quantile values: 0.25 0.058804\n0.50 0.215140\n0.75 0.824330\nName: 3878, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3533538391372955, std values: 4.682232533394464, min values: 2.5693e-07, max values: 37.659, median values: 0.19168, and quantile values: 0.25 0.052626\n0.50 0.191680\n0.75 0.791125\nName: 3879, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4590333029740883, std values: 4.717744956853863, min values: 9.1138e-07, max values: 38.245, median values: 0.22159, and quantile values: 0.25 0.062177\n0.50 0.221590\n0.75 0.899495\nName: 3880, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.396906499625912, std values: 4.934445523711072, min values: 1.9687e-07, max values: 41.641, median values: 0.18256, and quantile values: 0.25 0.048607\n0.50 0.182560\n0.75 0.729730\nName: 3881, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4239622207357232, std values: 5.048549002874201, min values: 8.6788e-07, max values: 42.236, median values: 0.2149, and quantile values: 0.25 0.061868\n0.50 0.214900\n0.75 0.793920\nName: 3882, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8403964079396227, std values: 5.304295348686451, min values: 1.5919e-06, max values: 43.304, median values: 0.29889, and quantile values: 0.25 0.082499\n0.50 0.298890\n0.75 1.293100\nName: 3883, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.345601498716981, std values: 4.711945407846108, min values: 2.5901e-06, max values: 39.813, median values: 0.18939, and quantile values: 0.25 0.056719\n0.50 0.189390\n0.75 0.799700\nName: 3884, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3302137090136477, std values: 4.8536920401110475, min values: 1.9507e-07, max values: 39.614, median values: 0.16122, and quantile values: 0.25 0.051358\n0.50 0.161220\n0.75 0.743680\nName: 3885, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.604047408937107, std values: 5.021778861856084, min values: 3.4891e-06, max values: 39.861, median values: 0.2581, and quantile values: 0.25 0.079295\n0.50 0.258100\n0.75 1.001920\nName: 3886, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4168303899036543, std values: 4.918788275078998, min values: 3.1881e-08, max values: 42.02, median values: 0.19922, and quantile values: 0.25 0.052569\n0.50 0.199220\n0.75 0.812875\nName: 3887, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4026937099433963, std values: 4.774716563917764, min values: 1.0012e-06, max values: 38.723, median values: 0.1973, and quantile values: 0.25 0.054889\n0.50 0.197300\n0.75 0.829050\nName: 3888, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.414323785572956, std values: 4.939704386514175, min values: 2.1588e-06, max values: 40.82, median values: 0.24, and quantile values: 0.25 0.058311\n0.50 0.240000\n0.75 0.815490\nName: 3889, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5431044873415094, std values: 5.221354371503462, min values: 2.1273e-06, max values: 44.508, median values: 0.22938, and quantile values: 0.25 0.059442\n0.50 0.229380\n0.75 0.887435\nName: 3890, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5005865138798742, std values: 5.042870993987941, min values: 2.5098e-06, max values: 40.902, median values: 0.19409, and quantile values: 0.25 0.064707\n0.50 0.194090\n0.75 0.862035\nName: 3891, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.380101919658742, std values: 4.778187518543141, min values: 8.1394e-07, max values: 38.584, median values: 0.1855, and quantile values: 0.25 0.058643\n0.50 0.185500\n0.75 0.767545\nName: 3892, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6458031972169809, std values: 5.171891204595963, min values: 1.317e-06, max values: 41.754, median values: 0.23574, and quantile values: 0.25 0.069452\n0.50 0.235740\n0.75 0.927025\nName: 3893, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3143911598998743, std values: 4.992896907625901, min values: 9.2588e-07, max values: 41.541, median values: 0.1579, and quantile values: 0.25 0.045507\n0.50 0.157900\n0.75 0.691770\nName: 3894, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3984452142526416, std values: 4.695121921471544, min values: 3.8697e-07, max values: 37.329, median values: 0.19087, and quantile values: 0.25 0.054337\n0.50 0.190870\n0.75 0.860160\nName: 3895, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3607495884120124, std values: 4.934348505715559, min values: 1.1581e-07, max values: 41.08, median values: 0.16426, and quantile values: 0.25 0.046027\n0.50 0.164260\n0.75 0.743235\nName: 3896, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8012003357553459, std values: 5.210382178397258, min values: 2.9606e-06, max values: 41.083, median values: 0.30955, and quantile values: 0.25 0.087324\n0.50 0.309550\n0.75 1.284900\nName: 3897, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4805561439767296, std values: 4.933157816941231, min values: 1.0427e-06, max values: 41.066, median values: 0.19057, and quantile values: 0.25 0.055546\n0.50 0.190570\n0.75 0.835835\nName: 3898, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6769394895358487, std values: 5.040970029146803, min values: 1.8346e-06, max values: 39.339, median values: 0.28345, and quantile values: 0.25 0.078434\n0.50 0.283450\n0.75 1.159650\nName: 3899, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4348277326847232, std values: 4.7686378291906015, min values: 1.2271e-08, max values: 38.015, median values: 0.18452, and quantile values: 0.25 0.050823\n0.50 0.184520\n0.75 0.832115\nName: 3900, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6492118144148427, std values: 4.919737337065137, min values: 9.5936e-07, max values: 38.166, median values: 0.27266, and quantile values: 0.25 0.067103\n0.50 0.272660\n0.75 1.145350\nName: 3901, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7234141721748426, std values: 5.196526913483381, min values: 5.6738e-06, max values: 41.542, median values: 0.29234, and quantile values: 0.25 0.082486\n0.50 0.292340\n0.75 1.080600\nName: 3902, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4092478904960377, std values: 4.960764116105227, min values: 7.5107e-07, max values: 41.662, median values: 0.20497, and quantile values: 0.25 0.057388\n0.50 0.204970\n0.75 0.784325\nName: 3903, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2902755266162893, std values: 4.73454459211109, min values: 8.1989e-07, max values: 37.996, median values: 0.19196, and quantile values: 0.25 0.055723\n0.50 0.191960\n0.75 0.690640\nName: 3904, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1897628073547168, std values: 4.46590375237231, min values: 1.5113e-06, max values: 38.54, median values: 0.15979, and quantile values: 0.25 0.047580\n0.50 0.159790\n0.75 0.621075\nName: 3905, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6646506184150942, std values: 5.216923338868032, min values: 2.7345e-06, max values: 43.627, median values: 0.28969, and quantile values: 0.25 0.085221\n0.50 0.289690\n0.75 1.104000\nName: 3906, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2637565317354087, std values: 4.585386779220558, min values: 8.7593e-07, max values: 36.652, median values: 0.1434, and quantile values: 0.25 0.047942\n0.50 0.143400\n0.75 0.555845\nName: 3907, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3135033704247236, std values: 4.728071390689432, min values: 6.1831e-08, max values: 37.93, median values: 0.17719, and quantile values: 0.25 0.046556\n0.50 0.177190\n0.75 0.717610\nName: 3908, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.335884624294717, std values: 4.5650784201175725, min values: 7.6616e-07, max values: 38.198, median values: 0.18341, and quantile values: 0.25 0.055487\n0.50 0.183410\n0.75 0.808725\nName: 3909, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3656196519236476, std values: 4.687609020499988, min values: 7.5696e-07, max values: 37.924, median values: 0.22996, and quantile values: 0.25 0.066189\n0.50 0.229960\n0.75 0.771140\nName: 3910, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8419957659276733, std values: 5.841722022771796, min values: 1.6777e-06, max values: 54.074, median values: 0.28076, and quantile values: 0.25 0.086377\n0.50 0.280760\n0.75 1.237650\nName: 3911, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.695609667082956, std values: 5.0030252417071495, min values: 3.6689e-07, max values: 39.392, median values: 0.26326, and quantile values: 0.25 0.071468\n0.50 0.263260\n0.75 1.179300\nName: 3912, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3243978905666667, std values: 4.964236072814446, min values: 1.0033e-06, max values: 41.891, median values: 0.15667, and quantile values: 0.25 0.048605\n0.50 0.156670\n0.75 0.704295\nName: 3913, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7105773104811324, std values: 5.075381589909945, min values: 6.7975e-06, max values: 40.413, median values: 0.2722, and quantile values: 0.25 0.078743\n0.50 0.272200\n0.75 0.921160\nName: 3914, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5601598980899372, std values: 4.671387559231955, min values: 1.3691e-06, max values: 38.005, median values: 0.26722, and quantile values: 0.25 0.076546\n0.50 0.267220\n0.75 1.055650\nName: 3915, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.205308508161132, std values: 4.506969626479996, min values: 2.5362e-07, max values: 37.348, median values: 0.13503, and quantile values: 0.25 0.039122\n0.50 0.135030\n0.75 0.644360\nName: 3916, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4407160104399368, std values: 4.870556952397159, min values: 8.2375e-07, max values: 39.22, median values: 0.22504, and quantile values: 0.25 0.064288\n0.50 0.225040\n0.75 0.898700\nName: 3917, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7158966129553461, std values: 4.973519838398929, min values: 3.892e-06, max values: 40.165, median values: 0.31876, and quantile values: 0.25 0.085905\n0.50 0.318760\n0.75 1.106900\nName: 3918, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.584548253891195, std values: 5.315937908278345, min values: 2.6885e-06, max values: 45.817, median values: 0.22806, and quantile values: 0.25 0.064098\n0.50 0.228060\n0.75 0.963670\nName: 3919, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4687890053511319, std values: 5.013079009122415, min values: 3.5483e-07, max values: 41.998, median values: 0.18944, and quantile values: 0.25 0.050904\n0.50 0.189440\n0.75 0.871205\nName: 3920, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5607093626779873, std values: 4.842707635451035, min values: 1.0985e-06, max values: 38.706, median values: 0.29516, and quantile values: 0.25 0.064465\n0.50 0.295160\n0.75 1.002155\nName: 3921, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2857859453332077, std values: 4.7901335935585845, min values: 2.4284e-07, max values: 39.556, median values: 0.15617, and quantile values: 0.25 0.045956\n0.50 0.156170\n0.75 0.671220\nName: 3922, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3092931824773586, std values: 4.700194644861093, min values: 1.6897e-06, max values: 39.707, median values: 0.19034, and quantile values: 0.25 0.050752\n0.50 0.190340\n0.75 0.737185\nName: 3923, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5415284860205032, std values: 5.209885930170383, min values: 8.7836e-07, max values: 44.686, median values: 0.21314, and quantile values: 0.25 0.063004\n0.50 0.213140\n0.75 0.938805\nName: 3924, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3172056646238994, std values: 4.594202078915424, min values: 2.2986e-06, max values: 38.683, median values: 0.19187, and quantile values: 0.25 0.060396\n0.50 0.191870\n0.75 0.738280\nName: 3925, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5892716311352202, std values: 5.000279654334457, min values: 1.3372e-06, max values: 40.078, median values: 0.26083, and quantile values: 0.25 0.073418\n0.50 0.260830\n0.75 1.047450\nName: 3926, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7085568612327042, std values: 5.285480776621249, min values: 2.8349e-06, max values: 43.563, median values: 0.27372, and quantile values: 0.25 0.07781\n0.50 0.27372\n0.75 1.10990\nName: 3927, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5165995092572324, std values: 4.911813927457522, min values: 2.2012e-06, max values: 38.881, median values: 0.26031, and quantile values: 0.25 0.072677\n0.50 0.260310\n0.75 0.934535\nName: 3928, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.505342273890566, std values: 4.820814327190917, min values: 1.0824e-06, max values: 37.892, median values: 0.24029, and quantile values: 0.25 0.072967\n0.50 0.240290\n0.75 0.902650\nName: 3929, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5421358317838365, std values: 4.994194113951765, min values: 7.1243e-07, max values: 41.236, median values: 0.22587, and quantile values: 0.25 0.065466\n0.50 0.225870\n0.75 0.965405\nName: 3930, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.353703382799371, std values: 4.830698449842474, min values: 2.9499e-06, max values: 41.017, median values: 0.19814, and quantile values: 0.25 0.05859\n0.50 0.19814\n0.75 0.68753\nName: 3931, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4854293923946036, std values: 4.7094997809610515, min values: 2.7032e-08, max values: 37.272, median values: 0.23829, and quantile values: 0.25 0.050097\n0.50 0.238290\n0.75 0.869490\nName: 3932, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.694557591445283, std values: 5.053531125466243, min values: 3.6125e-06, max values: 40.222, median values: 0.28935, and quantile values: 0.25 0.078837\n0.50 0.289350\n0.75 1.114900\nName: 3933, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.588303330964151, std values: 5.2086280393925275, min values: 1.258e-06, max values: 44.998, median values: 0.26109, and quantile values: 0.25 0.070752\n0.50 0.261090\n0.75 0.951005\nName: 3934, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4020083438207547, std values: 5.024583768280052, min values: 4.3427e-06, max values: 40.827, median values: 0.19261, and quantile values: 0.25 0.054749\n0.50 0.192610\n0.75 0.645480\nName: 3935, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5697576047689936, std values: 4.922602762177541, min values: 2.9947e-07, max values: 39.401, median values: 0.23089, and quantile values: 0.25 0.057318\n0.50 0.230890\n0.75 0.984510\nName: 3936, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4843595234377358, std values: 4.839198428422125, min values: 1.7885e-06, max values: 39.456, median values: 0.22667, and quantile values: 0.25 0.065375\n0.50 0.226670\n0.75 0.952055\nName: 3937, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5364316605603772, std values: 5.026512275652488, min values: 4.795e-06, max values: 40.542, median values: 0.23128, and quantile values: 0.25 0.071808\n0.50 0.231280\n0.75 0.946675\nName: 3938, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8412287692981133, std values: 5.286451318184848, min values: 3.7127e-06, max values: 41.964, median values: 0.3153, and quantile values: 0.25 0.084573\n0.50 0.315300\n0.75 1.321100\nName: 3939, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.734217477052201, std values: 5.239389566701495, min values: 2.9824e-06, max values: 41.987, median values: 0.29921, and quantile values: 0.25 0.082182\n0.50 0.299210\n0.75 1.087850\nName: 3940, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5780009255106915, std values: 4.920939812210261, min values: 3.7953e-06, max values: 39.999, median values: 0.24601, and quantile values: 0.25 0.073173\n0.50 0.246010\n0.75 0.958205\nName: 3941, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.525087180028302, std values: 4.913176727432512, min values: 2.6514e-06, max values: 39.313, median values: 0.24671, and quantile values: 0.25 0.07118\n0.50 0.24671\n0.75 0.98958\nName: 3942, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4887846915408804, std values: 5.042126523880089, min values: 2.6315e-06, max values: 40.765, median values: 0.20818, and quantile values: 0.25 0.069711\n0.50 0.208180\n0.75 0.890770\nName: 3943, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6073621794075472, std values: 5.155327759203054, min values: 3.9366e-06, max values: 41.28, median values: 0.26437, and quantile values: 0.25 0.077522\n0.50 0.264370\n0.75 0.932200\nName: 3944, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5553495823602514, std values: 5.013426322190068, min values: 3.1421e-07, max values: 42.778, median values: 0.20947, and quantile values: 0.25 0.045117\n0.50 0.209470\n0.75 0.955260\nName: 3945, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.420516059247044, std values: 4.840411073488998, min values: 7.5898e-07, max values: 39.51, median values: 0.21001, and quantile values: 0.25 0.056427\n0.50 0.210010\n0.75 0.805675\nName: 3946, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.349991593251069, std values: 4.861550309496108, min values: 6.5212e-07, max values: 40.466, median values: 0.16283, and quantile values: 0.25 0.053204\n0.50 0.162830\n0.75 0.692445\nName: 3947, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7150847509320755, std values: 5.416303770877538, min values: 5.4126e-06, max values: 44.906, median values: 0.28827, and quantile values: 0.25 0.070111\n0.50 0.288270\n0.75 0.986835\nName: 3948, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6421120613296853, std values: 5.27645023327284, min values: 9.8222e-07, max values: 46.466, median values: 0.25641, and quantile values: 0.25 0.065644\n0.50 0.256410\n0.75 1.044460\nName: 3949, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.530480623816981, std values: 5.173827764134317, min values: 3.5674e-06, max values: 42.24, median values: 0.21946, and quantile values: 0.25 0.070389\n0.50 0.219460\n0.75 0.905085\nName: 3950, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3373946038589937, std values: 4.872895132241081, min values: 1.1978e-07, max values: 40.338, median values: 0.1466, and quantile values: 0.25 0.038534\n0.50 0.146600\n0.75 0.758665\nName: 3951, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2528435592873082, std values: 4.525020765695476, min values: 2.4082e-08, max values: 35.862, median values: 0.1568, and quantile values: 0.25 0.036358\n0.50 0.156800\n0.75 0.643060\nName: 3952, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.231367173107547, std values: 4.774874499035559, min values: 1.0232e-06, max values: 38.495, median values: 0.14598, and quantile values: 0.25 0.052173\n0.50 0.145980\n0.75 0.617990\nName: 3953, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.561582711025786, std values: 5.136759653604168, min values: 4.63e-06, max values: 41.656, median values: 0.22626, and quantile values: 0.25 0.072192\n0.50 0.226260\n0.75 0.891150\nName: 3954, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4694785949176101, std values: 4.960086811130025, min values: 1.8015e-06, max values: 39.795, median values: 0.21415, and quantile values: 0.25 0.059498\n0.50 0.214150\n0.75 0.896565\nName: 3955, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3165736263115724, std values: 4.8263375761910545, min values: 6.8254e-07, max values: 38.065, median values: 0.16163, and quantile values: 0.25 0.052686\n0.50 0.161630\n0.75 0.653925\nName: 3956, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8853384333333334, std values: 5.133375929902355, min values: 5.51e-06, max values: 40.462, median values: 0.32212, and quantile values: 0.25 0.10423\n0.50 0.32212\n0.75 1.24095\nName: 3957, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7899611438830187, std values: 5.23545452832699, min values: 1.6805e-06, max values: 42.215, median values: 0.31183, and quantile values: 0.25 0.084068\n0.50 0.311830\n0.75 1.276550\nName: 3958, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4523124004501258, std values: 5.043452383416373, min values: 6.8167e-07, max values: 42.429, median values: 0.22459, and quantile values: 0.25 0.058468\n0.50 0.224590\n0.75 0.866975\nName: 3959, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6012526787553458, std values: 5.143863436610542, min values: 2.853e-06, max values: 42.038, median values: 0.24135, and quantile values: 0.25 0.074266\n0.50 0.241350\n0.75 1.008050\nName: 3960, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.552746201210063, std values: 4.969608877849193, min values: 1.2787e-06, max values: 40.142, median values: 0.27101, and quantile values: 0.25 0.070499\n0.50 0.271010\n0.75 0.884990\nName: 3961, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.512551630592453, std values: 4.906096461955971, min values: 5.3095e-06, max values: 40.544, median values: 0.25616, and quantile values: 0.25 0.064531\n0.50 0.256160\n0.75 0.837615\nName: 3962, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7243422742377361, std values: 5.261140280806668, min values: 1.8005e-06, max values: 43.378, median values: 0.278, and quantile values: 0.25 0.074352\n0.50 0.278000\n0.75 1.172100\nName: 3963, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4849199979345913, std values: 5.013939936809423, min values: 2.396e-06, max values: 40.11, median values: 0.23152, and quantile values: 0.25 0.061441\n0.50 0.231520\n0.75 0.822960\nName: 3964, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3730537492657233, std values: 4.706344180773861, min values: 2.5055e-07, max values: 37.861, median values: 0.18423, and quantile values: 0.25 0.050543\n0.50 0.184230\n0.75 0.833465\nName: 3965, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.543354527189308, std values: 5.375234930053283, min values: 1.3465e-06, max values: 47.294, median values: 0.22009, and quantile values: 0.25 0.057932\n0.50 0.220090\n0.75 0.975140\nName: 3966, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4765219421437736, std values: 4.742494071052486, min values: 4.5606e-07, max values: 37.871, median values: 0.23549, and quantile values: 0.25 0.064508\n0.50 0.235490\n0.75 0.966880\nName: 3967, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.458888991045283, std values: 5.136351022610004, min values: 1.4264e-06, max values: 43.891, median values: 0.19932, and quantile values: 0.25 0.059903\n0.50 0.199320\n0.75 0.855325\nName: 3968, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.492573991418868, std values: 4.967239791101269, min values: 1.0958e-06, max values: 40.073, median values: 0.20578, and quantile values: 0.25 0.062048\n0.50 0.205780\n0.75 0.894635\nName: 3969, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5488839299567922, std values: 4.846641343328854, min values: 6.9973e-07, max values: 38.421, median values: 0.26022, and quantile values: 0.25 0.067869\n0.50 0.260220\n0.75 1.063400\nName: 3970, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6169336547301885, std values: 5.10898843929773, min values: 3.1777e-06, max values: 40.656, median values: 0.24509, and quantile values: 0.25 0.066046\n0.50 0.245090\n0.75 1.035830\nName: 3971, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4037171608610064, std values: 4.9717323920383985, min values: 2.0931e-06, max values: 40.289, median values: 0.19474, and quantile values: 0.25 0.063946\n0.50 0.194740\n0.75 0.787035\nName: 3972, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3925369224884527, std values: 4.6002065981108, min values: 2.2927e-08, max values: 36.133, median values: 0.15746, and quantile values: 0.25 0.033211\n0.50 0.157460\n0.75 0.837090\nName: 3973, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8070789882578238, std values: 5.009387896097198, min values: 6.7994e-08, max values: 38.288, median values: 0.35628, and quantile values: 0.25 0.084565\n0.50 0.356280\n0.75 1.236650\nName: 3974, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5309495571704401, std values: 4.897682454975231, min values: 2.2914e-06, max values: 39.038, median values: 0.25597, and quantile values: 0.25 0.072362\n0.50 0.255970\n0.75 0.996200\nName: 3975, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4250966831577987, std values: 4.818227828544095, min values: 6.4629e-07, max values: 38.606, median values: 0.20545, and quantile values: 0.25 0.056589\n0.50 0.205450\n0.75 0.804280\nName: 3976, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5668227037320757, std values: 5.079503765953865, min values: 3.174e-06, max values: 40.704, median values: 0.26326, and quantile values: 0.25 0.074250\n0.50 0.263260\n0.75 0.967685\nName: 3977, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5439371197245284, std values: 4.935752745678744, min values: 4.5961e-06, max values: 40.152, median values: 0.22939, and quantile values: 0.25 0.073673\n0.50 0.229390\n0.75 0.943420\nName: 3978, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9054070291345915, std values: 5.4095004356515375, min values: 3.0292e-06, max values: 44.057, median values: 0.31818, and quantile values: 0.25 0.091227\n0.50 0.318180\n0.75 1.225100\nName: 3979, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5476774182194968, std values: 5.095460026686599, min values: 2.15e-06, max values: 41.551, median values: 0.24226, and quantile values: 0.25 0.063768\n0.50 0.242260\n0.75 0.937420\nName: 3980, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2905579503773585, std values: 4.661206244624921, min values: 6.589e-07, max values: 37.536, median values: 0.17526, and quantile values: 0.25 0.053096\n0.50 0.175260\n0.75 0.718835\nName: 3981, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6335841913102516, std values: 4.973619704724055, min values: 1.2143e-07, max values: 40.195, median values: 0.24811, and quantile values: 0.25 0.067319\n0.50 0.248110\n0.75 1.143000\nName: 3982, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6844821333415096, std values: 5.015017143604206, min values: 1.7382e-06, max values: 39.321, median values: 0.26827, and quantile values: 0.25 0.075902\n0.50 0.268270\n0.75 1.150550\nName: 3983, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4792600683696855, std values: 4.957534219190639, min values: 1.8626e-07, max values: 41.879, median values: 0.18983, and quantile values: 0.25 0.052534\n0.50 0.189830\n0.75 0.865220\nName: 3984, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4989629071971697, std values: 4.929557628338188, min values: 3.6965e-07, max values: 40.53, median values: 0.19268, and quantile values: 0.25 0.054303\n0.50 0.192680\n0.75 0.879120\nName: 3985, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5425141288171071, std values: 4.799637709869757, min values: 3.5052e-07, max values: 37.819, median values: 0.20309, and quantile values: 0.25 0.057868\n0.50 0.203090\n0.75 0.998315\nName: 3986, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5491222357383647, std values: 5.242807943997831, min values: 4.0554e-06, max values: 41.849, median values: 0.22985, and quantile values: 0.25 0.072688\n0.50 0.229850\n0.75 0.735035\nName: 3987, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4035863112235218, std values: 4.667316879721084, min values: 2.5484e-07, max values: 36.989, median values: 0.22498, and quantile values: 0.25 0.052996\n0.50 0.224980\n0.75 0.847005\nName: 3988, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6192392378, std values: 5.034518802730866, min values: 1.8073e-06, max values: 39.535, median values: 0.28375, and quantile values: 0.25 0.067607\n0.50 0.283750\n0.75 1.082855\nName: 3989, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2453721146692516, std values: 4.563886126550747, min values: 2.2684e-08, max values: 36.906, median values: 0.14134, and quantile values: 0.25 0.028691\n0.50 0.141340\n0.75 0.590395\nName: 3990, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2551002769401887, std values: 4.456641020506719, min values: 6.0999e-07, max values: 37.836, median values: 0.17007, and quantile values: 0.25 0.048988\n0.50 0.170070\n0.75 0.677945\nName: 3991, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.47183176523522, std values: 4.779673997685846, min values: 1.1954e-06, max values: 38.855, median values: 0.20787, and quantile values: 0.25 0.063758\n0.50 0.207870\n0.75 0.921115\nName: 3992, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3188966454830189, std values: 4.7145740259272655, min values: 1.0073e-06, max values: 38.517, median values: 0.16572, and quantile values: 0.25 0.056416\n0.50 0.165720\n0.75 0.758500\nName: 3993, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4166918323396227, std values: 4.812339181494152, min values: 2.5906e-06, max values: 39.21, median values: 0.19008, and quantile values: 0.25 0.064079\n0.50 0.190080\n0.75 0.848940\nName: 3994, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.535217047254717, std values: 4.933458471734771, min values: 1.2727e-06, max values: 39.003, median values: 0.21687, and quantile values: 0.25 0.066361\n0.50 0.216870\n0.75 0.961630\nName: 3995, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3416565546352204, std values: 4.789443747706973, min values: 1.8585e-06, max values: 39.753, median values: 0.19854, and quantile values: 0.25 0.050436\n0.50 0.198540\n0.75 0.808485\nName: 3996, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4259017818930817, std values: 5.044531186015681, min values: 1.4617e-06, max values: 42.059, median values: 0.20997, and quantile values: 0.25 0.054469\n0.50 0.209970\n0.75 0.868590\nName: 3997, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.71924948978239, std values: 5.288911308096461, min values: 3.2057e-06, max values: 43.851, median values: 0.3046, and quantile values: 0.25 0.087317\n0.50 0.304600\n0.75 1.131850\nName: 3998, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5180013952352203, std values: 5.061908912046388, min values: 1.3545e-06, max values: 42.03, median values: 0.23591, and quantile values: 0.25 0.064036\n0.50 0.235910\n0.75 0.944860\nName: 3999, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.523459633527736, std values: 4.949376785743543, min values: 9.5121e-07, max values: 40.627, median values: 0.2461, and quantile values: 0.25 0.060352\n0.50 0.246100\n0.75 0.940145\nName: 4000, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.583457219791195, std values: 4.899285100363331, min values: 2.0042e-06, max values: 38.792, median values: 0.27761, and quantile values: 0.25 0.074223\n0.50 0.277610\n0.75 1.033650\nName: 4001, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3129162824402514, std values: 4.821713840043916, min values: 5.19e-07, max values: 39.437, median values: 0.18429, and quantile values: 0.25 0.05311\n0.50 0.18429\n0.75 0.73116\nName: 4002, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4433949334113205, std values: 4.950159616822698, min values: 1.7316e-06, max values: 40.501, median values: 0.21941, and quantile values: 0.25 0.067486\n0.50 0.219410\n0.75 0.813970\nName: 4003, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.44741345234717, std values: 5.00359465784377, min values: 2.5396e-06, max values: 40.481, median values: 0.18654, and quantile values: 0.25 0.062331\n0.50 0.186540\n0.75 0.828895\nName: 4004, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.499140024162264, std values: 4.9636733585990465, min values: 3.3927e-06, max values: 39.191, median values: 0.2301, and quantile values: 0.25 0.066550\n0.50 0.230100\n0.75 0.863415\nName: 4005, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.405306315337799, std values: 4.810684622437316, min values: 7.8681e-07, max values: 38.313, median values: 0.17529, and quantile values: 0.25 0.063364\n0.50 0.175290\n0.75 0.795945\nName: 4006, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4716871597976102, std values: 4.989851114373873, min values: 3.5322e-07, max values: 42.008, median values: 0.1914, and quantile values: 0.25 0.055351\n0.50 0.191400\n0.75 0.859000\nName: 4007, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3743275129050314, std values: 4.99681262895144, min values: 2.1642e-06, max values: 41.115, median values: 0.18489, and quantile values: 0.25 0.058130\n0.50 0.184890\n0.75 0.682885\nName: 4008, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4055671596186163, std values: 4.84217570592645, min values: 7.5636e-07, max values: 39.238, median values: 0.21071, and quantile values: 0.25 0.060765\n0.50 0.210710\n0.75 0.846235\nName: 4009, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.465594597087107, std values: 4.821721213596753, min values: 3.6415e-07, max values: 38.714, median values: 0.19377, and quantile values: 0.25 0.051656\n0.50 0.193770\n0.75 0.826480\nName: 4010, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3483197451509437, std values: 4.7667242176737155, min values: 1.1562e-06, max values: 38.691, median values: 0.19579, and quantile values: 0.25 0.057916\n0.50 0.195790\n0.75 0.715640\nName: 4011, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3436147927499371, std values: 4.83593309394542, min values: 8.0994e-07, max values: 39.437, median values: 0.18606, and quantile values: 0.25 0.050082\n0.50 0.186060\n0.75 0.754210\nName: 4012, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4572277068553459, std values: 4.8989697674310655, min values: 4.409e-06, max values: 41.162, median values: 0.2245, and quantile values: 0.25 0.069986\n0.50 0.224500\n0.75 0.787550\nName: 4013, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5645823461484276, std values: 5.167195363582216, min values: 1.7744e-06, max values: 43.835, median values: 0.26647, and quantile values: 0.25 0.078764\n0.50 0.266470\n0.75 0.953460\nName: 4014, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.388733794695786, std values: 4.690717036086439, min values: 9.8243e-07, max values: 38.231, median values: 0.22191, and quantile values: 0.25 0.062512\n0.50 0.221910\n0.75 0.834980\nName: 4015, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3787125065398114, std values: 4.695760993489, min values: 2.9027e-07, max values: 37.105, median values: 0.18474, and quantile values: 0.25 0.054713\n0.50 0.184740\n0.75 0.769395\nName: 4016, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5126585737547167, std values: 5.073504908122688, min values: 3.1094e-06, max values: 40.608, median values: 0.22799, and quantile values: 0.25 0.069505\n0.50 0.227990\n0.75 0.875895\nName: 4017, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5694602335761005, std values: 5.02388018042545, min values: 1.0078e-06, max values: 41.118, median values: 0.26453, and quantile values: 0.25 0.066674\n0.50 0.264530\n0.75 1.033590\nName: 4018, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5290321126182393, std values: 4.9567167818088125, min values: 1.618e-06, max values: 40.479, median values: 0.23936, and quantile values: 0.25 0.073545\n0.50 0.239360\n0.75 0.900825\nName: 4019, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3936657226591382, std values: 4.76218288114457, min values: 1.3503e-08, max values: 38.233, median values: 0.18995, and quantile values: 0.25 0.050711\n0.50 0.189950\n0.75 0.803680\nName: 4020, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2819499878863523, std values: 4.453802452429467, min values: 1.0625e-07, max values: 36.241, median values: 0.15737, and quantile values: 0.25 0.044913\n0.50 0.157370\n0.75 0.669575\nName: 4021, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.702616647753459, std values: 5.3144701856977985, min values: 2.2725e-06, max values: 44.75, median values: 0.28682, and quantile values: 0.25 0.085021\n0.50 0.286820\n0.75 1.079200\nName: 4022, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.744970710974214, std values: 5.029496804242529, min values: 2.2676e-06, max values: 39.332, median values: 0.30308, and quantile values: 0.25 0.077948\n0.50 0.303080\n0.75 1.233050\nName: 4023, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.457405261380503, std values: 4.71570878747961, min values: 1.0965e-06, max values: 37.506, median values: 0.24168, and quantile values: 0.25 0.068668\n0.50 0.241680\n0.75 0.965485\nName: 4024, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4939076137383647, std values: 4.7033825418933475, min values: 5.542e-07, max values: 37.856, median values: 0.24156, and quantile values: 0.25 0.070938\n0.50 0.241560\n0.75 0.963875\nName: 4025, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4285182438327046, std values: 5.043185496073749, min values: 3.1813e-06, max values: 40.648, median values: 0.2192, and quantile values: 0.25 0.065143\n0.50 0.219200\n0.75 0.802445\nName: 4026, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.609239333955346, std values: 5.161877149296841, min values: 1.3602e-06, max values: 42.956, median values: 0.23612, and quantile values: 0.25 0.065305\n0.50 0.236120\n0.75 0.964515\nName: 4027, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4522480686405033, std values: 4.846257202141281, min values: 3.2934e-07, max values: 39.531, median values: 0.17751, and quantile values: 0.25 0.047615\n0.50 0.177510\n0.75 0.875700\nName: 4028, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2536291745636352, std values: 4.651360630453117, min values: 1.7118e-08, max values: 37.342, median values: 0.15499, and quantile values: 0.25 0.039766\n0.50 0.154990\n0.75 0.669105\nName: 4029, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6048780680194967, std values: 5.258381146004633, min values: 4.5666e-06, max values: 42.352, median values: 0.27572, and quantile values: 0.25 0.076777\n0.50 0.275720\n0.75 0.886035\nName: 4030, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5051396932874215, std values: 4.844817575793635, min values: 4.0009e-06, max values: 40.352, median values: 0.26815, and quantile values: 0.25 0.075087\n0.50 0.268150\n0.75 0.918770\nName: 4031, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5811606875032076, std values: 4.892259458195142, min values: 5.5511e-07, max values: 38.892, median values: 0.23626, and quantile values: 0.25 0.068584\n0.50 0.236260\n0.75 1.002325\nName: 4032, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4523172981919494, std values: 4.864864182287941, min values: 5.3842e-07, max values: 39.489, median values: 0.22131, and quantile values: 0.25 0.068205\n0.50 0.221310\n0.75 0.827740\nName: 4033, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5411503683855345, std values: 4.807467368535092, min values: 2.3663e-06, max values: 39.54, median values: 0.25772, and quantile values: 0.25 0.079975\n0.50 0.257720\n0.75 1.014850\nName: 4034, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5532867665471697, std values: 4.9757396725672605, min values: 2.7801e-06, max values: 39.357, median values: 0.22741, and quantile values: 0.25 0.065048\n0.50 0.227410\n0.75 1.015850\nName: 4035, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5356718354779875, std values: 4.820793004639343, min values: 1.0399e-06, max values: 37.963, median values: 0.24742, and quantile values: 0.25 0.069657\n0.50 0.247420\n0.75 1.013440\nName: 4036, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5972514723106916, std values: 5.048808792952878, min values: 3.8922e-06, max values: 40.285, median values: 0.2593, and quantile values: 0.25 0.061118\n0.50 0.259300\n0.75 0.973120\nName: 4037, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8886090708176102, std values: 5.2213363435534195, min values: 2.3698e-06, max values: 40.716, median values: 0.36663, and quantile values: 0.25 0.08907\n0.50 0.36663\n0.75 1.38200\nName: 4038, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6988632361081761, std values: 5.070803968448098, min values: 4.4041e-06, max values: 39.564, median values: 0.29635, and quantile values: 0.25 0.086381\n0.50 0.296350\n0.75 1.066700\nName: 4039, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4368490659056603, std values: 4.772376798287124, min values: 6.883e-07, max values: 37.874, median values: 0.23404, and quantile values: 0.25 0.064502\n0.50 0.234040\n0.75 0.901000\nName: 4040, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4999297425625786, std values: 5.003050280691986, min values: 5.5365e-07, max values: 41.83, median values: 0.22405, and quantile values: 0.25 0.060895\n0.50 0.224050\n0.75 0.914045\nName: 4041, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.37120301225761, std values: 5.1279630232475135, min values: 9.0966e-07, max values: 44.612, median values: 0.17266, and quantile values: 0.25 0.055318\n0.50 0.172660\n0.75 0.729785\nName: 4042, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4742329085289305, std values: 4.915690992487689, min values: 3.87e-07, max values: 40.181, median values: 0.23041, and quantile values: 0.25 0.057281\n0.50 0.230410\n0.75 0.894890\nName: 4043, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6183715197994337, std values: 5.120456722575333, min values: 5.6931e-07, max values: 43.348, median values: 0.24027, and quantile values: 0.25 0.067164\n0.50 0.240270\n0.75 1.023085\nName: 4044, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5556632177584906, std values: 5.01772728037534, min values: 3.4154e-06, max values: 40.422, median values: 0.26381, and quantile values: 0.25 0.072127\n0.50 0.263810\n0.75 0.955980\nName: 4045, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9568385656188678, std values: 5.520409884481296, min values: 4.5734e-06, max values: 44.368, median values: 0.34098, and quantile values: 0.25 0.087944\n0.50 0.340980\n0.75 1.335950\nName: 4046, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4022021212207547, std values: 4.898340235859663, min values: 4.0924e-06, max values: 40.008, median values: 0.20979, and quantile values: 0.25 0.062530\n0.50 0.209790\n0.75 0.743195\nName: 4047, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.521738583772327, std values: 5.1870210218782296, min values: 2.3897e-06, max values: 43.433, median values: 0.24633, and quantile values: 0.25 0.063636\n0.50 0.246330\n0.75 0.904145\nName: 4048, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5832203731939685, std values: 5.1585003599066805, min values: 2.8241e-08, max values: 44.51, median values: 0.23512, and quantile values: 0.25 0.061833\n0.50 0.235120\n0.75 1.048550\nName: 4049, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.169826395072956, std values: 4.8067257959565906, min values: 1.1661e-06, max values: 39.806, median values: 0.13235, and quantile values: 0.25 0.038742\n0.50 0.132350\n0.75 0.530115\nName: 4050, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3890676490074843, std values: 4.811511618221465, min values: 5.0619e-07, max values: 39.697, median values: 0.20466, and quantile values: 0.25 0.05450\n0.50 0.20466\n0.75 0.79527\nName: 4051, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.274467147185283, std values: 4.621373815359673, min values: 9.3506e-07, max values: 38.996, median values: 0.15031, and quantile values: 0.25 0.050334\n0.50 0.150310\n0.75 0.641315\nName: 4052, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3971880826661636, std values: 4.688425038212118, min values: 5.1042e-07, max values: 38.015, median values: 0.20564, and quantile values: 0.25 0.057992\n0.50 0.205640\n0.75 0.870175\nName: 4053, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5109818390880505, std values: 4.74509987691119, min values: 1.2325e-06, max values: 38.225, median values: 0.24404, and quantile values: 0.25 0.066598\n0.50 0.244040\n0.75 1.007435\nName: 4054, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3376058061672955, std values: 4.769694170093987, min values: 2.426e-06, max values: 40.852, median values: 0.18194, and quantile values: 0.25 0.053976\n0.50 0.181940\n0.75 0.705075\nName: 4055, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2149894314221386, std values: 4.740604103436456, min values: 6.6012e-07, max values: 38.597, median values: 0.14541, and quantile values: 0.25 0.047048\n0.50 0.145410\n0.75 0.620165\nName: 4056, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.87218513948239, std values: 5.309920256380064, min values: 4.9897e-06, max values: 40.569, median values: 0.33711, and quantile values: 0.25 0.097028\n0.50 0.337110\n0.75 1.236350\nName: 4057, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.524049894364151, std values: 4.906740390923905, min values: 3.1091e-06, max values: 40.207, median values: 0.26702, and quantile values: 0.25 0.066556\n0.50 0.267020\n0.75 0.912110\nName: 4058, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5770365142301888, std values: 5.261563203377096, min values: 1.5913e-06, max values: 44.535, median values: 0.21779, and quantile values: 0.25 0.060061\n0.50 0.217790\n0.75 0.948910\nName: 4059, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6557045334, std values: 5.167229720861293, min values: 3.3648e-06, max values: 40.433, median values: 0.27561, and quantile values: 0.25 0.07751\n0.50 0.27561\n0.75 0.95877\nName: 4060, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5113508593509435, std values: 4.984646371362738, min values: 7.777e-07, max values: 41.212, median values: 0.23478, and quantile values: 0.25 0.063311\n0.50 0.234780\n0.75 0.942615\nName: 4061, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5930178899597485, std values: 5.198858210014446, min values: 3.3034e-06, max values: 42.696, median values: 0.23023, and quantile values: 0.25 0.074333\n0.50 0.230230\n0.75 0.965710\nName: 4062, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3548115551866666, std values: 4.66135761061004, min values: 7.7458e-07, max values: 37.684, median values: 0.18988, and quantile values: 0.25 0.058801\n0.50 0.189880\n0.75 0.781465\nName: 4063, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.65875662981761, std values: 5.037361366134433, min values: 6.003e-06, max values: 40.54, median values: 0.26509, and quantile values: 0.25 0.07693\n0.50 0.26509\n0.75 1.01820\nName: 4064, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7504051399811318, std values: 5.2946567520705425, min values: 3.6899e-06, max values: 42.722, median values: 0.29699, and quantile values: 0.25 0.090054\n0.50 0.296990\n0.75 1.127300\nName: 4065, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6534063409982391, std values: 5.162610098646711, min values: 1.862e-08, max values: 43.526, median values: 0.24973, and quantile values: 0.25 0.061976\n0.50 0.249730\n0.75 1.159800\nName: 4066, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.452368066644761, std values: 4.71018720552513, min values: 2.3967e-08, max values: 36.973, median values: 0.21066, and quantile values: 0.25 0.052359\n0.50 0.210660\n0.75 0.916480\nName: 4067, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7425915114751007, std values: 5.182755396575635, min values: 2.8841e-08, max values: 43.346, median values: 0.25461, and quantile values: 0.25 0.063704\n0.50 0.254610\n0.75 1.170000\nName: 4068, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4707820814603771, std values: 4.946653142765624, min values: 1.586e-06, max values: 39.725, median values: 0.2156, and quantile values: 0.25 0.063705\n0.50 0.215600\n0.75 0.905565\nName: 4069, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6404181362798744, std values: 5.3154682919714435, min values: 4.7438e-06, max values: 44.076, median values: 0.27696, and quantile values: 0.25 0.071927\n0.50 0.276960\n0.75 1.032550\nName: 4070, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5435296937115723, std values: 5.14333817732463, min values: 9.8894e-07, max values: 43.791, median values: 0.20744, and quantile values: 0.25 0.064325\n0.50 0.207440\n0.75 0.930025\nName: 4071, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5249897908084276, std values: 4.570229506184527, min values: 6.7954e-07, max values: 38.06, median values: 0.26307, and quantile values: 0.25 0.078425\n0.50 0.263070\n0.75 1.031430\nName: 4072, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3698267980393082, std values: 4.9535414136941505, min values: 7.4135e-07, max values: 42.271, median values: 0.18049, and quantile values: 0.25 0.055633\n0.50 0.180490\n0.75 0.788265\nName: 4073, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4811014559014717, std values: 5.001589998554959, min values: 3.2444e-08, max values: 42.408, median values: 0.19515, and quantile values: 0.25 0.048973\n0.50 0.195150\n0.75 0.814925\nName: 4074, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5556169569130187, std values: 4.933011808513857, min values: 7.2027e-07, max values: 39.672, median values: 0.24578, and quantile values: 0.25 0.064701\n0.50 0.245780\n0.75 0.965950\nName: 4075, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5748628523867925, std values: 5.107975216121079, min values: 3.3622e-06, max values: 40.541, median values: 0.26177, and quantile values: 0.25 0.072807\n0.50 0.261770\n0.75 0.963030\nName: 4076, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.703916475550943, std values: 5.192713371485871, min values: 1.3656e-06, max values: 42.953, median values: 0.29203, and quantile values: 0.25 0.075606\n0.50 0.292030\n0.75 1.168950\nName: 4077, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2815538736069183, std values: 4.783055021237897, min values: 1.281e-06, max values: 38.42, median values: 0.15658, and quantile values: 0.25 0.058149\n0.50 0.156580\n0.75 0.657310\nName: 4078, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6687771606320758, std values: 4.971875549914173, min values: 2.1792e-06, max values: 39.413, median values: 0.27171, and quantile values: 0.25 0.083227\n0.50 0.271710\n0.75 1.161900\nName: 4079, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.0124340715811324, std values: 5.381271403206579, min values: 5.3474e-06, max values: 39.832, median values: 0.35843, and quantile values: 0.25 0.111515\n0.50 0.358430\n0.75 1.340400\nName: 4080, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5028725986308176, std values: 4.868098381037273, min values: 2.7509e-06, max values: 39.936, median values: 0.2552, and quantile values: 0.25 0.071523\n0.50 0.255200\n0.75 0.911735\nName: 4081, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5778104493603773, std values: 5.055335887426413, min values: 1.9512e-06, max values: 41.997, median values: 0.27811, and quantile values: 0.25 0.074551\n0.50 0.278110\n0.75 1.002880\nName: 4082, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5360552933564842, std values: 4.8797541312620725, min values: 2.8887e-08, max values: 40.494, median values: 0.20835, and quantile values: 0.25 0.049989\n0.50 0.208350\n0.75 0.957595\nName: 4083, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3095631660308176, std values: 4.758358364323641, min values: 1.3033e-06, max values: 39.186, median values: 0.1604, and quantile values: 0.25 0.051830\n0.50 0.160400\n0.75 0.686875\nName: 4084, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3033558066428301, std values: 4.81145421166415, min values: 3.1111e-07, max values: 39.802, median values: 0.15453, and quantile values: 0.25 0.044314\n0.50 0.154530\n0.75 0.664695\nName: 4085, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5049043864489309, std values: 5.017534084695764, min values: 7.0468e-07, max values: 41.693, median values: 0.23282, and quantile values: 0.25 0.065966\n0.50 0.232820\n0.75 0.864275\nName: 4086, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5008421884411323, std values: 5.115610595721663, min values: 4.6884e-07, max values: 43.754, median values: 0.21543, and quantile values: 0.25 0.058061\n0.50 0.215430\n0.75 0.826230\nName: 4087, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7094869812918236, std values: 5.215204380617396, min values: 5.1079e-06, max values: 40.935, median values: 0.28195, and quantile values: 0.25 0.083171\n0.50 0.281950\n0.75 1.070150\nName: 4088, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3491796368962892, std values: 4.620224503610231, min values: 2.4141e-07, max values: 37.687, median values: 0.18835, and quantile values: 0.25 0.055859\n0.50 0.188350\n0.75 0.757895\nName: 4089, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5118158290662893, std values: 4.809011165651364, min values: 9.9554e-07, max values: 38.391, median values: 0.23962, and quantile values: 0.25 0.061361\n0.50 0.239620\n0.75 1.002420\nName: 4090, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.625417708237736, std values: 5.101939161092512, min values: 3.936e-06, max values: 40.675, median values: 0.25828, and quantile values: 0.25 0.068787\n0.50 0.258280\n0.75 1.033450\nName: 4091, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.371677214385912, std values: 4.772843692885419, min values: 2.1946e-07, max values: 38.934, median values: 0.20462, and quantile values: 0.25 0.050688\n0.50 0.204620\n0.75 0.776820\nName: 4092, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4406489582195598, std values: 4.620442873942016, min values: 5.3411e-07, max values: 37.358, median values: 0.21837, and quantile values: 0.25 0.058911\n0.50 0.218370\n0.75 0.877500\nName: 4093, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.427863635431195, std values: 4.770199156464516, min values: 3.7134e-07, max values: 38.33, median values: 0.17613, and quantile values: 0.25 0.051744\n0.50 0.176130\n0.75 0.777970\nName: 4094, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5680297577559748, std values: 4.940605574556292, min values: 1.1332e-06, max values: 38.979, median values: 0.26495, and quantile values: 0.25 0.066446\n0.50 0.264950\n0.75 1.023250\nName: 4095, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3934998637484275, std values: 4.6449290610216645, min values: 1.4361e-06, max values: 38.522, median values: 0.20384, and quantile values: 0.25 0.069636\n0.50 0.203840\n0.75 0.831670\nName: 4096, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.487073369810692, std values: 5.042677624510366, min values: 2.0446e-06, max values: 41.408, median values: 0.21106, and quantile values: 0.25 0.065814\n0.50 0.211060\n0.75 0.868905\nName: 4097, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5903960616679245, std values: 5.043318638861247, min values: 4.826e-07, max values: 41.938, median values: 0.25546, and quantile values: 0.25 0.068099\n0.50 0.255460\n0.75 1.017850\nName: 4098, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4187759437861005, std values: 4.847205932437204, min values: 5.5119e-07, max values: 38.953, median values: 0.20684, and quantile values: 0.25 0.055406\n0.50 0.206840\n0.75 0.886545\nName: 4099, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4395975780849055, std values: 4.713005332774873, min values: 1.6197e-06, max values: 38.425, median values: 0.24703, and quantile values: 0.25 0.068229\n0.50 0.247030\n0.75 0.864265\nName: 4100, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2495825960271072, std values: 4.720387199477401, min values: 5.1631e-07, max values: 37.926, median values: 0.17008, and quantile values: 0.25 0.045791\n0.50 0.170080\n0.75 0.686815\nName: 4101, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3646308455471696, std values: 4.736413185262757, min values: 1.2168e-06, max values: 38.205, median values: 0.21006, and quantile values: 0.25 0.062258\n0.50 0.210060\n0.75 0.769125\nName: 4102, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3877695291953458, std values: 4.92056519831327, min values: 2.2191e-07, max values: 41.671, median values: 0.20332, and quantile values: 0.25 0.045759\n0.50 0.203320\n0.75 0.779640\nName: 4103, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5376073323955977, std values: 5.094199834978609, min values: 2.1499e-06, max values: 41.569, median values: 0.23391, and quantile values: 0.25 0.055817\n0.50 0.233910\n0.75 1.004100\nName: 4104, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6277810688830188, std values: 4.805113287815578, min values: 3.0112e-06, max values: 39.615, median values: 0.32448, and quantile values: 0.25 0.086808\n0.50 0.324480\n0.75 1.069300\nName: 4105, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5061757159339624, std values: 4.980409650247558, min values: 3.8438e-06, max values: 39.565, median values: 0.23458, and quantile values: 0.25 0.074570\n0.50 0.234580\n0.75 0.892545\nName: 4106, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4216815931339621, std values: 4.715099002115607, min values: 1.6959e-06, max values: 38.688, median values: 0.22663, and quantile values: 0.25 0.067202\n0.50 0.226630\n0.75 0.899445\nName: 4107, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5507061617773585, std values: 4.909789018568072, min values: 1.0925e-06, max values: 39.239, median values: 0.24439, and quantile values: 0.25 0.065846\n0.50 0.244390\n0.75 0.972005\nName: 4108, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2977477554496855, std values: 4.668602308698454, min values: 1.7966e-06, max values: 38.795, median values: 0.17271, and quantile values: 0.25 0.057571\n0.50 0.172710\n0.75 0.696290\nName: 4109, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5439502163490564, std values: 4.821931223492635, min values: 2.8231e-06, max values: 39.623, median values: 0.23489, and quantile values: 0.25 0.076034\n0.50 0.234890\n0.75 0.955440\nName: 4110, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3636038294566668, std values: 4.742239387620209, min values: 7.2221e-07, max values: 37.908, median values: 0.19041, and quantile values: 0.25 0.057288\n0.50 0.190410\n0.75 0.751015\nName: 4111, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.42517988029, std values: 4.986792221379555, min values: 2.8241e-07, max values: 42.231, median values: 0.20246, and quantile values: 0.25 0.051727\n0.50 0.202460\n0.75 0.822750\nName: 4112, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.718682268073585, std values: 5.198765014615258, min values: 2.9702e-06, max values: 41.246, median values: 0.29941, and quantile values: 0.25 0.079649\n0.50 0.299410\n0.75 1.121650\nName: 4113, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4568217326163522, std values: 4.591939356507018, min values: 1.6197e-06, max values: 37.975, median values: 0.22413, and quantile values: 0.25 0.068116\n0.50 0.224130\n0.75 0.913910\nName: 4114, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1398856003150943, std values: 4.536685042662076, min values: 1.3635e-06, max values: 38.871, median values: 0.11722, and quantile values: 0.25 0.035391\n0.50 0.117220\n0.75 0.483905\nName: 4115, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7912492630616355, std values: 5.131368130489917, min values: 2.6541e-06, max values: 39.566, median values: 0.35044, and quantile values: 0.25 0.091647\n0.50 0.350440\n0.75 1.253950\nName: 4116, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4058530420296225, std values: 4.830732722769904, min values: 6.2741e-07, max values: 38.379, median values: 0.1878, and quantile values: 0.25 0.061127\n0.50 0.187800\n0.75 0.769810\nName: 4117, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3011652434355347, std values: 4.853682943888829, min values: 7.0085e-07, max values: 40.871, median values: 0.18016, and quantile values: 0.25 0.057442\n0.50 0.180160\n0.75 0.699665\nName: 4118, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5614411255562266, std values: 5.272831687806684, min values: 1.7374e-07, max values: 46.964, median values: 0.21629, and quantile values: 0.25 0.057797\n0.50 0.216290\n0.75 0.889210\nName: 4119, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4299547575518239, std values: 5.105423692771126, min values: 1.3844e-07, max values: 44.431, median values: 0.17943, and quantile values: 0.25 0.051197\n0.50 0.179430\n0.75 0.830855\nName: 4120, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4164846312408803, std values: 5.008744333270629, min values: 4.836e-06, max values: 42.017, median values: 0.2106, and quantile values: 0.25 0.05656\n0.50 0.21060\n0.75 0.70277\nName: 4121, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6253133756973395, std values: 5.0279489991279895, min values: 6.6177e-08, max values: 41.759, median values: 0.21325, and quantile values: 0.25 0.055877\n0.50 0.213250\n0.75 1.050050\nName: 4122, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4599214425863523, std values: 4.8887718868068, min values: 6.1113e-07, max values: 39.992, median values: 0.2183, and quantile values: 0.25 0.065163\n0.50 0.218300\n0.75 0.912485\nName: 4123, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.554277668754717, std values: 4.802664795310796, min values: 1.2715e-06, max values: 39.542, median values: 0.23795, and quantile values: 0.25 0.070375\n0.50 0.237950\n0.75 1.017800\nName: 4124, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3157622956601636, std values: 4.800733861014939, min values: 4.2266e-08, max values: 39.224, median values: 0.1602, and quantile values: 0.25 0.045234\n0.50 0.160200\n0.75 0.759475\nName: 4125, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5935425816984277, std values: 5.089803424796954, min values: 8.2435e-07, max values: 42.916, median values: 0.23132, and quantile values: 0.25 0.066472\n0.50 0.231320\n0.75 0.988305\nName: 4126, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2210464410584907, std values: 4.793613437019655, min values: 4.699e-07, max values: 39.752, median values: 0.13041, and quantile values: 0.25 0.041404\n0.50 0.130410\n0.75 0.602020\nName: 4127, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4144111055851571, std values: 4.884050966774004, min values: 2.2934e-07, max values: 41.13, median values: 0.17965, and quantile values: 0.25 0.050117\n0.50 0.179650\n0.75 0.805430\nName: 4128, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.379771693027673, std values: 4.791950888032768, min values: 1.8113e-06, max values: 39.027, median values: 0.20836, and quantile values: 0.25 0.062267\n0.50 0.208360\n0.75 0.866355\nName: 4129, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6488244372339624, std values: 5.189590578084137, min values: 2.7472e-06, max values: 41.631, median values: 0.29858, and quantile values: 0.25 0.072185\n0.50 0.298580\n0.75 1.068760\nName: 4130, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7676955178402516, std values: 5.438789817956424, min values: 2.759e-06, max values: 45.436, median values: 0.30639, and quantile values: 0.25 0.081284\n0.50 0.306390\n0.75 1.130750\nName: 4131, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3592039420993711, std values: 4.962179924820492, min values: 1.8949e-06, max values: 40.478, median values: 0.19059, and quantile values: 0.25 0.057145\n0.50 0.190590\n0.75 0.727940\nName: 4132, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.601712356409346, std values: 4.896206131378803, min values: 2.5486e-08, max values: 38.89, median values: 0.27124, and quantile values: 0.25 0.067597\n0.50 0.271240\n0.75 1.079500\nName: 4133, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3834099689927672, std values: 4.772181469047123, min values: 6.1405e-07, max values: 38.01, median values: 0.20315, and quantile values: 0.25 0.057779\n0.50 0.203150\n0.75 0.828835\nName: 4134, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4996656785333335, std values: 4.77799797152594, min values: 2.9743e-06, max values: 39.858, median values: 0.24521, and quantile values: 0.25 0.075069\n0.50 0.245210\n0.75 0.931695\nName: 4135, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4255964739059495, std values: 4.834413192331605, min values: 2.0846e-08, max values: 39.87, median values: 0.2322, and quantile values: 0.25 0.065647\n0.50 0.232200\n0.75 0.850925\nName: 4136, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.52295116423522, std values: 4.912640046987018, min values: 2.3768e-06, max values: 39.146, median values: 0.26116, and quantile values: 0.25 0.070186\n0.50 0.261160\n0.75 1.022750\nName: 4137, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.245066706957233, std values: 4.663383235259481, min values: 1.2825e-06, max values: 38.704, median values: 0.1457, and quantile values: 0.25 0.046069\n0.50 0.145700\n0.75 0.640355\nName: 4138, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.391350150985849, std values: 4.870739606348044, min values: 5.0785e-07, max values: 40.621, median values: 0.20724, and quantile values: 0.25 0.060777\n0.50 0.207240\n0.75 0.817830\nName: 4139, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4099459828704404, std values: 4.857192017974276, min values: 5.983e-07, max values: 38.881, median values: 0.18418, and quantile values: 0.25 0.056484\n0.50 0.184180\n0.75 0.838495\nName: 4140, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6161432915333962, std values: 5.001484039950723, min values: 5.1001e-07, max values: 40.435, median values: 0.24698, and quantile values: 0.25 0.058995\n0.50 0.246980\n0.75 1.052100\nName: 4141, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4659837913383647, std values: 5.148500685873872, min values: 2.4058e-06, max values: 42.301, median values: 0.21138, and quantile values: 0.25 0.059045\n0.50 0.211380\n0.75 0.874665\nName: 4142, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4978325527716352, std values: 5.000897490477643, min values: 6.9049e-07, max values: 41.713, median values: 0.23521, and quantile values: 0.25 0.065851\n0.50 0.235210\n0.75 0.876825\nName: 4143, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5695291740069182, std values: 5.141222998649967, min values: 2.2715e-06, max values: 43.139, median values: 0.261, and quantile values: 0.25 0.070342\n0.50 0.261000\n0.75 0.973850\nName: 4144, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1114189014166036, std values: 4.844426276520983, min values: 2.8395e-07, max values: 41.704, median values: 0.087062, and quantile values: 0.25 0.024122\n0.50 0.087062\n0.75 0.400815\nName: 4145, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.619007315754088, std values: 4.820696091555977, min values: 6.259e-07, max values: 38.845, median values: 0.2633, and quantile values: 0.25 0.069931\n0.50 0.263300\n0.75 1.138700\nName: 4146, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.586219069284906, std values: 5.127663790520713, min values: 1.3133e-06, max values: 43.153, median values: 0.2459, and quantile values: 0.25 0.076003\n0.50 0.245900\n0.75 1.033700\nName: 4147, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6534983360345912, std values: 5.3426822753888334, min values: 2.49e-06, max values: 45.675, median values: 0.25422, and quantile values: 0.25 0.068167\n0.50 0.254220\n0.75 1.066250\nName: 4148, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4156387397836476, std values: 4.838185294081355, min values: 2.4872e-06, max values: 39.601, median values: 0.20754, and quantile values: 0.25 0.062939\n0.50 0.207540\n0.75 0.798455\nName: 4149, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6976570274213838, std values: 5.39676415753885, min values: 1.9125e-06, max values: 46.418, median values: 0.27047, and quantile values: 0.25 0.067472\n0.50 0.270470\n0.75 1.128950\nName: 4150, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5241590503532705, std values: 5.035156169875103, min values: 8.2037e-07, max values: 42.021, median values: 0.23844, and quantile values: 0.25 0.062812\n0.50 0.238440\n0.75 0.969635\nName: 4151, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5065543448610064, std values: 5.020971692458455, min values: 3.5826e-06, max values: 40.078, median values: 0.22404, and quantile values: 0.25 0.061898\n0.50 0.224040\n0.75 0.881560\nName: 4152, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6897078167251571, std values: 5.414899924701068, min values: 2.2684e-06, max values: 47.381, median values: 0.26401, and quantile values: 0.25 0.076815\n0.50 0.264010\n0.75 1.127650\nName: 4153, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6557732993484275, std values: 5.001174894719825, min values: 2.4055e-06, max values: 39.193, median values: 0.28423, and quantile values: 0.25 0.079916\n0.50 0.284230\n0.75 1.143900\nName: 4154, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5421445261119497, std values: 4.991020227339573, min values: 4.2486e-06, max values: 40.773, median values: 0.25696, and quantile values: 0.25 0.076411\n0.50 0.256960\n0.75 0.899275\nName: 4155, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6615973207245283, std values: 4.888394309785861, min values: 1.7466e-06, max values: 39.232, median values: 0.26849, and quantile values: 0.25 0.085462\n0.50 0.268490\n0.75 1.184750\nName: 4156, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3694624285314465, std values: 4.8211224522652305, min values: 2.2653e-06, max values: 39.872, median values: 0.19726, and quantile values: 0.25 0.061623\n0.50 0.197260\n0.75 0.718570\nName: 4157, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.532653956391195, std values: 5.3277159957535325, min values: 3.3886e-06, max values: 44.906, median values: 0.20786, and quantile values: 0.25 0.059394\n0.50 0.207860\n0.75 0.815735\nName: 4158, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4519762069961637, std values: 4.893661181105643, min values: 9.1199e-07, max values: 40.22, median values: 0.21557, and quantile values: 0.25 0.064702\n0.50 0.215570\n0.75 0.879675\nName: 4159, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2387733162388679, std values: 4.690240807253105, min values: 4.7988e-07, max values: 37.803, median values: 0.17185, and quantile values: 0.25 0.048947\n0.50 0.171850\n0.75 0.640330\nName: 4160, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3520766859053461, std values: 4.597483563364162, min values: 7.9845e-07, max values: 38.393, median values: 0.23249, and quantile values: 0.25 0.056831\n0.50 0.232490\n0.75 0.798485\nName: 4161, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3508940668830187, std values: 4.813249345460565, min values: 2.4929e-06, max values: 40.277, median values: 0.19553, and quantile values: 0.25 0.054658\n0.50 0.195530\n0.75 0.745745\nName: 4162, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.606510961927044, std values: 5.008146093273922, min values: 1.8449e-06, max values: 40.217, median values: 0.25659, and quantile values: 0.25 0.069994\n0.50 0.256590\n0.75 1.045745\nName: 4163, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6492622766358491, std values: 5.340059025763815, min values: 2.5977e-06, max values: 45.321, median values: 0.27084, and quantile values: 0.25 0.074274\n0.50 0.270840\n0.75 1.118250\nName: 4164, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4814011399006288, std values: 4.9112764033493885, min values: 1.9419e-06, max values: 38.901, median values: 0.25157, and quantile values: 0.25 0.06525\n0.50 0.25157\n0.75 0.96072\nName: 4165, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.320999678122327, std values: 4.678635438762473, min values: 3.2555e-07, max values: 37.372, median values: 0.19159, and quantile values: 0.25 0.053467\n0.50 0.191590\n0.75 0.782385\nName: 4166, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3619439995977358, std values: 5.002111242631081, min values: 9.6774e-07, max values: 42.204, median values: 0.17633, and quantile values: 0.25 0.054118\n0.50 0.176330\n0.75 0.694875\nName: 4167, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5808676469578617, std values: 5.004071397975475, min values: 1.5839e-06, max values: 39.531, median values: 0.22636, and quantile values: 0.25 0.07303\n0.50 0.22636\n0.75 0.98551\nName: 4168, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5739017941421383, std values: 4.926917587086955, min values: 1.1949e-06, max values: 38.83, median values: 0.22432, and quantile values: 0.25 0.06305\n0.50 0.22432\n0.75 1.05920\nName: 4169, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3088567418862262, std values: 4.773533535346394, min values: 1.6931e-07, max values: 39.73, median values: 0.15523, and quantile values: 0.25 0.044585\n0.50 0.155230\n0.75 0.690705\nName: 4170, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3665300706294339, std values: 5.093614211923102, min values: 5.9628e-07, max values: 44.273, median values: 0.17133, and quantile values: 0.25 0.050652\n0.50 0.171330\n0.75 0.725275\nName: 4171, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.449668953196981, std values: 4.77917647234781, min values: 7.6562e-07, max values: 37.606, median values: 0.21324, and quantile values: 0.25 0.060943\n0.50 0.213240\n0.75 0.887025\nName: 4172, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.563241356188679, std values: 4.972029488787815, min values: 2.371e-06, max values: 39.44, median values: 0.24778, and quantile values: 0.25 0.065947\n0.50 0.247780\n0.75 1.051700\nName: 4173, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.46341840886478, std values: 4.984729622722125, min values: 3.5095e-06, max values: 40.305, median values: 0.21533, and quantile values: 0.25 0.062096\n0.50 0.215330\n0.75 0.818050\nName: 4174, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2869918651842767, std values: 4.940182212380737, min values: 1.0339e-06, max values: 40.758, median values: 0.17115, and quantile values: 0.25 0.047044\n0.50 0.171150\n0.75 0.712310\nName: 4175, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4432570735295598, std values: 4.980855292221634, min values: 1.2586e-06, max values: 41.248, median values: 0.21803, and quantile values: 0.25 0.06018\n0.50 0.21803\n0.75 0.80647\nName: 4176, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3376694698979246, std values: 4.751088591568974, min values: 1.4759e-07, max values: 38.538, median values: 0.17363, and quantile values: 0.25 0.048765\n0.50 0.173630\n0.75 0.775790\nName: 4177, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6831789300761006, std values: 5.040496013732962, min values: 1.3608e-06, max values: 40.251, median values: 0.28554, and quantile values: 0.25 0.082063\n0.50 0.285540\n0.75 1.116250\nName: 4178, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.570165346799371, std values: 5.010743917931952, min values: 1.6484e-06, max values: 40.225, median values: 0.23456, and quantile values: 0.25 0.07401\n0.50 0.23456\n0.75 0.98770\nName: 4179, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6628075207979245, std values: 4.9502225374429, min values: 9.7927e-07, max values: 38.666, median values: 0.26823, and quantile values: 0.25 0.078962\n0.50 0.268230\n0.75 1.166500\nName: 4180, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.594830239746541, std values: 4.971520154227683, min values: 3.7013e-06, max values: 40.627, median values: 0.25282, and quantile values: 0.25 0.07117\n0.50 0.25282\n0.75 0.97025\nName: 4181, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5313030475201257, std values: 4.938889156757825, min values: 1.2329e-06, max values: 39.323, median values: 0.25419, and quantile values: 0.25 0.069340\n0.50 0.254190\n0.75 0.947195\nName: 4182, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5902153264955974, std values: 5.189479654458451, min values: 3.1264e-06, max values: 43.05, median values: 0.25834, and quantile values: 0.25 0.083488\n0.50 0.258340\n0.75 1.000900\nName: 4183, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.320454473371761, std values: 4.545173039116582, min values: 5.2011e-07, max values: 37.353, median values: 0.16766, and quantile values: 0.25 0.054325\n0.50 0.167660\n0.75 0.779620\nName: 4184, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.512121767716918, std values: 5.12155526147389, min values: 2.7339e-07, max values: 44.131, median values: 0.21294, and quantile values: 0.25 0.058217\n0.50 0.212940\n0.75 0.962230\nName: 4185, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4189210810930817, std values: 4.779699590761527, min values: 4.1303e-06, max values: 39.949, median values: 0.22188, and quantile values: 0.25 0.06556\n0.50 0.22188\n0.75 0.82111\nName: 4186, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.438897225961497, std values: 4.991574801250096, min values: 1.5918e-08, max values: 42.49, median values: 0.18852, and quantile values: 0.25 0.054957\n0.50 0.188520\n0.75 0.790495\nName: 4187, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6754687636289312, std values: 5.021830507534307, min values: 2.7589e-06, max values: 39.769, median values: 0.31588, and quantile values: 0.25 0.074921\n0.50 0.315880\n0.75 1.080800\nName: 4188, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4864439645974845, std values: 4.7221459585545, min values: 1.0357e-06, max values: 38.29, median values: 0.21325, and quantile values: 0.25 0.060040\n0.50 0.213250\n0.75 0.963435\nName: 4189, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4259558009884274, std values: 4.98798030932444, min values: 6.7166e-07, max values: 43.118, median values: 0.21469, and quantile values: 0.25 0.061687\n0.50 0.214690\n0.75 0.810215\nName: 4190, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4688530619433962, std values: 4.812719349764255, min values: 2.1299e-06, max values: 39.394, median values: 0.22279, and quantile values: 0.25 0.070417\n0.50 0.222790\n0.75 0.925430\nName: 4191, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3938253403733334, std values: 4.7813489631614745, min values: 9.3206e-07, max values: 38.462, median values: 0.20778, and quantile values: 0.25 0.068536\n0.50 0.207780\n0.75 0.788635\nName: 4192, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.376537429935107, std values: 4.933572347098663, min values: 1.9198e-08, max values: 42.754, median values: 0.16844, and quantile values: 0.25 0.034139\n0.50 0.168440\n0.75 0.713095\nName: 4193, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4030859495950314, std values: 4.732208857341206, min values: 7.7501e-07, max values: 37.718, median values: 0.2128, and quantile values: 0.25 0.060394\n0.50 0.212800\n0.75 0.859260\nName: 4194, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3786844013205661, std values: 4.953164891485713, min values: 1.0674e-07, max values: 42.504, median values: 0.20003, and quantile values: 0.25 0.044577\n0.50 0.200030\n0.75 0.714915\nName: 4195, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5171078890216354, std values: 4.801716252742324, min values: 4.3724e-07, max values: 37.988, median values: 0.2319, and quantile values: 0.25 0.065954\n0.50 0.231900\n0.75 0.934380\nName: 4196, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3511612817075473, std values: 4.794495739373769, min values: 2.8755e-06, max values: 38.999, median values: 0.19989, and quantile values: 0.25 0.065650\n0.50 0.199890\n0.75 0.752735\nName: 4197, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5257248922315723, std values: 4.948564012568736, min values: 2.9932e-07, max values: 41.151, median values: 0.21014, and quantile values: 0.25 0.051050\n0.50 0.210140\n0.75 0.913655\nName: 4198, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4959488435574466, std values: 4.856887649708156, min values: 1.8234e-08, max values: 38.738, median values: 0.21468, and quantile values: 0.25 0.051164\n0.50 0.214680\n0.75 0.967450\nName: 4199, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6762627413578615, std values: 5.111472928584033, min values: 1.5607e-06, max values: 41.658, median values: 0.29035, and quantile values: 0.25 0.078221\n0.50 0.290350\n0.75 1.135650\nName: 4200, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5191634558704403, std values: 4.950725325782872, min values: 2.8038e-06, max values: 39.942, median values: 0.21656, and quantile values: 0.25 0.070490\n0.50 0.216560\n0.75 0.919735\nName: 4201, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4196411272640252, std values: 4.75781407363478, min values: 4.3418e-07, max values: 38.289, median values: 0.18341, and quantile values: 0.25 0.058816\n0.50 0.183410\n0.75 0.842420\nName: 4202, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6371765369313207, std values: 5.181046318960891, min values: 2.9203e-07, max values: 45.4, median values: 0.25028, and quantile values: 0.25 0.058311\n0.50 0.250280\n0.75 1.002760\nName: 4203, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4636968951037737, std values: 4.902856909578015, min values: 1.5699e-06, max values: 39.305, median values: 0.22338, and quantile values: 0.25 0.06104\n0.50 0.22338\n0.75 0.89806\nName: 4204, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.360239183770566, std values: 4.75861913200906, min values: 1.6612e-07, max values: 38.026, median values: 0.17171, and quantile values: 0.25 0.046329\n0.50 0.171710\n0.75 0.811120\nName: 4205, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5191457613396226, std values: 4.935169602968603, min values: 1.6841e-06, max values: 39.288, median values: 0.24583, and quantile values: 0.25 0.074451\n0.50 0.245830\n0.75 0.939855\nName: 4206, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7004075896540882, std values: 5.19033777041508, min values: 6.3486e-06, max values: 41.015, median values: 0.27397, and quantile values: 0.25 0.072932\n0.50 0.273970\n0.75 1.022425\nName: 4207, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5911966793730816, std values: 5.158138986061639, min values: 5.3412e-07, max values: 44.555, median values: 0.22717, and quantile values: 0.25 0.062406\n0.50 0.227170\n0.75 0.960335\nName: 4208, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5302366836345913, std values: 4.98897511413282, min values: 1.1698e-06, max values: 40.263, median values: 0.22254, and quantile values: 0.25 0.061844\n0.50 0.222540\n0.75 0.911380\nName: 4209, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.423906015627044, std values: 4.687722674707194, min values: 1.8649e-06, max values: 39.581, median values: 0.19868, and quantile values: 0.25 0.061164\n0.50 0.198680\n0.75 0.869720\nName: 4210, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.621120504522012, std values: 5.044620976879991, min values: 1.7859e-06, max values: 40.246, median values: 0.26827, and quantile values: 0.25 0.078611\n0.50 0.268270\n0.75 1.055650\nName: 4211, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.367329024116101, std values: 4.788545114758875, min values: 3.8286e-07, max values: 39.119, median values: 0.19935, and quantile values: 0.25 0.055945\n0.50 0.199350\n0.75 0.761495\nName: 4212, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6832434259855975, std values: 5.255447776961372, min values: 6.3841e-07, max values: 44.727, median values: 0.26379, and quantile values: 0.25 0.067978\n0.50 0.263790\n0.75 1.123000\nName: 4213, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4383001460911948, std values: 4.8274297458142605, min values: 4.6938e-06, max values: 40.802, median values: 0.23181, and quantile values: 0.25 0.074012\n0.50 0.231810\n0.75 0.771335\nName: 4214, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4195657362220127, std values: 4.854454435912277, min values: 1.4955e-06, max values: 38.852, median values: 0.19841, and quantile values: 0.25 0.066073\n0.50 0.198410\n0.75 0.818675\nName: 4215, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5053172165754718, std values: 5.0081244400170695, min values: 3.7408e-06, max values: 40.175, median values: 0.23696, and quantile values: 0.25 0.072755\n0.50 0.236960\n0.75 0.832775\nName: 4216, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5282955204452828, std values: 5.105877388510497, min values: 5.396e-07, max values: 43.166, median values: 0.23162, and quantile values: 0.25 0.060957\n0.50 0.231620\n0.75 0.884895\nName: 4217, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.350578911666981, std values: 4.617732759607039, min values: 3.2365e-07, max values: 38.035, median values: 0.21763, and quantile values: 0.25 0.055446\n0.50 0.217630\n0.75 0.822335\nName: 4218, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5264472254534591, std values: 4.779993427697037, min values: 2.5239e-06, max values: 38.866, median values: 0.24067, and quantile values: 0.25 0.076350\n0.50 0.240670\n0.75 0.959605\nName: 4219, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4522107266591195, std values: 4.817684829909212, min values: 8.37e-07, max values: 38.624, median values: 0.22556, and quantile values: 0.25 0.060321\n0.50 0.225560\n0.75 0.902075\nName: 4220, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6013041984088048, std values: 5.062048249675473, min values: 2.7875e-06, max values: 39.748, median values: 0.24768, and quantile values: 0.25 0.062544\n0.50 0.247680\n0.75 1.060000\nName: 4221, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5913283637144655, std values: 5.039301654174229, min values: 1.3615e-06, max values: 40.338, median values: 0.26214, and quantile values: 0.25 0.069269\n0.50 0.262140\n0.75 0.967825\nName: 4222, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5380085024993713, std values: 4.972060096589383, min values: 1.3153e-06, max values: 40.113, median values: 0.20973, and quantile values: 0.25 0.060189\n0.50 0.209730\n0.75 1.006795\nName: 4223, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3187868592037735, std values: 4.744796031630892, min values: 3.3532e-06, max values: 40.108, median values: 0.18247, and quantile values: 0.25 0.061337\n0.50 0.182470\n0.75 0.615335\nName: 4224, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4887307778433965, std values: 5.059098434111821, min values: 1.317e-06, max values: 42.336, median values: 0.25477, and quantile values: 0.25 0.063082\n0.50 0.254770\n0.75 0.824475\nName: 4225, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4891856721777987, std values: 4.812422705842637, min values: 6.1817e-07, max values: 38.06, median values: 0.2418, and quantile values: 0.25 0.063923\n0.50 0.241800\n0.75 0.956530\nName: 4226, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.322140145393962, std values: 4.718241437641394, min values: 4.6134e-07, max values: 37.743, median values: 0.1843, and quantile values: 0.25 0.051763\n0.50 0.184300\n0.75 0.689235\nName: 4227, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3404326619534588, std values: 4.615248131491877, min values: 2.833e-07, max values: 37.605, median values: 0.18979, and quantile values: 0.25 0.056033\n0.50 0.189790\n0.75 0.817955\nName: 4228, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4394858852742767, std values: 4.815744541655953, min values: 5.0781e-07, max values: 38.267, median values: 0.2002, and quantile values: 0.25 0.050322\n0.50 0.200200\n0.75 0.901140\nName: 4229, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3972875582026416, std values: 5.057987434398822, min values: 7.1362e-07, max values: 43.135, median values: 0.20189, and quantile values: 0.25 0.057902\n0.50 0.201890\n0.75 0.749720\nName: 4230, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.364691064899371, std values: 4.539120171209222, min values: 6.023e-07, max values: 37.885, median values: 0.18786, and quantile values: 0.25 0.050131\n0.50 0.187860\n0.75 0.793145\nName: 4231, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4430215038990568, std values: 4.9954673529417155, min values: 9.6595e-07, max values: 42.49, median values: 0.1903, and quantile values: 0.25 0.051427\n0.50 0.190300\n0.75 0.874265\nName: 4232, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6667867184471696, std values: 5.085866836369623, min values: 3.1819e-06, max values: 39.785, median values: 0.26815, and quantile values: 0.25 0.076435\n0.50 0.268150\n0.75 1.050550\nName: 4233, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5590024817433965, std values: 5.0981016967956005, min values: 1.14e-06, max values: 42.885, median values: 0.24182, and quantile values: 0.25 0.059287\n0.50 0.241820\n0.75 0.969220\nName: 4234, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2694448221198744, std values: 4.783762491288552, min values: 2.5274e-07, max values: 39.711, median values: 0.1344, and quantile values: 0.25 0.041349\n0.50 0.134400\n0.75 0.649005\nName: 4235, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4652452888022014, std values: 4.785995755498752, min values: 2.1235e-07, max values: 37.991, median values: 0.21296, and quantile values: 0.25 0.062228\n0.50 0.212960\n0.75 0.873110\nName: 4236, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1837924337458492, std values: 4.687346037284632, min values: 5.8279e-07, max values: 37.718, median values: 0.13383, and quantile values: 0.25 0.042155\n0.50 0.133830\n0.75 0.585925\nName: 4237, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3694809816352203, std values: 4.919603457469803, min values: 1.445e-06, max values: 39.794, median values: 0.18507, and quantile values: 0.25 0.052978\n0.50 0.185070\n0.75 0.749080\nName: 4238, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3196629259830188, std values: 4.872353535359701, min values: 3.0012e-06, max values: 40.754, median values: 0.17345, and quantile values: 0.25 0.054101\n0.50 0.173450\n0.75 0.613225\nName: 4239, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6141493166037735, std values: 5.275810254217626, min values: 3.2499e-06, max values: 44.208, median values: 0.22569, and quantile values: 0.25 0.074445\n0.50 0.225690\n0.75 0.938905\nName: 4240, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4791337898172328, std values: 4.943620818562464, min values: 4.9584e-07, max values: 41.464, median values: 0.22567, and quantile values: 0.25 0.064303\n0.50 0.225670\n0.75 0.898635\nName: 4241, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6837012248955974, std values: 4.982471475568815, min values: 2.9875e-06, max values: 39.699, median values: 0.27284, and quantile values: 0.25 0.088117\n0.50 0.272840\n0.75 1.136750\nName: 4242, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6396437446465413, std values: 5.334369221917293, min values: 3.8811e-06, max values: 44.422, median values: 0.27521, and quantile values: 0.25 0.066567\n0.50 0.275210\n0.75 1.013370\nName: 4243, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.286070314072956, std values: 4.5116790057390705, min values: 0.0, max values: 38.568, median values: 0.20997, and quantile values: 0.25 0.056383\n0.50 0.209970\n0.75 0.713830\nName: 4244, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3810786138584275, std values: 4.769838878144344, min values: 1.5882e-07, max values: 38.662, median values: 0.13961, and quantile values: 0.25 0.036199\n0.50 0.139610\n0.75 0.748510\nName: 4245, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4357662253394967, std values: 4.829710989671068, min values: 4.0408e-07, max values: 39.138, median values: 0.21181, and quantile values: 0.25 0.056968\n0.50 0.211810\n0.75 0.879350\nName: 4246, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5146835956280629, std values: 4.6384961549275285, min values: 6.1262e-08, max values: 37.649, median values: 0.20696, and quantile values: 0.25 0.053095\n0.50 0.206960\n0.75 1.034000\nName: 4247, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4038035838545282, std values: 4.89021226570491, min values: 5.7267e-07, max values: 40.067, median values: 0.19155, and quantile values: 0.25 0.05044\n0.50 0.19155\n0.75 0.75620\nName: 4248, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.508089407918239, std values: 4.950499502756304, min values: 1.9306e-06, max values: 39.425, median values: 0.24264, and quantile values: 0.25 0.063841\n0.50 0.242640\n0.75 0.950760\nName: 4249, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5475919423201383, std values: 4.993006069268659, min values: 2.2013e-08, max values: 42.874, median values: 0.21946, and quantile values: 0.25 0.048273\n0.50 0.219460\n0.75 0.906560\nName: 4250, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.492392211970755, std values: 5.09331658580791, min values: 9.1705e-07, max values: 43.529, median values: 0.20679, and quantile values: 0.25 0.067489\n0.50 0.206790\n0.75 0.853740\nName: 4251, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.487654154691195, std values: 4.952355283377938, min values: 3.8905e-06, max values: 39.98, median values: 0.20823, and quantile values: 0.25 0.065977\n0.50 0.208230\n0.75 0.845515\nName: 4252, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6604806119874218, std values: 5.145718100230216, min values: 1.5771e-06, max values: 42.386, median values: 0.26573, and quantile values: 0.25 0.079572\n0.50 0.265730\n0.75 1.079400\nName: 4253, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3356137975553461, std values: 4.747319026239166, min values: 1.3292e-06, max values: 38.686, median values: 0.1917, and quantile values: 0.25 0.054995\n0.50 0.191700\n0.75 0.775175\nName: 4254, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3399429760930817, std values: 4.466987806848356, min values: 1.8596e-06, max values: 38.116, median values: 0.19217, and quantile values: 0.25 0.059376\n0.50 0.192170\n0.75 0.815415\nName: 4255, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4081641410106915, std values: 4.579094807659297, min values: 2.5366e-06, max values: 38.63, median values: 0.22153, and quantile values: 0.25 0.066504\n0.50 0.221530\n0.75 0.906215\nName: 4256, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1493040589802515, std values: 4.505051041330158, min values: 1.4735e-07, max values: 36.818, median values: 0.12404, and quantile values: 0.25 0.03785\n0.50 0.12404\n0.75 0.55940\nName: 4257, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4439798000012578, std values: 4.907644026974957, min values: 1.3244e-07, max values: 41.731, median values: 0.18338, and quantile values: 0.25 0.042499\n0.50 0.183380\n0.75 0.749025\nName: 4258, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.50477034171478, std values: 4.723516802100023, min values: 2.0095e-07, max values: 37.484, median values: 0.178, and quantile values: 0.25 0.058665\n0.50 0.178000\n0.75 0.925265\nName: 4259, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5032685000861636, std values: 4.868751367170256, min values: 4.0332e-06, max values: 40.478, median values: 0.24168, and quantile values: 0.25 0.071676\n0.50 0.241680\n0.75 0.910655\nName: 4260, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6511471692138364, std values: 5.031940459747982, min values: 1.7179e-06, max values: 39.632, median values: 0.24733, and quantile values: 0.25 0.069632\n0.50 0.247330\n0.75 1.108950\nName: 4261, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4860049615245912, std values: 4.818310404972929, min values: 2.799e-08, max values: 39.326, median values: 0.20322, and quantile values: 0.25 0.053214\n0.50 0.203220\n0.75 0.907615\nName: 4262, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7234673587402514, std values: 5.314986540859246, min values: 3.8686e-06, max values: 43.317, median values: 0.27554, and quantile values: 0.25 0.08808\n0.50 0.27554\n0.75 1.09145\nName: 4263, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5154832781937106, std values: 4.927257639423768, min values: 2.4219e-06, max values: 39.729, median values: 0.23041, and quantile values: 0.25 0.073651\n0.50 0.230410\n0.75 0.931165\nName: 4264, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3016730628496858, std values: 4.6094522581492745, min values: 7.855e-07, max values: 38.191, median values: 0.20598, and quantile values: 0.25 0.057136\n0.50 0.205980\n0.75 0.712735\nName: 4265, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5723560969150943, std values: 5.046318302919867, min values: 5.4992e-06, max values: 41.226, median values: 0.25529, and quantile values: 0.25 0.07403\n0.50 0.25529\n0.75 0.91495\nName: 4266, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6463835692516224, std values: 5.630360786252321, min values: 1.1538e-08, max values: 53.401, median values: 0.18587, and quantile values: 0.25 0.049356\n0.50 0.185870\n0.75 0.948365\nName: 4267, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5639944821371068, std values: 4.982559342637286, min values: 2.0898e-06, max values: 39.609, median values: 0.26174, and quantile values: 0.25 0.065828\n0.50 0.261740\n0.75 1.040700\nName: 4268, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4868603902427044, std values: 4.725707108839024, min values: 4.6379e-07, max values: 37.465, median values: 0.2524, and quantile values: 0.25 0.065188\n0.50 0.252400\n0.75 0.929380\nName: 4269, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7490581832264154, std values: 5.2761895545810695, min values: 1.6035e-06, max values: 44.435, median values: 0.29068, and quantile values: 0.25 0.081755\n0.50 0.290680\n0.75 1.195900\nName: 4270, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5818972414, std values: 5.124036649668244, min values: 2.9272e-06, max values: 41.579, median values: 0.28108, and quantile values: 0.25 0.074770\n0.50 0.281080\n0.75 0.932295\nName: 4271, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5445689611750315, std values: 4.843566958441418, min values: 9.7043e-07, max values: 38.154, median values: 0.26137, and quantile values: 0.25 0.070614\n0.50 0.261370\n0.75 1.020150\nName: 4272, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8013351922301883, std values: 5.26432774528572, min values: 6.1396e-06, max values: 41.061, median values: 0.31016, and quantile values: 0.25 0.091862\n0.50 0.310160\n0.75 1.191600\nName: 4273, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3002380164591196, std values: 4.988397241681049, min values: 2.8414e-06, max values: 40.612, median values: 0.17228, and quantile values: 0.25 0.052707\n0.50 0.172280\n0.75 0.583420\nName: 4274, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4856429892025156, std values: 4.858970639730296, min values: 2.1966e-06, max values: 38.483, median values: 0.21391, and quantile values: 0.25 0.074129\n0.50 0.213910\n0.75 0.905250\nName: 4275, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3953735780113836, std values: 4.713495924461282, min values: 3.4711e-07, max values: 37.795, median values: 0.17818, and quantile values: 0.25 0.050213\n0.50 0.178180\n0.75 0.832415\nName: 4276, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7345478035138364, std values: 5.283938389070304, min values: 1.9999e-06, max values: 43.703, median values: 0.28666, and quantile values: 0.25 0.077206\n0.50 0.286660\n0.75 1.141550\nName: 4277, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6941506601719496, std values: 5.050444187176395, min values: 8.5644e-07, max values: 40.385, median values: 0.30226, and quantile values: 0.25 0.066912\n0.50 0.302260\n0.75 1.206400\nName: 4278, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5411925602509433, std values: 4.968632735241573, min values: 7.045e-07, max values: 40.883, median values: 0.19129, and quantile values: 0.25 0.05811\n0.50 0.19129\n0.75 0.88490\nName: 4279, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.440005173089849, std values: 4.847362721847884, min values: 3.6466e-08, max values: 39.924, median values: 0.16817, and quantile values: 0.25 0.040229\n0.50 0.168170\n0.75 0.789175\nName: 4280, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4603534966155345, std values: 4.849991144283625, min values: 5.9987e-07, max values: 39.409, median values: 0.23415, and quantile values: 0.25 0.058614\n0.50 0.234150\n0.75 0.875550\nName: 4281, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6515195591037737, std values: 5.099984628457224, min values: 8.539e-07, max values: 42.129, median values: 0.28053, and quantile values: 0.25 0.071372\n0.50 0.280530\n0.75 1.081350\nName: 4282, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5779407529899372, std values: 4.9280441326752396, min values: 1.8736e-06, max values: 38.852, median values: 0.25144, and quantile values: 0.25 0.068957\n0.50 0.251440\n0.75 1.018290\nName: 4283, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.663947539451201, std values: 5.083323992393366, min values: 4.4061e-08, max values: 42.464, median values: 0.25643, and quantile values: 0.25 0.064455\n0.50 0.256430\n0.75 1.190250\nName: 4284, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.533528097756604, std values: 4.990843871074666, min values: 3.2294e-06, max values: 39.308, median values: 0.24306, and quantile values: 0.25 0.074474\n0.50 0.243060\n0.75 0.898725\nName: 4285, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6814679461949686, std values: 5.318444766533185, min values: 2.1027e-06, max values: 45.48, median values: 0.27668, and quantile values: 0.25 0.072838\n0.50 0.276680\n0.75 1.092400\nName: 4286, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6584506768591194, std values: 5.194124705791999, min values: 3.0339e-06, max values: 42.302, median values: 0.26854, and quantile values: 0.25 0.077196\n0.50 0.268540\n0.75 1.044900\nName: 4287, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4049654543523902, std values: 5.035515436311478, min values: 3.9113e-07, max values: 42.471, median values: 0.19306, and quantile values: 0.25 0.053857\n0.50 0.193060\n0.75 0.726190\nName: 4288, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8332774345805034, std values: 5.208322526918396, min values: 2.9162e-06, max values: 41.232, median values: 0.32646, and quantile values: 0.25 0.095088\n0.50 0.326460\n0.75 1.267250\nName: 4289, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4349818927023898, std values: 5.026839859588118, min values: 6.61e-08, max values: 43.736, median values: 0.18736, and quantile values: 0.25 0.048865\n0.50 0.187360\n0.75 0.833940\nName: 4290, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.461881103262264, std values: 4.957008992755193, min values: 1.2038e-06, max values: 40.554, median values: 0.25007, and quantile values: 0.25 0.058612\n0.50 0.250070\n0.75 0.845455\nName: 4291, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6726614740641508, std values: 5.1490523310855245, min values: 1.8035e-06, max values: 41.369, median values: 0.25517, and quantile values: 0.25 0.071549\n0.50 0.255170\n0.75 1.143600\nName: 4292, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.621176390190566, std values: 4.880117029940451, min values: 3.0689e-06, max values: 38.922, median values: 0.25607, and quantile values: 0.25 0.076226\n0.50 0.256070\n0.75 1.049050\nName: 4293, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4552889259421382, std values: 4.708114534368906, min values: 1.4885e-06, max values: 38.757, median values: 0.21146, and quantile values: 0.25 0.065533\n0.50 0.211460\n0.75 0.907710\nName: 4294, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4281622354001886, std values: 4.895496711776308, min values: 5.5913e-07, max values: 39.887, median values: 0.22011, and quantile values: 0.25 0.06767\n0.50 0.22011\n0.75 0.85646\nName: 4295, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5024650542194087, std values: 4.8397541022085075, min values: 2.4586e-08, max values: 38.929, median values: 0.21661, and quantile values: 0.25 0.059609\n0.50 0.216610\n0.75 0.994475\nName: 4296, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.3691983768245284, std values: 6.5552740978974775, min values: 5.3421e-06, max values: 59.766, median values: 0.42125, and quantile values: 0.25 0.112945\n0.50 0.421250\n0.75 1.684500\nName: 4297, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.517691841563522, std values: 5.09588954946706, min values: 1.2715e-06, max values: 43.077, median values: 0.26294, and quantile values: 0.25 0.061509\n0.50 0.262940\n0.75 0.929390\nName: 4298, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.430157961731887, std values: 4.842430156063856, min values: 6.1867e-07, max values: 39.295, median values: 0.16936, and quantile values: 0.25 0.050876\n0.50 0.169360\n0.75 0.812010\nName: 4299, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5307324536685534, std values: 4.916968262617469, min values: 1.7266e-06, max values: 38.765, median values: 0.23891, and quantile values: 0.25 0.069695\n0.50 0.238910\n0.75 0.941635\nName: 4300, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2691247332591196, std values: 4.559373303706034, min values: 7.068e-07, max values: 37.825, median values: 0.17707, and quantile values: 0.25 0.049867\n0.50 0.177070\n0.75 0.690100\nName: 4301, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3864088480145471, std values: 4.903006733781813, min values: 2.8693e-08, max values: 41.585, median values: 0.21243, and quantile values: 0.25 0.048692\n0.50 0.212430\n0.75 0.754015\nName: 4302, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4882746141358492, std values: 5.135166812311242, min values: 2.4111e-06, max values: 42.808, median values: 0.2433, and quantile values: 0.25 0.064773\n0.50 0.243300\n0.75 0.852895\nName: 4303, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4403904812509434, std values: 4.9388959986118275, min values: 1.7033e-06, max values: 40.145, median values: 0.24777, and quantile values: 0.25 0.059513\n0.50 0.247770\n0.75 0.864080\nName: 4304, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4724336483773586, std values: 4.985943653578846, min values: 2.516e-06, max values: 40.189, median values: 0.21189, and quantile values: 0.25 0.063453\n0.50 0.211890\n0.75 0.855860\nName: 4305, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4546734347591197, std values: 5.198326808224552, min values: 2.9539e-06, max values: 43.165, median values: 0.2155, and quantile values: 0.25 0.062285\n0.50 0.215500\n0.75 0.746760\nName: 4306, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5055888843062892, std values: 4.845795204189343, min values: 2.9441e-06, max values: 39.015, median values: 0.27159, and quantile values: 0.25 0.075882\n0.50 0.271590\n0.75 0.990595\nName: 4307, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7617029794138366, std values: 5.316380939261071, min values: 3.8173e-06, max values: 43.087, median values: 0.30439, and quantile values: 0.25 0.077067\n0.50 0.304390\n0.75 1.149050\nName: 4308, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4262108647577987, std values: 4.614478340862712, min values: 2.4335e-08, max values: 36.053, median values: 0.20694, and quantile values: 0.25 0.046649\n0.50 0.206940\n0.75 0.879095\nName: 4309, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.80187053761761, std values: 5.177259604646809, min values: 4.6941e-06, max values: 40.663, median values: 0.30125, and quantile values: 0.25 0.085229\n0.50 0.301250\n0.75 1.271250\nName: 4310, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4316164903177988, std values: 4.811254574289431, min values: 8.5313e-07, max values: 38.43, median values: 0.21721, and quantile values: 0.25 0.061242\n0.50 0.217210\n0.75 0.821150\nName: 4311, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3932524000106918, std values: 4.903958857706574, min values: 1.726e-06, max values: 39.772, median values: 0.19678, and quantile values: 0.25 0.065982\n0.50 0.196780\n0.75 0.788320\nName: 4312, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3656281354812578, std values: 4.955374755056579, min values: 4.9022e-07, max values: 42.166, median values: 0.17783, and quantile values: 0.25 0.045327\n0.50 0.177830\n0.75 0.716490\nName: 4313, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8746053617433964, std values: 5.551454264085967, min values: 7.0982e-06, max values: 44.863, median values: 0.34336, and quantile values: 0.25 0.091813\n0.50 0.343360\n0.75 1.157350\nName: 4314, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2518411032559118, std values: 4.707973053276887, min values: 2.1703e-07, max values: 38.446, median values: 0.15539, and quantile values: 0.25 0.042465\n0.50 0.155390\n0.75 0.643990\nName: 4315, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.442811456048805, std values: 4.8483041530278, min values: 8.0016e-07, max values: 39.279, median values: 0.20648, and quantile values: 0.25 0.058217\n0.50 0.206480\n0.75 0.877980\nName: 4316, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4479220161528301, std values: 5.045842328650473, min values: 2.2155e-06, max values: 40.318, median values: 0.1866, and quantile values: 0.25 0.057687\n0.50 0.186600\n0.75 0.799370\nName: 4317, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5163546029371069, std values: 5.005756599411773, min values: 2.2211e-06, max values: 40.367, median values: 0.23482, and quantile values: 0.25 0.074229\n0.50 0.234820\n0.75 0.925945\nName: 4318, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5270075293120127, std values: 5.1832794515823055, min values: 9.1241e-07, max values: 45.218, median values: 0.222, and quantile values: 0.25 0.057547\n0.50 0.222000\n0.75 0.923290\nName: 4319, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.829486619320503, std values: 5.468906924767577, min values: 1.5206e-07, max values: 48.138, median values: 0.26762, and quantile values: 0.25 0.070106\n0.50 0.267620\n0.75 1.304400\nName: 4320, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7500589619861635, std values: 5.3042916158149005, min values: 4.7284e-06, max values: 42.769, median values: 0.2916, and quantile values: 0.25 0.087238\n0.50 0.291600\n0.75 1.153450\nName: 4321, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2886864057943395, std values: 4.9609095465783986, min values: 1.3156e-06, max values: 41.595, median values: 0.16418, and quantile values: 0.25 0.049653\n0.50 0.164180\n0.75 0.669300\nName: 4322, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4514374432797486, std values: 4.767985022175272, min values: 1.3719e-07, max values: 38.487, median values: 0.21482, and quantile values: 0.25 0.052423\n0.50 0.214820\n0.75 0.843680\nName: 4323, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2995127601125156, std values: 4.627179908714733, min values: 9.2149e-07, max values: 38.764, median values: 0.15121, and quantile values: 0.25 0.050322\n0.50 0.151210\n0.75 0.739140\nName: 4324, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4680323518283018, std values: 5.08530475946698, min values: 2.3017e-06, max values: 41.649, median values: 0.23503, and quantile values: 0.25 0.05825\n0.50 0.23503\n0.75 0.88237\nName: 4325, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.437165494818868, std values: 4.888185268111275, min values: 2.211e-06, max values: 39.856, median values: 0.22026, and quantile values: 0.25 0.065507\n0.50 0.220260\n0.75 0.806035\nName: 4326, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5259035195473585, std values: 5.1121578205080125, min values: 8.7323e-07, max values: 43.407, median values: 0.22326, and quantile values: 0.25 0.058048\n0.50 0.223260\n0.75 1.002585\nName: 4327, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4615105297137863, std values: 4.861307422276648, min values: 2.4142e-08, max values: 40.127, median values: 0.22751, and quantile values: 0.25 0.050756\n0.50 0.227510\n0.75 0.870420\nName: 4328, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.414214765420692, std values: 4.624327116534635, min values: 1.1095e-07, max values: 36.502, median values: 0.20968, and quantile values: 0.25 0.051070\n0.50 0.209680\n0.75 0.793765\nName: 4329, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.765432121969308, std values: 5.354290313236558, min values: 5.2012e-07, max values: 46.292, median values: 0.26386, and quantile values: 0.25 0.069554\n0.50 0.263860\n0.75 1.234800\nName: 4330, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4834130475691822, std values: 5.014324046887059, min values: 1.5912e-06, max values: 40.405, median values: 0.20927, and quantile values: 0.25 0.059756\n0.50 0.209270\n0.75 0.902940\nName: 4331, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4351436505515094, std values: 4.808982151457931, min values: 6.2799e-07, max values: 37.927, median values: 0.21762, and quantile values: 0.25 0.058119\n0.50 0.217620\n0.75 0.788970\nName: 4332, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5654047797534594, std values: 4.884301510479311, min values: 2.8035e-06, max values: 39.802, median values: 0.23681, and quantile values: 0.25 0.078602\n0.50 0.236810\n0.75 0.951570\nName: 4333, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3467540816232704, std values: 4.733002802427321, min values: 1.0046e-06, max values: 38.982, median values: 0.18818, and quantile values: 0.25 0.055799\n0.50 0.188180\n0.75 0.775210\nName: 4334, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5875635968584905, std values: 5.065629686265616, min values: 1.572e-06, max values: 41.171, median values: 0.23732, and quantile values: 0.25 0.070804\n0.50 0.237320\n0.75 0.995005\nName: 4335, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.509862420321069, std values: 4.840431983141457, min values: 2.6285e-07, max values: 38.779, median values: 0.21273, and quantile values: 0.25 0.054584\n0.50 0.212730\n0.75 0.951970\nName: 4336, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5059488815600628, std values: 4.7614906540305, min values: 5.9205e-07, max values: 38.371, median values: 0.23643, and quantile values: 0.25 0.063263\n0.50 0.236430\n0.75 0.983755\nName: 4337, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4496935718786164, std values: 4.88459387694671, min values: 1.7416e-06, max values: 39.599, median values: 0.20192, and quantile values: 0.25 0.054879\n0.50 0.201920\n0.75 0.893410\nName: 4338, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5790602085603773, std values: 4.787187744372261, min values: 1.3925e-06, max values: 38.086, median values: 0.25007, and quantile values: 0.25 0.071155\n0.50 0.250070\n0.75 1.019700\nName: 4339, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2557463429043332, std values: 4.641159045551965, min values: 6.0969e-08, max values: 38.001, median values: 0.14358, and quantile values: 0.25 0.034336\n0.50 0.143580\n0.75 0.654095\nName: 4340, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4954232408867925, std values: 5.0102018581070595, min values: 8.612e-07, max values: 41.241, median values: 0.21604, and quantile values: 0.25 0.063987\n0.50 0.216040\n0.75 0.860155\nName: 4341, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5326611693558487, std values: 5.0732044820759, min values: 2.3338e-07, max values: 43.404, median values: 0.24131, and quantile values: 0.25 0.053076\n0.50 0.241310\n0.75 0.922785\nName: 4342, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6670382866056603, std values: 5.222813784760731, min values: 3.8221e-06, max values: 42.94, median values: 0.28047, and quantile values: 0.25 0.080932\n0.50 0.280470\n0.75 1.079650\nName: 4343, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6007862700295596, std values: 5.067191143696395, min values: 2.1241e-06, max values: 40.617, median values: 0.25089, and quantile values: 0.25 0.073119\n0.50 0.250890\n0.75 0.975980\nName: 4344, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4290071747450128, std values: 4.846256505477465, min values: 3.6257e-08, max values: 40.094, median values: 0.18776, and quantile values: 0.25 0.04940\n0.50 0.18776\n0.75 0.88438\nName: 4345, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2945288034410694, std values: 4.6780390068105, min values: 9.9843e-07, max values: 38.429, median values: 0.14997, and quantile values: 0.25 0.055099\n0.50 0.149970\n0.75 0.701305\nName: 4346, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5596500205213835, std values: 5.010109732404323, min values: 2.7215e-06, max values: 39.893, median values: 0.25074, and quantile values: 0.25 0.067732\n0.50 0.250740\n0.75 1.021100\nName: 4347, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4136141786647798, std values: 4.86192956160053, min values: 2.1585e-06, max values: 39.686, median values: 0.21679, and quantile values: 0.25 0.059971\n0.50 0.216790\n0.75 0.838565\nName: 4348, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3938322271218866, std values: 4.79414722528898, min values: 4.3878e-07, max values: 38.367, median values: 0.1847, and quantile values: 0.25 0.054695\n0.50 0.184700\n0.75 0.829415\nName: 4349, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3730805101616352, std values: 4.695732050757087, min values: 1.4641e-06, max values: 38.434, median values: 0.18856, and quantile values: 0.25 0.056440\n0.50 0.188560\n0.75 0.769155\nName: 4350, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4374261651308178, std values: 4.822678826023717, min values: 1.3579e-06, max values: 39.07, median values: 0.19148, and quantile values: 0.25 0.057861\n0.50 0.191480\n0.75 0.841965\nName: 4351, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7134970004773586, std values: 4.91988687018962, min values: 1.2764e-06, max values: 38.595, median values: 0.30039, and quantile values: 0.25 0.082795\n0.50 0.300390\n0.75 1.259250\nName: 4352, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5539543604020754, std values: 4.8110932258532815, min values: 5.2463e-07, max values: 37.714, median values: 0.23345, and quantile values: 0.25 0.06640\n0.50 0.23345\n0.75 1.05835\nName: 4353, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4899361676597485, std values: 5.022574323854377, min values: 2.8157e-06, max values: 41.026, median values: 0.22974, and quantile values: 0.25 0.06518\n0.50 0.22974\n0.75 0.86678\nName: 4354, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4586258238828302, std values: 4.973645596935068, min values: 2.9487e-07, max values: 41.828, median values: 0.19937, and quantile values: 0.25 0.056732\n0.50 0.199370\n0.75 0.878120\nName: 4355, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4530396395704406, std values: 4.724616116850318, min values: 1.5876e-06, max values: 39.116, median values: 0.21816, and quantile values: 0.25 0.068246\n0.50 0.218160\n0.75 0.943840\nName: 4356, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7632345454113212, std values: 5.141881996272876, min values: 4.5349e-06, max values: 40.886, median values: 0.3237, and quantile values: 0.25 0.087202\n0.50 0.323700\n0.75 1.166600\nName: 4357, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6327261121377359, std values: 5.16716388099639, min values: 2.0541e-06, max values: 42.201, median values: 0.25397, and quantile values: 0.25 0.076957\n0.50 0.253970\n0.75 1.069850\nName: 4358, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.63421050164717, std values: 5.18518054831463, min values: 3.5222e-06, max values: 41.965, median values: 0.25088, and quantile values: 0.25 0.082271\n0.50 0.250880\n0.75 1.005155\nName: 4359, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2793733861414467, std values: 4.833832904336571, min values: 1.799e-08, max values: 40.658, median values: 0.16798, and quantile values: 0.25 0.045440\n0.50 0.167980\n0.75 0.692455\nName: 4360, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4853764814522012, std values: 5.180844515286187, min values: 1.7682e-06, max values: 44.402, median values: 0.21171, and quantile values: 0.25 0.059622\n0.50 0.211710\n0.75 0.907680\nName: 4361, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3167042162922014, std values: 4.630737038516096, min values: 5.5876e-07, max values: 38.405, median values: 0.21593, and quantile values: 0.25 0.050575\n0.50 0.215930\n0.75 0.719190\nName: 4362, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.536548765192453, std values: 4.831778986697571, min values: 1.6488e-06, max values: 39.077, median values: 0.27709, and quantile values: 0.25 0.065154\n0.50 0.277090\n0.75 0.992120\nName: 4363, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7072591074040881, std values: 5.269297084959395, min values: 9.3245e-07, max values: 45.013, median values: 0.29945, and quantile values: 0.25 0.076312\n0.50 0.299450\n0.75 1.157300\nName: 4364, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2421123523035849, std values: 4.694883584977548, min values: 4.3974e-07, max values: 37.771, median values: 0.14869, and quantile values: 0.25 0.042806\n0.50 0.148690\n0.75 0.633455\nName: 4365, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.281801440290566, std values: 4.812175705054525, min values: 1.7586e-06, max values: 38.796, median values: 0.191, and quantile values: 0.25 0.051677\n0.50 0.191000\n0.75 0.644355\nName: 4366, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5097861858276729, std values: 5.329269245291922, min values: 3.397e-06, max values: 45.322, median values: 0.23515, and quantile values: 0.25 0.064419\n0.50 0.235150\n0.75 0.807755\nName: 4367, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3664281260538367, std values: 4.8908102904297905, min values: 6.5776e-07, max values: 40.098, median values: 0.16875, and quantile values: 0.25 0.043086\n0.50 0.168750\n0.75 0.764630\nName: 4368, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5931960564635221, std values: 4.904545158110231, min values: 1.0661e-06, max values: 38.743, median values: 0.29934, and quantile values: 0.25 0.07448\n0.50 0.29934\n0.75 1.08825\nName: 4369, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4903275033056607, std values: 4.845028332939493, min values: 2.6814e-06, max values: 39.519, median values: 0.23345, and quantile values: 0.25 0.065974\n0.50 0.233450\n0.75 0.900970\nName: 4370, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7566743861383651, std values: 4.98848854521532, min values: 3.6229e-06, max values: 38.819, median values: 0.32495, and quantile values: 0.25 0.093063\n0.50 0.324950\n0.75 1.216100\nName: 4371, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5079741429408804, std values: 5.205406084213074, min values: 5.7797e-06, max values: 41.807, median values: 0.23328, and quantile values: 0.25 0.057473\n0.50 0.233280\n0.75 0.778400\nName: 4372, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5658191971496855, std values: 4.971662798706865, min values: 2.2739e-06, max values: 39.943, median values: 0.26916, and quantile values: 0.25 0.075549\n0.50 0.269160\n0.75 1.015100\nName: 4373, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6553727954496853, std values: 5.0931527659555265, min values: 3.5338e-06, max values: 40.037, median values: 0.27867, and quantile values: 0.25 0.075337\n0.50 0.278670\n0.75 1.094050\nName: 4374, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4782378412918868, std values: 5.17165841131701, min values: 6.4801e-07, max values: 44.62, median values: 0.19988, and quantile values: 0.25 0.058264\n0.50 0.199880\n0.75 0.835270\nName: 4375, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.437206375566038, std values: 4.786861744285409, min values: 1.1141e-06, max values: 37.996, median values: 0.24037, and quantile values: 0.25 0.061794\n0.50 0.240370\n0.75 0.830200\nName: 4376, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3452402277742137, std values: 4.97706095107352, min values: 5.4021e-06, max values: 42.807, median values: 0.15834, and quantile values: 0.25 0.045867\n0.50 0.158340\n0.75 0.632400\nName: 4377, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8027535530773584, std values: 5.195492199596258, min values: 5.1007e-06, max values: 40.314, median values: 0.31388, and quantile values: 0.25 0.094391\n0.50 0.313880\n0.75 1.163000\nName: 4378, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5116692540037735, std values: 5.062540357965612, min values: 3.0704e-06, max values: 40.689, median values: 0.21282, and quantile values: 0.25 0.064965\n0.50 0.212820\n0.75 0.895125\nName: 4379, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3044556764468556, std values: 4.7603861085488415, min values: 1.1994e-07, max values: 40.027, median values: 0.1479, and quantile values: 0.25 0.033407\n0.50 0.147900\n0.75 0.642555\nName: 4380, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2967597620854718, std values: 4.558090988374623, min values: 3.5309e-07, max values: 38.242, median values: 0.16621, and quantile values: 0.25 0.048195\n0.50 0.166210\n0.75 0.747945\nName: 4381, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4181736324030187, std values: 5.100718243572822, min values: 8.3038e-07, max values: 44.163, median values: 0.19677, and quantile values: 0.25 0.063263\n0.50 0.196770\n0.75 0.772375\nName: 4382, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2142802831395156, std values: 4.633920596378935, min values: 1.6443e-08, max values: 37.465, median values: 0.15095, and quantile values: 0.25 0.035087\n0.50 0.150950\n0.75 0.558445\nName: 4383, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5275834797048427, std values: 4.990731039280714, min values: 4.2027e-07, max values: 41.281, median values: 0.22474, and quantile values: 0.25 0.062056\n0.50 0.224740\n0.75 1.004290\nName: 4384, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2178643598648426, std values: 4.62797702636932, min values: 8.7001e-07, max values: 37.966, median values: 0.15382, and quantile values: 0.25 0.049683\n0.50 0.153820\n0.75 0.610095\nName: 4385, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5794441693534593, std values: 5.130119300486082, min values: 6.259e-07, max values: 41.637, median values: 0.2096, and quantile values: 0.25 0.065558\n0.50 0.209600\n0.75 1.028850\nName: 4386, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5356577487231444, std values: 5.025260299520279, min values: 8.6628e-07, max values: 41.418, median values: 0.22521, and quantile values: 0.25 0.066407\n0.50 0.225210\n0.75 0.980225\nName: 4387, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4947252110691827, std values: 4.9892254844332955, min values: 3.8243e-07, max values: 42.459, median values: 0.18544, and quantile values: 0.25 0.052653\n0.50 0.185440\n0.75 0.805900\nName: 4388, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.638924620936478, std values: 5.175521861403405, min values: 1.766e-06, max values: 42.714, median values: 0.25639, and quantile values: 0.25 0.077661\n0.50 0.256390\n0.75 1.050750\nName: 4389, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4261223000270442, std values: 4.907813962527867, min values: 1.3903e-07, max values: 41.441, median values: 0.18984, and quantile values: 0.25 0.043707\n0.50 0.189840\n0.75 0.741810\nName: 4390, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4481542878056604, std values: 4.887536392242002, min values: 2.5922e-06, max values: 39.883, median values: 0.23593, and quantile values: 0.25 0.062788\n0.50 0.235930\n0.75 0.806015\nName: 4391, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.566215299401258, std values: 4.940098860170001, min values: 1.6059e-06, max values: 39.444, median values: 0.24322, and quantile values: 0.25 0.070714\n0.50 0.243220\n0.75 1.033455\nName: 4392, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.476632455535849, std values: 4.715615635307893, min values: 2.1818e-06, max values: 39.207, median values: 0.23372, and quantile values: 0.25 0.075692\n0.50 0.233720\n0.75 0.951230\nName: 4393, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4208413710861636, std values: 4.9420797592207055, min values: 3.2608e-06, max values: 39.715, median values: 0.2059, and quantile values: 0.25 0.065595\n0.50 0.205900\n0.75 0.804265\nName: 4394, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4897278556798739, std values: 5.168663837283277, min values: 1.0066e-06, max values: 44.298, median values: 0.20954, and quantile values: 0.25 0.059756\n0.50 0.209540\n0.75 0.811465\nName: 4395, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4233993931569182, std values: 4.6962005451815685, min values: 2.1945e-07, max values: 37.929, median values: 0.21808, and quantile values: 0.25 0.055181\n0.50 0.218080\n0.75 0.857305\nName: 4396, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4590788713822513, std values: 4.681949570377641, min values: 2.7428e-08, max values: 36.78, median values: 0.21271, and quantile values: 0.25 0.053951\n0.50 0.212710\n0.75 1.019950\nName: 4397, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4753236099264149, std values: 5.030740373871263, min values: 1.5546e-06, max values: 41.76, median values: 0.22023, and quantile values: 0.25 0.062920\n0.50 0.220230\n0.75 0.859045\nName: 4398, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.74959867593522, std values: 5.227236345384718, min values: 1.3981e-06, max values: 42.779, median values: 0.31303, and quantile values: 0.25 0.074285\n0.50 0.313030\n0.75 1.232300\nName: 4399, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6429352203264151, std values: 5.300919741801899, min values: 5.2527e-06, max values: 43.258, median values: 0.26526, and quantile values: 0.25 0.073547\n0.50 0.265260\n0.75 1.013510\nName: 4400, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6227178111496858, std values: 5.055136353331756, min values: 2.5946e-06, max values: 39.673, median values: 0.2748, and quantile values: 0.25 0.075228\n0.50 0.274800\n0.75 1.060050\nName: 4401, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.425630422501195, std values: 4.883470450690466, min values: 5.3669e-07, max values: 40.094, median values: 0.19972, and quantile values: 0.25 0.058203\n0.50 0.199720\n0.75 0.863990\nName: 4402, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6634591417080502, std values: 5.1316325485768965, min values: 4.8908e-07, max values: 42.319, median values: 0.25698, and quantile values: 0.25 0.069277\n0.50 0.256980\n0.75 1.094000\nName: 4403, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4396732348327042, std values: 5.276001229530667, min values: 3.314e-07, max values: 46.962, median values: 0.18078, and quantile values: 0.25 0.047052\n0.50 0.180780\n0.75 0.749625\nName: 4404, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.103768064389937, std values: 5.983396472011865, min values: 2.2157e-05, max values: 43.364, median values: 0.30632, and quantile values: 0.25 0.08581\n0.50 0.30632\n0.75 1.13020\nName: 4405, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5823211606245284, std values: 5.123459861025404, min values: 1.1543e-06, max values: 42.436, median values: 0.216, and quantile values: 0.25 0.065832\n0.50 0.216000\n0.75 0.981155\nName: 4406, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2498103214996228, std values: 4.6759823382670875, min values: 3.9014e-07, max values: 37.568, median values: 0.13614, and quantile values: 0.25 0.04956\n0.50 0.13614\n0.75 0.62593\nName: 4407, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.358386403770975, std values: 5.002718763524747, min values: 1.7205e-08, max values: 43.749, median values: 0.17421, and quantile values: 0.25 0.042303\n0.50 0.174210\n0.75 0.730590\nName: 4408, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.309342176726415, std values: 4.9182508650561525, min values: 1.3878e-06, max values: 40.243, median values: 0.16168, and quantile values: 0.25 0.048009\n0.50 0.161680\n0.75 0.677100\nName: 4409, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5813524291509433, std values: 4.728165595799769, min values: 1.0565e-06, max values: 38.627, median values: 0.22969, and quantile values: 0.25 0.073477\n0.50 0.229690\n0.75 1.041135\nName: 4410, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.316900254181698, std values: 4.871862481698589, min values: 3.6179e-07, max values: 41.246, median values: 0.1593, and quantile values: 0.25 0.049630\n0.50 0.159300\n0.75 0.726365\nName: 4411, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5811118264226416, std values: 5.251119867376589, min values: 5.8702e-06, max values: 41.84, median values: 0.23884, and quantile values: 0.25 0.063396\n0.50 0.238840\n0.75 0.809960\nName: 4412, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3444125209257862, std values: 4.6129122967937946, min values: 2.7265e-06, max values: 39.741, median values: 0.18228, and quantile values: 0.25 0.060742\n0.50 0.182280\n0.75 0.783140\nName: 4413, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5409780309484906, std values: 4.774918716697349, min values: 6.7081e-07, max values: 37.14, median values: 0.25776, and quantile values: 0.25 0.05978\n0.50 0.25776\n0.75 1.00595\nName: 4414, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.590176098661132, std values: 4.957277461135676, min values: 9.5092e-07, max values: 39.966, median values: 0.27619, and quantile values: 0.25 0.070382\n0.50 0.276190\n0.75 1.057000\nName: 4415, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3618179237998111, std values: 4.997736698152657, min values: 6.8557e-07, max values: 41.826, median values: 0.16505, and quantile values: 0.25 0.046698\n0.50 0.165050\n0.75 0.726695\nName: 4416, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2514512399247044, std values: 4.485495834403417, min values: 5.0068e-08, max values: 36.878, median values: 0.15287, and quantile values: 0.25 0.045858\n0.50 0.152870\n0.75 0.672930\nName: 4417, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6086473874666103, std values: 4.9032930039417, min values: 3.7591e-08, max values: 39.429, median values: 0.21216, and quantile values: 0.25 0.05599\n0.50 0.21216\n0.75 1.10405\nName: 4418, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1949142721213837, std values: 4.6143573213152385, min values: 2.0093e-06, max values: 39.226, median values: 0.15072, and quantile values: 0.25 0.044954\n0.50 0.150720\n0.75 0.495135\nName: 4419, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.629529604918805, std values: 4.876825564896981, min values: 9.4749e-07, max values: 38.271, median values: 0.27763, and quantile values: 0.25 0.070001\n0.50 0.277630\n0.75 1.095150\nName: 4420, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4608130372563144, std values: 4.9205271033206355, min values: 1.8064e-08, max values: 41.238, median values: 0.17222, and quantile values: 0.25 0.040655\n0.50 0.172220\n0.75 0.805190\nName: 4421, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7578877575754717, std values: 5.145866488419196, min values: 5.1355e-06, max values: 39.803, median values: 0.31269, and quantile values: 0.25 0.084566\n0.50 0.312690\n0.75 1.187950\nName: 4422, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3864956237348427, std values: 4.826759460999802, min values: 4.7744e-07, max values: 38.836, median values: 0.15292, and quantile values: 0.25 0.051161\n0.50 0.152920\n0.75 0.810860\nName: 4423, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6837611952283018, std values: 4.930443179566563, min values: 1.6188e-06, max values: 38.708, median values: 0.27802, and quantile values: 0.25 0.073371\n0.50 0.278020\n0.75 1.121650\nName: 4424, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3394786630836544, std values: 4.701146577016101, min values: 4.7421e-08, max values: 37.78, median values: 0.17608, and quantile values: 0.25 0.037694\n0.50 0.176080\n0.75 0.725335\nName: 4425, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4407817107427046, std values: 5.015366266138981, min values: 4.1584e-07, max values: 42.784, median values: 0.18663, and quantile values: 0.25 0.044934\n0.50 0.186630\n0.75 0.763970\nName: 4426, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4475295218286164, std values: 4.851232225015643, min values: 7.6015e-07, max values: 38.911, median values: 0.20951, and quantile values: 0.25 0.060011\n0.50 0.209510\n0.75 0.878920\nName: 4427, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3771858623029938, std values: 4.693299989815796, min values: 2.2546e-08, max values: 37.188, median values: 0.19267, and quantile values: 0.25 0.051943\n0.50 0.192670\n0.75 0.826045\nName: 4428, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5290524448119498, std values: 5.048754020997637, min values: 1.8181e-06, max values: 41.013, median values: 0.23486, and quantile values: 0.25 0.062779\n0.50 0.234860\n0.75 0.950025\nName: 4429, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5124757901930819, std values: 5.042300778577083, min values: 1.317e-06, max values: 41.66, median values: 0.22898, and quantile values: 0.25 0.075563\n0.50 0.228980\n0.75 0.936095\nName: 4430, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4597094315421386, std values: 4.991433082463983, min values: 2.3055e-06, max values: 39.972, median values: 0.23301, and quantile values: 0.25 0.061479\n0.50 0.233010\n0.75 0.882660\nName: 4431, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3603120985581763, std values: 4.879143403243546, min values: 1.6965e-07, max values: 40.41, median values: 0.19772, and quantile values: 0.25 0.055235\n0.50 0.197720\n0.75 0.795370\nName: 4432, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5232762141924527, std values: 4.965386564489133, min values: 7.9106e-06, max values: 42.851, median values: 0.2302, and quantile values: 0.25 0.067587\n0.50 0.230200\n0.75 0.841755\nName: 4433, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4186764071477986, std values: 4.950846533161776, min values: 1.3101e-06, max values: 40.067, median values: 0.21085, and quantile values: 0.25 0.067438\n0.50 0.210850\n0.75 0.855075\nName: 4434, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3986248451584904, std values: 4.856085098647489, min values: 1.8735e-06, max values: 39.109, median values: 0.20512, and quantile values: 0.25 0.058348\n0.50 0.205120\n0.75 0.783015\nName: 4435, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3678722707790567, std values: 4.921256413895564, min values: 4.1175e-07, max values: 42.043, median values: 0.16507, and quantile values: 0.25 0.042277\n0.50 0.165070\n0.75 0.713585\nName: 4436, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6488520667496858, std values: 5.1580227362514695, min values: 1.8805e-06, max values: 42.544, median values: 0.29373, and quantile values: 0.25 0.07343\n0.50 0.29373\n0.75 1.06230\nName: 4437, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.446770821718239, std values: 4.733640972176688, min values: 1.154e-06, max values: 37.995, median values: 0.23924, and quantile values: 0.25 0.071094\n0.50 0.239240\n0.75 0.915920\nName: 4438, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3926044919032075, std values: 4.933381572760162, min values: 2.7351e-07, max values: 41.432, median values: 0.19877, and quantile values: 0.25 0.053802\n0.50 0.198770\n0.75 0.762935\nName: 4439, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4563037171018869, std values: 4.96674019377426, min values: 2.1817e-06, max values: 40.609, median values: 0.21229, and quantile values: 0.25 0.058601\n0.50 0.212290\n0.75 0.863395\nName: 4440, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5626568243773586, std values: 5.10714311099732, min values: 2.8258e-06, max values: 41.622, median values: 0.2734, and quantile values: 0.25 0.077613\n0.50 0.273400\n0.75 0.897460\nName: 4441, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3767791197815722, std values: 4.54292945493235, min values: 7.8217e-07, max values: 38.798, median values: 0.20252, and quantile values: 0.25 0.058606\n0.50 0.202520\n0.75 0.821580\nName: 4442, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6671097519943396, std values: 5.318822414473896, min values: 1.0246e-06, max values: 46.759, median values: 0.27587, and quantile values: 0.25 0.07687\n0.50 0.27587\n0.75 1.07765\nName: 4443, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2947975023842768, std values: 4.938473155470835, min values: 3.3473e-06, max values: 40.346, median values: 0.16943, and quantile values: 0.25 0.058057\n0.50 0.169430\n0.75 0.586300\nName: 4444, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3882449552694338, std values: 4.77179571563264, min values: 6.5234e-07, max values: 37.964, median values: 0.2086, and quantile values: 0.25 0.050272\n0.50 0.208600\n0.75 0.801950\nName: 4445, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4790609506147798, std values: 4.594751678031212, min values: 4.3605e-07, max values: 38.021, median values: 0.23898, and quantile values: 0.25 0.065005\n0.50 0.238980\n0.75 0.883800\nName: 4446, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.700805066098113, std values: 5.067903555607423, min values: 1.8874e-06, max values: 40.255, median values: 0.31026, and quantile values: 0.25 0.087958\n0.50 0.310260\n0.75 1.153050\nName: 4447, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.353180624300629, std values: 4.670776892039134, min values: 1.119e-06, max values: 38.92, median values: 0.18433, and quantile values: 0.25 0.058356\n0.50 0.184330\n0.75 0.795460\nName: 4448, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7263592218672954, std values: 5.108842522270809, min values: 1.7591e-06, max values: 40.435, median values: 0.2741, and quantile values: 0.25 0.076596\n0.50 0.274100\n0.75 1.194450\nName: 4449, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2560784838327044, std values: 4.651357620163904, min values: 1.8731e-06, max values: 39.318, median values: 0.17048, and quantile values: 0.25 0.057422\n0.50 0.170480\n0.75 0.648595\nName: 4450, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6934940836477985, std values: 5.209361798471149, min values: 3.3368e-06, max values: 42.563, median values: 0.24111, and quantile values: 0.25 0.07517\n0.50 0.24111\n0.75 1.09575\nName: 4451, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4183405332547172, std values: 4.761915142891713, min values: 1.8147e-06, max values: 39.066, median values: 0.2228, and quantile values: 0.25 0.065616\n0.50 0.222800\n0.75 0.833985\nName: 4452, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4794509216925789, std values: 4.929868971827686, min values: 2.6632e-07, max values: 40.846, median values: 0.2288, and quantile values: 0.25 0.050096\n0.50 0.228800\n0.75 0.818095\nName: 4453, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5290050336308176, std values: 5.057948868841293, min values: 3.5997e-06, max values: 41.029, median values: 0.23636, and quantile values: 0.25 0.068879\n0.50 0.236360\n0.75 0.890110\nName: 4454, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7103370725566036, std values: 5.1234046112522424, min values: 1.8597e-06, max values: 40.571, median values: 0.27258, and quantile values: 0.25 0.075013\n0.50 0.272580\n0.75 1.172950\nName: 4455, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5463857770251574, std values: 4.836732856775518, min values: 2.1161e-06, max values: 39.636, median values: 0.2471, and quantile values: 0.25 0.081028\n0.50 0.247100\n0.75 0.983405\nName: 4456, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.329499422371503, std values: 4.623019368405188, min values: 2.6029e-08, max values: 36.831, median values: 0.17613, and quantile values: 0.25 0.041158\n0.50 0.176130\n0.75 0.739865\nName: 4457, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7362629557496856, std values: 5.233897826359197, min values: 1.1169e-06, max values: 43.835, median values: 0.27343, and quantile values: 0.25 0.073918\n0.50 0.273430\n0.75 1.218250\nName: 4458, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5451764501603773, std values: 5.101095656548647, min values: 2.36e-06, max values: 41.856, median values: 0.23738, and quantile values: 0.25 0.067168\n0.50 0.237380\n0.75 0.959385\nName: 4459, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8580320825094339, std values: 5.345487289924931, min values: 2.9018e-06, max values: 43.252, median values: 0.31744, and quantile values: 0.25 0.083637\n0.50 0.317440\n0.75 1.318200\nName: 4460, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3210558836584905, std values: 4.836003283061012, min values: 1.3802e-06, max values: 38.878, median values: 0.19046, and quantile values: 0.25 0.056202\n0.50 0.190460\n0.75 0.732220\nName: 4461, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4133791092572328, std values: 4.853173369972302, min values: 2.8416e-06, max values: 38.51, median values: 0.20909, and quantile values: 0.25 0.056206\n0.50 0.209090\n0.75 0.801255\nName: 4462, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4721906437908805, std values: 5.013863771390754, min values: 3.8173e-07, max values: 43.22, median values: 0.20105, and quantile values: 0.25 0.043932\n0.50 0.201050\n0.75 0.794680\nName: 4463, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.616813989338994, std values: 5.180674883055474, min values: 2.7969e-06, max values: 42.638, median values: 0.24012, and quantile values: 0.25 0.069369\n0.50 0.240120\n0.75 1.072700\nName: 4464, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3434351939022011, std values: 4.72732814714927, min values: 3.7545e-07, max values: 38.533, median values: 0.17757, and quantile values: 0.25 0.049107\n0.50 0.177570\n0.75 0.782090\nName: 4465, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.546491778619497, std values: 4.884527600366066, min values: 2.5436e-06, max values: 39.617, median values: 0.20567, and quantile values: 0.25 0.064079\n0.50 0.205670\n0.75 0.933465\nName: 4466, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2794326726357232, std values: 4.580627515341909, min values: 4.3658e-07, max values: 37.975, median values: 0.15754, and quantile values: 0.25 0.046130\n0.50 0.157540\n0.75 0.730955\nName: 4467, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.785516885340629, std values: 5.696994299343466, min values: 7.4446e-07, max values: 52.4, median values: 0.29797, and quantile values: 0.25 0.066037\n0.50 0.297970\n0.75 1.194500\nName: 4468, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6808489382012577, std values: 4.843029235279858, min values: 1.0852e-06, max values: 37.808, median values: 0.27087, and quantile values: 0.25 0.074701\n0.50 0.270870\n0.75 1.188650\nName: 4469, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6590092452742138, std values: 5.0343983184458185, min values: 9.211e-07, max values: 40.807, median values: 0.28362, and quantile values: 0.25 0.072636\n0.50 0.283620\n0.75 1.142800\nName: 4470, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6370185697685535, std values: 4.903293124668787, min values: 1.7922e-06, max values: 38.931, median values: 0.25836, and quantile values: 0.25 0.07025\n0.50 0.25836\n0.75 1.13665\nName: 4471, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.472005874948113, std values: 4.783275168142587, min values: 7.5455e-07, max values: 37.556, median values: 0.22333, and quantile values: 0.25 0.061965\n0.50 0.223330\n0.75 0.842565\nName: 4472, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.626862978279245, std values: 5.083422425051408, min values: 2.9718e-06, max values: 40.342, median values: 0.27059, and quantile values: 0.25 0.071819\n0.50 0.270590\n0.75 1.129450\nName: 4473, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.643069630807547, std values: 5.083769492891116, min values: 1.3841e-06, max values: 40.707, median values: 0.25018, and quantile values: 0.25 0.073064\n0.50 0.250180\n0.75 1.116100\nName: 4474, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2396718608197232, std values: 4.58792344247512, min values: 1.8876e-08, max values: 36.991, median values: 0.15709, and quantile values: 0.25 0.043873\n0.50 0.157090\n0.75 0.676530\nName: 4475, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6064560158289307, std values: 5.101158923762045, min values: 2.8422e-06, max values: 41.376, median values: 0.29842, and quantile values: 0.25 0.080841\n0.50 0.298420\n0.75 1.019600\nName: 4476, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4886470337313837, std values: 4.794385121475481, min values: 2.3439e-07, max values: 38.376, median values: 0.20975, and quantile values: 0.25 0.057646\n0.50 0.209750\n0.75 0.886515\nName: 4477, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.532885742237107, std values: 5.140079213773192, min values: 3.2732e-06, max values: 41.582, median values: 0.23101, and quantile values: 0.25 0.057214\n0.50 0.231010\n0.75 0.943205\nName: 4478, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.481142574152956, std values: 5.137538415658534, min values: 2.7682e-07, max values: 45.143, median values: 0.1892, and quantile values: 0.25 0.055202\n0.50 0.189200\n0.75 0.880205\nName: 4479, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.762612758419113, std values: 5.199163379166232, min values: 2.6769e-08, max values: 44.338, median values: 0.30294, and quantile values: 0.25 0.060236\n0.50 0.302940\n0.75 1.170050\nName: 4480, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6873913413540882, std values: 5.016091910991607, min values: 1.7442e-06, max values: 39.443, median values: 0.3032, and quantile values: 0.25 0.07695\n0.50 0.30320\n0.75 1.23800\nName: 4481, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3788617033591195, std values: 4.703288252148099, min values: 2.6661e-06, max values: 38.875, median values: 0.19836, and quantile values: 0.25 0.058607\n0.50 0.198360\n0.75 0.754125\nName: 4482, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4008216833474845, std values: 4.8162606271215544, min values: 4.9525e-07, max values: 38.769, median values: 0.17133, and quantile values: 0.25 0.055144\n0.50 0.171330\n0.75 0.788385\nName: 4483, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6597128981981133, std values: 4.99351171448151, min values: 2.1167e-06, max values: 39.406, median values: 0.29877, and quantile values: 0.25 0.077535\n0.50 0.298770\n0.75 1.143400\nName: 4484, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6571793936817614, std values: 4.963441792193879, min values: 2.2309e-06, max values: 39.248, median values: 0.30133, and quantile values: 0.25 0.078858\n0.50 0.301330\n0.75 1.122350\nName: 4485, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5580807963527046, std values: 4.918299088762612, min values: 7.5518e-07, max values: 39.449, median values: 0.24295, and quantile values: 0.25 0.066644\n0.50 0.242950\n0.75 1.014200\nName: 4486, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5266795584587798, std values: 5.302393080527681, min values: 2.2354e-08, max values: 48.383, median values: 0.20531, and quantile values: 0.25 0.044887\n0.50 0.205310\n0.75 0.888475\nName: 4487, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2391138516685536, std values: 4.586843826848917, min values: 2.593e-07, max values: 36.776, median values: 0.138, and quantile values: 0.25 0.044787\n0.50 0.138000\n0.75 0.635210\nName: 4488, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5762540388289308, std values: 4.936797170441494, min values: 1.4488e-06, max values: 38.872, median values: 0.25643, and quantile values: 0.25 0.072614\n0.50 0.256430\n0.75 0.987605\nName: 4489, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.360098090195346, std values: 4.990951614412096, min values: 6.1926e-07, max values: 42.654, median values: 0.16978, and quantile values: 0.25 0.052405\n0.50 0.169780\n0.75 0.761710\nName: 4490, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3533360365889309, std values: 4.837950021043039, min values: 2.8264e-07, max values: 39.76, median values: 0.20195, and quantile values: 0.25 0.053874\n0.50 0.201950\n0.75 0.768735\nName: 4491, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6463152296169812, std values: 5.136377041669407, min values: 3.3874e-06, max values: 40.916, median values: 0.27909, and quantile values: 0.25 0.078141\n0.50 0.279090\n0.75 1.079700\nName: 4492, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5193775540056604, std values: 4.854364573543361, min values: 1.6323e-06, max values: 38.756, median values: 0.23039, and quantile values: 0.25 0.068385\n0.50 0.230390\n0.75 0.966565\nName: 4493, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.546893690619497, std values: 5.041122432901264, min values: 3.8677e-06, max values: 40.591, median values: 0.24988, and quantile values: 0.25 0.077102\n0.50 0.249880\n0.75 0.948405\nName: 4494, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2513483611972958, std values: 4.497262604270215, min values: 5.3247e-07, max values: 37.823, median values: 0.15201, and quantile values: 0.25 0.047115\n0.50 0.152010\n0.75 0.710580\nName: 4495, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5324879782974843, std values: 4.909648407615275, min values: 4.4198e-06, max values: 39.859, median values: 0.22723, and quantile values: 0.25 0.067653\n0.50 0.227230\n0.75 0.927900\nName: 4496, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.650052656797547, std values: 4.9344531676799965, min values: 6.9831e-07, max values: 38.997, median values: 0.2705, and quantile values: 0.25 0.076067\n0.50 0.270500\n0.75 1.134600\nName: 4497, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.347809430807359, std values: 4.808943780438944, min values: 4.3917e-07, max values: 38.838, median values: 0.17203, and quantile values: 0.25 0.054069\n0.50 0.172030\n0.75 0.760610\nName: 4498, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3821614674528302, std values: 4.785850045206421, min values: 2.1407e-08, max values: 40.403, median values: 0.15035, and quantile values: 0.25 0.034849\n0.50 0.150350\n0.75 0.725325\nName: 4499, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.457896970681132, std values: 4.923739545361815, min values: 4.0144e-06, max values: 40.689, median values: 0.21994, and quantile values: 0.25 0.067015\n0.50 0.219940\n0.75 0.802505\nName: 4500, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6830273022075473, std values: 5.1293272976342275, min values: 4.1031e-06, max values: 40.149, median values: 0.26743, and quantile values: 0.25 0.090418\n0.50 0.267430\n0.75 1.043500\nName: 4501, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6646332915056605, std values: 5.061276243828371, min values: 1.6793e-06, max values: 39.68, median values: 0.26915, and quantile values: 0.25 0.072989\n0.50 0.269150\n0.75 1.127250\nName: 4502, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.650632224862893, std values: 5.0526066523299304, min values: 2.0507e-06, max values: 39.754, median values: 0.28152, and quantile values: 0.25 0.07064\n0.50 0.28152\n0.75 1.07205\nName: 4503, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6514980344188679, std values: 5.040512777925822, min values: 4.0076e-06, max values: 39.753, median values: 0.29173, and quantile values: 0.25 0.081218\n0.50 0.291730\n0.75 1.066450\nName: 4504, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7792654688440255, std values: 5.053754714163327, min values: 3.8114e-06, max values: 39.569, median values: 0.32688, and quantile values: 0.25 0.087386\n0.50 0.326880\n0.75 1.261750\nName: 4505, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5166605264962265, std values: 4.888624548604105, min values: 1.5314e-06, max values: 38.696, median values: 0.22049, and quantile values: 0.25 0.066932\n0.50 0.220490\n0.75 0.840190\nName: 4506, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3748614049161636, std values: 4.863955687361088, min values: 5.2817e-07, max values: 40.353, median values: 0.17294, and quantile values: 0.25 0.044804\n0.50 0.172940\n0.75 0.712200\nName: 4507, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4725913867528302, std values: 4.951895959788427, min values: 1.6485e-06, max values: 39.479, median values: 0.23095, and quantile values: 0.25 0.064077\n0.50 0.230950\n0.75 0.870095\nName: 4508, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5248172968402516, std values: 4.9767757434778, min values: 2.8121e-06, max values: 39.638, median values: 0.22108, and quantile values: 0.25 0.071239\n0.50 0.221080\n0.75 0.890965\nName: 4509, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9538651412358492, std values: 5.479593903953618, min values: 2.4135e-06, max values: 45.092, median values: 0.34226, and quantile values: 0.25 0.105835\n0.50 0.342260\n0.75 1.365700\nName: 4510, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5252008355088051, std values: 5.049762944512945, min values: 1.139e-06, max values: 42.079, median values: 0.22575, and quantile values: 0.25 0.069109\n0.50 0.225750\n0.75 0.955480\nName: 4511, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.572017403877547, std values: 5.060913323215316, min values: 9.1403e-07, max values: 42.126, median values: 0.24168, and quantile values: 0.25 0.072964\n0.50 0.241680\n0.75 1.009250\nName: 4512, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.762354502860377, std values: 5.1381777360160665, min values: 4.4318e-06, max values: 40.281, median values: 0.33006, and quantile values: 0.25 0.086221\n0.50 0.330060\n0.75 1.124000\nName: 4513, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3757581410492454, std values: 4.944333133595833, min values: 7.2703e-07, max values: 40.914, median values: 0.19322, and quantile values: 0.25 0.053564\n0.50 0.193220\n0.75 0.746275\nName: 4514, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.347089925528239, std values: 4.751444093255696, min values: 3.9439e-07, max values: 38.383, median values: 0.20629, and quantile values: 0.25 0.05481\n0.50 0.20629\n0.75 0.76461\nName: 4515, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4439388889817484, std values: 4.8382961507585485, min values: 2.8628e-08, max values: 39.372, median values: 0.19832, and quantile values: 0.25 0.048461\n0.50 0.198320\n0.75 0.861115\nName: 4516, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6275843800226415, std values: 5.033640391203537, min values: 3.245e-06, max values: 39.929, median values: 0.29462, and quantile values: 0.25 0.074987\n0.50 0.294620\n0.75 1.049400\nName: 4517, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.367455396883019, std values: 5.025719141622229, min values: 2.6123e-06, max values: 40.991, median values: 0.1869, and quantile values: 0.25 0.05716\n0.50 0.18690\n0.75 0.70317\nName: 4518, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7802607862427675, std values: 5.307462440104309, min values: 1.6128e-06, max values: 44.523, median values: 0.30861, and quantile values: 0.25 0.085032\n0.50 0.308610\n0.75 1.150600\nName: 4519, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5125295114987423, std values: 4.820198321483959, min values: 1.3983e-06, max values: 38.235, median values: 0.23853, and quantile values: 0.25 0.070416\n0.50 0.238530\n0.75 0.910560\nName: 4520, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2207698103105031, std values: 4.5866459143300995, min values: 2.7907e-07, max values: 36.963, median values: 0.17315, and quantile values: 0.25 0.046571\n0.50 0.173150\n0.75 0.666005\nName: 4521, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.195107323408113, std values: 4.418117602135673, min values: 2.1475e-07, max values: 36.773, median values: 0.13866, and quantile values: 0.25 0.040607\n0.50 0.138660\n0.75 0.639375\nName: 4522, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.493588541474214, std values: 4.8999734344262595, min values: 1.6341e-06, max values: 38.927, median values: 0.23195, and quantile values: 0.25 0.066645\n0.50 0.231950\n0.75 0.891680\nName: 4523, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.582402957163522, std values: 5.462409609623837, min values: 5.53e-06, max values: 45.365, median values: 0.22675, and quantile values: 0.25 0.061645\n0.50 0.226750\n0.75 0.782625\nName: 4524, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3261642226883648, std values: 4.728182982954148, min values: 5.5265e-07, max values: 37.934, median values: 0.17592, and quantile values: 0.25 0.051614\n0.50 0.175920\n0.75 0.777285\nName: 4525, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.0461254553452832, std values: 5.739629006999109, min values: 3.7892e-06, max values: 48.554, median values: 0.37849, and quantile values: 0.25 0.10781\n0.50 0.37849\n0.75 1.46160\nName: 4526, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5188639584584906, std values: 4.986091417937896, min values: 1.0469e-06, max values: 41.846, median values: 0.24252, and quantile values: 0.25 0.075865\n0.50 0.242520\n0.75 0.933555\nName: 4527, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4406998824402515, std values: 4.704321809058529, min values: 1.0687e-06, max values: 38.443, median values: 0.20759, and quantile values: 0.25 0.064634\n0.50 0.207590\n0.75 0.915915\nName: 4528, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4597121279779874, std values: 4.724571023538909, min values: 1.6129e-06, max values: 37.969, median values: 0.21827, and quantile values: 0.25 0.064387\n0.50 0.218270\n0.75 0.867245\nName: 4529, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8973696823220125, std values: 5.716469742366113, min values: 4.4521e-06, max values: 49.565, median values: 0.29575, and quantile values: 0.25 0.086221\n0.50 0.295750\n0.75 1.274950\nName: 4530, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.564793972508176, std values: 5.101237903946114, min values: 3.2631e-06, max values: 40.982, median values: 0.22665, and quantile values: 0.25 0.067279\n0.50 0.226650\n0.75 0.961305\nName: 4531, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.466863306272327, std values: 4.7950642356749675, min values: 1.7274e-06, max values: 38.598, median values: 0.25675, and quantile values: 0.25 0.070281\n0.50 0.256750\n0.75 0.899730\nName: 4532, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6808600352003145, std values: 5.185102812991215, min values: 8.2685e-07, max values: 43.469, median values: 0.27028, and quantile values: 0.25 0.078035\n0.50 0.270280\n0.75 1.162550\nName: 4533, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7520886958751947, std values: 5.06563118033147, min values: 3.9956e-08, max values: 40.684, median values: 0.28753, and quantile values: 0.25 0.072613\n0.50 0.287530\n0.75 1.266750\nName: 4534, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3544315369080504, std values: 4.816117606235732, min values: 4.3648e-07, max values: 39.119, median values: 0.18511, and quantile values: 0.25 0.056449\n0.50 0.185110\n0.75 0.749160\nName: 4535, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4466077545715723, std values: 4.9116303934996965, min values: 8.9038e-07, max values: 39.623, median values: 0.19034, and quantile values: 0.25 0.057331\n0.50 0.190340\n0.75 0.860045\nName: 4536, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7154029376276732, std values: 5.007442246567721, min values: 3.8531e-06, max values: 39.393, median values: 0.31752, and quantile values: 0.25 0.082654\n0.50 0.317520\n0.75 1.173500\nName: 4537, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6674914346144656, std values: 5.090063651590138, min values: 1.3553e-06, max values: 41.333, median values: 0.26674, and quantile values: 0.25 0.075621\n0.50 0.266740\n0.75 1.140150\nName: 4538, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.316906337071698, std values: 4.84916666023674, min values: 1.5587e-06, max values: 39.054, median values: 0.17182, and quantile values: 0.25 0.063107\n0.50 0.171820\n0.75 0.750825\nName: 4539, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4111309903918678, std values: 4.731013019014333, min values: 8.1407e-08, max values: 37.55, median values: 0.20596, and quantile values: 0.25 0.054040\n0.50 0.205960\n0.75 0.884795\nName: 4540, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6026529349616354, std values: 5.0532756239153285, min values: 4.1135e-06, max values: 40.061, median values: 0.25295, and quantile values: 0.25 0.073831\n0.50 0.252950\n0.75 1.000835\nName: 4541, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5221046491968555, std values: 4.9686795657152, min values: 2.13e-06, max values: 39.904, median values: 0.26459, and quantile values: 0.25 0.073916\n0.50 0.264590\n0.75 0.944410\nName: 4542, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4175682656754716, std values: 4.7728465459427705, min values: 2.0084e-06, max values: 39.705, median values: 0.20012, and quantile values: 0.25 0.061734\n0.50 0.200120\n0.75 0.813160\nName: 4543, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5823726672632077, std values: 5.404413212097662, min values: 6.7515e-07, max values: 49.167, median values: 0.24056, and quantile values: 0.25 0.064842\n0.50 0.240560\n0.75 0.952945\nName: 4544, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5330332253654089, std values: 5.033502813323477, min values: 4.3551e-06, max values: 40.526, median values: 0.22691, and quantile values: 0.25 0.063355\n0.50 0.226910\n0.75 0.890485\nName: 4545, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3546804544867925, std values: 4.951926613111583, min values: 3.0324e-06, max values: 39.74, median values: 0.16831, and quantile values: 0.25 0.043599\n0.50 0.168310\n0.75 0.664165\nName: 4546, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3741728457257862, std values: 4.89309093897627, min values: 1.5399e-06, max values: 39.345, median values: 0.21196, and quantile values: 0.25 0.063061\n0.50 0.211960\n0.75 0.794345\nName: 4547, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2563902520333332, std values: 4.592399983844618, min values: 1.628e-07, max values: 38.05, median values: 0.17781, and quantile values: 0.25 0.04806\n0.50 0.17781\n0.75 0.65409\nName: 4548, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4373910271679247, std values: 4.8727396895480535, min values: 2.3671e-06, max values: 39.067, median values: 0.20861, and quantile values: 0.25 0.063255\n0.50 0.208610\n0.75 0.884780\nName: 4549, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4790572384379246, std values: 4.9745525194480225, min values: 1.0532e-07, max values: 42.128, median values: 0.2284, and quantile values: 0.25 0.058209\n0.50 0.228400\n0.75 0.820040\nName: 4550, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.19871097743522, std values: 4.708036880339817, min values: 1.9279e-06, max values: 39.287, median values: 0.14801, and quantile values: 0.25 0.046216\n0.50 0.148010\n0.75 0.577085\nName: 4551, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4925180833413145, std values: 4.873589383574399, min values: 1.7169e-08, max values: 39.752, median values: 0.19896, and quantile values: 0.25 0.052329\n0.50 0.198960\n0.75 0.881005\nName: 4552, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7382166380596225, std values: 5.127208040383722, min values: 3.7258e-07, max values: 42.351, median values: 0.28643, and quantile values: 0.25 0.072249\n0.50 0.286430\n0.75 1.225700\nName: 4553, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5390497359699813, std values: 4.834266495620979, min values: 2.1739e-08, max values: 39.445, median values: 0.23175, and quantile values: 0.25 0.051507\n0.50 0.231750\n0.75 0.974755\nName: 4554, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3438205892225472, std values: 4.737223344599943, min values: 2.9515e-08, max values: 38.199, median values: 0.18623, and quantile values: 0.25 0.044651\n0.50 0.186230\n0.75 0.707205\nName: 4555, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4404436371874214, std values: 4.98974351299898, min values: 1.0927e-06, max values: 40.993, median values: 0.19203, and quantile values: 0.25 0.061342\n0.50 0.192030\n0.75 0.786335\nName: 4556, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3961646669632706, std values: 4.708690080948276, min values: 8.2666e-07, max values: 38.274, median values: 0.18705, and quantile values: 0.25 0.055815\n0.50 0.187050\n0.75 0.804460\nName: 4557, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4499886668685535, std values: 4.914143339863434, min values: 1.1098e-06, max values: 39.798, median values: 0.22307, and quantile values: 0.25 0.066985\n0.50 0.223070\n0.75 0.827650\nName: 4558, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7598716119012576, std values: 5.066118870199648, min values: 2.3647e-06, max values: 38.958, median values: 0.31486, and quantile values: 0.25 0.096798\n0.50 0.314860\n0.75 1.271250\nName: 4559, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5858751883528301, std values: 5.070168698018322, min values: 2.4407e-06, max values: 40.155, median values: 0.24868, and quantile values: 0.25 0.071222\n0.50 0.248680\n0.75 0.969050\nName: 4560, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3025009693232705, std values: 4.874134688046904, min values: 1.537e-07, max values: 41.097, median values: 0.14485, and quantile values: 0.25 0.043058\n0.50 0.144850\n0.75 0.660125\nName: 4561, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.689892474137107, std values: 5.494003827347772, min values: 1.4959e-06, max values: 48.67, median values: 0.23941, and quantile values: 0.25 0.06667\n0.50 0.23941\n0.75 1.06515\nName: 4562, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6840429121867924, std values: 5.348003725770064, min values: 5.5857e-06, max values: 43.828, median values: 0.27862, and quantile values: 0.25 0.078714\n0.50 0.278620\n0.75 1.014225\nName: 4563, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3843333683616352, std values: 4.954730112643098, min values: 1.1913e-06, max values: 41.418, median values: 0.21578, and quantile values: 0.25 0.063495\n0.50 0.215780\n0.75 0.728445\nName: 4564, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4204977286787421, std values: 4.650546383581004, min values: 5.1832e-07, max values: 37.761, median values: 0.19151, and quantile values: 0.25 0.054474\n0.50 0.191510\n0.75 0.836020\nName: 4565, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2660957301490565, std values: 4.627512385114995, min values: 1.6026e-06, max values: 38.491, median values: 0.16322, and quantile values: 0.25 0.057917\n0.50 0.163220\n0.75 0.710625\nName: 4566, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4835610576938365, std values: 4.835507935168581, min values: 9.8332e-07, max values: 38.251, median values: 0.2443, and quantile values: 0.25 0.064598\n0.50 0.244300\n0.75 0.960190\nName: 4567, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5127804909382392, std values: 4.88724125104363, min values: 8.1948e-07, max values: 38.64, median values: 0.2659, and quantile values: 0.25 0.072108\n0.50 0.265900\n0.75 0.884580\nName: 4568, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3188027271908176, std values: 4.530743696286001, min values: 3.0734e-07, max values: 37.388, median values: 0.17263, and quantile values: 0.25 0.055133\n0.50 0.172630\n0.75 0.788695\nName: 4569, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.608952934015346, std values: 4.803024317694337, min values: 5.5294e-07, max values: 37.165, median values: 0.28134, and quantile values: 0.25 0.064326\n0.50 0.281340\n0.75 1.120400\nName: 4570, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.372728489037107, std values: 4.824970442486701, min values: 1.8467e-06, max values: 38.342, median values: 0.19768, and quantile values: 0.25 0.055407\n0.50 0.197680\n0.75 0.794965\nName: 4571, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.496288696137893, std values: 4.823183855093929, min values: 3.2625e-08, max values: 39.228, median values: 0.18995, and quantile values: 0.25 0.049934\n0.50 0.189950\n0.75 0.922805\nName: 4572, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.601439039442767, std values: 4.93033271362737, min values: 5.7588e-06, max values: 40.519, median values: 0.26897, and quantile values: 0.25 0.081951\n0.50 0.268970\n0.75 1.003805\nName: 4573, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6207980392685535, std values: 4.886721594108167, min values: 1.7405e-06, max values: 38.593, median values: 0.25967, and quantile values: 0.25 0.069681\n0.50 0.259670\n0.75 1.055950\nName: 4574, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.290568133737736, std values: 4.739759849922195, min values: 2.0736e-06, max values: 39.615, median values: 0.17631, and quantile values: 0.25 0.054261\n0.50 0.176310\n0.75 0.716225\nName: 4575, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3433821962484278, std values: 4.87186274697207, min values: 1.0689e-06, max values: 39.257, median values: 0.17407, and quantile values: 0.25 0.049177\n0.50 0.174070\n0.75 0.716905\nName: 4576, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5247605983386163, std values: 4.820637781675682, min values: 2.4154e-07, max values: 38.176, median values: 0.23318, and quantile values: 0.25 0.067591\n0.50 0.233180\n0.75 1.042350\nName: 4577, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.609463758244654, std values: 5.01699132482587, min values: 2.8083e-06, max values: 39.465, median values: 0.24987, and quantile values: 0.25 0.07465\n0.50 0.24987\n0.75 1.04595\nName: 4578, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.01162385601195, std values: 5.431134776037158, min values: 8.4759e-06, max values: 40.816, median values: 0.34195, and quantile values: 0.25 0.101115\n0.50 0.341950\n0.75 1.347500\nName: 4579, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4826598677389937, std values: 5.362942318044012, min values: 1.6631e-06, max values: 47.441, median values: 0.21866, and quantile values: 0.25 0.059575\n0.50 0.218660\n0.75 0.895540\nName: 4580, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5091695542454278, std values: 4.93091260780384, min values: 2.1453e-08, max values: 41.494, median values: 0.19486, and quantile values: 0.25 0.044868\n0.50 0.194860\n0.75 0.839300\nName: 4581, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4355576687461005, std values: 5.011522475764381, min values: 9.4623e-07, max values: 42.032, median values: 0.2183, and quantile values: 0.25 0.060705\n0.50 0.218300\n0.75 0.859065\nName: 4582, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5038424809314466, std values: 4.988352495720414, min values: 1.5333e-06, max values: 41.284, median values: 0.23482, and quantile values: 0.25 0.067881\n0.50 0.234820\n0.75 0.865410\nName: 4583, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5809573519886164, std values: 5.084642166415883, min values: 8.8619e-07, max values: 42.078, median values: 0.22548, and quantile values: 0.25 0.061599\n0.50 0.225480\n0.75 0.960445\nName: 4584, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.347511671954717, std values: 4.972360776809427, min values: 1.8534e-06, max values: 40.663, median values: 0.20214, and quantile values: 0.25 0.051140\n0.50 0.202140\n0.75 0.721535\nName: 4585, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5370249995591192, std values: 4.905060823688191, min values: 3.5216e-06, max values: 40.538, median values: 0.2376, and quantile values: 0.25 0.067081\n0.50 0.237600\n0.75 0.916350\nName: 4586, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6158846253515724, std values: 4.918420822989091, min values: 5.1406e-06, max values: 40.303, median values: 0.28304, and quantile values: 0.25 0.086162\n0.50 0.283040\n0.75 0.960735\nName: 4587, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4636916594251572, std values: 4.777478951675001, min values: 1.299e-06, max values: 38.57, median values: 0.21472, and quantile values: 0.25 0.065491\n0.50 0.214720\n0.75 0.913310\nName: 4588, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4640118015031445, std values: 5.073419816259845, min values: 2.4552e-06, max values: 41.813, median values: 0.22113, and quantile values: 0.25 0.06354\n0.50 0.22113\n0.75 0.87845\nName: 4589, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2140977640172201, std values: 4.832241242999874, min values: 3.8271e-08, max values: 42.429, median values: 0.1008, and quantile values: 0.25 0.022964\n0.50 0.100800\n0.75 0.495665\nName: 4590, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.213642386652264, std values: 4.401530677482135, min values: 3.3486e-07, max values: 36.911, median values: 0.13328, and quantile values: 0.25 0.044968\n0.50 0.133280\n0.75 0.637770\nName: 4591, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.617954750211069, std values: 5.07639675217206, min values: 7.5406e-07, max values: 42.112, median values: 0.26085, and quantile values: 0.25 0.071399\n0.50 0.260850\n0.75 1.099650\nName: 4592, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6741798271082389, std values: 5.1158307690838445, min values: 7.1911e-07, max values: 42.201, median values: 0.27407, and quantile values: 0.25 0.064853\n0.50 0.274070\n0.75 1.134700\nName: 4593, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4817973344078619, std values: 4.765547794201864, min values: 3.6015e-07, max values: 37.848, median values: 0.25147, and quantile values: 0.25 0.059560\n0.50 0.251470\n0.75 0.962355\nName: 4594, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.369820322636478, std values: 4.681066782426054, min values: 1.3644e-06, max values: 38.642, median values: 0.20023, and quantile values: 0.25 0.062277\n0.50 0.200230\n0.75 0.859215\nName: 4595, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5754469033354026, std values: 4.9443854689996, min values: 2.8929e-08, max values: 40.258, median values: 0.23125, and quantile values: 0.25 0.065929\n0.50 0.231250\n0.75 1.029500\nName: 4596, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3984730385445283, std values: 4.796155842701688, min values: 2.8274e-07, max values: 39.742, median values: 0.19987, and quantile values: 0.25 0.050043\n0.50 0.199870\n0.75 0.811555\nName: 4597, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.443290699087799, std values: 5.057613046479734, min values: 9.8906e-07, max values: 41.4, median values: 0.20264, and quantile values: 0.25 0.055075\n0.50 0.202640\n0.75 0.820250\nName: 4598, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3200177647819433, std values: 4.723747025206393, min values: 2.2419e-08, max values: 38.531, median values: 0.1361, and quantile values: 0.25 0.033398\n0.50 0.136100\n0.75 0.631355\nName: 4599, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7699660497597483, std values: 5.50619638717606, min values: 2.13e-06, max values: 46.766, median values: 0.29751, and quantile values: 0.25 0.082167\n0.50 0.297510\n0.75 1.139800\nName: 4600, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6298402060132076, std values: 5.13523129489911, min values: 1.1803e-06, max values: 42.134, median values: 0.26648, and quantile values: 0.25 0.061798\n0.50 0.266480\n0.75 1.021930\nName: 4601, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4362829428505661, std values: 5.154640537186223, min values: 7.7444e-07, max values: 44.812, median values: 0.22722, and quantile values: 0.25 0.061721\n0.50 0.227220\n0.75 0.743880\nName: 4602, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7516820715044026, std values: 5.3269618514063986, min values: 2.5736e-06, max values: 44.458, median values: 0.30257, and quantile values: 0.25 0.076496\n0.50 0.302570\n0.75 1.200800\nName: 4603, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.505433588818239, std values: 5.1295395114284315, min values: 2.7988e-06, max values: 41.981, median values: 0.20235, and quantile values: 0.25 0.064923\n0.50 0.202350\n0.75 0.868580\nName: 4604, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.423759561826478, std values: 4.9374337770633545, min values: 6.9461e-07, max values: 41.079, median values: 0.20229, and quantile values: 0.25 0.060637\n0.50 0.202290\n0.75 0.823155\nName: 4605, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4768622439371066, std values: 4.820529293372961, min values: 1.622e-06, max values: 39.278, median values: 0.22512, and quantile values: 0.25 0.063217\n0.50 0.225120\n0.75 0.907935\nName: 4606, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.605527645691824, std values: 5.024632499790787, min values: 3.6924e-06, max values: 39.657, median values: 0.2749, and quantile values: 0.25 0.08161\n0.50 0.27490\n0.75 0.96512\nName: 4607, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3480535686113209, std values: 5.044397779416618, min values: 1.0353e-06, max values: 43.061, median values: 0.16471, and quantile values: 0.25 0.050537\n0.50 0.164710\n0.75 0.699655\nName: 4608, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8441555142645596, std values: 5.236235530966701, min values: 4.1745e-08, max values: 43.507, median values: 0.25878, and quantile values: 0.25 0.061985\n0.50 0.258780\n0.75 1.365200\nName: 4609, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5218335627415094, std values: 5.187031413830793, min values: 1.3253e-06, max values: 43.825, median values: 0.21224, and quantile values: 0.25 0.061873\n0.50 0.212240\n0.75 0.905870\nName: 4610, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6370535823283017, std values: 5.049927983316134, min values: 1.507e-06, max values: 40.098, median values: 0.26819, and quantile values: 0.25 0.075584\n0.50 0.268190\n0.75 1.060950\nName: 4611, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.608805218772956, std values: 5.227940739712532, min values: 2.1138e-06, max values: 43.215, median values: 0.24573, and quantile values: 0.25 0.068231\n0.50 0.245730\n0.75 0.990260\nName: 4612, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3543220347806288, std values: 4.833760412858623, min values: 8.5732e-07, max values: 39.025, median values: 0.17238, and quantile values: 0.25 0.050627\n0.50 0.172380\n0.75 0.799485\nName: 4613, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.341976955738239, std values: 4.5772910045648105, min values: 2.3078e-07, max values: 37.434, median values: 0.18579, and quantile values: 0.25 0.058826\n0.50 0.185790\n0.75 0.818755\nName: 4614, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3764293795540883, std values: 4.912383997914958, min values: 2.1555e-06, max values: 39.795, median values: 0.20989, and quantile values: 0.25 0.057818\n0.50 0.209890\n0.75 0.796800\nName: 4615, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5920122118421383, std values: 4.884025663022485, min values: 3.7643e-06, max values: 40.321, median values: 0.25132, and quantile values: 0.25 0.070129\n0.50 0.251320\n0.75 0.986725\nName: 4616, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.297406655806327, std values: 4.683086506122948, min values: 1.9396e-08, max values: 38.52, median values: 0.17576, and quantile values: 0.25 0.040105\n0.50 0.175760\n0.75 0.659230\nName: 4617, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6548804578867926, std values: 5.195536306532616, min values: 3.405e-07, max values: 44.323, median values: 0.22641, and quantile values: 0.25 0.060183\n0.50 0.226410\n0.75 1.135600\nName: 4618, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3572891128805031, std values: 4.795394818744007, min values: 4.785e-07, max values: 39.288, median values: 0.20229, and quantile values: 0.25 0.055343\n0.50 0.202290\n0.75 0.809760\nName: 4619, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.045835506780088, std values: 4.422712406078938, min values: 1.9414e-08, max values: 37.037, median values: 0.093444, and quantile values: 0.25 0.027537\n0.50 0.093444\n0.75 0.501210\nName: 4620, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.360316055191195, std values: 4.8562018376067755, min values: 2.3475e-06, max values: 39.252, median values: 0.18822, and quantile values: 0.25 0.062298\n0.50 0.188220\n0.75 0.657280\nName: 4621, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.345628265691824, std values: 4.6215680753781845, min values: 1.2725e-06, max values: 38.019, median values: 0.20014, and quantile values: 0.25 0.066352\n0.50 0.200140\n0.75 0.787865\nName: 4622, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6536538377886791, std values: 4.976191412718399, min values: 2.1067e-06, max values: 39.622, median values: 0.26912, and quantile values: 0.25 0.071799\n0.50 0.269120\n0.75 1.164700\nName: 4623, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.633906887853962, std values: 4.890953075704141, min values: 3.1488e-07, max values: 38.527, median values: 0.25897, and quantile values: 0.25 0.072631\n0.50 0.258970\n0.75 1.148300\nName: 4624, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6952346345987421, std values: 5.041327031865205, min values: 1.3012e-06, max values: 39.601, median values: 0.25703, and quantile values: 0.25 0.074806\n0.50 0.257030\n0.75 1.117500\nName: 4625, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2487217107562891, std values: 4.6380338782039505, min values: 6.0375e-07, max values: 38.311, median values: 0.15224, and quantile values: 0.25 0.050823\n0.50 0.152240\n0.75 0.641675\nName: 4626, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3930767296328301, std values: 4.811485104879705, min values: 2.2421e-07, max values: 39.659, median values: 0.17146, and quantile values: 0.25 0.047998\n0.50 0.171460\n0.75 0.784140\nName: 4627, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4225578585748428, std values: 4.966136467801093, min values: 1.2953e-06, max values: 40.821, median values: 0.19257, and quantile values: 0.25 0.064241\n0.50 0.192570\n0.75 0.804595\nName: 4628, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4185996774615657, std values: 4.7504876009390555, min values: 2.8759e-08, max values: 38.307, median values: 0.19131, and quantile values: 0.25 0.047444\n0.50 0.191310\n0.75 0.799020\nName: 4629, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5122117575818865, std values: 4.591060638861833, min values: 5.7882e-07, max values: 38.158, median values: 0.22738, and quantile values: 0.25 0.061059\n0.50 0.227380\n0.75 1.040300\nName: 4630, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4790213249679245, std values: 4.797713685862584, min values: 2.4202e-06, max values: 40.408, median values: 0.24227, and quantile values: 0.25 0.069004\n0.50 0.242270\n0.75 0.917200\nName: 4631, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4928588183616354, std values: 4.879061080659833, min values: 1.2994e-06, max values: 38.683, median values: 0.2198, and quantile values: 0.25 0.061301\n0.50 0.219800\n0.75 0.896260\nName: 4632, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5505077884213836, std values: 5.029042046505023, min values: 2.13e-06, max values: 40.336, median values: 0.22438, and quantile values: 0.25 0.068253\n0.50 0.224380\n0.75 0.915365\nName: 4633, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.251308327773522, std values: 4.447188300320901, min values: 3.7219e-07, max values: 36.953, median values: 0.18069, and quantile values: 0.25 0.056111\n0.50 0.180690\n0.75 0.726395\nName: 4634, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3007095975446539, std values: 4.98879367866841, min values: 1.5231e-06, max values: 40.197, median values: 0.13943, and quantile values: 0.25 0.038892\n0.50 0.139430\n0.75 0.554015\nName: 4635, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3668612897358492, std values: 5.057553190456234, min values: 2.5766e-06, max values: 41.877, median values: 0.19727, and quantile values: 0.25 0.056369\n0.50 0.197270\n0.75 0.659980\nName: 4636, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3308996162257862, std values: 4.563478800597089, min values: 3.494e-06, max values: 39.982, median values: 0.18918, and quantile values: 0.25 0.053101\n0.50 0.189180\n0.75 0.745370\nName: 4637, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.505449664027673, std values: 5.051418030235596, min values: 2.0994e-06, max values: 41.733, median values: 0.26805, and quantile values: 0.25 0.06901\n0.50 0.26805\n0.75 0.92852\nName: 4638, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4424052825845721, std values: 4.739516607706292, min values: 2.3877e-08, max values: 37.482, median values: 0.18659, and quantile values: 0.25 0.047643\n0.50 0.186590\n0.75 0.851040\nName: 4639, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4523401010257861, std values: 4.952883642983127, min values: 3.0543e-06, max values: 40.289, median values: 0.2339, and quantile values: 0.25 0.071753\n0.50 0.233900\n0.75 0.815345\nName: 4640, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3518935769547171, std values: 4.801148912324011, min values: 1.0242e-06, max values: 39.095, median values: 0.19941, and quantile values: 0.25 0.056615\n0.50 0.199410\n0.75 0.758900\nName: 4641, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.249302088856434, std values: 4.478205682930922, min values: 1.6013e-08, max values: 35.448, median values: 0.13591, and quantile values: 0.25 0.033511\n0.50 0.135910\n0.75 0.623845\nName: 4642, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2845681684666668, std values: 4.548705115542561, min values: 5.512e-07, max values: 38.309, median values: 0.17905, and quantile values: 0.25 0.049103\n0.50 0.179050\n0.75 0.727795\nName: 4643, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6037916619251573, std values: 4.973842674210316, min values: 3.3983e-06, max values: 40.022, median values: 0.2924, and quantile values: 0.25 0.073495\n0.50 0.292400\n0.75 1.030135\nName: 4644, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4474066325314463, std values: 4.904788543876023, min values: 1.4097e-06, max values: 39.23, median values: 0.22426, and quantile values: 0.25 0.068763\n0.50 0.224260\n0.75 0.844900\nName: 4645, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3219559031043713, std values: 4.6801726151647625, min values: 2.7435e-08, max values: 37.357, median values: 0.19856, and quantile values: 0.25 0.047301\n0.50 0.198560\n0.75 0.788420\nName: 4646, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5764157006801258, std values: 4.908652567194564, min values: 7.3854e-07, max values: 38.919, median values: 0.25144, and quantile values: 0.25 0.070373\n0.50 0.251440\n0.75 1.050700\nName: 4647, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.370042409336478, std values: 5.010111209891243, min values: 1.2522e-06, max values: 41.286, median values: 0.20147, and quantile values: 0.25 0.052874\n0.50 0.201470\n0.75 0.765845\nName: 4648, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.496812969171585, std values: 4.918479357627108, min values: 2.0063e-08, max values: 41.474, median values: 0.20722, and quantile values: 0.25 0.042861\n0.50 0.207220\n0.75 0.849090\nName: 4649, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4218019327660376, std values: 5.003190045842029, min values: 1.8904e-06, max values: 40.876, median values: 0.22559, and quantile values: 0.25 0.054547\n0.50 0.225590\n0.75 0.775050\nName: 4650, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.480452380310692, std values: 5.107219521365433, min values: 2.9064e-06, max values: 41.226, median values: 0.217, and quantile values: 0.25 0.067626\n0.50 0.217000\n0.75 0.803765\nName: 4651, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5637374333037735, std values: 4.871568311593565, min values: 2.8198e-06, max values: 40.132, median values: 0.24891, and quantile values: 0.25 0.069192\n0.50 0.248910\n0.75 0.975815\nName: 4652, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6148167387553458, std values: 5.143892767622305, min values: 3.2494e-06, max values: 41.522, median values: 0.25357, and quantile values: 0.25 0.079719\n0.50 0.253570\n0.75 1.015900\nName: 4653, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3579811734899812, std values: 4.673049977710191, min values: 1.3637e-08, max values: 37.39, median values: 0.17321, and quantile values: 0.25 0.042251\n0.50 0.173210\n0.75 0.755350\nName: 4654, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3662188537503144, std values: 4.918502338675452, min values: 2.7089e-06, max values: 40.306, median values: 0.16654, and quantile values: 0.25 0.060100\n0.50 0.166540\n0.75 0.735415\nName: 4655, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.0448708586578612, std values: 6.047684136618014, min values: 2.6493e-06, max values: 55.44, median values: 0.35872, and quantile values: 0.25 0.092134\n0.50 0.358720\n0.75 1.405300\nName: 4656, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.644379391591824, std values: 5.163006516260979, min values: 2.3163e-06, max values: 42.053, median values: 0.26733, and quantile values: 0.25 0.07501\n0.50 0.26733\n0.75 1.06780\nName: 4657, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.455173113492453, std values: 4.919262227183735, min values: 2.1298e-06, max values: 39.853, median values: 0.20789, and quantile values: 0.25 0.070425\n0.50 0.207890\n0.75 0.855280\nName: 4658, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3440295063383647, std values: 4.850558788088095, min values: 1.8591e-06, max values: 38.982, median values: 0.16772, and quantile values: 0.25 0.048093\n0.50 0.167720\n0.75 0.715390\nName: 4659, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5770737792138365, std values: 5.052449344810097, min values: 1.5643e-06, max values: 41.44, median values: 0.24113, and quantile values: 0.25 0.072286\n0.50 0.241130\n0.75 0.995095\nName: 4660, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5999241644924527, std values: 4.932125447159092, min values: 1.7191e-06, max values: 38.851, median values: 0.28371, and quantile values: 0.25 0.080559\n0.50 0.283710\n0.75 1.048900\nName: 4661, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5590634045962892, std values: 4.974044329692802, min values: 8.2411e-07, max values: 40.385, median values: 0.25235, and quantile values: 0.25 0.064925\n0.50 0.252350\n0.75 1.014130\nName: 4662, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5298540811401258, std values: 5.060900787585091, min values: 6.1538e-07, max values: 42.589, median values: 0.23425, and quantile values: 0.25 0.064332\n0.50 0.234250\n0.75 0.953465\nName: 4663, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4018265833622638, std values: 4.835840685070928, min values: 1.3083e-06, max values: 38.611, median values: 0.18492, and quantile values: 0.25 0.058027\n0.50 0.184920\n0.75 0.825995\nName: 4664, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5722652886058492, std values: 5.007835234275727, min values: 8.1403e-07, max values: 41.636, median values: 0.26933, and quantile values: 0.25 0.060473\n0.50 0.269330\n0.75 0.981855\nName: 4665, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6528294700490564, std values: 5.071309031751766, min values: 6.0074e-06, max values: 40.859, median values: 0.27898, and quantile values: 0.25 0.069306\n0.50 0.278980\n0.75 1.025150\nName: 4666, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4139281161421384, std values: 4.844417061581225, min values: 3.1269e-06, max values: 40.904, median values: 0.22334, and quantile values: 0.25 0.064068\n0.50 0.223340\n0.75 0.771175\nName: 4667, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5521604451169808, std values: 4.94874802057098, min values: 2.5824e-06, max values: 39.175, median values: 0.27894, and quantile values: 0.25 0.075219\n0.50 0.278940\n0.75 0.988040\nName: 4668, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.54816755554717, std values: 4.775560795384574, min values: 2.9984e-06, max values: 39.905, median values: 0.23841, and quantile values: 0.25 0.073941\n0.50 0.238410\n0.75 0.994340\nName: 4669, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3890117002924527, std values: 4.820764093620613, min values: 3.0597e-06, max values: 40.052, median values: 0.18212, and quantile values: 0.25 0.057689\n0.50 0.182120\n0.75 0.702430\nName: 4670, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4463398104398744, std values: 4.760952053551421, min values: 7.0684e-07, max values: 38.517, median values: 0.23706, and quantile values: 0.25 0.055061\n0.50 0.237060\n0.75 0.858175\nName: 4671, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2506883990185846, std values: 4.435880141125833, min values: 2.8735e-08, max values: 36.265, median values: 0.18298, and quantile values: 0.25 0.043144\n0.50 0.182980\n0.75 0.758125\nName: 4672, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.420138773702327, std values: 4.6942327607558045, min values: 4.394e-08, max values: 37.352, median values: 0.18066, and quantile values: 0.25 0.046298\n0.50 0.180660\n0.75 0.902990\nName: 4673, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5563657952182577, std values: 4.935892168227055, min values: 1.4294e-08, max values: 41.348, median values: 0.18115, and quantile values: 0.25 0.044432\n0.50 0.181150\n0.75 0.870850\nName: 4674, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3764274621663521, std values: 4.559597550586135, min values: 1.2745e-07, max values: 37.491, median values: 0.2077, and quantile values: 0.25 0.054289\n0.50 0.207700\n0.75 0.825910\nName: 4675, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5326570135622644, std values: 4.743651706814105, min values: 2.5544e-06, max values: 38.773, median values: 0.25686, and quantile values: 0.25 0.071841\n0.50 0.256860\n0.75 1.069050\nName: 4676, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.407975456674717, std values: 4.741602718916344, min values: 9.2108e-07, max values: 38.893, median values: 0.19893, and quantile values: 0.25 0.066249\n0.50 0.198930\n0.75 0.840925\nName: 4677, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4231265104421382, std values: 4.903259685671506, min values: 3.6669e-06, max values: 40.382, median values: 0.20669, and quantile values: 0.25 0.061705\n0.50 0.206690\n0.75 0.763270\nName: 4678, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.323733145863459, std values: 4.540103427941423, min values: 3.4859e-07, max values: 37.428, median values: 0.18214, and quantile values: 0.25 0.048180\n0.50 0.182140\n0.75 0.762855\nName: 4679, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6292210471943396, std values: 5.121820562103906, min values: 2.6532e-06, max values: 41.62, median values: 0.25798, and quantile values: 0.25 0.075288\n0.50 0.257980\n0.75 1.086650\nName: 4680, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6029683998347801, std values: 5.00315703251119, min values: 6.8523e-07, max values: 40.439, median values: 0.25952, and quantile values: 0.25 0.070347\n0.50 0.259520\n0.75 1.065250\nName: 4681, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6835405479992456, std values: 5.06594320908899, min values: 6.7568e-07, max values: 40.617, median values: 0.27405, and quantile values: 0.25 0.074435\n0.50 0.274050\n0.75 1.155100\nName: 4682, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5945745834584903, std values: 5.006506596533039, min values: 3.2605e-06, max values: 39.82, median values: 0.24161, and quantile values: 0.25 0.066428\n0.50 0.241610\n0.75 1.047385\nName: 4683, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4019487267547168, std values: 5.035518601971928, min values: 2.1727e-06, max values: 41.386, median values: 0.21758, and quantile values: 0.25 0.056623\n0.50 0.217580\n0.75 0.807110\nName: 4684, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5230744490018866, std values: 5.081752224659249, min values: 2.5934e-06, max values: 41.013, median values: 0.24295, and quantile values: 0.25 0.064102\n0.50 0.242950\n0.75 0.834985\nName: 4685, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.519057853320126, std values: 5.048202529291511, min values: 1.8866e-06, max values: 41.347, median values: 0.24671, and quantile values: 0.25 0.061760\n0.50 0.246710\n0.75 0.931205\nName: 4686, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3675386059502515, std values: 4.874218076044232, min values: 1.841e-08, max values: 40.959, median values: 0.17, and quantile values: 0.25 0.047616\n0.50 0.170000\n0.75 0.761105\nName: 4687, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4187096757207547, std values: 4.830605302405146, min values: 3.5198e-06, max values: 40.55, median values: 0.20538, and quantile values: 0.25 0.065623\n0.50 0.205380\n0.75 0.787000\nName: 4688, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3593284758678552, std values: 4.6864592488872105, min values: 5.1489e-08, max values: 37.641, median values: 0.18625, and quantile values: 0.25 0.051805\n0.50 0.186250\n0.75 0.828535\nName: 4689, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5478639927138995, std values: 4.9473538905209065, min values: 6.5611e-07, max values: 40.585, median values: 0.26606, and quantile values: 0.25 0.06488\n0.50 0.26606\n0.75 1.02575\nName: 4690, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7738156477899374, std values: 5.224043578940252, min values: 5.047e-06, max values: 40.359, median values: 0.29265, and quantile values: 0.25 0.083929\n0.50 0.292650\n0.75 1.159500\nName: 4691, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4977177656421383, std values: 4.939032948612002, min values: 2.5808e-06, max values: 38.907, median values: 0.22455, and quantile values: 0.25 0.062608\n0.50 0.224550\n0.75 0.884800\nName: 4692, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4547205673490566, std values: 4.993183310672683, min values: 3.9024e-06, max values: 40.669, median values: 0.21473, and quantile values: 0.25 0.066534\n0.50 0.214730\n0.75 0.802340\nName: 4693, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4664463694157233, std values: 5.044005445508214, min values: 1.3909e-06, max values: 41.514, median values: 0.19187, and quantile values: 0.25 0.05594\n0.50 0.19187\n0.75 0.85607\nName: 4694, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4764450668169813, std values: 5.052096355988026, min values: 1.5824e-06, max values: 41.901, median values: 0.22234, and quantile values: 0.25 0.055782\n0.50 0.222340\n0.75 0.813400\nName: 4695, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7133913910150946, std values: 4.994445049518754, min values: 2.5571e-06, max values: 39.31, median values: 0.30684, and quantile values: 0.25 0.081379\n0.50 0.306840\n0.75 1.184700\nName: 4696, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7572848345522012, std values: 5.15350689846651, min values: 1.5257e-06, max values: 41.465, median values: 0.28321, and quantile values: 0.25 0.081757\n0.50 0.283210\n0.75 1.251000\nName: 4697, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3849440313526415, std values: 4.892953442998935, min values: 3.8478e-07, max values: 41.658, median values: 0.19763, and quantile values: 0.25 0.049184\n0.50 0.197630\n0.75 0.815250\nName: 4698, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6558119060886793, std values: 5.212355294415782, min values: 5.107e-06, max values: 41.292, median values: 0.27265, and quantile values: 0.25 0.077276\n0.50 0.272650\n0.75 0.965065\nName: 4699, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7024821670974843, std values: 5.015012250263948, min values: 3.0125e-06, max values: 39.713, median values: 0.28673, and quantile values: 0.25 0.08130\n0.50 0.28673\n0.75 1.16760\nName: 4700, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6774442864050314, std values: 5.258503743420911, min values: 1.7323e-06, max values: 44.645, median values: 0.28217, and quantile values: 0.25 0.086982\n0.50 0.282170\n0.75 1.111400\nName: 4701, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6519291979742137, std values: 5.074188765550227, min values: 2.2131e-06, max values: 40.477, median values: 0.27162, and quantile values: 0.25 0.070464\n0.50 0.271620\n0.75 1.083300\nName: 4702, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.513171104157107, std values: 4.848476467806541, min values: 4.2808e-07, max values: 38.582, median values: 0.25295, and quantile values: 0.25 0.05924\n0.50 0.25295\n0.75 1.00508\nName: 4703, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4328756037327042, std values: 4.720539102870468, min values: 2.1413e-06, max values: 38.952, median values: 0.24959, and quantile values: 0.25 0.065383\n0.50 0.249590\n0.75 0.902245\nName: 4704, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5197620258654088, std values: 5.093734512120457, min values: 2.4708e-06, max values: 41.287, median values: 0.23852, and quantile values: 0.25 0.072186\n0.50 0.238520\n0.75 0.910095\nName: 4705, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2724433730414466, std values: 4.60768928390141, min values: 5.6779e-07, max values: 37.421, median values: 0.16566, and quantile values: 0.25 0.046663\n0.50 0.165660\n0.75 0.684205\nName: 4706, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.487971654538176, std values: 4.88347717955785, min values: 4.5317e-07, max values: 40.125, median values: 0.22263, and quantile values: 0.25 0.064787\n0.50 0.222630\n0.75 0.910875\nName: 4707, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6161876511056603, std values: 5.046167578409503, min values: 2.7848e-06, max values: 40.11, median values: 0.27515, and quantile values: 0.25 0.084158\n0.50 0.275150\n0.75 1.037890\nName: 4708, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4579589670756603, std values: 5.006159912212551, min values: 2.4123e-07, max values: 42.303, median values: 0.22535, and quantile values: 0.25 0.055044\n0.50 0.225350\n0.75 0.867400\nName: 4709, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2939880621765472, std values: 4.663107034321548, min values: 1.9771e-08, max values: 37.842, median values: 0.15307, and quantile values: 0.25 0.035844\n0.50 0.153070\n0.75 0.652690\nName: 4710, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4846654040786162, std values: 4.914792924948421, min values: 3.0575e-06, max values: 40.264, median values: 0.24217, and quantile values: 0.25 0.070408\n0.50 0.242170\n0.75 0.877690\nName: 4711, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.353812820162264, std values: 4.505914626304384, min values: 1.3556e-06, max values: 39.065, median values: 0.19279, and quantile values: 0.25 0.056342\n0.50 0.192790\n0.75 0.798230\nName: 4712, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9083636304723273, std values: 5.3161449449250355, min values: 1.8777e-06, max values: 42.28, median values: 0.3186, and quantile values: 0.25 0.086513\n0.50 0.318600\n0.75 1.424050\nName: 4713, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3563291471723269, std values: 5.176119225307483, min values: 1.904e-06, max values: 44.346, median values: 0.17794, and quantile values: 0.25 0.052311\n0.50 0.177940\n0.75 0.682700\nName: 4714, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7731452017559748, std values: 5.051113010040288, min values: 2.3934e-06, max values: 39.153, median values: 0.31272, and quantile values: 0.25 0.091342\n0.50 0.312720\n0.75 1.235450\nName: 4715, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.426430366954088, std values: 4.846184596277953, min values: 1.2962e-06, max values: 39.588, median values: 0.2241, and quantile values: 0.25 0.064147\n0.50 0.224100\n0.75 0.842820\nName: 4716, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6155044880920755, std values: 5.033353205831, min values: 7.5184e-07, max values: 40.894, median values: 0.2705, and quantile values: 0.25 0.07455\n0.50 0.27050\n0.75 1.07870\nName: 4717, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6231621403333334, std values: 5.076810295658199, min values: 2.4606e-06, max values: 40.463, median values: 0.26106, and quantile values: 0.25 0.074083\n0.50 0.261060\n0.75 1.038315\nName: 4718, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7088998878867927, std values: 5.187706486152525, min values: 4.2152e-06, max values: 40.776, median values: 0.27622, and quantile values: 0.25 0.086398\n0.50 0.276220\n0.75 1.088850\nName: 4719, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.476975377907107, std values: 4.869463583667445, min values: 5.1493e-07, max values: 39.239, median values: 0.20972, and quantile values: 0.25 0.061116\n0.50 0.209720\n0.75 0.926350\nName: 4720, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.391626963560692, std values: 4.9007821758108845, min values: 8.6005e-07, max values: 40.248, median values: 0.18438, and quantile values: 0.25 0.056325\n0.50 0.184380\n0.75 0.804185\nName: 4721, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6216278831654087, std values: 4.922574379266837, min values: 3.1876e-06, max values: 40.1, median values: 0.24914, and quantile values: 0.25 0.07128\n0.50 0.24914\n0.75 1.02820\nName: 4722, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.593175958370377, std values: 4.974498491314335, min values: 5.6139e-07, max values: 40.497, median values: 0.24297, and quantile values: 0.25 0.067761\n0.50 0.242970\n0.75 0.966140\nName: 4723, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6196752865390753, std values: 4.923306142868563, min values: 2.4893e-08, max values: 40.078, median values: 0.26563, and quantile values: 0.25 0.059244\n0.50 0.265630\n0.75 1.042850\nName: 4724, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5106436376484278, std values: 4.938999831921125, min values: 3.3584e-06, max values: 40.571, median values: 0.22675, and quantile values: 0.25 0.067119\n0.50 0.226750\n0.75 0.932240\nName: 4725, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5787190416735346, std values: 4.931890316013366, min values: 3.4642e-08, max values: 39.954, median values: 0.21281, and quantile values: 0.25 0.055729\n0.50 0.212810\n0.75 1.102750\nName: 4726, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7323659059981134, std values: 4.8287615691678365, min values: 3.8247e-06, max values: 39.91, median values: 0.30863, and quantile values: 0.25 0.082486\n0.50 0.308630\n0.75 1.214550\nName: 4727, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3326573055216981, std values: 4.891348234346413, min values: 4.6425e-07, max values: 40.493, median values: 0.1746, and quantile values: 0.25 0.049087\n0.50 0.174600\n0.75 0.684885\nName: 4728, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5943694017987422, std values: 4.933148478070718, min values: 5.4951e-06, max values: 40.643, median values: 0.26639, and quantile values: 0.25 0.085442\n0.50 0.266390\n0.75 0.992660\nName: 4729, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4459334859694906, std values: 4.991559815072893, min values: 2.8919e-08, max values: 42.637, median values: 0.20526, and quantile values: 0.25 0.053513\n0.50 0.205260\n0.75 0.801440\nName: 4730, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7892155303144652, std values: 5.257349970342697, min values: 5.8628e-06, max values: 40.727, median values: 0.31702, and quantile values: 0.25 0.087211\n0.50 0.317020\n0.75 1.102900\nName: 4731, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3640306604081762, std values: 4.957137856220886, min values: 2.7048e-06, max values: 40.187, median values: 0.1886, and quantile values: 0.25 0.057321\n0.50 0.188600\n0.75 0.737190\nName: 4732, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4350298377270443, std values: 4.91854780824647, min values: 1.0513e-06, max values: 39.907, median values: 0.19683, and quantile values: 0.25 0.062054\n0.50 0.196830\n0.75 0.843690\nName: 4733, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4947979796761008, std values: 4.704990534007344, min values: 1.7857e-06, max values: 38.33, median values: 0.25394, and quantile values: 0.25 0.071534\n0.50 0.253940\n0.75 0.956590\nName: 4734, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.822154809634591, std values: 5.341915310536089, min values: 3.1196e-06, max values: 42.999, median values: 0.29994, and quantile values: 0.25 0.078602\n0.50 0.299940\n0.75 1.245450\nName: 4735, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6383597582561005, std values: 4.862706234168898, min values: 9.4742e-07, max values: 38.555, median values: 0.26171, and quantile values: 0.25 0.07218\n0.50 0.26171\n0.75 1.11435\nName: 4736, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1448736295466666, std values: 4.486274389346942, min values: 6.5722e-07, max values: 37.943, median values: 0.13733, and quantile values: 0.25 0.041774\n0.50 0.137330\n0.75 0.573055\nName: 4737, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4905696802880504, std values: 4.888456405660489, min values: 1.3876e-06, max values: 38.899, median values: 0.21783, and quantile values: 0.25 0.068255\n0.50 0.217830\n0.75 0.880365\nName: 4738, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7161658526490566, std values: 5.011057624600707, min values: 4.018e-06, max values: 39.511, median values: 0.31372, and quantile values: 0.25 0.089305\n0.50 0.313720\n0.75 1.222850\nName: 4739, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.316061790001258, std values: 4.757184973078929, min values: 2.3211e-06, max values: 39.572, median values: 0.19486, and quantile values: 0.25 0.060830\n0.50 0.194860\n0.75 0.700395\nName: 4740, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3146967109515721, std values: 4.658834801589706, min values: 2.581e-07, max values: 37.398, median values: 0.1646, and quantile values: 0.25 0.056887\n0.50 0.164600\n0.75 0.733070\nName: 4741, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.438716334625157, std values: 4.869245441843026, min values: 1.0548e-06, max values: 38.856, median values: 0.22211, and quantile values: 0.25 0.062973\n0.50 0.222110\n0.75 0.809875\nName: 4742, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7875200855861637, std values: 5.247471137186246, min values: 3.9181e-06, max values: 41.888, median values: 0.31256, and quantile values: 0.25 0.090498\n0.50 0.312560\n0.75 1.249000\nName: 4743, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4852289721113208, std values: 4.988626219164375, min values: 2.7412e-06, max values: 40.397, median values: 0.21894, and quantile values: 0.25 0.067774\n0.50 0.218940\n0.75 0.890240\nName: 4744, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5977199666509434, std values: 5.182970615142972, min values: 3.5751e-06, max values: 42.752, median values: 0.23922, and quantile values: 0.25 0.069864\n0.50 0.239220\n0.75 0.965125\nName: 4745, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4978807620157233, std values: 5.000123302677907, min values: 2.6052e-06, max values: 39.671, median values: 0.22115, and quantile values: 0.25 0.064044\n0.50 0.221150\n0.75 0.865675\nName: 4746, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4039878483291195, std values: 4.761837771654233, min values: 1.2483e-07, max values: 37.981, median values: 0.20354, and quantile values: 0.25 0.049641\n0.50 0.203540\n0.75 0.834790\nName: 4747, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.506245217873585, std values: 5.192026487444029, min values: 3.1254e-06, max values: 42.734, median values: 0.24085, and quantile values: 0.25 0.069093\n0.50 0.240850\n0.75 0.895970\nName: 4748, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.537058931810692, std values: 5.293297011738821, min values: 1.7048e-06, max values: 45.18, median values: 0.21905, and quantile values: 0.25 0.052855\n0.50 0.219050\n0.75 0.881130\nName: 4749, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4076764765623269, std values: 4.740146771529153, min values: 8.1491e-07, max values: 37.08, median values: 0.17429, and quantile values: 0.25 0.049854\n0.50 0.174290\n0.75 0.721150\nName: 4750, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3281766527603773, std values: 4.576318512290319, min values: 2.3119e-06, max values: 38.863, median values: 0.19085, and quantile values: 0.25 0.059996\n0.50 0.190850\n0.75 0.737330\nName: 4751, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4360741841676101, std values: 4.728711075711358, min values: 2.2355e-07, max values: 37.218, median values: 0.1784, and quantile values: 0.25 0.047467\n0.50 0.178400\n0.75 0.848520\nName: 4752, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8899413531703144, std values: 5.167374453749041, min values: 3.1128e-07, max values: 40.412, median values: 0.34421, and quantile values: 0.25 0.083673\n0.50 0.344210\n0.75 1.350600\nName: 4753, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.413401666706478, std values: 4.8565467436924346, min values: 1.613e-08, max values: 40.174, median values: 0.19893, and quantile values: 0.25 0.05440\n0.50 0.19893\n0.75 0.80734\nName: 4754, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5503555125220125, std values: 5.029320288507489, min values: 1.1037e-06, max values: 40.592, median values: 0.24602, and quantile values: 0.25 0.073816\n0.50 0.246020\n0.75 0.974880\nName: 4755, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.325450073423132, std values: 4.772536521299269, min values: 5.5828e-08, max values: 39.907, median values: 0.19134, and quantile values: 0.25 0.046145\n0.50 0.191340\n0.75 0.753060\nName: 4756, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4617493245270439, std values: 4.833182543529103, min values: 2.6334e-06, max values: 40.761, median values: 0.22359, and quantile values: 0.25 0.065262\n0.50 0.223590\n0.75 0.857575\nName: 4757, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4110264177685534, std values: 4.907237118464909, min values: 6.841e-07, max values: 40.478, median values: 0.21292, and quantile values: 0.25 0.060121\n0.50 0.212920\n0.75 0.799285\nName: 4758, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2422781316708176, std values: 4.594524166501022, min values: 6.2536e-07, max values: 38.469, median values: 0.16297, and quantile values: 0.25 0.056448\n0.50 0.162970\n0.75 0.657650\nName: 4759, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4484335241283017, std values: 4.820157458574366, min values: 1.0898e-06, max values: 38.439, median values: 0.23673, and quantile values: 0.25 0.069472\n0.50 0.236730\n0.75 0.910415\nName: 4760, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5411281204339622, std values: 4.989627396718391, min values: 1.2653e-06, max values: 39.953, median values: 0.28428, and quantile values: 0.25 0.069876\n0.50 0.284280\n0.75 0.960210\nName: 4761, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7079611575962264, std values: 5.20931814319278, min values: 2.9352e-06, max values: 41.551, median values: 0.32524, and quantile values: 0.25 0.079044\n0.50 0.325240\n0.75 1.073750\nName: 4762, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3873808005615722, std values: 4.696574501663403, min values: 3.7699e-07, max values: 38.214, median values: 0.18121, and quantile values: 0.25 0.047293\n0.50 0.181210\n0.75 0.879970\nName: 4763, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3016292305704404, std values: 4.832906523138089, min values: 4.774e-07, max values: 39.673, median values: 0.17467, and quantile values: 0.25 0.049096\n0.50 0.174670\n0.75 0.726825\nName: 4764, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.464420639013711, std values: 4.786551803920618, min values: 8.9298e-07, max values: 38.13, median values: 0.18215, and quantile values: 0.25 0.053539\n0.50 0.182150\n0.75 0.834150\nName: 4765, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3816239719388679, std values: 4.807260145728708, min values: 2.1948e-07, max values: 38.607, median values: 0.18058, and quantile values: 0.25 0.052666\n0.50 0.180580\n0.75 0.811790\nName: 4766, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.901219973784277, std values: 5.31167186577138, min values: 5.4118e-06, max values: 41.28, median values: 0.34345, and quantile values: 0.25 0.10348\n0.50 0.34345\n0.75 1.33355\nName: 4767, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.463870908309434, std values: 4.688500807144975, min values: 1.099e-06, max values: 38.037, median values: 0.24046, and quantile values: 0.25 0.069955\n0.50 0.240460\n0.75 0.907525\nName: 4768, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4394467387842769, std values: 4.709898554807397, min values: 2.2223e-06, max values: 40.021, median values: 0.2211, and quantile values: 0.25 0.069049\n0.50 0.221100\n0.75 0.885425\nName: 4769, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5184633701032706, std values: 4.715783881726187, min values: 5.4072e-07, max values: 37.398, median values: 0.22388, and quantile values: 0.25 0.070362\n0.50 0.223880\n0.75 0.978595\nName: 4770, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5535099176792453, std values: 5.078631356026398, min values: 1.0645e-06, max values: 42.491, median values: 0.23506, and quantile values: 0.25 0.067009\n0.50 0.235060\n0.75 0.967305\nName: 4771, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5706703740031447, std values: 5.111088584445139, min values: 3.945e-07, max values: 43.883, median values: 0.2584, and quantile values: 0.25 0.062157\n0.50 0.258400\n0.75 1.004330\nName: 4772, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.403398386845283, std values: 5.154051127825138, min values: 2.1905e-06, max values: 43.646, median values: 0.1879, and quantile values: 0.25 0.066028\n0.50 0.187900\n0.75 0.766200\nName: 4773, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.363347516389434, std values: 4.9496340177637235, min values: 2.9898e-07, max values: 42.627, median values: 0.17638, and quantile values: 0.25 0.047292\n0.50 0.176380\n0.75 0.709075\nName: 4774, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.268904799387, std values: 4.533232916856877, min values: 1.7943e-08, max values: 35.793, median values: 0.15858, and quantile values: 0.25 0.037426\n0.50 0.158580\n0.75 0.674915\nName: 4775, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5025297533069182, std values: 4.904734026544234, min values: 3.4018e-06, max values: 39.955, median values: 0.22031, and quantile values: 0.25 0.067656\n0.50 0.220310\n0.75 0.853650\nName: 4776, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6297014639962262, std values: 5.199292328203129, min values: 3.1056e-06, max values: 42.908, median values: 0.25186, and quantile values: 0.25 0.076830\n0.50 0.251860\n0.75 1.014955\nName: 4777, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5022535802415093, std values: 4.859783758219043, min values: 2.0766e-06, max values: 38.497, median values: 0.24046, and quantile values: 0.25 0.078806\n0.50 0.240460\n0.75 0.979885\nName: 4778, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4655248010531448, std values: 4.825390135903796, min values: 4.1475e-07, max values: 38.963, median values: 0.18836, and quantile values: 0.25 0.061906\n0.50 0.188360\n0.75 0.842235\nName: 4779, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4304581222295598, std values: 5.055601279332107, min values: 1.2407e-06, max values: 42.177, median values: 0.19904, and quantile values: 0.25 0.05634\n0.50 0.19904\n0.75 0.80485\nName: 4780, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6806801182314464, std values: 4.853685939164853, min values: 3.3546e-06, max values: 38.354, median values: 0.31231, and quantile values: 0.25 0.086514\n0.50 0.312310\n0.75 1.183550\nName: 4781, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.53802054131761, std values: 4.822420602387652, min values: 1.8804e-06, max values: 39.568, median values: 0.25351, and quantile values: 0.25 0.072914\n0.50 0.253510\n0.75 1.005600\nName: 4782, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4618349552836478, std values: 4.895613736236786, min values: 1.6898e-06, max values: 39.108, median values: 0.25644, and quantile values: 0.25 0.070012\n0.50 0.256440\n0.75 0.862725\nName: 4783, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3526390111344655, std values: 4.681542888175978, min values: 5.7528e-07, max values: 37.842, median values: 0.20481, and quantile values: 0.25 0.051757\n0.50 0.204810\n0.75 0.803245\nName: 4784, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3482564602062892, std values: 4.9022360972311985, min values: 1.1415e-06, max values: 40.249, median values: 0.15809, and quantile values: 0.25 0.049798\n0.50 0.158090\n0.75 0.728425\nName: 4785, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7229657600792452, std values: 5.149254394185496, min values: 1.7756e-06, max values: 41.252, median values: 0.28411, and quantile values: 0.25 0.078634\n0.50 0.284110\n0.75 1.239150\nName: 4786, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.275908983016604, std values: 4.794356270007903, min values: 7.5054e-07, max values: 38.898, median values: 0.18608, and quantile values: 0.25 0.055536\n0.50 0.186080\n0.75 0.718445\nName: 4787, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.553828504011132, std values: 4.956114500694346, min values: 6.1907e-07, max values: 40.434, median values: 0.25128, and quantile values: 0.25 0.069268\n0.50 0.251280\n0.75 1.011245\nName: 4788, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4132298718660379, std values: 5.011596048260524, min values: 1.7791e-06, max values: 41.008, median values: 0.19637, and quantile values: 0.25 0.060327\n0.50 0.196370\n0.75 0.785225\nName: 4789, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.211591930390566, std values: 4.619909311622821, min values: 2.9593e-06, max values: 39.796, median values: 0.15025, and quantile values: 0.25 0.048964\n0.50 0.150250\n0.75 0.571330\nName: 4790, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3378377680867046, std values: 4.720470220397926, min values: 2.1706e-08, max values: 38.817, median values: 0.18992, and quantile values: 0.25 0.041460\n0.50 0.189920\n0.75 0.726875\nName: 4791, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.415995411523742, std values: 4.800041347377659, min values: 1.9475e-08, max values: 38.871, median values: 0.19877, and quantile values: 0.25 0.051665\n0.50 0.198770\n0.75 0.854210\nName: 4792, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.811604032991824, std values: 5.055095183413193, min values: 3.8693e-06, max values: 39.254, median values: 0.33758, and quantile values: 0.25 0.091988\n0.50 0.337580\n0.75 1.233550\nName: 4793, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.210342678254088, std values: 4.84265664034712, min values: 1.055e-06, max values: 39.585, median values: 0.14777, and quantile values: 0.25 0.042048\n0.50 0.147770\n0.75 0.566025\nName: 4794, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6295239313413836, std values: 5.137005352449178, min values: 3.6278e-07, max values: 43.25, median values: 0.24946, and quantile values: 0.25 0.062595\n0.50 0.249460\n0.75 1.057850\nName: 4795, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.899203354166038, std values: 5.26688852660014, min values: 4.2021e-06, max values: 40.47, median values: 0.3285, and quantile values: 0.25 0.10329\n0.50 0.32850\n0.75 1.32225\nName: 4796, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6257900829188678, std values: 4.872434925483557, min values: 1.9374e-06, max values: 39.021, median values: 0.26875, and quantile values: 0.25 0.076012\n0.50 0.268750\n0.75 1.142100\nName: 4797, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4382158187327043, std values: 4.93119897201292, min values: 1.1595e-06, max values: 40.29, median values: 0.1917, and quantile values: 0.25 0.060736\n0.50 0.191700\n0.75 0.823810\nName: 4798, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2424328570591197, std values: 4.467469562375389, min values: 1.1648e-06, max values: 37.926, median values: 0.1728, and quantile values: 0.25 0.052957\n0.50 0.172800\n0.75 0.701370\nName: 4799, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4157387145577862, std values: 4.684301590912682, min values: 1.5238e-08, max values: 36.891, median values: 0.18641, and quantile values: 0.25 0.050287\n0.50 0.186410\n0.75 0.834580\nName: 4800, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3535164944703144, std values: 4.844052600366791, min values: 6.4528e-07, max values: 39.731, median values: 0.1976, and quantile values: 0.25 0.052816\n0.50 0.197600\n0.75 0.787505\nName: 4801, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7516185979704404, std values: 5.300536766392216, min values: 4.3632e-06, max values: 42.169, median values: 0.31548, and quantile values: 0.25 0.093395\n0.50 0.315480\n0.75 1.109500\nName: 4802, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.478104979925786, std values: 5.057730939647875, min values: 1.595e-06, max values: 42.015, median values: 0.20522, and quantile values: 0.25 0.065954\n0.50 0.205220\n0.75 0.877420\nName: 4803, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6989962167320125, std values: 5.10890399013134, min values: 6.2759e-07, max values: 41.19, median values: 0.28563, and quantile values: 0.25 0.066313\n0.50 0.285630\n0.75 1.164450\nName: 4804, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6685802943251573, std values: 5.078108533985547, min values: 2.4382e-06, max values: 40.355, median values: 0.30745, and quantile values: 0.25 0.080182\n0.50 0.307450\n0.75 1.121150\nName: 4805, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5114996694364777, std values: 4.917024695578701, min values: 2.4324e-06, max values: 39.98, median values: 0.27052, and quantile values: 0.25 0.062426\n0.50 0.270520\n0.75 0.934690\nName: 4806, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.534238538127044, std values: 5.284715153674865, min values: 1.3523e-06, max values: 45.886, median values: 0.19346, and quantile values: 0.25 0.055431\n0.50 0.193460\n0.75 0.881000\nName: 4807, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5712679653251573, std values: 4.953308038711613, min values: 2.6312e-06, max values: 39.923, median values: 0.26693, and quantile values: 0.25 0.066069\n0.50 0.266930\n0.75 0.995120\nName: 4808, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3867413759100629, std values: 4.8889310632514675, min values: 1.3727e-06, max values: 39.637, median values: 0.18424, and quantile values: 0.25 0.061692\n0.50 0.184240\n0.75 0.801505\nName: 4809, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.513039588797736, std values: 4.773929286584241, min values: 4.8244e-07, max values: 39.007, median values: 0.22994, and quantile values: 0.25 0.06242\n0.50 0.22994\n0.75 1.00668\nName: 4810, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4622161706679246, std values: 4.923922822517893, min values: 4.3014e-06, max values: 40.203, median values: 0.21682, and quantile values: 0.25 0.053048\n0.50 0.216820\n0.75 0.799720\nName: 4811, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4934564741999998, std values: 4.922893262570728, min values: 3.203e-06, max values: 39.861, median values: 0.24189, and quantile values: 0.25 0.067860\n0.50 0.241890\n0.75 0.906985\nName: 4812, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4410192476145283, std values: 4.943184577567271, min values: 7.0441e-07, max values: 41.332, median values: 0.21452, and quantile values: 0.25 0.061185\n0.50 0.214520\n0.75 0.808930\nName: 4813, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3649580213578618, std values: 5.014624932590917, min values: 2.3672e-06, max values: 40.972, median values: 0.18868, and quantile values: 0.25 0.053675\n0.50 0.188680\n0.75 0.716195\nName: 4814, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4720762807773584, std values: 4.955490431353696, min values: 2.7575e-06, max values: 41.091, median values: 0.21086, and quantile values: 0.25 0.063659\n0.50 0.210860\n0.75 0.861885\nName: 4815, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4286079225069184, std values: 4.901680852407445, min values: 3.4229e-06, max values: 41.027, median values: 0.21387, and quantile values: 0.25 0.065535\n0.50 0.213870\n0.75 0.824795\nName: 4816, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5332290567748428, std values: 5.136777270440268, min values: 1.0408e-06, max values: 44.053, median values: 0.23537, and quantile values: 0.25 0.065908\n0.50 0.235370\n0.75 0.910600\nName: 4817, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5806998134169812, std values: 5.010921907976088, min values: 2.2796e-06, max values: 39.987, median values: 0.25874, and quantile values: 0.25 0.076437\n0.50 0.258740\n0.75 1.005345\nName: 4818, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4379301318037736, std values: 5.026044208080177, min values: 1.3848e-06, max values: 41.788, median values: 0.19481, and quantile values: 0.25 0.062115\n0.50 0.194810\n0.75 0.809735\nName: 4819, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.66844380777044, std values: 5.012116994241863, min values: 3.8868e-06, max values: 39.917, median values: 0.2675, and quantile values: 0.25 0.076258\n0.50 0.267500\n0.75 1.105700\nName: 4820, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5944917869388053, std values: 5.204270289242708, min values: 7.0747e-07, max values: 44.982, median values: 0.25445, and quantile values: 0.25 0.067882\n0.50 0.254450\n0.75 1.033500\nName: 4821, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.394270996283019, std values: 4.847103970939506, min values: 2.369e-06, max values: 40.122, median values: 0.23548, and quantile values: 0.25 0.067039\n0.50 0.235480\n0.75 0.796205\nName: 4822, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6020010946188679, std values: 4.999606270288145, min values: 5.5238e-06, max values: 41.172, median values: 0.26539, and quantile values: 0.25 0.072099\n0.50 0.265390\n0.75 0.900705\nName: 4823, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4555164868203145, std values: 5.016494770641109, min values: 8.6273e-07, max values: 42.191, median values: 0.21379, and quantile values: 0.25 0.055249\n0.50 0.213790\n0.75 0.826375\nName: 4824, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3425476614195977, std values: 4.787076127977152, min values: 2.2886e-08, max values: 38.928, median values: 0.17065, and quantile values: 0.25 0.048105\n0.50 0.170650\n0.75 0.771705\nName: 4825, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5974134128355346, std values: 5.0018413771785655, min values: 7.8575e-07, max values: 41.023, median values: 0.25591, and quantile values: 0.25 0.06635\n0.50 0.25591\n0.75 1.02024\nName: 4826, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5898365371728935, std values: 5.110085245817053, min values: 9.4019e-07, max values: 42.472, median values: 0.25769, and quantile values: 0.25 0.068114\n0.50 0.257690\n0.75 1.005340\nName: 4827, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4360827679421384, std values: 4.618438880060351, min values: 2.1251e-06, max values: 39.26, median values: 0.23042, and quantile values: 0.25 0.066468\n0.50 0.230420\n0.75 0.900435\nName: 4828, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5021188040245286, std values: 5.262634124523065, min values: 1.3351e-06, max values: 46.411, median values: 0.21645, and quantile values: 0.25 0.064516\n0.50 0.216450\n0.75 0.827625\nName: 4829, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4750165110207547, std values: 4.933196323924009, min values: 1.9751e-06, max values: 39.561, median values: 0.22214, and quantile values: 0.25 0.055856\n0.50 0.222140\n0.75 0.934765\nName: 4830, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3016854146144654, std values: 4.739468428082342, min values: 1.9698e-06, max values: 39.631, median values: 0.17488, and quantile values: 0.25 0.049905\n0.50 0.174880\n0.75 0.704085\nName: 4831, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.570098966911761, std values: 4.9067809919334895, min values: 8.3337e-07, max values: 39.039, median values: 0.25544, and quantile values: 0.25 0.071242\n0.50 0.255440\n0.75 1.032430\nName: 4832, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5366476448691195, std values: 5.21679009703886, min values: 8.8959e-07, max values: 45.024, median values: 0.20024, and quantile values: 0.25 0.063503\n0.50 0.200240\n0.75 0.917005\nName: 4833, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5054210576786167, std values: 5.015150396459526, min values: 1.9465e-06, max values: 40.679, median values: 0.22271, and quantile values: 0.25 0.071677\n0.50 0.222710\n0.75 0.912155\nName: 4834, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4081451008152204, std values: 4.9280220892805335, min values: 4.2532e-07, max values: 41.877, median values: 0.19289, and quantile values: 0.25 0.054025\n0.50 0.192890\n0.75 0.786635\nName: 4835, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3505003638673585, std values: 4.484616573260861, min values: 1.0931e-07, max values: 37.431, median values: 0.21543, and quantile values: 0.25 0.050905\n0.50 0.215430\n0.75 0.812280\nName: 4836, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3417851865015724, std values: 4.899842463831538, min values: 1.4005e-07, max values: 41.819, median values: 0.17811, and quantile values: 0.25 0.058427\n0.50 0.178110\n0.75 0.720335\nName: 4837, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3864029708803836, std values: 4.599535913091348, min values: 3.7411e-08, max values: 36.917, median values: 0.18353, and quantile values: 0.25 0.050265\n0.50 0.183530\n0.75 0.824420\nName: 4838, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4819871855396853, std values: 5.038665806137826, min values: 1.5331e-07, max values: 43.665, median values: 0.22746, and quantile values: 0.25 0.056264\n0.50 0.227460\n0.75 0.876220\nName: 4839, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4954879597553459, std values: 4.913170665164608, min values: 3.6831e-06, max values: 40.165, median values: 0.23345, and quantile values: 0.25 0.067688\n0.50 0.233450\n0.75 0.922705\nName: 4840, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5637930797452828, std values: 5.015506695612474, min values: 1.0906e-06, max values: 40.697, median values: 0.25221, and quantile values: 0.25 0.065952\n0.50 0.252210\n0.75 1.018705\nName: 4841, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.315591667545912, std values: 4.795849013578955, min values: 1.6082e-06, max values: 39.059, median values: 0.18462, and quantile values: 0.25 0.049929\n0.50 0.184620\n0.75 0.767065\nName: 4842, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5339146826546917, std values: 5.324034149547856, min values: 2.3486e-08, max values: 48.862, median values: 0.22924, and quantile values: 0.25 0.044466\n0.50 0.229240\n0.75 0.923525\nName: 4843, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3979972433138366, std values: 4.95236482274558, min values: 1.9833e-06, max values: 39.604, median values: 0.21271, and quantile values: 0.25 0.063344\n0.50 0.212710\n0.75 0.787495\nName: 4844, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7262347845227044, std values: 5.338041815683325, min values: 7.4391e-07, max values: 46.3, median values: 0.2944, and quantile values: 0.25 0.078873\n0.50 0.294400\n0.75 1.195650\nName: 4845, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3363422109056604, std values: 4.910808473319371, min values: 2.4663e-06, max values: 40.778, median values: 0.18835, and quantile values: 0.25 0.050982\n0.50 0.188350\n0.75 0.708015\nName: 4846, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7039523978515723, std values: 5.143909253274922, min values: 2.479e-06, max values: 41.237, median values: 0.28569, and quantile values: 0.25 0.077318\n0.50 0.285690\n0.75 1.159050\nName: 4847, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.522236211828302, std values: 5.237000333067428, min values: 2.1373e-06, max values: 44.984, median values: 0.23499, and quantile values: 0.25 0.064664\n0.50 0.234990\n0.75 0.894600\nName: 4848, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5790809233949057, std values: 4.864688946921995, min values: 9.9129e-07, max values: 39.229, median values: 0.23198, and quantile values: 0.25 0.068018\n0.50 0.231980\n0.75 1.042550\nName: 4849, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.680811381881132, std values: 4.916077838813928, min values: 3.5572e-06, max values: 39.585, median values: 0.28876, and quantile values: 0.25 0.07935\n0.50 0.28876\n0.75 1.11225\nName: 4850, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4587422399886791, std values: 5.141870111400318, min values: 1.2034e-06, max values: 42.729, median values: 0.18577, and quantile values: 0.25 0.058067\n0.50 0.185770\n0.75 0.816685\nName: 4851, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3001420618918238, std values: 4.730723344954557, min values: 1.6085e-06, max values: 38.74, median values: 0.16781, and quantile values: 0.25 0.049266\n0.50 0.167810\n0.75 0.728435\nName: 4852, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.725740482083648, std values: 5.2351748774624065, min values: 4.2306e-06, max values: 41.681, median values: 0.27621, and quantile values: 0.25 0.075228\n0.50 0.276210\n0.75 1.131300\nName: 4853, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3492410648779876, std values: 4.564830812723713, min values: 1.9705e-06, max values: 37.775, median values: 0.21095, and quantile values: 0.25 0.068497\n0.50 0.210950\n0.75 0.793800\nName: 4854, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.567321506902138, std values: 4.984086584563666, min values: 6.5934e-07, max values: 40.957, median values: 0.25422, and quantile values: 0.25 0.06732\n0.50 0.25422\n0.75 1.00941\nName: 4855, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5172059581037107, std values: 5.023938020386191, min values: 5.6779e-07, max values: 42.165, median values: 0.15528, and quantile values: 0.25 0.051403\n0.50 0.155280\n0.75 0.837515\nName: 4856, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7452443302484277, std values: 5.577936653600632, min values: 2.202e-07, max values: 51.191, median values: 0.25694, and quantile values: 0.25 0.060414\n0.50 0.256940\n0.75 1.115900\nName: 4857, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3617117914025159, std values: 4.8609534136724095, min values: 1.3331e-06, max values: 38.109, median values: 0.14052, and quantile values: 0.25 0.042061\n0.50 0.140520\n0.75 0.642640\nName: 4858, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.476882772471069, std values: 5.0017467962882725, min values: 3.572e-06, max values: 40.299, median values: 0.20375, and quantile values: 0.25 0.067935\n0.50 0.203750\n0.75 0.846175\nName: 4859, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4787270385810376, std values: 4.835997435314963, min values: 2.7785e-08, max values: 39.014, median values: 0.2068, and quantile values: 0.25 0.055734\n0.50 0.206800\n0.75 0.898535\nName: 4860, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5870526405138363, std values: 5.176620023678281, min values: 2.5596e-06, max values: 42.513, median values: 0.27013, and quantile values: 0.25 0.075226\n0.50 0.270130\n0.75 0.947910\nName: 4861, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4420966897224528, std values: 4.788969855744851, min values: 9.0337e-07, max values: 38.047, median values: 0.23371, and quantile values: 0.25 0.07480\n0.50 0.23371\n0.75 0.85873\nName: 4862, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.269031189091698, std values: 4.88129630724461, min values: 2.2286e-07, max values: 41.877, median values: 0.16845, and quantile values: 0.25 0.043409\n0.50 0.168450\n0.75 0.634325\nName: 4863, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4444631037805031, std values: 4.738407543141171, min values: 2.2936e-06, max values: 39.347, median values: 0.21291, and quantile values: 0.25 0.063986\n0.50 0.212910\n0.75 0.894220\nName: 4864, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2844800437251573, std values: 4.786788853767438, min values: 1.6315e-06, max values: 39.989, median values: 0.16643, and quantile values: 0.25 0.050571\n0.50 0.166430\n0.75 0.669065\nName: 4865, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.582966781438365, std values: 5.321186427635491, min values: 2.1943e-06, max values: 45.86, median values: 0.24768, and quantile values: 0.25 0.073548\n0.50 0.247680\n0.75 0.903010\nName: 4866, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.633916923881761, std values: 5.007684568888253, min values: 3.9894e-06, max values: 39.811, median values: 0.26285, and quantile values: 0.25 0.076702\n0.50 0.262850\n0.75 1.084250\nName: 4867, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6536789093371067, std values: 4.920392224618554, min values: 3.9514e-06, max values: 39.752, median values: 0.27821, and quantile values: 0.25 0.086158\n0.50 0.278210\n0.75 1.129900\nName: 4868, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6973427671446542, std values: 5.230784619579821, min values: 1.8647e-06, max values: 42.722, median values: 0.27245, and quantile values: 0.25 0.080479\n0.50 0.272450\n0.75 1.103450\nName: 4869, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3607778744723271, std values: 4.991955536349272, min values: 2.9379e-06, max values: 41.185, median values: 0.16606, and quantile values: 0.25 0.057161\n0.50 0.166060\n0.75 0.645385\nName: 4870, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7075288464893081, std values: 5.269893611715761, min values: 4.0014e-06, max values: 43.084, median values: 0.27063, and quantile values: 0.25 0.084008\n0.50 0.270630\n0.75 1.103000\nName: 4871, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3769921467050315, std values: 4.611143774587822, min values: 1.9211e-06, max values: 39.442, median values: 0.19493, and quantile values: 0.25 0.062064\n0.50 0.194930\n0.75 0.880505\nName: 4872, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5992698100094969, std values: 5.043131499188021, min values: 9.9491e-07, max values: 41.266, median values: 0.25209, and quantile values: 0.25 0.067827\n0.50 0.252090\n0.75 1.009400\nName: 4873, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7836074367691823, std values: 5.198904443532986, min values: 1.7061e-06, max values: 42.188, median values: 0.30783, and quantile values: 0.25 0.086655\n0.50 0.307830\n0.75 1.289000\nName: 4874, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4216452897559746, std values: 5.107345622998496, min values: 1.9314e-06, max values: 43.062, median values: 0.20053, and quantile values: 0.25 0.054531\n0.50 0.200530\n0.75 0.765490\nName: 4875, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4991122072647802, std values: 4.994160437584944, min values: 1.1753e-06, max values: 41.465, median values: 0.22842, and quantile values: 0.25 0.064237\n0.50 0.228420\n0.75 0.916855\nName: 4876, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5346708433194969, std values: 4.742814775785688, min values: 1.0133e-06, max values: 38.393, median values: 0.2478, and quantile values: 0.25 0.066741\n0.50 0.247800\n0.75 1.001240\nName: 4877, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5171108991735847, std values: 4.97985786126549, min values: 2.544e-06, max values: 39.505, median values: 0.23768, and quantile values: 0.25 0.056836\n0.50 0.237680\n0.75 0.993310\nName: 4878, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3508572028698742, std values: 4.861636679305607, min values: 8.6021e-07, max values: 39.336, median values: 0.16241, and quantile values: 0.25 0.049819\n0.50 0.162410\n0.75 0.761985\nName: 4879, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.635968579872327, std values: 5.224527072779017, min values: 3.6076e-06, max values: 41.852, median values: 0.24158, and quantile values: 0.25 0.078569\n0.50 0.241580\n0.75 1.008270\nName: 4880, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7188448311681759, std values: 5.3677933981701385, min values: 5.9784e-07, max values: 46.706, median values: 0.22025, and quantile values: 0.25 0.060223\n0.50 0.220250\n0.75 1.060135\nName: 4881, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3972763502466037, std values: 4.85357069516364, min values: 1.9285e-07, max values: 40.619, median values: 0.17681, and quantile values: 0.25 0.042404\n0.50 0.176810\n0.75 0.769585\nName: 4882, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5113370377503141, std values: 5.067441413796732, min values: 1.3651e-06, max values: 42.431, median values: 0.22768, and quantile values: 0.25 0.058575\n0.50 0.227680\n0.75 0.880865\nName: 4883, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5106376735729559, std values: 5.202739122495141, min values: 2.4765e-06, max values: 44.237, median values: 0.20516, and quantile values: 0.25 0.06814\n0.50 0.20516\n0.75 0.88956\nName: 4884, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3954133770037735, std values: 4.769709453709514, min values: 1.3567e-06, max values: 38.9, median values: 0.18565, and quantile values: 0.25 0.058506\n0.50 0.185650\n0.75 0.780660\nName: 4885, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5791179306628929, std values: 4.964252151000134, min values: 1.7748e-06, max values: 39.632, median values: 0.21846, and quantile values: 0.25 0.066186\n0.50 0.218460\n0.75 0.942270\nName: 4886, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6213284403691821, std values: 5.161864366545937, min values: 2.3367e-06, max values: 41.989, median values: 0.24103, and quantile values: 0.25 0.071215\n0.50 0.241030\n0.75 1.044050\nName: 4887, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5746708790037736, std values: 5.2140580349078975, min values: 2.3652e-06, max values: 43.723, median values: 0.22176, and quantile values: 0.25 0.068555\n0.50 0.221760\n0.75 0.962660\nName: 4888, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8154826089018872, std values: 5.280384843216277, min values: 2.5141e-06, max values: 42.956, median values: 0.30491, and quantile values: 0.25 0.076018\n0.50 0.304910\n0.75 1.290000\nName: 4889, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4737171922452832, std values: 4.9919235108653375, min values: 3.3111e-06, max values: 40.472, median values: 0.22182, and quantile values: 0.25 0.067588\n0.50 0.221820\n0.75 0.893495\nName: 4890, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.372581765815849, std values: 4.734184024733401, min values: 4.6962e-07, max values: 37.654, median values: 0.1826, and quantile values: 0.25 0.053554\n0.50 0.182600\n0.75 0.752410\nName: 4891, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6001827778490567, std values: 4.859932433934165, min values: 1.6823e-06, max values: 38.722, median values: 0.26341, and quantile values: 0.25 0.088644\n0.50 0.263410\n0.75 1.069650\nName: 4892, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5466930633207545, std values: 5.015069724367898, min values: 5.4565e-06, max values: 41.126, median values: 0.25259, and quantile values: 0.25 0.059954\n0.50 0.252590\n0.75 0.845655\nName: 4893, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.622080839102893, std values: 4.9273686900985805, min values: 1.3926e-07, max values: 39.402, median values: 0.2164, and quantile values: 0.25 0.056908\n0.50 0.216400\n0.75 1.048550\nName: 4894, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5331677320727672, std values: 5.049785864461124, min values: 4.2287e-07, max values: 42.398, median values: 0.2243, and quantile values: 0.25 0.065023\n0.50 0.224300\n0.75 0.962535\nName: 4895, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3841785842880503, std values: 4.841294766071754, min values: 1.1367e-06, max values: 38.599, median values: 0.20006, and quantile values: 0.25 0.054795\n0.50 0.200060\n0.75 0.789595\nName: 4896, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3556328325184213, std values: 4.670025437291758, min values: 3.0229e-08, max values: 37.092, median values: 0.188, and quantile values: 0.25 0.05166\n0.50 0.18800\n0.75 0.84193\nName: 4897, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5616940959220125, std values: 5.067494012486017, min values: 2.0251e-06, max values: 40.958, median values: 0.2461, and quantile values: 0.25 0.065929\n0.50 0.246100\n0.75 1.001860\nName: 4898, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5439262847456288, std values: 5.101215609208902, min values: 1.6765e-08, max values: 44.156, median values: 0.21696, and quantile values: 0.25 0.046134\n0.50 0.216960\n0.75 0.854830\nName: 4899, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3916329582580502, std values: 4.958460665001745, min values: 9.4863e-07, max values: 41.93, median values: 0.19549, and quantile values: 0.25 0.055425\n0.50 0.195490\n0.75 0.706615\nName: 4900, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4411012393981133, std values: 5.056961015820311, min values: 2.0085e-06, max values: 42.054, median values: 0.20899, and quantile values: 0.25 0.060804\n0.50 0.208990\n0.75 0.836450\nName: 4901, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4286461819257863, std values: 4.737026432025891, min values: 1.317e-06, max values: 38.92, median values: 0.2549, and quantile values: 0.25 0.062851\n0.50 0.254900\n0.75 0.868775\nName: 4902, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4405367967840943, std values: 4.831570868440695, min values: 8.9071e-08, max values: 38.523, median values: 0.21371, and quantile values: 0.25 0.053079\n0.50 0.213710\n0.75 0.858150\nName: 4903, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3989496226050315, std values: 4.838421168308175, min values: 2.1801e-06, max values: 39.291, median values: 0.2259, and quantile values: 0.25 0.063919\n0.50 0.225900\n0.75 0.810450\nName: 4904, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2893285416022076, std values: 4.633433738661637, min values: 2.2221e-08, max values: 37.065, median values: 0.18805, and quantile values: 0.25 0.048988\n0.50 0.188050\n0.75 0.731010\nName: 4905, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4413750599227044, std values: 4.968396419371583, min values: 5.3401e-07, max values: 41.723, median values: 0.18809, and quantile values: 0.25 0.052578\n0.50 0.188090\n0.75 0.826870\nName: 4906, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.570984246845786, std values: 4.963803431647459, min values: 5.1858e-07, max values: 40.453, median values: 0.21876, and quantile values: 0.25 0.063342\n0.50 0.218760\n0.75 0.988785\nName: 4907, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.397746196664151, std values: 4.735507718276447, min values: 1.2744e-06, max values: 39.11, median values: 0.20135, and quantile values: 0.25 0.061576\n0.50 0.201350\n0.75 0.852075\nName: 4908, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.269150073521258, std values: 4.5746533476178, min values: 7.7958e-07, max values: 38.135, median values: 0.17514, and quantile values: 0.25 0.044687\n0.50 0.175140\n0.75 0.687990\nName: 4909, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5716192976503143, std values: 5.048968801046087, min values: 1.8096e-06, max values: 41.072, median values: 0.24577, and quantile values: 0.25 0.072254\n0.50 0.245770\n0.75 0.978020\nName: 4910, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.419690150214654, std values: 4.717765432222603, min values: 8.6363e-07, max values: 39.039, median values: 0.19595, and quantile values: 0.25 0.058881\n0.50 0.195950\n0.75 0.898540\nName: 4911, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5305900971515722, std values: 5.206245749707384, min values: 1.5752e-06, max values: 44.358, median values: 0.23288, and quantile values: 0.25 0.057579\n0.50 0.232880\n0.75 0.949725\nName: 4912, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5369578616371071, std values: 5.133801846806708, min values: 3.5152e-06, max values: 41.377, median values: 0.22139, and quantile values: 0.25 0.066484\n0.50 0.221390\n0.75 0.938065\nName: 4913, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4979209098012578, std values: 4.9492075251491165, min values: 1.6537e-06, max values: 39.31, median values: 0.21529, and quantile values: 0.25 0.070481\n0.50 0.215290\n0.75 0.892255\nName: 4914, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4572153972688051, std values: 4.591834611698284, min values: 0.0, max values: 36.73, median values: 0.20903, and quantile values: 0.25 0.062307\n0.50 0.209030\n0.75 0.962350\nName: 4915, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6138751650607548, std values: 5.02764686176988, min values: 2.1036e-07, max values: 41.198, median values: 0.25329, and quantile values: 0.25 0.060963\n0.50 0.253290\n0.75 1.089100\nName: 4916, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3391314409969182, std values: 4.632641902031621, min values: 1.9574e-07, max values: 36.592, median values: 0.16372, and quantile values: 0.25 0.038106\n0.50 0.163720\n0.75 0.725960\nName: 4917, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6218562164589674, std values: 4.8445956028255655, min values: 4.0258e-09, max values: 38.193, median values: 0.19639, and quantile values: 0.25 0.041723\n0.50 0.196390\n0.75 1.027750\nName: 4918, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6777950741559748, std values: 5.339250485361549, min values: 3.8838e-06, max values: 44.948, median values: 0.32926, and quantile values: 0.25 0.077826\n0.50 0.329260\n0.75 1.055700\nName: 4919, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3015715737603772, std values: 4.871594332428264, min values: 2.1262e-06, max values: 39.178, median values: 0.17234, and quantile values: 0.25 0.050445\n0.50 0.172340\n0.75 0.651640\nName: 4920, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3141873878874843, std values: 4.841640012775695, min values: 4.8201e-07, max values: 39.82, median values: 0.15469, and quantile values: 0.25 0.049120\n0.50 0.154690\n0.75 0.750915\nName: 4921, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3244571253572959, std values: 4.820663456734097, min values: 5.0841e-07, max values: 40.197, median values: 0.17439, and quantile values: 0.25 0.057701\n0.50 0.174390\n0.75 0.719285\nName: 4922, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.519958217610629, std values: 4.957271596207421, min values: 3.6019e-07, max values: 41.054, median values: 0.23047, and quantile values: 0.25 0.068046\n0.50 0.230470\n0.75 0.972220\nName: 4923, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5373943812415092, std values: 5.090967832862634, min values: 1.6124e-06, max values: 42.653, median values: 0.25324, and quantile values: 0.25 0.059670\n0.50 0.253240\n0.75 0.922715\nName: 4924, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.235450624014214, std values: 4.73823194939577, min values: 4.1361e-07, max values: 39.153, median values: 0.15413, and quantile values: 0.25 0.042454\n0.50 0.154130\n0.75 0.646105\nName: 4925, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7576911603924528, std values: 5.143069089943095, min values: 2.4257e-06, max values: 41.007, median values: 0.31532, and quantile values: 0.25 0.089117\n0.50 0.315320\n0.75 1.193200\nName: 4926, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4801790415012577, std values: 5.0805614466777795, min values: 2.7042e-06, max values: 41.728, median values: 0.21426, and quantile values: 0.25 0.066647\n0.50 0.214260\n0.75 0.864435\nName: 4927, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5247249839742139, std values: 5.058370073883103, min values: 1.4404e-06, max values: 41.947, median values: 0.24992, and quantile values: 0.25 0.066832\n0.50 0.249920\n0.75 0.941950\nName: 4928, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4813280022314463, std values: 4.670175195138143, min values: 6.259e-07, max values: 37.877, median values: 0.20301, and quantile values: 0.25 0.056350\n0.50 0.203010\n0.75 0.988565\nName: 4929, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5306889615729562, std values: 4.948323583247986, min values: 1.0685e-06, max values: 39.478, median values: 0.22921, and quantile values: 0.25 0.062492\n0.50 0.229210\n0.75 1.009100\nName: 4930, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4018187119471068, std values: 4.724951030651325, min values: 9.3999e-07, max values: 37.412, median values: 0.19155, and quantile values: 0.25 0.058229\n0.50 0.191550\n0.75 0.815600\nName: 4931, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.725957340511321, std values: 4.979497115109549, min values: 3.3331e-06, max values: 39.337, median values: 0.29367, and quantile values: 0.25 0.094208\n0.50 0.293670\n0.75 1.219600\nName: 4932, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.412640822671132, std values: 4.984371463397176, min values: 9.0871e-07, max values: 41.718, median values: 0.20178, and quantile values: 0.25 0.060866\n0.50 0.201780\n0.75 0.738980\nName: 4933, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7305192674238994, std values: 5.476501822854998, min values: 2.8509e-06, max values: 46.7, median values: 0.3071, and quantile values: 0.25 0.085338\n0.50 0.307100\n0.75 1.039850\nName: 4934, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6311797065710694, std values: 4.992673349999084, min values: 2.7871e-06, max values: 39.033, median values: 0.30037, and quantile values: 0.25 0.077258\n0.50 0.300370\n0.75 1.029850\nName: 4935, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.766831177083019, std values: 5.369077380703232, min values: 3.6607e-06, max values: 44.834, median values: 0.28992, and quantile values: 0.25 0.084421\n0.50 0.289920\n0.75 1.140200\nName: 4936, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4594012811945156, std values: 5.030481026531083, min values: 2.3328e-08, max values: 43.128, median values: 0.18316, and quantile values: 0.25 0.042734\n0.50 0.183160\n0.75 0.791735\nName: 4937, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3084002884798112, std values: 4.722633844828538, min values: 2.3199e-07, max values: 38.049, median values: 0.16797, and quantile values: 0.25 0.052297\n0.50 0.167970\n0.75 0.719460\nName: 4938, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5180475979505095, std values: 4.92247100992072, min values: 3.1791e-08, max values: 41.252, median values: 0.22183, and quantile values: 0.25 0.055011\n0.50 0.221830\n0.75 0.940600\nName: 4939, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6394662663220123, std values: 5.048582687303108, min values: 3.0451e-06, max values: 40.016, median values: 0.26916, and quantile values: 0.25 0.068694\n0.50 0.269160\n0.75 1.119800\nName: 4940, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3078731377855346, std values: 4.796128064661105, min values: 1.8453e-06, max values: 38.477, median values: 0.17361, and quantile values: 0.25 0.054104\n0.50 0.173610\n0.75 0.683390\nName: 4941, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3797506258933019, std values: 4.752160386729959, min values: 3.2335e-08, max values: 38.389, median values: 0.19912, and quantile values: 0.25 0.055426\n0.50 0.199120\n0.75 0.812155\nName: 4942, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.342875824693711, std values: 4.746169017306276, min values: 2.3888e-06, max values: 40.224, median values: 0.18695, and quantile values: 0.25 0.058914\n0.50 0.186950\n0.75 0.730110\nName: 4943, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5293519684037735, std values: 5.010732342112937, min values: 1.747e-06, max values: 39.887, median values: 0.25357, and quantile values: 0.25 0.062084\n0.50 0.253570\n0.75 0.975650\nName: 4944, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4281718227238995, std values: 4.986656741124735, min values: 1.1376e-06, max values: 41.564, median values: 0.21328, and quantile values: 0.25 0.054218\n0.50 0.213280\n0.75 0.834285\nName: 4945, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.573255130912453, std values: 4.913422189777509, min values: 6.0648e-07, max values: 39.316, median values: 0.2499, and quantile values: 0.25 0.070102\n0.50 0.249900\n0.75 1.042700\nName: 4946, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5454905261516352, std values: 5.048312140171131, min values: 7.0891e-07, max values: 42.404, median values: 0.20997, and quantile values: 0.25 0.059274\n0.50 0.209970\n0.75 0.987490\nName: 4947, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6201233684559748, std values: 4.833521110460587, min values: 1.3039e-06, max values: 38.051, median values: 0.26602, and quantile values: 0.25 0.074497\n0.50 0.266020\n0.75 1.062050\nName: 4948, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5011319750956604, std values: 4.676864602973754, min values: 5.2271e-07, max values: 37.315, median values: 0.25891, and quantile values: 0.25 0.065764\n0.50 0.258910\n0.75 1.010300\nName: 4949, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4784342926729561, std values: 4.930678461442634, min values: 3.3726e-06, max values: 40.255, median values: 0.22076, and quantile values: 0.25 0.073247\n0.50 0.220760\n0.75 0.885295\nName: 4950, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.512176207936478, std values: 4.9903289732704, min values: 4.0094e-06, max values: 40.473, median values: 0.22429, and quantile values: 0.25 0.065587\n0.50 0.224290\n0.75 0.875835\nName: 4951, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3360028862945912, std values: 4.8238817904049744, min values: 3.1324e-07, max values: 39.437, median values: 0.15747, and quantile values: 0.25 0.044659\n0.50 0.157470\n0.75 0.704785\nName: 4952, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4212500204125156, std values: 4.949077331543333, min values: 2.1262e-07, max values: 41.975, median values: 0.20026, and quantile values: 0.25 0.048752\n0.50 0.200260\n0.75 0.750510\nName: 4953, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.243085359608805, std values: 4.644038397318527, min values: 1.4661e-06, max values: 39.136, median values: 0.15942, and quantile values: 0.25 0.052829\n0.50 0.159420\n0.75 0.604775\nName: 4954, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4541109213594339, std values: 4.749843575570092, min values: 4.8115e-07, max values: 37.688, median values: 0.21652, and quantile values: 0.25 0.059904\n0.50 0.216520\n0.75 0.922400\nName: 4955, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.57255878339344, std values: 4.891713231220044, min values: 3.4697e-08, max values: 39.702, median values: 0.23582, and quantile values: 0.25 0.051444\n0.50 0.235820\n0.75 1.070500\nName: 4956, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3978868627457233, std values: 4.828080508809511, min values: 2.2435e-07, max values: 40.302, median values: 0.19463, and quantile values: 0.25 0.049316\n0.50 0.194630\n0.75 0.818510\nName: 4957, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5335979795758492, std values: 5.148264227531195, min values: 9.5576e-07, max values: 43.685, median values: 0.24174, and quantile values: 0.25 0.060095\n0.50 0.241740\n0.75 0.946690\nName: 4958, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4885546565169812, std values: 4.879827382967836, min values: 1.3717e-06, max values: 38.706, median values: 0.21454, and quantile values: 0.25 0.062121\n0.50 0.214540\n0.75 0.922020\nName: 4959, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.67156292764088, std values: 5.15313080752717, min values: 3.4692e-06, max values: 41.229, median values: 0.26479, and quantile values: 0.25 0.080962\n0.50 0.264790\n0.75 1.077600\nName: 4960, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5106371240534593, std values: 5.020759525023905, min values: 1.2026e-06, max values: 40.763, median values: 0.20703, and quantile values: 0.25 0.062721\n0.50 0.207030\n0.75 0.931290\nName: 4961, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3787239036295598, std values: 4.866759936520564, min values: 2.2526e-06, max values: 39.633, median values: 0.19757, and quantile values: 0.25 0.063917\n0.50 0.197570\n0.75 0.780540\nName: 4962, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5347667526635218, std values: 4.88864883312373, min values: 2.4802e-06, max values: 39.649, median values: 0.21953, and quantile values: 0.25 0.059994\n0.50 0.219530\n0.75 0.974580\nName: 4963, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6060661517433963, std values: 5.016739536326414, min values: 2.9382e-06, max values: 39.854, median values: 0.25264, and quantile values: 0.25 0.070998\n0.50 0.252640\n0.75 1.048450\nName: 4964, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5272216329534591, std values: 4.9327273139785675, min values: 1.59e-06, max values: 39.391, median values: 0.23192, and quantile values: 0.25 0.070624\n0.50 0.231920\n0.75 0.972930\nName: 4965, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.467792375545283, std values: 5.031943398450877, min values: 2.1393e-06, max values: 41.109, median values: 0.20848, and quantile values: 0.25 0.065866\n0.50 0.208480\n0.75 0.857060\nName: 4966, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4817408247135218, std values: 4.887880725110671, min values: 7.9895e-07, max values: 39.353, median values: 0.23047, and quantile values: 0.25 0.059325\n0.50 0.230470\n0.75 0.897945\nName: 4967, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.492397100316352, std values: 5.094063024332634, min values: 1.2421e-06, max values: 42.644, median values: 0.21948, and quantile values: 0.25 0.064142\n0.50 0.219480\n0.75 0.915145\nName: 4968, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.316161372291824, std values: 4.64879538255931, min values: 2.4565e-06, max values: 39.677, median values: 0.19984, and quantile values: 0.25 0.057281\n0.50 0.199840\n0.75 0.745100\nName: 4969, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6217268585415092, std values: 5.221061882625891, min values: 5.6074e-06, max values: 41.715, median values: 0.26759, and quantile values: 0.25 0.073378\n0.50 0.267590\n0.75 0.970275\nName: 4970, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4138736076680503, std values: 4.594325070062547, min values: 2.2415e-07, max values: 37.071, median values: 0.17156, and quantile values: 0.25 0.050974\n0.50 0.171560\n0.75 0.826085\nName: 4971, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4586535597534591, std values: 5.0367188101507905, min values: 2.558e-07, max values: 42.543, median values: 0.19367, and quantile values: 0.25 0.052214\n0.50 0.193670\n0.75 0.875035\nName: 4972, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.513042780728931, std values: 4.794588673370111, min values: 3.9574e-06, max values: 39.345, median values: 0.23055, and quantile values: 0.25 0.075553\n0.50 0.230550\n0.75 0.910195\nName: 4973, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4635361987095599, std values: 5.066563765798989, min values: 5.9722e-07, max values: 43.563, median values: 0.1904, and quantile values: 0.25 0.053942\n0.50 0.190400\n0.75 0.881705\nName: 4974, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2764771433213207, std values: 4.45616713563415, min values: 4.0139e-07, max values: 38.16, median values: 0.1717, and quantile values: 0.25 0.047035\n0.50 0.171700\n0.75 0.663865\nName: 4975, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4460756961660377, std values: 4.859516771501661, min values: 1.317e-06, max values: 39.716, median values: 0.23073, and quantile values: 0.25 0.065855\n0.50 0.230730\n0.75 0.846665\nName: 4976, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6056965141490567, std values: 4.722299877790277, min values: 3.2734e-06, max values: 38.852, median values: 0.28806, and quantile values: 0.25 0.079361\n0.50 0.288060\n0.75 1.037260\nName: 4977, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3201460439415724, std values: 4.77633008319923, min values: 7.8591e-07, max values: 38.219, median values: 0.1814, and quantile values: 0.25 0.053673\n0.50 0.181400\n0.75 0.744225\nName: 4978, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3281220165025156, std values: 4.823967340171552, min values: 2.3141e-06, max values: 38.887, median values: 0.16885, and quantile values: 0.25 0.047045\n0.50 0.168850\n0.75 0.681525\nName: 4979, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2702962605902515, std values: 4.646841751770312, min values: 7.6825e-07, max values: 37.79, median values: 0.16277, and quantile values: 0.25 0.046694\n0.50 0.162770\n0.75 0.686740\nName: 4980, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2736796664144654, std values: 4.66001689073339, min values: 4.58e-07, max values: 37.269, median values: 0.17346, and quantile values: 0.25 0.050927\n0.50 0.173460\n0.75 0.745890\nName: 4981, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5330517378333335, std values: 4.847540868494041, min values: 3.1757e-06, max values: 40.011, median values: 0.23481, and quantile values: 0.25 0.067199\n0.50 0.234810\n0.75 0.980510\nName: 4982, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.487501411042138, std values: 5.070653223771102, min values: 2.3224e-06, max values: 41.539, median values: 0.22247, and quantile values: 0.25 0.061685\n0.50 0.222470\n0.75 0.935535\nName: 4983, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4717058394955973, std values: 4.9974537367867775, min values: 1.1731e-06, max values: 41.306, median values: 0.23382, and quantile values: 0.25 0.061287\n0.50 0.233820\n0.75 0.868575\nName: 4984, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2163326721981131, std values: 4.664793925140213, min values: 2.2148e-06, max values: 38.964, median values: 0.15431, and quantile values: 0.25 0.046235\n0.50 0.154310\n0.75 0.583160\nName: 4985, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6113764262937107, std values: 4.939751799321226, min values: 3.7568e-06, max values: 40.149, median values: 0.2799, and quantile values: 0.25 0.07623\n0.50 0.27990\n0.75 0.99416\nName: 4986, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3466895260742138, std values: 4.669241773058452, min values: 2.8974e-06, max values: 39.952, median values: 0.20038, and quantile values: 0.25 0.06286\n0.50 0.20038\n0.75 0.73374\nName: 4987, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.393476451876415, std values: 4.536550976628336, min values: 1.4035e-07, max values: 37.671, median values: 0.20127, and quantile values: 0.25 0.052500\n0.50 0.201270\n0.75 0.879265\nName: 4988, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6456942719415095, std values: 5.149220429277239, min values: 2.2692e-06, max values: 41.772, median values: 0.26918, and quantile values: 0.25 0.078771\n0.50 0.269180\n0.75 1.007785\nName: 4989, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5777436246566037, std values: 5.026275996929991, min values: 1.228e-06, max values: 40.468, median values: 0.24801, and quantile values: 0.25 0.078756\n0.50 0.248010\n0.75 0.991995\nName: 4990, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3685147778274214, std values: 4.802511548626037, min values: 7.4856e-07, max values: 38.593, median values: 0.17783, and quantile values: 0.25 0.058256\n0.50 0.177830\n0.75 0.848885\nName: 4991, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2351443639375852, std values: 4.559150589568663, min values: 1.9066e-08, max values: 36.616, median values: 0.13524, and quantile values: 0.25 0.036235\n0.50 0.135240\n0.75 0.600615\nName: 4992, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3930028547440254, std values: 4.713872685539283, min values: 8.646e-07, max values: 37.647, median values: 0.21476, and quantile values: 0.25 0.06475\n0.50 0.21476\n0.75 0.80336\nName: 4993, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5502973745679245, std values: 4.977581091087934, min values: 1.4129e-06, max values: 39.656, median values: 0.22332, and quantile values: 0.25 0.064281\n0.50 0.223320\n0.75 0.991180\nName: 4994, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4133602222742139, std values: 5.111205523423529, min values: 1.0258e-06, max values: 44.061, median values: 0.20219, and quantile values: 0.25 0.058878\n0.50 0.202190\n0.75 0.777075\nName: 4995, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4832227689106918, std values: 5.144418434949203, min values: 2.8343e-06, max values: 42.685, median values: 0.22627, and quantile values: 0.25 0.063492\n0.50 0.226270\n0.75 0.829715\nName: 4996, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3491879996006289, std values: 4.569937967730774, min values: 1.5693e-06, max values: 38.696, median values: 0.18693, and quantile values: 0.25 0.059709\n0.50 0.186930\n0.75 0.786585\nName: 4997, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6828058225616351, std values: 5.098384364653269, min values: 1.0783e-06, max values: 41.538, median values: 0.31637, and quantile values: 0.25 0.080662\n0.50 0.316370\n0.75 1.110500\nName: 4998, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3368375646408805, std values: 5.004328875442236, min values: 1.0924e-06, max values: 41.969, median values: 0.1624, and quantile values: 0.25 0.057667\n0.50 0.162400\n0.75 0.699470\nName: 4999, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5559393003798743, std values: 4.951824497453626, min values: 3.3825e-06, max values: 39.825, median values: 0.25127, and quantile values: 0.25 0.075729\n0.50 0.251270\n0.75 0.944905\nName: 5000, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.416177629688604, std values: 4.584890467783544, min values: 7.6688e-08, max values: 37.067, median values: 0.20821, and quantile values: 0.25 0.052455\n0.50 0.208210\n0.75 0.876840\nName: 5001, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5005959723213838, std values: 4.938254739679394, min values: 2.0809e-06, max values: 39.504, median values: 0.23615, and quantile values: 0.25 0.069698\n0.50 0.236150\n0.75 0.872070\nName: 5002, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.561535492072327, std values: 5.076511777743635, min values: 4.3224e-06, max values: 40.596, median values: 0.25546, and quantile values: 0.25 0.067870\n0.50 0.255460\n0.75 0.932135\nName: 5003, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5449070915732075, std values: 4.971449336350344, min values: 9.4604e-07, max values: 40.892, median values: 0.25022, and quantile values: 0.25 0.06810\n0.50 0.25022\n0.75 1.01145\nName: 5004, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4195713372936791, std values: 4.848038792724022, min values: 2.8745e-08, max values: 40.659, median values: 0.21294, and quantile values: 0.25 0.045741\n0.50 0.212940\n0.75 0.831605\nName: 5005, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5966837536591196, std values: 4.90932255077535, min values: 2.2815e-06, max values: 39.016, median values: 0.24189, and quantile values: 0.25 0.06577\n0.50 0.24189\n0.75 1.03188\nName: 5006, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7149926117144654, std values: 5.168364450211658, min values: 3.3118e-06, max values: 40.627, median values: 0.27901, and quantile values: 0.25 0.085471\n0.50 0.279010\n0.75 1.111900\nName: 5007, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4917572524037734, std values: 5.028788911004849, min values: 4.128e-06, max values: 41.106, median values: 0.2118, and quantile values: 0.25 0.060156\n0.50 0.211800\n0.75 0.886310\nName: 5008, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7072370478928929, std values: 5.173202693218563, min values: 8.0987e-07, max values: 42.812, median values: 0.28837, and quantile values: 0.25 0.072934\n0.50 0.288370\n0.75 1.171450\nName: 5009, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5664716091232704, std values: 5.033074435316639, min values: 1.8626e-06, max values: 40.832, median values: 0.26401, and quantile values: 0.25 0.081092\n0.50 0.264010\n0.75 1.021100\nName: 5010, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4975591117136475, std values: 4.9425823399935265, min values: 1.399e-07, max values: 40.989, median values: 0.19191, and quantile values: 0.25 0.049266\n0.50 0.191910\n0.75 0.896285\nName: 5011, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1951747025867925, std values: 4.6804981696841965, min values: 1.7619e-06, max values: 39.356, median values: 0.14702, and quantile values: 0.25 0.047396\n0.50 0.147020\n0.75 0.589750\nName: 5012, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8629694633591194, std values: 5.34287121440021, min values: 2.6757e-06, max values: 44.031, median values: 0.32359, and quantile values: 0.25 0.08449\n0.50 0.32359\n0.75 1.36235\nName: 5013, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2792618274503147, std values: 4.74414710828505, min values: 2.4339e-06, max values: 39.741, median values: 0.18128, and quantile values: 0.25 0.050987\n0.50 0.181280\n0.75 0.689805\nName: 5014, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.38040956518239, std values: 4.712753807237418, min values: 1.4412e-06, max values: 39.128, median values: 0.19289, and quantile values: 0.25 0.059869\n0.50 0.192890\n0.75 0.822300\nName: 5015, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.388460971272956, std values: 5.0057481626191525, min values: 2.504e-06, max values: 40.629, median values: 0.19531, and quantile values: 0.25 0.057763\n0.50 0.195310\n0.75 0.794995\nName: 5016, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4206236030561006, std values: 4.92030553542129, min values: 3.3762e-07, max values: 41.55, median values: 0.18486, and quantile values: 0.25 0.053880\n0.50 0.184860\n0.75 0.787775\nName: 5017, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3486422976119499, std values: 4.757496455417839, min values: 2.4855e-06, max values: 40.277, median values: 0.21303, and quantile values: 0.25 0.058611\n0.50 0.213030\n0.75 0.805065\nName: 5018, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5267974675559748, std values: 5.037291744005832, min values: 3.5435e-06, max values: 39.934, median values: 0.22655, and quantile values: 0.25 0.060549\n0.50 0.226550\n0.75 0.892695\nName: 5019, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3914970240969813, std values: 4.961297924814739, min values: 6.2862e-07, max values: 41.071, median values: 0.1669, and quantile values: 0.25 0.054927\n0.50 0.166900\n0.75 0.781240\nName: 5020, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4831940794263523, std values: 4.841869033479381, min values: 5.0776e-07, max values: 39.718, median values: 0.18398, and quantile values: 0.25 0.051150\n0.50 0.183980\n0.75 0.829895\nName: 5021, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.170921705983654, std values: 4.714356884447349, min values: 1.3786e-08, max values: 40.197, median values: 0.11253, and quantile values: 0.25 0.024503\n0.50 0.112530\n0.75 0.517555\nName: 5022, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4516948024465408, std values: 5.1318942940572105, min values: 2.938e-07, max values: 44.605, median values: 0.17674, and quantile values: 0.25 0.041450\n0.50 0.176740\n0.75 0.793445\nName: 5023, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.498198821119497, std values: 4.929939694342956, min values: 4.5638e-06, max values: 40.35, median values: 0.23121, and quantile values: 0.25 0.075773\n0.50 0.231210\n0.75 0.843625\nName: 5024, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7831091728660375, std values: 5.173781226109291, min values: 2.716e-06, max values: 41.145, median values: 0.32192, and quantile values: 0.25 0.086389\n0.50 0.321920\n0.75 1.230350\nName: 5025, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.55197034721761, std values: 5.137223118530253, min values: 1.3196e-06, max values: 42.984, median values: 0.23321, and quantile values: 0.25 0.058923\n0.50 0.233210\n0.75 0.951100\nName: 5026, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.431565090738302, std values: 4.638649457264396, min values: 3.0009e-07, max values: 37.351, median values: 0.22324, and quantile values: 0.25 0.057936\n0.50 0.223240\n0.75 0.921420\nName: 5027, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4468590234477359, std values: 5.055854518341621, min values: 5.8369e-07, max values: 44.141, median values: 0.21109, and quantile values: 0.25 0.063740\n0.50 0.211090\n0.75 0.799155\nName: 5028, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6983697115289307, std values: 5.137117567987225, min values: 2.0844e-06, max values: 42.086, median values: 0.29705, and quantile values: 0.25 0.081972\n0.50 0.297050\n0.75 1.165650\nName: 5029, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3971328357949686, std values: 4.822653616398565, min values: 5.449e-07, max values: 38.534, median values: 0.20056, and quantile values: 0.25 0.055616\n0.50 0.200560\n0.75 0.822595\nName: 5030, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5484518014232704, std values: 5.027532429268864, min values: 4.9015e-06, max values: 41.134, median values: 0.2287, and quantile values: 0.25 0.071721\n0.50 0.228700\n0.75 0.938560\nName: 5031, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5748853038450945, std values: 5.020438623279139, min values: 9.5577e-07, max values: 40.291, median values: 0.21694, and quantile values: 0.25 0.05667\n0.50 0.21694\n0.75 1.02173\nName: 5032, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4093668020659749, std values: 5.041778855099416, min values: 7.0899e-07, max values: 43.843, median values: 0.20097, and quantile values: 0.25 0.059873\n0.50 0.200970\n0.75 0.767390\nName: 5033, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5147843566320753, std values: 4.904436658998393, min values: 3.2076e-06, max values: 40.132, median values: 0.22373, and quantile values: 0.25 0.070418\n0.50 0.223730\n0.75 0.910360\nName: 5034, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4364616677487922, std values: 4.884949607020761, min values: 1.1228e-08, max values: 41.284, median values: 0.17263, and quantile values: 0.25 0.04232\n0.50 0.17263\n0.75 0.79606\nName: 5035, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3098556097073586, std values: 4.630326981813403, min values: 3.9807e-07, max values: 37.733, median values: 0.15848, and quantile values: 0.25 0.043526\n0.50 0.158480\n0.75 0.675920\nName: 5036, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.39845825009239, std values: 4.9113734369104085, min values: 6.4549e-07, max values: 40.344, median values: 0.19592, and quantile values: 0.25 0.054321\n0.50 0.195920\n0.75 0.842985\nName: 5037, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6197398990503145, std values: 5.110203544801851, min values: 6.259e-07, max values: 40.651, median values: 0.24872, and quantile values: 0.25 0.070583\n0.50 0.248720\n0.75 1.004310\nName: 5038, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4570073420005027, std values: 4.925109592504773, min values: 2.84e-07, max values: 41.574, median values: 0.23444, and quantile values: 0.25 0.050715\n0.50 0.234440\n0.75 0.835770\nName: 5039, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2912363898471697, std values: 4.752017318706687, min values: 1.3148e-06, max values: 38.501, median values: 0.19073, and quantile values: 0.25 0.05314\n0.50 0.19073\n0.75 0.66500\nName: 5040, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5341389154119498, std values: 4.944995258990523, min values: 1.4349e-06, max values: 39.6, median values: 0.2271, and quantile values: 0.25 0.057190\n0.50 0.227100\n0.75 1.038885\nName: 5041, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4514403933389934, std values: 5.066272767619766, min values: 4.2513e-06, max values: 40.898, median values: 0.21722, and quantile values: 0.25 0.063825\n0.50 0.217220\n0.75 0.801015\nName: 5042, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7834584065805033, std values: 5.141633571672824, min values: 1.1657e-06, max values: 41.005, median values: 0.30074, and quantile values: 0.25 0.084538\n0.50 0.300740\n0.75 1.284250\nName: 5043, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4145777611144656, std values: 4.803789384797595, min values: 1.7215e-06, max values: 38.904, median values: 0.23584, and quantile values: 0.25 0.067363\n0.50 0.235840\n0.75 0.883640\nName: 5044, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4452886652113206, std values: 4.935115629277901, min values: 1.7157e-06, max values: 39.689, median values: 0.20771, and quantile values: 0.25 0.059924\n0.50 0.207710\n0.75 0.908050\nName: 5045, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.519319043819497, std values: 5.1870127235315735, min values: 5.1315e-06, max values: 41.635, median values: 0.25335, and quantile values: 0.25 0.071339\n0.50 0.253350\n0.75 0.833420\nName: 5046, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6074886702490567, std values: 5.13989464206986, min values: 3.0533e-06, max values: 41.491, median values: 0.26895, and quantile values: 0.25 0.077805\n0.50 0.268950\n0.75 0.976255\nName: 5047, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5831603251754718, std values: 5.022401464547855, min values: 1.58e-06, max values: 40.99, median values: 0.25461, and quantile values: 0.25 0.066914\n0.50 0.254610\n0.75 1.031825\nName: 5048, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3875892386069182, std values: 5.245784033694507, min values: 2.4184e-06, max values: 44.789, median values: 0.16439, and quantile values: 0.25 0.058561\n0.50 0.164390\n0.75 0.620845\nName: 5049, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5199033152094341, std values: 5.101870855391594, min values: 4.992e-06, max values: 40.591, median values: 0.2422, and quantile values: 0.25 0.065013\n0.50 0.242200\n0.75 0.889695\nName: 5050, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.423999347617044, std values: 4.855827792925208, min values: 1.4838e-07, max values: 40.592, median values: 0.24795, and quantile values: 0.25 0.055400\n0.50 0.247950\n0.75 0.825245\nName: 5051, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5916621328520124, std values: 5.161070646363766, min values: 5.6027e-07, max values: 44.787, median values: 0.22691, and quantile values: 0.25 0.062792\n0.50 0.226910\n0.75 1.043600\nName: 5052, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3873249869341762, std values: 4.544683431666676, min values: 1.9644e-08, max values: 37.053, median values: 0.19084, and quantile values: 0.25 0.054312\n0.50 0.190840\n0.75 0.884925\nName: 5053, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.207515244180503, std values: 4.6527445831822565, min values: 4.2138e-06, max values: 40.602, median values: 0.13721, and quantile values: 0.25 0.050116\n0.50 0.137210\n0.75 0.495960\nName: 5054, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.466911755355975, std values: 4.930544701697178, min values: 3.0371e-06, max values: 40.162, median values: 0.21023, and quantile values: 0.25 0.067548\n0.50 0.210230\n0.75 0.883150\nName: 5055, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3061935694223648, std values: 4.6935043792400535, min values: 1.7706e-08, max values: 37.48, median values: 0.15415, and quantile values: 0.25 0.040515\n0.50 0.154150\n0.75 0.725745\nName: 5056, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3905778013465409, std values: 4.94407966059071, min values: 5.857e-07, max values: 41.979, median values: 0.20539, and quantile values: 0.25 0.052006\n0.50 0.205390\n0.75 0.743200\nName: 5057, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3349467211720125, std values: 5.077823650370702, min values: 8.3065e-07, max values: 43.871, median values: 0.18406, and quantile values: 0.25 0.052441\n0.50 0.184060\n0.75 0.716115\nName: 5058, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5274766876402517, std values: 5.037899704539695, min values: 1.918e-06, max values: 41.29, median values: 0.25496, and quantile values: 0.25 0.064894\n0.50 0.254960\n0.75 0.928975\nName: 5059, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.482289833291195, std values: 4.756816882304539, min values: 2.2278e-06, max values: 39.687, median values: 0.23388, and quantile values: 0.25 0.062116\n0.50 0.233880\n0.75 0.970260\nName: 5060, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4840340512955974, std values: 4.748031042618228, min values: 1.6732e-06, max values: 38.519, median values: 0.242, and quantile values: 0.25 0.068507\n0.50 0.242000\n0.75 0.894245\nName: 5061, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3313439999559749, std values: 4.653713561468087, min values: 1.9178e-06, max values: 39.174, median values: 0.17809, and quantile values: 0.25 0.053726\n0.50 0.178090\n0.75 0.734110\nName: 5062, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5697855113301886, std values: 5.147879563616557, min values: 1.5097e-06, max values: 42.988, median values: 0.23928, and quantile values: 0.25 0.072923\n0.50 0.239280\n0.75 0.923425\nName: 5063, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4633073546591195, std values: 4.891702549487772, min values: 1.1762e-06, max values: 39.366, median values: 0.20284, and quantile values: 0.25 0.059164\n0.50 0.202840\n0.75 0.905580\nName: 5064, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6220342148280942, std values: 5.005352716815797, min values: 7.8767e-08, max values: 40.838, median values: 0.24384, and quantile values: 0.25 0.063763\n0.50 0.243840\n0.75 1.039465\nName: 5065, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7679790998937106, std values: 5.3631946525543395, min values: 1.2819e-06, max values: 46.016, median values: 0.30754, and quantile values: 0.25 0.092665\n0.50 0.307540\n0.75 1.193150\nName: 5066, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.500528687575472, std values: 5.066881766671407, min values: 4.422e-07, max values: 43.545, median values: 0.23288, and quantile values: 0.25 0.063913\n0.50 0.232880\n0.75 0.904485\nName: 5067, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6461455456396226, std values: 5.065583598420704, min values: 4.1717e-06, max values: 40.204, median values: 0.26343, and quantile values: 0.25 0.079659\n0.50 0.263430\n0.75 1.039550\nName: 5068, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7132933134145913, std values: 4.9654783228489014, min values: 1.4682e-07, max values: 39.295, median values: 0.29563, and quantile values: 0.25 0.071106\n0.50 0.295630\n0.75 1.265450\nName: 5069, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4030184135006292, std values: 4.873186465577223, min values: 9.551e-07, max values: 39.715, median values: 0.21589, and quantile values: 0.25 0.064339\n0.50 0.215890\n0.75 0.732525\nName: 5070, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3834416358125787, std values: 4.555816453802118, min values: 2.7003e-06, max values: 39.637, median values: 0.19935, and quantile values: 0.25 0.059276\n0.50 0.199350\n0.75 0.847175\nName: 5071, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2528652877955975, std values: 4.699957791293264, min values: 6.245e-07, max values: 37.964, median values: 0.17216, and quantile values: 0.25 0.053165\n0.50 0.172160\n0.75 0.692505\nName: 5072, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4408550044864779, std values: 4.847864766726735, min values: 2.6675e-07, max values: 39.553, median values: 0.20226, and quantile values: 0.25 0.055344\n0.50 0.202260\n0.75 0.826680\nName: 5073, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6318583894084782, std values: 5.000440192660897, min values: 2.6748e-08, max values: 41.154, median values: 0.24148, and quantile values: 0.25 0.062434\n0.50 0.241480\n0.75 1.087600\nName: 5074, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5070349215220125, std values: 4.790752921024809, min values: 1.3195e-06, max values: 37.913, median values: 0.23861, and quantile values: 0.25 0.07375\n0.50 0.23861\n0.75 0.95551\nName: 5075, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6287487237679246, std values: 5.09106953619703, min values: 4.8835e-06, max values: 40.509, median values: 0.28424, and quantile values: 0.25 0.071867\n0.50 0.284240\n0.75 1.010500\nName: 5076, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4705395073471699, std values: 4.969336606436774, min values: 2.6608e-06, max values: 40.614, median values: 0.22108, and quantile values: 0.25 0.065473\n0.50 0.221080\n0.75 0.843525\nName: 5077, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5653779662273584, std values: 4.686363287644755, min values: 7.6475e-07, max values: 38.33, median values: 0.25889, and quantile values: 0.25 0.074197\n0.50 0.258890\n0.75 1.065500\nName: 5078, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4631430062792452, std values: 4.758171949766998, min values: 2.3588e-06, max values: 39.999, median values: 0.25069, and quantile values: 0.25 0.062316\n0.50 0.250690\n0.75 0.905615\nName: 5079, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4707886613465408, std values: 4.857676998590169, min values: 1.5438e-06, max values: 38.517, median values: 0.22801, and quantile values: 0.25 0.066001\n0.50 0.228010\n0.75 0.887250\nName: 5080, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7409441710389932, std values: 4.974233849386447, min values: 5.1394e-06, max values: 40.291, median values: 0.30062, and quantile values: 0.25 0.085611\n0.50 0.300620\n0.75 1.181950\nName: 5081, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.491625725516981, std values: 5.061826699177466, min values: 1.758e-06, max values: 41.967, median values: 0.22007, and quantile values: 0.25 0.065524\n0.50 0.220070\n0.75 0.852650\nName: 5082, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5046331146132077, std values: 4.843089422154914, min values: 3.6721e-06, max values: 39.778, median values: 0.22359, and quantile values: 0.25 0.070071\n0.50 0.223590\n0.75 0.915030\nName: 5083, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6519821572918238, std values: 4.8673029835839525, min values: 3.8262e-06, max values: 40.05, median values: 0.26971, and quantile values: 0.25 0.080043\n0.50 0.269710\n0.75 1.135850\nName: 5084, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.69295182281761, std values: 4.925798194720715, min values: 2.5091e-06, max values: 39.771, median values: 0.30342, and quantile values: 0.25 0.082541\n0.50 0.303420\n0.75 1.157300\nName: 5085, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5751382160994343, std values: 5.008619660404342, min values: 8.6391e-07, max values: 41.393, median values: 0.26985, and quantile values: 0.25 0.077118\n0.50 0.269850\n0.75 1.036100\nName: 5086, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5326327343279873, std values: 4.833245018404328, min values: 6.6095e-07, max values: 38.148, median values: 0.2422, and quantile values: 0.25 0.06439\n0.50 0.24220\n0.75 0.99218\nName: 5087, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5990798370616353, std values: 5.06296322975741, min values: 2.8764e-06, max values: 40.021, median values: 0.25158, and quantile values: 0.25 0.072484\n0.50 0.251580\n0.75 1.013065\nName: 5088, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3014354406321385, std values: 4.6371070028967125, min values: 4.3711e-07, max values: 36.727, median values: 0.16222, and quantile values: 0.25 0.050561\n0.50 0.162220\n0.75 0.722835\nName: 5089, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5246640636885533, std values: 5.012221570825403, min values: 4.8638e-07, max values: 42.104, median values: 0.24467, and quantile values: 0.25 0.059853\n0.50 0.244670\n0.75 0.953130\nName: 5090, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3806174119742138, std values: 4.772274066584838, min values: 1.3135e-06, max values: 38.432, median values: 0.19279, and quantile values: 0.25 0.061137\n0.50 0.192790\n0.75 0.790745\nName: 5091, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.420962789099371, std values: 4.820442409806019, min values: 1.6791e-06, max values: 39.592, median values: 0.20353, and quantile values: 0.25 0.064610\n0.50 0.203530\n0.75 0.826055\nName: 5092, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3363240494833586, std values: 4.64065730897754, min values: 2.8204e-08, max values: 36.753, median values: 0.19263, and quantile values: 0.25 0.041436\n0.50 0.192630\n0.75 0.718370\nName: 5093, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5157464592610066, std values: 4.766200445004063, min values: 1.0142e-06, max values: 38.078, median values: 0.23605, and quantile values: 0.25 0.073549\n0.50 0.236050\n0.75 0.944060\nName: 5094, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5248800111062892, std values: 5.05736875429276, min values: 2.0671e-06, max values: 40.58, median values: 0.23368, and quantile values: 0.25 0.064694\n0.50 0.233680\n0.75 0.940640\nName: 5095, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5362155998333333, std values: 4.953410164659335, min values: 1.9842e-06, max values: 39.02, median values: 0.23428, and quantile values: 0.25 0.071101\n0.50 0.234280\n0.75 0.983880\nName: 5096, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3473893853937733, std values: 4.749152204983351, min values: 5.5761e-07, max values: 37.876, median values: 0.17653, and quantile values: 0.25 0.054154\n0.50 0.176530\n0.75 0.782025\nName: 5097, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3208708237347169, std values: 5.143027648264774, min values: 2.1888e-07, max values: 46.425, median values: 0.13906, and quantile values: 0.25 0.037503\n0.50 0.139060\n0.75 0.664905\nName: 5098, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4364523031301888, std values: 4.9995555183823015, min values: 3.1093e-06, max values: 40.489, median values: 0.20256, and quantile values: 0.25 0.063287\n0.50 0.202560\n0.75 0.823760\nName: 5099, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6221863666238991, std values: 4.823320314124753, min values: 3.3028e-06, max values: 39.724, median values: 0.26826, and quantile values: 0.25 0.078398\n0.50 0.268260\n0.75 1.155650\nName: 5100, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4818705366515723, std values: 4.732402852822225, min values: 2.176e-07, max values: 37.372, median values: 0.21197, and quantile values: 0.25 0.064075\n0.50 0.211970\n0.75 0.937260\nName: 5101, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.483645964201761, std values: 4.805925391980406, min values: 6.2128e-07, max values: 37.908, median values: 0.23788, and quantile values: 0.25 0.064152\n0.50 0.237880\n0.75 0.898450\nName: 5102, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2815341302146541, std values: 4.847698736416158, min values: 2.9553e-07, max values: 39.942, median values: 0.18038, and quantile values: 0.25 0.044358\n0.50 0.180380\n0.75 0.666045\nName: 5103, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.80682079745283, std values: 5.045718135485451, min values: 3.5254e-06, max values: 39.684, median values: 0.30323, and quantile values: 0.25 0.073841\n0.50 0.303230\n0.75 1.244700\nName: 5104, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.292832068927673, std values: 4.8286440071505705, min values: 1.2884e-06, max values: 38.893, median values: 0.15825, and quantile values: 0.25 0.056175\n0.50 0.158250\n0.75 0.721590\nName: 5105, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.142354585472767, std values: 4.669958977553426, min values: 1.1654e-07, max values: 37.886, median values: 0.11026, and quantile values: 0.25 0.033320\n0.50 0.110260\n0.75 0.501145\nName: 5106, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.530680538973522, std values: 4.871470495508673, min values: 2.7449e-07, max values: 39.223, median values: 0.22228, and quantile values: 0.25 0.055633\n0.50 0.222280\n0.75 0.917630\nName: 5107, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3313361478242767, std values: 4.738873132899301, min values: 6.6206e-07, max values: 37.892, median values: 0.18879, and quantile values: 0.25 0.056765\n0.50 0.188790\n0.75 0.734305\nName: 5108, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.615600577209434, std values: 4.901392926647368, min values: 4.7067e-06, max values: 39.794, median values: 0.25671, and quantile values: 0.25 0.087689\n0.50 0.256710\n0.75 1.041705\nName: 5109, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.552581905043459, std values: 5.070293085840876, min values: 4.3101e-07, max values: 43.151, median values: 0.22626, and quantile values: 0.25 0.060962\n0.50 0.226260\n0.75 0.924295\nName: 5110, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5152400931855348, std values: 4.694888405490603, min values: 1.9626e-06, max values: 38.755, median values: 0.25334, and quantile values: 0.25 0.06924\n0.50 0.25334\n0.75 0.97253\nName: 5111, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5470696077971071, std values: 5.227750918810338, min values: 9.2854e-07, max values: 45.084, median values: 0.20462, and quantile values: 0.25 0.056834\n0.50 0.204620\n0.75 0.921660\nName: 5112, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5498320185873584, std values: 4.94111768595393, min values: 2.1589e-07, max values: 40.633, median values: 0.22228, and quantile values: 0.25 0.059802\n0.50 0.222280\n0.75 0.931695\nName: 5113, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.391571079554717, std values: 4.8293011363592475, min values: 1.0409e-06, max values: 38.983, median values: 0.2092, and quantile values: 0.25 0.057086\n0.50 0.209200\n0.75 0.816635\nName: 5114, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4939709135547172, std values: 4.856674203544748, min values: 1.7269e-06, max values: 38.673, median values: 0.22368, and quantile values: 0.25 0.073734\n0.50 0.223680\n0.75 0.891855\nName: 5115, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3949694986725156, std values: 5.05838106198576, min values: 7.5773e-07, max values: 42.883, median values: 0.16783, and quantile values: 0.25 0.057173\n0.50 0.167830\n0.75 0.782540\nName: 5116, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5067075210450942, std values: 4.845371258548874, min values: 1.9947e-07, max values: 39.283, median values: 0.24335, and quantile values: 0.25 0.057933\n0.50 0.243350\n0.75 0.972085\nName: 5117, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5421378993968553, std values: 4.883032867609952, min values: 1.6956e-06, max values: 38.531, median values: 0.23744, and quantile values: 0.25 0.068910\n0.50 0.237440\n0.75 1.009745\nName: 5118, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3136901259710692, std values: 4.523981043546085, min values: 1.1394e-06, max values: 38.152, median values: 0.17482, and quantile values: 0.25 0.063541\n0.50 0.174820\n0.75 0.743545\nName: 5119, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5302685878949684, std values: 4.749142370904561, min values: 1.1967e-06, max values: 37.871, median values: 0.20247, and quantile values: 0.25 0.056972\n0.50 0.202470\n0.75 0.943670\nName: 5120, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4510124198484275, std values: 4.9677470931731, min values: 1.2645e-06, max values: 40.936, median values: 0.20294, and quantile values: 0.25 0.064654\n0.50 0.202940\n0.75 0.871915\nName: 5121, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.470669767624088, std values: 4.839377794550321, min values: 7.2553e-07, max values: 38.79, median values: 0.2067, and quantile values: 0.25 0.056672\n0.50 0.206700\n0.75 0.909800\nName: 5122, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3133950636563396, std values: 4.703416769406747, min values: 3.3748e-08, max values: 38.331, median values: 0.18031, and quantile values: 0.25 0.045185\n0.50 0.180310\n0.75 0.710160\nName: 5123, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4662873693572327, std values: 4.922884036630236, min values: 1.1534e-06, max values: 39.402, median values: 0.24021, and quantile values: 0.25 0.063924\n0.50 0.240210\n0.75 0.878590\nName: 5124, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3570236851914967, std values: 4.68853265790625, min values: 2.4808e-08, max values: 37.51, median values: 0.18284, and quantile values: 0.25 0.040839\n0.50 0.182840\n0.75 0.698140\nName: 5125, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4320592318878616, std values: 4.881770423648169, min values: 8.5367e-07, max values: 39.006, median values: 0.18421, and quantile values: 0.25 0.054658\n0.50 0.184210\n0.75 0.839500\nName: 5126, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.597122412189497, std values: 4.85026118882365, min values: 5.8563e-07, max values: 38.075, median values: 0.24279, and quantile values: 0.25 0.064865\n0.50 0.242790\n0.75 1.016725\nName: 5127, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4255195182666667, std values: 4.823971827080264, min values: 3.0303e-06, max values: 39.693, median values: 0.22293, and quantile values: 0.25 0.065239\n0.50 0.222930\n0.75 0.799395\nName: 5128, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6966324054601887, std values: 5.438825711765722, min values: 5.7957e-07, max values: 48.569, median values: 0.31374, and quantile values: 0.25 0.069698\n0.50 0.313740\n0.75 1.118400\nName: 5129, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3911550854276415, std values: 5.0314173530143345, min values: 2.3415e-08, max values: 44.318, median values: 0.16696, and quantile values: 0.25 0.037272\n0.50 0.166960\n0.75 0.706250\nName: 5130, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5778108207340251, std values: 5.123119091280636, min values: 5.9741e-07, max values: 43.707, median values: 0.234, and quantile values: 0.25 0.067401\n0.50 0.234000\n0.75 0.964145\nName: 5131, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4330933226308178, std values: 5.017609491472202, min values: 2.4507e-06, max values: 40.033, median values: 0.2154, and quantile values: 0.25 0.062491\n0.50 0.215400\n0.75 0.727765\nName: 5132, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4362420957515096, std values: 4.863904304340165, min values: 6.2219e-07, max values: 39.746, median values: 0.21979, and quantile values: 0.25 0.059772\n0.50 0.219790\n0.75 0.888300\nName: 5133, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.447176598987736, std values: 4.903520477134809, min values: 5.2895e-07, max values: 39.552, median values: 0.21063, and quantile values: 0.25 0.059178\n0.50 0.210630\n0.75 0.906645\nName: 5134, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.481622461671698, std values: 4.853655459416049, min values: 2.953e-06, max values: 40.133, median values: 0.2231, and quantile values: 0.25 0.062968\n0.50 0.223100\n0.75 0.894965\nName: 5135, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6385659157075474, std values: 5.073255907556744, min values: 1.7551e-06, max values: 40.146, median values: 0.25299, and quantile values: 0.25 0.081118\n0.50 0.252990\n0.75 1.046850\nName: 5136, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.44545928624717, std values: 4.938165673482095, min values: 2.8761e-06, max values: 40.198, median values: 0.21397, and quantile values: 0.25 0.059732\n0.50 0.213970\n0.75 0.846080\nName: 5137, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3893223241014467, std values: 4.955769475698482, min values: 3.0673e-07, max values: 42.697, median values: 0.21148, and quantile values: 0.25 0.057204\n0.50 0.211480\n0.75 0.771135\nName: 5138, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6780987668729563, std values: 5.230924396055196, min values: 2.042e-06, max values: 42.919, median values: 0.26761, and quantile values: 0.25 0.06869\n0.50 0.26761\n0.75 1.09655\nName: 5139, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.204641218262893, std values: 4.631504254950156, min values: 2.0071e-06, max values: 39.612, median values: 0.14889, and quantile values: 0.25 0.048611\n0.50 0.148890\n0.75 0.573020\nName: 5140, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3429480319415095, std values: 4.93460625285082, min values: 2.1652e-06, max values: 39.954, median values: 0.19318, and quantile values: 0.25 0.053003\n0.50 0.193180\n0.75 0.733160\nName: 5141, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.242105523790566, std values: 4.525801704882842, min values: 2.2843e-06, max values: 39.303, median values: 0.15348, and quantile values: 0.25 0.047118\n0.50 0.153480\n0.75 0.700635\nName: 5142, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.464518151735849, std values: 4.9004370142551, min values: 6.259e-07, max values: 41.163, median values: 0.23841, and quantile values: 0.25 0.060137\n0.50 0.238410\n0.75 0.804880\nName: 5143, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3802647208899372, std values: 5.140776612838877, min values: 1.8145e-06, max values: 44.257, median values: 0.16603, and quantile values: 0.25 0.054247\n0.50 0.166030\n0.75 0.740205\nName: 5144, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7082959142861636, std values: 5.2093091376621725, min values: 1.1081e-06, max values: 43.56, median values: 0.26635, and quantile values: 0.25 0.07219\n0.50 0.26635\n0.75 1.14525\nName: 5145, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.464558469306918, std values: 4.881162937262346, min values: 1.121e-06, max values: 39.822, median values: 0.23317, and quantile values: 0.25 0.068613\n0.50 0.233170\n0.75 0.813795\nName: 5146, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4919955041861634, std values: 4.973936989816301, min values: 1.3482e-06, max values: 40.077, median values: 0.20871, and quantile values: 0.25 0.06080\n0.50 0.20871\n0.75 0.91127\nName: 5147, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5072245529597483, std values: 4.926263015421453, min values: 1.5106e-06, max values: 39.169, median values: 0.25489, and quantile values: 0.25 0.064949\n0.50 0.254890\n0.75 0.898030\nName: 5148, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4982986306232704, std values: 5.063359812252327, min values: 1.0085e-06, max values: 42.097, median values: 0.219, and quantile values: 0.25 0.059484\n0.50 0.219000\n0.75 0.820340\nName: 5149, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4649171479056604, std values: 4.77828531105878, min values: 1.8294e-06, max values: 39.355, median values: 0.24378, and quantile values: 0.25 0.062514\n0.50 0.243780\n0.75 0.919655\nName: 5150, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4717118574519497, std values: 4.828017340610078, min values: 2.8732e-07, max values: 39.451, median values: 0.20293, and quantile values: 0.25 0.053352\n0.50 0.202930\n0.75 0.838810\nName: 5151, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4927392749949686, std values: 5.024492220129797, min values: 1.3611e-06, max values: 41.748, median values: 0.21421, and quantile values: 0.25 0.066661\n0.50 0.214210\n0.75 0.906420\nName: 5152, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4454669166383647, std values: 5.055962327281676, min values: 2.5144e-06, max values: 41.731, median values: 0.22085, and quantile values: 0.25 0.060055\n0.50 0.220850\n0.75 0.793790\nName: 5153, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4996343162295032, std values: 4.799516391339963, min values: 2.7781e-08, max values: 38.446, median values: 0.20825, and quantile values: 0.25 0.057859\n0.50 0.208250\n0.75 1.037800\nName: 5154, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5402016271427674, std values: 5.070889633143399, min values: 1.1894e-06, max values: 42.379, median values: 0.24168, and quantile values: 0.25 0.070101\n0.50 0.241680\n0.75 0.962685\nName: 5155, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4594831725811321, std values: 4.949719755374062, min values: 3.0413e-06, max values: 39.514, median values: 0.21501, and quantile values: 0.25 0.062933\n0.50 0.215010\n0.75 0.905025\nName: 5156, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.439731852221824, std values: 4.866960302187721, min values: 4.1187e-07, max values: 39.149, median values: 0.20729, and quantile values: 0.25 0.054853\n0.50 0.207290\n0.75 0.896550\nName: 5157, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4092117514389937, std values: 4.853799363014938, min values: 8.599e-07, max values: 38.827, median values: 0.19223, and quantile values: 0.25 0.048557\n0.50 0.192230\n0.75 0.850400\nName: 5158, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2744601955903772, std values: 4.764539666175754, min values: 8.7417e-07, max values: 38.731, median values: 0.16132, and quantile values: 0.25 0.052540\n0.50 0.161320\n0.75 0.643435\nName: 5159, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5475486055197485, std values: 4.88338503301577, min values: 8.8834e-07, max values: 39.73, median values: 0.18645, and quantile values: 0.25 0.055248\n0.50 0.186450\n0.75 0.912500\nName: 5160, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4592418157113207, std values: 4.993084675067705, min values: 1.7456e-06, max values: 40.918, median values: 0.23419, and quantile values: 0.25 0.069763\n0.50 0.234190\n0.75 0.884670\nName: 5161, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.282167908418868, std values: 4.553233781525703, min values: 1.6149e-06, max values: 39.286, median values: 0.16347, and quantile values: 0.25 0.053096\n0.50 0.163470\n0.75 0.740770\nName: 5162, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8942982738257863, std values: 5.318118041644747, min values: 1.7845e-06, max values: 42.395, median values: 0.33424, and quantile values: 0.25 0.090974\n0.50 0.334240\n0.75 1.417550\nName: 5163, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4518644450873583, std values: 5.110166943994906, min values: 9.9039e-07, max values: 44.33, median values: 0.21683, and quantile values: 0.25 0.062561\n0.50 0.216830\n0.75 0.864490\nName: 5164, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5516271089595597, std values: 4.860187255549576, min values: 6.8897e-07, max values: 38.5, median values: 0.29291, and quantile values: 0.25 0.075478\n0.50 0.292910\n0.75 1.040200\nName: 5165, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7366468886781135, std values: 5.179811180482645, min values: 8.5582e-07, max values: 42.439, median values: 0.30094, and quantile values: 0.25 0.076567\n0.50 0.300940\n0.75 1.182300\nName: 5166, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5231274403749684, std values: 4.978105153029769, min values: 1.1542e-07, max values: 41.506, median values: 0.18778, and quantile values: 0.25 0.056765\n0.50 0.187780\n0.75 0.879260\nName: 5167, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.517791918427044, std values: 5.088109080965295, min values: 3.298e-06, max values: 41.513, median values: 0.21446, and quantile values: 0.25 0.06667\n0.50 0.21446\n0.75 0.91200\nName: 5168, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3112613425540878, std values: 4.6938679968051265, min values: 2.436e-08, max values: 38.449, median values: 0.18969, and quantile values: 0.25 0.041660\n0.50 0.189690\n0.75 0.720395\nName: 5169, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5709573052962262, std values: 4.83776939471351, min values: 1.9394e-06, max values: 39.049, median values: 0.26856, and quantile values: 0.25 0.075836\n0.50 0.268560\n0.75 0.998290\nName: 5170, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5016290951125157, std values: 5.135866685232101, min values: 6.6739e-07, max values: 43.992, median values: 0.21163, and quantile values: 0.25 0.061595\n0.50 0.211630\n0.75 0.841585\nName: 5171, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6523178992880503, std values: 4.935550687623493, min values: 2.9165e-06, max values: 39.787, median values: 0.28006, and quantile values: 0.25 0.082159\n0.50 0.280060\n0.75 1.125500\nName: 5172, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4361556419591195, std values: 4.652853926196881, min values: 2.687e-07, max values: 37.434, median values: 0.21158, and quantile values: 0.25 0.053643\n0.50 0.211580\n0.75 0.917220\nName: 5173, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5769328421333333, std values: 4.8522487099988565, min values: 2.4821e-06, max values: 39.198, median values: 0.26622, and quantile values: 0.25 0.086111\n0.50 0.266220\n0.75 1.036650\nName: 5174, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6004205644691825, std values: 5.089617904693964, min values: 2.0186e-06, max values: 41.633, median values: 0.27256, and quantile values: 0.25 0.066866\n0.50 0.272560\n0.75 0.925320\nName: 5175, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6673887609088052, std values: 5.049428506608912, min values: 2.5309e-06, max values: 40.328, median values: 0.29961, and quantile values: 0.25 0.081978\n0.50 0.299610\n0.75 1.114300\nName: 5176, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2088324798803773, std values: 4.406682321103386, min values: 8.1218e-07, max values: 37.292, median values: 0.16815, and quantile values: 0.25 0.050735\n0.50 0.168150\n0.75 0.628690\nName: 5177, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4846223564616354, std values: 4.915333974993011, min values: 1.593e-06, max values: 39.657, median values: 0.24417, and quantile values: 0.25 0.064584\n0.50 0.244170\n0.75 0.844245\nName: 5178, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.177865159674591, std values: 4.729856933271063, min values: 5.1496e-07, max values: 39.018, median values: 0.13357, and quantile values: 0.25 0.040035\n0.50 0.133570\n0.75 0.568165\nName: 5179, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4286441886044026, std values: 4.988059530992189, min values: 1.3774e-06, max values: 41.156, median values: 0.18533, and quantile values: 0.25 0.052425\n0.50 0.185330\n0.75 0.822575\nName: 5180, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9436648828201255, std values: 5.322405269353452, min values: 4.9684e-06, max values: 40.477, median values: 0.34213, and quantile values: 0.25 0.10444\n0.50 0.34213\n0.75 1.33775\nName: 5181, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.394602648478239, std values: 4.7097569646121675, min values: 2.0224e-07, max values: 37.585, median values: 0.19091, and quantile values: 0.25 0.052153\n0.50 0.190910\n0.75 0.831100\nName: 5182, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.476220164864151, std values: 5.2006419432226165, min values: 1.623e-06, max values: 45.187, median values: 0.20117, and quantile values: 0.25 0.065652\n0.50 0.201170\n0.75 0.831330\nName: 5183, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3421422453429872, std values: 4.620223676984067, min values: 2.2985e-08, max values: 37.075, median values: 0.17258, and quantile values: 0.25 0.048812\n0.50 0.172580\n0.75 0.833085\nName: 5184, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5540542952792453, std values: 5.077586753384373, min values: 1.9084e-06, max values: 41.156, median values: 0.22849, and quantile values: 0.25 0.078123\n0.50 0.228490\n0.75 0.966055\nName: 5185, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5418429021413207, std values: 5.01138661698408, min values: 5.7027e-07, max values: 41.72, median values: 0.24827, and quantile values: 0.25 0.057694\n0.50 0.248270\n0.75 0.963845\nName: 5186, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7095900473206287, std values: 5.023888043362225, min values: 9.6498e-07, max values: 39.029, median values: 0.26783, and quantile values: 0.25 0.07012\n0.50 0.26783\n0.75 1.23230\nName: 5187, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5815457866949687, std values: 5.021675292106003, min values: 1.404e-06, max values: 41.12, median values: 0.24902, and quantile values: 0.25 0.070236\n0.50 0.249020\n0.75 1.013345\nName: 5188, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4252199336647797, std values: 4.8553528226727805, min values: 1.0664e-06, max values: 38.871, median values: 0.18405, and quantile values: 0.25 0.060098\n0.50 0.184050\n0.75 0.856790\nName: 5189, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3290252091301888, std values: 4.719350541979333, min values: 1.5678e-06, max values: 38.093, median values: 0.16687, and quantile values: 0.25 0.053068\n0.50 0.166870\n0.75 0.677635\nName: 5190, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.025612900679245, std values: 5.561233415103006, min values: 1.0808e-05, max values: 41.794, median values: 0.31778, and quantile values: 0.25 0.099118\n0.50 0.317780\n0.75 1.346700\nName: 5191, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5595719686836162, std values: 5.1862672483269305, min values: 2.1265e-08, max values: 45.905, median values: 0.22138, and quantile values: 0.25 0.047899\n0.50 0.221380\n0.75 0.878150\nName: 5192, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4148502211094338, std values: 4.8496762468602155, min values: 2.166e-07, max values: 39.429, median values: 0.22073, and quantile values: 0.25 0.054561\n0.50 0.220730\n0.75 0.879705\nName: 5193, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2566647056496856, std values: 4.632013984984929, min values: 1.7981e-07, max values: 37.02, median values: 0.15145, and quantile values: 0.25 0.03678\n0.50 0.15145\n0.75 0.62629\nName: 5194, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3161495570065218, std values: 4.733636868778334, min values: 1.6187e-08, max values: 38.1, median values: 0.15234, and quantile values: 0.25 0.040131\n0.50 0.152340\n0.75 0.734490\nName: 5195, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.683715518895912, std values: 5.15043216689684, min values: 1.1895e-07, max values: 43.526, median values: 0.21938, and quantile values: 0.25 0.056368\n0.50 0.219380\n0.75 1.086550\nName: 5196, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4272635858062892, std values: 5.1229637295035, min values: 1.4496e-06, max values: 43.512, median values: 0.19388, and quantile values: 0.25 0.059177\n0.50 0.193880\n0.75 0.788495\nName: 5197, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6593385937402516, std values: 5.050686303181495, min values: 3.3867e-06, max values: 40.283, median values: 0.25696, and quantile values: 0.25 0.076093\n0.50 0.256960\n0.75 1.094600\nName: 5198, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4808978248012579, std values: 5.017853495179788, min values: 2.5899e-06, max values: 40.071, median values: 0.24731, and quantile values: 0.25 0.065565\n0.50 0.247310\n0.75 0.890040\nName: 5199, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5777368943085028, std values: 5.088804134930841, min values: 1.6452e-08, max values: 43.157, median values: 0.23962, and quantile values: 0.25 0.062069\n0.50 0.239620\n0.75 1.068950\nName: 5200, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9566792908396227, std values: 5.359990485110816, min values: 2.9546e-06, max values: 41.749, median values: 0.37282, and quantile values: 0.25 0.098348\n0.50 0.372820\n0.75 1.433800\nName: 5201, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5275123653562266, std values: 5.166483224933601, min values: 1.2644e-07, max values: 44.563, median values: 0.22283, and quantile values: 0.25 0.057348\n0.50 0.222830\n0.75 0.934770\nName: 5202, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5320841235261007, std values: 4.9095695375438195, min values: 3.4385e-07, max values: 39.429, median values: 0.22846, and quantile values: 0.25 0.066442\n0.50 0.228460\n0.75 0.965030\nName: 5203, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4725026624792452, std values: 5.003687916522517, min values: 2.3717e-06, max values: 40.182, median values: 0.22531, and quantile values: 0.25 0.067390\n0.50 0.225310\n0.75 0.824885\nName: 5204, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4392459812450378, std values: 4.792592957513582, min values: 1.8701e-08, max values: 39.44, median values: 0.21186, and quantile values: 0.25 0.045983\n0.50 0.211860\n0.75 0.832390\nName: 5205, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5209372701597483, std values: 5.17290520718691, min values: 2.8427e-06, max values: 42.331, median values: 0.24767, and quantile values: 0.25 0.073191\n0.50 0.247670\n0.75 0.886395\nName: 5206, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3245649580529433, std values: 4.510781344847364, min values: 5.8348e-08, max values: 36.691, median values: 0.20594, and quantile values: 0.25 0.047203\n0.50 0.205940\n0.75 0.775825\nName: 5207, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.629775609411321, std values: 5.1520474611813265, min values: 2.3064e-06, max values: 41.649, median values: 0.29272, and quantile values: 0.25 0.076383\n0.50 0.292720\n0.75 1.034950\nName: 5208, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8882474503974844, std values: 5.3441961992407485, min values: 5.7502e-06, max values: 41.091, median values: 0.36588, and quantile values: 0.25 0.08965\n0.50 0.36588\n0.75 1.21215\nName: 5209, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.345581325586415, std values: 4.616166171165581, min values: 9.8404e-07, max values: 37.924, median values: 0.20321, and quantile values: 0.25 0.053211\n0.50 0.203210\n0.75 0.788465\nName: 5210, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3351420048294969, std values: 4.615485848391815, min values: 2.1292e-08, max values: 36.874, median values: 0.14972, and quantile values: 0.25 0.033342\n0.50 0.149720\n0.75 0.665150\nName: 5211, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4675836445838992, std values: 4.7394047894582005, min values: 9.0154e-07, max values: 38.395, median values: 0.22379, and quantile values: 0.25 0.05573\n0.50 0.22379\n0.75 0.91341\nName: 5212, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2398814011598114, std values: 4.733010508384438, min values: 4.1651e-07, max values: 38.473, median values: 0.16137, and quantile values: 0.25 0.050405\n0.50 0.161370\n0.75 0.617755\nName: 5213, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.540571121171698, std values: 5.05981910790141, min values: 1.3879e-06, max values: 41.243, median values: 0.2127, and quantile values: 0.25 0.068153\n0.50 0.212700\n0.75 0.947275\nName: 5214, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3600086797962263, std values: 4.792520172556678, min values: 2.1232e-06, max values: 40.051, median values: 0.20251, and quantile values: 0.25 0.054267\n0.50 0.202510\n0.75 0.838055\nName: 5215, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.547251883177358, std values: 4.902349366342123, min values: 2.8095e-06, max values: 39.225, median values: 0.27267, and quantile values: 0.25 0.071893\n0.50 0.272670\n0.75 1.011735\nName: 5216, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4488348557251574, std values: 5.11739411581864, min values: 2.5013e-06, max values: 39.635, median values: 0.18627, and quantile values: 0.25 0.056499\n0.50 0.186270\n0.75 0.641990\nName: 5217, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.368365255789874, std values: 4.783136098269073, min values: 2.3279e-07, max values: 39.54, median values: 0.18676, and quantile values: 0.25 0.055397\n0.50 0.186760\n0.75 0.740450\nName: 5218, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4830877235125788, std values: 4.97264057224904, min values: 1.7885e-06, max values: 40.133, median values: 0.21002, and quantile values: 0.25 0.058256\n0.50 0.210020\n0.75 0.908905\nName: 5219, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.571082873815912, std values: 4.861537696620535, min values: 7.7243e-07, max values: 38.586, median values: 0.28394, and quantile values: 0.25 0.07810\n0.50 0.28394\n0.75 1.02045\nName: 5220, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4443413343086164, std values: 4.838557739602985, min values: 5.9857e-07, max values: 38.726, median values: 0.22122, and quantile values: 0.25 0.059585\n0.50 0.221220\n0.75 0.901735\nName: 5221, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.665100327148428, std values: 5.432886306032976, min values: 2.235e-06, max values: 47.445, median values: 0.24145, and quantile values: 0.25 0.070454\n0.50 0.241450\n0.75 1.049250\nName: 5222, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3654320773717483, std values: 4.714746409919279, min values: 1.5068e-08, max values: 38.271, median values: 0.20425, and quantile values: 0.25 0.043332\n0.50 0.204250\n0.75 0.801985\nName: 5223, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4837022102285535, std values: 4.9553018118800285, min values: 6.5474e-07, max values: 40.906, median values: 0.23767, and quantile values: 0.25 0.055019\n0.50 0.237670\n0.75 0.926155\nName: 5224, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2881763804220125, std values: 4.944719646775061, min values: 1.2918e-06, max values: 42.034, median values: 0.15715, and quantile values: 0.25 0.046440\n0.50 0.157150\n0.75 0.624275\nName: 5225, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.534792740828931, std values: 5.010291462708398, min values: 4.314e-06, max values: 40.904, median values: 0.25697, and quantile values: 0.25 0.069782\n0.50 0.256970\n0.75 0.900580\nName: 5226, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5438320798880503, std values: 5.07696646355574, min values: 1.926e-06, max values: 42.285, median values: 0.23615, and quantile values: 0.25 0.071387\n0.50 0.236150\n0.75 0.951610\nName: 5227, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5488946035991573, std values: 5.000750469972078, min values: 2.5346e-08, max values: 41.745, median values: 0.21233, and quantile values: 0.25 0.054853\n0.50 0.212330\n0.75 0.980230\nName: 5228, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2402124324301886, std values: 4.973925905417489, min values: 1.4219e-06, max values: 40.41, median values: 0.13609, and quantile values: 0.25 0.039488\n0.50 0.136090\n0.75 0.587345\nName: 5229, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6079986176610064, std values: 5.159650817217388, min values: 3.6553e-06, max values: 40.84, median values: 0.25897, and quantile values: 0.25 0.073249\n0.50 0.258970\n0.75 0.955470\nName: 5230, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.459985678683522, std values: 4.785578464268909, min values: 3.1988e-07, max values: 38.492, median values: 0.19789, and quantile values: 0.25 0.051352\n0.50 0.197890\n0.75 0.908275\nName: 5231, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6249197511679243, std values: 5.207944851883202, min values: 8.4337e-06, max values: 42.494, median values: 0.24722, and quantile values: 0.25 0.066564\n0.50 0.247220\n0.75 0.872085\nName: 5232, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.46404000515639, std values: 5.030546182359102, min values: 1.4766e-08, max values: 42.764, median values: 0.17343, and quantile values: 0.25 0.042263\n0.50 0.173430\n0.75 0.853480\nName: 5233, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3745836986357234, std values: 4.802625969307779, min values: 4.8088e-07, max values: 38.859, median values: 0.18489, and quantile values: 0.25 0.053790\n0.50 0.184890\n0.75 0.765375\nName: 5234, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.693846150846541, std values: 5.003123409905319, min values: 2.2116e-06, max values: 40.037, median values: 0.28358, and quantile values: 0.25 0.07882\n0.50 0.28358\n0.75 1.14055\nName: 5235, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3928486508207547, std values: 4.802230783395457, min values: 2.8299e-06, max values: 39.123, median values: 0.19722, and quantile values: 0.25 0.06381\n0.50 0.19722\n0.75 0.86298\nName: 5236, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.56868637153, std values: 4.793852526941496, min values: 5.8747e-07, max values: 38.481, median values: 0.25875, and quantile values: 0.25 0.066623\n0.50 0.258750\n0.75 1.066100\nName: 5237, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.572756119655346, std values: 4.95975198984077, min values: 1.1027e-06, max values: 40.153, median values: 0.27354, and quantile values: 0.25 0.070404\n0.50 0.273540\n0.75 1.029950\nName: 5238, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4207893311367925, std values: 4.760841447119388, min values: 5.7125e-07, max values: 37.782, median values: 0.20568, and quantile values: 0.25 0.05824\n0.50 0.20568\n0.75 0.85250\nName: 5239, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2425547882937735, std values: 4.60632969213376, min values: 9.4361e-07, max values: 39.487, median values: 0.14936, and quantile values: 0.25 0.045103\n0.50 0.149360\n0.75 0.696415\nName: 5240, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4798544718345283, std values: 4.818163647869944, min values: 8.2499e-07, max values: 38.097, median values: 0.25169, and quantile values: 0.25 0.073667\n0.50 0.251690\n0.75 0.908050\nName: 5241, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2879602340817609, std values: 4.674520083492324, min values: 1.4797e-06, max values: 39.709, median values: 0.18829, and quantile values: 0.25 0.053527\n0.50 0.188290\n0.75 0.685475\nName: 5242, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.629994807228868, std values: 5.0079937037454965, min values: 6.7989e-07, max values: 40.538, median values: 0.26055, and quantile values: 0.25 0.07062\n0.50 0.26055\n0.75 1.12660\nName: 5243, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.331953444199371, std values: 4.832780707918473, min values: 1.4844e-06, max values: 39.871, median values: 0.17254, and quantile values: 0.25 0.049842\n0.50 0.172540\n0.75 0.585820\nName: 5244, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.283310241527434, std values: 4.594459500577736, min values: 1.5342e-08, max values: 36.925, median values: 0.14744, and quantile values: 0.25 0.041216\n0.50 0.147440\n0.75 0.709530\nName: 5245, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4760894845157235, std values: 4.983958514030095, min values: 3.1492e-06, max values: 39.881, median values: 0.21684, and quantile values: 0.25 0.07187\n0.50 0.21684\n0.75 0.84295\nName: 5246, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3761098303566037, std values: 5.094176289870544, min values: 1.4018e-06, max values: 42.671, median values: 0.19669, and quantile values: 0.25 0.051525\n0.50 0.196690\n0.75 0.803860\nName: 5247, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5247070508761005, std values: 4.973237186083908, min values: 1.9717e-06, max values: 40.718, median values: 0.25531, and quantile values: 0.25 0.080124\n0.50 0.255310\n0.75 0.944765\nName: 5248, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4866668384779875, std values: 4.6367207570990185, min values: 3.1396e-06, max values: 39.104, median values: 0.24068, and quantile values: 0.25 0.082304\n0.50 0.240680\n0.75 0.904765\nName: 5249, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.637789316201887, std values: 4.997395945662829, min values: 2.7e-06, max values: 39.493, median values: 0.27004, and quantile values: 0.25 0.079014\n0.50 0.270040\n0.75 1.048800\nName: 5250, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4787780144176037, std values: 4.945218879381858, min values: 2.5799e-08, max values: 41.038, median values: 0.17216, and quantile values: 0.25 0.046079\n0.50 0.172160\n0.75 0.848080\nName: 5251, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3285942838115723, std values: 4.837262480958128, min values: 7.5954e-07, max values: 39.435, median values: 0.18664, and quantile values: 0.25 0.05667\n0.50 0.18664\n0.75 0.73264\nName: 5252, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3340931907087423, std values: 4.5748604010536695, min values: 4.1349e-07, max values: 37.659, median values: 0.18653, and quantile values: 0.25 0.055232\n0.50 0.186530\n0.75 0.793400\nName: 5253, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.58830687226322, std values: 4.8245462273036885, min values: 9.6422e-08, max values: 37.907, median values: 0.21565, and quantile values: 0.25 0.057930\n0.50 0.215650\n0.75 1.030625\nName: 5254, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4293475082879246, std values: 4.770616584281203, min values: 2.979e-08, max values: 38.453, median values: 0.2223, and quantile values: 0.25 0.050269\n0.50 0.222300\n0.75 0.884735\nName: 5255, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4056663607366668, std values: 4.802295529295496, min values: 4.9523e-07, max values: 38.185, median values: 0.18343, and quantile values: 0.25 0.056002\n0.50 0.183430\n0.75 0.799435\nName: 5256, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6510734729729561, std values: 5.515849147753969, min values: 4.6708e-06, max values: 47.546, median values: 0.2644, and quantile values: 0.25 0.070994\n0.50 0.264400\n0.75 0.948965\nName: 5257, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3288509606480567, std values: 4.657643576565565, min values: 4.0721e-08, max values: 37.032, median values: 0.18283, and quantile values: 0.25 0.046267\n0.50 0.182830\n0.75 0.707575\nName: 5258, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5458798610817608, std values: 5.133135052598014, min values: 3.2865e-06, max values: 42.113, median values: 0.24109, and quantile values: 0.25 0.072282\n0.50 0.241090\n0.75 0.913080\nName: 5259, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5692558006414652, std values: 5.052470627667689, min values: 2.2493e-08, max values: 43.13, median values: 0.24964, and quantile values: 0.25 0.056864\n0.50 0.249640\n0.75 1.030250\nName: 5260, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6081701243723272, std values: 5.013292123325894, min values: 1.1154e-06, max values: 40.498, median values: 0.26376, and quantile values: 0.25 0.075738\n0.50 0.263760\n0.75 1.040150\nName: 5261, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3236794378867924, std values: 4.7053132898211665, min values: 2.8437e-06, max values: 38.911, median values: 0.21164, and quantile values: 0.25 0.057896\n0.50 0.211640\n0.75 0.633955\nName: 5262, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4398765808823901, std values: 5.014010017135596, min values: 1.4714e-06, max values: 41.357, median values: 0.21068, and quantile values: 0.25 0.054454\n0.50 0.210680\n0.75 0.864895\nName: 5263, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5947579068163522, std values: 5.037334136747954, min values: 3.9221e-06, max values: 39.677, median values: 0.26045, and quantile values: 0.25 0.074729\n0.50 0.260450\n0.75 0.938695\nName: 5264, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3893878250432703, std values: 5.077896108414666, min values: 8.0508e-07, max values: 44.166, median values: 0.18718, and quantile values: 0.25 0.062836\n0.50 0.187180\n0.75 0.743315\nName: 5265, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.462927197862893, std values: 4.797592824421854, min values: 1.446e-07, max values: 37.95, median values: 0.21502, and quantile values: 0.25 0.063884\n0.50 0.215020\n0.75 0.949070\nName: 5266, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.885831411346541, std values: 5.330185635234016, min values: 3.8988e-06, max values: 42.074, median values: 0.32937, and quantile values: 0.25 0.090079\n0.50 0.329370\n0.75 1.353750\nName: 5267, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6180703168811323, std values: 5.150871542919358, min values: 3.4709e-06, max values: 41.068, median values: 0.26645, and quantile values: 0.25 0.085862\n0.50 0.266450\n0.75 1.007420\nName: 5268, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.494747289800629, std values: 4.751653522961811, min values: 1.6991e-06, max values: 38.447, median values: 0.22021, and quantile values: 0.25 0.062967\n0.50 0.220210\n0.75 0.865880\nName: 5269, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.616936098653459, std values: 5.1860697548242, min values: 1.6553e-06, max values: 43.381, median values: 0.24146, and quantile values: 0.25 0.075257\n0.50 0.241460\n0.75 1.044700\nName: 5270, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1873692012981132, std values: 4.590940301222163, min values: 2.2016e-06, max values: 39.592, median values: 0.15101, and quantile values: 0.25 0.049918\n0.50 0.151010\n0.75 0.554535\nName: 5271, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5815971848389938, std values: 5.093509727725303, min values: 2.9327e-06, max values: 40.555, median values: 0.25088, and quantile values: 0.25 0.063436\n0.50 0.250880\n0.75 0.979770\nName: 5272, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4255607959528303, std values: 4.909643768651704, min values: 2.2481e-06, max values: 39.026, median values: 0.21618, and quantile values: 0.25 0.064084\n0.50 0.216180\n0.75 0.841385\nName: 5273, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5421928434610062, std values: 5.09741861852546, min values: 1.6308e-06, max values: 43.105, median values: 0.22808, and quantile values: 0.25 0.068834\n0.50 0.228080\n0.75 0.870010\nName: 5274, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.708779120406352, std values: 4.998016587030245, min values: 9.7611e-07, max values: 39.972, median values: 0.28964, and quantile values: 0.25 0.071351\n0.50 0.289640\n0.75 1.223550\nName: 5275, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6885628708119498, std values: 5.290181040392436, min values: 6.8551e-06, max values: 41.878, median values: 0.2977, and quantile values: 0.25 0.087708\n0.50 0.297700\n0.75 1.026550\nName: 5276, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3246424487522013, std values: 4.643306615769575, min values: 1.0097e-06, max values: 38.702, median values: 0.19, and quantile values: 0.25 0.057867\n0.50 0.190000\n0.75 0.776305\nName: 5277, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4432232007077734, std values: 4.95495815795441, min values: 2.1326e-08, max values: 41.993, median values: 0.1703, and quantile values: 0.25 0.045824\n0.50 0.170300\n0.75 0.863195\nName: 5278, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.304944505758994, std values: 4.89612852492038, min values: 4.8558e-07, max values: 41.683, median values: 0.14816, and quantile values: 0.25 0.049759\n0.50 0.148160\n0.75 0.658635\nName: 5279, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.470654442716981, std values: 4.983577739399593, min values: 1.0847e-06, max values: 40.624, median values: 0.24944, and quantile values: 0.25 0.069898\n0.50 0.249440\n0.75 0.826020\nName: 5280, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.67705348800805, std values: 5.085956065114594, min values: 9.4418e-07, max values: 41.384, median values: 0.28407, and quantile values: 0.25 0.069299\n0.50 0.284070\n0.75 1.154550\nName: 5281, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2983344811949684, std values: 4.889622224939053, min values: 1.8815e-06, max values: 39.513, median values: 0.16528, and quantile values: 0.25 0.051569\n0.50 0.165280\n0.75 0.701595\nName: 5282, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3637508231446538, std values: 4.815348520645958, min values: 1.0283e-06, max values: 38.958, median values: 0.19427, and quantile values: 0.25 0.063879\n0.50 0.194270\n0.75 0.749455\nName: 5283, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.303530875171698, std values: 4.967101885723601, min values: 2.4167e-06, max values: 40.86, median values: 0.1548, and quantile values: 0.25 0.047626\n0.50 0.154800\n0.75 0.641185\nName: 5284, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6559035920377356, std values: 5.272106407605317, min values: 1.771e-06, max values: 44.543, median values: 0.23544, and quantile values: 0.25 0.069551\n0.50 0.235440\n0.75 1.049350\nName: 5285, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5117955319955976, std values: 5.102464902252293, min values: 2.5742e-06, max values: 40.665, median values: 0.2142, and quantile values: 0.25 0.066146\n0.50 0.214200\n0.75 0.804075\nName: 5286, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4037086007627673, std values: 4.661408075576437, min values: 6.3778e-07, max values: 37.892, median values: 0.22049, and quantile values: 0.25 0.054899\n0.50 0.220490\n0.75 0.849710\nName: 5287, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.421342593929497, std values: 5.004278451289752, min values: 1.4759e-07, max values: 43.091, median values: 0.19927, and quantile values: 0.25 0.054220\n0.50 0.199270\n0.75 0.865325\nName: 5288, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4977362893723267, std values: 5.184921744521981, min values: 3.6548e-06, max values: 43.229, median values: 0.2315, and quantile values: 0.25 0.064401\n0.50 0.231500\n0.75 0.830085\nName: 5289, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6322892723037927, std values: 4.815166615777669, min values: 3.6883e-08, max values: 37.079, median values: 0.24228, and quantile values: 0.25 0.054408\n0.50 0.242280\n0.75 1.206000\nName: 5290, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4833104194974844, std values: 4.935062174948393, min values: 2.4109e-06, max values: 40.262, median values: 0.23435, and quantile values: 0.25 0.061996\n0.50 0.234350\n0.75 0.876330\nName: 5291, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6876178500113208, std values: 4.91868706033518, min values: 1.557e-06, max values: 37.868, median values: 0.26884, and quantile values: 0.25 0.070919\n0.50 0.268840\n0.75 1.185400\nName: 5292, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4176003362700629, std values: 5.054808898374971, min values: 3.4744e-07, max values: 43.817, median values: 0.19019, and quantile values: 0.25 0.056741\n0.50 0.190190\n0.75 0.840550\nName: 5293, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5390815692685533, std values: 4.790249965246842, min values: 1.6221e-06, max values: 39.182, median values: 0.24597, and quantile values: 0.25 0.072406\n0.50 0.245970\n0.75 1.020900\nName: 5294, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5583014245779874, std values: 4.9107687919675875, min values: 1.0459e-06, max values: 39.004, median values: 0.24664, and quantile values: 0.25 0.066808\n0.50 0.246640\n0.75 0.982650\nName: 5295, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2699487217652201, std values: 4.678013611444084, min values: 6.2027e-07, max values: 37.576, median values: 0.17505, and quantile values: 0.25 0.056324\n0.50 0.175050\n0.75 0.656360\nName: 5296, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4029065753320755, std values: 4.793830617938579, min values: 8.977e-07, max values: 38.763, median values: 0.22574, and quantile values: 0.25 0.061712\n0.50 0.225740\n0.75 0.813505\nName: 5297, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.499922422556604, std values: 5.195654374948463, min values: 2.3137e-06, max values: 43.67, median values: 0.23114, and quantile values: 0.25 0.066962\n0.50 0.231140\n0.75 0.906850\nName: 5298, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7573265781930187, std values: 5.288223868926428, min values: 3.8939e-07, max values: 45.816, median values: 0.32119, and quantile values: 0.25 0.068056\n0.50 0.321190\n0.75 1.203000\nName: 5299, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.495475842445912, std values: 4.599964778839212, min values: 1.3086e-06, max values: 37.657, median values: 0.22137, and quantile values: 0.25 0.066549\n0.50 0.221370\n0.75 0.956600\nName: 5300, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.667360685145912, std values: 5.146586848443415, min values: 1.3251e-06, max values: 42.297, median values: 0.26988, and quantile values: 0.25 0.070684\n0.50 0.269880\n0.75 1.000055\nName: 5301, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3961233894038994, std values: 4.850436321469999, min values: 6.3852e-07, max values: 38.733, median values: 0.20998, and quantile values: 0.25 0.056822\n0.50 0.209980\n0.75 0.781830\nName: 5302, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4547814098465408, std values: 5.146826414389484, min values: 1.447e-06, max values: 43.99, median values: 0.19883, and quantile values: 0.25 0.054391\n0.50 0.198830\n0.75 0.826320\nName: 5303, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6913034130283022, std values: 5.053532184144225, min values: 2.1332e-06, max values: 39.776, median values: 0.28634, and quantile values: 0.25 0.083605\n0.50 0.286340\n0.75 1.152850\nName: 5304, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.51320677494717, std values: 4.882961393429287, min values: 5.391e-07, max values: 39.24, median values: 0.22845, and quantile values: 0.25 0.052068\n0.50 0.228450\n0.75 0.870630\nName: 5305, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4602701627654087, std values: 4.864967975980712, min values: 2.0722e-06, max values: 39.11, median values: 0.23243, and quantile values: 0.25 0.062476\n0.50 0.232430\n0.75 0.839220\nName: 5306, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2895435534947421, std values: 4.826560527239895, min values: 2.1387e-08, max values: 41.523, median values: 0.1475, and quantile values: 0.25 0.033184\n0.50 0.147500\n0.75 0.609240\nName: 5307, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.38949171113522, std values: 4.820699386940779, min values: 1.6896e-06, max values: 39.755, median values: 0.20804, and quantile values: 0.25 0.064983\n0.50 0.208040\n0.75 0.781575\nName: 5308, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.453534047900063, std values: 4.895072677971898, min values: 5.0441e-07, max values: 39.727, median values: 0.21148, and quantile values: 0.25 0.05369\n0.50 0.21148\n0.75 0.92189\nName: 5309, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4223249644106921, std values: 4.640935709695011, min values: 3.8793e-06, max values: 39.699, median values: 0.21519, and quantile values: 0.25 0.059803\n0.50 0.215190\n0.75 0.834490\nName: 5310, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.445888060310063, std values: 5.1383820945623775, min values: 2.5788e-06, max values: 43.335, median values: 0.21037, and quantile values: 0.25 0.061667\n0.50 0.210370\n0.75 0.798240\nName: 5311, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4660057541356728, std values: 4.972124417540036, min values: 2.0272e-08, max values: 42.197, median values: 0.20486, and quantile values: 0.25 0.059889\n0.50 0.204860\n0.75 0.888685\nName: 5312, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4224256236339623, std values: 5.01257662655819, min values: 3.0443e-06, max values: 40.548, median values: 0.20526, and quantile values: 0.25 0.070393\n0.50 0.205260\n0.75 0.741985\nName: 5313, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6309705975773587, std values: 5.231120006596977, min values: 4.072e-06, max values: 41.75, median values: 0.27739, and quantile values: 0.25 0.079986\n0.50 0.277390\n0.75 0.924480\nName: 5314, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5557721684557235, std values: 5.025008852927143, min values: 9.7526e-07, max values: 40.752, median values: 0.26466, and quantile values: 0.25 0.070460\n0.50 0.264660\n0.75 0.942195\nName: 5315, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7060283215232706, std values: 5.028846072637478, min values: 2.3007e-06, max values: 38.944, median values: 0.27117, and quantile values: 0.25 0.073934\n0.50 0.271170\n0.75 1.213250\nName: 5316, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2181396678147798, std values: 4.595306112129264, min values: 7.3125e-07, max values: 38.082, median values: 0.18312, and quantile values: 0.25 0.047129\n0.50 0.183120\n0.75 0.632910\nName: 5317, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3507694331352202, std values: 4.841317964006905, min values: 1.2028e-06, max values: 38.69, median values: 0.18252, and quantile values: 0.25 0.055805\n0.50 0.182520\n0.75 0.730915\nName: 5318, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2274980451330189, std values: 4.626278282426849, min values: 6.7075e-07, max values: 37.119, median values: 0.15528, and quantile values: 0.25 0.046078\n0.50 0.155280\n0.75 0.628775\nName: 5319, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.178393979772937, std values: 4.342971731055859, min values: 9.5477e-08, max values: 36.03, median values: 0.15447, and quantile values: 0.25 0.036431\n0.50 0.154470\n0.75 0.612855\nName: 5320, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5436188399544655, std values: 5.053267839547834, min values: 7.9426e-07, max values: 42.72, median values: 0.2349, and quantile values: 0.25 0.066723\n0.50 0.234900\n0.75 0.978740\nName: 5321, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5398158994704403, std values: 5.064634233341774, min values: 1.1859e-06, max values: 42.224, median values: 0.2287, and quantile values: 0.25 0.06573\n0.50 0.22870\n0.75 0.97395\nName: 5322, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5095757221647799, std values: 4.813052045190679, min values: 1.4157e-06, max values: 38.636, median values: 0.22442, and quantile values: 0.25 0.066546\n0.50 0.224420\n0.75 0.970000\nName: 5323, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3750288958685535, std values: 4.901814717893865, min values: 2.1192e-06, max values: 40.021, median values: 0.18455, and quantile values: 0.25 0.044069\n0.50 0.184550\n0.75 0.796800\nName: 5324, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3792722092573584, std values: 4.825543055538597, min values: 3.7622e-07, max values: 38.905, median values: 0.19192, and quantile values: 0.25 0.058651\n0.50 0.191920\n0.75 0.732710\nName: 5325, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.50292077567522, std values: 4.80843782610649, min values: 5.7742e-07, max values: 38.931, median values: 0.19704, and quantile values: 0.25 0.053474\n0.50 0.197040\n0.75 0.899160\nName: 5326, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4193011245257863, std values: 4.85874872185284, min values: 2.3423e-06, max values: 39.361, median values: 0.22184, and quantile values: 0.25 0.066916\n0.50 0.221840\n0.75 0.778350\nName: 5327, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3664837597792454, std values: 4.82587006513374, min values: 2.3439e-06, max values: 40.185, median values: 0.20015, and quantile values: 0.25 0.062443\n0.50 0.200150\n0.75 0.755095\nName: 5328, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4296765858025158, std values: 4.943939898224359, min values: 2.8483e-06, max values: 39.687, median values: 0.21432, and quantile values: 0.25 0.064869\n0.50 0.214320\n0.75 0.786975\nName: 5329, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4042691200572326, std values: 5.006304748952406, min values: 3.595e-07, max values: 42.939, median values: 0.18968, and quantile values: 0.25 0.049241\n0.50 0.189680\n0.75 0.773705\nName: 5330, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4297041193779874, std values: 4.995791560165387, min values: 1.476e-06, max values: 41.091, median values: 0.2037, and quantile values: 0.25 0.058939\n0.50 0.203700\n0.75 0.823550\nName: 5331, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4847683022402514, std values: 4.747254974730703, min values: 1.763e-07, max values: 37.276, median values: 0.20553, and quantile values: 0.25 0.060854\n0.50 0.205530\n0.75 0.906795\nName: 5332, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4593940627486794, std values: 4.956853268949852, min values: 2.7613e-07, max values: 42.395, median values: 0.19851, and quantile values: 0.25 0.047951\n0.50 0.198510\n0.75 0.867610\nName: 5333, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6952883621830188, std values: 5.206570118107478, min values: 0.0, max values: 43.296, median values: 0.28899, and quantile values: 0.25 0.082855\n0.50 0.288990\n0.75 1.167400\nName: 5334, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5999352559773585, std values: 5.091807169979153, min values: 3.1108e-06, max values: 40.743, median values: 0.27972, and quantile values: 0.25 0.07110\n0.50 0.27972\n0.75 1.03235\nName: 5335, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4697535740688679, std values: 4.953697020125337, min values: 9.9755e-07, max values: 41.16, median values: 0.23688, and quantile values: 0.25 0.067832\n0.50 0.236880\n0.75 0.918670\nName: 5336, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.293070903363522, std values: 4.6391758194686, min values: 2.362e-06, max values: 40.015, median values: 0.192, and quantile values: 0.25 0.054007\n0.50 0.192000\n0.75 0.746540\nName: 5337, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.503523836710063, std values: 5.0057813850747594, min values: 3.1176e-06, max values: 40.159, median values: 0.22783, and quantile values: 0.25 0.074126\n0.50 0.227830\n0.75 0.910505\nName: 5338, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5227765679968555, std values: 4.919829328623059, min values: 2.1398e-06, max values: 38.963, median values: 0.23737, and quantile values: 0.25 0.063303\n0.50 0.237370\n0.75 0.925885\nName: 5339, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2588454690326414, std values: 4.426179583708881, min values: 2.1459e-07, max values: 36.989, median values: 0.19008, and quantile values: 0.25 0.048810\n0.50 0.190080\n0.75 0.752765\nName: 5340, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4376783137942957, std values: 4.839930768073744, min values: 2.2093e-08, max values: 39.567, median values: 0.18045, and quantile values: 0.25 0.049226\n0.50 0.180450\n0.75 0.811935\nName: 5341, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7310915006396228, std values: 5.0730278647041676, min values: 5.2406e-06, max values: 41.258, median values: 0.30287, and quantile values: 0.25 0.086028\n0.50 0.302870\n0.75 1.107100\nName: 5342, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4074449384522012, std values: 4.8884369281167706, min values: 5.362e-07, max values: 40.377, median values: 0.17715, and quantile values: 0.25 0.046777\n0.50 0.177150\n0.75 0.763495\nName: 5343, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3264272121757863, std values: 4.713625233300057, min values: 9.2975e-07, max values: 37.591, median values: 0.17813, and quantile values: 0.25 0.060825\n0.50 0.178130\n0.75 0.729880\nName: 5344, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2250597601512014, std values: 4.706534301703118, min values: 7.4041e-08, max values: 38.024, median values: 0.14458, and quantile values: 0.25 0.041333\n0.50 0.144580\n0.75 0.629075\nName: 5345, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.405319268809434, std values: 4.927330400603145, min values: 1.0056e-06, max values: 40.658, median values: 0.20915, and quantile values: 0.25 0.063245\n0.50 0.209150\n0.75 0.827270\nName: 5346, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4140610446449058, std values: 5.079549388634727, min values: 2.7924e-07, max values: 43.947, median values: 0.191, and quantile values: 0.25 0.041287\n0.50 0.191000\n0.75 0.767695\nName: 5347, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5206428077647798, std values: 4.861946553921477, min values: 2.9365e-06, max values: 39.276, median values: 0.2827, and quantile values: 0.25 0.075424\n0.50 0.282700\n0.75 0.999635\nName: 5348, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5244259668837108, std values: 4.8303876962426, min values: 6.5351e-07, max values: 38.445, median values: 0.24317, and quantile values: 0.25 0.058674\n0.50 0.243170\n0.75 0.998175\nName: 5349, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3571458134924528, std values: 4.9921944056364955, min values: 1.0995e-06, max values: 41.176, median values: 0.20176, and quantile values: 0.25 0.056254\n0.50 0.201760\n0.75 0.742090\nName: 5350, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.171908281118868, std values: 4.671194586365728, min values: 1.7344e-06, max values: 39.696, median values: 0.1391, and quantile values: 0.25 0.045733\n0.50 0.139100\n0.75 0.540235\nName: 5351, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.365785310229522, std values: 4.583624794349448, min values: 1.8756e-08, max values: 36.467, median values: 0.16445, and quantile values: 0.25 0.034441\n0.50 0.164450\n0.75 0.786675\nName: 5352, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4080794472779874, std values: 4.8956125314387915, min values: 1.5324e-06, max values: 39.319, median values: 0.20796, and quantile values: 0.25 0.063229\n0.50 0.207960\n0.75 0.789290\nName: 5353, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.376207807499371, std values: 4.864011604248649, min values: 1.397e-06, max values: 39.736, median values: 0.1983, and quantile values: 0.25 0.050865\n0.50 0.198300\n0.75 0.745165\nName: 5354, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3257226239038993, std values: 4.651582649850419, min values: 3.9772e-07, max values: 37.249, median values: 0.18115, and quantile values: 0.25 0.049272\n0.50 0.181150\n0.75 0.737060\nName: 5355, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5229343154088049, std values: 5.114679905588216, min values: 1.1053e-06, max values: 43.003, median values: 0.23886, and quantile values: 0.25 0.064998\n0.50 0.238860\n0.75 0.915415\nName: 5356, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3553981336127043, std values: 4.954126295494581, min values: 4.1152e-07, max values: 42.62, median values: 0.19511, and quantile values: 0.25 0.055804\n0.50 0.195110\n0.75 0.766705\nName: 5357, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4632258577955972, std values: 4.931992248897425, min values: 3.1566e-06, max values: 40.084, median values: 0.22751, and quantile values: 0.25 0.062988\n0.50 0.227510\n0.75 0.784760\nName: 5358, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6495298932408806, std values: 5.176091259321427, min values: 1.9012e-06, max values: 42.684, median values: 0.25301, and quantile values: 0.25 0.070875\n0.50 0.253010\n0.75 1.136600\nName: 5359, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2669143639698113, std values: 4.760922557200021, min values: 1.8636e-06, max values: 39.87, median values: 0.16184, and quantile values: 0.25 0.052998\n0.50 0.161840\n0.75 0.654330\nName: 5360, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6965251107503145, std values: 5.256177876773082, min values: 4.6312e-06, max values: 41.28, median values: 0.29429, and quantile values: 0.25 0.069761\n0.50 0.294290\n0.75 1.043650\nName: 5361, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5835286307206917, std values: 4.896831251930992, min values: 9.9119e-07, max values: 38.745, median values: 0.2556, and quantile values: 0.25 0.068803\n0.50 0.255600\n0.75 0.995360\nName: 5362, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.583907391408805, std values: 4.966013170167906, min values: 1.2562e-06, max values: 39.504, median values: 0.25141, and quantile values: 0.25 0.069982\n0.50 0.251410\n0.75 1.028690\nName: 5363, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6047300822628932, std values: 5.206800678548195, min values: 2.751e-06, max values: 42.854, median values: 0.28481, and quantile values: 0.25 0.078244\n0.50 0.284810\n0.75 0.960390\nName: 5364, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3218949637698114, std values: 4.752791750945311, min values: 1.723e-06, max values: 39.619, median values: 0.18642, and quantile values: 0.25 0.054953\n0.50 0.186420\n0.75 0.750200\nName: 5365, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5925543066522012, std values: 5.086472704547577, min values: 4.3891e-06, max values: 40.355, median values: 0.25465, and quantile values: 0.25 0.07987\n0.50 0.25465\n0.75 0.96056\nName: 5366, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5734680866359119, std values: 4.859234117570499, min values: 9.2551e-07, max values: 37.991, median values: 0.26694, and quantile values: 0.25 0.068451\n0.50 0.266940\n0.75 1.120350\nName: 5367, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2841454965962893, std values: 4.701531258191211, min values: 3.2695e-07, max values: 38.571, median values: 0.15241, and quantile values: 0.25 0.046686\n0.50 0.152410\n0.75 0.668350\nName: 5368, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3529097044958491, std values: 4.873426719827106, min values: 7.0274e-07, max values: 39.771, median values: 0.17604, and quantile values: 0.25 0.054575\n0.50 0.176040\n0.75 0.783860\nName: 5369, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5720907863979874, std values: 4.917583743159678, min values: 2.6198e-07, max values: 40.004, median values: 0.24527, and quantile values: 0.25 0.054676\n0.50 0.245270\n0.75 0.974750\nName: 5370, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.444914330836478, std values: 4.7240413953537335, min values: 1.7889e-06, max values: 40.032, median values: 0.24936, and quantile values: 0.25 0.059452\n0.50 0.249360\n0.75 0.873730\nName: 5371, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3939740343031446, std values: 4.706029706159541, min values: 2.1651e-06, max values: 39.17, median values: 0.21053, and quantile values: 0.25 0.062526\n0.50 0.210530\n0.75 0.783560\nName: 5372, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4930876738158492, std values: 4.906539999517859, min values: 7.4072e-07, max values: 40.201, median values: 0.23678, and quantile values: 0.25 0.062679\n0.50 0.236780\n0.75 0.910950\nName: 5373, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5043958486531324, std values: 4.844333953118585, min values: 3.0588e-08, max values: 39.218, median values: 0.21821, and quantile values: 0.25 0.05183\n0.50 0.21821\n0.75 0.95191\nName: 5374, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5008900981966664, std values: 5.062219652894791, min values: 4.6427e-07, max values: 43.415, median values: 0.23966, and quantile values: 0.25 0.060708\n0.50 0.239660\n0.75 0.921130\nName: 5375, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5393682762805028, std values: 5.005977140863863, min values: 1.1591e-06, max values: 40.072, median values: 0.23637, and quantile values: 0.25 0.067548\n0.50 0.236370\n0.75 0.988015\nName: 5376, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5088217003006292, std values: 4.955101214652648, min values: 6.728e-07, max values: 40.406, median values: 0.23365, and quantile values: 0.25 0.060511\n0.50 0.233650\n0.75 0.966660\nName: 5377, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5394360214647798, std values: 4.9847836438283295, min values: 1.3277e-06, max values: 40.625, median values: 0.24436, and quantile values: 0.25 0.070806\n0.50 0.244360\n0.75 0.962345\nName: 5378, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6415168185396225, std values: 5.039345731465248, min values: 2.8491e-06, max values: 39.915, median values: 0.30014, and quantile values: 0.25 0.07232\n0.50 0.30014\n0.75 1.11820\nName: 5379, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4473166429817612, std values: 4.8314919366135145, min values: 1.0288e-06, max values: 38.486, median values: 0.21108, and quantile values: 0.25 0.060218\n0.50 0.211080\n0.75 0.893320\nName: 5380, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5673950956943397, std values: 4.926294499218919, min values: 1.7193e-06, max values: 38.698, median values: 0.25628, and quantile values: 0.25 0.069483\n0.50 0.256280\n0.75 1.013650\nName: 5381, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5485478866125788, std values: 5.174381412471671, min values: 5.2047e-06, max values: 41.557, median values: 0.22523, and quantile values: 0.25 0.063786\n0.50 0.225230\n0.75 0.913890\nName: 5382, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6562241285446544, std values: 5.058856740075652, min values: 1.7699e-06, max values: 40.701, median values: 0.24969, and quantile values: 0.25 0.073715\n0.50 0.249690\n0.75 1.096550\nName: 5383, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4415896736388552, std values: 4.724573780200151, min values: 1.9184e-08, max values: 38.931, median values: 0.18995, and quantile values: 0.25 0.036624\n0.50 0.189950\n0.75 0.874295\nName: 5384, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5239447025050314, std values: 4.9171840972594545, min values: 3.5937e-06, max values: 40.215, median values: 0.23388, and quantile values: 0.25 0.069195\n0.50 0.233880\n0.75 0.914830\nName: 5385, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.614009047054088, std values: 5.0576948188562065, min values: 3.9147e-06, max values: 40.096, median values: 0.26413, and quantile values: 0.25 0.072810\n0.50 0.264130\n0.75 0.988125\nName: 5386, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5306315038056602, std values: 4.897464117724519, min values: 2.1883e-06, max values: 39.002, median values: 0.23759, and quantile values: 0.25 0.073097\n0.50 0.237590\n0.75 0.944300\nName: 5387, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4863995324014465, std values: 4.922740399327942, min values: 4.7943e-07, max values: 39.194, median values: 0.21142, and quantile values: 0.25 0.059644\n0.50 0.211420\n0.75 0.933180\nName: 5388, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3922172173572327, std values: 4.791945979328591, min values: 2.0123e-06, max values: 39.946, median values: 0.21675, and quantile values: 0.25 0.059105\n0.50 0.216750\n0.75 0.805120\nName: 5389, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4718644433421382, std values: 5.0371163319487575, min values: 1.9694e-06, max values: 41.44, median values: 0.22707, and quantile values: 0.25 0.066060\n0.50 0.227070\n0.75 0.857635\nName: 5390, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7753981790257864, std values: 5.096955959575919, min values: 0.0, max values: 39.767, median values: 0.35042, and quantile values: 0.25 0.079813\n0.50 0.350420\n0.75 1.263700\nName: 5391, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3415783351314714, std values: 4.798692778860784, min values: 2.5881e-08, max values: 40.625, median values: 0.1842, and quantile values: 0.25 0.038904\n0.50 0.184200\n0.75 0.709175\nName: 5392, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5596295740013209, std values: 4.966602715738911, min values: 1.4671e-07, max values: 41.261, median values: 0.23587, and quantile values: 0.25 0.063015\n0.50 0.235870\n0.75 0.998295\nName: 5393, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.433739876109308, std values: 4.968311477901178, min values: 2.7188e-07, max values: 42.237, median values: 0.17751, and quantile values: 0.25 0.057844\n0.50 0.177510\n0.75 0.810610\nName: 5394, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8981828642515723, std values: 5.268582172265862, min values: 2.765e-06, max values: 42.005, median values: 0.34179, and quantile values: 0.25 0.102865\n0.50 0.341790\n0.75 1.331650\nName: 5395, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.543614899654151, std values: 5.166015640601408, min values: 7.5471e-07, max values: 44.807, median values: 0.2457, and quantile values: 0.25 0.059243\n0.50 0.245700\n0.75 1.012365\nName: 5396, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6681835201368551, std values: 5.167970274572026, min values: 4.9676e-07, max values: 43.59, median values: 0.26676, and quantile values: 0.25 0.067511\n0.50 0.266760\n0.75 1.048250\nName: 5397, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2498536181540882, std values: 4.682496081390479, min values: 1.3235e-07, max values: 38.094, median values: 0.14373, and quantile values: 0.25 0.041230\n0.50 0.143730\n0.75 0.646115\nName: 5398, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2430491140955346, std values: 4.562699460217838, min values: 5.1224e-07, max values: 36.431, median values: 0.12872, and quantile values: 0.25 0.041425\n0.50 0.128720\n0.75 0.631080\nName: 5399, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6199008225201257, std values: 5.193232161294194, min values: 1.1586e-06, max values: 43.683, median values: 0.24005, and quantile values: 0.25 0.070822\n0.50 0.240050\n0.75 1.012930\nName: 5400, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.503661921565409, std values: 4.9275149251996435, min values: 4.9169e-06, max values: 41.33, median values: 0.22964, and quantile values: 0.25 0.073093\n0.50 0.229640\n0.75 0.804580\nName: 5401, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4172122680484278, std values: 5.182183609712746, min values: 3.2994e-06, max values: 42.546, median values: 0.19182, and quantile values: 0.25 0.055225\n0.50 0.191820\n0.75 0.728825\nName: 5402, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5220136571679246, std values: 5.016735370659803, min values: 1.1901e-06, max values: 41.593, median values: 0.2008, and quantile values: 0.25 0.066175\n0.50 0.200800\n0.75 0.908400\nName: 5403, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.476183209276101, std values: 4.784057595344162, min values: 2.6429e-06, max values: 39.06, median values: 0.2343, and quantile values: 0.25 0.066985\n0.50 0.234300\n0.75 0.904985\nName: 5404, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.504152686881132, std values: 4.920556956786564, min values: 2.1566e-06, max values: 39.397, median values: 0.24153, and quantile values: 0.25 0.067450\n0.50 0.241530\n0.75 0.941585\nName: 5405, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3384664554165409, std values: 4.4366904820489985, min values: 4.234e-07, max values: 36.665, median values: 0.19884, and quantile values: 0.25 0.051545\n0.50 0.198840\n0.75 0.827375\nName: 5406, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3627264008570503, std values: 4.765814298034601, min values: 2.1651e-08, max values: 38.795, median values: 0.19696, and quantile values: 0.25 0.048946\n0.50 0.196960\n0.75 0.736895\nName: 5407, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.0711216466772329, std values: 4.56659309289126, min values: 3.3578e-07, max values: 37.795, median values: 0.096176, and quantile values: 0.25 0.031601\n0.50 0.096176\n0.75 0.474320\nName: 5408, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.820780473408176, std values: 5.351612412905614, min values: 5.7819e-06, max values: 41.632, median values: 0.31815, and quantile values: 0.25 0.090819\n0.50 0.318150\n0.75 1.211200\nName: 5409, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4421341219580943, std values: 4.794354687665785, min values: 2.0957e-08, max values: 38.578, median values: 0.20293, and quantile values: 0.25 0.054172\n0.50 0.202930\n0.75 0.857690\nName: 5410, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4773099794716982, std values: 5.1514703118124165, min values: 2.6724e-06, max values: 43.053, median values: 0.22011, and quantile values: 0.25 0.068268\n0.50 0.220110\n0.75 0.797515\nName: 5411, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.61144625798239, std values: 5.303281864824076, min values: 4.2246e-06, max values: 44.289, median values: 0.25764, and quantile values: 0.25 0.069919\n0.50 0.257640\n0.75 0.934385\nName: 5412, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2957778332075471, std values: 4.82275283238957, min values: 2.5555e-06, max values: 40.493, median values: 0.16028, and quantile values: 0.25 0.049511\n0.50 0.160280\n0.75 0.610910\nName: 5413, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7085035535666668, std values: 5.1880586994773035, min values: 1.158e-06, max values: 42.197, median values: 0.251, and quantile values: 0.25 0.06670\n0.50 0.25100\n0.75 1.11645\nName: 5414, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8241732185314463, std values: 5.54772503284302, min values: 4.27e-06, max values: 46.148, median values: 0.29565, and quantile values: 0.25 0.084456\n0.50 0.295650\n0.75 1.211450\nName: 5415, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4413466283633962, std values: 4.9036062963616525, min values: 3.4788e-07, max values: 40.425, median values: 0.19782, and quantile values: 0.25 0.052299\n0.50 0.197820\n0.75 0.842820\nName: 5416, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4924866319849055, std values: 5.004347514864453, min values: 2.3198e-06, max values: 40.143, median values: 0.23634, and quantile values: 0.25 0.067679\n0.50 0.236340\n0.75 0.900870\nName: 5417, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4745652729251573, std values: 4.8222255285404065, min values: 2.2564e-06, max values: 39.553, median values: 0.24284, and quantile values: 0.25 0.067534\n0.50 0.242840\n0.75 0.889795\nName: 5418, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6027356773754717, std values: 4.964526750875979, min values: 1.6786e-06, max values: 39.016, median values: 0.24659, and quantile values: 0.25 0.069797\n0.50 0.246590\n0.75 0.990695\nName: 5419, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.401981188891195, std values: 4.920010255084932, min values: 1.538e-06, max values: 39.662, median values: 0.20064, and quantile values: 0.25 0.056307\n0.50 0.200640\n0.75 0.837325\nName: 5420, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7067995134025156, std values: 5.312825293957332, min values: 8.413e-06, max values: 42.121, median values: 0.28631, and quantile values: 0.25 0.072268\n0.50 0.286310\n0.75 0.998270\nName: 5421, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3605065480635221, std values: 4.798729708576438, min values: 2.1133e-06, max values: 38.836, median values: 0.17889, and quantile values: 0.25 0.060939\n0.50 0.178890\n0.75 0.720195\nName: 5422, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5744641970232705, std values: 4.968681597025105, min values: 2.5334e-06, max values: 40.077, median values: 0.28057, and quantile values: 0.25 0.076398\n0.50 0.280570\n0.75 0.930595\nName: 5423, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2221435008838744, std values: 4.535569792463997, min values: 1.4556e-08, max values: 36.649, median values: 0.14724, and quantile values: 0.25 0.036954\n0.50 0.147240\n0.75 0.608405\nName: 5424, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4544805166226413, std values: 5.117896082477054, min values: 5.2365e-06, max values: 41.8, median values: 0.20231, and quantile values: 0.25 0.059038\n0.50 0.202310\n0.75 0.703590\nName: 5425, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.242116313272956, std values: 4.475865252580653, min values: 0.0, max values: 38.169, median values: 0.18391, and quantile values: 0.25 0.054276\n0.50 0.183910\n0.75 0.672500\nName: 5426, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4325622982904405, std values: 4.729521376624165, min values: 3.8498e-07, max values: 37.33, median values: 0.23489, and quantile values: 0.25 0.061069\n0.50 0.234890\n0.75 0.897195\nName: 5427, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.399630129463742, std values: 4.717287420932963, min values: 8.3235e-08, max values: 37.446, median values: 0.18861, and quantile values: 0.25 0.05471\n0.50 0.18861\n0.75 0.84325\nName: 5428, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5424364479339623, std values: 4.989726651942912, min values: 1.4315e-06, max values: 40.484, median values: 0.2461, and quantile values: 0.25 0.073663\n0.50 0.246100\n0.75 0.974620\nName: 5429, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3124464356685535, std values: 4.610097486505436, min values: 1.6855e-06, max values: 38.916, median values: 0.18562, and quantile values: 0.25 0.052825\n0.50 0.185620\n0.75 0.729900\nName: 5430, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7062512366471696, std values: 5.3490319341210695, min values: 9.6359e-06, max values: 42.347, median values: 0.28242, and quantile values: 0.25 0.075470\n0.50 0.282420\n0.75 0.982055\nName: 5431, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4230562746089936, std values: 4.640115604375369, min values: 8.1283e-07, max values: 37.631, median values: 0.23257, and quantile values: 0.25 0.062929\n0.50 0.232570\n0.75 0.921620\nName: 5432, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3150244541798113, std values: 4.585715064659183, min values: 1.1889e-07, max values: 36.072, median values: 0.15248, and quantile values: 0.25 0.038471\n0.50 0.152480\n0.75 0.726005\nName: 5433, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.392128585878371, std values: 4.625512382514576, min values: 1.8761e-08, max values: 36.793, median values: 0.19781, and quantile values: 0.25 0.046117\n0.50 0.197810\n0.75 0.762765\nName: 5434, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4568644513081759, std values: 4.71553012338861, min values: 3.9775e-06, max values: 40.13, median values: 0.24304, and quantile values: 0.25 0.074064\n0.50 0.243040\n0.75 0.849295\nName: 5435, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7646625594415093, std values: 5.063047020169509, min values: 4.1683e-06, max values: 40.108, median values: 0.29488, and quantile values: 0.25 0.086579\n0.50 0.294880\n0.75 1.222950\nName: 5436, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4869851477701888, std values: 4.79850091470848, min values: 8.3556e-07, max values: 38.225, median values: 0.24161, and quantile values: 0.25 0.067357\n0.50 0.241610\n0.75 0.959275\nName: 5437, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.399977684401887, std values: 4.7558166771506825, min values: 1.3095e-06, max values: 38.208, median values: 0.21477, and quantile values: 0.25 0.064103\n0.50 0.214770\n0.75 0.833425\nName: 5438, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.640145369854717, std values: 5.056244962634664, min values: 4.5317e-06, max values: 39.979, median values: 0.28472, and quantile values: 0.25 0.078342\n0.50 0.284720\n0.75 1.013385\nName: 5439, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.419380236456604, std values: 4.554110254416485, min values: 1.5693e-06, max values: 37.387, median values: 0.22674, and quantile values: 0.25 0.066343\n0.50 0.226740\n0.75 0.914010\nName: 5440, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.524634376415094, std values: 4.945224886989755, min values: 3.243e-06, max values: 39.777, median values: 0.2426, and quantile values: 0.25 0.075618\n0.50 0.242600\n0.75 0.935610\nName: 5441, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4986656151330817, std values: 4.883053569400538, min values: 4.5686e-07, max values: 38.907, median values: 0.20404, and quantile values: 0.25 0.059285\n0.50 0.204040\n0.75 0.947270\nName: 5442, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4463532262031444, std values: 5.084375121979555, min values: 3.6766e-06, max values: 40.924, median values: 0.20739, and quantile values: 0.25 0.058147\n0.50 0.207390\n0.75 0.791035\nName: 5443, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4777321223572326, std values: 4.699056590481938, min values: 1.665e-06, max values: 39.315, median values: 0.23574, and quantile values: 0.25 0.06431\n0.50 0.23574\n0.75 0.93663\nName: 5444, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.602793625854088, std values: 4.93669146895092, min values: 1.8745e-06, max values: 38.6, median values: 0.24526, and quantile values: 0.25 0.072696\n0.50 0.245260\n0.75 1.061300\nName: 5445, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.390780708573585, std values: 4.678449959158665, min values: 2.3921e-06, max values: 39.819, median values: 0.1898, and quantile values: 0.25 0.059022\n0.50 0.189800\n0.75 0.826555\nName: 5446, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4935404817263083, std values: 4.746213471702107, min values: 2.7533e-08, max values: 37.443, median values: 0.19058, and quantile values: 0.25 0.049879\n0.50 0.190580\n0.75 0.937250\nName: 5447, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4171520600385852, std values: 4.884424627224555, min values: 9.2235e-08, max values: 40.53, median values: 0.19084, and quantile values: 0.25 0.052936\n0.50 0.190840\n0.75 0.864580\nName: 5448, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2986595455333334, std values: 4.560579754357514, min values: 1.6568e-06, max values: 38.216, median values: 0.18264, and quantile values: 0.25 0.054799\n0.50 0.182640\n0.75 0.737495\nName: 5449, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3121255183638993, std values: 4.701975836165084, min values: 4.8536e-07, max values: 38.266, median values: 0.16041, and quantile values: 0.25 0.049088\n0.50 0.160410\n0.75 0.650415\nName: 5450, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4295847965471697, std values: 4.784568873095591, min values: 2.2123e-06, max values: 39.473, median values: 0.21676, and quantile values: 0.25 0.063768\n0.50 0.216760\n0.75 0.862815\nName: 5451, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7628469194641507, std values: 5.366603441688881, min values: 2.9701e-06, max values: 44.681, median values: 0.29067, and quantile values: 0.25 0.080566\n0.50 0.290670\n0.75 1.192100\nName: 5452, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3329414384741507, std values: 4.623846080330683, min values: 3.4919e-07, max values: 37.39, median values: 0.20336, and quantile values: 0.25 0.049950\n0.50 0.203360\n0.75 0.752675\nName: 5453, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7368382575874215, std values: 5.1456730465823926, min values: 2.6827e-06, max values: 40.432, median values: 0.28232, and quantile values: 0.25 0.087629\n0.50 0.282320\n0.75 1.172750\nName: 5454, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6664839319251574, std values: 5.296021979466995, min values: 8.6071e-06, max values: 41.913, median values: 0.25919, and quantile values: 0.25 0.083362\n0.50 0.259190\n0.75 0.926270\nName: 5455, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.652711216490566, std values: 5.090998461660354, min values: 1.0556e-06, max values: 41.909, median values: 0.29029, and quantile values: 0.25 0.07229\n0.50 0.29029\n0.75 1.14160\nName: 5456, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6143810596861636, std values: 5.186915733249551, min values: 2.3652e-06, max values: 42.736, median values: 0.25416, and quantile values: 0.25 0.069562\n0.50 0.254160\n0.75 1.000610\nName: 5457, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3123846752396224, std values: 4.797001288572487, min values: 2.2896e-06, max values: 39.51, median values: 0.19231, and quantile values: 0.25 0.05383\n0.50 0.19231\n0.75 0.72877\nName: 5458, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4253825319679243, std values: 4.937905578538916, min values: 1.2978e-06, max values: 40.24, median values: 0.24055, and quantile values: 0.25 0.065459\n0.50 0.240550\n0.75 0.900925\nName: 5459, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6389357908861635, std values: 4.943813913865937, min values: 1.084e-06, max values: 38.625, median values: 0.25959, and quantile values: 0.25 0.072386\n0.50 0.259590\n0.75 1.167450\nName: 5460, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4515762093220126, std values: 5.048405812069253, min values: 1.7951e-06, max values: 41.158, median values: 0.20449, and quantile values: 0.25 0.056695\n0.50 0.204490\n0.75 0.860830\nName: 5461, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4123984664867923, std values: 4.77888274717374, min values: 1.1631e-06, max values: 38.602, median values: 0.2331, and quantile values: 0.25 0.066160\n0.50 0.233100\n0.75 0.807905\nName: 5462, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3935827563113208, std values: 4.655152665343985, min values: 1.1692e-06, max values: 38.245, median values: 0.22742, and quantile values: 0.25 0.061257\n0.50 0.227420\n0.75 0.844960\nName: 5463, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6277340996729561, std values: 5.019666603841307, min values: 1.2965e-06, max values: 40.354, median values: 0.27031, and quantile values: 0.25 0.069311\n0.50 0.270310\n0.75 1.099250\nName: 5464, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.506360572643585, std values: 5.044835566667446, min values: 5.9833e-07, max values: 42.343, median values: 0.23127, and quantile values: 0.25 0.059728\n0.50 0.231270\n0.75 0.860960\nName: 5465, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4916395860707548, std values: 4.778939002158015, min values: 1.7905e-07, max values: 37.737, median values: 0.21417, and quantile values: 0.25 0.047989\n0.50 0.214170\n0.75 0.951075\nName: 5466, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3913466383289559, std values: 4.775341803264514, min values: 8.0204e-08, max values: 38.64, median values: 0.20146, and quantile values: 0.25 0.054484\n0.50 0.201460\n0.75 0.831420\nName: 5467, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3864879657582387, std values: 4.875033166484778, min values: 2.7197e-07, max values: 40.9, median values: 0.20394, and quantile values: 0.25 0.053817\n0.50 0.203940\n0.75 0.802780\nName: 5468, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.253692858655346, std values: 4.6755689462693955, min values: 1.6009e-06, max values: 38.675, median values: 0.17178, and quantile values: 0.25 0.055538\n0.50 0.171780\n0.75 0.692015\nName: 5469, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8278026751408805, std values: 5.51155358502082, min values: 2.7565e-06, max values: 46.831, median values: 0.31412, and quantile values: 0.25 0.079897\n0.50 0.314120\n0.75 1.267950\nName: 5470, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3625232982883522, std values: 4.96729998979754, min values: 2.9158e-08, max values: 43.272, median values: 0.17872, and quantile values: 0.25 0.038534\n0.50 0.178720\n0.75 0.709405\nName: 5471, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2798879608297484, std values: 4.504337048267544, min values: 2.216e-08, max values: 36.38, median values: 0.16969, and quantile values: 0.25 0.042567\n0.50 0.169690\n0.75 0.683945\nName: 5472, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5056416181509436, std values: 4.990110598764188, min values: 2.4335e-06, max values: 39.726, median values: 0.21813, and quantile values: 0.25 0.069081\n0.50 0.218130\n0.75 0.800425\nName: 5473, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3212965597263522, std values: 4.712419456518225, min values: 1.7184e-07, max values: 38.256, median values: 0.18255, and quantile values: 0.25 0.048593\n0.50 0.182550\n0.75 0.736325\nName: 5474, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.458757357727044, std values: 5.075971190795175, min values: 3.8613e-06, max values: 40.586, median values: 0.20054, and quantile values: 0.25 0.074121\n0.50 0.200540\n0.75 0.784635\nName: 5475, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5447309460263523, std values: 4.967989275861838, min values: 7.1099e-07, max values: 40.921, median values: 0.21452, and quantile values: 0.25 0.055170\n0.50 0.214520\n0.75 0.933485\nName: 5476, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8276799295113204, std values: 5.500584115777934, min values: 1.5791e-06, max values: 47.676, median values: 0.29114, and quantile values: 0.25 0.073588\n0.50 0.291140\n0.75 1.309850\nName: 5477, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4399395823308807, std values: 4.896968464671254, min values: 8.7921e-07, max values: 39.581, median values: 0.22104, and quantile values: 0.25 0.061158\n0.50 0.221040\n0.75 0.869960\nName: 5478, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6467614479860377, std values: 4.860425206081938, min values: 3.6278e-07, max values: 37.758, median values: 0.31149, and quantile values: 0.25 0.07914\n0.50 0.31149\n0.75 1.15955\nName: 5479, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4917125398572326, std values: 4.8440369886624515, min values: 1.1396e-06, max values: 39.073, median values: 0.21218, and quantile values: 0.25 0.057556\n0.50 0.212180\n0.75 0.985540\nName: 5480, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3247643784050316, std values: 4.732323191579435, min values: 1.4053e-06, max values: 38.533, median values: 0.18027, and quantile values: 0.25 0.05233\n0.50 0.18027\n0.75 0.73499\nName: 5481, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.409120635181132, std values: 4.867763632560392, min values: 1.7651e-06, max values: 39.154, median values: 0.24382, and quantile values: 0.25 0.067236\n0.50 0.243820\n0.75 0.814930\nName: 5482, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.134715657854717, std values: 4.488292982962087, min values: 1.0166e-06, max values: 38.176, median values: 0.14445, and quantile values: 0.25 0.044144\n0.50 0.144450\n0.75 0.513295\nName: 5483, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1185423711392957, std values: 4.385802450224651, min values: 2.0958e-08, max values: 35.395, median values: 0.10698, and quantile values: 0.25 0.027004\n0.50 0.106980\n0.75 0.498005\nName: 5484, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6270009383779875, std values: 4.894128621928922, min values: 3.4081e-06, max values: 38.878, median values: 0.26404, and quantile values: 0.25 0.079026\n0.50 0.264040\n0.75 1.075900\nName: 5485, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.580975833164906, std values: 5.020361439958039, min values: 9.8292e-07, max values: 41.072, median values: 0.27205, and quantile values: 0.25 0.071779\n0.50 0.272050\n0.75 1.047650\nName: 5486, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.339108213970503, std values: 4.683250029555258, min values: 5.0521e-07, max values: 37.514, median values: 0.19966, and quantile values: 0.25 0.057916\n0.50 0.199660\n0.75 0.764005\nName: 5487, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3785512230112578, std values: 4.743950481608896, min values: 7.6899e-07, max values: 38.507, median values: 0.17603, and quantile values: 0.25 0.056612\n0.50 0.176030\n0.75 0.795935\nName: 5488, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6527324718125784, std values: 5.318177906356579, min values: 2.38e-06, max values: 44.954, median values: 0.26116, and quantile values: 0.25 0.062579\n0.50 0.261160\n0.75 1.124250\nName: 5489, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5566099885201259, std values: 5.195622252275351, min values: 2.13e-06, max values: 42.867, median values: 0.23289, and quantile values: 0.25 0.065085\n0.50 0.232890\n0.75 0.915310\nName: 5490, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4180518982424968, std values: 4.859444732941371, min values: 2.1107e-08, max values: 40.617, median values: 0.19801, and quantile values: 0.25 0.045603\n0.50 0.198010\n0.75 0.759095\nName: 5491, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5280110711452828, std values: 4.852139818738676, min values: 2.394e-06, max values: 39.487, median values: 0.23324, and quantile values: 0.25 0.066806\n0.50 0.233240\n0.75 1.022900\nName: 5492, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4974540889767296, std values: 4.896504899320857, min values: 1.196e-06, max values: 39.117, median values: 0.22695, and quantile values: 0.25 0.066330\n0.50 0.226950\n0.75 0.908535\nName: 5493, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4785786552126414, std values: 4.794396918692287, min values: 8.9701e-07, max values: 37.669, median values: 0.22288, and quantile values: 0.25 0.060083\n0.50 0.222880\n0.75 0.924485\nName: 5494, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.425531464889308, std values: 4.8295807342216, min values: 2.977e-06, max values: 40.169, median values: 0.23724, and quantile values: 0.25 0.065699\n0.50 0.237240\n0.75 0.796890\nName: 5495, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5190384871333331, std values: 5.054214470170754, min values: 1.7586e-06, max values: 41.519, median values: 0.21029, and quantile values: 0.25 0.065259\n0.50 0.210290\n0.75 0.869290\nName: 5496, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5150086549716981, std values: 5.166412260714533, min values: 1.1935e-06, max values: 44.393, median values: 0.23625, and quantile values: 0.25 0.064284\n0.50 0.236250\n0.75 0.822410\nName: 5497, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6980155716635221, std values: 5.109705787655025, min values: 2.5264e-06, max values: 40.926, median values: 0.29397, and quantile values: 0.25 0.080006\n0.50 0.293970\n0.75 1.124500\nName: 5498, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5450256664226416, std values: 4.814564415067046, min values: 1.7874e-06, max values: 38.906, median values: 0.28997, and quantile values: 0.25 0.07035\n0.50 0.28997\n0.75 0.96415\nName: 5499, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3053166645371068, std values: 4.927874418179304, min values: 2.1266e-06, max values: 39.972, median values: 0.17589, and quantile values: 0.25 0.055346\n0.50 0.175890\n0.75 0.703275\nName: 5500, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3538668394126414, std values: 4.8251436696480186, min values: 8.4121e-07, max values: 38.592, median values: 0.18998, and quantile values: 0.25 0.052343\n0.50 0.189980\n0.75 0.761665\nName: 5501, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.415126770531176, std values: 4.779330948483681, min values: 9.2557e-08, max values: 38.352, median values: 0.18902, and quantile values: 0.25 0.048648\n0.50 0.189020\n0.75 0.805640\nName: 5502, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5915077352437108, std values: 5.0265427395534035, min values: 8.9525e-07, max values: 41.184, median values: 0.2175, and quantile values: 0.25 0.056425\n0.50 0.217500\n0.75 1.019305\nName: 5503, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.573196791520126, std values: 5.183088912565799, min values: 2.753e-06, max values: 43.228, median values: 0.24565, and quantile values: 0.25 0.068141\n0.50 0.245650\n0.75 0.963360\nName: 5504, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4999566921559118, std values: 4.922619984270333, min values: 5.1029e-07, max values: 40.499, median values: 0.23208, and quantile values: 0.25 0.054156\n0.50 0.232080\n0.75 0.863410\nName: 5505, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4009897409658745, std values: 4.781057743362237, min values: 1.8944e-08, max values: 39.501, median values: 0.1816, and quantile values: 0.25 0.039718\n0.50 0.181600\n0.75 0.765215\nName: 5506, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5608690034204402, std values: 5.086386327866984, min values: 9.9965e-07, max values: 42.453, median values: 0.21197, and quantile values: 0.25 0.063974\n0.50 0.211970\n0.75 1.033650\nName: 5507, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4623043081733584, std values: 4.719339134156495, min values: 2.8094e-08, max values: 36.996, median values: 0.19895, and quantile values: 0.25 0.052928\n0.50 0.198950\n0.75 0.906835\nName: 5508, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5311766015201258, std values: 5.091657521462607, min values: 4.102e-06, max values: 40.463, median values: 0.27116, and quantile values: 0.25 0.069693\n0.50 0.271160\n0.75 0.908540\nName: 5509, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6092213080861635, std values: 4.981286887885109, min values: 1.5748e-06, max values: 39.376, median values: 0.25217, and quantile values: 0.25 0.073814\n0.50 0.252170\n0.75 1.072030\nName: 5510, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4898916722000002, std values: 4.994394223291964, min values: 1.3104e-06, max values: 41.619, median values: 0.24667, and quantile values: 0.25 0.068631\n0.50 0.246670\n0.75 0.900355\nName: 5511, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3493070107008174, std values: 4.6332727857454765, min values: 7.8773e-07, max values: 37.814, median values: 0.18546, and quantile values: 0.25 0.054411\n0.50 0.185460\n0.75 0.835215\nName: 5512, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1586827944345912, std values: 4.451086242369797, min values: 1.5922e-07, max values: 35.922, median values: 0.12497, and quantile values: 0.25 0.031724\n0.50 0.124970\n0.75 0.562270\nName: 5513, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4210140016103772, std values: 4.93923896779562, min values: 9.0575e-07, max values: 40.776, median values: 0.23345, and quantile values: 0.25 0.060683\n0.50 0.233450\n0.75 0.798505\nName: 5514, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.020478234523711, std values: 4.399767185730243, min values: 7.6807e-07, max values: 38.441, median values: 0.11362, and quantile values: 0.25 0.036504\n0.50 0.113620\n0.75 0.432440\nName: 5515, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2148210857691195, std values: 4.676825586117302, min values: 7.1749e-07, max values: 38.307, median values: 0.14562, and quantile values: 0.25 0.043247\n0.50 0.145620\n0.75 0.639225\nName: 5516, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3271518881220126, std values: 4.591897230163057, min values: 1.0673e-06, max values: 38.791, median values: 0.15758, and quantile values: 0.25 0.059141\n0.50 0.157580\n0.75 0.779880\nName: 5517, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7044411664220127, std values: 4.842320667459166, min values: 3.6703e-06, max values: 39.339, median values: 0.33485, and quantile values: 0.25 0.090475\n0.50 0.334850\n0.75 1.229200\nName: 5518, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5245541621208176, std values: 4.817669543108769, min values: 2.2441e-07, max values: 38.216, median values: 0.22646, and quantile values: 0.25 0.058772\n0.50 0.226460\n0.75 0.920480\nName: 5519, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4559187742874216, std values: 4.767126569879237, min values: 2.6087e-06, max values: 38.889, median values: 0.24023, and quantile values: 0.25 0.069352\n0.50 0.240230\n0.75 0.897735\nName: 5520, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3552939035732077, std values: 4.574148323658028, min values: 3.6673e-07, max values: 36.448, median values: 0.19271, and quantile values: 0.25 0.046638\n0.50 0.192710\n0.75 0.731175\nName: 5521, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3370023706922012, std values: 4.69262953019192, min values: 6.8566e-07, max values: 38.88, median values: 0.18463, and quantile values: 0.25 0.056105\n0.50 0.184630\n0.75 0.781780\nName: 5522, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4265781979861005, std values: 4.772477181645742, min values: 3.6749e-07, max values: 38.642, median values: 0.19855, and quantile values: 0.25 0.049006\n0.50 0.198550\n0.75 0.825410\nName: 5523, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5054192532268558, std values: 5.196539810860396, min values: 4.9467e-07, max values: 44.874, median values: 0.20556, and quantile values: 0.25 0.058095\n0.50 0.205560\n0.75 0.921245\nName: 5524, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4141304779140882, std values: 4.8010197318910475, min values: 9.7824e-07, max values: 38.201, median values: 0.19932, and quantile values: 0.25 0.055588\n0.50 0.199320\n0.75 0.809120\nName: 5525, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.483212899191824, std values: 5.016638417406405, min values: 2.555e-06, max values: 40.711, median values: 0.21845, and quantile values: 0.25 0.057028\n0.50 0.218450\n0.75 0.856160\nName: 5526, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4879021935540881, std values: 4.99667879357029, min values: 2.7355e-06, max values: 40.131, median values: 0.23279, and quantile values: 0.25 0.065763\n0.50 0.232790\n0.75 0.891930\nName: 5527, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6214656942503145, std values: 5.142919616291058, min values: 3.5606e-06, max values: 40.974, median values: 0.23542, and quantile values: 0.25 0.073352\n0.50 0.235420\n0.75 1.010880\nName: 5528, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2552615128578617, std values: 4.597192121702649, min values: 1.2095e-06, max values: 38.866, median values: 0.16351, and quantile values: 0.25 0.052879\n0.50 0.163510\n0.75 0.712915\nName: 5529, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.675784629554717, std values: 5.104778388824507, min values: 1.3772e-06, max values: 41.424, median values: 0.26601, and quantile values: 0.25 0.08072\n0.50 0.26601\n0.75 1.09760\nName: 5530, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5719642856981886, std values: 5.0896486396550324, min values: 2.2072e-08, max values: 43.961, median values: 0.24085, and quantile values: 0.25 0.04773\n0.50 0.24085\n0.75 0.94669\nName: 5531, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7206814790635223, std values: 5.117162829148722, min values: 2.5565e-06, max values: 40.851, median values: 0.29647, and quantile values: 0.25 0.087053\n0.50 0.296470\n0.75 1.227100\nName: 5532, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5860889422503144, std values: 5.01997874146127, min values: 3.5563e-06, max values: 39.379, median values: 0.26348, and quantile values: 0.25 0.078213\n0.50 0.263480\n0.75 0.924690\nName: 5533, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4598301090981132, std values: 5.059114383290285, min values: 2.3208e-06, max values: 41.648, median values: 0.22248, and quantile values: 0.25 0.059152\n0.50 0.222480\n0.75 0.835615\nName: 5534, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3359278216128934, std values: 4.819397344221126, min values: 1.0362e-07, max values: 40.014, median values: 0.15996, and quantile values: 0.25 0.039151\n0.50 0.159960\n0.75 0.641395\nName: 5535, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2785438495357861, std values: 4.740401314002345, min values: 3.9749e-07, max values: 38.594, median values: 0.17087, and quantile values: 0.25 0.046693\n0.50 0.170870\n0.75 0.657345\nName: 5536, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5041046580162893, std values: 4.784017395294507, min values: 4.7639e-07, max values: 37.878, median values: 0.199, and quantile values: 0.25 0.052201\n0.50 0.199000\n0.75 0.928305\nName: 5537, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5388401000081762, std values: 5.05721382068966, min values: 3.4827e-06, max values: 40.353, median values: 0.24374, and quantile values: 0.25 0.076762\n0.50 0.243740\n0.75 0.899265\nName: 5538, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4381002436949686, std values: 4.928101489482892, min values: 1.9656e-06, max values: 39.367, median values: 0.22483, and quantile values: 0.25 0.066948\n0.50 0.224830\n0.75 0.878110\nName: 5539, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.444269114331069, std values: 5.024598737577315, min values: 9.1204e-07, max values: 42.405, median values: 0.21035, and quantile values: 0.25 0.055188\n0.50 0.210350\n0.75 0.787935\nName: 5540, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7112300180006288, std values: 5.297374856981572, min values: 1.262e-06, max values: 45.263, median values: 0.24723, and quantile values: 0.25 0.076475\n0.50 0.247230\n0.75 1.178550\nName: 5541, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4356264586331322, std values: 4.730253490016161, min values: 2.0598e-08, max values: 37.802, median values: 0.21386, and quantile values: 0.25 0.048980\n0.50 0.213860\n0.75 0.817015\nName: 5542, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5154580037237737, std values: 4.89845864302233, min values: 8.6878e-07, max values: 38.823, median values: 0.267, and quantile values: 0.25 0.060119\n0.50 0.267000\n0.75 0.983675\nName: 5543, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.500969975325912, std values: 4.723716977300528, min values: 5.3552e-07, max values: 37.392, median values: 0.21539, and quantile values: 0.25 0.068838\n0.50 0.215390\n0.75 0.974390\nName: 5544, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3244442257086795, std values: 4.64250031534406, min values: 2.7158e-07, max values: 37.459, median values: 0.19294, and quantile values: 0.25 0.048071\n0.50 0.192940\n0.75 0.730250\nName: 5545, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5182070314723273, std values: 4.997469632135408, min values: 3.1375e-06, max values: 39.638, median values: 0.23261, and quantile values: 0.25 0.065109\n0.50 0.232610\n0.75 0.934155\nName: 5546, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2834413259182391, std values: 5.157827257838712, min values: 3.0449e-06, max values: 42.993, median values: 0.15058, and quantile values: 0.25 0.043605\n0.50 0.150580\n0.75 0.545095\nName: 5547, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.261664546454478, std values: 4.501270764234735, min values: 1.7612e-08, max values: 37.113, median values: 0.16261, and quantile values: 0.25 0.047832\n0.50 0.162610\n0.75 0.747465\nName: 5548, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6347665979745911, std values: 5.009346741741455, min values: 2.6206e-07, max values: 41.016, median values: 0.25441, and quantile values: 0.25 0.061322\n0.50 0.254410\n0.75 1.141100\nName: 5549, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5463808664939622, std values: 4.926235726459414, min values: 5.8304e-07, max values: 39.623, median values: 0.25252, and quantile values: 0.25 0.065050\n0.50 0.252520\n0.75 0.978145\nName: 5550, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3852559360545535, std values: 4.753692698105344, min values: 1.7469e-08, max values: 39.311, median values: 0.19441, and quantile values: 0.25 0.043029\n0.50 0.194410\n0.75 0.762375\nName: 5551, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4252227034850944, std values: 4.877117032737092, min values: 2.3043e-07, max values: 40.176, median values: 0.19574, and quantile values: 0.25 0.052153\n0.50 0.195740\n0.75 0.769520\nName: 5552, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3107587201947168, std values: 4.5049959375703805, min values: 5.0866e-07, max values: 37.488, median values: 0.17388, and quantile values: 0.25 0.049210\n0.50 0.173880\n0.75 0.725645\nName: 5553, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6162242773245286, std values: 5.129133937944692, min values: 4.2235e-06, max values: 41.307, median values: 0.27783, and quantile values: 0.25 0.076569\n0.50 0.277830\n0.75 0.995645\nName: 5554, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5080613617943395, std values: 5.0084543879609935, min values: 4.9563e-06, max values: 40.951, median values: 0.23934, and quantile values: 0.25 0.070026\n0.50 0.239340\n0.75 0.801935\nName: 5555, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.54849838924522, std values: 5.157875937974729, min values: 3.8489e-07, max values: 44.406, median values: 0.23417, and quantile values: 0.25 0.06274\n0.50 0.23417\n0.75 0.91196\nName: 5556, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6184290921792452, std values: 5.176081658581613, min values: 5.1302e-06, max values: 41.059, median values: 0.26428, and quantile values: 0.25 0.074225\n0.50 0.264280\n0.75 1.007140\nName: 5557, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.628832750881006, std values: 4.881060809079962, min values: 6.8808e-07, max values: 38.106, median values: 0.29079, and quantile values: 0.25 0.085492\n0.50 0.290790\n0.75 1.065300\nName: 5558, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4911028217138367, std values: 4.757654905671284, min values: 2.7979e-06, max values: 38.911, median values: 0.24841, and quantile values: 0.25 0.072471\n0.50 0.248410\n0.75 0.961495\nName: 5559, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4110346576618868, std values: 4.751788956024693, min values: 4.8194e-07, max values: 38.065, median values: 0.22701, and quantile values: 0.25 0.061884\n0.50 0.227010\n0.75 0.858490\nName: 5560, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3759749911515724, std values: 4.895503899717757, min values: 4.6182e-06, max values: 40.85, median values: 0.21918, and quantile values: 0.25 0.069699\n0.50 0.219180\n0.75 0.674970\nName: 5561, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3833573692754717, std values: 5.020698054115812, min values: 1.4756e-06, max values: 42.569, median values: 0.19206, and quantile values: 0.25 0.050162\n0.50 0.192060\n0.75 0.791410\nName: 5562, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.432336522455975, std values: 4.727747779198735, min values: 2.0864e-06, max values: 38.836, median values: 0.24254, and quantile values: 0.25 0.065136\n0.50 0.242540\n0.75 0.881275\nName: 5563, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5378552744754714, std values: 4.952654297506339, min values: 2.9423e-06, max values: 40.005, median values: 0.24972, and quantile values: 0.25 0.07257\n0.50 0.24972\n0.75 0.95867\nName: 5564, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.83403097854717, std values: 5.433716178581879, min values: 9.931e-06, max values: 42.214, median values: 0.30106, and quantile values: 0.25 0.090721\n0.50 0.301060\n0.75 1.137150\nName: 5565, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4646701270936477, std values: 4.881229588415572, min values: 9.0299e-07, max values: 39.248, median values: 0.24626, and quantile values: 0.25 0.065437\n0.50 0.246260\n0.75 0.886425\nName: 5566, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5313883736144656, std values: 4.640926890984623, min values: 1.8566e-06, max values: 37.498, median values: 0.26029, and quantile values: 0.25 0.077749\n0.50 0.260290\n0.75 0.983910\nName: 5567, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3428680415987422, std values: 4.85724009571048, min values: 4.6884e-06, max values: 41.144, median values: 0.18448, and quantile values: 0.25 0.058762\n0.50 0.184480\n0.75 0.611465\nName: 5568, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.549447684736478, std values: 4.952610142507923, min values: 4.5294e-06, max values: 40.797, median values: 0.24779, and quantile values: 0.25 0.071640\n0.50 0.247790\n0.75 0.943905\nName: 5569, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.340130010955346, std values: 4.847058757979839, min values: 2.8417e-06, max values: 40.109, median values: 0.18687, and quantile values: 0.25 0.054909\n0.50 0.186870\n0.75 0.721785\nName: 5570, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.776681310880503, std values: 5.271385913131309, min values: 6.664e-06, max values: 41.063, median values: 0.30683, and quantile values: 0.25 0.080779\n0.50 0.306830\n0.75 1.146100\nName: 5571, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3549010709283018, std values: 4.573625566995214, min values: 6.259e-07, max values: 38.36, median values: 0.21267, and quantile values: 0.25 0.054787\n0.50 0.212670\n0.75 0.790110\nName: 5572, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.363441264177673, std values: 4.547816502986474, min values: 9.1765e-07, max values: 38.245, median values: 0.20403, and quantile values: 0.25 0.058144\n0.50 0.204030\n0.75 0.842490\nName: 5573, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4609628228554903, std values: 4.855419231621074, min values: 8.5233e-08, max values: 39.772, median values: 0.20559, and quantile values: 0.25 0.045655\n0.50 0.205590\n0.75 0.877085\nName: 5574, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4484936542918236, std values: 4.602869641063039, min values: 1.0892e-06, max values: 38.307, median values: 0.22798, and quantile values: 0.25 0.073781\n0.50 0.227980\n0.75 0.903700\nName: 5575, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9895343961000003, std values: 5.804850622326432, min values: 6.4789e-06, max values: 49.67, median values: 0.37093, and quantile values: 0.25 0.10779\n0.50 0.37093\n0.75 1.25765\nName: 5576, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6331038539496858, std values: 5.2669583258123165, min values: 1.9001e-06, max values: 44.423, median values: 0.24359, and quantile values: 0.25 0.063838\n0.50 0.243590\n0.75 1.073550\nName: 5577, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4941871975503143, std values: 5.109219240627874, min values: 3.4763e-06, max values: 40.956, median values: 0.22395, and quantile values: 0.25 0.064717\n0.50 0.223950\n0.75 0.848360\nName: 5578, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5492553023786164, std values: 4.999223684042101, min values: 2.2581e-06, max values: 39.795, median values: 0.26439, and quantile values: 0.25 0.072540\n0.50 0.264390\n0.75 0.940845\nName: 5579, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2879521228368174, std values: 4.664825074853461, min values: 2.7154e-08, max values: 37.34, median values: 0.17332, and quantile values: 0.25 0.049632\n0.50 0.173320\n0.75 0.729665\nName: 5580, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.676908963520755, std values: 5.07621830001796, min values: 4.1069e-06, max values: 40.695, median values: 0.26218, and quantile values: 0.25 0.082417\n0.50 0.262180\n0.75 1.060050\nName: 5581, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4955209099833335, std values: 5.106359502789464, min values: 5.0905e-07, max values: 44.241, median values: 0.22417, and quantile values: 0.25 0.057092\n0.50 0.224170\n0.75 0.878040\nName: 5582, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4141332225427672, std values: 5.074777320200043, min values: 1.9105e-06, max values: 42.762, median values: 0.20203, and quantile values: 0.25 0.060452\n0.50 0.202030\n0.75 0.798250\nName: 5583, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6616333166144654, std values: 4.958878813686427, min values: 1.2661e-06, max values: 38.964, median values: 0.26134, and quantile values: 0.25 0.078174\n0.50 0.261340\n0.75 1.178550\nName: 5584, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5014337129649686, std values: 4.963057249353881, min values: 8.8243e-07, max values: 40.715, median values: 0.20776, and quantile values: 0.25 0.058937\n0.50 0.207760\n0.75 0.909670\nName: 5585, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3913281465506289, std values: 4.807203057763601, min values: 9.5595e-07, max values: 38.443, median values: 0.22516, and quantile values: 0.25 0.067036\n0.50 0.225160\n0.75 0.807575\nName: 5586, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4219753210050314, std values: 4.937432890033701, min values: 2.0766e-06, max values: 40.013, median values: 0.20953, and quantile values: 0.25 0.06680\n0.50 0.20953\n0.75 0.78507\nName: 5587, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3334728400911888, std values: 4.672053637046579, min values: 1.9573e-08, max values: 38.094, median values: 0.16316, and quantile values: 0.25 0.037082\n0.50 0.163160\n0.75 0.701130\nName: 5588, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.579486642616352, std values: 5.061119997690224, min values: 1.5397e-06, max values: 40.719, median values: 0.25838, and quantile values: 0.25 0.068094\n0.50 0.258380\n0.75 1.037850\nName: 5589, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4085675217383646, std values: 4.796699919526361, min values: 2.7585e-06, max values: 39.412, median values: 0.20089, and quantile values: 0.25 0.06396\n0.50 0.20089\n0.75 0.81415\nName: 5590, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8418798693844654, std values: 5.8399887374759025, min values: 1.9103e-07, max values: 54.736, median values: 0.27775, and quantile values: 0.25 0.061847\n0.50 0.277750\n0.75 1.156000\nName: 5591, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5199621629440883, std values: 4.8460802411129995, min values: 2.1001e-07, max values: 38.722, median values: 0.21616, and quantile values: 0.25 0.059913\n0.50 0.216160\n0.75 0.998235\nName: 5592, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.437966152247044, std values: 4.917924678291552, min values: 7.1118e-07, max values: 41.035, median values: 0.23428, and quantile values: 0.25 0.068380\n0.50 0.234280\n0.75 0.876035\nName: 5593, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7143473790238994, std values: 5.04046361353483, min values: 2.5346e-06, max values: 39.661, median values: 0.29304, and quantile values: 0.25 0.085511\n0.50 0.293040\n0.75 1.169000\nName: 5594, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4145800786654088, std values: 4.9219262749998975, min values: 1.7739e-06, max values: 40.727, median values: 0.22002, and quantile values: 0.25 0.064449\n0.50 0.220020\n0.75 0.817980\nName: 5595, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4013228995974842, std values: 4.944534942482823, min values: 3.3085e-06, max values: 39.569, median values: 0.20373, and quantile values: 0.25 0.056302\n0.50 0.203730\n0.75 0.808555\nName: 5596, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6889974065955975, std values: 5.115608124366704, min values: 2.5656e-06, max values: 41.081, median values: 0.29031, and quantile values: 0.25 0.075226\n0.50 0.290310\n0.75 1.120000\nName: 5597, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2501392492345913, std values: 4.7140952599768955, min values: 1.7148e-06, max values: 38.787, median values: 0.15948, and quantile values: 0.25 0.045306\n0.50 0.159480\n0.75 0.661765\nName: 5598, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4615119077113208, std values: 4.827036414406866, min values: 1.1513e-06, max values: 38.282, median values: 0.24792, and quantile values: 0.25 0.064058\n0.50 0.247920\n0.75 0.861940\nName: 5599, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6133372998320754, std values: 4.988671417679908, min values: 1.8255e-06, max values: 38.952, median values: 0.24181, and quantile values: 0.25 0.069356\n0.50 0.241810\n0.75 0.978565\nName: 5600, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3880025547694967, std values: 4.7541259662578454, min values: 8.8425e-07, max values: 39.653, median values: 0.18921, and quantile values: 0.25 0.056393\n0.50 0.189210\n0.75 0.856455\nName: 5601, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.377960465134717, std values: 4.906408026409846, min values: 7.9392e-07, max values: 40.326, median values: 0.17724, and quantile values: 0.25 0.052976\n0.50 0.177240\n0.75 0.799755\nName: 5602, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4819360285991823, std values: 4.761156932783833, min values: 2.3737e-07, max values: 37.382, median values: 0.23331, and quantile values: 0.25 0.068422\n0.50 0.233310\n0.75 0.938560\nName: 5603, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3123210830597485, std values: 4.764513414992416, min values: 1.5558e-06, max values: 38.366, median values: 0.20401, and quantile values: 0.25 0.059028\n0.50 0.204010\n0.75 0.668040\nName: 5604, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.314167773382717, std values: 4.552598837022857, min values: 8.5662e-08, max values: 36.559, median values: 0.18044, and quantile values: 0.25 0.041479\n0.50 0.180440\n0.75 0.679560\nName: 5605, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3847733482110065, std values: 4.671268574174897, min values: 3.8215e-07, max values: 37.806, median values: 0.21564, and quantile values: 0.25 0.059214\n0.50 0.215640\n0.75 0.828580\nName: 5606, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4263548722644654, std values: 4.849030205526519, min values: 4.6205e-07, max values: 38.741, median values: 0.21907, and quantile values: 0.25 0.061762\n0.50 0.219070\n0.75 0.901780\nName: 5607, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.691697110474214, std values: 5.24852428073382, min values: 5.817e-06, max values: 41.576, median values: 0.28867, and quantile values: 0.25 0.090542\n0.50 0.288670\n0.75 1.031450\nName: 5608, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.25287895898239, std values: 4.8705291054747955, min values: 1.2993e-06, max values: 40.459, median values: 0.15701, and quantile values: 0.25 0.058159\n0.50 0.157010\n0.75 0.607340\nName: 5609, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.436731803756082, std values: 4.927004539883278, min values: 9.6027e-08, max values: 40.748, median values: 0.17777, and quantile values: 0.25 0.046869\n0.50 0.177770\n0.75 0.767155\nName: 5610, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3790580002509434, std values: 4.727863083567039, min values: 1.5547e-06, max values: 38.907, median values: 0.19727, and quantile values: 0.25 0.058391\n0.50 0.197270\n0.75 0.789120\nName: 5611, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3992289586061635, std values: 4.669895769095602, min values: 5.8401e-07, max values: 36.885, median values: 0.20509, and quantile values: 0.25 0.050130\n0.50 0.205090\n0.75 0.813435\nName: 5612, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.462878932855346, std values: 5.022531712621837, min values: 1.6125e-06, max values: 41.303, median values: 0.2063, and quantile values: 0.25 0.067569\n0.50 0.206300\n0.75 0.876230\nName: 5613, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.390211588409434, std values: 4.6917272635429645, min values: 1.1681e-06, max values: 38.774, median values: 0.2028, and quantile values: 0.25 0.058015\n0.50 0.202800\n0.75 0.797065\nName: 5614, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6334103582710693, std values: 5.0372720548423775, min values: 3.5854e-06, max values: 40.011, median values: 0.27424, and quantile values: 0.25 0.078762\n0.50 0.274240\n0.75 0.985730\nName: 5615, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4607223112028302, std values: 5.0864600511415, min values: 6.0843e-07, max values: 44.405, median values: 0.18775, and quantile values: 0.25 0.048194\n0.50 0.187750\n0.75 0.741830\nName: 5616, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5007474005015722, std values: 5.321362286436293, min values: 3.9045e-07, max values: 47.05, median values: 0.16921, and quantile values: 0.25 0.046428\n0.50 0.169210\n0.75 0.883000\nName: 5617, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6371557231100626, std values: 5.063635930829096, min values: 2.5257e-06, max values: 40.743, median values: 0.27039, and quantile values: 0.25 0.077527\n0.50 0.270390\n0.75 1.052050\nName: 5618, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.716030021942138, std values: 5.178712374367123, min values: 5.6955e-06, max values: 40.956, median values: 0.27965, and quantile values: 0.25 0.067534\n0.50 0.279650\n0.75 1.072200\nName: 5619, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6100850655123902, std values: 5.174425136433546, min values: 8.9927e-07, max values: 43.635, median values: 0.27584, and quantile values: 0.25 0.062577\n0.50 0.275840\n0.75 1.027350\nName: 5620, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5987749471465411, std values: 5.188335605911716, min values: 2.125e-06, max values: 43.536, median values: 0.26697, and quantile values: 0.25 0.068278\n0.50 0.266970\n0.75 1.080600\nName: 5621, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4018186025926413, std values: 4.653492699764301, min values: 1.1163e-07, max values: 37.774, median values: 0.20055, and quantile values: 0.25 0.055667\n0.50 0.200550\n0.75 0.891785\nName: 5622, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6406845814779876, std values: 5.046026303607796, min values: 3.5024e-06, max values: 39.972, median values: 0.25549, and quantile values: 0.25 0.07287\n0.50 0.25549\n0.75 1.08685\nName: 5623, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4128655093737108, std values: 4.853406081955618, min values: 1.7852e-07, max values: 40.358, median values: 0.21684, and quantile values: 0.25 0.058984\n0.50 0.216840\n0.75 0.809425\nName: 5624, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5460873188109436, std values: 4.961105453230881, min values: 8.1894e-07, max values: 40.209, median values: 0.22525, and quantile values: 0.25 0.065677\n0.50 0.225250\n0.75 0.980605\nName: 5625, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3773232538603775, std values: 4.815538492331597, min values: 6.259e-07, max values: 39.239, median values: 0.1817, and quantile values: 0.25 0.055457\n0.50 0.181700\n0.75 0.775545\nName: 5626, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5152873944523897, std values: 4.795120350016655, min values: 2.0193e-07, max values: 38.271, median values: 0.23556, and quantile values: 0.25 0.053786\n0.50 0.235560\n0.75 0.936910\nName: 5627, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.527619089074843, std values: 4.8968484624514375, min values: 1.317e-06, max values: 39.206, median values: 0.23065, and quantile values: 0.25 0.066241\n0.50 0.230650\n0.75 0.964480\nName: 5628, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6072324795125785, std values: 5.238856028653281, min values: 2.3585e-06, max values: 43.787, median values: 0.26166, and quantile values: 0.25 0.079149\n0.50 0.261660\n0.75 0.975015\nName: 5629, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4326400719237735, std values: 4.9756962112713765, min values: 7.5138e-07, max values: 41.814, median values: 0.18752, and quantile values: 0.25 0.061324\n0.50 0.187520\n0.75 0.866610\nName: 5630, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4924114430867925, std values: 4.935172640530799, min values: 1.6646e-06, max values: 39.336, median values: 0.22424, and quantile values: 0.25 0.063516\n0.50 0.224240\n0.75 0.968845\nName: 5631, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2302532823389938, std values: 4.911038303719542, min values: 2.1708e-06, max values: 40.014, median values: 0.15129, and quantile values: 0.25 0.043133\n0.50 0.151290\n0.75 0.562955\nName: 5632, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6459095471138365, std values: 5.070968596440077, min values: 3.4007e-06, max values: 40.097, median values: 0.27254, and quantile values: 0.25 0.078133\n0.50 0.272540\n0.75 1.018965\nName: 5633, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3451164982061636, std values: 4.895371306967555, min values: 6.6528e-07, max values: 40.481, median values: 0.18706, and quantile values: 0.25 0.056253\n0.50 0.187060\n0.75 0.726410\nName: 5634, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5142919669861634, std values: 4.924283997880032, min values: 1.5452e-06, max values: 39.488, median values: 0.24487, and quantile values: 0.25 0.069477\n0.50 0.244870\n0.75 0.930795\nName: 5635, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6152985952627674, std values: 5.02354973918205, min values: 8.3028e-07, max values: 40.573, median values: 0.28203, and quantile values: 0.25 0.073184\n0.50 0.282030\n0.75 1.029900\nName: 5636, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2942585735061005, std values: 4.709151304919737, min values: 3.9287e-07, max values: 38.372, median values: 0.17975, and quantile values: 0.25 0.056275\n0.50 0.179750\n0.75 0.725835\nName: 5637, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.45686649552939, std values: 4.960128476473205, min values: 2.1593e-08, max values: 41.882, median values: 0.17527, and quantile values: 0.25 0.043509\n0.50 0.175270\n0.75 0.803220\nName: 5638, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.425431637044654, std values: 4.848988264372186, min values: 1.0398e-06, max values: 39.536, median values: 0.20927, and quantile values: 0.25 0.064657\n0.50 0.209270\n0.75 0.859670\nName: 5639, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.603965693200629, std values: 4.968643775265241, min values: 2.7794e-06, max values: 39.002, median values: 0.27982, and quantile values: 0.25 0.083809\n0.50 0.279820\n0.75 1.026600\nName: 5640, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4181705208528304, std values: 4.960400437861857, min values: 2.6267e-06, max values: 40.191, median values: 0.20289, and quantile values: 0.25 0.060938\n0.50 0.202890\n0.75 0.804955\nName: 5641, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.431757086301195, std values: 4.8862087062438, min values: 4.6789e-07, max values: 39.938, median values: 0.2037, and quantile values: 0.25 0.053805\n0.50 0.203700\n0.75 0.843845\nName: 5642, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7555168785396225, std values: 5.240919327371113, min values: 1.8862e-06, max values: 43.209, median values: 0.27936, and quantile values: 0.25 0.077472\n0.50 0.279360\n0.75 1.272450\nName: 5643, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5431937794656603, std values: 4.806014717552283, min values: 4.0324e-07, max values: 37.924, median values: 0.22253, and quantile values: 0.25 0.068075\n0.50 0.222530\n0.75 1.039950\nName: 5644, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6549170250039624, std values: 5.198400766227019, min values: 5.0253e-07, max values: 44.333, median values: 0.289, and quantile values: 0.25 0.069742\n0.50 0.289000\n0.75 1.122300\nName: 5645, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.683876835827673, std values: 5.261117568491484, min values: 2.0024e-06, max values: 43.479, median values: 0.26037, and quantile values: 0.25 0.072773\n0.50 0.260370\n0.75 1.093950\nName: 5646, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2134044829113209, std values: 4.6310293052361535, min values: 1.1455e-06, max values: 38.816, median values: 0.16178, and quantile values: 0.25 0.05295\n0.50 0.16178\n0.75 0.61376\nName: 5647, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4484671195725156, std values: 4.752957727666949, min values: 9.7263e-07, max values: 38.67, median values: 0.21316, and quantile values: 0.25 0.061051\n0.50 0.213160\n0.75 0.890715\nName: 5648, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.279654774464214, std values: 4.857069085095265, min values: 4.0161e-07, max values: 40.505, median values: 0.15257, and quantile values: 0.25 0.040788\n0.50 0.152570\n0.75 0.638115\nName: 5649, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8244678160694088, std values: 5.337601096154426, min values: 2.5336e-08, max values: 45.332, median values: 0.31508, and quantile values: 0.25 0.074061\n0.50 0.315080\n0.75 1.211050\nName: 5650, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8885413583251571, std values: 5.583147981525911, min values: 6.259e-07, max values: 47.789, median values: 0.32539, and quantile values: 0.25 0.096569\n0.50 0.325390\n0.75 1.252450\nName: 5651, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6366191397610061, std values: 5.003075367020138, min values: 4.4769e-06, max values: 40.27, median values: 0.27057, and quantile values: 0.25 0.072431\n0.50 0.270570\n0.75 1.045450\nName: 5652, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3077868332279874, std values: 4.690342983084011, min values: 3.8555e-07, max values: 37.496, median values: 0.16047, and quantile values: 0.25 0.048059\n0.50 0.160470\n0.75 0.739855\nName: 5653, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4978966972622643, std values: 4.878489026677904, min values: 1.7093e-06, max values: 38.773, median values: 0.24219, and quantile values: 0.25 0.061935\n0.50 0.242190\n0.75 0.969335\nName: 5654, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7214410574559749, std values: 4.993414393441801, min values: 1.0385e-06, max values: 38.965, median values: 0.30807, and quantile values: 0.25 0.072975\n0.50 0.308070\n0.75 1.204950\nName: 5655, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3506383671880504, std values: 4.8387402594793, min values: 2.249e-07, max values: 39.661, median values: 0.18521, and quantile values: 0.25 0.048090\n0.50 0.185210\n0.75 0.764575\nName: 5656, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5953326139861637, std values: 4.907447266064234, min values: 3.1154e-06, max values: 40.551, median values: 0.26547, and quantile values: 0.25 0.07139\n0.50 0.26547\n0.75 1.05035\nName: 5657, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4542496647260377, std values: 4.963245036905702, min values: 7.3234e-07, max values: 41.912, median values: 0.19939, and quantile values: 0.25 0.055932\n0.50 0.199390\n0.75 0.825210\nName: 5658, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4235038963891007, std values: 4.701405192105786, min values: 3.6177e-08, max values: 37.119, median values: 0.21744, and quantile values: 0.25 0.051569\n0.50 0.217440\n0.75 0.847425\nName: 5659, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4572209031402514, std values: 4.82275758253304, min values: 1.6085e-06, max values: 38.708, median values: 0.23702, and quantile values: 0.25 0.058800\n0.50 0.237020\n0.75 0.917035\nName: 5660, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5275536064218866, std values: 4.9942629822211, min values: 7.4398e-07, max values: 42.265, median values: 0.27353, and quantile values: 0.25 0.081355\n0.50 0.273530\n0.75 0.943245\nName: 5661, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.368542544600629, std values: 4.869968729376108, min values: 7.47e-07, max values: 39.897, median values: 0.19117, and quantile values: 0.25 0.060886\n0.50 0.191170\n0.75 0.748355\nName: 5662, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3337173625881134, std values: 4.758449409305334, min values: 9.8771e-07, max values: 38.263, median values: 0.17399, and quantile values: 0.25 0.057347\n0.50 0.173990\n0.75 0.745045\nName: 5663, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7404551994528303, std values: 4.932935138984582, min values: 1.0459e-06, max values: 37.743, median values: 0.28502, and quantile values: 0.25 0.075751\n0.50 0.285020\n0.75 1.207100\nName: 5664, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2506466155138365, std values: 4.549757090568612, min values: 1.2413e-06, max values: 38.307, median values: 0.17686, and quantile values: 0.25 0.055022\n0.50 0.176860\n0.75 0.667820\nName: 5665, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3171258111611948, std values: 4.673930392859011, min values: 2.1542e-07, max values: 37.256, median values: 0.17328, and quantile values: 0.25 0.041927\n0.50 0.173280\n0.75 0.714195\nName: 5666, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7135362060242765, std values: 5.158297536181025, min values: 9.9716e-07, max values: 42.262, median values: 0.26525, and quantile values: 0.25 0.069254\n0.50 0.265250\n0.75 1.274350\nName: 5667, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4580184699440253, std values: 4.991390724839728, min values: 1.8436e-06, max values: 40.098, median values: 0.23764, and quantile values: 0.25 0.059167\n0.50 0.237640\n0.75 0.873100\nName: 5668, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3730059201923897, std values: 4.898102529827972, min values: 3.7769e-07, max values: 41.239, median values: 0.20837, and quantile values: 0.25 0.056815\n0.50 0.208370\n0.75 0.780800\nName: 5669, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3860743283226415, std values: 4.836938842985901, min values: 1.4348e-06, max values: 39.39, median values: 0.20852, and quantile values: 0.25 0.055558\n0.50 0.208520\n0.75 0.839450\nName: 5670, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6267923747930817, std values: 4.970051051464056, min values: 2.9544e-06, max values: 39.423, median values: 0.27006, and quantile values: 0.25 0.078008\n0.50 0.270060\n0.75 1.104050\nName: 5671, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4254675747248426, std values: 4.749733337035148, min values: 2.4915e-07, max values: 38.331, median values: 0.20928, and quantile values: 0.25 0.059049\n0.50 0.209280\n0.75 0.874035\nName: 5672, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4389256737339624, std values: 4.853430924388728, min values: 1.7556e-06, max values: 39.355, median values: 0.24531, and quantile values: 0.25 0.062861\n0.50 0.245310\n0.75 0.873485\nName: 5673, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7018674816069181, std values: 5.292775354520876, min values: 5.6331e-06, max values: 41.787, median values: 0.30111, and quantile values: 0.25 0.080217\n0.50 0.301110\n0.75 1.008500\nName: 5674, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5748942550320757, std values: 4.9400330749473955, min values: 1.8464e-06, max values: 38.974, median values: 0.24978, and quantile values: 0.25 0.079037\n0.50 0.249780\n0.75 1.054100\nName: 5675, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5089963716981132, std values: 5.0152505246592485, min values: 1.4772e-06, max values: 41.051, median values: 0.2067, and quantile values: 0.25 0.067053\n0.50 0.206700\n0.75 0.872255\nName: 5676, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.364816805028302, std values: 4.849713499678908, min values: 1.7055e-06, max values: 39.262, median values: 0.20248, and quantile values: 0.25 0.057788\n0.50 0.202480\n0.75 0.751470\nName: 5677, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5366580223559747, std values: 4.747269602274574, min values: 1.89e-06, max values: 38.361, median values: 0.25502, and quantile values: 0.25 0.072552\n0.50 0.255020\n0.75 1.010480\nName: 5678, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6347368503798112, std values: 5.02117161932953, min values: 1.3492e-07, max values: 41.268, median values: 0.22183, and quantile values: 0.25 0.060662\n0.50 0.221830\n0.75 1.013695\nName: 5679, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2404938463525788, std values: 4.863687539691475, min values: 9.4776e-07, max values: 40.116, median values: 0.13916, and quantile values: 0.25 0.044375\n0.50 0.139160\n0.75 0.695340\nName: 5680, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4264804627654089, std values: 5.029476337311261, min values: 3.1615e-06, max values: 41.055, median values: 0.19994, and quantile values: 0.25 0.060616\n0.50 0.199940\n0.75 0.781795\nName: 5681, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3995500316440188, std values: 4.706935860118276, min values: 2.1639e-08, max values: 37.29, median values: 0.17062, and quantile values: 0.25 0.047680\n0.50 0.170620\n0.75 0.799465\nName: 5682, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3672475469024528, std values: 4.621345575242991, min values: 7.3179e-07, max values: 38.59, median values: 0.22053, and quantile values: 0.25 0.058302\n0.50 0.220530\n0.75 0.756070\nName: 5683, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4975942393479245, std values: 4.929427965895394, min values: 7.1112e-07, max values: 40.321, median values: 0.21835, and quantile values: 0.25 0.062714\n0.50 0.218350\n0.75 0.869390\nName: 5684, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7028090155232705, std values: 4.933988037111496, min values: 1.21e-06, max values: 38.551, median values: 0.30628, and quantile values: 0.25 0.079179\n0.50 0.306280\n0.75 1.230400\nName: 5685, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5599628350245283, std values: 4.9473753602976585, min values: 1.0996e-06, max values: 39.149, median values: 0.22377, and quantile values: 0.25 0.068443\n0.50 0.223770\n0.75 1.008785\nName: 5686, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.512864658413019, std values: 4.810249818284415, min values: 2.0867e-07, max values: 38.107, median values: 0.23151, and quantile values: 0.25 0.057545\n0.50 0.231510\n0.75 0.882025\nName: 5687, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6579951904918868, std values: 5.186372622947499, min values: 3.7561e-07, max values: 43.756, median values: 0.27435, and quantile values: 0.25 0.064687\n0.50 0.274350\n0.75 1.073300\nName: 5688, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4187404973322015, std values: 4.778358022391451, min values: 5.4212e-07, max values: 38.664, median values: 0.21445, and quantile values: 0.25 0.056816\n0.50 0.214450\n0.75 0.883980\nName: 5689, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5830072252496854, std values: 5.293654235253847, min values: 2.2983e-06, max values: 45.591, median values: 0.23374, and quantile values: 0.25 0.061446\n0.50 0.233740\n0.75 1.008480\nName: 5690, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4527964505547168, std values: 5.048083992287846, min values: 3.1249e-06, max values: 40.584, median values: 0.21722, and quantile values: 0.25 0.061765\n0.50 0.217220\n0.75 0.823110\nName: 5691, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.405787755197547, std values: 4.8937021925088215, min values: 8.2601e-07, max values: 41.117, median values: 0.21428, and quantile values: 0.25 0.065787\n0.50 0.214280\n0.75 0.844740\nName: 5692, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4486869808572325, std values: 4.891378018122782, min values: 2.4037e-06, max values: 38.917, median values: 0.24027, and quantile values: 0.25 0.064378\n0.50 0.240270\n0.75 0.817715\nName: 5693, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.423317553943396, std values: 4.963818766395326, min values: 3.3711e-06, max values: 40.3, median values: 0.20217, and quantile values: 0.25 0.065280\n0.50 0.202170\n0.75 0.777445\nName: 5694, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5014611805060631, std values: 4.784317598010063, min values: 3.1064e-08, max values: 37.819, median values: 0.2075, and quantile values: 0.25 0.051346\n0.50 0.207500\n0.75 1.003435\nName: 5695, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4573973350152893, std values: 5.005017931699148, min values: 1.9991e-08, max values: 42.817, median values: 0.22114, and quantile values: 0.25 0.048443\n0.50 0.221140\n0.75 0.852445\nName: 5696, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5385722791433962, std values: 4.874740216153214, min values: 1.5834e-06, max values: 38.309, median values: 0.25613, and quantile values: 0.25 0.073953\n0.50 0.256130\n0.75 0.987315\nName: 5697, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5823664244119497, std values: 5.107484239740747, min values: 1.8724e-06, max values: 41.288, median values: 0.25061, and quantile values: 0.25 0.069866\n0.50 0.250610\n0.75 1.007375\nName: 5698, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3986330313747168, std values: 4.721387733649538, min values: 9.5868e-07, max values: 38.181, median values: 0.2019, and quantile values: 0.25 0.054453\n0.50 0.201900\n0.75 0.826160\nName: 5699, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3801238081358491, std values: 5.009171092500393, min values: 2.6096e-06, max values: 40.912, median values: 0.21079, and quantile values: 0.25 0.05901\n0.50 0.21079\n0.75 0.75263\nName: 5700, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5854764293062265, std values: 4.878859244527394, min values: 9.3409e-07, max values: 38.507, median values: 0.24484, and quantile values: 0.25 0.065316\n0.50 0.244840\n0.75 1.080800\nName: 5701, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6706186619679244, std values: 4.997445732960224, min values: 2.7191e-06, max values: 39.492, median values: 0.28008, and quantile values: 0.25 0.084371\n0.50 0.280080\n0.75 1.135500\nName: 5702, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5155972969616354, std values: 4.961421944913735, min values: 1.2415e-06, max values: 39.922, median values: 0.20687, and quantile values: 0.25 0.060381\n0.50 0.206870\n0.75 0.933350\nName: 5703, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5776384537025785, std values: 4.960926376565468, min values: 1.2972e-07, max values: 41.101, median values: 0.20339, and quantile values: 0.25 0.052683\n0.50 0.203390\n0.75 0.939565\nName: 5704, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6391628550062893, std values: 5.228033800235617, min values: 1.6219e-06, max values: 43.585, median values: 0.23799, and quantile values: 0.25 0.068496\n0.50 0.237990\n0.75 1.056700\nName: 5705, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7117429161597484, std values: 5.2205782094765025, min values: 2.8583e-06, max values: 42.809, median values: 0.26944, and quantile values: 0.25 0.082452\n0.50 0.269440\n0.75 1.084000\nName: 5706, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.429155719583019, std values: 4.9058957230955675, min values: 9.782e-07, max values: 39.685, median values: 0.20153, and quantile values: 0.25 0.059499\n0.50 0.201530\n0.75 0.894695\nName: 5707, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4366980233312578, std values: 5.087706384097045, min values: 4.0067e-07, max values: 43.778, median values: 0.18793, and quantile values: 0.25 0.057895\n0.50 0.187930\n0.75 0.785445\nName: 5708, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3621338818396227, std values: 4.954124053671371, min values: 2.1637e-06, max values: 39.892, median values: 0.16392, and quantile values: 0.25 0.052872\n0.50 0.163920\n0.75 0.726080\nName: 5709, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6741344396981133, std values: 5.0962584358233975, min values: 4.0792e-06, max values: 39.722, median values: 0.28691, and quantile values: 0.25 0.080563\n0.50 0.286910\n0.75 1.004420\nName: 5710, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3544716977723272, std values: 4.765505148743905, min values: 1.4872e-06, max values: 38.669, median values: 0.1957, and quantile values: 0.25 0.060077\n0.50 0.195700\n0.75 0.827395\nName: 5711, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3608275765012579, std values: 4.718077809452095, min values: 1.0208e-06, max values: 38.993, median values: 0.19642, and quantile values: 0.25 0.056986\n0.50 0.196420\n0.75 0.783270\nName: 5712, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3144871925710693, std values: 4.719191409131816, min values: 1.7413e-06, max values: 40.153, median values: 0.17016, and quantile values: 0.25 0.052525\n0.50 0.170160\n0.75 0.694980\nName: 5713, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.898433527354717, std values: 5.228454530498538, min values: 5.1027e-06, max values: 39.504, median values: 0.34949, and quantile values: 0.25 0.11647\n0.50 0.34949\n0.75 1.25490\nName: 5714, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.130365549255522, std values: 4.2649763828881335, min values: 2.6398e-08, max values: 35.607, median values: 0.13253, and quantile values: 0.25 0.02934\n0.50 0.13253\n0.75 0.56301\nName: 5715, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4882335675850942, std values: 4.785131036305207, min values: 7.4093e-07, max values: 38.164, median values: 0.23932, and quantile values: 0.25 0.071871\n0.50 0.239320\n0.75 0.907760\nName: 5716, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.590470283816981, std values: 5.106603199971055, min values: 1.1613e-06, max values: 41.785, median values: 0.2382, and quantile values: 0.25 0.065271\n0.50 0.238200\n0.75 1.030150\nName: 5717, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4998235888250315, std values: 4.7363103556457125, min values: 7.6058e-07, max values: 38.081, median values: 0.23144, and quantile values: 0.25 0.067329\n0.50 0.231440\n0.75 1.001770\nName: 5718, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4502885578604217, std values: 4.794492611036788, min values: 6.0487e-08, max values: 38.741, median values: 0.19281, and quantile values: 0.25 0.046068\n0.50 0.192810\n0.75 0.821400\nName: 5719, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.384228177384906, std values: 4.528671292864634, min values: 1.489e-06, max values: 39.331, median values: 0.20226, and quantile values: 0.25 0.059109\n0.50 0.202260\n0.75 0.873585\nName: 5720, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.428181277225786, std values: 5.022410636489311, min values: 2.9352e-06, max values: 40.32, median values: 0.20758, and quantile values: 0.25 0.058062\n0.50 0.207580\n0.75 0.789050\nName: 5721, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5014285731220125, std values: 5.174833209605598, min values: 1.5861e-06, max values: 44.147, median values: 0.22685, and quantile values: 0.25 0.067092\n0.50 0.226850\n0.75 0.892030\nName: 5722, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5912849400477989, std values: 4.873038122550588, min values: 2.9584e-06, max values: 39.717, median values: 0.25882, and quantile values: 0.25 0.073103\n0.50 0.258820\n0.75 1.000600\nName: 5723, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5411877500672329, std values: 4.868446112899498, min values: 9.6749e-07, max values: 38.562, median values: 0.24802, and quantile values: 0.25 0.071406\n0.50 0.248020\n0.75 0.988385\nName: 5724, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4978416362710694, std values: 5.154416308363436, min values: 4.9892e-06, max values: 41.559, median values: 0.23644, and quantile values: 0.25 0.069111\n0.50 0.236440\n0.75 0.855945\nName: 5725, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4503360515383021, std values: 4.8541625308985825, min values: 1.322e-07, max values: 40.1, median values: 0.17303, and quantile values: 0.25 0.051186\n0.50 0.173030\n0.75 0.787485\nName: 5726, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1989374182015722, std values: 4.670711745921032, min values: 8.5455e-07, max values: 37.759, median values: 0.13395, and quantile values: 0.25 0.039504\n0.50 0.133950\n0.75 0.579985\nName: 5727, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4354751679367925, std values: 5.1096020766991765, min values: 8.2445e-07, max values: 43.554, median values: 0.20327, and quantile values: 0.25 0.052998\n0.50 0.203270\n0.75 0.786250\nName: 5728, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2740469152528933, std values: 4.841932478382632, min values: 3.7921e-07, max values: 40.441, median values: 0.15282, and quantile values: 0.25 0.047567\n0.50 0.152820\n0.75 0.670010\nName: 5729, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3338500985033335, std values: 4.844020939841404, min values: 3.2006e-07, max values: 40.129, median values: 0.14242, and quantile values: 0.25 0.054946\n0.50 0.142420\n0.75 0.662930\nName: 5730, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.450625033025157, std values: 5.3838985094846326, min values: 4.4192e-06, max values: 47.471, median values: 0.20402, and quantile values: 0.25 0.056508\n0.50 0.204020\n0.75 0.719045\nName: 5731, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3933396287647797, std values: 4.786803504051822, min values: 2.9148e-06, max values: 39.398, median values: 0.19603, and quantile values: 0.25 0.058882\n0.50 0.196030\n0.75 0.760415\nName: 5732, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.476191030000629, std values: 4.935793173923463, min values: 3.1924e-06, max values: 40.763, median values: 0.20711, and quantile values: 0.25 0.075502\n0.50 0.207110\n0.75 0.840020\nName: 5733, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.385246698254088, std values: 4.914328717655111, min values: 1.6269e-06, max values: 40.127, median values: 0.20606, and quantile values: 0.25 0.057443\n0.50 0.206060\n0.75 0.743470\nName: 5734, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5922437735207549, std values: 5.039814920041799, min values: 2.6159e-06, max values: 39.959, median values: 0.25652, and quantile values: 0.25 0.067235\n0.50 0.256520\n0.75 1.007285\nName: 5735, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2909190836685536, std values: 4.875967772176576, min values: 2.5356e-06, max values: 39.668, median values: 0.17711, and quantile values: 0.25 0.054461\n0.50 0.177110\n0.75 0.620330\nName: 5736, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5549349584468553, std values: 5.004410755574164, min values: 9.0075e-07, max values: 40.882, median values: 0.23467, and quantile values: 0.25 0.064573\n0.50 0.234670\n0.75 1.000965\nName: 5737, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.556398327724214, std values: 5.078420993035689, min values: 2.3975e-07, max values: 42.25, median values: 0.22656, and quantile values: 0.25 0.056385\n0.50 0.226560\n0.75 1.023300\nName: 5738, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5587769825012576, std values: 4.948868169468041, min values: 0.0, max values: 39.001, median values: 0.24867, and quantile values: 0.25 0.074953\n0.50 0.248670\n0.75 1.002420\nName: 5739, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5225077144679244, std values: 4.796471536724063, min values: 3.5561e-06, max values: 40.116, median values: 0.2277, and quantile values: 0.25 0.073353\n0.50 0.227700\n0.75 0.925110\nName: 5740, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2254939799481133, std values: 4.859831683288991, min values: 2.9505e-07, max values: 40.636, median values: 0.14682, and quantile values: 0.25 0.040465\n0.50 0.146820\n0.75 0.613365\nName: 5741, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5200738989025222, std values: 4.924852781567714, min values: 1.6962e-08, max values: 41.755, median values: 0.20738, and quantile values: 0.25 0.041378\n0.50 0.207380\n0.75 0.899905\nName: 5742, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4934770203759118, std values: 4.752630928330358, min values: 8.5747e-07, max values: 38.573, median values: 0.21023, and quantile values: 0.25 0.060306\n0.50 0.210230\n0.75 1.000835\nName: 5743, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7505355821031445, std values: 5.303826942505767, min values: 1.9037e-06, max values: 44.323, median values: 0.28282, and quantile values: 0.25 0.082804\n0.50 0.282820\n0.75 1.228250\nName: 5744, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5981416264033332, std values: 5.078337711871915, min values: 6.7663e-07, max values: 42.074, median values: 0.24453, and quantile values: 0.25 0.071163\n0.50 0.244530\n0.75 1.095350\nName: 5745, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.658119048292453, std values: 5.352337346276325, min values: 2.5258e-06, max values: 45.515, median values: 0.25497, and quantile values: 0.25 0.069593\n0.50 0.254970\n0.75 1.082885\nName: 5746, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6093967033913208, std values: 5.017804020889891, min values: 6.2932e-07, max values: 40.723, median values: 0.24797, and quantile values: 0.25 0.068489\n0.50 0.247970\n0.75 1.120450\nName: 5747, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.713358946169811, std values: 5.401660006693562, min values: 1.1746e-05, max values: 42.597, median values: 0.25013, and quantile values: 0.25 0.078757\n0.50 0.250130\n0.75 1.009300\nName: 5748, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.327446233403585, std values: 4.6852735466898405, min values: 7.3487e-07, max values: 37.432, median values: 0.18672, and quantile values: 0.25 0.059232\n0.50 0.186720\n0.75 0.724605\nName: 5749, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3588942035849054, std values: 5.086815575218934, min values: 2.3323e-06, max values: 42.392, median values: 0.181, and quantile values: 0.25 0.049013\n0.50 0.181000\n0.75 0.714665\nName: 5750, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5559574103289309, std values: 5.179034200366524, min values: 1.0458e-06, max values: 44.011, median values: 0.24388, and quantile values: 0.25 0.062669\n0.50 0.243880\n0.75 0.885420\nName: 5751, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5866515059000001, std values: 5.19901747209237, min values: 3.054e-06, max values: 42.488, median values: 0.25547, and quantile values: 0.25 0.073082\n0.50 0.255470\n0.75 0.954180\nName: 5752, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5814258052941825, std values: 4.891721174142372, min values: 1.9975e-08, max values: 39.842, median values: 0.2313, and quantile values: 0.25 0.058391\n0.50 0.231300\n0.75 1.129600\nName: 5753, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4950486153779874, std values: 5.01539073664128, min values: 2.0334e-06, max values: 40.76, median values: 0.25198, and quantile values: 0.25 0.064219\n0.50 0.251980\n0.75 0.897270\nName: 5754, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5394650882855345, std values: 5.131956420561319, min values: 2.5794e-06, max values: 41.522, median values: 0.22785, and quantile values: 0.25 0.070835\n0.50 0.227850\n0.75 0.898445\nName: 5755, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.646961599318239, std values: 5.079013073097205, min values: 4.6108e-06, max values: 40.731, median values: 0.26693, and quantile values: 0.25 0.072813\n0.50 0.266930\n0.75 1.031800\nName: 5756, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8117905231402518, std values: 5.229085565336347, min values: 5.0865e-06, max values: 40.176, median values: 0.32898, and quantile values: 0.25 0.102175\n0.50 0.328980\n0.75 1.121700\nName: 5757, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3082164659642768, std values: 4.62369762973032, min values: 4.2172e-07, max values: 37.165, median values: 0.19373, and quantile values: 0.25 0.051291\n0.50 0.193730\n0.75 0.741505\nName: 5758, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4999581493668552, std values: 4.80673085199325, min values: 2.4713e-07, max values: 38.007, median values: 0.22022, and quantile values: 0.25 0.057695\n0.50 0.220220\n0.75 0.960860\nName: 5759, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2843615847920755, std values: 4.733741682344726, min values: 1.1815e-07, max values: 39.058, median values: 0.17137, and quantile values: 0.25 0.041743\n0.50 0.171370\n0.75 0.648875\nName: 5760, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7751870008176098, std values: 5.130811735952208, min values: 3.1061e-06, max values: 39.734, median values: 0.30589, and quantile values: 0.25 0.076327\n0.50 0.305890\n0.75 1.279200\nName: 5761, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4813126736374214, std values: 5.181494144053952, min values: 6.2405e-07, max values: 45.889, median values: 0.20908, and quantile values: 0.25 0.062969\n0.50 0.209080\n0.75 0.871325\nName: 5762, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.417003121550063, std values: 4.902005837715071, min values: 4.0646e-07, max values: 40.608, median values: 0.20515, and quantile values: 0.25 0.052462\n0.50 0.205150\n0.75 0.818920\nName: 5763, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.574172764725157, std values: 5.010499242177629, min values: 1.9786e-06, max values: 39.848, median values: 0.24441, and quantile values: 0.25 0.07637\n0.50 0.24441\n0.75 1.02220\nName: 5764, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5806902287353777, std values: 4.951095735325086, min values: 2.6425e-08, max values: 40.326, median values: 0.23075, and quantile values: 0.25 0.056455\n0.50 0.230750\n0.75 1.064400\nName: 5765, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3450171585515094, std values: 4.590967410249618, min values: 6.2629e-07, max values: 37.437, median values: 0.19197, and quantile values: 0.25 0.058473\n0.50 0.191970\n0.75 0.805055\nName: 5766, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4801638370712578, std values: 4.90081725230352, min values: 7.2023e-07, max values: 39.417, median values: 0.21971, and quantile values: 0.25 0.063381\n0.50 0.219710\n0.75 0.853410\nName: 5767, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2673391449710063, std values: 4.693498358659496, min values: 1.6461e-07, max values: 38.003, median values: 0.16329, and quantile values: 0.25 0.039429\n0.50 0.163290\n0.75 0.630435\nName: 5768, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6411979936169812, std values: 5.101289895157533, min values: 4.3437e-06, max values: 39.903, median values: 0.24611, and quantile values: 0.25 0.075236\n0.50 0.246110\n0.75 1.000935\nName: 5769, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4186736404227545, std values: 4.893578246507043, min values: 1.6478e-08, max values: 41.221, median values: 0.1814, and quantile values: 0.25 0.039200\n0.50 0.181400\n0.75 0.750725\nName: 5770, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.560940882102516, std values: 4.821485332672682, min values: 1.096e-06, max values: 38.93, median values: 0.25975, and quantile values: 0.25 0.073917\n0.50 0.259750\n0.75 1.057000\nName: 5771, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3919484018357233, std values: 4.573984422284278, min values: 5.088e-08, max values: 37.46, median values: 0.20857, and quantile values: 0.25 0.055296\n0.50 0.208570\n0.75 0.848210\nName: 5772, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4585701226306917, std values: 5.228905157263789, min values: 7.3478e-07, max values: 45.718, median values: 0.19176, and quantile values: 0.25 0.058922\n0.50 0.191760\n0.75 0.839245\nName: 5773, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2577303391515722, std values: 4.779538959856574, min values: 1.9092e-06, max values: 39.327, median values: 0.1764, and quantile values: 0.25 0.049508\n0.50 0.176400\n0.75 0.698900\nName: 5774, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4678388660855974, std values: 5.137655395292852, min values: 3.6241e-07, max values: 45.025, median values: 0.20221, and quantile values: 0.25 0.062006\n0.50 0.202210\n0.75 0.900495\nName: 5775, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.391235270801698, std values: 4.893770275486064, min values: 4.1827e-07, max values: 40.215, median values: 0.20025, and quantile values: 0.25 0.051319\n0.50 0.200250\n0.75 0.779630\nName: 5776, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.299515978313931, std values: 4.7729340628140475, min values: 2.0775e-08, max values: 39.274, median values: 0.15341, and quantile values: 0.25 0.042853\n0.50 0.153410\n0.75 0.678980\nName: 5777, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2526466195611825, std values: 4.642406269536043, min values: 8.5328e-08, max values: 37.804, median values: 0.14812, and quantile values: 0.25 0.041145\n0.50 0.148120\n0.75 0.691275\nName: 5778, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6018226744314465, std values: 5.105148123969712, min values: 1.6617e-06, max values: 42.727, median values: 0.25591, and quantile values: 0.25 0.073264\n0.50 0.255910\n0.75 1.040550\nName: 5779, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3830133727160818, std values: 4.9073569810538675, min values: 2.6727e-08, max values: 41.664, median values: 0.16166, and quantile values: 0.25 0.046287\n0.50 0.161660\n0.75 0.824760\nName: 5780, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5418811330754716, std values: 5.094750146453146, min values: 2.836e-06, max values: 41.833, median values: 0.23557, and quantile values: 0.25 0.071166\n0.50 0.235570\n0.75 0.936265\nName: 5781, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5431768739886793, std values: 4.8930846568560815, min values: 1.9019e-06, max values: 39.001, median values: 0.25794, and quantile values: 0.25 0.074683\n0.50 0.257940\n0.75 0.984010\nName: 5782, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2514456576321638, std values: 4.692947103191707, min values: 2.2004e-08, max values: 37.92, median values: 0.17427, and quantile values: 0.25 0.037587\n0.50 0.174270\n0.75 0.641165\nName: 5783, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7101659636823898, std values: 5.121542039160432, min values: 1.9905e-06, max values: 40.12, median values: 0.2677, and quantile values: 0.25 0.076351\n0.50 0.267700\n0.75 1.173750\nName: 5784, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5495277974164023, std values: 4.9091219989216075, min values: 2.7948e-08, max values: 40.122, median values: 0.20306, and quantile values: 0.25 0.050770\n0.50 0.203060\n0.75 1.000965\nName: 5785, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4432665081754716, std values: 4.8716998780591805, min values: 1.912e-06, max values: 39.557, median values: 0.21947, and quantile values: 0.25 0.059047\n0.50 0.219470\n0.75 0.891880\nName: 5786, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.302296755575849, std values: 4.575383160421329, min values: 6.7946e-07, max values: 37.588, median values: 0.19188, and quantile values: 0.25 0.054461\n0.50 0.191880\n0.75 0.733120\nName: 5787, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6804927548584905, std values: 5.472792697314068, min values: 3.5078e-06, max values: 47.643, median values: 0.29586, and quantile values: 0.25 0.077657\n0.50 0.295860\n0.75 0.967490\nName: 5788, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.565992915837736, std values: 5.102003727375651, min values: 5.311e-06, max values: 41.035, median values: 0.25649, and quantile values: 0.25 0.070808\n0.50 0.256490\n0.75 0.876800\nName: 5789, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.40691797893522, std values: 5.057590910865835, min values: 3.0286e-06, max values: 41.742, median values: 0.19106, and quantile values: 0.25 0.065887\n0.50 0.191060\n0.75 0.772230\nName: 5790, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3868827097106917, std values: 4.736311636223401, min values: 1.8836e-06, max values: 39.921, median values: 0.19003, and quantile values: 0.25 0.055047\n0.50 0.190030\n0.75 0.795155\nName: 5791, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2658078315792454, std values: 4.870672925839572, min values: 1.1439e-06, max values: 39.374, median values: 0.16119, and quantile values: 0.25 0.052726\n0.50 0.161190\n0.75 0.653130\nName: 5792, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.430212567262893, std values: 4.660746971549753, min values: 1.9271e-06, max values: 39.034, median values: 0.21117, and quantile values: 0.25 0.067502\n0.50 0.211170\n0.75 0.873370\nName: 5793, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5081522283446542, std values: 5.000866716977963, min values: 3.7491e-06, max values: 41.133, median values: 0.24427, and quantile values: 0.25 0.069021\n0.50 0.244270\n0.75 0.858550\nName: 5794, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9288501288581323, std values: 5.944642816641089, min values: 2.6643e-08, max values: 56.092, median values: 0.23888, and quantile values: 0.25 0.067042\n0.50 0.238880\n0.75 1.290950\nName: 5795, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6642278633264151, std values: 5.1641337159138825, min values: 4.3518e-06, max values: 40.736, median values: 0.26182, and quantile values: 0.25 0.079344\n0.50 0.261820\n0.75 0.989650\nName: 5796, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3969310250052203, std values: 4.657712957379194, min values: 5.6113e-07, max values: 37.926, median values: 0.21909, and quantile values: 0.25 0.06853\n0.50 0.21909\n0.75 0.84546\nName: 5797, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3332302201287736, std values: 4.874618470409295, min values: 2.0962e-08, max values: 42.322, median values: 0.16597, and quantile values: 0.25 0.032847\n0.50 0.165970\n0.75 0.716640\nName: 5798, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4315734313737107, std values: 4.725510120318158, min values: 4.4342e-07, max values: 37.74, median values: 0.21323, and quantile values: 0.25 0.058843\n0.50 0.213230\n0.75 0.867335\nName: 5799, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6834063696044026, std values: 4.956182496749446, min values: 1.2733e-06, max values: 38.528, median values: 0.22482, and quantile values: 0.25 0.064631\n0.50 0.224820\n0.75 1.116150\nName: 5800, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5351931853056602, std values: 4.91182473336803, min values: 2.8142e-06, max values: 39.652, median values: 0.24216, and quantile values: 0.25 0.067108\n0.50 0.242160\n0.75 0.930140\nName: 5801, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6526321327477989, std values: 5.064546865362161, min values: 1.3199e-06, max values: 40.717, median values: 0.27146, and quantile values: 0.25 0.075684\n0.50 0.271460\n0.75 1.103450\nName: 5802, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3674488848308175, std values: 4.775546910726577, min values: 3.2823e-06, max values: 40.758, median values: 0.22066, and quantile values: 0.25 0.061139\n0.50 0.220660\n0.75 0.756585\nName: 5803, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4680579571616352, std values: 4.862606953818823, min values: 1.4282e-06, max values: 38.615, median values: 0.21397, and quantile values: 0.25 0.064574\n0.50 0.213970\n0.75 0.898135\nName: 5804, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7535531450358492, std values: 5.254716192418801, min values: 2.5829e-06, max values: 43.168, median values: 0.3002, and quantile values: 0.25 0.082322\n0.50 0.300200\n0.75 1.177400\nName: 5805, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3612288742415093, std values: 4.970134195022767, min values: 1.0047e-06, max values: 40.705, median values: 0.15247, and quantile values: 0.25 0.054154\n0.50 0.152470\n0.75 0.780520\nName: 5806, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6259011717981133, std values: 5.152010884753203, min values: 1.0743e-06, max values: 43.116, median values: 0.24342, and quantile values: 0.25 0.065335\n0.50 0.243420\n0.75 1.071150\nName: 5807, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.481459611173585, std values: 4.871305499891069, min values: 1.3306e-06, max values: 38.858, median values: 0.23124, and quantile values: 0.25 0.064149\n0.50 0.231240\n0.75 0.926335\nName: 5808, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3782411584484275, std values: 4.790471567239112, min values: 2.6258e-06, max values: 40.53, median values: 0.21462, and quantile values: 0.25 0.054078\n0.50 0.214620\n0.75 0.721865\nName: 5809, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.41037251096478, std values: 4.914956784225847, min values: 6.259e-07, max values: 39.936, median values: 0.19866, and quantile values: 0.25 0.056498\n0.50 0.198660\n0.75 0.776770\nName: 5810, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6214167173553458, std values: 5.185301634893993, min values: 3.002e-06, max values: 42.044, median values: 0.24284, and quantile values: 0.25 0.074944\n0.50 0.242840\n0.75 0.985450\nName: 5811, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3110783638377987, std values: 4.675542165740675, min values: 5.7051e-07, max values: 37.753, median values: 0.16642, and quantile values: 0.25 0.051285\n0.50 0.166420\n0.75 0.720305\nName: 5812, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5882035711591194, std values: 5.196148733910261, min values: 3.7563e-06, max values: 42.787, median values: 0.25663, and quantile values: 0.25 0.072417\n0.50 0.256630\n0.75 0.932150\nName: 5813, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3630663743779874, std values: 4.818080045001659, min values: 1.6405e-06, max values: 38.779, median values: 0.19178, and quantile values: 0.25 0.061160\n0.50 0.191780\n0.75 0.791025\nName: 5814, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5144028998691823, std values: 5.237430564334397, min values: 2.5908e-06, max values: 44.776, median values: 0.25423, and quantile values: 0.25 0.064698\n0.50 0.254230\n0.75 0.849245\nName: 5815, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6466898901861633, std values: 5.098374265666177, min values: 7.6434e-06, max values: 40.801, median values: 0.28, and quantile values: 0.25 0.084180\n0.50 0.280000\n0.75 0.998175\nName: 5816, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6143973714654087, std values: 5.050582461867147, min values: 5.703e-06, max values: 41.237, median values: 0.23732, and quantile values: 0.25 0.073266\n0.50 0.237320\n0.75 0.971080\nName: 5817, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3777327623908806, std values: 4.756309710844573, min values: 1.0695e-07, max values: 38.331, median values: 0.18919, and quantile values: 0.25 0.045011\n0.50 0.189190\n0.75 0.782625\nName: 5818, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2866648965276732, std values: 4.567579197726678, min values: 1.2257e-07, max values: 36.427, median values: 0.18903, and quantile values: 0.25 0.041235\n0.50 0.189030\n0.75 0.713740\nName: 5819, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3919293095345915, std values: 4.913591895385941, min values: 2.7353e-06, max values: 40.46, median values: 0.19377, and quantile values: 0.25 0.056504\n0.50 0.193770\n0.75 0.783245\nName: 5820, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.578626089983648, std values: 4.953873489480812, min values: 2.8091e-06, max values: 39.773, median values: 0.30663, and quantile values: 0.25 0.081709\n0.50 0.306630\n0.75 1.020985\nName: 5821, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.659284639234591, std values: 5.29971277728733, min values: 6.3275e-06, max values: 43.328, median values: 0.2537, and quantile values: 0.25 0.082489\n0.50 0.253700\n0.75 0.962815\nName: 5822, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4500170619257862, std values: 5.0949403489643235, min values: 2.9769e-06, max values: 41.652, median values: 0.20406, and quantile values: 0.25 0.065108\n0.50 0.204060\n0.75 0.794070\nName: 5823, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5246368833572326, std values: 5.048818763843091, min values: 4.6472e-06, max values: 40.874, median values: 0.24471, and quantile values: 0.25 0.075410\n0.50 0.244710\n0.75 0.871205\nName: 5824, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2271911961135848, std values: 4.466068516518534, min values: 7.6696e-07, max values: 38.085, median values: 0.15561, and quantile values: 0.25 0.049455\n0.50 0.155610\n0.75 0.658005\nName: 5825, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2951038832440251, std values: 4.806977352234276, min values: 1.8253e-06, max values: 39.871, median values: 0.16943, and quantile values: 0.25 0.051703\n0.50 0.169430\n0.75 0.746160\nName: 5826, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3974094386515725, std values: 4.709003319352809, min values: 1.5164e-06, max values: 39.54, median values: 0.19495, and quantile values: 0.25 0.048709\n0.50 0.194950\n0.75 0.898935\nName: 5827, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5374990897490566, std values: 4.932497845196506, min values: 4.9597e-06, max values: 40.65, median values: 0.25419, and quantile values: 0.25 0.070669\n0.50 0.254190\n0.75 0.869300\nName: 5828, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5781487145742137, std values: 5.0243798037757434, min values: 3.1325e-06, max values: 39.583, median values: 0.23027, and quantile values: 0.25 0.072737\n0.50 0.230270\n0.75 0.956790\nName: 5829, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7341283915138366, std values: 5.055239813627821, min values: 5.3397e-06, max values: 40.405, median values: 0.29797, and quantile values: 0.25 0.088366\n0.50 0.297970\n0.75 1.141150\nName: 5830, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2979910871205032, std values: 4.805659745956119, min values: 4.4376e-07, max values: 38.998, median values: 0.1599, and quantile values: 0.25 0.050786\n0.50 0.159900\n0.75 0.674790\nName: 5831, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.344799304181761, std values: 4.743598398677494, min values: 1.6858e-06, max values: 38.423, median values: 0.19796, and quantile values: 0.25 0.061440\n0.50 0.197960\n0.75 0.755985\nName: 5832, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5610921388284278, std values: 4.852262594313378, min values: 4.7002e-07, max values: 38.799, median values: 0.25204, and quantile values: 0.25 0.066659\n0.50 0.252040\n0.75 1.037235\nName: 5833, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3710158860016728, std values: 4.627207256227974, min values: 2.0976e-08, max values: 37.316, median values: 0.17621, and quantile values: 0.25 0.049272\n0.50 0.176210\n0.75 0.822920\nName: 5834, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4711953795836479, std values: 4.6341661444078035, min values: 1.1052e-06, max values: 38.033, median values: 0.20567, and quantile values: 0.25 0.052034\n0.50 0.205670\n0.75 0.898025\nName: 5835, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6648544756402515, std values: 4.967788475929467, min values: 2.4133e-06, max values: 39.354, median values: 0.27785, and quantile values: 0.25 0.071451\n0.50 0.277850\n0.75 1.176900\nName: 5836, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.410300495223585, std values: 4.789183169024357, min values: 1.0775e-07, max values: 38.287, median values: 0.19404, and quantile values: 0.25 0.053559\n0.50 0.194040\n0.75 0.873385\nName: 5837, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.451859888680503, std values: 4.834319439987323, min values: 2.2186e-06, max values: 39.599, median values: 0.19715, and quantile values: 0.25 0.064894\n0.50 0.197150\n0.75 0.823570\nName: 5838, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6536608474747798, std values: 5.019540227183863, min values: 7.7459e-07, max values: 40.22, median values: 0.27296, and quantile values: 0.25 0.075429\n0.50 0.272960\n0.75 1.112200\nName: 5839, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.46947251917478, std values: 4.8861600391633395, min values: 8.4809e-07, max values: 38.843, median values: 0.20093, and quantile values: 0.25 0.058119\n0.50 0.200930\n0.75 0.904550\nName: 5840, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4500255241357296, std values: 4.619890143032353, min values: 1.5931e-08, max values: 36.756, median values: 0.22299, and quantile values: 0.25 0.054543\n0.50 0.222990\n0.75 0.967445\nName: 5841, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4399974848987422, std values: 4.937058912034693, min values: 1.3808e-06, max values: 39.562, median values: 0.17071, and quantile values: 0.25 0.044705\n0.50 0.170710\n0.75 0.837615\nName: 5842, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3074219056285532, std values: 4.855651001221592, min values: 5.4124e-07, max values: 39.997, median values: 0.17082, and quantile values: 0.25 0.051006\n0.50 0.170820\n0.75 0.690105\nName: 5843, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4422793220842767, std values: 4.764239564403333, min values: 1.4726e-06, max values: 38.427, median values: 0.22833, and quantile values: 0.25 0.059313\n0.50 0.228330\n0.75 0.793470\nName: 5844, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7536131534484276, std values: 5.142140824113396, min values: 2.4814e-06, max values: 40.711, median values: 0.28562, and quantile values: 0.25 0.084863\n0.50 0.285620\n0.75 1.244400\nName: 5845, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.549232477755975, std values: 4.953868335350259, min values: 1.5954e-06, max values: 40.407, median values: 0.25094, and quantile values: 0.25 0.076385\n0.50 0.250940\n0.75 1.010890\nName: 5846, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3164226980025158, std values: 4.647968047066501, min values: 2.6484e-06, max values: 40.729, median values: 0.17615, and quantile values: 0.25 0.051303\n0.50 0.176150\n0.75 0.716540\nName: 5847, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4211500514050315, std values: 4.747657744445993, min values: 1.6961e-06, max values: 38.932, median values: 0.19951, and quantile values: 0.25 0.060025\n0.50 0.199510\n0.75 0.783355\nName: 5848, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4105094716050315, std values: 4.789081774965955, min values: 2.4555e-06, max values: 39.772, median values: 0.19159, and quantile values: 0.25 0.05863\n0.50 0.19159\n0.75 0.78401\nName: 5849, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.54248729682956, std values: 5.133375469808773, min values: 4.7103e-06, max values: 40.521, median values: 0.2273, and quantile values: 0.25 0.064781\n0.50 0.227300\n0.75 0.819765\nName: 5850, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3272193990311951, std values: 4.710835685352647, min values: 3.1946e-07, max values: 38.077, median values: 0.16929, and quantile values: 0.25 0.051048\n0.50 0.169290\n0.75 0.761725\nName: 5851, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5794593840790565, std values: 4.923527678442309, min values: 3.1517e-07, max values: 40.12, median values: 0.24266, and quantile values: 0.25 0.060759\n0.50 0.242660\n0.75 1.047915\nName: 5852, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.461637024255346, std values: 5.070855270776484, min values: 1.6188e-06, max values: 42.632, median values: 0.22494, and quantile values: 0.25 0.062243\n0.50 0.224940\n0.75 0.811770\nName: 5853, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5842231546062893, std values: 5.357414185306871, min values: 5.8934e-06, max values: 44.282, median values: 0.24063, and quantile values: 0.25 0.076784\n0.50 0.240630\n0.75 0.870570\nName: 5854, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4586550389043396, std values: 5.03790616597692, min values: 6.2869e-07, max values: 43.305, median values: 0.23403, and quantile values: 0.25 0.05684\n0.50 0.23403\n0.75 0.84804\nName: 5855, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2848583525162265, std values: 4.648704422191869, min values: 1.777e-08, max values: 37.862, median values: 0.17704, and quantile values: 0.25 0.040472\n0.50 0.177040\n0.75 0.743815\nName: 5856, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4150235191647798, std values: 4.680539803266093, min values: 2.6681e-06, max values: 39.294, median values: 0.23113, and quantile values: 0.25 0.063768\n0.50 0.231130\n0.75 0.889100\nName: 5857, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1811326554928867, std values: 4.432577583095408, min values: 6.9489e-08, max values: 35.65, median values: 0.13608, and quantile values: 0.25 0.037993\n0.50 0.136080\n0.75 0.604175\nName: 5858, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5704827718232703, std values: 5.203160352109275, min values: 1.7162e-06, max values: 44.151, median values: 0.21396, and quantile values: 0.25 0.061474\n0.50 0.213960\n0.75 0.937505\nName: 5859, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4747685857201258, std values: 5.1190276134996795, min values: 1.0312e-06, max values: 43.758, median values: 0.23146, and quantile values: 0.25 0.060726\n0.50 0.231460\n0.75 0.829410\nName: 5860, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.546266410061635, std values: 5.110157256376413, min values: 4.115e-06, max values: 40.536, median values: 0.23139, and quantile values: 0.25 0.065074\n0.50 0.231390\n0.75 0.869210\nName: 5861, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3779263778169812, std values: 4.685161350711985, min values: 1.2077e-06, max values: 39.026, median values: 0.21172, and quantile values: 0.25 0.049644\n0.50 0.211720\n0.75 0.791295\nName: 5862, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3722904514295597, std values: 4.989937607208486, min values: 1.9919e-06, max values: 41.895, median values: 0.20665, and quantile values: 0.25 0.057437\n0.50 0.206650\n0.75 0.795885\nName: 5863, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7395089065339622, std values: 5.357256940270952, min values: 3.7107e-06, max values: 44.153, median values: 0.29953, and quantile values: 0.25 0.088718\n0.50 0.299530\n0.75 1.054850\nName: 5864, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6011444081301887, std values: 5.176861665863128, min values: 2.2937e-06, max values: 42.929, median values: 0.23041, and quantile values: 0.25 0.076137\n0.50 0.230410\n0.75 0.974175\nName: 5865, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.335310057910887, std values: 4.5121569324767865, min values: 2.0611e-08, max values: 36.803, median values: 0.19402, and quantile values: 0.25 0.042749\n0.50 0.194020\n0.75 0.793815\nName: 5866, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3166062386679243, std values: 4.874038245373975, min values: 1.8955e-06, max values: 40.551, median values: 0.17518, and quantile values: 0.25 0.044822\n0.50 0.175180\n0.75 0.721890\nName: 5867, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4888394125119497, std values: 4.8260944324151245, min values: 1.854e-06, max values: 38.996, median values: 0.25329, and quantile values: 0.25 0.067343\n0.50 0.253290\n0.75 0.944355\nName: 5868, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4928396576484908, std values: 4.816282508353928, min values: 7.2131e-07, max values: 38.862, median values: 0.2521, and quantile values: 0.25 0.063773\n0.50 0.252100\n0.75 0.949120\nName: 5869, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3444683531691823, std values: 4.714150191600692, min values: 1.0105e-06, max values: 38.931, median values: 0.17446, and quantile values: 0.25 0.056571\n0.50 0.174460\n0.75 0.748575\nName: 5870, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2420406596493712, std values: 4.593436211402842, min values: 6.7235e-07, max values: 37.649, median values: 0.15078, and quantile values: 0.25 0.046583\n0.50 0.150780\n0.75 0.675800\nName: 5871, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6915664900710692, std values: 5.525282816731217, min values: 2.0902e-06, max values: 48.981, median values: 0.25241, and quantile values: 0.25 0.07304\n0.50 0.25241\n0.75 1.06230\nName: 5872, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.532592143097484, std values: 4.995346357336003, min values: 4.7362e-06, max values: 40.659, median values: 0.24261, and quantile values: 0.25 0.069514\n0.50 0.242610\n0.75 0.852565\nName: 5873, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4227846709069185, std values: 4.904071101070455, min values: 2.4712e-06, max values: 40.132, median values: 0.21067, and quantile values: 0.25 0.061793\n0.50 0.210670\n0.75 0.803665\nName: 5874, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5569598257383648, std values: 5.005097197682629, min values: 3.6792e-06, max values: 39.895, median values: 0.2521, and quantile values: 0.25 0.067737\n0.50 0.252100\n0.75 0.971035\nName: 5875, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3370234976534403, std values: 4.883244364110808, min values: 1.4697e-08, max values: 41.167, median values: 0.16492, and quantile values: 0.25 0.048847\n0.50 0.164920\n0.75 0.773900\nName: 5876, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5052739821792454, std values: 4.881883987531168, min values: 4.2326e-06, max values: 40.07, median values: 0.23451, and quantile values: 0.25 0.062685\n0.50 0.234510\n0.75 0.881530\nName: 5877, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.550565198798113, std values: 5.307624886203021, min values: 3.7745e-06, max values: 44.394, median values: 0.2366, and quantile values: 0.25 0.060950\n0.50 0.236600\n0.75 0.904745\nName: 5878, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.425605245093962, std values: 4.715964216487446, min values: 3.6894e-07, max values: 38.752, median values: 0.18873, and quantile values: 0.25 0.057878\n0.50 0.188730\n0.75 0.893560\nName: 5879, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4615267906943394, std values: 4.933766825507921, min values: 1.8442e-06, max values: 39.601, median values: 0.22007, and quantile values: 0.25 0.061916\n0.50 0.220070\n0.75 0.839205\nName: 5880, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4022529000352326, std values: 4.712818051160009, min values: 2.5732e-08, max values: 37.757, median values: 0.20521, and quantile values: 0.25 0.040765\n0.50 0.205210\n0.75 0.848110\nName: 5881, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5979337637471698, std values: 4.987391977998759, min values: 3.712e-06, max values: 40.151, median values: 0.27053, and quantile values: 0.25 0.073817\n0.50 0.270530\n0.75 0.983830\nName: 5882, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4012849111786163, std values: 4.92579553158396, min values: 1.021e-06, max values: 40.681, median values: 0.20761, and quantile values: 0.25 0.053795\n0.50 0.207610\n0.75 0.799390\nName: 5883, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6082753615534593, std values: 4.945665259951427, min values: 5.0571e-06, max values: 40.97, median values: 0.26043, and quantile values: 0.25 0.075057\n0.50 0.260430\n0.75 0.917200\nName: 5884, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5458294317691825, std values: 4.9577127947553326, min values: 3.5913e-06, max values: 40.355, median values: 0.26574, and quantile values: 0.25 0.083416\n0.50 0.265740\n0.75 0.914250\nName: 5885, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2397932112962264, std values: 4.564958530503209, min values: 1.3825e-06, max values: 38.961, median values: 0.14877, and quantile values: 0.25 0.053462\n0.50 0.148770\n0.75 0.654480\nName: 5886, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.469983817583019, std values: 4.943116906110289, min values: 1.5452e-06, max values: 39.829, median values: 0.21961, and quantile values: 0.25 0.053904\n0.50 0.219610\n0.75 0.861145\nName: 5887, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.428626197044025, std values: 4.858714023750261, min values: 1.185e-07, max values: 39.873, median values: 0.18506, and quantile values: 0.25 0.048367\n0.50 0.185060\n0.75 0.868720\nName: 5888, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5609961919036481, std values: 4.712545647726701, min values: 3.6918e-07, max values: 37.671, median values: 0.25274, and quantile values: 0.25 0.069646\n0.50 0.252740\n0.75 1.035900\nName: 5889, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6936379234943395, std values: 4.934576359135493, min values: 2.6439e-06, max values: 38.541, median values: 0.30231, and quantile values: 0.25 0.083649\n0.50 0.302310\n0.75 1.184200\nName: 5890, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5010541124820127, std values: 4.739648947261562, min values: 2.6314e-07, max values: 37.274, median values: 0.25027, and quantile values: 0.25 0.063989\n0.50 0.250270\n0.75 0.997655\nName: 5891, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5150128066012578, std values: 4.969688629967761, min values: 2.3011e-06, max values: 39.309, median values: 0.23945, and quantile values: 0.25 0.069669\n0.50 0.239450\n0.75 0.975485\nName: 5892, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3395710698223902, std values: 4.930483128426635, min values: 1.3316e-07, max values: 41.641, median values: 0.16693, and quantile values: 0.25 0.043547\n0.50 0.166930\n0.75 0.650230\nName: 5893, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4316162379440251, std values: 4.874592198667965, min values: 1.2383e-06, max values: 38.817, median values: 0.20915, and quantile values: 0.25 0.062037\n0.50 0.209150\n0.75 0.817410\nName: 5894, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9157275072477986, std values: 5.434778476362575, min values: 6.0614e-06, max values: 41.467, median values: 0.35418, and quantile values: 0.25 0.099754\n0.50 0.354180\n0.75 1.259500\nName: 5895, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4011660032296855, std values: 4.981082349530141, min values: 5.7832e-07, max values: 41.946, median values: 0.20235, and quantile values: 0.25 0.051957\n0.50 0.202350\n0.75 0.790435\nName: 5896, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5325372689025156, std values: 5.052225645322034, min values: 3.8169e-06, max values: 40.734, median values: 0.24945, and quantile values: 0.25 0.067439\n0.50 0.249450\n0.75 0.874815\nName: 5897, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5857824958237736, std values: 4.843845327676458, min values: 5.5508e-07, max values: 38.082, median values: 0.27566, and quantile values: 0.25 0.071403\n0.50 0.275660\n0.75 1.059100\nName: 5898, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.327775841212868, std values: 4.666694487545708, min values: 1.5316e-08, max values: 37.336, median values: 0.16954, and quantile values: 0.25 0.038213\n0.50 0.169540\n0.75 0.693570\nName: 5899, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4644143340650315, std values: 4.769867278341421, min values: 6.2944e-07, max values: 38.668, median values: 0.22411, and quantile values: 0.25 0.060542\n0.50 0.224110\n0.75 0.947135\nName: 5900, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5562543647018867, std values: 4.906890601532283, min values: 2.915e-06, max values: 39.144, median values: 0.27273, and quantile values: 0.25 0.074570\n0.50 0.272730\n0.75 0.974795\nName: 5901, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4135471456855346, std values: 4.834224913843254, min values: 1.1901e-06, max values: 38.545, median values: 0.19787, and quantile values: 0.25 0.060095\n0.50 0.197870\n0.75 0.750135\nName: 5902, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1003089322508177, std values: 4.403311419311881, min values: 3.7908e-07, max values: 37.073, median values: 0.11455, and quantile values: 0.25 0.035807\n0.50 0.114550\n0.75 0.534320\nName: 5903, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5051683745032074, std values: 4.9924077345497855, min values: 2.8401e-07, max values: 41.36, median values: 0.24797, and quantile values: 0.25 0.058962\n0.50 0.247970\n0.75 0.896085\nName: 5904, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5549587805333334, std values: 4.9325956466556224, min values: 2.8305e-06, max values: 38.763, median values: 0.25834, and quantile values: 0.25 0.075221\n0.50 0.258340\n0.75 0.966995\nName: 5905, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3913145280138366, std values: 4.64858281518272, min values: 1.3956e-06, max values: 38.491, median values: 0.19432, and quantile values: 0.25 0.060558\n0.50 0.194320\n0.75 0.803705\nName: 5906, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5372660958974844, std values: 4.97977659721998, min values: 2.025e-06, max values: 39.705, median values: 0.2273, and quantile values: 0.25 0.064206\n0.50 0.227300\n0.75 0.923185\nName: 5907, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3821394646179244, std values: 4.938870052912974, min values: 4.6655e-07, max values: 41.454, median values: 0.17699, and quantile values: 0.25 0.051662\n0.50 0.176990\n0.75 0.710310\nName: 5908, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6123981760339623, std values: 4.92896658027601, min values: 2.7244e-06, max values: 40.37, median values: 0.23927, and quantile values: 0.25 0.070212\n0.50 0.239270\n0.75 1.029450\nName: 5909, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4803713640667737, std values: 5.188593573868812, min values: 1.1227e-08, max values: 46.021, median values: 0.19714, and quantile values: 0.25 0.042395\n0.50 0.197140\n0.75 0.846665\nName: 5910, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4200658636384276, std values: 4.736073002861203, min values: 1.6003e-07, max values: 38.407, median values: 0.20114, and quantile values: 0.25 0.052659\n0.50 0.201140\n0.75 0.845955\nName: 5911, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3845292077610063, std values: 4.556744621126643, min values: 3.0301e-06, max values: 39.174, median values: 0.21924, and quantile values: 0.25 0.066640\n0.50 0.219240\n0.75 0.809535\nName: 5912, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.357124966473585, std values: 4.909160583591214, min values: 2.3041e-06, max values: 39.392, median values: 0.18548, and quantile values: 0.25 0.056559\n0.50 0.185480\n0.75 0.684850\nName: 5913, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3989255145912138, std values: 5.038444991812432, min values: 2.9333e-08, max values: 44.186, median values: 0.20428, and quantile values: 0.25 0.043827\n0.50 0.204280\n0.75 0.742745\nName: 5914, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.520431900567296, std values: 4.948456472186259, min values: 1.7526e-06, max values: 39.797, median values: 0.23607, and quantile values: 0.25 0.067493\n0.50 0.236070\n0.75 0.924470\nName: 5915, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3257413595048428, std values: 4.750727663102862, min values: 8.3377e-07, max values: 38.285, median values: 0.19189, and quantile values: 0.25 0.056337\n0.50 0.191890\n0.75 0.732970\nName: 5916, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2111616346477987, std values: 4.47322144896749, min values: 8.624e-07, max values: 37.395, median values: 0.16564, and quantile values: 0.25 0.053457\n0.50 0.165640\n0.75 0.606565\nName: 5917, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3713892223201887, std values: 5.18307425296788, min values: 9.2791e-07, max values: 46.178, median values: 0.16891, and quantile values: 0.25 0.055011\n0.50 0.168910\n0.75 0.704410\nName: 5918, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3921479844056603, std values: 4.832028988684662, min values: 2.4187e-06, max values: 39.585, median values: 0.20246, and quantile values: 0.25 0.062058\n0.50 0.202460\n0.75 0.773585\nName: 5919, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.406363790543396, std values: 4.887036241867605, min values: 1.0066e-06, max values: 39.777, median values: 0.19705, and quantile values: 0.25 0.055350\n0.50 0.197050\n0.75 0.845555\nName: 5920, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5292466178823898, std values: 4.94684252513735, min values: 1.981e-06, max values: 39.719, median values: 0.27762, and quantile values: 0.25 0.071743\n0.50 0.277620\n0.75 0.963560\nName: 5921, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.548056516962264, std values: 4.844118759525585, min values: 2.5493e-08, max values: 39.632, median values: 0.24023, and quantile values: 0.25 0.053682\n0.50 0.240230\n0.75 0.978035\nName: 5922, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6571030804855345, std values: 5.008575757145239, min values: 4.6799e-06, max values: 40.046, median values: 0.26066, and quantile values: 0.25 0.081401\n0.50 0.260660\n0.75 1.044235\nName: 5923, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5465977623113207, std values: 4.848468479915325, min values: 2.357e-06, max values: 38.856, median values: 0.25223, and quantile values: 0.25 0.075579\n0.50 0.252230\n0.75 0.995565\nName: 5924, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3667136457944025, std values: 4.6574890636431, min values: 9.3121e-07, max values: 38.461, median values: 0.1766, and quantile values: 0.25 0.056183\n0.50 0.176600\n0.75 0.825935\nName: 5925, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4920693764274844, std values: 5.251211159203257, min values: 6.6157e-07, max values: 46.719, median values: 0.24238, and quantile values: 0.25 0.068057\n0.50 0.242380\n0.75 0.883220\nName: 5926, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5717570322128305, std values: 4.876314900132463, min values: 7.8224e-07, max values: 38.155, median values: 0.25772, and quantile values: 0.25 0.072424\n0.50 0.257720\n0.75 1.060950\nName: 5927, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4644710466150943, std values: 5.058626866159819, min values: 2.1788e-06, max values: 42.07, median values: 0.21273, and quantile values: 0.25 0.066693\n0.50 0.212730\n0.75 0.834085\nName: 5928, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6757627596194968, std values: 5.287815348869525, min values: 6.2625e-06, max values: 41.447, median values: 0.25804, and quantile values: 0.25 0.069985\n0.50 0.258040\n0.75 0.936605\nName: 5929, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3608037653012957, std values: 4.7145160957431305, min values: 2.3435e-08, max values: 38.869, median values: 0.16206, and quantile values: 0.25 0.033412\n0.50 0.162060\n0.75 0.737340\nName: 5930, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3105873944074842, std values: 4.953733586064435, min values: 8.8919e-07, max values: 40.92, median values: 0.15755, and quantile values: 0.25 0.045512\n0.50 0.157550\n0.75 0.756990\nName: 5931, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6465849307427673, std values: 5.118706267264202, min values: 3.037e-06, max values: 40.583, median values: 0.30831, and quantile values: 0.25 0.076477\n0.50 0.308310\n0.75 1.073120\nName: 5932, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.401951116340063, std values: 4.93675488380474, min values: 3.1321e-07, max values: 41.876, median values: 0.17906, and quantile values: 0.25 0.04833\n0.50 0.17906\n0.75 0.74207\nName: 5933, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.29521791181761, std values: 4.798438766665151, min values: 2.2673e-06, max values: 40.465, median values: 0.18427, and quantile values: 0.25 0.052438\n0.50 0.184270\n0.75 0.722800\nName: 5934, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4724687608402516, std values: 5.25431394852595, min values: 2.728e-06, max values: 44.686, median values: 0.19294, and quantile values: 0.25 0.06459\n0.50 0.19294\n0.75 0.78531\nName: 5935, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8350909854144652, std values: 5.386343617057381, min values: 1.522e-06, max values: 44.403, median values: 0.30641, and quantile values: 0.25 0.080804\n0.50 0.306410\n0.75 1.247300\nName: 5936, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.551149733899371, std values: 4.9282373741416565, min values: 4.0648e-06, max values: 40.881, median values: 0.24726, and quantile values: 0.25 0.065506\n0.50 0.247260\n0.75 0.934810\nName: 5937, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4474436471490568, std values: 4.984790431508045, min values: 3.3643e-06, max values: 40.703, median values: 0.21881, and quantile values: 0.25 0.066224\n0.50 0.218810\n0.75 0.811280\nName: 5938, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.30686390203, std values: 4.579967239542921, min values: 6.4347e-07, max values: 38.574, median values: 0.16308, and quantile values: 0.25 0.052136\n0.50 0.163080\n0.75 0.757860\nName: 5939, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.512600555100415, std values: 4.712177181597299, min values: 3.2866e-08, max values: 37.006, median values: 0.20644, and quantile values: 0.25 0.053238\n0.50 0.206440\n0.75 1.023550\nName: 5940, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4383360597610062, std values: 4.938141187115771, min values: 2.951e-07, max values: 41.155, median values: 0.18866, and quantile values: 0.25 0.056059\n0.50 0.188660\n0.75 0.836415\nName: 5941, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.490883539447107, std values: 4.950451401136163, min values: 3.2569e-07, max values: 40.506, median values: 0.23008, and quantile values: 0.25 0.060993\n0.50 0.230080\n0.75 0.935250\nName: 5942, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5415640718333332, std values: 4.719412967380382, min values: 1.5537e-06, max values: 38.791, median values: 0.23674, and quantile values: 0.25 0.073803\n0.50 0.236740\n0.75 1.025550\nName: 5943, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2913944987345913, std values: 4.882562702703606, min values: 1.0922e-06, max values: 39.902, median values: 0.16256, and quantile values: 0.25 0.047950\n0.50 0.162560\n0.75 0.741965\nName: 5944, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6730056584974844, std values: 4.928058784584925, min values: 1.2566e-06, max values: 38.655, median values: 0.29154, and quantile values: 0.25 0.080744\n0.50 0.291540\n0.75 1.161250\nName: 5945, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.453253823808805, std values: 4.801876380065854, min values: 2.0446e-06, max values: 39.516, median values: 0.23578, and quantile values: 0.25 0.059922\n0.50 0.235780\n0.75 0.963810\nName: 5946, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4635047526415095, std values: 5.04726016922291, min values: 1.0761e-06, max values: 42.779, median values: 0.2152, and quantile values: 0.25 0.060754\n0.50 0.215200\n0.75 0.807475\nName: 5947, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3675740633201758, std values: 4.52433965965161, min values: 3.2958e-08, max values: 36.498, median values: 0.20786, and quantile values: 0.25 0.041693\n0.50 0.207860\n0.75 0.785960\nName: 5948, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7864191026100626, std values: 5.174299716141319, min values: 3.0628e-06, max values: 41.223, median values: 0.3156, and quantile values: 0.25 0.080134\n0.50 0.315600\n0.75 1.299250\nName: 5949, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6137500376608174, std values: 5.163694606893758, min values: 7.8887e-07, max values: 43.779, median values: 0.27667, and quantile values: 0.25 0.071514\n0.50 0.276670\n0.75 1.030700\nName: 5950, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4799907610708176, std values: 4.666775462243053, min values: 6.9586e-07, max values: 37.24, median values: 0.20015, and quantile values: 0.25 0.062012\n0.50 0.200150\n0.75 0.901080\nName: 5951, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5835396629996226, std values: 4.869172288811889, min values: 4.3374e-07, max values: 38.253, median values: 0.25148, and quantile values: 0.25 0.069481\n0.50 0.251480\n0.75 1.078550\nName: 5952, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.424476503055346, std values: 4.9672218117389795, min values: 2.97e-08, max values: 42.471, median values: 0.19349, and quantile values: 0.25 0.045631\n0.50 0.193490\n0.75 0.832775\nName: 5953, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4954172358955975, std values: 4.929697088016526, min values: 3.1477e-06, max values: 39.886, median values: 0.22748, and quantile values: 0.25 0.071358\n0.50 0.227480\n0.75 0.897595\nName: 5954, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6225496628685534, std values: 5.045747098862341, min values: 1.3306e-06, max values: 40.666, median values: 0.25246, and quantile values: 0.25 0.06401\n0.50 0.25246\n0.75 1.09765\nName: 5955, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5381961865496854, std values: 4.734890142695883, min values: 1.5629e-06, max values: 39.066, median values: 0.24689, and quantile values: 0.25 0.067969\n0.50 0.246890\n0.75 1.089300\nName: 5956, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.320877941383654, std values: 4.675468813339067, min values: 3.8741e-08, max values: 38.023, median values: 0.16323, and quantile values: 0.25 0.041536\n0.50 0.163230\n0.75 0.692495\nName: 5957, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4110861522842766, std values: 4.92107593767958, min values: 1.5941e-06, max values: 40.054, median values: 0.20157, and quantile values: 0.25 0.066584\n0.50 0.201570\n0.75 0.836720\nName: 5958, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5590074336572328, std values: 4.929222057230549, min values: 2.4214e-06, max values: 38.966, median values: 0.2338, and quantile values: 0.25 0.065647\n0.50 0.233800\n0.75 1.011050\nName: 5959, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3433865551050315, std values: 4.736641408369962, min values: 1.2895e-07, max values: 38.764, median values: 0.15193, and quantile values: 0.25 0.043191\n0.50 0.151930\n0.75 0.746280\nName: 5960, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4280470438522013, std values: 4.848590874549613, min values: 3.9903e-06, max values: 40.547, median values: 0.22209, and quantile values: 0.25 0.065142\n0.50 0.222090\n0.75 0.687050\nName: 5961, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.344862683091761, std values: 4.756393509686363, min values: 2.387e-08, max values: 38.94, median values: 0.18547, and quantile values: 0.25 0.047088\n0.50 0.185470\n0.75 0.714360\nName: 5962, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.420626734664654, std values: 5.163381049019833, min values: 6.3438e-07, max values: 45.237, median values: 0.16266, and quantile values: 0.25 0.058159\n0.50 0.162660\n0.75 0.834415\nName: 5963, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5606799378754719, std values: 4.788117759118982, min values: 1.2937e-06, max values: 38.587, median values: 0.22289, and quantile values: 0.25 0.070093\n0.50 0.222890\n0.75 1.033350\nName: 5964, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6456262464855345, std values: 5.2217148886677025, min values: 4.8294e-06, max values: 41.629, median values: 0.26339, and quantile values: 0.25 0.079854\n0.50 0.263390\n0.75 0.944755\nName: 5965, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2539687263715031, std values: 4.524523484672672, min values: 1.5639e-08, max values: 36.381, median values: 0.15484, and quantile values: 0.25 0.039157\n0.50 0.154840\n0.75 0.636735\nName: 5966, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6773012678037733, std values: 5.0401583132053105, min values: 2.1766e-06, max values: 39.898, median values: 0.30493, and quantile values: 0.25 0.078559\n0.50 0.304930\n0.75 1.115550\nName: 5967, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4454702580471697, std values: 4.935626771717939, min values: 6.259e-07, max values: 40.288, median values: 0.21172, and quantile values: 0.25 0.053869\n0.50 0.211720\n0.75 0.880895\nName: 5968, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3918990712625157, std values: 4.721785919136286, min values: 4.1134e-07, max values: 37.752, median values: 0.21752, and quantile values: 0.25 0.056169\n0.50 0.217520\n0.75 0.813240\nName: 5969, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6035960648219498, std values: 5.432819992031461, min values: 4.7969e-07, max values: 48.796, median values: 0.23834, and quantile values: 0.25 0.064219\n0.50 0.238340\n0.75 0.927595\nName: 5970, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6542451130597484, std values: 5.127185033218602, min values: 3.9805e-06, max values: 40.398, median values: 0.28718, and quantile values: 0.25 0.081045\n0.50 0.287180\n0.75 1.092950\nName: 5971, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.717439187642767, std values: 5.357410258891128, min values: 1.7992e-06, max values: 45.889, median values: 0.24898, and quantile values: 0.25 0.070756\n0.50 0.248980\n0.75 1.098000\nName: 5972, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.377651906491195, std values: 4.764506207592702, min values: 1.9304e-06, max values: 39.032, median values: 0.19704, and quantile values: 0.25 0.058761\n0.50 0.197040\n0.75 0.823830\nName: 5973, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4856804042723268, std values: 4.873115254362492, min values: 1.6408e-06, max values: 39.852, median values: 0.22686, and quantile values: 0.25 0.061665\n0.50 0.226860\n0.75 0.950925\nName: 5974, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4468278010867923, std values: 4.986270095059173, min values: 2.4746e-06, max values: 39.977, median values: 0.21448, and quantile values: 0.25 0.064663\n0.50 0.214480\n0.75 0.842420\nName: 5975, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5370465049182387, std values: 4.815930315918415, min values: 1.1689e-06, max values: 38.092, median values: 0.20433, and quantile values: 0.25 0.074046\n0.50 0.204330\n0.75 0.955160\nName: 5976, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5736460575167925, std values: 5.008124122048935, min values: 8.6377e-07, max values: 41.0, median values: 0.26095, and quantile values: 0.25 0.070023\n0.50 0.260950\n0.75 1.067550\nName: 5977, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4727496772842767, std values: 4.981512593445391, min values: 6.128e-07, max values: 41.065, median values: 0.22614, and quantile values: 0.25 0.060126\n0.50 0.226140\n0.75 0.859280\nName: 5978, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.218278494721384, std values: 5.659452968422983, min values: 5.3867e-06, max values: 42.685, median values: 0.40571, and quantile values: 0.25 0.13437\n0.50 0.40571\n0.75 1.58000\nName: 5979, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3090307426321386, std values: 4.895952406236477, min values: 3.5931e-07, max values: 41.692, median values: 0.15498, and quantile values: 0.25 0.04562\n0.50 0.15498\n0.75 0.68772\nName: 5980, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.533270591336478, std values: 4.627802221545496, min values: 2.2612e-06, max values: 38.972, median values: 0.26152, and quantile values: 0.25 0.076412\n0.50 0.261520\n0.75 1.020890\nName: 5981, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3914337581897482, std values: 4.928760870402361, min values: 4.6767e-07, max values: 41.659, median values: 0.18833, and quantile values: 0.25 0.055998\n0.50 0.188330\n0.75 0.823520\nName: 5982, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4480118967811322, std values: 4.777299065753622, min values: 1.3297e-06, max values: 38.883, median values: 0.19129, and quantile values: 0.25 0.054797\n0.50 0.191290\n0.75 0.885290\nName: 5983, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2955903405826417, std values: 4.637899470101796, min values: 4.0848e-07, max values: 36.758, median values: 0.17322, and quantile values: 0.25 0.047969\n0.50 0.173220\n0.75 0.689470\nName: 5984, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3797166060973587, std values: 4.717298355517116, min values: 7.5918e-07, max values: 37.923, median values: 0.19811, and quantile values: 0.25 0.049704\n0.50 0.198110\n0.75 0.773920\nName: 5985, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3077229257704401, std values: 4.710526642991054, min values: 2.4444e-06, max values: 39.488, median values: 0.18069, and quantile values: 0.25 0.062369\n0.50 0.180690\n0.75 0.685255\nName: 5986, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3661788625962266, std values: 4.696429277091428, min values: 1.1123e-06, max values: 38.403, median values: 0.21713, and quantile values: 0.25 0.064674\n0.50 0.217130\n0.75 0.791565\nName: 5987, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.388451141398742, std values: 5.307628844857089, min values: 1.8642e-06, max values: 46.342, median values: 0.16465, and quantile values: 0.25 0.046909\n0.50 0.164650\n0.75 0.715300\nName: 5988, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5039106200301888, std values: 5.11475226662088, min values: 2.6399e-06, max values: 42.393, median values: 0.24246, and quantile values: 0.25 0.060406\n0.50 0.242460\n0.75 0.889555\nName: 5989, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.528567821991195, std values: 5.09181247338666, min values: 3.2891e-06, max values: 41.768, median values: 0.22126, and quantile values: 0.25 0.070324\n0.50 0.221260\n0.75 0.906365\nName: 5990, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5746676427295598, std values: 4.787308994817622, min values: 2.2074e-06, max values: 39.328, median values: 0.24726, and quantile values: 0.25 0.072072\n0.50 0.247260\n0.75 1.047950\nName: 5991, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5989079093889307, std values: 4.944740814744409, min values: 3.7074e-07, max values: 39.621, median values: 0.25504, and quantile values: 0.25 0.065495\n0.50 0.255040\n0.75 1.088950\nName: 5992, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4288999347301887, std values: 5.108640745040397, min values: 1.8727e-06, max values: 43.24, median values: 0.19494, and quantile values: 0.25 0.054645\n0.50 0.194940\n0.75 0.797300\nName: 5993, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4448875805918238, std values: 4.887901691434423, min values: 1.0115e-06, max values: 39.271, median values: 0.21251, and quantile values: 0.25 0.055733\n0.50 0.212510\n0.75 0.838190\nName: 5994, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7347490882817609, std values: 5.194897861707628, min values: 2.6381e-06, max values: 41.411, median values: 0.3035, and quantile values: 0.25 0.079873\n0.50 0.303500\n0.75 1.232950\nName: 5995, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.49646325958239, std values: 4.860764890970808, min values: 2.5669e-06, max values: 39.931, median values: 0.26603, and quantile values: 0.25 0.065215\n0.50 0.266030\n0.75 0.917655\nName: 5996, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.70155766538239, std values: 5.144750974762083, min values: 2.159e-06, max values: 41.39, median values: 0.28899, and quantile values: 0.25 0.084319\n0.50 0.288990\n0.75 1.181300\nName: 5997, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.502435950689937, std values: 5.12816959378589, min values: 2.2087e-06, max values: 42.925, median values: 0.25117, and quantile values: 0.25 0.076449\n0.50 0.251170\n0.75 0.877130\nName: 5998, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6660404642433964, std values: 4.952765025137685, min values: 3.7714e-06, max values: 39.702, median values: 0.28955, and quantile values: 0.25 0.08165\n0.50 0.28955\n0.75 1.14155\nName: 5999, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7051464357490567, std values: 5.080799164374682, min values: 2.7275e-06, max values: 39.711, median values: 0.25629, and quantile values: 0.25 0.080584\n0.50 0.256290\n0.75 1.089550\nName: 6000, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5844456588150941, std values: 5.0337791540424766, min values: 1.9482e-06, max values: 40.509, median values: 0.26127, and quantile values: 0.25 0.070044\n0.50 0.261270\n0.75 1.017600\nName: 6001, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.464221171581761, std values: 4.970182354822725, min values: 3.2638e-06, max values: 40.05, median values: 0.2286, and quantile values: 0.25 0.064159\n0.50 0.228600\n0.75 0.854690\nName: 6002, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6082564610918237, std values: 5.0589116668056615, min values: 3.915e-06, max values: 40.079, median values: 0.27734, and quantile values: 0.25 0.076759\n0.50 0.277340\n0.75 0.951880\nName: 6003, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7847621064037735, std values: 5.057277545601408, min values: 1.1456e-06, max values: 38.696, median values: 0.30567, and quantile values: 0.25 0.077081\n0.50 0.305670\n0.75 1.353650\nName: 6004, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4473742879486162, std values: 4.965940669085221, min values: 1.853e-08, max values: 42.008, median values: 0.20962, and quantile values: 0.25 0.057502\n0.50 0.209620\n0.75 0.864685\nName: 6005, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6506386329320752, std values: 5.208832460902451, min values: 2.9567e-06, max values: 42.232, median values: 0.27667, and quantile values: 0.25 0.074915\n0.50 0.276670\n0.75 1.054200\nName: 6006, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4838669866213836, std values: 4.86856346533745, min values: 2.71e-06, max values: 39.834, median values: 0.22168, and quantile values: 0.25 0.066086\n0.50 0.221680\n0.75 0.899540\nName: 6007, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4441248712566037, std values: 4.881971507847261, min values: 1.4025e-06, max values: 39.218, median values: 0.2384, and quantile values: 0.25 0.061861\n0.50 0.238400\n0.75 0.894180\nName: 6008, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.682300540662893, std values: 5.259006754758585, min values: 3.414e-06, max values: 43.069, median values: 0.27527, and quantile values: 0.25 0.081284\n0.50 0.275270\n0.75 1.053650\nName: 6009, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2163308390721006, std values: 4.7450591854792314, min values: 3.9794e-08, max values: 39.477, median values: 0.13633, and quantile values: 0.25 0.043207\n0.50 0.136330\n0.75 0.569840\nName: 6010, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6979761239301885, std values: 4.991207657993084, min values: 0.0, max values: 38.615, median values: 0.27209, and quantile values: 0.25 0.072514\n0.50 0.272090\n0.75 1.181650\nName: 6011, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5142424084786164, std values: 5.0291064663650324, min values: 1.6854e-06, max values: 40.805, median values: 0.23744, and quantile values: 0.25 0.063506\n0.50 0.237440\n0.75 0.886860\nName: 6012, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8538855351067298, std values: 5.679450005429895, min values: 6.8047e-07, max values: 51.254, median values: 0.27457, and quantile values: 0.25 0.067679\n0.50 0.274570\n0.75 1.195750\nName: 6013, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5926099288037736, std values: 5.202009913815268, min values: 3.3158e-06, max values: 43.029, median values: 0.26322, and quantile values: 0.25 0.072746\n0.50 0.263220\n0.75 0.952865\nName: 6014, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5749414188384276, std values: 4.935660307527324, min values: 8.4071e-07, max values: 39.629, median values: 0.2249, and quantile values: 0.25 0.066817\n0.50 0.224900\n0.75 1.008970\nName: 6015, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3586343124614464, std values: 5.204981250140881, min values: 7.5987e-07, max values: 45.339, median values: 0.15012, and quantile values: 0.25 0.044354\n0.50 0.150120\n0.75 0.728645\nName: 6016, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4398087798496855, std values: 4.667053856173333, min values: 3.456e-06, max values: 40.145, median values: 0.25996, and quantile values: 0.25 0.064011\n0.50 0.259960\n0.75 0.840935\nName: 6017, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4043589227157234, std values: 5.074798169652815, min values: 1.7099e-06, max values: 41.393, median values: 0.18785, and quantile values: 0.25 0.056619\n0.50 0.187850\n0.75 0.721085\nName: 6018, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.588558561707547, std values: 4.9361720705378245, min values: 1.908e-06, max values: 38.757, median values: 0.2673, and quantile values: 0.25 0.064679\n0.50 0.267300\n0.75 1.067950\nName: 6019, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5527202306171761, std values: 4.9609890173062245, min values: 1.8611e-08, max values: 41.51, median values: 0.20737, and quantile values: 0.25 0.048216\n0.50 0.207370\n0.75 0.924930\nName: 6020, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3880759421157236, std values: 5.027389743794137, min values: 1.8748e-06, max values: 41.807, median values: 0.20352, and quantile values: 0.25 0.05232\n0.50 0.20352\n0.75 0.84637\nName: 6021, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5127002730490566, std values: 4.913170541133414, min values: 1.3797e-06, max values: 39.603, median values: 0.21441, and quantile values: 0.25 0.062707\n0.50 0.214410\n0.75 0.880205\nName: 6022, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2925962681503147, std values: 4.701245214166969, min values: 1.0742e-06, max values: 38.074, median values: 0.20255, and quantile values: 0.25 0.060894\n0.50 0.202550\n0.75 0.721700\nName: 6023, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4795484195037738, std values: 4.815962583530138, min values: 2.191e-06, max values: 39.203, median values: 0.23962, and quantile values: 0.25 0.063473\n0.50 0.239620\n0.75 0.904395\nName: 6024, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6928304250974842, std values: 5.302467585854041, min values: 4.3321e-06, max values: 43.593, median values: 0.26291, and quantile values: 0.25 0.080601\n0.50 0.262910\n0.75 1.035700\nName: 6025, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3429946998072955, std values: 5.0172504755876695, min values: 7.7426e-07, max values: 42.616, median values: 0.1892, and quantile values: 0.25 0.046355\n0.50 0.189200\n0.75 0.727640\nName: 6026, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5149196352289307, std values: 4.964901753694873, min values: 1.115e-06, max values: 40.313, median values: 0.2109, and quantile values: 0.25 0.067996\n0.50 0.210900\n0.75 0.939375\nName: 6027, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5933770775389935, std values: 5.122613120633, min values: 4.8232e-06, max values: 40.792, median values: 0.2632, and quantile values: 0.25 0.073249\n0.50 0.263200\n0.75 0.885375\nName: 6028, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5657196848937107, std values: 4.9383421846206, min values: 3.8274e-06, max values: 39.252, median values: 0.25469, and quantile values: 0.25 0.075035\n0.50 0.254690\n0.75 0.980130\nName: 6029, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6068156428182392, std values: 5.198250421028274, min values: 2.1346e-06, max values: 43.092, median values: 0.23367, and quantile values: 0.25 0.072747\n0.50 0.233670\n0.75 1.012165\nName: 6030, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6107517629564152, std values: 5.179670022404707, min values: 3.6437e-07, max values: 44.386, median values: 0.24371, and quantile values: 0.25 0.05712\n0.50 0.24371\n0.75 1.05530\nName: 6031, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4086391910291194, std values: 4.887738620670123, min values: 9.7503e-07, max values: 39.688, median values: 0.20345, and quantile values: 0.25 0.056007\n0.50 0.203450\n0.75 0.816825\nName: 6032, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.401944199019497, std values: 4.986199380287776, min values: 2.3937e-06, max values: 40.78, median values: 0.19673, and quantile values: 0.25 0.060368\n0.50 0.196730\n0.75 0.758760\nName: 6033, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4385333731716983, std values: 5.106686909781614, min values: 1.4402e-06, max values: 42.588, median values: 0.19169, and quantile values: 0.25 0.059022\n0.50 0.191690\n0.75 0.757095\nName: 6034, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6197509407012576, std values: 4.990749529824708, min values: 2.5506e-06, max values: 39.516, median values: 0.26574, and quantile values: 0.25 0.077305\n0.50 0.265740\n0.75 1.063800\nName: 6035, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.499336456267296, std values: 4.8553291716140725, min values: 1.374e-06, max values: 38.337, median values: 0.23334, and quantile values: 0.25 0.068832\n0.50 0.233340\n0.75 0.914280\nName: 6036, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4499977086088047, std values: 4.75831845940299, min values: 1.6692e-06, max values: 39.142, median values: 0.24915, and quantile values: 0.25 0.064017\n0.50 0.249150\n0.75 0.905000\nName: 6037, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.647980159788679, std values: 5.0977651395462145, min values: 3.7413e-06, max values: 40.466, median values: 0.27401, and quantile values: 0.25 0.06597\n0.50 0.27401\n0.75 1.14625\nName: 6038, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4623613489660376, std values: 5.096359046085715, min values: 1.6754e-06, max values: 42.125, median values: 0.20036, and quantile values: 0.25 0.048326\n0.50 0.200360\n0.75 0.869345\nName: 6039, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.0063047699413836, std values: 5.994422980029895, min values: 6.3788e-07, max values: 55.774, median values: 0.35174, and quantile values: 0.25 0.078696\n0.50 0.351740\n0.75 1.440450\nName: 6040, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6966986253509435, std values: 4.86297497583567, min values: 3.5311e-06, max values: 38.824, median values: 0.29982, and quantile values: 0.25 0.09811\n0.50 0.29982\n0.75 1.13825\nName: 6041, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6102027774578616, std values: 5.239048026463904, min values: 2.1032e-06, max values: 43.942, median values: 0.26267, and quantile values: 0.25 0.071384\n0.50 0.262670\n0.75 1.021760\nName: 6042, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4230055278459122, std values: 4.872598640207386, min values: 1.4718e-06, max values: 38.862, median values: 0.21949, and quantile values: 0.25 0.056340\n0.50 0.219490\n0.75 0.818915\nName: 6043, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8888342838786158, std values: 5.416217302624843, min values: 3.0967e-06, max values: 44.485, median values: 0.34636, and quantile values: 0.25 0.089934\n0.50 0.346360\n0.75 1.325400\nName: 6044, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.483244830143396, std values: 4.809389248446884, min values: 3.5181e-06, max values: 39.595, median values: 0.24801, and quantile values: 0.25 0.065843\n0.50 0.248010\n0.75 0.921335\nName: 6045, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3327723548477357, std values: 4.652017209318321, min values: 1.5804e-07, max values: 37.063, median values: 0.13175, and quantile values: 0.25 0.032045\n0.50 0.131750\n0.75 0.714580\nName: 6046, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5960632155713836, std values: 4.840449757887324, min values: 4.2695e-07, max values: 37.728, median values: 0.24958, and quantile values: 0.25 0.068594\n0.50 0.249580\n0.75 1.112050\nName: 6047, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.41048524274717, std values: 4.799130927950119, min values: 2.2535e-06, max values: 39.042, median values: 0.21584, and quantile values: 0.25 0.065118\n0.50 0.215840\n0.75 0.795975\nName: 6048, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4020499221880502, std values: 4.833039022137194, min values: 1.3334e-06, max values: 39.703, median values: 0.2098, and quantile values: 0.25 0.058693\n0.50 0.209800\n0.75 0.818295\nName: 6049, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4837246167974214, std values: 5.083468962765819, min values: 3.3899e-07, max values: 44.187, median values: 0.20831, and quantile values: 0.25 0.054599\n0.50 0.208310\n0.75 0.872975\nName: 6050, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3452477625390566, std values: 4.64686991336213, min values: 9.0461e-07, max values: 37.672, median values: 0.19258, and quantile values: 0.25 0.052421\n0.50 0.192580\n0.75 0.810705\nName: 6051, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4320039813113208, std values: 4.7568258392564955, min values: 1.0619e-06, max values: 37.414, median values: 0.22174, and quantile values: 0.25 0.065474\n0.50 0.221740\n0.75 0.873545\nName: 6052, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5643047258962264, std values: 5.117213892714429, min values: 2.3176e-06, max values: 42.251, median values: 0.24976, and quantile values: 0.25 0.072134\n0.50 0.249760\n0.75 0.957150\nName: 6053, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.597946107581761, std values: 5.190574588402532, min values: 4.1327e-06, max values: 41.794, median values: 0.22477, and quantile values: 0.25 0.076593\n0.50 0.224770\n0.75 0.975565\nName: 6054, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3629141645503142, std values: 5.039507638754144, min values: 8.817e-07, max values: 42.367, median values: 0.17255, and quantile values: 0.25 0.058015\n0.50 0.172550\n0.75 0.752715\nName: 6055, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5065045014916163, std values: 4.845120118379681, min values: 3.7417e-08, max values: 39.622, median values: 0.20024, and quantile values: 0.25 0.054558\n0.50 0.200240\n0.75 0.956195\nName: 6056, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.537412433381761, std values: 5.156491729881891, min values: 1.8331e-06, max values: 43.197, median values: 0.2343, and quantile values: 0.25 0.067335\n0.50 0.234300\n0.75 0.962505\nName: 6057, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4308883336496858, std values: 4.966629175196944, min values: 1.7791e-06, max values: 40.588, median values: 0.22192, and quantile values: 0.25 0.057113\n0.50 0.221920\n0.75 0.866710\nName: 6058, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5384897052691824, std values: 4.863619156748721, min values: 1.218e-06, max values: 38.373, median values: 0.22217, and quantile values: 0.25 0.062487\n0.50 0.222170\n0.75 0.989040\nName: 6059, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6322612108471695, std values: 5.150628809119047, min values: 1.3657e-06, max values: 42.857, median values: 0.2535, and quantile values: 0.25 0.078031\n0.50 0.253500\n0.75 1.072700\nName: 6060, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1677559258421069, std values: 4.61375061635253, min values: 4.4455e-08, max values: 37.456, median values: 0.12559, and quantile values: 0.25 0.033629\n0.50 0.125590\n0.75 0.549730\nName: 6061, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5171883019572328, std values: 5.0523872199728785, min values: 1.693e-06, max values: 42.122, median values: 0.25288, and quantile values: 0.25 0.075687\n0.50 0.252880\n0.75 0.852735\nName: 6062, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6228713025715094, std values: 4.807553208067913, min values: 1.7577e-07, max values: 37.478, median values: 0.265, and quantile values: 0.25 0.075401\n0.50 0.265000\n0.75 1.155800\nName: 6063, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.643750016846189, std values: 5.077442572019501, min values: 1.2682e-08, max values: 43.253, median values: 0.21431, and quantile values: 0.25 0.046443\n0.50 0.214310\n0.75 0.966240\nName: 6064, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4924152245893083, std values: 4.912329888490402, min values: 1.4504e-06, max values: 39.787, median values: 0.22782, and quantile values: 0.25 0.064721\n0.50 0.227820\n0.75 0.948640\nName: 6065, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2770000579238994, std values: 4.480430663099701, min values: 2.2382e-06, max values: 39.52, median values: 0.18238, and quantile values: 0.25 0.051975\n0.50 0.182380\n0.75 0.679575\nName: 6066, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5216542325622642, std values: 4.848505994347459, min values: 1.7271e-06, max values: 39.169, median values: 0.23721, and quantile values: 0.25 0.063261\n0.50 0.237210\n0.75 0.955585\nName: 6067, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4713853028345913, std values: 4.734705461709125, min values: 1.4488e-06, max values: 38.431, median values: 0.20808, and quantile values: 0.25 0.060037\n0.50 0.208080\n0.75 0.864245\nName: 6068, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3622357361806916, std values: 4.555706494907531, min values: 4.6215e-07, max values: 36.818, median values: 0.17609, and quantile values: 0.25 0.048692\n0.50 0.176090\n0.75 0.767990\nName: 6069, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6696254050988681, std values: 5.030360309854946, min values: 8.2642e-07, max values: 39.987, median values: 0.27619, and quantile values: 0.25 0.07432\n0.50 0.27619\n0.75 1.14100\nName: 6070, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.417933491274843, std values: 4.905279103506306, min values: 1.2775e-06, max values: 39.604, median values: 0.19771, and quantile values: 0.25 0.057994\n0.50 0.197710\n0.75 0.795400\nName: 6071, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.647494207637107, std values: 5.16654447507796, min values: 1.9895e-06, max values: 41.787, median values: 0.27144, and quantile values: 0.25 0.071295\n0.50 0.271440\n0.75 1.053700\nName: 6072, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7772335222383648, std values: 5.2028049173191215, min values: 3.9074e-06, max values: 40.232, median values: 0.29985, and quantile values: 0.25 0.092488\n0.50 0.299850\n0.75 1.125250\nName: 6073, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6571584812553457, std values: 5.014516704295768, min values: 1.5891e-06, max values: 39.073, median values: 0.29011, and quantile values: 0.25 0.082748\n0.50 0.290110\n0.75 1.085300\nName: 6074, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7234625458295598, std values: 5.068453979016915, min values: 4.4137e-06, max values: 40.728, median values: 0.29301, and quantile values: 0.25 0.073135\n0.50 0.293010\n0.75 1.121100\nName: 6075, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3561564502850945, std values: 4.684501688687158, min values: 4.5873e-07, max values: 37.362, median values: 0.18003, and quantile values: 0.25 0.05010\n0.50 0.18003\n0.75 0.77209\nName: 6076, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4642488395428304, std values: 4.905788329246267, min values: 2.3521e-07, max values: 40.245, median values: 0.20463, and quantile values: 0.25 0.051391\n0.50 0.204630\n0.75 0.890935\nName: 6077, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4080559469050316, std values: 4.873851972329377, min values: 4.867e-07, max values: 39.661, median values: 0.19339, and quantile values: 0.25 0.053682\n0.50 0.193390\n0.75 0.777160\nName: 6078, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6015155262603775, std values: 5.033815757629924, min values: 1.382e-06, max values: 40.634, median values: 0.23389, and quantile values: 0.25 0.070877\n0.50 0.233890\n0.75 1.094950\nName: 6079, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3194428284376103, std values: 4.853554518441694, min values: 9.0658e-07, max values: 39.519, median values: 0.15072, and quantile values: 0.25 0.048088\n0.50 0.150720\n0.75 0.686845\nName: 6080, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5702479276654089, std values: 5.027904480163744, min values: 1.436e-06, max values: 39.827, median values: 0.25112, and quantile values: 0.25 0.065207\n0.50 0.251120\n0.75 0.981545\nName: 6081, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.30340845379522, std values: 4.770611885683174, min values: 4.1014e-07, max values: 38.742, median values: 0.15266, and quantile values: 0.25 0.049850\n0.50 0.152660\n0.75 0.704845\nName: 6082, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.620182034327673, std values: 5.18275017299563, min values: 1.5193e-06, max values: 43.177, median values: 0.23277, and quantile values: 0.25 0.063517\n0.50 0.232770\n0.75 1.068150\nName: 6083, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4945133517743836, std values: 4.9244606581982024, min values: 3.2817e-08, max values: 41.258, median values: 0.22642, and quantile values: 0.25 0.054643\n0.50 0.226420\n0.75 0.904605\nName: 6084, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4498889460811322, std values: 5.149483664662818, min values: 1.5479e-06, max values: 44.122, median values: 0.19779, and quantile values: 0.25 0.064006\n0.50 0.197790\n0.75 0.834040\nName: 6085, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5016116091067295, std values: 4.96619975348449, min values: 8.4687e-07, max values: 40.548, median values: 0.23802, and quantile values: 0.25 0.062363\n0.50 0.238020\n0.75 0.915885\nName: 6086, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.537653280218239, std values: 4.98315703586414, min values: 3.5752e-06, max values: 39.937, median values: 0.22513, and quantile values: 0.25 0.068903\n0.50 0.225130\n0.75 0.917905\nName: 6087, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5119388359018868, std values: 5.143072803385123, min values: 1.8664e-06, max values: 43.353, median values: 0.22681, and quantile values: 0.25 0.062272\n0.50 0.226810\n0.75 0.872605\nName: 6088, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7564942313119496, std values: 5.206388335276976, min values: 4.6932e-06, max values: 40.5, median values: 0.286, and quantile values: 0.25 0.076998\n0.50 0.286000\n0.75 1.192300\nName: 6089, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.520260925090566, std values: 4.9962601837965455, min values: 1.3561e-06, max values: 39.85, median values: 0.20964, and quantile values: 0.25 0.059561\n0.50 0.209640\n0.75 0.976855\nName: 6090, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5602216056231446, std values: 4.850304240017256, min values: 8.3778e-07, max values: 38.201, median values: 0.26003, and quantile values: 0.25 0.067555\n0.50 0.260030\n0.75 1.048555\nName: 6091, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5709985426489939, std values: 4.799087809763044, min values: 6.3979e-07, max values: 37.673, median values: 0.26877, and quantile values: 0.25 0.065396\n0.50 0.268770\n0.75 1.073750\nName: 6092, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.495195767027673, std values: 4.981082169984936, min values: 2.7705e-06, max values: 39.571, median values: 0.23694, and quantile values: 0.25 0.064381\n0.50 0.236940\n0.75 0.884555\nName: 6093, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4901798797103774, std values: 5.077194822762725, min values: 5.7935e-07, max values: 43.295, median values: 0.19076, and quantile values: 0.25 0.060443\n0.50 0.190760\n0.75 0.851550\nName: 6094, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5111231068543396, std values: 4.8992234089717535, min values: 8.3014e-07, max values: 39.596, median values: 0.21942, and quantile values: 0.25 0.06088\n0.50 0.21942\n0.75 0.93168\nName: 6095, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5979496647050313, std values: 5.175254308752211, min values: 3.1618e-06, max values: 43.267, median values: 0.25019, and quantile values: 0.25 0.080295\n0.50 0.250190\n0.75 1.001250\nName: 6096, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3533886775479875, std values: 4.778010198901015, min values: 1.5279e-07, max values: 39.857, median values: 0.17937, and quantile values: 0.25 0.04594\n0.50 0.17937\n0.75 0.67794\nName: 6097, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4039660476855345, std values: 4.651169122328004, min values: 1.47e-06, max values: 38.83, median values: 0.20238, and quantile values: 0.25 0.052361\n0.50 0.202380\n0.75 0.817315\nName: 6098, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4358042234509434, std values: 4.744266306580687, min values: 2.4261e-06, max values: 40.027, median values: 0.22143, and quantile values: 0.25 0.066483\n0.50 0.221430\n0.75 0.842565\nName: 6099, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4912778021834843, std values: 4.898387829462296, min values: 2.6434e-08, max values: 41.087, median values: 0.20175, and quantile values: 0.25 0.047969\n0.50 0.201750\n0.75 0.849465\nName: 6100, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3209575017642137, std values: 4.649857185045209, min values: 2.6291e-07, max values: 37.232, median values: 0.21086, and quantile values: 0.25 0.060938\n0.50 0.210860\n0.75 0.779755\nName: 6101, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.653467993106918, std values: 5.282340994075469, min values: 2.239e-06, max values: 44.975, median values: 0.29663, and quantile values: 0.25 0.074218\n0.50 0.296630\n0.75 1.034300\nName: 6102, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5949456633981132, std values: 4.971001465002143, min values: 3.6197e-06, max values: 39.786, median values: 0.27037, and quantile values: 0.25 0.069111\n0.50 0.270370\n0.75 0.994530\nName: 6103, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2459584110691824, std values: 4.7481551033326115, min values: 1.4717e-06, max values: 39.244, median values: 0.1694, and quantile values: 0.25 0.053628\n0.50 0.169400\n0.75 0.697405\nName: 6104, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6242257330955976, std values: 5.084470947615932, min values: 3.0176e-06, max values: 40.066, median values: 0.28745, and quantile values: 0.25 0.073795\n0.50 0.287450\n0.75 1.035690\nName: 6105, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4839576694874212, std values: 5.088148159001181, min values: 1.06e-06, max values: 43.497, median values: 0.19442, and quantile values: 0.25 0.059998\n0.50 0.194420\n0.75 0.870685\nName: 6106, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3557428281484278, std values: 4.857605179321386, min values: 1.1238e-06, max values: 39.081, median values: 0.20418, and quantile values: 0.25 0.053491\n0.50 0.204180\n0.75 0.806070\nName: 6107, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6256418696125787, std values: 5.162183964379059, min values: 1.1946e-06, max values: 43.25, median values: 0.24876, and quantile values: 0.25 0.066370\n0.50 0.248760\n0.75 1.022005\nName: 6108, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.309817105470755, std values: 4.965664875048287, min values: 5.7745e-07, max values: 41.962, median values: 0.16161, and quantile values: 0.25 0.046787\n0.50 0.161610\n0.75 0.659800\nName: 6109, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2391561029337737, std values: 4.6859064125148695, min values: 7.1947e-07, max values: 37.842, median values: 0.18431, and quantile values: 0.25 0.047426\n0.50 0.184310\n0.75 0.624525\nName: 6110, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3447680145908176, std values: 4.539934079757362, min values: 9.4474e-07, max values: 36.945, median values: 0.18037, and quantile values: 0.25 0.050599\n0.50 0.180370\n0.75 0.795825\nName: 6111, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5090491307726415, std values: 4.6093770192949615, min values: 8.2385e-07, max values: 38.174, median values: 0.24748, and quantile values: 0.25 0.065971\n0.50 0.247480\n0.75 0.988135\nName: 6112, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5554427863754716, std values: 5.182589703225952, min values: 1.5648e-06, max values: 44.224, median values: 0.25013, and quantile values: 0.25 0.069777\n0.50 0.250130\n0.75 0.916050\nName: 6113, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.488173292371069, std values: 5.084275877157108, min values: 9.888e-07, max values: 43.079, median values: 0.22756, and quantile values: 0.25 0.055230\n0.50 0.227560\n0.75 0.859765\nName: 6114, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5417944561027042, std values: 4.831183331240279, min values: 1.8473e-07, max values: 38.737, median values: 0.25121, and quantile values: 0.25 0.058321\n0.50 0.251210\n0.75 0.998690\nName: 6115, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.326502233583019, std values: 4.761750355547339, min values: 1.2224e-06, max values: 38.884, median values: 0.16491, and quantile values: 0.25 0.056251\n0.50 0.164910\n0.75 0.739670\nName: 6116, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5361534152050311, std values: 4.918196372360571, min values: 1.2064e-06, max values: 39.061, median values: 0.24613, and quantile values: 0.25 0.069116\n0.50 0.246130\n0.75 0.895465\nName: 6117, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4874889878402515, std values: 4.8191042775429995, min values: 1.6101e-06, max values: 38.964, median values: 0.2283, and quantile values: 0.25 0.063889\n0.50 0.228300\n0.75 0.961460\nName: 6118, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3816622192337422, std values: 4.838982179054583, min values: 2.2215e-08, max values: 40.233, median values: 0.18696, and quantile values: 0.25 0.041338\n0.50 0.186960\n0.75 0.742680\nName: 6119, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4472454793691827, std values: 4.879365887943589, min values: 1.7125e-06, max values: 38.729, median values: 0.23596, and quantile values: 0.25 0.066664\n0.50 0.235960\n0.75 0.861380\nName: 6120, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7052161759283018, std values: 5.19306252370332, min values: 2.5826e-06, max values: 42.204, median values: 0.28963, and quantile values: 0.25 0.078962\n0.50 0.289630\n0.75 1.128100\nName: 6121, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5750040171509432, std values: 4.940020914317532, min values: 3.3095e-06, max values: 40.697, median values: 0.26277, and quantile values: 0.25 0.075947\n0.50 0.262770\n0.75 0.917035\nName: 6122, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3699057904773584, std values: 5.03585234723626, min values: 1.6811e-06, max values: 42.374, median values: 0.18395, and quantile values: 0.25 0.059053\n0.50 0.183950\n0.75 0.736500\nName: 6123, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2099556706037042, std values: 4.665444644875427, min values: 1.6989e-08, max values: 38.164, median values: 0.12896, and quantile values: 0.25 0.037745\n0.50 0.128960\n0.75 0.686875\nName: 6124, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7232951662842764, std values: 5.096849920895439, min values: 2.2391e-06, max values: 39.921, median values: 0.30132, and quantile values: 0.25 0.078095\n0.50 0.301320\n0.75 1.201800\nName: 6125, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5680603134634594, std values: 4.819331301599105, min values: 3.0539e-07, max values: 38.371, median values: 0.25417, and quantile values: 0.25 0.060534\n0.50 0.254170\n0.75 1.070150\nName: 6126, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3250985762527043, std values: 4.552526235454606, min values: 3.1131e-07, max values: 36.51, median values: 0.18401, and quantile values: 0.25 0.046058\n0.50 0.184010\n0.75 0.742300\nName: 6127, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4223245826069182, std values: 4.865121418077445, min values: 1.6092e-06, max values: 38.817, median values: 0.21679, and quantile values: 0.25 0.069028\n0.50 0.216790\n0.75 0.815555\nName: 6128, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3613181011832076, std values: 4.84026317277043, min values: 1.3526e-07, max values: 40.851, median values: 0.18951, and quantile values: 0.25 0.050076\n0.50 0.189510\n0.75 0.759200\nName: 6129, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5348895010845283, std values: 4.879000626183137, min values: 7.0274e-07, max values: 38.576, median values: 0.25048, and quantile values: 0.25 0.059781\n0.50 0.250480\n0.75 1.022145\nName: 6130, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4548333579952075, std values: 5.066277949314278, min values: 7.1738e-08, max values: 43.404, median values: 0.20176, and quantile values: 0.25 0.050487\n0.50 0.201760\n0.75 0.880555\nName: 6131, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3120314459517861, std values: 4.644775817940011, min values: 4.2934e-08, max values: 36.84, median values: 0.15244, and quantile values: 0.25 0.050392\n0.50 0.152440\n0.75 0.733175\nName: 6132, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5594408707066665, std values: 4.797356066128633, min values: 4.7086e-07, max values: 37.381, median values: 0.25893, and quantile values: 0.25 0.062574\n0.50 0.258930\n0.75 1.072850\nName: 6133, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6182030454550942, std values: 5.012211782883855, min values: 8.1286e-07, max values: 40.727, median values: 0.24788, and quantile values: 0.25 0.067846\n0.50 0.247880\n0.75 1.070185\nName: 6134, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4530991409452831, std values: 4.8106067992930015, min values: 2.3922e-06, max values: 39.303, median values: 0.23406, and quantile values: 0.25 0.06230\n0.50 0.23406\n0.75 0.90471\nName: 6135, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4605138061383647, std values: 5.033413973239928, min values: 4.8424e-06, max values: 40.417, median values: 0.22519, and quantile values: 0.25 0.091723\n0.50 0.225190\n0.75 0.770305\nName: 6136, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4368162519616983, std values: 4.9422658349867765, min values: 3.9421e-07, max values: 40.793, median values: 0.18569, and quantile values: 0.25 0.055555\n0.50 0.185690\n0.75 0.756350\nName: 6137, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.907140688674214, std values: 5.309560480151306, min values: 6.0062e-06, max values: 40.784, median values: 0.35001, and quantile values: 0.25 0.098467\n0.50 0.350010\n0.75 1.282500\nName: 6138, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.573071633979874, std values: 4.982589794226581, min values: 2.1387e-06, max values: 39.502, median values: 0.24631, and quantile values: 0.25 0.070153\n0.50 0.246310\n0.75 1.012470\nName: 6139, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.357890413026918, std values: 4.6177266424964385, min values: 4.4028e-07, max values: 37.325, median values: 0.20434, and quantile values: 0.25 0.057409\n0.50 0.204340\n0.75 0.778925\nName: 6140, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5313070644698112, std values: 5.17776552158533, min values: 2.4118e-06, max values: 43.963, median values: 0.21667, and quantile values: 0.25 0.065516\n0.50 0.216670\n0.75 0.885365\nName: 6141, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3585391091232701, std values: 4.809278143524106, min values: 3.148e-07, max values: 38.984, median values: 0.15952, and quantile values: 0.25 0.04782\n0.50 0.15952\n0.75 0.74873\nName: 6142, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4126223381563523, std values: 4.894521822992697, min values: 6.9416e-07, max values: 39.99, median values: 0.18515, and quantile values: 0.25 0.058443\n0.50 0.185150\n0.75 0.801725\nName: 6143, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.497754301162264, std values: 4.979828995836973, min values: 1.8503e-06, max values: 40.745, median values: 0.25769, and quantile values: 0.25 0.066413\n0.50 0.257690\n0.75 0.936065\nName: 6144, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7164910016295598, std values: 5.025224531600082, min values: 2.3757e-06, max values: 39.053, median values: 0.28635, and quantile values: 0.25 0.085282\n0.50 0.286350\n0.75 1.121850\nName: 6145, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4389341918371068, std values: 4.968496241925053, min values: 2.3771e-06, max values: 40.148, median values: 0.18239, and quantile values: 0.25 0.060522\n0.50 0.182390\n0.75 0.827475\nName: 6146, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4831186235056604, std values: 5.008740949437778, min values: 1.3311e-06, max values: 41.761, median values: 0.2393, and quantile values: 0.25 0.064256\n0.50 0.239300\n0.75 0.876990\nName: 6147, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5634497415449684, std values: 4.933142140961307, min values: 5.1918e-07, max values: 40.767, median values: 0.23148, and quantile values: 0.25 0.057932\n0.50 0.231480\n0.75 0.911295\nName: 6148, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.284067998653459, std values: 5.095659231967831, min values: 1.9227e-06, max values: 42.764, median values: 0.16894, and quantile values: 0.25 0.044772\n0.50 0.168940\n0.75 0.640215\nName: 6149, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6339167899744655, std values: 5.203618467897865, min values: 9.2454e-07, max values: 44.666, median values: 0.26389, and quantile values: 0.25 0.068337\n0.50 0.263890\n0.75 1.028420\nName: 6150, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3110609134421385, std values: 4.731975441024308, min values: 1.187e-06, max values: 38.894, median values: 0.19617, and quantile values: 0.25 0.051443\n0.50 0.196170\n0.75 0.723610\nName: 6151, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.512861571844088, std values: 4.957072858872737, min values: 3.7241e-07, max values: 40.531, median values: 0.21663, and quantile values: 0.25 0.053818\n0.50 0.216630\n0.75 0.977825\nName: 6152, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.356080325751654, std values: 4.8412545942266805, min values: 2.6853e-08, max values: 41.316, median values: 0.19729, and quantile values: 0.25 0.041458\n0.50 0.197290\n0.75 0.721210\nName: 6153, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2353292753469813, std values: 4.998228275416889, min values: 6.4447e-07, max values: 43.895, median values: 0.14023, and quantile values: 0.25 0.039976\n0.50 0.140230\n0.75 0.599155\nName: 6154, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.342184258931824, std values: 4.930345102359657, min values: 7.0386e-07, max values: 40.422, median values: 0.15764, and quantile values: 0.25 0.049619\n0.50 0.157640\n0.75 0.792750\nName: 6155, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4434289155792452, std values: 4.7405964394903455, min values: 1.211e-07, max values: 38.164, median values: 0.20841, and quantile values: 0.25 0.055488\n0.50 0.208410\n0.75 0.915375\nName: 6156, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5586930217811321, std values: 4.82655426008503, min values: 3.9725e-06, max values: 39.555, median values: 0.25494, and quantile values: 0.25 0.071877\n0.50 0.254940\n0.75 0.982510\nName: 6157, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5295392344792453, std values: 4.9467557721010325, min values: 2.1271e-06, max values: 39.436, median values: 0.25869, and quantile values: 0.25 0.067806\n0.50 0.258690\n0.75 0.963905\nName: 6158, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5981613717079246, std values: 4.97910532525786, min values: 5.0416e-07, max values: 40.176, median values: 0.23745, and quantile values: 0.25 0.059893\n0.50 0.237450\n0.75 0.988115\nName: 6159, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5233927864842138, std values: 4.982213157914858, min values: 6.3479e-07, max values: 41.117, median values: 0.21918, and quantile values: 0.25 0.061140\n0.50 0.219180\n0.75 0.943685\nName: 6160, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4794430167974844, std values: 5.284077648408965, min values: 1.0068e-06, max values: 46.872, median values: 0.20791, and quantile values: 0.25 0.060081\n0.50 0.207910\n0.75 0.878530\nName: 6161, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.66834435476, std values: 5.09808051405918, min values: 5.7314e-07, max values: 42.114, median values: 0.27481, and quantile values: 0.25 0.076525\n0.50 0.274810\n0.75 1.110450\nName: 6162, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.665313583408805, std values: 5.123537935264419, min values: 3.7497e-06, max values: 40.532, median values: 0.27417, and quantile values: 0.25 0.084358\n0.50 0.274170\n0.75 1.047700\nName: 6163, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4272657001943396, std values: 4.956738007864231, min values: 1.4696e-06, max values: 40.534, median values: 0.20284, and quantile values: 0.25 0.058641\n0.50 0.202840\n0.75 0.870290\nName: 6164, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.596572103125786, std values: 4.905893427637304, min values: 3.5019e-06, max values: 39.351, median values: 0.26055, and quantile values: 0.25 0.073979\n0.50 0.260550\n0.75 1.005055\nName: 6165, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.36352754084, std values: 4.885036245622597, min values: 8.686e-08, max values: 40.796, median values: 0.16832, and quantile values: 0.25 0.046134\n0.50 0.168320\n0.75 0.790645\nName: 6166, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8131123089962262, std values: 5.298137907205497, min values: 2.1076e-06, max values: 43.401, median values: 0.31211, and quantile values: 0.25 0.08059\n0.50 0.31211\n0.75 1.32010\nName: 6167, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.416022047762893, std values: 4.874076925387215, min values: 1.6473e-06, max values: 39.636, median values: 0.204, and quantile values: 0.25 0.061933\n0.50 0.204000\n0.75 0.832170\nName: 6168, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7845829229874213, std values: 5.572246031493496, min values: 3.8775e-06, max values: 46.86, median values: 0.27942, and quantile values: 0.25 0.077547\n0.50 0.279420\n0.75 1.079700\nName: 6169, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4343357721371068, std values: 4.85862863205419, min values: 2.1937e-06, max values: 40.01, median values: 0.23617, and quantile values: 0.25 0.062442\n0.50 0.236170\n0.75 0.862740\nName: 6170, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5263087135549687, std values: 5.131328927444821, min values: 8.8284e-07, max values: 43.792, median values: 0.23257, and quantile values: 0.25 0.066262\n0.50 0.232570\n0.75 0.896475\nName: 6171, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4653072093716981, std values: 4.896250625256875, min values: 8.929e-07, max values: 39.649, median values: 0.19147, and quantile values: 0.25 0.060237\n0.50 0.191470\n0.75 0.860265\nName: 6172, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7240512199748426, std values: 4.897971781630138, min values: 1.3062e-06, max values: 38.221, median values: 0.29358, and quantile values: 0.25 0.080004\n0.50 0.293580\n0.75 1.253100\nName: 6173, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6395605158691824, std values: 4.993066677016212, min values: 3.2684e-06, max values: 40.311, median values: 0.25589, and quantile values: 0.25 0.07331\n0.50 0.25589\n0.75 1.11345\nName: 6174, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3601144602301887, std values: 4.719621047361972, min values: 1.321e-06, max values: 38.937, median values: 0.19615, and quantile values: 0.25 0.060151\n0.50 0.196150\n0.75 0.818755\nName: 6175, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5522478339119496, std values: 5.1692504595438376, min values: 2.5387e-06, max values: 43.411, median values: 0.23174, and quantile values: 0.25 0.066609\n0.50 0.231740\n0.75 0.912660\nName: 6176, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.76083826328283, std values: 5.096366607544707, min values: 3.4227e-07, max values: 41.006, median values: 0.32133, and quantile values: 0.25 0.069626\n0.50 0.321330\n0.75 1.173300\nName: 6177, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.566978393915849, std values: 5.062569714908454, min values: 4.5832e-07, max values: 41.892, median values: 0.23332, and quantile values: 0.25 0.060395\n0.50 0.233320\n0.75 1.009700\nName: 6178, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3816024213691822, std values: 4.896937696296193, min values: 1.0721e-06, max values: 40.39, median values: 0.1671, and quantile values: 0.25 0.043765\n0.50 0.167100\n0.75 0.711535\nName: 6179, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5104922320898113, std values: 4.8434960040586645, min values: 7.4068e-07, max values: 38.233, median values: 0.23901, and quantile values: 0.25 0.060708\n0.50 0.239010\n0.75 0.963670\nName: 6180, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.391714788269811, std values: 4.884685622127577, min values: 2.2196e-06, max values: 40.768, median values: 0.21861, and quantile values: 0.25 0.054682\n0.50 0.218610\n0.75 0.803620\nName: 6181, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.351758658243157, std values: 4.772520077762059, min values: 1.6622e-08, max values: 39.887, median values: 0.16619, and quantile values: 0.25 0.039111\n0.50 0.166190\n0.75 0.679305\nName: 6182, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5497044160491196, std values: 5.395155451260042, min values: 2.8311e-07, max values: 48.81, median values: 0.22709, and quantile values: 0.25 0.059124\n0.50 0.227090\n0.75 0.881995\nName: 6183, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5300715248559749, std values: 4.980051787899326, min values: 1.7566e-06, max values: 39.856, median values: 0.24492, and quantile values: 0.25 0.070441\n0.50 0.244920\n0.75 0.938720\nName: 6184, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4808597104905659, std values: 4.874779185776884, min values: 1.086e-06, max values: 39.616, median values: 0.2095, and quantile values: 0.25 0.054391\n0.50 0.209500\n0.75 0.922420\nName: 6185, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4245547732130188, std values: 4.917810818457928, min values: 6.259e-07, max values: 40.766, median values: 0.16932, and quantile values: 0.25 0.050846\n0.50 0.169320\n0.75 0.813680\nName: 6186, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6860611998943396, std values: 5.311033133003936, min values: 1.9779e-06, max values: 45.605, median values: 0.26726, and quantile values: 0.25 0.072783\n0.50 0.267260\n0.75 1.132500\nName: 6187, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4946659262274213, std values: 4.822413073680055, min values: 2.4396e-07, max values: 38.27, median values: 0.23222, and quantile values: 0.25 0.057138\n0.50 0.232220\n0.75 0.919710\nName: 6188, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5033845906773582, std values: 5.036245906450822, min values: 2.2717e-06, max values: 40.602, median values: 0.23915, and quantile values: 0.25 0.066440\n0.50 0.239150\n0.75 0.927245\nName: 6189, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6174566705333333, std values: 5.051884075650908, min values: 2.5838e-06, max values: 40.5, median values: 0.29887, and quantile values: 0.25 0.070681\n0.50 0.298870\n0.75 1.074050\nName: 6190, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.580078243643981, std values: 5.039361881704503, min values: 2.7493e-08, max values: 42.508, median values: 0.25088, and quantile values: 0.25 0.061965\n0.50 0.250880\n0.75 1.056850\nName: 6191, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.57392396843522, std values: 5.351733106548187, min values: 5.0418e-06, max values: 45.307, median values: 0.26641, and quantile values: 0.25 0.078428\n0.50 0.266410\n0.75 0.900750\nName: 6192, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5957918349584905, std values: 5.1033699130410675, min values: 1.5129e-06, max values: 42.939, median values: 0.26302, and quantile values: 0.25 0.076513\n0.50 0.263020\n0.75 1.050730\nName: 6193, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3660192304984276, std values: 4.880412954920864, min values: 6.7965e-07, max values: 39.301, median values: 0.20164, and quantile values: 0.25 0.053845\n0.50 0.201640\n0.75 0.736325\nName: 6194, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3321830784392137, std values: 4.652074148738883, min values: 3.3855e-08, max values: 36.876, median values: 0.15529, and quantile values: 0.25 0.041605\n0.50 0.155290\n0.75 0.740925\nName: 6195, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5390211614943394, std values: 5.331502403189441, min values: 4.8637e-06, max values: 44.658, median values: 0.21467, and quantile values: 0.25 0.064287\n0.50 0.214670\n0.75 0.789250\nName: 6196, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.551726371619497, std values: 5.251260352023658, min values: 1.317e-06, max values: 45.547, median values: 0.25066, and quantile values: 0.25 0.071162\n0.50 0.250660\n0.75 0.865740\nName: 6197, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.739494477163522, std values: 5.20361427274316, min values: 4.8543e-06, max values: 40.802, median values: 0.30554, and quantile values: 0.25 0.087706\n0.50 0.305540\n0.75 1.132050\nName: 6198, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4219316668578617, std values: 4.893776893508359, min values: 1.5909e-06, max values: 39.04, median values: 0.19183, and quantile values: 0.25 0.064327\n0.50 0.191830\n0.75 0.774070\nName: 6199, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4227695844106916, std values: 4.746120316316638, min values: 3.8859e-06, max values: 40.07, median values: 0.22571, and quantile values: 0.25 0.069536\n0.50 0.225710\n0.75 0.849585\nName: 6200, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6328964602723897, std values: 5.012383615803815, min values: 3.3101e-07, max values: 40.39, median values: 0.26186, and quantile values: 0.25 0.069402\n0.50 0.261860\n0.75 1.127450\nName: 6201, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3862931965383019, std values: 4.77624222124714, min values: 6.7489e-07, max values: 38.666, median values: 0.20216, and quantile values: 0.25 0.052547\n0.50 0.202160\n0.75 0.836245\nName: 6202, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4644141937442765, std values: 4.911225513405159, min values: 2.509e-08, max values: 40.58, median values: 0.20154, and quantile values: 0.25 0.05081\n0.50 0.20154\n0.75 0.81490\nName: 6203, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5457727060012578, std values: 5.061482458648526, min values: 1.7483e-06, max values: 41.12, median values: 0.2414, and quantile values: 0.25 0.069803\n0.50 0.241400\n0.75 0.932405\nName: 6204, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5559685422924527, std values: 5.1485700234822085, min values: 3.5464e-06, max values: 41.479, median values: 0.24336, and quantile values: 0.25 0.069076\n0.50 0.243360\n0.75 0.919285\nName: 6205, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5720106270849055, std values: 4.955618734203684, min values: 2.4929e-06, max values: 38.928, median values: 0.24199, and quantile values: 0.25 0.064930\n0.50 0.241990\n0.75 1.012805\nName: 6206, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.357038381372327, std values: 4.793455437079866, min values: 2.8109e-06, max values: 39.974, median values: 0.17742, and quantile values: 0.25 0.055463\n0.50 0.177420\n0.75 0.722900\nName: 6207, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6022874657766037, std values: 4.976450515422865, min values: 6.6338e-07, max values: 39.95, median values: 0.26885, and quantile values: 0.25 0.066748\n0.50 0.268850\n0.75 1.022550\nName: 6208, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3101519165441509, std values: 4.627835440364033, min values: 6.8612e-07, max values: 37.504, median values: 0.181, and quantile values: 0.25 0.060145\n0.50 0.181000\n0.75 0.733935\nName: 6209, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3187636192146541, std values: 4.725103985112584, min values: 4.1283e-07, max values: 37.925, median values: 0.19529, and quantile values: 0.25 0.05632\n0.50 0.19529\n0.75 0.74923\nName: 6210, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7794905908088052, std values: 4.910759776945061, min values: 2.4714e-06, max values: 38.605, median values: 0.34468, and quantile values: 0.25 0.099637\n0.50 0.344680\n0.75 1.313050\nName: 6211, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5138584128908177, std values: 4.989694960321001, min values: 2.1714e-07, max values: 42.172, median values: 0.2107, and quantile values: 0.25 0.051896\n0.50 0.210700\n0.75 0.895015\nName: 6212, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7055710897100627, std values: 5.087737392464916, min values: 3.4979e-06, max values: 39.502, median values: 0.28492, and quantile values: 0.25 0.082724\n0.50 0.284920\n0.75 1.127900\nName: 6213, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4777291940352202, std values: 4.824381224991593, min values: 2.1836e-06, max values: 39.205, median values: 0.21267, and quantile values: 0.25 0.064016\n0.50 0.212670\n0.75 0.924360\nName: 6214, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4762746303427674, std values: 5.002027547659137, min values: 1.8855e-06, max values: 40.246, median values: 0.22837, and quantile values: 0.25 0.060469\n0.50 0.228370\n0.75 0.905815\nName: 6215, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5006277685660379, std values: 4.841489912309174, min values: 4.2851e-06, max values: 39.012, median values: 0.23405, and quantile values: 0.25 0.072721\n0.50 0.234050\n0.75 0.847930\nName: 6216, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4794252344540881, std values: 5.042923314901613, min values: 1.4059e-06, max values: 42.001, median values: 0.24453, and quantile values: 0.25 0.064883\n0.50 0.244530\n0.75 0.848070\nName: 6217, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.537743693036478, std values: 5.346286675492395, min values: 2.3461e-06, max values: 46.03, median values: 0.23049, and quantile values: 0.25 0.061524\n0.50 0.230490\n0.75 0.870820\nName: 6218, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3867341467685537, std values: 4.8937277418526755, min values: 1.1374e-06, max values: 39.432, median values: 0.18755, and quantile values: 0.25 0.054420\n0.50 0.187550\n0.75 0.807525\nName: 6219, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.384680524544717, std values: 4.724985086318688, min values: 7.5101e-07, max values: 37.554, median values: 0.20843, and quantile values: 0.25 0.063259\n0.50 0.208430\n0.75 0.860720\nName: 6220, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6338986751479243, std values: 5.849130163433031, min values: 1.4432e-07, max values: 57.266, median values: 0.23038, and quantile values: 0.25 0.060986\n0.50 0.230380\n0.75 0.978050\nName: 6221, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7506185644893082, std values: 5.370935723437688, min values: 2.13e-06, max values: 45.116, median values: 0.27788, and quantile values: 0.25 0.078185\n0.50 0.277880\n0.75 1.177900\nName: 6222, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.62197798566478, std values: 4.883126004530148, min values: 1.1777e-06, max values: 37.789, median values: 0.2703, and quantile values: 0.25 0.069838\n0.50 0.270300\n0.75 1.075350\nName: 6223, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.420874079178805, std values: 4.818099222014426, min values: 8.2723e-07, max values: 38.726, median values: 0.21108, and quantile values: 0.25 0.063077\n0.50 0.211080\n0.75 0.812245\nName: 6224, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7094688866930818, std values: 4.9632203887706545, min values: 2.8805e-06, max values: 39.524, median values: 0.2876, and quantile values: 0.25 0.086057\n0.50 0.287600\n0.75 1.229900\nName: 6225, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.584018028697484, std values: 5.166054327915543, min values: 3.5411e-06, max values: 41.096, median values: 0.2381, and quantile values: 0.25 0.072380\n0.50 0.238100\n0.75 0.971325\nName: 6226, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7031211018018868, std values: 4.9764618899131445, min values: 4.2217e-06, max values: 39.082, median values: 0.3118, and quantile values: 0.25 0.089183\n0.50 0.311800\n0.75 1.129150\nName: 6227, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.303632990879245, std values: 5.180155119545977, min values: 1.5513e-06, max values: 45.315, median values: 0.14436, and quantile values: 0.25 0.042366\n0.50 0.144360\n0.75 0.602620\nName: 6228, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7331035349710697, std values: 5.003701112450546, min values: 1.0203e-06, max values: 38.798, median values: 0.28264, and quantile values: 0.25 0.083225\n0.50 0.282640\n0.75 1.251850\nName: 6229, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3665703426968554, std values: 4.739855352369607, min values: 1.0557e-06, max values: 37.68, median values: 0.20756, and quantile values: 0.25 0.060298\n0.50 0.207560\n0.75 0.886590\nName: 6230, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4345361387943396, std values: 4.785567420005808, min values: 1.5166e-06, max values: 37.953, median values: 0.23281, and quantile values: 0.25 0.06521\n0.50 0.23281\n0.75 0.87349\nName: 6231, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2112584796438994, std values: 4.62702926237781, min values: 3.5118e-07, max values: 37.255, median values: 0.13846, and quantile values: 0.25 0.045426\n0.50 0.138460\n0.75 0.617735\nName: 6232, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3381293009974213, std values: 4.813135956592145, min values: 2.3279e-07, max values: 40.073, median values: 0.1865, and quantile values: 0.25 0.050527\n0.50 0.186500\n0.75 0.727890\nName: 6233, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4145867897974214, std values: 4.757580519304975, min values: 1.1778e-07, max values: 38.618, median values: 0.19168, and quantile values: 0.25 0.047189\n0.50 0.191680\n0.75 0.827530\nName: 6234, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6549751419559748, std values: 5.243268889935361, min values: 3.2381e-06, max values: 43.392, median values: 0.26193, and quantile values: 0.25 0.077139\n0.50 0.261930\n0.75 1.060050\nName: 6235, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5840346661666667, std values: 5.060489403015729, min values: 6.259e-07, max values: 40.668, median values: 0.23337, and quantile values: 0.25 0.060555\n0.50 0.233370\n0.75 0.979465\nName: 6236, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5113849563949684, std values: 4.927426986649035, min values: 2.0252e-06, max values: 39.217, median values: 0.25317, and quantile values: 0.25 0.069492\n0.50 0.253170\n0.75 0.896585\nName: 6237, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3921447201220127, std values: 4.671699875050014, min values: 1.5413e-06, max values: 38.774, median values: 0.21946, and quantile values: 0.25 0.057659\n0.50 0.219460\n0.75 0.804205\nName: 6238, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4280565995201258, std values: 4.895166470715394, min values: 1.8222e-06, max values: 39.32, median values: 0.20821, and quantile values: 0.25 0.059921\n0.50 0.208210\n0.75 0.798965\nName: 6239, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3743593763581132, std values: 5.028835139693829, min values: 5.2214e-07, max values: 42.989, median values: 0.16355, and quantile values: 0.25 0.054410\n0.50 0.163550\n0.75 0.749015\nName: 6240, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4225438628033331, std values: 5.04722402279811, min values: 1.11e-07, max values: 43.779, median values: 0.19208, and quantile values: 0.25 0.047838\n0.50 0.192080\n0.75 0.770905\nName: 6241, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.429116216093082, std values: 4.975518640709052, min values: 1.3204e-06, max values: 40.891, median values: 0.2111, and quantile values: 0.25 0.058591\n0.50 0.211100\n0.75 0.811255\nName: 6242, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3485719949714463, std values: 4.839260665944306, min values: 6.3156e-07, max values: 38.882, median values: 0.19784, and quantile values: 0.25 0.049130\n0.50 0.197840\n0.75 0.741125\nName: 6243, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4048386343012578, std values: 4.711313801079348, min values: 2.0168e-06, max values: 39.224, median values: 0.19098, and quantile values: 0.25 0.057866\n0.50 0.190980\n0.75 0.885670\nName: 6244, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4802803686352202, std values: 4.83657341482115, min values: 4.2809e-06, max values: 40.528, median values: 0.22333, and quantile values: 0.25 0.069324\n0.50 0.223330\n0.75 0.870940\nName: 6245, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4784474210839622, std values: 4.699246789009906, min values: 7.9365e-07, max values: 38.061, median values: 0.21699, and quantile values: 0.25 0.065607\n0.50 0.216990\n0.75 0.965995\nName: 6246, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5590079019415095, std values: 4.925581456400321, min values: 1.4899e-06, max values: 38.823, median values: 0.2488, and quantile values: 0.25 0.069344\n0.50 0.248800\n0.75 0.975465\nName: 6247, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5137731016710692, std values: 4.897502661223323, min values: 2.2305e-06, max values: 39.466, median values: 0.26289, and quantile values: 0.25 0.066429\n0.50 0.262890\n0.75 0.961375\nName: 6248, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3236446515798743, std values: 4.87163046948011, min values: 2.9306e-06, max values: 40.69, median values: 0.16149, and quantile values: 0.25 0.052777\n0.50 0.161490\n0.75 0.609340\nName: 6249, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4796072499515722, std values: 5.038367167178749, min values: 2.5584e-06, max values: 40.398, median values: 0.22133, and quantile values: 0.25 0.064368\n0.50 0.221330\n0.75 0.852140\nName: 6250, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.444915482418742, std values: 4.72288829917207, min values: 1.2198e-07, max values: 37.172, median values: 0.20554, and quantile values: 0.25 0.054015\n0.50 0.205540\n0.75 0.889300\nName: 6251, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.322902517707547, std values: 4.807381259484864, min values: 2.9255e-06, max values: 40.365, median values: 0.19824, and quantile values: 0.25 0.051499\n0.50 0.198240\n0.75 0.658535\nName: 6252, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5746004170384906, std values: 5.065353573738818, min values: 4.5122e-07, max values: 42.694, median values: 0.22912, and quantile values: 0.25 0.063123\n0.50 0.229120\n0.75 1.020155\nName: 6253, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4955624214563963, std values: 4.824261100165008, min values: 2.5527e-08, max values: 39.177, median values: 0.23058, and quantile values: 0.25 0.054754\n0.50 0.230580\n0.75 0.934545\nName: 6254, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1247967133703773, std values: 4.404655421694483, min values: 5.7769e-07, max values: 38.212, median values: 0.11794, and quantile values: 0.25 0.043066\n0.50 0.117940\n0.75 0.565110\nName: 6255, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.659329707937107, std values: 5.317604520577778, min values: 3.8678e-06, max values: 44.452, median values: 0.248, and quantile values: 0.25 0.074313\n0.50 0.248000\n0.75 1.060225\nName: 6256, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5732497622339623, std values: 4.938857347866342, min values: 2.1747e-06, max values: 38.832, median values: 0.26962, and quantile values: 0.25 0.078103\n0.50 0.269620\n0.75 1.008380\nName: 6257, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5915892844786164, std values: 5.109738899293595, min values: 3.909e-06, max values: 40.737, median values: 0.22839, and quantile values: 0.25 0.073316\n0.50 0.228390\n0.75 0.869670\nName: 6258, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4887984217, std values: 4.921978688332736, min values: 6.952e-07, max values: 39.787, median values: 0.22969, and quantile values: 0.25 0.065018\n0.50 0.229690\n0.75 0.915335\nName: 6259, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3455200879761007, std values: 4.895615963950645, min values: 2.056e-06, max values: 40.296, median values: 0.18744, and quantile values: 0.25 0.05134\n0.50 0.18744\n0.75 0.73394\nName: 6260, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.27707329236478, std values: 4.793654667990777, min values: 1.2729e-06, max values: 39.137, median values: 0.17458, and quantile values: 0.25 0.049209\n0.50 0.174580\n0.75 0.702505\nName: 6261, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.678868344471069, std values: 5.280040091658653, min values: 2.4922e-06, max values: 44.264, median values: 0.27935, and quantile values: 0.25 0.07607\n0.50 0.27935\n0.75 1.12625\nName: 6262, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5822892319628932, std values: 5.005659898106585, min values: 1.7547e-06, max values: 40.349, median values: 0.25856, and quantile values: 0.25 0.076578\n0.50 0.258560\n0.75 1.012150\nName: 6263, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7645496467578614, std values: 5.228447173075578, min values: 4.6801e-06, max values: 40.708, median values: 0.32056, and quantile values: 0.25 0.086245\n0.50 0.320560\n0.75 1.158100\nName: 6264, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4126642331503774, std values: 4.861508458808125, min values: 2.2876e-07, max values: 40.308, median values: 0.20513, and quantile values: 0.25 0.049354\n0.50 0.205130\n0.75 0.835385\nName: 6265, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.696543775741258, std values: 5.130021885340245, min values: 1.6746e-07, max values: 43.447, median values: 0.2747, and quantile values: 0.25 0.06442\n0.50 0.27470\n0.75 1.15325\nName: 6266, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3507160120861637, std values: 4.776663288794583, min values: 1.5564e-06, max values: 39.029, median values: 0.19624, and quantile values: 0.25 0.059065\n0.50 0.196240\n0.75 0.773450\nName: 6267, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.424722895279245, std values: 4.893313290427971, min values: 3.3076e-06, max values: 39.205, median values: 0.21003, and quantile values: 0.25 0.068910\n0.50 0.210030\n0.75 0.830415\nName: 6268, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5755948025761004, std values: 5.076152428171628, min values: 2.2232e-06, max values: 40.291, median values: 0.24189, and quantile values: 0.25 0.076204\n0.50 0.241890\n0.75 0.982160\nName: 6269, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4274788820213835, std values: 4.889947834997526, min values: 8.331e-07, max values: 39.976, median values: 0.19624, and quantile values: 0.25 0.056277\n0.50 0.196240\n0.75 0.878575\nName: 6270, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5621268755932705, std values: 5.194113260955464, min values: 6.2813e-07, max values: 44.44, median values: 0.24132, and quantile values: 0.25 0.062288\n0.50 0.241320\n0.75 0.975385\nName: 6271, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3976264886601255, std values: 4.688204312146839, min values: 1.1096e-07, max values: 37.273, median values: 0.18973, and quantile values: 0.25 0.053808\n0.50 0.189730\n0.75 0.802090\nName: 6272, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5293682025509434, std values: 5.090059744844824, min values: 4.0367e-06, max values: 41.015, median values: 0.2245, and quantile values: 0.25 0.067770\n0.50 0.224500\n0.75 0.897055\nName: 6273, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4830792905139498, std values: 4.69722918854238, min values: 3.3808e-08, max values: 37.119, median values: 0.20904, and quantile values: 0.25 0.050381\n0.50 0.209040\n0.75 1.032300\nName: 6274, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.509131438893566, std values: 4.9442002449880595, min values: 1.8457e-08, max values: 41.823, median values: 0.21092, and quantile values: 0.25 0.053025\n0.50 0.210920\n0.75 0.854285\nName: 6275, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8216501695226412, std values: 5.3827778630738985, min values: 7.3691e-06, max values: 42.563, median values: 0.33895, and quantile values: 0.25 0.089065\n0.50 0.338950\n0.75 1.162400\nName: 6276, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4696669442138361, std values: 4.960999588466471, min values: 2.6079e-06, max values: 39.678, median values: 0.21278, and quantile values: 0.25 0.058747\n0.50 0.212780\n0.75 0.910385\nName: 6277, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4370748611846103, std values: 4.851047690150866, min values: 1.3693e-08, max values: 40.109, median values: 0.18463, and quantile values: 0.25 0.054897\n0.50 0.184630\n0.75 0.872490\nName: 6278, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4585777759427672, std values: 5.1522616150492695, min values: 1.4877e-06, max values: 43.264, median values: 0.22317, and quantile values: 0.25 0.056719\n0.50 0.223170\n0.75 0.904225\nName: 6279, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5846529889295597, std values: 5.195315885298398, min values: 1.2413e-06, max values: 44.836, median values: 0.23996, and quantile values: 0.25 0.070273\n0.50 0.239960\n0.75 1.022000\nName: 6280, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3026124490051572, std values: 4.904520697068166, min values: 3.4408e-07, max values: 41.984, median values: 0.16827, and quantile values: 0.25 0.044231\n0.50 0.168270\n0.75 0.653005\nName: 6281, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5990273977911948, std values: 5.20699009143934, min values: 2.7447e-06, max values: 43.361, median values: 0.22957, and quantile values: 0.25 0.075293\n0.50 0.229570\n0.75 1.016480\nName: 6282, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7421738417584902, std values: 5.190915987455325, min values: 1.0783e-06, max values: 42.577, median values: 0.31296, and quantile values: 0.25 0.078969\n0.50 0.312960\n0.75 1.225600\nName: 6283, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2011340043962262, std values: 4.82513307957444, min values: 1.7301e-06, max values: 40.189, median values: 0.15128, and quantile values: 0.25 0.039031\n0.50 0.151280\n0.75 0.591435\nName: 6284, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.445360709225283, std values: 4.959981217024591, min values: 2.7615e-07, max values: 42.43, median values: 0.1699, and quantile values: 0.25 0.046776\n0.50 0.169900\n0.75 0.780345\nName: 6285, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2583745639122013, std values: 4.576610483503289, min values: 1.4544e-07, max values: 37.094, median values: 0.16676, and quantile values: 0.25 0.044246\n0.50 0.166760\n0.75 0.660790\nName: 6286, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3535089481349054, std values: 4.655494630158495, min values: 7.5565e-07, max values: 38.382, median values: 0.16522, and quantile values: 0.25 0.053553\n0.50 0.165220\n0.75 0.743995\nName: 6287, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6446890035761004, std values: 5.000350810723544, min values: 1.2864e-06, max values: 39.049, median values: 0.27602, and quantile values: 0.25 0.076166\n0.50 0.276020\n0.75 1.188800\nName: 6288, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4997034048675282, std values: 5.184137212813755, min values: 1.9187e-08, max values: 46.276, median values: 0.19679, and quantile values: 0.25 0.054119\n0.50 0.196790\n0.75 0.942060\nName: 6289, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6902563552861636, std values: 5.088793392418606, min values: 0.0, max values: 40.507, median values: 0.30619, and quantile values: 0.25 0.076242\n0.50 0.306190\n0.75 1.057000\nName: 6290, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6433576995095662, std values: 5.072507521026938, min values: 2.4681e-08, max values: 42.377, median values: 0.22649, and quantile values: 0.25 0.060093\n0.50 0.226490\n0.75 1.194550\nName: 6291, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1997923022932704, std values: 4.578952669045989, min values: 4.4869e-07, max values: 36.777, median values: 0.14309, and quantile values: 0.25 0.044474\n0.50 0.143090\n0.75 0.590625\nName: 6292, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7150592086157235, std values: 5.149021861807502, min values: 4.415e-06, max values: 40.215, median values: 0.27019, and quantile values: 0.25 0.090877\n0.50 0.270190\n0.75 1.143100\nName: 6293, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3814855534344592, std values: 4.791644226802621, min values: 2.8879e-08, max values: 38.787, median values: 0.17069, and quantile values: 0.25 0.051164\n0.50 0.170690\n0.75 0.764835\nName: 6294, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4300965043557232, std values: 4.801110811646145, min values: 8.9946e-07, max values: 37.977, median values: 0.22414, and quantile values: 0.25 0.05688\n0.50 0.22414\n0.75 0.79239\nName: 6295, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3104211793220126, std values: 4.934936046734346, min values: 1.0298e-06, max values: 41.264, median values: 0.16761, and quantile values: 0.25 0.048652\n0.50 0.167610\n0.75 0.683660\nName: 6296, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5827534309314468, std values: 5.1504905391424805, min values: 1.1203e-06, max values: 43.831, median values: 0.27661, and quantile values: 0.25 0.070677\n0.50 0.276610\n0.75 0.965895\nName: 6297, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4778019166238996, std values: 4.830976848374645, min values: 2.4511e-06, max values: 39.948, median values: 0.21837, and quantile values: 0.25 0.071477\n0.50 0.218370\n0.75 0.829675\nName: 6298, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5813853464389935, std values: 4.9941902230538044, min values: 1.4285e-06, max values: 39.46, median values: 0.24893, and quantile values: 0.25 0.067559\n0.50 0.248930\n0.75 1.070950\nName: 6299, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6436390006452832, std values: 5.27552452656736, min values: 1.5363e-06, max values: 45.492, median values: 0.26476, and quantile values: 0.25 0.078531\n0.50 0.264760\n0.75 1.042050\nName: 6300, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7131760574967987, std values: 5.208969550505321, min values: 8.4091e-08, max values: 44.483, median values: 0.26242, and quantile values: 0.25 0.068548\n0.50 0.262420\n0.75 1.168850\nName: 6301, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5360998436345912, std values: 5.11591026100473, min values: 5.2569e-06, max values: 40.514, median values: 0.24834, and quantile values: 0.25 0.075705\n0.50 0.248340\n0.75 0.838810\nName: 6302, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3497515734025158, std values: 5.024765691055591, min values: 3.1147e-06, max values: 41.117, median values: 0.18401, and quantile values: 0.25 0.053912\n0.50 0.184010\n0.75 0.672130\nName: 6303, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4825941826650315, std values: 4.901169312908595, min values: 1.7868e-07, max values: 41.132, median values: 0.21202, and quantile values: 0.25 0.047629\n0.50 0.212020\n0.75 0.901725\nName: 6304, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7295049349847171, std values: 5.055281324359263, min values: 6.5877e-07, max values: 39.775, median values: 0.29118, and quantile values: 0.25 0.076564\n0.50 0.291180\n0.75 1.211450\nName: 6305, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4964979241477672, std values: 4.906057650898154, min values: 3.8795e-08, max values: 40.158, median values: 0.19997, and quantile values: 0.25 0.060148\n0.50 0.199970\n0.75 0.955160\nName: 6306, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.265689578050478, std values: 4.850078122290195, min values: 2.3446e-08, max values: 40.924, median values: 0.15584, and quantile values: 0.25 0.043668\n0.50 0.155840\n0.75 0.639805\nName: 6307, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4846087125137735, std values: 4.990313156771715, min values: 7.2619e-07, max values: 41.223, median values: 0.23244, and quantile values: 0.25 0.061711\n0.50 0.232440\n0.75 0.922970\nName: 6308, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4762965799232706, std values: 4.730434212643092, min values: 2.6844e-06, max values: 39.192, median values: 0.23126, and quantile values: 0.25 0.069875\n0.50 0.231260\n0.75 0.853595\nName: 6309, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.535482363652516, std values: 5.03402340839689, min values: 8.3185e-07, max values: 40.923, median values: 0.22507, and quantile values: 0.25 0.063626\n0.50 0.225070\n0.75 0.895165\nName: 6310, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4967072378998743, std values: 5.00466083420815, min values: 2.7213e-07, max values: 42.495, median values: 0.19367, and quantile values: 0.25 0.048558\n0.50 0.193670\n0.75 0.896280\nName: 6311, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3895262066157232, std values: 4.780914707094245, min values: 2.9448e-06, max values: 39.728, median values: 0.21344, and quantile values: 0.25 0.063837\n0.50 0.213440\n0.75 0.800215\nName: 6312, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6291121503622643, std values: 4.931937562112071, min values: 2.2848e-06, max values: 39.342, median values: 0.28261, and quantile values: 0.25 0.077698\n0.50 0.282610\n0.75 1.074050\nName: 6313, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4625680037025788, std values: 4.998294765825524, min values: 4.3561e-07, max values: 41.581, median values: 0.20456, and quantile values: 0.25 0.058184\n0.50 0.204560\n0.75 0.849520\nName: 6314, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3554994488144656, std values: 4.71085413565565, min values: 1.0868e-06, max values: 37.775, median values: 0.17673, and quantile values: 0.25 0.053746\n0.50 0.176730\n0.75 0.771475\nName: 6315, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3775266902602517, std values: 4.568518242124966, min values: 6.9268e-07, max values: 37.82, median values: 0.21969, and quantile values: 0.25 0.05562\n0.50 0.21969\n0.75 0.83050\nName: 6316, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7996581587358493, std values: 5.513256251914316, min values: 1.0324e-05, max values: 43.811, median values: 0.29627, and quantile values: 0.25 0.077573\n0.50 0.296270\n0.75 1.084750\nName: 6317, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8013006436396226, std values: 5.1355759051394, min values: 4.987e-06, max values: 39.084, median values: 0.33814, and quantile values: 0.25 0.090077\n0.50 0.338140\n0.75 1.194950\nName: 6318, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5574873588805034, std values: 5.1226979518875195, min values: 3.4464e-06, max values: 42.172, median values: 0.23747, and quantile values: 0.25 0.07704\n0.50 0.23747\n0.75 0.90260\nName: 6319, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8640927312421383, std values: 5.211934586654977, min values: 1.1186e-06, max values: 41.515, median values: 0.3187, and quantile values: 0.25 0.086918\n0.50 0.318700\n0.75 1.359350\nName: 6320, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.647817078933333, std values: 4.965581046303755, min values: 1.0346e-06, max values: 39.262, median values: 0.27125, and quantile values: 0.25 0.073766\n0.50 0.271250\n0.75 1.156350\nName: 6321, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5968632431710692, std values: 5.004811419548932, min values: 1.317e-06, max values: 39.439, median values: 0.29034, and quantile values: 0.25 0.068433\n0.50 0.290340\n0.75 1.016710\nName: 6322, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4829185440754717, std values: 4.995682317745442, min values: 1.0906e-06, max values: 41.478, median values: 0.22562, and quantile values: 0.25 0.061236\n0.50 0.225620\n0.75 0.829165\nName: 6323, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.40041442903283, std values: 4.71175901934779, min values: 9.9462e-07, max values: 37.418, median values: 0.19006, and quantile values: 0.25 0.053002\n0.50 0.190060\n0.75 0.779610\nName: 6324, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5018145210402516, std values: 4.858718747095402, min values: 1.5044e-06, max values: 38.231, median values: 0.22862, and quantile values: 0.25 0.071972\n0.50 0.228620\n0.75 0.929420\nName: 6325, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4506416502201258, std values: 4.942881837938439, min values: 1.6087e-06, max values: 39.983, median values: 0.22249, and quantile values: 0.25 0.058254\n0.50 0.222490\n0.75 0.870265\nName: 6326, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4651309946894973, std values: 4.781451400981154, min values: 7.3363e-07, max values: 38.057, median values: 0.23487, and quantile values: 0.25 0.062748\n0.50 0.234870\n0.75 0.820275\nName: 6327, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3962263691368553, std values: 4.715432372358557, min values: 7.4146e-07, max values: 37.724, median values: 0.21286, and quantile values: 0.25 0.06177\n0.50 0.21286\n0.75 0.79991\nName: 6328, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2866159987272325, std values: 4.805428364600023, min values: 3.1051e-07, max values: 39.9, median values: 0.15211, and quantile values: 0.25 0.034636\n0.50 0.152110\n0.75 0.677800\nName: 6329, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.713516966671069, std values: 5.364815912844464, min values: 2.4234e-06, max values: 45.755, median values: 0.28656, and quantile values: 0.25 0.078964\n0.50 0.286560\n0.75 1.176750\nName: 6330, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.355924107908805, std values: 4.9628156131372805, min values: 1.2078e-07, max values: 42.997, median values: 0.18291, and quantile values: 0.25 0.042629\n0.50 0.182910\n0.75 0.672765\nName: 6331, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6333025797301886, std values: 5.0553686226193255, min values: 3.6177e-06, max values: 40.39, median values: 0.25856, and quantile values: 0.25 0.068985\n0.50 0.258560\n0.75 1.038250\nName: 6332, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5998776698584907, std values: 5.025362209053635, min values: 5.411e-07, max values: 41.756, median values: 0.2563, and quantile values: 0.25 0.069845\n0.50 0.256300\n0.75 0.995800\nName: 6333, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3850074981080254, std values: 4.97065219590429, min values: 5.4056e-08, max values: 42.691, median values: 0.1655, and quantile values: 0.25 0.041983\n0.50 0.165500\n0.75 0.694345\nName: 6334, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4600781756559749, std values: 4.662939989412656, min values: 3.764e-06, max values: 40.252, median values: 0.23692, and quantile values: 0.25 0.066646\n0.50 0.236920\n0.75 0.866990\nName: 6335, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5424716781710692, std values: 5.141262851777877, min values: 2.6719e-06, max values: 42.133, median values: 0.21848, and quantile values: 0.25 0.061958\n0.50 0.218480\n0.75 0.943800\nName: 6336, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6615987303415096, std values: 5.310265285162966, min values: 1.7013e-06, max values: 45.028, median values: 0.25041, and quantile values: 0.25 0.06689\n0.50 0.25041\n0.75 1.03995\nName: 6337, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3739902949672957, std values: 4.914139130080426, min values: 3.5937e-06, max values: 41.062, median values: 0.16704, and quantile values: 0.25 0.057275\n0.50 0.167040\n0.75 0.696525\nName: 6338, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3056374285056604, std values: 4.762456841061473, min values: 1.2007e-06, max values: 38.265, median values: 0.20138, and quantile values: 0.25 0.062127\n0.50 0.201380\n0.75 0.690520\nName: 6339, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6641240893113207, std values: 5.222302826546155, min values: 2.7123e-06, max values: 43.06, median values: 0.27774, and quantile values: 0.25 0.071091\n0.50 0.277740\n0.75 1.060600\nName: 6340, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1096407353245281, std values: 4.586126631827514, min values: 1.1315e-06, max values: 37.491, median values: 0.12548, and quantile values: 0.25 0.038096\n0.50 0.125480\n0.75 0.463790\nName: 6341, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.299494369223522, std values: 4.739689883234811, min values: 1.8463e-07, max values: 38.554, median values: 0.16534, and quantile values: 0.25 0.048582\n0.50 0.165340\n0.75 0.674145\nName: 6342, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5513641475811324, std values: 5.179658824315541, min values: 5.4194e-06, max values: 42.517, median values: 0.19123, and quantile values: 0.25 0.068690\n0.50 0.191230\n0.75 0.798615\nName: 6343, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6378564744364779, std values: 5.05045892684852, min values: 1.7737e-06, max values: 39.676, median values: 0.24384, and quantile values: 0.25 0.060002\n0.50 0.243840\n0.75 1.028450\nName: 6344, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6045343169440252, std values: 5.474620690864163, min values: 2.1655e-06, max values: 49.727, median values: 0.26375, and quantile values: 0.25 0.069742\n0.50 0.263750\n0.75 0.939985\nName: 6345, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.523372006561258, std values: 4.955392746602931, min values: 5.4064e-07, max values: 40.591, median values: 0.25748, and quantile values: 0.25 0.067773\n0.50 0.257480\n0.75 0.950715\nName: 6346, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1781851075308174, std values: 5.068451673974913, min values: 1.5143e-07, max values: 45.527, median values: 0.097712, and quantile values: 0.25 0.021202\n0.50 0.097712\n0.75 0.481250\nName: 6347, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4515521171352201, std values: 4.9561279448089675, min values: 2.0344e-06, max values: 40.044, median values: 0.26124, and quantile values: 0.25 0.069134\n0.50 0.261240\n0.75 0.854485\nName: 6348, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3262576163554087, std values: 4.658482489850986, min values: 8.0071e-07, max values: 37.532, median values: 0.19848, and quantile values: 0.25 0.058904\n0.50 0.198480\n0.75 0.778505\nName: 6349, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8261349161408804, std values: 5.422015794640726, min values: 2.9742e-06, max values: 45.791, median values: 0.33629, and quantile values: 0.25 0.079116\n0.50 0.336290\n0.75 1.315300\nName: 6350, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2968337706345912, std values: 4.651276279096553, min values: 1.6274e-06, max values: 38.628, median values: 0.20055, and quantile values: 0.25 0.055956\n0.50 0.200550\n0.75 0.740225\nName: 6351, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4137705502679874, std values: 4.850894810994796, min values: 4.4551e-07, max values: 39.641, median values: 0.17068, and quantile values: 0.25 0.051031\n0.50 0.170680\n0.75 0.826070\nName: 6352, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6092441669452828, std values: 5.198923743761254, min values: 2.2131e-06, max values: 43.473, median values: 0.26149, and quantile values: 0.25 0.07295\n0.50 0.26149\n0.75 1.02945\nName: 6353, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5718609199433962, std values: 5.051702485488013, min values: 2.9924e-06, max values: 40.507, median values: 0.28274, and quantile values: 0.25 0.081443\n0.50 0.282740\n0.75 0.970830\nName: 6354, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3218894387356603, std values: 4.677748782754262, min values: 3.869e-08, max values: 37.316, median values: 0.20118, and quantile values: 0.25 0.055533\n0.50 0.201180\n0.75 0.716280\nName: 6355, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5029268068069181, std values: 4.9261075662824805, min values: 3.4541e-06, max values: 40.376, median values: 0.25277, and quantile values: 0.25 0.071424\n0.50 0.252770\n0.75 0.882805\nName: 6356, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.676375759785912, std values: 5.149890480238039, min values: 9.5666e-07, max values: 42.456, median values: 0.26329, and quantile values: 0.25 0.070712\n0.50 0.263290\n0.75 1.062300\nName: 6357, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7156999307025158, std values: 5.14422648313294, min values: 7.2071e-06, max values: 40.79, median values: 0.29685, and quantile values: 0.25 0.085073\n0.50 0.296850\n0.75 1.093300\nName: 6358, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3820555785885535, std values: 5.053677667490713, min values: 6.0628e-07, max values: 42.958, median values: 0.18412, and quantile values: 0.25 0.051528\n0.50 0.184120\n0.75 0.719585\nName: 6359, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8076297757477986, std values: 5.15227841336534, min values: 3.4715e-06, max values: 39.832, median values: 0.29813, and quantile values: 0.25 0.085704\n0.50 0.298130\n0.75 1.235550\nName: 6360, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4799889998333333, std values: 4.808667462290391, min values: 1.9785e-06, max values: 39.665, median values: 0.24425, and quantile values: 0.25 0.069420\n0.50 0.244250\n0.75 0.956295\nName: 6361, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.544399302189497, std values: 5.038772178739531, min values: 5.1843e-07, max values: 42.326, median values: 0.22045, and quantile values: 0.25 0.070715\n0.50 0.220450\n0.75 0.988055\nName: 6362, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.532221284301887, std values: 5.003516450555466, min values: 1.863e-06, max values: 39.914, median values: 0.23712, and quantile values: 0.25 0.06119\n0.50 0.23712\n0.75 0.94617\nName: 6363, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5399611657088053, std values: 4.913603484932753, min values: 2.5357e-06, max values: 40.036, median values: 0.24231, and quantile values: 0.25 0.066990\n0.50 0.242310\n0.75 0.997645\nName: 6364, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6005899025484278, std values: 5.141880836965178, min values: 2.0113e-06, max values: 42.342, median values: 0.24477, and quantile values: 0.25 0.070669\n0.50 0.244770\n0.75 1.005210\nName: 6365, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6886946899792452, std values: 4.941857816374265, min values: 6.9347e-06, max values: 40.484, median values: 0.30875, and quantile values: 0.25 0.077131\n0.50 0.308750\n0.75 1.053300\nName: 6366, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.423111124655975, std values: 4.914973944653114, min values: 3.709e-06, max values: 39.557, median values: 0.22549, and quantile values: 0.25 0.055483\n0.50 0.225490\n0.75 0.790270\nName: 6367, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.812623716564151, std values: 5.378422593457775, min values: 4.9441e-06, max values: 43.625, median values: 0.30436, and quantile values: 0.25 0.087179\n0.50 0.304360\n0.75 1.192750\nName: 6368, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5830972611251573, std values: 5.097020060801523, min values: 3.5225e-06, max values: 40.882, median values: 0.2273, and quantile values: 0.25 0.072927\n0.50 0.227300\n0.75 0.935960\nName: 6369, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3815643088739622, std values: 4.747928502337302, min values: 1.1676e-07, max values: 37.646, median values: 0.1754, and quantile values: 0.25 0.05038\n0.50 0.17540\n0.75 0.75435\nName: 6370, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.639502632409434, std values: 5.260130174653206, min values: 1.4618e-06, max values: 44.893, median values: 0.23207, and quantile values: 0.25 0.069891\n0.50 0.232070\n0.75 1.059400\nName: 6371, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3233744698672956, std values: 5.003176998455965, min values: 1.5044e-06, max values: 41.266, median values: 0.18137, and quantile values: 0.25 0.053749\n0.50 0.181370\n0.75 0.710955\nName: 6372, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4162700154705659, std values: 4.862736111867781, min values: 3.4572e-07, max values: 39.754, median values: 0.17287, and quantile values: 0.25 0.050382\n0.50 0.172870\n0.75 0.778050\nName: 6373, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4761701740690125, std values: 5.107594499402025, min values: 3.5283e-08, max values: 45.062, median values: 0.22532, and quantile values: 0.25 0.044387\n0.50 0.225320\n0.75 0.856625\nName: 6374, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4564306244584906, std values: 4.7549959332190985, min values: 2.4058e-06, max values: 40.009, median values: 0.21436, and quantile values: 0.25 0.058472\n0.50 0.214360\n0.75 0.900690\nName: 6375, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.407660967254088, std values: 4.94853022724551, min values: 2.4879e-06, max values: 40.13, median values: 0.20941, and quantile values: 0.25 0.062913\n0.50 0.209410\n0.75 0.822320\nName: 6376, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4758010354153457, std values: 4.892732077354392, min values: 5.2634e-07, max values: 39.707, median values: 0.20976, and quantile values: 0.25 0.05779\n0.50 0.20976\n0.75 0.87888\nName: 6377, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2062025636650313, std values: 4.514119429882572, min values: 1.518e-08, max values: 37.218, median values: 0.13173, and quantile values: 0.25 0.036373\n0.50 0.131730\n0.75 0.602430\nName: 6378, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.271344208613591, std values: 4.880394357068031, min values: 1.6191e-08, max values: 41.715, median values: 0.12662, and quantile values: 0.25 0.034696\n0.50 0.126620\n0.75 0.670575\nName: 6379, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6870025778349687, std values: 5.061436726691521, min values: 7.2536e-07, max values: 41.224, median values: 0.29939, and quantile values: 0.25 0.076249\n0.50 0.299390\n0.75 1.103500\nName: 6380, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5077681090069182, std values: 5.081606745259599, min values: 2.3127e-06, max values: 41.575, median values: 0.21813, and quantile values: 0.25 0.06890\n0.50 0.21813\n0.75 0.91168\nName: 6381, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7407615031163524, std values: 5.179978158018096, min values: 4.7624e-06, max values: 40.847, median values: 0.27463, and quantile values: 0.25 0.077779\n0.50 0.274630\n0.75 1.169650\nName: 6382, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6131852742392454, std values: 5.06722945336613, min values: 5.1704e-07, max values: 41.606, median values: 0.26959, and quantile values: 0.25 0.068057\n0.50 0.269590\n0.75 1.041350\nName: 6383, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.509628876871069, std values: 4.934649154041476, min values: 2.6138e-06, max values: 39.541, median values: 0.25778, and quantile values: 0.25 0.071074\n0.50 0.257780\n0.75 0.848750\nName: 6384, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5623758869974844, std values: 5.001196985437184, min values: 2.7595e-06, max values: 39.908, median values: 0.24641, and quantile values: 0.25 0.071620\n0.50 0.246410\n0.75 0.947525\nName: 6385, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.472666983754654, std values: 4.892406503169237, min values: 7.1469e-07, max values: 39.894, median values: 0.22874, and quantile values: 0.25 0.067042\n0.50 0.228740\n0.75 0.873330\nName: 6386, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3660997986407548, std values: 4.830902477061209, min values: 2.1794e-07, max values: 40.516, median values: 0.21097, and quantile values: 0.25 0.04659\n0.50 0.21097\n0.75 0.77655\nName: 6387, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4770019500005034, std values: 5.005757377308215, min values: 1.4688e-07, max values: 42.231, median values: 0.22772, and quantile values: 0.25 0.065198\n0.50 0.227720\n0.75 0.828050\nName: 6388, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5309520522081133, std values: 4.723846672144034, min values: 6.7469e-07, max values: 37.62, median values: 0.26118, and quantile values: 0.25 0.066212\n0.50 0.261180\n0.75 1.015030\nName: 6389, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3847037069962265, std values: 4.714434222207027, min values: 2.1353e-06, max values: 39.907, median values: 0.21778, and quantile values: 0.25 0.060006\n0.50 0.217780\n0.75 0.786645\nName: 6390, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.327077191361069, std values: 4.88716468613291, min values: 7.2121e-07, max values: 40.149, median values: 0.15781, and quantile values: 0.25 0.051052\n0.50 0.157810\n0.75 0.722995\nName: 6391, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7114902303584905, std values: 5.090679379613448, min values: 6.0837e-06, max values: 40.961, median values: 0.32552, and quantile values: 0.25 0.090409\n0.50 0.325520\n0.75 1.006975\nName: 6392, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.489986666335849, std values: 4.8516306486075695, min values: 1.0859e-06, max values: 39.407, median values: 0.24527, and quantile values: 0.25 0.072842\n0.50 0.245270\n0.75 0.878690\nName: 6393, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4547735541162892, std values: 4.942601450058624, min values: 7.702e-08, max values: 41.538, median values: 0.19032, and quantile values: 0.25 0.049603\n0.50 0.190320\n0.75 0.779865\nName: 6394, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5032596767592452, std values: 4.836315397029587, min values: 9.5062e-07, max values: 38.385, median values: 0.23924, and quantile values: 0.25 0.065749\n0.50 0.239240\n0.75 0.954915\nName: 6395, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3868781861084907, std values: 4.8866029024117354, min values: 6.8365e-07, max values: 40.14, median values: 0.17711, and quantile values: 0.25 0.051847\n0.50 0.177110\n0.75 0.812160\nName: 6396, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3850917532826414, std values: 4.595957647277761, min values: 2.1364e-07, max values: 36.8, median values: 0.19224, and quantile values: 0.25 0.042931\n0.50 0.192240\n0.75 0.774245\nName: 6397, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5378577130169815, std values: 5.003775867113272, min values: 2.0376e-06, max values: 39.767, median values: 0.24404, and quantile values: 0.25 0.066068\n0.50 0.244040\n0.75 0.966515\nName: 6398, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4648705146540881, std values: 5.066223096120257, min values: 3.4649e-06, max values: 41.106, median values: 0.22431, and quantile values: 0.25 0.063777\n0.50 0.224310\n0.75 0.867965\nName: 6399, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.39339534458478, std values: 4.7691706514356484, min values: 3.5111e-07, max values: 38.981, median values: 0.20959, and quantile values: 0.25 0.054068\n0.50 0.209590\n0.75 0.818800\nName: 6400, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.438226351945912, std values: 4.879644170641187, min values: 1.8767e-06, max values: 39.526, median values: 0.22209, and quantile values: 0.25 0.062480\n0.50 0.222090\n0.75 0.825635\nName: 6401, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.592461683472956, std values: 4.880235933760768, min values: 1.3439e-06, max values: 38.359, median values: 0.26688, and quantile values: 0.25 0.069597\n0.50 0.266880\n0.75 1.099600\nName: 6402, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4211443024037738, std values: 4.912966653364213, min values: 1.6854e-06, max values: 39.383, median values: 0.21828, and quantile values: 0.25 0.060924\n0.50 0.218280\n0.75 0.834405\nName: 6403, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4800641316036478, std values: 4.8189709325783525, min values: 3.1988e-07, max values: 38.123, median values: 0.22274, and quantile values: 0.25 0.061825\n0.50 0.222740\n0.75 0.951175\nName: 6404, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.360064764915975, std values: 4.787050906232877, min values: 4.1574e-07, max values: 38.186, median values: 0.17922, and quantile values: 0.25 0.047190\n0.50 0.179220\n0.75 0.778615\nName: 6405, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4259689701358491, std values: 4.750846765515487, min values: 1.8417e-06, max values: 39.302, median values: 0.23425, and quantile values: 0.25 0.067244\n0.50 0.234250\n0.75 0.840560\nName: 6406, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5626976439062894, std values: 4.9913736639940645, min values: 4.8305e-06, max values: 40.03, median values: 0.2617, and quantile values: 0.25 0.080613\n0.50 0.261700\n0.75 0.919785\nName: 6407, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.510784637408176, std values: 4.976158488436255, min values: 3.5383e-06, max values: 40.299, median values: 0.22714, and quantile values: 0.25 0.065658\n0.50 0.227140\n0.75 0.879505\nName: 6408, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5031790485891823, std values: 4.943983955392917, min values: 5.8808e-07, max values: 40.57, median values: 0.23277, and quantile values: 0.25 0.055910\n0.50 0.232770\n0.75 0.881255\nName: 6409, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5074811586209431, std values: 4.994642355686069, min values: 9.8303e-07, max values: 41.11, median values: 0.23669, and quantile values: 0.25 0.056084\n0.50 0.236690\n0.75 0.938595\nName: 6410, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5455964311138364, std values: 5.105080812337805, min values: 1.0604e-06, max values: 42.658, median values: 0.25067, and quantile values: 0.25 0.067598\n0.50 0.250670\n0.75 0.922955\nName: 6411, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6426431579515726, std values: 5.184847125191334, min values: 4.3418e-06, max values: 41.419, median values: 0.24803, and quantile values: 0.25 0.073157\n0.50 0.248030\n0.75 1.004585\nName: 6412, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3549045778123272, std values: 4.670365455230915, min values: 6.4056e-07, max values: 38.172, median values: 0.20889, and quantile values: 0.25 0.058083\n0.50 0.208890\n0.75 0.816240\nName: 6413, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1619122029549684, std values: 4.320638887064028, min values: 4.5954e-07, max values: 36.787, median values: 0.15937, and quantile values: 0.25 0.044638\n0.50 0.159370\n0.75 0.609880\nName: 6414, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7021771156773586, std values: 5.151121226727165, min values: 4.3612e-06, max values: 40.898, median values: 0.28202, and quantile values: 0.25 0.070658\n0.50 0.282020\n0.75 1.082990\nName: 6415, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3582399128814655, std values: 4.681670426239614, min values: 1.1909e-08, max values: 39.116, median values: 0.15068, and quantile values: 0.25 0.030789\n0.50 0.150680\n0.75 0.734055\nName: 6416, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3365563896528303, std values: 5.034019877351456, min values: 3.2323e-06, max values: 40.966, median values: 0.1695, and quantile values: 0.25 0.046562\n0.50 0.169500\n0.75 0.606755\nName: 6417, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.388909756535283, std values: 4.703296893296903, min values: 5.021e-08, max values: 37.24, median values: 0.20783, and quantile values: 0.25 0.055687\n0.50 0.207830\n0.75 0.824795\nName: 6418, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.429651418011824, std values: 4.969491040338342, min values: 4.6208e-07, max values: 42.813, median values: 0.20746, and quantile values: 0.25 0.054484\n0.50 0.207460\n0.75 0.859230\nName: 6419, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4833814540469117, std values: 4.68667434158382, min values: 3.5299e-08, max values: 36.794, median values: 0.20341, and quantile values: 0.25 0.051975\n0.50 0.203410\n0.75 0.927855\nName: 6420, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5919365014578615, std values: 4.915302631489515, min values: 1.0207e-06, max values: 39.38, median values: 0.24832, and quantile values: 0.25 0.070608\n0.50 0.248320\n0.75 1.000375\nName: 6421, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.637303869384906, std values: 4.9612639014758315, min values: 2.4199e-06, max values: 39.429, median values: 0.27542, and quantile values: 0.25 0.083762\n0.50 0.275420\n0.75 1.117300\nName: 6422, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5593487359577358, std values: 5.149210411547373, min values: 9.4638e-07, max values: 44.325, median values: 0.2338, and quantile values: 0.25 0.065225\n0.50 0.233800\n0.75 0.920945\nName: 6423, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3174607752283019, std values: 4.5129799710937135, min values: 2.1404e-06, max values: 39.35, median values: 0.19167, and quantile values: 0.25 0.067813\n0.50 0.191670\n0.75 0.722185\nName: 6424, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.47255417530044, std values: 5.134658063753974, min values: 4.8497e-07, max values: 45.073, median values: 0.18463, and quantile values: 0.25 0.051007\n0.50 0.184630\n0.75 0.816045\nName: 6425, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5492857446635222, std values: 4.901683216921663, min values: 1.4525e-06, max values: 38.807, median values: 0.28319, and quantile values: 0.25 0.065318\n0.50 0.283190\n0.75 0.956900\nName: 6426, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7029348684566037, std values: 5.098445996052632, min values: 3.8982e-06, max values: 39.672, median values: 0.2875, and quantile values: 0.25 0.08289\n0.50 0.28750\n0.75 1.07795\nName: 6427, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.697353959446541, std values: 5.092492556621857, min values: 2.9469e-06, max values: 39.687, median values: 0.27807, and quantile values: 0.25 0.072789\n0.50 0.278070\n0.75 1.070950\nName: 6428, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4032967799327045, std values: 4.800205059874021, min values: 1.4756e-06, max values: 38.849, median values: 0.1965, and quantile values: 0.25 0.057816\n0.50 0.196500\n0.75 0.868175\nName: 6429, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5415782644308176, std values: 4.912410371260636, min values: 1.6346e-06, max values: 38.813, median values: 0.24612, and quantile values: 0.25 0.071019\n0.50 0.246120\n0.75 1.010570\nName: 6430, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9216062092404402, std values: 5.3774508734865325, min values: 3.8123e-07, max values: 45.124, median values: 0.33549, and quantile values: 0.25 0.074435\n0.50 0.335490\n0.75 1.444300\nName: 6431, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.577221026938994, std values: 4.993814687650263, min values: 3.0793e-06, max values: 39.642, median values: 0.24865, and quantile values: 0.25 0.071897\n0.50 0.248650\n0.75 1.030250\nName: 6432, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4764635021111445, std values: 4.795952470519191, min values: 2.0962e-08, max values: 38.926, median values: 0.19436, and quantile values: 0.25 0.052125\n0.50 0.194360\n0.75 0.840095\nName: 6433, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5505446030207548, std values: 4.911128560731971, min values: 1.2168e-06, max values: 39.146, median values: 0.25079, and quantile values: 0.25 0.068932\n0.50 0.250790\n0.75 0.960345\nName: 6434, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5817697764679872, std values: 5.114868542162207, min values: 7.4521e-07, max values: 43.0, median values: 0.26476, and quantile values: 0.25 0.067983\n0.50 0.264760\n0.75 1.025850\nName: 6435, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4140494295939625, std values: 4.785506515159418, min values: 4.4804e-07, max values: 38.183, median values: 0.18447, and quantile values: 0.25 0.048633\n0.50 0.184470\n0.75 0.790370\nName: 6436, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2589956610083206, std values: 4.800496880033443, min values: 1.6483e-08, max values: 40.165, median values: 0.14448, and quantile values: 0.25 0.03674\n0.50 0.14448\n0.75 0.63593\nName: 6437, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.41392512555283, std values: 4.6669159155866655, min values: 1.9521e-06, max values: 39.716, median values: 0.22363, and quantile values: 0.25 0.061493\n0.50 0.223630\n0.75 0.832715\nName: 6438, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5118146144327045, std values: 4.9623448351989285, min values: 4.2558e-06, max values: 40.591, median values: 0.20904, and quantile values: 0.25 0.063184\n0.50 0.209040\n0.75 0.895880\nName: 6439, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3926890364273838, std values: 4.585898745805037, min values: 1.7592e-08, max values: 35.718, median values: 0.17755, and quantile values: 0.25 0.04289\n0.50 0.17755\n0.75 0.76074\nName: 6440, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3614929807322642, std values: 4.881422152302224, min values: 9.0723e-07, max values: 40.061, median values: 0.18975, and quantile values: 0.25 0.050292\n0.50 0.189750\n0.75 0.772750\nName: 6441, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.601979678589937, std values: 5.039063622140737, min values: 2.0542e-06, max values: 39.865, median values: 0.27088, and quantile values: 0.25 0.066749\n0.50 0.270880\n0.75 1.099850\nName: 6442, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5329471163320756, std values: 4.7708258352590995, min values: 1.6757e-06, max values: 38.817, median values: 0.26169, and quantile values: 0.25 0.074098\n0.50 0.261690\n0.75 1.003200\nName: 6443, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3796391523532703, std values: 4.949909267279517, min values: 6.1447e-07, max values: 41.087, median values: 0.1815, and quantile values: 0.25 0.054966\n0.50 0.181500\n0.75 0.774500\nName: 6444, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.38981381805283, std values: 5.226520166526139, min values: 1.2514e-06, max values: 45.499, median values: 0.1797, and quantile values: 0.25 0.050349\n0.50 0.179700\n0.75 0.760245\nName: 6445, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4508419186327042, std values: 4.888164707063653, min values: 1.8868e-06, max values: 39.524, median values: 0.23534, and quantile values: 0.25 0.06092\n0.50 0.23534\n0.75 0.88363\nName: 6446, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3420973599773587, std values: 4.777612691947562, min values: 1.7274e-06, max values: 39.202, median values: 0.1749, and quantile values: 0.25 0.054868\n0.50 0.174900\n0.75 0.740080\nName: 6447, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4650164411339623, std values: 4.783170113287827, min values: 3.559e-06, max values: 39.414, median values: 0.2165, and quantile values: 0.25 0.075741\n0.50 0.216500\n0.75 0.884230\nName: 6448, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4398404264644025, std values: 4.785535713636017, min values: 2.9134e-07, max values: 38.373, median values: 0.18866, and quantile values: 0.25 0.059336\n0.50 0.188660\n0.75 0.837640\nName: 6449, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6662997198723268, std values: 5.108838445587941, min values: 5.4324e-06, max values: 40.682, median values: 0.2883, and quantile values: 0.25 0.077419\n0.50 0.288300\n0.75 1.027655\nName: 6450, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3750926291477987, std values: 4.897077303806976, min values: 2.089e-06, max values: 39.609, median values: 0.19183, and quantile values: 0.25 0.052877\n0.50 0.191830\n0.75 0.815305\nName: 6451, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4223469377109432, std values: 4.8728896368255965, min values: 7.0014e-07, max values: 38.959, median values: 0.24691, and quantile values: 0.25 0.062865\n0.50 0.246910\n0.75 0.776605\nName: 6452, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6354895201056605, std values: 5.262975705581381, min values: 7.1058e-06, max values: 41.827, median values: 0.26165, and quantile values: 0.25 0.086494\n0.50 0.261650\n0.75 0.920500\nName: 6453, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4417712994515723, std values: 4.920299767212347, min values: 2.5184e-06, max values: 39.823, median values: 0.22671, and quantile values: 0.25 0.055963\n0.50 0.226710\n0.75 0.888755\nName: 6454, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4198435292514469, std values: 4.836184518343293, min values: 2.5068e-07, max values: 39.531, median values: 0.20538, and quantile values: 0.25 0.051012\n0.50 0.205380\n0.75 0.851615\nName: 6455, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4041564483836477, std values: 4.9492240360069575, min values: 1.5589e-06, max values: 40.989, median values: 0.21112, and quantile values: 0.25 0.062337\n0.50 0.211120\n0.75 0.840390\nName: 6456, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.734062630962893, std values: 5.6759044756196095, min values: 2.3758e-06, max values: 51.349, median values: 0.25413, and quantile values: 0.25 0.080087\n0.50 0.254130\n0.75 1.104200\nName: 6457, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4676741312855346, std values: 4.862053019032273, min values: 1.9518e-06, max values: 38.481, median values: 0.24187, and quantile values: 0.25 0.067964\n0.50 0.241870\n0.75 0.875650\nName: 6458, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.0904978192622643, std values: 5.595672035175483, min values: 5.2107e-06, max values: 43.946, median values: 0.37919, and quantile values: 0.25 0.097529\n0.50 0.379190\n0.75 1.506950\nName: 6459, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6011564274238363, std values: 4.9958765689577955, min values: 9.9889e-07, max values: 40.096, median values: 0.24134, and quantile values: 0.25 0.071009\n0.50 0.241340\n0.75 1.008945\nName: 6460, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3134293470550316, std values: 4.740617627396848, min values: 1.6315e-07, max values: 38.646, median values: 0.16239, and quantile values: 0.25 0.04676\n0.50 0.16239\n0.75 0.72488\nName: 6461, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6838337274189308, std values: 4.9947947033119595, min values: 3.3031e-07, max values: 39.709, median values: 0.28446, and quantile values: 0.25 0.068026\n0.50 0.284460\n0.75 1.138400\nName: 6462, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3660736240157234, std values: 4.897048439882327, min values: 1.7761e-06, max values: 39.487, median values: 0.21565, and quantile values: 0.25 0.052301\n0.50 0.215650\n0.75 0.844200\nName: 6463, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.682469994220195, std values: 5.120202166882432, min values: 6.0111e-08, max values: 42.736, median values: 0.25506, and quantile values: 0.25 0.072385\n0.50 0.255060\n0.75 1.216400\nName: 6464, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4239777087238992, std values: 4.758331803994934, min values: 1.1419e-06, max values: 38.696, median values: 0.21821, and quantile values: 0.25 0.062450\n0.50 0.218210\n0.75 0.853135\nName: 6465, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2835800799352202, std values: 4.563108166011325, min values: 1.2534e-06, max values: 38.572, median values: 0.20547, and quantile values: 0.25 0.064732\n0.50 0.205470\n0.75 0.723610\nName: 6466, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5686590280389936, std values: 5.034661918442152, min values: 4.8804e-06, max values: 40.326, median values: 0.25091, and quantile values: 0.25 0.074752\n0.50 0.250910\n0.75 0.924360\nName: 6467, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.432499005100063, std values: 4.906749688241126, min values: 3.7101e-07, max values: 40.266, median values: 0.22087, and quantile values: 0.25 0.058270\n0.50 0.220870\n0.75 0.884575\nName: 6468, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5167128895214463, std values: 4.851778739794041, min values: 7.4121e-07, max values: 38.412, median values: 0.23606, and quantile values: 0.25 0.059944\n0.50 0.236060\n0.75 0.921175\nName: 6469, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4473986975050315, std values: 4.84388647491476, min values: 3.3401e-06, max values: 40.658, median values: 0.21476, and quantile values: 0.25 0.058439\n0.50 0.214760\n0.75 0.904255\nName: 6470, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.428192697627673, std values: 4.710643974720547, min values: 3.0258e-06, max values: 38.57, median values: 0.24036, and quantile values: 0.25 0.072426\n0.50 0.240360\n0.75 0.851720\nName: 6471, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6042887155446541, std values: 5.142468641463115, min values: 1.0187e-06, max values: 42.946, median values: 0.2774, and quantile values: 0.25 0.072163\n0.50 0.277400\n0.75 1.004350\nName: 6472, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4454442161125787, std values: 4.700516121571961, min values: 1.5285e-06, max values: 38.573, median values: 0.20149, and quantile values: 0.25 0.057467\n0.50 0.201490\n0.75 0.843290\nName: 6473, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4414049150628931, std values: 5.11891766425852, min values: 9.661e-07, max values: 43.677, median values: 0.18775, and quantile values: 0.25 0.056326\n0.50 0.187750\n0.75 0.829600\nName: 6474, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3461573062525218, std values: 4.906735792697414, min values: 1.7751e-08, max values: 41.559, median values: 0.17195, and quantile values: 0.25 0.045252\n0.50 0.171950\n0.75 0.777165\nName: 6475, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3896984522306857, std values: 4.6836882309410734, min values: 1.6779e-08, max values: 37.966, median values: 0.18666, and quantile values: 0.25 0.046802\n0.50 0.186660\n0.75 0.797130\nName: 6476, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4696289286056605, std values: 4.99682395216487, min values: 1.7805e-06, max values: 40.767, median values: 0.21355, and quantile values: 0.25 0.065384\n0.50 0.213550\n0.75 0.853265\nName: 6477, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2586302144779875, std values: 4.7152090475315065, min values: 1.0256e-06, max values: 39.475, median values: 0.16163, and quantile values: 0.25 0.047842\n0.50 0.161630\n0.75 0.657900\nName: 6478, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3451295258726415, std values: 5.044550311969092, min values: 3.2595e-07, max values: 43.488, median values: 0.17614, and quantile values: 0.25 0.047652\n0.50 0.176140\n0.75 0.685775\nName: 6479, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5858664071289308, std values: 5.070256837835915, min values: 1.4583e-06, max values: 41.57, median values: 0.23897, and quantile values: 0.25 0.074858\n0.50 0.238970\n0.75 1.038000\nName: 6480, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3772683539383648, std values: 4.759033464776335, min values: 2.772e-06, max values: 39.579, median values: 0.23064, and quantile values: 0.25 0.064809\n0.50 0.230640\n0.75 0.795435\nName: 6481, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7224041029698112, std values: 5.2286992396804255, min values: 2.1782e-06, max values: 43.077, median values: 0.29259, and quantile values: 0.25 0.081865\n0.50 0.292590\n0.75 1.152100\nName: 6482, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4531613826041447, std values: 4.763228599690308, min values: 1.7549e-08, max values: 38.903, median values: 0.2272, and quantile values: 0.25 0.046406\n0.50 0.227200\n0.75 0.815235\nName: 6483, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4336573971166666, std values: 5.044586023092869, min values: 9.6765e-07, max values: 42.084, median values: 0.1811, and quantile values: 0.25 0.053582\n0.50 0.181100\n0.75 0.820455\nName: 6484, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.471316310071572, std values: 4.813411697321772, min values: 7.8648e-07, max values: 38.195, median values: 0.23261, and quantile values: 0.25 0.063532\n0.50 0.232610\n0.75 0.948500\nName: 6485, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3487255966503144, std values: 4.8470778559728425, min values: 4.0112e-06, max values: 40.595, median values: 0.17834, and quantile values: 0.25 0.054332\n0.50 0.178340\n0.75 0.595340\nName: 6486, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6438071787886166, std values: 4.907712161417401, min values: 1.8839e-07, max values: 38.761, median values: 0.24734, and quantile values: 0.25 0.059236\n0.50 0.247340\n0.75 1.068850\nName: 6487, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4390336239578616, std values: 4.5217437667572185, min values: 1.429e-06, max values: 38.351, median values: 0.23906, and quantile values: 0.25 0.068396\n0.50 0.239060\n0.75 0.894795\nName: 6488, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3174131395157231, std values: 4.643037886143602, min values: 2.8615e-06, max values: 40.269, median values: 0.17699, and quantile values: 0.25 0.051580\n0.50 0.176990\n0.75 0.663025\nName: 6489, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3804144314994338, std values: 4.900333181436193, min values: 5.3981e-07, max values: 40.871, median values: 0.20723, and quantile values: 0.25 0.065542\n0.50 0.207230\n0.75 0.757420\nName: 6490, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.458043235104742, std values: 4.851783681690655, min values: 2.4704e-08, max values: 39.503, median values: 0.22131, and quantile values: 0.25 0.052671\n0.50 0.221310\n0.75 0.933300\nName: 6491, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.572090622508176, std values: 5.0002249912456325, min values: 8.813e-07, max values: 40.488, median values: 0.27873, and quantile values: 0.25 0.06902\n0.50 0.27873\n0.75 0.98313\nName: 6492, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9825277138616353, std values: 5.86780860977633, min values: 1.3088e-05, max values: 44.325, median values: 0.28649, and quantile values: 0.25 0.082916\n0.50 0.286490\n0.75 1.162900\nName: 6493, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3992150977762892, std values: 4.810529401617362, min values: 2.9623e-07, max values: 39.367, median values: 0.19472, and quantile values: 0.25 0.053493\n0.50 0.194720\n0.75 0.788880\nName: 6494, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4198341203452831, std values: 4.977629504065785, min values: 2.2425e-06, max values: 40.211, median values: 0.19296, and quantile values: 0.25 0.071191\n0.50 0.192960\n0.75 0.807665\nName: 6495, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.414405938144025, std values: 4.914954603386313, min values: 1.8769e-06, max values: 39.785, median values: 0.22073, and quantile values: 0.25 0.064693\n0.50 0.220730\n0.75 0.842575\nName: 6496, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5227462465943398, std values: 5.04664368299758, min values: 2.6236e-06, max values: 40.771, median values: 0.24698, and quantile values: 0.25 0.068573\n0.50 0.246980\n0.75 0.899220\nName: 6497, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.608136885207547, std values: 4.965540015562938, min values: 3.4003e-06, max values: 39.234, median values: 0.27752, and quantile values: 0.25 0.082327\n0.50 0.277520\n0.75 1.029000\nName: 6498, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3067896801271068, std values: 4.700636929895116, min values: 3.3821e-07, max values: 37.702, median values: 0.17594, and quantile values: 0.25 0.05219\n0.50 0.17594\n0.75 0.67795\nName: 6499, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5417661946572327, std values: 4.938423035233923, min values: 7.137e-07, max values: 39.217, median values: 0.22465, and quantile values: 0.25 0.063371\n0.50 0.224650\n0.75 0.970180\nName: 6500, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.425222101459497, std values: 4.7912163935446666, min values: 9.6046e-07, max values: 38.081, median values: 0.20593, and quantile values: 0.25 0.055425\n0.50 0.205930\n0.75 0.889150\nName: 6501, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5007380603393712, std values: 5.073918726039961, min values: 7.2506e-07, max values: 42.776, median values: 0.18747, and quantile values: 0.25 0.058527\n0.50 0.187470\n0.75 0.863575\nName: 6502, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6512559911182392, std values: 5.170336639009744, min values: 4.5984e-06, max values: 40.685, median values: 0.25633, and quantile values: 0.25 0.072301\n0.50 0.256330\n0.75 1.027000\nName: 6503, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2496443621686162, std values: 4.582125258995826, min values: 2.1054e-07, max values: 36.669, median values: 0.14543, and quantile values: 0.25 0.040112\n0.50 0.145430\n0.75 0.658010\nName: 6504, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.287863924176604, std values: 4.863261157182677, min values: 4.5266e-07, max values: 41.511, median values: 0.16077, and quantile values: 0.25 0.052765\n0.50 0.160770\n0.75 0.705125\nName: 6505, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4534174721268553, std values: 4.7289481570043215, min values: 4.4117e-07, max values: 38.255, median values: 0.21313, and quantile values: 0.25 0.055213\n0.50 0.213130\n0.75 0.931865\nName: 6506, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3238174336383648, std values: 4.722586387732528, min values: 1.7451e-06, max values: 39.468, median values: 0.18711, and quantile values: 0.25 0.050547\n0.50 0.187110\n0.75 0.730015\nName: 6507, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.629767702333333, std values: 5.366734745542401, min values: 3.9583e-06, max values: 46.038, median values: 0.26974, and quantile values: 0.25 0.085713\n0.50 0.269740\n0.75 0.953345\nName: 6508, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5099148275515724, std values: 5.119526263582553, min values: 3.3853e-06, max values: 41.952, median values: 0.19846, and quantile values: 0.25 0.065425\n0.50 0.198460\n0.75 0.894885\nName: 6509, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.545118834709434, std values: 4.975209393728758, min values: 2.9346e-06, max values: 39.881, median values: 0.24362, and quantile values: 0.25 0.065953\n0.50 0.243620\n0.75 0.953365\nName: 6510, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.339521221927044, std values: 4.490452912491601, min values: 1.5031e-06, max values: 38.712, median values: 0.21516, and quantile values: 0.25 0.061818\n0.50 0.215160\n0.75 0.791905\nName: 6511, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.61458634446, std values: 4.928537641765341, min values: 2.9459e-07, max values: 40.374, median values: 0.2467, and quantile values: 0.25 0.061594\n0.50 0.246700\n0.75 1.009715\nName: 6512, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.0571753541738365, std values: 4.8715164518641085, min values: 9.5994e-07, max values: 41.236, median values: 0.082705, and quantile values: 0.25 0.022927\n0.50 0.082705\n0.75 0.319590\nName: 6513, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2179681175246542, std values: 4.740216223207182, min values: 7.7802e-07, max values: 39.07, median values: 0.1597, and quantile values: 0.25 0.049858\n0.50 0.159700\n0.75 0.653705\nName: 6514, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5755885421968552, std values: 4.841485358872209, min values: 3.4041e-06, max values: 38.413, median values: 0.2529, and quantile values: 0.25 0.068739\n0.50 0.252900\n0.75 0.991490\nName: 6515, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5919998378767295, std values: 4.826354469375099, min values: 2.9914e-06, max values: 38.802, median values: 0.27998, and quantile values: 0.25 0.083372\n0.50 0.279980\n0.75 1.091200\nName: 6516, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6028543488522011, std values: 5.050688086673786, min values: 4.1773e-06, max values: 40.295, median values: 0.25711, and quantile values: 0.25 0.072731\n0.50 0.257110\n0.75 0.967420\nName: 6517, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5824398863138365, std values: 4.9331134904257885, min values: 2.0255e-06, max values: 38.797, median values: 0.26047, and quantile values: 0.25 0.066771\n0.50 0.260470\n0.75 0.992945\nName: 6518, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5016643018801887, std values: 4.580125161261911, min values: 0.0, max values: 36.444, median values: 0.23485, and quantile values: 0.25 0.060170\n0.50 0.234850\n0.75 1.014435\nName: 6519, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6499776161081763, std values: 4.9445700830284585, min values: 1.3145e-06, max values: 38.413, median values: 0.28328, and quantile values: 0.25 0.078665\n0.50 0.283280\n0.75 1.122550\nName: 6520, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4103404396171382, std values: 4.778070246250814, min values: 1.3278e-08, max values: 39.863, median values: 0.18568, and quantile values: 0.25 0.038723\n0.50 0.185680\n0.75 0.797445\nName: 6521, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7023606491088048, std values: 5.409928714767664, min values: 1.595e-06, max values: 47.592, median values: 0.2999, and quantile values: 0.25 0.082474\n0.50 0.299900\n0.75 1.082000\nName: 6522, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4072336633874214, std values: 4.606429457357932, min values: 1.4105e-06, max values: 38.252, median values: 0.20276, and quantile values: 0.25 0.063907\n0.50 0.202760\n0.75 0.863410\nName: 6523, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3476217986410064, std values: 4.814429362266588, min values: 3.595e-08, max values: 40.784, median values: 0.16768, and quantile values: 0.25 0.038097\n0.50 0.167680\n0.75 0.680315\nName: 6524, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4090548583562892, std values: 4.86989077098865, min values: 5.1535e-07, max values: 39.521, median values: 0.19279, and quantile values: 0.25 0.060129\n0.50 0.192790\n0.75 0.825440\nName: 6525, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3574017342167926, std values: 4.796766085213541, min values: 3.2377e-07, max values: 39.664, median values: 0.19179, and quantile values: 0.25 0.056736\n0.50 0.191790\n0.75 0.780250\nName: 6526, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5024445937320754, std values: 4.975672413469247, min values: 1.3139e-06, max values: 40.47, median values: 0.21375, and quantile values: 0.25 0.060900\n0.50 0.213750\n0.75 0.904785\nName: 6527, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4085291692018869, std values: 5.002192762767416, min values: 7.383e-07, max values: 42.172, median values: 0.20063, and quantile values: 0.25 0.054562\n0.50 0.200630\n0.75 0.821120\nName: 6528, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6110782161113208, std values: 5.096908907096839, min values: 1.928e-08, max values: 42.372, median values: 0.22936, and quantile values: 0.25 0.048178\n0.50 0.229360\n0.75 0.918540\nName: 6529, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.619172268573585, std values: 4.959910149270021, min values: 1.9081e-06, max values: 39.264, median values: 0.27397, and quantile values: 0.25 0.073888\n0.50 0.273970\n0.75 1.111750\nName: 6530, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2315193477728932, std values: 4.871040002151136, min values: 2.8129e-07, max values: 41.978, median values: 0.14595, and quantile values: 0.25 0.044926\n0.50 0.145950\n0.75 0.630565\nName: 6531, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.404547025618868, std values: 5.071129297116671, min values: 1.5708e-06, max values: 42.197, median values: 0.19402, and quantile values: 0.25 0.053676\n0.50 0.194020\n0.75 0.775900\nName: 6532, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4185802226735849, std values: 4.835267044477046, min values: 2.4393e-06, max values: 38.648, median values: 0.21359, and quantile values: 0.25 0.062666\n0.50 0.213590\n0.75 0.788695\nName: 6533, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.493730399461006, std values: 4.974572187804781, min values: 3.034e-07, max values: 41.638, median values: 0.20589, and quantile values: 0.25 0.055629\n0.50 0.205890\n0.75 0.870545\nName: 6534, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.284020080628302, std values: 4.541422011213383, min values: 1.2536e-06, max values: 39.814, median values: 0.18781, and quantile values: 0.25 0.045384\n0.50 0.187810\n0.75 0.789215\nName: 6535, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3973979041169813, std values: 4.821728031312216, min values: 1.0292e-06, max values: 38.816, median values: 0.23162, and quantile values: 0.25 0.064526\n0.50 0.231620\n0.75 0.794110\nName: 6536, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4268449514855346, std values: 4.913548144246205, min values: 2.4347e-06, max values: 39.594, median values: 0.21902, and quantile values: 0.25 0.063692\n0.50 0.219020\n0.75 0.869595\nName: 6537, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.760128251827673, std values: 5.228616979910391, min values: 1.914e-06, max values: 43.059, median values: 0.25422, and quantile values: 0.25 0.078378\n0.50 0.254220\n0.75 1.170850\nName: 6538, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4852094929515725, std values: 4.854250894756643, min values: 2.5895e-06, max values: 38.996, median values: 0.21546, and quantile values: 0.25 0.066080\n0.50 0.215460\n0.75 0.797385\nName: 6539, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4651560784167295, std values: 4.955703053541982, min values: 9.7896e-07, max values: 40.664, median values: 0.23088, and quantile values: 0.25 0.060448\n0.50 0.230880\n0.75 0.859270\nName: 6540, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6611709669754717, std values: 5.125632060412811, min values: 1.8188e-06, max values: 41.54, median values: 0.24552, and quantile values: 0.25 0.07340\n0.50 0.24552\n0.75 1.21475\nName: 6541, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5830671725157233, std values: 4.898002461563122, min values: 2.9865e-06, max values: 39.388, median values: 0.27278, and quantile values: 0.25 0.079556\n0.50 0.272780\n0.75 1.033900\nName: 6542, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.164227780773585, std values: 4.654026607558948, min values: 1.3438e-06, max values: 39.067, median values: 0.12548, and quantile values: 0.25 0.03676\n0.50 0.12548\n0.75 0.53667\nName: 6543, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5912742063924528, std values: 5.064065554131008, min values: 3.7947e-06, max values: 40.121, median values: 0.28056, and quantile values: 0.25 0.073833\n0.50 0.280560\n0.75 1.004215\nName: 6544, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6180060998322643, std values: 4.964810949552483, min values: 6.7223e-07, max values: 40.024, median values: 0.2704, and quantile values: 0.25 0.069803\n0.50 0.270400\n0.75 1.079100\nName: 6545, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4792508283197483, std values: 4.7454844375859615, min values: 0.0, max values: 38.26, median values: 0.23468, and quantile values: 0.25 0.059709\n0.50 0.234680\n0.75 0.928955\nName: 6546, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.397086506231698, std values: 4.643420134379093, min values: 3.5834e-07, max values: 38.198, median values: 0.22824, and quantile values: 0.25 0.056627\n0.50 0.228240\n0.75 0.864580\nName: 6547, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3579668756236478, std values: 4.577502254078588, min values: 2.5293e-07, max values: 35.985, median values: 0.16374, and quantile values: 0.25 0.04931\n0.50 0.16374\n0.75 0.80772\nName: 6548, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2557802133041507, std values: 4.7377103216723, min values: 1.8207e-07, max values: 39.258, median values: 0.14511, and quantile values: 0.25 0.041815\n0.50 0.145110\n0.75 0.605725\nName: 6549, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3992656167069182, std values: 4.691317633274773, min values: 8.626e-07, max values: 38.34, median values: 0.2129, and quantile values: 0.25 0.05526\n0.50 0.21290\n0.75 0.79805\nName: 6550, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7132084931433962, std values: 5.32257262317529, min values: 4.7725e-06, max values: 42.997, median values: 0.29961, and quantile values: 0.25 0.083003\n0.50 0.299610\n0.75 1.058150\nName: 6551, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8279235705924526, std values: 5.293687701444561, min values: 1.4985e-06, max values: 43.263, median values: 0.35019, and quantile values: 0.25 0.090425\n0.50 0.350190\n0.75 1.299100\nName: 6552, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3538830207779875, std values: 4.779534058363577, min values: 1.5161e-06, max values: 39.419, median values: 0.20034, and quantile values: 0.25 0.056607\n0.50 0.200340\n0.75 0.755145\nName: 6553, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.483250438774214, std values: 5.001719092002954, min values: 1.0469e-06, max values: 41.779, median values: 0.22947, and quantile values: 0.25 0.069703\n0.50 0.229470\n0.75 0.892025\nName: 6554, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5643635548018868, std values: 5.177357508173974, min values: 1.3398e-06, max values: 43.474, median values: 0.20537, and quantile values: 0.25 0.059046\n0.50 0.205370\n0.75 0.933370\nName: 6555, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3526240922223272, std values: 4.748301588498329, min values: 4.5095e-07, max values: 38.64, median values: 0.18942, and quantile values: 0.25 0.053844\n0.50 0.189420\n0.75 0.739960\nName: 6556, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6270205429745284, std values: 4.959468692249083, min values: 2.6675e-07, max values: 39.467, median values: 0.25801, and quantile values: 0.25 0.06390\n0.50 0.25801\n0.75 1.09010\nName: 6557, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3942493417590187, std values: 4.610265667073897, min values: 2.5364e-08, max values: 36.213, median values: 0.22415, and quantile values: 0.25 0.044632\n0.50 0.224150\n0.75 0.780230\nName: 6558, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4167819123188679, std values: 4.910376961443639, min values: 1.362e-06, max values: 39.784, median values: 0.20004, and quantile values: 0.25 0.058719\n0.50 0.200040\n0.75 0.809240\nName: 6559, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5512166949647797, std values: 4.957718733705192, min values: 1.9437e-06, max values: 39.731, median values: 0.24653, and quantile values: 0.25 0.067504\n0.50 0.246530\n0.75 0.975895\nName: 6560, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5660890464962263, std values: 4.933301875181868, min values: 5.1816e-06, max values: 40.344, median values: 0.26878, and quantile values: 0.25 0.077178\n0.50 0.268780\n0.75 0.948700\nName: 6561, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2311676515253018, std values: 4.553697821463791, min values: 5.2183e-08, max values: 37.399, median values: 0.15956, and quantile values: 0.25 0.034751\n0.50 0.159560\n0.75 0.664915\nName: 6562, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3898443569389938, std values: 4.588553066635339, min values: 1.86e-06, max values: 38.956, median values: 0.18453, and quantile values: 0.25 0.058834\n0.50 0.184530\n0.75 0.805185\nName: 6563, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.712790931569811, std values: 5.373333606418806, min values: 9.7336e-06, max values: 42.696, median values: 0.26927, and quantile values: 0.25 0.073224\n0.50 0.269270\n0.75 0.917585\nName: 6564, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5459888298715219, std values: 4.942536547990867, min values: 2.2472e-08, max values: 40.536, median values: 0.22067, and quantile values: 0.25 0.057538\n0.50 0.220670\n0.75 1.047650\nName: 6565, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6103015536314464, std values: 4.918887355268096, min values: 4.1149e-06, max values: 40.29, median values: 0.26345, and quantile values: 0.25 0.083855\n0.50 0.263450\n0.75 1.021550\nName: 6566, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5309469871651573, std values: 4.759466557937975, min values: 6.5506e-07, max values: 38.729, median values: 0.23213, and quantile values: 0.25 0.064996\n0.50 0.232130\n0.75 0.940975\nName: 6567, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4531957788038363, std values: 4.789124120152139, min values: 8.4341e-07, max values: 38.224, median values: 0.2202, and quantile values: 0.25 0.062008\n0.50 0.220200\n0.75 0.872880\nName: 6568, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.501853331109434, std values: 4.9126276038620835, min values: 1.4907e-06, max values: 39.061, median values: 0.21451, and quantile values: 0.25 0.059643\n0.50 0.214510\n0.75 0.948905\nName: 6569, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6577395152924528, std values: 5.156442371587681, min values: 2.7136e-06, max values: 42.064, median values: 0.26061, and quantile values: 0.25 0.078202\n0.50 0.260610\n0.75 1.111700\nName: 6570, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.311372114161761, std values: 4.529986723750856, min values: 4.2682e-07, max values: 37.331, median values: 0.17546, and quantile values: 0.25 0.049880\n0.50 0.175460\n0.75 0.772305\nName: 6571, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4759979265578616, std values: 5.176459395580181, min values: 1.8566e-06, max values: 44.082, median values: 0.22761, and quantile values: 0.25 0.058112\n0.50 0.227610\n0.75 0.876225\nName: 6572, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3607766756339184, std values: 4.837148458177767, min values: 5.2113e-08, max values: 40.471, median values: 0.16656, and quantile values: 0.25 0.042242\n0.50 0.166560\n0.75 0.752520\nName: 6573, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.539390357810063, std values: 5.09815846831391, min values: 1.3871e-06, max values: 42.392, median values: 0.22424, and quantile values: 0.25 0.064082\n0.50 0.224240\n0.75 0.951015\nName: 6574, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5796647797019499, std values: 4.960518050634184, min values: 9.5961e-07, max values: 39.484, median values: 0.2282, and quantile values: 0.25 0.067641\n0.50 0.228200\n0.75 1.058000\nName: 6575, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5285841345358488, std values: 4.990816483995582, min values: 1.2764e-06, max values: 40.622, median values: 0.25049, and quantile values: 0.25 0.063524\n0.50 0.250490\n0.75 0.933460\nName: 6576, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4052444268091826, std values: 4.846942146269956, min values: 1.5381e-07, max values: 40.563, median values: 0.18491, and quantile values: 0.25 0.045894\n0.50 0.184910\n0.75 0.701765\nName: 6577, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4099907075742135, std values: 4.580820042772149, min values: 2.6687e-06, max values: 39.246, median values: 0.2064, and quantile values: 0.25 0.06042\n0.50 0.20640\n0.75 0.84705\nName: 6578, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.403650569497547, std values: 4.764242755240225, min values: 2.1847e-07, max values: 38.654, median values: 0.19776, and quantile values: 0.25 0.04674\n0.50 0.19776\n0.75 0.77608\nName: 6579, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4066781650138365, std values: 4.76412764346593, min values: 3.4488e-06, max values: 40.413, median values: 0.19031, and quantile values: 0.25 0.061334\n0.50 0.190310\n0.75 0.789070\nName: 6580, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3792912392433962, std values: 4.644701877041008, min values: 1.6652e-06, max values: 39.717, median values: 0.18105, and quantile values: 0.25 0.053298\n0.50 0.181050\n0.75 0.832625\nName: 6581, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2320462982610692, std values: 4.835967763271072, min values: 2.7234e-07, max values: 41.512, median values: 0.11387, and quantile values: 0.25 0.02664\n0.50 0.11387\n0.75 0.56019\nName: 6582, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3660749985962262, std values: 4.741466799739946, min values: 3.2556e-06, max values: 39.588, median values: 0.19668, and quantile values: 0.25 0.061457\n0.50 0.196680\n0.75 0.775840\nName: 6583, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.38892718506, std values: 4.85610604646873, min values: 1.0394e-07, max values: 40.023, median values: 0.17855, and quantile values: 0.25 0.042895\n0.50 0.178550\n0.75 0.736270\nName: 6584, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6107939644867924, std values: 5.127240574121879, min values: 2.8257e-06, max values: 41.44, median values: 0.28443, and quantile values: 0.25 0.067186\n0.50 0.284430\n0.75 1.031465\nName: 6585, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.325711760244654, std values: 4.6450573127123205, min values: 2.233e-06, max values: 38.589, median values: 0.19194, and quantile values: 0.25 0.054566\n0.50 0.191940\n0.75 0.697360\nName: 6586, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4421923520584274, std values: 5.00738788974404, min values: 8.6429e-07, max values: 41.118, median values: 0.18092, and quantile values: 0.25 0.056175\n0.50 0.180920\n0.75 0.802110\nName: 6587, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5017823663308176, std values: 4.766215663212378, min values: 1.9767e-06, max values: 38.819, median values: 0.24997, and quantile values: 0.25 0.073698\n0.50 0.249970\n0.75 0.933455\nName: 6588, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.682041401211321, std values: 4.923528795024247, min values: 2.7175e-06, max values: 39.068, median values: 0.30996, and quantile values: 0.25 0.086164\n0.50 0.309960\n0.75 1.165000\nName: 6589, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3907674016296978, std values: 4.874759323588484, min values: 3.3112e-08, max values: 41.387, median values: 0.15755, and quantile values: 0.25 0.044040\n0.50 0.157550\n0.75 0.775875\nName: 6590, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7437472338691824, std values: 5.124612886343036, min values: 2.3635e-06, max values: 40.863, median values: 0.30822, and quantile values: 0.25 0.089352\n0.50 0.308220\n0.75 1.214750\nName: 6591, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2230247439834843, std values: 4.720778779700572, min values: 2.3404e-08, max values: 39.16, median values: 0.13632, and quantile values: 0.25 0.038968\n0.50 0.136320\n0.75 0.555070\nName: 6592, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.563001043787673, std values: 5.1071395883214095, min values: 6.5734e-07, max values: 43.808, median values: 0.21809, and quantile values: 0.25 0.066255\n0.50 0.218090\n0.75 0.950750\nName: 6593, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5784156361672956, std values: 5.280389548407291, min values: 3.124e-06, max values: 43.708, median values: 0.23482, and quantile values: 0.25 0.068147\n0.50 0.234820\n0.75 0.869080\nName: 6594, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.605021281891824, std values: 4.915828336291561, min values: 2.2955e-06, max values: 39.183, median values: 0.25502, and quantile values: 0.25 0.07921\n0.50 0.25502\n0.75 1.04165\nName: 6595, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2841601802257863, std values: 4.644673933640067, min values: 2.8086e-06, max values: 39.559, median values: 0.15954, and quantile values: 0.25 0.048809\n0.50 0.159540\n0.75 0.659915\nName: 6596, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5657810642989498, std values: 5.031788241808352, min values: 2.7372e-08, max values: 43.27, median values: 0.224, and quantile values: 0.25 0.049241\n0.50 0.224000\n0.75 0.907720\nName: 6597, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4896141937142138, std values: 5.050094893445822, min values: 2.3896e-07, max values: 42.681, median values: 0.20383, and quantile values: 0.25 0.056141\n0.50 0.203830\n0.75 0.881790\nName: 6598, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3454932153103143, std values: 4.732376575942881, min values: 9.3944e-07, max values: 37.781, median values: 0.19605, and quantile values: 0.25 0.057056\n0.50 0.196050\n0.75 0.755995\nName: 6599, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.336928840125157, std values: 4.8702848578226225, min values: 4.724e-07, max values: 41.18, median values: 0.19532, and quantile values: 0.25 0.057825\n0.50 0.195320\n0.75 0.703415\nName: 6600, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6232154367886793, std values: 4.931663080674859, min values: 1.1012e-06, max values: 38.831, median values: 0.23582, and quantile values: 0.25 0.069778\n0.50 0.235820\n0.75 1.132500\nName: 6601, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5885494799339623, std values: 5.212507589189779, min values: 3.1387e-06, max values: 42.265, median values: 0.25738, and quantile values: 0.25 0.077348\n0.50 0.257380\n0.75 0.920260\nName: 6602, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5957363188639626, std values: 4.795207329629232, min values: 6.2867e-07, max values: 37.596, median values: 0.21594, and quantile values: 0.25 0.055594\n0.50 0.215940\n0.75 1.121750\nName: 6603, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4987487156339625, std values: 5.003350894177029, min values: 3.1117e-06, max values: 40.087, median values: 0.23841, and quantile values: 0.25 0.060062\n0.50 0.238410\n0.75 0.894935\nName: 6604, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3741506457982389, std values: 4.8531918454419785, min values: 2.0312e-07, max values: 39.754, median values: 0.1974, and quantile values: 0.25 0.051463\n0.50 0.197400\n0.75 0.777725\nName: 6605, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2840459649446543, std values: 4.756291696564754, min values: 1.4392e-06, max values: 38.937, median values: 0.15884, and quantile values: 0.25 0.060901\n0.50 0.158840\n0.75 0.655065\nName: 6606, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4262587681233334, std values: 4.596580332051138, min values: 6.8851e-07, max values: 37.145, median values: 0.21149, and quantile values: 0.25 0.061341\n0.50 0.211490\n0.75 0.854365\nName: 6607, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8467868823666664, std values: 5.326667244328876, min values: 2.9845e-06, max values: 43.103, median values: 0.34586, and quantile values: 0.25 0.088722\n0.50 0.345860\n0.75 1.336550\nName: 6608, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4648520470825537, std values: 4.956786372314516, min values: 2.2636e-08, max values: 42.088, median values: 0.24069, and quantile values: 0.25 0.055443\n0.50 0.240690\n0.75 0.927590\nName: 6609, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5806903841488051, std values: 5.090277933301457, min values: 8.5266e-07, max values: 41.89, median values: 0.25441, and quantile values: 0.25 0.073007\n0.50 0.254410\n0.75 1.006800\nName: 6610, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5144201876031447, std values: 4.921468275633666, min values: 1.4048e-06, max values: 39.555, median values: 0.2187, and quantile values: 0.25 0.069425\n0.50 0.218700\n0.75 0.831975\nName: 6611, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6031312865786163, std values: 4.935057100033686, min values: 1.8222e-06, max values: 38.474, median values: 0.26124, and quantile values: 0.25 0.078903\n0.50 0.261240\n0.75 1.015150\nName: 6612, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6436531847408806, std values: 5.232466591390679, min values: 3.2856e-06, max values: 42.487, median values: 0.28039, and quantile values: 0.25 0.069879\n0.50 0.280390\n0.75 0.996395\nName: 6613, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.229050559456352, std values: 4.485164803651189, min values: 1.8676e-07, max values: 37.057, median values: 0.18052, and quantile values: 0.25 0.047993\n0.50 0.180520\n0.75 0.651265\nName: 6614, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7357376288924526, std values: 5.067793546131083, min values: 1.5873e-06, max values: 39.761, median values: 0.3234, and quantile values: 0.25 0.086583\n0.50 0.323400\n0.75 1.221400\nName: 6615, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4285580446640251, std values: 4.779013799155838, min values: 7.9498e-07, max values: 37.976, median values: 0.2151, and quantile values: 0.25 0.064485\n0.50 0.215100\n0.75 0.872505\nName: 6616, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7016157320377356, std values: 5.01238914992381, min values: 2.4856e-06, max values: 38.837, median values: 0.29693, and quantile values: 0.25 0.076001\n0.50 0.296930\n0.75 1.163250\nName: 6617, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4868246129874214, std values: 4.878787247359691, min values: 1.8892e-06, max values: 39.453, median values: 0.23533, and quantile values: 0.25 0.073228\n0.50 0.235330\n0.75 0.921365\nName: 6618, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3074468841879872, std values: 4.854781315742911, min values: 2.8019e-07, max values: 40.719, median values: 0.17479, and quantile values: 0.25 0.045633\n0.50 0.174790\n0.75 0.698565\nName: 6619, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5221319792320755, std values: 4.979609441448108, min values: 1.6022e-06, max values: 40.528, median values: 0.2242, and quantile values: 0.25 0.071684\n0.50 0.224200\n0.75 0.879070\nName: 6620, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.346337938944025, std values: 4.887468032298572, min values: 1.5475e-06, max values: 39.374, median values: 0.19345, and quantile values: 0.25 0.056083\n0.50 0.193450\n0.75 0.738185\nName: 6621, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4691580345888742, std values: 4.8104031918968015, min values: 2.4469e-08, max values: 39.493, median values: 0.16893, and quantile values: 0.25 0.04148\n0.50 0.16893\n0.75 0.83861\nName: 6622, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5946300526041635, std values: 4.939060490470299, min values: 3.6732e-08, max values: 40.462, median values: 0.24897, and quantile values: 0.25 0.059162\n0.50 0.248970\n0.75 1.096400\nName: 6623, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6184551081031446, std values: 5.068456295599509, min values: 1.2839e-06, max values: 41.303, median values: 0.29175, and quantile values: 0.25 0.071477\n0.50 0.291750\n0.75 1.057150\nName: 6624, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.465585529334887, std values: 4.880953689472396, min values: 3.4967e-08, max values: 40.642, median values: 0.20333, and quantile values: 0.25 0.045764\n0.50 0.203330\n0.75 0.953555\nName: 6625, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5229972371742138, std values: 5.084633499643742, min values: 1.1102e-06, max values: 42.72, median values: 0.23913, and quantile values: 0.25 0.065997\n0.50 0.239130\n0.75 0.810535\nName: 6626, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3390505352943396, std values: 4.916056515088075, min values: 1.9724e-06, max values: 39.811, median values: 0.1862, and quantile values: 0.25 0.057369\n0.50 0.186200\n0.75 0.741265\nName: 6627, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5622439186442139, std values: 4.935057751860096, min values: 2.2423e-07, max values: 40.282, median values: 0.23022, and quantile values: 0.25 0.057142\n0.50 0.230220\n0.75 0.886780\nName: 6628, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5660053319959495, std values: 5.059805206650156, min values: 2.9356e-08, max values: 42.348, median values: 0.22272, and quantile values: 0.25 0.057117\n0.50 0.222720\n0.75 1.025035\nName: 6629, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4355919375769812, std values: 5.089643690507493, min values: 2.0464e-07, max values: 44.142, median values: 0.19088, and quantile values: 0.25 0.048021\n0.50 0.190880\n0.75 0.809455\nName: 6630, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4874472201679247, std values: 4.856351082087289, min values: 1.0011e-06, max values: 38.494, median values: 0.2282, and quantile values: 0.25 0.059479\n0.50 0.228200\n0.75 0.921850\nName: 6631, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3836269146222642, std values: 4.828837052457484, min values: 2.659e-07, max values: 39.594, median values: 0.18016, and quantile values: 0.25 0.047878\n0.50 0.180160\n0.75 0.696605\nName: 6632, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3627956753554085, std values: 4.911599998997711, min values: 1.2922e-07, max values: 42.198, median values: 0.15659, and quantile values: 0.25 0.037205\n0.50 0.156590\n0.75 0.672505\nName: 6633, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.414036400131195, std values: 4.712923162939091, min values: 3.2666e-07, max values: 37.995, median values: 0.20388, and quantile values: 0.25 0.061025\n0.50 0.203880\n0.75 0.885785\nName: 6634, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.522457308284277, std values: 4.966228253069027, min values: 1.9433e-06, max values: 39.882, median values: 0.26721, and quantile values: 0.25 0.069558\n0.50 0.267210\n0.75 0.954695\nName: 6635, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5568498556113206, std values: 5.082437010277743, min values: 3.7965e-06, max values: 40.715, median values: 0.23019, and quantile values: 0.25 0.074740\n0.50 0.230190\n0.75 0.974815\nName: 6636, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7115560990647798, std values: 5.16094472941402, min values: 3.9468e-06, max values: 40.478, median values: 0.30913, and quantile values: 0.25 0.079619\n0.50 0.309130\n0.75 1.164500\nName: 6637, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4777857678012578, std values: 5.002001665992527, min values: 1.0364e-06, max values: 41.69, median values: 0.25749, and quantile values: 0.25 0.067372\n0.50 0.257490\n0.75 0.852310\nName: 6638, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.344934030181761, std values: 4.779775531544813, min values: 1.2345e-06, max values: 38.453, median values: 0.19529, and quantile values: 0.25 0.060557\n0.50 0.195290\n0.75 0.793305\nName: 6639, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3532062528550943, std values: 4.846715123940632, min values: 3.803e-07, max values: 40.85, median values: 0.17508, and quantile values: 0.25 0.045520\n0.50 0.175080\n0.75 0.668585\nName: 6640, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.296847804899371, std values: 4.859222335043247, min values: 1.2671e-06, max values: 39.295, median values: 0.16595, and quantile values: 0.25 0.049952\n0.50 0.165950\n0.75 0.687745\nName: 6641, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4447337230088049, std values: 4.763861379433677, min values: 1.1678e-06, max values: 38.169, median values: 0.2411, and quantile values: 0.25 0.070352\n0.50 0.241100\n0.75 0.866625\nName: 6642, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.534024482467673, std values: 4.729784676584275, min values: 6.5356e-07, max values: 36.961, median values: 0.24573, and quantile values: 0.25 0.059339\n0.50 0.245730\n0.75 1.043100\nName: 6643, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3809559532025786, std values: 4.69075921689047, min values: 4.6221e-07, max values: 37.281, median values: 0.22839, and quantile values: 0.25 0.061658\n0.50 0.228390\n0.75 0.787010\nName: 6644, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3441436533, std values: 4.816537168970507, min values: 3.653e-06, max values: 41.386, median values: 0.18271, and quantile values: 0.25 0.057398\n0.50 0.182710\n0.75 0.704200\nName: 6645, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4549560646394337, std values: 4.735873798941918, min values: 4.0437e-07, max values: 37.772, median values: 0.2288, and quantile values: 0.25 0.060018\n0.50 0.228800\n0.75 0.927045\nName: 6646, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5433882271786163, std values: 4.864154078807667, min values: 1.1257e-06, max values: 38.511, median values: 0.24157, and quantile values: 0.25 0.067252\n0.50 0.241570\n0.75 0.987680\nName: 6647, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9735891050167296, std values: 5.595272976121659, min values: 3.3656e-07, max values: 49.011, median values: 0.29065, and quantile values: 0.25 0.068029\n0.50 0.290650\n0.75 1.372100\nName: 6648, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3330337589490564, std values: 4.807015234008053, min values: 2.4834e-06, max values: 40.662, median values: 0.19823, and quantile values: 0.25 0.054044\n0.50 0.198230\n0.75 0.771015\nName: 6649, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5789374585716984, std values: 5.171280619846342, min values: 2.827e-06, max values: 42.221, median values: 0.25734, and quantile values: 0.25 0.073879\n0.50 0.257340\n0.75 0.965265\nName: 6650, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7157814336339625, std values: 5.197378107241341, min values: 5.6733e-06, max values: 40.615, median values: 0.30773, and quantile values: 0.25 0.077695\n0.50 0.307730\n0.75 1.040550\nName: 6651, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5140399830049687, std values: 5.149688171410902, min values: 2.5959e-07, max values: 44.862, median values: 0.23448, and quantile values: 0.25 0.059457\n0.50 0.234480\n0.75 0.959970\nName: 6652, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4434019561044027, std values: 5.034688542487425, min values: 2.3465e-06, max values: 40.591, median values: 0.20215, and quantile values: 0.25 0.061366\n0.50 0.202150\n0.75 0.801005\nName: 6653, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.319587716800629, std values: 4.653284912056605, min values: 1.6305e-06, max values: 38.562, median values: 0.18652, and quantile values: 0.25 0.057927\n0.50 0.186520\n0.75 0.738545\nName: 6654, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6758048365056606, std values: 4.930319237564278, min values: 1.7672e-06, max values: 38.821, median values: 0.2768, and quantile values: 0.25 0.082813\n0.50 0.276800\n0.75 1.172550\nName: 6655, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6235804794150943, std values: 4.985804500680006, min values: 7.3479e-06, max values: 40.582, median values: 0.27741, and quantile values: 0.25 0.077254\n0.50 0.277410\n0.75 0.985955\nName: 6656, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.568384504545912, std values: 4.969991509028248, min values: 2.8332e-06, max values: 39.027, median values: 0.25886, and quantile values: 0.25 0.070127\n0.50 0.258860\n0.75 0.979025\nName: 6657, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3492893841968554, std values: 5.033672733109629, min values: 1.0952e-06, max values: 43.567, median values: 0.17835, and quantile values: 0.25 0.05412\n0.50 0.17835\n0.75 0.73419\nName: 6658, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6197731560496855, std values: 5.075101377103269, min values: 6.259e-07, max values: 40.22, median values: 0.27511, and quantile values: 0.25 0.071178\n0.50 0.275110\n0.75 1.002730\nName: 6659, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.484050459628868, std values: 4.899434506455519, min values: 7.0319e-07, max values: 40.057, median values: 0.20758, and quantile values: 0.25 0.056602\n0.50 0.207580\n0.75 0.917150\nName: 6660, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3921536704899373, std values: 4.769062026700973, min values: 1.5495e-06, max values: 39.219, median values: 0.2103, and quantile values: 0.25 0.062547\n0.50 0.210300\n0.75 0.797840\nName: 6661, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.497008155253396, std values: 4.959370771626385, min values: 3.2324e-07, max values: 41.628, median values: 0.19905, and quantile values: 0.25 0.046658\n0.50 0.199050\n0.75 0.930640\nName: 6662, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3227593244110694, std values: 4.5694999134100645, min values: 5.5696e-07, max values: 37.318, median values: 0.20945, and quantile values: 0.25 0.060894\n0.50 0.209450\n0.75 0.788215\nName: 6663, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6199571410828928, std values: 5.144640324317243, min values: 2.228e-08, max values: 44.255, median values: 0.18236, and quantile values: 0.25 0.044034\n0.50 0.182360\n0.75 0.973415\nName: 6664, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.430869859707547, std values: 4.777158583138451, min values: 2.1101e-06, max values: 40.148, median values: 0.21166, and quantile values: 0.25 0.070652\n0.50 0.211660\n0.75 0.859990\nName: 6665, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6549467251708805, std values: 4.987092361340068, min values: 7.4777e-07, max values: 39.597, median values: 0.29127, and quantile values: 0.25 0.077803\n0.50 0.291270\n0.75 1.065050\nName: 6666, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5595962483667924, std values: 5.08279776945312, min values: 2.0022e-07, max values: 42.999, median values: 0.20648, and quantile values: 0.25 0.053130\n0.50 0.206480\n0.75 0.957455\nName: 6667, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5326792234780502, std values: 5.0462297126351965, min values: 3.2701e-07, max values: 42.763, median values: 0.17262, and quantile values: 0.25 0.050119\n0.50 0.172620\n0.75 0.849130\nName: 6668, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3023279065421385, std values: 4.801864652788531, min values: 1.9161e-06, max values: 39.366, median values: 0.18228, and quantile values: 0.25 0.051265\n0.50 0.182280\n0.75 0.699710\nName: 6669, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3660043243987423, std values: 4.857114779877855, min values: 2.4635e-06, max values: 39.179, median values: 0.17211, and quantile values: 0.25 0.062032\n0.50 0.172110\n0.75 0.691550\nName: 6670, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.503649878228522, std values: 4.691974825048538, min values: 2.1435e-08, max values: 37.072, median values: 0.24654, and quantile values: 0.25 0.057123\n0.50 0.246540\n0.75 0.952400\nName: 6671, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3989120476981132, std values: 4.859166045613439, min values: 3.4838e-06, max values: 39.627, median values: 0.18688, and quantile values: 0.25 0.063356\n0.50 0.186880\n0.75 0.765770\nName: 6672, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2926650359957232, std values: 4.6999806949992795, min values: 2.4272e-07, max values: 37.678, median values: 0.15109, and quantile values: 0.25 0.042519\n0.50 0.151090\n0.75 0.698740\nName: 6673, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5568611171515725, std values: 4.9497179024643465, min values: 3.1911e-06, max values: 39.645, median values: 0.23612, and quantile values: 0.25 0.071420\n0.50 0.236120\n0.75 0.949895\nName: 6674, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7653961621276728, std values: 5.043246355122777, min values: 4.957e-06, max values: 40.158, median values: 0.31686, and quantile values: 0.25 0.084289\n0.50 0.316860\n0.75 1.232450\nName: 6675, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.376813930955849, std values: 4.761359803665391, min values: 5.0648e-07, max values: 37.899, median values: 0.18973, and quantile values: 0.25 0.050754\n0.50 0.189730\n0.75 0.822220\nName: 6676, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2993853632725785, std values: 4.970304042264263, min values: 6.6804e-07, max values: 41.717, median values: 0.15082, and quantile values: 0.25 0.041694\n0.50 0.150820\n0.75 0.710910\nName: 6677, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5431413799031446, std values: 4.888598398165248, min values: 6.259e-07, max values: 39.016, median values: 0.26052, and quantile values: 0.25 0.069019\n0.50 0.260520\n0.75 1.029960\nName: 6678, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4543270934100252, std values: 4.7362357478618735, min values: 3.1514e-08, max values: 37.428, median values: 0.19201, and quantile values: 0.25 0.046938\n0.50 0.192010\n0.75 0.892955\nName: 6679, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.269362313700629, std values: 4.706147319651439, min values: 4.392e-07, max values: 38.326, median values: 0.15428, and quantile values: 0.25 0.048988\n0.50 0.154280\n0.75 0.694495\nName: 6680, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.680321206997195, std values: 5.142325092148036, min values: 2.2454e-08, max values: 43.182, median values: 0.25145, and quantile values: 0.25 0.056402\n0.50 0.251450\n0.75 1.003825\nName: 6681, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4713901315220128, std values: 4.908467460216844, min values: 2.1418e-06, max values: 39.236, median values: 0.20174, and quantile values: 0.25 0.066214\n0.50 0.201740\n0.75 0.849560\nName: 6682, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4791375702132077, std values: 4.845073692153064, min values: 1.7868e-06, max values: 38.878, median values: 0.21869, and quantile values: 0.25 0.062460\n0.50 0.218690\n0.75 0.915775\nName: 6683, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.53719047656478, std values: 4.7299162277473785, min values: 2.9358e-06, max values: 39.817, median values: 0.23083, and quantile values: 0.25 0.076672\n0.50 0.230830\n0.75 0.949855\nName: 6684, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.493611015171069, std values: 5.214881544218415, min values: 1.1655e-06, max values: 45.203, median values: 0.1949, and quantile values: 0.25 0.057287\n0.50 0.194900\n0.75 0.866815\nName: 6685, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5103552321855345, std values: 4.93407513691131, min values: 2.4695e-06, max values: 39.525, median values: 0.24278, and quantile values: 0.25 0.072639\n0.50 0.242780\n0.75 0.905105\nName: 6686, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4366714823496856, std values: 4.759179893864752, min values: 1.725e-06, max values: 38.71, median values: 0.22393, and quantile values: 0.25 0.070933\n0.50 0.223930\n0.75 0.844455\nName: 6687, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6396417285056606, std values: 5.267964003868077, min values: 2.2601e-06, max values: 44.092, median values: 0.25081, and quantile values: 0.25 0.077169\n0.50 0.250810\n0.75 1.044900\nName: 6688, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5827767626518239, std values: 4.892008904988626, min values: 9.1904e-07, max values: 38.265, median values: 0.2686, and quantile values: 0.25 0.070124\n0.50 0.268600\n0.75 1.044000\nName: 6689, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6660022003924526, std values: 4.923827264961156, min values: 3.2717e-06, max values: 39.686, median values: 0.31759, and quantile values: 0.25 0.078549\n0.50 0.317590\n0.75 1.158700\nName: 6690, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6854230043106921, std values: 5.442147335394864, min values: 5.5301e-06, max values: 45.563, median values: 0.27778, and quantile values: 0.25 0.070362\n0.50 0.277780\n0.75 0.948540\nName: 6691, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3788152768815094, std values: 4.887217181717049, min values: 5.7756e-07, max values: 40.396, median values: 0.17302, and quantile values: 0.25 0.050523\n0.50 0.173020\n0.75 0.740885\nName: 6692, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3730533370767295, std values: 4.728930584740595, min values: 1.126e-06, max values: 38.169, median values: 0.21426, and quantile values: 0.25 0.062449\n0.50 0.214260\n0.75 0.778290\nName: 6693, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5099739378358492, std values: 4.917402019533157, min values: 1.6359e-06, max values: 39.047, median values: 0.21181, and quantile values: 0.25 0.062248\n0.50 0.211810\n0.75 0.966875\nName: 6694, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.536212181718868, std values: 4.8686951999428, min values: 1.9228e-06, max values: 38.212, median values: 0.25795, and quantile values: 0.25 0.075237\n0.50 0.257950\n0.75 1.002425\nName: 6695, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4478900625130817, std values: 5.016590064796637, min values: 4.4058e-07, max values: 42.782, median values: 0.1994, and quantile values: 0.25 0.063976\n0.50 0.199400\n0.75 0.803475\nName: 6696, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.563316895198742, std values: 5.113491589251191, min values: 1.7846e-06, max values: 42.059, median values: 0.23962, and quantile values: 0.25 0.071995\n0.50 0.239620\n0.75 0.970945\nName: 6697, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2537613464366038, std values: 4.485605090891639, min values: 5.9902e-07, max values: 38.305, median values: 0.14479, and quantile values: 0.25 0.048632\n0.50 0.144790\n0.75 0.702540\nName: 6698, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.56415933206478, std values: 5.138002500598117, min values: 1.0935e-06, max values: 43.441, median values: 0.24413, and quantile values: 0.25 0.063785\n0.50 0.244130\n0.75 0.929860\nName: 6699, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4274490870666667, std values: 4.9182310991492875, min values: 2.0541e-06, max values: 39.785, median values: 0.21333, and quantile values: 0.25 0.055925\n0.50 0.213330\n0.75 0.807805\nName: 6700, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3095005543937108, std values: 4.4815444654452214, min values: 1.0329e-06, max values: 38.409, median values: 0.20814, and quantile values: 0.25 0.060265\n0.50 0.208140\n0.75 0.795220\nName: 6701, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5673312677817612, std values: 5.142053363162651, min values: 5.7883e-06, max values: 41.067, median values: 0.24807, and quantile values: 0.25 0.075792\n0.50 0.248070\n0.75 0.877330\nName: 6702, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9470696541773584, std values: 5.451175594216388, min values: 5.527e-06, max values: 42.624, median values: 0.36606, and quantile values: 0.25 0.091382\n0.50 0.366060\n0.75 1.300650\nName: 6703, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.643856087380503, std values: 4.942151542869431, min values: 1.4556e-06, max values: 38.792, median values: 0.23101, and quantile values: 0.25 0.068216\n0.50 0.231010\n0.75 1.130900\nName: 6704, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4443367810654086, std values: 5.015663884306974, min values: 2.0082e-06, max values: 40.956, median values: 0.22941, and quantile values: 0.25 0.062873\n0.50 0.229410\n0.75 0.805080\nName: 6705, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5185208162119497, std values: 4.970873968855434, min values: 2.241e-06, max values: 39.377, median values: 0.26345, and quantile values: 0.25 0.065534\n0.50 0.263450\n0.75 0.991165\nName: 6706, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4768547287902516, std values: 4.747323010247261, min values: 8.5885e-07, max values: 37.67, median values: 0.20304, and quantile values: 0.25 0.060414\n0.50 0.203040\n0.75 0.902145\nName: 6707, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4048247600641506, std values: 4.845083575827261, min values: 1.2059e-06, max values: 38.876, median values: 0.20658, and quantile values: 0.25 0.060103\n0.50 0.206580\n0.75 0.823735\nName: 6708, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.376583906788805, std values: 4.826591230833012, min values: 2.8473e-07, max values: 39.753, median values: 0.17586, and quantile values: 0.25 0.049644\n0.50 0.175860\n0.75 0.734285\nName: 6709, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5306692599119496, std values: 4.886430152630153, min values: 2.0024e-06, max values: 38.673, median values: 0.2671, and quantile values: 0.25 0.079065\n0.50 0.267100\n0.75 0.954645\nName: 6710, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3312899208525786, std values: 4.784005913994192, min values: 7.7746e-07, max values: 38.43, median values: 0.15264, and quantile values: 0.25 0.052455\n0.50 0.152640\n0.75 0.745630\nName: 6711, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4523108144496857, std values: 5.040191102492837, min values: 1.3148e-06, max values: 40.813, median values: 0.21281, and quantile values: 0.25 0.057942\n0.50 0.212810\n0.75 0.884675\nName: 6712, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5043978827890565, std values: 4.989854677962497, min values: 7.4276e-07, max values: 41.144, median values: 0.22377, and quantile values: 0.25 0.063080\n0.50 0.223770\n0.75 0.974675\nName: 6713, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3710804740403773, std values: 4.894710160985199, min values: 1.578e-08, max values: 41.573, median values: 0.18187, and quantile values: 0.25 0.042944\n0.50 0.181870\n0.75 0.808950\nName: 6714, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2652577323178367, std values: 4.3885605523173545, min values: 2.8386e-08, max values: 37.237, median values: 0.17199, and quantile values: 0.25 0.046071\n0.50 0.171990\n0.75 0.708980\nName: 6715, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.393718493473585, std values: 4.925190958793939, min values: 3.5189e-06, max values: 40.34, median values: 0.20098, and quantile values: 0.25 0.058660\n0.50 0.200980\n0.75 0.711305\nName: 6716, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3605718061295595, std values: 4.521739425701888, min values: 5.212e-07, max values: 37.784, median values: 0.20469, and quantile values: 0.25 0.058175\n0.50 0.204690\n0.75 0.837165\nName: 6717, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6062913311194968, std values: 5.259740743319863, min values: 2.3752e-06, max values: 44.002, median values: 0.26787, and quantile values: 0.25 0.062541\n0.50 0.267870\n0.75 0.947865\nName: 6718, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3579594949648426, std values: 5.016287287908059, min values: 7.6221e-07, max values: 42.166, median values: 0.18924, and quantile values: 0.25 0.052783\n0.50 0.189240\n0.75 0.744790\nName: 6719, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4223469219320755, std values: 5.040070621724037, min values: 2.8944e-06, max values: 41.016, median values: 0.2172, and quantile values: 0.25 0.056035\n0.50 0.217200\n0.75 0.825480\nName: 6720, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5263191171993709, std values: 5.042847310893081, min values: 2.2492e-06, max values: 40.582, median values: 0.23073, and quantile values: 0.25 0.070078\n0.50 0.230730\n0.75 0.908355\nName: 6721, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5027822800573585, std values: 4.773826089056559, min values: 8.6582e-07, max values: 38.257, median values: 0.2313, and quantile values: 0.25 0.054311\n0.50 0.231300\n0.75 0.992750\nName: 6722, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4615126786320756, std values: 5.088364497737884, min values: 3.3966e-06, max values: 40.993, median values: 0.215, and quantile values: 0.25 0.058827\n0.50 0.215000\n0.75 0.781045\nName: 6723, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.66261605118239, std values: 5.4881384845315875, min values: 1.4164e-06, max values: 48.948, median values: 0.24095, and quantile values: 0.25 0.068745\n0.50 0.240950\n0.75 0.986875\nName: 6724, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3829862176620256, std values: 4.677856113939352, min values: 1.7362e-08, max values: 37.299, median values: 0.17673, and quantile values: 0.25 0.047363\n0.50 0.176730\n0.75 0.787715\nName: 6725, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6897859650993585, std values: 5.4227212013427355, min values: 2.4398e-08, max values: 48.065, median values: 0.24723, and quantile values: 0.25 0.056552\n0.50 0.247230\n0.75 1.111600\nName: 6726, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3306937303207547, std values: 4.6247872890231525, min values: 2.0188e-06, max values: 39.251, median values: 0.17719, and quantile values: 0.25 0.053815\n0.50 0.177190\n0.75 0.745725\nName: 6727, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4722642528868553, std values: 4.974240020236236, min values: 7.4571e-07, max values: 40.609, median values: 0.20412, and quantile values: 0.25 0.059937\n0.50 0.204120\n0.75 0.859175\nName: 6728, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6454297233660378, std values: 5.031525552103231, min values: 2.5347e-06, max values: 39.436, median values: 0.28881, and quantile values: 0.25 0.078561\n0.50 0.288810\n0.75 1.052550\nName: 6729, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4862896963509435, std values: 5.045154658214406, min values: 2.1673e-06, max values: 41.578, median values: 0.21883, and quantile values: 0.25 0.062365\n0.50 0.218830\n0.75 0.865820\nName: 6730, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5887063259635221, std values: 4.727612645010085, min values: 1.5407e-06, max values: 38.61, median values: 0.29343, and quantile values: 0.25 0.075085\n0.50 0.293430\n0.75 1.095650\nName: 6731, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.511025449254088, std values: 4.7143007932034156, min values: 1.8617e-06, max values: 39.041, median values: 0.24578, and quantile values: 0.25 0.071561\n0.50 0.245780\n0.75 0.939920\nName: 6732, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.301956167564654, std values: 4.601817031110889, min values: 5.1698e-07, max values: 37.068, median values: 0.15782, and quantile values: 0.25 0.056057\n0.50 0.157820\n0.75 0.763920\nName: 6733, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3244476851456413, std values: 4.594210620189267, min values: 2.7807e-08, max values: 36.157, median values: 0.18047, and quantile values: 0.25 0.044581\n0.50 0.180470\n0.75 0.748240\nName: 6734, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4272050668278238, std values: 4.84297196457208, min values: 1.8424e-08, max values: 39.194, median values: 0.21274, and quantile values: 0.25 0.057587\n0.50 0.212740\n0.75 0.852040\nName: 6735, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6402993809761004, std values: 5.224416743646618, min values: 2.1742e-06, max values: 43.614, median values: 0.21088, and quantile values: 0.25 0.055370\n0.50 0.210880\n0.75 0.987695\nName: 6736, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5884328086798742, std values: 5.0238705691680465, min values: 3.7555e-06, max values: 40.537, median values: 0.24988, and quantile values: 0.25 0.071148\n0.50 0.249880\n0.75 0.967595\nName: 6737, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3288137482334466, std values: 4.489090652899755, min values: 6.1878e-08, max values: 35.317, median values: 0.13396, and quantile values: 0.25 0.027941\n0.50 0.133960\n0.75 0.734930\nName: 6738, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6395343766767296, std values: 5.049941039424557, min values: 1.2108e-06, max values: 41.049, median values: 0.2817, and quantile values: 0.25 0.075396\n0.50 0.281700\n0.75 1.119050\nName: 6739, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4219111520715721, std values: 4.862992938454901, min values: 8.5908e-07, max values: 39.42, median values: 0.21072, and quantile values: 0.25 0.066449\n0.50 0.210720\n0.75 0.848330\nName: 6740, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5675514947849056, std values: 5.040812227656005, min values: 2.5114e-06, max values: 39.866, median values: 0.26505, and quantile values: 0.25 0.069817\n0.50 0.265050\n0.75 0.958545\nName: 6741, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4323958330730815, std values: 4.87645710997084, min values: 4.1242e-07, max values: 39.227, median values: 0.22192, and quantile values: 0.25 0.051171\n0.50 0.221920\n0.75 0.859345\nName: 6742, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3873215448883018, std values: 4.918687505985515, min values: 1.5705e-07, max values: 41.858, median values: 0.19243, and quantile values: 0.25 0.057055\n0.50 0.192430\n0.75 0.778320\nName: 6743, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5433679524533963, std values: 4.860629172275689, min values: 6.9959e-07, max values: 38.212, median values: 0.27231, and quantile values: 0.25 0.071855\n0.50 0.272310\n0.75 1.000235\nName: 6744, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8790261057792452, std values: 5.4288964996982, min values: 5.9019e-06, max values: 41.703, median values: 0.32324, and quantile values: 0.25 0.091955\n0.50 0.323240\n0.75 1.224800\nName: 6745, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3859396775125787, std values: 4.892640874835348, min values: 1.2623e-06, max values: 39.829, median values: 0.18688, and quantile values: 0.25 0.058117\n0.50 0.186880\n0.75 0.777750\nName: 6746, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5961492111779874, std values: 4.955209574931293, min values: 3.3416e-06, max values: 40.164, median values: 0.24676, and quantile values: 0.25 0.071968\n0.50 0.246760\n0.75 1.026750\nName: 6747, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7316879641874212, std values: 5.205102489782129, min values: 4.0436e-06, max values: 41.851, median values: 0.27955, and quantile values: 0.25 0.085939\n0.50 0.279550\n0.75 1.173000\nName: 6748, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.611629808518239, std values: 5.1667769326124295, min values: 2.3495e-06, max values: 42.281, median values: 0.28252, and quantile values: 0.25 0.070461\n0.50 0.282520\n0.75 0.979775\nName: 6749, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6199946012880502, std values: 5.136271551968625, min values: 1.6148e-06, max values: 42.458, median values: 0.23773, and quantile values: 0.25 0.070512\n0.50 0.237730\n0.75 1.064850\nName: 6750, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7137865120886793, std values: 5.1468794534442495, min values: 6.5296e-06, max values: 40.613, median values: 0.27315, and quantile values: 0.25 0.077615\n0.50 0.273150\n0.75 1.120600\nName: 6751, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3845223555993709, std values: 4.854806664607327, min values: 3.8235e-06, max values: 40.717, median values: 0.20654, and quantile values: 0.25 0.066737\n0.50 0.206540\n0.75 0.760605\nName: 6752, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6940831073597482, std values: 5.08448419447914, min values: 2.1263e-06, max values: 40.287, median values: 0.28802, and quantile values: 0.25 0.081335\n0.50 0.288020\n0.75 1.149300\nName: 6753, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2959702098232704, std values: 4.557579955920024, min values: 1.1315e-06, max values: 38.607, median values: 0.16779, and quantile values: 0.25 0.057135\n0.50 0.167790\n0.75 0.701925\nName: 6754, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4262433921621385, std values: 4.785727451523477, min values: 9.5628e-07, max values: 38.919, median values: 0.22464, and quantile values: 0.25 0.059404\n0.50 0.224640\n0.75 0.846695\nName: 6755, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6822445766962264, std values: 4.976469886172867, min values: 3.8424e-06, max values: 40.633, median values: 0.32326, and quantile values: 0.25 0.081358\n0.50 0.323260\n0.75 1.069700\nName: 6756, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.347081539737736, std values: 4.727359151318856, min values: 1.2796e-06, max values: 38.823, median values: 0.18791, and quantile values: 0.25 0.058333\n0.50 0.187910\n0.75 0.777180\nName: 6757, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5514860725779875, std values: 4.826438258086189, min values: 2.4005e-06, max values: 38.956, median values: 0.25779, and quantile values: 0.25 0.078405\n0.50 0.257790\n0.75 0.985340\nName: 6758, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.781077014167736, std values: 5.066028235401261, min values: 2.1137e-07, max values: 39.585, median values: 0.31277, and quantile values: 0.25 0.08188\n0.50 0.31277\n0.75 1.23760\nName: 6759, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4680650451757862, std values: 5.022368239592462, min values: 4.9505e-07, max values: 42.465, median values: 0.18965, and quantile values: 0.25 0.051751\n0.50 0.189650\n0.75 0.913500\nName: 6760, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.456598359045346, std values: 4.7717032051224155, min values: 2.918e-08, max values: 38.347, median values: 0.1892, and quantile values: 0.25 0.05165\n0.50 0.18920\n0.75 0.88588\nName: 6761, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4271827538132076, std values: 4.891927642345612, min values: 3.038e-06, max values: 39.735, median values: 0.19857, and quantile values: 0.25 0.059838\n0.50 0.198570\n0.75 0.802160\nName: 6762, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3881098327406918, std values: 4.89429866617075, min values: 7.8377e-07, max values: 39.908, median values: 0.1762, and quantile values: 0.25 0.052848\n0.50 0.176200\n0.75 0.781880\nName: 6763, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3617170713410691, std values: 4.875414666551942, min values: 1.7093e-07, max values: 40.607, median values: 0.16242, and quantile values: 0.25 0.046069\n0.50 0.162420\n0.75 0.730715\nName: 6764, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.35300541795956, std values: 4.625154260074823, min values: 4.0317e-07, max values: 37.59, median values: 0.22395, and quantile values: 0.25 0.064386\n0.50 0.223950\n0.75 0.805925\nName: 6765, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5031735774867925, std values: 4.987904641083642, min values: 2.8331e-06, max values: 40.001, median values: 0.24056, and quantile values: 0.25 0.063932\n0.50 0.240560\n0.75 0.871910\nName: 6766, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7262066396949685, std values: 5.074790502381225, min values: 1.2724e-06, max values: 40.823, median values: 0.31491, and quantile values: 0.25 0.083462\n0.50 0.314910\n0.75 1.216050\nName: 6767, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.600522985445912, std values: 5.0460838645595425, min values: 2.8994e-06, max values: 39.904, median values: 0.26358, and quantile values: 0.25 0.071868\n0.50 0.263580\n0.75 0.979160\nName: 6768, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3672262623564087, std values: 4.742064909878799, min values: 2.0893e-08, max values: 39.147, median values: 0.20005, and quantile values: 0.25 0.043846\n0.50 0.200050\n0.75 0.770275\nName: 6769, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2542227194347169, std values: 4.781710409725235, min values: 3.6272e-07, max values: 40.039, median values: 0.14996, and quantile values: 0.25 0.045953\n0.50 0.149960\n0.75 0.646945\nName: 6770, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4558265319625154, std values: 4.689260100652861, min values: 1.5774e-07, max values: 37.163, median values: 0.21153, and quantile values: 0.25 0.052852\n0.50 0.211530\n0.75 0.931615\nName: 6771, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2477410672698743, std values: 4.572660907530658, min values: 1.5741e-07, max values: 36.528, median values: 0.14246, and quantile values: 0.25 0.034181\n0.50 0.142460\n0.75 0.639750\nName: 6772, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4267629308723269, std values: 4.768740250676401, min values: 1.4708e-06, max values: 38.019, median values: 0.20534, and quantile values: 0.25 0.067048\n0.50 0.205340\n0.75 0.821230\nName: 6773, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.445480165464151, std values: 5.0824835139802005, min values: 2.585e-06, max values: 41.578, median values: 0.20395, and quantile values: 0.25 0.065052\n0.50 0.203950\n0.75 0.794225\nName: 6774, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.466421817946541, std values: 5.0233145386973215, min values: 4.275e-07, max values: 43.258, median values: 0.21684, and quantile values: 0.25 0.051521\n0.50 0.216840\n0.75 0.819215\nName: 6775, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4764012358497485, std values: 4.785380157494595, min values: 7.4051e-07, max values: 37.906, median values: 0.17989, and quantile values: 0.25 0.057177\n0.50 0.179890\n0.75 0.869155\nName: 6776, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4586111362937106, std values: 5.002928444293337, min values: 1.5077e-06, max values: 41.484, median values: 0.20976, and quantile values: 0.25 0.07102\n0.50 0.20976\n0.75 0.86581\nName: 6777, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3124080887861007, std values: 4.644543178149101, min values: 5.5529e-07, max values: 36.99, median values: 0.15561, and quantile values: 0.25 0.047542\n0.50 0.155610\n0.75 0.730275\nName: 6778, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2822484370119496, std values: 4.750823834317483, min values: 2.5007e-06, max values: 40.077, median values: 0.18882, and quantile values: 0.25 0.051817\n0.50 0.188820\n0.75 0.666290\nName: 6779, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4592403911427045, std values: 4.86880403075026, min values: 5.6164e-07, max values: 40.584, median values: 0.18454, and quantile values: 0.25 0.043481\n0.50 0.184540\n0.75 0.830075\nName: 6780, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5635125891364778, std values: 4.810572278591868, min values: 2.1541e-06, max values: 39.948, median values: 0.28135, and quantile values: 0.25 0.078151\n0.50 0.281350\n0.75 0.961695\nName: 6781, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.557167797136981, std values: 5.047363681543684, min values: 6.3238e-07, max values: 42.035, median values: 0.21234, and quantile values: 0.25 0.061182\n0.50 0.212340\n0.75 0.900445\nName: 6782, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4601324079257232, std values: 4.873893120640027, min values: 8.9989e-07, max values: 39.0, median values: 0.21898, and quantile values: 0.25 0.063369\n0.50 0.218980\n0.75 0.872970\nName: 6783, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5322981860905662, std values: 5.218436154700428, min values: 1.3244e-06, max values: 45.128, median values: 0.20551, and quantile values: 0.25 0.060275\n0.50 0.205510\n0.75 0.957775\nName: 6784, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4754192120864782, std values: 5.0918031696196575, min values: 3.3631e-07, max values: 44.605, median values: 0.22584, and quantile values: 0.25 0.056010\n0.50 0.225840\n0.75 0.817175\nName: 6785, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5484260245779875, std values: 4.984672857553535, min values: 1.2869e-06, max values: 39.907, median values: 0.21304, and quantile values: 0.25 0.065133\n0.50 0.213040\n0.75 1.004645\nName: 6786, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3633264857227672, std values: 4.821630341924393, min values: 8.8672e-07, max values: 39.201, median values: 0.16888, and quantile values: 0.25 0.052961\n0.50 0.168880\n0.75 0.761760\nName: 6787, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1885902679626918, std values: 4.481262461023584, min values: 1.1925e-08, max values: 35.445, median values: 0.11129, and quantile values: 0.25 0.020888\n0.50 0.111290\n0.75 0.602390\nName: 6788, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3963282514597484, std values: 4.79004138182088, min values: 1.4422e-06, max values: 39.068, median values: 0.20044, and quantile values: 0.25 0.065528\n0.50 0.200440\n0.75 0.836355\nName: 6789, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.779668116618868, std values: 5.116337336761811, min values: 3.4367e-06, max values: 39.895, median values: 0.30477, and quantile values: 0.25 0.081642\n0.50 0.304770\n0.75 1.275700\nName: 6790, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1854690324662265, std values: 4.58527032159218, min values: 6.5703e-07, max values: 37.319, median values: 0.14805, and quantile values: 0.25 0.048760\n0.50 0.148050\n0.75 0.577745\nName: 6791, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4155037286842138, std values: 4.651673306553956, min values: 1.2353e-07, max values: 36.858, median values: 0.19553, and quantile values: 0.25 0.052341\n0.50 0.195530\n0.75 0.883150\nName: 6792, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5288602408339624, std values: 5.050977037485168, min values: 2.3642e-06, max values: 40.612, median values: 0.22844, and quantile values: 0.25 0.071844\n0.50 0.228440\n0.75 0.908935\nName: 6793, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6127020685974842, std values: 5.197397654979072, min values: 3.2983e-06, max values: 43.051, median values: 0.25094, and quantile values: 0.25 0.069987\n0.50 0.250940\n0.75 0.999255\nName: 6794, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5704258916231444, std values: 4.875366634279292, min values: 2.9808e-07, max values: 38.793, median values: 0.24417, and quantile values: 0.25 0.064210\n0.50 0.244170\n0.75 1.001135\nName: 6795, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5360237917719497, std values: 4.889977948066785, min values: 8.3404e-07, max values: 39.711, median values: 0.27327, and quantile values: 0.25 0.063595\n0.50 0.273270\n0.75 0.988470\nName: 6796, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.419292589496855, std values: 4.866389964936836, min values: 1.0639e-06, max values: 38.853, median values: 0.19179, and quantile values: 0.25 0.062463\n0.50 0.191790\n0.75 0.815315\nName: 6797, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2761211861257546, std values: 4.721443301212368, min values: 2.6885e-08, max values: 39.699, median values: 0.16199, and quantile values: 0.25 0.040515\n0.50 0.161990\n0.75 0.623135\nName: 6798, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.39656980807478, std values: 5.0025915687599785, min values: 5.1129e-07, max values: 42.092, median values: 0.17651, and quantile values: 0.25 0.053327\n0.50 0.176510\n0.75 0.779080\nName: 6799, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.526865311401258, std values: 4.752593593912903, min values: 3.1163e-06, max values: 39.168, median values: 0.27118, and quantile values: 0.25 0.075932\n0.50 0.271180\n0.75 0.936725\nName: 6800, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4623477511326417, std values: 4.898290833994954, min values: 0.0, max values: 39.92, median values: 0.20295, and quantile values: 0.25 0.05565\n0.50 0.20295\n0.75 0.84783\nName: 6801, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4941679298696227, std values: 4.989263098493056, min values: 9.6017e-07, max values: 41.67, median values: 0.21149, and quantile values: 0.25 0.061982\n0.50 0.211490\n0.75 0.944485\nName: 6802, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3955226940100631, std values: 4.829456479035452, min values: 1.2628e-06, max values: 39.361, median values: 0.19553, and quantile values: 0.25 0.056330\n0.50 0.195530\n0.75 0.852215\nName: 6803, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3278752602137107, std values: 4.8484324805053465, min values: 3.3218e-07, max values: 41.027, median values: 0.17535, and quantile values: 0.25 0.045717\n0.50 0.175350\n0.75 0.675830\nName: 6804, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4551767793226413, std values: 4.908631420778878, min values: 2.4853e-06, max values: 39.93, median values: 0.25129, and quantile values: 0.25 0.064621\n0.50 0.251290\n0.75 0.854410\nName: 6805, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4204418515317232, std values: 4.732419884828697, min values: 8.4084e-08, max values: 38.237, median values: 0.17474, and quantile values: 0.25 0.042502\n0.50 0.174740\n0.75 0.756280\nName: 6806, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.135333109722893, std values: 4.654077983314745, min values: 6.9094e-07, max values: 38.423, median values: 0.12658, and quantile values: 0.25 0.040918\n0.50 0.126580\n0.75 0.520390\nName: 6807, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4881942214516979, std values: 5.048803772675826, min values: 4.0442e-07, max values: 43.24, median values: 0.20239, and quantile values: 0.25 0.062876\n0.50 0.202390\n0.75 0.934535\nName: 6808, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4244808380528302, std values: 5.036946318049379, min values: 2.8819e-06, max values: 40.753, median values: 0.20274, and quantile values: 0.25 0.063366\n0.50 0.202740\n0.75 0.790845\nName: 6809, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4895225510685535, std values: 4.918193516276486, min values: 1.8977e-06, max values: 39.202, median values: 0.20706, and quantile values: 0.25 0.067816\n0.50 0.207060\n0.75 0.914035\nName: 6810, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6345567827346228, std values: 4.839694252102602, min values: 3.9505e-08, max values: 37.738, median values: 0.24808, and quantile values: 0.25 0.05959\n0.50 0.24808\n0.75 1.13905\nName: 6811, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6929680899899369, std values: 5.111658777688122, min values: 4.1169e-06, max values: 39.835, median values: 0.29678, and quantile values: 0.25 0.090446\n0.50 0.296780\n0.75 1.081350\nName: 6812, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4996389230068932, std values: 4.935749996919435, min values: 1.8346e-08, max values: 42.076, median values: 0.19652, and quantile values: 0.25 0.046768\n0.50 0.196520\n0.75 0.899165\nName: 6813, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3990578510069183, std values: 4.727044090287784, min values: 1.9968e-06, max values: 39.531, median values: 0.21914, and quantile values: 0.25 0.054551\n0.50 0.219140\n0.75 0.855800\nName: 6814, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6508282551696665, std values: 5.031980577389177, min values: 2.2087e-08, max values: 42.148, median values: 0.26828, and quantile values: 0.25 0.062728\n0.50 0.268280\n0.75 1.055800\nName: 6815, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8281812208125783, std values: 5.223085179411032, min values: 1.3832e-06, max values: 42.751, median values: 0.35582, and quantile values: 0.25 0.092887\n0.50 0.355820\n0.75 1.311400\nName: 6816, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3656118219415094, std values: 4.849929365111455, min values: 1.7424e-06, max values: 39.016, median values: 0.19706, and quantile values: 0.25 0.057768\n0.50 0.197060\n0.75 0.761895\nName: 6817, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4994606386660376, std values: 4.906014875531016, min values: 2.196e-06, max values: 38.814, median values: 0.26485, and quantile values: 0.25 0.071589\n0.50 0.264850\n0.75 0.911175\nName: 6818, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.546535880004025, std values: 4.984812221856913, min values: 4.3804e-07, max values: 41.193, median values: 0.2431, and quantile values: 0.25 0.070229\n0.50 0.243100\n0.75 0.940395\nName: 6819, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5675401033874214, std values: 4.806032797468977, min values: 1.4096e-06, max values: 38.99, median values: 0.2268, and quantile values: 0.25 0.075039\n0.50 0.226800\n0.75 0.995990\nName: 6820, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4559046797233333, std values: 4.9944156790572, min values: 8.5551e-07, max values: 41.309, median values: 0.21869, and quantile values: 0.25 0.063322\n0.50 0.218690\n0.75 0.860345\nName: 6821, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4855025327000628, std values: 4.902655618267781, min values: 6.9641e-07, max values: 39.455, median values: 0.22936, and quantile values: 0.25 0.065439\n0.50 0.229360\n0.75 0.949635\nName: 6822, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4593133769295599, std values: 4.935158600465198, min values: 2.2076e-06, max values: 40.144, median values: 0.23771, and quantile values: 0.25 0.06764\n0.50 0.23771\n0.75 0.85974\nName: 6823, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7774542454213837, std values: 5.167240633037529, min values: 9.361e-06, max values: 42.124, median values: 0.276, and quantile values: 0.25 0.084617\n0.50 0.276000\n0.75 1.171900\nName: 6824, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6540287623748429, std values: 5.300448325998551, min values: 3.6345e-06, max values: 45.211, median values: 0.28196, and quantile values: 0.25 0.084686\n0.50 0.281960\n0.75 1.089300\nName: 6825, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.645694995525157, std values: 5.132143817341214, min values: 1.4676e-06, max values: 41.99, median values: 0.26371, and quantile values: 0.25 0.064934\n0.50 0.263710\n0.75 1.062700\nName: 6826, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.349844418199937, std values: 4.865441299865186, min values: 3.9709e-07, max values: 40.517, median values: 0.1705, and quantile values: 0.25 0.051545\n0.50 0.170500\n0.75 0.719925\nName: 6827, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.384421731768805, std values: 4.7794464199617135, min values: 5.3444e-07, max values: 38.978, median values: 0.17623, and quantile values: 0.25 0.054203\n0.50 0.176230\n0.75 0.783605\nName: 6828, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5174694954515722, std values: 5.049120805586353, min values: 2.3291e-06, max values: 40.995, median values: 0.24781, and quantile values: 0.25 0.064222\n0.50 0.247810\n0.75 0.918920\nName: 6829, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5491051250786165, std values: 5.258805376278887, min values: 2.6977e-06, max values: 44.73, median values: 0.2356, and quantile values: 0.25 0.061784\n0.50 0.235600\n0.75 0.989540\nName: 6830, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4898627816228303, std values: 4.796607227287129, min values: 3.6123e-07, max values: 38.477, median values: 0.20651, and quantile values: 0.25 0.063634\n0.50 0.206510\n0.75 0.966880\nName: 6831, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3159447689563522, std values: 4.813227617469068, min values: 3.5806e-07, max values: 39.729, median values: 0.18311, and quantile values: 0.25 0.053130\n0.50 0.183110\n0.75 0.662115\nName: 6832, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4821749139647797, std values: 4.9117082653858075, min values: 1.347e-06, max values: 39.132, median values: 0.21092, and quantile values: 0.25 0.065495\n0.50 0.210920\n0.75 0.909900\nName: 6833, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4937718569647798, std values: 4.925571616906311, min values: 3.2417e-06, max values: 39.203, median values: 0.22368, and quantile values: 0.25 0.060552\n0.50 0.223680\n0.75 0.878465\nName: 6834, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4327585022592453, std values: 4.664631784469711, min values: 8.3132e-07, max values: 38.16, median values: 0.24824, and quantile values: 0.25 0.061072\n0.50 0.248240\n0.75 0.924750\nName: 6835, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7033981929207545, std values: 5.250396630181524, min values: 2.9405e-06, max values: 43.549, median values: 0.28144, and quantile values: 0.25 0.07666\n0.50 0.28144\n0.75 1.21200\nName: 6836, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5078786721901887, std values: 4.836873270174398, min values: 7.6464e-07, max values: 38.019, median values: 0.22873, and quantile values: 0.25 0.056567\n0.50 0.228730\n0.75 0.936285\nName: 6837, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3988837330547172, std values: 4.692132401762256, min values: 1.4743e-06, max values: 38.16, median values: 0.22925, and quantile values: 0.25 0.058719\n0.50 0.229250\n0.75 0.856570\nName: 6838, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6678064511578616, std values: 5.2379560597812045, min values: 1.3676e-06, max values: 44.101, median values: 0.27528, and quantile values: 0.25 0.075623\n0.50 0.275280\n0.75 1.101400\nName: 6839, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5021622990754717, std values: 4.980694859410483, min values: 2.6855e-06, max values: 39.797, median values: 0.25182, and quantile values: 0.25 0.067542\n0.50 0.251820\n0.75 0.972085\nName: 6840, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2600688955906918, std values: 4.716248203071221, min values: 7.0882e-07, max values: 37.971, median values: 0.15904, and quantile values: 0.25 0.052235\n0.50 0.159040\n0.75 0.680795\nName: 6841, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2288185150540882, std values: 4.400562648831214, min values: 8.713e-07, max values: 37.93, median values: 0.17565, and quantile values: 0.25 0.054591\n0.50 0.175650\n0.75 0.743035\nName: 6842, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7499785170150945, std values: 5.142712914227287, min values: 3.8071e-06, max values: 40.15, median values: 0.30187, and quantile values: 0.25 0.091272\n0.50 0.301870\n0.75 1.174950\nName: 6843, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1976222955648428, std values: 4.5095974756133455, min values: 7.0211e-07, max values: 37.678, median values: 0.14109, and quantile values: 0.25 0.042229\n0.50 0.141090\n0.75 0.598725\nName: 6844, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6467738013144655, std values: 5.145807897181486, min values: 2.4427e-06, max values: 41.546, median values: 0.26136, and quantile values: 0.25 0.077821\n0.50 0.261360\n0.75 1.066000\nName: 6845, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4475076598528303, std values: 4.6338556762250835, min values: 1.1442e-06, max values: 37.438, median values: 0.20111, and quantile values: 0.25 0.065070\n0.50 0.201110\n0.75 0.838425\nName: 6846, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5653881472327045, std values: 4.865268836188679, min values: 1.4675e-06, max values: 38.806, median values: 0.27825, and quantile values: 0.25 0.066388\n0.50 0.278250\n0.75 0.941165\nName: 6847, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4515298494981763, std values: 4.811511710998365, min values: 5.4011e-07, max values: 38.699, median values: 0.19979, and quantile values: 0.25 0.064306\n0.50 0.199790\n0.75 0.888095\nName: 6848, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5765932819509432, std values: 4.85913581335868, min values: 1.1536e-06, max values: 38.338, median values: 0.28903, and quantile values: 0.25 0.061922\n0.50 0.289030\n0.75 1.092400\nName: 6849, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2265379037230817, std values: 4.59164261449659, min values: 6.0137e-07, max values: 37.647, median values: 0.15836, and quantile values: 0.25 0.053514\n0.50 0.158360\n0.75 0.598450\nName: 6850, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7329682728654086, std values: 5.189536595615772, min values: 3.4018e-06, max values: 40.671, median values: 0.30774, and quantile values: 0.25 0.072091\n0.50 0.307740\n0.75 1.167750\nName: 6851, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6371898906465407, std values: 5.029319671108202, min values: 2.6219e-06, max values: 39.857, median values: 0.26543, and quantile values: 0.25 0.076463\n0.50 0.265430\n0.75 1.081750\nName: 6852, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4968029869327044, std values: 4.797021503372246, min values: 4.855e-07, max values: 38.112, median values: 0.20875, and quantile values: 0.25 0.058258\n0.50 0.208750\n0.75 0.914095\nName: 6853, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3094418453475658, std values: 4.744279768349947, min values: 1.3199e-08, max values: 40.159, median values: 0.12553, and quantile values: 0.25 0.027897\n0.50 0.125530\n0.75 0.675490\nName: 6854, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5154056972761005, std values: 4.8867536185425005, min values: 2.3798e-06, max values: 39.394, median values: 0.25303, and quantile values: 0.25 0.072719\n0.50 0.253030\n0.75 0.884685\nName: 6855, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4783268961144653, std values: 4.946521364920872, min values: 1.5483e-06, max values: 39.637, median values: 0.25247, and quantile values: 0.25 0.071029\n0.50 0.252470\n0.75 0.945645\nName: 6856, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6324802213981129, std values: 5.086074928977843, min values: 2.9102e-06, max values: 40.413, median values: 0.26428, and quantile values: 0.25 0.075056\n0.50 0.264280\n0.75 1.033685\nName: 6857, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4019636423113209, std values: 4.666912427900057, min values: 1.5946e-06, max values: 38.268, median values: 0.18752, and quantile values: 0.25 0.052338\n0.50 0.187520\n0.75 0.836280\nName: 6858, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7719938335106917, std values: 5.1708704780323504, min values: 3.0157e-06, max values: 40.299, median values: 0.3067, and quantile values: 0.25 0.085005\n0.50 0.306700\n0.75 1.240100\nName: 6859, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4989808673666667, std values: 4.611332068531468, min values: 1.4037e-06, max values: 38.311, median values: 0.21217, and quantile values: 0.25 0.057722\n0.50 0.212170\n0.75 0.948435\nName: 6860, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1364589098754718, std values: 4.595545855732429, min values: 1.4282e-06, max values: 38.954, median values: 0.12723, and quantile values: 0.25 0.047460\n0.50 0.127230\n0.75 0.482885\nName: 6861, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3281449566227044, std values: 4.628378266867996, min values: 9.6931e-07, max values: 38.475, median values: 0.19717, and quantile values: 0.25 0.057085\n0.50 0.197170\n0.75 0.771395\nName: 6862, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6515834330930819, std values: 5.0529727469343095, min values: 2.3277e-06, max values: 40.076, median values: 0.28818, and quantile values: 0.25 0.071802\n0.50 0.288180\n0.75 1.116000\nName: 6863, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3911267800012577, std values: 4.747800035766875, min values: 1.059e-06, max values: 38.183, median values: 0.19408, and quantile values: 0.25 0.054786\n0.50 0.194080\n0.75 0.768225\nName: 6864, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4640556136914782, std values: 4.937674888195972, min values: 2.3785e-08, max values: 42.028, median values: 0.17766, and quantile values: 0.25 0.048371\n0.50 0.177660\n0.75 0.904600\nName: 6865, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8233097501245283, std values: 5.1248132778197, min values: 1.6419e-06, max values: 39.91, median values: 0.33682, and quantile values: 0.25 0.08858\n0.50 0.33682\n0.75 1.26035\nName: 6866, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3696072074616354, std values: 5.096942560099348, min values: 2.1027e-06, max values: 42.361, median values: 0.19167, and quantile values: 0.25 0.059619\n0.50 0.191670\n0.75 0.699595\nName: 6867, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6898690756647798, std values: 5.255428021783384, min values: 2.7492e-06, max values: 43.136, median values: 0.2811, and quantile values: 0.25 0.085385\n0.50 0.281100\n0.75 1.105900\nName: 6868, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.312894063992453, std values: 4.874603679655283, min values: 1.5526e-06, max values: 40.38, median values: 0.1905, and quantile values: 0.25 0.056005\n0.50 0.190500\n0.75 0.684370\nName: 6869, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3807386234031447, std values: 5.207801022336452, min values: 3.0561e-06, max values: 43.997, median values: 0.19485, and quantile values: 0.25 0.059925\n0.50 0.194850\n0.75 0.681855\nName: 6870, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5075368641138365, std values: 5.2996721982069, min values: 1.977e-06, max values: 46.511, median values: 0.22187, and quantile values: 0.25 0.069443\n0.50 0.221870\n0.75 0.849905\nName: 6871, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.435293237965346, std values: 5.176178783448976, min values: 1.835e-08, max values: 46.006, median values: 0.17766, and quantile values: 0.25 0.045931\n0.50 0.177660\n0.75 0.786000\nName: 6872, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4086486846490567, std values: 4.698135204310759, min values: 8.43e-07, max values: 37.636, median values: 0.23399, and quantile values: 0.25 0.059814\n0.50 0.233990\n0.75 0.855210\nName: 6873, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5552605897432705, std values: 5.051792018056013, min values: 8.2698e-07, max values: 42.083, median values: 0.22996, and quantile values: 0.25 0.070429\n0.50 0.229960\n0.75 0.969910\nName: 6874, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4969147124415725, std values: 5.149791702572833, min values: 8.4181e-07, max values: 44.662, median values: 0.20475, and quantile values: 0.25 0.059816\n0.50 0.204750\n0.75 0.784210\nName: 6875, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5537056331056605, std values: 4.88380157614245, min values: 1.3922e-06, max values: 39.185, median values: 0.24689, and quantile values: 0.25 0.065822\n0.50 0.246890\n0.75 1.019450\nName: 6876, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6628397044672956, std values: 5.249438494798994, min values: 1.9442e-06, max values: 44.212, median values: 0.25614, and quantile values: 0.25 0.076902\n0.50 0.256140\n0.75 1.087250\nName: 6877, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5956333814916228, std values: 4.916148016521998, min values: 3.6988e-08, max values: 40.027, median values: 0.22993, and quantile values: 0.25 0.058319\n0.50 0.229930\n0.75 1.028250\nName: 6878, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4673124909075472, std values: 4.862500603817421, min values: 1.2876e-06, max values: 38.875, median values: 0.23662, and quantile values: 0.25 0.059065\n0.50 0.236620\n0.75 0.923225\nName: 6879, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3865911479679245, std values: 4.864930168756183, min values: 1.0116e-06, max values: 39.473, median values: 0.2226, and quantile values: 0.25 0.060825\n0.50 0.222600\n0.75 0.785080\nName: 6880, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8023706782616356, std values: 5.4029190442665564, min values: 1.7569e-06, max values: 45.642, median values: 0.30389, and quantile values: 0.25 0.083409\n0.50 0.303890\n0.75 1.251950\nName: 6881, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.589321724515723, std values: 5.193064362660552, min values: 3.7259e-06, max values: 41.894, median values: 0.24533, and quantile values: 0.25 0.070515\n0.50 0.245330\n0.75 0.967420\nName: 6882, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3686654685560062, std values: 4.986357293410922, min values: 3.7405e-08, max values: 42.618, median values: 0.16697, and quantile values: 0.25 0.045442\n0.50 0.166970\n0.75 0.722270\nName: 6883, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6838118030352203, std values: 5.00213750522894, min values: 1.3147e-06, max values: 39.254, median values: 0.28635, and quantile values: 0.25 0.084321\n0.50 0.286350\n0.75 1.161150\nName: 6884, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4435751970143964, std values: 5.029427445562989, min values: 1.4409e-08, max values: 44.058, median values: 0.17726, and quantile values: 0.25 0.043343\n0.50 0.177260\n0.75 0.755740\nName: 6885, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6679656439276729, std values: 5.422561468449093, min values: 2.3245e-06, max values: 47.119, median values: 0.26184, and quantile values: 0.25 0.080179\n0.50 0.261840\n0.75 1.070350\nName: 6886, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3978732876389939, std values: 4.890627319546701, min values: 1.4816e-06, max values: 39.569, median values: 0.21489, and quantile values: 0.25 0.055761\n0.50 0.214890\n0.75 0.821980\nName: 6887, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5219225794206417, std values: 4.858065573241043, min values: 2.4831e-08, max values: 39.743, median values: 0.21529, and quantile values: 0.25 0.05099\n0.50 0.21529\n0.75 0.98995\nName: 6888, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.520499806162893, std values: 4.913348319260366, min values: 1.5083e-06, max values: 39.243, median values: 0.25347, and quantile values: 0.25 0.070918\n0.50 0.253470\n0.75 1.021755\nName: 6889, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4868452684802516, std values: 4.760962807246036, min values: 3.8766e-07, max values: 37.75, median values: 0.22566, and quantile values: 0.25 0.066837\n0.50 0.225660\n0.75 0.924730\nName: 6890, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.39166569778044, std values: 4.8018231092483665, min values: 2.5259e-07, max values: 38.868, median values: 0.19793, and quantile values: 0.25 0.055208\n0.50 0.197930\n0.75 0.847065\nName: 6891, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5425461643232075, std values: 4.834759135087454, min values: 8.6159e-07, max values: 38.176, median values: 0.26526, and quantile values: 0.25 0.064632\n0.50 0.265260\n0.75 0.937860\nName: 6892, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3334922867420755, std values: 5.0012656259499915, min values: 5.0359e-07, max values: 43.021, median values: 0.15402, and quantile values: 0.25 0.04640\n0.50 0.15402\n0.75 0.68162\nName: 6893, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4631263231956604, std values: 4.944566276635813, min values: 1.1181e-07, max values: 41.345, median values: 0.19725, and quantile values: 0.25 0.059819\n0.50 0.197250\n0.75 0.844305\nName: 6894, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6707259909008803, std values: 4.858254430566903, min values: 7.0544e-07, max values: 37.784, median values: 0.28842, and quantile values: 0.25 0.075246\n0.50 0.288420\n0.75 1.182250\nName: 6895, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6287574421773585, std values: 5.015169389763346, min values: 2.1236e-06, max values: 39.534, median values: 0.27204, and quantile values: 0.25 0.076961\n0.50 0.272040\n0.75 1.088850\nName: 6896, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3899589979798743, std values: 4.940070430583701, min values: 3.0083e-06, max values: 40.519, median values: 0.20041, and quantile values: 0.25 0.056884\n0.50 0.200410\n0.75 0.785760\nName: 6897, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3882083795501887, std values: 4.9327358820638105, min values: 8.0478e-07, max values: 40.703, median values: 0.19778, and quantile values: 0.25 0.058423\n0.50 0.197780\n0.75 0.771660\nName: 6898, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5440956827408807, std values: 4.953679825008712, min values: 1.2824e-06, max values: 39.662, median values: 0.22237, and quantile values: 0.25 0.067443\n0.50 0.222370\n0.75 0.986140\nName: 6899, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4042209737019435, std values: 4.7700524393061725, min values: 2.3929e-08, max values: 38.737, median values: 0.19825, and quantile values: 0.25 0.053717\n0.50 0.198250\n0.75 0.843735\nName: 6900, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6011748813855975, std values: 5.065637335467185, min values: 7.1231e-07, max values: 41.582, median values: 0.2581, and quantile values: 0.25 0.066421\n0.50 0.258100\n0.75 1.075800\nName: 6901, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3555314298829562, std values: 4.634782460443911, min values: 8.7799e-07, max values: 37.811, median values: 0.19017, and quantile values: 0.25 0.060718\n0.50 0.190170\n0.75 0.816030\nName: 6902, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5657968814811323, std values: 4.903423829880029, min values: 1.4572e-06, max values: 38.929, median values: 0.26911, and quantile values: 0.25 0.07407\n0.50 0.26911\n0.75 1.01635\nName: 6903, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3728033938576099, std values: 5.05226603796165, min values: 8.5436e-07, max values: 43.419, median values: 0.17452, and quantile values: 0.25 0.054753\n0.50 0.174520\n0.75 0.776710\nName: 6904, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2263113934128491, std values: 4.621326292369906, min values: 2.485e-08, max values: 38.369, median values: 0.12716, and quantile values: 0.25 0.028396\n0.50 0.127160\n0.75 0.561330\nName: 6905, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.415317210871698, std values: 4.833200929285189, min values: 1.4271e-06, max values: 38.589, median values: 0.19235, and quantile values: 0.25 0.060645\n0.50 0.192350\n0.75 0.795255\nName: 6906, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5470518023176099, std values: 4.955965935671811, min values: 1.317e-06, max values: 39.496, median values: 0.2435, and quantile values: 0.25 0.071654\n0.50 0.243500\n0.75 0.983030\nName: 6907, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4908646061245283, std values: 4.928921784540529, min values: 2.2262e-06, max values: 39.709, median values: 0.22687, and quantile values: 0.25 0.071897\n0.50 0.226870\n0.75 0.892995\nName: 6908, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.192327773450755, std values: 4.695906055632825, min values: 8.1447e-07, max values: 37.851, median values: 0.13914, and quantile values: 0.25 0.051930\n0.50 0.139140\n0.75 0.593325\nName: 6909, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4797540401503146, std values: 4.891119550403559, min values: 4.3293e-06, max values: 40.379, median values: 0.24055, and quantile values: 0.25 0.064544\n0.50 0.240550\n0.75 0.898590\nName: 6910, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5314622087251575, std values: 5.186140307275875, min values: 1.6153e-06, max values: 44.522, median values: 0.23594, and quantile values: 0.25 0.062912\n0.50 0.235940\n0.75 0.900345\nName: 6911, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5940016203427674, std values: 5.418633356518082, min values: 2.1579e-06, max values: 47.615, median values: 0.25144, and quantile values: 0.25 0.070178\n0.50 0.251440\n0.75 0.947185\nName: 6912, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4907891171924528, std values: 4.774078829790799, min values: 2.083e-07, max values: 37.502, median values: 0.23328, and quantile values: 0.25 0.062449\n0.50 0.233280\n0.75 0.982040\nName: 6913, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8275051749031448, std values: 5.197928080763736, min values: 3.2236e-06, max values: 40.086, median values: 0.30555, and quantile values: 0.25 0.094113\n0.50 0.305550\n0.75 1.308300\nName: 6914, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5687353255962262, std values: 5.165823590584892, min values: 3.861e-06, max values: 41.529, median values: 0.26114, and quantile values: 0.25 0.064841\n0.50 0.261140\n0.75 1.025200\nName: 6915, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.465334254022132, std values: 4.754323181762589, min values: 9.3519e-08, max values: 37.692, median values: 0.19994, and quantile values: 0.25 0.053916\n0.50 0.199940\n0.75 0.879665\nName: 6916, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6146088994915724, std values: 5.288152461886384, min values: 6.6986e-07, max values: 46.285, median values: 0.24162, and quantile values: 0.25 0.066031\n0.50 0.241620\n0.75 1.000380\nName: 6917, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5702546104786164, std values: 5.137277898436422, min values: 2.016e-06, max values: 43.258, median values: 0.27595, and quantile values: 0.25 0.074052\n0.50 0.275950\n0.75 0.982525\nName: 6918, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4150901228314465, std values: 5.1168808256493, min values: 3.2567e-06, max values: 41.365, median values: 0.20182, and quantile values: 0.25 0.055958\n0.50 0.201820\n0.75 0.710870\nName: 6919, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.461431884467107, std values: 5.092731336786193, min values: 9.9237e-07, max values: 43.708, median values: 0.22281, and quantile values: 0.25 0.059941\n0.50 0.222810\n0.75 0.843620\nName: 6920, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5616355100415094, std values: 4.942047074772961, min values: 4.4252e-06, max values: 40.57, median values: 0.26775, and quantile values: 0.25 0.076887\n0.50 0.267750\n0.75 0.946980\nName: 6921, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3040798451698115, std values: 4.6070113875935945, min values: 1.2932e-06, max values: 38.137, median values: 0.18418, and quantile values: 0.25 0.052289\n0.50 0.184180\n0.75 0.727010\nName: 6922, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4447287467583394, std values: 4.684210176497437, min values: 8.3276e-08, max values: 37.401, median values: 0.20894, and quantile values: 0.25 0.050183\n0.50 0.208940\n0.75 0.913980\nName: 6923, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3691631796284909, std values: 4.628221244910056, min values: 4.6733e-07, max values: 37.768, median values: 0.18838, and quantile values: 0.25 0.055566\n0.50 0.188380\n0.75 0.843030\nName: 6924, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3029513338069183, std values: 4.586767152595681, min values: 2.383e-07, max values: 37.567, median values: 0.18489, and quantile values: 0.25 0.051268\n0.50 0.184890\n0.75 0.772135\nName: 6925, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4432900031735847, std values: 5.050564675849307, min values: 2.0512e-06, max values: 41.676, median values: 0.20472, and quantile values: 0.25 0.058477\n0.50 0.204720\n0.75 0.826090\nName: 6926, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.379758025691893, std values: 5.099981742440347, min values: 2.3431e-08, max values: 45.668, median values: 0.17904, and quantile values: 0.25 0.047799\n0.50 0.179040\n0.75 0.690615\nName: 6927, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.383370264878698, std values: 4.9603332192332825, min values: 2.6513e-08, max values: 42.23, median values: 0.15744, and quantile values: 0.25 0.043031\n0.50 0.157440\n0.75 0.733875\nName: 6928, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4821324281937105, std values: 5.08359142201723, min values: 1.9214e-06, max values: 41.671, median values: 0.23335, and quantile values: 0.25 0.059654\n0.50 0.233350\n0.75 0.923750\nName: 6929, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.284646015326415, std values: 4.785412020939063, min values: 8.732e-07, max values: 39.172, median values: 0.17447, and quantile values: 0.25 0.051953\n0.50 0.174470\n0.75 0.718535\nName: 6930, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2714203695861634, std values: 4.593406708016261, min values: 1.4507e-06, max values: 37.725, median values: 0.14621, and quantile values: 0.25 0.043900\n0.50 0.146210\n0.75 0.597245\nName: 6931, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.568078856104195, std values: 5.078025492065618, min values: 5.0367e-08, max values: 42.497, median values: 0.225, and quantile values: 0.25 0.057265\n0.50 0.225000\n0.75 0.934985\nName: 6932, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.509373032499371, std values: 4.875373616701489, min values: 3.359e-06, max values: 39.662, median values: 0.2632, and quantile values: 0.25 0.070106\n0.50 0.263200\n0.75 0.919425\nName: 6933, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.347532290637107, std values: 4.783636291926951, min values: 2.0224e-06, max values: 39.892, median values: 0.18643, and quantile values: 0.25 0.05474\n0.50 0.18643\n0.75 0.75513\nName: 6934, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5554025988333333, std values: 4.902265624678605, min values: 3.6704e-06, max values: 40.184, median values: 0.24541, and quantile values: 0.25 0.077548\n0.50 0.245410\n0.75 0.947875\nName: 6935, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6103134280867923, std values: 5.149001045854238, min values: 1.7606e-06, max values: 42.425, median values: 0.25102, and quantile values: 0.25 0.066835\n0.50 0.251020\n0.75 1.063850\nName: 6936, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5185926851526854, std values: 4.735658839756451, min values: 3.2907e-08, max values: 37.0, median values: 0.20968, and quantile values: 0.25 0.055538\n0.50 0.209680\n0.75 1.096900\nName: 6937, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4685618564327043, std values: 4.937328253426974, min values: 2.6556e-06, max values: 39.189, median values: 0.22323, and quantile values: 0.25 0.068724\n0.50 0.223230\n0.75 0.842360\nName: 6938, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4752311529134592, std values: 4.866688719138233, min values: 6.5244e-07, max values: 38.917, median values: 0.25886, and quantile values: 0.25 0.066102\n0.50 0.258860\n0.75 0.941130\nName: 6939, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8406317484647798, std values: 5.431666396125185, min values: 5.3511e-06, max values: 43.165, median values: 0.30849, and quantile values: 0.25 0.08324\n0.50 0.30849\n0.75 1.15850\nName: 6940, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4250649724245286, std values: 4.892042361631863, min values: 2.8528e-06, max values: 39.663, median values: 0.21029, and quantile values: 0.25 0.065872\n0.50 0.210290\n0.75 0.809095\nName: 6941, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3060153039884905, std values: 4.628013972859976, min values: 4.2107e-07, max values: 37.895, median values: 0.17165, and quantile values: 0.25 0.045984\n0.50 0.171650\n0.75 0.735895\nName: 6942, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4148620061351573, std values: 4.931019026670506, min values: 9.9599e-07, max values: 40.272, median values: 0.21648, and quantile values: 0.25 0.061166\n0.50 0.216480\n0.75 0.841060\nName: 6943, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.502444139254717, std values: 4.985973022905934, min values: 1.5961e-06, max values: 40.962, median values: 0.20352, and quantile values: 0.25 0.058435\n0.50 0.203520\n0.75 0.871505\nName: 6944, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2599376657857864, std values: 4.6518696357213924, min values: 7.3434e-07, max values: 37.786, median values: 0.14328, and quantile values: 0.25 0.040728\n0.50 0.143280\n0.75 0.656550\nName: 6945, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1435587743994338, std values: 4.617020938872977, min values: 2.9351e-07, max values: 37.047, median values: 0.10244, and quantile values: 0.25 0.033315\n0.50 0.102440\n0.75 0.510445\nName: 6946, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4451666891889499, std values: 4.75695714833479, min values: 5.6673e-08, max values: 38.144, median values: 0.18561, and quantile values: 0.25 0.054347\n0.50 0.185610\n0.75 0.849910\nName: 6947, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6720560021520754, std values: 5.2122696933597314, min values: 9.8458e-07, max values: 43.753, median values: 0.2549, and quantile values: 0.25 0.078346\n0.50 0.254900\n0.75 1.093750\nName: 6948, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3436433051973586, std values: 4.823693504105108, min values: 3.0375e-07, max values: 39.967, median values: 0.15589, and quantile values: 0.25 0.044986\n0.50 0.155890\n0.75 0.743905\nName: 6949, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5820313130924528, std values: 4.924637403329971, min values: 4.871e-06, max values: 40.289, median values: 0.2428, and quantile values: 0.25 0.074750\n0.50 0.242800\n0.75 0.950395\nName: 6950, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4642005590861635, std values: 5.21593331111752, min values: 2.2006e-06, max values: 44.089, median values: 0.20586, and quantile values: 0.25 0.056323\n0.50 0.205860\n0.75 0.849890\nName: 6951, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4942615894238993, std values: 5.1125117409587055, min values: 1.9478e-06, max values: 42.971, median values: 0.21376, and quantile values: 0.25 0.066661\n0.50 0.213760\n0.75 0.891055\nName: 6952, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4245736240955347, std values: 4.991360950159777, min values: 4.4649e-07, max values: 43.072, median values: 0.21849, and quantile values: 0.25 0.059996\n0.50 0.218490\n0.75 0.862035\nName: 6953, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4224701965727673, std values: 4.706800989573278, min values: 8.8837e-07, max values: 38.039, median values: 0.2331, and quantile values: 0.25 0.070522\n0.50 0.233100\n0.75 0.813140\nName: 6954, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3870383004012579, std values: 4.752190436261762, min values: 1.8592e-06, max values: 38.321, median values: 0.20617, and quantile values: 0.25 0.062076\n0.50 0.206170\n0.75 0.796090\nName: 6955, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.498272944344654, std values: 4.913622632934336, min values: 4.159e-06, max values: 39.853, median values: 0.24569, and quantile values: 0.25 0.073126\n0.50 0.245690\n0.75 0.884915\nName: 6956, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5409826296559752, std values: 4.8632244453998, min values: 1.8495e-06, max values: 38.965, median values: 0.23967, and quantile values: 0.25 0.073072\n0.50 0.239670\n0.75 0.948725\nName: 6957, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2484115620525158, std values: 4.606148450035968, min values: 7.6645e-07, max values: 38.261, median values: 0.16177, and quantile values: 0.25 0.055102\n0.50 0.161770\n0.75 0.648810\nName: 6958, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5769818031981322, std values: 5.058920931067258, min values: 3.8233e-08, max values: 42.981, median values: 0.21631, and quantile values: 0.25 0.048785\n0.50 0.216310\n0.75 1.098900\nName: 6959, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3513765793012578, std values: 4.544425804945081, min values: 1.1375e-06, max values: 38.773, median values: 0.20504, and quantile values: 0.25 0.05328\n0.50 0.20504\n0.75 0.78091\nName: 6960, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6105396185031449, std values: 4.89839553938099, min values: 2.5663e-06, max values: 39.462, median values: 0.28093, and quantile values: 0.25 0.080059\n0.50 0.280930\n0.75 1.028700\nName: 6961, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2310823162463522, std values: 4.659445371815103, min values: 8.9187e-07, max values: 38.973, median values: 0.12348, and quantile values: 0.25 0.041614\n0.50 0.123480\n0.75 0.662105\nName: 6962, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.695603327244025, std values: 5.080659043998171, min values: 3.9983e-06, max values: 39.538, median values: 0.28323, and quantile values: 0.25 0.08355\n0.50 0.28323\n0.75 1.10645\nName: 6963, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6930258919654089, std values: 5.047631328870532, min values: 6.105e-06, max values: 40.741, median values: 0.293, and quantile values: 0.25 0.095247\n0.50 0.293000\n0.75 1.081600\nName: 6964, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3272444904467926, std values: 4.646107077208532, min values: 1.6024e-07, max values: 36.9, median values: 0.18802, and quantile values: 0.25 0.050924\n0.50 0.188020\n0.75 0.751230\nName: 6965, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5767908760270442, std values: 5.363804868426854, min values: 1.0916e-06, max values: 48.205, median values: 0.24975, and quantile values: 0.25 0.072679\n0.50 0.249750\n0.75 0.960100\nName: 6966, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.561964420716981, std values: 5.358416157014608, min values: 6.271e-06, max values: 43.966, median values: 0.23374, and quantile values: 0.25 0.069913\n0.50 0.233740\n0.75 0.859070\nName: 6967, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5707856394772515, std values: 5.014974004531217, min values: 2.8753e-08, max values: 42.499, median values: 0.22571, and quantile values: 0.25 0.050264\n0.50 0.225710\n0.75 0.978510\nName: 6968, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.382792143627484, std values: 4.917972409871353, min values: 4.0253e-07, max values: 41.493, median values: 0.18806, and quantile values: 0.25 0.052132\n0.50 0.188060\n0.75 0.720235\nName: 6969, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5740778215937106, std values: 4.967408162194882, min values: 4.0132e-06, max values: 40.282, median values: 0.24768, and quantile values: 0.25 0.07597\n0.50 0.24768\n0.75 0.97012\nName: 6970, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5175470692418176, std values: 4.8023567993626, min values: 2.141e-08, max values: 38.993, median values: 0.19381, and quantile values: 0.25 0.041952\n0.50 0.193810\n0.75 0.865375\nName: 6971, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3855941876874214, std values: 5.032384239235972, min values: 1.0581e-06, max values: 42.004, median values: 0.17664, and quantile values: 0.25 0.047199\n0.50 0.176640\n0.75 0.702490\nName: 6972, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3505306038943397, std values: 4.954916723573556, min values: 3.5208e-06, max values: 41.212, median values: 0.20116, and quantile values: 0.25 0.056023\n0.50 0.201160\n0.75 0.713830\nName: 6973, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5347266987925157, std values: 5.245204362849079, min values: 7.1951e-07, max values: 46.235, median values: 0.25439, and quantile values: 0.25 0.064926\n0.50 0.254390\n0.75 0.919585\nName: 6974, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.41262861701861, std values: 4.669374161418571, min values: 3.9789e-08, max values: 36.571, median values: 0.18709, and quantile values: 0.25 0.048307\n0.50 0.187090\n0.75 0.788710\nName: 6975, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6942261379044026, std values: 5.221620334383826, min values: 2.5669e-06, max values: 42.209, median values: 0.27528, and quantile values: 0.25 0.075694\n0.50 0.275280\n0.75 1.110600\nName: 6976, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.460680883453459, std values: 4.935732544528732, min values: 1.2089e-06, max values: 40.097, median values: 0.23203, and quantile values: 0.25 0.059407\n0.50 0.232030\n0.75 0.856720\nName: 6977, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5534482388037734, std values: 4.923123991626976, min values: 3.3124e-06, max values: 39.943, median values: 0.24468, and quantile values: 0.25 0.065116\n0.50 0.244680\n0.75 1.060800\nName: 6978, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4128100860318238, std values: 4.848443347155225, min values: 6.8906e-07, max values: 39.08, median values: 0.19493, and quantile values: 0.25 0.055501\n0.50 0.194930\n0.75 0.857520\nName: 6979, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6812365088389938, std values: 5.211141707733006, min values: 7.0254e-06, max values: 42.062, median values: 0.2491, and quantile values: 0.25 0.068822\n0.50 0.249100\n0.75 0.979965\nName: 6980, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5102662280767294, std values: 4.94478851543486, min values: 2.2167e-06, max values: 40.089, median values: 0.24336, and quantile values: 0.25 0.073792\n0.50 0.243360\n0.75 0.888980\nName: 6981, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3549593172654089, std values: 4.774316894129437, min values: 1.6992e-06, max values: 39.17, median values: 0.20728, and quantile values: 0.25 0.056041\n0.50 0.207280\n0.75 0.820090\nName: 6982, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4997223531815722, std values: 5.034887313917266, min values: 4.8657e-07, max values: 42.085, median values: 0.23541, and quantile values: 0.25 0.069589\n0.50 0.235410\n0.75 0.875155\nName: 6983, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4284560290613837, std values: 4.653349660008374, min values: 8.1666e-07, max values: 37.406, median values: 0.21157, and quantile values: 0.25 0.060724\n0.50 0.211570\n0.75 0.920930\nName: 6984, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3275751988749687, std values: 4.808056732385225, min values: 7.0972e-07, max values: 38.231, median values: 0.19065, and quantile values: 0.25 0.061703\n0.50 0.190650\n0.75 0.696115\nName: 6985, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.462115962226415, std values: 4.604191443080757, min values: 2.1024e-06, max values: 39.296, median values: 0.21734, and quantile values: 0.25 0.067566\n0.50 0.217340\n0.75 0.923590\nName: 6986, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.769949460338365, std values: 5.322386402784292, min values: 6.3402e-06, max values: 41.995, median values: 0.3202, and quantile values: 0.25 0.083586\n0.50 0.320200\n0.75 1.070650\nName: 6987, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4815789372792452, std values: 4.973420529653198, min values: 2.6798e-06, max values: 40.29, median values: 0.22837, and quantile values: 0.25 0.066245\n0.50 0.228370\n0.75 0.856145\nName: 6988, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4634699493068304, std values: 4.918825073832382, min values: 1.9456e-08, max values: 41.599, median values: 0.184, and quantile values: 0.25 0.047204\n0.50 0.184000\n0.75 0.796150\nName: 6989, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5092648960433963, std values: 4.948477187061818, min values: 1.8736e-06, max values: 39.749, median values: 0.2297, and quantile values: 0.25 0.075856\n0.50 0.229700\n0.75 0.867880\nName: 6990, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4850921931058179, std values: 4.7196461712066125, min values: 7.4125e-08, max values: 37.15, median values: 0.23879, and quantile values: 0.25 0.058925\n0.50 0.238790\n0.75 1.034085\nName: 6991, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5522624542672954, std values: 5.237179723352302, min values: 3.2603e-06, max values: 44.153, median values: 0.22719, and quantile values: 0.25 0.068664\n0.50 0.227190\n0.75 0.883685\nName: 6992, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3423480239355345, std values: 4.917258807976501, min values: 5.3705e-07, max values: 40.898, median values: 0.19316, and quantile values: 0.25 0.058119\n0.50 0.193160\n0.75 0.698145\nName: 6993, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3304176924157232, std values: 4.8006150523661475, min values: 2.6851e-06, max values: 39.829, median values: 0.17896, and quantile values: 0.25 0.052744\n0.50 0.178960\n0.75 0.696770\nName: 6994, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3636141749899369, std values: 4.698173746446606, min values: 2.4828e-06, max values: 39.683, median values: 0.17909, and quantile values: 0.25 0.059609\n0.50 0.179090\n0.75 0.789805\nName: 6995, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.60545822588805, std values: 5.184676066590718, min values: 1.1497e-06, max values: 43.532, median values: 0.24513, and quantile values: 0.25 0.076343\n0.50 0.245130\n0.75 1.029600\nName: 6996, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3960552772993713, std values: 5.0275388949101885, min values: 2.0594e-06, max values: 41.336, median values: 0.20309, and quantile values: 0.25 0.063517\n0.50 0.203090\n0.75 0.811255\nName: 6997, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2244421072591194, std values: 4.824587302587176, min values: 1.2263e-06, max values: 39.588, median values: 0.15216, and quantile values: 0.25 0.045580\n0.50 0.152160\n0.75 0.618095\nName: 6998, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3328364360596854, std values: 4.905737819804417, min values: 6.9669e-07, max values: 40.69, median values: 0.16534, and quantile values: 0.25 0.052557\n0.50 0.165340\n0.75 0.732760\nName: 6999, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2867803785284906, std values: 4.623126100080616, min values: 4.5526e-07, max values: 36.689, median values: 0.16627, and quantile values: 0.25 0.050387\n0.50 0.166270\n0.75 0.689210\nName: 7000, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5076409777132074, std values: 4.729555870341664, min values: 9.921e-07, max values: 38.8, median values: 0.23203, and quantile values: 0.25 0.070535\n0.50 0.232030\n0.75 0.957945\nName: 7001, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3344177040761005, std values: 4.7106363733953165, min values: 1.0176e-06, max values: 38.448, median values: 0.18135, and quantile values: 0.25 0.053075\n0.50 0.181350\n0.75 0.786905\nName: 7002, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4395359124830818, std values: 4.91285958137628, min values: 4.7401e-07, max values: 40.912, median values: 0.2174, and quantile values: 0.25 0.05748\n0.50 0.21740\n0.75 0.83181\nName: 7003, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.467871404091195, std values: 4.878583929159122, min values: 2.2379e-06, max values: 38.954, median values: 0.22522, and quantile values: 0.25 0.059592\n0.50 0.225220\n0.75 0.871095\nName: 7004, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6884489002421383, std values: 5.2218473722749295, min values: 5.4312e-06, max values: 40.853, median values: 0.29207, and quantile values: 0.25 0.074899\n0.50 0.292070\n0.75 1.008335\nName: 7005, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3758517502508805, std values: 4.761059312774735, min values: 3.0389e-07, max values: 38.386, median values: 0.16587, and quantile values: 0.25 0.048267\n0.50 0.165870\n0.75 0.774650\nName: 7006, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3711566316593713, std values: 4.805791821084849, min values: 3.3925e-07, max values: 39.584, median values: 0.19783, and quantile values: 0.25 0.047895\n0.50 0.197830\n0.75 0.739585\nName: 7007, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.595909449635283, std values: 5.047500245182348, min values: 5.6001e-07, max values: 42.236, median values: 0.23462, and quantile values: 0.25 0.064135\n0.50 0.234620\n0.75 0.947480\nName: 7008, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4813626356088052, std values: 5.089355714947082, min values: 1.8325e-06, max values: 41.875, median values: 0.22666, and quantile values: 0.25 0.054737\n0.50 0.226660\n0.75 0.901875\nName: 7009, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8736499360220127, std values: 5.498488571969208, min values: 3.8545e-06, max values: 45.934, median values: 0.36142, and quantile values: 0.25 0.096314\n0.50 0.361420\n0.75 1.304350\nName: 7010, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4452226422260377, std values: 4.772445133421634, min values: 3.8894e-07, max values: 38.008, median values: 0.2122, and quantile values: 0.25 0.062989\n0.50 0.212200\n0.75 0.866555\nName: 7011, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4460351047515723, std values: 5.039777874112874, min values: 1.6791e-06, max values: 41.781, median values: 0.20785, and quantile values: 0.25 0.057057\n0.50 0.207850\n0.75 0.908650\nName: 7012, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4419633721359748, std values: 4.821875880342779, min values: 5.9822e-07, max values: 38.586, median values: 0.23046, and quantile values: 0.25 0.061687\n0.50 0.230460\n0.75 0.923410\nName: 7013, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8124166477289307, std values: 5.50113040959119, min values: 8.63e-07, max values: 48.244, median values: 0.30684, and quantile values: 0.25 0.07045\n0.50 0.30684\n0.75 1.33900\nName: 7014, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5145318684402518, std values: 4.813707706636752, min values: 3.4858e-06, max values: 39.325, median values: 0.25503, and quantile values: 0.25 0.077218\n0.50 0.255030\n0.75 0.909070\nName: 7015, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3963505097881068, std values: 4.663804567386341, min values: 2.7969e-08, max values: 36.839, median values: 0.19444, and quantile values: 0.25 0.043204\n0.50 0.194440\n0.75 0.837590\nName: 7016, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6080207356514025, std values: 5.529913762907478, min values: 8.4673e-08, max values: 51.292, median values: 0.19478, and quantile values: 0.25 0.057357\n0.50 0.194780\n0.75 0.958420\nName: 7017, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2296543836739624, std values: 4.5335052254338155, min values: 7.3276e-07, max values: 38.121, median values: 0.1427, and quantile values: 0.25 0.045897\n0.50 0.142700\n0.75 0.688035\nName: 7018, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.608602017690126, std values: 5.152865395157164, min values: 9.2603e-07, max values: 43.744, median values: 0.23649, and quantile values: 0.25 0.064791\n0.50 0.236490\n0.75 1.051100\nName: 7019, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4439018982842768, std values: 4.925419245912432, min values: 3.0207e-06, max values: 40.369, median values: 0.2016, and quantile values: 0.25 0.060676\n0.50 0.201600\n0.75 0.847070\nName: 7020, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3802498729669435, std values: 5.049580463358387, min values: 2.2974e-08, max values: 44.498, median values: 0.16265, and quantile values: 0.25 0.043112\n0.50 0.162650\n0.75 0.714835\nName: 7021, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5882776836836479, std values: 5.293405293081801, min values: 1.2969e-06, max values: 45.92, median values: 0.23457, and quantile values: 0.25 0.067449\n0.50 0.234570\n0.75 0.886995\nName: 7022, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5220474110974844, std values: 5.088409443519787, min values: 2.2618e-06, max values: 42.616, median values: 0.25208, and quantile values: 0.25 0.066678\n0.50 0.252080\n0.75 0.919130\nName: 7023, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.346368976684717, std values: 4.87809680945927, min values: 4.0728e-07, max values: 40.812, median values: 0.16207, and quantile values: 0.25 0.046472\n0.50 0.162070\n0.75 0.766710\nName: 7024, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4406173490738363, std values: 5.085952880876021, min values: 3.6864e-07, max values: 44.322, median values: 0.19008, and quantile values: 0.25 0.051373\n0.50 0.190080\n0.75 0.796600\nName: 7025, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1342930760933836, std values: 4.548577644650823, min values: 9.3708e-08, max values: 36.944, median values: 0.13501, and quantile values: 0.25 0.032032\n0.50 0.135010\n0.75 0.499940\nName: 7026, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.456841826462201, std values: 4.537137829775143, min values: 1.5059e-07, max values: 37.214, median values: 0.20923, and quantile values: 0.25 0.054914\n0.50 0.209230\n0.75 0.950490\nName: 7027, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4249807546962263, std values: 4.801446557739568, min values: 1.9075e-06, max values: 38.656, median values: 0.20289, and quantile values: 0.25 0.062399\n0.50 0.202890\n0.75 0.842295\nName: 7028, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3197031014660376, std values: 4.74404602592953, min values: 1.5636e-06, max values: 38.851, median values: 0.17872, and quantile values: 0.25 0.057306\n0.50 0.178720\n0.75 0.713415\nName: 7029, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5271352937044025, std values: 5.024907575788553, min values: 3.9794e-06, max values: 40.721, median values: 0.2428, and quantile values: 0.25 0.066787\n0.50 0.242800\n0.75 0.841135\nName: 7030, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.456987757099937, std values: 4.7907583284983835, min values: 3.7419e-07, max values: 38.074, median values: 0.19613, and quantile values: 0.25 0.056537\n0.50 0.196130\n0.75 0.917750\nName: 7031, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4368551990566036, std values: 4.845343002316647, min values: 2.765e-06, max values: 39.317, median values: 0.20123, and quantile values: 0.25 0.067448\n0.50 0.201230\n0.75 0.841365\nName: 7032, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5992079435943145, std values: 5.0266214779871525, min values: 2.4696e-08, max values: 41.508, median values: 0.2127, and quantile values: 0.25 0.064267\n0.50 0.212700\n0.75 1.096900\nName: 7033, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4144068051207548, std values: 5.054073524544222, min values: 1.6901e-06, max values: 42.824, median values: 0.20543, and quantile values: 0.25 0.060838\n0.50 0.205430\n0.75 0.800960\nName: 7034, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6083699901510062, std values: 4.867053403187054, min values: 7.6361e-07, max values: 37.895, median values: 0.23944, and quantile values: 0.25 0.071854\n0.50 0.239440\n0.75 1.004300\nName: 7035, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6149002490176103, std values: 5.023346868278418, min values: 3.33e-06, max values: 39.411, median values: 0.2847, and quantile values: 0.25 0.076427\n0.50 0.284700\n0.75 1.064750\nName: 7036, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7075790949050313, std values: 5.340288465613023, min values: 3.238e-06, max values: 44.269, median values: 0.30454, and quantile values: 0.25 0.077006\n0.50 0.304540\n0.75 1.118200\nName: 7037, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5602710305050314, std values: 5.009018150355788, min values: 1.1061e-06, max values: 40.863, median values: 0.2207, and quantile values: 0.25 0.073081\n0.50 0.220700\n0.75 0.974775\nName: 7038, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5742008002630188, std values: 5.117742646102787, min values: 5.3022e-07, max values: 43.461, median values: 0.22466, and quantile values: 0.25 0.058068\n0.50 0.224660\n0.75 1.058450\nName: 7039, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3004870882417607, std values: 4.6212761540557175, min values: 1.913e-07, max values: 36.863, median values: 0.19391, and quantile values: 0.25 0.050125\n0.50 0.193910\n0.75 0.734590\nName: 7040, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7117060511893083, std values: 5.114786859098189, min values: 3.9311e-06, max values: 39.901, median values: 0.27962, and quantile values: 0.25 0.083851\n0.50 0.279620\n0.75 1.205000\nName: 7041, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4855651526442137, std values: 4.815819435426016, min values: 8.4593e-07, max values: 38.324, median values: 0.24346, and quantile values: 0.25 0.065917\n0.50 0.243460\n0.75 0.947980\nName: 7042, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5392384288264152, std values: 4.758613906886751, min values: 8.4494e-06, max values: 40.456, median values: 0.26393, and quantile values: 0.25 0.078604\n0.50 0.263930\n0.75 0.923680\nName: 7043, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6789652772540877, std values: 4.844500385100861, min values: 2.5248e-06, max values: 39.399, median values: 0.30021, and quantile values: 0.25 0.081638\n0.50 0.300210\n0.75 1.201850\nName: 7044, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4449310080872957, std values: 4.850181277208663, min values: 1.2798e-07, max values: 40.066, median values: 0.23263, and quantile values: 0.25 0.058058\n0.50 0.232630\n0.75 0.891565\nName: 7045, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2849596460038364, std values: 4.748259281266679, min values: 1.4921e-07, max values: 39.164, median values: 0.1636, and quantile values: 0.25 0.048105\n0.50 0.163600\n0.75 0.679370\nName: 7046, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4384583836688052, std values: 4.682960065068734, min values: 2.5444e-07, max values: 36.972, median values: 0.23311, and quantile values: 0.25 0.058389\n0.50 0.233110\n0.75 0.895175\nName: 7047, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4346222835551952, std values: 4.933832609594523, min values: 6.2256e-08, max values: 42.168, median values: 0.2035, and quantile values: 0.25 0.045944\n0.50 0.203500\n0.75 0.803605\nName: 7048, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5109157984786163, std values: 4.9189783910098654, min values: 2.1166e-06, max values: 39.377, median values: 0.24105, and quantile values: 0.25 0.067562\n0.50 0.241050\n0.75 0.878445\nName: 7049, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.724410754079874, std values: 5.224387574796803, min values: 4.5502e-06, max values: 41.665, median values: 0.26927, and quantile values: 0.25 0.073139\n0.50 0.269270\n0.75 1.106300\nName: 7050, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5087420919584906, std values: 4.9898185503673025, min values: 3.4169e-06, max values: 40.014, median values: 0.23794, and quantile values: 0.25 0.067378\n0.50 0.237940\n0.75 0.880285\nName: 7051, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.600585922554717, std values: 5.1486888118166405, min values: 1.1306e-06, max values: 43.322, median values: 0.23957, and quantile values: 0.25 0.071820\n0.50 0.239570\n0.75 1.045195\nName: 7052, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6961578791207546, std values: 4.948977351448446, min values: 2.8456e-06, max values: 39.228, median values: 0.29825, and quantile values: 0.25 0.082771\n0.50 0.298250\n0.75 1.211400\nName: 7053, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.674783788080503, std values: 4.964045669714874, min values: 9.295e-07, max values: 38.946, median values: 0.29508, and quantile values: 0.25 0.075974\n0.50 0.295080\n0.75 1.168550\nName: 7054, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6269455753339623, std values: 5.148867364707335, min values: 1.1824e-06, max values: 42.762, median values: 0.24073, and quantile values: 0.25 0.076465\n0.50 0.240730\n0.75 1.008010\nName: 7055, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3701878598251571, std values: 4.791714940145485, min values: 1.6229e-06, max values: 38.374, median values: 0.18974, and quantile values: 0.25 0.051677\n0.50 0.189740\n0.75 0.762995\nName: 7056, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.602920992826415, std values: 5.1631912148044465, min values: 1.4207e-06, max values: 42.751, median values: 0.24596, and quantile values: 0.25 0.063709\n0.50 0.245960\n0.75 1.046095\nName: 7057, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3901405762044026, std values: 4.977771717802865, min values: 1.4696e-06, max values: 41.27, median values: 0.17177, and quantile values: 0.25 0.060052\n0.50 0.171770\n0.75 0.821810\nName: 7058, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.572252909209434, std values: 4.766470070664869, min values: 1.0661e-06, max values: 37.76, median values: 0.27041, and quantile values: 0.25 0.068785\n0.50 0.270410\n0.75 1.011660\nName: 7059, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.0908822682076103, std values: 4.4665647089169624, min values: 4.886e-07, max values: 35.555, median values: 0.10363, and quantile values: 0.25 0.032364\n0.50 0.103630\n0.75 0.463045\nName: 7060, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5593935231881135, std values: 5.112798566623091, min values: 9.6461e-07, max values: 43.333, median values: 0.26553, and quantile values: 0.25 0.069309\n0.50 0.265530\n0.75 0.979040\nName: 7061, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5951475248150946, std values: 4.802215943393788, min values: 1.3486e-06, max values: 38.79, median values: 0.24476, and quantile values: 0.25 0.070799\n0.50 0.244760\n0.75 1.009770\nName: 7062, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9080145743232702, std values: 5.2381084971721545, min values: 2.3058e-06, max values: 40.147, median values: 0.33926, and quantile values: 0.25 0.086676\n0.50 0.339260\n0.75 1.389500\nName: 7063, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5442768008943397, std values: 5.180417639960307, min values: 5.4029e-06, max values: 41.181, median values: 0.25584, and quantile values: 0.25 0.070286\n0.50 0.255840\n0.75 0.857925\nName: 7064, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4013488385169812, std values: 4.776409457258066, min values: 2.2214e-06, max values: 40.367, median values: 0.21521, and quantile values: 0.25 0.062905\n0.50 0.215210\n0.75 0.762590\nName: 7065, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4950211209144026, std values: 4.719538126426121, min values: 9.7139e-07, max values: 38.069, median values: 0.24895, and quantile values: 0.25 0.069719\n0.50 0.248950\n0.75 0.974825\nName: 7066, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.421626269859308, std values: 4.925746213667605, min values: 7.4503e-07, max values: 40.946, median values: 0.21935, and quantile values: 0.25 0.058069\n0.50 0.219350\n0.75 0.858040\nName: 7067, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5934681820113208, std values: 4.97439666552281, min values: 1.2589e-06, max values: 39.255, median values: 0.24043, and quantile values: 0.25 0.067181\n0.50 0.240430\n0.75 1.057600\nName: 7068, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3512003328957547, std values: 4.623465857154554, min values: 2.8345e-08, max values: 36.795, median values: 0.17483, and quantile values: 0.25 0.040642\n0.50 0.174830\n0.75 0.797280\nName: 7069, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6226187190050316, std values: 5.266742632277877, min values: 3.6012e-06, max values: 43.823, median values: 0.24885, and quantile values: 0.25 0.072148\n0.50 0.248850\n0.75 1.021895\nName: 7070, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6227316677553458, std values: 5.172438754549258, min values: 3.6732e-06, max values: 41.741, median values: 0.27659, and quantile values: 0.25 0.069432\n0.50 0.276590\n0.75 1.010350\nName: 7071, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4976109721210693, std values: 4.739394762798848, min values: 6.6075e-07, max values: 38.019, median values: 0.219, and quantile values: 0.25 0.06409\n0.50 0.21900\n0.75 0.99912\nName: 7072, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6506914705716984, std values: 5.076788938726778, min values: 5.4589e-06, max values: 41.096, median values: 0.25293, and quantile values: 0.25 0.081281\n0.50 0.252930\n0.75 1.045150\nName: 7073, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2711064759344024, std values: 4.60653027223824, min values: 2.629e-07, max values: 36.809, median values: 0.13269, and quantile values: 0.25 0.035033\n0.50 0.132690\n0.75 0.662010\nName: 7074, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3572177304128301, std values: 4.756215115877923, min values: 2.312e-08, max values: 39.062, median values: 0.17987, and quantile values: 0.25 0.041515\n0.50 0.179870\n0.75 0.741405\nName: 7075, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6521344458006288, std values: 5.065031017486904, min values: 4.0679e-06, max values: 40.07, median values: 0.31779, and quantile values: 0.25 0.089657\n0.50 0.317790\n0.75 1.082300\nName: 7076, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5241561797325156, std values: 5.073104768516642, min values: 3.2587e-07, max values: 43.912, median values: 0.22156, and quantile values: 0.25 0.056197\n0.50 0.221560\n0.75 0.888805\nName: 7077, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.455375740001887, std values: 4.821712512107094, min values: 2.2096e-06, max values: 39.101, median values: 0.23244, and quantile values: 0.25 0.067162\n0.50 0.232440\n0.75 0.868475\nName: 7078, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3994199806033332, std values: 4.752271035184287, min values: 6.2053e-07, max values: 37.764, median values: 0.19556, and quantile values: 0.25 0.059527\n0.50 0.195560\n0.75 0.794885\nName: 7079, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4377185232320755, std values: 4.941255946124467, min values: 2.2601e-06, max values: 39.55, median values: 0.21864, and quantile values: 0.25 0.058319\n0.50 0.218640\n0.75 0.850905\nName: 7080, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3175662490874214, std values: 4.798797829985171, min values: 1.1527e-06, max values: 38.552, median values: 0.18348, and quantile values: 0.25 0.055977\n0.50 0.183480\n0.75 0.713160\nName: 7081, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6641228367597485, std values: 4.937374982915869, min values: 0.0, max values: 38.052, median values: 0.26024, and quantile values: 0.25 0.071704\n0.50 0.260240\n0.75 1.089385\nName: 7082, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5446778958188678, std values: 4.911839648890517, min values: 1.454e-06, max values: 39.078, median values: 0.24824, and quantile values: 0.25 0.074841\n0.50 0.248240\n0.75 1.012850\nName: 7083, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4428328913125787, std values: 4.961423304728648, min values: 1.5023e-06, max values: 40.576, median values: 0.23774, and quantile values: 0.25 0.057568\n0.50 0.237740\n0.75 0.805860\nName: 7084, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2585837839538996, std values: 4.960978171023033, min values: 5.3077e-07, max values: 43.028, median values: 0.15545, and quantile values: 0.25 0.049955\n0.50 0.155450\n0.75 0.600910\nName: 7085, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.472486653522956, std values: 5.042698428983805, min values: 6.1965e-07, max values: 42.009, median values: 0.20777, and quantile values: 0.25 0.053535\n0.50 0.207770\n0.75 0.893810\nName: 7086, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3091939591359119, std values: 4.535388246767, min values: 7.1251e-07, max values: 37.823, median values: 0.202, and quantile values: 0.25 0.050112\n0.50 0.202000\n0.75 0.753640\nName: 7087, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7634423668867925, std values: 5.210474054546836, min values: 3.4942e-06, max values: 41.384, median values: 0.31249, and quantile values: 0.25 0.080468\n0.50 0.312490\n0.75 1.225450\nName: 7088, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6261531431144656, std values: 5.258147940414119, min values: 1.824e-06, max values: 44.469, median values: 0.27922, and quantile values: 0.25 0.068952\n0.50 0.279220\n0.75 1.052550\nName: 7089, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3377607380647798, std values: 4.594552193623152, min values: 1.7924e-06, max values: 38.444, median values: 0.21382, and quantile values: 0.25 0.060033\n0.50 0.213820\n0.75 0.782755\nName: 7090, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8164468433320757, std values: 5.176059844690873, min values: 4.1149e-06, max values: 39.972, median values: 0.31711, and quantile values: 0.25 0.093843\n0.50 0.317110\n0.75 1.251350\nName: 7091, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3965573257427673, std values: 5.019760851852813, min values: 5.514e-07, max values: 43.17, median values: 0.1536, and quantile values: 0.25 0.050532\n0.50 0.153600\n0.75 0.751460\nName: 7092, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1930699837349688, std values: 4.647889657230131, min values: 2.8281e-07, max values: 37.31, median values: 0.14415, and quantile values: 0.25 0.043349\n0.50 0.144150\n0.75 0.586615\nName: 7093, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3560374304874214, std values: 5.135236701638216, min values: 2.7186e-06, max values: 42.549, median values: 0.18093, and quantile values: 0.25 0.050337\n0.50 0.180930\n0.75 0.667900\nName: 7094, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5427956506943397, std values: 5.021712761033229, min values: 2.7356e-06, max values: 40.208, median values: 0.23265, and quantile values: 0.25 0.075926\n0.50 0.232650\n0.75 0.908850\nName: 7095, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3906314744308177, std values: 4.928871951050313, min values: 1.3606e-06, max values: 40.419, median values: 0.1911, and quantile values: 0.25 0.056936\n0.50 0.191100\n0.75 0.818805\nName: 7096, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.412603373235849, std values: 4.938252700295561, min values: 2.2046e-06, max values: 39.565, median values: 0.19223, and quantile values: 0.25 0.061776\n0.50 0.192230\n0.75 0.775705\nName: 7097, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6208400198761006, std values: 4.948175010366297, min values: 2.6071e-06, max values: 39.193, median values: 0.26856, and quantile values: 0.25 0.077458\n0.50 0.268560\n0.75 1.102650\nName: 7098, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4237621457008807, std values: 4.8291290179178485, min values: 4.8914e-07, max values: 38.461, median values: 0.2148, and quantile values: 0.25 0.051617\n0.50 0.214800\n0.75 0.877135\nName: 7099, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6577549932044022, std values: 5.110161209051556, min values: 1.5547e-06, max values: 41.607, median values: 0.2574, and quantile values: 0.25 0.075984\n0.50 0.257400\n0.75 1.114200\nName: 7100, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3832650329339624, std values: 5.006981664490148, min values: 1.2338e-06, max values: 42.302, median values: 0.1693, and quantile values: 0.25 0.054911\n0.50 0.169300\n0.75 0.777455\nName: 7101, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5413785945893081, std values: 4.973984667812572, min values: 2.5392e-06, max values: 40.149, median values: 0.25564, and quantile values: 0.25 0.064770\n0.50 0.255640\n0.75 0.947765\nName: 7102, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4486394279361008, std values: 4.734585043105203, min values: 8.4234e-07, max values: 38.071, median values: 0.22572, and quantile values: 0.25 0.067668\n0.50 0.225720\n0.75 0.891390\nName: 7103, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3580829477012577, std values: 4.901010410041059, min values: 1.089e-06, max values: 40.525, median values: 0.19015, and quantile values: 0.25 0.052207\n0.50 0.190150\n0.75 0.813425\nName: 7104, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5635416195559748, std values: 5.169036122491204, min values: 2.9661e-06, max values: 43.081, median values: 0.2401, and quantile values: 0.25 0.074066\n0.50 0.240100\n0.75 0.922140\nName: 7105, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5125268224133335, std values: 4.823449847521779, min values: 3.8472e-07, max values: 38.493, median values: 0.24825, and quantile values: 0.25 0.064856\n0.50 0.248250\n0.75 0.939235\nName: 7106, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5027883844343395, std values: 4.8812349629859115, min values: 6.1066e-07, max values: 39.208, median values: 0.21736, and quantile values: 0.25 0.059677\n0.50 0.217360\n0.75 0.998400\nName: 7107, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5978906078187423, std values: 4.702514636494994, min values: 2.858e-08, max values: 36.692, median values: 0.23293, and quantile values: 0.25 0.059875\n0.50 0.232930\n0.75 1.041535\nName: 7108, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.649365136801258, std values: 5.031240484821482, min values: 3.0861e-06, max values: 39.891, median values: 0.26526, and quantile values: 0.25 0.072697\n0.50 0.265260\n0.75 1.087000\nName: 7109, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.43737389718239, std values: 4.611863293467811, min values: 2.9544e-06, max values: 39.668, median values: 0.21816, and quantile values: 0.25 0.065805\n0.50 0.218160\n0.75 0.903280\nName: 7110, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.646020609367296, std values: 5.387260415638861, min values: 2.7546e-06, max values: 46.258, median values: 0.24923, and quantile values: 0.25 0.068190\n0.50 0.249230\n0.75 1.021995\nName: 7111, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.295320462481868, std values: 4.9309204975761824, min values: 9.2537e-08, max values: 42.982, median values: 0.1604, and quantile values: 0.25 0.036091\n0.50 0.160400\n0.75 0.642675\nName: 7112, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.416346546728931, std values: 4.578051538874398, min values: 1.4169e-06, max values: 38.42, median values: 0.24875, and quantile values: 0.25 0.061704\n0.50 0.248750\n0.75 0.886970\nName: 7113, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6194997289013835, std values: 5.140477353746205, min values: 9.3972e-07, max values: 43.72, median values: 0.2723, and quantile values: 0.25 0.073069\n0.50 0.272300\n0.75 1.012865\nName: 7114, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3764500542175473, std values: 4.671126895168236, min values: 4.4269e-07, max values: 37.1, median values: 0.21646, and quantile values: 0.25 0.055375\n0.50 0.216460\n0.75 0.795800\nName: 7115, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4048531543782137, std values: 4.891445162723972, min values: 2.9256e-08, max values: 41.389, median values: 0.16737, and quantile values: 0.25 0.045770\n0.50 0.167370\n0.75 0.806645\nName: 7116, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6783358373628932, std values: 5.190252969973955, min values: 2.948e-06, max values: 41.649, median values: 0.26422, and quantile values: 0.25 0.075111\n0.50 0.264220\n0.75 1.136850\nName: 7117, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6449019915672953, std values: 5.065896351873687, min values: 3.4613e-06, max values: 40.131, median values: 0.26924, and quantile values: 0.25 0.077481\n0.50 0.269240\n0.75 1.132250\nName: 7118, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5706278281477988, std values: 4.996036554525593, min values: 3.234e-06, max values: 39.702, median values: 0.28189, and quantile values: 0.25 0.074445\n0.50 0.281890\n0.75 0.982645\nName: 7119, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2467537412572327, std values: 4.769474543109258, min values: 1.7474e-06, max values: 39.772, median values: 0.14807, and quantile values: 0.25 0.036601\n0.50 0.148070\n0.75 0.623370\nName: 7120, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5418254655155976, std values: 5.084777306911963, min values: 8.4328e-07, max values: 42.708, median values: 0.23478, and quantile values: 0.25 0.063525\n0.50 0.234780\n0.75 0.989210\nName: 7121, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3789721463884905, std values: 4.69142709441284, min values: 7.2507e-07, max values: 37.55, median values: 0.2173, and quantile values: 0.25 0.060117\n0.50 0.217300\n0.75 0.843960\nName: 7122, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4334874019061006, std values: 4.782776114772847, min values: 4.0857e-07, max values: 38.37, median values: 0.22732, and quantile values: 0.25 0.059339\n0.50 0.227320\n0.75 0.840640\nName: 7123, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4544774537833334, std values: 4.696906718862824, min values: 1.9074e-07, max values: 36.868, median values: 0.22578, and quantile values: 0.25 0.051377\n0.50 0.225780\n0.75 0.901670\nName: 7124, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6477235187295598, std values: 5.196045563701489, min values: 5.861e-06, max values: 41.502, median values: 0.26701, and quantile values: 0.25 0.078546\n0.50 0.267010\n0.75 0.900010\nName: 7125, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.419855570075308, std values: 4.861628985822236, min values: 9.4774e-08, max values: 39.153, median values: 0.1938, and quantile values: 0.25 0.050087\n0.50 0.193800\n0.75 0.834030\nName: 7126, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3142266100993711, std values: 5.039687570644843, min values: 2.0147e-06, max values: 42.029, median values: 0.1708, and quantile values: 0.25 0.054366\n0.50 0.170800\n0.75 0.676070\nName: 7127, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3975512831505033, std values: 4.70356473537967, min values: 6.0963e-07, max values: 38.099, median values: 0.20576, and quantile values: 0.25 0.061513\n0.50 0.205760\n0.75 0.812425\nName: 7128, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5920671885697486, std values: 4.920040309155987, min values: 4.4949e-07, max values: 39.414, median values: 0.24601, and quantile values: 0.25 0.060983\n0.50 0.246010\n0.75 1.036680\nName: 7129, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4409163852132074, std values: 5.146226546114046, min values: 1.4422e-06, max values: 43.351, median values: 0.19961, and quantile values: 0.25 0.055938\n0.50 0.199610\n0.75 0.790475\nName: 7130, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.369759847111824, std values: 4.784485850502147, min values: 6.4978e-07, max values: 38.359, median values: 0.21465, and quantile values: 0.25 0.060045\n0.50 0.214650\n0.75 0.746810\nName: 7131, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.348985851098113, std values: 4.648722893333339, min values: 1.2758e-06, max values: 38.625, median values: 0.21847, and quantile values: 0.25 0.055407\n0.50 0.218470\n0.75 0.765760\nName: 7132, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3696168203779873, std values: 4.8235487194317725, min values: 1.6112e-06, max values: 38.778, median values: 0.20784, and quantile values: 0.25 0.055959\n0.50 0.207840\n0.75 0.771150\nName: 7133, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3802345274128933, std values: 4.799416307571424, min values: 4.7945e-07, max values: 39.626, median values: 0.20548, and quantile values: 0.25 0.057075\n0.50 0.205480\n0.75 0.895835\nName: 7134, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4037582616622641, std values: 4.946566570169089, min values: 2.3771e-06, max values: 39.815, median values: 0.21215, and quantile values: 0.25 0.063418\n0.50 0.212150\n0.75 0.778635\nName: 7135, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.633517138544025, std values: 5.127795961285691, min values: 2.1654e-06, max values: 41.19, median values: 0.28858, and quantile values: 0.25 0.066309\n0.50 0.288580\n0.75 1.063300\nName: 7136, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.224661867025786, std values: 4.628474706123396, min values: 1.9442e-06, max values: 39.202, median values: 0.15634, and quantile values: 0.25 0.053413\n0.50 0.156340\n0.75 0.611345\nName: 7137, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6332497148761007, std values: 5.041451514387617, min values: 2.8077e-06, max values: 39.744, median values: 0.26213, and quantile values: 0.25 0.080187\n0.50 0.262130\n0.75 1.053300\nName: 7138, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4266747325899372, std values: 4.709882219256152, min values: 2.1033e-06, max values: 38.853, median values: 0.20646, and quantile values: 0.25 0.060451\n0.50 0.206460\n0.75 0.777570\nName: 7139, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2907975339102264, std values: 4.545614066118473, min values: 2.0336e-08, max values: 36.684, median values: 0.17158, and quantile values: 0.25 0.038857\n0.50 0.171580\n0.75 0.703455\nName: 7140, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6162753536874215, std values: 5.226917585465493, min values: 3.6764e-06, max values: 42.945, median values: 0.26055, and quantile values: 0.25 0.077360\n0.50 0.260550\n0.75 0.958495\nName: 7141, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4571355044069185, std values: 4.6577652558515314, min values: 3.6508e-06, max values: 40.072, median values: 0.23477, and quantile values: 0.25 0.071789\n0.50 0.234770\n0.75 0.819260\nName: 7142, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7478404038949686, std values: 5.214025406274582, min values: 3.7491e-06, max values: 40.664, median values: 0.29944, and quantile values: 0.25 0.084718\n0.50 0.299440\n0.75 1.153650\nName: 7143, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3775468435195535, std values: 4.813204144789904, min values: 1.8399e-08, max values: 39.932, median values: 0.17904, and quantile values: 0.25 0.041087\n0.50 0.179040\n0.75 0.695035\nName: 7144, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6595810445484276, std values: 5.096051261578984, min values: 1.9613e-06, max values: 41.097, median values: 0.27125, and quantile values: 0.25 0.08135\n0.50 0.27125\n0.75 1.13560\nName: 7145, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.382402267205283, std values: 4.818172664111527, min values: 7.8194e-07, max values: 38.671, median values: 0.17827, and quantile values: 0.25 0.059598\n0.50 0.178270\n0.75 0.764765\nName: 7146, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4298776518433962, std values: 4.735320944199537, min values: 1.301e-06, max values: 38.291, median values: 0.22497, and quantile values: 0.25 0.063799\n0.50 0.224970\n0.75 0.914990\nName: 7147, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5051865947591194, std values: 4.791659244418745, min values: 1.8212e-06, max values: 38.993, median values: 0.2454, and quantile values: 0.25 0.069778\n0.50 0.245400\n0.75 0.926365\nName: 7148, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4608877818416355, std values: 4.97327341437953, min values: 3.7632e-07, max values: 41.639, median values: 0.22242, and quantile values: 0.25 0.063005\n0.50 0.222420\n0.75 0.870310\nName: 7149, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3916794830188681, std values: 4.804148659614999, min values: 1.4273e-06, max values: 39.389, median values: 0.1946, and quantile values: 0.25 0.058053\n0.50 0.194600\n0.75 0.821565\nName: 7150, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5472222508389935, std values: 4.843032356484761, min values: 1.3595e-06, max values: 38.227, median values: 0.25963, and quantile values: 0.25 0.073301\n0.50 0.259630\n0.75 1.007900\nName: 7151, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2806781258467295, std values: 4.882032458896496, min values: 7.8733e-07, max values: 39.773, median values: 0.14564, and quantile values: 0.25 0.046736\n0.50 0.145640\n0.75 0.664295\nName: 7152, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6216904642031444, std values: 5.097865418988357, min values: 4.213e-06, max values: 40.082, median values: 0.27456, and quantile values: 0.25 0.072787\n0.50 0.274560\n0.75 0.933040\nName: 7153, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3402246478163524, std values: 5.019809289817841, min values: 4.2714e-06, max values: 40.606, median values: 0.17181, and quantile values: 0.25 0.048495\n0.50 0.171810\n0.75 0.648650\nName: 7154, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6611571283874844, std values: 4.921634055140003, min values: 4.9661e-07, max values: 39.017, median values: 0.28871, and quantile values: 0.25 0.076364\n0.50 0.288710\n0.75 1.094200\nName: 7155, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4257990236139813, std values: 4.812233439096636, min values: 3.0423e-08, max values: 39.49, median values: 0.22553, and quantile values: 0.25 0.045854\n0.50 0.225530\n0.75 0.891250\nName: 7156, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.44758214025522, std values: 5.15061140824425, min values: 2.458e-08, max values: 45.639, median values: 0.17906, and quantile values: 0.25 0.046606\n0.50 0.179060\n0.75 0.752270\nName: 7157, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5534663391031445, std values: 4.904613091487953, min values: 1.2084e-06, max values: 38.834, median values: 0.22608, and quantile values: 0.25 0.069616\n0.50 0.226080\n0.75 0.984040\nName: 7158, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6102357775928304, std values: 4.966898963528767, min values: 2.7196e-07, max values: 40.47, median values: 0.26732, and quantile values: 0.25 0.070102\n0.50 0.267320\n0.75 1.086750\nName: 7159, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.398123689386151, std values: 4.826413618644558, min values: 2.3778e-08, max values: 40.265, median values: 0.20189, and quantile values: 0.25 0.045910\n0.50 0.201890\n0.75 0.754925\nName: 7160, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6299560947006289, std values: 5.079720506725404, min values: 5.795e-06, max values: 39.428, median values: 0.26363, and quantile values: 0.25 0.080919\n0.50 0.263630\n0.75 0.952810\nName: 7161, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4065501568880505, std values: 4.990369694816663, min values: 2.1903e-07, max values: 43.188, median values: 0.19664, and quantile values: 0.25 0.044156\n0.50 0.196640\n0.75 0.701315\nName: 7162, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5623156168754717, std values: 4.935000929339783, min values: 7.259e-07, max values: 39.272, median values: 0.23158, and quantile values: 0.25 0.063948\n0.50 0.231580\n0.75 0.975365\nName: 7163, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.429017701511258, std values: 4.760128314526166, min values: 8.0429e-07, max values: 37.907, median values: 0.21681, and quantile values: 0.25 0.059142\n0.50 0.216810\n0.75 0.889620\nName: 7164, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6832774054540882, std values: 5.189951334841789, min values: 1.1393e-06, max values: 43.602, median values: 0.29646, and quantile values: 0.25 0.074959\n0.50 0.296460\n0.75 1.121150\nName: 7165, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3537039865830187, std values: 4.58556698710716, min values: 2.7947e-06, max values: 40.113, median values: 0.20374, and quantile values: 0.25 0.058781\n0.50 0.203740\n0.75 0.806890\nName: 7166, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.489010085738113, std values: 4.871242191456812, min values: 1.0006e-07, max values: 39.804, median values: 0.21263, and quantile values: 0.25 0.053191\n0.50 0.212630\n0.75 0.905390\nName: 7167, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.507003226174214, std values: 4.785078434627522, min values: 1.9721e-06, max values: 39.41, median values: 0.24196, and quantile values: 0.25 0.069177\n0.50 0.241960\n0.75 0.972695\nName: 7168, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5975098302628932, std values: 4.957810052213355, min values: 3.0923e-06, max values: 40.012, median values: 0.27622, and quantile values: 0.25 0.075736\n0.50 0.276220\n0.75 0.979615\nName: 7169, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2889918946018868, std values: 4.924676257948206, min values: 3.1653e-06, max values: 40.302, median values: 0.15904, and quantile values: 0.25 0.048343\n0.50 0.159040\n0.75 0.651840\nName: 7170, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5241379356222013, std values: 4.747592642950398, min values: 3.8433e-07, max values: 37.401, median values: 0.23466, and quantile values: 0.25 0.069626\n0.50 0.234660\n0.75 1.018750\nName: 7171, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4197299578520755, std values: 4.718765417097609, min values: 8.4078e-07, max values: 37.691, median values: 0.20824, and quantile values: 0.25 0.057911\n0.50 0.208240\n0.75 0.837565\nName: 7172, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4544092448802517, std values: 5.3550465609171845, min values: 8.3306e-07, max values: 48.707, median values: 0.17409, and quantile values: 0.25 0.059285\n0.50 0.174090\n0.75 0.809255\nName: 7173, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6296612950933334, std values: 4.99800918631845, min values: 1.4474e-07, max values: 40.87, median values: 0.23182, and quantile values: 0.25 0.059405\n0.50 0.231820\n0.75 1.090700\nName: 7174, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5928966874383648, std values: 5.164090706418318, min values: 5.1745e-06, max values: 41.225, median values: 0.24932, and quantile values: 0.25 0.072790\n0.50 0.249320\n0.75 0.933345\nName: 7175, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7343710048427672, std values: 5.102007513094619, min values: 4.8174e-06, max values: 40.563, median values: 0.27749, and quantile values: 0.25 0.077616\n0.50 0.277490\n0.75 1.146250\nName: 7176, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5089542656485095, std values: 4.844736398322951, min values: 3.6353e-08, max values: 39.502, median values: 0.24194, and quantile values: 0.25 0.057044\n0.50 0.241940\n0.75 1.010000\nName: 7177, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3263065240088048, std values: 4.7236894238691525, min values: 2.0033e-06, max values: 38.463, median values: 0.18304, and quantile values: 0.25 0.060095\n0.50 0.183040\n0.75 0.742820\nName: 7178, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4419258087276727, std values: 4.931016551571427, min values: 1.7841e-06, max values: 39.834, median values: 0.21026, and quantile values: 0.25 0.058585\n0.50 0.210260\n0.75 0.851695\nName: 7179, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4521047863367924, std values: 4.75330152187295, min values: 3.3065e-07, max values: 37.954, median values: 0.20919, and quantile values: 0.25 0.058435\n0.50 0.209190\n0.75 0.945670\nName: 7180, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3952611624816982, std values: 4.815012097878833, min values: 2.1969e-07, max values: 38.703, median values: 0.23002, and quantile values: 0.25 0.057788\n0.50 0.230020\n0.75 0.776895\nName: 7181, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.28903097223522, std values: 4.735020343659884, min values: 1.0273e-06, max values: 38.445, median values: 0.15506, and quantile values: 0.25 0.052947\n0.50 0.155060\n0.75 0.706325\nName: 7182, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4995115179735852, std values: 5.304773770242479, min values: 2.4157e-06, max values: 46.331, median values: 0.20253, and quantile values: 0.25 0.058418\n0.50 0.202530\n0.75 0.839855\nName: 7183, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1442769609855346, std values: 4.48974192486201, min values: 2.2477e-06, max values: 39.105, median values: 0.14805, and quantile values: 0.25 0.04511\n0.50 0.14805\n0.75 0.44766\nName: 7184, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6188154317283647, std values: 4.999839093976361, min values: 3.9751e-07, max values: 40.482, median values: 0.2819, and quantile values: 0.25 0.065278\n0.50 0.281900\n0.75 1.087900\nName: 7185, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4545993404967925, std values: 4.88995624840825, min values: 5.3739e-07, max values: 39.991, median values: 0.18362, and quantile values: 0.25 0.050985\n0.50 0.183620\n0.75 0.862925\nName: 7186, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6666830491893083, std values: 5.1415754286237325, min values: 2.2188e-06, max values: 41.654, median values: 0.28363, and quantile values: 0.25 0.073109\n0.50 0.283630\n0.75 1.095000\nName: 7187, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4683455289123273, std values: 4.779125591956913, min values: 5.8146e-07, max values: 37.672, median values: 0.23984, and quantile values: 0.25 0.060747\n0.50 0.239840\n0.75 0.939490\nName: 7188, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4541992212949686, std values: 5.052837442802442, min values: 2.2153e-06, max values: 41.665, median values: 0.18956, and quantile values: 0.25 0.070334\n0.50 0.189560\n0.75 0.824380\nName: 7189, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3924894490996855, std values: 4.940524391081836, min values: 5.6395e-07, max values: 41.32, median values: 0.19216, and quantile values: 0.25 0.058148\n0.50 0.192160\n0.75 0.747660\nName: 7190, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.448536259444025, std values: 4.848823757005379, min values: 1.11e-06, max values: 38.911, median values: 0.22116, and quantile values: 0.25 0.066447\n0.50 0.221160\n0.75 0.854250\nName: 7191, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1436607307163522, std values: 4.857940419931088, min values: 1.2088e-06, max values: 39.692, median values: 0.12524, and quantile values: 0.25 0.034620\n0.50 0.125240\n0.75 0.531295\nName: 7192, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7277533109075476, std values: 5.219113531359273, min values: 4.2054e-06, max values: 41.805, median values: 0.29532, and quantile values: 0.25 0.089135\n0.50 0.295320\n0.75 1.138600\nName: 7193, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.468680602831132, std values: 4.844440790152605, min values: 6.4005e-07, max values: 39.392, median values: 0.19584, and quantile values: 0.25 0.056388\n0.50 0.195840\n0.75 0.816455\nName: 7194, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3477696036614908, std values: 4.730994697448568, min values: 2.4877e-08, max values: 38.422, median values: 0.17395, and quantile values: 0.25 0.043924\n0.50 0.173950\n0.75 0.754580\nName: 7195, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3866806142558805, std values: 4.732360263982082, min values: 9.4305e-08, max values: 37.895, median values: 0.18515, and quantile values: 0.25 0.048850\n0.50 0.185150\n0.75 0.811825\nName: 7196, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4832489556893083, std values: 4.921305706245075, min values: 1.612e-06, max values: 40.02, median values: 0.23769, and quantile values: 0.25 0.068741\n0.50 0.237690\n0.75 0.847380\nName: 7197, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.610093528851572, std values: 4.966603474422772, min values: 3.9904e-06, max values: 39.795, median values: 0.25394, and quantile values: 0.25 0.074534\n0.50 0.253940\n0.75 1.004135\nName: 7198, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5663287029968553, std values: 5.067264224846641, min values: 3.5427e-06, max values: 40.28, median values: 0.25323, and quantile values: 0.25 0.074725\n0.50 0.253230\n0.75 0.882420\nName: 7199, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3911543858962265, std values: 4.898144542353236, min values: 1.2597e-06, max values: 39.533, median values: 0.18714, and quantile values: 0.25 0.059905\n0.50 0.187140\n0.75 0.810365\nName: 7200, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4945943706874214, std values: 4.953381380128094, min values: 3.361e-06, max values: 41.066, median values: 0.21509, and quantile values: 0.25 0.062945\n0.50 0.215090\n0.75 0.854700\nName: 7201, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5637310490188678, std values: 5.080688292299316, min values: 6.259e-07, max values: 40.285, median values: 0.23156, and quantile values: 0.25 0.068672\n0.50 0.231560\n0.75 0.955235\nName: 7202, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4780802303786162, std values: 5.083563178399665, min values: 4.0643e-06, max values: 41.407, median values: 0.22601, and quantile values: 0.25 0.065474\n0.50 0.226010\n0.75 0.836860\nName: 7203, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3982285424540881, std values: 4.662359855737708, min values: 1.8418e-06, max values: 38.403, median values: 0.2305, and quantile values: 0.25 0.067178\n0.50 0.230500\n0.75 0.845290\nName: 7204, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5495624034716982, std values: 5.189980091587511, min values: 3.0382e-06, max values: 42.771, median values: 0.24847, and quantile values: 0.25 0.067175\n0.50 0.248470\n0.75 0.961040\nName: 7205, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4061624873408805, std values: 5.101665815558466, min values: 1.0583e-06, max values: 44.186, median values: 0.20402, and quantile values: 0.25 0.055754\n0.50 0.204020\n0.75 0.735070\nName: 7206, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5025126984898112, std values: 4.931733703275128, min values: 8.6328e-07, max values: 39.876, median values: 0.22152, and quantile values: 0.25 0.058825\n0.50 0.221520\n0.75 0.932255\nName: 7207, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5377697237742138, std values: 5.0010845972859155, min values: 2.7615e-06, max values: 39.762, median values: 0.23791, and quantile values: 0.25 0.067779\n0.50 0.237910\n0.75 0.973205\nName: 7208, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.341425861720126, std values: 5.047156239366385, min values: 1.8038e-06, max values: 43.101, median values: 0.19739, and quantile values: 0.25 0.053382\n0.50 0.197390\n0.75 0.676835\nName: 7209, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5350562652419495, std values: 4.792660358108703, min values: 4.1407e-07, max values: 37.509, median values: 0.25398, and quantile values: 0.25 0.056516\n0.50 0.253980\n0.75 1.003920\nName: 7210, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3929690214703776, std values: 4.909924837012926, min values: 7.8509e-07, max values: 40.326, median values: 0.18551, and quantile values: 0.25 0.060703\n0.50 0.185510\n0.75 0.804175\nName: 7211, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3575761756232707, std values: 4.993241969959772, min values: 1.4507e-06, max values: 41.751, median values: 0.19035, and quantile values: 0.25 0.054889\n0.50 0.190350\n0.75 0.733525\nName: 7212, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4419327738354464, std values: 4.638802036450862, min values: 3.3646e-08, max values: 37.042, median values: 0.21417, and quantile values: 0.25 0.046523\n0.50 0.214170\n0.75 0.952135\nName: 7213, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.552794191320755, std values: 5.042489707746654, min values: 3.1108e-06, max values: 40.003, median values: 0.23201, and quantile values: 0.25 0.071978\n0.50 0.232010\n0.75 0.917025\nName: 7214, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3092299735908175, std values: 4.972921958151979, min values: 4.9584e-07, max values: 42.933, median values: 0.13838, and quantile values: 0.25 0.043526\n0.50 0.138380\n0.75 0.679680\nName: 7215, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3860911944825407, std values: 4.807213886927706, min values: 2.3164e-08, max values: 39.413, median values: 0.19638, and quantile values: 0.25 0.049834\n0.50 0.196380\n0.75 0.726340\nName: 7216, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.156459884266981, std values: 4.324859104115444, min values: 1.551e-07, max values: 36.59, median values: 0.14736, and quantile values: 0.25 0.039222\n0.50 0.147360\n0.75 0.563330\nName: 7217, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6045871051893081, std values: 4.951745723969671, min values: 2.6965e-06, max values: 39.117, median values: 0.2686, and quantile values: 0.25 0.073069\n0.50 0.268600\n0.75 1.055400\nName: 7218, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3899902027373585, std values: 4.883407430204795, min values: 3.2129e-07, max values: 40.374, median values: 0.17848, and quantile values: 0.25 0.050366\n0.50 0.178480\n0.75 0.703500\nName: 7219, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1362899890272957, std values: 4.4523428789612405, min values: 4.751e-07, max values: 36.933, median values: 0.11736, and quantile values: 0.25 0.032692\n0.50 0.117360\n0.75 0.533780\nName: 7220, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4359024701704401, std values: 4.8195920617294385, min values: 1.3297e-06, max values: 38.122, median values: 0.21356, and quantile values: 0.25 0.061655\n0.50 0.213560\n0.75 0.853840\nName: 7221, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5013527862872957, std values: 4.808957535180776, min values: 4.2978e-07, max values: 38.402, median values: 0.24784, and quantile values: 0.25 0.056053\n0.50 0.247840\n0.75 0.941560\nName: 7222, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5251746665578616, std values: 4.939472174404893, min values: 8.018e-07, max values: 39.564, median values: 0.22904, and quantile values: 0.25 0.071904\n0.50 0.229040\n0.75 0.948680\nName: 7223, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4753195842305662, std values: 4.986259149578972, min values: 1.7886e-07, max values: 41.472, median values: 0.22422, and quantile values: 0.25 0.056767\n0.50 0.224220\n0.75 0.911725\nName: 7224, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.241119117125157, std values: 4.555922798444042, min values: 1.0021e-06, max values: 37.545, median values: 0.1263, and quantile values: 0.25 0.039692\n0.50 0.126300\n0.75 0.576210\nName: 7225, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4254749965490565, std values: 4.78861431795439, min values: 2.068e-06, max values: 39.868, median values: 0.26989, and quantile values: 0.25 0.062600\n0.50 0.269890\n0.75 0.829455\nName: 7226, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6110893095767294, std values: 5.003787946723815, min values: 3.4189e-06, max values: 39.939, median values: 0.27871, and quantile values: 0.25 0.079748\n0.50 0.278710\n0.75 1.039650\nName: 7227, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8958813130295598, std values: 5.1555602441813555, min values: 6.8237e-06, max values: 40.377, median values: 0.33914, and quantile values: 0.25 0.098763\n0.50 0.339140\n0.75 1.237300\nName: 7228, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4534970507201257, std values: 4.79489333366081, min values: 1.0848e-06, max values: 38.373, median values: 0.22253, and quantile values: 0.25 0.076195\n0.50 0.222530\n0.75 0.860220\nName: 7229, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4683994855962264, std values: 4.776645738480524, min values: 2.6756e-06, max values: 39.227, median values: 0.23051, and quantile values: 0.25 0.065091\n0.50 0.230510\n0.75 0.911360\nName: 7230, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4851207212716981, std values: 4.89647244647328, min values: 1.9451e-06, max values: 38.873, median values: 0.21393, and quantile values: 0.25 0.063044\n0.50 0.213930\n0.75 0.859365\nName: 7231, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5376062583201258, std values: 5.237721894377108, min values: 3.3437e-06, max values: 43.781, median values: 0.23468, and quantile values: 0.25 0.067323\n0.50 0.234680\n0.75 0.879445\nName: 7232, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3551934941773585, std values: 4.894992429899503, min values: 1.7274e-07, max values: 41.88, median values: 0.19461, and quantile values: 0.25 0.047407\n0.50 0.194610\n0.75 0.724090\nName: 7233, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4001318028061636, std values: 4.768752741412479, min values: 2.6058e-07, max values: 38.177, median values: 0.19943, and quantile values: 0.25 0.057134\n0.50 0.199430\n0.75 0.831650\nName: 7234, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3070360868328303, std values: 4.874564245988503, min values: 1.7112e-07, max values: 41.456, median values: 0.18054, and quantile values: 0.25 0.041765\n0.50 0.180540\n0.75 0.655065\nName: 7235, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4950559933283019, std values: 5.132076548100448, min values: 2.8283e-06, max values: 42.085, median values: 0.21157, and quantile values: 0.25 0.063978\n0.50 0.211570\n0.75 0.823920\nName: 7236, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7612231862572327, std values: 5.193966995957105, min values: 2.667e-07, max values: 43.515, median values: 0.2682, and quantile values: 0.25 0.069455\n0.50 0.268200\n0.75 1.279450\nName: 7237, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3247035829783649, std values: 4.818307829277761, min values: 1.8887e-07, max values: 40.401, median values: 0.17498, and quantile values: 0.25 0.04073\n0.50 0.17498\n0.75 0.75158\nName: 7238, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5442217714044024, std values: 5.165197816348813, min values: 3.4369e-06, max values: 41.546, median values: 0.24559, and quantile values: 0.25 0.068069\n0.50 0.245590\n0.75 0.911420\nName: 7239, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2277783420332702, std values: 4.435910718252212, min values: 1.1162e-07, max values: 35.642, median values: 0.17376, and quantile values: 0.25 0.042069\n0.50 0.173760\n0.75 0.679700\nName: 7240, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2825114874003145, std values: 4.520737158597449, min values: 5.6955e-07, max values: 37.722, median values: 0.1513, and quantile values: 0.25 0.055147\n0.50 0.151300\n0.75 0.701945\nName: 7241, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3700335225667926, std values: 4.751576844000936, min values: 5.8072e-07, max values: 37.789, median values: 0.19513, and quantile values: 0.25 0.058177\n0.50 0.195130\n0.75 0.796160\nName: 7242, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3816615538616352, std values: 4.770232140078219, min values: 3.8818e-06, max values: 41.041, median values: 0.18809, and quantile values: 0.25 0.055447\n0.50 0.188090\n0.75 0.753645\nName: 7243, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.507856923200629, std values: 5.109912669078989, min values: 1.1732e-06, max values: 43.728, median values: 0.23916, and quantile values: 0.25 0.063939\n0.50 0.239160\n0.75 0.925825\nName: 7244, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3776818117708804, std values: 4.856531150583394, min values: 8.7937e-07, max values: 38.903, median values: 0.19239, and quantile values: 0.25 0.056526\n0.50 0.192390\n0.75 0.807815\nName: 7245, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7050581202840251, std values: 5.022032579987873, min values: 7.8316e-07, max values: 39.646, median values: 0.27706, and quantile values: 0.25 0.07656\n0.50 0.27706\n0.75 1.22040\nName: 7246, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4888247808266666, std values: 4.949018756563876, min values: 1.1514e-07, max values: 41.233, median values: 0.21289, and quantile values: 0.25 0.055646\n0.50 0.212890\n0.75 0.925245\nName: 7247, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4895965947993712, std values: 5.05392159972123, min values: 2.5217e-06, max values: 41.299, median values: 0.22628, and quantile values: 0.25 0.065335\n0.50 0.226280\n0.75 0.856890\nName: 7248, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6328087349830187, std values: 5.129807022694633, min values: 1.8159e-06, max values: 41.884, median values: 0.25961, and quantile values: 0.25 0.064777\n0.50 0.259610\n0.75 1.039800\nName: 7249, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1813646410222012, std values: 4.452475969203655, min values: 3.9663e-07, max values: 38.074, median values: 0.1318, and quantile values: 0.25 0.042633\n0.50 0.131800\n0.75 0.653955\nName: 7250, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5434169001666036, std values: 4.897685658474183, min values: 7.8469e-07, max values: 39.842, median values: 0.23475, and quantile values: 0.25 0.058354\n0.50 0.234750\n0.75 0.878275\nName: 7251, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5436539859484277, std values: 4.894328369738096, min values: 2.4718e-06, max values: 39.312, median values: 0.24749, and quantile values: 0.25 0.075512\n0.50 0.247490\n0.75 0.955520\nName: 7252, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.422946766898742, std values: 4.888873511282826, min values: 1.8185e-06, max values: 39.5, median values: 0.2161, and quantile values: 0.25 0.053088\n0.50 0.216100\n0.75 0.922485\nName: 7253, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6758139680952202, std values: 5.141951043481086, min values: 9.4674e-07, max values: 42.666, median values: 0.29115, and quantile values: 0.25 0.076661\n0.50 0.291150\n0.75 1.126200\nName: 7254, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5462701759238993, std values: 4.925639434992387, min values: 3.2096e-06, max values: 39.293, median values: 0.25427, and quantile values: 0.25 0.070923\n0.50 0.254270\n0.75 0.928195\nName: 7255, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6794895239817609, std values: 5.322545485595655, min values: 3.8085e-06, max values: 44.116, median values: 0.25197, and quantile values: 0.25 0.070895\n0.50 0.251970\n0.75 1.048600\nName: 7256, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3672511812789936, std values: 4.591395171765137, min values: 5.9946e-07, max values: 38.275, median values: 0.1978, and quantile values: 0.25 0.057961\n0.50 0.197800\n0.75 0.888180\nName: 7257, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3485395543993712, std values: 5.04881383128195, min values: 1.697e-06, max values: 43.108, median values: 0.19789, and quantile values: 0.25 0.056274\n0.50 0.197890\n0.75 0.712650\nName: 7258, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4939129068, std values: 5.034472066766513, min values: 2.046e-06, max values: 41.148, median values: 0.23554, and quantile values: 0.25 0.062523\n0.50 0.235540\n0.75 0.903260\nName: 7259, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6239107576540879, std values: 5.525730071853931, min values: 3.2201e-06, max values: 49.093, median values: 0.25647, and quantile values: 0.25 0.077135\n0.50 0.256470\n0.75 0.961080\nName: 7260, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3403143288503145, std values: 4.864592373669483, min values: 2.1197e-06, max values: 39.275, median values: 0.19345, and quantile values: 0.25 0.055985\n0.50 0.193450\n0.75 0.703280\nName: 7261, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5700686686242769, std values: 5.117636928466148, min values: 5.8626e-07, max values: 42.917, median values: 0.23082, and quantile values: 0.25 0.061971\n0.50 0.230820\n0.75 0.966765\nName: 7262, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5912057785761007, std values: 4.94382983233065, min values: 2.1502e-06, max values: 39.535, median values: 0.2339, and quantile values: 0.25 0.073599\n0.50 0.233900\n0.75 0.916510\nName: 7263, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4508198504157233, std values: 5.035830006113478, min values: 2.9091e-06, max values: 41.204, median values: 0.20447, and quantile values: 0.25 0.063893\n0.50 0.204470\n0.75 0.866200\nName: 7264, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7872174318842768, std values: 5.162459604067805, min values: 1.3762e-06, max values: 41.467, median values: 0.32798, and quantile values: 0.25 0.086824\n0.50 0.327980\n0.75 1.300800\nName: 7265, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4327997491201259, std values: 4.813733777063319, min values: 1.8868e-06, max values: 37.884, median values: 0.18816, and quantile values: 0.25 0.056627\n0.50 0.188160\n0.75 0.802935\nName: 7266, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5766778722333332, std values: 4.804174129117174, min values: 1.5935e-06, max values: 38.75, median values: 0.2632, and quantile values: 0.25 0.079418\n0.50 0.263200\n0.75 1.051000\nName: 7267, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.194733469504654, std values: 4.659895422479388, min values: 5.4844e-07, max values: 37.643, median values: 0.12445, and quantile values: 0.25 0.043567\n0.50 0.124450\n0.75 0.561890\nName: 7268, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8821097588352202, std values: 5.2068468808125346, min values: 3.5491e-06, max values: 40.228, median values: 0.32388, and quantile values: 0.25 0.095107\n0.50 0.323880\n0.75 1.310000\nName: 7269, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5286119447715094, std values: 5.013075693111893, min values: 6.8937e-07, max values: 41.515, median values: 0.22054, and quantile values: 0.25 0.060024\n0.50 0.220540\n0.75 0.911410\nName: 7270, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3200196998408802, std values: 4.8545088572739274, min values: 1.9254e-06, max values: 39.306, median values: 0.18909, and quantile values: 0.25 0.053099\n0.50 0.189090\n0.75 0.736670\nName: 7271, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3529267917930818, std values: 4.8469611566430535, min values: 1.0882e-06, max values: 39.502, median values: 0.19548, and quantile values: 0.25 0.062057\n0.50 0.195480\n0.75 0.755990\nName: 7272, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6115127244483647, std values: 5.015131294470308, min values: 1.6639e-07, max values: 41.483, median values: 0.22813, and quantile values: 0.25 0.060968\n0.50 0.228130\n0.75 1.044370\nName: 7273, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.411660881583019, std values: 4.769158427746877, min values: 1.3885e-06, max values: 39.496, median values: 0.21059, and quantile values: 0.25 0.068037\n0.50 0.210590\n0.75 0.836045\nName: 7274, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6452029875377359, std values: 5.20688331165099, min values: 4.0123e-06, max values: 42.297, median values: 0.26476, and quantile values: 0.25 0.071378\n0.50 0.264760\n0.75 1.011620\nName: 7275, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7845113738666665, std values: 5.27102061321195, min values: 3.007e-06, max values: 42.923, median values: 0.29128, and quantile values: 0.25 0.093521\n0.50 0.291280\n0.75 1.235650\nName: 7276, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4491623108597484, std values: 4.740513597919407, min values: 3.895e-07, max values: 37.437, median values: 0.22035, and quantile values: 0.25 0.053649\n0.50 0.220350\n0.75 0.873485\nName: 7277, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3977781838773584, std values: 4.8184427967481405, min values: 1.8057e-06, max values: 39.204, median values: 0.19628, and quantile values: 0.25 0.062411\n0.50 0.196280\n0.75 0.819435\nName: 7278, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.359141924928931, std values: 4.8783713812250245, min values: 2.5675e-06, max values: 39.894, median values: 0.19943, and quantile values: 0.25 0.059578\n0.50 0.199430\n0.75 0.738975\nName: 7279, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5177688674866037, std values: 4.947848236305294, min values: 7.2027e-07, max values: 40.268, median values: 0.22716, and quantile values: 0.25 0.064109\n0.50 0.227160\n0.75 0.898725\nName: 7280, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.458416941416981, std values: 4.912511722227121, min values: 2.6586e-06, max values: 39.801, median values: 0.21615, and quantile values: 0.25 0.063329\n0.50 0.216150\n0.75 0.874490\nName: 7281, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4913045826433962, std values: 4.972604992723625, min values: 1.2348e-06, max values: 40.144, median values: 0.20253, and quantile values: 0.25 0.054051\n0.50 0.202530\n0.75 0.978980\nName: 7282, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.585038990537107, std values: 5.120099631562314, min values: 1.3574e-06, max values: 42.927, median values: 0.24947, and quantile values: 0.25 0.068983\n0.50 0.249470\n0.75 0.947325\nName: 7283, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7004365538415096, std values: 5.035027140252664, min values: 2.3064e-06, max values: 39.833, median values: 0.29265, and quantile values: 0.25 0.067356\n0.50 0.292650\n0.75 1.206450\nName: 7284, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.122889723915434, std values: 4.656150869601273, min values: 6.0174e-08, max values: 39.908, median values: 0.097364, and quantile values: 0.25 0.021592\n0.50 0.097364\n0.75 0.448445\nName: 7285, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3144539053132076, std values: 4.899273108496339, min values: 1.4142e-06, max values: 40.46, median values: 0.19545, and quantile values: 0.25 0.061363\n0.50 0.195450\n0.75 0.713495\nName: 7286, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4418164587044027, std values: 4.870815995482642, min values: 1.7525e-06, max values: 39.479, median values: 0.21153, and quantile values: 0.25 0.062873\n0.50 0.211530\n0.75 0.843100\nName: 7287, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4224368437937107, std values: 4.8169087571309435, min values: 1.5506e-06, max values: 39.903, median values: 0.20231, and quantile values: 0.25 0.060801\n0.50 0.202310\n0.75 0.817020\nName: 7288, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6919424030415096, std values: 5.1702044111130725, min values: 1.0261e-06, max values: 42.766, median values: 0.24828, and quantile values: 0.25 0.069556\n0.50 0.248280\n0.75 1.107800\nName: 7289, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6176857599342138, std values: 4.883129334208465, min values: 3.5404e-07, max values: 38.102, median values: 0.24618, and quantile values: 0.25 0.06227\n0.50 0.24618\n0.75 1.13790\nName: 7290, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5663670650905661, std values: 4.91442728829981, min values: 2.8061e-06, max values: 39.899, median values: 0.26566, and quantile values: 0.25 0.068795\n0.50 0.265660\n0.75 1.078100\nName: 7291, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6648515072610064, std values: 5.070685593751971, min values: 2.5102e-06, max values: 39.589, median values: 0.26614, and quantile values: 0.25 0.081681\n0.50 0.266140\n0.75 1.070000\nName: 7292, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3242373294137106, std values: 4.564491645557334, min values: 5.3388e-07, max values: 38.171, median values: 0.18246, and quantile values: 0.25 0.049777\n0.50 0.182460\n0.75 0.714865\nName: 7293, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6358906306333334, std values: 5.172924577809038, min values: 2.9861e-06, max values: 41.84, median values: 0.2629, and quantile values: 0.25 0.065976\n0.50 0.262900\n0.75 1.041900\nName: 7294, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.553452566457233, std values: 5.010850310994031, min values: 3.7136e-06, max values: 40.613, median values: 0.22103, and quantile values: 0.25 0.076225\n0.50 0.221030\n0.75 0.891510\nName: 7295, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3629231830503146, std values: 5.0317789718609065, min values: 1.2485e-06, max values: 42.594, median values: 0.1998, and quantile values: 0.25 0.055716\n0.50 0.199800\n0.75 0.771085\nName: 7296, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5424148850578618, std values: 5.047841791617692, min values: 1.6903e-06, max values: 41.576, median values: 0.24076, and quantile values: 0.25 0.070211\n0.50 0.240760\n0.75 1.013505\nName: 7297, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7239972379395596, std values: 5.131085963506137, min values: 3.3779e-07, max values: 41.916, median values: 0.2798, and quantile values: 0.25 0.074115\n0.50 0.279800\n0.75 1.169400\nName: 7298, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7553543059515724, std values: 5.294813432860315, min values: 5.218e-07, max values: 45.193, median values: 0.21578, and quantile values: 0.25 0.058786\n0.50 0.215780\n0.75 1.128150\nName: 7299, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6697052047622643, std values: 5.387978599097904, min values: 5.7159e-06, max values: 44.547, median values: 0.24132, and quantile values: 0.25 0.074666\n0.50 0.241320\n0.75 0.949415\nName: 7300, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.564339001797799, std values: 4.847919326518817, min values: 1.5025e-07, max values: 37.988, median values: 0.24587, and quantile values: 0.25 0.065975\n0.50 0.245870\n0.75 1.066950\nName: 7301, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5045931656980502, std values: 4.812000766482123, min values: 6.8569e-07, max values: 37.965, median values: 0.22157, and quantile values: 0.25 0.052679\n0.50 0.221570\n0.75 0.887845\nName: 7302, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.136952151004151, std values: 4.580715230035005, min values: 7.4196e-07, max values: 38.565, median values: 0.12408, and quantile values: 0.25 0.042021\n0.50 0.124080\n0.75 0.555950\nName: 7303, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5965363360786793, std values: 4.931820887330347, min values: 4.8371e-07, max values: 39.064, median values: 0.25911, and quantile values: 0.25 0.069442\n0.50 0.259110\n0.75 1.080125\nName: 7304, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.618283984864151, std values: 5.250472655708295, min values: 1.3805e-06, max values: 44.669, median values: 0.219, and quantile values: 0.25 0.052138\n0.50 0.219000\n0.75 1.001235\nName: 7305, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7501408231320756, std values: 5.13347043516983, min values: 1.5377e-06, max values: 40.453, median values: 0.26943, and quantile values: 0.25 0.069325\n0.50 0.269430\n0.75 1.291000\nName: 7306, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5551482378251573, std values: 4.848813410774132, min values: 1.2168e-06, max values: 39.127, median values: 0.23349, and quantile values: 0.25 0.064887\n0.50 0.233490\n0.75 1.041000\nName: 7307, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4232528898440882, std values: 4.86627969744049, min values: 6.0931e-07, max values: 40.296, median values: 0.22101, and quantile values: 0.25 0.057425\n0.50 0.221010\n0.75 0.836955\nName: 7308, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4682191702295597, std values: 4.975407424656907, min values: 2.9541e-06, max values: 39.884, median values: 0.2146, and quantile values: 0.25 0.066318\n0.50 0.214600\n0.75 0.858155\nName: 7309, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.925477776118868, std values: 5.503057038158469, min values: 1.431e-06, max values: 46.687, median values: 0.36772, and quantile values: 0.25 0.099044\n0.50 0.367720\n0.75 1.375650\nName: 7310, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4822678284301887, std values: 4.917176283685195, min values: 3.4668e-06, max values: 40.428, median values: 0.22531, and quantile values: 0.25 0.065569\n0.50 0.225310\n0.75 0.831315\nName: 7311, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5376930090610064, std values: 5.004152491828349, min values: 1.6423e-06, max values: 41.149, median values: 0.23851, and quantile values: 0.25 0.066586\n0.50 0.238510\n0.75 0.981375\nName: 7312, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.392392454242201, std values: 4.700322470674047, min values: 8.3001e-07, max values: 38.72, median values: 0.18872, and quantile values: 0.25 0.058849\n0.50 0.188720\n0.75 0.850460\nName: 7313, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.51916682794717, std values: 4.952415900453325, min values: 1.854e-06, max values: 39.521, median values: 0.23674, and quantile values: 0.25 0.068667\n0.50 0.236740\n0.75 0.955535\nName: 7314, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3687087217077358, std values: 4.778088077498089, min values: 3.3263e-07, max values: 38.581, median values: 0.21017, and quantile values: 0.25 0.05266\n0.50 0.21017\n0.75 0.79128\nName: 7315, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4461629891168493, std values: 4.977955767256408, min values: 2.1079e-08, max values: 42.505, median values: 0.21628, and quantile values: 0.25 0.059250\n0.50 0.216280\n0.75 0.896685\nName: 7316, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3953627996987739, std values: 4.977478416783476, min values: 2.9095e-08, max values: 43.191, median values: 0.19093, and quantile values: 0.25 0.041579\n0.50 0.190930\n0.75 0.720655\nName: 7317, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3261093308628302, std values: 4.805705389438108, min values: 9.7159e-07, max values: 38.597, median values: 0.17272, and quantile values: 0.25 0.050819\n0.50 0.172720\n0.75 0.737750\nName: 7318, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.289447294883899, std values: 4.841629974502496, min values: 1.934e-08, max values: 40.338, median values: 0.1616, and quantile values: 0.25 0.041343\n0.50 0.161600\n0.75 0.729125\nName: 7319, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7868683530163523, std values: 5.215654417368455, min values: 1.6968e-06, max values: 42.781, median values: 0.34144, and quantile values: 0.25 0.08855\n0.50 0.34144\n0.75 1.25325\nName: 7320, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.58734385146522, std values: 4.6810707925804955, min values: 1.4727e-07, max values: 37.562, median values: 0.27586, and quantile values: 0.25 0.064799\n0.50 0.275860\n0.75 1.068500\nName: 7321, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7075382547446543, std values: 5.281890884000074, min values: 3.0293e-06, max values: 44.063, median values: 0.28388, and quantile values: 0.25 0.084111\n0.50 0.283880\n0.75 1.156750\nName: 7322, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5715308040666667, std values: 4.839698420393033, min values: 1.317e-06, max values: 40.231, median values: 0.25582, and quantile values: 0.25 0.072936\n0.50 0.255820\n0.75 0.973230\nName: 7323, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.387850301781761, std values: 4.990563050113118, min values: 1.8852e-06, max values: 40.896, median values: 0.20119, and quantile values: 0.25 0.054813\n0.50 0.201190\n0.75 0.824975\nName: 7324, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4008763902308177, std values: 4.891800854352481, min values: 1.4603e-06, max values: 39.444, median values: 0.19899, and quantile values: 0.25 0.058782\n0.50 0.198990\n0.75 0.840400\nName: 7325, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5524160739574215, std values: 5.468763419779862, min values: 5.6513e-07, max values: 50.727, median values: 0.20949, and quantile values: 0.25 0.053187\n0.50 0.209490\n0.75 0.840330\nName: 7326, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4724431392550317, std values: 4.755314668976541, min values: 7.2185e-07, max values: 38.712, median values: 0.22254, and quantile values: 0.25 0.063017\n0.50 0.222540\n0.75 0.926085\nName: 7327, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.320509533463522, std values: 4.631548937174049, min values: 2.178e-07, max values: 37.368, median values: 0.16739, and quantile values: 0.25 0.047255\n0.50 0.167390\n0.75 0.701245\nName: 7328, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4408548362698113, std values: 4.700272170229739, min values: 1.6469e-06, max values: 38.409, median values: 0.2352, and quantile values: 0.25 0.066566\n0.50 0.235200\n0.75 0.911125\nName: 7329, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4176955044803772, std values: 4.714632826478161, min values: 9.3168e-07, max values: 38.751, median values: 0.22143, and quantile values: 0.25 0.06893\n0.50 0.22143\n0.75 0.84636\nName: 7330, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5667502301786165, std values: 4.840250963479817, min values: 1.568e-06, max values: 39.257, median values: 0.24413, and quantile values: 0.25 0.073899\n0.50 0.244130\n0.75 1.023200\nName: 7331, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7537789150150944, std values: 4.955337080630401, min values: 2.9989e-06, max values: 39.082, median values: 0.30695, and quantile values: 0.25 0.088702\n0.50 0.306950\n0.75 1.218900\nName: 7332, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3638905031189936, std values: 4.936588744903444, min values: 2.582e-08, max values: 42.187, median values: 0.16134, and quantile values: 0.25 0.039718\n0.50 0.161340\n0.75 0.696965\nName: 7333, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3276154692040254, std values: 4.472749116663623, min values: 3.654e-08, max values: 36.768, median values: 0.22287, and quantile values: 0.25 0.045975\n0.50 0.222870\n0.75 0.824815\nName: 7334, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3022231528503145, std values: 4.693173249601218, min values: 2.9343e-06, max values: 39.112, median values: 0.18547, and quantile values: 0.25 0.059451\n0.50 0.185470\n0.75 0.630795\nName: 7335, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6524522908081762, std values: 5.2961084037203285, min values: 8.7765e-06, max values: 42.742, median values: 0.23829, and quantile values: 0.25 0.078145\n0.50 0.238290\n0.75 0.990420\nName: 7336, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4422755914433962, std values: 4.753735632970109, min values: 1.5495e-06, max values: 38.891, median values: 0.24234, and quantile values: 0.25 0.065019\n0.50 0.242340\n0.75 0.853695\nName: 7337, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3740658858685533, std values: 4.652250973753671, min values: 2.0999e-06, max values: 38.903, median values: 0.17575, and quantile values: 0.25 0.056036\n0.50 0.175750\n0.75 0.829670\nName: 7338, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6549502767691824, std values: 5.218572012771473, min values: 5.4479e-06, max values: 41.929, median values: 0.28775, and quantile values: 0.25 0.081575\n0.50 0.287750\n0.75 0.971860\nName: 7339, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.373294885749629, std values: 4.809083189059196, min values: 6.8011e-08, max values: 40.002, median values: 0.15963, and quantile values: 0.25 0.045349\n0.50 0.159630\n0.75 0.712845\nName: 7340, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3239238721323898, std values: 4.5998059527628445, min values: 3.1045e-07, max values: 38.093, median values: 0.19378, and quantile values: 0.25 0.052077\n0.50 0.193780\n0.75 0.763250\nName: 7341, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3868808457062893, std values: 4.611897871709218, min values: 1.7387e-06, max values: 38.381, median values: 0.24174, and quantile values: 0.25 0.071036\n0.50 0.241740\n0.75 0.806335\nName: 7342, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.538876928909434, std values: 5.043535689176599, min values: 2.8698e-06, max values: 40.712, median values: 0.22685, and quantile values: 0.25 0.065775\n0.50 0.226850\n0.75 0.908015\nName: 7343, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5563843940481132, std values: 4.954720491166066, min values: 9.9265e-07, max values: 39.552, median values: 0.25388, and quantile values: 0.25 0.070296\n0.50 0.253880\n0.75 1.007040\nName: 7344, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6444786860251572, std values: 5.217051970323453, min values: 2.13e-06, max values: 43.092, median values: 0.26947, and quantile values: 0.25 0.069666\n0.50 0.269470\n0.75 1.019400\nName: 7345, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.81848068515283, std values: 5.512040102527681, min values: 4.743e-06, max values: 46.297, median values: 0.29344, and quantile values: 0.25 0.075984\n0.50 0.293440\n0.75 1.183200\nName: 7346, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5733617493361005, std values: 5.090641643016657, min values: 6.1174e-07, max values: 43.563, median values: 0.24936, and quantile values: 0.25 0.061337\n0.50 0.249360\n0.75 0.899270\nName: 7347, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7126130317371069, std values: 5.4008904510852895, min values: 4.3893e-06, max values: 45.598, median values: 0.27339, and quantile values: 0.25 0.078911\n0.50 0.273390\n0.75 1.090800\nName: 7348, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4762656295591947, std values: 4.82224598789113, min values: 3.1032e-08, max values: 39.367, median values: 0.21145, and quantile values: 0.25 0.047477\n0.50 0.211450\n0.75 0.907680\nName: 7349, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.710488606691824, std values: 5.078892996118362, min values: 4.6495e-06, max values: 39.898, median values: 0.26242, and quantile values: 0.25 0.084588\n0.50 0.262420\n0.75 1.064050\nName: 7350, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.399538456333585, std values: 4.820329743373611, min values: 8.0704e-07, max values: 38.546, median values: 0.20001, and quantile values: 0.25 0.058775\n0.50 0.200010\n0.75 0.813240\nName: 7351, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.400561386947044, std values: 4.763638175237251, min values: 9.1398e-07, max values: 38.181, median values: 0.21072, and quantile values: 0.25 0.062042\n0.50 0.210720\n0.75 0.864260\nName: 7352, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5906518824723272, std values: 5.006502810431084, min values: 6.6179e-06, max values: 41.231, median values: 0.26646, and quantile values: 0.25 0.063001\n0.50 0.266460\n0.75 0.917295\nName: 7353, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.428684306959434, std values: 4.913580843040863, min values: 5.4655e-07, max values: 40.497, median values: 0.22249, and quantile values: 0.25 0.059391\n0.50 0.222490\n0.75 0.826320\nName: 7354, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3572128002191195, std values: 4.892775264931276, min values: 3.5074e-07, max values: 40.99, median values: 0.17356, and quantile values: 0.25 0.04688\n0.50 0.17356\n0.75 0.72860\nName: 7355, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4173942523379874, std values: 4.769323875633484, min values: 2.2647e-07, max values: 38.494, median values: 0.20523, and quantile values: 0.25 0.054874\n0.50 0.205230\n0.75 0.805545\nName: 7356, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3015859415371698, std values: 4.875127658938959, min values: 9.1821e-07, max values: 39.624, median values: 0.15766, and quantile values: 0.25 0.050715\n0.50 0.157660\n0.75 0.690610\nName: 7357, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4759938711075473, std values: 4.904705897094501, min values: 1.9163e-06, max values: 39.048, median values: 0.21577, and quantile values: 0.25 0.067585\n0.50 0.215770\n0.75 0.918915\nName: 7358, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3807681136528303, std values: 5.234972248283361, min values: 2.4607e-06, max values: 44.591, median values: 0.18408, and quantile values: 0.25 0.052977\n0.50 0.184080\n0.75 0.675790\nName: 7359, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5469789142742139, std values: 4.915102990334914, min values: 1.4387e-06, max values: 39.06, median values: 0.2514, and quantile values: 0.25 0.074132\n0.50 0.251400\n0.75 0.946350\nName: 7360, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4064467359113209, std values: 4.8534560833787115, min values: 7.965e-07, max values: 38.944, median values: 0.17689, and quantile values: 0.25 0.05000\n0.50 0.17689\n0.75 0.82332\nName: 7361, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5737842208038995, std values: 5.025463164587234, min values: 5.7292e-07, max values: 41.465, median values: 0.22552, and quantile values: 0.25 0.064677\n0.50 0.225520\n0.75 1.047800\nName: 7362, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7433462558106916, std values: 4.978953011495355, min values: 1.3261e-06, max values: 38.405, median values: 0.32009, and quantile values: 0.25 0.086038\n0.50 0.320090\n0.75 1.260100\nName: 7363, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8217603698301885, std values: 5.4815400127480425, min values: 2.13e-06, max values: 41.476, median values: 0.30238, and quantile values: 0.25 0.08058\n0.50 0.30238\n0.75 1.06550\nName: 7364, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5229487379494966, std values: 4.925910261007296, min values: 5.6697e-07, max values: 40.157, median values: 0.21982, and quantile values: 0.25 0.063504\n0.50 0.219820\n0.75 0.993185\nName: 7365, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4298601903698112, std values: 5.037832669390229, min values: 1.9293e-06, max values: 41.229, median values: 0.22493, and quantile values: 0.25 0.058732\n0.50 0.224930\n0.75 0.801740\nName: 7366, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4723680337660376, std values: 4.797769772314679, min values: 1.3832e-06, max values: 38.566, median values: 0.21321, and quantile values: 0.25 0.063993\n0.50 0.213210\n0.75 0.917140\nName: 7367, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.473791263662264, std values: 5.051657297575856, min values: 2.7404e-06, max values: 41.286, median values: 0.23397, and quantile values: 0.25 0.068034\n0.50 0.233970\n0.75 0.784830\nName: 7368, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4205288587622642, std values: 4.996905858234964, min values: 1.0202e-06, max values: 42.066, median values: 0.18754, and quantile values: 0.25 0.060283\n0.50 0.187540\n0.75 0.712685\nName: 7369, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.477329477745283, std values: 4.771000921594056, min values: 1.7198e-06, max values: 39.553, median values: 0.22351, and quantile values: 0.25 0.063424\n0.50 0.223510\n0.75 0.906735\nName: 7370, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.602651665352264, std values: 4.884581294409693, min values: 1.927e-08, max values: 39.356, median values: 0.21398, and quantile values: 0.25 0.053576\n0.50 0.213980\n0.75 0.983435\nName: 7371, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3855987535492453, std values: 4.5759296542968615, min values: 9.1263e-07, max values: 37.815, median values: 0.22711, and quantile values: 0.25 0.068165\n0.50 0.227110\n0.75 0.833705\nName: 7372, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3802535655093962, std values: 4.767520476754118, min values: 1.7854e-08, max values: 40.046, median values: 0.16448, and quantile values: 0.25 0.038467\n0.50 0.164480\n0.75 0.720890\nName: 7373, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2257910650710693, std values: 4.6303337392875905, min values: 1.0769e-06, max values: 38.703, median values: 0.16224, and quantile values: 0.25 0.049839\n0.50 0.162240\n0.75 0.648230\nName: 7374, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5949271897182389, std values: 5.048883087748658, min values: 2.4264e-06, max values: 39.696, median values: 0.25387, and quantile values: 0.25 0.063328\n0.50 0.253870\n0.75 1.105850\nName: 7375, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5385568688, std values: 5.140396809021527, min values: 1.4824e-06, max values: 43.455, median values: 0.21497, and quantile values: 0.25 0.066823\n0.50 0.214970\n0.75 0.935075\nName: 7376, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3452793303696289, std values: 4.584932931216856, min values: 2.1831e-08, max values: 36.953, median values: 0.17082, and quantile values: 0.25 0.047119\n0.50 0.170820\n0.75 0.741790\nName: 7377, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5093223557924529, std values: 4.903957486444714, min values: 2.2242e-06, max values: 39.255, median values: 0.24388, and quantile values: 0.25 0.067645\n0.50 0.243880\n0.75 0.935040\nName: 7378, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6505076167220125, std values: 5.025345337124954, min values: 3.9637e-06, max values: 40.382, median values: 0.25479, and quantile values: 0.25 0.078193\n0.50 0.254790\n0.75 1.055700\nName: 7379, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6221017746773585, std values: 5.1317988765178235, min values: 1.1371e-06, max values: 43.075, median values: 0.23028, and quantile values: 0.25 0.061524\n0.50 0.230280\n0.75 1.015500\nName: 7380, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6315875985943395, std values: 5.098932936160149, min values: 2.8546e-06, max values: 41.256, median values: 0.26628, and quantile values: 0.25 0.073609\n0.50 0.266280\n0.75 1.087550\nName: 7381, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.396714768245283, std values: 4.862509072360013, min values: 1.8986e-06, max values: 39.634, median values: 0.2375, and quantile values: 0.25 0.063574\n0.50 0.237500\n0.75 0.779780\nName: 7382, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3805044279323708, std values: 4.591231929958184, min values: 1.8657e-08, max values: 36.155, median values: 0.19954, and quantile values: 0.25 0.044579\n0.50 0.199540\n0.75 0.744255\nName: 7383, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5377967559132073, std values: 5.127348547596449, min values: 2.5914e-06, max values: 42.055, median values: 0.22691, and quantile values: 0.25 0.065833\n0.50 0.226910\n0.75 0.928720\nName: 7384, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3944421163298302, std values: 4.496197398057107, min values: 1.5323e-08, max values: 35.173, median values: 0.16946, and quantile values: 0.25 0.040342\n0.50 0.169460\n0.75 0.757970\nName: 7385, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5686576080742138, std values: 5.187893219520697, min values: 3.6346e-06, max values: 42.272, median values: 0.24959, and quantile values: 0.25 0.079533\n0.50 0.249590\n0.75 0.934265\nName: 7386, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2422353111855347, std values: 4.836982434474701, min values: 1.1988e-06, max values: 39.275, median values: 0.16694, and quantile values: 0.25 0.043430\n0.50 0.166940\n0.75 0.691295\nName: 7387, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4165867583696854, std values: 4.715152041480441, min values: 8.8478e-07, max values: 38.248, median values: 0.21159, and quantile values: 0.25 0.057542\n0.50 0.211590\n0.75 0.915895\nName: 7388, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7054483165383647, std values: 5.041843917328843, min values: 2.3259e-06, max values: 39.419, median values: 0.30152, and quantile values: 0.25 0.089584\n0.50 0.301520\n0.75 1.142300\nName: 7389, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8938286374433966, std values: 5.370813482733476, min values: 1.317e-06, max values: 43.839, median values: 0.35529, and quantile values: 0.25 0.100331\n0.50 0.355290\n0.75 1.386300\nName: 7390, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6342440673855345, std values: 5.098652390537448, min values: 2.8136e-06, max values: 40.496, median values: 0.25614, and quantile values: 0.25 0.079268\n0.50 0.256140\n0.75 1.009105\nName: 7391, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.662367817091195, std values: 4.871308513710589, min values: 1.2161e-06, max values: 38.475, median values: 0.29126, and quantile values: 0.25 0.080022\n0.50 0.291260\n0.75 1.159400\nName: 7392, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.235337197219585, std values: 4.711474991191676, min values: 1.8904e-08, max values: 39.394, median values: 0.13567, and quantile values: 0.25 0.032863\n0.50 0.135670\n0.75 0.614185\nName: 7393, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3082096384753459, std values: 4.8831917588668725, min values: 5.6718e-07, max values: 40.209, median values: 0.16341, and quantile values: 0.25 0.048553\n0.50 0.163410\n0.75 0.699990\nName: 7394, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6878631317742139, std values: 4.968715316190245, min values: 3.114e-06, max values: 40.401, median values: 0.28582, and quantile values: 0.25 0.082692\n0.50 0.285820\n0.75 1.042400\nName: 7395, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4204992240031447, std values: 4.8664022336915576, min values: 1.0483e-06, max values: 38.959, median values: 0.18923, and quantile values: 0.25 0.060196\n0.50 0.189230\n0.75 0.834605\nName: 7396, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4005207420351573, std values: 4.97268605905051, min values: 7.7539e-07, max values: 41.962, median values: 0.17839, and quantile values: 0.25 0.058710\n0.50 0.178390\n0.75 0.808775\nName: 7397, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4139737163558115, std values: 4.636560765479909, min values: 8.1774e-08, max values: 36.841, median values: 0.20383, and quantile values: 0.25 0.052833\n0.50 0.203830\n0.75 0.876900\nName: 7398, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4411032685238994, std values: 4.692988472755138, min values: 1.6604e-06, max values: 38.747, median values: 0.22559, and quantile values: 0.25 0.072750\n0.50 0.225590\n0.75 0.932885\nName: 7399, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7962876501125786, std values: 5.3969795970240355, min values: 2.6406e-06, max values: 45.149, median values: 0.32993, and quantile values: 0.25 0.083848\n0.50 0.329930\n0.75 1.178250\nName: 7400, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4827498626279245, std values: 4.585208390307399, min values: 2.6784e-07, max values: 37.435, median values: 0.22733, and quantile values: 0.25 0.058512\n0.50 0.227330\n0.75 0.944025\nName: 7401, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5798693066998741, std values: 5.0468610794299735, min values: 8.1238e-07, max values: 41.808, median values: 0.26779, and quantile values: 0.25 0.066844\n0.50 0.267790\n0.75 0.961735\nName: 7402, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4542765975162264, std values: 4.85908923751525, min values: 8.5128e-07, max values: 38.741, median values: 0.20703, and quantile values: 0.25 0.061183\n0.50 0.207030\n0.75 0.883095\nName: 7403, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.311909536328302, std values: 4.708233991328525, min values: 2.7074e-06, max values: 40.543, median values: 0.18638, and quantile values: 0.25 0.051542\n0.50 0.186380\n0.75 0.769305\nName: 7404, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2628961666029561, std values: 4.534222628594062, min values: 3.1337e-07, max values: 37.606, median values: 0.16936, and quantile values: 0.25 0.045669\n0.50 0.169360\n0.75 0.711975\nName: 7405, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.390863530755346, std values: 4.567725641057984, min values: 1.8897e-06, max values: 39.02, median values: 0.22026, and quantile values: 0.25 0.060201\n0.50 0.220260\n0.75 0.820445\nName: 7406, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5838641677459118, std values: 5.074190036737883, min values: 1.1089e-06, max values: 41.915, median values: 0.27306, and quantile values: 0.25 0.069259\n0.50 0.273060\n0.75 0.938915\nName: 7407, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5596435510917608, std values: 4.748824845256332, min values: 2.8699e-07, max values: 36.792, median values: 0.25136, and quantile values: 0.25 0.062877\n0.50 0.251360\n0.75 1.020050\nName: 7408, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2712280137893084, std values: 4.819733065809765, min values: 1.129e-06, max values: 39.595, median values: 0.16548, and quantile values: 0.25 0.05201\n0.50 0.16548\n0.75 0.67383\nName: 7409, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3655565191805032, std values: 4.785416650722675, min values: 2.184e-06, max values: 38.932, median values: 0.20361, and quantile values: 0.25 0.063643\n0.50 0.203610\n0.75 0.788130\nName: 7410, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1768378440136478, std values: 4.397191981292388, min values: 7.5557e-07, max values: 36.988, median values: 0.14819, and quantile values: 0.25 0.047608\n0.50 0.148190\n0.75 0.564450\nName: 7411, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4307253851125157, std values: 4.636518352478903, min values: 7.9829e-07, max values: 38.184, median values: 0.21012, and quantile values: 0.25 0.065724\n0.50 0.210120\n0.75 0.876140\nName: 7412, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.556961954874214, std values: 5.0629627450824, min values: 2.9041e-06, max values: 40.938, median values: 0.233, and quantile values: 0.25 0.074505\n0.50 0.233000\n0.75 0.944975\nName: 7413, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3378530203363146, std values: 4.640995684175882, min values: 3.0524e-08, max values: 37.191, median values: 0.19188, and quantile values: 0.25 0.04241\n0.50 0.19188\n0.75 0.75482\nName: 7414, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6184753445691824, std values: 4.897885373195237, min values: 1.3938e-06, max values: 38.254, median values: 0.26537, and quantile values: 0.25 0.072175\n0.50 0.265370\n0.75 1.114200\nName: 7415, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5404395951255976, std values: 4.914132519058014, min values: 4.5167e-07, max values: 39.747, median values: 0.24264, and quantile values: 0.25 0.063737\n0.50 0.242640\n0.75 0.969065\nName: 7416, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4305421238262266, std values: 4.737288954489937, min values: 3.7397e-07, max values: 37.297, median values: 0.16691, and quantile values: 0.25 0.047904\n0.50 0.166910\n0.75 0.817380\nName: 7417, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6752471931132076, std values: 5.102538057268276, min values: 2.8414e-06, max values: 40.469, median values: 0.32648, and quantile values: 0.25 0.071672\n0.50 0.326480\n0.75 1.103750\nName: 7418, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3510956915593082, std values: 4.806982066937954, min values: 1.483e-08, max values: 39.201, median values: 0.17174, and quantile values: 0.25 0.045262\n0.50 0.171740\n0.75 0.728490\nName: 7419, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.455439321496289, std values: 4.853348393928009, min values: 9.2991e-07, max values: 38.57, median values: 0.22145, and quantile values: 0.25 0.060757\n0.50 0.221450\n0.75 0.894040\nName: 7420, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.569249753371069, std values: 5.03100064125078, min values: 3.4264e-06, max values: 39.739, median values: 0.25561, and quantile values: 0.25 0.072629\n0.50 0.255610\n0.75 0.960230\nName: 7421, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3115159341579683, std values: 4.697159521972977, min values: 9.8957e-08, max values: 37.766, median values: 0.15358, and quantile values: 0.25 0.036331\n0.50 0.153580\n0.75 0.643555\nName: 7422, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4528713389056604, std values: 4.780900860180189, min values: 1.7454e-06, max values: 39.479, median values: 0.21324, and quantile values: 0.25 0.061175\n0.50 0.213240\n0.75 0.889310\nName: 7423, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4883346395557233, std values: 4.845045403687424, min values: 1.3931e-07, max values: 39.706, median values: 0.21449, and quantile values: 0.25 0.048671\n0.50 0.214490\n0.75 0.942375\nName: 7424, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4001442207108175, std values: 4.883006183697075, min values: 5.1183e-07, max values: 40.982, median values: 0.1543, and quantile values: 0.25 0.046779\n0.50 0.154300\n0.75 0.733600\nName: 7425, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.628775435779874, std values: 5.14901462428571, min values: 4.8306e-06, max values: 40.919, median values: 0.26525, and quantile values: 0.25 0.077433\n0.50 0.265250\n0.75 0.977105\nName: 7426, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6821676235584904, std values: 5.03177964192988, min values: 1.3732e-06, max values: 39.567, median values: 0.27514, and quantile values: 0.25 0.079684\n0.50 0.275140\n0.75 1.186800\nName: 7427, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3398821245092454, std values: 4.759460425523311, min values: 5.7187e-07, max values: 38.009, median values: 0.17939, and quantile values: 0.25 0.044728\n0.50 0.179390\n0.75 0.778530\nName: 7428, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7076606668528305, std values: 5.1528666678391595, min values: 2.6628e-06, max values: 41.514, median values: 0.28428, and quantile values: 0.25 0.07600\n0.50 0.28428\n0.75 1.16725\nName: 7429, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2524773912666667, std values: 4.729864488343805, min values: 1.3876e-06, max values: 38.962, median values: 0.15718, and quantile values: 0.25 0.052129\n0.50 0.157180\n0.75 0.659075\nName: 7430, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6771501417578616, std values: 5.182226708488993, min values: 6.6423e-06, max values: 40.486, median values: 0.28106, and quantile values: 0.25 0.083247\n0.50 0.281060\n0.75 0.939370\nName: 7431, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9202712278339622, std values: 5.445169930567097, min values: 3.4294e-06, max values: 44.057, median values: 0.34276, and quantile values: 0.25 0.098504\n0.50 0.342760\n0.75 1.299600\nName: 7432, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.355774116822805, std values: 4.751531168536915, min values: 3.6826e-08, max values: 38.351, median values: 0.18118, and quantile values: 0.25 0.046671\n0.50 0.181180\n0.75 0.681485\nName: 7433, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.354843237391195, std values: 4.875973346738371, min values: 1.8053e-06, max values: 39.759, median values: 0.22277, and quantile values: 0.25 0.055836\n0.50 0.222770\n0.75 0.775595\nName: 7434, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5818961121113206, std values: 4.915307144050048, min values: 2.7955e-06, max values: 39.836, median values: 0.26216, and quantile values: 0.25 0.074253\n0.50 0.262160\n0.75 1.012450\nName: 7435, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4218155343113208, std values: 4.71984921686871, min values: 1.5992e-06, max values: 38.668, median values: 0.22168, and quantile values: 0.25 0.064983\n0.50 0.221680\n0.75 0.850060\nName: 7436, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5719492414501257, std values: 4.749988046033904, min values: 1.0127e-07, max values: 37.395, median values: 0.28137, and quantile values: 0.25 0.066096\n0.50 0.281370\n0.75 1.120700\nName: 7437, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6139464224094338, std values: 4.95303655741779, min values: 1.7005e-06, max values: 38.5, median values: 0.23819, and quantile values: 0.25 0.070436\n0.50 0.238190\n0.75 0.982000\nName: 7438, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.236635277453459, std values: 4.44040444110013, min values: 1.0741e-06, max values: 37.832, median values: 0.17118, and quantile values: 0.25 0.05270\n0.50 0.17118\n0.75 0.71838\nName: 7439, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4348897187767296, std values: 4.8445683249578195, min values: 2.8e-06, max values: 40.194, median values: 0.22359, and quantile values: 0.25 0.064794\n0.50 0.223590\n0.75 0.838870\nName: 7440, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.358024509252434, std values: 4.76715225937096, min values: 6.5637e-08, max values: 38.297, median values: 0.18561, and quantile values: 0.25 0.042941\n0.50 0.185610\n0.75 0.744890\nName: 7441, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.632419380493333, std values: 5.147243517217877, min values: 3.2834e-07, max values: 43.608, median values: 0.2614, and quantile values: 0.25 0.063418\n0.50 0.261400\n0.75 1.135500\nName: 7442, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3113660278132828, std values: 4.823691291621036, min values: 1.5772e-08, max values: 40.325, median values: 0.15445, and quantile values: 0.25 0.040772\n0.50 0.154450\n0.75 0.696660\nName: 7443, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5485802786308176, std values: 5.121480663921617, min values: 1.8753e-06, max values: 41.66, median values: 0.24184, and quantile values: 0.25 0.071351\n0.50 0.241840\n0.75 0.892235\nName: 7444, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.176464518298239, std values: 4.40368683695709, min values: 2.0832e-07, max values: 36.831, median values: 0.14333, and quantile values: 0.25 0.042654\n0.50 0.143330\n0.75 0.631440\nName: 7445, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6684487859924528, std values: 5.096178460407801, min values: 4.6568e-06, max values: 40.775, median values: 0.30622, and quantile values: 0.25 0.07883\n0.50 0.30622\n0.75 1.04225\nName: 7446, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.507035165281132, std values: 5.069352881066624, min values: 4.0242e-06, max values: 40.655, median values: 0.23018, and quantile values: 0.25 0.069021\n0.50 0.230180\n0.75 0.850905\nName: 7447, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6350034589943399, std values: 5.184846023141648, min values: 5.3839e-06, max values: 40.95, median values: 0.26576, and quantile values: 0.25 0.072947\n0.50 0.265760\n0.75 0.822845\nName: 7448, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.607625665671981, std values: 5.271772996057526, min values: 2.5585e-08, max values: 46.759, median values: 0.20364, and quantile values: 0.25 0.052876\n0.50 0.203640\n0.75 1.049100\nName: 7449, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4620751577207547, std values: 4.999461647663816, min values: 1.0125e-06, max values: 41.706, median values: 0.21502, and quantile values: 0.25 0.062415\n0.50 0.215020\n0.75 0.834570\nName: 7450, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6225386079622643, std values: 5.286495022158938, min values: 1.4809e-06, max values: 45.109, median values: 0.25371, and quantile values: 0.25 0.078886\n0.50 0.253710\n0.75 0.981860\nName: 7451, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4894457922503146, std values: 4.9412497676959894, min values: 1.138e-06, max values: 41.029, median values: 0.24897, and quantile values: 0.25 0.065890\n0.50 0.248970\n0.75 0.923665\nName: 7452, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8148159428427673, std values: 5.207357538895873, min values: 2.9652e-06, max values: 40.272, median values: 0.32613, and quantile values: 0.25 0.087118\n0.50 0.326130\n0.75 1.245850\nName: 7453, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2203159069339622, std values: 4.7330432539887095, min values: 2.0372e-06, max values: 39.67, median values: 0.14958, and quantile values: 0.25 0.048945\n0.50 0.149580\n0.75 0.629205\nName: 7454, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3874226103949683, std values: 4.99499541405696, min values: 1.4159e-06, max values: 41.429, median values: 0.18664, and quantile values: 0.25 0.054763\n0.50 0.186640\n0.75 0.815640\nName: 7455, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5982406658169812, std values: 5.087335997978719, min values: 1.2692e-06, max values: 42.201, median values: 0.25839, and quantile values: 0.25 0.074178\n0.50 0.258390\n0.75 1.045800\nName: 7456, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.0969818868579875, std values: 4.615456512583251, min values: 2.4676e-07, max values: 37.992, median values: 0.11139, and quantile values: 0.25 0.03270\n0.50 0.11139\n0.75 0.50554\nName: 7457, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3918283322122642, std values: 5.073307427501419, min values: 4.8625e-07, max values: 43.938, median values: 0.1837, and quantile values: 0.25 0.052760\n0.50 0.183700\n0.75 0.766555\nName: 7458, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5867530300264152, std values: 4.9690279204547005, min values: 1.7624e-06, max values: 38.814, median values: 0.24452, and quantile values: 0.25 0.070583\n0.50 0.244520\n0.75 0.874695\nName: 7459, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3980756149836477, std values: 4.631606746771912, min values: 2.6247e-06, max values: 39.659, median values: 0.19698, and quantile values: 0.25 0.063619\n0.50 0.196980\n0.75 0.845335\nName: 7460, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4853426598169812, std values: 4.871348648837028, min values: 1.1703e-06, max values: 39.083, median values: 0.18839, and quantile values: 0.25 0.054309\n0.50 0.188390\n0.75 0.884650\nName: 7461, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.217760078700629, std values: 4.524881015796073, min values: 2.5407e-06, max values: 40.368, median values: 0.16151, and quantile values: 0.25 0.047894\n0.50 0.161510\n0.75 0.604060\nName: 7462, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4852181975649057, std values: 4.949357712666881, min values: 9.1012e-07, max values: 41.143, median values: 0.22493, and quantile values: 0.25 0.070249\n0.50 0.224930\n0.75 0.908335\nName: 7463, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4843034174716982, std values: 4.925624423193113, min values: 1.3565e-06, max values: 40.305, median values: 0.22749, and quantile values: 0.25 0.070349\n0.50 0.227490\n0.75 0.929400\nName: 7464, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4118427199125787, std values: 5.163620153198371, min values: 8.631e-07, max values: 45.195, median values: 0.20821, and quantile values: 0.25 0.053392\n0.50 0.208210\n0.75 0.713520\nName: 7465, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5167183197122136, std values: 4.713061080719272, min values: 2.5542e-08, max values: 37.247, median values: 0.21329, and quantile values: 0.25 0.053225\n0.50 0.213290\n0.75 1.042300\nName: 7466, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.623827761769182, std values: 5.001722707984818, min values: 1.7163e-06, max values: 40.219, median values: 0.2772, and quantile values: 0.25 0.074374\n0.50 0.277200\n0.75 1.066100\nName: 7467, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5571425805872954, std values: 4.953738000311004, min values: 7.9178e-07, max values: 40.184, median values: 0.26392, and quantile values: 0.25 0.064840\n0.50 0.263920\n0.75 0.991765\nName: 7468, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4637102681371068, std values: 4.854123447217344, min values: 1.0821e-06, max values: 38.673, median values: 0.23937, and quantile values: 0.25 0.066033\n0.50 0.239370\n0.75 0.874905\nName: 7469, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5267527371477987, std values: 4.965505860558515, min values: 3.18e-06, max values: 39.538, median values: 0.25041, and quantile values: 0.25 0.070828\n0.50 0.250410\n0.75 0.873895\nName: 7470, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4319123800308178, std values: 4.9158540310236845, min values: 1.4558e-06, max values: 40.517, median values: 0.21002, and quantile values: 0.25 0.059875\n0.50 0.210020\n0.75 0.838460\nName: 7471, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3806864268723271, std values: 4.784065193971115, min values: 1.1544e-06, max values: 38.091, median values: 0.20251, and quantile values: 0.25 0.058334\n0.50 0.202510\n0.75 0.757285\nName: 7472, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6775982327735848, std values: 5.046567449800535, min values: 2.3792e-06, max values: 39.366, median values: 0.25917, and quantile values: 0.25 0.073291\n0.50 0.259170\n0.75 1.100150\nName: 7473, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.544205048718239, std values: 5.000582026350535, min values: 1.0814e-06, max values: 40.594, median values: 0.24001, and quantile values: 0.25 0.057434\n0.50 0.240010\n0.75 0.963630\nName: 7474, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4371263319919496, std values: 4.895010791630309, min values: 3.1442e-07, max values: 39.833, median values: 0.18777, and quantile values: 0.25 0.049361\n0.50 0.187770\n0.75 0.796585\nName: 7475, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5484464375844655, std values: 4.890859651309372, min values: 2.0443e-07, max values: 39.587, median values: 0.26043, and quantile values: 0.25 0.066366\n0.50 0.260430\n0.75 1.001865\nName: 7476, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7465665584836478, std values: 5.237179862283458, min values: 1.3659e-06, max values: 43.313, median values: 0.29131, and quantile values: 0.25 0.082319\n0.50 0.291310\n0.75 1.094100\nName: 7477, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.579357004136478, std values: 4.860865445576927, min values: 1.6887e-06, max values: 38.347, median values: 0.23185, and quantile values: 0.25 0.068612\n0.50 0.231850\n0.75 1.034435\nName: 7478, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3984021003314464, std values: 4.754145233613322, min values: 4.4493e-06, max values: 39.887, median values: 0.20302, and quantile values: 0.25 0.056684\n0.50 0.203020\n0.75 0.730725\nName: 7479, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2682467757832074, std values: 4.553861119922424, min values: 5.4653e-07, max values: 38.739, median values: 0.16815, and quantile values: 0.25 0.041476\n0.50 0.168150\n0.75 0.680515\nName: 7480, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4120018679327233, std values: 4.624642868437623, min values: 6.2513e-08, max values: 36.408, median values: 0.19684, and quantile values: 0.25 0.041013\n0.50 0.196840\n0.75 0.775175\nName: 7481, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5662894193308174, std values: 4.788531380484215, min values: 2.0908e-06, max values: 38.757, median values: 0.2526, and quantile values: 0.25 0.074879\n0.50 0.252600\n0.75 1.022365\nName: 7482, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4521681770773585, std values: 5.028270919001923, min values: 3.1972e-06, max values: 41.025, median values: 0.21284, and quantile values: 0.25 0.064792\n0.50 0.212840\n0.75 0.810135\nName: 7483, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4363973250110693, std values: 5.072270242334909, min values: 1.2426e-07, max values: 44.055, median values: 0.21023, and quantile values: 0.25 0.059211\n0.50 0.210230\n0.75 0.864205\nName: 7484, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.619905292009434, std values: 5.364665919412385, min values: 5.2109e-06, max values: 43.846, median values: 0.24254, and quantile values: 0.25 0.075752\n0.50 0.242540\n0.75 0.831195\nName: 7485, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6407782932238995, std values: 5.040375480595175, min values: 1.6659e-06, max values: 40.952, median values: 0.30016, and quantile values: 0.25 0.079386\n0.50 0.300160\n0.75 1.099700\nName: 7486, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4443435631147545, std values: 4.883990076548345, min values: 6.5786e-08, max values: 40.741, median values: 0.23312, and quantile values: 0.25 0.053456\n0.50 0.233120\n0.75 0.859405\nName: 7487, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3210045863192454, std values: 4.5204830625709596, min values: 2.8636e-07, max values: 37.28, median values: 0.19357, and quantile values: 0.25 0.048824\n0.50 0.193570\n0.75 0.785230\nName: 7488, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.488825040380566, std values: 4.998035845419627, min values: 8.5581e-07, max values: 41.107, median values: 0.25851, and quantile values: 0.25 0.064163\n0.50 0.258510\n0.75 0.827950\nName: 7489, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.219155242681214, std values: 4.495746530060248, min values: 1.758e-08, max values: 35.541, median values: 0.13321, and quantile values: 0.25 0.029454\n0.50 0.133210\n0.75 0.580905\nName: 7490, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.540034272262893, std values: 4.94862146471663, min values: 2.9498e-06, max values: 39.603, median values: 0.22752, and quantile values: 0.25 0.076293\n0.50 0.227520\n0.75 0.944970\nName: 7491, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6703441589722012, std values: 5.2999592724575315, min values: 9.2598e-07, max values: 46.16, median values: 0.22974, and quantile values: 0.25 0.068839\n0.50 0.229740\n0.75 1.052650\nName: 7492, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2576153023496854, std values: 4.748698000614594, min values: 1.0325e-06, max values: 38.814, median values: 0.14232, and quantile values: 0.25 0.049405\n0.50 0.142320\n0.75 0.653980\nName: 7493, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7203441235509433, std values: 5.066539844791067, min values: 3.0051e-06, max values: 39.304, median values: 0.29946, and quantile values: 0.25 0.084072\n0.50 0.299460\n0.75 1.236500\nName: 7494, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5752624969086795, std values: 4.907374338860625, min values: 5.5958e-07, max values: 39.398, median values: 0.24916, and quantile values: 0.25 0.067361\n0.50 0.249160\n0.75 1.028550\nName: 7495, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5739733645914027, std values: 5.1076832001260755, min values: 3.4593e-08, max values: 44.181, median values: 0.21433, and quantile values: 0.25 0.054057\n0.50 0.214330\n0.75 0.971715\nName: 7496, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.401257658910692, std values: 4.869638627728775, min values: 2.0977e-06, max values: 39.093, median values: 0.21884, and quantile values: 0.25 0.058671\n0.50 0.218840\n0.75 0.750250\nName: 7497, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4199007648025157, std values: 4.632690842283151, min values: 2.5167e-06, max values: 39.243, median values: 0.21274, and quantile values: 0.25 0.062349\n0.50 0.212740\n0.75 0.851735\nName: 7498, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.627867663138994, std values: 5.416617422375111, min values: 2.6317e-06, max values: 48.216, median values: 0.27075, and quantile values: 0.25 0.079993\n0.50 0.270750\n0.75 0.976560\nName: 7499, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3815265866584905, std values: 4.710249534439646, min values: 1.0454e-06, max values: 38.981, median values: 0.2358, and quantile values: 0.25 0.061160\n0.50 0.235800\n0.75 0.841415\nName: 7500, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5820974046333331, std values: 4.821110471169393, min values: 1.5238e-06, max values: 39.222, median values: 0.24189, and quantile values: 0.25 0.067677\n0.50 0.241890\n0.75 1.039000\nName: 7501, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5050427768613837, std values: 5.152996995892626, min values: 3.3786e-07, max values: 44.302, median values: 0.2243, and quantile values: 0.25 0.058792\n0.50 0.224300\n0.75 0.931640\nName: 7502, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5077148449691824, std values: 4.935806826391879, min values: 1.0474e-06, max values: 39.416, median values: 0.23226, and quantile values: 0.25 0.063077\n0.50 0.232260\n0.75 0.889685\nName: 7503, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2569389729433962, std values: 4.8260589255309965, min values: 6.624e-07, max values: 39.473, median values: 0.14306, and quantile values: 0.25 0.043838\n0.50 0.143060\n0.75 0.649365\nName: 7504, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.553113263642138, std values: 5.066581159399153, min values: 1.1603e-06, max values: 41.724, median values: 0.22503, and quantile values: 0.25 0.056863\n0.50 0.225030\n0.75 0.929760\nName: 7505, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4126655000012578, std values: 4.802613655629297, min values: 1.1481e-06, max values: 38.691, median values: 0.21718, and quantile values: 0.25 0.067667\n0.50 0.217180\n0.75 0.819190\nName: 7506, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.394542400894214, std values: 4.975711641856391, min values: 7.1468e-07, max values: 41.642, median values: 0.18894, and quantile values: 0.25 0.056681\n0.50 0.188940\n0.75 0.747740\nName: 7507, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6781312764503147, std values: 5.076610687817013, min values: 1.4836e-06, max values: 40.696, median values: 0.28645, and quantile values: 0.25 0.073672\n0.50 0.286450\n0.75 1.119950\nName: 7508, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.409467189508805, std values: 4.695594543826973, min values: 1.5479e-06, max values: 38.652, median values: 0.2062, and quantile values: 0.25 0.06813\n0.50 0.20620\n0.75 0.88127\nName: 7509, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5519065589427672, std values: 5.177201069704227, min values: 2.1683e-06, max values: 42.843, median values: 0.23715, and quantile values: 0.25 0.062539\n0.50 0.237150\n0.75 0.988530\nName: 7510, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.440372441918868, std values: 4.83828566275636, min values: 1.4015e-06, max values: 39.046, median values: 0.20749, and quantile values: 0.25 0.063461\n0.50 0.207490\n0.75 0.844040\nName: 7511, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.437203289696604, std values: 4.912523400025579, min values: 1.9451e-07, max values: 41.294, median values: 0.18012, and quantile values: 0.25 0.051797\n0.50 0.180120\n0.75 0.770340\nName: 7512, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.582108340422264, std values: 5.260038172439845, min values: 6.3374e-07, max values: 46.021, median values: 0.24904, and quantile values: 0.25 0.062737\n0.50 0.249040\n0.75 0.944720\nName: 7513, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2958256455127168, std values: 4.835137613635105, min values: 8.9922e-08, max values: 39.727, median values: 0.1598, and quantile values: 0.25 0.046441\n0.50 0.159800\n0.75 0.695055\nName: 7514, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4931708641962265, std values: 4.841692236928101, min values: 1.3178e-06, max values: 38.807, median values: 0.22787, and quantile values: 0.25 0.070514\n0.50 0.227870\n0.75 0.891195\nName: 7515, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5036051545377358, std values: 4.857878618104091, min values: 2.0542e-06, max values: 38.675, median values: 0.24971, and quantile values: 0.25 0.076721\n0.50 0.249710\n0.75 0.979330\nName: 7516, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7036747803550316, std values: 5.088329191622765, min values: 3.8035e-07, max values: 41.526, median values: 0.26211, and quantile values: 0.25 0.066506\n0.50 0.262110\n0.75 1.238300\nName: 7517, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2789063661080504, std values: 4.918213667358247, min values: 4.3638e-07, max values: 42.152, median values: 0.14943, and quantile values: 0.25 0.050402\n0.50 0.149430\n0.75 0.666450\nName: 7518, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2889810932515093, std values: 4.558650375403586, min values: 3.8769e-07, max values: 37.775, median values: 0.17151, and quantile values: 0.25 0.047764\n0.50 0.171510\n0.75 0.748955\nName: 7519, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7216556449610063, std values: 5.276080500402509, min values: 2.13e-06, max values: 42.594, median values: 0.2931, and quantile values: 0.25 0.074634\n0.50 0.293100\n0.75 1.081750\nName: 7520, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7402062806861638, std values: 5.236156274043341, min values: 4.419e-06, max values: 41.295, median values: 0.28215, and quantile values: 0.25 0.082398\n0.50 0.282150\n0.75 1.172400\nName: 7521, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4346485096672954, std values: 4.810632831907637, min values: 1.7244e-06, max values: 40.033, median values: 0.20504, and quantile values: 0.25 0.064719\n0.50 0.205040\n0.75 0.861620\nName: 7522, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3364562355552199, std values: 4.786650865445244, min values: 7.8398e-07, max values: 38.52, median values: 0.21738, and quantile values: 0.25 0.059910\n0.50 0.217380\n0.75 0.708415\nName: 7523, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4791476253741194, std values: 5.031557905099105, min values: 2.1082e-08, max values: 43.701, median values: 0.16049, and quantile values: 0.25 0.037344\n0.50 0.160490\n0.75 0.806215\nName: 7524, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.464378568003302, std values: 4.783993153229108, min values: 1.8695e-08, max values: 39.0, median values: 0.19862, and quantile values: 0.25 0.049294\n0.50 0.198620\n0.75 0.824755\nName: 7525, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5671097533018867, std values: 5.128022465569171, min values: 2.7278e-06, max values: 41.516, median values: 0.26918, and quantile values: 0.25 0.069217\n0.50 0.269180\n0.75 0.972290\nName: 7526, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.762361179447799, std values: 5.189243860590019, min values: 5.1812e-06, max values: 40.341, median values: 0.30358, and quantile values: 0.25 0.091327\n0.50 0.303580\n0.75 1.142450\nName: 7527, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.455767720234214, std values: 4.865400049507869, min values: 5.1604e-07, max values: 39.672, median values: 0.21811, and quantile values: 0.25 0.057066\n0.50 0.218110\n0.75 0.868585\nName: 7528, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5913980998661006, std values: 5.192684695902709, min values: 3.0041e-07, max values: 45.029, median values: 0.21466, and quantile values: 0.25 0.057501\n0.50 0.214660\n0.75 1.024065\nName: 7529, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.347947698852849, std values: 4.850884072770657, min values: 1.8473e-08, max values: 40.856, median values: 0.17222, and quantile values: 0.25 0.042432\n0.50 0.172220\n0.75 0.740940\nName: 7530, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4033855967646542, std values: 4.721273783692988, min values: 4.2558e-07, max values: 38.636, median values: 0.2133, and quantile values: 0.25 0.058597\n0.50 0.213300\n0.75 0.840160\nName: 7531, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3734429112345283, std values: 4.604205391081854, min values: 1.7649e-07, max values: 37.684, median values: 0.21183, and quantile values: 0.25 0.059274\n0.50 0.211830\n0.75 0.854175\nName: 7532, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.521498535437107, std values: 5.140517854862197, min values: 3.0376e-06, max values: 41.973, median values: 0.2144, and quantile values: 0.25 0.064353\n0.50 0.214400\n0.75 0.908015\nName: 7533, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.47481495950239, std values: 5.051209996373936, min values: 8.7808e-07, max values: 42.761, median values: 0.20815, and quantile values: 0.25 0.064696\n0.50 0.208150\n0.75 0.868000\nName: 7534, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4521820437486792, std values: 5.060833738556604, min values: 6.8274e-07, max values: 42.923, median values: 0.20973, and quantile values: 0.25 0.058624\n0.50 0.209730\n0.75 0.834620\nName: 7535, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4619467629578617, std values: 5.102568997229181, min values: 4.0189e-06, max values: 40.908, median values: 0.21062, and quantile values: 0.25 0.065382\n0.50 0.210620\n0.75 0.823060\nName: 7536, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.43006903936478, std values: 4.746446723618554, min values: 1.6438e-06, max values: 39.091, median values: 0.21377, and quantile values: 0.25 0.058482\n0.50 0.213770\n0.75 0.882010\nName: 7537, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3892393042654085, std values: 4.911382615228529, min values: 1.1098e-06, max values: 39.431, median values: 0.1657, and quantile values: 0.25 0.051849\n0.50 0.165700\n0.75 0.813665\nName: 7538, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5236822376867927, std values: 4.88216675393013, min values: 1.3666e-06, max values: 38.576, median values: 0.23291, and quantile values: 0.25 0.073788\n0.50 0.232910\n0.75 0.930805\nName: 7539, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7645745186886792, std values: 5.042533873176652, min values: 2.9958e-06, max values: 39.273, median values: 0.29727, and quantile values: 0.25 0.08925\n0.50 0.29727\n0.75 1.20615\nName: 7540, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4877848817903145, std values: 4.954803350847576, min values: 8.9426e-07, max values: 40.373, median values: 0.22138, and quantile values: 0.25 0.062492\n0.50 0.221380\n0.75 0.893765\nName: 7541, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4777230766122642, std values: 4.774388225826881, min values: 1.4035e-07, max values: 37.692, median values: 0.21588, and quantile values: 0.25 0.062989\n0.50 0.215880\n0.75 0.962145\nName: 7542, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4358273218099118, std values: 5.12358051030421, min values: 4.7186e-08, max values: 46.039, median values: 0.19421, and quantile values: 0.25 0.040414\n0.50 0.194210\n0.75 0.731285\nName: 7543, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4730500050729558, std values: 4.964523236014595, min values: 2.2605e-06, max values: 40.133, median values: 0.24489, and quantile values: 0.25 0.071478\n0.50 0.244890\n0.75 0.872370\nName: 7544, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2400335498339625, std values: 4.770445302675264, min values: 1.0812e-06, max values: 38.427, median values: 0.13873, and quantile values: 0.25 0.045533\n0.50 0.138730\n0.75 0.620335\nName: 7545, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3635139636813145, std values: 4.507544707430865, min values: 1.7039e-08, max values: 36.898, median values: 0.17023, and quantile values: 0.25 0.045352\n0.50 0.170230\n0.75 0.782460\nName: 7546, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6830069575113205, std values: 4.915996090055625, min values: 1.5576e-06, max values: 38.775, median values: 0.26517, and quantile values: 0.25 0.078771\n0.50 0.265170\n0.75 1.158700\nName: 7547, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4017724426801257, std values: 5.14232253876685, min values: 3.9589e-07, max values: 46.023, median values: 0.16943, and quantile values: 0.25 0.046377\n0.50 0.169430\n0.75 0.682210\nName: 7548, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6510246475037735, std values: 5.266127982229072, min values: 1.887e-06, max values: 44.69, median values: 0.27396, and quantile values: 0.25 0.076213\n0.50 0.273960\n0.75 1.026500\nName: 7549, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5889475023011321, std values: 4.90408421816607, min values: 6.2218e-07, max values: 39.176, median values: 0.27823, and quantile values: 0.25 0.079063\n0.50 0.278230\n0.75 1.028325\nName: 7550, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4324336932505597, std values: 4.726500405227397, min values: 1.4759e-08, max values: 37.333, median values: 0.18799, and quantile values: 0.25 0.048162\n0.50 0.187990\n0.75 0.766445\nName: 7551, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.472497075118239, std values: 4.8160697510949175, min values: 2.238e-07, max values: 38.012, median values: 0.21978, and quantile values: 0.25 0.057817\n0.50 0.219780\n0.75 0.899320\nName: 7552, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.760591175646541, std values: 5.444669796604465, min values: 3.9186e-06, max values: 45.344, median values: 0.27665, and quantile values: 0.25 0.067946\n0.50 0.276650\n0.75 1.083700\nName: 7553, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3249634786345599, std values: 4.430784070399482, min values: 7.1595e-08, max values: 36.964, median values: 0.21857, and quantile values: 0.25 0.055925\n0.50 0.218570\n0.75 0.797550\nName: 7554, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4915129275836478, std values: 5.004507228522366, min values: 1.377e-06, max values: 41.063, median values: 0.19832, and quantile values: 0.25 0.065361\n0.50 0.198320\n0.75 0.891905\nName: 7555, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2964835056238995, std values: 4.936381632071853, min values: 1.6879e-06, max values: 40.118, median values: 0.15713, and quantile values: 0.25 0.048030\n0.50 0.157130\n0.75 0.691375\nName: 7556, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4625494567247168, std values: 4.75906758181283, min values: 3.7163e-07, max values: 37.914, median values: 0.19591, and quantile values: 0.25 0.060070\n0.50 0.195910\n0.75 0.867165\nName: 7557, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3235046061062894, std values: 4.572998717092515, min values: 1.8717e-06, max values: 39.602, median values: 0.17992, and quantile values: 0.25 0.055522\n0.50 0.179920\n0.75 0.784730\nName: 7558, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.378308561938365, std values: 4.771795138406648, min values: 2.1389e-06, max values: 39.591, median values: 0.22563, and quantile values: 0.25 0.063976\n0.50 0.225630\n0.75 0.856800\nName: 7559, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5286976875672704, std values: 4.964384841633654, min values: 4.9996e-08, max values: 41.684, median values: 0.20751, and quantile values: 0.25 0.057913\n0.50 0.207510\n0.75 0.952330\nName: 7560, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.364944419844025, std values: 5.116038061747227, min values: 2.1413e-06, max values: 42.282, median values: 0.17091, and quantile values: 0.25 0.054954\n0.50 0.170910\n0.75 0.692065\nName: 7561, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4027199408716982, std values: 4.751775044737102, min values: 7.936e-07, max values: 38.025, median values: 0.19134, and quantile values: 0.25 0.058144\n0.50 0.191340\n0.75 0.861265\nName: 7562, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.598117712643396, std values: 4.993227630593795, min values: 1.8894e-06, max values: 39.286, median values: 0.22563, and quantile values: 0.25 0.068387\n0.50 0.225630\n0.75 1.000195\nName: 7563, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3246603093208178, std values: 4.753981919973193, min values: 1.9791e-07, max values: 38.41, median values: 0.17681, and quantile values: 0.25 0.048074\n0.50 0.176810\n0.75 0.711960\nName: 7564, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6267137202987423, std values: 5.038415097900686, min values: 1.1057e-06, max values: 41.062, median values: 0.27892, and quantile values: 0.25 0.074725\n0.50 0.278920\n0.75 1.098700\nName: 7565, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4689636430534592, std values: 4.932850951999126, min values: 8.406e-07, max values: 40.364, median values: 0.19449, and quantile values: 0.25 0.059704\n0.50 0.194490\n0.75 0.875450\nName: 7566, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5842660835955975, std values: 5.109704083252226, min values: 1.6397e-06, max values: 42.907, median values: 0.25787, and quantile values: 0.25 0.071366\n0.50 0.257870\n0.75 1.010825\nName: 7567, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2308544084025157, std values: 4.806178395021373, min values: 2.6654e-06, max values: 40.544, median values: 0.157, and quantile values: 0.25 0.047453\n0.50 0.157000\n0.75 0.519585\nName: 7568, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3813976927804403, std values: 4.82762095130486, min values: 6.8009e-07, max values: 39.744, median values: 0.21207, and quantile values: 0.25 0.054761\n0.50 0.212070\n0.75 0.810995\nName: 7569, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.619670974636478, std values: 4.83601516859898, min values: 3.0607e-06, max values: 39.195, median values: 0.27692, and quantile values: 0.25 0.078216\n0.50 0.276920\n0.75 1.019180\nName: 7570, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6172291019735219, std values: 4.976212339930938, min values: 9.0829e-07, max values: 39.184, median values: 0.24283, and quantile values: 0.25 0.071153\n0.50 0.242830\n0.75 1.069350\nName: 7571, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.465153745946541, std values: 4.967732632459513, min values: 3.1925e-06, max values: 39.717, median values: 0.22888, and quantile values: 0.25 0.06863\n0.50 0.22888\n0.75 0.85088\nName: 7572, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.199845765276289, std values: 4.400621197080555, min values: 8.9673e-07, max values: 38.048, median values: 0.1617, and quantile values: 0.25 0.049244\n0.50 0.161700\n0.75 0.640545\nName: 7573, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3369544002484277, std values: 4.661928510384085, min values: 1.1973e-06, max values: 39.622, median values: 0.21737, and quantile values: 0.25 0.054291\n0.50 0.217370\n0.75 0.766270\nName: 7574, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7222696834194968, std values: 4.996462107285148, min values: 1.7108e-06, max values: 38.475, median values: 0.30413, and quantile values: 0.25 0.085888\n0.50 0.304130\n0.75 1.210250\nName: 7575, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4723116241465408, std values: 4.659841577434808, min values: 2.9518e-06, max values: 39.652, median values: 0.22341, and quantile values: 0.25 0.072522\n0.50 0.223410\n0.75 0.878615\nName: 7576, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5601619278672956, std values: 4.897768081298733, min values: 3.3707e-06, max values: 39.924, median values: 0.24206, and quantile values: 0.25 0.078285\n0.50 0.242060\n0.75 0.950460\nName: 7577, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.521205397778742, std values: 4.91768386652501, min values: 1.2142e-07, max values: 40.913, median values: 0.24213, and quantile values: 0.25 0.059806\n0.50 0.242130\n0.75 0.939815\nName: 7578, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.413170296817245, std values: 4.710183723367515, min values: 4.2442e-08, max values: 37.516, median values: 0.2062, and quantile values: 0.25 0.057516\n0.50 0.206200\n0.75 0.878400\nName: 7579, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.321629304296975, std values: 4.9458850849069504, min values: 2.1299e-08, max values: 42.664, median values: 0.15204, and quantile values: 0.25 0.040322\n0.50 0.152040\n0.75 0.658065\nName: 7580, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6934966289735849, std values: 5.251569107281929, min values: 5.0046e-06, max values: 41.468, median values: 0.30043, and quantile values: 0.25 0.08749\n0.50 0.30043\n0.75 1.05480\nName: 7581, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.259942971680591, std values: 4.613786452716002, min values: 1.8154e-08, max values: 37.263, median values: 0.16781, and quantile values: 0.25 0.042874\n0.50 0.167810\n0.75 0.635975\nName: 7582, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3418125866416353, std values: 4.9323975327710095, min values: 1.4787e-07, max values: 42.378, median values: 0.19095, and quantile values: 0.25 0.050043\n0.50 0.190950\n0.75 0.735290\nName: 7583, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6382942141263523, std values: 5.041667235410638, min values: 7.1279e-07, max values: 41.565, median values: 0.27163, and quantile values: 0.25 0.066211\n0.50 0.271630\n0.75 1.091250\nName: 7584, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.568526062863522, std values: 5.1951738434839, min values: 2.6294e-06, max values: 42.787, median values: 0.27067, and quantile values: 0.25 0.069655\n0.50 0.270670\n0.75 0.980110\nName: 7585, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3547979615106918, std values: 4.586523673984086, min values: 2.0712e-06, max values: 39.743, median values: 0.21338, and quantile values: 0.25 0.061238\n0.50 0.213380\n0.75 0.788280\nName: 7586, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.632809141082893, std values: 5.230085965058952, min values: 7.1818e-07, max values: 45.083, median values: 0.27393, and quantile values: 0.25 0.068662\n0.50 0.273930\n0.75 0.995950\nName: 7587, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5406186704752831, std values: 4.885211085565662, min values: 9.7137e-07, max values: 38.967, median values: 0.21557, and quantile values: 0.25 0.063437\n0.50 0.215570\n0.75 0.969345\nName: 7588, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.378862683641887, std values: 4.957400629844055, min values: 9.3286e-07, max values: 42.094, median values: 0.21052, and quantile values: 0.25 0.061793\n0.50 0.210520\n0.75 0.763555\nName: 7589, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3828996059296854, std values: 4.823841574029136, min values: 6.2892e-07, max values: 39.364, median values: 0.20132, and quantile values: 0.25 0.059379\n0.50 0.201320\n0.75 0.821125\nName: 7590, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6500092569987421, std values: 5.067862709130755, min values: 2.7385e-06, max values: 39.602, median values: 0.27552, and quantile values: 0.25 0.080239\n0.50 0.275520\n0.75 1.048950\nName: 7591, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4890594753100628, std values: 4.87563246928594, min values: 1.444e-06, max values: 38.739, median values: 0.2135, and quantile values: 0.25 0.064873\n0.50 0.213500\n0.75 0.922955\nName: 7592, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4100317652596226, std values: 4.893077062870839, min values: 4.4128e-07, max values: 40.704, median values: 0.19867, and quantile values: 0.25 0.053218\n0.50 0.198670\n0.75 0.801480\nName: 7593, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6011811792232704, std values: 5.180499473235603, min values: 2.8439e-06, max values: 42.155, median values: 0.23721, and quantile values: 0.25 0.068364\n0.50 0.237210\n0.75 0.998550\nName: 7594, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.431441505101566, std values: 4.767692711080902, min values: 2.1149e-08, max values: 38.116, median values: 0.2002, and quantile values: 0.25 0.054935\n0.50 0.200200\n0.75 0.904995\nName: 7595, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.553040647073585, std values: 5.119416907785627, min values: 3.6156e-06, max values: 41.066, median values: 0.22688, and quantile values: 0.25 0.073761\n0.50 0.226880\n0.75 0.900215\nName: 7596, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4346896806654088, std values: 5.227802600013429, min values: 1.7054e-06, max values: 45.838, median values: 0.18505, and quantile values: 0.25 0.056296\n0.50 0.185050\n0.75 0.794955\nName: 7597, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5005744479474843, std values: 4.901161950581298, min values: 2.0793e-08, max values: 41.434, median values: 0.18571, and quantile values: 0.25 0.040024\n0.50 0.185710\n0.75 0.832195\nName: 7598, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.392564403927107, std values: 4.650137089998962, min values: 2.8271e-07, max values: 36.946, median values: 0.18035, and quantile values: 0.25 0.047659\n0.50 0.180350\n0.75 0.763925\nName: 7599, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8073731084534592, std values: 5.3924395471641065, min values: 3.9258e-06, max values: 44.415, median values: 0.29257, and quantile values: 0.25 0.080986\n0.50 0.292570\n0.75 1.214300\nName: 7600, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.350036086619497, std values: 4.644762314941273, min values: 3.3545e-06, max values: 39.675, median values: 0.19404, and quantile values: 0.25 0.057185\n0.50 0.194040\n0.75 0.769580\nName: 7601, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.423438499954717, std values: 4.811713698780154, min values: 2.1339e-06, max values: 39.393, median values: 0.20189, and quantile values: 0.25 0.062851\n0.50 0.201890\n0.75 0.853880\nName: 7602, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4079202022327044, std values: 4.746008746022155, min values: 1.0931e-06, max values: 38.168, median values: 0.22586, and quantile values: 0.25 0.061763\n0.50 0.225860\n0.75 0.824830\nName: 7603, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1425976040610442, std values: 4.491889193930699, min values: 1.6136e-08, max values: 36.173, median values: 0.11161, and quantile values: 0.25 0.031601\n0.50 0.111610\n0.75 0.541030\nName: 7604, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.450418887790629, std values: 4.9979521053393485, min values: 9.5391e-07, max values: 41.246, median values: 0.1982, and quantile values: 0.25 0.060636\n0.50 0.198200\n0.75 0.846065\nName: 7605, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4103089929522015, std values: 4.796957577684445, min values: 1.5516e-06, max values: 39.022, median values: 0.23273, and quantile values: 0.25 0.060263\n0.50 0.232730\n0.75 0.819110\nName: 7606, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3217579831163522, std values: 4.771055026073117, min values: 1.2807e-06, max values: 38.663, median values: 0.19595, and quantile values: 0.25 0.057198\n0.50 0.195950\n0.75 0.755560\nName: 7607, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4528410123830189, std values: 5.177210853548236, min values: 2.2678e-06, max values: 44.125, median values: 0.20832, and quantile values: 0.25 0.061845\n0.50 0.208320\n0.75 0.839625\nName: 7608, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4708843026148426, std values: 4.943115510922038, min values: 4.4656e-07, max values: 40.685, median values: 0.22081, and quantile values: 0.25 0.061366\n0.50 0.220810\n0.75 0.838355\nName: 7609, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4643580521603772, std values: 4.8253591624801535, min values: 1.7499e-06, max values: 38.784, median values: 0.21966, and quantile values: 0.25 0.064514\n0.50 0.219660\n0.75 0.874210\nName: 7610, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7066853814127674, std values: 5.2703572061400425, min values: 2.8613e-07, max values: 45.927, median values: 0.26913, and quantile values: 0.25 0.062155\n0.50 0.269130\n0.75 1.131450\nName: 7611, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.38134366552095, std values: 4.792377239151305, min values: 1.6531e-08, max values: 39.069, median values: 0.17915, and quantile values: 0.25 0.05533\n0.50 0.17915\n0.75 0.79366\nName: 7612, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5270797892761008, std values: 4.848938006086736, min values: 1.1356e-06, max values: 38.906, median values: 0.24105, and quantile values: 0.25 0.068555\n0.50 0.241050\n0.75 0.971555\nName: 7613, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.621040563881761, std values: 4.931296610249865, min values: 2.994e-06, max values: 39.739, median values: 0.26423, and quantile values: 0.25 0.072679\n0.50 0.264230\n0.75 1.120150\nName: 7614, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6066123086150943, std values: 4.923369721672603, min values: 1.1827e-06, max values: 38.541, median values: 0.30346, and quantile values: 0.25 0.070266\n0.50 0.303460\n0.75 1.115450\nName: 7615, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5792932462798743, std values: 4.940524473874151, min values: 1.4424e-06, max values: 39.173, median values: 0.25335, and quantile values: 0.25 0.069671\n0.50 0.253350\n0.75 1.035800\nName: 7616, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2717941321242139, std values: 4.6575113280682645, min values: 3.8645e-07, max values: 38.079, median values: 0.16898, and quantile values: 0.25 0.048777\n0.50 0.168980\n0.75 0.681655\nName: 7617, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5861151464308176, std values: 4.9721112602298785, min values: 2.2621e-06, max values: 39.15, median values: 0.27033, and quantile values: 0.25 0.079979\n0.50 0.270330\n0.75 0.929020\nName: 7618, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.537097493655346, std values: 5.093878492770642, min values: 2.4743e-06, max values: 41.729, median values: 0.24162, and quantile values: 0.25 0.069531\n0.50 0.241620\n0.75 0.936275\nName: 7619, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3331313875387423, std values: 4.791965955222936, min values: 3.4943e-07, max values: 39.653, median values: 0.16792, and quantile values: 0.25 0.049078\n0.50 0.167920\n0.75 0.721520\nName: 7620, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4077771606394969, std values: 4.8711656382847135, min values: 4.8038e-07, max values: 40.252, median values: 0.18663, and quantile values: 0.25 0.055889\n0.50 0.186630\n0.75 0.816955\nName: 7621, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4215954610798742, std values: 4.93196206490915, min values: 1.1365e-06, max values: 40.116, median values: 0.18606, and quantile values: 0.25 0.05356\n0.50 0.18606\n0.75 0.80363\nName: 7622, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3035871042433962, std values: 4.954599044876811, min values: 2.3975e-06, max values: 40.388, median values: 0.17082, and quantile values: 0.25 0.051843\n0.50 0.170820\n0.75 0.676020\nName: 7623, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5866335110849057, std values: 4.944088419407769, min values: 1.6094e-06, max values: 38.92, median values: 0.23527, and quantile values: 0.25 0.06910\n0.50 0.23527\n0.75 1.04695\nName: 7624, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5257874302050314, std values: 4.809599611424564, min values: 1.5983e-06, max values: 38.673, median values: 0.22808, and quantile values: 0.25 0.067833\n0.50 0.228080\n0.75 1.005950\nName: 7625, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.396634278127673, std values: 5.024659502015793, min values: 1.317e-06, max values: 42.494, median values: 0.20424, and quantile values: 0.25 0.061009\n0.50 0.204240\n0.75 0.771140\nName: 7626, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4688717751345786, std values: 4.876853115813349, min values: 2.7698e-08, max values: 40.76, median values: 0.1977, and quantile values: 0.25 0.050878\n0.50 0.197700\n0.75 0.849880\nName: 7627, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.451239661071887, std values: 4.874830981539647, min values: 6.9623e-07, max values: 39.436, median values: 0.19474, and quantile values: 0.25 0.055036\n0.50 0.194740\n0.75 0.828495\nName: 7628, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4083148152044025, std values: 4.924205354756805, min values: 1.3083e-06, max values: 39.6, median values: 0.18295, and quantile values: 0.25 0.056529\n0.50 0.182950\n0.75 0.817395\nName: 7629, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4607533734566038, std values: 4.751468692752321, min values: 1.283e-06, max values: 38.346, median values: 0.25161, and quantile values: 0.25 0.067582\n0.50 0.251610\n0.75 0.907775\nName: 7630, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3256360983162894, std values: 4.450117377542945, min values: 8.4269e-07, max values: 38.358, median values: 0.19606, and quantile values: 0.25 0.055897\n0.50 0.196060\n0.75 0.804040\nName: 7631, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.564521246944025, std values: 4.776994865392469, min values: 2.501e-07, max values: 37.119, median values: 0.28389, and quantile values: 0.25 0.067279\n0.50 0.283890\n0.75 1.079800\nName: 7632, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4277224505138364, std values: 4.765792565214468, min values: 1.0436e-06, max values: 38.011, median values: 0.22154, and quantile values: 0.25 0.060685\n0.50 0.221540\n0.75 0.846655\nName: 7633, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.707746630251572, std values: 5.095177911994501, min values: 2.3791e-06, max values: 39.815, median values: 0.28847, and quantile values: 0.25 0.082123\n0.50 0.288470\n0.75 1.194650\nName: 7634, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.427499817026981, std values: 4.830035021332733, min values: 6.9459e-07, max values: 39.317, median values: 0.19932, and quantile values: 0.25 0.061959\n0.50 0.199320\n0.75 0.837000\nName: 7635, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3351698610962894, std values: 4.8398650275458595, min values: 3.0641e-07, max values: 39.886, median values: 0.17984, and quantile values: 0.25 0.047422\n0.50 0.179840\n0.75 0.737360\nName: 7636, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.540511898991195, std values: 4.841999020903549, min values: 2.4188e-06, max values: 39.685, median values: 0.2413, and quantile values: 0.25 0.071119\n0.50 0.241300\n0.75 0.993870\nName: 7637, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3734235926093712, std values: 4.886570399448045, min values: 7.4439e-07, max values: 39.911, median values: 0.19038, and quantile values: 0.25 0.056239\n0.50 0.190380\n0.75 0.753935\nName: 7638, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6548866879245283, std values: 5.0445611781454796, min values: 1.5344e-06, max values: 40.564, median values: 0.29599, and quantile values: 0.25 0.077251\n0.50 0.295990\n0.75 1.156450\nName: 7639, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.358630877576478, std values: 4.435783342403994, min values: 4.9626e-07, max values: 36.72, median values: 0.2059, and quantile values: 0.25 0.055460\n0.50 0.205900\n0.75 0.804515\nName: 7640, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2902666260685536, std values: 4.481885292393799, min values: 1.5475e-06, max values: 38.426, median values: 0.18401, and quantile values: 0.25 0.055861\n0.50 0.184010\n0.75 0.771375\nName: 7641, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4100841701949687, std values: 4.903213545049751, min values: 4.6739e-06, max values: 40.013, median values: 0.19594, and quantile values: 0.25 0.058098\n0.50 0.195940\n0.75 0.721430\nName: 7642, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4306260975234717, std values: 4.763278928023366, min values: 1.8932e-08, max values: 37.759, median values: 0.19928, and quantile values: 0.25 0.052723\n0.50 0.199280\n0.75 0.935550\nName: 7643, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5814658133924528, std values: 5.059094318247256, min values: 1.5973e-06, max values: 41.614, median values: 0.25056, and quantile values: 0.25 0.071376\n0.50 0.250560\n0.75 0.976440\nName: 7644, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5943427109566037, std values: 4.747664403197985, min values: 3.2317e-06, max values: 39.556, median values: 0.30367, and quantile values: 0.25 0.078316\n0.50 0.303670\n0.75 1.109980\nName: 7645, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4836746628950315, std values: 4.755120125958453, min values: 5.2721e-07, max values: 37.726, median values: 0.22349, and quantile values: 0.25 0.063566\n0.50 0.223490\n0.75 0.960195\nName: 7646, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.596285572728742, std values: 4.988531245330832, min values: 8.6227e-07, max values: 40.029, median values: 0.23517, and quantile values: 0.25 0.07083\n0.50 0.23517\n0.75 1.04770\nName: 7647, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5683617942358488, std values: 4.994238373884639, min values: 2.0593e-06, max values: 40.229, median values: 0.27097, and quantile values: 0.25 0.076631\n0.50 0.270970\n0.75 0.973445\nName: 7648, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6378388894061007, std values: 4.917524016945895, min values: 8.9827e-07, max values: 38.715, median values: 0.27729, and quantile values: 0.25 0.075462\n0.50 0.277290\n0.75 1.100250\nName: 7649, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.779589286503145, std values: 5.095706968049803, min values: 4.2589e-06, max values: 40.547, median values: 0.32684, and quantile values: 0.25 0.091352\n0.50 0.326840\n0.75 1.129600\nName: 7650, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4889292631962263, std values: 4.7455185717556985, min values: 1.132e-06, max values: 39.027, median values: 0.21334, and quantile values: 0.25 0.059055\n0.50 0.213340\n0.75 0.982720\nName: 7651, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4309489295532074, std values: 4.775638004570849, min values: 2.2616e-07, max values: 38.012, median values: 0.21544, and quantile values: 0.25 0.057684\n0.50 0.215440\n0.75 0.878045\nName: 7652, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.543997754944654, std values: 4.795359096101729, min values: 1.3442e-06, max values: 38.187, median values: 0.25897, and quantile values: 0.25 0.06760\n0.50 0.25897\n0.75 0.96746\nName: 7653, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3823503695238992, std values: 4.637120615994604, min values: 1.4129e-06, max values: 38.412, median values: 0.18807, and quantile values: 0.25 0.061779\n0.50 0.188070\n0.75 0.830105\nName: 7654, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.409983020155541, std values: 4.7006433350724635, min values: 6.4361e-08, max values: 37.463, median values: 0.21688, and quantile values: 0.25 0.04863\n0.50 0.21688\n0.75 0.80512\nName: 7655, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.400274826662893, std values: 4.999786072504476, min values: 2.8333e-06, max values: 40.638, median values: 0.20569, and quantile values: 0.25 0.056665\n0.50 0.205690\n0.75 0.777030\nName: 7656, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5516910966742141, std values: 4.979719688624488, min values: 4.0661e-06, max values: 39.682, median values: 0.24758, and quantile values: 0.25 0.074768\n0.50 0.247580\n0.75 1.011365\nName: 7657, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4804899878754718, std values: 4.887557519341905, min values: 1.3357e-06, max values: 38.697, median values: 0.21127, and quantile values: 0.25 0.071449\n0.50 0.211270\n0.75 0.861325\nName: 7658, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4742120994997483, std values: 4.856326909921523, min values: 1.5186e-07, max values: 39.724, median values: 0.21884, and quantile values: 0.25 0.059345\n0.50 0.218840\n0.75 0.866485\nName: 7659, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4315934459672954, std values: 4.89792708176916, min values: 2.3392e-06, max values: 39.595, median values: 0.21166, and quantile values: 0.25 0.061167\n0.50 0.211660\n0.75 0.916145\nName: 7660, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.475735399654717, std values: 5.14118992927903, min values: 1.3028e-06, max values: 44.281, median values: 0.21385, and quantile values: 0.25 0.063550\n0.50 0.213850\n0.75 0.887905\nName: 7661, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4881803980220127, std values: 5.214472598006315, min values: 4.482e-06, max values: 42.943, median values: 0.22692, and quantile values: 0.25 0.060347\n0.50 0.226920\n0.75 0.805465\nName: 7662, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5261971979213838, std values: 4.844427570820646, min values: 0.0, max values: 38.734, median values: 0.25257, and quantile values: 0.25 0.068914\n0.50 0.252570\n0.75 1.015490\nName: 7663, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3383960984937107, std values: 4.866796191523962, min values: 1.6885e-06, max values: 39.41, median values: 0.16631, and quantile values: 0.25 0.057737\n0.50 0.166310\n0.75 0.751365\nName: 7664, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5888060270628932, std values: 5.13203222798786, min values: 1.9339e-06, max values: 42.44, median values: 0.23365, and quantile values: 0.25 0.061873\n0.50 0.233650\n0.75 0.990085\nName: 7665, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5383174028088051, std values: 4.993184860308682, min values: 1.2682e-06, max values: 40.571, median values: 0.23327, and quantile values: 0.25 0.065993\n0.50 0.233270\n0.75 0.958350\nName: 7666, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.757560755536478, std values: 5.266571235384864, min values: 3.1827e-06, max values: 42.055, median values: 0.27251, and quantile values: 0.25 0.089056\n0.50 0.272510\n0.75 1.112250\nName: 7667, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2828724455321385, std values: 4.598440952573624, min values: 6.8581e-07, max values: 37.565, median values: 0.19051, and quantile values: 0.25 0.046175\n0.50 0.190510\n0.75 0.718380\nName: 7668, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6991613793540876, std values: 5.236035418653743, min values: 5.0483e-06, max values: 41.743, median values: 0.28086, and quantile values: 0.25 0.074557\n0.50 0.280860\n0.75 1.054100\nName: 7669, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5223650375484277, std values: 5.043480540427732, min values: 3.3949e-06, max values: 40.095, median values: 0.25686, and quantile values: 0.25 0.067312\n0.50 0.256860\n0.75 0.878655\nName: 7670, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4590491825572327, std values: 4.807877401621277, min values: 1.317e-06, max values: 38.942, median values: 0.21546, and quantile values: 0.25 0.064534\n0.50 0.215460\n0.75 0.888365\nName: 7671, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4446396495861638, std values: 5.082374311033871, min values: 4.8181e-06, max values: 41.432, median values: 0.22062, and quantile values: 0.25 0.065637\n0.50 0.220620\n0.75 0.700290\nName: 7672, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6086662446616353, std values: 5.08499946250226, min values: 4.7067e-06, max values: 40.118, median values: 0.26186, and quantile values: 0.25 0.078521\n0.50 0.261860\n0.75 0.962090\nName: 7673, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.385016856027044, std values: 4.661261852866941, min values: 2.1631e-06, max values: 38.311, median values: 0.20897, and quantile values: 0.25 0.064508\n0.50 0.208970\n0.75 0.821590\nName: 7674, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4124156843125786, std values: 5.002479374654576, min values: 1.6249e-06, max values: 41.07, median values: 0.19668, and quantile values: 0.25 0.055673\n0.50 0.196680\n0.75 0.819150\nName: 7675, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3759016007094342, std values: 4.833448260613641, min values: 1.3355e-06, max values: 39.227, median values: 0.1836, and quantile values: 0.25 0.054547\n0.50 0.183600\n0.75 0.790395\nName: 7676, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.581775198539623, std values: 5.073894115712616, min values: 1.5096e-06, max values: 42.234, median values: 0.26589, and quantile values: 0.25 0.073348\n0.50 0.265890\n0.75 1.005515\nName: 7677, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8749218033402513, std values: 5.447005329935559, min values: 8.9271e-06, max values: 41.754, median values: 0.30938, and quantile values: 0.25 0.084709\n0.50 0.309380\n0.75 1.202750\nName: 7678, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5276082342220125, std values: 4.711227452809932, min values: 1.569e-06, max values: 38.239, median values: 0.22476, and quantile values: 0.25 0.065339\n0.50 0.224760\n0.75 0.971390\nName: 7679, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.349745660499497, std values: 4.719329970504615, min values: 7.6492e-07, max values: 38.29, median values: 0.20343, and quantile values: 0.25 0.054480\n0.50 0.203430\n0.75 0.757085\nName: 7680, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5527818175054717, std values: 5.129967082036267, min values: 2.1792e-07, max values: 44.374, median values: 0.22787, and quantile values: 0.25 0.055189\n0.50 0.227870\n0.75 0.918470\nName: 7681, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3824209087660502, std values: 4.863486304191906, min values: 2.4132e-08, max values: 41.134, median values: 0.19625, and quantile values: 0.25 0.050279\n0.50 0.196250\n0.75 0.840025\nName: 7682, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.63070879755912, std values: 4.833833572753705, min values: 1.996e-06, max values: 39.468, median values: 0.26735, and quantile values: 0.25 0.075082\n0.50 0.267350\n0.75 1.146450\nName: 7683, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.348547931246107, std values: 4.615716716032054, min values: 1.5391e-08, max values: 36.753, median values: 0.17117, and quantile values: 0.25 0.046021\n0.50 0.171170\n0.75 0.845410\nName: 7684, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2692682409377358, std values: 4.804032771478241, min values: 8.868e-07, max values: 39.24, median values: 0.16011, and quantile values: 0.25 0.048269\n0.50 0.160110\n0.75 0.631745\nName: 7685, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3666335322030818, std values: 4.938773925227703, min values: 4.0063e-07, max values: 42.317, median values: 0.16899, and quantile values: 0.25 0.052837\n0.50 0.168990\n0.75 0.688020\nName: 7686, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5303707341937107, std values: 5.15972323854207, min values: 2.1673e-06, max values: 43.033, median values: 0.24383, and quantile values: 0.25 0.071215\n0.50 0.243830\n0.75 0.975330\nName: 7687, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6401073127886163, std values: 5.159337917053365, min values: 7.2099e-07, max values: 43.123, median values: 0.26271, and quantile values: 0.25 0.069840\n0.50 0.262710\n0.75 1.075825\nName: 7688, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6737275375427674, std values: 5.102382118778717, min values: 3.3398e-06, max values: 40.162, median values: 0.28924, and quantile values: 0.25 0.073692\n0.50 0.289240\n0.75 1.073000\nName: 7689, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7231903054308177, std values: 5.153911248116838, min values: 3.5673e-06, max values: 40.515, median values: 0.28999, and quantile values: 0.25 0.072518\n0.50 0.289990\n0.75 1.153200\nName: 7690, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4471098021666666, std values: 4.903043021798084, min values: 2.2955e-06, max values: 39.051, median values: 0.22645, and quantile values: 0.25 0.064148\n0.50 0.226450\n0.75 0.846675\nName: 7691, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4733133971222643, std values: 4.9327158987938, min values: 3.2134e-07, max values: 40.951, median values: 0.18842, and quantile values: 0.25 0.055563\n0.50 0.188420\n0.75 0.880585\nName: 7692, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5673944952595973, std values: 5.0212736161658, min values: 0.0, max values: 42.605, median values: 0.19191, and quantile values: 0.25 0.045348\n0.50 0.191910\n0.75 0.915590\nName: 7693, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5959099508728931, std values: 5.044299820267503, min values: 9.0439e-07, max values: 41.483, median values: 0.24824, and quantile values: 0.25 0.071315\n0.50 0.248240\n0.75 1.051470\nName: 7694, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4548104880552832, std values: 4.770597559822984, min values: 7.5649e-07, max values: 38.264, median values: 0.22082, and quantile values: 0.25 0.062349\n0.50 0.220820\n0.75 0.901515\nName: 7695, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5570911485446541, std values: 5.014216095771452, min values: 3.3085e-06, max values: 39.655, median values: 0.26542, and quantile values: 0.25 0.076319\n0.50 0.265420\n0.75 0.983235\nName: 7696, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.694781938497484, std values: 5.249784465175031, min values: 1.1904e-06, max values: 43.96, median values: 0.25485, and quantile values: 0.25 0.065016\n0.50 0.254850\n0.75 1.145650\nName: 7697, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6355543123496852, std values: 5.082493960379706, min values: 2.1342e-06, max values: 41.559, median values: 0.26028, and quantile values: 0.25 0.077398\n0.50 0.260280\n0.75 1.053650\nName: 7698, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.189093290891195, std values: 4.507019645467702, min values: 6.259e-07, max values: 39.019, median values: 0.15371, and quantile values: 0.25 0.041187\n0.50 0.153710\n0.75 0.603555\nName: 7699, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5911748992490569, std values: 4.998304598897147, min values: 1.9893e-06, max values: 39.462, median values: 0.2743, and quantile values: 0.25 0.073408\n0.50 0.274300\n0.75 1.039950\nName: 7700, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5150560378245281, std values: 4.896151065404476, min values: 1.665e-06, max values: 38.754, median values: 0.25525, and quantile values: 0.25 0.071058\n0.50 0.255250\n0.75 0.933985\nName: 7701, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5011148422352203, std values: 4.900030666416362, min values: 4.1881e-06, max values: 40.227, median values: 0.25237, and quantile values: 0.25 0.065112\n0.50 0.252370\n0.75 0.817080\nName: 7702, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.722709645019497, std values: 5.185708335330563, min values: 1.4589e-06, max values: 42.151, median values: 0.29586, and quantile values: 0.25 0.070581\n0.50 0.295860\n0.75 1.213150\nName: 7703, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4665588461484276, std values: 5.2901732720212635, min values: 1.457e-06, max values: 46.498, median values: 0.18751, and quantile values: 0.25 0.05899\n0.50 0.18751\n0.75 0.83574\nName: 7704, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.359188019157044, std values: 4.667635377140721, min values: 2.6597e-07, max values: 36.924, median values: 0.18302, and quantile values: 0.25 0.050992\n0.50 0.183020\n0.75 0.759745\nName: 7705, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6933818152603775, std values: 5.0539540071918765, min values: 1.2757e-06, max values: 39.94, median values: 0.26508, and quantile values: 0.25 0.072396\n0.50 0.265080\n0.75 1.047450\nName: 7706, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4297654267270439, std values: 4.819747642008551, min values: 1.3725e-06, max values: 38.342, median values: 0.2023, and quantile values: 0.25 0.065470\n0.50 0.202300\n0.75 0.844835\nName: 7707, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.773319229027673, std values: 5.376402987150791, min values: 3.6625e-06, max values: 44.131, median values: 0.2877, and quantile values: 0.25 0.078801\n0.50 0.287700\n0.75 1.158500\nName: 7708, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.609246739135849, std values: 4.9780140359987755, min values: 1.378e-06, max values: 39.13, median values: 0.23362, and quantile values: 0.25 0.066837\n0.50 0.233620\n0.75 1.055500\nName: 7709, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3300835383247798, std values: 4.966745947888097, min values: 9.1454e-07, max values: 41.269, median values: 0.16087, and quantile values: 0.25 0.051352\n0.50 0.160870\n0.75 0.715475\nName: 7710, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6023695560018871, std values: 4.820834168104698, min values: 4.7271e-06, max values: 40.522, median values: 0.25993, and quantile values: 0.25 0.079313\n0.50 0.259930\n0.75 1.059250\nName: 7711, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4701070088867925, std values: 4.638485881815072, min values: 2.1386e-06, max values: 38.582, median values: 0.25153, and quantile values: 0.25 0.079616\n0.50 0.251530\n0.75 0.920910\nName: 7712, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8132519918188679, std values: 5.153180494128192, min values: 3.4228e-06, max values: 40.067, median values: 0.32111, and quantile values: 0.25 0.081407\n0.50 0.321110\n0.75 1.328600\nName: 7713, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4605789076672955, std values: 4.951628402628857, min values: 3.4484e-06, max values: 39.991, median values: 0.22555, and quantile values: 0.25 0.070699\n0.50 0.225550\n0.75 0.854125\nName: 7714, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4245063610955975, std values: 4.96852972851363, min values: 3.9205e-06, max values: 40.93, median values: 0.21856, and quantile values: 0.25 0.067647\n0.50 0.218560\n0.75 0.750775\nName: 7715, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.480326355090566, std values: 4.980607985459102, min values: 1.4696e-06, max values: 40.527, median values: 0.2053, and quantile values: 0.25 0.065337\n0.50 0.205300\n0.75 0.896805\nName: 7716, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3626956194025157, std values: 4.938926118572, min values: 2.9865e-06, max values: 40.711, median values: 0.19119, and quantile values: 0.25 0.057118\n0.50 0.191190\n0.75 0.741330\nName: 7717, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4550377487679245, std values: 4.871119538843768, min values: 3.5495e-06, max values: 39.417, median values: 0.23066, and quantile values: 0.25 0.072036\n0.50 0.230660\n0.75 0.855745\nName: 7718, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6804977880547172, std values: 5.409526437455028, min values: 3.7232e-06, max values: 46.118, median values: 0.28272, and quantile values: 0.25 0.074328\n0.50 0.282720\n0.75 0.980510\nName: 7719, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4479349701130568, std values: 4.881066104838736, min values: 3.5896e-08, max values: 40.497, median values: 0.16405, and quantile values: 0.25 0.04423\n0.50 0.16405\n0.75 0.80140\nName: 7720, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6665440178823898, std values: 5.0020714905121455, min values: 1.292e-06, max values: 39.627, median values: 0.29277, and quantile values: 0.25 0.073479\n0.50 0.292770\n0.75 1.158650\nName: 7721, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2413167265735847, std values: 5.012095876655144, min values: 1.6667e-06, max values: 41.727, median values: 0.14719, and quantile values: 0.25 0.041844\n0.50 0.147190\n0.75 0.561925\nName: 7722, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6601763337811317, std values: 5.0372637781418, min values: 3.37e-06, max values: 39.961, median values: 0.30382, and quantile values: 0.25 0.079435\n0.50 0.303820\n0.75 1.072550\nName: 7723, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5276891905475471, std values: 4.924871019466844, min values: 6.5316e-07, max values: 40.47, median values: 0.25978, and quantile values: 0.25 0.070080\n0.50 0.259780\n0.75 0.972675\nName: 7724, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3416678933723272, std values: 4.647439646074493, min values: 4.923e-07, max values: 37.937, median values: 0.18345, and quantile values: 0.25 0.051841\n0.50 0.183450\n0.75 0.720365\nName: 7725, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6842752930779874, std values: 5.283046382081556, min values: 1.7417e-06, max values: 44.859, median values: 0.24975, and quantile values: 0.25 0.071286\n0.50 0.249750\n0.75 1.083800\nName: 7726, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3760039274882516, std values: 4.760864875043368, min values: 2.6252e-08, max values: 38.872, median values: 0.15637, and quantile values: 0.25 0.039454\n0.50 0.156370\n0.75 0.752495\nName: 7727, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.658691973526604, std values: 5.10053552163488, min values: 7.8673e-07, max values: 41.46, median values: 0.26651, and quantile values: 0.25 0.07471\n0.50 0.26651\n0.75 1.06980\nName: 7728, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.451115687118868, std values: 4.9193857096471865, min values: 1.0414e-06, max values: 39.996, median values: 0.22971, and quantile values: 0.25 0.062725\n0.50 0.229710\n0.75 0.867595\nName: 7729, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5983067602754715, std values: 5.066509074392781, min values: 3.4572e-06, max values: 40.249, median values: 0.24697, and quantile values: 0.25 0.069782\n0.50 0.246970\n0.75 1.035900\nName: 7730, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.635271245960377, std values: 4.91757029370021, min values: 1.8773e-06, max values: 38.868, median values: 0.26382, and quantile values: 0.25 0.07742\n0.50 0.26382\n0.75 1.10235\nName: 7731, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6254213488522014, std values: 5.332699157326557, min values: 2.6145e-06, max values: 45.598, median values: 0.25871, and quantile values: 0.25 0.072478\n0.50 0.258710\n0.75 1.031190\nName: 7732, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4473042493113206, std values: 4.981523089010189, min values: 3.1122e-06, max values: 39.734, median values: 0.23135, and quantile values: 0.25 0.055758\n0.50 0.231350\n0.75 0.802230\nName: 7733, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3053858722938363, std values: 4.785014797984193, min values: 7.8549e-07, max values: 39.654, median values: 0.13217, and quantile values: 0.25 0.035893\n0.50 0.132170\n0.75 0.693725\nName: 7734, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3594207332437926, std values: 4.756788419535186, min values: 7.7563e-08, max values: 37.935, median values: 0.1869, and quantile values: 0.25 0.048907\n0.50 0.186900\n0.75 0.768220\nName: 7735, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4848067260023903, std values: 4.82864695665354, min values: 2.3718e-07, max values: 38.495, median values: 0.23498, and quantile values: 0.25 0.062398\n0.50 0.234980\n0.75 0.955790\nName: 7736, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3552471049526416, std values: 4.767880185357704, min values: 3.8677e-07, max values: 38.394, median values: 0.1869, and quantile values: 0.25 0.056954\n0.50 0.186900\n0.75 0.734530\nName: 7737, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6417809368188683, std values: 5.0156289589904555, min values: 1.2501e-06, max values: 40.131, median values: 0.28408, and quantile values: 0.25 0.073342\n0.50 0.284080\n0.75 1.049650\nName: 7738, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6992056361244023, std values: 5.151558823851747, min values: 6.6468e-07, max values: 42.659, median values: 0.26545, and quantile values: 0.25 0.069804\n0.50 0.265450\n0.75 1.209250\nName: 7739, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.663977059381132, std values: 5.241638188551095, min values: 1.3584e-06, max values: 44.721, median values: 0.26383, and quantile values: 0.25 0.074414\n0.50 0.263830\n0.75 1.094550\nName: 7740, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.455876410542767, std values: 4.824061000040097, min values: 3.7868e-06, max values: 40.42, median values: 0.24138, and quantile values: 0.25 0.063404\n0.50 0.241380\n0.75 0.841935\nName: 7741, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.500579573654717, std values: 4.846014856002671, min values: 1.1743e-06, max values: 38.705, median values: 0.23697, and quantile values: 0.25 0.064441\n0.50 0.236970\n0.75 0.883740\nName: 7742, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7180620897195598, std values: 5.64987393687436, min values: 7.9651e-07, max values: 51.122, median values: 0.25904, and quantile values: 0.25 0.071425\n0.50 0.259040\n0.75 1.172350\nName: 7743, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5356042399609433, std values: 5.07676254917023, min values: 2.258e-08, max values: 43.568, median values: 0.16941, and quantile values: 0.25 0.050679\n0.50 0.169410\n0.75 0.873195\nName: 7744, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.448535674074151, std values: 5.070295274451411, min values: 9.6589e-07, max values: 43.253, median values: 0.20253, and quantile values: 0.25 0.061569\n0.50 0.202530\n0.75 0.843345\nName: 7745, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4376217414495596, std values: 4.83184476901348, min values: 7.6988e-07, max values: 38.736, median values: 0.21141, and quantile values: 0.25 0.057718\n0.50 0.211410\n0.75 0.821635\nName: 7746, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3733795070735222, std values: 4.55938755614161, min values: 5.7259e-07, max values: 37.003, median values: 0.19548, and quantile values: 0.25 0.061428\n0.50 0.195480\n0.75 0.854945\nName: 7747, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5930661879138366, std values: 5.333637037269352, min values: 3.974e-06, max values: 43.483, median values: 0.24124, and quantile values: 0.25 0.072247\n0.50 0.241240\n0.75 0.935155\nName: 7748, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5485569935937107, std values: 5.104424383288517, min values: 4.1865e-06, max values: 40.464, median values: 0.24268, and quantile values: 0.25 0.072693\n0.50 0.242680\n0.75 0.876505\nName: 7749, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2925934479833332, std values: 4.6043863886458345, min values: 9.7415e-07, max values: 38.379, median values: 0.17636, and quantile values: 0.25 0.057287\n0.50 0.176360\n0.75 0.736170\nName: 7750, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5301416633930818, std values: 4.836103204378744, min values: 3.401e-06, max values: 39.445, median values: 0.27089, and quantile values: 0.25 0.067249\n0.50 0.270890\n0.75 0.901715\nName: 7751, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2505806173981133, std values: 4.5778428158402376, min values: 6.035e-07, max values: 37.942, median values: 0.17819, and quantile values: 0.25 0.050469\n0.50 0.178190\n0.75 0.677050\nName: 7752, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9650520596220127, std values: 5.882489244630168, min values: 7.189e-07, max values: 53.927, median values: 0.32115, and quantile values: 0.25 0.08214\n0.50 0.32115\n0.75 1.36135\nName: 7753, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5296078629288865, std values: 4.910925827965541, min values: 2.9493e-08, max values: 40.039, median values: 0.21398, and quantile values: 0.25 0.056121\n0.50 0.213980\n0.75 0.997305\nName: 7754, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.316857673618239, std values: 5.109224873993719, min values: 1.0892e-06, max values: 44.049, median values: 0.15886, and quantile values: 0.25 0.045091\n0.50 0.158860\n0.75 0.670520\nName: 7755, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.354749271898522, std values: 4.663296593967019, min values: 2.9305e-08, max values: 37.512, median values: 0.15878, and quantile values: 0.25 0.038487\n0.50 0.158780\n0.75 0.693205\nName: 7756, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5501448559666664, std values: 4.904559977008798, min values: 1.2901e-06, max values: 38.684, median values: 0.21627, and quantile values: 0.25 0.06591\n0.50 0.21627\n0.75 0.98118\nName: 7757, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4479516270144654, std values: 4.927250613827935, min values: 2.5369e-06, max values: 39.393, median values: 0.23587, and quantile values: 0.25 0.062046\n0.50 0.235870\n0.75 0.880665\nName: 7758, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7805121776880506, std values: 5.149812786689605, min values: 2.8067e-06, max values: 39.966, median values: 0.30176, and quantile values: 0.25 0.094612\n0.50 0.301760\n0.75 1.207450\nName: 7759, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5594365532138363, std values: 4.599400032823665, min values: 1.4715e-06, max values: 37.875, median values: 0.24386, and quantile values: 0.25 0.074456\n0.50 0.243860\n0.75 1.057150\nName: 7760, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4135499246559746, std values: 4.852624584303791, min values: 1.1754e-06, max values: 38.955, median values: 0.20421, and quantile values: 0.25 0.057354\n0.50 0.204210\n0.75 0.844545\nName: 7761, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6295468657874215, std values: 5.0696548590528865, min values: 1.3773e-06, max values: 41.107, median values: 0.27187, and quantile values: 0.25 0.068764\n0.50 0.271870\n0.75 1.014490\nName: 7762, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5277513019584905, std values: 4.947158662014487, min values: 2.2892e-06, max values: 39.148, median values: 0.24056, and quantile values: 0.25 0.063675\n0.50 0.240560\n0.75 0.960620\nName: 7763, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5616586238930816, std values: 5.003663883947028, min values: 1.7977e-06, max values: 40.472, median values: 0.2584, and quantile values: 0.25 0.073516\n0.50 0.258400\n0.75 1.037750\nName: 7764, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5894693207314716, std values: 4.892345401648546, min values: 1.8814e-08, max values: 39.864, median values: 0.21366, and quantile values: 0.25 0.05179\n0.50 0.21366\n0.75 1.07835\nName: 7765, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3893524280030187, std values: 4.913841490219905, min values: 5.1048e-07, max values: 41.566, median values: 0.18736, and quantile values: 0.25 0.056262\n0.50 0.187360\n0.75 0.768330\nName: 7766, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.371120761091107, std values: 4.710506321646365, min values: 2.2835e-08, max values: 38.528, median values: 0.18184, and quantile values: 0.25 0.039736\n0.50 0.181840\n0.75 0.756780\nName: 7767, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3787659794292453, std values: 5.09388713592099, min values: 8.0815e-07, max values: 44.448, median values: 0.14304, and quantile values: 0.25 0.038611\n0.50 0.143040\n0.75 0.706270\nName: 7768, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4439242831635217, std values: 5.043698922058763, min values: 2.1169e-06, max values: 41.665, median values: 0.23349, and quantile values: 0.25 0.063181\n0.50 0.233490\n0.75 0.825875\nName: 7769, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6337397604426416, std values: 5.022832820593702, min values: 2.983e-08, max values: 41.357, median values: 0.24129, and quantile values: 0.25 0.048656\n0.50 0.241290\n0.75 1.085400\nName: 7770, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5213729270231446, std values: 4.805325361182693, min values: 3.8498e-07, max values: 37.738, median values: 0.22518, and quantile values: 0.25 0.064909\n0.50 0.225180\n0.75 1.017500\nName: 7771, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.620888299271069, std values: 4.98465336778557, min values: 1.5713e-06, max values: 39.124, median values: 0.2537, and quantile values: 0.25 0.075189\n0.50 0.253700\n0.75 1.087650\nName: 7772, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6791377180125786, std values: 5.191676663690179, min values: 7.701e-06, max values: 41.77, median values: 0.28795, and quantile values: 0.25 0.078760\n0.50 0.287950\n0.75 1.007315\nName: 7773, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.460727711460868, std values: 4.829565532093655, min values: 2.0028e-08, max values: 39.283, median values: 0.1898, and quantile values: 0.25 0.042173\n0.50 0.189800\n0.75 0.861500\nName: 7774, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3678106770802514, std values: 4.661910661479805, min values: 2.8536e-07, max values: 37.64, median values: 0.19225, and quantile values: 0.25 0.055623\n0.50 0.192250\n0.75 0.796150\nName: 7775, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5984130672584906, std values: 4.976400402036886, min values: 3.813e-06, max values: 40.427, median values: 0.25387, and quantile values: 0.25 0.067502\n0.50 0.253870\n0.75 0.968020\nName: 7776, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.283011604154692, std values: 4.804559506984655, min values: 2.2664e-08, max values: 40.707, median values: 0.1559, and quantile values: 0.25 0.036741\n0.50 0.155900\n0.75 0.627670\nName: 7777, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2356342334203774, std values: 4.343101760676558, min values: 1.6476e-07, max values: 36.146, median values: 0.16248, and quantile values: 0.25 0.039969\n0.50 0.162480\n0.75 0.661865\nName: 7778, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4211413508647797, std values: 4.650411907843239, min values: 8.361e-07, max values: 37.81, median values: 0.22924, and quantile values: 0.25 0.061274\n0.50 0.229240\n0.75 0.906585\nName: 7779, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.581955143968553, std values: 4.90942348317064, min values: 3.5761e-06, max values: 39.08, median values: 0.28366, and quantile values: 0.25 0.081796\n0.50 0.283660\n0.75 1.001905\nName: 7780, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5665279842955975, std values: 5.20625167208492, min values: 2.4477e-06, max values: 43.361, median values: 0.23158, and quantile values: 0.25 0.067749\n0.50 0.231580\n0.75 0.968230\nName: 7781, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.527352081718239, std values: 5.371965109219348, min values: 4.213e-06, max values: 45.976, median values: 0.24007, and quantile values: 0.25 0.073633\n0.50 0.240070\n0.75 0.803870\nName: 7782, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8481407173899371, std values: 5.202444483645991, min values: 3.5351e-06, max values: 39.912, median values: 0.37472, and quantile values: 0.25 0.098127\n0.50 0.374720\n0.75 1.285850\nName: 7783, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6570511654444655, std values: 5.2839966633827755, min values: 7.0867e-07, max values: 45.926, median values: 0.2177, and quantile values: 0.25 0.06078\n0.50 0.21770\n0.75 1.05380\nName: 7784, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3112185481968552, std values: 4.987202468500855, min values: 1.1573e-06, max values: 41.42, median values: 0.18536, and quantile values: 0.25 0.046544\n0.50 0.185360\n0.75 0.670925\nName: 7785, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5946137573880503, std values: 5.1097910076290205, min values: 2.311e-06, max values: 41.356, median values: 0.25211, and quantile values: 0.25 0.066484\n0.50 0.252110\n0.75 1.010920\nName: 7786, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6846267847308176, std values: 5.136512324867554, min values: 3.2898e-06, max values: 41.063, median values: 0.32343, and quantile values: 0.25 0.081601\n0.50 0.323430\n0.75 1.119950\nName: 7787, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.294120959062893, std values: 4.776165423153968, min values: 1.7163e-06, max values: 38.652, median values: 0.18977, and quantile values: 0.25 0.057299\n0.50 0.189770\n0.75 0.679550\nName: 7788, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4551983288861636, std values: 4.980243925234402, min values: 3.3488e-06, max values: 40.091, median values: 0.2067, and quantile values: 0.25 0.074237\n0.50 0.206700\n0.75 0.794430\nName: 7789, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3948771019974844, std values: 4.893720703208459, min values: 1.243e-06, max values: 40.302, median values: 0.21272, and quantile values: 0.25 0.064041\n0.50 0.212720\n0.75 0.797945\nName: 7790, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2829571515216351, std values: 4.715621336861851, min values: 4.8404e-07, max values: 37.856, median values: 0.15359, and quantile values: 0.25 0.040679\n0.50 0.153590\n0.75 0.668290\nName: 7791, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.515163508655346, std values: 4.874059999845273, min values: 3.3083e-06, max values: 39.826, median values: 0.24185, and quantile values: 0.25 0.062202\n0.50 0.241850\n0.75 0.919405\nName: 7792, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6397922626901886, std values: 5.009254518308675, min values: 9.3104e-07, max values: 40.579, median values: 0.25583, and quantile values: 0.25 0.067635\n0.50 0.255830\n0.75 1.124250\nName: 7793, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4302030032577357, std values: 4.6913501985814525, min values: 8.6018e-07, max values: 37.774, median values: 0.22744, and quantile values: 0.25 0.064944\n0.50 0.227440\n0.75 0.952070\nName: 7794, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3798760216178427, std values: 4.712378107271241, min values: 3.2677e-08, max values: 37.753, median values: 0.1994, and quantile values: 0.25 0.045441\n0.50 0.199400\n0.75 0.815420\nName: 7795, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4745681910427675, std values: 4.90757243259736, min values: 3.1561e-06, max values: 39.508, median values: 0.24123, and quantile values: 0.25 0.07136\n0.50 0.24123\n0.75 0.80786\nName: 7796, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4882230756301573, std values: 4.876428523319008, min values: 2.9885e-08, max values: 40.302, median values: 0.2159, and quantile values: 0.25 0.052912\n0.50 0.215900\n0.75 0.912775\nName: 7797, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3583910959023273, std values: 4.7482379145506695, min values: 9.0487e-07, max values: 38.239, median values: 0.21692, and quantile values: 0.25 0.05991\n0.50 0.21692\n0.75 0.74036\nName: 7798, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3202568619004404, std values: 5.024966811517735, min values: 5.6047e-07, max values: 43.551, median values: 0.17234, and quantile values: 0.25 0.050905\n0.50 0.172340\n0.75 0.647270\nName: 7799, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5394414019955975, std values: 5.15859579756382, min values: 3.948e-06, max values: 41.32, median values: 0.24632, and quantile values: 0.25 0.071112\n0.50 0.246320\n0.75 0.865550\nName: 7800, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.38183163562117, std values: 4.697817485926386, min values: 2.5726e-08, max values: 37.161, median values: 0.21974, and quantile values: 0.25 0.048583\n0.50 0.219740\n0.75 0.851055\nName: 7801, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7456633656872325, std values: 5.093131934748953, min values: 9.9247e-07, max values: 41.681, median values: 0.31791, and quantile values: 0.25 0.087313\n0.50 0.317910\n0.75 1.212150\nName: 7802, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5792267761281134, std values: 5.015564496057066, min values: 1.7977e-07, max values: 41.388, median values: 0.24541, and quantile values: 0.25 0.054478\n0.50 0.245410\n0.75 0.995590\nName: 7803, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5955664449748428, std values: 4.867585755179007, min values: 2.6023e-06, max values: 39.586, median values: 0.27817, and quantile values: 0.25 0.079870\n0.50 0.278170\n0.75 0.987595\nName: 7804, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.362174732463585, std values: 4.726247822692971, min values: 8.6711e-07, max values: 37.798, median values: 0.2074, and quantile values: 0.25 0.061935\n0.50 0.207400\n0.75 0.727695\nName: 7805, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.39849575892717, std values: 4.681101274197651, min values: 3.3452e-07, max values: 38.609, median values: 0.20039, and quantile values: 0.25 0.055375\n0.50 0.200390\n0.75 0.800705\nName: 7806, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3280731338847798, std values: 4.590849653615946, min values: 3.6158e-07, max values: 37.628, median values: 0.16876, and quantile values: 0.25 0.048072\n0.50 0.168760\n0.75 0.744000\nName: 7807, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.688162237780503, std values: 5.111933144305605, min values: 1.7487e-06, max values: 40.331, median values: 0.26556, and quantile values: 0.25 0.077398\n0.50 0.265560\n0.75 1.093450\nName: 7808, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6120971409427671, std values: 5.4260215671455265, min values: 3.4513e-06, max values: 47.243, median values: 0.22904, and quantile values: 0.25 0.078262\n0.50 0.229040\n0.75 0.943525\nName: 7809, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5159836896522014, std values: 5.044222758919412, min values: 0.0, max values: 40.972, median values: 0.23059, and quantile values: 0.25 0.068693\n0.50 0.230590\n0.75 0.904005\nName: 7810, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.670563411125157, std values: 4.964900323737483, min values: 2.3146e-06, max values: 39.101, median values: 0.31879, and quantile values: 0.25 0.089161\n0.50 0.318790\n0.75 1.122700\nName: 7811, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4478245991918237, std values: 4.857432908440794, min values: 8.707e-07, max values: 39.172, median values: 0.21615, and quantile values: 0.25 0.066331\n0.50 0.216150\n0.75 0.793090\nName: 7812, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.517389426807547, std values: 5.0408942895548625, min values: 1.3277e-06, max values: 41.262, median values: 0.23243, and quantile values: 0.25 0.06682\n0.50 0.23243\n0.75 0.88817\nName: 7813, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4471318425792452, std values: 5.014765120445418, min values: 1.6375e-06, max values: 41.305, median values: 0.18861, and quantile values: 0.25 0.055285\n0.50 0.188610\n0.75 0.833790\nName: 7814, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5123430649433962, std values: 5.059115954000146, min values: 1.9302e-06, max values: 41.565, median values: 0.23095, and quantile values: 0.25 0.064663\n0.50 0.230950\n0.75 0.905125\nName: 7815, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5889093357691824, std values: 4.9039604865763335, min values: 3.9643e-06, max values: 40.515, median values: 0.26058, and quantile values: 0.25 0.065909\n0.50 0.260580\n0.75 0.998090\nName: 7816, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5695573866919497, std values: 5.157474172716872, min values: 2.1859e-07, max values: 45.077, median values: 0.20548, and quantile values: 0.25 0.052424\n0.50 0.205480\n0.75 0.931005\nName: 7817, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4398491105108806, std values: 4.788132610400146, min values: 8.3493e-07, max values: 37.832, median values: 0.21056, and quantile values: 0.25 0.063811\n0.50 0.210560\n0.75 0.832035\nName: 7818, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2364397546503145, std values: 4.747417118105489, min values: 1.0044e-06, max values: 38.534, median values: 0.13753, and quantile values: 0.25 0.048718\n0.50 0.137530\n0.75 0.634985\nName: 7819, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7062251002433961, std values: 5.166722739508254, min values: 5.8962e-06, max values: 40.135, median values: 0.28341, and quantile values: 0.25 0.089224\n0.50 0.283410\n0.75 1.053200\nName: 7820, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6121189176898743, std values: 4.999972066042003, min values: 6.2309e-07, max values: 40.394, median values: 0.27204, and quantile values: 0.25 0.064718\n0.50 0.272040\n0.75 1.087250\nName: 7821, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7004173354061007, std values: 5.192881649455754, min values: 6.6217e-07, max values: 43.839, median values: 0.29012, and quantile values: 0.25 0.07739\n0.50 0.29012\n0.75 1.16915\nName: 7822, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2869120326816352, std values: 4.976965428164098, min values: 9.0198e-07, max values: 41.638, median values: 0.15355, and quantile values: 0.25 0.044022\n0.50 0.153550\n0.75 0.640540\nName: 7823, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.368976307118522, std values: 4.79903393608565, min values: 1.2045e-08, max values: 40.236, median values: 0.17219, and quantile values: 0.25 0.044133\n0.50 0.172190\n0.75 0.758915\nName: 7824, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.666201625376101, std values: 5.031732788940061, min values: 1.8518e-06, max values: 40.249, median values: 0.26728, and quantile values: 0.25 0.094269\n0.50 0.267280\n0.75 1.052950\nName: 7825, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.356749730591824, std values: 4.897881549446801, min values: 1.9059e-06, max values: 40.352, median values: 0.18441, and quantile values: 0.25 0.062076\n0.50 0.184410\n0.75 0.712730\nName: 7826, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.450607336018868, std values: 5.01615158550371, min values: 1.3301e-06, max values: 41.956, median values: 0.22046, and quantile values: 0.25 0.066051\n0.50 0.220460\n0.75 0.851205\nName: 7827, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2361331112684275, std values: 4.583801956277293, min values: 2.8439e-07, max values: 36.651, median values: 0.16074, and quantile values: 0.25 0.045843\n0.50 0.160740\n0.75 0.686380\nName: 7828, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5132797735327044, std values: 4.939973026362763, min values: 2.1388e-06, max values: 39.111, median values: 0.23211, and quantile values: 0.25 0.068760\n0.50 0.232110\n0.75 0.967775\nName: 7829, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5848338771996855, std values: 4.896872889786964, min values: 1.6745e-07, max values: 38.626, median values: 0.25043, and quantile values: 0.25 0.059734\n0.50 0.250430\n0.75 1.036250\nName: 7830, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2985871307992451, std values: 4.804564547818745, min values: 8.2228e-07, max values: 39.256, median values: 0.16563, and quantile values: 0.25 0.058727\n0.50 0.165630\n0.75 0.668300\nName: 7831, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.511564085019434, std values: 4.994717300909188, min values: 8.8279e-07, max values: 40.345, median values: 0.20092, and quantile values: 0.25 0.062908\n0.50 0.200920\n0.75 0.900320\nName: 7832, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.662928225325157, std values: 5.027055157227228, min values: 5.0725e-06, max values: 39.918, median values: 0.27656, and quantile values: 0.25 0.081548\n0.50 0.276560\n0.75 1.067300\nName: 7833, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4608773355836477, std values: 4.996232946568836, min values: 1.3595e-06, max values: 40.955, median values: 0.21692, and quantile values: 0.25 0.065175\n0.50 0.216920\n0.75 0.907975\nName: 7834, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4964784447227293, std values: 4.815847541655175, min values: 1.2484e-08, max values: 39.083, median values: 0.17039, and quantile values: 0.25 0.041687\n0.50 0.170390\n0.75 0.897685\nName: 7835, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.57057145958239, std values: 4.95905759076401, min values: 3.573e-06, max values: 40.601, median values: 0.24202, and quantile values: 0.25 0.067433\n0.50 0.242020\n0.75 0.967120\nName: 7836, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5682199877635223, std values: 5.0943807218980774, min values: 2.0142e-06, max values: 41.488, median values: 0.24066, and quantile values: 0.25 0.069323\n0.50 0.240660\n0.75 0.970935\nName: 7837, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.543242172974717, std values: 4.826194256247202, min values: 9.6738e-07, max values: 38.11, median values: 0.24351, and quantile values: 0.25 0.074843\n0.50 0.243510\n0.75 0.928850\nName: 7838, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7005057980245282, std values: 5.142557807393196, min values: 1.3158e-06, max values: 41.691, median values: 0.28077, and quantile values: 0.25 0.079352\n0.50 0.280770\n0.75 1.212550\nName: 7839, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6827617692911947, std values: 4.8931266982633135, min values: 1.5174e-06, max values: 38.821, median values: 0.26595, and quantile values: 0.25 0.07428\n0.50 0.26595\n0.75 1.17395\nName: 7840, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.588368682973585, std values: 5.131911489572368, min values: 4.4288e-06, max values: 40.964, median values: 0.2469, and quantile values: 0.25 0.071688\n0.50 0.246900\n0.75 0.958295\nName: 7841, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5212080863787234, std values: 4.763221235501142, min values: 1.6874e-08, max values: 38.149, median values: 0.17934, and quantile values: 0.25 0.042068\n0.50 0.179340\n0.75 0.933345\nName: 7842, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.300583132500497, std values: 4.907904536160561, min values: 2.1759e-08, max values: 42.6, median values: 0.13435, and quantile values: 0.25 0.03028\n0.50 0.13435\n0.75 0.62327\nName: 7843, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9170047888113206, std values: 5.450309121555045, min values: 2.7369e-06, max values: 45.308, median values: 0.36413, and quantile values: 0.25 0.099938\n0.50 0.364130\n0.75 1.370050\nName: 7844, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.516050301844654, std values: 5.056881258525891, min values: 3.1648e-06, max values: 40.803, median values: 0.2379, and quantile values: 0.25 0.059185\n0.50 0.237900\n0.75 0.965665\nName: 7845, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.441631530945283, std values: 5.059101294367816, min values: 1.3791e-06, max values: 42.376, median values: 0.18607, and quantile values: 0.25 0.054959\n0.50 0.186070\n0.75 0.852295\nName: 7846, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5525089938830188, std values: 5.032089310253179, min values: 1.1246e-06, max values: 41.492, median values: 0.2368, and quantile values: 0.25 0.070212\n0.50 0.236800\n0.75 1.009405\nName: 7847, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6244533878371066, std values: 5.285219914733898, min values: 2.0156e-06, max values: 45.181, median values: 0.26421, and quantile values: 0.25 0.062918\n0.50 0.264210\n0.75 1.027895\nName: 7848, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4726182544786164, std values: 4.880513362178645, min values: 1.9125e-06, max values: 39.41, median values: 0.25047, and quantile values: 0.25 0.062190\n0.50 0.250470\n0.75 0.928595\nName: 7849, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6207651354226416, std values: 5.149950973849739, min values: 1.9084e-06, max values: 42.795, median values: 0.23268, and quantile values: 0.25 0.069551\n0.50 0.232680\n0.75 0.886525\nName: 7850, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4705321811798742, std values: 4.949523329056321, min values: 8.732e-07, max values: 40.606, median values: 0.20407, and quantile values: 0.25 0.061995\n0.50 0.204070\n0.75 0.917035\nName: 7851, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3439208731320127, std values: 4.575695099874556, min values: 1.6818e-07, max values: 35.995, median values: 0.16621, and quantile values: 0.25 0.040593\n0.50 0.166210\n0.75 0.746085\nName: 7852, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6160577771355034, std values: 5.271147686560151, min values: 2.7445e-08, max values: 46.807, median values: 0.2243, and quantile values: 0.25 0.060074\n0.50 0.224300\n0.75 1.031865\nName: 7853, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4299612271566038, std values: 4.651011938864755, min values: 1.3808e-06, max values: 38.276, median values: 0.22079, and quantile values: 0.25 0.068188\n0.50 0.220790\n0.75 0.878130\nName: 7854, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7073447059289308, std values: 5.369948749320706, min values: 4.6809e-06, max values: 42.923, median values: 0.27538, and quantile values: 0.25 0.074978\n0.50 0.275380\n0.75 0.990335\nName: 7855, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5816948271031446, std values: 5.007944971366549, min values: 5.0184e-06, max values: 40.497, median values: 0.26005, and quantile values: 0.25 0.075653\n0.50 0.260050\n0.75 0.957090\nName: 7856, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5890600270339623, std values: 4.977868856778116, min values: 1.9906e-06, max values: 39.855, median values: 0.26892, and quantile values: 0.25 0.082714\n0.50 0.268920\n0.75 1.024500\nName: 7857, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2447743981416353, std values: 4.606974497067192, min values: 7.9142e-07, max values: 37.719, median values: 0.1714, and quantile values: 0.25 0.05205\n0.50 0.17140\n0.75 0.67915\nName: 7858, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2078032767577358, std values: 4.699131496565448, min values: 4.5528e-07, max values: 38.377, median values: 0.15497, and quantile values: 0.25 0.039069\n0.50 0.154970\n0.75 0.616535\nName: 7859, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6624578239018866, std values: 5.312607262538724, min values: 1.9251e-06, max values: 45.197, median values: 0.25229, and quantile values: 0.25 0.067394\n0.50 0.252290\n0.75 1.045650\nName: 7860, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4441938133956855, std values: 4.898605093212359, min values: 1.8464e-08, max values: 41.055, median values: 0.18884, and quantile values: 0.25 0.050946\n0.50 0.188840\n0.75 0.915880\nName: 7861, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6068457167748427, std values: 4.862714183528275, min values: 2.4843e-06, max values: 38.995, median values: 0.29223, and quantile values: 0.25 0.076785\n0.50 0.292230\n0.75 1.111400\nName: 7862, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5253039589683648, std values: 5.011373739173894, min values: 9.6497e-07, max values: 41.507, median values: 0.23567, and quantile values: 0.25 0.062527\n0.50 0.235670\n0.75 0.941170\nName: 7863, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3709234536314465, std values: 4.8989915251642815, min values: 2.1437e-06, max values: 39.818, median values: 0.19161, and quantile values: 0.25 0.060533\n0.50 0.191610\n0.75 0.739650\nName: 7864, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6118946519163524, std values: 5.040533033794307, min values: 2.1043e-06, max values: 40.074, median values: 0.25558, and quantile values: 0.25 0.070434\n0.50 0.255580\n0.75 1.101500\nName: 7865, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4780861667490566, std values: 4.807640746032266, min values: 1.2501e-06, max values: 38.53, median values: 0.24548, and quantile values: 0.25 0.069304\n0.50 0.245480\n0.75 0.944630\nName: 7866, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4404018305328112, std values: 4.870100330628377, min values: 5.7657e-08, max values: 38.645, median values: 0.1948, and quantile values: 0.25 0.039976\n0.50 0.194800\n0.75 0.816990\nName: 7867, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3156965136792453, std values: 4.811736436874521, min values: 2.857e-08, max values: 39.839, median values: 0.15547, and quantile values: 0.25 0.047448\n0.50 0.155470\n0.75 0.722860\nName: 7868, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5556396207125787, std values: 5.262180323577793, min values: 2.9868e-06, max values: 44.723, median values: 0.22917, and quantile values: 0.25 0.076062\n0.50 0.229170\n0.75 0.958345\nName: 7869, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4499456439933838, std values: 4.687341540933447, min values: 3.4038e-08, max values: 36.811, median values: 0.2176, and quantile values: 0.25 0.052803\n0.50 0.217600\n0.75 0.938035\nName: 7870, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.174081981428302, std values: 4.4874975069081176, min values: 1.5204e-06, max values: 39.207, median values: 0.15247, and quantile values: 0.25 0.043660\n0.50 0.152470\n0.75 0.587355\nName: 7871, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5331786587477987, std values: 5.133137522663611, min values: 8.032e-07, max values: 43.7, median values: 0.21414, and quantile values: 0.25 0.063980\n0.50 0.214140\n0.75 0.910185\nName: 7872, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.390751441066346, std values: 4.685252180350312, min values: 8.6559e-08, max values: 36.965, median values: 0.18867, and quantile values: 0.25 0.044973\n0.50 0.188670\n0.75 0.750375\nName: 7873, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3278235169691823, std values: 4.698102972712609, min values: 2.2643e-06, max values: 39.489, median values: 0.16573, and quantile values: 0.25 0.054122\n0.50 0.165730\n0.75 0.779410\nName: 7874, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3408265454647799, std values: 4.552748240792268, min values: 2.1248e-06, max values: 39.17, median values: 0.22419, and quantile values: 0.25 0.063753\n0.50 0.224190\n0.75 0.781140\nName: 7875, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5150856475952832, std values: 5.025007749523505, min values: 3.7745e-07, max values: 42.04, median values: 0.22915, and quantile values: 0.25 0.060893\n0.50 0.229150\n0.75 0.928860\nName: 7876, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4922583841085535, std values: 4.8836385419635295, min values: 2.2158e-07, max values: 40.007, median values: 0.19601, and quantile values: 0.25 0.049027\n0.50 0.196010\n0.75 0.876275\nName: 7877, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5613722851232075, std values: 5.029288245810461, min values: 8.9919e-07, max values: 41.596, median values: 0.22632, and quantile values: 0.25 0.064222\n0.50 0.226320\n0.75 0.966035\nName: 7878, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8893305887471699, std values: 5.1971092233433325, min values: 4.3212e-06, max values: 39.657, median values: 0.33749, and quantile values: 0.25 0.09881\n0.50 0.33749\n0.75 1.32725\nName: 7879, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.908322117144654, std values: 5.394759256798453, min values: 6.886e-06, max values: 41.596, median values: 0.346, and quantile values: 0.25 0.090342\n0.50 0.346000\n0.75 1.227450\nName: 7880, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3504257368704404, std values: 4.716844700322015, min values: 1.7189e-06, max values: 39.279, median values: 0.18226, and quantile values: 0.25 0.058204\n0.50 0.182260\n0.75 0.757805\nName: 7881, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4010587719383647, std values: 4.754530937317989, min values: 7.079e-07, max values: 39.09, median values: 0.18398, and quantile values: 0.25 0.060932\n0.50 0.183980\n0.75 0.858940\nName: 7882, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3777795451335848, std values: 4.816514336296197, min values: 5.3264e-07, max values: 38.84, median values: 0.20494, and quantile values: 0.25 0.055918\n0.50 0.204940\n0.75 0.766885\nName: 7883, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5031122352138366, std values: 4.931309135346616, min values: 2.0868e-06, max values: 39.95, median values: 0.25666, and quantile values: 0.25 0.06881\n0.50 0.25666\n0.75 0.95648\nName: 7884, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4137042076871698, std values: 4.771013351187949, min values: 8.7496e-07, max values: 37.799, median values: 0.20095, and quantile values: 0.25 0.054507\n0.50 0.200950\n0.75 0.798350\nName: 7885, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.364242746372956, std values: 4.97427225572759, min values: 2.581e-07, max values: 42.546, median values: 0.17055, and quantile values: 0.25 0.049377\n0.50 0.170550\n0.75 0.755425\nName: 7886, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5762576144584906, std values: 5.012450848252899, min values: 2.8809e-06, max values: 39.534, median values: 0.27708, and quantile values: 0.25 0.07097\n0.50 0.27708\n0.75 1.01550\nName: 7887, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3912040677647173, std values: 4.915705430505721, min values: 5.2059e-07, max values: 39.934, median values: 0.16239, and quantile values: 0.25 0.050599\n0.50 0.162390\n0.75 0.734940\nName: 7888, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5132562056708803, std values: 5.038546016569615, min values: 2.5223e-07, max values: 43.14, median values: 0.23114, and quantile values: 0.25 0.049918\n0.50 0.231140\n0.75 0.889935\nName: 7889, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5976137390238994, std values: 5.0444473507427094, min values: 1.7648e-06, max values: 40.559, median values: 0.24883, and quantile values: 0.25 0.06936\n0.50 0.24883\n0.75 1.00881\nName: 7890, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5296966869513837, std values: 5.010700048943119, min values: 9.9947e-07, max values: 41.435, median values: 0.25213, and quantile values: 0.25 0.060866\n0.50 0.252130\n0.75 0.965110\nName: 7891, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.810110195479874, std values: 5.370537648561391, min values: 4.438e-06, max values: 42.803, median values: 0.33242, and quantile values: 0.25 0.08311\n0.50 0.33242\n0.75 1.22410\nName: 7892, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6409732928737109, std values: 5.0169135304831824, min values: 9.1822e-07, max values: 39.895, median values: 0.27109, and quantile values: 0.25 0.074208\n0.50 0.271090\n0.75 1.098050\nName: 7893, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4538754175786164, std values: 5.03432949964743, min values: 2.5102e-06, max values: 41.151, median values: 0.20698, and quantile values: 0.25 0.065017\n0.50 0.206980\n0.75 0.817810\nName: 7894, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.517346641453459, std values: 4.894517170170596, min values: 1.1589e-06, max values: 39.352, median values: 0.2037, and quantile values: 0.25 0.061948\n0.50 0.203700\n0.75 0.827770\nName: 7895, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.608669512904321, std values: 5.062709860971107, min values: 2.9517e-08, max values: 42.819, median values: 0.25744, and quantile values: 0.25 0.057416\n0.50 0.257440\n0.75 1.091700\nName: 7896, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4345867198927675, std values: 4.737808457813887, min values: 4.2301e-07, max values: 37.704, median values: 0.19988, and quantile values: 0.25 0.050192\n0.50 0.199880\n0.75 0.813040\nName: 7897, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5435262693973082, std values: 4.809046254088997, min values: 2.9452e-08, max values: 38.55, median values: 0.23183, and quantile values: 0.25 0.055696\n0.50 0.231830\n0.75 1.016005\nName: 7898, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5353203393433963, std values: 4.975851949099514, min values: 9.249e-07, max values: 40.492, median values: 0.25027, and quantile values: 0.25 0.066851\n0.50 0.250270\n0.75 0.909905\nName: 7899, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7184372223729558, std values: 5.221648140496687, min values: 2.4816e-06, max values: 42.324, median values: 0.27944, and quantile values: 0.25 0.076423\n0.50 0.279440\n0.75 1.186450\nName: 7900, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4185947670779246, std values: 4.868956709895298, min values: 4.1673e-07, max values: 40.857, median values: 0.17577, and quantile values: 0.25 0.053248\n0.50 0.175770\n0.75 0.754460\nName: 7901, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8033185432352203, std values: 5.117833216617675, min values: 4.896e-07, max values: 40.618, median values: 0.31132, and quantile values: 0.25 0.076984\n0.50 0.311320\n0.75 1.335450\nName: 7902, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5545103697327043, std values: 4.982052636788739, min values: 2.1472e-06, max values: 39.8, median values: 0.26464, and quantile values: 0.25 0.066349\n0.50 0.264640\n0.75 0.987790\nName: 7903, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3808718169371068, std values: 4.945918734893354, min values: 2.6395e-06, max values: 40.806, median values: 0.19968, and quantile values: 0.25 0.057855\n0.50 0.199680\n0.75 0.796610\nName: 7904, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.408466429775346, std values: 4.666488793342059, min values: 1.186e-07, max values: 36.894, median values: 0.19337, and quantile values: 0.25 0.044093\n0.50 0.193370\n0.75 0.829670\nName: 7905, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3524436845159749, std values: 4.799390749499886, min values: 6.1764e-07, max values: 38.544, median values: 0.18149, and quantile values: 0.25 0.050210\n0.50 0.181490\n0.75 0.708525\nName: 7906, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5647075422597483, std values: 5.069541639263955, min values: 2.4894e-06, max values: 40.268, median values: 0.24357, and quantile values: 0.25 0.062557\n0.50 0.243570\n0.75 0.952805\nName: 7907, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7840286987100629, std values: 5.247715355287455, min values: 3.4825e-06, max values: 42.212, median values: 0.35579, and quantile values: 0.25 0.094781\n0.50 0.355790\n0.75 1.195550\nName: 7908, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6064725328050313, std values: 4.990906561217061, min values: 1.0914e-06, max values: 39.885, median values: 0.24545, and quantile values: 0.25 0.068002\n0.50 0.245450\n0.75 1.099550\nName: 7909, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5471915028220125, std values: 5.166039412836515, min values: 2.821e-06, max values: 41.936, median values: 0.21765, and quantile values: 0.25 0.071339\n0.50 0.217650\n0.75 0.921015\nName: 7910, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6069536262402517, std values: 5.134706717039301, min values: 1.2024e-06, max values: 42.752, median values: 0.25104, and quantile values: 0.25 0.074210\n0.50 0.251040\n0.75 0.980805\nName: 7911, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3994265465721258, std values: 4.626209786223594, min values: 3.2368e-08, max values: 37.53, median values: 0.19543, and quantile values: 0.25 0.049087\n0.50 0.195430\n0.75 0.853470\nName: 7912, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6610901000647802, std values: 5.047059511225875, min values: 2.6705e-06, max values: 39.692, median values: 0.29926, and quantile values: 0.25 0.087459\n0.50 0.299260\n0.75 1.125900\nName: 7913, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5413063492603774, std values: 5.172585984200853, min values: 1.6599e-06, max values: 44.422, median values: 0.23104, and quantile values: 0.25 0.068279\n0.50 0.231040\n0.75 0.908030\nName: 7914, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.428876396496226, std values: 5.184624851674487, min values: 1.1665e-06, max values: 44.426, median values: 0.18399, and quantile values: 0.25 0.057231\n0.50 0.183990\n0.75 0.802840\nName: 7915, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4962652581425786, std values: 4.995512662137596, min values: 8.3747e-07, max values: 41.909, median values: 0.18119, and quantile values: 0.25 0.050238\n0.50 0.181190\n0.75 0.828835\nName: 7916, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3705258867496857, std values: 4.827653750836319, min values: 1.0008e-06, max values: 39.586, median values: 0.19564, and quantile values: 0.25 0.063100\n0.50 0.195640\n0.75 0.736895\nName: 7917, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3007329201196858, std values: 4.76195075418235, min values: 5.4323e-07, max values: 38.527, median values: 0.15457, and quantile values: 0.25 0.045191\n0.50 0.154570\n0.75 0.701990\nName: 7918, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.0577773025967294, std values: 4.327115393505053, min values: 1.763e-08, max values: 37.029, median values: 0.096889, and quantile values: 0.25 0.028657\n0.50 0.096889\n0.75 0.482960\nName: 7919, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3707349666968554, std values: 4.634123127903222, min values: 3.691e-06, max values: 40.155, median values: 0.21464, and quantile values: 0.25 0.062636\n0.50 0.214640\n0.75 0.759205\nName: 7920, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5373414071690565, std values: 4.923489823434259, min values: 4.6048e-07, max values: 40.462, median values: 0.23634, and quantile values: 0.25 0.063314\n0.50 0.236340\n0.75 0.966295\nName: 7921, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4474351288855347, std values: 4.97960617867361, min values: 1.3988e-06, max values: 41.689, median values: 0.20583, and quantile values: 0.25 0.066884\n0.50 0.205830\n0.75 0.852715\nName: 7922, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.553506476818239, std values: 5.1085364677379905, min values: 5.7161e-06, max values: 41.415, median values: 0.25701, and quantile values: 0.25 0.064433\n0.50 0.257010\n0.75 0.828355\nName: 7923, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5809242472761007, std values: 4.886574735660042, min values: 1.6215e-06, max values: 38.615, median values: 0.24727, and quantile values: 0.25 0.073045\n0.50 0.247270\n0.75 1.010640\nName: 7924, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4611825662490565, std values: 4.821915731212335, min values: 1.3113e-06, max values: 38.25, median values: 0.23371, and quantile values: 0.25 0.062731\n0.50 0.233710\n0.75 0.862425\nName: 7925, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5071677233977925, std values: 4.910075621118431, min values: 3.1879e-08, max values: 40.861, median values: 0.21456, and quantile values: 0.25 0.049360\n0.50 0.214560\n0.75 0.935315\nName: 7926, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5204692986466668, std values: 4.893759775482762, min values: 3.2952e-07, max values: 39.56, median values: 0.22923, and quantile values: 0.25 0.061789\n0.50 0.229230\n0.75 0.984680\nName: 7927, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6384033742012578, std values: 5.133811409539526, min values: 1.8571e-06, max values: 43.123, median values: 0.26933, and quantile values: 0.25 0.072763\n0.50 0.269330\n0.75 1.102550\nName: 7928, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.431194327945849, std values: 4.699423659340737, min values: 2.0675e-07, max values: 37.277, median values: 0.20329, and quantile values: 0.25 0.046719\n0.50 0.203290\n0.75 0.876730\nName: 7929, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2985591660546543, std values: 4.8409900835870845, min values: 9.6029e-07, max values: 39.033, median values: 0.15875, and quantile values: 0.25 0.050442\n0.50 0.158750\n0.75 0.726955\nName: 7930, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9608520905842766, std values: 5.536547055097412, min values: 7.7479e-06, max values: 44.294, median values: 0.357, and quantile values: 0.25 0.11782\n0.50 0.35700\n0.75 1.26195\nName: 7931, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1978880130150313, std values: 4.381785067403782, min values: 1.2937e-07, max values: 37.154, median values: 0.14818, and quantile values: 0.25 0.042918\n0.50 0.148180\n0.75 0.593950\nName: 7932, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5435712126955976, std values: 4.923573541193365, min values: 2.4233e-06, max values: 38.779, median values: 0.25842, and quantile values: 0.25 0.071186\n0.50 0.258420\n0.75 0.968925\nName: 7933, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6506514148440252, std values: 5.247964369770343, min values: 1.9443e-06, max values: 44.322, median values: 0.26584, and quantile values: 0.25 0.077770\n0.50 0.265840\n0.75 0.988405\nName: 7934, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4156703048987422, std values: 4.982205399440491, min values: 2.4055e-06, max values: 39.995, median values: 0.21171, and quantile values: 0.25 0.055605\n0.50 0.211710\n0.75 0.792415\nName: 7935, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9306363278874215, std values: 5.295836292597342, min values: 4.1691e-06, max values: 40.198, median values: 0.37743, and quantile values: 0.25 0.09903\n0.50 0.37743\n0.75 1.33135\nName: 7936, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8220710710383647, std values: 5.159602008408879, min values: 2.2631e-06, max values: 40.28, median values: 0.33768, and quantile values: 0.25 0.090788\n0.50 0.337680\n0.75 1.317200\nName: 7937, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5104411278238992, std values: 5.235793164201613, min values: 1.6059e-06, max values: 44.628, median values: 0.20027, and quantile values: 0.25 0.060508\n0.50 0.200270\n0.75 0.925040\nName: 7938, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3712991950754718, std values: 4.75709413939208, min values: 1.8342e-06, max values: 38.588, median values: 0.19219, and quantile values: 0.25 0.067557\n0.50 0.192190\n0.75 0.790495\nName: 7939, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4180733448507234, std values: 4.831442214843725, min values: 2.4565e-08, max values: 39.187, median values: 0.18427, and quantile values: 0.25 0.054659\n0.50 0.184270\n0.75 0.803295\nName: 7940, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4184199028477988, std values: 4.715101597658408, min values: 1.4126e-06, max values: 38.503, median values: 0.23316, and quantile values: 0.25 0.066106\n0.50 0.233160\n0.75 0.812475\nName: 7941, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.566902052891824, std values: 5.009246031533732, min values: 1.6456e-06, max values: 41.131, median values: 0.22888, and quantile values: 0.25 0.067335\n0.50 0.228880\n0.75 0.873245\nName: 7942, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.473392241276541, std values: 5.014364204892545, min values: 5.157e-08, max values: 42.802, median values: 0.22372, and quantile values: 0.25 0.054568\n0.50 0.223720\n0.75 0.847285\nName: 7943, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6074031533496853, std values: 5.009837739788185, min values: 1.1893e-06, max values: 40.171, median values: 0.26298, and quantile values: 0.25 0.079796\n0.50 0.262980\n0.75 1.077850\nName: 7944, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5986356967879245, std values: 5.075633955981462, min values: 3.4318e-07, max values: 41.96, median values: 0.28072, and quantile values: 0.25 0.061875\n0.50 0.280720\n0.75 1.072800\nName: 7945, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5926312778337108, std values: 4.979357980407629, min values: 7.3066e-07, max values: 41.163, median values: 0.26947, and quantile values: 0.25 0.071167\n0.50 0.269470\n0.75 0.985320\nName: 7946, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.664903856996855, std values: 5.140402876768995, min values: 2.517e-06, max values: 40.781, median values: 0.28928, and quantile values: 0.25 0.069766\n0.50 0.289280\n0.75 1.142620\nName: 7947, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6345177285817611, std values: 4.815967053919234, min values: 2.4999e-06, max values: 38.361, median values: 0.27262, and quantile values: 0.25 0.079512\n0.50 0.272620\n0.75 1.068995\nName: 7948, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4822630385244027, std values: 5.135459516826683, min values: 3.0215e-07, max values: 45.488, median values: 0.20923, and quantile values: 0.25 0.053627\n0.50 0.209230\n0.75 0.878825\nName: 7949, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4541205507591195, std values: 4.8545579210990315, min values: 4.0022e-06, max values: 40.193, median values: 0.23851, and quantile values: 0.25 0.063582\n0.50 0.238510\n0.75 0.863640\nName: 7950, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6945231365477988, std values: 5.305637370699698, min values: 1.7164e-06, max values: 45.579, median values: 0.26443, and quantile values: 0.25 0.071649\n0.50 0.264430\n0.75 1.182850\nName: 7951, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5200274783661447, std values: 5.02916612890715, min values: 2.1807e-08, max values: 43.743, median values: 0.23412, and quantile values: 0.25 0.046151\n0.50 0.234120\n0.75 0.914210\nName: 7952, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5556614154119497, std values: 4.972510135723288, min values: 3.3918e-06, max values: 39.666, median values: 0.2585, and quantile values: 0.25 0.074070\n0.50 0.258500\n0.75 0.997285\nName: 7953, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4873733099484279, std values: 4.928599241801578, min values: 2.6166e-06, max values: 39.706, median values: 0.21409, and quantile values: 0.25 0.067001\n0.50 0.214090\n0.75 0.873940\nName: 7954, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.464954539108239, std values: 4.9231671386113165, min values: 8.7351e-07, max values: 40.287, median values: 0.21306, and quantile values: 0.25 0.056384\n0.50 0.213060\n0.75 0.882050\nName: 7955, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5388165616822642, std values: 4.839650435574547, min values: 9.7088e-07, max values: 38.258, median values: 0.29532, and quantile values: 0.25 0.07291\n0.50 0.29532\n0.75 1.00421\nName: 7956, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.532559699372327, std values: 5.062186962961953, min values: 3.1295e-06, max values: 41.003, median values: 0.24916, and quantile values: 0.25 0.070583\n0.50 0.249160\n0.75 0.943755\nName: 7957, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4220600606705034, std values: 5.006224171929194, min values: 7.0791e-07, max values: 42.7, median values: 0.19365, and quantile values: 0.25 0.055653\n0.50 0.193650\n0.75 0.813210\nName: 7958, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4895089580639627, std values: 4.964753630503967, min values: 6.4937e-07, max values: 41.013, median values: 0.22499, and quantile values: 0.25 0.058613\n0.50 0.224990\n0.75 0.996215\nName: 7959, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3068254892786162, std values: 4.945212735481807, min values: 1.6864e-06, max values: 40.272, median values: 0.17397, and quantile values: 0.25 0.044671\n0.50 0.173970\n0.75 0.699035\nName: 7960, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.631940493427044, std values: 4.865520036121246, min values: 1.6021e-06, max values: 38.605, median values: 0.28326, and quantile values: 0.25 0.086153\n0.50 0.283260\n0.75 1.111100\nName: 7961, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6081877619314464, std values: 5.065983939567245, min values: 4.7223e-06, max values: 40.738, median values: 0.2692, and quantile values: 0.25 0.083985\n0.50 0.269200\n0.75 0.930930\nName: 7962, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.337156150962893, std values: 4.808915410446273, min values: 1.5938e-06, max values: 38.97, median values: 0.21861, and quantile values: 0.25 0.060002\n0.50 0.218610\n0.75 0.738775\nName: 7963, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4912520231035913, std values: 4.86333588067168, min values: 2.7421e-08, max values: 40.288, median values: 0.22086, and quantile values: 0.25 0.047163\n0.50 0.220860\n0.75 0.878240\nName: 7964, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3929492394638994, std values: 4.743669017310505, min values: 2.819e-08, max values: 38.494, median values: 0.19645, and quantile values: 0.25 0.048025\n0.50 0.196450\n0.75 0.789800\nName: 7965, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4507026350238994, std values: 5.1494174642048325, min values: 3.4653e-06, max values: 42.27, median values: 0.20421, and quantile values: 0.25 0.062208\n0.50 0.204210\n0.75 0.774970\nName: 7966, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4796263036874213, std values: 4.788199415133943, min values: 1.317e-06, max values: 39.348, median values: 0.22468, and quantile values: 0.25 0.065187\n0.50 0.224680\n0.75 0.930250\nName: 7967, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.458644505027044, std values: 5.022316623435773, min values: 3.6698e-06, max values: 40.835, median values: 0.20443, and quantile values: 0.25 0.053037\n0.50 0.204430\n0.75 0.753220\nName: 7968, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4596178515490565, std values: 5.110333662254483, min values: 2.3587e-06, max values: 42.349, median values: 0.19544, and quantile values: 0.25 0.065563\n0.50 0.195440\n0.75 0.813410\nName: 7969, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.225950735058176, std values: 4.54357935781121, min values: 7.9155e-07, max values: 37.512, median values: 0.1435, and quantile values: 0.25 0.042825\n0.50 0.143500\n0.75 0.632295\nName: 7970, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.528775927490566, std values: 5.026637960406521, min values: 3.8044e-06, max values: 40.634, median values: 0.23206, and quantile values: 0.25 0.071034\n0.50 0.232060\n0.75 0.957610\nName: 7971, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4841696571633336, std values: 4.867188774930663, min values: 4.0927e-07, max values: 38.888, median values: 0.21413, and quantile values: 0.25 0.062493\n0.50 0.214130\n0.75 0.882525\nName: 7972, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.596698781955346, std values: 4.897958455775613, min values: 2.2653e-06, max values: 38.692, median values: 0.27455, and quantile values: 0.25 0.073562\n0.50 0.274550\n0.75 1.084250\nName: 7973, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5155285702389936, std values: 4.996993598597564, min values: 1.8627e-06, max values: 40.318, median values: 0.24524, and quantile values: 0.25 0.066308\n0.50 0.245240\n0.75 0.910560\nName: 7974, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5041204868374025, std values: 4.894505340299122, min values: 5.3387e-08, max values: 40.237, median values: 0.20045, and quantile values: 0.25 0.046516\n0.50 0.200450\n0.75 0.974440\nName: 7975, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.609085339301887, std values: 4.912983848812223, min values: 1.8987e-06, max values: 38.838, median values: 0.25921, and quantile values: 0.25 0.075275\n0.50 0.259210\n0.75 1.075750\nName: 7976, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1971151678452832, std values: 4.526846667788615, min values: 1.4544e-06, max values: 39.057, median values: 0.15153, and quantile values: 0.25 0.050832\n0.50 0.151530\n0.75 0.638825\nName: 7977, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4613479009650314, std values: 4.9158417646244095, min values: 6.7354e-07, max values: 39.977, median values: 0.21671, and quantile values: 0.25 0.062877\n0.50 0.216710\n0.75 0.882080\nName: 7978, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3871679245664152, std values: 4.825817430545325, min values: 4.3606e-07, max values: 39.763, median values: 0.20236, and quantile values: 0.25 0.054339\n0.50 0.202360\n0.75 0.766175\nName: 7979, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4879039120160755, std values: 5.123122939697717, min values: 2.4926e-08, max values: 44.926, median values: 0.18607, and quantile values: 0.25 0.053410\n0.50 0.186070\n0.75 0.879185\nName: 7980, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4447738491311322, std values: 4.7677804961866705, min values: 4.8855e-07, max values: 37.644, median values: 0.23053, and quantile values: 0.25 0.065666\n0.50 0.230530\n0.75 0.898015\nName: 7981, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4438303685125784, std values: 4.928092925633128, min values: 2.0378e-06, max values: 40.326, median values: 0.19249, and quantile values: 0.25 0.059783\n0.50 0.192490\n0.75 0.838480\nName: 7982, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.459900859372327, std values: 5.12669425024024, min values: 1.0538e-06, max values: 44.692, median values: 0.21018, and quantile values: 0.25 0.064721\n0.50 0.210180\n0.75 0.840660\nName: 7983, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6171083704694338, std values: 4.960150057089677, min values: 3.1694e-07, max values: 40.316, median values: 0.26228, and quantile values: 0.25 0.060304\n0.50 0.262280\n0.75 1.034790\nName: 7984, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9365059827654092, std values: 5.597354620286929, min values: 4.2665e-06, max values: 46.734, median values: 0.33255, and quantile values: 0.25 0.089028\n0.50 0.332550\n0.75 1.360050\nName: 7985, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.489537109271824, std values: 4.794888713634536, min values: 6.0312e-07, max values: 37.831, median values: 0.25789, and quantile values: 0.25 0.06557\n0.50 0.25789\n0.75 0.91290\nName: 7986, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4084794115994341, std values: 5.032151995267484, min values: 7.6611e-07, max values: 43.482, median values: 0.19226, and quantile values: 0.25 0.058042\n0.50 0.192260\n0.75 0.730710\nName: 7987, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6037032209485533, std values: 4.942012575549653, min values: 9.6402e-07, max values: 39.367, median values: 0.26925, and quantile values: 0.25 0.075978\n0.50 0.269250\n0.75 1.041600\nName: 7988, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6242142983881571, std values: 5.019886292014063, min values: 2.7557e-08, max values: 41.539, median values: 0.2139, and quantile values: 0.25 0.055986\n0.50 0.213900\n0.75 1.057200\nName: 7989, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4711896392431636, std values: 4.798322714458069, min values: 3.3763e-08, max values: 38.119, median values: 0.19756, and quantile values: 0.25 0.051971\n0.50 0.197560\n0.75 0.911035\nName: 7990, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4908823814792451, std values: 4.965787774261635, min values: 3.773e-06, max values: 40.511, median values: 0.22679, and quantile values: 0.25 0.070321\n0.50 0.226790\n0.75 0.844750\nName: 7991, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.312516398403151, std values: 4.430301271535376, min values: 0.0, max values: 37.225, median values: 0.18567, and quantile values: 0.25 0.039956\n0.50 0.185670\n0.75 0.713105\nName: 7992, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5762852007955974, std values: 4.947446544307667, min values: 4.3292e-06, max values: 40.394, median values: 0.2694, and quantile values: 0.25 0.077779\n0.50 0.269400\n0.75 0.943695\nName: 7993, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2256985519928931, std values: 4.711175525899251, min values: 7.4037e-07, max values: 38.017, median values: 0.16392, and quantile values: 0.25 0.053860\n0.50 0.163920\n0.75 0.642315\nName: 7994, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.587262360518239, std values: 4.944448299618227, min values: 1.2054e-06, max values: 39.27, median values: 0.27014, and quantile values: 0.25 0.077535\n0.50 0.270140\n0.75 1.005665\nName: 7995, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4249015442396227, std values: 4.740234506128595, min values: 1.0851e-06, max values: 37.848, median values: 0.22585, and quantile values: 0.25 0.06801\n0.50 0.22585\n0.75 0.90467\nName: 7996, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6840623398918237, std values: 5.101154105667073, min values: 5.4861e-06, max values: 40.691, median values: 0.27742, and quantile values: 0.25 0.078947\n0.50 0.277420\n0.75 1.070200\nName: 7997, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9773479804314467, std values: 5.680177508759492, min values: 9.9026e-06, max values: 42.805, median values: 0.35598, and quantile values: 0.25 0.090555\n0.50 0.355980\n0.75 1.336650\nName: 7998, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5871231319930188, std values: 5.269869272115546, min values: 7.0229e-07, max values: 46.596, median values: 0.21508, and quantile values: 0.25 0.062066\n0.50 0.215080\n0.75 0.893770\nName: 7999, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3666911418345913, std values: 4.785653418519737, min values: 1.8745e-06, max values: 39.139, median values: 0.22857, and quantile values: 0.25 0.06403\n0.50 0.22857\n0.75 0.82458\nName: 8000, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2467841031332327, std values: 4.701913547574696, min values: 2.1044e-08, max values: 38.199, median values: 0.1485, and quantile values: 0.25 0.037615\n0.50 0.148500\n0.75 0.603850\nName: 8001, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6398956220930816, std values: 5.054770269226909, min values: 2.6137e-06, max values: 39.758, median values: 0.25397, and quantile values: 0.25 0.078727\n0.50 0.253970\n0.75 1.034550\nName: 8002, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4817268974226414, std values: 5.007793369958877, min values: 1.5171e-06, max values: 41.147, median values: 0.23016, and quantile values: 0.25 0.063033\n0.50 0.230160\n0.75 0.873100\nName: 8003, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4155336162627672, std values: 4.988052466225259, min values: 1.4848e-07, max values: 42.593, median values: 0.20563, and quantile values: 0.25 0.05591\n0.50 0.20563\n0.75 0.82791\nName: 8004, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5893802679534592, std values: 5.216181948606329, min values: 3.0573e-06, max values: 42.831, median values: 0.24699, and quantile values: 0.25 0.070814\n0.50 0.246990\n0.75 0.902250\nName: 8005, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4192420810358493, std values: 4.794454675066983, min values: 1.9655e-06, max values: 38.632, median values: 0.22337, and quantile values: 0.25 0.058172\n0.50 0.223370\n0.75 0.852885\nName: 8006, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7635215000930817, std values: 5.1004238450332515, min values: 3.0861e-06, max values: 39.643, median values: 0.30753, and quantile values: 0.25 0.095044\n0.50 0.307530\n0.75 1.124450\nName: 8007, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3374537715819497, std values: 4.9962401534042336, min values: 7.2473e-07, max values: 43.152, median values: 0.17666, and quantile values: 0.25 0.052852\n0.50 0.176660\n0.75 0.698720\nName: 8008, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4877840122802515, std values: 5.12847552630039, min values: 9.0176e-07, max values: 43.947, median values: 0.19848, and quantile values: 0.25 0.056999\n0.50 0.198480\n0.75 0.883725\nName: 8009, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4339086823279874, std values: 4.889744392608265, min values: 5.8915e-07, max values: 39.734, median values: 0.21163, and quantile values: 0.25 0.052975\n0.50 0.211630\n0.75 0.804940\nName: 8010, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4819776479731257, std values: 4.777025191718124, min values: 1.7027e-08, max values: 37.833, median values: 0.21171, and quantile values: 0.25 0.060480\n0.50 0.211710\n0.75 0.993275\nName: 8011, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5063191926503143, std values: 4.718792877256659, min values: 1.3022e-06, max values: 38.016, median values: 0.25264, and quantile values: 0.25 0.079042\n0.50 0.252640\n0.75 0.948605\nName: 8012, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6519439616245284, std values: 5.1262315089694726, min values: 3.9152e-06, max values: 40.567, median values: 0.28202, and quantile values: 0.25 0.083623\n0.50 0.282020\n0.75 0.983095\nName: 8013, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2871405817457862, std values: 4.959035108439974, min values: 6.6788e-07, max values: 42.205, median values: 0.15395, and quantile values: 0.25 0.046280\n0.50 0.153950\n0.75 0.636625\nName: 8014, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3847033571269813, std values: 4.743272942460917, min values: 8.1519e-07, max values: 38.066, median values: 0.18145, and quantile values: 0.25 0.05379\n0.50 0.18145\n0.75 0.83612\nName: 8015, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6321246331849057, std values: 5.051665039509881, min values: 4.2633e-06, max values: 40.339, median values: 0.26903, and quantile values: 0.25 0.078973\n0.50 0.269030\n0.75 1.046650\nName: 8016, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6667801090226417, std values: 5.100571873810304, min values: 2.2008e-06, max values: 40.585, median values: 0.29245, and quantile values: 0.25 0.077671\n0.50 0.292450\n0.75 1.135250\nName: 8017, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4740014542813147, std values: 4.94622936986842, min values: 1.1759e-08, max values: 41.425, median values: 0.21873, and quantile values: 0.25 0.041655\n0.50 0.218730\n0.75 0.868450\nName: 8018, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7527193365402516, std values: 5.125499478186955, min values: 1.2184e-06, max values: 40.71, median values: 0.30055, and quantile values: 0.25 0.084607\n0.50 0.300550\n0.75 1.241800\nName: 8019, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2843980832362578, std values: 4.8210361539800095, min values: 1.5565e-08, max values: 39.645, median values: 0.15227, and quantile values: 0.25 0.043255\n0.50 0.152270\n0.75 0.706630\nName: 8020, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.455847822416352, std values: 5.1858954293069495, min values: 2.2188e-06, max values: 44.573, median values: 0.23363, and quantile values: 0.25 0.06331\n0.50 0.23363\n0.75 0.85599\nName: 8021, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5115315924036479, std values: 4.9225903916416565, min values: 7.7248e-07, max values: 39.809, median values: 0.24323, and quantile values: 0.25 0.071544\n0.50 0.243230\n0.75 0.919425\nName: 8022, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5950708319710691, std values: 5.07762264763283, min values: 4.0188e-06, max values: 40.112, median values: 0.27973, and quantile values: 0.25 0.075747\n0.50 0.279730\n0.75 0.956810\nName: 8023, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6076878252018865, std values: 5.158171115947802, min values: 1.846e-06, max values: 42.672, median values: 0.25183, and quantile values: 0.25 0.069442\n0.50 0.251830\n0.75 1.075900\nName: 8024, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5961865960389938, std values: 4.938878578932094, min values: 1.1956e-06, max values: 38.773, median values: 0.26809, and quantile values: 0.25 0.068227\n0.50 0.268090\n0.75 1.030500\nName: 8025, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4431166170185157, std values: 4.553913937307419, min values: 2.1244e-08, max values: 36.416, median values: 0.18311, and quantile values: 0.25 0.045921\n0.50 0.183110\n0.75 0.836915\nName: 8026, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.470575067696101, std values: 4.868561431926608, min values: 3.2058e-07, max values: 39.678, median values: 0.2094, and quantile values: 0.25 0.056066\n0.50 0.209400\n0.75 0.922850\nName: 8027, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.436650106471698, std values: 4.9403822890341855, min values: 2.3512e-06, max values: 40.029, median values: 0.1966, and quantile values: 0.25 0.066016\n0.50 0.196600\n0.75 0.827435\nName: 8028, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3283031823215092, std values: 4.718689377974751, min values: 2.4262e-07, max values: 37.824, median values: 0.17658, and quantile values: 0.25 0.046547\n0.50 0.176580\n0.75 0.758170\nName: 8029, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.433738711199371, std values: 4.850627375224209, min values: 2.6028e-06, max values: 39.855, median values: 0.18991, and quantile values: 0.25 0.063228\n0.50 0.189910\n0.75 0.849425\nName: 8030, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4764333016213835, std values: 4.94945048922778, min values: 1.61e-06, max values: 39.587, median values: 0.21931, and quantile values: 0.25 0.067457\n0.50 0.219310\n0.75 0.869005\nName: 8031, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5684594769175473, std values: 4.7047197312138245, min values: 8.7429e-07, max values: 38.062, median values: 0.21181, and quantile values: 0.25 0.058319\n0.50 0.211810\n0.75 1.044150\nName: 8032, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5398058248924529, std values: 4.842245187585861, min values: 1.735e-07, max values: 38.806, median values: 0.26387, and quantile values: 0.25 0.057721\n0.50 0.263870\n0.75 1.017140\nName: 8033, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.50999634084717, std values: 5.082232876496255, min values: 3.6636e-06, max values: 40.827, median values: 0.21778, and quantile values: 0.25 0.068778\n0.50 0.217780\n0.75 0.913835\nName: 8034, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3044491571073586, std values: 4.859891508548291, min values: 4.5587e-07, max values: 39.881, median values: 0.16698, and quantile values: 0.25 0.045438\n0.50 0.166980\n0.75 0.677680\nName: 8035, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.463083655381761, std values: 4.983838912652079, min values: 1.1738e-06, max values: 40.684, median values: 0.20024, and quantile values: 0.25 0.059311\n0.50 0.200240\n0.75 0.966360\nName: 8036, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7203850971284276, std values: 5.167025778569321, min values: 8.4182e-07, max values: 41.991, median values: 0.2771, and quantile values: 0.25 0.067476\n0.50 0.277100\n0.75 1.216800\nName: 8037, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5209955590691822, std values: 4.950013313843078, min values: 1.317e-06, max values: 40.085, median values: 0.24041, and quantile values: 0.25 0.068419\n0.50 0.240410\n0.75 0.862690\nName: 8038, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4062418211823902, std values: 4.828898549523496, min values: 1.9092e-06, max values: 39.928, median values: 0.19564, and quantile values: 0.25 0.054904\n0.50 0.195640\n0.75 0.825685\nName: 8039, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4454637071270442, std values: 4.853650771670775, min values: 1.8687e-06, max values: 39.292, median values: 0.2533, and quantile values: 0.25 0.064109\n0.50 0.253300\n0.75 0.831890\nName: 8040, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.413470316775912, std values: 4.653977681605111, min values: 4.4977e-07, max values: 37.038, median values: 0.1871, and quantile values: 0.25 0.052864\n0.50 0.187100\n0.75 0.821310\nName: 8041, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.403457425024717, std values: 4.820482521803358, min values: 8.3023e-07, max values: 38.673, median values: 0.21484, and quantile values: 0.25 0.059876\n0.50 0.214840\n0.75 0.846360\nName: 8042, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3682139695238362, std values: 4.740128005149934, min values: 4.1659e-07, max values: 37.713, median values: 0.1802, and quantile values: 0.25 0.051449\n0.50 0.180200\n0.75 0.746155\nName: 8043, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2890103755342137, std values: 4.595411618656289, min values: 9.2304e-07, max values: 38.705, median values: 0.17442, and quantile values: 0.25 0.059983\n0.50 0.174420\n0.75 0.710495\nName: 8044, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.551126799081132, std values: 4.848628755969239, min values: 1.3775e-06, max values: 38.272, median values: 0.26293, and quantile values: 0.25 0.077230\n0.50 0.262930\n0.75 0.957205\nName: 8045, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.401953836145283, std values: 4.806699580930475, min values: 3.314e-06, max values: 40.159, median values: 0.22227, and quantile values: 0.25 0.065805\n0.50 0.222270\n0.75 0.782315\nName: 8046, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.530713594430063, std values: 4.8762634976527135, min values: 2.0438e-07, max values: 39.59, median values: 0.22189, and quantile values: 0.25 0.051743\n0.50 0.221890\n0.75 0.926475\nName: 8047, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.597160013399371, std values: 5.057591477439079, min values: 1.1006e-06, max values: 41.83, median values: 0.25619, and quantile values: 0.25 0.069769\n0.50 0.256190\n0.75 1.015310\nName: 8048, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.595549130969497, std values: 5.156648454209368, min values: 3.1865e-07, max values: 44.188, median values: 0.25033, and quantile values: 0.25 0.050284\n0.50 0.250330\n0.75 0.991100\nName: 8049, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3686495489883648, std values: 4.666798661542148, min values: 1.8315e-07, max values: 37.33, median values: 0.1779, and quantile values: 0.25 0.051444\n0.50 0.177900\n0.75 0.816710\nName: 8050, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3228697270054088, std values: 4.7638959184209115, min values: 1.5926e-07, max values: 38.408, median values: 0.16033, and quantile values: 0.25 0.046106\n0.50 0.160330\n0.75 0.739875\nName: 8051, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8248392180327044, std values: 5.23034573941936, min values: 2.2328e-06, max values: 41.818, median values: 0.32622, and quantile values: 0.25 0.08889\n0.50 0.32622\n0.75 1.30125\nName: 8052, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4492497053239621, std values: 4.9033695721523305, min values: 9.2991e-07, max values: 39.79, median values: 0.23536, and quantile values: 0.25 0.058937\n0.50 0.235360\n0.75 0.775805\nName: 8053, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6395333377003145, std values: 5.360171082993879, min values: 5.3335e-07, max values: 47.557, median values: 0.24431, and quantile values: 0.25 0.064811\n0.50 0.244310\n0.75 1.057550\nName: 8054, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.626192912531132, std values: 4.855043397173191, min values: 7.3305e-07, max values: 38.042, median values: 0.29, and quantile values: 0.25 0.072995\n0.50 0.290000\n0.75 1.132000\nName: 8055, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6480720267301885, std values: 4.987682841401982, min values: 3.3541e-06, max values: 39.715, median values: 0.26529, and quantile values: 0.25 0.074338\n0.50 0.265290\n0.75 1.059050\nName: 8056, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6952364684698114, std values: 5.258758886454034, min values: 3.4646e-06, max values: 43.267, median values: 0.28262, and quantile values: 0.25 0.076677\n0.50 0.282620\n0.75 1.127450\nName: 8057, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5396021956389938, std values: 4.80662489800267, min values: 2.2789e-06, max values: 39.247, median values: 0.24827, and quantile values: 0.25 0.079627\n0.50 0.248270\n0.75 0.972100\nName: 8058, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3231563536075472, std values: 4.9274714060728115, min values: 2.0802e-06, max values: 39.871, median values: 0.16211, and quantile values: 0.25 0.056141\n0.50 0.162110\n0.75 0.632435\nName: 8059, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4663507160704405, std values: 4.858632013404614, min values: 2.4601e-06, max values: 39.425, median values: 0.21006, and quantile values: 0.25 0.069714\n0.50 0.210060\n0.75 0.839020\nName: 8060, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5540047440415095, std values: 4.889758654549316, min values: 1.9964e-06, max values: 38.582, median values: 0.26289, and quantile values: 0.25 0.077399\n0.50 0.262890\n0.75 1.014700\nName: 8061, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7320113021113206, std values: 5.37883572207086, min values: 5.3756e-06, max values: 43.475, median values: 0.29728, and quantile values: 0.25 0.078885\n0.50 0.297280\n0.75 0.937190\nName: 8062, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4075945948018869, std values: 4.7082919423989, min values: 2.1266e-06, max values: 38.499, median values: 0.22338, and quantile values: 0.25 0.060686\n0.50 0.223380\n0.75 0.797145\nName: 8063, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5372071597046542, std values: 4.874536289962593, min values: 9.9214e-07, max values: 38.36, median values: 0.278, and quantile values: 0.25 0.075005\n0.50 0.278000\n0.75 0.998185\nName: 8064, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6897251822333337, std values: 5.007014571797944, min values: 4.9201e-06, max values: 40.506, median values: 0.28049, and quantile values: 0.25 0.080107\n0.50 0.280490\n0.75 1.113150\nName: 8065, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6475126519615721, std values: 5.01764954068035, min values: 2.2899e-07, max values: 40.991, median values: 0.25211, and quantile values: 0.25 0.070139\n0.50 0.252110\n0.75 1.156950\nName: 8066, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5009756951238993, std values: 4.928079517871808, min values: 4.1942e-06, max values: 40.432, median values: 0.24584, and quantile values: 0.25 0.069468\n0.50 0.245840\n0.75 0.883710\nName: 8067, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2216114429874212, std values: 4.804367997213565, min values: 1.0849e-06, max values: 39.17, median values: 0.14785, and quantile values: 0.25 0.050276\n0.50 0.147850\n0.75 0.651270\nName: 8068, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5167504125169813, std values: 5.184432986199996, min values: 1.8366e-06, max values: 43.835, median values: 0.25132, and quantile values: 0.25 0.069963\n0.50 0.251320\n0.75 0.923310\nName: 8069, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.136938347011258, std values: 4.516427160545469, min values: 9.3839e-07, max values: 38.72, median values: 0.12464, and quantile values: 0.25 0.036042\n0.50 0.124640\n0.75 0.504000\nName: 8070, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.467267944815975, std values: 5.008720194315344, min values: 4.0364e-07, max values: 42.701, median values: 0.18737, and quantile values: 0.25 0.060517\n0.50 0.187370\n0.75 0.837545\nName: 8071, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5630101188232706, std values: 5.1953269530514, min values: 4.5933e-06, max values: 41.498, median values: 0.2404, and quantile values: 0.25 0.072758\n0.50 0.240400\n0.75 0.890085\nName: 8072, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5670191250654086, std values: 4.974357384644291, min values: 4.6318e-06, max values: 40.274, median values: 0.24098, and quantile values: 0.25 0.078603\n0.50 0.240980\n0.75 0.908715\nName: 8073, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.799415862045283, std values: 5.238380331031425, min values: 2.4612e-06, max values: 41.56, median values: 0.29969, and quantile values: 0.25 0.08292\n0.50 0.29969\n0.75 1.32045\nName: 8074, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4569399902886793, std values: 5.030796496680662, min values: 1.6754e-06, max values: 42.048, median values: 0.21523, and quantile values: 0.25 0.061334\n0.50 0.215230\n0.75 0.830450\nName: 8075, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5928312808205032, std values: 5.0623093739672385, min values: 5.8986e-07, max values: 42.358, median values: 0.26598, and quantile values: 0.25 0.066197\n0.50 0.265980\n0.75 1.020300\nName: 8076, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.541418332570503, std values: 4.968769095464272, min values: 7.1831e-07, max values: 40.162, median values: 0.24652, and quantile values: 0.25 0.064385\n0.50 0.246520\n0.75 0.988860\nName: 8077, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7220753291018867, std values: 5.205357940117892, min values: 2.2605e-06, max values: 40.745, median values: 0.264, and quantile values: 0.25 0.090637\n0.50 0.264000\n0.75 1.030700\nName: 8078, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.504389623244654, std values: 5.017445554563256, min values: 3.2134e-06, max values: 40.802, median values: 0.2281, and quantile values: 0.25 0.068761\n0.50 0.228100\n0.75 0.868135\nName: 8079, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.626006201561635, std values: 5.202287698193937, min values: 4.0635e-06, max values: 41.695, median values: 0.2511, and quantile values: 0.25 0.071643\n0.50 0.251100\n0.75 0.988125\nName: 8080, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3620836366133964, std values: 4.816797641987377, min values: 1.8663e-07, max values: 39.431, median values: 0.19057, and quantile values: 0.25 0.052742\n0.50 0.190570\n0.75 0.759190\nName: 8081, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.446127808717233, std values: 5.121142137520605, min values: 7.3014e-07, max values: 44.372, median values: 0.19604, and quantile values: 0.25 0.053017\n0.50 0.196040\n0.75 0.788780\nName: 8082, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2295984703100629, std values: 4.696058706759992, min values: 1.4386e-06, max values: 37.991, median values: 0.13715, and quantile values: 0.25 0.044813\n0.50 0.137150\n0.75 0.593340\nName: 8083, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4178401626037105, std values: 4.877987910673929, min values: 8.9049e-07, max values: 39.919, median values: 0.17064, and quantile values: 0.25 0.054769\n0.50 0.170640\n0.75 0.760905\nName: 8084, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8134095527515721, std values: 5.374366573532689, min values: 4.4141e-06, max values: 43.991, median values: 0.29458, and quantile values: 0.25 0.085361\n0.50 0.294580\n0.75 1.173300\nName: 8085, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4348310536012578, std values: 4.869317388595799, min values: 3.1886e-06, max values: 39.756, median values: 0.20449, and quantile values: 0.25 0.06447\n0.50 0.20449\n0.75 0.84474\nName: 8086, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3765998547891196, std values: 4.886501983638637, min values: 3.0397e-07, max values: 41.079, median values: 0.19113, and quantile values: 0.25 0.053302\n0.50 0.191130\n0.75 0.728875\nName: 8087, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.375205430233786, std values: 4.73788904718743, min values: 3.8072e-08, max values: 38.119, median values: 0.1872, and quantile values: 0.25 0.058429\n0.50 0.187200\n0.75 0.787870\nName: 8088, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7321785653503143, std values: 5.217890746013511, min values: 1.7839e-06, max values: 42.992, median values: 0.29555, and quantile values: 0.25 0.086178\n0.50 0.295550\n0.75 1.183100\nName: 8089, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3387819827933962, std values: 4.7467377258720465, min values: 4.6435e-07, max values: 38.649, median values: 0.16602, and quantile values: 0.25 0.04160\n0.50 0.16602\n0.75 0.74483\nName: 8090, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.393718473848805, std values: 4.710624617499991, min values: 3.4506e-07, max values: 37.156, median values: 0.17022, and quantile values: 0.25 0.049729\n0.50 0.170220\n0.75 0.818500\nName: 8091, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3277400769271697, std values: 4.7189253201994585, min values: 6.6052e-07, max values: 38.759, median values: 0.17718, and quantile values: 0.25 0.054899\n0.50 0.177180\n0.75 0.700675\nName: 8092, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5204763041792455, std values: 5.004898226560426, min values: 2.0491e-06, max values: 40.447, median values: 0.22352, and quantile values: 0.25 0.057395\n0.50 0.223520\n0.75 0.938430\nName: 8093, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.30203742269117, std values: 4.671344228978268, min values: 2.8086e-08, max values: 37.249, median values: 0.17305, and quantile values: 0.25 0.041328\n0.50 0.173050\n0.75 0.729245\nName: 8094, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.388405594079811, std values: 4.737640972053919, min values: 1.621e-08, max values: 38.256, median values: 0.17681, and quantile values: 0.25 0.043174\n0.50 0.176810\n0.75 0.751945\nName: 8095, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4090337015808176, std values: 4.78261333469028, min values: 4.9765e-07, max values: 38.464, median values: 0.22053, and quantile values: 0.25 0.058512\n0.50 0.220530\n0.75 0.837305\nName: 8096, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5367672684918237, std values: 5.062152992013465, min values: 3.0468e-06, max values: 40.66, median values: 0.22214, and quantile values: 0.25 0.06952\n0.50 0.22214\n0.75 0.92234\nName: 8097, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4731291627314465, std values: 5.0916841251618, min values: 1.38e-07, max values: 43.766, median values: 0.19819, and quantile values: 0.25 0.053490\n0.50 0.198190\n0.75 0.897335\nName: 8098, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3127899773704403, std values: 4.946857901595376, min values: 1.3065e-06, max values: 40.826, median values: 0.16933, and quantile values: 0.25 0.047515\n0.50 0.169330\n0.75 0.684515\nName: 8099, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4024703230549687, std values: 4.859216737510738, min values: 7.7404e-07, max values: 39.241, median values: 0.20565, and quantile values: 0.25 0.058811\n0.50 0.205650\n0.75 0.750815\nName: 8100, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3379358783860564, std values: 4.600119722970045, min values: 8.1193e-08, max values: 36.448, median values: 0.18408, and quantile values: 0.25 0.039758\n0.50 0.184080\n0.75 0.716475\nName: 8101, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3665128369425787, std values: 4.689131384965556, min values: 8.1347e-07, max values: 37.51, median values: 0.17273, and quantile values: 0.25 0.051102\n0.50 0.172730\n0.75 0.795385\nName: 8102, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6778167404503146, std values: 5.002304364897307, min values: 4.26e-06, max values: 39.861, median values: 0.30092, and quantile values: 0.25 0.086168\n0.50 0.300920\n0.75 1.046050\nName: 8103, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.546792059763522, std values: 4.896303778033322, min values: 1.049e-06, max values: 39.137, median values: 0.2605, and quantile values: 0.25 0.070516\n0.50 0.260500\n0.75 1.020600\nName: 8104, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4476954716177988, std values: 4.9869610462525396, min values: 7.9173e-07, max values: 41.196, median values: 0.21836, and quantile values: 0.25 0.060616\n0.50 0.218360\n0.75 0.786630\nName: 8105, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4086616818773583, std values: 4.759711268829645, min values: 5.141e-07, max values: 38.879, median values: 0.19072, and quantile values: 0.25 0.053083\n0.50 0.190720\n0.75 0.800685\nName: 8106, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4013639642943396, std values: 4.699098269007013, min values: 9.458e-07, max values: 37.978, median values: 0.19839, and quantile values: 0.25 0.066295\n0.50 0.198390\n0.75 0.859935\nName: 8107, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.261081490552415, std values: 4.567681377261145, min values: 1.9274e-08, max values: 37.204, median values: 0.15918, and quantile values: 0.25 0.043436\n0.50 0.159180\n0.75 0.645845\nName: 8108, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3692247557031574, std values: 4.741590883016727, min values: 1.1672e-08, max values: 38.532, median values: 0.15694, and quantile values: 0.25 0.037899\n0.50 0.156940\n0.75 0.741235\nName: 8109, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4266007472553457, std values: 4.933461981539251, min values: 1.823e-06, max values: 39.453, median values: 0.19564, and quantile values: 0.25 0.061423\n0.50 0.195640\n0.75 0.831725\nName: 8110, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5760810161874215, std values: 5.1439555206154415, min values: 1.2605e-06, max values: 42.924, median values: 0.22648, and quantile values: 0.25 0.06631\n0.50 0.22648\n0.75 1.00079\nName: 8111, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4886835807503147, std values: 5.070267658277651, min values: 5.7212e-06, max values: 40.776, median values: 0.22148, and quantile values: 0.25 0.075814\n0.50 0.221480\n0.75 0.801285\nName: 8112, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5149550431791197, std values: 4.866529411697905, min values: 7.2398e-07, max values: 38.449, median values: 0.22886, and quantile values: 0.25 0.067370\n0.50 0.228860\n0.75 0.925415\nName: 8113, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3157812308849686, std values: 4.754550163574711, min values: 8.3181e-07, max values: 38.627, median values: 0.15947, and quantile values: 0.25 0.047910\n0.50 0.159470\n0.75 0.706025\nName: 8114, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6408979167578615, std values: 5.074814785401827, min values: 4.5576e-06, max values: 40.679, median values: 0.29108, and quantile values: 0.25 0.081811\n0.50 0.291080\n0.75 0.948540\nName: 8115, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3162701534402517, std values: 4.533747519109612, min values: 2.6205e-06, max values: 39.027, median values: 0.19228, and quantile values: 0.25 0.060289\n0.50 0.192280\n0.75 0.747365\nName: 8116, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5175601323371073, std values: 4.8836237072019975, min values: 3.2712e-06, max values: 40.043, median values: 0.22944, and quantile values: 0.25 0.077221\n0.50 0.229440\n0.75 0.961700\nName: 8117, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.574772199213283, std values: 4.85714027614886, min values: 2.2202e-08, max values: 38.7, median values: 0.24672, and quantile values: 0.25 0.053974\n0.50 0.246720\n0.75 0.973075\nName: 8118, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.675705178308805, std values: 5.068327487137583, min values: 4.0608e-06, max values: 40.086, median values: 0.26548, and quantile values: 0.25 0.082552\n0.50 0.265480\n0.75 1.084550\nName: 8119, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.630765413035849, std values: 5.2296453475640705, min values: 2.0359e-06, max values: 43.445, median values: 0.25632, and quantile values: 0.25 0.069631\n0.50 0.256320\n0.75 1.040125\nName: 8120, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.370426432934214, std values: 4.685383277623239, min values: 7.556e-08, max values: 37.158, median values: 0.17626, and quantile values: 0.25 0.046756\n0.50 0.176260\n0.75 0.759545\nName: 8121, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4799412473811133, std values: 4.898323612571848, min values: 3.5187e-08, max values: 40.923, median values: 0.18842, and quantile values: 0.25 0.049447\n0.50 0.188420\n0.75 0.881950\nName: 8122, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.298277174659189, std values: 4.832880208650057, min values: 1.8541e-08, max values: 40.237, median values: 0.14279, and quantile values: 0.25 0.039779\n0.50 0.142790\n0.75 0.658620\nName: 8123, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4344724884670441, std values: 4.536103741219321, min values: 7.8256e-07, max values: 37.58, median values: 0.24191, and quantile values: 0.25 0.075303\n0.50 0.241910\n0.75 0.913700\nName: 8124, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3755922700578616, std values: 4.707790089686001, min values: 1.4836e-06, max values: 39.502, median values: 0.182, and quantile values: 0.25 0.060292\n0.50 0.182000\n0.75 0.790195\nName: 8125, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5080340685396854, std values: 4.969933198788328, min values: 5.1461e-07, max values: 40.834, median values: 0.23588, and quantile values: 0.25 0.073274\n0.50 0.235880\n0.75 0.932410\nName: 8126, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5109394783627672, std values: 4.624603794171438, min values: 6.259e-07, max values: 37.399, median values: 0.22579, and quantile values: 0.25 0.060382\n0.50 0.225790\n0.75 1.023700\nName: 8127, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.572498260563522, std values: 5.1319686515257645, min values: 3.396e-06, max values: 40.956, median values: 0.23342, and quantile values: 0.25 0.073359\n0.50 0.233420\n0.75 0.907675\nName: 8128, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4809632185903774, std values: 4.94195280667391, min values: 5.5597e-07, max values: 40.737, median values: 0.19898, and quantile values: 0.25 0.066412\n0.50 0.198980\n0.75 0.845985\nName: 8129, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3795726732572324, std values: 4.8666390786598965, min values: 1.346e-06, max values: 39.165, median values: 0.20467, and quantile values: 0.25 0.059495\n0.50 0.204670\n0.75 0.766305\nName: 8130, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2579565613090566, std values: 4.599722322864268, min values: 4.3754e-07, max values: 37.414, median values: 0.18025, and quantile values: 0.25 0.042142\n0.50 0.180250\n0.75 0.653495\nName: 8131, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4054127947402515, std values: 5.093370710383035, min values: 4.4585e-06, max values: 41.348, median values: 0.19965, and quantile values: 0.25 0.061221\n0.50 0.199650\n0.75 0.645305\nName: 8132, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6152890122308177, std values: 5.145240114880501, min values: 1.4325e-06, max values: 42.851, median values: 0.2192, and quantile values: 0.25 0.063736\n0.50 0.219200\n0.75 1.041750\nName: 8133, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3473682954140251, std values: 4.981552309578841, min values: 2.9237e-07, max values: 43.563, median values: 0.12987, and quantile values: 0.25 0.033288\n0.50 0.129870\n0.75 0.675580\nName: 8134, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4084861168254086, std values: 4.82276528651986, min values: 1.1434e-07, max values: 39.495, median values: 0.21478, and quantile values: 0.25 0.056302\n0.50 0.214780\n0.75 0.802385\nName: 8135, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3566900393150316, std values: 4.756909620341058, min values: 3.4719e-07, max values: 38.612, median values: 0.1635, and quantile values: 0.25 0.048167\n0.50 0.163500\n0.75 0.776375\nName: 8136, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5900928737679245, std values: 4.778205110635643, min values: 1.3231e-06, max values: 37.923, median values: 0.28761, and quantile values: 0.25 0.081793\n0.50 0.287610\n0.75 1.071750\nName: 8137, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5327650401041824, std values: 4.826751695298049, min values: 6.2735e-08, max values: 38.605, median values: 0.24253, and quantile values: 0.25 0.060021\n0.50 0.242530\n0.75 1.026800\nName: 8138, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.471226478035107, std values: 4.883008129020969, min values: 1.9682e-08, max values: 39.885, median values: 0.20573, and quantile values: 0.25 0.057355\n0.50 0.205730\n0.75 0.935780\nName: 8139, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.732899212378176, std values: 5.028535063919389, min values: 8.9673e-07, max values: 40.191, median values: 0.27905, and quantile values: 0.25 0.083456\n0.50 0.279050\n0.75 1.212900\nName: 8140, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2539311283081762, std values: 4.663823177455255, min values: 6.14e-07, max values: 38.051, median values: 0.17086, and quantile values: 0.25 0.048116\n0.50 0.170860\n0.75 0.707335\nName: 8141, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3434792364358492, std values: 4.556398132328983, min values: 1.6418e-06, max values: 39.877, median values: 0.2106, and quantile values: 0.25 0.054305\n0.50 0.210600\n0.75 0.870230\nName: 8142, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.497383741908805, std values: 4.793648930813179, min values: 2.649e-06, max values: 39.873, median values: 0.25027, and quantile values: 0.25 0.072294\n0.50 0.250270\n0.75 0.965225\nName: 8143, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7205842879125786, std values: 5.422074560128608, min values: 7.7201e-06, max values: 43.89, median values: 0.26379, and quantile values: 0.25 0.079244\n0.50 0.263790\n0.75 1.028750\nName: 8144, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5730770174226416, std values: 5.124784092763141, min values: 1.797e-06, max values: 42.704, median values: 0.26068, and quantile values: 0.25 0.074596\n0.50 0.260680\n0.75 0.940500\nName: 8145, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.527348086962893, std values: 4.911052877301583, min values: 1.1708e-06, max values: 38.994, median values: 0.24867, and quantile values: 0.25 0.060690\n0.50 0.248670\n0.75 0.968155\nName: 8146, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7224190964674213, std values: 5.074056176295769, min values: 6.1432e-07, max values: 40.698, median values: 0.28596, and quantile values: 0.25 0.078386\n0.50 0.285960\n0.75 1.232200\nName: 8147, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5350703842484277, std values: 5.0253451604711215, min values: 1.317e-06, max values: 40.741, median values: 0.21632, and quantile values: 0.25 0.065142\n0.50 0.216320\n0.75 0.972465\nName: 8148, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4550856528105471, std values: 4.771063937702521, min values: 7.8977e-08, max values: 38.097, median values: 0.22042, and quantile values: 0.25 0.055561\n0.50 0.220420\n0.75 0.932225\nName: 8149, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.474561861006478, std values: 4.903446326287811, min values: 8.8573e-07, max values: 39.698, median values: 0.22074, and quantile values: 0.25 0.065323\n0.50 0.220740\n0.75 0.844235\nName: 8150, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5801199693786163, std values: 5.029472765640559, min values: 5.2245e-06, max values: 40.248, median values: 0.26363, and quantile values: 0.25 0.084808\n0.50 0.263630\n0.75 0.884010\nName: 8151, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3668764052528302, std values: 5.080770862846069, min values: 1.5062e-06, max values: 44.298, median values: 0.19209, and quantile values: 0.25 0.057489\n0.50 0.192090\n0.75 0.738665\nName: 8152, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6925826032245281, std values: 5.152845057356302, min values: 1.0798e-06, max values: 42.563, median values: 0.26584, and quantile values: 0.25 0.069607\n0.50 0.265840\n0.75 1.111350\nName: 8153, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.214030618776604, std values: 4.5995303148812345, min values: 9.7178e-07, max values: 38.227, median values: 0.15466, and quantile values: 0.25 0.049018\n0.50 0.154660\n0.75 0.646570\nName: 8154, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4805130294338362, std values: 4.653626126329405, min values: 4.3468e-07, max values: 37.882, median values: 0.22123, and quantile values: 0.25 0.055392\n0.50 0.221230\n0.75 0.995900\nName: 8155, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5457592075069182, std values: 4.7910853386501, min values: 1.2889e-06, max values: 37.794, median values: 0.2449, and quantile values: 0.25 0.070484\n0.50 0.244900\n0.75 1.064700\nName: 8156, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.444329519760063, std values: 4.790139529864931, min values: 3.282e-08, max values: 39.006, median values: 0.20595, and quantile values: 0.25 0.050031\n0.50 0.205950\n0.75 0.917495\nName: 8157, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4471496018679875, std values: 5.008305080482118, min values: 3.4251e-07, max values: 42.691, median values: 0.19999, and quantile values: 0.25 0.053776\n0.50 0.199990\n0.75 0.855665\nName: 8158, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.365545459247799, std values: 4.794438760038619, min values: 1.0228e-06, max values: 38.663, median values: 0.20672, and quantile values: 0.25 0.065401\n0.50 0.206720\n0.75 0.782625\nName: 8159, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.232692029233019, std values: 4.681814993570114, min values: 5.5465e-07, max values: 38.105, median values: 0.14769, and quantile values: 0.25 0.042407\n0.50 0.147690\n0.75 0.654420\nName: 8160, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.502237667418679, std values: 4.783006293660782, min values: 2.1127e-07, max values: 37.966, median values: 0.23372, and quantile values: 0.25 0.055346\n0.50 0.233720\n0.75 1.055580\nName: 8161, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4973607340344026, std values: 5.051894842601018, min values: 9.7047e-07, max values: 41.817, median values: 0.18295, and quantile values: 0.25 0.053533\n0.50 0.182950\n0.75 0.880740\nName: 8162, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5781645512741511, std values: 5.108263888523181, min values: 8.3819e-07, max values: 43.234, median values: 0.21849, and quantile values: 0.25 0.065765\n0.50 0.218490\n0.75 0.961460\nName: 8163, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5663342074539874, std values: 5.156170308374772, min values: 2.9784e-08, max values: 44.628, median values: 0.22714, and quantile values: 0.25 0.058375\n0.50 0.227140\n0.75 0.989105\nName: 8164, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4072910766972957, std values: 4.762521441250107, min values: 2.1837e-07, max values: 38.236, median values: 0.21733, and quantile values: 0.25 0.055123\n0.50 0.217330\n0.75 0.839365\nName: 8165, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3045681801571698, std values: 4.670868769249109, min values: 8.7129e-07, max values: 38.573, median values: 0.1591, and quantile values: 0.25 0.051329\n0.50 0.159100\n0.75 0.743755\nName: 8166, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.439460312762264, std values: 4.912121357107511, min values: 1.7207e-06, max values: 39.353, median values: 0.20055, and quantile values: 0.25 0.058624\n0.50 0.200550\n0.75 0.885790\nName: 8167, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8088790741578613, std values: 5.303394363382663, min values: 1.896e-06, max values: 43.983, median values: 0.30714, and quantile values: 0.25 0.084492\n0.50 0.307140\n0.75 1.274650\nName: 8168, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3835102189803143, std values: 4.7306378900505015, min values: 2.6438e-07, max values: 38.509, median values: 0.1859, and quantile values: 0.25 0.04675\n0.50 0.18590\n0.75 0.71726\nName: 8169, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3957626910539938, std values: 4.912434302408965, min values: 2.6095e-08, max values: 42.175, median values: 0.18405, and quantile values: 0.25 0.039410\n0.50 0.184050\n0.75 0.755985\nName: 8170, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6147365940635219, std values: 5.064677710642956, min values: 5.1857e-06, max values: 39.663, median values: 0.27167, and quantile values: 0.25 0.080709\n0.50 0.271670\n0.75 1.013515\nName: 8171, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5023361618329372, std values: 4.725516219728697, min values: 2.4037e-08, max values: 37.272, median values: 0.21889, and quantile values: 0.25 0.049935\n0.50 0.218890\n0.75 0.947945\nName: 8172, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4830891064349119, std values: 4.861817678093618, min values: 4.3101e-08, max values: 40.214, median values: 0.25017, and quantile values: 0.25 0.052795\n0.50 0.250170\n0.75 0.906525\nName: 8173, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4687843253005033, std values: 4.894044971527638, min values: 6.5178e-07, max values: 39.687, median values: 0.21397, and quantile values: 0.25 0.059621\n0.50 0.213970\n0.75 0.903095\nName: 8174, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.455769966361006, std values: 4.9690265859402585, min values: 1.4554e-06, max values: 40.069, median values: 0.21178, and quantile values: 0.25 0.055699\n0.50 0.211780\n0.75 0.857545\nName: 8175, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4794464615049685, std values: 5.080999548660787, min values: 7.6199e-07, max values: 43.765, median values: 0.24036, and quantile values: 0.25 0.067228\n0.50 0.240360\n0.75 0.895705\nName: 8176, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3971343890547172, std values: 4.771898474730399, min values: 1.2451e-06, max values: 38.616, median values: 0.18665, and quantile values: 0.25 0.058458\n0.50 0.186650\n0.75 0.811995\nName: 8177, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3633243488911948, std values: 5.017120982816454, min values: 1.2941e-06, max values: 41.76, median values: 0.18355, and quantile values: 0.25 0.058531\n0.50 0.183550\n0.75 0.760280\nName: 8178, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4653945220508804, std values: 4.618978537884652, min values: 3.929e-08, max values: 36.615, median values: 0.22862, and quantile values: 0.25 0.047057\n0.50 0.228620\n0.75 0.930585\nName: 8179, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.554965094211321, std values: 4.938719118638554, min values: 1.8238e-06, max values: 39.595, median values: 0.24506, and quantile values: 0.25 0.065115\n0.50 0.245060\n0.75 1.008750\nName: 8180, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3462932288597484, std values: 4.632221854845439, min values: 1.5525e-06, max values: 39.229, median values: 0.18615, and quantile values: 0.25 0.055223\n0.50 0.186150\n0.75 0.765360\nName: 8181, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4405112060591196, std values: 4.86053947277598, min values: 3.0913e-06, max values: 40.053, median values: 0.20622, and quantile values: 0.25 0.061724\n0.50 0.206220\n0.75 0.877670\nName: 8182, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4681296234577357, std values: 5.083001031699037, min values: 2.4978e-07, max values: 44.29, median values: 0.18, and quantile values: 0.25 0.048481\n0.50 0.180000\n0.75 0.904990\nName: 8183, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6071122879877988, std values: 4.929130457549832, min values: 6.1736e-07, max values: 39.159, median values: 0.27814, and quantile values: 0.25 0.071465\n0.50 0.278140\n0.75 1.063650\nName: 8184, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4085277783213836, std values: 4.961945810704364, min values: 1.4374e-06, max values: 40.396, median values: 0.18704, and quantile values: 0.25 0.059285\n0.50 0.187040\n0.75 0.817375\nName: 8185, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8313758658100632, std values: 5.400435773814441, min values: 5.6898e-06, max values: 43.286, median values: 0.28297, and quantile values: 0.25 0.098385\n0.50 0.282970\n0.75 1.137350\nName: 8186, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3262340282428302, std values: 4.678350715091774, min values: 2.3398e-07, max values: 37.258, median values: 0.19598, and quantile values: 0.25 0.045155\n0.50 0.195980\n0.75 0.717190\nName: 8187, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4183896655358492, std values: 4.710231405572204, min values: 2.4999e-06, max values: 39.139, median values: 0.21405, and quantile values: 0.25 0.061474\n0.50 0.214050\n0.75 0.849525\nName: 8188, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.424364811653459, std values: 4.761296584418083, min values: 1.2271e-06, max values: 38.676, median values: 0.19597, and quantile values: 0.25 0.059957\n0.50 0.195970\n0.75 0.867075\nName: 8189, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4740565646248427, std values: 5.072236293639119, min values: 1.1105e-07, max values: 43.977, median values: 0.20801, and quantile values: 0.25 0.056233\n0.50 0.208010\n0.75 0.922145\nName: 8190, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3206359810662263, std values: 4.644442118021771, min values: 4.8683e-07, max values: 38.723, median values: 0.18822, and quantile values: 0.25 0.051382\n0.50 0.188220\n0.75 0.767035\nName: 8191, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3873590012685533, std values: 4.919034532180301, min values: 2.5963e-06, max values: 41.295, median values: 0.19656, and quantile values: 0.25 0.052144\n0.50 0.196560\n0.75 0.722675\nName: 8192, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5280254549207544, std values: 5.119655057691737, min values: 1.0396e-06, max values: 43.164, median values: 0.22111, and quantile values: 0.25 0.066619\n0.50 0.221110\n0.75 0.958765\nName: 8193, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3848445781874215, std values: 5.016476657261363, min values: 2.5525e-06, max values: 41.239, median values: 0.17828, and quantile values: 0.25 0.053438\n0.50 0.178280\n0.75 0.748360\nName: 8194, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4865836835855346, std values: 4.977302237385621, min values: 1.026e-06, max values: 40.318, median values: 0.18658, and quantile values: 0.25 0.065375\n0.50 0.186580\n0.75 0.871860\nName: 8195, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.773588085161258, std values: 5.055062732607164, min values: 9.5114e-07, max values: 38.942, median values: 0.2931, and quantile values: 0.25 0.079337\n0.50 0.293100\n0.75 1.274500\nName: 8196, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6248946953308172, std values: 5.270966528698343, min values: 4.8257e-06, max values: 42.557, median values: 0.27151, and quantile values: 0.25 0.070014\n0.50 0.271510\n0.75 0.893885\nName: 8197, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3406093606251572, std values: 4.7841403654213375, min values: 1.4209e-06, max values: 38.344, median values: 0.19265, and quantile values: 0.25 0.052626\n0.50 0.192650\n0.75 0.736030\nName: 8198, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.426747823009434, std values: 4.789402583134072, min values: 2.0403e-06, max values: 38.896, median values: 0.20725, and quantile values: 0.25 0.059077\n0.50 0.207250\n0.75 0.848980\nName: 8199, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5769366060471697, std values: 5.02959686257755, min values: 4.5864e-06, max values: 40.033, median values: 0.26133, and quantile values: 0.25 0.071101\n0.50 0.261330\n0.75 0.922070\nName: 8200, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5610639445245282, std values: 4.9591837433068795, min values: 1.6124e-06, max values: 40.18, median values: 0.23935, and quantile values: 0.25 0.068375\n0.50 0.239350\n0.75 1.005005\nName: 8201, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4509591079989936, std values: 4.943733086550367, min values: 2.0164e-07, max values: 40.439, median values: 0.19626, and quantile values: 0.25 0.047794\n0.50 0.196260\n0.75 0.853310\nName: 8202, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5163818778918239, std values: 5.002799140141419, min values: 2.8647e-06, max values: 40.031, median values: 0.22928, and quantile values: 0.25 0.063164\n0.50 0.229280\n0.75 0.913510\nName: 8203, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4431497088295409, std values: 4.645578793863451, min values: 1.5887e-08, max values: 36.408, median values: 0.15735, and quantile values: 0.25 0.043967\n0.50 0.157350\n0.75 0.862895\nName: 8204, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5212477416245285, std values: 4.957023315401442, min values: 2.7561e-06, max values: 40.068, median values: 0.22183, and quantile values: 0.25 0.064205\n0.50 0.221830\n0.75 0.890040\nName: 8205, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4812559701301886, std values: 4.776530154131386, min values: 1.1056e-06, max values: 38.904, median values: 0.20476, and quantile values: 0.25 0.065768\n0.50 0.204760\n0.75 0.899470\nName: 8206, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.415488820089937, std values: 4.78732967763424, min values: 1.4018e-06, max values: 39.68, median values: 0.20583, and quantile values: 0.25 0.067241\n0.50 0.205830\n0.75 0.861785\nName: 8207, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5666640819779873, std values: 5.00329083951461, min values: 1.3699e-06, max values: 40.732, median values: 0.27432, and quantile values: 0.25 0.073367\n0.50 0.274320\n0.75 0.981050\nName: 8208, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5219945978897484, std values: 4.988246653935756, min values: 8.8497e-07, max values: 40.632, median values: 0.2075, and quantile values: 0.25 0.0606\n0.50 0.2075\n0.75 0.9550\nName: 8209, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6817045556364782, std values: 5.146751378763412, min values: 2.1166e-06, max values: 41.943, median values: 0.30052, and quantile values: 0.25 0.084454\n0.50 0.300520\n0.75 1.122600\nName: 8210, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3933556224581762, std values: 5.1071807227468415, min values: 3.9795e-07, max values: 44.965, median values: 0.19565, and quantile values: 0.25 0.053063\n0.50 0.195650\n0.75 0.735720\nName: 8211, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4465466957861637, std values: 4.868156901079945, min values: 1.4287e-06, max values: 38.451, median values: 0.17863, and quantile values: 0.25 0.049650\n0.50 0.178630\n0.75 0.806985\nName: 8212, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6206023220960375, std values: 4.874285975438676, min values: 9.7647e-07, max values: 38.221, median values: 0.2574, and quantile values: 0.25 0.075168\n0.50 0.257400\n0.75 1.166850\nName: 8213, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5384742219917609, std values: 4.916697163937024, min values: 4.8669e-07, max values: 39.498, median values: 0.23499, and quantile values: 0.25 0.060581\n0.50 0.234990\n0.75 0.974560\nName: 8214, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4227320508710692, std values: 4.7515790861624705, min values: 1.7941e-06, max values: 38.999, median values: 0.22608, and quantile values: 0.25 0.064556\n0.50 0.226080\n0.75 0.859305\nName: 8215, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6083417405433962, std values: 4.838601145702135, min values: 2.2934e-06, max values: 38.974, median values: 0.26382, and quantile values: 0.25 0.074357\n0.50 0.263820\n0.75 1.100550\nName: 8216, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3526969389650316, std values: 5.1524942584926565, min values: 8.1844e-07, max values: 45.565, median values: 0.16855, and quantile values: 0.25 0.051915\n0.50 0.168550\n0.75 0.720555\nName: 8217, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7375938671754718, std values: 5.123977091607006, min values: 3.2733e-06, max values: 40.028, median values: 0.30455, and quantile values: 0.25 0.084599\n0.50 0.304550\n0.75 1.203050\nName: 8218, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4033618689894969, std values: 4.775092127187226, min values: 8.4203e-07, max values: 37.965, median values: 0.20875, and quantile values: 0.25 0.062234\n0.50 0.208750\n0.75 0.835390\nName: 8219, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4766527542836478, std values: 4.868086458429424, min values: 1.6036e-06, max values: 39.209, median values: 0.23658, and quantile values: 0.25 0.074445\n0.50 0.236580\n0.75 0.967130\nName: 8220, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4363244777716981, std values: 4.830765522688719, min values: 2.0938e-06, max values: 39.754, median values: 0.24012, and quantile values: 0.25 0.063464\n0.50 0.240120\n0.75 0.873460\nName: 8221, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3627375626584906, std values: 4.8346689531108336, min values: 1.247e-06, max values: 39.076, median values: 0.16971, and quantile values: 0.25 0.053364\n0.50 0.169710\n0.75 0.707520\nName: 8222, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.555359884387044, std values: 4.9478938030447015, min values: 3.3522e-07, max values: 40.894, median values: 0.19109, and quantile values: 0.25 0.052114\n0.50 0.191090\n0.75 0.920790\nName: 8223, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4052624545514465, std values: 4.829459093204454, min values: 8.0938e-07, max values: 39.305, median values: 0.22962, and quantile values: 0.25 0.063684\n0.50 0.229620\n0.75 0.826760\nName: 8224, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3499845091350318, std values: 4.855833774255448, min values: 9.1767e-07, max values: 39.411, median values: 0.18326, and quantile values: 0.25 0.050859\n0.50 0.183260\n0.75 0.692285\nName: 8225, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.689463707090566, std values: 4.997908153045519, min values: 2.4108e-06, max values: 39.517, median values: 0.29012, and quantile values: 0.25 0.079261\n0.50 0.290120\n0.75 1.178050\nName: 8226, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3378382648010694, std values: 4.915120593072672, min values: 1.0066e-07, max values: 42.131, median values: 0.16765, and quantile values: 0.25 0.045641\n0.50 0.167650\n0.75 0.714155\nName: 8227, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3487802887874212, std values: 4.989597894971854, min values: 2.6384e-06, max values: 41.218, median values: 0.18271, and quantile values: 0.25 0.057999\n0.50 0.182710\n0.75 0.693000\nName: 8228, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5117486408943397, std values: 5.086229320934501, min values: 2.307e-06, max values: 42.188, median values: 0.23145, and quantile values: 0.25 0.06905\n0.50 0.23145\n0.75 0.90188\nName: 8229, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3625076557333333, std values: 4.649635902282037, min values: 2.5891e-06, max values: 39.601, median values: 0.21377, and quantile values: 0.25 0.063506\n0.50 0.213770\n0.75 0.789380\nName: 8230, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3857407210686792, std values: 4.811002099370212, min values: 4.8842e-07, max values: 38.98, median values: 0.15252, and quantile values: 0.25 0.045468\n0.50 0.152520\n0.75 0.768050\nName: 8231, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3723555664559748, std values: 4.755690368349333, min values: 7.689e-07, max values: 37.962, median values: 0.16503, and quantile values: 0.25 0.051542\n0.50 0.165030\n0.75 0.740910\nName: 8232, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.419424940693711, std values: 4.824207676797515, min values: 2.3747e-06, max values: 39.594, median values: 0.22423, and quantile values: 0.25 0.063866\n0.50 0.224230\n0.75 0.805995\nName: 8233, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.536932158062893, std values: 5.040281543856951, min values: 2.4923e-06, max values: 41.123, median values: 0.24184, and quantile values: 0.25 0.064164\n0.50 0.241840\n0.75 0.940225\nName: 8234, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.252469453610063, std values: 4.891003119462065, min values: 1.1539e-06, max values: 40.802, median values: 0.14875, and quantile values: 0.25 0.048201\n0.50 0.148750\n0.75 0.627895\nName: 8235, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3714286901723274, std values: 4.968374677, min values: 2.2587e-06, max values: 39.965, median values: 0.19913, and quantile values: 0.25 0.055212\n0.50 0.199130\n0.75 0.768320\nName: 8236, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2871373848309242, std values: 4.871719518453192, min values: 1.7637e-08, max values: 41.478, median values: 0.15539, and quantile values: 0.25 0.042950\n0.50 0.155390\n0.75 0.660895\nName: 8237, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5997186416018867, std values: 4.888556573794915, min values: 1.5746e-06, max values: 38.316, median values: 0.28455, and quantile values: 0.25 0.072559\n0.50 0.284550\n0.75 1.084350\nName: 8238, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4389978708692075, std values: 4.971031322121259, min values: 3.3254e-08, max values: 42.898, median values: 0.18462, and quantile values: 0.25 0.049882\n0.50 0.184620\n0.75 0.859405\nName: 8239, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3606862688974841, std values: 4.842416074985385, min values: 3.4453e-06, max values: 41.141, median values: 0.20626, and quantile values: 0.25 0.056603\n0.50 0.206260\n0.75 0.715990\nName: 8240, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4867167531930818, std values: 5.022794975450592, min values: 2.6511e-06, max values: 40.29, median values: 0.23891, and quantile values: 0.25 0.064592\n0.50 0.238910\n0.75 0.828895\nName: 8241, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4605826952473584, std values: 4.742241511969698, min values: 8.2453e-07, max values: 38.851, median values: 0.22568, and quantile values: 0.25 0.06681\n0.50 0.22568\n0.75 0.88983\nName: 8242, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7853752988490568, std values: 5.190610672588723, min values: 7.841e-06, max values: 40.998, median values: 0.33238, and quantile values: 0.25 0.090449\n0.50 0.332380\n0.75 1.128300\nName: 8243, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5857377451308177, std values: 4.891009793755915, min values: 4.995e-07, max values: 38.989, median values: 0.25233, and quantile values: 0.25 0.065577\n0.50 0.252330\n0.75 1.078850\nName: 8244, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4081640655522014, std values: 4.896178272106879, min values: 1.7767e-06, max values: 39.373, median values: 0.19707, and quantile values: 0.25 0.060784\n0.50 0.197070\n0.75 0.734655\nName: 8245, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4017576856371068, std values: 4.816388484201675, min values: 1.4553e-06, max values: 39.008, median values: 0.1866, and quantile values: 0.25 0.051158\n0.50 0.186600\n0.75 0.833460\nName: 8246, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4937938704943394, std values: 5.148247711594041, min values: 1.1028e-06, max values: 43.983, median values: 0.23343, and quantile values: 0.25 0.07270\n0.50 0.23343\n0.75 0.87948\nName: 8247, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2585319760577987, std values: 4.560894247035153, min values: 3.7349e-07, max values: 37.568, median values: 0.15531, and quantile values: 0.25 0.045621\n0.50 0.155310\n0.75 0.650985\nName: 8248, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6238510256987422, std values: 5.1277373615324455, min values: 5.2602e-06, max values: 41.204, median values: 0.26714, and quantile values: 0.25 0.074608\n0.50 0.267140\n0.75 0.969515\nName: 8249, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.372870667498868, std values: 4.640729281536675, min values: 2.7092e-07, max values: 36.636, median values: 0.17369, and quantile values: 0.25 0.052199\n0.50 0.173690\n0.75 0.800280\nName: 8250, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5542535310288053, std values: 5.093581421869076, min values: 2.4548e-07, max values: 43.225, median values: 0.19875, and quantile values: 0.25 0.053539\n0.50 0.198750\n0.75 1.002060\nName: 8251, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1972831830202453, std values: 4.577121360965254, min values: 1.5846e-08, max values: 37.376, median values: 0.12115, and quantile values: 0.25 0.028939\n0.50 0.121150\n0.75 0.548610\nName: 8252, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.374097367000629, std values: 4.772279021090053, min values: 2.7738e-06, max values: 40.309, median values: 0.20029, and quantile values: 0.25 0.060300\n0.50 0.200290\n0.75 0.775955\nName: 8253, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.434777704698742, std values: 5.1560813144269035, min values: 3.0075e-06, max values: 42.685, median values: 0.21091, and quantile values: 0.25 0.058258\n0.50 0.210910\n0.75 0.780900\nName: 8254, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5049958473735847, std values: 5.120153218385912, min values: 1.9873e-06, max values: 43.05, median values: 0.24366, and quantile values: 0.25 0.074042\n0.50 0.243660\n0.75 0.893930\nName: 8255, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4711727275006288, std values: 4.840274706411937, min values: 2.7897e-06, max values: 39.872, median values: 0.26816, and quantile values: 0.25 0.064407\n0.50 0.268160\n0.75 0.887465\nName: 8256, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5837502757433963, std values: 5.179721919083953, min values: 4.9161e-06, max values: 41.426, median values: 0.23417, and quantile values: 0.25 0.070239\n0.50 0.234170\n0.75 0.942015\nName: 8257, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5755751731874215, std values: 5.058449409252094, min values: 1.1111e-06, max values: 41.238, median values: 0.29114, and quantile values: 0.25 0.066471\n0.50 0.291140\n0.75 1.007540\nName: 8258, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.420664450909434, std values: 4.8800491008524665, min values: 1.4437e-06, max values: 39.043, median values: 0.203, and quantile values: 0.25 0.061146\n0.50 0.203000\n0.75 0.834045\nName: 8259, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5072674240069182, std values: 4.918324010511852, min values: 3.9275e-06, max values: 39.679, median values: 0.21863, and quantile values: 0.25 0.071354\n0.50 0.218630\n0.75 0.841635\nName: 8260, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.328012702631635, std values: 4.5591662580216585, min values: 7.5803e-07, max values: 37.471, median values: 0.19568, and quantile values: 0.25 0.059920\n0.50 0.195680\n0.75 0.775165\nName: 8261, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.427283363628239, std values: 5.140926748690007, min values: 6.4169e-07, max values: 45.083, median values: 0.2113, and quantile values: 0.25 0.059187\n0.50 0.211300\n0.75 0.760260\nName: 8262, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.508723325153522, std values: 4.7916710045728514, min values: 4.4361e-07, max values: 37.807, median values: 0.22475, and quantile values: 0.25 0.056610\n0.50 0.224750\n0.75 0.969835\nName: 8263, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9404723370150945, std values: 5.3340477775048205, min values: 6.7264e-06, max values: 41.128, median values: 0.34489, and quantile values: 0.25 0.097973\n0.50 0.344890\n0.75 1.264500\nName: 8264, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4037396157790565, std values: 4.63059494557328, min values: 1.8877e-07, max values: 37.476, median values: 0.19106, and quantile values: 0.25 0.056284\n0.50 0.191060\n0.75 0.818075\nName: 8265, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4543234020922013, std values: 4.855622734133191, min values: 1.5246e-07, max values: 39.59, median values: 0.19314, and quantile values: 0.25 0.050307\n0.50 0.193140\n0.75 0.807970\nName: 8266, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3369779765192453, std values: 4.735356469720306, min values: 3.2746e-07, max values: 38.38, median values: 0.19419, and quantile values: 0.25 0.050683\n0.50 0.194190\n0.75 0.735560\nName: 8267, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4712969493503145, std values: 4.927562792619554, min values: 1.6243e-06, max values: 39.946, median values: 0.25334, and quantile values: 0.25 0.070648\n0.50 0.253340\n0.75 0.898600\nName: 8268, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6063438534496854, std values: 4.876082517655593, min values: 1.3161e-06, max values: 38.361, median values: 0.25065, and quantile values: 0.25 0.066076\n0.50 0.250650\n0.75 1.067400\nName: 8269, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5056720924483018, std values: 4.834765780956092, min values: 3.268e-07, max values: 38.958, median values: 0.21232, and quantile values: 0.25 0.058201\n0.50 0.212320\n0.75 0.847460\nName: 8270, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.56176282582761, std values: 4.775167402754433, min values: 9.5759e-07, max values: 37.541, median values: 0.28824, and quantile values: 0.25 0.072071\n0.50 0.288240\n0.75 1.014600\nName: 8271, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4646844715824527, std values: 4.9212226491339495, min values: 7.7261e-07, max values: 40.233, median values: 0.2157, and quantile values: 0.25 0.067688\n0.50 0.215700\n0.75 0.874020\nName: 8272, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5600086524698114, std values: 5.019042969694529, min values: 1.1255e-06, max values: 41.203, median values: 0.27844, and quantile values: 0.25 0.072004\n0.50 0.278440\n0.75 1.001155\nName: 8273, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.615732404203145, std values: 5.021853087352628, min values: 1.9003e-06, max values: 39.897, median values: 0.24912, and quantile values: 0.25 0.069271\n0.50 0.249120\n0.75 1.026345\nName: 8274, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5197108531591192, std values: 5.004294383068474, min values: 1.6462e-06, max values: 40.746, median values: 0.23221, and quantile values: 0.25 0.06261\n0.50 0.23221\n0.75 0.89969\nName: 8275, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4680833794645285, std values: 5.004454241004462, min values: 5.3256e-07, max values: 41.012, median values: 0.19293, and quantile values: 0.25 0.053062\n0.50 0.192930\n0.75 0.897880\nName: 8276, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4294561716058367, std values: 4.680142164479708, min values: 1.5408e-08, max values: 36.68, median values: 0.16081, and quantile values: 0.25 0.045083\n0.50 0.160810\n0.75 0.810410\nName: 8277, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4702705963836478, std values: 5.161936483383452, min values: 2.4497e-06, max values: 42.722, median values: 0.21269, and quantile values: 0.25 0.055426\n0.50 0.212690\n0.75 0.797460\nName: 8278, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.345100678299497, std values: 4.763042630426053, min values: 1.5592e-07, max values: 38.435, median values: 0.17534, and quantile values: 0.25 0.049892\n0.50 0.175340\n0.75 0.722975\nName: 8279, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4527493716402515, std values: 4.687734739960544, min values: 1.795e-06, max values: 38.686, median values: 0.2232, and quantile values: 0.25 0.069574\n0.50 0.223200\n0.75 0.920280\nName: 8280, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4601323855440251, std values: 4.799670572374624, min values: 2.4297e-06, max values: 39.548, median values: 0.21494, and quantile values: 0.25 0.067763\n0.50 0.214940\n0.75 0.865945\nName: 8281, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6822096445733337, std values: 5.256363806245428, min values: 5.7966e-07, max values: 45.081, median values: 0.24764, and quantile values: 0.25 0.07301\n0.50 0.24764\n0.75 1.06300\nName: 8282, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4281426034762266, std values: 4.698452877179027, min values: 2.4842e-07, max values: 36.982, median values: 0.18327, and quantile values: 0.25 0.051954\n0.50 0.183270\n0.75 0.789625\nName: 8283, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4317642227138365, std values: 4.839958172827661, min values: 1.9582e-06, max values: 39.199, median values: 0.21413, and quantile values: 0.25 0.061732\n0.50 0.214130\n0.75 0.830770\nName: 8284, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6923171554836476, std values: 5.09416641755269, min values: 4.1389e-06, max values: 39.681, median values: 0.31358, and quantile values: 0.25 0.085404\n0.50 0.313580\n0.75 1.059600\nName: 8285, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2961197272680505, std values: 4.560346477877613, min values: 6.1702e-07, max values: 37.727, median values: 0.16327, and quantile values: 0.25 0.045800\n0.50 0.163270\n0.75 0.714055\nName: 8286, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.469105373144654, std values: 4.665486585874236, min values: 2.1057e-06, max values: 39.048, median values: 0.20091, and quantile values: 0.25 0.068366\n0.50 0.200910\n0.75 0.937895\nName: 8287, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5100678757207548, std values: 5.123140485967407, min values: 4.6176e-06, max values: 41.39, median values: 0.21145, and quantile values: 0.25 0.063597\n0.50 0.211450\n0.75 0.843720\nName: 8288, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3938410333738993, std values: 4.760195537598697, min values: 5.0305e-07, max values: 37.886, median values: 0.21164, and quantile values: 0.25 0.062206\n0.50 0.211640\n0.75 0.841995\nName: 8289, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.600348007659497, std values: 4.7802413049844725, min values: 9.9186e-07, max values: 38.109, median values: 0.27389, and quantile values: 0.25 0.084237\n0.50 0.273890\n0.75 1.100350\nName: 8290, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.473101727061006, std values: 5.125994683675308, min values: 2.1326e-06, max values: 43.236, median values: 0.23886, and quantile values: 0.25 0.05970\n0.50 0.23886\n0.75 0.82136\nName: 8291, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2628326717918241, std values: 4.7806430777644415, min values: 1.2378e-06, max values: 38.619, median values: 0.16015, and quantile values: 0.25 0.049512\n0.50 0.160150\n0.75 0.657740\nName: 8292, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.329017077430786, std values: 4.726640169046535, min values: 2.9885e-08, max values: 38.126, median values: 0.16912, and quantile values: 0.25 0.040199\n0.50 0.169120\n0.75 0.720105\nName: 8293, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6880136211264152, std values: 5.071583902225222, min values: 2.8206e-06, max values: 39.65, median values: 0.27618, and quantile values: 0.25 0.084477\n0.50 0.276180\n0.75 1.107800\nName: 8294, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1213294824656603, std values: 4.470995478639546, min values: 4.3258e-07, max values: 37.041, median values: 0.12061, and quantile values: 0.25 0.038525\n0.50 0.120610\n0.75 0.530450\nName: 8295, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3006422123603774, std values: 4.676782475365916, min values: 2.3481e-06, max values: 39.383, median values: 0.18377, and quantile values: 0.25 0.058158\n0.50 0.183770\n0.75 0.673430\nName: 8296, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3052240065790566, std values: 4.7949583137535345, min values: 8.7647e-07, max values: 38.61, median values: 0.15778, and quantile values: 0.25 0.050423\n0.50 0.157780\n0.75 0.706945\nName: 8297, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5240111174244027, std values: 4.737021854300024, min values: 6.594e-08, max values: 37.121, median values: 0.22115, and quantile values: 0.25 0.056619\n0.50 0.221150\n0.75 0.922805\nName: 8298, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5474682571849057, std values: 5.039253144331242, min values: 4.4039e-06, max values: 39.648, median values: 0.25087, and quantile values: 0.25 0.072674\n0.50 0.250870\n0.75 0.866335\nName: 8299, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2980374648440252, std values: 4.738885060741014, min values: 1.1896e-06, max values: 39.046, median values: 0.15911, and quantile values: 0.25 0.04812\n0.50 0.15911\n0.75 0.71149\nName: 8300, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.553645901678742, std values: 5.034201181838978, min values: 9.5562e-07, max values: 41.806, median values: 0.24702, and quantile values: 0.25 0.062494\n0.50 0.247020\n0.75 0.968700\nName: 8301, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5666641923666667, std values: 4.990046881722359, min values: 1.0398e-06, max values: 39.886, median values: 0.25001, and quantile values: 0.25 0.076473\n0.50 0.250010\n0.75 1.045715\nName: 8302, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.583650281326415, std values: 4.8712069651643555, min values: 1.1735e-06, max values: 38.619, median values: 0.24707, and quantile values: 0.25 0.075968\n0.50 0.247070\n0.75 1.042600\nName: 8303, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.577747423121384, std values: 5.119464582076319, min values: 2.7839e-06, max values: 41.976, median values: 0.25658, and quantile values: 0.25 0.069546\n0.50 0.256580\n0.75 0.941850\nName: 8304, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6830080496025157, std values: 5.0528907406108505, min values: 5.3408e-06, max values: 40.899, median values: 0.27389, and quantile values: 0.25 0.073719\n0.50 0.273890\n0.75 1.073700\nName: 8305, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7449795225465408, std values: 5.093546358989643, min values: 3.2806e-06, max values: 39.408, median values: 0.32224, and quantile values: 0.25 0.080999\n0.50 0.322240\n0.75 1.262050\nName: 8306, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5257852404477987, std values: 4.931948532764019, min values: 1.6263e-06, max values: 39.0, median values: 0.21994, and quantile values: 0.25 0.062781\n0.50 0.219940\n0.75 0.961880\nName: 8307, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3796109171194337, std values: 4.833363456433983, min values: 3.1119e-07, max values: 39.423, median values: 0.16349, and quantile values: 0.25 0.045906\n0.50 0.163490\n0.75 0.785635\nName: 8308, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3314589434937107, std values: 4.895011451211865, min values: 2.1781e-06, max values: 39.398, median values: 0.18793, and quantile values: 0.25 0.057091\n0.50 0.187930\n0.75 0.681845\nName: 8309, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6299856709080502, std values: 4.732361742585467, min values: 7.0628e-07, max values: 38.06, median values: 0.27655, and quantile values: 0.25 0.070467\n0.50 0.276550\n0.75 1.192400\nName: 8310, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.574121780610063, std values: 4.877024075415151, min values: 2.0992e-06, max values: 39.156, median values: 0.26418, and quantile values: 0.25 0.078475\n0.50 0.264180\n0.75 1.004560\nName: 8311, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2513462854748427, std values: 5.0105300020640176, min values: 1.1976e-06, max values: 42.201, median values: 0.13654, and quantile values: 0.25 0.044492\n0.50 0.136540\n0.75 0.561350\nName: 8312, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.598767621772956, std values: 5.263027542446926, min values: 2.2285e-06, max values: 44.919, median values: 0.28199, and quantile values: 0.25 0.064315\n0.50 0.281990\n0.75 1.015755\nName: 8313, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2870823483840443, std values: 4.670576445341021, min values: 1.9253e-08, max values: 38.41, median values: 0.1647, and quantile values: 0.25 0.039876\n0.50 0.164700\n0.75 0.646420\nName: 8314, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3856924040144656, std values: 5.096378863389579, min values: 2.7163e-06, max values: 43.014, median values: 0.17977, and quantile values: 0.25 0.052936\n0.50 0.179770\n0.75 0.754105\nName: 8315, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6600245044559745, std values: 5.091626874398002, min values: 2.3868e-06, max values: 40.945, median values: 0.28026, and quantile values: 0.25 0.080782\n0.50 0.280260\n0.75 1.100000\nName: 8316, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.624060961654025, std values: 4.957588596899728, min values: 2.769e-08, max values: 40.792, median values: 0.29328, and quantile values: 0.25 0.060135\n0.50 0.293280\n0.75 1.246850\nName: 8317, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5793291882694969, std values: 4.885865845862757, min values: 9.4175e-07, max values: 39.054, median values: 0.27023, and quantile values: 0.25 0.069925\n0.50 0.270230\n0.75 1.051700\nName: 8318, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2388597487754718, std values: 4.609878689313095, min values: 1.7946e-06, max values: 39.126, median values: 0.15924, and quantile values: 0.25 0.055769\n0.50 0.159240\n0.75 0.645820\nName: 8319, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4494844926440253, std values: 4.89226714484661, min values: 3.6031e-06, max values: 41.004, median values: 0.24234, and quantile values: 0.25 0.072454\n0.50 0.242340\n0.75 0.818485\nName: 8320, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4475824509308177, std values: 4.915725783380006, min values: 2.5717e-06, max values: 39.264, median values: 0.22331, and quantile values: 0.25 0.066552\n0.50 0.223310\n0.75 0.896785\nName: 8321, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4334450390917357, std values: 4.684876038611279, min values: 1.2495e-08, max values: 37.718, median values: 0.16774, and quantile values: 0.25 0.03849\n0.50 0.16774\n0.75 0.78892\nName: 8322, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.748013782890566, std values: 5.19989552980823, min values: 2.3583e-06, max values: 42.108, median values: 0.3126, and quantile values: 0.25 0.091654\n0.50 0.312600\n0.75 1.194950\nName: 8323, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1451073243679246, std values: 4.429520722278254, min values: 1.317e-06, max values: 38.539, median values: 0.14402, and quantile values: 0.25 0.040843\n0.50 0.144020\n0.75 0.548640\nName: 8324, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.719157011121384, std values: 5.249806076733158, min values: 1.8115e-06, max values: 43.551, median values: 0.28469, and quantile values: 0.25 0.077068\n0.50 0.284690\n0.75 1.174700\nName: 8325, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2198944971086603, std values: 4.607895940017737, min values: 1.5877e-08, max values: 37.259, median values: 0.12469, and quantile values: 0.25 0.036743\n0.50 0.124690\n0.75 0.654305\nName: 8326, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.647078475994277, std values: 5.0877671734114935, min values: 7.2849e-07, max values: 42.624, median values: 0.29571, and quantile values: 0.25 0.074056\n0.50 0.295710\n0.75 1.129950\nName: 8327, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6316697148528299, std values: 4.861781134826623, min values: 1.0719e-06, max values: 37.916, median values: 0.30104, and quantile values: 0.25 0.085518\n0.50 0.301040\n0.75 1.118900\nName: 8328, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6876159863377356, std values: 4.886489892439817, min values: 1.7563e-06, max values: 39.253, median values: 0.28451, and quantile values: 0.25 0.079192\n0.50 0.284510\n0.75 1.223650\nName: 8329, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5462353195817609, std values: 4.7540417567956315, min values: 2.226e-06, max values: 38.836, median values: 0.24261, and quantile values: 0.25 0.069775\n0.50 0.242610\n0.75 1.018250\nName: 8330, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.335654008342767, std values: 4.739481671623956, min values: 1.5659e-06, max values: 39.159, median values: 0.16617, and quantile values: 0.25 0.057435\n0.50 0.166170\n0.75 0.735995\nName: 8331, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4679809990937107, std values: 4.705712094016138, min values: 1.8606e-06, max values: 38.393, median values: 0.22513, and quantile values: 0.25 0.064526\n0.50 0.225130\n0.75 0.937010\nName: 8332, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5307817899597485, std values: 4.822265412506744, min values: 3.1474e-06, max values: 40.018, median values: 0.25482, and quantile values: 0.25 0.076998\n0.50 0.254820\n0.75 0.943695\nName: 8333, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5251538877245283, std values: 5.0521509524496, min values: 3.285e-06, max values: 40.952, median values: 0.24303, and quantile values: 0.25 0.066488\n0.50 0.243030\n0.75 0.917250\nName: 8334, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4681353237613963, std values: 5.005310145362146, min values: 2.4072e-08, max values: 43.156, median values: 0.21091, and quantile values: 0.25 0.049691\n0.50 0.210910\n0.75 0.797985\nName: 8335, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.244856635861069, std values: 4.704016640073612, min values: 4.4221e-07, max values: 38.128, median values: 0.1359, and quantile values: 0.25 0.042216\n0.50 0.135900\n0.75 0.635815\nName: 8336, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3596976436044026, std values: 4.840908482996449, min values: 1.6339e-06, max values: 38.746, median values: 0.19704, and quantile values: 0.25 0.055612\n0.50 0.197040\n0.75 0.739075\nName: 8337, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4755371547914466, std values: 4.9481661867222595, min values: 4.1384e-07, max values: 40.541, median values: 0.21356, and quantile values: 0.25 0.049391\n0.50 0.213560\n0.75 0.857265\nName: 8338, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6842389356799372, std values: 5.000623073239156, min values: 6.3881e-07, max values: 39.378, median values: 0.26969, and quantile values: 0.25 0.070666\n0.50 0.269690\n0.75 1.175000\nName: 8339, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4898377509301886, std values: 4.893796420199152, min values: 2.2573e-06, max values: 39.389, median values: 0.2295, and quantile values: 0.25 0.070129\n0.50 0.229500\n0.75 0.930870\nName: 8340, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3645851441031447, std values: 4.929249209015464, min values: 1.0152e-06, max values: 41.27, median values: 0.19082, and quantile values: 0.25 0.051440\n0.50 0.190820\n0.75 0.747885\nName: 8341, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.627342991663522, std values: 5.307364643169823, min values: 1.5452e-06, max values: 45.906, median values: 0.24508, and quantile values: 0.25 0.070195\n0.50 0.245080\n0.75 1.086900\nName: 8342, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5877372510836478, std values: 4.872084549658291, min values: 1.4581e-06, max values: 38.432, median values: 0.27406, and quantile values: 0.25 0.068141\n0.50 0.274060\n0.75 1.089015\nName: 8343, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4589236377986163, std values: 4.831416326127586, min values: 1.8308e-07, max values: 39.564, median values: 0.2233, and quantile values: 0.25 0.056107\n0.50 0.223300\n0.75 0.859915\nName: 8344, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5310926388182393, std values: 5.201265058351395, min values: 1.5715e-06, max values: 44.935, median values: 0.25283, and quantile values: 0.25 0.075327\n0.50 0.252830\n0.75 0.897895\nName: 8345, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4955821333578427, std values: 5.066070501508098, min values: 9.1697e-08, max values: 43.401, median values: 0.19508, and quantile values: 0.25 0.051362\n0.50 0.195080\n0.75 0.906345\nName: 8346, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.166169851889371, std values: 4.424835369833626, min values: 3.1891e-07, max values: 37.241, median values: 0.14615, and quantile values: 0.25 0.044108\n0.50 0.146150\n0.75 0.596390\nName: 8347, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8195206469308176, std values: 5.043405201051381, min values: 1.3681e-06, max values: 39.123, median values: 0.33019, and quantile values: 0.25 0.091205\n0.50 0.330190\n0.75 1.344750\nName: 8348, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.587562830936478, std values: 4.859654955877962, min values: 1.8754e-06, max values: 39.196, median values: 0.2433, and quantile values: 0.25 0.080629\n0.50 0.243300\n0.75 1.008680\nName: 8349, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3507446717544656, std values: 4.713349484250272, min values: 1.5526e-07, max values: 37.569, median values: 0.22122, and quantile values: 0.25 0.050987\n0.50 0.221220\n0.75 0.794675\nName: 8350, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4994422809972954, std values: 4.889357915589964, min values: 4.2877e-07, max values: 39.937, median values: 0.17518, and quantile values: 0.25 0.059041\n0.50 0.175180\n0.75 0.894580\nName: 8351, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3719494438930817, std values: 5.050340706786357, min values: 5.0406e-06, max values: 41.988, median values: 0.17778, and quantile values: 0.25 0.05092\n0.50 0.17778\n0.75 0.65173\nName: 8352, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6851599369691823, std values: 5.152360211882231, min values: 1.8229e-06, max values: 41.135, median values: 0.23325, and quantile values: 0.25 0.056966\n0.50 0.233250\n0.75 1.085900\nName: 8353, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6117268189486798, std values: 5.084645784955027, min values: 8.3254e-07, max values: 42.591, median values: 0.26767, and quantile values: 0.25 0.069012\n0.50 0.267670\n0.75 1.061300\nName: 8354, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4533028914376727, std values: 4.903656548852403, min values: 7.2879e-07, max values: 39.479, median values: 0.1931, and quantile values: 0.25 0.062379\n0.50 0.193100\n0.75 0.825135\nName: 8355, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4824727208849056, std values: 5.179399931327739, min values: 2.9214e-06, max values: 42.921, median values: 0.22778, and quantile values: 0.25 0.074144\n0.50 0.227780\n0.75 0.851685\nName: 8356, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5246831341037737, std values: 4.906900998237455, min values: 3.0605e-06, max values: 40.669, median values: 0.2226, and quantile values: 0.25 0.070412\n0.50 0.222600\n0.75 0.894915\nName: 8357, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.261316030464214, std values: 4.651595281037555, min values: 8.0591e-07, max values: 38.619, median values: 0.1533, and quantile values: 0.25 0.047565\n0.50 0.153300\n0.75 0.664045\nName: 8358, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5447083543301887, std values: 4.96815967523633, min values: 1.6384e-06, max values: 39.683, median values: 0.22433, and quantile values: 0.25 0.070097\n0.50 0.224330\n0.75 0.982280\nName: 8359, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2360272093042137, std values: 4.772737911499216, min values: 1.5552e-07, max values: 40.153, median values: 0.12834, and quantile values: 0.25 0.03570\n0.50 0.12834\n0.75 0.58754\nName: 8360, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4736536742748427, std values: 5.024159341855908, min values: 3.2644e-06, max values: 40.581, median values: 0.22143, and quantile values: 0.25 0.062865\n0.50 0.221430\n0.75 0.861120\nName: 8361, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.441343927962893, std values: 4.556591584900362, min values: 2.7765e-06, max values: 39.279, median values: 0.22086, and quantile values: 0.25 0.070375\n0.50 0.220860\n0.75 0.915975\nName: 8362, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3787953302767293, std values: 5.028148501374747, min values: 2.218e-06, max values: 41.283, median values: 0.16817, and quantile values: 0.25 0.057618\n0.50 0.168170\n0.75 0.729235\nName: 8363, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.466910476480503, std values: 5.0507366072823485, min values: 1.6795e-06, max values: 41.595, median values: 0.22803, and quantile values: 0.25 0.063586\n0.50 0.228030\n0.75 0.884225\nName: 8364, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3099323356842767, std values: 4.8073081130573545, min values: 1.3928e-06, max values: 39.338, median values: 0.15024, and quantile values: 0.25 0.041327\n0.50 0.150240\n0.75 0.691390\nName: 8365, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9635265842386163, std values: 5.116558712497771, min values: 8.4314e-07, max values: 37.905, median values: 0.37012, and quantile values: 0.25 0.099829\n0.50 0.370120\n0.75 1.359400\nName: 8366, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5838589143157233, std values: 5.02808659418601, min values: 1.6636e-06, max values: 40.92, median values: 0.24985, and quantile values: 0.25 0.075450\n0.50 0.249850\n0.75 0.954425\nName: 8367, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5161393044049685, std values: 4.837761490852721, min values: 7.4419e-07, max values: 38.175, median values: 0.21731, and quantile values: 0.25 0.062256\n0.50 0.217310\n0.75 0.979780\nName: 8368, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4101258960783019, std values: 4.851840826045038, min values: 5.9975e-07, max values: 39.056, median values: 0.21411, and quantile values: 0.25 0.057478\n0.50 0.214110\n0.75 0.810010\nName: 8369, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5029366256389936, std values: 4.821504331962386, min values: 4.55e-06, max values: 40.316, median values: 0.25418, and quantile values: 0.25 0.070719\n0.50 0.254180\n0.75 0.909155\nName: 8370, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6247975686335219, std values: 5.116175640116418, min values: 1.9333e-07, max values: 43.645, median values: 0.25628, and quantile values: 0.25 0.061492\n0.50 0.256280\n0.75 1.058300\nName: 8371, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1872605866637107, std values: 4.740040959916137, min values: 4.9024e-07, max values: 39.375, median values: 0.1192, and quantile values: 0.25 0.041231\n0.50 0.119200\n0.75 0.553445\nName: 8372, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5553927050955976, std values: 5.331719253848432, min values: 1.5595e-06, max values: 46.422, median values: 0.24338, and quantile values: 0.25 0.064167\n0.50 0.243380\n0.75 0.917200\nName: 8373, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6709623330572327, std values: 4.949220878895393, min values: 4.5895e-06, max values: 40.044, median values: 0.27956, and quantile values: 0.25 0.08097\n0.50 0.27956\n0.75 1.05590\nName: 8374, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6557817237654089, std values: 5.111854699244017, min values: 4.8739e-06, max values: 40.033, median values: 0.27052, and quantile values: 0.25 0.083242\n0.50 0.270520\n0.75 1.016450\nName: 8375, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5780180270748427, std values: 5.182007772679266, min values: 2.8729e-06, max values: 42.582, median values: 0.25995, and quantile values: 0.25 0.079553\n0.50 0.259950\n0.75 0.906250\nName: 8376, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3414383197432076, std values: 4.6912748400806965, min values: 7.9307e-07, max values: 37.509, median values: 0.17527, and quantile values: 0.25 0.052115\n0.50 0.175270\n0.75 0.776785\nName: 8377, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.602390590261635, std values: 4.962002433102237, min values: 1.4899e-06, max values: 39.476, median values: 0.26495, and quantile values: 0.25 0.075147\n0.50 0.264950\n0.75 1.079200\nName: 8378, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.225781739333522, std values: 4.512510147211633, min values: 5.9587e-07, max values: 36.881, median values: 0.13455, and quantile values: 0.25 0.045906\n0.50 0.134550\n0.75 0.658915\nName: 8379, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.602688297061635, std values: 5.11856183270014, min values: 4.6585e-06, max values: 40.718, median values: 0.27451, and quantile values: 0.25 0.072855\n0.50 0.274510\n0.75 0.888960\nName: 8380, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4004351746261194, std values: 4.8326842127482665, min values: 7.0293e-08, max values: 40.024, median values: 0.19772, and quantile values: 0.25 0.051950\n0.50 0.197720\n0.75 0.846475\nName: 8381, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5646518853365095, std values: 5.099669334651942, min values: 9.8765e-08, max values: 43.992, median values: 0.22806, and quantile values: 0.25 0.059121\n0.50 0.228060\n0.75 1.046100\nName: 8382, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3642404009079245, std values: 4.557086510304303, min values: 5.6134e-07, max values: 36.689, median values: 0.18237, and quantile values: 0.25 0.056939\n0.50 0.182370\n0.75 0.735540\nName: 8383, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4564582879583017, std values: 4.8129002846906666, min values: 3.6519e-07, max values: 39.12, median values: 0.23699, and quantile values: 0.25 0.054754\n0.50 0.236990\n0.75 0.848465\nName: 8384, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6673105051194967, std values: 5.105246373136379, min values: 1.0674e-06, max values: 42.158, median values: 0.28019, and quantile values: 0.25 0.066866\n0.50 0.280190\n0.75 1.147650\nName: 8385, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.344474091568742, std values: 4.77134130476408, min values: 1.8273e-07, max values: 38.565, median values: 0.1891, and quantile values: 0.25 0.045654\n0.50 0.189100\n0.75 0.732930\nName: 8386, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.389720200366541, std values: 4.579288690502326, min values: 5.3038e-07, max values: 38.35, median values: 0.21368, and quantile values: 0.25 0.067447\n0.50 0.213680\n0.75 0.868630\nName: 8387, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7192989213157233, std values: 5.350456728693012, min values: 3.1138e-06, max values: 45.227, median values: 0.32849, and quantile values: 0.25 0.083276\n0.50 0.328490\n0.75 1.128800\nName: 8388, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.44577665667044, std values: 5.0815527291656615, min values: 1.2838e-06, max values: 43.131, median values: 0.23316, and quantile values: 0.25 0.057801\n0.50 0.233160\n0.75 0.820080\nName: 8389, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.209661857754654, std values: 4.8301171664418225, min values: 3.474e-07, max values: 40.744, median values: 0.13531, and quantile values: 0.25 0.042891\n0.50 0.135310\n0.75 0.580150\nName: 8390, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4149359991753458, std values: 4.839012903191072, min values: 4.8748e-07, max values: 39.158, median values: 0.19667, and quantile values: 0.25 0.060083\n0.50 0.196670\n0.75 0.842540\nName: 8391, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.522042005070629, std values: 4.97848815167783, min values: 7.0573e-07, max values: 40.376, median values: 0.25657, and quantile values: 0.25 0.062354\n0.50 0.256570\n0.75 0.972550\nName: 8392, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4280299037461635, std values: 4.695250535611682, min values: 5.5084e-07, max values: 37.843, median values: 0.21485, and quantile values: 0.25 0.062121\n0.50 0.214850\n0.75 0.850460\nName: 8393, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3738550775496856, std values: 4.991076512017147, min values: 3.6719e-06, max values: 40.253, median values: 0.21563, and quantile values: 0.25 0.059277\n0.50 0.215630\n0.75 0.729940\nName: 8394, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4832683995854088, std values: 4.915198083705886, min values: 7.6328e-07, max values: 39.88, median values: 0.25785, and quantile values: 0.25 0.060059\n0.50 0.257850\n0.75 0.919245\nName: 8395, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4451043486163522, std values: 4.979628033772218, min values: 1.4005e-06, max values: 41.203, median values: 0.20722, and quantile values: 0.25 0.060831\n0.50 0.207220\n0.75 0.870365\nName: 8396, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3031186875037735, std values: 4.716471376584637, min values: 2.6187e-06, max values: 39.592, median values: 0.18191, and quantile values: 0.25 0.05348\n0.50 0.18191\n0.75 0.68050\nName: 8397, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6981724935316982, std values: 5.292891401811568, min values: 9.1464e-07, max values: 44.64, median values: 0.24339, and quantile values: 0.25 0.063098\n0.50 0.243390\n0.75 1.076550\nName: 8398, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5776451743484277, std values: 5.32405708425473, min values: 3.5415e-06, max values: 44.45, median values: 0.22155, and quantile values: 0.25 0.073961\n0.50 0.221550\n0.75 0.923375\nName: 8399, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4088320104427672, std values: 4.7854157201522245, min values: 1.6494e-06, max values: 38.912, median values: 0.20977, and quantile values: 0.25 0.058050\n0.50 0.209770\n0.75 0.900095\nName: 8400, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5836830402955975, std values: 4.952754552216068, min values: 1.3653e-06, max values: 39.349, median values: 0.22573, and quantile values: 0.25 0.070563\n0.50 0.225730\n0.75 1.003940\nName: 8401, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.574437099410063, std values: 4.876565066319521, min values: 4.23e-06, max values: 39.79, median values: 0.25166, and quantile values: 0.25 0.077787\n0.50 0.251660\n0.75 0.995095\nName: 8402, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5641694590509432, std values: 4.963590997887614, min values: 4.2607e-06, max values: 39.477, median values: 0.26227, and quantile values: 0.25 0.084416\n0.50 0.262270\n0.75 0.951735\nName: 8403, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4342698892773584, std values: 4.854768147343565, min values: 4.243e-07, max values: 39.418, median values: 0.23748, and quantile values: 0.25 0.057525\n0.50 0.237480\n0.75 0.875440\nName: 8404, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4014989665522009, std values: 4.686987738125658, min values: 8.167e-07, max values: 39.069, median values: 0.19419, and quantile values: 0.25 0.063713\n0.50 0.194190\n0.75 0.864710\nName: 8405, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.383031435704132, std values: 4.810483691372908, min values: 2.4197e-08, max values: 40.292, median values: 0.17626, and quantile values: 0.25 0.043426\n0.50 0.176260\n0.75 0.745835\nName: 8406, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1757155081653774, std values: 4.474362322121553, min values: 2.6225e-08, max values: 37.321, median values: 0.14173, and quantile values: 0.25 0.041433\n0.50 0.141730\n0.75 0.642335\nName: 8407, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.585642563109434, std values: 4.987349476443986, min values: 1.314e-06, max values: 39.258, median values: 0.26233, and quantile values: 0.25 0.073311\n0.50 0.262330\n0.75 1.029915\nName: 8408, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7482947082155347, std values: 4.92467164647047, min values: 8.7657e-07, max values: 37.715, median values: 0.30899, and quantile values: 0.25 0.082592\n0.50 0.308990\n0.75 1.304800\nName: 8409, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4974773500691825, std values: 4.851084638480237, min values: 2.2316e-06, max values: 38.278, median values: 0.24737, and quantile values: 0.25 0.081346\n0.50 0.247370\n0.75 0.933835\nName: 8410, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4634803446276916, std values: 5.117349521422174, min values: 2.1363e-08, max values: 44.609, median values: 0.18351, and quantile values: 0.25 0.045753\n0.50 0.183510\n0.75 0.829025\nName: 8411, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5767394800562642, std values: 5.165413205469326, min values: 3.1076e-08, max values: 45.387, median values: 0.20161, and quantile values: 0.25 0.055139\n0.50 0.201610\n0.75 1.016020\nName: 8412, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3208079947119498, std values: 4.852013077638697, min values: 1.4716e-06, max values: 39.018, median values: 0.17997, and quantile values: 0.25 0.058251\n0.50 0.179970\n0.75 0.752930\nName: 8413, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3097876968183648, std values: 4.579596483206044, min values: 1.2182e-07, max values: 37.883, median values: 0.16775, and quantile values: 0.25 0.049982\n0.50 0.167750\n0.75 0.749055\nName: 8414, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.830227725671069, std values: 5.325739927190024, min values: 7.0147e-06, max values: 41.304, median values: 0.30167, and quantile values: 0.25 0.079926\n0.50 0.301670\n0.75 1.166250\nName: 8415, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5619031811572328, std values: 5.10107302099656, min values: 1.1441e-06, max values: 42.375, median values: 0.24999, and quantile values: 0.25 0.064068\n0.50 0.249990\n0.75 0.940825\nName: 8416, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.36460202013478, std values: 4.741645840759673, min values: 2.1778e-07, max values: 38.344, median values: 0.19189, and quantile values: 0.25 0.04798\n0.50 0.19189\n0.75 0.79618\nName: 8417, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.395786886549434, std values: 4.632766593374534, min values: 2.3456e-07, max values: 37.102, median values: 0.21469, and quantile values: 0.25 0.050462\n0.50 0.214690\n0.75 0.877705\nName: 8418, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5508708284301886, std values: 4.908985087345017, min values: 1.1414e-06, max values: 39.514, median values: 0.25265, and quantile values: 0.25 0.068580\n0.50 0.252650\n0.75 1.011945\nName: 8419, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4385062832748428, std values: 4.752091535484292, min values: 4.608e-07, max values: 38.213, median values: 0.20066, and quantile values: 0.25 0.057226\n0.50 0.200660\n0.75 0.942395\nName: 8420, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.539413303389937, std values: 4.862433884464284, min values: 3.773e-07, max values: 38.309, median values: 0.24883, and quantile values: 0.25 0.058766\n0.50 0.248830\n0.75 0.985895\nName: 8421, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5531989694761006, std values: 4.929899222272238, min values: 4.293e-06, max values: 40.059, median values: 0.26991, and quantile values: 0.25 0.069135\n0.50 0.269910\n0.75 0.942055\nName: 8422, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3694317451597484, std values: 4.822109854095527, min values: 2.3018e-06, max values: 39.583, median values: 0.20731, and quantile values: 0.25 0.057121\n0.50 0.207310\n0.75 0.783710\nName: 8423, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4825880815981132, std values: 4.719128224775225, min values: 2.3606e-06, max values: 39.89, median values: 0.22454, and quantile values: 0.25 0.071224\n0.50 0.224540\n0.75 0.884660\nName: 8424, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6737641704477983, std values: 5.2067958929632665, min values: 6.1012e-06, max values: 41.274, median values: 0.2707, and quantile values: 0.25 0.081855\n0.50 0.270700\n0.75 0.987570\nName: 8425, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5189899876174215, std values: 4.871910302178625, min values: 5.9687e-07, max values: 38.98, median values: 0.24416, and quantile values: 0.25 0.063872\n0.50 0.244160\n0.75 0.957215\nName: 8426, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.377590420693459, std values: 4.68507628461128, min values: 2.281e-08, max values: 37.452, median values: 0.18953, and quantile values: 0.25 0.043381\n0.50 0.189530\n0.75 0.874920\nName: 8427, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7206834739700125, std values: 5.070773034180573, min values: 2.2532e-08, max values: 41.134, median values: 0.22757, and quantile values: 0.25 0.057194\n0.50 0.227570\n0.75 1.151400\nName: 8428, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9735166232496852, std values: 5.463383930601924, min values: 6.5447e-06, max values: 41.311, median values: 0.37533, and quantile values: 0.25 0.098514\n0.50 0.375330\n0.75 1.282050\nName: 8429, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5639243986698115, std values: 5.540753025877103, min values: 3.2817e-06, max values: 48.715, median values: 0.2375, and quantile values: 0.25 0.057100\n0.50 0.237500\n0.75 0.894035\nName: 8430, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2925236985665407, std values: 4.787105172110349, min values: 3.4558e-07, max values: 38.501, median values: 0.19332, and quantile values: 0.25 0.046740\n0.50 0.193320\n0.75 0.723515\nName: 8431, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3535667693642137, std values: 4.922610582326916, min values: 0.0, max values: 41.339, median values: 0.16593, and quantile values: 0.25 0.051826\n0.50 0.165930\n0.75 0.741455\nName: 8432, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7157197463905658, std values: 5.0766411993247305, min values: 4.1948e-06, max values: 40.121, median values: 0.26593, and quantile values: 0.25 0.089207\n0.50 0.265930\n0.75 1.125550\nName: 8433, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.582773492282981, std values: 5.358090448042379, min values: 1.9494e-08, max values: 47.907, median values: 0.2316, and quantile values: 0.25 0.054901\n0.50 0.231600\n0.75 0.956970\nName: 8434, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3520845719861763, std values: 4.835404231301797, min values: 2.7382e-08, max values: 40.443, median values: 0.17389, and quantile values: 0.25 0.042181\n0.50 0.173890\n0.75 0.674355\nName: 8435, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6338012096179875, std values: 5.249713080644919, min values: 5.3246e-07, max values: 45.302, median values: 0.24448, and quantile values: 0.25 0.068857\n0.50 0.244480\n0.75 1.040950\nName: 8436, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4022973359069182, std values: 4.866222093827944, min values: 1.779e-06, max values: 38.797, median values: 0.22092, and quantile values: 0.25 0.060844\n0.50 0.220920\n0.75 0.828175\nName: 8437, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4754768845446542, std values: 4.839441464369784, min values: 1.4582e-06, max values: 38.626, median values: 0.24373, and quantile values: 0.25 0.06426\n0.50 0.24373\n0.75 0.91258\nName: 8438, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4174302532679246, std values: 4.606858263715236, min values: 1.694e-07, max values: 36.535, median values: 0.1837, and quantile values: 0.25 0.046225\n0.50 0.183700\n0.75 0.764565\nName: 8439, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6184070169349056, std values: 4.966312244636562, min values: 6.7035e-07, max values: 40.018, median values: 0.25459, and quantile values: 0.25 0.069761\n0.50 0.254590\n0.75 1.055200\nName: 8440, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3715813302786164, std values: 5.018664510411726, min values: 2.6583e-06, max values: 40.746, median values: 0.18498, and quantile values: 0.25 0.04951\n0.50 0.18498\n0.75 0.72059\nName: 8441, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4492544974767294, std values: 4.752437224239196, min values: 2.6959e-06, max values: 39.277, median values: 0.23428, and quantile values: 0.25 0.070997\n0.50 0.234280\n0.75 0.861770\nName: 8442, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3999995593250314, std values: 4.763480283563119, min values: 8.4558e-07, max values: 38.065, median values: 0.23076, and quantile values: 0.25 0.058088\n0.50 0.230760\n0.75 0.825360\nName: 8443, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5568682863044023, std values: 5.016695880929281, min values: 1.2591e-06, max values: 41.219, median values: 0.26036, and quantile values: 0.25 0.068599\n0.50 0.260360\n0.75 0.977405\nName: 8444, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5532648078955973, std values: 5.0029306458981715, min values: 2.9425e-06, max values: 39.671, median values: 0.27041, and quantile values: 0.25 0.070428\n0.50 0.270410\n0.75 0.971945\nName: 8445, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5010845797490566, std values: 5.2489390718320585, min values: 3.2727e-06, max values: 44.642, median values: 0.226, and quantile values: 0.25 0.065924\n0.50 0.226000\n0.75 0.849880\nName: 8446, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4736046558616351, std values: 5.229443751821668, min values: 1.2114e-06, max values: 45.492, median values: 0.19487, and quantile values: 0.25 0.057855\n0.50 0.194870\n0.75 0.878185\nName: 8447, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.306739600725786, std values: 4.653400436110183, min values: 1.1193e-06, max values: 38.048, median values: 0.18039, and quantile values: 0.25 0.061535\n0.50 0.180390\n0.75 0.726150\nName: 8448, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.269289456027673, std values: 4.754804551869899, min values: 4.99e-09, max values: 38.341, median values: 0.14958, and quantile values: 0.25 0.044938\n0.50 0.149580\n0.75 0.656310\nName: 8449, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4404225732836478, std values: 5.070763420416322, min values: 3.179e-06, max values: 42.1, median values: 0.21184, and quantile values: 0.25 0.063532\n0.50 0.211840\n0.75 0.809160\nName: 8450, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4338578078584905, std values: 5.001046070266504, min values: 2.3384e-06, max values: 41.176, median values: 0.21096, and quantile values: 0.25 0.059897\n0.50 0.210960\n0.75 0.861000\nName: 8451, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.363406579625283, std values: 4.621542790182607, min values: 8.6212e-07, max values: 37.272, median values: 0.19622, and quantile values: 0.25 0.062842\n0.50 0.196220\n0.75 0.859365\nName: 8452, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.40453160477522, std values: 4.710989758712331, min values: 1.6206e-07, max values: 37.769, median values: 0.20139, and quantile values: 0.25 0.05220\n0.50 0.20139\n0.75 0.87605\nName: 8453, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4295980261856855, std values: 4.844904027498327, min values: 2.6304e-08, max values: 40.172, median values: 0.19343, and quantile values: 0.25 0.044803\n0.50 0.193430\n0.75 0.885715\nName: 8454, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5358243866361005, std values: 4.958678707107981, min values: 5.6544e-07, max values: 40.915, median values: 0.20947, and quantile values: 0.25 0.064384\n0.50 0.209470\n0.75 0.916965\nName: 8455, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4971254422496856, std values: 4.942097378337428, min values: 3.5156e-06, max values: 40.223, median values: 0.23609, and quantile values: 0.25 0.072022\n0.50 0.236090\n0.75 0.870690\nName: 8456, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.740353254724528, std values: 5.855905619693292, min values: 1.3447e-06, max values: 55.06, median values: 0.25758, and quantile values: 0.25 0.078162\n0.50 0.257580\n0.75 1.110725\nName: 8457, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5645756044477988, std values: 4.941644800449755, min values: 2.5455e-06, max values: 39.009, median values: 0.25827, and quantile values: 0.25 0.072792\n0.50 0.258270\n0.75 0.973215\nName: 8458, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3879549199402514, std values: 4.771144014776177, min values: 3.6342e-06, max values: 40.654, median values: 0.20918, and quantile values: 0.25 0.061403\n0.50 0.209180\n0.75 0.757580\nName: 8459, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5436510312044027, std values: 4.970549657124947, min values: 1.8508e-06, max values: 39.512, median values: 0.22934, and quantile values: 0.25 0.070039\n0.50 0.229340\n0.75 0.977200\nName: 8460, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.43514354201105, std values: 4.794634672900581, min values: 2.5877e-08, max values: 39.16, median values: 0.18806, and quantile values: 0.25 0.042717\n0.50 0.188060\n0.75 0.830090\nName: 8461, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4511627913660377, std values: 4.928900539289683, min values: 3.1746e-06, max values: 40.257, median values: 0.20568, and quantile values: 0.25 0.061299\n0.50 0.205680\n0.75 0.855295\nName: 8462, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5006542564040253, std values: 4.884520079969149, min values: 1.0411e-07, max values: 40.397, median values: 0.23165, and quantile values: 0.25 0.053335\n0.50 0.231650\n0.75 0.902920\nName: 8463, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5979060925621384, std values: 5.086480111619258, min values: 6.9108e-07, max values: 42.396, median values: 0.2395, and quantile values: 0.25 0.06983\n0.50 0.23950\n0.75 1.00481\nName: 8464, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6245409706974845, std values: 5.000982482559873, min values: 1.317e-06, max values: 39.744, median values: 0.25924, and quantile values: 0.25 0.076746\n0.50 0.259240\n0.75 1.035485\nName: 8465, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5875550726899372, std values: 4.817180496926183, min values: 3.6294e-06, max values: 39.147, median values: 0.28388, and quantile values: 0.25 0.075098\n0.50 0.283880\n0.75 1.082600\nName: 8466, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3826095714484905, std values: 4.631957221245151, min values: 4.3021e-07, max values: 37.289, median values: 0.19353, and quantile values: 0.25 0.054746\n0.50 0.193530\n0.75 0.828335\nName: 8467, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5390294599044023, std values: 5.102371219402572, min values: 1.4147e-06, max values: 42.742, median values: 0.22762, and quantile values: 0.25 0.064613\n0.50 0.227620\n0.75 0.919345\nName: 8468, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6184498422289306, std values: 4.949942611312456, min values: 1.6545e-06, max values: 39.107, median values: 0.26179, and quantile values: 0.25 0.07233\n0.50 0.26179\n0.75 1.10810\nName: 8469, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.407427686758239, std values: 4.699387570847502, min values: 4.8436e-07, max values: 38.241, median values: 0.20576, and quantile values: 0.25 0.058904\n0.50 0.205760\n0.75 0.871355\nName: 8470, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3623227480616351, std values: 4.794120808165164, min values: 1.104e-06, max values: 38.582, median values: 0.20748, and quantile values: 0.25 0.058824\n0.50 0.207480\n0.75 0.763695\nName: 8471, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2546185820687423, std values: 4.946709105779779, min values: 3.7898e-07, max values: 43.412, median values: 0.12602, and quantile values: 0.25 0.043011\n0.50 0.126020\n0.75 0.611245\nName: 8472, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2215882200873587, std values: 4.604310293510662, min values: 1.5423e-07, max values: 37.08, median values: 0.1512, and quantile values: 0.25 0.047357\n0.50 0.151200\n0.75 0.615740\nName: 8473, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6064215195759812, std values: 4.81512796954504, min values: 4.7081e-08, max values: 37.306, median values: 0.24097, and quantile values: 0.25 0.067197\n0.50 0.240970\n0.75 1.120000\nName: 8474, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.627892877008176, std values: 5.1247006850351, min values: 3.7035e-06, max values: 40.443, median values: 0.29226, and quantile values: 0.25 0.073389\n0.50 0.292260\n0.75 0.985620\nName: 8475, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7704570067561634, std values: 5.666771352744688, min values: 6.4613e-07, max values: 52.073, median values: 0.27444, and quantile values: 0.25 0.071523\n0.50 0.274440\n0.75 1.159700\nName: 8476, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.355253545816849, std values: 4.798526376790837, min values: 2.5019e-08, max values: 39.937, median values: 0.17936, and quantile values: 0.25 0.038576\n0.50 0.179360\n0.75 0.732000\nName: 8477, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3055834292522013, std values: 4.995230029688958, min values: 4.9001e-06, max values: 41.362, median values: 0.15037, and quantile values: 0.25 0.050873\n0.50 0.150370\n0.75 0.595920\nName: 8478, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3711286012061636, std values: 4.805099928960858, min values: 4.8898e-07, max values: 39.158, median values: 0.19004, and quantile values: 0.25 0.054474\n0.50 0.190040\n0.75 0.755485\nName: 8479, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4648050509031447, std values: 5.042280180733749, min values: 3.8814e-06, max values: 40.701, median values: 0.21676, and quantile values: 0.25 0.056710\n0.50 0.216760\n0.75 0.804425\nName: 8480, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5977484542440252, std values: 4.856046292109369, min values: 4.617e-07, max values: 37.977, median values: 0.2415, and quantile values: 0.25 0.06283\n0.50 0.24150\n0.75 1.07965\nName: 8481, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.42847725394239, std values: 4.655248338932177, min values: 1.0284e-07, max values: 37.075, median values: 0.20832, and quantile values: 0.25 0.05415\n0.50 0.20832\n0.75 0.90234\nName: 8482, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6047054306276731, std values: 5.190264383127893, min values: 4.5455e-06, max values: 41.566, median values: 0.27492, and quantile values: 0.25 0.081812\n0.50 0.274920\n0.75 0.916255\nName: 8483, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.465481602820629, std values: 4.908038113793517, min values: 6.0288e-07, max values: 39.849, median values: 0.23596, and quantile values: 0.25 0.064885\n0.50 0.235960\n0.75 0.902540\nName: 8484, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5719573341918238, std values: 5.222483886935284, min values: 2.6961e-06, max values: 43.736, median values: 0.25965, and quantile values: 0.25 0.066612\n0.50 0.259650\n0.75 0.989360\nName: 8485, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4432157230509435, std values: 4.898805820739451, min values: 1.6568e-06, max values: 39.011, median values: 0.22537, and quantile values: 0.25 0.062443\n0.50 0.225370\n0.75 0.842730\nName: 8486, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6252615962276726, std values: 4.989219470047252, min values: 5.82e-06, max values: 40.277, median values: 0.28478, and quantile values: 0.25 0.087944\n0.50 0.284780\n0.75 0.995400\nName: 8487, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7762044370996857, std values: 5.3198093253842735, min values: 6.7055e-07, max values: 45.185, median values: 0.22095, and quantile values: 0.25 0.060187\n0.50 0.220950\n0.75 1.129850\nName: 8488, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5595427517179246, std values: 4.937392265620512, min values: 7.8755e-07, max values: 39.658, median values: 0.24073, and quantile values: 0.25 0.062251\n0.50 0.240730\n0.75 1.001765\nName: 8489, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5558940052482393, std values: 4.992697006687989, min values: 7.7517e-07, max values: 40.932, median values: 0.26026, and quantile values: 0.25 0.064672\n0.50 0.260260\n0.75 0.980345\nName: 8490, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.543377727461006, std values: 5.1222553131132464, min values: 1.2329e-06, max values: 43.554, median values: 0.20855, and quantile values: 0.25 0.065348\n0.50 0.208550\n0.75 0.880935\nName: 8491, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5383565837011381, std values: 4.963633072770875, min values: 2.8578e-08, max values: 42.105, median values: 0.1955, and quantile values: 0.25 0.043809\n0.50 0.195500\n0.75 0.905580\nName: 8492, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3715323191449058, std values: 4.660161679150899, min values: 8.0934e-07, max values: 38.401, median values: 0.20382, and quantile values: 0.25 0.055153\n0.50 0.203820\n0.75 0.823540\nName: 8493, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3944784484422892, std values: 4.970566276653602, min values: 2.0204e-08, max values: 42.765, median values: 0.1858, and quantile values: 0.25 0.048058\n0.50 0.185800\n0.75 0.763825\nName: 8494, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7427918443698114, std values: 5.230295481095157, min values: 1.8406e-06, max values: 43.384, median values: 0.27307, and quantile values: 0.25 0.079518\n0.50 0.273070\n0.75 1.278600\nName: 8495, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3645856526264781, std values: 4.825224081266083, min values: 9.3491e-07, max values: 38.858, median values: 0.19659, and quantile values: 0.25 0.049679\n0.50 0.196590\n0.75 0.748325\nName: 8496, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.620591064898113, std values: 5.157294765839089, min values: 2.5241e-06, max values: 42.733, median values: 0.26776, and quantile values: 0.25 0.074007\n0.50 0.267760\n0.75 1.074100\nName: 8497, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4614861221378617, std values: 5.054851115572024, min values: 7.3382e-07, max values: 42.12, median values: 0.19534, and quantile values: 0.25 0.054959\n0.50 0.195340\n0.75 0.877070\nName: 8498, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4859114615477984, std values: 4.961205208232872, min values: 1.7485e-06, max values: 39.93, median values: 0.21944, and quantile values: 0.25 0.062962\n0.50 0.219440\n0.75 0.901840\nName: 8499, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.415895336638805, std values: 4.813494108673174, min values: 1.8897e-07, max values: 38.934, median values: 0.20657, and quantile values: 0.25 0.053234\n0.50 0.206570\n0.75 0.787090\nName: 8500, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.456746767336478, std values: 4.8534429069805824, min values: 2.9677e-06, max values: 40.133, median values: 0.22116, and quantile values: 0.25 0.065284\n0.50 0.221160\n0.75 0.838280\nName: 8501, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4806984789823898, std values: 4.8256829818609726, min values: 5.784e-07, max values: 38.309, median values: 0.23809, and quantile values: 0.25 0.061566\n0.50 0.238090\n0.75 0.929775\nName: 8502, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4411685932362894, std values: 4.809723509892042, min values: 8.5077e-07, max values: 38.712, median values: 0.2134, and quantile values: 0.25 0.05825\n0.50 0.21340\n0.75 0.91637\nName: 8503, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3392451637750693, std values: 4.677989303526438, min values: 3.7476e-08, max values: 37.181, median values: 0.17895, and quantile values: 0.25 0.050771\n0.50 0.178950\n0.75 0.731645\nName: 8504, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5401823192272959, std values: 5.036663298747698, min values: 1.7456e-07, max values: 42.709, median values: 0.20181, and quantile values: 0.25 0.055165\n0.50 0.201810\n0.75 0.969670\nName: 8505, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4405610223930818, std values: 5.045026854473847, min values: 2.9106e-06, max values: 41.388, median values: 0.20253, and quantile values: 0.25 0.054122\n0.50 0.202530\n0.75 0.813485\nName: 8506, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5706562748603774, std values: 4.906785429260489, min values: 1.9359e-06, max values: 38.837, median values: 0.25962, and quantile values: 0.25 0.071243\n0.50 0.259620\n0.75 1.002495\nName: 8507, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4671441496074844, std values: 4.818283280409113, min values: 8.2139e-07, max values: 38.069, median values: 0.2309, and quantile values: 0.25 0.063533\n0.50 0.230900\n0.75 0.932530\nName: 8508, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6696899997849055, std values: 5.11724954169707, min values: 2.4426e-06, max values: 40.249, median values: 0.302, and quantile values: 0.25 0.071752\n0.50 0.302000\n0.75 1.122170\nName: 8509, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3637397205786164, std values: 4.896558873381752, min values: 4.614e-07, max values: 41.212, median values: 0.18427, and quantile values: 0.25 0.04643\n0.50 0.18427\n0.75 0.70667\nName: 8510, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4564429554132077, std values: 4.8913759644158885, min values: 3.3669e-06, max values: 40.633, median values: 0.20846, and quantile values: 0.25 0.061442\n0.50 0.208460\n0.75 0.764920\nName: 8511, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7645971393767297, std values: 5.121407253927205, min values: 3.9196e-06, max values: 39.775, median values: 0.30916, and quantile values: 0.25 0.087922\n0.50 0.309160\n0.75 1.222250\nName: 8512, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6802809107849686, std values: 5.116683134619375, min values: 2.6171e-07, max values: 41.692, median values: 0.24683, and quantile values: 0.25 0.060027\n0.50 0.246830\n0.75 1.085850\nName: 8513, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4448192748773585, std values: 5.141217597423839, min values: 2.324e-06, max values: 42.454, median values: 0.23211, and quantile values: 0.25 0.060383\n0.50 0.232110\n0.75 0.802195\nName: 8514, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.326915625734717, std values: 4.687229540215405, min values: 5.1232e-07, max values: 38.012, median values: 0.20582, and quantile values: 0.25 0.056697\n0.50 0.205820\n0.75 0.702485\nName: 8515, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.448014178545912, std values: 4.852173935460847, min values: 2.842e-06, max values: 39.095, median values: 0.21837, and quantile values: 0.25 0.064958\n0.50 0.218370\n0.75 0.884550\nName: 8516, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3398966326555977, std values: 4.952398542586581, min values: 7.3694e-07, max values: 41.193, median values: 0.16597, and quantile values: 0.25 0.046004\n0.50 0.165970\n0.75 0.741835\nName: 8517, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.716949376278616, std values: 5.226846209309518, min values: 4.9088e-06, max values: 40.858, median values: 0.29668, and quantile values: 0.25 0.07370\n0.50 0.29668\n0.75 1.07050\nName: 8518, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3761751616400628, std values: 4.894638620684254, min values: 5.3667e-07, max values: 40.758, median values: 0.194, and quantile values: 0.25 0.049409\n0.50 0.194000\n0.75 0.798220\nName: 8519, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3124390420755974, std values: 4.874025008660485, min values: 8.0382e-07, max values: 40.484, median values: 0.15859, and quantile values: 0.25 0.05485\n0.50 0.15859\n0.75 0.68384\nName: 8520, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4838090649706288, std values: 4.790089651691189, min values: 3.6853e-07, max values: 38.14, median values: 0.25468, and quantile values: 0.25 0.060352\n0.50 0.254680\n0.75 0.962505\nName: 8521, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3173888009783021, std values: 4.5818391551447615, min values: 5.1945e-07, max values: 37.121, median values: 0.20473, and quantile values: 0.25 0.05824\n0.50 0.20473\n0.75 0.78027\nName: 8522, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.504448377308805, std values: 4.989864321825734, min values: 9.443e-07, max values: 41.432, median values: 0.24049, and quantile values: 0.25 0.065684\n0.50 0.240490\n0.75 0.925120\nName: 8523, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.477428287745283, std values: 4.962526203905632, min values: 2.9139e-06, max values: 39.789, median values: 0.24546, and quantile values: 0.25 0.072049\n0.50 0.245460\n0.75 0.845545\nName: 8524, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4799371265748427, std values: 4.90928501723569, min values: 2.0311e-06, max values: 39.918, median values: 0.25586, and quantile values: 0.25 0.065948\n0.50 0.255860\n0.75 0.888760\nName: 8525, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7880504153603773, std values: 5.2746343017616235, min values: 1.0068e-06, max values: 43.639, median values: 0.28501, and quantile values: 0.25 0.076073\n0.50 0.285010\n0.75 1.305350\nName: 8526, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3015533895821383, std values: 4.668045863700923, min values: 2.912e-07, max values: 37.341, median values: 0.15884, and quantile values: 0.25 0.047986\n0.50 0.158840\n0.75 0.718335\nName: 8527, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3508933647033334, std values: 4.7351073216277, min values: 8.2323e-07, max values: 37.651, median values: 0.19012, and quantile values: 0.25 0.061255\n0.50 0.190120\n0.75 0.738030\nName: 8528, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6151675775345913, std values: 4.99012959625253, min values: 1.9843e-06, max values: 39.869, median values: 0.28765, and quantile values: 0.25 0.079212\n0.50 0.287650\n0.75 1.085050\nName: 8529, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5756557831855347, std values: 4.907668844606061, min values: 1.4875e-06, max values: 38.796, median values: 0.24765, and quantile values: 0.25 0.064948\n0.50 0.247650\n0.75 0.985725\nName: 8530, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5738327838125787, std values: 5.111254982795837, min values: 1.2049e-06, max values: 42.442, median values: 0.24062, and quantile values: 0.25 0.066384\n0.50 0.240620\n0.75 1.015150\nName: 8531, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3426526226414464, std values: 4.5463773836072505, min values: 7.4569e-07, max values: 37.573, median values: 0.19202, and quantile values: 0.25 0.054525\n0.50 0.192020\n0.75 0.820735\nName: 8532, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4126819669691195, std values: 4.887224168704799, min values: 9.4409e-07, max values: 39.858, median values: 0.21975, and quantile values: 0.25 0.058433\n0.50 0.219750\n0.75 0.794460\nName: 8533, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5749861333981134, std values: 5.060704439391813, min values: 6.259e-07, max values: 39.913, median values: 0.24064, and quantile values: 0.25 0.067747\n0.50 0.240640\n0.75 0.946055\nName: 8534, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.440233848818868, std values: 4.844149896602565, min values: 2.5548e-06, max values: 40.446, median values: 0.24453, and quantile values: 0.25 0.067012\n0.50 0.244530\n0.75 0.877320\nName: 8535, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4822030449144652, std values: 4.811371336373093, min values: 1.845e-06, max values: 39.142, median values: 0.22362, and quantile values: 0.25 0.058245\n0.50 0.223620\n0.75 0.947895\nName: 8536, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5239272933119499, std values: 4.941112018958396, min values: 3.3237e-06, max values: 40.434, median values: 0.23396, and quantile values: 0.25 0.074073\n0.50 0.233960\n0.75 0.905185\nName: 8537, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4020175590713206, std values: 4.794234507368888, min values: 6.2174e-07, max values: 38.335, median values: 0.19495, and quantile values: 0.25 0.059001\n0.50 0.194950\n0.75 0.846135\nName: 8538, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4707072619779875, std values: 4.985394107354597, min values: 2.2851e-06, max values: 39.841, median values: 0.20227, and quantile values: 0.25 0.063973\n0.50 0.202270\n0.75 0.838090\nName: 8539, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4812441204421385, std values: 4.883844850949006, min values: 4.85e-07, max values: 40.333, median values: 0.23162, and quantile values: 0.25 0.058969\n0.50 0.231620\n0.75 0.944470\nName: 8540, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2783524747402517, std values: 4.724087758233609, min values: 1.1044e-06, max values: 38.135, median values: 0.18489, and quantile values: 0.25 0.059299\n0.50 0.184890\n0.75 0.718635\nName: 8541, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5563448698816982, std values: 4.968768610352285, min values: 2.8029e-07, max values: 41.031, median values: 0.23117, and quantile values: 0.25 0.062888\n0.50 0.231170\n0.75 1.022900\nName: 8542, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.431571725833962, std values: 5.066390199630252, min values: 1.4294e-06, max values: 42.146, median values: 0.19721, and quantile values: 0.25 0.055428\n0.50 0.197210\n0.75 0.887080\nName: 8543, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6575514064901258, std values: 4.978396124945326, min values: 1.0083e-07, max values: 40.137, median values: 0.22801, and quantile values: 0.25 0.068578\n0.50 0.228010\n0.75 1.138950\nName: 8544, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5585776198836478, std values: 5.081384773981004, min values: 1.6761e-06, max values: 41.75, median values: 0.23321, and quantile values: 0.25 0.067892\n0.50 0.233210\n0.75 0.991155\nName: 8545, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4278090167610062, std values: 4.827768894624786, min values: 2.1872e-06, max values: 39.214, median values: 0.2094, and quantile values: 0.25 0.060550\n0.50 0.209400\n0.75 0.855145\nName: 8546, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.324894286799371, std values: 4.690964414148545, min values: 1.8895e-06, max values: 39.63, median values: 0.18212, and quantile values: 0.25 0.047984\n0.50 0.182120\n0.75 0.794325\nName: 8547, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5166673406088051, std values: 5.2021085689251105, min values: 1.1127e-06, max values: 44.863, median values: 0.2375, and quantile values: 0.25 0.066422\n0.50 0.237500\n0.75 0.865415\nName: 8548, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6324266494792452, std values: 5.293508551402283, min values: 1.7959e-06, max values: 45.594, median values: 0.24882, and quantile values: 0.25 0.073756\n0.50 0.248820\n0.75 1.030600\nName: 8549, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.623721458244025, std values: 4.9983853764515285, min values: 2.9184e-06, max values: 39.4, median values: 0.29058, and quantile values: 0.25 0.076283\n0.50 0.290580\n0.75 1.107400\nName: 8550, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3318082885412579, std values: 4.867085059904678, min values: 1.8694e-07, max values: 41.444, median values: 0.16085, and quantile values: 0.25 0.039959\n0.50 0.160850\n0.75 0.674640\nName: 8551, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5065744706333335, std values: 5.064325872629661, min values: 1.306e-06, max values: 42.632, median values: 0.22554, and quantile values: 0.25 0.059206\n0.50 0.225540\n0.75 0.932555\nName: 8552, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.584068101292453, std values: 4.971416158511477, min values: 2.9756e-06, max values: 39.823, median values: 0.27714, and quantile values: 0.25 0.069284\n0.50 0.277140\n0.75 1.012530\nName: 8553, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6289109449597483, std values: 5.2615970069907725, min values: 3.4218e-06, max values: 44.103, median values: 0.26514, and quantile values: 0.25 0.081076\n0.50 0.265140\n0.75 0.913840\nName: 8554, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5321937964220123, std values: 4.913746194878038, min values: 2.7365e-06, max values: 39.477, median values: 0.2288, and quantile values: 0.25 0.065948\n0.50 0.228800\n0.75 0.903410\nName: 8555, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5718068998880506, std values: 5.065955348088613, min values: 1.555e-06, max values: 42.279, median values: 0.25266, and quantile values: 0.25 0.076237\n0.50 0.252660\n0.75 0.997550\nName: 8556, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.553817142763522, std values: 4.9329602639038495, min values: 2.0653e-06, max values: 39.834, median values: 0.26296, and quantile values: 0.25 0.065455\n0.50 0.262960\n0.75 0.991690\nName: 8557, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.30385710923522, std values: 4.4107684847896005, min values: 1.7554e-06, max values: 37.752, median values: 0.1742, and quantile values: 0.25 0.064641\n0.50 0.174200\n0.75 0.776265\nName: 8558, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5097034842163521, std values: 4.778006550003222, min values: 3.408e-06, max values: 39.949, median values: 0.23115, and quantile values: 0.25 0.067139\n0.50 0.231150\n0.75 0.922115\nName: 8559, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5600653516635221, std values: 4.956774569378168, min values: 4.162e-07, max values: 41.005, median values: 0.24861, and quantile values: 0.25 0.062437\n0.50 0.248610\n0.75 0.972060\nName: 8560, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6086892359591198, std values: 5.272115274028659, min values: 5.8173e-06, max values: 42.278, median values: 0.25882, and quantile values: 0.25 0.068881\n0.50 0.258820\n0.75 0.942335\nName: 8561, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.808806924381761, std values: 5.335347167690073, min values: 3.9852e-06, max values: 42.734, median values: 0.33138, and quantile values: 0.25 0.079118\n0.50 0.331380\n0.75 1.211650\nName: 8562, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7071764018773583, std values: 5.341305706169614, min values: 4.1027e-06, max values: 44.153, median values: 0.27904, and quantile values: 0.25 0.08429\n0.50 0.27904\n0.75 1.05170\nName: 8563, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5101561968352202, std values: 4.789339577621857, min values: 1.1845e-06, max values: 38.894, median values: 0.25887, and quantile values: 0.25 0.063171\n0.50 0.258870\n0.75 0.850465\nName: 8564, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5526125235973585, std values: 4.8187936154122015, min values: 3.6098e-07, max values: 37.987, median values: 0.2315, and quantile values: 0.25 0.053181\n0.50 0.231500\n0.75 1.055850\nName: 8565, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5496175947679243, std values: 4.888525830148284, min values: 1.8753e-06, max values: 39.367, median values: 0.24386, and quantile values: 0.25 0.074504\n0.50 0.243860\n0.75 0.961925\nName: 8566, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4238283614355973, std values: 4.89135311741774, min values: 6.0076e-07, max values: 39.767, median values: 0.19496, and quantile values: 0.25 0.062898\n0.50 0.194960\n0.75 0.838630\nName: 8567, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4530903907452828, std values: 4.815691478703917, min values: 1.1875e-06, max values: 38.58, median values: 0.22607, and quantile values: 0.25 0.059278\n0.50 0.226070\n0.75 0.848405\nName: 8568, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.406195832028302, std values: 4.9131161376952095, min values: 2.2373e-06, max values: 40.049, median values: 0.20539, and quantile values: 0.25 0.056263\n0.50 0.205390\n0.75 0.835200\nName: 8569, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4599632163484277, std values: 5.034425207707899, min values: 1.3862e-06, max values: 41.793, median values: 0.25012, and quantile values: 0.25 0.063604\n0.50 0.250120\n0.75 0.818080\nName: 8570, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.454988523916981, std values: 4.971921131145878, min values: 1.6672e-06, max values: 40.369, median values: 0.19067, and quantile values: 0.25 0.061254\n0.50 0.190670\n0.75 0.856580\nName: 8571, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5198458638012577, std values: 5.050656416086829, min values: 3.2662e-06, max values: 40.25, median values: 0.2301, and quantile values: 0.25 0.069028\n0.50 0.230100\n0.75 0.909410\nName: 8572, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.442209498292453, std values: 5.031029318952972, min values: 1.4469e-06, max values: 41.753, median values: 0.19427, and quantile values: 0.25 0.056692\n0.50 0.194270\n0.75 0.812955\nName: 8573, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7284455910308174, std values: 5.2213654397535, min values: 3.716e-06, max values: 41.732, median values: 0.27899, and quantile values: 0.25 0.08928\n0.50 0.27899\n0.75 1.12095\nName: 8574, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8137308327289308, std values: 5.431565321190646, min values: 2.1279e-06, max values: 46.082, median values: 0.29013, and quantile values: 0.25 0.084872\n0.50 0.290130\n0.75 1.279050\nName: 8575, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4149855843515722, std values: 4.71023140761316, min values: 1.0583e-06, max values: 38.733, median values: 0.20395, and quantile values: 0.25 0.058324\n0.50 0.203950\n0.75 0.863170\nName: 8576, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.704753024274843, std values: 5.0391696154190955, min values: 2.4268e-06, max values: 39.52, median values: 0.29983, and quantile values: 0.25 0.081023\n0.50 0.299830\n0.75 1.183500\nName: 8577, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.460353022868365, std values: 4.7449883691329715, min values: 7.0387e-07, max values: 38.122, median values: 0.22312, and quantile values: 0.25 0.073946\n0.50 0.223120\n0.75 0.892595\nName: 8578, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3910646670886793, std values: 4.591560643595814, min values: 1.2648e-06, max values: 38.529, median values: 0.19699, and quantile values: 0.25 0.066877\n0.50 0.196990\n0.75 0.839345\nName: 8579, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4469534657119496, std values: 4.728111350990528, min values: 3.251e-07, max values: 38.367, median values: 0.22006, and quantile values: 0.25 0.057440\n0.50 0.220060\n0.75 0.971465\nName: 8580, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5351293672943394, std values: 5.225555532207592, min values: 1.6162e-06, max values: 44.18, median values: 0.23057, and quantile values: 0.25 0.058255\n0.50 0.230570\n0.75 0.953050\nName: 8581, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6427810070219244, std values: 5.035124014530357, min values: 8.9386e-08, max values: 41.203, median values: 0.27061, and quantile values: 0.25 0.065064\n0.50 0.270610\n0.75 1.090200\nName: 8582, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3570771152320755, std values: 4.670356133646849, min values: 1.7134e-06, max values: 39.219, median values: 0.18799, and quantile values: 0.25 0.059014\n0.50 0.187990\n0.75 0.755095\nName: 8583, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5025505642981132, std values: 5.0249484242639255, min values: 1.2783e-06, max values: 40.882, median values: 0.22319, and quantile values: 0.25 0.065288\n0.50 0.223190\n0.75 0.903950\nName: 8584, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3016374366096226, std values: 4.688433943768072, min values: 9.7763e-07, max values: 38.545, median values: 0.15245, and quantile values: 0.25 0.052832\n0.50 0.152450\n0.75 0.755885\nName: 8585, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5312183111549686, std values: 5.252617560411469, min values: 7.4154e-07, max values: 46.341, median values: 0.24812, and quantile values: 0.25 0.06792\n0.50 0.24812\n0.75 0.92833\nName: 8586, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.427087962608176, std values: 4.823499543434825, min values: 1.0901e-06, max values: 38.575, median values: 0.18301, and quantile values: 0.25 0.06000\n0.50 0.18301\n0.75 0.78368\nName: 8587, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.470606381136478, std values: 4.814586090485775, min values: 1.51e-06, max values: 38.507, median values: 0.23502, and quantile values: 0.25 0.063774\n0.50 0.235020\n0.75 0.914285\nName: 8588, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4226009089314462, std values: 4.845384173301167, min values: 1.9842e-06, max values: 39.123, median values: 0.20657, and quantile values: 0.25 0.05769\n0.50 0.20657\n0.75 0.82905\nName: 8589, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3784749475867923, std values: 5.002131976682124, min values: 1.0748e-06, max values: 42.55, median values: 0.21807, and quantile values: 0.25 0.065957\n0.50 0.218070\n0.75 0.792505\nName: 8590, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.712340115663522, std values: 5.102418604783974, min values: 4.8241e-06, max values: 41.019, median values: 0.27778, and quantile values: 0.25 0.078823\n0.50 0.277780\n0.75 1.114600\nName: 8591, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1854288733200629, std values: 4.524223175060128, min values: 6.6699e-07, max values: 37.427, median values: 0.13808, and quantile values: 0.25 0.046129\n0.50 0.138080\n0.75 0.598415\nName: 8592, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3231211958861635, std values: 4.915239712203666, min values: 1.3095e-06, max values: 40.353, median values: 0.18791, and quantile values: 0.25 0.05378\n0.50 0.18791\n0.75 0.72807\nName: 8593, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3996668333862894, std values: 4.633137707681664, min values: 4.2182e-07, max values: 37.45, median values: 0.21422, and quantile values: 0.25 0.054316\n0.50 0.214220\n0.75 0.881520\nName: 8594, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4032126856691196, std values: 4.872717656366449, min values: 7.9929e-07, max values: 40.036, median values: 0.20369, and quantile values: 0.25 0.060209\n0.50 0.203690\n0.75 0.821195\nName: 8595, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3745050625673272, std values: 5.035235107950446, min values: 2.6874e-08, max values: 44.777, median values: 0.17541, and quantile values: 0.25 0.039723\n0.50 0.175410\n0.75 0.733520\nName: 8596, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5086042210764778, std values: 4.88089038020218, min values: 9.8176e-07, max values: 39.375, median values: 0.23548, and quantile values: 0.25 0.069768\n0.50 0.235480\n0.75 0.972930\nName: 8597, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.457189447057547, std values: 4.934626748267901, min values: 2.7465e-07, max values: 40.941, median values: 0.19262, and quantile values: 0.25 0.059147\n0.50 0.192620\n0.75 0.906635\nName: 8598, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2442890754905662, std values: 4.570351136846522, min values: 1.6192e-06, max values: 38.361, median values: 0.15456, and quantile values: 0.25 0.048265\n0.50 0.154560\n0.75 0.642980\nName: 8599, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.418005434539132, std values: 4.900733694418428, min values: 5.9922e-08, max values: 40.717, median values: 0.19455, and quantile values: 0.25 0.051172\n0.50 0.194550\n0.75 0.788935\nName: 8600, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4661221999245284, std values: 4.918736369852325, min values: 1.0944e-06, max values: 39.209, median values: 0.20652, and quantile values: 0.25 0.060996\n0.50 0.206520\n0.75 0.913425\nName: 8601, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5184958449044024, std values: 4.776821367144162, min values: 1.2944e-06, max values: 38.219, median values: 0.25246, and quantile values: 0.25 0.080489\n0.50 0.252460\n0.75 0.985580\nName: 8602, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4285038338006288, std values: 4.7969339036063285, min values: 2.2289e-06, max values: 39.736, median values: 0.23156, and quantile values: 0.25 0.058448\n0.50 0.231560\n0.75 0.856805\nName: 8603, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4992339564476103, std values: 4.9099792979323045, min values: 7.9137e-07, max values: 39.533, median values: 0.22471, and quantile values: 0.25 0.063346\n0.50 0.224710\n0.75 0.932105\nName: 8604, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5269926623815093, std values: 5.109120147688242, min values: 9.3266e-07, max values: 42.939, median values: 0.19939, and quantile values: 0.25 0.062931\n0.50 0.199390\n0.75 0.962395\nName: 8605, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7048359472827044, std values: 5.209705800984541, min values: 6.1405e-07, max values: 43.879, median values: 0.28601, and quantile values: 0.25 0.071512\n0.50 0.286010\n0.75 1.134700\nName: 8606, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6217851232685534, std values: 5.002749658391045, min values: 4.5743e-06, max values: 40.576, median values: 0.29021, and quantile values: 0.25 0.078513\n0.50 0.290210\n0.75 0.971445\nName: 8607, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3771578779283018, std values: 5.0590385335114965, min values: 2.5271e-06, max values: 41.466, median values: 0.1913, and quantile values: 0.25 0.047065\n0.50 0.191300\n0.75 0.669510\nName: 8608, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.600690432668805, std values: 5.0088423575399075, min values: 8.5154e-07, max values: 40.376, median values: 0.27402, and quantile values: 0.25 0.070934\n0.50 0.274020\n0.75 1.041500\nName: 8609, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.509269775128302, std values: 4.99767751670091, min values: 1.4624e-06, max values: 40.323, median values: 0.2097, and quantile values: 0.25 0.061745\n0.50 0.209700\n0.75 0.923045\nName: 8610, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.582275776581761, std values: 5.112963238115724, min values: 1.7787e-06, max values: 42.145, median values: 0.25411, and quantile values: 0.25 0.069223\n0.50 0.254110\n0.75 0.989905\nName: 8611, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4330954281667294, std values: 4.645698381011175, min values: 3.0841e-07, max values: 36.919, median values: 0.19989, and quantile values: 0.25 0.057166\n0.50 0.199890\n0.75 0.871135\nName: 8612, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4705113224308175, std values: 4.961108925085735, min values: 1.4193e-06, max values: 40.433, median values: 0.22811, and quantile values: 0.25 0.069750\n0.50 0.228110\n0.75 0.922025\nName: 8613, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3478612339798743, std values: 4.652481014975242, min values: 1.5025e-06, max values: 38.828, median values: 0.20043, and quantile values: 0.25 0.06462\n0.50 0.20043\n0.75 0.76385\nName: 8614, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3827939148480504, std values: 4.974198693607045, min values: 1.1324e-07, max values: 42.515, median values: 0.17566, and quantile values: 0.25 0.047799\n0.50 0.175660\n0.75 0.746110\nName: 8615, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3706975438194968, std values: 4.746850696642835, min values: 2.6991e-06, max values: 39.554, median values: 0.19309, and quantile values: 0.25 0.056973\n0.50 0.193090\n0.75 0.765115\nName: 8616, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4377769053477987, std values: 4.967622515668858, min values: 2.13e-06, max values: 40.469, median values: 0.22225, and quantile values: 0.25 0.063753\n0.50 0.222250\n0.75 0.804985\nName: 8617, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4872921209295598, std values: 5.017988302262403, min values: 1.5722e-06, max values: 41.369, median values: 0.21902, and quantile values: 0.25 0.070348\n0.50 0.219020\n0.75 0.903655\nName: 8618, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5172162073155346, std values: 4.886593934238164, min values: 3.4967e-07, max values: 39.501, median values: 0.21797, and quantile values: 0.25 0.058312\n0.50 0.217970\n0.75 0.950870\nName: 8619, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5025563824484278, std values: 5.031746398013456, min values: 1.6115e-06, max values: 41.414, median values: 0.22716, and quantile values: 0.25 0.070041\n0.50 0.227160\n0.75 0.955585\nName: 8620, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6281780925716982, std values: 5.248588714805031, min values: 4.9738e-06, max values: 43.05, median values: 0.26495, and quantile values: 0.25 0.076039\n0.50 0.264950\n0.75 0.997030\nName: 8621, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4204294255203773, std values: 4.941112166453812, min values: 5.2144e-07, max values: 41.071, median values: 0.18618, and quantile values: 0.25 0.053856\n0.50 0.186180\n0.75 0.738375\nName: 8622, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3202520041547798, std values: 4.906983837221384, min values: 3.3291e-07, max values: 42.152, median values: 0.17784, and quantile values: 0.25 0.047724\n0.50 0.177840\n0.75 0.674660\nName: 8623, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4417035065454087, std values: 4.881586868771106, min values: 9.5932e-07, max values: 39.001, median values: 0.21076, and quantile values: 0.25 0.053097\n0.50 0.210760\n0.75 0.830300\nName: 8624, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.497975011818239, std values: 4.994622146470155, min values: 1.8503e-06, max values: 40.708, median values: 0.23728, and quantile values: 0.25 0.074446\n0.50 0.237280\n0.75 0.923615\nName: 8625, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5458577482693083, std values: 4.97700210777491, min values: 8.5702e-07, max values: 40.273, median values: 0.23503, and quantile values: 0.25 0.064125\n0.50 0.235030\n0.75 1.005350\nName: 8626, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6322350119622515, std values: 5.189247384485718, min values: 2.6048e-08, max values: 44.673, median values: 0.21293, and quantile values: 0.25 0.060341\n0.50 0.212930\n0.75 1.118100\nName: 8627, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5807480048245282, std values: 4.9912152297027825, min values: 4.4706e-06, max values: 40.031, median values: 0.24851, and quantile values: 0.25 0.07858\n0.50 0.24851\n0.75 0.93934\nName: 8628, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5131001232748427, std values: 5.11508238559222, min values: 3.644e-06, max values: 41.268, median values: 0.23287, and quantile values: 0.25 0.059145\n0.50 0.232870\n0.75 0.803585\nName: 8629, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4143004295603774, std values: 4.899606346779038, min values: 2.0482e-06, max values: 39.278, median values: 0.23552, and quantile values: 0.25 0.067607\n0.50 0.235520\n0.75 0.813120\nName: 8630, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5409886688132073, std values: 4.930183677129882, min values: 6.3121e-06, max values: 40.625, median values: 0.25296, and quantile values: 0.25 0.068563\n0.50 0.252960\n0.75 0.873595\nName: 8631, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6495990644150942, std values: 5.035714187443593, min values: 2.5608e-06, max values: 39.613, median values: 0.30603, and quantile values: 0.25 0.074789\n0.50 0.306030\n0.75 1.060100\nName: 8632, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4456534246933332, std values: 4.767274110317745, min values: 7.2674e-07, max values: 37.772, median values: 0.25792, and quantile values: 0.25 0.065358\n0.50 0.257920\n0.75 0.899380\nName: 8633, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3674789985881257, std values: 4.671162864165657, min values: 2.8882e-08, max values: 37.294, median values: 0.18516, and quantile values: 0.25 0.047497\n0.50 0.185160\n0.75 0.851675\nName: 8634, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.677424215896855, std values: 5.125226609847519, min values: 3.7426e-06, max values: 40.992, median values: 0.27879, and quantile values: 0.25 0.074552\n0.50 0.278790\n0.75 1.134550\nName: 8635, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7468658551876544, std values: 5.279168433470297, min values: 2.8679e-08, max values: 46.232, median values: 0.26968, and quantile values: 0.25 0.054595\n0.50 0.269680\n0.75 1.138050\nName: 8636, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4342648241940879, std values: 4.5278924634743944, min values: 7.8446e-07, max values: 37.648, median values: 0.21642, and quantile values: 0.25 0.065820\n0.50 0.216420\n0.75 0.961775\nName: 8637, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4917920960830187, std values: 4.996082614743014, min values: 3.3563e-06, max values: 39.973, median values: 0.21413, and quantile values: 0.25 0.071601\n0.50 0.214130\n0.75 0.904775\nName: 8638, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3430130122566037, std values: 4.535118840466784, min values: 1.8277e-06, max values: 38.195, median values: 0.21226, and quantile values: 0.25 0.063036\n0.50 0.212260\n0.75 0.780020\nName: 8639, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6066184492767297, std values: 5.058130734769188, min values: 4.8355e-06, max values: 39.777, median values: 0.2636, and quantile values: 0.25 0.089672\n0.50 0.263600\n0.75 0.997080\nName: 8640, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3038823610698114, std values: 4.869928187170108, min values: 1.2181e-06, max values: 39.813, median values: 0.17687, and quantile values: 0.25 0.052651\n0.50 0.176870\n0.75 0.729255\nName: 8641, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.510691099472956, std values: 4.892937296621115, min values: 3.0892e-06, max values: 40.52, median values: 0.20584, and quantile values: 0.25 0.068317\n0.50 0.205840\n0.75 0.887355\nName: 8642, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.425187534211698, std values: 4.797674850591319, min values: 7.5066e-07, max values: 38.254, median values: 0.21371, and quantile values: 0.25 0.061780\n0.50 0.213710\n0.75 0.874395\nName: 8643, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.463704963089937, std values: 4.879322502856366, min values: 1.4856e-06, max values: 39.012, median values: 0.20727, and quantile values: 0.25 0.064156\n0.50 0.207270\n0.75 0.922695\nName: 8644, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7009047717062895, std values: 4.986389610564351, min values: 1.5856e-06, max values: 38.587, median values: 0.29253, and quantile values: 0.25 0.074212\n0.50 0.292530\n0.75 1.180900\nName: 8645, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.226151323131258, std values: 4.512239754298212, min values: 1.4917e-07, max values: 37.279, median values: 0.137, and quantile values: 0.25 0.042946\n0.50 0.137000\n0.75 0.662570\nName: 8646, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7336466652188678, std values: 5.187878259791227, min values: 3.4247e-06, max values: 41.969, median values: 0.30577, and quantile values: 0.25 0.091699\n0.50 0.305770\n0.75 1.180000\nName: 8647, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6581910594805027, std values: 5.202925106144817, min values: 3.6159e-06, max values: 42.335, median values: 0.24313, and quantile values: 0.25 0.076692\n0.50 0.243130\n0.75 1.023350\nName: 8648, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2893568141002643, std values: 4.765311396999276, min values: 1.6092e-08, max values: 39.873, median values: 0.17675, and quantile values: 0.25 0.043987\n0.50 0.176750\n0.75 0.677930\nName: 8649, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4594506917861636, std values: 4.749706832733377, min values: 2.3022e-06, max values: 39.112, median values: 0.2028, and quantile values: 0.25 0.064193\n0.50 0.202800\n0.75 0.887805\nName: 8650, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.690630447127044, std values: 5.131824316385597, min values: 3.0874e-06, max values: 40.502, median values: 0.29312, and quantile values: 0.25 0.082823\n0.50 0.293120\n0.75 1.089600\nName: 8651, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5385922524194968, std values: 4.9552429271387695, min values: 1.7134e-06, max values: 39.166, median values: 0.22666, and quantile values: 0.25 0.078646\n0.50 0.226660\n0.75 0.948935\nName: 8652, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5727411977792454, std values: 4.982532385967815, min values: 1.8267e-06, max values: 39.241, median values: 0.23816, and quantile values: 0.25 0.075105\n0.50 0.238160\n0.75 1.033500\nName: 8653, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7646791845025158, std values: 5.2297795997442025, min values: 1.7993e-06, max values: 42.135, median values: 0.29684, and quantile values: 0.25 0.067003\n0.50 0.296840\n0.75 1.201600\nName: 8654, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2568814489080502, std values: 4.7428979162692695, min values: 1.7383e-07, max values: 39.084, median values: 0.16479, and quantile values: 0.25 0.040316\n0.50 0.164790\n0.75 0.616295\nName: 8655, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2781008380972327, std values: 5.024177805260424, min values: 5.6106e-07, max values: 43.749, median values: 0.13162, and quantile values: 0.25 0.049559\n0.50 0.131620\n0.75 0.637360\nName: 8656, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4732312162796228, std values: 4.811053518305226, min values: 8.0446e-07, max values: 38.355, median values: 0.21293, and quantile values: 0.25 0.062704\n0.50 0.212930\n0.75 0.890750\nName: 8657, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6311716460188679, std values: 5.069548834025813, min values: 1.3804e-06, max values: 41.849, median values: 0.26332, and quantile values: 0.25 0.071568\n0.50 0.263320\n0.75 1.096800\nName: 8658, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5351379497324529, std values: 4.944389184535428, min values: 4.7116e-07, max values: 40.442, median values: 0.25969, and quantile values: 0.25 0.063983\n0.50 0.259690\n0.75 0.982615\nName: 8659, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4950903300403773, std values: 4.7587863829355355, min values: 1.4512e-07, max values: 37.495, median values: 0.2055, and quantile values: 0.25 0.063037\n0.50 0.205500\n0.75 0.901415\nName: 8660, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.50313739796478, std values: 4.883950988399377, min values: 3.7398e-06, max values: 39.996, median values: 0.22506, and quantile values: 0.25 0.072097\n0.50 0.225060\n0.75 0.866920\nName: 8661, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2346432290132077, std values: 4.751173542278022, min values: 1.4973e-06, max values: 38.878, median values: 0.14405, and quantile values: 0.25 0.044425\n0.50 0.144050\n0.75 0.565510\nName: 8662, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3707520310044277, std values: 4.787080958739187, min values: 4.2974e-08, max values: 39.371, median values: 0.17963, and quantile values: 0.25 0.044351\n0.50 0.179630\n0.75 0.761205\nName: 8663, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.445249275981887, std values: 4.763820886121698, min values: 3.5662e-07, max values: 37.569, median values: 0.18482, and quantile values: 0.25 0.054259\n0.50 0.184820\n0.75 0.804745\nName: 8664, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5936594056327045, std values: 4.843152248723967, min values: 1.2096e-06, max values: 38.856, median values: 0.24616, and quantile values: 0.25 0.074974\n0.50 0.246160\n0.75 1.081850\nName: 8665, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2351607577018868, std values: 4.789682309525058, min values: 1.5038e-06, max values: 38.582, median values: 0.15474, and quantile values: 0.25 0.048741\n0.50 0.154740\n0.75 0.580445\nName: 8666, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.489294905401195, std values: 4.833594214220651, min values: 5.1149e-07, max values: 38.39, median values: 0.22655, and quantile values: 0.25 0.060223\n0.50 0.226550\n0.75 0.929830\nName: 8667, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5145970065549057, std values: 4.926212215695636, min values: 9.4133e-07, max values: 39.419, median values: 0.25246, and quantile values: 0.25 0.06805\n0.50 0.25246\n0.75 0.93797\nName: 8668, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.274310512562264, std values: 4.787453892328818, min values: 1.2027e-06, max values: 39.086, median values: 0.16567, and quantile values: 0.25 0.048544\n0.50 0.165670\n0.75 0.667960\nName: 8669, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3480696973767297, std values: 4.870477747009484, min values: 1.6304e-06, max values: 39.434, median values: 0.18286, and quantile values: 0.25 0.053093\n0.50 0.182860\n0.75 0.747675\nName: 8670, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4938138679685535, std values: 5.094232418000989, min values: 2.491e-06, max values: 42.201, median values: 0.22876, and quantile values: 0.25 0.070949\n0.50 0.228760\n0.75 0.865030\nName: 8671, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.517320784833522, std values: 4.868302810113373, min values: 6.3853e-07, max values: 39.025, median values: 0.19644, and quantile values: 0.25 0.054074\n0.50 0.196440\n0.75 0.908655\nName: 8672, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.362197847627044, std values: 4.642514749439082, min values: 1.7043e-06, max values: 38.736, median values: 0.2056, and quantile values: 0.25 0.065942\n0.50 0.205600\n0.75 0.781870\nName: 8673, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4285485878113207, std values: 5.105038369755122, min values: 2.2385e-06, max values: 42.187, median values: 0.22284, and quantile values: 0.25 0.061722\n0.50 0.222840\n0.75 0.873175\nName: 8674, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3712188373666667, std values: 4.872291246419024, min values: 1.1057e-06, max values: 39.751, median values: 0.20623, and quantile values: 0.25 0.056384\n0.50 0.206230\n0.75 0.779500\nName: 8675, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5651731684484278, std values: 5.088778850415185, min values: 3.634e-06, max values: 40.39, median values: 0.25713, and quantile values: 0.25 0.065982\n0.50 0.257130\n0.75 0.922365\nName: 8676, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5539791625930819, std values: 5.180856758888141, min values: 6.0012e-06, max values: 41.298, median values: 0.24416, and quantile values: 0.25 0.061906\n0.50 0.244160\n0.75 0.808875\nName: 8677, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5304608709496854, std values: 4.7228516170862065, min values: 3.331e-06, max values: 40.402, median values: 0.24816, and quantile values: 0.25 0.068582\n0.50 0.248160\n0.75 0.923250\nName: 8678, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5271030307471698, std values: 4.912564864555734, min values: 1.6478e-06, max values: 39.056, median values: 0.26199, and quantile values: 0.25 0.068777\n0.50 0.261990\n0.75 0.997570\nName: 8679, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.48948586375761, std values: 5.058708405247388, min values: 4.2916e-07, max values: 42.738, median values: 0.2442, and quantile values: 0.25 0.057565\n0.50 0.244200\n0.75 0.851520\nName: 8680, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3745946688712578, std values: 4.591244223993945, min values: 2.5066e-08, max values: 36.018, median values: 0.18701, and quantile values: 0.25 0.043956\n0.50 0.187010\n0.75 0.791660\nName: 8681, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4860970061616352, std values: 4.898070207098771, min values: 1.4493e-06, max values: 38.94, median values: 0.21213, and quantile values: 0.25 0.065177\n0.50 0.212130\n0.75 0.932470\nName: 8682, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.014979761830189, std values: 5.689934856589834, min values: 5.4531e-06, max values: 46.857, median values: 0.32805, and quantile values: 0.25 0.10339\n0.50 0.32805\n0.75 1.35810\nName: 8683, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2747423392150945, std values: 4.6091165516860775, min values: 1.5147e-06, max values: 38.91, median values: 0.18401, and quantile values: 0.25 0.05208\n0.50 0.18401\n0.75 0.67828\nName: 8684, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.546560554981761, std values: 5.127592441477618, min values: 1.2286e-06, max values: 43.455, median values: 0.24267, and quantile values: 0.25 0.059569\n0.50 0.242670\n0.75 0.943065\nName: 8685, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1873729484064781, std values: 4.837172388719462, min values: 2.9943e-07, max values: 40.71, median values: 0.13032, and quantile values: 0.25 0.036131\n0.50 0.130320\n0.75 0.588895\nName: 8686, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5883264745610062, std values: 5.027316291603779, min values: 5.0777e-06, max values: 40.717, median values: 0.2675, and quantile values: 0.25 0.055712\n0.50 0.267500\n0.75 0.867300\nName: 8687, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3930822906603773, std values: 4.922750573437377, min values: 2.9891e-06, max values: 39.388, median values: 0.21537, and quantile values: 0.25 0.06337\n0.50 0.21537\n0.75 0.79167\nName: 8688, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7617876860880504, std values: 5.052256927845168, min values: 3.7557e-06, max values: 39.491, median values: 0.29721, and quantile values: 0.25 0.092049\n0.50 0.297210\n0.75 1.172100\nName: 8689, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3748177074022643, std values: 4.722700413110596, min values: 3.0936e-07, max values: 37.826, median values: 0.20048, and quantile values: 0.25 0.055387\n0.50 0.200480\n0.75 0.809890\nName: 8690, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5782985276578616, std values: 5.001174421674046, min values: 2.4001e-06, max values: 39.788, median values: 0.27267, and quantile values: 0.25 0.075444\n0.50 0.272670\n0.75 1.028375\nName: 8691, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4881396768919497, std values: 4.989011070828711, min values: 6.3102e-07, max values: 41.999, median values: 0.22366, and quantile values: 0.25 0.064985\n0.50 0.223660\n0.75 0.855165\nName: 8692, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.397953503918302, std values: 4.991490973698743, min values: 2.009e-08, max values: 43.394, median values: 0.16558, and quantile values: 0.25 0.038394\n0.50 0.165580\n0.75 0.728095\nName: 8693, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.600090279070176, std values: 5.144106801346067, min values: 2.2383e-08, max values: 45.268, median values: 0.22553, and quantile values: 0.25 0.047897\n0.50 0.225530\n0.75 0.983125\nName: 8694, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2914104343510695, std values: 4.547867355181878, min values: 6.2762e-07, max values: 36.835, median values: 0.14993, and quantile values: 0.25 0.048183\n0.50 0.149930\n0.75 0.737630\nName: 8695, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3613121402748427, std values: 4.8303646954535875, min values: 2.8007e-06, max values: 39.512, median values: 0.21232, and quantile values: 0.25 0.061373\n0.50 0.212320\n0.75 0.786750\nName: 8696, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6092239258188679, std values: 5.263482136711907, min values: 4.1671e-06, max values: 43.529, median values: 0.2454, and quantile values: 0.25 0.06984\n0.50 0.24540\n0.75 0.99147\nName: 8697, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.47762136256478, std values: 5.10232871235598, min values: 1.35e-06, max values: 42.787, median values: 0.1935, and quantile values: 0.25 0.057043\n0.50 0.193500\n0.75 0.883210\nName: 8698, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5235397534748427, std values: 5.098552573907289, min values: 2.1644e-06, max values: 42.168, median values: 0.22598, and quantile values: 0.25 0.07022\n0.50 0.22598\n0.75 0.91994\nName: 8699, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4058181498842768, std values: 4.675663143556514, min values: 1.5995e-06, max values: 38.991, median values: 0.21868, and quantile values: 0.25 0.05854\n0.50 0.21868\n0.75 0.81362\nName: 8700, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.819979714006289, std values: 5.355767634592451, min values: 1.0015e-05, max values: 41.306, median values: 0.30299, and quantile values: 0.25 0.080441\n0.50 0.302990\n0.75 1.108450\nName: 8701, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.282098565091937, std values: 4.6359084650102025, min values: 7.0198e-08, max values: 37.034, median values: 0.20516, and quantile values: 0.25 0.048679\n0.50 0.205160\n0.75 0.704465\nName: 8702, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4051523697886794, std values: 4.7955231799558335, min values: 3.0148e-06, max values: 39.424, median values: 0.18824, and quantile values: 0.25 0.064629\n0.50 0.188240\n0.75 0.807865\nName: 8703, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6724631385220126, std values: 4.950473823875763, min values: 1.1259e-06, max values: 38.427, median values: 0.28852, and quantile values: 0.25 0.076775\n0.50 0.288520\n0.75 1.174700\nName: 8704, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.528084376948302, std values: 4.9575631442742445, min values: 4.7328e-07, max values: 41.061, median values: 0.24038, and quantile values: 0.25 0.061894\n0.50 0.240380\n0.75 0.926975\nName: 8705, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2135968157403147, std values: 4.605713962834495, min values: 2.1402e-07, max values: 37.433, median values: 0.12164, and quantile values: 0.25 0.039905\n0.50 0.121640\n0.75 0.565980\nName: 8706, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3818514792974212, std values: 4.975665808279918, min values: 4.1559e-07, max values: 41.497, median values: 0.17336, and quantile values: 0.25 0.057017\n0.50 0.173360\n0.75 0.760720\nName: 8707, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5896915288037736, std values: 5.221850420420571, min values: 1.9022e-06, max values: 44.802, median values: 0.23244, and quantile values: 0.25 0.064144\n0.50 0.232440\n0.75 0.993190\nName: 8708, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4470593826050318, std values: 4.734839103601984, min values: 2.138e-06, max values: 39.459, median values: 0.21059, and quantile values: 0.25 0.05846\n0.50 0.21059\n0.75 0.92022\nName: 8709, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6288281682050316, std values: 4.851584852125337, min values: 3.2911e-06, max values: 39.128, median values: 0.27093, and quantile values: 0.25 0.082078\n0.50 0.270930\n0.75 1.120150\nName: 8710, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4726955016377359, std values: 4.973671073601252, min values: 1.6324e-06, max values: 39.968, median values: 0.25145, and quantile values: 0.25 0.069470\n0.50 0.251450\n0.75 0.963315\nName: 8711, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4132527694640251, std values: 5.044510400755313, min values: 6.6008e-07, max values: 43.557, median values: 0.17174, and quantile values: 0.25 0.054252\n0.50 0.171740\n0.75 0.817800\nName: 8712, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5823694896842766, std values: 5.168058294720337, min values: 5.1372e-06, max values: 40.964, median values: 0.26375, and quantile values: 0.25 0.06556\n0.50 0.26375\n0.75 0.88085\nName: 8713, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4423296675845285, std values: 5.012713504624432, min values: 9.2534e-07, max values: 41.525, median values: 0.21647, and quantile values: 0.25 0.057773\n0.50 0.216470\n0.75 0.785345\nName: 8714, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2607409191905035, std values: 4.579983462044498, min values: 4.1803e-07, max values: 36.337, median values: 0.16352, and quantile values: 0.25 0.050028\n0.50 0.163520\n0.75 0.658320\nName: 8715, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.460585134324717, std values: 4.726815753646433, min values: 4.1293e-07, max values: 37.055, median values: 0.22693, and quantile values: 0.25 0.058499\n0.50 0.226930\n0.75 0.911665\nName: 8716, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5253975830597484, std values: 4.951735474053975, min values: 3.6501e-06, max values: 40.465, median values: 0.24237, and quantile values: 0.25 0.069475\n0.50 0.242370\n0.75 0.909980\nName: 8717, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4495068429283018, std values: 4.984042888111016, min values: 8.765e-07, max values: 41.449, median values: 0.217, and quantile values: 0.25 0.059326\n0.50 0.217000\n0.75 0.797150\nName: 8718, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2598420139962263, std values: 4.739548950098246, min values: 3.6274e-06, max values: 40.428, median values: 0.17167, and quantile values: 0.25 0.044455\n0.50 0.171670\n0.75 0.637250\nName: 8719, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.256164160614025, std values: 4.602542951240482, min values: 4.7543e-07, max values: 37.622, median values: 0.12597, and quantile values: 0.25 0.041604\n0.50 0.125970\n0.75 0.619200\nName: 8720, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.420972273993648, std values: 4.692664963413566, min values: 8.5289e-07, max values: 37.547, median values: 0.22746, and quantile values: 0.25 0.062898\n0.50 0.227460\n0.75 0.899650\nName: 8721, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5007582877855343, std values: 4.920729624682754, min values: 1.4323e-06, max values: 39.321, median values: 0.22092, and quantile values: 0.25 0.066014\n0.50 0.220920\n0.75 0.925445\nName: 8722, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.395655463343019, std values: 4.574584986522008, min values: 3.6894e-07, max values: 37.974, median values: 0.23222, and quantile values: 0.25 0.057463\n0.50 0.232220\n0.75 0.905725\nName: 8723, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.482194141425786, std values: 4.917077971736608, min values: 2.3144e-06, max values: 39.94, median values: 0.22567, and quantile values: 0.25 0.064941\n0.50 0.225670\n0.75 0.905265\nName: 8724, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3377110939920125, std values: 4.777658257408362, min values: 7.8353e-07, max values: 38.822, median values: 0.18544, and quantile values: 0.25 0.050515\n0.50 0.185440\n0.75 0.753220\nName: 8725, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.435605990088679, std values: 5.074764645172525, min values: 1.5425e-06, max values: 43.068, median values: 0.2045, and quantile values: 0.25 0.058878\n0.50 0.204500\n0.75 0.816810\nName: 8726, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6604260935081134, std values: 5.139997163613266, min values: 2.5509e-07, max values: 43.249, median values: 0.2244, and quantile values: 0.25 0.065238\n0.50 0.224400\n0.75 1.052350\nName: 8727, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5509632373255158, std values: 5.03304745145922, min values: 5.4947e-08, max values: 43.021, median values: 0.22992, and quantile values: 0.25 0.057629\n0.50 0.229920\n0.75 0.937605\nName: 8728, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5657257143176102, std values: 5.0199197926845835, min values: 2.1691e-06, max values: 40.777, median values: 0.27361, and quantile values: 0.25 0.078177\n0.50 0.273610\n0.75 0.978845\nName: 8729, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4504288609176732, std values: 4.932493500619957, min values: 1.6934e-07, max values: 41.419, median values: 0.20693, and quantile values: 0.25 0.044823\n0.50 0.206930\n0.75 0.816215\nName: 8730, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.485989486888679, std values: 4.809605345674042, min values: 1.3315e-06, max values: 38.171, median values: 0.22801, and quantile values: 0.25 0.064365\n0.50 0.228010\n0.75 0.963295\nName: 8731, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4588292358836978, std values: 4.898489929759278, min values: 7.8318e-08, max values: 40.998, median values: 0.20124, and quantile values: 0.25 0.041515\n0.50 0.201240\n0.75 0.899170\nName: 8732, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7380515941654087, std values: 5.137615363571921, min values: 4.8861e-06, max values: 40.078, median values: 0.29666, and quantile values: 0.25 0.094352\n0.50 0.296660\n0.75 1.113650\nName: 8733, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3032296013899372, std values: 4.794630222072932, min values: 2.4394e-06, max values: 39.803, median values: 0.18337, and quantile values: 0.25 0.051189\n0.50 0.183370\n0.75 0.730600\nName: 8734, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.440937477172956, std values: 4.509154955194811, min values: 1.2504e-06, max values: 38.664, median values: 0.21375, and quantile values: 0.25 0.065265\n0.50 0.213750\n0.75 0.981265\nName: 8735, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3711975500597484, std values: 4.848613047824397, min values: 1.2901e-06, max values: 39.098, median values: 0.16571, and quantile values: 0.25 0.055517\n0.50 0.165710\n0.75 0.780470\nName: 8736, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2184516543150943, std values: 4.450878724125757, min values: 1.4035e-06, max values: 39.244, median values: 0.16372, and quantile values: 0.25 0.054415\n0.50 0.163720\n0.75 0.680585\nName: 8737, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4674680741955977, std values: 5.000060450074221, min values: 2.6828e-06, max values: 40.323, median values: 0.22819, and quantile values: 0.25 0.065963\n0.50 0.228190\n0.75 0.831550\nName: 8738, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5464128563160378, std values: 4.868803153242476, min values: 5.3035e-07, max values: 38.912, median values: 0.24204, and quantile values: 0.25 0.060891\n0.50 0.242040\n0.75 0.946405\nName: 8739, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5109960317610063, std values: 4.826695578426655, min values: 2.8049e-06, max values: 40.128, median values: 0.2637, and quantile values: 0.25 0.074254\n0.50 0.263700\n0.75 0.936105\nName: 8740, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2226511256996224, std values: 4.446896346082745, min values: 7.4184e-07, max values: 38.034, median values: 0.16404, and quantile values: 0.25 0.050937\n0.50 0.164040\n0.75 0.658350\nName: 8741, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.518956978715723, std values: 5.086463990950117, min values: 1.3669e-06, max values: 43.139, median values: 0.23029, and quantile values: 0.25 0.071498\n0.50 0.230290\n0.75 0.925335\nName: 8742, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.622584251081761, std values: 4.986870107480991, min values: 1.7067e-06, max values: 39.848, median values: 0.26301, and quantile values: 0.25 0.076871\n0.50 0.263010\n0.75 1.003500\nName: 8743, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.763007745927044, std values: 5.28964719999065, min values: 4.1749e-06, max values: 41.729, median values: 0.27247, and quantile values: 0.25 0.07648\n0.50 0.27247\n0.75 1.12610\nName: 8744, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5617662595132074, std values: 4.89569127724379, min values: 1.587e-06, max values: 38.83, median values: 0.30039, and quantile values: 0.25 0.071401\n0.50 0.300390\n0.75 0.972165\nName: 8745, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4745237781247171, std values: 4.845329430717355, min values: 4.4573e-07, max values: 39.159, median values: 0.17933, and quantile values: 0.25 0.056246\n0.50 0.179330\n0.75 0.888960\nName: 8746, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5513735814075473, std values: 4.896299818872048, min values: 2.5224e-06, max values: 40.091, median values: 0.23695, and quantile values: 0.25 0.081579\n0.50 0.236950\n0.75 0.985175\nName: 8747, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4515737859139621, std values: 4.633792122311652, min values: 7.7192e-07, max values: 38.47, median values: 0.25009, and quantile values: 0.25 0.060683\n0.50 0.250090\n0.75 0.895325\nName: 8748, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5881023101446539, std values: 4.873017789791111, min values: 2.3169e-06, max values: 39.729, median values: 0.24182, and quantile values: 0.25 0.077799\n0.50 0.241820\n0.75 1.031500\nName: 8749, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5171272338327044, std values: 5.01604370628506, min values: 2.6754e-06, max values: 39.887, median values: 0.25569, and quantile values: 0.25 0.066061\n0.50 0.255690\n0.75 0.931895\nName: 8750, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.570344490773585, std values: 5.229197683633958, min values: 2.4543e-06, max values: 44.277, median values: 0.25437, and quantile values: 0.25 0.062820\n0.50 0.254370\n0.75 0.987245\nName: 8751, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5885977906522013, std values: 5.096150241857666, min values: 5.0879e-06, max values: 41.006, median values: 0.25591, and quantile values: 0.25 0.07716\n0.50 0.25591\n0.75 0.91715\nName: 8752, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5676718261880505, std values: 5.037260027404409, min values: 1.5791e-06, max values: 41.055, median values: 0.2287, and quantile values: 0.25 0.068429\n0.50 0.228700\n0.75 0.936320\nName: 8753, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4198160264528301, std values: 5.003660270556176, min values: 6.748e-07, max values: 42.148, median values: 0.18401, and quantile values: 0.25 0.060255\n0.50 0.184010\n0.75 0.830925\nName: 8754, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.327389984441258, std values: 4.645231290819652, min values: 2.2286e-07, max values: 37.571, median values: 0.16783, and quantile values: 0.25 0.048336\n0.50 0.167830\n0.75 0.715685\nName: 8755, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6253172985100628, std values: 5.1733393752540096, min values: 5.0482e-06, max values: 40.749, median values: 0.25883, and quantile values: 0.25 0.078948\n0.50 0.258830\n0.75 0.932800\nName: 8756, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4742757281660377, std values: 5.091844971255396, min values: 1.8535e-06, max values: 42.122, median values: 0.20758, and quantile values: 0.25 0.064933\n0.50 0.207580\n0.75 0.846760\nName: 8757, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.537483512047107, std values: 4.931035718850666, min values: 3.0819e-07, max values: 39.923, median values: 0.23475, and quantile values: 0.25 0.071462\n0.50 0.234750\n0.75 0.981405\nName: 8758, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5099201058672955, std values: 4.921742796248194, min values: 1.3284e-06, max values: 39.234, median values: 0.22028, and quantile values: 0.25 0.069199\n0.50 0.220280\n0.75 0.933965\nName: 8759, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3971864644450944, std values: 4.765916221643732, min values: 2.2457e-07, max values: 38.216, median values: 0.1966, and quantile values: 0.25 0.060324\n0.50 0.196600\n0.75 0.851115\nName: 8760, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4657551820802517, std values: 4.8335681478513575, min values: 8.9006e-07, max values: 38.558, median values: 0.21301, and quantile values: 0.25 0.058242\n0.50 0.213010\n0.75 0.800505\nName: 8761, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4923810726949058, std values: 5.093259545867267, min values: 6.4209e-07, max values: 43.962, median values: 0.19612, and quantile values: 0.25 0.055863\n0.50 0.196120\n0.75 0.880940\nName: 8762, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8258837990516983, std values: 5.039785864840899, min values: 9.8552e-07, max values: 38.297, median values: 0.31056, and quantile values: 0.25 0.089788\n0.50 0.310560\n0.75 1.390600\nName: 8763, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.716440434054717, std values: 5.536475678272621, min values: 3.8956e-06, max values: 48.215, median values: 0.26144, and quantile values: 0.25 0.077335\n0.50 0.261440\n0.75 1.068950\nName: 8764, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2883467820006291, std values: 4.778395645016619, min values: 1.6289e-06, max values: 39.098, median values: 0.16894, and quantile values: 0.25 0.053724\n0.50 0.168940\n0.75 0.714275\nName: 8765, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4139062662691824, std values: 4.811727171064697, min values: 1.5677e-06, max values: 39.165, median values: 0.19798, and quantile values: 0.25 0.057897\n0.50 0.197980\n0.75 0.843505\nName: 8766, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4657489948163522, std values: 5.27078224821667, min values: 3.5474e-06, max values: 43.41, median values: 0.20567, and quantile values: 0.25 0.050051\n0.50 0.205670\n0.75 0.742760\nName: 8767, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3747962854245281, std values: 4.899195089809622, min values: 1.246e-06, max values: 39.713, median values: 0.18061, and quantile values: 0.25 0.052447\n0.50 0.180610\n0.75 0.796200\nName: 8768, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.34831801710522, std values: 4.609250937482495, min values: 7.663e-08, max values: 37.135, median values: 0.18081, and quantile values: 0.25 0.056689\n0.50 0.180810\n0.75 0.759705\nName: 8769, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.574834386446604, std values: 4.991486040371757, min values: 5.4111e-07, max values: 40.793, median values: 0.2447, and quantile values: 0.25 0.06371\n0.50 0.24470\n0.75 1.03295\nName: 8770, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.565330271845283, std values: 5.367908067461399, min values: 1.4371e-06, max values: 47.774, median values: 0.22921, and quantile values: 0.25 0.070355\n0.50 0.229210\n0.75 0.931715\nName: 8771, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5926937632672957, std values: 4.809214476870726, min values: 1.5405e-06, max values: 38.335, median values: 0.27724, and quantile values: 0.25 0.075847\n0.50 0.277240\n0.75 1.076450\nName: 8772, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3152462389659119, std values: 4.565207594095804, min values: 8.1808e-07, max values: 38.44, median values: 0.1632, and quantile values: 0.25 0.059388\n0.50 0.163200\n0.75 0.707050\nName: 8773, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5213592813207548, std values: 5.205828997037116, min values: 4.0539e-06, max values: 41.587, median values: 0.20786, and quantile values: 0.25 0.059303\n0.50 0.207860\n0.75 0.735810\nName: 8774, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4692183076075473, std values: 4.7144397401251315, min values: 2.4634e-06, max values: 39.764, median values: 0.21824, and quantile values: 0.25 0.064264\n0.50 0.218240\n0.75 0.911120\nName: 8775, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.360394275752201, std values: 4.685340425532367, min values: 1.2418e-06, max values: 37.42, median values: 0.154, and quantile values: 0.25 0.049466\n0.50 0.154000\n0.75 0.758560\nName: 8776, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6119474610773585, std values: 4.982667817975839, min values: 4.4679e-06, max values: 40.05, median values: 0.28991, and quantile values: 0.25 0.080988\n0.50 0.289910\n0.75 0.978735\nName: 8777, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3500445695486791, std values: 4.741274790420817, min values: 5.3164e-07, max values: 38.194, median values: 0.2156, and quantile values: 0.25 0.06151\n0.50 0.21560\n0.75 0.78057\nName: 8778, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.587254256390566, std values: 5.061724015762068, min values: 3.9475e-06, max values: 40.007, median values: 0.22953, and quantile values: 0.25 0.072318\n0.50 0.229530\n0.75 0.954275\nName: 8779, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4299177322157233, std values: 4.9536284485018784, min values: 2.4604e-06, max values: 39.815, median values: 0.19936, and quantile values: 0.25 0.058102\n0.50 0.199360\n0.75 0.837625\nName: 8780, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6635163701679245, std values: 5.206736429761195, min values: 3.5889e-06, max values: 41.86, median values: 0.24407, and quantile values: 0.25 0.075277\n0.50 0.244070\n0.75 1.039350\nName: 8781, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7155019188962264, std values: 5.122612150857931, min values: 4.0148e-06, max values: 40.268, median values: 0.28506, and quantile values: 0.25 0.085846\n0.50 0.285060\n0.75 1.114750\nName: 8782, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5847283319796224, std values: 4.9007161126980785, min values: 6.1616e-07, max values: 38.672, median values: 0.26233, and quantile values: 0.25 0.063605\n0.50 0.262330\n0.75 1.019100\nName: 8783, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4530537554032703, std values: 4.82059695016276, min values: 6.3982e-07, max values: 38.263, median values: 0.2133, and quantile values: 0.25 0.052077\n0.50 0.213300\n0.75 0.889670\nName: 8784, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5755470818061381, std values: 5.183175776627509, min values: 2.1076e-08, max values: 45.106, median values: 0.21418, and quantile values: 0.25 0.054033\n0.50 0.214180\n0.75 0.985935\nName: 8785, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.496622661237107, std values: 5.010990689797834, min values: 3.8692e-06, max values: 41.078, median values: 0.23675, and quantile values: 0.25 0.067851\n0.50 0.236750\n0.75 0.829550\nName: 8786, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5124494975148426, std values: 4.696281508416998, min values: 6.9616e-07, max values: 37.184, median values: 0.19442, and quantile values: 0.25 0.057661\n0.50 0.194420\n0.75 0.985775\nName: 8787, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7734616306433963, std values: 5.076604401361736, min values: 1.7833e-06, max values: 39.109, median values: 0.3063, and quantile values: 0.25 0.084461\n0.50 0.306300\n0.75 1.343200\nName: 8788, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4372873478942327, std values: 5.125703595610947, min values: 1.9373e-08, max values: 46.089, median values: 0.1721, and quantile values: 0.25 0.037641\n0.50 0.172100\n0.75 0.723450\nName: 8789, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.639848112090503, std values: 5.013584299226568, min values: 2.3829e-07, max values: 41.447, median values: 0.26873, and quantile values: 0.25 0.062435\n0.50 0.268730\n0.75 1.089950\nName: 8790, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4753583023182388, std values: 4.868341665049716, min values: 2.7613e-06, max values: 39.216, median values: 0.24816, and quantile values: 0.25 0.069564\n0.50 0.248160\n0.75 0.860495\nName: 8791, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4113648633996225, std values: 4.727119136745445, min values: 8.6364e-07, max values: 38.177, median values: 0.20313, and quantile values: 0.25 0.056771\n0.50 0.203130\n0.75 0.842155\nName: 8792, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.438964397948742, std values: 5.018176561742632, min values: 4.6095e-07, max values: 42.668, median values: 0.19115, and quantile values: 0.25 0.054891\n0.50 0.191150\n0.75 0.796115\nName: 8793, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.260390232126415, std values: 4.465317937666203, min values: 1.2593e-06, max values: 38.748, median values: 0.16098, and quantile values: 0.25 0.050102\n0.50 0.160980\n0.75 0.714785\nName: 8794, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4524010551899371, std values: 4.825064094089218, min values: 1.8977e-06, max values: 38.609, median values: 0.22217, and quantile values: 0.25 0.067530\n0.50 0.222170\n0.75 0.860275\nName: 8795, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4093107591443395, std values: 4.592689395937001, min values: 3.301e-08, max values: 35.836, median values: 0.21014, and quantile values: 0.25 0.04386\n0.50 0.21014\n0.75 0.84145\nName: 8796, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2996906889689939, std values: 4.959649470337478, min values: 9.0207e-07, max values: 41.308, median values: 0.16778, and quantile values: 0.25 0.051339\n0.50 0.167780\n0.75 0.692535\nName: 8797, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3614806672773585, std values: 4.946188827415705, min values: 1.2905e-06, max values: 40.936, median values: 0.19015, and quantile values: 0.25 0.059415\n0.50 0.190150\n0.75 0.782935\nName: 8798, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3767074990450314, std values: 4.7982073432864505, min values: 8.5016e-07, max values: 38.653, median values: 0.16417, and quantile values: 0.25 0.047094\n0.50 0.164170\n0.75 0.756295\nName: 8799, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3843188304245913, std values: 4.771850728457081, min values: 1.8493e-07, max values: 39.087, median values: 0.16535, and quantile values: 0.25 0.045761\n0.50 0.165350\n0.75 0.796065\nName: 8800, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4380611948142767, std values: 4.7875204714411534, min values: 7.0597e-07, max values: 37.715, median values: 0.21643, and quantile values: 0.25 0.061644\n0.50 0.216430\n0.75 0.892140\nName: 8801, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8224600560125788, std values: 5.410878795243512, min values: 1.1107e-05, max values: 42.834, median values: 0.30767, and quantile values: 0.25 0.085573\n0.50 0.307670\n0.75 1.123150\nName: 8802, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2593852492613145, std values: 4.607290416986709, min values: 1.8899e-08, max values: 36.815, median values: 0.12198, and quantile values: 0.25 0.030503\n0.50 0.121980\n0.75 0.626755\nName: 8803, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5600443224899372, std values: 5.035888580871448, min values: 1.4169e-06, max values: 41.465, median values: 0.2585, and quantile values: 0.25 0.069626\n0.50 0.258500\n0.75 0.981895\nName: 8804, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.56594474017044, std values: 5.030340981528431, min values: 1.3802e-06, max values: 40.619, median values: 0.22527, and quantile values: 0.25 0.067117\n0.50 0.225270\n0.75 0.999065\nName: 8805, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4165541054580502, std values: 4.853566046700196, min values: 9.6463e-07, max values: 39.612, median values: 0.20611, and quantile values: 0.25 0.063487\n0.50 0.206110\n0.75 0.803405\nName: 8806, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5141953812867928, std values: 4.8154941663101845, min values: 4.6385e-06, max values: 40.522, median values: 0.21983, and quantile values: 0.25 0.065888\n0.50 0.219830\n0.75 0.873910\nName: 8807, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3628474791119496, std values: 4.898063492098585, min values: 1.9398e-06, max values: 39.653, median values: 0.17046, and quantile values: 0.25 0.050244\n0.50 0.170460\n0.75 0.762170\nName: 8808, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2576547783924525, std values: 4.605519315609334, min values: 1.9156e-06, max values: 38.742, median values: 0.16996, and quantile values: 0.25 0.051876\n0.50 0.169960\n0.75 0.754440\nName: 8809, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.451124888654088, std values: 4.812019051591197, min values: 2.8058e-06, max values: 39.437, median values: 0.21495, and quantile values: 0.25 0.060782\n0.50 0.214950\n0.75 0.871850\nName: 8810, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7001172851880504, std values: 4.932152869094666, min values: 3.5658e-06, max values: 39.552, median values: 0.31291, and quantile values: 0.25 0.085498\n0.50 0.312910\n0.75 1.209850\nName: 8811, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5149027971522264, std values: 4.920140535741, min values: 2.5504e-08, max values: 40.859, median values: 0.2301, and quantile values: 0.25 0.055611\n0.50 0.230100\n0.75 0.954375\nName: 8812, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3656691338048867, std values: 4.828885962011766, min values: 5.2654e-08, max values: 41.242, median values: 0.17342, and quantile values: 0.25 0.042887\n0.50 0.173420\n0.75 0.724270\nName: 8813, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4019956290442137, std values: 4.705305849268675, min values: 6.5893e-07, max values: 37.272, median values: 0.23142, and quantile values: 0.25 0.059690\n0.50 0.231420\n0.75 0.850695\nName: 8814, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6018697474925787, std values: 5.000814399405555, min values: 5.1342e-07, max values: 40.716, median values: 0.27713, and quantile values: 0.25 0.067954\n0.50 0.277130\n0.75 1.079700\nName: 8815, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.456895944155346, std values: 4.836703741723038, min values: 1.0039e-06, max values: 38.249, median values: 0.23396, and quantile values: 0.25 0.064917\n0.50 0.233960\n0.75 0.903685\nName: 8816, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.530132079191824, std values: 5.141364242618953, min values: 2.856e-06, max values: 41.88, median values: 0.24842, and quantile values: 0.25 0.062093\n0.50 0.248420\n0.75 0.907115\nName: 8817, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4249519567611322, std values: 4.846202042954231, min values: 7.9222e-07, max values: 39.019, median values: 0.1733, and quantile values: 0.25 0.051234\n0.50 0.173300\n0.75 0.808835\nName: 8818, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8689251122358488, std values: 5.250709880735059, min values: 6.5765e-06, max values: 40.849, median values: 0.33222, and quantile values: 0.25 0.096649\n0.50 0.332220\n0.75 1.210250\nName: 8819, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.420185385587673, std values: 4.942327830046112, min values: 6.4624e-07, max values: 41.357, median values: 0.20391, and quantile values: 0.25 0.061706\n0.50 0.203910\n0.75 0.787140\nName: 8820, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.666497467232704, std values: 5.354226578934734, min values: 6.2414e-06, max values: 43.728, median values: 0.28544, and quantile values: 0.25 0.079842\n0.50 0.285440\n0.75 0.981210\nName: 8821, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4659856397201256, std values: 5.016584560464311, min values: 1.0025e-06, max values: 42.033, median values: 0.22191, and quantile values: 0.25 0.067141\n0.50 0.221910\n0.75 0.866490\nName: 8822, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4750327103172327, std values: 4.812650812844276, min values: 3.7524e-07, max values: 38.319, median values: 0.22072, and quantile values: 0.25 0.061846\n0.50 0.220720\n0.75 0.935675\nName: 8823, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4917730372540878, std values: 4.635127591477119, min values: 1.0058e-06, max values: 38.02, median values: 0.25741, and quantile values: 0.25 0.069728\n0.50 0.257410\n0.75 0.960820\nName: 8824, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3607985339311133, std values: 4.652087707648389, min values: 2.0237e-08, max values: 36.999, median values: 0.21396, and quantile values: 0.25 0.055855\n0.50 0.213960\n0.75 0.805545\nName: 8825, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4210522997735848, std values: 5.106784711954455, min values: 3.7756e-06, max values: 41.583, median values: 0.19819, and quantile values: 0.25 0.056263\n0.50 0.198190\n0.75 0.733820\nName: 8826, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4219969732549058, std values: 4.719739029453585, min values: 2.1333e-07, max values: 37.893, median values: 0.18477, and quantile values: 0.25 0.051719\n0.50 0.184770\n0.75 0.809845\nName: 8827, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4414910000773584, std values: 5.105201807470777, min values: 1.2974e-06, max values: 43.29, median values: 0.21255, and quantile values: 0.25 0.061763\n0.50 0.212550\n0.75 0.764845\nName: 8828, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2268618034360252, std values: 4.489710875268546, min values: 1.7598e-08, max values: 36.438, median values: 0.15221, and quantile values: 0.25 0.037083\n0.50 0.152210\n0.75 0.632855\nName: 8829, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.492410467687654, std values: 4.846196129796737, min values: 2.4137e-08, max values: 39.392, median values: 0.20978, and quantile values: 0.25 0.05510\n0.50 0.20978\n0.75 0.98253\nName: 8830, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5657459968732075, std values: 4.897202014596692, min values: 8.4374e-07, max values: 38.828, median values: 0.24021, and quantile values: 0.25 0.065491\n0.50 0.240210\n0.75 1.034400\nName: 8831, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5660216509259122, std values: 5.082028891044029, min values: 3.0802e-07, max values: 43.207, median values: 0.22369, and quantile values: 0.25 0.054666\n0.50 0.223690\n0.75 0.919565\nName: 8832, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3773478054040378, std values: 4.669827801462082, min values: 2.0252e-08, max values: 36.867, median values: 0.16513, and quantile values: 0.25 0.048137\n0.50 0.165130\n0.75 0.771515\nName: 8833, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6804717282257864, std values: 5.293925870270893, min values: 3.1367e-06, max values: 43.978, median values: 0.27285, and quantile values: 0.25 0.079007\n0.50 0.272850\n0.75 1.073800\nName: 8834, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.382961989739975, std values: 4.645476787334542, min values: 2.8146e-08, max values: 36.71, median values: 0.17534, and quantile values: 0.25 0.046304\n0.50 0.175340\n0.75 0.777270\nName: 8835, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3947937444767926, std values: 4.887785930378009, min values: 1.4015e-07, max values: 41.238, median values: 0.16603, and quantile values: 0.25 0.047554\n0.50 0.166030\n0.75 0.839105\nName: 8836, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5827615196207547, std values: 5.170570588360121, min values: 1.386e-06, max values: 43.598, median values: 0.22282, and quantile values: 0.25 0.063382\n0.50 0.222820\n0.75 1.028850\nName: 8837, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.540270325283019, std values: 4.884821993955134, min values: 1.1043e-06, max values: 38.568, median values: 0.26171, and quantile values: 0.25 0.070487\n0.50 0.261710\n0.75 1.005650\nName: 8838, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5918936551137737, std values: 4.881687050330349, min values: 8.9319e-07, max values: 38.257, median values: 0.2498, and quantile values: 0.25 0.074090\n0.50 0.249800\n0.75 0.996695\nName: 8839, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3302114791475097, std values: 4.725502015935802, min values: 2.3954e-08, max values: 37.896, median values: 0.17612, and quantile values: 0.25 0.052897\n0.50 0.176120\n0.75 0.732970\nName: 8840, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5854424519496852, std values: 4.874091762365699, min values: 1.5622e-06, max values: 38.096, median values: 0.28334, and quantile values: 0.25 0.085601\n0.50 0.283340\n0.75 1.036700\nName: 8841, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3101699037889938, std values: 4.92772284416013, min values: 4.9405e-07, max values: 40.936, median values: 0.14943, and quantile values: 0.25 0.043698\n0.50 0.149430\n0.75 0.659440\nName: 8842, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5335371233495598, std values: 4.728538334374699, min values: 8.5498e-07, max values: 38.041, median values: 0.23828, and quantile values: 0.25 0.071262\n0.50 0.238280\n0.75 1.015105\nName: 8843, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.562544317847799, std values: 5.254531147283343, min values: 1.1916e-06, max values: 45.192, median values: 0.23947, and quantile values: 0.25 0.062877\n0.50 0.239470\n0.75 0.917820\nName: 8844, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5563130302295598, std values: 4.986707930456101, min values: 1.9711e-06, max values: 39.688, median values: 0.25293, and quantile values: 0.25 0.062346\n0.50 0.252930\n0.75 0.993085\nName: 8845, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.502499268227044, std values: 4.903982918754174, min values: 1.3504e-06, max values: 38.851, median values: 0.22047, and quantile values: 0.25 0.069527\n0.50 0.220470\n0.75 0.946735\nName: 8846, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5406495874295598, std values: 4.995751664029586, min values: 1.8735e-06, max values: 40.059, median values: 0.23693, and quantile values: 0.25 0.066557\n0.50 0.236930\n0.75 0.975820\nName: 8847, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5571165152931445, std values: 5.038608924621052, min values: 9.0651e-07, max values: 42.339, median values: 0.24544, and quantile values: 0.25 0.065661\n0.50 0.245440\n0.75 0.945085\nName: 8848, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.577381267734591, std values: 4.9440083100435634, min values: 1.933e-06, max values: 38.981, median values: 0.24436, and quantile values: 0.25 0.073397\n0.50 0.244360\n0.75 1.018500\nName: 8849, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3477815289169812, std values: 4.8721536584820475, min values: 1.3004e-06, max values: 39.729, median values: 0.17764, and quantile values: 0.25 0.052085\n0.50 0.177640\n0.75 0.709970\nName: 8850, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.448719940507547, std values: 4.867337124223863, min values: 2.0123e-06, max values: 39.699, median values: 0.23088, and quantile values: 0.25 0.065830\n0.50 0.230880\n0.75 0.951445\nName: 8851, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8177678089747795, std values: 5.177704497654598, min values: 6.2339e-07, max values: 41.786, median values: 0.2867, and quantile values: 0.25 0.069453\n0.50 0.286700\n0.75 1.340450\nName: 8852, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4467179106830188, std values: 4.831221364444965, min values: 1.4881e-06, max values: 38.644, median values: 0.2147, and quantile values: 0.25 0.062141\n0.50 0.214700\n0.75 0.917405\nName: 8853, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4295565483259118, std values: 4.642389812606718, min values: 7.4672e-07, max values: 37.442, median values: 0.22956, and quantile values: 0.25 0.065249\n0.50 0.229560\n0.75 0.862505\nName: 8854, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6520702741824524, std values: 4.922103724996999, min values: 2.5051e-07, max values: 39.16, median values: 0.30165, and quantile values: 0.25 0.068937\n0.50 0.301650\n0.75 1.163950\nName: 8855, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.438879555129434, std values: 4.881878582575592, min values: 8.2878e-07, max values: 39.746, median values: 0.21931, and quantile values: 0.25 0.062071\n0.50 0.219310\n0.75 0.828975\nName: 8856, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4341316072999999, std values: 4.992169015558671, min values: 2.8012e-06, max values: 40.366, median values: 0.20761, and quantile values: 0.25 0.058017\n0.50 0.207610\n0.75 0.776605\nName: 8857, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4975520381654088, std values: 5.077289661876567, min values: 1.133e-06, max values: 42.079, median values: 0.20953, and quantile values: 0.25 0.065056\n0.50 0.209530\n0.75 0.900690\nName: 8858, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2951355870924528, std values: 4.875329628999396, min values: 1.4345e-06, max values: 39.922, median values: 0.16512, and quantile values: 0.25 0.050905\n0.50 0.165120\n0.75 0.677865\nName: 8859, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6187789056069182, std values: 5.202255072850726, min values: 2.107e-06, max values: 42.565, median values: 0.25875, and quantile values: 0.25 0.065407\n0.50 0.258750\n0.75 1.101750\nName: 8860, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6589351477371068, std values: 5.000972482240867, min values: 2.9623e-06, max values: 39.41, median values: 0.30095, and quantile values: 0.25 0.086667\n0.50 0.300950\n0.75 1.070400\nName: 8861, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.519238215113962, std values: 4.9869657916149315, min values: 5.4772e-07, max values: 41.205, median values: 0.20135, and quantile values: 0.25 0.054566\n0.50 0.201350\n0.75 0.954740\nName: 8862, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4439543115157234, std values: 4.919250285458902, min values: 7.4089e-06, max values: 41.436, median values: 0.17062, and quantile values: 0.25 0.064685\n0.50 0.170620\n0.75 0.681230\nName: 8863, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4055101085612578, std values: 4.826487062579216, min values: 7.3164e-07, max values: 38.744, median values: 0.20079, and quantile values: 0.25 0.061538\n0.50 0.200790\n0.75 0.898805\nName: 8864, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4412170323650315, std values: 4.818676460073871, min values: 4.4664e-07, max values: 38.563, median values: 0.25395, and quantile values: 0.25 0.061147\n0.50 0.253950\n0.75 0.913290\nName: 8865, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3363125125880504, std values: 5.020576341025211, min values: 1.0995e-06, max values: 42.12, median values: 0.17055, and quantile values: 0.25 0.046314\n0.50 0.170550\n0.75 0.746270\nName: 8866, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8533104375056604, std values: 5.4829358309817895, min values: 3.8855e-06, max values: 45.616, median values: 0.31898, and quantile values: 0.25 0.086592\n0.50 0.318980\n0.75 1.271050\nName: 8867, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7417170995490567, std values: 5.0731394995450945, min values: 4.7973e-06, max values: 39.444, median values: 0.30102, and quantile values: 0.25 0.098411\n0.50 0.301020\n0.75 1.044100\nName: 8868, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.224422518389874, std values: 4.4969654281592994, min values: 3.7889e-07, max values: 38.184, median values: 0.15317, and quantile values: 0.25 0.043889\n0.50 0.153170\n0.75 0.667135\nName: 8869, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3268471380360378, std values: 4.584569024744653, min values: 6.631e-07, max values: 36.755, median values: 0.16031, and quantile values: 0.25 0.051355\n0.50 0.160310\n0.75 0.746555\nName: 8870, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3188226637510065, std values: 5.02531660204127, min values: 4.1091e-07, max values: 43.636, median values: 0.15988, and quantile values: 0.25 0.048236\n0.50 0.159880\n0.75 0.711980\nName: 8871, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2138594917571068, std values: 4.4751497969926275, min values: 2.1048e-07, max values: 37.407, median values: 0.15066, and quantile values: 0.25 0.043360\n0.50 0.150660\n0.75 0.644005\nName: 8872, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3653065309396226, std values: 4.728469607231021, min values: 2.7936e-06, max values: 39.719, median values: 0.19367, and quantile values: 0.25 0.063239\n0.50 0.193670\n0.75 0.772775\nName: 8873, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4961083743748427, std values: 4.935175652549062, min values: 1.2399e-06, max values: 39.567, median values: 0.21065, and quantile values: 0.25 0.063736\n0.50 0.210650\n0.75 0.898075\nName: 8874, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.503058886453396, std values: 4.925232527843634, min values: 2.0559e-07, max values: 40.735, median values: 0.24034, and quantile values: 0.25 0.059429\n0.50 0.240340\n0.75 0.914055\nName: 8875, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6269061568088052, std values: 5.193028873049323, min values: 3.0234e-06, max values: 42.708, median values: 0.24433, and quantile values: 0.25 0.074916\n0.50 0.244330\n0.75 1.041050\nName: 8876, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5099038662508868, std values: 4.8533427910567255, min values: 2.7251e-08, max values: 39.302, median values: 0.21994, and quantile values: 0.25 0.052124\n0.50 0.219940\n0.75 0.986400\nName: 8877, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2788505512145911, std values: 4.643778349684263, min values: 2.6362e-07, max values: 37.505, median values: 0.17328, and quantile values: 0.25 0.047778\n0.50 0.173280\n0.75 0.734035\nName: 8878, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3899541030754716, std values: 4.956492139595797, min values: 2.0074e-06, max values: 40.092, median values: 0.17777, and quantile values: 0.25 0.059726\n0.50 0.177770\n0.75 0.759100\nName: 8879, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.402321605718239, std values: 4.889726566287219, min values: 9.063e-07, max values: 39.895, median values: 0.21438, and quantile values: 0.25 0.061603\n0.50 0.214380\n0.75 0.800080\nName: 8880, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3602373717226417, std values: 4.808127751960098, min values: 1.5788e-06, max values: 38.922, median values: 0.2092, and quantile values: 0.25 0.059980\n0.50 0.209200\n0.75 0.847185\nName: 8881, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4473214264910061, std values: 4.934349932871314, min values: 9.8937e-07, max values: 40.27, median values: 0.22367, and quantile values: 0.25 0.055063\n0.50 0.223670\n0.75 0.833415\nName: 8882, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6151714098823897, std values: 4.857642815889339, min values: 1.203e-06, max values: 37.846, median values: 0.26504, and quantile values: 0.25 0.079147\n0.50 0.265040\n0.75 1.111700\nName: 8883, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8461341137779874, std values: 5.152066734277222, min values: 5.4055e-06, max values: 40.332, median values: 0.33935, and quantile values: 0.25 0.104055\n0.50 0.339350\n0.75 1.276750\nName: 8884, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.361437995532912, std values: 4.750327663802533, min values: 1.9293e-08, max values: 38.128, median values: 0.16344, and quantile values: 0.25 0.044042\n0.50 0.163440\n0.75 0.730330\nName: 8885, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4604429684767295, std values: 4.782137572881917, min values: 2.1413e-06, max values: 38.976, median values: 0.23498, and quantile values: 0.25 0.068382\n0.50 0.234980\n0.75 0.820025\nName: 8886, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4355269291679245, std values: 4.787761879149094, min values: 1.9309e-06, max values: 39.027, median values: 0.26058, and quantile values: 0.25 0.071881\n0.50 0.260580\n0.75 0.874600\nName: 8887, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5348639362867924, std values: 4.923467983325557, min values: 1.3554e-06, max values: 39.329, median values: 0.23204, and quantile values: 0.25 0.069500\n0.50 0.232040\n0.75 0.945135\nName: 8888, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5715197039503146, std values: 4.842173631771626, min values: 2.1564e-06, max values: 39.735, median values: 0.23618, and quantile values: 0.25 0.075384\n0.50 0.236180\n0.75 0.999230\nName: 8889, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4184822963461008, std values: 4.998192292891948, min values: 5.4793e-07, max values: 41.694, median values: 0.20542, and quantile values: 0.25 0.048787\n0.50 0.205420\n0.75 0.783350\nName: 8890, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9639653612232704, std values: 5.335584508941318, min values: 5.6584e-06, max values: 40.666, median values: 0.34669, and quantile values: 0.25 0.104975\n0.50 0.346690\n0.75 1.367650\nName: 8891, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6022367418396226, std values: 5.172491498459132, min values: 2.5714e-06, max values: 42.611, median values: 0.25553, and quantile values: 0.25 0.074727\n0.50 0.255530\n0.75 0.964460\nName: 8892, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5813340712, std values: 4.956618994333219, min values: 9.529e-07, max values: 39.858, median values: 0.27486, and quantile values: 0.25 0.072406\n0.50 0.274860\n0.75 1.021075\nName: 8893, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.432501538032453, std values: 4.802690910418908, min values: 5.8436e-07, max values: 38.241, median values: 0.22876, and quantile values: 0.25 0.058685\n0.50 0.228760\n0.75 0.871530\nName: 8894, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.403797083527673, std values: 4.8501839746517605, min values: 1.2868e-06, max values: 39.463, median values: 0.19566, and quantile values: 0.25 0.058489\n0.50 0.195660\n0.75 0.870020\nName: 8895, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4699265139880502, std values: 4.973064156344273, min values: 3.1982e-06, max values: 40.336, median values: 0.23137, and quantile values: 0.25 0.06312\n0.50 0.23137\n0.75 0.83464\nName: 8896, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5702853443408804, std values: 5.037965072045719, min values: 2.6206e-06, max values: 40.044, median values: 0.2596, and quantile values: 0.25 0.071143\n0.50 0.259600\n0.75 1.019235\nName: 8897, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.686579143655975, std values: 5.283735928297001, min values: 4.1173e-06, max values: 42.349, median values: 0.29826, and quantile values: 0.25 0.080205\n0.50 0.298260\n0.75 1.072300\nName: 8898, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2177941328937105, std values: 4.5804060867443255, min values: 7.476e-07, max values: 37.054, median values: 0.161, and quantile values: 0.25 0.04866\n0.50 0.16100\n0.75 0.61525\nName: 8899, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4435038683828931, std values: 4.941621115564573, min values: 7.6448e-07, max values: 40.469, median values: 0.24309, and quantile values: 0.25 0.061236\n0.50 0.243090\n0.75 0.857490\nName: 8900, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1933714818660377, std values: 5.01135924198703, min values: 1.1045e-06, max values: 43.031, median values: 0.12256, and quantile values: 0.25 0.030442\n0.50 0.122560\n0.75 0.500420\nName: 8901, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6795692387276728, std values: 5.193901123677633, min values: 2.0267e-06, max values: 43.023, median values: 0.26737, and quantile values: 0.25 0.079863\n0.50 0.267370\n0.75 1.187250\nName: 8902, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3489552685756603, std values: 4.6546165195193385, min values: 2.5373e-07, max values: 37.311, median values: 0.1874, and quantile values: 0.25 0.056944\n0.50 0.187400\n0.75 0.747135\nName: 8903, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5821640589459118, std values: 5.370369309569826, min values: 1.9631e-06, max values: 47.894, median values: 0.25902, and quantile values: 0.25 0.070611\n0.50 0.259020\n0.75 0.896285\nName: 8904, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6603471578532703, std values: 5.102720947951641, min values: 6.3147e-07, max values: 42.556, median values: 0.26468, and quantile values: 0.25 0.070355\n0.50 0.264680\n0.75 1.115000\nName: 8905, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.375460074633962, std values: 4.96855615202284, min values: 3.2428e-06, max values: 41.061, median values: 0.18873, and quantile values: 0.25 0.058139\n0.50 0.188730\n0.75 0.671665\nName: 8906, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5787264706025157, std values: 4.902756390978402, min values: 3.2047e-06, max values: 40.215, median values: 0.26256, and quantile values: 0.25 0.073652\n0.50 0.262560\n0.75 0.990830\nName: 8907, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4227478566110063, std values: 4.598652261324395, min values: 3.4545e-07, max values: 37.326, median values: 0.21798, and quantile values: 0.25 0.056389\n0.50 0.217980\n0.75 0.830360\nName: 8908, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4765743635371071, std values: 4.86545600289625, min values: 4.9133e-06, max values: 40.413, median values: 0.24314, and quantile values: 0.25 0.074151\n0.50 0.243140\n0.75 0.829280\nName: 8909, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.514637895284277, std values: 4.948670873606568, min values: 2.8254e-06, max values: 40.078, median values: 0.25191, and quantile values: 0.25 0.069222\n0.50 0.251910\n0.75 0.878110\nName: 8910, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3539686840861638, std values: 4.7427710766944235, min values: 3.0447e-06, max values: 40.033, median values: 0.20586, and quantile values: 0.25 0.064532\n0.50 0.205860\n0.75 0.747460\nName: 8911, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4452896292589308, std values: 4.676042885800312, min values: 6.7857e-07, max values: 38.295, median values: 0.22684, and quantile values: 0.25 0.065328\n0.50 0.226840\n0.75 0.874830\nName: 8912, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6212687090182392, std values: 5.115219289051597, min values: 2.35e-06, max values: 41.964, median values: 0.22873, and quantile values: 0.25 0.070914\n0.50 0.228730\n0.75 1.045550\nName: 8913, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2715793049578619, std values: 5.031448576188439, min values: 1.8023e-06, max values: 42.101, median values: 0.15399, and quantile values: 0.25 0.049329\n0.50 0.153990\n0.75 0.635945\nName: 8914, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2330187799742138, std values: 4.7679160659468796, min values: 1.23e-06, max values: 38.49, median values: 0.15656, and quantile values: 0.25 0.052179\n0.50 0.156560\n0.75 0.630135\nName: 8915, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4747426670490567, std values: 4.844100562320295, min values: 1.6645e-06, max values: 38.611, median values: 0.22979, and quantile values: 0.25 0.066361\n0.50 0.229790\n0.75 0.919395\nName: 8916, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3492180323930076, std values: 4.749894681435288, min values: 9.7882e-09, max values: 39.208, median values: 0.17514, and quantile values: 0.25 0.044197\n0.50 0.175140\n0.75 0.768930\nName: 8917, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.580996069772956, std values: 4.853829954466537, min values: 1.4036e-06, max values: 38.983, median values: 0.24864, and quantile values: 0.25 0.073716\n0.50 0.248640\n0.75 1.109400\nName: 8918, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.518443795291195, std values: 5.084892479915292, min values: 2.2603e-06, max values: 40.847, median values: 0.22695, and quantile values: 0.25 0.057616\n0.50 0.226950\n0.75 0.902515\nName: 8919, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2687472344159245, std values: 4.494742243225469, min values: 2.2027e-08, max values: 35.812, median values: 0.16135, and quantile values: 0.25 0.032658\n0.50 0.161350\n0.75 0.630155\nName: 8920, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3250289068817611, std values: 4.591423296492157, min values: 4.423e-07, max values: 37.603, median values: 0.17365, and quantile values: 0.25 0.047572\n0.50 0.173650\n0.75 0.707055\nName: 8921, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.318115584881761, std values: 4.635433563261892, min values: 2.1499e-06, max values: 40.004, median values: 0.21009, and quantile values: 0.25 0.057417\n0.50 0.210090\n0.75 0.764685\nName: 8922, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8028891565144654, std values: 5.06944763670904, min values: 4.1033e-06, max values: 38.851, median values: 0.3208, and quantile values: 0.25 0.085971\n0.50 0.320800\n0.75 1.198750\nName: 8923, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.476804789498742, std values: 4.889545081843892, min values: 4.7867e-06, max values: 40.397, median values: 0.23688, and quantile values: 0.25 0.067086\n0.50 0.236880\n0.75 0.818530\nName: 8924, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6162624978062896, std values: 5.099192439079976, min values: 2.6683e-06, max values: 41.182, median values: 0.28329, and quantile values: 0.25 0.07615\n0.50 0.28329\n0.75 1.07660\nName: 8925, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5276159037113208, std values: 4.970230192429098, min values: 3.5392e-06, max values: 39.868, median values: 0.22636, and quantile values: 0.25 0.074968\n0.50 0.226360\n0.75 0.974940\nName: 8926, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.722735588372956, std values: 5.071392564899466, min values: 2.084e-06, max values: 39.651, median values: 0.30695, and quantile values: 0.25 0.081307\n0.50 0.306950\n0.75 1.232250\nName: 8927, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4214483366018869, std values: 4.923418502440819, min values: 1.3441e-06, max values: 40.581, median values: 0.21254, and quantile values: 0.25 0.065375\n0.50 0.212540\n0.75 0.838370\nName: 8928, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3170279803037734, std values: 4.84252728237789, min values: 1.327e-06, max values: 39.544, median values: 0.16873, and quantile values: 0.25 0.052916\n0.50 0.168730\n0.75 0.672515\nName: 8929, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4909266431698112, std values: 5.213306857267154, min values: 1.8188e-06, max values: 45.284, median values: 0.22586, and quantile values: 0.25 0.065827\n0.50 0.225860\n0.75 0.823255\nName: 8930, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6818002648930817, std values: 5.103682902925037, min values: 5.73e-06, max values: 40.614, median values: 0.26502, and quantile values: 0.25 0.082729\n0.50 0.265020\n0.75 1.077350\nName: 8931, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4040196395669495, std values: 4.804394641436663, min values: 2.1265e-08, max values: 39.507, median values: 0.17647, and quantile values: 0.25 0.043894\n0.50 0.176470\n0.75 0.741715\nName: 8932, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4873932472296227, std values: 4.890167351851945, min values: 8.3171e-07, max values: 39.41, median values: 0.21741, and quantile values: 0.25 0.061184\n0.50 0.217410\n0.75 0.957500\nName: 8933, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.473707991473585, std values: 4.9480100509257445, min values: 2.7577e-06, max values: 39.623, median values: 0.24839, and quantile values: 0.25 0.067819\n0.50 0.248390\n0.75 0.868415\nName: 8934, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7845406178232703, std values: 5.353968386107326, min values: 4.4032e-06, max values: 43.901, median values: 0.30157, and quantile values: 0.25 0.084702\n0.50 0.301570\n0.75 1.184000\nName: 8935, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.360216055045283, std values: 4.818180473372275, min values: 1.4864e-06, max values: 38.952, median values: 0.21132, and quantile values: 0.25 0.054228\n0.50 0.211320\n0.75 0.823910\nName: 8936, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4647723107116981, std values: 4.873502141724385, min values: 2.0766e-07, max values: 39.749, median values: 0.19814, and quantile values: 0.25 0.055081\n0.50 0.198140\n0.75 0.868820\nName: 8937, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5830880113767296, std values: 5.070992625800933, min values: 1.2808e-06, max values: 41.95, median values: 0.20965, and quantile values: 0.25 0.068478\n0.50 0.209650\n0.75 1.002570\nName: 8938, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.864513002201887, std values: 5.428810082843572, min values: 2.6901e-06, max values: 44.894, median values: 0.30429, and quantile values: 0.25 0.085396\n0.50 0.304290\n0.75 1.354450\nName: 8939, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5605970162666667, std values: 4.988069786295535, min values: 1.7876e-06, max values: 40.009, median values: 0.24015, and quantile values: 0.25 0.067617\n0.50 0.240150\n0.75 0.921465\nName: 8940, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4137935312170378, std values: 4.703101845750556, min values: 1.6016e-08, max values: 38.78, median values: 0.15585, and quantile values: 0.25 0.032287\n0.50 0.155850\n0.75 0.764750\nName: 8941, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.45062203256222, std values: 4.88658961286884, min values: 6.6393e-08, max values: 40.195, median values: 0.18103, and quantile values: 0.25 0.048613\n0.50 0.181030\n0.75 0.823580\nName: 8942, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6940021148, std values: 5.317646009324705, min values: 3.3995e-06, max values: 44.078, median values: 0.25404, and quantile values: 0.25 0.074229\n0.50 0.254040\n0.75 1.118850\nName: 8943, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4322585374465409, std values: 5.127847333570968, min values: 2.3186e-06, max values: 42.735, median values: 0.20936, and quantile values: 0.25 0.060771\n0.50 0.209360\n0.75 0.783230\nName: 8944, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3326084229062891, std values: 4.751200883372513, min values: 2.6977e-06, max values: 39.66, median values: 0.18194, and quantile values: 0.25 0.057847\n0.50 0.181940\n0.75 0.716020\nName: 8945, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7102495297094338, std values: 5.08116049905041, min values: 4.1008e-06, max values: 39.918, median values: 0.28333, and quantile values: 0.25 0.083492\n0.50 0.283330\n0.75 1.126700\nName: 8946, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.193058651859874, std values: 4.618528266270051, min values: 2.0392e-07, max values: 37.439, median values: 0.14421, and quantile values: 0.25 0.039587\n0.50 0.144210\n0.75 0.620610\nName: 8947, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4055285015069183, std values: 4.8233838801737665, min values: 1.0457e-06, max values: 38.004, median values: 0.17413, and quantile values: 0.25 0.058779\n0.50 0.174130\n0.75 0.774155\nName: 8948, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3480770854643398, std values: 4.661113878901951, min values: 7.7783e-07, max values: 38.353, median values: 0.20283, and quantile values: 0.25 0.055569\n0.50 0.202830\n0.75 0.753455\nName: 8949, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2757013594337105, std values: 4.786024128986397, min values: 7.0216e-07, max values: 38.484, median values: 0.17125, and quantile values: 0.25 0.044678\n0.50 0.171250\n0.75 0.677875\nName: 8950, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2838355421146541, std values: 4.625882627770068, min values: 6.3493e-07, max values: 37.585, median values: 0.16433, and quantile values: 0.25 0.050248\n0.50 0.164330\n0.75 0.733740\nName: 8951, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6280353858744654, std values: 5.015642103422497, min values: 6.8624e-07, max values: 40.37, median values: 0.24452, and quantile values: 0.25 0.062338\n0.50 0.244520\n0.75 1.027150\nName: 8952, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.437293506386667, std values: 4.793176612779892, min values: 4.0568e-07, max values: 38.366, median values: 0.22137, and quantile values: 0.25 0.057559\n0.50 0.221370\n0.75 0.856075\nName: 8953, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4288191015603773, std values: 5.058569642946, min values: 0.0, max values: 41.236, median values: 0.21167, and quantile values: 0.25 0.054402\n0.50 0.211670\n0.75 0.742285\nName: 8954, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5439410426, std values: 4.7205780446935535, min values: 1.0801e-06, max values: 36.827, median values: 0.26292, and quantile values: 0.25 0.062749\n0.50 0.262920\n0.75 1.032550\nName: 8955, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6371048211037738, std values: 5.269991745439772, min values: 4.3942e-06, max values: 42.617, median values: 0.25961, and quantile values: 0.25 0.072107\n0.50 0.259610\n0.75 0.982525\nName: 8956, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5223704789339623, std values: 5.02217798250534, min values: 1.2213e-06, max values: 40.49, median values: 0.21399, and quantile values: 0.25 0.066713\n0.50 0.213990\n0.75 0.955300\nName: 8957, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4794594568879873, std values: 5.018730897915271, min values: 5.2179e-07, max values: 42.662, median values: 0.23578, and quantile values: 0.25 0.056458\n0.50 0.235780\n0.75 0.896020\nName: 8958, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5064425999924527, std values: 4.956314082789813, min values: 1.8213e-06, max values: 39.994, median values: 0.23863, and quantile values: 0.25 0.070857\n0.50 0.238630\n0.75 0.879890\nName: 8959, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.421567170525849, std values: 4.833186050910497, min values: 8.1751e-07, max values: 38.745, median values: 0.21781, and quantile values: 0.25 0.059235\n0.50 0.217810\n0.75 0.871695\nName: 8960, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.456947530443019, std values: 4.988172789827875, min values: 7.8764e-07, max values: 41.802, median values: 0.20068, and quantile values: 0.25 0.050620\n0.50 0.200680\n0.75 0.825805\nName: 8961, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3194094171666664, std values: 5.117030320371563, min values: 4.0555e-06, max values: 42.184, median values: 0.15991, and quantile values: 0.25 0.044673\n0.50 0.159910\n0.75 0.592205\nName: 8962, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4069934578714465, std values: 4.859488743085276, min values: 9.8226e-07, max values: 38.945, median values: 0.20618, and quantile values: 0.25 0.063906\n0.50 0.206180\n0.75 0.776880\nName: 8963, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7216285882949685, std values: 5.020838387764752, min values: 4.3822e-06, max values: 38.929, median values: 0.29982, and quantile values: 0.25 0.095129\n0.50 0.299820\n0.75 1.117950\nName: 8964, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5123947061962266, std values: 4.94070066532957, min values: 1.861e-06, max values: 39.156, median values: 0.23861, and quantile values: 0.25 0.061589\n0.50 0.238610\n0.75 0.922165\nName: 8965, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3064105044849055, std values: 4.6280221578361065, min values: 1.8809e-06, max values: 39.824, median values: 0.1907, and quantile values: 0.25 0.056471\n0.50 0.190700\n0.75 0.750520\nName: 8966, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4797629665761005, std values: 5.054358452463805, min values: 2.9315e-06, max values: 41.413, median values: 0.21784, and quantile values: 0.25 0.073606\n0.50 0.217840\n0.75 0.840625\nName: 8967, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5553936427490567, std values: 4.656124301490403, min values: 2.1221e-06, max values: 38.734, median values: 0.25635, and quantile values: 0.25 0.069831\n0.50 0.256350\n0.75 1.071650\nName: 8968, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5879377516955973, std values: 5.227385392327288, min values: 2.6076e-06, max values: 43.62, median values: 0.22684, and quantile values: 0.25 0.073986\n0.50 0.226840\n0.75 0.936430\nName: 8969, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4117659325031449, std values: 4.988411739129786, min values: 0.0, max values: 40.808, median values: 0.20665, and quantile values: 0.25 0.062939\n0.50 0.206650\n0.75 0.767085\nName: 8970, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6427090665000628, std values: 5.01294664820139, min values: 6.7031e-07, max values: 40.532, median values: 0.27588, and quantile values: 0.25 0.073572\n0.50 0.275880\n0.75 1.107700\nName: 8971, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4902804390220126, std values: 4.917295420475555, min values: 1.2798e-06, max values: 39.688, median values: 0.21834, and quantile values: 0.25 0.05926\n0.50 0.21834\n0.75 0.88020\nName: 8972, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5556969221738992, std values: 4.907278993610301, min values: 3.8035e-07, max values: 39.524, median values: 0.25925, and quantile values: 0.25 0.057517\n0.50 0.259250\n0.75 0.984435\nName: 8973, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4559191351111134, std values: 4.935522729064454, min values: 1.8967e-08, max values: 41.035, median values: 0.19279, and quantile values: 0.25 0.051490\n0.50 0.192790\n0.75 0.855845\nName: 8974, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4837082419737733, std values: 4.817958126936085, min values: 4.6073e-07, max values: 38.611, median values: 0.1777, and quantile values: 0.25 0.060913\n0.50 0.177700\n0.75 0.868735\nName: 8975, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7582035004088052, std values: 5.260304640001955, min values: 3.9585e-06, max values: 41.881, median values: 0.32487, and quantile values: 0.25 0.088961\n0.50 0.324870\n0.75 1.113800\nName: 8976, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3751033483933333, std values: 4.832508835386997, min values: 6.8684e-07, max values: 38.686, median values: 0.20158, and quantile values: 0.25 0.059642\n0.50 0.201580\n0.75 0.764695\nName: 8977, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.463865046328302, std values: 4.944345494215597, min values: 1.9498e-06, max values: 39.91, median values: 0.23571, and quantile values: 0.25 0.063096\n0.50 0.235710\n0.75 0.939000\nName: 8978, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5500146478339623, std values: 4.922889507566972, min values: 5.2881e-06, max values: 40.36, median values: 0.25855, and quantile values: 0.25 0.080152\n0.50 0.258550\n0.75 0.883605\nName: 8979, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.284486626266478, std values: 4.526816282719779, min values: 8.0767e-07, max values: 37.908, median values: 0.16776, and quantile values: 0.25 0.045746\n0.50 0.167760\n0.75 0.701040\nName: 8980, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5196756293874216, std values: 5.004781742970823, min values: 3.3582e-06, max values: 40.499, median values: 0.24299, and quantile values: 0.25 0.067692\n0.50 0.242990\n0.75 0.902450\nName: 8981, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4666780390591823, std values: 4.70517758074636, min values: 4.7601e-07, max values: 37.885, median values: 0.19393, and quantile values: 0.25 0.057115\n0.50 0.193930\n0.75 0.950095\nName: 8982, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2386167419874217, std values: 4.65010885056448, min values: 1.118e-06, max values: 37.351, median values: 0.14794, and quantile values: 0.25 0.054241\n0.50 0.147940\n0.75 0.595460\nName: 8983, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3458721003654088, std values: 4.75706041238289, min values: 4.7271e-06, max values: 41.093, median values: 0.1877, and quantile values: 0.25 0.058526\n0.50 0.187700\n0.75 0.688110\nName: 8984, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.683338201183019, std values: 5.0966205371343305, min values: 3.6758e-06, max values: 39.85, median values: 0.27785, and quantile values: 0.25 0.08212\n0.50 0.27785\n0.75 1.11960\nName: 8985, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3041770720847798, std values: 4.698889115194046, min values: 8.3298e-07, max values: 39.241, median values: 0.17532, and quantile values: 0.25 0.057578\n0.50 0.175320\n0.75 0.755135\nName: 8986, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.541287497164843, std values: 5.1013254697776915, min values: 6.2681e-07, max values: 43.65, median values: 0.24693, and quantile values: 0.25 0.059449\n0.50 0.246930\n0.75 0.928470\nName: 8987, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4995740725056603, std values: 5.108282617856562, min values: 2.3598e-06, max values: 42.79, median values: 0.23132, and quantile values: 0.25 0.068886\n0.50 0.231320\n0.75 0.933435\nName: 8988, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6364059706855343, std values: 5.158586723837565, min values: 4.0972e-06, max values: 40.888, median values: 0.25792, and quantile values: 0.25 0.074884\n0.50 0.257920\n0.75 0.990335\nName: 8989, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.932274784693082, std values: 5.266454471941896, min values: 5.4042e-06, max values: 40.418, median values: 0.33471, and quantile values: 0.25 0.09835\n0.50 0.33471\n0.75 1.34770\nName: 8990, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2799006648635218, std values: 4.937447663313305, min values: 1.0877e-06, max values: 41.859, median values: 0.13393, and quantile values: 0.25 0.044824\n0.50 0.133930\n0.75 0.626885\nName: 8991, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.424460117952453, std values: 4.777203048734477, min values: 9.7194e-07, max values: 38.364, median values: 0.19803, and quantile values: 0.25 0.063606\n0.50 0.198030\n0.75 0.853695\nName: 8992, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3761171953251572, std values: 4.736200249766084, min values: 1.9001e-06, max values: 38.414, median values: 0.20474, and quantile values: 0.25 0.065142\n0.50 0.204740\n0.75 0.734985\nName: 8993, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3258307406886793, std values: 4.694907840282818, min values: 2.4943e-06, max values: 40.508, median values: 0.18377, and quantile values: 0.25 0.055613\n0.50 0.183770\n0.75 0.721235\nName: 8994, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.47121530947522, std values: 4.953085852239942, min values: 8.2386e-07, max values: 40.504, median values: 0.22839, and quantile values: 0.25 0.064181\n0.50 0.228390\n0.75 0.848245\nName: 8995, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4731675259479748, std values: 4.887735290077199, min values: 3.1068e-08, max values: 40.37, median values: 0.24104, and quantile values: 0.25 0.047935\n0.50 0.241040\n0.75 0.874105\nName: 8996, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.578532719360377, std values: 5.029146426531794, min values: 3.1634e-06, max values: 39.937, median values: 0.24473, and quantile values: 0.25 0.072179\n0.50 0.244730\n0.75 0.972935\nName: 8997, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6414425882522012, std values: 5.030937251756405, min values: 1.8997e-06, max values: 39.868, median values: 0.2754, and quantile values: 0.25 0.080561\n0.50 0.275400\n0.75 1.111750\nName: 8998, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3595209271459119, std values: 4.713117000735055, min values: 1.4499e-07, max values: 37.721, median values: 0.20515, and quantile values: 0.25 0.051360\n0.50 0.205150\n0.75 0.781415\nName: 8999, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4126994247939686, std values: 4.77926063879366, min values: 2.5201e-08, max values: 39.138, median values: 0.19381, and quantile values: 0.25 0.047879\n0.50 0.193810\n0.75 0.775160\nName: 9000, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.637595174571698, std values: 5.090540309620095, min values: 2.5306e-06, max values: 40.733, median values: 0.29042, and quantile values: 0.25 0.079591\n0.50 0.290420\n0.75 1.061500\nName: 9001, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5532708627943397, std values: 4.806379293685798, min values: 1.3963e-06, max values: 39.214, median values: 0.22622, and quantile values: 0.25 0.059196\n0.50 0.226220\n0.75 1.056350\nName: 9002, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.575070012652201, std values: 5.231128718169675, min values: 2.6259e-06, max values: 43.437, median values: 0.21945, and quantile values: 0.25 0.064752\n0.50 0.219450\n0.75 0.939720\nName: 9003, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.526815697273585, std values: 4.948945220074343, min values: 4.4975e-06, max values: 40.17, median values: 0.2339, and quantile values: 0.25 0.074644\n0.50 0.233900\n0.75 0.915150\nName: 9004, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3504587832333335, std values: 5.019614489090962, min values: 8.843e-07, max values: 42.23, median values: 0.16912, and quantile values: 0.25 0.047615\n0.50 0.169120\n0.75 0.705660\nName: 9005, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6130316607182393, std values: 5.180190182769486, min values: 2.0368e-06, max values: 42.301, median values: 0.2468, and quantile values: 0.25 0.066810\n0.50 0.246800\n0.75 1.020285\nName: 9006, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.248544233841824, std values: 4.366702299079758, min values: 4.3865e-07, max values: 37.308, median values: 0.13916, and quantile values: 0.25 0.044785\n0.50 0.139160\n0.75 0.716300\nName: 9007, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.390081192583648, std values: 5.150753700756123, min values: 1.3969e-06, max values: 44.465, median values: 0.19053, and quantile values: 0.25 0.059047\n0.50 0.190530\n0.75 0.730750\nName: 9008, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.500620251481824, std values: 5.256393781760077, min values: 2.051e-08, max values: 47.029, median values: 0.18911, and quantile values: 0.25 0.050510\n0.50 0.189110\n0.75 0.800665\nName: 9009, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4782896922628932, std values: 4.740795709019955, min values: 2.0639e-06, max values: 39.001, median values: 0.22491, and quantile values: 0.25 0.071362\n0.50 0.224910\n0.75 0.892720\nName: 9010, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3271406941062895, std values: 4.808439753188665, min values: 1.0032e-06, max values: 38.646, median values: 0.17655, and quantile values: 0.25 0.057260\n0.50 0.176550\n0.75 0.745885\nName: 9011, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2451364492427672, std values: 4.730258295733645, min values: 1.0052e-06, max values: 38.837, median values: 0.16811, and quantile values: 0.25 0.050356\n0.50 0.168110\n0.75 0.667815\nName: 9012, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6124875698601258, std values: 4.915815879901501, min values: 8.4356e-07, max values: 38.975, median values: 0.23897, and quantile values: 0.25 0.064833\n0.50 0.238970\n0.75 1.083800\nName: 9013, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4840827767527045, std values: 4.825945414454682, min values: 4.7418e-07, max values: 38.207, median values: 0.23167, and quantile values: 0.25 0.060484\n0.50 0.231670\n0.75 0.940665\nName: 9014, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3581681598364779, std values: 4.752478698443056, min values: 2.3655e-06, max values: 39.307, median values: 0.17992, and quantile values: 0.25 0.056124\n0.50 0.179920\n0.75 0.781070\nName: 9015, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2981730246004404, std values: 4.824169202391683, min values: 8.7247e-07, max values: 38.764, median values: 0.17836, and quantile values: 0.25 0.050823\n0.50 0.178360\n0.75 0.704645\nName: 9016, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5842956465421383, std values: 5.071894072650166, min values: 2.1108e-06, max values: 41.37, median values: 0.272, and quantile values: 0.25 0.077142\n0.50 0.272000\n0.75 0.989605\nName: 9017, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5518048487842766, std values: 5.2867021679101, min values: 1.4726e-06, max values: 46.391, median values: 0.22159, and quantile values: 0.25 0.065565\n0.50 0.221590\n0.75 0.960620\nName: 9018, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7235118357232704, std values: 5.04175550293066, min values: 5.9202e-06, max values: 40.637, median values: 0.28929, and quantile values: 0.25 0.091219\n0.50 0.289290\n0.75 1.099200\nName: 9019, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6423294780031448, std values: 5.436494557889659, min values: 1.7683e-06, max values: 48.337, median values: 0.24331, and quantile values: 0.25 0.073051\n0.50 0.243310\n0.75 0.973025\nName: 9020, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5147829032132074, std values: 4.954127630882562, min values: 2.13e-06, max values: 39.835, median values: 0.23572, and quantile values: 0.25 0.06432\n0.50 0.23572\n0.75 0.96507\nName: 9021, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4371479602030817, std values: 4.84840368859808, min values: 5.9809e-07, max values: 39.734, median values: 0.2306, and quantile values: 0.25 0.06262\n0.50 0.23060\n0.75 0.84403\nName: 9022, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4854375716301886, std values: 5.190290337463144, min values: 3.1868e-06, max values: 43.205, median values: 0.22245, and quantile values: 0.25 0.065191\n0.50 0.222450\n0.75 0.799900\nName: 9023, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5009734903490566, std values: 4.724781142941611, min values: 2.4286e-06, max values: 39.142, median values: 0.22468, and quantile values: 0.25 0.063752\n0.50 0.224680\n0.75 0.936490\nName: 9024, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6947837945718867, std values: 5.081415663262419, min values: 9.9263e-07, max values: 40.491, median values: 0.27299, and quantile values: 0.25 0.07355\n0.50 0.27299\n0.75 1.14920\nName: 9025, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4618998731356603, std values: 4.834854863214496, min values: 7.9437e-07, max values: 38.682, median values: 0.19, and quantile values: 0.25 0.059744\n0.50 0.190000\n0.75 0.876995\nName: 9026, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.709581819278176, std values: 5.38520299439419, min values: 1.7423e-07, max values: 47.584, median values: 0.21253, and quantile values: 0.25 0.062817\n0.50 0.212530\n0.75 1.084750\nName: 9027, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3901562341012579, std values: 4.8657516198553985, min values: 2.7946e-06, max values: 39.541, median values: 0.18421, and quantile values: 0.25 0.060467\n0.50 0.184210\n0.75 0.785600\nName: 9028, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.484686464995472, std values: 4.956203862792935, min values: 8.6098e-07, max values: 41.009, median values: 0.22232, and quantile values: 0.25 0.063657\n0.50 0.222320\n0.75 0.888800\nName: 9029, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3425979062244653, std values: 4.905355805320585, min values: 8.8789e-07, max values: 41.19, median values: 0.19086, and quantile values: 0.25 0.057975\n0.50 0.190860\n0.75 0.758225\nName: 9030, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3795904057550945, std values: 4.64965210023095, min values: 3.9306e-07, max values: 37.839, median values: 0.20924, and quantile values: 0.25 0.061217\n0.50 0.209240\n0.75 0.802450\nName: 9031, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5645085764710063, std values: 5.257429258253299, min values: 5.1779e-07, max values: 46.081, median values: 0.21704, and quantile values: 0.25 0.058016\n0.50 0.217040\n0.75 0.919120\nName: 9032, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4252978683088051, std values: 5.0238229394746075, min values: 4.431e-06, max values: 41.274, median values: 0.21418, and quantile values: 0.25 0.06667\n0.50 0.21418\n0.75 0.70363\nName: 9033, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6244026471779875, std values: 5.101699782992631, min values: 2.5718e-06, max values: 41.213, median values: 0.27862, and quantile values: 0.25 0.073753\n0.50 0.278620\n0.75 1.061875\nName: 9034, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4719936351649687, std values: 4.950458135925568, min values: 3.4553e-07, max values: 40.989, median values: 0.22708, and quantile values: 0.25 0.054209\n0.50 0.227080\n0.75 0.911125\nName: 9035, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.543130049991824, std values: 5.041810065262975, min values: 2.7796e-06, max values: 40.998, median values: 0.23751, and quantile values: 0.25 0.071436\n0.50 0.237510\n0.75 0.943830\nName: 9036, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6800470103823897, std values: 5.080664836584339, min values: 2.2518e-06, max values: 40.331, median values: 0.31009, and quantile values: 0.25 0.082219\n0.50 0.310090\n0.75 1.129800\nName: 9037, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4780737168902516, std values: 4.689758626412389, min values: 7.2355e-07, max values: 38.44, median values: 0.22678, and quantile values: 0.25 0.067146\n0.50 0.226780\n0.75 0.969375\nName: 9038, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3621571405962265, std values: 4.796299002258512, min values: 1.9701e-06, max values: 39.516, median values: 0.18958, and quantile values: 0.25 0.057534\n0.50 0.189580\n0.75 0.762500\nName: 9039, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1589272226299372, std values: 4.716813065359349, min values: 6.6796e-07, max values: 38.682, median values: 0.12813, and quantile values: 0.25 0.043345\n0.50 0.128130\n0.75 0.555305\nName: 9040, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.444894958476981, std values: 4.764439744428686, min values: 7.6904e-07, max values: 37.571, median values: 0.2119, and quantile values: 0.25 0.060147\n0.50 0.211900\n0.75 0.859730\nName: 9041, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5560007070893083, std values: 5.259487695105445, min values: 4.2604e-06, max values: 42.967, median values: 0.24546, and quantile values: 0.25 0.074778\n0.50 0.245460\n0.75 0.848170\nName: 9042, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.484283448795843, std values: 5.369645443748037, min values: 1.6939e-08, max values: 49.482, median values: 0.1918, and quantile values: 0.25 0.055879\n0.50 0.191800\n0.75 0.873460\nName: 9043, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4902524739257863, std values: 4.908249474112493, min values: 4.63e-07, max values: 40.451, median values: 0.22358, and quantile values: 0.25 0.062237\n0.50 0.223580\n0.75 0.939320\nName: 9044, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5482851353830187, std values: 5.077032903268294, min values: 2.9124e-06, max values: 40.692, median values: 0.23899, and quantile values: 0.25 0.071012\n0.50 0.238990\n0.75 0.963155\nName: 9045, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3355954057226416, std values: 4.910966232147409, min values: 1.4413e-06, max values: 39.671, median values: 0.16064, and quantile values: 0.25 0.047591\n0.50 0.160640\n0.75 0.799815\nName: 9046, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7280705067937108, std values: 5.212273655026167, min values: 1.8614e-06, max values: 42.549, median values: 0.32467, and quantile values: 0.25 0.084292\n0.50 0.324670\n0.75 1.210600\nName: 9047, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4438880279670503, std values: 4.670505328590526, min values: 1.5691e-08, max values: 36.612, median values: 0.17893, and quantile values: 0.25 0.046308\n0.50 0.178930\n0.75 0.847745\nName: 9048, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5197688434520127, std values: 4.900052324587996, min values: 6.9147e-07, max values: 39.518, median values: 0.25171, and quantile values: 0.25 0.066682\n0.50 0.251710\n0.75 0.982370\nName: 9049, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5736060500949687, std values: 4.938183504713885, min values: 1.0956e-06, max values: 39.345, median values: 0.25147, and quantile values: 0.25 0.065698\n0.50 0.251470\n0.75 1.059050\nName: 9050, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6601313585874213, std values: 5.080958892163529, min values: 1.0075e-06, max values: 41.552, median values: 0.25257, and quantile values: 0.25 0.068492\n0.50 0.252570\n0.75 1.060300\nName: 9051, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3611909725106919, std values: 4.8020047905869685, min values: 1.1366e-06, max values: 38.605, median values: 0.17679, and quantile values: 0.25 0.054391\n0.50 0.176790\n0.75 0.777735\nName: 9052, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3968238202071448, std values: 4.616346085168099, min values: 2.0526e-08, max values: 36.612, median values: 0.16597, and quantile values: 0.25 0.047566\n0.50 0.165970\n0.75 0.844770\nName: 9053, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4147413380104148, std values: 4.986220957820883, min values: 1.4816e-08, max values: 42.49, median values: 0.17707, and quantile values: 0.25 0.05052\n0.50 0.17707\n0.75 0.77563\nName: 9054, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5261635439025154, std values: 4.946211712379217, min values: 1.4329e-06, max values: 39.4, median values: 0.25942, and quantile values: 0.25 0.068658\n0.50 0.259420\n0.75 0.890130\nName: 9055, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.644655366471698, std values: 5.116345884948342, min values: 3.9655e-06, max values: 40.586, median values: 0.25007, and quantile values: 0.25 0.078581\n0.50 0.250070\n0.75 1.035550\nName: 9056, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.409597601398868, std values: 5.031513453937581, min values: 8.3202e-07, max values: 42.295, median values: 0.2198, and quantile values: 0.25 0.062492\n0.50 0.219800\n0.75 0.794600\nName: 9057, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8937591318641511, std values: 5.5351991153215625, min values: 4.3434e-06, max values: 45.892, median values: 0.33461, and quantile values: 0.25 0.085078\n0.50 0.334610\n0.75 1.310700\nName: 9058, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6544486626773585, std values: 5.143684128588927, min values: 4.2624e-06, max values: 40.212, median values: 0.28425, and quantile values: 0.25 0.082078\n0.50 0.284250\n0.75 0.966605\nName: 9059, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6068079930867927, std values: 5.0642090119919425, min values: 6.693e-07, max values: 42.424, median values: 0.2516, and quantile values: 0.25 0.06747\n0.50 0.25160\n0.75 1.04745\nName: 9060, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2583831180966665, std values: 4.720176447142119, min values: 3.1597e-07, max values: 38.315, median values: 0.15446, and quantile values: 0.25 0.046013\n0.50 0.154460\n0.75 0.640320\nName: 9061, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.41949923380717, std values: 4.795548746117467, min values: 7.4694e-07, max values: 38.26, median values: 0.24421, and quantile values: 0.25 0.064394\n0.50 0.244210\n0.75 0.868990\nName: 9062, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6852266927276727, std values: 5.053005836723341, min values: 3.1996e-06, max values: 39.42, median values: 0.27572, and quantile values: 0.25 0.082838\n0.50 0.275720\n0.75 1.091700\nName: 9063, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5598512242251572, std values: 4.813330728418397, min values: 1.5913e-06, max values: 38.268, median values: 0.26809, and quantile values: 0.25 0.076671\n0.50 0.268090\n0.75 1.046800\nName: 9064, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3811031152935849, std values: 4.526165570863413, min values: 1.5298e-07, max values: 37.342, median values: 0.18228, and quantile values: 0.25 0.056772\n0.50 0.182280\n0.75 0.842415\nName: 9065, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3337613008069182, std values: 4.582559404033547, min values: 1.6374e-06, max values: 38.804, median values: 0.19022, and quantile values: 0.25 0.065421\n0.50 0.190220\n0.75 0.763255\nName: 9066, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4630853302503142, std values: 4.925239726205263, min values: 1.047e-06, max values: 39.647, median values: 0.2245, and quantile values: 0.25 0.050973\n0.50 0.224500\n0.75 0.887975\nName: 9067, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.804772392916981, std values: 5.180010769126387, min values: 3.642e-06, max values: 40.117, median values: 0.30681, and quantile values: 0.25 0.08231\n0.50 0.30681\n0.75 1.20110\nName: 9068, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4854800002295596, std values: 4.826694691665912, min values: 1.9744e-06, max values: 39.216, median values: 0.21926, and quantile values: 0.25 0.063267\n0.50 0.219260\n0.75 0.965530\nName: 9069, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7422948218308176, std values: 5.155999869203094, min values: 1.1332e-06, max values: 41.823, median values: 0.24662, and quantile values: 0.25 0.070599\n0.50 0.246620\n0.75 1.134850\nName: 9070, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2559679531685533, std values: 4.754018280385681, min values: 1.4397e-06, max values: 38.854, median values: 0.16028, and quantile values: 0.25 0.048793\n0.50 0.160280\n0.75 0.635900\nName: 9071, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3583900820779875, std values: 4.938939892372183, min values: 1.392e-06, max values: 40.794, median values: 0.17963, and quantile values: 0.25 0.051181\n0.50 0.179630\n0.75 0.739500\nName: 9072, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.413526012734654, std values: 4.777793094395942, min values: 5.1511e-07, max values: 38.313, median values: 0.1985, and quantile values: 0.25 0.065516\n0.50 0.198500\n0.75 0.815605\nName: 9073, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3644686582963519, std values: 4.783452144351134, min values: 1.752e-08, max values: 38.978, median values: 0.17768, and quantile values: 0.25 0.053782\n0.50 0.177680\n0.75 0.818040\nName: 9074, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5126811195490566, std values: 4.89015167983177, min values: 1.9595e-06, max values: 38.837, median values: 0.25285, and quantile values: 0.25 0.069980\n0.50 0.252850\n0.75 0.970745\nName: 9075, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.34053431553522, std values: 4.742588729147454, min values: 2.3529e-06, max values: 39.44, median values: 0.19053, and quantile values: 0.25 0.062896\n0.50 0.190530\n0.75 0.743650\nName: 9076, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4745358311226415, std values: 4.878416897176157, min values: 1.2187e-06, max values: 38.805, median values: 0.21119, and quantile values: 0.25 0.061991\n0.50 0.211190\n0.75 0.851240\nName: 9077, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5051019406084905, std values: 5.043417025520778, min values: 8.0485e-07, max values: 41.845, median values: 0.23249, and quantile values: 0.25 0.071544\n0.50 0.232490\n0.75 0.932170\nName: 9078, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.509941623718239, std values: 5.01131554657503, min values: 2.9944e-06, max values: 40.06, median values: 0.26962, and quantile values: 0.25 0.072044\n0.50 0.269620\n0.75 0.914430\nName: 9079, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4083962839184905, std values: 4.656912597363208, min values: 5.2204e-07, max values: 38.05, median values: 0.21126, and quantile values: 0.25 0.060769\n0.50 0.211260\n0.75 0.839870\nName: 9080, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4761357575534593, std values: 4.974742406171869, min values: 4.4419e-06, max values: 40.084, median values: 0.21957, and quantile values: 0.25 0.071097\n0.50 0.219570\n0.75 0.843750\nName: 9081, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4666713427113207, std values: 5.0091675857863915, min values: 3.279e-06, max values: 41.336, median values: 0.20466, and quantile values: 0.25 0.068875\n0.50 0.204660\n0.75 0.836225\nName: 9082, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3972716187207548, std values: 4.9829146502784125, min values: 3.2677e-06, max values: 40.43, median values: 0.19813, and quantile values: 0.25 0.05932\n0.50 0.19813\n0.75 0.74638\nName: 9083, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9829923655257862, std values: 5.405501033971488, min values: 6.4876e-06, max values: 41.067, median values: 0.33751, and quantile values: 0.25 0.087376\n0.50 0.337510\n0.75 1.344150\nName: 9084, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5866813880025157, std values: 4.898878748924246, min values: 2.4601e-06, max values: 38.695, median values: 0.26337, and quantile values: 0.25 0.075644\n0.50 0.263370\n0.75 1.033870\nName: 9085, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4042605169395599, std values: 4.8638508990155, min values: 5.8199e-07, max values: 39.36, median values: 0.17739, and quantile values: 0.25 0.052201\n0.50 0.177390\n0.75 0.833610\nName: 9086, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2777748655684904, std values: 4.755971649400712, min values: 6.4429e-07, max values: 39.038, median values: 0.17458, and quantile values: 0.25 0.046066\n0.50 0.174580\n0.75 0.694550\nName: 9087, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5197003144691825, std values: 5.124387205899604, min values: 3.2589e-06, max values: 41.601, median values: 0.24125, and quantile values: 0.25 0.073787\n0.50 0.241250\n0.75 0.882110\nName: 9088, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5095470831670441, std values: 4.957325975144205, min values: 8.2406e-07, max values: 40.443, median values: 0.21599, and quantile values: 0.25 0.062088\n0.50 0.215990\n0.75 0.955735\nName: 9089, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2948695118562263, std values: 4.73979073991656, min values: 8.5394e-07, max values: 38.311, median values: 0.19049, and quantile values: 0.25 0.047945\n0.50 0.190490\n0.75 0.665395\nName: 9090, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3748288505761004, std values: 5.120423423226189, min values: 1.4659e-06, max values: 44.465, median values: 0.19197, and quantile values: 0.25 0.056856\n0.50 0.191970\n0.75 0.722110\nName: 9091, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3888894142691826, std values: 4.867771055199949, min values: 1.5506e-06, max values: 39.216, median values: 0.1719, and quantile values: 0.25 0.055185\n0.50 0.171900\n0.75 0.798240\nName: 9092, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8224977707433963, std values: 5.199631928578102, min values: 2.1376e-06, max values: 41.159, median values: 0.33461, and quantile values: 0.25 0.094185\n0.50 0.334610\n0.75 1.272500\nName: 9093, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.476446055291824, std values: 4.958833154036739, min values: 2.478e-06, max values: 39.919, median values: 0.22906, and quantile values: 0.25 0.064340\n0.50 0.229060\n0.75 0.872095\nName: 9094, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7450950787364778, std values: 5.144255857875935, min values: 1.9389e-06, max values: 40.713, median values: 0.29078, and quantile values: 0.25 0.080472\n0.50 0.290780\n0.75 1.179650\nName: 9095, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8040677821597484, std values: 4.946315593611379, min values: 1.5189e-06, max values: 37.218, median values: 0.30049, and quantile values: 0.25 0.079371\n0.50 0.300490\n0.75 1.382850\nName: 9096, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6518054230440251, std values: 5.038857496400095, min values: 2.7726e-06, max values: 39.643, median values: 0.28388, and quantile values: 0.25 0.079196\n0.50 0.283880\n0.75 1.115500\nName: 9097, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2726847851973584, std values: 4.880261626342616, min values: 7.3988e-07, max values: 40.087, median values: 0.14324, and quantile values: 0.25 0.044294\n0.50 0.143240\n0.75 0.606525\nName: 9098, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3925098955660378, std values: 4.626658761806216, min values: 1.5449e-06, max values: 38.909, median values: 0.2246, and quantile values: 0.25 0.063131\n0.50 0.224600\n0.75 0.821625\nName: 9099, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5116015227926667, std values: 4.818291499606786, min values: 9.4694e-08, max values: 39.096, median values: 0.21494, and quantile values: 0.25 0.046939\n0.50 0.214940\n0.75 1.049650\nName: 9100, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4582309285295598, std values: 4.775907811536589, min values: 2.5811e-06, max values: 38.755, median values: 0.22208, and quantile values: 0.25 0.067209\n0.50 0.222080\n0.75 0.896360\nName: 9101, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.444524201446415, std values: 4.63706701623336, min values: 8.2378e-07, max values: 38.193, median values: 0.24629, and quantile values: 0.25 0.069335\n0.50 0.246290\n0.75 0.803675\nName: 9102, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5459010066862642, std values: 5.1790332833574535, min values: 1.8716e-08, max values: 45.023, median values: 0.19438, and quantile values: 0.25 0.045527\n0.50 0.194380\n0.75 0.886195\nName: 9103, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4461245984830187, std values: 4.990712042457094, min values: 1.9306e-06, max values: 40.702, median values: 0.2378, and quantile values: 0.25 0.063699\n0.50 0.237800\n0.75 0.794060\nName: 9104, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4408823596536477, std values: 4.874993655458177, min values: 6.3823e-07, max values: 39.838, median values: 0.22946, and quantile values: 0.25 0.061077\n0.50 0.229460\n0.75 0.874230\nName: 9105, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.323523888667673, std values: 4.838789202614728, min values: 7.3406e-07, max values: 39.71, median values: 0.18352, and quantile values: 0.25 0.056199\n0.50 0.183520\n0.75 0.726680\nName: 9106, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.440764439564088, std values: 5.0508111598472185, min values: 8.4069e-07, max values: 43.435, median values: 0.20825, and quantile values: 0.25 0.061204\n0.50 0.208250\n0.75 0.808390\nName: 9107, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5258573563540878, std values: 5.107941634258964, min values: 1.837e-06, max values: 42.976, median values: 0.23985, and quantile values: 0.25 0.068027\n0.50 0.239850\n0.75 0.919040\nName: 9108, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6851335316006293, std values: 5.077248232488824, min values: 1.5119e-06, max values: 40.717, median values: 0.29282, and quantile values: 0.25 0.084951\n0.50 0.292820\n0.75 1.108850\nName: 9109, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.555083710064151, std values: 4.958294148065076, min values: 3.2068e-06, max values: 39.242, median values: 0.27964, and quantile values: 0.25 0.071434\n0.50 0.279640\n0.75 1.000425\nName: 9110, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.505800444798742, std values: 4.756280415191773, min values: 3.5498e-06, max values: 40.585, median values: 0.25589, and quantile values: 0.25 0.058587\n0.50 0.255890\n0.75 0.918235\nName: 9111, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.642825243786283, std values: 5.202517054720186, min values: 3.5519e-08, max values: 45.053, median values: 0.23702, and quantile values: 0.25 0.059801\n0.50 0.237020\n0.75 1.152800\nName: 9112, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6810584827771697, std values: 5.230606114354108, min values: 4.6457e-07, max values: 44.636, median values: 0.22127, and quantile values: 0.25 0.060561\n0.50 0.221270\n0.75 1.081850\nName: 9113, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.393326649981132, std values: 4.723825906967419, min values: 1.317e-06, max values: 38.391, median values: 0.21467, and quantile values: 0.25 0.064918\n0.50 0.214670\n0.75 0.813630\nName: 9114, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3792593412497485, std values: 5.156190224548228, min values: 8.4271e-07, max values: 46.102, median values: 0.16436, and quantile values: 0.25 0.050599\n0.50 0.164360\n0.75 0.717015\nName: 9115, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.204751401224654, std values: 4.531845792859906, min values: 7.5822e-07, max values: 38.324, median values: 0.13967, and quantile values: 0.25 0.043641\n0.50 0.139670\n0.75 0.637515\nName: 9116, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5542561403138364, std values: 4.951548195207045, min values: 4.3579e-06, max values: 40.118, median values: 0.25363, and quantile values: 0.25 0.079482\n0.50 0.253630\n0.75 0.895915\nName: 9117, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8044927447182393, std values: 5.576101433650134, min values: 6.6942e-06, max values: 46.719, median values: 0.31166, and quantile values: 0.25 0.081112\n0.50 0.311660\n0.75 1.083900\nName: 9118, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3085911005750315, std values: 4.656980354418171, min values: 2.9963e-07, max values: 37.047, median values: 0.17564, and quantile values: 0.25 0.050928\n0.50 0.175640\n0.75 0.748975\nName: 9119, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2392774632913208, std values: 4.538899841996713, min values: 5.6812e-07, max values: 37.384, median values: 0.17034, and quantile values: 0.25 0.050747\n0.50 0.170340\n0.75 0.638650\nName: 9120, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5558674423754717, std values: 4.834835990675903, min values: 2.8706e-06, max values: 39.122, median values: 0.28687, and quantile values: 0.25 0.074038\n0.50 0.286870\n0.75 0.967200\nName: 9121, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6076495210477988, std values: 4.982918100601165, min values: 1.4687e-06, max values: 39.757, median values: 0.2947, and quantile values: 0.25 0.074820\n0.50 0.294700\n0.75 1.005435\nName: 9122, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8656300912368555, std values: 5.085325588111208, min values: 9.0116e-07, max values: 38.586, median values: 0.31549, and quantile values: 0.25 0.079408\n0.50 0.315490\n0.75 1.383950\nName: 9123, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4969063472474844, std values: 4.849229514366322, min values: 1.5427e-07, max values: 38.97, median values: 0.16681, and quantile values: 0.25 0.049111\n0.50 0.166810\n0.75 0.880415\nName: 9124, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9651699009106918, std values: 5.549854063221301, min values: 2.9295e-06, max values: 46.276, median values: 0.3375, and quantile values: 0.25 0.086281\n0.50 0.337500\n0.75 1.446000\nName: 9125, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3690325383264152, std values: 5.015676884587596, min values: 1.5164e-06, max values: 41.584, median values: 0.19015, and quantile values: 0.25 0.062429\n0.50 0.190150\n0.75 0.786740\nName: 9126, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5225892113800001, std values: 5.03936015317888, min values: 9.4372e-07, max values: 41.844, median values: 0.22749, and quantile values: 0.25 0.069967\n0.50 0.227490\n0.75 0.939015\nName: 9127, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3719233017899999, std values: 4.8859919198116, min values: 7.5501e-07, max values: 40.161, median values: 0.18728, and quantile values: 0.25 0.053188\n0.50 0.187280\n0.75 0.753655\nName: 9128, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9104169727698113, std values: 5.1878107215428315, min values: 5.2514e-06, max values: 39.757, median values: 0.35803, and quantile values: 0.25 0.094992\n0.50 0.358030\n0.75 1.327900\nName: 9129, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4403683295937109, std values: 4.951263335016395, min values: 3.9255e-06, max values: 40.724, median values: 0.21664, and quantile values: 0.25 0.061971\n0.50 0.216640\n0.75 0.711870\nName: 9130, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5264539390760377, std values: 4.815811446814551, min values: 5.8639e-07, max values: 38.141, median values: 0.21375, and quantile values: 0.25 0.065411\n0.50 0.213750\n0.75 1.035550\nName: 9131, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4833285196302515, std values: 4.80353657493597, min values: 3.1303e-07, max values: 38.315, median values: 0.189, and quantile values: 0.25 0.057841\n0.50 0.189000\n0.75 0.855320\nName: 9132, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4612220815708805, std values: 4.964221538591083, min values: 7.8127e-07, max values: 40.664, median values: 0.24415, and quantile values: 0.25 0.068780\n0.50 0.244150\n0.75 0.833745\nName: 9133, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4562062304830818, std values: 4.940355391898714, min values: 2.238e-07, max values: 42.191, median values: 0.19891, and quantile values: 0.25 0.056394\n0.50 0.198910\n0.75 0.840300\nName: 9134, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5788089696549055, std values: 4.935010323173814, min values: 4.4443e-07, max values: 39.044, median values: 0.23314, and quantile values: 0.25 0.058485\n0.50 0.233140\n0.75 1.059900\nName: 9135, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.627454732400629, std values: 4.944693963725919, min values: 4.685e-06, max values: 39.906, median values: 0.28158, and quantile values: 0.25 0.087895\n0.50 0.281580\n0.75 1.028700\nName: 9136, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5049687354127672, std values: 4.719089689594151, min values: 6.1943e-07, max values: 36.553, median values: 0.23122, and quantile values: 0.25 0.061920\n0.50 0.231220\n0.75 0.876625\nName: 9137, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5381159557194968, std values: 5.037030532355546, min values: 2.6155e-06, max values: 40.253, median values: 0.22142, and quantile values: 0.25 0.063367\n0.50 0.221420\n0.75 0.928320\nName: 9138, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4348846597660379, std values: 4.795144941426692, min values: 1.5257e-06, max values: 38.836, median values: 0.21807, and quantile values: 0.25 0.060056\n0.50 0.218070\n0.75 0.875815\nName: 9139, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.734484905553459, std values: 5.112325850828444, min values: 3.1932e-06, max values: 39.805, median values: 0.32332, and quantile values: 0.25 0.086374\n0.50 0.323320\n0.75 1.095650\nName: 9140, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.396662306600629, std values: 4.93286528341202, min values: 1.1886e-06, max values: 40.658, median values: 0.20399, and quantile values: 0.25 0.063811\n0.50 0.203990\n0.75 0.798565\nName: 9141, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5546826508220126, std values: 4.8779050358679115, min values: 3.0354e-06, max values: 40.189, median values: 0.23553, and quantile values: 0.25 0.076672\n0.50 0.235530\n0.75 0.975645\nName: 9142, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4811663535849056, std values: 5.014345947284124, min values: 1.5002e-06, max values: 41.764, median values: 0.23965, and quantile values: 0.25 0.069425\n0.50 0.239650\n0.75 0.878950\nName: 9143, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.354356057445283, std values: 4.819434462956865, min values: 3.1142e-06, max values: 40.785, median values: 0.18807, and quantile values: 0.25 0.060299\n0.50 0.188070\n0.75 0.646360\nName: 9144, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7183605677808995, std values: 4.926498427457296, min values: 3.5313e-08, max values: 39.271, median values: 0.28963, and quantile values: 0.25 0.061422\n0.50 0.289630\n0.75 1.196850\nName: 9145, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8604634961459117, std values: 5.116454205606779, min values: 5.1121e-06, max values: 39.815, median values: 0.3433, and quantile values: 0.25 0.09739\n0.50 0.34330\n0.75 1.26395\nName: 9146, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4006404263277359, std values: 4.73988808292494, min values: 5.1391e-07, max values: 37.522, median values: 0.19241, and quantile values: 0.25 0.055926\n0.50 0.192410\n0.75 0.755555\nName: 9147, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3828772382120758, std values: 4.931680185389964, min values: 5.2062e-07, max values: 40.969, median values: 0.18879, and quantile values: 0.25 0.052835\n0.50 0.188790\n0.75 0.737725\nName: 9148, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5763636509427674, std values: 4.994226719290973, min values: 1.2235e-06, max values: 40.341, median values: 0.24626, and quantile values: 0.25 0.068887\n0.50 0.246260\n0.75 1.061250\nName: 9149, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5691339400849056, std values: 5.280989538898249, min values: 3.5426e-06, max values: 43.749, median values: 0.27267, and quantile values: 0.25 0.076632\n0.50 0.272670\n0.75 0.916455\nName: 9150, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5777768317534593, std values: 5.04370834010966, min values: 1.2039e-06, max values: 41.444, median values: 0.25885, and quantile values: 0.25 0.067835\n0.50 0.258850\n0.75 1.026790\nName: 9151, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1013134809654086, std values: 4.656273501734876, min values: 1.3299e-07, max values: 38.096, median values: 0.099833, and quantile values: 0.25 0.031262\n0.50 0.099833\n0.75 0.498460\nName: 9152, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.528846128069937, std values: 4.899548663226311, min values: 8.9772e-07, max values: 39.205, median values: 0.25793, and quantile values: 0.25 0.069255\n0.50 0.257930\n0.75 0.987435\nName: 9153, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3377303850044213, std values: 4.589366925471572, min values: 2.6603e-08, max values: 37.291, median values: 0.17549, and quantile values: 0.25 0.050319\n0.50 0.175490\n0.75 0.789160\nName: 9154, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2785617901441508, std values: 4.625189955257746, min values: 9.8772e-07, max values: 38.271, median values: 0.17689, and quantile values: 0.25 0.051311\n0.50 0.176890\n0.75 0.719515\nName: 9155, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5989552454496856, std values: 4.963625417210115, min values: 2.3526e-06, max values: 39.356, median values: 0.24796, and quantile values: 0.25 0.075216\n0.50 0.247960\n0.75 1.020850\nName: 9156, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3956520791227045, std values: 4.881514829400482, min values: 1.664e-08, max values: 41.292, median values: 0.16454, and quantile values: 0.25 0.033232\n0.50 0.164540\n0.75 0.709215\nName: 9157, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.599348066108176, std values: 5.003892167688349, min values: 1.4006e-06, max values: 40.414, median values: 0.26584, and quantile values: 0.25 0.074024\n0.50 0.265840\n0.75 1.052600\nName: 9158, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5476332601317608, std values: 5.166375920453903, min values: 1.8315e-07, max values: 44.793, median values: 0.20588, and quantile values: 0.25 0.055746\n0.50 0.205880\n0.75 0.874670\nName: 9159, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4541295619836476, std values: 5.010293862896011, min values: 2.178e-06, max values: 40.927, median values: 0.2326, and quantile values: 0.25 0.062855\n0.50 0.232600\n0.75 0.863505\nName: 9160, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.653410641537107, std values: 4.92371788785556, min values: 1.4257e-06, max values: 38.612, median values: 0.29973, and quantile values: 0.25 0.072951\n0.50 0.299730\n0.75 1.159000\nName: 9161, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4216742927163522, std values: 4.853460437774194, min values: 9.284e-07, max values: 38.846, median values: 0.18439, and quantile values: 0.25 0.054003\n0.50 0.184390\n0.75 0.854885\nName: 9162, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2928125906778931, std values: 4.681967146225936, min values: 1.4385e-08, max values: 37.482, median values: 0.16378, and quantile values: 0.25 0.050863\n0.50 0.163780\n0.75 0.736245\nName: 9163, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.611359304508805, std values: 5.023899793143808, min values: 3.2026e-06, max values: 39.724, median values: 0.28218, and quantile values: 0.25 0.07890\n0.50 0.28218\n0.75 1.01420\nName: 9164, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5088154745270441, std values: 4.685848574344508, min values: 1.0986e-06, max values: 38.848, median values: 0.25536, and quantile values: 0.25 0.069749\n0.50 0.255360\n0.75 0.977165\nName: 9165, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4136271772264148, std values: 5.106585672500421, min values: 2.0277e-06, max values: 42.684, median values: 0.20622, and quantile values: 0.25 0.05795\n0.50 0.20622\n0.75 0.79615\nName: 9166, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5356787718452831, std values: 4.750217425580512, min values: 2.6624e-06, max values: 39.468, median values: 0.24982, and quantile values: 0.25 0.070753\n0.50 0.249820\n0.75 0.973120\nName: 9167, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4885638068415092, std values: 4.945686887758343, min values: 2.8611e-06, max values: 39.889, median values: 0.22656, and quantile values: 0.25 0.069417\n0.50 0.226560\n0.75 0.902485\nName: 9168, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4173216876893082, std values: 4.789919169518988, min values: 2.0628e-06, max values: 40.066, median values: 0.20325, and quantile values: 0.25 0.058792\n0.50 0.203250\n0.75 0.882795\nName: 9169, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.254510689466415, std values: 4.639359521249231, min values: 2.4809e-07, max values: 37.384, median values: 0.17692, and quantile values: 0.25 0.047366\n0.50 0.176920\n0.75 0.677360\nName: 9170, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6236161546044028, std values: 5.023013895788081, min values: 3.02e-06, max values: 40.031, median values: 0.23724, and quantile values: 0.25 0.067764\n0.50 0.237240\n0.75 1.025650\nName: 9171, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.325284576302264, std values: 4.490980892931633, min values: 2.6876e-07, max values: 36.973, median values: 0.1971, and quantile values: 0.25 0.059776\n0.50 0.197100\n0.75 0.751625\nName: 9172, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3833347006396226, std values: 4.66102106029573, min values: 1.8897e-06, max values: 38.898, median values: 0.20542, and quantile values: 0.25 0.055655\n0.50 0.205420\n0.75 0.849015\nName: 9173, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5015862344601887, std values: 4.955822897982884, min values: 5.4467e-07, max values: 40.849, median values: 0.1901, and quantile values: 0.25 0.053405\n0.50 0.190100\n0.75 0.868780\nName: 9174, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4237674424131699, std values: 4.87851424743093, min values: 9.4194e-08, max values: 40.578, median values: 0.18012, and quantile values: 0.25 0.048572\n0.50 0.180120\n0.75 0.763925\nName: 9175, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.384810655613522, std values: 4.760727378944093, min values: 7.3355e-07, max values: 38.211, median values: 0.21138, and quantile values: 0.25 0.057301\n0.50 0.211380\n0.75 0.780870\nName: 9176, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2837496562738364, std values: 4.8336492398795485, min values: 2.7254e-07, max values: 39.775, median values: 0.16826, and quantile values: 0.25 0.043846\n0.50 0.168260\n0.75 0.663100\nName: 9177, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5140791494490569, std values: 5.105637003139261, min values: 7.1284e-06, max values: 42.324, median values: 0.21201, and quantile values: 0.25 0.076638\n0.50 0.212010\n0.75 0.813260\nName: 9178, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4169430535255974, std values: 5.019055597615588, min values: 1.2214e-07, max values: 43.763, median values: 0.17499, and quantile values: 0.25 0.049477\n0.50 0.174990\n0.75 0.774125\nName: 9179, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.403330449983585, std values: 4.956628718466243, min values: 1.2798e-07, max values: 42.224, median values: 0.18097, and quantile values: 0.25 0.048828\n0.50 0.180970\n0.75 0.787850\nName: 9180, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3692669521522014, std values: 4.903802743636833, min values: 2.3359e-06, max values: 39.347, median values: 0.19493, and quantile values: 0.25 0.062065\n0.50 0.194930\n0.75 0.763335\nName: 9181, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5098042239899372, std values: 5.145878279394329, min values: 5.415e-07, max values: 44.801, median values: 0.1726, and quantile values: 0.25 0.061143\n0.50 0.172600\n0.75 0.841775\nName: 9182, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5750053995220126, std values: 4.934835102892328, min values: 1.572e-06, max values: 38.898, median values: 0.24003, and quantile values: 0.25 0.072629\n0.50 0.240030\n0.75 1.043530\nName: 9183, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7182670180923272, std values: 5.001532501297695, min values: 5.5068e-07, max values: 39.37, median values: 0.2854, and quantile values: 0.25 0.071082\n0.50 0.285400\n0.75 1.206800\nName: 9184, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3950101088505658, std values: 4.9224845144136635, min values: 9.3584e-07, max values: 39.778, median values: 0.20511, and quantile values: 0.25 0.054467\n0.50 0.205110\n0.75 0.881590\nName: 9185, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4583834645184905, std values: 4.91976802006845, min values: 7.9574e-07, max values: 40.236, median values: 0.20675, and quantile values: 0.25 0.068441\n0.50 0.206750\n0.75 0.849210\nName: 9186, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3195433177685534, std values: 4.72891468203081, min values: 1.8472e-06, max values: 39.561, median values: 0.18339, and quantile values: 0.25 0.058564\n0.50 0.183390\n0.75 0.742000\nName: 9187, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6126228365006288, std values: 4.923996982978977, min values: 7.235e-07, max values: 38.884, median values: 0.21294, and quantile values: 0.25 0.056992\n0.50 0.212940\n0.75 1.004510\nName: 9188, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5371165792074655, std values: 4.970789893557318, min values: 2.4187e-08, max values: 41.353, median values: 0.23225, and quantile values: 0.25 0.056131\n0.50 0.232250\n0.75 0.901340\nName: 9189, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.694179723379874, std values: 5.132196853645651, min values: 1.6564e-06, max values: 41.031, median values: 0.2672, and quantile values: 0.25 0.078518\n0.50 0.267200\n0.75 1.185500\nName: 9190, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4194728547779873, std values: 4.921770428131603, min values: 6.0963e-06, max values: 41.408, median values: 0.2194, and quantile values: 0.25 0.067751\n0.50 0.219400\n0.75 0.758135\nName: 9191, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5101573578998113, std values: 5.191378619250825, min values: 1.514e-07, max values: 46.25, median values: 0.23415, and quantile values: 0.25 0.053108\n0.50 0.234150\n0.75 0.882530\nName: 9192, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4883450641228115, std values: 4.832079489473975, min values: 2.7367e-08, max values: 39.455, median values: 0.20262, and quantile values: 0.25 0.053941\n0.50 0.202620\n0.75 0.883350\nName: 9193, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.374919636508805, std values: 4.78587510068229, min values: 1.007e-06, max values: 38.743, median values: 0.1655, and quantile values: 0.25 0.043175\n0.50 0.165500\n0.75 0.842160\nName: 9194, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6113779123044025, std values: 5.141134824630604, min values: 2.0194e-06, max values: 41.886, median values: 0.26192, and quantile values: 0.25 0.073628\n0.50 0.261920\n0.75 1.011535\nName: 9195, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.657285615508176, std values: 5.406353911483737, min values: 6.76e-07, max values: 47.737, median values: 0.2189, and quantile values: 0.25 0.061677\n0.50 0.218900\n0.75 1.076850\nName: 9196, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.415948576514214, std values: 4.838142694464219, min values: 2.8346e-07, max values: 39.964, median values: 0.2301, and quantile values: 0.25 0.062315\n0.50 0.230100\n0.75 0.812045\nName: 9197, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5805604591012579, std values: 5.214660699627954, min values: 7.291e-07, max values: 45.137, median values: 0.26598, and quantile values: 0.25 0.076018\n0.50 0.265980\n0.75 0.924085\nName: 9198, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.384799076928302, std values: 4.866909840266106, min values: 2.1643e-06, max values: 39.026, median values: 0.22777, and quantile values: 0.25 0.065900\n0.50 0.227770\n0.75 0.824945\nName: 9199, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3974680265570754, std values: 5.006283642663418, min values: 7.3815e-08, max values: 43.502, median values: 0.17386, and quantile values: 0.25 0.047622\n0.50 0.173860\n0.75 0.743215\nName: 9200, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5723752133509432, std values: 5.064860292388876, min values: 2.5874e-06, max values: 41.466, median values: 0.27475, and quantile values: 0.25 0.071161\n0.50 0.274750\n0.75 1.019450\nName: 9201, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3734201386700629, std values: 4.909400740238826, min values: 6.7354e-07, max values: 40.502, median values: 0.19661, and quantile values: 0.25 0.051703\n0.50 0.196610\n0.75 0.699700\nName: 9202, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4456449641310691, std values: 4.950167974456629, min values: 8.4984e-07, max values: 41.673, median values: 0.1743, and quantile values: 0.25 0.047906\n0.50 0.174300\n0.75 0.788765\nName: 9203, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3485288262245283, std values: 4.7868550401447, min values: 8.34e-07, max values: 38.395, median values: 0.18769, and quantile values: 0.25 0.056107\n0.50 0.187690\n0.75 0.765445\nName: 9204, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5900898254779874, std values: 4.828287467256427, min values: 1.6167e-06, max values: 38.966, median values: 0.28254, and quantile values: 0.25 0.072286\n0.50 0.282540\n0.75 1.105550\nName: 9205, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4227302270729563, std values: 4.778624366421192, min values: 1.0352e-06, max values: 37.902, median values: 0.19565, and quantile values: 0.25 0.06417\n0.50 0.19565\n0.75 0.81763\nName: 9206, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3550190062967296, std values: 4.694608540735225, min values: 4.6628e-07, max values: 37.412, median values: 0.19759, and quantile values: 0.25 0.061150\n0.50 0.197590\n0.75 0.791395\nName: 9207, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2852188586188678, std values: 4.8100061140640875, min values: 4.26e-07, max values: 40.108, median values: 0.17059, and quantile values: 0.25 0.048623\n0.50 0.170590\n0.75 0.706115\nName: 9208, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7005365054647799, std values: 5.298606406756569, min values: 5.1055e-06, max values: 42.597, median values: 0.27533, and quantile values: 0.25 0.078276\n0.50 0.275330\n0.75 1.050370\nName: 9209, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7066357433226416, std values: 5.223211377396966, min values: 3.1109e-06, max values: 42.638, median values: 0.29699, and quantile values: 0.25 0.079695\n0.50 0.296990\n0.75 1.209250\nName: 9210, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6001359871861636, std values: 4.938002650579798, min values: 2.0513e-06, max values: 39.043, median values: 0.2585, and quantile values: 0.25 0.069596\n0.50 0.258500\n0.75 1.004825\nName: 9211, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5893663781710694, std values: 5.15098338819891, min values: 2.6959e-06, max values: 41.807, median values: 0.27608, and quantile values: 0.25 0.074162\n0.50 0.276080\n0.75 0.930685\nName: 9212, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3612440671440251, std values: 5.0319298092500215, min values: 2.6994e-06, max values: 40.945, median values: 0.19098, and quantile values: 0.25 0.057295\n0.50 0.190980\n0.75 0.646285\nName: 9213, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7198784007345913, std values: 5.062245262100921, min values: 1.929e-06, max values: 40.21, median values: 0.28198, and quantile values: 0.25 0.085352\n0.50 0.281980\n0.75 1.119750\nName: 9214, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3531085540021384, std values: 4.736562069355878, min values: 9.7344e-07, max values: 38.552, median values: 0.19243, and quantile values: 0.25 0.057334\n0.50 0.192430\n0.75 0.785980\nName: 9215, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4414402544779874, std values: 4.81257848586091, min values: 3.1994e-06, max values: 39.516, median values: 0.22403, and quantile values: 0.25 0.063517\n0.50 0.224030\n0.75 0.865770\nName: 9216, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3100894037471698, std values: 4.75923766243404, min values: 1.7587e-06, max values: 38.897, median values: 0.19509, and quantile values: 0.25 0.063402\n0.50 0.195090\n0.75 0.747340\nName: 9217, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4317770719120757, std values: 4.793623486077849, min values: 4.4322e-07, max values: 38.405, median values: 0.20917, and quantile values: 0.25 0.057121\n0.50 0.209170\n0.75 0.844170\nName: 9218, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4403529433257862, std values: 5.070396500333461, min values: 1.1113e-06, max values: 42.841, median values: 0.20214, and quantile values: 0.25 0.059250\n0.50 0.202140\n0.75 0.830735\nName: 9219, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5639974486037735, std values: 4.908980904468485, min values: 0.0, max values: 38.999, median values: 0.25214, and quantile values: 0.25 0.065057\n0.50 0.252140\n0.75 1.045970\nName: 9220, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3776155616799999, std values: 4.562730222588864, min values: 5.8682e-07, max values: 37.546, median values: 0.17904, and quantile values: 0.25 0.052035\n0.50 0.179040\n0.75 0.823565\nName: 9221, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5763430873427673, std values: 5.064315641234944, min values: 4.8129e-06, max values: 41.031, median values: 0.26578, and quantile values: 0.25 0.071616\n0.50 0.265780\n0.75 0.906730\nName: 9222, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6480472957534593, std values: 4.922555917099817, min values: 1.4641e-06, max values: 38.616, median values: 0.27181, and quantile values: 0.25 0.075317\n0.50 0.271810\n0.75 1.183900\nName: 9223, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5292119251704404, std values: 5.0337630691076996, min values: 1.0782e-06, max values: 41.404, median values: 0.24782, and quantile values: 0.25 0.075603\n0.50 0.247820\n0.75 0.917295\nName: 9224, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.467263763850503, std values: 4.974295102815787, min values: 1.1743e-07, max values: 41.671, median values: 0.20133, and quantile values: 0.25 0.055241\n0.50 0.201330\n0.75 0.829580\nName: 9225, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5306152958786163, std values: 5.082977015413061, min values: 3.4284e-06, max values: 40.591, median values: 0.25877, and quantile values: 0.25 0.064553\n0.50 0.258770\n0.75 0.876675\nName: 9226, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5025755632446542, std values: 4.795619502519382, min values: 2.7491e-06, max values: 39.331, median values: 0.23997, and quantile values: 0.25 0.070624\n0.50 0.239970\n0.75 0.992125\nName: 9227, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.545287323563522, std values: 5.111194499753663, min values: 1.3762e-06, max values: 43.207, median values: 0.23774, and quantile values: 0.25 0.064532\n0.50 0.237740\n0.75 0.905590\nName: 9228, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.500123399129497, std values: 4.883351813051373, min values: 2.5529e-07, max values: 38.998, median values: 0.23266, and quantile values: 0.25 0.056622\n0.50 0.232660\n0.75 0.968465\nName: 9229, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5750322089398365, std values: 5.247231659371673, min values: 1.9034e-08, max values: 45.793, median values: 0.22878, and quantile values: 0.25 0.053912\n0.50 0.228780\n0.75 0.945185\nName: 9230, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3594006699037422, std values: 4.611378539064509, min values: 3.2125e-08, max values: 36.481, median values: 0.18086, and quantile values: 0.25 0.044279\n0.50 0.180860\n0.75 0.786625\nName: 9231, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3465764166125784, std values: 4.896995161096309, min values: 1.6053e-06, max values: 39.991, median values: 0.19842, and quantile values: 0.25 0.062656\n0.50 0.198420\n0.75 0.730085\nName: 9232, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.581669403045283, std values: 5.154063861501303, min values: 2.13e-06, max values: 43.022, median values: 0.24073, and quantile values: 0.25 0.071252\n0.50 0.240730\n0.75 1.021520\nName: 9233, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4396782688006289, std values: 5.016885399207717, min values: 1.5439e-06, max values: 41.057, median values: 0.20853, and quantile values: 0.25 0.060977\n0.50 0.208530\n0.75 0.807945\nName: 9234, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4360667787874215, std values: 4.924912413487076, min values: 3.389e-06, max values: 39.913, median values: 0.20755, and quantile values: 0.25 0.060927\n0.50 0.207550\n0.75 0.796635\nName: 9235, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.461631780985912, std values: 5.049687644654147, min values: 7.3866e-07, max values: 42.963, median values: 0.2443, and quantile values: 0.25 0.064996\n0.50 0.244300\n0.75 0.877385\nName: 9236, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4460914284819497, std values: 4.95317592156375, min values: 7.3283e-07, max values: 41.253, median values: 0.1912, and quantile values: 0.25 0.054610\n0.50 0.191200\n0.75 0.818435\nName: 9237, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2875132676234278, std values: 4.384228207113275, min values: 7.4845e-08, max values: 36.558, median values: 0.17806, and quantile values: 0.25 0.049520\n0.50 0.178060\n0.75 0.721335\nName: 9238, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.552825868572956, std values: 5.170149836148087, min values: 1.4035e-06, max values: 43.786, median values: 0.22896, and quantile values: 0.25 0.062794\n0.50 0.228960\n0.75 0.954910\nName: 9239, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5162909708415095, std values: 4.852758297397934, min values: 1.2884e-06, max values: 38.672, median values: 0.26963, and quantile values: 0.25 0.071026\n0.50 0.269630\n0.75 0.958795\nName: 9240, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.727997121500629, std values: 5.224226855132724, min values: 5.7159e-06, max values: 41.428, median values: 0.28833, and quantile values: 0.25 0.085719\n0.50 0.288330\n0.75 1.056260\nName: 9241, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4787531461163523, std values: 4.9030256486204715, min values: 2.8473e-06, max values: 39.434, median values: 0.24108, and quantile values: 0.25 0.067243\n0.50 0.241080\n0.75 0.907755\nName: 9242, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.500303185983019, std values: 4.6881811219463705, min values: 1.1776e-06, max values: 38.381, median values: 0.22702, and quantile values: 0.25 0.065544\n0.50 0.227020\n0.75 1.023540\nName: 9243, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.148496418756063, std values: 4.622959489621073, min values: 1.7604e-08, max values: 37.159, median values: 0.11026, and quantile values: 0.25 0.029278\n0.50 0.110260\n0.75 0.554220\nName: 9244, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6101359859113207, std values: 5.029404873744592, min values: 1.0938e-06, max values: 40.767, median values: 0.29783, and quantile values: 0.25 0.067037\n0.50 0.297830\n0.75 1.067850\nName: 9245, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7270190249402517, std values: 5.286433968451117, min values: 4.9185e-06, max values: 42.144, median values: 0.28135, and quantile values: 0.25 0.082386\n0.50 0.281350\n0.75 1.084350\nName: 9246, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4833091367533144, std values: 4.982494618674387, min values: 2.7647e-08, max values: 42.218, median values: 0.2016, and quantile values: 0.25 0.04926\n0.50 0.20160\n0.75 0.85101\nName: 9247, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4547944167578617, std values: 4.912861445473353, min values: 2.3732e-06, max values: 39.497, median values: 0.20641, and quantile values: 0.25 0.068848\n0.50 0.206410\n0.75 0.878385\nName: 9248, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6182052376327047, std values: 5.189505476198201, min values: 1.0608e-06, max values: 43.844, median values: 0.23105, and quantile values: 0.25 0.066436\n0.50 0.231050\n0.75 1.010500\nName: 9249, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8835033808654087, std values: 5.367652998932314, min values: 3.6876e-06, max values: 42.63, median values: 0.31991, and quantile values: 0.25 0.086069\n0.50 0.319910\n0.75 1.339950\nName: 9250, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5579192818805032, std values: 5.086736693670711, min values: 3.0755e-06, max values: 40.869, median values: 0.24517, and quantile values: 0.25 0.070051\n0.50 0.245170\n0.75 0.908560\nName: 9251, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4312121117050316, std values: 4.943504527204648, min values: 1.0735e-06, max values: 40.724, median values: 0.21759, and quantile values: 0.25 0.057868\n0.50 0.217590\n0.75 0.765205\nName: 9252, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.485587750612516, std values: 4.820093639173987, min values: 1.4389e-07, max values: 37.971, median values: 0.20135, and quantile values: 0.25 0.047847\n0.50 0.201350\n0.75 0.856625\nName: 9253, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9744440976213835, std values: 5.4659518728731555, min values: 5.6982e-06, max values: 43.229, median values: 0.37038, and quantile values: 0.25 0.097361\n0.50 0.370380\n0.75 1.353850\nName: 9254, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.402865947715723, std values: 4.758983243827597, min values: 1.7669e-06, max values: 38.76, median values: 0.21466, and quantile values: 0.25 0.065617\n0.50 0.214660\n0.75 0.854065\nName: 9255, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2174349792926416, std values: 4.87120191855385, min values: 3.7377e-07, max values: 41.243, median values: 0.11653, and quantile values: 0.25 0.035044\n0.50 0.116530\n0.75 0.546825\nName: 9256, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.462542080483648, std values: 4.9353092507830585, min values: 1.1979e-06, max values: 39.447, median values: 0.21217, and quantile values: 0.25 0.063121\n0.50 0.212170\n0.75 0.836015\nName: 9257, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4459443002930819, std values: 5.013162366464839, min values: 2.4053e-06, max values: 40.786, median values: 0.21036, and quantile values: 0.25 0.064922\n0.50 0.210360\n0.75 0.815735\nName: 9258, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4619892275204405, std values: 4.670616366042801, min values: 8.6875e-07, max values: 38.28, median values: 0.23961, and quantile values: 0.25 0.063106\n0.50 0.239610\n0.75 0.940240\nName: 9259, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6248992848562265, std values: 5.237521942984557, min values: 1.5524e-07, max values: 46.121, median values: 0.26028, and quantile values: 0.25 0.064393\n0.50 0.260280\n0.75 1.069650\nName: 9260, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.386206785811132, std values: 4.847032453249277, min values: 4.7207e-07, max values: 39.818, median values: 0.18754, and quantile values: 0.25 0.055249\n0.50 0.187540\n0.75 0.830230\nName: 9261, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6674007071999999, std values: 5.208789740648934, min values: 1.7904e-06, max values: 43.665, median values: 0.24555, and quantile values: 0.25 0.068266\n0.50 0.245550\n0.75 1.098745\nName: 9262, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4966514541314464, std values: 5.224687015613276, min values: 1.0113e-06, max values: 45.151, median values: 0.19723, and quantile values: 0.25 0.055216\n0.50 0.197230\n0.75 0.825570\nName: 9263, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4807790574322641, std values: 4.9017626648162205, min values: 7.4723e-07, max values: 40.102, median values: 0.19608, and quantile values: 0.25 0.056733\n0.50 0.196080\n0.75 0.939875\nName: 9264, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4330622951201257, std values: 5.067792578400973, min values: 2.7675e-06, max values: 41.103, median values: 0.19783, and quantile values: 0.25 0.063583\n0.50 0.197830\n0.75 0.806635\nName: 9265, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3392070460238366, std values: 4.977755083556871, min values: 1.5179e-07, max values: 43.132, median values: 0.1705, and quantile values: 0.25 0.046867\n0.50 0.170500\n0.75 0.665680\nName: 9266, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2255915592307547, std values: 4.63792811814449, min values: 5.4309e-07, max values: 38.064, median values: 0.16436, and quantile values: 0.25 0.049126\n0.50 0.164360\n0.75 0.670855\nName: 9267, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2054394098572325, std values: 4.687388325829619, min values: 1.3715e-06, max values: 38.769, median values: 0.1484, and quantile values: 0.25 0.047202\n0.50 0.148400\n0.75 0.603800\nName: 9268, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4463778344960376, std values: 4.708251884906165, min values: 3.6567e-07, max values: 37.461, median values: 0.22188, and quantile values: 0.25 0.059975\n0.50 0.221880\n0.75 0.836020\nName: 9269, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4692963845037736, std values: 5.059036394430998, min values: 3.0235e-06, max values: 40.797, median values: 0.21695, and quantile values: 0.25 0.062379\n0.50 0.216950\n0.75 0.819450\nName: 9270, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3954536301842138, std values: 4.883543233811693, min values: 6.4399e-07, max values: 40.125, median values: 0.17569, and quantile values: 0.25 0.05825\n0.50 0.17569\n0.75 0.86175\nName: 9271, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.485494881964151, std values: 4.943646222142485, min values: 1.5022e-06, max values: 39.954, median values: 0.22663, and quantile values: 0.25 0.070302\n0.50 0.226630\n0.75 0.921340\nName: 9272, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3466490964314464, std values: 4.808442575112644, min values: 1.2444e-06, max values: 39.137, median values: 0.16987, and quantile values: 0.25 0.050766\n0.50 0.169870\n0.75 0.766310\nName: 9273, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6320830255075471, std values: 4.905083134846257, min values: 1.512e-06, max values: 38.857, median values: 0.2431, and quantile values: 0.25 0.073870\n0.50 0.243100\n0.75 1.016935\nName: 9274, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4510504586710693, std values: 5.057324566235818, min values: 2.13e-06, max values: 40.901, median values: 0.20944, and quantile values: 0.25 0.057143\n0.50 0.209440\n0.75 0.793715\nName: 9275, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3382406830503144, std values: 4.745852642026863, min values: 1.8944e-06, max values: 38.87, median values: 0.19055, and quantile values: 0.25 0.065909\n0.50 0.190550\n0.75 0.731025\nName: 9276, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5146113566138366, std values: 4.9098053689487156, min values: 1.0981e-06, max values: 39.339, median values: 0.25695, and quantile values: 0.25 0.069230\n0.50 0.256950\n0.75 0.945605\nName: 9277, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4600698106715095, std values: 4.669638889152019, min values: 5.5307e-07, max values: 38.018, median values: 0.22411, and quantile values: 0.25 0.060544\n0.50 0.224110\n0.75 0.991170\nName: 9278, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.550617217255975, std values: 4.927857857401371, min values: 1.8901e-06, max values: 39.427, median values: 0.26418, and quantile values: 0.25 0.070571\n0.50 0.264180\n0.75 1.046505\nName: 9279, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4223420921415093, std values: 5.1423524646452154, min values: 4.637e-06, max values: 41.998, median values: 0.18869, and quantile values: 0.25 0.055780\n0.50 0.188690\n0.75 0.632745\nName: 9280, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7886212127320502, std values: 5.5897778753168215, min values: 2.5696e-08, max values: 51.445, median values: 0.24073, and quantile values: 0.25 0.056873\n0.50 0.240730\n0.75 1.152200\nName: 9281, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5475972225842767, std values: 5.071226810901765, min values: 3.2515e-06, max values: 40.319, median values: 0.22418, and quantile values: 0.25 0.067111\n0.50 0.224180\n0.75 0.948335\nName: 9282, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6599079541233333, std values: 5.068131246671892, min values: 7.3671e-07, max values: 41.972, median values: 0.24682, and quantile values: 0.25 0.076771\n0.50 0.246820\n0.75 1.133200\nName: 9283, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.687109506964151, std values: 5.144532989748286, min values: 5.4329e-06, max values: 40.624, median values: 0.28757, and quantile values: 0.25 0.08476\n0.50 0.28757\n0.75 1.04560\nName: 9284, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4838813372613837, std values: 4.816959391521078, min values: 2.4006e-07, max values: 38.09, median values: 0.19743, and quantile values: 0.25 0.053764\n0.50 0.197430\n0.75 0.896125\nName: 9285, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.46454418294717, std values: 4.895371354781664, min values: 5.5293e-06, max values: 41.512, median values: 0.20616, and quantile values: 0.25 0.056897\n0.50 0.206160\n0.75 0.795235\nName: 9286, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4051290800522012, std values: 4.85003127402535, min values: 2.3997e-06, max values: 40.289, median values: 0.20404, and quantile values: 0.25 0.057603\n0.50 0.204040\n0.75 0.820515\nName: 9287, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8315924815295597, std values: 5.001933313033419, min values: 2.1185e-06, max values: 38.469, median values: 0.31468, and quantile values: 0.25 0.092059\n0.50 0.314680\n0.75 1.352750\nName: 9288, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4657406948013838, std values: 4.705086876794964, min values: 5.0652e-07, max values: 37.067, median values: 0.2473, and quantile values: 0.25 0.063549\n0.50 0.247300\n0.75 0.904280\nName: 9289, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7236528198427672, std values: 5.248448486845466, min values: 1.0122e-05, max values: 42.727, median values: 0.25798, and quantile values: 0.25 0.081206\n0.50 0.257980\n0.75 1.105700\nName: 9290, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4187311062644654, std values: 4.810076469712632, min values: 6.8845e-07, max values: 38.542, median values: 0.20076, and quantile values: 0.25 0.057536\n0.50 0.200760\n0.75 0.799945\nName: 9291, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3909083121490566, std values: 4.878421633583153, min values: 1.6353e-06, max values: 39.025, median values: 0.20938, and quantile values: 0.25 0.05728\n0.50 0.20938\n0.75 0.83468\nName: 9292, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3866667351805029, std values: 4.743636707480921, min values: 1.4802e-06, max values: 39.303, median values: 0.19942, and quantile values: 0.25 0.061874\n0.50 0.199420\n0.75 0.819770\nName: 9293, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5831281343567296, std values: 4.9427908347682825, min values: 3.1202e-07, max values: 39.951, median values: 0.25173, and quantile values: 0.25 0.070863\n0.50 0.251730\n0.75 1.064900\nName: 9294, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4451106854622642, std values: 4.910562472995385, min values: 1.3348e-06, max values: 39.718, median values: 0.22505, and quantile values: 0.25 0.059441\n0.50 0.225050\n0.75 0.886005\nName: 9295, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6554400226540882, std values: 5.134432363315953, min values: 2.0485e-06, max values: 42.329, median values: 0.27661, and quantile values: 0.25 0.077683\n0.50 0.276610\n0.75 1.120800\nName: 9296, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4169951521015725, std values: 4.708897228564955, min values: 9.0515e-07, max values: 38.074, median values: 0.22225, and quantile values: 0.25 0.063913\n0.50 0.222250\n0.75 0.818460\nName: 9297, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5023884282100628, std values: 5.002579705941711, min values: 2.0455e-06, max values: 40.401, median values: 0.21665, and quantile values: 0.25 0.068842\n0.50 0.216650\n0.75 0.895035\nName: 9298, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3772779227704401, std values: 4.923712276810675, min values: 1.4287e-06, max values: 39.785, median values: 0.18289, and quantile values: 0.25 0.05206\n0.50 0.18289\n0.75 0.85759\nName: 9299, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3298221990830819, std values: 4.6990061656276785, min values: 1.4181e-07, max values: 37.388, median values: 0.15991, and quantile values: 0.25 0.052284\n0.50 0.159910\n0.75 0.731045\nName: 9300, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3673476596561005, std values: 4.803582540184013, min values: 1.7948e-07, max values: 39.251, median values: 0.17235, and quantile values: 0.25 0.040730\n0.50 0.172350\n0.75 0.738975\nName: 9301, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5876011256654088, std values: 5.003740524440783, min values: 1.6899e-06, max values: 40.016, median values: 0.26022, and quantile values: 0.25 0.078408\n0.50 0.260220\n0.75 1.124800\nName: 9302, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4817243366232704, std values: 4.816233669600841, min values: 1.0886e-06, max values: 38.434, median values: 0.20908, and quantile values: 0.25 0.057207\n0.50 0.209080\n0.75 0.908475\nName: 9303, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3691476899270438, std values: 5.058810294376783, min values: 1.262e-06, max values: 42.7, median values: 0.17274, and quantile values: 0.25 0.056631\n0.50 0.172740\n0.75 0.784285\nName: 9304, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.318154147928176, std values: 4.508143614143707, min values: 2.735e-08, max values: 36.333, median values: 0.15524, and quantile values: 0.25 0.043345\n0.50 0.155240\n0.75 0.780515\nName: 9305, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.446131188398742, std values: 5.037152107892162, min values: 2.3886e-06, max values: 40.681, median values: 0.20048, and quantile values: 0.25 0.064528\n0.50 0.200480\n0.75 0.817890\nName: 9306, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3206800777044025, std values: 4.588122810668745, min values: 1.4065e-06, max values: 38.209, median values: 0.20895, and quantile values: 0.25 0.057716\n0.50 0.208950\n0.75 0.705705\nName: 9307, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.281986447609434, std values: 4.69288564559963, min values: 1.0319e-06, max values: 38.655, median values: 0.15257, and quantile values: 0.25 0.048827\n0.50 0.152570\n0.75 0.696100\nName: 9308, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3206115531796856, std values: 4.603171996664659, min values: 6.2497e-07, max values: 37.681, median values: 0.18054, and quantile values: 0.25 0.054369\n0.50 0.180540\n0.75 0.803805\nName: 9309, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4462170016446478, std values: 4.919701191445679, min values: 3.0269e-08, max values: 41.73, median values: 0.23052, and quantile values: 0.25 0.045663\n0.50 0.230520\n0.75 0.862920\nName: 9310, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7275310715635221, std values: 5.184019495958922, min values: 2.6334e-06, max values: 41.323, median values: 0.28331, and quantile values: 0.25 0.080498\n0.50 0.283310\n0.75 1.191200\nName: 9311, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7306421459515724, std values: 5.170797502511853, min values: 3.0508e-06, max values: 41.748, median values: 0.29412, and quantile values: 0.25 0.084316\n0.50 0.294120\n0.75 1.148750\nName: 9312, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3229928958598742, std values: 4.681098118467745, min values: 8.2272e-07, max values: 37.322, median values: 0.18934, and quantile values: 0.25 0.046469\n0.50 0.189340\n0.75 0.764105\nName: 9313, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6185062978383646, std values: 4.897290620516178, min values: 3.3037e-06, max values: 39.679, median values: 0.27068, and quantile values: 0.25 0.088435\n0.50 0.270680\n0.75 1.055950\nName: 9314, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3572143337055977, std values: 4.900661633585649, min values: 1.3659e-07, max values: 41.39, median values: 0.18633, and quantile values: 0.25 0.048267\n0.50 0.186330\n0.75 0.724495\nName: 9315, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3446693237081762, std values: 4.628920815302571, min values: 1.0062e-06, max values: 37.39, median values: 0.19247, and quantile values: 0.25 0.057961\n0.50 0.192470\n0.75 0.778540\nName: 9316, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5443263420943396, std values: 4.998903067447429, min values: 1.7981e-06, max values: 40.442, median values: 0.2389, and quantile values: 0.25 0.070001\n0.50 0.238900\n0.75 0.951610\nName: 9317, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6202467235415094, std values: 4.7645519050511895, min values: 1.3733e-06, max values: 38.41, median values: 0.27084, and quantile values: 0.25 0.079433\n0.50 0.270840\n0.75 1.134800\nName: 9318, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3744626836559748, std values: 4.734234562511542, min values: 6.213e-07, max values: 37.666, median values: 0.20109, and quantile values: 0.25 0.055077\n0.50 0.201090\n0.75 0.834030\nName: 9319, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2934414390645734, std values: 4.716445908656306, min values: 9.2772e-09, max values: 38.421, median values: 0.15005, and quantile values: 0.25 0.035199\n0.50 0.150050\n0.75 0.713225\nName: 9320, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3265785956378615, std values: 4.562911905344889, min values: 9.3352e-07, max values: 37.537, median values: 0.18799, and quantile values: 0.25 0.061051\n0.50 0.187990\n0.75 0.743860\nName: 9321, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.426552403334591, std values: 4.770112485352196, min values: 1.0671e-06, max values: 37.724, median values: 0.20337, and quantile values: 0.25 0.068087\n0.50 0.203370\n0.75 0.789210\nName: 9322, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4918668292767294, std values: 4.966658939445424, min values: 1.8755e-06, max values: 39.951, median values: 0.23393, and quantile values: 0.25 0.064644\n0.50 0.233930\n0.75 0.961020\nName: 9323, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4969818277988427, std values: 4.949149504747506, min values: 2.8816e-08, max values: 41.268, median values: 0.18514, and quantile values: 0.25 0.059593\n0.50 0.185140\n0.75 0.845020\nName: 9324, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4738534291672514, std values: 4.966643219404806, min values: 2.4813e-08, max values: 42.601, median values: 0.18519, and quantile values: 0.25 0.045902\n0.50 0.185190\n0.75 0.848540\nName: 9325, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5665947528811321, std values: 4.952610620538315, min values: 1.3085e-06, max values: 39.358, median values: 0.23311, and quantile values: 0.25 0.070618\n0.50 0.233110\n0.75 1.008700\nName: 9326, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4712399715979874, std values: 4.8180867351251075, min values: 5.5548e-07, max values: 38.045, median values: 0.20857, and quantile values: 0.25 0.055007\n0.50 0.208570\n0.75 0.937035\nName: 9327, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4893282601786164, std values: 5.108502827061793, min values: 6.3513e-06, max values: 41.436, median values: 0.20619, and quantile values: 0.25 0.059289\n0.50 0.206190\n0.75 0.835875\nName: 9328, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4625919989660379, std values: 4.898652009754307, min values: 1.3371e-06, max values: 39.049, median values: 0.22715, and quantile values: 0.25 0.058283\n0.50 0.227150\n0.75 0.855765\nName: 9329, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6129266740113206, std values: 4.899570997540555, min values: 1.1639e-06, max values: 38.612, median values: 0.25756, and quantile values: 0.25 0.079035\n0.50 0.257560\n0.75 1.077100\nName: 9330, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3601399715902516, std values: 4.558448127552785, min values: 6.2195e-07, max values: 37.648, median values: 0.22981, and quantile values: 0.25 0.05539\n0.50 0.22981\n0.75 0.81527\nName: 9331, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5035850814871696, std values: 4.815842099013584, min values: 2.0476e-07, max values: 38.18, median values: 0.23629, and quantile values: 0.25 0.059932\n0.50 0.236290\n0.75 0.974230\nName: 9332, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4347898944585535, std values: 5.001510172391387, min values: 6.2311e-07, max values: 41.404, median values: 0.18326, and quantile values: 0.25 0.059670\n0.50 0.183260\n0.75 0.840615\nName: 9333, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3586944731427675, std values: 4.563619955469487, min values: 2.0131e-06, max values: 39.327, median values: 0.20355, and quantile values: 0.25 0.062850\n0.50 0.203550\n0.75 0.820335\nName: 9334, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4970224334312578, std values: 4.65277807204818, min values: 7.6167e-07, max values: 37.427, median values: 0.25763, and quantile values: 0.25 0.071490\n0.50 0.257630\n0.75 0.971095\nName: 9335, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3748774782857862, std values: 4.690778332758956, min values: 3.4404e-07, max values: 37.679, median values: 0.19176, and quantile values: 0.25 0.04866\n0.50 0.19176\n0.75 0.78751\nName: 9336, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.593587448835849, std values: 4.827599729936321, min values: 1.2676e-06, max values: 38.63, median values: 0.27604, and quantile values: 0.25 0.078758\n0.50 0.276040\n0.75 1.073550\nName: 9337, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5512381966689812, std values: 4.903626306964107, min values: 2.9848e-08, max values: 39.847, median values: 0.25059, and quantile values: 0.25 0.052646\n0.50 0.250590\n0.75 1.102850\nName: 9338, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5745907342704404, std values: 5.003403822885883, min values: 1.2534e-06, max values: 40.72, median values: 0.22985, and quantile values: 0.25 0.065542\n0.50 0.229850\n0.75 1.011410\nName: 9339, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4266084057575472, std values: 4.889717302107241, min values: 8.1005e-07, max values: 39.894, median values: 0.19869, and quantile values: 0.25 0.061784\n0.50 0.198690\n0.75 0.818285\nName: 9340, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4557107646201257, std values: 4.779427074996849, min values: 1.8215e-06, max values: 39.185, median values: 0.23826, and quantile values: 0.25 0.067531\n0.50 0.238260\n0.75 0.865645\nName: 9341, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.893760097081069, std values: 5.821964744145819, min values: 7.9639e-07, max values: 54.243, median values: 0.25349, and quantile values: 0.25 0.064352\n0.50 0.253490\n0.75 1.196250\nName: 9342, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3500843668874214, std values: 4.641603857005216, min values: 2.562e-06, max values: 39.003, median values: 0.20081, and quantile values: 0.25 0.058558\n0.50 0.200810\n0.75 0.803520\nName: 9343, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3175058226460377, std values: 4.511366901212895, min values: 9.2752e-07, max values: 38.875, median values: 0.18217, and quantile values: 0.25 0.055728\n0.50 0.182170\n0.75 0.806665\nName: 9344, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6508550020396857, std values: 4.837287551568435, min values: 6.1201e-07, max values: 37.676, median values: 0.2357, and quantile values: 0.25 0.0674\n0.50 0.2357\n0.75 1.0671\nName: 9345, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5823042886679246, std values: 5.22345556783063, min values: 5.9429e-06, max values: 41.515, median values: 0.21001, and quantile values: 0.25 0.068171\n0.50 0.210010\n0.75 0.904040\nName: 9346, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6792451463572327, std values: 5.1381176941556355, min values: 2.5825e-06, max values: 40.903, median values: 0.31314, and quantile values: 0.25 0.084025\n0.50 0.313140\n0.75 1.090350\nName: 9347, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4016295974021384, std values: 4.840071363304516, min values: 1.5425e-07, max values: 39.424, median values: 0.15208, and quantile values: 0.25 0.04044\n0.50 0.15208\n0.75 0.80268\nName: 9348, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.714464540874214, std values: 5.357077328659751, min values: 3.8303e-06, max values: 44.437, median values: 0.27046, and quantile values: 0.25 0.078954\n0.50 0.270460\n0.75 1.045350\nName: 9349, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5636480587119495, std values: 5.047148435090249, min values: 4.6194e-06, max values: 40.776, median values: 0.2615, and quantile values: 0.25 0.071459\n0.50 0.261500\n0.75 0.967840\nName: 9350, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.29231233570761, std values: 4.573060196768774, min values: 4.2191e-07, max values: 36.523, median values: 0.1735, and quantile values: 0.25 0.050599\n0.50 0.173500\n0.75 0.747230\nName: 9351, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3287426058432075, std values: 4.56828809490594, min values: 3.7377e-07, max values: 36.486, median values: 0.1918, and quantile values: 0.25 0.050599\n0.50 0.191800\n0.75 0.766715\nName: 9352, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6792685107496854, std values: 5.292662989319614, min values: 4.1784e-06, max values: 42.647, median values: 0.25681, and quantile values: 0.25 0.07732\n0.50 0.25681\n0.75 1.04450\nName: 9353, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3590086100623269, std values: 4.713962786402165, min values: 2.1671e-07, max values: 37.867, median values: 0.20114, and quantile values: 0.25 0.055202\n0.50 0.201140\n0.75 0.800535\nName: 9354, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5824154512365407, std values: 4.9670500266634265, min values: 7.7651e-07, max values: 39.995, median values: 0.2286, and quantile values: 0.25 0.063798\n0.50 0.228600\n0.75 0.973255\nName: 9355, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6439159612747798, std values: 5.042583329564743, min values: 8.4859e-07, max values: 41.143, median values: 0.29614, and quantile values: 0.25 0.075963\n0.50 0.296140\n0.75 1.117150\nName: 9356, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5762912881433961, std values: 5.146460735590958, min values: 3.3021e-06, max values: 41.833, median values: 0.23999, and quantile values: 0.25 0.069059\n0.50 0.239990\n0.75 0.955350\nName: 9357, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4306668148920125, std values: 4.774546530904777, min values: 9.2713e-07, max values: 38.209, median values: 0.21304, and quantile values: 0.25 0.063294\n0.50 0.213040\n0.75 0.876930\nName: 9358, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.466436487864151, std values: 4.781853104706562, min values: 1.2573e-06, max values: 37.746, median values: 0.22833, and quantile values: 0.25 0.062199\n0.50 0.228330\n0.75 0.918440\nName: 9359, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3269348541327046, std values: 4.729473583374088, min values: 1.7325e-06, max values: 39.42, median values: 0.19547, and quantile values: 0.25 0.057638\n0.50 0.195470\n0.75 0.801020\nName: 9360, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4404433224308177, std values: 5.098276913424786, min values: 3.345e-06, max values: 41.311, median values: 0.19611, and quantile values: 0.25 0.060134\n0.50 0.196110\n0.75 0.806905\nName: 9361, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5015568045295598, std values: 4.8089349789938876, min values: 2.2359e-06, max values: 39.646, median values: 0.26246, and quantile values: 0.25 0.067632\n0.50 0.262460\n0.75 0.933900\nName: 9362, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5150324699878615, std values: 5.045105586306008, min values: 7.1467e-07, max values: 41.538, median values: 0.2374, and quantile values: 0.25 0.066801\n0.50 0.237400\n0.75 0.905990\nName: 9363, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6544122757698112, std values: 5.037303462728536, min values: 4.2242e-06, max values: 39.537, median values: 0.28497, and quantile values: 0.25 0.086823\n0.50 0.284970\n0.75 1.038735\nName: 9364, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.390429200990063, std values: 4.730516539152233, min values: 6.0042e-07, max values: 37.465, median values: 0.19143, and quantile values: 0.25 0.048628\n0.50 0.191430\n0.75 0.813790\nName: 9365, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3662965524327044, std values: 5.015195186343312, min values: 1.2583e-06, max values: 41.818, median values: 0.17617, and quantile values: 0.25 0.058943\n0.50 0.176170\n0.75 0.761645\nName: 9366, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6115029997993713, std values: 4.990637855628742, min values: 1.0215e-06, max values: 40.146, median values: 0.25352, and quantile values: 0.25 0.069721\n0.50 0.253520\n0.75 1.064180\nName: 9367, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.531313332851572, std values: 5.167641070611107, min values: 7.076e-07, max values: 44.784, median values: 0.22431, and quantile values: 0.25 0.066751\n0.50 0.224310\n0.75 0.938945\nName: 9368, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.66080473582956, std values: 5.194830840880059, min values: 1.8023e-06, max values: 42.763, median values: 0.25259, and quantile values: 0.25 0.073871\n0.50 0.252590\n0.75 1.098850\nName: 9369, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7238164801050313, std values: 5.169709476372137, min values: 4.0772e-06, max values: 40.355, median values: 0.29601, and quantile values: 0.25 0.080711\n0.50 0.296010\n0.75 1.120700\nName: 9370, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3206767098553083, std values: 4.560591258384282, min values: 1.9394e-08, max values: 37.698, median values: 0.18899, and quantile values: 0.25 0.047216\n0.50 0.188990\n0.75 0.781470\nName: 9371, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5743632446559748, std values: 4.958114075083284, min values: 1.3537e-06, max values: 38.988, median values: 0.25255, and quantile values: 0.25 0.07892\n0.50 0.25255\n0.75 0.97459\nName: 9372, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4737972279800629, std values: 4.925289423929615, min values: 6.0843e-07, max values: 40.407, median values: 0.21831, and quantile values: 0.25 0.057266\n0.50 0.218310\n0.75 0.848270\nName: 9373, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7743477630000002, std values: 5.428860879379446, min values: 3.1442e-06, max values: 45.807, median values: 0.28105, and quantile values: 0.25 0.082395\n0.50 0.281050\n0.75 1.210200\nName: 9374, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.438460659505654, std values: 4.796943652320328, min values: 9.5499e-08, max values: 38.24, median values: 0.21114, and quantile values: 0.25 0.047651\n0.50 0.211140\n0.75 0.891415\nName: 9375, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6694020565023902, std values: 4.9965566992982104, min values: 3.6722e-07, max values: 40.676, median values: 0.25628, and quantile values: 0.25 0.060843\n0.50 0.256280\n0.75 1.088250\nName: 9376, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5186671967503145, std values: 5.11412031953739, min values: 2.5417e-06, max values: 42.081, median values: 0.22378, and quantile values: 0.25 0.067433\n0.50 0.223780\n0.75 0.885145\nName: 9377, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4527415773210695, std values: 4.984359483636393, min values: 4.5555e-07, max values: 41.256, median values: 0.21169, and quantile values: 0.25 0.051817\n0.50 0.211690\n0.75 0.866795\nName: 9378, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5271980323861638, std values: 5.040981637440072, min values: 1.8877e-06, max values: 40.398, median values: 0.2497, and quantile values: 0.25 0.063909\n0.50 0.249700\n0.75 0.938420\nName: 9379, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.328284687216352, std values: 4.995348257293768, min values: 2.13e-06, max values: 41.307, median values: 0.18844, and quantile values: 0.25 0.053225\n0.50 0.188440\n0.75 0.681255\nName: 9380, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5011410295779246, std values: 4.964180982517179, min values: 2.3269e-07, max values: 41.568, median values: 0.19913, and quantile values: 0.25 0.054178\n0.50 0.199130\n0.75 0.890515\nName: 9381, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3542442960032706, std values: 5.009352260509925, min values: 6.9542e-07, max values: 43.102, median values: 0.15887, and quantile values: 0.25 0.051671\n0.50 0.158870\n0.75 0.712495\nName: 9382, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5656514214867925, std values: 5.077687911757595, min values: 1.3686e-06, max values: 41.631, median values: 0.23631, and quantile values: 0.25 0.070777\n0.50 0.236310\n0.75 0.986055\nName: 9383, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5438984257264152, std values: 4.944355767510381, min values: 3.0615e-06, max values: 40.927, median values: 0.24602, and quantile values: 0.25 0.070907\n0.50 0.246020\n0.75 0.991840\nName: 9384, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3749316411968553, std values: 4.835851926815897, min values: 1.9561e-06, max values: 39.248, median values: 0.1984, and quantile values: 0.25 0.059950\n0.50 0.198400\n0.75 0.782015\nName: 9385, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.62899833626239, std values: 5.431187270099214, min values: 6.4022e-07, max values: 49.175, median values: 0.20327, and quantile values: 0.25 0.059437\n0.50 0.203270\n0.75 1.019250\nName: 9386, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4717478712075471, std values: 4.923799844507631, min values: 3.3409e-06, max values: 40.171, median values: 0.22414, and quantile values: 0.25 0.070393\n0.50 0.224140\n0.75 0.833945\nName: 9387, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4643598438116667, std values: 5.037502662973792, min values: 1.8725e-08, max values: 43.609, median values: 0.19119, and quantile values: 0.25 0.043534\n0.50 0.191190\n0.75 0.773260\nName: 9388, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4134548512232705, std values: 4.944427174250423, min values: 1.2135e-06, max values: 40.108, median values: 0.19983, and quantile values: 0.25 0.054755\n0.50 0.199830\n0.75 0.766510\nName: 9389, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7111313699924529, std values: 4.982569087394442, min values: 1.4516e-06, max values: 38.244, median values: 0.27037, and quantile values: 0.25 0.079493\n0.50 0.270370\n0.75 1.280850\nName: 9390, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3512734324301887, std values: 4.971917047217767, min values: 1.4578e-06, max values: 41.387, median values: 0.18834, and quantile values: 0.25 0.056810\n0.50 0.188340\n0.75 0.773675\nName: 9391, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4746133527251573, std values: 4.82964099051618, min values: 1.8225e-06, max values: 39.329, median values: 0.24016, and quantile values: 0.25 0.073883\n0.50 0.240160\n0.75 0.986655\nName: 9392, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5971567536509437, std values: 5.310994721844074, min values: 1.7498e-06, max values: 45.882, median values: 0.23598, and quantile values: 0.25 0.069367\n0.50 0.235980\n0.75 0.984845\nName: 9393, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5888179563811948, std values: 4.967569072516055, min values: 9.1871e-07, max values: 39.957, median values: 0.27148, and quantile values: 0.25 0.065323\n0.50 0.271480\n0.75 1.050700\nName: 9394, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4307627581226414, std values: 4.843970460011876, min values: 2.0685e-06, max values: 39.526, median values: 0.2129, and quantile values: 0.25 0.060999\n0.50 0.212900\n0.75 0.874195\nName: 9395, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2168116571402516, std values: 4.639034896330696, min values: 2.7992e-06, max values: 39.9, median values: 0.1477, and quantile values: 0.25 0.043404\n0.50 0.147700\n0.75 0.527390\nName: 9396, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6031839314748426, std values: 5.182493974538876, min values: 2.0932e-06, max values: 43.943, median values: 0.27784, and quantile values: 0.25 0.076393\n0.50 0.277840\n0.75 1.009850\nName: 9397, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5070070254259749, std values: 4.936815894943819, min values: 9.0463e-07, max values: 40.254, median values: 0.26696, and quantile values: 0.25 0.066331\n0.50 0.266960\n0.75 0.935925\nName: 9398, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6187789120831446, std values: 4.896098452360057, min values: 8.9312e-07, max values: 38.167, median values: 0.27222, and quantile values: 0.25 0.067516\n0.50 0.272220\n0.75 1.091250\nName: 9399, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2758880887651571, std values: 4.915318003805436, min values: 1.7336e-07, max values: 41.805, median values: 0.14602, and quantile values: 0.25 0.042034\n0.50 0.146020\n0.75 0.637060\nName: 9400, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2653474294624907, std values: 4.456405949822673, min values: 2.7266e-08, max values: 36.008, median values: 0.16786, and quantile values: 0.25 0.040544\n0.50 0.167860\n0.75 0.658155\nName: 9401, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.49437919888239, std values: 5.009002571977817, min values: 1.9506e-06, max values: 40.098, median values: 0.22976, and quantile values: 0.25 0.065576\n0.50 0.229760\n0.75 0.879530\nName: 9402, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4700161288827043, std values: 4.701980690517579, min values: 3.4765e-07, max values: 37.517, median values: 0.22702, and quantile values: 0.25 0.061078\n0.50 0.227020\n0.75 0.970230\nName: 9403, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.424968769379623, std values: 4.68795583825675, min values: 3.6676e-07, max values: 37.734, median values: 0.18116, and quantile values: 0.25 0.053949\n0.50 0.181160\n0.75 0.810770\nName: 9404, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.597941284155346, std values: 4.967486483584952, min values: 2.6656e-06, max values: 39.445, median values: 0.26118, and quantile values: 0.25 0.07446\n0.50 0.26118\n0.75 1.05640\nName: 9405, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5809996610427672, std values: 4.912955199636586, min values: 2.2643e-06, max values: 39.839, median values: 0.27144, and quantile values: 0.25 0.069171\n0.50 0.271440\n0.75 1.106650\nName: 9406, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.479284011444025, std values: 4.738689840578763, min values: 3.691e-06, max values: 39.95, median values: 0.24058, and quantile values: 0.25 0.072046\n0.50 0.240580\n0.75 0.857280\nName: 9407, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.481266152253396, std values: 4.632358423334263, min values: 9.3949e-07, max values: 37.818, median values: 0.23753, and quantile values: 0.25 0.063930\n0.50 0.237530\n0.75 0.959055\nName: 9408, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.554127678015283, std values: 4.943128713951993, min values: 1.7083e-07, max values: 40.194, median values: 0.25192, and quantile values: 0.25 0.065585\n0.50 0.251920\n0.75 0.998840\nName: 9409, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4382942048038367, std values: 4.920605309225775, min values: 5.6731e-07, max values: 40.892, median values: 0.19502, and quantile values: 0.25 0.053104\n0.50 0.195020\n0.75 0.897305\nName: 9410, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5649349198081761, std values: 5.082375069099719, min values: 4.0623e-06, max values: 40.87, median values: 0.26258, and quantile values: 0.25 0.068212\n0.50 0.262580\n0.75 0.899345\nName: 9411, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5511546274490566, std values: 5.0139020919112935, min values: 1.174e-06, max values: 40.554, median values: 0.24868, and quantile values: 0.25 0.069845\n0.50 0.248680\n0.75 0.958740\nName: 9412, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5862409369566042, std values: 5.260060177637593, min values: 2.3682e-06, max values: 44.631, median values: 0.24852, and quantile values: 0.25 0.066993\n0.50 0.248520\n0.75 0.943655\nName: 9413, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7887253058245278, std values: 5.18374401115679, min values: 4.0642e-06, max values: 39.939, median values: 0.29422, and quantile values: 0.25 0.093456\n0.50 0.294220\n0.75 1.236850\nName: 9414, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2893609981008178, std values: 4.897451683160648, min values: 2.9346e-07, max values: 42.128, median values: 0.16524, and quantile values: 0.25 0.040310\n0.50 0.165240\n0.75 0.626255\nName: 9415, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.619477383845283, std values: 4.9401165048352045, min values: 3.3693e-06, max values: 39.649, median values: 0.27681, and quantile values: 0.25 0.079841\n0.50 0.276810\n0.75 0.990150\nName: 9416, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5467120760642137, std values: 4.550384511675142, min values: 9.4151e-07, max values: 37.902, median values: 0.25957, and quantile values: 0.25 0.080907\n0.50 0.259570\n0.75 1.084200\nName: 9417, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.161409977062327, std values: 4.798993530881636, min values: 3.8107e-07, max values: 41.203, median values: 0.11743, and quantile values: 0.25 0.034834\n0.50 0.117430\n0.75 0.503550\nName: 9418, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3374766263547169, std values: 4.777377640647274, min values: 2.9336e-06, max values: 40.307, median values: 0.19686, and quantile values: 0.25 0.053085\n0.50 0.196860\n0.75 0.682715\nName: 9419, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5402110869672954, std values: 5.051850318700366, min values: 4.2812e-06, max values: 40.503, median values: 0.23275, and quantile values: 0.25 0.065918\n0.50 0.232750\n0.75 0.874135\nName: 9420, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6193482710993712, std values: 5.032006126267313, min values: 2.7546e-06, max values: 39.384, median values: 0.23473, and quantile values: 0.25 0.069207\n0.50 0.234730\n0.75 1.054000\nName: 9421, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3934098326181759, std values: 4.966267407460329, min values: 8.2199e-07, max values: 42.371, median values: 0.22261, and quantile values: 0.25 0.064381\n0.50 0.222610\n0.75 0.813930\nName: 9422, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2376823839157234, std values: 4.733042612449061, min values: 3.0405e-06, max values: 39.682, median values: 0.15876, and quantile values: 0.25 0.048723\n0.50 0.158760\n0.75 0.573130\nName: 9423, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.436910452880503, std values: 4.769090068568037, min values: 3.8605e-06, max values: 40.616, median values: 0.22883, and quantile values: 0.25 0.068267\n0.50 0.228830\n0.75 0.812735\nName: 9424, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.364186109923962, std values: 4.7556570523858435, min values: 1.3879e-07, max values: 38.702, median values: 0.16587, and quantile values: 0.25 0.050100\n0.50 0.165870\n0.75 0.714295\nName: 9425, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4491895390098302, std values: 4.914960806560624, min values: 1.8693e-08, max values: 41.571, median values: 0.21292, and quantile values: 0.25 0.050446\n0.50 0.212920\n0.75 0.794645\nName: 9426, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5250526567610065, std values: 4.957258774858759, min values: 2.6605e-06, max values: 39.491, median values: 0.22408, and quantile values: 0.25 0.063974\n0.50 0.224080\n0.75 0.940600\nName: 9427, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5954211271364782, std values: 4.790737252632303, min values: 1.496e-06, max values: 38.55, median values: 0.3049, and quantile values: 0.25 0.080221\n0.50 0.304900\n0.75 1.076100\nName: 9428, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5903403635106916, std values: 5.1759205724618225, min values: 1.9447e-06, max values: 42.823, median values: 0.23411, and quantile values: 0.25 0.067109\n0.50 0.234110\n0.75 0.966000\nName: 9429, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6700681516289309, std values: 5.013937146185484, min values: 3.0985e-06, max values: 39.804, median values: 0.27489, and quantile values: 0.25 0.077957\n0.50 0.274890\n0.75 1.079950\nName: 9430, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4896940754452765, std values: 5.164621001203735, min values: 1.4479e-08, max values: 45.723, median values: 0.18349, and quantile values: 0.25 0.047495\n0.50 0.183490\n0.75 0.899740\nName: 9431, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5218454984433962, std values: 4.961692200243457, min values: 3.5093e-06, max values: 39.528, median values: 0.23506, and quantile values: 0.25 0.072396\n0.50 0.235060\n0.75 0.907095\nName: 9432, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3809409285950944, std values: 4.848847707193311, min values: 6.8932e-07, max values: 39.367, median values: 0.19934, and quantile values: 0.25 0.056134\n0.50 0.199340\n0.75 0.781255\nName: 9433, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3065037171955345, std values: 4.757719380622926, min values: 6.4831e-07, max values: 39.269, median values: 0.16553, and quantile values: 0.25 0.045486\n0.50 0.165530\n0.75 0.662725\nName: 9434, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3377090977455348, std values: 4.890515208718923, min values: 3.9074e-07, max values: 40.798, median values: 0.18649, and quantile values: 0.25 0.049867\n0.50 0.186490\n0.75 0.770170\nName: 9435, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3910759939379873, std values: 4.772593137506636, min values: 0.0, max values: 38.341, median values: 0.17711, and quantile values: 0.25 0.053440\n0.50 0.177110\n0.75 0.836715\nName: 9436, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4883945605685536, std values: 4.924030826472487, min values: 6.259e-07, max values: 39.582, median values: 0.2403, and quantile values: 0.25 0.065166\n0.50 0.240300\n0.75 0.942880\nName: 9437, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.761241109801887, std values: 5.0025393901774775, min values: 1.9578e-06, max values: 38.975, median values: 0.30651, and quantile values: 0.25 0.085464\n0.50 0.306510\n0.75 1.261850\nName: 9438, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5620908865284278, std values: 4.8037120648880265, min values: 3.3082e-07, max values: 37.428, median values: 0.27398, and quantile values: 0.25 0.06494\n0.50 0.27398\n0.75 1.02705\nName: 9439, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4524839071693083, std values: 4.779696098286772, min values: 6.9452e-07, max values: 37.869, median values: 0.21676, and quantile values: 0.25 0.063072\n0.50 0.216760\n0.75 0.892805\nName: 9440, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6571806813635224, std values: 5.237348015380332, min values: 2.8721e-06, max values: 43.13, median values: 0.2837, and quantile values: 0.25 0.070124\n0.50 0.283700\n0.75 1.063200\nName: 9441, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4262866518748425, std values: 4.78012800802956, min values: 2.7762e-06, max values: 39.962, median values: 0.20095, and quantile values: 0.25 0.063709\n0.50 0.200950\n0.75 0.852515\nName: 9442, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5848305731742138, std values: 5.008671527178867, min values: 2.9118e-06, max values: 39.674, median values: 0.26263, and quantile values: 0.25 0.074264\n0.50 0.262630\n0.75 0.972590\nName: 9443, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3649346065273584, std values: 4.691214130777742, min values: 3.4915e-07, max values: 37.283, median values: 0.20559, and quantile values: 0.25 0.054454\n0.50 0.205590\n0.75 0.815385\nName: 9444, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6127030613301887, std values: 4.982878378948337, min values: 1.4669e-06, max values: 39.151, median values: 0.25811, and quantile values: 0.25 0.073576\n0.50 0.258110\n0.75 1.056700\nName: 9445, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7355827012974843, std values: 5.132553363766895, min values: 2.2594e-06, max values: 40.498, median values: 0.28456, and quantile values: 0.25 0.080471\n0.50 0.284560\n0.75 1.219550\nName: 9446, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7220554688977106, std values: 5.259432470598088, min values: 3.2966e-08, max values: 45.784, median values: 0.26478, and quantile values: 0.25 0.055329\n0.50 0.264780\n0.75 1.114800\nName: 9447, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5827474467037737, std values: 5.106670695740249, min values: 1.269e-06, max values: 42.696, median values: 0.26069, and quantile values: 0.25 0.069652\n0.50 0.260690\n0.75 0.953875\nName: 9448, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3472516518880502, std values: 4.855164526638261, min values: 6.566e-07, max values: 40.044, median values: 0.18636, and quantile values: 0.25 0.054707\n0.50 0.186360\n0.75 0.692375\nName: 9449, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3681501848308175, std values: 4.820596844934828, min values: 1.4e-06, max values: 39.327, median values: 0.18709, and quantile values: 0.25 0.057963\n0.50 0.187090\n0.75 0.829010\nName: 9450, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6665410801, std values: 5.139292242229508, min values: 1.0822e-06, max values: 42.187, median values: 0.24162, and quantile values: 0.25 0.069925\n0.50 0.241620\n0.75 1.118150\nName: 9451, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6977049727949685, std values: 5.4323797133274585, min values: 7.7127e-06, max values: 43.418, median values: 0.26942, and quantile values: 0.25 0.068466\n0.50 0.269420\n0.75 0.949140\nName: 9452, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6316898162823898, std values: 5.152377961375296, min values: 2.404e-07, max values: 43.883, median values: 0.25377, and quantile values: 0.25 0.072928\n0.50 0.253770\n0.75 1.094700\nName: 9453, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5133766423924402, std values: 5.04048669919523, min values: 2.7318e-08, max values: 42.945, median values: 0.20056, and quantile values: 0.25 0.053375\n0.50 0.200560\n0.75 0.954325\nName: 9454, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4887803924025158, std values: 4.835486048930432, min values: 2.3098e-06, max values: 39.16, median values: 0.2418, and quantile values: 0.25 0.075431\n0.50 0.241800\n0.75 0.846255\nName: 9455, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.613446640530189, std values: 5.313849272450372, min values: 2.0419e-06, max values: 45.544, median values: 0.22805, and quantile values: 0.25 0.064331\n0.50 0.228050\n0.75 0.997085\nName: 9456, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3049176902075472, std values: 4.6839334192325035, min values: 1.3e-06, max values: 38.235, median values: 0.18511, and quantile values: 0.25 0.056832\n0.50 0.185110\n0.75 0.688070\nName: 9457, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7330768105735852, std values: 5.183944677024486, min values: 2.8405e-06, max values: 41.488, median values: 0.293, and quantile values: 0.25 0.083311\n0.50 0.293000\n0.75 1.174300\nName: 9458, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5274071404547171, std values: 4.896473439889396, min values: 4.2253e-06, max values: 40.289, median values: 0.22977, and quantile values: 0.25 0.068113\n0.50 0.229770\n0.75 0.921300\nName: 9459, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.591500461255346, std values: 4.902367640692161, min values: 2.4903e-06, max values: 39.243, median values: 0.2926, and quantile values: 0.25 0.07953\n0.50 0.29260\n0.75 1.02745\nName: 9460, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2811079292969811, std values: 4.655117666802659, min values: 4.8252e-07, max values: 38.184, median values: 0.16638, and quantile values: 0.25 0.049125\n0.50 0.166380\n0.75 0.701555\nName: 9461, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.301608763080503, std values: 4.751755469462747, min values: 1.6684e-06, max values: 39.319, median values: 0.18435, and quantile values: 0.25 0.053627\n0.50 0.184350\n0.75 0.670530\nName: 9462, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.352242866089308, std values: 4.637331450055984, min values: 1.7414e-07, max values: 36.665, median values: 0.19088, and quantile values: 0.25 0.047349\n0.50 0.190880\n0.75 0.796980\nName: 9463, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5720568877075471, std values: 5.11740725540006, min values: 2.1234e-06, max values: 41.968, median values: 0.22129, and quantile values: 0.25 0.06305\n0.50 0.22129\n0.75 0.98978\nName: 9464, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6511086288062895, std values: 5.1086935023598326, min values: 2.866e-06, max values: 40.856, median values: 0.25495, and quantile values: 0.25 0.073859\n0.50 0.254950\n0.75 1.113350\nName: 9465, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7851473069389936, std values: 5.975874244847482, min values: 1.8429e-06, max values: 57.695, median values: 0.28453, and quantile values: 0.25 0.082354\n0.50 0.284530\n0.75 1.124450\nName: 9466, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4997355688735847, std values: 4.95623910316693, min values: 3.8512e-06, max values: 40.146, median values: 0.2411, and quantile values: 0.25 0.066067\n0.50 0.241100\n0.75 0.830940\nName: 9467, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.615764892854088, std values: 5.062106347231493, min values: 6.3158e-06, max values: 40.548, median values: 0.27205, and quantile values: 0.25 0.077987\n0.50 0.272050\n0.75 1.048250\nName: 9468, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3612001415271067, std values: 4.940953023922636, min values: 5.4281e-07, max values: 41.419, median values: 0.17237, and quantile values: 0.25 0.052802\n0.50 0.172370\n0.75 0.721030\nName: 9469, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2547607389981132, std values: 4.631033785328333, min values: 1.7318e-06, max values: 39.917, median values: 0.15703, and quantile values: 0.25 0.048175\n0.50 0.157030\n0.75 0.637420\nName: 9470, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4596134540056604, std values: 4.842399528459614, min values: 1.5024e-06, max values: 39.786, median values: 0.20954, and quantile values: 0.25 0.064808\n0.50 0.209540\n0.75 0.887235\nName: 9471, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3958592067581133, std values: 4.675315979850915, min values: 8.4864e-07, max values: 37.766, median values: 0.19072, and quantile values: 0.25 0.055308\n0.50 0.190720\n0.75 0.859465\nName: 9472, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5019147177786163, std values: 4.98107883034975, min values: 3.8143e-06, max values: 40.056, median values: 0.22907, and quantile values: 0.25 0.065851\n0.50 0.229070\n0.75 0.895630\nName: 9473, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4491363345742136, std values: 4.849813248800385, min values: 1.8579e-06, max values: 39.078, median values: 0.18986, and quantile values: 0.25 0.062177\n0.50 0.189860\n0.75 0.883425\nName: 9474, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4834125531708175, std values: 4.958692382202352, min values: 7.6376e-07, max values: 41.016, median values: 0.22913, and quantile values: 0.25 0.062179\n0.50 0.229130\n0.75 0.919665\nName: 9475, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.538043312637107, std values: 5.278878782071262, min values: 1.2578e-06, max values: 46.167, median values: 0.22242, and quantile values: 0.25 0.064995\n0.50 0.222420\n0.75 0.900705\nName: 9476, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.590016282207547, std values: 5.010512999322649, min values: 6.0441e-06, max values: 40.714, median values: 0.27191, and quantile values: 0.25 0.081183\n0.50 0.271910\n0.75 0.931210\nName: 9477, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.553447637190629, std values: 4.997689167656906, min values: 2.1541e-07, max values: 41.74, median values: 0.22397, and quantile values: 0.25 0.060289\n0.50 0.223970\n0.75 0.995260\nName: 9478, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4040664112427674, std values: 4.896283364264227, min values: 2.8492e-06, max values: 40.621, median values: 0.20399, and quantile values: 0.25 0.057341\n0.50 0.203990\n0.75 0.837075\nName: 9479, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5337556767308174, std values: 4.702575227544414, min values: 0.0, max values: 38.317, median values: 0.25853, and quantile values: 0.25 0.076469\n0.50 0.258530\n0.75 1.000630\nName: 9480, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6203559677530819, std values: 5.093992923458491, min values: 8.6694e-07, max values: 42.657, median values: 0.27413, and quantile values: 0.25 0.069902\n0.50 0.274130\n0.75 1.026900\nName: 9481, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3471563445499122, std values: 4.709240573664289, min values: 2.8226e-08, max values: 38.024, median values: 0.17711, and quantile values: 0.25 0.043098\n0.50 0.177110\n0.75 0.734765\nName: 9482, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5849545805792453, std values: 5.213015994743755, min values: 4.4635e-06, max values: 42.735, median values: 0.24655, and quantile values: 0.25 0.069918\n0.50 0.246550\n0.75 0.918255\nName: 9483, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3300579324915724, std values: 4.849172782530471, min values: 7.6866e-07, max values: 39.035, median values: 0.18043, and quantile values: 0.25 0.052236\n0.50 0.180430\n0.75 0.711515\nName: 9484, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.357306593531761, std values: 4.758723470935723, min values: 9.1375e-07, max values: 38.362, median values: 0.20248, and quantile values: 0.25 0.057847\n0.50 0.202480\n0.75 0.804875\nName: 9485, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4519808950771005, std values: 4.623751164737573, min values: 3.0709e-08, max values: 36.532, median values: 0.20138, and quantile values: 0.25 0.049156\n0.50 0.201380\n0.75 0.847550\nName: 9486, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5028447816339623, std values: 5.095668794158646, min values: 2.2369e-06, max values: 42.597, median values: 0.23658, and quantile values: 0.25 0.067939\n0.50 0.236580\n0.75 0.899755\nName: 9487, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4260311028498742, std values: 4.952325636615954, min values: 7.8663e-07, max values: 41.015, median values: 0.17334, and quantile values: 0.25 0.050182\n0.50 0.173340\n0.75 0.803080\nName: 9488, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4274379104598744, std values: 4.891111466516457, min values: 1.0231e-07, max values: 40.834, median values: 0.18467, and quantile values: 0.25 0.047311\n0.50 0.184670\n0.75 0.786070\nName: 9489, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4868234310956603, std values: 4.528888031592052, min values: 1.9331e-07, max values: 36.53, median values: 0.2113, and quantile values: 0.25 0.052325\n0.50 0.211300\n0.75 0.967100\nName: 9490, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6191686644188683, std values: 5.119163042756212, min values: 2.6701e-06, max values: 40.796, median values: 0.26626, and quantile values: 0.25 0.06487\n0.50 0.26626\n0.75 1.09370\nName: 9491, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3090440337108178, std values: 4.547131995020303, min values: 8.7252e-07, max values: 38.22, median values: 0.1835, and quantile values: 0.25 0.062186\n0.50 0.183500\n0.75 0.720165\nName: 9492, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3659793093646542, std values: 4.694558562325962, min values: 7.2198e-07, max values: 37.383, median values: 0.1751, and quantile values: 0.25 0.050748\n0.50 0.175100\n0.75 0.683740\nName: 9493, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7879077297006287, std values: 5.095676504214174, min values: 4.1023e-06, max values: 39.605, median values: 0.30767, and quantile values: 0.25 0.100108\n0.50 0.307670\n0.75 1.126050\nName: 9494, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.520605299362264, std values: 5.288018237960091, min values: 2.5238e-06, max values: 44.474, median values: 0.22382, and quantile values: 0.25 0.064742\n0.50 0.223820\n0.75 0.823300\nName: 9495, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4171478039980503, std values: 4.810765853419115, min values: 7.8299e-07, max values: 38.432, median values: 0.21474, and quantile values: 0.25 0.060331\n0.50 0.214740\n0.75 0.811160\nName: 9496, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5699368648210692, std values: 4.895161555181656, min values: 5.7865e-07, max values: 39.055, median values: 0.26163, and quantile values: 0.25 0.069106\n0.50 0.261630\n0.75 1.085600\nName: 9497, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8132235626685536, std values: 5.305787392513823, min values: 1.8365e-06, max values: 43.693, median values: 0.30229, and quantile values: 0.25 0.082913\n0.50 0.302290\n0.75 1.310650\nName: 9498, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.35338565103522, std values: 4.732547258499986, min values: 1.3464e-06, max values: 38.216, median values: 0.20585, and quantile values: 0.25 0.058443\n0.50 0.205850\n0.75 0.821160\nName: 9499, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6325612831465408, std values: 5.363718152128013, min values: 5.2467e-06, max values: 44.507, median values: 0.25757, and quantile values: 0.25 0.079280\n0.50 0.257570\n0.75 0.863835\nName: 9500, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.409204023718516, std values: 4.6825507423057475, min values: 3.0324e-08, max values: 36.862, median values: 0.1978, and quantile values: 0.25 0.045312\n0.50 0.197800\n0.75 0.886515\nName: 9501, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4392211909069181, std values: 4.852491436060367, min values: 5.3672e-06, max values: 41.187, median values: 0.2261, and quantile values: 0.25 0.065642\n0.50 0.226100\n0.75 0.737390\nName: 9502, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3432568315294968, std values: 4.922764561295565, min values: 6.2309e-07, max values: 41.948, median values: 0.16602, and quantile values: 0.25 0.044483\n0.50 0.166020\n0.75 0.766660\nName: 9503, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3699508317439624, std values: 4.721599825768452, min values: 8.8309e-07, max values: 38.488, median values: 0.2085, and quantile values: 0.25 0.056405\n0.50 0.208500\n0.75 0.759290\nName: 9504, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.500948467993522, std values: 4.959542953831562, min values: 5.4367e-07, max values: 41.061, median values: 0.21608, and quantile values: 0.25 0.062719\n0.50 0.216080\n0.75 0.893170\nName: 9505, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5628861586842766, std values: 5.004710884243263, min values: 1.8641e-06, max values: 40.157, median values: 0.2489, and quantile values: 0.25 0.072211\n0.50 0.248900\n0.75 1.002490\nName: 9506, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.487567176116981, std values: 4.916324608263562, min values: 1.7865e-06, max values: 39.18, median values: 0.22994, and quantile values: 0.25 0.065868\n0.50 0.229940\n0.75 0.941160\nName: 9507, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.469169506644654, std values: 4.984638591601849, min values: 2.4599e-06, max values: 39.797, median values: 0.23576, and quantile values: 0.25 0.076009\n0.50 0.235760\n0.75 0.927615\nName: 9508, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5725514921936352, std values: 5.028169405377703, min values: 5.7188e-08, max values: 42.208, median values: 0.22477, and quantile values: 0.25 0.063243\n0.50 0.224770\n0.75 1.059900\nName: 9509, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6269726935855344, std values: 5.031700231379847, min values: 3.4225e-06, max values: 39.92, median values: 0.26082, and quantile values: 0.25 0.072962\n0.50 0.260820\n0.75 1.053200\nName: 9510, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2933276679559746, std values: 4.772592970738119, min values: 3.2553e-06, max values: 39.761, median values: 0.15396, and quantile values: 0.25 0.054832\n0.50 0.153960\n0.75 0.525090\nName: 9511, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5695729329371069, std values: 4.989805346578429, min values: 1.9563e-06, max values: 39.552, median values: 0.23886, and quantile values: 0.25 0.069826\n0.50 0.238860\n0.75 0.980705\nName: 9512, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2840142927661007, std values: 4.732894232471853, min values: 1.901e-08, max values: 38.167, median values: 0.16349, and quantile values: 0.25 0.045337\n0.50 0.163490\n0.75 0.689600\nName: 9513, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.495878975108176, std values: 5.06405471089165, min values: 9.163e-07, max values: 43.189, median values: 0.22435, and quantile values: 0.25 0.062766\n0.50 0.224350\n0.75 0.806820\nName: 9514, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3116423734616225, std values: 4.5983812185851844, min values: 2.1398e-08, max values: 37.021, median values: 0.18294, and quantile values: 0.25 0.047259\n0.50 0.182940\n0.75 0.721515\nName: 9515, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4386316695207546, std values: 4.846092020177006, min values: 1.2626e-06, max values: 38.791, median values: 0.20804, and quantile values: 0.25 0.060294\n0.50 0.208040\n0.75 0.877260\nName: 9516, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3180470168150316, std values: 4.722499497191133, min values: 2.2889e-07, max values: 37.922, median values: 0.1789, and quantile values: 0.25 0.053537\n0.50 0.178900\n0.75 0.777305\nName: 9517, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5374134824727046, std values: 5.157929748888868, min values: 7.2976e-07, max values: 44.34, median values: 0.20045, and quantile values: 0.25 0.061658\n0.50 0.200450\n0.75 0.904040\nName: 9518, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3633836832894592, std values: 4.922309993149732, min values: 1.7124e-08, max values: 41.854, median values: 0.16134, and quantile values: 0.25 0.053368\n0.50 0.161340\n0.75 0.777375\nName: 9519, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.812650540771698, std values: 5.120488300566761, min values: 2.6063e-06, max values: 39.841, median values: 0.33069, and quantile values: 0.25 0.098575\n0.50 0.330690\n0.75 1.289800\nName: 9520, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5105833335786165, std values: 4.932887581019193, min values: 1.5992e-06, max values: 39.801, median values: 0.23443, and quantile values: 0.25 0.072929\n0.50 0.234430\n0.75 0.982850\nName: 9521, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.448167745319497, std values: 5.013825018122619, min values: 2.1104e-06, max values: 41.854, median values: 0.21407, and quantile values: 0.25 0.062904\n0.50 0.214070\n0.75 0.868795\nName: 9522, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5231858354704404, std values: 4.979046772746525, min values: 1.799e-06, max values: 39.404, median values: 0.2352, and quantile values: 0.25 0.074364\n0.50 0.235200\n0.75 1.041500\nName: 9523, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5242019233327044, std values: 5.001396756089555, min values: 2.273e-06, max values: 39.822, median values: 0.2775, and quantile values: 0.25 0.067793\n0.50 0.277500\n0.75 0.894310\nName: 9524, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2689601917491196, std values: 4.581873732441368, min values: 6.3011e-07, max values: 38.359, median values: 0.15045, and quantile values: 0.25 0.055855\n0.50 0.150450\n0.75 0.735395\nName: 9525, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2452057068272957, std values: 4.52020406284829, min values: 2.7744e-07, max values: 37.06, median values: 0.15999, and quantile values: 0.25 0.046898\n0.50 0.159990\n0.75 0.679565\nName: 9526, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3310816207012577, std values: 4.88513422533563, min values: 1.4685e-06, max values: 39.563, median values: 0.18428, and quantile values: 0.25 0.052747\n0.50 0.184280\n0.75 0.784190\nName: 9527, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5781391803377358, std values: 5.079586123289484, min values: 1.5899e-06, max values: 41.841, median values: 0.26413, and quantile values: 0.25 0.07393\n0.50 0.26413\n0.75 1.00373\nName: 9528, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5111856592610065, std values: 5.028624881659336, min values: 2.4238e-06, max values: 40.553, median values: 0.24204, and quantile values: 0.25 0.073712\n0.50 0.242040\n0.75 0.929780\nName: 9529, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4367456753298742, std values: 4.736899292304046, min values: 7.1205e-07, max values: 37.375, median values: 0.18429, and quantile values: 0.25 0.05461\n0.50 0.18429\n0.75 0.86122\nName: 9530, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4951363812116982, std values: 4.828709977410329, min values: 9.6636e-07, max values: 37.932, median values: 0.2289, and quantile values: 0.25 0.064528\n0.50 0.228900\n0.75 0.965485\nName: 9531, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7065352618874214, std values: 5.024077500371519, min values: 2.1365e-06, max values: 39.322, median values: 0.29278, and quantile values: 0.25 0.084541\n0.50 0.292780\n0.75 1.163950\nName: 9532, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.51188242351283, std values: 5.053533609099326, min values: 4.5624e-07, max values: 43.0, median values: 0.20227, and quantile values: 0.25 0.053545\n0.50 0.202270\n0.75 0.849390\nName: 9533, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2865476622792456, std values: 4.731775510778847, min values: 1.5985e-06, max values: 38.652, median values: 0.17081, and quantile values: 0.25 0.053581\n0.50 0.170810\n0.75 0.715870\nName: 9534, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2408840196012578, std values: 4.697048389967478, min values: 1.7588e-06, max values: 39.069, median values: 0.15176, and quantile values: 0.25 0.050469\n0.50 0.151760\n0.75 0.643165\nName: 9535, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5575957023538554, std values: 5.10451404110063, min values: 3.2943e-08, max values: 44.382, median values: 0.25138, and quantile values: 0.25 0.060709\n0.50 0.251380\n0.75 0.936815\nName: 9536, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4326310866286414, std values: 4.597550952805482, min values: 3.0664e-08, max values: 36.393, median values: 0.1815, and quantile values: 0.25 0.038805\n0.50 0.181500\n0.75 0.927545\nName: 9537, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.71572120701761, std values: 5.130041583760382, min values: 4.439e-06, max values: 40.082, median values: 0.28035, and quantile values: 0.25 0.084034\n0.50 0.280350\n0.75 1.107350\nName: 9538, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.25434660489717, std values: 4.875305084555116, min values: 6.1625e-07, max values: 41.539, median values: 0.12367, and quantile values: 0.25 0.038466\n0.50 0.123670\n0.75 0.564530\nName: 9539, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.430524062537044, std values: 4.892188569722429, min values: 6.7349e-07, max values: 40.691, median values: 0.21672, and quantile values: 0.25 0.062279\n0.50 0.216720\n0.75 0.873785\nName: 9540, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.377816371563522, std values: 4.8800574251253765, min values: 1.1564e-06, max values: 39.184, median values: 0.18051, and quantile values: 0.25 0.054259\n0.50 0.180510\n0.75 0.793930\nName: 9541, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5317631349756982, std values: 4.8325755648399005, min values: 2.0736e-08, max values: 38.75, median values: 0.24423, and quantile values: 0.25 0.064275\n0.50 0.244230\n0.75 1.039900\nName: 9542, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7952169071503148, std values: 5.281994023256671, min values: 3.1741e-06, max values: 43.25, median values: 0.31472, and quantile values: 0.25 0.093376\n0.50 0.314720\n0.75 1.280500\nName: 9543, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6825144142, std values: 5.155604431134177, min values: 2.4134e-06, max values: 41.436, median values: 0.29529, and quantile values: 0.25 0.078577\n0.50 0.295290\n0.75 1.127700\nName: 9544, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6376839735377358, std values: 5.3448378055016095, min values: 2.4484e-06, max values: 45.82, median values: 0.26182, and quantile values: 0.25 0.071158\n0.50 0.261820\n0.75 0.968090\nName: 9545, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.388401529638365, std values: 4.921488703867951, min values: 3.2549e-06, max values: 40.298, median values: 0.20786, and quantile values: 0.25 0.057673\n0.50 0.207860\n0.75 0.754785\nName: 9546, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4225469169496856, std values: 4.7181195057400185, min values: 1.8322e-06, max values: 38.681, median values: 0.22372, and quantile values: 0.25 0.065433\n0.50 0.223720\n0.75 0.870560\nName: 9547, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5876106619761008, std values: 5.021083885329189, min values: 6.176e-07, max values: 40.834, median values: 0.24195, and quantile values: 0.25 0.063275\n0.50 0.241950\n0.75 0.937030\nName: 9548, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6139314757798742, std values: 4.9169456960475095, min values: 2.5613e-06, max values: 39.499, median values: 0.27306, and quantile values: 0.25 0.074882\n0.50 0.273060\n0.75 1.050035\nName: 9549, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3498498613911951, std values: 4.776140341977896, min values: 1.6401e-06, max values: 38.636, median values: 0.19638, and quantile values: 0.25 0.05881\n0.50 0.19638\n0.75 0.74391\nName: 9550, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.519650044743522, std values: 4.928994847310542, min values: 2.3442e-07, max values: 40.629, median values: 0.19054, and quantile values: 0.25 0.054364\n0.50 0.190540\n0.75 0.923305\nName: 9551, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3180917167483774, std values: 4.658452951329136, min values: 2.8282e-08, max values: 37.326, median values: 0.15216, and quantile values: 0.25 0.044234\n0.50 0.152160\n0.75 0.753135\nName: 9552, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5372745718167296, std values: 4.972193821019262, min values: 6.3516e-07, max values: 40.767, median values: 0.24653, and quantile values: 0.25 0.060397\n0.50 0.246530\n0.75 0.963875\nName: 9553, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6018933963592454, std values: 4.738180109601772, min values: 5.7542e-07, max values: 37.393, median values: 0.26218, and quantile values: 0.25 0.06999\n0.50 0.26218\n0.75 1.07885\nName: 9554, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4861310555515723, std values: 4.696845665874139, min values: 1.2052e-06, max values: 37.63, median values: 0.23306, and quantile values: 0.25 0.070598\n0.50 0.233060\n0.75 0.940725\nName: 9555, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4945891800835223, std values: 4.684479708870003, min values: 6.2788e-07, max values: 37.666, median values: 0.24412, and quantile values: 0.25 0.064803\n0.50 0.244120\n0.75 0.999720\nName: 9556, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5887799284591195, std values: 5.022303080549541, min values: 1.3546e-06, max values: 40.585, median values: 0.24724, and quantile values: 0.25 0.068374\n0.50 0.247240\n0.75 0.975230\nName: 9557, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5465536540779872, std values: 4.904572870693135, min values: 1.412e-06, max values: 38.832, median values: 0.26194, and quantile values: 0.25 0.071507\n0.50 0.261940\n0.75 0.987180\nName: 9558, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5288648468124844, std values: 4.935343573554746, min values: 7.9685e-08, max values: 40.132, median values: 0.22654, and quantile values: 0.25 0.063971\n0.50 0.226540\n0.75 0.975830\nName: 9559, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5634575258998116, std values: 4.82587483563997, min values: 1.7897e-07, max values: 38.136, median values: 0.25284, and quantile values: 0.25 0.073842\n0.50 0.252840\n0.75 1.087100\nName: 9560, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.483743390999371, std values: 4.9103756712541875, min values: 2.3466e-06, max values: 39.622, median values: 0.24687, and quantile values: 0.25 0.069038\n0.50 0.246870\n0.75 0.928620\nName: 9561, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4994426571574782, std values: 4.6644269620607295, min values: 2.5619e-08, max values: 36.933, median values: 0.20148, and quantile values: 0.25 0.051731\n0.50 0.201480\n0.75 1.030350\nName: 9562, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.29432588931761, std values: 4.913475039742696, min values: 1.069e-06, max values: 40.548, median values: 0.15855, and quantile values: 0.25 0.047665\n0.50 0.158550\n0.75 0.695495\nName: 9563, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5953896192754717, std values: 5.024407478531726, min values: 4.8774e-06, max values: 41.396, median values: 0.23929, and quantile values: 0.25 0.070657\n0.50 0.239290\n0.75 1.023515\nName: 9564, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3938579101811321, std values: 4.82229204428937, min values: 1.5003e-06, max values: 39.355, median values: 0.20909, and quantile values: 0.25 0.060144\n0.50 0.209090\n0.75 0.816785\nName: 9565, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.245251201557673, std values: 4.7283417746315495, min values: 8.7927e-07, max values: 38.912, median values: 0.1668, and quantile values: 0.25 0.051192\n0.50 0.166800\n0.75 0.673355\nName: 9566, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.554317641408176, std values: 5.0010154083509635, min values: 3.2681e-06, max values: 39.568, median values: 0.26932, and quantile values: 0.25 0.080650\n0.50 0.269320\n0.75 0.907915\nName: 9567, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.288086008768239, std values: 4.95081736331595, min values: 2.2455e-07, max values: 42.563, median values: 0.13772, and quantile values: 0.25 0.039233\n0.50 0.137720\n0.75 0.660470\nName: 9568, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6334223828785535, std values: 5.015994283062455, min values: 1.7046e-07, max values: 41.978, median values: 0.2215, and quantile values: 0.25 0.049968\n0.50 0.221500\n0.75 0.983185\nName: 9569, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6243776641754717, std values: 5.038509870738023, min values: 3.0811e-06, max values: 39.77, median values: 0.27736, and quantile values: 0.25 0.075807\n0.50 0.277360\n0.75 1.053950\nName: 9570, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.368832132055346, std values: 4.966974258540672, min values: 1.333e-06, max values: 40.308, median values: 0.18132, and quantile values: 0.25 0.058913\n0.50 0.181320\n0.75 0.801035\nName: 9571, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4726486330704405, std values: 4.739991426507175, min values: 3.6466e-06, max values: 40.074, median values: 0.24226, and quantile values: 0.25 0.064216\n0.50 0.242260\n0.75 0.817930\nName: 9572, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4990045350320755, std values: 5.004850210881891, min values: 3.0795e-06, max values: 39.738, median values: 0.23183, and quantile values: 0.25 0.067488\n0.50 0.231830\n0.75 0.923355\nName: 9573, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2443800010566037, std values: 4.6857124157257495, min values: 1.6156e-06, max values: 39.762, median values: 0.17571, and quantile values: 0.25 0.050724\n0.50 0.175710\n0.75 0.695675\nName: 9574, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4392409782735849, std values: 4.8546926359951215, min values: 1.3922e-06, max values: 38.518, median values: 0.21496, and quantile values: 0.25 0.060908\n0.50 0.214960\n0.75 0.852875\nName: 9575, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.52741786951761, std values: 4.983052424857406, min values: 1.8246e-06, max values: 40.127, median values: 0.23131, and quantile values: 0.25 0.066859\n0.50 0.231310\n0.75 0.970240\nName: 9576, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5108573306320754, std values: 5.00840157462629, min values: 2.0343e-06, max values: 40.445, median values: 0.20763, and quantile values: 0.25 0.063394\n0.50 0.207630\n0.75 0.931715\nName: 9577, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.651068354909434, std values: 5.08221279785657, min values: 1.8228e-06, max values: 40.537, median values: 0.2615, and quantile values: 0.25 0.073907\n0.50 0.261500\n0.75 1.022230\nName: 9578, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3413513722584907, std values: 4.657243617623005, min values: 1.5573e-06, max values: 38.373, median values: 0.19074, and quantile values: 0.25 0.055633\n0.50 0.190740\n0.75 0.760730\nName: 9579, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.647608613218239, std values: 5.190401476034585, min values: 4.8779e-06, max values: 41.005, median values: 0.28865, and quantile values: 0.25 0.089528\n0.50 0.288650\n0.75 0.995095\nName: 9580, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4595092258704845, std values: 5.129418156855059, min values: 2.9307e-08, max values: 45.478, median values: 0.22861, and quantile values: 0.25 0.052256\n0.50 0.228610\n0.75 0.876945\nName: 9581, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6472192547647797, std values: 5.386429548429032, min values: 5.6921e-06, max values: 44.27, median values: 0.25685, and quantile values: 0.25 0.070985\n0.50 0.256850\n0.75 0.933985\nName: 9582, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.494859906245912, std values: 4.95946039487801, min values: 2.6269e-06, max values: 39.644, median values: 0.22941, and quantile values: 0.25 0.065232\n0.50 0.229410\n0.75 0.902090\nName: 9583, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2029610317642139, std values: 4.63871393093641, min values: 5.9041e-07, max values: 37.693, median values: 0.14927, and quantile values: 0.25 0.042133\n0.50 0.149270\n0.75 0.623995\nName: 9584, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7142222912955978, std values: 5.252348611335733, min values: 3.9952e-06, max values: 41.658, median values: 0.28052, and quantile values: 0.25 0.076084\n0.50 0.280520\n0.75 1.067800\nName: 9585, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5680550275245282, std values: 4.942321808534723, min values: 1.0898e-06, max values: 39.104, median values: 0.25253, and quantile values: 0.25 0.072318\n0.50 0.252530\n0.75 0.966860\nName: 9586, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3696468869941507, std values: 4.936127435376869, min values: 5.2507e-07, max values: 41.611, median values: 0.19525, and quantile values: 0.25 0.057533\n0.50 0.195250\n0.75 0.773425\nName: 9587, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6213374978616353, std values: 4.884589794154175, min values: 6.259e-07, max values: 37.928, median values: 0.25171, and quantile values: 0.25 0.058994\n0.50 0.251710\n0.75 1.063850\nName: 9588, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4448907038114467, std values: 4.941216516820548, min values: 3.4822e-07, max values: 41.25, median values: 0.20698, and quantile values: 0.25 0.056491\n0.50 0.206980\n0.75 0.828455\nName: 9589, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5536383319270441, std values: 5.032582087679649, min values: 2.8344e-06, max values: 40.333, median values: 0.23271, and quantile values: 0.25 0.07860\n0.50 0.23271\n0.75 0.94265\nName: 9590, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5310973502050942, std values: 5.294098946330592, min values: 1.4821e-07, max values: 47.702, median values: 0.2471, and quantile values: 0.25 0.058984\n0.50 0.247100\n0.75 0.955750\nName: 9591, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.478134963291824, std values: 5.230443025331493, min values: 1.6794e-06, max values: 45.948, median values: 0.24144, and quantile values: 0.25 0.056415\n0.50 0.241440\n0.75 0.854535\nName: 9592, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2787966900379308, std values: 4.637245780443398, min values: 8.0101e-08, max values: 36.932, median values: 0.16263, and quantile values: 0.25 0.041145\n0.50 0.162630\n0.75 0.687960\nName: 9593, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5514115477446542, std values: 5.107639270515318, min values: 8.895e-07, max values: 43.525, median values: 0.21368, and quantile values: 0.25 0.068687\n0.50 0.213680\n0.75 0.882355\nName: 9594, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3726556909132077, std values: 4.819471937449614, min values: 1.7934e-06, max values: 40.273, median values: 0.21973, and quantile values: 0.25 0.055974\n0.50 0.219730\n0.75 0.760545\nName: 9595, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3182637023886792, std values: 4.8075716241591415, min values: 2.5506e-06, max values: 40.483, median values: 0.17715, and quantile values: 0.25 0.062488\n0.50 0.177150\n0.75 0.661225\nName: 9596, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.569495812066761, std values: 4.928319168359211, min values: 2.8215e-08, max values: 40.94, median values: 0.23935, and quantile values: 0.25 0.055807\n0.50 0.239350\n0.75 0.968505\nName: 9597, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6558014683027045, std values: 5.067768645091807, min values: 4.4173e-07, max values: 41.257, median values: 0.28908, and quantile values: 0.25 0.066362\n0.50 0.289080\n0.75 1.100150\nName: 9598, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2725094525138363, std values: 4.683033529284376, min values: 2.1861e-06, max values: 40.354, median values: 0.16452, and quantile values: 0.25 0.057829\n0.50 0.164520\n0.75 0.638275\nName: 9599, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4480002791632702, std values: 4.656733441721721, min values: 6.4676e-07, max values: 37.497, median values: 0.17486, and quantile values: 0.25 0.058445\n0.50 0.174860\n0.75 0.895310\nName: 9600, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5010309619933961, std values: 4.965878823768821, min values: 9.7215e-07, max values: 40.71, median values: 0.19743, and quantile values: 0.25 0.063758\n0.50 0.197430\n0.75 0.921690\nName: 9601, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.458645438627044, std values: 5.182153088507422, min values: 2.3757e-06, max values: 44.228, median values: 0.19328, and quantile values: 0.25 0.058540\n0.50 0.193280\n0.75 0.815775\nName: 9602, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4367207192421383, std values: 4.86253121429772, min values: 2.1979e-06, max values: 39.474, median values: 0.23001, and quantile values: 0.25 0.061685\n0.50 0.230010\n0.75 0.885295\nName: 9603, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5095072922377357, std values: 4.812331446962278, min values: 1.9287e-06, max values: 38.742, median values: 0.24005, and quantile values: 0.25 0.065815\n0.50 0.240050\n0.75 0.965545\nName: 9604, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.303971936165849, std values: 4.685425038197353, min values: 6.0257e-07, max values: 38.701, median values: 0.16089, and quantile values: 0.25 0.053110\n0.50 0.160890\n0.75 0.751595\nName: 9605, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6290690998616353, std values: 5.19367230093487, min values: 2.5575e-06, max values: 41.783, median values: 0.26812, and quantile values: 0.25 0.069240\n0.50 0.268120\n0.75 1.003115\nName: 9606, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3543095296757233, std values: 4.771404861857559, min values: 9.6004e-07, max values: 38.887, median values: 0.18164, and quantile values: 0.25 0.056053\n0.50 0.181640\n0.75 0.777040\nName: 9607, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5184224954030816, std values: 5.012860312615615, min values: 1.9489e-07, max values: 42.513, median values: 0.2372, and quantile values: 0.25 0.062329\n0.50 0.237200\n0.75 0.926180\nName: 9608, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7679368921440253, std values: 5.171722787440741, min values: 5.1603e-06, max values: 39.891, median values: 0.28335, and quantile values: 0.25 0.091114\n0.50 0.283350\n0.75 1.153300\nName: 9609, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5486144317320756, std values: 5.050381409364461, min values: 1.4395e-06, max values: 41.797, median values: 0.25647, and quantile values: 0.25 0.07194\n0.50 0.25647\n0.75 0.96620\nName: 9610, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4102759203471698, std values: 4.880576305635663, min values: 2.3755e-06, max values: 39.709, median values: 0.18534, and quantile values: 0.25 0.061184\n0.50 0.185340\n0.75 0.788085\nName: 9611, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5087469284358492, std values: 5.111874467719031, min values: 4.6466e-06, max values: 41.134, median values: 0.23217, and quantile values: 0.25 0.072316\n0.50 0.232170\n0.75 0.861450\nName: 9612, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5498152224836477, std values: 5.003031966854913, min values: 2.1693e-06, max values: 39.918, median values: 0.23174, and quantile values: 0.25 0.069037\n0.50 0.231740\n0.75 0.990630\nName: 9613, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5506906251685535, std values: 5.059067982243296, min values: 2.843e-06, max values: 40.319, median values: 0.2225, and quantile values: 0.25 0.070221\n0.50 0.222500\n0.75 0.968325\nName: 9614, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4645376500591196, std values: 4.968552309802676, min values: 1.1858e-06, max values: 40.411, median values: 0.21393, and quantile values: 0.25 0.060705\n0.50 0.213930\n0.75 0.843690\nName: 9615, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5808630910846542, std values: 5.017572906382297, min values: 4.4406e-07, max values: 41.914, median values: 0.22132, and quantile values: 0.25 0.061918\n0.50 0.221320\n0.75 0.981910\nName: 9616, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5875586417490564, std values: 4.962156428420508, min values: 3.8901e-06, max values: 39.861, median values: 0.23551, and quantile values: 0.25 0.078162\n0.50 0.235510\n0.75 1.008445\nName: 9617, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5614918538735851, std values: 4.873732533215937, min values: 1.7515e-06, max values: 38.205, median values: 0.24714, and quantile values: 0.25 0.067871\n0.50 0.247140\n0.75 0.927205\nName: 9618, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.329793891444025, std values: 4.74729499733589, min values: 1.9182e-06, max values: 39.786, median values: 0.19233, and quantile values: 0.25 0.047533\n0.50 0.192330\n0.75 0.769515\nName: 9619, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7011888757150946, std values: 5.141966406481688, min values: 4.4187e-06, max values: 40.731, median values: 0.27719, and quantile values: 0.25 0.074213\n0.50 0.277190\n0.75 1.115500\nName: 9620, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2772563104603774, std values: 4.682868951565771, min values: 8.547e-07, max values: 37.831, median values: 0.16209, and quantile values: 0.25 0.055433\n0.50 0.162090\n0.75 0.690160\nName: 9621, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3902884661654087, std values: 5.017739810499872, min values: 2.6576e-06, max values: 40.416, median values: 0.19649, and quantile values: 0.25 0.055288\n0.50 0.196490\n0.75 0.732695\nName: 9622, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6033765786802514, std values: 4.764878987579415, min values: 4.7416e-07, max values: 37.089, median values: 0.29917, and quantile values: 0.25 0.073153\n0.50 0.299170\n0.75 1.117550\nName: 9623, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.567714659055975, std values: 5.245751050748334, min values: 1.1842e-06, max values: 45.446, median values: 0.26175, and quantile values: 0.25 0.065010\n0.50 0.261750\n0.75 0.871765\nName: 9624, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6521321967792453, std values: 5.215361890118968, min values: 3.1526e-06, max values: 42.978, median values: 0.25278, and quantile values: 0.25 0.078821\n0.50 0.252780\n0.75 1.056300\nName: 9625, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5009102010959747, std values: 5.018606280508897, min values: 5.7796e-07, max values: 41.778, median values: 0.22582, and quantile values: 0.25 0.059504\n0.50 0.225820\n0.75 0.906710\nName: 9626, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3454607575383646, std values: 4.796071586429422, min values: 5.598e-07, max values: 38.456, median values: 0.19102, and quantile values: 0.25 0.05337\n0.50 0.19102\n0.75 0.79094\nName: 9627, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2925098351444027, std values: 4.660891365430385, min values: 7.7166e-07, max values: 38.103, median values: 0.18783, and quantile values: 0.25 0.056328\n0.50 0.187830\n0.75 0.732305\nName: 9628, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5518566217465408, std values: 4.998913989106449, min values: 1.8216e-06, max values: 39.584, median values: 0.24657, and quantile values: 0.25 0.066692\n0.50 0.246570\n0.75 0.956910\nName: 9629, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4245752877779874, std values: 4.756111978618515, min values: 1.578e-06, max values: 38.549, median values: 0.22436, and quantile values: 0.25 0.067243\n0.50 0.224360\n0.75 0.841875\nName: 9630, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5600853325773583, std values: 4.848218630186993, min values: 2.4807e-06, max values: 39.091, median values: 0.24437, and quantile values: 0.25 0.069331\n0.50 0.244370\n0.75 0.984890\nName: 9631, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4558544445442139, std values: 4.955878083285995, min values: 7.4573e-07, max values: 41.201, median values: 0.22784, and quantile values: 0.25 0.062138\n0.50 0.227840\n0.75 0.843120\nName: 9632, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2577404429572328, std values: 4.710886000555737, min values: 1.3311e-06, max values: 39.424, median values: 0.18113, and quantile values: 0.25 0.050728\n0.50 0.181130\n0.75 0.662145\nName: 9633, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4437401835496853, std values: 4.81504868983725, min values: 2.9156e-06, max values: 39.464, median values: 0.21301, and quantile values: 0.25 0.072663\n0.50 0.213010\n0.75 0.883580\nName: 9634, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7304656278584907, std values: 5.369665944252496, min values: 3.235e-06, max values: 44.379, median values: 0.32152, and quantile values: 0.25 0.086026\n0.50 0.321520\n0.75 1.095350\nName: 9635, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.546625198396855, std values: 4.969703057969271, min values: 3.061e-06, max values: 40.261, median values: 0.22515, and quantile values: 0.25 0.067657\n0.50 0.225150\n0.75 0.962400\nName: 9636, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.575494689053044, std values: 4.945503693854331, min values: 8.9564e-08, max values: 40.658, median values: 0.23445, and quantile values: 0.25 0.059913\n0.50 0.234450\n0.75 1.002345\nName: 9637, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3383250084034592, std values: 4.733542531418497, min values: 9.8335e-07, max values: 37.726, median values: 0.17563, and quantile values: 0.25 0.055843\n0.50 0.175630\n0.75 0.768850\nName: 9638, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2743768932018869, std values: 4.806431449177757, min values: 2.2741e-06, max values: 39.746, median values: 0.16183, and quantile values: 0.25 0.051281\n0.50 0.161830\n0.75 0.655285\nName: 9639, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7377250998652831, std values: 5.297914454562458, min values: 9.3128e-07, max values: 44.757, median values: 0.27516, and quantile values: 0.25 0.068668\n0.50 0.275160\n0.75 1.131350\nName: 9640, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4648946154632076, std values: 4.974992215451025, min values: 8.4575e-07, max values: 40.934, median values: 0.23489, and quantile values: 0.25 0.051603\n0.50 0.234890\n0.75 0.876950\nName: 9641, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.451928662315283, std values: 4.734935473846864, min values: 2.0213e-07, max values: 37.561, median values: 0.20427, and quantile values: 0.25 0.051306\n0.50 0.204270\n0.75 0.846770\nName: 9642, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.489880810948805, std values: 4.822754674690999, min values: 9.9686e-07, max values: 38.511, median values: 0.22748, and quantile values: 0.25 0.062792\n0.50 0.227480\n0.75 0.960540\nName: 9643, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4436142163403836, std values: 4.820447095827761, min values: 2.0811e-08, max values: 39.363, median values: 0.20967, and quantile values: 0.25 0.049952\n0.50 0.209670\n0.75 0.836995\nName: 9644, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.441286042979937, std values: 4.975376244825107, min values: 4.8851e-07, max values: 41.552, median values: 0.1945, and quantile values: 0.25 0.057352\n0.50 0.194500\n0.75 0.822730\nName: 9645, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4655802755559748, std values: 4.892490513761214, min values: 1.3626e-06, max values: 39.183, median values: 0.25287, and quantile values: 0.25 0.067254\n0.50 0.252870\n0.75 0.850655\nName: 9646, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5984346908113207, std values: 5.110338338851941, min values: 1.1774e-06, max values: 42.236, median values: 0.24774, and quantile values: 0.25 0.075374\n0.50 0.247740\n0.75 1.032850\nName: 9647, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.268057628067711, std values: 4.674676333029451, min values: 2.1116e-08, max values: 37.367, median values: 0.17255, and quantile values: 0.25 0.043188\n0.50 0.172550\n0.75 0.659700\nName: 9648, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6438490120490565, std values: 4.965893450279823, min values: 3.2382e-06, max values: 39.31, median values: 0.28127, and quantile values: 0.25 0.086502\n0.50 0.281270\n0.75 1.096000\nName: 9649, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.571574318453459, std values: 5.086721067052247, min values: 2.7077e-06, max values: 41.045, median values: 0.24353, and quantile values: 0.25 0.061804\n0.50 0.243530\n0.75 1.013905\nName: 9650, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7768997624113205, std values: 6.004787584996297, min values: 1.3139e-06, max values: 57.746, median values: 0.25611, and quantile values: 0.25 0.068806\n0.50 0.256110\n0.75 1.130300\nName: 9651, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6974582275855346, std values: 5.133542514766283, min values: 1.3416e-06, max values: 41.4, median values: 0.29006, and quantile values: 0.25 0.076208\n0.50 0.290060\n0.75 1.210400\nName: 9652, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6296627063703144, std values: 5.1008452496449594, min values: 8.0578e-07, max values: 42.808, median values: 0.2978, and quantile values: 0.25 0.070762\n0.50 0.297800\n0.75 1.080500\nName: 9653, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5657425313163522, std values: 5.032706394827555, min values: 1.4364e-06, max values: 41.345, median values: 0.26265, and quantile values: 0.25 0.069585\n0.50 0.262650\n0.75 1.004550\nName: 9654, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5558295454698114, std values: 5.319984487424105, min values: 6.1986e-06, max values: 43.36, median values: 0.23498, and quantile values: 0.25 0.061361\n0.50 0.234980\n0.75 0.861145\nName: 9655, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4276944687077988, std values: 5.120205997614935, min values: 1.8294e-07, max values: 45.123, median values: 0.18202, and quantile values: 0.25 0.051985\n0.50 0.182020\n0.75 0.783820\nName: 9656, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5329018917754715, std values: 4.953985703992105, min values: 1.3789e-06, max values: 39.234, median values: 0.2358, and quantile values: 0.25 0.064694\n0.50 0.235800\n0.75 0.953225\nName: 9657, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6914728732459117, std values: 5.13734801182923, min values: 4.4393e-06, max values: 40.204, median values: 0.29156, and quantile values: 0.25 0.084318\n0.50 0.291560\n0.75 1.076950\nName: 9658, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5633208001792454, std values: 5.129711343235854, min values: 5.3827e-06, max values: 40.883, median values: 0.25196, and quantile values: 0.25 0.067545\n0.50 0.251960\n0.75 0.907010\nName: 9659, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5303101203883647, std values: 5.109829376856801, min values: 5.6455e-07, max values: 43.037, median values: 0.21536, and quantile values: 0.25 0.059120\n0.50 0.215360\n0.75 0.975065\nName: 9660, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5612970385515723, std values: 4.999736778002798, min values: 3.5878e-06, max values: 39.662, median values: 0.24326, and quantile values: 0.25 0.064223\n0.50 0.243260\n0.75 0.932785\nName: 9661, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.70903245562956, std values: 5.401503005368383, min values: 1.317e-06, max values: 43.245, median values: 0.2263, and quantile values: 0.25 0.060429\n0.50 0.226300\n0.75 1.005520\nName: 9662, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5015840715220128, std values: 4.905212552714147, min values: 1.0418e-06, max values: 39.132, median values: 0.21264, and quantile values: 0.25 0.062969\n0.50 0.212640\n0.75 0.915830\nName: 9663, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4332621837026542, std values: 4.796781483854964, min values: 3.3322e-08, max values: 38.865, median values: 0.24824, and quantile values: 0.25 0.058543\n0.50 0.248240\n0.75 0.899490\nName: 9664, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3936130748434592, std values: 4.508051904188195, min values: 6.2691e-07, max values: 37.233, median values: 0.22141, and quantile values: 0.25 0.06648\n0.50 0.22141\n0.75 0.81127\nName: 9665, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.375412990622994, std values: 4.833151811319557, min values: 1.7356e-08, max values: 39.762, median values: 0.17287, and quantile values: 0.25 0.047231\n0.50 0.172870\n0.75 0.810775\nName: 9666, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.598002618684654, std values: 4.799228386505399, min values: 7.3436e-07, max values: 38.907, median values: 0.259, and quantile values: 0.25 0.071218\n0.50 0.259000\n0.75 1.095600\nName: 9667, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3194998029845912, std values: 4.946032745283967, min values: 6.0135e-07, max values: 42.753, median values: 0.16655, and quantile values: 0.25 0.057154\n0.50 0.166550\n0.75 0.733515\nName: 9668, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2699978344579244, std values: 4.586557146390237, min values: 1.1141e-07, max values: 36.917, median values: 0.13058, and quantile values: 0.25 0.033570\n0.50 0.130580\n0.75 0.628855\nName: 9669, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8516201075817609, std values: 5.477639853752653, min values: 4.3888e-06, max values: 44.949, median values: 0.34036, and quantile values: 0.25 0.08395\n0.50 0.34036\n0.75 1.18515\nName: 9670, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3599280896830186, std values: 5.022025787684878, min values: 3.4456e-06, max values: 40.77, median values: 0.1888, and quantile values: 0.25 0.061279\n0.50 0.188800\n0.75 0.720575\nName: 9671, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6443861299880502, std values: 5.153688519771042, min values: 3.9464e-06, max values: 40.91, median values: 0.26086, and quantile values: 0.25 0.081314\n0.50 0.260860\n0.75 1.005255\nName: 9672, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3838695922081763, std values: 4.8330720482659695, min values: 2.584e-06, max values: 39.651, median values: 0.20567, and quantile values: 0.25 0.051197\n0.50 0.205670\n0.75 0.752270\nName: 9673, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5017897892081762, std values: 5.077762375770343, min values: 2.9112e-06, max values: 41.389, median values: 0.21216, and quantile values: 0.25 0.063038\n0.50 0.212160\n0.75 0.854670\nName: 9674, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5633860544949685, std values: 4.933111686698672, min values: 3.5349e-06, max values: 40.038, median values: 0.2724, and quantile values: 0.25 0.074208\n0.50 0.272400\n0.75 0.966120\nName: 9675, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4681648241792453, std values: 4.874162601889654, min values: 1.6846e-06, max values: 38.71, median values: 0.21127, and quantile values: 0.25 0.062222\n0.50 0.211270\n0.75 0.869190\nName: 9676, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7757338116610062, std values: 5.210061298706547, min values: 3.018e-06, max values: 41.234, median values: 0.30721, and quantile values: 0.25 0.080395\n0.50 0.307210\n0.75 1.182300\nName: 9677, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3445612612410065, std values: 4.996286846689259, min values: 7.3272e-07, max values: 42.431, median values: 0.15755, and quantile values: 0.25 0.053674\n0.50 0.157550\n0.75 0.714360\nName: 9678, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4315785718094338, std values: 4.880098637215393, min values: 1.9845e-06, max values: 39.175, median values: 0.20935, and quantile values: 0.25 0.064372\n0.50 0.209350\n0.75 0.839505\nName: 9679, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5778312629054716, std values: 4.930689513429979, min values: 4.8937e-07, max values: 38.83, median values: 0.2242, and quantile values: 0.25 0.061318\n0.50 0.224200\n0.75 1.087700\nName: 9680, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5802929122144653, std values: 5.260292382329357, min values: 1.9091e-06, max values: 44.692, median values: 0.22384, and quantile values: 0.25 0.067322\n0.50 0.223840\n0.75 0.996470\nName: 9681, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5808677514301888, std values: 5.3591830556829345, min values: 1.2062e-06, max values: 47.385, median values: 0.22472, and quantile values: 0.25 0.065596\n0.50 0.224720\n0.75 0.976855\nName: 9682, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6020142459823898, std values: 4.810111066363164, min values: 1.157e-06, max values: 38.462, median values: 0.2777, and quantile values: 0.25 0.079851\n0.50 0.277700\n0.75 1.052150\nName: 9683, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3024008371043396, std values: 4.792870856434255, min values: 5.3279e-07, max values: 38.488, median values: 0.18008, and quantile values: 0.25 0.047671\n0.50 0.180080\n0.75 0.687770\nName: 9684, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.701417250369371, std values: 4.959777428115962, min values: 7.1313e-07, max values: 38.851, median values: 0.32035, and quantile values: 0.25 0.080778\n0.50 0.320350\n0.75 1.207300\nName: 9685, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4407956473140882, std values: 4.833029304744484, min values: 8.7804e-07, max values: 38.973, median values: 0.22382, and quantile values: 0.25 0.063161\n0.50 0.223820\n0.75 0.866675\nName: 9686, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5148249690861637, std values: 4.84277922540813, min values: 4.434e-06, max values: 39.941, median values: 0.24199, and quantile values: 0.25 0.075398\n0.50 0.241990\n0.75 0.888700\nName: 9687, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5197897593520127, std values: 5.091025264474623, min values: 1.7067e-07, max values: 43.78, median values: 0.20919, and quantile values: 0.25 0.060434\n0.50 0.209190\n0.75 0.901660\nName: 9688, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4558873391120881, std values: 4.646366348464164, min values: 1.8032e-08, max values: 37.392, median values: 0.21022, and quantile values: 0.25 0.049704\n0.50 0.210220\n0.75 1.008320\nName: 9689, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4427627455789307, std values: 4.579731572828275, min values: 1.2332e-07, max values: 36.928, median values: 0.20543, and quantile values: 0.25 0.052819\n0.50 0.205430\n0.75 0.943355\nName: 9690, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2828396192886793, std values: 5.084031785541022, min values: 3.3826e-06, max values: 41.712, median values: 0.1396, and quantile values: 0.25 0.037854\n0.50 0.139600\n0.75 0.551165\nName: 9691, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4525720124515724, std values: 4.880497541450111, min values: 3.5667e-06, max values: 39.987, median values: 0.24805, and quantile values: 0.25 0.071308\n0.50 0.248050\n0.75 0.890395\nName: 9692, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.799782123290566, std values: 5.28641724390635, min values: 3.2182e-06, max values: 42.406, median values: 0.30529, and quantile values: 0.25 0.084604\n0.50 0.305290\n0.75 1.261000\nName: 9693, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7063503824583648, std values: 5.231454315739176, min values: 6.7798e-07, max values: 44.552, median values: 0.2815, and quantile values: 0.25 0.078942\n0.50 0.281500\n0.75 1.167500\nName: 9694, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.742818974807547, std values: 5.1763837407182445, min values: 2.3764e-06, max values: 42.215, median values: 0.29674, and quantile values: 0.25 0.072831\n0.50 0.296740\n0.75 1.207050\nName: 9695, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6385699310028303, std values: 5.007286297040348, min values: 6.0305e-07, max values: 40.39, median values: 0.29476, and quantile values: 0.25 0.072882\n0.50 0.294760\n0.75 1.123950\nName: 9696, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4717341009254528, std values: 4.796259530458466, min values: 1.6647e-08, max values: 38.243, median values: 0.20117, and quantile values: 0.25 0.050344\n0.50 0.201170\n0.75 0.859030\nName: 9697, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5339094016522012, std values: 5.1317878134507176, min values: 1.2735e-06, max values: 43.161, median values: 0.23798, and quantile values: 0.25 0.056123\n0.50 0.237980\n0.75 0.907780\nName: 9698, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3075718254252828, std values: 4.624480447057398, min values: 7.3332e-07, max values: 39.724, median values: 0.17199, and quantile values: 0.25 0.047684\n0.50 0.171990\n0.75 0.740360\nName: 9699, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.657792911093019, std values: 5.1044396907206355, min values: 9.2529e-07, max values: 41.703, median values: 0.28272, and quantile values: 0.25 0.073491\n0.50 0.282720\n0.75 1.135600\nName: 9700, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.349285950679497, std values: 4.795613176032523, min values: 5.8494e-07, max values: 38.648, median values: 0.19362, and quantile values: 0.25 0.051329\n0.50 0.193620\n0.75 0.747935\nName: 9701, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4510355289150942, std values: 4.793182404038371, min values: 1.6544e-06, max values: 39.788, median values: 0.21085, and quantile values: 0.25 0.062072\n0.50 0.210850\n0.75 0.890370\nName: 9702, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6457868687062895, std values: 5.4669163063853805, min values: 3.3926e-06, max values: 47.956, median values: 0.28904, and quantile values: 0.25 0.074113\n0.50 0.289040\n0.75 0.958525\nName: 9703, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3728550608437737, std values: 4.80669871852635, min values: 1.6491e-07, max values: 39.565, median values: 0.20251, and quantile values: 0.25 0.057880\n0.50 0.202510\n0.75 0.831635\nName: 9704, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4338831653685533, std values: 5.160121999407461, min values: 6.823e-07, max values: 45.563, median values: 0.2126, and quantile values: 0.25 0.060722\n0.50 0.212600\n0.75 0.792060\nName: 9705, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5709562101591195, std values: 4.823628813952131, min values: 2.5968e-06, max values: 39.407, median values: 0.24116, and quantile values: 0.25 0.067359\n0.50 0.241160\n0.75 1.054650\nName: 9706, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5045918100053457, std values: 4.984509443723518, min values: 6.8795e-07, max values: 41.143, median values: 0.1998, and quantile values: 0.25 0.056101\n0.50 0.199800\n0.75 0.850165\nName: 9707, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4987568314238364, std values: 4.960240016881631, min values: 1.4779e-07, max values: 41.302, median values: 0.21398, and quantile values: 0.25 0.062407\n0.50 0.213980\n0.75 0.966040\nName: 9708, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4407431736955976, std values: 4.754045432714659, min values: 1.4081e-06, max values: 38.323, median values: 0.24195, and quantile values: 0.25 0.069437\n0.50 0.241950\n0.75 0.837955\nName: 9709, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.397839509252138, std values: 4.460568486883741, min values: 4.0889e-07, max values: 37.547, median values: 0.21795, and quantile values: 0.25 0.052933\n0.50 0.217950\n0.75 0.914290\nName: 9710, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.300153749129415, std values: 4.728950105261277, min values: 1.646e-08, max values: 40.189, median values: 0.14692, and quantile values: 0.25 0.032865\n0.50 0.146920\n0.75 0.656505\nName: 9711, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4757804314338367, std values: 4.815038465926162, min values: 1.423e-07, max values: 39.04, median values: 0.2007, and quantile values: 0.25 0.054498\n0.50 0.200700\n0.75 0.860100\nName: 9712, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.582242884936478, std values: 5.217222868325013, min values: 1.7447e-06, max values: 43.962, median values: 0.24667, and quantile values: 0.25 0.06658\n0.50 0.24667\n0.75 0.95377\nName: 9713, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6400835349578617, std values: 5.629673216627244, min values: 2.2273e-06, max values: 51.493, median values: 0.26287, and quantile values: 0.25 0.065376\n0.50 0.262870\n0.75 0.940525\nName: 9714, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8422862936566036, std values: 5.39118865288926, min values: 6.5037e-06, max values: 43.315, median values: 0.31052, and quantile values: 0.25 0.096868\n0.50 0.310520\n0.75 1.239800\nName: 9715, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4955738409295598, std values: 4.99178980419769, min values: 1.4126e-06, max values: 41.368, median values: 0.21135, and quantile values: 0.25 0.063254\n0.50 0.211350\n0.75 0.901950\nName: 9716, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5802517926591197, std values: 5.131215662068988, min values: 3.6257e-06, max values: 41.16, median values: 0.22659, and quantile values: 0.25 0.073652\n0.50 0.226590\n0.75 0.965235\nName: 9717, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.407019014947107, std values: 4.598864558423767, min values: 1.0188e-08, max values: 36.388, median values: 0.16877, and quantile values: 0.25 0.036882\n0.50 0.168770\n0.75 0.793835\nName: 9718, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3385418513672325, std values: 4.98587237334706, min values: 3.4279e-07, max values: 42.858, median values: 0.18805, and quantile values: 0.25 0.051731\n0.50 0.188050\n0.75 0.709030\nName: 9719, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.306354369560522, std values: 4.763149406826958, min values: 2.4063e-08, max values: 39.858, median values: 0.15884, and quantile values: 0.25 0.041389\n0.50 0.158840\n0.75 0.670180\nName: 9720, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5202186407018867, std values: 4.96784739560137, min values: 3.1551e-06, max values: 39.749, median values: 0.26477, and quantile values: 0.25 0.074861\n0.50 0.264770\n0.75 0.958995\nName: 9721, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4669158771471698, std values: 4.953017982990633, min values: 1.0466e-06, max values: 40.607, median values: 0.2005, and quantile values: 0.25 0.063097\n0.50 0.200500\n0.75 0.887235\nName: 9722, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.416415918781132, std values: 5.140913953929489, min values: 1.7748e-06, max values: 43.305, median values: 0.20228, and quantile values: 0.25 0.052125\n0.50 0.202280\n0.75 0.854695\nName: 9723, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2968093646137233, std values: 4.841049518451211, min values: 2.4322e-08, max values: 41.435, median values: 0.1581, and quantile values: 0.25 0.035773\n0.50 0.158100\n0.75 0.618160\nName: 9724, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4502227929782012, std values: 4.825058995433322, min values: 4.8014e-08, max values: 39.867, median values: 0.19362, and quantile values: 0.25 0.049894\n0.50 0.193620\n0.75 0.847190\nName: 9725, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5153947737213835, std values: 5.098423562000841, min values: 4.0348e-06, max values: 40.773, median values: 0.21822, and quantile values: 0.25 0.069793\n0.50 0.218220\n0.75 0.868090\nName: 9726, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.398678206986635, std values: 4.863639186576304, min values: 2.8745e-08, max values: 41.272, median values: 0.17857, and quantile values: 0.25 0.042190\n0.50 0.178570\n0.75 0.810735\nName: 9727, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.372793057022956, std values: 4.935078589393974, min values: 3.785e-08, max values: 41.601, median values: 0.14419, and quantile values: 0.25 0.038597\n0.50 0.144190\n0.75 0.718305\nName: 9728, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7681107159852327, std values: 5.137982319027649, min values: 3.8512e-08, max values: 42.704, median values: 0.26811, and quantile values: 0.25 0.072695\n0.50 0.268110\n0.75 1.282350\nName: 9729, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6071264632132076, std values: 5.0403979023044965, min values: 1.9882e-06, max values: 40.781, median values: 0.28096, and quantile values: 0.25 0.081332\n0.50 0.280960\n0.75 1.053450\nName: 9730, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6939531842459121, std values: 5.227552815496786, min values: 2.9486e-06, max values: 43.061, median values: 0.2961, and quantile values: 0.25 0.081335\n0.50 0.296100\n0.75 1.072300\nName: 9731, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3044393514031445, std values: 4.606027117623664, min values: 1.6473e-06, max values: 38.698, median values: 0.18485, and quantile values: 0.25 0.058735\n0.50 0.184850\n0.75 0.747885\nName: 9732, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6049913680962264, std values: 5.110461009767257, min values: 2.5897e-06, max values: 41.49, median values: 0.25975, and quantile values: 0.25 0.064497\n0.50 0.259750\n0.75 1.045750\nName: 9733, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2269790706727672, std values: 4.815702448712812, min values: 9.5807e-07, max values: 39.676, median values: 0.13992, and quantile values: 0.25 0.042391\n0.50 0.139920\n0.75 0.599540\nName: 9734, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4494422842471697, std values: 4.877576601119712, min values: 1.5483e-06, max values: 38.856, median values: 0.24155, and quantile values: 0.25 0.065660\n0.50 0.241550\n0.75 0.905505\nName: 9735, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6079449303896542, std values: 4.970227820915169, min values: 3.9725e-08, max values: 40.863, median values: 0.21417, and quantile values: 0.25 0.048208\n0.50 0.214170\n0.75 0.930880\nName: 9736, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4474106803937108, std values: 4.871125930816155, min values: 2.5774e-06, max values: 40.145, median values: 0.20038, and quantile values: 0.25 0.065892\n0.50 0.200380\n0.75 0.846715\nName: 9737, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.636251565864151, std values: 5.000452985195323, min values: 3.336e-07, max values: 40.876, median values: 0.24706, and quantile values: 0.25 0.061162\n0.50 0.247060\n0.75 1.114250\nName: 9738, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.556877229873585, std values: 4.980622212371708, min values: 4.244e-07, max values: 40.585, median values: 0.21528, and quantile values: 0.25 0.057891\n0.50 0.215280\n0.75 0.994925\nName: 9739, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5911261583075471, std values: 5.0344469543332675, min values: 3.7054e-06, max values: 39.877, median values: 0.24092, and quantile values: 0.25 0.073112\n0.50 0.240920\n0.75 0.987230\nName: 9740, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.483778801788679, std values: 4.764872782951295, min values: 1.3974e-06, max values: 38.619, median values: 0.2315, and quantile values: 0.25 0.060818\n0.50 0.231500\n0.75 0.945640\nName: 9741, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3980412640113207, std values: 4.619532206596619, min values: 3.9641e-06, max values: 39.833, median values: 0.22478, and quantile values: 0.25 0.063008\n0.50 0.224780\n0.75 0.804090\nName: 9742, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4500204721144656, std values: 4.858361852937254, min values: 3.036e-06, max values: 39.953, median values: 0.20849, and quantile values: 0.25 0.062974\n0.50 0.208490\n0.75 0.843075\nName: 9743, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3701317675389935, std values: 4.618685784598585, min values: 1.3483e-06, max values: 38.464, median values: 0.18956, and quantile values: 0.25 0.057853\n0.50 0.189560\n0.75 0.820705\nName: 9744, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4453685062549055, std values: 4.992549935560278, min values: 7.1933e-07, max values: 41.771, median values: 0.22356, and quantile values: 0.25 0.062687\n0.50 0.223560\n0.75 0.796090\nName: 9745, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6257476961704402, std values: 4.992776343224769, min values: 2.0313e-06, max values: 39.867, median values: 0.25339, and quantile values: 0.25 0.073862\n0.50 0.253390\n0.75 1.081200\nName: 9746, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4650986313281762, std values: 5.209643561194038, min values: 3.7948e-07, max values: 46.981, median values: 0.19174, and quantile values: 0.25 0.052007\n0.50 0.191740\n0.75 0.836785\nName: 9747, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5809853822125788, std values: 4.994248421236494, min values: 2.1961e-06, max values: 39.704, median values: 0.2669, and quantile values: 0.25 0.068748\n0.50 0.266900\n0.75 1.076150\nName: 9748, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5582862700993712, std values: 4.796960728347342, min values: 1.7309e-06, max values: 38.282, median values: 0.27471, and quantile values: 0.25 0.077162\n0.50 0.274710\n0.75 1.023900\nName: 9749, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.456550481899937, std values: 4.973530339351452, min values: 1.9739e-07, max values: 41.288, median values: 0.19844, and quantile values: 0.25 0.049915\n0.50 0.198440\n0.75 0.853730\nName: 9750, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5978634973754715, std values: 5.018678534913449, min values: 1.0703e-06, max values: 40.575, median values: 0.28144, and quantile values: 0.25 0.074307\n0.50 0.281440\n0.75 1.052050\nName: 9751, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.428277860539623, std values: 4.812225958421104, min values: 1.2786e-06, max values: 38.708, median values: 0.22249, and quantile values: 0.25 0.068048\n0.50 0.222490\n0.75 0.946215\nName: 9752, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5958609807559747, std values: 4.820521358661475, min values: 2.0018e-06, max values: 38.27, median values: 0.26208, and quantile values: 0.25 0.071574\n0.50 0.262080\n0.75 1.061100\nName: 9753, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.505356399899371, std values: 5.01417291321257, min values: 1.501e-06, max values: 40.314, median values: 0.22948, and quantile values: 0.25 0.062208\n0.50 0.229480\n0.75 0.882995\nName: 9754, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4373424365974843, std values: 4.7104849465314595, min values: 1.5811e-06, max values: 39.124, median values: 0.22448, and quantile values: 0.25 0.061106\n0.50 0.224480\n0.75 0.931180\nName: 9755, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5032510173955975, std values: 4.881186957646004, min values: 2.0935e-06, max values: 38.997, median values: 0.28007, and quantile values: 0.25 0.065681\n0.50 0.280070\n0.75 0.956030\nName: 9756, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.56749547638239, std values: 5.0032786538269125, min values: 2.703e-06, max values: 39.891, median values: 0.26956, and quantile values: 0.25 0.076659\n0.50 0.269560\n0.75 0.968405\nName: 9757, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2349472098819496, std values: 4.603201341943648, min values: 6.3183e-07, max values: 37.569, median values: 0.13601, and quantile values: 0.25 0.043779\n0.50 0.136010\n0.75 0.628730\nName: 9758, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.344787273733333, std values: 4.793755251841782, min values: 1.4903e-06, max values: 38.846, median values: 0.1912, and quantile values: 0.25 0.053887\n0.50 0.191200\n0.75 0.776640\nName: 9759, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8672520410288682, std values: 5.519920886686006, min values: 1.2359e-07, max values: 49.374, median values: 0.29709, and quantile values: 0.25 0.072406\n0.50 0.297090\n0.75 1.268550\nName: 9760, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.372524500591195, std values: 4.9321967159139986, min values: 1.7493e-06, max values: 39.843, median values: 0.17889, and quantile values: 0.25 0.055577\n0.50 0.178890\n0.75 0.745090\nName: 9761, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4874012736262265, std values: 4.740266221612449, min values: 5.9207e-07, max values: 37.539, median values: 0.22841, and quantile values: 0.25 0.067908\n0.50 0.228410\n0.75 0.965720\nName: 9762, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5324751803650942, std values: 4.978494161776659, min values: 2.0395e-07, max values: 41.161, median values: 0.19196, and quantile values: 0.25 0.055342\n0.50 0.191960\n0.75 0.893915\nName: 9763, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2516655547433964, std values: 4.702871198451739, min values: 4.5095e-06, max values: 40.73, median values: 0.15066, and quantile values: 0.25 0.056068\n0.50 0.150660\n0.75 0.600520\nName: 9764, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4581861972187422, std values: 4.826998123302921, min values: 3.0078e-07, max values: 38.306, median values: 0.2289, and quantile values: 0.25 0.059035\n0.50 0.228900\n0.75 0.882030\nName: 9765, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3359709565956412, std values: 4.871477338092659, min values: 2.8407e-08, max values: 41.33, median values: 0.19332, and quantile values: 0.25 0.056538\n0.50 0.193320\n0.75 0.752705\nName: 9766, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5400039591377357, std values: 4.889978454143525, min values: 1.0895e-06, max values: 38.701, median values: 0.24315, and quantile values: 0.25 0.069043\n0.50 0.243150\n0.75 0.986605\nName: 9767, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.434688079720126, std values: 5.135464941114449, min values: 2.7718e-06, max values: 42.108, median values: 0.21851, and quantile values: 0.25 0.061788\n0.50 0.218510\n0.75 0.730060\nName: 9768, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6398362904327675, std values: 5.0968010918276265, min values: 3.3551e-07, max values: 43.597, median values: 0.2408, and quantile values: 0.25 0.065299\n0.50 0.240800\n0.75 0.979915\nName: 9769, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.639132773562893, std values: 5.076967425616128, min values: 1.1493e-06, max values: 40.894, median values: 0.24641, and quantile values: 0.25 0.069929\n0.50 0.246410\n0.75 1.030335\nName: 9770, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3305816787855347, std values: 4.597847767013934, min values: 1.0256e-06, max values: 38.112, median values: 0.2141, and quantile values: 0.25 0.061782\n0.50 0.214100\n0.75 0.748650\nName: 9771, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.462183002925786, std values: 4.675276072569314, min values: 2.2291e-06, max values: 38.765, median values: 0.22434, and quantile values: 0.25 0.067260\n0.50 0.224340\n0.75 0.867485\nName: 9772, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.49478633556478, std values: 4.731389502528522, min values: 3.121e-07, max values: 37.47, median values: 0.21177, and quantile values: 0.25 0.060284\n0.50 0.211770\n0.75 0.983900\nName: 9773, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4132226649798743, std values: 4.902947658118315, min values: 8.825e-07, max values: 40.728, median values: 0.19467, and quantile values: 0.25 0.057924\n0.50 0.194670\n0.75 0.841150\nName: 9774, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6485251849022013, std values: 4.817902686133943, min values: 9.9875e-07, max values: 38.506, median values: 0.26607, and quantile values: 0.25 0.070962\n0.50 0.266070\n0.75 1.132100\nName: 9775, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4474278576798743, std values: 5.034762978094992, min values: 3.4637e-06, max values: 40.469, median values: 0.2074, and quantile values: 0.25 0.073408\n0.50 0.207400\n0.75 0.775385\nName: 9776, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4134298973120756, std values: 4.943260480530465, min values: 5.1172e-07, max values: 41.503, median values: 0.21224, and quantile values: 0.25 0.058376\n0.50 0.212240\n0.75 0.797030\nName: 9777, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6828421571628933, std values: 5.155301611587157, min values: 1.7909e-06, max values: 41.714, median values: 0.24938, and quantile values: 0.25 0.075515\n0.50 0.249380\n0.75 1.148550\nName: 9778, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5416111839449684, std values: 5.020528640117446, min values: 1.1372e-07, max values: 42.912, median values: 0.23818, and quantile values: 0.25 0.05841\n0.50 0.23818\n0.75 0.90372\nName: 9779, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.851180782990566, std values: 5.062146881444194, min values: 3.1756e-06, max values: 39.572, median values: 0.332, and quantile values: 0.25 0.102531\n0.50 0.332000\n0.75 1.299100\nName: 9780, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5282815295666667, std values: 4.825539508605139, min values: 1.2396e-06, max values: 38.089, median values: 0.22601, and quantile values: 0.25 0.069797\n0.50 0.226010\n0.75 0.983305\nName: 9781, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3163002458264152, std values: 4.71247694753618, min values: 1.0158e-06, max values: 38.658, median values: 0.17466, and quantile values: 0.25 0.053529\n0.50 0.174660\n0.75 0.715515\nName: 9782, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6060181460666667, std values: 5.069298520434835, min values: 4.8749e-06, max values: 40.737, median values: 0.24646, and quantile values: 0.25 0.075309\n0.50 0.246460\n0.75 0.983540\nName: 9783, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5601519996105029, std values: 5.056784300246527, min values: 2.917e-08, max values: 42.293, median values: 0.20158, and quantile values: 0.25 0.054919\n0.50 0.201580\n0.75 0.969215\nName: 9784, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.757220765640881, std values: 5.170305830090702, min values: 3.9416e-06, max values: 40.475, median values: 0.2813, and quantile values: 0.25 0.089729\n0.50 0.281300\n0.75 1.142700\nName: 9785, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3848724126597483, std values: 4.840860477208383, min values: 5.1402e-06, max values: 40.852, median values: 0.20665, and quantile values: 0.25 0.058793\n0.50 0.206650\n0.75 0.716620\nName: 9786, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3862799010710694, std values: 5.001867328457861, min values: 4.1267e-06, max values: 41.161, median values: 0.19121, and quantile values: 0.25 0.062699\n0.50 0.191210\n0.75 0.666655\nName: 9787, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2771974201779246, std values: 4.822320070135987, min values: 9.1669e-07, max values: 39.249, median values: 0.14304, and quantile values: 0.25 0.049591\n0.50 0.143040\n0.75 0.716645\nName: 9788, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4610491180773586, std values: 5.078846665846894, min values: 1.3464e-06, max values: 42.856, median values: 0.19157, and quantile values: 0.25 0.057929\n0.50 0.191570\n0.75 0.865945\nName: 9789, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.420818919132327, std values: 4.8236447943375715, min values: 5.2354e-07, max values: 39.239, median values: 0.24554, and quantile values: 0.25 0.061347\n0.50 0.245540\n0.75 0.858885\nName: 9790, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2132998596384905, std values: 4.636761634872997, min values: 5.6052e-07, max values: 38.423, median values: 0.12757, and quantile values: 0.25 0.041387\n0.50 0.127570\n0.75 0.623020\nName: 9791, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3421939413088049, std values: 4.738331082592859, min values: 2.6446e-06, max values: 39.521, median values: 0.2022, and quantile values: 0.25 0.056839\n0.50 0.202200\n0.75 0.763555\nName: 9792, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4002879100278993, std values: 4.803670556169872, min values: 6.6556e-08, max values: 40.106, median values: 0.20149, and quantile values: 0.25 0.044230\n0.50 0.201490\n0.75 0.744575\nName: 9793, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4420270630220124, std values: 4.941510296303849, min values: 1.3803e-06, max values: 39.852, median values: 0.20682, and quantile values: 0.25 0.066612\n0.50 0.206820\n0.75 0.807490\nName: 9794, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4845834391162265, std values: 4.7675136952303605, min values: 4.8078e-07, max values: 38.332, median values: 0.26407, and quantile values: 0.25 0.065463\n0.50 0.264070\n0.75 0.992015\nName: 9795, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6319468160981132, std values: 5.040346949049449, min values: 3.1963e-06, max values: 39.568, median values: 0.28409, and quantile values: 0.25 0.078133\n0.50 0.284090\n0.75 1.035725\nName: 9796, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5366497318647798, std values: 4.934947407634677, min values: 2.0559e-06, max values: 39.461, median values: 0.24126, and quantile values: 0.25 0.067108\n0.50 0.241260\n0.75 0.988765\nName: 9797, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.363992587056673, std values: 4.606525510906556, min values: 2.0041e-08, max values: 36.499, median values: 0.17638, and quantile values: 0.25 0.036444\n0.50 0.176380\n0.75 0.766165\nName: 9798, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7762256789144655, std values: 5.3515036938446885, min values: 5.5345e-06, max values: 42.7, median values: 0.3276, and quantile values: 0.25 0.096197\n0.50 0.327600\n0.75 1.081050\nName: 9799, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4518938589859751, std values: 4.807415257201825, min values: 6.6197e-07, max values: 38.639, median values: 0.21256, and quantile values: 0.25 0.053635\n0.50 0.212560\n0.75 0.849495\nName: 9800, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.507371867281132, std values: 4.967056730634794, min values: 3.2376e-06, max values: 40.26, median values: 0.25271, and quantile values: 0.25 0.063441\n0.50 0.252710\n0.75 0.913925\nName: 9801, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.560950974152201, std values: 5.0411948261025765, min values: 5.4424e-06, max values: 40.799, median values: 0.25295, and quantile values: 0.25 0.069014\n0.50 0.252950\n0.75 0.892580\nName: 9802, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2234977079652327, std values: 4.5736762177479875, min values: 1.8292e-08, max values: 37.01, median values: 0.14281, and quantile values: 0.25 0.035870\n0.50 0.142810\n0.75 0.643405\nName: 9803, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6757098517276732, std values: 5.087442398732938, min values: 2.6934e-06, max values: 40.031, median values: 0.27798, and quantile values: 0.25 0.074785\n0.50 0.277980\n0.75 1.093300\nName: 9804, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4184887489018865, std values: 4.805376512752569, min values: 1.2833e-06, max values: 38.513, median values: 0.20057, and quantile values: 0.25 0.05286\n0.50 0.20057\n0.75 0.90240\nName: 9805, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3992672351320754, std values: 4.575101926996955, min values: 1.6582e-06, max values: 39.222, median values: 0.20522, and quantile values: 0.25 0.062148\n0.50 0.205220\n0.75 0.854515\nName: 9806, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.698808304254717, std values: 5.100794664154399, min values: 2.6438e-06, max values: 39.725, median values: 0.30201, and quantile values: 0.25 0.080485\n0.50 0.302010\n0.75 1.165250\nName: 9807, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1802817605167295, std values: 4.537475696885914, min values: 4.3226e-07, max values: 38.571, median values: 0.14113, and quantile values: 0.25 0.038587\n0.50 0.141130\n0.75 0.594235\nName: 9808, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5951487253245282, std values: 5.246913650824256, min values: 2.717e-06, max values: 44.412, median values: 0.24216, and quantile values: 0.25 0.075503\n0.50 0.242160\n0.75 0.966395\nName: 9809, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5780163801044025, std values: 4.835961867851248, min values: 1.81e-06, max values: 39.376, median values: 0.24643, and quantile values: 0.25 0.068316\n0.50 0.246430\n0.75 1.045900\nName: 9810, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.342085599684088, std values: 4.864474395593706, min values: 6.2817e-07, max values: 40.239, median values: 0.18677, and quantile values: 0.25 0.048213\n0.50 0.186770\n0.75 0.776360\nName: 9811, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5765467747503146, std values: 5.077351169380326, min values: 2.7336e-06, max values: 40.484, median values: 0.27917, and quantile values: 0.25 0.07637\n0.50 0.27917\n0.75 0.92121\nName: 9812, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5764450725933965, std values: 5.017769084492336, min values: 3.6475e-07, max values: 41.554, median values: 0.24656, and quantile values: 0.25 0.064126\n0.50 0.246560\n0.75 1.047000\nName: 9813, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5578679942484277, std values: 4.905552458158567, min values: 2.9489e-06, max values: 39.314, median values: 0.27042, and quantile values: 0.25 0.076086\n0.50 0.270420\n0.75 0.947340\nName: 9814, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2633269540679246, std values: 4.70504201178483, min values: 2.1395e-06, max values: 39.421, median values: 0.14738, and quantile values: 0.25 0.049854\n0.50 0.147380\n0.75 0.676795\nName: 9815, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3483030794179307, std values: 4.576237040812691, min values: 2.8191e-08, max values: 36.916, median values: 0.17271, and quantile values: 0.25 0.049989\n0.50 0.172710\n0.75 0.781575\nName: 9816, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.379134420850566, std values: 4.722767182757483, min values: 3.3464e-07, max values: 38.304, median values: 0.20329, and quantile values: 0.25 0.049765\n0.50 0.203290\n0.75 0.837105\nName: 9817, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3978577289654086, std values: 5.012592393541894, min values: 2.4893e-06, max values: 41.17, median values: 0.21456, and quantile values: 0.25 0.059095\n0.50 0.214560\n0.75 0.822050\nName: 9818, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6200089586704405, std values: 5.018929222803473, min values: 2.3018e-06, max values: 39.391, median values: 0.24774, and quantile values: 0.25 0.07676\n0.50 0.24774\n0.75 1.07520\nName: 9819, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4491065428808174, std values: 4.984989056572957, min values: 4.0145e-07, max values: 41.512, median values: 0.22692, and quantile values: 0.25 0.055849\n0.50 0.226920\n0.75 0.771605\nName: 9820, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5564332183457237, std values: 5.040917551948521, min values: 2.1077e-07, max values: 41.634, median values: 0.23613, and quantile values: 0.25 0.060323\n0.50 0.236130\n0.75 0.967710\nName: 9821, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4347594131792454, std values: 4.798675073783274, min values: 1.0093e-06, max values: 38.062, median values: 0.21409, and quantile values: 0.25 0.065574\n0.50 0.214090\n0.75 0.859495\nName: 9822, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4792409637352204, std values: 4.982253872833998, min values: 9.164e-07, max values: 41.603, median values: 0.2233, and quantile values: 0.25 0.064005\n0.50 0.223300\n0.75 0.813660\nName: 9823, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4385800916836475, std values: 4.967599791140495, min values: 2.8944e-06, max values: 39.82, median values: 0.21055, and quantile values: 0.25 0.057372\n0.50 0.210550\n0.75 0.813045\nName: 9824, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4329521088809685, std values: 4.784998464489693, min values: 2.9104e-08, max values: 39.312, median values: 0.19789, and quantile values: 0.25 0.049823\n0.50 0.197890\n0.75 0.836440\nName: 9825, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3398274811486794, std values: 4.763835333956718, min values: 6.7224e-07, max values: 38.479, median values: 0.16975, and quantile values: 0.25 0.048224\n0.50 0.169750\n0.75 0.773190\nName: 9826, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5661683234037735, std values: 5.26727958980861, min values: 2.4876e-06, max values: 44.811, median values: 0.24425, and quantile values: 0.25 0.072059\n0.50 0.244250\n0.75 0.921185\nName: 9827, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5205416843002515, std values: 4.835372448509847, min values: 5.6144e-07, max values: 38.563, median values: 0.23254, and quantile values: 0.25 0.062095\n0.50 0.232540\n0.75 0.980610\nName: 9828, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6430773534962893, std values: 5.030402403631114, min values: 1.0812e-07, max values: 41.454, median values: 0.24801, and quantile values: 0.25 0.060193\n0.50 0.248010\n0.75 1.143200\nName: 9829, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7109361260433964, std values: 5.21250666682233, min values: 3.2612e-06, max values: 41.692, median values: 0.3157, and quantile values: 0.25 0.077238\n0.50 0.315700\n0.75 1.095600\nName: 9830, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9157771553404905, std values: 5.624012385344483, min values: 3.2698e-08, max values: 50.601, median values: 0.25744, and quantile values: 0.25 0.059423\n0.50 0.257440\n0.75 1.351950\nName: 9831, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6678276831320753, std values: 5.237877079515987, min values: 2.1783e-06, max values: 43.818, median values: 0.27364, and quantile values: 0.25 0.075903\n0.50 0.273640\n0.75 1.118700\nName: 9832, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4475839958361507, std values: 4.872221337541971, min values: 1.7358e-08, max values: 40.233, median values: 0.18252, and quantile values: 0.25 0.048682\n0.50 0.182520\n0.75 0.881890\nName: 9833, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.524288968591195, std values: 4.807185403558386, min values: 1.9336e-06, max values: 38.927, median values: 0.24866, and quantile values: 0.25 0.069067\n0.50 0.248660\n0.75 0.990175\nName: 9834, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.367319708811321, std values: 4.8396816640858935, min values: 1.0355e-06, max values: 38.993, median values: 0.2042, and quantile values: 0.25 0.067672\n0.50 0.204200\n0.75 0.764290\nName: 9835, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3244343757549055, std values: 4.665108622362681, min values: 6.4623e-07, max values: 37.733, median values: 0.17265, and quantile values: 0.25 0.053276\n0.50 0.172650\n0.75 0.792490\nName: 9836, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2953675420371698, std values: 4.708405472379343, min values: 1.3417e-07, max values: 38.903, median values: 0.14968, and quantile values: 0.25 0.039419\n0.50 0.149680\n0.75 0.647175\nName: 9837, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5473148008735846, std values: 4.8461939504847065, min values: 3.3249e-06, max values: 39.479, median values: 0.28796, and quantile values: 0.25 0.073081\n0.50 0.287960\n0.75 1.079200\nName: 9838, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3694219827315095, std values: 4.76613693016202, min values: 4.5121e-07, max values: 37.995, median values: 0.18668, and quantile values: 0.25 0.059069\n0.50 0.186680\n0.75 0.844910\nName: 9839, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.382804683291824, std values: 4.989251903321501, min values: 2.6605e-06, max values: 40.271, median values: 0.19765, and quantile values: 0.25 0.05792\n0.50 0.19765\n0.75 0.75854\nName: 9840, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.511335000545283, std values: 4.964272618854297, min values: 1.5956e-06, max values: 39.957, median values: 0.21947, and quantile values: 0.25 0.06326\n0.50 0.21947\n0.75 0.93110\nName: 9841, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7265403640811319, std values: 5.262168427184854, min values: 6.4571e-06, max values: 40.843, median values: 0.31828, and quantile values: 0.25 0.089959\n0.50 0.318280\n0.75 1.096950\nName: 9842, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7744541221037737, std values: 5.200831289091417, min values: 1.9078e-06, max values: 41.351, median values: 0.28889, and quantile values: 0.25 0.081826\n0.50 0.288890\n0.75 1.233400\nName: 9843, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6191750283883648, std values: 5.12972754910182, min values: 6.9515e-07, max values: 42.557, median values: 0.25998, and quantile values: 0.25 0.066180\n0.50 0.259980\n0.75 1.033965\nName: 9844, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7429250460144654, std values: 5.208032791153049, min values: 1.6656e-06, max values: 42.793, median values: 0.32635, and quantile values: 0.25 0.084852\n0.50 0.326350\n0.75 1.199200\nName: 9845, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5326575740327044, std values: 5.004726334639978, min values: 4.1553e-06, max values: 40.523, median values: 0.24799, and quantile values: 0.25 0.068503\n0.50 0.247990\n0.75 0.904635\nName: 9846, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4741971115949686, std values: 5.059490385781574, min values: 2.5347e-06, max values: 41.027, median values: 0.22793, and quantile values: 0.25 0.064735\n0.50 0.227930\n0.75 0.841595\nName: 9847, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5135955605704405, std values: 4.97369337217526, min values: 1.1474e-06, max values: 40.048, median values: 0.21341, and quantile values: 0.25 0.058699\n0.50 0.213410\n0.75 0.935110\nName: 9848, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2837820661636477, std values: 4.496854026637574, min values: 1.2694e-07, max values: 35.934, median values: 0.18596, and quantile values: 0.25 0.041982\n0.50 0.185960\n0.75 0.773100\nName: 9849, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.624215808416352, std values: 4.984412649902933, min values: 2.9467e-06, max values: 39.831, median values: 0.25546, and quantile values: 0.25 0.070686\n0.50 0.255460\n0.75 1.004515\nName: 9850, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4226830759282392, std values: 4.725817790666051, min values: 4.3389e-07, max values: 37.665, median values: 0.22931, and quantile values: 0.25 0.059955\n0.50 0.229310\n0.75 0.862240\nName: 9851, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.530112813327673, std values: 4.728873418889472, min values: 3.3383e-06, max values: 39.233, median values: 0.24219, and quantile values: 0.25 0.076957\n0.50 0.242190\n0.75 0.981005\nName: 9852, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3972886287157231, std values: 5.268109926505165, min values: 5.3974e-06, max values: 43.615, median values: 0.18884, and quantile values: 0.25 0.056084\n0.50 0.188840\n0.75 0.625870\nName: 9853, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6465935676264152, std values: 5.012216857261791, min values: 4.2955e-06, max values: 40.598, median values: 0.26627, and quantile values: 0.25 0.076503\n0.50 0.266270\n0.75 0.991130\nName: 9854, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3496965352257861, std values: 4.969197018648903, min values: 1.0636e-06, max values: 41.883, median values: 0.18471, and quantile values: 0.25 0.054586\n0.50 0.184710\n0.75 0.676980\nName: 9855, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.435121210299371, std values: 4.83060224314618, min values: 1.1825e-06, max values: 38.318, median values: 0.22615, and quantile values: 0.25 0.06759\n0.50 0.22615\n0.75 0.85363\nName: 9856, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3877198907808177, std values: 4.792986073497, min values: 7.7535e-07, max values: 38.295, median values: 0.20082, and quantile values: 0.25 0.060469\n0.50 0.200820\n0.75 0.772840\nName: 9857, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4053893739214216, std values: 4.916269968778691, min values: 2.2806e-08, max values: 41.092, median values: 0.19815, and quantile values: 0.25 0.051743\n0.50 0.198150\n0.75 0.793595\nName: 9858, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3852271924844026, std values: 4.994104175830252, min values: 2.1742e-07, max values: 42.937, median values: 0.20408, and quantile values: 0.25 0.046429\n0.50 0.204080\n0.75 0.769325\nName: 9859, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5076479989342138, std values: 4.942235447167816, min values: 5.6624e-07, max values: 39.76, median values: 0.20945, and quantile values: 0.25 0.056604\n0.50 0.209450\n0.75 0.939665\nName: 9860, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2153049459798744, std values: 4.8581191840523195, min values: 1.9481e-06, max values: 39.764, median values: 0.15686, and quantile values: 0.25 0.048432\n0.50 0.156860\n0.75 0.598020\nName: 9861, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4536889436157232, std values: 5.046938028078869, min values: 3.1557e-06, max values: 40.73, median values: 0.235, and quantile values: 0.25 0.063465\n0.50 0.235000\n0.75 0.766100\nName: 9862, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5853824625710693, std values: 4.819533248557535, min values: 1.317e-06, max values: 38.486, median values: 0.26246, and quantile values: 0.25 0.07731\n0.50 0.26246\n0.75 1.01110\nName: 9863, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6244707135421383, std values: 5.019112254821579, min values: 3.2576e-06, max values: 40.628, median values: 0.25288, and quantile values: 0.25 0.069223\n0.50 0.252880\n0.75 0.984485\nName: 9864, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5904419703125159, std values: 5.234525326466687, min values: 9.3299e-07, max values: 44.873, median values: 0.23332, and quantile values: 0.25 0.064165\n0.50 0.233320\n0.75 0.961240\nName: 9865, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3799744065019686, std values: 4.729756461458712, min values: 1.7813e-08, max values: 37.947, median values: 0.17382, and quantile values: 0.25 0.050662\n0.50 0.173820\n0.75 0.790910\nName: 9866, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4606665380061634, std values: 4.984467094212111, min values: 7.8098e-07, max values: 41.944, median values: 0.20391, and quantile values: 0.25 0.062241\n0.50 0.203910\n0.75 0.844365\nName: 9867, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3781645390433963, std values: 4.859781105953162, min values: 4.1196e-06, max values: 41.037, median values: 0.19272, and quantile values: 0.25 0.063181\n0.50 0.192720\n0.75 0.714575\nName: 9868, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.257998940454088, std values: 4.851519027487052, min values: 1.5861e-06, max values: 39.786, median values: 0.16672, and quantile values: 0.25 0.042953\n0.50 0.166720\n0.75 0.671460\nName: 9869, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5330486755264152, std values: 5.168392149378851, min values: 1.887e-06, max values: 43.318, median values: 0.22057, and quantile values: 0.25 0.069609\n0.50 0.220570\n0.75 0.925880\nName: 9870, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5186180196761006, std values: 5.032397037387234, min values: 1.2822e-06, max values: 41.607, median values: 0.24283, and quantile values: 0.25 0.062605\n0.50 0.242830\n0.75 0.924770\nName: 9871, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.406788515845912, std values: 4.97672635768895, min values: 9.364e-07, max values: 40.749, median values: 0.19586, and quantile values: 0.25 0.049839\n0.50 0.195860\n0.75 0.813290\nName: 9872, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5002337249245286, std values: 4.836433812849202, min values: 3.0395e-06, max values: 39.866, median values: 0.22882, and quantile values: 0.25 0.066559\n0.50 0.228820\n0.75 0.900980\nName: 9873, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4962796310969182, std values: 4.759850408706659, min values: 5.6411e-07, max values: 38.311, median values: 0.23611, and quantile values: 0.25 0.062516\n0.50 0.236110\n0.75 0.958785\nName: 9874, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5118852301490568, std values: 5.084318054388983, min values: 1.4824e-06, max values: 43.141, median values: 0.23232, and quantile values: 0.25 0.069481\n0.50 0.232320\n0.75 0.924835\nName: 9875, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.362577494991761, std values: 4.60525247484493, min values: 2.7209e-07, max values: 37.593, median values: 0.20803, and quantile values: 0.25 0.05557\n0.50 0.20803\n0.75 0.83907\nName: 9876, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2926073008532704, std values: 4.7783265181589005, min values: 6.2267e-07, max values: 39.217, median values: 0.17503, and quantile values: 0.25 0.051109\n0.50 0.175030\n0.75 0.697000\nName: 9877, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3189636016562452, std values: 4.757620097858111, min values: 1.5643e-08, max values: 38.272, median values: 0.16689, and quantile values: 0.25 0.045116\n0.50 0.166890\n0.75 0.723860\nName: 9878, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1213290563845912, std values: 4.517478222790976, min values: 7.1605e-07, max values: 37.995, median values: 0.11249, and quantile values: 0.25 0.040107\n0.50 0.112490\n0.75 0.515555\nName: 9879, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4732755183589936, std values: 4.835488092818345, min values: 7.8028e-07, max values: 38.373, median values: 0.23928, and quantile values: 0.25 0.061129\n0.50 0.239280\n0.75 0.895300\nName: 9880, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.500617665009434, std values: 4.756894394384379, min values: 1.1777e-06, max values: 38.436, median values: 0.22326, and quantile values: 0.25 0.063303\n0.50 0.223260\n0.75 0.961080\nName: 9881, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4076628754755034, std values: 4.8682523341487185, min values: 2.4445e-08, max values: 40.415, median values: 0.1767, and quantile values: 0.25 0.036052\n0.50 0.176700\n0.75 0.789455\nName: 9882, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4015427615761007, std values: 5.006700108101148, min values: 1.1553e-06, max values: 41.928, median values: 0.21525, and quantile values: 0.25 0.055226\n0.50 0.215250\n0.75 0.767030\nName: 9883, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6169708394974842, std values: 4.9684689153744905, min values: 4.3446e-06, max values: 40.002, median values: 0.2632, and quantile values: 0.25 0.076905\n0.50 0.263200\n0.75 1.022750\nName: 9884, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3688391336481134, std values: 4.726430740906584, min values: 4.6065e-07, max values: 37.954, median values: 0.20027, and quantile values: 0.25 0.055218\n0.50 0.200270\n0.75 0.868040\nName: 9885, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.471395248796019, std values: 4.635283346842584, min values: 6.4137e-08, max values: 36.386, median values: 0.22065, and quantile values: 0.25 0.054024\n0.50 0.220650\n0.75 0.941630\nName: 9886, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2023577768659748, std values: 4.582994110878832, min values: 3.7239e-07, max values: 36.94, median values: 0.12931, and quantile values: 0.25 0.039466\n0.50 0.129310\n0.75 0.615440\nName: 9887, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3466828457002515, std values: 4.889992866790929, min values: 1.2195e-07, max values: 41.958, median values: 0.15488, and quantile values: 0.25 0.034321\n0.50 0.154880\n0.75 0.663320\nName: 9888, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.534564390751195, std values: 4.932417400311152, min values: 2.8794e-07, max values: 40.355, median values: 0.22807, and quantile values: 0.25 0.058355\n0.50 0.228070\n0.75 0.920845\nName: 9889, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5510756042867926, std values: 5.460944716632108, min values: 2.1649e-06, max values: 48.833, median values: 0.22828, and quantile values: 0.25 0.066300\n0.50 0.228280\n0.75 0.892685\nName: 9890, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5765688727999998, std values: 5.103117746844575, min values: 2.336e-06, max values: 41.775, median values: 0.2832, and quantile values: 0.25 0.074235\n0.50 0.283200\n0.75 1.014800\nName: 9891, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5350395241155974, std values: 4.941097521271702, min values: 6.5338e-07, max values: 40.033, median values: 0.25681, and quantile values: 0.25 0.065257\n0.50 0.256810\n0.75 0.944925\nName: 9892, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6069620238792452, std values: 5.5177588991563935, min values: 1.5374e-06, max values: 50.001, median values: 0.23219, and quantile values: 0.25 0.064605\n0.50 0.232190\n0.75 1.010350\nName: 9893, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5260610905132077, std values: 4.965926536358239, min values: 3.2123e-06, max values: 40.041, median values: 0.27789, and quantile values: 0.25 0.07248\n0.50 0.27789\n0.75 0.92280\nName: 9894, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4900280440014086, std values: 4.737132964125534, min values: 3.2094e-08, max values: 37.099, median values: 0.20018, and quantile values: 0.25 0.049965\n0.50 0.200180\n0.75 0.946010\nName: 9895, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6065036857584905, std values: 5.136301625693583, min values: 2.0311e-06, max values: 41.672, median values: 0.25747, and quantile values: 0.25 0.072373\n0.50 0.257470\n0.75 1.028900\nName: 9896, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5318476633333333, std values: 4.990570053876999, min values: 1.1381e-06, max values: 40.945, median values: 0.21555, and quantile values: 0.25 0.063158\n0.50 0.215550\n0.75 0.955750\nName: 9897, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2934096189761006, std values: 4.7542252755237895, min values: 1.1533e-06, max values: 38.985, median values: 0.17319, and quantile values: 0.25 0.051359\n0.50 0.173190\n0.75 0.693730\nName: 9898, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5361526852022014, std values: 4.606752219597985, min values: 5.8905e-07, max values: 38.142, median values: 0.28146, and quantile values: 0.25 0.059514\n0.50 0.281460\n0.75 1.078415\nName: 9899, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3668276272389934, std values: 4.673220428818359, min values: 2.2436e-06, max values: 39.805, median values: 0.20129, and quantile values: 0.25 0.056365\n0.50 0.201290\n0.75 0.860205\nName: 9900, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.242681471144025, std values: 4.553188399524478, min values: 6.761e-07, max values: 38.997, median values: 0.17555, and quantile values: 0.25 0.049698\n0.50 0.175550\n0.75 0.743285\nName: 9901, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3537166384357864, std values: 4.739686396187297, min values: 3.1689e-07, max values: 38.076, median values: 0.17521, and quantile values: 0.25 0.050798\n0.50 0.175210\n0.75 0.819675\nName: 9902, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6572418761125784, std values: 4.852502130058835, min values: 2.0804e-06, max values: 37.973, median values: 0.28939, and quantile values: 0.25 0.088411\n0.50 0.289390\n0.75 1.143150\nName: 9903, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8464813770930821, std values: 4.940105472381313, min values: 2.644e-06, max values: 38.677, median values: 0.30309, and quantile values: 0.25 0.088511\n0.50 0.303090\n0.75 1.326250\nName: 9904, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6609758744320753, std values: 4.913294692220529, min values: 2.8471e-06, max values: 39.322, median values: 0.28539, and quantile values: 0.25 0.074529\n0.50 0.285390\n0.75 1.188350\nName: 9905, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4010809501730817, std values: 4.906737824504279, min values: 3.3792e-07, max values: 40.005, median values: 0.19233, and quantile values: 0.25 0.058794\n0.50 0.192330\n0.75 0.787540\nName: 9906, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6002901381886792, std values: 5.127132661725749, min values: 2.6388e-06, max values: 41.866, median values: 0.25971, and quantile values: 0.25 0.073644\n0.50 0.259710\n0.75 1.047850\nName: 9907, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4096013055779872, std values: 4.913003689718569, min values: 1.2977e-06, max values: 39.891, median values: 0.23426, and quantile values: 0.25 0.068103\n0.50 0.234260\n0.75 0.791240\nName: 9908, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4400379269509436, std values: 4.91604480322634, min values: 2.846e-06, max values: 39.647, median values: 0.2025, and quantile values: 0.25 0.064561\n0.50 0.202500\n0.75 0.798940\nName: 9909, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4902783081150943, std values: 5.333274479052221, min values: 4.5525e-06, max values: 45.03, median values: 0.21375, and quantile values: 0.25 0.055576\n0.50 0.213750\n0.75 0.751430\nName: 9910, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5470528176033143, std values: 4.886057890377606, min values: 2.1537e-08, max values: 39.887, median values: 0.24315, and quantile values: 0.25 0.049058\n0.50 0.243150\n0.75 0.926140\nName: 9911, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6765255443345914, std values: 5.2269094366643625, min values: 2.5048e-06, max values: 42.932, median values: 0.30239, and quantile values: 0.25 0.083264\n0.50 0.302390\n0.75 1.108950\nName: 9912, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3411986244446543, std values: 4.616406417370232, min values: 1.1397e-06, max values: 38.136, median values: 0.18757, and quantile values: 0.25 0.067904\n0.50 0.187570\n0.75 0.768995\nName: 9913, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7413022151971698, std values: 5.164446174056031, min values: 9.1665e-07, max values: 41.905, median values: 0.30566, and quantile values: 0.25 0.078223\n0.50 0.305660\n0.75 1.223550\nName: 9914, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3990735040327043, std values: 4.934316299840517, min values: 1.0604e-06, max values: 40.407, median values: 0.1881, and quantile values: 0.25 0.057320\n0.50 0.188100\n0.75 0.795565\nName: 9915, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4432603812419498, std values: 4.659703438376086, min values: 4.9517e-07, max values: 37.612, median values: 0.2039, and quantile values: 0.25 0.056825\n0.50 0.203900\n0.75 0.887310\nName: 9916, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5324124213490566, std values: 5.102841712382588, min values: 4.1896e-06, max values: 41.252, median values: 0.22411, and quantile values: 0.25 0.069256\n0.50 0.224110\n0.75 0.932850\nName: 9917, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.154717389115849, std values: 4.498532530988694, min values: 6.6472e-07, max values: 38.151, median values: 0.13932, and quantile values: 0.25 0.038703\n0.50 0.139320\n0.75 0.600255\nName: 9918, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.442666774391824, std values: 4.828267968549901, min values: 1.0627e-06, max values: 38.572, median values: 0.19778, and quantile values: 0.25 0.057166\n0.50 0.197780\n0.75 0.902465\nName: 9919, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4911844054062893, std values: 4.702565735931597, min values: 1.8937e-06, max values: 38.676, median values: 0.2447, and quantile values: 0.25 0.070582\n0.50 0.244700\n0.75 0.949685\nName: 9920, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4501539688283018, std values: 4.920821892141835, min values: 3.178e-06, max values: 39.26, median values: 0.21447, and quantile values: 0.25 0.067686\n0.50 0.214470\n0.75 0.853050\nName: 9921, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5373186404402517, std values: 5.079092710137785, min values: 1.7838e-06, max values: 41.218, median values: 0.23312, and quantile values: 0.25 0.061451\n0.50 0.233120\n0.75 0.965245\nName: 9922, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5404291531205658, std values: 5.247690176516087, min values: 5.8037e-07, max values: 46.122, median values: 0.20434, and quantile values: 0.25 0.048849\n0.50 0.204340\n0.75 0.897070\nName: 9923, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9558207483977987, std values: 5.355178981078627, min values: 9.5635e-07, max values: 43.816, median values: 0.3788, and quantile values: 0.25 0.086941\n0.50 0.378800\n0.75 1.499150\nName: 9924, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3353865661823898, std values: 4.7683910595305, min values: 2.8178e-06, max values: 39.899, median values: 0.19805, and quantile values: 0.25 0.055595\n0.50 0.198050\n0.75 0.735715\nName: 9925, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5218034773825786, std values: 5.19961590320689, min values: 5.4713e-07, max values: 45.217, median values: 0.23387, and quantile values: 0.25 0.06000\n0.50 0.23387\n0.75 0.90605\nName: 9926, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5687043394081763, std values: 5.001610570061733, min values: 4.9605e-06, max values: 40.213, median values: 0.25499, and quantile values: 0.25 0.075408\n0.50 0.254990\n0.75 0.947170\nName: 9927, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3288342687756602, std values: 4.583991499890179, min values: 3.0747e-07, max values: 36.434, median values: 0.16274, and quantile values: 0.25 0.04263\n0.50 0.16274\n0.75 0.76803\nName: 9928, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2336796980727671, std values: 4.467226396999298, min values: 3.8657e-07, max values: 38.068, median values: 0.1732, and quantile values: 0.25 0.048161\n0.50 0.173200\n0.75 0.719915\nName: 9929, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3113128099829747, std values: 4.548060914402976, min values: 1.8883e-08, max values: 37.302, median values: 0.15845, and quantile values: 0.25 0.035050\n0.50 0.158450\n0.75 0.728445\nName: 9930, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5867941843031446, std values: 5.0275159755414744, min values: 3.4414e-06, max values: 40.534, median values: 0.2531, and quantile values: 0.25 0.075637\n0.50 0.253100\n0.75 1.019950\nName: 9931, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.515084875399371, std values: 5.093089376007641, min values: 1.7878e-06, max values: 42.633, median values: 0.21148, and quantile values: 0.25 0.064102\n0.50 0.211480\n0.75 0.885315\nName: 9932, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8588916468553458, std values: 5.505365921932903, min values: 4.0142e-06, max values: 45.698, median values: 0.33256, and quantile values: 0.25 0.084569\n0.50 0.332560\n0.75 1.252700\nName: 9933, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.683446573688679, std values: 5.1013868894064, min values: 2.0763e-06, max values: 41.275, median values: 0.2781, and quantile values: 0.25 0.082376\n0.50 0.278100\n0.75 1.117900\nName: 9934, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5254105509585536, std values: 5.483272206347737, min values: 4.2831e-07, max values: 50.877, median values: 0.19707, and quantile values: 0.25 0.061225\n0.50 0.197070\n0.75 0.869975\nName: 9935, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5443801559849057, std values: 4.995425685687573, min values: 2.2733e-06, max values: 40.166, median values: 0.23214, and quantile values: 0.25 0.074555\n0.50 0.232140\n0.75 0.972255\nName: 9936, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.60814732375283, std values: 4.924036564918972, min values: 8.427e-07, max values: 39.056, median values: 0.23851, and quantile values: 0.25 0.062397\n0.50 0.238510\n0.75 1.107100\nName: 9937, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3345019434558238, std values: 4.880388081875901, min values: 1.6916e-08, max values: 41.351, median values: 0.16818, and quantile values: 0.25 0.044473\n0.50 0.168180\n0.75 0.674590\nName: 9938, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5684605149515725, std values: 4.974307311546049, min values: 2.6124e-06, max values: 39.744, median values: 0.25641, and quantile values: 0.25 0.072986\n0.50 0.256410\n0.75 0.976100\nName: 9939, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.655721374158113, std values: 5.205960326306117, min values: 9.3774e-07, max values: 44.245, median values: 0.25488, and quantile values: 0.25 0.069276\n0.50 0.254880\n0.75 1.124750\nName: 9940, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5521536652415093, std values: 5.008204853677245, min values: 1.6282e-06, max values: 40.082, median values: 0.23431, and quantile values: 0.25 0.06987\n0.50 0.23431\n0.75 0.98831\nName: 9941, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2849430464461633, std values: 4.786355585544156, min values: 8.6494e-07, max values: 38.662, median values: 0.16881, and quantile values: 0.25 0.054614\n0.50 0.168810\n0.75 0.711170\nName: 9942, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5910836409767295, std values: 5.013324740787158, min values: 2.083e-06, max values: 39.583, median values: 0.24712, and quantile values: 0.25 0.066196\n0.50 0.247120\n0.75 1.035200\nName: 9943, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.550191340397484, std values: 5.0138373009677375, min values: 1.4481e-06, max values: 40.304, median values: 0.21248, and quantile values: 0.25 0.065715\n0.50 0.212480\n0.75 0.980455\nName: 9944, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7414639431144654, std values: 5.109727346929339, min values: 1.2685e-06, max values: 40.838, median values: 0.32025, and quantile values: 0.25 0.078165\n0.50 0.320250\n0.75 1.231850\nName: 9945, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.495233393613648, std values: 4.915184761694951, min values: 4.1707e-07, max values: 40.083, median values: 0.2408, and quantile values: 0.25 0.064861\n0.50 0.240800\n0.75 0.951205\nName: 9946, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.280365989862893, std values: 4.783831838681087, min values: 1.488e-06, max values: 39.505, median values: 0.18958, and quantile values: 0.25 0.05223\n0.50 0.18958\n0.75 0.67740\nName: 9947, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4145637074341508, std values: 4.86546401600502, min values: 7.2563e-07, max values: 39.139, median values: 0.19797, and quantile values: 0.25 0.058247\n0.50 0.197970\n0.75 0.787420\nName: 9948, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1980764006856603, std values: 4.625813325184894, min values: 6.1122e-07, max values: 37.365, median values: 0.14597, and quantile values: 0.25 0.048119\n0.50 0.145970\n0.75 0.604375\nName: 9949, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6809428526591192, std values: 4.99479313477552, min values: 3.5045e-06, max values: 39.766, median values: 0.28447, and quantile values: 0.25 0.084331\n0.50 0.284470\n0.75 1.118650\nName: 9950, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7004847727735848, std values: 5.083944115227467, min values: 3.7444e-06, max values: 40.375, median values: 0.31481, and quantile values: 0.25 0.080597\n0.50 0.314810\n0.75 1.070650\nName: 9951, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3507426769069182, std values: 4.821785946712795, min values: 2.6106e-06, max values: 39.805, median values: 0.20134, and quantile values: 0.25 0.056138\n0.50 0.201340\n0.75 0.770225\nName: 9952, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5014803182509433, std values: 5.113612141240522, min values: 2.2183e-06, max values: 42.243, median values: 0.223, and quantile values: 0.25 0.061231\n0.50 0.223000\n0.75 0.890170\nName: 9953, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5566986352584906, std values: 4.85884965215666, min values: 1.247e-06, max values: 38.926, median values: 0.27552, and quantile values: 0.25 0.062717\n0.50 0.275520\n0.75 1.007870\nName: 9954, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.313424455423585, std values: 4.592586322950363, min values: 7.7375e-07, max values: 38.468, median values: 0.19035, and quantile values: 0.25 0.053105\n0.50 0.190350\n0.75 0.730115\nName: 9955, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.544342445755975, std values: 5.058483868121482, min values: 1.8916e-06, max values: 40.904, median values: 0.22202, and quantile values: 0.25 0.06567\n0.50 0.22202\n0.75 0.96082\nName: 9956, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8363435125893082, std values: 5.17263915893918, min values: 6.4717e-06, max values: 41.373, median values: 0.31632, and quantile values: 0.25 0.093027\n0.50 0.316320\n0.75 1.228000\nName: 9957, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4231276871387424, std values: 4.827683934152217, min values: 3.3236e-07, max values: 39.368, median values: 0.21024, and quantile values: 0.25 0.055504\n0.50 0.210240\n0.75 0.813950\nName: 9958, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5761837000578616, std values: 5.029822008061453, min values: 1.5682e-06, max values: 41.409, median values: 0.25636, and quantile values: 0.25 0.071689\n0.50 0.256360\n0.75 0.981740\nName: 9959, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.477135306521006, std values: 4.950021793606415, min values: 5.2384e-07, max values: 41.807, median values: 0.21852, and quantile values: 0.25 0.059405\n0.50 0.218520\n0.75 0.812705\nName: 9960, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4817808050490566, std values: 4.665672321280566, min values: 1.8562e-06, max values: 37.95, median values: 0.23002, and quantile values: 0.25 0.071804\n0.50 0.230020\n0.75 0.959905\nName: 9961, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4369537064131446, std values: 5.05980128591669, min values: 2.0589e-07, max values: 44.343, median values: 0.18282, and quantile values: 0.25 0.052593\n0.50 0.182820\n0.75 0.822865\nName: 9962, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5829831356767294, std values: 5.1242931874208795, min values: 2.0693e-06, max values: 41.99, median values: 0.25113, and quantile values: 0.25 0.069378\n0.50 0.251130\n0.75 0.995770\nName: 9963, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4271443783716982, std values: 4.841043337211045, min values: 8.05e-07, max values: 39.084, median values: 0.19802, and quantile values: 0.25 0.059841\n0.50 0.198020\n0.75 0.831065\nName: 9964, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5311020609802517, std values: 5.048425446909314, min values: 4.6756e-07, max values: 42.179, median values: 0.22123, and quantile values: 0.25 0.061871\n0.50 0.221230\n0.75 0.973045\nName: 9965, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.503854641855346, std values: 5.017167007477386, min values: 1.5367e-06, max values: 41.596, median values: 0.20782, and quantile values: 0.25 0.068939\n0.50 0.207820\n0.75 0.901575\nName: 9966, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5618501393440252, std values: 5.281312846727801, min values: 3.6802e-06, max values: 44.051, median values: 0.22329, and quantile values: 0.25 0.060047\n0.50 0.223290\n0.75 0.895895\nName: 9967, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5190145681037732, std values: 4.937426414322883, min values: 4.1582e-06, max values: 41.697, median values: 0.22501, and quantile values: 0.25 0.05784\n0.50 0.22501\n0.75 0.83164\nName: 9968, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.72225397811717, std values: 5.111162724441525, min values: 8.3723e-07, max values: 41.498, median values: 0.27168, and quantile values: 0.25 0.073065\n0.50 0.271680\n0.75 1.165600\nName: 9969, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1588956928921383, std values: 4.292530372519866, min values: 2.0882e-07, max values: 36.675, median values: 0.14745, and quantile values: 0.25 0.039968\n0.50 0.147450\n0.75 0.558120\nName: 9970, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3979998888161635, std values: 4.796522990125608, min values: 6.1227e-07, max values: 38.829, median values: 0.19208, and quantile values: 0.25 0.059042\n0.50 0.192080\n0.75 0.797170\nName: 9971, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4019488760163523, std values: 4.833993609855508, min values: 3.0818e-06, max values: 39.859, median values: 0.22018, and quantile values: 0.25 0.057434\n0.50 0.220180\n0.75 0.793690\nName: 9972, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4247886568567922, std values: 4.925874421768763, min values: 4.398e-07, max values: 41.727, median values: 0.18849, and quantile values: 0.25 0.048960\n0.50 0.188490\n0.75 0.834445\nName: 9973, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3747649792803145, std values: 4.571775803859595, min values: 7.1767e-07, max values: 38.21, median values: 0.20017, and quantile values: 0.25 0.052764\n0.50 0.200170\n0.75 0.828990\nName: 9974, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3584379254849686, std values: 4.604077430482451, min values: 9.7021e-07, max values: 37.269, median values: 0.22464, and quantile values: 0.25 0.05993\n0.50 0.22464\n0.75 0.85599\nName: 9975, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4651489535522013, std values: 4.841160646234126, min values: 1.682e-06, max values: 38.365, median values: 0.20455, and quantile values: 0.25 0.063866\n0.50 0.204550\n0.75 0.853410\nName: 9976, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3511927513009934, std values: 4.662939566008623, min values: 4.7428e-08, max values: 37.521, median values: 0.167, and quantile values: 0.25 0.039127\n0.50 0.167000\n0.75 0.729935\nName: 9977, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.654734398145912, std values: 5.124914718266118, min values: 1.8994e-06, max values: 41.497, median values: 0.24672, and quantile values: 0.25 0.061166\n0.50 0.246720\n0.75 1.046300\nName: 9978, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6640310567122645, std values: 5.1593692066044685, min values: 2.8995e-07, max values: 44.075, median values: 0.27595, and quantile values: 0.25 0.065476\n0.50 0.275950\n0.75 1.011150\nName: 9979, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5202370093178492, std values: 4.864417288260775, min values: 1.9798e-08, max values: 38.989, median values: 0.20301, and quantile values: 0.25 0.054449\n0.50 0.203010\n0.75 0.910240\nName: 9980, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3640483167490567, std values: 4.923584042659781, min values: 1.3244e-06, max values: 39.966, median values: 0.19379, and quantile values: 0.25 0.057225\n0.50 0.193790\n0.75 0.782335\nName: 9981, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4305812473827673, std values: 4.7719048641624395, min values: 7.4266e-07, max values: 39.016, median values: 0.19523, and quantile values: 0.25 0.061809\n0.50 0.195230\n0.75 0.858760\nName: 9982, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.561030320204654, std values: 5.063036069436075, min values: 4.7809e-07, max values: 43.452, median values: 0.20005, and quantile values: 0.25 0.052483\n0.50 0.200050\n0.75 0.857300\nName: 9983, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.488203832054088, std values: 4.685286662331408, min values: 2.3709e-06, max values: 39.097, median values: 0.25599, and quantile values: 0.25 0.071056\n0.50 0.255990\n0.75 0.952515\nName: 9984, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8628638768226415, std values: 5.172057334736155, min values: 4.0901e-06, max values: 39.786, median values: 0.33657, and quantile values: 0.25 0.089874\n0.50 0.336570\n0.75 1.319050\nName: 9985, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5030781559301885, std values: 5.16354861233401, min values: 3.5962e-06, max values: 42.765, median values: 0.21899, and quantile values: 0.25 0.069942\n0.50 0.218990\n0.75 0.851620\nName: 9986, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.536306266444025, std values: 4.845968526016781, min values: 1.4132e-06, max values: 38.704, median values: 0.2688, and quantile values: 0.25 0.06691\n0.50 0.26880\n0.75 0.99198\nName: 9987, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.485964611118239, std values: 4.852192818269731, min values: 1.9362e-06, max values: 38.514, median values: 0.23247, and quantile values: 0.25 0.076784\n0.50 0.232470\n0.75 0.891825\nName: 9988, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5616467477754716, std values: 5.097714689329349, min values: 1.9978e-06, max values: 41.339, median values: 0.22463, and quantile values: 0.25 0.069874\n0.50 0.224630\n0.75 0.965430\nName: 9989, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.462017104828302, std values: 5.001108863168063, min values: 1.0542e-06, max values: 41.242, median values: 0.19767, and quantile values: 0.25 0.061443\n0.50 0.197670\n0.75 0.845790\nName: 9990, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5251040696591194, std values: 4.793389015228508, min values: 3.486e-06, max values: 39.211, median values: 0.22675, and quantile values: 0.25 0.067183\n0.50 0.226750\n0.75 0.945810\nName: 9991, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.65269716925283, std values: 5.344307742430234, min values: 1.554e-06, max values: 45.937, median values: 0.24032, and quantile values: 0.25 0.072461\n0.50 0.240320\n0.75 1.079500\nName: 9992, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3798690696709435, std values: 4.763895184798451, min values: 2.8548e-07, max values: 37.984, median values: 0.20688, and quantile values: 0.25 0.056034\n0.50 0.206880\n0.75 0.786175\nName: 9993, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6122167611943399, std values: 5.093046838970926, min values: 5.1204e-06, max values: 40.791, median values: 0.25977, and quantile values: 0.25 0.079343\n0.50 0.259770\n0.75 0.956810\nName: 9994, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5446826465808179, std values: 4.8965974562049706, min values: 6.4445e-07, max values: 38.754, median values: 0.23031, and quantile values: 0.25 0.062786\n0.50 0.230310\n0.75 0.893200\nName: 9995, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5721785295138364, std values: 4.904317244424675, min values: 2.892e-06, max values: 39.355, median values: 0.23647, and quantile values: 0.25 0.072581\n0.50 0.236470\n0.75 1.009025\nName: 9996, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.770419985327673, std values: 5.240142262615333, min values: 2.3534e-06, max values: 42.461, median values: 0.30361, and quantile values: 0.25 0.079892\n0.50 0.303610\n0.75 1.256300\nName: 9997, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3014466186407547, std values: 4.5631867085317275, min values: 8.5298e-07, max values: 37.883, median values: 0.19138, and quantile values: 0.25 0.059295\n0.50 0.191380\n0.75 0.780570\nName: 9998, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5841351048855348, std values: 5.103148823262514, min values: 3.8319e-06, max values: 40.517, median values: 0.23785, and quantile values: 0.25 0.067749\n0.50 0.237850\n0.75 0.947000\nName: 9999, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3710652762685533, std values: 4.8117955039012665, min values: 2.9094e-06, max values: 40.43, median values: 0.1981, and quantile values: 0.25 0.053400\n0.50 0.198100\n0.75 0.791395\nName: 10000, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3229101468050315, std values: 4.611118031570311, min values: 1.671e-06, max values: 38.638, median values: 0.19685, and quantile values: 0.25 0.059386\n0.50 0.196850\n0.75 0.791925\nName: 10001, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4798473566158492, std values: 4.669037560969212, min values: 3.8572e-07, max values: 36.727, median values: 0.20066, and quantile values: 0.25 0.055375\n0.50 0.200660\n0.75 0.896545\nName: 10002, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.549923636909434, std values: 4.838317203644589, min values: 2.933e-06, max values: 39.403, median values: 0.24464, and quantile values: 0.25 0.068989\n0.50 0.244640\n0.75 1.008015\nName: 10003, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4228409145213836, std values: 4.784710245328414, min values: 1.5884e-06, max values: 38.305, median values: 0.2187, and quantile values: 0.25 0.060114\n0.50 0.218700\n0.75 0.837870\nName: 10004, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.453822839698629, std values: 4.822678250386037, min values: 2.5452e-08, max values: 39.827, median values: 0.21046, and quantile values: 0.25 0.044852\n0.50 0.210460\n0.75 0.831850\nName: 10005, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6437738540750313, std values: 4.927532935038418, min values: 9.8213e-07, max values: 38.328, median values: 0.28536, and quantile values: 0.25 0.073283\n0.50 0.285360\n0.75 1.140050\nName: 10006, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5389923477861636, std values: 4.80784715255813, min values: 4.333e-06, max values: 40.463, median values: 0.232, and quantile values: 0.25 0.072138\n0.50 0.232000\n0.75 0.945085\nName: 10007, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5197629633260064, std values: 4.908710805503024, min values: 4.0085e-08, max values: 40.669, median values: 0.19085, and quantile values: 0.25 0.050084\n0.50 0.190850\n0.75 0.879475\nName: 10008, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3504537302572326, std values: 4.50317955372397, min values: 1.3456e-06, max values: 38.238, median values: 0.19929, and quantile values: 0.25 0.06678\n0.50 0.19929\n0.75 0.83265\nName: 10009, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.49038476573978, std values: 4.788549862394684, min values: 2.0055e-08, max values: 38.145, median values: 0.23569, and quantile values: 0.25 0.053247\n0.50 0.235690\n0.75 0.911955\nName: 10010, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5471111717567294, std values: 4.88648008171498, min values: 5.1372e-07, max values: 38.443, median values: 0.25032, and quantile values: 0.25 0.06474\n0.50 0.25032\n0.75 1.04365\nName: 10011, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.675534097520126, std values: 5.339553418291119, min values: 4.8578e-06, max values: 44.101, median values: 0.29227, and quantile values: 0.25 0.085342\n0.50 0.292270\n0.75 1.017455\nName: 10012, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1212263104308178, std values: 4.431155844494899, min values: 3.0192e-06, max values: 38.636, median values: 0.11037, and quantile values: 0.25 0.033008\n0.50 0.110370\n0.75 0.384330\nName: 10013, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4075010797220127, std values: 4.819083719315331, min values: 3.1577e-06, max values: 40.306, median values: 0.21398, and quantile values: 0.25 0.057079\n0.50 0.213980\n0.75 0.829295\nName: 10014, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.640146637416981, std values: 5.082350790277793, min values: 2.4524e-06, max values: 40.831, median values: 0.26687, and quantile values: 0.25 0.077546\n0.50 0.266870\n0.75 1.070850\nName: 10015, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.515536952445912, std values: 5.070456337871362, min values: 2.9145e-06, max values: 40.983, median values: 0.22895, and quantile values: 0.25 0.066734\n0.50 0.228950\n0.75 0.895655\nName: 10016, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4869151815839308, std values: 4.938572678660219, min values: 2.0845e-08, max values: 41.186, median values: 0.22487, and quantile values: 0.25 0.054514\n0.50 0.224870\n0.75 0.897810\nName: 10017, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4157234903779874, std values: 4.752360809199675, min values: 7.608e-07, max values: 37.711, median values: 0.19585, and quantile values: 0.25 0.057510\n0.50 0.195850\n0.75 0.838835\nName: 10018, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.444854818654088, std values: 4.994176816159562, min values: 2.2548e-06, max values: 40.387, median values: 0.22203, and quantile values: 0.25 0.059425\n0.50 0.222030\n0.75 0.887720\nName: 10019, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3552848712144652, std values: 4.817971713786577, min values: 1.1322e-06, max values: 38.579, median values: 0.19601, and quantile values: 0.25 0.064591\n0.50 0.196010\n0.75 0.759810\nName: 10020, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5386294862455974, std values: 4.728526544246334, min values: 4.7355e-07, max values: 36.395, median values: 0.19801, and quantile values: 0.25 0.055849\n0.50 0.198010\n0.75 0.974630\nName: 10021, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2540190163270442, std values: 4.6487072046047055, min values: 2.9487e-06, max values: 39.694, median values: 0.18101, and quantile values: 0.25 0.056935\n0.50 0.181010\n0.75 0.614105\nName: 10022, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4018982631510062, std values: 5.003450278795522, min values: 2.1298e-07, max values: 43.748, median values: 0.18432, and quantile values: 0.25 0.046169\n0.50 0.184320\n0.75 0.700905\nName: 10023, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3248602337389936, std values: 5.006271636043848, min values: 1.7037e-06, max values: 41.49, median values: 0.1617, and quantile values: 0.25 0.050659\n0.50 0.161700\n0.75 0.664630\nName: 10024, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3595033636601888, std values: 4.854832244081621, min values: 1.7837e-07, max values: 39.855, median values: 0.19029, and quantile values: 0.25 0.053598\n0.50 0.190290\n0.75 0.783230\nName: 10025, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.433705359972327, std values: 4.885872812335406, min values: 8.275e-07, max values: 39.655, median values: 0.19453, and quantile values: 0.25 0.063836\n0.50 0.194530\n0.75 0.813870\nName: 10026, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5455734431566037, std values: 5.028099714069431, min values: 2.4676e-06, max values: 40.123, median values: 0.24666, and quantile values: 0.25 0.068537\n0.50 0.246660\n0.75 1.030650\nName: 10027, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4552658833603145, std values: 4.829871790947993, min values: 7.6479e-07, max values: 38.762, median values: 0.22998, and quantile values: 0.25 0.055366\n0.50 0.229980\n0.75 0.892760\nName: 10028, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2556014712508803, std values: 4.747266781024322, min values: 1.0687e-07, max values: 39.291, median values: 0.14774, and quantile values: 0.25 0.041235\n0.50 0.147740\n0.75 0.648095\nName: 10029, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6443486105295597, std values: 5.469982076063373, min values: 2.4999e-06, max values: 48.27, median values: 0.25923, and quantile values: 0.25 0.070601\n0.50 0.259230\n0.75 1.012765\nName: 10030, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4452589484850313, std values: 4.955344151448496, min values: 1.9872e-07, max values: 41.502, median values: 0.2151, and quantile values: 0.25 0.056562\n0.50 0.215100\n0.75 0.848530\nName: 10031, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4741204957772958, std values: 4.6185097908491475, min values: 7.5639e-07, max values: 38.38, median values: 0.22534, and quantile values: 0.25 0.060629\n0.50 0.225340\n0.75 0.965140\nName: 10032, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7677455285113206, std values: 5.239944925462987, min values: 1.2234e-06, max values: 43.425, median values: 0.29996, and quantile values: 0.25 0.087587\n0.50 0.299960\n0.75 1.200000\nName: 10033, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7867792978786166, std values: 5.311815432023984, min values: 2.6869e-06, max values: 43.91, median values: 0.30643, and quantile values: 0.25 0.08371\n0.50 0.30643\n0.75 1.22525\nName: 10034, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8213373733138365, std values: 5.184436074659438, min values: 5.0452e-06, max values: 40.487, median values: 0.32043, and quantile values: 0.25 0.088953\n0.50 0.320430\n0.75 1.190950\nName: 10035, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3748172828490568, std values: 4.7637262055023175, min values: 2.8058e-06, max values: 40.155, median values: 0.20603, and quantile values: 0.25 0.061949\n0.50 0.206030\n0.75 0.791340\nName: 10036, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8271288447748428, std values: 5.192127527969432, min values: 2.2893e-06, max values: 40.486, median values: 0.33971, and quantile values: 0.25 0.082877\n0.50 0.339710\n0.75 1.263800\nName: 10037, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.590029149038365, std values: 4.794909252642251, min values: 2.5647e-06, max values: 39.432, median values: 0.25463, and quantile values: 0.25 0.076688\n0.50 0.254630\n0.75 1.105350\nName: 10038, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.713264682033648, std values: 5.145549611785265, min values: 8.1855e-07, max values: 42.545, median values: 0.29033, and quantile values: 0.25 0.074522\n0.50 0.290330\n0.75 1.114050\nName: 10039, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5080393830477985, std values: 5.12038882030174, min values: 2.6866e-06, max values: 41.789, median values: 0.22182, and quantile values: 0.25 0.06408\n0.50 0.22182\n0.75 0.92847\nName: 10040, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6783085934597484, std values: 5.171594995939328, min values: 5.8622e-06, max values: 41.256, median values: 0.27703, and quantile values: 0.25 0.07103\n0.50 0.27703\n0.75 0.99340\nName: 10041, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5775709686849055, std values: 4.829782434944879, min values: 1.9568e-06, max values: 38.938, median values: 0.28942, and quantile values: 0.25 0.078088\n0.50 0.289420\n0.75 1.066930\nName: 10042, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3817678070828303, std values: 4.744580852798602, min values: 4.4307e-07, max values: 38.167, median values: 0.19212, and quantile values: 0.25 0.051439\n0.50 0.192120\n0.75 0.854210\nName: 10043, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4611303006823897, std values: 4.739328679826862, min values: 1.934e-06, max values: 39.012, median values: 0.22904, and quantile values: 0.25 0.058941\n0.50 0.229040\n0.75 0.959895\nName: 10044, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7228294129352202, std values: 5.346330869220742, min values: 4.7362e-06, max values: 44.578, median values: 0.26679, and quantile values: 0.25 0.084202\n0.50 0.266790\n0.75 1.090950\nName: 10045, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3580311558023332, std values: 4.665701843544435, min values: 1.7371e-08, max values: 37.818, median values: 0.174, and quantile values: 0.25 0.046124\n0.50 0.174000\n0.75 0.797675\nName: 10046, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.39054473526478, std values: 4.818348670549095, min values: 2.654e-06, max values: 40.51, median values: 0.19843, and quantile values: 0.25 0.059292\n0.50 0.198430\n0.75 0.797005\nName: 10047, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3815400492490564, std values: 4.793706891735252, min values: 1.476e-06, max values: 38.926, median values: 0.2148, and quantile values: 0.25 0.055890\n0.50 0.214800\n0.75 0.843195\nName: 10048, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.370819647141761, std values: 4.677393249328228, min values: 9.5654e-07, max values: 37.109, median values: 0.20251, and quantile values: 0.25 0.065155\n0.50 0.202510\n0.75 0.858210\nName: 10049, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4094418624974845, std values: 4.933053772752792, min values: 3.2632e-06, max values: 40.818, median values: 0.19149, and quantile values: 0.25 0.057544\n0.50 0.191490\n0.75 0.765445\nName: 10050, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.636536390820126, std values: 5.15559854172845, min values: 5.6175e-06, max values: 40.843, median values: 0.27796, and quantile values: 0.25 0.078263\n0.50 0.277960\n0.75 0.992770\nName: 10051, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.319267864545409, std values: 4.846371246546368, min values: 6.0352e-07, max values: 38.517, median values: 0.14454, and quantile values: 0.25 0.040123\n0.50 0.144540\n0.75 0.647695\nName: 10052, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4187217443657234, std values: 4.925836910344469, min values: 1.3975e-07, max values: 42.126, median values: 0.18036, and quantile values: 0.25 0.049159\n0.50 0.180360\n0.75 0.795865\nName: 10053, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3319409159488051, std values: 4.523137316250646, min values: 3.0376e-07, max values: 37.028, median values: 0.21386, and quantile values: 0.25 0.060299\n0.50 0.213860\n0.75 0.779995\nName: 10054, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3329292524786163, std values: 4.962627044580769, min values: 2.6242e-06, max values: 40.214, median values: 0.16939, and quantile values: 0.25 0.056268\n0.50 0.169390\n0.75 0.685165\nName: 10055, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4838654743194968, std values: 4.782985216829814, min values: 2.7302e-06, max values: 38.954, median values: 0.20701, and quantile values: 0.25 0.067196\n0.50 0.207010\n0.75 0.902630\nName: 10056, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9072846631861635, std values: 5.1672247774272755, min values: 5.9896e-06, max values: 40.629, median values: 0.34642, and quantile values: 0.25 0.102365\n0.50 0.346420\n0.75 1.244950\nName: 10057, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5995788920666665, std values: 4.814218527267385, min values: 4.1032e-06, max values: 39.412, median values: 0.25806, and quantile values: 0.25 0.074805\n0.50 0.258060\n0.75 1.093600\nName: 10058, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7175397024536478, std values: 5.141452773016083, min values: 6.0153e-07, max values: 42.284, median values: 0.2483, and quantile values: 0.25 0.067123\n0.50 0.248300\n0.75 1.148850\nName: 10059, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2181427091940253, std values: 4.418798338009288, min values: 4.0362e-07, max values: 37.038, median values: 0.14852, and quantile values: 0.25 0.039642\n0.50 0.148520\n0.75 0.609225\nName: 10060, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.483128868648679, std values: 4.813663313009153, min values: 2.1594e-07, max values: 38.815, median values: 0.21976, and quantile values: 0.25 0.063352\n0.50 0.219760\n0.75 0.896020\nName: 10061, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3686783876406914, std values: 4.988181798294909, min values: 6.8477e-07, max values: 42.233, median values: 0.15756, and quantile values: 0.25 0.047274\n0.50 0.157560\n0.75 0.706570\nName: 10062, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.529580560039937, std values: 5.015379709628602, min values: 4.4385e-07, max values: 41.664, median values: 0.22996, and quantile values: 0.25 0.056308\n0.50 0.229960\n0.75 0.962405\nName: 10063, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5379046956056603, std values: 4.832429029834095, min values: 2.1255e-06, max values: 39.097, median values: 0.22031, and quantile values: 0.25 0.072013\n0.50 0.220310\n0.75 0.975410\nName: 10064, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7110405675031446, std values: 5.0812196923930255, min values: 3.3007e-06, max values: 39.66, median values: 0.29394, and quantile values: 0.25 0.090666\n0.50 0.293940\n0.75 1.129650\nName: 10065, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6620173415742139, std values: 5.37688732777947, min values: 4.2111e-06, max values: 44.856, median values: 0.25889, and quantile values: 0.25 0.075058\n0.50 0.258890\n0.75 1.002525\nName: 10066, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4504374963189937, std values: 4.619757456176347, min values: 7.0352e-07, max values: 37.464, median values: 0.22042, and quantile values: 0.25 0.062016\n0.50 0.220420\n0.75 0.900390\nName: 10067, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3849098478515725, std values: 4.9550147176617445, min values: 4.297e-07, max values: 42.293, median values: 0.19713, and quantile values: 0.25 0.055962\n0.50 0.197130\n0.75 0.759625\nName: 10068, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4690773029773585, std values: 4.941236260165497, min values: 4.8775e-06, max values: 41.367, median values: 0.23064, and quantile values: 0.25 0.062941\n0.50 0.230640\n0.75 0.798970\nName: 10069, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1960403943738365, std values: 4.82060738976376, min values: 6.5134e-07, max values: 40.19, median values: 0.1437, and quantile values: 0.25 0.04830\n0.50 0.14370\n0.75 0.59172\nName: 10070, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3221834025369874, std values: 4.91794520426469, min values: 1.8801e-08, max values: 42.997, median values: 0.1635, and quantile values: 0.25 0.03987\n0.50 0.16350\n0.75 0.64925\nName: 10071, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4972694936132076, std values: 4.8779541808621945, min values: 4.8618e-06, max values: 40.363, median values: 0.24937, and quantile values: 0.25 0.070495\n0.50 0.249370\n0.75 0.901440\nName: 10072, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.573522575289308, std values: 5.096262456778496, min values: 3.8682e-06, max values: 40.538, median values: 0.24908, and quantile values: 0.25 0.068794\n0.50 0.249080\n0.75 0.945450\nName: 10073, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4135542339327045, std values: 4.923251995827166, min values: 3.3241e-06, max values: 40.301, median values: 0.20514, and quantile values: 0.25 0.064085\n0.50 0.205140\n0.75 0.746080\nName: 10074, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.37493319811239, std values: 4.73367609270855, min values: 1.7525e-07, max values: 37.971, median values: 0.20015, and quantile values: 0.25 0.052333\n0.50 0.200150\n0.75 0.788385\nName: 10075, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3669916537189306, std values: 4.646495459425528, min values: 5.7551e-07, max values: 38.47, median values: 0.19918, and quantile values: 0.25 0.06143\n0.50 0.19918\n0.75 0.79410\nName: 10076, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.683998714624528, std values: 5.297640874945171, min values: 4.0223e-06, max values: 43.136, median values: 0.24034, and quantile values: 0.25 0.073765\n0.50 0.240340\n0.75 1.020750\nName: 10077, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.391370405900629, std values: 4.865437591389872, min values: 1.5081e-06, max values: 39.068, median values: 0.20473, and quantile values: 0.25 0.050711\n0.50 0.204730\n0.75 0.796000\nName: 10078, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4746541924779872, std values: 4.870792999465972, min values: 2.5547e-06, max values: 39.321, median values: 0.2179, and quantile values: 0.25 0.064699\n0.50 0.217900\n0.75 0.912055\nName: 10079, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6148344560949686, std values: 4.798108376826338, min values: 2.098e-07, max values: 38.198, median values: 0.26517, and quantile values: 0.25 0.063324\n0.50 0.265170\n0.75 1.147350\nName: 10080, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.634104682516352, std values: 5.221897954257922, min values: 3.2058e-06, max values: 42.661, median values: 0.29621, and quantile values: 0.25 0.076419\n0.50 0.296210\n0.75 1.046635\nName: 10081, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6935216872471697, std values: 5.310686352707454, min values: 2.7054e-06, max values: 44.292, median values: 0.28612, and quantile values: 0.25 0.075871\n0.50 0.286120\n0.75 1.078700\nName: 10082, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5673250395707483, std values: 5.0801368412770165, min values: 2.1739e-08, max values: 43.523, median values: 0.20031, and quantile values: 0.25 0.049468\n0.50 0.200310\n0.75 0.945365\nName: 10083, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5403155378408806, std values: 4.959079154908037, min values: 3.9629e-06, max values: 40.258, median values: 0.24133, and quantile values: 0.25 0.067733\n0.50 0.241330\n0.75 0.911025\nName: 10084, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4987012854355972, std values: 4.964005832988915, min values: 1.1786e-07, max values: 41.423, median values: 0.19104, and quantile values: 0.25 0.052215\n0.50 0.191040\n0.75 0.919740\nName: 10085, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5020041657264154, std values: 4.956092815745192, min values: 1.7998e-06, max values: 39.528, median values: 0.21323, and quantile values: 0.25 0.062768\n0.50 0.213230\n0.75 0.947125\nName: 10086, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4095325499849056, std values: 4.983779277174047, min values: 1.9147e-06, max values: 40.71, median values: 0.21985, and quantile values: 0.25 0.061999\n0.50 0.219850\n0.75 0.870020\nName: 10087, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4318917709779873, std values: 4.833501456549412, min values: 1.068e-06, max values: 38.531, median values: 0.20031, and quantile values: 0.25 0.064356\n0.50 0.200310\n0.75 0.930140\nName: 10088, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6323754504198738, std values: 5.07893772874552, min values: 1.8066e-07, max values: 42.276, median values: 0.25439, and quantile values: 0.25 0.074567\n0.50 0.254390\n0.75 1.082150\nName: 10089, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.468940963143522, std values: 4.796161126291565, min values: 1.868e-08, max values: 38.343, median values: 0.17356, and quantile values: 0.25 0.044431\n0.50 0.173560\n0.75 0.860345\nName: 10090, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3852744549501257, std values: 4.941212910610643, min values: 4.9697e-07, max values: 42.205, median values: 0.17385, and quantile values: 0.25 0.050125\n0.50 0.173850\n0.75 0.775635\nName: 10091, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4633836264245283, std values: 4.8394453473739585, min values: 1.3551e-06, max values: 38.353, median values: 0.22505, and quantile values: 0.25 0.067310\n0.50 0.225050\n0.75 0.880465\nName: 10092, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2401953249114905, std values: 4.7055874430828935, min values: 2.5677e-08, max values: 38.563, median values: 0.15055, and quantile values: 0.25 0.039207\n0.50 0.150550\n0.75 0.613255\nName: 10093, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3287243137918239, std values: 4.712668346012043, min values: 1.3643e-06, max values: 38.822, median values: 0.19596, and quantile values: 0.25 0.058902\n0.50 0.195960\n0.75 0.736395\nName: 10094, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6443488523918237, std values: 4.986311661810358, min values: 4.1333e-06, max values: 40.58, median values: 0.27057, and quantile values: 0.25 0.084326\n0.50 0.270570\n0.75 1.048285\nName: 10095, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4997116999918239, std values: 4.850319558259855, min values: 1.16e-06, max values: 39.024, median values: 0.20934, and quantile values: 0.25 0.061462\n0.50 0.209340\n0.75 0.988410\nName: 10096, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4391180216955972, std values: 4.716536352107737, min values: 2.1366e-06, max values: 39.653, median values: 0.23511, and quantile values: 0.25 0.064177\n0.50 0.235110\n0.75 0.896560\nName: 10097, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5724627548213836, std values: 4.973778826374588, min values: 2.626e-06, max values: 40.533, median values: 0.23663, and quantile values: 0.25 0.070711\n0.50 0.236630\n0.75 0.953945\nName: 10098, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4429810390218867, std values: 4.946062588767073, min values: 2.5042e-07, max values: 40.684, median values: 0.1883, and quantile values: 0.25 0.051806\n0.50 0.188300\n0.75 0.729280\nName: 10099, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7745034223402516, std values: 5.030891979039304, min values: 2.5031e-06, max values: 39.117, median values: 0.31029, and quantile values: 0.25 0.083659\n0.50 0.310290\n0.75 1.275150\nName: 10100, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4877462168597484, std values: 5.032619393599215, min values: 1.6361e-06, max values: 41.107, median values: 0.20311, and quantile values: 0.25 0.058577\n0.50 0.203110\n0.75 0.913855\nName: 10101, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2336483010996226, std values: 4.599760614303743, min values: 2.5494e-07, max values: 37.669, median values: 0.16773, and quantile values: 0.25 0.048341\n0.50 0.167730\n0.75 0.662230\nName: 10102, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2831604698270442, std values: 4.57489661308348, min values: 2.6592e-06, max values: 39.096, median values: 0.18116, and quantile values: 0.25 0.056945\n0.50 0.181160\n0.75 0.676330\nName: 10103, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4715165421446543, std values: 5.013788431655664, min values: 2.1373e-06, max values: 40.48, median values: 0.23665, and quantile values: 0.25 0.061125\n0.50 0.236650\n0.75 0.874375\nName: 10104, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4314305200433963, std values: 4.849942972502574, min values: 8.556e-07, max values: 39.205, median values: 0.23211, and quantile values: 0.25 0.061037\n0.50 0.232110\n0.75 0.851730\nName: 10105, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5438709146849057, std values: 4.99511034684734, min values: 3.4504e-06, max values: 40.516, median values: 0.24533, and quantile values: 0.25 0.061585\n0.50 0.245330\n0.75 0.884280\nName: 10106, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.626011341625786, std values: 5.361154354698034, min values: 2.5101e-06, max values: 45.449, median values: 0.24768, and quantile values: 0.25 0.069334\n0.50 0.247680\n0.75 1.048450\nName: 10107, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6925989680094342, std values: 5.180007952194528, min values: 1.9808e-06, max values: 41.964, median values: 0.29469, and quantile values: 0.25 0.076592\n0.50 0.294690\n0.75 1.086150\nName: 10108, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1069407916703773, std values: 4.299995095441715, min values: 3.3522e-07, max values: 36.922, median values: 0.12081, and quantile values: 0.25 0.040737\n0.50 0.120810\n0.75 0.555900\nName: 10109, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3595704731893081, std values: 4.731013511661557, min values: 3.879e-07, max values: 37.785, median values: 0.15879, and quantile values: 0.25 0.048412\n0.50 0.158790\n0.75 0.740955\nName: 10110, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7027149074157228, std values: 4.977936348139083, min values: 2.8612e-06, max values: 38.782, median values: 0.29255, and quantile values: 0.25 0.08440\n0.50 0.29255\n0.75 1.18195\nName: 10111, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3250061294715094, std values: 4.642920177156469, min values: 8.2237e-07, max values: 36.747, median values: 0.18596, and quantile values: 0.25 0.051709\n0.50 0.185960\n0.75 0.781145\nName: 10112, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5509527823860376, std values: 4.981363372145671, min values: 4.6228e-07, max values: 40.891, median values: 0.22795, and quantile values: 0.25 0.067802\n0.50 0.227950\n0.75 1.026950\nName: 10113, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4147708151217986, std values: 4.885396409935151, min values: 2.6806e-08, max values: 41.206, median values: 0.15973, and quantile values: 0.25 0.046197\n0.50 0.159730\n0.75 0.845210\nName: 10114, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4683914928642139, std values: 4.907432228329979, min values: 7.6091e-07, max values: 39.327, median values: 0.2261, and quantile values: 0.25 0.063395\n0.50 0.226100\n0.75 0.897915\nName: 10115, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4687011357119497, std values: 4.8613741801314285, min values: 1.0393e-06, max values: 38.688, median values: 0.23055, and quantile values: 0.25 0.062864\n0.50 0.230550\n0.75 0.901820\nName: 10116, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5978057968849053, std values: 5.044426740668156, min values: 1.8475e-06, max values: 40.613, median values: 0.24334, and quantile values: 0.25 0.075159\n0.50 0.243340\n0.75 1.011600\nName: 10117, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3749714281597487, std values: 4.856351103507466, min values: 2.4257e-06, max values: 39.743, median values: 0.18883, and quantile values: 0.25 0.053737\n0.50 0.188830\n0.75 0.804590\nName: 10118, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4054714242371067, std values: 5.054166360138775, min values: 1.8594e-06, max values: 42.983, median values: 0.20736, and quantile values: 0.25 0.062284\n0.50 0.207360\n0.75 0.795080\nName: 10119, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4553860211251572, std values: 5.049611249972907, min values: 4.3654e-06, max values: 41.604, median values: 0.19947, and quantile values: 0.25 0.054684\n0.50 0.199470\n0.75 0.707280\nName: 10120, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3309146763284279, std values: 4.846075080163503, min values: 7.2692e-07, max values: 39.568, median values: 0.18619, and quantile values: 0.25 0.056629\n0.50 0.186190\n0.75 0.720175\nName: 10121, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4982353272264153, std values: 4.836110932121695, min values: 1.7676e-06, max values: 39.554, median values: 0.23317, and quantile values: 0.25 0.066594\n0.50 0.233170\n0.75 0.965710\nName: 10122, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6316454115899373, std values: 4.847130664651706, min values: 2.8136e-06, max values: 38.527, median values: 0.28961, and quantile values: 0.25 0.077013\n0.50 0.289610\n0.75 1.116350\nName: 10123, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5448694233847169, std values: 5.036108705493524, min values: 1.1647e-07, max values: 42.721, median values: 0.21928, and quantile values: 0.25 0.059748\n0.50 0.219280\n0.75 0.865745\nName: 10124, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.540961400345283, std values: 4.964851989477888, min values: 1.2029e-06, max values: 40.623, median values: 0.26706, and quantile values: 0.25 0.065912\n0.50 0.267060\n0.75 0.993010\nName: 10125, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4521458368531446, std values: 4.868839299035766, min values: 8.5905e-07, max values: 39.172, median values: 0.21727, and quantile values: 0.25 0.062005\n0.50 0.217270\n0.75 0.835205\nName: 10126, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6612040511786161, std values: 5.059457515268429, min values: 1.9366e-06, max values: 39.821, median values: 0.28341, and quantile values: 0.25 0.081127\n0.50 0.283410\n0.75 1.149750\nName: 10127, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3362325982083647, std values: 4.80709994617697, min values: 7.3793e-07, max values: 39.026, median values: 0.17338, and quantile values: 0.25 0.050704\n0.50 0.173380\n0.75 0.777420\nName: 10128, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5403609842634591, std values: 4.755160991100932, min values: 6.5409e-07, max values: 37.389, median values: 0.23194, and quantile values: 0.25 0.06543\n0.50 0.23194\n0.75 0.97038\nName: 10129, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5435971690745283, std values: 5.23241333171811, min values: 9.6445e-07, max values: 44.621, median values: 0.20421, and quantile values: 0.25 0.060374\n0.50 0.204210\n0.75 0.951960\nName: 10130, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7456689838628932, std values: 5.634055533043581, min values: 3.1855e-06, max values: 50.152, median values: 0.28534, and quantile values: 0.25 0.078878\n0.50 0.285340\n0.75 1.061450\nName: 10131, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5607902848566038, std values: 4.998040555571873, min values: 1.474e-06, max values: 40.049, median values: 0.22365, and quantile values: 0.25 0.067221\n0.50 0.223650\n0.75 0.936090\nName: 10132, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.564500394844025, std values: 5.0505994641037555, min values: 1.1105e-06, max values: 42.011, median values: 0.21192, and quantile values: 0.25 0.059985\n0.50 0.211920\n0.75 0.954000\nName: 10133, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5610249539886791, std values: 4.893301146423594, min values: 2.0555e-06, max values: 38.771, median values: 0.25994, and quantile values: 0.25 0.080612\n0.50 0.259940\n0.75 1.019750\nName: 10134, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2324877319610064, std values: 4.5531107197121745, min values: 1.5241e-06, max values: 38.778, median values: 0.16598, and quantile values: 0.25 0.051493\n0.50 0.165980\n0.75 0.658825\nName: 10135, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.636695034811887, std values: 4.998995376055575, min values: 3.1619e-07, max values: 40.677, median values: 0.27574, and quantile values: 0.25 0.067379\n0.50 0.275740\n0.75 1.028850\nName: 10136, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.423498455308931, std values: 4.673336609268315, min values: 2.4002e-07, max values: 37.88, median values: 0.20125, and quantile values: 0.25 0.055536\n0.50 0.201250\n0.75 0.869345\nName: 10137, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8194815755295597, std values: 5.308939117763708, min values: 5.5792e-06, max values: 40.798, median values: 0.31996, and quantile values: 0.25 0.091328\n0.50 0.319960\n0.75 1.153200\nName: 10138, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4726349601787923, std values: 4.8534328131776014, min values: 2.0868e-08, max values: 40.367, median values: 0.19321, and quantile values: 0.25 0.043440\n0.50 0.193210\n0.75 0.825915\nName: 10139, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5659345722880504, std values: 4.902173452773424, min values: 4.4757e-06, max values: 39.779, median values: 0.25462, and quantile values: 0.25 0.076311\n0.50 0.254620\n0.75 1.010210\nName: 10140, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5417527220886793, std values: 4.983603042527515, min values: 2.3916e-06, max values: 39.265, median values: 0.26387, and quantile values: 0.25 0.067214\n0.50 0.263870\n0.75 0.960240\nName: 10141, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3111243577893081, std values: 4.996068870353871, min values: 2.6156e-06, max values: 41.065, median values: 0.17251, and quantile values: 0.25 0.050564\n0.50 0.172510\n0.75 0.663490\nName: 10142, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4231540393485533, std values: 5.165824840743738, min values: 7.5652e-07, max values: 44.374, median values: 0.18579, and quantile values: 0.25 0.051961\n0.50 0.185790\n0.75 0.874015\nName: 10143, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1978315628698744, std values: 4.811102461837903, min values: 8.0131e-07, max values: 39.039, median values: 0.1541, and quantile values: 0.25 0.047351\n0.50 0.154100\n0.75 0.618295\nName: 10144, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1417219743742137, std values: 4.601280264108979, min values: 1.9301e-06, max values: 38.618, median values: 0.13878, and quantile values: 0.25 0.046706\n0.50 0.138780\n0.75 0.468145\nName: 10145, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.454401241786478, std values: 5.082067609452706, min values: 9.2285e-07, max values: 43.395, median values: 0.20225, and quantile values: 0.25 0.062589\n0.50 0.202250\n0.75 0.851665\nName: 10146, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.616236386343522, std values: 4.8602116926976935, min values: 8.2522e-07, max values: 37.936, median values: 0.26269, and quantile values: 0.25 0.07546\n0.50 0.26269\n0.75 1.08100\nName: 10147, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5118461287528302, std values: 5.152731381503019, min values: 2.7183e-06, max values: 42.763, median values: 0.20943, and quantile values: 0.25 0.064212\n0.50 0.209430\n0.75 0.854920\nName: 10148, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.482502294300629, std values: 4.751386368753902, min values: 2.625e-06, max values: 39.171, median values: 0.24079, and quantile values: 0.25 0.067813\n0.50 0.240790\n0.75 0.907005\nName: 10149, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3817951701962263, std values: 4.753787133127745, min values: 1.5755e-06, max values: 38.909, median values: 0.20552, and quantile values: 0.25 0.059617\n0.50 0.205520\n0.75 0.794000\nName: 10150, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6813391432327047, std values: 4.951080747933708, min values: 6.666e-06, max values: 41.401, median values: 0.27061, and quantile values: 0.25 0.073856\n0.50 0.270610\n0.75 1.078600\nName: 10151, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4919877727729558, std values: 4.936153789673035, min values: 1.3332e-06, max values: 39.783, median values: 0.2174, and quantile values: 0.25 0.067349\n0.50 0.217400\n0.75 0.898145\nName: 10152, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5030980926220125, std values: 5.061227202706336, min values: 4.4615e-06, max values: 40.727, median values: 0.23126, and quantile values: 0.25 0.068161\n0.50 0.231260\n0.75 0.808550\nName: 10153, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.285641572771698, std values: 4.692647780253843, min values: 1.0786e-06, max values: 38.39, median values: 0.16859, and quantile values: 0.25 0.057197\n0.50 0.168590\n0.75 0.730505\nName: 10154, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4488112300647797, std values: 4.785846613215186, min values: 2.951e-06, max values: 40.17, median values: 0.21558, and quantile values: 0.25 0.063979\n0.50 0.215580\n0.75 0.879145\nName: 10155, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4805837321945283, std values: 4.908331345110027, min values: 1.9143e-07, max values: 40.316, median values: 0.22506, and quantile values: 0.25 0.059278\n0.50 0.225060\n0.75 0.912735\nName: 10156, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7118367052606918, std values: 4.984990308905574, min values: 8.0685e-07, max values: 38.587, median values: 0.29174, and quantile values: 0.25 0.077151\n0.50 0.291740\n0.75 1.131500\nName: 10157, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4994983383660379, std values: 4.892809084377421, min values: 3.9277e-06, max values: 39.892, median values: 0.23482, and quantile values: 0.25 0.063167\n0.50 0.234820\n0.75 0.933570\nName: 10158, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5842905789792454, std values: 4.84102352081292, min values: 3.9938e-06, max values: 40.074, median values: 0.26691, and quantile values: 0.25 0.073412\n0.50 0.266910\n0.75 1.034900\nName: 10159, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.398665915948805, std values: 4.901501945882728, min values: 3.0566e-07, max values: 40.841, median values: 0.18107, and quantile values: 0.25 0.04860\n0.50 0.18107\n0.75 0.75670\nName: 10160, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3392831565602517, std values: 4.944078809588038, min values: 9.5698e-07, max values: 40.516, median values: 0.14339, and quantile values: 0.25 0.049046\n0.50 0.143390\n0.75 0.694515\nName: 10161, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7758279294119492, std values: 5.076347747029375, min values: 1.0349e-06, max values: 39.904, median values: 0.32107, and quantile values: 0.25 0.080193\n0.50 0.321070\n0.75 1.271550\nName: 10162, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.560327617636352, std values: 5.018959719509171, min values: 5.9328e-07, max values: 41.843, median values: 0.25408, and quantile values: 0.25 0.065489\n0.50 0.254080\n0.75 0.996015\nName: 10163, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5666476434710692, std values: 4.935025569321143, min values: 1.217e-06, max values: 38.929, median values: 0.26619, and quantile values: 0.25 0.067588\n0.50 0.266190\n0.75 1.017700\nName: 10164, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4292533089578614, std values: 4.97734363842553, min values: 1.1419e-06, max values: 41.437, median values: 0.21054, and quantile values: 0.25 0.059505\n0.50 0.210540\n0.75 0.795530\nName: 10165, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5582438707207544, std values: 5.136945103161339, min values: 2.6847e-06, max values: 41.468, median values: 0.25285, and quantile values: 0.25 0.072366\n0.50 0.252850\n0.75 0.929200\nName: 10166, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3241266912494842, std values: 4.600071623814058, min values: 2.2668e-08, max values: 37.883, median values: 0.18504, and quantile values: 0.25 0.052117\n0.50 0.185040\n0.75 0.802410\nName: 10167, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4045086665072326, std values: 4.752815945007642, min values: 4.1555e-07, max values: 38.505, median values: 0.20776, and quantile values: 0.25 0.057067\n0.50 0.207760\n0.75 0.829405\nName: 10168, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3496463105853458, std values: 4.597481866079123, min values: 7.1747e-07, max values: 36.775, median values: 0.19477, and quantile values: 0.25 0.055965\n0.50 0.194770\n0.75 0.788650\nName: 10169, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4633119461426858, std values: 4.8132696834703985, min values: 2.5087e-08, max values: 38.678, median values: 0.196, and quantile values: 0.25 0.056648\n0.50 0.196000\n0.75 0.916345\nName: 10170, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.227431237162453, std values: 4.479370241456135, min values: 5.5453e-07, max values: 37.173, median values: 0.15957, and quantile values: 0.25 0.050874\n0.50 0.159570\n0.75 0.689365\nName: 10171, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2270323158169814, std values: 4.634984797964391, min values: 1.599e-06, max values: 39.456, median values: 0.15018, and quantile values: 0.25 0.04231\n0.50 0.15018\n0.75 0.55037\nName: 10172, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.48807805454717, std values: 4.795932742150713, min values: 1.2909e-06, max values: 39.197, median values: 0.22459, and quantile values: 0.25 0.065385\n0.50 0.224590\n0.75 0.980565\nName: 10173, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5426907230247608, std values: 5.067385716649546, min values: 2.6667e-08, max values: 43.207, median values: 0.21811, and quantile values: 0.25 0.052631\n0.50 0.218110\n0.75 0.986185\nName: 10174, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6046024329992452, std values: 5.203114192561919, min values: 7.5558e-07, max values: 44.512, median values: 0.22528, and quantile values: 0.25 0.068579\n0.50 0.225280\n0.75 1.051850\nName: 10175, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5085146437199373, std values: 4.963255424020506, min values: 8.1407e-07, max values: 40.953, median values: 0.22426, and quantile values: 0.25 0.068103\n0.50 0.224260\n0.75 0.934535\nName: 10176, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4618552259748427, std values: 4.755979663709855, min values: 6.54e-07, max values: 37.443, median values: 0.21748, and quantile values: 0.25 0.055872\n0.50 0.217480\n0.75 0.819225\nName: 10177, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.444872030503585, std values: 4.722483752914986, min values: 2.0747e-07, max values: 37.146, median values: 0.23084, and quantile values: 0.25 0.058554\n0.50 0.230840\n0.75 0.888850\nName: 10178, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4787837483257862, std values: 4.809874015564939, min values: 1.2795e-06, max values: 38.214, median values: 0.24057, and quantile values: 0.25 0.065741\n0.50 0.240570\n0.75 0.897175\nName: 10179, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3610127700962706, std values: 4.7585448345965915, min values: 1.3283e-08, max values: 40.392, median values: 0.15165, and quantile values: 0.25 0.028481\n0.50 0.151650\n0.75 0.699670\nName: 10180, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6909408040044023, std values: 5.15393859068169, min values: 2.4382e-06, max values: 41.421, median values: 0.28985, and quantile values: 0.25 0.084609\n0.50 0.289850\n0.75 1.160700\nName: 10181, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5604425993937108, std values: 5.0265282953789265, min values: 2.9328e-06, max values: 40.328, median values: 0.26259, and quantile values: 0.25 0.07073\n0.50 0.26259\n0.75 0.98193\nName: 10182, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3678019120368554, std values: 4.912713511603653, min values: 5.0216e-07, max values: 41.493, median values: 0.1848, and quantile values: 0.25 0.051016\n0.50 0.184800\n0.75 0.768585\nName: 10183, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.547749886699371, std values: 4.864855625173421, min values: 7.592e-07, max values: 38.528, median values: 0.24205, and quantile values: 0.25 0.070978\n0.50 0.242050\n0.75 1.044935\nName: 10184, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5107255672069182, std values: 4.862401316611452, min values: 1.4678e-06, max values: 38.308, median values: 0.2232, and quantile values: 0.25 0.071761\n0.50 0.223200\n0.75 0.893685\nName: 10185, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9890036733264151, std values: 5.527955985214626, min values: 7.8979e-06, max values: 41.76, median values: 0.37509, and quantile values: 0.25 0.105315\n0.50 0.375090\n0.75 1.274800\nName: 10186, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4658388979094341, std values: 5.287357666082592, min values: 4.1761e-06, max values: 44.228, median values: 0.2154, and quantile values: 0.25 0.060363\n0.50 0.215400\n0.75 0.756360\nName: 10187, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3388368115257232, std values: 4.799069877595009, min values: 5.7669e-07, max values: 39.61, median values: 0.19794, and quantile values: 0.25 0.055507\n0.50 0.197940\n0.75 0.741285\nName: 10188, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5213097192094338, std values: 4.920135304818827, min values: 1.6176e-06, max values: 38.833, median values: 0.26085, and quantile values: 0.25 0.070666\n0.50 0.260850\n0.75 0.950700\nName: 10189, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3892771097358492, std values: 4.669000462175454, min values: 1.0649e-06, max values: 38.116, median values: 0.21696, and quantile values: 0.25 0.076614\n0.50 0.216960\n0.75 0.787875\nName: 10190, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4139322340529559, std values: 5.157405710677054, min values: 5.8542e-07, max values: 45.187, median values: 0.1949, and quantile values: 0.25 0.061611\n0.50 0.194900\n0.75 0.719320\nName: 10191, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6320434177685534, std values: 4.924658550017571, min values: 4.4288e-06, max values: 40.392, median values: 0.28219, and quantile values: 0.25 0.09074\n0.50 0.28219\n0.75 1.03420\nName: 10192, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.347546684818868, std values: 4.585495787466364, min values: 1.2036e-06, max values: 38.073, median values: 0.19949, and quantile values: 0.25 0.064329\n0.50 0.199490\n0.75 0.772015\nName: 10193, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.451458692633497, std values: 4.660283832387662, min values: 3.7196e-08, max values: 36.416, median values: 0.2565, and quantile values: 0.25 0.052184\n0.50 0.256500\n0.75 1.026600\nName: 10194, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3133776625496225, std values: 4.6236340769743665, min values: 1.4859e-07, max values: 37.167, median values: 0.16679, and quantile values: 0.25 0.046450\n0.50 0.166790\n0.75 0.713815\nName: 10195, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.604320455374843, std values: 5.038796769502588, min values: 2.1416e-06, max values: 40.694, median values: 0.27128, and quantile values: 0.25 0.078351\n0.50 0.271280\n0.75 1.078100\nName: 10196, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7541370309937734, std values: 5.132785741042623, min values: 5.6061e-07, max values: 41.305, median values: 0.31667, and quantile values: 0.25 0.072361\n0.50 0.316670\n0.75 1.242850\nName: 10197, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6009131664387424, std values: 5.004609969816726, min values: 5.8646e-07, max values: 40.46, median values: 0.25585, and quantile values: 0.25 0.075165\n0.50 0.255850\n0.75 1.015990\nName: 10198, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3424016759650943, std values: 4.709402050590883, min values: 3.9975e-07, max values: 37.939, median values: 0.19681, and quantile values: 0.25 0.055748\n0.50 0.196810\n0.75 0.779665\nName: 10199, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5254886600262891, std values: 4.836529822170057, min values: 9.2348e-07, max values: 38.003, median values: 0.24333, and quantile values: 0.25 0.063359\n0.50 0.243330\n0.75 1.000945\nName: 10200, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6133770543613837, std values: 4.9342194455529285, min values: 7.2946e-07, max values: 38.794, median values: 0.25925, and quantile values: 0.25 0.060803\n0.50 0.259250\n0.75 1.127550\nName: 10201, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7354931660427673, std values: 5.057484925801992, min values: 6.4578e-06, max values: 39.877, median values: 0.29981, and quantile values: 0.25 0.099919\n0.50 0.299810\n0.75 1.061350\nName: 10202, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3693252952868302, std values: 4.637801480075744, min values: 1.8326e-08, max values: 36.504, median values: 0.13408, and quantile values: 0.25 0.037918\n0.50 0.134080\n0.75 0.717440\nName: 10203, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4068152887213208, std values: 4.955607853504509, min values: 4.4973e-07, max values: 41.364, median values: 0.17229, and quantile values: 0.25 0.041594\n0.50 0.172290\n0.75 0.740430\nName: 10204, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4552311360232704, std values: 4.696453448833287, min values: 1.8291e-06, max values: 38.546, median values: 0.2375, and quantile values: 0.25 0.071914\n0.50 0.237500\n0.75 0.909005\nName: 10205, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.616756257593541, std values: 5.018656108433618, min values: 3.6053e-08, max values: 41.926, median values: 0.21424, and quantile values: 0.25 0.047161\n0.50 0.214240\n0.75 1.064650\nName: 10206, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.545826559503698, std values: 5.061954078661193, min values: 3.0128e-08, max values: 43.79, median values: 0.25663, and quantile values: 0.25 0.062222\n0.50 0.256630\n0.75 0.955970\nName: 10207, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3748905567767296, std values: 4.7662032293038, min values: 1.0959e-06, max values: 38.692, median values: 0.19052, and quantile values: 0.25 0.049905\n0.50 0.190520\n0.75 0.743855\nName: 10208, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4857170393553458, std values: 5.046983167364517, min values: 1.7339e-06, max values: 41.85, median values: 0.23065, and quantile values: 0.25 0.062234\n0.50 0.230650\n0.75 0.914410\nName: 10209, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6119610039222638, std values: 5.1158109505017135, min values: 6.5474e-07, max values: 43.337, median values: 0.25666, and quantile values: 0.25 0.074065\n0.50 0.256660\n0.75 1.043150\nName: 10210, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2614914525207546, std values: 4.707349219722689, min values: 9.382e-07, max values: 38.064, median values: 0.16614, and quantile values: 0.25 0.052153\n0.50 0.166140\n0.75 0.648530\nName: 10211, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5206153755695597, std values: 4.94132759690223, min values: 4.9729e-07, max values: 41.212, median values: 0.19737, and quantile values: 0.25 0.051952\n0.50 0.197370\n0.75 0.817075\nName: 10212, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4359606716239626, std values: 4.6713545294275, min values: 3.5581e-07, max values: 37.441, median values: 0.21111, and quantile values: 0.25 0.058054\n0.50 0.211110\n0.75 0.875090\nName: 10213, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3174282957216978, std values: 4.818024668034653, min values: 4.5645e-07, max values: 39.424, median values: 0.18394, and quantile values: 0.25 0.053558\n0.50 0.183940\n0.75 0.695090\nName: 10214, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5548087254606289, std values: 4.831450248589158, min values: 2.5684e-07, max values: 38.063, median values: 0.21431, and quantile values: 0.25 0.059113\n0.50 0.214310\n0.75 1.018525\nName: 10215, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2106517775584906, std values: 4.641477546458442, min values: 2.008e-06, max values: 38.85, median values: 0.14726, and quantile values: 0.25 0.050162\n0.50 0.147260\n0.75 0.612430\nName: 10216, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5040066501528302, std values: 5.2371973669679495, min values: 2.1935e-06, max values: 44.805, median values: 0.21891, and quantile values: 0.25 0.065637\n0.50 0.218910\n0.75 0.852145\nName: 10217, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.456971170169182, std values: 4.814792782512481, min values: 1.1725e-06, max values: 38.919, median values: 0.23211, and quantile values: 0.25 0.061710\n0.50 0.232110\n0.75 0.820205\nName: 10218, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5685173518202518, std values: 5.108090482760917, min values: 1.3552e-07, max values: 43.617, median values: 0.2215, and quantile values: 0.25 0.059662\n0.50 0.221500\n0.75 0.965030\nName: 10219, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.702830352480503, std values: 5.166938755231378, min values: 3.2708e-06, max values: 41.213, median values: 0.30953, and quantile values: 0.25 0.07487\n0.50 0.30953\n0.75 1.18345\nName: 10220, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7692840464641508, std values: 5.417490259073644, min values: 2.6103e-06, max values: 45.735, median values: 0.32202, and quantile values: 0.25 0.081773\n0.50 0.322020\n0.75 1.145100\nName: 10221, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5123099944754719, std values: 4.987889853436709, min values: 4.4852e-06, max values: 39.991, median values: 0.24867, and quantile values: 0.25 0.064116\n0.50 0.248670\n0.75 0.807550\nName: 10222, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.481925480440063, std values: 4.895644729863505, min values: 1.6674e-07, max values: 40.816, median values: 0.21756, and quantile values: 0.25 0.054831\n0.50 0.217560\n0.75 0.902020\nName: 10223, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5436182201943396, std values: 4.9682098952906095, min values: 2.416e-07, max values: 41.07, median values: 0.22286, and quantile values: 0.25 0.062061\n0.50 0.222860\n0.75 1.001415\nName: 10224, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5628856236004403, std values: 5.091301260053642, min values: 4.6647e-07, max values: 42.854, median values: 0.24298, and quantile values: 0.25 0.072779\n0.50 0.242980\n0.75 1.056490\nName: 10225, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3035010603122013, std values: 4.693599029844805, min values: 0.0, max values: 38.132, median values: 0.15391, and quantile values: 0.25 0.039953\n0.50 0.153910\n0.75 0.678725\nName: 10226, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5238170672578615, std values: 4.875816954609895, min values: 2.647e-06, max values: 38.853, median values: 0.24001, and quantile values: 0.25 0.079952\n0.50 0.240010\n0.75 0.941910\nName: 10227, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3983108120440253, std values: 5.229759320347847, min values: 3.1803e-06, max values: 44.823, median values: 0.18321, and quantile values: 0.25 0.054797\n0.50 0.183210\n0.75 0.730780\nName: 10228, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3992644255215787, std values: 4.837638763902673, min values: 1.4231e-08, max values: 39.773, median values: 0.18285, and quantile values: 0.25 0.049403\n0.50 0.182850\n0.75 0.844290\nName: 10229, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3670069991561635, std values: 4.80819335279644, min values: 1.1973e-07, max values: 39.23, median values: 0.1545, and quantile values: 0.25 0.047256\n0.50 0.154500\n0.75 0.782590\nName: 10230, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4412267215578616, std values: 5.0131444161756376, min values: 6.244e-07, max values: 42.296, median values: 0.19163, and quantile values: 0.25 0.053114\n0.50 0.191630\n0.75 0.795155\nName: 10231, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3219787652245911, std values: 4.691303110261407, min values: 3.9721e-07, max values: 37.455, median values: 0.20417, and quantile values: 0.25 0.050503\n0.50 0.204170\n0.75 0.734340\nName: 10232, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2482100566100627, std values: 4.600909845242639, min values: 1.0642e-06, max values: 38.313, median values: 0.16562, and quantile values: 0.25 0.054785\n0.50 0.165620\n0.75 0.700735\nName: 10233, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6710156651962265, std values: 5.080114528649863, min values: 5.0136e-06, max values: 41.071, median values: 0.27235, and quantile values: 0.25 0.07507\n0.50 0.27235\n0.75 1.03190\nName: 10234, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4923340365021385, std values: 4.903333872491285, min values: 1.6064e-07, max values: 40.277, median values: 0.20069, and quantile values: 0.25 0.052745\n0.50 0.200690\n0.75 0.939015\nName: 10235, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4796578325477987, std values: 5.016319436323321, min values: 1.7102e-06, max values: 41.239, median values: 0.24993, and quantile values: 0.25 0.059618\n0.50 0.249930\n0.75 0.855565\nName: 10236, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5225890535672957, std values: 4.812839629690552, min values: 1.0504e-06, max values: 38.927, median values: 0.23377, and quantile values: 0.25 0.071969\n0.50 0.233770\n0.75 0.954005\nName: 10237, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8291203698503145, std values: 5.032754477930122, min values: 1.4996e-06, max values: 38.371, median values: 0.32276, and quantile values: 0.25 0.093866\n0.50 0.322760\n0.75 1.263200\nName: 10238, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4312824736572327, std values: 5.026734774606195, min values: 2.343e-06, max values: 40.463, median values: 0.20872, and quantile values: 0.25 0.062349\n0.50 0.208720\n0.75 0.769385\nName: 10239, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5161523520528302, std values: 4.8571178646905775, min values: 2.9199e-06, max values: 39.395, median values: 0.24181, and quantile values: 0.25 0.074652\n0.50 0.241810\n0.75 0.894045\nName: 10240, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5622912477509432, std values: 4.970281095695891, min values: 2.2296e-06, max values: 39.413, median values: 0.24799, and quantile values: 0.25 0.067957\n0.50 0.247990\n0.75 1.011340\nName: 10241, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4482787487807736, std values: 4.730760095192203, min values: 1.7903e-08, max values: 37.64, median values: 0.19431, and quantile values: 0.25 0.05211\n0.50 0.19431\n0.75 0.85648\nName: 10242, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.559471435099453, std values: 4.869186011345689, min values: 1.9613e-08, max values: 38.653, median values: 0.20771, and quantile values: 0.25 0.060413\n0.50 0.207710\n0.75 0.991545\nName: 10243, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.312800395407855, std values: 4.605636287467171, min values: 1.7469e-08, max values: 36.387, median values: 0.16966, and quantile values: 0.25 0.037475\n0.50 0.169660\n0.75 0.690930\nName: 10244, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4354838453562895, std values: 4.805781580846854, min values: 6.2725e-07, max values: 38.912, median values: 0.23302, and quantile values: 0.25 0.072646\n0.50 0.233020\n0.75 0.876320\nName: 10245, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.814247762720126, std values: 5.2226284701569305, min values: 1.3701e-06, max values: 42.024, median values: 0.29481, and quantile values: 0.25 0.079034\n0.50 0.294810\n0.75 1.221800\nName: 10246, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8092322419874214, std values: 5.156795167836255, min values: 5.5361e-06, max values: 40.596, median values: 0.31886, and quantile values: 0.25 0.087552\n0.50 0.318860\n0.75 1.162750\nName: 10247, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4839165702440251, std values: 4.945422788448083, min values: 3.6245e-06, max values: 40.373, median values: 0.22626, and quantile values: 0.25 0.068846\n0.50 0.226260\n0.75 0.838520\nName: 10248, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6514934508150942, std values: 4.998820090938511, min values: 1.77e-06, max values: 40.093, median values: 0.29035, and quantile values: 0.25 0.083608\n0.50 0.290350\n0.75 1.106850\nName: 10249, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4631565660238994, std values: 5.1329829579841695, min values: 3.5445e-06, max values: 41.313, median values: 0.23057, and quantile values: 0.25 0.066971\n0.50 0.230570\n0.75 0.761745\nName: 10250, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.407906684589497, std values: 4.866114393862019, min values: 2.5386e-08, max values: 41.723, median values: 0.18502, and quantile values: 0.25 0.037754\n0.50 0.185020\n0.75 0.786615\nName: 10251, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4594521593953773, std values: 4.700776847768788, min values: 4.8265e-08, max values: 37.623, median values: 0.22263, and quantile values: 0.25 0.058625\n0.50 0.222630\n0.75 0.907935\nName: 10252, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5690493317037737, std values: 5.283824482862357, min values: 4.807e-06, max values: 42.974, median values: 0.25811, and quantile values: 0.25 0.064178\n0.50 0.258110\n0.75 0.894510\nName: 10253, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3404847051801259, std values: 4.728457826162909, min values: 4.9804e-07, max values: 38.113, median values: 0.19197, and quantile values: 0.25 0.052071\n0.50 0.191970\n0.75 0.789555\nName: 10254, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.619991615997484, std values: 5.0249332949842085, min values: 2.7215e-06, max values: 39.577, median values: 0.2758, and quantile values: 0.25 0.071474\n0.50 0.275800\n0.75 1.085900\nName: 10255, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3958569029371068, std values: 4.8761301295784705, min values: 9.528e-07, max values: 39.829, median values: 0.19508, and quantile values: 0.25 0.057197\n0.50 0.195080\n0.75 0.792705\nName: 10256, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.53049017447044, std values: 5.025047385714571, min values: 4.3136e-06, max values: 40.43, median values: 0.26563, and quantile values: 0.25 0.080044\n0.50 0.265630\n0.75 0.824225\nName: 10257, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7023256139578617, std values: 4.901601982406581, min values: 1.0505e-06, max values: 37.975, median values: 0.2864, and quantile values: 0.25 0.073819\n0.50 0.286400\n0.75 1.216250\nName: 10258, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5507109022792454, std values: 5.212709531098815, min values: 3.209e-06, max values: 42.697, median values: 0.25067, and quantile values: 0.25 0.064692\n0.50 0.250670\n0.75 0.894260\nName: 10259, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6336835929987419, std values: 5.191266584286495, min values: 2.8867e-06, max values: 42.928, median values: 0.29687, and quantile values: 0.25 0.074421\n0.50 0.296870\n0.75 1.031935\nName: 10260, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5667380803751447, std values: 5.0672012103726765, min values: 1.7648e-08, max values: 42.442, median values: 0.21967, and quantile values: 0.25 0.057106\n0.50 0.219670\n0.75 0.955395\nName: 10261, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.524145990009434, std values: 5.090127909863133, min values: 3.4529e-06, max values: 40.734, median values: 0.25199, and quantile values: 0.25 0.075334\n0.50 0.251990\n0.75 0.867435\nName: 10262, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6486772772327043, std values: 5.149438041358279, min values: 3.4594e-06, max values: 41.757, median values: 0.26915, and quantile values: 0.25 0.074523\n0.50 0.269150\n0.75 1.087200\nName: 10263, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4936093358905662, std values: 5.101818025503386, min values: 5.8802e-06, max values: 41.469, median values: 0.23138, and quantile values: 0.25 0.063443\n0.50 0.231380\n0.75 0.765205\nName: 10264, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4064869082572324, std values: 4.857686910756169, min values: 2.5811e-06, max values: 39.992, median values: 0.21327, and quantile values: 0.25 0.060714\n0.50 0.213270\n0.75 0.803535\nName: 10265, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4995905257544655, std values: 4.890404366439702, min values: 8.6986e-07, max values: 38.968, median values: 0.21896, and quantile values: 0.25 0.061097\n0.50 0.218960\n0.75 0.931030\nName: 10266, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6303885662924527, std values: 4.890955447357249, min values: 3.3279e-06, max values: 39.333, median values: 0.27587, and quantile values: 0.25 0.084562\n0.50 0.275870\n0.75 1.050050\nName: 10267, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.279017005192371, std values: 4.765612927964784, min values: 2.2387e-08, max values: 39.381, median values: 0.13599, and quantile values: 0.25 0.03548\n0.50 0.13599\n0.75 0.62736\nName: 10268, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2784101834825785, std values: 4.504513518989392, min values: 2.2133e-07, max values: 38.068, median values: 0.15851, and quantile values: 0.25 0.045710\n0.50 0.158510\n0.75 0.745095\nName: 10269, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.695262621553459, std values: 5.202345915340692, min values: 6.463e-06, max values: 40.911, median values: 0.27581, and quantile values: 0.25 0.078892\n0.50 0.275810\n0.75 1.063800\nName: 10270, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.382467855466038, std values: 4.7974664153215425, min values: 2.4577e-06, max values: 39.834, median values: 0.23136, and quantile values: 0.25 0.063252\n0.50 0.231360\n0.75 0.815575\nName: 10271, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3888086957530819, std values: 4.859691823318816, min values: 3.4734e-07, max values: 40.213, median values: 0.18376, and quantile values: 0.25 0.05520\n0.50 0.18376\n0.75 0.82280\nName: 10272, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4113096004101764, std values: 4.7403192913683725, min values: 2.6838e-08, max values: 38.033, median values: 0.20771, and quantile values: 0.25 0.046319\n0.50 0.207710\n0.75 0.785825\nName: 10273, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.555617990308742, std values: 5.125317527036085, min values: 2.8799e-07, max values: 44.167, median values: 0.2373, and quantile values: 0.25 0.067394\n0.50 0.237300\n0.75 1.036600\nName: 10274, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1105449217792767, std values: 4.365030683460231, min values: 2.5495e-08, max values: 36.483, median values: 0.125, and quantile values: 0.25 0.033007\n0.50 0.125000\n0.75 0.520980\nName: 10275, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5739621138710693, std values: 5.066870107078221, min values: 3.6297e-06, max values: 40.236, median values: 0.23254, and quantile values: 0.25 0.078890\n0.50 0.232540\n0.75 0.952895\nName: 10276, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4965317811952832, std values: 4.921813010155234, min values: 7.0835e-07, max values: 40.646, median values: 0.19224, and quantile values: 0.25 0.060159\n0.50 0.192240\n0.75 0.869345\nName: 10277, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5666172556051572, std values: 5.0630288520089435, min values: 6.7182e-07, max values: 42.715, median values: 0.25425, and quantile values: 0.25 0.059105\n0.50 0.254250\n0.75 1.005460\nName: 10278, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8225621567455847, std values: 5.194621759483909, min values: 2.9948e-08, max values: 42.217, median values: 0.32037, and quantile values: 0.25 0.075309\n0.50 0.320370\n0.75 1.333700\nName: 10279, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3822605532535852, std values: 4.778103262740411, min values: 8.4092e-07, max values: 38.242, median values: 0.20896, and quantile values: 0.25 0.057813\n0.50 0.208960\n0.75 0.829455\nName: 10280, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2882962362144654, std values: 4.569591092037249, min values: 3.535e-07, max values: 36.82, median values: 0.15031, and quantile values: 0.25 0.049813\n0.50 0.150310\n0.75 0.702970\nName: 10281, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7591812073761008, std values: 4.96055063481694, min values: 5.765e-07, max values: 38.007, median values: 0.32198, and quantile values: 0.25 0.08929\n0.50 0.32198\n0.75 1.26910\nName: 10282, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2824716540196353, std values: 4.576733940822818, min values: 2.5372e-08, max values: 36.516, median values: 0.14844, and quantile values: 0.25 0.038037\n0.50 0.148440\n0.75 0.686390\nName: 10283, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4811454950188678, std values: 4.728849741383271, min values: 1.0867e-06, max values: 38.13, median values: 0.25343, and quantile values: 0.25 0.066353\n0.50 0.253430\n0.75 0.926725\nName: 10284, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4649882937527925, std values: 4.620311319323638, min values: 2.1714e-08, max values: 36.678, median values: 0.191, and quantile values: 0.25 0.048624\n0.50 0.191000\n0.75 0.989515\nName: 10285, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7111236227566036, std values: 4.948920227985788, min values: 7.5223e-06, max values: 41.048, median values: 0.29591, and quantile values: 0.25 0.084574\n0.50 0.295910\n0.75 1.091700\nName: 10286, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4011233638645284, std values: 4.836370743574294, min values: 6.4166e-07, max values: 39.707, median values: 0.20118, and quantile values: 0.25 0.05884\n0.50 0.20118\n0.75 0.85497\nName: 10287, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.509670502376698, std values: 5.139346629635025, min values: 2.3495e-08, max values: 45.005, median values: 0.21163, and quantile values: 0.25 0.06250\n0.50 0.21163\n0.75 0.93966\nName: 10288, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.533433486662264, std values: 5.274844058865003, min values: 3.3711e-06, max values: 43.338, median values: 0.22434, and quantile values: 0.25 0.065027\n0.50 0.224340\n0.75 0.781500\nName: 10289, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4152784642925282, std values: 4.745203897249305, min values: 8.1632e-08, max values: 38.682, median values: 0.22288, and quantile values: 0.25 0.046858\n0.50 0.222880\n0.75 0.808110\nName: 10290, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5530063227572326, std values: 5.125806723070354, min values: 3.0532e-06, max values: 42.014, median values: 0.23629, and quantile values: 0.25 0.073571\n0.50 0.236290\n0.75 0.961540\nName: 10291, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7317690797572327, std values: 5.1447977618494445, min values: 5.974e-07, max values: 42.422, median values: 0.30229, and quantile values: 0.25 0.071148\n0.50 0.302290\n0.75 1.228500\nName: 10292, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4256037024838992, std values: 4.807063784885835, min values: 3.5824e-07, max values: 38.515, median values: 0.21713, and quantile values: 0.25 0.05196\n0.50 0.21713\n0.75 0.87951\nName: 10293, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.420314526609434, std values: 5.1209799975414905, min values: 3.822e-07, max values: 45.006, median values: 0.17309, and quantile values: 0.25 0.048676\n0.50 0.173090\n0.75 0.790705\nName: 10294, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.598076609726415, std values: 4.758144527448544, min values: 4.8835e-06, max values: 40.436, median values: 0.26328, and quantile values: 0.25 0.076863\n0.50 0.263280\n0.75 1.067800\nName: 10295, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5428910236855347, std values: 5.000129775237869, min values: 1.547e-06, max values: 39.72, median values: 0.22127, and quantile values: 0.25 0.058655\n0.50 0.221270\n0.75 0.968220\nName: 10296, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4664331792742138, std values: 4.834600789689467, min values: 3.3081e-06, max values: 40.253, median values: 0.22657, and quantile values: 0.25 0.059456\n0.50 0.226570\n0.75 0.919785\nName: 10297, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4929275040139622, std values: 5.029540614763981, min values: 4.1522e-07, max values: 42.565, median values: 0.21818, and quantile values: 0.25 0.058317\n0.50 0.218180\n0.75 0.857360\nName: 10298, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5490710382314277, std values: 5.295259097911886, min values: 2.6595e-08, max values: 48.173, median values: 0.17812, and quantile values: 0.25 0.044591\n0.50 0.178120\n0.75 0.864765\nName: 10299, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4191917645716983, std values: 4.707149327785199, min values: 1.3208e-06, max values: 38.478, median values: 0.19089, and quantile values: 0.25 0.061610\n0.50 0.190890\n0.75 0.873655\nName: 10300, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6413764988777986, std values: 4.947234978506566, min values: 4.7797e-07, max values: 38.816, median values: 0.28073, and quantile values: 0.25 0.068344\n0.50 0.280730\n0.75 1.073800\nName: 10301, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4775854702408806, std values: 4.858041934511086, min values: 2.4993e-06, max values: 39.509, median values: 0.22119, and quantile values: 0.25 0.062271\n0.50 0.221190\n0.75 0.872220\nName: 10302, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2143621288735849, std values: 4.744491018117212, min values: 1.4181e-06, max values: 38.623, median values: 0.12684, and quantile values: 0.25 0.040399\n0.50 0.126840\n0.75 0.535730\nName: 10303, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.605325056566038, std values: 5.231464245451305, min values: 2.1168e-06, max values: 43.658, median values: 0.27693, and quantile values: 0.25 0.067820\n0.50 0.276930\n0.75 1.007275\nName: 10304, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3135490911713836, std values: 4.5883358775756, min values: 1.7125e-07, max values: 37.395, median values: 0.18637, and quantile values: 0.25 0.052476\n0.50 0.186370\n0.75 0.756395\nName: 10305, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3991067300444777, std values: 4.815631849117729, min values: 1.8572e-08, max values: 39.54, median values: 0.20108, and quantile values: 0.25 0.053081\n0.50 0.201080\n0.75 0.799130\nName: 10306, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7177405851778615, std values: 5.0887144264866855, min values: 6.5048e-07, max values: 41.556, median values: 0.24365, and quantile values: 0.25 0.070284\n0.50 0.243650\n0.75 1.121450\nName: 10307, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7450806776270442, std values: 5.042014566125702, min values: 4.746e-07, max values: 40.18, median values: 0.30649, and quantile values: 0.25 0.074988\n0.50 0.306490\n0.75 1.240100\nName: 10308, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7317819267540882, std values: 5.170438787036167, min values: 2.5356e-06, max values: 41.217, median values: 0.30297, and quantile values: 0.25 0.077861\n0.50 0.302970\n0.75 1.181550\nName: 10309, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5531757996855347, std values: 4.9543851435914235, min values: 2.3681e-06, max values: 39.399, median values: 0.25418, and quantile values: 0.25 0.067408\n0.50 0.254180\n0.75 1.009790\nName: 10310, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.43439697851761, std values: 4.915296856824535, min values: 1.4616e-06, max values: 39.47, median values: 0.203, and quantile values: 0.25 0.058428\n0.50 0.203000\n0.75 0.823890\nName: 10311, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4270509142119496, std values: 4.964411544065234, min values: 2.7679e-06, max values: 40.072, median values: 0.20439, and quantile values: 0.25 0.061657\n0.50 0.204390\n0.75 0.848715\nName: 10312, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6255390107299998, std values: 4.996341246826291, min values: 3.8467e-07, max values: 40.156, median values: 0.2689, and quantile values: 0.25 0.066448\n0.50 0.268900\n0.75 1.079600\nName: 10313, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4027407575183646, std values: 5.010816238718376, min values: 1.7609e-07, max values: 43.103, median values: 0.17191, and quantile values: 0.25 0.044522\n0.50 0.171910\n0.75 0.770225\nName: 10314, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3489704405757863, std values: 4.89615850780326, min values: 9.7295e-07, max values: 40.346, median values: 0.18483, and quantile values: 0.25 0.054260\n0.50 0.184830\n0.75 0.745955\nName: 10315, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7099042242735851, std values: 5.102002122927399, min values: 1.9978e-06, max values: 40.317, median values: 0.28195, and quantile values: 0.25 0.079284\n0.50 0.281950\n0.75 1.182300\nName: 10316, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5797778449584905, std values: 4.942369006600202, min values: 2.1147e-06, max values: 39.258, median values: 0.27013, and quantile values: 0.25 0.067718\n0.50 0.270130\n0.75 1.090400\nName: 10317, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7032453598270443, std values: 5.093443488219496, min values: 4.7948e-06, max values: 40.481, median values: 0.32221, and quantile values: 0.25 0.087533\n0.50 0.322210\n0.75 1.014150\nName: 10318, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5698386485289244, std values: 4.885269442878307, min values: 2.8579e-08, max values: 39.717, median values: 0.21491, and quantile values: 0.25 0.058328\n0.50 0.214910\n0.75 1.064000\nName: 10319, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5410271568993712, std values: 4.844971912316229, min values: 1.3093e-06, max values: 38.916, median values: 0.25947, and quantile values: 0.25 0.059535\n0.50 0.259470\n0.75 0.980160\nName: 10320, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5052079811397108, std values: 5.043437356365443, min values: 4.3514e-08, max values: 43.063, median values: 0.21108, and quantile values: 0.25 0.063204\n0.50 0.211080\n0.75 0.956680\nName: 10321, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5579166510138365, std values: 5.142696910830259, min values: 4.8115e-06, max values: 41.075, median values: 0.24139, and quantile values: 0.25 0.070767\n0.50 0.241390\n0.75 0.897290\nName: 10322, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5239572959484278, std values: 4.760573372430543, min values: 1.4417e-06, max values: 38.781, median values: 0.26636, and quantile values: 0.25 0.072899\n0.50 0.266360\n0.75 1.009450\nName: 10323, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7197584048679244, std values: 5.034315752045475, min values: 2.7146e-06, max values: 39.169, median values: 0.28187, and quantile values: 0.25 0.095279\n0.50 0.281870\n0.75 1.169200\nName: 10324, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6419770566188676, std values: 5.2503734215116635, min values: 3.3063e-06, max values: 43.192, median values: 0.28053, and quantile values: 0.25 0.077149\n0.50 0.280530\n0.75 1.018955\nName: 10325, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4637374517321384, std values: 4.982459326914653, min values: 9.3861e-07, max values: 40.969, median values: 0.22328, and quantile values: 0.25 0.060138\n0.50 0.223280\n0.75 0.879380\nName: 10326, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.400581332010843, std values: 4.8448791161807305, min values: 1.5224e-08, max values: 39.512, median values: 0.17614, and quantile values: 0.25 0.056801\n0.50 0.176140\n0.75 0.853045\nName: 10327, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6058500694426918, std values: 4.878572952770162, min values: 4.4088e-08, max values: 38.077, median values: 0.27315, and quantile values: 0.25 0.067198\n0.50 0.273150\n0.75 1.101050\nName: 10328, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.385050810383019, std values: 4.743939490307794, min values: 3.885e-07, max values: 37.938, median values: 0.1935, and quantile values: 0.25 0.053961\n0.50 0.193500\n0.75 0.823220\nName: 10329, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5666971198144655, std values: 4.7981225705611665, min values: 1.1931e-06, max values: 38.266, median values: 0.25988, and quantile values: 0.25 0.072826\n0.50 0.259880\n0.75 0.974645\nName: 10330, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4102069190377358, std values: 4.969317994910261, min values: 1.4004e-06, max values: 39.438, median values: 0.16208, and quantile values: 0.25 0.051254\n0.50 0.162080\n0.75 0.763440\nName: 10331, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4990028986426414, std values: 4.901694170589035, min values: 3.6248e-07, max values: 39.241, median values: 0.23051, and quantile values: 0.25 0.060718\n0.50 0.230510\n0.75 0.878915\nName: 10332, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5228012683918237, std values: 4.7499762122800595, min values: 2.421e-07, max values: 37.641, median values: 0.21386, and quantile values: 0.25 0.060004\n0.50 0.213860\n0.75 1.042450\nName: 10333, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4038902443798742, std values: 4.724847541103704, min values: 1.131e-06, max values: 38.648, median values: 0.2106, and quantile values: 0.25 0.059616\n0.50 0.210600\n0.75 0.824525\nName: 10334, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3683008446591192, std values: 4.923173596402388, min values: 1.2534e-06, max values: 40.153, median values: 0.17488, and quantile values: 0.25 0.057596\n0.50 0.174880\n0.75 0.706595\nName: 10335, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4566879446459118, std values: 4.905551568287728, min values: 2.6172e-06, max values: 39.414, median values: 0.1946, and quantile values: 0.25 0.059646\n0.50 0.194600\n0.75 0.885520\nName: 10336, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3119449792515725, std values: 4.401371062171644, min values: 1.83e-07, max values: 36.946, median values: 0.2099, and quantile values: 0.25 0.049618\n0.50 0.209900\n0.75 0.863670\nName: 10337, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5211965570025159, std values: 5.150338359334486, min values: 1.0181e-06, max values: 43.799, median values: 0.21703, and quantile values: 0.25 0.060813\n0.50 0.217030\n0.75 0.884660\nName: 10338, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3486417603777987, std values: 4.905520065568977, min values: 8.3357e-07, max values: 41.327, median values: 0.15212, and quantile values: 0.25 0.052346\n0.50 0.152120\n0.75 0.712770\nName: 10339, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6338861706969812, std values: 5.322956164721642, min values: 6.6122e-07, max values: 47.185, median values: 0.25038, and quantile values: 0.25 0.069681\n0.50 0.250380\n0.75 1.062650\nName: 10340, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5950079133522013, std values: 4.995091782722782, min values: 1.4195e-06, max values: 39.493, median values: 0.23263, and quantile values: 0.25 0.070338\n0.50 0.232630\n0.75 1.015600\nName: 10341, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7696629247855347, std values: 5.214337398435393, min values: 3.43e-06, max values: 40.654, median values: 0.28862, and quantile values: 0.25 0.084848\n0.50 0.288620\n0.75 1.214150\nName: 10342, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.440258919177805, std values: 4.863910256281418, min values: 2.9514e-08, max values: 41.578, median values: 0.17486, and quantile values: 0.25 0.040070\n0.50 0.174860\n0.75 0.804705\nName: 10343, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3199553264161636, std values: 4.443679838817638, min values: 6.7887e-07, max values: 37.258, median values: 0.21003, and quantile values: 0.25 0.058999\n0.50 0.210030\n0.75 0.755805\nName: 10344, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3419215202850945, std values: 4.8469270408663245, min values: 6.0883e-07, max values: 40.274, median values: 0.18987, and quantile values: 0.25 0.051882\n0.50 0.189870\n0.75 0.763645\nName: 10345, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5762306986468555, std values: 4.853929209320165, min values: 3.6505e-07, max values: 38.265, median values: 0.27544, and quantile values: 0.25 0.073869\n0.50 0.275440\n0.75 1.056000\nName: 10346, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5694736448968551, std values: 5.068227992110288, min values: 4.6333e-06, max values: 41.006, median values: 0.24799, and quantile values: 0.25 0.076744\n0.50 0.247990\n0.75 0.869835\nName: 10347, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4960315249943397, std values: 5.096988386173564, min values: 1.0252e-06, max values: 43.087, median values: 0.19466, and quantile values: 0.25 0.060191\n0.50 0.194660\n0.75 0.866635\nName: 10348, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.340807102420126, std values: 4.66832848289429, min values: 1.068e-06, max values: 38.179, median values: 0.19131, and quantile values: 0.25 0.052565\n0.50 0.191310\n0.75 0.783795\nName: 10349, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4530024970496858, std values: 4.762455800361365, min values: 1.9507e-06, max values: 39.196, median values: 0.2186, and quantile values: 0.25 0.062302\n0.50 0.218600\n0.75 0.908050\nName: 10350, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6087421022056603, std values: 5.016801885252911, min values: 1.0311e-06, max values: 40.565, median values: 0.24925, and quantile values: 0.25 0.072476\n0.50 0.249250\n0.75 1.072800\nName: 10351, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4593950133603775, std values: 4.864558251820103, min values: 4.736e-07, max values: 39.831, median values: 0.19786, and quantile values: 0.25 0.055779\n0.50 0.197860\n0.75 0.851280\nName: 10352, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4105055061918241, std values: 4.844983928970392, min values: 1.1134e-06, max values: 39.271, median values: 0.23913, and quantile values: 0.25 0.063492\n0.50 0.239130\n0.75 0.859250\nName: 10353, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5285184329996226, std values: 4.843876308798717, min values: 5.6454e-07, max values: 38.441, median values: 0.223, and quantile values: 0.25 0.060860\n0.50 0.223000\n0.75 1.000925\nName: 10354, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5377698899654086, std values: 4.856728259394728, min values: 1.1082e-06, max values: 38.591, median values: 0.25808, and quantile values: 0.25 0.06597\n0.50 0.25808\n0.75 1.02231\nName: 10355, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6307651808138366, std values: 5.12053892681507, min values: 1.7685e-06, max values: 42.049, median values: 0.25306, and quantile values: 0.25 0.073255\n0.50 0.253060\n0.75 1.045550\nName: 10356, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.228247486113912, std values: 4.508593619675961, min values: 1.8342e-08, max values: 37.127, median values: 0.15222, and quantile values: 0.25 0.043225\n0.50 0.152220\n0.75 0.656580\nName: 10357, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6247683407783018, std values: 4.898472245887922, min values: 5.4635e-07, max values: 38.632, median values: 0.26108, and quantile values: 0.25 0.064848\n0.50 0.261080\n0.75 1.069550\nName: 10358, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5046732113461636, std values: 4.811994937753203, min values: 5.2924e-07, max values: 38.017, median values: 0.2242, and quantile values: 0.25 0.061632\n0.50 0.224200\n0.75 0.978950\nName: 10359, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.38397354784922, std values: 4.755233540008809, min values: 1.5522e-08, max values: 39.494, median values: 0.15791, and quantile values: 0.25 0.028057\n0.50 0.157910\n0.75 0.808560\nName: 10360, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8375352846905662, std values: 5.139001571265257, min values: 1.335e-06, max values: 40.802, median values: 0.27533, and quantile values: 0.25 0.081617\n0.50 0.275330\n0.75 1.350700\nName: 10361, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.486653026355283, std values: 4.731888250729828, min values: 3.5629e-07, max values: 37.889, median values: 0.25569, and quantile values: 0.25 0.058148\n0.50 0.255690\n0.75 0.987815\nName: 10362, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4125083346949685, std values: 5.057433886660543, min values: 2.6395e-06, max values: 41.005, median values: 0.1946, and quantile values: 0.25 0.055819\n0.50 0.194600\n0.75 0.827490\nName: 10363, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4894499312571825, std values: 4.943729667882214, min values: 9.3592e-08, max values: 40.499, median values: 0.24701, and quantile values: 0.25 0.064355\n0.50 0.247010\n0.75 0.909015\nName: 10364, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3925779225817612, std values: 4.884631802108644, min values: 1.9027e-06, max values: 39.034, median values: 0.21081, and quantile values: 0.25 0.069628\n0.50 0.210810\n0.75 0.793225\nName: 10365, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5612060919264152, std values: 4.895496593103855, min values: 2.0385e-06, max values: 39.114, median values: 0.25803, and quantile values: 0.25 0.072712\n0.50 0.258030\n0.75 0.979255\nName: 10366, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5541689183540879, std values: 4.834449933699844, min values: 2.2863e-06, max values: 39.478, median values: 0.26674, and quantile values: 0.25 0.063919\n0.50 0.266740\n0.75 1.007515\nName: 10367, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5260695644691826, std values: 5.021495591802694, min values: 3.5915e-06, max values: 40.449, median values: 0.23898, and quantile values: 0.25 0.072636\n0.50 0.238980\n0.75 0.888890\nName: 10368, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.42284462562, std values: 4.858801724393759, min values: 3.1941e-07, max values: 40.78, median values: 0.19576, and quantile values: 0.25 0.051436\n0.50 0.195760\n0.75 0.844415\nName: 10369, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.63402192783522, std values: 5.187011981173608, min values: 5.3255e-06, max values: 41.049, median values: 0.26973, and quantile values: 0.25 0.074826\n0.50 0.269730\n0.75 0.893925\nName: 10370, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.592087632145503, std values: 4.992911814829495, min values: 2.3235e-08, max values: 40.782, median values: 0.22434, and quantile values: 0.25 0.066540\n0.50 0.224340\n0.75 1.032075\nName: 10371, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2909303690370186, std values: 4.820749916188559, min values: 1.5486e-08, max values: 40.861, median values: 0.12302, and quantile values: 0.25 0.030411\n0.50 0.123020\n0.75 0.652005\nName: 10372, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5627481169869812, std values: 4.881876817988602, min values: 6.8943e-07, max values: 38.255, median values: 0.26429, and quantile values: 0.25 0.065357\n0.50 0.264290\n0.75 1.018500\nName: 10373, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4932672175913897, std values: 4.926011698847429, min values: 1.6934e-08, max values: 41.668, median values: 0.18714, and quantile values: 0.25 0.043881\n0.50 0.187140\n0.75 0.816015\nName: 10374, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6128875999414463, std values: 5.344059134778697, min values: 2.2729e-07, max values: 48.032, median values: 0.26526, and quantile values: 0.25 0.061375\n0.50 0.265260\n0.75 0.985740\nName: 10375, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.266701325532893, std values: 4.743467389497448, min values: 9.16e-08, max values: 39.502, median values: 0.16274, and quantile values: 0.25 0.039343\n0.50 0.162740\n0.75 0.664275\nName: 10376, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4762935759868554, std values: 4.637884047859857, min values: 0.0, max values: 37.585, median values: 0.20428, and quantile values: 0.25 0.056007\n0.50 0.204280\n0.75 0.934785\nName: 10377, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7824117126257863, std values: 5.229867944224854, min values: 6.259e-07, max values: 40.883, median values: 0.30407, and quantile values: 0.25 0.081832\n0.50 0.304070\n0.75 1.125150\nName: 10378, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4391591170674212, std values: 4.53895097359603, min values: 1.5902e-07, max values: 36.846, median values: 0.19871, and quantile values: 0.25 0.049781\n0.50 0.198710\n0.75 0.894270\nName: 10379, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.391638864444654, std values: 4.690310632334203, min values: 2.1637e-06, max values: 38.481, median values: 0.20596, and quantile values: 0.25 0.067411\n0.50 0.205960\n0.75 0.806905\nName: 10380, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4831165599837737, std values: 4.698876419479017, min values: 5.3792e-07, max values: 37.673, median values: 0.21517, and quantile values: 0.25 0.059033\n0.50 0.215170\n0.75 0.910895\nName: 10381, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.553068878545283, std values: 4.934418234598561, min values: 1.6448e-06, max values: 39.29, median values: 0.23336, and quantile values: 0.25 0.070202\n0.50 0.233360\n0.75 0.982760\nName: 10382, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6070650791610066, std values: 4.970608634563139, min values: 1.4025e-06, max values: 39.328, median values: 0.29638, and quantile values: 0.25 0.070679\n0.50 0.296380\n0.75 0.967645\nName: 10383, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4749917212420627, std values: 4.995067093595578, min values: 2.3488e-08, max values: 42.364, median values: 0.20588, and quantile values: 0.25 0.060267\n0.50 0.205880\n0.75 0.939685\nName: 10384, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3857315262503143, std values: 4.772673533837681, min values: 1.1455e-06, max values: 38.532, median values: 0.24026, and quantile values: 0.25 0.06468\n0.50 0.24026\n0.75 0.77798\nName: 10385, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5478482231955975, std values: 4.968627602589377, min values: 1.8492e-06, max values: 39.394, median values: 0.22031, and quantile values: 0.25 0.060392\n0.50 0.220310\n0.75 1.007500\nName: 10386, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.424768982868094, std values: 4.738457889869054, min values: 1.4717e-08, max values: 38.175, median values: 0.17362, and quantile values: 0.25 0.038221\n0.50 0.173620\n0.75 0.798155\nName: 10387, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5836344577597485, std values: 5.035291777636997, min values: 3.3762e-06, max values: 39.787, median values: 0.29071, and quantile values: 0.25 0.073747\n0.50 0.290710\n0.75 0.929195\nName: 10388, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4697514278203647, std values: 4.845072793105113, min values: 2.4238e-08, max values: 38.626, median values: 0.21995, and quantile values: 0.25 0.054725\n0.50 0.219950\n0.75 0.889545\nName: 10389, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3911264418056604, std values: 4.814094527502184, min values: 1.0345e-06, max values: 38.469, median values: 0.19757, and quantile values: 0.25 0.060590\n0.50 0.197570\n0.75 0.778075\nName: 10390, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4649141685952831, std values: 4.819996842557805, min values: 1.785e-08, max values: 39.079, median values: 0.23479, and quantile values: 0.25 0.06066\n0.50 0.23479\n0.75 0.87722\nName: 10391, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8259377699314467, std values: 5.093657130677586, min values: 2.7331e-06, max values: 39.035, median values: 0.30712, and quantile values: 0.25 0.084076\n0.50 0.307120\n0.75 1.319900\nName: 10392, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.447278743565346, std values: 4.763664205650274, min values: 4.9599e-07, max values: 37.831, median values: 0.2208, and quantile values: 0.25 0.06229\n0.50 0.22080\n0.75 0.90716\nName: 10393, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4889944924949683, std values: 5.129528411999441, min values: 2.8827e-06, max values: 42.156, median values: 0.22959, and quantile values: 0.25 0.066286\n0.50 0.229590\n0.75 0.842525\nName: 10394, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2798721140644025, std values: 4.6958330312235965, min values: 3.0584e-07, max values: 37.914, median values: 0.18626, and quantile values: 0.25 0.049771\n0.50 0.186260\n0.75 0.676815\nName: 10395, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3586184278589184, std values: 4.825895230592842, min values: 2.6188e-08, max values: 40.35, median values: 0.16767, and quantile values: 0.25 0.043944\n0.50 0.167670\n0.75 0.767880\nName: 10396, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6448990023, std values: 5.255384942588803, min values: 1.7226e-06, max values: 43.885, median values: 0.25668, and quantile values: 0.25 0.076083\n0.50 0.256680\n0.75 1.053100\nName: 10397, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5512162556991824, std values: 5.258479571397399, min values: 9.1307e-07, max values: 46.172, median values: 0.22402, and quantile values: 0.25 0.069026\n0.50 0.224020\n0.75 0.980345\nName: 10398, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5177372699861005, std values: 4.808384672547146, min values: 3.5099e-07, max values: 38.197, median values: 0.22661, and quantile values: 0.25 0.060579\n0.50 0.226610\n0.75 0.952755\nName: 10399, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3848077737465407, std values: 4.898790068742203, min values: 2.2761e-06, max values: 39.442, median values: 0.22057, and quantile values: 0.25 0.061398\n0.50 0.220570\n0.75 0.787515\nName: 10400, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4200218179918238, std values: 4.789811214446652, min values: 1.3737e-06, max values: 39.372, median values: 0.21719, and quantile values: 0.25 0.060119\n0.50 0.217190\n0.75 0.843445\nName: 10401, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.304684996708176, std values: 5.018493203866809, min values: 1.0604e-06, max values: 43.763, median values: 0.15005, and quantile values: 0.25 0.049850\n0.50 0.150050\n0.75 0.610215\nName: 10402, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7218433903761008, std values: 5.158795915816395, min values: 1.7235e-06, max values: 41.487, median values: 0.30594, and quantile values: 0.25 0.080389\n0.50 0.305940\n0.75 1.160550\nName: 10403, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6448038877327045, std values: 5.266475407691556, min values: 3.4535e-06, max values: 43.486, median values: 0.26645, and quantile values: 0.25 0.075656\n0.50 0.266450\n0.75 1.007200\nName: 10404, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2046607994631449, std values: 4.473539872402971, min values: 4.5974e-07, max values: 38.759, median values: 0.14933, and quantile values: 0.25 0.044495\n0.50 0.149330\n0.75 0.635545\nName: 10405, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.489542308602516, std values: 5.038872862590935, min values: 1.9608e-06, max values: 40.988, median values: 0.22812, and quantile values: 0.25 0.065662\n0.50 0.228120\n0.75 0.933760\nName: 10406, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5199269303471696, std values: 5.039207669171632, min values: 2.1124e-06, max values: 41.495, median values: 0.24159, and quantile values: 0.25 0.066099\n0.50 0.241590\n0.75 0.931650\nName: 10407, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.416346018462264, std values: 4.904593952293246, min values: 1.5096e-06, max values: 39.464, median values: 0.18826, and quantile values: 0.25 0.060695\n0.50 0.188260\n0.75 0.887465\nName: 10408, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4819937356522013, std values: 4.79201977311886, min values: 1.3474e-06, max values: 38.509, median values: 0.2298, and quantile values: 0.25 0.064738\n0.50 0.229800\n0.75 0.910640\nName: 10409, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4865886779603774, std values: 5.036603948308821, min values: 6.259e-07, max values: 41.337, median values: 0.22964, and quantile values: 0.25 0.065072\n0.50 0.229640\n0.75 0.842875\nName: 10410, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.40521274835283, std values: 4.996499008563369, min values: 2.2358e-06, max values: 40.61, median values: 0.20121, and quantile values: 0.25 0.06854\n0.50 0.20121\n0.75 0.76994\nName: 10411, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5678931998208177, std values: 5.359914240322122, min values: 2.2901e-07, max values: 48.498, median values: 0.23978, and quantile values: 0.25 0.062268\n0.50 0.239780\n0.75 1.011660\nName: 10412, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.264441584314717, std values: 4.49955561506213, min values: 9.4004e-07, max values: 38.0, median values: 0.19014, and quantile values: 0.25 0.048714\n0.50 0.190140\n0.75 0.736900\nName: 10413, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6328715073690565, std values: 5.222398480075641, min values: 9.1048e-07, max values: 45.003, median values: 0.26801, and quantile values: 0.25 0.072148\n0.50 0.268010\n0.75 1.058950\nName: 10414, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.008884412030818, std values: 5.449185407121744, min values: 3.9267e-06, max values: 42.606, median values: 0.36307, and quantile values: 0.25 0.096924\n0.50 0.363070\n0.75 1.446400\nName: 10415, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6893973887056601, std values: 5.114220109098537, min values: 1.1752e-06, max values: 41.414, median values: 0.30628, and quantile values: 0.25 0.075376\n0.50 0.306280\n0.75 1.157900\nName: 10416, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5495638963830187, std values: 4.811924383166006, min values: 6.4526e-06, max values: 40.138, median values: 0.25342, and quantile values: 0.25 0.075732\n0.50 0.253420\n0.75 0.883455\nName: 10417, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4374527266113206, std values: 5.0021001138879155, min values: 4.219e-06, max values: 40.247, median values: 0.20793, and quantile values: 0.25 0.067343\n0.50 0.207930\n0.75 0.728290\nName: 10418, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5510286221333331, std values: 5.02978013900311, min values: 1.4645e-06, max values: 39.935, median values: 0.23297, and quantile values: 0.25 0.056607\n0.50 0.232970\n0.75 0.978900\nName: 10419, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4988254205166982, std values: 4.784822587709825, min values: 3.0045e-08, max values: 38.033, median values: 0.17796, and quantile values: 0.25 0.046078\n0.50 0.177960\n0.75 0.876805\nName: 10420, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5233951807320756, std values: 4.787918726794133, min values: 1.2512e-06, max values: 37.607, median values: 0.24528, and quantile values: 0.25 0.066167\n0.50 0.245280\n0.75 0.998575\nName: 10421, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2679422987310944, std values: 4.516598068126245, min values: 1.5244e-08, max values: 37.351, median values: 0.14603, and quantile values: 0.25 0.040907\n0.50 0.146030\n0.75 0.694635\nName: 10422, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.593371869139497, std values: 4.909250319200666, min values: 9.6498e-07, max values: 38.566, median values: 0.27061, and quantile values: 0.25 0.073272\n0.50 0.270610\n0.75 1.088850\nName: 10423, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5912294479401257, std values: 4.923344429283602, min values: 2.1558e-07, max values: 39.387, median values: 0.26794, and quantile values: 0.25 0.068091\n0.50 0.267940\n0.75 1.122250\nName: 10424, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3704860578608804, std values: 5.009199979546653, min values: 1.8078e-07, max values: 43.79, median values: 0.17728, and quantile values: 0.25 0.048208\n0.50 0.177280\n0.75 0.701500\nName: 10425, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.225563420727044, std values: 4.509698363501572, min values: 1.6425e-06, max values: 39.286, median values: 0.17044, and quantile values: 0.25 0.049443\n0.50 0.170440\n0.75 0.699790\nName: 10426, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4825537502441508, std values: 5.073849667501342, min values: 7.6352e-07, max values: 43.07, median values: 0.20801, and quantile values: 0.25 0.063462\n0.50 0.208010\n0.75 0.903655\nName: 10427, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5660392612081764, std values: 5.1430277868808, min values: 2.7315e-06, max values: 41.884, median values: 0.25639, and quantile values: 0.25 0.06526\n0.50 0.25639\n0.75 1.01390\nName: 10428, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4502189015598743, std values: 5.091925030276445, min values: 9.8882e-07, max values: 43.541, median values: 0.21823, and quantile values: 0.25 0.058927\n0.50 0.218230\n0.75 0.848330\nName: 10429, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4319640194459122, std values: 5.148839947477887, min values: 1.6561e-06, max values: 43.881, median values: 0.20527, and quantile values: 0.25 0.056820\n0.50 0.205270\n0.75 0.780595\nName: 10430, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5761645911062894, std values: 4.75547968761377, min values: 2.8654e-06, max values: 39.359, median values: 0.26033, and quantile values: 0.25 0.083147\n0.50 0.260330\n0.75 0.996085\nName: 10431, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4692905640893084, std values: 4.913614886871912, min values: 1.9795e-06, max values: 39.428, median values: 0.25408, and quantile values: 0.25 0.068437\n0.50 0.254080\n0.75 0.900380\nName: 10432, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4483751781566039, std values: 4.694757440197212, min values: 2.2328e-06, max values: 38.821, median values: 0.23268, and quantile values: 0.25 0.065648\n0.50 0.232680\n0.75 0.869755\nName: 10433, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.544570122335849, std values: 4.841717761604522, min values: 1.6865e-06, max values: 38.59, median values: 0.25308, and quantile values: 0.25 0.074905\n0.50 0.253080\n0.75 1.009200\nName: 10434, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3839179207765222, std values: 4.811646179654722, min values: 3.1967e-08, max values: 39.698, median values: 0.21215, and quantile values: 0.25 0.043626\n0.50 0.212150\n0.75 0.780570\nName: 10435, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8491591364132072, std values: 5.165326598699086, min values: 1.7872e-06, max values: 40.237, median values: 0.31157, and quantile values: 0.25 0.095158\n0.50 0.311570\n0.75 1.242650\nName: 10436, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.883652134663522, std values: 5.153788097288714, min values: 1.1294e-06, max values: 40.294, median values: 0.34356, and quantile values: 0.25 0.081928\n0.50 0.343560\n0.75 1.323550\nName: 10437, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5156316822773586, std values: 5.111047870880214, min values: 3.2931e-06, max values: 41.077, median values: 0.22961, and quantile values: 0.25 0.065618\n0.50 0.229610\n0.75 0.810175\nName: 10438, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.398265849494088, std values: 4.849273617482663, min values: 1.8556e-07, max values: 40.262, median values: 0.18556, and quantile values: 0.25 0.053013\n0.50 0.185560\n0.75 0.846185\nName: 10439, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6326059523698115, std values: 5.052030788977089, min values: 1.3679e-06, max values: 41.344, median values: 0.2977, and quantile values: 0.25 0.077641\n0.50 0.297700\n0.75 1.084950\nName: 10440, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5920116702584906, std values: 4.997639550529455, min values: 2.0238e-06, max values: 39.565, median values: 0.23849, and quantile values: 0.25 0.048033\n0.50 0.238490\n0.75 1.114000\nName: 10441, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3102272463075473, std values: 4.605208442226443, min values: 1.0987e-06, max values: 38.336, median values: 0.16485, and quantile values: 0.25 0.053750\n0.50 0.164850\n0.75 0.732185\nName: 10442, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7042752038603775, std values: 5.122895179616076, min values: 2.8221e-06, max values: 40.618, median values: 0.292, and quantile values: 0.25 0.081082\n0.50 0.292000\n0.75 1.119000\nName: 10443, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2810931578865283, std values: 4.736834500088299, min values: 2.6621e-08, max values: 40.399, median values: 0.15777, and quantile values: 0.25 0.034586\n0.50 0.157770\n0.75 0.613435\nName: 10444, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3682237037270442, std values: 5.064543422230714, min values: 3.8993e-06, max values: 41.18, median values: 0.18281, and quantile values: 0.25 0.056002\n0.50 0.182810\n0.75 0.643295\nName: 10445, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5362571667817608, std values: 4.993537850358064, min values: 1.6558e-06, max values: 40.643, median values: 0.2232, and quantile values: 0.25 0.071049\n0.50 0.223200\n0.75 0.954435\nName: 10446, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8451877987779872, std values: 5.302104707819487, min values: 2.91e-06, max values: 43.082, median values: 0.34565, and quantile values: 0.25 0.096193\n0.50 0.345650\n0.75 1.309800\nName: 10447, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7899211612937105, std values: 5.043129319242052, min values: 4.3982e-06, max values: 40.924, median values: 0.32378, and quantile values: 0.25 0.084745\n0.50 0.323780\n0.75 1.186200\nName: 10448, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.65589894204717, std values: 5.097651650863162, min values: 5.8619e-06, max values: 40.765, median values: 0.25928, and quantile values: 0.25 0.078047\n0.50 0.259280\n0.75 1.025215\nName: 10449, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3863631846345914, std values: 4.77348237312896, min values: 1.2046e-06, max values: 37.934, median values: 0.21761, and quantile values: 0.25 0.065346\n0.50 0.217610\n0.75 0.769210\nName: 10450, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5362502842603774, std values: 5.044072590662824, min values: 2.0865e-06, max values: 41.201, median values: 0.25762, and quantile values: 0.25 0.074753\n0.50 0.257620\n0.75 0.947820\nName: 10451, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4775354646767294, std values: 4.862759324870261, min values: 1.0416e-06, max values: 38.382, median values: 0.21706, and quantile values: 0.25 0.056181\n0.50 0.217060\n0.75 0.847735\nName: 10452, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3987395028150316, std values: 4.767887547360284, min values: 5.2189e-07, max values: 38.156, median values: 0.19953, and quantile values: 0.25 0.054008\n0.50 0.199530\n0.75 0.844060\nName: 10453, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6226640067206919, std values: 5.219662720979142, min values: 2.6769e-07, max values: 45.628, median values: 0.27845, and quantile values: 0.25 0.06477\n0.50 0.27845\n0.75 1.10275\nName: 10454, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5631308897944656, std values: 5.106312989904013, min values: 9.1722e-07, max values: 42.694, median values: 0.26386, and quantile values: 0.25 0.070150\n0.50 0.263860\n0.75 0.969055\nName: 10455, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3816034890611322, std values: 4.713149301094054, min values: 3.7972e-07, max values: 38.152, median values: 0.181, and quantile values: 0.25 0.046802\n0.50 0.181000\n0.75 0.767235\nName: 10456, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3770167924062895, std values: 4.669529738805467, min values: 2.088e-07, max values: 36.895, median values: 0.18488, and quantile values: 0.25 0.049891\n0.50 0.184880\n0.75 0.753995\nName: 10457, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.423421724153459, std values: 5.021475795850144, min values: 2.6184e-06, max values: 40.851, median values: 0.21354, and quantile values: 0.25 0.06167\n0.50 0.21354\n0.75 0.78622\nName: 10458, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.881958591018868, std values: 5.216933271348589, min values: 2.5627e-06, max values: 40.027, median values: 0.32511, and quantile values: 0.25 0.086148\n0.50 0.325110\n0.75 1.426850\nName: 10459, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6029037479301889, std values: 5.233315993048335, min values: 2.424e-06, max values: 43.961, median values: 0.2404, and quantile values: 0.25 0.077356\n0.50 0.240400\n0.75 1.005530\nName: 10460, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.358394418388931, std values: 4.838103967502326, min values: 4.8724e-07, max values: 39.221, median values: 0.19453, and quantile values: 0.25 0.052215\n0.50 0.194530\n0.75 0.763465\nName: 10461, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2608963271150944, std values: 4.80688606374, min values: 1.5434e-06, max values: 39.191, median values: 0.16724, and quantile values: 0.25 0.046290\n0.50 0.167240\n0.75 0.656525\nName: 10462, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6729339915725785, std values: 4.684280135516817, min values: 1.4134e-07, max values: 37.424, median values: 0.29881, and quantile values: 0.25 0.075962\n0.50 0.298810\n0.75 1.141950\nName: 10463, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3953439883591194, std values: 5.134972920707347, min values: 1.0624e-06, max values: 43.914, median values: 0.17497, and quantile values: 0.25 0.051624\n0.50 0.174970\n0.75 0.769510\nName: 10464, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4687596641886795, std values: 4.989430474845116, min values: 2.5812e-06, max values: 40.403, median values: 0.23757, and quantile values: 0.25 0.063738\n0.50 0.237570\n0.75 0.854680\nName: 10465, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5555184037069183, std values: 4.9637285086227605, min values: 4.7181e-06, max values: 40.227, median values: 0.25126, and quantile values: 0.25 0.075801\n0.50 0.251260\n0.75 0.921860\nName: 10466, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1438539832257864, std values: 4.439274838191566, min values: 1.317e-06, max values: 38.639, median values: 0.1266, and quantile values: 0.25 0.041756\n0.50 0.126600\n0.75 0.598015\nName: 10467, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.460998703170566, std values: 4.764434912685178, min values: 8.6602e-07, max values: 38.366, median values: 0.21605, and quantile values: 0.25 0.05809\n0.50 0.21605\n0.75 0.88680\nName: 10468, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6782932677371067, std values: 5.218616046840854, min values: 3.0913e-06, max values: 42.01, median values: 0.25613, and quantile values: 0.25 0.077656\n0.50 0.256130\n0.75 1.038400\nName: 10469, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6584289461529056, std values: 4.930576246016922, min values: 2.7812e-08, max values: 39.226, median values: 0.24936, and quantile values: 0.25 0.064398\n0.50 0.249360\n0.75 1.166050\nName: 10470, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4220495528012578, std values: 5.050194472049107, min values: 1.3993e-06, max values: 41.987, median values: 0.20184, and quantile values: 0.25 0.058397\n0.50 0.201840\n0.75 0.847500\nName: 10471, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.436685101806918, std values: 4.785865588032774, min values: 2.4292e-06, max values: 39.555, median values: 0.21869, and quantile values: 0.25 0.064510\n0.50 0.218690\n0.75 0.835175\nName: 10472, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3900687353289307, std values: 4.77690201623314, min values: 1.5854e-06, max values: 38.181, median values: 0.18988, and quantile values: 0.25 0.062227\n0.50 0.189880\n0.75 0.730170\nName: 10473, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4727557415974841, std values: 5.136937984983793, min values: 1.7629e-06, max values: 43.726, median values: 0.21371, and quantile values: 0.25 0.062138\n0.50 0.213710\n0.75 0.852800\nName: 10474, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.408197804778742, std values: 4.658523878008592, min values: 9.8592e-07, max values: 38.624, median values: 0.23243, and quantile values: 0.25 0.060071\n0.50 0.232430\n0.75 0.818210\nName: 10475, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7860695551836479, std values: 4.921585523030955, min values: 1.3523e-06, max values: 38.0, median values: 0.342, and quantile values: 0.25 0.09736\n0.50 0.34200\n0.75 1.28355\nName: 10476, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4954767297949687, std values: 4.972996818460673, min values: 2.5086e-06, max values: 39.955, median values: 0.24178, and quantile values: 0.25 0.063987\n0.50 0.241780\n0.75 0.905345\nName: 10477, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5247350605213836, std values: 4.673539005959486, min values: 2.2082e-06, max values: 39.095, median values: 0.28422, and quantile values: 0.25 0.06785\n0.50 0.28422\n0.75 1.08630\nName: 10478, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5709653861396227, std values: 4.907717523841736, min values: 2.0648e-06, max values: 39.255, median values: 0.26812, and quantile values: 0.25 0.068346\n0.50 0.268120\n0.75 1.039755\nName: 10479, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5222205665943398, std values: 5.102483694461823, min values: 1.7337e-06, max values: 42.907, median values: 0.2241, and quantile values: 0.25 0.063994\n0.50 0.224100\n0.75 0.916835\nName: 10480, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3868290234449685, std values: 4.844157209694458, min values: 6.0705e-07, max values: 38.952, median values: 0.21199, and quantile values: 0.25 0.060263\n0.50 0.211990\n0.75 0.807010\nName: 10481, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5649178281201257, std values: 5.063277766991205, min values: 4.0922e-06, max values: 40.24, median values: 0.23579, and quantile values: 0.25 0.072226\n0.50 0.235790\n0.75 0.951100\nName: 10482, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3890510634949687, std values: 4.752503772512716, min values: 2.2466e-06, max values: 39.553, median values: 0.21397, and quantile values: 0.25 0.06120\n0.50 0.21397\n0.75 0.84037\nName: 10483, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3352456058937734, std values: 5.318408584363769, min values: 6.3571e-07, max values: 48.655, median values: 0.15791, and quantile values: 0.25 0.050551\n0.50 0.157910\n0.75 0.714870\nName: 10484, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.453599380579245, std values: 4.818645323224015, min values: 1.4651e-06, max values: 39.251, median values: 0.22489, and quantile values: 0.25 0.063023\n0.50 0.224890\n0.75 0.856210\nName: 10485, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4740472384509435, std values: 5.01606526110291, min values: 1.3894e-06, max values: 40.96, median values: 0.19881, and quantile values: 0.25 0.059734\n0.50 0.198810\n0.75 0.822735\nName: 10486, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6350514802279874, std values: 5.018922780593521, min values: 7.4395e-07, max values: 40.127, median values: 0.2476, and quantile values: 0.25 0.070412\n0.50 0.247600\n0.75 1.117450\nName: 10487, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.415185470545283, std values: 4.842310314909369, min values: 2.1826e-06, max values: 39.188, median values: 0.2106, and quantile values: 0.25 0.062186\n0.50 0.210600\n0.75 0.817375\nName: 10488, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4946571720470438, std values: 4.987351962651946, min values: 4.8688e-07, max values: 41.974, median values: 0.19557, and quantile values: 0.25 0.057349\n0.50 0.195570\n0.75 0.864975\nName: 10489, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3350130638187798, std values: 4.608246866357203, min values: 1.7586e-08, max values: 38.058, median values: 0.16916, and quantile values: 0.25 0.045747\n0.50 0.169160\n0.75 0.771060\nName: 10490, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6526981995213836, std values: 5.1402742577557055, min values: 1.4396e-06, max values: 42.537, median values: 0.28295, and quantile values: 0.25 0.072376\n0.50 0.282950\n0.75 1.108400\nName: 10491, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.512213205246541, std values: 5.1424597687801965, min values: 1.6721e-06, max values: 42.684, median values: 0.22151, and quantile values: 0.25 0.061854\n0.50 0.221510\n0.75 0.901270\nName: 10492, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.572064011193082, std values: 5.1661598060981335, min values: 4.735e-06, max values: 41.478, median values: 0.25096, and quantile values: 0.25 0.072655\n0.50 0.250960\n0.75 0.878280\nName: 10493, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.419129111441761, std values: 4.8521472622798, min values: 1.6964e-07, max values: 38.682, median values: 0.19212, and quantile values: 0.25 0.050141\n0.50 0.192120\n0.75 0.771890\nName: 10494, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6460293644327484, std values: 5.0476677305259745, min values: 8.5207e-08, max values: 41.467, median values: 0.24686, and quantile values: 0.25 0.067178\n0.50 0.246860\n0.75 1.114250\nName: 10495, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7355625180044023, std values: 5.027311960008622, min values: 5.8967e-06, max values: 40.595, median values: 0.30221, and quantile values: 0.25 0.096032\n0.50 0.302210\n0.75 1.100100\nName: 10496, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6025755479157233, std values: 5.407961823961183, min values: 2.2068e-06, max values: 46.937, median values: 0.2756, and quantile values: 0.25 0.066215\n0.50 0.275600\n0.75 0.987535\nName: 10497, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2707664680810065, std values: 4.83994080123911, min values: 4.7238e-07, max values: 40.398, median values: 0.16927, and quantile values: 0.25 0.043797\n0.50 0.169270\n0.75 0.646525\nName: 10498, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4658199660962266, std values: 4.790011572441008, min values: 1.8892e-06, max values: 38.627, median values: 0.24028, and quantile values: 0.25 0.077603\n0.50 0.240280\n0.75 0.842045\nName: 10499, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5498842751584907, std values: 4.8399180958154675, min values: 1.5853e-06, max values: 38.439, median values: 0.24849, and quantile values: 0.25 0.059567\n0.50 0.248490\n0.75 1.030650\nName: 10500, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6422200469510064, std values: 4.950885366021767, min values: 4.2931e-07, max values: 38.763, median values: 0.2544, and quantile values: 0.25 0.06822\n0.50 0.25440\n0.75 1.09705\nName: 10501, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4961369276950314, std values: 4.804354649585695, min values: 3.3881e-07, max values: 38.423, median values: 0.22625, and quantile values: 0.25 0.061457\n0.50 0.226250\n0.75 0.940310\nName: 10502, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5310455354358492, std values: 5.092268822304132, min values: 1.3185e-06, max values: 42.371, median values: 0.21645, and quantile values: 0.25 0.052031\n0.50 0.216450\n0.75 0.971295\nName: 10503, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3630866358014402, std values: 4.4831451907591005, min values: 2.8639e-08, max values: 36.53, median values: 0.20056, and quantile values: 0.25 0.041302\n0.50 0.200560\n0.75 0.811800\nName: 10504, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4763581785768556, std values: 4.768741841929775, min values: 6.9592e-07, max values: 37.667, median values: 0.2377, and quantile values: 0.25 0.069053\n0.50 0.237700\n0.75 0.924855\nName: 10505, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.447833465749629, std values: 4.914558898612403, min values: 8.2291e-08, max values: 40.547, median values: 0.18821, and quantile values: 0.25 0.049345\n0.50 0.188210\n0.75 0.824935\nName: 10506, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1732819234930818, std values: 4.526594895182011, min values: 1.0828e-06, max values: 38.863, median values: 0.14515, and quantile values: 0.25 0.041843\n0.50 0.145150\n0.75 0.589030\nName: 10507, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3322155796550315, std values: 4.757471102166936, min values: 7.2595e-07, max values: 38.556, median values: 0.19092, and quantile values: 0.25 0.066168\n0.50 0.190920\n0.75 0.806535\nName: 10508, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8230096655547172, std values: 5.304564657987021, min values: 4.3552e-06, max values: 41.031, median values: 0.31945, and quantile values: 0.25 0.081003\n0.50 0.319450\n0.75 1.278300\nName: 10509, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4037074610093079, std values: 4.666644367332324, min values: 6.1258e-07, max values: 38.345, median values: 0.2097, and quantile values: 0.25 0.059449\n0.50 0.209700\n0.75 0.877025\nName: 10510, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8477929270377358, std values: 5.404833230762196, min values: 1.7997e-06, max values: 45.743, median values: 0.33854, and quantile values: 0.25 0.08510\n0.50 0.33854\n0.75 1.27800\nName: 10511, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3175171051777486, std values: 4.5541430515190795, min values: 6.0802e-08, max values: 37.325, median values: 0.1798, and quantile values: 0.25 0.047520\n0.50 0.179800\n0.75 0.735845\nName: 10512, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.381395869874214, std values: 5.047928458808397, min values: 1.9046e-06, max values: 41.819, median values: 0.19376, and quantile values: 0.25 0.05655\n0.50 0.19376\n0.75 0.74628\nName: 10513, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3114178845621385, std values: 4.564154275787405, min values: 5.0428e-07, max values: 37.465, median values: 0.17136, and quantile values: 0.25 0.049297\n0.50 0.171360\n0.75 0.739150\nName: 10514, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.353552356164151, std values: 4.762645326477647, min values: 5.453e-07, max values: 38.473, median values: 0.19179, and quantile values: 0.25 0.056389\n0.50 0.191790\n0.75 0.738450\nName: 10515, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3059094923270438, std values: 4.972201589090151, min values: 1.097e-06, max values: 41.633, median values: 0.17532, and quantile values: 0.25 0.060309\n0.50 0.175320\n0.75 0.718820\nName: 10516, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.392528746762264, std values: 4.819888566710166, min values: 1.48e-07, max values: 39.655, median values: 0.19956, and quantile values: 0.25 0.051794\n0.50 0.199560\n0.75 0.807695\nName: 10517, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5052510820226415, std values: 4.990500285213555, min values: 4.6093e-06, max values: 40.502, median values: 0.25561, and quantile values: 0.25 0.073634\n0.50 0.255610\n0.75 0.861580\nName: 10518, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6423894934813208, std values: 4.945908420754512, min values: 6.6343e-07, max values: 38.593, median values: 0.25302, and quantile values: 0.25 0.066112\n0.50 0.253020\n0.75 1.104250\nName: 10519, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3883630086018868, std values: 5.021889023275669, min values: 1.464e-06, max values: 42.254, median values: 0.18446, and quantile values: 0.25 0.059200\n0.50 0.184460\n0.75 0.718515\nName: 10520, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4392293258710693, std values: 4.901731058583827, min values: 1.6371e-06, max values: 39.953, median values: 0.23159, and quantile values: 0.25 0.065354\n0.50 0.231590\n0.75 0.908660\nName: 10521, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5167639581735848, std values: 4.965518636826614, min values: 1.0579e-06, max values: 40.873, median values: 0.24054, and quantile values: 0.25 0.06659\n0.50 0.24054\n0.75 0.92657\nName: 10522, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3299154031739622, std values: 4.615205815098024, min values: 1.1031e-07, max values: 36.701, median values: 0.18121, and quantile values: 0.25 0.050009\n0.50 0.181210\n0.75 0.756335\nName: 10523, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.562857482274214, std values: 4.901058803192029, min values: 3.7386e-06, max values: 39.326, median values: 0.24523, and quantile values: 0.25 0.077784\n0.50 0.245230\n0.75 1.044400\nName: 10524, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3821359559663398, std values: 4.666859230418361, min values: 1.7988e-08, max values: 36.73, median values: 0.16047, and quantile values: 0.25 0.037861\n0.50 0.160470\n0.75 0.763100\nName: 10525, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5866614975210693, std values: 4.930716263085299, min values: 6.8845e-07, max values: 39.143, median values: 0.27183, and quantile values: 0.25 0.073432\n0.50 0.271830\n0.75 1.047225\nName: 10526, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4117094115848425, std values: 4.757492291597884, min values: 1.5831e-07, max values: 38.421, median values: 0.21338, and quantile values: 0.25 0.05121\n0.50 0.21338\n0.75 0.85636\nName: 10527, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3738677399971697, std values: 5.144684939591244, min values: 3.0665e-07, max values: 45.609, median values: 0.17784, and quantile values: 0.25 0.048338\n0.50 0.177840\n0.75 0.715875\nName: 10528, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4315463401251571, std values: 5.002283110050437, min values: 1.1898e-06, max values: 42.013, median values: 0.21995, and quantile values: 0.25 0.063446\n0.50 0.219950\n0.75 0.800340\nName: 10529, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4944633991584904, std values: 5.161806019275491, min values: 2.13e-06, max values: 41.701, median values: 0.22078, and quantile values: 0.25 0.064134\n0.50 0.220780\n0.75 0.748425\nName: 10530, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3780060120446542, std values: 4.863686503740752, min values: 2.1206e-06, max values: 39.165, median values: 0.20691, and quantile values: 0.25 0.06109\n0.50 0.20691\n0.75 0.82078\nName: 10531, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.733615461173585, std values: 5.38375904721808, min values: 4.9273e-06, max values: 44.105, median values: 0.27344, and quantile values: 0.25 0.07575\n0.50 0.27344\n0.75 1.05705\nName: 10532, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.420864026449195, std values: 4.89183620081074, min values: 1.7222e-08, max values: 41.079, median values: 0.19523, and quantile values: 0.25 0.059991\n0.50 0.195230\n0.75 0.849555\nName: 10533, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4117717632952829, std values: 4.7655289502675755, min values: 5.4315e-07, max values: 37.984, median values: 0.22624, and quantile values: 0.25 0.062489\n0.50 0.226240\n0.75 0.844300\nName: 10534, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4287302296289937, std values: 4.944050339044075, min values: 8.9651e-07, max values: 40.863, median values: 0.21364, and quantile values: 0.25 0.052976\n0.50 0.213640\n0.75 0.787450\nName: 10535, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3760896716739626, std values: 5.039768424624116, min values: 6.9596e-07, max values: 42.826, median values: 0.16791, and quantile values: 0.25 0.052663\n0.50 0.167910\n0.75 0.756770\nName: 10536, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6320710554893083, std values: 5.194463741830263, min values: 3.645e-06, max values: 42.528, median values: 0.27221, and quantile values: 0.25 0.081349\n0.50 0.272210\n0.75 1.011975\nName: 10537, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6331565264262264, std values: 4.956267254296842, min values: 8.4647e-07, max values: 39.026, median values: 0.28275, and quantile values: 0.25 0.074289\n0.50 0.282750\n0.75 1.120050\nName: 10538, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4665509953, std values: 4.727643797754617, min values: 2.8956e-06, max values: 39.487, median values: 0.22385, and quantile values: 0.25 0.067525\n0.50 0.223850\n0.75 0.898175\nName: 10539, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6490123599301887, std values: 4.9332771508480535, min values: 2.0549e-06, max values: 38.71, median values: 0.27976, and quantile values: 0.25 0.080939\n0.50 0.279760\n0.75 1.108700\nName: 10540, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.600369913493082, std values: 5.099049441621912, min values: 3.8305e-06, max values: 40.475, median values: 0.25666, and quantile values: 0.25 0.066586\n0.50 0.256660\n0.75 0.991320\nName: 10541, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4178881090743396, std values: 4.738671712145219, min values: 4.9162e-07, max values: 38.301, median values: 0.21678, and quantile values: 0.25 0.058442\n0.50 0.216780\n0.75 0.809090\nName: 10542, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6981674449747166, std values: 5.082329315542023, min values: 5.2218e-07, max values: 41.785, median values: 0.27749, and quantile values: 0.25 0.071835\n0.50 0.277490\n0.75 1.119800\nName: 10543, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6642048546742139, std values: 5.336985486875334, min values: 5.6937e-06, max values: 42.84, median values: 0.24284, and quantile values: 0.25 0.081267\n0.50 0.242840\n0.75 0.954475\nName: 10544, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6885873435893084, std values: 5.095564766147964, min values: 5.6917e-06, max values: 41.492, median values: 0.28116, and quantile values: 0.25 0.078657\n0.50 0.281160\n0.75 1.055900\nName: 10545, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4722684217786162, std values: 4.95052792524454, min values: 4.2611e-06, max values: 40.286, median values: 0.21239, and quantile values: 0.25 0.060605\n0.50 0.212390\n0.75 0.851690\nName: 10546, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5269125111421384, std values: 5.0388149289819895, min values: 2.6483e-06, max values: 40.279, median values: 0.23718, and quantile values: 0.25 0.070707\n0.50 0.237180\n0.75 0.894490\nName: 10547, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5204820586504402, std values: 4.902170367932508, min values: 2.9162e-07, max values: 39.221, median values: 0.20893, and quantile values: 0.25 0.058019\n0.50 0.208930\n0.75 0.924530\nName: 10548, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3153874653728301, std values: 4.911435450348276, min values: 6.5048e-07, max values: 41.427, median values: 0.16778, and quantile values: 0.25 0.051272\n0.50 0.167780\n0.75 0.672390\nName: 10549, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3209857206213835, std values: 4.99526128062859, min values: 2.4887e-06, max values: 41.043, median values: 0.17812, and quantile values: 0.25 0.056851\n0.50 0.178120\n0.75 0.700595\nName: 10550, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5180683292069184, std values: 5.014837192315211, min values: 2.4878e-06, max values: 40.04, median values: 0.22749, and quantile values: 0.25 0.069468\n0.50 0.227490\n0.75 0.893255\nName: 10551, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4185628754849056, std values: 4.928217296400676, min values: 4.1361e-06, max values: 40.888, median values: 0.21301, and quantile values: 0.25 0.064528\n0.50 0.213010\n0.75 0.727140\nName: 10552, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4711720733025158, std values: 4.843223570639886, min values: 2.3269e-06, max values: 39.466, median values: 0.21336, and quantile values: 0.25 0.068218\n0.50 0.213360\n0.75 0.923140\nName: 10553, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5129727434144653, std values: 4.98248999743078, min values: 3.4756e-06, max values: 41.027, median values: 0.23994, and quantile values: 0.25 0.062086\n0.50 0.239940\n0.75 0.954410\nName: 10554, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6091382111937107, std values: 5.164663998326503, min values: 1.1308e-06, max values: 43.838, median values: 0.25608, and quantile values: 0.25 0.064084\n0.50 0.256080\n0.75 0.953740\nName: 10555, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.596124180091195, std values: 5.139565215815866, min values: 2.1372e-06, max values: 42.462, median values: 0.25472, and quantile values: 0.25 0.075012\n0.50 0.254720\n0.75 1.000270\nName: 10556, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6917849610911952, std values: 5.035437225383243, min values: 2.4944e-06, max values: 39.441, median values: 0.31438, and quantile values: 0.25 0.077168\n0.50 0.314380\n0.75 1.188250\nName: 10557, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6033739997333332, std values: 5.12718534988213, min values: 5.9154e-06, max values: 41.124, median values: 0.2605, and quantile values: 0.25 0.077737\n0.50 0.260500\n0.75 0.911600\nName: 10558, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3112770501388806, std values: 4.744283557529114, min values: 1.9612e-08, max values: 39.082, median values: 0.16269, and quantile values: 0.25 0.044926\n0.50 0.162690\n0.75 0.701240\nName: 10559, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2396104282979625, std values: 4.828632492794281, min values: 2.6886e-08, max values: 41.087, median values: 0.13213, and quantile values: 0.25 0.041102\n0.50 0.132130\n0.75 0.588000\nName: 10560, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5153383003271699, std values: 4.760094920791621, min values: 1.9642e-07, max values: 37.29, median values: 0.23457, and quantile values: 0.25 0.058955\n0.50 0.234570\n0.75 0.953920\nName: 10561, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4226897366459121, std values: 4.852888556869749, min values: 2.2479e-06, max values: 38.971, median values: 0.23399, and quantile values: 0.25 0.063975\n0.50 0.233990\n0.75 0.867285\nName: 10562, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.430593998030868, std values: 4.706263032600431, min values: 2.0108e-08, max values: 38.208, median values: 0.2154, and quantile values: 0.25 0.054015\n0.50 0.215400\n0.75 0.895280\nName: 10563, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4090463631911947, std values: 4.825959081155668, min values: 2.9049e-06, max values: 39.724, median values: 0.20368, and quantile values: 0.25 0.063849\n0.50 0.203680\n0.75 0.797730\nName: 10564, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6367996079842768, std values: 5.080229750924004, min values: 3.7995e-06, max values: 40.366, median values: 0.26194, and quantile values: 0.25 0.071533\n0.50 0.261940\n0.75 0.992220\nName: 10565, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6625170151925786, std values: 5.323403694894568, min values: 4.4552e-07, max values: 46.549, median values: 0.22664, and quantile values: 0.25 0.07026\n0.50 0.22664\n0.75 1.06605\nName: 10566, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8003972714886796, std values: 5.418561215107185, min values: 5.469e-07, max values: 47.754, median values: 0.27883, and quantile values: 0.25 0.074924\n0.50 0.278830\n0.75 1.345900\nName: 10567, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4923738356215095, std values: 4.965231560808107, min values: 5.7532e-07, max values: 41.754, median values: 0.20368, and quantile values: 0.25 0.058570\n0.50 0.203680\n0.75 0.850295\nName: 10568, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4912874999955974, std values: 5.085661182979842, min values: 2.1345e-06, max values: 41.742, median values: 0.24663, and quantile values: 0.25 0.061368\n0.50 0.246630\n0.75 0.909970\nName: 10569, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3468587935109435, std values: 4.840504417551352, min values: 1.1934e-07, max values: 39.527, median values: 0.17071, and quantile values: 0.25 0.052068\n0.50 0.170710\n0.75 0.783145\nName: 10570, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8604412643773582, std values: 5.267823118248212, min values: 3.7823e-06, max values: 41.693, median values: 0.34386, and quantile values: 0.25 0.097937\n0.50 0.343860\n0.75 1.347900\nName: 10571, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5075862264613649, std values: 4.885836373700589, min values: 2.3173e-08, max values: 41.404, median values: 0.20541, and quantile values: 0.25 0.043805\n0.50 0.205410\n0.75 0.894035\nName: 10572, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.0948852963943396, std values: 4.374186389342094, min values: 3.136e-07, max values: 38.29, median values: 0.12096, and quantile values: 0.25 0.040565\n0.50 0.120960\n0.75 0.509940\nName: 10573, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4495548753217424, std values: 4.890830157213316, min values: 1.7667e-08, max values: 41.433, median values: 0.17334, and quantile values: 0.25 0.049090\n0.50 0.173340\n0.75 0.848475\nName: 10574, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5073850879808175, std values: 4.862170529977401, min values: 8.4495e-07, max values: 38.368, median values: 0.20792, and quantile values: 0.25 0.059835\n0.50 0.207920\n0.75 0.969510\nName: 10575, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4562093007625785, std values: 5.068609327889334, min values: 6.7755e-07, max values: 43.82, median values: 0.2207, and quantile values: 0.25 0.054529\n0.50 0.220700\n0.75 0.853020\nName: 10576, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5395492517516354, std values: 4.977421346978816, min values: 6.1041e-07, max values: 41.274, median values: 0.25682, and quantile values: 0.25 0.071246\n0.50 0.256820\n0.75 0.956590\nName: 10577, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3370436270460377, std values: 4.747137606478013, min values: 5.7022e-07, max values: 37.938, median values: 0.18262, and quantile values: 0.25 0.05181\n0.50 0.18262\n0.75 0.71932\nName: 10578, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.403926568926415, std values: 5.0784514667224325, min values: 1.6112e-06, max values: 42.118, median values: 0.19248, and quantile values: 0.25 0.051924\n0.50 0.192480\n0.75 0.792800\nName: 10579, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2820496628842768, std values: 4.583692806159742, min values: 1.1223e-06, max values: 38.493, median values: 0.19556, and quantile values: 0.25 0.055368\n0.50 0.195560\n0.75 0.717725\nName: 10580, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4017086436305661, std values: 4.774363194050975, min values: 2.0486e-07, max values: 37.952, median values: 0.20673, and quantile values: 0.25 0.052951\n0.50 0.206730\n0.75 0.833605\nName: 10581, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9776373584716977, std values: 5.2698274631388164, min values: 1.6054e-06, max values: 40.394, median values: 0.35098, and quantile values: 0.25 0.093297\n0.50 0.350980\n0.75 1.528950\nName: 10582, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5472441110981134, std values: 5.035737813149075, min values: 1.7373e-06, max values: 40.119, median values: 0.24301, and quantile values: 0.25 0.060498\n0.50 0.243010\n0.75 1.006050\nName: 10583, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7772658053704402, std values: 5.110844860396925, min values: 1.5086e-06, max values: 40.404, median values: 0.29373, and quantile values: 0.25 0.085169\n0.50 0.293730\n0.75 1.248300\nName: 10584, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4100414432396227, std values: 4.863559532038059, min values: 1.318e-06, max values: 39.394, median values: 0.2094, and quantile values: 0.25 0.062399\n0.50 0.209400\n0.75 0.842205\nName: 10585, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6761909437849056, std values: 5.2577318532363435, min values: 5.5913e-06, max values: 42.677, median values: 0.29008, and quantile values: 0.25 0.080072\n0.50 0.290080\n0.75 1.041800\nName: 10586, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4686758245796854, std values: 4.85035657412102, min values: 1.9012e-07, max values: 40.481, median values: 0.21733, and quantile values: 0.25 0.046679\n0.50 0.217330\n0.75 0.872470\nName: 10587, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6203735148100626, std values: 4.978661281508795, min values: 8.972e-07, max values: 39.362, median values: 0.2662, and quantile values: 0.25 0.073151\n0.50 0.266200\n0.75 1.099850\nName: 10588, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.172660566391258, std values: 4.778829156616027, min values: 7.8121e-07, max values: 39.387, median values: 0.13328, and quantile values: 0.25 0.043242\n0.50 0.133280\n0.75 0.539815\nName: 10589, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5827496851333331, std values: 5.251314456276136, min values: 2.9991e-06, max values: 43.721, median values: 0.24175, and quantile values: 0.25 0.071734\n0.50 0.241750\n0.75 0.923035\nName: 10590, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3298000862922326, std values: 4.82815603598871, min values: 1.9385e-08, max values: 40.484, median values: 0.19, and quantile values: 0.25 0.045235\n0.50 0.190000\n0.75 0.735385\nName: 10591, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4776639720012579, std values: 4.81717145184317, min values: 1.7108e-06, max values: 38.509, median values: 0.2409, and quantile values: 0.25 0.071914\n0.50 0.240900\n0.75 0.920685\nName: 10592, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7260454905765406, std values: 5.15916405587206, min values: 4.3147e-07, max values: 42.357, median values: 0.30199, and quantile values: 0.25 0.074421\n0.50 0.301990\n0.75 1.151000\nName: 10593, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7313525542179873, std values: 5.04817162190491, min values: 9.2286e-07, max values: 40.36, median values: 0.31422, and quantile values: 0.25 0.094474\n0.50 0.314220\n0.75 1.218050\nName: 10594, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5387684619704403, std values: 5.0061292729355875, min values: 2.4898e-06, max values: 39.84, median values: 0.25128, and quantile values: 0.25 0.072929\n0.50 0.251280\n0.75 0.962880\nName: 10595, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4978489848597485, std values: 5.1600994865051, min values: 8.361e-07, max values: 44.89, median values: 0.2462, and quantile values: 0.25 0.065057\n0.50 0.246200\n0.75 0.906115\nName: 10596, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2510715359342768, std values: 4.482473839245472, min values: 5.2085e-07, max values: 37.711, median values: 0.15926, and quantile values: 0.25 0.044264\n0.50 0.159260\n0.75 0.677510\nName: 10597, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.49030724899678, std values: 4.830927433656511, min values: 1.8439e-08, max values: 39.859, median values: 0.19516, and quantile values: 0.25 0.042913\n0.50 0.195160\n0.75 0.863685\nName: 10598, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4787935471077358, std values: 5.078580620833016, min values: 9.7703e-07, max values: 42.198, median values: 0.20272, and quantile values: 0.25 0.056052\n0.50 0.202720\n0.75 0.849710\nName: 10599, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.565577811618868, std values: 5.066119484632225, min values: 3.7687e-06, max values: 40.637, median values: 0.23008, and quantile values: 0.25 0.073722\n0.50 0.230080\n0.75 1.022900\nName: 10600, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.466341054155346, std values: 4.922029975172257, min values: 8.24e-07, max values: 40.472, median values: 0.23167, and quantile values: 0.25 0.066593\n0.50 0.231670\n0.75 0.922730\nName: 10601, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4820012201936479, std values: 5.012225449310019, min values: 5.4009e-07, max values: 42.156, median values: 0.20438, and quantile values: 0.25 0.056756\n0.50 0.204380\n0.75 0.893370\nName: 10602, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6465748230157236, std values: 5.297629247962123, min values: 4.5372e-06, max values: 42.836, median values: 0.26111, and quantile values: 0.25 0.067858\n0.50 0.261110\n0.75 1.015850\nName: 10603, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4469180321830188, std values: 4.851742029635445, min values: 1.333e-06, max values: 39.185, median values: 0.21066, and quantile values: 0.25 0.064663\n0.50 0.210660\n0.75 0.845955\nName: 10604, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5012313734201257, std values: 4.975959087131792, min values: 1.0107e-06, max values: 40.998, median values: 0.26096, and quantile values: 0.25 0.06919\n0.50 0.26096\n0.75 0.93018\nName: 10605, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5134901003773584, std values: 4.91221462325056, min values: 1.1486e-06, max values: 39.607, median values: 0.22737, and quantile values: 0.25 0.065697\n0.50 0.227370\n0.75 0.895660\nName: 10606, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7109798071773585, std values: 5.239482035327567, min values: 6.2076e-06, max values: 41.431, median values: 0.29506, and quantile values: 0.25 0.084146\n0.50 0.295060\n0.75 1.029265\nName: 10607, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6013690985031446, std values: 5.0233391499459685, min values: 2.5899e-06, max values: 39.823, median values: 0.25526, and quantile values: 0.25 0.078138\n0.50 0.255260\n0.75 1.029400\nName: 10608, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4486996374296854, std values: 4.8049044349356365, min values: 5.3942e-07, max values: 38.74, median values: 0.23513, and quantile values: 0.25 0.059136\n0.50 0.235130\n0.75 0.912895\nName: 10609, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6700958636685534, std values: 4.9815571084062, min values: 3.1462e-06, max values: 39.763, median values: 0.25641, and quantile values: 0.25 0.072132\n0.50 0.256410\n0.75 1.098300\nName: 10610, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.371713945689937, std values: 4.948455520417866, min values: 1.1315e-06, max values: 40.389, median values: 0.16569, and quantile values: 0.25 0.051687\n0.50 0.165690\n0.75 0.753785\nName: 10611, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.585806126844654, std values: 5.0398948990326895, min values: 2.13e-06, max values: 40.875, median values: 0.25274, and quantile values: 0.25 0.074257\n0.50 0.252740\n0.75 0.942990\nName: 10612, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3123602660987421, std values: 4.855222037712748, min values: 1.1567e-06, max values: 39.165, median values: 0.15889, and quantile values: 0.25 0.051954\n0.50 0.158890\n0.75 0.706875\nName: 10613, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4721988823333334, std values: 4.586215306536285, min values: 2.1857e-06, max values: 39.466, median values: 0.238, and quantile values: 0.25 0.065016\n0.50 0.238000\n0.75 0.974940\nName: 10614, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4911546711589938, std values: 5.024937479016803, min values: 4.7698e-07, max values: 42.5, median values: 0.23387, and quantile values: 0.25 0.06136\n0.50 0.23387\n0.75 0.89154\nName: 10615, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4793030904779874, std values: 5.368239205818187, min values: 1.8711e-06, max values: 47.915, median values: 0.20402, and quantile values: 0.25 0.056093\n0.50 0.204020\n0.75 0.803570\nName: 10616, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5112883867433962, std values: 5.27318449270979, min values: 1.1705e-06, max values: 45.65, median values: 0.21824, and quantile values: 0.25 0.058292\n0.50 0.218240\n0.75 0.911530\nName: 10617, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4179134793528303, std values: 4.642574461601756, min values: 2.614e-06, max values: 39.791, median values: 0.24303, and quantile values: 0.25 0.063427\n0.50 0.243030\n0.75 0.857085\nName: 10618, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5410650267647799, std values: 5.130775600225294, min values: 3.646e-06, max values: 41.168, median values: 0.25515, and quantile values: 0.25 0.070886\n0.50 0.255150\n0.75 0.851575\nName: 10619, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.382512954471698, std values: 4.835812798727115, min values: 2.1738e-06, max values: 39.061, median values: 0.20145, and quantile values: 0.25 0.058967\n0.50 0.201450\n0.75 0.834625\nName: 10620, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.541782249534761, std values: 4.853777963040135, min values: 1.6627e-08, max values: 38.659, median values: 0.22746, and quantile values: 0.25 0.064049\n0.50 0.227460\n0.75 1.024585\nName: 10621, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4887419372713206, std values: 4.873818829898408, min values: 4.7404e-07, max values: 39.628, median values: 0.21094, and quantile values: 0.25 0.060426\n0.50 0.210940\n0.75 0.922695\nName: 10622, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.814066111257233, std values: 5.578454385482475, min values: 7.234e-07, max values: 49.646, median values: 0.27677, and quantile values: 0.25 0.079105\n0.50 0.276770\n0.75 1.270250\nName: 10623, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4648967717228554, std values: 4.878389739576179, min values: 1.9724e-08, max values: 40.308, median values: 0.20285, and quantile values: 0.25 0.047511\n0.50 0.202850\n0.75 0.827965\nName: 10624, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5022773823301887, std values: 5.069766990926269, min values: 3.7808e-06, max values: 41.158, median values: 0.2528, and quantile values: 0.25 0.066604\n0.50 0.252800\n0.75 0.830725\nName: 10625, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3659785578955155, std values: 4.558711015927112, min values: 2.3437e-08, max values: 37.04, median values: 0.14724, and quantile values: 0.25 0.043092\n0.50 0.147240\n0.75 0.744250\nName: 10626, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.354651660095786, std values: 4.855132452475307, min values: 9.4643e-07, max values: 39.724, median values: 0.19365, and quantile values: 0.25 0.062310\n0.50 0.193650\n0.75 0.751035\nName: 10627, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5404001750854714, std values: 4.811520564376759, min values: 6.1039e-07, max values: 38.186, median values: 0.24539, and quantile values: 0.25 0.063819\n0.50 0.245390\n0.75 0.999485\nName: 10628, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4330490917503145, std values: 4.68845190523202, min values: 1.1576e-06, max values: 38.129, median values: 0.22071, and quantile values: 0.25 0.055920\n0.50 0.220710\n0.75 0.881845\nName: 10629, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6422531411446544, std values: 5.233964455323754, min values: 2.4555e-06, max values: 43.301, median values: 0.25469, and quantile values: 0.25 0.068761\n0.50 0.254690\n0.75 1.038465\nName: 10630, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6268486022080502, std values: 5.184745051576324, min values: 6.3628e-07, max values: 43.938, median values: 0.22853, and quantile values: 0.25 0.064963\n0.50 0.228530\n0.75 1.048900\nName: 10631, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5756147805459118, std values: 4.927634643649556, min values: 1.8044e-06, max values: 38.636, median values: 0.25686, and quantile values: 0.25 0.083433\n0.50 0.256860\n0.75 1.008245\nName: 10632, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4239639160550945, std values: 4.841050259554858, min values: 1.1356e-07, max values: 38.895, median values: 0.20039, and quantile values: 0.25 0.051204\n0.50 0.200390\n0.75 0.840790\nName: 10633, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.361963216745912, std values: 4.881907109242699, min values: 1.6118e-06, max values: 39.46, median values: 0.18872, and quantile values: 0.25 0.05432\n0.50 0.18872\n0.75 0.73854\nName: 10634, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3088379636471446, std values: 4.611730391003353, min values: 2.0016e-08, max values: 36.773, median values: 0.1566, and quantile values: 0.25 0.041258\n0.50 0.156600\n0.75 0.677395\nName: 10635, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6325265139899372, std values: 5.023165516359156, min values: 3.861e-07, max values: 40.313, median values: 0.2675, and quantile values: 0.25 0.062608\n0.50 0.267500\n0.75 1.092300\nName: 10636, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6248317291943397, std values: 5.205247129587432, min values: 1.9109e-06, max values: 43.574, median values: 0.2597, and quantile values: 0.25 0.075728\n0.50 0.259700\n0.75 1.049950\nName: 10637, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.412881812471069, std values: 4.843015056922106, min values: 1.4984e-06, max values: 39.074, median values: 0.20526, and quantile values: 0.25 0.063129\n0.50 0.205260\n0.75 0.823295\nName: 10638, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6441811004984908, std values: 5.121990263667265, min values: 8.7726e-07, max values: 42.646, median values: 0.23728, and quantile values: 0.25 0.063855\n0.50 0.237280\n0.75 1.086200\nName: 10639, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4325838432284277, std values: 5.041990654642193, min values: 8.9252e-07, max values: 42.497, median values: 0.20505, and quantile values: 0.25 0.05512\n0.50 0.20505\n0.75 0.83135\nName: 10640, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6011333177037737, std values: 4.927567177399872, min values: 2.4752e-06, max values: 39.994, median values: 0.29585, and quantile values: 0.25 0.072035\n0.50 0.295850\n0.75 1.065865\nName: 10641, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5235448571415093, std values: 5.050634766000981, min values: 5.5784e-06, max values: 41.118, median values: 0.2217, and quantile values: 0.25 0.066707\n0.50 0.221700\n0.75 0.773980\nName: 10642, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5354341797735849, std values: 4.961979841316095, min values: 4.3479e-06, max values: 41.251, median values: 0.2426, and quantile values: 0.25 0.074665\n0.50 0.242600\n0.75 0.899490\nName: 10643, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5255928670672956, std values: 4.715766482972446, min values: 1.3002e-06, max values: 38.526, median values: 0.2854, and quantile values: 0.25 0.070417\n0.50 0.285400\n0.75 1.023770\nName: 10644, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.380579462292893, std values: 4.659987080764499, min values: 4.1037e-07, max values: 37.753, median values: 0.17173, and quantile values: 0.25 0.053396\n0.50 0.171730\n0.75 0.817105\nName: 10645, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6098672093666666, std values: 5.033056234388509, min values: 1.348e-06, max values: 40.502, median values: 0.25412, and quantile values: 0.25 0.073234\n0.50 0.254120\n0.75 1.077600\nName: 10646, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.558438740689308, std values: 5.162312847244322, min values: 1.4678e-06, max values: 43.162, median values: 0.21763, and quantile values: 0.25 0.061038\n0.50 0.217630\n0.75 0.907135\nName: 10647, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3650760876032075, std values: 4.745154943733298, min values: 9.2741e-07, max values: 38.31, median values: 0.18615, and quantile values: 0.25 0.054258\n0.50 0.186150\n0.75 0.796140\nName: 10648, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2923662027522014, std values: 4.546575619392022, min values: 6.509e-07, max values: 37.602, median values: 0.14999, and quantile values: 0.25 0.046173\n0.50 0.149990\n0.75 0.728210\nName: 10649, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5230006654694965, std values: 5.00221552433012, min values: 9.0415e-07, max values: 41.135, median values: 0.22024, and quantile values: 0.25 0.067407\n0.50 0.220240\n0.75 0.898105\nName: 10650, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.827104099562893, std values: 5.111165574771016, min values: 6.259e-07, max values: 39.162, median values: 0.33964, and quantile values: 0.25 0.10302\n0.50 0.33964\n0.75 1.31345\nName: 10651, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5991933179157232, std values: 4.989790977308617, min values: 3.388e-06, max values: 39.402, median values: 0.2695, and quantile values: 0.25 0.080373\n0.50 0.269500\n0.75 0.993445\nName: 10652, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.409487280307484, std values: 5.009906878048564, min values: 5.2309e-07, max values: 42.456, median values: 0.18778, and quantile values: 0.25 0.050793\n0.50 0.187780\n0.75 0.765540\nName: 10653, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.357827686782132, std values: 4.791791154982738, min values: 2.0239e-08, max values: 39.226, median values: 0.19751, and quantile values: 0.25 0.044161\n0.50 0.197510\n0.75 0.749240\nName: 10654, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.330353334212264, std values: 4.9704496506209574, min values: 9.4845e-07, max values: 41.864, median values: 0.17182, and quantile values: 0.25 0.043801\n0.50 0.171820\n0.75 0.692460\nName: 10655, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.431012864046239, std values: 4.844167671174351, min values: 7.4522e-08, max values: 39.817, median values: 0.18474, and quantile values: 0.25 0.05349\n0.50 0.18474\n0.75 0.84186\nName: 10656, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5865096147605031, std values: 4.963160206728909, min values: 2.7862e-07, max values: 40.239, median values: 0.23568, and quantile values: 0.25 0.056748\n0.50 0.235680\n0.75 1.005360\nName: 10657, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3195561203138366, std values: 4.5652624484447815, min values: 1.8729e-06, max values: 38.509, median values: 0.18507, and quantile values: 0.25 0.06060\n0.50 0.18507\n0.75 0.75937\nName: 10658, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5443789745031447, std values: 4.777582677338433, min values: 3.1611e-06, max values: 39.246, median values: 0.23879, and quantile values: 0.25 0.077313\n0.50 0.238790\n0.75 1.015435\nName: 10659, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2707592746070755, std values: 4.605193569490705, min values: 2.9625e-08, max values: 37.788, median values: 0.16261, and quantile values: 0.25 0.041510\n0.50 0.162610\n0.75 0.656115\nName: 10660, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6809997680564779, std values: 4.959508872585135, min values: 3.3268e-07, max values: 38.545, median values: 0.29479, and quantile values: 0.25 0.067455\n0.50 0.294790\n0.75 1.219400\nName: 10661, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1859676005842767, std values: 4.7281928268021165, min values: 1.2999e-06, max values: 38.898, median values: 0.14859, and quantile values: 0.25 0.039679\n0.50 0.148590\n0.75 0.583770\nName: 10662, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5819233987514465, std values: 5.1984187860537725, min values: 1.9928e-07, max values: 45.474, median values: 0.2404, and quantile values: 0.25 0.066303\n0.50 0.240400\n0.75 0.963565\nName: 10663, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4496176992390568, std values: 4.8679690598956755, min values: 2.5391e-07, max values: 39.861, median values: 0.19914, and quantile values: 0.25 0.058762\n0.50 0.199140\n0.75 0.857500\nName: 10664, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.593112920714346, std values: 4.8147614951492255, min values: 3.8381e-08, max values: 37.426, median values: 0.22352, and quantile values: 0.25 0.057433\n0.50 0.223520\n0.75 1.112550\nName: 10665, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.412193156381824, std values: 4.642992385831926, min values: 2.9591e-07, max values: 37.096, median values: 0.24395, and quantile values: 0.25 0.054569\n0.50 0.243950\n0.75 0.871325\nName: 10666, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.350250039722629, std values: 4.830780078867938, min values: 2.6128e-08, max values: 40.578, median values: 0.14122, and quantile values: 0.25 0.041458\n0.50 0.141220\n0.75 0.697115\nName: 10667, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4813571482150947, std values: 5.044573596883772, min values: 1.3452e-06, max values: 40.97, median values: 0.22111, and quantile values: 0.25 0.059160\n0.50 0.221110\n0.75 0.897415\nName: 10668, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5575341439893082, std values: 4.980122375378672, min values: 3.9427e-06, max values: 40.322, median values: 0.2373, and quantile values: 0.25 0.068023\n0.50 0.237300\n0.75 0.983260\nName: 10669, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6207107489672958, std values: 4.886784148980833, min values: 2.3382e-06, max values: 39.108, median values: 0.30159, and quantile values: 0.25 0.084821\n0.50 0.301590\n0.75 1.072600\nName: 10670, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5171400285154089, std values: 5.097719348820005, min values: 7.2215e-07, max values: 43.028, median values: 0.21446, and quantile values: 0.25 0.057771\n0.50 0.214460\n0.75 0.928900\nName: 10671, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5093290024062893, std values: 5.082906302874679, min values: 2.3121e-06, max values: 42.23, median values: 0.24665, and quantile values: 0.25 0.068999\n0.50 0.246650\n0.75 0.887740\nName: 10672, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5741480587646541, std values: 5.077902073526034, min values: 3.0498e-07, max values: 42.743, median values: 0.24628, and quantile values: 0.25 0.061754\n0.50 0.246280\n0.75 0.921995\nName: 10673, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.852221660218239, std values: 5.027423258359152, min values: 3.1551e-06, max values: 38.925, median values: 0.36289, and quantile values: 0.25 0.105895\n0.50 0.362890\n0.75 1.292950\nName: 10674, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5132129647257861, std values: 5.036888888778797, min values: 2.4865e-06, max values: 40.526, median values: 0.23438, and quantile values: 0.25 0.069038\n0.50 0.234380\n0.75 0.895155\nName: 10675, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3205727501680502, std values: 4.9725188392853505, min values: 1.0382e-07, max values: 43.437, median values: 0.13917, and quantile values: 0.25 0.040456\n0.50 0.139170\n0.75 0.715415\nName: 10676, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.632287520509434, std values: 5.348456828186744, min values: 3.8419e-06, max values: 46.029, median values: 0.24284, and quantile values: 0.25 0.071494\n0.50 0.242840\n0.75 0.999215\nName: 10677, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6095551131408805, std values: 4.952151227163771, min values: 2.1772e-06, max values: 39.968, median values: 0.24823, and quantile values: 0.25 0.073525\n0.50 0.248230\n0.75 1.049800\nName: 10678, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6131675561314465, std values: 5.1332231123907865, min values: 4.5787e-06, max values: 40.598, median values: 0.28282, and quantile values: 0.25 0.078317\n0.50 0.282820\n0.75 0.983185\nName: 10679, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.624593649083019, std values: 5.210681888504276, min values: 1.3649e-06, max values: 44.596, median values: 0.25207, and quantile values: 0.25 0.068992\n0.50 0.252070\n0.75 1.065200\nName: 10680, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.445713825116352, std values: 4.829832434438934, min values: 1.5698e-06, max values: 38.923, median values: 0.22079, and quantile values: 0.25 0.067513\n0.50 0.220790\n0.75 0.866935\nName: 10681, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3840933206742139, std values: 4.820004655552707, min values: 1.4859e-06, max values: 39.106, median values: 0.19739, and quantile values: 0.25 0.054959\n0.50 0.197390\n0.75 0.831400\nName: 10682, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3694464536628932, std values: 4.941398724997032, min values: 2.369e-06, max values: 40.275, median values: 0.19362, and quantile values: 0.25 0.059508\n0.50 0.193620\n0.75 0.777605\nName: 10683, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.82681012311761, std values: 5.580182336804506, min values: 9.6577e-06, max values: 43.388, median values: 0.27785, and quantile values: 0.25 0.082928\n0.50 0.277850\n0.75 1.121050\nName: 10684, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.544078748454088, std values: 5.013590539417285, min values: 1.0718e-06, max values: 41.642, median values: 0.21697, and quantile values: 0.25 0.070828\n0.50 0.216970\n0.75 0.924615\nName: 10685, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4883255199549057, std values: 4.846747265798558, min values: 2.9813e-07, max values: 39.548, median values: 0.22816, and quantile values: 0.25 0.061410\n0.50 0.228160\n0.75 0.903855\nName: 10686, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7376241315452832, std values: 5.071171291054113, min values: 1.8785e-06, max values: 39.873, median values: 0.31834, and quantile values: 0.25 0.081539\n0.50 0.318340\n0.75 1.215700\nName: 10687, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4735539132044024, std values: 4.855542580976597, min values: 0.0, max values: 39.78, median values: 0.25881, and quantile values: 0.25 0.068122\n0.50 0.258810\n0.75 0.866100\nName: 10688, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9532163280767296, std values: 5.563408216487016, min values: 7.6172e-06, max values: 45.015, median values: 0.3663, and quantile values: 0.25 0.10969\n0.50 0.36630\n0.75 1.26585\nName: 10689, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2694033470192452, std values: 4.7690784506142005, min values: 8.5976e-07, max values: 38.698, median values: 0.17829, and quantile values: 0.25 0.049529\n0.50 0.178290\n0.75 0.675505\nName: 10690, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4963129850144654, std values: 4.966021716496057, min values: 4.016e-06, max values: 40.452, median values: 0.21718, and quantile values: 0.25 0.060989\n0.50 0.217180\n0.75 0.818475\nName: 10691, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4160989056163524, std values: 4.805921237131841, min values: 6.443e-07, max values: 39.309, median values: 0.19069, and quantile values: 0.25 0.052631\n0.50 0.190690\n0.75 0.842020\nName: 10692, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4122460557195597, std values: 4.907395808101103, min values: 5.2081e-07, max values: 39.877, median values: 0.20846, and quantile values: 0.25 0.055191\n0.50 0.208460\n0.75 0.752490\nName: 10693, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.580751016642956, std values: 5.268417012651245, min values: 9.1953e-07, max values: 45.979, median values: 0.25178, and quantile values: 0.25 0.065143\n0.50 0.251780\n0.75 0.968830\nName: 10694, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.60452422583522, std values: 5.198670763211003, min values: 5.753e-07, max values: 44.116, median values: 0.25616, and quantile values: 0.25 0.062398\n0.50 0.256160\n0.75 0.915710\nName: 10695, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4708757145119495, std values: 4.755475163488495, min values: 1.5267e-06, max values: 37.772, median values: 0.24512, and quantile values: 0.25 0.069097\n0.50 0.245120\n0.75 0.860400\nName: 10696, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5380365141201258, std values: 4.9187022273892955, min values: 1.7437e-06, max values: 39.16, median values: 0.22312, and quantile values: 0.25 0.063919\n0.50 0.223120\n0.75 1.011100\nName: 10697, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2402283829811949, std values: 4.65144157309767, min values: 7.5751e-07, max values: 38.901, median values: 0.17016, and quantile values: 0.25 0.045784\n0.50 0.170160\n0.75 0.713995\nName: 10698, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3570852444603771, std values: 4.973391946510755, min values: 3.0692e-06, max values: 40.762, median values: 0.19273, and quantile values: 0.25 0.055068\n0.50 0.192730\n0.75 0.733795\nName: 10699, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6459905200371072, std values: 5.3450724041596525, min values: 3.7512e-06, max values: 44.917, median values: 0.23248, and quantile values: 0.25 0.074175\n0.50 0.232480\n0.75 0.993820\nName: 10700, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.478785929862327, std values: 4.745592700127914, min values: 5.1091e-07, max values: 37.17, median values: 0.1995, and quantile values: 0.25 0.060616\n0.50 0.199500\n0.75 0.959710\nName: 10701, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5776647971654087, std values: 4.899196205037815, min values: 1.317e-06, max values: 39.026, median values: 0.24557, and quantile values: 0.25 0.066306\n0.50 0.245570\n0.75 1.045950\nName: 10702, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7052554434125786, std values: 5.1409347890832, min values: 5.9756e-06, max values: 40.315, median values: 0.30662, and quantile values: 0.25 0.084451\n0.50 0.306620\n0.75 1.047800\nName: 10703, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3362890617125156, std values: 4.907962251133382, min values: 5.8559e-07, max values: 40.504, median values: 0.16597, and quantile values: 0.25 0.051072\n0.50 0.165970\n0.75 0.753030\nName: 10704, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4703529382125786, std values: 5.042898968676125, min values: 1.01e-06, max values: 41.449, median values: 0.17094, and quantile values: 0.25 0.052360\n0.50 0.170940\n0.75 0.864725\nName: 10705, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.598958437537107, std values: 5.2270116780036195, min values: 2.0863e-06, max values: 44.389, median values: 0.24092, and quantile values: 0.25 0.072189\n0.50 0.240920\n0.75 0.961615\nName: 10706, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6801054072440254, std values: 5.011623041185701, min values: 3.3305e-06, max values: 39.056, median values: 0.3081, and quantile values: 0.25 0.081883\n0.50 0.308100\n0.75 1.137450\nName: 10707, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.53267838366805, std values: 4.764688521168874, min values: 5.1862e-07, max values: 37.049, median values: 0.26107, and quantile values: 0.25 0.066196\n0.50 0.261070\n0.75 0.986170\nName: 10708, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4887721822830189, std values: 5.0623065841619015, min values: 1.2192e-06, max values: 43.441, median values: 0.22972, and quantile values: 0.25 0.066814\n0.50 0.229720\n0.75 0.897060\nName: 10709, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4541834099779873, std values: 5.026531067840756, min values: 8.885e-07, max values: 41.917, median values: 0.19128, and quantile values: 0.25 0.056183\n0.50 0.191280\n0.75 0.823185\nName: 10710, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.581414350083648, std values: 4.998960988223613, min values: 2.1767e-06, max values: 39.501, median values: 0.25297, and quantile values: 0.25 0.069353\n0.50 0.252970\n0.75 0.998255\nName: 10711, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.404052493004717, std values: 4.88276751260831, min values: 2.1941e-08, max values: 41.718, median values: 0.16351, and quantile values: 0.25 0.037003\n0.50 0.163510\n0.75 0.744300\nName: 10712, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7409199488937106, std values: 5.196991545704898, min values: 5.139e-06, max values: 40.593, median values: 0.33637, and quantile values: 0.25 0.09931\n0.50 0.33637\n0.75 1.03210\nName: 10713, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.536241926890566, std values: 5.02306733662632, min values: 1.7101e-06, max values: 41.072, median values: 0.22135, and quantile values: 0.25 0.062314\n0.50 0.221350\n0.75 0.939215\nName: 10714, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4474621991861631, std values: 4.822823216450442, min values: 4.0805e-06, max values: 40.282, median values: 0.21037, and quantile values: 0.25 0.068442\n0.50 0.210370\n0.75 0.803590\nName: 10715, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2167397580281132, std values: 4.517077299295547, min values: 7.6037e-07, max values: 37.948, median values: 0.15979, and quantile values: 0.25 0.048755\n0.50 0.159790\n0.75 0.567595\nName: 10716, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.463560771218239, std values: 4.921471177455485, min values: 3.7938e-06, max values: 40.533, median values: 0.22507, and quantile values: 0.25 0.065620\n0.50 0.225070\n0.75 0.872235\nName: 10717, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.353121010651132, std values: 4.771382022360886, min values: 1.5783e-07, max values: 38.519, median values: 0.18233, and quantile values: 0.25 0.051584\n0.50 0.182330\n0.75 0.813845\nName: 10718, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6384546965270441, std values: 5.013204875710418, min values: 1.4066e-06, max values: 39.802, median values: 0.30778, and quantile values: 0.25 0.089721\n0.50 0.307780\n0.75 1.073850\nName: 10719, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.501983138141761, std values: 5.056054875457963, min values: 3.3145e-07, max values: 43.795, median values: 0.21785, and quantile values: 0.25 0.053164\n0.50 0.217850\n0.75 0.861205\nName: 10720, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6952003139635219, std values: 5.132889669345022, min values: 4.177e-06, max values: 40.136, median values: 0.27413, and quantile values: 0.25 0.072985\n0.50 0.274130\n0.75 1.105500\nName: 10721, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2887063034660375, std values: 4.700267154694712, min values: 1.8857e-06, max values: 39.052, median values: 0.16311, and quantile values: 0.25 0.05297\n0.50 0.16311\n0.75 0.68501\nName: 10722, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4191648120791194, std values: 4.739226683576625, min values: 2.0073e-07, max values: 38.193, median values: 0.21228, and quantile values: 0.25 0.050119\n0.50 0.212280\n0.75 0.814035\nName: 10723, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6196758757408176, std values: 4.787527953134259, min values: 7.3119e-07, max values: 38.234, median values: 0.30014, and quantile values: 0.25 0.076349\n0.50 0.300140\n0.75 1.142850\nName: 10724, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3902992329842765, std values: 4.8272133014683485, min values: 1.7166e-06, max values: 40.253, median values: 0.19211, and quantile values: 0.25 0.057227\n0.50 0.192110\n0.75 0.792040\nName: 10725, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3972512894301259, std values: 4.8058895573441385, min values: 3.8799e-07, max values: 38.463, median values: 0.20953, and quantile values: 0.25 0.052669\n0.50 0.209530\n0.75 0.822480\nName: 10726, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4437099332625787, std values: 4.615703379397844, min values: 2.9935e-07, max values: 37.252, median values: 0.21189, and quantile values: 0.25 0.057476\n0.50 0.211890\n0.75 0.892435\nName: 10727, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2421327314978805, std values: 4.715640757479036, min values: 1.5448e-08, max values: 39.596, median values: 0.1302, and quantile values: 0.25 0.033573\n0.50 0.130200\n0.75 0.564840\nName: 10728, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6729679194867924, std values: 5.260502701194041, min values: 2.1259e-06, max values: 44.674, median values: 0.28488, and quantile values: 0.25 0.073321\n0.50 0.284880\n0.75 1.060800\nName: 10729, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4191736216402515, std values: 5.1075954788482, min values: 2.0138e-06, max values: 42.512, median values: 0.19884, and quantile values: 0.25 0.058284\n0.50 0.198840\n0.75 0.802540\nName: 10730, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7172259858421386, std values: 5.14572779665428, min values: 1.3304e-06, max values: 42.116, median values: 0.29143, and quantile values: 0.25 0.08073\n0.50 0.29143\n0.75 1.17680\nName: 10731, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3163659504316352, std values: 4.51510886112106, min values: 4.4443e-07, max values: 36.792, median values: 0.17212, and quantile values: 0.25 0.043327\n0.50 0.172120\n0.75 0.726555\nName: 10732, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.57745296024522, std values: 4.8928895815221605, min values: 2.3289e-07, max values: 38.422, median values: 0.24694, and quantile values: 0.25 0.059812\n0.50 0.246940\n0.75 1.057150\nName: 10733, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5965074811333333, std values: 5.065244793410481, min values: 3.0621e-06, max values: 40.262, median values: 0.24821, and quantile values: 0.25 0.07418\n0.50 0.24821\n0.75 0.99892\nName: 10734, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4377882896213836, std values: 4.7122262757948805, min values: 2.6292e-06, max values: 39.047, median values: 0.22179, and quantile values: 0.25 0.069887\n0.50 0.221790\n0.75 0.886585\nName: 10735, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6650196723264152, std values: 5.305589436369424, min values: 4.7885e-06, max values: 43.927, median values: 0.27488, and quantile values: 0.25 0.084068\n0.50 0.274880\n0.75 1.001885\nName: 10736, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6805929215918236, std values: 5.143167918260839, min values: 1.3742e-06, max values: 42.266, median values: 0.2845, and quantile values: 0.25 0.074601\n0.50 0.284500\n0.75 1.138900\nName: 10737, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4384167380811321, std values: 4.736543971211937, min values: 2.8273e-06, max values: 39.982, median values: 0.1812, and quantile values: 0.25 0.052868\n0.50 0.181200\n0.75 0.899450\nName: 10738, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.339640386859434, std values: 4.631812063692695, min values: 5.1955e-07, max values: 37.382, median values: 0.16602, and quantile values: 0.25 0.047995\n0.50 0.166020\n0.75 0.730040\nName: 10739, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4254736312669183, std values: 4.768548905161098, min values: 9.9094e-07, max values: 38.509, median values: 0.20786, and quantile values: 0.25 0.059454\n0.50 0.207860\n0.75 0.842110\nName: 10740, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5304216351433964, std values: 5.099546401462352, min values: 1.4711e-06, max values: 42.664, median values: 0.22436, and quantile values: 0.25 0.067444\n0.50 0.224360\n0.75 1.046650\nName: 10741, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3907253428277988, std values: 5.049043145382065, min values: 7.3262e-07, max values: 44.318, median values: 0.18082, and quantile values: 0.25 0.057949\n0.50 0.180820\n0.75 0.779970\nName: 10742, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4554850229868557, std values: 5.050149897251804, min values: 8.0711e-07, max values: 42.447, median values: 0.18327, and quantile values: 0.25 0.058439\n0.50 0.183270\n0.75 0.896720\nName: 10743, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.522657058591195, std values: 4.995888583571109, min values: 3.7872e-06, max values: 40.065, median values: 0.24694, and quantile values: 0.25 0.071294\n0.50 0.246940\n0.75 0.868155\nName: 10744, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5365520448226413, std values: 5.012977954236443, min values: 1.722e-06, max values: 40.365, median values: 0.227, and quantile values: 0.25 0.063605\n0.50 0.227000\n0.75 0.964005\nName: 10745, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5616422759264152, std values: 4.932473209834453, min values: 2.2918e-06, max values: 39.241, median values: 0.23853, and quantile values: 0.25 0.071143\n0.50 0.238530\n0.75 1.009050\nName: 10746, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.429524887408805, std values: 4.893912660641858, min values: 1.6885e-06, max values: 39.593, median values: 0.19783, and quantile values: 0.25 0.060695\n0.50 0.197830\n0.75 0.835560\nName: 10747, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5810665990367294, std values: 4.806357635099928, min values: 6.8804e-07, max values: 38.248, median values: 0.23425, and quantile values: 0.25 0.055867\n0.50 0.234250\n0.75 1.043450\nName: 10748, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5633982009528302, std values: 5.076000471182771, min values: 1.4453e-06, max values: 42.025, median values: 0.25195, and quantile values: 0.25 0.067886\n0.50 0.251950\n0.75 0.971930\nName: 10749, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5157482660581132, std values: 4.767972576675021, min values: 2.6114e-07, max values: 37.272, median values: 0.29567, and quantile values: 0.25 0.071402\n0.50 0.295670\n0.75 0.996340\nName: 10750, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.815558092785283, std values: 5.223946581910741, min values: 4.7826e-07, max values: 42.618, median values: 0.3218, and quantile values: 0.25 0.072714\n0.50 0.321800\n0.75 1.231000\nName: 10751, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6234726048238997, std values: 4.960836343653467, min values: 3.5693e-06, max values: 39.721, median values: 0.28037, and quantile values: 0.25 0.08292\n0.50 0.28037\n0.75 1.03585\nName: 10752, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3351800905735849, std values: 4.644693901022664, min values: 1.7306e-06, max values: 37.741, median values: 0.20373, and quantile values: 0.25 0.064011\n0.50 0.203730\n0.75 0.769145\nName: 10753, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3608403914114464, std values: 4.94619123434133, min values: 1.442e-08, max values: 42.231, median values: 0.17364, and quantile values: 0.25 0.048858\n0.50 0.173640\n0.75 0.782550\nName: 10754, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3908095402800629, std values: 4.7117420550309, min values: 9.4063e-07, max values: 38.765, median values: 0.19205, and quantile values: 0.25 0.057328\n0.50 0.192050\n0.75 0.896860\nName: 10755, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2245979746100628, std values: 4.812727136562448, min values: 1.2537e-06, max values: 39.028, median values: 0.13749, and quantile values: 0.25 0.045927\n0.50 0.137490\n0.75 0.642645\nName: 10756, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2743907861012136, std values: 4.569180359225112, min values: 4.052e-08, max values: 36.493, median values: 0.12554, and quantile values: 0.25 0.026364\n0.50 0.125540\n0.75 0.655600\nName: 10757, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3901156619253459, std values: 4.779407727709678, min values: 3.0223e-07, max values: 38.129, median values: 0.19066, and quantile values: 0.25 0.054135\n0.50 0.190660\n0.75 0.708940\nName: 10758, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4503457343830188, std values: 4.879452852461115, min values: 1.0726e-06, max values: 38.883, median values: 0.19966, and quantile values: 0.25 0.056940\n0.50 0.199660\n0.75 0.891205\nName: 10759, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5106453913538993, std values: 4.9743953450696115, min values: 5.2047e-07, max values: 41.415, median values: 0.2295, and quantile values: 0.25 0.062746\n0.50 0.229500\n0.75 0.942995\nName: 10760, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4757322779383648, std values: 4.7590800222570895, min values: 2.107e-06, max values: 39.551, median values: 0.21938, and quantile values: 0.25 0.065545\n0.50 0.219380\n0.75 0.913320\nName: 10761, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5037831762658491, std values: 4.763044309947881, min values: 9.6637e-07, max values: 38.05, median values: 0.25222, and quantile values: 0.25 0.068073\n0.50 0.252220\n0.75 0.951420\nName: 10762, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4403740419842765, std values: 4.89503192793437, min values: 2.637e-06, max values: 40.313, median values: 0.22335, and quantile values: 0.25 0.058239\n0.50 0.223350\n0.75 0.871855\nName: 10763, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5398235079750755, std values: 4.9115686180729705, min values: 2.9687e-08, max values: 40.478, median values: 0.23264, and quantile values: 0.25 0.04767\n0.50 0.23264\n0.75 1.02860\nName: 10764, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.406228437508371, std values: 4.979068372885117, min values: 4.5761e-08, max values: 42.807, median values: 0.17056, and quantile values: 0.25 0.043901\n0.50 0.170560\n0.75 0.797110\nName: 10765, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.0057537803132077, std values: 5.511872320301888, min values: 3.1467e-06, max values: 45.195, median values: 0.35281, and quantile values: 0.25 0.09584\n0.50 0.35281\n0.75 1.44625\nName: 10766, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5368814108716982, std values: 4.845327070706754, min values: 3.5018e-06, max values: 39.549, median values: 0.24957, and quantile values: 0.25 0.073138\n0.50 0.249570\n0.75 0.987905\nName: 10767, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.52392132271761, std values: 4.943652460953758, min values: 3.5377e-06, max values: 39.903, median values: 0.24587, and quantile values: 0.25 0.067687\n0.50 0.245870\n0.75 0.904475\nName: 10768, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5916523503106919, std values: 5.1247279485404835, min values: 1.0084e-06, max values: 42.936, median values: 0.26594, and quantile values: 0.25 0.074714\n0.50 0.265940\n0.75 0.948990\nName: 10769, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5683912651679248, std values: 4.875989496688497, min values: 2.5145e-06, max values: 39.676, median values: 0.24251, and quantile values: 0.25 0.070312\n0.50 0.242510\n0.75 1.000540\nName: 10770, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3886808217383646, std values: 4.589117915325518, min values: 1.4872e-06, max values: 37.748, median values: 0.20657, and quantile values: 0.25 0.066168\n0.50 0.206570\n0.75 0.833460\nName: 10771, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3337382824446538, std values: 4.780261236766091, min values: 1.1875e-06, max values: 38.606, median values: 0.16614, and quantile values: 0.25 0.060972\n0.50 0.166140\n0.75 0.735335\nName: 10772, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4140233802540252, std values: 4.719868451688244, min values: 1.15e-07, max values: 37.82, median values: 0.19339, and quantile values: 0.25 0.051106\n0.50 0.193390\n0.75 0.877790\nName: 10773, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.350884584337107, std values: 4.770196382130221, min values: 2.3584e-06, max values: 39.756, median values: 0.2064, and quantile values: 0.25 0.053055\n0.50 0.206400\n0.75 0.765875\nName: 10774, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5020604388572327, std values: 4.937996670160381, min values: 4.8062e-06, max values: 41.278, median values: 0.22403, and quantile values: 0.25 0.070089\n0.50 0.224030\n0.75 0.833490\nName: 10775, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5989613231062896, std values: 5.075394431032206, min values: 1.7582e-06, max values: 41.59, median values: 0.27691, and quantile values: 0.25 0.072114\n0.50 0.276910\n0.75 1.023150\nName: 10776, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4052609521381132, std values: 4.76204630936777, min values: 6.7866e-07, max values: 38.592, median values: 0.20271, and quantile values: 0.25 0.058651\n0.50 0.202710\n0.75 0.875835\nName: 10777, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4925674160534592, std values: 5.1661880474890225, min values: 3.8529e-06, max values: 42.552, median values: 0.22226, and quantile values: 0.25 0.073580\n0.50 0.222260\n0.75 0.830935\nName: 10778, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5206575151155974, std values: 5.040033491979254, min values: 2.4608e-07, max values: 42.874, median values: 0.23031, and quantile values: 0.25 0.054553\n0.50 0.230310\n0.75 0.917030\nName: 10779, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.406286425207547, std values: 4.932457304051178, min values: 1.589e-06, max values: 40.427, median values: 0.19472, and quantile values: 0.25 0.059116\n0.50 0.194720\n0.75 0.814615\nName: 10780, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2892394318969371, std values: 4.450000170689805, min values: 0.0, max values: 36.051, median values: 0.18926, and quantile values: 0.25 0.044362\n0.50 0.189260\n0.75 0.732755\nName: 10781, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.274619204072327, std values: 4.98511294043675, min values: 2.2844e-06, max values: 40.72, median values: 0.14957, and quantile values: 0.25 0.045075\n0.50 0.149570\n0.75 0.633450\nName: 10782, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.312188905854717, std values: 4.831852408164413, min values: 1.8872e-06, max values: 38.929, median values: 0.17844, and quantile values: 0.25 0.054584\n0.50 0.178440\n0.75 0.695825\nName: 10783, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5772559775477988, std values: 5.048843935921356, min values: 4.1338e-06, max values: 40.694, median values: 0.27671, and quantile values: 0.25 0.078831\n0.50 0.276710\n0.75 0.919185\nName: 10784, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3315629776501634, std values: 5.170854051570627, min values: 1.2466e-08, max values: 47.076, median values: 0.15677, and quantile values: 0.25 0.038365\n0.50 0.156770\n0.75 0.683270\nName: 10785, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5474203241427673, std values: 5.091636832992921, min values: 6.429e-07, max values: 43.471, median values: 0.2153, and quantile values: 0.25 0.067725\n0.50 0.215300\n0.75 0.943160\nName: 10786, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3777315890689683, std values: 4.491256314320397, min values: 2.1856e-08, max values: 37.288, median values: 0.18576, and quantile values: 0.25 0.047152\n0.50 0.185760\n0.75 0.876360\nName: 10787, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.607169023153459, std values: 4.9783968901866, min values: 3.5012e-06, max values: 39.963, median values: 0.24988, and quantile values: 0.25 0.07933\n0.50 0.24988\n0.75 1.05520\nName: 10788, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5930038704081761, std values: 4.883598597889812, min values: 2.0517e-06, max values: 39.473, median values: 0.29847, and quantile values: 0.25 0.076350\n0.50 0.298470\n0.75 1.016975\nName: 10789, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.527543119760377, std values: 5.020207450628764, min values: 1.4321e-06, max values: 41.705, median values: 0.2165, and quantile values: 0.25 0.068077\n0.50 0.216500\n0.75 0.956875\nName: 10790, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.769154442306289, std values: 5.108744889593276, min values: 2.6686e-06, max values: 39.578, median values: 0.28949, and quantile values: 0.25 0.084638\n0.50 0.289490\n0.75 1.211400\nName: 10791, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5667673133713207, std values: 5.077164448538284, min values: 9.0604e-07, max values: 41.997, median values: 0.25911, and quantile values: 0.25 0.067141\n0.50 0.259110\n0.75 1.015775\nName: 10792, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.430601453185346, std values: 4.935081536337596, min values: 9.2127e-07, max values: 40.739, median values: 0.18109, and quantile values: 0.25 0.057513\n0.50 0.181090\n0.75 0.843960\nName: 10793, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5652472126792454, std values: 4.981320245126335, min values: 1.0371e-06, max values: 39.729, median values: 0.24585, and quantile values: 0.25 0.063632\n0.50 0.245850\n0.75 0.955820\nName: 10794, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3531432541515724, std values: 4.791540683079687, min values: 1.7985e-06, max values: 39.693, median values: 0.20801, and quantile values: 0.25 0.054484\n0.50 0.208010\n0.75 0.790830\nName: 10795, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3289799433233334, std values: 4.739727340430123, min values: 3.8748e-07, max values: 38.804, median values: 0.16655, and quantile values: 0.25 0.042886\n0.50 0.166550\n0.75 0.731805\nName: 10796, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4522791993949058, std values: 4.583566053365289, min values: 6.4309e-07, max values: 38.387, median values: 0.25048, and quantile values: 0.25 0.058365\n0.50 0.250480\n0.75 0.932035\nName: 10797, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1170836005513207, std values: 4.820994189210445, min values: 3.9406e-07, max values: 40.314, median values: 0.10922, and quantile values: 0.25 0.032210\n0.50 0.109220\n0.75 0.457895\nName: 10798, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5043593634591192, std values: 4.887124346240473, min values: 1.3068e-06, max values: 38.779, median values: 0.24236, and quantile values: 0.25 0.061409\n0.50 0.242360\n0.75 0.947275\nName: 10799, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6501758851867925, std values: 5.485100678912635, min values: 1.1123e-06, max values: 48.818, median values: 0.24135, and quantile values: 0.25 0.06587\n0.50 0.24135\n0.75 1.12020\nName: 10800, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3472546269650567, std values: 4.7623443151835865, min values: 1.2834e-08, max values: 38.655, median values: 0.1607, and quantile values: 0.25 0.040247\n0.50 0.160700\n0.75 0.673775\nName: 10801, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5049439426578615, std values: 4.9374086067991465, min values: 2.1256e-06, max values: 39.387, median values: 0.25771, and quantile values: 0.25 0.067759\n0.50 0.257710\n0.75 0.978640\nName: 10802, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4718332933498743, std values: 4.835390182445778, min values: 9.2243e-07, max values: 38.305, median values: 0.21742, and quantile values: 0.25 0.063125\n0.50 0.217420\n0.75 0.910650\nName: 10803, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4577690362105657, std values: 5.117329246400397, min values: 5.3068e-07, max values: 43.952, median values: 0.20892, and quantile values: 0.25 0.054646\n0.50 0.208920\n0.75 0.834335\nName: 10804, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2750867411459623, std values: 4.611429430724005, min values: 2.2308e-08, max values: 37.006, median values: 0.20027, and quantile values: 0.25 0.043793\n0.50 0.200270\n0.75 0.717515\nName: 10805, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3147373104251572, std values: 4.992512365754431, min values: 3.7642e-06, max values: 40.527, median values: 0.16534, and quantile values: 0.25 0.049926\n0.50 0.165340\n0.75 0.639985\nName: 10806, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3556035704295597, std values: 4.619429261324451, min values: 1.1528e-06, max values: 38.934, median values: 0.19418, and quantile values: 0.25 0.057559\n0.50 0.194180\n0.75 0.808140\nName: 10807, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.543876443527044, std values: 4.81512007895891, min values: 1.1632e-06, max values: 37.943, median values: 0.2585, and quantile values: 0.25 0.081522\n0.50 0.258500\n0.75 0.999280\nName: 10808, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3739614276788743, std values: 4.917106400122688, min values: 3.7131e-08, max values: 41.613, median values: 0.1687, and quantile values: 0.25 0.048631\n0.50 0.168700\n0.75 0.823495\nName: 10809, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4319400559295596, std values: 4.920823616832317, min values: 1.0561e-06, max values: 39.482, median values: 0.19871, and quantile values: 0.25 0.056031\n0.50 0.198710\n0.75 0.852670\nName: 10810, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.348598500036101, std values: 4.516768707771902, min values: 5.2064e-07, max values: 37.291, median values: 0.19024, and quantile values: 0.25 0.060218\n0.50 0.190240\n0.75 0.857835\nName: 10811, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2759450406591195, std values: 4.757975308979713, min values: 2.3275e-06, max values: 39.693, median values: 0.16606, and quantile values: 0.25 0.052212\n0.50 0.166060\n0.75 0.673765\nName: 10812, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5612520586635221, std values: 5.1133709511386405, min values: 6.259e-07, max values: 40.45, median values: 0.22662, and quantile values: 0.25 0.063647\n0.50 0.226620\n0.75 0.979430\nName: 10813, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7040122782515728, std values: 5.180477083975531, min values: 6.1638e-06, max values: 41.089, median values: 0.29897, and quantile values: 0.25 0.082486\n0.50 0.298970\n0.75 1.068850\nName: 10814, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4060229522289307, std values: 4.579126934242456, min values: 1.4537e-06, max values: 39.242, median values: 0.202, and quantile values: 0.25 0.063156\n0.50 0.202000\n0.75 0.860655\nName: 10815, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6050111144037735, std values: 4.986737612962783, min values: 6.6936e-06, max values: 40.97, median values: 0.27557, and quantile values: 0.25 0.077815\n0.50 0.275570\n0.75 0.958620\nName: 10816, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5600894094503146, std values: 5.16311767553073, min values: 5.0069e-06, max values: 41.602, median values: 0.26242, and quantile values: 0.25 0.067816\n0.50 0.262420\n0.75 0.915415\nName: 10817, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5101915810260378, std values: 5.0239436086615585, min values: 1.4264e-07, max values: 42.833, median values: 0.22299, and quantile values: 0.25 0.059577\n0.50 0.222990\n0.75 0.936915\nName: 10818, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.334301646345283, std values: 4.813565367639954, min values: 2.7657e-06, max values: 39.816, median values: 0.18106, and quantile values: 0.25 0.061781\n0.50 0.181060\n0.75 0.731595\nName: 10819, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5819143021124717, std values: 4.991964622101683, min values: 3.2583e-08, max values: 41.788, median values: 0.26217, and quantile values: 0.25 0.060639\n0.50 0.262170\n0.75 1.066600\nName: 10820, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5212640651396228, std values: 4.835972685245619, min values: 1.4764e-06, max values: 39.47, median values: 0.22836, and quantile values: 0.25 0.070282\n0.50 0.228360\n0.75 0.985540\nName: 10821, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3346019523893082, std values: 4.544104729483887, min values: 2.1274e-06, max values: 39.431, median values: 0.18477, and quantile values: 0.25 0.057244\n0.50 0.184770\n0.75 0.776750\nName: 10822, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6109088714849056, std values: 4.899931342537374, min values: 3.6345e-06, max values: 39.923, median values: 0.25577, and quantile values: 0.25 0.078825\n0.50 0.255770\n0.75 1.011810\nName: 10823, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2580479080098113, std values: 4.72063899804093, min values: 5.5396e-07, max values: 38.609, median values: 0.16741, and quantile values: 0.25 0.043556\n0.50 0.167410\n0.75 0.674065\nName: 10824, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4420014675584907, std values: 5.3199370191850885, min values: 1.9168e-06, max values: 47.304, median values: 0.21748, and quantile values: 0.25 0.061049\n0.50 0.217480\n0.75 0.823245\nName: 10825, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5817949521786163, std values: 5.194468591181293, min values: 2.1686e-06, max values: 43.306, median values: 0.23334, and quantile values: 0.25 0.065855\n0.50 0.233340\n0.75 0.964355\nName: 10826, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6520038149905663, std values: 5.146002532166886, min values: 2.8379e-06, max values: 41.168, median values: 0.30346, and quantile values: 0.25 0.081785\n0.50 0.303460\n0.75 1.100820\nName: 10827, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.424438707355346, std values: 4.93661692940167, min values: 1.0059e-06, max values: 40.206, median values: 0.19916, and quantile values: 0.25 0.060389\n0.50 0.199160\n0.75 0.815355\nName: 10828, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5193971918242137, std values: 4.776206528443489, min values: 9.1645e-07, max values: 37.569, median values: 0.23406, and quantile values: 0.25 0.060923\n0.50 0.234060\n0.75 1.027800\nName: 10829, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6033885685540883, std values: 5.300597621587916, min values: 6.0487e-06, max values: 41.896, median values: 0.25477, and quantile values: 0.25 0.067993\n0.50 0.254770\n0.75 0.802180\nName: 10830, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.671576765290566, std values: 5.288491854157308, min values: 6.2962e-06, max values: 41.988, median values: 0.25215, and quantile values: 0.25 0.07369\n0.50 0.25215\n0.75 0.99200\nName: 10831, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6104564210748429, std values: 4.774756381507454, min values: 1.2286e-06, max values: 38.13, median values: 0.26836, and quantile values: 0.25 0.077714\n0.50 0.268360\n0.75 1.119600\nName: 10832, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6073872306213839, std values: 5.131597732027649, min values: 2.3863e-06, max values: 41.957, median values: 0.27143, and quantile values: 0.25 0.076759\n0.50 0.271430\n0.75 1.024110\nName: 10833, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.353175630318868, std values: 4.70588960267061, min values: 1.1744e-06, max values: 37.662, median values: 0.18999, and quantile values: 0.25 0.06402\n0.50 0.18999\n0.75 0.80754\nName: 10834, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7239434864867924, std values: 5.130697537380561, min values: 5.348e-07, max values: 41.884, median values: 0.3072, and quantile values: 0.25 0.076025\n0.50 0.307200\n0.75 1.247650\nName: 10835, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5286213775761004, std values: 4.84014949575397, min values: 1.0278e-06, max values: 38.628, median values: 0.23209, and quantile values: 0.25 0.066818\n0.50 0.232090\n0.75 0.993145\nName: 10836, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4282611772113207, std values: 4.791954444039637, min values: 2.2284e-06, max values: 39.21, median values: 0.23786, and quantile values: 0.25 0.064971\n0.50 0.237860\n0.75 0.827955\nName: 10837, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5584219994320754, std values: 5.0644180197453705, min values: 1.9303e-06, max values: 42.044, median values: 0.24711, and quantile values: 0.25 0.067150\n0.50 0.247110\n0.75 0.959885\nName: 10838, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.585506580628302, std values: 5.112863080842517, min values: 1.0476e-06, max values: 42.729, median values: 0.24993, and quantile values: 0.25 0.065825\n0.50 0.249930\n0.75 1.054400\nName: 10839, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5002910674913457, std values: 4.883444753367744, min values: 1.8914e-08, max values: 39.86, median values: 0.19924, and quantile values: 0.25 0.055324\n0.50 0.199240\n0.75 0.876740\nName: 10840, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4357919199220124, std values: 4.915835604135542, min values: 1.2288e-06, max values: 39.734, median values: 0.17475, and quantile values: 0.25 0.054025\n0.50 0.174750\n0.75 0.772385\nName: 10841, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.476512267871698, std values: 4.9287354617109225, min values: 1.8767e-06, max values: 39.367, median values: 0.21773, and quantile values: 0.25 0.055321\n0.50 0.217730\n0.75 0.885520\nName: 10842, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3085795472238995, std values: 4.906793480884587, min values: 1.9068e-06, max values: 40.232, median values: 0.17039, and quantile values: 0.25 0.053451\n0.50 0.170390\n0.75 0.680440\nName: 10843, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4009018713943397, std values: 4.893068023258764, min values: 2.5464e-06, max values: 40.316, median values: 0.21728, and quantile values: 0.25 0.057576\n0.50 0.217280\n0.75 0.793815\nName: 10844, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4550450406545912, std values: 4.8187015589713855, min values: 2.49e-08, max values: 39.222, median values: 0.20734, and quantile values: 0.25 0.044751\n0.50 0.207340\n0.75 0.892315\nName: 10845, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3812364215364779, std values: 4.892803912348694, min values: 2.1032e-06, max values: 40.583, median values: 0.20373, and quantile values: 0.25 0.055507\n0.50 0.203730\n0.75 0.748690\nName: 10846, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5606998481125787, std values: 4.898263580098056, min values: 1.736e-06, max values: 38.441, median values: 0.24641, and quantile values: 0.25 0.072464\n0.50 0.246410\n0.75 0.941485\nName: 10847, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4685282344431447, std values: 5.037668983068002, min values: 9.7246e-07, max values: 42.392, median values: 0.21035, and quantile values: 0.25 0.060168\n0.50 0.210350\n0.75 0.793530\nName: 10848, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5644416573056605, std values: 5.062167226705905, min values: 2.504e-06, max values: 40.836, median values: 0.23906, and quantile values: 0.25 0.067748\n0.50 0.239060\n0.75 0.924240\nName: 10849, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.498438783643, std values: 4.835766720119085, min values: 1.8837e-08, max values: 39.909, median values: 0.20376, and quantile values: 0.25 0.04851\n0.50 0.20376\n0.75 0.84476\nName: 10850, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.587239071227044, std values: 5.074816926796043, min values: 6.1051e-06, max values: 41.197, median values: 0.23819, and quantile values: 0.25 0.070837\n0.50 0.238190\n0.75 0.965710\nName: 10851, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3447016373729561, std values: 4.758369494089991, min values: 2.3739e-06, max values: 39.096, median values: 0.19284, and quantile values: 0.25 0.053177\n0.50 0.192840\n0.75 0.782010\nName: 10852, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4395865899918239, std values: 4.809026512826356, min values: 1.8419e-06, max values: 38.477, median values: 0.24182, and quantile values: 0.25 0.067890\n0.50 0.241820\n0.75 0.827855\nName: 10853, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4732859011295598, std values: 4.723463461776647, min values: 1.5609e-06, max values: 37.393, median values: 0.24747, and quantile values: 0.25 0.069732\n0.50 0.247470\n0.75 0.940285\nName: 10854, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3925288386792452, std values: 4.675607048560718, min values: 5.565e-07, max values: 37.59, median values: 0.20376, and quantile values: 0.25 0.054295\n0.50 0.203760\n0.75 0.851660\nName: 10855, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.820257919899371, std values: 6.020617900227141, min values: 2.9031e-06, max values: 56.313, median values: 0.27218, and quantile values: 0.25 0.078885\n0.50 0.272180\n0.75 1.192350\nName: 10856, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4935119338559748, std values: 4.887875614493412, min values: 2.586e-06, max values: 38.826, median values: 0.25553, and quantile values: 0.25 0.070379\n0.50 0.255530\n0.75 0.943390\nName: 10857, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6719699647654087, std values: 5.083733637615709, min values: 2.1506e-06, max values: 39.984, median values: 0.26894, and quantile values: 0.25 0.070012\n0.50 0.268940\n0.75 1.140700\nName: 10858, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.45744480751761, std values: 4.725712700027822, min values: 1.5448e-06, max values: 38.588, median values: 0.21312, and quantile values: 0.25 0.066249\n0.50 0.213120\n0.75 0.950800\nName: 10859, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4479947890176101, std values: 5.164826499797171, min values: 2.8977e-06, max values: 42.882, median values: 0.20009, and quantile values: 0.25 0.063628\n0.50 0.200090\n0.75 0.773920\nName: 10860, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.348226970606289, std values: 4.800034251400766, min values: 1.0064e-06, max values: 38.31, median values: 0.16647, and quantile values: 0.25 0.055811\n0.50 0.166470\n0.75 0.737510\nName: 10861, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3444287090174907, std values: 4.601564579113294, min values: 1.5905e-08, max values: 36.794, median values: 0.16685, and quantile values: 0.25 0.030859\n0.50 0.166850\n0.75 0.731965\nName: 10862, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3213537203893708, std values: 4.717341697941323, min values: 3.3851e-07, max values: 37.829, median values: 0.16035, and quantile values: 0.25 0.045408\n0.50 0.160350\n0.75 0.738245\nName: 10863, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7390229131025157, std values: 5.084523975141404, min values: 2.2494e-06, max values: 39.967, median values: 0.28568, and quantile values: 0.25 0.086744\n0.50 0.285680\n0.75 1.165900\nName: 10864, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3094282172555975, std values: 4.518339137000178, min values: 2.9131e-07, max values: 35.994, median values: 0.17038, and quantile values: 0.25 0.045076\n0.50 0.170380\n0.75 0.674345\nName: 10865, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6937145480338363, std values: 5.1708856715076825, min values: 3.3828e-07, max values: 43.376, median values: 0.26627, and quantile values: 0.25 0.063234\n0.50 0.266270\n0.75 1.138250\nName: 10866, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6506369873044027, std values: 5.055915726661026, min values: 3.8644e-06, max values: 39.899, median values: 0.25779, and quantile values: 0.25 0.080847\n0.50 0.257790\n0.75 1.049850\nName: 10867, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5548243926666667, std values: 4.937452330037667, min values: 4.2994e-06, max values: 40.336, median values: 0.24845, and quantile values: 0.25 0.070730\n0.50 0.248450\n0.75 0.921895\nName: 10868, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5402383656566039, std values: 5.006203702835531, min values: 2.843e-06, max values: 39.904, median values: 0.23563, and quantile values: 0.25 0.077515\n0.50 0.235630\n0.75 0.893925\nName: 10869, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2339587736536541, std values: 4.628121575933402, min values: 1.9311e-08, max values: 37.744, median values: 0.15304, and quantile values: 0.25 0.035737\n0.50 0.153040\n0.75 0.576495\nName: 10870, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6761476758132077, std values: 5.054749307326663, min values: 1.791e-06, max values: 40.523, median values: 0.29381, and quantile values: 0.25 0.079418\n0.50 0.293810\n0.75 1.111900\nName: 10871, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4930420021887425, std values: 4.954943286768608, min values: 1.4471e-07, max values: 40.927, median values: 0.23742, and quantile values: 0.25 0.061149\n0.50 0.237420\n0.75 0.905505\nName: 10872, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3689889657987422, std values: 4.7350044065577075, min values: 1.9983e-06, max values: 39.23, median values: 0.21734, and quantile values: 0.25 0.065029\n0.50 0.217340\n0.75 0.779080\nName: 10873, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3515675423285536, std values: 4.622804689800821, min values: 9.7594e-07, max values: 37.822, median values: 0.19185, and quantile values: 0.25 0.060682\n0.50 0.191850\n0.75 0.816740\nName: 10874, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6950369938544025, std values: 5.108537302864954, min values: 3.6105e-07, max values: 42.23, median values: 0.28793, and quantile values: 0.25 0.066123\n0.50 0.287930\n0.75 1.161200\nName: 10875, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7206390777050313, std values: 4.87490796655701, min values: 3.3262e-06, max values: 39.38, median values: 0.31429, and quantile values: 0.25 0.08185\n0.50 0.31429\n0.75 1.24030\nName: 10876, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2317971418201321, std values: 4.839944369017044, min values: 7.5401e-08, max values: 39.818, median values: 0.14789, and quantile values: 0.25 0.041947\n0.50 0.147890\n0.75 0.578065\nName: 10877, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4395805780933333, std values: 4.780815630700265, min values: 1.3964e-07, max values: 37.762, median values: 0.20276, and quantile values: 0.25 0.055126\n0.50 0.202760\n0.75 0.887115\nName: 10878, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6645488440119496, std values: 5.162310922792688, min values: 1.9501e-06, max values: 42.201, median values: 0.26805, and quantile values: 0.25 0.070241\n0.50 0.268050\n0.75 1.103050\nName: 10879, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3222195709937734, std values: 4.808044689868851, min values: 7.5171e-07, max values: 38.964, median values: 0.17199, and quantile values: 0.25 0.045802\n0.50 0.171990\n0.75 0.723130\nName: 10880, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.497138870845283, std values: 5.00244166025684, min values: 1.0318e-06, max values: 41.159, median values: 0.23773, and quantile values: 0.25 0.067428\n0.50 0.237730\n0.75 0.953010\nName: 10881, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4563495716893082, std values: 4.806329643988069, min values: 1.5942e-06, max values: 38.583, median values: 0.24176, and quantile values: 0.25 0.066775\n0.50 0.241760\n0.75 0.896845\nName: 10882, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3706179179698301, std values: 4.587734055296589, min values: 1.7527e-08, max values: 35.874, median values: 0.18528, and quantile values: 0.25 0.039833\n0.50 0.185280\n0.75 0.754105\nName: 10883, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6110535049928933, std values: 4.889284733430918, min values: 9.1947e-07, max values: 38.304, median values: 0.25946, and quantile values: 0.25 0.075424\n0.50 0.259460\n0.75 1.145850\nName: 10884, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.382902040218931, std values: 5.0474684884504555, min values: 9.5571e-07, max values: 42.075, median values: 0.16909, and quantile values: 0.25 0.047496\n0.50 0.169090\n0.75 0.813325\nName: 10885, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6164797640811321, std values: 5.310248664573172, min values: 1.0059e-06, max values: 46.495, median values: 0.25038, and quantile values: 0.25 0.063675\n0.50 0.250380\n0.75 0.952000\nName: 10886, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.214940415339937, std values: 4.747631389028182, min values: 5.9955e-07, max values: 39.359, median values: 0.14635, and quantile values: 0.25 0.049264\n0.50 0.146350\n0.75 0.574300\nName: 10887, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5249003107842765, std values: 4.969008478218804, min values: 1.8869e-06, max values: 39.96, median values: 0.23629, and quantile values: 0.25 0.064409\n0.50 0.236290\n0.75 0.983520\nName: 10888, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5169307315433962, std values: 4.879079024029437, min values: 2.3605e-06, max values: 39.346, median values: 0.24128, and quantile values: 0.25 0.071884\n0.50 0.241280\n0.75 0.959410\nName: 10889, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5446324091301888, std values: 4.907443841286269, min values: 3.0176e-06, max values: 39.981, median values: 0.23452, and quantile values: 0.25 0.067404\n0.50 0.234520\n0.75 0.962555\nName: 10890, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5555796394820753, std values: 4.892785116189389, min values: 3.855e-08, max values: 39.961, median values: 0.23286, and quantile values: 0.25 0.047413\n0.50 0.232860\n0.75 1.084500\nName: 10891, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4958760929805661, std values: 5.082241656800132, min values: 9.3561e-07, max values: 42.599, median values: 0.17598, and quantile values: 0.25 0.054385\n0.50 0.175980\n0.75 0.870315\nName: 10892, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.310337095887044, std values: 4.614664227798545, min values: 1.8594e-07, max values: 37.059, median values: 0.18666, and quantile values: 0.25 0.040953\n0.50 0.186660\n0.75 0.748195\nName: 10893, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.48710625063283, std values: 4.8660686637462485, min values: 4.9822e-07, max values: 40.159, median values: 0.21781, and quantile values: 0.25 0.061302\n0.50 0.217810\n0.75 0.906440\nName: 10894, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.601253768580503, std values: 4.837968950486118, min values: 2.7964e-06, max values: 39.16, median values: 0.2579, and quantile values: 0.25 0.069899\n0.50 0.257900\n0.75 1.063300\nName: 10895, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3085325122128804, std values: 4.63924379053686, min values: 7.6148e-08, max values: 36.982, median values: 0.15415, and quantile values: 0.25 0.042755\n0.50 0.154150\n0.75 0.697875\nName: 10896, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5237367608823897, std values: 4.846784442887158, min values: 1.2134e-06, max values: 39.168, median values: 0.24731, and quantile values: 0.25 0.066945\n0.50 0.247310\n0.75 0.964230\nName: 10897, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3772515961855976, std values: 4.870714647711862, min values: 4.4361e-07, max values: 39.866, median values: 0.17588, and quantile values: 0.25 0.051601\n0.50 0.175880\n0.75 0.718900\nName: 10898, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4520249309484274, std values: 5.007374898132515, min values: 3.5113e-06, max values: 40.063, median values: 0.21791, and quantile values: 0.25 0.065694\n0.50 0.217910\n0.75 0.820400\nName: 10899, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5076670772955976, std values: 5.054058429063546, min values: 1.1264e-06, max values: 42.433, median values: 0.20381, and quantile values: 0.25 0.057484\n0.50 0.203810\n0.75 0.907675\nName: 10900, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4093680967244655, std values: 4.730722702647467, min values: 2.555e-08, max values: 37.887, median values: 0.18379, and quantile values: 0.25 0.048310\n0.50 0.183790\n0.75 0.802855\nName: 10901, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.659901893992453, std values: 4.985874200166652, min values: 7.89e-07, max values: 38.924, median values: 0.27173, and quantile values: 0.25 0.072379\n0.50 0.271730\n0.75 1.187100\nName: 10902, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1877077005779875, std values: 4.483039024919776, min values: 5.853e-07, max values: 37.786, median values: 0.14278, and quantile values: 0.25 0.041851\n0.50 0.142780\n0.75 0.601180\nName: 10903, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6342879313586791, std values: 4.981035783961848, min values: 1.8133e-07, max values: 40.443, median values: 0.2772, and quantile values: 0.25 0.072559\n0.50 0.277200\n0.75 1.064945\nName: 10904, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3843520324339622, std values: 4.921268536878048, min values: 1.2442e-06, max values: 39.838, median values: 0.20687, and quantile values: 0.25 0.055321\n0.50 0.206870\n0.75 0.815415\nName: 10905, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5007792644069182, std values: 4.981939423027214, min values: 2.3321e-06, max values: 39.933, median values: 0.22476, and quantile values: 0.25 0.064509\n0.50 0.224760\n0.75 0.963130\nName: 10906, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.670951270735849, std values: 5.134341452029617, min values: 2.7488e-06, max values: 41.717, median values: 0.28356, and quantile values: 0.25 0.081606\n0.50 0.283560\n0.75 1.145550\nName: 10907, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5468028037303145, std values: 5.055930137463457, min values: 1.3702e-07, max values: 42.38, median values: 0.22993, and quantile values: 0.25 0.060035\n0.50 0.229930\n0.75 0.999920\nName: 10908, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4702111591125786, std values: 5.254977060233636, min values: 7.1072e-06, max values: 42.266, median values: 0.17308, and quantile values: 0.25 0.068462\n0.50 0.173080\n0.75 0.631400\nName: 10909, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.326742682725975, std values: 4.579860633451395, min values: 2.6283e-07, max values: 37.444, median values: 0.1589, and quantile values: 0.25 0.046739\n0.50 0.158900\n0.75 0.793660\nName: 10910, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.406277184351887, std values: 4.751019582836742, min values: 8.2215e-07, max values: 38.526, median values: 0.23708, and quantile values: 0.25 0.062525\n0.50 0.237080\n0.75 0.834860\nName: 10911, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6004634006088052, std values: 4.9400416488075765, min values: 1.563e-06, max values: 39.306, median values: 0.24281, and quantile values: 0.25 0.077441\n0.50 0.242810\n0.75 1.078150\nName: 10912, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4164570770290188, std values: 4.794918099052381, min values: 1.8904e-08, max values: 38.664, median values: 0.17681, and quantile values: 0.25 0.046400\n0.50 0.176810\n0.75 0.842955\nName: 10913, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7429548245672957, std values: 5.329412143976725, min values: 3.6578e-06, max values: 43.32, median values: 0.28823, and quantile values: 0.25 0.081849\n0.50 0.288230\n0.75 1.141250\nName: 10914, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2132008988446539, std values: 4.7014416094459435, min values: 2.4759e-06, max values: 39.401, median values: 0.1583, and quantile values: 0.25 0.055218\n0.50 0.158300\n0.75 0.563410\nName: 10915, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4737087664822013, std values: 4.799180510605675, min values: 9.5477e-07, max values: 38.674, median values: 0.21326, and quantile values: 0.25 0.062599\n0.50 0.213260\n0.75 0.876170\nName: 10916, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7491505740012578, std values: 5.332581151789992, min values: 4.365e-06, max values: 42.88, median values: 0.29478, and quantile values: 0.25 0.08231\n0.50 0.29478\n0.75 1.06715\nName: 10917, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7886270186557864, std values: 5.067926031225528, min values: 8.5147e-07, max values: 39.99, median values: 0.32398, and quantile values: 0.25 0.081933\n0.50 0.323980\n0.75 1.212700\nName: 10918, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.582987117666038, std values: 4.938993696240701, min values: 2.5702e-06, max values: 39.21, median values: 0.27044, and quantile values: 0.25 0.072788\n0.50 0.270440\n0.75 1.032385\nName: 10919, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.1593493513050315, std values: 5.7312405211435165, min values: 1.9655e-06, max values: 47.93, median values: 0.39392, and quantile values: 0.25 0.11291\n0.50 0.39392\n0.75 1.51475\nName: 10920, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.353699437519308, std values: 4.598009016185121, min values: 3.5707e-07, max values: 37.064, median values: 0.20716, and quantile values: 0.25 0.055348\n0.50 0.207160\n0.75 0.804895\nName: 10921, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5956727594232707, std values: 4.749689034711632, min values: 3.9763e-06, max values: 40.132, median values: 0.2518, and quantile values: 0.25 0.07687\n0.50 0.25180\n0.75 1.03245\nName: 10922, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.484643682169371, std values: 4.824599184937072, min values: 3.7663e-07, max values: 38.228, median values: 0.19936, and quantile values: 0.25 0.053002\n0.50 0.199360\n0.75 0.890635\nName: 10923, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5857630212767295, std values: 4.976852016026381, min values: 2.1605e-06, max values: 39.261, median values: 0.27695, and quantile values: 0.25 0.067411\n0.50 0.276950\n0.75 1.041800\nName: 10924, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4119491777295599, std values: 4.698991469022961, min values: 1.0383e-06, max values: 38.356, median values: 0.22037, and quantile values: 0.25 0.065376\n0.50 0.220370\n0.75 0.867510\nName: 10925, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3023883870503146, std values: 4.975731433212266, min values: 1.866e-06, max values: 40.899, median values: 0.17889, and quantile values: 0.25 0.058260\n0.50 0.178890\n0.75 0.643665\nName: 10926, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5539830404716979, std values: 5.115190646588739, min values: 3.856e-06, max values: 41.667, median values: 0.24368, and quantile values: 0.25 0.075713\n0.50 0.243680\n0.75 0.926135\nName: 10927, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6433211857403143, std values: 5.076358769000002, min values: 4.8041e-07, max values: 41.459, median values: 0.27092, and quantile values: 0.25 0.074164\n0.50 0.270920\n0.75 1.081850\nName: 10928, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2985940903006918, std values: 4.606758480976436, min values: 4.0021e-07, max values: 37.146, median values: 0.20095, and quantile values: 0.25 0.057931\n0.50 0.200950\n0.75 0.730270\nName: 10929, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.496537450864151, std values: 5.001678851849077, min values: 2.3187e-06, max values: 40.078, median values: 0.2075, and quantile values: 0.25 0.060743\n0.50 0.207500\n0.75 0.874390\nName: 10930, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5570450114125787, std values: 5.099004766939262, min values: 3.306e-06, max values: 41.067, median values: 0.23806, and quantile values: 0.25 0.074602\n0.50 0.238060\n0.75 0.908310\nName: 10931, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.305501722146541, std values: 4.694746877525766, min values: 1.1787e-06, max values: 38.839, median values: 0.19293, and quantile values: 0.25 0.053705\n0.50 0.192930\n0.75 0.725135\nName: 10932, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3246271995308176, std values: 4.677438008459702, min values: 3.1941e-06, max values: 40.638, median values: 0.17701, and quantile values: 0.25 0.056571\n0.50 0.177010\n0.75 0.720330\nName: 10933, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.462840898715723, std values: 4.897855758130018, min values: 3.1798e-06, max values: 40.254, median values: 0.23603, and quantile values: 0.25 0.063726\n0.50 0.236030\n0.75 0.876695\nName: 10934, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4525863038245281, std values: 4.883597048592541, min values: 3.1153e-06, max values: 40.276, median values: 0.25882, and quantile values: 0.25 0.074587\n0.50 0.258820\n0.75 0.851165\nName: 10935, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9631311734893084, std values: 5.375087987406899, min values: 2.6217e-06, max values: 42.774, median values: 0.33987, and quantile values: 0.25 0.094631\n0.50 0.339870\n0.75 1.406200\nName: 10936, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6716789610572327, std values: 5.168773807513232, min values: 4.3034e-06, max values: 40.936, median values: 0.25998, and quantile values: 0.25 0.079179\n0.50 0.259980\n0.75 1.018900\nName: 10937, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5679531040257861, std values: 5.131686874846155, min values: 3.0305e-06, max values: 42.483, median values: 0.26412, and quantile values: 0.25 0.074686\n0.50 0.264120\n0.75 0.954725\nName: 10938, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4795068276564778, std values: 4.923155788632297, min values: 4.5298e-07, max values: 41.054, median values: 0.20771, and quantile values: 0.25 0.058471\n0.50 0.207710\n0.75 0.881615\nName: 10939, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.329299751512893, std values: 4.529952143880083, min values: 2.2174e-07, max values: 36.712, median values: 0.17801, and quantile values: 0.25 0.045488\n0.50 0.178010\n0.75 0.734070\nName: 10940, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5868479112402516, std values: 4.84794817109295, min values: 2.1346e-06, max values: 38.626, median values: 0.26634, and quantile values: 0.25 0.091061\n0.50 0.266340\n0.75 1.112850\nName: 10941, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6147971303893083, std values: 5.177344986373497, min values: 8.0019e-06, max values: 42.932, median values: 0.20978, and quantile values: 0.25 0.066903\n0.50 0.209780\n0.75 0.892440\nName: 10942, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5272648779201259, std values: 4.715801472550417, min values: 3.1501e-06, max values: 39.632, median values: 0.2428, and quantile values: 0.25 0.074888\n0.50 0.242800\n0.75 0.975095\nName: 10943, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4558792741144024, std values: 4.923994926270458, min values: 3.4899e-07, max values: 41.206, median values: 0.23636, and quantile values: 0.25 0.060372\n0.50 0.236360\n0.75 0.858935\nName: 10944, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.484902249145912, std values: 4.958360206481587, min values: 1.9451e-06, max values: 39.625, median values: 0.22761, and quantile values: 0.25 0.065970\n0.50 0.227610\n0.75 0.885905\nName: 10945, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.403825605270566, std values: 4.874187192176857, min values: 8.9632e-07, max values: 39.348, median values: 0.19707, and quantile values: 0.25 0.054691\n0.50 0.197070\n0.75 0.801955\nName: 10946, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4299798990266668, std values: 4.713292122141127, min values: 2.3034e-07, max values: 37.099, median values: 0.20712, and quantile values: 0.25 0.058886\n0.50 0.207120\n0.75 0.834150\nName: 10947, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.352268173324654, std values: 4.650762009876228, min values: 1.2846e-07, max values: 37.072, median values: 0.17687, and quantile values: 0.25 0.044527\n0.50 0.176870\n0.75 0.683505\nName: 10948, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5580056306402519, std values: 4.940663642650699, min values: 3.0363e-06, max values: 39.412, median values: 0.24736, and quantile values: 0.25 0.071522\n0.50 0.247360\n0.75 0.989955\nName: 10949, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5975873602471575, std values: 5.041034808539137, min values: 8.2698e-08, max values: 42.357, median values: 0.27715, and quantile values: 0.25 0.060234\n0.50 0.277150\n0.75 1.085850\nName: 10950, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.340783505524528, std values: 5.016543439252571, min values: 1.5926e-06, max values: 41.676, median values: 0.17111, and quantile values: 0.25 0.055017\n0.50 0.171110\n0.75 0.659575\nName: 10951, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.288957233188931, std values: 4.654140916924034, min values: 6.1854e-07, max values: 37.441, median values: 0.17697, and quantile values: 0.25 0.055422\n0.50 0.176970\n0.75 0.676065\nName: 10952, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.339981195061006, std values: 4.748570620681794, min values: 2.4835e-06, max values: 38.968, median values: 0.19772, and quantile values: 0.25 0.057768\n0.50 0.197720\n0.75 0.716510\nName: 10953, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4987139621, std values: 5.022405244705511, min values: 1.4348e-06, max values: 41.351, median values: 0.20636, and quantile values: 0.25 0.056420\n0.50 0.206360\n0.75 0.911615\nName: 10954, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2683554633258807, std values: 4.80260105265404, min values: 1.4415e-08, max values: 41.003, median values: 0.15123, and quantile values: 0.25 0.034862\n0.50 0.151230\n0.75 0.643160\nName: 10955, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3798178538144656, std values: 4.904012473668139, min values: 2.2932e-06, max values: 39.795, median values: 0.20385, and quantile values: 0.25 0.05837\n0.50 0.20385\n0.75 0.77803\nName: 10956, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9038467948193707, std values: 5.8196001944102855, min values: 9.6138e-07, max values: 53.761, median values: 0.32069, and quantile values: 0.25 0.081381\n0.50 0.320690\n0.75 1.338350\nName: 10957, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3684348294433961, std values: 4.688385681870919, min values: 1.0163e-06, max values: 38.434, median values: 0.21352, and quantile values: 0.25 0.054023\n0.50 0.213520\n0.75 0.802870\nName: 10958, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4223160520777358, std values: 4.619120288137158, min values: 2.4046e-07, max values: 37.52, median values: 0.19034, and quantile values: 0.25 0.053939\n0.50 0.190340\n0.75 0.837355\nName: 10959, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4488655863404403, std values: 5.0086937839434835, min values: 3.0853e-07, max values: 42.087, median values: 0.20232, and quantile values: 0.25 0.053899\n0.50 0.202320\n0.75 0.889820\nName: 10960, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5071310806732074, std values: 4.9568347015539524, min values: 9.9504e-07, max values: 40.745, median values: 0.20248, and quantile values: 0.25 0.063051\n0.50 0.202480\n0.75 0.912575\nName: 10961, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.548499604156981, std values: 5.16911696451459, min values: 3.8656e-07, max values: 45.486, median values: 0.26632, and quantile values: 0.25 0.064692\n0.50 0.266320\n0.75 0.958970\nName: 10962, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.454947920602258, std values: 4.563739769885266, min values: 6.1299e-08, max values: 36.857, median values: 0.22287, and quantile values: 0.25 0.051588\n0.50 0.222870\n0.75 1.027300\nName: 10963, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4724645604482578, std values: 4.850695705677029, min values: 2.1773e-08, max values: 38.998, median values: 0.22389, and quantile values: 0.25 0.054738\n0.50 0.223890\n0.75 0.868060\nName: 10964, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2473419863570443, std values: 4.569060196444246, min values: 3.8077e-07, max values: 38.2, median values: 0.1605, and quantile values: 0.25 0.046207\n0.50 0.160500\n0.75 0.706935\nName: 10965, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5982871091992452, std values: 5.027450319129154, min values: 2.5118e-07, max values: 41.229, median values: 0.24469, and quantile values: 0.25 0.06306\n0.50 0.24469\n0.75 1.01018\nName: 10966, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7254507548886795, std values: 5.393223603635299, min values: 6.3771e-06, max values: 43.536, median values: 0.30145, and quantile values: 0.25 0.083003\n0.50 0.301450\n0.75 1.017700\nName: 10967, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3665300284949684, std values: 4.6839690688786995, min values: 3.1419e-06, max values: 39.11, median values: 0.17509, and quantile values: 0.25 0.058458\n0.50 0.175090\n0.75 0.687920\nName: 10968, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2564483644671698, std values: 4.578944526012432, min values: 1.0118e-07, max values: 38.14, median values: 0.17248, and quantile values: 0.25 0.055323\n0.50 0.172480\n0.75 0.734200\nName: 10969, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4612146958503145, std values: 4.719926987820039, min values: 1.4379e-06, max values: 38.109, median values: 0.24083, and quantile values: 0.25 0.066059\n0.50 0.240830\n0.75 0.938440\nName: 10970, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6737228688691823, std values: 5.066172289358135, min values: 1.2601e-06, max values: 41.134, median values: 0.26969, and quantile values: 0.25 0.072512\n0.50 0.269690\n0.75 1.141650\nName: 10971, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4238209744086796, std values: 4.77923243470806, min values: 3.8358e-07, max values: 38.59, median values: 0.22392, and quantile values: 0.25 0.056081\n0.50 0.223920\n0.75 0.817650\nName: 10972, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3362590902597484, std values: 4.839031643124083, min values: 2.227e-06, max values: 39.399, median values: 0.17897, and quantile values: 0.25 0.056569\n0.50 0.178970\n0.75 0.743465\nName: 10973, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3271908031014024, std values: 4.820891206170718, min values: 1.6623e-08, max values: 39.717, median values: 0.15045, and quantile values: 0.25 0.04466\n0.50 0.15045\n0.75 0.70475\nName: 10974, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4897275815685533, std values: 5.118957408182715, min values: 3.7011e-06, max values: 42.138, median values: 0.22741, and quantile values: 0.25 0.069772\n0.50 0.227410\n0.75 0.852835\nName: 10975, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3248272188106918, std values: 4.687996352447648, min values: 1.0672e-06, max values: 38.2, median values: 0.22199, and quantile values: 0.25 0.068265\n0.50 0.221990\n0.75 0.741620\nName: 10976, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3350070084164527, std values: 4.690324538420995, min values: 9.3416e-08, max values: 37.477, median values: 0.18552, and quantile values: 0.25 0.051552\n0.50 0.185520\n0.75 0.749835\nName: 10977, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5430845790798742, std values: 5.02237832675471, min values: 2.347e-06, max values: 40.501, median values: 0.27664, and quantile values: 0.25 0.071266\n0.50 0.276640\n0.75 0.954380\nName: 10978, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6875914723846541, std values: 5.228365721132419, min values: 8.3746e-07, max values: 43.747, median values: 0.2752, and quantile values: 0.25 0.068102\n0.50 0.275200\n0.75 1.139400\nName: 10979, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4080527405967924, std values: 4.67384532705521, min values: 4.4116e-07, max values: 36.686, median values: 0.20139, and quantile values: 0.25 0.05394\n0.50 0.20139\n0.75 0.79867\nName: 10980, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4968627978419498, std values: 4.871498484755709, min values: 9.9867e-07, max values: 38.495, median values: 0.25647, and quantile values: 0.25 0.06915\n0.50 0.25647\n0.75 0.86434\nName: 10981, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2504515705767296, std values: 4.784995288825488, min values: 1.5197e-06, max values: 39.33, median values: 0.16744, and quantile values: 0.25 0.055239\n0.50 0.167440\n0.75 0.628580\nName: 10982, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3561680383461634, std values: 4.668250324045968, min values: 4.9354e-07, max values: 37.539, median values: 0.18754, and quantile values: 0.25 0.052645\n0.50 0.187540\n0.75 0.773565\nName: 10983, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5639572245903333, std values: 4.926327826331996, min values: 5.9663e-08, max values: 40.399, median values: 0.22899, and quantile values: 0.25 0.054636\n0.50 0.228990\n0.75 0.976050\nName: 10984, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5348458797759243, std values: 4.8982930858349505, min values: 8.9752e-08, max values: 40.48, median values: 0.24793, and quantile values: 0.25 0.052108\n0.50 0.247930\n0.75 0.944225\nName: 10985, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2989163898301888, std values: 4.7663598876520625, min values: 1.5901e-06, max values: 39.712, median values: 0.18477, and quantile values: 0.25 0.045584\n0.50 0.184770\n0.75 0.652125\nName: 10986, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7911353497201261, std values: 4.973275717423617, min values: 1.3839e-06, max values: 39.002, median values: 0.31496, and quantile values: 0.25 0.087948\n0.50 0.314960\n0.75 1.329700\nName: 10987, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4846378718660378, std values: 4.9648566847344116, min values: 2.631e-06, max values: 40.523, median values: 0.22787, and quantile values: 0.25 0.073570\n0.50 0.227870\n0.75 0.864255\nName: 10988, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6638219799220755, std values: 4.811051748962671, min values: 9.7461e-07, max values: 37.67, median values: 0.25773, and quantile values: 0.25 0.076627\n0.50 0.257730\n0.75 1.156050\nName: 10989, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6995448933943396, std values: 5.3230484877109365, min values: 3.9986e-06, max values: 43.425, median values: 0.29443, and quantile values: 0.25 0.073837\n0.50 0.294430\n0.75 1.048500\nName: 10990, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8036493831163523, std values: 5.4245580903752915, min values: 5.6998e-06, max values: 43.267, median values: 0.3071, and quantile values: 0.25 0.08843\n0.50 0.30710\n0.75 1.14140\nName: 10991, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3443905320106917, std values: 4.67778298980791, min values: 1.2953e-06, max values: 39.249, median values: 0.18575, and quantile values: 0.25 0.053949\n0.50 0.185750\n0.75 0.736435\nName: 10992, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2780501559845283, std values: 4.757533765882129, min values: 5.5454e-07, max values: 38.256, median values: 0.16942, and quantile values: 0.25 0.045472\n0.50 0.169420\n0.75 0.631405\nName: 10993, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5028303775945913, std values: 4.852903118297368, min values: 1.7124e-07, max values: 39.485, median values: 0.22944, and quantile values: 0.25 0.059738\n0.50 0.229440\n0.75 0.978210\nName: 10994, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.506427233691824, std values: 4.984655888794595, min values: 2.971e-06, max values: 40.093, median values: 0.25633, and quantile values: 0.25 0.067249\n0.50 0.256330\n0.75 0.901710\nName: 10995, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6208901992169813, std values: 5.2242257447689555, min values: 4.6656e-06, max values: 41.986, median values: 0.27279, and quantile values: 0.25 0.074879\n0.50 0.272790\n0.75 0.933300\nName: 10996, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.611120607145346, std values: 5.130909190002484, min values: 6.9101e-07, max values: 42.813, median values: 0.24937, and quantile values: 0.25 0.061637\n0.50 0.249370\n0.75 1.084200\nName: 10997, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2774797553477988, std values: 4.836433032549909, min values: 1.0064e-06, max values: 39.952, median values: 0.16122, and quantile values: 0.25 0.046447\n0.50 0.161220\n0.75 0.665870\nName: 10998, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4649122703054591, std values: 4.587676666750879, min values: 1.7136e-08, max values: 36.104, median values: 0.19397, and quantile values: 0.25 0.042759\n0.50 0.193970\n0.75 0.858935\nName: 10999, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3481856879154084, std values: 4.761368126790508, min values: 6.0955e-07, max values: 38.26, median values: 0.1876, and quantile values: 0.25 0.052323\n0.50 0.187600\n0.75 0.781365\nName: 11000, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.376955057014654, std values: 4.7483127615630405, min values: 6.6173e-07, max values: 38.074, median values: 0.20087, and quantile values: 0.25 0.054358\n0.50 0.200870\n0.75 0.799265\nName: 11001, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4420341280067923, std values: 4.7770009812966805, min values: 2.7948e-07, max values: 37.616, median values: 0.21649, and quantile values: 0.25 0.056096\n0.50 0.216490\n0.75 0.873845\nName: 11002, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3631518753679246, std values: 4.767823995478163, min values: 1.9586e-06, max values: 39.885, median values: 0.20068, and quantile values: 0.25 0.054448\n0.50 0.200680\n0.75 0.856805\nName: 11003, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.482990332527044, std values: 4.888246654452673, min values: 1.7723e-06, max values: 39.49, median values: 0.21966, and quantile values: 0.25 0.06563\n0.50 0.21966\n0.75 0.91017\nName: 11004, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6045629977081761, std values: 5.059964808470736, min values: 2.2698e-06, max values: 40.619, median values: 0.28607, and quantile values: 0.25 0.074529\n0.50 0.286070\n0.75 0.990660\nName: 11005, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1145602174737734, std values: 4.3560021337424235, min values: 2.1397e-07, max values: 36.914, median values: 0.13549, and quantile values: 0.25 0.041204\n0.50 0.135490\n0.75 0.519060\nName: 11006, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4174139887779873, std values: 4.757653803142144, min values: 1.3129e-06, max values: 38.504, median values: 0.20277, and quantile values: 0.25 0.064267\n0.50 0.202770\n0.75 0.821360\nName: 11007, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7347199744579245, std values: 5.162421325175902, min values: 4.1531e-07, max values: 43.09, median values: 0.2652, and quantile values: 0.25 0.073576\n0.50 0.265200\n0.75 1.183100\nName: 11008, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4290637619784277, std values: 4.874973820577957, min values: 6.3017e-07, max values: 39.979, median values: 0.20249, and quantile values: 0.25 0.054821\n0.50 0.202490\n0.75 0.908705\nName: 11009, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4128390816119494, std values: 4.803049950521183, min values: 1.4033e-06, max values: 38.83, median values: 0.19756, and quantile values: 0.25 0.055878\n0.50 0.197560\n0.75 0.809035\nName: 11010, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3816974112884277, std values: 4.693886676322927, min values: 1.7807e-07, max values: 37.08, median values: 0.18393, and quantile values: 0.25 0.045361\n0.50 0.183930\n0.75 0.751500\nName: 11011, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4188175998220125, std values: 4.809701752363832, min values: 2.0388e-06, max values: 39.387, median values: 0.23429, and quantile values: 0.25 0.063626\n0.50 0.234290\n0.75 0.811685\nName: 11012, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.514974937663522, std values: 5.081796708014235, min values: 2.123e-06, max values: 42.419, median values: 0.22973, and quantile values: 0.25 0.062907\n0.50 0.229730\n0.75 0.913815\nName: 11013, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4310660304044027, std values: 4.772481361686696, min values: 3.6205e-06, max values: 39.771, median values: 0.22018, and quantile values: 0.25 0.068353\n0.50 0.220180\n0.75 0.854780\nName: 11014, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3976221616025155, std values: 4.971126144600531, min values: 2.2675e-06, max values: 39.365, median values: 0.19128, and quantile values: 0.25 0.062045\n0.50 0.191280\n0.75 0.707290\nName: 11015, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4523042211361636, std values: 5.028931886465913, min values: 2.3625e-07, max values: 42.902, median values: 0.20498, and quantile values: 0.25 0.049894\n0.50 0.204980\n0.75 0.817250\nName: 11016, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2131597746259122, std values: 4.633642013750683, min values: 5.2342e-07, max values: 37.161, median values: 0.13746, and quantile values: 0.25 0.045380\n0.50 0.137460\n0.75 0.587695\nName: 11017, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6066074547287421, std values: 5.064463943980642, min values: 3.2937e-07, max values: 42.344, median values: 0.2403, and quantile values: 0.25 0.068666\n0.50 0.240300\n0.75 1.091850\nName: 11018, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2165029576633208, std values: 4.54314409940102, min values: 1.6258e-08, max values: 36.31, median values: 0.15664, and quantile values: 0.25 0.041044\n0.50 0.156640\n0.75 0.557765\nName: 11019, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.448400771910692, std values: 5.3065045758381775, min values: 2.0066e-06, max values: 45.725, median values: 0.19095, and quantile values: 0.25 0.056427\n0.50 0.190950\n0.75 0.772515\nName: 11020, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4237475483347295, std values: 4.780923815431439, min values: 3.0272e-08, max values: 39.638, median values: 0.23084, and quantile values: 0.25 0.050224\n0.50 0.230840\n0.75 0.796825\nName: 11021, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6714994872, std values: 4.994651620173809, min values: 3.0958e-06, max values: 39.436, median values: 0.26887, and quantile values: 0.25 0.072905\n0.50 0.268870\n0.75 1.123150\nName: 11022, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4958660739522012, std values: 4.991643341043516, min values: 3.9712e-06, max values: 40.408, median values: 0.2343, and quantile values: 0.25 0.058484\n0.50 0.234300\n0.75 0.875340\nName: 11023, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5291893612817609, std values: 4.925057735296874, min values: 2.335e-07, max values: 40.167, median values: 0.23766, and quantile values: 0.25 0.063189\n0.50 0.237660\n0.75 0.923215\nName: 11024, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5162115527339624, std values: 4.931268385692973, min values: 2.8472e-06, max values: 39.843, median values: 0.23102, and quantile values: 0.25 0.066578\n0.50 0.231020\n0.75 0.885030\nName: 11025, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3490174572275468, std values: 4.605179779069583, min values: 6.6458e-07, max values: 37.916, median values: 0.16373, and quantile values: 0.25 0.055523\n0.50 0.163730\n0.75 0.759480\nName: 11026, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3640105286201258, std values: 4.970463401096732, min values: 1.245e-06, max values: 40.787, median values: 0.1807, and quantile values: 0.25 0.055029\n0.50 0.180700\n0.75 0.800625\nName: 11027, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3967318060213207, std values: 4.770901204006882, min values: 9.9409e-07, max values: 38.333, median values: 0.20693, and quantile values: 0.25 0.058703\n0.50 0.206930\n0.75 0.817435\nName: 11028, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3040713409229558, std values: 4.655049162640499, min values: 2.8885e-07, max values: 37.906, median values: 0.18846, and quantile values: 0.25 0.051751\n0.50 0.188460\n0.75 0.750360\nName: 11029, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6936104265823901, std values: 5.350190063078094, min values: 1.6558e-06, max values: 45.689, median values: 0.25418, and quantile values: 0.25 0.075356\n0.50 0.254180\n0.75 1.098150\nName: 11030, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.366273337473366, std values: 4.82664744448022, min values: 9.9152e-09, max values: 40.453, median values: 0.14941, and quantile values: 0.25 0.035439\n0.50 0.149410\n0.75 0.687845\nName: 11031, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2852756603226416, std values: 4.804337711297747, min values: 1.0686e-06, max values: 39.042, median values: 0.15519, and quantile values: 0.25 0.050556\n0.50 0.155190\n0.75 0.739365\nName: 11032, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2439311072226416, std values: 4.857570030003824, min values: 1.9602e-06, max values: 39.501, median values: 0.16757, and quantile values: 0.25 0.046155\n0.50 0.167570\n0.75 0.660750\nName: 11033, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7418681557383646, std values: 5.298198796468466, min values: 6.3707e-06, max values: 41.952, median values: 0.31612, and quantile values: 0.25 0.090741\n0.50 0.316120\n0.75 1.070100\nName: 11034, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4668276455094342, std values: 4.679615966375943, min values: 1.8226e-06, max values: 38.907, median values: 0.23034, and quantile values: 0.25 0.067668\n0.50 0.230340\n0.75 0.908085\nName: 11035, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5963387676767296, std values: 4.953240909852503, min values: 1.7421e-06, max values: 38.782, median values: 0.23525, and quantile values: 0.25 0.072623\n0.50 0.235250\n0.75 1.054050\nName: 11036, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7280028699025158, std values: 5.186889550104687, min values: 4.5174e-06, max values: 40.687, median values: 0.30976, and quantile values: 0.25 0.093122\n0.50 0.309760\n0.75 1.093900\nName: 11037, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3806683856118869, std values: 4.781511175902547, min values: 5.9929e-07, max values: 38.645, median values: 0.17104, and quantile values: 0.25 0.054085\n0.50 0.171040\n0.75 0.778925\nName: 11038, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5470395577630187, std values: 5.187575135647241, min values: 4.6812e-07, max values: 45.278, median values: 0.20759, and quantile values: 0.25 0.058342\n0.50 0.207590\n0.75 0.917145\nName: 11039, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7037793780748427, std values: 5.243908856399711, min values: 1.2367e-06, max values: 43.935, median values: 0.2644, and quantile values: 0.25 0.078061\n0.50 0.264400\n0.75 1.112400\nName: 11040, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4642700603201257, std values: 4.881307364406203, min values: 1.7104e-06, max values: 39.539, median values: 0.21551, and quantile values: 0.25 0.064908\n0.50 0.215510\n0.75 0.877050\nName: 11041, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.258926236026415, std values: 4.707852979225252, min values: 1.4286e-06, max values: 39.369, median values: 0.16302, and quantile values: 0.25 0.039366\n0.50 0.163020\n0.75 0.673550\nName: 11042, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3765455433742138, std values: 4.809057949834326, min values: 2.8459e-06, max values: 39.76, median values: 0.21225, and quantile values: 0.25 0.056760\n0.50 0.212250\n0.75 0.768545\nName: 11043, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5700361014439623, std values: 4.775058094116051, min values: 1.9659e-07, max values: 37.81, median values: 0.26833, and quantile values: 0.25 0.064055\n0.50 0.268330\n0.75 1.008070\nName: 11044, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4167468374796666, std values: 5.036214337268186, min values: 2.1467e-08, max values: 43.669, median values: 0.19794, and quantile values: 0.25 0.057361\n0.50 0.197940\n0.75 0.850905\nName: 11045, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.417903440339019, std values: 4.953945993618848, min values: 4.0604e-08, max values: 42.541, median values: 0.22466, and quantile values: 0.25 0.054998\n0.50 0.224660\n0.75 0.827315\nName: 11046, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2857584611451571, std values: 4.734851103229584, min values: 1.3991e-07, max values: 38.621, median values: 0.14091, and quantile values: 0.25 0.045788\n0.50 0.140910\n0.75 0.629045\nName: 11047, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.834154376171698, std values: 5.219365278001651, min values: 2.6002e-06, max values: 40.211, median values: 0.3206, and quantile values: 0.25 0.077905\n0.50 0.320600\n0.75 1.280600\nName: 11048, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5289752280298743, std values: 4.907213766457483, min values: 5.7895e-07, max values: 39.209, median values: 0.22016, and quantile values: 0.25 0.062017\n0.50 0.220160\n0.75 1.003695\nName: 11049, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.416410111416352, std values: 4.845599271468623, min values: 1.1045e-06, max values: 38.82, median values: 0.20108, and quantile values: 0.25 0.062742\n0.50 0.201080\n0.75 0.839415\nName: 11050, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.349327681985849, std values: 4.747350279127404, min values: 3.9905e-07, max values: 38.014, median values: 0.17153, and quantile values: 0.25 0.055445\n0.50 0.171530\n0.75 0.796710\nName: 11051, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.290831656534214, std values: 4.586868332738639, min values: 5.4224e-07, max values: 37.029, median values: 0.17691, and quantile values: 0.25 0.052875\n0.50 0.176910\n0.75 0.734720\nName: 11052, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.508071336045975, std values: 4.800232501845068, min values: 6.7981e-07, max values: 38.341, median values: 0.22758, and quantile values: 0.25 0.057932\n0.50 0.227580\n0.75 0.928535\nName: 11053, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4684043764282393, std values: 5.0364442432330385, min values: 9.1969e-07, max values: 42.413, median values: 0.23067, and quantile values: 0.25 0.064780\n0.50 0.230670\n0.75 0.856965\nName: 11054, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.453885962235849, std values: 5.018638835914571, min values: 1.7412e-06, max values: 40.863, median values: 0.22567, and quantile values: 0.25 0.058317\n0.50 0.225670\n0.75 0.918965\nName: 11055, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4522009509099374, std values: 4.898718551917921, min values: 8.6378e-07, max values: 40.203, median values: 0.21851, and quantile values: 0.25 0.060636\n0.50 0.218510\n0.75 0.881340\nName: 11056, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5312904159314467, std values: 4.94021566423558, min values: 1.4589e-06, max values: 39.325, median values: 0.22792, and quantile values: 0.25 0.06639\n0.50 0.22792\n0.75 0.97396\nName: 11057, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5542287262381762, std values: 5.150508070772487, min values: 2.0697e-07, max values: 44.837, median values: 0.20876, and quantile values: 0.25 0.053297\n0.50 0.208760\n0.75 0.957270\nName: 11058, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.319005692709434, std values: 4.822030456529438, min values: 1.9461e-06, max values: 39.557, median values: 0.18454, and quantile values: 0.25 0.056188\n0.50 0.184540\n0.75 0.661975\nName: 11059, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7445648962490568, std values: 5.571076504134257, min values: 9.7166e-06, max values: 44.312, median values: 0.25979, and quantile values: 0.25 0.082398\n0.50 0.259790\n0.75 0.942355\nName: 11060, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4817394391926413, std values: 4.805236279408193, min values: 5.2353e-07, max values: 37.846, median values: 0.21639, and quantile values: 0.25 0.059917\n0.50 0.216390\n0.75 0.912750\nName: 11061, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4962562454886792, std values: 4.706872585481345, min values: 1.5774e-06, max values: 38.188, median values: 0.262, and quantile values: 0.25 0.071066\n0.50 0.262000\n0.75 0.957490\nName: 11062, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5097662780515724, std values: 4.779655237821292, min values: 2.888e-06, max values: 39.563, median values: 0.25359, and quantile values: 0.25 0.070493\n0.50 0.253590\n0.75 0.967495\nName: 11063, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.279915416588679, std values: 4.828275436611918, min values: 2.2947e-06, max values: 39.881, median values: 0.16628, and quantile values: 0.25 0.054577\n0.50 0.166280\n0.75 0.663115\nName: 11064, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4681572043679247, std values: 4.767750226379157, min values: 1.4657e-06, max values: 38.651, median values: 0.21221, and quantile values: 0.25 0.064603\n0.50 0.212210\n0.75 0.878925\nName: 11065, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.289174840779459, std values: 4.655365269472898, min values: 2.9514e-08, max values: 37.33, median values: 0.17943, and quantile values: 0.25 0.044084\n0.50 0.179430\n0.75 0.703775\nName: 11066, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6560711958415095, std values: 5.0987322065251295, min values: 2.3043e-06, max values: 40.685, median values: 0.26378, and quantile values: 0.25 0.074246\n0.50 0.263780\n0.75 1.141700\nName: 11067, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5831235762037736, std values: 5.085403591665276, min values: 1.7915e-06, max values: 42.235, median values: 0.24845, and quantile values: 0.25 0.070423\n0.50 0.248450\n0.75 1.026100\nName: 11068, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3368542092591196, std values: 4.829423342220691, min values: 2.2661e-06, max values: 39.394, median values: 0.19376, and quantile values: 0.25 0.049141\n0.50 0.193760\n0.75 0.738075\nName: 11069, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3373153067691823, std values: 4.885457778490192, min values: 2.3585e-06, max values: 39.786, median values: 0.17189, and quantile values: 0.25 0.058995\n0.50 0.171890\n0.75 0.709095\nName: 11070, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5568266135867923, std values: 5.091458496673473, min values: 3.3325e-06, max values: 40.886, median values: 0.25315, and quantile values: 0.25 0.073164\n0.50 0.253150\n0.75 0.911005\nName: 11071, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6360320886955977, std values: 4.880582136177797, min values: 2.8492e-06, max values: 38.956, median values: 0.26699, and quantile values: 0.25 0.08421\n0.50 0.26699\n0.75 1.13785\nName: 11072, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6808043804911947, std values: 5.263540407961891, min values: 1.233e-07, max values: 45.525, median values: 0.25618, and quantile values: 0.25 0.065098\n0.50 0.256180\n0.75 1.164100\nName: 11073, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8732351560408176, std values: 5.1754018608580745, min values: 9.5209e-07, max values: 41.065, median values: 0.36686, and quantile values: 0.25 0.095446\n0.50 0.366860\n0.75 1.402050\nName: 11074, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.655583232641195, std values: 5.230032209157857, min values: 8.6545e-07, max values: 44.943, median values: 0.26175, and quantile values: 0.25 0.072695\n0.50 0.261750\n0.75 1.103200\nName: 11075, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.50192729553522, std values: 5.017799415033277, min values: 4.3386e-06, max values: 40.117, median values: 0.26194, and quantile values: 0.25 0.072466\n0.50 0.261940\n0.75 0.817860\nName: 11076, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3897862028459123, std values: 4.9244786638472755, min values: 2.0616e-06, max values: 39.606, median values: 0.18799, and quantile values: 0.25 0.057351\n0.50 0.187990\n0.75 0.803705\nName: 11077, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3912687879509436, std values: 4.740559093776428, min values: 1.063e-06, max values: 37.748, median values: 0.20012, and quantile values: 0.25 0.056813\n0.50 0.200120\n0.75 0.867970\nName: 11078, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5277926329515095, std values: 4.796376701780872, min values: 2.9139e-07, max values: 37.585, median values: 0.21697, and quantile values: 0.25 0.056795\n0.50 0.216970\n0.75 0.969220\nName: 11079, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.600732993589937, std values: 4.974816416452944, min values: 3.2778e-06, max values: 40.295, median values: 0.24897, and quantile values: 0.25 0.071872\n0.50 0.248970\n0.75 1.029850\nName: 11080, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.68143340505283, std values: 4.962188940990498, min values: 4.471e-06, max values: 39.858, median values: 0.28498, and quantile values: 0.25 0.083976\n0.50 0.284980\n0.75 1.157250\nName: 11081, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4749640639771695, std values: 5.2910931126703575, min values: 2.2502e-07, max values: 48.081, median values: 0.18262, and quantile values: 0.25 0.044332\n0.50 0.182620\n0.75 0.769820\nName: 11082, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.633249181399566, std values: 4.9861405562628445, min values: 2.2431e-08, max values: 40.538, median values: 0.25066, and quantile values: 0.25 0.075409\n0.50 0.250660\n0.75 1.135450\nName: 11083, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.463037776636478, std values: 4.6791182406404905, min values: 6.259e-07, max values: 38.84, median values: 0.24414, and quantile values: 0.25 0.059596\n0.50 0.244140\n0.75 0.946200\nName: 11084, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2886086650884907, std values: 4.70561221760645, min values: 1.9197e-07, max values: 37.699, median values: 0.15785, and quantile values: 0.25 0.045921\n0.50 0.157850\n0.75 0.678290\nName: 11085, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4861562685699998, std values: 4.835962275871775, min values: 3.4363e-07, max values: 38.525, median values: 0.21872, and quantile values: 0.25 0.060626\n0.50 0.218720\n0.75 0.966605\nName: 11086, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4506203548530816, std values: 4.752236862458685, min values: 1.4994e-07, max values: 37.604, median values: 0.2014, and quantile values: 0.25 0.057702\n0.50 0.201400\n0.75 0.902440\nName: 11087, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.283425922573736, std values: 4.858337541689651, min values: 1.8224e-08, max values: 41.077, median values: 0.14259, and quantile values: 0.25 0.045691\n0.50 0.142590\n0.75 0.643700\nName: 11088, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3912968365327045, std values: 4.828104545064498, min values: 1.1038e-06, max values: 38.776, median values: 0.21401, and quantile values: 0.25 0.05712\n0.50 0.21401\n0.75 0.78450\nName: 11089, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3705970819669813, std values: 4.603886241270955, min values: 7.6875e-07, max values: 38.178, median values: 0.20175, and quantile values: 0.25 0.053498\n0.50 0.201750\n0.75 0.785280\nName: 11090, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4118133099049683, std values: 4.630794750101246, min values: 3.4889e-07, max values: 36.897, median values: 0.20298, and quantile values: 0.25 0.060288\n0.50 0.202980\n0.75 0.901120\nName: 11091, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.444642284264717, std values: 4.772279076252135, min values: 6.4189e-07, max values: 38.097, median values: 0.19496, and quantile values: 0.25 0.058236\n0.50 0.194960\n0.75 0.852895\nName: 11092, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2351473117790568, std values: 4.377746871459342, min values: 2.799e-08, max values: 36.02, median values: 0.16229, and quantile values: 0.25 0.040115\n0.50 0.162290\n0.75 0.715610\nName: 11093, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.461673340502516, std values: 4.763692693546726, min values: 1.4487e-06, max values: 38.087, median values: 0.23346, and quantile values: 0.25 0.069592\n0.50 0.233460\n0.75 0.923355\nName: 11094, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4744161766188242, std values: 4.946433688095724, min values: 1.2183e-08, max values: 41.853, median values: 0.20274, and quantile values: 0.25 0.046679\n0.50 0.202740\n0.75 0.964985\nName: 11095, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4059704567920126, std values: 4.608490624725922, min values: 7.5643e-07, max values: 37.489, median values: 0.22747, and quantile values: 0.25 0.059330\n0.50 0.227470\n0.75 0.917725\nName: 11096, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5805776188333334, std values: 5.223205111990121, min values: 7.0605e-06, max values: 41.671, median values: 0.27168, and quantile values: 0.25 0.074367\n0.50 0.271680\n0.75 0.878370\nName: 11097, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3324650691305346, std values: 4.81479963224286, min values: 2.3425e-08, max values: 40.716, median values: 0.1676, and quantile values: 0.25 0.040497\n0.50 0.167600\n0.75 0.711200\nName: 11098, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3217569020150945, std values: 4.940048703012191, min values: 2.6564e-06, max values: 39.791, median values: 0.17074, and quantile values: 0.25 0.05139\n0.50 0.17074\n0.75 0.68976\nName: 11099, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5480430746271006, std values: 5.017939992275056, min values: 3.0809e-08, max values: 42.5, median values: 0.23294, and quantile values: 0.25 0.053597\n0.50 0.232940\n0.75 0.890480\nName: 11100, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.234440761257415, std values: 4.9960156187649005, min values: 9.3829e-08, max values: 41.205, median values: 0.14343, and quantile values: 0.25 0.040421\n0.50 0.143430\n0.75 0.577525\nName: 11101, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4994062632106917, std values: 5.2113683183906225, min values: 1.4048e-06, max values: 45.126, median values: 0.20726, and quantile values: 0.25 0.054307\n0.50 0.207260\n0.75 0.835630\nName: 11102, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4567661884232705, std values: 4.8827218323674195, min values: 1.2972e-06, max values: 38.921, median values: 0.22355, and quantile values: 0.25 0.056423\n0.50 0.223550\n0.75 0.878005\nName: 11103, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.559516838073566, std values: 4.890809998586138, min values: 1.8697e-08, max values: 39.665, median values: 0.25224, and quantile values: 0.25 0.061299\n0.50 0.252240\n0.75 1.050350\nName: 11104, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4627710759484278, std values: 5.140355110802797, min values: 2.1943e-06, max values: 43.691, median values: 0.21484, and quantile values: 0.25 0.057444\n0.50 0.214840\n0.75 0.896020\nName: 11105, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4714280398163522, std values: 4.944115193307218, min values: 2.4489e-06, max values: 40.136, median values: 0.20415, and quantile values: 0.25 0.065785\n0.50 0.204150\n0.75 0.832365\nName: 11106, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.542937797766038, std values: 5.2888075521407325, min values: 2.7208e-06, max values: 45.405, median values: 0.22818, and quantile values: 0.25 0.060891\n0.50 0.228180\n0.75 0.913220\nName: 11107, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4339010940685533, std values: 4.693565394018274, min values: 1.6282e-06, max values: 39.021, median values: 0.20744, and quantile values: 0.25 0.059747\n0.50 0.207440\n0.75 0.890415\nName: 11108, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3713781769591196, std values: 4.99968991657428, min values: 1.9853e-06, max values: 41.71, median values: 0.18098, and quantile values: 0.25 0.053371\n0.50 0.180980\n0.75 0.838745\nName: 11109, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.321982268798742, std values: 4.866812190584068, min values: 1.643e-07, max values: 40.62, median values: 0.16264, and quantile values: 0.25 0.046488\n0.50 0.162640\n0.75 0.675260\nName: 11110, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7288343653037108, std values: 5.120896285744916, min values: 8.3199e-07, max values: 41.341, median values: 0.27739, and quantile values: 0.25 0.069531\n0.50 0.277390\n0.75 1.256900\nName: 11111, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.463952661904717, std values: 4.9039461877118145, min values: 6.0695e-07, max values: 40.122, median values: 0.23478, and quantile values: 0.25 0.059493\n0.50 0.234780\n0.75 0.944305\nName: 11112, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4093317531886793, std values: 5.150386793596469, min values: 2.4423e-06, max values: 43.067, median values: 0.19705, and quantile values: 0.25 0.052743\n0.50 0.197050\n0.75 0.798745\nName: 11113, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4286267985483647, std values: 4.895705209456017, min values: 7.8959e-07, max values: 39.43, median values: 0.2129, and quantile values: 0.25 0.056782\n0.50 0.212900\n0.75 0.787675\nName: 11114, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.556020923888679, std values: 4.926009511557943, min values: 3.5377e-06, max values: 39.578, median values: 0.24887, and quantile values: 0.25 0.082423\n0.50 0.248870\n0.75 0.929310\nName: 11115, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4348856395610063, std values: 5.009584518193179, min values: 3.9892e-06, max values: 41.058, median values: 0.20881, and quantile values: 0.25 0.058706\n0.50 0.208810\n0.75 0.737450\nName: 11116, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3770379240761006, std values: 4.796144140287367, min values: 2.9823e-06, max values: 40.492, median values: 0.19231, and quantile values: 0.25 0.066227\n0.50 0.192310\n0.75 0.724740\nName: 11117, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4419353078020123, std values: 5.018290746726992, min values: 7.0332e-07, max values: 42.163, median values: 0.19665, and quantile values: 0.25 0.055043\n0.50 0.196650\n0.75 0.808405\nName: 11118, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2355436906406603, std values: 4.454023288411411, min values: 1.5401e-08, max values: 35.066, median values: 0.14011, and quantile values: 0.25 0.030237\n0.50 0.140110\n0.75 0.604130\nName: 11119, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3706967452264152, std values: 4.7441418333115895, min values: 2.4861e-06, max values: 39.852, median values: 0.18658, and quantile values: 0.25 0.058623\n0.50 0.186580\n0.75 0.767950\nName: 11120, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4495429374861637, std values: 4.917564786136596, min values: 2.1785e-06, max values: 39.316, median values: 0.21901, and quantile values: 0.25 0.063822\n0.50 0.219010\n0.75 0.864880\nName: 11121, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7717145371333332, std values: 5.048710892967516, min values: 2.7581e-06, max values: 38.741, median values: 0.31591, and quantile values: 0.25 0.085052\n0.50 0.315910\n0.75 1.253600\nName: 11122, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3277335280020754, std values: 4.647394052486965, min values: 2.1693e-07, max values: 37.81, median values: 0.15262, and quantile values: 0.25 0.039408\n0.50 0.152620\n0.75 0.728800\nName: 11123, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4536794059106917, std values: 4.974403909513447, min values: 2.376e-06, max values: 40.266, median values: 0.22479, and quantile values: 0.25 0.064180\n0.50 0.224790\n0.75 0.849575\nName: 11124, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5330706257220126, std values: 4.893250443262525, min values: 1.6337e-06, max values: 38.749, median values: 0.23198, and quantile values: 0.25 0.066576\n0.50 0.231980\n0.75 1.002125\nName: 11125, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3721904223657861, std values: 5.045686670655041, min values: 8.8496e-07, max values: 44.055, median values: 0.1703, and quantile values: 0.25 0.048037\n0.50 0.170300\n0.75 0.734290\nName: 11126, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4406700142830189, std values: 4.799926169513753, min values: 3.794e-06, max values: 39.914, median values: 0.19633, and quantile values: 0.25 0.062535\n0.50 0.196330\n0.75 0.807565\nName: 11127, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4810435101814465, std values: 4.879331026564777, min values: 8.2385e-07, max values: 38.941, median values: 0.2265, and quantile values: 0.25 0.068025\n0.50 0.226500\n0.75 0.819635\nName: 11128, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2989644362652453, std values: 4.7032163806047365, min values: 2.1224e-08, max values: 38.568, median values: 0.15608, and quantile values: 0.25 0.036223\n0.50 0.156080\n0.75 0.682055\nName: 11129, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6753879423062896, std values: 5.123981382442612, min values: 6.1705e-06, max values: 40.84, median values: 0.28887, and quantile values: 0.25 0.080922\n0.50 0.288870\n0.75 1.055100\nName: 11130, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5128498516710693, std values: 5.23597379762318, min values: 3.0156e-06, max values: 43.313, median values: 0.23218, and quantile values: 0.25 0.066624\n0.50 0.232180\n0.75 0.829420\nName: 11131, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6351875292798739, std values: 5.434589964079415, min values: 7.2834e-06, max values: 44.99, median values: 0.24099, and quantile values: 0.25 0.071732\n0.50 0.240990\n0.75 0.930840\nName: 11132, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.672049911949434, std values: 4.961246640260571, min values: 3.836e-08, max values: 39.568, median values: 0.23589, and quantile values: 0.25 0.061512\n0.50 0.235890\n0.75 1.222600\nName: 11133, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3652791369288615, std values: 4.984558592990799, min values: 2.4859e-08, max values: 44.024, median values: 0.17291, and quantile values: 0.25 0.038083\n0.50 0.172910\n0.75 0.666730\nName: 11134, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.443382216044654, std values: 4.84221435565219, min values: 2.1732e-06, max values: 39.731, median values: 0.24539, and quantile values: 0.25 0.067503\n0.50 0.245390\n0.75 0.838180\nName: 11135, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5315474074886792, std values: 4.947848630544378, min values: 4.1026e-06, max values: 40.251, median values: 0.2528, and quantile values: 0.25 0.067709\n0.50 0.252800\n0.75 0.851005\nName: 11136, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6628343401314467, std values: 5.245960435271657, min values: 5.104e-06, max values: 42.304, median values: 0.25576, and quantile values: 0.25 0.083915\n0.50 0.255760\n0.75 1.055400\nName: 11137, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3967628419544653, std values: 4.989081017735213, min values: 5.7195e-07, max values: 43.359, median values: 0.17449, and quantile values: 0.25 0.055039\n0.50 0.174490\n0.75 0.724245\nName: 11138, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.672308630784277, std values: 5.225460048394781, min values: 3.7122e-06, max values: 41.545, median values: 0.28455, and quantile values: 0.25 0.070422\n0.50 0.284550\n0.75 1.081850\nName: 11139, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3358160609842769, std values: 4.872118645679332, min values: 2.1987e-06, max values: 39.811, median values: 0.20156, and quantile values: 0.25 0.051597\n0.50 0.201560\n0.75 0.775335\nName: 11140, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4642900155704404, std values: 4.849886391075249, min values: 2.0287e-06, max values: 40.101, median values: 0.25666, and quantile values: 0.25 0.059435\n0.50 0.256660\n0.75 0.916950\nName: 11141, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3888847378940945, std values: 4.681259947288269, min values: 8.4601e-08, max values: 37.371, median values: 0.15943, and quantile values: 0.25 0.04506\n0.50 0.15943\n0.75 0.73465\nName: 11142, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.413206612591195, std values: 4.903219094465479, min values: 2.0393e-06, max values: 40.285, median values: 0.22433, and quantile values: 0.25 0.05358\n0.50 0.22433\n0.75 0.79167\nName: 11143, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.830649136248805, std values: 5.3605095488577, min values: 2.7336e-07, max values: 45.543, median values: 0.25111, and quantile values: 0.25 0.056989\n0.50 0.251110\n0.75 1.322700\nName: 11144, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.697050656805786, std values: 5.302101184749231, min values: 4.1782e-07, max values: 45.768, median values: 0.26007, and quantile values: 0.25 0.066922\n0.50 0.260070\n0.75 1.139900\nName: 11145, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5188631973562892, std values: 5.092743644477047, min values: 8.3105e-07, max values: 43.391, median values: 0.23305, and quantile values: 0.25 0.058651\n0.50 0.233050\n0.75 0.906910\nName: 11146, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.508085979707547, std values: 5.109391951322447, min values: 3.5583e-06, max values: 41.798, median values: 0.23933, and quantile values: 0.25 0.067201\n0.50 0.239330\n0.75 0.903960\nName: 11147, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6876928773828932, std values: 5.119405294031847, min values: 7.5508e-07, max values: 42.448, median values: 0.30757, and quantile values: 0.25 0.077236\n0.50 0.307570\n0.75 1.141250\nName: 11148, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3852729253757863, std values: 5.1030051498731455, min values: 5.0725e-07, max values: 44.706, median values: 0.2026, and quantile values: 0.25 0.054400\n0.50 0.202600\n0.75 0.717815\nName: 11149, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.487646966891195, std values: 4.856758975262166, min values: 1.89e-06, max values: 39.316, median values: 0.22212, and quantile values: 0.25 0.063318\n0.50 0.222120\n0.75 0.935300\nName: 11150, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.401528603383019, std values: 4.8783346839324935, min values: 4.1555e-06, max values: 40.523, median values: 0.20459, and quantile values: 0.25 0.061059\n0.50 0.204590\n0.75 0.749360\nName: 11151, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3592145732773586, std values: 4.885308721350959, min values: 7.659e-07, max values: 39.731, median values: 0.19259, and quantile values: 0.25 0.051336\n0.50 0.192590\n0.75 0.800695\nName: 11152, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2735662673720756, std values: 4.707971590966166, min values: 5.8706e-07, max values: 38.339, median values: 0.16804, and quantile values: 0.25 0.047188\n0.50 0.168040\n0.75 0.683420\nName: 11153, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.816524970106289, std values: 5.414052248773211, min values: 2.715e-06, max values: 45.469, median values: 0.29873, and quantile values: 0.25 0.093898\n0.50 0.298730\n0.75 1.221300\nName: 11154, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4442286834893086, std values: 4.959068934814066, min values: 1.7501e-06, max values: 40.413, median values: 0.21274, and quantile values: 0.25 0.064629\n0.50 0.212740\n0.75 0.853605\nName: 11155, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.265360994901264, std values: 4.4820595996069414, min values: 4.0669e-08, max values: 35.036, median values: 0.12739, and quantile values: 0.25 0.023936\n0.50 0.127390\n0.75 0.665680\nName: 11156, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8597627877949687, std values: 5.294969480850882, min values: 5.3074e-06, max values: 40.95, median values: 0.3214, and quantile values: 0.25 0.096446\n0.50 0.321400\n0.75 1.275100\nName: 11157, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8113242400232705, std values: 5.164236332659352, min values: 1.1616e-06, max values: 41.217, median values: 0.3469, and quantile values: 0.25 0.08643\n0.50 0.34690\n0.75 1.32440\nName: 11158, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3760517313950313, std values: 4.630841593138502, min values: 6.6101e-07, max values: 36.886, median values: 0.20036, and quantile values: 0.25 0.056720\n0.50 0.200360\n0.75 0.843365\nName: 11159, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4931770906790567, std values: 4.763682964080291, min values: 2.7617e-07, max values: 37.386, median values: 0.2224, and quantile values: 0.25 0.064995\n0.50 0.222400\n0.75 0.990005\nName: 11160, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.461369066662264, std values: 5.239800811563215, min values: 2.7189e-06, max values: 44.886, median values: 0.21375, and quantile values: 0.25 0.061081\n0.50 0.213750\n0.75 0.808375\nName: 11161, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.793941478693711, std values: 5.1951105874931445, min values: 3.1522e-06, max values: 40.972, median values: 0.32581, and quantile values: 0.25 0.09315\n0.50 0.32581\n0.75 1.26340\nName: 11162, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3970680665327042, std values: 4.87535755120759, min values: 1.0663e-06, max values: 39.537, median values: 0.21722, and quantile values: 0.25 0.058652\n0.50 0.217220\n0.75 0.790845\nName: 11163, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5932491418861006, std values: 4.924011892406844, min values: 6.7639e-07, max values: 38.93, median values: 0.26965, and quantile values: 0.25 0.073163\n0.50 0.269650\n0.75 1.121000\nName: 11164, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3886511198859623, std values: 5.015842018973668, min values: 2.8158e-08, max values: 44.201, median values: 0.19387, and quantile values: 0.25 0.038143\n0.50 0.193870\n0.75 0.756895\nName: 11165, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3437395366779874, std values: 4.59744837798442, min values: 1.0023e-06, max values: 38.925, median values: 0.19116, and quantile values: 0.25 0.054911\n0.50 0.191160\n0.75 0.815790\nName: 11166, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4086345048937106, std values: 4.978291646822871, min values: 1.4628e-06, max values: 41.048, median values: 0.19863, and quantile values: 0.25 0.053913\n0.50 0.198630\n0.75 0.861690\nName: 11167, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4909335778069182, std values: 4.971212282685569, min values: 2.2621e-06, max values: 39.986, median values: 0.23583, and quantile values: 0.25 0.070052\n0.50 0.235830\n0.75 0.882950\nName: 11168, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8167383424182388, std values: 5.257330259757632, min values: 3.7698e-06, max values: 41.263, median values: 0.33169, and quantile values: 0.25 0.089875\n0.50 0.331690\n0.75 1.301550\nName: 11169, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4445737171731448, std values: 4.962129673096532, min values: 6.259e-07, max values: 41.135, median values: 0.22509, and quantile values: 0.25 0.056968\n0.50 0.225090\n0.75 0.845545\nName: 11170, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5428861134880503, std values: 4.926860761984353, min values: 2.0243e-06, max values: 38.992, median values: 0.26963, and quantile values: 0.25 0.075439\n0.50 0.269630\n0.75 0.966700\nName: 11171, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3879425627765407, std values: 4.649184878253923, min values: 2.4287e-07, max values: 37.116, median values: 0.23071, and quantile values: 0.25 0.057628\n0.50 0.230710\n0.75 0.806350\nName: 11172, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4572404204591194, std values: 4.779705631683726, min values: 3.6538e-06, max values: 40.422, median values: 0.23364, and quantile values: 0.25 0.063121\n0.50 0.233640\n0.75 0.837950\nName: 11173, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6032926454836478, std values: 5.09315501316832, min values: 3.2109e-06, max values: 40.637, median values: 0.25393, and quantile values: 0.25 0.074367\n0.50 0.253930\n0.75 0.975045\nName: 11174, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3961704477461447, std values: 4.829716168877059, min values: 2.1484e-08, max values: 41.073, median values: 0.18421, and quantile values: 0.25 0.038999\n0.50 0.184210\n0.75 0.766000\nName: 11175, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5065223978987423, std values: 4.947650411321791, min values: 1.8785e-06, max values: 39.823, median values: 0.2522, and quantile values: 0.25 0.067569\n0.50 0.252200\n0.75 0.941745\nName: 11176, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.356127330072956, std values: 4.704555569969181, min values: 1.2408e-06, max values: 39.544, median values: 0.18552, and quantile values: 0.25 0.049836\n0.50 0.185520\n0.75 0.796100\nName: 11177, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.617205444739308, std values: 5.110404140596229, min values: 5.2355e-07, max values: 42.488, median values: 0.23034, and quantile values: 0.25 0.069931\n0.50 0.230340\n0.75 1.028450\nName: 11178, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.360502648389151, std values: 4.676693581715165, min values: 1.6375e-08, max values: 37.0, median values: 0.15336, and quantile values: 0.25 0.042528\n0.50 0.153360\n0.75 0.783495\nName: 11179, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7768043099289308, std values: 5.205717848238928, min values: 2.2329e-06, max values: 42.233, median values: 0.29727, and quantile values: 0.25 0.078668\n0.50 0.297270\n0.75 1.260000\nName: 11180, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.596516616395975, std values: 4.974474624426084, min values: 4.0146e-07, max values: 40.555, median values: 0.24269, and quantile values: 0.25 0.066799\n0.50 0.242690\n0.75 1.067100\nName: 11181, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.613547951428302, std values: 5.305501708990682, min values: 2.8866e-06, max values: 44.698, median values: 0.26366, and quantile values: 0.25 0.066382\n0.50 0.263660\n0.75 1.056250\nName: 11182, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.199059612138742, std values: 4.453242537667684, min values: 5.7556e-07, max values: 37.605, median values: 0.15556, and quantile values: 0.25 0.047791\n0.50 0.155560\n0.75 0.649210\nName: 11183, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5275716024543773, std values: 4.858992746118022, min values: 2.5326e-08, max values: 39.36, median values: 0.20717, and quantile values: 0.25 0.050401\n0.50 0.207170\n0.75 1.051950\nName: 11184, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.440266030088679, std values: 5.094381923727281, min values: 4.4084e-06, max values: 40.863, median values: 0.21239, and quantile values: 0.25 0.064976\n0.50 0.212390\n0.75 0.759310\nName: 11185, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6655343194446541, std values: 5.121317492884055, min values: 5.0483e-06, max values: 40.308, median values: 0.27212, and quantile values: 0.25 0.078729\n0.50 0.272120\n0.75 1.045000\nName: 11186, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3139319906378615, std values: 4.670309261049488, min values: 1.4827e-07, max values: 37.223, median values: 0.17122, and quantile values: 0.25 0.046857\n0.50 0.171220\n0.75 0.694115\nName: 11187, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.801566338475472, std values: 5.158870185565216, min values: 3.1529e-06, max values: 40.179, median values: 0.34585, and quantile values: 0.25 0.086538\n0.50 0.345850\n0.75 1.319500\nName: 11188, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.624530110416981, std values: 4.943379521188391, min values: 8.214e-07, max values: 38.525, median values: 0.25623, and quantile values: 0.25 0.068727\n0.50 0.256230\n0.75 1.086100\nName: 11189, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5241422832942766, std values: 4.839303389367992, min values: 2.4079e-07, max values: 38.844, median values: 0.22046, and quantile values: 0.25 0.064363\n0.50 0.220460\n0.75 0.945530\nName: 11190, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5830740325440253, std values: 4.837481471231229, min values: 1.9872e-06, max values: 39.218, median values: 0.25243, and quantile values: 0.25 0.075376\n0.50 0.252430\n0.75 1.004600\nName: 11191, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4997387525084278, std values: 4.843126835894808, min values: 9.0574e-07, max values: 38.549, median values: 0.24085, and quantile values: 0.25 0.064271\n0.50 0.240850\n0.75 0.946640\nName: 11192, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5284421532676102, std values: 4.937108049159866, min values: 1.8495e-07, max values: 41.012, median values: 0.21289, and quantile values: 0.25 0.055444\n0.50 0.212890\n0.75 0.915505\nName: 11193, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4039707803905659, std values: 4.778718381423436, min values: 1.315e-06, max values: 38.574, median values: 0.2183, and quantile values: 0.25 0.062789\n0.50 0.218300\n0.75 0.807690\nName: 11194, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4701165654880504, std values: 4.774731542775863, min values: 2.5236e-06, max values: 39.032, median values: 0.23171, and quantile values: 0.25 0.066102\n0.50 0.231710\n0.75 0.902185\nName: 11195, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.947358448391195, std values: 5.4633403758324235, min values: 1.183e-06, max values: 46.11, median values: 0.31058, and quantile values: 0.25 0.070795\n0.50 0.310580\n0.75 1.377800\nName: 11196, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3415466770842766, std values: 4.720659762501221, min values: 1.337e-06, max values: 37.835, median values: 0.19008, and quantile values: 0.25 0.051328\n0.50 0.190080\n0.75 0.739055\nName: 11197, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2904664135496855, std values: 4.723628359523669, min values: 2.8852e-06, max values: 39.776, median values: 0.18792, and quantile values: 0.25 0.062499\n0.50 0.187920\n0.75 0.631975\nName: 11198, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5960568664666666, std values: 5.076544624588381, min values: 1.6284e-06, max values: 41.588, median values: 0.26922, and quantile values: 0.25 0.079118\n0.50 0.269220\n0.75 1.083850\nName: 11199, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7240391491138365, std values: 5.099249452558086, min values: 1.917e-06, max values: 40.232, median values: 0.28168, and quantile values: 0.25 0.079813\n0.50 0.281680\n0.75 1.226650\nName: 11200, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6007889812704403, std values: 4.821687125317878, min values: 3.0321e-06, max values: 40.192, median values: 0.26952, and quantile values: 0.25 0.078897\n0.50 0.269520\n0.75 1.032700\nName: 11201, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5688369497949686, std values: 5.087387851222596, min values: 1.8876e-06, max values: 41.614, median values: 0.24001, and quantile values: 0.25 0.063859\n0.50 0.240010\n0.75 1.016150\nName: 11202, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.284304909489937, std values: 4.6938515509011625, min values: 1.4568e-06, max values: 38.3, median values: 0.17119, and quantile values: 0.25 0.051861\n0.50 0.171190\n0.75 0.680960\nName: 11203, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4598960809938741, std values: 4.83991516318901, min values: 2.8336e-08, max values: 40.097, median values: 0.19465, and quantile values: 0.25 0.043067\n0.50 0.194650\n0.75 0.949960\nName: 11204, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5250196726220124, std values: 5.1378841621316225, min values: 1.0265e-06, max values: 43.96, median values: 0.25876, and quantile values: 0.25 0.066689\n0.50 0.258760\n0.75 0.848975\nName: 11205, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2859667550289309, std values: 4.63894801056294, min values: 1.7658e-06, max values: 39.632, median values: 0.16372, and quantile values: 0.25 0.046670\n0.50 0.163720\n0.75 0.657465\nName: 11206, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5836091781682644, std values: 4.9860218591187335, min values: 2.7854e-08, max values: 41.06, median values: 0.23662, and quantile values: 0.25 0.064030\n0.50 0.236620\n0.75 1.050915\nName: 11207, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5544131371056602, std values: 4.658060311503109, min values: 2.4354e-06, max values: 38.99, median values: 0.29309, and quantile values: 0.25 0.076228\n0.50 0.293090\n0.75 1.035775\nName: 11208, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.709035129589371, std values: 5.7021342492652805, min values: 5.3231e-07, max values: 52.411, median values: 0.23669, and quantile values: 0.25 0.066993\n0.50 0.236690\n0.75 1.094550\nName: 11209, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6532473046685536, std values: 5.104585057084488, min values: 3.604e-06, max values: 40.241, median values: 0.27713, and quantile values: 0.25 0.079273\n0.50 0.277130\n0.75 1.040500\nName: 11210, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3690322678050315, std values: 4.907932324396337, min values: 1.9321e-06, max values: 39.498, median values: 0.22041, and quantile values: 0.25 0.060073\n0.50 0.220410\n0.75 0.777510\nName: 11211, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2871444316010692, std values: 5.068577252419883, min values: 2.5776e-07, max values: 45.72, median values: 0.14883, and quantile values: 0.25 0.036622\n0.50 0.148830\n0.75 0.638615\nName: 11212, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.497412678654088, std values: 4.863011368865261, min values: 1.2223e-06, max values: 39.614, median values: 0.24287, and quantile values: 0.25 0.064674\n0.50 0.242870\n0.75 0.919940\nName: 11213, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.521276304618805, std values: 5.021185775790885, min values: 4.9759e-07, max values: 42.584, median values: 0.22735, and quantile values: 0.25 0.063591\n0.50 0.227350\n0.75 0.933970\nName: 11214, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2880947623402517, std values: 4.644115284137895, min values: 1.4235e-06, max values: 38.493, median values: 0.17131, and quantile values: 0.25 0.060093\n0.50 0.171310\n0.75 0.702845\nName: 11215, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6087673902578614, std values: 5.175942481642337, min values: 5.2226e-06, max values: 41.838, median values: 0.26587, and quantile values: 0.25 0.077048\n0.50 0.265870\n0.75 0.901615\nName: 11216, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4354953899496854, std values: 4.802234838098062, min values: 4.1427e-06, max values: 40.437, median values: 0.22196, and quantile values: 0.25 0.069319\n0.50 0.221960\n0.75 0.850140\nName: 11217, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4347045348054088, std values: 4.7878250844697785, min values: 2.2215e-07, max values: 38.356, median values: 0.1742, and quantile values: 0.25 0.048989\n0.50 0.174200\n0.75 0.853975\nName: 11218, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6247571341490568, std values: 5.1809799993180965, min values: 1.6346e-06, max values: 42.437, median values: 0.23632, and quantile values: 0.25 0.064741\n0.50 0.236320\n0.75 1.021525\nName: 11219, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4306410355622643, std values: 4.752340141782139, min values: 2.253e-06, max values: 39.652, median values: 0.24809, and quantile values: 0.25 0.067538\n0.50 0.248090\n0.75 0.865250\nName: 11220, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7223789804, std values: 4.965418813871388, min values: 3.9194e-06, max values: 38.779, median values: 0.29276, and quantile values: 0.25 0.092001\n0.50 0.292760\n0.75 1.109800\nName: 11221, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5818708510298112, std values: 4.97289304613602, min values: 6.0024e-07, max values: 39.182, median values: 0.23048, and quantile values: 0.25 0.060855\n0.50 0.230480\n0.75 1.045850\nName: 11222, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.646316296083019, std values: 4.9962284755855215, min values: 3.3643e-06, max values: 39.457, median values: 0.2685, and quantile values: 0.25 0.079172\n0.50 0.268500\n0.75 1.066650\nName: 11223, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.505428906818868, std values: 5.084576458695774, min values: 3.1906e-06, max values: 41.075, median values: 0.23874, and quantile values: 0.25 0.070441\n0.50 0.238740\n0.75 0.862175\nName: 11224, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.387746327335849, std values: 4.7149785564374795, min values: 1.2248e-06, max values: 38.484, median values: 0.23852, and quantile values: 0.25 0.061955\n0.50 0.238520\n0.75 0.797100\nName: 11225, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4546098526374214, std values: 4.851038216641875, min values: 7.2075e-07, max values: 39.367, median values: 0.21112, and quantile values: 0.25 0.062556\n0.50 0.211120\n0.75 0.876550\nName: 11226, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.274727501172327, std values: 4.786696787295966, min values: 1.6155e-06, max values: 39.124, median values: 0.16517, and quantile values: 0.25 0.048663\n0.50 0.165170\n0.75 0.636805\nName: 11227, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5848253560226417, std values: 5.216511283689235, min values: 7.372e-07, max values: 44.63, median values: 0.24342, and quantile values: 0.25 0.059595\n0.50 0.243420\n0.75 0.998425\nName: 11228, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.493647298142088, std values: 4.82454469169901, min values: 8.2262e-08, max values: 39.048, median values: 0.25796, and quantile values: 0.25 0.055863\n0.50 0.257960\n0.75 0.926140\nName: 11229, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.688149374825157, std values: 5.022678050490565, min values: 3.7708e-06, max values: 40.255, median values: 0.29236, and quantile values: 0.25 0.078178\n0.50 0.292360\n0.75 1.088360\nName: 11230, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4424133467874842, std values: 4.826096270552213, min values: 8.6961e-07, max values: 38.331, median values: 0.20703, and quantile values: 0.25 0.061344\n0.50 0.207030\n0.75 0.902725\nName: 11231, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7731594845759746, std values: 5.387213538469941, min values: 5.5478e-07, max values: 46.511, median values: 0.26496, and quantile values: 0.25 0.07124\n0.50 0.26496\n0.75 1.19785\nName: 11232, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4010300497672954, std values: 4.87328431619696, min values: 1.447e-06, max values: 39.344, median values: 0.2053, and quantile values: 0.25 0.054261\n0.50 0.205300\n0.75 0.811320\nName: 11233, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5417885693899371, std values: 4.958018751880813, min values: 1.3681e-06, max values: 39.685, median values: 0.24673, and quantile values: 0.25 0.063202\n0.50 0.246730\n0.75 0.954125\nName: 11234, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.531861995073585, std values: 5.118268831376798, min values: 2.8853e-06, max values: 41.892, median values: 0.20784, and quantile values: 0.25 0.064592\n0.50 0.207840\n0.75 0.870655\nName: 11235, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3859337433420125, std values: 4.904104917909167, min values: 4.8268e-07, max values: 40.811, median values: 0.17001, and quantile values: 0.25 0.05681\n0.50 0.17001\n0.75 0.77839\nName: 11236, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5014313793679246, std values: 4.703827689377679, min values: 1.3908e-06, max values: 38.421, median values: 0.24767, and quantile values: 0.25 0.068324\n0.50 0.247670\n0.75 0.987280\nName: 11237, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.584699182872956, std values: 5.213542032782893, min values: 3.5129e-06, max values: 42.485, median values: 0.24297, and quantile values: 0.25 0.069694\n0.50 0.242970\n0.75 0.900975\nName: 11238, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5062924804597486, std values: 5.057361003578837, min values: 2.1655e-06, max values: 41.02, median values: 0.21918, and quantile values: 0.25 0.071008\n0.50 0.219180\n0.75 0.865405\nName: 11239, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.61936336886, std values: 5.119373442151091, min values: 9.0674e-07, max values: 42.76, median values: 0.28888, and quantile values: 0.25 0.071976\n0.50 0.288880\n0.75 1.060800\nName: 11240, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.450106135100629, std values: 4.835979474852121, min values: 1.0657e-06, max values: 38.632, median values: 0.22161, and quantile values: 0.25 0.068489\n0.50 0.221610\n0.75 0.892930\nName: 11241, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4464624003389934, std values: 5.211455553263611, min values: 1.606e-06, max values: 45.616, median values: 0.19722, and quantile values: 0.25 0.056096\n0.50 0.197220\n0.75 0.798820\nName: 11242, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5475018271361005, std values: 4.88231876325212, min values: 3.5804e-07, max values: 39.09, median values: 0.24629, and quantile values: 0.25 0.066640\n0.50 0.246290\n0.75 0.974835\nName: 11243, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6964332479553461, std values: 5.245970920195697, min values: 6.3714e-06, max values: 41.263, median values: 0.27656, and quantile values: 0.25 0.073065\n0.50 0.276560\n0.75 1.058500\nName: 11244, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5958249332886791, std values: 4.875512846254629, min values: 1.1255e-06, max values: 38.362, median values: 0.27126, and quantile values: 0.25 0.077785\n0.50 0.271260\n0.75 1.044650\nName: 11245, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.364186155372956, std values: 4.9277679023835255, min values: 2.0172e-06, max values: 40.058, median values: 0.20165, and quantile values: 0.25 0.05373\n0.50 0.20165\n0.75 0.78723\nName: 11246, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4943631420320753, std values: 4.967616666220946, min values: 3.8949e-06, max values: 40.58, median values: 0.24283, and quantile values: 0.25 0.07057\n0.50 0.24283\n0.75 0.81054\nName: 11247, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4230880388874216, std values: 4.883762705444043, min values: 1.1518e-06, max values: 39.262, median values: 0.18275, and quantile values: 0.25 0.058178\n0.50 0.182750\n0.75 0.813280\nName: 11248, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3233569955249054, std values: 4.885828970460329, min values: 4.3406e-07, max values: 41.709, median values: 0.17263, and quantile values: 0.25 0.051294\n0.50 0.172630\n0.75 0.711205\nName: 11249, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.387006352037107, std values: 4.7284556933584385, min values: 2.0041e-06, max values: 38.486, median values: 0.21286, and quantile values: 0.25 0.064941\n0.50 0.212860\n0.75 0.823085\nName: 11250, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.377989651209937, std values: 4.947926468565311, min values: 1.5011e-07, max values: 41.877, median values: 0.15723, and quantile values: 0.25 0.047897\n0.50 0.157230\n0.75 0.716990\nName: 11251, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3488175518608803, std values: 4.827004776044379, min values: 4.4598e-07, max values: 39.472, median values: 0.17528, and quantile values: 0.25 0.049594\n0.50 0.175280\n0.75 0.724400\nName: 11252, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3735577025786163, std values: 4.81146887760429, min values: 5.606e-07, max values: 38.356, median values: 0.1911, and quantile values: 0.25 0.058138\n0.50 0.191100\n0.75 0.795340\nName: 11253, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.316937086935849, std values: 4.540633550619166, min values: 1.1125e-06, max values: 38.085, median values: 0.18624, and quantile values: 0.25 0.068533\n0.50 0.186240\n0.75 0.733065\nName: 11254, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5974282815849057, std values: 5.261899647221921, min values: 3.3471e-06, max values: 43.594, median values: 0.2297, and quantile values: 0.25 0.069946\n0.50 0.229700\n0.75 0.945480\nName: 11255, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2116445506522011, std values: 4.584313455174561, min values: 1.5167e-06, max values: 38.767, median values: 0.15234, and quantile values: 0.25 0.046719\n0.50 0.152340\n0.75 0.559490\nName: 11256, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.439479932334717, std values: 4.933866487534106, min values: 6.6952e-07, max values: 40.116, median values: 0.22134, and quantile values: 0.25 0.060838\n0.50 0.221340\n0.75 0.809535\nName: 11257, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5255541084861637, std values: 5.022449183351626, min values: 2.0349e-06, max values: 40.415, median values: 0.25638, and quantile values: 0.25 0.070199\n0.50 0.256380\n0.75 0.930060\nName: 11258, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4057573570532707, std values: 4.6658493389425075, min values: 7.4267e-07, max values: 37.571, median values: 0.21352, and quantile values: 0.25 0.063224\n0.50 0.213520\n0.75 0.824920\nName: 11259, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7639214545052895, std values: 5.4459122552551635, min values: 3.7081e-08, max values: 48.746, median values: 0.23524, and quantile values: 0.25 0.061262\n0.50 0.235240\n0.75 1.257650\nName: 11260, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4064271811723268, std values: 4.882727883346851, min values: 2.111e-06, max values: 39.915, median values: 0.22267, and quantile values: 0.25 0.062788\n0.50 0.222670\n0.75 0.825210\nName: 11261, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5129032626662895, std values: 4.831250232126391, min values: 8.4274e-07, max values: 38.42, median values: 0.23256, and quantile values: 0.25 0.066585\n0.50 0.232560\n0.75 0.998260\nName: 11262, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5831457763044026, std values: 5.0787288389628715, min values: 2.6997e-06, max values: 39.97, median values: 0.26508, and quantile values: 0.25 0.066158\n0.50 0.265080\n0.75 0.987240\nName: 11263, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2980033242578617, std values: 4.667452717006406, min values: 2.656e-06, max values: 39.874, median values: 0.18518, and quantile values: 0.25 0.059168\n0.50 0.185180\n0.75 0.687070\nName: 11264, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.11283137368522, std values: 4.668813666994716, min values: 2.3209e-07, max values: 38.407, median values: 0.12597, and quantile values: 0.25 0.036784\n0.50 0.125970\n0.75 0.494740\nName: 11265, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5832783136289308, std values: 4.903238203403018, min values: 2.407e-06, max values: 39.474, median values: 0.26232, and quantile values: 0.25 0.066616\n0.50 0.262320\n0.75 1.046400\nName: 11266, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3997623516829245, std values: 4.863049741373773, min values: 1.5255e-08, max values: 40.781, median values: 0.20581, and quantile values: 0.25 0.045229\n0.50 0.205810\n0.75 0.756405\nName: 11267, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3609560553125597, std values: 4.560755068719526, min values: 2.4267e-08, max values: 36.509, median values: 0.19212, and quantile values: 0.25 0.040968\n0.50 0.192120\n0.75 0.768150\nName: 11268, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.584731609455975, std values: 5.1453638282927505, min values: 1.4379e-06, max values: 42.903, median values: 0.27551, and quantile values: 0.25 0.075561\n0.50 0.275510\n0.75 1.009940\nName: 11269, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4893427146801888, std values: 5.040816319834429, min values: 3.5165e-07, max values: 42.859, median values: 0.21824, and quantile values: 0.25 0.057259\n0.50 0.218240\n0.75 0.876565\nName: 11270, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6714412766251574, std values: 5.341300805566144, min values: 4.6488e-06, max values: 44.808, median values: 0.25155, and quantile values: 0.25 0.080648\n0.50 0.251550\n0.75 0.988695\nName: 11271, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3613463460944968, std values: 5.029199214089528, min values: 2.8965e-08, max values: 43.944, median values: 0.16469, and quantile values: 0.25 0.042716\n0.50 0.164690\n0.75 0.692660\nName: 11272, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4745401602938362, std values: 4.738728013747542, min values: 6.9152e-07, max values: 36.788, median values: 0.18965, and quantile values: 0.25 0.057832\n0.50 0.189650\n0.75 0.842240\nName: 11273, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5638113531509434, std values: 4.8620286968338915, min values: 3.2515e-06, max values: 39.51, median values: 0.27231, and quantile values: 0.25 0.076538\n0.50 0.272310\n0.75 0.979390\nName: 11274, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4478933600037736, std values: 4.9622082221073445, min values: 2.0275e-06, max values: 40.143, median values: 0.21751, and quantile values: 0.25 0.064908\n0.50 0.217510\n0.75 0.841550\nName: 11275, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7100792731616352, std values: 4.972890301036353, min values: 3.1525e-06, max values: 39.489, median values: 0.30206, and quantile values: 0.25 0.083853\n0.50 0.302060\n0.75 1.085200\nName: 11276, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7959214575763522, std values: 5.242526728225364, min values: 7.2704e-07, max values: 43.485, median values: 0.32216, and quantile values: 0.25 0.078842\n0.50 0.322160\n0.75 1.271550\nName: 11277, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2616876959598116, std values: 4.723945506324213, min values: 5.0309e-07, max values: 38.314, median values: 0.15997, and quantile values: 0.25 0.048631\n0.50 0.159970\n0.75 0.618680\nName: 11278, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5596252805230126, std values: 4.926716954347076, min values: 8.2759e-08, max values: 40.315, median values: 0.26859, and quantile values: 0.25 0.064342\n0.50 0.268590\n0.75 1.083950\nName: 11279, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5956598476037736, std values: 5.012019855934998, min values: 2.4907e-06, max values: 39.957, median values: 0.26679, and quantile values: 0.25 0.073099\n0.50 0.266790\n0.75 1.048350\nName: 11280, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4764557467698114, std values: 5.00561503956876, min values: 1.0772e-06, max values: 41.664, median values: 0.2204, and quantile values: 0.25 0.061822\n0.50 0.220400\n0.75 0.848010\nName: 11281, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6109428957727676, std values: 5.010041159471787, min values: 5.4407e-07, max values: 40.656, median values: 0.28355, and quantile values: 0.25 0.069214\n0.50 0.283550\n0.75 1.032600\nName: 11282, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.291129910195283, std values: 4.698434496775679, min values: 6.1605e-07, max values: 37.574, median values: 0.15678, and quantile values: 0.25 0.049454\n0.50 0.156780\n0.75 0.718755\nName: 11283, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.45665932754717, std values: 4.928844935201475, min values: 0.0, max values: 39.313, median values: 0.22071, and quantile values: 0.25 0.059080\n0.50 0.220710\n0.75 0.855715\nName: 11284, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.433062357373585, std values: 4.802243666244209, min values: 2.7261e-06, max values: 39.985, median values: 0.22263, and quantile values: 0.25 0.063958\n0.50 0.222630\n0.75 0.869650\nName: 11285, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5173672882911948, std values: 4.9305855610219975, min values: 2.9404e-06, max values: 39.366, median values: 0.20984, and quantile values: 0.25 0.051600\n0.50 0.209840\n0.75 0.897975\nName: 11286, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3427632392402515, std values: 4.770201815974211, min values: 1.2579e-06, max values: 38.359, median values: 0.18459, and quantile values: 0.25 0.054533\n0.50 0.184590\n0.75 0.737690\nName: 11287, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7153228702515724, std values: 4.959213686333139, min values: 2.3987e-06, max values: 39.177, median values: 0.2852, and quantile values: 0.25 0.077693\n0.50 0.285200\n0.75 1.205050\nName: 11288, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3041743707307925, std values: 4.6410941579978635, min values: 3.3036e-08, max values: 36.867, median values: 0.19708, and quantile values: 0.25 0.045185\n0.50 0.197080\n0.75 0.723560\nName: 11289, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5497526925786163, std values: 4.790652253303571, min values: 2.6075e-06, max values: 39.588, median values: 0.24159, and quantile values: 0.25 0.066534\n0.50 0.241590\n0.75 1.039750\nName: 11290, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4879373506968552, std values: 4.779302316451882, min values: 2.3424e-06, max values: 39.478, median values: 0.24811, and quantile values: 0.25 0.060639\n0.50 0.248110\n0.75 0.968645\nName: 11291, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2315885792772956, std values: 4.6833649975768585, min values: 9.2209e-07, max values: 38.246, median values: 0.13171, and quantile values: 0.25 0.045649\n0.50 0.131710\n0.75 0.612270\nName: 11292, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3514495678798741, std values: 5.039791239158058, min values: 1.4932e-06, max values: 42.817, median values: 0.18166, and quantile values: 0.25 0.052463\n0.50 0.181660\n0.75 0.759020\nName: 11293, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.458831833092453, std values: 4.923076179797276, min values: 5.2365e-06, max values: 40.996, median values: 0.21211, and quantile values: 0.25 0.073849\n0.50 0.212110\n0.75 0.807085\nName: 11294, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2184561166928303, std values: 4.814473851792672, min values: 7.8196e-07, max values: 40.409, median values: 0.11205, and quantile values: 0.25 0.038138\n0.50 0.112050\n0.75 0.529840\nName: 11295, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6287852671, std values: 5.138538345831314, min values: 4.6888e-06, max values: 40.459, median values: 0.26773, and quantile values: 0.25 0.075922\n0.50 0.267730\n0.75 0.967035\nName: 11296, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.574138661337107, std values: 5.066595749910792, min values: 2.8307e-06, max values: 40.587, median values: 0.25021, and quantile values: 0.25 0.070541\n0.50 0.250210\n0.75 0.955965\nName: 11297, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5881579810672957, std values: 5.134762794045467, min values: 2.1706e-06, max values: 42.143, median values: 0.26077, and quantile values: 0.25 0.065486\n0.50 0.260770\n0.75 1.031120\nName: 11298, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3941470347662892, std values: 5.091326903552211, min values: 5.7554e-07, max values: 43.895, median values: 0.17366, and quantile values: 0.25 0.057294\n0.50 0.173660\n0.75 0.760190\nName: 11299, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6623762795937107, std values: 5.3420544029142665, min values: 1.2719e-06, max values: 46.524, median values: 0.24506, and quantile values: 0.25 0.076765\n0.50 0.245060\n0.75 1.060400\nName: 11300, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5940656220603773, std values: 5.143684669150544, min values: 3.029e-06, max values: 41.696, median values: 0.24316, and quantile values: 0.25 0.073368\n0.50 0.243160\n0.75 0.948395\nName: 11301, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4461827364194968, std values: 5.132553196189234, min values: 2.024e-06, max values: 43.342, median values: 0.21859, and quantile values: 0.25 0.060891\n0.50 0.218590\n0.75 0.834745\nName: 11302, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8406077124679245, std values: 5.573120865469834, min values: 6.3724e-06, max values: 46.065, median values: 0.29295, and quantile values: 0.25 0.086121\n0.50 0.292950\n0.75 1.166450\nName: 11303, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.606742573674214, std values: 5.263529224636837, min values: 3.3234e-06, max values: 43.992, median values: 0.25145, and quantile values: 0.25 0.071454\n0.50 0.251450\n0.75 0.981245\nName: 11304, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4132944624989308, std values: 4.772915294010356, min values: 4.8043e-07, max values: 38.313, median values: 0.19815, and quantile values: 0.25 0.055819\n0.50 0.198150\n0.75 0.867390\nName: 11305, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.485468744755346, std values: 4.885202973691355, min values: 1.2982e-06, max values: 38.715, median values: 0.24316, and quantile values: 0.25 0.061018\n0.50 0.243160\n0.75 0.902260\nName: 11306, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.579134012653459, std values: 5.290575873506815, min values: 2.1471e-06, max values: 45.072, median values: 0.23614, and quantile values: 0.25 0.065201\n0.50 0.236140\n0.75 0.951680\nName: 11307, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.233620915875346, std values: 4.694774805373688, min values: 2.5033e-07, max values: 38.577, median values: 0.14027, and quantile values: 0.25 0.040237\n0.50 0.140270\n0.75 0.665140\nName: 11308, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.353977519946541, std values: 4.8086098482359025, min values: 2.6405e-06, max values: 39.055, median values: 0.19451, and quantile values: 0.25 0.060475\n0.50 0.194510\n0.75 0.706830\nName: 11309, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4765932839427676, std values: 4.7630248825625605, min values: 1.1117e-07, max values: 37.602, median values: 0.19269, and quantile values: 0.25 0.051418\n0.50 0.192690\n0.75 0.853280\nName: 11310, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3843383462154404, std values: 4.847247789694951, min values: 6.0355e-08, max values: 39.457, median values: 0.19336, and quantile values: 0.25 0.051866\n0.50 0.193360\n0.75 0.736595\nName: 11311, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7111789403012578, std values: 4.98134596285725, min values: 3.2557e-06, max values: 39.041, median values: 0.31194, and quantile values: 0.25 0.08355\n0.50 0.31194\n0.75 1.22105\nName: 11312, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3342422670266163, std values: 4.6945251317365235, min values: 1.9608e-08, max values: 38.532, median values: 0.16423, and quantile values: 0.25 0.032625\n0.50 0.164230\n0.75 0.655945\nName: 11313, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8216856684553457, std values: 5.161350666744103, min values: 1.4095e-06, max values: 40.927, median values: 0.30445, and quantile values: 0.25 0.080115\n0.50 0.304450\n0.75 1.319200\nName: 11314, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4742334300559747, std values: 4.88810726125989, min values: 1.282e-06, max values: 39.208, median values: 0.21159, and quantile values: 0.25 0.066005\n0.50 0.211590\n0.75 0.847290\nName: 11315, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8988033791062893, std values: 5.326011337586334, min values: 3.8299e-06, max values: 41.571, median values: 0.3508, and quantile values: 0.25 0.11016\n0.50 0.35080\n0.75 1.26450\nName: 11316, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2835825766661635, std values: 4.9439473306619925, min values: 9.8482e-07, max values: 40.959, median values: 0.15793, and quantile values: 0.25 0.050222\n0.50 0.157930\n0.75 0.644910\nName: 11317, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5301480445899371, std values: 4.935804037755065, min values: 2.4074e-06, max values: 39.519, median values: 0.26251, and quantile values: 0.25 0.075671\n0.50 0.262510\n0.75 0.908645\nName: 11318, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4346023460982391, std values: 4.7893943443286835, min values: 2.8533e-07, max values: 38.882, median values: 0.20825, and quantile values: 0.25 0.052236\n0.50 0.208250\n0.75 0.804170\nName: 11319, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5223023272283018, std values: 4.78653679472037, min values: 2.8398e-06, max values: 38.787, median values: 0.2707, and quantile values: 0.25 0.069902\n0.50 0.270700\n0.75 0.991300\nName: 11320, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.417821521235937, std values: 4.950683604991947, min values: 2.3014e-08, max values: 42.0, median values: 0.16034, and quantile values: 0.25 0.044160\n0.50 0.160340\n0.75 0.797305\nName: 11321, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6492885671396225, std values: 5.020924944473632, min values: 1.835e-06, max values: 39.674, median values: 0.28637, and quantile values: 0.25 0.076306\n0.50 0.286370\n0.75 1.076250\nName: 11322, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9118848930526418, std values: 5.795536900033564, min values: 4.2967e-07, max values: 53.334, median values: 0.27874, and quantile values: 0.25 0.069448\n0.50 0.278740\n0.75 1.285550\nName: 11323, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5546882500189307, std values: 5.004099020748799, min values: 7.5721e-07, max values: 40.754, median values: 0.25736, and quantile values: 0.25 0.067408\n0.50 0.257360\n0.75 1.008105\nName: 11324, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4915318511918239, std values: 4.671445829428554, min values: 3.961e-07, max values: 36.895, median values: 0.20365, and quantile values: 0.25 0.05183\n0.50 0.20365\n0.75 0.85268\nName: 11325, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4633952312207545, std values: 4.927399168065284, min values: 2.7629e-06, max values: 40.159, median values: 0.20318, and quantile values: 0.25 0.064725\n0.50 0.203180\n0.75 0.844045\nName: 11326, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8010614471798745, std values: 5.266240951314216, min values: 2.0028e-06, max values: 43.127, median values: 0.30423, and quantile values: 0.25 0.08323\n0.50 0.30423\n0.75 1.27135\nName: 11327, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4204561357742138, std values: 4.928388842921711, min values: 3.2408e-06, max values: 39.817, median values: 0.22596, and quantile values: 0.25 0.067172\n0.50 0.225960\n0.75 0.823595\nName: 11328, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4802731075006288, std values: 4.89041883394093, min values: 1.0678e-06, max values: 39.435, median values: 0.24104, and quantile values: 0.25 0.061878\n0.50 0.241040\n0.75 0.945680\nName: 11329, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2785873978514464, std values: 4.760022075086065, min values: 4.5598e-07, max values: 39.362, median values: 0.17452, and quantile values: 0.25 0.046878\n0.50 0.174520\n0.75 0.701360\nName: 11330, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5309447544773584, std values: 4.992721602373788, min values: 2.5094e-06, max values: 39.757, median values: 0.2374, and quantile values: 0.25 0.073122\n0.50 0.237400\n0.75 0.903265\nName: 11331, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2617833473452829, std values: 4.96433609877459, min values: 1.2315e-06, max values: 41.303, median values: 0.13791, and quantile values: 0.25 0.043246\n0.50 0.137910\n0.75 0.656010\nName: 11332, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2001441898032388, std values: 4.667201234811215, min values: 1.6025e-08, max values: 37.866, median values: 0.13513, and quantile values: 0.25 0.037780\n0.50 0.135130\n0.75 0.551295\nName: 11333, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6902194461562263, std values: 5.148074398046877, min values: 9.9714e-07, max values: 42.804, median values: 0.27261, and quantile values: 0.25 0.07111\n0.50 0.27261\n0.75 1.11540\nName: 11334, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3697248934643396, std values: 4.7029587026872415, min values: 5.6363e-07, max values: 37.36, median values: 0.20064, and quantile values: 0.25 0.052922\n0.50 0.200640\n0.75 0.804765\nName: 11335, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.562939825406918, std values: 4.818527379469088, min values: 1.2584e-06, max values: 38.148, median values: 0.25748, and quantile values: 0.25 0.073562\n0.50 0.257480\n0.75 0.997785\nName: 11336, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.621722137480503, std values: 4.975565099187586, min values: 2.5069e-06, max values: 39.809, median values: 0.31339, and quantile values: 0.25 0.085744\n0.50 0.313390\n0.75 1.050600\nName: 11337, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2583737281303775, std values: 4.691542921948739, min values: 2.4026e-07, max values: 38.596, median values: 0.13118, and quantile values: 0.25 0.034421\n0.50 0.131180\n0.75 0.574115\nName: 11338, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5021917596838301, std values: 4.73057429758743, min values: 3.3629e-08, max values: 36.998, median values: 0.20721, and quantile values: 0.25 0.052631\n0.50 0.207210\n0.75 1.031800\nName: 11339, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3979165673581762, std values: 4.660060085357274, min values: 9.165e-08, max values: 37.097, median values: 0.18384, and quantile values: 0.25 0.051863\n0.50 0.183840\n0.75 0.868460\nName: 11340, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5794265644664152, std values: 5.081476628987628, min values: 3.2886e-07, max values: 42.472, median values: 0.26531, and quantile values: 0.25 0.068254\n0.50 0.265310\n0.75 1.079400\nName: 11341, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4855620580069182, std values: 4.938413606400808, min values: 1.0558e-06, max values: 39.647, median values: 0.20868, and quantile values: 0.25 0.061451\n0.50 0.208680\n0.75 0.929090\nName: 11342, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.481415877237453, std values: 4.787462902845411, min values: 2.8905e-08, max values: 38.326, median values: 0.22291, and quantile values: 0.25 0.050097\n0.50 0.222910\n0.75 0.996695\nName: 11343, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5925317332855347, std values: 5.222325537317969, min values: 1.9614e-06, max values: 44.372, median values: 0.23925, and quantile values: 0.25 0.070914\n0.50 0.239250\n0.75 0.974050\nName: 11344, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3474134075077802, std values: 4.875347920458573, min values: 2.5437e-08, max values: 40.884, median values: 0.17856, and quantile values: 0.25 0.047125\n0.50 0.178560\n0.75 0.699900\nName: 11345, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2765388543969811, std values: 4.767513673878606, min values: 7.6802e-07, max values: 38.246, median values: 0.15303, and quantile values: 0.25 0.045077\n0.50 0.153030\n0.75 0.669345\nName: 11346, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4608722942314467, std values: 4.6497224985808705, min values: 1.3321e-06, max values: 38.163, median values: 0.24806, and quantile values: 0.25 0.070602\n0.50 0.248060\n0.75 0.930960\nName: 11347, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3444767371652202, std values: 5.0162788304866215, min values: 3.4627e-07, max values: 44.08, median values: 0.17874, and quantile values: 0.25 0.051283\n0.50 0.178740\n0.75 0.701925\nName: 11348, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6462670461559747, std values: 5.181711001411566, min values: 4.7045e-06, max values: 41.104, median values: 0.25978, and quantile values: 0.25 0.071667\n0.50 0.259780\n0.75 1.017150\nName: 11349, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3282887992915158, std values: 4.559651790850437, min values: 1.5097e-08, max values: 36.353, median values: 0.17299, and quantile values: 0.25 0.036896\n0.50 0.172990\n0.75 0.718265\nName: 11350, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7147567564999997, std values: 5.116251808950619, min values: 4.0168e-06, max values: 39.815, median values: 0.27835, and quantile values: 0.25 0.079876\n0.50 0.278350\n0.75 1.148000\nName: 11351, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4545465362132075, std values: 4.932117750763305, min values: 1.8627e-06, max values: 40.198, median values: 0.21442, and quantile values: 0.25 0.070976\n0.50 0.214420\n0.75 0.846190\nName: 11352, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4100638301826414, std values: 4.502810867060994, min values: 5.6964e-07, max values: 37.786, median values: 0.20897, and quantile values: 0.25 0.059441\n0.50 0.208970\n0.75 0.909660\nName: 11353, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5436085576270442, std values: 4.91738924876183, min values: 2.241e-06, max values: 39.615, median values: 0.22925, and quantile values: 0.25 0.066532\n0.50 0.229250\n0.75 0.946265\nName: 11354, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3429731673704401, std values: 4.919448274794142, min values: 1.0979e-06, max values: 40.642, median values: 0.1971, and quantile values: 0.25 0.049071\n0.50 0.197100\n0.75 0.704625\nName: 11355, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.352972250190629, std values: 4.653058545144573, min values: 5.5351e-07, max values: 37.692, median values: 0.20743, and quantile values: 0.25 0.055996\n0.50 0.207430\n0.75 0.784165\nName: 11356, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6061570994276728, std values: 4.943586445359027, min values: 2.148e-06, max values: 39.569, median values: 0.25442, and quantile values: 0.25 0.071927\n0.50 0.254420\n0.75 1.085400\nName: 11357, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.390997185834742, std values: 4.624151670109012, min values: 2.2074e-08, max values: 36.562, median values: 0.1814, and quantile values: 0.25 0.04114\n0.50 0.18140\n0.75 0.81853\nName: 11358, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6844767478589937, std values: 5.001704717292829, min values: 2.8548e-07, max values: 40.512, median values: 0.27799, and quantile values: 0.25 0.068679\n0.50 0.277990\n0.75 1.217600\nName: 11359, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.48568850043478, std values: 4.808369239563216, min values: 6.4453e-07, max values: 38.319, median values: 0.26617, and quantile values: 0.25 0.063215\n0.50 0.266170\n0.75 0.911680\nName: 11360, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3978763281006918, std values: 4.758715195661786, min values: 3.6991e-07, max values: 37.783, median values: 0.18217, and quantile values: 0.25 0.054900\n0.50 0.182170\n0.75 0.784505\nName: 11361, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4785036250025159, std values: 5.074863120537563, min values: 2.8078e-06, max values: 41.319, median values: 0.23265, and quantile values: 0.25 0.059765\n0.50 0.232650\n0.75 0.861665\nName: 11362, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6718415174836476, std values: 5.11450637457846, min values: 1.8917e-06, max values: 41.856, median values: 0.27935, and quantile values: 0.25 0.07649\n0.50 0.27935\n0.75 1.11350\nName: 11363, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5220607843332075, std values: 4.9212572292685035, min values: 6.2828e-07, max values: 39.55, median values: 0.23656, and quantile values: 0.25 0.065044\n0.50 0.236560\n0.75 0.937160\nName: 11364, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6330952819622642, std values: 5.33466636176335, min values: 4.8899e-06, max values: 44.893, median values: 0.26134, and quantile values: 0.25 0.081559\n0.50 0.261340\n0.75 0.972065\nName: 11365, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.432878270205346, std values: 4.898089527894907, min values: 2.139e-08, max values: 40.478, median values: 0.20595, and quantile values: 0.25 0.047578\n0.50 0.205950\n0.75 0.806115\nName: 11366, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6183990897113207, std values: 5.020072007192363, min values: 1.8992e-06, max values: 40.612, median values: 0.29641, and quantile values: 0.25 0.076404\n0.50 0.296410\n0.75 1.081700\nName: 11367, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.608254436163459, std values: 5.000090256845828, min values: 6.0439e-07, max values: 40.682, median values: 0.23395, and quantile values: 0.25 0.066434\n0.50 0.233950\n0.75 1.091300\nName: 11368, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4153440337968555, std values: 5.126479393596728, min values: 1.1929e-06, max values: 43.759, median values: 0.17694, and quantile values: 0.25 0.052563\n0.50 0.176940\n0.75 0.781770\nName: 11369, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4139942247848427, std values: 4.81296163550528, min values: 3.3769e-07, max values: 39.158, median values: 0.22795, and quantile values: 0.25 0.055593\n0.50 0.227950\n0.75 0.825720\nName: 11370, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5422118319752203, std values: 5.028563488613312, min values: 4.8872e-07, max values: 43.131, median values: 0.22302, and quantile values: 0.25 0.059027\n0.50 0.223020\n0.75 0.860625\nName: 11371, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6475894613289308, std values: 5.034763619158204, min values: 1.6435e-06, max values: 39.711, median values: 0.2486, and quantile values: 0.25 0.06893\n0.50 0.24860\n0.75 1.08965\nName: 11372, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.572497965827673, std values: 5.0121464184212, min values: 2.1427e-06, max values: 39.827, median values: 0.29039, and quantile values: 0.25 0.070892\n0.50 0.290390\n0.75 1.006780\nName: 11373, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5759079171883712, std values: 4.761340147285241, min values: 3.0581e-08, max values: 37.52, median values: 0.23447, and quantile values: 0.25 0.051339\n0.50 0.234470\n0.75 1.076850\nName: 11374, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8743206442163522, std values: 5.332374344889389, min values: 4.6003e-06, max values: 42.139, median values: 0.33476, and quantile values: 0.25 0.083222\n0.50 0.334760\n0.75 1.306900\nName: 11375, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7134150663081762, std values: 5.06659965887528, min values: 4.5548e-06, max values: 39.607, median values: 0.3148, and quantile values: 0.25 0.081569\n0.50 0.314800\n0.75 1.159450\nName: 11376, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5185606359679247, std values: 5.2019354823238775, min values: 3.4776e-06, max values: 42.897, median values: 0.23461, and quantile values: 0.25 0.070369\n0.50 0.234610\n0.75 0.843300\nName: 11377, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7222110638553458, std values: 4.842894845631329, min values: 1.7484e-06, max values: 39.036, median values: 0.29598, and quantile values: 0.25 0.08511\n0.50 0.29598\n0.75 1.22355\nName: 11378, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5112254981704403, std values: 4.8625968143482465, min values: 9.729e-07, max values: 38.796, median values: 0.25298, and quantile values: 0.25 0.065085\n0.50 0.252980\n0.75 0.989560\nName: 11379, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3983088998270439, std values: 4.833384742403868, min values: 1.9917e-06, max values: 39.836, median values: 0.22926, and quantile values: 0.25 0.055557\n0.50 0.229260\n0.75 0.819485\nName: 11380, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5250388277579245, std values: 4.903179854517214, min values: 8.0211e-07, max values: 39.093, median values: 0.25374, and quantile values: 0.25 0.064844\n0.50 0.253740\n0.75 1.031700\nName: 11381, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4758485496232703, std values: 4.861011731392581, min values: 7.589e-07, max values: 38.596, median values: 0.20648, and quantile values: 0.25 0.062048\n0.50 0.206480\n0.75 0.906950\nName: 11382, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4643247284823901, std values: 4.795454222950028, min values: 1.1435e-06, max values: 39.393, median values: 0.22559, and quantile values: 0.25 0.068748\n0.50 0.225590\n0.75 0.881800\nName: 11383, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5550269681584905, std values: 4.960270597697205, min values: 1.3224e-06, max values: 39.702, median values: 0.20432, and quantile values: 0.25 0.072713\n0.50 0.204320\n0.75 0.946525\nName: 11384, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4419245134522014, std values: 4.821280521540712, min values: 1.2563e-06, max values: 38.281, median values: 0.24284, and quantile values: 0.25 0.070324\n0.50 0.242840\n0.75 0.868930\nName: 11385, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.47805405821195, std values: 5.129828662957218, min values: 4.0602e-06, max values: 41.546, median values: 0.21578, and quantile values: 0.25 0.065677\n0.50 0.215780\n0.75 0.828490\nName: 11386, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.478177515814717, std values: 5.040402890119142, min values: 5.7134e-07, max values: 42.869, median values: 0.22563, and quantile values: 0.25 0.061231\n0.50 0.225630\n0.75 0.862110\nName: 11387, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4862023176981134, std values: 5.021098645393185, min values: 2.9996e-06, max values: 40.107, median values: 0.22401, and quantile values: 0.25 0.070056\n0.50 0.224010\n0.75 0.870700\nName: 11388, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6608014319805031, std values: 4.923569002655492, min values: 1.1006e-06, max values: 38.098, median values: 0.29373, and quantile values: 0.25 0.071076\n0.50 0.293730\n0.75 1.187900\nName: 11389, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.592647224945283, std values: 5.113438146102089, min values: 3.1234e-06, max values: 41.48, median values: 0.2367, and quantile values: 0.25 0.07069\n0.50 0.23670\n0.75 0.99015\nName: 11390, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5880030789943584, std values: 4.989242596713766, min values: 2.6013e-08, max values: 41.275, median values: 0.20141, and quantile values: 0.25 0.052878\n0.50 0.201410\n0.75 1.002065\nName: 11391, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.420231321692453, std values: 4.894282096591837, min values: 1.2062e-06, max values: 39.589, median values: 0.19539, and quantile values: 0.25 0.057461\n0.50 0.195390\n0.75 0.794460\nName: 11392, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6035241673471698, std values: 5.27090648227712, min values: 2.734e-06, max values: 44.804, median values: 0.2324, and quantile values: 0.25 0.075545\n0.50 0.232400\n0.75 0.995905\nName: 11393, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3999662444067924, std values: 5.0125081559942934, min values: 6.2548e-07, max values: 42.741, median values: 0.22147, and quantile values: 0.25 0.058454\n0.50 0.221470\n0.75 0.744520\nName: 11394, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4907310496509247, std values: 4.9309874360931545, min values: 3.4007e-08, max values: 41.182, median values: 0.19249, and quantile values: 0.25 0.051737\n0.50 0.192490\n0.75 0.896345\nName: 11395, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7550219477194968, std values: 4.98181883017795, min values: 1.8064e-06, max values: 38.888, median values: 0.31113, and quantile values: 0.25 0.090923\n0.50 0.311130\n0.75 1.278600\nName: 11396, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4914554713344654, std values: 4.964146479010049, min values: 6.7118e-07, max values: 41.004, median values: 0.22571, and quantile values: 0.25 0.055258\n0.50 0.225710\n0.75 0.884860\nName: 11397, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3659499976232705, std values: 4.947680953742649, min values: 3.0016e-06, max values: 39.924, median values: 0.19337, and quantile values: 0.25 0.061781\n0.50 0.193370\n0.75 0.726150\nName: 11398, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6526010861465408, std values: 5.360206394620379, min values: 3.0807e-06, max values: 45.57, median values: 0.25779, and quantile values: 0.25 0.073299\n0.50 0.257790\n0.75 0.978635\nName: 11399, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4433334297336478, std values: 4.807263404493035, min values: 9.3325e-07, max values: 37.995, median values: 0.204, and quantile values: 0.25 0.051317\n0.50 0.204000\n0.75 0.910255\nName: 11400, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5837726524786162, std values: 4.833675762951855, min values: 1.6014e-06, max values: 38.147, median values: 0.22205, and quantile values: 0.25 0.068698\n0.50 0.222050\n0.75 0.960950\nName: 11401, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.621318150325157, std values: 4.820970484688065, min values: 2.3207e-06, max values: 38.79, median values: 0.28068, and quantile values: 0.25 0.082726\n0.50 0.280680\n0.75 1.079250\nName: 11402, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3292399004840252, std values: 4.676964860560593, min values: 5.4266e-07, max values: 38.707, median values: 0.1645, and quantile values: 0.25 0.050859\n0.50 0.164500\n0.75 0.816985\nName: 11403, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3060589663194966, std values: 4.737701990169608, min values: 2.3611e-06, max values: 39.71, median values: 0.17958, and quantile values: 0.25 0.056761\n0.50 0.179580\n0.75 0.734780\nName: 11404, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5278427281672955, std values: 4.964041443392133, min values: 3.172e-06, max values: 39.887, median values: 0.25846, and quantile values: 0.25 0.072190\n0.50 0.258460\n0.75 0.861845\nName: 11405, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6634711881421382, std values: 5.0272930615541105, min values: 1.6064e-06, max values: 39.455, median values: 0.25233, and quantile values: 0.25 0.072505\n0.50 0.252330\n0.75 1.069600\nName: 11406, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4512801545515723, std values: 5.235638600599917, min values: 1.4679e-06, max values: 45.339, median values: 0.16922, and quantile values: 0.25 0.051242\n0.50 0.169220\n0.75 0.887150\nName: 11407, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.423135553526855, std values: 4.7948870579794285, min values: 8.5287e-07, max values: 38.627, median values: 0.18358, and quantile values: 0.25 0.055127\n0.50 0.183580\n0.75 0.871545\nName: 11408, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3419723357128868, std values: 4.714427304332954, min values: 1.8559e-08, max values: 37.862, median values: 0.18242, and quantile values: 0.25 0.049583\n0.50 0.182420\n0.75 0.791000\nName: 11409, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.636741023653459, std values: 5.122380204616462, min values: 8.362e-07, max values: 43.13, median values: 0.27336, and quantile values: 0.25 0.075356\n0.50 0.273360\n0.75 1.081900\nName: 11410, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4436983199852202, std values: 4.803290062662258, min values: 5.8655e-07, max values: 38.547, median values: 0.19711, and quantile values: 0.25 0.058675\n0.50 0.197110\n0.75 0.913350\nName: 11411, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.413240614188239, std values: 4.712184055765789, min values: 5.3093e-07, max values: 37.4, median values: 0.2158, and quantile values: 0.25 0.064565\n0.50 0.215800\n0.75 0.880635\nName: 11412, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3503271865861635, std values: 4.893417697034269, min values: 7.2e-07, max values: 40.604, median values: 0.19174, and quantile values: 0.25 0.054702\n0.50 0.191740\n0.75 0.731305\nName: 11413, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5951550488427675, std values: 4.924210724139293, min values: 4.1916e-06, max values: 39.877, median values: 0.24936, and quantile values: 0.25 0.083004\n0.50 0.249360\n0.75 0.964610\nName: 11414, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3835164722490567, std values: 4.928551722283241, min values: 3.1588e-06, max values: 40.069, median values: 0.2015, and quantile values: 0.25 0.058384\n0.50 0.201500\n0.75 0.750670\nName: 11415, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.528456189436478, std values: 4.938376642710891, min values: 6.468e-07, max values: 40.026, median values: 0.21646, and quantile values: 0.25 0.062059\n0.50 0.216460\n0.75 1.015500\nName: 11416, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8913996576232706, std values: 5.383318063998107, min values: 4.2912e-06, max values: 42.483, median values: 0.34901, and quantile values: 0.25 0.091342\n0.50 0.349010\n0.75 1.316700\nName: 11417, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.570865932521824, std values: 4.944592919976394, min values: 7.0807e-07, max values: 39.059, median values: 0.22881, and quantile values: 0.25 0.070756\n0.50 0.228810\n0.75 1.006300\nName: 11418, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3726497931626414, std values: 4.795283648665355, min values: 2.0066e-07, max values: 38.957, median values: 0.19578, and quantile values: 0.25 0.052865\n0.50 0.195780\n0.75 0.776910\nName: 11419, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.554933116948428, std values: 5.0067902886432, min values: 2.2575e-06, max values: 40.101, median values: 0.28593, and quantile values: 0.25 0.066440\n0.50 0.285930\n0.75 0.988805\nName: 11420, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3693572870919495, std values: 4.744838451802102, min values: 6.0632e-07, max values: 38.337, median values: 0.16978, and quantile values: 0.25 0.050999\n0.50 0.169780\n0.75 0.754760\nName: 11421, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5489957400132075, std values: 4.922571373256561, min values: 1.7608e-06, max values: 38.773, median values: 0.25355, and quantile values: 0.25 0.075449\n0.50 0.253550\n0.75 0.932775\nName: 11422, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5069497320437735, std values: 4.809063542958132, min values: 5.5836e-07, max values: 38.606, median values: 0.22959, and quantile values: 0.25 0.062253\n0.50 0.229590\n0.75 1.000850\nName: 11423, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3955204004154087, std values: 4.882818028177754, min values: 6.4465e-07, max values: 40.594, median values: 0.20849, and quantile values: 0.25 0.066054\n0.50 0.208490\n0.75 0.769930\nName: 11424, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3477750700348425, std values: 4.77890653968054, min values: 7.6324e-07, max values: 38.612, median values: 0.17647, and quantile values: 0.25 0.054430\n0.50 0.176470\n0.75 0.742435\nName: 11425, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5080725190723272, std values: 5.001045038770754, min values: 3.38e-06, max values: 40.201, median values: 0.21779, and quantile values: 0.25 0.065368\n0.50 0.217790\n0.75 0.874045\nName: 11426, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4054531938925472, std values: 4.897179491563864, min values: 1.5015e-08, max values: 40.336, median values: 0.17258, and quantile values: 0.25 0.04322\n0.50 0.17258\n0.75 0.79647\nName: 11427, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2416269773301887, std values: 4.768340860518334, min values: 1.2377e-06, max values: 39.477, median values: 0.15096, and quantile values: 0.25 0.049969\n0.50 0.150960\n0.75 0.536070\nName: 11428, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4611346579239624, std values: 4.569848202513626, min values: 1.3321e-07, max values: 37.184, median values: 0.22351, and quantile values: 0.25 0.065772\n0.50 0.223510\n0.75 0.959405\nName: 11429, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6271695658286605, std values: 4.953278565354531, min values: 4.1227e-08, max values: 40.567, median values: 0.26051, and quantile values: 0.25 0.057447\n0.50 0.260510\n0.75 1.105750\nName: 11430, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.378890337410063, std values: 4.97124432598498, min values: 1.0629e-06, max values: 41.506, median values: 0.18355, and quantile values: 0.25 0.049161\n0.50 0.183550\n0.75 0.721050\nName: 11431, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.359962413021195, std values: 4.75301523375574, min values: 4.3037e-07, max values: 38.21, median values: 0.20176, and quantile values: 0.25 0.050205\n0.50 0.201760\n0.75 0.816910\nName: 11432, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.281177804144654, std values: 4.5697638882165705, min values: 2.4037e-06, max values: 38.214, median values: 0.18229, and quantile values: 0.25 0.057904\n0.50 0.182290\n0.75 0.696745\nName: 11433, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5113764062251571, std values: 5.040055539411479, min values: 2.9925e-06, max values: 40.288, median values: 0.2124, and quantile values: 0.25 0.068468\n0.50 0.212400\n0.75 0.869530\nName: 11434, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6701440261685534, std values: 4.94887014804971, min values: 3.7551e-06, max values: 40.185, median values: 0.28693, and quantile values: 0.25 0.081535\n0.50 0.286930\n0.75 1.159500\nName: 11435, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7743421533006292, std values: 5.201707951909722, min values: 2.8775e-06, max values: 41.325, median values: 0.31965, and quantile values: 0.25 0.086667\n0.50 0.319650\n0.75 1.280800\nName: 11436, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.543155697371069, std values: 4.870893163971067, min values: 1.8218e-06, max values: 38.832, median values: 0.28198, and quantile values: 0.25 0.063119\n0.50 0.281980\n0.75 0.958725\nName: 11437, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3847398187156919, std values: 4.920304582876703, min values: 2.0275e-08, max values: 42.161, median values: 0.17707, and quantile values: 0.25 0.041025\n0.50 0.177070\n0.75 0.750055\nName: 11438, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7169598176273584, std values: 4.944815023815263, min values: 5.9725e-07, max values: 38.504, median values: 0.25585, and quantile values: 0.25 0.071514\n0.50 0.255850\n0.75 1.213950\nName: 11439, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5378676806761007, std values: 4.852171091166404, min values: 1.2766e-06, max values: 38.474, median values: 0.2062, and quantile values: 0.25 0.068975\n0.50 0.206200\n0.75 0.983035\nName: 11440, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7283222661515723, std values: 5.2325186329906375, min values: 1.8017e-06, max values: 43.296, median values: 0.26376, and quantile values: 0.25 0.065817\n0.50 0.263760\n0.75 1.217850\nName: 11441, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5421979632286165, std values: 4.9049999384144005, min values: 1.0415e-07, max values: 40.487, median values: 0.22476, and quantile values: 0.25 0.047952\n0.50 0.224760\n0.75 1.007460\nName: 11442, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3167374176106919, std values: 4.84496498517583, min values: 3.1271e-06, max values: 40.385, median values: 0.17948, and quantile values: 0.25 0.057755\n0.50 0.179480\n0.75 0.710765\nName: 11443, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.652468055093711, std values: 5.103124674173346, min values: 4.2209e-06, max values: 40.928, median values: 0.29139, and quantile values: 0.25 0.077946\n0.50 0.291390\n0.75 1.014400\nName: 11444, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.423618988472327, std values: 5.17571866566923, min values: 1.9714e-06, max values: 44.98, median values: 0.20283, and quantile values: 0.25 0.053154\n0.50 0.202830\n0.75 0.842990\nName: 11445, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2887791085799873, std values: 4.720513853623568, min values: 5.2588e-08, max values: 38.723, median values: 0.15907, and quantile values: 0.25 0.040066\n0.50 0.159070\n0.75 0.692235\nName: 11446, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4230007750883331, std values: 4.78786173742059, min values: 9.9425e-08, max values: 38.65, median values: 0.20314, and quantile values: 0.25 0.050110\n0.50 0.203140\n0.75 0.860285\nName: 11447, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.568174579945912, std values: 5.171216882645656, min values: 3.9465e-06, max values: 41.409, median values: 0.2282, and quantile values: 0.25 0.065807\n0.50 0.228200\n0.75 0.887090\nName: 11448, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.32282834655283, std values: 4.877124115849007, min values: 1.2093e-06, max values: 40.106, median values: 0.17395, and quantile values: 0.25 0.064087\n0.50 0.173950\n0.75 0.725380\nName: 11449, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2891811405531446, std values: 4.746213806889018, min values: 3.6715e-07, max values: 38.553, median values: 0.17557, and quantile values: 0.25 0.051608\n0.50 0.175570\n0.75 0.716270\nName: 11450, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5765130686886792, std values: 5.310380619104753, min values: 7.279e-07, max values: 47.294, median values: 0.23399, and quantile values: 0.25 0.069395\n0.50 0.233990\n0.75 0.946810\nName: 11451, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5112739521930816, std values: 4.950358937023758, min values: 1.0944e-06, max values: 39.939, median values: 0.22223, and quantile values: 0.25 0.066234\n0.50 0.222230\n0.75 0.910140\nName: 11452, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6222128885069182, std values: 4.9019777502886726, min values: 2.1985e-06, max values: 39.36, median values: 0.2697, and quantile values: 0.25 0.077543\n0.50 0.269700\n0.75 1.102300\nName: 11453, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3215112665996853, std values: 4.860695119785751, min values: 4.3085e-07, max values: 39.887, median values: 0.15878, and quantile values: 0.25 0.051108\n0.50 0.158780\n0.75 0.725985\nName: 11454, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6460779722465408, std values: 5.161383069218564, min values: 2.7532e-06, max values: 41.183, median values: 0.28964, and quantile values: 0.25 0.071178\n0.50 0.289640\n0.75 1.071585\nName: 11455, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.672481376424088, std values: 5.205369018519829, min values: 7.7623e-07, max values: 44.202, median values: 0.27374, and quantile values: 0.25 0.077388\n0.50 0.273740\n0.75 1.143600\nName: 11456, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3845500875490566, std values: 4.70367298545193, min values: 1.5276e-06, max values: 39.537, median values: 0.19974, and quantile values: 0.25 0.06100\n0.50 0.19974\n0.75 0.79879\nName: 11457, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7815394889716984, std values: 5.341879224010929, min values: 1.4712e-06, max values: 44.798, median values: 0.27555, and quantile values: 0.25 0.07341\n0.50 0.27555\n0.75 1.25640\nName: 11458, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5113313505201258, std values: 4.942093155883899, min values: 1.9115e-06, max values: 39.458, median values: 0.24869, and quantile values: 0.25 0.062459\n0.50 0.248690\n0.75 0.965570\nName: 11459, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3450982570201258, std values: 4.5777753530245615, min values: 3.289e-07, max values: 37.503, median values: 0.20093, and quantile values: 0.25 0.056836\n0.50 0.200930\n0.75 0.784830\nName: 11460, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.713561874416981, std values: 5.005857832104943, min values: 3.2262e-06, max values: 40.312, median values: 0.31238, and quantile values: 0.25 0.084629\n0.50 0.312380\n0.75 1.080800\nName: 11461, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5215548732408808, std values: 4.984348845914874, min values: 4.498e-07, max values: 41.367, median values: 0.2531, and quantile values: 0.25 0.060100\n0.50 0.253100\n0.75 0.932975\nName: 11462, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.473310714775849, std values: 4.955115555237886, min values: 3.5836e-07, max values: 41.691, median values: 0.21312, and quantile values: 0.25 0.064633\n0.50 0.213120\n0.75 0.833615\nName: 11463, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.426418580873585, std values: 4.839859282638686, min values: 2.2568e-06, max values: 38.573, median values: 0.21139, and quantile values: 0.25 0.067494\n0.50 0.211390\n0.75 0.842230\nName: 11464, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4113445540440879, std values: 4.604914334367216, min values: 7.8911e-07, max values: 37.554, median values: 0.2124, and quantile values: 0.25 0.063811\n0.50 0.212400\n0.75 0.891690\nName: 11465, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4958174087129559, std values: 4.953708613930129, min values: 8.7116e-07, max values: 40.773, median values: 0.24429, and quantile values: 0.25 0.069996\n0.50 0.244290\n0.75 0.963085\nName: 11466, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.400214268853761, std values: 4.8692977361707515, min values: 1.5248e-08, max values: 40.119, median values: 0.18947, and quantile values: 0.25 0.047816\n0.50 0.189470\n0.75 0.779790\nName: 11467, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5933371152226414, std values: 4.96234838902902, min values: 1.6341e-06, max values: 39.114, median values: 0.26459, and quantile values: 0.25 0.069348\n0.50 0.264590\n0.75 1.059570\nName: 11468, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.535341991626478, std values: 4.679879659220915, min values: 5.3711e-07, max values: 37.242, median values: 0.21215, and quantile values: 0.25 0.057153\n0.50 0.212150\n0.75 1.002065\nName: 11469, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5080714856842767, std values: 4.774480855285818, min values: 1.6062e-06, max values: 38.265, median values: 0.21939, and quantile values: 0.25 0.065323\n0.50 0.219390\n0.75 1.009830\nName: 11470, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5393015737408176, std values: 4.824968022752625, min values: 6.7909e-07, max values: 37.742, median values: 0.24738, and quantile values: 0.25 0.062921\n0.50 0.247380\n0.75 0.988645\nName: 11471, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5960292312226412, std values: 4.959728565264857, min values: 4.2368e-06, max values: 39.767, median values: 0.25523, and quantile values: 0.25 0.077482\n0.50 0.255230\n0.75 1.002150\nName: 11472, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.572745982780692, std values: 5.1019651962492265, min values: 3.1093e-07, max values: 43.276, median values: 0.26795, and quantile values: 0.25 0.061098\n0.50 0.267950\n0.75 1.009750\nName: 11473, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4879620200402515, std values: 4.798333591380188, min values: 1.6199e-06, max values: 38.972, median values: 0.22824, and quantile values: 0.25 0.058105\n0.50 0.228240\n0.75 0.906325\nName: 11474, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3534421255987419, std values: 4.883423451064087, min values: 1.6848e-06, max values: 39.301, median values: 0.17507, and quantile values: 0.25 0.05530\n0.50 0.17507\n0.75 0.77602\nName: 11475, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4911726614125786, std values: 5.081900532375748, min values: 4.0376e-06, max values: 40.727, median values: 0.22627, and quantile values: 0.25 0.070751\n0.50 0.226270\n0.75 0.854125\nName: 11476, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.833571137880503, std values: 5.4499444438466575, min values: 5.5395e-06, max values: 43.93, median values: 0.33877, and quantile values: 0.25 0.083859\n0.50 0.338770\n0.75 1.103150\nName: 11477, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3816375450688054, std values: 4.726341063968663, min values: 2.7261e-07, max values: 38.165, median values: 0.22193, and quantile values: 0.25 0.05504\n0.50 0.22193\n0.75 0.81171\nName: 11478, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5696600099270441, std values: 4.995424215686537, min values: 3.39e-06, max values: 40.749, median values: 0.24141, and quantile values: 0.25 0.073577\n0.50 0.241410\n0.75 0.961785\nName: 11479, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.464720850663522, std values: 4.873745033139148, min values: 2.7233e-06, max values: 38.996, median values: 0.23428, and quantile values: 0.25 0.064596\n0.50 0.234280\n0.75 0.902085\nName: 11480, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6560684371591194, std values: 5.126290886092291, min values: 2.5756e-06, max values: 40.604, median values: 0.29558, and quantile values: 0.25 0.066610\n0.50 0.295580\n0.75 1.077265\nName: 11481, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5578707589930818, std values: 4.690970783333569, min values: 2.2397e-06, max values: 38.404, median values: 0.2788, and quantile values: 0.25 0.085225\n0.50 0.278800\n0.75 1.040700\nName: 11482, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4388083803490566, std values: 4.80799934552816, min values: 1.3512e-06, max values: 38.628, median values: 0.19678, and quantile values: 0.25 0.061624\n0.50 0.196780\n0.75 0.832575\nName: 11483, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4648743798044026, std values: 4.819631047498229, min values: 5.33e-07, max values: 39.094, median values: 0.19096, and quantile values: 0.25 0.063176\n0.50 0.190960\n0.75 0.869785\nName: 11484, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4329568465220126, std values: 4.934002354844538, min values: 2.9717e-06, max values: 40.276, median values: 0.20801, and quantile values: 0.25 0.056874\n0.50 0.208010\n0.75 0.794535\nName: 11485, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3834183535553461, std values: 4.846763485809822, min values: 2.1661e-06, max values: 40.127, median values: 0.21952, and quantile values: 0.25 0.055687\n0.50 0.219520\n0.75 0.840300\nName: 11486, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.572027412034591, std values: 5.121684945042482, min values: 6.879e-06, max values: 42.608, median values: 0.26066, and quantile values: 0.25 0.064343\n0.50 0.260660\n0.75 0.840335\nName: 11487, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9982183702252199, std values: 5.516738833805433, min values: 3.9891e-07, max values: 46.002, median values: 0.34736, and quantile values: 0.25 0.078866\n0.50 0.347360\n0.75 1.426350\nName: 11488, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6841185854193712, std values: 5.091738608091818, min values: 4.9458e-07, max values: 41.393, median values: 0.29235, and quantile values: 0.25 0.070155\n0.50 0.292350\n0.75 1.186050\nName: 11489, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.764413766037736, std values: 5.167373429998134, min values: 3.0718e-06, max values: 41.014, median values: 0.28686, and quantile values: 0.25 0.09537\n0.50 0.28686\n0.75 1.15855\nName: 11490, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5159323495844526, std values: 4.71035871496067, min values: 1.9348e-08, max values: 36.826, median values: 0.22034, and quantile values: 0.25 0.047886\n0.50 0.220340\n0.75 0.942280\nName: 11491, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.505243901381132, std values: 5.26236035634641, min values: 2.546e-06, max values: 44.504, median values: 0.21016, and quantile values: 0.25 0.062535\n0.50 0.210160\n0.75 0.845800\nName: 11492, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3373257206937104, std values: 4.963505434097129, min values: 1.5175e-06, max values: 40.241, median values: 0.18931, and quantile values: 0.25 0.050707\n0.50 0.189310\n0.75 0.744545\nName: 11493, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2904492537361825, std values: 4.494606479229987, min values: 1.5673e-08, max values: 36.709, median values: 0.15878, and quantile values: 0.25 0.042868\n0.50 0.158780\n0.75 0.680825\nName: 11494, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.324277340414528, std values: 4.8395760665760195, min values: 3.8301e-07, max values: 39.545, median values: 0.19316, and quantile values: 0.25 0.048397\n0.50 0.193160\n0.75 0.677425\nName: 11495, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7130308529704403, std values: 5.165608038568638, min values: 3.9484e-06, max values: 40.845, median values: 0.28179, and quantile values: 0.25 0.089832\n0.50 0.281790\n0.75 1.099950\nName: 11496, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.595233052135786, std values: 4.798095265711594, min values: 2.1999e-07, max values: 37.88, median values: 0.2882, and quantile values: 0.25 0.072514\n0.50 0.288200\n0.75 1.123350\nName: 11497, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3870755286495597, std values: 4.693417902636761, min values: 2.8888e-07, max values: 37.184, median values: 0.17223, and quantile values: 0.25 0.048860\n0.50 0.172230\n0.75 0.803965\nName: 11498, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3557991279378616, std values: 4.753707111259263, min values: 6.8172e-07, max values: 38.321, median values: 0.21241, and quantile values: 0.25 0.054539\n0.50 0.212410\n0.75 0.782450\nName: 11499, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3185669766349055, std values: 4.658110819087669, min values: 1.2406e-07, max values: 37.853, median values: 0.17898, and quantile values: 0.25 0.048147\n0.50 0.178980\n0.75 0.702455\nName: 11500, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5826182872239623, std values: 4.74821360738933, min values: 2.9851e-07, max values: 38.976, median values: 0.26857, and quantile values: 0.25 0.06466\n0.50 0.26857\n0.75 1.06715\nName: 11501, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9521340214440253, std values: 5.374997309909276, min values: 4.259e-06, max values: 42.365, median values: 0.34616, and quantile values: 0.25 0.092306\n0.50 0.346160\n0.75 1.392100\nName: 11502, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4113424732289306, std values: 5.024533329555084, min values: 3.2387e-06, max values: 40.666, median values: 0.21186, and quantile values: 0.25 0.057466\n0.50 0.211860\n0.75 0.737720\nName: 11503, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5782962050427674, std values: 4.892458573800954, min values: 4.6793e-06, max values: 40.447, median values: 0.2567, and quantile values: 0.25 0.079178\n0.50 0.256700\n0.75 0.981335\nName: 11504, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5776510431509434, std values: 5.273932627600822, min values: 3.5547e-06, max values: 44.401, median values: 0.23782, and quantile values: 0.25 0.080173\n0.50 0.237820\n0.75 0.931630\nName: 11505, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.387946489973585, std values: 4.765752109601617, min values: 1.6035e-06, max values: 38.795, median values: 0.20981, and quantile values: 0.25 0.063023\n0.50 0.209810\n0.75 0.803935\nName: 11506, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5014937513339623, std values: 4.9721874611235535, min values: 3.4562e-06, max values: 41.17, median values: 0.22425, and quantile values: 0.25 0.062928\n0.50 0.224250\n0.75 0.852450\nName: 11507, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5755281241101888, std values: 5.195681103935006, min values: 4.2912e-07, max values: 45.215, median values: 0.21578, and quantile values: 0.25 0.054278\n0.50 0.215780\n0.75 0.884300\nName: 11508, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6381131966131446, std values: 5.1430774716396135, min values: 3.5739e-07, max values: 43.393, median values: 0.26772, and quantile values: 0.25 0.06430\n0.50 0.26772\n0.75 1.09075\nName: 11509, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4786135351100629, std values: 4.882297090405541, min values: 5.506e-07, max values: 39.888, median values: 0.23261, and quantile values: 0.25 0.066673\n0.50 0.232610\n0.75 0.914020\nName: 11510, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6398923860968555, std values: 5.252761901528453, min values: 4.6593e-06, max values: 42.802, median values: 0.24485, and quantile values: 0.25 0.074601\n0.50 0.244850\n0.75 1.014145\nName: 11511, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4206740321699372, std values: 4.931172408135077, min values: 2.5559e-07, max values: 41.324, median values: 0.19083, and quantile values: 0.25 0.046849\n0.50 0.190830\n0.75 0.798550\nName: 11512, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4309929857994215, std values: 4.9517338662045285, min values: 2.7368e-08, max values: 42.264, median values: 0.17854, and quantile values: 0.25 0.045586\n0.50 0.178540\n0.75 0.794455\nName: 11513, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5400879152641507, std values: 5.0307925160801545, min values: 1.358e-06, max values: 41.394, median values: 0.23515, and quantile values: 0.25 0.067555\n0.50 0.235150\n0.75 0.951850\nName: 11514, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4652746965804402, std values: 4.678281888453765, min values: 1.2259e-07, max values: 37.495, median values: 0.22025, and quantile values: 0.25 0.058897\n0.50 0.220250\n0.75 0.920910\nName: 11515, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4207738030477988, std values: 4.747382851996252, min values: 1.9595e-06, max values: 39.339, median values: 0.22772, and quantile values: 0.25 0.057052\n0.50 0.227720\n0.75 0.804780\nName: 11516, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.469135456471698, std values: 5.04039051960921, min values: 1.317e-06, max values: 41.283, median values: 0.20248, and quantile values: 0.25 0.061405\n0.50 0.202480\n0.75 0.870265\nName: 11517, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5336885571686227, std values: 5.070255215493383, min values: 2.4211e-08, max values: 43.62, median values: 0.19498, and quantile values: 0.25 0.057395\n0.50 0.194980\n0.75 0.911460\nName: 11518, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3803016544581763, std values: 4.688099728104027, min values: 3.4265e-07, max values: 37.172, median values: 0.19767, and quantile values: 0.25 0.050485\n0.50 0.197670\n0.75 0.885035\nName: 11519, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6069198756704401, std values: 5.117532182988702, min values: 5.086e-07, max values: 43.408, median values: 0.24702, and quantile values: 0.25 0.063104\n0.50 0.247020\n0.75 0.993080\nName: 11520, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4451659395389935, std values: 4.835261392297614, min values: 4.206e-07, max values: 38.977, median values: 0.2029, and quantile values: 0.25 0.056681\n0.50 0.202900\n0.75 0.922370\nName: 11521, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4405702812106917, std values: 4.829276173534186, min values: 1.7426e-06, max values: 40.014, median values: 0.20346, and quantile values: 0.25 0.053672\n0.50 0.203460\n0.75 0.835575\nName: 11522, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.771132509081761, std values: 5.476994640687052, min values: 5.2124e-06, max values: 45.099, median values: 0.29707, and quantile values: 0.25 0.080094\n0.50 0.297070\n0.75 1.040550\nName: 11523, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6161272205496857, std values: 4.984305301412558, min values: 2.9162e-06, max values: 40.186, median values: 0.26166, and quantile values: 0.25 0.078983\n0.50 0.261660\n0.75 1.015350\nName: 11524, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9370380227427675, std values: 5.415187098061443, min values: 6.4521e-06, max values: 40.864, median values: 0.36108, and quantile values: 0.25 0.10543\n0.50 0.36108\n0.75 1.27345\nName: 11525, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.456144876354088, std values: 4.878664712030037, min values: 1.6739e-06, max values: 39.389, median values: 0.23453, and quantile values: 0.25 0.062318\n0.50 0.234530\n0.75 0.910490\nName: 11526, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5746222307050313, std values: 5.1305584605593, min values: 3.662e-06, max values: 40.751, median values: 0.25955, and quantile values: 0.25 0.068985\n0.50 0.259550\n0.75 0.886980\nName: 11527, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5767685208050315, std values: 5.180390595298848, min values: 2.8075e-06, max values: 42.731, median values: 0.2323, and quantile values: 0.25 0.070436\n0.50 0.232300\n0.75 0.926620\nName: 11528, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6978633884031449, std values: 5.275813266753162, min values: 1.317e-06, max values: 42.907, median values: 0.30133, and quantile values: 0.25 0.081656\n0.50 0.301330\n0.75 1.054050\nName: 11529, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.682662027601824, std values: 4.980825070567751, min values: 8.8509e-07, max values: 39.323, median values: 0.30729, and quantile values: 0.25 0.081757\n0.50 0.307290\n0.75 1.195650\nName: 11530, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2799711163594338, std values: 4.637354841712615, min values: 1.3017e-07, max values: 36.949, median values: 0.16061, and quantile values: 0.25 0.045478\n0.50 0.160610\n0.75 0.673690\nName: 11531, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.581071044246541, std values: 5.08365181035321, min values: 3.2372e-06, max values: 40.623, median values: 0.26273, and quantile values: 0.25 0.075046\n0.50 0.262730\n0.75 0.988770\nName: 11532, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7760261347232702, std values: 5.32284062931802, min values: 2.4174e-06, max values: 44.263, median values: 0.29712, and quantile values: 0.25 0.080627\n0.50 0.297120\n0.75 1.242250\nName: 11533, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3712656887220127, std values: 4.979846551916557, min values: 2.6975e-06, max values: 40.067, median values: 0.19504, and quantile values: 0.25 0.064482\n0.50 0.195040\n0.75 0.724660\nName: 11534, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.757005734587421, std values: 5.278392249020173, min values: 5.8996e-06, max values: 41.113, median values: 0.30394, and quantile values: 0.25 0.080207\n0.50 0.303940\n0.75 1.071300\nName: 11535, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4004542165729559, std values: 4.894716393503324, min values: 2.7506e-06, max values: 39.622, median values: 0.20435, and quantile values: 0.25 0.062136\n0.50 0.204350\n0.75 0.778300\nName: 11536, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4419188929860691, std values: 4.804308205529697, min values: 6.8085e-08, max values: 38.85, median values: 0.20582, and quantile values: 0.25 0.051857\n0.50 0.205820\n0.75 0.854045\nName: 11537, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4522797701372328, std values: 4.9526200309915795, min values: 5.542e-08, max values: 41.526, median values: 0.18978, and quantile values: 0.25 0.051432\n0.50 0.189780\n0.75 0.867065\nName: 11538, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6676034021660378, std values: 4.918434673598407, min values: 2.4022e-06, max values: 39.487, median values: 0.29514, and quantile values: 0.25 0.078545\n0.50 0.295140\n0.75 1.147200\nName: 11539, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4207247842386415, std values: 4.777414773367197, min values: 1.8384e-08, max values: 38.425, median values: 0.19581, and quantile values: 0.25 0.054207\n0.50 0.195810\n0.75 0.854315\nName: 11540, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4417165238943397, std values: 4.885284855109196, min values: 3.8906e-06, max values: 39.914, median values: 0.22704, and quantile values: 0.25 0.074740\n0.50 0.227040\n0.75 0.814795\nName: 11541, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3809566046496855, std values: 4.704808588293462, min values: 2.4011e-06, max values: 38.963, median values: 0.20356, and quantile values: 0.25 0.061335\n0.50 0.203560\n0.75 0.842210\nName: 11542, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2662004863169811, std values: 4.838595804919076, min values: 2.696e-06, max values: 40.446, median values: 0.16267, and quantile values: 0.25 0.050140\n0.50 0.162670\n0.75 0.636645\nName: 11543, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5559325555591197, std values: 5.100679388350477, min values: 1.4445e-06, max values: 41.86, median values: 0.24662, and quantile values: 0.25 0.062130\n0.50 0.246620\n0.75 1.032995\nName: 11544, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3678749581062892, std values: 4.863176410513586, min values: 1.3351e-06, max values: 38.865, median values: 0.18465, and quantile values: 0.25 0.057355\n0.50 0.184650\n0.75 0.787580\nName: 11545, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3442375649810692, std values: 4.811450497843127, min values: 6.1519e-07, max values: 39.225, median values: 0.1595, and quantile values: 0.25 0.049920\n0.50 0.159500\n0.75 0.772645\nName: 11546, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4996726050748428, std values: 5.000859982191722, min values: 3.7212e-06, max values: 39.713, median values: 0.2499, and quantile values: 0.25 0.063281\n0.50 0.249900\n0.75 0.897830\nName: 11547, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3626943940194969, std values: 4.954687862672184, min values: 2.0152e-06, max values: 40.266, median values: 0.19503, and quantile values: 0.25 0.054867\n0.50 0.195030\n0.75 0.719890\nName: 11548, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.444758931157107, std values: 4.964483700693455, min values: 8.9948e-07, max values: 41.024, median values: 0.17084, and quantile values: 0.25 0.055309\n0.50 0.170840\n0.75 0.852960\nName: 11549, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5490338759849056, std values: 5.222458417363994, min values: 4.9362e-06, max values: 41.792, median values: 0.25693, and quantile values: 0.25 0.081106\n0.50 0.256930\n0.75 0.835375\nName: 11550, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8958161188132077, std values: 5.304454514274806, min values: 5.5216e-06, max values: 40.94, median values: 0.33178, and quantile values: 0.25 0.083108\n0.50 0.331780\n0.75 1.293450\nName: 11551, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.692783300013207, std values: 4.9749152451551115, min values: 4.652e-06, max values: 40.282, median values: 0.27438, and quantile values: 0.25 0.091064\n0.50 0.274380\n0.75 1.093850\nName: 11552, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5043232171798744, std values: 4.700409449282029, min values: 1.0065e-06, max values: 38.531, median values: 0.22439, and quantile values: 0.25 0.061293\n0.50 0.224390\n0.75 0.965550\nName: 11553, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3679262328632706, std values: 4.538829774067168, min values: 4.9136e-07, max values: 36.923, median values: 0.19766, and quantile values: 0.25 0.061634\n0.50 0.197660\n0.75 0.816810\nName: 11554, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4650754499037735, std values: 4.878693375108444, min values: 1.9551e-06, max values: 38.685, median values: 0.22388, and quantile values: 0.25 0.063019\n0.50 0.223880\n0.75 0.889555\nName: 11555, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5472949744048428, std values: 4.925471762666142, min values: 5.0487e-07, max values: 39.333, median values: 0.2249, and quantile values: 0.25 0.061759\n0.50 0.224900\n0.75 0.949155\nName: 11556, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3820953420652828, std values: 4.756536903103917, min values: 4.0148e-07, max values: 38.223, median values: 0.19657, and quantile values: 0.25 0.057301\n0.50 0.196570\n0.75 0.774465\nName: 11557, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4777340321752201, std values: 4.863249560037544, min values: 4.7316e-07, max values: 39.943, median values: 0.19517, and quantile values: 0.25 0.056839\n0.50 0.195170\n0.75 0.911275\nName: 11558, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6083516487251572, std values: 5.132437969906096, min values: 4.7914e-06, max values: 40.736, median values: 0.27092, and quantile values: 0.25 0.074333\n0.50 0.270920\n0.75 0.924540\nName: 11559, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5888153290289309, std values: 5.0929027495813886, min values: 3.64e-06, max values: 40.59, median values: 0.24501, and quantile values: 0.25 0.065927\n0.50 0.245010\n0.75 0.996765\nName: 11560, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5839345173106918, std values: 5.031440042170467, min values: 1.6756e-06, max values: 40.883, median values: 0.26266, and quantile values: 0.25 0.078855\n0.50 0.262660\n0.75 1.015000\nName: 11561, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.522515631281132, std values: 4.831935405661637, min values: 1.4957e-06, max values: 39.478, median values: 0.23508, and quantile values: 0.25 0.054588\n0.50 0.235080\n0.75 1.043825\nName: 11562, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3553605187496855, std values: 4.985498580009975, min values: 2.2622e-06, max values: 41.416, median values: 0.18592, and quantile values: 0.25 0.058827\n0.50 0.185920\n0.75 0.734825\nName: 11563, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2475087752109433, std values: 4.841354289851762, min values: 2.7887e-07, max values: 41.43, median values: 0.15804, and quantile values: 0.25 0.038493\n0.50 0.158040\n0.75 0.654730\nName: 11564, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6247303132515722, std values: 4.9988019720248005, min values: 1.2085e-06, max values: 40.482, median values: 0.27932, and quantile values: 0.25 0.078252\n0.50 0.279320\n0.75 1.053150\nName: 11565, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5806197320072328, std values: 5.01272615019317, min values: 3.0295e-07, max values: 41.369, median values: 0.22655, and quantile values: 0.25 0.065144\n0.50 0.226550\n0.75 1.056100\nName: 11566, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8207368188201256, std values: 5.166734603269318, min values: 6.2174e-06, max values: 40.859, median values: 0.3063, and quantile values: 0.25 0.083376\n0.50 0.306300\n0.75 1.189850\nName: 11567, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5515279816867926, std values: 5.009580716855926, min values: 1.8191e-06, max values: 40.784, median values: 0.24574, and quantile values: 0.25 0.073232\n0.50 0.245740\n0.75 0.950475\nName: 11568, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3354945817727046, std values: 5.052575531117535, min values: 6.0606e-07, max values: 42.755, median values: 0.16883, and quantile values: 0.25 0.047610\n0.50 0.168830\n0.75 0.716315\nName: 11569, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7124757782566036, std values: 5.234036733762809, min values: 1.704e-06, max values: 43.728, median values: 0.29427, and quantile values: 0.25 0.079363\n0.50 0.294270\n0.75 1.172300\nName: 11570, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5028764143661004, std values: 4.7444551900955005, min values: 9.6371e-07, max values: 38.086, median values: 0.23517, and quantile values: 0.25 0.066722\n0.50 0.235170\n0.75 0.939655\nName: 11571, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3843866891934529, std values: 4.900656157997422, min values: 5.5039e-08, max values: 41.852, median values: 0.18837, and quantile values: 0.25 0.039786\n0.50 0.188370\n0.75 0.728860\nName: 11572, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4327878340968556, std values: 4.596016538278763, min values: 1.3012e-06, max values: 37.675, median values: 0.21976, and quantile values: 0.25 0.064763\n0.50 0.219760\n0.75 0.878955\nName: 11573, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4866409006257861, std values: 5.012582883903738, min values: 1.5943e-06, max values: 41.0, median values: 0.2135, and quantile values: 0.25 0.05796\n0.50 0.21350\n0.75 0.87595\nName: 11574, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9597309726314467, std values: 5.4484976566981675, min values: 6.2684e-06, max values: 42.781, median values: 0.35893, and quantile values: 0.25 0.11644\n0.50 0.35893\n0.75 1.27790\nName: 11575, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4873802015597484, std values: 5.366655158036041, min values: 1.3934e-06, max values: 47.736, median values: 0.21551, and quantile values: 0.25 0.059282\n0.50 0.215510\n0.75 0.871910\nName: 11576, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3779883373493707, std values: 4.81123841736613, min values: 3.473e-08, max values: 39.707, median values: 0.19084, and quantile values: 0.25 0.045300\n0.50 0.190840\n0.75 0.768305\nName: 11577, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3071892570983648, std values: 4.798878925960598, min values: 5.1234e-07, max values: 38.715, median values: 0.16893, and quantile values: 0.25 0.049112\n0.50 0.168930\n0.75 0.708295\nName: 11578, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4150575189830188, std values: 4.916085939574904, min values: 4.2517e-06, max values: 40.184, median values: 0.18505, and quantile values: 0.25 0.057505\n0.50 0.185050\n0.75 0.743840\nName: 11579, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.478278984491824, std values: 4.6743987633080994, min values: 0.0, max values: 38.401, median values: 0.21598, and quantile values: 0.25 0.055655\n0.50 0.215980\n0.75 0.907975\nName: 11580, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3447477915491823, std values: 4.806176990686643, min values: 6.5302e-07, max values: 38.934, median values: 0.18903, and quantile values: 0.25 0.055221\n0.50 0.189030\n0.75 0.748425\nName: 11581, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4213262844677357, std values: 4.776112744481863, min values: 7.4257e-07, max values: 37.906, median values: 0.23394, and quantile values: 0.25 0.065702\n0.50 0.233940\n0.75 0.843385\nName: 11582, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5743188647251571, std values: 4.987372006754018, min values: 5.7281e-06, max values: 40.264, median values: 0.25161, and quantile values: 0.25 0.075671\n0.50 0.251610\n0.75 0.877150\nName: 11583, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6146948606562894, std values: 5.119837080201345, min values: 5.6025e-07, max values: 42.663, median values: 0.25473, and quantile values: 0.25 0.059509\n0.50 0.254730\n0.75 1.036290\nName: 11584, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3976158496338364, std values: 4.620331328786891, min values: 7.2998e-07, max values: 37.654, median values: 0.22374, and quantile values: 0.25 0.062907\n0.50 0.223740\n0.75 0.840535\nName: 11585, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9455111142427672, std values: 5.6260844341185425, min values: 2.3272e-06, max values: 48.834, median values: 0.33033, and quantile values: 0.25 0.089583\n0.50 0.330330\n0.75 1.385850\nName: 11586, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3041407376761005, std values: 4.816673785562907, min values: 1.013e-06, max values: 38.818, median values: 0.16061, and quantile values: 0.25 0.050626\n0.50 0.160610\n0.75 0.694280\nName: 11587, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.317466831028931, std values: 4.73914316669275, min values: 1.0786e-06, max values: 37.946, median values: 0.18884, and quantile values: 0.25 0.054374\n0.50 0.188840\n0.75 0.694105\nName: 11588, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9855969194452827, std values: 5.653027789734739, min values: 2.549e-06, max values: 48.443, median values: 0.36624, and quantile values: 0.25 0.083232\n0.50 0.366240\n0.75 1.372400\nName: 11589, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2593750612679244, std values: 4.663194572494004, min values: 1.171e-06, max values: 38.507, median values: 0.15745, and quantile values: 0.25 0.045834\n0.50 0.157450\n0.75 0.724690\nName: 11590, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5008798876761007, std values: 4.933483763957736, min values: 2.0836e-06, max values: 39.58, median values: 0.2417, and quantile values: 0.25 0.067747\n0.50 0.241700\n0.75 0.943040\nName: 11591, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.500625647546541, std values: 5.020258180406551, min values: 1.4877e-06, max values: 40.814, median values: 0.24079, and quantile values: 0.25 0.080529\n0.50 0.240790\n0.75 0.879240\nName: 11592, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4536774473012577, std values: 5.1078714502795055, min values: 1.2758e-06, max values: 42.684, median values: 0.2088, and quantile values: 0.25 0.053351\n0.50 0.208800\n0.75 0.858805\nName: 11593, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5698759458199938, std values: 4.593135673821515, min values: 3.016e-08, max values: 36.015, median values: 0.25057, and quantile values: 0.25 0.052243\n0.50 0.250570\n0.75 1.032935\nName: 11594, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2376232303119497, std values: 4.704437107929546, min values: 1.0947e-06, max values: 37.763, median values: 0.15238, and quantile values: 0.25 0.041969\n0.50 0.152380\n0.75 0.676210\nName: 11595, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4961395515809937, std values: 4.919393582581271, min values: 3.3418e-08, max values: 41.174, median values: 0.22384, and quantile values: 0.25 0.044472\n0.50 0.223840\n0.75 0.959925\nName: 11596, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4723869061761008, std values: 5.028516336711122, min values: 4.496e-06, max values: 40.543, median values: 0.21963, and quantile values: 0.25 0.065232\n0.50 0.219630\n0.75 0.831880\nName: 11597, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5187183542572327, std values: 4.9328621054502415, min values: 7.1895e-06, max values: 41.926, median values: 0.22573, and quantile values: 0.25 0.068738\n0.50 0.225730\n0.75 0.883595\nName: 11598, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3431669088807296, std values: 4.608201757353754, min values: 1.3436e-08, max values: 37.781, median values: 0.17773, and quantile values: 0.25 0.038381\n0.50 0.177730\n0.75 0.814725\nName: 11599, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3812454052465413, std values: 4.80446876925525, min values: 2.1767e-06, max values: 39.036, median values: 0.2052, and quantile values: 0.25 0.063348\n0.50 0.205200\n0.75 0.835125\nName: 11600, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4774254851583648, std values: 5.1310356941188, min values: 6.6718e-07, max values: 44.328, median values: 0.21056, and quantile values: 0.25 0.062727\n0.50 0.210560\n0.75 0.854895\nName: 11601, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5353512627056607, std values: 5.079979842561066, min values: 6.259e-07, max values: 42.512, median values: 0.19466, and quantile values: 0.25 0.059922\n0.50 0.194660\n0.75 0.921460\nName: 11602, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2601447966450314, std values: 4.560152566041758, min values: 2.0101e-07, max values: 37.001, median values: 0.15784, and quantile values: 0.25 0.041532\n0.50 0.157840\n0.75 0.666230\nName: 11603, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1269880999477988, std values: 4.543187414117533, min values: 1.0556e-06, max values: 38.992, median values: 0.12374, and quantile values: 0.25 0.040555\n0.50 0.123740\n0.75 0.522895\nName: 11604, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4299617057698113, std values: 4.668278110162375, min values: 1.7763e-06, max values: 38.775, median values: 0.22996, and quantile values: 0.25 0.067998\n0.50 0.229960\n0.75 0.896155\nName: 11605, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4888707467589937, std values: 4.883952020477756, min values: 5.5988e-07, max values: 39.942, median values: 0.20748, and quantile values: 0.25 0.055441\n0.50 0.207480\n0.75 0.887515\nName: 11606, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5998623855842768, std values: 5.079114439970342, min values: 4.1027e-06, max values: 40.113, median values: 0.24334, and quantile values: 0.25 0.072342\n0.50 0.243340\n0.75 1.008030\nName: 11607, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.556767448728931, std values: 5.255382859238803, min values: 3.5892e-06, max values: 43.316, median values: 0.24929, and quantile values: 0.25 0.071823\n0.50 0.249290\n0.75 0.891935\nName: 11608, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3253911933389937, std values: 4.748068306644604, min values: 1.2621e-06, max values: 38.049, median values: 0.16725, and quantile values: 0.25 0.052605\n0.50 0.167250\n0.75 0.715350\nName: 11609, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5106091111067297, std values: 4.8343207310167235, min values: 8.1507e-07, max values: 38.165, median values: 0.261, and quantile values: 0.25 0.072490\n0.50 0.261000\n0.75 0.988075\nName: 11610, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4512518505025158, std values: 4.87825765789036, min values: 1.6741e-06, max values: 39.853, median values: 0.22657, and quantile values: 0.25 0.05403\n0.50 0.22657\n0.75 0.97952\nName: 11611, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4048137686194968, std values: 4.768249144264648, min values: 1.6428e-06, max values: 38.206, median values: 0.21143, and quantile values: 0.25 0.061663\n0.50 0.211430\n0.75 0.797380\nName: 11612, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3370441819886791, std values: 4.889958881914393, min values: 2.5394e-06, max values: 39.329, median values: 0.19973, and quantile values: 0.25 0.058730\n0.50 0.199730\n0.75 0.731355\nName: 11613, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3773391068710692, std values: 4.841799943639854, min values: 1.4094e-06, max values: 39.19, median values: 0.18748, and quantile values: 0.25 0.059384\n0.50 0.187480\n0.75 0.771300\nName: 11614, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3279390904333335, std values: 5.030958774551879, min values: 1.0043e-06, max values: 43.463, median values: 0.15654, and quantile values: 0.25 0.052078\n0.50 0.156540\n0.75 0.673565\nName: 11615, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5598897001358487, std values: 5.056636895860583, min values: 2.1281e-06, max values: 40.441, median values: 0.24583, and quantile values: 0.25 0.06524\n0.50 0.24583\n0.75 0.95252\nName: 11616, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3961221208050314, std values: 4.852198133723843, min values: 1.2989e-06, max values: 38.81, median values: 0.20842, and quantile values: 0.25 0.058696\n0.50 0.208420\n0.75 0.786285\nName: 11617, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.423352357328302, std values: 5.047933243860757, min values: 3.6787e-06, max values: 40.613, median values: 0.21543, and quantile values: 0.25 0.066536\n0.50 0.215430\n0.75 0.767230\nName: 11618, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5593139431157232, std values: 4.912416996743425, min values: 3.202e-06, max values: 40.237, median values: 0.25336, and quantile values: 0.25 0.079368\n0.50 0.253360\n0.75 0.932370\nName: 11619, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4712084832383647, std values: 5.312684833042581, min values: 2.2072e-06, max values: 46.559, median values: 0.21108, and quantile values: 0.25 0.050458\n0.50 0.211080\n0.75 0.847620\nName: 11620, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5390227195056603, std values: 4.857154435263293, min values: 1.1464e-06, max values: 38.385, median values: 0.22606, and quantile values: 0.25 0.070012\n0.50 0.226060\n0.75 0.925945\nName: 11621, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.29688231931717, std values: 4.672725250297245, min values: 4.4673e-07, max values: 37.126, median values: 0.1402, and quantile values: 0.25 0.046976\n0.50 0.140200\n0.75 0.707480\nName: 11622, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6914334778484275, std values: 5.232517468720845, min values: 6.1276e-06, max values: 40.865, median values: 0.28139, and quantile values: 0.25 0.080805\n0.50 0.281390\n0.75 1.064000\nName: 11623, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4362909291334718, std values: 4.9795927995084925, min values: 5.2502e-08, max values: 42.542, median values: 0.18613, and quantile values: 0.25 0.048274\n0.50 0.186130\n0.75 0.868260\nName: 11624, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4601467387050313, std values: 4.949667754458013, min values: 2.3948e-06, max values: 39.964, median values: 0.24337, and quantile values: 0.25 0.059204\n0.50 0.243370\n0.75 0.927995\nName: 11625, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5211554857343397, std values: 4.902304343019435, min values: 6.1216e-07, max values: 39.173, median values: 0.25802, and quantile values: 0.25 0.065959\n0.50 0.258020\n0.75 0.953555\nName: 11626, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4459447888540253, std values: 4.925715811675313, min values: 7.7279e-07, max values: 40.749, median values: 0.22117, and quantile values: 0.25 0.052542\n0.50 0.221170\n0.75 0.829925\nName: 11627, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.837257765202516, std values: 5.356999933465159, min values: 4.7217e-06, max values: 43.219, median values: 0.31609, and quantile values: 0.25 0.097995\n0.50 0.316090\n0.75 1.189100\nName: 11628, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3985747429924529, std values: 4.85864166824907, min values: 1.145e-06, max values: 39.124, median values: 0.19045, and quantile values: 0.25 0.061403\n0.50 0.190450\n0.75 0.812520\nName: 11629, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.691114337052201, std values: 5.222635829203105, min values: 2.2936e-06, max values: 42.852, median values: 0.26936, and quantile values: 0.25 0.083241\n0.50 0.269360\n0.75 1.093700\nName: 11630, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4287866318144653, std values: 4.875056218483177, min values: 1.5516e-06, max values: 39.039, median values: 0.21558, and quantile values: 0.25 0.063232\n0.50 0.215580\n0.75 0.846200\nName: 11631, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4126011125050313, std values: 4.5124683877086555, min values: 2.0271e-06, max values: 38.742, median values: 0.25278, and quantile values: 0.25 0.067120\n0.50 0.252780\n0.75 0.857665\nName: 11632, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2821278715099371, std values: 4.723105894024311, min values: 7.5348e-07, max values: 37.825, median values: 0.16217, and quantile values: 0.25 0.047991\n0.50 0.162170\n0.75 0.705370\nName: 11633, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4249699708691823, std values: 4.656835473246592, min values: 1.3934e-06, max values: 38.639, median values: 0.21124, and quantile values: 0.25 0.064983\n0.50 0.211240\n0.75 0.913720\nName: 11634, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7506275012867292, std values: 5.1673816622416044, min values: 2.1849e-07, max values: 44.027, median values: 0.26182, and quantile values: 0.25 0.069303\n0.50 0.261820\n0.75 1.104300\nName: 11635, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7217311261163522, std values: 5.129956212174977, min values: 2.181e-06, max values: 41.176, median values: 0.31545, and quantile values: 0.25 0.081463\n0.50 0.315450\n0.75 1.188500\nName: 11636, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5535308433811323, std values: 4.985967064381865, min values: 3.2871e-06, max values: 40.572, median values: 0.25529, and quantile values: 0.25 0.070869\n0.50 0.255290\n0.75 0.905065\nName: 11637, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7451470930245283, std values: 5.051661202526192, min values: 1.4511e-06, max values: 39.024, median values: 0.3064, and quantile values: 0.25 0.096193\n0.50 0.306400\n0.75 1.203950\nName: 11638, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6746959188051571, std values: 5.280767594703039, min values: 9.782e-08, max values: 46.338, median values: 0.26447, and quantile values: 0.25 0.068187\n0.50 0.264470\n0.75 1.139550\nName: 11639, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.447396125763522, std values: 4.908765958747471, min values: 3.8448e-06, max values: 40.245, median values: 0.22762, and quantile values: 0.25 0.069525\n0.50 0.227620\n0.75 0.785590\nName: 11640, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5260026798899369, std values: 4.922282967326885, min values: 1.1346e-06, max values: 39.336, median values: 0.25555, and quantile values: 0.25 0.061923\n0.50 0.255550\n0.75 0.957860\nName: 11641, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6256354488503144, std values: 5.068663895906231, min values: 9.699e-07, max values: 41.087, median values: 0.26445, and quantile values: 0.25 0.076312\n0.50 0.264450\n0.75 0.959825\nName: 11642, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.691571366427044, std values: 5.013927029398025, min values: 3.9052e-06, max values: 39.785, median values: 0.27274, and quantile values: 0.25 0.083994\n0.50 0.272740\n0.75 1.151700\nName: 11643, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3968951566366037, std values: 4.677895341630177, min values: 2.7072e-07, max values: 37.665, median values: 0.22297, and quantile values: 0.25 0.053104\n0.50 0.222970\n0.75 0.851030\nName: 11644, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6720289547705034, std values: 5.063515530135067, min values: 9.3761e-07, max values: 40.86, median values: 0.30764, and quantile values: 0.25 0.069391\n0.50 0.307640\n0.75 1.174500\nName: 11645, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6434061808421383, std values: 5.228229700836006, min values: 1.7503e-06, max values: 44.178, median values: 0.27375, and quantile values: 0.25 0.070843\n0.50 0.273750\n0.75 1.040200\nName: 11646, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5604550558207924, std values: 4.977290526570257, min values: 1.6906e-08, max values: 40.233, median values: 0.24357, and quantile values: 0.25 0.061523\n0.50 0.243570\n0.75 1.000680\nName: 11647, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7568087353811321, std values: 5.140266271692905, min values: 5.6314e-06, max values: 40.902, median values: 0.28366, and quantile values: 0.25 0.087913\n0.50 0.283660\n0.75 1.119500\nName: 11648, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3656204308079434, std values: 4.68753559623049, min values: 1.5963e-08, max values: 37.294, median values: 0.17391, and quantile values: 0.25 0.050622\n0.50 0.173910\n0.75 0.822480\nName: 11649, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5662674142874216, std values: 4.894534626618973, min values: 1.2946e-06, max values: 38.566, median values: 0.26258, and quantile values: 0.25 0.07175\n0.50 0.26258\n0.75 1.03595\nName: 11650, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6046712507515724, std values: 5.049365012234899, min values: 1.499e-06, max values: 41.01, median values: 0.25199, and quantile values: 0.25 0.069531\n0.50 0.251990\n0.75 1.055400\nName: 11651, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4945164123768555, std values: 4.771269843757349, min values: 2.4892e-07, max values: 37.642, median values: 0.20467, and quantile values: 0.25 0.062106\n0.50 0.204670\n0.75 0.974405\nName: 11652, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.503963491974214, std values: 4.958859996958457, min values: 2.9938e-06, max values: 39.426, median values: 0.2292, and quantile values: 0.25 0.065383\n0.50 0.229200\n0.75 0.933955\nName: 11653, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.845453762983648, std values: 5.305205196635086, min values: 6.8864e-06, max values: 40.873, median values: 0.31247, and quantile values: 0.25 0.10219\n0.50 0.31247\n0.75 1.14685\nName: 11654, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3182383156981132, std values: 4.966418538945439, min values: 1.4606e-06, max values: 40.499, median values: 0.16386, and quantile values: 0.25 0.052104\n0.50 0.163860\n0.75 0.716040\nName: 11655, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5789096487233965, std values: 4.945438540527061, min values: 2.7792e-07, max values: 40.045, median values: 0.2494, and quantile values: 0.25 0.063116\n0.50 0.249400\n0.75 1.034750\nName: 11656, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.469934858410692, std values: 5.2223709046806075, min values: 2.5096e-06, max values: 44.812, median values: 0.21061, and quantile values: 0.25 0.064976\n0.50 0.210610\n0.75 0.846390\nName: 11657, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.428577975727044, std values: 4.754450573545832, min values: 2.147e-06, max values: 39.266, median values: 0.21112, and quantile values: 0.25 0.066915\n0.50 0.211120\n0.75 0.905955\nName: 11658, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5336489436473837, std values: 4.996514841400804, min values: 7.1424e-08, max values: 42.152, median values: 0.20777, and quantile values: 0.25 0.053963\n0.50 0.207770\n0.75 0.987425\nName: 11659, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4839654770056603, std values: 4.9618735601652375, min values: 4.1619e-06, max values: 40.702, median values: 0.24339, and quantile values: 0.25 0.073335\n0.50 0.243390\n0.75 0.814010\nName: 11660, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4164665927274591, std values: 5.240625212078544, min values: 1.6816e-08, max values: 47.765, median values: 0.20053, and quantile values: 0.25 0.046373\n0.50 0.200530\n0.75 0.815805\nName: 11661, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2471907004773586, std values: 4.744522381940643, min values: 2.4136e-06, max values: 39.787, median values: 0.17563, and quantile values: 0.25 0.050535\n0.50 0.175630\n0.75 0.588780\nName: 11662, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5134406613406288, std values: 4.983673661552803, min values: 5.9206e-07, max values: 41.422, median values: 0.24804, and quantile values: 0.25 0.063120\n0.50 0.248040\n0.75 0.967335\nName: 11663, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5942124844725785, std values: 5.0654414118525715, min values: 8.7504e-07, max values: 41.989, median values: 0.26246, and quantile values: 0.25 0.067555\n0.50 0.262460\n0.75 1.057350\nName: 11664, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4405970451870442, std values: 4.778096014580234, min values: 2.8545e-07, max values: 38.734, median values: 0.23188, and quantile values: 0.25 0.053782\n0.50 0.231880\n0.75 0.888275\nName: 11665, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.313022359250629, std values: 4.585166606941561, min values: 5.9535e-07, max values: 38.139, median values: 0.20151, and quantile values: 0.25 0.053547\n0.50 0.201510\n0.75 0.805975\nName: 11666, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2500248740194968, std values: 4.738201537888217, min values: 1.1441e-06, max values: 38.154, median values: 0.16736, and quantile values: 0.25 0.054141\n0.50 0.167360\n0.75 0.626535\nName: 11667, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4225487709896039, std values: 4.875459530999855, min values: 1.7247e-08, max values: 40.839, median values: 0.19227, and quantile values: 0.25 0.048783\n0.50 0.192270\n0.75 0.871505\nName: 11668, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5469699369081762, std values: 4.844759510976608, min values: 1.2583e-06, max values: 39.035, median values: 0.25609, and quantile values: 0.25 0.071216\n0.50 0.256090\n0.75 1.036495\nName: 11669, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3999328762885532, std values: 4.591128411944633, min values: 7.9408e-07, max values: 37.229, median values: 0.18918, and quantile values: 0.25 0.054509\n0.50 0.189180\n0.75 0.951350\nName: 11670, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.366552551793044, std values: 4.663245440422594, min values: 2.5894e-08, max values: 36.885, median values: 0.20187, and quantile values: 0.25 0.05599\n0.50 0.20187\n0.75 0.83700\nName: 11671, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4087731461622643, std values: 4.762046393029442, min values: 1.545e-07, max values: 38.492, median values: 0.20439, and quantile values: 0.25 0.054687\n0.50 0.204390\n0.75 0.803220\nName: 11672, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4804974082554714, std values: 5.071768336228463, min values: 9.6652e-07, max values: 43.545, median values: 0.23342, and quantile values: 0.25 0.070413\n0.50 0.233420\n0.75 0.887115\nName: 11673, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.439894260625786, std values: 5.221949398998602, min values: 2.6328e-06, max values: 44.034, median values: 0.20879, and quantile values: 0.25 0.062174\n0.50 0.208790\n0.75 0.810535\nName: 11674, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4642813766379497, std values: 4.813854319410358, min values: 3.9734e-08, max values: 38.748, median values: 0.20211, and quantile values: 0.25 0.053895\n0.50 0.202110\n0.75 0.986060\nName: 11675, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.285859856190516, std values: 4.636489822862747, min values: 2.4872e-08, max values: 37.76, median values: 0.15807, and quantile values: 0.25 0.036074\n0.50 0.158070\n0.75 0.638625\nName: 11676, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7848475085415094, std values: 5.13421598801569, min values: 5.4231e-06, max values: 40.351, median values: 0.33482, and quantile values: 0.25 0.095071\n0.50 0.334820\n0.75 1.263550\nName: 11677, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6339305525949683, std values: 5.045597667249208, min values: 7.645e-07, max values: 40.995, median values: 0.25482, and quantile values: 0.25 0.069884\n0.50 0.254820\n0.75 1.053100\nName: 11678, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5824517457037734, std values: 4.690473381454578, min values: 1.0326e-06, max values: 38.076, median values: 0.28859, and quantile values: 0.25 0.079806\n0.50 0.288590\n0.75 1.120400\nName: 11679, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4641420941616352, std values: 5.091443666763062, min values: 1.8621e-06, max values: 41.969, median values: 0.20331, and quantile values: 0.25 0.052704\n0.50 0.203310\n0.75 0.841620\nName: 11680, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5197640221155344, std values: 4.986276306872549, min values: 5.1887e-07, max values: 40.8, median values: 0.21515, and quantile values: 0.25 0.066051\n0.50 0.215150\n0.75 0.971145\nName: 11681, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5861546117924528, std values: 4.976916456110014, min values: 1.1652e-06, max values: 39.973, median values: 0.23755, and quantile values: 0.25 0.065874\n0.50 0.237550\n0.75 1.081650\nName: 11682, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3909607311143397, std values: 4.7871484301491005, min values: 7.5158e-07, max values: 38.901, median values: 0.20874, and quantile values: 0.25 0.055007\n0.50 0.208740\n0.75 0.807100\nName: 11683, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4892773070584906, std values: 5.08272833627528, min values: 3.7585e-06, max values: 41.251, median values: 0.2155, and quantile values: 0.25 0.065570\n0.50 0.215500\n0.75 0.818095\nName: 11684, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6296307419061637, std values: 5.0556312236671594, min values: 3.4918e-07, max values: 41.763, median values: 0.26005, and quantile values: 0.25 0.071125\n0.50 0.260050\n0.75 1.086600\nName: 11685, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5874127639352202, std values: 5.049096728599249, min values: 4.6572e-06, max values: 40.535, median values: 0.2416, and quantile values: 0.25 0.070891\n0.50 0.241600\n0.75 0.937200\nName: 11686, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.679959875463522, std values: 5.468712052020565, min values: 4.8148e-06, max values: 45.925, median values: 0.28466, and quantile values: 0.25 0.076946\n0.50 0.284660\n0.75 0.986900\nName: 11687, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3574893314454088, std values: 4.7334548489482575, min values: 1.8452e-07, max values: 38.026, median values: 0.17144, and quantile values: 0.25 0.04560\n0.50 0.17144\n0.75 0.71113\nName: 11688, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.150724815193459, std values: 4.630329579181114, min values: 1.4025e-07, max values: 37.67, median values: 0.13716, and quantile values: 0.25 0.032020\n0.50 0.137160\n0.75 0.511935\nName: 11689, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4744026600086793, std values: 4.772469871338602, min values: 1.1038e-07, max values: 37.643, median values: 0.20398, and quantile values: 0.25 0.052905\n0.50 0.203980\n0.75 0.897550\nName: 11690, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4128779353088048, std values: 4.86514707018265, min values: 2.6164e-06, max values: 39.306, median values: 0.20985, and quantile values: 0.25 0.061455\n0.50 0.209850\n0.75 0.822775\nName: 11691, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4148837283214464, std values: 4.810791611394218, min values: 5.0121e-07, max values: 39.36, median values: 0.17863, and quantile values: 0.25 0.061666\n0.50 0.178630\n0.75 0.802070\nName: 11692, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6085026977710692, std values: 4.910865278479904, min values: 1.8119e-06, max values: 38.385, median values: 0.24158, and quantile values: 0.25 0.078508\n0.50 0.241580\n0.75 1.072000\nName: 11693, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5201353070977672, std values: 5.24880183826648, min values: 2.0545e-08, max values: 46.899, median values: 0.21529, and quantile values: 0.25 0.061291\n0.50 0.215290\n0.75 0.907490\nName: 11694, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4654041675842766, std values: 4.699441172865666, min values: 1.0847e-06, max values: 37.841, median values: 0.23975, and quantile values: 0.25 0.074187\n0.50 0.239750\n0.75 0.895625\nName: 11695, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2260724049266039, std values: 4.752445705055111, min values: 2.2193e-07, max values: 39.439, median values: 0.14158, and quantile values: 0.25 0.044706\n0.50 0.141580\n0.75 0.640440\nName: 11696, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3306859460509435, std values: 4.911939681066709, min values: 1.2876e-06, max values: 40.292, median values: 0.17909, and quantile values: 0.25 0.053243\n0.50 0.179090\n0.75 0.725720\nName: 11697, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.335018337684717, std values: 4.686176793059708, min values: 2.492e-07, max values: 37.461, median values: 0.19194, and quantile values: 0.25 0.054467\n0.50 0.191940\n0.75 0.762660\nName: 11698, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.602823811342195, std values: 4.914952818370449, min values: 3.1489e-08, max values: 39.616, median values: 0.23988, and quantile values: 0.25 0.057826\n0.50 0.239880\n0.75 1.154500\nName: 11699, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4197519634736477, std values: 4.7117343226988195, min values: 2.8021e-07, max values: 37.135, median values: 0.21074, and quantile values: 0.25 0.055176\n0.50 0.210740\n0.75 0.849265\nName: 11700, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.449467405863396, std values: 4.887704054870659, min values: 6.2218e-07, max values: 40.057, median values: 0.19304, and quantile values: 0.25 0.057879\n0.50 0.193040\n0.75 0.858525\nName: 11701, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.431477761790566, std values: 4.606297807018391, min values: 2.2797e-06, max values: 39.311, median values: 0.22374, and quantile values: 0.25 0.064109\n0.50 0.223740\n0.75 0.869220\nName: 11702, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.405907280908176, std values: 4.717699268347764, min values: 3.6066e-06, max values: 40.802, median values: 0.218, and quantile values: 0.25 0.060727\n0.50 0.218000\n0.75 0.803180\nName: 11703, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4689525721417611, std values: 4.982479583025093, min values: 7.9034e-07, max values: 41.848, median values: 0.21335, and quantile values: 0.25 0.066517\n0.50 0.213350\n0.75 0.879160\nName: 11704, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.504331538818868, std values: 4.855134569871909, min values: 1.0979e-06, max values: 38.681, median values: 0.20206, and quantile values: 0.25 0.055757\n0.50 0.202060\n0.75 0.926810\nName: 11705, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3077696898431572, std values: 4.6443572509837265, min values: 9.7732e-08, max values: 37.54, median values: 0.16219, and quantile values: 0.25 0.037076\n0.50 0.162190\n0.75 0.663500\nName: 11706, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5025561259042137, std values: 4.8780303332907975, min values: 4.7787e-07, max values: 39.578, median values: 0.23927, and quantile values: 0.25 0.058368\n0.50 0.239270\n0.75 0.916760\nName: 11707, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.437258732064717, std values: 4.7020371205709965, min values: 0.0, max values: 37.796, median values: 0.23992, and quantile values: 0.25 0.063032\n0.50 0.239920\n0.75 0.936470\nName: 11708, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4824752174996476, std values: 5.029307918471852, min values: 1.7814e-08, max values: 43.688, median values: 0.18744, and quantile values: 0.25 0.041160\n0.50 0.187440\n0.75 0.835675\nName: 11709, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3344184906232706, std values: 4.678900463812408, min values: 1.0658e-06, max values: 38.847, median values: 0.20838, and quantile values: 0.25 0.053388\n0.50 0.208380\n0.75 0.750925\nName: 11710, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3885301030444026, std values: 4.819510287330645, min values: 8.8366e-07, max values: 38.775, median values: 0.1837, and quantile values: 0.25 0.060699\n0.50 0.183700\n0.75 0.757895\nName: 11711, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.321266522671698, std values: 4.935571812388453, min values: 2.6333e-06, max values: 40.13, median values: 0.1805, and quantile values: 0.25 0.052772\n0.50 0.180500\n0.75 0.701840\nName: 11712, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.311725934504717, std values: 4.640057345031821, min values: 2.9947e-07, max values: 36.922, median values: 0.17414, and quantile values: 0.25 0.054715\n0.50 0.174140\n0.75 0.742790\nName: 11713, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5586436629905662, std values: 5.189298244954909, min values: 2.2156e-06, max values: 43.551, median values: 0.22652, and quantile values: 0.25 0.066178\n0.50 0.226520\n0.75 1.005675\nName: 11714, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3595699204709624, std values: 4.755004774819569, min values: 4.8293e-08, max values: 39.032, median values: 0.20718, and quantile values: 0.25 0.050609\n0.50 0.207180\n0.75 0.762600\nName: 11715, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.692761772800629, std values: 5.090882658391988, min values: 1.0615e-06, max values: 41.023, median values: 0.2817, and quantile values: 0.25 0.077553\n0.50 0.281700\n0.75 1.145800\nName: 11716, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.509737186980629, std values: 4.9041773163658995, min values: 7.8902e-07, max values: 39.061, median values: 0.2519, and quantile values: 0.25 0.062541\n0.50 0.251900\n0.75 0.919295\nName: 11717, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4668860094732075, std values: 4.958493916745076, min values: 3.2594e-07, max values: 40.979, median values: 0.2194, and quantile values: 0.25 0.058895\n0.50 0.219400\n0.75 0.858595\nName: 11718, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.52470283283522, std values: 4.9245509769439195, min values: 1.5388e-06, max values: 39.311, median values: 0.2368, and quantile values: 0.25 0.06788\n0.50 0.23680\n0.75 1.01085\nName: 11719, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5351680857314465, std values: 4.885478922814157, min values: 3.7423e-06, max values: 39.83, median values: 0.27324, and quantile values: 0.25 0.069622\n0.50 0.273240\n0.75 0.944790\nName: 11720, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2492819113456606, std values: 4.650528349423118, min values: 4.4326e-07, max values: 37.952, median values: 0.144, and quantile values: 0.25 0.048328\n0.50 0.144000\n0.75 0.611965\nName: 11721, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3820136837421384, std values: 4.834285486580603, min values: 1.5952e-06, max values: 39.984, median values: 0.20517, and quantile values: 0.25 0.058462\n0.50 0.205170\n0.75 0.789560\nName: 11722, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2629958148628928, std values: 4.4456572186308465, min values: 2.0236e-06, max values: 38.72, median values: 0.18242, and quantile values: 0.25 0.055451\n0.50 0.182420\n0.75 0.691015\nName: 11723, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.569282311745283, std values: 5.141357673669039, min values: 2.3926e-06, max values: 42.149, median values: 0.24967, and quantile values: 0.25 0.067804\n0.50 0.249670\n0.75 0.944220\nName: 11724, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4208723265154088, std values: 5.0293037424664, min values: 9.1505e-07, max values: 42.881, median values: 0.18233, and quantile values: 0.25 0.055493\n0.50 0.182330\n0.75 0.761130\nName: 11725, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5837410727647798, std values: 5.036030678695394, min values: 2.0324e-06, max values: 40.838, median values: 0.24563, and quantile values: 0.25 0.064908\n0.50 0.245630\n0.75 1.015250\nName: 11726, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3859104420201258, std values: 4.710396145001615, min values: 1.1649e-06, max values: 38.622, median values: 0.18563, and quantile values: 0.25 0.059525\n0.50 0.185630\n0.75 0.798585\nName: 11727, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5703456533056603, std values: 4.941051246255556, min values: 1.5757e-06, max values: 39.042, median values: 0.24165, and quantile values: 0.25 0.069443\n0.50 0.241650\n0.75 1.044900\nName: 11728, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5899303465035846, std values: 4.863753314965473, min values: 7.6767e-07, max values: 37.878, median values: 0.24451, and quantile values: 0.25 0.06205\n0.50 0.24451\n0.75 1.05835\nName: 11729, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.366925261616352, std values: 5.0745877846770595, min values: 1.1041e-06, max values: 43.785, median values: 0.1788, and quantile values: 0.25 0.054025\n0.50 0.178800\n0.75 0.742480\nName: 11730, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6051035878446538, std values: 5.082640567911343, min values: 1.2742e-06, max values: 41.607, median values: 0.27248, and quantile values: 0.25 0.072546\n0.50 0.272480\n0.75 1.002330\nName: 11731, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.547425325189937, std values: 4.841242427361691, min values: 3.4808e-06, max values: 39.9, median values: 0.25068, and quantile values: 0.25 0.063714\n0.50 0.250680\n0.75 0.959320\nName: 11732, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7871801698081762, std values: 5.223918028426883, min values: 1.3696e-06, max values: 42.995, median values: 0.31388, and quantile values: 0.25 0.090856\n0.50 0.313880\n0.75 1.197750\nName: 11733, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.412173291271629, std values: 4.931954025572168, min values: 2.2179e-08, max values: 42.362, median values: 0.19762, and quantile values: 0.25 0.047953\n0.50 0.197620\n0.75 0.794475\nName: 11734, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3262378739880503, std values: 4.670870722948788, min values: 1.4123e-06, max values: 38.358, median values: 0.20329, and quantile values: 0.25 0.058631\n0.50 0.203290\n0.75 0.796590\nName: 11735, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4322542749962262, std values: 4.96366709668325, min values: 4.2628e-06, max values: 40.627, median values: 0.20819, and quantile values: 0.25 0.062541\n0.50 0.208190\n0.75 0.752395\nName: 11736, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5407108171905661, std values: 5.114640208754921, min values: 3.5472e-06, max values: 40.905, median values: 0.24516, and quantile values: 0.25 0.063068\n0.50 0.245160\n0.75 0.896580\nName: 11737, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4980658098849056, std values: 4.972370799842881, min values: 3.6047e-06, max values: 40.598, median values: 0.2497, and quantile values: 0.25 0.080655\n0.50 0.249700\n0.75 0.817035\nName: 11738, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8880634849792455, std values: 5.349473657666332, min values: 1.6741e-06, max values: 44.382, median values: 0.35831, and quantile values: 0.25 0.079044\n0.50 0.358310\n0.75 1.384050\nName: 11739, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6966325226402514, std values: 4.981834835338473, min values: 3.0303e-06, max values: 40.136, median values: 0.29223, and quantile values: 0.25 0.08156\n0.50 0.29223\n0.75 1.19840\nName: 11740, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.453557442059937, std values: 4.968738046054741, min values: 7.2333e-07, max values: 41.382, median values: 0.21049, and quantile values: 0.25 0.055801\n0.50 0.210490\n0.75 0.794945\nName: 11741, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5946921886377357, std values: 5.151586375120467, min values: 4.5383e-06, max values: 40.902, median values: 0.24231, and quantile values: 0.25 0.076573\n0.50 0.242310\n0.75 0.928165\nName: 11742, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6811520310214465, std values: 5.286284230694123, min values: 9.9901e-07, max values: 45.333, median values: 0.26731, and quantile values: 0.25 0.069345\n0.50 0.267310\n0.75 1.138400\nName: 11743, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5930068425122015, std values: 5.056512842405743, min values: 1.1394e-07, max values: 42.734, median values: 0.26825, and quantile values: 0.25 0.061455\n0.50 0.268250\n0.75 1.050800\nName: 11744, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4345994110163522, std values: 4.891022109227394, min values: 5.274e-06, max values: 40.409, median values: 0.21916, and quantile values: 0.25 0.060114\n0.50 0.219160\n0.75 0.796425\nName: 11745, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5327422216861637, std values: 4.9661499009602865, min values: 2.8581e-06, max values: 39.489, median values: 0.23509, and quantile values: 0.25 0.070009\n0.50 0.235090\n0.75 0.930055\nName: 11746, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4492746875698113, std values: 4.936442188867891, min values: 2.8849e-06, max values: 39.731, median values: 0.23285, and quantile values: 0.25 0.068802\n0.50 0.232850\n0.75 0.796065\nName: 11747, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5722896583974844, std values: 5.048300137148825, min values: 2.0029e-06, max values: 40.603, median values: 0.25655, and quantile values: 0.25 0.065745\n0.50 0.256550\n0.75 0.994575\nName: 11748, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5452202249572327, std values: 4.771119084684431, min values: 3.663e-06, max values: 40.457, median values: 0.27478, and quantile values: 0.25 0.071860\n0.50 0.274780\n0.75 0.925455\nName: 11749, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4567629450867923, std values: 4.937357504667543, min values: 1.0175e-06, max values: 40.247, median values: 0.18586, and quantile values: 0.25 0.052897\n0.50 0.185860\n0.75 0.847050\nName: 11750, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.283371046055283, std values: 4.427611997394927, min values: 2.4299e-07, max values: 37.544, median values: 0.18659, and quantile values: 0.25 0.049331\n0.50 0.186590\n0.75 0.758285\nName: 11751, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3760783731656605, std values: 4.714390237596208, min values: 2.0154e-07, max values: 37.884, median values: 0.20118, and quantile values: 0.25 0.05860\n0.50 0.20118\n0.75 0.80888\nName: 11752, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.51781050474, std values: 4.966088986034317, min values: 4.7696e-07, max values: 41.584, median values: 0.24497, and quantile values: 0.25 0.060531\n0.50 0.244970\n0.75 0.912455\nName: 11753, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.709260169372327, std values: 5.024757735795212, min values: 3.0455e-06, max values: 40.227, median values: 0.28803, and quantile values: 0.25 0.074879\n0.50 0.288030\n0.75 1.192300\nName: 11754, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4637578050295599, std values: 5.061327953731718, min values: 1.068e-06, max values: 42.287, median values: 0.20447, and quantile values: 0.25 0.054823\n0.50 0.204470\n0.75 0.849865\nName: 11755, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6666044307742136, std values: 4.774042971675792, min values: 2.2906e-06, max values: 38.715, median values: 0.31511, and quantile values: 0.25 0.089954\n0.50 0.315110\n0.75 1.152100\nName: 11756, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4323617786761005, std values: 4.911838001023958, min values: 2.53e-07, max values: 39.953, median values: 0.19486, and quantile values: 0.25 0.05054\n0.50 0.19486\n0.75 0.85395\nName: 11757, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.396592133357673, std values: 4.810175324393167, min values: 4.3307e-07, max values: 39.209, median values: 0.20087, and quantile values: 0.25 0.059613\n0.50 0.200870\n0.75 0.835465\nName: 11758, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5623023178031445, std values: 4.956709271780692, min values: 1.0624e-06, max values: 39.58, median values: 0.26706, and quantile values: 0.25 0.076901\n0.50 0.267060\n0.75 0.961550\nName: 11759, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5516029218412515, std values: 5.029062592871047, min values: 2.4959e-08, max values: 41.754, median values: 0.21501, and quantile values: 0.25 0.058630\n0.50 0.215010\n0.75 0.922465\nName: 11760, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.270677312856459, std values: 4.73952743382346, min values: 6.0015e-08, max values: 39.882, median values: 0.13098, and quantile values: 0.25 0.029634\n0.50 0.130980\n0.75 0.578315\nName: 11761, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7096501169842768, std values: 5.181455365360882, min values: 2.4591e-06, max values: 41.354, median values: 0.28241, and quantile values: 0.25 0.081633\n0.50 0.282410\n0.75 1.140000\nName: 11762, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4630282590037738, std values: 5.499227807130429, min values: 4.3247e-06, max values: 47.876, median values: 0.21109, and quantile values: 0.25 0.046534\n0.50 0.211090\n0.75 0.707105\nName: 11763, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1725971463374845, std values: 4.543699535228662, min values: 9.1226e-07, max values: 38.692, median values: 0.13143, and quantile values: 0.25 0.042535\n0.50 0.131430\n0.75 0.589250\nName: 11764, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5204734242685534, std values: 4.885186791875557, min values: 2.6876e-06, max values: 39.338, median values: 0.2547, and quantile values: 0.25 0.067423\n0.50 0.254700\n0.75 1.022740\nName: 11765, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5927252854232705, std values: 4.866869729449516, min values: 5.5951e-06, max values: 40.832, median values: 0.29438, and quantile values: 0.25 0.080711\n0.50 0.294380\n0.75 0.939545\nName: 11766, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.230170523783648, std values: 4.798767515313411, min values: 1.0512e-06, max values: 39.077, median values: 0.14604, and quantile values: 0.25 0.048662\n0.50 0.146040\n0.75 0.605505\nName: 11767, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5149442274318239, std values: 4.77681980588224, min values: 7.0736e-07, max values: 37.533, median values: 0.25867, and quantile values: 0.25 0.066814\n0.50 0.258670\n0.75 0.980105\nName: 11768, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3969414132069182, std values: 5.07832245564564, min values: 1.8187e-06, max values: 43.149, median values: 0.22225, and quantile values: 0.25 0.059960\n0.50 0.222250\n0.75 0.790835\nName: 11769, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5882753364163522, std values: 5.018510649274239, min values: 3.9419e-06, max values: 40.261, median values: 0.26368, and quantile values: 0.25 0.073404\n0.50 0.263680\n0.75 0.997730\nName: 11770, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5469057338603773, std values: 5.135508924313964, min values: 4.2845e-06, max values: 40.829, median values: 0.23555, and quantile values: 0.25 0.068629\n0.50 0.235550\n0.75 0.904835\nName: 11771, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3688329801326413, std values: 4.623887576975847, min values: 4.963e-07, max values: 36.612, median values: 0.12023, and quantile values: 0.25 0.026391\n0.50 0.120230\n0.75 0.773785\nName: 11772, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5482274852308178, std values: 4.976495153308814, min values: 2.0853e-06, max values: 39.912, median values: 0.23413, and quantile values: 0.25 0.066272\n0.50 0.234130\n0.75 0.946240\nName: 11773, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4629354954874214, std values: 5.067654479946599, min values: 6.7616e-06, max values: 42.06, median values: 0.20046, and quantile values: 0.25 0.063731\n0.50 0.200460\n0.75 0.784470\nName: 11774, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.440619155489937, std values: 4.941045394390314, min values: 1.2888e-06, max values: 40.673, median values: 0.1872, and quantile values: 0.25 0.060075\n0.50 0.187200\n0.75 0.804165\nName: 11775, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.348465359480377, std values: 4.823252076462671, min values: 7.1038e-07, max values: 39.515, median values: 0.17864, and quantile values: 0.25 0.052599\n0.50 0.178640\n0.75 0.724685\nName: 11776, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5476403471679248, std values: 5.029100530574327, min values: 4.0224e-06, max values: 41.116, median values: 0.26884, and quantile values: 0.25 0.069948\n0.50 0.268840\n0.75 0.891450\nName: 11777, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.54321480462956, std values: 4.902260180605152, min values: 2.0464e-06, max values: 39.678, median values: 0.25236, and quantile values: 0.25 0.071956\n0.50 0.252360\n0.75 0.981725\nName: 11778, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3521560323010127, std values: 4.960375947365634, min values: 2.7961e-08, max values: 42.526, median values: 0.15548, and quantile values: 0.25 0.048083\n0.50 0.155480\n0.75 0.706280\nName: 11779, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4276440674471698, std values: 4.940013515785925, min values: 1.3777e-06, max values: 40.254, median values: 0.21611, and quantile values: 0.25 0.060177\n0.50 0.216110\n0.75 0.830590\nName: 11780, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3034066206949686, std values: 4.742483733520949, min values: 1.7771e-06, max values: 39.264, median values: 0.17971, and quantile values: 0.25 0.051161\n0.50 0.179710\n0.75 0.711350\nName: 11781, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4479644188471696, std values: 4.8572837264562745, min values: 1.2298e-06, max values: 38.894, median values: 0.21801, and quantile values: 0.25 0.060007\n0.50 0.218010\n0.75 0.865835\nName: 11782, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4412973725477987, std values: 4.930734367912975, min values: 1.1317e-06, max values: 39.584, median values: 0.19546, and quantile values: 0.25 0.062705\n0.50 0.195460\n0.75 0.849780\nName: 11783, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5794402375416352, std values: 5.087137920301657, min values: 7.0872e-07, max values: 43.067, median values: 0.27552, and quantile values: 0.25 0.075925\n0.50 0.275520\n0.75 0.993450\nName: 11784, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.414636827153019, std values: 4.834052049913369, min values: 5.3793e-07, max values: 38.807, median values: 0.18721, and quantile values: 0.25 0.054056\n0.50 0.187210\n0.75 0.781770\nName: 11785, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5525387071408805, std values: 5.010598009435275, min values: 1.3267e-06, max values: 41.343, median values: 0.237, and quantile values: 0.25 0.065421\n0.50 0.237000\n0.75 1.059000\nName: 11786, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7135401098685537, std values: 5.23127745429693, min values: 4.0746e-06, max values: 41.875, median values: 0.2918, and quantile values: 0.25 0.074089\n0.50 0.291800\n0.75 1.096100\nName: 11787, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1957887899272954, std values: 4.687532135188235, min values: 2.6184e-07, max values: 37.716, median values: 0.1369, and quantile values: 0.25 0.037179\n0.50 0.136900\n0.75 0.614070\nName: 11788, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5862002543301885, std values: 4.959314321476868, min values: 3.7918e-06, max values: 39.055, median values: 0.28874, and quantile values: 0.25 0.076524\n0.50 0.288740\n0.75 0.988565\nName: 11789, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3842774289253457, std values: 4.6256742162039135, min values: 3.1683e-07, max values: 37.125, median values: 0.19649, and quantile values: 0.25 0.051319\n0.50 0.196490\n0.75 0.786430\nName: 11790, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4420734457018867, std values: 5.01490841275474, min values: 2.9389e-06, max values: 40.865, median values: 0.21636, and quantile values: 0.25 0.06360\n0.50 0.21636\n0.75 0.79288\nName: 11791, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4439142442925597, std values: 4.501569889133518, min values: 2.7417e-08, max values: 36.545, median values: 0.23427, and quantile values: 0.25 0.067165\n0.50 0.234270\n0.75 0.950475\nName: 11792, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4662848887949684, std values: 5.156535357865502, min values: 2.524e-07, max values: 45.651, median values: 0.18138, and quantile values: 0.25 0.049723\n0.50 0.181380\n0.75 0.792495\nName: 11793, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4133563120930819, std values: 4.816252960320075, min values: 1.5986e-06, max values: 39.762, median values: 0.21443, and quantile values: 0.25 0.059982\n0.50 0.214430\n0.75 0.833150\nName: 11794, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5781159438998742, std values: 4.994921370799889, min values: 9.8838e-07, max values: 39.68, median values: 0.2488, and quantile values: 0.25 0.073411\n0.50 0.248800\n0.75 1.026500\nName: 11795, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2317750738361006, std values: 4.555221456580142, min values: 2.4973e-07, max values: 36.294, median values: 0.1708, and quantile values: 0.25 0.045267\n0.50 0.170800\n0.75 0.670680\nName: 11796, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.350960884895283, std values: 4.685708292489373, min values: 4.0155e-07, max values: 37.091, median values: 0.16133, and quantile values: 0.25 0.045741\n0.50 0.161330\n0.75 0.751010\nName: 11797, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.883178495320252, std values: 5.3612804098663425, min values: 5.9952e-07, max values: 45.263, median values: 0.31676, and quantile values: 0.25 0.078092\n0.50 0.316760\n0.75 1.323250\nName: 11798, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6090758618974843, std values: 4.924859604757769, min values: 1.348e-06, max values: 39.155, median values: 0.27023, and quantile values: 0.25 0.075056\n0.50 0.270230\n0.75 1.120300\nName: 11799, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6029267727754717, std values: 5.187489499277286, min values: 5.6878e-06, max values: 41.562, median values: 0.24642, and quantile values: 0.25 0.083021\n0.50 0.246420\n0.75 0.922440\nName: 11800, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2338877262716978, std values: 4.698674303129759, min values: 1.8387e-06, max values: 39.272, median values: 0.16513, and quantile values: 0.25 0.052948\n0.50 0.165130\n0.75 0.613730\nName: 11801, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3663607835657234, std values: 4.807461047279843, min values: 3.9515e-07, max values: 38.859, median values: 0.19034, and quantile values: 0.25 0.056195\n0.50 0.190340\n0.75 0.790950\nName: 11802, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5372157031619496, std values: 4.999000101842705, min values: 4.5265e-07, max values: 41.783, median values: 0.256, and quantile values: 0.25 0.065274\n0.50 0.256000\n0.75 0.969185\nName: 11803, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8367698770528302, std values: 5.261363824342453, min values: 3.5472e-06, max values: 41.531, median values: 0.34231, and quantile values: 0.25 0.10169\n0.50 0.34231\n0.75 1.25820\nName: 11804, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4326220394366667, std values: 5.064010568285519, min values: 8.9973e-07, max values: 42.837, median values: 0.19758, and quantile values: 0.25 0.048807\n0.50 0.197580\n0.75 0.783130\nName: 11805, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3911806283025157, std values: 4.712328004648059, min values: 1.4602e-06, max values: 39.288, median values: 0.19534, and quantile values: 0.25 0.05223\n0.50 0.19534\n0.75 0.89204\nName: 11806, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.353281916645956, std values: 4.77397795803258, min values: 1.9107e-08, max values: 38.973, median values: 0.17208, and quantile values: 0.25 0.048664\n0.50 0.172080\n0.75 0.827800\nName: 11807, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.314523133601258, std values: 4.701833028955746, min values: 7.169e-07, max values: 37.739, median values: 0.17773, and quantile values: 0.25 0.055493\n0.50 0.177730\n0.75 0.760925\nName: 11808, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4640342573710692, std values: 4.867417156405094, min values: 4.0994e-06, max values: 40.134, median values: 0.21438, and quantile values: 0.25 0.063313\n0.50 0.214380\n0.75 0.829855\nName: 11809, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5205620211113835, std values: 4.851016675783844, min values: 5.211e-08, max values: 38.708, median values: 0.22255, and quantile values: 0.25 0.059929\n0.50 0.222550\n0.75 0.925190\nName: 11810, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4154443973987423, std values: 4.7312145546992435, min values: 1.0546e-06, max values: 38.578, median values: 0.20201, and quantile values: 0.25 0.055787\n0.50 0.202010\n0.75 0.868660\nName: 11811, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4182519369163524, std values: 4.945216545531434, min values: 1.6995e-06, max values: 39.618, median values: 0.22995, and quantile values: 0.25 0.064008\n0.50 0.229950\n0.75 0.901580\nName: 11812, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6994002877421386, std values: 5.03198877515387, min values: 1.6616e-06, max values: 39.651, median values: 0.3087, and quantile values: 0.25 0.081851\n0.50 0.308700\n0.75 1.168250\nName: 11813, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3483470572497487, std values: 4.607249774455715, min values: 7.8611e-07, max values: 38.686, median values: 0.19253, and quantile values: 0.25 0.054606\n0.50 0.192530\n0.75 0.806655\nName: 11814, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7117432613279875, std values: 5.0389682352006115, min values: 4.1835e-07, max values: 40.879, median values: 0.31247, and quantile values: 0.25 0.070892\n0.50 0.312470\n0.75 1.204900\nName: 11815, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.334958396862893, std values: 4.810848396606772, min values: 6.673e-07, max values: 39.068, median values: 0.18322, and quantile values: 0.25 0.057133\n0.50 0.183220\n0.75 0.747540\nName: 11816, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.352947365876478, std values: 4.77610028322701, min values: 2.1232e-08, max values: 40.118, median values: 0.15275, and quantile values: 0.25 0.034371\n0.50 0.152750\n0.75 0.673700\nName: 11817, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.418153210062264, std values: 4.883493558508013, min values: 1.1406e-06, max values: 39.966, median values: 0.22097, and quantile values: 0.25 0.066011\n0.50 0.220970\n0.75 0.832760\nName: 11818, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2768772048047172, std values: 4.506012422482325, min values: 2.0623e-07, max values: 36.078, median values: 0.17127, and quantile values: 0.25 0.045700\n0.50 0.171270\n0.75 0.664595\nName: 11819, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4204713488031446, std values: 4.915473575555218, min values: 2.9775e-06, max values: 39.644, median values: 0.20823, and quantile values: 0.25 0.071325\n0.50 0.208230\n0.75 0.797920\nName: 11820, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.243052621936541, std values: 4.559850680037504, min values: 3.1169e-07, max values: 36.32, median values: 0.14455, and quantile values: 0.25 0.040095\n0.50 0.144550\n0.75 0.627115\nName: 11821, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3635615507604528, std values: 4.87505930004454, min values: 2.5872e-08, max values: 41.722, median values: 0.19414, and quantile values: 0.25 0.039716\n0.50 0.194140\n0.75 0.712965\nName: 11822, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4790906525748428, std values: 5.0775315690028195, min values: 2.0706e-06, max values: 42.394, median values: 0.22515, and quantile values: 0.25 0.057388\n0.50 0.225150\n0.75 0.857505\nName: 11823, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6558329834353458, std values: 5.3994034247936735, min values: 8.2962e-07, max values: 47.929, median values: 0.21654, and quantile values: 0.25 0.058118\n0.50 0.216540\n0.75 0.996915\nName: 11824, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4523513817415095, std values: 4.896009642334196, min values: 1.468e-06, max values: 38.786, median values: 0.23301, and quantile values: 0.25 0.070175\n0.50 0.233010\n0.75 0.844435\nName: 11825, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7821881198943395, std values: 5.401250449993008, min values: 4.576e-06, max values: 44.367, median values: 0.31503, and quantile values: 0.25 0.089145\n0.50 0.315030\n0.75 1.080800\nName: 11826, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4440809305009434, std values: 4.742899823151359, min values: 6.3175e-07, max values: 37.899, median values: 0.2114, and quantile values: 0.25 0.056802\n0.50 0.211400\n0.75 0.918955\nName: 11827, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4507161879157862, std values: 4.723165827672477, min values: 2.061e-08, max values: 37.486, median values: 0.21138, and quantile values: 0.25 0.048333\n0.50 0.211380\n0.75 0.861185\nName: 11828, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4234413239647798, std values: 4.968142688505989, min values: 1.1336e-06, max values: 40.621, median values: 0.17267, and quantile values: 0.25 0.054781\n0.50 0.172670\n0.75 0.832105\nName: 11829, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.370021354359497, std values: 4.913424756791634, min values: 4.1686e-07, max values: 41.468, median values: 0.13588, and quantile values: 0.25 0.043037\n0.50 0.135880\n0.75 0.736245\nName: 11830, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5766929927735218, std values: 4.9429419520730065, min values: 2.4099e-07, max values: 40.533, median values: 0.23164, and quantile values: 0.25 0.064769\n0.50 0.231640\n0.75 0.956810\nName: 11831, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4836095977974844, std values: 4.995656877187862, min values: 1.8213e-06, max values: 40.429, median values: 0.21171, and quantile values: 0.25 0.061795\n0.50 0.211710\n0.75 0.852770\nName: 11832, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5671526234075472, std values: 4.801929082309859, min values: 1.5877e-06, max values: 38.614, median values: 0.25517, and quantile values: 0.25 0.07963\n0.50 0.25517\n0.75 1.05680\nName: 11833, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2269238272157863, std values: 4.703397818001735, min values: 7.0951e-07, max values: 39.305, median values: 0.14596, and quantile values: 0.25 0.046347\n0.50 0.145960\n0.75 0.647080\nName: 11834, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4534677487465408, std values: 4.77493451854708, min values: 2.8136e-06, max values: 40.05, median values: 0.21853, and quantile values: 0.25 0.068628\n0.50 0.218530\n0.75 0.859930\nName: 11835, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5391067226710693, std values: 5.030487250700323, min values: 1.3196e-06, max values: 41.034, median values: 0.25548, and quantile values: 0.25 0.073676\n0.50 0.255480\n0.75 0.943185\nName: 11836, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5577430673522012, std values: 5.02329079346647, min values: 3.5835e-06, max values: 39.765, median values: 0.23358, and quantile values: 0.25 0.074140\n0.50 0.233580\n0.75 0.960065\nName: 11837, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4170282469126603, std values: 4.715238564574557, min values: 1.5343e-08, max values: 37.744, median values: 0.16397, and quantile values: 0.25 0.042068\n0.50 0.163970\n0.75 0.797840\nName: 11838, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9254121239842765, std values: 5.637762954617388, min values: 5.5797e-06, max values: 47.468, median values: 0.31583, and quantile values: 0.25 0.095421\n0.50 0.315830\n0.75 1.247550\nName: 11839, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4705018244498111, std values: 5.047439476168248, min values: 6.4792e-07, max values: 43.334, median values: 0.23601, and quantile values: 0.25 0.065398\n0.50 0.236010\n0.75 0.901715\nName: 11840, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2674569621449057, std values: 4.860620467845056, min values: 5.1164e-07, max values: 40.272, median values: 0.13866, and quantile values: 0.25 0.045632\n0.50 0.138660\n0.75 0.681905\nName: 11841, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4127364381956604, std values: 4.922037156723567, min values: 1.3591e-07, max values: 41.253, median values: 0.18359, and quantile values: 0.25 0.046818\n0.50 0.183590\n0.75 0.752705\nName: 11842, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2099064448937107, std values: 4.633886623051774, min values: 7.702e-07, max values: 37.366, median values: 0.12729, and quantile values: 0.25 0.045923\n0.50 0.127290\n0.75 0.619090\nName: 11843, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5692674914510691, std values: 4.734852569178824, min values: 8.9662e-07, max values: 38.277, median values: 0.26076, and quantile values: 0.25 0.072316\n0.50 0.260760\n0.75 1.071800\nName: 11844, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2926765449467235, std values: 4.602681283459828, min values: 2.1679e-08, max values: 36.657, median values: 0.13451, and quantile values: 0.25 0.038397\n0.50 0.134510\n0.75 0.670150\nName: 11845, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4657841912609435, std values: 5.172623847327902, min values: 6.4599e-07, max values: 45.085, median values: 0.18735, and quantile values: 0.25 0.058089\n0.50 0.187350\n0.75 0.863410\nName: 11846, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.54193429215339, std values: 5.3030884339156374, min values: 1.3445e-08, max values: 48.255, median values: 0.17669, and quantile values: 0.25 0.041881\n0.50 0.176690\n0.75 0.830655\nName: 11847, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5463117202872954, std values: 4.907018911688414, min values: 9.8618e-07, max values: 39.099, median values: 0.25716, and quantile values: 0.25 0.071632\n0.50 0.257160\n0.75 0.992875\nName: 11848, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7565795282062893, std values: 5.180156787950206, min values: 4.6447e-06, max values: 39.956, median values: 0.29858, and quantile values: 0.25 0.094149\n0.50 0.298580\n0.75 1.139400\nName: 11849, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4272156332088053, std values: 4.774832665485634, min values: 1.102e-06, max values: 38.875, median values: 0.22213, and quantile values: 0.25 0.057662\n0.50 0.222130\n0.75 0.823725\nName: 11850, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7325776483443396, std values: 5.257648482217411, min values: 9.6515e-07, max values: 44.068, median values: 0.28088, and quantile values: 0.25 0.069272\n0.50 0.280880\n0.75 1.092450\nName: 11851, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6671202026993714, std values: 5.3113416831117775, min values: 6.7299e-06, max values: 42.703, median values: 0.25536, and quantile values: 0.25 0.086709\n0.50 0.255360\n0.75 0.981870\nName: 11852, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6250617398993712, std values: 5.042941072258744, min values: 4.6601e-06, max values: 41.1, median values: 0.27451, and quantile values: 0.25 0.076468\n0.50 0.274510\n0.75 0.952195\nName: 11853, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6549447588867927, std values: 5.032440775139873, min values: 3.5194e-06, max values: 40.267, median values: 0.26796, and quantile values: 0.25 0.073432\n0.50 0.267960\n0.75 1.086400\nName: 11854, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3913882089786165, std values: 4.92470668737918, min values: 1.2488e-06, max values: 39.54, median values: 0.19695, and quantile values: 0.25 0.059399\n0.50 0.196950\n0.75 0.779340\nName: 11855, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5227900166457675, std values: 4.917841125407448, min values: 2.18e-08, max values: 41.682, median values: 0.20864, and quantile values: 0.25 0.042106\n0.50 0.208640\n0.75 0.883560\nName: 11856, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3208121346101886, std values: 4.6648116385274525, min values: 2.5802e-07, max values: 37.057, median values: 0.17669, and quantile values: 0.25 0.052997\n0.50 0.176690\n0.75 0.730135\nName: 11857, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6898483106584905, std values: 5.031368474207989, min values: 3.3235e-06, max values: 40.4, median values: 0.32493, and quantile values: 0.25 0.077037\n0.50 0.324930\n0.75 1.065450\nName: 11858, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4613360662432704, std values: 4.7294222284002245, min values: 3.8078e-07, max values: 37.163, median values: 0.22326, and quantile values: 0.25 0.057268\n0.50 0.223260\n0.75 0.849000\nName: 11859, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3687794675704403, std values: 4.960153975196081, min values: 2.311e-06, max values: 40.065, median values: 0.20097, and quantile values: 0.25 0.060383\n0.50 0.200970\n0.75 0.764370\nName: 11860, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.449191241677987, std values: 4.877667208703786, min values: 2.0276e-06, max values: 38.933, median values: 0.20894, and quantile values: 0.25 0.063169\n0.50 0.208940\n0.75 0.781490\nName: 11861, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.622031388127044, std values: 5.079929975548415, min values: 3.0776e-06, max values: 40.113, median values: 0.30136, and quantile values: 0.25 0.070689\n0.50 0.301360\n0.75 1.058000\nName: 11862, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.520888808947673, std values: 4.857773896703209, min values: 9.7858e-07, max values: 38.302, median values: 0.24518, and quantile values: 0.25 0.061919\n0.50 0.245180\n0.75 0.997835\nName: 11863, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5565997712018866, std values: 5.087733340381017, min values: 1.9837e-06, max values: 41.72, median values: 0.22907, and quantile values: 0.25 0.065151\n0.50 0.229070\n0.75 0.971395\nName: 11864, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2859580205697483, std values: 4.660317765860438, min values: 6.6129e-07, max values: 38.961, median values: 0.16845, and quantile values: 0.25 0.053257\n0.50 0.168450\n0.75 0.774715\nName: 11865, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6887328861666666, std values: 5.172206768064435, min values: 1.9239e-06, max values: 41.205, median values: 0.26847, and quantile values: 0.25 0.070038\n0.50 0.268470\n0.75 1.142650\nName: 11866, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.653835958701258, std values: 5.139648135370511, min values: 1.3982e-06, max values: 42.64, median values: 0.31549, and quantile values: 0.25 0.077888\n0.50 0.315490\n0.75 1.036400\nName: 11867, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.452982790869308, std values: 4.902812404208749, min values: 4.6362e-07, max values: 39.823, median values: 0.2235, and quantile values: 0.25 0.058430\n0.50 0.223500\n0.75 0.891495\nName: 11868, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3909126765572326, std values: 4.947678181920618, min values: 4.9769e-06, max values: 40.345, median values: 0.1569, and quantile values: 0.25 0.055873\n0.50 0.156900\n0.75 0.643925\nName: 11869, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.400721217646541, std values: 4.979591307575172, min values: 2.5524e-06, max values: 40.024, median values: 0.20353, and quantile values: 0.25 0.056177\n0.50 0.203530\n0.75 0.782865\nName: 11870, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5396040658408805, std values: 5.222777849147768, min values: 3.2539e-06, max values: 43.247, median values: 0.23919, and quantile values: 0.25 0.065832\n0.50 0.239190\n0.75 0.924245\nName: 11871, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.170404906639308, std values: 4.320305881783357, min values: 1.2978e-07, max values: 35.765, median values: 0.12589, and quantile values: 0.25 0.034188\n0.50 0.125890\n0.75 0.580360\nName: 11872, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5169317498213837, std values: 5.028686132904594, min values: 1.5857e-06, max values: 41.236, median values: 0.22116, and quantile values: 0.25 0.065066\n0.50 0.221160\n0.75 0.967215\nName: 11873, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.0534819923883647, std values: 4.409652120546741, min values: 2.6095e-07, max values: 37.412, median values: 0.099216, and quantile values: 0.25 0.033012\n0.50 0.099216\n0.75 0.509650\nName: 11874, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.609301865399371, std values: 4.981027438887848, min values: 3.2771e-06, max values: 39.491, median values: 0.29172, and quantile values: 0.25 0.073186\n0.50 0.291720\n0.75 0.997925\nName: 11875, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3863827982773584, std values: 4.921281273749383, min values: 1.7349e-06, max values: 39.753, median values: 0.17118, and quantile values: 0.25 0.055934\n0.50 0.171180\n0.75 0.807435\nName: 11876, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3946617462444655, std values: 5.0312644447305575, min values: 2.6017e-07, max values: 43.987, median values: 0.21108, and quantile values: 0.25 0.053509\n0.50 0.211080\n0.75 0.730425\nName: 11877, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3781332172861636, std values: 4.89454288721788, min values: 1.7478e-06, max values: 39.677, median values: 0.19698, and quantile values: 0.25 0.058953\n0.50 0.196980\n0.75 0.774485\nName: 11878, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4222342205050313, std values: 4.909451947688453, min values: 1.7702e-06, max values: 39.263, median values: 0.21337, and quantile values: 0.25 0.068046\n0.50 0.213370\n0.75 0.871725\nName: 11879, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.957356046754088, std values: 5.598136931202083, min values: 4.2243e-06, max values: 46.425, median values: 0.31839, and quantile values: 0.25 0.089845\n0.50 0.318390\n0.75 1.282350\nName: 11880, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3463112697132074, std values: 5.08149982029408, min values: 1.6294e-06, max values: 42.588, median values: 0.15945, and quantile values: 0.25 0.047851\n0.50 0.159450\n0.75 0.670215\nName: 11881, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5172697693415094, std values: 4.945802821735707, min values: 5.142e-07, max values: 40.332, median values: 0.23907, and quantile values: 0.25 0.059882\n0.50 0.239070\n0.75 0.975035\nName: 11882, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3679655628594338, std values: 4.76804620900602, min values: 1.5045e-07, max values: 38.144, median values: 0.17798, and quantile values: 0.25 0.050424\n0.50 0.177980\n0.75 0.810125\nName: 11883, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3481441452037735, std values: 4.847885037801376, min values: 2.7589e-06, max values: 40.395, median values: 0.19121, and quantile values: 0.25 0.059432\n0.50 0.191210\n0.75 0.686680\nName: 11884, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.467864468144654, std values: 5.099147851846716, min values: 2.8106e-06, max values: 42.388, median values: 0.22195, and quantile values: 0.25 0.06677\n0.50 0.22195\n0.75 0.81314\nName: 11885, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3561283966075472, std values: 4.670756256318392, min values: 1.3703e-06, max values: 38.601, median values: 0.1991, and quantile values: 0.25 0.057205\n0.50 0.199100\n0.75 0.834760\nName: 11886, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.596267831032893, std values: 5.064215776731276, min values: 4.307e-07, max values: 42.826, median values: 0.25145, and quantile values: 0.25 0.056666\n0.50 0.251450\n0.75 0.993095\nName: 11887, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5836189443289308, std values: 5.007021806798141, min values: 2.8475e-06, max values: 39.401, median values: 0.28657, and quantile values: 0.25 0.072165\n0.50 0.286570\n0.75 1.039300\nName: 11888, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2443597536083018, std values: 4.542597907232633, min values: 3.7087e-07, max values: 37.017, median values: 0.14854, and quantile values: 0.25 0.043322\n0.50 0.148540\n0.75 0.623765\nName: 11889, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6974400721534588, std values: 5.522779661293862, min values: 3.6398e-06, max values: 47.426, median values: 0.24662, and quantile values: 0.25 0.075119\n0.50 0.246620\n0.75 1.033880\nName: 11890, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.401345009211195, std values: 4.761635905875929, min values: 4.3158e-07, max values: 37.791, median values: 0.17834, and quantile values: 0.25 0.052480\n0.50 0.178340\n0.75 0.773225\nName: 11891, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5994203475314466, std values: 5.099750112717408, min values: 1.4545e-06, max values: 42.505, median values: 0.25277, and quantile values: 0.25 0.06950\n0.50 0.25277\n0.75 1.07315\nName: 11892, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.208091866488868, std values: 4.565157493211747, min values: 6.3983e-07, max values: 38.225, median values: 0.13627, and quantile values: 0.25 0.042307\n0.50 0.136270\n0.75 0.662070\nName: 11893, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5527161861955974, std values: 5.17847021079593, min values: 4.3578e-06, max values: 42.794, median values: 0.22776, and quantile values: 0.25 0.077048\n0.50 0.227760\n0.75 0.880935\nName: 11894, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4085527288389936, std values: 5.0229108514475875, min values: 4.438e-07, max values: 43.242, median values: 0.20118, and quantile values: 0.25 0.055814\n0.50 0.201180\n0.75 0.797855\nName: 11895, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.636109792510063, std values: 5.322416014529809, min values: 4.8018e-06, max values: 44.253, median values: 0.25475, and quantile values: 0.25 0.080188\n0.50 0.254750\n0.75 0.955410\nName: 11896, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5096186807947798, std values: 5.138640819484064, min values: 2.5277e-07, max values: 44.726, median values: 0.22053, and quantile values: 0.25 0.058533\n0.50 0.220530\n0.75 0.885795\nName: 11897, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2780886614345914, std values: 4.811762932569365, min values: 9.529e-07, max values: 38.833, median values: 0.16593, and quantile values: 0.25 0.047714\n0.50 0.165930\n0.75 0.669140\nName: 11898, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5337364594553458, std values: 4.845661023858412, min values: 1.8261e-06, max values: 38.391, median values: 0.25281, and quantile values: 0.25 0.087064\n0.50 0.252810\n0.75 0.971270\nName: 11899, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5040254902075474, std values: 5.246426550262017, min values: 4.472e-06, max values: 43.276, median values: 0.24744, and quantile values: 0.25 0.071022\n0.50 0.247440\n0.75 0.846380\nName: 11900, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5745064347132076, std values: 5.008869026505373, min values: 4.3691e-06, max values: 40.144, median values: 0.26427, and quantile values: 0.25 0.075925\n0.50 0.264270\n0.75 0.951125\nName: 11901, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7208741132131444, std values: 4.854919653235607, min values: 3.2919e-07, max values: 37.146, median values: 0.31728, and quantile values: 0.25 0.076507\n0.50 0.317280\n0.75 1.269250\nName: 11902, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4189872086642137, std values: 4.895793111178096, min values: 2.9121e-07, max values: 40.858, median values: 0.19131, and quantile values: 0.25 0.050413\n0.50 0.191310\n0.75 0.787760\nName: 11903, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.695780558427673, std values: 5.057247344833979, min values: 4.2791e-06, max values: 40.574, median values: 0.31168, and quantile values: 0.25 0.082417\n0.50 0.311680\n0.75 1.047800\nName: 11904, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.661331442099371, std values: 5.25250929436073, min values: 4.6745e-06, max values: 41.615, median values: 0.26584, and quantile values: 0.25 0.077754\n0.50 0.265840\n0.75 1.025950\nName: 11905, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4181710558974843, std values: 4.959268049115709, min values: 1.8802e-06, max values: 41.474, median values: 0.24309, and quantile values: 0.25 0.066770\n0.50 0.243090\n0.75 0.861395\nName: 11906, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6171785926371067, std values: 5.0282272863577, min values: 3.5006e-06, max values: 40.148, median values: 0.26759, and quantile values: 0.25 0.077151\n0.50 0.267590\n0.75 1.017500\nName: 11907, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4963629761415094, std values: 5.0532070135055935, min values: 2.6786e-06, max values: 40.854, median values: 0.21005, and quantile values: 0.25 0.062529\n0.50 0.210050\n0.75 0.896400\nName: 11908, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4276274448440252, std values: 5.1566482162506935, min values: 2.4337e-06, max values: 43.866, median values: 0.19401, and quantile values: 0.25 0.062492\n0.50 0.194010\n0.75 0.761525\nName: 11909, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4959405757660378, std values: 4.976817983114674, min values: 1.5084e-06, max values: 40.346, median values: 0.23653, and quantile values: 0.25 0.061055\n0.50 0.236530\n0.75 0.918185\nName: 11910, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.337202936245849, std values: 4.809625597786535, min values: 8.1079e-07, max values: 38.808, median values: 0.16482, and quantile values: 0.25 0.046173\n0.50 0.164820\n0.75 0.738005\nName: 11911, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5819029733031444, std values: 5.007625642139725, min values: 2.4207e-06, max values: 39.812, median values: 0.25748, and quantile values: 0.25 0.079139\n0.50 0.257480\n0.75 0.998955\nName: 11912, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3216228200194966, std values: 4.751399334795004, min values: 1.4926e-06, max values: 38.758, median values: 0.17979, and quantile values: 0.25 0.053401\n0.50 0.179790\n0.75 0.731130\nName: 11913, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4305794578930817, std values: 4.771307062012081, min values: 3.5863e-06, max values: 40.034, median values: 0.22535, and quantile values: 0.25 0.066618\n0.50 0.225350\n0.75 0.786870\nName: 11914, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7076174867238996, std values: 5.183081902804245, min values: 1.7677e-06, max values: 42.358, median values: 0.33261, and quantile values: 0.25 0.079197\n0.50 0.332610\n0.75 1.134850\nName: 11915, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5175516726276728, std values: 5.016490506673266, min values: 2.1594e-06, max values: 39.933, median values: 0.22413, and quantile values: 0.25 0.071064\n0.50 0.224130\n0.75 0.915475\nName: 11916, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2925412820174844, std values: 4.589971356233039, min values: 1.6812e-07, max values: 36.926, median values: 0.16963, and quantile values: 0.25 0.046505\n0.50 0.169630\n0.75 0.728130\nName: 11917, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.711204630006289, std values: 5.038739972420466, min values: 6.509e-06, max values: 41.393, median values: 0.29276, and quantile values: 0.25 0.080963\n0.50 0.292760\n0.75 1.063100\nName: 11918, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3509562047061006, std values: 4.7436617630297455, min values: 7.4977e-07, max values: 37.967, median values: 0.2085, and quantile values: 0.25 0.064226\n0.50 0.208500\n0.75 0.772125\nName: 11919, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6713702433, std values: 5.11450699629132, min values: 2.0314e-06, max values: 41.566, median values: 0.27632, and quantile values: 0.25 0.083158\n0.50 0.276320\n0.75 1.148900\nName: 11920, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.380788664420755, std values: 5.100337192558092, min values: 3.9718e-06, max values: 41.454, median values: 0.17418, and quantile values: 0.25 0.050949\n0.50 0.174180\n0.75 0.687015\nName: 11921, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3579922814028553, std values: 4.483755630774829, min values: 2.0174e-08, max values: 36.467, median values: 0.19821, and quantile values: 0.25 0.046385\n0.50 0.198210\n0.75 0.871505\nName: 11922, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6118888197704404, std values: 5.079327632529543, min values: 3.2541e-06, max values: 40.133, median values: 0.27894, and quantile values: 0.25 0.080918\n0.50 0.278940\n0.75 0.975005\nName: 11923, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4894199974037736, std values: 4.830641394611261, min values: 1.3957e-06, max values: 39.41, median values: 0.21203, and quantile values: 0.25 0.061277\n0.50 0.212030\n0.75 0.934890\nName: 11924, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6369047803955343, std values: 4.951354486071761, min values: 3.7576e-07, max values: 40.194, median values: 0.25939, and quantile values: 0.25 0.055582\n0.50 0.259390\n0.75 1.229250\nName: 11925, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4271484227270441, std values: 4.763543297570396, min values: 1.2344e-06, max values: 38.137, median values: 0.187, and quantile values: 0.25 0.063403\n0.50 0.187000\n0.75 0.857125\nName: 11926, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.450522254515786, std values: 5.133656832632419, min values: 2.1431e-07, max values: 44.612, median values: 0.17571, and quantile values: 0.25 0.05291\n0.50 0.17571\n0.75 0.82417\nName: 11927, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2597945889905662, std values: 4.828108266461587, min values: 1.2698e-06, max values: 39.038, median values: 0.16147, and quantile values: 0.25 0.050181\n0.50 0.161470\n0.75 0.630015\nName: 11928, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6947756244096228, std values: 5.119983626170341, min values: 9.5473e-07, max values: 40.554, median values: 0.25595, and quantile values: 0.25 0.066267\n0.50 0.255950\n0.75 1.061800\nName: 11929, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.542967231373585, std values: 4.9060162420423445, min values: 3.7021e-06, max values: 39.498, median values: 0.21429, and quantile values: 0.25 0.068884\n0.50 0.214290\n0.75 0.947245\nName: 11930, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.444310543774088, std values: 4.815567046837884, min values: 5.6458e-07, max values: 38.872, median values: 0.23632, and quantile values: 0.25 0.062508\n0.50 0.236320\n0.75 0.902925\nName: 11931, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5160283636943397, std values: 4.894466208960367, min values: 2.7817e-06, max values: 39.988, median values: 0.23485, and quantile values: 0.25 0.066641\n0.50 0.234850\n0.75 0.881140\nName: 11932, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.418212739931069, std values: 4.759490908061145, min values: 2.2704e-07, max values: 37.968, median values: 0.1844, and quantile values: 0.25 0.056251\n0.50 0.184400\n0.75 0.807300\nName: 11933, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.478125539701069, std values: 4.973430631561544, min values: 8.9187e-07, max values: 41.407, median values: 0.22995, and quantile values: 0.25 0.065521\n0.50 0.229950\n0.75 0.858855\nName: 11934, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6021678933073584, std values: 5.046122456955114, min values: 4.2577e-07, max values: 42.062, median values: 0.24045, and quantile values: 0.25 0.065155\n0.50 0.240450\n0.75 1.064850\nName: 11935, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5174739431545283, std values: 4.811531112961015, min values: 3.4617e-07, max values: 37.964, median values: 0.21846, and quantile values: 0.25 0.055686\n0.50 0.218460\n0.75 0.947770\nName: 11936, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5820135182566035, std values: 5.148661767510984, min values: 6.9278e-06, max values: 42.496, median values: 0.2239, and quantile values: 0.25 0.067809\n0.50 0.223900\n0.75 0.868300\nName: 11937, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4099725946, std values: 4.9291441917439816, min values: 1.6656e-06, max values: 40.484, median values: 0.18853, and quantile values: 0.25 0.059838\n0.50 0.188530\n0.75 0.712380\nName: 11938, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3234752979184905, std values: 4.904146381122548, min values: 8.3834e-07, max values: 41.082, median values: 0.17608, and quantile values: 0.25 0.055483\n0.50 0.176080\n0.75 0.678225\nName: 11939, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.281195633464025, std values: 4.750957424392367, min values: 9.2518e-07, max values: 38.813, median values: 0.16163, and quantile values: 0.25 0.052421\n0.50 0.161630\n0.75 0.660670\nName: 11940, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4816914069855345, std values: 5.240283238533437, min values: 1.3164e-06, max values: 45.241, median values: 0.22628, and quantile values: 0.25 0.053837\n0.50 0.226280\n0.75 0.795745\nName: 11941, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5546511719450942, std values: 4.989064825516462, min values: 1.8447e-07, max values: 41.438, median values: 0.24513, and quantile values: 0.25 0.059488\n0.50 0.245130\n0.75 1.006350\nName: 11942, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5684526196056603, std values: 5.176597543054337, min values: 2.4874e-06, max values: 42.824, median values: 0.23753, and quantile values: 0.25 0.066269\n0.50 0.237530\n0.75 0.961290\nName: 11943, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.641590300227044, std values: 5.0204585079475486, min values: 2.0375e-06, max values: 39.254, median values: 0.25755, and quantile values: 0.25 0.07125\n0.50 0.25755\n0.75 1.09175\nName: 11944, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5930845232691824, std values: 5.335774308471648, min values: 2.9135e-06, max values: 46.048, median values: 0.23358, and quantile values: 0.25 0.07682\n0.50 0.23358\n0.75 0.92097\nName: 11945, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5119849403381762, std values: 5.126395747582608, min values: 8.6937e-07, max values: 44.138, median values: 0.2035, and quantile values: 0.25 0.052242\n0.50 0.203500\n0.75 0.921730\nName: 11946, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.552390415877107, std values: 4.858605091963659, min values: 5.1916e-07, max values: 38.303, median values: 0.26054, and quantile values: 0.25 0.064964\n0.50 0.260540\n0.75 1.041000\nName: 11947, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.50069404471761, std values: 4.900741377419474, min values: 2.4163e-06, max values: 39.595, median values: 0.21973, and quantile values: 0.25 0.072476\n0.50 0.219730\n0.75 0.894085\nName: 11948, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2502948297717233, std values: 4.71823631012848, min values: 1.8554e-08, max values: 38.965, median values: 0.15269, and quantile values: 0.25 0.036296\n0.50 0.152690\n0.75 0.615645\nName: 11949, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4317599475683647, std values: 4.876245142202564, min values: 7.8827e-07, max values: 39.432, median values: 0.19137, and quantile values: 0.25 0.056279\n0.50 0.191370\n0.75 0.827605\nName: 11950, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4369867776383458, std values: 4.816038525347125, min values: 1.3607e-08, max values: 40.198, median values: 0.17118, and quantile values: 0.25 0.037606\n0.50 0.171180\n0.75 0.796760\nName: 11951, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4350447305987422, std values: 4.7455616018259095, min values: 1.8407e-06, max values: 39.28, median values: 0.19478, and quantile values: 0.25 0.059369\n0.50 0.194780\n0.75 0.886105\nName: 11952, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3832095437654088, std values: 4.8716153184032684, min values: 2.1031e-06, max values: 39.006, median values: 0.19513, and quantile values: 0.25 0.062293\n0.50 0.195130\n0.75 0.809615\nName: 11953, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5694511474238992, std values: 5.0442533763751385, min values: 3.468e-06, max values: 40.305, median values: 0.24912, and quantile values: 0.25 0.069100\n0.50 0.249120\n0.75 0.968925\nName: 11954, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4587918720955975, std values: 4.843851194211594, min values: 2.0668e-06, max values: 38.972, median values: 0.23516, and quantile values: 0.25 0.060802\n0.50 0.235160\n0.75 0.843685\nName: 11955, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3968415935943395, std values: 5.060743193478273, min values: 4.5978e-06, max values: 41.696, median values: 0.20553, and quantile values: 0.25 0.057885\n0.50 0.205530\n0.75 0.683780\nName: 11956, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4683222368818494, std values: 4.815593533664169, min values: 9.8214e-08, max values: 38.211, median values: 0.18484, and quantile values: 0.25 0.048185\n0.50 0.184840\n0.75 0.862410\nName: 11957, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.708067579499371, std values: 5.24228120042454, min values: 1.0178e-06, max values: 44.229, median values: 0.33161, and quantile values: 0.25 0.076052\n0.50 0.331610\n0.75 1.156600\nName: 11958, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5500566284654087, std values: 4.8190564270925575, min values: 3.0861e-06, max values: 40.146, median values: 0.26655, and quantile values: 0.25 0.073381\n0.50 0.266550\n0.75 0.941470\nName: 11959, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.535747920118868, std values: 4.970565586057527, min values: 2.1914e-06, max values: 39.842, median values: 0.2369, and quantile values: 0.25 0.068995\n0.50 0.236900\n0.75 1.015925\nName: 11960, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.565014665891195, std values: 4.791767998819737, min values: 1.7935e-06, max values: 38.267, median values: 0.26983, and quantile values: 0.25 0.071148\n0.50 0.269830\n0.75 1.042550\nName: 11961, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6285216655201258, std values: 4.870136902259965, min values: 3.6895e-06, max values: 39.267, median values: 0.31724, and quantile values: 0.25 0.087967\n0.50 0.317240\n0.75 1.054350\nName: 11962, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6055991189616354, std values: 4.927397187913792, min values: 2.0863e-06, max values: 39.514, median values: 0.24229, and quantile values: 0.25 0.072177\n0.50 0.242290\n0.75 1.063250\nName: 11963, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5761620039817608, std values: 4.874199376482004, min values: 1.4198e-06, max values: 38.69, median values: 0.23631, and quantile values: 0.25 0.072415\n0.50 0.236310\n0.75 1.015485\nName: 11964, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4247225002008805, std values: 4.792318183031089, min values: 4.915e-07, max values: 38.756, median values: 0.18212, and quantile values: 0.25 0.049925\n0.50 0.182120\n0.75 0.790750\nName: 11965, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3232832892917608, std values: 4.944962812992783, min values: 5.1759e-07, max values: 41.267, median values: 0.1683, and quantile values: 0.25 0.043984\n0.50 0.168300\n0.75 0.676500\nName: 11966, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3132012271035285, std values: 4.531835712592939, min values: 2.1496e-08, max values: 35.831, median values: 0.18012, and quantile values: 0.25 0.038393\n0.50 0.180120\n0.75 0.723525\nName: 11967, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7073764705622643, std values: 4.999505080970463, min values: 1.7067e-06, max values: 38.974, median values: 0.31974, and quantile values: 0.25 0.083613\n0.50 0.319740\n0.75 1.175500\nName: 11968, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2023632723537105, std values: 4.50066239499524, min values: 1.9053e-07, max values: 37.113, median values: 0.14312, and quantile values: 0.25 0.039228\n0.50 0.143120\n0.75 0.590010\nName: 11969, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.430677037010063, std values: 4.999948693514626, min values: 3.4305e-06, max values: 40.412, median values: 0.21342, and quantile values: 0.25 0.064209\n0.50 0.213420\n0.75 0.789460\nName: 11970, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6218873378510692, std values: 5.038548816679902, min values: 8.6172e-07, max values: 40.64, median values: 0.2691, and quantile values: 0.25 0.067595\n0.50 0.269100\n0.75 1.034590\nName: 11971, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.760602013816981, std values: 5.024928949547506, min values: 2.7431e-06, max values: 39.135, median values: 0.3094, and quantile values: 0.25 0.087543\n0.50 0.309400\n0.75 1.254050\nName: 11972, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2888753439885345, std values: 4.69601717042403, min values: 0.0, max values: 38.114, median values: 0.16257, and quantile values: 0.25 0.036163\n0.50 0.162570\n0.75 0.647860\nName: 11973, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4719191459690566, std values: 4.759958806635695, min values: 0.0, max values: 37.521, median values: 0.22597, and quantile values: 0.25 0.063979\n0.50 0.225970\n0.75 0.897055\nName: 11974, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5253015735062891, std values: 5.236112821948216, min values: 1.8158e-06, max values: 44.894, median values: 0.24372, and quantile values: 0.25 0.064369\n0.50 0.243720\n0.75 0.889380\nName: 11975, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4759132906257861, std values: 4.957835987285169, min values: 2.8355e-06, max values: 39.592, median values: 0.24599, and quantile values: 0.25 0.058962\n0.50 0.245990\n0.75 0.891110\nName: 11976, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3885232361368303, std values: 4.75264885620738, min values: 1.7456e-08, max values: 38.725, median values: 0.1979, and quantile values: 0.25 0.053095\n0.50 0.197900\n0.75 0.820840\nName: 11977, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.347805491504654, std values: 4.850723283795348, min values: 3.3814e-07, max values: 40.144, median values: 0.18165, and quantile values: 0.25 0.052597\n0.50 0.181650\n0.75 0.772980\nName: 11978, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4897603003690565, std values: 4.94688890948292, min values: 8.9708e-07, max values: 40.707, median values: 0.26541, and quantile values: 0.25 0.067319\n0.50 0.265410\n0.75 0.942695\nName: 11979, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5327781678540882, std values: 5.047744918616375, min values: 1.7638e-06, max values: 40.647, median values: 0.22366, and quantile values: 0.25 0.071625\n0.50 0.223660\n0.75 0.949860\nName: 11980, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4893667279533334, std values: 4.894329646240194, min values: 8.7578e-07, max values: 39.499, median values: 0.22451, and quantile values: 0.25 0.064351\n0.50 0.224510\n0.75 0.941240\nName: 11981, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6176586393427672, std values: 4.919181800006727, min values: 4.0426e-06, max values: 40.241, median values: 0.26448, and quantile values: 0.25 0.074511\n0.50 0.264480\n0.75 1.018390\nName: 11982, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6720096658138364, std values: 5.152713248507632, min values: 2.9409e-06, max values: 40.738, median values: 0.31869, and quantile values: 0.25 0.076909\n0.50 0.318690\n0.75 1.053700\nName: 11983, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5398501068383645, std values: 4.816711247448431, min values: 2.8307e-06, max values: 39.609, median values: 0.26374, and quantile values: 0.25 0.077039\n0.50 0.263740\n0.75 0.970740\nName: 11984, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.413448430283019, std values: 4.965458982270008, min values: 1.2584e-06, max values: 40.4, median values: 0.18672, and quantile values: 0.25 0.056599\n0.50 0.186720\n0.75 0.812375\nName: 11985, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4342288972045283, std values: 5.066726079254018, min values: 9.2692e-07, max values: 42.704, median values: 0.17975, and quantile values: 0.25 0.054645\n0.50 0.179750\n0.75 0.826005\nName: 11986, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2843687331538993, std values: 4.81799701014911, min values: 7.7597e-07, max values: 39.349, median values: 0.17479, and quantile values: 0.25 0.044575\n0.50 0.174790\n0.75 0.687755\nName: 11987, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5557743285698111, std values: 5.113999388774372, min values: 2.3272e-06, max values: 42.107, median values: 0.24481, and quantile values: 0.25 0.067766\n0.50 0.244810\n0.75 0.969610\nName: 11988, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5920180790409435, std values: 4.98833578827185, min values: 6.5761e-07, max values: 39.835, median values: 0.22245, and quantile values: 0.25 0.076237\n0.50 0.222450\n0.75 1.007235\nName: 11989, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.458596432089937, std values: 4.92822122289725, min values: 1.6848e-06, max values: 39.383, median values: 0.21691, and quantile values: 0.25 0.060275\n0.50 0.216910\n0.75 0.894655\nName: 11990, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.696791421433333, std values: 5.154794398968698, min values: 6.5599e-06, max values: 41.268, median values: 0.28446, and quantile values: 0.25 0.082017\n0.50 0.284460\n0.75 0.960510\nName: 11991, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5704140448238995, std values: 5.106192346974151, min values: 2.247e-06, max values: 41.047, median values: 0.24264, and quantile values: 0.25 0.067608\n0.50 0.242640\n0.75 0.976000\nName: 11992, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6558138732817609, std values: 5.305025651888838, min values: 3.2444e-06, max values: 45.066, median values: 0.28303, and quantile values: 0.25 0.078021\n0.50 0.283030\n0.75 1.018640\nName: 11993, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6804553539641511, std values: 4.929104807670679, min values: 1.9765e-06, max values: 38.663, median values: 0.29186, and quantile values: 0.25 0.090741\n0.50 0.291860\n0.75 1.114100\nName: 11994, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3329807697031446, std values: 4.615284494195599, min values: 1.0117e-06, max values: 39.048, median values: 0.17821, and quantile values: 0.25 0.051677\n0.50 0.178210\n0.75 0.801515\nName: 11995, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.404349055776981, std values: 4.637299513210143, min values: 8.3744e-07, max values: 38.181, median values: 0.20925, and quantile values: 0.25 0.057716\n0.50 0.209250\n0.75 0.812950\nName: 11996, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4168906676031447, std values: 5.019409109716626, min values: 1.6505e-06, max values: 41.5, median values: 0.20895, and quantile values: 0.25 0.063189\n0.50 0.208950\n0.75 0.787825\nName: 11997, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4911017213138364, std values: 4.989707054477655, min values: 3.3092e-06, max values: 40.144, median values: 0.22215, and quantile values: 0.25 0.065996\n0.50 0.222150\n0.75 0.882245\nName: 11998, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4118312829509434, std values: 4.992669278733564, min values: 1.8108e-06, max values: 41.13, median values: 0.20434, and quantile values: 0.25 0.057877\n0.50 0.204340\n0.75 0.794090\nName: 11999, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5219435700702642, std values: 4.763302670376242, min values: 6.8172e-08, max values: 37.614, median values: 0.24587, and quantile values: 0.25 0.057236\n0.50 0.245870\n0.75 0.969755\nName: 12000, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5843689155942768, std values: 4.951760388721279, min values: 6.0479e-07, max values: 39.683, median values: 0.2592, and quantile values: 0.25 0.069301\n0.50 0.259200\n0.75 1.067300\nName: 12001, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5877186768433957, std values: 5.161687325314158, min values: 4.0715e-06, max values: 41.648, median values: 0.25889, and quantile values: 0.25 0.076165\n0.50 0.258890\n0.75 0.975585\nName: 12002, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4087981392221949, std values: 4.6998713774909975, min values: 9.9629e-08, max values: 38.103, median values: 0.20386, and quantile values: 0.25 0.063907\n0.50 0.203860\n0.75 0.801705\nName: 12003, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4258529446132076, std values: 4.9146966831556425, min values: 1.2121e-06, max values: 40.15, median values: 0.2153, and quantile values: 0.25 0.057534\n0.50 0.215300\n0.75 0.842975\nName: 12004, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.34799714654239, std values: 4.92539999741374, min values: 2.9596e-07, max values: 41.941, median values: 0.16909, and quantile values: 0.25 0.044451\n0.50 0.169090\n0.75 0.675190\nName: 12005, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.373911835688742, std values: 4.927303644853039, min values: 5.5101e-07, max values: 41.067, median values: 0.19043, and quantile values: 0.25 0.056039\n0.50 0.190430\n0.75 0.782785\nName: 12006, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4860943182213837, std values: 4.805032037522939, min values: 1.2846e-06, max values: 38.67, median values: 0.20868, and quantile values: 0.25 0.057587\n0.50 0.208680\n0.75 0.913385\nName: 12007, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4006832759291192, std values: 4.859256544900003, min values: 3.7863e-07, max values: 39.848, median values: 0.22607, and quantile values: 0.25 0.059537\n0.50 0.226070\n0.75 0.845905\nName: 12008, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4915619396254716, std values: 4.898298719506382, min values: 5.0165e-07, max values: 39.851, median values: 0.22958, and quantile values: 0.25 0.064677\n0.50 0.229580\n0.75 0.977305\nName: 12009, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.669595601072956, std values: 5.228311450811716, min values: 4.872e-06, max values: 42.065, median values: 0.27774, and quantile values: 0.25 0.077639\n0.50 0.277740\n0.75 1.003885\nName: 12010, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.44178498611761, std values: 4.828566693383033, min values: 1.8428e-06, max values: 39.73, median values: 0.22681, and quantile values: 0.25 0.066831\n0.50 0.226810\n0.75 0.948070\nName: 12011, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4129300508597484, std values: 4.831777787672656, min values: 1.512e-06, max values: 39.574, median values: 0.21349, and quantile values: 0.25 0.058574\n0.50 0.213490\n0.75 0.844040\nName: 12012, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6363789986327233, std values: 5.055898745565402, min values: 3.1803e-08, max values: 41.941, median values: 0.20909, and quantile values: 0.25 0.059984\n0.50 0.209090\n0.75 1.095250\nName: 12013, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6052828761776727, std values: 5.100203301236102, min values: 4.2105e-07, max values: 43.311, median values: 0.23823, and quantile values: 0.25 0.067722\n0.50 0.238230\n0.75 1.035650\nName: 12014, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3960425973785537, std values: 4.991881719524009, min values: 1.2779e-07, max values: 42.383, median values: 0.1869, and quantile values: 0.25 0.044665\n0.50 0.186900\n0.75 0.775120\nName: 12015, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7492889528232705, std values: 5.153811320129044, min values: 4.0427e-06, max values: 41.135, median values: 0.30665, and quantile values: 0.25 0.082596\n0.50 0.306650\n0.75 1.125700\nName: 12016, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5940369461748427, std values: 4.993455747463008, min values: 3.0993e-06, max values: 39.398, median values: 0.24292, and quantile values: 0.25 0.067479\n0.50 0.242920\n0.75 1.023205\nName: 12017, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.322298031265157, std values: 4.698346551460305, min values: 1.464e-08, max values: 37.775, median values: 0.16807, and quantile values: 0.25 0.039861\n0.50 0.168070\n0.75 0.713895\nName: 12018, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4792971000182389, std values: 4.934525422622937, min values: 2.1363e-06, max values: 39.479, median values: 0.21446, and quantile values: 0.25 0.061299\n0.50 0.214460\n0.75 0.927375\nName: 12019, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.449201517934591, std values: 4.924799249034682, min values: 2.2264e-06, max values: 39.582, median values: 0.22978, and quantile values: 0.25 0.061990\n0.50 0.229780\n0.75 0.851975\nName: 12020, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4550554598547172, std values: 4.891282887499775, min values: 2.0568e-06, max values: 39.485, median values: 0.23519, and quantile values: 0.25 0.061374\n0.50 0.235190\n0.75 0.882715\nName: 12021, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5350484493893082, std values: 5.00131577092554, min values: 3.0795e-06, max values: 40.668, median values: 0.23277, and quantile values: 0.25 0.068451\n0.50 0.232770\n0.75 0.921505\nName: 12022, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4380391163337736, std values: 4.860122633779402, min values: 1.0033e-07, max values: 40.895, median values: 0.20471, and quantile values: 0.25 0.049935\n0.50 0.204710\n0.75 0.872875\nName: 12023, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4886477640855345, std values: 5.275579357256093, min values: 1.6293e-06, max values: 46.118, median values: 0.22537, and quantile values: 0.25 0.068329\n0.50 0.225370\n0.75 0.843815\nName: 12024, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5789587974974844, std values: 4.854364898487632, min values: 3.0366e-06, max values: 39.809, median values: 0.28848, and quantile values: 0.25 0.06935\n0.50 0.28848\n0.75 0.99083\nName: 12025, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2664629241671885, std values: 4.684255421170412, min values: 2.1223e-08, max values: 37.731, median values: 0.17268, and quantile values: 0.25 0.039812\n0.50 0.172680\n0.75 0.683550\nName: 12026, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7184353277207547, std values: 5.0862801612718345, min values: 8.4646e-06, max values: 41.015, median values: 0.29552, and quantile values: 0.25 0.090134\n0.50 0.295520\n0.75 1.110550\nName: 12027, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5109658293584904, std values: 4.968399254300567, min values: 1.9246e-06, max values: 39.768, median values: 0.22809, and quantile values: 0.25 0.060105\n0.50 0.228090\n0.75 0.939735\nName: 12028, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3571619453391823, std values: 4.981475772441297, min values: 1.8447e-07, max values: 43.198, median values: 0.17663, and quantile values: 0.25 0.04376\n0.50 0.17663\n0.75 0.77500\nName: 12029, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2896253286602517, std values: 4.399910270362038, min values: 8.3966e-07, max values: 36.279, median values: 0.16407, and quantile values: 0.25 0.056014\n0.50 0.164070\n0.75 0.733915\nName: 12030, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5183790490167295, std values: 4.7479435946040605, min values: 8.7156e-07, max values: 37.096, median values: 0.2324, and quantile values: 0.25 0.069689\n0.50 0.232400\n0.75 1.002695\nName: 12031, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3197773808559121, std values: 4.881229140394536, min values: 7.0849e-07, max values: 40.704, median values: 0.15846, and quantile values: 0.25 0.050517\n0.50 0.158460\n0.75 0.738270\nName: 12032, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.677959758184277, std values: 5.066357479232484, min values: 4.642e-07, max values: 41.82, median values: 0.27763, and quantile values: 0.25 0.063899\n0.50 0.277630\n0.75 1.126800\nName: 12033, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5262700015320754, std values: 4.921310777687714, min values: 1.7623e-06, max values: 38.997, median values: 0.23935, and quantile values: 0.25 0.072335\n0.50 0.239350\n0.75 0.966105\nName: 12034, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.389260778845912, std values: 4.704368458443129, min values: 8.427e-07, max values: 37.7, median values: 0.18275, and quantile values: 0.25 0.059047\n0.50 0.182750\n0.75 0.797140\nName: 12035, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5468082953371072, std values: 5.07328940096872, min values: 5.5936e-06, max values: 41.481, median values: 0.23457, and quantile values: 0.25 0.070231\n0.50 0.234570\n0.75 0.850110\nName: 12036, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.477759240427673, std values: 4.9740795280645, min values: 1.0052e-06, max values: 40.979, median values: 0.21247, and quantile values: 0.25 0.064201\n0.50 0.212470\n0.75 0.908510\nName: 12037, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.421678838856289, std values: 4.9133057800848, min values: 6.259e-07, max values: 39.671, median values: 0.17781, and quantile values: 0.25 0.04980\n0.50 0.17781\n0.75 0.80209\nName: 12038, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.48761943992956, std values: 4.833617913671254, min values: 2.7667e-06, max values: 39.465, median values: 0.26444, and quantile values: 0.25 0.066608\n0.50 0.264440\n0.75 0.898445\nName: 12039, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.551362209754088, std values: 4.893732383841446, min values: 1.2629e-06, max values: 39.032, median values: 0.23143, and quantile values: 0.25 0.068319\n0.50 0.231430\n0.75 1.007395\nName: 12040, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2986077964644653, std values: 4.856481830324564, min values: 3.8895e-07, max values: 40.865, median values: 0.15814, and quantile values: 0.25 0.050635\n0.50 0.158140\n0.75 0.688445\nName: 12041, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.46969647581195, std values: 5.04090239748104, min values: 1.5467e-06, max values: 41.773, median values: 0.21202, and quantile values: 0.25 0.062247\n0.50 0.212020\n0.75 0.866050\nName: 12042, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3627228588238993, std values: 4.460610063246593, min values: 2.3375e-06, max values: 37.906, median values: 0.21534, and quantile values: 0.25 0.071934\n0.50 0.215340\n0.75 0.771140\nName: 12043, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4695066374339623, std values: 5.040032430498599, min values: 1.2444e-06, max values: 41.52, median values: 0.21632, and quantile values: 0.25 0.063886\n0.50 0.216320\n0.75 0.874885\nName: 12044, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3496013563792455, std values: 4.87379649614922, min values: 1.8406e-06, max values: 39.66, median values: 0.19129, and quantile values: 0.25 0.059117\n0.50 0.191290\n0.75 0.706225\nName: 12045, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3022686623033963, std values: 4.720818490198588, min values: 1.9884e-07, max values: 38.113, median values: 0.18019, and quantile values: 0.25 0.041797\n0.50 0.180190\n0.75 0.658550\nName: 12046, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7308925822352204, std values: 5.167476422955798, min values: 2.1706e-06, max values: 41.369, median values: 0.30762, and quantile values: 0.25 0.084611\n0.50 0.307620\n0.75 1.162150\nName: 12047, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4135310193995596, std values: 4.871321094849759, min values: 3.5753e-07, max values: 39.438, median values: 0.2264, and quantile values: 0.25 0.05571\n0.50 0.22640\n0.75 0.81082\nName: 12048, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.379593072395283, std values: 4.711154251608214, min values: 2.7395e-07, max values: 37.387, median values: 0.20035, and quantile values: 0.25 0.059849\n0.50 0.200350\n0.75 0.842630\nName: 12049, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3861397344817612, std values: 4.9544735158897835, min values: 2.2377e-06, max values: 39.893, median values: 0.19557, and quantile values: 0.25 0.059329\n0.50 0.195570\n0.75 0.799175\nName: 12050, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4685400792666665, std values: 5.175322505070598, min values: 1.3378e-06, max values: 44.349, median values: 0.19708, and quantile values: 0.25 0.057595\n0.50 0.197080\n0.75 0.861695\nName: 12051, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3347396789358492, std values: 4.943581568471192, min values: 1.26e-06, max values: 40.461, median values: 0.18595, and quantile values: 0.25 0.052174\n0.50 0.185950\n0.75 0.763385\nName: 12052, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.553487569881132, std values: 4.94268042690348, min values: 1.4829e-06, max values: 39.757, median values: 0.26003, and quantile values: 0.25 0.073467\n0.50 0.260030\n0.75 1.026100\nName: 12053, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3631928443742765, std values: 4.5319906796863005, min values: 4.9611e-07, max values: 38.053, median values: 0.21727, and quantile values: 0.25 0.054923\n0.50 0.217270\n0.75 0.857130\nName: 12054, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.382881967798742, std values: 4.872920203821202, min values: 1.1507e-06, max values: 39.459, median values: 0.21189, and quantile values: 0.25 0.059514\n0.50 0.211890\n0.75 0.721055\nName: 12055, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.685919701502742, std values: 5.298554752717813, min values: 2.8841e-08, max values: 47.599, median values: 0.23946, and quantile values: 0.25 0.047439\n0.50 0.239460\n0.75 1.064400\nName: 12056, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5751418451461003, std values: 4.946498990796576, min values: 3.1403e-07, max values: 39.784, median values: 0.21352, and quantile values: 0.25 0.057374\n0.50 0.213520\n0.75 0.934185\nName: 12057, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4117011094773584, std values: 4.929577431008648, min values: 1.1723e-06, max values: 40.399, median values: 0.20386, and quantile values: 0.25 0.059716\n0.50 0.203860\n0.75 0.787740\nName: 12058, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5648304154105033, std values: 4.925513668005122, min values: 9.3157e-07, max values: 39.067, median values: 0.23548, and quantile values: 0.25 0.063483\n0.50 0.235480\n0.75 1.071900\nName: 12059, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2757819059652828, std values: 4.787888262866053, min values: 9.8718e-07, max values: 39.015, median values: 0.15788, and quantile values: 0.25 0.052144\n0.50 0.157880\n0.75 0.660115\nName: 12060, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7408700093383647, std values: 5.159454168496272, min values: 2.0046e-06, max values: 41.356, median values: 0.2816, and quantile values: 0.25 0.090148\n0.50 0.281600\n0.75 1.156750\nName: 12061, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3396363053679248, std values: 4.77021793700196, min values: 2.8553e-06, max values: 40.255, median values: 0.19657, and quantile values: 0.25 0.055844\n0.50 0.196570\n0.75 0.740840\nName: 12062, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5337659806867923, std values: 4.978694011016051, min values: 2.4286e-06, max values: 39.92, median values: 0.22763, and quantile values: 0.25 0.07086\n0.50 0.22763\n0.75 0.94096\nName: 12063, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3611966903909436, std values: 4.797847877858087, min values: 2.9858e-07, max values: 39.234, median values: 0.15995, and quantile values: 0.25 0.040217\n0.50 0.159950\n0.75 0.753020\nName: 12064, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.460172624778176, std values: 4.975990979108924, min values: 9.4673e-07, max values: 40.693, median values: 0.19562, and quantile values: 0.25 0.056203\n0.50 0.195620\n0.75 0.874430\nName: 12065, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3539249803157232, std values: 5.1207141814093475, min values: 4.835e-07, max values: 45.2, median values: 0.16363, and quantile values: 0.25 0.048393\n0.50 0.163630\n0.75 0.716895\nName: 12066, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7438553656220128, std values: 5.193010448585657, min values: 5.6689e-06, max values: 40.499, median values: 0.26284, and quantile values: 0.25 0.087415\n0.50 0.262840\n0.75 1.132400\nName: 12067, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4636319916150944, std values: 4.805647291453417, min values: 2.6893e-06, max values: 39.338, median values: 0.27641, and quantile values: 0.25 0.068345\n0.50 0.276410\n0.75 0.902495\nName: 12068, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6510318321628932, std values: 4.954350353794462, min values: 1.489e-06, max values: 38.734, median values: 0.28734, and quantile values: 0.25 0.081564\n0.50 0.287340\n0.75 1.115750\nName: 12069, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3761653364754718, std values: 4.642669093491896, min values: 7.119e-07, max values: 37.951, median values: 0.19364, and quantile values: 0.25 0.063058\n0.50 0.193640\n0.75 0.813645\nName: 12070, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7879677636062894, std values: 5.104337630021231, min values: 5.0248e-06, max values: 40.33, median values: 0.31519, and quantile values: 0.25 0.085113\n0.50 0.315190\n0.75 1.226150\nName: 12071, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6321762162859748, std values: 4.912283021104383, min values: 1.6987e-07, max values: 38.987, median values: 0.23803, and quantile values: 0.25 0.066006\n0.50 0.238030\n0.75 1.104500\nName: 12072, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.285589971481761, std values: 4.66942338202721, min values: 2.2651e-06, max values: 39.555, median values: 0.17926, and quantile values: 0.25 0.054078\n0.50 0.179260\n0.75 0.709260\nName: 12073, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5890123656427673, std values: 5.035563915012932, min values: 4.2441e-06, max values: 39.864, median values: 0.26465, and quantile values: 0.25 0.078082\n0.50 0.264650\n0.75 0.961200\nName: 12074, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5980459193874215, std values: 4.869820018651583, min values: 2.235e-06, max values: 39.74, median values: 0.25371, and quantile values: 0.25 0.071333\n0.50 0.253710\n0.75 1.085850\nName: 12075, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6793172435795598, std values: 4.910964387942433, min values: 6.7945e-07, max values: 37.986, median values: 0.31907, and quantile values: 0.25 0.074866\n0.50 0.319070\n0.75 1.173600\nName: 12076, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4259563153574841, std values: 4.80258777853518, min values: 1.2601e-07, max values: 38.952, median values: 0.21102, and quantile values: 0.25 0.048489\n0.50 0.211020\n0.75 0.778130\nName: 12077, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3438248197732077, std values: 4.898354157207999, min values: 9.8834e-07, max values: 40.178, median values: 0.18035, and quantile values: 0.25 0.061351\n0.50 0.180350\n0.75 0.709765\nName: 12078, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5321993794477986, std values: 4.980205413100564, min values: 3.0983e-06, max values: 40.099, median values: 0.25955, and quantile values: 0.25 0.066214\n0.50 0.259550\n0.75 0.891675\nName: 12079, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3855076861489308, std values: 4.706186036393342, min values: 7.8488e-07, max values: 37.551, median values: 0.23934, and quantile values: 0.25 0.066516\n0.50 0.239340\n0.75 0.798305\nName: 12080, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.323322713507107, std values: 4.806582627135792, min values: 8.3853e-07, max values: 39.091, median values: 0.1818, and quantile values: 0.25 0.054971\n0.50 0.181800\n0.75 0.721135\nName: 12081, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4276467730698112, std values: 4.7886900755792725, min values: 2.7484e-06, max values: 39.722, median values: 0.22091, and quantile values: 0.25 0.068242\n0.50 0.220910\n0.75 0.811525\nName: 12082, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3306118525232704, std values: 4.5398193927475585, min values: 2.1898e-06, max values: 39.399, median values: 0.19963, and quantile values: 0.25 0.062138\n0.50 0.199630\n0.75 0.784190\nName: 12083, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.361521220908805, std values: 4.606060596118885, min values: 5.687e-07, max values: 37.623, median values: 0.22434, and quantile values: 0.25 0.058015\n0.50 0.224340\n0.75 0.795725\nName: 12084, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.489732710725157, std values: 4.968338650901919, min values: 2.8423e-06, max values: 39.933, median values: 0.22967, and quantile values: 0.25 0.06558\n0.50 0.22967\n0.75 0.88915\nName: 12085, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.409761783762264, std values: 4.875673589935332, min values: 1.4534e-06, max values: 38.865, median values: 0.20435, and quantile values: 0.25 0.061009\n0.50 0.204350\n0.75 0.830090\nName: 12086, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4859635129660378, std values: 5.017249968687994, min values: 2.5807e-06, max values: 40.278, median values: 0.23334, and quantile values: 0.25 0.065277\n0.50 0.233340\n0.75 0.848145\nName: 12087, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.484508722337736, std values: 5.181804426796543, min values: 1.1509e-06, max values: 45.008, median values: 0.22441, and quantile values: 0.25 0.061315\n0.50 0.224410\n0.75 0.853185\nName: 12088, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4504531404875156, std values: 4.933070001768338, min values: 2.8315e-08, max values: 41.506, median values: 0.1763, and quantile values: 0.25 0.049702\n0.50 0.176300\n0.75 0.810595\nName: 12089, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.375306675681132, std values: 4.790504201391202, min values: 1.0953e-06, max values: 38.498, median values: 0.20284, and quantile values: 0.25 0.055391\n0.50 0.202840\n0.75 0.776845\nName: 12090, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3068074241088052, std values: 5.025333261702602, min values: 1.6293e-06, max values: 41.762, median values: 0.16362, and quantile values: 0.25 0.047558\n0.50 0.163620\n0.75 0.644055\nName: 12091, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4775226524559748, std values: 4.86475620840306, min values: 1.4202e-06, max values: 38.766, median values: 0.22906, and quantile values: 0.25 0.063093\n0.50 0.229060\n0.75 0.907145\nName: 12092, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5014512083890943, std values: 4.709905606502293, min values: 2.0186e-08, max values: 36.787, median values: 0.20741, and quantile values: 0.25 0.048086\n0.50 0.207410\n0.75 1.021025\nName: 12093, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3805013641948995, std values: 4.825741909982836, min values: 5.8109e-08, max values: 40.052, median values: 0.20324, and quantile values: 0.25 0.045519\n0.50 0.203240\n0.75 0.761390\nName: 12094, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3833571715554085, std values: 4.68638191783538, min values: 5.2061e-07, max values: 37.986, median values: 0.20536, and quantile values: 0.25 0.059288\n0.50 0.205360\n0.75 0.795730\nName: 12095, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5304493782056605, std values: 4.938665264530956, min values: 1.317e-06, max values: 39.674, median values: 0.23213, and quantile values: 0.25 0.070278\n0.50 0.232130\n0.75 0.950260\nName: 12096, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5973620969396227, std values: 5.020813125374257, min values: 1.9303e-06, max values: 39.931, median values: 0.25155, and quantile values: 0.25 0.074306\n0.50 0.251550\n0.75 1.014010\nName: 12097, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.251130935101258, std values: 4.634607387885174, min values: 7.339e-08, max values: 36.978, median values: 0.14735, and quantile values: 0.25 0.035432\n0.50 0.147350\n0.75 0.615100\nName: 12098, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.647011404907547, std values: 5.1229171693882485, min values: 3.2714e-06, max values: 40.82, median values: 0.26094, and quantile values: 0.25 0.074925\n0.50 0.260940\n0.75 1.047600\nName: 12099, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.365886497063522, std values: 4.777560223302351, min values: 2.3939e-06, max values: 40.319, median values: 0.21158, and quantile values: 0.25 0.059534\n0.50 0.211580\n0.75 0.746820\nName: 12100, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4239899691251572, std values: 4.961222007398426, min values: 1.7945e-06, max values: 40.115, median values: 0.18356, and quantile values: 0.25 0.059672\n0.50 0.183560\n0.75 0.810955\nName: 12101, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.176075532002516, std values: 6.2405392982090335, min values: 2.3108e-06, max values: 57.748, median values: 0.39851, and quantile values: 0.25 0.109795\n0.50 0.398510\n0.75 1.568350\nName: 12102, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4374163628283647, std values: 4.955538239961205, min values: 1.9005e-07, max values: 42.203, median values: 0.16683, and quantile values: 0.25 0.046760\n0.50 0.166830\n0.75 0.808295\nName: 12103, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3582208322072955, std values: 4.757948810668631, min values: 1.2996e-07, max values: 38.941, median values: 0.17964, and quantile values: 0.25 0.051992\n0.50 0.179640\n0.75 0.735480\nName: 12104, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4652385717339622, std values: 5.083709153963783, min values: 4.3239e-06, max values: 41.365, median values: 0.19173, and quantile values: 0.25 0.056806\n0.50 0.191730\n0.75 0.793440\nName: 12105, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3698170778832075, std values: 4.755616379385124, min values: 8.2403e-07, max values: 38.96, median values: 0.21023, and quantile values: 0.25 0.050833\n0.50 0.210230\n0.75 0.752800\nName: 12106, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3417278840170441, std values: 4.894173061005169, min values: 8.1261e-07, max values: 41.018, median values: 0.16645, and quantile values: 0.25 0.049577\n0.50 0.166450\n0.75 0.712710\nName: 12107, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.513437111512453, std values: 4.808664695079778, min values: 4.1308e-07, max values: 37.746, median values: 0.25702, and quantile values: 0.25 0.061996\n0.50 0.257020\n0.75 0.968005\nName: 12108, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6047975877711322, std values: 4.964169711389925, min values: 1.1661e-07, max values: 40.149, median values: 0.20548, and quantile values: 0.25 0.054934\n0.50 0.205480\n0.75 0.988940\nName: 12109, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6901674401761009, std values: 5.168977738043101, min values: 6.1968e-06, max values: 40.203, median values: 0.28618, and quantile values: 0.25 0.079836\n0.50 0.286180\n0.75 1.030600\nName: 12110, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7823474853880503, std values: 5.300847990813274, min values: 3.103e-06, max values: 43.435, median values: 0.31327, and quantile values: 0.25 0.090046\n0.50 0.313270\n0.75 1.230800\nName: 12111, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.54357842968239, std values: 4.770606903548661, min values: 1.2781e-06, max values: 37.81, median values: 0.25842, and quantile values: 0.25 0.073149\n0.50 0.258420\n0.75 1.022780\nName: 12112, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2470669689570628, std values: 4.512087791474053, min values: 4.8723e-08, max values: 36.272, median values: 0.15746, and quantile values: 0.25 0.039137\n0.50 0.157460\n0.75 0.657890\nName: 12113, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7309126604793712, std values: 5.58555915586978, min values: 8.2082e-07, max values: 50.819, median values: 0.26256, and quantile values: 0.25 0.076611\n0.50 0.262560\n0.75 1.129000\nName: 12114, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.341939858567862, std values: 4.77345802095268, min values: 5.2229e-07, max values: 38.73, median values: 0.17994, and quantile values: 0.25 0.049767\n0.50 0.179940\n0.75 0.709055\nName: 12115, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.498646319055975, std values: 4.889912665509385, min values: 2.8503e-06, max values: 39.614, median values: 0.22054, and quantile values: 0.25 0.063913\n0.50 0.220540\n0.75 0.903210\nName: 12116, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4443941890489935, std values: 4.7849644199635994, min values: 4.1299e-07, max values: 37.683, median values: 0.18157, and quantile values: 0.25 0.050871\n0.50 0.181570\n0.75 0.853070\nName: 12117, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5400285065305408, std values: 5.064808296620465, min values: 2.2856e-08, max values: 43.387, median values: 0.22016, and quantile values: 0.25 0.062572\n0.50 0.220160\n0.75 0.960690\nName: 12118, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3884262829635219, std values: 4.727282586750907, min values: 1.3036e-06, max values: 39.195, median values: 0.1924, and quantile values: 0.25 0.054292\n0.50 0.192400\n0.75 0.824865\nName: 12119, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6470993550679245, std values: 5.033710386104829, min values: 1.7861e-06, max values: 39.934, median values: 0.27209, and quantile values: 0.25 0.075637\n0.50 0.272090\n0.75 1.122400\nName: 12120, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2619872962496854, std values: 4.678430298664117, min values: 2.146e-06, max values: 39.408, median values: 0.16777, and quantile values: 0.25 0.048638\n0.50 0.167770\n0.75 0.689360\nName: 12121, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6659142767207549, std values: 4.929041333969368, min values: 2.4541e-06, max values: 39.217, median values: 0.28424, and quantile values: 0.25 0.086891\n0.50 0.284240\n0.75 1.105900\nName: 12122, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3612173109455785, std values: 4.69550235855679, min values: 8.0407e-08, max values: 37.882, median values: 0.16531, and quantile values: 0.25 0.03565\n0.50 0.16531\n0.75 0.70316\nName: 12123, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8163572434289312, std values: 5.313668667147226, min values: 5.6121e-06, max values: 41.582, median values: 0.29342, and quantile values: 0.25 0.096525\n0.50 0.293420\n0.75 1.196700\nName: 12124, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.385003551599371, std values: 4.791159177378577, min values: 1.4787e-06, max values: 38.859, median values: 0.19481, and quantile values: 0.25 0.055616\n0.50 0.194810\n0.75 0.777690\nName: 12125, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5711624160343396, std values: 5.022397465348087, min values: 7.9166e-07, max values: 41.451, median values: 0.24148, and quantile values: 0.25 0.069937\n0.50 0.241480\n0.75 1.011975\nName: 12126, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5349394952025786, std values: 4.889164620962269, min values: 2.8301e-07, max values: 38.909, median values: 0.24823, and quantile values: 0.25 0.060965\n0.50 0.248230\n0.75 0.997045\nName: 12127, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5096166018466037, std values: 5.081172512039911, min values: 1.2311e-07, max values: 43.86, median values: 0.23906, and quantile values: 0.25 0.053437\n0.50 0.239060\n0.75 0.909995\nName: 12128, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.65632315233522, std values: 4.887436077814647, min values: 2.2033e-06, max values: 38.106, median values: 0.28586, and quantile values: 0.25 0.095682\n0.50 0.285860\n0.75 1.095700\nName: 12129, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.396837811491195, std values: 5.0012509094145, min values: 1.8998e-06, max values: 41.548, median values: 0.19898, and quantile values: 0.25 0.059871\n0.50 0.198980\n0.75 0.759500\nName: 12130, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3750771777759685, std values: 4.816464990256283, min values: 2.1969e-08, max values: 39.584, median values: 0.17291, and quantile values: 0.25 0.045407\n0.50 0.172910\n0.75 0.725830\nName: 12131, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5335969645503145, std values: 5.140392236838522, min values: 2.3205e-06, max values: 43.031, median values: 0.23858, and quantile values: 0.25 0.069068\n0.50 0.238580\n0.75 0.894170\nName: 12132, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.622284129646541, std values: 5.034490993194406, min values: 2.3465e-06, max values: 39.601, median values: 0.26383, and quantile values: 0.25 0.081432\n0.50 0.263830\n0.75 1.040050\nName: 12133, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5839557631327046, std values: 5.0627635160753615, min values: 3.9023e-06, max values: 40.523, median values: 0.27576, and quantile values: 0.25 0.077822\n0.50 0.275760\n0.75 1.021950\nName: 12134, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4441629066032702, std values: 4.999486149159136, min values: 7.1052e-07, max values: 41.728, median values: 0.21997, and quantile values: 0.25 0.060163\n0.50 0.219970\n0.75 0.882955\nName: 12135, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5188515539691825, std values: 4.778380260718415, min values: 1.3061e-06, max values: 38.464, median values: 0.24388, and quantile values: 0.25 0.061306\n0.50 0.243880\n0.75 0.885980\nName: 12136, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5767309244425847, std values: 4.985312263621559, min values: 2.4951e-08, max values: 42.116, median values: 0.25031, and quantile values: 0.25 0.055350\n0.50 0.250310\n0.75 0.932285\nName: 12137, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4240843003710693, std values: 5.027077784033363, min values: 1.6992e-06, max values: 41.335, median values: 0.20923, and quantile values: 0.25 0.059099\n0.50 0.209230\n0.75 0.856190\nName: 12138, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7649212030656602, std values: 5.078582264763258, min values: 7.4234e-07, max values: 39.629, median values: 0.27107, and quantile values: 0.25 0.073289\n0.50 0.271070\n0.75 1.306450\nName: 12139, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4720804689899372, std values: 5.006723185070514, min values: 2.108e-06, max values: 40.543, median values: 0.21201, and quantile values: 0.25 0.06236\n0.50 0.21201\n0.75 0.85120\nName: 12140, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4592701027345911, std values: 4.793632729101157, min values: 2.3264e-06, max values: 39.092, median values: 0.25593, and quantile values: 0.25 0.069618\n0.50 0.255930\n0.75 0.914905\nName: 12141, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7888599511125787, std values: 5.27581464066737, min values: 2.5066e-06, max values: 42.675, median values: 0.32912, and quantile values: 0.25 0.083197\n0.50 0.329120\n0.75 1.270550\nName: 12142, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4218482486484278, std values: 4.882556197726889, min values: 2.6697e-06, max values: 39.613, median values: 0.20135, and quantile values: 0.25 0.062080\n0.50 0.201350\n0.75 0.834725\nName: 12143, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5294092664559746, std values: 5.3148462369693865, min values: 2.9266e-06, max values: 46.059, median values: 0.21965, and quantile values: 0.25 0.070988\n0.50 0.219650\n0.75 0.883490\nName: 12144, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.667582547947478, std values: 5.1279138928962755, min values: 3.0099e-08, max values: 43.584, median values: 0.27561, and quantile values: 0.25 0.058267\n0.50 0.275610\n0.75 1.090000\nName: 12145, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5376952507480501, std values: 4.948036453140309, min values: 2.539e-08, max values: 41.706, median values: 0.23867, and quantile values: 0.25 0.049371\n0.50 0.238670\n0.75 0.915045\nName: 12146, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3070109871528302, std values: 4.726018513258178, min values: 1.7813e-06, max values: 39.862, median values: 0.18189, and quantile values: 0.25 0.051363\n0.50 0.181890\n0.75 0.696460\nName: 12147, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5708386732641508, std values: 5.086114000557739, min values: 2.4452e-06, max values: 40.983, median values: 0.23543, and quantile values: 0.25 0.069093\n0.50 0.235430\n0.75 0.987645\nName: 12148, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4830445090830189, std values: 4.6762604699705905, min values: 1.5577e-06, max values: 38.493, median values: 0.23522, and quantile values: 0.25 0.071758\n0.50 0.235220\n0.75 0.993865\nName: 12149, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2800811382994968, std values: 4.6039377412326035, min values: 2.28e-08, max values: 37.388, median values: 0.15884, and quantile values: 0.25 0.047577\n0.50 0.158840\n0.75 0.678945\nName: 12150, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6752941019408805, std values: 5.028220543662369, min values: 1.0845e-06, max values: 39.992, median values: 0.29849, and quantile values: 0.25 0.073549\n0.50 0.298490\n0.75 1.166400\nName: 12151, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5348407333488112, std values: 4.831502680485376, min values: 2.0561e-08, max values: 37.9, median values: 0.22082, and quantile values: 0.25 0.055877\n0.50 0.220820\n0.75 1.012915\nName: 12152, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3919481340398743, std values: 4.698158066068682, min values: 6.0024e-07, max values: 38.322, median values: 0.21137, and quantile values: 0.25 0.057362\n0.50 0.211370\n0.75 0.813005\nName: 12153, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3165807926968556, std values: 4.7458374920827495, min values: 1.0497e-06, max values: 39.012, median values: 0.1694, and quantile values: 0.25 0.055797\n0.50 0.169400\n0.75 0.716950\nName: 12154, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.490257998178742, std values: 4.908084022075613, min values: 3.8832e-07, max values: 39.915, median values: 0.19163, and quantile values: 0.25 0.051334\n0.50 0.191630\n0.75 0.919410\nName: 12155, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5181874919289309, std values: 5.011461003779685, min values: 2.607e-06, max values: 40.555, median values: 0.2693, and quantile values: 0.25 0.063842\n0.50 0.269300\n0.75 0.953075\nName: 12156, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.537886115949497, std values: 5.0828282047706335, min values: 7.6147e-07, max values: 42.905, median values: 0.22898, and quantile values: 0.25 0.067772\n0.50 0.228980\n0.75 0.951185\nName: 12157, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3933259699886793, std values: 5.0149873498534525, min values: 2.5138e-06, max values: 41.437, median values: 0.19412, and quantile values: 0.25 0.064879\n0.50 0.194120\n0.75 0.781275\nName: 12158, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6902438517578615, std values: 5.21693565998388, min values: 3.6521e-06, max values: 43.196, median values: 0.28485, and quantile values: 0.25 0.075544\n0.50 0.284850\n0.75 1.135350\nName: 12159, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6244185268515725, std values: 4.970595468333073, min values: 2.5055e-06, max values: 39.426, median values: 0.26519, and quantile values: 0.25 0.07743\n0.50 0.26519\n0.75 1.07495\nName: 12160, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.588638824490566, std values: 5.3424964845456655, min values: 1.5142e-06, max values: 46.503, median values: 0.26288, and quantile values: 0.25 0.068025\n0.50 0.262880\n0.75 0.961200\nName: 12161, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6012246652766668, std values: 5.011181711780709, min values: 9.2189e-07, max values: 41.009, median values: 0.27144, and quantile values: 0.25 0.071757\n0.50 0.271440\n0.75 1.050000\nName: 12162, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6248743073371066, std values: 5.12189229154591, min values: 1.0676e-06, max values: 42.442, median values: 0.25357, and quantile values: 0.25 0.065362\n0.50 0.253570\n0.75 1.066950\nName: 12163, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.412560294854088, std values: 4.80124864529718, min values: 1.5976e-06, max values: 39.66, median values: 0.20139, and quantile values: 0.25 0.061828\n0.50 0.201390\n0.75 0.809640\nName: 12164, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4903807171328929, std values: 4.669252341616361, min values: 3.5233e-07, max values: 37.309, median values: 0.22628, and quantile values: 0.25 0.067046\n0.50 0.226280\n0.75 0.976830\nName: 12165, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.598434454818239, std values: 5.206120615467152, min values: 4.5695e-06, max values: 42.134, median values: 0.25589, and quantile values: 0.25 0.070640\n0.50 0.255890\n0.75 0.884515\nName: 12166, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3061288693515722, std values: 4.862839878688192, min values: 1.4844e-06, max values: 39.117, median values: 0.17641, and quantile values: 0.25 0.052225\n0.50 0.176410\n0.75 0.690695\nName: 12167, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3840243209825156, std values: 4.85734415553604, min values: 4.3942e-07, max values: 39.83, median values: 0.18814, and quantile values: 0.25 0.049471\n0.50 0.188140\n0.75 0.725880\nName: 12168, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4888758705081764, std values: 4.609671326584601, min values: 1.1753e-06, max values: 36.613, median values: 0.24561, and quantile values: 0.25 0.070708\n0.50 0.245610\n0.75 0.931520\nName: 12169, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5352058787653964, std values: 4.879253974530201, min values: 2.6768e-08, max values: 39.78, median values: 0.17696, and quantile values: 0.25 0.051566\n0.50 0.176960\n0.75 0.967665\nName: 12170, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3160564657704403, std values: 4.71741081210203, min values: 2.5889e-06, max values: 38.788, median values: 0.18168, and quantile values: 0.25 0.056012\n0.50 0.181680\n0.75 0.676870\nName: 12171, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.78878538395912, std values: 5.256911001681374, min values: 2.8092e-06, max values: 42.506, median values: 0.3172, and quantile values: 0.25 0.07847\n0.50 0.31720\n0.75 1.28500\nName: 12172, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4174989646408804, std values: 4.649082909951469, min values: 6.473e-07, max values: 36.337, median values: 0.18144, and quantile values: 0.25 0.055771\n0.50 0.181440\n0.75 0.840615\nName: 12173, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2062903075878866, std values: 4.505394374346551, min values: 1.7006e-08, max values: 35.87, median values: 0.11257, and quantile values: 0.25 0.030474\n0.50 0.112570\n0.75 0.585075\nName: 12174, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2222032390942137, std values: 4.595469687604902, min values: 1.5411e-07, max values: 36.83, median values: 0.15763, and quantile values: 0.25 0.040998\n0.50 0.157630\n0.75 0.624985\nName: 12175, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5266493405623902, std values: 5.199374772981047, min values: 9.8512e-07, max values: 45.058, median values: 0.22275, and quantile values: 0.25 0.068496\n0.50 0.222750\n0.75 0.935235\nName: 12176, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.552507341595849, std values: 5.180232221695947, min values: 7.4174e-07, max values: 44.482, median values: 0.23048, and quantile values: 0.25 0.058526\n0.50 0.230480\n0.75 0.950530\nName: 12177, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.370959270189434, std values: 4.745411614601162, min values: 5.1602e-07, max values: 38.315, median values: 0.20874, and quantile values: 0.25 0.060395\n0.50 0.208740\n0.75 0.776035\nName: 12178, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7779128828276731, std values: 5.271566994031096, min values: 4.5365e-06, max values: 41.422, median values: 0.30868, and quantile values: 0.25 0.08876\n0.50 0.30868\n0.75 1.15070\nName: 12179, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3427746240867924, std values: 5.190477138612625, min values: 1.9894e-06, max values: 45.184, median values: 0.18128, and quantile values: 0.25 0.058908\n0.50 0.181280\n0.75 0.702725\nName: 12180, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6509743724861634, std values: 5.282387356314888, min values: 2.6255e-06, max values: 44.304, median values: 0.23905, and quantile values: 0.25 0.081327\n0.50 0.239050\n0.75 1.046300\nName: 12181, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3775907840584907, std values: 4.790091350494504, min values: 5.517e-07, max values: 38.712, median values: 0.16347, and quantile values: 0.25 0.050174\n0.50 0.163470\n0.75 0.751795\nName: 12182, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4538498034874212, std values: 4.776144300461959, min values: 1.8089e-06, max values: 39.709, median values: 0.21346, and quantile values: 0.25 0.065896\n0.50 0.213460\n0.75 0.911435\nName: 12183, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.59226067146478, std values: 5.023541062293361, min values: 2.3267e-06, max values: 39.783, median values: 0.24728, and quantile values: 0.25 0.073818\n0.50 0.247280\n0.75 1.011650\nName: 12184, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5245109293938361, std values: 4.620967990246352, min values: 5.7762e-07, max values: 37.195, median values: 0.24533, and quantile values: 0.25 0.066078\n0.50 0.245330\n0.75 0.985545\nName: 12185, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4633212971213836, std values: 5.21086272471783, min values: 2.1661e-06, max values: 44.008, median values: 0.21439, and quantile values: 0.25 0.051422\n0.50 0.214390\n0.75 0.854125\nName: 12186, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5155872596584903, std values: 5.448065099083263, min values: 3.5698e-06, max values: 47.036, median values: 0.21529, and quantile values: 0.25 0.059092\n0.50 0.215290\n0.75 0.762400\nName: 12187, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3334402856031446, std values: 4.738606012495287, min values: 6.348e-07, max values: 37.927, median values: 0.18401, and quantile values: 0.25 0.053670\n0.50 0.184010\n0.75 0.719205\nName: 12188, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4397207517322452, std values: 4.555440762891338, min values: 3.0887e-08, max values: 35.899, median values: 0.20951, and quantile values: 0.25 0.041139\n0.50 0.209510\n0.75 0.917400\nName: 12189, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.380198180064151, std values: 4.5636902145958365, min values: 1.3533e-06, max values: 37.977, median values: 0.21967, and quantile values: 0.25 0.065986\n0.50 0.219670\n0.75 0.830590\nName: 12190, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.728374715201887, std values: 5.279790075821721, min values: 1.2413e-06, max values: 44.912, median values: 0.27643, and quantile values: 0.25 0.072566\n0.50 0.276430\n0.75 1.220700\nName: 12191, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3988849578251572, std values: 4.804777089129398, min values: 2.8029e-06, max values: 39.529, median values: 0.19589, and quantile values: 0.25 0.057481\n0.50 0.195890\n0.75 0.768365\nName: 12192, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5853782801861636, std values: 4.982860604236898, min values: 1.3788e-06, max values: 39.19, median values: 0.23726, and quantile values: 0.25 0.071673\n0.50 0.237260\n0.75 1.038450\nName: 12193, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.453226002081698, std values: 4.857161019196861, min values: 8.8399e-07, max values: 38.849, median values: 0.22094, and quantile values: 0.25 0.065905\n0.50 0.220940\n0.75 0.824820\nName: 12194, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3928503380378618, std values: 4.83728642036139, min values: 3.2712e-07, max values: 39.695, median values: 0.19453, and quantile values: 0.25 0.051310\n0.50 0.194530\n0.75 0.776455\nName: 12195, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4198900662089495, std values: 4.80729550466952, min values: 6.2423e-08, max values: 38.183, median values: 0.20501, and quantile values: 0.25 0.050097\n0.50 0.205010\n0.75 0.828220\nName: 12196, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.328682388789937, std values: 4.72637981941973, min values: 2.5934e-06, max values: 39.322, median values: 0.19301, and quantile values: 0.25 0.054853\n0.50 0.193010\n0.75 0.714290\nName: 12197, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4870728880255344, std values: 4.859669687181201, min values: 8.3946e-07, max values: 38.635, median values: 0.20978, and quantile values: 0.25 0.060688\n0.50 0.209780\n0.75 0.926435\nName: 12198, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.529030616799371, std values: 4.785074346978767, min values: 2.5996e-06, max values: 38.925, median values: 0.2741, and quantile values: 0.25 0.071123\n0.50 0.274100\n0.75 1.023000\nName: 12199, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.562349090480503, std values: 4.825482341481652, min values: 1.7906e-06, max values: 37.75, median values: 0.28122, and quantile values: 0.25 0.078915\n0.50 0.281220\n0.75 0.984770\nName: 12200, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4026002039320755, std values: 4.878544540180133, min values: 1.2075e-06, max values: 39.389, median values: 0.22173, and quantile values: 0.25 0.068782\n0.50 0.221730\n0.75 0.817775\nName: 12201, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5973377742924528, std values: 5.231542899998241, min values: 1.2892e-06, max values: 44.722, median values: 0.2241, and quantile values: 0.25 0.068554\n0.50 0.224100\n0.75 0.984360\nName: 12202, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7277312304792456, std values: 5.3605213322950656, min values: 4.0395e-06, max values: 44.042, median values: 0.27234, and quantile values: 0.25 0.079572\n0.50 0.272340\n0.75 1.068000\nName: 12203, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.424189199227673, std values: 4.948523035730234, min values: 1.8438e-06, max values: 39.804, median values: 0.22472, and quantile values: 0.25 0.061142\n0.50 0.224720\n0.75 0.818850\nName: 12204, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.679198929090566, std values: 5.219941017779404, min values: 2.2448e-06, max values: 42.692, median values: 0.26779, and quantile values: 0.25 0.075561\n0.50 0.267790\n0.75 1.128350\nName: 12205, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.606335009672327, std values: 4.94724635729628, min values: 1.9418e-06, max values: 39.549, median values: 0.25981, and quantile values: 0.25 0.072591\n0.50 0.259810\n0.75 1.099150\nName: 12206, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.480694575020755, std values: 5.1832979696985815, min values: 2.2512e-06, max values: 43.946, median values: 0.22539, and quantile values: 0.25 0.059249\n0.50 0.225390\n0.75 0.938300\nName: 12207, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4665443495345911, std values: 4.77731962100379, min values: 3.9854e-07, max values: 38.341, median values: 0.22937, and quantile values: 0.25 0.053853\n0.50 0.229370\n0.75 0.903025\nName: 12208, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.488440061759623, std values: 4.6441642467573985, min values: 2.8102e-07, max values: 36.456, median values: 0.19874, and quantile values: 0.25 0.051573\n0.50 0.198740\n0.75 0.965790\nName: 12209, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2336376030919498, std values: 4.549881845729867, min values: 6.9602e-07, max values: 38.14, median values: 0.16673, and quantile values: 0.25 0.047035\n0.50 0.166730\n0.75 0.621240\nName: 12210, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5890788144930819, std values: 5.038433107388226, min values: 3.4935e-06, max values: 39.983, median values: 0.23559, and quantile values: 0.25 0.073786\n0.50 0.235590\n0.75 0.970220\nName: 12211, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6837575354283019, std values: 5.093831380393778, min values: 1.085e-06, max values: 40.452, median values: 0.26776, and quantile values: 0.25 0.069254\n0.50 0.267760\n0.75 1.178900\nName: 12212, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.631318671501258, std values: 5.026972616739588, min values: 1.437e-06, max values: 40.74, median values: 0.28192, and quantile values: 0.25 0.071573\n0.50 0.281920\n0.75 1.121950\nName: 12213, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.342243970359541, std values: 4.805116713898639, min values: 2.4137e-08, max values: 40.588, median values: 0.17894, and quantile values: 0.25 0.038269\n0.50 0.178940\n0.75 0.718465\nName: 12214, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4880131433451573, std values: 4.832073375589468, min values: 7.8848e-07, max values: 38.299, median values: 0.2126, and quantile values: 0.25 0.054861\n0.50 0.212600\n0.75 0.909760\nName: 12215, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4879121827742139, std values: 4.798876609470146, min values: 3.0988e-06, max values: 40.076, median values: 0.22473, and quantile values: 0.25 0.074329\n0.50 0.224730\n0.75 0.896710\nName: 12216, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3012830895670442, std values: 4.7048602095963306, min values: 3.3006e-07, max values: 38.521, median values: 0.1658, and quantile values: 0.25 0.047976\n0.50 0.165800\n0.75 0.722145\nName: 12217, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4127811621490562, std values: 4.9643149340149755, min values: 2.3436e-06, max values: 40.298, median values: 0.20381, and quantile values: 0.25 0.060946\n0.50 0.203810\n0.75 0.843360\nName: 12218, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3657503219845284, std values: 4.649975361437092, min values: 3.5044e-07, max values: 36.579, median values: 0.18834, and quantile values: 0.25 0.055098\n0.50 0.188340\n0.75 0.835470\nName: 12219, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2435152773045284, std values: 4.976786469897752, min values: 3.132e-08, max values: 43.12, median values: 0.14559, and quantile values: 0.25 0.039020\n0.50 0.145590\n0.75 0.649095\nName: 12220, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.545245108446541, std values: 5.319210876814278, min values: 6.7983e-06, max values: 42.329, median values: 0.22883, and quantile values: 0.25 0.060369\n0.50 0.228830\n0.75 0.750600\nName: 12221, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.671659972443396, std values: 5.391511056730409, min values: 1.4217e-06, max values: 46.846, median values: 0.25151, and quantile values: 0.25 0.067763\n0.50 0.251510\n0.75 1.049350\nName: 12222, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.600477213438365, std values: 5.173615321448812, min values: 3.2725e-06, max values: 41.451, median values: 0.24822, and quantile values: 0.25 0.076925\n0.50 0.248220\n0.75 0.985815\nName: 12223, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4663259199031446, std values: 4.988240753432895, min values: 1.7453e-06, max values: 40.512, median values: 0.20534, and quantile values: 0.25 0.062862\n0.50 0.205340\n0.75 0.909475\nName: 12224, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.32373151571761, std values: 4.651817995212169, min values: 1.9405e-06, max values: 38.854, median values: 0.20181, and quantile values: 0.25 0.05681\n0.50 0.20181\n0.75 0.70662\nName: 12225, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7847795138150941, std values: 5.055442147384465, min values: 2.3259e-06, max values: 39.172, median values: 0.3355, and quantile values: 0.25 0.098145\n0.50 0.335500\n0.75 1.279800\nName: 12226, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5329154398949685, std values: 5.03524002150745, min values: 2.007e-06, max values: 40.397, median values: 0.25623, and quantile values: 0.25 0.067587\n0.50 0.256230\n0.75 0.995800\nName: 12227, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6061017486924527, std values: 4.667169918234194, min values: 1.1556e-06, max values: 37.303, median values: 0.27769, and quantile values: 0.25 0.075813\n0.50 0.277690\n0.75 1.104050\nName: 12228, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3532344551683646, std values: 4.619991616964657, min values: 3.4297e-07, max values: 37.774, median values: 0.21227, and quantile values: 0.25 0.054365\n0.50 0.212270\n0.75 0.825400\nName: 12229, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8947404508705659, std values: 5.199312997191078, min values: 9.7142e-07, max values: 40.7, median values: 0.33137, and quantile values: 0.25 0.090311\n0.50 0.331370\n0.75 1.351950\nName: 12230, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6139877437520755, std values: 5.171200229379594, min values: 8.5188e-07, max values: 43.733, median values: 0.25463, and quantile values: 0.25 0.069533\n0.50 0.254630\n0.75 0.993720\nName: 12231, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6420927835636479, std values: 5.147077283259113, min values: 2.3462e-07, max values: 43.01, median values: 0.27312, and quantile values: 0.25 0.06321\n0.50 0.27312\n0.75 1.08130\nName: 12232, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4362937520308177, std values: 4.767242913401875, min values: 6.259e-07, max values: 38.244, median values: 0.22639, and quantile values: 0.25 0.063434\n0.50 0.226390\n0.75 0.859195\nName: 12233, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3581368904766664, std values: 5.109696572173953, min values: 9.0689e-07, max values: 44.5, median values: 0.17555, and quantile values: 0.25 0.050567\n0.50 0.175550\n0.75 0.706250\nName: 12234, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3821383691600002, std values: 4.783426905761039, min values: 4.5614e-07, max values: 39.071, median values: 0.20785, and quantile values: 0.25 0.057701\n0.50 0.207850\n0.75 0.806370\nName: 12235, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3750507001238996, std values: 4.718385091457613, min values: 1.9448e-06, max values: 39.701, median values: 0.22421, and quantile values: 0.25 0.060847\n0.50 0.224210\n0.75 0.792060\nName: 12236, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6214056496938996, std values: 4.984777654420955, min values: 1.0351e-07, max values: 40.598, median values: 0.21281, and quantile values: 0.25 0.052554\n0.50 0.212810\n0.75 1.013750\nName: 12237, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9247621848132075, std values: 5.404843021215845, min values: 6.7553e-06, max values: 41.326, median values: 0.37368, and quantile values: 0.25 0.098428\n0.50 0.373680\n0.75 1.257200\nName: 12238, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2535902229851572, std values: 4.748609434909343, min values: 9.0904e-07, max values: 38.254, median values: 0.16647, and quantile values: 0.25 0.052699\n0.50 0.166470\n0.75 0.676040\nName: 12239, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5010591523289936, std values: 4.752312500561953, min values: 3.9691e-07, max values: 37.754, median values: 0.25148, and quantile values: 0.25 0.062888\n0.50 0.251480\n0.75 0.898635\nName: 12240, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6351730518639624, std values: 5.1016828639611695, min values: 3.8817e-07, max values: 42.528, median values: 0.25184, and quantile values: 0.25 0.062553\n0.50 0.251840\n0.75 1.110650\nName: 12241, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.261478446414717, std values: 4.634627032716136, min values: 4.556e-07, max values: 37.218, median values: 0.14572, and quantile values: 0.25 0.041792\n0.50 0.145720\n0.75 0.621990\nName: 12242, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6267321674628932, std values: 5.0392084357172715, min values: 3.9258e-06, max values: 39.664, median values: 0.27421, and quantile values: 0.25 0.084312\n0.50 0.274210\n0.75 1.046480\nName: 12243, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5048271037654088, std values: 4.960562886951931, min values: 4.4747e-06, max values: 40.074, median values: 0.24196, and quantile values: 0.25 0.069074\n0.50 0.241960\n0.75 0.904880\nName: 12244, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.352486020845283, std values: 4.885681503300864, min values: 1.3765e-06, max values: 39.235, median values: 0.16853, and quantile values: 0.25 0.052362\n0.50 0.168530\n0.75 0.738375\nName: 12245, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5516400771842767, std values: 4.89178853440862, min values: 1.001e-06, max values: 39.128, median values: 0.2546, and quantile values: 0.25 0.066134\n0.50 0.254600\n0.75 0.981825\nName: 12246, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4358392459484277, std values: 5.054572988714917, min values: 8.552e-07, max values: 42.865, median values: 0.18149, and quantile values: 0.25 0.058914\n0.50 0.181490\n0.75 0.814340\nName: 12247, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6052335421415096, std values: 5.033396693377519, min values: 3.9516e-06, max values: 40.095, median values: 0.27357, and quantile values: 0.25 0.077744\n0.50 0.273570\n0.75 0.998130\nName: 12248, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3811833278515722, std values: 4.791537484506854, min values: 2.1993e-06, max values: 39.352, median values: 0.22728, and quantile values: 0.25 0.066513\n0.50 0.227280\n0.75 0.824125\nName: 12249, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2804033650138364, std values: 4.821594865918368, min values: 1.3524e-06, max values: 39.317, median values: 0.15876, and quantile values: 0.25 0.050794\n0.50 0.158760\n0.75 0.660105\nName: 12250, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7154810801805034, std values: 5.176571079314886, min values: 4.2703e-06, max values: 41.018, median values: 0.30287, and quantile values: 0.25 0.079772\n0.50 0.302870\n0.75 1.127600\nName: 12251, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3104606574674216, std values: 4.646254606477249, min values: 2.7208e-07, max values: 37.048, median values: 0.17172, and quantile values: 0.25 0.049434\n0.50 0.171720\n0.75 0.681700\nName: 12252, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8219294332767297, std values: 5.222653289199107, min values: 4.0409e-06, max values: 40.42, median values: 0.32538, and quantile values: 0.25 0.089664\n0.50 0.325380\n0.75 1.279150\nName: 12253, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.589855603257862, std values: 4.970123591991988, min values: 2.8104e-06, max values: 39.496, median values: 0.22961, and quantile values: 0.25 0.067943\n0.50 0.229610\n0.75 0.978295\nName: 12254, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5347781679162893, std values: 5.197604787265023, min values: 9.2629e-07, max values: 45.853, median values: 0.21264, and quantile values: 0.25 0.064216\n0.50 0.212640\n0.75 0.975435\nName: 12255, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.498250800525786, std values: 4.847114018663478, min values: 1.5944e-06, max values: 38.443, median values: 0.23168, and quantile values: 0.25 0.061158\n0.50 0.231680\n0.75 0.970475\nName: 12256, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4462798102446541, std values: 4.964350548778468, min values: 1.7426e-06, max values: 39.796, median values: 0.19802, and quantile values: 0.25 0.058472\n0.50 0.198020\n0.75 0.847575\nName: 12257, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4557540889097798, std values: 4.751301868719435, min values: 3.6365e-08, max values: 38.044, median values: 0.18935, and quantile values: 0.25 0.052016\n0.50 0.189350\n0.75 0.960335\nName: 12258, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7329278630660376, std values: 4.796789133624084, min values: 2.4693e-06, max values: 38.414, median values: 0.30059, and quantile values: 0.25 0.085426\n0.50 0.300590\n0.75 1.215650\nName: 12259, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3649280790473584, std values: 4.573869236212858, min values: 2.6519e-07, max values: 36.822, median values: 0.15798, and quantile values: 0.25 0.045604\n0.50 0.157980\n0.75 0.797670\nName: 12260, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5273021096739623, std values: 4.777125140604113, min values: 9.5336e-07, max values: 38.22, median values: 0.26042, and quantile values: 0.25 0.062508\n0.50 0.260420\n0.75 1.006200\nName: 12261, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4910481560050315, std values: 4.80793707116737, min values: 2.4691e-06, max values: 39.419, median values: 0.2404, and quantile values: 0.25 0.080949\n0.50 0.240400\n0.75 0.873480\nName: 12262, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4782056996566038, std values: 4.854028228303638, min values: 1.495e-06, max values: 39.114, median values: 0.22536, and quantile values: 0.25 0.061141\n0.50 0.225360\n0.75 0.880235\nName: 12263, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4684664431735848, std values: 4.796915775152899, min values: 1.1861e-06, max values: 38.535, median values: 0.19837, and quantile values: 0.25 0.064036\n0.50 0.198370\n0.75 0.905525\nName: 12264, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3429802918480502, std values: 4.675359152941654, min values: 3.2554e-07, max values: 38.364, median values: 0.15646, and quantile values: 0.25 0.042803\n0.50 0.156460\n0.75 0.772420\nName: 12265, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4676849295144654, std values: 4.685639293852542, min values: 1.9967e-06, max values: 38.752, median values: 0.23403, and quantile values: 0.25 0.064577\n0.50 0.234030\n0.75 0.949600\nName: 12266, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.43078754067044, std values: 4.905290808157114, min values: 2.338e-06, max values: 39.421, median values: 0.22486, and quantile values: 0.25 0.066654\n0.50 0.224860\n0.75 0.824730\nName: 12267, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.685248746816981, std values: 5.1589693131403624, min values: 3.1225e-06, max values: 40.955, median values: 0.274, and quantile values: 0.25 0.081731\n0.50 0.274000\n0.75 1.118550\nName: 12268, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6491809890886793, std values: 5.454208927389718, min values: 4.6611e-06, max values: 47.107, median values: 0.23993, and quantile values: 0.25 0.079476\n0.50 0.239930\n0.75 0.935910\nName: 12269, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5190984322746541, std values: 4.837572121460025, min values: 8.0397e-07, max values: 38.311, median values: 0.26876, and quantile values: 0.25 0.068725\n0.50 0.268760\n0.75 1.012795\nName: 12270, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6875350943144654, std values: 5.097545175873716, min values: 3.2682e-06, max values: 39.969, median values: 0.27579, and quantile values: 0.25 0.077994\n0.50 0.275790\n0.75 1.143000\nName: 12271, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5721396152132077, std values: 5.048466315634409, min values: 3.635e-06, max values: 39.886, median values: 0.24397, and quantile values: 0.25 0.067800\n0.50 0.243970\n0.75 0.933995\nName: 12272, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4588073481328931, std values: 4.693749634651404, min values: 2.3263e-07, max values: 38.111, median values: 0.24815, and quantile values: 0.25 0.066782\n0.50 0.248150\n0.75 0.924985\nName: 12273, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2352554366004405, std values: 4.599210501758727, min values: 2.2293e-07, max values: 36.777, median values: 0.11746, and quantile values: 0.25 0.035248\n0.50 0.117460\n0.75 0.589115\nName: 12274, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.626546327373585, std values: 4.976969653168528, min values: 1.9116e-06, max values: 39.475, median values: 0.25748, and quantile values: 0.25 0.072289\n0.50 0.257480\n0.75 1.125400\nName: 12275, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4642296690968553, std values: 5.0003513772690535, min values: 1.1591e-06, max values: 40.405, median values: 0.19049, and quantile values: 0.25 0.054013\n0.50 0.190490\n0.75 0.858110\nName: 12276, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5560092642819496, std values: 5.14818255409142, min values: 6.1273e-07, max values: 44.817, median values: 0.23863, and quantile values: 0.25 0.065851\n0.50 0.238630\n0.75 0.953340\nName: 12277, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6086947159767295, std values: 4.926572562900641, min values: 2.13e-06, max values: 39.602, median values: 0.2529, and quantile values: 0.25 0.080231\n0.50 0.252900\n0.75 1.002545\nName: 12278, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5672783350974844, std values: 4.9530972892998015, min values: 5.8925e-06, max values: 41.398, median values: 0.24609, and quantile values: 0.25 0.080645\n0.50 0.246090\n0.75 0.896325\nName: 12279, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3570768158652198, std values: 4.476487597557467, min values: 8.2947e-07, max values: 37.863, median values: 0.20922, and quantile values: 0.25 0.058583\n0.50 0.209220\n0.75 0.800675\nName: 12280, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6930632584245286, std values: 4.899991331281426, min values: 2.5113e-06, max values: 39.005, median values: 0.30799, and quantile values: 0.25 0.079555\n0.50 0.307990\n0.75 1.171150\nName: 12281, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7251560820616352, std values: 5.097688658843702, min values: 1.0524e-06, max values: 40.997, median values: 0.31199, and quantile values: 0.25 0.071118\n0.50 0.311990\n0.75 1.199050\nName: 12282, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4102369227484277, std values: 4.886453419846943, min values: 1.8571e-06, max values: 39.45, median values: 0.21934, and quantile values: 0.25 0.061472\n0.50 0.219340\n0.75 0.761625\nName: 12283, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5547475307610064, std values: 4.952235002006052, min values: 2.8641e-06, max values: 38.997, median values: 0.28136, and quantile values: 0.25 0.077110\n0.50 0.281360\n0.75 0.879005\nName: 12284, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3979314865817607, std values: 4.813410001466844, min values: 1.8616e-06, max values: 38.831, median values: 0.22064, and quantile values: 0.25 0.066426\n0.50 0.220640\n0.75 0.831500\nName: 12285, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5028263384383647, std values: 4.864229776897139, min values: 2.5192e-06, max values: 39.699, median values: 0.26276, and quantile values: 0.25 0.061172\n0.50 0.262760\n0.75 0.933005\nName: 12286, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.50707981477761, std values: 4.974397263565398, min values: 8.0824e-07, max values: 41.002, median values: 0.22906, and quantile values: 0.25 0.060567\n0.50 0.229060\n0.75 0.968080\nName: 12287, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.756300097019497, std values: 5.061629115533236, min values: 1.1583e-06, max values: 39.727, median values: 0.31153, and quantile values: 0.25 0.078144\n0.50 0.311530\n0.75 1.206150\nName: 12288, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.526262804481132, std values: 5.000725463771858, min values: 2.0594e-06, max values: 39.978, median values: 0.21524, and quantile values: 0.25 0.066864\n0.50 0.215240\n0.75 0.930100\nName: 12289, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6735298069352205, std values: 5.2008949840864815, min values: 1.4874e-06, max values: 43.599, median values: 0.28163, and quantile values: 0.25 0.072057\n0.50 0.281630\n0.75 1.152850\nName: 12290, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3001778561197486, std values: 4.778059620481439, min values: 2.2054e-07, max values: 39.206, median values: 0.16651, and quantile values: 0.25 0.047038\n0.50 0.166510\n0.75 0.663190\nName: 12291, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6511815013152202, std values: 5.00510390417685, min values: 4.6692e-07, max values: 40.279, median values: 0.22933, and quantile values: 0.25 0.062169\n0.50 0.229330\n0.75 1.065650\nName: 12292, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3587123855706982, std values: 5.110352321410133, min values: 1.9621e-08, max values: 45.188, median values: 0.15846, and quantile values: 0.25 0.044823\n0.50 0.158460\n0.75 0.688460\nName: 12293, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5118128122327046, std values: 4.81381272440959, min values: 1.5674e-06, max values: 38.279, median values: 0.24517, and quantile values: 0.25 0.064280\n0.50 0.245170\n0.75 0.923625\nName: 12294, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8389112617477987, std values: 5.436200394095197, min values: 2.0639e-06, max values: 45.874, median values: 0.30345, and quantile values: 0.25 0.07705\n0.50 0.30345\n0.75 1.31930\nName: 12295, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5118008580949684, std values: 5.236264363530911, min values: 3.8103e-06, max values: 42.701, median values: 0.22205, and quantile values: 0.25 0.062072\n0.50 0.222050\n0.75 0.863465\nName: 12296, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.463894488, std values: 5.1108220870766825, min values: 2.5873e-06, max values: 42.52, median values: 0.21442, and quantile values: 0.25 0.06100\n0.50 0.21442\n0.75 0.84755\nName: 12297, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3344844414377357, std values: 4.654464977467012, min values: 1.7284e-06, max values: 39.187, median values: 0.21664, and quantile values: 0.25 0.059172\n0.50 0.216640\n0.75 0.770575\nName: 12298, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6886296610660376, std values: 5.14863660784281, min values: 4.7777e-06, max values: 40.944, median values: 0.296, and quantile values: 0.25 0.075566\n0.50 0.296000\n0.75 1.082895\nName: 12299, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.409569322640522, std values: 4.890168883700592, min values: 2.8263e-08, max values: 41.641, median values: 0.20545, and quantile values: 0.25 0.046634\n0.50 0.205450\n0.75 0.764710\nName: 12300, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.513411824707547, std values: 4.81346507793036, min values: 2.3275e-06, max values: 39.285, median values: 0.24534, and quantile values: 0.25 0.075009\n0.50 0.245340\n0.75 0.926405\nName: 12301, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.259951123218868, std values: 4.726350047047109, min values: 3.0905e-06, max values: 40.661, median values: 0.17041, and quantile values: 0.25 0.05597\n0.50 0.17041\n0.75 0.57922\nName: 12302, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.65708769736478, std values: 5.30541959362347, min values: 3.387e-06, max values: 44.539, median values: 0.26595, and quantile values: 0.25 0.07719\n0.50 0.26595\n0.75 1.00935\nName: 12303, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.418946422981761, std values: 4.948662975023062, min values: 1.7467e-06, max values: 39.668, median values: 0.2078, and quantile values: 0.25 0.060736\n0.50 0.207800\n0.75 0.806590\nName: 12304, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4733788649592454, std values: 4.813203162115589, min values: 8.0682e-07, max values: 38.781, median values: 0.20671, and quantile values: 0.25 0.058215\n0.50 0.206710\n0.75 0.943995\nName: 12305, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6737062954106914, std values: 4.953470657759057, min values: 1.7725e-06, max values: 38.615, median values: 0.2907, and quantile values: 0.25 0.076791\n0.50 0.290700\n0.75 1.161000\nName: 12306, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5888322990792452, std values: 5.0929604772220225, min values: 3.496e-06, max values: 39.878, median values: 0.24277, and quantile values: 0.25 0.073974\n0.50 0.242770\n0.75 0.896730\nName: 12307, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.322846369508176, std values: 4.741384077455984, min values: 2.4142e-06, max values: 40.057, median values: 0.16467, and quantile values: 0.25 0.051008\n0.50 0.164670\n0.75 0.590580\nName: 12308, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3269354132501257, std values: 5.105459624386347, min values: 3.3847e-07, max values: 42.972, median values: 0.17068, and quantile values: 0.25 0.047740\n0.50 0.170680\n0.75 0.659795\nName: 12309, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.263116782958044, std values: 4.569042169638481, min values: 1.6419e-08, max values: 36.671, median values: 0.16796, and quantile values: 0.25 0.041038\n0.50 0.167960\n0.75 0.666425\nName: 12310, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5008261622509436, std values: 4.850087305038324, min values: 1.7138e-06, max values: 39.197, median values: 0.22173, and quantile values: 0.25 0.064616\n0.50 0.221730\n0.75 1.010050\nName: 12311, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8304758682761004, std values: 5.461497209107432, min values: 1.9539e-06, max values: 46.657, median values: 0.31215, and quantile values: 0.25 0.085406\n0.50 0.312150\n0.75 1.217000\nName: 12312, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8607151747781134, std values: 5.49898758532221, min values: 6.6372e-07, max values: 48.111, median values: 0.26161, and quantile values: 0.25 0.071846\n0.50 0.261610\n0.75 1.236350\nName: 12313, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4274055376474213, std values: 5.164441157055939, min values: 3.5604e-07, max values: 45.954, median values: 0.20315, and quantile values: 0.25 0.056289\n0.50 0.203150\n0.75 0.767860\nName: 12314, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7095554954232703, std values: 5.391713194455384, min values: 3.375e-06, max values: 45.815, median values: 0.28035, and quantile values: 0.25 0.07652\n0.50 0.28035\n0.75 1.10405\nName: 12315, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3654790836547168, std values: 4.865663038201068, min values: 1.3283e-06, max values: 39.117, median values: 0.17887, and quantile values: 0.25 0.056966\n0.50 0.178870\n0.75 0.806225\nName: 12316, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.297298469172327, std values: 4.661873712615559, min values: 7.382e-07, max values: 37.105, median values: 0.15952, and quantile values: 0.25 0.050514\n0.50 0.159520\n0.75 0.712090\nName: 12317, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.645283018, std values: 5.483147844516625, min values: 5.9145e-06, max values: 46.462, median values: 0.27411, and quantile values: 0.25 0.083817\n0.50 0.274110\n0.75 0.921930\nName: 12318, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4818974345962264, std values: 4.777116144222248, min values: 1.4456e-06, max values: 38.465, median values: 0.25503, and quantile values: 0.25 0.073208\n0.50 0.255030\n0.75 0.901110\nName: 12319, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3340879234044025, std values: 4.707863357856136, min values: 1.0391e-07, max values: 37.863, median values: 0.15323, and quantile values: 0.25 0.040868\n0.50 0.153230\n0.75 0.737490\nName: 12320, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3639287019174846, std values: 4.962039973232935, min values: 4.1238e-07, max values: 42.257, median values: 0.19303, and quantile values: 0.25 0.049863\n0.50 0.193030\n0.75 0.725525\nName: 12321, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4489425854477989, std values: 4.878810346604977, min values: 1.7735e-06, max values: 39.686, median values: 0.21114, and quantile values: 0.25 0.061669\n0.50 0.211140\n0.75 0.861140\nName: 12322, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3842733261496856, std values: 4.881852354277416, min values: 2.3212e-06, max values: 39.832, median values: 0.19109, and quantile values: 0.25 0.059976\n0.50 0.191090\n0.75 0.783645\nName: 12323, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4653323005698113, std values: 5.051844837598166, min values: 2.0091e-06, max values: 41.797, median values: 0.22188, and quantile values: 0.25 0.066809\n0.50 0.221880\n0.75 0.852265\nName: 12324, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5111632657396228, std values: 5.021786951118584, min values: 1.4339e-06, max values: 41.457, median values: 0.22494, and quantile values: 0.25 0.070163\n0.50 0.224940\n0.75 0.936135\nName: 12325, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5273448318937106, std values: 4.941147855685047, min values: 2.3606e-06, max values: 39.521, median values: 0.24286, and quantile values: 0.25 0.076493\n0.50 0.242860\n0.75 0.961245\nName: 12326, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3515342479610062, std values: 4.8364429786417995, min values: 1.6923e-06, max values: 38.922, median values: 0.19432, and quantile values: 0.25 0.059287\n0.50 0.194320\n0.75 0.736765\nName: 12327, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.442663613966415, std values: 5.027576482780535, min values: 1.493e-07, max values: 43.671, median values: 0.19987, and quantile values: 0.25 0.044694\n0.50 0.199870\n0.75 0.780135\nName: 12328, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5941760714284274, std values: 4.969450106687133, min values: 5.4662e-07, max values: 40.855, median values: 0.25904, and quantile values: 0.25 0.062906\n0.50 0.259040\n0.75 1.067730\nName: 12329, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5240304439715722, std values: 4.952178074871194, min values: 7.378e-08, max values: 40.865, median values: 0.23482, and quantile values: 0.25 0.061314\n0.50 0.234820\n0.75 0.950965\nName: 12330, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8882470998377354, std values: 5.097620170641874, min values: 7.2737e-06, max values: 40.14, median values: 0.37805, and quantile values: 0.25 0.098798\n0.50 0.378050\n0.75 1.250700\nName: 12331, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.494936453291824, std values: 4.970464358734761, min values: 3.4089e-06, max values: 39.743, median values: 0.24415, and quantile values: 0.25 0.069189\n0.50 0.244150\n0.75 0.882160\nName: 12332, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6082791761849058, std values: 5.203724934328824, min values: 4.2675e-06, max values: 42.026, median values: 0.24954, and quantile values: 0.25 0.077995\n0.50 0.249540\n0.75 0.982410\nName: 12333, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4842159348886792, std values: 4.859720265268475, min values: 3.1709e-06, max values: 39.222, median values: 0.25313, and quantile values: 0.25 0.068113\n0.50 0.253130\n0.75 0.948150\nName: 12334, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5917965019251572, std values: 4.966868260405712, min values: 1.547e-06, max values: 39.001, median values: 0.25875, and quantile values: 0.25 0.076229\n0.50 0.258750\n0.75 1.024405\nName: 12335, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8140659170867928, std values: 5.31009619617866, min values: 6.0008e-06, max values: 40.786, median values: 0.32597, and quantile values: 0.25 0.090774\n0.50 0.325970\n0.75 1.152800\nName: 12336, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5387332703223273, std values: 4.801162060267279, min values: 5.8225e-07, max values: 38.078, median values: 0.24834, and quantile values: 0.25 0.067573\n0.50 0.248340\n0.75 1.021365\nName: 12337, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4231117310698111, std values: 4.8737942919502455, min values: 1.2002e-06, max values: 39.198, median values: 0.19098, and quantile values: 0.25 0.060855\n0.50 0.190980\n0.75 0.843660\nName: 12338, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5127128087425787, std values: 4.864552282596065, min values: 3.0617e-07, max values: 39.551, median values: 0.2138, and quantile values: 0.25 0.061176\n0.50 0.213800\n0.75 0.932415\nName: 12339, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.386514003654327, std values: 4.832607668291223, min values: 9.2748e-08, max values: 40.056, median values: 0.14296, and quantile values: 0.25 0.036783\n0.50 0.142960\n0.75 0.748615\nName: 12340, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4430055616172326, std values: 5.101698063938071, min values: 6.1814e-07, max values: 44.16, median values: 0.17973, and quantile values: 0.25 0.053889\n0.50 0.179730\n0.75 0.883945\nName: 12341, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.500675676547547, std values: 5.1307335423023455, min values: 6.6496e-07, max values: 43.912, median values: 0.22324, and quantile values: 0.25 0.063980\n0.50 0.223240\n0.75 0.882615\nName: 12342, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.778478330881761, std values: 5.180538360696993, min values: 1.8811e-06, max values: 40.871, median values: 0.29076, and quantile values: 0.25 0.085335\n0.50 0.290760\n0.75 1.227400\nName: 12343, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4337051171232704, std values: 5.016966806463776, min values: 1.2202e-06, max values: 42.126, median values: 0.18621, and quantile values: 0.25 0.055947\n0.50 0.186210\n0.75 0.779340\nName: 12344, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5258554631904402, std values: 4.9168368901597805, min values: 5.6148e-07, max values: 40.098, median values: 0.2137, and quantile values: 0.25 0.065616\n0.50 0.213700\n0.75 0.954680\nName: 12345, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5744224596006289, std values: 5.01083590636884, min values: 1.5165e-06, max values: 40.532, median values: 0.22709, and quantile values: 0.25 0.069516\n0.50 0.227090\n0.75 0.951385\nName: 12346, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7505356375821572, std values: 5.1937789950697075, min values: 2.3063e-08, max values: 43.16, median values: 0.28952, and quantile values: 0.25 0.060937\n0.50 0.289520\n0.75 1.223550\nName: 12347, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5319398214088051, std values: 5.077243047852879, min values: 2.0016e-06, max values: 42.286, median values: 0.2491, and quantile values: 0.25 0.071918\n0.50 0.249100\n0.75 0.946495\nName: 12348, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3623270288642768, std values: 4.853685540392951, min values: 9.9992e-07, max values: 38.965, median values: 0.19051, and quantile values: 0.25 0.050085\n0.50 0.190510\n0.75 0.765455\nName: 12349, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3330341385412579, std values: 4.716300977746566, min values: 3.4056e-07, max values: 38.247, median values: 0.18702, and quantile values: 0.25 0.046230\n0.50 0.187020\n0.75 0.712425\nName: 12350, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6002524438196857, std values: 5.0100462255018785, min values: 4.9353e-07, max values: 40.945, median values: 0.25421, and quantile values: 0.25 0.06113\n0.50 0.25421\n0.75 1.07315\nName: 12351, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2075494686845283, std values: 4.5971875829286315, min values: 5.0274e-07, max values: 37.594, median values: 0.16963, and quantile values: 0.25 0.056424\n0.50 0.169630\n0.75 0.632100\nName: 12352, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5434316936603774, std values: 4.869928189388897, min values: 1.1246e-06, max values: 38.513, median values: 0.253, and quantile values: 0.25 0.065162\n0.50 0.253000\n0.75 0.979470\nName: 12353, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4449770610010817, std values: 4.6598424796205915, min values: 5.0272e-08, max values: 37.515, median values: 0.19687, and quantile values: 0.25 0.056017\n0.50 0.196870\n0.75 0.885540\nName: 12354, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.595850563044654, std values: 4.682135752359727, min values: 1.5158e-06, max values: 38.337, median values: 0.25332, and quantile values: 0.25 0.085727\n0.50 0.253320\n0.75 1.090750\nName: 12355, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4256691369849057, std values: 4.601635895721859, min values: 1.5623e-06, max values: 38.462, median values: 0.21173, and quantile values: 0.25 0.056241\n0.50 0.211730\n0.75 0.911120\nName: 12356, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6847579407528304, std values: 4.96888986845457, min values: 2.7732e-06, max values: 39.805, median values: 0.30568, and quantile values: 0.25 0.084588\n0.50 0.305680\n0.75 1.098000\nName: 12357, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4064072339632703, std values: 4.553520401054102, min values: 1.5526e-07, max values: 37.188, median values: 0.20564, and quantile values: 0.25 0.051594\n0.50 0.205640\n0.75 0.853835\nName: 12358, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6585100521949685, std values: 5.197156696941734, min values: 2.8994e-06, max values: 42.33, median values: 0.25746, and quantile values: 0.25 0.075179\n0.50 0.257460\n0.75 1.074500\nName: 12359, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.597105138356289, std values: 5.12968288748706, min values: 0.0, max values: 44.066, median values: 0.27885, and quantile values: 0.25 0.067513\n0.50 0.278850\n0.75 1.069650\nName: 12360, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3943510036359497, std values: 4.609384478168596, min values: 2.4506e-08, max values: 37.15, median values: 0.18533, and quantile values: 0.25 0.054667\n0.50 0.185330\n0.75 0.858550\nName: 12361, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.179975472545283, std values: 4.338298214317344, min values: 3.182e-07, max values: 37.176, median values: 0.13907, and quantile values: 0.25 0.041703\n0.50 0.139070\n0.75 0.616790\nName: 12362, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.45980937348239, std values: 4.953334239252222, min values: 1.3528e-06, max values: 39.959, median values: 0.21308, and quantile values: 0.25 0.06227\n0.50 0.21308\n0.75 0.88587\nName: 12363, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3546554971578615, std values: 4.9478707021967825, min values: 1.0098e-06, max values: 40.691, median values: 0.17672, and quantile values: 0.25 0.054966\n0.50 0.176720\n0.75 0.787705\nName: 12364, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5885075575639622, std values: 5.054619379341196, min values: 3.8117e-07, max values: 42.427, median values: 0.23707, and quantile values: 0.25 0.059187\n0.50 0.237070\n0.75 0.963305\nName: 12365, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.662069441143585, std values: 5.065860865795728, min values: 9.4763e-07, max values: 40.998, median values: 0.26834, and quantile values: 0.25 0.072617\n0.50 0.268340\n0.75 1.119050\nName: 12366, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4001375582481321, std values: 4.656396766863201, min values: 9.6063e-08, max values: 36.784, median values: 0.19188, and quantile values: 0.25 0.047493\n0.50 0.191880\n0.75 0.862445\nName: 12367, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.401803266637107, std values: 4.860446493655309, min values: 2.2588e-06, max values: 39.85, median values: 0.22286, and quantile values: 0.25 0.065019\n0.50 0.222860\n0.75 0.778475\nName: 12368, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.636788408601761, std values: 4.950875943654869, min values: 9.2148e-07, max values: 39.262, median values: 0.28428, and quantile values: 0.25 0.074658\n0.50 0.284280\n0.75 1.124400\nName: 12369, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3722401314871824, std values: 4.621679868590932, min values: 1.5632e-08, max values: 36.589, median values: 0.18125, and quantile values: 0.25 0.042388\n0.50 0.181250\n0.75 0.740205\nName: 12370, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5251542832701257, std values: 4.858847233324717, min values: 6.7005e-07, max values: 38.114, median values: 0.21195, and quantile values: 0.25 0.054494\n0.50 0.211950\n0.75 0.893300\nName: 12371, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6896368994100626, std values: 4.922461149657768, min values: 5.5956e-06, max values: 40.07, median values: 0.30301, and quantile values: 0.25 0.090382\n0.50 0.303010\n0.75 1.088800\nName: 12372, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5964059762333334, std values: 5.129781912743189, min values: 2.2464e-06, max values: 41.737, median values: 0.23594, and quantile values: 0.25 0.071496\n0.50 0.235940\n0.75 0.983035\nName: 12373, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.591155274844654, std values: 5.036134841672697, min values: 2.3746e-06, max values: 39.975, median values: 0.24451, and quantile values: 0.25 0.074391\n0.50 0.244510\n0.75 1.041900\nName: 12374, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3251588634050693, std values: 4.90546265501409, min values: 1.2316e-08, max values: 41.501, median values: 0.17168, and quantile values: 0.25 0.044635\n0.50 0.171680\n0.75 0.762720\nName: 12375, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.402649930727044, std values: 4.715754701847296, min values: 1.1302e-06, max values: 37.913, median values: 0.19881, and quantile values: 0.25 0.060651\n0.50 0.198810\n0.75 0.814515\nName: 12376, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5526851812144655, std values: 4.9533579984343845, min values: 3.4405e-06, max values: 39.577, median values: 0.25978, and quantile values: 0.25 0.074522\n0.50 0.259780\n0.75 0.938490\nName: 12377, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4164432151446542, std values: 4.822966319727629, min values: 2.3532e-06, max values: 39.132, median values: 0.22178, and quantile values: 0.25 0.063835\n0.50 0.221780\n0.75 0.850775\nName: 12378, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.520823393391195, std values: 4.811442850275261, min values: 1.4474e-06, max values: 38.976, median values: 0.23396, and quantile values: 0.25 0.070284\n0.50 0.233960\n0.75 0.999020\nName: 12379, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.387760360678742, std values: 4.798841709442724, min values: 3.486e-08, max values: 39.588, median values: 0.19603, and quantile values: 0.25 0.043918\n0.50 0.196030\n0.75 0.797430\nName: 12380, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3831814103421383, std values: 4.8965293295658885, min values: 1.7685e-06, max values: 39.47, median values: 0.20894, and quantile values: 0.25 0.057709\n0.50 0.208940\n0.75 0.835765\nName: 12381, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4279152795597485, std values: 4.9868952757153355, min values: 4.1842e-06, max values: 40.554, median values: 0.20629, and quantile values: 0.25 0.067116\n0.50 0.206290\n0.75 0.770130\nName: 12382, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2392450644796855, std values: 4.840917769687569, min values: 3.8387e-07, max values: 40.501, median values: 0.1531, and quantile values: 0.25 0.041739\n0.50 0.153100\n0.75 0.634315\nName: 12383, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6345211720861637, std values: 5.014421485163463, min values: 3.7576e-06, max values: 39.688, median values: 0.24476, and quantile values: 0.25 0.06607\n0.50 0.24476\n0.75 1.08045\nName: 12384, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3999094761685535, std values: 4.619120048802044, min values: 8.162e-07, max values: 38.304, median values: 0.21671, and quantile values: 0.25 0.056101\n0.50 0.216710\n0.75 0.809420\nName: 12385, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6768233038679246, std values: 5.333369449408087, min values: 3.1498e-06, max values: 44.018, median values: 0.27616, and quantile values: 0.25 0.084475\n0.50 0.276160\n0.75 1.014650\nName: 12386, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4788519493654086, std values: 4.672389083540888, min values: 3.5973e-06, max values: 39.816, median values: 0.23164, and quantile values: 0.25 0.079287\n0.50 0.231640\n0.75 0.895645\nName: 12387, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6516880362716981, std values: 5.144318327377069, min values: 3.7678e-06, max values: 40.963, median values: 0.25604, and quantile values: 0.25 0.070339\n0.50 0.256040\n0.75 1.016000\nName: 12388, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.429508439678176, std values: 4.775703826919553, min values: 1.2473e-07, max values: 38.272, median values: 0.19524, and quantile values: 0.25 0.055875\n0.50 0.195240\n0.75 0.913935\nName: 12389, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2341447307128488, std values: 4.817564040956629, min values: 6.3915e-08, max values: 42.176, median values: 0.11817, and quantile values: 0.25 0.029756\n0.50 0.118170\n0.75 0.566520\nName: 12390, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5957971084722642, std values: 5.1087957784048275, min values: 4.5939e-07, max values: 42.81, median values: 0.23827, and quantile values: 0.25 0.060379\n0.50 0.238270\n0.75 1.061250\nName: 12391, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.493948497928302, std values: 5.131168435752002, min values: 3.1789e-06, max values: 42.397, median values: 0.22872, and quantile values: 0.25 0.065469\n0.50 0.228720\n0.75 0.880405\nName: 12392, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3001041431522011, std values: 4.586419355073258, min values: 1.1247e-06, max values: 38.688, median values: 0.20266, and quantile values: 0.25 0.052790\n0.50 0.202660\n0.75 0.724525\nName: 12393, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5298583754840627, std values: 4.639279559891253, min values: 2.9966e-08, max values: 36.604, median values: 0.2394, and quantile values: 0.25 0.060314\n0.50 0.239400\n0.75 0.988435\nName: 12394, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.491675894124572, std values: 4.9485498362914715, min values: 2.1157e-08, max values: 41.227, median values: 0.17062, and quantile values: 0.25 0.047602\n0.50 0.170620\n0.75 0.873600\nName: 12395, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6619652964251572, std values: 5.104442680814875, min values: 1.3403e-06, max values: 41.727, median values: 0.27533, and quantile values: 0.25 0.071128\n0.50 0.275330\n0.75 1.154750\nName: 12396, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2961803012834592, std values: 4.772228253360287, min values: 4.9357e-07, max values: 38.297, median values: 0.16167, and quantile values: 0.25 0.048135\n0.50 0.161670\n0.75 0.667370\nName: 12397, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4797008088207546, std values: 5.03483401289568, min values: 1.4615e-06, max values: 40.944, median values: 0.21105, and quantile values: 0.25 0.059643\n0.50 0.211050\n0.75 0.923960\nName: 12398, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.402046645062264, std values: 4.86686933435737, min values: 3.0752e-06, max values: 40.314, median values: 0.20261, and quantile values: 0.25 0.064984\n0.50 0.202610\n0.75 0.756250\nName: 12399, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4125568696643396, std values: 5.0071903637273145, min values: 1.9584e-07, max values: 43.931, median values: 0.1724, and quantile values: 0.25 0.045341\n0.50 0.172400\n0.75 0.679180\nName: 12400, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.702313202715283, std values: 4.839967416343703, min values: 6.8703e-07, max values: 38.016, median values: 0.28397, and quantile values: 0.25 0.069455\n0.50 0.283970\n0.75 1.194700\nName: 12401, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3416532992767296, std values: 4.654357095577159, min values: 2.2137e-06, max values: 39.853, median values: 0.21481, and quantile values: 0.25 0.061421\n0.50 0.214810\n0.75 0.731690\nName: 12402, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.402148227562893, std values: 4.916771930676509, min values: 1.4881e-06, max values: 39.495, median values: 0.20248, and quantile values: 0.25 0.056381\n0.50 0.202480\n0.75 0.816370\nName: 12403, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7130186774572327, std values: 5.189548768159061, min values: 3.6532e-06, max values: 41.112, median values: 0.281, and quantile values: 0.25 0.078684\n0.50 0.281000\n0.75 1.152950\nName: 12404, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6109732472861638, std values: 5.130370286270814, min values: 3.2266e-06, max values: 41.294, median values: 0.27433, and quantile values: 0.25 0.070274\n0.50 0.274330\n0.75 1.006920\nName: 12405, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3387153901245281, std values: 4.9272569925182115, min values: 3.566e-07, max values: 41.468, median values: 0.18049, and quantile values: 0.25 0.049322\n0.50 0.180490\n0.75 0.709835\nName: 12406, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4220479913578616, std values: 5.012547539964246, min values: 1.4962e-06, max values: 40.865, median values: 0.21654, and quantile values: 0.25 0.065216\n0.50 0.216540\n0.75 0.808540\nName: 12407, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2196814770639055, std values: 4.869377977964052, min values: 6.1161e-08, max values: 40.863, median values: 0.11459, and quantile values: 0.25 0.033603\n0.50 0.114590\n0.75 0.558355\nName: 12408, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5790216586588677, std values: 4.95564398176383, min values: 9.7896e-07, max values: 39.685, median values: 0.2054, and quantile values: 0.25 0.058586\n0.50 0.205400\n0.75 0.955710\nName: 12409, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5702137815635218, std values: 5.433081963317441, min values: 1.2871e-06, max values: 49.274, median values: 0.26614, and quantile values: 0.25 0.071156\n0.50 0.266140\n0.75 0.868080\nName: 12410, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.42565344111195, std values: 4.855531227983106, min values: 1.307e-06, max values: 38.889, median values: 0.21811, and quantile values: 0.25 0.067928\n0.50 0.218110\n0.75 0.835220\nName: 12411, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8621376681949686, std values: 5.227595520086156, min values: 5.0015e-06, max values: 40.274, median values: 0.31495, and quantile values: 0.25 0.096913\n0.50 0.314950\n0.75 1.257400\nName: 12412, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.427894414316736, std values: 4.76316814678895, min values: 1.8471e-08, max values: 38.322, median values: 0.16887, and quantile values: 0.25 0.044650\n0.50 0.168870\n0.75 0.811925\nName: 12413, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8325985763081758, std values: 5.186673577881465, min values: 3.6793e-06, max values: 40.14, median values: 0.31585, and quantile values: 0.25 0.085481\n0.50 0.315850\n0.75 1.303950\nName: 12414, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3785825768864088, std values: 4.759517005130721, min values: 3.0829e-08, max values: 39.192, median values: 0.21726, and quantile values: 0.25 0.043726\n0.50 0.217260\n0.75 0.816335\nName: 12415, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.409101383935849, std values: 4.809011072030303, min values: 1.143e-06, max values: 38.606, median values: 0.20057, and quantile values: 0.25 0.059087\n0.50 0.200570\n0.75 0.799760\nName: 12416, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3825183291109433, std values: 4.782986536412003, min values: 5.6914e-07, max values: 38.995, median values: 0.18479, and quantile values: 0.25 0.056835\n0.50 0.184790\n0.75 0.806625\nName: 12417, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.219414103472264, std values: 4.427326944777945, min values: 2.257e-08, max values: 35.877, median values: 0.14663, and quantile values: 0.25 0.035383\n0.50 0.146630\n0.75 0.602845\nName: 12418, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3347903356638364, std values: 4.706352239532697, min values: 8.1815e-07, max values: 38.624, median values: 0.17161, and quantile values: 0.25 0.054575\n0.50 0.171610\n0.75 0.753495\nName: 12419, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5842073029119499, std values: 5.027560099953437, min values: 1.6101e-06, max values: 41.248, median values: 0.25049, and quantile values: 0.25 0.072821\n0.50 0.250490\n0.75 0.997010\nName: 12420, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2327202721888049, std values: 4.563374368484019, min values: 3.1078e-07, max values: 37.419, median values: 0.16715, and quantile values: 0.25 0.040674\n0.50 0.167150\n0.75 0.634995\nName: 12421, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6449426506915725, std values: 5.03322160293312, min values: 2.376e-08, max values: 41.172, median values: 0.26498, and quantile values: 0.25 0.065058\n0.50 0.264980\n0.75 1.025750\nName: 12422, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.66807026978239, std values: 4.93613554775153, min values: 3.7187e-06, max values: 40.29, median values: 0.27158, and quantile values: 0.25 0.082576\n0.50 0.271580\n0.75 1.087600\nName: 12423, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2360120593943775, std values: 4.566867614756772, min values: 1.3996e-08, max values: 37.158, median values: 0.15903, and quantile values: 0.25 0.043047\n0.50 0.159030\n0.75 0.653995\nName: 12424, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.34125659088239, std values: 4.668652312635923, min values: 1.241e-06, max values: 38.823, median values: 0.18334, and quantile values: 0.25 0.051596\n0.50 0.183340\n0.75 0.723520\nName: 12425, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3596233358530816, std values: 4.767780529661534, min values: 1.5074e-07, max values: 38.739, median values: 0.18203, and quantile values: 0.25 0.052765\n0.50 0.182030\n0.75 0.765845\nName: 12426, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5455582671563521, std values: 4.790980123284531, min values: 8.2536e-07, max values: 37.639, median values: 0.25426, and quantile values: 0.25 0.064629\n0.50 0.254260\n0.75 1.033980\nName: 12427, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6101320461635222, std values: 5.186177625078615, min values: 2.2922e-06, max values: 43.507, median values: 0.26325, and quantile values: 0.25 0.075353\n0.50 0.263250\n0.75 1.003605\nName: 12428, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6821122477037735, std values: 5.367868086822345, min values: 4.2719e-06, max values: 43.93, median values: 0.26014, and quantile values: 0.25 0.066406\n0.50 0.260140\n0.75 1.013650\nName: 12429, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4439563053194966, std values: 4.674939601539905, min values: 2.7327e-06, max values: 39.919, median values: 0.23925, and quantile values: 0.25 0.065779\n0.50 0.239250\n0.75 0.891435\nName: 12430, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5004287106613208, std values: 4.757962634873022, min values: 5.3995e-07, max values: 37.583, median values: 0.23771, and quantile values: 0.25 0.065918\n0.50 0.237710\n0.75 0.943980\nName: 12431, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3769898140691825, std values: 4.7311021677844405, min values: 1.6027e-06, max values: 39.621, median values: 0.19072, and quantile values: 0.25 0.059192\n0.50 0.190720\n0.75 0.790835\nName: 12432, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5750827838685533, std values: 5.184217828134883, min values: 3.484e-06, max values: 42.282, median values: 0.23436, and quantile values: 0.25 0.069507\n0.50 0.234360\n0.75 0.916080\nName: 12433, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3732356613952639, std values: 4.9601675733041075, min values: 3.1247e-08, max values: 42.329, median values: 0.18634, and quantile values: 0.25 0.045582\n0.50 0.186340\n0.75 0.716525\nName: 12434, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4545321261251574, std values: 4.990382076415186, min values: 3.7092e-06, max values: 40.749, median values: 0.2246, and quantile values: 0.25 0.060314\n0.50 0.224600\n0.75 0.789155\nName: 12435, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5151221242044026, std values: 5.006389620526558, min values: 2.8403e-06, max values: 40.412, median values: 0.23999, and quantile values: 0.25 0.066768\n0.50 0.239990\n0.75 0.939800\nName: 12436, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7297737102057236, std values: 5.1580284987438985, min values: 3.3861e-07, max values: 43.713, median values: 0.30338, and quantile values: 0.25 0.062427\n0.50 0.303380\n0.75 1.164000\nName: 12437, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5381077823113207, std values: 5.068203538151404, min values: 2.0397e-06, max values: 41.124, median values: 0.23986, and quantile values: 0.25 0.071415\n0.50 0.239860\n0.75 0.946210\nName: 12438, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4921848655226415, std values: 4.837468540076599, min values: 4.6325e-06, max values: 40.155, median values: 0.242, and quantile values: 0.25 0.071632\n0.50 0.242000\n0.75 0.853920\nName: 12439, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6959498164710691, std values: 4.9254581246520575, min values: 3.6963e-06, max values: 38.868, median values: 0.32074, and quantile values: 0.25 0.094783\n0.50 0.320740\n0.75 1.104800\nName: 12440, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4448758622772326, std values: 4.706916679664248, min values: 0.0, max values: 37.031, median values: 0.20176, and quantile values: 0.25 0.054640\n0.50 0.201760\n0.75 0.885095\nName: 12441, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4847406625719497, std values: 4.962422339120984, min values: 9.6054e-07, max values: 40.876, median values: 0.23331, and quantile values: 0.25 0.061411\n0.50 0.233310\n0.75 0.903010\nName: 12442, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2979840874666666, std values: 4.839460692292313, min values: 2.0663e-06, max values: 39.317, median values: 0.17081, and quantile values: 0.25 0.051441\n0.50 0.170810\n0.75 0.634780\nName: 12443, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5604930334371068, std values: 4.935660672354932, min values: 2.6106e-06, max values: 40.166, median values: 0.24996, and quantile values: 0.25 0.063273\n0.50 0.249960\n0.75 0.858780\nName: 12444, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5508281319679247, std values: 5.236813503790423, min values: 2.441e-06, max values: 43.967, median values: 0.24527, and quantile values: 0.25 0.073029\n0.50 0.245270\n0.75 0.890690\nName: 12445, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9475374380402515, std values: 5.60110653076394, min values: 7.6434e-06, max values: 44.841, median values: 0.31242, and quantile values: 0.25 0.090635\n0.50 0.312420\n0.75 1.251200\nName: 12446, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4287587948150942, std values: 5.051020010311555, min values: 2.572e-06, max values: 41.215, median values: 0.21601, and quantile values: 0.25 0.059408\n0.50 0.216010\n0.75 0.783370\nName: 12447, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5283146025162075, std values: 4.849704816737926, min values: 3.4367e-08, max values: 39.127, median values: 0.20213, and quantile values: 0.25 0.056244\n0.50 0.202130\n0.75 0.974650\nName: 12448, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6106135452226416, std values: 5.0528588644206645, min values: 2.7274e-06, max values: 39.93, median values: 0.25788, and quantile values: 0.25 0.077989\n0.50 0.257880\n0.75 1.015350\nName: 12449, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3284509226141008, std values: 4.724914973278072, min values: 1.7342e-08, max values: 38.204, median values: 0.17599, and quantile values: 0.25 0.048812\n0.50 0.175990\n0.75 0.725065\nName: 12450, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7693164483345911, std values: 5.315602540262667, min values: 2.9502e-06, max values: 43.651, median values: 0.31347, and quantile values: 0.25 0.083583\n0.50 0.313470\n0.75 1.180400\nName: 12451, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5120201740062893, std values: 5.032382334305207, min values: 5.0729e-06, max values: 41.289, median values: 0.21985, and quantile values: 0.25 0.064945\n0.50 0.219850\n0.75 0.837325\nName: 12452, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5221779402528304, std values: 5.037099148884998, min values: 1.8877e-06, max values: 40.907, median values: 0.2213, and quantile values: 0.25 0.064015\n0.50 0.221300\n0.75 0.915475\nName: 12453, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9770813825584903, std values: 5.547854413632038, min values: 6.547e-07, max values: 47.375, median values: 0.37342, and quantile values: 0.25 0.09036\n0.50 0.37342\n0.75 1.34845\nName: 12454, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4009074874536478, std values: 4.74465056014148, min values: 7.6253e-07, max values: 38.226, median values: 0.22004, and quantile values: 0.25 0.052626\n0.50 0.220040\n0.75 0.785800\nName: 12455, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5619963942671697, std values: 5.040301099307641, min values: 9.3318e-07, max values: 40.662, median values: 0.22589, and quantile values: 0.25 0.05816\n0.50 0.22589\n0.75 1.03240\nName: 12456, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.250148556392453, std values: 4.715887139157539, min values: 2.8474e-06, max values: 39.904, median values: 0.14515, and quantile values: 0.25 0.042524\n0.50 0.145150\n0.75 0.572240\nName: 12457, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3501957003597487, std values: 4.935236496621506, min values: 2.7751e-06, max values: 39.956, median values: 0.18679, and quantile values: 0.25 0.048528\n0.50 0.186790\n0.75 0.756575\nName: 12458, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5493730856314465, std values: 4.91736872700492, min values: 1.084e-06, max values: 38.834, median values: 0.2244, and quantile values: 0.25 0.070624\n0.50 0.224400\n0.75 0.970445\nName: 12459, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3807549351584274, std values: 5.06309320568225, min values: 1.8943e-07, max values: 44.85, median values: 0.17827, and quantile values: 0.25 0.043102\n0.50 0.178270\n0.75 0.737055\nName: 12460, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5003156775547168, std values: 4.934654419239352, min values: 2.4113e-06, max values: 39.161, median values: 0.25174, and quantile values: 0.25 0.072007\n0.50 0.251740\n0.75 0.902315\nName: 12461, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3754424912327043, std values: 4.673639656281988, min values: 3.4204e-06, max values: 40.429, median values: 0.1932, and quantile values: 0.25 0.060117\n0.50 0.193200\n0.75 0.774030\nName: 12462, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7750569432245282, std values: 5.334804292192572, min values: 3.6228e-06, max values: 43.429, median values: 0.33742, and quantile values: 0.25 0.089598\n0.50 0.337420\n0.75 1.075200\nName: 12463, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4329678176748426, std values: 4.888878212201496, min values: 1.3664e-06, max values: 39.235, median values: 0.20876, and quantile values: 0.25 0.064145\n0.50 0.208760\n0.75 0.852860\nName: 12464, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5067153359295598, std values: 5.053168517859761, min values: 1.4475e-06, max values: 41.837, median values: 0.2415, and quantile values: 0.25 0.075041\n0.50 0.241500\n0.75 0.902545\nName: 12465, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5075158139496856, std values: 5.071128109547745, min values: 1.0408e-06, max values: 42.142, median values: 0.20817, and quantile values: 0.25 0.05977\n0.50 0.20817\n0.75 0.92434\nName: 12466, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5093702818666666, std values: 4.857329664913253, min values: 7.464e-07, max values: 39.025, median values: 0.23079, and quantile values: 0.25 0.070119\n0.50 0.230790\n0.75 0.910775\nName: 12467, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4452972357837734, std values: 4.935533644054583, min values: 8.3242e-07, max values: 40.718, median values: 0.22788, and quantile values: 0.25 0.057542\n0.50 0.227880\n0.75 0.787760\nName: 12468, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6071413327830188, std values: 4.911264861447093, min values: 2.5923e-06, max values: 39.516, median values: 0.30232, and quantile values: 0.25 0.075058\n0.50 0.302320\n0.75 1.034200\nName: 12469, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2782165556303144, std values: 4.877597036120732, min values: 9.1852e-07, max values: 39.549, median values: 0.1455, and quantile values: 0.25 0.041100\n0.50 0.145500\n0.75 0.623295\nName: 12470, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6872240831911949, std values: 5.0933500913603, min values: 3.2749e-06, max values: 39.912, median values: 0.2864, and quantile values: 0.25 0.08171\n0.50 0.28640\n0.75 1.12900\nName: 12471, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6939716634402515, std values: 5.339719295199127, min values: 6.263e-06, max values: 41.968, median values: 0.26393, and quantile values: 0.25 0.077494\n0.50 0.263930\n0.75 0.875040\nName: 12472, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2454462795368553, std values: 4.645610376694969, min values: 3.9046e-07, max values: 37.331, median values: 0.13111, and quantile values: 0.25 0.038975\n0.50 0.131110\n0.75 0.607440\nName: 12473, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5502782706217924, std values: 4.858398164516038, min values: 2.0465e-08, max values: 38.558, median values: 0.2038, and quantile values: 0.25 0.058932\n0.50 0.203800\n0.75 0.986770\nName: 12474, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3021914587610064, std values: 4.531531940446122, min values: 1.0402e-06, max values: 38.349, median values: 0.18791, and quantile values: 0.25 0.057263\n0.50 0.187910\n0.75 0.740040\nName: 12475, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5763636648162895, std values: 5.0639065742333855, min values: 8.7269e-07, max values: 42.895, median values: 0.25482, and quantile values: 0.25 0.069127\n0.50 0.254820\n0.75 1.023300\nName: 12476, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5995416828117672, std values: 4.942705835331084, min values: 2.3661e-08, max values: 40.411, median values: 0.22398, and quantile values: 0.25 0.050965\n0.50 0.223980\n0.75 1.127900\nName: 12477, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.444430180928302, std values: 4.784262828395499, min values: 5.383e-07, max values: 38.31, median values: 0.22416, and quantile values: 0.25 0.061669\n0.50 0.224160\n0.75 0.881905\nName: 12478, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4875097483584905, std values: 4.938578305388634, min values: 1.1438e-06, max values: 39.226, median values: 0.21309, and quantile values: 0.25 0.054932\n0.50 0.213090\n0.75 0.891330\nName: 12479, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.362256277111698, std values: 4.929904675209659, min values: 1.906e-08, max values: 42.001, median values: 0.20231, and quantile values: 0.25 0.044524\n0.50 0.202310\n0.75 0.744465\nName: 12480, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6553904167345914, std values: 5.34870150539449, min values: 1.5722e-06, max values: 46.757, median values: 0.27002, and quantile values: 0.25 0.079949\n0.50 0.270020\n0.75 1.028250\nName: 12481, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4486421443425788, std values: 4.836304744453405, min values: 3.0927e-07, max values: 38.826, median values: 0.18558, and quantile values: 0.25 0.055129\n0.50 0.185580\n0.75 0.858445\nName: 12482, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6667443309610064, std values: 4.997941597100573, min values: 1.5951e-06, max values: 39.614, median values: 0.28717, and quantile values: 0.25 0.088347\n0.50 0.287170\n0.75 1.135250\nName: 12483, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2531777692057233, std values: 4.783972161808256, min values: 8.5891e-07, max values: 38.749, median values: 0.14836, and quantile values: 0.25 0.049402\n0.50 0.148360\n0.75 0.649330\nName: 12484, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.30294366433717, std values: 4.6516175793468575, min values: 5.3701e-07, max values: 37.818, median values: 0.1905, and quantile values: 0.25 0.050051\n0.50 0.190500\n0.75 0.759615\nName: 12485, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4880651643968554, std values: 4.896516349730715, min values: 4.0435e-06, max values: 40.553, median values: 0.24352, and quantile values: 0.25 0.077594\n0.50 0.243520\n0.75 0.872975\nName: 12486, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2928316899559749, std values: 4.7319418558020665, min values: 1.7056e-06, max values: 38.736, median values: 0.18533, and quantile values: 0.25 0.058222\n0.50 0.185330\n0.75 0.686620\nName: 12487, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4345022165597485, std values: 4.711231785731106, min values: 2.5576e-06, max values: 38.987, median values: 0.23775, and quantile values: 0.25 0.067249\n0.50 0.237750\n0.75 0.828445\nName: 12488, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4560524422631447, std values: 4.725319826793957, min values: 6.3901e-07, max values: 36.877, median values: 0.22342, and quantile values: 0.25 0.054086\n0.50 0.223420\n0.75 0.832820\nName: 12489, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4683650441482579, std values: 4.841489511641856, min values: 3.8083e-08, max values: 39.626, median values: 0.18955, and quantile values: 0.25 0.050204\n0.50 0.189550\n0.75 0.951945\nName: 12490, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4870195003597484, std values: 5.012096636531659, min values: 2.5067e-06, max values: 40.518, median values: 0.24837, and quantile values: 0.25 0.061741\n0.50 0.248370\n0.75 0.928845\nName: 12491, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3614552803279247, std values: 4.9261221877195736, min values: 3.7914e-07, max values: 41.062, median values: 0.16636, and quantile values: 0.25 0.046874\n0.50 0.166360\n0.75 0.699100\nName: 12492, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4570414395603772, std values: 4.731151068437151, min values: 1.6835e-06, max values: 38.383, median values: 0.23407, and quantile values: 0.25 0.065605\n0.50 0.234070\n0.75 0.933080\nName: 12493, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2991114188301887, std values: 4.741825164465625, min values: 4.329e-07, max values: 37.965, median values: 0.16249, and quantile values: 0.25 0.054056\n0.50 0.162490\n0.75 0.725405\nName: 12494, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4765380015100629, std values: 4.9391921800586225, min values: 3.1741e-06, max values: 39.625, median values: 0.25317, and quantile values: 0.25 0.071669\n0.50 0.253170\n0.75 0.854680\nName: 12495, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7086511635440254, std values: 5.755218590820328, min values: 6.0005e-06, max values: 49.266, median values: 0.24169, and quantile values: 0.25 0.071583\n0.50 0.241690\n0.75 0.825680\nName: 12496, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6520047434003142, std values: 4.941500501960755, min values: 8.4175e-07, max values: 38.634, median values: 0.25006, and quantile values: 0.25 0.070318\n0.50 0.250060\n0.75 1.145300\nName: 12497, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6800050891308178, std values: 5.111659698934682, min values: 2.3426e-06, max values: 41.196, median values: 0.30512, and quantile values: 0.25 0.07878\n0.50 0.30512\n0.75 1.15540\nName: 12498, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5077395052591196, std values: 5.242246732547074, min values: 3.9657e-06, max values: 42.375, median values: 0.1811, and quantile values: 0.25 0.060201\n0.50 0.181100\n0.75 0.766750\nName: 12499, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4834172873666667, std values: 4.994620278549776, min values: 1.3621e-06, max values: 40.272, median values: 0.21477, and quantile values: 0.25 0.06412\n0.50 0.21477\n0.75 0.88876\nName: 12500, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2893611768301887, std values: 4.829851712644898, min values: 1.8297e-06, max values: 40.266, median values: 0.17429, and quantile values: 0.25 0.05198\n0.50 0.17429\n0.75 0.65116\nName: 12501, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.036073219833962, std values: 5.169903874716456, min values: 1.1544e-06, max values: 38.563, median values: 0.39366, and quantile values: 0.25 0.10388\n0.50 0.39366\n0.75 1.46365\nName: 12502, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4735781345138366, std values: 4.8682885066850625, min values: 1.9372e-06, max values: 39.82, median values: 0.23122, and quantile values: 0.25 0.068195\n0.50 0.231220\n0.75 0.899440\nName: 12503, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8765837881764151, std values: 5.485648448784635, min values: 6.0845e-07, max values: 47.783, median values: 0.34513, and quantile values: 0.25 0.084749\n0.50 0.345130\n0.75 1.341250\nName: 12504, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5030118833792452, std values: 4.857813357453844, min values: 6.865e-07, max values: 38.767, median values: 0.21546, and quantile values: 0.25 0.069324\n0.50 0.215460\n0.75 0.939795\nName: 12505, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3451894092761005, std values: 4.882233182453532, min values: 2.1286e-06, max values: 39.995, median values: 0.17858, and quantile values: 0.25 0.048327\n0.50 0.178580\n0.75 0.755960\nName: 12506, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5310884904069182, std values: 5.169887464158773, min values: 4.3416e-06, max values: 42.453, median values: 0.23447, and quantile values: 0.25 0.069377\n0.50 0.234470\n0.75 0.885300\nName: 12507, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2156024155611194, std values: 4.4335005515974775, min values: 7.5248e-08, max values: 36.33, median values: 0.13876, and quantile values: 0.25 0.036976\n0.50 0.138760\n0.75 0.651070\nName: 12508, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5405617214425156, std values: 5.051533520517955, min values: 3.7976e-07, max values: 42.683, median values: 0.22338, and quantile values: 0.25 0.055073\n0.50 0.223380\n0.75 0.947105\nName: 12509, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.680019237427044, std values: 5.095314389471409, min values: 4.052e-06, max values: 40.104, median values: 0.26578, and quantile values: 0.25 0.07958\n0.50 0.26578\n0.75 1.07990\nName: 12510, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.388878145900629, std values: 4.8817357550184, min values: 2.3486e-06, max values: 39.586, median values: 0.20511, and quantile values: 0.25 0.056002\n0.50 0.205110\n0.75 0.783270\nName: 12511, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5132210427339623, std values: 5.125299682017896, min values: 3.2961e-06, max values: 40.901, median values: 0.24515, and quantile values: 0.25 0.072883\n0.50 0.245150\n0.75 0.874945\nName: 12512, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5662892519511948, std values: 4.930374238252047, min values: 3.8444e-07, max values: 40.089, median values: 0.20821, and quantile values: 0.25 0.061335\n0.50 0.208210\n0.75 0.983725\nName: 12513, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7159176987710694, std values: 5.0771995805936525, min values: 3.56e-06, max values: 40.303, median values: 0.25873, and quantile values: 0.25 0.079199\n0.50 0.258730\n0.75 1.126450\nName: 12514, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.315098796750629, std values: 4.636076002828284, min values: 4.3435e-07, max values: 38.046, median values: 0.17246, and quantile values: 0.25 0.052794\n0.50 0.172460\n0.75 0.755370\nName: 12515, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6177106353861634, std values: 5.160233745066, min values: 5.4151e-06, max values: 41.076, median values: 0.26839, and quantile values: 0.25 0.081693\n0.50 0.268390\n0.75 0.950400\nName: 12516, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4494161417886793, std values: 4.87023873341204, min values: 1.57e-06, max values: 39.249, median values: 0.20732, and quantile values: 0.25 0.066424\n0.50 0.207320\n0.75 0.860625\nName: 12517, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1938012063936603, std values: 4.582373861930528, min values: 2.4432e-08, max values: 36.709, median values: 0.14203, and quantile values: 0.25 0.036518\n0.50 0.142030\n0.75 0.555675\nName: 12518, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2345515795371071, std values: 4.64788826135207, min values: 1.5741e-06, max values: 39.518, median values: 0.17031, and quantile values: 0.25 0.047994\n0.50 0.170310\n0.75 0.680665\nName: 12519, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6238810451610064, std values: 5.080904010162387, min values: 3.9292e-06, max values: 40.181, median values: 0.25046, and quantile values: 0.25 0.071127\n0.50 0.250460\n0.75 1.006300\nName: 12520, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.051593272058491, std values: 5.450569145495859, min values: 3.5457e-06, max values: 42.4, median values: 0.3992, and quantile values: 0.25 0.11249\n0.50 0.39920\n0.75 1.50655\nName: 12521, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2768530941, std values: 4.796630801148319, min values: 1.7628e-06, max values: 40.017, median values: 0.17219, and quantile values: 0.25 0.051058\n0.50 0.172190\n0.75 0.704715\nName: 12522, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6006635476729558, std values: 5.1310193028853615, min values: 2.889e-06, max values: 42.092, median values: 0.24917, and quantile values: 0.25 0.080951\n0.50 0.249170\n0.75 1.017450\nName: 12523, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5693414671883645, std values: 5.037428751729097, min values: 4.8625e-07, max values: 42.774, median values: 0.24254, and quantile values: 0.25 0.063740\n0.50 0.242540\n0.75 0.954525\nName: 12524, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.654906183347799, std values: 5.230251737722928, min values: 1.5452e-06, max values: 43.891, median values: 0.29279, and quantile values: 0.25 0.063716\n0.50 0.292790\n0.75 1.011850\nName: 12525, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6723504360650314, std values: 5.070952090971168, min values: 5.0974e-07, max values: 41.3, median values: 0.25756, and quantile values: 0.25 0.067201\n0.50 0.257560\n0.75 1.152850\nName: 12526, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3895767643410692, std values: 4.9360372387295754, min values: 3.7333e-07, max values: 41.492, median values: 0.1807, and quantile values: 0.25 0.051493\n0.50 0.180700\n0.75 0.812970\nName: 12527, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.396972329325283, std values: 4.6548800406757955, min values: 2.0782e-07, max values: 37.756, median values: 0.1913, and quantile values: 0.25 0.053657\n0.50 0.191300\n0.75 0.835565\nName: 12528, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.438724060883019, std values: 4.823308519451207, min values: 1.9569e-06, max values: 39.294, median values: 0.23329, and quantile values: 0.25 0.064449\n0.50 0.233290\n0.75 0.866075\nName: 12529, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.692371661963522, std values: 5.518012594650229, min values: 8.5252e-06, max values: 44.382, median values: 0.24453, and quantile values: 0.25 0.073929\n0.50 0.244530\n0.75 0.899610\nName: 12530, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6255372773578614, std values: 4.978547160627288, min values: 1.6118e-06, max values: 39.072, median values: 0.26961, and quantile values: 0.25 0.073228\n0.50 0.269610\n0.75 1.103650\nName: 12531, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.586957284203459, std values: 5.0048661243939545, min values: 1.1035e-07, max values: 41.546, median values: 0.2192, and quantile values: 0.25 0.0618\n0.50 0.2192\n0.75 1.0139\nName: 12532, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2588667454445788, std values: 4.679776235551617, min values: 1.7998e-08, max values: 37.511, median values: 0.14516, and quantile values: 0.25 0.042327\n0.50 0.145160\n0.75 0.628785\nName: 12533, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4932445869314466, std values: 4.990108087471515, min values: 1.0025e-06, max values: 40.502, median values: 0.22968, and quantile values: 0.25 0.061648\n0.50 0.229680\n0.75 0.953675\nName: 12534, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3927328618169812, std values: 4.672541392327127, min values: 1.6061e-06, max values: 38.792, median values: 0.21581, and quantile values: 0.25 0.063281\n0.50 0.215810\n0.75 0.841185\nName: 12535, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.344274759230189, std values: 4.689232185791316, min values: 1.4941e-06, max values: 38.5, median values: 0.18446, and quantile values: 0.25 0.061442\n0.50 0.184460\n0.75 0.768930\nName: 12536, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6100001957345913, std values: 4.9486222074308195, min values: 1.8532e-06, max values: 38.814, median values: 0.25591, and quantile values: 0.25 0.072304\n0.50 0.255910\n0.75 1.091050\nName: 12537, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.655144792745912, std values: 5.095782980527983, min values: 3.5236e-06, max values: 40.386, median values: 0.26765, and quantile values: 0.25 0.072957\n0.50 0.267650\n0.75 0.990060\nName: 12538, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.306356003587673, std values: 4.520573158622907, min values: 5.4554e-07, max values: 37.874, median values: 0.16292, and quantile values: 0.25 0.053540\n0.50 0.162920\n0.75 0.719595\nName: 12539, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4249156296955283, std values: 4.964372181277326, min values: 1.6889e-08, max values: 41.873, median values: 0.16965, and quantile values: 0.25 0.050281\n0.50 0.169650\n0.75 0.785415\nName: 12540, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.475538504410063, std values: 4.900935533647905, min values: 1.6318e-06, max values: 39.902, median values: 0.22532, and quantile values: 0.25 0.065973\n0.50 0.225320\n0.75 0.924205\nName: 12541, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6050078179314464, std values: 4.936760520637232, min values: 3.0272e-06, max values: 39.648, median values: 0.25657, and quantile values: 0.25 0.079410\n0.50 0.256570\n0.75 1.007355\nName: 12542, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7618361242710692, std values: 5.292657462481154, min values: 3.7155e-06, max values: 43.186, median values: 0.28412, and quantile values: 0.25 0.084737\n0.50 0.284120\n0.75 1.162900\nName: 12543, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5547395107968554, std values: 4.976488905183156, min values: 2.9328e-06, max values: 39.417, median values: 0.2416, and quantile values: 0.25 0.07669\n0.50 0.24160\n0.75 0.96551\nName: 12544, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6291821233421382, std values: 5.3225310871275715, min values: 4.8664e-06, max values: 43.845, median values: 0.27146, and quantile values: 0.25 0.074094\n0.50 0.271460\n0.75 0.932610\nName: 12545, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.509203411832956, std values: 4.782578021860339, min values: 2.357e-08, max values: 38.589, median values: 0.21822, and quantile values: 0.25 0.049682\n0.50 0.218220\n0.75 0.898115\nName: 12546, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7194349754817613, std values: 5.393397974871837, min values: 4.9572e-06, max values: 44.688, median values: 0.29668, and quantile values: 0.25 0.076688\n0.50 0.296680\n0.75 0.992025\nName: 12547, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.475607670744025, std values: 4.851008914503064, min values: 1.8873e-06, max values: 38.52, median values: 0.23857, and quantile values: 0.25 0.075322\n0.50 0.238570\n0.75 0.913430\nName: 12548, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6299799808062894, std values: 5.190451436472996, min values: 6.2092e-06, max values: 41.662, median values: 0.25279, and quantile values: 0.25 0.081196\n0.50 0.252790\n0.75 0.962385\nName: 12549, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3528391710942766, std values: 4.999867195713637, min values: 9.4349e-07, max values: 41.443, median values: 0.15892, and quantile values: 0.25 0.046753\n0.50 0.158920\n0.75 0.736185\nName: 12550, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4522424661943396, std values: 4.8638341139015795, min values: 2.2554e-06, max values: 39.228, median values: 0.24599, and quantile values: 0.25 0.060997\n0.50 0.245990\n0.75 0.920635\nName: 12551, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5289287606880502, std values: 4.920884210191194, min values: 3.3351e-06, max values: 40.145, median values: 0.22736, and quantile values: 0.25 0.068126\n0.50 0.227360\n0.75 0.928130\nName: 12552, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2620489126682453, std values: 4.830489162565073, min values: 6.1561e-08, max values: 42.363, median values: 0.11356, and quantile values: 0.25 0.030089\n0.50 0.113560\n0.75 0.563310\nName: 12553, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6218579140257863, std values: 5.313040528179511, min values: 5.3369e-06, max values: 42.325, median values: 0.26265, and quantile values: 0.25 0.066637\n0.50 0.262650\n0.75 0.926345\nName: 12554, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.637530121616352, std values: 4.826848178282512, min values: 2.0829e-06, max values: 39.584, median values: 0.26738, and quantile values: 0.25 0.080021\n0.50 0.267380\n0.75 1.109150\nName: 12555, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4531307057515723, std values: 4.859316586785533, min values: 1.5853e-06, max values: 38.573, median values: 0.21013, and quantile values: 0.25 0.068826\n0.50 0.210130\n0.75 0.846225\nName: 12556, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4047521525304403, std values: 4.673486707225988, min values: 7.6644e-07, max values: 37.409, median values: 0.1929, and quantile values: 0.25 0.049472\n0.50 0.192900\n0.75 0.831095\nName: 12557, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4971806926245286, std values: 5.096703165850479, min values: 8.357e-07, max values: 43.795, median values: 0.25192, and quantile values: 0.25 0.073863\n0.50 0.251920\n0.75 0.876960\nName: 12558, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2292480652740883, std values: 4.529668211298531, min values: 4.6308e-07, max values: 37.414, median values: 0.15823, and quantile values: 0.25 0.045121\n0.50 0.158230\n0.75 0.641670\nName: 12559, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2004106973284905, std values: 4.552296340623468, min values: 4.7123e-07, max values: 37.815, median values: 0.14544, and quantile values: 0.25 0.04194\n0.50 0.14544\n0.75 0.63855\nName: 12560, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3498926347283018, std values: 4.573446655952817, min values: 2.5588e-06, max values: 39.394, median values: 0.21134, and quantile values: 0.25 0.062826\n0.50 0.211340\n0.75 0.804570\nName: 12561, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2272757544342139, std values: 4.7182030664503385, min values: 1.813e-08, max values: 38.439, median values: 0.14304, and quantile values: 0.25 0.041812\n0.50 0.143040\n0.75 0.626320\nName: 12562, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4977005715023208, std values: 4.69496959262229, min values: 4.6979e-08, max values: 36.572, median values: 0.19684, and quantile values: 0.25 0.054448\n0.50 0.196840\n0.75 0.896780\nName: 12563, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.345640543727673, std values: 5.008580993654634, min values: 2.7514e-06, max values: 40.503, median values: 0.18024, and quantile values: 0.25 0.049432\n0.50 0.180240\n0.75 0.619405\nName: 12564, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5780524287358488, std values: 5.002573556584832, min values: 2.3428e-06, max values: 39.928, median values: 0.26484, and quantile values: 0.25 0.076194\n0.50 0.264840\n0.75 0.985115\nName: 12565, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7813178958371068, std values: 5.29699794190422, min values: 3.0045e-06, max values: 43.637, median values: 0.30243, and quantile values: 0.25 0.088057\n0.50 0.302430\n0.75 1.229800\nName: 12566, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.352547804254088, std values: 4.78712975711556, min values: 1.2705e-06, max values: 38.875, median values: 0.18508, and quantile values: 0.25 0.053773\n0.50 0.185080\n0.75 0.793665\nName: 12567, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4307760098779874, std values: 4.786120133463715, min values: 1.3912e-06, max values: 38.913, median values: 0.21942, and quantile values: 0.25 0.062997\n0.50 0.219420\n0.75 0.860185\nName: 12568, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6137850597528303, std values: 5.256544810346262, min values: 1.4905e-06, max values: 44.952, median values: 0.2321, and quantile values: 0.25 0.063645\n0.50 0.232100\n0.75 0.929370\nName: 12569, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.401690047892264, std values: 4.853040641434565, min values: 4.4997e-07, max values: 39.866, median values: 0.20265, and quantile values: 0.25 0.059953\n0.50 0.202650\n0.75 0.806910\nName: 12570, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2783300897984904, std values: 4.638648354250163, min values: 5.2666e-07, max values: 37.511, median values: 0.15846, and quantile values: 0.25 0.045304\n0.50 0.158460\n0.75 0.634255\nName: 12571, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5300024882584906, std values: 4.978686204340481, min values: 4.2751e-06, max values: 41.491, median values: 0.2352, and quantile values: 0.25 0.068769\n0.50 0.235200\n0.75 0.821535\nName: 12572, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.528908835983019, std values: 4.873515328359971, min values: 4.5181e-06, max values: 40.313, median values: 0.24494, and quantile values: 0.25 0.077025\n0.50 0.244940\n0.75 0.880375\nName: 12573, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4138908540685535, std values: 4.9338303434221755, min values: 3.9018e-06, max values: 41.142, median values: 0.18777, and quantile values: 0.25 0.066192\n0.50 0.187770\n0.75 0.755650\nName: 12574, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.427130151037547, std values: 4.667353782278468, min values: 1.3417e-07, max values: 37.106, median values: 0.20119, and quantile values: 0.25 0.054481\n0.50 0.201190\n0.75 0.883140\nName: 12575, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4743211024031448, std values: 4.744901261038952, min values: 3.4157e-06, max values: 39.18, median values: 0.23785, and quantile values: 0.25 0.066746\n0.50 0.237850\n0.75 0.876950\nName: 12576, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5465703016552832, std values: 4.8033892037103225, min values: 5.3669e-07, max values: 37.996, median values: 0.24299, and quantile values: 0.25 0.062581\n0.50 0.242990\n0.75 1.055800\nName: 12577, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.347485621362893, std values: 4.753057097266849, min values: 2.2936e-06, max values: 39.66, median values: 0.1947, and quantile values: 0.25 0.060304\n0.50 0.194700\n0.75 0.813470\nName: 12578, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6737233402238993, std values: 5.189026463850549, min values: 2.8341e-06, max values: 42.232, median values: 0.27765, and quantile values: 0.25 0.07457\n0.50 0.27765\n0.75 1.12745\nName: 12579, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4152567959138367, std values: 4.908873853626887, min values: 1.8724e-06, max values: 39.419, median values: 0.20501, and quantile values: 0.25 0.062061\n0.50 0.205010\n0.75 0.784985\nName: 12580, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5707366208630187, std values: 5.0989982342623845, min values: 3.2752e-07, max values: 44.077, median values: 0.23654, and quantile values: 0.25 0.053426\n0.50 0.236540\n0.75 0.960485\nName: 12581, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.465702509216811, std values: 4.768645044271937, min values: 3.4363e-08, max values: 38.475, median values: 0.19187, and quantile values: 0.25 0.046946\n0.50 0.191870\n0.75 0.894185\nName: 12582, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5805506182474842, std values: 4.954776717794241, min values: 8.7255e-07, max values: 39.717, median values: 0.26157, and quantile values: 0.25 0.066972\n0.50 0.261570\n0.75 1.025905\nName: 12583, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3994495805158933, std values: 5.053633357659695, min values: 1.4237e-08, max values: 43.833, median values: 0.17763, and quantile values: 0.25 0.041971\n0.50 0.177630\n0.75 0.778495\nName: 12584, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3533461630169812, std values: 4.634684737440179, min values: 1.824e-06, max values: 39.634, median values: 0.19776, and quantile values: 0.25 0.066698\n0.50 0.197760\n0.75 0.791715\nName: 12585, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4141455137985788, std values: 4.937370283619964, min values: 2.4471e-08, max values: 42.748, median values: 0.19109, and quantile values: 0.25 0.043979\n0.50 0.191090\n0.75 0.776850\nName: 12586, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.453243685072264, std values: 4.956527555115405, min values: 2.533e-08, max values: 42.26, median values: 0.18533, and quantile values: 0.25 0.044102\n0.50 0.185330\n0.75 0.926900\nName: 12587, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5797892745012578, std values: 5.397443604546205, min values: 4.3691e-06, max values: 46.232, median values: 0.24027, and quantile values: 0.25 0.072361\n0.50 0.240270\n0.75 0.906195\nName: 12588, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6414923143679248, std values: 5.175470144381315, min values: 1.1204e-06, max values: 43.76, median values: 0.27244, and quantile values: 0.25 0.071112\n0.50 0.272440\n0.75 1.034345\nName: 12589, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.517339277180755, std values: 4.827466550257628, min values: 2.5374e-07, max values: 38.627, median values: 0.22351, and quantile values: 0.25 0.06172\n0.50 0.22351\n0.75 0.97239\nName: 12590, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.698839129627673, std values: 5.02382200371977, min values: 2.832e-06, max values: 39.443, median values: 0.26926, and quantile values: 0.25 0.081588\n0.50 0.269260\n0.75 1.140600\nName: 12591, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3466465155982392, std values: 4.8198691571440175, min values: 3.3312e-07, max values: 39.182, median values: 0.18078, and quantile values: 0.25 0.053143\n0.50 0.180780\n0.75 0.736500\nName: 12592, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2226527836255974, std values: 4.555597294874533, min values: 8.4737e-07, max values: 39.154, median values: 0.15048, and quantile values: 0.25 0.046245\n0.50 0.150480\n0.75 0.692265\nName: 12593, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.612337960108805, std values: 5.1118787373877135, min values: 2.9101e-06, max values: 41.04, median values: 0.25158, and quantile values: 0.25 0.069461\n0.50 0.251580\n0.75 0.978455\nName: 12594, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3145917594308176, std values: 4.673011974655922, min values: 1.5271e-06, max values: 39.054, median values: 0.19991, and quantile values: 0.25 0.053985\n0.50 0.199910\n0.75 0.738555\nName: 12595, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3859849088339624, std values: 4.871395075797733, min values: 2.4499e-06, max values: 39.571, median values: 0.23221, and quantile values: 0.25 0.058971\n0.50 0.232210\n0.75 0.817200\nName: 12596, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7002041788050315, std values: 5.427392972538187, min values: 3.7726e-06, max values: 46.689, median values: 0.25294, and quantile values: 0.25 0.078106\n0.50 0.252940\n0.75 1.103650\nName: 12597, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.686692179754717, std values: 5.0715317260309485, min values: 2.4652e-06, max values: 40.487, median values: 0.28964, and quantile values: 0.25 0.086496\n0.50 0.289640\n0.75 1.156300\nName: 12598, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3056635199509432, std values: 4.58132761977139, min values: 1.7948e-06, max values: 38.576, median values: 0.17624, and quantile values: 0.25 0.056071\n0.50 0.176240\n0.75 0.761380\nName: 12599, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.38021725835283, std values: 4.754840811932767, min values: 2.2702e-06, max values: 39.223, median values: 0.19639, and quantile values: 0.25 0.054592\n0.50 0.196390\n0.75 0.812750\nName: 12600, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7363424743874212, std values: 5.003485929783042, min values: 1.5735e-06, max values: 38.574, median values: 0.30205, and quantile values: 0.25 0.079734\n0.50 0.302050\n0.75 1.253450\nName: 12601, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6261638812842767, std values: 5.138115216524446, min values: 4.0306e-06, max values: 40.592, median values: 0.27103, and quantile values: 0.25 0.079836\n0.50 0.271030\n0.75 0.930110\nName: 12602, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4646832595044026, std values: 5.025129226650056, min values: 1.8222e-06, max values: 41.633, median values: 0.21792, and quantile values: 0.25 0.064451\n0.50 0.217920\n0.75 0.837310\nName: 12603, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7311495757012578, std values: 5.074342138376967, min values: 1.504e-06, max values: 40.475, median values: 0.30486, and quantile values: 0.25 0.086286\n0.50 0.304860\n0.75 1.186400\nName: 12604, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.491280602472327, std values: 5.1092869651256425, min values: 3.7826e-06, max values: 41.162, median values: 0.21436, and quantile values: 0.25 0.049344\n0.50 0.214360\n0.75 0.962440\nName: 12605, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6792126889722643, std values: 5.059531394498675, min values: 6.0519e-07, max values: 39.976, median values: 0.25248, and quantile values: 0.25 0.067874\n0.50 0.252480\n0.75 1.048150\nName: 12606, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5841684993893081, std values: 5.011139398585077, min values: 2.4613e-06, max values: 39.557, median values: 0.22762, and quantile values: 0.25 0.070676\n0.50 0.227620\n0.75 0.938935\nName: 12607, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5823599946773588, std values: 5.088834823074569, min values: 1.3162e-06, max values: 41.822, median values: 0.22411, and quantile values: 0.25 0.074376\n0.50 0.224110\n0.75 1.010370\nName: 12608, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5341799393577988, std values: 4.885883171256284, min values: 5.3679e-07, max values: 39.235, median values: 0.22327, and quantile values: 0.25 0.063392\n0.50 0.223270\n0.75 0.992440\nName: 12609, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.469813247336478, std values: 4.8730751762264255, min values: 3.234e-06, max values: 39.643, median values: 0.22826, and quantile values: 0.25 0.068804\n0.50 0.228260\n0.75 0.879720\nName: 12610, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.502639325528931, std values: 4.748633045457986, min values: 2.332e-06, max values: 38.528, median values: 0.21088, and quantile values: 0.25 0.060783\n0.50 0.210880\n0.75 0.903320\nName: 12611, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7528622004100627, std values: 5.239876741211282, min values: 1.197e-06, max values: 43.815, median values: 0.32871, and quantile values: 0.25 0.079615\n0.50 0.328710\n0.75 1.200350\nName: 12612, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3370937692345912, std values: 4.86915074264151, min values: 8.3e-07, max values: 39.835, median values: 0.18594, and quantile values: 0.25 0.056386\n0.50 0.185940\n0.75 0.729340\nName: 12613, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4671663065911948, std values: 5.020159920593329, min values: 1.2731e-06, max values: 41.35, median values: 0.19891, and quantile values: 0.25 0.054484\n0.50 0.198910\n0.75 0.848785\nName: 12614, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4103761510496853, std values: 4.718270084973809, min values: 1.6526e-06, max values: 39.611, median values: 0.23853, and quantile values: 0.25 0.061714\n0.50 0.238530\n0.75 0.853285\nName: 12615, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.563798776054088, std values: 5.209956669635855, min values: 3.0298e-06, max values: 42.867, median values: 0.2535, and quantile values: 0.25 0.067168\n0.50 0.253500\n0.75 0.956325\nName: 12616, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2987232275747798, std values: 4.608422143260563, min values: 7.7649e-07, max values: 36.921, median values: 0.18374, and quantile values: 0.25 0.054438\n0.50 0.183740\n0.75 0.735725\nName: 12617, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4748695692094338, std values: 4.985432267296109, min values: 1.3512e-06, max values: 39.883, median values: 0.21486, and quantile values: 0.25 0.061241\n0.50 0.214860\n0.75 0.906645\nName: 12618, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.597246754832327, std values: 4.962441215026689, min values: 8.1414e-07, max values: 39.661, median values: 0.2274, and quantile values: 0.25 0.067788\n0.50 0.227400\n0.75 1.013000\nName: 12619, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3897250217130819, std values: 4.914487329910414, min values: 9.9038e-07, max values: 40.56, median values: 0.19012, and quantile values: 0.25 0.056918\n0.50 0.190120\n0.75 0.784055\nName: 12620, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.589485032918868, std values: 5.0376377880971175, min values: 1.6395e-06, max values: 40.307, median values: 0.25944, and quantile values: 0.25 0.07434\n0.50 0.25944\n0.75 1.02855\nName: 12621, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6726736844761005, std values: 5.088635173853078, min values: 2.3531e-06, max values: 40.774, median values: 0.29945, and quantile values: 0.25 0.077203\n0.50 0.299450\n0.75 1.142650\nName: 12622, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4093477945533774, std values: 4.571957525356629, min values: 4.0131e-08, max values: 35.874, median values: 0.20785, and quantile values: 0.25 0.046361\n0.50 0.207850\n0.75 0.872100\nName: 12623, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5166188164893084, std values: 4.9121222154438735, min values: 3.1649e-06, max values: 38.997, median values: 0.23446, and quantile values: 0.25 0.067617\n0.50 0.234460\n0.75 0.900400\nName: 12624, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6025100071509435, std values: 4.833374897827248, min values: 2.0349e-06, max values: 38.576, median values: 0.30037, and quantile values: 0.25 0.086762\n0.50 0.300370\n0.75 1.074300\nName: 12625, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7111374374943393, std values: 4.99528279692395, min values: 4.1088e-06, max values: 39.489, median values: 0.27914, and quantile values: 0.25 0.091399\n0.50 0.279140\n0.75 1.150150\nName: 12626, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5894050442125787, std values: 4.872992518218382, min values: 1.5045e-06, max values: 38.397, median values: 0.2528, and quantile values: 0.25 0.072576\n0.50 0.252800\n0.75 1.093350\nName: 12627, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5485825660672956, std values: 4.911188792827508, min values: 1.8448e-06, max values: 38.861, median values: 0.25916, and quantile values: 0.25 0.071705\n0.50 0.259160\n0.75 0.974490\nName: 12628, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3012174491132076, std values: 4.946028503801218, min values: 1.733e-06, max values: 41.649, median values: 0.18493, and quantile values: 0.25 0.058327\n0.50 0.184930\n0.75 0.687545\nName: 12629, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6087459081597484, std values: 5.1039527914125955, min values: 2.13e-06, max values: 41.649, median values: 0.25898, and quantile values: 0.25 0.079697\n0.50 0.258980\n0.75 1.041450\nName: 12630, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4227956757937106, std values: 4.932458414561937, min values: 3.3801e-06, max values: 40.126, median values: 0.21468, and quantile values: 0.25 0.061367\n0.50 0.214680\n0.75 0.771835\nName: 12631, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.587057507881761, std values: 4.914015203796901, min values: 2.0898e-06, max values: 39.427, median values: 0.27408, and quantile values: 0.25 0.074312\n0.50 0.274080\n0.75 1.038265\nName: 12632, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2886460799628932, std values: 4.5501817496934605, min values: 2.883e-07, max values: 37.642, median values: 0.19128, and quantile values: 0.25 0.052433\n0.50 0.191280\n0.75 0.686685\nName: 12633, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5947482276748428, std values: 5.1182762449614305, min values: 1.4338e-06, max values: 42.015, median values: 0.23073, and quantile values: 0.25 0.070414\n0.50 0.230730\n0.75 1.020800\nName: 12634, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5899131233171697, std values: 5.05764912679255, min values: 5.6973e-07, max values: 42.166, median values: 0.25002, and quantile values: 0.25 0.06423\n0.50 0.25002\n0.75 1.04390\nName: 12635, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7678719113088048, std values: 5.315419442892955, min values: 5.2062e-06, max values: 42.572, median values: 0.29506, and quantile values: 0.25 0.080822\n0.50 0.295060\n0.75 1.192350\nName: 12636, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6684519261823898, std values: 5.302713347795834, min values: 3.6245e-06, max values: 44.547, median values: 0.2648, and quantile values: 0.25 0.07989\n0.50 0.26480\n0.75 1.06875\nName: 12637, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3530559659125097, std values: 4.5501033727303435, min values: 2.0389e-08, max values: 36.922, median values: 0.19253, and quantile values: 0.25 0.050902\n0.50 0.192530\n0.75 0.762865\nName: 12638, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.515498755137736, std values: 5.006070454157158, min values: 1.6785e-06, max values: 40.874, median values: 0.26168, and quantile values: 0.25 0.071739\n0.50 0.261680\n0.75 0.899605\nName: 12639, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5071172374830186, std values: 4.969395903643976, min values: 1.9483e-06, max values: 40.449, median values: 0.21851, and quantile values: 0.25 0.068799\n0.50 0.218510\n0.75 0.826880\nName: 12640, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.331746171774591, std values: 4.600568102270061, min values: 1.7716e-07, max values: 37.68, median values: 0.19337, and quantile values: 0.25 0.051580\n0.50 0.193370\n0.75 0.781765\nName: 12641, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6241221500144651, std values: 4.990533906098593, min values: 1.6158e-06, max values: 39.796, median values: 0.25101, and quantile values: 0.25 0.072924\n0.50 0.251010\n0.75 1.043100\nName: 12642, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5702112407823898, std values: 4.836481238434595, min values: 1.1413e-06, max values: 38.342, median values: 0.24806, and quantile values: 0.25 0.073826\n0.50 0.248060\n0.75 1.070350\nName: 12643, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4813241599025155, std values: 4.84620035928287, min values: 8.245e-07, max values: 38.341, median values: 0.21483, and quantile values: 0.25 0.063456\n0.50 0.214830\n0.75 0.906340\nName: 12644, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2854032036311949, std values: 4.524569185518197, min values: 2.4486e-07, max values: 37.417, median values: 0.18062, and quantile values: 0.25 0.051419\n0.50 0.180620\n0.75 0.722575\nName: 12645, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2212132525267736, std values: 4.607110618868681, min values: 1.386e-08, max values: 38.514, median values: 0.12188, and quantile values: 0.25 0.023939\n0.50 0.121880\n0.75 0.593965\nName: 12646, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6899957727981132, std values: 5.390099024722464, min values: 2.1841e-06, max values: 46.04, median values: 0.27401, and quantile values: 0.25 0.070916\n0.50 0.274010\n0.75 1.084400\nName: 12647, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.525456052798428, std values: 4.9253040370466445, min values: 9.2425e-07, max values: 39.284, median values: 0.21755, and quantile values: 0.25 0.061187\n0.50 0.217550\n0.75 0.947950\nName: 12648, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7080296130163524, std values: 4.988892001623806, min values: 1.2552e-06, max values: 38.573, median values: 0.27853, and quantile values: 0.25 0.081001\n0.50 0.278530\n0.75 1.135000\nName: 12649, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7245334336132079, std values: 5.0685552921637065, min values: 3.5581e-06, max values: 39.873, median values: 0.30036, and quantile values: 0.25 0.085752\n0.50 0.300360\n0.75 1.218000\nName: 12650, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.304945225936478, std values: 4.856322132842697, min values: 1.0161e-06, max values: 39.505, median values: 0.17823, and quantile values: 0.25 0.046120\n0.50 0.178230\n0.75 0.686255\nName: 12651, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3136830253387421, std values: 4.846344089122826, min values: 5.3096e-07, max values: 40.033, median values: 0.16554, and quantile values: 0.25 0.055275\n0.50 0.165540\n0.75 0.718030\nName: 12652, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3938890595842768, std values: 4.75375320486148, min values: 2.187e-06, max values: 39.756, median values: 0.1988, and quantile values: 0.25 0.066169\n0.50 0.198800\n0.75 0.838130\nName: 12653, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.070953631183648, std values: 6.0326678038893675, min values: 2.0093e-06, max values: 55.044, median values: 0.35256, and quantile values: 0.25 0.10139\n0.50 0.35256\n0.75 1.43110\nName: 12654, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3304061742332707, std values: 4.529744626220659, min values: 5.6259e-07, max values: 38.647, median values: 0.19037, and quantile values: 0.25 0.058023\n0.50 0.190370\n0.75 0.779370\nName: 12655, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4790944236372956, std values: 5.077522050705074, min values: 9.733e-08, max values: 43.892, median values: 0.19258, and quantile values: 0.25 0.052319\n0.50 0.192580\n0.75 0.888300\nName: 12656, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.433034172854025, std values: 5.181077871712914, min values: 7.0479e-07, max values: 44.955, median values: 0.15499, and quantile values: 0.25 0.053193\n0.50 0.154990\n0.75 0.865415\nName: 12657, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8221685880974845, std values: 5.365250224308485, min values: 1.3614e-06, max values: 45.653, median values: 0.34895, and quantile values: 0.25 0.096634\n0.50 0.348950\n0.75 1.285500\nName: 12658, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3792976285974843, std values: 4.853454663390527, min values: 4.02e-06, max values: 40.203, median values: 0.20235, and quantile values: 0.25 0.052426\n0.50 0.202350\n0.75 0.739790\nName: 12659, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7016496515490565, std values: 5.122660774538908, min values: 1.5952e-06, max values: 41.277, median values: 0.26128, and quantile values: 0.25 0.077183\n0.50 0.261280\n0.75 1.161750\nName: 12660, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.583195364659308, std values: 5.0399262128347875, min values: 9.1943e-07, max values: 41.703, median values: 0.27905, and quantile values: 0.25 0.068704\n0.50 0.279050\n0.75 0.998170\nName: 12661, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3785206666611949, std values: 4.68608505474008, min values: 5.5233e-07, max values: 37.26, median values: 0.16729, and quantile values: 0.25 0.048418\n0.50 0.167290\n0.75 0.778495\nName: 12662, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.396679296498742, std values: 5.119830376613345, min values: 2.1435e-06, max values: 43.302, median values: 0.18653, and quantile values: 0.25 0.057692\n0.50 0.186530\n0.75 0.750150\nName: 12663, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4199874068037737, std values: 4.9127776058093975, min values: 1.328e-06, max values: 39.62, median values: 0.20293, and quantile values: 0.25 0.059426\n0.50 0.202930\n0.75 0.774205\nName: 12664, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7960355513801256, std values: 5.203742552830776, min values: 8.3954e-07, max values: 42.678, median values: 0.25456, and quantile values: 0.25 0.066656\n0.50 0.254560\n0.75 1.238300\nName: 12665, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3972067976302516, std values: 4.940464976556024, min values: 3.9071e-07, max values: 41.523, median values: 0.18376, and quantile values: 0.25 0.053298\n0.50 0.183760\n0.75 0.808015\nName: 12666, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4313229282646414, std values: 4.858035200399675, min values: 8.3648e-08, max values: 40.447, median values: 0.1868, and quantile values: 0.25 0.052741\n0.50 0.186800\n0.75 0.804620\nName: 12667, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4841003535496855, std values: 4.9837747794507585, min values: 3.2801e-06, max values: 40.215, median values: 0.24842, and quantile values: 0.25 0.063806\n0.50 0.248420\n0.75 0.866210\nName: 12668, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5274361742654088, std values: 4.815403792831714, min values: 2.026e-06, max values: 38.286, median values: 0.2401, and quantile values: 0.25 0.069070\n0.50 0.240100\n0.75 0.968265\nName: 12669, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.413173280507547, std values: 4.967652586022891, min values: 3.0356e-06, max values: 40.177, median values: 0.18834, and quantile values: 0.25 0.05855\n0.50 0.18834\n0.75 0.87375\nName: 12670, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7050605845603777, std values: 5.014074370209524, min values: 1.2181e-06, max values: 39.434, median values: 0.30553, and quantile values: 0.25 0.077745\n0.50 0.305530\n0.75 1.210750\nName: 12671, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.49119397447044, std values: 5.28465578882431, min values: 5.3493e-06, max values: 43.677, median values: 0.2129, and quantile values: 0.25 0.064574\n0.50 0.212900\n0.75 0.750985\nName: 12672, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4266678546994087, std values: 5.069773291446178, min values: 4.2326e-08, max values: 44.134, median values: 0.16166, and quantile values: 0.25 0.049655\n0.50 0.161660\n0.75 0.766430\nName: 12673, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.411376729899874, std values: 4.703334308046752, min values: 6.9978e-07, max values: 37.593, median values: 0.20693, and quantile values: 0.25 0.056617\n0.50 0.206930\n0.75 0.857480\nName: 12674, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.597943530018239, std values: 5.029211896049443, min values: 2.1929e-06, max values: 39.839, median values: 0.25331, and quantile values: 0.25 0.068095\n0.50 0.253310\n0.75 1.034585\nName: 12675, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3867394805967546, std values: 4.833091993222998, min values: 9.6384e-08, max values: 39.538, median values: 0.18381, and quantile values: 0.25 0.053985\n0.50 0.183810\n0.75 0.754160\nName: 12676, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9661557573327044, std values: 5.585698562891138, min values: 6.259e-07, max values: 47.059, median values: 0.38612, and quantile values: 0.25 0.095583\n0.50 0.386120\n0.75 1.375350\nName: 12677, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4300509731655409, std values: 4.817146641970283, min values: 1.9974e-08, max values: 40.347, median values: 0.20056, and quantile values: 0.25 0.046147\n0.50 0.200560\n0.75 0.838545\nName: 12678, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4676485737125786, std values: 4.765470063805974, min values: 1.4094e-06, max values: 37.815, median values: 0.22334, and quantile values: 0.25 0.070578\n0.50 0.223340\n0.75 0.926085\nName: 12679, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1773835688529748, std values: 4.883101565867968, min values: 1.5783e-08, max values: 43.433, median values: 0.096771, and quantile values: 0.25 0.024788\n0.50 0.096771\n0.75 0.522385\nName: 12680, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4556887658339621, std values: 4.827283528628164, min values: 1.9384e-06, max values: 39.425, median values: 0.20521, and quantile values: 0.25 0.060456\n0.50 0.205210\n0.75 0.902555\nName: 12681, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5414577854955975, std values: 5.263210299964452, min values: 1.5045e-06, max values: 45.394, median values: 0.21116, and quantile values: 0.25 0.067229\n0.50 0.211160\n0.75 0.922745\nName: 12682, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.608910541727044, std values: 4.951885100504769, min values: 3.5117e-06, max values: 39.502, median values: 0.26908, and quantile values: 0.25 0.075494\n0.50 0.269080\n0.75 1.026900\nName: 12683, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4755756771521384, std values: 4.774602114492971, min values: 4.7629e-07, max values: 38.312, median values: 0.24944, and quantile values: 0.25 0.070162\n0.50 0.249440\n0.75 0.911040\nName: 12684, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3577851239861636, std values: 4.992592393348859, min values: 1.7539e-06, max values: 41.59, median values: 0.20333, and quantile values: 0.25 0.056351\n0.50 0.203330\n0.75 0.738955\nName: 12685, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.517042583898742, std values: 5.107167888119894, min values: 2.941e-06, max values: 41.609, median values: 0.23545, and quantile values: 0.25 0.067713\n0.50 0.235450\n0.75 0.901755\nName: 12686, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3639560514262514, std values: 4.716918884799102, min values: 2.0574e-08, max values: 38.056, median values: 0.19377, and quantile values: 0.25 0.049016\n0.50 0.193770\n0.75 0.802785\nName: 12687, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4408185683657861, std values: 5.059233804072911, min values: 1.4736e-07, max values: 43.713, median values: 0.17698, and quantile values: 0.25 0.044296\n0.50 0.176980\n0.75 0.764205\nName: 12688, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.632358317286163, std values: 5.153613375782846, min values: 0.0, max values: 41.809, median values: 0.26851, and quantile values: 0.25 0.067857\n0.50 0.268510\n0.75 1.097960\nName: 12689, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6361483796339622, std values: 5.082745000338408, min values: 1.6736e-06, max values: 41.309, median values: 0.23688, and quantile values: 0.25 0.073526\n0.50 0.236880\n0.75 1.057050\nName: 12690, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.662379983671069, std values: 5.05330581164663, min values: 2.8538e-06, max values: 40.154, median values: 0.30272, and quantile values: 0.25 0.082099\n0.50 0.302720\n0.75 1.128950\nName: 12691, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4479644034863144, std values: 4.696188470922187, min values: 3.1024e-08, max values: 37.214, median values: 0.19889, and quantile values: 0.25 0.058202\n0.50 0.198890\n0.75 0.869220\nName: 12692, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1917365537974212, std values: 4.6129580109343085, min values: 7.7789e-07, max values: 38.583, median values: 0.13706, and quantile values: 0.25 0.042586\n0.50 0.137060\n0.75 0.559275\nName: 12693, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4425695601454716, std values: 4.696154484308472, min values: 1.9863e-07, max values: 37.61, median values: 0.21743, and quantile values: 0.25 0.058346\n0.50 0.217430\n0.75 0.892465\nName: 12694, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.393844131281132, std values: 4.947406078558164, min values: 4.7073e-06, max values: 40.998, median values: 0.19311, and quantile values: 0.25 0.056368\n0.50 0.193110\n0.75 0.663350\nName: 12695, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.471270425143396, std values: 5.180689306906268, min values: 4.1175e-06, max values: 42.495, median values: 0.22658, and quantile values: 0.25 0.058973\n0.50 0.226580\n0.75 0.730290\nName: 12696, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7793690382861636, std values: 5.3360717503929544, min values: 3.4404e-06, max values: 43.567, median values: 0.26933, and quantile values: 0.25 0.090427\n0.50 0.269330\n0.75 1.153400\nName: 12697, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4111089413867923, std values: 4.687416547152264, min values: 2.3574e-06, max values: 39.212, median values: 0.24274, and quantile values: 0.25 0.073155\n0.50 0.242740\n0.75 0.849545\nName: 12698, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6216533718320751, std values: 5.077158011061357, min values: 2.107e-06, max values: 40.702, median values: 0.28489, and quantile values: 0.25 0.074732\n0.50 0.284890\n0.75 1.081250\nName: 12699, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5250956885276727, std values: 5.031362229995857, min values: 3.3059e-06, max values: 40.85, median values: 0.25222, and quantile values: 0.25 0.067955\n0.50 0.252220\n0.75 0.872065\nName: 12700, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4613155627503143, std values: 4.75579036555313, min values: 1.2767e-06, max values: 37.909, median values: 0.1965, and quantile values: 0.25 0.057231\n0.50 0.196500\n0.75 0.842070\nName: 12701, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2047167373580503, std values: 4.785795825870219, min values: 3.2623e-07, max values: 39.397, median values: 0.14306, and quantile values: 0.25 0.042071\n0.50 0.143060\n0.75 0.579770\nName: 12702, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4030626122597483, std values: 4.902629890993486, min values: 3.4551e-06, max values: 40.089, median values: 0.20454, and quantile values: 0.25 0.063063\n0.50 0.204540\n0.75 0.737035\nName: 12703, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6757556488044025, std values: 4.989725419578923, min values: 3.4966e-06, max values: 39.528, median values: 0.28173, and quantile values: 0.25 0.082041\n0.50 0.281730\n0.75 1.079400\nName: 12704, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2809443654132076, std values: 5.014628826021538, min values: 1.1014e-06, max values: 43.311, median values: 0.1431, and quantile values: 0.25 0.053904\n0.50 0.143100\n0.75 0.649550\nName: 12705, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8292690673238996, std values: 5.538528623596009, min values: 1.7756e-06, max values: 48.387, median values: 0.3267, and quantile values: 0.25 0.082215\n0.50 0.326700\n0.75 1.272100\nName: 12706, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3863146161072326, std values: 4.822080778088187, min values: 4.4625e-07, max values: 39.917, median values: 0.21956, and quantile values: 0.25 0.058171\n0.50 0.219560\n0.75 0.770755\nName: 12707, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.375809880396038, std values: 4.7744213603817185, min values: 6.4427e-07, max values: 38.112, median values: 0.18911, and quantile values: 0.25 0.055765\n0.50 0.189110\n0.75 0.767645\nName: 12708, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3450953070099372, std values: 4.672932415177064, min values: 6.7398e-07, max values: 38.426, median values: 0.1823, and quantile values: 0.25 0.051713\n0.50 0.182300\n0.75 0.803600\nName: 12709, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.462202431655346, std values: 5.13316523286543, min values: 1.4025e-06, max values: 43.881, median values: 0.20975, and quantile values: 0.25 0.053956\n0.50 0.209750\n0.75 0.780710\nName: 12710, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6208424958004966, std values: 5.237158287224861, min values: 3.0979e-08, max values: 45.817, median values: 0.25126, and quantile values: 0.25 0.060256\n0.50 0.251260\n0.75 0.975520\nName: 12711, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3436580596408805, std values: 4.713470624633225, min values: 1.0877e-06, max values: 37.983, median values: 0.20993, and quantile values: 0.25 0.057646\n0.50 0.209930\n0.75 0.733695\nName: 12712, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4454833512100629, std values: 4.895646337003707, min values: 3.4855e-06, max values: 40.612, median values: 0.23459, and quantile values: 0.25 0.065824\n0.50 0.234590\n0.75 0.796730\nName: 12713, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5096745267792453, std values: 4.83917413756269, min values: 2.6716e-06, max values: 39.768, median values: 0.23617, and quantile values: 0.25 0.071095\n0.50 0.236170\n0.75 0.876390\nName: 12714, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4158159629672955, std values: 4.753258239814681, min values: 1.6268e-06, max values: 38.974, median values: 0.20762, and quantile values: 0.25 0.058104\n0.50 0.207620\n0.75 0.870490\nName: 12715, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4508529965428554, std values: 4.816008387864805, min values: 2.3854e-08, max values: 39.854, median values: 0.20308, and quantile values: 0.25 0.044066\n0.50 0.203080\n0.75 0.789925\nName: 12716, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.608618282343396, std values: 5.051651976835593, min values: 2.5255e-06, max values: 40.214, median values: 0.29372, and quantile values: 0.25 0.072048\n0.50 0.293720\n0.75 1.052045\nName: 12717, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7302943657025158, std values: 5.127107479706356, min values: 2.7517e-06, max values: 40.11, median values: 0.29536, and quantile values: 0.25 0.085044\n0.50 0.295360\n0.75 1.139300\nName: 12718, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3934941048533336, std values: 4.971424549070832, min values: 2.6258e-07, max values: 42.298, median values: 0.18286, and quantile values: 0.25 0.046793\n0.50 0.182860\n0.75 0.757580\nName: 12719, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3597760612203145, std values: 4.578615484623232, min values: 6.8113e-07, max values: 36.943, median values: 0.19995, and quantile values: 0.25 0.056605\n0.50 0.199950\n0.75 0.770680\nName: 12720, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4743251225805662, std values: 4.842961025925861, min values: 7.9221e-07, max values: 38.677, median values: 0.24947, and quantile values: 0.25 0.061427\n0.50 0.249470\n0.75 0.931710\nName: 12721, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3019803040511506, std values: 4.550517028452012, min values: 1.9744e-08, max values: 36.228, median values: 0.16526, and quantile values: 0.25 0.033488\n0.50 0.165260\n0.75 0.699820\nName: 12722, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4484600912465408, std values: 4.988376972989647, min values: 3.0636e-06, max values: 40.852, median values: 0.1805, and quantile values: 0.25 0.055949\n0.50 0.180500\n0.75 0.769735\nName: 12723, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4257339452540883, std values: 4.734000126065388, min values: 2.1081e-06, max values: 40.026, median values: 0.21932, and quantile values: 0.25 0.068513\n0.50 0.219320\n0.75 0.838150\nName: 12724, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4759146365044025, std values: 4.889408578802374, min values: 1.6245e-06, max values: 39.106, median values: 0.23866, and quantile values: 0.25 0.059867\n0.50 0.238660\n0.75 0.837410\nName: 12725, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4029638462798744, std values: 4.838871720394025, min values: 1.5343e-06, max values: 39.471, median values: 0.21242, and quantile values: 0.25 0.061002\n0.50 0.212420\n0.75 0.783340\nName: 12726, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.657923581108805, std values: 5.183681020974927, min values: 2.6555e-06, max values: 42.654, median values: 0.25377, and quantile values: 0.25 0.076947\n0.50 0.253770\n0.75 1.087000\nName: 12727, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5607396447584907, std values: 5.076289857954501, min values: 1.3818e-06, max values: 41.964, median values: 0.24865, and quantile values: 0.25 0.065237\n0.50 0.248650\n0.75 0.972795\nName: 12728, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7102527337245281, std values: 5.157334728386411, min values: 1.2784e-06, max values: 42.278, median values: 0.27405, and quantile values: 0.25 0.080933\n0.50 0.274050\n0.75 1.185450\nName: 12729, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6387157208226413, std values: 5.139370267221221, min values: 6.6894e-06, max values: 41.272, median values: 0.25992, and quantile values: 0.25 0.068861\n0.50 0.259920\n0.75 0.976480\nName: 12730, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3740607227520942, std values: 5.195508852390746, min values: 1.7837e-08, max values: 48.076, median values: 0.14921, and quantile values: 0.25 0.033379\n0.50 0.149210\n0.75 0.661845\nName: 12731, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.447712686455346, std values: 5.049949192412775, min values: 3.5089e-06, max values: 40.777, median values: 0.22269, and quantile values: 0.25 0.068618\n0.50 0.222690\n0.75 0.731020\nName: 12732, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6171334382075468, std values: 5.166159779107351, min values: 2.6089e-06, max values: 43.015, median values: 0.27135, and quantile values: 0.25 0.073873\n0.50 0.271350\n0.75 1.072050\nName: 12733, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5474774066062893, std values: 4.877753396959387, min values: 2.631e-07, max values: 38.945, median values: 0.21572, and quantile values: 0.25 0.055419\n0.50 0.215720\n0.75 0.985125\nName: 12734, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4067032800056605, std values: 4.8928807200778985, min values: 2.1259e-06, max values: 39.464, median values: 0.2197, and quantile values: 0.25 0.065683\n0.50 0.219700\n0.75 0.854305\nName: 12735, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4459215956685534, std values: 5.090278375175822, min values: 7.342e-07, max values: 44.152, median values: 0.19424, and quantile values: 0.25 0.062888\n0.50 0.194240\n0.75 0.814270\nName: 12736, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3303738548182393, std values: 4.9690378347333155, min values: 2.8524e-06, max values: 40.562, median values: 0.17811, and quantile values: 0.25 0.053127\n0.50 0.178110\n0.75 0.644960\nName: 12737, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2123732586113207, std values: 4.586362760541491, min values: 1.7439e-06, max values: 39.213, median values: 0.14914, and quantile values: 0.25 0.049344\n0.50 0.149140\n0.75 0.651620\nName: 12738, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5050105433259118, std values: 4.948953828413768, min values: 9.3162e-07, max values: 39.359, median values: 0.22026, and quantile values: 0.25 0.065468\n0.50 0.220260\n0.75 0.960670\nName: 12739, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.216180320761006, std values: 4.845312812496503, min values: 1.2209e-06, max values: 39.478, median values: 0.15135, and quantile values: 0.25 0.038105\n0.50 0.151350\n0.75 0.660330\nName: 12740, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4672406082849054, std values: 4.857905629472289, min values: 3.5959e-06, max values: 40.158, median values: 0.21522, and quantile values: 0.25 0.064856\n0.50 0.215220\n0.75 0.875505\nName: 12741, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2018889234245282, std values: 4.589854810771481, min values: 1.4609e-07, max values: 36.627, median values: 0.13225, and quantile values: 0.25 0.032376\n0.50 0.132250\n0.75 0.603895\nName: 12742, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2618176338836478, std values: 4.613999801979162, min values: 2.0302e-06, max values: 39.616, median values: 0.16267, and quantile values: 0.25 0.051654\n0.50 0.162670\n0.75 0.706795\nName: 12743, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3799944447774843, std values: 4.895415972677252, min values: 3.0652e-07, max values: 40.941, median values: 0.16941, and quantile values: 0.25 0.050567\n0.50 0.169410\n0.75 0.789765\nName: 12744, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6281493092415094, std values: 4.933074527999582, min values: 2.243e-06, max values: 39.303, median values: 0.26823, and quantile values: 0.25 0.077343\n0.50 0.268230\n0.75 0.990185\nName: 12745, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.437799790759365, std values: 4.864140224126613, min values: 1.9577e-08, max values: 41.014, median values: 0.18538, and quantile values: 0.25 0.038949\n0.50 0.185380\n0.75 0.770615\nName: 12746, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4443394472641509, std values: 5.157006085082048, min values: 1.3142e-06, max values: 44.184, median values: 0.1983, and quantile values: 0.25 0.063518\n0.50 0.198300\n0.75 0.830765\nName: 12747, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.578269829965409, std values: 5.1238035823764525, min values: 2.2104e-06, max values: 42.059, median values: 0.23716, and quantile values: 0.25 0.06708\n0.50 0.23716\n0.75 0.95343\nName: 12748, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4449228565701884, std values: 4.785108075426161, min values: 5.3556e-07, max values: 38.031, median values: 0.21481, and quantile values: 0.25 0.057244\n0.50 0.214810\n0.75 0.813475\nName: 12749, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.488128247037736, std values: 4.697698500243432, min values: 1.701e-06, max values: 38.89, median values: 0.21329, and quantile values: 0.25 0.067886\n0.50 0.213290\n0.75 0.952130\nName: 12750, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3105954553691825, std values: 4.730732046347905, min values: 1.1505e-06, max values: 39.029, median values: 0.17286, and quantile values: 0.25 0.055981\n0.50 0.172860\n0.75 0.703760\nName: 12751, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4691411038735849, std values: 5.058987153684649, min values: 7.6873e-06, max values: 42.271, median values: 0.20775, and quantile values: 0.25 0.055928\n0.50 0.207750\n0.75 0.737130\nName: 12752, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.329402936507547, std values: 4.655940289493132, min values: 4.1477e-06, max values: 40.467, median values: 0.19442, and quantile values: 0.25 0.062738\n0.50 0.194420\n0.75 0.712840\nName: 12753, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3930341134918238, std values: 4.691972656332599, min values: 1.7544e-06, max values: 39.154, median values: 0.20652, and quantile values: 0.25 0.059949\n0.50 0.206520\n0.75 0.829875\nName: 12754, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5309332408049057, std values: 4.948283709009359, min values: 7.4508e-07, max values: 39.878, median values: 0.25595, and quantile values: 0.25 0.062614\n0.50 0.255950\n0.75 0.957735\nName: 12755, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.485293846918868, std values: 4.950098099101124, min values: 5.033e-07, max values: 40.647, median values: 0.20334, and quantile values: 0.25 0.065349\n0.50 0.203340\n0.75 0.934645\nName: 12756, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5458311649372956, std values: 4.958600923940361, min values: 4.8243e-07, max values: 40.928, median values: 0.2341, and quantile values: 0.25 0.055141\n0.50 0.234100\n0.75 0.935885\nName: 12757, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5701768748817608, std values: 5.017903540477473, min values: 2.8162e-06, max values: 39.987, median values: 0.25048, and quantile values: 0.25 0.077706\n0.50 0.250480\n0.75 0.997775\nName: 12758, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4589600751974843, std values: 4.959211161147173, min values: 2.94e-06, max values: 39.815, median values: 0.24575, and quantile values: 0.25 0.067479\n0.50 0.245750\n0.75 0.811030\nName: 12759, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4107107653408806, std values: 4.702300383920378, min values: 1.1303e-06, max values: 38.163, median values: 0.20689, and quantile values: 0.25 0.055762\n0.50 0.206890\n0.75 0.780100\nName: 12760, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3982252133488051, std values: 4.89916725578874, min values: 8.3326e-07, max values: 40.215, median values: 0.18384, and quantile values: 0.25 0.053274\n0.50 0.183840\n0.75 0.761880\nName: 12761, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4105517042088052, std values: 5.016719151857247, min values: 2.3048e-07, max values: 43.185, median values: 0.17789, and quantile values: 0.25 0.048564\n0.50 0.177890\n0.75 0.752190\nName: 12762, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5139967834358492, std values: 4.83839536063785, min values: 1.2148e-06, max values: 38.239, median values: 0.2501, and quantile values: 0.25 0.066700\n0.50 0.250100\n0.75 0.962395\nName: 12763, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4709692209327043, std values: 4.948720821245157, min values: 2.3434e-06, max values: 39.49, median values: 0.21012, and quantile values: 0.25 0.060049\n0.50 0.210120\n0.75 0.887245\nName: 12764, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5205129908182389, std values: 4.7640571050340865, min values: 2.446e-06, max values: 39.503, median values: 0.22572, and quantile values: 0.25 0.061482\n0.50 0.225720\n0.75 0.985950\nName: 12765, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5421930640640882, std values: 5.031342958793145, min values: 8.4079e-07, max values: 41.052, median values: 0.23934, and quantile values: 0.25 0.064001\n0.50 0.239340\n0.75 0.934665\nName: 12766, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8639822051955977, std values: 5.318811974838524, min values: 4.3716e-06, max values: 41.573, median values: 0.34548, and quantile values: 0.25 0.090477\n0.50 0.345480\n0.75 1.298700\nName: 12767, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.489519636771069, std values: 4.781284172223799, min values: 1.9376e-06, max values: 37.145, median values: 0.21834, and quantile values: 0.25 0.062051\n0.50 0.218340\n0.75 0.808410\nName: 12768, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3628590525388677, std values: 4.683753628010897, min values: 7.6028e-07, max values: 39.104, median values: 0.18713, and quantile values: 0.25 0.065409\n0.50 0.187130\n0.75 0.783635\nName: 12769, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5569980673094337, std values: 5.206451993496178, min values: 1.2378e-06, max values: 44.489, median values: 0.26264, and quantile values: 0.25 0.064649\n0.50 0.262640\n0.75 0.900245\nName: 12770, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7572687762659118, std values: 5.080392944945839, min values: 5.3398e-07, max values: 40.846, median values: 0.26958, and quantile values: 0.25 0.065779\n0.50 0.269580\n0.75 1.246400\nName: 12771, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5616593935836478, std values: 4.944428788541713, min values: 2.5445e-06, max values: 39.13, median values: 0.24607, and quantile values: 0.25 0.071787\n0.50 0.246070\n0.75 0.960915\nName: 12772, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3141110748075469, std values: 4.867341244812855, min values: 2.3674e-06, max values: 39.431, median values: 0.20129, and quantile values: 0.25 0.056545\n0.50 0.201290\n0.75 0.712200\nName: 12773, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6434684825583648, std values: 5.058447663535705, min values: 2.6878e-07, max values: 41.809, median values: 0.2583, and quantile values: 0.25 0.07177\n0.50 0.25830\n0.75 1.12200\nName: 12774, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3902943021498744, std values: 4.972020827845552, min values: 6.3963e-07, max values: 41.87, median values: 0.21331, and quantile values: 0.25 0.057249\n0.50 0.213310\n0.75 0.828815\nName: 12775, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5075355235761008, std values: 4.940691856908382, min values: 2.8041e-06, max values: 39.358, median values: 0.23908, and quantile values: 0.25 0.072947\n0.50 0.239080\n0.75 0.920650\nName: 12776, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5551751860371068, std values: 4.907609652431967, min values: 1.4484e-06, max values: 38.863, median values: 0.21017, and quantile values: 0.25 0.061294\n0.50 0.210170\n0.75 0.976175\nName: 12777, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.784651941033333, std values: 5.412874178042141, min values: 3.3786e-06, max values: 45.1, median values: 0.29314, and quantile values: 0.25 0.086666\n0.50 0.293140\n0.75 1.214950\nName: 12778, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.295597840742516, std values: 4.823280587265644, min values: 3.3778e-07, max values: 40.219, median values: 0.14166, and quantile values: 0.25 0.037687\n0.50 0.141660\n0.75 0.696720\nName: 12779, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5292973849816354, std values: 4.772048079599154, min values: 5.5508e-07, max values: 38.337, median values: 0.24587, and quantile values: 0.25 0.064184\n0.50 0.245870\n0.75 1.013900\nName: 12780, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4567343676911952, std values: 4.947134314067565, min values: 4.6831e-06, max values: 41.308, median values: 0.22148, and quantile values: 0.25 0.071122\n0.50 0.221480\n0.75 0.782505\nName: 12781, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3425149712861635, std values: 4.8310945795821745, min values: 4.3183e-06, max values: 40.711, median values: 0.19375, and quantile values: 0.25 0.054996\n0.50 0.193750\n0.75 0.658870\nName: 12782, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4500576888484276, std values: 4.702334492952016, min values: 1.5217e-06, max values: 38.773, median values: 0.22847, and quantile values: 0.25 0.069351\n0.50 0.228470\n0.75 0.888910\nName: 12783, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6025823059352202, std values: 5.175597194659982, min values: 2.3252e-06, max values: 42.664, median values: 0.24743, and quantile values: 0.25 0.069053\n0.50 0.247430\n0.75 0.984430\nName: 12784, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5337958593088052, std values: 5.026346130969883, min values: 4.0537e-06, max values: 41.209, median values: 0.23011, and quantile values: 0.25 0.071555\n0.50 0.230110\n0.75 0.903840\nName: 12785, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5250304076371068, std values: 4.815020388906082, min values: 1.1049e-06, max values: 38.2, median values: 0.23858, and quantile values: 0.25 0.071729\n0.50 0.238580\n0.75 0.969975\nName: 12786, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5534508527955975, std values: 4.971350642645828, min values: 1.3222e-06, max values: 39.638, median values: 0.23378, and quantile values: 0.25 0.064289\n0.50 0.233780\n0.75 1.004350\nName: 12787, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3463490179663522, std values: 4.863385864875439, min values: 6.3095e-07, max values: 39.686, median values: 0.17468, and quantile values: 0.25 0.056598\n0.50 0.174680\n0.75 0.770675\nName: 12788, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5350524797943395, std values: 4.95839097949759, min values: 5.3698e-06, max values: 41.076, median values: 0.25456, and quantile values: 0.25 0.075476\n0.50 0.254560\n0.75 0.862105\nName: 12789, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3583246548119496, std values: 4.7631683383439904, min values: 1.197e-06, max values: 38.454, median values: 0.19953, and quantile values: 0.25 0.060152\n0.50 0.199530\n0.75 0.754670\nName: 12790, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5626632632144652, std values: 5.350942847008044, min values: 5.034e-06, max values: 45.113, median values: 0.23188, and quantile values: 0.25 0.072691\n0.50 0.231880\n0.75 0.895975\nName: 12791, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5417683551773584, std values: 4.78489393257624, min values: 1.3877e-06, max values: 38.096, median values: 0.2202, and quantile values: 0.25 0.073141\n0.50 0.220200\n0.75 0.963960\nName: 12792, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.403228310811321, std values: 4.8019624122876, min values: 3.2639e-06, max values: 40.215, median values: 0.20991, and quantile values: 0.25 0.063458\n0.50 0.209910\n0.75 0.769005\nName: 12793, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5354992176489748, std values: 4.847659829444181, min values: 9.8687e-08, max values: 39.072, median values: 0.25326, and quantile values: 0.25 0.06341\n0.50 0.25326\n0.75 1.01965\nName: 12794, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8176100417213836, std values: 5.26771762880813, min values: 2.843e-06, max values: 42.372, median values: 0.31712, and quantile values: 0.25 0.085928\n0.50 0.317120\n0.75 1.302350\nName: 12795, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6445614333811323, std values: 5.1189160546524315, min values: 4.8125e-06, max values: 40.139, median values: 0.24713, and quantile values: 0.25 0.083176\n0.50 0.247130\n0.75 0.999965\nName: 12796, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.360431890775283, std values: 4.766546039873443, min values: 1.1627e-07, max values: 38.097, median values: 0.16853, and quantile values: 0.25 0.044965\n0.50 0.168530\n0.75 0.714450\nName: 12797, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4461493819660376, std values: 4.97680807933827, min values: 7.739e-07, max values: 40.853, median values: 0.22538, and quantile values: 0.25 0.066938\n0.50 0.225380\n0.75 0.772400\nName: 12798, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3651712416588682, std values: 4.690999804914677, min values: 8.1736e-07, max values: 37.929, median values: 0.22194, and quantile values: 0.25 0.061436\n0.50 0.221940\n0.75 0.822215\nName: 12799, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4400290576943398, std values: 4.860461288064301, min values: 2.2601e-06, max values: 39.223, median values: 0.20792, and quantile values: 0.25 0.061689\n0.50 0.207920\n0.75 0.853110\nName: 12800, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4366509981699367, std values: 4.725633174720354, min values: 3.6902e-07, max values: 37.227, median values: 0.20862, and quantile values: 0.25 0.059863\n0.50 0.208620\n0.75 0.856585\nName: 12801, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3523795883993712, std values: 4.84343305875625, min values: 1.1974e-06, max values: 39.005, median values: 0.16127, and quantile values: 0.25 0.052472\n0.50 0.161270\n0.75 0.761560\nName: 12802, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.495286224578931, std values: 4.729980452357043, min values: 9.9355e-07, max values: 38.405, median values: 0.21607, and quantile values: 0.25 0.05929\n0.50 0.21607\n0.75 0.99657\nName: 12803, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.749588655757233, std values: 5.190704591243299, min values: 5.7704e-06, max values: 41.043, median values: 0.31062, and quantile values: 0.25 0.086461\n0.50 0.310620\n0.75 1.085000\nName: 12804, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4418004003496854, std values: 4.83666572476038, min values: 1.7289e-06, max values: 39.131, median values: 0.21697, and quantile values: 0.25 0.071098\n0.50 0.216970\n0.75 0.828930\nName: 12805, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4856760326922644, std values: 5.238944801924316, min values: 1.3547e-07, max values: 46.582, median values: 0.196, and quantile values: 0.25 0.055778\n0.50 0.196000\n0.75 0.774690\nName: 12806, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5346417996773583, std values: 4.792079499257145, min values: 2.1674e-06, max values: 39.293, median values: 0.2568, and quantile values: 0.25 0.078441\n0.50 0.256800\n0.75 0.982435\nName: 12807, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7757775872779875, std values: 5.270151229575397, min values: 4.4727e-06, max values: 41.413, median values: 0.29827, and quantile values: 0.25 0.079889\n0.50 0.298270\n0.75 1.169150\nName: 12808, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5435346829578616, std values: 4.937347877280232, min values: 1.7469e-06, max values: 39.209, median values: 0.24496, and quantile values: 0.25 0.062933\n0.50 0.244960\n0.75 0.967060\nName: 12809, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3946134533006291, std values: 4.798242955727007, min values: 1.8158e-06, max values: 38.83, median values: 0.22859, and quantile values: 0.25 0.064094\n0.50 0.228590\n0.75 0.816145\nName: 12810, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4942004157603774, std values: 4.930013305905323, min values: 2.5358e-06, max values: 39.838, median values: 0.22865, and quantile values: 0.25 0.06689\n0.50 0.22865\n0.75 0.85779\nName: 12811, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4893477567224906, std values: 4.682317056645275, min values: 3.0876e-08, max values: 37.145, median values: 0.22326, and quantile values: 0.25 0.05764\n0.50 0.22326\n0.75 1.05925\nName: 12812, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6093345150433964, std values: 5.213025399019311, min values: 3.247e-06, max values: 43.317, median values: 0.25133, and quantile values: 0.25 0.069358\n0.50 0.251330\n0.75 0.999140\nName: 12813, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.339375550526415, std values: 4.757186613938366, min values: 1.7728e-07, max values: 38.685, median values: 0.19666, and quantile values: 0.25 0.049047\n0.50 0.196660\n0.75 0.812355\nName: 12814, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4576911439911948, std values: 4.964481683047541, min values: 1.5901e-06, max values: 39.862, median values: 0.21603, and quantile values: 0.25 0.065965\n0.50 0.216030\n0.75 0.897595\nName: 12815, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.468275927823409, std values: 4.915155325954422, min values: 3.4142e-08, max values: 41.308, median values: 0.18071, and quantile values: 0.25 0.041468\n0.50 0.180710\n0.75 0.831225\nName: 12816, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5229436523779873, std values: 5.090304407777353, min values: 2.5163e-06, max values: 42.586, median values: 0.24298, and quantile values: 0.25 0.071671\n0.50 0.242980\n0.75 0.929145\nName: 12817, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4844051540188679, std values: 5.0501817105136375, min values: 4.0236e-06, max values: 40.651, median values: 0.229, and quantile values: 0.25 0.072150\n0.50 0.229000\n0.75 0.839465\nName: 12818, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3673224053735347, std values: 4.786976426983556, min values: 1.7952e-08, max values: 39.096, median values: 0.16762, and quantile values: 0.25 0.040913\n0.50 0.167620\n0.75 0.743020\nName: 12819, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.636687638519497, std values: 4.997550885325857, min values: 4.6727e-06, max values: 40.643, median values: 0.27236, and quantile values: 0.25 0.083822\n0.50 0.272360\n0.75 1.057100\nName: 12820, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.370700508735849, std values: 4.796791126122714, min values: 1.8634e-06, max values: 39.573, median values: 0.18644, and quantile values: 0.25 0.058024\n0.50 0.186440\n0.75 0.798410\nName: 12821, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4971870317408806, std values: 4.792456861515762, min values: 1.2322e-06, max values: 38.444, median values: 0.19329, and quantile values: 0.25 0.059703\n0.50 0.193290\n0.75 0.867665\nName: 12822, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5438637162022013, std values: 4.783010401977188, min values: 1.2305e-07, max values: 37.545, median values: 0.25698, and quantile values: 0.25 0.063147\n0.50 0.256980\n0.75 0.985040\nName: 12823, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5715762443294339, std values: 5.1499880861556715, min values: 4.5968e-07, max values: 43.697, median values: 0.25107, and quantile values: 0.25 0.062758\n0.50 0.251070\n0.75 0.960920\nName: 12824, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6435941285452833, std values: 5.214759138979072, min values: 3.7074e-06, max values: 41.866, median values: 0.24453, and quantile values: 0.25 0.074445\n0.50 0.244530\n0.75 1.001915\nName: 12825, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3195567986491383, std values: 4.544511499295839, min values: 9.3213e-08, max values: 36.914, median values: 0.20346, and quantile values: 0.25 0.058528\n0.50 0.203460\n0.75 0.781835\nName: 12826, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5424894331419496, std values: 4.94924055608403, min values: 3.3847e-07, max values: 40.527, median values: 0.22094, and quantile values: 0.25 0.063411\n0.50 0.220940\n0.75 0.948135\nName: 12827, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6580853761767296, std values: 5.070262870199833, min values: 2.4698e-06, max values: 40.301, median values: 0.28568, and quantile values: 0.25 0.079114\n0.50 0.285680\n0.75 1.068350\nName: 12828, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4961475930742139, std values: 4.824769857564248, min values: 1.7805e-06, max values: 38.777, median values: 0.21516, and quantile values: 0.25 0.061701\n0.50 0.215160\n0.75 0.913615\nName: 12829, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.413060662400629, std values: 4.906728376586852, min values: 2.0129e-06, max values: 39.501, median values: 0.19739, and quantile values: 0.25 0.058888\n0.50 0.197390\n0.75 0.805375\nName: 12830, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.578813433454717, std values: 5.23305492113264, min values: 4.5637e-06, max values: 42.998, median values: 0.23439, and quantile values: 0.25 0.065795\n0.50 0.234390\n0.75 0.915170\nName: 12831, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5682934504874213, std values: 4.935982462257858, min values: 2.7698e-06, max values: 39.598, median values: 0.23649, and quantile values: 0.25 0.067698\n0.50 0.236490\n0.75 0.988360\nName: 12832, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3326052329631446, std values: 4.791292157168129, min values: 2.7154e-07, max values: 39.276, median values: 0.16773, and quantile values: 0.25 0.043462\n0.50 0.167730\n0.75 0.743320\nName: 12833, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2370423156269184, std values: 4.641667223494338, min values: 3.5428e-07, max values: 37.782, median values: 0.14406, and quantile values: 0.25 0.039777\n0.50 0.144060\n0.75 0.651045\nName: 12834, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.54813031783522, std values: 5.037128177945845, min values: 1.6692e-06, max values: 40.778, median values: 0.24693, and quantile values: 0.25 0.067605\n0.50 0.246930\n0.75 0.953715\nName: 12835, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4730949720784277, std values: 4.872424055255477, min values: 7.0657e-07, max values: 39.799, median values: 0.218, and quantile values: 0.25 0.053348\n0.50 0.218000\n0.75 0.937705\nName: 12836, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3687107266614467, std values: 4.878234855460436, min values: 6.1787e-07, max values: 39.831, median values: 0.16603, and quantile values: 0.25 0.053138\n0.50 0.166030\n0.75 0.856915\nName: 12837, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5737646154767295, std values: 5.297777454593977, min values: 2.0754e-06, max values: 45.136, median values: 0.25353, and quantile values: 0.25 0.065242\n0.50 0.253530\n0.75 1.010565\nName: 12838, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4820248166039809, std values: 4.965288210833751, min values: 2.1253e-08, max values: 42.195, median values: 0.20566, and quantile values: 0.25 0.056004\n0.50 0.205660\n0.75 0.861025\nName: 12839, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.660368370856604, std values: 5.165681226439533, min values: 8.998e-07, max values: 42.593, median values: 0.26189, and quantile values: 0.25 0.071295\n0.50 0.261890\n0.75 1.103450\nName: 12840, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.666407616165849, std values: 5.259164048210852, min values: 2.5387e-07, max values: 45.907, median values: 0.23019, and quantile values: 0.25 0.067007\n0.50 0.230190\n0.75 1.078050\nName: 12841, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4964262969968554, std values: 5.015054864685564, min values: 2.2236e-06, max values: 41.055, median values: 0.21456, and quantile values: 0.25 0.068462\n0.50 0.214560\n0.75 0.911775\nName: 12842, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4289982811522643, std values: 4.705731162583263, min values: 3.3601e-07, max values: 37.375, median values: 0.23417, and quantile values: 0.25 0.061035\n0.50 0.234170\n0.75 0.872590\nName: 12843, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.988309256174214, std values: 5.339138604949909, min values: 1.9721e-06, max values: 41.777, median values: 0.41392, and quantile values: 0.25 0.101497\n0.50 0.413920\n0.75 1.481750\nName: 12844, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4525055429320755, std values: 4.8362251088927355, min values: 2.13e-06, max values: 38.708, median values: 0.22856, and quantile values: 0.25 0.068303\n0.50 0.228560\n0.75 0.875290\nName: 12845, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.59128656162956, std values: 5.148668563660933, min values: 1.4348e-06, max values: 43.457, median values: 0.25007, and quantile values: 0.25 0.063732\n0.50 0.250070\n0.75 1.007550\nName: 12846, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8887918369647803, std values: 5.302608739509726, min values: 3.8278e-06, max values: 41.803, median values: 0.34957, and quantile values: 0.25 0.102715\n0.50 0.349570\n0.75 1.382400\nName: 12847, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.316225982342956, std values: 4.633926169736101, min values: 1.1732e-07, max values: 37.055, median values: 0.16894, and quantile values: 0.25 0.041391\n0.50 0.168940\n0.75 0.771000\nName: 12848, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4608590322099373, std values: 4.715618132657492, min values: 9.0848e-07, max values: 37.862, median values: 0.21037, and quantile values: 0.25 0.062161\n0.50 0.210370\n0.75 0.860430\nName: 12849, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.575168983854717, std values: 5.3013859447082465, min values: 2.0074e-06, max values: 45.522, median values: 0.23941, and quantile values: 0.25 0.062789\n0.50 0.239410\n0.75 0.960625\nName: 12850, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2974124654113837, std values: 4.886794576248053, min values: 1.0901e-07, max values: 41.191, median values: 0.16914, and quantile values: 0.25 0.04745\n0.50 0.16914\n0.75 0.68318\nName: 12851, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.284456513129371, std values: 4.813299927932792, min values: 2.8027e-07, max values: 39.749, median values: 0.15309, and quantile values: 0.25 0.040889\n0.50 0.153090\n0.75 0.655325\nName: 12852, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.604839700683648, std values: 5.076755069429616, min values: 1.3493e-06, max values: 41.978, median values: 0.28775, and quantile values: 0.25 0.071641\n0.50 0.287750\n0.75 1.033400\nName: 12853, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5575044553754718, std values: 4.854011516557266, min values: 1.1511e-06, max values: 38.667, median values: 0.27568, and quantile values: 0.25 0.072815\n0.50 0.275680\n0.75 1.000330\nName: 12854, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4476360640924528, std values: 4.99801719455833, min values: 1.3907e-06, max values: 41.361, median values: 0.20304, and quantile values: 0.25 0.064825\n0.50 0.203040\n0.75 0.852800\nName: 12855, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6899620042415093, std values: 5.265913972596621, min values: 1.6372e-06, max values: 44.75, median values: 0.24583, and quantile values: 0.25 0.072813\n0.50 0.245830\n0.75 1.065650\nName: 12856, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5660902650116981, std values: 4.836938578512557, min values: 5.5246e-07, max values: 37.816, median values: 0.2411, and quantile values: 0.25 0.064838\n0.50 0.241100\n0.75 1.099900\nName: 12857, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.50062933155283, std values: 5.112041002254444, min values: 3.5406e-06, max values: 41.791, median values: 0.23612, and quantile values: 0.25 0.072089\n0.50 0.236120\n0.75 0.836795\nName: 12858, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4667755591666667, std values: 4.930116963040538, min values: 1.705e-06, max values: 39.304, median values: 0.20464, and quantile values: 0.25 0.060917\n0.50 0.204640\n0.75 0.839740\nName: 12859, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3191832035629558, std values: 4.823039813788944, min values: 9.1921e-07, max values: 38.795, median values: 0.17009, and quantile values: 0.25 0.052236\n0.50 0.170090\n0.75 0.737915\nName: 12860, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3432921042210695, std values: 4.944103450015079, min values: 7.2635e-07, max values: 41.123, median values: 0.18705, and quantile values: 0.25 0.053571\n0.50 0.187050\n0.75 0.739965\nName: 12861, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5731802346150943, std values: 4.927459610133544, min values: 1.1089e-06, max values: 39.164, median values: 0.25362, and quantile values: 0.25 0.069576\n0.50 0.253620\n0.75 1.024550\nName: 12862, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4134930016374214, std values: 4.846878672191672, min values: 4.1815e-07, max values: 38.763, median values: 0.16981, and quantile values: 0.25 0.049474\n0.50 0.169810\n0.75 0.797275\nName: 12863, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5371495319767294, std values: 5.246936628530014, min values: 2.13e-06, max values: 44.151, median values: 0.24632, and quantile values: 0.25 0.064211\n0.50 0.246320\n0.75 0.869620\nName: 12864, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3037105023367799, std values: 4.825220601818226, min values: 8.8848e-08, max values: 40.231, median values: 0.16139, and quantile values: 0.25 0.045703\n0.50 0.161390\n0.75 0.669045\nName: 12865, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6718986883641511, std values: 4.971548012783905, min values: 1.6206e-06, max values: 38.685, median values: 0.27344, and quantile values: 0.25 0.073058\n0.50 0.273440\n0.75 1.204900\nName: 12866, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4684494731698112, std values: 4.988634176964291, min values: 8.758e-07, max values: 41.684, median values: 0.23111, and quantile values: 0.25 0.064039\n0.50 0.231110\n0.75 0.850230\nName: 12867, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4459316429127673, std values: 4.861427405057751, min values: 5.0393e-07, max values: 39.786, median values: 0.23393, and quantile values: 0.25 0.062646\n0.50 0.233930\n0.75 0.895400\nName: 12868, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6913033070786163, std values: 5.054428815240065, min values: 2.4402e-06, max values: 39.548, median values: 0.27341, and quantile values: 0.25 0.078137\n0.50 0.273410\n0.75 1.139000\nName: 12869, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4675278064496853, std values: 5.17352709939357, min values: 2.2582e-06, max values: 44.058, median values: 0.21298, and quantile values: 0.25 0.067246\n0.50 0.212980\n0.75 0.879020\nName: 12870, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.41791056735283, std values: 4.6806558230396, min values: 1.6135e-06, max values: 39.243, median values: 0.19584, and quantile values: 0.25 0.055736\n0.50 0.195840\n0.75 0.855240\nName: 12871, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3551106964184594, std values: 4.662103250695414, min values: 2.6955e-08, max values: 37.331, median values: 0.19624, and quantile values: 0.25 0.04036\n0.50 0.19624\n0.75 0.75112\nName: 12872, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4634544835719498, std values: 4.810807010615234, min values: 4.0484e-07, max values: 38.395, median values: 0.22652, and quantile values: 0.25 0.058937\n0.50 0.226520\n0.75 0.923070\nName: 12873, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3191957172209434, std values: 4.784761766367015, min values: 8.3053e-07, max values: 37.431, median values: 0.14017, and quantile values: 0.25 0.040450\n0.50 0.140170\n0.75 0.583575\nName: 12874, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.424425607037736, std values: 4.85886567933168, min values: 1.1626e-06, max values: 38.956, median values: 0.19095, and quantile values: 0.25 0.06036\n0.50 0.19095\n0.75 0.85219\nName: 12875, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.426659140988679, std values: 5.074757805787863, min values: 1.7097e-06, max values: 42.187, median values: 0.21195, and quantile values: 0.25 0.056427\n0.50 0.211950\n0.75 0.845020\nName: 12876, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4541889417674339, std values: 5.114653818927421, min values: 1.9692e-08, max values: 45.547, median values: 0.18726, and quantile values: 0.25 0.039145\n0.50 0.187260\n0.75 0.772255\nName: 12877, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4353497117773586, std values: 4.560682705710301, min values: 2.3616e-06, max values: 39.632, median values: 0.24211, and quantile values: 0.25 0.065836\n0.50 0.242110\n0.75 0.866790\nName: 12878, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2908881682899371, std values: 4.8803128100694, min values: 1.1736e-06, max values: 40.741, median values: 0.16995, and quantile values: 0.25 0.050696\n0.50 0.169950\n0.75 0.688420\nName: 12879, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2945361441698238, std values: 4.85087184821809, min values: 2.0202e-08, max values: 40.276, median values: 0.16352, and quantile values: 0.25 0.042911\n0.50 0.163520\n0.75 0.688905\nName: 12880, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.670992066781761, std values: 5.313225872126554, min values: 5.8368e-06, max values: 42.247, median values: 0.2814, and quantile values: 0.25 0.063613\n0.50 0.281400\n0.75 0.944410\nName: 12881, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.806224568379874, std values: 5.4061844234635625, min values: 3.6752e-06, max values: 44.967, median values: 0.29116, and quantile values: 0.25 0.087819\n0.50 0.291160\n0.75 1.195900\nName: 12882, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5093417723886793, std values: 4.828765492315496, min values: 3.2225e-06, max values: 39.936, median values: 0.24025, and quantile values: 0.25 0.073484\n0.50 0.240250\n0.75 0.893540\nName: 12883, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7683103547830186, std values: 4.904880733038068, min values: 1.7799e-06, max values: 38.243, median values: 0.30138, and quantile values: 0.25 0.091049\n0.50 0.301380\n0.75 1.217350\nName: 12884, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3941096124540253, std values: 4.667388080100065, min values: 9.8299e-07, max values: 37.538, median values: 0.19216, and quantile values: 0.25 0.059572\n0.50 0.192160\n0.75 0.799935\nName: 12885, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7178860868742138, std values: 5.189848650025402, min values: 2.9631e-06, max values: 41.26, median values: 0.27348, and quantile values: 0.25 0.074652\n0.50 0.273480\n0.75 1.143100\nName: 12886, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9419833579320755, std values: 5.510510898877044, min values: 5.8626e-06, max values: 44.3, median values: 0.32626, and quantile values: 0.25 0.103255\n0.50 0.326260\n0.75 1.284550\nName: 12887, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.468241016688415, std values: 4.839998893522859, min values: 1.4258e-08, max values: 39.57, median values: 0.22215, and quantile values: 0.25 0.062894\n0.50 0.222150\n0.75 0.839125\nName: 12888, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6599120153415095, std values: 5.045873399913021, min values: 3.3501e-06, max values: 39.961, median values: 0.29002, and quantile values: 0.25 0.083521\n0.50 0.290020\n0.75 1.079400\nName: 12889, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.526139534091195, std values: 4.933727825741269, min values: 1.524e-07, max values: 40.311, median values: 0.22725, and quantile values: 0.25 0.062641\n0.50 0.227250\n0.75 0.957840\nName: 12890, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.577868326981761, std values: 5.205461672442306, min values: 4.2842e-06, max values: 41.488, median values: 0.24655, and quantile values: 0.25 0.074620\n0.50 0.246550\n0.75 0.867865\nName: 12891, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.694767620791195, std values: 5.363915413273649, min values: 1.2703e-06, max values: 47.202, median values: 0.29221, and quantile values: 0.25 0.083243\n0.50 0.292210\n0.75 1.098950\nName: 12892, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.397584441495786, std values: 4.552989190298856, min values: 5.5513e-07, max values: 37.798, median values: 0.23271, and quantile values: 0.25 0.059297\n0.50 0.232710\n0.75 0.882320\nName: 12893, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4455785684313207, std values: 4.94029023700148, min values: 5.0338e-07, max values: 41.595, median values: 0.23132, and quantile values: 0.25 0.057563\n0.50 0.231320\n0.75 0.819285\nName: 12894, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2796379120608807, std values: 4.63612746184192, min values: 3.8448e-07, max values: 37.712, median values: 0.18207, and quantile values: 0.25 0.047896\n0.50 0.182070\n0.75 0.738660\nName: 12895, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5530192525358488, std values: 4.991379793961668, min values: 6.1796e-06, max values: 41.393, median values: 0.25468, and quantile values: 0.25 0.072331\n0.50 0.254680\n0.75 0.914640\nName: 12896, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4909451131874214, std values: 4.883209660723283, min values: 1.784e-06, max values: 39.525, median values: 0.2498, and quantile values: 0.25 0.06643\n0.50 0.24980\n0.75 0.91328\nName: 12897, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6463577648830188, std values: 5.0245814317435675, min values: 4.519e-06, max values: 40.085, median values: 0.27587, and quantile values: 0.25 0.078817\n0.50 0.275870\n0.75 1.076000\nName: 12898, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2227026611856855, std values: 4.839168565630165, min values: 2.1664e-08, max values: 41.25, median values: 0.12674, and quantile values: 0.25 0.033787\n0.50 0.126740\n0.75 0.564050\nName: 12899, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3349445555415094, std values: 4.970540362864408, min values: 1.7963e-06, max values: 41.174, median values: 0.17171, and quantile values: 0.25 0.055574\n0.50 0.171710\n0.75 0.687940\nName: 12900, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.591065729264528, std values: 4.833074303090334, min values: 3.4806e-07, max values: 37.833, median values: 0.26247, and quantile values: 0.25 0.066166\n0.50 0.262470\n0.75 1.039050\nName: 12901, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3079557167006288, std values: 4.693805493566474, min values: 1.2665e-06, max values: 38.5, median values: 0.17866, and quantile values: 0.25 0.054349\n0.50 0.178660\n0.75 0.661405\nName: 12902, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5182393799715095, std values: 4.771092643754644, min values: 8.2487e-07, max values: 38.068, median values: 0.24666, and quantile values: 0.25 0.065918\n0.50 0.246660\n0.75 0.992065\nName: 12903, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3693820877817608, std values: 4.762936316544628, min values: 1.0263e-06, max values: 38.778, median values: 0.20819, and quantile values: 0.25 0.057712\n0.50 0.208190\n0.75 0.810145\nName: 12904, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3482685770612577, std values: 4.7146445099344, min values: 3.7224e-07, max values: 37.687, median values: 0.18354, and quantile values: 0.25 0.053213\n0.50 0.183540\n0.75 0.713535\nName: 12905, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5412717559031448, std values: 5.0218008446257185, min values: 1.1902e-06, max values: 40.49, median values: 0.22242, and quantile values: 0.25 0.067516\n0.50 0.222420\n0.75 0.932395\nName: 12906, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7816731190484278, std values: 5.137313946287051, min values: 4.8572e-06, max values: 39.627, median values: 0.3162, and quantile values: 0.25 0.107525\n0.50 0.316200\n0.75 1.144250\nName: 12907, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7987888845062892, std values: 5.202602463092128, min values: 3.3973e-06, max values: 40.773, median values: 0.31345, and quantile values: 0.25 0.093602\n0.50 0.313450\n0.75 1.288850\nName: 12908, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5550612821572327, std values: 4.987138156441983, min values: 4.1887e-06, max values: 40.093, median values: 0.24956, and quantile values: 0.25 0.074504\n0.50 0.249560\n0.75 0.935105\nName: 12909, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4899461830886163, std values: 4.879145651431458, min values: 3.3199e-07, max values: 39.659, median values: 0.19299, and quantile values: 0.25 0.058284\n0.50 0.192990\n0.75 0.899940\nName: 12910, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.501438825926415, std values: 4.763785647985815, min values: 1.501e-06, max values: 38.753, median values: 0.24856, and quantile values: 0.25 0.066657\n0.50 0.248560\n0.75 0.946685\nName: 12911, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4085440879660378, std values: 4.649283806094659, min values: 2.4202e-06, max values: 40.427, median values: 0.21297, and quantile values: 0.25 0.053027\n0.50 0.212970\n0.75 0.858645\nName: 12912, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5935594916090565, std values: 4.870390585079975, min values: 8.3634e-07, max values: 37.961, median values: 0.23413, and quantile values: 0.25 0.067803\n0.50 0.234130\n0.75 1.020950\nName: 12913, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4168086547628553, std values: 4.841406213369427, min values: 1.8494e-08, max values: 40.477, median values: 0.14309, and quantile values: 0.25 0.039892\n0.50 0.143090\n0.75 0.741735\nName: 12914, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5031570898930817, std values: 4.819574199220512, min values: 3.1843e-06, max values: 39.482, median values: 0.23958, and quantile values: 0.25 0.077662\n0.50 0.239580\n0.75 0.934850\nName: 12915, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5845688767698114, std values: 5.080798420955512, min values: 3.1092e-06, max values: 41.3, median values: 0.27295, and quantile values: 0.25 0.081031\n0.50 0.272950\n0.75 0.982755\nName: 12916, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2016146784389938, std values: 4.635822119610303, min values: 6.283e-07, max values: 37.795, median values: 0.15583, and quantile values: 0.25 0.046972\n0.50 0.155830\n0.75 0.602665\nName: 12917, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2884708595150944, std values: 4.840474992496755, min values: 2.5636e-06, max values: 39.496, median values: 0.16946, and quantile values: 0.25 0.053512\n0.50 0.169460\n0.75 0.612835\nName: 12918, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5285853486893084, std values: 5.052447744336344, min values: 2.13e-06, max values: 40.478, median values: 0.22637, and quantile values: 0.25 0.06675\n0.50 0.22637\n0.75 0.88293\nName: 12919, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4001342877, std values: 4.799673263599828, min values: 5.22e-08, max values: 38.987, median values: 0.16916, and quantile values: 0.25 0.048418\n0.50 0.169160\n0.75 0.760790\nName: 12920, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4298021039515723, std values: 4.806057096492459, min values: 2.6102e-06, max values: 39.525, median values: 0.22411, and quantile values: 0.25 0.056037\n0.50 0.224110\n0.75 0.870640\nName: 12921, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6425354391716982, std values: 5.257888466655429, min values: 1.3855e-06, max values: 44.848, median values: 0.27335, and quantile values: 0.25 0.072266\n0.50 0.273350\n0.75 0.940425\nName: 12922, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5184327359735847, std values: 4.970493990921408, min values: 1.1235e-06, max values: 41.022, median values: 0.20991, and quantile values: 0.25 0.064983\n0.50 0.209910\n0.75 0.891135\nName: 12923, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5391445554949688, std values: 5.256470048798773, min values: 6.691e-07, max values: 45.531, median values: 0.19028, and quantile values: 0.25 0.057476\n0.50 0.190280\n0.75 0.903210\nName: 12924, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.373026627699824, std values: 4.530889886875364, min values: 2.2682e-08, max values: 36.552, median values: 0.21337, and quantile values: 0.25 0.047540\n0.50 0.213370\n0.75 0.784365\nName: 12925, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5993327667213837, std values: 5.175971697099004, min values: 2.01e-06, max values: 42.793, median values: 0.21391, and quantile values: 0.25 0.074612\n0.50 0.213910\n0.75 1.006650\nName: 12926, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5195420121246543, std values: 4.803462436760907, min values: 6.4362e-07, max values: 37.758, median values: 0.23748, and quantile values: 0.25 0.070377\n0.50 0.237480\n0.75 0.972230\nName: 12927, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1613830691686795, std values: 4.627681040453514, min values: 2.1275e-07, max values: 37.035, median values: 0.10279, and quantile values: 0.25 0.027644\n0.50 0.102790\n0.75 0.495420\nName: 12928, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2648588731584278, std values: 4.524852515414333, min values: 4.1869e-07, max values: 37.441, median values: 0.15792, and quantile values: 0.25 0.044023\n0.50 0.157920\n0.75 0.680910\nName: 12929, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6567351342226413, std values: 5.279449941336297, min values: 2.7941e-06, max values: 44.003, median values: 0.28296, and quantile values: 0.25 0.080089\n0.50 0.282960\n0.75 0.981100\nName: 12930, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3231940660754717, std values: 4.709045021965521, min values: 1.2799e-06, max values: 38.561, median values: 0.1828, and quantile values: 0.25 0.056451\n0.50 0.182800\n0.75 0.739415\nName: 12931, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3702107731126414, std values: 4.789368375027431, min values: 5.3271e-07, max values: 38.234, median values: 0.1963, and quantile values: 0.25 0.052676\n0.50 0.196300\n0.75 0.764865\nName: 12932, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5774633440245283, std values: 4.9326348105952125, min values: 2.3158e-06, max values: 39.409, median values: 0.2475, and quantile values: 0.25 0.070671\n0.50 0.247500\n0.75 1.069100\nName: 12933, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5062508535345913, std values: 5.109549802378008, min values: 4.8032e-06, max values: 41.079, median values: 0.24361, and quantile values: 0.25 0.069856\n0.50 0.243610\n0.75 0.774330\nName: 12934, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6121315790716984, std values: 5.017313467621696, min values: 1.7432e-06, max values: 39.673, median values: 0.23956, and quantile values: 0.25 0.069164\n0.50 0.239560\n0.75 1.085800\nName: 12935, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6065759203654086, std values: 4.903306437510919, min values: 2.6303e-06, max values: 39.247, median values: 0.25513, and quantile values: 0.25 0.077196\n0.50 0.255130\n0.75 1.078650\nName: 12936, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4255325185337109, std values: 4.59899517692998, min values: 7.1616e-07, max values: 37.652, median values: 0.2259, and quantile values: 0.25 0.054314\n0.50 0.225900\n0.75 0.870420\nName: 12937, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5680095834918237, std values: 4.844011565127496, min values: 1.8378e-06, max values: 39.267, median values: 0.25391, and quantile values: 0.25 0.074578\n0.50 0.253910\n0.75 1.017590\nName: 12938, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4406140979698114, std values: 4.864168765702188, min values: 3.6534e-06, max values: 40.046, median values: 0.21461, and quantile values: 0.25 0.073916\n0.50 0.214610\n0.75 0.830190\nName: 12939, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5047145678962264, std values: 4.801885970425345, min values: 2.9544e-06, max values: 39.497, median values: 0.25226, and quantile values: 0.25 0.067732\n0.50 0.252260\n0.75 0.887690\nName: 12940, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5917876199384904, std values: 5.093831307179189, min values: 2.5772e-07, max values: 42.907, median values: 0.21717, and quantile values: 0.25 0.054026\n0.50 0.217170\n0.75 0.978680\nName: 12941, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7607058978345913, std values: 5.265728973050228, min values: 4.3256e-06, max values: 42.26, median values: 0.29475, and quantile values: 0.25 0.084367\n0.50 0.294750\n0.75 1.200650\nName: 12942, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.366739825975472, std values: 4.785364109610782, min values: 1.9493e-06, max values: 39.082, median values: 0.19027, and quantile values: 0.25 0.062684\n0.50 0.190270\n0.75 0.802025\nName: 12943, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5943131986295598, std values: 5.106977894790158, min values: 2.6096e-06, max values: 40.997, median values: 0.24571, and quantile values: 0.25 0.076727\n0.50 0.245710\n0.75 1.032400\nName: 12944, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.45966862578805, std values: 4.847800611266422, min values: 3.9349e-06, max values: 41.806, median values: 0.21073, and quantile values: 0.25 0.058835\n0.50 0.210730\n0.75 0.880270\nName: 12945, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4686631633877358, std values: 4.868504536912089, min values: 1.0235e-07, max values: 39.791, median values: 0.19001, and quantile values: 0.25 0.053766\n0.50 0.190010\n0.75 0.829480\nName: 12946, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.334000687100629, std values: 4.836217909489341, min values: 1.3803e-06, max values: 38.75, median values: 0.16347, and quantile values: 0.25 0.056813\n0.50 0.163470\n0.75 0.719400\nName: 12947, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5070862461786165, std values: 4.945728357093167, min values: 3.194e-06, max values: 39.852, median values: 0.23555, and quantile values: 0.25 0.064767\n0.50 0.235550\n0.75 0.864205\nName: 12948, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7030003313786164, std values: 5.382214324116967, min values: 5.723e-06, max values: 44.098, median values: 0.28785, and quantile values: 0.25 0.071844\n0.50 0.287850\n0.75 0.993025\nName: 12949, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2820868393028935, std values: 4.78826391498824, min values: 4.0226e-07, max values: 39.401, median values: 0.14966, and quantile values: 0.25 0.049765\n0.50 0.149660\n0.75 0.724590\nName: 12950, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4159296699123898, std values: 4.957557112942808, min values: 7.3057e-07, max values: 42.263, median values: 0.21295, and quantile values: 0.25 0.048384\n0.50 0.212950\n0.75 0.807495\nName: 12951, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5464535927867924, std values: 4.903953077084041, min values: 1.5023e-06, max values: 39.7, median values: 0.21035, and quantile values: 0.25 0.069585\n0.50 0.210350\n0.75 0.971640\nName: 12952, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5111805093593709, std values: 4.846093551782975, min values: 9.9224e-07, max values: 38.608, median values: 0.24254, and quantile values: 0.25 0.063752\n0.50 0.242540\n0.75 0.937440\nName: 12953, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.572956937718868, std values: 4.977886326977429, min values: 1.225e-06, max values: 39.865, median values: 0.24259, and quantile values: 0.25 0.074975\n0.50 0.242590\n0.75 1.015535\nName: 12954, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6588129458974843, std values: 5.155350033457047, min values: 1.317e-06, max values: 41.715, median values: 0.27049, and quantile values: 0.25 0.073668\n0.50 0.270490\n0.75 1.094850\nName: 12955, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4229291750679876, std values: 4.864692382364415, min values: 7.7081e-07, max values: 39.754, median values: 0.20944, and quantile values: 0.25 0.060012\n0.50 0.209440\n0.75 0.845725\nName: 12956, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4791055008497485, std values: 4.545993903021348, min values: 5.9881e-07, max values: 37.897, median values: 0.21977, and quantile values: 0.25 0.063315\n0.50 0.219770\n0.75 0.994055\nName: 12957, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.622151986769811, std values: 5.240190144401596, min values: 4.4119e-06, max values: 42.724, median values: 0.26042, and quantile values: 0.25 0.070949\n0.50 0.260420\n0.75 0.963735\nName: 12958, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.494295544700975, std values: 5.1245036640516854, min values: 2.5635e-08, max values: 45.06, median values: 0.19112, and quantile values: 0.25 0.052909\n0.50 0.191120\n0.75 0.866905\nName: 12959, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4943958680767297, std values: 4.895537188183741, min values: 1.6903e-06, max values: 38.975, median values: 0.23203, and quantile values: 0.25 0.070364\n0.50 0.232030\n0.75 0.969135\nName: 12960, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6880565582232707, std values: 5.183042771152068, min values: 1.3584e-06, max values: 43.337, median values: 0.29208, and quantile values: 0.25 0.074712\n0.50 0.292080\n0.75 1.141050\nName: 12961, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3426758651370443, std values: 4.904198221170563, min values: 7.7159e-07, max values: 40.853, median values: 0.18695, and quantile values: 0.25 0.055155\n0.50 0.186950\n0.75 0.776705\nName: 12962, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.504488517501258, std values: 5.004151235919221, min values: 2.0107e-06, max values: 39.962, median values: 0.23683, and quantile values: 0.25 0.066917\n0.50 0.236830\n0.75 0.900685\nName: 12963, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7809360459232702, std values: 5.091862589776282, min values: 3.6414e-06, max values: 39.299, median values: 0.30624, and quantile values: 0.25 0.08834\n0.50 0.30624\n0.75 1.24425\nName: 12964, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.462156812011132, std values: 4.8676028628862325, min values: 4.9167e-07, max values: 39.287, median values: 0.21511, and quantile values: 0.25 0.057475\n0.50 0.215110\n0.75 0.946770\nName: 12965, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7358143084352198, std values: 5.037120526163084, min values: 4.9382e-06, max values: 40.516, median values: 0.27762, and quantile values: 0.25 0.091201\n0.50 0.277620\n0.75 1.069150\nName: 12966, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5063020930132074, std values: 4.788070226476025, min values: 3.5515e-06, max values: 39.704, median values: 0.26467, and quantile values: 0.25 0.075976\n0.50 0.264670\n0.75 0.915760\nName: 12967, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6671907458144655, std values: 4.901624655505749, min values: 3.5528e-06, max values: 39.416, median values: 0.28933, and quantile values: 0.25 0.089943\n0.50 0.289330\n0.75 1.133550\nName: 12968, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3389774704333335, std values: 4.896121432719684, min values: 1.9922e-06, max values: 39.36, median values: 0.16893, and quantile values: 0.25 0.05730\n0.50 0.16893\n0.75 0.70451\nName: 12969, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2826431493899368, std values: 4.54773144565671, min values: 2.0025e-06, max values: 39.122, median values: 0.20457, and quantile values: 0.25 0.052981\n0.50 0.204570\n0.75 0.737335\nName: 12970, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5298844548220127, std values: 5.430472491724473, min values: 3.3995e-06, max values: 47.458, median values: 0.21791, and quantile values: 0.25 0.062840\n0.50 0.217910\n0.75 0.814535\nName: 12971, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.544178046366478, std values: 5.124892404936552, min values: 9.0017e-07, max values: 43.11, median values: 0.21705, and quantile values: 0.25 0.058508\n0.50 0.217050\n0.75 0.982565\nName: 12972, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3338191518888676, std values: 4.673156386965857, min values: 4.3636e-07, max values: 37.266, median values: 0.15292, and quantile values: 0.25 0.041723\n0.50 0.152920\n0.75 0.705975\nName: 12973, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4578221672021383, std values: 4.721652441142724, min values: 1.814e-08, max values: 37.145, median values: 0.20563, and quantile values: 0.25 0.056098\n0.50 0.205630\n0.75 1.017250\nName: 12974, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4750355254052139, std values: 4.993649355071509, min values: 7.2729e-08, max values: 41.783, median values: 0.22992, and quantile values: 0.25 0.061146\n0.50 0.229920\n0.75 0.884310\nName: 12975, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3904830995345914, std values: 4.818531001218531, min values: 1.14e-06, max values: 39.608, median values: 0.179, and quantile values: 0.25 0.057972\n0.50 0.179000\n0.75 0.808780\nName: 12976, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.459896858900629, std values: 4.807546229268676, min values: 1.4326e-06, max values: 39.293, median values: 0.207, and quantile values: 0.25 0.063887\n0.50 0.207000\n0.75 0.903725\nName: 12977, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5207795476698114, std values: 4.881553013399309, min values: 2.8719e-06, max values: 39.726, median values: 0.26805, and quantile values: 0.25 0.067171\n0.50 0.268050\n0.75 0.968675\nName: 12978, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.140145961841887, std values: 4.538000931281523, min values: 7.7936e-07, max values: 37.683, median values: 0.12706, and quantile values: 0.25 0.045620\n0.50 0.127060\n0.75 0.551195\nName: 12979, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.389802245509434, std values: 4.6374331383966325, min values: 2.2542e-06, max values: 39.195, median values: 0.20735, and quantile values: 0.25 0.06024\n0.50 0.20735\n0.75 0.81995\nName: 12980, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4620311627748428, std values: 4.949564172889669, min values: 1.2929e-06, max values: 40.429, median values: 0.25425, and quantile values: 0.25 0.070006\n0.50 0.254250\n0.75 0.838315\nName: 12981, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5690767156339624, std values: 5.0948658044669175, min values: 7.7498e-06, max values: 42.487, median values: 0.25498, and quantile values: 0.25 0.071042\n0.50 0.254980\n0.75 0.859120\nName: 12982, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2424818997559874, std values: 4.7604659817964405, min values: 2.5842e-08, max values: 39.97, median values: 0.15569, and quantile values: 0.25 0.036619\n0.50 0.155690\n0.75 0.600040\nName: 12983, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4302646718031446, std values: 4.6483930564617815, min values: 1.148e-06, max values: 38.121, median values: 0.22432, and quantile values: 0.25 0.05692\n0.50 0.22432\n0.75 0.89794\nName: 12984, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.324718826780629, std values: 4.699764690418791, min values: 3.4432e-07, max values: 37.589, median values: 0.18044, and quantile values: 0.25 0.048129\n0.50 0.180440\n0.75 0.732675\nName: 12985, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5663100813490565, std values: 5.04817330271233, min values: 4.5239e-06, max values: 41.055, median values: 0.23181, and quantile values: 0.25 0.077964\n0.50 0.231810\n0.75 0.925405\nName: 12986, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.487255646207547, std values: 5.047356555608217, min values: 1.8714e-06, max values: 41.101, median values: 0.26241, and quantile values: 0.25 0.067104\n0.50 0.262410\n0.75 0.920845\nName: 12987, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5306459918352202, std values: 4.779819675279544, min values: 2.453e-08, max values: 38.1, median values: 0.23053, and quantile values: 0.25 0.060192\n0.50 0.230530\n0.75 0.917420\nName: 12988, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4582207675163523, std values: 4.790238230339795, min values: 1.1555e-06, max values: 38.515, median values: 0.21575, and quantile values: 0.25 0.068885\n0.50 0.215750\n0.75 0.821725\nName: 12989, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5290121387855344, std values: 5.085348107637337, min values: 1.8195e-06, max values: 41.794, median values: 0.2462, and quantile values: 0.25 0.070351\n0.50 0.246200\n0.75 0.937345\nName: 12990, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.458544260644025, std values: 4.904922146247305, min values: 1.8728e-06, max values: 39.305, median values: 0.20803, and quantile values: 0.25 0.064377\n0.50 0.208030\n0.75 0.865330\nName: 12991, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2503857080752454, std values: 4.734205764496666, min values: 1.4464e-08, max values: 38.085, median values: 0.13738, and quantile values: 0.25 0.038271\n0.50 0.137380\n0.75 0.657365\nName: 12992, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5888270588597484, std values: 5.25102138280061, min values: 1.9007e-06, max values: 44.448, median values: 0.2497, and quantile values: 0.25 0.077943\n0.50 0.249700\n0.75 0.967110\nName: 12993, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5762698620442137, std values: 5.049102150150893, min values: 3.5313e-07, max values: 42.068, median values: 0.22678, and quantile values: 0.25 0.056492\n0.50 0.226780\n0.75 0.991250\nName: 12994, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5629038711937104, std values: 5.182427293227274, min values: 2.3887e-06, max values: 43.527, median values: 0.24082, and quantile values: 0.25 0.068723\n0.50 0.240820\n0.75 0.953845\nName: 12995, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7704844626654088, std values: 5.176445643920251, min values: 4.3283e-06, max values: 40.069, median values: 0.32938, and quantile values: 0.25 0.092442\n0.50 0.329380\n0.75 1.182100\nName: 12996, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4569968520332075, std values: 4.991109860559073, min values: 4.3638e-07, max values: 41.875, median values: 0.21852, and quantile values: 0.25 0.054781\n0.50 0.218520\n0.75 0.856115\nName: 12997, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6107754775866665, std values: 4.983006882997589, min values: 8.3438e-07, max values: 39.921, median values: 0.27512, and quantile values: 0.25 0.070740\n0.50 0.275120\n0.75 1.055555\nName: 12998, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6075652502547169, std values: 4.9492698529087065, min values: 3.1615e-06, max values: 39.957, median values: 0.25082, and quantile values: 0.25 0.077077\n0.50 0.250820\n0.75 1.042450\nName: 12999, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.646098539536478, std values: 5.147987840665832, min values: 4.2746e-06, max values: 42.098, median values: 0.29671, and quantile values: 0.25 0.085828\n0.50 0.296710\n0.75 1.045560\nName: 13000, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5009589097560379, std values: 4.962903232453513, min values: 9.8741e-07, max values: 40.26, median values: 0.19734, and quantile values: 0.25 0.062508\n0.50 0.197340\n0.75 0.926460\nName: 13001, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6655068340321384, std values: 5.265356918834746, min values: 4.8221e-07, max values: 45.498, median values: 0.27796, and quantile values: 0.25 0.066541\n0.50 0.277960\n0.75 1.119250\nName: 13002, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4438106218113207, std values: 4.8641159743573565, min values: 3.2793e-06, max values: 40.478, median values: 0.21756, and quantile values: 0.25 0.068747\n0.50 0.217560\n0.75 0.838080\nName: 13003, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5093895769220125, std values: 5.151578683634721, min values: 4.2751e-06, max values: 41.414, median values: 0.20611, and quantile values: 0.25 0.059072\n0.50 0.206110\n0.75 0.818290\nName: 13004, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.590104617764151, std values: 5.315642620030775, min values: 2.3187e-06, max values: 46.153, median values: 0.24958, and quantile values: 0.25 0.064249\n0.50 0.249580\n0.75 0.979590\nName: 13005, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5891182325431445, std values: 4.917128414144339, min values: 5.6236e-07, max values: 38.88, median values: 0.25455, and quantile values: 0.25 0.066472\n0.50 0.254550\n0.75 1.066450\nName: 13006, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4619322447295597, std values: 4.685970780586412, min values: 2.2088e-06, max values: 39.024, median values: 0.25023, and quantile values: 0.25 0.062593\n0.50 0.250230\n0.75 0.932905\nName: 13007, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.57014542576478, std values: 4.907306518024326, min values: 2.4898e-06, max values: 39.536, median values: 0.26875, and quantile values: 0.25 0.071582\n0.50 0.268750\n0.75 0.954640\nName: 13008, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4673213238874214, std values: 4.9709687267284215, min values: 1.8112e-06, max values: 40.316, median values: 0.22963, and quantile values: 0.25 0.062178\n0.50 0.229630\n0.75 0.843270\nName: 13009, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.549774379285912, std values: 4.787396904326859, min values: 8.3916e-07, max values: 37.809, median values: 0.26562, and quantile values: 0.25 0.072641\n0.50 0.265620\n0.75 1.018550\nName: 13010, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5140057980361008, std values: 4.928557919857296, min values: 5.8914e-07, max values: 40.062, median values: 0.2448, and quantile values: 0.25 0.067351\n0.50 0.244800\n0.75 0.948885\nName: 13011, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4316084676264151, std values: 4.833627667357173, min values: 2.1139e-06, max values: 40.026, median values: 0.21667, and quantile values: 0.25 0.063965\n0.50 0.216670\n0.75 0.768790\nName: 13012, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5802878055308174, std values: 4.965000027883172, min values: 1.0392e-06, max values: 40.288, median values: 0.24247, and quantile values: 0.25 0.072732\n0.50 0.242470\n0.75 1.055650\nName: 13013, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4246794792088049, std values: 4.6747594759310855, min values: 2.4863e-06, max values: 38.697, median values: 0.23798, and quantile values: 0.25 0.068852\n0.50 0.237980\n0.75 0.823415\nName: 13014, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3929967090886792, std values: 5.031741440884131, min values: 2.7351e-06, max values: 41.336, median values: 0.21421, and quantile values: 0.25 0.060587\n0.50 0.214210\n0.75 0.739565\nName: 13015, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5164970832943396, std values: 4.785935267242709, min values: 1.4339e-06, max values: 38.507, median values: 0.23678, and quantile values: 0.25 0.070469\n0.50 0.236780\n0.75 0.956790\nName: 13016, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5907569453125785, std values: 5.1213307393190695, min values: 2.3519e-06, max values: 42.306, median values: 0.2619, and quantile values: 0.25 0.076009\n0.50 0.261900\n0.75 1.001525\nName: 13017, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3442380401768552, std values: 4.944665625319094, min values: 5.1312e-07, max values: 42.454, median values: 0.19465, and quantile values: 0.25 0.05309\n0.50 0.19465\n0.75 0.70475\nName: 13018, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3336027250851572, std values: 4.895388588682005, min values: 6.5244e-07, max values: 40.06, median values: 0.16351, and quantile values: 0.25 0.053463\n0.50 0.163510\n0.75 0.750935\nName: 13019, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4701018873849054, std values: 4.949063238732504, min values: 7.918e-07, max values: 40.816, median values: 0.19575, and quantile values: 0.25 0.058241\n0.50 0.195750\n0.75 0.856865\nName: 13020, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4491272926062893, std values: 5.111424978883297, min values: 2.8831e-06, max values: 41.544, median values: 0.19674, and quantile values: 0.25 0.054328\n0.50 0.196740\n0.75 0.737155\nName: 13021, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1840979471069182, std values: 4.471886310278431, min values: 1.0413e-06, max values: 38.789, median values: 0.15615, and quantile values: 0.25 0.045995\n0.50 0.156150\n0.75 0.647220\nName: 13022, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1851103546810693, std values: 4.446659671378786, min values: 6.2289e-07, max values: 37.282, median values: 0.15061, and quantile values: 0.25 0.043443\n0.50 0.150610\n0.75 0.615615\nName: 13023, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5257995878698112, std values: 5.079581425637986, min values: 1.5909e-06, max values: 42.538, median values: 0.25068, and quantile values: 0.25 0.071752\n0.50 0.250680\n0.75 0.891945\nName: 13024, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2803235673538367, std values: 4.861536554738312, min values: 6.6006e-07, max values: 39.868, median values: 0.15894, and quantile values: 0.25 0.041043\n0.50 0.158940\n0.75 0.681015\nName: 13025, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4377194531389939, std values: 4.750223696520557, min values: 2.6434e-06, max values: 39.878, median values: 0.2176, and quantile values: 0.25 0.065998\n0.50 0.217600\n0.75 0.877225\nName: 13026, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4609391525672957, std values: 4.960926699095849, min values: 5.0213e-06, max values: 41.043, median values: 0.2169, and quantile values: 0.25 0.066487\n0.50 0.216900\n0.75 0.793605\nName: 13027, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8088136101308177, std values: 5.557640984721922, min values: 4.7949e-06, max values: 46.944, median values: 0.317, and quantile values: 0.25 0.083659\n0.50 0.317000\n0.75 1.119950\nName: 13028, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2407402085522012, std values: 4.8815964736628565, min values: 2.0325e-06, max values: 39.856, median values: 0.15755, and quantile values: 0.25 0.048267\n0.50 0.157550\n0.75 0.561010\nName: 13029, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.619074164391195, std values: 4.918810543526164, min values: 1.1655e-06, max values: 38.544, median values: 0.29166, and quantile values: 0.25 0.080161\n0.50 0.291660\n0.75 1.088700\nName: 13030, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3473241571056604, std values: 4.850902981272458, min values: 1.3315e-06, max values: 39.239, median values: 0.18545, and quantile values: 0.25 0.054098\n0.50 0.185450\n0.75 0.760225\nName: 13031, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5039431795415095, std values: 4.921517267074174, min values: 4.2718e-06, max values: 40.132, median values: 0.21976, and quantile values: 0.25 0.070181\n0.50 0.219760\n0.75 0.915145\nName: 13032, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.680289043846415, std values: 5.1607573779866485, min values: 3.7798e-07, max values: 43.884, median values: 0.26042, and quantile values: 0.25 0.063631\n0.50 0.260420\n0.75 1.145150\nName: 13033, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4297826175431447, std values: 4.809653038869891, min values: 6.7946e-07, max values: 38.251, median values: 0.2296, and quantile values: 0.25 0.063025\n0.50 0.229600\n0.75 0.858205\nName: 13034, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4191111386388051, std values: 4.819871221557131, min values: 9.5227e-07, max values: 38.489, median values: 0.1997, and quantile values: 0.25 0.059928\n0.50 0.199700\n0.75 0.806465\nName: 13035, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.395633795998742, std values: 4.785486203195204, min values: 1.0974e-06, max values: 38.145, median values: 0.22315, and quantile values: 0.25 0.063801\n0.50 0.223150\n0.75 0.799265\nName: 13036, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6131500051219496, std values: 5.604635030736663, min values: 1.7648e-07, max values: 53.242, median values: 0.19189, and quantile values: 0.25 0.047462\n0.50 0.191890\n0.75 1.038000\nName: 13037, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.564233242700629, std values: 4.780417029116168, min values: 1.1271e-06, max values: 37.84, median values: 0.2787, and quantile values: 0.25 0.080146\n0.50 0.278700\n0.75 1.021450\nName: 13038, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6273018428584907, std values: 5.077343305353429, min values: 1.156e-06, max values: 41.53, median values: 0.25998, and quantile values: 0.25 0.073292\n0.50 0.259980\n0.75 1.137150\nName: 13039, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.553961384302453, std values: 5.202487202650134, min values: 4.7179e-07, max values: 45.022, median values: 0.23206, and quantile values: 0.25 0.059984\n0.50 0.232060\n0.75 0.919230\nName: 13040, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7948963933421382, std values: 5.002300733875286, min values: 1.0917e-06, max values: 38.357, median values: 0.32372, and quantile values: 0.25 0.084838\n0.50 0.323720\n0.75 1.343850\nName: 13041, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5311748791050313, std values: 4.832445251378149, min values: 2.1659e-06, max values: 39.313, median values: 0.27948, and quantile values: 0.25 0.075571\n0.50 0.279480\n0.75 0.969775\nName: 13042, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.260672315660063, std values: 4.746246276018667, min values: 8.4355e-07, max values: 38.419, median values: 0.15952, and quantile values: 0.25 0.044016\n0.50 0.159520\n0.75 0.642495\nName: 13043, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.67168602767761, std values: 5.037564054036434, min values: 5.1714e-07, max values: 41.231, median values: 0.27057, and quantile values: 0.25 0.069065\n0.50 0.270570\n0.75 1.117750\nName: 13044, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4765838757664151, std values: 4.887416565288372, min values: 5.5106e-07, max values: 38.94, median values: 0.22589, and quantile values: 0.25 0.06346\n0.50 0.22589\n0.75 0.92515\nName: 13045, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5598569682943397, std values: 4.9507311427472445, min values: 2.2157e-06, max values: 39.158, median values: 0.27651, and quantile values: 0.25 0.075967\n0.50 0.276510\n0.75 0.977385\nName: 13046, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6069535677823898, std values: 5.09456133027826, min values: 2.565e-06, max values: 41.238, median values: 0.25521, and quantile values: 0.25 0.082929\n0.50 0.255210\n0.75 1.042900\nName: 13047, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3393301381987421, std values: 4.671893217208657, min values: 7.026e-07, max values: 38.073, median values: 0.19556, and quantile values: 0.25 0.059299\n0.50 0.195560\n0.75 0.762045\nName: 13048, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.255746537198365, std values: 4.500479213262104, min values: 1.2994e-07, max values: 36.789, median values: 0.15967, and quantile values: 0.25 0.046665\n0.50 0.159670\n0.75 0.672645\nName: 13049, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1335855354947169, std values: 4.521505560255152, min values: 2.7235e-07, max values: 37.04, median values: 0.10914, and quantile values: 0.25 0.031156\n0.50 0.109140\n0.75 0.558590\nName: 13050, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4867728747071822, std values: 5.015694605496074, min values: 2.0802e-08, max values: 42.983, median values: 0.21069, and quantile values: 0.25 0.046831\n0.50 0.210690\n0.75 0.941795\nName: 13051, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3921111617880504, std values: 4.8861461956661225, min values: 1.1338e-07, max values: 41.906, median values: 0.17019, and quantile values: 0.25 0.037599\n0.50 0.170190\n0.75 0.693085\nName: 13052, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8101481706157234, std values: 5.383446086200364, min values: 6.7969e-06, max values: 42.544, median values: 0.29513, and quantile values: 0.25 0.083157\n0.50 0.295130\n0.75 1.153300\nName: 13053, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4077350440018865, std values: 5.023732658772312, min values: 1.436e-06, max values: 41.981, median values: 0.2133, and quantile values: 0.25 0.057373\n0.50 0.213300\n0.75 0.833500\nName: 13054, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.510850454091824, std values: 4.993257726116113, min values: 3.7909e-06, max values: 40.359, median values: 0.25674, and quantile values: 0.25 0.068192\n0.50 0.256740\n0.75 0.880665\nName: 13055, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3960347458668554, std values: 4.724922769690379, min values: 2.6402e-07, max values: 37.676, median values: 0.18621, and quantile values: 0.25 0.046219\n0.50 0.186210\n0.75 0.801555\nName: 13056, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4467438394933965, std values: 4.899794105655786, min values: 9.7045e-07, max values: 39.71, median values: 0.21433, and quantile values: 0.25 0.061548\n0.50 0.214330\n0.75 0.867595\nName: 13057, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4782943633739623, std values: 4.934842477015498, min values: 1.9226e-07, max values: 40.858, median values: 0.19624, and quantile values: 0.25 0.051634\n0.50 0.196240\n0.75 0.863595\nName: 13058, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6595466517320754, std values: 5.062679055320728, min values: 2.4479e-06, max values: 40.125, median values: 0.26032, and quantile values: 0.25 0.075803\n0.50 0.260320\n0.75 1.102150\nName: 13059, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2849199797898745, std values: 4.867495521401175, min values: 2.3949e-07, max values: 41.462, median values: 0.14416, and quantile values: 0.25 0.045019\n0.50 0.144160\n0.75 0.683925\nName: 13060, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3741796939842768, std values: 4.85876105666218, min values: 1.7052e-06, max values: 39.677, median values: 0.20478, and quantile values: 0.25 0.054362\n0.50 0.204780\n0.75 0.821980\nName: 13061, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.0044462043893083, std values: 5.5740531908645, min values: 6.1599e-06, max values: 44.699, median values: 0.35017, and quantile values: 0.25 0.099104\n0.50 0.350170\n0.75 1.326750\nName: 13062, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5820041703308807, std values: 4.915185507267793, min values: 9.7231e-07, max values: 38.627, median values: 0.25028, and quantile values: 0.25 0.075223\n0.50 0.250280\n0.75 1.051250\nName: 13063, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6241355024232704, std values: 5.0628380305974, min values: 3.8719e-06, max values: 39.709, median values: 0.27992, and quantile values: 0.25 0.081665\n0.50 0.279920\n0.75 1.107150\nName: 13064, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3952404043761006, std values: 4.872541756805943, min values: 1.6678e-06, max values: 39.005, median values: 0.21609, and quantile values: 0.25 0.059892\n0.50 0.216090\n0.75 0.803075\nName: 13065, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.243652389004478, std values: 4.625134826844843, min values: 2.3962e-08, max values: 37.07, median values: 0.16515, and quantile values: 0.25 0.039013\n0.50 0.165150\n0.75 0.684545\nName: 13066, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.503071539489811, std values: 4.958913989575376, min values: 6.4158e-07, max values: 40.137, median values: 0.23198, and quantile values: 0.25 0.055846\n0.50 0.231980\n0.75 0.964130\nName: 13067, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4909257620685537, std values: 4.957970041486367, min values: 3.4967e-06, max values: 40.433, median values: 0.22121, and quantile values: 0.25 0.067465\n0.50 0.221210\n0.75 0.875855\nName: 13068, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.707976448694969, std values: 5.083428109065669, min values: 4.7583e-06, max values: 40.043, median values: 0.31586, and quantile values: 0.25 0.081371\n0.50 0.315860\n0.75 1.048050\nName: 13069, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.260841061651887, std values: 4.757383935005116, min values: 9.2645e-07, max values: 38.398, median values: 0.19444, and quantile values: 0.25 0.051325\n0.50 0.194440\n0.75 0.615585\nName: 13070, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.53409791514478, std values: 4.862474218391886, min values: 4.5502e-07, max values: 38.683, median values: 0.25197, and quantile values: 0.25 0.060729\n0.50 0.251970\n0.75 1.013250\nName: 13071, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5305963164666665, std values: 4.806528103190209, min values: 2.898e-06, max values: 39.583, median values: 0.24614, and quantile values: 0.25 0.078662\n0.50 0.246140\n0.75 0.929070\nName: 13072, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7564004778, std values: 5.235940308283818, min values: 4.1997e-06, max values: 41.839, median values: 0.28622, and quantile values: 0.25 0.078941\n0.50 0.286220\n0.75 1.174550\nName: 13073, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6465932926685536, std values: 5.039145204469506, min values: 1.1117e-06, max values: 40.976, median values: 0.27873, and quantile values: 0.25 0.075132\n0.50 0.278730\n0.75 1.104400\nName: 13074, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6823419726685536, std values: 5.096463017458182, min values: 5.2748e-06, max values: 40.268, median values: 0.30717, and quantile values: 0.25 0.081614\n0.50 0.307170\n0.75 0.955690\nName: 13075, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.578374966844025, std values: 5.159518903510905, min values: 1.3673e-06, max values: 43.529, median values: 0.2469, and quantile values: 0.25 0.069176\n0.50 0.246900\n0.75 0.978170\nName: 13076, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5123743467427673, std values: 4.973674958414004, min values: 1.6194e-06, max values: 40.905, median values: 0.23902, and quantile values: 0.25 0.069999\n0.50 0.239020\n0.75 0.885545\nName: 13077, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3896521733930818, std values: 4.738590098776069, min values: 2.6988e-06, max values: 38.849, median values: 0.22556, and quantile values: 0.25 0.067294\n0.50 0.225560\n0.75 0.774160\nName: 13078, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6444835300880503, std values: 5.00832917606028, min values: 5.5569e-06, max values: 41.123, median values: 0.29997, and quantile values: 0.25 0.076403\n0.50 0.299970\n0.75 0.997795\nName: 13079, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.531930653396415, std values: 4.986049976943495, min values: 8.1363e-07, max values: 41.444, median values: 0.24256, and quantile values: 0.25 0.069518\n0.50 0.242560\n0.75 0.930715\nName: 13080, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.509958692956635, std values: 4.9523263638336665, min values: 1.9505e-08, max values: 40.382, median values: 0.21774, and quantile values: 0.25 0.044906\n0.50 0.217740\n0.75 0.925800\nName: 13081, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6047321083138364, std values: 4.989624227543625, min values: 3.8552e-06, max values: 40.264, median values: 0.25107, and quantile values: 0.25 0.079330\n0.50 0.251070\n0.75 0.975325\nName: 13082, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.493305419008302, std values: 4.908333461037665, min values: 9.1182e-07, max values: 39.397, median values: 0.24672, and quantile values: 0.25 0.067508\n0.50 0.246720\n0.75 0.913580\nName: 13083, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6533915915264152, std values: 5.118431852321601, min values: 3.2816e-06, max values: 40.591, median values: 0.25631, and quantile values: 0.25 0.076469\n0.50 0.256310\n0.75 1.082750\nName: 13084, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6469569936813209, std values: 4.959753065996685, min values: 9.1673e-07, max values: 38.666, median values: 0.26987, and quantile values: 0.25 0.06979\n0.50 0.26987\n0.75 1.07955\nName: 13085, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6126385358934907, std values: 5.134118773228082, min values: 7.9165e-08, max values: 43.491, median values: 0.24841, and quantile values: 0.25 0.067925\n0.50 0.248410\n0.75 1.076900\nName: 13086, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9071176149132074, std values: 5.404946954329466, min values: 2.5926e-06, max values: 44.552, median values: 0.36219, and quantile values: 0.25 0.110335\n0.50 0.362190\n0.75 1.455000\nName: 13087, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4126499277789935, std values: 4.869521746236023, min values: 1.9836e-07, max values: 40.23, median values: 0.20107, and quantile values: 0.25 0.053055\n0.50 0.201070\n0.75 0.788410\nName: 13088, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4157851678528302, std values: 4.900956055989502, min values: 2.7677e-06, max values: 40.15, median values: 0.2235, and quantile values: 0.25 0.058065\n0.50 0.223500\n0.75 0.818545\nName: 13089, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5990083559301886, std values: 4.899980088305603, min values: 1.1607e-06, max values: 38.678, median values: 0.24638, and quantile values: 0.25 0.066743\n0.50 0.246380\n0.75 0.986505\nName: 13090, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.730679263471698, std values: 5.165548755703156, min values: 2.8992e-06, max values: 42.033, median values: 0.3353, and quantile values: 0.25 0.102085\n0.50 0.335300\n0.75 1.143500\nName: 13091, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4976189084092892, std values: 4.931377456904255, min values: 2.5177e-08, max values: 41.23, median values: 0.20579, and quantile values: 0.25 0.052023\n0.50 0.205790\n0.75 0.951985\nName: 13092, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.37434289673522, std values: 4.718285184805454, min values: 1.9263e-06, max values: 38.512, median values: 0.21374, and quantile values: 0.25 0.070888\n0.50 0.213740\n0.75 0.827070\nName: 13093, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5591610341031445, std values: 4.840441502301701, min values: 2.4546e-06, max values: 39.313, median values: 0.24447, and quantile values: 0.25 0.072112\n0.50 0.244470\n0.75 1.050900\nName: 13094, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4654627677560375, std values: 5.024655639023699, min values: 1.681e-08, max values: 42.694, median values: 0.20012, and quantile values: 0.25 0.055302\n0.50 0.200120\n0.75 0.860420\nName: 13095, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.621475508818868, std values: 4.918682510340088, min values: 2.0061e-06, max values: 39.338, median values: 0.26808, and quantile values: 0.25 0.066759\n0.50 0.268080\n0.75 1.119800\nName: 13096, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4541832182861636, std values: 5.014262733633784, min values: 1.2784e-06, max values: 41.914, median values: 0.20956, and quantile values: 0.25 0.056341\n0.50 0.209560\n0.75 0.784350\nName: 13097, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.475256786460409, std values: 4.884510395306067, min values: 2.4805e-08, max values: 40.228, median values: 0.18941, and quantile values: 0.25 0.049338\n0.50 0.189410\n0.75 0.911265\nName: 13098, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.461311279126415, std values: 5.128813984650452, min values: 3.3987e-06, max values: 42.22, median values: 0.20689, and quantile values: 0.25 0.06907\n0.50 0.20689\n0.75 0.85797\nName: 13099, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5818447521798742, std values: 4.827869156019925, min values: 1.6497e-06, max values: 38.457, median values: 0.25985, and quantile values: 0.25 0.070656\n0.50 0.259850\n0.75 1.040050\nName: 13100, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4882322533535222, std values: 5.159877403081898, min values: 1.9111e-07, max values: 45.417, median values: 0.19567, and quantile values: 0.25 0.053388\n0.50 0.195670\n0.75 0.834135\nName: 13101, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4030652944739055, std values: 4.959836319935957, min values: 1.5051e-08, max values: 41.9, median values: 0.17768, and quantile values: 0.25 0.045831\n0.50 0.177680\n0.75 0.723625\nName: 13102, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6177880248144654, std values: 5.1629527755383355, min values: 2.2478e-06, max values: 42.125, median values: 0.23866, and quantile values: 0.25 0.074176\n0.50 0.238660\n0.75 1.030950\nName: 13103, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2930701025212579, std values: 4.907635272254972, min values: 8.2198e-07, max values: 40.479, median values: 0.18008, and quantile values: 0.25 0.053083\n0.50 0.180080\n0.75 0.691515\nName: 13104, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6057146535742137, std values: 5.167020898930175, min values: 2.0312e-06, max values: 43.226, median values: 0.2796, and quantile values: 0.25 0.068112\n0.50 0.279600\n0.75 0.979205\nName: 13105, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5441305101899372, std values: 4.853402460222531, min values: 3.0854e-06, max values: 39.128, median values: 0.26207, and quantile values: 0.25 0.080196\n0.50 0.262070\n0.75 0.942935\nName: 13106, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4756149500937106, std values: 5.12460462497293, min values: 4.2001e-06, max values: 40.908, median values: 0.22111, and quantile values: 0.25 0.058193\n0.50 0.221110\n0.75 0.744145\nName: 13107, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.533597461154717, std values: 5.0377022420196695, min values: 1.1129e-06, max values: 42.053, median values: 0.21717, and quantile values: 0.25 0.065606\n0.50 0.217170\n0.75 0.962425\nName: 13108, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7609074212949685, std values: 5.086276121079237, min values: 3.142e-06, max values: 39.176, median values: 0.30648, and quantile values: 0.25 0.092657\n0.50 0.306480\n0.75 1.219850\nName: 13109, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3883274211275471, std values: 4.615147905936335, min values: 2.6929e-07, max values: 36.101, median values: 0.20297, and quantile values: 0.25 0.049516\n0.50 0.202970\n0.75 0.789080\nName: 13110, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.457706985422654, std values: 4.948282591817199, min values: 1.6302e-08, max values: 41.33, median values: 0.19771, and quantile values: 0.25 0.048276\n0.50 0.197710\n0.75 0.934065\nName: 13111, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4281946420549685, std values: 4.985040404177481, min values: 9.8524e-07, max values: 41.541, median values: 0.23803, and quantile values: 0.25 0.061180\n0.50 0.238030\n0.75 0.769515\nName: 13112, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9386291818515726, std values: 5.298507031797184, min values: 6.7014e-06, max values: 40.749, median values: 0.3432, and quantile values: 0.25 0.096461\n0.50 0.343200\n0.75 1.287750\nName: 13113, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6080774603201258, std values: 5.034992325463275, min values: 2.5069e-06, max values: 39.862, median values: 0.25368, and quantile values: 0.25 0.069885\n0.50 0.253680\n0.75 1.048095\nName: 13114, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5842290775119496, std values: 5.0519088095535585, min values: 9.213e-07, max values: 41.492, median values: 0.25614, and quantile values: 0.25 0.068152\n0.50 0.256140\n0.75 1.037800\nName: 13115, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5487600362056608, std values: 4.9927002954681745, min values: 1.1873e-06, max values: 40.886, median values: 0.23668, and quantile values: 0.25 0.067340\n0.50 0.236680\n0.75 0.979975\nName: 13116, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3216804707048426, std values: 4.596397889845441, min values: 8.5657e-07, max values: 38.156, median values: 0.1995, and quantile values: 0.25 0.053305\n0.50 0.199500\n0.75 0.763465\nName: 13117, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4792402470595598, std values: 5.002708442877087, min values: 9.3907e-07, max values: 41.744, median values: 0.22253, and quantile values: 0.25 0.058514\n0.50 0.222530\n0.75 0.801065\nName: 13118, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4060939734411322, std values: 4.858841517206996, min values: 8.5284e-07, max values: 39.126, median values: 0.17955, and quantile values: 0.25 0.058911\n0.50 0.179550\n0.75 0.756060\nName: 13119, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.373903780999371, std values: 4.654203388490191, min values: 2.0651e-06, max values: 38.778, median values: 0.19568, and quantile values: 0.25 0.053627\n0.50 0.195680\n0.75 0.853155\nName: 13120, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.552474145367736, std values: 5.041261840979561, min values: 3.2647e-07, max values: 42.12, median values: 0.24367, and quantile values: 0.25 0.064229\n0.50 0.243670\n0.75 1.026250\nName: 13121, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.643238110480503, std values: 5.2864242209712025, min values: 2.13e-06, max values: 45.884, median values: 0.2944, and quantile values: 0.25 0.084707\n0.50 0.294400\n0.75 1.029050\nName: 13122, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5423115669805032, std values: 4.813662414557431, min values: 3.4449e-06, max values: 40.326, median values: 0.23048, and quantile values: 0.25 0.067378\n0.50 0.230480\n0.75 0.989200\nName: 13123, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3376301884289938, std values: 4.770396481155858, min values: 4.8071e-07, max values: 38.353, median values: 0.18868, and quantile values: 0.25 0.053109\n0.50 0.188680\n0.75 0.677390\nName: 13124, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.63043778501761, std values: 5.1428148731899155, min values: 1.9261e-06, max values: 41.255, median values: 0.22924, and quantile values: 0.25 0.070936\n0.50 0.229240\n0.75 1.043550\nName: 13125, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5887633056423274, std values: 4.772348438410253, min values: 3.8293e-07, max values: 38.268, median values: 0.26098, and quantile values: 0.25 0.073886\n0.50 0.260980\n0.75 1.089550\nName: 13126, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2204649045179876, std values: 4.597822778027279, min values: 9.9706e-07, max values: 38.278, median values: 0.14277, and quantile values: 0.25 0.049547\n0.50 0.142770\n0.75 0.593775\nName: 13127, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5619195729251574, std values: 4.801855447036839, min values: 1.2267e-06, max values: 37.604, median values: 0.24854, and quantile values: 0.25 0.063717\n0.50 0.248540\n0.75 1.006215\nName: 13128, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.396307181373019, std values: 4.641146890563712, min values: 2.2273e-08, max values: 36.712, median values: 0.21341, and quantile values: 0.25 0.044994\n0.50 0.213410\n0.75 0.808875\nName: 13129, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.430847311801258, std values: 4.963541727686062, min values: 1.2531e-06, max values: 39.98, median values: 0.22252, and quantile values: 0.25 0.062854\n0.50 0.222520\n0.75 0.877815\nName: 13130, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4230170739891197, std values: 4.994086849049081, min values: 2.2213e-07, max values: 43.072, median values: 0.20595, and quantile values: 0.25 0.051120\n0.50 0.205950\n0.75 0.785965\nName: 13131, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3014962445968554, std values: 4.764796362017702, min values: 1.2376e-06, max values: 38.362, median values: 0.18126, and quantile values: 0.25 0.050662\n0.50 0.181260\n0.75 0.675640\nName: 13132, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5308294287742137, std values: 4.958265906663291, min values: 2.8458e-06, max values: 40.053, median values: 0.24427, and quantile values: 0.25 0.064315\n0.50 0.244270\n0.75 0.927495\nName: 13133, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4506428193597485, std values: 4.9424648248356435, min values: 1.3474e-06, max values: 40.599, median values: 0.22101, and quantile values: 0.25 0.061686\n0.50 0.221010\n0.75 0.854285\nName: 13134, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3553806027773585, std values: 4.768894017236654, min values: 4.938e-07, max values: 38.203, median values: 0.20477, and quantile values: 0.25 0.055513\n0.50 0.204770\n0.75 0.809145\nName: 13135, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7101980328697737, std values: 4.969080895765856, min values: 3.3194e-08, max values: 39.527, median values: 0.30441, and quantile values: 0.25 0.06853\n0.50 0.30441\n0.75 1.21595\nName: 13136, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5215726838534593, std values: 5.108571372196605, min values: 4.5555e-06, max values: 40.898, median values: 0.24646, and quantile values: 0.25 0.071908\n0.50 0.246460\n0.75 0.835040\nName: 13137, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.558921769865912, std values: 4.981909779017755, min values: 5.0408e-07, max values: 39.611, median values: 0.20748, and quantile values: 0.25 0.055845\n0.50 0.207480\n0.75 0.938680\nName: 13138, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5160254419428303, std values: 4.9616238695347485, min values: 4.6351e-07, max values: 41.461, median values: 0.28088, and quantile values: 0.25 0.071190\n0.50 0.280880\n0.75 0.977575\nName: 13139, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.355309305829497, std values: 4.781796863918527, min values: 9.0479e-07, max values: 38.666, median values: 0.21957, and quantile values: 0.25 0.063297\n0.50 0.219570\n0.75 0.766340\nName: 13140, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4631023996691825, std values: 4.92453457245852, min values: 1.4206e-06, max values: 39.819, median values: 0.18533, and quantile values: 0.25 0.061845\n0.50 0.185330\n0.75 0.851150\nName: 13141, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.396485210071132, std values: 4.729572636053027, min values: 9.8021e-07, max values: 38.665, median values: 0.19368, and quantile values: 0.25 0.060208\n0.50 0.193680\n0.75 0.847835\nName: 13142, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3413876373425158, std values: 4.734015844030685, min values: 9.7406e-07, max values: 39.302, median values: 0.17558, and quantile values: 0.25 0.052203\n0.50 0.175580\n0.75 0.765860\nName: 13143, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5578003637880504, std values: 4.989601915498653, min values: 3.8578e-06, max values: 40.275, median values: 0.21806, and quantile values: 0.25 0.068728\n0.50 0.218060\n0.75 0.949450\nName: 13144, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8363791757176098, std values: 5.334824403737888, min values: 3.4893e-06, max values: 42.965, median values: 0.30388, and quantile values: 0.25 0.08890\n0.50 0.30388\n0.75 1.27210\nName: 13145, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4642751827801257, std values: 5.044681336810069, min values: 9.1634e-07, max values: 42.873, median values: 0.22232, and quantile values: 0.25 0.056773\n0.50 0.222320\n0.75 0.844190\nName: 13146, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6494755753798742, std values: 5.102693391697672, min values: 3.151e-06, max values: 40.451, median values: 0.25914, and quantile values: 0.25 0.067344\n0.50 0.259140\n0.75 1.057150\nName: 13147, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6225148214269811, std values: 4.949895783891727, min values: 9.3449e-07, max values: 39.056, median values: 0.26498, and quantile values: 0.25 0.069529\n0.50 0.264980\n0.75 1.089950\nName: 13148, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4990250020018867, std values: 5.181343857881757, min values: 3.5381e-06, max values: 43.325, median values: 0.21882, and quantile values: 0.25 0.060355\n0.50 0.218820\n0.75 0.815075\nName: 13149, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.364999634586541, std values: 4.793244892568279, min values: 1.2865e-07, max values: 40.253, median values: 0.1942, and quantile values: 0.25 0.047912\n0.50 0.194200\n0.75 0.783995\nName: 13150, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.506647661936478, std values: 5.019902643331344, min values: 2.607e-07, max values: 42.112, median values: 0.22818, and quantile values: 0.25 0.051151\n0.50 0.228180\n0.75 0.929415\nName: 13151, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4256581884069184, std values: 5.004147181370283, min values: 2.1336e-06, max values: 41.656, median values: 0.22869, and quantile values: 0.25 0.060794\n0.50 0.228690\n0.75 0.817830\nName: 13152, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4436459307279181, std values: 4.714954920673516, min values: 3.1289e-08, max values: 37.171, median values: 0.19294, and quantile values: 0.25 0.046009\n0.50 0.192940\n0.75 0.950065\nName: 13153, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4134978051352203, std values: 4.727103998006411, min values: 1.9037e-06, max values: 38.447, median values: 0.21318, and quantile values: 0.25 0.059387\n0.50 0.213180\n0.75 0.863960\nName: 13154, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.490507928499308, std values: 5.060460506780551, min values: 4.5539e-07, max values: 43.362, median values: 0.22216, and quantile values: 0.25 0.050306\n0.50 0.222160\n0.75 0.868795\nName: 13155, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6307478073080501, std values: 5.149677368541197, min values: 8.0018e-07, max values: 43.248, median values: 0.26653, and quantile values: 0.25 0.073912\n0.50 0.266530\n0.75 1.074400\nName: 13156, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6596294098660376, std values: 4.97986352228059, min values: 4.1204e-06, max values: 39.756, median values: 0.27349, and quantile values: 0.25 0.089319\n0.50 0.273490\n0.75 1.048700\nName: 13157, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5130617131899373, std values: 4.878171289833628, min values: 2.7478e-06, max values: 40.232, median values: 0.22059, and quantile values: 0.25 0.066096\n0.50 0.220590\n0.75 0.948725\nName: 13158, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.553191723609937, std values: 4.8960257761826975, min values: 2.5368e-07, max values: 39.133, median values: 0.24728, and quantile values: 0.25 0.061567\n0.50 0.247280\n0.75 1.006750\nName: 13159, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1518111354730818, std values: 4.686633322752096, min values: 5.1672e-07, max values: 38.011, median values: 0.14003, and quantile values: 0.25 0.041541\n0.50 0.140030\n0.75 0.571825\nName: 13160, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5222041572216982, std values: 4.945375933077397, min values: 1.2088e-07, max values: 41.596, median values: 0.22705, and quantile values: 0.25 0.050867\n0.50 0.227050\n0.75 0.922125\nName: 13161, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5712759413420754, std values: 5.111706971555111, min values: 6.3869e-07, max values: 42.883, median values: 0.24492, and quantile values: 0.25 0.063311\n0.50 0.244920\n0.75 1.010400\nName: 13162, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5161792670264782, std values: 4.805698816263569, min values: 7.4021e-07, max values: 38.303, median values: 0.24969, and quantile values: 0.25 0.065660\n0.50 0.249690\n0.75 0.971265\nName: 13163, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4322320073433963, std values: 4.913386123537173, min values: 2.6281e-06, max values: 39.948, median values: 0.22262, and quantile values: 0.25 0.067037\n0.50 0.222620\n0.75 0.781515\nName: 13164, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3515127527591195, std values: 4.622231782231296, min values: 1.5153e-06, max values: 39.543, median values: 0.18698, and quantile values: 0.25 0.058014\n0.50 0.186980\n0.75 0.775320\nName: 13165, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4480418482210187, std values: 4.65640279742035, min values: 6.5662e-08, max values: 36.13, median values: 0.17244, and quantile values: 0.25 0.044978\n0.50 0.172440\n0.75 0.889335\nName: 13166, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.577839051018868, std values: 4.983419394340575, min values: 1.6644e-06, max values: 39.716, median values: 0.25631, and quantile values: 0.25 0.068745\n0.50 0.256310\n0.75 1.101250\nName: 13167, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5107231859924528, std values: 4.880812529268656, min values: 7.648e-07, max values: 39.556, median values: 0.20686, and quantile values: 0.25 0.057982\n0.50 0.206860\n0.75 0.886310\nName: 13168, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6338045088534592, std values: 5.075932343990277, min values: 4.596e-06, max values: 40.964, median values: 0.27741, and quantile values: 0.25 0.079310\n0.50 0.277410\n0.75 1.003745\nName: 13169, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.478169746769371, std values: 4.9069027953244735, min values: 5.5853e-07, max values: 40.212, median values: 0.20407, and quantile values: 0.25 0.055374\n0.50 0.204070\n0.75 0.852505\nName: 13170, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4062913361385532, std values: 4.922224297714567, min values: 4.7033e-07, max values: 41.047, median values: 0.17611, and quantile values: 0.25 0.050159\n0.50 0.176110\n0.75 0.849970\nName: 13171, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6192861624880501, std values: 5.008290007660394, min values: 4.1028e-06, max values: 40.907, median values: 0.23452, and quantile values: 0.25 0.070593\n0.50 0.234520\n0.75 1.010880\nName: 13172, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6720643285251573, std values: 5.032810927081932, min values: 5.3419e-06, max values: 39.591, median values: 0.27969, and quantile values: 0.25 0.082434\n0.50 0.279690\n0.75 1.034995\nName: 13173, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4216454108933647, std values: 4.605667970135703, min values: 2.0942e-08, max values: 36.117, median values: 0.17151, and quantile values: 0.25 0.037284\n0.50 0.171510\n0.75 0.737950\nName: 13174, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3053360920108803, std values: 4.623812028214441, min values: 2.0613e-07, max values: 37.204, median values: 0.17253, and quantile values: 0.25 0.053417\n0.50 0.172530\n0.75 0.749245\nName: 13175, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4304940206383652, std values: 4.983337925316154, min values: 7.834e-07, max values: 41.845, median values: 0.20397, and quantile values: 0.25 0.057537\n0.50 0.203970\n0.75 0.857045\nName: 13176, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5642036517635218, std values: 4.912664068891579, min values: 3.4979e-06, max values: 40.014, median values: 0.26252, and quantile values: 0.25 0.072543\n0.50 0.262520\n0.75 0.971935\nName: 13177, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3022741927933335, std values: 4.685702283959446, min values: 6.3834e-07, max values: 37.782, median values: 0.17722, and quantile values: 0.25 0.051636\n0.50 0.177220\n0.75 0.716245\nName: 13178, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5500857768849057, std values: 5.011469814175552, min values: 1.3071e-06, max values: 41.217, median values: 0.22109, and quantile values: 0.25 0.066131\n0.50 0.221090\n0.75 0.938630\nName: 13179, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4371387126597484, std values: 4.80685368206991, min values: 1.0713e-06, max values: 37.932, median values: 0.21243, and quantile values: 0.25 0.058902\n0.50 0.212430\n0.75 0.831485\nName: 13180, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.462390244609874, std values: 4.694547447739806, min values: 1.3677e-07, max values: 37.887, median values: 0.22525, and quantile values: 0.25 0.056709\n0.50 0.225250\n0.75 0.922190\nName: 13181, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.546610324364151, std values: 4.94678021392636, min values: 2.3161e-06, max values: 39.191, median values: 0.23688, and quantile values: 0.25 0.069859\n0.50 0.236880\n0.75 0.985640\nName: 13182, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6519599629308177, std values: 5.219056521843117, min values: 6.1225e-06, max values: 41.883, median values: 0.25661, and quantile values: 0.25 0.073102\n0.50 0.256610\n0.75 0.989420\nName: 13183, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4974568666320756, std values: 5.297346329554325, min values: 1.8731e-06, max values: 46.074, median values: 0.21507, and quantile values: 0.25 0.054554\n0.50 0.215070\n0.75 0.903655\nName: 13184, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4896186593012577, std values: 5.13947621405912, min values: 1.5513e-06, max values: 43.127, median values: 0.21568, and quantile values: 0.25 0.060297\n0.50 0.215680\n0.75 0.914690\nName: 13185, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3715044325167927, std values: 4.740543366221631, min values: 1.6258e-07, max values: 38.828, median values: 0.19245, and quantile values: 0.25 0.041676\n0.50 0.192450\n0.75 0.741910\nName: 13186, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7824168102333335, std values: 4.935257140372528, min values: 1.8018e-06, max values: 38.455, median values: 0.33793, and quantile values: 0.25 0.092248\n0.50 0.337930\n0.75 1.292550\nName: 13187, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5062583160796854, std values: 4.9581366067953665, min values: 5.2347e-07, max values: 40.8, median values: 0.22969, and quantile values: 0.25 0.058828\n0.50 0.229690\n0.75 0.915775\nName: 13188, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8834910486943397, std values: 5.224842126462303, min values: 6.3054e-06, max values: 40.181, median values: 0.33661, and quantile values: 0.25 0.103455\n0.50 0.336610\n0.75 1.269250\nName: 13189, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6090115458333334, std values: 5.2380104973386965, min values: 2.4007e-06, max values: 43.566, median values: 0.23251, and quantile values: 0.25 0.072693\n0.50 0.232510\n0.75 1.011975\nName: 13190, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2378584771162264, std values: 4.505092174824191, min values: 5.6438e-07, max values: 36.849, median values: 0.16967, and quantile values: 0.25 0.050069\n0.50 0.169670\n0.75 0.690795\nName: 13191, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3545730880044027, std values: 4.938166365381632, min values: 1.4854e-06, max values: 40.148, median values: 0.18422, and quantile values: 0.25 0.055637\n0.50 0.184220\n0.75 0.798640\nName: 13192, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6071465397522011, std values: 4.919612973911669, min values: 3.4077e-06, max values: 39.688, median values: 0.27396, and quantile values: 0.25 0.078228\n0.50 0.273960\n0.75 1.029100\nName: 13193, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5002601078320754, std values: 5.111129895774915, min values: 2.6643e-06, max values: 41.88, median values: 0.20027, and quantile values: 0.25 0.066671\n0.50 0.200270\n0.75 0.847390\nName: 13194, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3813786303930817, std values: 4.9693597479587215, min values: 1.8777e-06, max values: 41.017, median values: 0.19342, and quantile values: 0.25 0.057440\n0.50 0.193420\n0.75 0.759305\nName: 13195, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5290843063036479, std values: 4.806658712663469, min values: 5.7648e-07, max values: 38.215, median values: 0.21707, and quantile values: 0.25 0.062921\n0.50 0.217070\n0.75 0.924235\nName: 13196, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6136377514654088, std values: 4.971622662306421, min values: 3.221e-06, max values: 40.19, median values: 0.26805, and quantile values: 0.25 0.070519\n0.50 0.268050\n0.75 1.019260\nName: 13197, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.626853696046541, std values: 5.166835643121935, min values: 1.9145e-06, max values: 42.961, median values: 0.27276, and quantile values: 0.25 0.069215\n0.50 0.272760\n0.75 1.077050\nName: 13198, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.509569443545912, std values: 4.962060197098406, min values: 2.4659e-06, max values: 39.884, median values: 0.24188, and quantile values: 0.25 0.065352\n0.50 0.241880\n0.75 0.855735\nName: 13199, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.339039420078742, std values: 4.71661930839027, min values: 8.7342e-07, max values: 38.433, median values: 0.18153, and quantile values: 0.25 0.063622\n0.50 0.181530\n0.75 0.728685\nName: 13200, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4029123042508174, std values: 5.0392780192905, min values: 2.6738e-07, max values: 42.952, median values: 0.17946, and quantile values: 0.25 0.048046\n0.50 0.179460\n0.75 0.779695\nName: 13201, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8294608174811322, std values: 5.206201032447849, min values: 8.258e-07, max values: 42.653, median values: 0.31188, and quantile values: 0.25 0.091695\n0.50 0.311880\n0.75 1.318450\nName: 13202, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4082152742880503, std values: 5.150135166190676, min values: 1.3467e-06, max values: 44.6, median values: 0.17716, and quantile values: 0.25 0.058389\n0.50 0.177160\n0.75 0.767505\nName: 13203, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4335965999477989, std values: 4.7260447227764875, min values: 3.202e-06, max values: 40.8, median values: 0.23126, and quantile values: 0.25 0.066578\n0.50 0.231260\n0.75 0.826990\nName: 13204, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4802797273415096, std values: 5.045124798302746, min values: 2.265e-06, max values: 40.89, median values: 0.25282, and quantile values: 0.25 0.063219\n0.50 0.252820\n0.75 0.901480\nName: 13205, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.455615458062761, std values: 5.06395451348804, min values: 2.1679e-08, max values: 44.187, median values: 0.1994, and quantile values: 0.25 0.046087\n0.50 0.199400\n0.75 0.792310\nName: 13206, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3081285297654088, std values: 4.73894957684518, min values: 1.8751e-06, max values: 38.134, median values: 0.17814, and quantile values: 0.25 0.059113\n0.50 0.178140\n0.75 0.686765\nName: 13207, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4679570574477987, std values: 4.8287072647240885, min values: 1.5215e-06, max values: 38.433, median values: 0.23118, and quantile values: 0.25 0.064435\n0.50 0.231180\n0.75 0.882205\nName: 13208, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.481034961069371, std values: 4.778866817009408, min values: 1.1193e-07, max values: 37.625, median values: 0.20166, and quantile values: 0.25 0.058869\n0.50 0.201660\n0.75 0.871715\nName: 13209, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6065140279245282, std values: 5.011844144615996, min values: 2.0881e-06, max values: 39.113, median values: 0.25514, and quantile values: 0.25 0.071706\n0.50 0.255140\n0.75 0.916185\nName: 13210, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.420855552837736, std values: 4.837468035074226, min values: 1.9908e-06, max values: 39.154, median values: 0.20382, and quantile values: 0.25 0.064059\n0.50 0.203820\n0.75 0.858065\nName: 13211, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.377327574555786, std values: 4.50987145276167, min values: 6.2787e-07, max values: 37.54, median values: 0.20294, and quantile values: 0.25 0.055897\n0.50 0.202940\n0.75 0.837185\nName: 13212, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3849579172715725, std values: 4.870177439665291, min values: 5.4408e-07, max values: 40.441, median values: 0.21736, and quantile values: 0.25 0.059605\n0.50 0.217360\n0.75 0.776635\nName: 13213, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.442159076659535, std values: 4.898028439974878, min values: 3.3256e-08, max values: 41.53, median values: 0.18515, and quantile values: 0.25 0.042614\n0.50 0.185150\n0.75 0.842755\nName: 13214, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5963339613779877, std values: 4.946541489682212, min values: 2.0094e-06, max values: 39.81, median values: 0.26767, and quantile values: 0.25 0.070345\n0.50 0.267670\n0.75 1.122800\nName: 13215, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.517850968022453, std values: 4.777659273564344, min values: 8.5847e-07, max values: 38.094, median values: 0.23697, and quantile values: 0.25 0.067659\n0.50 0.236970\n0.75 1.031525\nName: 13216, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.443093237093516, std values: 5.078312561030907, min values: 2.4079e-08, max values: 44.531, median values: 0.16926, and quantile values: 0.25 0.049526\n0.50 0.169260\n0.75 0.826545\nName: 13217, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3930576496050315, std values: 4.616610573031872, min values: 1.1398e-06, max values: 38.237, median values: 0.20897, and quantile values: 0.25 0.058218\n0.50 0.208970\n0.75 0.848970\nName: 13218, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.505661789009434, std values: 4.99353567934289, min values: 4.0039e-06, max values: 39.452, median values: 0.23006, and quantile values: 0.25 0.063778\n0.50 0.230060\n0.75 0.838545\nName: 13219, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6989115507226416, std values: 5.110266638828123, min values: 1.7517e-06, max values: 40.288, median values: 0.25275, and quantile values: 0.25 0.06935\n0.50 0.25275\n0.75 1.15255\nName: 13220, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6222898608433964, std values: 5.008172820613916, min values: 2.4091e-06, max values: 39.436, median values: 0.2466, and quantile values: 0.25 0.073651\n0.50 0.246600\n0.75 1.051500\nName: 13221, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3275457038653458, std values: 4.816795621818447, min values: 3.2349e-07, max values: 39.564, median values: 0.17228, and quantile values: 0.25 0.048337\n0.50 0.172280\n0.75 0.710100\nName: 13222, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4239366859955975, std values: 4.798960792342284, min values: 1.4361e-06, max values: 38.626, median values: 0.23463, and quantile values: 0.25 0.057744\n0.50 0.234630\n0.75 0.799035\nName: 13223, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5920066798798742, std values: 5.308114106172371, min values: 4.4044e-06, max values: 43.708, median values: 0.25078, and quantile values: 0.25 0.064756\n0.50 0.250780\n0.75 0.911405\nName: 13224, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8589834956685536, std values: 5.269639911111556, min values: 1.4804e-06, max values: 42.222, median values: 0.31755, and quantile values: 0.25 0.085791\n0.50 0.317550\n0.75 1.308300\nName: 13225, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4087372730750314, std values: 4.873277694862763, min values: 5.6243e-07, max values: 39.509, median values: 0.2173, and quantile values: 0.25 0.056510\n0.50 0.217300\n0.75 0.865255\nName: 13226, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4243885337641509, std values: 5.032462035152479, min values: 2.9238e-06, max values: 40.459, median values: 0.20809, and quantile values: 0.25 0.064274\n0.50 0.208090\n0.75 0.763740\nName: 13227, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2339443065457858, std values: 4.795593734594344, min values: 4.7748e-07, max values: 40.103, median values: 0.15341, and quantile values: 0.25 0.04637\n0.50 0.15341\n0.75 0.63818\nName: 13228, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3727253734891194, std values: 4.556415672868475, min values: 9.8657e-07, max values: 37.883, median values: 0.22095, and quantile values: 0.25 0.06501\n0.50 0.22095\n0.75 0.82482\nName: 13229, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4105253834930818, std values: 4.924804276826008, min values: 1.5825e-06, max values: 39.692, median values: 0.19705, and quantile values: 0.25 0.057491\n0.50 0.197050\n0.75 0.835575\nName: 13230, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6000341045924527, std values: 5.282903514571776, min values: 1.8601e-06, max values: 45.349, median values: 0.24313, and quantile values: 0.25 0.072587\n0.50 0.243130\n0.75 0.997635\nName: 13231, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5358726631201256, std values: 4.975476649974937, min values: 1.9058e-06, max values: 39.773, median values: 0.23268, and quantile values: 0.25 0.062931\n0.50 0.232680\n0.75 0.983465\nName: 13232, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5819183487672956, std values: 4.93038762761981, min values: 2.5433e-06, max values: 39.352, median values: 0.26438, and quantile values: 0.25 0.07603\n0.50 0.26438\n0.75 1.05555\nName: 13233, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7643069730314465, std values: 5.43193523318083, min values: 3.4055e-06, max values: 45.255, median values: 0.30463, and quantile values: 0.25 0.088906\n0.50 0.304630\n0.75 1.195700\nName: 13234, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3985134455742136, std values: 4.671609955133456, min values: 2.8384e-06, max values: 38.486, median values: 0.22676, and quantile values: 0.25 0.070704\n0.50 0.226760\n0.75 0.827190\nName: 13235, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.294240310895459, std values: 4.721126030870086, min values: 6.8368e-08, max values: 38.356, median values: 0.1795, and quantile values: 0.25 0.051609\n0.50 0.179500\n0.75 0.714950\nName: 13236, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5973793830364778, std values: 5.13723852263752, min values: 3.1061e-06, max values: 42.443, median values: 0.25682, and quantile values: 0.25 0.077289\n0.50 0.256820\n0.75 1.021600\nName: 13237, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4079940382106917, std values: 4.8988932734291275, min values: 1.6324e-06, max values: 40.521, median values: 0.2232, and quantile values: 0.25 0.058907\n0.50 0.223200\n0.75 0.776270\nName: 13238, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3312069377334592, std values: 4.607104939160328, min values: 2.6062e-07, max values: 36.836, median values: 0.19316, and quantile values: 0.25 0.052457\n0.50 0.193160\n0.75 0.731475\nName: 13239, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.263842942640459, std values: 4.486065254779311, min values: 2.7617e-08, max values: 36.217, median values: 0.14368, and quantile values: 0.25 0.034178\n0.50 0.143680\n0.75 0.665845\nName: 13240, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5037983463067295, std values: 4.866564717499775, min values: 3.7597e-07, max values: 39.693, median values: 0.26705, and quantile values: 0.25 0.056521\n0.50 0.267050\n0.75 0.969080\nName: 13241, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.762357798440566, std values: 5.153650954855182, min values: 9.4995e-07, max values: 41.738, median values: 0.2763, and quantile values: 0.25 0.079609\n0.50 0.276300\n0.75 1.239550\nName: 13242, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.35178054005522, std values: 4.774502115541142, min values: 2.1428e-07, max values: 39.048, median values: 0.19474, and quantile values: 0.25 0.049496\n0.50 0.194740\n0.75 0.791055\nName: 13243, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5489304935628931, std values: 4.875486594980343, min values: 5.2725e-06, max values: 40.559, median values: 0.24791, and quantile values: 0.25 0.066343\n0.50 0.247910\n0.75 0.941065\nName: 13244, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2732202785352833, std values: 4.60260568522259, min values: 2.5165e-07, max values: 36.815, median values: 0.16735, and quantile values: 0.25 0.047663\n0.50 0.167350\n0.75 0.664350\nName: 13245, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4360822984522013, std values: 4.683166265768763, min values: 2.2854e-06, max values: 38.807, median values: 0.22391, and quantile values: 0.25 0.064975\n0.50 0.223910\n0.75 0.924435\nName: 13246, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.500791992469937, std values: 4.786441573541832, min values: 6.6252e-07, max values: 38.491, median values: 0.22663, and quantile values: 0.25 0.066436\n0.50 0.226630\n0.75 0.926685\nName: 13247, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5901250076610693, std values: 5.006083975059637, min values: 6.0911e-07, max values: 40.762, median values: 0.24629, and quantile values: 0.25 0.066432\n0.50 0.246290\n0.75 1.035805\nName: 13248, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6656082022490568, std values: 5.174260421701138, min values: 4.9352e-06, max values: 40.627, median values: 0.27351, and quantile values: 0.25 0.07984\n0.50 0.27351\n0.75 1.00129\nName: 13249, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.48920153151195, std values: 4.989293361998593, min values: 1.1608e-06, max values: 40.949, median values: 0.233, and quantile values: 0.25 0.055852\n0.50 0.233000\n0.75 0.860250\nName: 13250, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.452068349204151, std values: 4.665414268818666, min values: 1.0676e-07, max values: 37.053, median values: 0.21703, and quantile values: 0.25 0.053739\n0.50 0.217030\n0.75 0.912455\nName: 13251, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6755894816213837, std values: 4.956748284399555, min values: 1.5219e-06, max values: 38.63, median values: 0.29684, and quantile values: 0.25 0.083054\n0.50 0.296840\n0.75 1.180000\nName: 13252, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5388766108433962, std values: 4.920641905156095, min values: 3.7062e-06, max values: 39.584, median values: 0.24394, and quantile values: 0.25 0.069669\n0.50 0.243940\n0.75 0.947655\nName: 13253, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.547494119069371, std values: 4.982064642322559, min values: 6.0693e-07, max values: 40.937, median values: 0.22597, and quantile values: 0.25 0.058206\n0.50 0.225970\n0.75 0.962515\nName: 13254, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5217706618779874, std values: 4.872397150539746, min values: 3.1933e-06, max values: 39.347, median values: 0.25526, and quantile values: 0.25 0.07533\n0.50 0.25526\n0.75 0.92884\nName: 13255, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.474851754383648, std values: 4.995636369092678, min values: 1.9881e-06, max values: 40.864, median values: 0.24256, and quantile values: 0.25 0.063031\n0.50 0.242560\n0.75 0.933820\nName: 13256, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6624265481427674, std values: 5.116245182064099, min values: 2.8541e-06, max values: 40.423, median values: 0.25773, and quantile values: 0.25 0.077447\n0.50 0.257730\n0.75 1.093050\nName: 13257, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5005612456402517, std values: 5.123959332293978, min values: 4.5874e-06, max values: 41.865, median values: 0.20898, and quantile values: 0.25 0.071102\n0.50 0.208980\n0.75 0.860105\nName: 13258, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.533429495074214, std values: 5.115061181337765, min values: 1.0559e-06, max values: 43.218, median values: 0.21216, and quantile values: 0.25 0.066826\n0.50 0.212160\n0.75 0.945410\nName: 13259, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5215723333528302, std values: 4.801671813294045, min values: 9.319e-07, max values: 38.942, median values: 0.21877, and quantile values: 0.25 0.064508\n0.50 0.218770\n0.75 0.920570\nName: 13260, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3780498471193083, std values: 4.862174708955425, min values: 9.9447e-07, max values: 39.027, median values: 0.16118, and quantile values: 0.25 0.053227\n0.50 0.161180\n0.75 0.714065\nName: 13261, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5048870086050317, std values: 4.924449087296733, min values: 5.107e-07, max values: 39.891, median values: 0.20094, and quantile values: 0.25 0.057292\n0.50 0.200940\n0.75 0.962425\nName: 13262, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.688685309642767, std values: 5.171989127036838, min values: 2.7077e-06, max values: 41.576, median values: 0.26475, and quantile values: 0.25 0.073861\n0.50 0.264750\n0.75 1.043450\nName: 13263, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3886048748025157, std values: 4.647603688706661, min values: 7.166e-07, max values: 37.214, median values: 0.22744, and quantile values: 0.25 0.060209\n0.50 0.227440\n0.75 0.825385\nName: 13264, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4396290605553461, std values: 4.906353523037764, min values: 1.0721e-06, max values: 39.256, median values: 0.18784, and quantile values: 0.25 0.060468\n0.50 0.187840\n0.75 0.853035\nName: 13265, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.546961361954717, std values: 4.770772817042425, min values: 2.2726e-06, max values: 38.999, median values: 0.24223, and quantile values: 0.25 0.073385\n0.50 0.242230\n0.75 1.062850\nName: 13266, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4501111798324025, std values: 4.905606495985058, min values: 6.4763e-08, max values: 41.792, median values: 0.21385, and quantile values: 0.25 0.046967\n0.50 0.213850\n0.75 0.854295\nName: 13267, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5334077227710694, std values: 4.739247627193782, min values: 1.307e-06, max values: 38.2, median values: 0.23153, and quantile values: 0.25 0.064434\n0.50 0.231530\n0.75 1.026100\nName: 13268, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8686930540779876, std values: 5.320600693356292, min values: 3.9899e-06, max values: 41.613, median values: 0.34138, and quantile values: 0.25 0.092244\n0.50 0.341380\n0.75 1.325050\nName: 13269, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4241456094327047, std values: 4.9388841604659675, min values: 1.1883e-06, max values: 39.976, median values: 0.18977, and quantile values: 0.25 0.058785\n0.50 0.189770\n0.75 0.815495\nName: 13270, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3677440047670943, std values: 4.767294358681849, min values: 1.7429e-08, max values: 39.974, median values: 0.16751, and quantile values: 0.25 0.036164\n0.50 0.167510\n0.75 0.702460\nName: 13271, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1922022876584903, std values: 4.679071035999356, min values: 1.3481e-06, max values: 38.871, median values: 0.12892, and quantile values: 0.25 0.04337\n0.50 0.12892\n0.75 0.63964\nName: 13272, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3707820669232704, std values: 4.645753161954123, min values: 3.7536e-06, max values: 39.71, median values: 0.18879, and quantile values: 0.25 0.06770\n0.50 0.18879\n0.75 0.77813\nName: 13273, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7500794189050313, std values: 5.11161862514276, min values: 4.9229e-06, max values: 39.601, median values: 0.27767, and quantile values: 0.25 0.087538\n0.50 0.277670\n0.75 1.147150\nName: 13274, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2031449076000629, std values: 4.679508389020879, min values: 2.0755e-07, max values: 37.973, median values: 0.14895, and quantile values: 0.25 0.039094\n0.50 0.148950\n0.75 0.618775\nName: 13275, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4030581054438362, std values: 4.830724520150744, min values: 8.0097e-07, max values: 38.8, median values: 0.21231, and quantile values: 0.25 0.057824\n0.50 0.212310\n0.75 0.797180\nName: 13276, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5798589199078616, std values: 4.905843695760288, min values: 1.3655e-07, max values: 39.927, median values: 0.24743, and quantile values: 0.25 0.057057\n0.50 0.247430\n0.75 1.031050\nName: 13277, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4116109913660377, std values: 4.672250114567533, min values: 1.1149e-06, max values: 38.718, median values: 0.21159, and quantile values: 0.25 0.057147\n0.50 0.211590\n0.75 0.885800\nName: 13278, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3863395817782076, std values: 4.827081398750728, min values: 2.3905e-08, max values: 40.301, median values: 0.16266, and quantile values: 0.25 0.040110\n0.50 0.162660\n0.75 0.714585\nName: 13279, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5156886018113207, std values: 5.01856831011374, min values: 1.8685e-06, max values: 39.76, median values: 0.23402, and quantile values: 0.25 0.057602\n0.50 0.234020\n0.75 0.918565\nName: 13280, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6489349583010062, std values: 5.106467389604082, min values: 1.091e-07, max values: 42.755, median values: 0.21223, and quantile values: 0.25 0.054352\n0.50 0.212230\n0.75 1.072200\nName: 13281, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5106773154222013, std values: 4.923439049263921, min values: 7.4813e-07, max values: 39.108, median values: 0.2254, and quantile values: 0.25 0.063986\n0.50 0.225400\n0.75 0.956920\nName: 13282, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4670977454169811, std values: 4.639658569899844, min values: 7.981e-07, max values: 37.853, median values: 0.21948, and quantile values: 0.25 0.061857\n0.50 0.219480\n0.75 0.897095\nName: 13283, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.744507503344025, std values: 5.045491978430804, min values: 2.0378e-06, max values: 39.016, median values: 0.28491, and quantile values: 0.25 0.083287\n0.50 0.284910\n0.75 1.229950\nName: 13284, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6703715999880504, std values: 4.956188093259502, min values: 5.9826e-06, max values: 40.562, median values: 0.28911, and quantile values: 0.25 0.080978\n0.50 0.289110\n0.75 1.068000\nName: 13285, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5509675001155974, std values: 4.738519429440047, min values: 5.3058e-07, max values: 37.665, median values: 0.24429, and quantile values: 0.25 0.065284\n0.50 0.244290\n0.75 1.050150\nName: 13286, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.290378878016352, std values: 4.418853476307476, min values: 2.2544e-07, max values: 37.165, median values: 0.18196, and quantile values: 0.25 0.050065\n0.50 0.181960\n0.75 0.718305\nName: 13287, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.401109369086975, std values: 4.920470467167156, min values: 6.7529e-08, max values: 41.182, median values: 0.17226, and quantile values: 0.25 0.049188\n0.50 0.172260\n0.75 0.823940\nName: 13288, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4341123549048427, std values: 4.972923107813459, min values: 2.664e-08, max values: 43.233, median values: 0.21296, and quantile values: 0.25 0.045753\n0.50 0.212960\n0.75 0.781700\nName: 13289, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3326507345096228, std values: 4.488246088652351, min values: 0.0, max values: 37.392, median values: 0.20557, and quantile values: 0.25 0.053551\n0.50 0.205570\n0.75 0.809850\nName: 13290, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4429630430471698, std values: 4.785014328009414, min values: 3.4289e-06, max values: 39.962, median values: 0.23508, and quantile values: 0.25 0.066100\n0.50 0.235080\n0.75 0.851695\nName: 13291, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5684151323333333, std values: 5.174650044897422, min values: 5.0563e-06, max values: 41.131, median values: 0.24887, and quantile values: 0.25 0.071543\n0.50 0.248870\n0.75 0.851275\nName: 13292, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6079499429377988, std values: 5.01747902633434, min values: 2.3406e-07, max values: 42.075, median values: 0.25331, and quantile values: 0.25 0.057381\n0.50 0.253310\n0.75 1.064280\nName: 13293, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3978688651476978, std values: 4.632660528014659, min values: 2.6754e-08, max values: 37.008, median values: 0.19387, and quantile values: 0.25 0.048156\n0.50 0.193870\n0.75 0.931600\nName: 13294, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4183024233062893, std values: 4.83417643137428, min values: 1.322e-06, max values: 38.333, median values: 0.19035, and quantile values: 0.25 0.052673\n0.50 0.190350\n0.75 0.835870\nName: 13295, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3680662385138365, std values: 4.606470857998822, min values: 1.1286e-06, max values: 39.009, median values: 0.18585, and quantile values: 0.25 0.057974\n0.50 0.185850\n0.75 0.841575\nName: 13296, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4299940309798742, std values: 4.944400778083462, min values: 2.4729e-06, max values: 40.368, median values: 0.19913, and quantile values: 0.25 0.057545\n0.50 0.199130\n0.75 0.826315\nName: 13297, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3655919308413207, std values: 4.923748790963536, min values: 5.2407e-07, max values: 41.047, median values: 0.1709, and quantile values: 0.25 0.046683\n0.50 0.170900\n0.75 0.773455\nName: 13298, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5461531980169811, std values: 5.08358360395454, min values: 1.0854e-06, max values: 42.346, median values: 0.20272, and quantile values: 0.25 0.066381\n0.50 0.202720\n0.75 0.958365\nName: 13299, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4950072800339622, std values: 4.984791607222064, min values: 3.3369e-06, max values: 40.203, median values: 0.23503, and quantile values: 0.25 0.072289\n0.50 0.235030\n0.75 0.876255\nName: 13300, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3097546473956605, std values: 4.695399255769526, min values: 7.1131e-07, max values: 37.796, median values: 0.17165, and quantile values: 0.25 0.046774\n0.50 0.171650\n0.75 0.687530\nName: 13301, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.427897564276101, std values: 4.769521848513187, min values: 1.538e-06, max values: 38.831, median values: 0.20955, and quantile values: 0.25 0.067325\n0.50 0.209550\n0.75 0.848720\nName: 13302, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3611226747069183, std values: 4.77641237592707, min values: 4.306e-07, max values: 38.431, median values: 0.17687, and quantile values: 0.25 0.046474\n0.50 0.176870\n0.75 0.743825\nName: 13303, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3415502565779875, std values: 4.6949566152058395, min values: 3.2472e-06, max values: 39.439, median values: 0.19786, and quantile values: 0.25 0.058352\n0.50 0.197860\n0.75 0.730420\nName: 13304, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3928808912389938, std values: 4.793362944644779, min values: 1.4359e-06, max values: 38.777, median values: 0.18808, and quantile values: 0.25 0.062736\n0.50 0.188080\n0.75 0.776610\nName: 13305, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4179126581639625, std values: 4.867666343453037, min values: 2.282e-08, max values: 40.677, median values: 0.1832, and quantile values: 0.25 0.043409\n0.50 0.183200\n0.75 0.776195\nName: 13306, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4401347583594968, std values: 4.798621390077031, min values: 2.6756e-07, max values: 38.351, median values: 0.22531, and quantile values: 0.25 0.051848\n0.50 0.225310\n0.75 0.819085\nName: 13307, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4876271504484275, std values: 4.793297161820921, min values: 1.0781e-06, max values: 38.694, median values: 0.1708, and quantile values: 0.25 0.059616\n0.50 0.170800\n0.75 0.853950\nName: 13308, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6534820218138364, std values: 5.2949365824064305, min values: 1.3031e-06, max values: 45.592, median values: 0.26119, and quantile values: 0.25 0.064979\n0.50 0.261190\n0.75 0.981320\nName: 13309, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5737039790484277, std values: 5.101428130092833, min values: 3.5384e-06, max values: 40.579, median values: 0.25187, and quantile values: 0.25 0.074887\n0.50 0.251870\n0.75 0.950740\nName: 13310, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3630404842953459, std values: 4.676016437665572, min values: 3.3196e-07, max values: 38.786, median values: 0.17377, and quantile values: 0.25 0.056853\n0.50 0.173770\n0.75 0.793915\nName: 13311, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6134982897162262, std values: 5.2262409760321775, min values: 1.2708e-07, max values: 45.769, median values: 0.24833, and quantile values: 0.25 0.065281\n0.50 0.248330\n0.75 1.050350\nName: 13312, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4437324923213837, std values: 4.79160320210284, min values: 2.0066e-06, max values: 39.605, median values: 0.2077, and quantile values: 0.25 0.06520\n0.50 0.20770\n0.75 0.89997\nName: 13313, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1940257161781762, std values: 4.738162297639987, min values: 3.6392e-07, max values: 39.837, median values: 0.14064, and quantile values: 0.25 0.040560\n0.50 0.140640\n0.75 0.563515\nName: 13314, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3918107734050316, std values: 4.608076888754077, min values: 1.9228e-06, max values: 38.429, median values: 0.21083, and quantile values: 0.25 0.060009\n0.50 0.210830\n0.75 0.879365\nName: 13315, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.295062500073396, std values: 4.770890407249899, min values: 3.5047e-07, max values: 39.044, median values: 0.14893, and quantile values: 0.25 0.041698\n0.50 0.148930\n0.75 0.673725\nName: 13316, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6144270985811322, std values: 5.237640436355558, min values: 5.1661e-06, max values: 42.344, median values: 0.25963, and quantile values: 0.25 0.075967\n0.50 0.259630\n0.75 0.940200\nName: 13317, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3905982361522016, std values: 4.860172407508593, min values: 1.8228e-06, max values: 38.697, median values: 0.17119, and quantile values: 0.25 0.04796\n0.50 0.17119\n0.75 0.72747\nName: 13318, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4402929184830189, std values: 5.180305265414121, min values: 2.9869e-06, max values: 40.496, median values: 0.16401, and quantile values: 0.25 0.049882\n0.50 0.164010\n0.75 0.567430\nName: 13319, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5019307788433962, std values: 5.049678738768761, min values: 9.15e-07, max values: 42.099, median values: 0.20916, and quantile values: 0.25 0.063621\n0.50 0.209160\n0.75 0.916930\nName: 13320, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.090242143614528, std values: 4.55419005434123, min values: 8.3931e-07, max values: 38.265, median values: 0.11312, and quantile values: 0.25 0.037279\n0.50 0.113120\n0.75 0.480860\nName: 13321, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3079934331669432, std values: 4.595552480920984, min values: 1.3186e-08, max values: 36.573, median values: 0.1473, and quantile values: 0.25 0.034040\n0.50 0.147300\n0.75 0.690535\nName: 13322, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7076646849396226, std values: 5.065423101584317, min values: 2.641e-06, max values: 39.315, median values: 0.32282, and quantile values: 0.25 0.08188\n0.50 0.32282\n0.75 1.20170\nName: 13323, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3775638688456604, std values: 4.793506525606358, min values: 5.8326e-07, max values: 38.454, median values: 0.19038, and quantile values: 0.25 0.054650\n0.50 0.190380\n0.75 0.774995\nName: 13324, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6391228067572328, std values: 5.204947132538863, min values: 1.0949e-06, max values: 44.777, median values: 0.24106, and quantile values: 0.25 0.075243\n0.50 0.241060\n0.75 1.034700\nName: 13325, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3273607389018869, std values: 5.039728619678627, min values: 6.259e-07, max values: 42.106, median values: 0.17204, and quantile values: 0.25 0.049522\n0.50 0.172040\n0.75 0.660230\nName: 13326, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4859555681276728, std values: 4.867729482565799, min values: 6.259e-07, max values: 38.926, median values: 0.21926, and quantile values: 0.25 0.059692\n0.50 0.219260\n0.75 0.946740\nName: 13327, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5781763902163521, std values: 5.1311515510789105, min values: 1.4635e-06, max values: 43.056, median values: 0.23838, and quantile values: 0.25 0.066212\n0.50 0.238380\n0.75 0.995290\nName: 13328, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4046448496581763, std values: 4.842212749389714, min values: 4.6515e-07, max values: 39.697, median values: 0.18229, and quantile values: 0.25 0.05305\n0.50 0.18229\n0.75 0.80190\nName: 13329, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.718749734603774, std values: 5.414413180882333, min values: 1.3784e-06, max values: 47.265, median values: 0.25082, and quantile values: 0.25 0.067392\n0.50 0.250820\n0.75 1.158950\nName: 13330, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5302086421672956, std values: 5.108089393753401, min values: 2.129e-06, max values: 42.785, median values: 0.2359, and quantile values: 0.25 0.065048\n0.50 0.235900\n0.75 0.926065\nName: 13331, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4635014916792453, std values: 4.838139531995101, min values: 1.7375e-06, max values: 39.135, median values: 0.25379, and quantile values: 0.25 0.070707\n0.50 0.253790\n0.75 0.872680\nName: 13332, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.461082125299371, std values: 4.805796529967169, min values: 2.2258e-06, max values: 39.789, median values: 0.21673, and quantile values: 0.25 0.06824\n0.50 0.21673\n0.75 0.87073\nName: 13333, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.554741017855346, std values: 5.131173217782998, min values: 7.598e-07, max values: 43.261, median values: 0.21866, and quantile values: 0.25 0.061230\n0.50 0.218660\n0.75 0.985995\nName: 13334, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4054847577503142, std values: 4.605156416038333, min values: 1.5917e-06, max values: 38.692, median values: 0.21722, and quantile values: 0.25 0.064511\n0.50 0.217220\n0.75 0.883580\nName: 13335, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5095886634549682, std values: 4.795858889760924, min values: 6.8664e-07, max values: 37.735, median values: 0.24461, and quantile values: 0.25 0.064651\n0.50 0.244610\n0.75 0.948925\nName: 13336, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.586829697997484, std values: 4.905032725235893, min values: 1.0642e-06, max values: 39.318, median values: 0.24509, and quantile values: 0.25 0.067881\n0.50 0.245090\n0.75 1.102050\nName: 13337, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.531133446907547, std values: 4.592003309502588, min values: 1.0842e-06, max values: 38.033, median values: 0.23649, and quantile values: 0.25 0.073663\n0.50 0.236490\n0.75 1.051450\nName: 13338, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6105406043672956, std values: 5.123917007599853, min values: 1.9939e-06, max values: 42.383, median values: 0.24995, and quantile values: 0.25 0.070934\n0.50 0.249950\n0.75 1.041150\nName: 13339, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3569528749528301, std values: 4.834395449502508, min values: 2.2368e-06, max values: 39.429, median values: 0.19432, and quantile values: 0.25 0.056593\n0.50 0.194320\n0.75 0.735055\nName: 13340, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5566799459357863, std values: 4.793620112231539, min values: 5.4899e-07, max values: 37.658, median values: 0.24287, and quantile values: 0.25 0.064555\n0.50 0.242870\n0.75 1.057900\nName: 13341, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3749858135698114, std values: 4.808534802153794, min values: 6.259e-07, max values: 38.531, median values: 0.1731, and quantile values: 0.25 0.047908\n0.50 0.173100\n0.75 0.771030\nName: 13342, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5223168166031449, std values: 4.817248575927908, min values: 1.758e-06, max values: 38.773, median values: 0.23945, and quantile values: 0.25 0.064918\n0.50 0.239450\n0.75 1.004055\nName: 13343, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.475722144264151, std values: 4.916957437517436, min values: 1.1312e-06, max values: 39.962, median values: 0.23867, and quantile values: 0.25 0.069734\n0.50 0.238670\n0.75 0.893975\nName: 13344, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.653355628262893, std values: 5.13268436997537, min values: 3.4246e-06, max values: 40.83, median values: 0.29637, and quantile values: 0.25 0.077813\n0.50 0.296370\n0.75 1.120500\nName: 13345, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.278221842096478, std values: 4.68246902156131, min values: 6.4304e-07, max values: 39.017, median values: 0.15012, and quantile values: 0.25 0.048207\n0.50 0.150120\n0.75 0.739715\nName: 13346, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6649683929584904, std values: 5.030538100052133, min values: 3.4842e-06, max values: 40.128, median values: 0.27405, and quantile values: 0.25 0.082349\n0.50 0.274050\n0.75 1.087400\nName: 13347, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4210749780169811, std values: 4.871490492115452, min values: 3.3985e-06, max values: 40.068, median values: 0.21824, and quantile values: 0.25 0.065882\n0.50 0.218240\n0.75 0.777770\nName: 13348, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4601998772320754, std values: 4.86543761023954, min values: 2.6307e-06, max values: 39.245, median values: 0.20154, and quantile values: 0.25 0.065545\n0.50 0.201540\n0.75 0.890555\nName: 13349, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4518104966100631, std values: 4.7712634793681925, min values: 1.5525e-06, max values: 38.456, median values: 0.24356, and quantile values: 0.25 0.066336\n0.50 0.243560\n0.75 0.940845\nName: 13350, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.468080503627044, std values: 5.17779945267022, min values: 2.9141e-06, max values: 43.097, median values: 0.2193, and quantile values: 0.25 0.062996\n0.50 0.219300\n0.75 0.766370\nName: 13351, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3910403865814354, std values: 4.72726891036025, min values: 7.9882e-09, max values: 37.856, median values: 0.16539, and quantile values: 0.25 0.048392\n0.50 0.165390\n0.75 0.758315\nName: 13352, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5188512643289307, std values: 4.946567905795626, min values: 1.4989e-06, max values: 39.289, median values: 0.20524, and quantile values: 0.25 0.061539\n0.50 0.205240\n0.75 0.962950\nName: 13353, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3784405435405662, std values: 4.814781245754419, min values: 9.1935e-07, max values: 38.539, median values: 0.19788, and quantile values: 0.25 0.05154\n0.50 0.19788\n0.75 0.76443\nName: 13354, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7002173512647802, std values: 5.15392995258462, min values: 1.1939e-06, max values: 41.987, median values: 0.26872, and quantile values: 0.25 0.07032\n0.50 0.26872\n0.75 1.14220\nName: 13355, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3811912988755348, std values: 4.735973207744982, min values: 9.8571e-07, max values: 37.863, median values: 0.18676, and quantile values: 0.25 0.054120\n0.50 0.186760\n0.75 0.750755\nName: 13356, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2978284017972956, std values: 4.798968834343454, min values: 9.1497e-07, max values: 39.158, median values: 0.18649, and quantile values: 0.25 0.056281\n0.50 0.186490\n0.75 0.696820\nName: 13357, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.275558263708868, std values: 4.77559276424882, min values: 4.4191e-07, max values: 39.249, median values: 0.16791, and quantile values: 0.25 0.05107\n0.50 0.16791\n0.75 0.65645\nName: 13358, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5177010026805033, std values: 5.107358336339291, min values: 1.0206e-06, max values: 43.404, median values: 0.25726, and quantile values: 0.25 0.064995\n0.50 0.257260\n0.75 0.921550\nName: 13359, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6766963917257862, std values: 5.165578927999097, min values: 2.8578e-06, max values: 42.068, median values: 0.28729, and quantile values: 0.25 0.08039\n0.50 0.28729\n0.75 1.07185\nName: 13360, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7842830196195218, std values: 5.194502125036541, min values: 3.2214e-08, max values: 43.906, median values: 0.28591, and quantile values: 0.25 0.058606\n0.50 0.285910\n0.75 1.233100\nName: 13361, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5675849089163523, std values: 5.041910539191406, min values: 1.6191e-06, max values: 41.154, median values: 0.25436, and quantile values: 0.25 0.066896\n0.50 0.254360\n0.75 0.976865\nName: 13362, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6287153546842013, std values: 4.991370678713277, min values: 1.7414e-08, max values: 41.724, median values: 0.21908, and quantile values: 0.25 0.043290\n0.50 0.219080\n0.75 0.980425\nName: 13363, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7663108749025156, std values: 5.131967557339637, min values: 1.0219e-06, max values: 41.49, median values: 0.34016, and quantile values: 0.25 0.09096\n0.50 0.34016\n0.75 1.25170\nName: 13364, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.659789255099371, std values: 4.848214048853885, min values: 5.7935e-06, max values: 40.595, median values: 0.31129, and quantile values: 0.25 0.091812\n0.50 0.311290\n0.75 1.062600\nName: 13365, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5227229585427673, std values: 5.001855997820659, min values: 1.7863e-06, max values: 39.65, median values: 0.24204, and quantile values: 0.25 0.071806\n0.50 0.242040\n0.75 0.961490\nName: 13366, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6737351056333334, std values: 5.0523752537593865, min values: 3.7274e-06, max values: 39.767, median values: 0.29483, and quantile values: 0.25 0.081538\n0.50 0.294830\n0.75 1.103350\nName: 13367, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.626799259679245, std values: 5.139446513002398, min values: 1.4409e-06, max values: 42.494, median values: 0.28912, and quantile values: 0.25 0.075841\n0.50 0.289120\n0.75 0.950330\nName: 13368, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.61685493729717, std values: 5.326688105305376, min values: 3.6335e-07, max values: 46.913, median values: 0.22466, and quantile values: 0.25 0.060135\n0.50 0.224660\n0.75 1.035710\nName: 13369, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.665414786691824, std values: 5.015217353364408, min values: 2.3584e-06, max values: 40.116, median values: 0.27262, and quantile values: 0.25 0.077865\n0.50 0.272620\n0.75 1.075250\nName: 13370, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5171182920898743, std values: 5.006683713378586, min values: 8.9899e-07, max values: 41.472, median values: 0.2122, and quantile values: 0.25 0.060775\n0.50 0.212200\n0.75 0.974270\nName: 13371, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4065849549415095, std values: 4.946564564561959, min values: 1.3877e-06, max values: 40.413, median values: 0.19298, and quantile values: 0.25 0.058590\n0.50 0.192980\n0.75 0.842075\nName: 13372, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.621930586344019, std values: 5.321504165586751, min values: 2.1599e-08, max values: 47.796, median values: 0.22483, and quantile values: 0.25 0.061437\n0.50 0.224830\n0.75 1.056050\nName: 13373, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.840237552408176, std values: 5.342347327301796, min values: 4.4256e-06, max values: 42.595, median values: 0.34648, and quantile values: 0.25 0.09538\n0.50 0.34648\n0.75 1.29815\nName: 13374, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3397813457253458, std values: 4.916009709084374, min values: 3.9993e-07, max values: 41.748, median values: 0.16118, and quantile values: 0.25 0.045916\n0.50 0.161180\n0.75 0.744350\nName: 13375, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6728898387176099, std values: 5.060916789498001, min values: 2.3388e-06, max values: 39.431, median values: 0.28387, and quantile values: 0.25 0.082898\n0.50 0.283870\n0.75 1.054500\nName: 13376, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.673278120262893, std values: 5.098878423859898, min values: 1.3301e-06, max values: 41.368, median values: 0.29367, and quantile values: 0.25 0.078977\n0.50 0.293670\n0.75 1.164150\nName: 13377, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5697376045417233, std values: 5.073913984118746, min values: 3.1174e-08, max values: 43.377, median values: 0.21792, and quantile values: 0.25 0.052734\n0.50 0.217920\n0.75 1.088600\nName: 13378, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5132889309745283, std values: 4.975636463686843, min values: 7.1395e-07, max values: 40.382, median values: 0.21657, and quantile values: 0.25 0.067587\n0.50 0.216570\n0.75 0.918485\nName: 13379, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.296769371579371, std values: 4.578250014175067, min values: 5.3212e-07, max values: 38.035, median values: 0.16197, and quantile values: 0.25 0.045000\n0.50 0.161970\n0.75 0.731855\nName: 13380, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6912533071113207, std values: 5.053984647845304, min values: 3.4803e-06, max values: 39.709, median values: 0.28034, and quantile values: 0.25 0.083918\n0.50 0.280340\n0.75 1.119550\nName: 13381, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.764288535326415, std values: 5.191197667015477, min values: 1.1178e-06, max values: 42.399, median values: 0.31953, and quantile values: 0.25 0.080341\n0.50 0.319530\n0.75 1.239450\nName: 13382, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8837361207100631, std values: 5.312649228794545, min values: 1.1523e-06, max values: 43.777, median values: 0.37273, and quantile values: 0.25 0.105085\n0.50 0.372730\n0.75 1.290600\nName: 13383, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7449545284496852, std values: 5.164192758270273, min values: 1.5578e-06, max values: 41.736, median values: 0.29656, and quantile values: 0.25 0.073951\n0.50 0.296560\n0.75 1.226750\nName: 13384, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5636922730327045, std values: 5.138907797688368, min values: 5.7658e-06, max values: 40.725, median values: 0.25711, and quantile values: 0.25 0.076026\n0.50 0.257110\n0.75 0.901805\nName: 13385, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.411918637372327, std values: 4.872205103390447, min values: 1.1398e-06, max values: 38.966, median values: 0.21488, and quantile values: 0.25 0.061558\n0.50 0.214880\n0.75 0.793525\nName: 13386, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.383217361084258, std values: 4.74249032118686, min values: 2.1937e-08, max values: 38.053, median values: 0.17419, and quantile values: 0.25 0.047800\n0.50 0.174190\n0.75 0.748455\nName: 13387, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4948170672439622, std values: 4.88572225615909, min values: 9.3359e-07, max values: 38.915, median values: 0.20739, and quantile values: 0.25 0.052803\n0.50 0.207390\n0.75 0.900930\nName: 13388, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5562563051608804, std values: 4.966935919684958, min values: 1.3293e-07, max values: 41.262, median values: 0.24926, and quantile values: 0.25 0.061203\n0.50 0.249260\n0.75 0.957670\nName: 13389, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4142071211433962, std values: 4.99762119926845, min values: 1.9863e-06, max values: 40.262, median values: 0.20244, and quantile values: 0.25 0.057276\n0.50 0.202440\n0.75 0.869715\nName: 13390, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6023571837459119, std values: 4.924093517777321, min values: 1.4758e-06, max values: 38.829, median values: 0.27673, and quantile values: 0.25 0.077951\n0.50 0.276730\n0.75 1.066150\nName: 13391, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7309075076377356, std values: 5.26236623545872, min values: 3.817e-06, max values: 41.321, median values: 0.26714, and quantile values: 0.25 0.084641\n0.50 0.267140\n0.75 1.165250\nName: 13392, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4225518088551572, std values: 5.056160577969905, min values: 8.2647e-07, max values: 43.252, median values: 0.20678, and quantile values: 0.25 0.059118\n0.50 0.206780\n0.75 0.766605\nName: 13393, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6896868924064279, std values: 4.937776149179499, min values: 3.5222e-08, max values: 38.599, median values: 0.28464, and quantile values: 0.25 0.074839\n0.50 0.284640\n0.75 1.249150\nName: 13394, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2489647573162452, std values: 4.661512079950064, min values: 1.8873e-08, max values: 37.396, median values: 0.13789, and quantile values: 0.25 0.037475\n0.50 0.137890\n0.75 0.644050\nName: 13395, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7898298512974842, std values: 5.635710091940915, min values: 3.4634e-06, max values: 48.924, median values: 0.30144, and quantile values: 0.25 0.083298\n0.50 0.301440\n0.75 1.097950\nName: 13396, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.452916606908742, std values: 4.829041391086164, min values: 5.2409e-07, max values: 38.819, median values: 0.19131, and quantile values: 0.25 0.060062\n0.50 0.191310\n0.75 0.853040\nName: 13397, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.53590096714522, std values: 5.163405655151899, min values: 4.7209e-07, max values: 44.7, median values: 0.21022, and quantile values: 0.25 0.053962\n0.50 0.210220\n0.75 0.881045\nName: 13398, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7310394836094338, std values: 5.312441119588207, min values: 3.293e-06, max values: 43.892, median values: 0.26985, and quantile values: 0.25 0.084508\n0.50 0.269850\n0.75 1.101300\nName: 13399, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.641177092828679, std values: 5.229836064055936, min values: 6.0986e-07, max values: 44.552, median values: 0.26209, and quantile values: 0.25 0.063644\n0.50 0.262090\n0.75 1.092650\nName: 13400, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.494954351826415, std values: 4.710722403528642, min values: 3.3786e-06, max values: 39.251, median values: 0.25615, and quantile values: 0.25 0.073136\n0.50 0.256150\n0.75 0.961455\nName: 13401, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3865152157, std values: 4.814842312696939, min values: 1.2017e-06, max values: 38.578, median values: 0.18437, and quantile values: 0.25 0.067057\n0.50 0.184370\n0.75 0.805275\nName: 13402, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3496562601139874, std values: 4.579598415177006, min values: 1.7424e-08, max values: 36.05, median values: 0.17486, and quantile values: 0.25 0.039986\n0.50 0.174860\n0.75 0.730230\nName: 13403, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.500109906126893, std values: 5.167943280466437, min values: 1.8036e-08, max values: 45.341, median values: 0.21266, and quantile values: 0.25 0.053778\n0.50 0.212660\n0.75 0.879605\nName: 13404, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5051596768683648, std values: 4.862510918176296, min values: 7.2677e-07, max values: 38.839, median values: 0.21328, and quantile values: 0.25 0.064841\n0.50 0.213280\n0.75 0.878290\nName: 13405, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3761116757234844, std values: 4.826500769755674, min values: 1.5924e-08, max values: 39.745, median values: 0.16925, and quantile values: 0.25 0.046127\n0.50 0.169250\n0.75 0.720320\nName: 13406, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4002312020226415, std values: 4.830885540683409, min values: 3.4646e-06, max values: 39.788, median values: 0.21528, and quantile values: 0.25 0.065683\n0.50 0.215280\n0.75 0.788475\nName: 13407, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4450203118616352, std values: 4.8363905029679275, min values: 2.6662e-06, max values: 39.512, median values: 0.21923, and quantile values: 0.25 0.064312\n0.50 0.219230\n0.75 0.821010\nName: 13408, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3872003741704402, std values: 4.802427541253501, min values: 1.479e-06, max values: 38.102, median values: 0.20614, and quantile values: 0.25 0.065984\n0.50 0.206140\n0.75 0.803900\nName: 13409, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6040920575452828, std values: 4.952772523969448, min values: 4.5376e-06, max values: 39.911, median values: 0.2806, and quantile values: 0.25 0.087063\n0.50 0.280600\n0.75 0.972860\nName: 13410, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4450469358511322, std values: 4.827962124236887, min values: 4.9703e-07, max values: 38.944, median values: 0.25767, and quantile values: 0.25 0.057669\n0.50 0.257670\n0.75 0.887535\nName: 13411, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4295951587849058, std values: 4.8175225570462334, min values: 1.5294e-06, max values: 38.241, median values: 0.23244, and quantile values: 0.25 0.065455\n0.50 0.232440\n0.75 0.853850\nName: 13412, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.540548010280566, std values: 5.064811300902074, min values: 2.3541e-07, max values: 42.769, median values: 0.24055, and quantile values: 0.25 0.063526\n0.50 0.240550\n0.75 0.913760\nName: 13413, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4783765610050315, std values: 5.069387018297571, min values: 1.1276e-06, max values: 42.838, median values: 0.22084, and quantile values: 0.25 0.068022\n0.50 0.220840\n0.75 0.782605\nName: 13414, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3454507960820126, std values: 4.724083808028037, min values: 5.1754e-07, max values: 37.88, median values: 0.18038, and quantile values: 0.25 0.052059\n0.50 0.180380\n0.75 0.748255\nName: 13415, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4588283943762894, std values: 4.802234313460816, min values: 1.648e-07, max values: 38.981, median values: 0.195, and quantile values: 0.25 0.048834\n0.50 0.195000\n0.75 0.820875\nName: 13416, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4634022030685536, std values: 5.016728902001523, min values: 1.9135e-06, max values: 41.205, median values: 0.22188, and quantile values: 0.25 0.070319\n0.50 0.221880\n0.75 0.875635\nName: 13417, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2414884642892452, std values: 4.540425588090382, min values: 6.2869e-07, max values: 38.171, median values: 0.17912, and quantile values: 0.25 0.054272\n0.50 0.179120\n0.75 0.634765\nName: 13418, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3960004655099372, std values: 4.765809895284421, min values: 3.9678e-07, max values: 38.383, median values: 0.19337, and quantile values: 0.25 0.059150\n0.50 0.193370\n0.75 0.771325\nName: 13419, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3139815442408807, std values: 4.742243016191016, min values: 1.7211e-06, max values: 40.078, median values: 0.17563, and quantile values: 0.25 0.049326\n0.50 0.175630\n0.75 0.792540\nName: 13420, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2466519049232705, std values: 4.8337861519872005, min values: 1.005e-06, max values: 39.581, median values: 0.16643, and quantile values: 0.25 0.048515\n0.50 0.166430\n0.75 0.597520\nName: 13421, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4763368498412581, std values: 4.807352593025727, min values: 6.4976e-07, max values: 38.247, median values: 0.21562, and quantile values: 0.25 0.060472\n0.50 0.215620\n0.75 0.869670\nName: 13422, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5152759441373584, std values: 5.023759138205273, min values: 4.6824e-07, max values: 41.613, median values: 0.22291, and quantile values: 0.25 0.063363\n0.50 0.222910\n0.75 0.894080\nName: 13423, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.609725733687107, std values: 5.001466332519718, min values: 2.5975e-07, max values: 40.469, median values: 0.2828, and quantile values: 0.25 0.067639\n0.50 0.282800\n0.75 1.088150\nName: 13424, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4383654198286162, std values: 4.85413416709761, min values: 2.1575e-07, max values: 39.395, median values: 0.19387, and quantile values: 0.25 0.055372\n0.50 0.193870\n0.75 0.813560\nName: 13425, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3944896999075471, std values: 4.953111230326236, min values: 2.2671e-06, max values: 39.972, median values: 0.20364, and quantile values: 0.25 0.060568\n0.50 0.203640\n0.75 0.745995\nName: 13426, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5179718328333336, std values: 4.847979255707043, min values: 1.7791e-06, max values: 38.902, median values: 0.29212, and quantile values: 0.25 0.077251\n0.50 0.292120\n0.75 0.980415\nName: 13427, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2871617916198113, std values: 4.634414575301591, min values: 5.8955e-07, max values: 37.202, median values: 0.18186, and quantile values: 0.25 0.047847\n0.50 0.181860\n0.75 0.683100\nName: 13428, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4394591353960378, std values: 4.9921041609948675, min values: 4.8937e-07, max values: 42.02, median values: 0.21676, and quantile values: 0.25 0.059557\n0.50 0.216760\n0.75 0.821850\nName: 13429, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1939834576327042, std values: 4.749346921961819, min values: 1.3539e-06, max values: 39.157, median values: 0.14141, and quantile values: 0.25 0.044504\n0.50 0.141410\n0.75 0.601985\nName: 13430, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6342933311635217, std values: 5.1464096972280675, min values: 3.5005e-06, max values: 41.689, median values: 0.25623, and quantile values: 0.25 0.087580\n0.50 0.256230\n0.75 0.977485\nName: 13431, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6452173164396227, std values: 4.992223983889455, min values: 2.9459e-06, max values: 39.699, median values: 0.26933, and quantile values: 0.25 0.073409\n0.50 0.269330\n0.75 1.137700\nName: 13432, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3484236410797483, std values: 4.779706106689554, min values: 4.2118e-07, max values: 39.176, median values: 0.17362, and quantile values: 0.25 0.050695\n0.50 0.173620\n0.75 0.762405\nName: 13433, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3806213859225784, std values: 4.633843366973182, min values: 6.6129e-07, max values: 38.422, median values: 0.20175, and quantile values: 0.25 0.056762\n0.50 0.201750\n0.75 0.814155\nName: 13434, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5793236488264153, std values: 5.060743102878825, min values: 3.2791e-06, max values: 40.095, median values: 0.22756, and quantile values: 0.25 0.074003\n0.50 0.227560\n0.75 0.986095\nName: 13435, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4187961598559624, std values: 4.965637692616209, min values: 1.7198e-08, max values: 42.257, median values: 0.19141, and quantile values: 0.25 0.048563\n0.50 0.191410\n0.75 0.858615\nName: 13436, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2909361711207545, std values: 5.040549548225919, min values: 1.3625e-06, max values: 42.522, median values: 0.14668, and quantile values: 0.25 0.041719\n0.50 0.146680\n0.75 0.593845\nName: 13437, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4817307392860375, std values: 5.062236920205085, min values: 9.6908e-07, max values: 42.817, median values: 0.25014, and quantile values: 0.25 0.065899\n0.50 0.250140\n0.75 0.823910\nName: 13438, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4304687131685534, std values: 4.714618555893542, min values: 1.935e-06, max values: 39.132, median values: 0.2266, and quantile values: 0.25 0.068870\n0.50 0.226600\n0.75 0.859245\nName: 13439, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3711110137586793, std values: 4.77727173826821, min values: 4.3043e-07, max values: 39.25, median values: 0.20873, and quantile values: 0.25 0.053946\n0.50 0.208730\n0.75 0.790960\nName: 13440, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.634581709705088, std values: 4.871498752088721, min values: 4.1659e-08, max values: 38.372, median values: 0.24852, and quantile values: 0.25 0.060103\n0.50 0.248520\n0.75 1.190700\nName: 13441, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3771816079427672, std values: 4.858519546050437, min values: 1.317e-06, max values: 39.848, median values: 0.20483, and quantile values: 0.25 0.055025\n0.50 0.204830\n0.75 0.802580\nName: 13442, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.545416998718931, std values: 4.684098781091488, min values: 8.4851e-07, max values: 37.748, median values: 0.24368, and quantile values: 0.25 0.065226\n0.50 0.243680\n0.75 1.047250\nName: 13443, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4752534846981131, std values: 5.061855353001598, min values: 4.7512e-06, max values: 42.009, median values: 0.22746, and quantile values: 0.25 0.053287\n0.50 0.227460\n0.75 0.795710\nName: 13444, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3882159044672957, std values: 4.713131931553262, min values: 1.1958e-06, max values: 38.506, median values: 0.22643, and quantile values: 0.25 0.059458\n0.50 0.226430\n0.75 0.816840\nName: 13445, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5575762140314464, std values: 4.981605993858927, min values: 1.6841e-06, max values: 40.047, median values: 0.26298, and quantile values: 0.25 0.075037\n0.50 0.262980\n0.75 0.975785\nName: 13446, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6952171050687421, std values: 5.173073612453529, min values: 4.0943e-07, max values: 43.86, median values: 0.24501, and quantile values: 0.25 0.058125\n0.50 0.245010\n0.75 1.079450\nName: 13447, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3525950480603772, std values: 5.105285523238649, min values: 1.4652e-06, max values: 43.585, median values: 0.17335, and quantile values: 0.25 0.057537\n0.50 0.173350\n0.75 0.702740\nName: 13448, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6649464393103777, std values: 5.142578263611877, min values: 8.0995e-07, max values: 43.395, median values: 0.30418, and quantile values: 0.25 0.079704\n0.50 0.304180\n0.75 1.089500\nName: 13449, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7784729794119498, std values: 5.21960805859121, min values: 4.5778e-06, max values: 40.764, median values: 0.33185, and quantile values: 0.25 0.087873\n0.50 0.331850\n0.75 1.191500\nName: 13450, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4780907586150942, std values: 5.0675630975952695, min values: 1.1016e-06, max values: 41.854, median values: 0.21157, and quantile values: 0.25 0.057382\n0.50 0.211570\n0.75 0.928985\nName: 13451, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3547769716887044, std values: 4.802043888760013, min values: 1.9324e-08, max values: 39.661, median values: 0.17653, and quantile values: 0.25 0.04939\n0.50 0.17653\n0.75 0.74221\nName: 13452, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3164516963438992, std values: 4.695197844251225, min values: 8.1188e-07, max values: 37.94, median values: 0.18453, and quantile values: 0.25 0.051317\n0.50 0.184530\n0.75 0.702695\nName: 13453, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.65243182683522, std values: 4.94995332423026, min values: 2.3257e-06, max values: 39.559, median values: 0.28116, and quantile values: 0.25 0.079485\n0.50 0.281160\n0.75 1.166250\nName: 13454, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.514750220646541, std values: 4.67826383685415, min values: 2.8073e-06, max values: 39.095, median values: 0.25405, and quantile values: 0.25 0.069919\n0.50 0.254050\n0.75 1.015800\nName: 13455, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6606812424660378, std values: 5.182623605677415, min values: 4.7823e-06, max values: 40.841, median values: 0.28478, and quantile values: 0.25 0.084451\n0.50 0.284780\n0.75 1.033200\nName: 13456, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3011467210603773, std values: 4.610306025400446, min values: 1.1463e-06, max values: 38.477, median values: 0.17287, and quantile values: 0.25 0.056219\n0.50 0.172870\n0.75 0.721745\nName: 13457, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4894124775069184, std values: 5.030755164231364, min values: 1.2116e-06, max values: 41.377, median values: 0.21088, and quantile values: 0.25 0.064508\n0.50 0.210880\n0.75 0.923155\nName: 13458, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7890894556622643, std values: 5.340608468748186, min values: 4.566e-06, max values: 42.78, median values: 0.31672, and quantile values: 0.25 0.084338\n0.50 0.316720\n0.75 1.108100\nName: 13459, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4443611777011949, std values: 4.809117379495992, min values: 5.2429e-07, max values: 38.609, median values: 0.21536, and quantile values: 0.25 0.065087\n0.50 0.215360\n0.75 0.900220\nName: 13460, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4447660138377358, std values: 4.826337836173263, min values: 1.8541e-06, max values: 38.238, median values: 0.22107, and quantile values: 0.25 0.063234\n0.50 0.221070\n0.75 0.800820\nName: 13461, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.437151672391195, std values: 4.907326128997647, min values: 1.5276e-06, max values: 39.752, median values: 0.21816, and quantile values: 0.25 0.062465\n0.50 0.218160\n0.75 0.887910\nName: 13462, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.58218827068239, std values: 4.872257177177069, min values: 2.0428e-06, max values: 38.635, median values: 0.26498, and quantile values: 0.25 0.075125\n0.50 0.264980\n0.75 1.040550\nName: 13463, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4356235522081764, std values: 4.654983028045223, min values: 2.0131e-06, max values: 38.914, median values: 0.25262, and quantile values: 0.25 0.065190\n0.50 0.252620\n0.75 0.849335\nName: 13464, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4526374428739877, std values: 4.615145943623287, min values: 5.0954e-08, max values: 35.98, median values: 0.20036, and quantile values: 0.25 0.053014\n0.50 0.200360\n0.75 0.877885\nName: 13465, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.331147787079937, std values: 4.72392529789269, min values: 3.6792e-07, max values: 38.69, median values: 0.12681, and quantile values: 0.25 0.033518\n0.50 0.126810\n0.75 0.673285\nName: 13466, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5855052801430818, std values: 4.697884391344306, min values: 2.0655e-07, max values: 38.065, median values: 0.25466, and quantile values: 0.25 0.064139\n0.50 0.254660\n0.75 1.120600\nName: 13467, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4207961523118868, std values: 4.791951167811804, min values: 6.4479e-07, max values: 38.734, median values: 0.21196, and quantile values: 0.25 0.056205\n0.50 0.211960\n0.75 0.831690\nName: 13468, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5907901584320754, std values: 5.245865966794958, min values: 6.0824e-06, max values: 42.022, median values: 0.22684, and quantile values: 0.25 0.060128\n0.50 0.226840\n0.75 0.867355\nName: 13469, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2691065390418241, std values: 4.679144540743363, min values: 1.3258e-07, max values: 38.319, median values: 0.15463, and quantile values: 0.25 0.038119\n0.50 0.154630\n0.75 0.631915\nName: 13470, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.583657062111824, std values: 5.0226133903227135, min values: 3.8158e-07, max values: 41.994, median values: 0.23799, and quantile values: 0.25 0.064397\n0.50 0.237990\n0.75 0.991460\nName: 13471, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.568219397537107, std values: 5.144166252336816, min values: 3.7092e-06, max values: 42.1, median values: 0.25776, and quantile values: 0.25 0.067494\n0.50 0.257760\n0.75 0.938510\nName: 13472, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3648063477271695, std values: 5.182254198625776, min values: 8.2772e-07, max values: 46.031, median values: 0.16413, and quantile values: 0.25 0.055314\n0.50 0.164130\n0.75 0.714330\nName: 13473, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4110539821345913, std values: 4.9179128420820595, min values: 1.6783e-06, max values: 39.466, median values: 0.21123, and quantile values: 0.25 0.061306\n0.50 0.211230\n0.75 0.824920\nName: 13474, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3524977169283963, std values: 5.134286976090938, min values: 3.1605e-08, max values: 46.372, median values: 0.16068, and quantile values: 0.25 0.036043\n0.50 0.160680\n0.75 0.713810\nName: 13475, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2534715171421384, std values: 4.780730590645157, min values: 1.3013e-06, max values: 39.239, median values: 0.16121, and quantile values: 0.25 0.050452\n0.50 0.161210\n0.75 0.636305\nName: 13476, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.437900518377906, std values: 4.7312017346348645, min values: 1.4587e-08, max values: 37.603, median values: 0.20457, and quantile values: 0.25 0.051515\n0.50 0.204570\n0.75 0.936015\nName: 13477, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2918132177238364, std values: 4.623820156570532, min values: 1.0636e-07, max values: 36.772, median values: 0.15224, and quantile values: 0.25 0.041111\n0.50 0.152240\n0.75 0.695890\nName: 13478, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3900439465208176, std values: 4.622750516229625, min values: 2.9624e-07, max values: 36.58, median values: 0.17453, and quantile values: 0.25 0.049722\n0.50 0.174530\n0.75 0.811170\nName: 13479, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4103841844100629, std values: 4.874367426324536, min values: 3.4026e-06, max values: 40.222, median values: 0.20564, and quantile values: 0.25 0.062025\n0.50 0.205640\n0.75 0.765835\nName: 13480, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5084707671000002, std values: 4.894537911812778, min values: 1.8463e-06, max values: 38.896, median values: 0.25463, and quantile values: 0.25 0.073755\n0.50 0.254630\n0.75 0.936455\nName: 13481, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.618668608784277, std values: 5.184328366095556, min values: 1.6845e-06, max values: 43.72, median values: 0.2859, and quantile values: 0.25 0.078185\n0.50 0.285900\n0.75 1.017255\nName: 13482, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6901635024328934, std values: 5.293369961726983, min values: 3.5243e-07, max values: 46.275, median values: 0.28197, and quantile values: 0.25 0.060538\n0.50 0.281970\n0.75 1.096850\nName: 13483, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.443627694489937, std values: 4.745199341543356, min values: 1.9589e-06, max values: 39.909, median values: 0.21283, and quantile values: 0.25 0.059674\n0.50 0.212830\n0.75 0.871680\nName: 13484, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4621357406062894, std values: 4.681756953803909, min values: 1.1193e-06, max values: 38.66, median values: 0.2244, and quantile values: 0.25 0.063832\n0.50 0.224400\n0.75 0.931645\nName: 13485, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4927418450040693, std values: 4.9712300560113585, min values: 2.2877e-08, max values: 41.657, median values: 0.18094, and quantile values: 0.25 0.051021\n0.50 0.180940\n0.75 0.893925\nName: 13486, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.383210238418239, std values: 4.839703129909093, min values: 1.1785e-06, max values: 39.055, median values: 0.19981, and quantile values: 0.25 0.056129\n0.50 0.199810\n0.75 0.815630\nName: 13487, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8004587775686165, std values: 5.169887015188271, min values: 8.0061e-07, max values: 41.699, median values: 0.34033, and quantile values: 0.25 0.086199\n0.50 0.340330\n0.75 1.232550\nName: 13488, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3953241972, std values: 4.860221424640524, min values: 1.4564e-06, max values: 38.966, median values: 0.20476, and quantile values: 0.25 0.057308\n0.50 0.204760\n0.75 0.825230\nName: 13489, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1961164393468615, std values: 4.442855042639802, min values: 2.3551e-08, max values: 36.098, median values: 0.13729, and quantile values: 0.25 0.036260\n0.50 0.137290\n0.75 0.641945\nName: 13490, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6130537931840252, std values: 4.959103915801835, min values: 4.3476e-07, max values: 39.8, median values: 0.263, and quantile values: 0.25 0.07213\n0.50 0.26300\n0.75 1.09090\nName: 13491, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.611445276664151, std values: 5.114791311230252, min values: 2.5972e-06, max values: 41.338, median values: 0.27155, and quantile values: 0.25 0.073071\n0.50 0.271550\n0.75 1.004830\nName: 13492, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4141594162849056, std values: 4.884203465014419, min values: 1.9787e-06, max values: 39.073, median values: 0.20775, and quantile values: 0.25 0.058837\n0.50 0.207750\n0.75 0.812070\nName: 13493, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5061943488733962, std values: 4.902342421958261, min values: 3.7197e-07, max values: 39.987, median values: 0.22334, and quantile values: 0.25 0.059245\n0.50 0.223340\n0.75 0.951570\nName: 13494, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.488552883781132, std values: 4.966592013179988, min values: 1.159e-06, max values: 41.029, median values: 0.24227, and quantile values: 0.25 0.066067\n0.50 0.242270\n0.75 0.887465\nName: 13495, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5146711149238365, std values: 5.083575077869601, min values: 7.6269e-07, max values: 43.109, median values: 0.21802, and quantile values: 0.25 0.064959\n0.50 0.218020\n0.75 0.880675\nName: 13496, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.407863369620755, std values: 4.9283470465212655, min values: 1.9863e-06, max values: 40.164, median values: 0.22188, and quantile values: 0.25 0.053846\n0.50 0.221880\n0.75 0.881595\nName: 13497, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.727985023909434, std values: 5.147111352043313, min values: 1.5119e-06, max values: 41.991, median values: 0.31728, and quantile values: 0.25 0.084253\n0.50 0.317280\n0.75 1.161400\nName: 13498, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.297520787936855, std values: 4.717033267373923, min values: 4.8226e-07, max values: 38.112, median values: 0.17018, and quantile values: 0.25 0.047154\n0.50 0.170180\n0.75 0.659670\nName: 13499, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4836906647349686, std values: 4.851171874788935, min values: 3.3926e-07, max values: 39.538, median values: 0.25701, and quantile values: 0.25 0.057121\n0.50 0.257010\n0.75 0.930670\nName: 13500, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.355882643918868, std values: 4.90428540623911, min values: 1.6249e-06, max values: 39.637, median values: 0.17811, and quantile values: 0.25 0.050306\n0.50 0.178110\n0.75 0.746510\nName: 13501, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6575740237798744, std values: 5.245731802149696, min values: 5.1399e-06, max values: 41.688, median values: 0.27474, and quantile values: 0.25 0.078827\n0.50 0.274740\n0.75 1.003110\nName: 13502, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6147256895610063, std values: 5.1695223850170375, min values: 7.8012e-06, max values: 41.4, median values: 0.23991, and quantile values: 0.25 0.074078\n0.50 0.239910\n0.75 0.907955\nName: 13503, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7172706411245284, std values: 5.05549723852144, min values: 4.3848e-06, max values: 40.415, median values: 0.27897, and quantile values: 0.25 0.085011\n0.50 0.278970\n0.75 1.111600\nName: 13504, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3026653100345913, std values: 4.883298570260449, min values: 1.5725e-06, max values: 39.954, median values: 0.18972, and quantile values: 0.25 0.054268\n0.50 0.189720\n0.75 0.707230\nName: 13505, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3045010041817608, std values: 4.585287007838805, min values: 8.659e-07, max values: 38.062, median values: 0.18665, and quantile values: 0.25 0.054062\n0.50 0.186650\n0.75 0.748040\nName: 13506, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4895414083971699, std values: 4.810906158645378, min values: 2.774e-08, max values: 39.19, median values: 0.25466, and quantile values: 0.25 0.048115\n0.50 0.254660\n0.75 1.034470\nName: 13507, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2529572796167294, std values: 4.890981942821768, min values: 8.0046e-07, max values: 40.656, median values: 0.14281, and quantile values: 0.25 0.045581\n0.50 0.142810\n0.75 0.640995\nName: 13508, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1865369100897043, std values: 4.565139657346671, min values: 5.7402e-08, max values: 37.273, median values: 0.11705, and quantile values: 0.25 0.028037\n0.50 0.117050\n0.75 0.544190\nName: 13509, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6734065963591194, std values: 5.065348676291626, min values: 1.8171e-06, max values: 39.536, median values: 0.27671, and quantile values: 0.25 0.071629\n0.50 0.276710\n0.75 1.089635\nName: 13510, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5706921730968553, std values: 5.013072372994424, min values: 2.5966e-06, max values: 39.796, median values: 0.26393, and quantile values: 0.25 0.071178\n0.50 0.263930\n0.75 0.974645\nName: 13511, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4110493767163523, std values: 4.769192394560516, min values: 1.0816e-06, max values: 38.149, median values: 0.19911, and quantile values: 0.25 0.05736\n0.50 0.19911\n0.75 0.79643\nName: 13512, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.272175588655975, std values: 4.640235197490409, min values: 5.812e-07, max values: 36.975, median values: 0.15022, and quantile values: 0.25 0.045213\n0.50 0.150220\n0.75 0.670435\nName: 13513, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.325540217393711, std values: 4.832008076642109, min values: 1.1395e-06, max values: 39.746, median values: 0.18496, and quantile values: 0.25 0.050135\n0.50 0.184960\n0.75 0.724920\nName: 13514, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2440815476779246, std values: 4.689696611415917, min values: 4.8899e-07, max values: 38.263, median values: 0.17054, and quantile values: 0.25 0.045749\n0.50 0.170540\n0.75 0.659300\nName: 13515, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3450362516150944, std values: 5.074314952102332, min values: 1.849e-06, max values: 42.856, median values: 0.18426, and quantile values: 0.25 0.045816\n0.50 0.184260\n0.75 0.763820\nName: 13516, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.536843306233585, std values: 5.041533551292256, min values: 5.7514e-07, max values: 42.461, median values: 0.24615, and quantile values: 0.25 0.060847\n0.50 0.246150\n0.75 0.957755\nName: 13517, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5650673560081763, std values: 5.024221493987731, min values: 2.7108e-06, max values: 39.929, median values: 0.22467, and quantile values: 0.25 0.072152\n0.50 0.224670\n0.75 0.973140\nName: 13518, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2865458180271698, std values: 4.453647223518288, min values: 8.5432e-07, max values: 37.899, median values: 0.16817, and quantile values: 0.25 0.052103\n0.50 0.168170\n0.75 0.757785\nName: 13519, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3483539623509433, std values: 4.989786199385484, min values: 1.6553e-06, max values: 41.254, median values: 0.18571, and quantile values: 0.25 0.057089\n0.50 0.185710\n0.75 0.705365\nName: 13520, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8421930702339622, std values: 5.486485447454704, min values: 4.1595e-06, max values: 45.407, median values: 0.32616, and quantile values: 0.25 0.097459\n0.50 0.326160\n0.75 1.193750\nName: 13521, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4266284711339623, std values: 5.018144867513944, min values: 3.7801e-06, max values: 40.329, median values: 0.20425, and quantile values: 0.25 0.061984\n0.50 0.204250\n0.75 0.762070\nName: 13522, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3423105778641509, std values: 4.66475890049399, min values: 2.0869e-06, max values: 39.537, median values: 0.18698, and quantile values: 0.25 0.062869\n0.50 0.186980\n0.75 0.750280\nName: 13523, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4734123601299374, std values: 4.987930091809112, min values: 2.2936e-07, max values: 41.893, median values: 0.19472, and quantile values: 0.25 0.05077\n0.50 0.19472\n0.75 0.90601\nName: 13524, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.614465275054088, std values: 5.084409620526168, min values: 3.3891e-06, max values: 40.339, median values: 0.26473, and quantile values: 0.25 0.080176\n0.50 0.264730\n0.75 0.975385\nName: 13525, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.322445501361258, std values: 4.703895823516364, min values: 3.4548e-07, max values: 37.912, median values: 0.16451, and quantile values: 0.25 0.037580\n0.50 0.164510\n0.75 0.687605\nName: 13526, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5545328392320754, std values: 5.359580122218949, min values: 1.2885e-06, max values: 47.345, median values: 0.20259, and quantile values: 0.25 0.057149\n0.50 0.202590\n0.75 0.940340\nName: 13527, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6965600441446542, std values: 4.9388060104338996, min values: 1.0668e-06, max values: 38.637, median values: 0.28305, and quantile values: 0.25 0.073199\n0.50 0.283050\n0.75 1.167050\nName: 13528, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5753307864389938, std values: 4.937681157957095, min values: 3.2712e-06, max values: 38.975, median values: 0.25027, and quantile values: 0.25 0.075904\n0.50 0.250270\n0.75 1.053750\nName: 13529, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5673520176016982, std values: 5.103071574963067, min values: 4.0697e-07, max values: 43.254, median values: 0.22482, and quantile values: 0.25 0.058893\n0.50 0.224820\n0.75 0.938340\nName: 13530, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5146151101867924, std values: 4.917834155140389, min values: 1.431e-06, max values: 39.391, median values: 0.24814, and quantile values: 0.25 0.065488\n0.50 0.248140\n0.75 0.894630\nName: 13531, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7459753395182394, std values: 4.853178025375177, min values: 2.9239e-06, max values: 38.944, median values: 0.33934, and quantile values: 0.25 0.088047\n0.50 0.339340\n0.75 1.241850\nName: 13532, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4710261716044024, std values: 4.993144724475391, min values: 1.3994e-06, max values: 40.529, median values: 0.19613, and quantile values: 0.25 0.063324\n0.50 0.196130\n0.75 0.885895\nName: 13533, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4611632546817612, std values: 4.915469550826263, min values: 2.3153e-06, max values: 39.946, median values: 0.22132, and quantile values: 0.25 0.066416\n0.50 0.221320\n0.75 0.845480\nName: 13534, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6008824026740252, std values: 4.9136824830788415, min values: 4.5977e-07, max values: 38.701, median values: 0.25292, and quantile values: 0.25 0.072217\n0.50 0.252920\n0.75 1.035865\nName: 13535, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7180139477320755, std values: 5.069230336734993, min values: 7.2884e-06, max values: 40.689, median values: 0.30372, and quantile values: 0.25 0.077899\n0.50 0.303720\n0.75 1.057150\nName: 13536, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4228826500419496, std values: 4.863951434478319, min values: 9.9077e-07, max values: 39.72, median values: 0.21501, and quantile values: 0.25 0.061245\n0.50 0.215010\n0.75 0.813480\nName: 13537, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3343543704577987, std values: 4.754999483273465, min values: 4.2619e-07, max values: 38.048, median values: 0.18067, and quantile values: 0.25 0.053753\n0.50 0.180670\n0.75 0.769125\nName: 13538, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5041913727344651, std values: 4.948214376820789, min values: 9.2098e-07, max values: 40.971, median values: 0.25939, and quantile values: 0.25 0.072806\n0.50 0.259390\n0.75 0.928380\nName: 13539, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4998606808974844, std values: 4.99693185545825, min values: 3.0155e-06, max values: 39.827, median values: 0.23408, and quantile values: 0.25 0.066218\n0.50 0.234080\n0.75 0.879455\nName: 13540, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3491644415420754, std values: 4.848815874130081, min values: 8.5989e-07, max values: 39.249, median values: 0.21364, and quantile values: 0.25 0.051096\n0.50 0.213640\n0.75 0.698080\nName: 13541, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6897718039943395, std values: 5.153944275910744, min values: 3.8541e-06, max values: 40.323, median values: 0.28019, and quantile values: 0.25 0.08308\n0.50 0.28019\n0.75 1.06715\nName: 13542, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8043064217905662, std values: 5.134019122869409, min values: 4.4194e-06, max values: 39.936, median values: 0.3084, and quantile values: 0.25 0.080334\n0.50 0.308400\n0.75 1.252300\nName: 13543, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3724243666366036, std values: 4.648371935551012, min values: 1.8092e-07, max values: 37.679, median values: 0.19581, and quantile values: 0.25 0.050231\n0.50 0.195810\n0.75 0.781985\nName: 13544, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6826905514471695, std values: 5.230977619023641, min values: 6.2431e-06, max values: 41.18, median values: 0.27759, and quantile values: 0.25 0.08744\n0.50 0.27759\n0.75 1.00910\nName: 13545, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.335498536766327, std values: 4.747030767833413, min values: 1.5626e-08, max values: 39.04, median values: 0.17006, and quantile values: 0.25 0.037468\n0.50 0.170060\n0.75 0.649995\nName: 13546, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4158083483120754, std values: 4.657951012360215, min values: 7.0492e-07, max values: 37.821, median values: 0.20699, and quantile values: 0.25 0.058024\n0.50 0.206990\n0.75 0.897705\nName: 13547, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3712746362072328, std values: 4.6972659287420395, min values: 9.3085e-07, max values: 38.293, median values: 0.19984, and quantile values: 0.25 0.055181\n0.50 0.199840\n0.75 0.795835\nName: 13548, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.546547213916352, std values: 5.0113485569660146, min values: 4.1954e-06, max values: 39.477, median values: 0.24803, and quantile values: 0.25 0.073311\n0.50 0.248030\n0.75 0.882710\nName: 13549, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3174920750192451, std values: 4.8297891186791535, min values: 9.8476e-07, max values: 39.373, median values: 0.18896, and quantile values: 0.25 0.052104\n0.50 0.188960\n0.75 0.718000\nName: 13550, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4466971220685536, std values: 4.73894652615565, min values: 2.387e-06, max values: 37.926, median values: 0.17261, and quantile values: 0.25 0.057693\n0.50 0.172610\n0.75 0.832285\nName: 13551, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.430639113238994, std values: 4.546984445400197, min values: 2.6612e-06, max values: 39.312, median values: 0.21704, and quantile values: 0.25 0.069215\n0.50 0.217040\n0.75 0.925445\nName: 13552, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4976254220836478, std values: 5.430530917442392, min values: 1.7021e-06, max values: 49.098, median values: 0.19194, and quantile values: 0.25 0.05830\n0.50 0.19194\n0.75 0.81118\nName: 13553, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.600475651355346, std values: 5.095357943597066, min values: 2.5609e-06, max values: 40.248, median values: 0.26119, and quantile values: 0.25 0.069749\n0.50 0.261190\n0.75 1.037700\nName: 13554, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4043349071121445, std values: 4.858552982710318, min values: 2.1731e-08, max values: 40.02, median values: 0.18927, and quantile values: 0.25 0.052561\n0.50 0.189270\n0.75 0.844725\nName: 13555, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.546308964132327, std values: 4.846135561087534, min values: 1.1854e-07, max values: 38.951, median values: 0.24726, and quantile values: 0.25 0.066879\n0.50 0.247260\n0.75 1.032350\nName: 13556, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.579093165498113, std values: 4.8962715296875325, min values: 3.7559e-06, max values: 40.389, median values: 0.25914, and quantile values: 0.25 0.078119\n0.50 0.259140\n0.75 0.974725\nName: 13557, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4878448574949685, std values: 5.016458060005453, min values: 3.1837e-06, max values: 40.398, median values: 0.20746, and quantile values: 0.25 0.066580\n0.50 0.207460\n0.75 0.842215\nName: 13558, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4533113572842766, std values: 4.931063194051355, min values: 2.8748e-07, max values: 41.613, median values: 0.19125, and quantile values: 0.25 0.048884\n0.50 0.191250\n0.75 0.747435\nName: 13559, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4321209560672956, std values: 4.990387028738122, min values: 4.193e-06, max values: 41.46, median values: 0.1994, and quantile values: 0.25 0.067388\n0.50 0.199400\n0.75 0.737160\nName: 13560, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7050045389974842, std values: 5.127503803892189, min values: 3.3655e-06, max values: 40.049, median values: 0.28353, and quantile values: 0.25 0.084377\n0.50 0.283530\n0.75 1.172500\nName: 13561, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3823475165503776, std values: 4.570431254364385, min values: 4.7511e-07, max values: 37.853, median values: 0.2196, and quantile values: 0.25 0.062885\n0.50 0.219600\n0.75 0.851005\nName: 13562, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5457636223421383, std values: 5.114016001957372, min values: 2.3171e-06, max values: 41.72, median values: 0.23123, and quantile values: 0.25 0.069729\n0.50 0.231230\n0.75 0.929320\nName: 13563, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6187000922220125, std values: 4.957653218675647, min values: 3.1055e-06, max values: 39.218, median values: 0.26262, and quantile values: 0.25 0.082566\n0.50 0.262620\n0.75 1.049400\nName: 13564, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3950831446815724, std values: 4.9594370921548165, min values: 9.5547e-07, max values: 42.245, median values: 0.17945, and quantile values: 0.25 0.052413\n0.50 0.179450\n0.75 0.767795\nName: 13565, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.382420585018868, std values: 4.805463659483951, min values: 1.116e-06, max values: 38.588, median values: 0.17624, and quantile values: 0.25 0.058412\n0.50 0.176240\n0.75 0.794375\nName: 13566, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3572099121613206, std values: 4.812434115571242, min values: 9.6145e-07, max values: 38.668, median values: 0.16814, and quantile values: 0.25 0.053377\n0.50 0.168140\n0.75 0.765745\nName: 13567, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4361504228333333, std values: 4.7231253987049175, min values: 6.187e-07, max values: 38.487, median values: 0.20233, and quantile values: 0.25 0.05770\n0.50 0.20233\n0.75 0.91694\nName: 13568, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5044095577755847, std values: 5.014977744962761, min values: 1.6718e-08, max values: 42.087, median values: 0.20451, and quantile values: 0.25 0.047083\n0.50 0.204510\n0.75 0.969375\nName: 13569, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2940433926818866, std values: 4.7867962417481165, min values: 3.7022e-07, max values: 39.535, median values: 0.15266, and quantile values: 0.25 0.047304\n0.50 0.152660\n0.75 0.689400\nName: 13570, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3651999681854086, std values: 4.7680804477521885, min values: 5.5408e-07, max values: 38.876, median values: 0.17179, and quantile values: 0.25 0.053314\n0.50 0.171790\n0.75 0.768950\nName: 13571, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.686420132444025, std values: 5.070042671764428, min values: 1.4695e-06, max values: 40.284, median values: 0.30229, and quantile values: 0.25 0.077296\n0.50 0.302290\n0.75 1.139650\nName: 13572, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4360685956842767, std values: 4.856195492450603, min values: 1.5003e-06, max values: 38.999, median values: 0.22407, and quantile values: 0.25 0.066016\n0.50 0.224070\n0.75 0.887360\nName: 13573, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5699575149798741, std values: 5.120095845130054, min values: 2.4474e-06, max values: 41.651, median values: 0.24253, and quantile values: 0.25 0.061601\n0.50 0.242530\n0.75 1.001385\nName: 13574, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5318928142930819, std values: 4.9191468660268365, min values: 1.7493e-06, max values: 39.383, median values: 0.26098, and quantile values: 0.25 0.071591\n0.50 0.260980\n0.75 0.954405\nName: 13575, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.0304681278113206, std values: 6.118282412245041, min values: 1.9534e-06, max values: 56.61, median values: 0.3266, and quantile values: 0.25 0.090409\n0.50 0.326600\n0.75 1.398800\nName: 13576, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5021023166276728, std values: 5.0104676362980864, min values: 1.5459e-06, max values: 40.421, median values: 0.24758, and quantile values: 0.25 0.059746\n0.50 0.247580\n0.75 0.918230\nName: 13577, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5428791212662265, std values: 5.098586528788512, min values: 2.313e-08, max values: 43.269, median values: 0.23359, and quantile values: 0.25 0.053711\n0.50 0.233590\n0.75 0.969650\nName: 13578, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3573073230918238, std values: 4.647047279410524, min values: 4.917e-07, max values: 37.408, median values: 0.18474, and quantile values: 0.25 0.054191\n0.50 0.184740\n0.75 0.802780\nName: 13579, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5189663985001889, std values: 5.223688271187338, min values: 5.0343e-07, max values: 46.853, median values: 0.23259, and quantile values: 0.25 0.056065\n0.50 0.232590\n0.75 0.937040\nName: 13580, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5714217021125787, std values: 5.2652442780234505, min values: 2.126e-06, max values: 45.13, median values: 0.23592, and quantile values: 0.25 0.075845\n0.50 0.235920\n0.75 0.936920\nName: 13581, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4774391157244655, std values: 4.61991146515871, min values: 3.6679e-07, max values: 37.329, median values: 0.23693, and quantile values: 0.25 0.054137\n0.50 0.236930\n0.75 0.989600\nName: 13582, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.695697696581761, std values: 5.1508024577741995, min values: 2.8612e-06, max values: 40.716, median values: 0.31977, and quantile values: 0.25 0.080162\n0.50 0.319770\n0.75 1.103950\nName: 13583, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3314700662391823, std values: 4.731989245879503, min values: 6.0893e-07, max values: 37.827, median values: 0.18547, and quantile values: 0.25 0.054315\n0.50 0.185470\n0.75 0.756335\nName: 13584, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6311395927968555, std values: 4.859860942815708, min values: 1.921e-06, max values: 37.703, median values: 0.28518, and quantile values: 0.25 0.087402\n0.50 0.285180\n0.75 1.113700\nName: 13585, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4852596910393712, std values: 4.755929929710402, min values: 7.4856e-07, max values: 38.517, median values: 0.20908, and quantile values: 0.25 0.059436\n0.50 0.209080\n0.75 0.990400\nName: 13586, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6630370117301887, std values: 5.089755799075842, min values: 2.1172e-06, max values: 39.956, median values: 0.26685, and quantile values: 0.25 0.071837\n0.50 0.266850\n0.75 1.100850\nName: 13587, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.476208475290566, std values: 4.86070328496723, min values: 3.2327e-06, max values: 40.171, median values: 0.21541, and quantile values: 0.25 0.071794\n0.50 0.215410\n0.75 0.833925\nName: 13588, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5687790303672955, std values: 5.119914408964345, min values: 2.398e-06, max values: 42.121, median values: 0.2624, and quantile values: 0.25 0.071438\n0.50 0.262400\n0.75 0.952465\nName: 13589, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4243765172672957, std values: 4.899095220298124, min values: 1.8229e-06, max values: 39.517, median values: 0.22534, and quantile values: 0.25 0.059202\n0.50 0.225340\n0.75 0.874660\nName: 13590, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6281111135490567, std values: 5.10690139678939, min values: 3.0532e-06, max values: 41.148, median values: 0.26243, and quantile values: 0.25 0.074141\n0.50 0.262430\n0.75 1.083200\nName: 13591, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4333450490780502, std values: 4.943906285984515, min values: 2.8031e-07, max values: 41.616, median values: 0.19305, and quantile values: 0.25 0.054480\n0.50 0.193050\n0.75 0.791275\nName: 13592, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1928323816371067, std values: 4.853205218597263, min values: 1.3717e-06, max values: 39.735, median values: 0.14291, and quantile values: 0.25 0.042916\n0.50 0.142910\n0.75 0.563565\nName: 13593, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4053585002557234, std values: 4.609281311500337, min values: 5.9736e-07, max values: 37.822, median values: 0.20115, and quantile values: 0.25 0.057363\n0.50 0.201150\n0.75 0.852515\nName: 13594, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6160364470939619, std values: 4.933191209969373, min values: 4.2304e-07, max values: 39.58, median values: 0.26377, and quantile values: 0.25 0.069089\n0.50 0.263770\n0.75 1.077850\nName: 13595, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5988582231603774, std values: 5.283551584996224, min values: 3.9176e-06, max values: 43.813, median values: 0.22984, and quantile values: 0.25 0.071562\n0.50 0.229840\n0.75 0.895515\nName: 13596, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.432679710399371, std values: 4.731042325584468, min values: 1.417e-06, max values: 38.12, median values: 0.23038, and quantile values: 0.25 0.060443\n0.50 0.230380\n0.75 0.862865\nName: 13597, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.520563902470503, std values: 4.963725715375506, min values: 8.9111e-07, max values: 40.997, median values: 0.22225, and quantile values: 0.25 0.059472\n0.50 0.222250\n0.75 0.984040\nName: 13598, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5293610507534592, std values: 5.422781481254357, min values: 2.816e-06, max values: 47.357, median values: 0.23267, and quantile values: 0.25 0.063281\n0.50 0.232670\n0.75 0.868975\nName: 13599, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.644202110538994, std values: 5.17456555194447, min values: 5.0455e-06, max values: 40.976, median values: 0.29101, and quantile values: 0.25 0.082483\n0.50 0.291010\n0.75 1.026075\nName: 13600, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4897231289744715, std values: 4.870433828151295, min values: 2.1041e-08, max values: 39.211, median values: 0.20524, and quantile values: 0.25 0.05379\n0.50 0.20524\n0.75 0.91261\nName: 13601, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3383313704245283, std values: 4.663003123560207, min values: 1.6477e-06, max values: 38.377, median values: 0.19021, and quantile values: 0.25 0.055989\n0.50 0.190210\n0.75 0.756820\nName: 13602, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.546423540385346, std values: 4.9440581602479305, min values: 1.9917e-07, max values: 40.231, median values: 0.22182, and quantile values: 0.25 0.064045\n0.50 0.221820\n0.75 1.041900\nName: 13603, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5072634233589937, std values: 4.851722302358756, min values: 2.3168e-07, max values: 38.506, median values: 0.23902, and quantile values: 0.25 0.056672\n0.50 0.239020\n0.75 0.964870\nName: 13604, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6259128102374212, std values: 5.025864712173513, min values: 4.4715e-07, max values: 41.279, median values: 0.29386, and quantile values: 0.25 0.063293\n0.50 0.293860\n0.75 1.053485\nName: 13605, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6486485990390944, std values: 5.0645184113089625, min values: 1.8816e-08, max values: 41.824, median values: 0.25809, and quantile values: 0.25 0.056809\n0.50 0.258090\n0.75 1.177050\nName: 13606, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7851859052924528, std values: 5.116819528855411, min values: 4.539e-06, max values: 39.325, median values: 0.29072, and quantile values: 0.25 0.079108\n0.50 0.290720\n0.75 1.240450\nName: 13607, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3934586047104405, std values: 4.902212762199098, min values: 6.2296e-07, max values: 40.602, median values: 0.18634, and quantile values: 0.25 0.054113\n0.50 0.186340\n0.75 0.801800\nName: 13608, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6104733284716979, std values: 4.968446034971663, min values: 2.5722e-06, max values: 39.713, median values: 0.26525, and quantile values: 0.25 0.07705\n0.50 0.26525\n0.75 1.08570\nName: 13609, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3846323998541508, std values: 4.779326357377481, min values: 9.3611e-07, max values: 38.491, median values: 0.22599, and quantile values: 0.25 0.056136\n0.50 0.225990\n0.75 0.790640\nName: 13610, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4394896088628932, std values: 4.681718565842545, min values: 1.4557e-06, max values: 38.086, median values: 0.25639, and quantile values: 0.25 0.068018\n0.50 0.256390\n0.75 0.886605\nName: 13611, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3866882110876728, std values: 5.052309011691094, min values: 5.7384e-07, max values: 44.081, median values: 0.17568, and quantile values: 0.25 0.055079\n0.50 0.175680\n0.75 0.765510\nName: 13612, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3993199780250942, std values: 5.00858738464105, min values: 1.7239e-07, max values: 42.775, median values: 0.19088, and quantile values: 0.25 0.054854\n0.50 0.190880\n0.75 0.796810\nName: 13613, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4396426976106917, std values: 5.057931493340211, min values: 8.848e-07, max values: 43.077, median values: 0.22391, and quantile values: 0.25 0.062861\n0.50 0.223910\n0.75 0.757955\nName: 13614, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4969979310316983, std values: 4.981671983040959, min values: 9.8414e-07, max values: 41.278, median values: 0.23554, and quantile values: 0.25 0.069495\n0.50 0.235540\n0.75 0.891550\nName: 13615, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5095559394794968, std values: 4.865955929728559, min values: 3.2934e-07, max values: 39.504, median values: 0.20653, and quantile values: 0.25 0.056826\n0.50 0.206530\n0.75 0.915065\nName: 13616, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4519166967755974, std values: 4.861796245327158, min values: 2.7942e-07, max values: 39.801, median values: 0.21178, and quantile values: 0.25 0.055288\n0.50 0.211780\n0.75 0.848695\nName: 13617, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6245274700735852, std values: 5.010796302146884, min values: 2.1316e-06, max values: 39.2, median values: 0.27655, and quantile values: 0.25 0.070839\n0.50 0.276550\n0.75 1.032600\nName: 13618, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6087254209251571, std values: 4.981463105991864, min values: 2.8626e-06, max values: 39.66, median values: 0.29351, and quantile values: 0.25 0.07930\n0.50 0.29351\n0.75 1.18655\nName: 13619, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.448440283309434, std values: 5.146068751382337, min values: 2.7362e-06, max values: 42.604, median values: 0.19139, and quantile values: 0.25 0.059756\n0.50 0.191390\n0.75 0.794290\nName: 13620, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4401401616464466, std values: 4.768372741274366, min values: 2.0105e-08, max values: 37.972, median values: 0.21164, and quantile values: 0.25 0.050692\n0.50 0.211640\n0.75 0.932470\nName: 13621, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.338268461772956, std values: 4.772147359346276, min values: 1.4614e-06, max values: 39.19, median values: 0.19537, and quantile values: 0.25 0.056349\n0.50 0.195370\n0.75 0.785235\nName: 13622, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.577948760737547, std values: 5.007929569546665, min values: 5.1337e-07, max values: 41.873, median values: 0.21559, and quantile values: 0.25 0.061824\n0.50 0.215590\n0.75 0.941770\nName: 13623, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5800278290937106, std values: 4.959948975003271, min values: 1.3285e-06, max values: 40.088, median values: 0.26063, and quantile values: 0.25 0.077378\n0.50 0.260630\n0.75 1.009500\nName: 13624, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4404430027503146, std values: 4.82364256952413, min values: 1.0696e-06, max values: 38.682, median values: 0.22853, and quantile values: 0.25 0.063632\n0.50 0.228530\n0.75 0.890315\nName: 13625, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3001935456245284, std values: 4.697058524714631, min values: 1.5272e-06, max values: 39.207, median values: 0.17162, and quantile values: 0.25 0.055808\n0.50 0.171620\n0.75 0.710525\nName: 13626, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4483133057362578, std values: 4.8478322946941335, min values: 2.4831e-08, max values: 40.734, median values: 0.18577, and quantile values: 0.25 0.038076\n0.50 0.185770\n0.75 0.848365\nName: 13627, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4776319916701257, std values: 4.952726612977772, min values: 2.555e-08, max values: 41.48, median values: 0.21868, and quantile values: 0.25 0.061414\n0.50 0.218680\n0.75 0.918460\nName: 13628, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.545768775535849, std values: 5.291256069728129, min values: 5.6486e-06, max values: 42.365, median values: 0.22929, and quantile values: 0.25 0.062511\n0.50 0.229290\n0.75 0.735320\nName: 13629, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4186109282440251, std values: 4.96091740731412, min values: 3.9722e-06, max values: 40.497, median values: 0.21266, and quantile values: 0.25 0.067077\n0.50 0.212660\n0.75 0.779590\nName: 13630, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5913010553522011, std values: 5.271241411054353, min values: 5.1846e-06, max values: 42.02, median values: 0.259, and quantile values: 0.25 0.081540\n0.50 0.259000\n0.75 0.842765\nName: 13631, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.662231712034088, std values: 5.212893621863894, min values: 8.8312e-07, max values: 43.93, median values: 0.29384, and quantile values: 0.25 0.065885\n0.50 0.293840\n0.75 1.076700\nName: 13632, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2606986403389935, std values: 4.893117068853587, min values: 2.25e-08, max values: 41.294, median values: 0.17253, and quantile values: 0.25 0.042340\n0.50 0.172530\n0.75 0.658415\nName: 13633, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.508971030772327, std values: 5.1445117925721355, min values: 1.7047e-06, max values: 43.178, median values: 0.21265, and quantile values: 0.25 0.060698\n0.50 0.212650\n0.75 0.958615\nName: 13634, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5124301026816351, std values: 4.824267278557625, min values: 6.6968e-07, max values: 38.074, median values: 0.24536, and quantile values: 0.25 0.072176\n0.50 0.245360\n0.75 0.974580\nName: 13635, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5537117252880503, std values: 5.055673510171538, min values: 1.0702e-06, max values: 42.579, median values: 0.24306, and quantile values: 0.25 0.069315\n0.50 0.243060\n0.75 1.029745\nName: 13636, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5557260577915786, std values: 5.161249139843443, min values: 7.8061e-08, max values: 44.999, median values: 0.22354, and quantile values: 0.25 0.059480\n0.50 0.223540\n0.75 0.926945\nName: 13637, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5464285049308175, std values: 4.840670235218868, min values: 4.1462e-06, max values: 40.102, median values: 0.27059, and quantile values: 0.25 0.082396\n0.50 0.270590\n0.75 0.946685\nName: 13638, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2164722741919496, std values: 4.822341681324401, min values: 3.3862e-07, max values: 40.809, median values: 0.12989, and quantile values: 0.25 0.040905\n0.50 0.129890\n0.75 0.634110\nName: 13639, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.310372989400629, std values: 4.69790262328852, min values: 1.6582e-06, max values: 38.645, median values: 0.18883, and quantile values: 0.25 0.056628\n0.50 0.188830\n0.75 0.741725\nName: 13640, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4636003420748427, std values: 4.856257700729669, min values: 4.1743e-06, max values: 40.211, median values: 0.22935, and quantile values: 0.25 0.069406\n0.50 0.229350\n0.75 0.818460\nName: 13641, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4328323810989938, std values: 4.859217260512137, min values: 3.5494e-07, max values: 39.941, median values: 0.19057, and quantile values: 0.25 0.050138\n0.50 0.190570\n0.75 0.799685\nName: 13642, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5426886292257862, std values: 4.7863314332322116, min values: 1.8074e-06, max values: 39.181, median values: 0.24951, and quantile values: 0.25 0.069135\n0.50 0.249510\n0.75 1.056250\nName: 13643, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4526636791172327, std values: 4.776671395441826, min values: 7.1454e-07, max values: 38.212, median values: 0.23776, and quantile values: 0.25 0.063262\n0.50 0.237760\n0.75 0.896335\nName: 13644, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4839442664986793, std values: 4.690406483403924, min values: 3.1202e-07, max values: 36.931, median values: 0.17862, and quantile values: 0.25 0.054422\n0.50 0.178620\n0.75 0.874970\nName: 13645, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.265280229207044, std values: 4.767122347306287, min values: 6.4682e-07, max values: 38.378, median values: 0.16629, and quantile values: 0.25 0.053065\n0.50 0.166290\n0.75 0.681205\nName: 13646, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3656093150723272, std values: 4.699277964317891, min values: 1.2832e-06, max values: 38.507, median values: 0.2076, and quantile values: 0.25 0.062846\n0.50 0.207600\n0.75 0.831570\nName: 13647, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3948579641100627, std values: 4.981502530382787, min values: 2.1343e-06, max values: 40.495, median values: 0.22707, and quantile values: 0.25 0.063786\n0.50 0.227070\n0.75 0.765495\nName: 13648, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5498236881968552, std values: 4.837641083919882, min values: 1.5291e-06, max values: 38.932, median values: 0.25645, and quantile values: 0.25 0.074446\n0.50 0.256450\n0.75 1.000235\nName: 13649, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3535511394452828, std values: 4.707768943854587, min values: 1.6578e-06, max values: 38.479, median values: 0.21312, and quantile values: 0.25 0.068225\n0.50 0.213120\n0.75 0.800555\nName: 13650, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.367699982520126, std values: 4.667585508739641, min values: 1.7191e-06, max values: 38.856, median values: 0.20033, and quantile values: 0.25 0.062909\n0.50 0.200330\n0.75 0.841000\nName: 13651, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.416418611546541, std values: 4.926557777778549, min values: 4.206e-07, max values: 40.71, median values: 0.20721, and quantile values: 0.25 0.050144\n0.50 0.207210\n0.75 0.815565\nName: 13652, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.206818078987924, std values: 4.719204058090917, min values: 9.8299e-09, max values: 39.181, median values: 0.131, and quantile values: 0.25 0.031573\n0.50 0.131000\n0.75 0.563720\nName: 13653, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5497147408490566, std values: 4.816569384615837, min values: 1.0097e-06, max values: 38.107, median values: 0.25368, and quantile values: 0.25 0.063188\n0.50 0.253680\n0.75 1.057850\nName: 13654, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6453138533433962, std values: 5.082411779231839, min values: 6.0459e-06, max values: 41.2, median values: 0.28751, and quantile values: 0.25 0.079917\n0.50 0.287510\n0.75 1.025475\nName: 13655, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5397557516591196, std values: 4.914384166313401, min values: 3.0372e-06, max values: 40.315, median values: 0.2416, and quantile values: 0.25 0.064085\n0.50 0.241600\n0.75 0.955185\nName: 13656, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4744062117094339, std values: 4.92401016456855, min values: 2.7207e-06, max values: 39.187, median values: 0.21873, and quantile values: 0.25 0.067931\n0.50 0.218730\n0.75 0.931120\nName: 13657, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4196570953364778, std values: 5.018526353497049, min values: 3.7127e-06, max values: 40.845, median values: 0.19784, and quantile values: 0.25 0.061393\n0.50 0.197840\n0.75 0.750625\nName: 13658, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3490653730640254, std values: 4.862013801338389, min values: 6.8058e-07, max values: 40.1, median values: 0.14876, and quantile values: 0.25 0.050617\n0.50 0.148760\n0.75 0.768785\nName: 13659, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.370917662340805, std values: 4.704388877704907, min values: 1.8378e-08, max values: 37.359, median values: 0.17702, and quantile values: 0.25 0.04945\n0.50 0.17702\n0.75 0.74083\nName: 13660, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3724098092837735, std values: 4.5767986441409665, min values: 9.1632e-07, max values: 38.262, median values: 0.21357, and quantile values: 0.25 0.061135\n0.50 0.213570\n0.75 0.853755\nName: 13661, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3651723092578616, std values: 4.9645084804354855, min values: 1.7897e-06, max values: 39.97, median values: 0.18993, and quantile values: 0.25 0.048444\n0.50 0.189930\n0.75 0.739995\nName: 13662, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5213095371509435, std values: 4.843663894539677, min values: 1.2299e-06, max values: 38.47, median values: 0.23123, and quantile values: 0.25 0.070586\n0.50 0.231230\n0.75 0.949305\nName: 13663, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6991347511791821, std values: 5.1677986511404175, min values: 6.7899e-07, max values: 42.764, median values: 0.2804, and quantile values: 0.25 0.068723\n0.50 0.280400\n0.75 1.127900\nName: 13664, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.500554211465409, std values: 5.090051072005331, min values: 2.448e-06, max values: 40.838, median values: 0.21767, and quantile values: 0.25 0.057996\n0.50 0.217670\n0.75 0.880955\nName: 13665, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8372121134937107, std values: 5.298123433910991, min values: 2.4795e-06, max values: 42.611, median values: 0.31825, and quantile values: 0.25 0.09581\n0.50 0.31825\n0.75 1.19735\nName: 13666, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4119844154561636, std values: 4.716889158025806, min values: 3.6183e-07, max values: 38.3, median values: 0.19403, and quantile values: 0.25 0.046308\n0.50 0.194030\n0.75 0.830690\nName: 13667, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4216695562867925, std values: 4.882364442642735, min values: 0.0, max values: 40.029, median values: 0.20417, and quantile values: 0.25 0.059786\n0.50 0.204170\n0.75 0.834860\nName: 13668, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.544267805508805, std values: 4.76577592920734, min values: 2.3335e-06, max values: 39.331, median values: 0.27726, and quantile values: 0.25 0.077758\n0.50 0.277260\n0.75 1.012755\nName: 13669, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2934345283902138, std values: 4.669845236259406, min values: 1.2624e-08, max values: 37.265, median values: 0.1456, and quantile values: 0.25 0.036201\n0.50 0.145600\n0.75 0.703165\nName: 13670, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.0429045477597483, std values: 5.527568331330516, min values: 9.4938e-06, max values: 41.637, median values: 0.34034, and quantile values: 0.25 0.095696\n0.50 0.340340\n0.75 1.345450\nName: 13671, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.203851132625723, std values: 4.957347333351742, min values: 7.4359e-07, max values: 42.724, median values: 0.13816, and quantile values: 0.25 0.03915\n0.50 0.13816\n0.75 0.57746\nName: 13672, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4214999348641508, std values: 5.119059178521297, min values: 1.9389e-06, max values: 43.268, median values: 0.2069, and quantile values: 0.25 0.056852\n0.50 0.206900\n0.75 0.814155\nName: 13673, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3050765316563524, std values: 4.662799065409369, min values: 5.6276e-07, max values: 37.74, median values: 0.17555, and quantile values: 0.25 0.052499\n0.50 0.175550\n0.75 0.744960\nName: 13674, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4829371282276729, std values: 4.919451258481116, min values: 2.13e-06, max values: 39.488, median values: 0.2313, and quantile values: 0.25 0.073408\n0.50 0.231300\n0.75 0.884715\nName: 13675, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.461941856535849, std values: 4.872091721624718, min values: 3.0497e-06, max values: 40.165, median values: 0.24495, and quantile values: 0.25 0.071864\n0.50 0.244950\n0.75 0.831340\nName: 13676, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.607307323365931, std values: 4.935744559018226, min values: 7.3463e-08, max values: 40.352, median values: 0.23484, and quantile values: 0.25 0.055708\n0.50 0.234840\n0.75 1.038100\nName: 13677, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4159717772216982, std values: 4.7143935058158375, min values: 5.6405e-07, max values: 37.332, median values: 0.22789, and quantile values: 0.25 0.060003\n0.50 0.227890\n0.75 0.848700\nName: 13678, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3303890814744028, std values: 4.754741778684506, min values: 9.0483e-07, max values: 39.833, median values: 0.17871, and quantile values: 0.25 0.049892\n0.50 0.178710\n0.75 0.776840\nName: 13679, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.423231962956415, std values: 4.52625740456155, min values: 4.1507e-07, max values: 37.643, median values: 0.21929, and quantile values: 0.25 0.058531\n0.50 0.219290\n0.75 0.898715\nName: 13680, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6373283292432261, std values: 5.087123260051121, min values: 2.0003e-08, max values: 43.385, median values: 0.22959, and quantile values: 0.25 0.051238\n0.50 0.229590\n0.75 1.029705\nName: 13681, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4385265281943396, std values: 4.632319156102808, min values: 2.1496e-06, max values: 38.839, median values: 0.22612, and quantile values: 0.25 0.060534\n0.50 0.226120\n0.75 0.934585\nName: 13682, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4674571470749056, std values: 4.8596332645792515, min values: 7.7071e-07, max values: 38.616, median values: 0.23372, and quantile values: 0.25 0.060299\n0.50 0.233720\n0.75 0.826305\nName: 13683, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4652103110251573, std values: 4.988399146932631, min values: 3.1159e-06, max values: 40.752, median values: 0.22278, and quantile values: 0.25 0.060125\n0.50 0.222780\n0.75 0.868980\nName: 13684, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2887614129226415, std values: 4.789220946276801, min values: 3.1086e-06, max values: 40.612, median values: 0.17748, and quantile values: 0.25 0.055594\n0.50 0.177480\n0.75 0.660490\nName: 13685, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4570091144660378, std values: 4.7815390176349055, min values: 1.6842e-06, max values: 37.941, median values: 0.22726, and quantile values: 0.25 0.069730\n0.50 0.227260\n0.75 0.889975\nName: 13686, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6016969256012579, std values: 5.1050312294330356, min values: 3.1178e-06, max values: 40.449, median values: 0.26391, and quantile values: 0.25 0.075705\n0.50 0.263910\n0.75 0.991440\nName: 13687, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3316972530993711, std values: 4.87000285514598, min values: 1.8143e-06, max values: 39.699, median values: 0.18882, and quantile values: 0.25 0.053207\n0.50 0.188820\n0.75 0.727860\nName: 13688, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6853596020855348, std values: 5.373890042802832, min values: 4.1707e-06, max values: 44.799, median values: 0.27592, and quantile values: 0.25 0.084102\n0.50 0.275920\n0.75 0.986085\nName: 13689, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4977745362615094, std values: 4.975396194838233, min values: 4.4138e-07, max values: 42.02, median values: 0.2584, and quantile values: 0.25 0.061168\n0.50 0.258400\n0.75 0.909230\nName: 13690, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4308810769691822, std values: 5.0223651641893925, min values: 1.8121e-06, max values: 41.191, median values: 0.21787, and quantile values: 0.25 0.063793\n0.50 0.217870\n0.75 0.817855\nName: 13691, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5672589631201257, std values: 5.267277171012012, min values: 1.0091e-06, max values: 46.267, median values: 0.21016, and quantile values: 0.25 0.065430\n0.50 0.210160\n0.75 0.894475\nName: 13692, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.491438877481132, std values: 4.734676321081934, min values: 1.2099e-06, max values: 38.688, median values: 0.23893, and quantile values: 0.25 0.06947\n0.50 0.23893\n0.75 0.96637\nName: 13693, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2250977844761006, std values: 4.508438438515697, min values: 1.2409e-06, max values: 37.727, median values: 0.14635, and quantile values: 0.25 0.048845\n0.50 0.146350\n0.75 0.594335\nName: 13694, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4814703307060377, std values: 5.09222789699974, min values: 4.5446e-07, max values: 43.955, median values: 0.21809, and quantile values: 0.25 0.052630\n0.50 0.218090\n0.75 0.832205\nName: 13695, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5246655663773585, std values: 5.014157963064229, min values: 2.2087e-06, max values: 39.851, median values: 0.21088, and quantile values: 0.25 0.061691\n0.50 0.210880\n0.75 0.913380\nName: 13696, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5698216887754717, std values: 4.963621039259337, min values: 1.2578e-06, max values: 39.304, median values: 0.24731, and quantile values: 0.25 0.071677\n0.50 0.247310\n0.75 1.044050\nName: 13697, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3506657650883016, std values: 4.834454804946597, min values: 5.7034e-07, max values: 39.096, median values: 0.17448, and quantile values: 0.25 0.056269\n0.50 0.174480\n0.75 0.757525\nName: 13698, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5995310776855345, std values: 4.795756665479735, min values: 2.5633e-06, max values: 38.907, median values: 0.27557, and quantile values: 0.25 0.07748\n0.50 0.27557\n0.75 1.08720\nName: 13699, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.57336162908717, std values: 5.070608042929341, min values: 9.7886e-07, max values: 42.096, median values: 0.21338, and quantile values: 0.25 0.067541\n0.50 0.213380\n0.75 0.915890\nName: 13700, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5411128725896857, std values: 4.899211351419875, min values: 3.2066e-07, max values: 40.364, median values: 0.27475, and quantile values: 0.25 0.05944\n0.50 0.27475\n0.75 1.01570\nName: 13701, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.510730134964176, std values: 4.89599098434059, min values: 3.2744e-08, max values: 40.071, median values: 0.19874, and quantile values: 0.25 0.053637\n0.50 0.198740\n0.75 0.919440\nName: 13702, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4427415787479874, std values: 4.779465109432017, min values: 9.0153e-07, max values: 37.76, median values: 0.2477, and quantile values: 0.25 0.071732\n0.50 0.247700\n0.75 0.896735\nName: 13703, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4060489678660375, std values: 4.832888219711828, min values: 4.6451e-06, max values: 41.459, median values: 0.2271, and quantile values: 0.25 0.056607\n0.50 0.227100\n0.75 0.674040\nName: 13704, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3762639711581761, std values: 4.891049362610629, min values: 2.4285e-07, max values: 41.08, median values: 0.16366, and quantile values: 0.25 0.049249\n0.50 0.163660\n0.75 0.755680\nName: 13705, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2712046839706919, std values: 4.625149555263146, min values: 8.6624e-07, max values: 37.9, median values: 0.17854, and quantile values: 0.25 0.050710\n0.50 0.178540\n0.75 0.704935\nName: 13706, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.588671579922516, std values: 4.920415253447445, min values: 2.3978e-07, max values: 39.87, median values: 0.23701, and quantile values: 0.25 0.059872\n0.50 0.237010\n0.75 1.081500\nName: 13707, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6645324935534593, std values: 5.2692029110811465, min values: 3.314e-06, max values: 43.232, median values: 0.2789, and quantile values: 0.25 0.083644\n0.50 0.278900\n0.75 0.993550\nName: 13708, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2341475660676666, std values: 4.740848602359858, min values: 1.5469e-08, max values: 39.453, median values: 0.14052, and quantile values: 0.25 0.033925\n0.50 0.140520\n0.75 0.661145\nName: 13709, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3899997537080504, std values: 4.915538698305032, min values: 7.7218e-07, max values: 40.559, median values: 0.19018, and quantile values: 0.25 0.057305\n0.50 0.190180\n0.75 0.794250\nName: 13710, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.29757053498522, std values: 4.625789131666112, min values: 4.2128e-07, max values: 36.663, median values: 0.14774, and quantile values: 0.25 0.044666\n0.50 0.147740\n0.75 0.702640\nName: 13711, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3018779536937108, std values: 4.768877618657809, min values: 1.1359e-06, max values: 39.024, median values: 0.16957, and quantile values: 0.25 0.051182\n0.50 0.169570\n0.75 0.695495\nName: 13712, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4398882005150941, std values: 4.807387974692351, min values: 3.0058e-06, max values: 40.035, median values: 0.21602, and quantile values: 0.25 0.061371\n0.50 0.216020\n0.75 0.853180\nName: 13713, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7148439950949688, std values: 5.092376960303645, min values: 3.1568e-06, max values: 39.755, median values: 0.28608, and quantile values: 0.25 0.081357\n0.50 0.286080\n0.75 1.181200\nName: 13714, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6316605804647797, std values: 5.081763146343017, min values: 1.9842e-06, max values: 40.88, median values: 0.26117, and quantile values: 0.25 0.075013\n0.50 0.261170\n0.75 1.095000\nName: 13715, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7669754804050315, std values: 5.259369546528537, min values: 2.9057e-06, max values: 42.451, median values: 0.33688, and quantile values: 0.25 0.082951\n0.50 0.336880\n0.75 1.210000\nName: 13716, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5018302672094337, std values: 5.0725696773466336, min values: 2.2496e-06, max values: 42.019, median values: 0.2318, and quantile values: 0.25 0.065151\n0.50 0.231800\n0.75 0.874930\nName: 13717, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4836877227557232, std values: 4.95997619680123, min values: 9.1376e-07, max values: 41.068, median values: 0.19483, and quantile values: 0.25 0.060039\n0.50 0.194830\n0.75 0.805905\nName: 13718, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5837455496232704, std values: 4.85195794158891, min values: 4.0987e-06, max values: 39.644, median values: 0.24745, and quantile values: 0.25 0.074478\n0.50 0.247450\n0.75 0.989130\nName: 13719, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6701733204754718, std values: 5.238547036525656, min values: 2.5164e-06, max values: 43.948, median values: 0.2683, and quantile values: 0.25 0.074853\n0.50 0.268300\n0.75 1.096150\nName: 13720, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4502894272465408, std values: 4.8728712126558404, min values: 2.2551e-06, max values: 39.014, median values: 0.18905, and quantile values: 0.25 0.05590\n0.50 0.18905\n0.75 0.80143\nName: 13721, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3954833901187422, std values: 4.787618813472646, min values: 4.8778e-07, max values: 39.173, median values: 0.22357, and quantile values: 0.25 0.052892\n0.50 0.223570\n0.75 0.849730\nName: 13722, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.355780753044025, std values: 4.777834097543989, min values: 1.7682e-06, max values: 39.37, median values: 0.19827, and quantile values: 0.25 0.054912\n0.50 0.198270\n0.75 0.756570\nName: 13723, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3835656856972451, std values: 4.693348860922607, min values: 1.9462e-08, max values: 37.901, median values: 0.20725, and quantile values: 0.25 0.052980\n0.50 0.207250\n0.75 0.795315\nName: 13724, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6284703118918238, std values: 5.051452708727088, min values: 4.6176e-06, max values: 39.873, median values: 0.25503, and quantile values: 0.25 0.081558\n0.50 0.255030\n0.75 1.021410\nName: 13725, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.565937186871698, std values: 4.7477858478832085, min values: 2.3143e-06, max values: 39.272, median values: 0.26456, and quantile values: 0.25 0.077527\n0.50 0.264560\n0.75 1.063050\nName: 13726, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5528693835597485, std values: 5.030451420364708, min values: 2.0616e-06, max values: 40.255, median values: 0.24094, and quantile values: 0.25 0.067964\n0.50 0.240940\n0.75 0.976680\nName: 13727, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.443914738455346, std values: 4.962367180444695, min values: 4.798e-06, max values: 41.779, median values: 0.20259, and quantile values: 0.25 0.047961\n0.50 0.202590\n0.75 0.778605\nName: 13728, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.50874907195478, std values: 4.810714087121129, min values: 9.2131e-07, max values: 38.503, median values: 0.2501, and quantile values: 0.25 0.065958\n0.50 0.250100\n0.75 0.959015\nName: 13729, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.463428391197673, std values: 4.9549983217393665, min values: 4.8563e-07, max values: 40.856, median values: 0.21368, and quantile values: 0.25 0.060423\n0.50 0.213680\n0.75 0.892335\nName: 13730, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5995608475578615, std values: 5.176818997485265, min values: 5.2249e-06, max values: 41.944, median values: 0.26961, and quantile values: 0.25 0.074244\n0.50 0.269610\n0.75 0.897395\nName: 13731, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3554221276477987, std values: 4.976853378179477, min values: 3.0117e-07, max values: 43.45, median values: 0.1624, and quantile values: 0.25 0.037735\n0.50 0.162400\n0.75 0.680880\nName: 13732, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5234029999402516, std values: 4.916786490604465, min values: 2.2108e-06, max values: 39.188, median values: 0.26691, and quantile values: 0.25 0.073996\n0.50 0.266910\n0.75 0.971940\nName: 13733, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5358400779175412, std values: 5.034325629673518, min values: 2.5489e-08, max values: 42.716, median values: 0.22468, and quantile values: 0.25 0.063555\n0.50 0.224680\n0.75 1.011800\nName: 13734, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3984855312401887, std values: 4.779737130018119, min values: 1.2379e-07, max values: 37.966, median values: 0.20089, and quantile values: 0.25 0.054168\n0.50 0.200890\n0.75 0.809825\nName: 13735, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4557497067949685, std values: 4.7770868548657095, min values: 3.6594e-06, max values: 39.868, median values: 0.22472, and quantile values: 0.25 0.07665\n0.50 0.22472\n0.75 0.89794\nName: 13736, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5894868055591196, std values: 4.960728616938127, min values: 2.9358e-06, max values: 39.631, median values: 0.26081, and quantile values: 0.25 0.074765\n0.50 0.260810\n0.75 0.981910\nName: 13737, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.535138134289937, std values: 4.952973959614042, min values: 3.1645e-06, max values: 40.111, median values: 0.29095, and quantile values: 0.25 0.07743\n0.50 0.29095\n0.75 0.90457\nName: 13738, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3744248854069938, std values: 4.5573162795619035, min values: 2.8762e-08, max values: 37.024, median values: 0.23912, and quantile values: 0.25 0.052132\n0.50 0.239120\n0.75 0.838130\nName: 13739, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2311923274150942, std values: 4.82038128825909, min values: 1.55e-06, max values: 39.327, median values: 0.14736, and quantile values: 0.25 0.049012\n0.50 0.147360\n0.75 0.641560\nName: 13740, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4966846970842769, std values: 5.123853376593227, min values: 3.9978e-06, max values: 41.642, median values: 0.23674, and quantile values: 0.25 0.067364\n0.50 0.236740\n0.75 0.834960\nName: 13741, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4531910310785534, std values: 5.12966520367624, min values: 5.9749e-07, max values: 44.68, median values: 0.19982, and quantile values: 0.25 0.052174\n0.50 0.199820\n0.75 0.853260\nName: 13742, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4704718930830185, std values: 4.845618466773201, min values: 4.225e-06, max values: 40.721, median values: 0.23328, and quantile values: 0.25 0.066308\n0.50 0.233280\n0.75 0.835810\nName: 13743, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6902286577842767, std values: 5.1579939450057575, min values: 4.9757e-06, max values: 40.809, median values: 0.25271, and quantile values: 0.25 0.077314\n0.50 0.252710\n0.75 1.061800\nName: 13744, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.287139794560377, std values: 4.6900853672979075, min values: 2.2441e-06, max values: 39.687, median values: 0.19709, and quantile values: 0.25 0.057233\n0.50 0.197090\n0.75 0.708170\nName: 13745, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3709163944477294, std values: 4.851523514677585, min values: 2.6939e-08, max values: 40.43, median values: 0.16369, and quantile values: 0.25 0.043238\n0.50 0.163690\n0.75 0.759065\nName: 13746, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6566805789710692, std values: 4.978373773025299, min values: 3.5863e-06, max values: 40.219, median values: 0.23818, and quantile values: 0.25 0.078035\n0.50 0.238180\n0.75 1.077450\nName: 13747, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6875945146930815, std values: 5.169299860213055, min values: 4.0535e-06, max values: 40.605, median values: 0.26629, and quantile values: 0.25 0.079706\n0.50 0.266290\n0.75 1.142900\nName: 13748, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.409557816955346, std values: 4.813059417910647, min values: 1.8268e-06, max values: 38.468, median values: 0.20781, and quantile values: 0.25 0.062464\n0.50 0.207810\n0.75 0.791025\nName: 13749, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3270620242557232, std values: 4.680671451148474, min values: 8.6146e-07, max values: 37.386, median values: 0.17254, and quantile values: 0.25 0.055069\n0.50 0.172540\n0.75 0.733630\nName: 13750, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.430655228873459, std values: 4.746580122054411, min values: 3.4888e-07, max values: 37.645, median values: 0.19326, and quantile values: 0.25 0.054561\n0.50 0.193260\n0.75 0.882510\nName: 13751, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3462256625664153, std values: 4.898931614069499, min values: 2.3986e-07, max values: 41.294, median values: 0.15346, and quantile values: 0.25 0.045904\n0.50 0.153460\n0.75 0.666245\nName: 13752, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7536201284855346, std values: 5.233493611557597, min values: 3.5777e-06, max values: 42.09, median values: 0.34061, and quantile values: 0.25 0.075958\n0.50 0.340610\n0.75 1.259350\nName: 13753, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3403333766193835, std values: 4.584052621457224, min values: 2.4502e-08, max values: 36.505, median values: 0.19609, and quantile values: 0.25 0.042402\n0.50 0.196090\n0.75 0.711090\nName: 13754, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6196889907320755, std values: 5.09900455524973, min values: 2.4305e-06, max values: 41.343, median values: 0.24968, and quantile values: 0.25 0.069349\n0.50 0.249680\n0.75 1.102900\nName: 13755, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6024602174037736, std values: 5.049809342419896, min values: 1.1262e-06, max values: 41.83, median values: 0.27191, and quantile values: 0.25 0.071525\n0.50 0.271910\n0.75 1.049900\nName: 13756, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3087109672176103, std values: 4.722465915917415, min values: 1.2153e-06, max values: 38.901, median values: 0.18579, and quantile values: 0.25 0.050606\n0.50 0.185790\n0.75 0.746075\nName: 13757, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5605845568723271, std values: 5.0765001912366525, min values: 2.2636e-06, max values: 41.195, median values: 0.23613, and quantile values: 0.25 0.067719\n0.50 0.236130\n0.75 1.001965\nName: 13758, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5800608786956603, std values: 5.133274682251796, min values: 6.2021e-07, max values: 42.622, median values: 0.23244, and quantile values: 0.25 0.067186\n0.50 0.232440\n0.75 0.994010\nName: 13759, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2726180641088052, std values: 4.58740648219601, min values: 2.2117e-06, max values: 39.602, median values: 0.18766, and quantile values: 0.25 0.050282\n0.50 0.187660\n0.75 0.702050\nName: 13760, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.390195997554717, std values: 5.003753557671647, min values: 1.0751e-06, max values: 41.646, median values: 0.18463, and quantile values: 0.25 0.059934\n0.50 0.184630\n0.75 0.782480\nName: 13761, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5078696733720127, std values: 4.870161844597338, min values: 3.335e-08, max values: 39.657, median values: 0.22784, and quantile values: 0.25 0.056971\n0.50 0.227840\n0.75 0.978320\nName: 13762, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.553690381675472, std values: 4.857574382761929, min values: 1.9641e-06, max values: 38.522, median values: 0.2333, and quantile values: 0.25 0.067031\n0.50 0.233300\n0.75 0.936925\nName: 13763, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2752227182866667, std values: 4.645060540535635, min values: 7.3518e-07, max values: 37.675, median values: 0.17103, and quantile values: 0.25 0.051953\n0.50 0.171030\n0.75 0.749885\nName: 13764, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5848939878962265, std values: 5.15140608086775, min values: 3.6778e-06, max values: 42.538, median values: 0.23439, and quantile values: 0.25 0.072833\n0.50 0.234390\n0.75 0.986410\nName: 13765, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3819986244949687, std values: 4.798386499571944, min values: 1.2925e-06, max values: 38.737, median values: 0.18506, and quantile values: 0.25 0.056224\n0.50 0.185060\n0.75 0.777060\nName: 13766, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3945105683579875, std values: 5.038437309284435, min values: 1.24e-08, max values: 43.819, median values: 0.15614, and quantile values: 0.25 0.036174\n0.50 0.156140\n0.75 0.739850\nName: 13767, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3753525812226415, std values: 4.885707257613618, min values: 2.0471e-06, max values: 39.658, median values: 0.19944, and quantile values: 0.25 0.052686\n0.50 0.199440\n0.75 0.768055\nName: 13768, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4166524779437106, std values: 4.771141762710289, min values: 2.1741e-07, max values: 38.46, median values: 0.19882, and quantile values: 0.25 0.049711\n0.50 0.198820\n0.75 0.840320\nName: 13769, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5578624688863523, std values: 4.973320935467433, min values: 9.6853e-07, max values: 40.455, median values: 0.24093, and quantile values: 0.25 0.067264\n0.50 0.240930\n0.75 0.977615\nName: 13770, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3539031210628931, std values: 4.893645948086512, min values: 2.1372e-06, max values: 40.913, median values: 0.18236, and quantile values: 0.25 0.057557\n0.50 0.182360\n0.75 0.715625\nName: 13771, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3536234117189307, std values: 4.6571715372496865, min values: 3.4521e-07, max values: 37.011, median values: 0.18226, and quantile values: 0.25 0.049325\n0.50 0.182260\n0.75 0.779325\nName: 13772, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3951903377377357, std values: 4.779164424740792, min values: 5.079e-07, max values: 38.682, median values: 0.20592, and quantile values: 0.25 0.058805\n0.50 0.205920\n0.75 0.834840\nName: 13773, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.418772688047107, std values: 4.735125742165671, min values: 1.8959e-07, max values: 37.735, median values: 0.21683, and quantile values: 0.25 0.05058\n0.50 0.21683\n0.75 0.82200\nName: 13774, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.601291592228302, std values: 5.032393850197664, min values: 3.1493e-06, max values: 39.827, median values: 0.23549, and quantile values: 0.25 0.072842\n0.50 0.235490\n0.75 1.035050\nName: 13775, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4182638597124528, std values: 4.8536639774887425, min values: 6.2848e-07, max values: 39.42, median values: 0.20384, and quantile values: 0.25 0.053054\n0.50 0.203840\n0.75 0.874890\nName: 13776, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7206820883660376, std values: 5.148232140279449, min values: 1.5881e-06, max values: 41.635, median values: 0.26833, and quantile values: 0.25 0.079393\n0.50 0.268330\n0.75 1.192250\nName: 13777, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5066577329534592, std values: 4.8910674149024365, min values: 1.0035e-06, max values: 38.96, median values: 0.2129, and quantile values: 0.25 0.065756\n0.50 0.212900\n0.75 0.974060\nName: 13778, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.366429087681761, std values: 4.692777403817364, min values: 2.1543e-06, max values: 40.304, median values: 0.18843, and quantile values: 0.25 0.062538\n0.50 0.188430\n0.75 0.765425\nName: 13779, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5456734440015722, std values: 4.972519476730524, min values: 3.4595e-07, max values: 41.147, median values: 0.27395, and quantile values: 0.25 0.056916\n0.50 0.273950\n0.75 1.024500\nName: 13780, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6814877761105032, std values: 5.19066714067115, min values: 6.8477e-07, max values: 44.443, median values: 0.28716, and quantile values: 0.25 0.079366\n0.50 0.287160\n0.75 1.155600\nName: 13781, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4381016213068551, std values: 4.6951383135531515, min values: 5.7499e-07, max values: 37.751, median values: 0.23424, and quantile values: 0.25 0.057566\n0.50 0.234240\n0.75 0.901035\nName: 13782, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.549130894528868, std values: 5.078263230670369, min values: 9.2149e-07, max values: 42.536, median values: 0.22919, and quantile values: 0.25 0.064486\n0.50 0.229190\n0.75 0.976095\nName: 13783, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5841097511704405, std values: 5.447189772308648, min values: 1.4922e-06, max values: 48.819, median values: 0.22233, and quantile values: 0.25 0.063677\n0.50 0.222330\n0.75 0.924455\nName: 13784, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2334976168540879, std values: 4.500663133109001, min values: 1.192e-06, max values: 37.76, median values: 0.16718, and quantile values: 0.25 0.053377\n0.50 0.167180\n0.75 0.653585\nName: 13785, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4583833974576101, std values: 4.768958015197871, min values: 2.5246e-07, max values: 37.535, median values: 0.20992, and quantile values: 0.25 0.061165\n0.50 0.209920\n0.75 0.911380\nName: 13786, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5563083324204403, std values: 4.99278949662454, min values: 4.6105e-07, max values: 41.014, median values: 0.18045, and quantile values: 0.25 0.050499\n0.50 0.180450\n0.75 0.883520\nName: 13787, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5351113733182387, std values: 4.999279454341016, min values: 1.3944e-06, max values: 39.86, median values: 0.22608, and quantile values: 0.25 0.069658\n0.50 0.226080\n0.75 0.990510\nName: 13788, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7511420163245284, std values: 5.282176307202742, min values: 3.0158e-06, max values: 43.609, median values: 0.29384, and quantile values: 0.25 0.080979\n0.50 0.293840\n0.75 1.222550\nName: 13789, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3920493487946732, std values: 4.43930204978122, min values: 8.3653e-08, max values: 36.391, median values: 0.20261, and quantile values: 0.25 0.057115\n0.50 0.202610\n0.75 0.854915\nName: 13790, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6410303783988742, std values: 5.10812981789951, min values: 3.4211e-08, max values: 43.448, median values: 0.21414, and quantile values: 0.25 0.054557\n0.50 0.214140\n0.75 1.145700\nName: 13791, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.520040897464088, std values: 4.943283006108295, min values: 0.0, max values: 39.924, median values: 0.21732, and quantile values: 0.25 0.061677\n0.50 0.217320\n0.75 1.018605\nName: 13792, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2760571150056603, std values: 4.754881852153805, min values: 6.194e-07, max values: 38.947, median values: 0.1468, and quantile values: 0.25 0.047325\n0.50 0.146800\n0.75 0.634070\nName: 13793, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4528311455025156, std values: 4.940740299397566, min values: 2.3051e-06, max values: 39.461, median values: 0.20985, and quantile values: 0.25 0.069653\n0.50 0.209850\n0.75 0.869820\nName: 13794, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4456825629461636, std values: 4.640610082436499, min values: 3.6124e-07, max values: 36.945, median values: 0.24113, and quantile values: 0.25 0.056712\n0.50 0.241130\n0.75 0.866465\nName: 13795, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3355710611514464, std values: 4.822843047457833, min values: 2.5405e-07, max values: 40.641, median values: 0.16468, and quantile values: 0.25 0.048389\n0.50 0.164680\n0.75 0.692475\nName: 13796, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4536971426591194, std values: 5.093898392942869, min values: 3.528e-06, max values: 42.336, median values: 0.19214, and quantile values: 0.25 0.063519\n0.50 0.192140\n0.75 0.799745\nName: 13797, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4699441554144652, std values: 4.976712846797707, min values: 2.1653e-06, max values: 39.923, median values: 0.20015, and quantile values: 0.25 0.059110\n0.50 0.200150\n0.75 0.877515\nName: 13798, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3166218585050313, std values: 4.58928500471917, min values: 5.917e-07, max values: 37.74, median values: 0.18136, and quantile values: 0.25 0.053666\n0.50 0.181360\n0.75 0.771525\nName: 13799, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4596403292794968, std values: 4.6600944286921235, min values: 6.4084e-07, max values: 37.834, median values: 0.24217, and quantile values: 0.25 0.065493\n0.50 0.242170\n0.75 0.946915\nName: 13800, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5056613376949686, std values: 4.879499071899271, min values: 1.3906e-06, max values: 39.125, median values: 0.21392, and quantile values: 0.25 0.060421\n0.50 0.213920\n0.75 0.900660\nName: 13801, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6461674397745472, std values: 5.1756694228431686, min values: 9.3853e-08, max values: 44.585, median values: 0.26536, and quantile values: 0.25 0.065808\n0.50 0.265360\n0.75 1.113200\nName: 13802, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5151529367778616, std values: 5.0169972165440235, min values: 9.1098e-07, max values: 41.016, median values: 0.22742, and quantile values: 0.25 0.064725\n0.50 0.227420\n0.75 0.936820\nName: 13803, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.884584743918868, std values: 5.486305011290594, min values: 4.0039e-06, max values: 44.581, median values: 0.28958, and quantile values: 0.25 0.080867\n0.50 0.289580\n0.75 1.229600\nName: 13804, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4977074063940878, std values: 4.614785328892783, min values: 8.5426e-07, max values: 37.282, median values: 0.19884, and quantile values: 0.25 0.053842\n0.50 0.198840\n0.75 0.928190\nName: 13805, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6834406604798742, std values: 4.946359772648117, min values: 2.4401e-06, max values: 39.246, median values: 0.28088, and quantile values: 0.25 0.083977\n0.50 0.280880\n0.75 1.165900\nName: 13806, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2883910267144654, std values: 4.708559725920177, min values: 1.0373e-06, max values: 37.804, median values: 0.17385, and quantile values: 0.25 0.051883\n0.50 0.173850\n0.75 0.665405\nName: 13807, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7556130680622641, std values: 5.3067614166367605, min values: 7.3109e-06, max values: 41.43, median values: 0.29542, and quantile values: 0.25 0.078713\n0.50 0.295420\n0.75 1.014980\nName: 13808, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5440536452830187, std values: 4.815563063677089, min values: 1.4126e-06, max values: 38.784, median values: 0.2237, and quantile values: 0.25 0.067291\n0.50 0.223700\n0.75 0.994440\nName: 13809, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3457885527325788, std values: 5.1102253512726765, min values: 6.7838e-07, max values: 44.6, median values: 0.17999, and quantile values: 0.25 0.050802\n0.50 0.179990\n0.75 0.768590\nName: 13810, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.526282094118868, std values: 4.675245827181076, min values: 1.2735e-06, max values: 38.215, median values: 0.2448, and quantile values: 0.25 0.070494\n0.50 0.244800\n0.75 1.043850\nName: 13811, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2812594877540877, std values: 4.714411451414483, min values: 1.0259e-06, max values: 37.799, median values: 0.18152, and quantile values: 0.25 0.059408\n0.50 0.181520\n0.75 0.667805\nName: 13812, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3900978673911946, std values: 4.76617654036185, min values: 1.0695e-06, max values: 37.783, median values: 0.20112, and quantile values: 0.25 0.060289\n0.50 0.201120\n0.75 0.810530\nName: 13813, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3752809000018236, std values: 4.707741822943425, min values: 3.4899e-07, max values: 37.878, median values: 0.20343, and quantile values: 0.25 0.054222\n0.50 0.203430\n0.75 0.834630\nName: 13814, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3748904837094338, std values: 4.769843679193542, min values: 3.004e-06, max values: 39.582, median values: 0.2075, and quantile values: 0.25 0.06196\n0.50 0.20750\n0.75 0.73670\nName: 13815, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2047413880124527, std values: 4.7353031771218825, min values: 4.8858e-07, max values: 38.395, median values: 0.12629, and quantile values: 0.25 0.034089\n0.50 0.126290\n0.75 0.590415\nName: 13816, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6016966568591195, std values: 5.01388934704813, min values: 3.7615e-06, max values: 40.25, median values: 0.25688, and quantile values: 0.25 0.071475\n0.50 0.256880\n0.75 1.015700\nName: 13817, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3880685783968554, std values: 4.951808368103097, min values: 1.785e-06, max values: 40.392, median values: 0.19959, and quantile values: 0.25 0.059554\n0.50 0.199590\n0.75 0.794920\nName: 13818, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.374266059691195, std values: 4.885297273370751, min values: 3.5946e-06, max values: 41.999, median values: 0.1973, and quantile values: 0.25 0.051771\n0.50 0.197300\n0.75 0.710505\nName: 13819, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6359286396761008, std values: 5.301418136688942, min values: 4.6991e-06, max values: 43.18, median values: 0.26901, and quantile values: 0.25 0.076767\n0.50 0.269010\n0.75 0.918845\nName: 13820, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.429438314037736, std values: 5.127370626252847, min values: 3.5005e-06, max values: 42.048, median values: 0.21061, and quantile values: 0.25 0.059855\n0.50 0.210610\n0.75 0.758625\nName: 13821, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4226116306310064, std values: 4.858869896125865, min values: 4.2123e-07, max values: 39.888, median values: 0.23828, and quantile values: 0.25 0.063096\n0.50 0.238280\n0.75 0.868655\nName: 13822, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4353777634709435, std values: 4.822952976354984, min values: 5.5518e-07, max values: 39.52, median values: 0.21921, and quantile values: 0.25 0.054829\n0.50 0.219210\n0.75 0.824035\nName: 13823, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3528322788393146, std values: 4.677662837036148, min values: 1.926e-08, max values: 38.398, median values: 0.16466, and quantile values: 0.25 0.036580\n0.50 0.164660\n0.75 0.752105\nName: 13824, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.105572090487547, std values: 4.338508103771301, min values: 2.7968e-07, max values: 36.625, median values: 0.13131, and quantile values: 0.25 0.041248\n0.50 0.131310\n0.75 0.533320\nName: 13825, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3736647923295597, std values: 4.957603527925874, min values: 3.4452e-06, max values: 40.22, median values: 0.18223, and quantile values: 0.25 0.053518\n0.50 0.182230\n0.75 0.701360\nName: 13826, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4361265891522013, std values: 4.913609109781849, min values: 4.6347e-06, max values: 40.417, median values: 0.21974, and quantile values: 0.25 0.068119\n0.50 0.219740\n0.75 0.721165\nName: 13827, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5517364075605662, std values: 4.95931036714665, min values: 4.7743e-07, max values: 40.486, median values: 0.24144, and quantile values: 0.25 0.060948\n0.50 0.241440\n0.75 1.001860\nName: 13828, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6581456177866039, std values: 5.287880985489346, min values: 4.0827e-07, max values: 46.024, median values: 0.25139, and quantile values: 0.25 0.063071\n0.50 0.251390\n0.75 1.007540\nName: 13829, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3771527468704403, std values: 4.901933724829419, min values: 5.448e-07, max values: 40.076, median values: 0.20244, and quantile values: 0.25 0.058825\n0.50 0.202440\n0.75 0.786110\nName: 13830, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.626621791946541, std values: 4.9373691715076795, min values: 2.3357e-06, max values: 38.903, median values: 0.24722, and quantile values: 0.25 0.068603\n0.50 0.247220\n0.75 1.045600\nName: 13831, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4078588551171067, std values: 4.951562768485394, min values: 4.1602e-07, max values: 41.424, median values: 0.20351, and quantile values: 0.25 0.062021\n0.50 0.203510\n0.75 0.779670\nName: 13832, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5764465785742139, std values: 4.9332606011796685, min values: 1.3755e-06, max values: 38.912, median values: 0.25157, and quantile values: 0.25 0.068531\n0.50 0.251570\n0.75 1.050450\nName: 13833, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5394838353854716, std values: 4.935352400817516, min values: 1.3609e-07, max values: 39.848, median values: 0.25537, and quantile values: 0.25 0.063883\n0.50 0.255370\n0.75 0.955855\nName: 13834, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6844159962327043, std values: 5.322709667878649, min values: 3.5561e-06, max values: 44.583, median values: 0.27327, and quantile values: 0.25 0.077633\n0.50 0.273270\n0.75 1.079800\nName: 13835, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4435077770472955, std values: 4.855270587681993, min values: 4.5662e-07, max values: 39.797, median values: 0.22796, and quantile values: 0.25 0.064485\n0.50 0.227960\n0.75 0.858970\nName: 13836, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.492500207288679, std values: 4.88473128122725, min values: 4.3409e-06, max values: 40.123, median values: 0.22851, and quantile values: 0.25 0.073876\n0.50 0.228510\n0.75 0.882700\nName: 13837, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3697030500824527, std values: 4.888209831836715, min values: 3.5251e-07, max values: 40.648, median values: 0.17943, and quantile values: 0.25 0.05768\n0.50 0.17943\n0.75 0.79094\nName: 13838, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5228445973383646, std values: 4.807778472955136, min values: 3.7852e-06, max values: 40.38, median values: 0.23887, and quantile values: 0.25 0.075121\n0.50 0.238870\n0.75 0.891225\nName: 13839, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4233919989987422, std values: 5.02824584294527, min values: 2.8502e-06, max values: 40.779, median values: 0.19546, and quantile values: 0.25 0.061904\n0.50 0.195460\n0.75 0.799065\nName: 13840, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5015474340792454, std values: 4.969067072078877, min values: 1.6957e-06, max values: 40.13, median values: 0.23768, and quantile values: 0.25 0.055853\n0.50 0.237680\n0.75 0.913450\nName: 13841, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.429934583609434, std values: 4.878890388882441, min values: 1.0229e-06, max values: 38.965, median values: 0.21236, and quantile values: 0.25 0.061727\n0.50 0.212360\n0.75 0.839400\nName: 13842, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3857165294437734, std values: 4.73136412829272, min values: 7.3876e-07, max values: 38.207, median values: 0.20787, and quantile values: 0.25 0.052298\n0.50 0.207870\n0.75 0.791025\nName: 13843, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5538501199742139, std values: 4.861531897679081, min values: 2.6782e-06, max values: 39.68, median values: 0.28322, and quantile values: 0.25 0.078122\n0.50 0.283220\n0.75 0.963750\nName: 13844, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2803711311788049, std values: 4.851529339467265, min values: 5.7753e-07, max values: 40.304, median values: 0.13678, and quantile values: 0.25 0.044093\n0.50 0.136780\n0.75 0.643975\nName: 13845, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4267342264502265, std values: 5.091238336912853, min values: 2.0886e-08, max values: 44.884, median values: 0.16715, and quantile values: 0.25 0.03734\n0.50 0.16715\n0.75 0.73210\nName: 13846, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.436963503319497, std values: 5.175050512623888, min values: 2.8867e-06, max values: 43.605, median values: 0.20044, and quantile values: 0.25 0.063546\n0.50 0.200440\n0.75 0.766575\nName: 13847, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5528647635050314, std values: 4.949384915721203, min values: 2.3978e-06, max values: 39.086, median values: 0.24138, and quantile values: 0.25 0.063497\n0.50 0.241380\n0.75 1.003535\nName: 13848, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5057835226484277, std values: 4.947626143392534, min values: 2.1307e-06, max values: 39.217, median values: 0.24394, and quantile values: 0.25 0.075349\n0.50 0.243940\n0.75 0.903320\nName: 13849, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.370744712431698, std values: 4.976196597137347, min values: 6.1534e-07, max values: 41.521, median values: 0.17191, and quantile values: 0.25 0.050999\n0.50 0.171910\n0.75 0.772065\nName: 13850, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6256549270251568, std values: 5.0916841299349755, min values: 4.5711e-06, max values: 40.378, median values: 0.2827, and quantile values: 0.25 0.078391\n0.50 0.282700\n0.75 0.933045\nName: 13851, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1127255298460377, std values: 4.6062530060011735, min values: 5.9042e-07, max values: 37.977, median values: 0.12983, and quantile values: 0.25 0.03874\n0.50 0.12983\n0.75 0.52970\nName: 13852, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.536159977069874, std values: 4.761801445802467, min values: 8.3101e-07, max values: 38.085, median values: 0.22427, and quantile values: 0.25 0.063771\n0.50 0.224270\n0.75 1.010400\nName: 13853, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7145703027189936, std values: 5.338224434421726, min values: 1.6532e-07, max values: 46.479, median values: 0.25142, and quantile values: 0.25 0.065377\n0.50 0.251420\n0.75 1.201300\nName: 13854, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5350432721427671, std values: 5.081788660032476, min values: 3.0652e-06, max values: 40.817, median values: 0.25791, and quantile values: 0.25 0.067533\n0.50 0.257910\n0.75 0.890270\nName: 13855, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6713271193993715, std values: 5.365403763886122, min values: 1.5379e-06, max values: 46.804, median values: 0.27804, and quantile values: 0.25 0.075060\n0.50 0.278040\n0.75 0.992375\nName: 13856, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3311818917217422, std values: 4.705892849359693, min values: 8.8507e-08, max values: 37.573, median values: 0.15414, and quantile values: 0.25 0.038925\n0.50 0.154140\n0.75 0.717560\nName: 13857, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3817119786287357, std values: 4.738855114608426, min values: 2.5789e-08, max values: 38.556, median values: 0.20065, and quantile values: 0.25 0.040977\n0.50 0.200650\n0.75 0.778525\nName: 13858, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4526061111408803, std values: 4.831525478076745, min values: 3.5249e-06, max values: 38.491, median values: 0.22566, and quantile values: 0.25 0.067411\n0.50 0.225660\n0.75 0.811970\nName: 13859, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8338181038314467, std values: 5.409970158201083, min values: 3.5278e-06, max values: 44.47, median values: 0.3334, and quantile values: 0.25 0.08191\n0.50 0.33340\n0.75 1.26150\nName: 13860, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5283465876113207, std values: 5.099605616306436, min values: 3.0921e-06, max values: 41.661, median values: 0.23382, and quantile values: 0.25 0.069453\n0.50 0.233820\n0.75 0.903940\nName: 13861, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3565147056188676, std values: 4.7843594009095805, min values: 4.1539e-07, max values: 39.187, median values: 0.14925, and quantile values: 0.25 0.049808\n0.50 0.149250\n0.75 0.732695\nName: 13862, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.559868907787346, std values: 4.965345988640288, min values: 3.5948e-08, max values: 41.596, median values: 0.19604, and quantile values: 0.25 0.048037\n0.50 0.196040\n0.75 1.007560\nName: 13863, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4616826091822201, std values: 4.913746133168354, min values: 3.1503e-08, max values: 41.838, median values: 0.1962, and quantile values: 0.25 0.044231\n0.50 0.196200\n0.75 0.892465\nName: 13864, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7841880674084276, std values: 5.4819063974861555, min values: 8.5314e-07, max values: 48.441, median values: 0.26628, and quantile values: 0.25 0.069309\n0.50 0.266280\n0.75 1.151000\nName: 13865, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3371477185325786, std values: 4.698070740056318, min values: 4.1448e-07, max values: 38.674, median values: 0.18904, and quantile values: 0.25 0.048272\n0.50 0.189040\n0.75 0.746895\nName: 13866, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6182998423874215, std values: 5.067533039625947, min values: 4.5356e-06, max values: 40.459, median values: 0.2724, and quantile values: 0.25 0.073388\n0.50 0.272400\n0.75 0.930235\nName: 13867, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3469811039396227, std values: 4.602981347485097, min values: 1.0419e-06, max values: 38.371, median values: 0.1861, and quantile values: 0.25 0.062253\n0.50 0.186100\n0.75 0.751225\nName: 13868, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4800346261268802, std values: 4.967824019033211, min values: 2.2474e-08, max values: 42.269, median values: 0.21328, and quantile values: 0.25 0.051566\n0.50 0.213280\n0.75 0.832710\nName: 13869, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4675944287942766, std values: 5.0763527286506305, min values: 2.5979e-07, max values: 43.849, median values: 0.20496, and quantile values: 0.25 0.060894\n0.50 0.204960\n0.75 0.895285\nName: 13870, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4230417462089937, std values: 5.0631574491339535, min values: 9.1263e-07, max values: 42.909, median values: 0.17529, and quantile values: 0.25 0.057255\n0.50 0.175290\n0.75 0.807095\nName: 13871, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5284531263188679, std values: 5.005947378073952, min values: 1.7455e-06, max values: 40.391, median values: 0.23943, and quantile values: 0.25 0.074393\n0.50 0.239430\n0.75 0.889195\nName: 13872, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5314993629016982, std values: 4.952488913623966, min values: 4.2667e-07, max values: 41.005, median values: 0.19413, and quantile values: 0.25 0.060291\n0.50 0.194130\n0.75 0.881050\nName: 13873, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3515225561276731, std values: 4.837081205616025, min values: 1.769e-06, max values: 39.467, median values: 0.17705, and quantile values: 0.25 0.05278\n0.50 0.17705\n0.75 0.77319\nName: 13874, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5218273595949685, std values: 4.834270989627691, min values: 1.7135e-06, max values: 39.124, median values: 0.23849, and quantile values: 0.25 0.068965\n0.50 0.238490\n0.75 0.997930\nName: 13875, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2604843677583017, std values: 4.548490368615828, min values: 9.0557e-07, max values: 37.704, median values: 0.14838, and quantile values: 0.25 0.052199\n0.50 0.148380\n0.75 0.646895\nName: 13876, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8063322093301888, std values: 5.363165492447494, min values: 7.5185e-06, max values: 41.859, median values: 0.30611, and quantile values: 0.25 0.088636\n0.50 0.306110\n0.75 1.093700\nName: 13877, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.523149487978616, std values: 5.012599293678529, min values: 1.0765e-06, max values: 40.958, median values: 0.22072, and quantile values: 0.25 0.067246\n0.50 0.220720\n0.75 0.906845\nName: 13878, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4738601929762893, std values: 5.1428657981262385, min values: 4.3263e-07, max values: 44.629, median values: 0.2096, and quantile values: 0.25 0.061754\n0.50 0.209600\n0.75 0.894585\nName: 13879, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3229667452993081, std values: 4.618026753505234, min values: 9.7099e-07, max values: 38.519, median values: 0.19886, and quantile values: 0.25 0.058065\n0.50 0.198860\n0.75 0.764065\nName: 13880, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4151299221363145, std values: 4.778763008383632, min values: 1.7564e-08, max values: 38.514, median values: 0.20051, and quantile values: 0.25 0.048932\n0.50 0.200510\n0.75 0.817855\nName: 13881, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3329381200339623, std values: 4.763753469092205, min values: 1.7501e-06, max values: 39.371, median values: 0.18625, and quantile values: 0.25 0.058404\n0.50 0.186250\n0.75 0.831820\nName: 13882, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.421134868754717, std values: 4.732825128771996, min values: 2.192e-06, max values: 38.845, median values: 0.23245, and quantile values: 0.25 0.066613\n0.50 0.232450\n0.75 0.858810\nName: 13883, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.367649468563082, std values: 4.789573348754419, min values: 6.1613e-07, max values: 38.299, median values: 0.19025, and quantile values: 0.25 0.052959\n0.50 0.190250\n0.75 0.804435\nName: 13884, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6211054282566038, std values: 5.098953506434396, min values: 1.1073e-06, max values: 42.001, median values: 0.23981, and quantile values: 0.25 0.066327\n0.50 0.239810\n0.75 1.050210\nName: 13885, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3433562871844027, std values: 4.982240095596076, min values: 9.5432e-07, max values: 41.282, median values: 0.16691, and quantile values: 0.25 0.051091\n0.50 0.166910\n0.75 0.788580\nName: 13886, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4116507309220754, std values: 4.887374578973858, min values: 3.4621e-07, max values: 40.38, median values: 0.20273, and quantile values: 0.25 0.050696\n0.50 0.202730\n0.75 0.773250\nName: 13887, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2967115090194972, std values: 4.652689189320021, min values: 1.5292e-06, max values: 39.142, median values: 0.17931, and quantile values: 0.25 0.055226\n0.50 0.179310\n0.75 0.730470\nName: 13888, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7980179119635222, std values: 5.042009968093896, min values: 3.2516e-06, max values: 39.755, median values: 0.30722, and quantile values: 0.25 0.078873\n0.50 0.307220\n0.75 1.361300\nName: 13889, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6107613272132075, std values: 5.045996116327725, min values: 3.1895e-06, max values: 39.854, median values: 0.28559, and quantile values: 0.25 0.075526\n0.50 0.285590\n0.75 0.932890\nName: 13890, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.435288411746541, std values: 5.073715212101988, min values: 1.685e-06, max values: 42.596, median values: 0.20934, and quantile values: 0.25 0.063569\n0.50 0.209340\n0.75 0.859535\nName: 13891, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5354749630614466, std values: 4.837622411587024, min values: 5.3307e-07, max values: 37.943, median values: 0.21948, and quantile values: 0.25 0.063478\n0.50 0.219480\n0.75 0.951885\nName: 13892, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8858985521515725, std values: 5.643150258968626, min values: 8.5191e-06, max values: 44.698, median values: 0.34216, and quantile values: 0.25 0.090337\n0.50 0.342160\n0.75 1.103150\nName: 13893, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.454297250693082, std values: 4.693659851450894, min values: 2.2981e-06, max values: 39.16, median values: 0.22646, and quantile values: 0.25 0.066572\n0.50 0.226460\n0.75 0.920665\nName: 13894, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3857374377410123, std values: 4.922718811938402, min values: 1.7591e-08, max values: 41.612, median values: 0.17243, and quantile values: 0.25 0.039817\n0.50 0.172430\n0.75 0.750665\nName: 13895, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3582490811067927, std values: 4.876004079747309, min values: 4.2288e-07, max values: 40.317, median values: 0.19935, and quantile values: 0.25 0.052629\n0.50 0.199350\n0.75 0.733535\nName: 13896, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4945256438306416, std values: 4.909389472729642, min values: 3.5422e-08, max values: 40.848, median values: 0.19614, and quantile values: 0.25 0.044067\n0.50 0.196140\n0.75 0.943775\nName: 13897, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4062272623509435, std values: 4.911033996240987, min values: 1.3722e-06, max values: 39.329, median values: 0.21104, and quantile values: 0.25 0.059736\n0.50 0.211040\n0.75 0.863370\nName: 13898, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3982792075584904, std values: 4.88522376468012, min values: 1.5408e-06, max values: 39.669, median values: 0.20516, and quantile values: 0.25 0.055793\n0.50 0.205160\n0.75 0.820885\nName: 13899, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.685551906938994, std values: 5.100238394608383, min values: 2.0089e-06, max values: 41.279, median values: 0.27337, and quantile values: 0.25 0.080562\n0.50 0.273370\n0.75 1.142200\nName: 13900, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4757976390006289, std values: 4.9175466352966914, min values: 2.7473e-06, max values: 40.196, median values: 0.24439, and quantile values: 0.25 0.072218\n0.50 0.244390\n0.75 0.848515\nName: 13901, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.59638997785283, std values: 5.1383309175786644, min values: 1.4795e-06, max values: 42.67, median values: 0.2826, and quantile values: 0.25 0.071687\n0.50 0.282600\n0.75 0.970095\nName: 13902, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.353880493516415, std values: 4.895839435113885, min values: 4.8461e-07, max values: 41.672, median values: 0.21331, and quantile values: 0.25 0.056500\n0.50 0.213310\n0.75 0.771965\nName: 13903, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4117209875674213, std values: 4.820394305318217, min values: 2.9462e-07, max values: 39.602, median values: 0.21053, and quantile values: 0.25 0.063331\n0.50 0.210530\n0.75 0.849105\nName: 13904, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.442526616889308, std values: 4.815668142162663, min values: 1.1342e-06, max values: 38.443, median values: 0.22991, and quantile values: 0.25 0.062463\n0.50 0.229910\n0.75 0.950785\nName: 13905, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4260262845096856, std values: 4.690461613451984, min values: 4.9984e-07, max values: 37.244, median values: 0.22372, and quantile values: 0.25 0.067347\n0.50 0.223720\n0.75 0.866540\nName: 13906, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.544032584867044, std values: 4.946476511931713, min values: 7.4296e-07, max values: 39.66, median values: 0.23221, and quantile values: 0.25 0.064601\n0.50 0.232210\n0.75 0.965445\nName: 13907, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4308592171562895, std values: 5.09428616224977, min values: 1.8945e-07, max values: 44.262, median values: 0.17885, and quantile values: 0.25 0.051917\n0.50 0.178850\n0.75 0.757440\nName: 13908, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.378010655855503, std values: 4.995932686521609, min values: 1.5555e-08, max values: 44.028, median values: 0.17292, and quantile values: 0.25 0.036597\n0.50 0.172920\n0.75 0.684950\nName: 13909, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.610548958189308, std values: 4.970861535214284, min values: 1.0397e-06, max values: 39.894, median values: 0.27848, and quantile values: 0.25 0.074002\n0.50 0.278480\n0.75 1.072400\nName: 13910, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4368970901498113, std values: 4.882874214950246, min values: 2.7292e-07, max values: 40.284, median values: 0.21162, and quantile values: 0.25 0.057146\n0.50 0.211620\n0.75 0.870105\nName: 13911, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3486892520773586, std values: 4.885150405354176, min values: 2.9077e-06, max values: 40.422, median values: 0.20438, and quantile values: 0.25 0.061405\n0.50 0.204380\n0.75 0.729570\nName: 13912, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4600087423050314, std values: 4.912527413392918, min values: 2.4372e-06, max values: 39.535, median values: 0.21329, and quantile values: 0.25 0.068834\n0.50 0.213290\n0.75 0.895945\nName: 13913, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4674323982245283, std values: 4.898093598669703, min values: 2.0101e-06, max values: 39.601, median values: 0.22073, and quantile values: 0.25 0.068553\n0.50 0.220730\n0.75 0.898105\nName: 13914, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.67206073521761, std values: 5.270442700470114, min values: 5.2569e-06, max values: 42.965, median values: 0.26072, and quantile values: 0.25 0.075818\n0.50 0.260720\n0.75 0.984645\nName: 13915, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6261741739182392, std values: 5.0666121707580976, min values: 2.3961e-06, max values: 40.966, median values: 0.2704, and quantile values: 0.25 0.071804\n0.50 0.270400\n0.75 1.116450\nName: 13916, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5201310966316353, std values: 4.7572433476866705, min values: 9.2673e-07, max values: 38.492, median values: 0.23722, and quantile values: 0.25 0.062526\n0.50 0.237220\n0.75 0.959410\nName: 13917, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6257922176890816, std values: 4.930810689919336, min values: 2.7174e-08, max values: 39.78, median values: 0.2289, and quantile values: 0.25 0.054363\n0.50 0.228900\n0.75 1.105000\nName: 13918, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5879132918886794, std values: 5.407754710971066, min values: 7.0634e-06, max values: 44.066, median values: 0.23295, and quantile values: 0.25 0.061865\n0.50 0.232950\n0.75 0.872775\nName: 13919, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.274346219944088, std values: 4.695458464716685, min values: 6.6141e-07, max values: 37.491, median values: 0.15042, and quantile values: 0.25 0.049964\n0.50 0.150420\n0.75 0.645735\nName: 13920, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4726415087270062, std values: 4.916574997989138, min values: 3.2794e-08, max values: 40.629, median values: 0.22569, and quantile values: 0.25 0.062016\n0.50 0.225690\n0.75 0.860050\nName: 13921, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6297903990188678, std values: 5.097450107393414, min values: 2.61e-06, max values: 41.043, median values: 0.26245, and quantile values: 0.25 0.077142\n0.50 0.262450\n0.75 1.079350\nName: 13922, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.514754380028805, std values: 4.893308229358831, min values: 8.3158e-07, max values: 39.511, median values: 0.23847, and quantile values: 0.25 0.057331\n0.50 0.238470\n0.75 0.953345\nName: 13923, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5496406206893711, std values: 4.93282040761389, min values: 2.3271e-07, max values: 40.457, median values: 0.23639, and quantile values: 0.25 0.061929\n0.50 0.236390\n0.75 0.978975\nName: 13924, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.481356499625786, std values: 4.936509415872075, min values: 2.6986e-06, max values: 39.423, median values: 0.25829, and quantile values: 0.25 0.069706\n0.50 0.258290\n0.75 0.851025\nName: 13925, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3981563976666669, std values: 4.726718530449868, min values: 4.7791e-06, max values: 40.222, median values: 0.21599, and quantile values: 0.25 0.065147\n0.50 0.215990\n0.75 0.723845\nName: 13926, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.406289008862893, std values: 5.215673616601138, min values: 3.3228e-06, max values: 43.502, median values: 0.19879, and quantile values: 0.25 0.060761\n0.50 0.198790\n0.75 0.660665\nName: 13927, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3687942842371068, std values: 5.003242065016544, min values: 1.2057e-06, max values: 41.993, median values: 0.19262, and quantile values: 0.25 0.052803\n0.50 0.192620\n0.75 0.716580\nName: 13928, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.179418714946126, std values: 4.628117601224169, min values: 8.0054e-08, max values: 37.846, median values: 0.13293, and quantile values: 0.25 0.031251\n0.50 0.132930\n0.75 0.551210\nName: 13929, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.357118007515409, std values: 4.7099578019991535, min values: 8.7385e-07, max values: 37.482, median values: 0.17462, and quantile values: 0.25 0.055955\n0.50 0.174620\n0.75 0.817065\nName: 13930, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4182204176657232, std values: 4.891516013133065, min values: 6.8475e-07, max values: 39.761, median values: 0.20615, and quantile values: 0.25 0.056340\n0.50 0.206150\n0.75 0.867005\nName: 13931, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.551540115598742, std values: 5.425981550972131, min values: 1.373e-06, max values: 49.177, median values: 0.24796, and quantile values: 0.25 0.069024\n0.50 0.247960\n0.75 0.874445\nName: 13932, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.413469994607547, std values: 5.225722520299375, min values: 4.6755e-06, max values: 42.626, median values: 0.18853, and quantile values: 0.25 0.053977\n0.50 0.188530\n0.75 0.636605\nName: 13933, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8636511806245282, std values: 5.466612644318754, min values: 1.9376e-06, max values: 46.682, median values: 0.31826, and quantile values: 0.25 0.08639\n0.50 0.31826\n0.75 1.30925\nName: 13934, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.559370454509434, std values: 4.919665549164725, min values: 1.4678e-06, max values: 39.231, median values: 0.24137, and quantile values: 0.25 0.065036\n0.50 0.241370\n0.75 1.062700\nName: 13935, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4158622595371066, std values: 5.03590041070334, min values: 1.7911e-06, max values: 42.181, median values: 0.21315, and quantile values: 0.25 0.059464\n0.50 0.213150\n0.75 0.792195\nName: 13936, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5115866457075473, std values: 4.873653563998448, min values: 2.0771e-06, max values: 39.091, median values: 0.25069, and quantile values: 0.25 0.072460\n0.50 0.250690\n0.75 0.953865\nName: 13937, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5766365891968552, std values: 5.144518702304419, min values: 2.0946e-06, max values: 42.28, median values: 0.26833, and quantile values: 0.25 0.065213\n0.50 0.268330\n0.75 1.003545\nName: 13938, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5325613526383646, std values: 5.084632210685245, min values: 2.13e-06, max values: 42.138, median values: 0.22721, and quantile values: 0.25 0.069471\n0.50 0.227210\n0.75 0.739385\nName: 13939, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4171500906716978, std values: 4.899134069025022, min values: 2.7424e-06, max values: 39.738, median values: 0.20594, and quantile values: 0.25 0.062816\n0.50 0.205940\n0.75 0.858040\nName: 13940, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7687239308867924, std values: 5.382031271090541, min values: 1.1121e-06, max values: 46.597, median values: 0.31894, and quantile values: 0.25 0.08475\n0.50 0.31894\n0.75 1.18295\nName: 13941, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.724546131865346, std values: 5.416459429655874, min values: 3.0299e-07, max values: 48.104, median values: 0.28125, and quantile values: 0.25 0.075539\n0.50 0.281250\n0.75 1.088250\nName: 13942, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3469993709301884, std values: 4.800842158184835, min values: 1.4032e-06, max values: 39.035, median values: 0.17541, and quantile values: 0.25 0.054156\n0.50 0.175410\n0.75 0.753505\nName: 13943, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6739836342864847, std values: 4.926737282820323, min values: 2.4941e-08, max values: 39.658, median values: 0.26119, and quantile values: 0.25 0.05830\n0.50 0.26119\n0.75 1.12415\nName: 13944, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4806958841549056, std values: 4.85432431750826, min values: 1.9163e-07, max values: 39.997, median values: 0.23099, and quantile values: 0.25 0.061936\n0.50 0.230990\n0.75 0.886310\nName: 13945, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5882763926937107, std values: 5.022263663354529, min values: 1.306e-06, max values: 39.926, median values: 0.24294, and quantile values: 0.25 0.070383\n0.50 0.242940\n0.75 0.984655\nName: 13946, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5241461206825788, std values: 4.822699912437135, min values: 9.1923e-07, max values: 38.191, median values: 0.22921, and quantile values: 0.25 0.06298\n0.50 0.22921\n0.75 0.99126\nName: 13947, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4921269004559747, std values: 4.715178397855302, min values: 2.0594e-06, max values: 38.597, median values: 0.23816, and quantile values: 0.25 0.069783\n0.50 0.238160\n0.75 0.953385\nName: 13948, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5768717175226417, std values: 4.933322801154187, min values: 1.6465e-06, max values: 39.077, median values: 0.25005, and quantile values: 0.25 0.071954\n0.50 0.250050\n0.75 1.017125\nName: 13949, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.399835639448113, std values: 4.784382930865289, min values: 2.3842e-07, max values: 39.364, median values: 0.19955, and quantile values: 0.25 0.050037\n0.50 0.199550\n0.75 0.763740\nName: 13950, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3454649635628932, std values: 4.861124508508418, min values: 2.3887e-06, max values: 39.844, median values: 0.2032, and quantile values: 0.25 0.056854\n0.50 0.203200\n0.75 0.718880\nName: 13951, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.684507187483648, std values: 5.225180724927147, min values: 4.3778e-06, max values: 41.199, median values: 0.29263, and quantile values: 0.25 0.075541\n0.50 0.292630\n0.75 0.975170\nName: 13952, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3092596873839937, std values: 4.602542053981193, min values: 1.2085e-08, max values: 37.28, median values: 0.14824, and quantile values: 0.25 0.03923\n0.50 0.14824\n0.75 0.69496\nName: 13953, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.516213379557233, std values: 4.9546057145717235, min values: 1.9173e-06, max values: 39.987, median values: 0.23694, and quantile values: 0.25 0.065860\n0.50 0.236940\n0.75 0.936855\nName: 13954, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.242878055207547, std values: 5.776115659663792, min values: 1.3898e-05, max values: 41.897, median values: 0.39127, and quantile values: 0.25 0.12317\n0.50 0.39127\n0.75 1.50860\nName: 13955, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3648254753377358, std values: 4.805733656939653, min values: 1.6699e-06, max values: 38.764, median values: 0.17815, and quantile values: 0.25 0.052758\n0.50 0.178150\n0.75 0.752600\nName: 13956, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.405167585695723, std values: 4.730811936239781, min values: 2.5152e-07, max values: 37.722, median values: 0.21847, and quantile values: 0.25 0.054122\n0.50 0.218470\n0.75 0.859335\nName: 13957, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3181347768893081, std values: 4.854172036977389, min values: 5.916e-07, max values: 40.257, median values: 0.16931, and quantile values: 0.25 0.058081\n0.50 0.169310\n0.75 0.721085\nName: 13958, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8157710087578618, std values: 5.262425876432038, min values: 5.2339e-06, max values: 40.66, median values: 0.33483, and quantile values: 0.25 0.091871\n0.50 0.334830\n0.75 1.139400\nName: 13959, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5134247271854278, std values: 4.8415351236055155, min values: 3.4283e-08, max values: 39.002, median values: 0.24672, and quantile values: 0.25 0.056682\n0.50 0.246720\n0.75 0.967575\nName: 13960, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5303705630349687, std values: 4.8913912429984885, min values: 4.0516e-07, max values: 38.626, median values: 0.24274, and quantile values: 0.25 0.060042\n0.50 0.242740\n0.75 1.038650\nName: 13961, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3926094313528303, std values: 4.599022648804352, min values: 1.2915e-06, max values: 39.289, median values: 0.20403, and quantile values: 0.25 0.065513\n0.50 0.204030\n0.75 0.854580\nName: 13962, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4854992041257862, std values: 5.175944974724592, min values: 2.4075e-06, max values: 44.037, median values: 0.21873, and quantile values: 0.25 0.068177\n0.50 0.218730\n0.75 0.814950\nName: 13963, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5716765093320753, std values: 5.126306363929718, min values: 3.8927e-06, max values: 41.145, median values: 0.23621, and quantile values: 0.25 0.070573\n0.50 0.236210\n0.75 0.906460\nName: 13964, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.525302743933333, std values: 4.943462200690234, min values: 1.1456e-06, max values: 39.243, median values: 0.21682, and quantile values: 0.25 0.063454\n0.50 0.216820\n0.75 0.976085\nName: 13965, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.0180566512977363, std values: 6.118427918311247, min values: 9.4174e-07, max values: 58.073, median values: 0.36609, and quantile values: 0.25 0.088016\n0.50 0.366090\n0.75 1.415800\nName: 13966, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.380531869767547, std values: 4.876789711908625, min values: 3.6634e-07, max values: 41.023, median values: 0.20006, and quantile values: 0.25 0.054087\n0.50 0.200060\n0.75 0.761410\nName: 13967, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6919047942408807, std values: 4.886062324367523, min values: 3.4563e-06, max values: 39.458, median values: 0.27422, and quantile values: 0.25 0.077448\n0.50 0.274220\n0.75 1.192800\nName: 13968, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3605200546534593, std values: 4.61370404531893, min values: 1.5173e-06, max values: 38.193, median values: 0.21408, and quantile values: 0.25 0.069062\n0.50 0.214080\n0.75 0.735720\nName: 13969, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6668087540755974, std values: 4.9947455577797415, min values: 8.8772e-07, max values: 39.821, median values: 0.23311, and quantile values: 0.25 0.061343\n0.50 0.233110\n0.75 1.091195\nName: 13970, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5496033910679874, std values: 4.96357834831842, min values: 5.1821e-07, max values: 40.285, median values: 0.22692, and quantile values: 0.25 0.053996\n0.50 0.226920\n0.75 0.942290\nName: 13971, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8560706166144654, std values: 5.235740026244225, min values: 2.082e-06, max values: 41.978, median values: 0.33491, and quantile values: 0.25 0.091776\n0.50 0.334910\n0.75 1.336750\nName: 13972, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.702328615461006, std values: 5.132540282443275, min values: 3.9695e-06, max values: 40.144, median values: 0.27204, and quantile values: 0.25 0.07660\n0.50 0.27204\n0.75 1.15325\nName: 13973, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4829047686968553, std values: 4.723969187616414, min values: 2.4214e-06, max values: 39.242, median values: 0.27492, and quantile values: 0.25 0.070025\n0.50 0.274920\n0.75 0.907965\nName: 13974, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5033584290006288, std values: 5.098938206171318, min values: 6.4e-07, max values: 43.28, median values: 0.23425, and quantile values: 0.25 0.065769\n0.50 0.234250\n0.75 0.873720\nName: 13975, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3354927852721319, std values: 4.684705274539421, min values: 2.4959e-08, max values: 37.429, median values: 0.19817, and quantile values: 0.25 0.043514\n0.50 0.198170\n0.75 0.698350\nName: 13976, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5803770971320756, std values: 5.0701202523336635, min values: 3.9877e-06, max values: 40.645, median values: 0.26413, and quantile values: 0.25 0.079295\n0.50 0.264130\n0.75 0.953740\nName: 13977, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4303614923364025, std values: 4.8028500674169905, min values: 2.5388e-08, max values: 38.945, median values: 0.22449, and quantile values: 0.25 0.053594\n0.50 0.224490\n0.75 0.843430\nName: 13978, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1894202126506728, std values: 4.5296311120883646, min values: 7.5997e-08, max values: 36.209, median values: 0.1301, and quantile values: 0.25 0.030237\n0.50 0.130100\n0.75 0.533975\nName: 13979, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.388632343090566, std values: 4.827402077524634, min values: 1.2592e-06, max values: 38.85, median values: 0.20638, and quantile values: 0.25 0.059748\n0.50 0.206380\n0.75 0.805345\nName: 13980, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.460332715066667, std values: 4.823591153002566, min values: 1.452e-06, max values: 39.196, median values: 0.20081, and quantile values: 0.25 0.060181\n0.50 0.200810\n0.75 0.935310\nName: 13981, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6473010539628934, std values: 5.291008031812999, min values: 1.4587e-06, max values: 45.468, median values: 0.26288, and quantile values: 0.25 0.076232\n0.50 0.262880\n0.75 1.049150\nName: 13982, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3148819301404402, std values: 4.735265606441635, min values: 2.2553e-07, max values: 37.897, median values: 0.15799, and quantile values: 0.25 0.041525\n0.50 0.157990\n0.75 0.706860\nName: 13983, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1897511040614466, std values: 4.584301981986499, min values: 7.3827e-07, max values: 37.769, median values: 0.14521, and quantile values: 0.25 0.046659\n0.50 0.145210\n0.75 0.591675\nName: 13984, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8049325157578615, std values: 5.267559202085379, min values: 1.8368e-06, max values: 42.748, median values: 0.28337, and quantile values: 0.25 0.081949\n0.50 0.283370\n0.75 1.306700\nName: 13985, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.004722730232704, std values: 5.969862223973816, min values: 2.6364e-06, max values: 54.532, median values: 0.33623, and quantile values: 0.25 0.098097\n0.50 0.336230\n0.75 1.351950\nName: 13986, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5002377665899371, std values: 4.921784621813211, min values: 3.7337e-06, max values: 39.821, median values: 0.22745, and quantile values: 0.25 0.070819\n0.50 0.227450\n0.75 0.950975\nName: 13987, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4256611273770314, std values: 5.100477994562273, min values: 7.7968e-08, max values: 44.808, median values: 0.18293, and quantile values: 0.25 0.048108\n0.50 0.182930\n0.75 0.754985\nName: 13988, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5493412788191194, std values: 5.097263345286475, min values: 6.8794e-07, max values: 43.319, median values: 0.2294, and quantile values: 0.25 0.062963\n0.50 0.229400\n0.75 0.969910\nName: 13989, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4579812074150942, std values: 4.805677616596468, min values: 1.1032e-06, max values: 38.477, median values: 0.23514, and quantile values: 0.25 0.061366\n0.50 0.235140\n0.75 0.849900\nName: 13990, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.673069469437736, std values: 5.132339648931556, min values: 2.408e-06, max values: 41.593, median values: 0.27698, and quantile values: 0.25 0.073971\n0.50 0.276980\n0.75 1.102000\nName: 13991, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.393841385273585, std values: 4.776376682141473, min values: 2.0012e-06, max values: 39.448, median values: 0.21615, and quantile values: 0.25 0.065666\n0.50 0.216150\n0.75 0.797570\nName: 13992, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4491819193778617, std values: 4.851252582131892, min values: 4.1868e-07, max values: 39.068, median values: 0.22002, and quantile values: 0.25 0.065078\n0.50 0.220020\n0.75 0.869735\nName: 13993, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.476138969381761, std values: 4.926845436777158, min values: 2.7945e-06, max values: 39.701, median values: 0.22945, and quantile values: 0.25 0.065512\n0.50 0.229450\n0.75 0.867285\nName: 13994, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3501379273515723, std values: 4.599271687179848, min values: 1.6478e-06, max values: 38.044, median values: 0.20229, and quantile values: 0.25 0.065083\n0.50 0.202290\n0.75 0.762300\nName: 13995, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7296556847742137, std values: 5.459781072421359, min values: 3.6821e-06, max values: 46.246, median values: 0.27135, and quantile values: 0.25 0.088654\n0.50 0.271350\n0.75 1.084150\nName: 13996, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3991417702462265, std values: 4.720949680048929, min values: 6.5615e-07, max values: 38.183, median values: 0.21571, and quantile values: 0.25 0.057958\n0.50 0.215710\n0.75 0.802085\nName: 13997, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5158686247859747, std values: 4.972387774667653, min values: 5.0657e-07, max values: 41.1, median values: 0.19782, and quantile values: 0.25 0.053311\n0.50 0.197820\n0.75 0.862255\nName: 13998, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4135543096879435, std values: 4.908947968068666, min values: 7.1673e-08, max values: 41.16, median values: 0.16646, and quantile values: 0.25 0.042521\n0.50 0.166460\n0.75 0.765280\nName: 13999, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.312935040380503, std values: 4.600365463294905, min values: 2.919e-07, max values: 37.1, median values: 0.17864, and quantile values: 0.25 0.060457\n0.50 0.178640\n0.75 0.717340\nName: 14000, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6118134580704402, std values: 5.121234458643184, min values: 2.9952e-06, max values: 41.599, median values: 0.25329, and quantile values: 0.25 0.075646\n0.50 0.253290\n0.75 1.030200\nName: 14001, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3493229512783018, std values: 4.751629330881124, min values: 4.0505e-07, max values: 38.512, median values: 0.17775, and quantile values: 0.25 0.050179\n0.50 0.177750\n0.75 0.722785\nName: 14002, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5620244965698113, std values: 4.900292831257727, min values: 1.962e-07, max values: 39.435, median values: 0.2702, and quantile values: 0.25 0.066312\n0.50 0.270200\n0.75 0.986860\nName: 14003, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4835791003033332, std values: 4.93516388126781, min values: 8.5813e-07, max values: 39.417, median values: 0.21252, and quantile values: 0.25 0.055722\n0.50 0.212520\n0.75 0.861410\nName: 14004, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.336316885479057, std values: 4.594598585752285, min values: 5.8507e-07, max values: 38.146, median values: 0.15873, and quantile values: 0.25 0.046659\n0.50 0.158730\n0.75 0.831135\nName: 14005, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3844687131320754, std values: 4.955615778049357, min values: 2.3852e-06, max values: 40.049, median values: 0.21993, and quantile values: 0.25 0.058969\n0.50 0.219930\n0.75 0.773200\nName: 14006, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4192326007617608, std values: 4.891422059791741, min values: 7.3242e-07, max values: 40.189, median values: 0.23129, and quantile values: 0.25 0.065240\n0.50 0.231290\n0.75 0.803335\nName: 14007, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6729852046132077, std values: 5.027695911294822, min values: 2.7024e-06, max values: 39.277, median values: 0.29253, and quantile values: 0.25 0.075115\n0.50 0.292530\n0.75 1.103400\nName: 14008, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.562427703525786, std values: 5.038313535806021, min values: 1.6097e-06, max values: 41.283, median values: 0.2552, and quantile values: 0.25 0.074043\n0.50 0.255200\n0.75 0.968030\nName: 14009, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3460222066157232, std values: 4.883024464677994, min values: 4.1002e-06, max values: 40.763, median values: 0.18072, and quantile values: 0.25 0.053100\n0.50 0.180720\n0.75 0.620415\nName: 14010, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4505395317345913, std values: 4.91773512806977, min values: 1.6554e-06, max values: 39.679, median values: 0.19588, and quantile values: 0.25 0.065498\n0.50 0.195880\n0.75 0.868015\nName: 14011, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4896001947408806, std values: 4.933839081990173, min values: 1.003e-06, max values: 40.086, median values: 0.23932, and quantile values: 0.25 0.067155\n0.50 0.239320\n0.75 0.912375\nName: 14012, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.519486037336478, std values: 4.9858189106651585, min values: 5.162e-07, max values: 41.639, median values: 0.20891, and quantile values: 0.25 0.056872\n0.50 0.208910\n0.75 0.862485\nName: 14013, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6476264907767297, std values: 5.004562433238427, min values: 1.0036e-06, max values: 39.557, median values: 0.25089, and quantile values: 0.25 0.069928\n0.50 0.250890\n0.75 1.099050\nName: 14014, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6724791760050317, std values: 5.199171436849403, min values: 2.6148e-06, max values: 43.029, median values: 0.28267, and quantile values: 0.25 0.076131\n0.50 0.282670\n0.75 1.090250\nName: 14015, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5955791091987421, std values: 5.058810906402069, min values: 2.1132e-06, max values: 41.127, median values: 0.24806, and quantile values: 0.25 0.065055\n0.50 0.248060\n0.75 1.006190\nName: 14016, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3972293744893083, std values: 4.679537025626353, min values: 4.451e-07, max values: 37.113, median values: 0.17753, and quantile values: 0.25 0.056477\n0.50 0.177530\n0.75 0.822170\nName: 14017, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.132798967680679, std values: 5.856717538219945, min values: 3.7638e-08, max values: 52.363, median values: 0.34696, and quantile values: 0.25 0.082529\n0.50 0.346960\n0.75 1.541900\nName: 14018, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4703516106257863, std values: 4.795687394785534, min values: 4.7399e-06, max values: 39.909, median values: 0.21051, and quantile values: 0.25 0.07026\n0.50 0.21051\n0.75 0.90463\nName: 14019, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5846431892345911, std values: 4.7701693780923735, min values: 3.9623e-06, max values: 39.178, median values: 0.28482, and quantile values: 0.25 0.086747\n0.50 0.284820\n0.75 1.055100\nName: 14020, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3772403748911948, std values: 4.915404198551981, min values: 1.2469e-06, max values: 40.248, median values: 0.1851, and quantile values: 0.25 0.058092\n0.50 0.185100\n0.75 0.834620\nName: 14021, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5851013961012579, std values: 4.888234658774933, min values: 1.4749e-06, max values: 38.998, median values: 0.2567, and quantile values: 0.25 0.068268\n0.50 0.256700\n0.75 1.033750\nName: 14022, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4852757742659748, std values: 4.6256717610374025, min values: 2.5829e-07, max values: 36.943, median values: 0.23101, and quantile values: 0.25 0.059358\n0.50 0.231010\n0.75 0.938635\nName: 14023, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4565407613213837, std values: 4.862867872464408, min values: 0.0, max values: 40.265, median values: 0.23169, and quantile values: 0.25 0.068011\n0.50 0.231690\n0.75 0.812510\nName: 14024, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2297294355037107, std values: 4.497537143329984, min values: 5.5319e-07, max values: 38.217, median values: 0.1599, and quantile values: 0.25 0.044843\n0.50 0.159900\n0.75 0.644275\nName: 14025, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4346295562295597, std values: 4.908317870064881, min values: 6.753e-07, max values: 40.177, median values: 0.18284, and quantile values: 0.25 0.054597\n0.50 0.182840\n0.75 0.764325\nName: 14026, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3101155869731256, std values: 4.669459008929365, min values: 1.3729e-08, max values: 39.22, median values: 0.12381, and quantile values: 0.25 0.02540\n0.50 0.12381\n0.75 0.68075\nName: 14027, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5046185033342139, std values: 4.808606960907061, min values: 2.8004e-07, max values: 37.988, median values: 0.2336, and quantile values: 0.25 0.056923\n0.50 0.233600\n0.75 0.937095\nName: 14028, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.431748278592453, std values: 4.834435283838879, min values: 1.797e-06, max values: 38.907, median values: 0.22552, and quantile values: 0.25 0.061784\n0.50 0.225520\n0.75 0.828620\nName: 14029, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4846298424610063, std values: 4.802687379610672, min values: 1.4291e-06, max values: 38.968, median values: 0.23916, and quantile values: 0.25 0.063115\n0.50 0.239160\n0.75 0.986340\nName: 14030, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.463647666806289, std values: 4.997344651924588, min values: 1.5475e-06, max values: 41.147, median values: 0.21143, and quantile values: 0.25 0.059364\n0.50 0.211430\n0.75 0.890200\nName: 14031, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5515648161509434, std values: 4.890391822674629, min values: 1.4855e-06, max values: 38.408, median values: 0.25137, and quantile values: 0.25 0.067078\n0.50 0.251370\n0.75 0.977110\nName: 14032, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4311014262622643, std values: 4.931149472463322, min values: 1.7442e-06, max values: 40.088, median values: 0.21335, and quantile values: 0.25 0.061764\n0.50 0.213350\n0.75 0.821445\nName: 14033, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5391290820421384, std values: 5.216050134632616, min values: 1.8507e-06, max values: 44.082, median values: 0.22483, and quantile values: 0.25 0.063612\n0.50 0.224830\n0.75 0.923110\nName: 14034, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6826055143421386, std values: 5.138850979512206, min values: 3.0534e-06, max values: 40.785, median values: 0.26746, and quantile values: 0.25 0.078956\n0.50 0.267460\n0.75 1.122850\nName: 14035, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4985103251102514, std values: 4.777942121931084, min values: 8.3733e-07, max values: 37.788, median values: 0.24683, and quantile values: 0.25 0.066589\n0.50 0.246830\n0.75 0.961335\nName: 14036, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4706231152987421, std values: 4.877308546142589, min values: 2.1341e-06, max values: 39.853, median values: 0.21074, and quantile values: 0.25 0.06305\n0.50 0.21074\n0.75 0.88144\nName: 14037, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5547811950037107, std values: 4.990485002194867, min values: 3.6549e-07, max values: 41.491, median values: 0.22206, and quantile values: 0.25 0.058785\n0.50 0.222060\n0.75 1.005145\nName: 14038, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3440436677427672, std values: 4.758763353063786, min values: 1.5747e-06, max values: 38.817, median values: 0.20235, and quantile values: 0.25 0.059709\n0.50 0.202350\n0.75 0.796585\nName: 14039, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6076512242735848, std values: 5.293493153461389, min values: 1.4141e-06, max values: 45.679, median values: 0.23409, and quantile values: 0.25 0.068746\n0.50 0.234090\n0.75 1.034900\nName: 14040, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.12792744421283, std values: 4.5019147658581335, min values: 4.5624e-07, max values: 37.802, median values: 0.1239, and quantile values: 0.25 0.034616\n0.50 0.123900\n0.75 0.549650\nName: 14041, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5745521046106918, std values: 5.083760088886792, min values: 4.4996e-06, max values: 40.742, median values: 0.24267, and quantile values: 0.25 0.074439\n0.50 0.242670\n0.75 0.967480\nName: 14042, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.640705386071698, std values: 5.1320865836811125, min values: 3.2278e-06, max values: 40.501, median values: 0.26788, and quantile values: 0.25 0.079681\n0.50 0.267880\n0.75 1.048400\nName: 14043, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2437436388604401, std values: 4.723884306971439, min values: 4.404e-07, max values: 39.14, median values: 0.16826, and quantile values: 0.25 0.046797\n0.50 0.168260\n0.75 0.644470\nName: 14044, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7670093605283024, std values: 5.247027316031869, min values: 6.454e-06, max values: 42.154, median values: 0.29251, and quantile values: 0.25 0.086012\n0.50 0.292510\n0.75 1.070450\nName: 14045, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.407241078766855, std values: 4.8716930831569565, min values: 5.1223e-07, max values: 40.285, median values: 0.18821, and quantile values: 0.25 0.051263\n0.50 0.188210\n0.75 0.766105\nName: 14046, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7954704650691824, std values: 5.2208379499490425, min values: 1.0229e-06, max values: 42.935, median values: 0.30179, and quantile values: 0.25 0.084888\n0.50 0.301790\n0.75 1.268250\nName: 14047, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5478088886452832, std values: 4.670815197135521, min values: 1.8231e-06, max values: 38.879, median values: 0.2629, and quantile values: 0.25 0.074955\n0.50 0.262900\n0.75 0.996115\nName: 14048, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5445378885777987, std values: 5.001004755938012, min values: 1.6492e-07, max values: 42.495, median values: 0.2372, and quantile values: 0.25 0.055877\n0.50 0.237200\n0.75 0.914250\nName: 14049, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2894587677045912, std values: 4.756219034856072, min values: 9.6133e-07, max values: 39.154, median values: 0.16409, and quantile values: 0.25 0.054558\n0.50 0.164090\n0.75 0.711480\nName: 14050, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.744740495754717, std values: 5.297585749217325, min values: 6.6749e-06, max values: 41.4, median values: 0.30989, and quantile values: 0.25 0.081069\n0.50 0.309890\n0.75 1.009545\nName: 14051, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5028666184646102, std values: 4.861218916032335, min values: 2.7373e-08, max values: 39.802, median values: 0.20387, and quantile values: 0.25 0.043125\n0.50 0.203870\n0.75 0.992515\nName: 14052, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4781068248591196, std values: 4.864085129324135, min values: 4.056e-06, max values: 40.768, median values: 0.24562, and quantile values: 0.25 0.067534\n0.50 0.245620\n0.75 0.829760\nName: 14053, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3186557855949685, std values: 5.054561317214266, min values: 1.5876e-06, max values: 42.541, median values: 0.15261, and quantile values: 0.25 0.056147\n0.50 0.152610\n0.75 0.658355\nName: 14054, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4050455573559748, std values: 4.984439367734535, min values: 2.4597e-06, max values: 40.105, median values: 0.20202, and quantile values: 0.25 0.058694\n0.50 0.202020\n0.75 0.828700\nName: 14055, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5088091260295597, std values: 4.7693618831948905, min values: 1.3774e-06, max values: 38.087, median values: 0.23646, and quantile values: 0.25 0.072245\n0.50 0.236460\n0.75 0.881440\nName: 14056, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4765105480062892, std values: 4.935950083493172, min values: 2.5296e-06, max values: 39.822, median values: 0.24593, and quantile values: 0.25 0.066373\n0.50 0.245930\n0.75 0.894135\nName: 14057, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3868917186570442, std values: 4.709739459815193, min values: 7.6297e-07, max values: 38.571, median values: 0.2117, and quantile values: 0.25 0.054267\n0.50 0.211700\n0.75 0.798910\nName: 14058, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5294201855125786, std values: 4.888826237117728, min values: 4.6977e-06, max values: 41.39, median values: 0.26794, and quantile values: 0.25 0.072743\n0.50 0.267940\n0.75 0.839295\nName: 14059, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.389133112589434, std values: 4.625086103297056, min values: 2.895e-08, max values: 36.714, median values: 0.18437, and quantile values: 0.25 0.048437\n0.50 0.184370\n0.75 0.809075\nName: 14060, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5012963225515723, std values: 5.248996567557781, min values: 2.5346e-06, max values: 44.844, median values: 0.22523, and quantile values: 0.25 0.068915\n0.50 0.225230\n0.75 0.847650\nName: 14061, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6633134327352204, std values: 5.3627852538884815, min values: 1.3225e-06, max values: 46.682, median values: 0.27034, and quantile values: 0.25 0.068465\n0.50 0.270340\n0.75 0.975520\nName: 14062, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7204906681012577, std values: 5.157278824915692, min values: 2.2464e-06, max values: 41.052, median values: 0.29428, and quantile values: 0.25 0.080199\n0.50 0.294280\n0.75 1.168950\nName: 14063, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5603882340355597, std values: 4.791020287259538, min values: 2.1254e-08, max values: 37.793, median values: 0.25082, and quantile values: 0.25 0.061797\n0.50 0.250820\n0.75 0.993885\nName: 14064, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.517874165811283, std values: 4.780258675655736, min values: 2.7544e-08, max values: 37.952, median values: 0.19987, and quantile values: 0.25 0.052407\n0.50 0.199870\n0.75 1.085100\nName: 14065, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7662784578874215, std values: 5.307873600881084, min values: 5.7981e-06, max values: 41.482, median values: 0.32489, and quantile values: 0.25 0.082696\n0.50 0.324890\n0.75 1.129750\nName: 14066, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4137930477031446, std values: 4.642144380209251, min values: 2.4704e-06, max values: 39.115, median values: 0.22558, and quantile values: 0.25 0.063191\n0.50 0.225580\n0.75 0.849970\nName: 14067, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6473360385364777, std values: 5.108535902796896, min values: 2.8654e-06, max values: 40.955, median values: 0.25708, and quantile values: 0.25 0.076536\n0.50 0.257080\n0.75 1.066700\nName: 14068, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5285440977477358, std values: 5.414352299249054, min values: 9.5399e-07, max values: 49.009, median values: 0.20129, and quantile values: 0.25 0.055887\n0.50 0.201290\n0.75 0.807250\nName: 14069, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3614598900245285, std values: 4.899499586238444, min values: 1.6772e-06, max values: 39.496, median values: 0.206, and quantile values: 0.25 0.056120\n0.50 0.206000\n0.75 0.738835\nName: 14070, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5735029778333334, std values: 5.1179410769209195, min values: 2.8189e-06, max values: 41.032, median values: 0.25875, and quantile values: 0.25 0.071439\n0.50 0.258750\n0.75 0.949615\nName: 14071, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2499544470073523, std values: 4.923072916824991, min values: 1.5149e-08, max values: 42.75, median values: 0.14098, and quantile values: 0.25 0.033701\n0.50 0.140980\n0.75 0.594610\nName: 14072, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4776915840972955, std values: 4.866409631525085, min values: 1.4632e-07, max values: 40.078, median values: 0.19546, and quantile values: 0.25 0.051611\n0.50 0.195460\n0.75 0.890230\nName: 14073, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6746932928119498, std values: 5.0815255114059745, min values: 3.1946e-06, max values: 40.468, median values: 0.27111, and quantile values: 0.25 0.07998\n0.50 0.27111\n0.75 1.11555\nName: 14074, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.409982194463522, std values: 4.772876388409679, min values: 1.9768e-06, max values: 39.06, median values: 0.22138, and quantile values: 0.25 0.068611\n0.50 0.221380\n0.75 0.875970\nName: 14075, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5677486134484275, std values: 4.883729062304343, min values: 2.083e-07, max values: 39.21, median values: 0.2119, and quantile values: 0.25 0.058273\n0.50 0.211900\n0.75 0.964195\nName: 14076, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5370616989880503, std values: 5.221964381625042, min values: 2.2482e-06, max values: 44.427, median values: 0.23066, and quantile values: 0.25 0.064806\n0.50 0.230660\n0.75 0.906825\nName: 14077, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.470605454045912, std values: 4.793326168318797, min values: 1.1903e-06, max values: 38.434, median values: 0.20329, and quantile values: 0.25 0.056012\n0.50 0.203290\n0.75 0.897320\nName: 14078, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1844999017347735, std values: 4.724391442514758, min values: 6.0709e-08, max values: 40.243, median values: 0.12225, and quantile values: 0.25 0.032779\n0.50 0.122250\n0.75 0.543810\nName: 14079, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.496940496926981, std values: 4.907130245387027, min values: 3.2119e-07, max values: 39.199, median values: 0.26287, and quantile values: 0.25 0.061537\n0.50 0.262870\n0.75 0.965360\nName: 14080, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4886034953878615, std values: 4.731228551315611, min values: 7.1527e-07, max values: 38.29, median values: 0.23556, and quantile values: 0.25 0.065644\n0.50 0.235560\n0.75 0.933330\nName: 14081, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3716178604828113, std values: 4.690182871490944, min values: 8.6637e-08, max values: 37.389, median values: 0.19549, and quantile values: 0.25 0.043428\n0.50 0.195490\n0.75 0.747710\nName: 14082, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4555435845408804, std values: 5.028297879896025, min values: 1.8319e-06, max values: 41.671, median values: 0.20402, and quantile values: 0.25 0.063543\n0.50 0.204020\n0.75 0.878255\nName: 14083, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.551676725393711, std values: 4.8984060005970695, min values: 2.665e-06, max values: 39.154, median values: 0.24994, and quantile values: 0.25 0.074495\n0.50 0.249940\n0.75 1.018500\nName: 14084, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5813984523408806, std values: 5.077285576666368, min values: 3.9403e-06, max values: 39.994, median values: 0.26208, and quantile values: 0.25 0.075131\n0.50 0.262080\n0.75 0.939575\nName: 14085, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3974900267584907, std values: 4.621801167445742, min values: 2.1701e-06, max values: 39.828, median values: 0.21492, and quantile values: 0.25 0.057608\n0.50 0.214920\n0.75 0.845970\nName: 14086, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4025943538591192, std values: 4.9675020699831745, min values: 1.5453e-06, max values: 42.107, median values: 0.19309, and quantile values: 0.25 0.061357\n0.50 0.193090\n0.75 0.752845\nName: 14087, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7192596619603773, std values: 5.063555221698055, min values: 4.385e-06, max values: 39.914, median values: 0.3012, and quantile values: 0.25 0.094137\n0.50 0.301200\n0.75 1.157150\nName: 14088, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5931826866640253, std values: 5.038753174216586, min values: 2.0918e-07, max values: 42.441, median values: 0.25728, and quantile values: 0.25 0.065215\n0.50 0.257280\n0.75 1.015450\nName: 14089, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.379825612104088, std values: 4.723026557635088, min values: 5.3365e-07, max values: 37.46, median values: 0.20298, and quantile values: 0.25 0.054306\n0.50 0.202980\n0.75 0.812440\nName: 14090, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2674804110421385, std values: 4.695387214234408, min values: 3.3241e-06, max values: 40.489, median values: 0.16334, and quantile values: 0.25 0.055538\n0.50 0.163340\n0.75 0.655080\nName: 14091, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.517690206579874, std values: 4.6890999188703875, min values: 1.0156e-06, max values: 37.881, median values: 0.23865, and quantile values: 0.25 0.071043\n0.50 0.238650\n0.75 1.012300\nName: 14092, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4368400035161006, std values: 4.5536842880981006, min values: 1.4956e-07, max values: 37.01, median values: 0.23292, and quantile values: 0.25 0.056227\n0.50 0.232920\n0.75 0.943605\nName: 14093, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6938000202220125, std values: 5.246755541328392, min values: 4.3779e-06, max values: 42.41, median values: 0.27277, and quantile values: 0.25 0.074867\n0.50 0.272770\n0.75 1.074150\nName: 14094, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4700359748684402, std values: 4.9226834196319125, min values: 3.1032e-08, max values: 41.752, median values: 0.18345, and quantile values: 0.25 0.046138\n0.50 0.183450\n0.75 0.862905\nName: 14095, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5390411284679246, std values: 5.105329577229989, min values: 3.2127e-06, max values: 41.518, median values: 0.2539, and quantile values: 0.25 0.071347\n0.50 0.253900\n0.75 0.896640\nName: 14096, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4102240065974214, std values: 4.7324545570098175, min values: 3.419e-08, max values: 37.334, median values: 0.18133, and quantile values: 0.25 0.048943\n0.50 0.181330\n0.75 0.851610\nName: 14097, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5414707264246603, std values: 4.734746167221223, min values: 2.0171e-08, max values: 36.999, median values: 0.21712, and quantile values: 0.25 0.055445\n0.50 0.217120\n0.75 0.958690\nName: 14098, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.360958777243396, std values: 4.872601024771463, min values: 2.1413e-06, max values: 39.772, median values: 0.19933, and quantile values: 0.25 0.05879\n0.50 0.19933\n0.75 0.79237\nName: 14099, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6049959077830191, std values: 5.1577466076972724, min values: 1.1214e-06, max values: 43.862, median values: 0.27166, and quantile values: 0.25 0.072021\n0.50 0.271660\n0.75 1.032550\nName: 14100, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6150810287308177, std values: 5.049383888054962, min values: 2.4702e-06, max values: 39.807, median values: 0.25427, and quantile values: 0.25 0.078215\n0.50 0.254270\n0.75 1.039500\nName: 14101, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4571097792194339, std values: 4.778944658022537, min values: 6.8099e-07, max values: 38.232, median values: 0.19626, and quantile values: 0.25 0.064123\n0.50 0.196260\n0.75 0.839200\nName: 14102, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.459689911948742, std values: 5.063253550860332, min values: 8.2655e-07, max values: 42.856, median values: 0.20781, and quantile values: 0.25 0.060332\n0.50 0.207810\n0.75 0.820545\nName: 14103, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8077126015264149, std values: 5.280046290278905, min values: 5.5607e-06, max values: 41.004, median values: 0.33312, and quantile values: 0.25 0.096453\n0.50 0.333120\n0.75 1.200250\nName: 14104, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6388156062119497, std values: 5.122383967070611, min values: 3.4014e-06, max values: 40.686, median values: 0.25112, and quantile values: 0.25 0.068866\n0.50 0.251120\n0.75 1.067130\nName: 14105, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6485496484510693, std values: 5.005550285061657, min values: 7.7422e-07, max values: 40.06, median values: 0.26947, and quantile values: 0.25 0.074876\n0.50 0.269470\n0.75 1.146400\nName: 14106, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6907209908358491, std values: 4.854292269723785, min values: 2.0463e-06, max values: 38.505, median values: 0.29403, and quantile values: 0.25 0.080473\n0.50 0.294030\n0.75 1.180550\nName: 14107, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3041952111633963, std values: 4.7200757577813155, min values: 7.2598e-07, max values: 37.813, median values: 0.18404, and quantile values: 0.25 0.057139\n0.50 0.184040\n0.75 0.754960\nName: 14108, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4966849373207547, std values: 4.775904645565441, min values: 1.3898e-06, max values: 39.345, median values: 0.23877, and quantile values: 0.25 0.068300\n0.50 0.238770\n0.75 0.972345\nName: 14109, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2607156436477989, std values: 4.511525627334973, min values: 1.3013e-06, max values: 38.394, median values: 0.17043, and quantile values: 0.25 0.055152\n0.50 0.170430\n0.75 0.707220\nName: 14110, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3465632731748427, std values: 4.750516298155654, min values: 2.4315e-06, max values: 40.36, median values: 0.20045, and quantile values: 0.25 0.053445\n0.50 0.200450\n0.75 0.740535\nName: 14111, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5457562776522011, std values: 4.912726181758539, min values: 1.0794e-06, max values: 38.928, median values: 0.27426, and quantile values: 0.25 0.074197\n0.50 0.274260\n0.75 0.934395\nName: 14112, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2605011742143586, std values: 4.910463881001749, min values: 6.5483e-08, max values: 42.496, median values: 0.12727, and quantile values: 0.25 0.040504\n0.50 0.127270\n0.75 0.610395\nName: 14113, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6265088633528302, std values: 5.247799631409965, min values: 7.2545e-06, max values: 41.849, median values: 0.25758, and quantile values: 0.25 0.075684\n0.50 0.257580\n0.75 0.992420\nName: 14114, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3845229259320755, std values: 4.839153080066154, min values: 3.0162e-06, max values: 39.813, median values: 0.21362, and quantile values: 0.25 0.060916\n0.50 0.213620\n0.75 0.767570\nName: 14115, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.701052602571069, std values: 5.357398595926082, min values: 2.6047e-06, max values: 45.565, median values: 0.30467, and quantile values: 0.25 0.085779\n0.50 0.304670\n0.75 1.102100\nName: 14116, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.487356987108176, std values: 4.77860704374625, min values: 1.5288e-06, max values: 38.662, median values: 0.23192, and quantile values: 0.25 0.070749\n0.50 0.231920\n0.75 0.942655\nName: 14117, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3882194279880502, std values: 4.933145878387277, min values: 2.3595e-06, max values: 40.108, median values: 0.20243, and quantile values: 0.25 0.055355\n0.50 0.202430\n0.75 0.878960\nName: 14118, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.568205187821698, std values: 5.182843596892801, min values: 2.8425e-07, max values: 44.836, median values: 0.22711, and quantile values: 0.25 0.058493\n0.50 0.227110\n0.75 0.958730\nName: 14119, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6442585954264777, std values: 4.956701912673041, min values: 4.6841e-07, max values: 38.979, median values: 0.28125, and quantile values: 0.25 0.064162\n0.50 0.281250\n0.75 1.110050\nName: 14120, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6810885727861635, std values: 5.188124673698306, min values: 2.444e-06, max values: 42.702, median values: 0.28592, and quantile values: 0.25 0.070274\n0.50 0.285920\n0.75 1.139750\nName: 14121, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4899282615838993, std values: 4.975851632940818, min values: 7.0104e-07, max values: 40.869, median values: 0.214, and quantile values: 0.25 0.062074\n0.50 0.214000\n0.75 0.926235\nName: 14122, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1911459000787359, std values: 4.833240511149391, min values: 1.2669e-08, max values: 41.049, median values: 0.11124, and quantile values: 0.25 0.029535\n0.50 0.111240\n0.75 0.630590\nName: 14123, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6916343001893082, std values: 5.309559695131501, min values: 4.6018e-06, max values: 43.672, median values: 0.2842, and quantile values: 0.25 0.079293\n0.50 0.284200\n0.75 1.033900\nName: 14124, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3973780328172327, std values: 4.835588621805834, min values: 6.6284e-07, max values: 38.705, median values: 0.19818, and quantile values: 0.25 0.055118\n0.50 0.198180\n0.75 0.809705\nName: 14125, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.472881158704654, std values: 4.9378873756134825, min values: 8.3984e-07, max values: 40.244, median values: 0.22276, and quantile values: 0.25 0.056368\n0.50 0.222760\n0.75 0.861565\nName: 14126, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.301637369399371, std values: 4.722434815441567, min values: 1.5694e-06, max values: 39.554, median values: 0.18962, and quantile values: 0.25 0.055640\n0.50 0.189620\n0.75 0.771255\nName: 14127, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6499171984509438, std values: 5.214307943721994, min values: 3.1152e-06, max values: 41.946, median values: 0.2912, and quantile values: 0.25 0.071106\n0.50 0.291200\n0.75 1.034420\nName: 14128, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4846691534012577, std values: 4.830648056098252, min values: 1.3668e-06, max values: 39.223, median values: 0.24517, and quantile values: 0.25 0.071160\n0.50 0.245170\n0.75 0.881765\nName: 14129, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6956089922496855, std values: 4.901455506483269, min values: 2.7124e-06, max values: 37.838, median values: 0.30481, and quantile values: 0.25 0.094848\n0.50 0.304810\n0.75 1.151000\nName: 14130, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.632430982855346, std values: 4.736438113279831, min values: 1.5236e-06, max values: 37.568, median values: 0.24881, and quantile values: 0.25 0.080718\n0.50 0.248810\n0.75 1.086350\nName: 14131, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4472179328465409, std values: 4.833726165317719, min values: 3.3044e-06, max values: 40.662, median values: 0.20962, and quantile values: 0.25 0.060787\n0.50 0.209620\n0.75 0.883360\nName: 14132, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2690008422566037, std values: 4.752506516519968, min values: 1.0556e-06, max values: 38.224, median values: 0.16528, and quantile values: 0.25 0.047492\n0.50 0.165280\n0.75 0.656055\nName: 14133, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4134255332827044, std values: 4.935493794702587, min values: 6.2808e-07, max values: 41.551, median values: 0.17402, and quantile values: 0.25 0.050006\n0.50 0.174020\n0.75 0.752845\nName: 14134, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.701606210289937, std values: 5.275144875283349, min values: 5.8804e-06, max values: 41.297, median values: 0.28008, and quantile values: 0.25 0.065607\n0.50 0.280080\n0.75 0.958605\nName: 14135, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4351164123095597, std values: 4.79317466165141, min values: 6.9782e-07, max values: 38.046, median values: 0.21059, and quantile values: 0.25 0.058241\n0.50 0.210590\n0.75 0.860805\nName: 14136, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.617040001990566, std values: 5.1371222572844255, min values: 5.1301e-06, max values: 40.328, median values: 0.27342, and quantile values: 0.25 0.076343\n0.50 0.273420\n0.75 0.926765\nName: 14137, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3496015857420125, std values: 4.922712480214956, min values: 7.0828e-07, max values: 40.791, median values: 0.17873, and quantile values: 0.25 0.056079\n0.50 0.178730\n0.75 0.693020\nName: 14138, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4466971394402517, std values: 4.858679412240122, min values: 2.784e-06, max values: 39.725, median values: 0.21848, and quantile values: 0.25 0.072862\n0.50 0.218480\n0.75 0.843960\nName: 14139, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.388117220766038, std values: 4.8632622754777115, min values: 1.0804e-06, max values: 39.606, median values: 0.21233, and quantile values: 0.25 0.064145\n0.50 0.212330\n0.75 0.796245\nName: 14140, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.52114771297761, std values: 5.062323546028352, min values: 4.6214e-07, max values: 43.365, median values: 0.24496, and quantile values: 0.25 0.066674\n0.50 0.244960\n0.75 0.920260\nName: 14141, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.68737401771, std values: 5.018843138154811, min values: 5.889e-08, max values: 40.32, median values: 0.25457, and quantile values: 0.25 0.067664\n0.50 0.254570\n0.75 1.234350\nName: 14142, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7862933344446545, std values: 5.326120740103527, min values: 3.5208e-06, max values: 43.336, median values: 0.28879, and quantile values: 0.25 0.08676\n0.50 0.28879\n0.75 1.19590\nName: 14143, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.588958926459019, std values: 4.952537743700111, min values: 2.3474e-08, max values: 41.173, median values: 0.2464, and quantile values: 0.25 0.052297\n0.50 0.246400\n0.75 1.055465\nName: 14144, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4897472747257865, std values: 4.833409677047225, min values: 2.4111e-06, max values: 39.682, median values: 0.22098, and quantile values: 0.25 0.066389\n0.50 0.220980\n0.75 0.923895\nName: 14145, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7686527637735847, std values: 5.385774648186137, min values: 1.1315e-05, max values: 41.812, median values: 0.27937, and quantile values: 0.25 0.079747\n0.50 0.279370\n0.75 1.048550\nName: 14146, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.595422591645912, std values: 5.061637646931095, min values: 1.9384e-06, max values: 40.886, median values: 0.24711, and quantile values: 0.25 0.066336\n0.50 0.247110\n0.75 1.001800\nName: 14147, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3889276634616354, std values: 5.227272376521164, min values: 2.4441e-06, max values: 44.807, median values: 0.18731, and quantile values: 0.25 0.057227\n0.50 0.187310\n0.75 0.658595\nName: 14148, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.548000866282547, std values: 5.02989411991784, min values: 9.6625e-08, max values: 42.889, median values: 0.25126, and quantile values: 0.25 0.059090\n0.50 0.251260\n0.75 1.017835\nName: 14149, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2870935227832074, std values: 4.574189790518501, min values: 2.2023e-07, max values: 37.617, median values: 0.15767, and quantile values: 0.25 0.045678\n0.50 0.157670\n0.75 0.736415\nName: 14150, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4197076806930817, std values: 4.921233854494507, min values: 1.8173e-06, max values: 40.03, median values: 0.20114, and quantile values: 0.25 0.061628\n0.50 0.201140\n0.75 0.794575\nName: 14151, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4337230388389934, std values: 5.075812924585992, min values: 2.99e-06, max values: 42.236, median values: 0.21419, and quantile values: 0.25 0.068074\n0.50 0.214190\n0.75 0.780580\nName: 14152, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3272350151438994, std values: 4.804151009311467, min values: 1.7778e-07, max values: 38.896, median values: 0.15375, and quantile values: 0.25 0.043261\n0.50 0.153750\n0.75 0.736240\nName: 14153, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5660446025408805, std values: 4.949476510618198, min values: 1.7832e-06, max values: 39.083, median values: 0.24232, and quantile values: 0.25 0.07136\n0.50 0.24232\n0.75 0.98937\nName: 14154, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.331228553330107, std values: 4.776514706499755, min values: 6.0047e-08, max values: 39.359, median values: 0.15562, and quantile values: 0.25 0.047304\n0.50 0.155620\n0.75 0.726675\nName: 14155, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4309075350745284, std values: 4.793681173184715, min values: 5.7205e-07, max values: 38.477, median values: 0.22377, and quantile values: 0.25 0.054009\n0.50 0.223770\n0.75 0.821255\nName: 14156, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4385946926120312, std values: 4.72246235433513, min values: 2.3872e-08, max values: 37.85, median values: 0.19432, and quantile values: 0.25 0.042942\n0.50 0.194320\n0.75 0.893805\nName: 14157, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.539507198508176, std values: 5.108359128895355, min values: 2.0861e-06, max values: 42.782, median values: 0.21548, and quantile values: 0.25 0.061068\n0.50 0.215480\n0.75 0.899730\nName: 14158, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.677377237090566, std values: 5.2731538568434555, min values: 4.42e-06, max values: 42.826, median values: 0.29007, and quantile values: 0.25 0.079972\n0.50 0.290070\n0.75 0.983270\nName: 14159, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.755964660244025, std values: 5.143875077831872, min values: 1.7136e-06, max values: 40.74, median values: 0.28892, and quantile values: 0.25 0.07525\n0.50 0.28892\n0.75 1.22005\nName: 14160, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7510501620646541, std values: 5.00962423236821, min values: 6.1458e-07, max values: 38.858, median values: 0.32692, and quantile values: 0.25 0.07998\n0.50 0.32692\n0.75 1.20710\nName: 14161, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5327556326125784, std values: 4.9013125463276515, min values: 2.7493e-06, max values: 39.504, median values: 0.23995, and quantile values: 0.25 0.071933\n0.50 0.239950\n0.75 0.960890\nName: 14162, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.590033331283019, std values: 4.848315397777693, min values: 2.7446e-06, max values: 39.563, median values: 0.27124, and quantile values: 0.25 0.081260\n0.50 0.271240\n0.75 0.997825\nName: 14163, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.368169321708176, std values: 4.597389402919785, min values: 1.0479e-06, max values: 38.125, median values: 0.21861, and quantile values: 0.25 0.05469\n0.50 0.21861\n0.75 0.81367\nName: 14164, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3785825594660377, std values: 4.865094745440335, min values: 2.4819e-06, max values: 39.47, median values: 0.19616, and quantile values: 0.25 0.061153\n0.50 0.196160\n0.75 0.767110\nName: 14165, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7241853837176102, std values: 5.186049396161238, min values: 2.5526e-06, max values: 41.577, median values: 0.31915, and quantile values: 0.25 0.085296\n0.50 0.319150\n0.75 1.148150\nName: 14166, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3784297287467295, std values: 4.909882274808506, min values: 1.8015e-07, max values: 41.763, median values: 0.16994, and quantile values: 0.25 0.041323\n0.50 0.169940\n0.75 0.734355\nName: 14167, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4575738805452831, std values: 5.119677880110151, min values: 8.486e-07, max values: 43.384, median values: 0.18087, and quantile values: 0.25 0.058703\n0.50 0.180870\n0.75 0.848505\nName: 14168, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.535651059327044, std values: 5.194079403104368, min values: 6.259e-07, max values: 43.609, median values: 0.2231, and quantile values: 0.25 0.062506\n0.50 0.223100\n0.75 0.918040\nName: 14169, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6299291998761005, std values: 4.994892229264535, min values: 1.8011e-06, max values: 39.158, median values: 0.28045, and quantile values: 0.25 0.078528\n0.50 0.280450\n0.75 1.118650\nName: 14170, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4813065416530187, std values: 4.846517861140987, min values: 7.1303e-07, max values: 38.638, median values: 0.20227, and quantile values: 0.25 0.060546\n0.50 0.202270\n0.75 0.926680\nName: 14171, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4954526030638997, std values: 4.774662987058934, min values: 7.5156e-07, max values: 38.11, median values: 0.21975, and quantile values: 0.25 0.064700\n0.50 0.219750\n0.75 0.983255\nName: 14172, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2413213399672955, std values: 4.514260538883514, min values: 1.9798e-06, max values: 39.8, median values: 0.16336, and quantile values: 0.25 0.049411\n0.50 0.163360\n0.75 0.656485\nName: 14173, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3188062326085535, std values: 4.6954484179202804, min values: 8.9646e-07, max values: 38.257, median values: 0.15907, and quantile values: 0.25 0.050235\n0.50 0.159070\n0.75 0.726175\nName: 14174, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2445689254345282, std values: 4.5847427680995345, min values: 7.4519e-07, max values: 38.166, median values: 0.16942, and quantile values: 0.25 0.052289\n0.50 0.169420\n0.75 0.663660\nName: 14175, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3642525221145283, std values: 4.66218358922763, min values: 2.4321e-07, max values: 37.109, median values: 0.1798, and quantile values: 0.25 0.052487\n0.50 0.179800\n0.75 0.724575\nName: 14176, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4998162764591194, std values: 4.927485296887762, min values: 1.6161e-06, max values: 39.31, median values: 0.2156, and quantile values: 0.25 0.071677\n0.50 0.215600\n0.75 0.900200\nName: 14177, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4746703556660377, std values: 4.975310340786204, min values: 3.3904e-06, max values: 40.92, median values: 0.22045, and quantile values: 0.25 0.061350\n0.50 0.220450\n0.75 0.901975\nName: 14178, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6676392536767295, std values: 5.186315811079184, min values: 5.2817e-06, max values: 40.777, median values: 0.27428, and quantile values: 0.25 0.083053\n0.50 0.274280\n0.75 1.009450\nName: 14179, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.522163115979874, std values: 5.136363230889319, min values: 1.3283e-06, max values: 44.018, median values: 0.2451, and quantile values: 0.25 0.068179\n0.50 0.245100\n0.75 0.917695\nName: 14180, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4135117406655344, std values: 4.864876312248682, min values: 2.0685e-07, max values: 40.849, median values: 0.18311, and quantile values: 0.25 0.041959\n0.50 0.183110\n0.75 0.737670\nName: 14181, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5337965726798743, std values: 5.045541248069178, min values: 3.4851e-06, max values: 40.314, median values: 0.24913, and quantile values: 0.25 0.066003\n0.50 0.249130\n0.75 0.881770\nName: 14182, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5715431537155344, std values: 4.748783930476596, min values: 2.6017e-07, max values: 37.992, median values: 0.2519, and quantile values: 0.25 0.065493\n0.50 0.251900\n0.75 1.087850\nName: 14183, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4599789752427674, std values: 4.766194658007451, min values: 6.169e-07, max values: 37.78, median values: 0.23511, and quantile values: 0.25 0.054049\n0.50 0.235110\n0.75 0.894045\nName: 14184, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3640872711081762, std values: 4.847832775234832, min values: 1.8349e-06, max values: 40.074, median values: 0.18036, and quantile values: 0.25 0.054640\n0.50 0.180360\n0.75 0.729995\nName: 14185, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7192515841327043, std values: 5.236845428985246, min values: 1.5276e-06, max values: 44.102, median values: 0.31447, and quantile values: 0.25 0.083817\n0.50 0.314470\n0.75 1.170650\nName: 14186, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5506755918207547, std values: 5.017221660852068, min values: 6.531e-07, max values: 41.139, median values: 0.21846, and quantile values: 0.25 0.062685\n0.50 0.218460\n0.75 0.985570\nName: 14187, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6388363615987422, std values: 4.998719147220675, min values: 1.8849e-06, max values: 39.348, median values: 0.27175, and quantile values: 0.25 0.072984\n0.50 0.271750\n0.75 1.216300\nName: 14188, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5280823423654089, std values: 5.176086318621225, min values: 3.7241e-06, max values: 42.069, median values: 0.22591, and quantile values: 0.25 0.074979\n0.50 0.225910\n0.75 0.921025\nName: 14189, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3453702260591194, std values: 4.816007312732336, min values: 1.898e-06, max values: 39.12, median values: 0.17211, and quantile values: 0.25 0.053652\n0.50 0.172110\n0.75 0.785720\nName: 14190, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3942951797937106, std values: 4.913476092923403, min values: 2.0868e-06, max values: 39.471, median values: 0.2163, and quantile values: 0.25 0.057599\n0.50 0.216300\n0.75 0.803210\nName: 14191, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4711287857832074, std values: 5.007064501152982, min values: 9.1933e-07, max values: 42.07, median values: 0.21472, and quantile values: 0.25 0.057642\n0.50 0.214720\n0.75 0.832175\nName: 14192, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4814354287955975, std values: 4.898373007373756, min values: 1.0367e-06, max values: 38.951, median values: 0.23005, and quantile values: 0.25 0.066174\n0.50 0.230050\n0.75 0.878225\nName: 14193, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.322969548991195, std values: 4.775298247170987, min values: 2.2963e-06, max values: 39.776, median values: 0.18794, and quantile values: 0.25 0.055467\n0.50 0.187940\n0.75 0.674585\nName: 14194, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5487136184088053, std values: 5.14932893176208, min values: 2.8868e-06, max values: 41.942, median values: 0.22661, and quantile values: 0.25 0.068921\n0.50 0.226610\n0.75 0.894665\nName: 14195, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5693671439811319, std values: 5.133992528832544, min values: 1.055e-06, max values: 43.489, median values: 0.26886, and quantile values: 0.25 0.067641\n0.50 0.268860\n0.75 0.980325\nName: 14196, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.666616867837107, std values: 5.06491470564231, min values: 4.1057e-06, max values: 39.401, median values: 0.3068, and quantile values: 0.25 0.090062\n0.50 0.306800\n0.75 1.067800\nName: 14197, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5277744716056605, std values: 5.050356030244376, min values: 1.9671e-06, max values: 41.446, median values: 0.24661, and quantile values: 0.25 0.070019\n0.50 0.246610\n0.75 0.932345\nName: 14198, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4243372116591821, std values: 4.845822111633532, min values: 3.3971e-07, max values: 39.602, median values: 0.18279, and quantile values: 0.25 0.053132\n0.50 0.182790\n0.75 0.864550\nName: 14199, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5945609190169812, std values: 5.0915442392831025, min values: 2.5945e-06, max values: 40.873, median values: 0.25674, and quantile values: 0.25 0.069934\n0.50 0.256740\n0.75 1.012250\nName: 14200, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5832792743452828, std values: 5.153805201643734, min values: 1.729e-06, max values: 43.184, median values: 0.22044, and quantile values: 0.25 0.071132\n0.50 0.220440\n0.75 0.967860\nName: 14201, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.747131667725786, std values: 5.327837417941717, min values: 8.4924e-06, max values: 41.503, median values: 0.29518, and quantile values: 0.25 0.080614\n0.50 0.295180\n0.75 1.072750\nName: 14202, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1911485557836476, std values: 4.5842780153713285, min values: 2.0661e-06, max values: 40.291, median values: 0.15089, and quantile values: 0.25 0.046781\n0.50 0.150890\n0.75 0.589900\nName: 14203, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5724992984515722, std values: 5.192140747909407, min values: 1.684e-06, max values: 44.034, median values: 0.23072, and quantile values: 0.25 0.064072\n0.50 0.230720\n0.75 0.930580\nName: 14204, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3671070898492201, std values: 4.584297997194033, min values: 1.3626e-08, max values: 35.914, median values: 0.17349, and quantile values: 0.25 0.039750\n0.50 0.173490\n0.75 0.756985\nName: 14205, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1853433354980505, std values: 4.589530322244445, min values: 9.6849e-07, max values: 37.892, median values: 0.13343, and quantile values: 0.25 0.036531\n0.50 0.133430\n0.75 0.598225\nName: 14206, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.617842011636478, std values: 5.049447523480246, min values: 2.9417e-06, max values: 39.902, median values: 0.26018, and quantile values: 0.25 0.076055\n0.50 0.260180\n0.75 1.055500\nName: 14207, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4186127653786165, std values: 4.91807878134176, min values: 1.8798e-06, max values: 40.077, median values: 0.18992, and quantile values: 0.25 0.056872\n0.50 0.189920\n0.75 0.811955\nName: 14208, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3476832957955347, std values: 4.676433925927533, min values: 4.7679e-07, max values: 37.038, median values: 0.1899, and quantile values: 0.25 0.057755\n0.50 0.189900\n0.75 0.803560\nName: 14209, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4493617665377359, std values: 4.856420021767643, min values: 3.4108e-06, max values: 39.989, median values: 0.208, and quantile values: 0.25 0.066328\n0.50 0.208000\n0.75 0.862830\nName: 14210, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.373269802461006, std values: 4.695920751194964, min values: 1.3329e-06, max values: 38.418, median values: 0.22689, and quantile values: 0.25 0.061858\n0.50 0.226890\n0.75 0.790920\nName: 14211, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5856372322987422, std values: 5.196520656994306, min values: 2.8351e-06, max values: 43.667, median values: 0.23606, and quantile values: 0.25 0.080236\n0.50 0.236060\n0.75 0.987255\nName: 14212, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5327001218182394, std values: 4.912720321919605, min values: 2.101e-06, max values: 38.936, median values: 0.25052, and quantile values: 0.25 0.065023\n0.50 0.250520\n0.75 0.974135\nName: 14213, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5383513128377357, std values: 4.92053816775744, min values: 1.2495e-06, max values: 38.683, median values: 0.26825, and quantile values: 0.25 0.077852\n0.50 0.268250\n0.75 0.936580\nName: 14214, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4031678202062894, std values: 4.9511027753794785, min values: 2.3008e-06, max values: 40.066, median values: 0.20902, and quantile values: 0.25 0.060014\n0.50 0.209020\n0.75 0.821905\nName: 14215, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6213084929157233, std values: 5.039410221484622, min values: 1.7653e-06, max values: 40.167, median values: 0.2712, and quantile values: 0.25 0.071427\n0.50 0.271200\n0.75 1.052550\nName: 14216, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5382570842062893, std values: 4.983275440217688, min values: 2.2738e-06, max values: 39.373, median values: 0.22786, and quantile values: 0.25 0.065998\n0.50 0.227860\n0.75 0.954145\nName: 14217, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7311504423427675, std values: 5.368330981551196, min values: 4.0921e-06, max values: 44.771, median values: 0.29455, and quantile values: 0.25 0.080864\n0.50 0.294550\n0.75 1.124350\nName: 14218, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4683071342044027, std values: 4.671710716877604, min values: 1.4271e-06, max values: 38.515, median values: 0.24468, and quantile values: 0.25 0.058803\n0.50 0.244680\n0.75 0.965275\nName: 14219, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2672434817733962, std values: 4.797110476169962, min values: 6.6737e-07, max values: 38.853, median values: 0.1693, and quantile values: 0.25 0.049927\n0.50 0.169300\n0.75 0.668290\nName: 14220, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.603045854681761, std values: 5.2934635632914135, min values: 5.9936e-06, max values: 42.726, median values: 0.21777, and quantile values: 0.25 0.072532\n0.50 0.217770\n0.75 0.925755\nName: 14221, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4117924253762895, std values: 4.990599146227655, min values: 8.9783e-07, max values: 41.68, median values: 0.20212, and quantile values: 0.25 0.066534\n0.50 0.202120\n0.75 0.781440\nName: 14222, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4248961314327042, std values: 5.006699247529175, min values: 7.694e-07, max values: 41.699, median values: 0.21638, and quantile values: 0.25 0.056016\n0.50 0.216380\n0.75 0.779660\nName: 14223, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4436491295415093, std values: 4.890836264416517, min values: 1.5101e-06, max values: 39.134, median values: 0.20175, and quantile values: 0.25 0.061884\n0.50 0.201750\n0.75 0.849525\nName: 14224, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5863876977584905, std values: 5.140448335315803, min values: 4.2937e-06, max values: 41.201, median values: 0.25361, and quantile values: 0.25 0.069151\n0.50 0.253610\n0.75 0.909055\nName: 14225, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5868061896974843, std values: 5.381560426086546, min values: 6.1155e-06, max values: 43.554, median values: 0.22858, and quantile values: 0.25 0.061368\n0.50 0.228580\n0.75 0.829700\nName: 14226, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.514122660681761, std values: 4.721369727356144, min values: 2.7104e-06, max values: 39.384, median values: 0.21718, and quantile values: 0.25 0.067911\n0.50 0.217180\n0.75 0.916590\nName: 14227, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5069148267355346, std values: 4.773927356345863, min values: 7.7085e-07, max values: 37.826, median values: 0.22481, and quantile values: 0.25 0.061346\n0.50 0.224810\n0.75 0.876250\nName: 14228, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.615723505072327, std values: 4.946760189856029, min values: 1.4761e-06, max values: 38.814, median values: 0.25548, and quantile values: 0.25 0.076953\n0.50 0.255480\n0.75 1.090850\nName: 14229, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3999046182477985, std values: 5.06787123193562, min values: 2.304e-06, max values: 41.991, median values: 0.20237, and quantile values: 0.25 0.057925\n0.50 0.202370\n0.75 0.754645\nName: 14230, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2915966048773586, std values: 4.703450972087532, min values: 1.406e-06, max values: 38.66, median values: 0.16803, and quantile values: 0.25 0.048786\n0.50 0.168030\n0.75 0.655200\nName: 14231, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2802803044168551, std values: 4.7180500102337515, min values: 1.9888e-07, max values: 37.955, median values: 0.1634, and quantile values: 0.25 0.043975\n0.50 0.163400\n0.75 0.665330\nName: 14232, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5203651081616982, std values: 4.984173856027715, min values: 3.1261e-07, max values: 41.322, median values: 0.22828, and quantile values: 0.25 0.062605\n0.50 0.228280\n0.75 0.936895\nName: 14233, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.35286464271905, std values: 4.7751771194212065, min values: 5.1495e-08, max values: 40.47, median values: 0.16089, and quantile values: 0.25 0.035702\n0.50 0.160890\n0.75 0.689365\nName: 14234, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3779441456069181, std values: 4.854125595929895, min values: 2.0912e-06, max values: 40.095, median values: 0.20764, and quantile values: 0.25 0.063580\n0.50 0.207640\n0.75 0.743225\nName: 14235, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4463652541331447, std values: 4.9157549595596945, min values: 2.0677e-07, max values: 39.947, median values: 0.22897, and quantile values: 0.25 0.05898\n0.50 0.22897\n0.75 0.83202\nName: 14236, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2922905458685536, std values: 4.801816068188071, min values: 1.2321e-06, max values: 39.124, median values: 0.18752, and quantile values: 0.25 0.052306\n0.50 0.187520\n0.75 0.777155\nName: 14237, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6966391790886792, std values: 5.185868665623352, min values: 1.1814e-06, max values: 43.462, median values: 0.30793, and quantile values: 0.25 0.081415\n0.50 0.307930\n0.75 1.190450\nName: 14238, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4864252446726414, std values: 4.889237488879651, min values: 1.8335e-07, max values: 40.001, median values: 0.21497, and quantile values: 0.25 0.061567\n0.50 0.214970\n0.75 0.921980\nName: 14239, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.555050565396132, std values: 4.982187793060279, min values: 3.1445e-08, max values: 41.848, median values: 0.20763, and quantile values: 0.25 0.053503\n0.50 0.207630\n0.75 0.998005\nName: 14240, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4595758590553458, std values: 4.884764259047638, min values: 2.356e-06, max values: 39.106, median values: 0.23047, and quantile values: 0.25 0.059606\n0.50 0.230470\n0.75 0.938020\nName: 14241, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5322435104761007, std values: 4.872691539311273, min values: 2.5457e-06, max values: 39.671, median values: 0.23548, and quantile values: 0.25 0.069183\n0.50 0.235480\n0.75 1.016425\nName: 14242, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4988776115030817, std values: 4.853469575618954, min values: 9.9219e-07, max values: 38.428, median values: 0.22729, and quantile values: 0.25 0.067955\n0.50 0.227290\n0.75 0.872135\nName: 14243, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3557495750633335, std values: 5.108822733493437, min values: 3.8447e-07, max values: 44.455, median values: 0.14746, and quantile values: 0.25 0.050703\n0.50 0.147460\n0.75 0.741710\nName: 14244, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6568405221607547, std values: 5.194017450158329, min values: 2.5436e-07, max values: 44.359, median values: 0.24973, and quantile values: 0.25 0.065768\n0.50 0.249730\n0.75 1.117550\nName: 14245, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.320935427723019, std values: 4.786899321532277, min values: 3.1656e-07, max values: 38.546, median values: 0.17316, and quantile values: 0.25 0.044793\n0.50 0.173160\n0.75 0.757150\nName: 14246, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4383905495704403, std values: 4.702521467360661, min values: 2.2507e-06, max values: 39.284, median values: 0.23411, and quantile values: 0.25 0.06348\n0.50 0.23411\n0.75 0.91123\nName: 14247, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5561205628811323, std values: 4.930083806653823, min values: 1.6565e-06, max values: 39.743, median values: 0.23348, and quantile values: 0.25 0.069635\n0.50 0.233480\n0.75 0.982935\nName: 14248, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.68861504174717, std values: 5.165517596715638, min values: 1.8209e-06, max values: 42.361, median values: 0.26849, and quantile values: 0.25 0.073126\n0.50 0.268490\n0.75 1.126050\nName: 14249, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3308444056900628, std values: 4.715825834896834, min values: 1.0185e-07, max values: 38.837, median values: 0.17919, and quantile values: 0.25 0.042888\n0.50 0.179190\n0.75 0.699855\nName: 14250, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3489572547944026, std values: 4.999072631040802, min values: 9.2651e-07, max values: 42.218, median values: 0.16636, and quantile values: 0.25 0.051724\n0.50 0.166360\n0.75 0.725360\nName: 14251, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.543100502755346, std values: 5.042862661147281, min values: 3.23e-06, max values: 40.642, median values: 0.25604, and quantile values: 0.25 0.068973\n0.50 0.256040\n0.75 0.895090\nName: 14252, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.475270787836679, std values: 4.713648199547685, min values: 1.7232e-08, max values: 37.532, median values: 0.23982, and quantile values: 0.25 0.063787\n0.50 0.239820\n0.75 0.974935\nName: 14253, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5424277526911951, std values: 4.69946106273031, min values: 1.1776e-06, max values: 37.64, median values: 0.25377, and quantile values: 0.25 0.072794\n0.50 0.253770\n0.75 1.013460\nName: 14254, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6108219919503144, std values: 5.343765836263881, min values: 3.4013e-06, max values: 45.766, median values: 0.26996, and quantile values: 0.25 0.078934\n0.50 0.269960\n0.75 0.980490\nName: 14255, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3807964390962266, std values: 4.904809013188777, min values: 1.9832e-06, max values: 39.883, median values: 0.2081, and quantile values: 0.25 0.059774\n0.50 0.208100\n0.75 0.796055\nName: 14256, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.543634041251572, std values: 4.85618368448844, min values: 1.1799e-06, max values: 38.949, median values: 0.23628, and quantile values: 0.25 0.063909\n0.50 0.236280\n0.75 1.010600\nName: 14257, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1879213460220126, std values: 4.5569609357557, min values: 2.5115e-06, max values: 40.41, median values: 0.15239, and quantile values: 0.25 0.053778\n0.50 0.152390\n0.75 0.568220\nName: 14258, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4792787092731634, std values: 4.772241298050962, min values: 3.4133e-08, max values: 37.693, median values: 0.20922, and quantile values: 0.25 0.054613\n0.50 0.209220\n0.75 0.993185\nName: 14259, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9143147459327043, std values: 5.462920470968191, min values: 3.4722e-06, max values: 44.89, median values: 0.34255, and quantile values: 0.25 0.096808\n0.50 0.342550\n0.75 1.330000\nName: 14260, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.353898385850912, std values: 4.761271515958223, min values: 5.6755e-08, max values: 38.916, median values: 0.1709, and quantile values: 0.25 0.045115\n0.50 0.170900\n0.75 0.724700\nName: 14261, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.721719017871698, std values: 5.168211136217656, min values: 4.8931e-06, max values: 41.267, median values: 0.31476, and quantile values: 0.25 0.082716\n0.50 0.314760\n0.75 1.080000\nName: 14262, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6618396524391823, std values: 4.9811941464600515, min values: 8.3943e-07, max values: 39.692, median values: 0.32353, and quantile values: 0.25 0.080032\n0.50 0.323530\n0.75 1.136750\nName: 14263, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6582720281823897, std values: 5.2026338425230385, min values: 4.3169e-06, max values: 41.433, median values: 0.29646, and quantile values: 0.25 0.082782\n0.50 0.296460\n0.75 1.024330\nName: 14264, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3980213670346542, std values: 4.978929408495164, min values: 5.8561e-07, max values: 42.27, median values: 0.20086, and quantile values: 0.25 0.063507\n0.50 0.200860\n0.75 0.776600\nName: 14265, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7554847515918235, std values: 5.072887019375993, min values: 4.3328e-06, max values: 40.188, median values: 0.30145, and quantile values: 0.25 0.084068\n0.50 0.301450\n0.75 1.138150\nName: 14266, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.313035900181761, std values: 4.700964448205412, min values: 1.3015e-06, max values: 38.173, median values: 0.18727, and quantile values: 0.25 0.050337\n0.50 0.187270\n0.75 0.727690\nName: 14267, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6959273104911952, std values: 5.158805571791489, min values: 2.9259e-06, max values: 41.44, median values: 0.28732, and quantile values: 0.25 0.079688\n0.50 0.287320\n0.75 1.121200\nName: 14268, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9552527226421381, std values: 5.524407654874221, min values: 6.0911e-06, max values: 43.524, median values: 0.3361, and quantile values: 0.25 0.092936\n0.50 0.336100\n0.75 1.254850\nName: 14269, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.416912139890566, std values: 4.96319828469242, min values: 2.0795e-06, max values: 39.88, median values: 0.19331, and quantile values: 0.25 0.060166\n0.50 0.193310\n0.75 0.816755\nName: 14270, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5465593256207548, std values: 4.931066334829483, min values: 1.2389e-06, max values: 39.316, median values: 0.23022, and quantile values: 0.25 0.059994\n0.50 0.230220\n0.75 0.964530\nName: 14271, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4733095771162263, std values: 4.7217611731777085, min values: 8.8358e-07, max values: 37.771, median values: 0.21694, and quantile values: 0.25 0.071158\n0.50 0.216940\n0.75 0.920325\nName: 14272, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4772637756442768, std values: 5.007408471896474, min values: 7.8544e-07, max values: 42.163, median values: 0.22134, and quantile values: 0.25 0.063365\n0.50 0.221340\n0.75 0.888865\nName: 14273, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4710649485970442, std values: 5.0566715218090845, min values: 1.6623e-07, max values: 43.606, median values: 0.1971, and quantile values: 0.25 0.051988\n0.50 0.197100\n0.75 0.822655\nName: 14274, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6236878274684907, std values: 5.319877800657187, min values: 2.8989e-07, max values: 46.653, median values: 0.233, and quantile values: 0.25 0.061485\n0.50 0.233000\n0.75 1.051750\nName: 14275, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5297732523369811, std values: 4.860281055460457, min values: 8.4548e-07, max values: 39.058, median values: 0.23877, and quantile values: 0.25 0.064434\n0.50 0.238770\n0.75 0.996555\nName: 14276, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.482863551313893, std values: 4.933245133980905, min values: 2.2339e-08, max values: 41.488, median values: 0.20329, and quantile values: 0.25 0.043403\n0.50 0.203290\n0.75 0.804250\nName: 14277, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.538586326226415, std values: 4.997886155196406, min values: 3.3849e-06, max values: 40.215, median values: 0.24376, and quantile values: 0.25 0.071652\n0.50 0.243760\n0.75 0.837250\nName: 14278, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4737541925482642, std values: 4.919125273083042, min values: 1.7014e-08, max values: 41.135, median values: 0.20351, and quantile values: 0.25 0.046045\n0.50 0.203510\n0.75 0.895800\nName: 14279, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6735630478666665, std values: 5.120149679132055, min values: 2.8926e-06, max values: 40.504, median values: 0.28663, and quantile values: 0.25 0.077041\n0.50 0.286630\n0.75 1.084500\nName: 14280, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3600414777117609, std values: 4.752710972926831, min values: 5.8147e-07, max values: 37.831, median values: 0.1667, and quantile values: 0.25 0.051345\n0.50 0.166700\n0.75 0.744780\nName: 14281, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.620541529409434, std values: 4.989321195856221, min values: 1.3015e-06, max values: 39.563, median values: 0.2972, and quantile values: 0.25 0.068917\n0.50 0.297200\n0.75 1.031250\nName: 14282, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4855413836811322, std values: 5.085100737495983, min values: 1.4165e-06, max values: 42.521, median values: 0.19744, and quantile values: 0.25 0.060375\n0.50 0.197440\n0.75 0.849325\nName: 14283, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.345181155772327, std values: 5.059209896528907, min values: 1.6796e-06, max values: 43.231, median values: 0.18357, and quantile values: 0.25 0.055119\n0.50 0.183570\n0.75 0.757185\nName: 14284, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4018546618198742, std values: 4.960301330792193, min values: 8.7916e-07, max values: 40.806, median values: 0.1788, and quantile values: 0.25 0.052514\n0.50 0.178800\n0.75 0.800745\nName: 14285, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4874114357974841, std values: 4.975634706619465, min values: 5.531e-07, max values: 41.866, median values: 0.22479, and quantile values: 0.25 0.061105\n0.50 0.224790\n0.75 0.971470\nName: 14286, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.453143117901132, std values: 4.75088925661347, min values: 9.8068e-07, max values: 38.638, median values: 0.20962, and quantile values: 0.25 0.060673\n0.50 0.209620\n0.75 0.891175\nName: 14287, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5983972160249056, std values: 4.924235350263471, min values: 7.2276e-07, max values: 39.71, median values: 0.25268, and quantile values: 0.25 0.071418\n0.50 0.252680\n0.75 1.050550\nName: 14288, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3179807156086165, std values: 4.740953409083417, min values: 5.4207e-07, max values: 38.192, median values: 0.17264, and quantile values: 0.25 0.050777\n0.50 0.172640\n0.75 0.701750\nName: 14289, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3454140520465407, std values: 4.68621447850912, min values: 2.2545e-06, max values: 39.671, median values: 0.19943, and quantile values: 0.25 0.047336\n0.50 0.199430\n0.75 0.776430\nName: 14290, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6288139276843394, std values: 5.199137574692785, min values: 4.1551e-07, max values: 44.388, median values: 0.24974, and quantile values: 0.25 0.061059\n0.50 0.249740\n0.75 1.031850\nName: 14291, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.739708217651572, std values: 4.959697702995133, min values: 1.9613e-06, max values: 38.957, median values: 0.31109, and quantile values: 0.25 0.083014\n0.50 0.311090\n0.75 1.216500\nName: 14292, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5407574440216352, std values: 5.167554938331318, min values: 6.4714e-07, max values: 44.7, median values: 0.23801, and quantile values: 0.25 0.063666\n0.50 0.238010\n0.75 0.935420\nName: 14293, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2333790638002577, std values: 4.648852677709687, min values: 2.0811e-08, max values: 37.423, median values: 0.1721, and quantile values: 0.25 0.044187\n0.50 0.172100\n0.75 0.670290\nName: 14294, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3595195068938994, std values: 4.825271361313869, min values: 4.9983e-07, max values: 39.072, median values: 0.19997, and quantile values: 0.25 0.050739\n0.50 0.199970\n0.75 0.763600\nName: 14295, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6471498119902075, std values: 4.831246954914555, min values: 2.7083e-08, max values: 38.246, median values: 0.25962, and quantile values: 0.25 0.051412\n0.50 0.259620\n0.75 1.067500\nName: 14296, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4940541846191195, std values: 4.887612663102001, min values: 3.8804e-07, max values: 40.302, median values: 0.23344, and quantile values: 0.25 0.065094\n0.50 0.233440\n0.75 0.970165\nName: 14297, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5113886255679245, std values: 5.0829640320614455, min values: 5.1133e-06, max values: 40.927, median values: 0.22554, and quantile values: 0.25 0.061596\n0.50 0.225540\n0.75 0.852430\nName: 14298, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4514839291742136, std values: 4.751522154757921, min values: 1.0737e-06, max values: 37.913, median values: 0.21441, and quantile values: 0.25 0.062025\n0.50 0.214410\n0.75 0.874880\nName: 14299, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1885200994228933, std values: 4.736373494180707, min values: 4.0964e-07, max values: 39.048, median values: 0.12847, and quantile values: 0.25 0.039301\n0.50 0.128470\n0.75 0.561290\nName: 14300, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4300703026170443, std values: 4.756568567423775, min values: 9.3331e-07, max values: 37.884, median values: 0.20771, and quantile values: 0.25 0.056201\n0.50 0.207710\n0.75 0.835255\nName: 14301, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4822553145855346, std values: 4.927542960881912, min values: 1.1871e-06, max values: 39.24, median values: 0.22111, and quantile values: 0.25 0.063442\n0.50 0.221110\n0.75 0.915190\nName: 14302, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4939822651327042, std values: 4.8881843882108935, min values: 3.0224e-06, max values: 39.454, median values: 0.23009, and quantile values: 0.25 0.077057\n0.50 0.230090\n0.75 0.875290\nName: 14303, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2551302197677359, std values: 4.729898453146842, min values: 6.3307e-07, max values: 38.459, median values: 0.16963, and quantile values: 0.25 0.049895\n0.50 0.169630\n0.75 0.687850\nName: 14304, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3668411233572957, std values: 4.804708500601126, min values: 8.5251e-07, max values: 39.725, median values: 0.17093, and quantile values: 0.25 0.051147\n0.50 0.170930\n0.75 0.781875\nName: 14305, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.465130594519371, std values: 4.9383627052372825, min values: 9.6568e-07, max values: 40.238, median values: 0.22566, and quantile values: 0.25 0.053763\n0.50 0.225660\n0.75 0.892015\nName: 14306, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5185763811774216, std values: 4.96661386900873, min values: 1.4681e-07, max values: 41.105, median values: 0.20251, and quantile values: 0.25 0.059014\n0.50 0.202510\n0.75 0.966810\nName: 14307, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2380936975201258, std values: 4.708708364438103, min values: 1.4713e-06, max values: 39.593, median values: 0.16462, and quantile values: 0.25 0.04502\n0.50 0.16462\n0.75 0.64206\nName: 14308, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.506599195055346, std values: 4.9519530109484124, min values: 2.7239e-06, max values: 40.424, median values: 0.20852, and quantile values: 0.25 0.071837\n0.50 0.208520\n0.75 0.914745\nName: 14309, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5296111416597482, std values: 4.980309531763183, min values: 6.259e-07, max values: 40.647, median values: 0.24301, and quantile values: 0.25 0.064840\n0.50 0.243010\n0.75 0.882435\nName: 14310, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3171929322925848, std values: 4.8953869350930725, min values: 3.4121e-08, max values: 41.201, median values: 0.15569, and quantile values: 0.25 0.044223\n0.50 0.155690\n0.75 0.746255\nName: 14311, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3713670191767298, std values: 4.7571714832474035, min values: 2.0974e-06, max values: 39.928, median values: 0.20041, and quantile values: 0.25 0.052493\n0.50 0.200410\n0.75 0.753090\nName: 14312, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.562175529861006, std values: 5.116198177614428, min values: 6.696e-06, max values: 41.283, median values: 0.24603, and quantile values: 0.25 0.073463\n0.50 0.246030\n0.75 0.888820\nName: 14313, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.339379274355849, std values: 5.034973505799552, min values: 2.3268e-07, max values: 43.452, median values: 0.176, and quantile values: 0.25 0.04779\n0.50 0.17600\n0.75 0.68984\nName: 14314, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.608971453721384, std values: 4.966997448723245, min values: 1.2999e-06, max values: 39.423, median values: 0.27932, and quantile values: 0.25 0.074735\n0.50 0.279320\n0.75 1.096700\nName: 14315, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4285627723125784, std values: 4.9021159809148385, min values: 2.3251e-06, max values: 39.109, median values: 0.23561, and quantile values: 0.25 0.064736\n0.50 0.235610\n0.75 0.889400\nName: 14316, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.467545557545912, std values: 4.91330289848115, min values: 2.7912e-06, max values: 39.725, median values: 0.23882, and quantile values: 0.25 0.064903\n0.50 0.238820\n0.75 0.865510\nName: 14317, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.446794441791824, std values: 4.804148301106184, min values: 1.0776e-06, max values: 38.493, median values: 0.18236, and quantile values: 0.25 0.059745\n0.50 0.182360\n0.75 0.782840\nName: 14318, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5477317701584903, std values: 5.059946287237124, min values: 1.9508e-06, max values: 42.127, median values: 0.22992, and quantile values: 0.25 0.065963\n0.50 0.229920\n0.75 0.950115\nName: 14319, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.483694289063522, std values: 4.958727963168565, min values: 2.4372e-06, max values: 39.689, median values: 0.19832, and quantile values: 0.25 0.054573\n0.50 0.198320\n0.75 0.890470\nName: 14320, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4548562703301258, std values: 4.6788386901779075, min values: 1.77e-08, max values: 36.776, median values: 0.16936, and quantile values: 0.25 0.037586\n0.50 0.169360\n0.75 0.894070\nName: 14321, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6551628275987422, std values: 5.053898648091602, min values: 1.4706e-06, max values: 40.843, median values: 0.282, and quantile values: 0.25 0.086632\n0.50 0.282000\n0.75 1.077450\nName: 14322, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5256556288050316, std values: 4.8840113797652185, min values: 0.0, max values: 38.541, median values: 0.25156, and quantile values: 0.25 0.071429\n0.50 0.251560\n0.75 0.983960\nName: 14323, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4385834502554715, std values: 5.100967328853219, min values: 1.4188e-07, max values: 44.861, median values: 0.19665, and quantile values: 0.25 0.050693\n0.50 0.196650\n0.75 0.808255\nName: 14324, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.675198018581761, std values: 5.115408750273365, min values: 1.8269e-06, max values: 41.717, median values: 0.24895, and quantile values: 0.25 0.073691\n0.50 0.248950\n0.75 1.178350\nName: 14325, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.547473037125786, std values: 4.8901399268454036, min values: 1.6301e-06, max values: 38.862, median values: 0.24108, and quantile values: 0.25 0.063211\n0.50 0.241080\n0.75 1.026835\nName: 14326, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5370899102285533, std values: 4.934912373868566, min values: 6.1364e-07, max values: 39.81, median values: 0.25339, and quantile values: 0.25 0.067933\n0.50 0.253390\n0.75 0.953945\nName: 14327, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3682011733008614, std values: 4.69602861246931, min values: 1.8137e-08, max values: 37.891, median values: 0.1939, and quantile values: 0.25 0.041509\n0.50 0.193900\n0.75 0.826765\nName: 14328, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4184086553098743, std values: 4.758133625025791, min values: 7.1777e-07, max values: 37.758, median values: 0.21302, and quantile values: 0.25 0.062596\n0.50 0.213020\n0.75 0.851345\nName: 14329, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3736776244364777, std values: 4.88967554854401, min values: 2.2042e-06, max values: 40.117, median values: 0.20992, and quantile values: 0.25 0.055592\n0.50 0.209920\n0.75 0.721440\nName: 14330, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.756491384879874, std values: 5.3070582821067775, min values: 3.4805e-06, max values: 44.083, median values: 0.28771, and quantile values: 0.25 0.088136\n0.50 0.287710\n0.75 1.173350\nName: 14331, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.324177667581761, std values: 4.840319462362058, min values: 1.5305e-06, max values: 39.336, median values: 0.18331, and quantile values: 0.25 0.056626\n0.50 0.183310\n0.75 0.685405\nName: 14332, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3485363530339625, std values: 4.854559972353405, min values: 1.4321e-06, max values: 39.0, median values: 0.19352, and quantile values: 0.25 0.054639\n0.50 0.193520\n0.75 0.747055\nName: 14333, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4300902326138365, std values: 4.888148264306157, min values: 3.5777e-06, max values: 39.851, median values: 0.21368, and quantile values: 0.25 0.060455\n0.50 0.213680\n0.75 0.827600\nName: 14334, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3149680373226416, std values: 4.8195679610716615, min values: 1.1441e-06, max values: 38.728, median values: 0.15852, and quantile values: 0.25 0.052895\n0.50 0.158520\n0.75 0.713515\nName: 14335, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4542945372742138, std values: 5.075596157825715, min values: 3.5133e-06, max values: 40.586, median values: 0.22354, and quantile values: 0.25 0.066853\n0.50 0.223540\n0.75 0.764120\nName: 14336, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.598352885268805, std values: 4.844671380634817, min values: 7.9764e-07, max values: 37.692, median values: 0.2775, and quantile values: 0.25 0.075474\n0.50 0.277500\n0.75 1.100850\nName: 14337, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6062995233119497, std values: 4.92461721998197, min values: 2.6355e-06, max values: 39.096, median values: 0.31451, and quantile values: 0.25 0.075261\n0.50 0.314510\n0.75 1.042290\nName: 14338, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4704708152314465, std values: 4.988414454074633, min values: 3.5169e-06, max values: 40.896, median values: 0.20029, and quantile values: 0.25 0.056927\n0.50 0.200290\n0.75 0.788690\nName: 14339, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5647323822339623, std values: 5.084382254346554, min values: 3.6251e-06, max values: 41.261, median values: 0.23656, and quantile values: 0.25 0.075782\n0.50 0.236560\n0.75 0.954805\nName: 14340, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.677494330129245, std values: 5.017719334487886, min values: 4.1605e-07, max values: 40.167, median values: 0.27819, and quantile values: 0.25 0.067727\n0.50 0.278190\n0.75 1.174800\nName: 14341, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.442778306080503, std values: 4.984514147087286, min values: 1.3575e-06, max values: 40.539, median values: 0.19687, and quantile values: 0.25 0.058087\n0.50 0.196870\n0.75 0.842150\nName: 14342, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.2787192029421384, std values: 5.962176857915185, min values: 7.5508e-06, max values: 48.013, median values: 0.437, and quantile values: 0.25 0.12533\n0.50 0.43700\n0.75 1.56595\nName: 14343, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5154768878899998, std values: 4.802776590680515, min values: 7.5421e-07, max values: 38.247, median values: 0.23017, and quantile values: 0.25 0.059626\n0.50 0.230170\n0.75 0.942465\nName: 14344, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4595429122447106, std values: 4.959819038045146, min values: 2.8709e-08, max values: 42.062, median values: 0.20159, and quantile values: 0.25 0.049470\n0.50 0.201590\n0.75 0.851405\nName: 14345, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3002771976403336, std values: 4.67421046318349, min values: 1.6383e-08, max values: 37.362, median values: 0.14032, and quantile values: 0.25 0.039575\n0.50 0.140320\n0.75 0.692375\nName: 14346, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6170399847597483, std values: 5.245011744936843, min values: 3.0884e-06, max values: 43.364, median values: 0.26872, and quantile values: 0.25 0.068798\n0.50 0.268720\n0.75 1.059650\nName: 14347, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4029559454651257, std values: 4.747529869090654, min values: 4.1465e-08, max values: 37.841, median values: 0.1748, and quantile values: 0.25 0.049409\n0.50 0.174800\n0.75 0.813255\nName: 14348, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6485213645792451, std values: 5.120450427740588, min values: 2.1519e-06, max values: 42.346, median values: 0.29332, and quantile values: 0.25 0.07234\n0.50 0.29332\n0.75 1.09025\nName: 14349, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7170357616064529, std values: 5.070752786597501, min values: 2.7826e-08, max values: 41.154, median values: 0.28912, and quantile values: 0.25 0.068923\n0.50 0.289120\n0.75 1.164550\nName: 14350, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5234509942647798, std values: 4.757541217199078, min values: 3.1539e-06, max values: 39.656, median values: 0.25482, and quantile values: 0.25 0.077264\n0.50 0.254820\n0.75 0.959520\nName: 14351, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6867540675742139, std values: 5.104813021799211, min values: 1.3505e-06, max values: 40.426, median values: 0.28348, and quantile values: 0.25 0.072263\n0.50 0.283480\n0.75 1.201950\nName: 14352, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.520450950726434, std values: 5.07205448340708, min values: 1.7813e-08, max values: 43.701, median values: 0.19796, and quantile values: 0.25 0.044270\n0.50 0.197960\n0.75 0.819675\nName: 14353, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2161398639124528, std values: 4.8630186128629305, min values: 6.791e-07, max values: 41.628, median values: 0.14508, and quantile values: 0.25 0.037811\n0.50 0.145080\n0.75 0.570715\nName: 14354, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5341606546937108, std values: 5.015705049707739, min values: 1.5678e-06, max values: 40.252, median values: 0.22125, and quantile values: 0.25 0.068172\n0.50 0.221250\n0.75 0.971880\nName: 14355, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4573719469396227, std values: 5.029366010341599, min values: 3.0109e-06, max values: 40.461, median values: 0.21323, and quantile values: 0.25 0.069010\n0.50 0.213230\n0.75 0.826095\nName: 14356, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.663531441377862, std values: 5.1717236421298285, min values: 4.7518e-07, max values: 44.047, median values: 0.22532, and quantile values: 0.25 0.060677\n0.50 0.225320\n0.75 1.052340\nName: 14357, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3806626362640693, std values: 4.613279591197788, min values: 4.6987e-08, max values: 37.259, median values: 0.19158, and quantile values: 0.25 0.049377\n0.50 0.191580\n0.75 0.817535\nName: 14358, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5996712184207547, std values: 5.1519877903871425, min values: 3.0507e-06, max values: 41.93, median values: 0.27124, and quantile values: 0.25 0.076254\n0.50 0.271240\n0.75 0.945905\nName: 14359, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4344234722767297, std values: 4.717809006245412, min values: 6.632e-07, max values: 37.859, median values: 0.2227, and quantile values: 0.25 0.063442\n0.50 0.222700\n0.75 0.875985\nName: 14360, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7495241147737108, std values: 5.055887143870059, min values: 7.9202e-07, max values: 40.176, median values: 0.31461, and quantile values: 0.25 0.077573\n0.50 0.314610\n0.75 1.296950\nName: 14361, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.254443096646038, std values: 4.6397334200638065, min values: 5.4812e-07, max values: 37.743, median values: 0.15135, and quantile values: 0.25 0.047157\n0.50 0.151350\n0.75 0.616140\nName: 14362, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6853180906927043, std values: 5.023997283138284, min values: 9.3364e-07, max values: 39.902, median values: 0.24183, and quantile values: 0.25 0.065492\n0.50 0.241830\n0.75 1.147200\nName: 14363, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.341613680322522, std values: 4.576553577541366, min values: 0.0, max values: 36.23, median values: 0.1792, and quantile values: 0.25 0.043307\n0.50 0.179200\n0.75 0.736995\nName: 14364, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8555151492987418, std values: 5.678921753206873, min values: 2.1001e-06, max values: 50.649, median values: 0.29992, and quantile values: 0.25 0.089183\n0.50 0.299920\n0.75 1.268200\nName: 14365, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.316559480034654, std values: 4.728193201538023, min values: 3.3361e-07, max values: 38.361, median values: 0.2062, and quantile values: 0.25 0.052143\n0.50 0.206200\n0.75 0.755555\nName: 14366, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4798420863322013, std values: 4.706798760197696, min values: 3.636e-07, max values: 36.999, median values: 0.23104, and quantile values: 0.25 0.052765\n0.50 0.231040\n0.75 0.895770\nName: 14367, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.571434872965409, std values: 5.3088393586296325, min values: 1.0371e-06, max values: 46.68, median values: 0.21624, and quantile values: 0.25 0.067082\n0.50 0.216240\n0.75 0.914480\nName: 14368, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5771526535528302, std values: 5.145791646958791, min values: 1.7494e-06, max values: 42.466, median values: 0.22469, and quantile values: 0.25 0.067108\n0.50 0.224690\n0.75 0.981455\nName: 14369, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3389155109098112, std values: 4.9117654177656345, min values: 3.8566e-07, max values: 40.526, median values: 0.17899, and quantile values: 0.25 0.046317\n0.50 0.178990\n0.75 0.735220\nName: 14370, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4345243538465409, std values: 4.9742605586746285, min values: 3.361e-06, max values: 41.024, median values: 0.21493, and quantile values: 0.25 0.065618\n0.50 0.214930\n0.75 0.795985\nName: 14371, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.204994331982132, std values: 4.623699991375872, min values: 2.1839e-08, max values: 37.524, median values: 0.14586, and quantile values: 0.25 0.035523\n0.50 0.145860\n0.75 0.612350\nName: 14372, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5381319971271696, std values: 4.730563442816157, min values: 1.9664e-07, max values: 36.733, median values: 0.18514, and quantile values: 0.25 0.048699\n0.50 0.185140\n0.75 0.938725\nName: 14373, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.402970930211321, std values: 4.8483853527891245, min values: 2.5884e-06, max values: 39.567, median values: 0.19715, and quantile values: 0.25 0.064544\n0.50 0.197150\n0.75 0.791110\nName: 14374, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.798665532338994, std values: 5.302869119602846, min values: 5.9209e-06, max values: 41.354, median values: 0.30965, and quantile values: 0.25 0.083296\n0.50 0.309650\n0.75 1.162800\nName: 14375, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3962221346715724, std values: 4.992202599625845, min values: 8.9948e-07, max values: 42.011, median values: 0.20484, and quantile values: 0.25 0.059872\n0.50 0.204840\n0.75 0.778090\nName: 14376, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4422004819393899, std values: 4.9047695777699385, min values: 1.8493e-08, max values: 41.03, median values: 0.18796, and quantile values: 0.25 0.049653\n0.50 0.187960\n0.75 0.822925\nName: 14377, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4659050690314468, std values: 5.098559981465358, min values: 2.6677e-06, max values: 42.634, median values: 0.21661, and quantile values: 0.25 0.063571\n0.50 0.216610\n0.75 0.865840\nName: 14378, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4147328878591194, std values: 4.945362553335329, min values: 1.2461e-06, max values: 40.142, median values: 0.18284, and quantile values: 0.25 0.062085\n0.50 0.182840\n0.75 0.845030\nName: 14379, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5304228344786166, std values: 4.908985016089225, min values: 4.0857e-06, max values: 40.326, median values: 0.2494, and quantile values: 0.25 0.077402\n0.50 0.249400\n0.75 0.881885\nName: 14380, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.380459983633333, std values: 4.772390688894821, min values: 1.1335e-06, max values: 38.36, median values: 0.21419, and quantile values: 0.25 0.058806\n0.50 0.214190\n0.75 0.808580\nName: 14381, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5427569427463521, std values: 5.203341015533864, min values: 5.9247e-07, max values: 45.703, median values: 0.21694, and quantile values: 0.25 0.058166\n0.50 0.216940\n0.75 0.905370\nName: 14382, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3578872725943396, std values: 4.967400881266383, min values: 2.2947e-06, max values: 40.448, median values: 0.20609, and quantile values: 0.25 0.051918\n0.50 0.206090\n0.75 0.742835\nName: 14383, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5217454342639622, std values: 5.004931855456195, min values: 7.4527e-07, max values: 41.198, median values: 0.2134, and quantile values: 0.25 0.058377\n0.50 0.213400\n0.75 1.001565\nName: 14384, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5345457664440252, std values: 5.048480535843816, min values: 5.5738e-06, max values: 41.256, median values: 0.22467, and quantile values: 0.25 0.07054\n0.50 0.22467\n0.75 0.82942\nName: 14385, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3177647296698114, std values: 4.589581868065182, min values: 1.6138e-06, max values: 38.59, median values: 0.1945, and quantile values: 0.25 0.059936\n0.50 0.194500\n0.75 0.757425\nName: 14386, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5285043956138364, std values: 5.011923572135576, min values: 4.0273e-06, max values: 40.175, median values: 0.23319, and quantile values: 0.25 0.070159\n0.50 0.233190\n0.75 0.891380\nName: 14387, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.670062181973585, std values: 5.0383038949739865, min values: 2.2021e-06, max values: 39.273, median values: 0.27933, and quantile values: 0.25 0.077766\n0.50 0.279330\n0.75 1.115350\nName: 14388, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1696866747811319, std values: 4.603356837181833, min values: 1.7373e-07, max values: 38.058, median values: 0.13619, and quantile values: 0.25 0.031980\n0.50 0.136190\n0.75 0.526285\nName: 14389, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4445722390113207, std values: 5.004153045067379, min values: 2.2367e-06, max values: 40.077, median values: 0.21806, and quantile values: 0.25 0.059861\n0.50 0.218060\n0.75 0.800870\nName: 14390, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3509525046301887, std values: 4.940389030802577, min values: 1.343e-06, max values: 40.087, median values: 0.17902, and quantile values: 0.25 0.046449\n0.50 0.179020\n0.75 0.715855\nName: 14391, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4335318262320755, std values: 4.712626936447582, min values: 1.4685e-06, max values: 39.351, median values: 0.20134, and quantile values: 0.25 0.065017\n0.50 0.201340\n0.75 0.864330\nName: 14392, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6728161430340251, std values: 5.142784476380891, min values: 6.0361e-07, max values: 43.237, median values: 0.22583, and quantile values: 0.25 0.06395\n0.50 0.22583\n0.75 1.05190\nName: 14393, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.635593211701258, std values: 5.341354751893382, min values: 1.8036e-06, max values: 46.276, median values: 0.26146, and quantile values: 0.25 0.074765\n0.50 0.261460\n0.75 1.023500\nName: 14394, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5763490675491194, std values: 5.102328890516597, min values: 6.2001e-07, max values: 42.748, median values: 0.27156, and quantile values: 0.25 0.067276\n0.50 0.271560\n0.75 1.023310\nName: 14395, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.460700982518239, std values: 4.973435130403925, min values: 1.691e-07, max values: 41.653, median values: 0.18062, and quantile values: 0.25 0.053433\n0.50 0.180620\n0.75 0.837745\nName: 14396, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6001339792817608, std values: 5.218127377937122, min values: 4.2769e-06, max values: 42.924, median values: 0.27479, and quantile values: 0.25 0.073605\n0.50 0.274790\n0.75 0.899085\nName: 14397, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3465703477044026, std values: 4.915361014582273, min values: 1.2595e-06, max values: 39.73, median values: 0.17353, and quantile values: 0.25 0.046565\n0.50 0.173530\n0.75 0.791680\nName: 14398, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3051536647981132, std values: 4.793940150581957, min values: 1.8064e-06, max values: 38.627, median values: 0.16519, and quantile values: 0.25 0.051287\n0.50 0.165190\n0.75 0.647480\nName: 14399, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3764082474718866, std values: 4.428328718160751, min values: 4.7253e-07, max values: 35.901, median values: 0.19275, and quantile values: 0.25 0.047451\n0.50 0.192750\n0.75 0.802950\nName: 14400, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4054366450751572, std values: 5.0831922329490915, min values: 7.1715e-07, max values: 44.312, median values: 0.18785, and quantile values: 0.25 0.057466\n0.50 0.187850\n0.75 0.761875\nName: 14401, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5374950937124525, std values: 4.773330196336424, min values: 8.2378e-07, max values: 37.483, median values: 0.25092, and quantile values: 0.25 0.073148\n0.50 0.250920\n0.75 1.032450\nName: 14402, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.554153184176101, std values: 4.847583800306704, min values: 2.1729e-06, max values: 38.515, median values: 0.27888, and quantile values: 0.25 0.073369\n0.50 0.278880\n0.75 1.020000\nName: 14403, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6230118658622013, std values: 5.0715282101131685, min values: 1.7349e-07, max values: 42.198, median values: 0.24476, and quantile values: 0.25 0.066007\n0.50 0.244760\n0.75 1.063650\nName: 14404, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.341970467261635, std values: 4.965098091074157, min values: 2.3945e-06, max values: 40.442, median values: 0.19645, and quantile values: 0.25 0.055301\n0.50 0.196450\n0.75 0.687515\nName: 14405, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2951525791320755, std values: 4.884026694586635, min values: 1.134e-06, max values: 40.017, median values: 0.16301, and quantile values: 0.25 0.054967\n0.50 0.163010\n0.75 0.669385\nName: 14406, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.552258874563522, std values: 4.857067169753804, min values: 1.8595e-06, max values: 38.938, median values: 0.25043, and quantile values: 0.25 0.063977\n0.50 0.250430\n0.75 1.029950\nName: 14407, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.500220467109434, std values: 5.005959638613552, min values: 7.1824e-06, max values: 41.936, median values: 0.23601, and quantile values: 0.25 0.065573\n0.50 0.236010\n0.75 0.777040\nName: 14408, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4978247989055848, std values: 4.786275693987553, min values: 1.8699e-08, max values: 38.748, median values: 0.22976, and quantile values: 0.25 0.050544\n0.50 0.229760\n0.75 0.949750\nName: 14409, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3470822988408804, std values: 5.1126469074535015, min values: 3.358e-07, max values: 45.25, median values: 0.16371, and quantile values: 0.25 0.043946\n0.50 0.163710\n0.75 0.681715\nName: 14410, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5399728602353397, std values: 5.062644084782582, min values: 2.8009e-08, max values: 43.274, median values: 0.21699, and quantile values: 0.25 0.055748\n0.50 0.216990\n0.75 0.984750\nName: 14411, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3244148254627044, std values: 4.558759603477202, min values: 7.5047e-07, max values: 37.122, median values: 0.17327, and quantile values: 0.25 0.058681\n0.50 0.173270\n0.75 0.790985\nName: 14412, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5932290179484276, std values: 4.973113896571539, min values: 1.6742e-06, max values: 39.392, median values: 0.25568, and quantile values: 0.25 0.071252\n0.50 0.255680\n0.75 1.030995\nName: 14413, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6402454410786165, std values: 5.124528351706777, min values: 1.3489e-06, max values: 41.902, median values: 0.23977, and quantile values: 0.25 0.072025\n0.50 0.239770\n0.75 1.079150\nName: 14414, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.411690724889736, std values: 5.147391115991423, min values: 1.5468e-08, max values: 46.301, median values: 0.17052, and quantile values: 0.25 0.042993\n0.50 0.170520\n0.75 0.680970\nName: 14415, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.66888490758805, std values: 5.078551053396905, min values: 1.264e-06, max values: 40.814, median values: 0.24939, and quantile values: 0.25 0.063418\n0.50 0.249390\n0.75 1.183750\nName: 14416, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3642488507584905, std values: 4.880458147101505, min values: 1.5399e-06, max values: 39.169, median values: 0.19892, and quantile values: 0.25 0.055309\n0.50 0.198920\n0.75 0.751190\nName: 14417, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2733869414649683, std values: 4.750412531509931, min values: 4.7513e-07, max values: 38.615, median values: 0.16673, and quantile values: 0.25 0.048062\n0.50 0.166730\n0.75 0.648825\nName: 14418, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2452313308547172, std values: 4.850524274441851, min values: 2.5974e-06, max values: 40.158, median values: 0.16987, and quantile values: 0.25 0.049275\n0.50 0.169870\n0.75 0.593350\nName: 14419, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.342212656708805, std values: 5.017056196663146, min values: 2.0502e-06, max values: 41.849, median values: 0.1772, and quantile values: 0.25 0.055631\n0.50 0.177200\n0.75 0.703440\nName: 14420, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3854479548955976, std values: 4.787087611134938, min values: 2.8479e-06, max values: 40.102, median values: 0.20681, and quantile values: 0.25 0.063901\n0.50 0.206810\n0.75 0.770645\nName: 14421, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5710115241169813, std values: 5.038680102647867, min values: 2.3388e-06, max values: 40.311, median values: 0.26874, and quantile values: 0.25 0.072265\n0.50 0.268740\n0.75 0.953305\nName: 14422, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.344534246227673, std values: 4.658627805580892, min values: 1.0421e-06, max values: 38.466, median values: 0.16911, and quantile values: 0.25 0.058496\n0.50 0.169110\n0.75 0.766260\nName: 14423, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.405407204945283, std values: 5.117569251270499, min values: 2.982e-06, max values: 41.464, median values: 0.1981, and quantile values: 0.25 0.060663\n0.50 0.198100\n0.75 0.713750\nName: 14424, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7611773557794967, std values: 5.334966377487825, min values: 2.9384e-07, max values: 46.018, median values: 0.27819, and quantile values: 0.25 0.077571\n0.50 0.278190\n0.75 1.235200\nName: 14425, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4782625965742138, std values: 5.069639074648256, min values: 1.7921e-06, max values: 42.512, median values: 0.2385, and quantile values: 0.25 0.062877\n0.50 0.238500\n0.75 0.888720\nName: 14426, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.617190389094654, std values: 5.027735479241677, min values: 3.0575e-07, max values: 41.726, median values: 0.26902, and quantile values: 0.25 0.070717\n0.50 0.269020\n0.75 1.033700\nName: 14427, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.754150244289308, std values: 5.123684410659149, min values: 2.7067e-06, max values: 39.72, median values: 0.29921, and quantile values: 0.25 0.082826\n0.50 0.299210\n0.75 1.201750\nName: 14428, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5108717307440251, std values: 4.967333803175014, min values: 3.1152e-06, max values: 40.443, median values: 0.22806, and quantile values: 0.25 0.070467\n0.50 0.228060\n0.75 0.886665\nName: 14429, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.467831677236478, std values: 4.950671912218968, min values: 7.908e-07, max values: 40.293, median values: 0.22934, and quantile values: 0.25 0.06193\n0.50 0.22934\n0.75 0.87312\nName: 14430, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4937321443644653, std values: 4.919389451636644, min values: 6.9135e-07, max values: 40.037, median values: 0.25829, and quantile values: 0.25 0.064715\n0.50 0.258290\n0.75 0.895095\nName: 14431, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5211345224855344, std values: 5.014088236573641, min values: 1.7556e-06, max values: 40.425, median values: 0.23014, and quantile values: 0.25 0.067333\n0.50 0.230140\n0.75 0.911150\nName: 14432, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5300657920886793, std values: 4.846942528032568, min values: 3.3645e-06, max values: 39.76, median values: 0.26005, and quantile values: 0.25 0.072867\n0.50 0.260050\n0.75 1.027200\nName: 14433, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5256047324830189, std values: 5.239595228611755, min values: 2.583e-06, max values: 44.396, median values: 0.22048, and quantile values: 0.25 0.060303\n0.50 0.220480\n0.75 0.903570\nName: 14434, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4286221268385535, std values: 4.854976629953378, min values: 1.3693e-07, max values: 38.729, median values: 0.19733, and quantile values: 0.25 0.051782\n0.50 0.197330\n0.75 0.943500\nName: 14435, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.339625776083459, std values: 4.591023045623837, min values: 5.8757e-07, max values: 37.639, median values: 0.1945, and quantile values: 0.25 0.063101\n0.50 0.194500\n0.75 0.810515\nName: 14436, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6089855160421382, std values: 5.237616690493583, min values: 1.3909e-06, max values: 45.033, median values: 0.24622, and quantile values: 0.25 0.076531\n0.50 0.246220\n0.75 1.003770\nName: 14437, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6118762943238993, std values: 5.25392155306069, min values: 1.7287e-06, max values: 44.846, median values: 0.26207, and quantile values: 0.25 0.072432\n0.50 0.262070\n0.75 0.989950\nName: 14438, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3588142765645914, std values: 4.728718234902362, min values: 3.8667e-07, max values: 38.088, median values: 0.18191, and quantile values: 0.25 0.059331\n0.50 0.181910\n0.75 0.804530\nName: 14439, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4347592093000001, std values: 4.82636461255217, min values: 1.1026e-06, max values: 38.681, median values: 0.2173, and quantile values: 0.25 0.058679\n0.50 0.217300\n0.75 0.823090\nName: 14440, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3751025843735347, std values: 4.626780882023749, min values: 1.8582e-08, max values: 36.901, median values: 0.22223, and quantile values: 0.25 0.046740\n0.50 0.222230\n0.75 0.867075\nName: 14441, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3498658280949685, std values: 4.809778856581583, min values: 1.9045e-06, max values: 39.411, median values: 0.20148, and quantile values: 0.25 0.056120\n0.50 0.201480\n0.75 0.802135\nName: 14442, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.29769372763805, std values: 4.737293460472548, min values: 1.7875e-07, max values: 38.374, median values: 0.15819, and quantile values: 0.25 0.041064\n0.50 0.158190\n0.75 0.671865\nName: 14443, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5570062552893082, std values: 4.919188164299408, min values: 4.2709e-06, max values: 40.056, median values: 0.26528, and quantile values: 0.25 0.068084\n0.50 0.265280\n0.75 0.938885\nName: 14444, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6786564773792454, std values: 5.1100665823719575, min values: 3.1873e-06, max values: 41.22, median values: 0.29876, and quantile values: 0.25 0.079204\n0.50 0.298760\n0.75 1.126650\nName: 14445, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5291344901641508, std values: 4.9595699217143006, min values: 4.622e-06, max values: 40.438, median values: 0.2413, and quantile values: 0.25 0.072177\n0.50 0.241300\n0.75 0.845820\nName: 14446, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3692694964490064, std values: 4.848609761437373, min values: 2.7982e-08, max values: 40.611, median values: 0.17194, and quantile values: 0.25 0.039854\n0.50 0.171940\n0.75 0.773040\nName: 14447, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.557931204414151, std values: 4.781824387384972, min values: 9.3105e-07, max values: 38.343, median values: 0.25947, and quantile values: 0.25 0.081508\n0.50 0.259470\n0.75 1.040850\nName: 14448, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4381242501325158, std values: 4.707530395508841, min values: 5.7597e-07, max values: 37.157, median values: 0.23014, and quantile values: 0.25 0.063743\n0.50 0.230140\n0.75 0.885300\nName: 14449, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6954865239226415, std values: 5.307692673769417, min values: 3.5367e-06, max values: 43.011, median values: 0.28933, and quantile values: 0.25 0.072374\n0.50 0.289330\n0.75 1.060020\nName: 14450, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3146148149022954, std values: 4.407452445197438, min values: 1.4249e-08, max values: 34.388, median values: 0.13597, and quantile values: 0.25 0.025482\n0.50 0.135970\n0.75 0.676025\nName: 14451, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5956252417756605, std values: 4.990084025219733, min values: 7.5873e-07, max values: 40.235, median values: 0.25012, and quantile values: 0.25 0.063755\n0.50 0.250120\n0.75 1.078635\nName: 14452, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5249772258685534, std values: 5.106908184351389, min values: 4.0094e-06, max values: 41.593, median values: 0.23002, and quantile values: 0.25 0.071662\n0.50 0.230020\n0.75 0.862360\nName: 14453, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8825926707081757, std values: 5.357190064762871, min values: 2.2334e-06, max values: 43.791, median values: 0.30122, and quantile values: 0.25 0.088888\n0.50 0.301220\n0.75 1.303850\nName: 14454, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2456894001584842, std values: 4.682534789254727, min values: 4.4829e-08, max values: 39.34, median values: 0.11598, and quantile values: 0.25 0.026859\n0.50 0.115980\n0.75 0.586040\nName: 14455, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4548166664044027, std values: 5.0545161580917, min values: 3.0921e-06, max values: 41.014, median values: 0.2154, and quantile values: 0.25 0.06235\n0.50 0.21540\n0.75 0.80985\nName: 14456, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3459365369842766, std values: 4.820503205844797, min values: 2.165e-06, max values: 40.184, median values: 0.20334, and quantile values: 0.25 0.058548\n0.50 0.203340\n0.75 0.742150\nName: 14457, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3584960365651004, std values: 4.76122531751921, min values: 2.1005e-08, max values: 40.098, median values: 0.17573, and quantile values: 0.25 0.036985\n0.50 0.175730\n0.75 0.752615\nName: 14458, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7014155922811318, std values: 5.323395231648191, min values: 2.8931e-06, max values: 44.676, median values: 0.27403, and quantile values: 0.25 0.079498\n0.50 0.274030\n0.75 1.114200\nName: 14459, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.653445255454717, std values: 4.896366392094461, min values: 1.961e-06, max values: 38.827, median values: 0.26958, and quantile values: 0.25 0.080525\n0.50 0.269580\n0.75 1.111565\nName: 14460, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6291065999509435, std values: 4.992653782205863, min values: 2.5441e-06, max values: 39.408, median values: 0.30193, and quantile values: 0.25 0.07858\n0.50 0.30193\n0.75 1.20670\nName: 14461, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5214888914803772, std values: 4.931137452053841, min values: 5.2658e-07, max values: 41.091, median values: 0.21453, and quantile values: 0.25 0.060117\n0.50 0.214530\n0.75 0.908000\nName: 14462, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5674216381503145, std values: 5.108383317877703, min values: 1.8318e-06, max values: 42.59, median values: 0.24995, and quantile values: 0.25 0.073566\n0.50 0.249950\n0.75 0.972560\nName: 14463, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3085483369408806, std values: 4.8873120616863055, min values: 3.4152e-06, max values: 40.735, median values: 0.17964, and quantile values: 0.25 0.052625\n0.50 0.179640\n0.75 0.658365\nName: 14464, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.653959537425157, std values: 4.881840964068632, min values: 2.491e-06, max values: 38.028, median values: 0.29361, and quantile values: 0.25 0.08056\n0.50 0.29361\n0.75 1.18025\nName: 14465, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.574439547410063, std values: 5.024091783367933, min values: 2.267e-06, max values: 40.024, median values: 0.25513, and quantile values: 0.25 0.070711\n0.50 0.255130\n0.75 1.007050\nName: 14466, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5264013685786164, std values: 4.640383647795203, min values: 2.989e-06, max values: 38.758, median values: 0.25331, and quantile values: 0.25 0.071009\n0.50 0.253310\n0.75 0.962630\nName: 14467, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3796920328289937, std values: 4.847379887775316, min values: 2.0331e-07, max values: 39.779, median values: 0.19828, and quantile values: 0.25 0.057999\n0.50 0.198280\n0.75 0.803690\nName: 14468, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7055129387515724, std values: 5.1725639161883015, min values: 1.2416e-06, max values: 42.473, median values: 0.26068, and quantile values: 0.25 0.069601\n0.50 0.260680\n0.75 1.220150\nName: 14469, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5468100156729558, std values: 4.863226080691746, min values: 2.0157e-06, max values: 38.983, median values: 0.22441, and quantile values: 0.25 0.069976\n0.50 0.224410\n0.75 0.989430\nName: 14470, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5365149631578616, std values: 4.823656205702959, min values: 2.1801e-06, max values: 38.712, median values: 0.2488, and quantile values: 0.25 0.07150\n0.50 0.24880\n0.75 0.99136\nName: 14471, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3478778932185536, std values: 4.7448419077009225, min values: 5.6705e-07, max values: 37.82, median values: 0.18674, and quantile values: 0.25 0.055007\n0.50 0.186740\n0.75 0.773650\nName: 14472, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.660083981945912, std values: 5.222373681043898, min values: 4.1399e-06, max values: 42.449, median values: 0.26561, and quantile values: 0.25 0.074835\n0.50 0.265610\n0.75 1.055800\nName: 14473, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.646663206662893, std values: 5.170249371103881, min values: 4.2603e-06, max values: 40.79, median values: 0.26681, and quantile values: 0.25 0.070490\n0.50 0.266810\n0.75 1.018765\nName: 14474, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4829693445891192, std values: 4.726108757565446, min values: 4.0157e-07, max values: 37.028, median values: 0.25239, and quantile values: 0.25 0.064139\n0.50 0.252390\n0.75 0.961255\nName: 14475, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3618950554812577, std values: 4.81968314103677, min values: 5.6412e-07, max values: 39.158, median values: 0.18427, and quantile values: 0.25 0.053274\n0.50 0.184270\n0.75 0.801145\nName: 14476, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7329023661515723, std values: 5.233247007224786, min values: 9.402e-07, max values: 43.347, median values: 0.28588, and quantile values: 0.25 0.072837\n0.50 0.285880\n0.75 1.137900\nName: 14477, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6438701658773582, std values: 5.0232059506967115, min values: 1.1587e-06, max values: 40.382, median values: 0.26946, and quantile values: 0.25 0.079801\n0.50 0.269460\n0.75 1.106100\nName: 14478, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6369185239616348, std values: 5.023284407179733, min values: 3.9816e-06, max values: 40.115, median values: 0.27715, and quantile values: 0.25 0.070508\n0.50 0.277150\n0.75 1.103950\nName: 14479, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.84619876551761, std values: 5.2534915892486795, min values: 4.4639e-06, max values: 40.934, median values: 0.31189, and quantile values: 0.25 0.084495\n0.50 0.311890\n0.75 1.301400\nName: 14480, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5486344381332138, std values: 5.125214256218269, min values: 1.5881e-08, max values: 44.368, median values: 0.16726, and quantile values: 0.25 0.048879\n0.50 0.167260\n0.75 0.917305\nName: 14481, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.673188799334591, std values: 5.094463492390117, min values: 2.5145e-06, max values: 40.797, median values: 0.29154, and quantile values: 0.25 0.081536\n0.50 0.291540\n0.75 1.118700\nName: 14482, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4214341163683648, std values: 4.807171474454275, min values: 3.9567e-07, max values: 38.472, median values: 0.21568, and quantile values: 0.25 0.051381\n0.50 0.215680\n0.75 0.888815\nName: 14483, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.692339364974214, std values: 5.071318392238091, min values: 5.9953e-06, max values: 40.893, median values: 0.29281, and quantile values: 0.25 0.074054\n0.50 0.292810\n0.75 1.070500\nName: 14484, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6001354706138367, std values: 5.157837704686549, min values: 6.4972e-06, max values: 42.283, median values: 0.23329, and quantile values: 0.25 0.060187\n0.50 0.233290\n0.75 0.919820\nName: 14485, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5294592121591195, std values: 5.199216413273315, min values: 1.6768e-06, max values: 44.896, median values: 0.22178, and quantile values: 0.25 0.069509\n0.50 0.221780\n0.75 0.930565\nName: 14486, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.488205488274151, std values: 5.1460299465982, min values: 2.0949e-07, max values: 44.352, median values: 0.17976, and quantile values: 0.25 0.046344\n0.50 0.179760\n0.75 0.802655\nName: 14487, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.178098538231761, std values: 4.610170210025905, min values: 1.707e-07, max values: 37.024, median values: 0.13778, and quantile values: 0.25 0.039813\n0.50 0.137780\n0.75 0.567995\nName: 14488, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2324370869940882, std values: 4.494889552719668, min values: 5.2816e-07, max values: 38.839, median values: 0.17292, and quantile values: 0.25 0.048962\n0.50 0.172920\n0.75 0.679900\nName: 14489, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7080470575452833, std values: 5.201258717954466, min values: 6.3509e-06, max values: 40.563, median values: 0.30165, and quantile values: 0.25 0.079376\n0.50 0.301650\n0.75 1.117100\nName: 14490, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2594069538320756, std values: 4.641485060258749, min values: 1.0882e-06, max values: 38.286, median values: 0.171, and quantile values: 0.25 0.051474\n0.50 0.171000\n0.75 0.673575\nName: 14491, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4736273216989308, std values: 4.6577619496165, min values: 9.1813e-07, max values: 38.103, median values: 0.22028, and quantile values: 0.25 0.065934\n0.50 0.220280\n0.75 0.974035\nName: 14492, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.361770038827673, std values: 4.957785611912318, min values: 1.7959e-06, max values: 40.816, median values: 0.21195, and quantile values: 0.25 0.060686\n0.50 0.211950\n0.75 0.761475\nName: 14493, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4501147935027674, std values: 4.632095985039033, min values: 5.3874e-07, max values: 37.317, median values: 0.25099, and quantile values: 0.25 0.061401\n0.50 0.250990\n0.75 0.945725\nName: 14494, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5963170425597482, std values: 4.892651514064601, min values: 3.2652e-06, max values: 39.245, median values: 0.25307, and quantile values: 0.25 0.081359\n0.50 0.253070\n0.75 1.006140\nName: 14495, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5090889668754717, std values: 4.955762805075892, min values: 1.0687e-06, max values: 39.693, median values: 0.20765, and quantile values: 0.25 0.061122\n0.50 0.207650\n0.75 0.903510\nName: 14496, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.500670384471698, std values: 5.096356503161652, min values: 1.2523e-06, max values: 42.964, median values: 0.22749, and quantile values: 0.25 0.063101\n0.50 0.227490\n0.75 0.835705\nName: 14497, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5646326238125787, std values: 4.878001448948811, min values: 1.0803e-06, max values: 38.654, median values: 0.24227, and quantile values: 0.25 0.067019\n0.50 0.242270\n0.75 1.042800\nName: 14498, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4179576280334591, std values: 4.952617166508087, min values: 2.2542e-07, max values: 41.866, median values: 0.18059, and quantile values: 0.25 0.053651\n0.50 0.180590\n0.75 0.834665\nName: 14499, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6177395227452829, std values: 5.0514523942005365, min values: 1.685e-06, max values: 40.958, median values: 0.25653, and quantile values: 0.25 0.07383\n0.50 0.25653\n0.75 0.98780\nName: 14500, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.364668504152667, std values: 4.954866228432486, min values: 2.3974e-08, max values: 42.518, median values: 0.15849, and quantile values: 0.25 0.047068\n0.50 0.158490\n0.75 0.696570\nName: 14501, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.544430162390126, std values: 4.7726306194416015, min values: 9.1603e-07, max values: 37.434, median values: 0.23813, and quantile values: 0.25 0.074281\n0.50 0.238130\n0.75 0.973370\nName: 14502, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2970905729468551, std values: 4.515991050208858, min values: 6.7215e-07, max values: 37.34, median values: 0.19436, and quantile values: 0.25 0.053560\n0.50 0.194360\n0.75 0.730675\nName: 14503, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3099380128529559, std values: 4.776233652106909, min values: 5.4182e-07, max values: 38.582, median values: 0.16332, and quantile values: 0.25 0.047038\n0.50 0.163320\n0.75 0.702370\nName: 14504, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.616186053012579, std values: 5.102682804482929, min values: 1.4574e-06, max values: 41.728, median values: 0.2474, and quantile values: 0.25 0.066893\n0.50 0.247400\n0.75 0.968560\nName: 14505, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8048741443283018, std values: 5.220205041786298, min values: 1.8858e-06, max values: 42.355, median values: 0.3197, and quantile values: 0.25 0.082118\n0.50 0.319700\n0.75 1.275350\nName: 14506, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.626026693142138, std values: 4.966813429932294, min values: 3.2088e-06, max values: 39.792, median values: 0.26118, and quantile values: 0.25 0.075189\n0.50 0.261180\n0.75 1.043200\nName: 14507, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5726532821836479, std values: 4.9021032347951365, min values: 1.1936e-06, max values: 38.953, median values: 0.23214, and quantile values: 0.25 0.068483\n0.50 0.232140\n0.75 1.015000\nName: 14508, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.769001355316937, std values: 5.062093129238529, min values: 9.1693e-08, max values: 40.505, median values: 0.28841, and quantile values: 0.25 0.07266\n0.50 0.28841\n0.75 1.31915\nName: 14509, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2344601734443208, std values: 4.8294241966847515, min values: 2.0747e-08, max values: 40.97, median values: 0.16353, and quantile values: 0.25 0.038628\n0.50 0.163530\n0.75 0.637640\nName: 14510, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.572917747491824, std values: 4.939644484703226, min values: 2.6792e-06, max values: 40.342, median values: 0.23586, and quantile values: 0.25 0.070849\n0.50 0.235860\n0.75 0.979785\nName: 14511, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4808729033855343, std values: 4.8568352706676725, min values: 1.1084e-06, max values: 38.801, median values: 0.2188, and quantile values: 0.25 0.058933\n0.50 0.218800\n0.75 0.888625\nName: 14512, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7381057271446538, std values: 5.3794091453775525, min values: 1.03e-05, max values: 42.064, median values: 0.25318, and quantile values: 0.25 0.089484\n0.50 0.253180\n0.75 0.950415\nName: 14513, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7026989760742142, std values: 5.034716787886849, min values: 2.7487e-06, max values: 39.376, median values: 0.29708, and quantile values: 0.25 0.08113\n0.50 0.29708\n0.75 1.17150\nName: 14514, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5005708960283017, std values: 4.775441558789372, min values: 2.1641e-06, max values: 38.412, median values: 0.25164, and quantile values: 0.25 0.082067\n0.50 0.251640\n0.75 0.891135\nName: 14515, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6647100559295598, std values: 5.276803436822326, min values: 7.6276e-06, max values: 41.56, median values: 0.23757, and quantile values: 0.25 0.080442\n0.50 0.237570\n0.75 0.980065\nName: 14516, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4499877605522014, std values: 4.934772478568839, min values: 2.7356e-06, max values: 39.914, median values: 0.20306, and quantile values: 0.25 0.064352\n0.50 0.203060\n0.75 0.823795\nName: 14517, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5774863842601257, std values: 4.962056257341764, min values: 4.3256e-07, max values: 40.373, median values: 0.2445, and quantile values: 0.25 0.064989\n0.50 0.244500\n0.75 0.994260\nName: 14518, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5838946048144653, std values: 5.106955637291101, min values: 1.8058e-06, max values: 41.338, median values: 0.25039, and quantile values: 0.25 0.068709\n0.50 0.250390\n0.75 0.980245\nName: 14519, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.300453842669497, std values: 4.923376475537387, min values: 9.1405e-07, max values: 42.051, median values: 0.14715, and quantile values: 0.25 0.039713\n0.50 0.147150\n0.75 0.628790\nName: 14520, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5298120746018868, std values: 4.959358039174523, min values: 1.275e-07, max values: 40.901, median values: 0.20926, and quantile values: 0.25 0.062826\n0.50 0.209260\n0.75 0.931645\nName: 14521, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.688307351437107, std values: 5.12723284169469, min values: 4.7933e-06, max values: 40.171, median values: 0.26573, and quantile values: 0.25 0.077871\n0.50 0.265730\n0.75 1.123400\nName: 14522, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6266147022163524, std values: 5.005654768743812, min values: 1.9379e-06, max values: 39.753, median values: 0.25575, and quantile values: 0.25 0.082865\n0.50 0.255750\n0.75 1.106050\nName: 14523, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5205679347566037, std values: 4.819520293127768, min values: 5.6926e-06, max values: 41.139, median values: 0.25067, and quantile values: 0.25 0.073656\n0.50 0.250670\n0.75 0.865460\nName: 14524, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4374733327632891, std values: 4.590589349613899, min values: 2.2811e-08, max values: 36.211, median values: 0.21221, and quantile values: 0.25 0.044053\n0.50 0.212210\n0.75 0.877455\nName: 14525, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4290329052044024, std values: 4.8928910329372926, min values: 2.188e-06, max values: 40.383, median values: 0.19382, and quantile values: 0.25 0.062112\n0.50 0.193820\n0.75 0.826635\nName: 14526, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.511431471631258, std values: 4.8714922570494394, min values: 8.8357e-07, max values: 39.12, median values: 0.21396, and quantile values: 0.25 0.061407\n0.50 0.213960\n0.75 0.938375\nName: 14527, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.649313023510113, std values: 5.070700505813253, min values: 3.2891e-08, max values: 42.865, median values: 0.2296, and quantile values: 0.25 0.051082\n0.50 0.229600\n0.75 1.058645\nName: 14528, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6785074571238994, std values: 5.549583060223182, min values: 3.4869e-06, max values: 48.883, median values: 0.23882, and quantile values: 0.25 0.07727\n0.50 0.23882\n0.75 1.07085\nName: 14529, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3989367135421382, std values: 4.5880602670538595, min values: 1.0778e-06, max values: 37.981, median values: 0.23548, and quantile values: 0.25 0.062932\n0.50 0.235480\n0.75 0.873645\nName: 14530, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5058073750264152, std values: 4.795929600349772, min values: 2.3148e-06, max values: 39.685, median values: 0.24076, and quantile values: 0.25 0.068721\n0.50 0.240760\n0.75 0.918185\nName: 14531, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.514930684626415, std values: 4.974455521876056, min values: 2.1662e-06, max values: 39.581, median values: 0.20828, and quantile values: 0.25 0.068788\n0.50 0.208280\n0.75 0.877070\nName: 14532, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3336463132971699, std values: 4.620221814569865, min values: 4.5715e-07, max values: 37.583, median values: 0.17554, and quantile values: 0.25 0.048900\n0.50 0.175540\n0.75 0.761445\nName: 14533, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5734328261597486, std values: 5.137015370650839, min values: 2.9074e-06, max values: 42.679, median values: 0.29117, and quantile values: 0.25 0.086936\n0.50 0.291170\n0.75 0.960720\nName: 14534, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3932556233501445, std values: 4.683974276425061, min values: 2.1273e-08, max values: 37.494, median values: 0.19383, and quantile values: 0.25 0.054469\n0.50 0.193830\n0.75 0.823700\nName: 14535, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2960101447496855, std values: 4.824111649412198, min values: 2.3957e-06, max values: 39.71, median values: 0.16562, and quantile values: 0.25 0.049803\n0.50 0.165620\n0.75 0.664690\nName: 14536, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.427868127472327, std values: 4.910960550966846, min values: 1.0125e-06, max values: 39.829, median values: 0.23224, and quantile values: 0.25 0.071388\n0.50 0.232240\n0.75 0.781685\nName: 14537, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5985147042974845, std values: 5.074168539209637, min values: 4.6393e-06, max values: 39.947, median values: 0.24535, and quantile values: 0.25 0.076768\n0.50 0.245350\n0.75 0.936975\nName: 14538, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6729088267559749, std values: 5.240185530472846, min values: 1.22e-06, max values: 44.587, median values: 0.25658, and quantile values: 0.25 0.07111\n0.50 0.25658\n0.75 1.12690\nName: 14539, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4901379657686162, std values: 5.013322327516609, min values: 9.9471e-07, max values: 41.193, median values: 0.21567, and quantile values: 0.25 0.058142\n0.50 0.215670\n0.75 0.867870\nName: 14540, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7770084493288048, std values: 5.100639920375205, min values: 3.5448e-07, max values: 41.328, median values: 0.28882, and quantile values: 0.25 0.069304\n0.50 0.288820\n0.75 1.353900\nName: 14541, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5909095933465407, std values: 5.064947406764765, min values: 6.0945e-06, max values: 41.183, median values: 0.23533, and quantile values: 0.25 0.073879\n0.50 0.235330\n0.75 0.953175\nName: 14542, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4987568601484276, std values: 4.986342138471101, min values: 3.9363e-06, max values: 41.202, median values: 0.24552, and quantile values: 0.25 0.064162\n0.50 0.245520\n0.75 0.860470\nName: 14543, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4062925037976854, std values: 5.07328829689694, min values: 2.3512e-08, max values: 44.869, median values: 0.1838, and quantile values: 0.25 0.048143\n0.50 0.183800\n0.75 0.778055\nName: 14544, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4524476164836477, std values: 5.0303701280050666, min values: 1.4442e-06, max values: 42.194, median values: 0.19893, and quantile values: 0.25 0.059241\n0.50 0.198930\n0.75 0.771265\nName: 14545, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.13428926116022, std values: 4.583055732474375, min values: 4.6495e-08, max values: 37.099, median values: 0.1267, and quantile values: 0.25 0.032192\n0.50 0.126700\n0.75 0.518985\nName: 14546, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6961907655025157, std values: 5.1887185992671325, min values: 6.0042e-06, max values: 41.035, median values: 0.27893, and quantile values: 0.25 0.082789\n0.50 0.278930\n0.75 1.046450\nName: 14547, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7141228948836478, std values: 5.321750674010707, min values: 1.7018e-06, max values: 45.081, median values: 0.27059, and quantile values: 0.25 0.084123\n0.50 0.270590\n0.75 1.141000\nName: 14548, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.610035787143585, std values: 4.869245726411138, min values: 2.1593e-07, max values: 38.437, median values: 0.25946, and quantile values: 0.25 0.05912\n0.50 0.25946\n0.75 1.11200\nName: 14549, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4757521436518868, std values: 4.763159518140556, min values: 6.7205e-07, max values: 37.478, median values: 0.24103, and quantile values: 0.25 0.061293\n0.50 0.241030\n0.75 0.907075\nName: 14550, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.654364942098113, std values: 5.628931408032227, min values: 2.6706e-06, max values: 50.714, median values: 0.25275, and quantile values: 0.25 0.072172\n0.50 0.252750\n0.75 1.017360\nName: 14551, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3504583029079247, std values: 4.730085750839869, min values: 8.5166e-07, max values: 38.598, median values: 0.22154, and quantile values: 0.25 0.057072\n0.50 0.221540\n0.75 0.772480\nName: 14552, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4083091695754717, std values: 4.617630067048574, min values: 1.2965e-06, max values: 38.536, median values: 0.21055, and quantile values: 0.25 0.065271\n0.50 0.210550\n0.75 0.854445\nName: 14553, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.522539417468805, std values: 5.103166441738404, min values: 5.6666e-07, max values: 44.685, median values: 0.23608, and quantile values: 0.25 0.059276\n0.50 0.236080\n0.75 0.864885\nName: 14554, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3746272233622012, std values: 4.969234973741583, min values: 3.395e-07, max values: 43.039, median values: 0.18405, and quantile values: 0.25 0.047862\n0.50 0.184050\n0.75 0.749395\nName: 14555, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6527307048811322, std values: 4.955150064167851, min values: 4.7123e-06, max values: 40.36, median values: 0.27985, and quantile values: 0.25 0.08303\n0.50 0.27985\n0.75 1.09455\nName: 14556, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4314804352302704, std values: 4.86266551622421, min values: 1.8143e-08, max values: 40.005, median values: 0.20102, and quantile values: 0.25 0.050639\n0.50 0.201020\n0.75 0.837200\nName: 14557, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5180111143137105, std values: 5.054670391786596, min values: 5.2938e-07, max values: 41.836, median values: 0.19831, and quantile values: 0.25 0.062080\n0.50 0.198310\n0.75 0.933155\nName: 14558, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6934788799981135, std values: 5.573439061524776, min values: 1.1435e-06, max values: 50.67, median values: 0.24865, and quantile values: 0.25 0.065772\n0.50 0.248650\n0.75 1.106550\nName: 14559, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6520592872597486, std values: 5.048113389387429, min values: 5.205e-06, max values: 41.144, median values: 0.25687, and quantile values: 0.25 0.077552\n0.50 0.256870\n0.75 1.037550\nName: 14560, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6564361176144657, std values: 5.067388071489271, min values: 1.1353e-06, max values: 40.756, median values: 0.25704, and quantile values: 0.25 0.068927\n0.50 0.257040\n0.75 1.133700\nName: 14561, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.511957483963522, std values: 5.138427751968237, min values: 3.5892e-06, max values: 41.765, median values: 0.22542, and quantile values: 0.25 0.060519\n0.50 0.225420\n0.75 0.845300\nName: 14562, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5204024314798112, std values: 4.936877976800096, min values: 3.2209e-07, max values: 40.739, median values: 0.23697, and quantile values: 0.25 0.056903\n0.50 0.236970\n0.75 0.920495\nName: 14563, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3037889101698112, std values: 4.907912943519518, min values: 1.8526e-06, max values: 39.563, median values: 0.1596, and quantile values: 0.25 0.048718\n0.50 0.159600\n0.75 0.674865\nName: 14564, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.309929840078931, std values: 4.6430623253061745, min values: 3.1116e-07, max values: 36.915, median values: 0.18864, and quantile values: 0.25 0.049128\n0.50 0.188640\n0.75 0.720935\nName: 14565, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.340736576290566, std values: 5.041994807591759, min values: 2.276e-06, max values: 41.564, median values: 0.18889, and quantile values: 0.25 0.053532\n0.50 0.188890\n0.75 0.756000\nName: 14566, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5466142156301885, std values: 4.752175317805372, min values: 4.3655e-06, max values: 40.195, median values: 0.28411, and quantile values: 0.25 0.068829\n0.50 0.284110\n0.75 0.959840\nName: 14567, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6309523338947167, std values: 4.897191845292545, min values: 5.7626e-07, max values: 38.084, median values: 0.29739, and quantile values: 0.25 0.072977\n0.50 0.297390\n0.75 1.120450\nName: 14568, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4492333151949683, std values: 4.803694813703483, min values: 1.9353e-06, max values: 39.442, median values: 0.18683, and quantile values: 0.25 0.060041\n0.50 0.186830\n0.75 0.851920\nName: 14569, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5411360639101885, std values: 5.006400927166572, min values: 5.0812e-07, max values: 41.048, median values: 0.19235, and quantile values: 0.25 0.056606\n0.50 0.192350\n0.75 0.935810\nName: 14570, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7245537766955974, std values: 5.033273947350114, min values: 4.0074e-06, max values: 39.82, median values: 0.2903, and quantile values: 0.25 0.084459\n0.50 0.290300\n0.75 1.165250\nName: 14571, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4210893120792454, std values: 4.909206730086822, min values: 2.8193e-06, max values: 39.692, median values: 0.20957, and quantile values: 0.25 0.063423\n0.50 0.209570\n0.75 0.819165\nName: 14572, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4852581802930818, std values: 4.838692348470507, min values: 4.2252e-06, max values: 40.043, median values: 0.23532, and quantile values: 0.25 0.076456\n0.50 0.235320\n0.75 0.940345\nName: 14573, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5220443787672957, std values: 4.986899127111896, min values: 1.0138e-06, max values: 40.465, median values: 0.22536, and quantile values: 0.25 0.065722\n0.50 0.225360\n0.75 0.936365\nName: 14574, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6276553115408805, std values: 5.447168891541015, min values: 9.915e-07, max values: 48.485, median values: 0.20557, and quantile values: 0.25 0.061366\n0.50 0.205570\n0.75 0.950855\nName: 14575, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5085762258931636, std values: 4.854492504223709, min values: 8.0613e-08, max values: 39.567, median values: 0.25933, and quantile values: 0.25 0.063409\n0.50 0.259330\n0.75 0.946630\nName: 14576, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.496704332452893, std values: 4.923364036685909, min values: 7.4991e-07, max values: 40.453, median values: 0.25277, and quantile values: 0.25 0.06620\n0.50 0.25277\n0.75 0.88961\nName: 14577, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3268627423711572, std values: 4.685952952470698, min values: 1.7614e-08, max values: 37.756, median values: 0.17255, and quantile values: 0.25 0.045845\n0.50 0.172550\n0.75 0.761195\nName: 14578, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5132867071406917, std values: 5.096905537287005, min values: 2.2897e-07, max values: 43.957, median values: 0.21768, and quantile values: 0.25 0.056874\n0.50 0.217680\n0.75 0.847270\nName: 14579, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3811701785383645, std values: 4.857311635055361, min values: 0.0, max values: 40.834, median values: 0.21454, and quantile values: 0.25 0.067227\n0.50 0.214540\n0.75 0.719990\nName: 14580, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5972503672742138, std values: 5.071250703107906, min values: 1.2694e-06, max values: 41.088, median values: 0.26039, and quantile values: 0.25 0.070955\n0.50 0.260390\n0.75 1.036950\nName: 14581, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5437449399050944, std values: 5.022841976698463, min values: 8.9641e-07, max values: 40.88, median values: 0.22702, and quantile values: 0.25 0.064462\n0.50 0.227020\n0.75 0.946735\nName: 14582, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.660338616719497, std values: 5.230959361267603, min values: 3.2242e-06, max values: 42.416, median values: 0.25018, and quantile values: 0.25 0.075738\n0.50 0.250180\n0.75 1.039300\nName: 14583, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.387228745206088, std values: 4.641336788781507, min values: 2.1168e-08, max values: 37.118, median values: 0.19658, and quantile values: 0.25 0.057626\n0.50 0.196580\n0.75 0.877680\nName: 14584, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4047953456679245, std values: 4.844017906429005, min values: 1.2342e-06, max values: 39.078, median values: 0.20895, and quantile values: 0.25 0.062864\n0.50 0.208950\n0.75 0.842065\nName: 14585, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.593024220798742, std values: 5.1335689684272, min values: 2.45e-06, max values: 42.202, median values: 0.26912, and quantile values: 0.25 0.073157\n0.50 0.269120\n0.75 0.989430\nName: 14586, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4652222453496857, std values: 4.887172325331227, min values: 1.3325e-06, max values: 39.245, median values: 0.2101, and quantile values: 0.25 0.065471\n0.50 0.210100\n0.75 0.877170\nName: 14587, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5008878047339624, std values: 4.988047821349118, min values: 2.2393e-06, max values: 40.28, median values: 0.23366, and quantile values: 0.25 0.064958\n0.50 0.233660\n0.75 0.950025\nName: 14588, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5471015716876102, std values: 5.007273070130851, min values: 8.0293e-07, max values: 41.311, median values: 0.23455, and quantile values: 0.25 0.066557\n0.50 0.234550\n0.75 0.986400\nName: 14589, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5628807423622644, std values: 4.82751553554459, min values: 3.5355e-06, max values: 39.705, median values: 0.26661, and quantile values: 0.25 0.077404\n0.50 0.266610\n0.75 0.971405\nName: 14590, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4128773954803773, std values: 4.826252938149876, min values: 8.6618e-07, max values: 39.015, median values: 0.18734, and quantile values: 0.25 0.058064\n0.50 0.187340\n0.75 0.759080\nName: 14591, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5133054889150943, std values: 5.0468104645885985, min values: 2.3751e-06, max values: 40.314, median values: 0.25232, and quantile values: 0.25 0.071763\n0.50 0.252320\n0.75 0.895540\nName: 14592, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5996567411596858, std values: 4.694654116852457, min values: 1.3741e-07, max values: 36.69, median values: 0.2012, and quantile values: 0.25 0.061277\n0.50 0.201200\n0.75 1.002380\nName: 14593, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.326260964652453, std values: 4.652339194863936, min values: 1.9202e-07, max values: 37.073, median values: 0.15983, and quantile values: 0.25 0.043981\n0.50 0.159830\n0.75 0.675360\nName: 14594, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.490533863591107, std values: 4.972581527038208, min values: 2.2826e-08, max values: 42.467, median values: 0.23152, and quantile values: 0.25 0.04858\n0.50 0.23152\n0.75 0.96627\nName: 14595, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3976373662855972, std values: 4.8626023794606335, min values: 6.7161e-07, max values: 39.291, median values: 0.20745, and quantile values: 0.25 0.056921\n0.50 0.207450\n0.75 0.845940\nName: 14596, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3462880048903145, std values: 4.886124957095013, min values: 8.3956e-07, max values: 39.929, median values: 0.18966, and quantile values: 0.25 0.050926\n0.50 0.189660\n0.75 0.805945\nName: 14597, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.305708035636478, std values: 4.655081050689632, min values: 1.0394e-06, max values: 38.319, median values: 0.18344, and quantile values: 0.25 0.057975\n0.50 0.183440\n0.75 0.736830\nName: 14598, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.420887235692453, std values: 4.71992961255261, min values: 1.3234e-06, max values: 38.328, median values: 0.22143, and quantile values: 0.25 0.05800\n0.50 0.22143\n0.75 0.83394\nName: 14599, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5619900505926225, std values: 5.127460265878583, min values: 7.9717e-08, max values: 44.757, median values: 0.23003, and quantile values: 0.25 0.054175\n0.50 0.230030\n0.75 1.001130\nName: 14600, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.748326209128176, std values: 4.944357808347453, min values: 8.7908e-07, max values: 38.423, median values: 0.2642, and quantile values: 0.25 0.071681\n0.50 0.264200\n0.75 1.185850\nName: 14601, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5489572960306917, std values: 5.052959959829792, min values: 3.1368e-07, max values: 42.632, median values: 0.22574, and quantile values: 0.25 0.056834\n0.50 0.225740\n0.75 0.942120\nName: 14602, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3645045296740252, std values: 4.7949755395883695, min values: 6.0247e-07, max values: 38.578, median values: 0.17606, and quantile values: 0.25 0.050626\n0.50 0.176060\n0.75 0.748140\nName: 14603, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4478172455411948, std values: 4.74656053249397, min values: 3.4585e-07, max values: 38.015, median values: 0.22503, and quantile values: 0.25 0.059436\n0.50 0.225030\n0.75 0.958775\nName: 14604, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.266963579046478, std values: 4.511635344240619, min values: 7.7089e-07, max values: 37.916, median values: 0.15923, and quantile values: 0.25 0.048149\n0.50 0.159230\n0.75 0.706720\nName: 14605, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.373843354578931, std values: 4.914668663140276, min values: 5.6205e-07, max values: 40.966, median values: 0.19136, and quantile values: 0.25 0.050337\n0.50 0.191360\n0.75 0.816795\nName: 14606, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3744914301006288, std values: 4.946540713112537, min values: 1.5757e-06, max values: 40.159, median values: 0.20862, and quantile values: 0.25 0.052676\n0.50 0.208620\n0.75 0.790500\nName: 14607, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6715622243213835, std values: 5.165512708606666, min values: 2.407e-06, max values: 41.959, median values: 0.31801, and quantile values: 0.25 0.07241\n0.50 0.31801\n0.75 1.10980\nName: 14608, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4987568045362891, std values: 4.871977224990524, min values: 3.8641e-07, max values: 40.365, median values: 0.2216, and quantile values: 0.25 0.052434\n0.50 0.221600\n0.75 0.850605\nName: 14609, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5312502431160377, std values: 5.037415955021426, min values: 4.4505e-07, max values: 42.594, median values: 0.20796, and quantile values: 0.25 0.055789\n0.50 0.207960\n0.75 0.865140\nName: 14610, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5611100603774846, std values: 5.09176815003952, min values: 7.1822e-07, max values: 43.014, median values: 0.22956, and quantile values: 0.25 0.061263\n0.50 0.229560\n0.75 0.967355\nName: 14611, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4253208370937107, std values: 4.674623167603154, min values: 2.3938e-06, max values: 40.082, median values: 0.20974, and quantile values: 0.25 0.063274\n0.50 0.209740\n0.75 0.855270\nName: 14612, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4783834729937109, std values: 5.190366323077551, min values: 2.1268e-06, max values: 44.314, median values: 0.23538, and quantile values: 0.25 0.065406\n0.50 0.235380\n0.75 0.894155\nName: 14613, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3875334002088051, std values: 4.893263867848993, min values: 1.5613e-06, max values: 39.203, median values: 0.19226, and quantile values: 0.25 0.059202\n0.50 0.192260\n0.75 0.789545\nName: 14614, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4164916398845284, std values: 5.229873545905951, min values: 1.5874e-07, max values: 46.643, median values: 0.18483, and quantile values: 0.25 0.050007\n0.50 0.184830\n0.75 0.814305\nName: 14615, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4568193510788054, std values: 4.858872426832295, min values: 2.0403e-07, max values: 39.441, median values: 0.19396, and quantile values: 0.25 0.055576\n0.50 0.193960\n0.75 0.896765\nName: 14616, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4532117365841508, std values: 5.062572444482482, min values: 5.7908e-07, max values: 42.67, median values: 0.2015, and quantile values: 0.25 0.056135\n0.50 0.201500\n0.75 0.800625\nName: 14617, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5546571817424528, std values: 5.007857073599031, min values: 9.7675e-07, max values: 40.701, median values: 0.23984, and quantile values: 0.25 0.060526\n0.50 0.239840\n0.75 0.936255\nName: 14618, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.445714186962, std values: 4.890209707703137, min values: 2.7558e-08, max values: 40.457, median values: 0.18825, and quantile values: 0.25 0.055549\n0.50 0.188250\n0.75 0.862710\nName: 14619, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6456457371355342, std values: 5.227507274305563, min values: 3.5205e-07, max values: 45.028, median values: 0.25255, and quantile values: 0.25 0.066584\n0.50 0.252550\n0.75 1.148050\nName: 14620, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4102203768886794, std values: 4.773265402639308, min values: 2.9294e-06, max values: 39.53, median values: 0.20657, and quantile values: 0.25 0.066255\n0.50 0.206570\n0.75 0.809900\nName: 14621, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4004019137930817, std values: 4.613474263064434, min values: 1.4177e-06, max values: 38.257, median values: 0.21958, and quantile values: 0.25 0.067396\n0.50 0.219580\n0.75 0.867285\nName: 14622, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.621362819016352, std values: 5.269576185809366, min values: 1.5117e-06, max values: 44.98, median values: 0.26041, and quantile values: 0.25 0.075648\n0.50 0.260410\n0.75 1.056200\nName: 14623, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.468551197380887, std values: 4.834192564983869, min values: 1.3961e-08, max values: 37.518, median values: 0.19674, and quantile values: 0.25 0.053028\n0.50 0.196740\n0.75 0.802325\nName: 14624, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5117478946223273, std values: 4.791103678386342, min values: 9.5845e-07, max values: 37.429, median values: 0.21677, and quantile values: 0.25 0.060240\n0.50 0.216770\n0.75 0.990115\nName: 14625, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.462077431518063, std values: 5.0331109199574975, min values: 5.1552e-08, max values: 43.852, median values: 0.21364, and quantile values: 0.25 0.048304\n0.50 0.213640\n0.75 0.810445\nName: 14626, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.408539591444591, std values: 4.651275429563205, min values: 2.696e-08, max values: 36.54, median values: 0.19615, and quantile values: 0.25 0.04867\n0.50 0.19615\n0.75 0.84418\nName: 14627, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3658554545685537, std values: 4.617803687874855, min values: 1.1343e-06, max values: 37.564, median values: 0.20814, and quantile values: 0.25 0.067425\n0.50 0.208140\n0.75 0.777405\nName: 14628, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3069867011913208, std values: 4.5225587983926525, min values: 1.7184e-07, max values: 36.132, median values: 0.18065, and quantile values: 0.25 0.043324\n0.50 0.180650\n0.75 0.783250\nName: 14629, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.522865374037107, std values: 5.247620858019737, min values: 1.937e-06, max values: 44.514, median values: 0.22177, and quantile values: 0.25 0.065514\n0.50 0.221770\n0.75 0.914640\nName: 14630, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.595057700712327, std values: 4.81588511160356, min values: 4.4866e-07, max values: 37.987, median values: 0.24805, and quantile values: 0.25 0.065864\n0.50 0.248050\n0.75 1.095350\nName: 14631, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4462936729767295, std values: 4.935698866332078, min values: 1.9735e-06, max values: 40.001, median values: 0.21321, and quantile values: 0.25 0.061271\n0.50 0.213210\n0.75 0.881610\nName: 14632, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6225628747088048, std values: 4.931917208165993, min values: 1.1316e-06, max values: 38.762, median values: 0.23181, and quantile values: 0.25 0.062843\n0.50 0.231810\n0.75 1.086500\nName: 14633, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4892179100257295, std values: 4.701162088410694, min values: 3.5431e-08, max values: 36.766, median values: 0.22706, and quantile values: 0.25 0.05716\n0.50 0.22706\n0.75 0.95839\nName: 14634, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4432201103144653, std values: 4.9015493625898126, min values: 1.6143e-06, max values: 39.981, median values: 0.21352, and quantile values: 0.25 0.058263\n0.50 0.213520\n0.75 0.887825\nName: 14635, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4544579285792454, std values: 5.094663516422518, min values: 1.4124e-06, max values: 43.432, median values: 0.20258, and quantile values: 0.25 0.063390\n0.50 0.202580\n0.75 0.843065\nName: 14636, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6637570786993714, std values: 5.175671779924576, min values: 2.9722e-06, max values: 41.882, median values: 0.2729, and quantile values: 0.25 0.086579\n0.50 0.272900\n0.75 1.061500\nName: 14637, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3793499704232706, std values: 4.731323166596106, min values: 2.2348e-06, max values: 40.28, median values: 0.20554, and quantile values: 0.25 0.058946\n0.50 0.205540\n0.75 0.826095\nName: 14638, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8572375242874213, std values: 5.415010840559439, min values: 3.9692e-06, max values: 43.748, median values: 0.32097, and quantile values: 0.25 0.092484\n0.50 0.320970\n0.75 1.232100\nName: 14639, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1699273553494969, std values: 4.47592303707286, min values: 3.4159e-07, max values: 37.33, median values: 0.12712, and quantile values: 0.25 0.043368\n0.50 0.127120\n0.75 0.541370\nName: 14640, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3970821631580503, std values: 4.835587065329897, min values: 4.6103e-07, max values: 39.165, median values: 0.20712, and quantile values: 0.25 0.066765\n0.50 0.207120\n0.75 0.783095\nName: 14641, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4285625035509433, std values: 4.832851483789975, min values: 5.517e-07, max values: 39.402, median values: 0.19966, and quantile values: 0.25 0.059441\n0.50 0.199660\n0.75 0.833315\nName: 14642, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5848453213672955, std values: 4.94196750977544, min values: 5.0428e-06, max values: 40.86, median values: 0.28294, and quantile values: 0.25 0.065884\n0.50 0.282940\n0.75 0.962545\nName: 14643, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4933441249144657, std values: 5.340332595407972, min values: 3.2702e-06, max values: 46.26, median values: 0.18242, and quantile values: 0.25 0.058869\n0.50 0.182420\n0.75 0.790495\nName: 14644, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5116327061325785, std values: 4.861024099484391, min values: 9.7308e-07, max values: 38.395, median values: 0.22906, and quantile values: 0.25 0.064370\n0.50 0.229060\n0.75 0.988245\nName: 14645, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5939937221116351, std values: 5.058327319916013, min values: 4.2755e-07, max values: 42.125, median values: 0.27312, and quantile values: 0.25 0.071724\n0.50 0.273120\n0.75 1.054650\nName: 14646, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5113612870937108, std values: 5.073551391108903, min values: 1.4083e-06, max values: 43.026, median values: 0.25928, and quantile values: 0.25 0.070574\n0.50 0.259280\n0.75 0.873770\nName: 14647, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7422171910679245, std values: 4.8632225718695645, min values: 2.0755e-06, max values: 38.509, median values: 0.31202, and quantile values: 0.25 0.082998\n0.50 0.312020\n0.75 1.248750\nName: 14648, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7120996849723271, std values: 4.945594697064807, min values: 2.3497e-06, max values: 38.935, median values: 0.27177, and quantile values: 0.25 0.07700\n0.50 0.27177\n0.75 1.22525\nName: 14649, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.521741490119497, std values: 4.789655220328421, min values: 1.6663e-06, max values: 38.151, median values: 0.23811, and quantile values: 0.25 0.071797\n0.50 0.238110\n0.75 0.961550\nName: 14650, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6768479811559747, std values: 5.504697428723445, min values: 2.4761e-06, max values: 49.334, median values: 0.27442, and quantile values: 0.25 0.069644\n0.50 0.274420\n0.75 1.058900\nName: 14651, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4140932000533961, std values: 5.011312594073416, min values: 5.7439e-07, max values: 42.145, median values: 0.22325, and quantile values: 0.25 0.058972\n0.50 0.223250\n0.75 0.731235\nName: 14652, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4507670998509434, std values: 4.823976063478761, min values: 2.1776e-06, max values: 39.69, median values: 0.21575, and quantile values: 0.25 0.059423\n0.50 0.215750\n0.75 0.914145\nName: 14653, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6852299242779873, std values: 5.022327465942255, min values: 2.0305e-06, max values: 39.409, median values: 0.28496, and quantile values: 0.25 0.084301\n0.50 0.284960\n0.75 1.159250\nName: 14654, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6699023859641509, std values: 5.073925621348703, min values: 2.3578e-06, max values: 39.873, median values: 0.29464, and quantile values: 0.25 0.084957\n0.50 0.294640\n0.75 1.087900\nName: 14655, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5048644397320754, std values: 4.735551170763725, min values: 3.6203e-06, max values: 40.34, median values: 0.22651, and quantile values: 0.25 0.068730\n0.50 0.226510\n0.75 0.904795\nName: 14656, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6056790777444654, std values: 5.119501574882102, min values: 8.5917e-07, max values: 42.383, median values: 0.262, and quantile values: 0.25 0.068146\n0.50 0.262000\n0.75 1.103800\nName: 14657, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3864413167163523, std values: 4.848923145214385, min values: 1.658e-06, max values: 38.923, median values: 0.1899, and quantile values: 0.25 0.058769\n0.50 0.189900\n0.75 0.786900\nName: 14658, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3181861588765411, std values: 4.497879024735146, min values: 3.4102e-07, max values: 36.248, median values: 0.18021, and quantile values: 0.25 0.043781\n0.50 0.180210\n0.75 0.712225\nName: 14659, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4188200169842766, std values: 4.991351109920252, min values: 3.4788e-06, max values: 40.365, median values: 0.20075, and quantile values: 0.25 0.060124\n0.50 0.200750\n0.75 0.768490\nName: 14660, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3473012078379876, std values: 4.599219670889167, min values: 1.7884e-07, max values: 37.168, median values: 0.16736, and quantile values: 0.25 0.048008\n0.50 0.167360\n0.75 0.738270\nName: 14661, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5009039915534592, std values: 4.856982536382399, min values: 1.7144e-06, max values: 38.827, median values: 0.26459, and quantile values: 0.25 0.066796\n0.50 0.264590\n0.75 0.979210\nName: 14662, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4198516226943394, std values: 5.10304914230664, min values: 3.4036e-06, max values: 42.147, median values: 0.1978, and quantile values: 0.25 0.061524\n0.50 0.197800\n0.75 0.782205\nName: 14663, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.443929162439937, std values: 4.897293700288113, min values: 5.2715e-07, max values: 40.33, median values: 0.21577, and quantile values: 0.25 0.059778\n0.50 0.215770\n0.75 0.873875\nName: 14664, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3363206282175473, std values: 5.108665327058785, min values: 2.8839e-07, max values: 44.913, median values: 0.16123, and quantile values: 0.25 0.046578\n0.50 0.161230\n0.75 0.648640\nName: 14665, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.569078803473006, std values: 4.676629051988613, min values: 3.6088e-08, max values: 37.05, median values: 0.23387, and quantile values: 0.25 0.057552\n0.50 0.233870\n0.75 1.156100\nName: 14666, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.754861946262893, std values: 5.014580041662846, min values: 2.6495e-06, max values: 39.53, median values: 0.30956, and quantile values: 0.25 0.08268\n0.50 0.30956\n0.75 1.29250\nName: 14667, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7187535372798741, std values: 5.3102169844091325, min values: 1.711e-06, max values: 44.783, median values: 0.27099, and quantile values: 0.25 0.081209\n0.50 0.270990\n0.75 1.135200\nName: 14668, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6915394589377357, std values: 5.202569050392684, min values: 3.6699e-06, max values: 41.238, median values: 0.2764, and quantile values: 0.25 0.075808\n0.50 0.276400\n0.75 1.094100\nName: 14669, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5290941132380504, std values: 5.013981880326189, min values: 3.1745e-07, max values: 42.016, median values: 0.25679, and quantile values: 0.25 0.060296\n0.50 0.256790\n0.75 0.978030\nName: 14670, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4324724187272957, std values: 4.836289420331623, min values: 1.0304e-07, max values: 39.442, median values: 0.22459, and quantile values: 0.25 0.059591\n0.50 0.224590\n0.75 0.849400\nName: 14671, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.601334488619497, std values: 4.985254654985379, min values: 2.8304e-06, max values: 39.517, median values: 0.26117, and quantile values: 0.25 0.07474\n0.50 0.26117\n0.75 0.94682\nName: 14672, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6569924405991823, std values: 4.980586120762781, min values: 6.5337e-07, max values: 39.621, median values: 0.28898, and quantile values: 0.25 0.079502\n0.50 0.288980\n0.75 1.171300\nName: 14673, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9793779608408806, std values: 5.4121767316719565, min values: 5.3247e-06, max values: 42.125, median values: 0.35226, and quantile values: 0.25 0.10647\n0.50 0.35226\n0.75 1.38610\nName: 14674, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3900334768761635, std values: 4.73004154805847, min values: 8.0191e-07, max values: 38.357, median values: 0.18406, and quantile values: 0.25 0.050929\n0.50 0.184060\n0.75 0.843115\nName: 14675, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.691728498824528, std values: 5.113559045460254, min values: 3.5132e-06, max values: 40.45, median values: 0.30555, and quantile values: 0.25 0.08273\n0.50 0.30555\n0.75 1.16495\nName: 14676, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4187248756740252, std values: 4.844059210832817, min values: 3.9307e-07, max values: 39.264, median values: 0.19811, and quantile values: 0.25 0.058035\n0.50 0.198110\n0.75 0.830915\nName: 14677, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2294464179319495, std values: 4.680337049433334, min values: 3.9988e-07, max values: 37.607, median values: 0.16289, and quantile values: 0.25 0.047778\n0.50 0.162890\n0.75 0.636580\nName: 14678, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4380597269166666, std values: 4.982403440800749, min values: 9.2815e-07, max values: 41.996, median values: 0.20382, and quantile values: 0.25 0.063085\n0.50 0.203820\n0.75 0.838740\nName: 14679, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6151169902544655, std values: 5.061059025265456, min values: 8.5256e-07, max values: 41.661, median values: 0.25345, and quantile values: 0.25 0.068326\n0.50 0.253450\n0.75 1.081050\nName: 14680, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3172733999296224, std values: 4.693433331653136, min values: 3.5121e-07, max values: 37.747, median values: 0.18211, and quantile values: 0.25 0.048196\n0.50 0.182110\n0.75 0.734345\nName: 14681, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3102062855129684, std values: 4.6220642157557705, min values: 1.6062e-08, max values: 37.955, median values: 0.1606, and quantile values: 0.25 0.045780\n0.50 0.160600\n0.75 0.766085\nName: 14682, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5641991795327046, std values: 5.232112071282664, min values: 3.232e-06, max values: 42.902, median values: 0.2216, and quantile values: 0.25 0.067724\n0.50 0.221600\n0.75 0.892630\nName: 14683, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4847206003679245, std values: 5.004097720248686, min values: 1.9208e-06, max values: 40.251, median values: 0.21093, and quantile values: 0.25 0.060690\n0.50 0.210930\n0.75 0.877535\nName: 14684, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3439935768498743, std values: 5.000553393931186, min values: 7.7123e-07, max values: 42.173, median values: 0.13514, and quantile values: 0.25 0.046931\n0.50 0.135140\n0.75 0.753460\nName: 14685, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3958891628757233, std values: 4.966269775290133, min values: 5.4984e-07, max values: 41.853, median values: 0.19494, and quantile values: 0.25 0.055980\n0.50 0.194940\n0.75 0.786785\nName: 14686, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3617964042149686, std values: 4.787930697721916, min values: 9.6128e-07, max values: 38.289, median values: 0.19539, and quantile values: 0.25 0.055986\n0.50 0.195390\n0.75 0.805895\nName: 14687, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6085333654484277, std values: 5.193281274916324, min values: 1.4833e-06, max values: 44.063, median values: 0.24528, and quantile values: 0.25 0.075881\n0.50 0.245280\n0.75 1.020400\nName: 14688, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6019603470062893, std values: 4.9969384554837015, min values: 1.5669e-06, max values: 39.771, median values: 0.27319, and quantile values: 0.25 0.077278\n0.50 0.273190\n0.75 1.036700\nName: 14689, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5822579656694968, std values: 4.7997258671879, min values: 6.6685e-07, max values: 37.097, median values: 0.25123, and quantile values: 0.25 0.066055\n0.50 0.251230\n0.75 1.040970\nName: 14690, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4172512116729559, std values: 4.975901289384004, min values: 1.5118e-06, max values: 41.143, median values: 0.20088, and quantile values: 0.25 0.061177\n0.50 0.200880\n0.75 0.788735\nName: 14691, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.285581475618088, std values: 4.494127989242177, min values: 6.5356e-08, max values: 36.139, median values: 0.16252, and quantile values: 0.25 0.036838\n0.50 0.162520\n0.75 0.773485\nName: 14692, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7474670498528304, std values: 5.045428591929661, min values: 5.9996e-06, max values: 40.822, median values: 0.29764, and quantile values: 0.25 0.082812\n0.50 0.297640\n0.75 1.204350\nName: 14693, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4594893464050314, std values: 4.971684233705175, min values: 1.9699e-06, max values: 39.986, median values: 0.2342, and quantile values: 0.25 0.061416\n0.50 0.234200\n0.75 0.883535\nName: 14694, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7393043167918238, std values: 5.390345709358971, min values: 5.0899e-06, max values: 43.52, median values: 0.28506, and quantile values: 0.25 0.080687\n0.50 0.285060\n0.75 1.059400\nName: 14695, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5384371004575408, std values: 5.084059858061138, min values: 1.3099e-08, max values: 43.44, median values: 0.18834, and quantile values: 0.25 0.043052\n0.50 0.188340\n0.75 0.877720\nName: 14696, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4783205213301887, std values: 4.731033240447236, min values: 2.3226e-06, max values: 38.282, median values: 0.2318, and quantile values: 0.25 0.071636\n0.50 0.231800\n0.75 0.948165\nName: 14697, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4998309530773584, std values: 5.294748035816244, min values: 1.6159e-06, max values: 46.442, median values: 0.22253, and quantile values: 0.25 0.066912\n0.50 0.222530\n0.75 0.940225\nName: 14698, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4697208579459748, std values: 4.730744065578048, min values: 7.4501e-07, max values: 37.066, median values: 0.23438, and quantile values: 0.25 0.063847\n0.50 0.234380\n0.75 1.009680\nName: 14699, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4659547907867923, std values: 4.9163470314158015, min values: 2.2752e-06, max values: 40.007, median values: 0.2267, and quantile values: 0.25 0.061918\n0.50 0.226700\n0.75 0.891430\nName: 14700, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3207552075746543, std values: 4.768862509832966, min values: 7.2627e-07, max values: 38.791, median values: 0.16566, and quantile values: 0.25 0.054168\n0.50 0.165660\n0.75 0.733190\nName: 14701, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5598798858044025, std values: 4.99286182789083, min values: 5.6205e-06, max values: 41.772, median values: 0.2437, and quantile values: 0.25 0.068199\n0.50 0.243700\n0.75 0.900270\nName: 14702, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2745981616922641, std values: 4.686634707380744, min values: 4.6217e-07, max values: 38.668, median values: 0.14593, and quantile values: 0.25 0.048688\n0.50 0.145930\n0.75 0.674670\nName: 14703, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.498269528689308, std values: 4.59359536008638, min values: 1.2765e-06, max values: 38.151, median values: 0.24269, and quantile values: 0.25 0.067391\n0.50 0.242690\n0.75 0.932390\nName: 14704, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5562652522679246, std values: 5.1165260216588955, min values: 3.315e-06, max values: 40.764, median values: 0.25006, and quantile values: 0.25 0.071085\n0.50 0.250060\n0.75 0.947215\nName: 14705, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4770899875490568, std values: 4.834696197226066, min values: 3.4803e-06, max values: 39.839, median values: 0.22539, and quantile values: 0.25 0.070784\n0.50 0.225390\n0.75 0.891160\nName: 14706, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.233521173072497, std values: 4.4350833189982755, min values: 1.0457e-08, max values: 35.055, median values: 0.12618, and quantile values: 0.25 0.029449\n0.50 0.126180\n0.75 0.633730\nName: 14707, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5699646317597484, std values: 4.99539380288294, min values: 1.7544e-06, max values: 40.137, median values: 0.23183, and quantile values: 0.25 0.071739\n0.50 0.231830\n0.75 0.992820\nName: 14708, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4889103908880503, std values: 4.89406663095144, min values: 1.7364e-06, max values: 38.845, median values: 0.26027, and quantile values: 0.25 0.062822\n0.50 0.260270\n0.75 0.846835\nName: 14709, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3662487753705346, std values: 4.896083661143968, min values: 2.9545e-08, max values: 41.376, median values: 0.15869, and quantile values: 0.25 0.043922\n0.50 0.158690\n0.75 0.745570\nName: 14710, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4460663173449684, std values: 5.156542804175503, min values: 6.9085e-07, max values: 45.082, median values: 0.19015, and quantile values: 0.25 0.05762\n0.50 0.19015\n0.75 0.83704\nName: 14711, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4628499315384904, std values: 4.906157524114699, min values: 8.7452e-07, max values: 40.525, median values: 0.22304, and quantile values: 0.25 0.061491\n0.50 0.223040\n0.75 0.888555\nName: 14712, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4243024208955977, std values: 4.810630039628384, min values: 1.0119e-06, max values: 38.478, median values: 0.20866, and quantile values: 0.25 0.063569\n0.50 0.208660\n0.75 0.851615\nName: 14713, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4648557135446538, std values: 4.895904019933803, min values: 1.8103e-06, max values: 38.986, median values: 0.24553, and quantile values: 0.25 0.069353\n0.50 0.245530\n0.75 0.913670\nName: 14714, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7321532118301886, std values: 5.293785319618764, min values: 2.8742e-06, max values: 43.601, median values: 0.30369, and quantile values: 0.25 0.085546\n0.50 0.303690\n0.75 1.142850\nName: 14715, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4100576966383647, std values: 4.643049540055949, min values: 1.0292e-06, max values: 38.699, median values: 0.20441, and quantile values: 0.25 0.059186\n0.50 0.204410\n0.75 0.896225\nName: 14716, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6890155702735852, std values: 5.046692499719581, min values: 4.7548e-06, max values: 40.667, median values: 0.29257, and quantile values: 0.25 0.07148\n0.50 0.29257\n0.75 1.04220\nName: 14717, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2458129347069182, std values: 4.800613837850042, min values: 1.0326e-06, max values: 39.853, median values: 0.13407, and quantile values: 0.25 0.038125\n0.50 0.134070\n0.75 0.631055\nName: 14718, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6234729491065534, std values: 5.145450403310146, min values: 2.1742e-08, max values: 44.846, median values: 0.2637, and quantile values: 0.25 0.059585\n0.50 0.263700\n0.75 1.128600\nName: 14719, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2706254440314466, std values: 4.968963783586551, min values: 1.4243e-06, max values: 41.917, median values: 0.17322, and quantile values: 0.25 0.053012\n0.50 0.173220\n0.75 0.639725\nName: 14720, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4750989331396225, std values: 4.739565048946529, min values: 1.5242e-06, max values: 38.067, median values: 0.22301, and quantile values: 0.25 0.065813\n0.50 0.223010\n0.75 0.950580\nName: 14721, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5555822727766666, std values: 4.679600037316387, min values: 2.8979e-07, max values: 38.176, median values: 0.25978, and quantile values: 0.25 0.068132\n0.50 0.259780\n0.75 1.028315\nName: 14722, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4607555705257862, std values: 4.87597037034056, min values: 1.173e-06, max values: 38.639, median values: 0.23748, and quantile values: 0.25 0.067302\n0.50 0.237480\n0.75 0.916265\nName: 14723, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5522579903515723, std values: 5.1153163681736435, min values: 1.1887e-06, max values: 42.734, median values: 0.21734, and quantile values: 0.25 0.065107\n0.50 0.217340\n0.75 0.971160\nName: 14724, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3832177032823898, std values: 4.710372341054164, min values: 1.4555e-06, max values: 38.713, median values: 0.20012, and quantile values: 0.25 0.063621\n0.50 0.200120\n0.75 0.858010\nName: 14725, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3174499626578613, std values: 4.825359137238509, min values: 2.1384e-06, max values: 38.693, median values: 0.18634, and quantile values: 0.25 0.058199\n0.50 0.186340\n0.75 0.721745\nName: 14726, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2556819992333332, std values: 4.637622410891509, min values: 2.9005e-06, max values: 40.772, median values: 0.17174, and quantile values: 0.25 0.057786\n0.50 0.171740\n0.75 0.566625\nName: 14727, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2339189486799371, std values: 4.669814184175762, min values: 5.2661e-07, max values: 38.3, median values: 0.14149, and quantile values: 0.25 0.048106\n0.50 0.141490\n0.75 0.647220\nName: 14728, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4434424587121384, std values: 4.792853355550706, min values: 2.8793e-07, max values: 38.456, median values: 0.21161, and quantile values: 0.25 0.056618\n0.50 0.211610\n0.75 0.933155\nName: 14729, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3011103015233334, std values: 4.953713307422072, min values: 7.0391e-07, max values: 42.302, median values: 0.17302, and quantile values: 0.25 0.050284\n0.50 0.173020\n0.75 0.665960\nName: 14730, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5576834652069182, std values: 5.069321454138723, min values: 2.6658e-06, max values: 41.106, median values: 0.27231, and quantile values: 0.25 0.076646\n0.50 0.272310\n0.75 0.990305\nName: 14731, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4688712278849685, std values: 5.016872559729667, min values: 4.8781e-07, max values: 42.41, median values: 0.19607, and quantile values: 0.25 0.054707\n0.50 0.196070\n0.75 0.832215\nName: 14732, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5954420350323268, std values: 5.066933419158976, min values: 4.5304e-07, max values: 41.307, median values: 0.22017, and quantile values: 0.25 0.064846\n0.50 0.220170\n0.75 1.046700\nName: 14733, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5506999003910062, std values: 4.968349709346442, min values: 3.0987e-07, max values: 40.957, median values: 0.25831, and quantile values: 0.25 0.063664\n0.50 0.258310\n0.75 1.013950\nName: 14734, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.376638157599874, std values: 4.74681925165469, min values: 9.8338e-07, max values: 37.892, median values: 0.21431, and quantile values: 0.25 0.064592\n0.50 0.214310\n0.75 0.811550\nName: 14735, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6222849815761005, std values: 4.9979135045118985, min values: 2.8943e-06, max values: 39.567, median values: 0.26644, and quantile values: 0.25 0.077221\n0.50 0.266440\n0.75 1.085250\nName: 14736, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4189631079877987, std values: 4.794510883494982, min values: 0.0, max values: 38.79, median values: 0.19403, and quantile values: 0.25 0.042500\n0.50 0.194030\n0.75 0.763715\nName: 14737, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.501309779434591, std values: 5.208447502952171, min values: 1.1626e-06, max values: 44.879, median values: 0.21696, and quantile values: 0.25 0.060952\n0.50 0.216960\n0.75 0.839000\nName: 14738, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5043159302836477, std values: 5.3657907432847445, min values: 2.3086e-06, max values: 46.656, median values: 0.21808, and quantile values: 0.25 0.064638\n0.50 0.218080\n0.75 0.875090\nName: 14739, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7744805046993712, std values: 5.054493441901894, min values: 2.1393e-06, max values: 39.05, median values: 0.31649, and quantile values: 0.25 0.093101\n0.50 0.316490\n0.75 1.264800\nName: 14740, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3888874744301887, std values: 4.893920450954361, min values: 2.9707e-06, max values: 40.28, median values: 0.19542, and quantile values: 0.25 0.059823\n0.50 0.195420\n0.75 0.756500\nName: 14741, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.555485221774843, std values: 4.929684136861134, min values: 2.6985e-06, max values: 38.646, median values: 0.26695, and quantile values: 0.25 0.081949\n0.50 0.266950\n0.75 0.948860\nName: 14742, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.336844500229874, std values: 4.696664839408876, min values: 8.7525e-07, max values: 38.675, median values: 0.19048, and quantile values: 0.25 0.055470\n0.50 0.190480\n0.75 0.742925\nName: 14743, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5982981542327044, std values: 5.239970254717022, min values: 3.1298e-06, max values: 43.22, median values: 0.2182, and quantile values: 0.25 0.065545\n0.50 0.218200\n0.75 1.000865\nName: 14744, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4170875269773586, std values: 5.066067326674593, min values: 1.7168e-06, max values: 41.963, median values: 0.18567, and quantile values: 0.25 0.055135\n0.50 0.185670\n0.75 0.765605\nName: 14745, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4080307278926416, std values: 4.765242554926087, min values: 9.5973e-07, max values: 38.531, median values: 0.20734, and quantile values: 0.25 0.056119\n0.50 0.207340\n0.75 0.791005\nName: 14746, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4350825196522012, std values: 4.8755284823157705, min values: 2.4431e-06, max values: 40.08, median values: 0.20818, and quantile values: 0.25 0.062721\n0.50 0.208180\n0.75 0.813240\nName: 14747, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3634921710436476, std values: 4.908971395656653, min values: 2.4064e-07, max values: 40.455, median values: 0.16634, and quantile values: 0.25 0.042717\n0.50 0.166340\n0.75 0.737265\nName: 14748, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4366263493452829, std values: 4.822822340914139, min values: 2.1003e-06, max values: 38.798, median values: 0.23105, and quantile values: 0.25 0.063464\n0.50 0.231050\n0.75 0.848025\nName: 14749, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5230951988031447, std values: 5.386118495666417, min values: 2.2445e-06, max values: 47.672, median values: 0.21979, and quantile values: 0.25 0.063761\n0.50 0.219790\n0.75 0.879470\nName: 14750, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5489679325113206, std values: 4.915156996373514, min values: 1.195e-06, max values: 38.672, median values: 0.22055, and quantile values: 0.25 0.065346\n0.50 0.220550\n0.75 0.972760\nName: 14751, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6174132352603772, std values: 5.0387227306494164, min values: 2.1656e-06, max values: 40.151, median values: 0.2236, and quantile values: 0.25 0.062230\n0.50 0.223600\n0.75 1.005685\nName: 14752, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5746349024207547, std values: 4.9740586052381035, min values: 3.1129e-06, max values: 39.346, median values: 0.26779, and quantile values: 0.25 0.077103\n0.50 0.267790\n0.75 0.984525\nName: 14753, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6184166236691826, std values: 5.01514103375777, min values: 4.2905e-06, max values: 40.374, median values: 0.26324, and quantile values: 0.25 0.07529\n0.50 0.26324\n0.75 0.97210\nName: 14754, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4708244041811318, std values: 4.900244423434859, min values: 2.0446e-06, max values: 39.067, median values: 0.22727, and quantile values: 0.25 0.061463\n0.50 0.227270\n0.75 0.852605\nName: 14755, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3824658460521382, std values: 4.901925365288644, min values: 8.2569e-07, max values: 40.235, median values: 0.22126, and quantile values: 0.25 0.060057\n0.50 0.221260\n0.75 0.766380\nName: 14756, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7214337459735598, std values: 4.891422927082235, min values: 7.2196e-08, max values: 37.636, median values: 0.28348, and quantile values: 0.25 0.064217\n0.50 0.283480\n0.75 1.168000\nName: 14757, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2422786211840253, std values: 4.665497380622342, min values: 6.1826e-07, max values: 37.827, median values: 0.13525, and quantile values: 0.25 0.046713\n0.50 0.135250\n0.75 0.633285\nName: 14758, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6731281179528301, std values: 5.268890081754909, min values: 5.3071e-06, max values: 41.657, median values: 0.25657, and quantile values: 0.25 0.076284\n0.50 0.256570\n0.75 0.942315\nName: 14759, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.434851255299874, std values: 4.848739580894216, min values: 1.66e-08, max values: 40.317, median values: 0.19746, and quantile values: 0.25 0.046656\n0.50 0.197460\n0.75 0.896215\nName: 14760, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3704644821610692, std values: 4.757184148394323, min values: 1.4581e-07, max values: 37.182, median values: 0.17476, and quantile values: 0.25 0.052547\n0.50 0.174760\n0.75 0.676650\nName: 14761, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.664977050640252, std values: 5.151666837608278, min values: 6.6937e-06, max values: 40.553, median values: 0.29352, and quantile values: 0.25 0.085011\n0.50 0.293520\n0.75 0.980420\nName: 14762, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5057647602295599, std values: 4.950658060556523, min values: 1.3116e-06, max values: 39.468, median values: 0.21282, and quantile values: 0.25 0.063604\n0.50 0.212820\n0.75 0.943695\nName: 14763, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.520934025552201, std values: 5.0409376456862125, min values: 3.6356e-06, max values: 41.071, median values: 0.21781, and quantile values: 0.25 0.061077\n0.50 0.217810\n0.75 0.848385\nName: 14764, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5737107880968553, std values: 4.990559067810594, min values: 1.5751e-06, max values: 39.806, median values: 0.22552, and quantile values: 0.25 0.079106\n0.50 0.225520\n0.75 0.976095\nName: 14765, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5854808758528303, std values: 4.9966589843519, min values: 2.4731e-06, max values: 39.636, median values: 0.25386, and quantile values: 0.25 0.074941\n0.50 0.253860\n0.75 0.989360\nName: 14766, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4906247042710694, std values: 5.037682931150938, min values: 3.2485e-06, max values: 40.691, median values: 0.22574, and quantile values: 0.25 0.066085\n0.50 0.225740\n0.75 0.851600\nName: 14767, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3515679716861633, std values: 4.6979304574056515, min values: 1.2037e-06, max values: 37.94, median values: 0.18768, and quantile values: 0.25 0.054256\n0.50 0.187680\n0.75 0.815340\nName: 14768, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5462774888779875, std values: 4.983267040950798, min values: 8.906e-07, max values: 40.645, median values: 0.23572, and quantile values: 0.25 0.065531\n0.50 0.235720\n0.75 1.006990\nName: 14769, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.458231688825283, std values: 4.783513985523185, min values: 7.3122e-07, max values: 37.776, median values: 0.2304, and quantile values: 0.25 0.069248\n0.50 0.230400\n0.75 0.920755\nName: 14770, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.362853824052201, std values: 4.941977873105492, min values: 2.0725e-06, max values: 40.106, median values: 0.17701, and quantile values: 0.25 0.053694\n0.50 0.177010\n0.75 0.773645\nName: 14771, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5346174793320755, std values: 4.968253253222736, min values: 3.3336e-06, max values: 39.593, median values: 0.25293, and quantile values: 0.25 0.072374\n0.50 0.252930\n0.75 0.886270\nName: 14772, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.442784047298113, std values: 4.981275760386669, min values: 1.1572e-06, max values: 41.184, median values: 0.22319, and quantile values: 0.25 0.054954\n0.50 0.223190\n0.75 0.864925\nName: 14773, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3875121134457864, std values: 5.1766552269013335, min values: 5.2838e-07, max values: 46.195, median values: 0.16954, and quantile values: 0.25 0.051639\n0.50 0.169540\n0.75 0.706230\nName: 14774, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3830481634169811, std values: 4.711295107723476, min values: 1.9446e-06, max values: 39.162, median values: 0.22425, and quantile values: 0.25 0.057064\n0.50 0.224250\n0.75 0.845310\nName: 14775, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4853202628623272, std values: 4.856311019226498, min values: 4.0581e-07, max values: 38.82, median values: 0.18725, and quantile values: 0.25 0.055334\n0.50 0.187250\n0.75 0.865150\nName: 14776, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5324480747616351, std values: 4.852359132769713, min values: 1.5593e-06, max values: 38.908, median values: 0.24928, and quantile values: 0.25 0.064316\n0.50 0.249280\n0.75 1.018250\nName: 14777, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4542530020389939, std values: 4.975328196957103, min values: 2.3109e-06, max values: 40.243, median values: 0.21951, and quantile values: 0.25 0.063377\n0.50 0.219510\n0.75 0.901715\nName: 14778, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4960945037018867, std values: 4.89125118212205, min values: 2.6006e-06, max values: 39.525, median values: 0.22454, and quantile values: 0.25 0.064963\n0.50 0.224540\n0.75 0.965590\nName: 14779, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7474464416754716, std values: 5.29016429109052, min values: 7.3004e-06, max values: 40.656, median values: 0.27899, and quantile values: 0.25 0.086139\n0.50 0.278990\n0.75 0.981410\nName: 14780, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6796027590818237, std values: 5.3486001758769275, min values: 9.8281e-07, max values: 46.742, median values: 0.25253, and quantile values: 0.25 0.077054\n0.50 0.252530\n0.75 1.077500\nName: 14781, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3046666606071697, std values: 4.942761437224864, min values: 9.4564e-07, max values: 41.588, median values: 0.16495, and quantile values: 0.25 0.046892\n0.50 0.164950\n0.75 0.695625\nName: 14782, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3997880560662892, std values: 4.945972274155721, min values: 6.1644e-07, max values: 41.923, median values: 0.18988, and quantile values: 0.25 0.058360\n0.50 0.189880\n0.75 0.816385\nName: 14783, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4322946852295597, std values: 4.967829585051821, min values: 2.0928e-06, max values: 39.899, median values: 0.19432, and quantile values: 0.25 0.05246\n0.50 0.19432\n0.75 0.82935\nName: 14784, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4626260275251572, std values: 4.840301278805559, min values: 1.5882e-06, max values: 38.66, median values: 0.21522, and quantile values: 0.25 0.064298\n0.50 0.215220\n0.75 0.884660\nName: 14785, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.441457018937107, std values: 4.925603742086861, min values: 1.2052e-06, max values: 40.452, median values: 0.20966, and quantile values: 0.25 0.053636\n0.50 0.209660\n0.75 0.814630\nName: 14786, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4784809269287422, std values: 4.868576994097516, min values: 2.8867e-07, max values: 39.712, median values: 0.23849, and quantile values: 0.25 0.059201\n0.50 0.238490\n0.75 0.943485\nName: 14787, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4047471002207548, std values: 4.759864799048294, min values: 1.051e-06, max values: 38.524, median values: 0.19779, and quantile values: 0.25 0.061431\n0.50 0.197790\n0.75 0.816590\nName: 14788, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3747026415167296, std values: 4.939940136448738, min values: 2.6176e-07, max values: 41.753, median values: 0.16408, and quantile values: 0.25 0.045112\n0.50 0.164080\n0.75 0.751010\nName: 14789, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8244491043622642, std values: 5.3035686920337906, min values: 3.6276e-06, max values: 41.69, median values: 0.30064, and quantile values: 0.25 0.081729\n0.50 0.300640\n0.75 1.243900\nName: 14790, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4834860319073837, std values: 4.703290049085411, min values: 2.6064e-08, max values: 36.886, median values: 0.21838, and quantile values: 0.25 0.049718\n0.50 0.218380\n0.75 0.965715\nName: 14791, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5398568988149435, std values: 4.9204169259510975, min values: 1.0746e-08, max values: 40.503, median values: 0.18705, and quantile values: 0.25 0.043619\n0.50 0.187050\n0.75 0.937175\nName: 14792, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.460846107905843, std values: 4.668453276285129, min values: 2.3189e-08, max values: 36.876, median values: 0.21799, and quantile values: 0.25 0.05821\n0.50 0.21799\n0.75 1.01970\nName: 14793, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7144377133169812, std values: 5.293506130862343, min values: 1.386e-06, max values: 44.937, median values: 0.28377, and quantile values: 0.25 0.075273\n0.50 0.283770\n0.75 1.123100\nName: 14794, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5945737975974843, std values: 5.123248466890131, min values: 4.0319e-06, max values: 40.478, median values: 0.25318, and quantile values: 0.25 0.074521\n0.50 0.253180\n0.75 0.943705\nName: 14795, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4177667109037735, std values: 4.66221338139716, min values: 1.859e-07, max values: 36.964, median values: 0.23267, and quantile values: 0.25 0.052371\n0.50 0.232670\n0.75 0.822725\nName: 14796, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.459732405581352, std values: 5.09373988456021, min values: 2.1895e-08, max values: 44.768, median values: 0.18761, and quantile values: 0.25 0.045185\n0.50 0.187610\n0.75 0.919910\nName: 14797, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.67202105025283, std values: 5.21718681443969, min values: 5.0345e-06, max values: 41.504, median values: 0.26827, and quantile values: 0.25 0.067733\n0.50 0.268270\n0.75 1.025665\nName: 14798, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4967650071894967, std values: 4.81038147971875, min values: 4.4193e-07, max values: 38.265, median values: 0.23253, and quantile values: 0.25 0.062455\n0.50 0.232530\n0.75 0.918805\nName: 14799, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4059507419503146, std values: 5.024958649557366, min values: 1.3433e-06, max values: 42.158, median values: 0.22219, and quantile values: 0.25 0.059926\n0.50 0.222190\n0.75 0.783000\nName: 14800, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5632127536981133, std values: 5.077653106877884, min values: 1.1344e-06, max values: 42.518, median values: 0.26089, and quantile values: 0.25 0.065126\n0.50 0.260890\n0.75 1.000550\nName: 14801, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4076917745025788, std values: 4.8287024681767035, min values: 1.7881e-07, max values: 39.145, median values: 0.19966, and quantile values: 0.25 0.055110\n0.50 0.199660\n0.75 0.821315\nName: 14802, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4836638886316604, std values: 4.818194806059815, min values: 9.5454e-08, max values: 38.739, median values: 0.18844, and quantile values: 0.25 0.054932\n0.50 0.188440\n0.75 0.906640\nName: 14803, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6212385822628932, std values: 4.9791627360935795, min values: 2.0155e-06, max values: 39.758, median values: 0.28064, and quantile values: 0.25 0.074494\n0.50 0.280640\n0.75 1.095200\nName: 14804, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3780849987213837, std values: 4.7073966146581245, min values: 1.2377e-06, max values: 37.911, median values: 0.20627, and quantile values: 0.25 0.061033\n0.50 0.206270\n0.75 0.792085\nName: 14805, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5267476009238994, std values: 4.884157256674168, min values: 2.3399e-06, max values: 39.02, median values: 0.23997, and quantile values: 0.25 0.071711\n0.50 0.239970\n0.75 0.963085\nName: 14806, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5076067806930817, std values: 4.96083386782145, min values: 1.6602e-06, max values: 39.934, median values: 0.24763, and quantile values: 0.25 0.074058\n0.50 0.247630\n0.75 0.916940\nName: 14807, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5841355965301886, std values: 4.972270366311929, min values: 9.191e-07, max values: 39.906, median values: 0.24187, and quantile values: 0.25 0.06456\n0.50 0.24187\n0.75 1.00087\nName: 14808, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7020415842930818, std values: 4.959338494439639, min values: 4.6111e-06, max values: 39.57, median values: 0.29668, and quantile values: 0.25 0.09739\n0.50 0.29668\n0.75 1.08630\nName: 14809, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5152850795591197, std values: 4.968493141612791, min values: 1.519e-06, max values: 39.507, median values: 0.22046, and quantile values: 0.25 0.058556\n0.50 0.220460\n0.75 0.930085\nName: 14810, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3610268751421384, std values: 4.756601765220908, min values: 1.0724e-06, max values: 38.973, median values: 0.17272, and quantile values: 0.25 0.055039\n0.50 0.172720\n0.75 0.810825\nName: 14811, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3389975390672955, std values: 4.801573397418927, min values: 1.0146e-06, max values: 38.491, median values: 0.17608, and quantile values: 0.25 0.051536\n0.50 0.176080\n0.75 0.771435\nName: 14812, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.580669808091258, std values: 5.01956362702077, min values: 8.4991e-07, max values: 40.829, median values: 0.25572, and quantile values: 0.25 0.068492\n0.50 0.255720\n0.75 1.009040\nName: 14813, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.571567925830189, std values: 5.121200419671465, min values: 7.105e-06, max values: 42.658, median values: 0.24452, and quantile values: 0.25 0.066454\n0.50 0.244520\n0.75 0.798290\nName: 14814, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8200267160050316, std values: 5.366555660428719, min values: 3.2592e-06, max values: 43.297, median values: 0.28497, and quantile values: 0.25 0.086619\n0.50 0.284970\n0.75 1.228450\nName: 14815, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4271491142377482, std values: 4.904501312838403, min values: 2.0142e-08, max values: 40.663, median values: 0.18073, and quantile values: 0.25 0.046259\n0.50 0.180730\n0.75 0.813175\nName: 14816, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4096813020968555, std values: 4.675893839175114, min values: 2.0195e-06, max values: 38.414, median values: 0.218, and quantile values: 0.25 0.067933\n0.50 0.218000\n0.75 0.816435\nName: 14817, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4648672343477986, std values: 4.8364293533069835, min values: 3.828e-07, max values: 39.154, median values: 0.22892, and quantile values: 0.25 0.06115\n0.50 0.22892\n0.75 0.89245\nName: 14818, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4309225074985532, std values: 4.903187731992842, min values: 2.6657e-07, max values: 40.647, median values: 0.16729, and quantile values: 0.25 0.043367\n0.50 0.167290\n0.75 0.767635\nName: 14819, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5161299630930816, std values: 4.877152138275746, min values: 4.0061e-06, max values: 40.241, median values: 0.25673, and quantile values: 0.25 0.067746\n0.50 0.256730\n0.75 0.912965\nName: 14820, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4734296227830188, std values: 5.03222182907104, min values: 1.2372e-06, max values: 41.837, median values: 0.23817, and quantile values: 0.25 0.054592\n0.50 0.238170\n0.75 0.853090\nName: 14821, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4883404097634088, std values: 4.8808242915400095, min values: 1.6582e-08, max values: 40.039, median values: 0.20503, and quantile values: 0.25 0.052892\n0.50 0.205030\n0.75 0.869285\nName: 14822, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5369528448515724, std values: 4.9813749421632005, min values: 2.1398e-06, max values: 40.101, median values: 0.276, and quantile values: 0.25 0.062778\n0.50 0.276000\n0.75 0.936920\nName: 14823, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7062987738284905, std values: 5.111486893624448, min values: 5.8783e-07, max values: 42.004, median values: 0.30628, and quantile values: 0.25 0.071967\n0.50 0.306280\n0.75 1.194550\nName: 14824, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3959857451733961, std values: 4.870557014621325, min values: 6.4967e-07, max values: 40.044, median values: 0.20581, and quantile values: 0.25 0.059664\n0.50 0.205810\n0.75 0.813565\nName: 14825, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4093433571213836, std values: 4.899265911280552, min values: 2.5841e-06, max values: 39.519, median values: 0.22035, and quantile values: 0.25 0.063288\n0.50 0.220350\n0.75 0.803135\nName: 14826, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3821238407354088, std values: 4.874916312320783, min values: 8.2843e-07, max values: 40.309, median values: 0.18245, and quantile values: 0.25 0.054099\n0.50 0.182450\n0.75 0.788165\nName: 14827, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6103569671641507, std values: 5.110371882426461, min values: 1.2121e-06, max values: 42.019, median values: 0.23872, and quantile values: 0.25 0.072379\n0.50 0.238720\n0.75 0.997295\nName: 14828, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.563727636681132, std values: 5.02036168410265, min values: 1.0166e-06, max values: 41.312, median values: 0.24769, and quantile values: 0.25 0.072866\n0.50 0.247690\n0.75 1.032975\nName: 14829, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4045104612277988, std values: 4.9340723496974075, min values: 1.6182e-07, max values: 41.726, median values: 0.20803, and quantile values: 0.25 0.055934\n0.50 0.208030\n0.75 0.847415\nName: 14830, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5943474572169811, std values: 5.201141587702108, min values: 3.7544e-06, max values: 42.616, median values: 0.26207, and quantile values: 0.25 0.075706\n0.50 0.262070\n0.75 0.940150\nName: 14831, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.467080246991195, std values: 5.025500067360514, min values: 2.3159e-06, max values: 40.764, median values: 0.21434, and quantile values: 0.25 0.058813\n0.50 0.214340\n0.75 0.849165\nName: 14832, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7825949595666668, std values: 5.444216948545782, min values: 1.8781e-06, max values: 47.42, median values: 0.26906, and quantile values: 0.25 0.076171\n0.50 0.269060\n0.75 1.199150\nName: 14833, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4132374485200627, std values: 4.82503975257125, min values: 4.2999e-07, max values: 38.934, median values: 0.19884, and quantile values: 0.25 0.059241\n0.50 0.198840\n0.75 0.791795\nName: 14834, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.465113858429063, std values: 4.657993131758447, min values: 3.5261e-08, max values: 37.061, median values: 0.27167, and quantile values: 0.25 0.056806\n0.50 0.271670\n0.75 1.009350\nName: 14835, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3242960237050942, std values: 4.792476280622532, min values: 8.7101e-07, max values: 38.346, median values: 0.18571, and quantile values: 0.25 0.049516\n0.50 0.185710\n0.75 0.727650\nName: 14836, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.528875205272956, std values: 4.760686776432254, min values: 2.9636e-06, max values: 40.054, median values: 0.25376, and quantile values: 0.25 0.079407\n0.50 0.253760\n0.75 0.958535\nName: 14837, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5228894072056605, std values: 5.113639850709172, min values: 3.1467e-06, max values: 41.395, median values: 0.24787, and quantile values: 0.25 0.071507\n0.50 0.247870\n0.75 0.871340\nName: 14838, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3051191405610063, std values: 4.783499965755958, min values: 2.4291e-06, max values: 39.57, median values: 0.18571, and quantile values: 0.25 0.051284\n0.50 0.185710\n0.75 0.698215\nName: 14839, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5366004095623838, std values: 4.964623283937294, min values: 2.5169e-08, max values: 41.853, median values: 0.2511, and quantile values: 0.25 0.056125\n0.50 0.251100\n0.75 0.979160\nName: 14840, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4179219794666666, std values: 5.034067484361313, min values: 1.0358e-06, max values: 42.1, median values: 0.22228, and quantile values: 0.25 0.061774\n0.50 0.222280\n0.75 0.771215\nName: 14841, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4218877184848426, std values: 4.828907352796469, min values: 2.3159e-07, max values: 38.843, median values: 0.19526, and quantile values: 0.25 0.049111\n0.50 0.195260\n0.75 0.788930\nName: 14842, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5539748096872201, std values: 4.856574147660932, min values: 2.8568e-08, max values: 39.848, median values: 0.23344, and quantile values: 0.25 0.054067\n0.50 0.233440\n0.75 0.969640\nName: 14843, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5027870808245283, std values: 5.020824293356328, min values: 1.9241e-06, max values: 41.512, median values: 0.25872, and quantile values: 0.25 0.065257\n0.50 0.258720\n0.75 0.965250\nName: 14844, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5189448937849057, std values: 5.3307708359324195, min values: 3.8904e-06, max values: 44.899, median values: 0.22855, and quantile values: 0.25 0.067599\n0.50 0.228550\n0.75 0.760785\nName: 14845, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4972113847025157, std values: 4.888886363654614, min values: 3.2011e-06, max values: 39.614, median values: 0.22645, and quantile values: 0.25 0.066852\n0.50 0.226450\n0.75 0.914565\nName: 14846, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.454408940745786, std values: 4.88711828636506, min values: 7.6578e-07, max values: 39.097, median values: 0.19292, and quantile values: 0.25 0.053870\n0.50 0.192920\n0.75 0.870745\nName: 14847, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4108228308915658, std values: 4.561221215340489, min values: 5.2239e-08, max values: 36.302, median values: 0.16165, and quantile values: 0.25 0.039794\n0.50 0.161650\n0.75 0.837440\nName: 14848, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7229503461484275, std values: 5.099189647857134, min values: 1.317e-06, max values: 39.653, median values: 0.2855, and quantile values: 0.25 0.080284\n0.50 0.285500\n0.75 1.219150\nName: 14849, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3847924695415095, std values: 4.745447554949827, min values: 1.641e-07, max values: 37.926, median values: 0.1693, and quantile values: 0.25 0.049282\n0.50 0.169300\n0.75 0.851865\nName: 14850, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.184887016163459, std values: 4.493264980852602, min values: 2.2349e-07, max values: 35.69, median values: 0.14007, and quantile values: 0.25 0.036414\n0.50 0.140070\n0.75 0.558005\nName: 14851, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6055367370443399, std values: 4.889674027839465, min values: 5.3065e-07, max values: 38.74, median values: 0.28578, and quantile values: 0.25 0.070327\n0.50 0.285780\n0.75 1.088000\nName: 14852, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4743224948496223, std values: 4.925689117064479, min values: 5.2109e-07, max values: 40.645, median values: 0.22695, and quantile values: 0.25 0.064111\n0.50 0.226950\n0.75 0.924655\nName: 14853, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.359829565538868, std values: 4.765273902419558, min values: 9.7418e-07, max values: 37.965, median values: 0.18355, and quantile values: 0.25 0.056861\n0.50 0.183550\n0.75 0.800110\nName: 14854, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.411891892343396, std values: 4.806752852501943, min values: 1.3296e-06, max values: 38.869, median values: 0.18578, and quantile values: 0.25 0.056225\n0.50 0.185780\n0.75 0.848015\nName: 14855, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4324210909767294, std values: 4.811596388778276, min values: 1.5404e-06, max values: 39.395, median values: 0.21518, and quantile values: 0.25 0.059513\n0.50 0.215180\n0.75 0.935240\nName: 14856, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5488064228660376, std values: 4.957677759315818, min values: 1.2019e-06, max values: 39.445, median values: 0.23135, and quantile values: 0.25 0.06537\n0.50 0.23135\n0.75 0.94098\nName: 14857, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4617363258937108, std values: 4.872483254876141, min values: 3.406e-06, max values: 40.079, median values: 0.21969, and quantile values: 0.25 0.066041\n0.50 0.219690\n0.75 0.823700\nName: 14858, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6292064534352202, std values: 5.15737783324726, min values: 1.6477e-06, max values: 42.891, median values: 0.2794, and quantile values: 0.25 0.069618\n0.50 0.279400\n0.75 1.086850\nName: 14859, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5600433612946352, std values: 4.958946493375169, min values: 3.2337e-08, max values: 41.346, median values: 0.21563, and quantile values: 0.25 0.055706\n0.50 0.215630\n0.75 1.007315\nName: 14860, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3727226012284088, std values: 4.829633872945845, min values: 3.0657e-08, max values: 40.023, median values: 0.20063, and quantile values: 0.25 0.051695\n0.50 0.200630\n0.75 0.804565\nName: 14861, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6441639874830187, std values: 5.222795465982953, min values: 2.8154e-06, max values: 44.17, median values: 0.25376, and quantile values: 0.25 0.077523\n0.50 0.253760\n0.75 1.037450\nName: 14862, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5855250705289308, std values: 5.394476250704758, min values: 6.9677e-06, max values: 43.821, median values: 0.22608, and quantile values: 0.25 0.058098\n0.50 0.226080\n0.75 0.812470\nName: 14863, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3415058393440251, std values: 4.984619603639553, min values: 2.6178e-06, max values: 40.813, median values: 0.16658, and quantile values: 0.25 0.05249\n0.50 0.16658\n0.75 0.69423\nName: 14864, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2391872655125786, std values: 5.012555305750433, min values: 1.2168e-06, max values: 42.559, median values: 0.14688, and quantile values: 0.25 0.045303\n0.50 0.146880\n0.75 0.603425\nName: 14865, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6417654958862893, std values: 4.847159590655687, min values: 3.2202e-07, max values: 38.213, median values: 0.27942, and quantile values: 0.25 0.068009\n0.50 0.279420\n0.75 1.052395\nName: 14866, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5459529910217422, std values: 5.0689328033148024, min values: 2.4657e-08, max values: 42.862, median values: 0.21886, and quantile values: 0.25 0.054808\n0.50 0.218860\n0.75 1.024900\nName: 14867, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2908687731490565, std values: 4.949303690956517, min values: 2.0027e-06, max values: 40.666, median values: 0.15364, and quantile values: 0.25 0.050685\n0.50 0.153640\n0.75 0.626600\nName: 14868, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4887464357743396, std values: 5.007543543740501, min values: 8.4322e-07, max values: 41.201, median values: 0.22094, and quantile values: 0.25 0.058710\n0.50 0.220940\n0.75 0.896215\nName: 14869, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3396201083226413, std values: 4.520215973419042, min values: 0.0, max values: 38.187, median values: 0.21105, and quantile values: 0.25 0.061353\n0.50 0.211050\n0.75 0.738355\nName: 14870, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4596933648946164, std values: 4.882859998728471, min values: 2.7204e-08, max values: 40.386, median values: 0.19376, and quantile values: 0.25 0.048939\n0.50 0.193760\n0.75 0.873835\nName: 14871, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.557843932162893, std values: 5.0201483270332465, min values: 4.721e-06, max values: 40.879, median values: 0.25177, and quantile values: 0.25 0.072712\n0.50 0.251770\n0.75 0.891000\nName: 14872, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.532394693264151, std values: 4.987877081988234, min values: 1.7894e-06, max values: 40.631, median values: 0.26272, and quantile values: 0.25 0.065158\n0.50 0.262720\n0.75 0.957085\nName: 14873, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.803434872628239, std values: 5.278571949042019, min values: 3.1129e-07, max values: 43.839, median values: 0.29448, and quantile values: 0.25 0.07297\n0.50 0.29448\n0.75 1.24310\nName: 14874, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4284806438578617, std values: 4.859284825846271, min values: 1.1029e-06, max values: 39.257, median values: 0.19216, and quantile values: 0.25 0.064821\n0.50 0.192160\n0.75 0.845940\nName: 14875, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.43154561899761, std values: 4.8593068504597605, min values: 9.8382e-07, max values: 38.778, median values: 0.22099, and quantile values: 0.25 0.060735\n0.50 0.220990\n0.75 0.816760\nName: 14876, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5580491336355347, std values: 5.255960638489204, min values: 6.2145e-07, max values: 45.667, median values: 0.21643, and quantile values: 0.25 0.060706\n0.50 0.216430\n0.75 0.992225\nName: 14877, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4436524926653458, std values: 5.101662232309117, min values: 4.9639e-07, max values: 43.973, median values: 0.20313, and quantile values: 0.25 0.056066\n0.50 0.203130\n0.75 0.790485\nName: 14878, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3088926812000818, std values: 4.717793443654001, min values: 2.1353e-08, max values: 38.935, median values: 0.15185, and quantile values: 0.25 0.034638\n0.50 0.151850\n0.75 0.645375\nName: 14879, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.469429921342767, std values: 5.014647810859139, min values: 1.0008e-06, max values: 41.459, median values: 0.20891, and quantile values: 0.25 0.063910\n0.50 0.208910\n0.75 0.846685\nName: 14880, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.678524001371069, std values: 5.1065846981258645, min values: 6.329e-06, max values: 41.294, median values: 0.29364, and quantile values: 0.25 0.087992\n0.50 0.293640\n0.75 1.033850\nName: 14881, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3156881597706918, std values: 4.743430518420368, min values: 6.8194e-07, max values: 37.899, median values: 0.15825, and quantile values: 0.25 0.041201\n0.50 0.158250\n0.75 0.718715\nName: 14882, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5239440754489562, std values: 4.913473090343299, min values: 2.2084e-08, max values: 39.699, median values: 0.2306, and quantile values: 0.25 0.05342\n0.50 0.23060\n0.75 1.02385\nName: 14883, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5975229671, std values: 4.85952309452165, min values: 1.2552e-06, max values: 38.569, median values: 0.24807, and quantile values: 0.25 0.073508\n0.50 0.248070\n0.75 1.062250\nName: 14884, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8981956412704404, std values: 5.31678970176788, min values: 4.4123e-06, max values: 41.581, median values: 0.3234, and quantile values: 0.25 0.080265\n0.50 0.323400\n0.75 1.377150\nName: 14885, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.503070386179874, std values: 4.732497973203089, min values: 1.7531e-06, max values: 38.994, median values: 0.24918, and quantile values: 0.25 0.069474\n0.50 0.249180\n0.75 1.002760\nName: 14886, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4856262336893082, std values: 5.126481642425693, min values: 1.1229e-06, max values: 43.455, median values: 0.22179, and quantile values: 0.25 0.062377\n0.50 0.221790\n0.75 0.914970\nName: 14887, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5519830591101889, std values: 4.883776364966736, min values: 4.783e-08, max values: 39.638, median values: 0.20989, and quantile values: 0.25 0.055805\n0.50 0.209890\n0.75 0.968655\nName: 14888, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2648704987961639, std values: 4.554615317452031, min values: 4.2879e-07, max values: 36.962, median values: 0.15158, and quantile values: 0.25 0.043617\n0.50 0.151580\n0.75 0.692450\nName: 14889, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5996569069578617, std values: 4.810918873978187, min values: 1.0806e-06, max values: 38.229, median values: 0.21941, and quantile values: 0.25 0.069636\n0.50 0.219410\n0.75 1.153150\nName: 14890, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6368628937578615, std values: 4.931156469322836, min values: 1.2024e-06, max values: 38.577, median values: 0.30877, and quantile values: 0.25 0.072133\n0.50 0.308770\n0.75 1.113300\nName: 14891, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5818002898408803, std values: 5.130588071841352, min values: 2.0449e-06, max values: 41.868, median values: 0.24381, and quantile values: 0.25 0.070688\n0.50 0.243810\n0.75 0.940610\nName: 14892, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3991439220018866, std values: 5.025563307469083, min values: 2.3283e-06, max values: 41.124, median values: 0.21754, and quantile values: 0.25 0.057213\n0.50 0.217540\n0.75 0.755310\nName: 14893, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5503604103855346, std values: 5.102928523541727, min values: 1.1024e-06, max values: 42.639, median values: 0.22182, and quantile values: 0.25 0.056610\n0.50 0.221820\n0.75 0.884715\nName: 14894, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.655396662770465, std values: 4.815317531574317, min values: 3.7624e-08, max values: 36.867, median values: 0.24978, and quantile values: 0.25 0.06005\n0.50 0.24978\n0.75 1.18485\nName: 14895, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6306001476754717, std values: 5.371495993954699, min values: 2.2464e-06, max values: 46.897, median values: 0.2774, and quantile values: 0.25 0.076435\n0.50 0.277400\n0.75 0.986560\nName: 14896, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.523646749400629, std values: 4.975802294822194, min values: 2.4744e-06, max values: 40.061, median values: 0.22884, and quantile values: 0.25 0.066777\n0.50 0.228840\n0.75 0.953255\nName: 14897, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4546861225898116, std values: 4.828666564305525, min values: 6.9988e-07, max values: 38.927, median values: 0.24742, and quantile values: 0.25 0.070066\n0.50 0.247420\n0.75 0.912055\nName: 14898, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4580669076628934, std values: 4.936282077971687, min values: 1.0047e-06, max values: 40.259, median values: 0.21065, and quantile values: 0.25 0.05818\n0.50 0.21065\n0.75 0.89413\nName: 14899, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6519542794308173, std values: 4.9386517192231985, min values: 1.9465e-06, max values: 38.731, median values: 0.29315, and quantile values: 0.25 0.082071\n0.50 0.293150\n0.75 1.166950\nName: 14900, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5688895736477988, std values: 5.0321858610708725, min values: 4.5274e-06, max values: 40.762, median values: 0.22982, and quantile values: 0.25 0.066248\n0.50 0.229820\n0.75 0.926895\nName: 14901, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.369280081448302, std values: 4.650628838951305, min values: 8.2178e-07, max values: 37.31, median values: 0.19229, and quantile values: 0.25 0.053134\n0.50 0.192290\n0.75 0.838365\nName: 14902, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4148289663597486, std values: 4.801100805781377, min values: 1.3153e-06, max values: 38.658, median values: 0.24274, and quantile values: 0.25 0.066554\n0.50 0.242740\n0.75 0.814490\nName: 14903, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4693004496704403, std values: 4.94398814619692, min values: 5.823e-07, max values: 40.749, median values: 0.20795, and quantile values: 0.25 0.068988\n0.50 0.207950\n0.75 0.848600\nName: 14904, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4521657212125787, std values: 5.056813443280611, min values: 1.9745e-06, max values: 41.462, median values: 0.23928, and quantile values: 0.25 0.062305\n0.50 0.239280\n0.75 0.790535\nName: 14905, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2775268281867922, std values: 4.579208374355037, min values: 2.2588e-06, max values: 39.171, median values: 0.19767, and quantile values: 0.25 0.046386\n0.50 0.197670\n0.75 0.675580\nName: 14906, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4231657939052829, std values: 4.758158987651594, min values: 1.7604e-07, max values: 37.668, median values: 0.1817, and quantile values: 0.25 0.052111\n0.50 0.181700\n0.75 0.816595\nName: 14907, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4537863634496855, std values: 4.763154009972879, min values: 2.0675e-06, max values: 38.885, median values: 0.23002, and quantile values: 0.25 0.071522\n0.50 0.230020\n0.75 0.901885\nName: 14908, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.488499662544151, std values: 4.875469514738674, min values: 9.6182e-07, max values: 38.727, median values: 0.24919, and quantile values: 0.25 0.062535\n0.50 0.249190\n0.75 0.904470\nName: 14909, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.252969755107547, std values: 4.675338261883384, min values: 2.191e-07, max values: 37.584, median values: 0.15018, and quantile values: 0.25 0.042307\n0.50 0.150180\n0.75 0.630545\nName: 14910, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.437585291255975, std values: 5.151484686361933, min values: 1.317e-06, max values: 43.84, median values: 0.1839, and quantile values: 0.25 0.059415\n0.50 0.183900\n0.75 0.859385\nName: 14911, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4782943211772326, std values: 4.978527481043803, min values: 3.7728e-07, max values: 41.505, median values: 0.21825, and quantile values: 0.25 0.058253\n0.50 0.218250\n0.75 0.883415\nName: 14912, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5363232325018867, std values: 4.834199353241413, min values: 1.1039e-06, max values: 38.441, median values: 0.25556, and quantile values: 0.25 0.074734\n0.50 0.255560\n0.75 0.970185\nName: 14913, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5719135300314468, std values: 5.232849841614385, min values: 2.6628e-06, max values: 43.786, median values: 0.25733, and quantile values: 0.25 0.070392\n0.50 0.257330\n0.75 0.928775\nName: 14914, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9761366646522012, std values: 5.494220503193525, min values: 6.1967e-06, max values: 42.674, median values: 0.36447, and quantile values: 0.25 0.10668\n0.50 0.36447\n0.75 1.32990\nName: 14915, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5843768373886793, std values: 4.878754595879351, min values: 2.899e-06, max values: 39.506, median values: 0.24037, and quantile values: 0.25 0.072754\n0.50 0.240370\n0.75 1.077150\nName: 14916, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6043519427899373, std values: 5.040418630803031, min values: 3.0558e-06, max values: 40.226, median values: 0.25199, and quantile values: 0.25 0.074576\n0.50 0.251990\n0.75 0.976680\nName: 14917, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6167690706820756, std values: 5.281236274593661, min values: 3.5695e-07, max values: 46.511, median values: 0.24815, and quantile values: 0.25 0.059632\n0.50 0.248150\n0.75 0.975445\nName: 14918, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4575432766943395, std values: 5.108127788055577, min values: 8.567e-07, max values: 44.002, median values: 0.23017, and quantile values: 0.25 0.067048\n0.50 0.230170\n0.75 0.824470\nName: 14919, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.211779205563522, std values: 4.662906935700214, min values: 1.2879e-07, max values: 39.064, median values: 0.14048, and quantile values: 0.25 0.032819\n0.50 0.140480\n0.75 0.580980\nName: 14920, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4112771808831448, std values: 4.771211027307444, min values: 5.5362e-07, max values: 38.642, median values: 0.23135, and quantile values: 0.25 0.059524\n0.50 0.231350\n0.75 0.876850\nName: 14921, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7195693967106918, std values: 5.19376958592495, min values: 3.753e-06, max values: 40.732, median values: 0.26322, and quantile values: 0.25 0.077446\n0.50 0.263220\n0.75 1.089300\nName: 14922, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5104850489083648, std values: 4.704288902518834, min values: 8.6123e-07, max values: 37.893, median values: 0.24838, and quantile values: 0.25 0.073780\n0.50 0.248380\n0.75 0.994455\nName: 14923, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.38541770468239, std values: 4.820280699264834, min values: 5.006e-07, max values: 38.729, median values: 0.19269, and quantile values: 0.25 0.051953\n0.50 0.192690\n0.75 0.769450\nName: 14924, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4848572404729559, std values: 4.901167487822805, min values: 1.774e-06, max values: 38.906, median values: 0.21955, and quantile values: 0.25 0.059477\n0.50 0.219550\n0.75 0.881240\nName: 14925, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6136851857276728, std values: 4.8196314491170975, min values: 3.8766e-06, max values: 40.192, median values: 0.27533, and quantile values: 0.25 0.074485\n0.50 0.275330\n0.75 1.053650\nName: 14926, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5791288522311195, std values: 4.7535992719578815, min values: 2.4348e-08, max values: 37.883, median values: 0.27463, and quantile values: 0.25 0.068605\n0.50 0.274630\n0.75 1.041090\nName: 14927, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5354929623687044, std values: 5.133853339896539, min values: 1.4624e-08, max values: 44.62, median values: 0.19897, and quantile values: 0.25 0.046237\n0.50 0.198970\n0.75 0.940580\nName: 14928, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.150618515388176, std values: 4.5748439090339135, min values: 1.0589e-07, max values: 37.261, median values: 0.10738, and quantile values: 0.25 0.027662\n0.50 0.107380\n0.75 0.549405\nName: 14929, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3789460774735847, std values: 4.7538324490045145, min values: 1.9609e-06, max values: 39.472, median values: 0.18001, and quantile values: 0.25 0.059936\n0.50 0.180010\n0.75 0.853985\nName: 14930, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.344828162862893, std values: 4.8470057528243355, min values: 1.8314e-06, max values: 39.276, median values: 0.18007, and quantile values: 0.25 0.063866\n0.50 0.180070\n0.75 0.756355\nName: 14931, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6497707196527047, std values: 4.9841249798256655, min values: 4.9528e-07, max values: 39.601, median values: 0.30982, and quantile values: 0.25 0.077782\n0.50 0.309820\n0.75 1.057050\nName: 14932, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5323154975091822, std values: 4.9313452117412515, min values: 5.4526e-07, max values: 39.68, median values: 0.22945, and quantile values: 0.25 0.059280\n0.50 0.229450\n0.75 0.973485\nName: 14933, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3201382828113208, std values: 4.8167783009468135, min values: 1.6891e-06, max values: 38.587, median values: 0.19331, and quantile values: 0.25 0.052502\n0.50 0.193310\n0.75 0.765460\nName: 14934, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.344351169885472, std values: 4.8409067406306665, min values: 1.1538e-07, max values: 40.691, median values: 0.18099, and quantile values: 0.25 0.044654\n0.50 0.180990\n0.75 0.679610\nName: 14935, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6951059224496854, std values: 5.1085925023291905, min values: 1.3993e-06, max values: 41.187, median values: 0.26528, and quantile values: 0.25 0.07036\n0.50 0.26528\n0.75 1.23720\nName: 14936, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5249879053086164, std values: 4.8328725324525355, min values: 5.4627e-07, max values: 38.273, median values: 0.23773, and quantile values: 0.25 0.062233\n0.50 0.237730\n0.75 0.984575\nName: 14937, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3255841093734593, std values: 4.786614104497621, min values: 1.3486e-07, max values: 39.866, median values: 0.17091, and quantile values: 0.25 0.043211\n0.50 0.170910\n0.75 0.711330\nName: 14938, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7030173355691824, std values: 5.315184497848665, min values: 5.5148e-06, max values: 42.156, median values: 0.28614, and quantile values: 0.25 0.07932\n0.50 0.28614\n0.75 1.04425\nName: 14939, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2312720899691822, std values: 4.775219781774055, min values: 2.8294e-06, max values: 40.22, median values: 0.15672, and quantile values: 0.25 0.050439\n0.50 0.156720\n0.75 0.610300\nName: 14940, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4087607203687422, std values: 4.910769610498297, min values: 1.6167e-07, max values: 41.236, median values: 0.19007, and quantile values: 0.25 0.048236\n0.50 0.190070\n0.75 0.832940\nName: 14941, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5168625130163522, std values: 5.16174183018903, min values: 3.5348e-06, max values: 42.443, median values: 0.2314, and quantile values: 0.25 0.065239\n0.50 0.231400\n0.75 0.890840\nName: 14942, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.657416949235849, std values: 4.922208190650652, min values: 2.5709e-06, max values: 39.462, median values: 0.27923, and quantile values: 0.25 0.083956\n0.50 0.279230\n0.75 1.105550\nName: 14943, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5314834083949687, std values: 5.2570417445323, min values: 3.1813e-06, max values: 44.36, median values: 0.22738, and quantile values: 0.25 0.067049\n0.50 0.227380\n0.75 0.850145\nName: 14944, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5290997994754718, std values: 4.947939664264693, min values: 3.6896e-06, max values: 40.022, median values: 0.26028, and quantile values: 0.25 0.069427\n0.50 0.260280\n0.75 0.893425\nName: 14945, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2068288207393711, std values: 4.814761420094792, min values: 4.8056e-07, max values: 40.472, median values: 0.14521, and quantile values: 0.25 0.045447\n0.50 0.145210\n0.75 0.575290\nName: 14946, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.487835724454717, std values: 4.881943041919592, min values: 4.021e-07, max values: 39.869, median values: 0.22521, and quantile values: 0.25 0.060686\n0.50 0.225210\n0.75 0.935890\nName: 14947, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4398692754525158, std values: 4.822995653458883, min values: 9.3605e-07, max values: 38.865, median values: 0.21025, and quantile values: 0.25 0.060361\n0.50 0.210250\n0.75 0.857900\nName: 14948, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4917649948471696, std values: 4.9110289922572, min values: 1.4851e-06, max values: 39.12, median values: 0.23651, and quantile values: 0.25 0.070570\n0.50 0.236510\n0.75 0.924635\nName: 14949, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3435353612410061, std values: 4.956849709483691, min values: 6.3412e-07, max values: 41.924, median values: 0.14063, and quantile values: 0.25 0.044024\n0.50 0.140630\n0.75 0.714985\nName: 14950, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4729684798993712, std values: 5.072742101828891, min values: 2.1444e-06, max values: 41.017, median values: 0.20867, and quantile values: 0.25 0.055435\n0.50 0.208670\n0.75 0.843080\nName: 14951, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6332301637088051, std values: 5.21327459667874, min values: 3.1423e-06, max values: 42.752, median values: 0.23961, and quantile values: 0.25 0.074372\n0.50 0.239610\n0.75 1.045400\nName: 14952, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4693403666572327, std values: 5.074125415693035, min values: 2.7258e-06, max values: 42.13, median values: 0.20941, and quantile values: 0.25 0.063939\n0.50 0.209410\n0.75 0.862790\nName: 14953, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4132553398918237, std values: 4.744795800360703, min values: 2.3411e-06, max values: 39.281, median values: 0.21855, and quantile values: 0.25 0.062671\n0.50 0.218550\n0.75 0.810850\nName: 14954, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6748984309735848, std values: 4.932073345990632, min values: 3.5776e-06, max values: 40.153, median values: 0.27633, and quantile values: 0.25 0.083338\n0.50 0.276330\n0.75 1.142200\nName: 14955, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6319194356289306, std values: 5.031026498997542, min values: 4.4729e-06, max values: 40.081, median values: 0.25794, and quantile values: 0.25 0.083048\n0.50 0.257940\n0.75 1.002355\nName: 14956, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4289805328962266, std values: 5.252344775148533, min values: 1.5034e-06, max values: 46.485, median values: 0.20415, and quantile values: 0.25 0.055609\n0.50 0.204150\n0.75 0.810110\nName: 14957, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.570212874508805, std values: 4.833541778409251, min values: 2.188e-06, max values: 39.428, median values: 0.25294, and quantile values: 0.25 0.074513\n0.50 0.252940\n0.75 1.028170\nName: 14958, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4644795916477988, std values: 4.668224823150625, min values: 1.0379e-06, max values: 38.237, median values: 0.2493, and quantile values: 0.25 0.064321\n0.50 0.249300\n0.75 0.941180\nName: 14959, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5093436297905658, std values: 4.984607402922051, min values: 3.3799e-06, max values: 40.433, median values: 0.25174, and quantile values: 0.25 0.066963\n0.50 0.251740\n0.75 0.873800\nName: 14960, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.560092368227044, std values: 5.041144967720001, min values: 4.5726e-06, max values: 40.518, median values: 0.2399, and quantile values: 0.25 0.067335\n0.50 0.239900\n0.75 0.984180\nName: 14961, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2190397813538998, std values: 4.63598770522863, min values: 2.4067e-07, max values: 37.34, median values: 0.12662, and quantile values: 0.25 0.041059\n0.50 0.126620\n0.75 0.605165\nName: 14962, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7616417609968555, std values: 5.102624877254117, min values: 3.9555e-06, max values: 40.586, median values: 0.31068, and quantile values: 0.25 0.087697\n0.50 0.310680\n0.75 1.186650\nName: 14963, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.33773241343522, std values: 4.813510372959393, min values: 3.7453e-06, max values: 40.348, median values: 0.18108, and quantile values: 0.25 0.051316\n0.50 0.181080\n0.75 0.662490\nName: 14964, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5856360748251572, std values: 4.8934522610478135, min values: 2.2862e-06, max values: 38.267, median values: 0.27706, and quantile values: 0.25 0.086054\n0.50 0.277060\n0.75 1.108100\nName: 14965, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4906876155719497, std values: 4.903453596833992, min values: 8.8734e-07, max values: 40.16, median values: 0.23785, and quantile values: 0.25 0.070321\n0.50 0.237850\n0.75 0.954135\nName: 14966, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.640597393083019, std values: 5.123692092020084, min values: 2.2047e-06, max values: 42.208, median values: 0.28949, and quantile values: 0.25 0.079102\n0.50 0.289490\n0.75 1.093850\nName: 14967, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4455822080159748, std values: 4.727796514427045, min values: 8.8624e-07, max values: 38.273, median values: 0.20068, and quantile values: 0.25 0.061016\n0.50 0.200680\n0.75 0.911545\nName: 14968, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4430824160207547, std values: 5.062001936091957, min values: 2.887e-06, max values: 40.972, median values: 0.20189, and quantile values: 0.25 0.054358\n0.50 0.201890\n0.75 0.808065\nName: 14969, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3530018827637733, std values: 4.757531193854749, min values: 6.0674e-07, max values: 38.543, median values: 0.19307, and quantile values: 0.25 0.053864\n0.50 0.193070\n0.75 0.792325\nName: 14970, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1996405966396224, std values: 4.462342867184139, min values: 1.3388e-07, max values: 37.184, median values: 0.13691, and quantile values: 0.25 0.040514\n0.50 0.136910\n0.75 0.597900\nName: 14971, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6307091534578613, std values: 4.8850113732941995, min values: 3.6472e-06, max values: 39.431, median values: 0.26634, and quantile values: 0.25 0.081082\n0.50 0.266340\n0.75 1.068300\nName: 14972, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.268371647166981, std values: 4.581809949704454, min values: 7.5095e-07, max values: 38.612, median values: 0.16124, and quantile values: 0.25 0.048881\n0.50 0.161240\n0.75 0.693580\nName: 14973, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.385474880127673, std values: 4.622985724510143, min values: 1.9029e-06, max values: 38.8, median values: 0.20351, and quantile values: 0.25 0.059993\n0.50 0.203510\n0.75 0.833915\nName: 14974, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4308865690238994, std values: 4.912359386440363, min values: 2.4198e-06, max values: 40.083, median values: 0.19565, and quantile values: 0.25 0.057724\n0.50 0.195650\n0.75 0.824065\nName: 14975, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3635008493841132, std values: 4.836030099864151, min values: 1.3434e-08, max values: 40.239, median values: 0.1739, and quantile values: 0.25 0.034197\n0.50 0.173900\n0.75 0.758070\nName: 14976, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6377550070811322, std values: 5.151377794680121, min values: 3.7211e-06, max values: 41.05, median values: 0.25873, and quantile values: 0.25 0.076761\n0.50 0.258730\n0.75 0.999890\nName: 14977, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4256479036433334, std values: 4.842593372973139, min values: 4.5869e-07, max values: 38.778, median values: 0.20612, and quantile values: 0.25 0.056624\n0.50 0.206120\n0.75 0.824820\nName: 14978, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4375500042400629, std values: 4.960528771356943, min values: 2.5207e-07, max values: 41.594, median values: 0.1866, and quantile values: 0.25 0.054555\n0.50 0.186600\n0.75 0.837180\nName: 14979, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7574693952685534, std values: 5.071639480863438, min values: 4.3127e-06, max values: 39.321, median values: 0.29709, and quantile values: 0.25 0.095062\n0.50 0.297090\n0.75 1.201900\nName: 14980, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.556897959836478, std values: 4.876463945244071, min values: 2.5495e-06, max values: 39.866, median values: 0.24324, and quantile values: 0.25 0.076595\n0.50 0.243240\n0.75 0.988880\nName: 14981, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5366324073358488, std values: 4.608957909739142, min values: 1.4523e-06, max values: 38.616, median values: 0.25011, and quantile values: 0.25 0.073752\n0.50 0.250110\n0.75 1.060950\nName: 14982, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5257079036943395, std values: 5.045156426077106, min values: 1.7794e-06, max values: 40.729, median values: 0.23487, and quantile values: 0.25 0.061888\n0.50 0.234870\n0.75 0.949195\nName: 14983, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4406805103935851, std values: 4.989936894091479, min values: 6.2818e-07, max values: 42.111, median values: 0.19112, and quantile values: 0.25 0.056184\n0.50 0.191120\n0.75 0.820745\nName: 14984, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.539620819925157, std values: 4.973864922112566, min values: 2.696e-06, max values: 39.616, median values: 0.27061, and quantile values: 0.25 0.071859\n0.50 0.270610\n0.75 0.964340\nName: 14985, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.41697874685678, std values: 4.825646081890684, min values: 2.7028e-08, max values: 39.147, median values: 0.18185, and quantile values: 0.25 0.045537\n0.50 0.181850\n0.75 0.755910\nName: 14986, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8376068207144651, std values: 5.040481389672826, min values: 3.2544e-06, max values: 39.393, median values: 0.33766, and quantile values: 0.25 0.091132\n0.50 0.337660\n0.75 1.385300\nName: 14987, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4242140281525157, std values: 4.808869258508242, min values: 4.0185e-07, max values: 38.275, median values: 0.20366, and quantile values: 0.25 0.056231\n0.50 0.203660\n0.75 0.922485\nName: 14988, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5516206200465408, std values: 5.048595320762844, min values: 2.4324e-06, max values: 41.135, median values: 0.23418, and quantile values: 0.25 0.066717\n0.50 0.234180\n0.75 0.988810\nName: 14989, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.513853041319497, std values: 5.053814825690459, min values: 3.3883e-06, max values: 40.294, median values: 0.25376, and quantile values: 0.25 0.073193\n0.50 0.253760\n0.75 0.854400\nName: 14990, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4066554209238995, std values: 4.76445553826037, min values: 1.4435e-06, max values: 39.284, median values: 0.19227, and quantile values: 0.25 0.058246\n0.50 0.192270\n0.75 0.825020\nName: 14991, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3064313653995094, std values: 4.907564311790372, min values: 8.8232e-08, max values: 42.091, median values: 0.16226, and quantile values: 0.25 0.039913\n0.50 0.162260\n0.75 0.666750\nName: 14992, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.638124990264151, std values: 5.150806715047753, min values: 5.418e-06, max values: 40.911, median values: 0.27518, and quantile values: 0.25 0.07777\n0.50 0.27518\n0.75 0.94749\nName: 14993, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3602278812057862, std values: 4.731832370394574, min values: 8.0312e-07, max values: 37.974, median values: 0.19973, and quantile values: 0.25 0.058156\n0.50 0.199730\n0.75 0.818330\nName: 14994, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4273148494056604, std values: 4.84156396755267, min values: 6.027e-07, max values: 39.189, median values: 0.21166, and quantile values: 0.25 0.058553\n0.50 0.211660\n0.75 0.887810\nName: 14995, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.350428123698679, std values: 4.827307152429563, min values: 5.0199e-07, max values: 38.72, median values: 0.20294, and quantile values: 0.25 0.049708\n0.50 0.202940\n0.75 0.701610\nName: 14996, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3104092225037738, std values: 4.835007094573954, min values: 2.4579e-06, max values: 40.293, median values: 0.18509, and quantile values: 0.25 0.055494\n0.50 0.185090\n0.75 0.683585\nName: 14997, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.406306419657547, std values: 4.721890261446449, min values: 5.4125e-07, max values: 38.499, median values: 0.20245, and quantile values: 0.25 0.060477\n0.50 0.202450\n0.75 0.866295\nName: 14998, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.644088465390566, std values: 5.024328162043717, min values: 2.7693e-06, max values: 39.504, median values: 0.26845, and quantile values: 0.25 0.079663\n0.50 0.268450\n0.75 1.077050\nName: 14999, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2383264673803835, std values: 4.463330597909376, min values: 1.6991e-08, max values: 36.662, median values: 0.14087, and quantile values: 0.25 0.035599\n0.50 0.140870\n0.75 0.675075\nName: 15000, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.376753017339522, std values: 4.599994995780556, min values: 2.4174e-08, max values: 37.231, median values: 0.19714, and quantile values: 0.25 0.049841\n0.50 0.197140\n0.75 0.888010\nName: 15001, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5217743555075471, std values: 5.034294682869236, min values: 1.6039e-06, max values: 41.155, median values: 0.19985, and quantile values: 0.25 0.060536\n0.50 0.199850\n0.75 0.896095\nName: 15002, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3444015526620126, std values: 4.505285519770991, min values: 9.0186e-07, max values: 38.217, median values: 0.18471, and quantile values: 0.25 0.054859\n0.50 0.184710\n0.75 0.844015\nName: 15003, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8811111629716983, std values: 5.396944831749161, min values: 3.8853e-06, max values: 43.287, median values: 0.33102, and quantile values: 0.25 0.091442\n0.50 0.331020\n0.75 1.232400\nName: 15004, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.66024502691761, std values: 5.086517930727517, min values: 2.4616e-06, max values: 40.314, median values: 0.28026, and quantile values: 0.25 0.076409\n0.50 0.280260\n0.75 1.132750\nName: 15005, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6281017384779874, std values: 5.397271355185432, min values: 1.0686e-06, max values: 48.399, median values: 0.28799, and quantile values: 0.25 0.076823\n0.50 0.287990\n0.75 1.021650\nName: 15006, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4831196357549685, std values: 5.304313304009367, min values: 3.0174e-07, max values: 48.211, median values: 0.18825, and quantile values: 0.25 0.053927\n0.50 0.188250\n0.75 0.810560\nName: 15007, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5744082038850944, std values: 5.268162890023645, min values: 1.6655e-07, max values: 46.93, median values: 0.1677, and quantile values: 0.25 0.040934\n0.50 0.167700\n0.75 0.896000\nName: 15008, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4018294616886795, std values: 4.936501453217595, min values: 3.9394e-06, max values: 40.724, median values: 0.21728, and quantile values: 0.25 0.04665\n0.50 0.21728\n0.75 0.75019\nName: 15009, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4270347426522012, std values: 4.600898955303477, min values: 1.0953e-06, max values: 37.792, median values: 0.21296, and quantile values: 0.25 0.064801\n0.50 0.212960\n0.75 0.898310\nName: 15010, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.539557275108805, std values: 4.784984230177354, min values: 2.5584e-06, max values: 38.929, median values: 0.2681, and quantile values: 0.25 0.074501\n0.50 0.268100\n0.75 1.017710\nName: 15011, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.392056559362264, std values: 4.821932840071548, min values: 2.78e-06, max values: 40.065, median values: 0.19921, and quantile values: 0.25 0.05801\n0.50 0.19921\n0.75 0.78161\nName: 15012, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4821224885031445, std values: 5.092657691594192, min values: 2.4359e-06, max values: 42.082, median values: 0.23257, and quantile values: 0.25 0.06146\n0.50 0.23257\n0.75 0.88225\nName: 15013, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7862288525893084, std values: 5.141004365818007, min values: 3.2892e-06, max values: 40.141, median values: 0.29889, and quantile values: 0.25 0.078931\n0.50 0.298890\n0.75 1.221100\nName: 15014, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3891943834347922, std values: 4.766709375221867, min values: 2.5752e-08, max values: 38.649, median values: 0.20794, and quantile values: 0.25 0.052273\n0.50 0.207940\n0.75 0.826025\nName: 15015, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5724837049201257, std values: 5.126572874921529, min values: 1.0568e-06, max values: 43.126, median values: 0.24533, and quantile values: 0.25 0.070099\n0.50 0.245330\n0.75 0.987080\nName: 15016, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5817082830270441, std values: 5.1580055906615545, min values: 3.2198e-06, max values: 41.404, median values: 0.25837, and quantile values: 0.25 0.072042\n0.50 0.258370\n0.75 0.907020\nName: 15017, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3073637914135852, std values: 4.842825284635842, min values: 7.1826e-07, max values: 39.418, median values: 0.15411, and quantile values: 0.25 0.054420\n0.50 0.154110\n0.75 0.723645\nName: 15018, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2602438095008806, std values: 4.615168552370225, min values: 2.6166e-07, max values: 36.85, median values: 0.16044, and quantile values: 0.25 0.039330\n0.50 0.160440\n0.75 0.669885\nName: 15019, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5147302500218869, std values: 4.958800067564285, min values: 7.5878e-07, max values: 40.862, median values: 0.24815, and quantile values: 0.25 0.064476\n0.50 0.248150\n0.75 0.970205\nName: 15020, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.524198346693082, std values: 4.909947296218573, min values: 1.4219e-06, max values: 38.618, median values: 0.22587, and quantile values: 0.25 0.060083\n0.50 0.225870\n0.75 0.999510\nName: 15021, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5984858886584905, std values: 5.15442667644032, min values: 1.9144e-06, max values: 42.875, median values: 0.24789, and quantile values: 0.25 0.066636\n0.50 0.247890\n0.75 1.065350\nName: 15022, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4797111856169813, std values: 4.7519653914485644, min values: 1.1295e-06, max values: 38.098, median values: 0.22978, and quantile values: 0.25 0.058739\n0.50 0.229780\n0.75 0.898440\nName: 15023, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3557335712440253, std values: 4.961966310211139, min values: 1.1567e-06, max values: 39.874, median values: 0.17942, and quantile values: 0.25 0.055621\n0.50 0.179420\n0.75 0.615915\nName: 15024, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4969424390452706, std values: 4.973497252584269, min values: 2.6178e-08, max values: 42.021, median values: 0.20433, and quantile values: 0.25 0.046500\n0.50 0.204330\n0.75 0.937825\nName: 15025, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4536607004430817, std values: 4.915333916403784, min values: 5.5775e-07, max values: 39.522, median values: 0.21572, and quantile values: 0.25 0.053935\n0.50 0.215720\n0.75 0.811050\nName: 15026, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4220012269298743, std values: 4.992425859665088, min values: 5.5405e-07, max values: 42.291, median values: 0.18887, and quantile values: 0.25 0.052552\n0.50 0.188870\n0.75 0.790100\nName: 15027, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4218221822849058, std values: 4.820323756350846, min values: 1.3032e-06, max values: 38.887, median values: 0.20442, and quantile values: 0.25 0.064231\n0.50 0.204420\n0.75 0.849435\nName: 15028, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.222626000155975, std values: 4.673344946626298, min values: 1.4831e-06, max values: 38.939, median values: 0.14198, and quantile values: 0.25 0.044665\n0.50 0.141980\n0.75 0.636595\nName: 15029, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4545534766678614, std values: 4.770791829960299, min values: 8.9169e-07, max values: 37.794, median values: 0.24148, and quantile values: 0.25 0.062011\n0.50 0.241480\n0.75 0.892475\nName: 15030, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5857819490861635, std values: 5.075472040180378, min values: 6.3318e-06, max values: 41.346, median values: 0.24533, and quantile values: 0.25 0.067744\n0.50 0.245330\n0.75 0.927195\nName: 15031, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5764888814007547, std values: 5.245586689690593, min values: 8.0392e-07, max values: 45.6, median values: 0.22613, and quantile values: 0.25 0.065578\n0.50 0.226130\n0.75 0.962465\nName: 15032, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3584996556349058, std values: 4.835678037091802, min values: 2.4955e-07, max values: 39.837, median values: 0.18267, and quantile values: 0.25 0.052946\n0.50 0.182670\n0.75 0.773720\nName: 15033, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4459275866050314, std values: 4.9590206970281665, min values: 6.266e-07, max values: 41.672, median values: 0.19069, and quantile values: 0.25 0.054068\n0.50 0.190690\n0.75 0.737460\nName: 15034, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2734041741333333, std values: 4.919708125860724, min values: 2.7924e-06, max values: 40.652, median values: 0.15032, and quantile values: 0.25 0.051894\n0.50 0.150320\n0.75 0.609240\nName: 15035, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.636699220444654, std values: 4.9917249868121605, min values: 5.1014e-06, max values: 40.42, median values: 0.26404, and quantile values: 0.25 0.077596\n0.50 0.264040\n0.75 1.001175\nName: 15036, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.697816614546541, std values: 4.9116579311529955, min values: 1.5221e-06, max values: 39.041, median values: 0.30497, and quantile values: 0.25 0.076535\n0.50 0.304970\n0.75 1.180500\nName: 15037, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4554230807553459, std values: 5.0394490035186985, min values: 1.4052e-06, max values: 41.742, median values: 0.24403, and quantile values: 0.25 0.065714\n0.50 0.244030\n0.75 0.871490\nName: 15038, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6248195209295597, std values: 5.165597546462339, min values: 4.5013e-06, max values: 40.969, median values: 0.28126, and quantile values: 0.25 0.078149\n0.50 0.281260\n0.75 0.941535\nName: 15039, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5471665092538993, std values: 4.77623904820518, min values: 4.2667e-07, max values: 37.196, median values: 0.26073, and quantile values: 0.25 0.062371\n0.50 0.260730\n0.75 0.978640\nName: 15040, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6284529725301888, std values: 4.953464938426962, min values: 2.286e-06, max values: 39.465, median values: 0.26199, and quantile values: 0.25 0.074226\n0.50 0.261990\n0.75 1.117950\nName: 15041, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6184805569550946, std values: 4.921385891781671, min values: 4.1946e-07, max values: 39.303, median values: 0.23679, and quantile values: 0.25 0.06332\n0.50 0.23679\n0.75 1.01955\nName: 15042, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4854905119340882, std values: 4.778590092291267, min values: 8.3712e-07, max values: 37.987, median values: 0.23799, and quantile values: 0.25 0.065184\n0.50 0.237990\n0.75 0.959795\nName: 15043, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4473626126528052, std values: 4.849645147880002, min values: 6.5096e-08, max values: 39.436, median values: 0.19903, and quantile values: 0.25 0.052314\n0.50 0.199030\n0.75 0.850325\nName: 15044, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5532116607684905, std values: 4.929721841478797, min values: 1.5149e-07, max values: 39.978, median values: 0.20111, and quantile values: 0.25 0.06051\n0.50 0.20111\n0.75 1.05310\nName: 15045, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3457583034786793, std values: 4.9608426981923115, min values: 2.244e-08, max values: 42.885, median values: 0.14529, and quantile values: 0.25 0.037015\n0.50 0.145290\n0.75 0.702025\nName: 15046, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.552871311364151, std values: 4.888025210843473, min values: 1.256e-06, max values: 38.525, median values: 0.25762, and quantile values: 0.25 0.069796\n0.50 0.257620\n0.75 1.022050\nName: 15047, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7477975764855347, std values: 5.24678082719688, min values: 6.877e-06, max values: 40.981, median values: 0.29287, and quantile values: 0.25 0.082085\n0.50 0.292870\n0.75 1.093650\nName: 15048, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3376944830515722, std values: 4.895976611753622, min values: 8.706e-07, max values: 40.537, median values: 0.16168, and quantile values: 0.25 0.049425\n0.50 0.161680\n0.75 0.713950\nName: 15049, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6498899177578616, std values: 4.923012491372138, min values: 1.4492e-06, max values: 38.528, median values: 0.27412, and quantile values: 0.25 0.077064\n0.50 0.274120\n0.75 1.158150\nName: 15050, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.41900325012761, std values: 4.952729918226653, min values: 6.222e-08, max values: 42.59, median values: 0.18117, and quantile values: 0.25 0.049631\n0.50 0.181170\n0.75 0.795860\nName: 15051, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7125748281710693, std values: 4.997570389140909, min values: 4.641e-06, max values: 40.435, median values: 0.29515, and quantile values: 0.25 0.090635\n0.50 0.295150\n0.75 1.115650\nName: 15052, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5502341426132074, std values: 4.78110685196361, min values: 1.4111e-06, max values: 38.128, median values: 0.27109, and quantile values: 0.25 0.085570\n0.50 0.271090\n0.75 1.025185\nName: 15053, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7741463574823901, std values: 5.265055314719873, min values: 2.2464e-06, max values: 42.991, median values: 0.30184, and quantile values: 0.25 0.08242\n0.50 0.30184\n0.75 1.27970\nName: 15054, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6286370692364778, std values: 5.15324823215242, min values: 1.1624e-06, max values: 43.401, median values: 0.26982, and quantile values: 0.25 0.074751\n0.50 0.269820\n0.75 1.033250\nName: 15055, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.490683925966038, std values: 5.209595184448181, min values: 2.9488e-06, max values: 43.494, median values: 0.20729, and quantile values: 0.25 0.059809\n0.50 0.207290\n0.75 0.823450\nName: 15056, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6081809754496859, std values: 4.994900458280977, min values: 2.0027e-06, max values: 39.626, median values: 0.24669, and quantile values: 0.25 0.077718\n0.50 0.246690\n0.75 1.066700\nName: 15057, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4825838893871697, std values: 4.872630995933719, min values: 9.1576e-07, max values: 39.059, median values: 0.24773, and quantile values: 0.25 0.064841\n0.50 0.247730\n0.75 0.929220\nName: 15058, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6149425369069184, std values: 5.2477935484563645, min values: 2.0415e-06, max values: 44.258, median values: 0.27115, and quantile values: 0.25 0.07302\n0.50 0.27115\n0.75 1.05030\nName: 15059, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2827310589261005, std values: 4.529073486670997, min values: 9.8655e-07, max values: 38.833, median values: 0.21194, and quantile values: 0.25 0.057595\n0.50 0.211940\n0.75 0.732490\nName: 15060, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3617344814012766, std values: 4.643814060900185, min values: 1.5959e-08, max values: 37.259, median values: 0.16757, and quantile values: 0.25 0.039273\n0.50 0.167570\n0.75 0.731305\nName: 15061, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2098463294048805, std values: 4.823472541532898, min values: 1.9056e-08, max values: 41.491, median values: 0.1454, and quantile values: 0.25 0.033513\n0.50 0.145400\n0.75 0.595945\nName: 15062, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7617208518761005, std values: 5.889463186487596, min values: 3.0315e-06, max values: 54.804, median values: 0.27311, and quantile values: 0.25 0.079406\n0.50 0.273110\n0.75 1.131800\nName: 15063, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4594035377354464, std values: 4.971052969672823, min values: 1.9736e-08, max values: 41.567, median values: 0.204, and quantile values: 0.25 0.053081\n0.50 0.204000\n0.75 0.844275\nName: 15064, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7036439560520755, std values: 4.9786046797996315, min values: 6.6538e-07, max values: 39.329, median values: 0.26337, and quantile values: 0.25 0.073831\n0.50 0.263370\n0.75 1.190850\nName: 15065, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.317883095773157, std values: 4.644367718546631, min values: 2.2852e-08, max values: 37.212, median values: 0.19425, and quantile values: 0.25 0.041716\n0.50 0.194250\n0.75 0.707925\nName: 15066, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5855659347691193, std values: 5.06928792239608, min values: 3.53e-07, max values: 43.027, median values: 0.24353, and quantile values: 0.25 0.061517\n0.50 0.243530\n0.75 0.992485\nName: 15067, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.661576466045912, std values: 5.002933091587993, min values: 4.789e-06, max values: 40.731, median values: 0.26345, and quantile values: 0.25 0.078768\n0.50 0.263450\n0.75 1.072250\nName: 15068, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5246234592232706, std values: 5.158659602460728, min values: 1.6984e-06, max values: 43.799, median values: 0.2278, and quantile values: 0.25 0.064178\n0.50 0.227800\n0.75 0.909540\nName: 15069, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3674884253694528, std values: 4.77394950703367, min values: 3.2193e-08, max values: 39.407, median values: 0.18112, and quantile values: 0.25 0.045146\n0.50 0.181120\n0.75 0.756285\nName: 15070, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3212004994940882, std values: 4.664435657261339, min values: 6.9826e-07, max values: 37.705, median values: 0.18311, and quantile values: 0.25 0.052123\n0.50 0.183110\n0.75 0.729000\nName: 15071, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5496807235685535, std values: 5.367430623037905, min values: 1.733e-06, max values: 47.303, median values: 0.22945, and quantile values: 0.25 0.061433\n0.50 0.229450\n0.75 0.947770\nName: 15072, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3346897038056602, std values: 4.69800985556818, min values: 1.2111e-06, max values: 38.143, median values: 0.21104, and quantile values: 0.25 0.064787\n0.50 0.211040\n0.75 0.761580\nName: 15073, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3119814209286162, std values: 4.798252951148167, min values: 3.1967e-07, max values: 39.6, median values: 0.16328, and quantile values: 0.25 0.042779\n0.50 0.163280\n0.75 0.674345\nName: 15074, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3112804710138364, std values: 4.6514101223591515, min values: 8.882e-07, max values: 37.947, median values: 0.1682, and quantile values: 0.25 0.056267\n0.50 0.168200\n0.75 0.772395\nName: 15075, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6070601997119496, std values: 5.033707079445291, min values: 5.7391e-06, max values: 41.012, median values: 0.28558, and quantile values: 0.25 0.081924\n0.50 0.285580\n0.75 0.928110\nName: 15076, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3426754931157232, std values: 4.718331707947051, min values: 1.753e-06, max values: 38.907, median values: 0.19556, and quantile values: 0.25 0.055639\n0.50 0.195560\n0.75 0.763200\nName: 15077, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3551612774869182, std values: 4.637045345164541, min values: 4.2582e-07, max values: 37.453, median values: 0.18832, and quantile values: 0.25 0.052346\n0.50 0.188320\n0.75 0.748185\nName: 15078, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5788654850786792, std values: 4.777404619198363, min values: 8.6181e-07, max values: 37.799, median values: 0.25193, and quantile values: 0.25 0.070946\n0.50 0.251930\n0.75 1.046600\nName: 15079, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6392123643729561, std values: 5.271938518835683, min values: 3.1615e-06, max values: 44.591, median values: 0.25567, and quantile values: 0.25 0.079687\n0.50 0.255670\n0.75 1.030300\nName: 15080, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.666840870127673, std values: 5.131737317763113, min values: 5.2527e-06, max values: 40.339, median values: 0.29267, and quantile values: 0.25 0.077022\n0.50 0.292670\n0.75 1.017820\nName: 15081, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3255539042618931, std values: 4.853491366549249, min values: 1.8231e-08, max values: 41.512, median values: 0.1599, and quantile values: 0.25 0.036083\n0.50 0.159900\n0.75 0.664390\nName: 15082, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.598033644958742, std values: 4.960199313946044, min values: 2.3794e-07, max values: 39.953, median values: 0.25913, and quantile values: 0.25 0.058806\n0.50 0.259130\n0.75 1.051900\nName: 15083, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.774837166410063, std values: 5.225837715940688, min values: 1.9615e-06, max values: 42.658, median values: 0.27923, and quantile values: 0.25 0.080519\n0.50 0.279230\n0.75 1.217850\nName: 15084, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4739464866490566, std values: 4.9505755580684845, min values: 4.6669e-06, max values: 40.921, median values: 0.23933, and quantile values: 0.25 0.064672\n0.50 0.239330\n0.75 0.816675\nName: 15085, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4181689851496855, std values: 4.827893983274731, min values: 1.5587e-06, max values: 39.238, median values: 0.18667, and quantile values: 0.25 0.052547\n0.50 0.186670\n0.75 0.802980\nName: 15086, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2752548999502766, std values: 4.61610350330727, min values: 3.1764e-08, max values: 36.725, median values: 0.19308, and quantile values: 0.25 0.044111\n0.50 0.193080\n0.75 0.725410\nName: 15087, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7159626127767298, std values: 5.179837972006577, min values: 4.6439e-06, max values: 41.025, median values: 0.30521, and quantile values: 0.25 0.088883\n0.50 0.305210\n0.75 1.115700\nName: 15088, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3561997257850946, std values: 4.664826453303629, min values: 5.9443e-07, max values: 38.197, median values: 0.19419, and quantile values: 0.25 0.054259\n0.50 0.194190\n0.75 0.815105\nName: 15089, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.50193816375283, std values: 4.816619646589927, min values: 1.6583e-06, max values: 39.065, median values: 0.21148, and quantile values: 0.25 0.064647\n0.50 0.211480\n0.75 0.992765\nName: 15090, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3120421659969181, std values: 4.649682038019172, min values: 2.9861e-07, max values: 37.942, median values: 0.18912, and quantile values: 0.25 0.055074\n0.50 0.189120\n0.75 0.754785\nName: 15091, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.446404433781132, std values: 4.9633665386273975, min values: 5.718e-07, max values: 41.224, median values: 0.201, and quantile values: 0.25 0.056035\n0.50 0.201000\n0.75 0.860850\nName: 15092, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4367398625226415, std values: 4.73086848742029, min values: 2.2641e-06, max values: 40.111, median values: 0.23251, and quantile values: 0.25 0.060669\n0.50 0.232510\n0.75 0.884750\nName: 15093, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.45427535271717, std values: 4.97146270140164, min values: 3.4863e-07, max values: 41.596, median values: 0.21034, and quantile values: 0.25 0.056496\n0.50 0.210340\n0.75 0.863760\nName: 15094, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5192600032295596, std values: 4.912273886176174, min values: 2.6654e-06, max values: 39.118, median values: 0.27177, and quantile values: 0.25 0.068933\n0.50 0.271770\n0.75 0.981400\nName: 15095, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3758640159867925, std values: 4.966597075685494, min values: 1.2759e-06, max values: 41.273, median values: 0.1823, and quantile values: 0.25 0.060324\n0.50 0.182300\n0.75 0.786860\nName: 15096, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6206240276470438, std values: 4.917575369770874, min values: 8.8578e-07, max values: 38.677, median values: 0.26803, and quantile values: 0.25 0.06327\n0.50 0.26803\n0.75 1.08615\nName: 15097, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3422866104559685, std values: 4.7009190312800175, min values: 1.8279e-08, max values: 37.806, median values: 0.15756, and quantile values: 0.25 0.044600\n0.50 0.157560\n0.75 0.731775\nName: 15098, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3864214396328869, std values: 4.814238966059542, min values: 1.239e-08, max values: 39.994, median values: 0.14844, and quantile values: 0.25 0.033155\n0.50 0.148440\n0.75 0.731200\nName: 15099, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4776844324264153, std values: 4.932399770745505, min values: 1.7881e-06, max values: 39.806, median values: 0.2267, and quantile values: 0.25 0.070406\n0.50 0.226700\n0.75 0.858815\nName: 15100, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5165826865226415, std values: 4.98927973027133, min values: 2.2052e-06, max values: 39.966, median values: 0.2204, and quantile values: 0.25 0.068656\n0.50 0.220400\n0.75 0.926115\nName: 15101, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3430954236874213, std values: 5.051977216952043, min values: 3.0518e-06, max values: 41.447, median values: 0.15254, and quantile values: 0.25 0.048696\n0.50 0.152540\n0.75 0.704015\nName: 15102, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2583939631981131, std values: 4.606072768794867, min values: 1.1524e-06, max values: 38.682, median values: 0.15825, and quantile values: 0.25 0.053943\n0.50 0.158250\n0.75 0.617160\nName: 15103, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4474351359433333, std values: 4.822152398722615, min values: 3.5829e-07, max values: 39.19, median values: 0.22396, and quantile values: 0.25 0.059029\n0.50 0.223960\n0.75 0.835355\nName: 15104, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.449929674346541, std values: 4.90112179925032, min values: 1.1792e-06, max values: 39.29, median values: 0.19245, and quantile values: 0.25 0.059929\n0.50 0.192450\n0.75 0.841690\nName: 15105, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.206836859191195, std values: 4.57571223806325, min values: 1.6943e-06, max values: 38.476, median values: 0.1376, and quantile values: 0.25 0.051254\n0.50 0.137600\n0.75 0.537275\nName: 15106, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.447829759762893, std values: 4.741755752259126, min values: 1.411e-06, max values: 38.485, median values: 0.22858, and quantile values: 0.25 0.070669\n0.50 0.228580\n0.75 0.914360\nName: 15107, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4416095920446539, std values: 4.898711238150569, min values: 1.578e-06, max values: 39.913, median values: 0.22217, and quantile values: 0.25 0.064205\n0.50 0.222170\n0.75 0.795320\nName: 15108, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2786255357326415, std values: 4.846569338382409, min values: 2.085e-07, max values: 41.741, median values: 0.16179, and quantile values: 0.25 0.045678\n0.50 0.161790\n0.75 0.639740\nName: 15109, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2973460027698114, std values: 4.6386223423229715, min values: 1.7278e-06, max values: 38.737, median values: 0.18112, and quantile values: 0.25 0.055738\n0.50 0.181120\n0.75 0.729890\nName: 15110, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8658112028830187, std values: 5.057720997676547, min values: 1.9665e-06, max values: 38.435, median values: 0.36145, and quantile values: 0.25 0.095442\n0.50 0.361450\n0.75 1.394750\nName: 15111, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5089177853723272, std values: 4.742331661342249, min values: 2.6475e-06, max values: 39.269, median values: 0.23639, and quantile values: 0.25 0.058397\n0.50 0.236390\n0.75 0.952270\nName: 15112, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6426146135471698, std values: 5.135818661817762, min values: 2.4666e-06, max values: 41.063, median values: 0.31608, and quantile values: 0.25 0.076138\n0.50 0.316080\n0.75 1.153900\nName: 15113, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3986827838473586, std values: 4.866650421046706, min values: 5.6673e-07, max values: 40.663, median values: 0.19324, and quantile values: 0.25 0.053458\n0.50 0.193240\n0.75 0.808745\nName: 15114, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3757265616754717, std values: 4.845846387806666, min values: 3.4108e-06, max values: 40.23, median values: 0.20328, and quantile values: 0.25 0.062303\n0.50 0.203280\n0.75 0.708400\nName: 15115, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5601106621654088, std values: 4.996221338404012, min values: 3.6069e-06, max values: 40.521, median values: 0.2407, and quantile values: 0.25 0.071799\n0.50 0.240700\n0.75 0.909805\nName: 15116, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.661747355279245, std values: 5.050178147746568, min values: 2.8108e-06, max values: 39.509, median values: 0.28886, and quantile values: 0.25 0.087663\n0.50 0.288860\n0.75 1.114900\nName: 15117, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.354121694141132, std values: 4.665496040686533, min values: 9.2714e-07, max values: 37.879, median values: 0.1857, and quantile values: 0.25 0.053130\n0.50 0.185700\n0.75 0.768265\nName: 15118, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6014859897729563, std values: 4.992703284694931, min values: 1.6006e-06, max values: 39.329, median values: 0.26456, and quantile values: 0.25 0.073264\n0.50 0.264560\n0.75 1.006020\nName: 15119, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.382509150236478, std values: 5.037438949648043, min values: 1.4176e-06, max values: 42.405, median values: 0.175, and quantile values: 0.25 0.052153\n0.50 0.175000\n0.75 0.789610\nName: 15120, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3719470181352202, std values: 4.623641825926564, min values: 1.1422e-06, max values: 38.293, median values: 0.19153, and quantile values: 0.25 0.064348\n0.50 0.191530\n0.75 0.798085\nName: 15121, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.624486066771069, std values: 5.217469913065179, min values: 2.3471e-06, max values: 43.958, median values: 0.25305, and quantile values: 0.25 0.076225\n0.50 0.253050\n0.75 1.034450\nName: 15122, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3704376647598742, std values: 4.51569593286661, min values: 9.7352e-07, max values: 37.349, median values: 0.19113, and quantile values: 0.25 0.060940\n0.50 0.191130\n0.75 0.871145\nName: 15123, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4524614158354088, std values: 4.929943148517939, min values: 7.2463e-07, max values: 40.558, median values: 0.22052, and quantile values: 0.25 0.061642\n0.50 0.220520\n0.75 0.884365\nName: 15124, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4966669788742137, std values: 5.12112010750999, min values: 4.8729e-06, max values: 40.775, median values: 0.22954, and quantile values: 0.25 0.066659\n0.50 0.229540\n0.75 0.789015\nName: 15125, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3930125658786163, std values: 5.000182337766215, min values: 1.5369e-06, max values: 41.244, median values: 0.20948, and quantile values: 0.25 0.060687\n0.50 0.209480\n0.75 0.768050\nName: 15126, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5079001846559748, std values: 4.846713520093225, min values: 1.0504e-06, max values: 38.269, median values: 0.23507, and quantile values: 0.25 0.068275\n0.50 0.235070\n0.75 0.890230\nName: 15127, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5799781378867925, std values: 5.130559409943015, min values: 2.2693e-06, max values: 42.759, median values: 0.24289, and quantile values: 0.25 0.074766\n0.50 0.242890\n0.75 1.034750\nName: 15128, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6787729723937106, std values: 4.944554737957419, min values: 4.2705e-06, max values: 39.426, median values: 0.27211, and quantile values: 0.25 0.085955\n0.50 0.272110\n0.75 1.062500\nName: 15129, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.429881642901258, std values: 5.098100767810477, min values: 5.388e-06, max values: 41.341, median values: 0.20474, and quantile values: 0.25 0.051607\n0.50 0.204740\n0.75 0.757985\nName: 15130, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8099553409220126, std values: 5.05564203414166, min values: 2.9694e-06, max values: 39.121, median values: 0.32009, and quantile values: 0.25 0.089625\n0.50 0.320090\n0.75 1.282350\nName: 15131, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5917302403483018, std values: 5.164390449958466, min values: 9.1548e-07, max values: 44.238, median values: 0.27087, and quantile values: 0.25 0.07066\n0.50 0.27087\n0.75 1.03420\nName: 15132, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5076846734817613, std values: 4.871464884026229, min values: 1.8112e-06, max values: 39.167, median values: 0.23837, and quantile values: 0.25 0.07048\n0.50 0.23837\n0.75 0.93596\nName: 15133, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.619973329572327, std values: 5.023096433890929, min values: 1.5135e-06, max values: 39.989, median values: 0.27555, and quantile values: 0.25 0.074299\n0.50 0.275550\n0.75 1.093650\nName: 15134, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.744160210672956, std values: 5.319976237784374, min values: 5.3084e-06, max values: 41.387, median values: 0.29929, and quantile values: 0.25 0.092999\n0.50 0.299290\n0.75 0.987335\nName: 15135, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.439531373262264, std values: 4.825146773995781, min values: 1.4008e-06, max values: 39.563, median values: 0.20761, and quantile values: 0.25 0.062086\n0.50 0.207610\n0.75 0.884765\nName: 15136, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.312204039745912, std values: 4.772246205650501, min values: 1.1295e-06, max values: 38.561, median values: 0.17593, and quantile values: 0.25 0.054666\n0.50 0.175930\n0.75 0.737545\nName: 15137, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.445618387018868, std values: 5.0662399218780445, min values: 3.1318e-06, max values: 40.981, median values: 0.21696, and quantile values: 0.25 0.056476\n0.50 0.216960\n0.75 0.809775\nName: 15138, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.493666838746541, std values: 4.839219950199423, min values: 1.3851e-06, max values: 38.301, median values: 0.23137, and quantile values: 0.25 0.06899\n0.50 0.23137\n0.75 0.93142\nName: 15139, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4620431684792266, std values: 4.854472175218896, min values: 2.9627e-08, max values: 40.558, median values: 0.19016, and quantile values: 0.25 0.039055\n0.50 0.190160\n0.75 0.876425\nName: 15140, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5608564591893082, std values: 4.946648343082318, min values: 3.5101e-06, max values: 39.742, median values: 0.25568, and quantile values: 0.25 0.076412\n0.50 0.255680\n0.75 0.926440\nName: 15141, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.296150330131698, std values: 4.785230768344121, min values: 9.3614e-07, max values: 39.116, median values: 0.15755, and quantile values: 0.25 0.053891\n0.50 0.157550\n0.75 0.709245\nName: 15142, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5314765708666669, std values: 5.025680143892017, min values: 6.057e-07, max values: 42.231, median values: 0.23087, and quantile values: 0.25 0.064973\n0.50 0.230870\n0.75 0.947090\nName: 15143, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4955789869170126, std values: 4.835206741843512, min values: 2.4805e-08, max values: 38.261, median values: 0.21408, and quantile values: 0.25 0.055635\n0.50 0.214080\n0.75 0.964355\nName: 15144, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4196545853457863, std values: 4.642797437396653, min values: 1.4948e-07, max values: 37.134, median values: 0.2, and quantile values: 0.25 0.056202\n0.50 0.200000\n0.75 0.863890\nName: 15145, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4610037993113207, std values: 4.986291954215548, min values: 6.613e-07, max values: 41.789, median values: 0.23876, and quantile values: 0.25 0.067476\n0.50 0.238760\n0.75 0.919080\nName: 15146, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5526037397641512, std values: 5.224419148263388, min values: 6.5845e-06, max values: 41.644, median values: 0.25097, and quantile values: 0.25 0.069769\n0.50 0.250970\n0.75 0.829240\nName: 15147, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6331266964503144, std values: 5.119411558823344, min values: 2.0316e-06, max values: 41.746, median values: 0.26722, and quantile values: 0.25 0.074775\n0.50 0.267220\n0.75 1.070650\nName: 15148, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5115315617421383, std values: 4.74813145416771, min values: 3.7411e-06, max values: 39.843, median values: 0.26769, and quantile values: 0.25 0.082054\n0.50 0.267690\n0.75 0.917555\nName: 15149, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5781674246515724, std values: 4.768012059636088, min values: 1.2771e-06, max values: 37.569, median values: 0.27179, and quantile values: 0.25 0.076693\n0.50 0.271790\n0.75 1.074910\nName: 15150, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3817464983899368, std values: 4.9029444831629165, min values: 1.8512e-06, max values: 40.671, median values: 0.19841, and quantile values: 0.25 0.055983\n0.50 0.198410\n0.75 0.770055\nName: 15151, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3258001476750316, std values: 4.593724873219923, min values: 3.2341e-07, max values: 36.106, median values: 0.16216, and quantile values: 0.25 0.046138\n0.50 0.162160\n0.75 0.734455\nName: 15152, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3284627567361638, std values: 4.791140266468325, min values: 8.9235e-07, max values: 38.853, median values: 0.17473, and quantile values: 0.25 0.051945\n0.50 0.174730\n0.75 0.712840\nName: 15153, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.602060614307547, std values: 5.2613848969854375, min values: 1.0424e-06, max values: 45.505, median values: 0.24382, and quantile values: 0.25 0.06219\n0.50 0.24382\n0.75 1.05340\nName: 15154, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3134376755157233, std values: 4.88900581608022, min values: 2.1893e-06, max values: 39.873, median values: 0.15733, and quantile values: 0.25 0.053368\n0.50 0.157330\n0.75 0.631655\nName: 15155, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5119180090009434, std values: 4.879770332681158, min values: 6.3505e-07, max values: 39.291, median values: 0.22519, and quantile values: 0.25 0.071315\n0.50 0.225190\n0.75 0.948245\nName: 15156, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.705766724257233, std values: 5.082642331041837, min values: 3.5301e-06, max values: 39.309, median values: 0.28819, and quantile values: 0.25 0.090247\n0.50 0.288190\n0.75 1.060250\nName: 15157, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5432038167664779, std values: 4.84618104768507, min values: 2.6477e-07, max values: 38.352, median values: 0.20505, and quantile values: 0.25 0.061141\n0.50 0.205050\n0.75 0.968875\nName: 15158, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5226761521805032, std values: 4.952273818667393, min values: 3.1971e-06, max values: 39.366, median values: 0.23968, and quantile values: 0.25 0.073497\n0.50 0.239680\n0.75 0.883265\nName: 15159, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.376091644776981, std values: 4.804390688900051, min values: 8.9204e-07, max values: 39.066, median values: 0.19091, and quantile values: 0.25 0.054748\n0.50 0.190910\n0.75 0.789985\nName: 15160, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5382687217962265, std values: 4.84119568399984, min values: 2.1578e-06, max values: 39.51, median values: 0.24437, and quantile values: 0.25 0.07603\n0.50 0.24437\n0.75 0.97319\nName: 15161, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3419869890052831, std values: 4.963572304866028, min values: 7.7744e-07, max values: 42.442, median values: 0.17594, and quantile values: 0.25 0.051543\n0.50 0.175940\n0.75 0.707700\nName: 15162, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3372615516320125, std values: 4.655309850593574, min values: 2.4619e-07, max values: 37.581, median values: 0.1932, and quantile values: 0.25 0.062669\n0.50 0.193200\n0.75 0.762745\nName: 15163, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4859057545572327, std values: 5.156539810389668, min values: 2.1769e-06, max values: 43.269, median values: 0.23171, and quantile values: 0.25 0.06844\n0.50 0.23171\n0.75 0.86832\nName: 15164, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5683874248981133, std values: 5.034617273502148, min values: 1.1653e-06, max values: 40.978, median values: 0.24315, and quantile values: 0.25 0.074885\n0.50 0.243150\n0.75 1.027600\nName: 15165, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6600679206427673, std values: 4.959136906005563, min values: 2.3824e-06, max values: 39.362, median values: 0.31615, and quantile values: 0.25 0.075679\n0.50 0.316150\n0.75 1.172950\nName: 15166, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6480657801528302, std values: 4.996148389594892, min values: 3.8674e-06, max values: 40.128, median values: 0.29695, and quantile values: 0.25 0.078505\n0.50 0.296950\n0.75 1.026505\nName: 15167, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.337008819825912, std values: 4.536175556887513, min values: 5.3272e-07, max values: 36.945, median values: 0.19506, and quantile values: 0.25 0.062126\n0.50 0.195060\n0.75 0.800455\nName: 15168, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4177573483316164, std values: 4.848706490035106, min values: 1.2706e-08, max values: 40.844, median values: 0.1431, and quantile values: 0.25 0.032418\n0.50 0.143100\n0.75 0.830545\nName: 15169, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7154900099333963, std values: 5.326948769869933, min values: 2.1551e-07, max values: 46.566, median values: 0.20848, and quantile values: 0.25 0.067036\n0.50 0.208480\n0.75 1.061400\nName: 15170, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.444931087378616, std values: 5.177525159771927, min values: 2.4859e-06, max values: 44.322, median values: 0.22895, and quantile values: 0.25 0.058049\n0.50 0.228950\n0.75 0.878580\nName: 15171, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4853350977691195, std values: 4.962121638863916, min values: 8.7409e-07, max values: 41.091, median values: 0.20033, and quantile values: 0.25 0.059530\n0.50 0.200330\n0.75 0.851535\nName: 15172, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4968687671666667, std values: 5.055241727790073, min values: 2.0072e-06, max values: 41.437, median values: 0.24829, and quantile values: 0.25 0.065389\n0.50 0.248290\n0.75 0.884845\nName: 15173, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4499660625949686, std values: 5.023241813137894, min values: 1.0821e-06, max values: 42.453, median values: 0.21453, and quantile values: 0.25 0.058727\n0.50 0.214530\n0.75 0.843785\nName: 15174, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5335775932880504, std values: 4.854014567829072, min values: 1.7923e-06, max values: 38.867, median values: 0.25872, and quantile values: 0.25 0.061993\n0.50 0.258720\n0.75 0.991365\nName: 15175, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5662963360139435, std values: 4.971951995655915, min values: 2.2678e-08, max values: 41.964, median values: 0.20364, and quantile values: 0.25 0.042198\n0.50 0.203640\n0.75 0.960790\nName: 15176, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.562759122627673, std values: 4.9563091280988605, min values: 4.7228e-06, max values: 41.154, median values: 0.23949, and quantile values: 0.25 0.075325\n0.50 0.239490\n0.75 0.836865\nName: 15177, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.408172549029371, std values: 4.809263910163592, min values: 8.1487e-07, max values: 38.413, median values: 0.19057, and quantile values: 0.25 0.059367\n0.50 0.190570\n0.75 0.820270\nName: 15178, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4934252225025157, std values: 4.832802214540853, min values: 1.6373e-06, max values: 40.104, median values: 0.23021, and quantile values: 0.25 0.06241\n0.50 0.23021\n0.75 0.94199\nName: 15179, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5195397738612328, std values: 4.756000275068891, min values: 2.1146e-08, max values: 37.289, median values: 0.22114, and quantile values: 0.25 0.051696\n0.50 0.221140\n0.75 0.905320\nName: 15180, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6733893376597484, std values: 5.102585121746391, min values: 6.3743e-06, max values: 40.418, median values: 0.2883, and quantile values: 0.25 0.083096\n0.50 0.288300\n0.75 1.035275\nName: 15181, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5148788688698112, std values: 4.945180640610292, min values: 1.9863e-06, max values: 39.717, median values: 0.24677, and quantile values: 0.25 0.064776\n0.50 0.246770\n0.75 0.964295\nName: 15182, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5228452367421383, std values: 4.822412376742869, min values: 2.3155e-06, max values: 38.786, median values: 0.25544, and quantile values: 0.25 0.073324\n0.50 0.255440\n0.75 0.990270\nName: 15183, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.483724006062264, std values: 5.101339347639713, min values: 2.2618e-06, max values: 41.806, median values: 0.22282, and quantile values: 0.25 0.057165\n0.50 0.222820\n0.75 0.854050\nName: 15184, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3144267293962264, std values: 4.937266728614488, min values: 2.0093e-06, max values: 39.976, median values: 0.16087, and quantile values: 0.25 0.051221\n0.50 0.160870\n0.75 0.650530\nName: 15185, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.589595011709434, std values: 5.10982394001677, min values: 1.8674e-06, max values: 41.942, median values: 0.23646, and quantile values: 0.25 0.062266\n0.50 0.236460\n0.75 1.005970\nName: 15186, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4836500816055975, std values: 4.990075076652603, min values: 7.1429e-07, max values: 40.829, median values: 0.23471, and quantile values: 0.25 0.059609\n0.50 0.234710\n0.75 0.856705\nName: 15187, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3510028017415094, std values: 4.769250256170123, min values: 1.7666e-06, max values: 38.826, median values: 0.19406, and quantile values: 0.25 0.061900\n0.50 0.194060\n0.75 0.780765\nName: 15188, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4050500549859748, std values: 4.865654647556556, min values: 9.0257e-07, max values: 40.074, median values: 0.21426, and quantile values: 0.25 0.065117\n0.50 0.214260\n0.75 0.813370\nName: 15189, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2843342549848427, std values: 4.6336914163050285, min values: 1.2709e-07, max values: 37.13, median values: 0.18772, and quantile values: 0.25 0.049278\n0.50 0.187720\n0.75 0.711455\nName: 15190, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3667514881597485, std values: 5.063788269559659, min values: 3.6748e-06, max values: 41.035, median values: 0.19065, and quantile values: 0.25 0.065084\n0.50 0.190650\n0.75 0.632830\nName: 15191, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.674855547383648, std values: 4.90290336641437, min values: 3.0052e-06, max values: 38.962, median values: 0.30715, and quantile values: 0.25 0.080937\n0.50 0.307150\n0.75 1.154650\nName: 15192, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5322676726614468, std values: 4.978359608819199, min values: 8.8827e-07, max values: 40.429, median values: 0.22237, and quantile values: 0.25 0.061196\n0.50 0.222370\n0.75 0.949855\nName: 15193, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5656694684907233, std values: 4.770408579318446, min values: 4.5375e-08, max values: 36.931, median values: 0.23154, and quantile values: 0.25 0.059786\n0.50 0.231540\n0.75 1.075300\nName: 15194, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.448654959014151, std values: 4.822000480471548, min values: 6.5775e-07, max values: 38.441, median values: 0.2404, and quantile values: 0.25 0.061006\n0.50 0.240400\n0.75 0.905135\nName: 15195, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4173345351408806, std values: 4.860603333050959, min values: 1.8571e-06, max values: 39.34, median values: 0.21999, and quantile values: 0.25 0.066932\n0.50 0.219990\n0.75 0.831025\nName: 15196, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4990233975479244, std values: 4.968719154782859, min values: 4.0212e-07, max values: 41.476, median values: 0.23187, and quantile values: 0.25 0.060049\n0.50 0.231870\n0.75 0.897080\nName: 15197, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.412514348403522, std values: 4.648194853762391, min values: 1.7406e-07, max values: 37.553, median values: 0.19434, and quantile values: 0.25 0.056819\n0.50 0.194340\n0.75 0.884550\nName: 15198, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6577400625503145, std values: 5.147731004053775, min values: 1.0414e-06, max values: 42.383, median values: 0.24434, and quantile values: 0.25 0.071462\n0.50 0.244340\n0.75 1.048200\nName: 15199, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.383244320315956, std values: 4.801977060328838, min values: 3.8437e-08, max values: 39.406, median values: 0.17407, and quantile values: 0.25 0.050025\n0.50 0.174070\n0.75 0.830705\nName: 15200, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.399315291151572, std values: 4.9349717609478585, min values: 1.2643e-06, max values: 41.345, median values: 0.18664, and quantile values: 0.25 0.059998\n0.50 0.186640\n0.75 0.760690\nName: 15201, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4497441552201258, std values: 4.981482021307563, min values: 3.6128e-06, max values: 40.324, median values: 0.22682, and quantile values: 0.25 0.063757\n0.50 0.226820\n0.75 0.796845\nName: 15202, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3511347200108805, std values: 4.89493796964303, min values: 4.4493e-07, max values: 41.029, median values: 0.18734, and quantile values: 0.25 0.057277\n0.50 0.187340\n0.75 0.735140\nName: 15203, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6241291881248427, std values: 5.129811609888032, min values: 6.9795e-07, max values: 42.745, median values: 0.27578, and quantile values: 0.25 0.066709\n0.50 0.275780\n0.75 1.067500\nName: 15204, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3349819570534591, std values: 4.669486931688509, min values: 1.2424e-06, max values: 37.963, median values: 0.16446, and quantile values: 0.25 0.051817\n0.50 0.164460\n0.75 0.730050\nName: 15205, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4601231915220125, std values: 4.698761725422711, min values: 4.59e-07, max values: 37.579, median values: 0.21128, and quantile values: 0.25 0.052654\n0.50 0.211280\n0.75 0.831245\nName: 15206, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3772767469164782, std values: 4.926491046030245, min values: 6.2412e-07, max values: 40.187, median values: 0.19129, and quantile values: 0.25 0.047566\n0.50 0.191290\n0.75 0.759165\nName: 15207, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.486178986718239, std values: 4.893743040312249, min values: 2.1649e-06, max values: 38.896, median values: 0.25652, and quantile values: 0.25 0.077819\n0.50 0.256520\n0.75 0.858420\nName: 15208, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3481467687802455, std values: 4.793278432519675, min values: 2.1359e-08, max values: 39.263, median values: 0.18597, and quantile values: 0.25 0.050532\n0.50 0.185970\n0.75 0.740580\nName: 15209, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.499367937365409, std values: 5.042440177520626, min values: 3.3929e-06, max values: 40.264, median values: 0.23206, and quantile values: 0.25 0.068755\n0.50 0.232060\n0.75 0.862925\nName: 15210, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3254246997056602, std values: 4.822887851570914, min values: 1.5848e-06, max values: 39.968, median values: 0.20157, and quantile values: 0.25 0.056316\n0.50 0.201570\n0.75 0.780960\nName: 15211, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.689985940518868, std values: 5.3901717191680145, min values: 1.1769e-06, max values: 47.049, median values: 0.26571, and quantile values: 0.25 0.067211\n0.50 0.265710\n0.75 1.117400\nName: 15212, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6753367299238997, std values: 5.28670378516762, min values: 2.9999e-06, max values: 44.072, median values: 0.27193, and quantile values: 0.25 0.072449\n0.50 0.271930\n0.75 1.136100\nName: 15213, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3701502310599374, std values: 4.950146996250845, min values: 3.7843e-07, max values: 41.661, median values: 0.15176, and quantile values: 0.25 0.043223\n0.50 0.151760\n0.75 0.748385\nName: 15214, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5115164808088049, std values: 4.940641020338271, min values: 1.3216e-06, max values: 39.857, median values: 0.24111, and quantile values: 0.25 0.068294\n0.50 0.241110\n0.75 0.918240\nName: 15215, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.793677795463522, std values: 5.047740849295222, min values: 2.7544e-06, max values: 38.86, median values: 0.34036, and quantile values: 0.25 0.094744\n0.50 0.340360\n0.75 1.273650\nName: 15216, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.52679053521761, std values: 4.855215169053993, min values: 2.7093e-06, max values: 39.732, median values: 0.22917, and quantile values: 0.25 0.069329\n0.50 0.229170\n0.75 0.998790\nName: 15217, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2433294711503142, std values: 4.5408145069313735, min values: 1.0625e-06, max values: 37.894, median values: 0.17877, and quantile values: 0.25 0.051918\n0.50 0.178770\n0.75 0.696510\nName: 15218, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.492263506068302, std values: 4.991592391009261, min values: 3.9166e-07, max values: 41.71, median values: 0.20928, and quantile values: 0.25 0.049197\n0.50 0.209280\n0.75 0.796470\nName: 15219, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3557349136248427, std values: 4.8076989563818, min values: 7.3345e-07, max values: 38.787, median values: 0.18003, and quantile values: 0.25 0.053223\n0.50 0.180030\n0.75 0.815875\nName: 15220, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4506225218132074, std values: 4.886817010571205, min values: 2.1786e-06, max values: 40.198, median values: 0.21112, and quantile values: 0.25 0.055711\n0.50 0.211120\n0.75 0.880375\nName: 15221, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5098696885667862, std values: 5.082566571493556, min values: 3.4499e-08, max values: 44.12, median values: 0.18742, and quantile values: 0.25 0.049738\n0.50 0.187420\n0.75 0.936905\nName: 15222, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.562641220344654, std values: 5.076364061975219, min values: 2.347e-06, max values: 40.567, median values: 0.24354, and quantile values: 0.25 0.075503\n0.50 0.243540\n0.75 0.931605\nName: 15223, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7067138593270441, std values: 5.295778122555233, min values: 2.9382e-06, max values: 43.85, median values: 0.28468, and quantile values: 0.25 0.075661\n0.50 0.284680\n0.75 1.191400\nName: 15224, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3811740316649685, std values: 4.669543068554133, min values: 5.8893e-07, max values: 37.286, median values: 0.17056, and quantile values: 0.25 0.052413\n0.50 0.170560\n0.75 0.789950\nName: 15225, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3836490498433962, std values: 4.815988358599519, min values: 1.2716e-06, max values: 38.546, median values: 0.20841, and quantile values: 0.25 0.065099\n0.50 0.208410\n0.75 0.804365\nName: 15226, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4646932631622642, std values: 4.949093292110577, min values: 1.1302e-06, max values: 39.816, median values: 0.21071, and quantile values: 0.25 0.058853\n0.50 0.210710\n0.75 0.890625\nName: 15227, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3201619979807548, std values: 4.717722705752476, min values: 2.6314e-07, max values: 37.928, median values: 0.16725, and quantile values: 0.25 0.048390\n0.50 0.167250\n0.75 0.716365\nName: 15228, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7136767653347673, std values: 5.1376175709956655, min values: 2.7388e-08, max values: 43.155, median values: 0.25742, and quantile values: 0.25 0.061136\n0.50 0.257420\n0.75 1.151800\nName: 15229, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.315418062204717, std values: 4.896224417813743, min values: 9.0635e-07, max values: 40.524, median values: 0.17528, and quantile values: 0.25 0.052274\n0.50 0.175280\n0.75 0.703540\nName: 15230, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4549012009710691, std values: 4.822772247243776, min values: 1.2083e-06, max values: 38.155, median values: 0.18607, and quantile values: 0.25 0.053618\n0.50 0.186070\n0.75 0.839645\nName: 15231, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3572309452344653, std values: 4.836080931884392, min values: 3.4758e-07, max values: 39.056, median values: 0.16301, and quantile values: 0.25 0.054399\n0.50 0.163010\n0.75 0.790330\nName: 15232, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3266172043924531, std values: 4.512278533339354, min values: 2.185e-06, max values: 38.766, median values: 0.19372, and quantile values: 0.25 0.060318\n0.50 0.193720\n0.75 0.764395\nName: 15233, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6269951279716983, std values: 4.857680636831094, min values: 1.2301e-06, max values: 38.334, median values: 0.26457, and quantile values: 0.25 0.078251\n0.50 0.264570\n0.75 1.127750\nName: 15234, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5504696275075471, std values: 5.070656181703025, min values: 1.3783e-06, max values: 42.082, median values: 0.23494, and quantile values: 0.25 0.070602\n0.50 0.234940\n0.75 0.991230\nName: 15235, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.550183881802516, std values: 5.241998153662629, min values: 2.1557e-06, max values: 44.948, median values: 0.22381, and quantile values: 0.25 0.067759\n0.50 0.223810\n0.75 0.916385\nName: 15236, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4489857955132075, std values: 4.956013230761996, min values: 1.6972e-06, max values: 39.993, median values: 0.22759, and quantile values: 0.25 0.066266\n0.50 0.227590\n0.75 0.886040\nName: 15237, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4158270226555978, std values: 4.876371498260387, min values: 8.6354e-07, max values: 40.261, median values: 0.21344, and quantile values: 0.25 0.061623\n0.50 0.213440\n0.75 0.762960\nName: 15238, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.600302261725912, std values: 5.0374663328356855, min values: 6.9402e-07, max values: 41.07, median values: 0.22748, and quantile values: 0.25 0.069848\n0.50 0.227480\n0.75 1.041700\nName: 15239, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4249102471518238, std values: 4.923160557105773, min values: 7.5464e-07, max values: 41.135, median values: 0.2207, and quantile values: 0.25 0.055713\n0.50 0.220700\n0.75 0.887300\nName: 15240, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5304694898899371, std values: 5.04218405452059, min values: 7.328e-07, max values: 42.038, median values: 0.22208, and quantile values: 0.25 0.059383\n0.50 0.222080\n0.75 1.000515\nName: 15241, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5078622550496856, std values: 4.982525778361362, min values: 3.0768e-06, max values: 39.739, median values: 0.24508, and quantile values: 0.25 0.06493\n0.50 0.24508\n0.75 0.91896\nName: 15242, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4012746446735849, std values: 4.9887596979997015, min values: 3.3893e-06, max values: 40.246, median values: 0.19496, and quantile values: 0.25 0.061206\n0.50 0.194960\n0.75 0.732190\nName: 15243, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8671687253786162, std values: 5.423485426455526, min values: 2.2211e-06, max values: 45.111, median values: 0.35035, and quantile values: 0.25 0.099776\n0.50 0.350350\n0.75 1.330250\nName: 15244, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4720772888364781, std values: 4.714801204776605, min values: 2.2766e-06, max values: 39.384, median values: 0.25882, and quantile values: 0.25 0.067334\n0.50 0.258820\n0.75 0.965515\nName: 15245, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6379485293119498, std values: 5.029414629719069, min values: 3.0524e-06, max values: 39.831, median values: 0.23962, and quantile values: 0.25 0.079092\n0.50 0.239620\n0.75 1.057450\nName: 15246, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5300633192460378, std values: 4.981246057274802, min values: 3.5762e-07, max values: 41.371, median values: 0.21495, and quantile values: 0.25 0.056312\n0.50 0.214950\n0.75 0.933825\nName: 15247, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.391679335879874, std values: 4.843211697571744, min values: 1.5164e-06, max values: 39.004, median values: 0.20683, and quantile values: 0.25 0.059271\n0.50 0.206830\n0.75 0.816190\nName: 15248, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4317630903685534, std values: 4.8604858639375115, min values: 1.1851e-06, max values: 38.865, median values: 0.23321, and quantile values: 0.25 0.063760\n0.50 0.233210\n0.75 0.900775\nName: 15249, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3129496544604402, std values: 4.498264219821213, min values: 1.3603e-07, max values: 36.761, median values: 0.17239, and quantile values: 0.25 0.046614\n0.50 0.172390\n0.75 0.748370\nName: 15250, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6163667467076728, std values: 5.024991317686645, min values: 6.3352e-07, max values: 41.174, median values: 0.25878, and quantile values: 0.25 0.064822\n0.50 0.258780\n0.75 1.029250\nName: 15251, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.616979765697484, std values: 5.359837819956122, min values: 1.1213e-06, max values: 47.556, median values: 0.25374, and quantile values: 0.25 0.073117\n0.50 0.253740\n0.75 0.935470\nName: 15252, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.486495474391195, std values: 4.830345839123702, min values: 1.563e-06, max values: 39.362, median values: 0.22319, and quantile values: 0.25 0.063469\n0.50 0.223190\n0.75 0.911520\nName: 15253, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4266742548333335, std values: 4.928707818558386, min values: 7.045e-07, max values: 40.114, median values: 0.18857, and quantile values: 0.25 0.064622\n0.50 0.188570\n0.75 0.829200\nName: 15254, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4929699001084906, std values: 4.895255344593024, min values: 4.0245e-07, max values: 39.884, median values: 0.24154, and quantile values: 0.25 0.06216\n0.50 0.24154\n0.75 0.91394\nName: 15255, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4326169063296226, std values: 4.862438921428941, min values: 1.7307e-07, max values: 40.51, median values: 0.24329, and quantile values: 0.25 0.050417\n0.50 0.243290\n0.75 0.878550\nName: 15256, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3625216342468554, std values: 5.049957108517084, min values: 2.329e-07, max values: 44.384, median values: 0.1696, and quantile values: 0.25 0.048326\n0.50 0.169600\n0.75 0.715345\nName: 15257, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.455387726855346, std values: 4.838256774648659, min values: 1.2491e-06, max values: 38.699, median values: 0.2517, and quantile values: 0.25 0.064524\n0.50 0.251700\n0.75 0.871255\nName: 15258, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4927485569138366, std values: 5.121674814095784, min values: 1.7098e-06, max values: 43.212, median values: 0.21302, and quantile values: 0.25 0.070463\n0.50 0.213020\n0.75 0.862355\nName: 15259, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5858058326641506, std values: 4.956678780901544, min values: 3.0969e-06, max values: 40.287, median values: 0.2726, and quantile values: 0.25 0.07024\n0.50 0.27260\n0.75 1.03929\nName: 15260, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.41003963702522, std values: 4.70158988949407, min values: 4.7401e-07, max values: 37.328, median values: 0.23511, and quantile values: 0.25 0.059379\n0.50 0.235110\n0.75 0.883760\nName: 15261, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3628423094968554, std values: 4.840778117546724, min values: 1.5072e-06, max values: 38.9, median values: 0.16237, and quantile values: 0.25 0.052491\n0.50 0.162370\n0.75 0.766235\nName: 15262, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4595910698698114, std values: 5.047941342120007, min values: 1.5672e-06, max values: 42.084, median values: 0.20122, and quantile values: 0.25 0.061088\n0.50 0.201220\n0.75 0.897975\nName: 15263, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6133145708955974, std values: 5.175009442493838, min values: 6.0293e-06, max values: 41.35, median values: 0.27705, and quantile values: 0.25 0.071791\n0.50 0.277050\n0.75 0.929745\nName: 15264, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8092535390691826, std values: 5.297264328517053, min values: 1.8363e-06, max values: 43.518, median values: 0.32252, and quantile values: 0.25 0.089328\n0.50 0.322520\n0.75 1.278900\nName: 15265, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4045031851088052, std values: 4.876642479539827, min values: 2.0074e-06, max values: 39.886, median values: 0.18277, and quantile values: 0.25 0.06122\n0.50 0.18277\n0.75 0.82704\nName: 15266, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2742284972867295, std values: 4.721958776115071, min values: 4.1429e-07, max values: 38.447, median values: 0.15617, and quantile values: 0.25 0.048425\n0.50 0.156170\n0.75 0.655395\nName: 15267, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.422370804375723, std values: 4.935369582614373, min values: 2.0399e-07, max values: 41.923, median values: 0.20903, and quantile values: 0.25 0.045925\n0.50 0.209030\n0.75 0.750995\nName: 15268, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.556558721435849, std values: 4.995286963277406, min values: 4.2207e-06, max values: 39.956, median values: 0.24015, and quantile values: 0.25 0.075135\n0.50 0.240150\n0.75 0.959485\nName: 15269, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6026986335402518, std values: 4.937401427322199, min values: 1.4528e-06, max values: 38.893, median values: 0.27043, and quantile values: 0.25 0.07250\n0.50 0.27043\n0.75 1.09530\nName: 15270, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5885864167779873, std values: 5.257602207327571, min values: 5.1868e-06, max values: 42.68, median values: 0.24344, and quantile values: 0.25 0.078265\n0.50 0.243440\n0.75 0.904595\nName: 15271, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3277424513729559, std values: 4.760928206803476, min values: 1.144e-06, max values: 39.056, median values: 0.19507, and quantile values: 0.25 0.052379\n0.50 0.195070\n0.75 0.746120\nName: 15272, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2681874355674843, std values: 4.6444305358958164, min values: 7.1353e-07, max values: 38.439, median values: 0.16998, and quantile values: 0.25 0.049927\n0.50 0.169980\n0.75 0.704470\nName: 15273, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6007398250838996, std values: 5.115403984267141, min values: 5.0504e-07, max values: 42.521, median values: 0.23616, and quantile values: 0.25 0.065778\n0.50 0.236160\n0.75 0.982930\nName: 15274, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4661908254672955, std values: 5.083565229820415, min values: 3.1154e-06, max values: 41.291, median values: 0.21223, and quantile values: 0.25 0.061553\n0.50 0.212230\n0.75 0.849740\nName: 15275, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4858152774918238, std values: 4.805336141334829, min values: 2.5396e-06, max values: 38.595, median values: 0.25837, and quantile values: 0.25 0.074165\n0.50 0.258370\n0.75 0.972885\nName: 15276, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6773580048484278, std values: 5.006820092541658, min values: 2.4743e-06, max values: 39.174, median values: 0.28167, and quantile values: 0.25 0.080209\n0.50 0.281670\n0.75 1.148750\nName: 15277, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6422310950371068, std values: 5.040402491934502, min values: 3.7247e-06, max values: 40.372, median values: 0.27712, and quantile values: 0.25 0.078477\n0.50 0.277120\n0.75 1.068300\nName: 15278, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.479379937454717, std values: 5.0946018711843895, min values: 4.4493e-06, max values: 40.948, median values: 0.2263, and quantile values: 0.25 0.066827\n0.50 0.226300\n0.75 0.830240\nName: 15279, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.290178192037107, std values: 4.732540684726679, min values: 3.1961e-06, max values: 40.703, median values: 0.19048, and quantile values: 0.25 0.058049\n0.50 0.190480\n0.75 0.648060\nName: 15280, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4311839861598115, std values: 4.677357990687305, min values: 4.4241e-07, max values: 37.021, median values: 0.19582, and quantile values: 0.25 0.059441\n0.50 0.195820\n0.75 0.859320\nName: 15281, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5587710060827042, std values: 4.89427787982276, min values: 3.5275e-07, max values: 39.361, median values: 0.26314, and quantile values: 0.25 0.069256\n0.50 0.263140\n0.75 1.018815\nName: 15282, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.528094925101887, std values: 5.121414766407874, min values: 2.0809e-06, max values: 41.482, median values: 0.21642, and quantile values: 0.25 0.055775\n0.50 0.216420\n0.75 0.916465\nName: 15283, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.42147696993, std values: 4.704495455508751, min values: 6.7687e-07, max values: 38.964, median values: 0.20683, and quantile values: 0.25 0.061207\n0.50 0.206830\n0.75 0.836280\nName: 15284, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5211663932802517, std values: 5.068919167193796, min values: 6.0766e-07, max values: 42.552, median values: 0.26764, and quantile values: 0.25 0.065288\n0.50 0.267640\n0.75 0.972605\nName: 15285, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.311836961168113, std values: 4.724531212142571, min values: 4.5643e-07, max values: 38.897, median values: 0.16201, and quantile values: 0.25 0.053131\n0.50 0.162010\n0.75 0.738850\nName: 15286, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.442770419945912, std values: 5.032845712566921, min values: 2.4382e-06, max values: 40.632, median values: 0.22615, and quantile values: 0.25 0.059944\n0.50 0.226150\n0.75 0.782515\nName: 15287, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6851330369232702, std values: 5.101369892956436, min values: 3.0912e-06, max values: 40.156, median values: 0.26353, and quantile values: 0.25 0.071261\n0.50 0.263530\n0.75 1.104400\nName: 15288, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4754591672861634, std values: 5.032269822870164, min values: 2.9856e-06, max values: 40.417, median values: 0.24878, and quantile values: 0.25 0.060045\n0.50 0.248780\n0.75 0.842555\nName: 15289, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.559152339143648, std values: 4.938066100022029, min values: 1.4294e-07, max values: 40.491, median values: 0.26693, and quantile values: 0.25 0.066001\n0.50 0.266930\n0.75 1.039650\nName: 15290, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5329955186867925, std values: 4.900345264920115, min values: 1.4275e-06, max values: 38.765, median values: 0.22586, and quantile values: 0.25 0.072397\n0.50 0.225860\n0.75 1.025200\nName: 15291, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7468962032333333, std values: 5.01715939042994, min values: 6.3214e-06, max values: 40.645, median values: 0.29309, and quantile values: 0.25 0.090463\n0.50 0.293090\n0.75 1.102500\nName: 15292, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6417561818477986, std values: 4.765370443388648, min values: 7.575e-07, max values: 38.153, median values: 0.30139, and quantile values: 0.25 0.082896\n0.50 0.301390\n0.75 1.202750\nName: 15293, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3421172226974842, std values: 4.677751083753104, min values: 1.3359e-06, max values: 38.671, median values: 0.20319, and quantile values: 0.25 0.058166\n0.50 0.203190\n0.75 0.814975\nName: 15294, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3994606213049685, std values: 4.658061308619731, min values: 3.6869e-07, max values: 38.531, median values: 0.18998, and quantile values: 0.25 0.056934\n0.50 0.189980\n0.75 0.804655\nName: 15295, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9795328786572328, std values: 5.374860595365467, min values: 1.8515e-06, max values: 43.197, median values: 0.39404, and quantile values: 0.25 0.103995\n0.50 0.394040\n0.75 1.342200\nName: 15296, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6616498177930814, std values: 5.066884376667268, min values: 3.6664e-06, max values: 40.5, median values: 0.27697, and quantile values: 0.25 0.086529\n0.50 0.276970\n0.75 1.016900\nName: 15297, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3850473700937107, std values: 4.88963532063235, min values: 1.2272e-06, max values: 39.231, median values: 0.18475, and quantile values: 0.25 0.061503\n0.50 0.184750\n0.75 0.748090\nName: 15298, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4167475325162266, std values: 4.948513325326833, min values: 2.8168e-07, max values: 42.054, median values: 0.2045, and quantile values: 0.25 0.056536\n0.50 0.204500\n0.75 0.819445\nName: 15299, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3483704278842765, std values: 4.731135108373633, min values: 1.9816e-06, max values: 39.518, median values: 0.20082, and quantile values: 0.25 0.05655\n0.50 0.20082\n0.75 0.74006\nName: 15300, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1861694123622641, std values: 4.5284942710419, min values: 1.0114e-06, max values: 37.941, median values: 0.13877, and quantile values: 0.25 0.044661\n0.50 0.138770\n0.75 0.569135\nName: 15301, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6171934742069183, std values: 5.128273274435207, min values: 1.572e-06, max values: 42.739, median values: 0.27259, and quantile values: 0.25 0.069176\n0.50 0.272590\n0.75 1.022800\nName: 15302, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3319318629018868, std values: 4.654411962764112, min values: 2.6163e-06, max values: 38.801, median values: 0.20008, and quantile values: 0.25 0.060469\n0.50 0.200080\n0.75 0.754215\nName: 15303, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.602128840889937, std values: 5.197210505817077, min values: 2.8937e-06, max values: 42.157, median values: 0.25389, and quantile values: 0.25 0.067273\n0.50 0.253890\n0.75 0.941265\nName: 15304, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4878900688232704, std values: 5.016696535215488, min values: 3.568e-06, max values: 41.069, median values: 0.21811, and quantile values: 0.25 0.064789\n0.50 0.218110\n0.75 0.758065\nName: 15305, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6188577726245283, std values: 5.203958171177777, min values: 1.2933e-06, max values: 44.496, median values: 0.27537, and quantile values: 0.25 0.071882\n0.50 0.275370\n0.75 1.004740\nName: 15306, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.521967767734591, std values: 4.9582596497084905, min values: 3.2898e-06, max values: 39.643, median values: 0.22986, and quantile values: 0.25 0.071111\n0.50 0.229860\n0.75 0.908430\nName: 15307, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4785770231386792, std values: 4.8518775200080615, min values: 4.0665e-07, max values: 39.157, median values: 0.23775, and quantile values: 0.25 0.062161\n0.50 0.237750\n0.75 0.930660\nName: 15308, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2773221710581764, std values: 5.0347790144771505, min values: 5.0895e-07, max values: 44.545, median values: 0.16763, and quantile values: 0.25 0.049676\n0.50 0.167630\n0.75 0.644575\nName: 15309, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4686605432466038, std values: 4.9173901560715425, min values: 7.6011e-07, max values: 40.372, median values: 0.2341, and quantile values: 0.25 0.065878\n0.50 0.234100\n0.75 0.879815\nName: 15310, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6655170416955978, std values: 5.218664698366166, min values: 3.9353e-06, max values: 41.126, median values: 0.26665, and quantile values: 0.25 0.082926\n0.50 0.266650\n0.75 1.024335\nName: 15311, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3214386046776103, std values: 5.070020794330316, min values: 3.3483e-07, max values: 45.213, median values: 0.13659, and quantile values: 0.25 0.033048\n0.50 0.136590\n0.75 0.630610\nName: 15312, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5119040541186164, std values: 4.82769845927469, min values: 3.8226e-07, max values: 38.907, median values: 0.23421, and quantile values: 0.25 0.062415\n0.50 0.234210\n0.75 0.893275\nName: 15313, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7977934690987423, std values: 5.25349418165562, min values: 1.6951e-06, max values: 42.922, median values: 0.32083, and quantile values: 0.25 0.087638\n0.50 0.320830\n0.75 1.241800\nName: 15314, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4165316486644088, std values: 4.8522083791256785, min values: 2.4621e-08, max values: 40.31, median values: 0.2201, and quantile values: 0.25 0.047302\n0.50 0.220100\n0.75 0.738355\nName: 15315, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.540469023064151, std values: 4.931302862117388, min values: 4.1731e-06, max values: 39.886, median values: 0.26219, and quantile values: 0.25 0.07109\n0.50 0.26219\n0.75 0.89377\nName: 15316, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.36814827575283, std values: 4.648571343581435, min values: 1.42e-07, max values: 38.385, median values: 0.20521, and quantile values: 0.25 0.049672\n0.50 0.205210\n0.75 0.828855\nName: 15317, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5918780930748428, std values: 4.986986942896038, min values: 3.803e-06, max values: 39.815, median values: 0.27259, and quantile values: 0.25 0.075777\n0.50 0.272590\n0.75 0.944740\nName: 15318, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2093878435930818, std values: 4.490492931828399, min values: 1.916e-06, max values: 39.623, median values: 0.17826, and quantile values: 0.25 0.049674\n0.50 0.178260\n0.75 0.642505\nName: 15319, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4424053945666666, std values: 5.042758420905542, min values: 1.1005e-06, max values: 42.024, median values: 0.19044, and quantile values: 0.25 0.051596\n0.50 0.190440\n0.75 0.836920\nName: 15320, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5980201873479873, std values: 5.074800341502314, min values: 5.2203e-07, max values: 42.777, median values: 0.24477, and quantile values: 0.25 0.068525\n0.50 0.244770\n0.75 1.050150\nName: 15321, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2924786627401885, std values: 4.617703573957714, min values: 8.2009e-07, max values: 37.933, median values: 0.17932, and quantile values: 0.25 0.056982\n0.50 0.179320\n0.75 0.776435\nName: 15322, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.279280405308805, std values: 4.783381005172108, min values: 1.5496e-06, max values: 38.974, median values: 0.15111, and quantile values: 0.25 0.050848\n0.50 0.151110\n0.75 0.660810\nName: 15323, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4344740964289306, std values: 4.524273684455891, min values: 2.1456e-06, max values: 38.654, median values: 0.23971, and quantile values: 0.25 0.067595\n0.50 0.239710\n0.75 0.931935\nName: 15324, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4691187912967296, std values: 4.819485264129789, min values: 3.8528e-07, max values: 38.895, median values: 0.22262, and quantile values: 0.25 0.061179\n0.50 0.222620\n0.75 0.871065\nName: 15325, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.282372314901321, std values: 4.734026707679509, min values: 5.8961e-07, max values: 38.051, median values: 0.16545, and quantile values: 0.25 0.046697\n0.50 0.165450\n0.75 0.679900\nName: 15326, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2836490825094338, std values: 4.9063890972913855, min values: 2.5005e-06, max values: 39.924, median values: 0.15794, and quantile values: 0.25 0.055136\n0.50 0.157940\n0.75 0.653775\nName: 15327, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6057325693955975, std values: 5.2241590834499, min values: 1.7525e-06, max values: 44.142, median values: 0.24501, and quantile values: 0.25 0.071855\n0.50 0.245010\n0.75 1.001370\nName: 15328, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7680966935962266, std values: 5.361185916982661, min values: 2.3786e-06, max values: 44.987, median values: 0.27078, and quantile values: 0.25 0.070022\n0.50 0.270780\n0.75 1.149400\nName: 15329, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.585797351113195, std values: 4.9663500146122725, min values: 2.7298e-08, max values: 40.9, median values: 0.22148, and quantile values: 0.25 0.055711\n0.50 0.221480\n0.75 1.044970\nName: 15330, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5886125061638303, std values: 5.2277495718914215, min values: 2.877e-08, max values: 46.656, median values: 0.1819, and quantile values: 0.25 0.045547\n0.50 0.181900\n0.75 0.996475\nName: 15331, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5481137052050313, std values: 5.115791890860196, min values: 1.2992e-06, max values: 42.621, median values: 0.21059, and quantile values: 0.25 0.060050\n0.50 0.210590\n0.75 0.963825\nName: 15332, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4369330088221386, std values: 4.820846933167668, min values: 6.2522e-07, max values: 38.886, median values: 0.23145, and quantile values: 0.25 0.065182\n0.50 0.231450\n0.75 0.872535\nName: 15333, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3597294667106918, std values: 4.937469625735023, min values: 3.214e-06, max values: 40.508, median values: 0.18449, and quantile values: 0.25 0.057259\n0.50 0.184490\n0.75 0.662585\nName: 15334, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4207149201547171, std values: 4.955896098058198, min values: 1.2233e-06, max values: 40.5, median values: 0.19803, and quantile values: 0.25 0.065308\n0.50 0.198030\n0.75 0.826765\nName: 15335, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4265989348138366, std values: 4.910470848808296, min values: 1.1063e-06, max values: 39.503, median values: 0.20012, and quantile values: 0.25 0.052439\n0.50 0.200120\n0.75 0.880415\nName: 15336, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5618801374477984, std values: 4.9224484780546955, min values: 2.1328e-06, max values: 39.388, median values: 0.24807, and quantile values: 0.25 0.071949\n0.50 0.248070\n0.75 0.979655\nName: 15337, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4198571879628932, std values: 4.745982456936817, min values: 2.3686e-06, max values: 38.284, median values: 0.20518, and quantile values: 0.25 0.069724\n0.50 0.205180\n0.75 0.882535\nName: 15338, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2211543590483018, std values: 4.874022522844203, min values: 6.9998e-07, max values: 40.446, median values: 0.12227, and quantile values: 0.25 0.041257\n0.50 0.122270\n0.75 0.581440\nName: 15339, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4780242429115973, std values: 4.8311943502387935, min values: 4.2644e-08, max values: 39.028, median values: 0.21517, and quantile values: 0.25 0.050124\n0.50 0.215170\n0.75 0.955085\nName: 15340, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6032878388615723, std values: 4.922422028735421, min values: 6.4799e-07, max values: 38.515, median values: 0.27973, and quantile values: 0.25 0.065573\n0.50 0.279730\n0.75 1.062450\nName: 15341, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3542230802191255, std values: 4.901869498172617, min values: 1.6293e-08, max values: 42.986, median values: 0.15629, and quantile values: 0.25 0.033421\n0.50 0.156290\n0.75 0.708610\nName: 15342, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4447564420348427, std values: 5.119764756386404, min values: 9.8554e-07, max values: 44.54, median values: 0.2278, and quantile values: 0.25 0.066583\n0.50 0.227800\n0.75 0.828920\nName: 15343, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6090177125231446, std values: 4.999325783669153, min values: 5.9938e-07, max values: 40.733, median values: 0.23175, and quantile values: 0.25 0.068949\n0.50 0.231750\n0.75 1.043050\nName: 15344, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4425818129257861, std values: 4.902858617336594, min values: 1.0313e-06, max values: 39.985, median values: 0.23115, and quantile values: 0.25 0.062537\n0.50 0.231150\n0.75 0.876850\nName: 15345, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.406050913789937, std values: 4.948697001161506, min values: 2.3374e-06, max values: 39.881, median values: 0.21048, and quantile values: 0.25 0.059961\n0.50 0.210480\n0.75 0.795340\nName: 15346, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.388823843672327, std values: 4.997864418112194, min values: 1.6131e-06, max values: 40.483, median values: 0.18339, and quantile values: 0.25 0.056367\n0.50 0.183390\n0.75 0.763580\nName: 15347, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5658112001606916, std values: 5.1262238686516515, min values: 1.6855e-07, max values: 43.843, median values: 0.22737, and quantile values: 0.25 0.060815\n0.50 0.227370\n0.75 1.032435\nName: 15348, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4334972307232703, std values: 4.834365440896343, min values: 1.248e-06, max values: 38.488, median values: 0.23805, and quantile values: 0.25 0.060658\n0.50 0.238050\n0.75 0.796840\nName: 15349, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6112604269232706, std values: 5.502210865655571, min values: 4.7166e-06, max values: 47.57, median values: 0.23432, and quantile values: 0.25 0.072321\n0.50 0.234320\n0.75 0.934115\nName: 15350, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4797575256320756, std values: 4.926444655899961, min values: 2.0315e-06, max values: 39.322, median values: 0.20736, and quantile values: 0.25 0.059344\n0.50 0.207360\n0.75 0.839415\nName: 15351, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3363038807050316, std values: 4.703792431097865, min values: 8.256e-07, max values: 38.714, median values: 0.19311, and quantile values: 0.25 0.055093\n0.50 0.193110\n0.75 0.740360\nName: 15352, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4821441419320753, std values: 4.756647831464756, min values: 3.8354e-06, max values: 40.776, median values: 0.24007, and quantile values: 0.25 0.066725\n0.50 0.240070\n0.75 0.879870\nName: 15353, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.611718588535849, std values: 4.865266631908585, min values: 2.9162e-06, max values: 38.996, median values: 0.28576, and quantile values: 0.25 0.079608\n0.50 0.285760\n0.75 1.126450\nName: 15354, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2343141392962262, std values: 4.5829388025865985, min values: 1.5773e-06, max values: 38.724, median values: 0.1617, and quantile values: 0.25 0.049866\n0.50 0.161700\n0.75 0.612795\nName: 15355, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.566325186581132, std values: 5.110431309052856, min values: 2.3101e-06, max values: 41.703, median values: 0.23355, and quantile values: 0.25 0.069111\n0.50 0.233550\n0.75 0.919720\nName: 15356, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5088702046132076, std values: 5.042276420521758, min values: 2.3783e-06, max values: 41.062, median values: 0.22307, and quantile values: 0.25 0.066848\n0.50 0.223070\n0.75 0.897640\nName: 15357, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6253310056044026, std values: 5.092975673498982, min values: 2.1429e-06, max values: 41.74, median values: 0.26827, and quantile values: 0.25 0.075039\n0.50 0.268270\n0.75 1.053000\nName: 15358, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6688117056377358, std values: 5.3059669610631754, min values: 4.9791e-06, max values: 42.703, median values: 0.26737, and quantile values: 0.25 0.08398\n0.50 0.26737\n0.75 0.94476\nName: 15359, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.461240702966038, std values: 4.9884523823796805, min values: 1.664e-07, max values: 42.115, median values: 0.22363, and quantile values: 0.25 0.058938\n0.50 0.223630\n0.75 0.873400\nName: 15360, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6103113420490567, std values: 4.951090837535773, min values: 2.3624e-06, max values: 39.711, median values: 0.26564, and quantile values: 0.25 0.073576\n0.50 0.265640\n0.75 1.085750\nName: 15361, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5207550257232703, std values: 4.926260846163244, min values: 5.4195e-06, max values: 40.969, median values: 0.23422, and quantile values: 0.25 0.068489\n0.50 0.234220\n0.75 0.872135\nName: 15362, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.299798499973585, std values: 4.881383045840173, min values: 2.3462e-06, max values: 40.598, median values: 0.16447, and quantile values: 0.25 0.047684\n0.50 0.164470\n0.75 0.678450\nName: 15363, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4366212761811321, std values: 5.028321525500712, min values: 1.5454e-06, max values: 42.313, median values: 0.19549, and quantile values: 0.25 0.057951\n0.50 0.195490\n0.75 0.839775\nName: 15364, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5012407851301888, std values: 4.900211861493788, min values: 2.1798e-06, max values: 38.857, median values: 0.23791, and quantile values: 0.25 0.066634\n0.50 0.237910\n0.75 0.936060\nName: 15365, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4951500147805032, std values: 5.029136234030167, min values: 1.3431e-06, max values: 41.606, median values: 0.20972, and quantile values: 0.25 0.066010\n0.50 0.209720\n0.75 0.839895\nName: 15366, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4513707724402518, std values: 4.7563604363471335, min values: 2.076e-06, max values: 39.255, median values: 0.21717, and quantile values: 0.25 0.069627\n0.50 0.217170\n0.75 0.865120\nName: 15367, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3103621467547168, std values: 4.898901145203172, min values: 2.7099e-06, max values: 40.726, median values: 0.16984, and quantile values: 0.25 0.051236\n0.50 0.169840\n0.75 0.603020\nName: 15368, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5356608366659497, std values: 4.897362693836688, min values: 2.5176e-08, max values: 40.574, median values: 0.25162, and quantile values: 0.25 0.050827\n0.50 0.251620\n0.75 0.954545\nName: 15369, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4525007607691192, std values: 4.808072727507956, min values: 6.3509e-07, max values: 38.306, median values: 0.20565, and quantile values: 0.25 0.055100\n0.50 0.205650\n0.75 0.872795\nName: 15370, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1444167954874214, std values: 4.44404201739827, min values: 3.6738e-07, max values: 36.254, median values: 0.12972, and quantile values: 0.25 0.038497\n0.50 0.129720\n0.75 0.561525\nName: 15371, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6170229219396224, std values: 5.263477642071295, min values: 2.0461e-06, max values: 44.864, median values: 0.25987, and quantile values: 0.25 0.069346\n0.50 0.259870\n0.75 1.035850\nName: 15372, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3502144839158619, std values: 4.648955882584277, min values: 3.3032e-08, max values: 36.859, median values: 0.16154, and quantile values: 0.25 0.04391\n0.50 0.16154\n0.75 0.75947\nName: 15373, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4606038540542767, std values: 4.877977889810505, min values: 4.2133e-07, max values: 39.907, median values: 0.19572, and quantile values: 0.25 0.056445\n0.50 0.195720\n0.75 0.812725\nName: 15374, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3274097325377359, std values: 4.792228501817741, min values: 4.7341e-06, max values: 40.912, median values: 0.20193, and quantile values: 0.25 0.052082\n0.50 0.201930\n0.75 0.652055\nName: 15375, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5241707318276727, std values: 5.008498024839232, min values: 6.444e-07, max values: 41.391, median values: 0.23225, and quantile values: 0.25 0.052161\n0.50 0.232250\n0.75 0.897415\nName: 15376, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8761564328213838, std values: 5.3613241779734055, min values: 5.2953e-06, max values: 41.263, median values: 0.36218, and quantile values: 0.25 0.088218\n0.50 0.362180\n0.75 1.233550\nName: 15377, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.530465005100428, std values: 4.770859667346545, min values: 2.5688e-08, max values: 37.479, median values: 0.27087, and quantile values: 0.25 0.054101\n0.50 0.270870\n0.75 1.051950\nName: 15378, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1828179586062892, std values: 4.768680007964762, min values: 1.8883e-06, max values: 39.343, median values: 0.13684, and quantile values: 0.25 0.046567\n0.50 0.136840\n0.75 0.540050\nName: 15379, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3627932324094338, std values: 4.831132605362885, min values: 2.1866e-06, max values: 39.11, median values: 0.17664, and quantile values: 0.25 0.052603\n0.50 0.176640\n0.75 0.784465\nName: 15380, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.42063543163522, std values: 4.79601125235928, min values: 3.6158e-06, max values: 40.321, median values: 0.21739, and quantile values: 0.25 0.064869\n0.50 0.217390\n0.75 0.772710\nName: 15381, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.685563530751572, std values: 5.281238051388841, min values: 5.8825e-06, max values: 41.651, median values: 0.25606, and quantile values: 0.25 0.069907\n0.50 0.256060\n0.75 0.998250\nName: 15382, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6235022908352201, std values: 5.160379751677457, min values: 1.0693e-06, max values: 43.368, median values: 0.26248, and quantile values: 0.25 0.065862\n0.50 0.262480\n0.75 1.099850\nName: 15383, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2651300348038994, std values: 4.46004963147657, min values: 4.8392e-07, max values: 37.196, median values: 0.17986, and quantile values: 0.25 0.052326\n0.50 0.179860\n0.75 0.728405\nName: 15384, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4756770213981132, std values: 4.921188554206598, min values: 1.3996e-06, max values: 39.464, median values: 0.21498, and quantile values: 0.25 0.067672\n0.50 0.214980\n0.75 0.886730\nName: 15385, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.653237804580503, std values: 5.163174578614761, min values: 4.0374e-06, max values: 41.24, median values: 0.26867, and quantile values: 0.25 0.076156\n0.50 0.268670\n0.75 1.005165\nName: 15386, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6361302722364781, std values: 5.294685469720011, min values: 3.7052e-06, max values: 43.667, median values: 0.26818, and quantile values: 0.25 0.085117\n0.50 0.268180\n0.75 0.930880\nName: 15387, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.190166294354717, std values: 4.706829992824721, min values: 1.1109e-06, max values: 37.866, median values: 0.14764, and quantile values: 0.25 0.050876\n0.50 0.147640\n0.75 0.552275\nName: 15388, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2077362590578615, std values: 4.7466108073878495, min values: 2.7464e-07, max values: 39.566, median values: 0.145, and quantile values: 0.25 0.042527\n0.50 0.145000\n0.75 0.614615\nName: 15389, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4957380027610063, std values: 5.121951092536133, min values: 1.922e-07, max values: 45.075, median values: 0.19726, and quantile values: 0.25 0.062363\n0.50 0.197260\n0.75 0.876230\nName: 15390, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6747184979069183, std values: 5.144067602233137, min values: 4.4331e-06, max values: 40.987, median values: 0.28256, and quantile values: 0.25 0.074849\n0.50 0.282560\n0.75 1.000070\nName: 15391, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3890534415573585, std values: 4.850536791310388, min values: 2.0312e-07, max values: 39.933, median values: 0.19706, and quantile values: 0.25 0.052547\n0.50 0.197060\n0.75 0.761760\nName: 15392, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6914398112666669, std values: 4.980783519574801, min values: 4.2859e-06, max values: 39.871, median values: 0.26612, and quantile values: 0.25 0.08579\n0.50 0.26612\n0.75 1.14855\nName: 15393, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3411997303909498, std values: 4.601478681344558, min values: 1.7861e-08, max values: 37.02, median values: 0.16042, and quantile values: 0.25 0.034724\n0.50 0.160420\n0.75 0.672350\nName: 15394, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6578232020522015, std values: 4.980647736417097, min values: 3.2309e-06, max values: 40.163, median values: 0.28091, and quantile values: 0.25 0.081467\n0.50 0.280910\n0.75 1.056900\nName: 15395, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2617372653773582, std values: 4.482972516890608, min values: 1.2535e-06, max values: 38.69, median values: 0.16948, and quantile values: 0.25 0.057368\n0.50 0.169480\n0.75 0.713390\nName: 15396, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.483391029535849, std values: 5.2168055250073255, min values: 1.6384e-06, max values: 44.14, median values: 0.21182, and quantile values: 0.25 0.051125\n0.50 0.211820\n0.75 0.937725\nName: 15397, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.379932714245283, std values: 4.812666692936286, min values: 1.0335e-06, max values: 38.785, median values: 0.19737, and quantile values: 0.25 0.054761\n0.50 0.197370\n0.75 0.749290\nName: 15398, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.408390637517019, std values: 4.806588530496587, min values: 1.9926e-08, max values: 39.606, median values: 0.20076, and quantile values: 0.25 0.04607\n0.50 0.20076\n0.75 0.76165\nName: 15399, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5865544434559748, std values: 5.159639002851881, min values: 3.0005e-06, max values: 41.874, median values: 0.22676, and quantile values: 0.25 0.071192\n0.50 0.226760\n0.75 0.959670\nName: 15400, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1939777844918869, std values: 4.55017402579433, min values: 2.1224e-07, max values: 36.435, median values: 0.13337, and quantile values: 0.25 0.035125\n0.50 0.133370\n0.75 0.601480\nName: 15401, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3790711233150945, std values: 4.774296968541461, min values: 8.855e-07, max values: 38.0, median values: 0.19885, and quantile values: 0.25 0.053968\n0.50 0.198850\n0.75 0.768435\nName: 15402, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.372128079012176, std values: 5.032119102612812, min values: 1.7346e-08, max values: 44.029, median values: 0.14875, and quantile values: 0.25 0.044335\n0.50 0.148750\n0.75 0.689345\nName: 15403, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2167272329339056, std values: 4.587650380050487, min values: 8.3211e-08, max values: 36.845, median values: 0.15523, and quantile values: 0.25 0.038766\n0.50 0.155230\n0.75 0.639335\nName: 15404, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.585136791574214, std values: 5.087918714537925, min values: 2.7674e-06, max values: 40.641, median values: 0.23503, and quantile values: 0.25 0.072939\n0.50 0.235030\n0.75 0.970880\nName: 15405, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3621365335301885, std values: 4.529263622474966, min values: 2.1529e-06, max values: 38.423, median values: 0.20959, and quantile values: 0.25 0.061601\n0.50 0.209590\n0.75 0.810405\nName: 15406, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7206479071748428, std values: 5.33659078932992, min values: 3.189e-06, max values: 44.985, median values: 0.32623, and quantile values: 0.25 0.083482\n0.50 0.326230\n0.75 1.117100\nName: 15407, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4487177441460377, std values: 4.744244325793168, min values: 2.2722e-08, max values: 38.647, median values: 0.22522, and quantile values: 0.25 0.047344\n0.50 0.225220\n0.75 0.874835\nName: 15408, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4403193630729558, std values: 4.915547000736371, min values: 2.1046e-06, max values: 39.549, median values: 0.21331, and quantile values: 0.25 0.061347\n0.50 0.213310\n0.75 0.835035\nName: 15409, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2932654238979246, std values: 4.983858817032733, min values: 8.6787e-07, max values: 42.442, median values: 0.14145, and quantile values: 0.25 0.041819\n0.50 0.141450\n0.75 0.629545\nName: 15410, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4590038093660378, std values: 4.711606109776622, min values: 2.3945e-06, max values: 39.691, median values: 0.22925, and quantile values: 0.25 0.067258\n0.50 0.229250\n0.75 0.879795\nName: 15411, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3585170576116352, std values: 4.766331553995714, min values: 2.3306e-07, max values: 38.985, median values: 0.13238, and quantile values: 0.25 0.042711\n0.50 0.132380\n0.75 0.679170\nName: 15412, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4760050380786163, std values: 4.901388588848741, min values: 2.614e-06, max values: 39.502, median values: 0.2171, and quantile values: 0.25 0.074411\n0.50 0.217100\n0.75 0.910045\nName: 15413, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4458228509186164, std values: 4.883943458079985, min values: 2.7806e-07, max values: 40.012, median values: 0.18603, and quantile values: 0.25 0.050029\n0.50 0.186030\n0.75 0.826775\nName: 15414, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5048437735648428, std values: 4.8763857596303595, min values: 5.2771e-07, max values: 39.285, median values: 0.24666, and quantile values: 0.25 0.065003\n0.50 0.246660\n0.75 0.958700\nName: 15415, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6323030560654088, std values: 5.039252081671809, min values: 2.6029e-06, max values: 39.9, median values: 0.27666, and quantile values: 0.25 0.077216\n0.50 0.276660\n0.75 1.143950\nName: 15416, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6594552560402513, std values: 5.123108808362181, min values: 2.3554e-06, max values: 40.809, median values: 0.2633, and quantile values: 0.25 0.087293\n0.50 0.263300\n0.75 1.102800\nName: 15417, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5177946393597859, std values: 5.041630327650786, min values: 1.5806e-08, max values: 42.61, median values: 0.19236, and quantile values: 0.25 0.052362\n0.50 0.192360\n0.75 0.959985\nName: 15418, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4868724882955977, std values: 4.966107255791482, min values: 2.4813e-06, max values: 40.127, median values: 0.2426, and quantile values: 0.25 0.068614\n0.50 0.242600\n0.75 0.855165\nName: 15419, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7782246953981131, std values: 5.211699772487233, min values: 3.313e-06, max values: 41.435, median values: 0.35028, and quantile values: 0.25 0.093846\n0.50 0.350280\n0.75 1.169650\nName: 15420, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.277341343881132, std values: 4.5236833486904, min values: 1.2058e-06, max values: 38.41, median values: 0.1749, and quantile values: 0.25 0.056346\n0.50 0.174900\n0.75 0.730390\nName: 15421, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1693675532175474, std values: 4.554388964934795, min values: 7.4609e-07, max values: 37.962, median values: 0.13492, and quantile values: 0.25 0.050648\n0.50 0.134920\n0.75 0.568400\nName: 15422, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6562216569849053, std values: 4.914535891303415, min values: 1.3483e-06, max values: 37.948, median values: 0.25623, and quantile values: 0.25 0.075875\n0.50 0.256230\n0.75 1.106050\nName: 15423, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.625745373114465, std values: 5.252722415594558, min values: 3.4471e-06, max values: 43.388, median values: 0.2622, and quantile values: 0.25 0.081957\n0.50 0.262200\n0.75 1.010875\nName: 15424, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4836614328377358, std values: 5.023680449985662, min values: 3.1783e-06, max values: 40.873, median values: 0.23236, and quantile values: 0.25 0.065502\n0.50 0.232360\n0.75 0.889450\nName: 15425, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5662238315088048, std values: 5.065773645370146, min values: 2.0121e-06, max values: 41.126, median values: 0.2332, and quantile values: 0.25 0.06664\n0.50 0.23320\n0.75 1.02155\nName: 15426, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.24343376803522, std values: 4.636875211974089, min values: 1.0273e-06, max values: 38.419, median values: 0.15559, and quantile values: 0.25 0.050301\n0.50 0.155590\n0.75 0.618875\nName: 15427, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8573995768138365, std values: 5.179924953551849, min values: 3.1543e-06, max values: 39.533, median values: 0.31899, and quantile values: 0.25 0.082618\n0.50 0.318990\n0.75 1.287650\nName: 15428, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.410793837074767, std values: 4.851379844354873, min values: 3.9688e-08, max values: 39.838, median values: 0.18179, and quantile values: 0.25 0.050373\n0.50 0.181790\n0.75 0.854345\nName: 15429, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.376523401235849, std values: 4.638931546934097, min values: 1.0889e-06, max values: 38.954, median values: 0.21765, and quantile values: 0.25 0.059673\n0.50 0.217650\n0.75 0.772495\nName: 15430, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.22963381284717, std values: 4.957439429497632, min values: 1.9745e-06, max values: 41.087, median values: 0.14971, and quantile values: 0.25 0.049431\n0.50 0.149710\n0.75 0.541310\nName: 15431, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4562968477144653, std values: 4.729261084603918, min values: 3.4007e-06, max values: 39.56, median values: 0.23765, and quantile values: 0.25 0.062206\n0.50 0.237650\n0.75 0.917485\nName: 15432, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6669763096295598, std values: 5.216769571102846, min values: 1.524e-06, max values: 43.876, median values: 0.28127, and quantile values: 0.25 0.072744\n0.50 0.281270\n0.75 1.033500\nName: 15433, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.708253381035849, std values: 5.165559552871371, min values: 2.582e-06, max values: 41.623, median values: 0.28353, and quantile values: 0.25 0.078146\n0.50 0.283530\n0.75 1.209500\nName: 15434, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5987344367064154, std values: 5.1487696607172575, min values: 5.4422e-07, max values: 43.776, median values: 0.24562, and quantile values: 0.25 0.059039\n0.50 0.245620\n0.75 0.924730\nName: 15435, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5089019603616356, std values: 4.901426594130429, min values: 5.6403e-06, max values: 41.158, median values: 0.22579, and quantile values: 0.25 0.064238\n0.50 0.225790\n0.75 0.899520\nName: 15436, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7781874076663522, std values: 5.324218703644772, min values: 2.4095e-07, max values: 46.386, median values: 0.29435, and quantile values: 0.25 0.073345\n0.50 0.294350\n0.75 1.213050\nName: 15437, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4291198502132263, std values: 4.882847029127994, min values: 2.5623e-08, max values: 40.906, median values: 0.17745, and quantile values: 0.25 0.041292\n0.50 0.177450\n0.75 0.758970\nName: 15438, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6213195338591198, std values: 5.053624293817659, min values: 2.6894e-06, max values: 40.01, median values: 0.25163, and quantile values: 0.25 0.076439\n0.50 0.251630\n0.75 1.024950\nName: 15439, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2814755770451889, std values: 4.641553589899489, min values: 2.2645e-08, max values: 37.214, median values: 0.17911, and quantile values: 0.25 0.040234\n0.50 0.179110\n0.75 0.718870\nName: 15440, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5131427725031446, std values: 4.883256453183673, min values: 3.148e-06, max values: 39.572, median values: 0.22822, and quantile values: 0.25 0.070481\n0.50 0.228220\n0.75 0.935070\nName: 15441, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6925450819949683, std values: 5.13054137129098, min values: 2.0133e-06, max values: 41.181, median values: 0.28044, and quantile values: 0.25 0.075623\n0.50 0.280440\n0.75 1.100935\nName: 15442, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6337034801276733, std values: 5.224254792542793, min values: 1.3603e-06, max values: 44.585, median values: 0.26287, and quantile values: 0.25 0.068096\n0.50 0.262870\n0.75 1.000420\nName: 15443, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7093005821987421, std values: 5.257280779451476, min values: 3.8717e-06, max values: 42.868, median values: 0.28829, and quantile values: 0.25 0.072945\n0.50 0.288290\n0.75 1.144550\nName: 15444, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6833773500289309, std values: 5.139418213008086, min values: 5.6332e-06, max values: 40.019, median values: 0.30479, and quantile values: 0.25 0.085324\n0.50 0.304790\n0.75 1.044835\nName: 15445, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.548004861689308, std values: 4.922576721799706, min values: 1.8241e-06, max values: 38.895, median values: 0.22957, and quantile values: 0.25 0.069877\n0.50 0.229570\n0.75 0.981570\nName: 15446, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7213017943540878, std values: 5.070020728037665, min values: 1.5424e-06, max values: 40.239, median values: 0.32436, and quantile values: 0.25 0.077874\n0.50 0.324360\n0.75 1.233800\nName: 15447, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4023512812610062, std values: 4.6015948516014875, min values: 1.6878e-06, max values: 38.026, median values: 0.21704, and quantile values: 0.25 0.056924\n0.50 0.217040\n0.75 0.859120\nName: 15448, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5839038357942765, std values: 4.860392176737699, min values: 6.629e-08, max values: 38.525, median values: 0.24562, and quantile values: 0.25 0.068355\n0.50 0.245620\n0.75 1.083000\nName: 15449, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5645533216106917, std values: 4.9514768988283215, min values: 1.9677e-06, max values: 38.819, median values: 0.23927, and quantile values: 0.25 0.068843\n0.50 0.239270\n0.75 1.013525\nName: 15450, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.573237986117302, std values: 5.115162981574106, min values: 2.2251e-08, max values: 43.547, median values: 0.21325, and quantile values: 0.25 0.061325\n0.50 0.213250\n0.75 1.012590\nName: 15451, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.560823374945912, std values: 4.853916661776739, min values: 1.4463e-06, max values: 38.327, median values: 0.25672, and quantile values: 0.25 0.069603\n0.50 0.256720\n0.75 1.014005\nName: 15452, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6547088761459119, std values: 5.028837554630435, min values: 2.8174e-06, max values: 39.542, median values: 0.27277, and quantile values: 0.25 0.080822\n0.50 0.272770\n0.75 1.148600\nName: 15453, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7482980550286793, std values: 5.086146056481141, min values: 2.1021e-08, max values: 42.068, median values: 0.2561, and quantile values: 0.25 0.050161\n0.50 0.256100\n0.75 1.160250\nName: 15454, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4601656252616353, std values: 4.776783691287494, min values: 1.7557e-06, max values: 38.865, median values: 0.25595, and quantile values: 0.25 0.066815\n0.50 0.255950\n0.75 0.863930\nName: 15455, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6532811755295596, std values: 4.9873035812573026, min values: 1.424e-06, max values: 38.954, median values: 0.27772, and quantile values: 0.25 0.068951\n0.50 0.277720\n0.75 1.059650\nName: 15456, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3475871448150942, std values: 4.801364835330727, min values: 1.0175e-06, max values: 38.44, median values: 0.17702, and quantile values: 0.25 0.057746\n0.50 0.177020\n0.75 0.745170\nName: 15457, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7386835153867926, std values: 5.22587649746199, min values: 2.6684e-06, max values: 42.594, median values: 0.28529, and quantile values: 0.25 0.082915\n0.50 0.285290\n0.75 1.212850\nName: 15458, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7187515290265407, std values: 5.223585931836374, min values: 5.1332e-07, max values: 43.928, median values: 0.26427, and quantile values: 0.25 0.070708\n0.50 0.264270\n0.75 1.180250\nName: 15459, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6477609220157234, std values: 4.956346271891353, min values: 1.9003e-06, max values: 39.409, median values: 0.25353, and quantile values: 0.25 0.068287\n0.50 0.253530\n0.75 1.138050\nName: 15460, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.471544334008176, std values: 4.933728906339948, min values: 1.7957e-06, max values: 39.658, median values: 0.22025, and quantile values: 0.25 0.065372\n0.50 0.220250\n0.75 0.849330\nName: 15461, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.306024413253145, std values: 4.7307934705904575, min values: 6.2985e-07, max values: 37.878, median values: 0.18351, and quantile values: 0.25 0.052398\n0.50 0.183510\n0.75 0.686915\nName: 15462, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5053624135754715, std values: 5.088043189917492, min values: 1.7872e-06, max values: 41.79, median values: 0.20665, and quantile values: 0.25 0.060984\n0.50 0.206650\n0.75 0.921765\nName: 15463, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2835311962357863, std values: 4.869162670461548, min values: 6.954e-08, max values: 41.92, median values: 0.15907, and quantile values: 0.25 0.040136\n0.50 0.159070\n0.75 0.647835\nName: 15464, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6117166268937106, std values: 5.106995939987755, min values: 2.1523e-06, max values: 41.697, median values: 0.27948, and quantile values: 0.25 0.075749\n0.50 0.279480\n0.75 0.984925\nName: 15465, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4107004640792453, std values: 4.809316732749918, min values: 1.1808e-06, max values: 39.123, median values: 0.20162, and quantile values: 0.25 0.062073\n0.50 0.201620\n0.75 0.823380\nName: 15466, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3267346792811319, std values: 4.752277315767519, min values: 1.7756e-06, max values: 39.963, median values: 0.19034, and quantile values: 0.25 0.055323\n0.50 0.190340\n0.75 0.770930\nName: 15467, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7114379079779873, std values: 5.182528787006434, min values: 2.0939e-06, max values: 42.092, median values: 0.31058, and quantile values: 0.25 0.075731\n0.50 0.310580\n0.75 1.166650\nName: 15468, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.431222558072264, std values: 4.76923551085689, min values: 4.7409e-07, max values: 37.695, median values: 0.19912, and quantile values: 0.25 0.053486\n0.50 0.199120\n0.75 0.878045\nName: 15469, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.482349873486981, std values: 4.795774432202966, min values: 6.7113e-07, max values: 38.277, median values: 0.20881, and quantile values: 0.25 0.051869\n0.50 0.208810\n0.75 0.958115\nName: 15470, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5036109784761007, std values: 4.951452190100611, min values: 1.8315e-06, max values: 39.561, median values: 0.22932, and quantile values: 0.25 0.063207\n0.50 0.229320\n0.75 0.934385\nName: 15471, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5531161212037736, std values: 5.117532775229169, min values: 1.6349e-06, max values: 42.91, median values: 0.24676, and quantile values: 0.25 0.071726\n0.50 0.246760\n0.75 0.909475\nName: 15472, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.36824516991761, std values: 4.926456217951585, min values: 1.4982e-06, max values: 40.841, median values: 0.18178, and quantile values: 0.25 0.056217\n0.50 0.181780\n0.75 0.778555\nName: 15473, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3556299001534589, std values: 4.817474707032448, min values: 2.1334e-06, max values: 39.199, median values: 0.18738, and quantile values: 0.25 0.055165\n0.50 0.187380\n0.75 0.776405\nName: 15474, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4451310338671068, std values: 4.949415163691313, min values: 9.0487e-07, max values: 40.758, median values: 0.20886, and quantile values: 0.25 0.056815\n0.50 0.208860\n0.75 0.893710\nName: 15475, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3514417013173585, std values: 4.790516574961059, min values: 3.7658e-07, max values: 39.655, median values: 0.1827, and quantile values: 0.25 0.043625\n0.50 0.182700\n0.75 0.748335\nName: 15476, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.282227172490811, std values: 4.606182840235652, min values: 2.1889e-08, max values: 36.539, median values: 0.14969, and quantile values: 0.25 0.035865\n0.50 0.149690\n0.75 0.617575\nName: 15477, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4007132935006288, std values: 4.7769189717066975, min values: 2.1877e-07, max values: 38.603, median values: 0.1654, and quantile values: 0.25 0.041791\n0.50 0.165400\n0.75 0.740935\nName: 15478, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.643665298633459, std values: 5.06780790832198, min values: 7.1082e-07, max values: 41.639, median values: 0.24352, and quantile values: 0.25 0.075473\n0.50 0.243520\n0.75 1.111050\nName: 15479, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6184886604446918, std values: 5.0585110820881605, min values: 3.4006e-08, max values: 42.083, median values: 0.233, and quantile values: 0.25 0.06615\n0.50 0.23300\n0.75 1.03492\nName: 15480, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5121888932880503, std values: 4.837311196580498, min values: 1.8382e-06, max values: 39.127, median values: 0.25318, and quantile values: 0.25 0.069122\n0.50 0.253180\n0.75 0.959910\nName: 15481, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5221879797636224, std values: 4.746814270884445, min values: 3.0416e-08, max values: 37.389, median values: 0.24097, and quantile values: 0.25 0.057692\n0.50 0.240970\n0.75 1.051350\nName: 15482, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.54924127411195, std values: 5.202012867680391, min values: 2.0218e-06, max values: 44.04, median values: 0.26414, and quantile values: 0.25 0.064967\n0.50 0.264140\n0.75 0.951745\nName: 15483, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.478259785465409, std values: 4.863014849830915, min values: 1.8026e-06, max values: 39.33, median values: 0.20915, and quantile values: 0.25 0.059418\n0.50 0.209150\n0.75 0.920795\nName: 15484, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4664707750257864, std values: 5.061429972114516, min values: 1.5496e-06, max values: 42.262, median values: 0.22166, and quantile values: 0.25 0.057002\n0.50 0.221660\n0.75 0.799505\nName: 15485, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.740105905512579, std values: 5.091245571717768, min values: 4.622e-06, max values: 39.969, median values: 0.29105, and quantile values: 0.25 0.088362\n0.50 0.291050\n0.75 1.146300\nName: 15486, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.364498528693082, std values: 4.874258853240514, min values: 1.7399e-06, max values: 39.713, median values: 0.1955, and quantile values: 0.25 0.059202\n0.50 0.195500\n0.75 0.772720\nName: 15487, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3424923081125786, std values: 4.894044654523941, min values: 3.0927e-06, max values: 41.123, median values: 0.18534, and quantile values: 0.25 0.050382\n0.50 0.185340\n0.75 0.653435\nName: 15488, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2813934584849058, std values: 4.631444496551051, min values: 2.26e-08, max values: 37.594, median values: 0.17078, and quantile values: 0.25 0.045245\n0.50 0.170780\n0.75 0.727620\nName: 15489, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7485615511930814, std values: 5.377496025546275, min values: 5.4677e-06, max values: 43.924, median values: 0.30817, and quantile values: 0.25 0.075566\n0.50 0.308170\n0.75 1.062600\nName: 15490, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4077358808044025, std values: 4.806930426187512, min values: 3.991e-07, max values: 38.768, median values: 0.20118, and quantile values: 0.25 0.055974\n0.50 0.201180\n0.75 0.835755\nName: 15491, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7061144120232703, std values: 5.216363688370142, min values: 1.7915e-06, max values: 43.449, median values: 0.29962, and quantile values: 0.25 0.081294\n0.50 0.299620\n0.75 1.122000\nName: 15492, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6500531789679247, std values: 5.1414501803830355, min values: 1.3625e-06, max values: 42.771, median values: 0.24141, and quantile values: 0.25 0.074698\n0.50 0.241410\n0.75 1.009105\nName: 15493, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2665157110290566, std values: 4.78026754524907, min values: 6.4592e-07, max values: 39.204, median values: 0.17193, and quantile values: 0.25 0.052484\n0.50 0.171930\n0.75 0.682925\nName: 15494, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4937400624540882, std values: 4.822145881932993, min values: 1.0529e-06, max values: 38.121, median values: 0.24177, and quantile values: 0.25 0.074917\n0.50 0.241770\n0.75 0.918060\nName: 15495, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6175773846704402, std values: 5.1802686635706845, min values: 3.7116e-06, max values: 42.228, median values: 0.25602, and quantile values: 0.25 0.076312\n0.50 0.256020\n0.75 0.960195\nName: 15496, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7066243962226415, std values: 4.950699137544247, min values: 1.0698e-06, max values: 38.697, median values: 0.30836, and quantile values: 0.25 0.084316\n0.50 0.308360\n0.75 1.187100\nName: 15497, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2607342805238992, std values: 4.68232753464018, min values: 9.653e-07, max values: 39.22, median values: 0.16209, and quantile values: 0.25 0.053760\n0.50 0.162090\n0.75 0.685325\nName: 15498, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5103761787572956, std values: 5.0413920850229275, min values: 7.4601e-07, max values: 42.599, median values: 0.23627, and quantile values: 0.25 0.071553\n0.50 0.236270\n0.75 0.879520\nName: 15499, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4772829291323901, std values: 4.946935692416926, min values: 8.0915e-07, max values: 40.202, median values: 0.20707, and quantile values: 0.25 0.060886\n0.50 0.207070\n0.75 0.876935\nName: 15500, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4321892140416355, std values: 4.801995050937484, min values: 8.4482e-07, max values: 38.389, median values: 0.20329, and quantile values: 0.25 0.060330\n0.50 0.203290\n0.75 0.878725\nName: 15501, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6226651801886791, std values: 5.312321830467764, min values: 2.0907e-06, max values: 46.168, median values: 0.25419, and quantile values: 0.25 0.07118\n0.50 0.25419\n0.75 1.04305\nName: 15502, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7211095471924527, std values: 5.192398040122702, min values: 1.6616e-06, max values: 42.586, median values: 0.27876, and quantile values: 0.25 0.080971\n0.50 0.278760\n0.75 1.195750\nName: 15503, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3759085574057233, std values: 4.682214828780164, min values: 3.4461e-07, max values: 37.635, median values: 0.19253, and quantile values: 0.25 0.054502\n0.50 0.192530\n0.75 0.841750\nName: 15504, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.620394934054088, std values: 5.152011270770124, min values: 1.6866e-06, max values: 43.32, median values: 0.2616, and quantile values: 0.25 0.076257\n0.50 0.261600\n0.75 1.032550\nName: 15505, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5525784158874214, std values: 4.748951966035381, min values: 1.1531e-06, max values: 38.827, median values: 0.24698, and quantile values: 0.25 0.074361\n0.50 0.246980\n0.75 1.037740\nName: 15506, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6035332201194967, std values: 5.301102175969857, min values: 1.5446e-06, max values: 46.146, median values: 0.24051, and quantile values: 0.25 0.070813\n0.50 0.240510\n0.75 1.057700\nName: 15507, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4688903666088051, std values: 4.942887012434361, min values: 1.3823e-06, max values: 39.796, median values: 0.21285, and quantile values: 0.25 0.064533\n0.50 0.212850\n0.75 0.895595\nName: 15508, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5337220341735849, std values: 5.143900239299478, min values: 2.2164e-06, max values: 43.111, median values: 0.23411, and quantile values: 0.25 0.074435\n0.50 0.234110\n0.75 0.910200\nName: 15509, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4179881982358489, std values: 5.075099269153873, min values: 3.1781e-06, max values: 40.977, median values: 0.20775, and quantile values: 0.25 0.062173\n0.50 0.207750\n0.75 0.691600\nName: 15510, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.10992745866856, std values: 6.36972424721905, min values: 2.4401e-08, max values: 61.944, median values: 0.30216, and quantile values: 0.25 0.075008\n0.50 0.302160\n0.75 1.521500\nName: 15511, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4067291614974844, std values: 5.0438214578387175, min values: 2.0014e-06, max values: 41.856, median values: 0.1979, and quantile values: 0.25 0.059414\n0.50 0.197900\n0.75 0.773295\nName: 15512, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6135649604012576, std values: 5.226333412840577, min values: 4.9225e-06, max values: 42.707, median values: 0.26229, and quantile values: 0.25 0.079567\n0.50 0.262290\n0.75 0.937945\nName: 15513, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3850776875836477, std values: 4.828486173888836, min values: 1.5448e-06, max values: 39.456, median values: 0.20836, and quantile values: 0.25 0.053683\n0.50 0.208360\n0.75 0.831120\nName: 15514, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5509943573280505, std values: 5.05823160993663, min values: 7.6936e-07, max values: 42.708, median values: 0.21761, and quantile values: 0.25 0.065029\n0.50 0.217610\n0.75 0.952215\nName: 15515, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5721596263480504, std values: 5.02537552651319, min values: 2.5814e-07, max values: 42.36, median values: 0.23964, and quantile values: 0.25 0.060361\n0.50 0.239640\n0.75 0.985295\nName: 15516, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2783260637122642, std values: 4.6333057437408804, min values: 1.1315e-07, max values: 37.485, median values: 0.17858, and quantile values: 0.25 0.051022\n0.50 0.178580\n0.75 0.726610\nName: 15517, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3106021337355347, std values: 4.782943266223732, min values: 7.8165e-07, max values: 39.34, median values: 0.17657, and quantile values: 0.25 0.055326\n0.50 0.176570\n0.75 0.702635\nName: 15518, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4875248269327044, std values: 4.969844069413505, min values: 3.296e-06, max values: 40.407, median values: 0.20862, and quantile values: 0.25 0.062179\n0.50 0.208620\n0.75 0.860815\nName: 15519, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5556460014647797, std values: 4.893374760335147, min values: 3.0276e-06, max values: 39.666, median values: 0.26022, and quantile values: 0.25 0.069134\n0.50 0.260220\n0.75 0.970600\nName: 15520, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3593296851055723, std values: 4.8144330439289424, min values: 1.6106e-08, max values: 40.376, median values: 0.17854, and quantile values: 0.25 0.036891\n0.50 0.178540\n0.75 0.672595\nName: 15521, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7258710425208996, std values: 5.05882140898116, min values: 3.5023e-08, max values: 40.677, median values: 0.25252, and quantile values: 0.25 0.062413\n0.50 0.252520\n0.75 1.329200\nName: 15522, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5024729602163522, std values: 4.864888378988926, min values: 1.0296e-06, max values: 39.075, median values: 0.22572, and quantile values: 0.25 0.064967\n0.50 0.225720\n0.75 0.959195\nName: 15523, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3457001219605031, std values: 4.803531377164954, min values: 7.7992e-07, max values: 38.61, median values: 0.18148, and quantile values: 0.25 0.055172\n0.50 0.181480\n0.75 0.712915\nName: 15524, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.217141433483434, std values: 4.615485220538362, min values: 2.1856e-08, max values: 37.152, median values: 0.14221, and quantile values: 0.25 0.033963\n0.50 0.142210\n0.75 0.585510\nName: 15525, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4203694730836227, std values: 4.888108854595942, min values: 1.5487e-08, max values: 42.076, median values: 0.1646, and quantile values: 0.25 0.037476\n0.50 0.164600\n0.75 0.747045\nName: 15526, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3848733993132705, std values: 4.860149685280055, min values: 8.6921e-07, max values: 40.251, median values: 0.20205, and quantile values: 0.25 0.05586\n0.50 0.20205\n0.75 0.79469\nName: 15527, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5410458764226416, std values: 4.864548901548377, min values: 2.4617e-06, max values: 38.935, median values: 0.24732, and quantile values: 0.25 0.072993\n0.50 0.247320\n0.75 0.967310\nName: 15528, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6232877429547172, std values: 5.124427305330665, min values: 4.0813e-06, max values: 40.281, median values: 0.26602, and quantile values: 0.25 0.076333\n0.50 0.266020\n0.75 0.963210\nName: 15529, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7585662466943395, std values: 5.185228208778086, min values: 3.1763e-06, max values: 40.411, median values: 0.296, and quantile values: 0.25 0.089534\n0.50 0.296000\n0.75 1.172300\nName: 15530, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3812370408471069, std values: 4.747560111885835, min values: 5.9469e-07, max values: 38.059, median values: 0.20419, and quantile values: 0.25 0.059719\n0.50 0.204190\n0.75 0.778250\nName: 15531, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5270372431943393, std values: 5.215586879431898, min values: 3.0669e-06, max values: 43.166, median values: 0.24728, and quantile values: 0.25 0.061256\n0.50 0.247280\n0.75 0.875040\nName: 15532, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6885747566251574, std values: 5.1836736704474555, min values: 6.9534e-06, max values: 41.018, median values: 0.26742, and quantile values: 0.25 0.075167\n0.50 0.267420\n0.75 1.002780\nName: 15533, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5825160417471698, std values: 5.028650179191593, min values: 3.2363e-06, max values: 39.811, median values: 0.27861, and quantile values: 0.25 0.075387\n0.50 0.278610\n0.75 1.012615\nName: 15534, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6588740617144655, std values: 4.994335536234013, min values: 3.9752e-06, max values: 39.794, median values: 0.29743, and quantile values: 0.25 0.075874\n0.50 0.297430\n0.75 1.100300\nName: 15535, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4384807065679246, std values: 4.922596957254387, min values: 2.0545e-06, max values: 40.252, median values: 0.22248, and quantile values: 0.25 0.06206\n0.50 0.22248\n0.75 0.78684\nName: 15536, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4521515188238991, std values: 4.761777967834309, min values: 4.8654e-06, max values: 40.637, median values: 0.22488, and quantile values: 0.25 0.068918\n0.50 0.224880\n0.75 0.817325\nName: 15537, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4145268188415094, std values: 4.879522849830589, min values: 1.7602e-06, max values: 39.051, median values: 0.20643, and quantile values: 0.25 0.061911\n0.50 0.206430\n0.75 0.867690\nName: 15538, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3238300479890563, std values: 4.620059354623251, min values: 2.9237e-07, max values: 36.571, median values: 0.18239, and quantile values: 0.25 0.051251\n0.50 0.182390\n0.75 0.717980\nName: 15539, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4281297071056602, std values: 5.014362246374798, min values: 2.1095e-06, max values: 40.866, median values: 0.20071, and quantile values: 0.25 0.059182\n0.50 0.200710\n0.75 0.839255\nName: 15540, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5423721177207548, std values: 4.7044964231770106, min values: 3.85e-06, max values: 39.393, median values: 0.24344, and quantile values: 0.25 0.079319\n0.50 0.243440\n0.75 0.942755\nName: 15541, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3513985432851572, std values: 4.899699117091354, min values: 1.2337e-07, max values: 42.005, median values: 0.17149, and quantile values: 0.25 0.039678\n0.50 0.171490\n0.75 0.665960\nName: 15542, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.562464727888931, std values: 5.107142701254589, min values: 7.6354e-07, max values: 42.755, median values: 0.25776, and quantile values: 0.25 0.065561\n0.50 0.257760\n0.75 0.897595\nName: 15543, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.244152381607107, std values: 4.637943030398312, min values: 2.8283e-07, max values: 37.481, median values: 0.16528, and quantile values: 0.25 0.045071\n0.50 0.165280\n0.75 0.667910\nName: 15544, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4467707793999998, std values: 4.832186829659727, min values: 2.2946e-06, max values: 39.074, median values: 0.22348, and quantile values: 0.25 0.054595\n0.50 0.223480\n0.75 0.890925\nName: 15545, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4832101205384907, std values: 4.898572845366679, min values: 3.9722e-07, max values: 39.862, median values: 0.20845, and quantile values: 0.25 0.057923\n0.50 0.208450\n0.75 0.857025\nName: 15546, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.581419224491824, std values: 5.262258043708751, min values: 3.8815e-06, max values: 43.722, median values: 0.24445, and quantile values: 0.25 0.061907\n0.50 0.244450\n0.75 0.879450\nName: 15547, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5564265516389748, std values: 5.0248279060756, min values: 2.4087e-08, max values: 42.004, median values: 0.201, and quantile values: 0.25 0.055927\n0.50 0.201000\n0.75 1.011460\nName: 15548, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.329864845990566, std values: 4.868072584668879, min values: 2.0471e-06, max values: 39.236, median values: 0.20793, and quantile values: 0.25 0.055203\n0.50 0.207930\n0.75 0.747100\nName: 15549, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.528544235281132, std values: 4.745413512902707, min values: 1.1731e-06, max values: 38.727, median values: 0.26267, and quantile values: 0.25 0.068532\n0.50 0.262670\n0.75 0.997055\nName: 15550, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4482133817361007, std values: 5.0381486737952965, min values: 7.1904e-07, max values: 42.85, median values: 0.1977, and quantile values: 0.25 0.058519\n0.50 0.197700\n0.75 0.856165\nName: 15551, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.388634622228302, std values: 4.992520961108751, min values: 3.9197e-06, max values: 40.494, median values: 0.19738, and quantile values: 0.25 0.053897\n0.50 0.197380\n0.75 0.729105\nName: 15552, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5210880519522012, std values: 4.986347973089485, min values: 1.7301e-06, max values: 39.698, median values: 0.22605, and quantile values: 0.25 0.06334\n0.50 0.22605\n0.75 0.91639\nName: 15553, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4297324791352202, std values: 4.842472903166433, min values: 3.166e-07, max values: 39.429, median values: 0.19366, and quantile values: 0.25 0.051898\n0.50 0.193660\n0.75 0.835665\nName: 15554, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3285139342096226, std values: 4.807764144862347, min values: 1.8523e-07, max values: 39.657, median values: 0.1795, and quantile values: 0.25 0.041568\n0.50 0.179500\n0.75 0.661710\nName: 15555, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5935995736503146, std values: 5.251850603161866, min values: 1.2551e-06, max values: 45.297, median values: 0.20776, and quantile values: 0.25 0.058596\n0.50 0.207760\n0.75 0.944950\nName: 15556, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.477304487091195, std values: 4.864216510768288, min values: 1.3992e-06, max values: 38.546, median values: 0.22843, and quantile values: 0.25 0.066917\n0.50 0.228430\n0.75 0.831015\nName: 15557, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6247745660918236, std values: 5.339718525656739, min values: 9.4296e-06, max values: 42.054, median values: 0.19216, and quantile values: 0.25 0.073019\n0.50 0.192160\n0.75 0.792490\nName: 15558, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3559462878728616, std values: 4.800030758195446, min values: 1.9085e-08, max values: 39.147, median values: 0.17218, and quantile values: 0.25 0.048071\n0.50 0.172180\n0.75 0.793950\nName: 15559, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.469808646344654, std values: 5.047234103794982, min values: 5.0183e-06, max values: 40.471, median values: 0.24104, and quantile values: 0.25 0.072958\n0.50 0.241040\n0.75 0.820620\nName: 15560, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3721793613329056, std values: 4.748180549720995, min values: 1.7562e-08, max values: 37.941, median values: 0.16815, and quantile values: 0.25 0.048954\n0.50 0.168150\n0.75 0.757530\nName: 15561, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6765803049955974, std values: 5.956844548936532, min values: 2.0473e-06, max values: 56.885, median values: 0.25615, and quantile values: 0.25 0.067807\n0.50 0.256150\n0.75 1.085200\nName: 15562, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2543475656736667, std values: 4.756964059931496, min values: 2.2193e-08, max values: 39.538, median values: 0.16683, and quantile values: 0.25 0.034558\n0.50 0.166830\n0.75 0.656325\nName: 15563, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5257533765836477, std values: 5.02065792055481, min values: 1.1381e-06, max values: 40.95, median values: 0.25384, and quantile values: 0.25 0.060526\n0.50 0.253840\n0.75 0.914670\nName: 15564, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4645762578503143, std values: 4.849235935682016, min values: 1.2604e-06, max values: 39.099, median values: 0.21066, and quantile values: 0.25 0.059983\n0.50 0.210660\n0.75 0.885520\nName: 15565, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.741616613381132, std values: 5.322745332110377, min values: 6.3853e-06, max values: 41.758, median values: 0.29868, and quantile values: 0.25 0.07241\n0.50 0.29868\n0.75 1.10540\nName: 15566, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.33306840028239, std values: 4.634889587987733, min values: 5.0386e-06, max values: 40.664, median values: 0.17863, and quantile values: 0.25 0.057495\n0.50 0.178630\n0.75 0.703615\nName: 15567, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3245038929528303, std values: 4.912134889906343, min values: 2.2884e-06, max values: 39.742, median values: 0.18561, and quantile values: 0.25 0.055322\n0.50 0.185610\n0.75 0.673250\nName: 15568, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4531169444354717, std values: 4.850564164185764, min values: 6.5914e-07, max values: 39.029, median values: 0.21417, and quantile values: 0.25 0.062884\n0.50 0.214170\n0.75 0.910235\nName: 15569, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3000028667499373, std values: 4.758965932772345, min values: 8.5384e-07, max values: 38.442, median values: 0.1715, and quantile values: 0.25 0.054559\n0.50 0.171500\n0.75 0.715650\nName: 15570, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6942354128075474, std values: 5.239909415331844, min values: 1.4222e-06, max values: 43.673, median values: 0.25423, and quantile values: 0.25 0.077441\n0.50 0.254230\n0.75 1.111750\nName: 15571, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5642182419779875, std values: 5.1123501123511765, min values: 5.2994e-06, max values: 40.962, median values: 0.23794, and quantile values: 0.25 0.069421\n0.50 0.237940\n0.75 0.882390\nName: 15572, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7196118297503145, std values: 5.05873457373391, min values: 3.6922e-06, max values: 40.267, median values: 0.33526, and quantile values: 0.25 0.08040\n0.50 0.33526\n0.75 1.09215\nName: 15573, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4356510144777108, std values: 4.881854444944677, min values: 1.7683e-08, max values: 41.994, median values: 0.17156, and quantile values: 0.25 0.035731\n0.50 0.171560\n0.75 0.793940\nName: 15574, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5569118459792453, std values: 5.202440939303607, min values: 3.6245e-06, max values: 42.635, median values: 0.25165, and quantile values: 0.25 0.059876\n0.50 0.251650\n0.75 0.883600\nName: 15575, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4544731297427673, std values: 4.752566289587388, min values: 6.968e-07, max values: 37.832, median values: 0.24157, and quantile values: 0.25 0.062725\n0.50 0.241570\n0.75 0.873665\nName: 15576, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4613879563603773, std values: 4.87589429076431, min values: 1.0163e-06, max values: 39.359, median values: 0.2396, and quantile values: 0.25 0.065073\n0.50 0.239600\n0.75 0.895490\nName: 15577, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.502835482553459, std values: 4.727826890434673, min values: 2.9379e-06, max values: 39.155, median values: 0.25217, and quantile values: 0.25 0.072957\n0.50 0.252170\n0.75 0.949225\nName: 15578, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5742273646566038, std values: 5.080727394516643, min values: 3.8879e-06, max values: 40.481, median values: 0.235, and quantile values: 0.25 0.074569\n0.50 0.235000\n0.75 0.977805\nName: 15579, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3399213233927674, std values: 4.674684749148043, min values: 1.7695e-07, max values: 37.404, median values: 0.1759, and quantile values: 0.25 0.048004\n0.50 0.175900\n0.75 0.719910\nName: 15580, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.706588951437107, std values: 5.161933238817545, min values: 2.9979e-06, max values: 40.587, median values: 0.28489, and quantile values: 0.25 0.073097\n0.50 0.284890\n0.75 1.112235\nName: 15581, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5054677373350311, std values: 4.658626637385222, min values: 6.1367e-07, max values: 37.829, median values: 0.2302, and quantile values: 0.25 0.064181\n0.50 0.230200\n0.75 1.016950\nName: 15582, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.291622905785409, std values: 4.9981745475612165, min values: 7.2208e-07, max values: 42.93, median values: 0.17435, and quantile values: 0.25 0.047113\n0.50 0.174350\n0.75 0.618010\nName: 15583, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6561082356427672, std values: 5.211252593810338, min values: 4.4622e-06, max values: 41.675, median values: 0.28316, and quantile values: 0.25 0.078741\n0.50 0.283160\n0.75 0.940720\nName: 15584, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4815578771515723, std values: 5.062594491555189, min values: 3.5494e-06, max values: 40.364, median values: 0.22495, and quantile values: 0.25 0.060387\n0.50 0.224950\n0.75 0.880400\nName: 15585, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3776055626062895, std values: 4.789322318218672, min values: 2.6831e-06, max values: 39.831, median values: 0.20069, and quantile values: 0.25 0.059362\n0.50 0.200690\n0.75 0.755080\nName: 15586, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4276772670327296, std values: 5.005594099835157, min values: 1.9034e-08, max values: 43.11, median values: 0.17601, and quantile values: 0.25 0.041903\n0.50 0.176010\n0.75 0.726485\nName: 15587, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.439914668019497, std values: 5.172580241055124, min values: 1.0962e-06, max values: 45.047, median values: 0.2017, and quantile values: 0.25 0.057837\n0.50 0.201700\n0.75 0.814125\nName: 15588, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.36202407867556, std values: 4.817423947243097, min values: 2.2154e-08, max values: 39.781, median values: 0.17605, and quantile values: 0.25 0.050598\n0.50 0.176050\n0.75 0.810385\nName: 15589, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3395948996660378, std values: 4.887607316618166, min values: 1.5678e-06, max values: 39.912, median values: 0.17904, and quantile values: 0.25 0.05694\n0.50 0.17904\n0.75 0.74629\nName: 15590, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5518224155197484, std values: 4.966790527749507, min values: 7.6574e-07, max values: 40.473, median values: 0.22878, and quantile values: 0.25 0.06342\n0.50 0.22878\n0.75 1.00428\nName: 15591, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.483804462872327, std values: 4.819100865625642, min values: 1.9038e-06, max values: 38.735, median values: 0.23184, and quantile values: 0.25 0.064731\n0.50 0.231840\n0.75 0.948945\nName: 15592, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3760908717578615, std values: 5.016070716130106, min values: 6.4052e-06, max values: 41.7, median values: 0.1293, and quantile values: 0.25 0.047675\n0.50 0.129300\n0.75 0.565355\nName: 15593, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6253428150071005, std values: 5.271190281183464, min values: 1.8242e-08, max values: 47.857, median values: 0.21742, and quantile values: 0.25 0.039078\n0.50 0.217420\n0.75 1.046800\nName: 15594, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2710756615955976, std values: 4.787532803901565, min values: 3.778e-08, max values: 39.873, median values: 0.15974, and quantile values: 0.25 0.034433\n0.50 0.159740\n0.75 0.694340\nName: 15595, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4497919035266666, std values: 4.812892099692742, min values: 8.5414e-07, max values: 38.926, median values: 0.20418, and quantile values: 0.25 0.053759\n0.50 0.204180\n0.75 0.887720\nName: 15596, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.386200992755346, std values: 4.807801936225773, min values: 1.1119e-06, max values: 38.308, median values: 0.2037, and quantile values: 0.25 0.060756\n0.50 0.203700\n0.75 0.789520\nName: 15597, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5859943728515722, std values: 5.145850308544053, min values: 1.6912e-06, max values: 42.873, median values: 0.25635, and quantile values: 0.25 0.067179\n0.50 0.256350\n0.75 1.037050\nName: 15598, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5552612830163524, std values: 4.927509812455902, min values: 1.234e-06, max values: 38.806, median values: 0.2332, and quantile values: 0.25 0.069475\n0.50 0.233200\n0.75 1.014650\nName: 15599, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7206544897100629, std values: 4.996179093262481, min values: 1.0641e-06, max values: 39.201, median values: 0.32945, and quantile values: 0.25 0.081407\n0.50 0.329450\n0.75 1.216100\nName: 15600, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3918080099490568, std values: 4.844627205978307, min values: 2.7238e-06, max values: 39.879, median values: 0.20599, and quantile values: 0.25 0.060369\n0.50 0.205990\n0.75 0.759085\nName: 15601, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.549511319752201, std values: 4.8979748665894585, min values: 2.3884e-06, max values: 39.103, median values: 0.24082, and quantile values: 0.25 0.068381\n0.50 0.240820\n0.75 1.006165\nName: 15602, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5343484094924527, std values: 4.721159565341566, min values: 3.1556e-06, max values: 39.028, median values: 0.23658, and quantile values: 0.25 0.078325\n0.50 0.236580\n0.75 0.939040\nName: 15603, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5179001075045975, std values: 4.839163600234741, min values: 8.7971e-08, max values: 39.667, median values: 0.20932, and quantile values: 0.25 0.050090\n0.50 0.209320\n0.75 0.963775\nName: 15604, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.36994828226478, std values: 4.729325572622408, min values: 3.5882e-06, max values: 40.143, median values: 0.18197, and quantile values: 0.25 0.058146\n0.50 0.181970\n0.75 0.764935\nName: 15605, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2685519434908803, std values: 4.681317054611482, min values: 6.7715e-07, max values: 39.171, median values: 0.15083, and quantile values: 0.25 0.055113\n0.50 0.150830\n0.75 0.705865\nName: 15606, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2048994306079246, std values: 4.5469049883871815, min values: 6.5046e-07, max values: 38.298, median values: 0.14626, and quantile values: 0.25 0.047783\n0.50 0.146260\n0.75 0.642140\nName: 15607, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5798199788522014, std values: 5.010597159877767, min values: 2.5553e-06, max values: 39.608, median values: 0.25882, and quantile values: 0.25 0.069126\n0.50 0.258820\n0.75 0.996930\nName: 15608, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3633857922896226, std values: 4.850738750738467, min values: 2.8775e-07, max values: 39.311, median values: 0.18711, and quantile values: 0.25 0.054264\n0.50 0.187110\n0.75 0.789005\nName: 15609, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4080535112031447, std values: 4.945420966443511, min values: 1.0636e-06, max values: 40.436, median values: 0.22138, and quantile values: 0.25 0.059263\n0.50 0.221380\n0.75 0.737650\nName: 15610, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3650275752202266, std values: 4.690059573284129, min values: 1.5696e-08, max values: 38.201, median values: 0.18136, and quantile values: 0.25 0.040998\n0.50 0.181360\n0.75 0.725995\nName: 15611, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3730189242955975, std values: 4.684458567941871, min values: 2.303e-06, max values: 39.248, median values: 0.21022, and quantile values: 0.25 0.060319\n0.50 0.210220\n0.75 0.794960\nName: 15612, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5578119556, std values: 4.874844040683935, min values: 1.5023e-06, max values: 38.654, median values: 0.26473, and quantile values: 0.25 0.074753\n0.50 0.264730\n0.75 0.984950\nName: 15613, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.567261696472327, std values: 5.108306108080063, min values: 1.1517e-06, max values: 43.0, median values: 0.24232, and quantile values: 0.25 0.070442\n0.50 0.242320\n0.75 0.959245\nName: 15614, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6446221679194968, std values: 5.141007678277897, min values: 2.9616e-06, max values: 41.32, median values: 0.281, and quantile values: 0.25 0.075899\n0.50 0.281000\n0.75 1.058950\nName: 15615, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.377366293427673, std values: 4.8128966128384105, min values: 1.1051e-06, max values: 39.066, median values: 0.20872, and quantile values: 0.25 0.061948\n0.50 0.208720\n0.75 0.795850\nName: 15616, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7078373080842768, std values: 5.008991884045583, min values: 5.0987e-06, max values: 40.114, median values: 0.29354, and quantile values: 0.25 0.090518\n0.50 0.293540\n0.75 1.107900\nName: 15617, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.457302730795283, std values: 4.899598950577188, min values: 3.122e-07, max values: 40.58, median values: 0.2119, and quantile values: 0.25 0.059544\n0.50 0.211900\n0.75 0.826860\nName: 15618, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.482251960662893, std values: 4.93264649998932, min values: 4.5653e-06, max values: 40.862, median values: 0.22727, and quantile values: 0.25 0.063694\n0.50 0.227270\n0.75 0.803305\nName: 15619, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6893392557033964, std values: 5.246871679978445, min values: 7.8084e-07, max values: 44.573, median values: 0.26607, and quantile values: 0.25 0.075314\n0.50 0.266070\n0.75 1.130350\nName: 15620, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5846110671748426, std values: 5.181262032636208, min values: 2.0084e-06, max values: 43.798, median values: 0.26908, and quantile values: 0.25 0.071187\n0.50 0.269080\n0.75 1.020950\nName: 15621, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6588211626471696, std values: 5.168529845945993, min values: 1.7405e-06, max values: 42.757, median values: 0.26542, and quantile values: 0.25 0.072181\n0.50 0.265420\n0.75 1.034900\nName: 15622, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.533661409221321, std values: 4.97796422337734, min values: 8.1999e-07, max values: 39.836, median values: 0.21846, and quantile values: 0.25 0.062315\n0.50 0.218460\n0.75 0.991430\nName: 15623, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.622983432274843, std values: 5.006689595004824, min values: 2.9711e-06, max values: 39.327, median values: 0.286, and quantile values: 0.25 0.075526\n0.50 0.286000\n0.75 1.170850\nName: 15624, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5488013058484278, std values: 5.143144287050825, min values: 2.9013e-06, max values: 42.015, median values: 0.2404, and quantile values: 0.25 0.072201\n0.50 0.240400\n0.75 0.889440\nName: 15625, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6115144081069182, std values: 4.969704902347379, min values: 1.9365e-06, max values: 39.608, median values: 0.25363, and quantile values: 0.25 0.06985\n0.50 0.25363\n0.75 1.05260\nName: 15626, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4414088499078614, std values: 4.987412043909435, min values: 2.2175e-07, max values: 42.311, median values: 0.18892, and quantile values: 0.25 0.059299\n0.50 0.188920\n0.75 0.794700\nName: 15627, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7016627678121385, std values: 4.782187536968623, min values: 6.2443e-07, max values: 37.416, median values: 0.31892, and quantile values: 0.25 0.080594\n0.50 0.318920\n0.75 1.219200\nName: 15628, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4151558388660377, std values: 4.887011689001893, min values: 1.1935e-06, max values: 39.61, median values: 0.19645, and quantile values: 0.25 0.056041\n0.50 0.196450\n0.75 0.863285\nName: 15629, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3386789518206856, std values: 5.020653177869041, min values: 1.4539e-08, max values: 43.117, median values: 0.15569, and quantile values: 0.25 0.037699\n0.50 0.155690\n0.75 0.699505\nName: 15630, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.243560691237824, std values: 4.566856463777336, min values: 5.6964e-08, max values: 36.662, median values: 0.13778, and quantile values: 0.25 0.046916\n0.50 0.137780\n0.75 0.634590\nName: 15631, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3367671513490567, std values: 4.956820246290897, min values: 1.2595e-06, max values: 41.539, median values: 0.18145, and quantile values: 0.25 0.054846\n0.50 0.181450\n0.75 0.695025\nName: 15632, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5993005523974841, std values: 4.889040673261092, min values: 4.5795e-06, max values: 40.567, median values: 0.26204, and quantile values: 0.25 0.073198\n0.50 0.262040\n0.75 0.960270\nName: 15633, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5205911074421385, std values: 5.03240554362922, min values: 1.8259e-06, max values: 40.551, median values: 0.23096, and quantile values: 0.25 0.066279\n0.50 0.230960\n0.75 1.034800\nName: 15634, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.554035479944654, std values: 5.2099568853249885, min values: 3.8224e-06, max values: 42.69, median values: 0.24224, and quantile values: 0.25 0.069741\n0.50 0.242240\n0.75 0.936950\nName: 15635, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7365614485534588, std values: 5.18042600368964, min values: 1.1197e-06, max values: 42.86, median values: 0.30661, and quantile values: 0.25 0.078678\n0.50 0.306610\n0.75 1.238750\nName: 15636, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4886132388308175, std values: 4.964435909925351, min values: 2.1862e-06, max values: 39.854, median values: 0.22176, and quantile values: 0.25 0.066661\n0.50 0.221760\n0.75 0.957800\nName: 15637, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5093754418836478, std values: 4.903089539862644, min values: 4.2119e-06, max values: 40.544, median values: 0.24306, and quantile values: 0.25 0.072881\n0.50 0.243060\n0.75 0.907675\nName: 15638, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5488169918207546, std values: 5.074011463452044, min values: 2.3717e-06, max values: 40.769, median values: 0.22302, and quantile values: 0.25 0.070694\n0.50 0.223020\n0.75 0.958055\nName: 15639, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5614155952119497, std values: 4.9302705574643175, min values: 1.8102e-06, max values: 39.422, median values: 0.24044, and quantile values: 0.25 0.074061\n0.50 0.240440\n0.75 0.969605\nName: 15640, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4423471015207547, std values: 4.645987299851509, min values: 1.6193e-06, max values: 38.81, median values: 0.21698, and quantile values: 0.25 0.063539\n0.50 0.216980\n0.75 0.901135\nName: 15641, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.313359118727673, std values: 4.828109020361982, min values: 2.171e-07, max values: 40.24, median values: 0.17942, and quantile values: 0.25 0.048344\n0.50 0.179420\n0.75 0.658580\nName: 15642, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5060814434622642, std values: 5.091499302976477, min values: 2.1348e-06, max values: 41.622, median values: 0.24375, and quantile values: 0.25 0.064752\n0.50 0.243750\n0.75 0.874265\nName: 15643, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3965271804016355, std values: 4.897071513326755, min values: 3.7986e-07, max values: 40.437, median values: 0.20059, and quantile values: 0.25 0.051195\n0.50 0.200590\n0.75 0.774075\nName: 15644, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5124630587826415, std values: 4.935219319371179, min values: 7.4244e-07, max values: 40.46, median values: 0.25774, and quantile values: 0.25 0.063363\n0.50 0.257740\n0.75 0.956845\nName: 15645, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6054606760393082, std values: 4.824091152744115, min values: 8.4765e-07, max values: 38.094, median values: 0.27123, and quantile values: 0.25 0.070485\n0.50 0.271230\n0.75 1.140350\nName: 15646, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.333907902770566, std values: 5.0323796176353595, min values: 7.3262e-07, max values: 43.065, median values: 0.14876, and quantile values: 0.25 0.049505\n0.50 0.148760\n0.75 0.711400\nName: 15647, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.71571585696478, std values: 5.022325997398773, min values: 3.7899e-06, max values: 39.575, median values: 0.29166, and quantile values: 0.25 0.08850\n0.50 0.29166\n0.75 1.12280\nName: 15648, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3559929638069184, std values: 4.623179927637965, min values: 1.8786e-06, max values: 38.903, median values: 0.19031, and quantile values: 0.25 0.056945\n0.50 0.190310\n0.75 0.795665\nName: 15649, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5787901532094342, std values: 5.04597799443229, min values: 2.8287e-06, max values: 40.811, median values: 0.2138, and quantile values: 0.25 0.06279\n0.50 0.21380\n0.75 0.96090\nName: 15650, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4337981524415095, std values: 4.742684114873782, min values: 1.2392e-06, max values: 38.888, median values: 0.20844, and quantile values: 0.25 0.066749\n0.50 0.208440\n0.75 0.896360\nName: 15651, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.454267715668302, std values: 5.175212115163566, min values: 2.2884e-07, max values: 46.372, median values: 0.19742, and quantile values: 0.25 0.050311\n0.50 0.197420\n0.75 0.799750\nName: 15652, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1876129552949684, std values: 4.359784284686291, min values: 1.0149e-06, max values: 37.014, median values: 0.15345, and quantile values: 0.25 0.05202\n0.50 0.15345\n0.75 0.60718\nName: 15653, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.337818894018239, std values: 4.521209511519507, min values: 0.0, max values: 39.631, median values: 0.20284, and quantile values: 0.25 0.057008\n0.50 0.202840\n0.75 0.770275\nName: 15654, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3473331869025158, std values: 4.589938969681848, min values: 1.3958e-06, max values: 38.781, median values: 0.18612, and quantile values: 0.25 0.057584\n0.50 0.186120\n0.75 0.765075\nName: 15655, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5952074389761006, std values: 5.156218844379018, min values: 1.5996e-06, max values: 43.366, median values: 0.21627, and quantile values: 0.25 0.067143\n0.50 0.216270\n0.75 0.949360\nName: 15656, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4920770463981132, std values: 4.827631689667936, min values: 6.259e-07, max values: 38.618, median values: 0.20811, and quantile values: 0.25 0.063168\n0.50 0.208110\n0.75 0.964120\nName: 15657, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3400852402420378, std values: 4.60787473751795, min values: 1.9194e-08, max values: 36.431, median values: 0.18832, and quantile values: 0.25 0.046389\n0.50 0.188320\n0.75 0.790645\nName: 15658, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5577564740226413, std values: 5.051044723783814, min values: 1.6661e-06, max values: 41.359, median values: 0.23158, and quantile values: 0.25 0.066966\n0.50 0.231580\n0.75 1.024650\nName: 15659, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.413671038993082, std values: 5.120262848899246, min values: 2.3864e-06, max values: 41.951, median values: 0.20804, and quantile values: 0.25 0.056112\n0.50 0.208040\n0.75 0.689740\nName: 15660, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.569040407930189, std values: 4.89475986528167, min values: 2.0122e-06, max values: 39.685, median values: 0.25859, and quantile values: 0.25 0.069474\n0.50 0.258590\n0.75 1.036600\nName: 15661, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5993455921943396, std values: 5.200975275851627, min values: 4.9664e-06, max values: 41.516, median values: 0.25326, and quantile values: 0.25 0.071665\n0.50 0.253260\n0.75 0.959585\nName: 15662, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7108445504886791, std values: 4.951251797339532, min values: 2.6006e-06, max values: 38.284, median values: 0.28601, and quantile values: 0.25 0.088111\n0.50 0.286010\n0.75 1.216250\nName: 15663, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2394270509373586, std values: 4.892255684826411, min values: 7.1604e-07, max values: 41.288, median values: 0.13316, and quantile values: 0.25 0.044925\n0.50 0.133160\n0.75 0.647040\nName: 15664, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6470357085811322, std values: 4.983772058260188, min values: 1.669e-06, max values: 39.61, median values: 0.25213, and quantile values: 0.25 0.074371\n0.50 0.252130\n0.75 1.084850\nName: 15665, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8200842325140882, std values: 5.17388480418938, min values: 9.6454e-07, max values: 41.303, median values: 0.31253, and quantile values: 0.25 0.07501\n0.50 0.31253\n0.75 1.32755\nName: 15666, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2639920061106917, std values: 4.468062821381049, min values: 1.0354e-06, max values: 37.766, median values: 0.15177, and quantile values: 0.25 0.052761\n0.50 0.151770\n0.75 0.673060\nName: 15667, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6673474976150944, std values: 4.9269753303971635, min values: 2.9931e-06, max values: 39.273, median values: 0.27621, and quantile values: 0.25 0.07443\n0.50 0.27621\n0.75 1.13005\nName: 15668, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.545762428618868, std values: 5.027119331812844, min values: 1.307e-07, max values: 41.988, median values: 0.249, and quantile values: 0.25 0.064824\n0.50 0.249000\n0.75 0.983525\nName: 15669, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5164927312591194, std values: 4.77392810396586, min values: 4.9302e-06, max values: 39.846, median values: 0.23615, and quantile values: 0.25 0.07960\n0.50 0.23615\n0.75 0.92957\nName: 15670, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4357132638761008, std values: 4.900225486587025, min values: 1.2028e-06, max values: 39.967, median values: 0.21841, and quantile values: 0.25 0.060904\n0.50 0.218410\n0.75 0.776820\nName: 15671, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5212557157385533, std values: 4.721648162626249, min values: 5.4723e-07, max values: 36.896, median values: 0.2279, and quantile values: 0.25 0.071086\n0.50 0.227900\n0.75 0.936730\nName: 15672, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5772190221930817, std values: 5.11369766186971, min values: 1.1972e-06, max values: 42.748, median values: 0.24705, and quantile values: 0.25 0.070858\n0.50 0.247050\n0.75 1.001485\nName: 15673, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3045124213078616, std values: 4.829102771936285, min values: 0.0, max values: 39.168, median values: 0.17898, and quantile values: 0.25 0.047573\n0.50 0.178980\n0.75 0.684055\nName: 15674, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5109564708753458, std values: 4.7732632687249446, min values: 1.948e-08, max values: 37.443, median values: 0.23111, and quantile values: 0.25 0.065292\n0.50 0.231110\n0.75 0.988560\nName: 15675, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3259790906206856, std values: 4.700191034798081, min values: 1.5081e-08, max values: 38.954, median values: 0.15954, and quantile values: 0.25 0.036709\n0.50 0.159540\n0.75 0.641120\nName: 15676, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5178299320955975, std values: 5.09485000873129, min values: 2.702e-06, max values: 42.187, median values: 0.23585, and quantile values: 0.25 0.062523\n0.50 0.235850\n0.75 0.927035\nName: 15677, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4955600904215096, std values: 5.016742080521559, min values: 5.5522e-07, max values: 41.782, median values: 0.2054, and quantile values: 0.25 0.064707\n0.50 0.205400\n0.75 0.902375\nName: 15678, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7741891544163522, std values: 5.274864236913934, min values: 2.1266e-06, max values: 42.955, median values: 0.29501, and quantile values: 0.25 0.080153\n0.50 0.295010\n0.75 1.246200\nName: 15679, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5505587868932766, std values: 4.877016474890426, min values: 3.3531e-08, max values: 39.445, median values: 0.23179, and quantile values: 0.25 0.060055\n0.50 0.231790\n0.75 0.956785\nName: 15680, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.500399983391761, std values: 4.9030163595413825, min values: 5.5849e-07, max values: 40.32, median values: 0.23601, and quantile values: 0.25 0.066650\n0.50 0.236010\n0.75 0.965255\nName: 15681, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.579614047373585, std values: 4.864603894317183, min values: 1.9363e-06, max values: 38.953, median values: 0.25416, and quantile values: 0.25 0.077987\n0.50 0.254160\n0.75 1.025930\nName: 15682, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4023786672902894, std values: 4.781662835144859, min values: 2.1356e-08, max values: 38.673, median values: 0.20313, and quantile values: 0.25 0.054153\n0.50 0.203130\n0.75 0.856995\nName: 15683, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3498194442937108, std values: 4.832515959352515, min values: 4.487e-07, max values: 39.847, median values: 0.17345, and quantile values: 0.25 0.059605\n0.50 0.173450\n0.75 0.756520\nName: 15684, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5780645534576037, std values: 4.967357698713447, min values: 3.3799e-08, max values: 41.128, median values: 0.18327, and quantile values: 0.25 0.051593\n0.50 0.183270\n0.75 1.058450\nName: 15685, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6090056616044024, std values: 5.139402583752525, min values: 3.7267e-06, max values: 41.32, median values: 0.24676, and quantile values: 0.25 0.076376\n0.50 0.246760\n0.75 0.945620\nName: 15686, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7573727443647797, std values: 5.17238571483719, min values: 3.8619e-06, max values: 40.242, median values: 0.28122, and quantile values: 0.25 0.082069\n0.50 0.281220\n0.75 1.151500\nName: 15687, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.275288561004717, std values: 4.856371979232296, min values: 4.4291e-07, max values: 40.891, median values: 0.13841, and quantile values: 0.25 0.032685\n0.50 0.138410\n0.75 0.643965\nName: 15688, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5343981153339623, std values: 5.0338229835298245, min values: 2.7912e-06, max values: 40.278, median values: 0.24138, and quantile values: 0.25 0.073437\n0.50 0.241380\n0.75 0.932430\nName: 15689, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4488160025609433, std values: 4.8475754048513675, min values: 6.0209e-07, max values: 39.267, median values: 0.22291, and quantile values: 0.25 0.059324\n0.50 0.222910\n0.75 0.842645\nName: 15690, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3007619893044025, std values: 4.855180752523288, min values: 1.0642e-06, max values: 39.513, median values: 0.16598, and quantile values: 0.25 0.049991\n0.50 0.165980\n0.75 0.698890\nName: 15691, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4857125468572328, std values: 5.097396040674983, min values: 1.1932e-06, max values: 43.291, median values: 0.20779, and quantile values: 0.25 0.061461\n0.50 0.207790\n0.75 0.866885\nName: 15692, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6566797395238992, std values: 5.097277362484262, min values: 1.3194e-06, max values: 41.678, median values: 0.26306, and quantile values: 0.25 0.077093\n0.50 0.263060\n0.75 1.083750\nName: 15693, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5418889319584907, std values: 5.107727646959189, min values: 2.1542e-06, max values: 41.933, median values: 0.22853, and quantile values: 0.25 0.071749\n0.50 0.228530\n0.75 0.932860\nName: 15694, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5478788094616354, std values: 5.072189863214151, min values: 2.8865e-06, max values: 40.862, median values: 0.22273, and quantile values: 0.25 0.061891\n0.50 0.222730\n0.75 0.937170\nName: 15695, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.336453997288679, std values: 4.745587563774143, min values: 1.3672e-06, max values: 38.301, median values: 0.20001, and quantile values: 0.25 0.062409\n0.50 0.200010\n0.75 0.741970\nName: 15696, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5034393955195724, std values: 4.863310262058851, min values: 9.6312e-08, max values: 40.062, median values: 0.21605, and quantile values: 0.25 0.055231\n0.50 0.216050\n0.75 0.976480\nName: 15697, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4676257774698742, std values: 4.825638119645746, min values: 2.2038e-07, max values: 39.14, median values: 0.18012, and quantile values: 0.25 0.050555\n0.50 0.180120\n0.75 0.805910\nName: 15698, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9844274536069182, std values: 5.886843622518665, min values: 5.125e-06, max values: 51.664, median values: 0.31596, and quantile values: 0.25 0.092118\n0.50 0.315960\n0.75 1.319600\nName: 15699, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3375163280477986, std values: 4.844406730908831, min values: 4.868e-06, max values: 40.542, median values: 0.18135, and quantile values: 0.25 0.049170\n0.50 0.181350\n0.75 0.648935\nName: 15700, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.718878796320126, std values: 5.165961274052371, min values: 3.2114e-06, max values: 40.492, median values: 0.33409, and quantile values: 0.25 0.080739\n0.50 0.334090\n0.75 1.101150\nName: 15701, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4909959071569185, std values: 4.718944941972348, min values: 8.0105e-07, max values: 37.833, median values: 0.2423, and quantile values: 0.25 0.064233\n0.50 0.242300\n0.75 0.950415\nName: 15702, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.397392778444088, std values: 4.896656355473947, min values: 6.7021e-07, max values: 39.921, median values: 0.20523, and quantile values: 0.25 0.052228\n0.50 0.205230\n0.75 0.827455\nName: 15703, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4251953942194966, std values: 4.741354375900895, min values: 4.9169e-06, max values: 40.318, median values: 0.23306, and quantile values: 0.25 0.070728\n0.50 0.233060\n0.75 0.823135\nName: 15704, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.290230294791434, std values: 4.536642559793489, min values: 2.5308e-08, max values: 36.304, median values: 0.17286, and quantile values: 0.25 0.043938\n0.50 0.172860\n0.75 0.738300\nName: 15705, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.649786905854717, std values: 5.335393238991691, min values: 2.5732e-06, max values: 45.512, median values: 0.27064, and quantile values: 0.25 0.074509\n0.50 0.270640\n0.75 1.049850\nName: 15706, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4530939791981132, std values: 4.8481220632900195, min values: 1.125e-06, max values: 38.586, median values: 0.21826, and quantile values: 0.25 0.064829\n0.50 0.218260\n0.75 0.859685\nName: 15707, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6047192857893082, std values: 4.97719940897958, min values: 1.7656e-06, max values: 39.573, median values: 0.29313, and quantile values: 0.25 0.070035\n0.50 0.293130\n0.75 1.035265\nName: 15708, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5133081438238996, std values: 4.98859099881633, min values: 3.1013e-06, max values: 39.855, median values: 0.25314, and quantile values: 0.25 0.066494\n0.50 0.253140\n0.75 0.941835\nName: 15709, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3451326951031448, std values: 4.9290707429809855, min values: 2.4597e-06, max values: 40.394, median values: 0.19779, and quantile values: 0.25 0.056954\n0.50 0.197790\n0.75 0.679835\nName: 15710, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6110547831056603, std values: 5.018353353181261, min values: 2.8056e-06, max values: 39.641, median values: 0.24742, and quantile values: 0.25 0.075757\n0.50 0.247420\n0.75 1.049200\nName: 15711, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4904608855238364, std values: 5.0763933289919425, min values: 6.9949e-07, max values: 42.249, median values: 0.18883, and quantile values: 0.25 0.055108\n0.50 0.188830\n0.75 0.822200\nName: 15712, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3913040938106918, std values: 4.825162759039114, min values: 1.0639e-06, max values: 39.157, median values: 0.18008, and quantile values: 0.25 0.050232\n0.50 0.180080\n0.75 0.794375\nName: 15713, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5970351463415093, std values: 5.001440343453078, min values: 5.242e-06, max values: 39.934, median values: 0.24926, and quantile values: 0.25 0.075216\n0.50 0.249260\n0.75 1.011625\nName: 15714, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3658837062277989, std values: 4.763497982914781, min values: 5.5332e-07, max values: 38.5, median values: 0.21465, and quantile values: 0.25 0.050602\n0.50 0.214650\n0.75 0.758245\nName: 15715, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4932444349339622, std values: 4.893102476487444, min values: 3.2767e-06, max values: 39.3, median values: 0.23099, and quantile values: 0.25 0.068135\n0.50 0.230990\n0.75 0.886755\nName: 15716, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3037673553191824, std values: 4.572896347706257, min values: 8.9745e-07, max values: 38.218, median values: 0.18065, and quantile values: 0.25 0.055744\n0.50 0.180650\n0.75 0.773485\nName: 15717, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.497934526865346, std values: 4.936400764697719, min values: 6.3479e-07, max values: 40.32, median values: 0.18528, and quantile values: 0.25 0.062662\n0.50 0.185280\n0.75 0.843120\nName: 15718, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.428821601744025, std values: 4.878453936842454, min values: 1.4458e-06, max values: 39.15, median values: 0.22302, and quantile values: 0.25 0.063068\n0.50 0.223020\n0.75 0.863995\nName: 15719, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6046900183517612, std values: 4.623096300780947, min values: 9.7923e-07, max values: 37.929, median values: 0.26456, and quantile values: 0.25 0.071999\n0.50 0.264560\n0.75 1.148300\nName: 15720, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4903883315610063, std values: 4.70959209171766, min values: 1.1164e-06, max values: 37.765, median values: 0.23302, and quantile values: 0.25 0.070849\n0.50 0.233020\n0.75 0.934400\nName: 15721, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4021041412213835, std values: 4.91246354115135, min values: 1.4898e-06, max values: 39.563, median values: 0.21133, and quantile values: 0.25 0.059510\n0.50 0.211330\n0.75 0.799755\nName: 15722, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4133745034301886, std values: 5.011886338253511, min values: 2.8341e-06, max values: 40.605, median values: 0.19734, and quantile values: 0.25 0.062379\n0.50 0.197340\n0.75 0.754155\nName: 15723, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3606610223606919, std values: 4.8965662188683945, min values: 2.9195e-07, max values: 40.359, median values: 0.16908, and quantile values: 0.25 0.045072\n0.50 0.169080\n0.75 0.792585\nName: 15724, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3217270640572327, std values: 4.797285537564516, min values: 1.6535e-06, max values: 39.501, median values: 0.20011, and quantile values: 0.25 0.053649\n0.50 0.200110\n0.75 0.692595\nName: 15725, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6342437622119497, std values: 4.926586119161318, min values: 3.541e-07, max values: 39.191, median values: 0.2685, and quantile values: 0.25 0.06660\n0.50 0.26850\n0.75 1.13465\nName: 15726, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5630305254735848, std values: 5.376404424359997, min values: 3.1984e-06, max values: 46.492, median values: 0.23369, and quantile values: 0.25 0.070537\n0.50 0.233690\n0.75 0.884540\nName: 15727, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4071330135024527, std values: 4.907387537214206, min values: 6.9179e-07, max values: 40.077, median values: 0.22301, and quantile values: 0.25 0.065155\n0.50 0.223010\n0.75 0.733660\nName: 15728, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.296584587816604, std values: 4.791180883593174, min values: 4.9964e-07, max values: 39.239, median values: 0.18686, and quantile values: 0.25 0.052071\n0.50 0.186860\n0.75 0.689650\nName: 15729, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4010357844226415, std values: 4.856332028437423, min values: 1.4758e-06, max values: 38.896, median values: 0.19995, and quantile values: 0.25 0.060018\n0.50 0.199950\n0.75 0.835030\nName: 15730, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7364635156128303, std values: 5.113557783292311, min values: 9.3264e-07, max values: 41.161, median values: 0.27259, and quantile values: 0.25 0.077369\n0.50 0.272590\n0.75 1.261850\nName: 15731, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6457782961767293, std values: 5.060338883539116, min values: 3.3187e-06, max values: 40.152, median values: 0.24565, and quantile values: 0.25 0.064884\n0.50 0.245650\n0.75 1.140800\nName: 15732, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3510905975579874, std values: 4.727953777294144, min values: 5.7423e-07, max values: 37.818, median values: 0.1788, and quantile values: 0.25 0.048248\n0.50 0.178800\n0.75 0.660375\nName: 15733, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3717326958628933, std values: 4.6128362734815385, min values: 1.6217e-06, max values: 38.386, median values: 0.21103, and quantile values: 0.25 0.060139\n0.50 0.211030\n0.75 0.825925\nName: 15734, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5413328376427673, std values: 4.900302166645041, min values: 2.8004e-06, max values: 39.48, median values: 0.23451, and quantile values: 0.25 0.077360\n0.50 0.234510\n0.75 0.944845\nName: 15735, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.571841119681132, std values: 4.82006368179351, min values: 2.7176e-06, max values: 39.903, median values: 0.24961, and quantile values: 0.25 0.066375\n0.50 0.249610\n0.75 1.024300\nName: 15736, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4002719950271068, std values: 4.799372746364847, min values: 2.5426e-07, max values: 39.502, median values: 0.21961, and quantile values: 0.25 0.051656\n0.50 0.219610\n0.75 0.784675\nName: 15737, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7447355822101254, std values: 5.125490790250098, min values: 9.8061e-07, max values: 41.846, median values: 0.32559, and quantile values: 0.25 0.08519\n0.50 0.32559\n0.75 1.21455\nName: 15738, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5332668328169812, std values: 4.963006646878241, min values: 4.7222e-06, max values: 41.023, median values: 0.24492, and quantile values: 0.25 0.061756\n0.50 0.244920\n0.75 0.845200\nName: 15739, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2147199489268554, std values: 4.672282416025509, min values: 2.6543e-07, max values: 37.931, median values: 0.15246, and quantile values: 0.25 0.045406\n0.50 0.152460\n0.75 0.653965\nName: 15740, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4624114717956604, std values: 4.863656294912904, min values: 8.7261e-07, max values: 38.853, median values: 0.22166, and quantile values: 0.25 0.063586\n0.50 0.221660\n0.75 0.899340\nName: 15741, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.697023660109434, std values: 5.057813549168, min values: 3.1835e-06, max values: 39.27, median values: 0.29054, and quantile values: 0.25 0.086372\n0.50 0.290540\n0.75 1.090850\nName: 15742, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3868769087660378, std values: 4.911412369266398, min values: 2.2123e-06, max values: 39.56, median values: 0.1931, and quantile values: 0.25 0.056866\n0.50 0.193100\n0.75 0.790745\nName: 15743, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3990550789866667, std values: 4.63938257852426, min values: 7.0968e-07, max values: 38.186, median values: 0.20459, and quantile values: 0.25 0.061472\n0.50 0.204590\n0.75 0.817735\nName: 15744, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4791957027487421, std values: 4.93076614934828, min values: 6.7355e-07, max values: 40.281, median values: 0.22849, and quantile values: 0.25 0.062112\n0.50 0.228490\n0.75 0.934860\nName: 15745, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.534118031738365, std values: 5.008778284167271, min values: 1.7899e-06, max values: 40.645, median values: 0.26415, and quantile values: 0.25 0.066631\n0.50 0.264150\n0.75 0.912530\nName: 15746, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2764333398325156, std values: 4.440549426125575, min values: 9.57e-08, max values: 36.839, median values: 0.15747, and quantile values: 0.25 0.047918\n0.50 0.157470\n0.75 0.709830\nName: 15747, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6874144983599997, std values: 4.935861675996227, min values: 9.0914e-07, max values: 38.316, median values: 0.30999, and quantile values: 0.25 0.075078\n0.50 0.309990\n0.75 1.176400\nName: 15748, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5305465051535219, std values: 4.85958567797205, min values: 5.1281e-07, max values: 39.164, median values: 0.27131, and quantile values: 0.25 0.062075\n0.50 0.271310\n0.75 1.018250\nName: 15749, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3012182936996226, std values: 4.820937831457617, min values: 3.5343e-07, max values: 41.098, median values: 0.18111, and quantile values: 0.25 0.045243\n0.50 0.181110\n0.75 0.715995\nName: 15750, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5421930585553458, std values: 4.813547055079455, min values: 3.1438e-06, max values: 39.21, median values: 0.24801, and quantile values: 0.25 0.074158\n0.50 0.248010\n0.75 1.032100\nName: 15751, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3920975881071698, std values: 4.818124841680669, min values: 2.545e-07, max values: 39.592, median values: 0.20146, and quantile values: 0.25 0.049577\n0.50 0.201460\n0.75 0.793410\nName: 15752, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4717072793238992, std values: 4.946459925003618, min values: 2.6098e-06, max values: 39.449, median values: 0.2153, and quantile values: 0.25 0.068089\n0.50 0.215300\n0.75 0.869300\nName: 15753, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3880968429647547, std values: 4.5974278204817685, min values: 3.6586e-08, max values: 36.565, median values: 0.19773, and quantile values: 0.25 0.046547\n0.50 0.197730\n0.75 0.829755\nName: 15754, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3491520628761005, std values: 4.795570356519158, min values: 1.4693e-06, max values: 38.937, median values: 0.18018, and quantile values: 0.25 0.058676\n0.50 0.180180\n0.75 0.758745\nName: 15755, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4993161065234213, std values: 5.036890377378929, min values: 2.2814e-08, max values: 43.379, median values: 0.19188, and quantile values: 0.25 0.044595\n0.50 0.191880\n0.75 0.822935\nName: 15756, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4359778266484275, std values: 4.679709825357856, min values: 1.4912e-06, max values: 37.883, median values: 0.22961, and quantile values: 0.25 0.067828\n0.50 0.229610\n0.75 0.875330\nName: 15757, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3115857227565408, std values: 4.856415636007859, min values: 3.3789e-07, max values: 41.094, median values: 0.16245, and quantile values: 0.25 0.052827\n0.50 0.162450\n0.75 0.712025\nName: 15758, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.497910206007547, std values: 4.774873812883782, min values: 2.3825e-06, max values: 39.92, median values: 0.2251, and quantile values: 0.25 0.069721\n0.50 0.225100\n0.75 0.924340\nName: 15759, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5820008768650313, std values: 4.947366092276928, min values: 8.0644e-07, max values: 40.332, median values: 0.28455, and quantile values: 0.25 0.063906\n0.50 0.284550\n0.75 1.001680\nName: 15760, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1931312461374213, std values: 4.7320699145480045, min values: 4.4025e-07, max values: 38.1, median values: 0.14518, and quantile values: 0.25 0.043922\n0.50 0.145180\n0.75 0.558815\nName: 15761, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.517572277445157, std values: 5.083715141878462, min values: 6.5238e-07, max values: 43.047, median values: 0.20708, and quantile values: 0.25 0.057565\n0.50 0.207080\n0.75 0.883375\nName: 15762, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7373092746820125, std values: 5.135350534755467, min values: 5.4354e-07, max values: 42.481, median values: 0.27211, and quantile values: 0.25 0.075481\n0.50 0.272110\n0.75 1.202000\nName: 15763, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.709209453744214, std values: 5.036472493615624, min values: 5.2123e-07, max values: 40.284, median values: 0.274, and quantile values: 0.25 0.070678\n0.50 0.274000\n0.75 1.267200\nName: 15764, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4160819618578617, std values: 4.781540704290972, min values: 1.0874e-06, max values: 38.808, median values: 0.21115, and quantile values: 0.25 0.055774\n0.50 0.211150\n0.75 0.764250\nName: 15765, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4637543995867928, std values: 4.906280504544041, min values: 5.718e-07, max values: 40.168, median values: 0.24102, and quantile values: 0.25 0.061741\n0.50 0.241020\n0.75 0.910710\nName: 15766, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3199190346403773, std values: 4.606321977105975, min values: 5.2502e-07, max values: 37.509, median values: 0.1867, and quantile values: 0.25 0.056014\n0.50 0.186700\n0.75 0.746625\nName: 15767, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4475946221440883, std values: 4.640056298781504, min values: 5.5841e-07, max values: 37.451, median values: 0.22992, and quantile values: 0.25 0.060832\n0.50 0.229920\n0.75 0.884265\nName: 15768, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3644415366665847, std values: 4.742256759608788, min values: 2.3187e-08, max values: 37.833, median values: 0.20104, and quantile values: 0.25 0.054158\n0.50 0.201040\n0.75 0.762360\nName: 15769, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4859860167094339, std values: 4.996866235752838, min values: 3.8777e-06, max values: 40.282, median values: 0.20882, and quantile values: 0.25 0.069874\n0.50 0.208820\n0.75 0.832145\nName: 15770, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2671287518705032, std values: 4.629872373769838, min values: 2.3176e-07, max values: 37.482, median values: 0.17794, and quantile values: 0.25 0.047067\n0.50 0.177940\n0.75 0.732215\nName: 15771, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5422277218603773, std values: 5.0072669540233985, min values: 1.3388e-06, max values: 40.967, median values: 0.2199, and quantile values: 0.25 0.06929\n0.50 0.21990\n0.75 0.96956\nName: 15772, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7737874411415095, std values: 5.4209696095741124, min values: 8.1345e-06, max values: 42.304, median values: 0.28609, and quantile values: 0.25 0.079925\n0.50 0.286090\n0.75 1.068250\nName: 15773, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5070234135440252, std values: 5.069587018851711, min values: 4.893e-07, max values: 43.415, median values: 0.18409, and quantile values: 0.25 0.05880\n0.50 0.18409\n0.75 0.85275\nName: 15774, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6587865256522012, std values: 5.050173432556103, min values: 3.4211e-06, max values: 40.163, median values: 0.25524, and quantile values: 0.25 0.080174\n0.50 0.255240\n0.75 1.115400\nName: 15775, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1501433620840502, std values: 4.480533636408983, min values: 1.7404e-08, max values: 36.415, median values: 0.10976, and quantile values: 0.25 0.027447\n0.50 0.109760\n0.75 0.555375\nName: 15776, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5006658839459117, std values: 4.926950151026619, min values: 2.7601e-06, max values: 40.004, median values: 0.21286, and quantile values: 0.25 0.064464\n0.50 0.212860\n0.75 0.891200\nName: 15777, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4782230896138364, std values: 4.98749981376552, min values: 1.4796e-06, max values: 40.511, median values: 0.21925, and quantile values: 0.25 0.063442\n0.50 0.219250\n0.75 0.943760\nName: 15778, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5036281495402517, std values: 5.070113523269171, min values: 1.2813e-06, max values: 42.541, median values: 0.22659, and quantile values: 0.25 0.063526\n0.50 0.226590\n0.75 0.913935\nName: 15779, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5919683421808177, std values: 5.0888343038631385, min values: 6.2925e-07, max values: 42.992, median values: 0.25881, and quantile values: 0.25 0.063578\n0.50 0.258810\n0.75 1.045800\nName: 15780, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4620179123190566, std values: 4.822581141778441, min values: 2.2311e-07, max values: 39.231, median values: 0.21253, and quantile values: 0.25 0.047926\n0.50 0.212530\n0.75 0.846285\nName: 15781, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4467406491773585, std values: 4.8729869157637715, min values: 6.132e-07, max values: 39.434, median values: 0.2325, and quantile values: 0.25 0.057104\n0.50 0.232500\n0.75 0.865780\nName: 15782, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.570338563583019, std values: 4.988724125785527, min values: 2.8545e-06, max values: 40.159, median values: 0.26242, and quantile values: 0.25 0.066781\n0.50 0.262420\n0.75 0.960505\nName: 15783, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5117159956603774, std values: 4.782816498013898, min values: 7.974e-07, max values: 37.841, median values: 0.25578, and quantile values: 0.25 0.068793\n0.50 0.255780\n0.75 0.993960\nName: 15784, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.69211044028239, std values: 5.260818200569095, min values: 3.828e-06, max values: 42.726, median values: 0.29315, and quantile values: 0.25 0.083429\n0.50 0.293150\n0.75 1.015800\nName: 15785, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4828249423295596, std values: 5.099156375802, min values: 2.5044e-06, max values: 41.976, median values: 0.22122, and quantile values: 0.25 0.071334\n0.50 0.221220\n0.75 0.815950\nName: 15786, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5260690233981133, std values: 4.900081380835683, min values: 1.6734e-06, max values: 39.057, median values: 0.23677, and quantile values: 0.25 0.067989\n0.50 0.236770\n0.75 0.977880\nName: 15787, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5754765300610063, std values: 5.201477365503006, min values: 4.4579e-06, max values: 42.219, median values: 0.24372, and quantile values: 0.25 0.068611\n0.50 0.243720\n0.75 0.964610\nName: 15788, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3985932146529558, std values: 4.887901083607543, min values: 8.7262e-07, max values: 39.983, median values: 0.20624, and quantile values: 0.25 0.058456\n0.50 0.206240\n0.75 0.825250\nName: 15789, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4659186773637105, std values: 5.043423212800159, min values: 7.7913e-07, max values: 43.229, median values: 0.23778, and quantile values: 0.25 0.066763\n0.50 0.237780\n0.75 0.855990\nName: 15790, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4487074738232706, std values: 4.782986881576235, min values: 1.496e-06, max values: 39.584, median values: 0.22304, and quantile values: 0.25 0.062336\n0.50 0.223040\n0.75 0.799300\nName: 15791, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6047528826540878, std values: 4.705110414520096, min values: 2.2616e-06, max values: 39.581, median values: 0.30756, and quantile values: 0.25 0.080122\n0.50 0.307560\n0.75 1.088000\nName: 15792, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6188533784955976, std values: 5.397372297329038, min values: 3.0588e-06, max values: 46.551, median values: 0.27547, and quantile values: 0.25 0.065893\n0.50 0.275470\n0.75 0.942960\nName: 15793, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4380034711561072, std values: 4.966876953578513, min values: 2.9381e-08, max values: 42.869, median values: 0.19875, and quantile values: 0.25 0.041593\n0.50 0.198750\n0.75 0.762065\nName: 15794, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6898551133654087, std values: 5.116549907754168, min values: 5.4185e-06, max values: 40.519, median values: 0.28926, and quantile values: 0.25 0.085342\n0.50 0.289260\n0.75 1.034700\nName: 15795, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5035146290325787, std values: 4.782025479212746, min values: 8.3928e-07, max values: 38.762, median values: 0.20852, and quantile values: 0.25 0.064354\n0.50 0.208520\n0.75 0.936385\nName: 15796, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3553540102320756, std values: 5.05420296303885, min values: 2.961e-06, max values: 41.598, median values: 0.19579, and quantile values: 0.25 0.059642\n0.50 0.195790\n0.75 0.677685\nName: 15797, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6024171526245283, std values: 4.748465842739998, min values: 2.4655e-06, max values: 39.188, median values: 0.24928, and quantile values: 0.25 0.073580\n0.50 0.249280\n0.75 1.042665\nName: 15798, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4486567644190567, std values: 4.677778352453224, min values: 3.8953e-07, max values: 37.101, median values: 0.2115, and quantile values: 0.25 0.059605\n0.50 0.211500\n0.75 0.895140\nName: 15799, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7894078293849058, std values: 5.345414859433855, min values: 2.45e-06, max values: 44.408, median values: 0.3024, and quantile values: 0.25 0.080079\n0.50 0.302400\n0.75 1.239250\nName: 15800, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5034217256416353, std values: 4.996370156274312, min values: 1.2022e-07, max values: 42.465, median values: 0.2249, and quantile values: 0.25 0.051153\n0.50 0.224900\n0.75 0.867725\nName: 15801, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.563021162861824, std values: 4.918897940268124, min values: 9.7463e-07, max values: 40.151, median values: 0.27222, and quantile values: 0.25 0.070234\n0.50 0.272220\n0.75 1.073350\nName: 15802, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5117559284037736, std values: 4.900851320881118, min values: 2.8489e-06, max values: 39.218, median values: 0.24137, and quantile values: 0.25 0.064847\n0.50 0.241370\n0.75 0.957105\nName: 15803, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4456759293280503, std values: 4.861876316368733, min values: 8.3516e-07, max values: 38.865, median values: 0.22705, and quantile values: 0.25 0.054262\n0.50 0.227050\n0.75 0.862625\nName: 15804, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3896001444669812, std values: 4.820963683286777, min values: 2.4105e-07, max values: 39.711, median values: 0.1763, and quantile values: 0.25 0.053923\n0.50 0.176300\n0.75 0.798785\nName: 15805, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4552922052347796, std values: 4.825930679970865, min values: 5.6263e-07, max values: 38.485, median values: 0.19924, and quantile values: 0.25 0.058126\n0.50 0.199240\n0.75 0.868870\nName: 15806, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4579757835246543, std values: 4.737818689183812, min values: 1.963e-08, max values: 37.619, median values: 0.19502, and quantile values: 0.25 0.047415\n0.50 0.195020\n0.75 0.829610\nName: 15807, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4979933447962264, std values: 4.816076260302896, min values: 1.4811e-06, max values: 38.637, median values: 0.23987, and quantile values: 0.25 0.072072\n0.50 0.239870\n0.75 0.961855\nName: 15808, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6535814056842766, std values: 5.2286299645491265, min values: 3.9427e-06, max values: 42.141, median values: 0.26218, and quantile values: 0.25 0.085686\n0.50 0.262180\n0.75 1.023500\nName: 15809, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5023027946584904, std values: 4.931899066934347, min values: 1.9111e-06, max values: 39.973, median values: 0.22417, and quantile values: 0.25 0.059743\n0.50 0.224170\n0.75 0.929550\nName: 15810, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4891770319056603, std values: 4.778359199804849, min values: 1.0244e-06, max values: 38.782, median values: 0.23867, and quantile values: 0.25 0.057632\n0.50 0.238670\n0.75 0.995000\nName: 15811, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6532757663213837, std values: 5.267871823738715, min values: 1.126e-06, max values: 45.192, median values: 0.28307, and quantile values: 0.25 0.068824\n0.50 0.283070\n0.75 1.104750\nName: 15812, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3792393006349057, std values: 4.886690680632082, min values: 3.9145e-07, max values: 40.419, median values: 0.19387, and quantile values: 0.25 0.053135\n0.50 0.193870\n0.75 0.751640\nName: 15813, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.517230162634591, std values: 5.065999758985331, min values: 1.4307e-06, max values: 41.954, median values: 0.23892, and quantile values: 0.25 0.065516\n0.50 0.238920\n0.75 0.870220\nName: 15814, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5281144658232704, std values: 5.001940491098114, min values: 2.8289e-06, max values: 40.077, median values: 0.24147, and quantile values: 0.25 0.069688\n0.50 0.241470\n0.75 0.930350\nName: 15815, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3219626837273584, std values: 4.867829859385382, min values: 2.8425e-07, max values: 41.182, median values: 0.17811, and quantile values: 0.25 0.047788\n0.50 0.178110\n0.75 0.685575\nName: 15816, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3630423577301887, std values: 4.911902064943861, min values: 2.0578e-06, max values: 39.464, median values: 0.19938, and quantile values: 0.25 0.060108\n0.50 0.199380\n0.75 0.733240\nName: 15817, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4432476851987421, std values: 4.687834770815861, min values: 1.6793e-06, max values: 38.808, median values: 0.22034, and quantile values: 0.25 0.057740\n0.50 0.220340\n0.75 0.912705\nName: 15818, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4494203800223269, std values: 4.649606129135885, min values: 7.4275e-07, max values: 37.982, median values: 0.1949, and quantile values: 0.25 0.058267\n0.50 0.194900\n0.75 0.901160\nName: 15819, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7306484245421383, std values: 5.126713694323987, min values: 1.671e-06, max values: 41.018, median values: 0.33928, and quantile values: 0.25 0.080308\n0.50 0.339280\n0.75 1.207300\nName: 15820, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.226610302306541, std values: 4.543022864909679, min values: 2.0514e-07, max values: 37.647, median values: 0.13275, and quantile values: 0.25 0.041335\n0.50 0.132750\n0.75 0.686425\nName: 15821, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.390320403252264, std values: 4.539692235872464, min values: 2.9071e-07, max values: 36.777, median values: 0.19078, and quantile values: 0.25 0.055045\n0.50 0.190780\n0.75 0.829295\nName: 15822, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3992029065289306, std values: 4.572749847385488, min values: 1.1522e-06, max values: 38.794, median values: 0.1893, and quantile values: 0.25 0.059596\n0.50 0.189300\n0.75 0.811625\nName: 15823, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5046706055113208, std values: 5.070385056858452, min values: 4.6702e-06, max values: 40.388, median values: 0.23405, and quantile values: 0.25 0.066244\n0.50 0.234050\n0.75 0.791645\nName: 15824, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7508413553698112, std values: 5.171903910164084, min values: 4.6498e-06, max values: 40.04, median values: 0.30319, and quantile values: 0.25 0.089137\n0.50 0.303190\n0.75 1.148350\nName: 15825, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5528375617616352, std values: 4.7931859890394914, min values: 1.6016e-06, max values: 38.416, median values: 0.2599, and quantile values: 0.25 0.073458\n0.50 0.259900\n0.75 0.958245\nName: 15826, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5647112271911952, std values: 4.911867705795856, min values: 1.2485e-06, max values: 39.278, median values: 0.27548, and quantile values: 0.25 0.074617\n0.50 0.275480\n0.75 1.022800\nName: 15827, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.418469644310692, std values: 4.858234374082217, min values: 1.4251e-06, max values: 38.77, median values: 0.19635, and quantile values: 0.25 0.064924\n0.50 0.196350\n0.75 0.853265\nName: 15828, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5383450379587424, std values: 4.936567303672687, min values: 3.9194e-07, max values: 40.424, median values: 0.22881, and quantile values: 0.25 0.059021\n0.50 0.228810\n0.75 0.967125\nName: 15829, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4788759581247797, std values: 5.031470013527146, min values: 4.1654e-07, max values: 42.347, median values: 0.22119, and quantile values: 0.25 0.055643\n0.50 0.221190\n0.75 0.872315\nName: 15830, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4972554272849055, std values: 5.202462205646887, min values: 2.4613e-06, max values: 43.211, median values: 0.22659, and quantile values: 0.25 0.06206\n0.50 0.22659\n0.75 0.85166\nName: 15831, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5575618388912578, std values: 5.060780970138199, min values: 9.7321e-07, max values: 41.641, median values: 0.2468, and quantile values: 0.25 0.069547\n0.50 0.246800\n0.75 0.974990\nName: 15832, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4748099136953456, std values: 5.0899560855380255, min values: 1.1486e-07, max values: 44.387, median values: 0.19464, and quantile values: 0.25 0.045556\n0.50 0.194640\n0.75 0.829620\nName: 15833, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.416393931351572, std values: 4.879429001672365, min values: 2.9264e-06, max values: 40.498, median values: 0.19744, and quantile values: 0.25 0.063118\n0.50 0.197440\n0.75 0.794380\nName: 15834, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7634273331283017, std values: 5.257074125502738, min values: 6.3084e-06, max values: 41.867, median values: 0.26726, and quantile values: 0.25 0.081054\n0.50 0.267260\n0.75 1.072950\nName: 15835, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5409881417937108, std values: 4.9528482670889975, min values: 3.1662e-06, max values: 40.44, median values: 0.25403, and quantile values: 0.25 0.075078\n0.50 0.254030\n0.75 0.896950\nName: 15836, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.457592010477044, std values: 4.867774597331982, min values: 3.1475e-07, max values: 39.761, median values: 0.19376, and quantile values: 0.25 0.04908\n0.50 0.19376\n0.75 0.86759\nName: 15837, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4224368091345914, std values: 4.742557006939188, min values: 1.3043e-06, max values: 37.543, median values: 0.20318, and quantile values: 0.25 0.060144\n0.50 0.203180\n0.75 0.879875\nName: 15838, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3498023009749684, std values: 4.725985894148748, min values: 7.7762e-07, max values: 38.397, median values: 0.18485, and quantile values: 0.25 0.052024\n0.50 0.184850\n0.75 0.787350\nName: 15839, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.527725968815912, std values: 4.698629949676248, min values: 1.1713e-07, max values: 37.631, median values: 0.20354, and quantile values: 0.25 0.057719\n0.50 0.203540\n0.75 0.987825\nName: 15840, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2952450671821383, std values: 4.6444497394190405, min values: 9.4636e-07, max values: 37.858, median values: 0.17773, and quantile values: 0.25 0.058403\n0.50 0.177730\n0.75 0.697080\nName: 15841, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.513476439042767, std values: 4.925750379154989, min values: 2.2794e-06, max values: 39.235, median values: 0.24845, and quantile values: 0.25 0.069806\n0.50 0.248450\n0.75 0.917585\nName: 15842, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8377440861138363, std values: 5.387458356665158, min values: 4.117e-06, max values: 43.399, median values: 0.29428, and quantile values: 0.25 0.086952\n0.50 0.294280\n0.75 1.205100\nName: 15843, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5207249172905661, std values: 4.923368870766365, min values: 3.7457e-06, max values: 40.311, median values: 0.24164, and quantile values: 0.25 0.066278\n0.50 0.241640\n0.75 0.866120\nName: 15844, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3721960574138363, std values: 4.831723870575328, min values: 2.4564e-06, max values: 39.304, median values: 0.18675, and quantile values: 0.25 0.055359\n0.50 0.186750\n0.75 0.763060\nName: 15845, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5060922513553459, std values: 4.83268165384333, min values: 1.3441e-06, max values: 38.013, median values: 0.23628, and quantile values: 0.25 0.068125\n0.50 0.236280\n0.75 0.943470\nName: 15846, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3368045050918238, std values: 4.936479588371087, min values: 1.2858e-06, max values: 40.995, median values: 0.18761, and quantile values: 0.25 0.04703\n0.50 0.18761\n0.75 0.69118\nName: 15847, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5365185383281132, std values: 4.963636211794489, min values: 4.1337e-07, max values: 40.852, median values: 0.19745, and quantile values: 0.25 0.056534\n0.50 0.197450\n0.75 0.965420\nName: 15848, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.71482972321761, std values: 5.136894608298851, min values: 1.1754e-06, max values: 41.846, median values: 0.2933, and quantile values: 0.25 0.075707\n0.50 0.293300\n0.75 1.199200\nName: 15849, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5109254625113206, std values: 4.843625575187887, min values: 1.1147e-06, max values: 39.493, median values: 0.23279, and quantile values: 0.25 0.067827\n0.50 0.232790\n0.75 1.022635\nName: 15850, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5867151338861636, std values: 5.016616315533703, min values: 1.6456e-06, max values: 40.568, median values: 0.26457, and quantile values: 0.25 0.071725\n0.50 0.264570\n0.75 0.973225\nName: 15851, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5390001009798742, std values: 5.161900729497569, min values: 4.8397e-06, max values: 42.103, median values: 0.2235, and quantile values: 0.25 0.074381\n0.50 0.223500\n0.75 0.842355\nName: 15852, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.530903556782409, std values: 5.0643938817782646, min values: 2.6223e-08, max values: 43.635, median values: 0.19664, and quantile values: 0.25 0.053093\n0.50 0.196640\n0.75 0.953095\nName: 15853, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5478528693705471, std values: 5.048275705462759, min values: 3.1207e-08, max values: 43.343, median values: 0.21029, and quantile values: 0.25 0.051262\n0.50 0.210290\n0.75 0.961610\nName: 15854, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3194979885727671, std values: 4.878341603759617, min values: 1.9527e-07, max values: 41.218, median values: 0.18003, and quantile values: 0.25 0.051521\n0.50 0.180030\n0.75 0.704375\nName: 15855, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5724795814798744, std values: 4.793680219696675, min values: 1.6027e-06, max values: 37.735, median values: 0.22165, and quantile values: 0.25 0.061146\n0.50 0.221650\n0.75 1.000160\nName: 15856, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5782123835923083, std values: 5.156267519010315, min values: 5.2077e-08, max values: 44.778, median values: 0.2387, and quantile values: 0.25 0.061663\n0.50 0.238700\n0.75 1.000830\nName: 15857, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4304683496943398, std values: 4.636770927900961, min values: 1.5577e-06, max values: 37.908, median values: 0.22961, and quantile values: 0.25 0.070508\n0.50 0.229610\n0.75 0.871890\nName: 15858, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.31977491809195, std values: 4.659789681893842, min values: 1.286e-07, max values: 37.012, median values: 0.18282, and quantile values: 0.25 0.051748\n0.50 0.182820\n0.75 0.770530\nName: 15859, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4605579006308176, std values: 4.71771772815724, min values: 8.008e-07, max values: 37.553, median values: 0.19482, and quantile values: 0.25 0.056247\n0.50 0.194820\n0.75 0.880075\nName: 15860, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.464854490544516, std values: 4.83543888405904, min values: 3.5818e-08, max values: 40.031, median values: 0.21122, and quantile values: 0.25 0.049124\n0.50 0.211220\n0.75 0.920905\nName: 15861, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5778559765000002, std values: 4.9786054838090745, min values: 3.14e-06, max values: 39.448, median values: 0.23608, and quantile values: 0.25 0.077374\n0.50 0.236080\n0.75 0.961585\nName: 15862, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7754115235710695, std values: 5.118415169414592, min values: 5.0578e-06, max values: 40.983, median values: 0.31015, and quantile values: 0.25 0.077162\n0.50 0.310150\n0.75 1.172850\nName: 15863, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4053298824361635, std values: 4.863534879123355, min values: 2.0975e-07, max values: 39.887, median values: 0.20794, and quantile values: 0.25 0.051720\n0.50 0.207940\n0.75 0.796975\nName: 15864, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6496624958201256, std values: 4.797761396060407, min values: 1.2838e-06, max values: 38.538, median values: 0.28357, and quantile values: 0.25 0.07308\n0.50 0.28357\n0.75 1.16305\nName: 15865, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4700903007557233, std values: 4.946628107868311, min values: 8.0176e-07, max values: 41.3, median values: 0.23208, and quantile values: 0.25 0.062300\n0.50 0.232080\n0.75 0.919915\nName: 15866, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4799684089188676, std values: 4.970167077707417, min values: 1.498e-06, max values: 39.693, median values: 0.20488, and quantile values: 0.25 0.076341\n0.50 0.204880\n0.75 0.888230\nName: 15867, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3258975392591823, std values: 4.542880349413752, min values: 6.4631e-07, max values: 38.604, median values: 0.18174, and quantile values: 0.25 0.058052\n0.50 0.181740\n0.75 0.777390\nName: 15868, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.472383644465849, std values: 4.787825535631998, min values: 1.8655e-07, max values: 37.961, median values: 0.20041, and quantile values: 0.25 0.051124\n0.50 0.200410\n0.75 0.914025\nName: 15869, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3486448734312013, std values: 4.872374013221465, min values: 1.7981e-08, max values: 40.658, median values: 0.15954, and quantile values: 0.25 0.041835\n0.50 0.159540\n0.75 0.700730\nName: 15870, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7852835718251574, std values: 5.200319629161351, min values: 1.275e-06, max values: 42.264, median values: 0.28313, and quantile values: 0.25 0.083667\n0.50 0.283130\n0.75 1.249950\nName: 15871, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.632555813596415, std values: 5.25689888433563, min values: 1.5924e-07, max values: 46.721, median values: 0.21055, and quantile values: 0.25 0.052861\n0.50 0.210550\n0.75 0.953680\nName: 15872, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4993422996069181, std values: 5.226770732502423, min values: 6.6811e-06, max values: 42.617, median values: 0.21066, and quantile values: 0.25 0.052900\n0.50 0.210660\n0.75 0.746865\nName: 15873, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.662466802052201, std values: 5.019305967003016, min values: 1.9615e-06, max values: 39.743, median values: 0.27493, and quantile values: 0.25 0.074234\n0.50 0.274930\n0.75 1.087850\nName: 15874, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4381796584411322, std values: 4.655289330758101, min values: 1.5874e-07, max values: 37.042, median values: 0.22809, and quantile values: 0.25 0.060506\n0.50 0.228090\n0.75 0.904120\nName: 15875, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.173812110081698, std values: 4.701417935736814, min values: 4.2511e-07, max values: 39.041, median values: 0.13136, and quantile values: 0.25 0.042083\n0.50 0.131360\n0.75 0.547775\nName: 15876, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6219175104232706, std values: 4.854420243415111, min values: 3.7111e-06, max values: 40.074, median values: 0.30838, and quantile values: 0.25 0.086074\n0.50 0.308380\n0.75 1.040750\nName: 15877, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6559362428584903, std values: 5.12594524511298, min values: 3.8062e-06, max values: 40.182, median values: 0.29734, and quantile values: 0.25 0.069311\n0.50 0.297340\n0.75 0.981085\nName: 15878, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3615140224758049, std values: 4.6491221655581345, min values: 1.7463e-08, max values: 37.372, median values: 0.17782, and quantile values: 0.25 0.038025\n0.50 0.177820\n0.75 0.770795\nName: 15879, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4227370964106918, std values: 4.957965701833782, min values: 3.8842e-06, max values: 39.857, median values: 0.18048, and quantile values: 0.25 0.062156\n0.50 0.180480\n0.75 0.786580\nName: 15880, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5947700079238993, std values: 5.018913857633541, min values: 4.2629e-06, max values: 40.59, median values: 0.27077, and quantile values: 0.25 0.075545\n0.50 0.270770\n0.75 0.921305\nName: 15881, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6118594491584903, std values: 4.8905532402460965, min values: 3.0539e-06, max values: 39.623, median values: 0.24939, and quantile values: 0.25 0.074345\n0.50 0.249390\n0.75 1.062000\nName: 15882, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6468678896937106, std values: 5.077899467434556, min values: 2.3691e-06, max values: 39.867, median values: 0.27451, and quantile values: 0.25 0.070589\n0.50 0.274510\n0.75 1.054000\nName: 15883, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4182002686672959, std values: 4.6483278889806705, min values: 1.1786e-06, max values: 38.837, median values: 0.2028, and quantile values: 0.25 0.061830\n0.50 0.202800\n0.75 0.867195\nName: 15884, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3981099419466039, std values: 4.895434432902393, min values: 6.4691e-07, max values: 40.797, median values: 0.1848, and quantile values: 0.25 0.055803\n0.50 0.184800\n0.75 0.755490\nName: 15885, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5891109571578619, std values: 5.030755800213157, min values: 1.6621e-06, max values: 40.326, median values: 0.24923, and quantile values: 0.25 0.067954\n0.50 0.249230\n0.75 1.075800\nName: 15886, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4513841590166665, std values: 4.836688197234528, min values: 7.3675e-07, max values: 38.267, median values: 0.19504, and quantile values: 0.25 0.058477\n0.50 0.195040\n0.75 0.843955\nName: 15887, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3673220903001257, std values: 5.019687940535426, min values: 6.6832e-07, max values: 42.491, median values: 0.16756, and quantile values: 0.25 0.048103\n0.50 0.167560\n0.75 0.712840\nName: 15888, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5467386042867926, std values: 4.745710112711969, min values: 1.1421e-06, max values: 37.939, median values: 0.24622, and quantile values: 0.25 0.067775\n0.50 0.246220\n0.75 1.019400\nName: 15889, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.819905941645283, std values: 5.6871823857477235, min values: 3.711e-06, max values: 50.078, median values: 0.31207, and quantile values: 0.25 0.090754\n0.50 0.312070\n0.75 1.112100\nName: 15890, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4776949235273587, std values: 5.0611328863774645, min values: 5.6005e-07, max values: 43.215, median values: 0.22369, and quantile values: 0.25 0.061457\n0.50 0.223690\n0.75 0.908290\nName: 15891, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6660238784349939, std values: 5.0823832617001115, min values: 3.3684e-08, max values: 42.728, median values: 0.25315, and quantile values: 0.25 0.057787\n0.50 0.253150\n0.75 1.223050\nName: 15892, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4083224937283016, std values: 4.766675919914708, min values: 2.64e-06, max values: 39.242, median values: 0.22593, and quantile values: 0.25 0.065574\n0.50 0.225930\n0.75 0.787570\nName: 15893, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4535156394955975, std values: 4.8801013138986, min values: 1.217e-06, max values: 38.993, median values: 0.26061, and quantile values: 0.25 0.065832\n0.50 0.260610\n0.75 0.817235\nName: 15894, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5737849330232707, std values: 4.878493216896051, min values: 1.703e-06, max values: 38.586, median values: 0.23146, and quantile values: 0.25 0.06825\n0.50 0.23146\n0.75 1.05840\nName: 15895, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4430891004089939, std values: 4.769523966796471, min values: 6.8833e-07, max values: 37.926, median values: 0.1732, and quantile values: 0.25 0.055177\n0.50 0.173200\n0.75 0.794055\nName: 15896, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4020503574861636, std values: 5.278626889056622, min values: 3.3976e-06, max values: 44.28, median values: 0.17931, and quantile values: 0.25 0.055591\n0.50 0.179310\n0.75 0.622460\nName: 15897, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.567508559918868, std values: 4.8751120827085765, min values: 2.3464e-06, max values: 38.595, median values: 0.23656, and quantile values: 0.25 0.070558\n0.50 0.236560\n0.75 1.027350\nName: 15898, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4893250830589309, std values: 4.999453738634387, min values: 7.0387e-07, max values: 41.626, median values: 0.21021, and quantile values: 0.25 0.059672\n0.50 0.210210\n0.75 0.871290\nName: 15899, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5003323413075282, std values: 4.683604642188166, min values: 2.0697e-08, max values: 37.6, median values: 0.21672, and quantile values: 0.25 0.063648\n0.50 0.216720\n0.75 1.025700\nName: 15900, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6983133760421383, std values: 5.087833137929536, min values: 6.4412e-06, max values: 41.196, median values: 0.29174, and quantile values: 0.25 0.082199\n0.50 0.291740\n0.75 1.033150\nName: 15901, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6183900838327046, std values: 5.350383934755009, min values: 7.237e-07, max values: 47.419, median values: 0.26099, and quantile values: 0.25 0.076847\n0.50 0.260990\n0.75 0.980130\nName: 15902, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.501084776362327, std values: 4.825465608615745, min values: 2.2241e-07, max values: 38.651, median values: 0.22491, and quantile values: 0.25 0.054559\n0.50 0.224910\n0.75 0.947920\nName: 15903, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4801005531125158, std values: 5.232939992472973, min values: 7.8349e-07, max values: 46.398, median values: 0.22985, and quantile values: 0.25 0.065919\n0.50 0.229850\n0.75 0.848235\nName: 15904, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6669937659861631, std values: 5.003218034812102, min values: 2.9616e-06, max values: 39.866, median values: 0.27719, and quantile values: 0.25 0.076443\n0.50 0.277190\n0.75 1.144000\nName: 15905, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.518440739508302, std values: 5.026747427586265, min values: 9.8362e-07, max values: 40.987, median values: 0.20933, and quantile values: 0.25 0.065646\n0.50 0.209330\n0.75 0.970175\nName: 15906, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.477982718326289, std values: 5.069987756194129, min values: 2.4746e-07, max values: 44.556, median values: 0.19272, and quantile values: 0.25 0.046600\n0.50 0.192720\n0.75 0.887975\nName: 15907, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.580671655757233, std values: 5.074849157935397, min values: 6.4585e-06, max values: 41.033, median values: 0.24639, and quantile values: 0.25 0.067622\n0.50 0.246390\n0.75 0.909815\nName: 15908, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5582786791831633, std values: 4.951306475322835, min values: 3.2943e-08, max values: 40.996, median values: 0.23962, and quantile values: 0.25 0.052285\n0.50 0.239620\n0.75 0.985125\nName: 15909, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.575669206990566, std values: 4.802103145661002, min values: 3.9999e-06, max values: 40.088, median values: 0.25814, and quantile values: 0.25 0.075303\n0.50 0.258140\n0.75 1.018700\nName: 15910, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4130309503386793, std values: 4.718348912619603, min values: 9.0215e-07, max values: 37.167, median values: 0.21736, and quantile values: 0.25 0.059745\n0.50 0.217360\n0.75 0.856035\nName: 15911, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3875011023534591, std values: 4.805005152079288, min values: 3.6488e-06, max values: 40.736, median values: 0.21236, and quantile values: 0.25 0.063123\n0.50 0.212360\n0.75 0.741260\nName: 15912, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.364820101836478, std values: 4.9467666137364885, min values: 8.982e-07, max values: 41.238, median values: 0.17982, and quantile values: 0.25 0.049646\n0.50 0.179820\n0.75 0.675920\nName: 15913, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3493514711628933, std values: 4.686745767200034, min values: 6.259e-07, max values: 38.758, median values: 0.18712, and quantile values: 0.25 0.055717\n0.50 0.187120\n0.75 0.791155\nName: 15914, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.340479300099371, std values: 4.794897180049381, min values: 2.4914e-06, max values: 40.131, median values: 0.18867, and quantile values: 0.25 0.052667\n0.50 0.188670\n0.75 0.656235\nName: 15915, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7313117115113206, std values: 5.413919594347574, min values: 1.681e-06, max values: 47.204, median values: 0.29423, and quantile values: 0.25 0.076882\n0.50 0.294230\n0.75 1.164800\nName: 15916, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.621429238572327, std values: 5.121756094230063, min values: 2.1194e-06, max values: 42.234, median values: 0.24582, and quantile values: 0.25 0.070323\n0.50 0.245820\n0.75 1.059950\nName: 15917, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5810630924471696, std values: 4.805622200358191, min values: 1.7425e-06, max values: 39.835, median values: 0.26195, and quantile values: 0.25 0.067545\n0.50 0.261950\n0.75 1.075650\nName: 15918, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.388219973237107, std values: 4.809842118945225, min values: 4.969e-07, max values: 38.436, median values: 0.18478, and quantile values: 0.25 0.058214\n0.50 0.184780\n0.75 0.796470\nName: 15919, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3699212354047798, std values: 4.686087334133215, min values: 9.6396e-07, max values: 38.143, median values: 0.20859, and quantile values: 0.25 0.056658\n0.50 0.208590\n0.75 0.817705\nName: 15920, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.828697318145283, std values: 5.358224111685166, min values: 3.1247e-06, max values: 43.78, median values: 0.31349, and quantile values: 0.25 0.090222\n0.50 0.313490\n0.75 1.276300\nName: 15921, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4185697128597485, std values: 4.8430179067352634, min values: 2.2105e-06, max values: 39.811, median values: 0.20433, and quantile values: 0.25 0.057409\n0.50 0.204330\n0.75 0.793325\nName: 15922, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4829381527937107, std values: 5.008250816527434, min values: 1.4073e-06, max values: 41.347, median values: 0.2238, and quantile values: 0.25 0.064946\n0.50 0.223800\n0.75 0.865680\nName: 15923, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4139204556528298, std values: 4.628953336488434, min values: 1.0539e-06, max values: 38.001, median values: 0.20792, and quantile values: 0.25 0.058139\n0.50 0.207920\n0.75 0.881890\nName: 15924, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5830758771628932, std values: 5.041154413317578, min values: 3.0723e-06, max values: 40.489, median values: 0.27071, and quantile values: 0.25 0.065771\n0.50 0.270710\n0.75 1.007025\nName: 15925, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5109215392798743, std values: 5.092398036531895, min values: 1.2642e-06, max values: 42.873, median values: 0.21885, and quantile values: 0.25 0.061552\n0.50 0.218850\n0.75 0.932095\nName: 15926, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3848358252792452, std values: 4.9180622713193065, min values: 1.7836e-06, max values: 40.418, median values: 0.22053, and quantile values: 0.25 0.062339\n0.50 0.220530\n0.75 0.783995\nName: 15927, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6818888789086794, std values: 5.311293551185011, min values: 6.3678e-07, max values: 46.132, median values: 0.26722, and quantile values: 0.25 0.070401\n0.50 0.267220\n0.75 1.148000\nName: 15928, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.579393777767547, std values: 5.089296505211343, min values: 6.9184e-07, max values: 42.505, median values: 0.2313, and quantile values: 0.25 0.054736\n0.50 0.231300\n0.75 0.999250\nName: 15929, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4564934611216351, std values: 4.624477344153184, min values: 7.4364e-07, max values: 37.602, median values: 0.24292, and quantile values: 0.25 0.068152\n0.50 0.242920\n0.75 0.917515\nName: 15930, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.40440284660239, std values: 4.691962604023564, min values: 8.9728e-07, max values: 37.761, median values: 0.20394, and quantile values: 0.25 0.062962\n0.50 0.203940\n0.75 0.871665\nName: 15931, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.244675248451195, std values: 4.814727184401655, min values: 2.3614e-07, max values: 40.059, median values: 0.14532, and quantile values: 0.25 0.041130\n0.50 0.145320\n0.75 0.657085\nName: 15932, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4249670827100627, std values: 5.069318144961228, min values: 2.5505e-06, max values: 41.906, median values: 0.22152, and quantile values: 0.25 0.061775\n0.50 0.221520\n0.75 0.768105\nName: 15933, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4798067835106918, std values: 5.051746032090216, min values: 1.9973e-06, max values: 41.454, median values: 0.22289, and quantile values: 0.25 0.063400\n0.50 0.222890\n0.75 0.864745\nName: 15934, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4517648436861637, std values: 4.9549551340845905, min values: 1.8111e-06, max values: 40.158, median values: 0.21224, and quantile values: 0.25 0.068011\n0.50 0.212240\n0.75 0.854225\nName: 15935, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4562286598528302, std values: 4.835260422815032, min values: 1.1747e-06, max values: 38.655, median values: 0.21159, and quantile values: 0.25 0.071327\n0.50 0.211590\n0.75 0.898445\nName: 15936, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.590404391898742, std values: 4.81665229095333, min values: 3.1375e-06, max values: 39.621, median values: 0.258, and quantile values: 0.25 0.078633\n0.50 0.258000\n0.75 1.092800\nName: 15937, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5959398231503146, std values: 5.046724787125041, min values: 3.8245e-06, max values: 40.294, median values: 0.24749, and quantile values: 0.25 0.072898\n0.50 0.247490\n0.75 0.974850\nName: 15938, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5429808463685535, std values: 4.891350010861319, min values: 3.0589e-06, max values: 40.475, median values: 0.24463, and quantile values: 0.25 0.062948\n0.50 0.244630\n0.75 0.943540\nName: 15939, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.184954045898805, std values: 4.652855463215546, min values: 2.5471e-07, max values: 37.543, median values: 0.13551, and quantile values: 0.25 0.041631\n0.50 0.135510\n0.75 0.620825\nName: 15940, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5281888370578616, std values: 4.9779636222018855, min values: 1.1612e-06, max values: 40.321, median values: 0.2535, and quantile values: 0.25 0.062676\n0.50 0.253500\n0.75 0.892495\nName: 15941, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6823361400339623, std values: 5.076557018992101, min values: 6.0114e-06, max values: 40.561, median values: 0.26451, and quantile values: 0.25 0.091113\n0.50 0.264510\n0.75 1.063700\nName: 15942, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5806630305559748, std values: 5.220733369315696, min values: 4.0902e-06, max values: 42.625, median values: 0.25316, and quantile values: 0.25 0.078708\n0.50 0.253160\n0.75 0.874235\nName: 15943, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3456348298830187, std values: 4.837957665137471, min values: 1.1642e-06, max values: 39.087, median values: 0.17393, and quantile values: 0.25 0.052202\n0.50 0.173930\n0.75 0.761920\nName: 15944, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5510047673245282, std values: 5.024247592080341, min values: 1.9204e-06, max values: 40.571, median values: 0.24547, and quantile values: 0.25 0.065727\n0.50 0.245470\n0.75 0.977690\nName: 15945, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4593755999805784, std values: 5.124780045288744, min values: 8.0812e-08, max values: 44.924, median values: 0.19082, and quantile values: 0.25 0.056164\n0.50 0.190820\n0.75 0.812050\nName: 15946, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4798402285968553, std values: 4.840620536680965, min values: 1.6293e-06, max values: 38.536, median values: 0.22436, and quantile values: 0.25 0.067156\n0.50 0.224360\n0.75 0.923975\nName: 15947, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2886321171572328, std values: 4.74914118618017, min values: 3.017e-06, max values: 40.048, median values: 0.18038, and quantile values: 0.25 0.054459\n0.50 0.180380\n0.75 0.634545\nName: 15948, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4169484569363522, std values: 4.883007829333862, min values: 3.0018e-07, max values: 40.53, median values: 0.18581, and quantile values: 0.25 0.050584\n0.50 0.185810\n0.75 0.768675\nName: 15949, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3764634544994967, std values: 4.649262097929707, min values: 5.8712e-07, max values: 38.098, median values: 0.20468, and quantile values: 0.25 0.057281\n0.50 0.204680\n0.75 0.786075\nName: 15950, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3099453097805662, std values: 4.681330182814814, min values: 4.2971e-07, max values: 38.081, median values: 0.20216, and quantile values: 0.25 0.055616\n0.50 0.202160\n0.75 0.761670\nName: 15951, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.654730320710692, std values: 5.067525165776817, min values: 4.5914e-06, max values: 40.011, median values: 0.26761, and quantile values: 0.25 0.082842\n0.50 0.267610\n0.75 0.957370\nName: 15952, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4421592158915095, std values: 4.833173303686816, min values: 7.5555e-07, max values: 39.203, median values: 0.20814, and quantile values: 0.25 0.066396\n0.50 0.208140\n0.75 0.823880\nName: 15953, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.678784481130818, std values: 5.118645629538834, min values: 1.781e-06, max values: 40.32, median values: 0.27962, and quantile values: 0.25 0.077763\n0.50 0.279620\n0.75 1.128800\nName: 15954, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3581347572980504, std values: 4.696278396512198, min values: 2.91e-08, max values: 37.257, median values: 0.20427, and quantile values: 0.25 0.050836\n0.50 0.204270\n0.75 0.852650\nName: 15955, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.563452335602956, std values: 4.942042392565034, min values: 4.5627e-07, max values: 39.588, median values: 0.25242, and quantile values: 0.25 0.064435\n0.50 0.252420\n0.75 0.959860\nName: 15956, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5834732173459118, std values: 5.265084617078187, min values: 3.7152e-06, max values: 43.843, median values: 0.26027, and quantile values: 0.25 0.076957\n0.50 0.260270\n0.75 0.907780\nName: 15957, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3610806029337106, std values: 4.628254223650305, min values: 6.5886e-07, max values: 37.875, median values: 0.2278, and quantile values: 0.25 0.061822\n0.50 0.227800\n0.75 0.780575\nName: 15958, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3131841752416982, std values: 4.812091052101412, min values: 6.0983e-07, max values: 39.131, median values: 0.17354, and quantile values: 0.25 0.050008\n0.50 0.173540\n0.75 0.691080\nName: 15959, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4162146841842767, std values: 4.91068657322824, min values: 1.0312e-06, max values: 40.315, median values: 0.22401, and quantile values: 0.25 0.063674\n0.50 0.224010\n0.75 0.871255\nName: 15960, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5711862581408802, std values: 5.14993642335355, min values: 1.4428e-06, max values: 43.355, median values: 0.23174, and quantile values: 0.25 0.067813\n0.50 0.231740\n0.75 0.906710\nName: 15961, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4109064266238995, std values: 4.921454427146579, min values: 2.3657e-06, max values: 39.301, median values: 0.20599, and quantile values: 0.25 0.061056\n0.50 0.205990\n0.75 0.730885\nName: 15962, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4502470987446732, std values: 4.938554241574725, min values: 7.9603e-08, max values: 41.239, median values: 0.19111, and quantile values: 0.25 0.051632\n0.50 0.191110\n0.75 0.820980\nName: 15963, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4218939365974843, std values: 4.930229655303179, min values: 4.614e-07, max values: 41.083, median values: 0.16528, and quantile values: 0.25 0.047358\n0.50 0.165280\n0.75 0.844970\nName: 15964, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6575998794465405, std values: 5.125286415023172, min values: 1.5537e-06, max values: 41.467, median values: 0.26061, and quantile values: 0.25 0.071027\n0.50 0.260610\n0.75 1.113950\nName: 15965, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5666985632767294, std values: 4.947526952818474, min values: 2.1314e-06, max values: 39.214, median values: 0.25708, and quantile values: 0.25 0.075373\n0.50 0.257080\n0.75 0.958820\nName: 15966, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3782089663039625, std values: 4.797219376150394, min values: 3.2584e-07, max values: 39.495, median values: 0.20846, and quantile values: 0.25 0.054423\n0.50 0.208460\n0.75 0.744890\nName: 15967, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.302340562854214, std values: 4.903609072080353, min values: 8.0322e-07, max values: 40.84, median values: 0.1812, and quantile values: 0.25 0.049953\n0.50 0.181200\n0.75 0.663935\nName: 15968, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5048073720049435, std values: 4.906571243378114, min values: 2.6686e-08, max values: 40.02, median values: 0.22823, and quantile values: 0.25 0.056117\n0.50 0.228230\n0.75 0.975070\nName: 15969, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2892390832452831, std values: 4.662464602721897, min values: 4.792e-07, max values: 37.545, median values: 0.17457, and quantile values: 0.25 0.055401\n0.50 0.174570\n0.75 0.683215\nName: 15970, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7529303932857232, std values: 5.018313452873508, min values: 6.7673e-07, max values: 39.32, median values: 0.29682, and quantile values: 0.25 0.074266\n0.50 0.296820\n0.75 1.314450\nName: 15971, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.402698638931258, std values: 4.745751684537563, min values: 1.2168e-07, max values: 38.513, median values: 0.20676, and quantile values: 0.25 0.051587\n0.50 0.206760\n0.75 0.858230\nName: 15972, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5295356291194966, std values: 4.8797294225190395, min values: 3.4652e-06, max values: 40.397, median values: 0.24494, and quantile values: 0.25 0.068052\n0.50 0.244940\n0.75 0.888115\nName: 15973, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.560792220044151, std values: 4.952657458640461, min values: 4.2362e-07, max values: 40.637, median values: 0.22221, and quantile values: 0.25 0.065618\n0.50 0.222210\n0.75 0.962130\nName: 15974, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3123734780943397, std values: 4.792878012852565, min values: 1.3132e-06, max values: 39.415, median values: 0.18486, and quantile values: 0.25 0.048869\n0.50 0.184860\n0.75 0.767105\nName: 15975, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6863144193591197, std values: 4.982397949810604, min values: 2.9737e-06, max values: 39.022, median values: 0.30067, and quantile values: 0.25 0.08959\n0.50 0.30067\n0.75 1.18375\nName: 15976, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7204450821226416, std values: 5.147724801942629, min values: 1.9568e-06, max values: 41.009, median values: 0.27294, and quantile values: 0.25 0.082329\n0.50 0.272940\n0.75 1.178950\nName: 15977, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6623480845415095, std values: 5.170076993210074, min values: 2.5305e-06, max values: 42.691, median values: 0.29024, and quantile values: 0.25 0.086004\n0.50 0.290240\n0.75 1.073700\nName: 15978, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.582643715289308, std values: 5.008768478642667, min values: 1.5081e-06, max values: 40.518, median values: 0.26259, and quantile values: 0.25 0.072293\n0.50 0.262590\n0.75 1.061600\nName: 15979, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3041396733226414, std values: 4.7049135542887885, min values: 1.171e-06, max values: 38.816, median values: 0.16701, and quantile values: 0.25 0.054009\n0.50 0.167010\n0.75 0.734115\nName: 15980, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4962481674553458, std values: 4.9922170975324205, min values: 2.9932e-06, max values: 40.053, median values: 0.21722, and quantile values: 0.25 0.068302\n0.50 0.217220\n0.75 0.853745\nName: 15981, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.551181310943189, std values: 4.873849202468319, min values: 2.7367e-08, max values: 38.759, median values: 0.23568, and quantile values: 0.25 0.055629\n0.50 0.235680\n0.75 1.037750\nName: 15982, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7312202103440253, std values: 5.105837198454775, min values: 2.0704e-06, max values: 40.164, median values: 0.28778, and quantile values: 0.25 0.091004\n0.50 0.287780\n0.75 1.173150\nName: 15983, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.344897296772956, std values: 4.738454447166817, min values: 3.0421e-06, max values: 40.335, median values: 0.20194, and quantile values: 0.25 0.058616\n0.50 0.201940\n0.75 0.739625\nName: 15984, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4792922007383649, std values: 5.156059909011403, min values: 2.386e-06, max values: 43.068, median values: 0.21708, and quantile values: 0.25 0.060250\n0.50 0.217080\n0.75 0.932525\nName: 15985, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.385310901405031, std values: 4.770470853648388, min values: 1.8321e-06, max values: 39.383, median values: 0.19892, and quantile values: 0.25 0.060326\n0.50 0.198920\n0.75 0.792660\nName: 15986, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5766795348207547, std values: 5.146180346699241, min values: 1.932e-06, max values: 42.94, median values: 0.23358, and quantile values: 0.25 0.065499\n0.50 0.233580\n0.75 0.972460\nName: 15987, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5083796012943396, std values: 4.871878121928249, min values: 1.8092e-06, max values: 39.001, median values: 0.23565, and quantile values: 0.25 0.060472\n0.50 0.235650\n0.75 0.967635\nName: 15988, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.561345581298742, std values: 5.064341035719825, min values: 1.8889e-06, max values: 40.694, median values: 0.24751, and quantile values: 0.25 0.064711\n0.50 0.247510\n0.75 1.043400\nName: 15989, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3206188144579307, std values: 4.842250136468445, min values: 2.0351e-08, max values: 40.941, median values: 0.19286, and quantile values: 0.25 0.044311\n0.50 0.192860\n0.75 0.712590\nName: 15990, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4732490376540253, std values: 4.8173782906105655, min values: 5.8689e-07, max values: 38.458, median values: 0.24227, and quantile values: 0.25 0.068105\n0.50 0.242270\n0.75 0.900810\nName: 15991, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4323865220591196, std values: 4.723025170235342, min values: 1.5986e-06, max values: 38.611, median values: 0.222, and quantile values: 0.25 0.066870\n0.50 0.222000\n0.75 0.888355\nName: 15992, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4769129641832703, std values: 4.932426577431047, min values: 3.2394e-07, max values: 40.387, median values: 0.21185, and quantile values: 0.25 0.059135\n0.50 0.211850\n0.75 0.868690\nName: 15993, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3475081220044025, std values: 4.8568547673370865, min values: 8.482e-07, max values: 39.725, median values: 0.1789, and quantile values: 0.25 0.052018\n0.50 0.178900\n0.75 0.733355\nName: 15994, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4905666862904403, std values: 4.651579602348574, min values: 2.8258e-07, max values: 36.904, median values: 0.26809, and quantile values: 0.25 0.065132\n0.50 0.268090\n0.75 0.977615\nName: 15995, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.93916764845283, std values: 5.5177142366733785, min values: 1.3719e-05, max values: 42.216, median values: 0.31545, and quantile values: 0.25 0.087595\n0.50 0.315450\n0.75 1.195800\nName: 15996, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3180499883477985, std values: 4.860403252203565, min values: 1.4313e-06, max values: 40.012, median values: 0.17977, and quantile values: 0.25 0.056744\n0.50 0.179770\n0.75 0.739590\nName: 15997, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6648466011861636, std values: 4.962458320803317, min values: 1.7762e-06, max values: 38.556, median values: 0.2892, and quantile values: 0.25 0.080536\n0.50 0.289200\n0.75 1.129300\nName: 15998, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8080161846578617, std values: 5.271919468488995, min values: 2.1724e-06, max values: 42.807, median values: 0.31387, and quantile values: 0.25 0.093821\n0.50 0.313870\n0.75 1.262500\nName: 15999, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6573388212006293, std values: 4.999667191188903, min values: 1.5214e-06, max values: 39.625, median values: 0.29276, and quantile values: 0.25 0.078023\n0.50 0.292760\n0.75 1.125500\nName: 16000, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5272270609723269, std values: 4.986793522877031, min values: 1.1634e-06, max values: 40.699, median values: 0.26708, and quantile values: 0.25 0.072458\n0.50 0.267080\n0.75 0.981600\nName: 16001, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.593350916545283, std values: 4.936117229197895, min values: 2.8673e-06, max values: 40.17, median values: 0.25965, and quantile values: 0.25 0.076141\n0.50 0.259650\n0.75 0.998840\nName: 16002, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.462747096743082, std values: 5.047571750806443, min values: 7.4365e-07, max values: 42.636, median values: 0.23178, and quantile values: 0.25 0.070399\n0.50 0.231780\n0.75 0.860820\nName: 16003, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.67834163488239, std values: 4.943081506912123, min values: 4.2573e-06, max values: 38.546, median values: 0.27154, and quantile values: 0.25 0.075536\n0.50 0.271540\n0.75 1.079900\nName: 16004, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3566086840732579, std values: 4.696574665229181, min values: 2.0858e-08, max values: 38.057, median values: 0.18808, and quantile values: 0.25 0.038842\n0.50 0.188080\n0.75 0.736855\nName: 16005, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2891146819955974, std values: 4.796156851584744, min values: 1.5154e-06, max values: 38.705, median values: 0.18184, and quantile values: 0.25 0.051946\n0.50 0.181840\n0.75 0.716000\nName: 16006, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6321655885723272, std values: 4.782699193689951, min values: 3.447e-07, max values: 37.026, median values: 0.24994, and quantile values: 0.25 0.064011\n0.50 0.249940\n0.75 1.119000\nName: 16007, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5270140040654088, std values: 4.95813642273641, min values: 1.9037e-06, max values: 39.495, median values: 0.24909, and quantile values: 0.25 0.072093\n0.50 0.249090\n0.75 0.973430\nName: 16008, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4300784014054717, std values: 4.759401596977453, min values: 7.7867e-07, max values: 38.161, median values: 0.22306, and quantile values: 0.25 0.061979\n0.50 0.223060\n0.75 0.880470\nName: 16009, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.450673015623585, std values: 4.76449464304526, min values: 9.6715e-07, max values: 38.696, median values: 0.19997, and quantile values: 0.25 0.058714\n0.50 0.199970\n0.75 0.859900\nName: 16010, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8632531126125789, std values: 5.404602219161319, min values: 7.7534e-06, max values: 41.83, median values: 0.32081, and quantile values: 0.25 0.077311\n0.50 0.320810\n0.75 1.174100\nName: 16011, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4355949303144782, std values: 4.882855142477379, min values: 2.6432e-08, max values: 40.512, median values: 0.18533, and quantile values: 0.25 0.040456\n0.50 0.185330\n0.75 0.955260\nName: 16012, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.567738430135849, std values: 4.893704080923979, min values: 4.0293e-06, max values: 40.467, median values: 0.2654, and quantile values: 0.25 0.073375\n0.50 0.265400\n0.75 0.955035\nName: 16013, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5479172547572326, std values: 5.377158869002441, min values: 3.4972e-06, max values: 46.81, median values: 0.23047, and quantile values: 0.25 0.067534\n0.50 0.230470\n0.75 0.850350\nName: 16014, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 2.0295869283394845, std values: 6.15429327486715, min values: 2.4778e-08, max values: 58.63, median values: 0.33291, and quantile values: 0.25 0.072391\n0.50 0.332910\n0.75 1.367800\nName: 16015, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3225866158156605, std values: 4.6242385705389175, min values: 2.8253e-07, max values: 36.714, median values: 0.17753, and quantile values: 0.25 0.049774\n0.50 0.177530\n0.75 0.733430\nName: 16016, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4325205045616982, std values: 4.672499568540718, min values: 3.4301e-07, max values: 37.508, median values: 0.18588, and quantile values: 0.25 0.053844\n0.50 0.185880\n0.75 0.848985\nName: 16017, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.563610343826415, std values: 4.903152833909439, min values: 4.1806e-06, max values: 39.518, median values: 0.24288, and quantile values: 0.25 0.080875\n0.50 0.242880\n0.75 1.013315\nName: 16018, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4100571735012577, std values: 4.745492084118138, min values: 1.7733e-06, max values: 38.718, median values: 0.23183, and quantile values: 0.25 0.062871\n0.50 0.231830\n0.75 0.886355\nName: 16019, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3843509410969999, std values: 4.95193289549579, min values: 3.6523e-08, max values: 41.949, median values: 0.17617, and quantile values: 0.25 0.050888\n0.50 0.176170\n0.75 0.713610\nName: 16020, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7229317112752827, std values: 4.81276307674069, min values: 6.3307e-07, max values: 37.842, median values: 0.33751, and quantile values: 0.25 0.081505\n0.50 0.337510\n0.75 1.196150\nName: 16021, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.363258019125843, std values: 4.6129890936219295, min values: 2.4009e-08, max values: 36.657, median values: 0.17315, and quantile values: 0.25 0.047883\n0.50 0.173150\n0.75 0.785690\nName: 16022, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4818012969320755, std values: 4.747357094120675, min values: 3.2509e-06, max values: 39.408, median values: 0.24855, and quantile values: 0.25 0.071392\n0.50 0.248550\n0.75 0.928050\nName: 16023, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6103208504364783, std values: 4.892314883145231, min values: 1.3596e-06, max values: 38.715, median values: 0.25963, and quantile values: 0.25 0.071602\n0.50 0.259630\n0.75 1.087200\nName: 16024, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.542399837848805, std values: 5.08979195543624, min values: 6.0366e-07, max values: 42.918, median values: 0.21272, and quantile values: 0.25 0.064232\n0.50 0.212720\n0.75 0.990430\nName: 16025, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2819005900131761, std values: 4.983779935832946, min values: 1.2075e-08, max values: 43.836, median values: 0.12943, and quantile values: 0.25 0.034957\n0.50 0.129430\n0.75 0.603635\nName: 16026, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4825703800031445, std values: 4.883259431993246, min values: 1.076e-07, max values: 40.522, median values: 0.1883, and quantile values: 0.25 0.051904\n0.50 0.188300\n0.75 0.878540\nName: 16027, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5609136249320754, std values: 4.943998060665355, min values: 1.42e-06, max values: 38.972, median values: 0.23378, and quantile values: 0.25 0.068935\n0.50 0.233780\n0.75 0.993425\nName: 16028, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6593230096345912, std values: 5.060268077934834, min values: 1.6837e-06, max values: 39.719, median values: 0.25327, and quantile values: 0.25 0.070141\n0.50 0.253270\n0.75 1.106200\nName: 16029, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4974845509830188, std values: 4.7671133741978275, min values: 1.6653e-06, max values: 38.44, median values: 0.23277, and quantile values: 0.25 0.065022\n0.50 0.232770\n0.75 0.963260\nName: 16030, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3774314070308178, std values: 4.84657261488987, min values: 1.8928e-06, max values: 39.374, median values: 0.20122, and quantile values: 0.25 0.060538\n0.50 0.201220\n0.75 0.806870\nName: 16031, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.40005736244239, std values: 4.981910343487028, min values: 9.9664e-07, max values: 41.957, median values: 0.18155, and quantile values: 0.25 0.058350\n0.50 0.181550\n0.75 0.779705\nName: 16032, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6758129633025156, std values: 4.975924871677102, min values: 1.4956e-06, max values: 38.592, median values: 0.29558, and quantile values: 0.25 0.079325\n0.50 0.295580\n0.75 1.171650\nName: 16033, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4685631188993713, std values: 4.852026990228335, min values: 2.5267e-06, max values: 39.111, median values: 0.21705, and quantile values: 0.25 0.061956\n0.50 0.217050\n0.75 0.866105\nName: 16034, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4775711288735849, std values: 4.96390225865387, min values: 3.4818e-06, max values: 40.074, median values: 0.22106, and quantile values: 0.25 0.059556\n0.50 0.221060\n0.75 0.853595\nName: 16035, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5522158230867924, std values: 5.09561226376199, min values: 1.984e-06, max values: 42.376, median values: 0.24481, and quantile values: 0.25 0.067183\n0.50 0.244810\n0.75 0.932165\nName: 16036, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4267639324465409, std values: 4.692723950200116, min values: 1.3948e-06, max values: 38.438, median values: 0.2081, and quantile values: 0.25 0.055214\n0.50 0.208100\n0.75 0.915670\nName: 16037, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3655194326408804, std values: 4.983566410792886, min values: 2.7822e-06, max values: 40.672, median values: 0.17589, and quantile values: 0.25 0.056052\n0.50 0.175890\n0.75 0.700765\nName: 16038, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.0732085558030628, std values: 4.518163216576734, min values: 1.3096e-08, max values: 37.357, median values: 0.078847, and quantile values: 0.25 0.017626\n0.50 0.078847\n0.75 0.417100\nName: 16039, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.307061341643648, std values: 4.750688283891405, min values: 1.551e-07, max values: 39.095, median values: 0.17162, and quantile values: 0.25 0.041454\n0.50 0.171620\n0.75 0.648250\nName: 16040, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3842031215100628, std values: 5.151017679944345, min values: 3.4881e-06, max values: 42.353, median values: 0.18928, and quantile values: 0.25 0.049870\n0.50 0.189280\n0.75 0.703025\nName: 16041, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.49977151394522, std values: 4.924767577992391, min values: 9.9679e-07, max values: 40.281, median values: 0.21654, and quantile values: 0.25 0.063691\n0.50 0.216540\n0.75 0.909020\nName: 16042, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7005890232352199, std values: 5.106654376578286, min values: 2.9608e-06, max values: 40.232, median values: 0.28225, and quantile values: 0.25 0.086307\n0.50 0.282250\n0.75 1.129750\nName: 16043, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.473662807428931, std values: 5.31745306192031, min values: 2.6151e-06, max values: 45.855, median values: 0.22151, and quantile values: 0.25 0.057498\n0.50 0.221510\n0.75 0.847570\nName: 16044, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3793948536503147, std values: 4.795825976982791, min values: 1.9578e-06, max values: 39.497, median values: 0.20738, and quantile values: 0.25 0.058135\n0.50 0.207380\n0.75 0.813315\nName: 16045, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6752444327345912, std values: 4.9702645962315914, min values: 1.089e-06, max values: 39.042, median values: 0.25942, and quantile values: 0.25 0.073124\n0.50 0.259420\n0.75 1.137350\nName: 16046, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4667444515370442, std values: 4.846788073300293, min values: 1.5969e-07, max values: 39.664, median values: 0.22778, and quantile values: 0.25 0.048034\n0.50 0.227780\n0.75 0.927475\nName: 16047, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.224075815493799, std values: 4.510964047985183, min values: 2.0434e-08, max values: 36.625, median values: 0.14265, and quantile values: 0.25 0.039148\n0.50 0.142650\n0.75 0.621620\nName: 16048, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.332354757934717, std values: 4.678481580957121, min values: 2.396e-07, max values: 37.477, median values: 0.19419, and quantile values: 0.25 0.047772\n0.50 0.194190\n0.75 0.714635\nName: 16049, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3911553248151256, std values: 4.812905101914507, min values: 1.6784e-08, max values: 40.855, median values: 0.1621, and quantile values: 0.25 0.033385\n0.50 0.162100\n0.75 0.759675\nName: 16050, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5715856698496855, std values: 5.21739784151293, min values: 2.7971e-06, max values: 43.635, median values: 0.21112, and quantile values: 0.25 0.072109\n0.50 0.211120\n0.75 0.908865\nName: 16051, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7425086320031444, std values: 5.1185548495290005, min values: 9.161e-07, max values: 41.421, median values: 0.3142, and quantile values: 0.25 0.078261\n0.50 0.314200\n0.75 1.221250\nName: 16052, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4007982924397486, std values: 4.868948065124227, min values: 7.8372e-07, max values: 39.832, median values: 0.18084, and quantile values: 0.25 0.053158\n0.50 0.180840\n0.75 0.781645\nName: 16053, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5449748856836478, std values: 4.953195273000661, min values: 5.069e-06, max values: 40.941, median values: 0.25541, and quantile values: 0.25 0.078161\n0.50 0.255410\n0.75 0.935830\nName: 16054, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4455670918522014, std values: 5.170146344825229, min values: 2.5174e-06, max values: 42.611, median values: 0.20571, and quantile values: 0.25 0.055897\n0.50 0.205710\n0.75 0.839615\nName: 16055, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7295098355032703, std values: 5.311993500599208, min values: 5.7682e-07, max values: 45.738, median values: 0.29785, and quantile values: 0.25 0.070659\n0.50 0.297850\n0.75 1.221750\nName: 16056, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4792306352777358, std values: 4.713872501795591, min values: 7.1356e-07, max values: 37.929, median values: 0.22656, and quantile values: 0.25 0.066611\n0.50 0.226560\n0.75 0.948425\nName: 16057, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4654185827584907, std values: 4.752986130768192, min values: 1.0449e-06, max values: 38.362, median values: 0.2227, and quantile values: 0.25 0.067529\n0.50 0.222700\n0.75 0.977810\nName: 16058, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7497671337135847, std values: 4.921316412835975, min values: 5.0646e-07, max values: 37.892, median values: 0.30047, and quantile values: 0.25 0.075851\n0.50 0.300470\n0.75 1.259150\nName: 16059, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4962612783913207, std values: 4.922899494302867, min values: 4.1762e-07, max values: 39.919, median values: 0.22584, and quantile values: 0.25 0.057242\n0.50 0.225840\n0.75 0.934190\nName: 16060, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3519417185754716, std values: 4.740259246442612, min values: 2.0501e-06, max values: 39.192, median values: 0.20484, and quantile values: 0.25 0.061894\n0.50 0.204840\n0.75 0.804090\nName: 16061, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5497390349262894, std values: 4.853628471811069, min values: 3.9188e-07, max values: 38.955, median values: 0.23139, and quantile values: 0.25 0.066916\n0.50 0.231390\n0.75 0.984235\nName: 16062, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.479993159784088, std values: 4.75035447428877, min values: 5.0727e-07, max values: 38.134, median values: 0.22041, and quantile values: 0.25 0.064884\n0.50 0.220410\n0.75 0.974405\nName: 16063, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6159715849295597, std values: 5.11098826935292, min values: 1.9509e-06, max values: 41.91, median values: 0.25135, and quantile values: 0.25 0.076886\n0.50 0.251350\n0.75 1.036470\nName: 16064, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4080643025986164, std values: 4.795208467341962, min values: 0.0, max values: 37.919, median values: 0.18487, and quantile values: 0.25 0.051574\n0.50 0.184870\n0.75 0.786905\nName: 16065, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.374462385093239, std values: 4.811139952848599, min values: 1.6673e-08, max values: 40.622, median values: 0.13795, and quantile values: 0.25 0.033339\n0.50 0.137950\n0.75 0.740820\nName: 16066, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.518924051458491, std values: 4.7915458143575185, min values: 2.8367e-06, max values: 39.935, median values: 0.26995, and quantile values: 0.25 0.069484\n0.50 0.269950\n0.75 0.932025\nName: 16067, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8199374594691824, std values: 5.359653802324962, min values: 1.9406e-06, max values: 44.63, median values: 0.31845, and quantile values: 0.25 0.084412\n0.50 0.318450\n0.75 1.261400\nName: 16068, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3372847483622643, std values: 4.805083220294011, min values: 3.5678e-06, max values: 40.526, median values: 0.18827, and quantile values: 0.25 0.054855\n0.50 0.188270\n0.75 0.712330\nName: 16069, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6643446022549686, std values: 5.246620833773278, min values: 7.7884e-07, max values: 44.961, median values: 0.26223, and quantile values: 0.25 0.072015\n0.50 0.262230\n0.75 1.085150\nName: 16070, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5176913668713834, std values: 4.9562998045538915, min values: 3.4515e-07, max values: 40.68, median values: 0.23819, and quantile values: 0.25 0.062678\n0.50 0.238190\n0.75 0.905640\nName: 16071, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5172397547037735, std values: 4.870416822722071, min values: 3.7979e-06, max values: 40.299, median values: 0.2523, and quantile values: 0.25 0.067514\n0.50 0.252300\n0.75 0.845470\nName: 16072, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6703029292056601, std values: 4.980689257600674, min values: 2.1642e-06, max values: 39.278, median values: 0.29801, and quantile values: 0.25 0.08460\n0.50 0.29801\n0.75 1.14195\nName: 16073, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3612590228144652, std values: 4.7005974731152325, min values: 1.2669e-06, max values: 38.702, median values: 0.20949, and quantile values: 0.25 0.058831\n0.50 0.209490\n0.75 0.766320\nName: 16074, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4799219774398114, std values: 5.094075892009409, min values: 1.7523e-07, max values: 44.548, median values: 0.21636, and quantile values: 0.25 0.055289\n0.50 0.216360\n0.75 0.813325\nName: 16075, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7465136751396226, std values: 5.188666288458386, min values: 2.3465e-06, max values: 41.972, median values: 0.3192, and quantile values: 0.25 0.078595\n0.50 0.319200\n0.75 1.179250\nName: 16076, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3502610823320753, std values: 4.777920679690676, min values: 1.2506e-06, max values: 38.073, median values: 0.20674, and quantile values: 0.25 0.062085\n0.50 0.206740\n0.75 0.814845\nName: 16077, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3087034705037734, std values: 4.7173139874731955, min values: 5.869e-07, max values: 38.375, median values: 0.18021, and quantile values: 0.25 0.049713\n0.50 0.180210\n0.75 0.751020\nName: 16078, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4706625895044025, std values: 4.8324813188393, min values: 3.4809e-06, max values: 40.209, median values: 0.23875, and quantile values: 0.25 0.068220\n0.50 0.238750\n0.75 0.870885\nName: 16079, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4766936110893711, std values: 4.931390475723552, min values: 1.3455e-07, max values: 41.125, median values: 0.21154, and quantile values: 0.25 0.056612\n0.50 0.211540\n0.75 0.959025\nName: 16080, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.579057953927673, std values: 4.95017824069334, min values: 3.641e-06, max values: 39.481, median values: 0.25522, and quantile values: 0.25 0.07699\n0.50 0.25522\n0.75 0.98674\nName: 16081, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6855891546213209, std values: 5.189875994999883, min values: 1.5199e-07, max values: 43.717, median values: 0.23552, and quantile values: 0.25 0.061973\n0.50 0.235520\n0.75 1.203600\nName: 16082, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3472675438881758, std values: 4.597789203954457, min values: 9.8222e-07, max values: 38.562, median values: 0.17744, and quantile values: 0.25 0.052593\n0.50 0.177440\n0.75 0.794610\nName: 16083, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5493483304144653, std values: 5.035847830739935, min values: 2.5762e-06, max values: 40.94, median values: 0.25745, and quantile values: 0.25 0.071185\n0.50 0.257450\n0.75 0.923785\nName: 16084, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5890637100484277, std values: 4.994138253045732, min values: 5.2893e-06, max values: 41.136, median values: 0.26299, and quantile values: 0.25 0.075569\n0.50 0.262990\n0.75 0.941015\nName: 16085, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.308407227624151, std values: 5.106868433452425, min values: 4.9144e-07, max values: 45.455, median values: 0.15517, and quantile values: 0.25 0.046447\n0.50 0.155170\n0.75 0.665950\nName: 16086, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5810331328773584, std values: 5.125149412993836, min values: 2.86e-06, max values: 41.541, median values: 0.25133, and quantile values: 0.25 0.069479\n0.50 0.251330\n0.75 0.966610\nName: 16087, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.285604967022893, std values: 4.770312957558254, min values: 6.5414e-07, max values: 38.461, median values: 0.15864, and quantile values: 0.25 0.046463\n0.50 0.158640\n0.75 0.695465\nName: 16088, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5554722070512577, std values: 4.686173518646675, min values: 7.0105e-07, max values: 37.53, median values: 0.27969, and quantile values: 0.25 0.065556\n0.50 0.279690\n0.75 1.099550\nName: 16089, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3572485835980377, std values: 4.795379003423111, min values: 1.8498e-08, max values: 39.781, median values: 0.19699, and quantile values: 0.25 0.045019\n0.50 0.196990\n0.75 0.706625\nName: 16090, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3814515510962264, std values: 5.095503373456748, min values: 2.8931e-06, max values: 42.48, median values: 0.17669, and quantile values: 0.25 0.052422\n0.50 0.176690\n0.75 0.721695\nName: 16091, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3556060798814904, std values: 4.886741756245513, min values: 7.0257e-08, max values: 41.422, median values: 0.16895, and quantile values: 0.25 0.050941\n0.50 0.168950\n0.75 0.714005\nName: 16092, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4518772231345909, std values: 4.744661127871229, min values: 2.7485e-06, max values: 39.674, median values: 0.21056, and quantile values: 0.25 0.072161\n0.50 0.210560\n0.75 0.855595\nName: 16093, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.659429820336478, std values: 5.123355469372458, min values: 1.8592e-06, max values: 41.78, median values: 0.27965, and quantile values: 0.25 0.07454\n0.50 0.27965\n0.75 1.12995\nName: 16094, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4421110886777988, std values: 4.8078407073743685, min values: 4.5847e-07, max values: 38.118, median values: 0.20599, and quantile values: 0.25 0.054961\n0.50 0.205990\n0.75 0.829305\nName: 16095, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2226331291734656, std values: 5.000567105781838, min values: 1.0971e-08, max values: 44.853, median values: 0.1081, and quantile values: 0.25 0.024512\n0.50 0.108100\n0.75 0.630350\nName: 16096, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4010600268962268, std values: 4.74281274590157, min values: 1.1133e-06, max values: 38.86, median values: 0.18484, and quantile values: 0.25 0.062935\n0.50 0.184840\n0.75 0.840360\nName: 16097, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6243814178031446, std values: 5.163754253407743, min values: 1.8364e-06, max values: 43.084, median values: 0.25303, and quantile values: 0.25 0.070546\n0.50 0.253030\n0.75 1.007900\nName: 16098, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4214549682409434, std values: 4.883023553972209, min values: 2.4601e-07, max values: 39.606, median values: 0.18649, and quantile values: 0.25 0.048696\n0.50 0.186490\n0.75 0.830690\nName: 16099, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6766144301270443, std values: 5.04918805121599, min values: 4.3211e-06, max values: 39.304, median values: 0.28124, and quantile values: 0.25 0.082108\n0.50 0.281240\n0.75 1.112550\nName: 16100, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3102782190038993, std values: 4.694908009109666, min values: 2.6562e-07, max values: 37.798, median values: 0.18763, and quantile values: 0.25 0.054151\n0.50 0.187630\n0.75 0.707495\nName: 16101, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5375847796721382, std values: 5.096606190128737, min values: 5.3377e-07, max values: 42.924, median values: 0.22183, and quantile values: 0.25 0.063863\n0.50 0.221830\n0.75 0.905915\nName: 16102, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4989304327062893, std values: 4.94791017013869, min values: 2.573e-07, max values: 41.124, median values: 0.19593, and quantile values: 0.25 0.05247\n0.50 0.19593\n0.75 0.86573\nName: 16103, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3121665282483022, std values: 4.4813506455528165, min values: 5.0158e-07, max values: 38.424, median values: 0.17833, and quantile values: 0.25 0.052553\n0.50 0.178330\n0.75 0.814390\nName: 16104, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5383081568396226, std values: 4.848524168033096, min values: 1.641e-06, max values: 38.758, median values: 0.23471, and quantile values: 0.25 0.064259\n0.50 0.234710\n0.75 1.030145\nName: 16105, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6423191955685534, std values: 5.010268090546407, min values: 1.4486e-06, max values: 39.661, median values: 0.27744, and quantile values: 0.25 0.074178\n0.50 0.277440\n0.75 1.114700\nName: 16106, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4988556072986792, std values: 4.754369536836246, min values: 1.4119e-07, max values: 37.865, median values: 0.23389, and quantile values: 0.25 0.058323\n0.50 0.233890\n0.75 0.961525\nName: 16107, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.590678200581761, std values: 5.0693454276432846, min values: 4.5637e-06, max values: 40.444, median values: 0.26863, and quantile values: 0.25 0.079865\n0.50 0.268630\n0.75 0.963525\nName: 16108, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.636006186430189, std values: 5.029458842793638, min values: 3.4124e-06, max values: 39.252, median values: 0.27044, and quantile values: 0.25 0.084326\n0.50 0.270440\n0.75 1.045200\nName: 16109, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5383107916037735, std values: 5.001285937646726, min values: 2.204e-06, max values: 40.508, median values: 0.24797, and quantile values: 0.25 0.074302\n0.50 0.247970\n0.75 0.980385\nName: 16110, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3391295574320754, std values: 4.783437687757242, min values: 3.4664e-06, max values: 40.396, median values: 0.19375, and quantile values: 0.25 0.059826\n0.50 0.193750\n0.75 0.685340\nName: 16111, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3722858385672956, std values: 4.950850162401748, min values: 9.951e-07, max values: 41.481, median values: 0.19378, and quantile values: 0.25 0.054996\n0.50 0.193780\n0.75 0.787410\nName: 16112, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5399098473673585, std values: 4.931751157043572, min values: 8.2501e-07, max values: 39.198, median values: 0.22563, and quantile values: 0.25 0.06680\n0.50 0.22563\n0.75 0.96748\nName: 16113, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.642824076002516, std values: 5.101129352972419, min values: 2.7198e-06, max values: 41.248, median values: 0.26432, and quantile values: 0.25 0.073881\n0.50 0.264320\n0.75 1.121150\nName: 16114, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5374315027861636, std values: 4.875165725032177, min values: 3.0059e-06, max values: 39.288, median values: 0.26426, and quantile values: 0.25 0.063491\n0.50 0.264260\n0.75 0.946225\nName: 16115, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3792481378477988, std values: 4.876916271768324, min values: 2.2839e-06, max values: 40.214, median values: 0.18993, and quantile values: 0.25 0.056295\n0.50 0.189930\n0.75 0.736755\nName: 16116, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3843142045977987, std values: 4.583630357422301, min values: 4.1745e-07, max values: 37.816, median values: 0.2084, and quantile values: 0.25 0.054443\n0.50 0.208400\n0.75 0.834925\nName: 16117, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5355784821597485, std values: 4.858347559976296, min values: 3.7489e-06, max values: 39.039, median values: 0.24252, and quantile values: 0.25 0.069440\n0.50 0.242520\n0.75 0.941655\nName: 16118, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5248065570004403, std values: 4.926334413202722, min values: 9.1907e-07, max values: 39.311, median values: 0.21806, and quantile values: 0.25 0.064995\n0.50 0.218060\n0.75 0.929960\nName: 16119, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4316501241415092, std values: 4.774633066708633, min values: 1.5813e-06, max values: 37.568, median values: 0.16528, and quantile values: 0.25 0.044338\n0.50 0.165280\n0.75 0.776385\nName: 16120, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4215084735937107, std values: 5.105452718972462, min values: 1.8984e-06, max values: 43.149, median values: 0.22466, and quantile values: 0.25 0.060014\n0.50 0.224660\n0.75 0.748365\nName: 16121, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3208073326748428, std values: 4.7514011141248425, min values: 1.356e-06, max values: 38.863, median values: 0.20249, and quantile values: 0.25 0.058117\n0.50 0.202490\n0.75 0.785560\nName: 16122, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3579022304088049, std values: 4.8473508939194865, min values: 1.8707e-06, max values: 39.152, median values: 0.19094, and quantile values: 0.25 0.061244\n0.50 0.190940\n0.75 0.734430\nName: 16123, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.476426758537107, std values: 4.823588227002686, min values: 4.5382e-06, max values: 39.845, median values: 0.21807, and quantile values: 0.25 0.073846\n0.50 0.218070\n0.75 0.871490\nName: 16124, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3228152522104089, std values: 4.422138842729213, min values: 1.8905e-08, max values: 35.862, median values: 0.16666, and quantile values: 0.25 0.042348\n0.50 0.166660\n0.75 0.725780\nName: 16125, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3230846797488867, std values: 4.600562102932118, min values: 1.6325e-08, max values: 37.171, median values: 0.14967, and quantile values: 0.25 0.03031\n0.50 0.14967\n0.75 0.69108\nName: 16126, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5156553196044027, std values: 4.896220656200484, min values: 2.426e-06, max values: 39.791, median values: 0.24779, and quantile values: 0.25 0.067211\n0.50 0.247790\n0.75 0.915070\nName: 16127, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.518602221293711, std values: 4.813699404751547, min values: 2.5585e-06, max values: 39.215, median values: 0.25252, and quantile values: 0.25 0.071438\n0.50 0.252520\n0.75 1.028950\nName: 16128, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.731178515713396, std values: 5.186754768256157, min values: 4.8073e-07, max values: 43.168, median values: 0.30735, and quantile values: 0.25 0.078599\n0.50 0.307350\n0.75 1.214450\nName: 16129, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3168026810829685, std values: 4.5997181997750864, min values: 2.3292e-08, max values: 37.17, median values: 0.17279, and quantile values: 0.25 0.052748\n0.50 0.172790\n0.75 0.711850\nName: 16130, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.400328387137107, std values: 4.978989002074279, min values: 1.1748e-06, max values: 41.245, median values: 0.2038, and quantile values: 0.25 0.058909\n0.50 0.203800\n0.75 0.727200\nName: 16131, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5641443053515722, std values: 4.912518134398561, min values: 2.8038e-06, max values: 39.491, median values: 0.29599, and quantile values: 0.25 0.071471\n0.50 0.295990\n0.75 1.018100\nName: 16132, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3806575515910504, std values: 4.7677184254915, min values: 3.0197e-08, max values: 38.891, median values: 0.19073, and quantile values: 0.25 0.048967\n0.50 0.190730\n0.75 0.774310\nName: 16133, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5722449125232705, std values: 4.93471749121116, min values: 2.658e-06, max values: 39.416, median values: 0.24636, and quantile values: 0.25 0.071299\n0.50 0.246360\n0.75 1.017410\nName: 16134, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.370170175246541, std values: 4.84311558973834, min values: 2.8482e-06, max values: 39.895, median values: 0.16827, and quantile values: 0.25 0.055159\n0.50 0.168270\n0.75 0.695200\nName: 16135, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4608532179816038, std values: 4.965269651694528, min values: 1.845e-08, max values: 43.651, median values: 0.18518, and quantile values: 0.25 0.039739\n0.50 0.185180\n0.75 0.788715\nName: 16136, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4852562825005031, std values: 4.812741164066189, min values: 4.3378e-07, max values: 38.59, median values: 0.21124, and quantile values: 0.25 0.055608\n0.50 0.211240\n0.75 0.894190\nName: 16137, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6185568487232702, std values: 5.148716456405286, min values: 1.4647e-06, max values: 42.645, median values: 0.23177, and quantile values: 0.25 0.068406\n0.50 0.231770\n0.75 1.013100\nName: 16138, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5986169660654088, std values: 4.797560438546818, min values: 2.0989e-06, max values: 38.174, median values: 0.29588, and quantile values: 0.25 0.080832\n0.50 0.295880\n0.75 1.101000\nName: 16139, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3411013638001006, std values: 4.736321602834893, min values: 1.6111e-08, max values: 39.212, median values: 0.13235, and quantile values: 0.25 0.025864\n0.50 0.132350\n0.75 0.722830\nName: 16140, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4559446154981133, std values: 4.934066923061801, min values: 1.6549e-06, max values: 40.235, median values: 0.22, and quantile values: 0.25 0.061772\n0.50 0.220000\n0.75 0.898110\nName: 16141, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4883350746327044, std values: 4.9275371060006306, min values: 2.8685e-06, max values: 39.646, median values: 0.24693, and quantile values: 0.25 0.064271\n0.50 0.246930\n0.75 0.868945\nName: 16142, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5446174011144653, std values: 5.138116938930866, min values: 3.2825e-06, max values: 41.675, median values: 0.23336, and quantile values: 0.25 0.071527\n0.50 0.233360\n0.75 0.900130\nName: 16143, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2630424605183648, std values: 4.7177510200765544, min values: 3.891e-08, max values: 39.245, median values: 0.12935, and quantile values: 0.25 0.032129\n0.50 0.129350\n0.75 0.619875\nName: 16144, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4468378177729557, std values: 4.890188762267799, min values: 2.6122e-06, max values: 39.803, median values: 0.20269, and quantile values: 0.25 0.064114\n0.50 0.202690\n0.75 0.927830\nName: 16145, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.698719635327673, std values: 5.256290404928478, min values: 3.7445e-06, max values: 43.102, median values: 0.28602, and quantile values: 0.25 0.075533\n0.50 0.286020\n0.75 1.112910\nName: 16146, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3934612129968553, std values: 5.01723638739883, min values: 4.7233e-06, max values: 41.589, median values: 0.18699, and quantile values: 0.25 0.055776\n0.50 0.186990\n0.75 0.672395\nName: 16147, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4503027347943396, std values: 4.852562052023926, min values: 1.0319e-06, max values: 39.58, median values: 0.21685, and quantile values: 0.25 0.066373\n0.50 0.216850\n0.75 0.898605\nName: 16148, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8556199361339623, std values: 5.258125190022989, min values: 3.1111e-06, max values: 41.709, median values: 0.33565, and quantile values: 0.25 0.096885\n0.50 0.335650\n0.75 1.331250\nName: 16149, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2810067861918237, std values: 4.804498741854343, min values: 1.5331e-06, max values: 38.787, median values: 0.17283, and quantile values: 0.25 0.055456\n0.50 0.172830\n0.75 0.658545\nName: 16150, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4830926842465408, std values: 5.030653608845297, min values: 1.1472e-06, max values: 42.419, median values: 0.22414, and quantile values: 0.25 0.069795\n0.50 0.224140\n0.75 0.842830\nName: 16151, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5422209006798744, std values: 4.979076413391587, min values: 3.4806e-06, max values: 40.417, median values: 0.22644, and quantile values: 0.25 0.06766\n0.50 0.22644\n0.75 0.92055\nName: 16152, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5338400869780502, std values: 4.992070687217495, min values: 4.9641e-07, max values: 41.461, median values: 0.19124, and quantile values: 0.25 0.046945\n0.50 0.191240\n0.75 0.885140\nName: 16153, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5502231360186163, std values: 5.045540945743048, min values: 1.7286e-07, max values: 42.206, median values: 0.23185, and quantile values: 0.25 0.060903\n0.50 0.231850\n0.75 0.927740\nName: 16154, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6460064486591195, std values: 5.085961725336145, min values: 1.848e-06, max values: 40.563, median values: 0.24766, and quantile values: 0.25 0.071294\n0.50 0.247660\n0.75 1.032400\nName: 16155, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5960890799842768, std values: 5.14193487245348, min values: 4.4475e-06, max values: 40.629, median values: 0.26309, and quantile values: 0.25 0.073275\n0.50 0.263090\n0.75 0.902625\nName: 16156, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4690640187396227, std values: 4.993968499393499, min values: 1.6789e-06, max values: 41.174, median values: 0.22709, and quantile values: 0.25 0.066076\n0.50 0.227090\n0.75 0.801405\nName: 16157, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4782590010349057, std values: 4.9660722014207686, min values: 1.835e-08, max values: 41.788, median values: 0.20893, and quantile values: 0.25 0.049214\n0.50 0.208930\n0.75 0.800440\nName: 16158, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5919294386672957, std values: 4.793743185460619, min values: 3.0252e-06, max values: 39.16, median values: 0.25428, and quantile values: 0.25 0.086151\n0.50 0.254280\n0.75 1.046100\nName: 16159, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4830930254327044, std values: 5.002210119314828, min values: 1.855e-06, max values: 40.718, median values: 0.26826, and quantile values: 0.25 0.064749\n0.50 0.268260\n0.75 0.965415\nName: 16160, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4596748724410693, std values: 4.707251033370475, min values: 9.8843e-07, max values: 39.256, median values: 0.21898, and quantile values: 0.25 0.062152\n0.50 0.218980\n0.75 0.958525\nName: 16161, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8243967802484278, std values: 5.637892150692511, min values: 4.8947e-06, max values: 47.645, median values: 0.30607, and quantile values: 0.25 0.089761\n0.50 0.306070\n0.75 1.179950\nName: 16162, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.413605275108805, std values: 5.075130174618159, min values: 2.8528e-06, max values: 42.166, median values: 0.19074, and quantile values: 0.25 0.068882\n0.50 0.190740\n0.75 0.705505\nName: 16163, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4274668578057297, std values: 4.875618885802735, min values: 6.4011e-08, max values: 39.643, median values: 0.22131, and quantile values: 0.25 0.056298\n0.50 0.221310\n0.75 0.873215\nName: 16164, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3999965113861634, std values: 4.801428239923118, min values: 1.2663e-06, max values: 38.66, median values: 0.20797, and quantile values: 0.25 0.066221\n0.50 0.207970\n0.75 0.815395\nName: 16165, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3769665384854088, std values: 4.877975286553218, min values: 7.6428e-07, max values: 39.191, median values: 0.17662, and quantile values: 0.25 0.055818\n0.50 0.176620\n0.75 0.794325\nName: 16166, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4552974880836476, std values: 5.039283831920857, min values: 1.8615e-06, max values: 42.335, median values: 0.227, and quantile values: 0.25 0.071660\n0.50 0.227000\n0.75 0.855175\nName: 16167, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.350005685838239, std values: 4.7639320802639755, min values: 7.0828e-07, max values: 38.51, median values: 0.16458, and quantile values: 0.25 0.053177\n0.50 0.164580\n0.75 0.747940\nName: 16168, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6670569135616355, std values: 5.046070404572931, min values: 2.2678e-06, max values: 39.465, median values: 0.29853, and quantile values: 0.25 0.084296\n0.50 0.298530\n0.75 1.129000\nName: 16169, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.591455209965346, std values: 4.976303503658915, min values: 1.7619e-07, max values: 40.813, median values: 0.25165, and quantile values: 0.25 0.059071\n0.50 0.251650\n0.75 1.096400\nName: 16170, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5568748246348425, std values: 5.019717088545166, min values: 4.4384e-07, max values: 41.738, median values: 0.2338, and quantile values: 0.25 0.060674\n0.50 0.233800\n0.75 0.956405\nName: 16171, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6123140220015726, std values: 4.915636853888574, min values: 2.4209e-07, max values: 39.492, median values: 0.25383, and quantile values: 0.25 0.057854\n0.50 0.253830\n0.75 1.051700\nName: 16172, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.838320674984906, std values: 5.363863269650047, min values: 2.6316e-06, max values: 43.908, median values: 0.31553, and quantile values: 0.25 0.083743\n0.50 0.315530\n0.75 1.316100\nName: 16173, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5580415368698115, std values: 4.998452321956412, min values: 1.9419e-06, max values: 39.766, median values: 0.24364, and quantile values: 0.25 0.066358\n0.50 0.243640\n0.75 1.037550\nName: 16174, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6285490362320754, std values: 4.9995266585754035, min values: 3.222e-06, max values: 39.697, median values: 0.26915, and quantile values: 0.25 0.076066\n0.50 0.269150\n0.75 1.119350\nName: 16175, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4411410981415094, std values: 4.626128736095965, min values: 7.748e-07, max values: 38.386, median values: 0.21428, and quantile values: 0.25 0.064098\n0.50 0.214280\n0.75 0.982620\nName: 16176, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4342145279817609, std values: 5.005516823558523, min values: 3.0002e-06, max values: 40.829, median values: 0.22267, and quantile values: 0.25 0.059735\n0.50 0.222670\n0.75 0.787980\nName: 16177, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7823568643597485, std values: 5.141162259314279, min values: 4.9142e-06, max values: 40.225, median values: 0.27573, and quantile values: 0.25 0.083966\n0.50 0.275730\n0.75 1.235550\nName: 16178, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4920459556140881, std values: 5.15114016344661, min values: 3.8544e-07, max values: 44.228, median values: 0.20871, and quantile values: 0.25 0.058044\n0.50 0.208710\n0.75 0.893725\nName: 16179, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.745883806799371, std values: 5.315974226021425, min values: 4.7775e-06, max values: 42.96, median values: 0.28086, and quantile values: 0.25 0.078395\n0.50 0.280860\n0.75 1.145300\nName: 16180, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5003373787325784, std values: 4.969362078559491, min values: 7.9188e-07, max values: 40.355, median values: 0.22032, and quantile values: 0.25 0.061574\n0.50 0.220320\n0.75 0.953145\nName: 16181, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.525130224135849, std values: 5.000341399063916, min values: 2.9618e-06, max values: 40.963, median values: 0.2387, and quantile values: 0.25 0.062603\n0.50 0.238700\n0.75 0.894500\nName: 16182, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2711087047578615, std values: 4.895265509421922, min values: 6.259e-07, max values: 40.953, median values: 0.16459, and quantile values: 0.25 0.041516\n0.50 0.164590\n0.75 0.575370\nName: 16183, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8874226295308176, std values: 5.676935882098581, min values: 8.1354e-06, max values: 47.077, median values: 0.34457, and quantile values: 0.25 0.094073\n0.50 0.344570\n0.75 1.155900\nName: 16184, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2610113075569622, std values: 4.753195441661495, min values: 2.6707e-08, max values: 39.453, median values: 0.18078, and quantile values: 0.25 0.042011\n0.50 0.180780\n0.75 0.643130\nName: 16185, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5672957472911948, std values: 4.804587867041647, min values: 1.3067e-06, max values: 38.308, median values: 0.25822, and quantile values: 0.25 0.076712\n0.50 0.258220\n0.75 1.014805\nName: 16186, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5487509067977356, std values: 4.819698055798892, min values: 8.0804e-07, max values: 37.756, median values: 0.23816, and quantile values: 0.25 0.057059\n0.50 0.238160\n0.75 1.030400\nName: 16187, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.725826483237107, std values: 5.515782311209034, min values: 3.4284e-06, max values: 47.55, median values: 0.27781, and quantile values: 0.25 0.083496\n0.50 0.277810\n0.75 1.088350\nName: 16188, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3843311246336352, std values: 4.899436200580315, min values: 2.5428e-08, max values: 41.913, median values: 0.16311, and quantile values: 0.25 0.041676\n0.50 0.163110\n0.75 0.721380\nName: 16189, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2852672742186477, std values: 4.850702796434431, min values: 1.1475e-08, max values: 41.265, median values: 0.12035, and quantile values: 0.25 0.033887\n0.50 0.120350\n0.75 0.661360\nName: 16190, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4732531353572325, std values: 5.055859116657893, min values: 2.1254e-06, max values: 42.288, median values: 0.21772, and quantile values: 0.25 0.064339\n0.50 0.217720\n0.75 0.871390\nName: 16191, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.633807635565409, std values: 5.008978352523656, min values: 5.2091e-06, max values: 40.818, median values: 0.26935, and quantile values: 0.25 0.075245\n0.50 0.269350\n0.75 1.024605\nName: 16192, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3973606810123897, std values: 4.921712803832968, min values: 6.9437e-07, max values: 41.062, median values: 0.19153, and quantile values: 0.25 0.060633\n0.50 0.191530\n0.75 0.718850\nName: 16193, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4045628269207548, std values: 5.027905869478389, min values: 2.077e-06, max values: 41.207, median values: 0.20084, and quantile values: 0.25 0.061128\n0.50 0.200840\n0.75 0.797065\nName: 16194, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7750473878314463, std values: 5.706440132248151, min values: 7.9152e-06, max values: 47.293, median values: 0.29045, and quantile values: 0.25 0.064224\n0.50 0.290450\n0.75 1.096950\nName: 16195, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.41438089899478, std values: 4.659080593076956, min values: 7.9087e-07, max values: 37.695, median values: 0.19956, and quantile values: 0.25 0.05990\n0.50 0.19956\n0.75 0.82336\nName: 16196, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3121770824842767, std values: 4.649823283151457, min values: 5.476e-07, max values: 38.091, median values: 0.18208, and quantile values: 0.25 0.051169\n0.50 0.182080\n0.75 0.773815\nName: 16197, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5819533901532705, std values: 4.980985328494406, min values: 8.9197e-07, max values: 40.262, median values: 0.23125, and quantile values: 0.25 0.062918\n0.50 0.231250\n0.75 0.992055\nName: 16198, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5830163808265407, std values: 4.953490331538418, min values: 3.5152e-07, max values: 40.68, median values: 0.24745, and quantile values: 0.25 0.060898\n0.50 0.247450\n0.75 1.083145\nName: 16199, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3942596796138365, std values: 4.603500954758661, min values: 1.6086e-06, max values: 38.925, median values: 0.1984, and quantile values: 0.25 0.053014\n0.50 0.198400\n0.75 0.857275\nName: 16200, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4271241805603776, std values: 4.887784143980223, min values: 4.1909e-06, max values: 41.156, median values: 0.19937, and quantile values: 0.25 0.064359\n0.50 0.199370\n0.75 0.741730\nName: 16201, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.496595479291824, std values: 5.045777529772998, min values: 3.2761e-06, max values: 40.533, median values: 0.21008, and quantile values: 0.25 0.067160\n0.50 0.210080\n0.75 0.877625\nName: 16202, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4555702186257862, std values: 4.87063117781562, min values: 1.6869e-06, max values: 38.701, median values: 0.23219, and quantile values: 0.25 0.062455\n0.50 0.232190\n0.75 0.890740\nName: 16203, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3736333328180002, std values: 4.441295161324875, min values: 1.7912e-08, max values: 36.385, median values: 0.16622, and quantile values: 0.25 0.043037\n0.50 0.166220\n0.75 0.839495\nName: 16204, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6783041206698113, std values: 5.245208553739857, min values: 5.0727e-06, max values: 41.621, median values: 0.28547, and quantile values: 0.25 0.071276\n0.50 0.285470\n0.75 1.036760\nName: 16205, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.515158420865849, std values: 4.925081930243885, min values: 9.7507e-07, max values: 39.781, median values: 0.26222, and quantile values: 0.25 0.074981\n0.50 0.262220\n0.75 0.905585\nName: 16206, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.466577289315723, std values: 5.15947425219211, min values: 1.6715e-06, max values: 42.931, median values: 0.21796, and quantile values: 0.25 0.058692\n0.50 0.217960\n0.75 0.813600\nName: 16207, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4753547339572326, std values: 5.3266152006299805, min values: 2.5824e-06, max values: 45.833, median values: 0.20017, and quantile values: 0.25 0.062602\n0.50 0.200170\n0.75 0.797505\nName: 16208, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6191846535592451, std values: 4.960215690089106, min values: 2.9122e-07, max values: 40.019, median values: 0.25614, and quantile values: 0.25 0.062863\n0.50 0.256140\n0.75 0.946585\nName: 16209, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4306952294374153, std values: 4.730097935955273, min values: 5.5349e-08, max values: 37.343, median values: 0.20771, and quantile values: 0.25 0.054455\n0.50 0.207710\n0.75 0.859130\nName: 16210, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3198927697598302, std values: 4.724603263629099, min values: 3.9413e-08, max values: 37.985, median values: 0.19576, and quantile values: 0.25 0.057277\n0.50 0.195760\n0.75 0.761080\nName: 16211, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5462498933069184, std values: 5.149807419336308, min values: 1.4112e-06, max values: 42.349, median values: 0.20326, and quantile values: 0.25 0.064507\n0.50 0.203260\n0.75 0.970460\nName: 16212, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5316658957822389, std values: 5.08015296445051, min values: 1.9236e-08, max values: 43.882, median values: 0.17433, and quantile values: 0.25 0.040852\n0.50 0.174330\n0.75 0.848250\nName: 16213, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4172797009062894, std values: 4.855373731607211, min values: 1.6862e-06, max values: 39.332, median values: 0.20759, and quantile values: 0.25 0.056140\n0.50 0.207590\n0.75 0.860165\nName: 16214, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.398588702491239, std values: 4.81370152326928, min values: 1.9007e-08, max values: 38.879, median values: 0.18324, and quantile values: 0.25 0.050350\n0.50 0.183240\n0.75 0.856125\nName: 16215, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6543459490779873, std values: 4.949196332911444, min values: 5.4142e-06, max values: 40.98, median values: 0.27362, and quantile values: 0.25 0.074678\n0.50 0.273620\n0.75 1.055300\nName: 16216, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.465612919338365, std values: 4.7243979775405185, min values: 1.8815e-06, max values: 38.831, median values: 0.25999, and quantile values: 0.25 0.060965\n0.50 0.259990\n0.75 0.882735\nName: 16217, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3320747477752015, std values: 4.655969945397368, min values: 2.4833e-08, max values: 37.483, median values: 0.15775, and quantile values: 0.25 0.034977\n0.50 0.157750\n0.75 0.697980\nName: 16218, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4175881167069184, std values: 4.579527937969934, min values: 1.7049e-06, max values: 38.138, median values: 0.21946, and quantile values: 0.25 0.068667\n0.50 0.219460\n0.75 0.875235\nName: 16219, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5237983889612579, std values: 5.020818059231649, min values: 5.2204e-07, max values: 40.872, median values: 0.21721, and quantile values: 0.25 0.053608\n0.50 0.217210\n0.75 1.029445\nName: 16220, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5329334038239621, std values: 4.852156485017181, min values: 7.9821e-07, max values: 39.061, median values: 0.23753, and quantile values: 0.25 0.058627\n0.50 0.237530\n0.75 0.994335\nName: 16221, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.675332115398742, std values: 4.963113804865289, min values: 1.071e-06, max values: 39.011, median values: 0.2919, and quantile values: 0.25 0.07587\n0.50 0.29190\n0.75 1.18420\nName: 16222, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5128187268993711, std values: 5.058560050061668, min values: 1.0113e-06, max values: 42.286, median values: 0.24627, and quantile values: 0.25 0.067552\n0.50 0.246270\n0.75 0.885290\nName: 16223, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6083916950685535, std values: 4.841543810682176, min values: 1.2826e-06, max values: 38.698, median values: 0.25275, and quantile values: 0.25 0.065193\n0.50 0.252750\n0.75 1.043400\nName: 16224, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7700394259207546, std values: 5.116621922981793, min values: 4.701e-06, max values: 39.761, median values: 0.2837, and quantile values: 0.25 0.096252\n0.50 0.283700\n0.75 1.075600\nName: 16225, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.486612261654088, std values: 4.884007447086259, min values: 1.3312e-06, max values: 38.938, median values: 0.21756, and quantile values: 0.25 0.065903\n0.50 0.217560\n0.75 0.854015\nName: 16226, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4077836132544026, std values: 4.774417706291969, min values: 1.3075e-07, max values: 38.636, median values: 0.18254, and quantile values: 0.25 0.048329\n0.50 0.182540\n0.75 0.739905\nName: 16227, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5058203413233961, std values: 5.078688537362702, min values: 2.8692e-07, max values: 42.421, median values: 0.19187, and quantile values: 0.25 0.051039\n0.50 0.191870\n0.75 0.946985\nName: 16228, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6476334570377358, std values: 5.015658781726403, min values: 5.3702e-06, max values: 40.374, median values: 0.25435, and quantile values: 0.25 0.079062\n0.50 0.254350\n0.75 1.035800\nName: 16229, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6066303757025158, std values: 4.825589556146399, min values: 1.2933e-06, max values: 37.63, median values: 0.25336, and quantile values: 0.25 0.084991\n0.50 0.253360\n0.75 1.059240\nName: 16230, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3312343116431822, std values: 4.613201918556915, min values: 2.0006e-08, max values: 36.861, median values: 0.18011, and quantile values: 0.25 0.041524\n0.50 0.180110\n0.75 0.715580\nName: 16231, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1545926182253459, std values: 4.346396111235901, min values: 3.1697e-07, max values: 36.311, median values: 0.14211, and quantile values: 0.25 0.042681\n0.50 0.142110\n0.75 0.587210\nName: 16232, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5064817225364782, std values: 4.877902243015451, min values: 2.9478e-06, max values: 39.365, median values: 0.26081, and quantile values: 0.25 0.076456\n0.50 0.260810\n0.75 0.921350\nName: 16233, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3761124478641509, std values: 4.776121583802025, min values: 1.317e-06, max values: 39.235, median values: 0.22155, and quantile values: 0.25 0.062702\n0.50 0.221550\n0.75 0.821090\nName: 16234, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2772089754983018, std values: 4.72461625484009, min values: 2.8453e-07, max values: 38.532, median values: 0.15951, and quantile values: 0.25 0.043761\n0.50 0.159510\n0.75 0.685165\nName: 16235, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.361624529647107, std values: 4.850418359837159, min values: 1.9697e-07, max values: 40.974, median values: 0.16244, and quantile values: 0.25 0.045139\n0.50 0.162440\n0.75 0.717415\nName: 16236, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.412023087102264, std values: 4.767022094520021, min values: 9.5756e-07, max values: 38.583, median values: 0.21107, and quantile values: 0.25 0.056085\n0.50 0.211070\n0.75 0.799375\nName: 16237, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5658357955215723, std values: 4.990273169009807, min values: 3.259e-08, max values: 41.766, median values: 0.25569, and quantile values: 0.25 0.047029\n0.50 0.255690\n0.75 1.054150\nName: 16238, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.680432854616352, std values: 4.92777358142918, min values: 3.2869e-06, max values: 39.988, median values: 0.26238, and quantile values: 0.25 0.080991\n0.50 0.262380\n0.75 1.111800\nName: 16239, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.364731179726415, std values: 4.738175075660721, min values: 2.8018e-06, max values: 39.15, median values: 0.19215, and quantile values: 0.25 0.065977\n0.50 0.192150\n0.75 0.757560\nName: 16240, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3901640230123145, std values: 4.774894695968829, min values: 1.7958e-08, max values: 38.005, median values: 0.19085, and quantile values: 0.25 0.049970\n0.50 0.190850\n0.75 0.748415\nName: 16241, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6960544252557233, std values: 4.906403490319401, min values: 6.2286e-07, max values: 37.623, median values: 0.23977, and quantile values: 0.25 0.062268\n0.50 0.239770\n0.75 1.152000\nName: 16242, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.544789173409755, std values: 4.836396261777275, min values: 2.9431e-08, max values: 38.481, median values: 0.21988, and quantile values: 0.25 0.053904\n0.50 0.219880\n0.75 1.018635\nName: 16243, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.414609828835478, std values: 4.989523537057158, min values: 2.1393e-08, max values: 44.114, median values: 0.18437, and quantile values: 0.25 0.038329\n0.50 0.184370\n0.75 0.708380\nName: 16244, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5329055318163523, std values: 4.924278466531004, min values: 1.6046e-06, max values: 39.114, median values: 0.2388, and quantile values: 0.25 0.071582\n0.50 0.238800\n0.75 0.979050\nName: 16245, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.367080359480503, std values: 4.695236696747125, min values: 1.4772e-06, max values: 38.945, median values: 0.22554, and quantile values: 0.25 0.064452\n0.50 0.225540\n0.75 0.810765\nName: 16246, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7402107900310946, std values: 5.099847196971141, min values: 3.0644e-08, max values: 41.339, median values: 0.25931, and quantile values: 0.25 0.067729\n0.50 0.259310\n0.75 1.281750\nName: 16247, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5417023782806036, std values: 4.925035658067198, min values: 2.5816e-08, max values: 41.071, median values: 0.24996, and quantile values: 0.25 0.055127\n0.50 0.249960\n0.75 1.044205\nName: 16248, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7211775743427675, std values: 5.233901154419782, min values: 1.2579e-06, max values: 43.075, median values: 0.26899, and quantile values: 0.25 0.07335\n0.50 0.26899\n0.75 1.21905\nName: 16249, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.343152187725346, std values: 4.651558732259519, min values: 3.0296e-07, max values: 37.471, median values: 0.17281, and quantile values: 0.25 0.043944\n0.50 0.172810\n0.75 0.681140\nName: 16250, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2644406792433964, std values: 4.8450733139885, min values: 2.7407e-06, max values: 39.896, median values: 0.15431, and quantile values: 0.25 0.048931\n0.50 0.154310\n0.75 0.627920\nName: 16251, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6427505492825787, std values: 5.047221804788586, min values: 9.1583e-07, max values: 41.315, median values: 0.26661, and quantile values: 0.25 0.071711\n0.50 0.266610\n0.75 1.137850\nName: 16252, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3695964351119498, std values: 4.887595498130679, min values: 2.2932e-06, max values: 39.532, median values: 0.20144, and quantile values: 0.25 0.053003\n0.50 0.201440\n0.75 0.775085\nName: 16253, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.656521573828931, std values: 5.159248714000257, min values: 3.3729e-06, max values: 41.369, median values: 0.27092, and quantile values: 0.25 0.071501\n0.50 0.270920\n0.75 1.085050\nName: 16254, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.765737990651572, std values: 5.14890034527385, min values: 4.1811e-06, max values: 39.84, median values: 0.32393, and quantile values: 0.25 0.085076\n0.50 0.323930\n0.75 1.244100\nName: 16255, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6411466069025156, std values: 5.19934769423574, min values: 4.6331e-06, max values: 42.19, median values: 0.25664, and quantile values: 0.25 0.074429\n0.50 0.256640\n0.75 1.000225\nName: 16256, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5481637102779873, std values: 5.31924780346882, min values: 2.6431e-06, max values: 45.882, median values: 0.23957, and quantile values: 0.25 0.064207\n0.50 0.239570\n0.75 0.934555\nName: 16257, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6356568840352201, std values: 4.988144584597864, min values: 3.3662e-06, max values: 39.735, median values: 0.26037, and quantile values: 0.25 0.080174\n0.50 0.260370\n0.75 1.110150\nName: 16258, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3279502429817611, std values: 4.956337676889765, min values: 1.4707e-06, max values: 41.301, median values: 0.16615, and quantile values: 0.25 0.050296\n0.50 0.166150\n0.75 0.674545\nName: 16259, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.422376378006918, std values: 4.74560885108137, min values: 3.413e-07, max values: 37.71, median values: 0.21227, and quantile values: 0.25 0.051581\n0.50 0.212270\n0.75 0.792835\nName: 16260, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.450092427936478, std values: 4.8614646189906665, min values: 3.0729e-06, max values: 40.196, median values: 0.2275, and quantile values: 0.25 0.072243\n0.50 0.227500\n0.75 0.844540\nName: 16261, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6862252842943395, std values: 5.089737622511678, min values: 2.6734e-06, max values: 40.13, median values: 0.3207, and quantile values: 0.25 0.083459\n0.50 0.320700\n0.75 1.208850\nName: 16262, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3545256916125785, std values: 5.192017961577095, min values: 1.2722e-06, max values: 45.358, median values: 0.16706, and quantile values: 0.25 0.051807\n0.50 0.167060\n0.75 0.673950\nName: 16263, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6221713491062892, std values: 5.079650762444789, min values: 5.8766e-06, max values: 40.749, median values: 0.25339, and quantile values: 0.25 0.076448\n0.50 0.253390\n0.75 0.977545\nName: 16264, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4517605588339624, std values: 4.987599710933454, min values: 1.2465e-06, max values: 41.243, median values: 0.20319, and quantile values: 0.25 0.063061\n0.50 0.203190\n0.75 0.846635\nName: 16265, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2574989320588048, std values: 4.897989075441303, min values: 4.7065e-07, max values: 41.845, median values: 0.14911, and quantile values: 0.25 0.042539\n0.50 0.149110\n0.75 0.523630\nName: 16266, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5541173253220755, std values: 4.931202278357337, min values: 5.4461e-07, max values: 39.196, median values: 0.25167, and quantile values: 0.25 0.070703\n0.50 0.251670\n0.75 0.999020\nName: 16267, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.637060181781132, std values: 5.174456929962931, min values: 3.6872e-06, max values: 41.4, median values: 0.27306, and quantile values: 0.25 0.076149\n0.50 0.273060\n0.75 1.030100\nName: 16268, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4665785773955975, std values: 4.839887158604304, min values: 1.7696e-06, max values: 39.051, median values: 0.22988, and quantile values: 0.25 0.062083\n0.50 0.229880\n0.75 0.885745\nName: 16269, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6224076412016981, std values: 5.211663717933839, min values: 5.5477e-07, max values: 44.879, median values: 0.21911, and quantile values: 0.25 0.062798\n0.50 0.219110\n0.75 1.067200\nName: 16270, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7297702228748428, std values: 5.3118501669013725, min values: 1.3734e-06, max values: 44.978, median values: 0.2915, and quantile values: 0.25 0.074802\n0.50 0.291500\n0.75 1.157450\nName: 16271, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6509629919220945, std values: 5.220268272586766, min values: 7.0013e-08, max values: 45.422, median values: 0.22795, and quantile values: 0.25 0.060308\n0.50 0.227950\n0.75 1.039910\nName: 16272, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5059541119172957, std values: 4.9149987699215325, min values: 2.4085e-07, max values: 40.716, median values: 0.22783, and quantile values: 0.25 0.060389\n0.50 0.227830\n0.75 0.896880\nName: 16273, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.742794589211918, std values: 5.195781395865841, min values: 2.9695e-08, max values: 43.914, median values: 0.27791, and quantile values: 0.25 0.072443\n0.50 0.277910\n0.75 1.290400\nName: 16274, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5257514322628931, std values: 5.0973148815186375, min values: 3.3176e-06, max values: 40.827, median values: 0.23291, and quantile values: 0.25 0.067033\n0.50 0.232910\n0.75 0.886690\nName: 16275, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.485513069062956, std values: 4.770611925016283, min values: 6.1201e-07, max values: 37.841, median values: 0.23248, and quantile values: 0.25 0.060881\n0.50 0.232480\n0.75 0.930155\nName: 16276, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6021974564606292, std values: 4.973807222860296, min values: 3.0184e-07, max values: 40.158, median values: 0.27221, and quantile values: 0.25 0.070349\n0.50 0.272210\n0.75 1.087300\nName: 16277, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2942088513597483, std values: 4.682982218758514, min values: 1.2938e-06, max values: 38.359, median values: 0.16039, and quantile values: 0.25 0.05455\n0.50 0.16039\n0.75 0.74431\nName: 16278, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5586592809534592, std values: 5.359085346574316, min values: 1.4582e-06, max values: 47.839, median values: 0.25154, and quantile values: 0.25 0.067066\n0.50 0.251540\n0.75 0.917825\nName: 16279, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5492029589679246, std values: 5.003229570739383, min values: 1.2708e-06, max values: 40.309, median values: 0.23043, and quantile values: 0.25 0.067839\n0.50 0.230430\n0.75 1.008135\nName: 16280, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4950746150545284, std values: 4.870130595712364, min values: 9.4557e-07, max values: 38.481, median values: 0.21712, and quantile values: 0.25 0.058026\n0.50 0.217120\n0.75 0.919510\nName: 16281, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6108617139245283, std values: 4.850675852653651, min values: 1.2316e-06, max values: 38.869, median values: 0.26147, and quantile values: 0.25 0.075135\n0.50 0.261470\n0.75 1.095100\nName: 16282, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2333717084679245, std values: 4.628347774289219, min values: 1.1828e-06, max values: 38.669, median values: 0.15598, and quantile values: 0.25 0.051765\n0.50 0.155980\n0.75 0.661725\nName: 16283, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8017366106245285, std values: 5.209289848298068, min values: 6.2286e-06, max values: 41.007, median values: 0.28304, and quantile values: 0.25 0.084626\n0.50 0.283040\n0.75 1.126050\nName: 16284, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4496995537937105, std values: 4.627378163042587, min values: 1.5717e-06, max values: 38.992, median values: 0.21805, and quantile values: 0.25 0.063162\n0.50 0.218050\n0.75 0.917805\nName: 16285, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5081836694403143, std values: 4.888638470768402, min values: 5.9591e-07, max values: 38.826, median values: 0.22549, and quantile values: 0.25 0.065592\n0.50 0.225490\n0.75 0.954910\nName: 16286, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3746681662251572, std values: 5.147966226312977, min values: 1.3635e-06, max values: 44.283, median values: 0.16838, and quantile values: 0.25 0.049527\n0.50 0.168380\n0.75 0.711900\nName: 16287, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5791538296660377, std values: 5.053598263501155, min values: 2.1196e-06, max values: 40.67, median values: 0.25402, and quantile values: 0.25 0.078464\n0.50 0.254020\n0.75 0.990490\nName: 16288, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2992047932345911, std values: 5.1108057905364745, min values: 1.9788e-06, max values: 43.189, median values: 0.16342, and quantile values: 0.25 0.050678\n0.50 0.163420\n0.75 0.616255\nName: 16289, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6221772905515723, std values: 4.979689106869098, min values: 1.989e-06, max values: 38.951, median values: 0.26874, and quantile values: 0.25 0.070023\n0.50 0.268740\n0.75 1.065500\nName: 16290, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.492766569892327, std values: 4.800654503602384, min values: 3.3048e-07, max values: 37.971, median values: 0.23802, and quantile values: 0.25 0.066257\n0.50 0.238020\n0.75 0.972915\nName: 16291, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4045331227522013, std values: 4.998263866638349, min values: 1.2717e-06, max values: 41.718, median values: 0.18332, and quantile values: 0.25 0.057239\n0.50 0.183320\n0.75 0.759755\nName: 16292, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.505741470809371, std values: 4.886832342604504, min values: 9.7099e-07, max values: 39.527, median values: 0.2424, and quantile values: 0.25 0.065571\n0.50 0.242400\n0.75 0.931115\nName: 16293, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5240487479358489, std values: 4.977114215725002, min values: 1.339e-06, max values: 40.192, median values: 0.24835, and quantile values: 0.25 0.070254\n0.50 0.248350\n0.75 0.959305\nName: 16294, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5104612846213836, std values: 4.84727326822245, min values: 2.1705e-06, max values: 39.676, median values: 0.24636, and quantile values: 0.25 0.069226\n0.50 0.246360\n0.75 0.896095\nName: 16295, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6328086146987417, std values: 5.141838384983535, min values: 2.9599e-06, max values: 42.105, median values: 0.27231, and quantile values: 0.25 0.074586\n0.50 0.272310\n0.75 1.063150\nName: 16296, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4898141818117612, std values: 4.671863421548185, min values: 4.5747e-07, max values: 36.941, median values: 0.25922, and quantile values: 0.25 0.065780\n0.50 0.259220\n0.75 0.987605\nName: 16297, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4218027919251575, std values: 4.784739047435807, min values: 2.8017e-06, max values: 40.115, median values: 0.20475, and quantile values: 0.25 0.067153\n0.50 0.204750\n0.75 0.838945\nName: 16298, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.819028065865409, std values: 5.189678808927146, min values: 6.1386e-06, max values: 40.244, median values: 0.31363, and quantile values: 0.25 0.100668\n0.50 0.313630\n0.75 1.141750\nName: 16299, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4566620440254088, std values: 4.642519440635513, min values: 2.218e-08, max values: 36.574, median values: 0.19377, and quantile values: 0.25 0.049762\n0.50 0.193770\n0.75 0.951840\nName: 16300, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.465277879796855, std values: 4.802405205682684, min values: 1.3481e-06, max values: 38.519, median values: 0.22806, and quantile values: 0.25 0.067757\n0.50 0.228060\n0.75 0.907210\nName: 16301, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6408870178591195, std values: 4.839824734143456, min values: 2.3691e-06, max values: 39.253, median values: 0.27481, and quantile values: 0.25 0.076524\n0.50 0.274810\n0.75 1.086600\nName: 16302, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2615664161774842, std values: 4.708981810334625, min values: 4.2332e-07, max values: 37.934, median values: 0.1585, and quantile values: 0.25 0.045876\n0.50 0.158500\n0.75 0.641670\nName: 16303, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7670376898213838, std values: 5.074070449024081, min values: 1.978e-06, max values: 39.859, median values: 0.3126, and quantile values: 0.25 0.083682\n0.50 0.312600\n0.75 1.233900\nName: 16304, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6460656703635217, std values: 5.0576167745822085, min values: 1.1176e-06, max values: 41.276, median values: 0.28453, and quantile values: 0.25 0.077614\n0.50 0.284530\n0.75 1.115450\nName: 16305, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3314792660371069, std values: 4.617615783266915, min values: 3.5754e-06, max values: 39.942, median values: 0.18782, and quantile values: 0.25 0.056872\n0.50 0.187820\n0.75 0.744790\nName: 16306, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4701624547960375, std values: 4.718836684023787, min values: 6.2837e-07, max values: 37.816, median values: 0.22351, and quantile values: 0.25 0.063156\n0.50 0.223510\n0.75 0.945430\nName: 16307, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2157782313015724, std values: 4.398665919562086, min values: 3.3219e-07, max values: 36.439, median values: 0.15705, and quantile values: 0.25 0.047173\n0.50 0.157050\n0.75 0.673480\nName: 16308, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2582635776707547, std values: 4.651499844891, min values: 1.2734e-07, max values: 37.315, median values: 0.16297, and quantile values: 0.25 0.040858\n0.50 0.162970\n0.75 0.642305\nName: 16309, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3055136360644652, std values: 4.662069296629499, min values: 7.1345e-07, max values: 37.486, median values: 0.17167, and quantile values: 0.25 0.050832\n0.50 0.171670\n0.75 0.750460\nName: 16310, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3964403707471698, std values: 4.560760442745879, min values: 1.6967e-06, max values: 39.103, median values: 0.20119, and quantile values: 0.25 0.060005\n0.50 0.201190\n0.75 0.856560\nName: 16311, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5424219974770441, std values: 4.979119450635614, min values: 8.8545e-07, max values: 41.179, median values: 0.2797, and quantile values: 0.25 0.07227\n0.50 0.27970\n0.75 1.00730\nName: 16312, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4257410207215724, std values: 5.0955349125287155, min values: 5.8943e-07, max values: 44.398, median values: 0.17707, and quantile values: 0.25 0.055495\n0.50 0.177070\n0.75 0.737295\nName: 16313, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3267396706088679, std values: 4.85624444176029, min values: 5.8141e-07, max values: 40.388, median values: 0.1878, and quantile values: 0.25 0.052071\n0.50 0.187800\n0.75 0.678635\nName: 16314, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4314888772603773, std values: 4.918587129608513, min values: 1.677e-06, max values: 39.377, median values: 0.19681, and quantile values: 0.25 0.058367\n0.50 0.196810\n0.75 0.828870\nName: 16315, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.443427074835849, std values: 4.766412442323533, min values: 2.8174e-06, max values: 40.332, median values: 0.22941, and quantile values: 0.25 0.065597\n0.50 0.229410\n0.75 0.856580\nName: 16316, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2746815798634594, std values: 4.736466496347924, min values: 2.0209e-07, max values: 39.582, median values: 0.15428, and quantile values: 0.25 0.035236\n0.50 0.154280\n0.75 0.698050\nName: 16317, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8021188390270442, std values: 5.198658594631612, min values: 6.4713e-06, max values: 40.46, median values: 0.33856, and quantile values: 0.25 0.09226\n0.50 0.33856\n0.75 1.09475\nName: 16318, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.585554175891195, std values: 4.908695799679383, min values: 3.6325e-06, max values: 39.819, median values: 0.26307, and quantile values: 0.25 0.065569\n0.50 0.263070\n0.75 1.010460\nName: 16319, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.483361915746541, std values: 4.933782533653544, min values: 3.4971e-06, max values: 39.463, median values: 0.21355, and quantile values: 0.25 0.067293\n0.50 0.213550\n0.75 0.866945\nName: 16320, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.371259057145723, std values: 4.956350713461094, min values: 3.9866e-07, max values: 42.912, median values: 0.16269, and quantile values: 0.25 0.051897\n0.50 0.162690\n0.75 0.787340\nName: 16321, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3181225338182387, std values: 4.512950137809999, min values: 1.1146e-06, max values: 37.908, median values: 0.18757, and quantile values: 0.25 0.060899\n0.50 0.187570\n0.75 0.790330\nName: 16322, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3506976703440252, std values: 4.77977257670008, min values: 3.2623e-06, max values: 39.397, median values: 0.2057, and quantile values: 0.25 0.058659\n0.50 0.205700\n0.75 0.668630\nName: 16323, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4093589887114466, std values: 4.902534343258391, min values: 1.2302e-07, max values: 40.584, median values: 0.19517, and quantile values: 0.25 0.051513\n0.50 0.195170\n0.75 0.853965\nName: 16324, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5933900384465407, std values: 4.921714770242877, min values: 2.0297e-06, max values: 38.48, median values: 0.27354, and quantile values: 0.25 0.072142\n0.50 0.273540\n0.75 1.056800\nName: 16325, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.407453007666667, std values: 5.0241731569412895, min values: 3.1974e-06, max values: 40.513, median values: 0.19471, and quantile values: 0.25 0.062034\n0.50 0.194710\n0.75 0.740795\nName: 16326, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2993830320525157, std values: 4.98521268052499, min values: 5.1105e-07, max values: 43.423, median values: 0.15011, and quantile values: 0.25 0.04619\n0.50 0.15011\n0.75 0.64299\nName: 16327, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3504424332333336, std values: 4.955019549837825, min values: 1.0795e-06, max values: 40.933, median values: 0.16329, and quantile values: 0.25 0.049675\n0.50 0.163290\n0.75 0.765035\nName: 16328, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.564785795841673, std values: 5.011311355945551, min values: 2.0526e-08, max values: 41.786, median values: 0.26296, and quantile values: 0.25 0.069407\n0.50 0.262960\n0.75 1.057600\nName: 16329, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3501353980009434, std values: 4.549169474954428, min values: 2.675e-08, max values: 37.437, median values: 0.18107, and quantile values: 0.25 0.051761\n0.50 0.181070\n0.75 0.772340\nName: 16330, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4135385321345912, std values: 5.081762876381123, min values: 1.0127e-06, max values: 43.187, median values: 0.20842, and quantile values: 0.25 0.050295\n0.50 0.208420\n0.75 0.775405\nName: 16331, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3296057454812578, std values: 4.842574234544803, min values: 1.1273e-07, max values: 41.147, median values: 0.16658, and quantile values: 0.25 0.037868\n0.50 0.166580\n0.75 0.679230\nName: 16332, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.518746620681761, std values: 5.0196383776220825, min values: 0.0, max values: 41.214, median values: 0.24321, and quantile values: 0.25 0.071497\n0.50 0.243210\n0.75 0.948045\nName: 16333, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5072848364150944, std values: 4.8380386040318, min values: 1.5019e-06, max values: 38.13, median values: 0.25634, and quantile values: 0.25 0.074729\n0.50 0.256340\n0.75 0.917490\nName: 16334, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.536006603708176, std values: 5.12565864484765, min values: 4.2996e-06, max values: 41.262, median values: 0.24296, and quantile values: 0.25 0.073668\n0.50 0.242960\n0.75 0.878995\nName: 16335, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.664174005628239, std values: 5.074985538675061, min values: 7.7599e-07, max values: 41.858, median values: 0.25565, and quantile values: 0.25 0.070239\n0.50 0.255650\n0.75 1.134400\nName: 16336, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.296661821316352, std values: 4.708305658261448, min values: 1.2062e-06, max values: 38.008, median values: 0.1619, and quantile values: 0.25 0.045263\n0.50 0.161900\n0.75 0.671305\nName: 16337, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2961056577465409, std values: 4.789697958140067, min values: 2.516e-06, max values: 39.501, median values: 0.17104, and quantile values: 0.25 0.052735\n0.50 0.171040\n0.75 0.604170\nName: 16338, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4539578808308176, std values: 4.8297715479659145, min values: 3.8119e-06, max values: 40.508, median values: 0.24383, and quantile values: 0.25 0.071683\n0.50 0.243830\n0.75 0.841480\nName: 16339, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3442533019044653, std values: 4.892990797550383, min values: 6.9501e-07, max values: 40.753, median values: 0.16967, and quantile values: 0.25 0.045402\n0.50 0.169670\n0.75 0.722880\nName: 16340, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4147520906384279, std values: 4.993794378128178, min values: 3.7621e-07, max values: 41.704, median values: 0.18576, and quantile values: 0.25 0.053933\n0.50 0.185760\n0.75 0.827980\nName: 16341, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5106228924594967, std values: 4.81708187312531, min values: 6.9676e-07, max values: 38.535, median values: 0.25129, and quantile values: 0.25 0.068040\n0.50 0.251290\n0.75 0.958005\nName: 16342, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.388275783319497, std values: 5.14555776291308, min values: 3.1588e-06, max values: 43.546, median values: 0.17556, and quantile values: 0.25 0.045401\n0.50 0.175560\n0.75 0.742910\nName: 16343, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3070792396976918, std values: 4.583393359542107, min values: 1.5323e-08, max values: 36.95, median values: 0.16094, and quantile values: 0.25 0.037673\n0.50 0.160940\n0.75 0.648285\nName: 16344, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7633626890943395, std values: 5.267668327308413, min values: 4.192e-06, max values: 41.481, median values: 0.30874, and quantile values: 0.25 0.083901\n0.50 0.308740\n0.75 1.134550\nName: 16345, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7638764648308176, std values: 5.5572152247976705, min values: 1.8866e-06, max values: 49.191, median values: 0.27093, and quantile values: 0.25 0.079906\n0.50 0.270930\n0.75 1.167700\nName: 16346, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6032519021354088, std values: 5.07156990435767, min values: 3.8803e-07, max values: 42.258, median values: 0.25674, and quantile values: 0.25 0.061677\n0.50 0.256740\n0.75 1.039560\nName: 16347, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4104561096025157, std values: 4.781594351306032, min values: 1.1752e-06, max values: 38.042, median values: 0.202, and quantile values: 0.25 0.063840\n0.50 0.202000\n0.75 0.868125\nName: 16348, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2892064518198114, std values: 4.522678394543139, min values: 9.4305e-07, max values: 37.151, median values: 0.14187, and quantile values: 0.25 0.042944\n0.50 0.141870\n0.75 0.652060\nName: 16349, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5221958183113207, std values: 4.9082862737658, min values: 5.7644e-06, max values: 41.245, median values: 0.24202, and quantile values: 0.25 0.074183\n0.50 0.242020\n0.75 0.872575\nName: 16350, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.505848260321698, std values: 4.923587958570675, min values: 5.3355e-07, max values: 39.449, median values: 0.21716, and quantile values: 0.25 0.056906\n0.50 0.217160\n0.75 0.978260\nName: 16351, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3201896914920754, std values: 4.9940027448945985, min values: 5.9974e-07, max values: 42.751, median values: 0.17477, and quantile values: 0.25 0.048917\n0.50 0.174770\n0.75 0.720230\nName: 16352, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.256471567454717, std values: 4.7737981274605445, min values: 2.3898e-06, max values: 39.886, median values: 0.14953, and quantile values: 0.25 0.047411\n0.50 0.149530\n0.75 0.655115\nName: 16353, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5371031034037734, std values: 5.034806907084316, min values: 1.3833e-06, max values: 41.421, median values: 0.21998, and quantile values: 0.25 0.066851\n0.50 0.219980\n0.75 0.973290\nName: 16354, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5637897940715095, std values: 4.80978171092441, min values: 7.2867e-07, max values: 37.873, median values: 0.23901, and quantile values: 0.25 0.062916\n0.50 0.239010\n0.75 1.028550\nName: 16355, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.493734236981761, std values: 4.998996572171018, min values: 1.7985e-06, max values: 40.459, median values: 0.20787, and quantile values: 0.25 0.065339\n0.50 0.207870\n0.75 0.896570\nName: 16356, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3021464446638364, std values: 4.453277219230662, min values: 9.1455e-07, max values: 37.84, median values: 0.20635, and quantile values: 0.25 0.057293\n0.50 0.206350\n0.75 0.769780\nName: 16357, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5303038346528304, std values: 5.0702811417946565, min values: 9.77e-07, max values: 42.636, median values: 0.21737, and quantile values: 0.25 0.062511\n0.50 0.217370\n0.75 0.887890\nName: 16358, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.289589624981132, std values: 4.650478918793879, min values: 8.15e-07, max values: 36.849, median values: 0.14924, and quantile values: 0.25 0.042617\n0.50 0.149240\n0.75 0.667350\nName: 16359, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3868881459232074, std values: 4.861029098679568, min values: 5.1169e-07, max values: 39.445, median values: 0.19052, and quantile values: 0.25 0.054910\n0.50 0.190520\n0.75 0.789575\nName: 16360, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4217355690351572, std values: 4.750473179616447, min values: 6.8679e-07, max values: 38.019, median values: 0.20983, and quantile values: 0.25 0.066191\n0.50 0.209830\n0.75 0.902075\nName: 16361, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4086638671232705, std values: 4.773175445206974, min values: 2.6453e-06, max values: 39.898, median values: 0.18298, and quantile values: 0.25 0.059664\n0.50 0.182980\n0.75 0.796465\nName: 16362, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3696970618510693, std values: 4.887028398352797, min values: 3.7845e-07, max values: 41.287, median values: 0.1898, and quantile values: 0.25 0.047364\n0.50 0.189800\n0.75 0.686060\nName: 16363, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4683492594056606, std values: 4.928417549591421, min values: 1.2924e-06, max values: 39.636, median values: 0.21009, and quantile values: 0.25 0.060569\n0.50 0.210090\n0.75 0.807240\nName: 16364, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4219173163320755, std values: 4.772269083276729, min values: 1.6524e-06, max values: 39.162, median values: 0.20932, and quantile values: 0.25 0.061449\n0.50 0.209320\n0.75 0.899110\nName: 16365, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.584265517034151, std values: 5.116982443538165, min values: 7.9143e-07, max values: 43.097, median values: 0.24281, and quantile values: 0.25 0.063176\n0.50 0.242810\n0.75 1.031750\nName: 16366, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3420347247555975, std values: 4.868767306266225, min values: 9.2364e-07, max values: 39.743, median values: 0.18175, and quantile values: 0.25 0.060327\n0.50 0.181750\n0.75 0.766775\nName: 16367, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8444188433867925, std values: 5.445987732320855, min values: 3.7456e-06, max values: 45.402, median values: 0.34217, and quantile values: 0.25 0.094137\n0.50 0.342170\n0.75 1.295300\nName: 16368, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1699352216476793, std values: 4.388726704361633, min values: 2.9008e-08, max values: 36.09, median values: 0.13394, and quantile values: 0.25 0.030047\n0.50 0.133940\n0.75 0.573850\nName: 16369, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.50188601588805, std values: 5.144344609986167, min values: 3.5219e-06, max values: 42.173, median values: 0.23597, and quantile values: 0.25 0.071284\n0.50 0.235970\n0.75 0.834090\nName: 16370, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6014988609969814, std values: 4.866725239105233, min values: 6.1492e-07, max values: 38.732, median values: 0.25633, and quantile values: 0.25 0.064029\n0.50 0.256330\n0.75 1.091750\nName: 16371, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8923437113880504, std values: 5.359001594432646, min values: 1.9673e-06, max values: 43.021, median values: 0.31549, and quantile values: 0.25 0.085774\n0.50 0.315490\n0.75 1.366850\nName: 16372, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4992223820660378, std values: 4.966980538824733, min values: 1.9232e-06, max values: 40.392, median values: 0.23366, and quantile values: 0.25 0.066555\n0.50 0.233660\n0.75 0.962335\nName: 16373, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2443316389701258, std values: 4.608106341227629, min values: 5.9105e-07, max values: 37.236, median values: 0.16862, and quantile values: 0.25 0.051370\n0.50 0.168620\n0.75 0.662065\nName: 16374, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.475592458295283, std values: 4.697906061485872, min values: 1.8995e-07, max values: 37.5, median values: 0.20868, and quantile values: 0.25 0.060729\n0.50 0.208680\n0.75 0.960620\nName: 16375, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6280225759880502, std values: 5.123369572770564, min values: 5.8443e-06, max values: 39.923, median values: 0.26611, and quantile values: 0.25 0.069624\n0.50 0.266110\n0.75 0.893845\nName: 16376, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5425742817207546, std values: 5.070688737302314, min values: 2.1993e-06, max values: 41.464, median values: 0.25802, and quantile values: 0.25 0.075014\n0.50 0.258020\n0.75 0.986805\nName: 16377, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5588793599471447, std values: 4.994333502176855, min values: 2.6826e-08, max values: 41.922, median values: 0.25612, and quantile values: 0.25 0.05378\n0.50 0.25612\n0.75 0.97722\nName: 16378, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4042242711522015, std values: 5.05796786389078, min values: 3.7061e-06, max values: 41.226, median values: 0.21029, and quantile values: 0.25 0.061465\n0.50 0.210290\n0.75 0.696765\nName: 16379, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2728173239620126, std values: 4.6932889733621295, min values: 9.3266e-07, max values: 38.618, median values: 0.1621, and quantile values: 0.25 0.049863\n0.50 0.162100\n0.75 0.642370\nName: 16380, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4543663646572327, std values: 4.738614163548403, min values: 1.0474e-06, max values: 38.172, median values: 0.22334, and quantile values: 0.25 0.065549\n0.50 0.223340\n0.75 0.919575\nName: 16381, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6660123564477987, std values: 5.458256270750264, min values: 2.8895e-06, max values: 48.104, median values: 0.26774, and quantile values: 0.25 0.077128\n0.50 0.267740\n0.75 1.010565\nName: 16382, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3530103639912578, std values: 4.63400457440925, min values: 2.9891e-07, max values: 37.043, median values: 0.19777, and quantile values: 0.25 0.052798\n0.50 0.197770\n0.75 0.783455\nName: 16383, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7091080450327047, std values: 5.138223300597963, min values: 4.2018e-06, max values: 40.036, median values: 0.28542, and quantile values: 0.25 0.085101\n0.50 0.285420\n0.75 1.094700\nName: 16384, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5526668177066667, std values: 5.1235436714217, min values: 3.456e-08, max values: 44.58, median values: 0.21025, and quantile values: 0.25 0.062868\n0.50 0.210250\n0.75 0.935605\nName: 16385, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2763095406683647, std values: 4.7957873401658295, min values: 2.0832e-07, max values: 40.249, median values: 0.16459, and quantile values: 0.25 0.042313\n0.50 0.164590\n0.75 0.669205\nName: 16386, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6528764227264154, std values: 5.083260398844651, min values: 5.0318e-06, max values: 40.084, median values: 0.27391, and quantile values: 0.25 0.081460\n0.50 0.273910\n0.75 1.026775\nName: 16387, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3738236386551574, std values: 4.747606035502261, min values: 6.7587e-07, max values: 37.829, median values: 0.20168, and quantile values: 0.25 0.054895\n0.50 0.201680\n0.75 0.805530\nName: 16388, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4526487105245283, std values: 4.86764074897205, min values: 9.096e-07, max values: 38.786, median values: 0.21175, and quantile values: 0.25 0.054884\n0.50 0.211750\n0.75 0.868570\nName: 16389, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.356997176898742, std values: 4.895671762876042, min values: 2.5752e-06, max values: 40.142, median values: 0.19735, and quantile values: 0.25 0.059446\n0.50 0.197350\n0.75 0.711960\nName: 16390, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3725982498218239, std values: 4.811114147292925, min values: 4.1927e-07, max values: 39.614, median values: 0.19781, and quantile values: 0.25 0.053007\n0.50 0.197810\n0.75 0.825890\nName: 16391, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4710486709664778, std values: 5.1955017144979125, min values: 9.1997e-07, max values: 45.017, median values: 0.21089, and quantile values: 0.25 0.063528\n0.50 0.210890\n0.75 0.902980\nName: 16392, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5785293067091826, std values: 5.352062331410068, min values: 3.0151e-07, max values: 48.29, median values: 0.22681, and quantile values: 0.25 0.052828\n0.50 0.226810\n0.75 0.862860\nName: 16393, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.456946115401887, std values: 4.748933707954447, min values: 1.9376e-06, max values: 39.404, median values: 0.23064, and quantile values: 0.25 0.064406\n0.50 0.230640\n0.75 0.821715\nName: 16394, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4767952842509433, std values: 4.9588909338104346, min values: 3.8573e-06, max values: 40.755, median values: 0.21408, and quantile values: 0.25 0.060791\n0.50 0.214080\n0.75 0.828040\nName: 16395, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5402966715169812, std values: 4.927974823996494, min values: 5.491e-07, max values: 40.496, median values: 0.25039, and quantile values: 0.25 0.068563\n0.50 0.250390\n0.75 0.948790\nName: 16396, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.9580903658578617, std values: 5.346910892891457, min values: 6.1014e-06, max values: 40.018, median values: 0.37204, and quantile values: 0.25 0.11272\n0.50 0.37204\n0.75 1.31770\nName: 16397, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5377485205565407, std values: 5.012417278179122, min values: 5.9799e-07, max values: 41.972, median values: 0.25018, and quantile values: 0.25 0.063601\n0.50 0.250180\n0.75 0.941240\nName: 16398, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6494915676786162, std values: 5.049792593923713, min values: 4.0962e-06, max values: 39.694, median values: 0.27295, and quantile values: 0.25 0.090764\n0.50 0.272950\n0.75 1.011980\nName: 16399, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4113727218262264, std values: 4.750215935185723, min values: 4.9507e-07, max values: 37.894, median values: 0.21941, and quantile values: 0.25 0.057144\n0.50 0.219410\n0.75 0.840295\nName: 16400, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6217739019754718, std values: 5.0934365034441385, min values: 1.7601e-06, max values: 41.625, median values: 0.23215, and quantile values: 0.25 0.070901\n0.50 0.232150\n0.75 0.958755\nName: 16401, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4665891632597483, std values: 4.8937992151472365, min values: 3.7625e-06, max values: 39.043, median values: 0.24006, and quantile values: 0.25 0.072151\n0.50 0.240060\n0.75 0.873930\nName: 16402, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4927097517421384, std values: 4.78569954558834, min values: 3.247e-07, max values: 37.865, median values: 0.2299, and quantile values: 0.25 0.058129\n0.50 0.229900\n0.75 0.933735\nName: 16403, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4300287258345912, std values: 4.826633045097681, min values: 9.069e-07, max values: 38.658, median values: 0.24365, and quantile values: 0.25 0.066024\n0.50 0.243650\n0.75 0.883090\nName: 16404, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.482666414297736, std values: 4.691678090776511, min values: 5.8094e-07, max values: 38.024, median values: 0.23062, and quantile values: 0.25 0.063027\n0.50 0.230620\n0.75 0.962815\nName: 16405, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.448093333365409, std values: 5.062420264988149, min values: 2.6363e-06, max values: 41.357, median values: 0.19461, and quantile values: 0.25 0.05524\n0.50 0.19461\n0.75 0.81995\nName: 16406, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5875079326238992, std values: 4.923403447191405, min values: 3.2837e-06, max values: 39.432, median values: 0.23209, and quantile values: 0.25 0.073457\n0.50 0.232090\n0.75 0.987655\nName: 16407, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4945905795965158, std values: 4.892526904613642, min values: 5.8136e-08, max values: 40.323, median values: 0.23308, and quantile values: 0.25 0.052346\n0.50 0.233080\n0.75 0.931960\nName: 16408, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6690480666775909, std values: 5.012311291085498, min values: 2.8127e-08, max values: 41.088, median values: 0.29403, and quantile values: 0.25 0.055441\n0.50 0.294030\n0.75 1.275350\nName: 16409, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7140626985679244, std values: 5.400079911332571, min values: 4.0048e-06, max values: 45.526, median values: 0.26162, and quantile values: 0.25 0.07618\n0.50 0.26162\n0.75 1.03770\nName: 16410, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.395337467017346, std values: 4.812419691436088, min values: 8.5858e-08, max values: 38.92, median values: 0.18118, and quantile values: 0.25 0.044396\n0.50 0.181180\n0.75 0.807975\nName: 16411, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.621558487389937, std values: 5.022300378999287, min values: 5.955e-06, max values: 40.879, median values: 0.2641, and quantile values: 0.25 0.072388\n0.50 0.264100\n0.75 1.000650\nName: 16412, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5752895086749055, std values: 5.152798857524999, min values: 8.7731e-07, max values: 43.324, median values: 0.21961, and quantile values: 0.25 0.062316\n0.50 0.219610\n0.75 0.981000\nName: 16413, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4157479567698112, std values: 4.842498145403877, min values: 2.9184e-06, max values: 39.717, median values: 0.20201, and quantile values: 0.25 0.065047\n0.50 0.202010\n0.75 0.807635\nName: 16414, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5798004058622643, std values: 4.843620498894307, min values: 1.5477e-06, max values: 39.07, median values: 0.27054, and quantile values: 0.25 0.073372\n0.50 0.270540\n0.75 1.069150\nName: 16415, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2878240135981132, std values: 4.535693166288487, min values: 1.0316e-06, max values: 38.607, median values: 0.18416, and quantile values: 0.25 0.058088\n0.50 0.184160\n0.75 0.756775\nName: 16416, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3941396754900002, std values: 4.913221395949954, min values: 5.7771e-07, max values: 41.099, median values: 0.21307, and quantile values: 0.25 0.051968\n0.50 0.213070\n0.75 0.734750\nName: 16417, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5540949606805032, std values: 4.782830987320315, min values: 1.3259e-06, max values: 38.103, median values: 0.27518, and quantile values: 0.25 0.078497\n0.50 0.275180\n0.75 1.013640\nName: 16418, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2877847807430818, std values: 4.742225104846693, min values: 2.5902e-07, max values: 39.397, median values: 0.14779, and quantile values: 0.25 0.037932\n0.50 0.147790\n0.75 0.656920\nName: 16419, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5130618702600631, std values: 4.890259294948553, min values: 7.9425e-07, max values: 39.734, median values: 0.22431, and quantile values: 0.25 0.070616\n0.50 0.224310\n0.75 0.944365\nName: 16420, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2317089862452828, std values: 4.611681290491085, min values: 1.9422e-06, max values: 39.192, median values: 0.14728, and quantile values: 0.25 0.051222\n0.50 0.147280\n0.75 0.636050\nName: 16421, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6616638395013836, std values: 5.120410949460329, min values: 9.1382e-07, max values: 42.376, median values: 0.28817, and quantile values: 0.25 0.072592\n0.50 0.288170\n0.75 1.088900\nName: 16422, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4768208930138365, std values: 5.1523028767139865, min values: 1.682e-06, max values: 43.732, median values: 0.20049, and quantile values: 0.25 0.063259\n0.50 0.200490\n0.75 0.856410\nName: 16423, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5925153949226414, std values: 5.129967456362582, min values: 4.4649e-06, max values: 40.921, median values: 0.24037, and quantile values: 0.25 0.073482\n0.50 0.240370\n0.75 0.946295\nName: 16424, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5219858912163522, std values: 5.070661368978775, min values: 2.5982e-06, max values: 40.732, median values: 0.23771, and quantile values: 0.25 0.067434\n0.50 0.237710\n0.75 0.900365\nName: 16425, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4660097717446543, std values: 4.807653477211166, min values: 3.7776e-06, max values: 40.26, median values: 0.22824, and quantile values: 0.25 0.065616\n0.50 0.228240\n0.75 0.872650\nName: 16426, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5444559824654087, std values: 4.838788527357784, min values: 0.0, max values: 39.095, median values: 0.23953, and quantile values: 0.25 0.07104\n0.50 0.23953\n0.75 1.00400\nName: 16427, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4045839566183145, std values: 4.872770142391913, min values: 1.9452e-08, max values: 41.703, median values: 0.20263, and quantile values: 0.25 0.046308\n0.50 0.202630\n0.75 0.763340\nName: 16428, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2774765289581635, std values: 4.766380601155596, min values: 1.9368e-08, max values: 39.838, median values: 0.16679, and quantile values: 0.25 0.043495\n0.50 0.166790\n0.75 0.622705\nName: 16429, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6427588753490565, std values: 5.0280918991538375, min values: 0.0, max values: 39.351, median values: 0.27573, and quantile values: 0.25 0.07940\n0.50 0.27573\n0.75 1.09480\nName: 16430, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2950369989560377, std values: 4.64541061721627, min values: 5.2871e-07, max values: 38.771, median values: 0.17425, and quantile values: 0.25 0.042719\n0.50 0.174250\n0.75 0.708965\nName: 16431, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3579325230194783, std values: 4.7886452686603524, min values: 2.5367e-08, max values: 39.744, median values: 0.18089, and quantile values: 0.25 0.043929\n0.50 0.180890\n0.75 0.750085\nName: 16432, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4672253609943398, std values: 4.722818799122248, min values: 3.868e-07, max values: 37.319, median values: 0.2622, and quantile values: 0.25 0.060701\n0.50 0.262200\n0.75 0.942330\nName: 16433, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5600759611905661, std values: 5.040878085297788, min values: 2.3153e-06, max values: 40.202, median values: 0.24212, and quantile values: 0.25 0.065770\n0.50 0.242120\n0.75 0.919185\nName: 16434, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5416281230415094, std values: 4.972584621605246, min values: 3.0695e-06, max values: 39.186, median values: 0.24661, and quantile values: 0.25 0.071770\n0.50 0.246610\n0.75 0.974425\nName: 16435, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.383758621601887, std values: 4.625926562382939, min values: 1.0657e-06, max values: 39.088, median values: 0.19479, and quantile values: 0.25 0.058758\n0.50 0.194790\n0.75 0.834005\nName: 16436, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.625602096462893, std values: 5.022366590528077, min values: 1.3658e-06, max values: 40.387, median values: 0.29358, and quantile values: 0.25 0.069395\n0.50 0.293580\n0.75 1.066800\nName: 16437, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5814015653642768, std values: 4.963631655145905, min values: 7.9622e-07, max values: 39.99, median values: 0.25199, and quantile values: 0.25 0.069268\n0.50 0.251990\n0.75 1.129100\nName: 16438, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.8688250390685535, std values: 5.364019993253028, min values: 5.1495e-06, max values: 41.169, median values: 0.34173, and quantile values: 0.25 0.099749\n0.50 0.341730\n0.75 1.118000\nName: 16439, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6060185797094337, std values: 5.086540702445886, min values: 1.7174e-06, max values: 40.659, median values: 0.21547, and quantile values: 0.25 0.066327\n0.50 0.215470\n0.75 1.082200\nName: 16440, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3176729533389937, std values: 4.8676181049792255, min values: 6.259e-07, max values: 39.492, median values: 0.1764, and quantile values: 0.25 0.042847\n0.50 0.176400\n0.75 0.646250\nName: 16441, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5550093192572327, std values: 4.811804876973201, min values: 3.7766e-06, max values: 39.685, median values: 0.25523, and quantile values: 0.25 0.072354\n0.50 0.255230\n0.75 1.012625\nName: 16442, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6180380868118236, std values: 5.188453973908555, min values: 9.0938e-07, max values: 44.508, median values: 0.24776, and quantile values: 0.25 0.079777\n0.50 0.247760\n0.75 1.038900\nName: 16443, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4539891467106918, std values: 4.810137993183379, min values: 2.5015e-06, max values: 39.617, median values: 0.21956, and quantile values: 0.25 0.067101\n0.50 0.219560\n0.75 0.852595\nName: 16444, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.475013372439371, std values: 4.925257583964739, min values: 7.1226e-07, max values: 40.182, median values: 0.23708, and quantile values: 0.25 0.061273\n0.50 0.237080\n0.75 0.870475\nName: 16445, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.364469006221824, std values: 4.6953873711883665, min values: 3.046e-08, max values: 37.241, median values: 0.20421, and quantile values: 0.25 0.044492\n0.50 0.204210\n0.75 0.766385\nName: 16446, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3734027925343333, std values: 5.013977771037499, min values: 3.1689e-08, max values: 43.954, median values: 0.18027, and quantile values: 0.25 0.045742\n0.50 0.180270\n0.75 0.748215\nName: 16447, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.426990437174566, std values: 5.0550263160744855, min values: 1.9356e-08, max values: 43.529, median values: 0.17616, and quantile values: 0.25 0.046249\n0.50 0.176160\n0.75 0.755505\nName: 16448, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4930635338987421, std values: 4.870731072799352, min values: 2.3073e-07, max values: 39.994, median values: 0.21757, and quantile values: 0.25 0.055922\n0.50 0.217570\n0.75 0.912880\nName: 16449, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.523443127164151, std values: 4.986490138921434, min values: 1.2163e-06, max values: 40.994, median values: 0.25182, and quantile values: 0.25 0.066903\n0.50 0.251820\n0.75 0.934410\nName: 16450, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2919574755274843, std values: 4.711214388641388, min values: 5.8037e-07, max values: 37.808, median values: 0.18284, and quantile values: 0.25 0.058169\n0.50 0.182840\n0.75 0.694220\nName: 16451, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4127250706579875, std values: 4.917574401239165, min values: 8.8362e-07, max values: 40.204, median values: 0.18768, and quantile values: 0.25 0.061331\n0.50 0.187680\n0.75 0.783950\nName: 16452, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4059688489886792, std values: 4.817540989706249, min values: 1.8437e-06, max values: 38.903, median values: 0.20497, and quantile values: 0.25 0.056939\n0.50 0.204970\n0.75 0.813105\nName: 16453, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5973088740314465, std values: 5.0147522594194465, min values: 4.9816e-06, max values: 40.109, median values: 0.25055, and quantile values: 0.25 0.083951\n0.50 0.250550\n0.75 0.969365\nName: 16454, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4911194445176728, std values: 4.869896618743105, min values: 4.2931e-07, max values: 39.465, median values: 0.23141, and quantile values: 0.25 0.058166\n0.50 0.231410\n0.75 0.923635\nName: 16455, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5637730626433965, std values: 5.118008612270351, min values: 3.6777e-06, max values: 41.354, median values: 0.2347, and quantile values: 0.25 0.069626\n0.50 0.234700\n0.75 0.920735\nName: 16456, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.493891695686792, std values: 4.982937541318371, min values: 1.1338e-06, max values: 41.025, median values: 0.25858, and quantile values: 0.25 0.076971\n0.50 0.258580\n0.75 0.876110\nName: 16457, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4652752833842768, std values: 4.871156809596886, min values: 2.5934e-06, max values: 39.77, median values: 0.21835, and quantile values: 0.25 0.073027\n0.50 0.218350\n0.75 0.865335\nName: 16458, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3697793219144654, std values: 4.7956431514222, min values: 1.0247e-06, max values: 39.401, median values: 0.19015, and quantile values: 0.25 0.047855\n0.50 0.190150\n0.75 0.764080\nName: 16459, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3624389584792453, std values: 4.680199116566377, min values: 1.0059e-06, max values: 38.007, median values: 0.16996, and quantile values: 0.25 0.042925\n0.50 0.169960\n0.75 0.773590\nName: 16460, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5307617198949683, std values: 4.873033063473817, min values: 3.9233e-06, max values: 39.903, median values: 0.25018, and quantile values: 0.25 0.071760\n0.50 0.250180\n0.75 0.979195\nName: 16461, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6078980361018869, std values: 4.924521824396393, min values: 1.1799e-06, max values: 38.59, median values: 0.27708, and quantile values: 0.25 0.081729\n0.50 0.277080\n0.75 1.075350\nName: 16462, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.543455374655975, std values: 5.004479489859824, min values: 2.2413e-06, max values: 40.224, median values: 0.25226, and quantile values: 0.25 0.070461\n0.50 0.252260\n0.75 0.959210\nName: 16463, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3708235828830189, std values: 4.960397248933075, min values: 1.9256e-06, max values: 40.317, median values: 0.17748, and quantile values: 0.25 0.056019\n0.50 0.177480\n0.75 0.800435\nName: 16464, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6563811993452835, std values: 5.244498329388455, min values: 5.2491e-06, max values: 42.037, median values: 0.26612, and quantile values: 0.25 0.069582\n0.50 0.266120\n0.75 0.986235\nName: 16465, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2956665585018867, std values: 4.637173872120983, min values: 1.4059e-06, max values: 38.919, median values: 0.16738, and quantile values: 0.25 0.052291\n0.50 0.167380\n0.75 0.718000\nName: 16466, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6328562963553461, std values: 5.270172060790825, min values: 2.9323e-06, max values: 42.855, median values: 0.26631, and quantile values: 0.25 0.071467\n0.50 0.266310\n0.75 0.948295\nName: 16467, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.302618390137025, std values: 4.506512553576462, min values: 2.3769e-08, max values: 35.678, median values: 0.18417, and quantile values: 0.25 0.042769\n0.50 0.184170\n0.75 0.734530\nName: 16468, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5814070117845158, std values: 4.875420219815328, min values: 3.6518e-08, max values: 39.039, median values: 0.23595, and quantile values: 0.25 0.061316\n0.50 0.235950\n0.75 1.087200\nName: 16469, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5922343525666667, std values: 5.042200060102291, min values: 2.8703e-06, max values: 39.978, median values: 0.28549, and quantile values: 0.25 0.07598\n0.50 0.28549\n0.75 0.98237\nName: 16470, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.280991595707151, std values: 4.717939786565857, min values: 1.9169e-08, max values: 39.306, median values: 0.13846, and quantile values: 0.25 0.032459\n0.50 0.138460\n0.75 0.618330\nName: 16471, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.344235942799371, std values: 4.85804936090374, min values: 4.969e-07, max values: 39.63, median values: 0.17767, and quantile values: 0.25 0.049826\n0.50 0.177670\n0.75 0.677950\nName: 16472, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6093904734635218, std values: 5.011924624163883, min values: 3.8356e-06, max values: 40.036, median values: 0.23835, and quantile values: 0.25 0.073978\n0.50 0.238350\n0.75 0.996975\nName: 16473, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6550617663477991, std values: 5.214938899977261, min values: 3.4064e-06, max values: 41.088, median values: 0.27818, and quantile values: 0.25 0.084747\n0.50 0.278180\n0.75 1.005985\nName: 16474, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5254390588893083, std values: 5.187966431806238, min values: 1.1824e-06, max values: 44.702, median values: 0.22509, and quantile values: 0.25 0.065063\n0.50 0.225090\n0.75 0.913515\nName: 16475, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4467982784691822, std values: 5.166931656782903, min values: 1.7957e-06, max values: 44.187, median values: 0.19794, and quantile values: 0.25 0.053857\n0.50 0.197940\n0.75 0.842735\nName: 16476, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.367533669284717, std values: 4.909832853735262, min values: 9.9357e-07, max values: 40.987, median values: 0.21189, and quantile values: 0.25 0.058115\n0.50 0.211890\n0.75 0.787375\nName: 16477, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.199782374977484, std values: 4.7490162925462185, min values: 7.6582e-07, max values: 38.774, median values: 0.14573, and quantile values: 0.25 0.046699\n0.50 0.145730\n0.75 0.573590\nName: 16478, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5791840314930818, std values: 4.977180509846547, min values: 2.4903e-06, max values: 39.843, median values: 0.22314, and quantile values: 0.25 0.068965\n0.50 0.223140\n0.75 1.011050\nName: 16479, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6235413091288677, std values: 5.242132231018498, min values: 5.7249e-07, max values: 45.301, median values: 0.27337, and quantile values: 0.25 0.07096\n0.50 0.27337\n0.75 0.98863\nName: 16480, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.473066457816352, std values: 5.045468037574019, min values: 2.4479e-06, max values: 40.663, median values: 0.2139, and quantile values: 0.25 0.063857\n0.50 0.213900\n0.75 0.808820\nName: 16481, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4951542957861634, std values: 4.941319710638796, min values: 2.6039e-06, max values: 40.281, median values: 0.24616, and quantile values: 0.25 0.067699\n0.50 0.246160\n0.75 0.917765\nName: 16482, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4584642611396226, std values: 4.977759101775059, min values: 1.0553e-06, max values: 40.856, median values: 0.207, and quantile values: 0.25 0.047197\n0.50 0.207000\n0.75 0.816900\nName: 16483, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5690326032941135, std values: 5.167546948126471, min values: 1.9704e-08, max values: 45.491, median values: 0.22566, and quantile values: 0.25 0.051263\n0.50 0.225660\n0.75 0.932995\nName: 16484, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.408228706028931, std values: 4.854115628754288, min values: 1.6682e-06, max values: 38.796, median values: 0.20526, and quantile values: 0.25 0.056507\n0.50 0.205260\n0.75 0.844065\nName: 16485, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4199787644704402, std values: 4.895165478236181, min values: 2.6035e-06, max values: 40.466, median values: 0.18387, and quantile values: 0.25 0.061113\n0.50 0.183870\n0.75 0.826000\nName: 16486, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5233932670647798, std values: 4.845243307152661, min values: 1.8842e-06, max values: 38.909, median values: 0.2336, and quantile values: 0.25 0.06485\n0.50 0.23360\n0.75 0.96315\nName: 16487, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4150951701880503, std values: 4.708094649121136, min values: 1.2592e-06, max values: 38.177, median values: 0.18542, and quantile values: 0.25 0.061313\n0.50 0.185420\n0.75 0.852130\nName: 16488, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.220367803916107, std values: 4.691989375514054, min values: 1.6931e-08, max values: 38.325, median values: 0.13751, and quantile values: 0.25 0.034692\n0.50 0.137510\n0.75 0.616540\nName: 16489, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5482292673194968, std values: 4.83298751433741, min values: 1.2874e-06, max values: 38.332, median values: 0.23232, and quantile values: 0.25 0.066074\n0.50 0.232320\n0.75 0.996825\nName: 16490, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7639874795591257, std values: 5.124294011574804, min values: 2.2301e-08, max values: 42.157, median values: 0.28224, and quantile values: 0.25 0.06942\n0.50 0.28224\n0.75 1.30640\nName: 16491, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3289302596444466, std values: 4.940540557332176, min values: 3.0557e-08, max values: 42.893, median values: 0.18042, and quantile values: 0.25 0.038386\n0.50 0.180420\n0.75 0.672135\nName: 16492, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.440680875368868, std values: 5.0370917421517785, min values: 7.6565e-07, max values: 42.318, median values: 0.19026, and quantile values: 0.25 0.05747\n0.50 0.19026\n0.75 0.81441\nName: 16493, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.536569143300189, std values: 5.061352821076522, min values: 5.4903e-07, max values: 42.684, median values: 0.22899, and quantile values: 0.25 0.064395\n0.50 0.228990\n0.75 0.950925\nName: 16494, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4547471752358492, std values: 4.893081336693203, min values: 1.6704e-06, max values: 39.99, median values: 0.23153, and quantile values: 0.25 0.063363\n0.50 0.231530\n0.75 0.834140\nName: 16495, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4448680525791195, std values: 4.73243272912156, min values: 8.3668e-07, max values: 39.188, median values: 0.21467, and quantile values: 0.25 0.05600\n0.50 0.21467\n0.75 0.91361\nName: 16496, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.488932264462264, std values: 4.996900399388897, min values: 6.4169e-06, max values: 41.095, median values: 0.24139, and quantile values: 0.25 0.068546\n0.50 0.241390\n0.75 0.838390\nName: 16497, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3869011029173586, std values: 5.084173901828091, min values: 2.3176e-07, max values: 44.121, median values: 0.16168, and quantile values: 0.25 0.043179\n0.50 0.161680\n0.75 0.723790\nName: 16498, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2606565839756605, std values: 5.074262627055059, min values: 5.5563e-07, max values: 44.555, median values: 0.16087, and quantile values: 0.25 0.044532\n0.50 0.160870\n0.75 0.637135\nName: 16499, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5991712087710692, std values: 4.826085103350511, min values: 2.1872e-06, max values: 38.972, median values: 0.29332, and quantile values: 0.25 0.081344\n0.50 0.293320\n0.75 1.127650\nName: 16500, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3621714367597486, std values: 4.793467398812353, min values: 1.8331e-06, max values: 39.436, median values: 0.221, and quantile values: 0.25 0.05780\n0.50 0.22100\n0.75 0.81869\nName: 16501, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4320552960362392, std values: 4.953798247890473, min values: 1.7392e-08, max values: 42.784, median values: 0.17996, and quantile values: 0.25 0.044619\n0.50 0.179960\n0.75 0.786035\nName: 16502, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3678369996930817, std values: 4.931302163431989, min values: 2.2102e-06, max values: 40.446, median values: 0.18908, and quantile values: 0.25 0.057145\n0.50 0.189080\n0.75 0.759580\nName: 16503, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3705203791358491, std values: 4.710432413127626, min values: 1.0664e-06, max values: 38.735, median values: 0.21045, and quantile values: 0.25 0.057848\n0.50 0.210450\n0.75 0.833235\nName: 16504, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4976601015855346, std values: 5.032404582340228, min values: 3.2665e-06, max values: 40.075, median values: 0.22139, and quantile values: 0.25 0.061347\n0.50 0.221390\n0.75 0.897075\nName: 16505, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7163836086584905, std values: 5.199395198161184, min values: 4.1261e-06, max values: 41.499, median values: 0.27689, and quantile values: 0.25 0.078867\n0.50 0.276890\n0.75 1.178700\nName: 16506, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4425352491654089, std values: 4.872519024336341, min values: 2.9193e-06, max values: 40.304, median values: 0.24029, and quantile values: 0.25 0.065718\n0.50 0.240290\n0.75 0.871665\nName: 16507, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.447533946786289, std values: 4.954023552942075, min values: 4.2012e-07, max values: 41.7, median values: 0.22718, and quantile values: 0.25 0.055597\n0.50 0.227180\n0.75 0.821535\nName: 16508, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4918238923999874, std values: 4.824271565999878, min values: 5.0098e-08, max values: 38.166, median values: 0.20918, and quantile values: 0.25 0.063708\n0.50 0.209180\n0.75 0.891860\nName: 16509, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.59070406121761, std values: 4.974765850114236, min values: 2.7909e-06, max values: 40.075, median values: 0.2371, and quantile values: 0.25 0.076115\n0.50 0.237100\n0.75 0.937105\nName: 16510, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3949247650284275, std values: 4.714184237625734, min values: 1.603e-08, max values: 37.55, median values: 0.18985, and quantile values: 0.25 0.051095\n0.50 0.189850\n0.75 0.873190\nName: 16511, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4409694185874216, std values: 4.813530891269333, min values: 1.6611e-06, max values: 39.545, median values: 0.20984, and quantile values: 0.25 0.051920\n0.50 0.209840\n0.75 0.887715\nName: 16512, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.1909031542404214, std values: 4.553467794182453, min values: 1.7057e-08, max values: 37.534, median values: 0.14689, and quantile values: 0.25 0.039093\n0.50 0.146890\n0.75 0.619120\nName: 16513, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4184842298879876, std values: 4.882706362682174, min values: 7.1719e-07, max values: 39.183, median values: 0.20778, and quantile values: 0.25 0.053947\n0.50 0.207780\n0.75 0.777520\nName: 16514, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.93682070175912, std values: 6.054286744391472, min values: 3.1936e-06, max values: 55.624, median values: 0.3428, and quantile values: 0.25 0.088128\n0.50 0.342800\n0.75 1.191450\nName: 16515, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4668412410454088, std values: 4.771923485592011, min values: 8.2982e-07, max values: 38.544, median values: 0.20725, and quantile values: 0.25 0.060432\n0.50 0.207250\n0.75 0.878355\nName: 16516, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6190971780332704, std values: 4.931595489320927, min values: 8.9669e-07, max values: 38.782, median values: 0.28026, and quantile values: 0.25 0.073144\n0.50 0.280260\n0.75 1.084400\nName: 16517, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5053454642584905, std values: 4.70591189280568, min values: 1.0055e-06, max values: 38.682, median values: 0.27576, and quantile values: 0.25 0.070484\n0.50 0.275760\n0.75 0.938240\nName: 16518, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5327971191893082, std values: 5.002644538344869, min values: 1.9766e-06, max values: 40.51, median values: 0.23811, and quantile values: 0.25 0.070094\n0.50 0.238110\n0.75 0.963590\nName: 16519, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3349878648123272, std values: 4.771013569812751, min values: 7.5206e-07, max values: 38.229, median values: 0.17663, and quantile values: 0.25 0.053655\n0.50 0.176630\n0.75 0.696870\nName: 16520, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.527816292991069, std values: 5.013455934384979, min values: 3.7441e-07, max values: 42.504, median values: 0.18118, and quantile values: 0.25 0.052075\n0.50 0.181180\n0.75 0.887590\nName: 16521, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7043184013811319, std values: 5.064333715648737, min values: 4.9418e-06, max values: 40.195, median values: 0.30835, and quantile values: 0.25 0.080564\n0.50 0.308350\n0.75 1.101600\nName: 16522, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4698957449679246, std values: 5.005772168994013, min values: 1.6261e-06, max values: 40.871, median values: 0.19342, and quantile values: 0.25 0.061673\n0.50 0.193420\n0.75 0.879190\nName: 16523, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.338508600012327, std values: 4.699759711670781, min values: 4.1346e-07, max values: 37.292, median values: 0.19733, and quantile values: 0.25 0.061925\n0.50 0.197330\n0.75 0.730460\nName: 16524, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.627664989006289, std values: 5.165752054298406, min values: 3.4526e-06, max values: 41.812, median values: 0.24922, and quantile values: 0.25 0.07444\n0.50 0.24922\n0.75 1.01515\nName: 16525, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6533552325817609, std values: 5.117763867454377, min values: 3.1698e-06, max values: 40.695, median values: 0.26031, and quantile values: 0.25 0.075816\n0.50 0.260310\n0.75 1.039900\nName: 16526, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.676341843471069, std values: 5.10528073531512, min values: 1.4691e-06, max values: 41.991, median values: 0.28335, and quantile values: 0.25 0.071861\n0.50 0.283350\n0.75 1.150600\nName: 16527, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3726850138448428, std values: 4.851558173330057, min values: 7.7513e-07, max values: 38.784, median values: 0.15999, and quantile values: 0.25 0.050415\n0.50 0.159990\n0.75 0.727285\nName: 16528, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5761575122691822, std values: 5.118182590024997, min values: 4.9564e-06, max values: 40.935, median values: 0.25084, and quantile values: 0.25 0.080968\n0.50 0.250840\n0.75 0.927090\nName: 16529, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3357890767920124, std values: 5.045754044292724, min values: 3.6273e-07, max values: 43.444, median values: 0.18072, and quantile values: 0.25 0.04907\n0.50 0.18072\n0.75 0.69223\nName: 16530, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5033121444670439, std values: 4.798829177619726, min values: 2.1516e-07, max values: 37.947, median values: 0.23103, and quantile values: 0.25 0.060699\n0.50 0.231030\n0.75 0.998165\nName: 16531, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4969071583711886, std values: 4.86379076813282, min values: 4.6419e-08, max values: 39.403, median values: 0.24192, and quantile values: 0.25 0.062041\n0.50 0.241920\n0.75 0.945165\nName: 16532, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6896331965855347, std values: 5.192264271784166, min values: 3.8063e-06, max values: 41.41, median values: 0.27169, and quantile values: 0.25 0.07804\n0.50 0.27169\n0.75 1.09425\nName: 16533, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5238032544678617, std values: 5.141438846907161, min values: 9.9119e-07, max values: 43.389, median values: 0.245, and quantile values: 0.25 0.056416\n0.50 0.245000\n0.75 0.831935\nName: 16534, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.7341146917685533, std values: 5.039005050983195, min values: 2.5006e-06, max values: 39.961, median values: 0.3112, and quantile values: 0.25 0.086369\n0.50 0.311200\n0.75 1.196650\nName: 16535, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.661493022655975, std values: 5.058083597213408, min values: 2.5698e-06, max values: 40.037, median values: 0.29707, and quantile values: 0.25 0.069276\n0.50 0.297070\n0.75 1.127550\nName: 16536, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.657021129298113, std values: 4.995041702918764, min values: 0.0, max values: 39.569, median values: 0.29584, and quantile values: 0.25 0.073809\n0.50 0.295840\n0.75 1.125800\nName: 16537, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6251308351, std values: 5.147236783899946, min values: 1.2434e-06, max values: 42.71, median values: 0.23827, and quantile values: 0.25 0.070228\n0.50 0.238270\n0.75 0.989525\nName: 16538, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.711455806461635, std values: 4.988083530110645, min values: 2.0812e-06, max values: 38.523, median values: 0.29158, and quantile values: 0.25 0.080896\n0.50 0.291580\n0.75 1.228850\nName: 16539, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5543390206245284, std values: 4.938605938896826, min values: 1.1861e-06, max values: 39.387, median values: 0.22742, and quantile values: 0.25 0.070613\n0.50 0.227420\n0.75 1.063700\nName: 16540, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5289455954415092, std values: 4.96321134146524, min values: 1.5297e-06, max values: 39.653, median values: 0.23109, and quantile values: 0.25 0.072205\n0.50 0.231090\n0.75 0.971265\nName: 16541, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.604249213684654, std values: 5.313322686599081, min values: 4.0826e-07, max values: 47.188, median values: 0.22213, and quantile values: 0.25 0.060704\n0.50 0.222130\n0.75 0.959155\nName: 16542, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5121976525194338, std values: 4.990470954079461, min values: 6.9479e-07, max values: 41.438, median values: 0.2435, and quantile values: 0.25 0.065435\n0.50 0.243500\n0.75 0.942455\nName: 16543, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.393107833678616, std values: 4.7361144576857175, min values: 8.506e-07, max values: 38.469, median values: 0.19067, and quantile values: 0.25 0.056062\n0.50 0.190670\n0.75 0.853715\nName: 16544, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3910164844867925, std values: 4.873857845505638, min values: 2.6558e-06, max values: 40.247, median values: 0.21281, and quantile values: 0.25 0.053528\n0.50 0.212810\n0.75 0.748020\nName: 16545, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3064769304499306, std values: 4.664540429379206, min values: 2.2109e-08, max values: 37.088, median values: 0.17856, and quantile values: 0.25 0.035681\n0.50 0.178560\n0.75 0.705250\nName: 16546, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4819733028937108, std values: 5.166654411582058, min values: 2.5292e-06, max values: 43.423, median values: 0.22575, and quantile values: 0.25 0.062239\n0.50 0.225750\n0.75 0.832230\nName: 16547, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.544668212193082, std values: 5.011065245035372, min values: 2.8765e-06, max values: 40.256, median values: 0.26294, and quantile values: 0.25 0.068124\n0.50 0.262940\n0.75 0.961255\nName: 16548, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.40700832561239, std values: 4.781956727834112, min values: 7.9447e-07, max values: 39.476, median values: 0.19675, and quantile values: 0.25 0.056495\n0.50 0.196750\n0.75 0.839915\nName: 16549, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3466431616893082, std values: 4.763425853337321, min values: 1.0393e-06, max values: 38.625, median values: 0.19064, and quantile values: 0.25 0.062540\n0.50 0.190640\n0.75 0.806615\nName: 16550, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.348522572508113, std values: 4.530155193363281, min values: 4.7389e-07, max values: 37.143, median values: 0.17525, and quantile values: 0.25 0.055133\n0.50 0.175250\n0.75 0.789390\nName: 16551, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3425692457523335, std values: 4.593685382194934, min values: 6.2061e-08, max values: 37.072, median values: 0.22155, and quantile values: 0.25 0.050568\n0.50 0.221550\n0.75 0.759600\nName: 16552, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2495661288637105, std values: 4.737808628621468, min values: 8.6743e-07, max values: 38.622, median values: 0.14766, and quantile values: 0.25 0.046629\n0.50 0.147660\n0.75 0.657485\nName: 16553, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.574571962299371, std values: 5.06106739041307, min values: 1.6814e-06, max values: 41.471, median values: 0.278, and quantile values: 0.25 0.066652\n0.50 0.278000\n0.75 0.999095\nName: 16554, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.464817813294969, std values: 4.8709095990668265, min values: 2.0784e-06, max values: 39.453, median values: 0.21967, and quantile values: 0.25 0.058888\n0.50 0.219670\n0.75 0.975995\nName: 16555, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.313378844434151, std values: 5.0618821487759265, min values: 1.093e-08, max values: 44.823, median values: 0.12321, and quantile values: 0.25 0.040296\n0.50 0.123210\n0.75 0.691815\nName: 16556, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6675684181188681, std values: 5.148380509539374, min values: 2.0564e-06, max values: 41.871, median values: 0.26337, and quantile values: 0.25 0.069417\n0.50 0.263370\n0.75 1.059750\nName: 16557, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4565179748339623, std values: 5.1023265833393925, min values: 3.4067e-06, max values: 41.023, median values: 0.21747, and quantile values: 0.25 0.069035\n0.50 0.217470\n0.75 0.767590\nName: 16558, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.718070931455346, std values: 5.414958953597919, min values: 5.6422e-06, max values: 42.825, median values: 0.27473, and quantile values: 0.25 0.068275\n0.50 0.274730\n0.75 0.814170\nName: 16559, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3987245691372328, std values: 4.839467535900684, min values: 2.5552e-07, max values: 39.14, median values: 0.19931, and quantile values: 0.25 0.052713\n0.50 0.199310\n0.75 0.827375\nName: 16560, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.628452490883648, std values: 4.939562900844606, min values: 2.434e-06, max values: 39.016, median values: 0.26084, and quantile values: 0.25 0.082486\n0.50 0.260840\n0.75 1.046900\nName: 16561, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4656411038050314, std values: 5.04880332125899, min values: 1.7562e-06, max values: 42.867, median values: 0.22805, and quantile values: 0.25 0.064006\n0.50 0.228050\n0.75 0.838180\nName: 16562, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4530367515091447, std values: 4.979220033459361, min values: 2.2343e-08, max values: 43.498, median values: 0.1966, and quantile values: 0.25 0.041054\n0.50 0.196600\n0.75 0.802340\nName: 16563, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.396127658123333, std values: 4.6950344476115795, min values: 2.1091e-07, max values: 37.132, median values: 0.18741, and quantile values: 0.25 0.052889\n0.50 0.187410\n0.75 0.809070\nName: 16564, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6516329357685533, std values: 5.129397237169165, min values: 2.2869e-06, max values: 41.858, median values: 0.27964, and quantile values: 0.25 0.085805\n0.50 0.279640\n0.75 1.033650\nName: 16565, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6034723961786161, std values: 5.10155056332905, min values: 1.828e-06, max values: 42.01, median values: 0.28703, and quantile values: 0.25 0.074518\n0.50 0.287030\n0.75 1.053800\nName: 16566, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3952165961844025, std values: 4.832629725573697, min values: 6.9372e-07, max values: 39.465, median values: 0.19115, and quantile values: 0.25 0.05957\n0.50 0.19115\n0.75 0.80939\nName: 16567, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5125494410516351, std values: 4.959496151209455, min values: 6.1431e-07, max values: 40.866, median values: 0.21108, and quantile values: 0.25 0.059935\n0.50 0.211080\n0.75 0.880935\nName: 16568, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4853575580408804, std values: 5.13907409242942, min values: 2.3168e-06, max values: 43.394, median values: 0.23837, and quantile values: 0.25 0.066967\n0.50 0.238370\n0.75 0.896170\nName: 16569, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4406854656138366, std values: 4.901330374500115, min values: 2.2899e-06, max values: 39.146, median values: 0.23609, and quantile values: 0.25 0.067765\n0.50 0.236090\n0.75 0.853605\nName: 16570, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5405820880704402, std values: 5.080438543408723, min values: 1.128e-06, max values: 42.943, median values: 0.24238, and quantile values: 0.25 0.072792\n0.50 0.242380\n0.75 0.935720\nName: 16571, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3263977639445912, std values: 4.868692546500626, min values: 9.8679e-07, max values: 40.323, median values: 0.16566, and quantile values: 0.25 0.049329\n0.50 0.165660\n0.75 0.673555\nName: 16572, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4705048395, std values: 5.201007013145815, min values: 1.7888e-07, max values: 46.656, median values: 0.18132, and quantile values: 0.25 0.038335\n0.50 0.181320\n0.75 0.835395\nName: 16573, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3930502749232705, std values: 4.950699854500206, min values: 1.2979e-06, max values: 39.632, median values: 0.17445, and quantile values: 0.25 0.056728\n0.50 0.174450\n0.75 0.778065\nName: 16574, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.575982098115723, std values: 5.231820894413906, min values: 3.8406e-06, max values: 40.771, median values: 0.22901, and quantile values: 0.25 0.060995\n0.50 0.229010\n0.75 0.807125\nName: 16575, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.497513559654717, std values: 4.7345168511217555, min values: 4.9238e-06, max values: 40.121, median values: 0.23225, and quantile values: 0.25 0.076444\n0.50 0.232250\n0.75 0.880485\nName: 16576, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5699601516119495, std values: 4.804716891159998, min values: 3.7115e-06, max values: 39.749, median values: 0.26677, and quantile values: 0.25 0.074719\n0.50 0.266770\n0.75 0.960445\nName: 16577, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3531268840459119, std values: 4.509500729652005, min values: 1.4674e-06, max values: 38.44, median values: 0.20983, and quantile values: 0.25 0.056212\n0.50 0.209830\n0.75 0.843180\nName: 16578, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3617455156578615, std values: 4.773544169064956, min values: 1.5464e-06, max values: 39.733, median values: 0.20684, and quantile values: 0.25 0.056361\n0.50 0.206840\n0.75 0.821215\nName: 16579, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4819161701663397, std values: 4.634665304273191, min values: 1.1608e-08, max values: 36.427, median values: 0.20189, and quantile values: 0.25 0.053775\n0.50 0.201890\n0.75 0.925440\nName: 16580, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.402996800273019, std values: 4.730956101822368, min values: 1.4391e-07, max values: 37.893, median values: 0.19936, and quantile values: 0.25 0.049892\n0.50 0.199360\n0.75 0.822460\nName: 16581, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4085751633218238, std values: 4.9091292217405575, min values: 4.8637e-07, max values: 40.528, median values: 0.1817, and quantile values: 0.25 0.053034\n0.50 0.181700\n0.75 0.846660\nName: 16582, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4307630462132075, std values: 4.72293505064431, min values: 2.6821e-06, max values: 39.217, median values: 0.21576, and quantile values: 0.25 0.063375\n0.50 0.215760\n0.75 0.855525\nName: 16583, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6035837088654716, std values: 4.986151265418068, min values: 7.1981e-07, max values: 40.224, median values: 0.26234, and quantile values: 0.25 0.071067\n0.50 0.262340\n0.75 1.033235\nName: 16584, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.457643037736478, std values: 4.990020133839228, min values: 1.3993e-06, max values: 41.54, median values: 0.21316, and quantile values: 0.25 0.063985\n0.50 0.213160\n0.75 0.868800\nName: 16585, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3584646883918239, std values: 4.7498202708251736, min values: 1.5893e-06, max values: 40.202, median values: 0.19476, and quantile values: 0.25 0.060262\n0.50 0.194760\n0.75 0.768925\nName: 16586, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5366207400075473, std values: 5.195823710867745, min values: 1.5377e-06, max values: 44.583, median values: 0.21302, and quantile values: 0.25 0.058482\n0.50 0.213020\n0.75 0.887685\nName: 16587, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5167806121257863, std values: 5.0566749970174865, min values: 2.0524e-06, max values: 41.582, median values: 0.21878, and quantile values: 0.25 0.063634\n0.50 0.218780\n0.75 0.933375\nName: 16588, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.545666471391698, std values: 5.0121426344017665, min values: 5.0138e-07, max values: 41.408, median values: 0.25063, and quantile values: 0.25 0.062197\n0.50 0.250630\n0.75 0.967840\nName: 16589, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4776149715777358, std values: 4.948091760134476, min values: 2.8976e-07, max values: 41.392, median values: 0.19828, and quantile values: 0.25 0.061019\n0.50 0.198280\n0.75 0.847680\nName: 16590, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5428123445477988, std values: 5.063847813915164, min values: 3.784e-07, max values: 43.182, median values: 0.21001, and quantile values: 0.25 0.059315\n0.50 0.210010\n0.75 1.011270\nName: 16591, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4224140992799998, std values: 4.73368186452914, min values: 5.8272e-07, max values: 38.233, median values: 0.18844, and quantile values: 0.25 0.061177\n0.50 0.188440\n0.75 0.848365\nName: 16592, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3819778457710694, std values: 5.0122922241234455, min values: 2.8829e-06, max values: 41.334, median values: 0.18405, and quantile values: 0.25 0.062662\n0.50 0.184050\n0.75 0.722755\nName: 16593, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5502089111830188, std values: 5.097601261603283, min values: 6.259e-07, max values: 42.47, median values: 0.22781, and quantile values: 0.25 0.060429\n0.50 0.227810\n0.75 1.000375\nName: 16594, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3973512103380503, std values: 4.8684729650573715, min values: 7.5575e-07, max values: 39.779, median values: 0.19857, and quantile values: 0.25 0.055194\n0.50 0.198570\n0.75 0.758205\nName: 16595, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.640194019626415, std values: 5.059791760279562, min values: 2.5978e-06, max values: 39.714, median values: 0.28265, and quantile values: 0.25 0.079334\n0.50 0.282650\n0.75 1.037150\nName: 16596, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5509717056503145, std values: 5.07601159269835, min values: 5.7888e-06, max values: 40.689, median values: 0.24383, and quantile values: 0.25 0.076211\n0.50 0.243830\n0.75 0.858690\nName: 16597, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5124048036968554, std values: 4.94062374498874, min values: 1.0229e-06, max values: 39.633, median values: 0.22905, and quantile values: 0.25 0.059277\n0.50 0.229050\n0.75 0.893510\nName: 16598, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6115009920811323, std values: 4.9326173228621, min values: 2.5597e-06, max values: 39.378, median values: 0.2957, and quantile values: 0.25 0.070696\n0.50 0.295700\n0.75 1.029500\nName: 16599, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6710152914465406, std values: 5.310953345358508, min values: 4.561e-06, max values: 44.027, median values: 0.28388, and quantile values: 0.25 0.083178\n0.50 0.283880\n0.75 1.048550\nName: 16600, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.335054611828302, std values: 4.493352971537087, min values: 1.4777e-06, max values: 38.47, median values: 0.20089, and quantile values: 0.25 0.058096\n0.50 0.200890\n0.75 0.816710\nName: 16601, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6343199349138366, std values: 5.07527703169081, min values: 4.3788e-06, max values: 40.513, median values: 0.26653, and quantile values: 0.25 0.077372\n0.50 0.266530\n0.75 0.981985\nName: 16602, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4593728323308175, std values: 4.86638420682654, min values: 1.6795e-06, max values: 38.976, median values: 0.22078, and quantile values: 0.25 0.067299\n0.50 0.220780\n0.75 0.891535\nName: 16603, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.314762669026415, std values: 4.836001272658817, min values: 9.47e-07, max values: 38.908, median values: 0.15612, and quantile values: 0.25 0.045174\n0.50 0.156120\n0.75 0.713300\nName: 16604, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6059179585616352, std values: 4.953261073400563, min values: 1.2176e-06, max values: 38.991, median values: 0.25848, and quantile values: 0.25 0.068882\n0.50 0.258480\n0.75 0.995505\nName: 16605, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5015548054093837, std values: 5.001698719392836, min values: 2.4072e-08, max values: 42.85, median values: 0.2133, and quantile values: 0.25 0.049032\n0.50 0.213300\n0.75 0.838685\nName: 16606, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.254487624681761, std values: 4.570701485358468, min values: 1.3066e-06, max values: 38.23, median values: 0.17442, and quantile values: 0.25 0.049212\n0.50 0.174420\n0.75 0.708750\nName: 16607, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5087110588301886, std values: 4.925813330220722, min values: 1.3596e-06, max values: 39.492, median values: 0.23671, and quantile values: 0.25 0.073483\n0.50 0.236710\n0.75 0.984260\nName: 16608, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.325513705252201, std values: 5.0907920978509775, min values: 2.9933e-06, max values: 42.281, median values: 0.16255, and quantile values: 0.25 0.05240\n0.50 0.16255\n0.75 0.62039\nName: 16609, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4876125852862891, std values: 5.030846911803747, min values: 5.0172e-07, max values: 42.204, median values: 0.19653, and quantile values: 0.25 0.05548\n0.50 0.19653\n0.75 0.86722\nName: 16610, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4461185927710691, std values: 4.896045818313774, min values: 1.6268e-06, max values: 39.106, median values: 0.2171, and quantile values: 0.25 0.06605\n0.50 0.21710\n0.75 0.84920\nName: 16611, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5636172582339622, std values: 4.93095262030767, min values: 1.2256e-06, max values: 39.144, median values: 0.26279, and quantile values: 0.25 0.068484\n0.50 0.262790\n0.75 1.045200\nName: 16612, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4675967821677358, std values: 4.894171353076659, min values: 9.8287e-07, max values: 39.036, median values: 0.21384, and quantile values: 0.25 0.056416\n0.50 0.213840\n0.75 0.898630\nName: 16613, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4861857463194967, std values: 4.893645952613873, min values: 1.0299e-06, max values: 39.098, median values: 0.27113, and quantile values: 0.25 0.072720\n0.50 0.271130\n0.75 0.894845\nName: 16614, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4583399357647797, std values: 4.892589400847801, min values: 1.2166e-07, max values: 41.166, median values: 0.20877, and quantile values: 0.25 0.049968\n0.50 0.208770\n0.75 0.958320\nName: 16615, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.4238280586275471, std values: 4.8510884760699575, min values: 4.9818e-07, max values: 38.816, median values: 0.1938, and quantile values: 0.25 0.058331\n0.50 0.193800\n0.75 0.841345\nName: 16616, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.2959217583955975, std values: 4.927866537179633, min values: 2.9344e-06, max values: 39.82, median values: 0.17136, and quantile values: 0.25 0.056459\n0.50 0.171360\n0.75 0.612470\nName: 16617, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5868775166572326, std values: 4.9034716724577825, min values: 2.4566e-06, max values: 39.058, median values: 0.26853, and quantile values: 0.25 0.076712\n0.50 0.268530\n0.75 1.007390\nName: 16618, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.552228492048239, std values: 4.901339115226611, min values: 7.7917e-07, max values: 39.17, median values: 0.24911, and quantile values: 0.25 0.068763\n0.50 0.249110\n0.75 1.002105\nName: 16619, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.6968869077157231, std values: 5.063624715117792, min values: 3.0995e-06, max values: 39.479, median values: 0.28857, and quantile values: 0.25 0.090207\n0.50 0.288570\n0.75 1.156850\nName: 16620, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5345153127432076, std values: 5.143376357554636, min values: 8.7237e-07, max values: 44.52, median values: 0.23751, and quantile values: 0.25 0.065263\n0.50 0.237510\n0.75 0.924120\nName: 16621, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5911621791703143, std values: 5.100506443639867, min values: 6.5208e-07, max values: 42.59, median values: 0.23668, and quantile values: 0.25 0.069169\n0.50 0.236680\n0.75 1.051850\nName: 16622, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.3643168092069182, std values: 4.691085211873205, min values: 1.5584e-06, max values: 38.87, median values: 0.22591, and quantile values: 0.25 0.059243\n0.50 0.225910\n0.75 0.870955\nName: 16623, dtype: float64, respectively.", "A sample with 159 features representing metab data with mean values: 1.5525678587364782, std values: 4.9727840624096915, min values: 2.2677e-06, max values: 39.235, median values: 0.24505, and quantile values: 0.25 0.069214\n0.50 0.245050\n0.75 0.975480\nName: 16624, dtype: float64, respectively."] \ No newline at end of file diff --git a/data/age_sex/Cataracts_1/train/prote_text.json b/data/age_sex/Cataracts_1/train/prote_text.json new file mode 100644 index 0000000000000000000000000000000000000000..225c392f650fd211f214f64033898054d743d7af --- /dev/null +++ b/data/age_sex/Cataracts_1/train/prote_text.json @@ -0,0 +1 @@ +["A sample with 2917 features representing prote data with mean values: -0.1015217272549113, std values: 0.790955437669168, min values: -2.475778245535816, max values: 3.0, median values: -0.125272749832293, and quantile values: 0.25 -0.600182\n0.50 -0.125273\n0.75 0.367141\nName: 0, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.008381103519744044, std values: 1.1130811437236199, min values: -2.497627580948261, max values: 3.438667023696733, median values: 0.0395508349067047, and quantile values: 0.25 -0.841675\n0.50 0.039551\n0.75 0.753908\nName: 1, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11559833554146522, std values: 0.8135983006731433, min values: -3.318456222573461, max values: 2.8567018992815587, median values: -0.1578221824252794, and quantile values: 0.25 -0.617951\n0.50 -0.157822\n0.75 0.379353\nName: 2, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3662085592533689, std values: 0.8125763122393868, min values: -2.3301571531665872, max values: 3.2266531185902125, median values: -0.4519775634992929, and quantile values: 0.25 -0.950109\n0.50 -0.451978\n0.75 0.126105\nName: 3, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20484009208974902, std values: 0.9115848590037975, min values: -2.209283142861864, max values: 6.0, median values: -0.2749062486555962, and quantile values: 0.25 -0.837938\n0.50 -0.274906\n0.75 0.301317\nName: 4, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2853571170526667, std values: 1.0294241986513932, min values: -2.174309863242296, max values: 4.026668017837955, median values: 0.1571043024161589, and quantile values: 0.25 -0.524811\n0.50 0.157104\n0.75 1.010948\nName: 5, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.022272858204486913, std values: 0.7974692130388461, min values: -2.605098146828148, max values: 6.0, median values: -0.0334940661928598, and quantile values: 0.25 -0.513404\n0.50 -0.033494\n0.75 0.528924\nName: 6, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06808816881896776, std values: 0.8466823282214425, min values: -2.4536054974529624, max values: 6.0, median values: -0.1256399072219928, and quantile values: 0.25 -0.663478\n0.50 -0.125640\n0.75 0.493766\nName: 7, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18292293514011604, std values: 0.7708187316373354, min values: -2.117042895443173, max values: 5.0, median values: -0.2211168965420713, and quantile values: 0.25 -0.685853\n0.50 -0.221117\n0.75 0.268591\nName: 8, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.021556327641304343, std values: 0.9814359496478426, min values: -2.3808324358856225, max values: 3.0097288687560817, median values: 0.0192236244573792, and quantile values: 0.25 -0.828878\n0.50 0.019224\n0.75 0.719127\nName: 9, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18809297266776245, std values: 0.7483201207543787, min values: -2.025405408182953, max values: 3.197902420311553, median values: -0.278769094983057, and quantile values: 0.25 -0.731889\n0.50 -0.278769\n0.75 0.249668\nName: 10, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6778386557369317, std values: 1.0663027390348203, min values: -2.891990595045606, max values: 6.0, median values: -0.7704282115377639, and quantile values: 0.25 -1.485913\n0.50 -0.770428\n0.75 0.024347\nName: 11, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09298205358820288, std values: 0.97659302652672, min values: -2.8547740449753216, max values: 5.0, median values: -0.1059765386094127, and quantile values: 0.25 -0.693279\n0.50 -0.105977\n0.75 0.546946\nName: 12, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18084141772495851, std values: 0.8271623660036602, min values: -2.4902145713898545, max values: 3.5427287984042666, median values: 0.1899736004020701, and quantile values: 0.25 -0.315502\n0.50 0.189974\n0.75 0.679944\nName: 13, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8328426084401285, std values: 0.8549949458227143, min values: -2.1212040292999417, max values: 5.0, median values: 0.8794682512170362, and quantile values: 0.25 0.313540\n0.50 0.879468\n0.75 1.394223\nName: 14, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46212929929707086, std values: 0.9375740142105703, min values: -2.5122218748354936, max values: 3.8226908388056136, median values: -0.5931026637209267, and quantile values: 0.25 -1.213958\n0.50 -0.593103\n0.75 0.170063\nName: 15, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27524367600923766, std values: 0.8187098683228878, min values: -2.5046447434119337, max values: 4.0, median values: -0.369499215104051, and quantile values: 0.25 -0.919375\n0.50 -0.369499\n0.75 0.262050\nName: 16, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.730318807939966, std values: 0.8945031689882377, min values: -2.8246479422601736, max values: 5.0, median values: -0.8542858866596713, and quantile values: 0.25 -1.375479\n0.50 -0.854286\n0.75 -0.200556\nName: 17, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1604648418163165, std values: 1.0532666576732184, min values: -2.732564679617164, max values: 3.434669824302974, median values: 0.2422385872763331, and quantile values: 0.25 -0.347916\n0.50 0.242239\n0.75 0.825484\nName: 18, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8228362879602884, std values: 1.0968913825886284, min values: -2.083555534231988, max values: 3.241738645014612, median values: 0.8087564677546538, and quantile values: 0.25 -0.022644\n0.50 0.808756\n0.75 1.697751\nName: 19, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06765981659986901, std values: 0.9122561634741392, min values: -2.058476652448415, max values: 3.760287110694155, median values: -0.1419446711172629, and quantile values: 0.25 -0.792328\n0.50 -0.141945\n0.75 0.578568\nName: 20, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3200806440864006, std values: 0.9022856754596313, min values: -2.2915911556076085, max values: 3.050873041333768, median values: -0.4218605789623668, and quantile values: 0.25 -1.005317\n0.50 -0.421861\n0.75 0.256647\nName: 21, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0975267335576244, std values: 0.8800810214971448, min values: -2.062772413318988, max values: 5.0, median values: -0.1959477788071729, and quantile values: 0.25 -0.708913\n0.50 -0.195948\n0.75 0.450120\nName: 22, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2710499629232778, std values: 1.273503312096984, min values: -2.7542003929097176, max values: 5.0, median values: 0.3944426917511163, and quantile values: 0.25 -0.578037\n0.50 0.394443\n0.75 1.151507\nName: 23, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22142386147537493, std values: 0.8365673834930011, min values: -2.118599024240829, max values: 4.0, median values: 0.2234910231982102, and quantile values: 0.25 -0.329015\n0.50 0.223491\n0.75 0.720004\nName: 24, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07817384248923882, std values: 0.8503191430663097, min values: -2.046854428487538, max values: 4.0, median values: 0.0149139251714995, and quantile values: 0.25 -0.502140\n0.50 0.014914\n0.75 0.609527\nName: 25, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27349074350325725, std values: 0.8116503047128792, min values: -2.5825978442440407, max values: 6.0, median values: -0.3196279154398382, and quantile values: 0.25 -0.826980\n0.50 -0.319628\n0.75 0.197578\nName: 26, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.3509583070462405, std values: 1.0831756307078213, min values: -2.727901130262228, max values: 4.0, median values: -1.784002839929171, and quantile values: 0.25 -2.140874\n0.50 -1.784003\n0.75 -0.626708\nName: 27, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4233651245190717, std values: 0.837700235877077, min values: -2.6635706018350787, max values: 3.670892362631932, median values: 0.5027302021644917, and quantile values: 0.25 -0.123377\n0.50 0.502730\n0.75 0.978780\nName: 28, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10783543493913417, std values: 0.8730739460674565, min values: -2.321510952509234, max values: 4.243835016543704, median values: -0.1398508462173134, and quantile values: 0.25 -0.819352\n0.50 -0.139851\n0.75 0.496261\nName: 29, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12928523211576404, std values: 0.9173704298168329, min values: -2.5213149333948146, max values: 3.9048392686725855, median values: 0.0303254310751754, and quantile values: 0.25 -0.551069\n0.50 0.030325\n0.75 0.752653\nName: 30, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10022614845342778, std values: 0.9769920859169697, min values: -2.4176069991382847, max values: 6.0, median values: 0.0610858939780899, and quantile values: 0.25 -0.590878\n0.50 0.061086\n0.75 0.726308\nName: 31, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.043779178214096305, std values: 0.9983039966082595, min values: -2.638186942019407, max values: 4.0, median values: 0.0784849262179793, and quantile values: 0.25 -0.694190\n0.50 0.078485\n0.75 0.621237\nName: 32, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11730484391080492, std values: 0.8139520507083717, min values: -2.1259194601333946, max values: 4.0, median values: 0.1616283138027627, and quantile values: 0.25 -0.412967\n0.50 0.161628\n0.75 0.674836\nName: 33, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41646646466912157, std values: 0.8444742656972749, min values: -2.5774281843044924, max values: 6.0, median values: -0.5220005284514697, and quantile values: 0.25 -1.052111\n0.50 -0.522001\n0.75 0.143694\nName: 34, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10093516737972957, std values: 0.9836302152856387, min values: -2.58513369695146, max values: 4.0, median values: -0.0377296187200655, and quantile values: 0.25 -0.687050\n0.50 -0.037730\n0.75 0.498444\nName: 35, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.028772563586686138, std values: 0.7357506276674619, min values: -2.226424194672579, max values: 4.0, median values: -0.0011108219383365, and quantile values: 0.25 -0.433106\n0.50 -0.001111\n0.75 0.482540\nName: 36, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06175654858304516, std values: 0.7537833029128579, min values: -2.09925610156575, max values: 4.0, median values: 0.0750875882691793, and quantile values: 0.25 -0.429319\n0.50 0.075088\n0.75 0.541669\nName: 37, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2163491249432176, std values: 0.8849906407888126, min values: -2.73836943861057, max values: 3.598076523509904, median values: 0.3010286325686696, and quantile values: 0.25 -0.315816\n0.50 0.301029\n0.75 0.822583\nName: 38, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05241243152974569, std values: 1.105696033345892, min values: -2.6122411453164007, max values: 4.243835016543704, median values: -0.1646828913555739, and quantile values: 0.25 -0.909897\n0.50 -0.164683\n0.75 0.656074\nName: 39, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2998009212739538, std values: 0.8357628042424251, min values: -2.5689076212724418, max values: 5.0, median values: 0.3132916416515216, and quantile values: 0.25 -0.239862\n0.50 0.313292\n0.75 0.830489\nName: 40, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2075188408120905, std values: 0.935042516075482, min values: -2.5689076212724418, max values: 5.0, median values: 0.2732203312941857, and quantile values: 0.25 -0.469279\n0.50 0.273220\n0.75 0.859852\nName: 41, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2537790586557177, std values: 0.8940993757067048, min values: -2.8297583842718432, max values: 5.0, median values: 0.3782409693738802, and quantile values: 0.25 -0.229020\n0.50 0.378241\n0.75 0.833409\nName: 42, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38867592428670383, std values: 1.0225603227112783, min values: -2.8246479422601736, max values: 6.0, median values: -0.4438255437294282, and quantile values: 0.25 -1.193836\n0.50 -0.443826\n0.75 0.355031\nName: 43, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4958032183601026, std values: 0.9979976271274021, min values: -2.521882829270847, max values: 4.0, median values: 0.56601222760025, and quantile values: 0.25 -0.148569\n0.50 0.566012\n0.75 1.236830\nName: 44, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23190524290385417, std values: 1.0900035691239376, min values: -2.4788285026914285, max values: 4.0, median values: 0.1996286244001017, and quantile values: 0.25 -0.652968\n0.50 0.199629\n0.75 1.110363\nName: 45, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.023000907060576458, std values: 0.9693756791964058, min values: -1.993071935034894, max values: 5.0, median values: -0.0876305952952509, and quantile values: 0.25 -0.714696\n0.50 -0.087631\n0.75 0.660313\nName: 46, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12791272444042437, std values: 0.9971675415421776, min values: -2.6820581866633817, max values: 3.0, median values: 0.0271020015047302, and quantile values: 0.25 -0.704936\n0.50 0.027102\n0.75 0.602558\nName: 47, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19214655232405328, std values: 0.9031023701117118, min values: -2.0531592997310795, max values: 3.025409039429847, median values: 0.2589248112252906, and quantile values: 0.25 -0.493771\n0.50 0.258925\n0.75 0.829578\nName: 48, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3785805788829837, std values: 0.8644381279056809, min values: -2.632854336056873, max values: 3.169414082461771, median values: -0.5076977662418465, and quantile values: 0.25 -0.988793\n0.50 -0.507698\n0.75 0.120853\nName: 49, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13856241593284696, std values: 0.9508926440478488, min values: -2.6115251494731915, max values: 3.336438412828754, median values: 0.1639292250692044, and quantile values: 0.25 -0.436925\n0.50 0.163929\n0.75 0.716297\nName: 50, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17319189703109358, std values: 1.886478888066948, min values: -2.825926939679757, max values: 4.278004674434932, median values: 0.2401737515797778, and quantile values: 0.25 -1.768842\n0.50 0.240174\n0.75 1.826756\nName: 51, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2364291790865958, std values: 1.0138075786889245, min values: -2.9090251609554527, max values: 6.0, median values: 0.3610207471029987, and quantile values: 0.25 -0.352212\n0.50 0.361021\n0.75 0.969402\nName: 52, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.388819897934608, std values: 0.832472843753624, min values: -2.5774281843044924, max values: 6.0, median values: -0.5027507415894077, and quantile values: 0.25 -0.981837\n0.50 -0.502751\n0.75 0.136844\nName: 53, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11033292412394151, std values: 0.8994580878060671, min values: -2.018833792006631, max values: 5.0, median values: 0.1257351949223188, and quantile values: 0.25 -0.502864\n0.50 0.125735\n0.75 0.689676\nName: 54, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12459495278916462, std values: 0.8425994389862033, min values: -2.72346435408924, max values: 4.0, median values: -0.2424136234014598, and quantile values: 0.25 -0.722147\n0.50 -0.242414\n0.75 0.401627\nName: 55, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3923239181552282, std values: 1.1081262915321748, min values: -2.6122411453164007, max values: 4.0, median values: -0.3885630202858762, and quantile values: 0.25 -1.215571\n0.50 -0.388563\n0.75 0.426682\nName: 56, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3758152217104395, std values: 0.9858155638349836, min values: -2.8680719719444903, max values: 3.415255285860171, median values: 0.5377462710272125, and quantile values: 0.25 -0.202101\n0.50 0.537746\n0.75 1.050680\nName: 57, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1754489596408624, std values: 0.8370519410871802, min values: -2.6635706018350787, max values: 3.169414082461771, median values: -0.2143888591039137, and quantile values: 0.25 -0.744634\n0.50 -0.214389\n0.75 0.288833\nName: 58, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5323834444212836, std values: 0.8294422963460062, min values: -2.4705236352348297, max values: 3.5908526919299577, median values: 0.5949801572959011, and quantile values: 0.25 -0.002093\n0.50 0.594980\n0.75 1.123674\nName: 59, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11647564214386484, std values: 0.8837448425035349, min values: -2.916688926075616, max values: 6.0, median values: 0.2054975296934632, and quantile values: 0.25 -0.443721\n0.50 0.205498\n0.75 0.698823\nName: 60, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.48950304055684074, std values: 0.7120146102036089, min values: -2.321510952509234, max values: 3.709787027503053, median values: 0.5171573880358304, and quantile values: 0.25 0.076414\n0.50 0.517157\n0.75 0.936499\nName: 61, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32962780094664573, std values: 0.7978567048016952, min values: -2.0923235737594785, max values: 5.0, median values: -0.4490814727199482, and quantile values: 0.25 -0.884798\n0.50 -0.449081\n0.75 0.149237\nName: 62, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5008746310479368, std values: 0.8259100172523797, min values: -2.6635706018350787, max values: 3.0, median values: 0.599390775370725, and quantile values: 0.25 -0.051073\n0.50 0.599391\n0.75 1.110874\nName: 63, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2626438782573293, std values: 0.9696859895349788, min values: -2.673124659932621, max values: 6.0, median values: 0.2548165758608221, and quantile values: 0.25 -0.301893\n0.50 0.254817\n0.75 0.934653\nName: 64, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07177568675725436, std values: 0.8683247137036592, min values: -2.0923235737594785, max values: 6.0, median values: 0.1112402641119837, and quantile values: 0.25 -0.523642\n0.50 0.111240\n0.75 0.639544\nName: 65, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20972803488659109, std values: 0.8363439623087373, min values: -2.601639132009086, max values: 6.0, median values: -0.1568715553848405, and quantile values: 0.25 -0.829867\n0.50 -0.156872\n0.75 0.346635\nName: 66, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04975186004985643, std values: 1.2443758431202507, min values: -2.5953860446419177, max values: 3.2936960268109283, median values: 0.1785731139844268, and quantile values: 0.25 -0.745470\n0.50 0.178573\n0.75 0.946808\nName: 67, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44833201719816246, std values: 0.9013494230014044, min values: -2.127515441234012, max values: 3.630507857092792, median values: -0.546643747053982, and quantile values: 0.25 -1.165234\n0.50 -0.546644\n0.75 0.166803\nName: 68, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2154571503530613, std values: 0.8680045464671157, min values: -2.1073045553985543, max values: 3.5021977227593246, median values: -0.3137611107501646, and quantile values: 0.25 -0.876994\n0.50 -0.313761\n0.75 0.321379\nName: 69, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07055441793534574, std values: 0.7996734942375724, min values: -2.245752867605861, max values: 2.944950884974357, median values: 0.1092190888919135, and quantile values: 0.25 -0.463368\n0.50 0.109219\n0.75 0.614355\nName: 70, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04268655375928331, std values: 0.8831667483989281, min values: -2.6710294992370565, max values: 2.9804248838044773, median values: -0.0117044752865155, and quantile values: 0.25 -0.619152\n0.50 -0.011704\n0.75 0.479263\nName: 71, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3215902455743077, std values: 0.892379441600693, min values: -2.5689076212724418, max values: 5.0, median values: -0.4453126387988556, and quantile values: 0.25 -0.967553\n0.50 -0.445313\n0.75 0.197635\nName: 72, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4321108411018525, std values: 0.9658342413521632, min values: -2.673549169958716, max values: 6.0, median values: -0.5328912193326445, and quantile values: 0.25 -1.169862\n0.50 -0.532891\n0.75 0.223455\nName: 73, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09266884144553608, std values: 0.8798323911222522, min values: -2.673124659932621, max values: 6.0, median values: 0.1673539058727864, and quantile values: 0.25 -0.427859\n0.50 0.167354\n0.75 0.678932\nName: 74, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3236346224085072, std values: 0.8399634902162052, min values: -2.105967784650795, max values: 2.944950884974357, median values: -0.4169375914000563, and quantile values: 0.25 -0.944717\n0.50 -0.416938\n0.75 0.180960\nName: 75, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06465745731164552, std values: 0.7862128061257315, min values: -2.043510008966212, max values: 5.0, median values: -0.0024579909395201, and quantile values: 0.25 -0.481581\n0.50 -0.002458\n0.75 0.574104\nName: 76, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.46953236991704445, std values: 1.1476284230432399, min values: -2.799990485600992, max values: 5.0, median values: 0.5415413916617379, and quantile values: 0.25 -0.292826\n0.50 0.541541\n0.75 1.376210\nName: 77, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07975419122565064, std values: 0.8404704080517711, min values: -2.196708653609315, max values: 6.0, median values: -0.1056995987152273, and quantile values: 0.25 -0.629111\n0.50 -0.105700\n0.75 0.403748\nName: 78, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44741951430597204, std values: 0.8299352421677989, min values: -2.10832026762241, max values: 4.243835016543704, median values: -0.5638220862076968, and quantile values: 0.25 -1.085039\n0.50 -0.563822\n0.75 0.071084\nName: 79, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4172009545352676, std values: 0.968532182155284, min values: -2.028356248468432, max values: 6.0, median values: 0.4747914871176029, and quantile values: 0.25 -0.262030\n0.50 0.474791\n0.75 1.083507\nName: 80, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4594777146007025, std values: 1.2938052238840407, min values: -2.5201815750705507, max values: 4.026668017837955, median values: 0.4101153646154284, and quantile values: 0.25 -0.510390\n0.50 0.410115\n0.75 1.491386\nName: 81, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0987599289576071, std values: 0.8527114549158834, min values: -2.240740315114864, max values: 4.0, median values: -0.1990325708577168, and quantile values: 0.25 -0.703471\n0.50 -0.199033\n0.75 0.456616\nName: 82, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32490375284976825, std values: 0.8386616959104571, min values: -2.0903611962432427, max values: 3.280245386470253, median values: 0.2288508555148171, and quantile values: 0.25 -0.244626\n0.50 0.228851\n0.75 0.865766\nName: 83, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37242594079250735, std values: 0.9830971670169644, min values: -2.118599024240829, max values: 4.0, median values: 0.4556097623034728, and quantile values: 0.25 -0.381614\n0.50 0.455610\n0.75 1.163747\nName: 84, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.025068949675884643, std values: 1.012816615224551, min values: -2.634919142586459, max values: 6.0, median values: -0.1458959665956836, and quantile values: 0.25 -0.673111\n0.50 -0.145896\n0.75 0.575761\nName: 85, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29238006665074284, std values: 1.073937439649721, min values: -2.4018627032084727, max values: 4.278004674434932, median values: 0.3225677348451851, and quantile values: 0.25 -0.418846\n0.50 0.322568\n0.75 0.930569\nName: 86, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08541287267733427, std values: 0.822664813906049, min values: -2.981718296512785, max values: 5.0, median values: 0.0083667121941127, and quantile values: 0.25 -0.454785\n0.50 0.008367\n0.75 0.568816\nName: 87, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.010421530083018804, std values: 0.7995795281976181, min values: -2.732564679617164, max values: 3.9048392686725855, median values: -0.0606511924477578, and quantile values: 0.25 -0.528101\n0.50 -0.060651\n0.75 0.469555\nName: 88, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6578596930265611, std values: 1.0577872403971367, min values: -2.6270253558526173, max values: 4.0, median values: -0.804563712810524, and quantile values: 0.25 -1.505091\n0.50 -0.804564\n0.75 0.067247\nName: 89, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.013099851088544348, std values: 0.8761857491166759, min values: -3.074005993202373, max values: 3.2936960268109283, median values: -0.0013769660880798, and quantile values: 0.25 -0.611299\n0.50 -0.001377\n0.75 0.613690\nName: 90, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39046659441229903, std values: 0.7849322507938278, min values: -1.9315357598542853, max values: 3.630507857092792, median values: 0.4850170521177444, and quantile values: 0.25 -0.117116\n0.50 0.485017\n0.75 0.897453\nName: 91, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4229687761791393, std values: 1.3419924772025893, min values: -3.00972886875607, max values: 3.0, median values: -0.2487145018589555, and quantile values: 0.25 -1.735066\n0.50 -0.248715\n0.75 0.690855\nName: 92, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10181093084228757, std values: 1.2661618363475466, min values: -2.6820581866633817, max values: 3.434669824302974, median values: -0.0934113218530971, and quantile values: 0.25 -0.913299\n0.50 -0.093411\n0.75 0.755291\nName: 93, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.164041191610414, std values: 0.7951283845348932, min values: -2.057713263041302, max values: 3.0046625681201315, median values: 0.193779902049668, and quantile values: 0.25 -0.403956\n0.50 0.193780\n0.75 0.682394\nName: 94, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5783825431632228, std values: 1.0581658839325074, min values: -2.679056533720636, max values: 5.0, median values: -0.6217821529023635, and quantile values: 0.25 -1.462375\n0.50 -0.621782\n0.75 0.163233\nName: 95, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49932139242792256, std values: 1.0461605566636751, min values: -2.8246479422601736, max values: 5.0, median values: 0.7216088600828908, and quantile values: 0.25 -0.148759\n0.50 0.721609\n0.75 1.277415\nName: 96, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08717738571993155, std values: 0.9978803829005198, min values: -2.778044916685896, max values: 3.169414082461771, median values: 0.2245331287991756, and quantile values: 0.25 -0.461943\n0.50 0.224533\n0.75 0.771262\nName: 97, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08955217632057874, std values: 1.0551104705019259, min values: -3.3364384128287203, max values: 3.528773265847577, median values: -0.0473812693516952, and quantile values: 0.25 -0.945879\n0.50 -0.047381\n0.75 0.704177\nName: 98, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3560768567739239, std values: 0.7625568687960779, min values: -2.72346435408924, max values: 4.0, median values: 0.3778040105748605, and quantile values: 0.25 -0.124523\n0.50 0.377804\n0.75 0.825849\nName: 99, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3219914328247982, std values: 0.9223894008985078, min values: -2.226424194672579, max values: 4.0, median values: 0.2744226619409123, and quantile values: 0.25 -0.339265\n0.50 0.274423\n0.75 0.943078\nName: 100, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2974059425113958, std values: 0.8029311591803112, min values: -2.475778245535816, max values: 4.0, median values: -0.3453973763718807, and quantile values: 0.25 -0.915776\n0.50 -0.345397\n0.75 0.244513\nName: 101, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.00551215500533658, std values: 0.7908801197617497, min values: -2.6635706018350787, max values: 3.1801075704642923, median values: 0.0614513223035008, and quantile values: 0.25 -0.528266\n0.50 0.061451\n0.75 0.554534\nName: 102, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03507658102235594, std values: 0.7659676892199043, min values: -2.8121055320525654, max values: 5.0, median values: 0.0234002948104344, and quantile values: 0.25 -0.457954\n0.50 0.023400\n0.75 0.513163\nName: 103, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5318429024402359, std values: 1.011310572818752, min values: -3.0223671288921072, max values: 3.17157439250477, median values: 0.6479765275356344, and quantile values: 0.25 -0.088489\n0.50 0.647977\n0.75 1.268382\nName: 104, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2666464662899755, std values: 0.8240070000057427, min values: -2.57895707818966, max values: 6.0, median values: -0.3500197378021572, and quantile values: 0.25 -0.805629\n0.50 -0.350020\n0.75 0.241279\nName: 105, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13334525008251452, std values: 0.9028543600503302, min values: -2.111892494706718, max values: 4.0, median values: -0.240535263340051, and quantile values: 0.25 -0.816534\n0.50 -0.240535\n0.75 0.428311\nName: 106, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02401290209493849, std values: 0.9774184615544343, min values: -2.687115288423959, max values: 5.0, median values: 0.1707715149287866, and quantile values: 0.25 -0.514473\n0.50 0.170772\n0.75 0.658949\nName: 107, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13304977403158577, std values: 0.8196657690069516, min values: -2.0898718573687374, max values: 3.096891534584617, median values: -0.2357939505796654, and quantile values: 0.25 -0.729419\n0.50 -0.235794\n0.75 0.362340\nName: 108, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28702897738646765, std values: 1.14743157604772, min values: -2.642076374475679, max values: 5.0, median values: -0.2689337513912834, and quantile values: 0.25 -1.224794\n0.50 -0.268934\n0.75 0.549912\nName: 109, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.010785017010086053, std values: 0.9928345664873529, min values: -2.347124757056036, max values: 3.0, median values: -0.0980591812138149, and quantile values: 0.25 -0.806853\n0.50 -0.098059\n0.75 0.761565\nName: 110, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.247339801087026, std values: 1.461623950112987, min values: -2.982771139679002, max values: 4.0, median values: 0.5111433055755914, and quantile values: 0.25 -0.560445\n0.50 0.511143\n0.75 1.385530\nName: 111, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40515517360279557, std values: 0.836769597521046, min values: -2.179853905073574, max values: 6.0, median values: -0.509919773048069, and quantile values: 0.25 -1.057353\n0.50 -0.509920\n0.75 0.156927\nName: 112, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08520616432717813, std values: 1.736559928142778, min values: -2.9109251266226006, max values: 3.721862465295849, median values: 0.1013803723195125, and quantile values: 0.25 -1.719523\n0.50 0.101380\n0.75 1.573933\nName: 113, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7978312903287741, std values: 0.8149813709462916, min values: -2.8327898928872086, max values: 4.0, median values: -0.9209732724014948, and quantile values: 0.25 -1.372041\n0.50 -0.920973\n0.75 -0.319205\nName: 114, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11825456332448832, std values: 1.0210113890500632, min values: -3.3690402064071137, max values: 4.243835016543704, median values: -0.0557116987090149, and quantile values: 0.25 -0.674732\n0.50 -0.055712\n0.75 0.507475\nName: 115, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.47976669544100975, std values: 1.2274916300841217, min values: -2.825926939679757, max values: 3.103622965243153, median values: -0.1711627414634936, and quantile values: 0.25 -1.707519\n0.50 -0.171163\n0.75 0.417380\nName: 116, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2488897225778798, std values: 0.7508858794965492, min values: -2.153912257765272, max values: 5.0, median values: -0.2548898197677819, and quantile values: 0.25 -0.772171\n0.50 -0.254890\n0.75 0.234537\nName: 117, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41387625592571764, std values: 1.0178319184402858, min values: -2.7024513197886706, max values: 3.258347009006034, median values: -0.4217376201028033, and quantile values: 0.25 -1.028222\n0.50 -0.421738\n0.75 0.265309\nName: 118, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2307482597689671, std values: 0.959999525081364, min values: -2.837386543755612, max values: 4.0, median values: -0.294119975727948, and quantile values: 0.25 -0.820179\n0.50 -0.294120\n0.75 0.375546\nName: 119, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1175342895060827, std values: 0.8714584882921346, min values: -2.855306289371099, max values: 6.0, median values: -0.0578895839856385, and quantile values: 0.25 -0.706366\n0.50 -0.057890\n0.75 0.451093\nName: 120, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3880777094479518, std values: 0.8422178221758903, min values: -2.380420273231799, max values: 4.0, median values: 0.5230422567588128, and quantile values: 0.25 -0.125878\n0.50 0.523042\n0.75 0.975808\nName: 121, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29733921225721127, std values: 1.061112337502682, min values: -2.9622221028070275, max values: 6.0, median values: -0.1371305493780731, and quantile values: 0.25 -0.910752\n0.50 -0.137131\n0.75 0.410419\nName: 122, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3324346448576714, std values: 1.1991146356458864, min values: -2.9029979285382743, max values: 3.8226908388056136, median values: -0.1919929245124637, and quantile values: 0.25 -1.057490\n0.50 -0.191993\n0.75 0.477094\nName: 123, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27623185005994105, std values: 0.8562853025154723, min values: -2.476285024008804, max values: 3.760287110694155, median values: 0.2891486969801276, and quantile values: 0.25 -0.288115\n0.50 0.289149\n0.75 0.785148\nName: 124, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5192426215111944, std values: 1.829962559199736, min values: -2.944950884974346, max values: 3.630507857092792, median values: -0.7770780513772522, and quantile values: 0.25 -2.192472\n0.50 -0.777078\n0.75 1.006868\nName: 125, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38698124819583046, std values: 0.8960176183642369, min values: -2.739804196611005, max values: 6.0, median values: -0.441934526384978, and quantile values: 0.25 -1.027806\n0.50 -0.441935\n0.75 0.144727\nName: 126, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3328414073627905, std values: 0.756441623305525, min values: -2.525362520654854, max values: 5.0, median values: 0.3175820107924472, and quantile values: 0.25 -0.116236\n0.50 0.317582\n0.75 0.786686\nName: 127, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37815958847471803, std values: 0.8311614993448594, min values: -2.0118852280441426, max values: 3.3636961113187773, median values: 0.453470109215676, and quantile values: 0.25 -0.185825\n0.50 0.453470\n0.75 0.984805\nName: 128, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.109088383382336, std values: 0.7728078759604784, min values: -2.64479559868397, max values: 6.0, median values: -0.1289374246146203, and quantile values: 0.25 -0.608901\n0.50 -0.128937\n0.75 0.332839\nName: 129, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3546726485687341, std values: 0.7728057326875813, min values: -2.0288440059072874, max values: 3.0362913622068968, median values: -0.4572452644392055, and quantile values: 0.25 -0.932099\n0.50 -0.457245\n0.75 0.123163\nName: 130, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05153641334485569, std values: 0.7854993611472508, min values: -2.117042895443173, max values: 3.9905524164385566, median values: -0.0825187180611269, and quantile values: 0.25 -0.567007\n0.50 -0.082519\n0.75 0.429549\nName: 131, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10483825098817502, std values: 0.7708244944859985, min values: -2.169311742921253, max values: 6.0, median values: 0.1197788748758787, and quantile values: 0.25 -0.401507\n0.50 0.119779\n0.75 0.576411\nName: 132, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6862489067937995, std values: 0.9323075286596435, min values: -2.4407667004368325, max values: 3.709787027503053, median values: -0.8621271566317356, and quantile values: 0.25 -1.446591\n0.50 -0.862127\n0.75 -0.100993\nName: 133, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.029217016842021583, std values: 0.7848767625729295, min values: -2.0177467507667264, max values: 3.280245386470253, median values: -0.0242986614683932, and quantile values: 0.25 -0.539597\n0.50 -0.024299\n0.75 0.516914\nName: 134, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09671774594605423, std values: 0.9144394522730641, min values: -2.673549169958716, max values: 6.0, median values: -0.0342767422218348, and quantile values: 0.25 -0.676531\n0.50 -0.034277\n0.75 0.562382\nName: 135, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6845556217051242, std values: 1.1548095943077408, min values: -2.6820581866633817, max values: 3.455472209455805, median values: -0.6646344439530637, and quantile values: 0.25 -1.728405\n0.50 -0.664634\n0.75 0.102564\nName: 136, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13772003508741887, std values: 0.761290852762132, min values: -2.7257183488872623, max values: 5.0, median values: -0.1368557660547623, and quantile values: 0.25 -0.661341\n0.50 -0.136856\n0.75 0.359212\nName: 137, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.502790952887838, std values: 0.9669538556768147, min values: -2.460739890079915, max values: 4.0, median values: -0.6676366832016307, and quantile values: 0.25 -1.234053\n0.50 -0.667637\n0.75 0.068710\nName: 138, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44865582610475857, std values: 1.0191821367457545, min values: -2.493376658893128, max values: 4.243835016543704, median values: -0.5904499437623161, and quantile values: 0.25 -1.270816\n0.50 -0.590450\n0.75 0.189104\nName: 139, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09174448259207842, std values: 1.3439359471992751, min values: -2.891990595045606, max values: 6.0, median values: -0.183338502598537, and quantile values: 0.25 -1.124901\n0.50 -0.183339\n0.75 1.030455\nName: 140, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08749833875830021, std values: 0.8834250387453622, min values: -2.5820330744015787, max values: 4.0, median values: -0.0089103260864651, and quantile values: 0.25 -0.704724\n0.50 -0.008910\n0.75 0.518690\nName: 141, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04353781119545007, std values: 0.8225883944876751, min values: -2.7884838087481176, max values: 6.0, median values: -0.1454506374618418, and quantile values: 0.25 -0.599325\n0.50 -0.145451\n0.75 0.439325\nName: 142, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22278805358667397, std values: 0.78259136016772, min values: -2.047750152315884, max values: 5.0, median values: -0.2235393014734522, and quantile values: 0.25 -0.791435\n0.50 -0.223539\n0.75 0.243821\nName: 143, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39565766105221956, std values: 0.935294239631535, min values: -2.558791007225312, max values: 3.3483277116524426, median values: 0.5291778972401769, and quantile values: 0.25 -0.202130\n0.50 0.529178\n0.75 1.063822\nName: 144, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5229352487934492, std values: 1.217200981033049, min values: -3.074005993202373, max values: 3.4758930087721422, median values: -0.6110647341015422, and quantile values: 0.25 -1.610269\n0.50 -0.611065\n0.75 0.252425\nName: 145, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25965195769846133, std values: 0.8161358307694058, min values: -2.662750916816848, max values: 5.0, median values: -0.2594659331705771, and quantile values: 0.25 -0.871314\n0.50 -0.259466\n0.75 0.301807\nName: 146, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24557662491915352, std values: 0.9542998819284643, min values: -2.841647375415054, max values: 3.598076523509904, median values: 0.3309048927771016, and quantile values: 0.25 -0.301115\n0.50 0.330905\n0.75 0.837547\nName: 147, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30268741958668405, std values: 0.8560829107494136, min values: -2.5774281843044924, max values: 4.0, median values: -0.3571707245185521, and quantile values: 0.25 -0.875259\n0.50 -0.357171\n0.75 0.183024\nName: 148, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03189360265661139, std values: 0.8258428688922373, min values: -2.510124273981921, max values: 3.191712471143802, median values: -0.000385550392378, and quantile values: 0.25 -0.520644\n0.50 -0.000386\n0.75 0.489234\nName: 149, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07702826776283009, std values: 0.8430085456192297, min values: -2.0773212586940626, max values: 6.0, median values: 0.0634776137610165, and quantile values: 0.25 -0.479903\n0.50 0.063478\n0.75 0.591565\nName: 150, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.00802286926113558, std values: 0.8654947919796605, min values: -2.838932175687192, max values: 4.0, median values: -0.0291218252545999, and quantile values: 0.25 -0.535645\n0.50 -0.029122\n0.75 0.516800\nName: 151, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3004964310445862, std values: 0.9054844458968913, min values: -2.6404955031131814, max values: 5.0, median values: -0.3947999233086481, and quantile values: 0.25 -0.890386\n0.50 -0.394800\n0.75 0.285016\nName: 152, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6318839821774482, std values: 1.1403589765679703, min values: -3.074005993202373, max values: 3.496479817235339, median values: 0.7143605768263527, and quantile values: 0.25 -0.020918\n0.50 0.714361\n0.75 1.417040\nName: 153, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08686751402891253, std values: 0.9583830866932372, min values: -2.841647375415054, max values: 5.0, median values: -0.1157024352321248, and quantile values: 0.25 -0.846163\n0.50 -0.115702\n0.75 0.603335\nName: 154, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19104371377806575, std values: 0.8378215250447492, min values: -2.5689076212724418, max values: 5.0, median values: 0.2202933281792417, and quantile values: 0.25 -0.361756\n0.50 0.220293\n0.75 0.757556\nName: 155, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3808030112653041, std values: 1.1862944547865504, min values: -2.9090251609554527, max values: 6.0, median values: -0.301497284618323, and quantile values: 0.25 -1.034724\n0.50 -0.301497\n0.75 0.426599\nName: 156, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23379309212498647, std values: 1.0616277288958755, min values: -2.6652153608723106, max values: 5.0, median values: 0.3023135901664986, and quantile values: 0.25 -0.520076\n0.50 0.302314\n0.75 1.079097\nName: 157, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44289277281597417, std values: 0.8302198235565018, min values: -2.841647375415054, max values: 5.0, median values: 0.4643036139565409, and quantile values: 0.25 -0.085338\n0.50 0.464304\n0.75 0.964758\nName: 158, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02833599738818578, std values: 0.9161961288583912, min values: -2.221075353514828, max values: 3.528773265847577, median values: 0.0098793835726349, and quantile values: 0.25 -0.708134\n0.50 0.009879\n0.75 0.564875\nName: 159, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.015093043047241574, std values: 0.8883626468682259, min values: -2.1736726278778096, max values: 2.8696712952240047, median values: 0.0017016851428062, and quantile values: 0.25 -0.625284\n0.50 0.001702\n0.75 0.657781\nName: 160, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2835721882846307, std values: 0.8689650554151961, min values: -2.6800544037614658, max values: 4.0, median values: 0.4168688551795577, and quantile values: 0.25 -0.135031\n0.50 0.416869\n0.75 0.814269\nName: 161, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17988860084642286, std values: 0.7883210631789171, min values: -2.572123985342288, max values: 4.0, median values: 0.2343118634692335, and quantile values: 0.25 -0.341620\n0.50 0.234312\n0.75 0.732695\nName: 162, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.034437862829823515, std values: 0.9491534068170935, min values: -2.6466193392086392, max values: 4.0, median values: -0.0215090574388836, and quantile values: 0.25 -0.575631\n0.50 -0.021509\n0.75 0.665631\nName: 163, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26446301875216305, std values: 1.1215230709832855, min values: -2.8350118695332047, max values: 5.0, median values: -0.3036250483059703, and quantile values: 0.25 -1.240659\n0.50 -0.303625\n0.75 0.568927\nName: 164, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5730459978041436, std values: 0.9591894401342022, min values: -2.560041333834972, max values: 3.9905524164385566, median values: 0.6274410373785918, and quantile values: 0.25 -0.049288\n0.50 0.627441\n0.75 1.217223\nName: 165, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17151747181092766, std values: 0.7746543279301354, min values: -2.620939317041317, max values: 4.0, median values: 0.2117237395302751, and quantile values: 0.25 -0.370580\n0.50 0.211724\n0.75 0.717353\nName: 166, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 1.013734210977801, std values: 1.1670370895636166, min values: -1.8908344167392512, max values: 3.9905524164385566, median values: 0.9680003730891292, and quantile values: 0.25 0.168034\n0.50 0.968000\n0.75 1.924821\nName: 167, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2699221951205568, std values: 0.8448937298016871, min values: -2.6122411453164007, max values: 4.0, median values: -0.203675742414562, and quantile values: 0.25 -0.794138\n0.50 -0.203676\n0.75 0.244965\nName: 168, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20673356376613145, std values: 0.889411431346946, min values: -2.9622221028070275, max values: 6.0, median values: -0.2655493696704571, and quantile values: 0.25 -0.752402\n0.50 -0.265549\n0.75 0.388971\nName: 169, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14667292171340024, std values: 0.8522431990215295, min values: -2.5743883495350026, max values: 5.0, median values: -0.1350790680182011, and quantile values: 0.25 -0.596375\n0.50 -0.135079\n0.75 0.347912\nName: 170, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49902062417225707, std values: 0.8657646883183767, min values: -2.045960343889241, max values: 4.0, median values: -0.6421671386414626, and quantile values: 0.25 -1.184342\n0.50 -0.642167\n0.75 0.078595\nName: 171, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.173428318742291, std values: 0.9521876583727626, min values: -2.5832619696830608, max values: 6.0, median values: -0.2819200253172231, and quantile values: 0.25 -0.876149\n0.50 -0.281920\n0.75 0.421918\nName: 172, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41262360937278136, std values: 0.7875174394580415, min values: -1.8347111971686985, max values: 3.9905524164385566, median values: 0.4989107897903317, and quantile values: 0.25 -0.146787\n0.50 0.498911\n0.75 0.956008\nName: 173, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.048491681344014465, std values: 0.9340006140898943, min values: -2.873069976951463, max values: 3.250922035035844, median values: 0.0140629936779176, and quantile values: 0.25 -0.528133\n0.50 0.014063\n0.75 0.628852\nName: 174, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6789556394912367, std values: 0.8727060435143795, min values: -2.7510671817729784, max values: 6.0, median values: -0.7889809509901153, and quantile values: 0.25 -1.268805\n0.50 -0.788981\n0.75 -0.181800\nName: 175, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2022073126544102, std values: 0.7838171657514735, min values: -2.3808324358856225, max values: 3.477886732511886, median values: 0.174788616362492, and quantile values: 0.25 -0.312845\n0.50 0.174789\n0.75 0.704512\nName: 176, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36819132870677845, std values: 0.9750482788319865, min values: -2.643887016977268, max values: 6.0, median values: 0.4937929496873267, and quantile values: 0.25 -0.029358\n0.50 0.493793\n0.75 0.979009\nName: 177, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12886795870854528, std values: 0.8637600610289542, min values: -2.928515832252388, max values: 5.0, median values: 0.1746926239452235, and quantile values: 0.25 -0.337964\n0.50 0.174693\n0.75 0.676316\nName: 178, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03964900297047775, std values: 0.8356487941875186, min values: -2.6023368942328267, max values: 3.312693232344632, median values: -0.0890067533549491, and quantile values: 0.25 -0.627815\n0.50 -0.089007\n0.75 0.452161\nName: 179, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24421702558587008, std values: 0.85200803467687, min values: -2.7648443048846945, max values: 3.721862465295849, median values: -0.2772460204755877, and quantile values: 0.25 -0.851512\n0.50 -0.277246\n0.75 0.296406\nName: 180, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3884701888239356, std values: 0.8424737781104271, min values: -2.066806605942469, max values: 3.405671179043623, median values: -0.5086343177890095, and quantile values: 0.25 -1.005546\n0.50 -0.508634\n0.75 0.128104\nName: 181, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3453001644654742, std values: 0.938806329506509, min values: -2.688157591415518, max values: 5.0, median values: 0.5074826941760061, and quantile values: 0.25 -0.198954\n0.50 0.507483\n0.75 0.968786\nName: 182, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35293624203491064, std values: 1.0336494512469598, min values: -2.590643619371846, max values: 4.0, median values: -0.4815505704645492, and quantile values: 0.25 -1.163468\n0.50 -0.481551\n0.75 0.352891\nName: 183, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04641569675115066, std values: 0.7842537628215148, min values: -1.9465024777113804, max values: 3.0, median values: 0.0031433942705486, and quantile values: 0.25 -0.464089\n0.50 0.003143\n0.75 0.505736\nName: 184, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6243864446507483, std values: 0.8432376235356867, min values: -2.558791007225312, max values: 3.0, median values: -0.7679889835113791, and quantile values: 0.25 -1.231274\n0.50 -0.767989\n0.75 -0.103301\nName: 185, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1453970048870604, std values: 0.8756118509061528, min values: -2.5743883495350026, max values: 5.0, median values: -0.1323815750791207, and quantile values: 0.25 -0.694671\n0.50 -0.132382\n0.75 0.391468\nName: 186, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4803933671205393, std values: 0.9577782137547144, min values: -2.169560365024123, max values: 3.0838352979250487, median values: -0.5859318156773943, and quantile values: 0.25 -1.291316\n0.50 -0.585932\n0.75 0.132243\nName: 187, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06000888147866378, std values: 0.7503526148524574, min values: -2.0508981923905893, max values: 5.0, median values: -0.0605176164140887, and quantile values: 0.25 -0.571281\n0.50 -0.060518\n0.75 0.426410\nName: 188, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31880678214701574, std values: 1.1964269392310605, min values: -2.9472833478224456, max values: 6.0, median values: -0.0921630669785507, and quantile values: 0.25 -1.313402\n0.50 -0.092163\n0.75 0.631590\nName: 189, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.225110158337874, std values: 0.7829231477340585, min values: -2.6701936393964454, max values: 4.0, median values: -0.3042438418036549, and quantile values: 0.25 -0.748393\n0.50 -0.304244\n0.75 0.248523\nName: 190, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4523228210078861, std values: 1.3318972112067327, min values: -2.642042398333877, max values: 3.5908526919299577, median values: 0.6679697009358789, and quantile values: 0.25 -0.258896\n0.50 0.667970\n0.75 1.358821\nName: 191, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.058712050530566225, std values: 0.8211546324419104, min values: -2.126457643282694, max values: 2.7905859975450737, median values: 0.0639623324272183, and quantile values: 0.25 -0.512974\n0.50 0.063962\n0.75 0.662781\nName: 192, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38154866370093976, std values: 0.9902158751247436, min values: -2.589966702820638, max values: 6.0, median values: 0.3919732148667704, and quantile values: 0.25 -0.287675\n0.50 0.391973\n0.75 1.062707\nName: 193, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5088266714616454, std values: 1.185055258120261, min values: -2.5399045531878324, max values: 4.0, median values: 0.6488806137518305, and quantile values: 0.25 -0.238927\n0.50 0.648881\n0.75 1.456889\nName: 194, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5222651574992644, std values: 0.8466398146918173, min values: -2.506827530467421, max values: 4.0, median values: 0.6565163055079606, and quantile values: 0.25 -0.051411\n0.50 0.656516\n0.75 1.134824\nName: 195, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.010948715488294545, std values: 0.8762746487832035, min values: -2.096936800955159, max values: 5.0, median values: -0.0100448333137946, and quantile values: 0.25 -0.697417\n0.50 -0.010045\n0.75 0.634796\nName: 196, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45017794628183005, std values: 1.0689600503115217, min values: -2.887007053971579, max values: 3.236860296211547, median values: -0.3615826662909437, and quantile values: 0.25 -1.129720\n0.50 -0.361583\n0.75 0.253084\nName: 197, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13932520229302928, std values: 1.0952720665437152, min values: -2.7428415536925543, max values: 5.0, median values: -0.2376655220989431, and quantile values: 0.25 -0.897449\n0.50 -0.237666\n0.75 0.666220\nName: 198, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08797632129231066, std values: 0.8543397031387759, min values: -2.3112545790704506, max values: 3.312693232344632, median values: 0.0660597482179511, and quantile values: 0.25 -0.504286\n0.50 0.066060\n0.75 0.627902\nName: 199, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06339580129731384, std values: 0.9592872518899681, min values: -2.6466193392086392, max values: 4.0, median values: -0.0818193133831871, and quantile values: 0.25 -0.624279\n0.50 -0.081819\n0.75 0.584102\nName: 200, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20814536663953154, std values: 0.911283717847837, min values: -2.1232100101643527, max values: 6.0, median values: 0.1172551342431848, and quantile values: 0.25 -0.391676\n0.50 0.117255\n0.75 0.820037\nName: 201, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38073994936241706, std values: 1.0670919337732483, min values: -2.5695487141177, max values: 4.0, median values: 0.5636461884080829, and quantile values: 0.25 -0.198252\n0.50 0.563646\n0.75 1.167953\nName: 202, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.333024294888693, std values: 0.8580135289090537, min values: -1.9034911401134145, max values: 6.0, median values: 0.3910620362045616, and quantile values: 0.25 -0.254371\n0.50 0.391062\n0.75 0.945879\nName: 203, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21421495924999054, std values: 0.9391026333032466, min values: -2.815821936576896, max values: 3.0, median values: -0.1243845990009084, and quantile values: 0.25 -0.846616\n0.50 -0.124385\n0.75 0.443544\nName: 204, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5343915806650655, std values: 0.8064872847416903, min values: -2.2276120832807416, max values: 6.0, median values: 0.5370823630990089, and quantile values: 0.25 0.011649\n0.50 0.537082\n0.75 1.081693\nName: 205, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.027069787336659802, std values: 0.7694225823513254, min values: -2.321510952509234, max values: 2.9534763778843827, median values: 0.0373038981394886, and quantile values: 0.25 -0.501407\n0.50 0.037304\n0.75 0.505690\nName: 206, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.058196396516616594, std values: 0.9559510667400536, min values: -2.607565022042742, max values: 4.0, median values: 0.0301385552105207, and quantile values: 0.25 -0.730644\n0.50 0.030139\n0.75 0.683702\nName: 207, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.009867082060489255, std values: 1.1910299504038242, min values: -2.634919142586459, max values: 6.0, median values: 0.1972007490426325, and quantile values: 0.25 -0.837036\n0.50 0.197201\n0.75 0.914914\nName: 208, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10749107991854664, std values: 0.8990033552026014, min values: -2.643887016977268, max values: 6.0, median values: -0.1230199394125612, and quantile values: 0.25 -0.675147\n0.50 -0.123020\n0.75 0.457901\nName: 209, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08958663258731445, std values: 0.9166326272432935, min values: -2.916688926075616, max values: 6.0, median values: -0.1900725295333548, and quantile values: 0.25 -0.712044\n0.50 -0.190073\n0.75 0.517968\nName: 210, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09965162471451593, std values: 0.7656196841575114, min values: -2.215291168881953, max values: 2.9996722348762725, median values: 0.1247109117906263, and quantile values: 0.25 -0.405391\n0.50 0.124711\n0.75 0.615915\nName: 211, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.053313830457504055, std values: 0.799796467007126, min values: -2.788272971802125, max values: 6.0, median values: 0.0554926443352285, and quantile values: 0.25 -0.475621\n0.50 0.055493\n0.75 0.555337\nName: 212, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04620433150251343, std values: 0.9048563705376248, min values: -2.3344113078233786, max values: 3.784832159836258, median values: -0.1213045815651944, and quantile values: 0.25 -0.784568\n0.50 -0.121305\n0.75 0.585623\nName: 213, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.018001300257278408, std values: 0.9429840028995846, min values: -2.63315074164461, max values: 6.0, median values: -0.0240622473182752, and quantile values: 0.25 -0.591807\n0.50 -0.024062\n0.75 0.608082\nName: 214, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05088304020995784, std values: 0.9214523215471895, min values: -2.673124659932621, max values: 6.0, median values: -0.1015188628202684, and quantile values: 0.25 -0.614087\n0.50 -0.101519\n0.75 0.542626\nName: 215, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35143895210387355, std values: 0.9139414842497683, min values: -1.898124899442181, max values: 3.8226908388056136, median values: 0.4100595695311931, and quantile values: 0.25 -0.342422\n0.50 0.410060\n0.75 1.093434\nName: 216, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44747636848166894, std values: 1.1501865109312968, min values: -2.643887016977268, max values: 6.0, median values: 0.5727104137951192, and quantile values: 0.25 -0.212237\n0.50 0.572710\n0.75 1.329394\nName: 217, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4814235572058699, std values: 0.7714596627639603, min values: -2.0942940418967018, max values: 3.096891534584617, median values: -0.5747208349158041, and quantile values: 0.25 -1.034079\n0.50 -0.574721\n0.75 -0.032314\nName: 218, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05784664928506212, std values: 0.7428153559302456, min values: -1.88919142551898, max values: 6.0, median values: -0.0979085122185477, and quantile values: 0.25 -0.554923\n0.50 -0.097909\n0.75 0.396681\nName: 219, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27145970735151836, std values: 0.8407646448742004, min values: -2.87684958111886, max values: 3.071353155688046, median values: -0.2590956836415186, and quantile values: 0.25 -0.813712\n0.50 -0.259096\n0.75 0.252229\nName: 220, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07929084632788169, std values: 0.9636369364012892, min values: -2.5422910691068967, max values: 3.867701659180865, median values: 0.1730354037053856, and quantile values: 0.25 -0.602683\n0.50 0.173035\n0.75 0.784362\nName: 221, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5978488415270056, std values: 1.035856744976746, min values: -2.684072796644972, max values: 6.0, median values: 0.5760857243270071, and quantile values: 0.25 -0.085163\n0.50 0.576086\n0.75 1.255699\nName: 222, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3183264645237571, std values: 1.1164082379136675, min values: -2.623568901859613, max values: 4.243835016543704, median values: -0.4901035219329119, and quantile values: 0.25 -1.068245\n0.50 -0.490104\n0.75 0.308232\nName: 223, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5364677632547907, std values: 0.8769429450600096, min values: -2.475272102106495, max values: 4.0, median values: 0.6594189012157959, and quantile values: 0.25 -0.037044\n0.50 0.659419\n0.75 1.178917\nName: 224, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12307933579088041, std values: 0.8749574577980662, min values: -2.0075279845727856, max values: 5.0, median values: 0.2233416535025272, and quantile values: 0.25 -0.526297\n0.50 0.223342\n0.75 0.752433\nName: 225, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07901975236019997, std values: 0.8518525468512126, min values: -2.0139736029884823, max values: 5.0, median values: 0.0901932317192888, and quantile values: 0.25 -0.536542\n0.50 0.090193\n0.75 0.622291\nName: 226, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.259920010261207, std values: 0.8048076912709136, min values: -2.15085577507779, max values: 5.0, median values: 0.3132668184282828, and quantile values: 0.25 -0.254109\n0.50 0.313267\n0.75 0.796367\nName: 227, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29467546763454633, std values: 0.8485907188147028, min values: -2.4737574649270093, max values: 3.0, median values: 0.3417202534379192, and quantile values: 0.25 -0.271822\n0.50 0.341720\n0.75 0.892189\nName: 228, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.016665895670448103, std values: 1.0153078411355927, min values: -2.8282523283494294, max values: 3.3760121766849016, median values: 0.0335216209704941, and quantile values: 0.25 -0.592032\n0.50 0.033522\n0.75 0.623461\nName: 229, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18573404413538808, std values: 1.017953776480547, min values: -2.730840794324401, max values: 3.0, median values: -0.2130757830734008, and quantile values: 0.25 -0.862504\n0.50 -0.213076\n0.75 0.475083\nName: 230, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2767083485275813, std values: 1.0038739836433668, min values: -2.5300666228177566, max values: 6.0, median values: 0.1615325335842742, and quantile values: 0.25 -0.351483\n0.50 0.161533\n0.75 0.877515\nName: 231, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38140920194928607, std values: 0.9764613162824715, min values: -2.622709665346679, max values: 3.667275230673496, median values: 0.4822914802089106, and quantile values: 0.25 -0.216655\n0.50 0.482291\n0.75 1.069333\nName: 232, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06601627397040853, std values: 0.9613331955991713, min values: -2.688157591415518, max values: 5.0, median values: -0.1696259301929172, and quantile values: 0.25 -0.702167\n0.50 -0.169626\n0.75 0.457219\nName: 233, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09061918319130348, std values: 0.8768581511103166, min values: -2.0384258727554823, max values: 4.0, median values: -0.1875626440330134, and quantile values: 0.25 -0.720291\n0.50 -0.187563\n0.75 0.464028\nName: 234, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15452711148576462, std values: 0.8823820871754916, min values: -2.2295917953092714, max values: 3.784832159836258, median values: -0.29724583824891, and quantile values: 0.25 -0.804220\n0.50 -0.297246\n0.75 0.404225\nName: 235, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0989351941551901, std values: 0.8923847698542854, min values: -2.783691185534105, max values: 3.0838352979250487, median values: -0.1332666043387788, and quantile values: 0.25 -0.678644\n0.50 -0.133267\n0.75 0.427583\nName: 236, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05103004729301002, std values: 0.8500992785858043, min values: -2.720109091499328, max values: 4.0, median values: -0.1518550620004807, and quantile values: 0.25 -0.646675\n0.50 -0.151855\n0.75 0.482716\nName: 237, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15670994896043236, std values: 0.839765034538315, min values: -2.215291168881953, max values: 3.05919958255637, median values: -0.2448817261135664, and quantile values: 0.25 -0.781107\n0.50 -0.244882\n0.75 0.359615\nName: 238, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.533653664035754, std values: 0.7614262101942293, min values: -2.732564679617164, max values: 3.047545592545638, median values: -0.5729026458072926, and quantile values: 0.25 -1.074503\n0.50 -0.572903\n0.75 -0.085918\nName: 239, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08993209558730356, std values: 1.1037952109837184, min values: -2.982771139679002, max values: 4.0, median values: 0.0501261329558666, and quantile values: 0.25 -0.638482\n0.50 0.050126\n0.75 0.631994\nName: 240, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04832646772426352, std values: 0.8116015058900335, min values: -2.799990485600992, max values: 5.0, median values: -0.0072429026606974, and quantile values: 0.25 -0.520266\n0.50 -0.007243\n0.75 0.557986\nName: 241, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4302421660570611, std values: 0.7983520764067717, min values: -2.100754849305273, max values: 3.528773265847577, median values: 0.4891410866899436, and quantile values: 0.25 -0.105439\n0.50 0.489141\n0.75 0.980743\nName: 242, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05036874949906133, std values: 1.3646784287004232, min values: -2.679056533720636, max values: 5.0, median values: 0.1932553992324594, and quantile values: 0.25 -0.940037\n0.50 0.193255\n0.75 1.213498\nName: 243, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13592318848000884, std values: 0.8597923261872843, min values: -2.5631847770497496, max values: 4.0, median values: 0.1565370010443234, and quantile values: 0.25 -0.477571\n0.50 0.156537\n0.75 0.731425\nName: 244, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08231067648359361, std values: 0.7638278317242875, min values: -2.4960309093026924, max values: 3.627976272701048, median values: -0.0624356325973184, and quantile values: 0.25 -0.620620\n0.50 -0.062436\n0.75 0.388674\nName: 245, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12125678992751367, std values: 0.796514418284057, min values: -2.7542003929097176, max values: 5.0, median values: -0.1300204986916895, and quantile values: 0.25 -0.597730\n0.50 -0.130020\n0.75 0.342622\nName: 246, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.057018390216757066, std values: 0.90343025359025, min values: -2.090851036172633, max values: 4.0, median values: 0.0436904600754174, and quantile values: 0.25 -0.573240\n0.50 0.043690\n0.75 0.559197\nName: 247, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2555635857624808, std values: 0.8132949026805198, min values: -2.745904427753044, max values: 5.0, median values: -0.2852456565459784, and quantile values: 0.25 -0.791084\n0.50 -0.285246\n0.75 0.212817\nName: 248, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08921258475238393, std values: 0.802444048914134, min values: -2.349293916724472, max values: 3.9905524164385566, median values: 0.0086739719061221, and quantile values: 0.25 -0.466790\n0.50 0.008674\n0.75 0.613491\nName: 249, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.46668914296171327, std values: 0.8690572890033937, min values: -2.73836943861057, max values: 3.236860296211547, median values: 0.5547910725762871, and quantile values: 0.25 -0.116867\n0.50 0.554791\n0.75 1.074034\nName: 250, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6038630079231625, std values: 0.8488539206081556, min values: -2.476285024008804, max values: 3.4566816047670264, median values: 0.5616069741014209, and quantile values: 0.25 0.045538\n0.50 0.561607\n0.75 1.178243\nName: 251, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37807653691460635, std values: 0.9454542417715575, min values: -2.679056533720636, max values: 5.0, median values: -0.3715934569466045, and quantile values: 0.25 -0.935729\n0.50 -0.371593\n0.75 0.256903\nName: 252, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17540023789161702, std values: 0.9500824791192753, min values: -2.5122218748354936, max values: 3.0, median values: -0.2641785886762295, and quantile values: 0.25 -0.869795\n0.50 -0.264179\n0.75 0.485905\nName: 253, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24938772662136205, std values: 1.0634889685160678, min values: -2.7211321814067784, max values: 3.5908526919299577, median values: -0.3110583225024643, and quantile values: 0.25 -1.063324\n0.50 -0.311058\n0.75 0.490485\nName: 254, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3837402587466198, std values: 0.912707391839082, min values: -2.9898739724800576, max values: 2.994755503775916, median values: -0.4382027875326303, and quantile values: 0.25 -1.179711\n0.50 -0.438203\n0.75 0.284819\nName: 255, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2998946004166906, std values: 0.8790532679346676, min values: -2.7871422803648627, max values: 3.076680642207697, median values: -0.2969392963293558, and quantile values: 0.25 -0.801901\n0.50 -0.296939\n0.75 0.232927\nName: 256, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.027241532141900407, std values: 0.8816490076791079, min values: -2.4105024411864138, max values: 3.258347009006034, median values: -0.0918782495846333, and quantile values: 0.25 -0.648647\n0.50 -0.091878\n0.75 0.570929\nName: 257, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28445954097939385, std values: 0.8869503459491878, min values: -2.221075353514828, max values: 2.9804248838044773, median values: -0.3759517062540664, and quantile values: 0.25 -0.916396\n0.50 -0.375952\n0.75 0.259116\nName: 258, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18643091962065284, std values: 0.7648832075683807, min values: -2.046819028707187, max values: 3.055874031381882, median values: 0.2322728708765861, and quantile values: 0.25 -0.306150\n0.50 0.232273\n0.75 0.677921\nName: 259, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7243651506149216, std values: 0.8908428513263448, min values: -2.6660404517971856, max values: 4.0, median values: -0.8906858295996429, and quantile values: 0.25 -1.381133\n0.50 -0.890686\n0.75 -0.217534\nName: 260, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.061021252975529294, std values: 0.9049102132088824, min values: -2.837386543755612, max values: 5.0, median values: 0.1158687824326618, and quantile values: 0.25 -0.520564\n0.50 0.115869\n0.75 0.715657\nName: 261, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28737764667305965, std values: 0.8453903586854297, min values: -2.5689076212724418, max values: 5.0, median values: -0.4050024369785164, and quantile values: 0.25 -0.947777\n0.50 -0.405002\n0.75 0.258676\nName: 262, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34490333523303246, std values: 0.9656537557393595, min values: -2.8451834694312192, max values: 3.071353155688046, median values: 0.2807166878087346, and quantile values: 0.25 -0.410779\n0.50 0.280717\n0.75 1.073523\nName: 263, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4273011470153653, std values: 0.9053202573714028, min values: -2.622408470084112, max values: 3.0533207538164056, median values: -0.4472969659279793, and quantile values: 0.25 -1.114095\n0.50 -0.447297\n0.75 0.195613\nName: 264, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3167087253570598, std values: 1.1318784413126275, min values: -2.5859127503381347, max values: 3.455472209455805, median values: 0.3347179788663244, and quantile values: 0.25 -0.517103\n0.50 0.334718\n0.75 1.260497\nName: 265, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.003393454611091403, std values: 0.7961155567833684, min values: -2.084038461791521, max values: 6.0, median values: -0.0561822012943329, and quantile values: 0.25 -0.524717\n0.50 -0.056182\n0.75 0.476141\nName: 266, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41547506706811127, std values: 0.933636216263861, min values: -2.8246479422601736, max values: 5.0, median values: -0.3462337407988491, and quantile values: 0.25 -1.011351\n0.50 -0.346234\n0.75 0.188893\nName: 267, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3381315227081046, std values: 0.9691067882514544, min values: -2.5122218748354936, max values: 3.379902545505621, median values: 0.3319813814362185, and quantile values: 0.25 -0.235818\n0.50 0.331981\n0.75 0.927013\nName: 268, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07569595183187765, std values: 0.7929848700452288, min values: -2.070696498607387, max values: 5.0, median values: -0.0844992637337968, and quantile values: 0.25 -0.610495\n0.50 -0.084499\n0.75 0.401478\nName: 269, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09180986392265318, std values: 0.790656100003001, min values: -2.1002547423964093, max values: 4.0, median values: 0.1306917494747328, and quantile values: 0.25 -0.445247\n0.50 0.130692\n0.75 0.627580\nName: 270, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2931591274789364, std values: 0.8334452543926215, min values: -2.5340007661497093, max values: 3.721862465295849, median values: -0.3871361009318261, and quantile values: 0.25 -0.889492\n0.50 -0.387136\n0.75 0.201174\nName: 271, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31520996049372146, std values: 0.832729297222189, min values: -2.3959835135420136, max values: 6.0, median values: -0.4555666163067175, and quantile values: 0.25 -0.934227\n0.50 -0.455567\n0.75 0.236037\nName: 272, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3731409992328549, std values: 0.8533096744331885, min values: -2.789830374413015, max values: 3.0, median values: -0.4759293323604028, and quantile values: 0.25 -0.996727\n0.50 -0.475929\n0.75 0.162658\nName: 273, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.52822428555102, std values: 0.8246518586905348, min values: -2.63315074164461, max values: 6.0, median values: -0.5750457113912114, and quantile values: 0.25 -1.069417\n0.50 -0.575046\n0.75 -0.048378\nName: 274, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13254421973158523, std values: 0.7514930415246444, min values: -2.300042081328127, max values: 4.0, median values: 0.1819599572265904, and quantile values: 0.25 -0.374132\n0.50 0.181960\n0.75 0.641082\nName: 275, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11241191045677891, std values: 0.8175115028345186, min values: -2.6117120822772133, max values: 5.0, median values: -0.2075980639279756, and quantile values: 0.25 -0.685733\n0.50 -0.207598\n0.75 0.402403\nName: 276, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22052151749574223, std values: 0.8358622638599543, min values: -2.5689076212724418, max values: 5.0, median values: -0.3502246983444483, and quantile values: 0.25 -0.795126\n0.50 -0.350225\n0.75 0.277295\nName: 277, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1414893060384756, std values: 0.8527619549870933, min values: -2.57895707818966, max values: 6.0, median values: 0.2266180947841237, and quantile values: 0.25 -0.383827\n0.50 0.226618\n0.75 0.716559\nName: 278, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1662428487809197, std values: 1.0269181836708394, min values: -2.541693081833126, max values: 3.397048482165858, median values: -0.2945543911189495, and quantile values: 0.25 -0.990601\n0.50 -0.294554\n0.75 0.535590\nName: 279, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01556856959500362, std values: 0.7962166982368275, min values: -2.572123985342288, max values: 5.0, median values: 0.0877425489883724, and quantile values: 0.25 -0.450026\n0.50 0.087743\n0.75 0.529210\nName: 280, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4126366653992269, std values: 0.8025997651335003, min values: -2.196708653609315, max values: 6.0, median values: 0.4963042079998914, and quantile values: 0.25 -0.145256\n0.50 0.496304\n0.75 1.009383\nName: 281, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2946059464144485, std values: 0.8830361276626413, min values: -2.891990595045606, max values: 6.0, median values: -0.3001642710782412, and quantile values: 0.25 -0.838682\n0.50 -0.300164\n0.75 0.231374\nName: 282, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19847485699243023, std values: 0.8281163414340892, min values: -2.212004168819108, max values: 4.243835016543704, median values: -0.2824645263180295, and quantile values: 0.25 -0.755134\n0.50 -0.282465\n0.75 0.285619\nName: 283, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3923027028707989, std values: 0.917333557840248, min values: -2.876502173242568, max values: 2.761618168473592, median values: -0.3714151934010909, and quantile values: 0.25 -1.080282\n0.50 -0.371415\n0.75 0.224776\nName: 284, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1862611212812943, std values: 0.8154252619076024, min values: -2.475778245535816, max values: 3.5427287984042666, median values: 0.1682571085390755, and quantile values: 0.25 -0.344170\n0.50 0.168257\n0.75 0.683367\nName: 285, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11411666264134251, std values: 0.7071375073684723, min values: -2.525881048269423, max values: 3.528773265847577, median values: -0.1448383569802461, and quantile values: 0.25 -0.575135\n0.50 -0.144838\n0.75 0.291988\nName: 286, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22800745667055497, std values: 0.7817730535233246, min values: -1.993071935034894, max values: 3.5908526919299577, median values: 0.2187440155541757, and quantile values: 0.25 -0.290188\n0.50 0.218744\n0.75 0.727949\nName: 287, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3350954627776462, std values: 0.9879827984908921, min values: -2.643887016977268, max values: 6.0, median values: -0.457533911757542, and quantile values: 0.25 -1.103908\n0.50 -0.457534\n0.75 0.367790\nName: 288, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1691512298447924, std values: 1.093831033271127, min values: -2.58513369695146, max values: 4.0, median values: -0.177645131603733, and quantile values: 0.25 -1.044763\n0.50 -0.177645\n0.75 0.623896\nName: 289, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1844202671877093, std values: 0.8507177409251427, min values: -2.010220823219501, max values: 3.155379154255993, median values: -0.257985147912116, and quantile values: 0.25 -0.849990\n0.50 -0.257985\n0.75 0.393308\nName: 290, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16324059448217967, std values: 1.0954198995044362, min values: -2.769191083399913, max values: 3.0, median values: 0.077214273125859, and quantile values: 0.25 -0.715490\n0.50 0.077214\n0.75 0.564709\nName: 291, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3072393303671833, std values: 0.9322709198588469, min values: -2.6685266729136536, max values: 6.0, median values: -0.3357380676773432, and quantile values: 0.25 -1.070297\n0.50 -0.335738\n0.75 0.343525\nName: 292, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25751919894674163, std values: 1.1688701134053796, min values: -2.8350118695332047, max values: 5.0, median values: 0.5470024339081492, and quantile values: 0.25 -0.263763\n0.50 0.547002\n0.75 1.048573\nName: 293, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5354107248135214, std values: 0.8411573104759661, min values: -2.7648443048846945, max values: 3.455472209455805, median values: 0.5675240920726228, and quantile values: 0.25 0.008565\n0.50 0.567524\n0.75 1.070783\nName: 294, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4746304329817546, std values: 1.0246324460577563, min values: -2.6652153608723106, max values: 5.0, median values: -0.4063135263214776, and quantile values: 0.25 -1.216976\n0.50 -0.406314\n0.75 0.193957\nName: 295, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19465255880305993, std values: 0.8836869037622227, min values: -2.63315074164461, max values: 6.0, median values: -0.1756286188202475, and quantile values: 0.25 -0.689026\n0.50 -0.175629\n0.75 0.325728\nName: 296, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22623419256016825, std values: 1.136057112554247, min values: -2.09185204719853, max values: 3.4758930087721422, median values: 0.1362240102160224, and quantile values: 0.25 -0.704565\n0.50 0.136224\n0.75 1.242888\nName: 297, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.012308987703034645, std values: 0.8546107176722855, min values: -2.243700453073378, max values: 3.9905524164385566, median values: -0.0018451350219205, and quantile values: 0.25 -0.653731\n0.50 -0.001845\n0.75 0.627781\nName: 298, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12264390638382099, std values: 0.8766646278206933, min values: -3.002493140275396, max values: 5.0, median values: 0.0919969225916638, and quantile values: 0.25 -0.492030\n0.50 0.091997\n0.75 0.669203\nName: 299, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32626413473083643, std values: 0.8933146866387721, min values: -2.837386543755612, max values: 4.0, median values: -0.3635513965807646, and quantile values: 0.25 -0.882423\n0.50 -0.363551\n0.75 0.206713\nName: 300, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7609700242798393, std values: 1.1417096622630294, min values: -2.6466193392086392, max values: 4.0, median values: 0.975047560708108, and quantile values: 0.25 0.050505\n0.50 0.975048\n0.75 1.601779\nName: 301, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12626402568675196, std values: 0.9824073518637875, min values: -2.174309863242296, max values: 3.280245386470253, median values: 0.0810818745249752, and quantile values: 0.25 -0.658655\n0.50 0.081082\n0.75 0.841660\nName: 302, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6352281345343345, std values: 0.8701114999372037, min values: -2.5953860446419177, max values: 3.0, median values: -0.7575597757284813, and quantile values: 0.25 -1.252171\n0.50 -0.757560\n0.75 -0.071249\nName: 303, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38963537282326716, std values: 0.9466605832835256, min values: -2.1644103278868894, max values: 6.0, median values: -0.5073214055306579, and quantile values: 0.25 -1.161703\n0.50 -0.507321\n0.75 0.252425\nName: 304, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10551450751163388, std values: 0.9744484832862531, min values: -2.8531572940820533, max values: 3.0, median values: 0.2820059935986753, and quantile values: 0.25 -0.412765\n0.50 0.282006\n0.75 0.781935\nName: 305, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.603644051221578, std values: 0.9480301244954525, min values: -2.2398683045325223, max values: 3.3483277116524426, median values: 0.6009265765792049, and quantile values: 0.25 -0.118354\n0.50 0.600927\n0.75 1.264767\nName: 306, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.033005558964537544, std values: 0.9515236069143339, min values: -2.2915911556076085, max values: 3.0, median values: 0.0562373670007799, and quantile values: 0.25 -0.690135\n0.50 0.056237\n0.75 0.744147\nName: 307, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20073421090409796, std values: 0.7568163690529375, min values: -2.5422910691068967, max values: 3.0, median values: 0.2491974056465212, and quantile values: 0.25 -0.315960\n0.50 0.249197\n0.75 0.726012\nName: 308, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4033801511426314, std values: 0.9219776767771434, min values: -2.023695050960669, max values: 4.026668017837955, median values: 0.2962825970180875, and quantile values: 0.25 -0.237793\n0.50 0.296283\n0.75 1.012602\nName: 309, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2769116437487187, std values: 0.9084875809226666, min values: -2.673124659932621, max values: 6.0, median values: -0.2973940536669934, and quantile values: 0.25 -0.819420\n0.50 -0.297394\n0.75 0.298432\nName: 310, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 1.0253804040136196, std values: 1.0024866588507564, min values: -2.0297074151331134, max values: 4.026668017837955, median values: 0.9884029076952748, and quantile values: 0.25 0.340969\n0.50 0.988403\n0.75 1.727425\nName: 311, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07744037581042858, std values: 0.8238053272512333, min values: -2.8531572940820533, max values: 3.0651860794139534, median values: -0.1737902298427847, and quantile values: 0.25 -0.620954\n0.50 -0.173790\n0.75 0.422162\nName: 312, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.015072549495431907, std values: 0.8013804625495572, min values: -2.2012167772695554, max values: 3.670892362631932, median values: -0.0033088366629428, and quantile values: 0.25 -0.530360\n0.50 -0.003309\n0.75 0.523453\nName: 313, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10266587420498402, std values: 0.8387020899643717, min values: -2.1217267615601973, max values: 3.32433157891547, median values: 0.1372736974237683, and quantile values: 0.25 -0.505682\n0.50 0.137274\n0.75 0.721640\nName: 314, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.007456131192010444, std values: 0.800501971185942, min values: -2.525362520654854, max values: 5.0, median values: -0.0174195107120233, and quantile values: 0.25 -0.495983\n0.50 -0.017420\n0.75 0.443362\nName: 315, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.3633237460819354, std values: 1.4051874132000672, min values: -2.944950884974346, max values: 4.278004674434932, median values: -2.005878060979438, and quantile values: 0.25 -2.330990\n0.50 -2.005878\n0.75 -0.305086\nName: 316, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.2079251131478401, std values: 1.1316893286768883, min values: -2.727901130262228, max values: 4.0, median values: -1.697451438218042, and quantile values: 0.25 -2.145101\n0.50 -1.697451\n0.75 -0.322829\nName: 317, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09368148187554118, std values: 0.8146932724986582, min values: -2.7314147016889114, max values: 4.0, median values: 0.0398874997050411, and quantile values: 0.25 -0.433539\n0.50 0.039887\n0.75 0.599936\nName: 318, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2819425224503675, std values: 0.9749495305082031, min values: -2.673549169958716, max values: 6.0, median values: -0.2688559887997492, and quantile values: 0.25 -1.084443\n0.50 -0.268856\n0.75 0.403133\nName: 319, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3080764292096697, std values: 1.0836836910533287, min values: -2.5668911794391143, max values: 3.4217036547572275, median values: -0.3646878433254856, and quantile values: 0.25 -1.268884\n0.50 -0.364688\n0.75 0.473416\nName: 320, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.403522666939179, std values: 1.0614710556700528, min values: -2.801183634509044, max values: 5.0, median values: 0.4920919232657695, and quantile values: 0.25 -0.267221\n0.50 0.492092\n0.75 1.114710\nName: 321, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12879891009835723, std values: 1.19400378710468, min values: -2.815821936576896, max values: 3.022367128892113, median values: 0.0509973649247533, and quantile values: 0.25 -0.687918\n0.50 0.050997\n0.75 0.647728\nName: 322, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20017052583606718, std values: 0.8380569302800471, min values: -2.7648443048846945, max values: 3.477886732511886, median values: -0.2082984451472246, and quantile values: 0.25 -0.813086\n0.50 -0.208298\n0.75 0.322963\nName: 323, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7001248195924719, std values: 1.128302308945001, min values: -2.6710294992370565, max values: 3.241738645014612, median values: 0.7241562588653254, and quantile values: 0.25 -0.054812\n0.50 0.724156\n0.75 1.649617\nName: 324, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42543293250807873, std values: 1.029996829795495, min values: -2.6660404517971856, max values: 4.0, median values: -0.5566330078490211, and quantile values: 0.25 -1.291062\n0.50 -0.556633\n0.75 0.282035\nName: 325, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2694845528672112, std values: 0.8043718770498471, min values: -2.5213149333948146, max values: 3.379902545505621, median values: 0.3268060989010136, and quantile values: 0.25 -0.245160\n0.50 0.326806\n0.75 0.787925\nName: 326, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19746287980288307, std values: 0.8474524553506337, min values: -2.497631940196456, max values: 3.721862465295849, median values: -0.2945543911189495, and quantile values: 0.25 -0.781903\n0.50 -0.294554\n0.75 0.320076\nName: 327, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5259738502504653, std values: 0.8136192690706878, min values: -2.2012167772695554, max values: 3.0148736195915853, median values: 0.520591489146306, and quantile values: 0.25 0.027185\n0.50 0.520591\n0.75 1.064240\nName: 328, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11052078639918454, std values: 0.7544255285151599, min values: -2.102760548955074, max values: 4.0, median values: -0.0999964088928241, and quantile values: 0.25 -0.652444\n0.50 -0.099996\n0.75 0.365492\nName: 329, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15447622038439518, std values: 0.9608539549280013, min values: -2.01271952487341, max values: 5.0, median values: -0.2298201405400715, and quantile values: 0.25 -0.936061\n0.50 -0.229820\n0.75 0.540043\nName: 330, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4560276838951833, std values: 1.0352645356126506, min values: -2.4817458236116643, max values: 4.0, median values: 0.3541510779743104, and quantile values: 0.25 -0.209434\n0.50 0.354151\n0.75 1.146339\nName: 331, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.596303302928747, std values: 1.1386998731005327, min values: -2.156806272086999, max values: 3.528773265847577, median values: 0.4974766012521252, and quantile values: 0.25 -0.259551\n0.50 0.497477\n0.75 1.367678\nName: 332, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11616464715513901, std values: 1.2005092500466885, min values: -2.982771139679002, max values: 4.278004674434932, median values: 0.1557166302748745, and quantile values: 0.25 -0.767957\n0.50 0.155717\n0.75 0.759762\nName: 333, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30087443644702766, std values: 0.9998498608809527, min values: -2.642042398333877, max values: 3.281452258958016, median values: -0.1538054595274203, and quantile values: 0.25 -0.895967\n0.50 -0.153805\n0.75 0.374811\nName: 334, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15966621161740605, std values: 1.0361137290383107, min values: -2.8547740449753216, max values: 5.0, median values: -0.1718893745852022, and quantile values: 0.25 -0.962803\n0.50 -0.171889\n0.75 0.660587\nName: 335, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.033092689304076155, std values: 0.8625905571957172, min values: -2.5013836759277064, max values: 4.0, median values: 0.0790374234906981, and quantile values: 0.25 -0.597646\n0.50 0.079037\n0.75 0.666869\nName: 336, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5260269463731883, std values: 0.9957598948103141, min values: -2.608390851963037, max values: 5.0, median values: -0.4372627097642226, and quantile values: 0.25 -1.241221\n0.50 -0.437263\n0.75 0.188235\nName: 337, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.017230942132412205, std values: 1.0392410550924878, min values: -2.73836943861057, max values: 3.082096909284949, median values: -0.0892914966725043, and quantile values: 0.25 -0.828545\n0.50 -0.089291\n0.75 0.866763\nName: 338, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21324174795099024, std values: 0.8826814304714077, min values: -2.724017888297919, max values: 3.306454397423372, median values: 0.2216478850371866, and quantile values: 0.25 -0.281462\n0.50 0.221648\n0.75 0.754408\nName: 339, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28968501785759826, std values: 0.7239881045245299, min values: -2.5759052915632985, max values: 3.598076523509904, median values: 0.3203347697696913, and quantile values: 0.25 -0.135494\n0.50 0.320335\n0.75 0.727755\nName: 340, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29126513464285186, std values: 0.7928342781671008, min values: -1.988675962110902, max values: 4.243835016543704, median values: 0.3507225209392601, and quantile values: 0.25 -0.225042\n0.50 0.350723\n0.75 0.835749\nName: 341, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12329426030765718, std values: 1.0394118714263982, min values: -2.049996677874803, max values: 3.496479817235339, median values: -0.241751851791177, and quantile values: 0.25 -0.961151\n0.50 -0.241752\n0.75 0.583743\nName: 342, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14818135729422396, std values: 0.7696206771170678, min values: -2.0640140184960183, max values: 3.0, median values: 0.1534431988233344, and quantile values: 0.25 -0.330542\n0.50 0.153443\n0.75 0.606030\nName: 343, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.002022136891591515, std values: 0.7938486582003969, min values: -2.688157591415518, max values: 5.0, median values: -0.0332362313160371, and quantile values: 0.25 -0.510550\n0.50 -0.033236\n0.75 0.467529\nName: 344, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21238019209311446, std values: 0.7494521168949234, min values: -2.5039074859839925, max values: 4.0, median values: -0.2238499087893124, and quantile values: 0.25 -0.694891\n0.50 -0.223850\n0.75 0.220390\nName: 345, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13137470416263428, std values: 0.9850349235345771, min values: -2.6850842010492566, max values: 6.0, median values: -0.0124320695841309, and quantile values: 0.25 -0.596690\n0.50 -0.012432\n0.75 0.796670\nName: 346, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18596656496217126, std values: 0.7779166761413459, min values: -2.100754849305273, max values: 3.169414082461771, median values: 0.0866341707835653, and quantile values: 0.25 -0.324831\n0.50 0.086634\n0.75 0.653683\nName: 347, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.027854029175775872, std values: 0.7931475647009013, min values: -2.374446373878101, max values: 4.0, median values: 0.1015741426350442, and quantile values: 0.25 -0.504752\n0.50 0.101574\n0.75 0.544382\nName: 348, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23898855095565086, std values: 0.9816388481560319, min values: -2.3771558481240653, max values: 4.0, median values: -0.311794558056847, and quantile values: 0.25 -1.032718\n0.50 -0.311795\n0.75 0.447589\nName: 349, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.3757366275514507, std values: 1.140316241229373, min values: -2.9029979285382743, max values: 3.528773265847577, median values: -1.708942626140745, and quantile values: 0.25 -2.276158\n0.50 -1.708943\n0.75 -0.661307\nName: 350, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13904761239580513, std values: 0.8107958079120778, min values: -2.841647375415054, max values: 5.0, median values: -0.1085247697969293, and quantile values: 0.25 -0.729170\n0.50 -0.108525\n0.75 0.428645\nName: 351, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45431751917325114, std values: 1.0972516825995402, min values: -2.8282523283494294, max values: 4.0, median values: 0.5608323359833995, and quantile values: 0.25 -0.207743\n0.50 0.560832\n0.75 1.307934\nName: 352, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26025692732017186, std values: 0.8741246421452898, min values: -2.73836943861057, max values: 3.627976272701048, median values: -0.3152078794741157, and quantile values: 0.25 -0.807420\n0.50 -0.315208\n0.75 0.261859\nName: 353, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33560816107437663, std values: 0.8389870858313685, min values: -2.4783185229657185, max values: 6.0, median values: -0.4446993697695896, and quantile values: 0.25 -0.913550\n0.50 -0.444699\n0.75 0.132215\nName: 354, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07987129445405979, std values: 0.8992675567959407, min values: -2.572123985342288, max values: 5.0, median values: 0.0188655484551721, and quantile values: 0.25 -0.514284\n0.50 0.018866\n0.75 0.694155\nName: 355, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5131236948411247, std values: 1.0022725802692898, min values: -2.6466193392086392, max values: 4.0, median values: 0.6661808065629091, and quantile values: 0.25 -0.032692\n0.50 0.666181\n0.75 1.214452\nName: 356, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24994503595431353, std values: 0.8839829278374982, min values: -2.579723791499676, max values: 4.026668017837955, median values: 0.1996567180381777, and quantile values: 0.25 -0.327009\n0.50 0.199657\n0.75 0.803003\nName: 357, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03188011896887996, std values: 0.8940749586610925, min values: -2.687115288423959, max values: 5.0, median values: 0.0247714938561586, and quantile values: 0.25 -0.574521\n0.50 0.024771\n0.75 0.562162\nName: 358, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33087247482218, std values: 0.8822086717557174, min values: -2.414039489297912, max values: 6.0, median values: 0.3751071879543058, and quantile values: 0.25 -0.300805\n0.50 0.375107\n0.75 1.016749\nName: 359, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22156251314369363, std values: 1.1354764050596893, min values: -3.236860296211546, max values: 3.9905524164385566, median values: -0.0023634526469137, and quantile values: 0.25 -0.926205\n0.50 -0.002363\n0.75 0.541127\nName: 360, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1290021594290915, std values: 0.721078563803461, min values: -1.9714657939353928, max values: 5.0, median values: -0.1738047702723439, and quantile values: 0.25 -0.601266\n0.50 -0.173805\n0.75 0.289493\nName: 361, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4034817327802745, std values: 0.8541455213782942, min values: -2.73836943861057, max values: 3.258347009006034, median values: -0.478789899800668, and quantile values: 0.25 -1.069752\n0.50 -0.478790\n0.75 0.147121\nName: 362, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.030433165691653122, std values: 0.7701101533564921, min values: -2.4657737907743, max values: 3.098911021393695, median values: -0.0048193984416359, and quantile values: 0.25 -0.460922\n0.50 -0.004819\n0.75 0.497103\nName: 363, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4735101433892259, std values: 0.9535510495517269, min values: -2.5293911731823453, max values: 3.306454397423372, median values: -0.4502697743034318, and quantile values: 0.25 -1.021749\n0.50 -0.450270\n0.75 0.106034\nName: 364, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2877104579440511, std values: 0.8270655668105227, min values: -2.1323052317104474, max values: 4.0, median values: 0.3563510600686305, and quantile values: 0.25 -0.201564\n0.50 0.356351\n0.75 0.791122\nName: 365, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10019474430137199, std values: 0.8926462171884817, min values: -2.564449278715455, max values: 3.258347009006034, median values: 0.1591023682833441, and quantile values: 0.25 -0.528386\n0.50 0.159102\n0.75 0.712813\nName: 366, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.009505684733456322, std values: 0.8963355750549261, min values: -2.5825978442440407, max values: 6.0, median values: -0.0531759243180092, and quantile values: 0.25 -0.631763\n0.50 -0.053176\n0.75 0.553057\nName: 367, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17708434593254907, std values: 0.8656156731620475, min values: -2.633611564848039, max values: 4.0, median values: 0.1564254868260324, and quantile values: 0.25 -0.355232\n0.50 0.156425\n0.75 0.741077\nName: 368, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4107430065435144, std values: 1.0607327517758685, min values: -2.7314147016889114, max values: 3.627976272701048, median values: 0.3635008987435174, and quantile values: 0.25 -0.412533\n0.50 0.363501\n0.75 1.249053\nName: 369, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2368350270656192, std values: 0.9050997016790754, min values: -2.7871422803648627, max values: 3.5427287984042666, median values: 0.338273478047612, and quantile values: 0.25 -0.342359\n0.50 0.338273\n0.75 0.890299\nName: 370, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04025713198263973, std values: 0.909887596675255, min values: -2.6603025395856053, max values: 5.0, median values: 0.1496824418152563, and quantile values: 0.25 -0.424814\n0.50 0.149682\n0.75 0.595868\nName: 371, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06948339592909365, std values: 0.8866474288016005, min values: -2.7510671817729784, max values: 6.0, median values: 0.1318360214293352, and quantile values: 0.25 -0.472544\n0.50 0.131836\n0.75 0.663390\nName: 372, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11900019958727572, std values: 0.8764022497017157, min values: -2.194609712555955, max values: 4.0, median values: -0.2049182318943845, and quantile values: 0.25 -0.810056\n0.50 -0.204918\n0.75 0.487063\nName: 373, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6041850760925456, std values: 1.1020248443103426, min values: -2.0085619686347487, max values: 4.278004674434932, median values: 0.4468529506118204, and quantile values: 0.25 -0.265794\n0.50 0.446853\n0.75 1.428060\nName: 374, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3159014364934703, std values: 0.8280707457834916, min values: -2.4737574649270093, max values: 3.0, median values: -0.4149170978610231, and quantile values: 0.25 -0.955660\n0.50 -0.414917\n0.75 0.221083\nName: 375, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6434890568746849, std values: 0.8646626939239188, min values: -2.6115251494731915, max values: 3.362228250221886, median values: 0.7156565086294289, and quantile values: 0.25 0.056801\n0.50 0.715657\n0.75 1.285797\nName: 376, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.912712380200523, std values: 1.6021350204924065, min values: -3.530441124712342, max values: 3.721862465295849, median values: -1.6975924612794044, and quantile values: 0.25 -2.015220\n0.50 -1.697592\n0.75 0.179975\nName: 377, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23145751236945786, std values: 0.8337403105281351, min values: -2.0531592997310795, max values: 3.4217036547572275, median values: -0.3292688104449557, and quantile values: 0.25 -0.833136\n0.50 -0.329269\n0.75 0.300568\nName: 378, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06235444774955279, std values: 0.8821032423776144, min values: -2.739804196611005, max values: 6.0, median values: -0.0522323608731145, and quantile values: 0.25 -0.623360\n0.50 -0.052232\n0.75 0.466360\nName: 379, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2011652116651572, std values: 0.8164492191423455, min values: -1.9265792964220183, max values: 3.169414082461771, median values: 0.1792167352648624, and quantile values: 0.25 -0.332738\n0.50 0.179217\n0.75 0.726586\nName: 380, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27828600911086293, std values: 0.8022910160549004, min values: -2.6404955031131814, max values: 6.0, median values: -0.2543994292324317, and quantile values: 0.25 -0.865972\n0.50 -0.254399\n0.75 0.234239\nName: 381, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1305351700400697, std values: 0.9307719884047049, min values: -2.928515832252388, max values: 5.0, median values: -0.2153864269341826, and quantile values: 0.25 -0.889457\n0.50 -0.215386\n0.75 0.526266\nName: 382, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3131699167188848, std values: 1.066969939570033, min values: -2.0942940418967018, max values: 3.9905524164385566, median values: 0.2367417857651293, and quantile values: 0.25 -0.545574\n0.50 0.236742\n0.75 1.233051\nName: 383, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15712339002495063, std values: 0.8112448150609087, min values: -2.1232100101643527, max values: 6.0, median values: -0.1822570312566263, and quantile values: 0.25 -0.694470\n0.50 -0.182257\n0.75 0.339016\nName: 384, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06499704617227947, std values: 0.9993715696086871, min values: -2.580492024304656, max values: 3.9905524164385566, median values: 0.2137601188660321, and quantile values: 0.25 -0.425204\n0.50 0.213760\n0.75 0.668346\nName: 385, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3881059075723566, std values: 0.8529339982221597, min values: -2.5624611946462936, max values: 5.0, median values: -0.478471865858983, and quantile values: 0.25 -0.950975\n0.50 -0.478472\n0.75 0.158109\nName: 386, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3717240137157222, std values: 0.8011240200521147, min values: -2.0506740011319087, max values: 5.0, median values: -0.4814577979906567, and quantile values: 0.25 -0.916136\n0.50 -0.481458\n0.75 0.069096\nName: 387, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.010155007827997645, std values: 0.9102061814694455, min values: -2.051448664269812, max values: 5.0, median values: -0.0447111975889751, and quantile values: 0.25 -0.616352\n0.50 -0.044711\n0.75 0.569316\nName: 388, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31789786913858864, std values: 0.8488904931302558, min values: -2.0942940418967018, max values: 3.397048482165858, median values: -0.4177111372256189, and quantile values: 0.25 -0.925486\n0.50 -0.417711\n0.75 0.159833\nName: 389, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02168427962244427, std values: 0.8908135963088744, min values: -2.082668095692336, max values: 3.477886732511886, median values: 0.0481297553417961, and quantile values: 0.25 -0.648441\n0.50 0.048130\n0.75 0.614888\nName: 390, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5642978059536733, std values: 0.9435465333600379, min values: -2.9472833478224456, max values: 6.0, median values: -0.6949114029032646, and quantile values: 0.25 -1.237422\n0.50 -0.694911\n0.75 0.036112\nName: 391, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2364785056518909, std values: 0.8507578781858843, min values: -2.090169083820303, max values: 3.667275230673496, median values: -0.3262761526278416, and quantile values: 0.25 -0.879079\n0.50 -0.326276\n0.75 0.339091\nName: 392, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.021798755880863573, std values: 0.7345082823866173, min values: -2.087432639025188, max values: 4.0, median values: -0.0867197102265131, and quantile values: 0.25 -0.498100\n0.50 -0.086720\n0.75 0.433902\nName: 393, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7362127707097617, std values: 0.9329426346055224, min values: -2.687115288423959, max values: 5.0, median values: 0.8701748296193409, and quantile values: 0.25 0.205932\n0.50 0.870175\n0.75 1.383558\nName: 394, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2720620562637342, std values: 0.8437178694386417, min values: -2.6652153608723106, max values: 3.518664430018096, median values: -0.287713246723734, and quantile values: 0.25 -0.916927\n0.50 -0.287713\n0.75 0.311245\nName: 395, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2367101475978357, std values: 0.884357533679687, min values: -2.0152195530083565, max values: 6.0, median values: 0.3011727146678986, and quantile values: 0.25 -0.422849\n0.50 0.301173\n0.75 0.924546\nName: 396, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05009705030826501, std values: 0.813885572631215, min values: -2.730840794324401, max values: 3.0, median values: 0.0316755060922716, and quantile values: 0.25 -0.509136\n0.50 0.031676\n0.75 0.571994\nName: 397, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.027456220252304014, std values: 0.799430060886964, min values: -2.730840794324401, max values: 3.2266531185902125, median values: -0.0693045377928184, and quantile values: 0.25 -0.538101\n0.50 -0.069305\n0.75 0.452160\nName: 398, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0480591779668551, std values: 0.9467491484361219, min values: -2.6320986139293034, max values: 3.670892362631932, median values: -0.0107129976952174, and quantile values: 0.25 -0.607121\n0.50 -0.010713\n0.75 0.532666\nName: 399, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2230721559537556, std values: 1.053524351797412, min values: -2.739804196611005, max values: 6.0, median values: -0.1409488018336009, and quantile values: 0.25 -0.928795\n0.50 -0.140949\n0.75 0.472755\nName: 400, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2973157086939739, std values: 0.7592039199450434, min values: -2.3922473154067863, max values: 5.0, median values: 0.3424218920933184, and quantile values: 0.25 -0.211161\n0.50 0.342422\n0.75 0.787272\nName: 401, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5045690942358491, std values: 1.57150297802785, min values: -2.788272971802125, max values: 6.0, median values: 0.2663362933490852, and quantile values: 0.25 -0.488241\n0.50 0.266336\n0.75 1.334523\nName: 402, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11051029699880231, std values: 0.9459524981520699, min values: -2.7688682710567485, max values: 3.0097288687560817, median values: -0.1295476486169276, and quantile values: 0.25 -0.704330\n0.50 -0.129548\n0.75 0.466575\nName: 403, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28581755106441425, std values: 0.9466251262670953, min values: -2.537573835824454, max values: 6.0, median values: 0.3017940997262849, and quantile values: 0.25 -0.415804\n0.50 0.301794\n0.75 1.030468\nName: 404, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3035993964685132, std values: 0.8632608628245946, min values: -2.7428415536925543, max values: 5.0, median values: -0.314235067351532, and quantile values: 0.25 -0.963253\n0.50 -0.314235\n0.75 0.204519\nName: 405, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6099623453549655, std values: 1.3317593032543686, min values: -2.240740315114864, max values: 4.0, median values: 0.4830354945300821, and quantile values: 0.25 -0.434992\n0.50 0.483035\n0.75 1.733369\nName: 406, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11832602652717004, std values: 1.1792287256199325, min values: -2.8531572940820533, max values: 4.278004674434932, median values: -0.1159501905979842, and quantile values: 0.25 -0.788226\n0.50 -0.115950\n0.75 0.597363\nName: 407, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04640990543473761, std values: 0.9475648117131185, min values: -1.9701398710040925, max values: 5.0, median values: -0.1528859139639213, and quantile values: 0.25 -0.785373\n0.50 -0.152886\n0.75 0.562188\nName: 408, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32119615649691613, std values: 0.9642185767651446, min values: -2.465314621659407, max values: 5.0, median values: -0.4075972716329288, and quantile values: 0.25 -1.092477\n0.50 -0.407597\n0.75 0.348895\nName: 409, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1467483492125785, std values: 1.158021483527084, min values: -2.769191083399913, max values: 3.867701659180865, median values: 0.0618199483892546, and quantile values: 0.25 -0.789541\n0.50 0.061820\n0.75 0.652252\nName: 410, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41299287716446825, std values: 1.0974620564161603, min values: -1.9835297812056525, max values: 3.3760121766849016, median values: 0.3639806656448428, and quantile values: 0.25 -0.452984\n0.50 0.363981\n0.75 1.350234\nName: 411, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10056192349494153, std values: 0.8630561583900339, min values: -2.673549169958716, max values: 6.0, median values: -0.0972567236737745, and quantile values: 0.25 -0.659096\n0.50 -0.097257\n0.75 0.440508\nName: 412, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.025160569153831774, std values: 0.8534837414628607, min values: -2.5046447434119337, max values: 4.0, median values: -0.0490947709020856, and quantile values: 0.25 -0.557523\n0.50 -0.049095\n0.75 0.588517\nName: 413, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07381155136555961, std values: 0.7920022738139306, min values: -2.5759052915632985, max values: 3.5021977227593246, median values: 0.1601901760316563, and quantile values: 0.25 -0.509177\n0.50 0.160190\n0.75 0.632955\nName: 414, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3857271901103219, std values: 1.3084669077560407, min values: -2.9029979285382743, max values: 3.438667023696733, median values: 0.6750684509945707, and quantile values: 0.25 -0.168576\n0.50 0.675068\n0.75 1.301077\nName: 415, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.590994588715595, std values: 0.9367415784404368, min values: -2.167861924624162, max values: 4.0, median values: 0.6931739475950306, and quantile values: 0.25 -0.108054\n0.50 0.693174\n0.75 1.298961\nName: 416, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0018188777831254, std values: 1.3297859249600381, min values: -2.727901130262228, max values: 4.0, median values: -1.6839318674260728, and quantile values: 0.25 -2.140406\n0.50 -1.683932\n0.75 0.189974\nName: 417, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2003574853443432, std values: 1.0049901415687608, min values: -2.222049826555007, max values: 3.1047159712539405, median values: -0.2104847062509514, and quantile values: 0.25 -1.011825\n0.50 -0.210485\n0.75 0.524495\nName: 418, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4018599110656546, std values: 0.7268282916670651, min values: -1.975101644127221, max values: 2.971200445600723, median values: 0.4308783851135678, and quantile values: 0.25 -0.050363\n0.50 0.430878\n0.75 0.887320\nName: 419, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0497238396682606, std values: 0.8138139218236138, min values: -2.842043939794492, max values: 3.2936960268109283, median values: -0.1188773431425628, and quantile values: 0.25 -0.632485\n0.50 -0.118877\n0.75 0.462985\nName: 420, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12223559584227577, std values: 0.8856306575017706, min values: -2.486556664247513, max values: 3.047545592545638, median values: 0.1977186253849893, and quantile values: 0.25 -0.384132\n0.50 0.197719\n0.75 0.704269\nName: 421, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45190074695735033, std values: 1.081714486732889, min values: -2.083073092108871, max values: 4.0, median values: 0.4645490170147903, and quantile values: 0.25 -0.396272\n0.50 0.464549\n0.75 1.356731\nName: 422, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21507762800525038, std values: 0.8890598823752442, min values: -2.93129584560762, max values: 6.0, median values: -0.2688804932014688, and quantile values: 0.25 -0.766371\n0.50 -0.268880\n0.75 0.339942\nName: 423, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49266348977745283, std values: 1.2403698489342414, min values: -3.124705982383478, max values: 3.397048482165858, median values: -0.5591735289291178, and quantile values: 0.25 -1.515946\n0.50 -0.559174\n0.75 0.235867\nName: 424, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07304463602185031, std values: 0.7986336926525032, min values: -2.094811568530773, max values: 3.1175233493066874, median values: 0.0115116871063741, and quantile values: 0.25 -0.480190\n0.50 0.011512\n0.75 0.612295\nName: 425, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3030023155289432, std values: 0.9375787172841555, min values: -2.43075913323152, max values: 3.9905524164385566, median values: -0.3844881951051426, and quantile values: 0.25 -0.968698\n0.50 -0.384488\n0.75 0.219108\nName: 426, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21318195676979654, std values: 0.9637864809670221, min values: -2.4657737907743, max values: 3.215720519334646, median values: 0.1443869852832517, and quantile values: 0.25 -0.551177\n0.50 0.144387\n0.75 0.921184\nName: 427, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.054833772246310385, std values: 0.8528922249904133, min values: -2.5695487141177, max values: 4.0, median values: -0.0572977405978153, and quantile values: 0.25 -0.531650\n0.50 -0.057298\n0.75 0.478154\nName: 428, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0716344702122391, std values: 0.8704408835967853, min values: -2.0843248697539374, max values: 5.0, median values: 0.0223364639237374, and quantile values: 0.25 -0.553410\n0.50 0.022336\n0.75 0.664909\nName: 429, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3120751845486757, std values: 0.8496862200391966, min values: -2.580492024304656, max values: 4.0, median values: -0.4486246025391154, and quantile values: 0.25 -0.928904\n0.50 -0.448625\n0.75 0.197438\nName: 430, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01481590012334668, std values: 0.886564240461832, min values: -2.642042398333877, max values: 3.0097288687560817, median values: 0.0688475547777869, and quantile values: 0.25 -0.560445\n0.50 0.068848\n0.75 0.560224\nName: 431, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3505091139436487, std values: 1.071787607408185, min values: -2.6685266729136536, max values: 6.0, median values: -0.472702626936296, and quantile values: 0.25 -1.237777\n0.50 -0.472703\n0.75 0.358909\nName: 432, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3178409350372342, std values: 1.3990538353063522, min values: -2.928515832252388, max values: 5.0, median values: -0.0163085309776009, and quantile values: 0.25 -1.782652\n0.50 -0.016309\n0.75 0.801041\nName: 433, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42366695858786585, std values: 0.9109544069226654, min values: -2.4788285026914285, max values: 4.0, median values: 0.4876614491294186, and quantile values: 0.25 -0.223539\n0.50 0.487661\n0.75 1.123256\nName: 434, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.013799902145794692, std values: 1.1445841437306523, min values: -2.6320986139293034, max values: 3.090297571450676, median values: 0.0446560639496623, and quantile values: 0.25 -0.757556\n0.50 0.044656\n0.75 0.888505\nName: 435, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6275375142950713, std values: 0.823477070852413, min values: -2.100754849305273, max values: 3.528773265847577, median values: 0.5784003857768317, and quantile values: 0.25 0.091309\n0.50 0.578400\n0.75 1.174295\nName: 436, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3016837384938655, std values: 0.925166421487307, min values: -2.6072570508709387, max values: 4.0, median values: -0.2813183056436171, and quantile values: 0.25 -0.877966\n0.50 -0.281318\n0.75 0.254817\nName: 437, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1515087045426801, std values: 0.9405961102766405, min values: -2.3563105100307125, max values: 2.9015285354187115, median values: -0.2206601473149469, and quantile values: 0.25 -0.896790\n0.50 -0.220660\n0.75 0.476035\nName: 438, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14605869062694557, std values: 0.794116073828701, min values: -2.024977263287256, max values: 6.0, median values: 0.2068253476276334, and quantile values: 0.25 -0.389889\n0.50 0.206825\n0.75 0.695943\nName: 439, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3621269556168877, std values: 1.0407830363977761, min values: -2.2477784840641744, max values: 4.0, median values: 0.2700760644696569, and quantile values: 0.25 -0.381290\n0.50 0.270076\n0.75 1.137660\nName: 440, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02153063884403302, std values: 0.8169998338316647, min values: -2.1178374075792616, max values: 3.5427287984042666, median values: 0.0263555233123192, and quantile values: 0.25 -0.575923\n0.50 0.026356\n0.75 0.601804\nName: 441, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7025548845042131, std values: 1.1121769457489132, min values: -2.537573835824454, max values: 6.0, median values: 0.7651987579234034, and quantile values: 0.25 -0.130739\n0.50 0.765199\n0.75 1.592990\nName: 442, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0614452662695576, std values: 0.949318364361043, min values: -2.8164291268114208, max values: 4.0, median values: -0.1136186998813635, and quantile values: 0.25 -0.640577\n0.50 -0.113619\n0.75 0.582535\nName: 443, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5012603392238083, std values: 0.8709016006337204, min values: -2.745904427753044, max values: 5.0, median values: 0.5911312537410961, and quantile values: 0.25 -0.113357\n0.50 0.591131\n0.75 1.156267\nName: 444, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35206833958240547, std values: 0.9340672712725779, min values: -2.196708653609315, max values: 6.0, median values: 0.4214018194886539, and quantile values: 0.25 -0.323386\n0.50 0.421402\n0.75 1.020538\nName: 445, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08410559979305807, std values: 0.7834166221632509, min values: -2.560041333834972, max values: 3.163266084685921, median values: -0.1735665673501318, and quantile values: 0.25 -0.632167\n0.50 -0.173567\n0.75 0.384994\nName: 446, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13042114966895044, std values: 0.9358757692994764, min values: -2.6603025395856053, max values: 5.0, median values: -0.0334114020124579, and quantile values: 0.25 -0.702453\n0.50 -0.033411\n0.75 0.497855\nName: 447, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.504698599633373, std values: 0.9374700782989667, min values: -2.0518364579544754, max values: 3.5021977227593246, median values: 0.5169952981324846, and quantile values: 0.25 -0.124330\n0.50 0.516995\n0.75 1.117071\nName: 448, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20505786610916682, std values: 0.8721938693466256, min values: -2.5774281843044924, max values: 4.0, median values: -0.2650842274602409, and quantile values: 0.25 -0.827383\n0.50 -0.265084\n0.75 0.371846\nName: 449, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.004187314693665078, std values: 0.8064854350308418, min values: -2.8451834694312192, max values: 3.0876051304901218, median values: -0.066603975358604, and quantile values: 0.25 -0.565152\n0.50 -0.066604\n0.75 0.509096\nName: 450, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.5662598281555846, std values: 0.8547800736599392, min values: -2.727901130262228, max values: 4.0, median values: -1.8340755490776743, and quantile values: 0.25 -2.142044\n0.50 -1.834076\n0.75 -1.131475\nName: 451, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5834462995326923, std values: 0.8814819169571835, min values: -2.446475285346346, max values: 3.2266531185902125, median values: -0.6730513958332983, and quantile values: 0.25 -1.310942\n0.50 -0.673051\n0.75 0.012779\nName: 452, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10165215717585005, std values: 0.8789985876856362, min values: -2.6270253558526173, max values: 4.0, median values: -0.0632881575471994, and quantile values: 0.25 -0.561195\n0.50 -0.063288\n0.75 0.466483\nName: 453, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3874945758824223, std values: 0.7732129936142658, min values: -2.8246479422601736, max values: 5.0, median values: -0.4342652941902118, and quantile values: 0.25 -0.954719\n0.50 -0.434265\n0.75 0.107971\nName: 454, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18347273627865132, std values: 1.0046527230600424, min values: -2.5213149333948146, max values: 3.224152805256112, median values: -0.2436616737529955, and quantile values: 0.25 -0.985979\n0.50 -0.243662\n0.75 0.525033\nName: 455, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5856638696214463, std values: 1.0208862032430894, min values: -2.5340007661497093, max values: 3.379902545505621, median values: -0.71968250399862, and quantile values: 0.25 -1.464306\n0.50 -0.719683\n0.75 0.089070\nName: 456, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24649294960578902, std values: 0.7587092291568721, min values: -1.9523498802713093, max values: 5.0, median values: 0.2379086442853509, and quantile values: 0.25 -0.232223\n0.50 0.237909\n0.75 0.731827\nName: 457, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12731257221649292, std values: 1.3538696943820658, min values: -2.9029979285382743, max values: 3.060952636712705, median values: 0.3278811348995369, and quantile values: 0.25 -0.678506\n0.50 0.327881\n0.75 1.148988\nName: 458, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29456531198436586, std values: 0.8262318788720016, min values: -2.778044916685896, max values: 3.0, median values: -0.3814377038831696, and quantile values: 0.25 -0.937268\n0.50 -0.381438\n0.75 0.236693\nName: 459, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5087928539508347, std values: 0.844250203272587, min values: -2.6023368942328267, max values: 3.709787027503053, median values: 0.5129474477431206, and quantile values: 0.25 -0.021840\n0.50 0.512947\n0.75 1.028046\nName: 460, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29973610888577973, std values: 0.9209501441677279, min values: -3.0148736195915964, max values: 3.0, median values: -0.2801438128914705, and quantile values: 0.25 -0.840598\n0.50 -0.280144\n0.75 0.250839\nName: 461, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26019393224319637, std values: 0.968646824711103, min values: -2.100754849305273, max values: 4.026668017837955, median values: 0.2292183808812431, and quantile values: 0.25 -0.389001\n0.50 0.229218\n0.75 0.906149\nName: 462, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.058029460899382365, std values: 0.7843124024664083, min values: -2.2915911556076085, max values: 3.670892362631932, median values: 0.0792110766427632, and quantile values: 0.25 -0.471223\n0.50 0.079211\n0.75 0.555916\nName: 463, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24879541662203783, std values: 0.8880929549270188, min values: -2.5774281843044924, max values: 6.0, median values: -0.3642265272484399, and quantile values: 0.25 -0.873080\n0.50 -0.364227\n0.75 0.306795\nName: 464, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31342079481425783, std values: 1.0023106369376098, min values: -2.8164291268114208, max values: 2.944950884974357, median values: -0.3141109164286745, and quantile values: 0.25 -1.060997\n0.50 -0.314111\n0.75 0.384285\nName: 465, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15437436446824868, std values: 0.8196689273607163, min values: -2.6652153608723106, max values: 3.0, median values: -0.2379917444396102, and quantile values: 0.25 -0.720361\n0.50 -0.237992\n0.75 0.357995\nName: 466, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.766432484480047, std values: 1.1157893967824157, min values: -3.0960472541202715, max values: 6.0, median values: 0.9467413391291094, and quantile values: 0.25 -0.029642\n0.50 0.946741\n0.75 1.643683\nName: 467, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2729277674590828, std values: 1.0310791646600197, min values: -2.6270253558526173, max values: 4.243835016543704, median values: -0.2220994942565687, and quantile values: 0.25 -1.012614\n0.50 -0.222099\n0.75 0.444843\nName: 468, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2430506647285626, std values: 1.153044937259868, min values: -2.610097161345549, max values: 4.0, median values: -0.250078144616566, and quantile values: 0.25 -1.115077\n0.50 -0.250078\n0.75 0.589270\nName: 469, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25897160854933304, std values: 0.8646330742620685, min values: -2.2915911556076085, max values: 3.8226908388056136, median values: 0.2045320715744034, and quantile values: 0.25 -0.332825\n0.50 0.204532\n0.75 0.806722\nName: 470, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43248514739610744, std values: 0.8978687996640778, min values: -2.6652153608723106, max values: 3.5581019918925243, median values: -0.5752406664109122, and quantile values: 0.25 -1.148084\n0.50 -0.575241\n0.75 0.170632\nName: 471, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21454124110433045, std values: 0.8465424635936203, min values: -3.3690402064071137, max values: 2.853157294082051, median values: 0.30706702146668, and quantile values: 0.25 -0.365825\n0.50 0.307067\n0.75 0.829911\nName: 472, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18781335197969098, std values: 0.8715447434843087, min values: -2.623568901859613, max values: 4.0, median values: -0.1585640772280788, and quantile values: 0.25 -0.774098\n0.50 -0.158564\n0.75 0.378921\nName: 473, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15491308646908133, std values: 0.9501671903114137, min values: -2.5953860446419177, max values: 5.0, median values: -0.1363194301063056, and quantile values: 0.25 -0.700863\n0.50 -0.136319\n0.75 0.442086\nName: 474, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49008166976835194, std values: 1.0968411525977109, min values: -2.9265160609644223, max values: 6.0, median values: -0.5437370771786132, and quantile values: 0.25 -1.294543\n0.50 -0.543737\n0.75 0.304541\nName: 475, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15423070424348462, std values: 0.9376939964071542, min values: -2.4737574649270093, max values: 3.1106274661862763, median values: -0.2638261738545877, and quantile values: 0.25 -0.897029\n0.50 -0.263826\n0.75 0.451951\nName: 476, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23111013426059046, std values: 0.8396437445342753, min values: -2.9029979285382743, max values: 6.0, median values: -0.2191797581172405, and quantile values: 0.25 -0.760094\n0.50 -0.219180\n0.75 0.292901\nName: 477, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.002333170823557752, std values: 0.9689587392102047, min values: -3.0148736195915964, max values: 3.528773265847577, median values: -0.0933560025458279, and quantile values: 0.25 -0.649435\n0.50 -0.093356\n0.75 0.649835\nName: 478, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2706978269161382, std values: 0.8293633983993473, min values: -2.5953860446419177, max values: 3.0, median values: -0.1979994621930378, and quantile values: 0.25 -0.813712\n0.50 -0.197999\n0.75 0.280047\nName: 479, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14532611228347542, std values: 0.8875991255873215, min values: -2.0604662602729085, max values: 3.250922035035844, median values: 0.0475231971296912, and quantile values: 0.25 -0.502891\n0.50 0.047523\n0.75 0.777099\nName: 480, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1312887044302043, std values: 0.7661270342098587, min values: -2.1548749249906303, max values: 5.0, median values: -0.1591385073219419, and quantile values: 0.25 -0.636795\n0.50 -0.159139\n0.75 0.318782\nName: 481, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1283092609804858, std values: 1.0006252207049402, min values: -2.497627580948261, max values: 3.0, median values: -0.1533038731475874, and quantile values: 0.25 -0.874048\n0.50 -0.153304\n0.75 0.627211\nName: 482, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12888837449240254, std values: 1.416004294013616, min values: -2.8563982925340614, max values: 4.0, median values: -0.2417046721909168, and quantile values: 0.25 -1.336945\n0.50 -0.241705\n0.75 0.996098\nName: 483, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2029770825709048, std values: 0.8776043933448293, min values: -2.8327898928872086, max values: 4.0, median values: 0.2918897390158178, and quantile values: 0.25 -0.290829\n0.50 0.291890\n0.75 0.823820\nName: 484, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02108017334511937, std values: 0.8094596921602382, min values: -1.9958895544113944, max values: 4.0, median values: -0.1106580696750763, and quantile values: 0.25 -0.555061\n0.50 -0.110658\n0.75 0.483301\nName: 485, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1759255820657296, std values: 0.7853742302142452, min values: -2.564449278715455, max values: 3.155170554159904, median values: -0.2677534575548995, and quantile values: 0.25 -0.738547\n0.50 -0.267753\n0.75 0.346359\nName: 486, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09871050328200123, std values: 0.8966157367095977, min values: -2.6685266729136536, max values: 6.0, median values: -0.1536117682452714, and quantile values: 0.25 -0.832201\n0.50 -0.153612\n0.75 0.567654\nName: 487, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21174476990798735, std values: 1.292866166518044, min values: -2.769191083399913, max values: 3.047545592545638, median values: 0.4082629436205399, and quantile values: 0.25 -0.422228\n0.50 0.408263\n0.75 1.118563\nName: 488, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02154713415177782, std values: 0.7396773442707449, min values: -2.7884838087481176, max values: 6.0, median values: -0.034418632922812, and quantile values: 0.25 -0.488194\n0.50 -0.034419\n0.75 0.419801\nName: 489, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07846411697919131, std values: 0.8048091545459753, min values: -2.3771558481240653, max values: 4.0, median values: 0.0179290533069782, and quantile values: 0.25 -0.470232\n0.50 0.017929\n0.75 0.601699\nName: 490, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45420970242790637, std values: 1.2913496810830374, min values: -3.2266531185902174, max values: 3.8226908388056136, median values: 0.2477427177998823, and quantile values: 0.25 -0.329269\n0.50 0.247743\n0.75 1.293284\nName: 491, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3063559712410591, std values: 1.0953522621454241, min values: -2.815821936576896, max values: 3.163266084685921, median values: -0.1513536248601668, and quantile values: 0.25 -1.059091\n0.50 -0.151354\n0.75 0.506730\nName: 492, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.018229857266709126, std values: 0.85322892034167, min values: -2.5399045531878324, max values: 4.0, median values: 0.1058657616775726, and quantile values: 0.25 -0.492465\n0.50 0.105866\n0.75 0.541318\nName: 493, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38714108830402894, std values: 1.1561106884034784, min values: -3.074005993202373, max values: 3.438667023696733, median values: -0.3957095669736224, and quantile values: 0.25 -1.387879\n0.50 -0.395710\n0.75 0.482398\nName: 494, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18558785578964368, std values: 0.9225271296809531, min values: -3.28024538647024, max values: 2.967906073290372, median values: -0.2403154797885097, and quantile values: 0.25 -0.892353\n0.50 -0.240315\n0.75 0.451642\nName: 495, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15401833646077237, std values: 1.0039355512584944, min values: -2.4737574649270093, max values: 3.017846660960028, median values: 0.1139517318774668, and quantile values: 0.25 -0.624767\n0.50 0.113952\n0.75 0.927231\nName: 496, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21298949935216233, std values: 0.7644441161529414, min values: -2.045960343889241, max values: 6.0, median values: 0.2241453401501675, and quantile values: 0.25 -0.265652\n0.50 0.224145\n0.75 0.698225\nName: 497, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07981426688450634, std values: 0.72700326176775, min values: -2.1378444413215925, max values: 3.438667023696733, median values: 0.0662249883722088, and quantile values: 0.25 -0.384870\n0.50 0.066225\n0.75 0.538514\nName: 498, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26616308480408085, std values: 1.1111171031732232, min values: -2.5961021427111413, max values: 3.197902420311553, median values: -0.2025231011300693, and quantile values: 0.25 -0.936425\n0.50 -0.202523\n0.75 0.376289\nName: 499, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.024685156414762627, std values: 0.811337473486782, min values: -2.0441770656208704, max values: 3.867701659180865, median values: 0.0179631893961004, and quantile values: 0.25 -0.521864\n0.50 0.017963\n0.75 0.540097\nName: 500, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0722969154709255, std values: 1.0456312751835686, min values: -2.271143658239337, max values: 6.0, median values: -0.2340203660257072, and quantile values: 0.25 -0.863765\n0.50 -0.234020\n0.75 0.600728\nName: 501, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7376271128593932, std values: 0.8421110210752927, min values: -2.476285024008804, max values: 3.477886732511886, median values: 0.8013664454087671, and quantile values: 0.25 0.178414\n0.50 0.801366\n0.75 1.298897\nName: 502, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25529891388218556, std values: 1.01941384901799, min values: -2.4502625580775623, max values: 5.0, median values: 0.0844518257650061, and quantile values: 0.25 -0.462770\n0.50 0.084452\n0.75 0.878901\nName: 503, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09139205263934749, std values: 1.083003021832324, min values: -2.9029979285382743, max values: 3.518664430018096, median values: 0.1304533810712628, and quantile values: 0.25 -0.455457\n0.50 0.130453\n0.75 0.760898\nName: 504, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7047135319119296, std values: 0.8308942138084882, min values: -1.8069142283625608, max values: 6.0, median values: 0.7675446844103656, and quantile values: 0.25 0.179832\n0.50 0.767545\n0.75 1.242769\nName: 505, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15063256748633116, std values: 0.9685228397657595, min values: -2.8563982925340614, max values: 5.0, median values: 0.2912485588188677, and quantile values: 0.25 -0.427617\n0.50 0.291249\n0.75 0.819420\nName: 506, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3263335310182797, std values: 0.9081791906498062, min values: -2.769191083399913, max values: 3.455472209455805, median values: -0.2379572704097058, and quantile values: 0.25 -0.859135\n0.50 -0.237957\n0.75 0.243860\nName: 507, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8049031677067812, std values: 1.114557241725859, min values: -2.486556664247513, max values: 3.709787027503053, median values: 0.949735444000532, and quantile values: 0.25 0.101989\n0.50 0.949735\n0.75 1.669664\nName: 508, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17698599809356186, std values: 0.8392119665748301, min values: -2.1232100101643527, max values: 3.0, median values: -0.1818965882364152, and quantile values: 0.25 -0.805095\n0.50 -0.181897\n0.75 0.450120\nName: 509, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15272186923057487, std values: 0.9640227323456861, min values: -2.476285024008804, max values: 3.224152805256112, median values: -0.2694931557609977, and quantile values: 0.25 -0.910541\n0.50 -0.269493\n0.75 0.417479\nName: 510, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3885596315119744, std values: 0.755966829160385, min values: -2.072580019544124, max values: 3.760287110694155, median values: -0.4738922305839984, and quantile values: 0.25 -0.909325\n0.50 -0.473892\n0.75 0.074044\nName: 511, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1937296118553712, std values: 0.8350287306942953, min values: -2.10781213968935, max values: 6.0, median values: 0.1134293423624669, and quantile values: 0.25 -0.400881\n0.50 0.113429\n0.75 0.765435\nName: 512, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5344999329823169, std values: 1.007323642888515, min values: -2.6072570508709387, max values: 4.0, median values: 0.6479655207389544, and quantile values: 0.25 -0.057479\n0.50 0.647966\n0.75 1.289587\nName: 513, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22928506398883178, std values: 1.0274063646503062, min values: -3.236860296211546, max values: 3.176672644814091, median values: 0.3936391046728022, and quantile values: 0.25 -0.310754\n0.50 0.393639\n0.75 0.928406\nName: 514, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12104957102456838, std values: 0.78513991032069, min values: -2.537573835824454, max values: 6.0, median values: -0.1144275138059188, and quantile values: 0.25 -0.643261\n0.50 -0.114428\n0.75 0.380140\nName: 515, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22614127202339013, std values: 0.939871661830043, min values: -2.641174291463747, max values: 6.0, median values: -0.2729504746711463, and quantile values: 0.25 -0.863945\n0.50 -0.272950\n0.75 0.419634\nName: 516, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3335391190177522, std values: 1.1322409068774821, min values: -2.558791007225312, max values: 4.243835016543704, median values: -0.3921516509563612, and quantile values: 0.25 -1.234879\n0.50 -0.392152\n0.75 0.359405\nName: 517, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3296705937711624, std values: 0.8667472130903268, min values: -2.027551721113156, max values: 6.0, median values: 0.4122172697713917, and quantile values: 0.25 -0.280172\n0.50 0.412217\n0.75 0.962027\nName: 518, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09422195835987165, std values: 1.0103351585535991, min values: -2.5293911731823453, max values: 3.02009942896863, median values: 0.215501453492037, and quantile values: 0.25 -0.513436\n0.50 0.215501\n0.75 0.818881\nName: 519, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5166337197914643, std values: 0.7661468288972291, min values: -2.439930808627264, max values: 4.0, median values: 0.5649055747814377, and quantile values: 0.25 0.024890\n0.50 0.564906\n0.75 1.033094\nName: 520, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07987565686378963, std values: 0.8870263048908538, min values: -2.622408470084112, max values: 3.397048482165858, median values: -0.1225912982691386, and quantile values: 0.25 -0.602921\n0.50 -0.122591\n0.75 0.470537\nName: 521, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01844726873334614, std values: 0.8582509197035048, min values: -2.4266977057946773, max values: 5.0, median values: 0.0263306254798727, and quantile values: 0.25 -0.583044\n0.50 0.026331\n0.75 0.590778\nName: 522, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44938027780992446, std values: 0.8765688184175058, min values: -2.6652153608723106, max values: 3.379902545505621, median values: -0.5841671083807544, and quantile values: 0.25 -0.993474\n0.50 -0.584167\n0.75 -0.007138\nName: 523, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45711658110748155, std values: 0.9315840949024083, min values: -2.1453227721253567, max values: 3.455472209455805, median values: 0.4983806441944713, and quantile values: 0.25 -0.244967\n0.50 0.498381\n0.75 1.224894\nName: 524, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26244689248668107, std values: 0.9639148519777911, min values: -2.842043939794492, max values: 3.627976272701048, median values: -0.2854832872630232, and quantile values: 0.25 -0.924388\n0.50 -0.285483\n0.75 0.388869\nName: 525, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07963506483281664, std values: 0.9532502957608995, min values: -2.579723791499676, max values: 4.0, median values: -0.0531759243180092, and quantile values: 0.25 -0.640848\n0.50 -0.053176\n0.75 0.764376\nName: 526, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43373771372219955, std values: 1.0690545588412876, min values: -2.6466193392086392, max values: 4.0, median values: -0.4146469792401182, and quantile values: 0.25 -1.160253\n0.50 -0.414647\n0.75 0.225309\nName: 527, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03282672833401517, std values: 0.8015307380622391, min values: -2.3922473154067863, max values: 5.0, median values: 0.0028125097393468, and quantile values: 0.25 -0.556880\n0.50 0.002813\n0.75 0.462105\nName: 528, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1015848027987948, std values: 0.9221071360830699, min values: -2.572123985342288, max values: 5.0, median values: 0.2040412704781924, and quantile values: 0.25 -0.532047\n0.50 0.204041\n0.75 0.784536\nName: 529, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3826947166215654, std values: 0.826235635818349, min values: -2.5832619696830608, max values: 3.0, median values: -0.5096061697550465, and quantile values: 0.25 -0.994557\n0.50 -0.509606\n0.75 0.127284\nName: 530, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06421095619203852, std values: 1.4010212089234915, min values: -3.1386665508340674, max values: 3.709787027503053, median values: 0.3128355234988582, and quantile values: 0.25 -1.660500\n0.50 0.312836\n0.75 1.026844\nName: 531, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.002542612667211024, std values: 0.9056603784745768, min values: -2.049996677874803, max values: 4.0, median values: -0.1182585113913374, and quantile values: 0.25 -0.681664\n0.50 -0.118259\n0.75 0.601964\nName: 532, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41988076618236825, std values: 0.941104848408886, min values: -3.3364384128287203, max values: 2.8978405238649017, median values: -0.5230106808991735, and quantile values: 0.25 -1.104141\n0.50 -0.523011\n0.75 0.235915\nName: 533, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6508002111121959, std values: 0.9146243582324252, min values: -2.7257183488872623, max values: 5.0, median values: -0.7813311078884219, and quantile values: 0.25 -1.332338\n0.50 -0.781331\n0.75 -0.053534\nName: 534, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12284781273108708, std values: 0.8058290646642661, min values: -2.0588700902073955, max values: 3.0089865423056903, median values: -0.2262543492126344, and quantile values: 0.25 -0.666421\n0.50 -0.226254\n0.75 0.369588\nName: 535, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.61973435219477, std values: 0.805366547573947, min values: -2.507084845405409, max values: 3.2328207660681025, median values: -0.6760186041140117, and quantile values: 0.25 -1.163235\n0.50 -0.676019\n0.75 -0.162701\nName: 536, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23766994427929095, std values: 0.7673476925495987, min values: -2.005260744944291, max values: 5.0, median values: 0.213667424481558, and quantile values: 0.25 -0.247255\n0.50 0.213667\n0.75 0.730098\nName: 537, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31242479488271274, std values: 0.7864657351108514, min values: -2.264034258932616, max values: 3.721862465295849, median values: -0.3774423906073169, and quantile values: 0.25 -0.872144\n0.50 -0.377442\n0.75 0.150991\nName: 538, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.006902679010940131, std values: 0.9028308727625627, min values: -2.5293911731823453, max values: 3.627976272701048, median values: 0.0469442260584486, and quantile values: 0.25 -0.532564\n0.50 0.046944\n0.75 0.560058\nName: 539, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.061172586159323535, std values: 1.2976164004701565, min values: -2.944950884974346, max values: 3.5427287984042666, median values: 0.0796728251924845, and quantile values: 0.25 -0.773359\n0.50 0.079673\n0.75 0.879984\nName: 540, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.562708151416758, std values: 1.0509204594877772, min values: -2.521882829270847, max values: 4.0, median values: 0.6658026598233988, and quantile values: 0.25 -0.136995\n0.50 0.665803\n0.75 1.364665\nName: 541, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4790023033568539, std values: 0.7646873595882069, min values: -2.6652153608723106, max values: 3.0, median values: 0.5805529387564213, and quantile values: 0.25 -0.003415\n0.50 0.580553\n0.75 1.008361\nName: 542, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11898937801968863, std values: 0.7982336203360337, min values: -1.867213307420371, max values: 2.9666813816765742, median values: 0.0437850885618538, and quantile values: 0.25 -0.393512\n0.50 0.043785\n0.75 0.645182\nName: 543, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 1.0150200981785362, std values: 1.0204804861340997, min values: -2.6652153608723106, max values: 3.2328207660681025, median values: 1.118820145694939, and quantile values: 0.25 0.304788\n0.50 1.118820\n0.75 1.844207\nName: 544, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.446909696853296, std values: 1.2413744560253483, min values: -2.837386543755612, max values: 4.0, median values: -0.5546472777875644, and quantile values: 0.25 -1.221008\n0.50 -0.554647\n0.75 0.233729\nName: 545, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.019091134466332958, std values: 1.140034246309356, min values: -2.9622221028070275, max values: 4.0, median values: 0.2366604273068949, and quantile values: 0.25 -0.544414\n0.50 0.236660\n0.75 0.749175\nName: 546, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2566640444990572, std values: 1.1626685544622497, min values: -2.842989614395848, max values: 5.0, median values: 0.5041261821752134, and quantile values: 0.25 -0.365446\n0.50 0.504126\n0.75 1.072352\nName: 547, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3820423051955991, std values: 0.7789079603062964, min values: -2.5631960397140583, max values: 4.0, median values: -0.4623415727922881, and quantile values: 0.25 -0.929450\n0.50 -0.462342\n0.75 0.084039\nName: 548, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01189968186833644, std values: 1.1069432550104827, min values: -2.608390851963037, max values: 5.0, median values: 0.0460895831799977, and quantile values: 0.25 -0.910219\n0.50 0.046090\n0.75 0.867589\nName: 549, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.579924168215746, std values: 0.9649878251730956, min values: -2.799990485600992, max values: 5.0, median values: 0.6630210490869013, and quantile values: 0.25 -0.054527\n0.50 0.663021\n0.75 1.292077\nName: 550, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2548486671794776, std values: 0.7830553972794659, min values: -1.8704952672475688, max values: 3.438667023696733, median values: 0.2135265507033596, and quantile values: 0.25 -0.252034\n0.50 0.213527\n0.75 0.750866\nName: 551, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10656317814115474, std values: 1.0556986443970087, min values: -2.521882829270847, max values: 4.0, median values: -0.094892949563914, and quantile values: 0.25 -0.722836\n0.50 -0.094893\n0.75 0.570633\nName: 552, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.028187296282518457, std values: 0.9741010892698574, min values: -2.536941606705235, max values: 4.0, median values: -0.0301385552105207, and quantile values: 0.25 -0.734610\n0.50 -0.030139\n0.75 0.736808\nName: 553, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02457389031031897, std values: 1.0932468800486277, min values: -2.688157591415518, max values: 4.0, median values: 0.1154806439441698, and quantile values: 0.25 -0.727339\n0.50 0.115481\n0.75 0.885672\nName: 554, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24314119479296975, std values: 0.8665834826604294, min values: -2.8663054413554843, max values: 6.0, median values: -0.311996941509734, and quantile values: 0.25 -0.805675\n0.50 -0.311997\n0.75 0.267449\nName: 555, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16824651340215913, std values: 0.880219989463076, min values: -2.6652153608723106, max values: 5.0, median values: -0.1063901911032863, and quantile values: 0.25 -0.764186\n0.50 -0.106390\n0.75 0.421499\nName: 556, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4840939334215374, std values: 1.0600805118662981, min values: -2.8327898928872086, max values: 4.0, median values: -0.5611089537986921, and quantile values: 0.25 -1.270816\n0.50 -0.561109\n0.75 0.239153\nName: 557, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2581034804509748, std values: 0.8567940617324011, min values: -2.467258791926619, max values: 2.4579442556279427, median values: -0.4046713085196414, and quantile values: 0.25 -0.926078\n0.50 -0.404671\n0.75 0.301461\nName: 558, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.377418082913021, std values: 0.9414503701450633, min values: -2.620939317041317, max values: 4.0, median values: -0.383956394748107, and quantile values: 0.25 -0.978513\n0.50 -0.383956\n0.75 0.207984\nName: 559, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1829233636648288, std values: 0.815739319984569, min values: -1.9664909660582977, max values: 3.0046625681201315, median values: -0.2508878133165113, and quantile values: 0.25 -0.738760\n0.50 -0.250888\n0.75 0.291504\nName: 560, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22356587758250035, std values: 1.076588403161952, min values: -2.842989614395848, max values: 5.0, median values: 0.2307453567746119, and quantile values: 0.25 -0.585175\n0.50 0.230745\n0.75 1.064744\nName: 561, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5210081854400788, std values: 0.9195050578374304, min values: -2.007321445101768, max values: 3.434669824302974, median values: 0.4976636112397596, and quantile values: 0.25 -0.082242\n0.50 0.497664\n0.75 1.147073\nName: 562, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21459346145989214, std values: 0.8389812959338813, min values: -2.6117120822772133, max values: 5.0, median values: -0.1967919744213861, and quantile values: 0.25 -0.831614\n0.50 -0.196792\n0.75 0.328346\nName: 563, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20539804134675432, std values: 0.8168458910745992, min values: -2.9898739724800576, max values: 3.528773265847577, median values: -0.3095207164647413, and quantile values: 0.25 -0.783126\n0.50 -0.309521\n0.75 0.308009\nName: 564, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5687336742337621, std values: 0.9570051877994517, min values: -2.869671295224012, max values: 6.0, median values: -0.6633298633395458, and quantile values: 0.25 -1.321440\n0.50 -0.663330\n0.75 0.067633\nName: 565, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07884131569894956, std values: 0.7926365810674663, min values: -2.632854336056873, max values: 3.0, median values: 0.1369874041423147, and quantile values: 0.25 -0.405569\n0.50 0.136987\n0.75 0.573422\nName: 566, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4686278454983521, std values: 0.9689179790764465, min values: -2.102258330765142, max values: 3.5581019918925243, median values: 0.5604174896999143, and quantile values: 0.25 -0.186217\n0.50 0.560417\n0.75 1.107801\nName: 567, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3343135932999062, std values: 0.9340142904662165, min values: -2.610097161345549, max values: 4.0, median values: 0.4174790472534344, and quantile values: 0.25 -0.167833\n0.50 0.417479\n0.75 0.950845\nName: 568, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14654689993400544, std values: 0.8915103770018499, min values: -2.3344113078233786, max values: 3.455472209455805, median values: -0.1294761479589113, and quantile values: 0.25 -0.836257\n0.50 -0.129476\n0.75 0.483624\nName: 569, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08113784655951396, std values: 1.0978933096085923, min values: -2.5631847770497496, max values: 4.0, median values: -0.0624356325973184, and quantile values: 0.25 -0.956312\n0.50 -0.062436\n0.75 0.734146\nName: 570, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21175009554373694, std values: 1.0938359274376845, min values: -2.9622221028070275, max values: 6.0, median values: -0.1830500893258705, and quantile values: 0.25 -0.799869\n0.50 -0.183050\n0.75 0.499970\nName: 571, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.505971549960077, std values: 0.7731734244324809, min values: -2.2038853164231766, max values: 3.8226908388056136, median values: 0.4831283376241156, and quantile values: 0.25 0.023258\n0.50 0.483128\n0.75 0.972390\nName: 572, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08918450872515858, std values: 0.8044679509571526, min values: -2.4960309093026924, max values: 3.319774799707247, median values: 0.0448490322822304, and quantile values: 0.25 -0.428516\n0.50 0.044849\n0.75 0.555209\nName: 573, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.005361438877987435, std values: 0.8141252748236399, min values: -2.6412681606926487, max values: 3.336438412828754, median values: -0.0971183752694284, and quantile values: 0.25 -0.569434\n0.50 -0.097118\n0.75 0.532973\nName: 574, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09863209911833261, std values: 0.8839154678588834, min values: -2.8531572940820533, max values: 3.0, median values: -0.1579032086430725, and quantile values: 0.25 -0.754380\n0.50 -0.157903\n0.75 0.553710\nName: 575, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.024757276329470754, std values: 0.8208085008935235, min values: -2.061387406231346, max values: 3.405671179043623, median values: 0.0702048366299199, and quantile values: 0.25 -0.565940\n0.50 0.070205\n0.75 0.554759\nName: 576, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02689177094941664, std values: 0.7992057324409291, min values: -2.264034258932616, max values: 3.1801075704642923, median values: -0.1115732069316234, and quantile values: 0.25 -0.580285\n0.50 -0.111573\n0.75 0.471740\nName: 577, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22980187266217125, std values: 0.9518389424134721, min values: -2.6899145007874274, max values: 3.598076523509904, median values: 0.3157288776114688, and quantile values: 0.25 -0.285828\n0.50 0.315729\n0.75 0.828780\nName: 578, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33783646882947016, std values: 0.778580203103111, min values: -2.021990593288096, max values: 5.0, median values: 0.3734163937535733, and quantile values: 0.25 -0.139183\n0.50 0.373416\n0.75 0.806772\nName: 579, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.028918686477167027, std values: 0.7739934267889125, min values: -2.1232100101643527, max values: 6.0, median values: 0.0662253459320709, and quantile values: 0.25 -0.496705\n0.50 0.066225\n0.75 0.564626\nName: 580, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7068981329737004, std values: 1.031413566926091, min values: -2.928515832252388, max values: 5.0, median values: -0.6796466794792775, and quantile values: 0.25 -1.339376\n0.50 -0.679647\n0.75 -0.051053\nName: 581, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5602741226850239, std values: 1.008128260826499, min values: -2.642042398333877, max values: 3.2696814875916886, median values: -0.5647117647545172, and quantile values: 0.25 -1.204803\n0.50 -0.564712\n0.75 0.149571\nName: 582, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4302346588898668, std values: 1.011066660201455, min values: -2.125402219364062, max values: 4.026668017837955, median values: 0.4510092568811731, and quantile values: 0.25 -0.273048\n0.50 0.451009\n0.75 1.099198\nName: 583, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1950400264113959, std values: 0.8571650766552034, min values: -2.143127839894852, max values: 5.0, median values: 0.2341405692141159, and quantile values: 0.25 -0.429006\n0.50 0.234141\n0.75 0.826980\nName: 584, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27915338163522596, std values: 0.8521377368488159, min values: -2.100754849305273, max values: 3.1166497049712243, median values: -0.3324642331762558, and quantile values: 0.25 -0.972921\n0.50 -0.332464\n0.75 0.299732\nName: 585, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1679020208321658, std values: 0.9518679145692082, min values: -2.739804196611005, max values: 6.0, median values: -0.1170610314834094, and quantile values: 0.25 -0.745579\n0.50 -0.117061\n0.75 0.463736\nName: 586, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2959790012921682, std values: 1.15983575149259, min values: -2.7211321814067784, max values: 3.0, median values: 0.5198241967281301, and quantile values: 0.25 -0.247889\n0.50 0.519824\n0.75 1.094540\nName: 587, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31808375854159804, std values: 1.4272674154808747, min values: -2.933035609461076, max values: 5.0, median values: 0.1703244308889808, and quantile values: 0.25 -0.646064\n0.50 0.170324\n0.75 1.203799\nName: 588, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5420927394492611, std values: 0.7986178464236606, min values: -2.245752867605861, max values: 2.9666813816765742, median values: -0.5858010340919443, and quantile values: 0.25 -1.148074\n0.50 -0.585801\n0.75 -0.058126\nName: 589, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04039849226162122, std values: 0.8629701639150469, min values: -2.8467638118011016, max values: 5.0, median values: 0.0559247408761653, and quantile values: 0.25 -0.506435\n0.50 0.055925\n0.75 0.594553\nName: 590, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4763251796109075, std values: 0.7788088826464145, min values: -1.9164380693035945, max values: 3.20751086257212, median values: 0.5237054703527841, and quantile values: 0.25 0.004018\n0.50 0.523705\n0.75 0.956286\nName: 591, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3135993859355435, std values: 0.9218420959320699, min values: -2.9029979285382743, max values: 3.455472209455805, median values: -0.398613540606552, and quantile values: 0.25 -0.997846\n0.50 -0.398614\n0.75 0.292950\nName: 592, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.011418587062255578, std values: 1.0715178677636603, min values: -2.7542003929097176, max values: 5.0, median values: 0.0886745619368502, and quantile values: 0.25 -0.678873\n0.50 0.088675\n0.75 0.722719\nName: 593, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08772631141346093, std values: 0.7657055948555622, min values: -2.016491303607746, max values: 5.0, median values: -0.0615831530231727, and quantile values: 0.25 -0.615515\n0.50 -0.061583\n0.75 0.404375\nName: 594, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.030239629579826482, std values: 0.8305629304062131, min values: -2.5122218748354936, max values: 3.760287110694155, median values: 0.0806674316648388, and quantile values: 0.25 -0.449417\n0.50 0.080667\n0.75 0.553539\nName: 595, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0336906234142072, std values: 0.8326452824777573, min values: -2.580492024304656, max values: 4.0, median values: -0.1100207979226147, and quantile values: 0.25 -0.638685\n0.50 -0.110021\n0.75 0.539470\nName: 596, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4508868592486679, std values: 0.8699560552331561, min values: -2.007005291569869, max values: 5.0, median values: 0.4906449189458139, and quantile values: 0.25 -0.105701\n0.50 0.490645\n0.75 0.999310\nName: 597, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36400111588370254, std values: 0.8730044711522401, min values: -2.558791007225312, max values: 3.247416277295021, median values: 0.4705102211092105, and quantile values: 0.25 -0.146508\n0.50 0.470510\n0.75 1.001945\nName: 598, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10454360486713221, std values: 0.8090935131196191, min values: -2.1786013895059995, max values: 3.1166497049712243, median values: -0.1505991705381442, and quantile values: 0.25 -0.642127\n0.50 -0.150599\n0.75 0.376378\nName: 599, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2137306391085495, std values: 0.7672037524713797, min values: -2.169311742921253, max values: 6.0, median values: 0.1665630206534535, and quantile values: 0.25 -0.271676\n0.50 0.166563\n0.75 0.702096\nName: 600, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01297321004652583, std values: 0.8460736089295334, min values: -2.622709665346679, max values: 3.103622965243153, median values: -0.0128102517776567, and quantile values: 0.25 -0.466159\n0.50 -0.012810\n0.75 0.524303\nName: 601, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24957849681561883, std values: 0.8513061663239395, min values: -2.589966702820638, max values: 6.0, median values: 0.3106614506810338, and quantile values: 0.25 -0.359615\n0.50 0.310661\n0.75 0.843113\nName: 602, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5871476323062605, std values: 1.0137547491016095, min values: -3.236860296211546, max values: 4.026668017837955, median values: 0.7640590180581015, and quantile values: 0.25 -0.066225\n0.50 0.764059\n0.75 1.341080\nName: 603, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36200833205181177, std values: 0.8228523005034827, min values: -2.842989614395848, max values: 5.0, median values: -0.3815887760041914, and quantile values: 0.25 -0.864014\n0.50 -0.381589\n0.75 0.156937\nName: 604, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49346322241556057, std values: 1.0297132000879523, min values: -2.1323052317104474, max values: 6.0, median values: -0.6448600300061723, and quantile values: 0.25 -1.378422\n0.50 -0.644860\n0.75 0.221577\nName: 605, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5004299137887986, std values: 1.1706735993561364, min values: -2.687115288423959, max values: 5.0, median values: 0.4762999655118539, and quantile values: 0.25 -0.317589\n0.50 0.476300\n0.75 1.331019\nName: 606, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18519314008076074, std values: 0.8492612749953973, min values: -2.789830374413015, max values: 3.627976272701048, median values: 0.2242452584322098, and quantile values: 0.25 -0.242953\n0.50 0.224245\n0.75 0.675840\nName: 607, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12587945947667206, std values: 0.7886638174067422, min values: -2.154207450651022, max values: 4.243835016543704, median values: 0.0856141109749524, and quantile values: 0.25 -0.414137\n0.50 0.085614\n0.75 0.645420\nName: 608, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22976571357116912, std values: 0.89026521489101, min values: -3.307038206418975, max values: 2.9919443268184467, median values: -0.3533191179281754, and quantile values: 0.25 -0.850326\n0.50 -0.353319\n0.75 0.343293\nName: 609, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.1559840676707682, std values: 1.192211255335564, min values: -2.727901130262228, max values: 4.0, median values: -1.6877491624678858, and quantile values: 0.25 -2.140406\n0.50 -1.687749\n0.75 -0.228540\nName: 610, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30560447402773444, std values: 0.9585046725318722, min values: -2.673124659932621, max values: 6.0, median values: -0.3418455337075026, and quantile values: 0.25 -0.888229\n0.50 -0.341846\n0.75 0.297141\nName: 611, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8699095226578526, std values: 1.1347513683137145, min values: -2.6652153608723106, max values: 5.0, median values: 1.025376285157492, and quantile values: 0.25 0.359140\n0.50 1.025376\n0.75 1.651279\nName: 612, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.008482875585708139, std values: 0.892364492601847, min values: -2.799990485600992, max values: 5.0, median values: -0.04388420717559, and quantile values: 0.25 -0.607452\n0.50 -0.043884\n0.75 0.575442\nName: 613, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23631183556816798, std values: 0.8589104880531516, min values: -2.109016651938832, max values: 4.243835016543704, median values: -0.3583472020760386, and quantile values: 0.25 -0.866488\n0.50 -0.358347\n0.75 0.297688\nName: 614, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25035103569949385, std values: 0.9860439325179315, min values: -2.2398683045325223, max values: 3.4566816047670264, median values: 0.2650597478808132, and quantile values: 0.25 -0.47630\n0.50 0.26506\n0.75 1.03626\nName: 615, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14421840445163753, std values: 0.9767014561607893, min values: -2.510124273981921, max values: 3.362228250221886, median values: 0.1923015011097394, and quantile values: 0.25 -0.458741\n0.50 0.192302\n0.75 0.847584\nName: 616, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0577526215637767, std values: 1.3287631108276878, min values: -2.727901130262228, max values: 4.0, median values: -1.7968676397817571, and quantile values: 0.25 -2.168815\n0.50 -1.796868\n0.75 0.145562\nName: 617, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12960524880480304, std values: 0.8458997392665082, min values: -2.0558865589498763, max values: 3.197902420311553, median values: 0.0505561675134683, and quantile values: 0.25 -0.448891\n0.50 0.050556\n0.75 0.679647\nName: 618, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.015574491174269043, std values: 0.8237304093208323, min values: -2.5825978442440407, max values: 6.0, median values: 0.0544721483608808, and quantile values: 0.25 -0.511834\n0.50 0.054472\n0.75 0.543073\nName: 619, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2851957849809844, std values: 0.7699914474913859, min values: -2.0922737152526745, max values: 3.4217036547572275, median values: 0.3240766209346475, and quantile values: 0.25 -0.181032\n0.50 0.324077\n0.75 0.744209\nName: 620, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3092817240926966, std values: 0.8444907171715395, min values: -2.5682675825126706, max values: 5.0, median values: -0.427738416614894, and quantile values: 0.25 -0.967861\n0.50 -0.427738\n0.75 0.263170\nName: 621, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5114069916964613, std values: 1.0274749220982742, min values: -2.6685266729136536, max values: 6.0, median values: 0.4367481558245689, and quantile values: 0.25 -0.236499\n0.50 0.436748\n0.75 1.365925\nName: 622, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17809239272528748, std values: 0.8468894023930361, min values: -3.215720519334632, max values: 3.280245386470253, median values: 0.3165973984025527, and quantile values: 0.25 -0.368939\n0.50 0.316597\n0.75 0.798307\nName: 623, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.026920333219341234, std values: 0.9661199520887976, min values: -2.673124659932621, max values: 6.0, median values: 0.0797833331126978, and quantile values: 0.25 -0.572599\n0.50 0.079783\n0.75 0.636618\nName: 624, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08307390819514977, std values: 0.9752301969219448, min values: -2.7825548156447035, max values: 6.0, median values: 0.0017016851428062, and quantile values: 0.25 -0.635581\n0.50 0.001702\n0.75 0.788000\nName: 625, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16664805959750473, std values: 0.9757768962020359, min values: -2.2646642745254217, max values: 5.0, median values: -0.244697480930169, and quantile values: 0.25 -0.944803\n0.50 -0.244697\n0.75 0.476454\nName: 626, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03876093436536895, std values: 0.9264910893386481, min values: -2.3184884946917497, max values: 6.0, median values: -0.0490139456007598, and quantile values: 0.25 -0.605718\n0.50 -0.049014\n0.75 0.608731\nName: 627, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4315237797909435, std values: 0.9337191879522884, min values: -2.5122218748354936, max values: 3.760287110694155, median values: 0.5218111841835763, and quantile values: 0.25 -0.093965\n0.50 0.521811\n0.75 1.053722\nName: 628, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14855577390842936, std values: 1.0234620968103154, min values: -2.154207450651022, max values: 3.630507857092792, median values: 0.0324558718118765, and quantile values: 0.25 -0.601040\n0.50 0.032456\n0.75 0.860449\nName: 629, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11674789038621292, std values: 0.9043822936011013, min values: -2.56026492390943, max values: 4.0, median values: -0.0476059085786334, and quantile values: 0.25 -0.621467\n0.50 -0.047606\n0.75 0.441949\nName: 630, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27866097649420085, std values: 1.0097538772316563, min values: -2.5820330744015787, max values: 4.0, median values: -0.291302991027159, and quantile values: 0.25 -1.078166\n0.50 -0.291303\n0.75 0.465193\nName: 631, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.002897436176285987, std values: 0.8354997438467064, min values: -2.1103582417935702, max values: 4.0, median values: 0.0015126088626138, and quantile values: 0.25 -0.581947\n0.50 0.001513\n0.75 0.482769\nName: 632, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5303751096447474, std values: 0.8964470488375553, min values: -3.00972886875607, max values: 3.2906806286429298, median values: -0.6552241532407724, and quantile values: 0.25 -1.139030\n0.50 -0.655224\n0.75 0.026923\nName: 633, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.025534576714086203, std values: 0.8183955655038807, min values: -2.2915911556076085, max values: 3.4566816047670264, median values: -0.0808608366043116, and quantile values: 0.25 -0.562355\n0.50 -0.080861\n0.75 0.458899\nName: 634, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5612856148021416, std values: 0.9187939141457439, min values: -2.6820581866633817, max values: 3.1395741599540568, median values: -0.591243843799245, and quantile values: 0.25 -1.132415\n0.50 -0.591244\n0.75 -0.012030\nName: 635, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6278028968738709, std values: 0.9083327535046897, min values: -2.679056533720636, max values: 5.0, median values: -0.7230762369815963, and quantile values: 0.25 -1.234230\n0.50 -0.723076\n0.75 -0.043498\nName: 636, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5425451918056982, std values: 0.9458667294669643, min values: -1.960359390357887, max values: 6.0, median values: 0.601294665318424, and quantile values: 0.25 -0.152412\n0.50 0.601295\n0.75 1.295766\nName: 637, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3951067799995801, std values: 0.9855094417036838, min values: -2.982771139679002, max values: 4.0, median values: -0.4812563086793566, and quantile values: 0.25 -1.048048\n0.50 -0.481256\n0.75 0.252181\nName: 638, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2964558665909912, std values: 0.7863373464578362, min values: -2.209283142861864, max values: 6.0, median values: 0.3710623685246781, and quantile values: 0.25 -0.227273\n0.50 0.371062\n0.75 0.840093\nName: 639, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5664802232670278, std values: 0.9747900153647773, min values: -2.622408470084112, max values: 3.2696814875916886, median values: -0.6342467844022905, and quantile values: 0.25 -1.360139\n0.50 -0.634247\n0.75 0.108469\nName: 640, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0296063286078098, std values: 0.8173585014369199, min values: -2.620939317041317, max values: 4.026668017837955, median values: -0.0698137501085029, and quantile values: 0.25 -0.565099\n0.50 -0.069814\n0.75 0.470748\nName: 641, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1637634715877436, std values: 0.8191249361515439, min values: -2.6685266729136536, max values: 6.0, median values: -0.2414355044433322, and quantile values: 0.25 -0.702625\n0.50 -0.241436\n0.75 0.314682\nName: 642, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.015447900889802536, std values: 0.8351064807205973, min values: -2.482931728382393, max values: 3.455472209455805, median values: -0.0537944318223478, and quantile values: 0.25 -0.533709\n0.50 -0.053794\n0.75 0.539495\nName: 643, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4314825517110194, std values: 0.8587094206942728, min values: -1.882994121800612, max values: 3.760287110694155, median values: 0.3759346200621228, and quantile values: 0.25 -0.203543\n0.50 0.375935\n0.75 1.056609\nName: 644, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.040782962166061636, std values: 0.7778994917986186, min values: -2.221075353514828, max values: 3.455472209455805, median values: -0.1070795070411735, and quantile values: 0.25 -0.602426\n0.50 -0.107080\n0.75 0.461300\nName: 645, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08116919403611299, std values: 0.7377202456574113, min values: -1.950129502522571, max values: 3.05919958255637, median values: 0.0800596071788822, and quantile values: 0.25 -0.405122\n0.50 0.080060\n0.75 0.532701\nName: 646, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3844475942508669, std values: 0.9354724586632005, min values: -2.5501488616953263, max values: 3.721862465295849, median values: 0.3488196290088257, and quantile values: 0.25 -0.205026\n0.50 0.348820\n0.75 0.952596\nName: 647, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4838794878695178, std values: 0.8649315622619212, min values: -2.5293911731823453, max values: 3.0, median values: -0.5577923642965839, and quantile values: 0.25 -1.198547\n0.50 -0.557792\n0.75 0.097267\nName: 648, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07475819405063952, std values: 0.8569977029297341, min values: -2.4737574649270093, max values: 3.0, median values: -0.1282607377382791, and quantile values: 0.25 -0.680587\n0.50 -0.128261\n0.75 0.490538\nName: 649, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5008975801314468, std values: 0.8925166514870725, min values: -2.684072796644972, max values: 6.0, median values: -0.5545370236231378, and quantile values: 0.25 -1.068078\n0.50 -0.554537\n0.75 0.015812\nName: 650, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5121383555175104, std values: 1.0353101687330952, min values: -2.025405408182953, max values: 3.4566816047670264, median values: 0.6337555606205051, and quantile values: 0.25 -0.273539\n0.50 0.633756\n0.75 1.321904\nName: 651, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16657901946500844, std values: 0.8287661989254802, min values: -2.442256129120324, max values: 6.0, median values: -0.2620010458470387, and quantile values: 0.25 -0.752276\n0.50 -0.262001\n0.75 0.341369\nName: 652, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16576343006709995, std values: 0.8128385315082864, min values: -2.300042081328127, max values: 4.243835016543704, median values: -0.2429444557135536, and quantile values: 0.25 -0.784086\n0.50 -0.242944\n0.75 0.386754\nName: 653, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44077820672533563, std values: 0.8960712614518972, min values: -3.5186644300181262, max values: 3.598076523509904, median values: 0.5409356078982904, and quantile values: 0.25 -0.107472\n0.50 0.540936\n0.75 1.039454\nName: 654, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.052953460465312865, std values: 0.8317387899171496, min values: -2.265570063420619, max values: 3.241738645014612, median values: -0.13808492290624, and quantile values: 0.25 -0.667873\n0.50 -0.138085\n0.75 0.520676\nName: 655, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4693646270335827, std values: 0.8252611764039922, min values: -2.2262971094910258, max values: 3.760287110694155, median values: 0.4220734682796893, and quantile values: 0.25 -0.062693\n0.50 0.422073\n0.75 0.989906\nName: 656, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21557990380139172, std values: 0.8949268161788837, min values: -3.388351014295885, max values: 3.5021977227593246, median values: -0.1185917228456084, and quantile values: 0.25 -0.809291\n0.50 -0.118592\n0.75 0.438385\nName: 657, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.022609954314105556, std values: 0.9095722284480139, min values: -2.887007053971579, max values: 3.4758930087721422, median values: 0.1204722353786556, and quantile values: 0.25 -0.561552\n0.50 0.120472\n0.75 0.637638\nName: 658, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11117674079896489, std values: 0.8877194173031444, min values: -2.209826040384377, max values: 3.1395741599540568, median values: -0.111787248130314, and quantile values: 0.25 -0.708701\n0.50 -0.111787\n0.75 0.446827\nName: 659, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13761728763988623, std values: 0.9927875248312823, min values: -2.876502173242568, max values: 3.867701659180865, median values: 0.2364015128100122, and quantile values: 0.25 -0.526614\n0.50 0.236402\n0.75 0.883854\nName: 660, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6101985294483315, std values: 0.8438578539496, min values: -2.094387655371891, max values: 5.0, median values: -0.7879166845562184, and quantile values: 0.25 -1.247629\n0.50 -0.787917\n0.75 -0.074287\nName: 661, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3447609785025722, std values: 0.9970210316622968, min values: -2.6603025395856053, max values: 5.0, median values: -0.3572315354559996, and quantile values: 0.25 -1.051249\n0.50 -0.357232\n0.75 0.287626\nName: 662, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0846199222964668, std values: 0.8685556619168269, min values: -2.066806605942469, max values: 5.0, median values: -0.1666372777887582, and quantile values: 0.25 -0.731327\n0.50 -0.166637\n0.75 0.508164\nName: 663, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21415570147908616, std values: 0.8217404813176236, min values: -2.3956757135390148, max values: 3.670892362631932, median values: 0.2638114995769587, and quantile values: 0.25 -0.269395\n0.50 0.263811\n0.75 0.756606\nName: 664, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15219766868662352, std values: 0.9705026958503816, min values: -2.608390851963037, max values: 5.0, median values: -0.0670066595151071, and quantile values: 0.25 -0.742651\n0.50 -0.067007\n0.75 0.479819\nName: 665, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22892712032905102, std values: 1.0480604627023227, min values: -2.297801286714321, max values: 3.667275230673496, median values: 0.2680201535996551, and quantile values: 0.25 -0.550460\n0.50 0.268020\n0.75 1.019504\nName: 666, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31016029112058613, std values: 0.8399322927414266, min values: -2.1644103278868894, max values: 2.985133931273498, median values: 0.3794544141124761, and quantile values: 0.25 -0.242652\n0.50 0.379454\n0.75 0.863053\nName: 667, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10698495335932252, std values: 0.9403168990761702, min values: -2.873069976951463, max values: 3.17157439250477, median values: -0.145700628721839, and quantile values: 0.25 -0.800344\n0.50 -0.145701\n0.75 0.537528\nName: 668, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2541986323372591, std values: 0.9725434863234098, min values: -2.608390851963037, max values: 5.0, median values: -0.1737807761316704, and quantile values: 0.25 -0.921057\n0.50 -0.173781\n0.75 0.397039\nName: 669, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14548040096826062, std values: 0.9830784073265083, min values: -2.5399045531878324, max values: 4.0, median values: -0.1836269311225132, and quantile values: 0.25 -0.772394\n0.50 -0.183627\n0.75 0.527044\nName: 670, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5978258909834657, std values: 1.1683474356232872, min values: -2.140398613737501, max values: 5.0, median values: 0.7511164955128267, and quantile values: 0.25 -0.274938\n0.50 0.751116\n0.75 1.497706\nName: 671, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1516559094287668, std values: 0.9070795871056597, min values: -2.64479559868397, max values: 6.0, median values: 0.2436616737529955, and quantile values: 0.25 -0.291224\n0.50 0.243662\n0.75 0.716742\nName: 672, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41091353700977323, std values: 1.4507132714087498, min values: -2.928515832252388, max values: 5.0, median values: 0.4490739104394692, and quantile values: 0.25 -0.526013\n0.50 0.449074\n0.75 1.509895\nName: 673, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17114238786220431, std values: 0.833067695569889, min values: -2.5631960397140583, max values: 4.0, median values: 0.1695593524347828, and quantile values: 0.25 -0.370225\n0.50 0.169559\n0.75 0.718434\nName: 674, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2274029104232966, std values: 0.7498585495026018, min values: -2.90140378513671, max values: 3.05919958255637, median values: -0.2604344464181957, and quantile values: 0.25 -0.715016\n0.50 -0.260434\n0.75 0.235103\nName: 675, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15625762179873517, std values: 0.8484723727486856, min values: -2.566149343918479, max values: 6.0, median values: 0.1220674341168015, and quantile values: 0.25 -0.466000\n0.50 0.122067\n0.75 0.813382\nName: 676, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7791312130141945, std values: 0.891366485462237, min values: -2.841647375415054, max values: 5.0, median values: -0.9843663587325944, and quantile values: 0.25 -1.453482\n0.50 -0.984366\n0.75 -0.250618\nName: 677, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27863211231909996, std values: 0.8459894566496895, min values: -2.542889966859849, max values: 6.0, median values: 0.3032481919272957, and quantile values: 0.25 -0.249498\n0.50 0.303248\n0.75 0.822398\nName: 678, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.003101795873882656, std values: 0.841214965491474, min values: -2.149743899676465, max values: 5.0, median values: 0.0110434890073902, and quantile values: 0.25 -0.579602\n0.50 0.011043\n0.75 0.571411\nName: 679, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.164885627407449, std values: 0.8428493927795196, min values: -2.0353567906974, max values: 3.2071942083719924, median values: -0.1742655415218383, and quantile values: 0.25 -0.845158\n0.50 -0.174266\n0.75 0.420115\nName: 680, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5924188702912918, std values: 1.1442102529179758, min values: -2.9797100147087465, max values: 5.0, median values: 0.5392149889692816, and quantile values: 0.25 -0.217783\n0.50 0.539215\n0.75 1.420047\nName: 681, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09790283073908411, std values: 1.0351207016219723, min values: -2.789830374413015, max values: 3.0, median values: 0.2729905624393832, and quantile values: 0.25 -0.409550\n0.50 0.272991\n0.75 0.764914\nName: 682, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17091889732005838, std values: 0.9608621397396939, min values: -2.6652153608723106, max values: 5.0, median values: 0.2305473851769164, and quantile values: 0.25 -0.489952\n0.50 0.230547\n0.75 0.877281\nName: 683, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27413231214552, std values: 0.8141996218523985, min values: -2.5122218748354936, max values: 3.5021977227593246, median values: -0.3045460283020903, and quantile values: 0.25 -0.781069\n0.50 -0.304546\n0.75 0.212794\nName: 684, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.051371150621568246, std values: 1.038816056450983, min values: -2.060926614662576, max values: 6.0, median values: -0.0504182953446309, and quantile values: 0.25 -0.748018\n0.50 -0.050418\n0.75 0.830345\nName: 685, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31907526065105374, std values: 0.781279600850661, min values: -2.566149343918479, max values: 6.0, median values: 0.4096526632181907, and quantile values: 0.25 -0.209246\n0.50 0.409653\n0.75 0.834071\nName: 686, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.029706935335940047, std values: 0.8395191542979282, min values: -2.9278427058120164, max values: 6.0, median values: -0.0106579159245917, and quantile values: 0.25 -0.520991\n0.50 -0.010658\n0.75 0.519162\nName: 687, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6694607551468228, std values: 1.1817726751910151, min values: -2.7314147016889114, max values: 3.1801075704642923, median values: 0.6876516727068214, and quantile values: 0.25 -0.134215\n0.50 0.687652\n0.75 1.637755\nName: 688, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0799654493343291, std values: 1.2525597749622785, min values: -2.727901130262228, max values: 4.0, median values: -1.682658490566088, and quantile values: 0.25 -2.140406\n0.50 -1.682658\n0.75 -0.055824\nName: 689, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5817744503782122, std values: 0.9705764386465777, min values: -2.8563982925340614, max values: 4.0, median values: -0.5145116164741422, and quantile values: 0.25 -1.119312\n0.50 -0.514512\n0.75 0.041762\nName: 690, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.377653775239812, std values: 0.8329368110262971, min values: -2.5631960397140583, max values: 4.0, median values: 0.4145869569890021, and quantile values: 0.25 -0.153805\n0.50 0.414587\n0.75 0.953378\nName: 691, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28625838003189075, std values: 0.9362501567530611, min values: -1.996697506499118, max values: 3.5427287984042666, median values: 0.2562772519637825, and quantile values: 0.25 -0.407395\n0.50 0.256277\n0.75 0.938699\nName: 692, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6427916837965125, std values: 0.9056521300432183, min values: -2.048935494746508, max values: 3.4566816047670264, median values: 0.7167113724136182, and quantile values: 0.25 0.025697\n0.50 0.716711\n0.75 1.289227\nName: 693, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28792827887218786, std values: 0.8983378858733415, min values: -2.788272971802125, max values: 3.2266531185902125, median values: -0.3324761132735516, and quantile values: 0.25 -0.884140\n0.50 -0.332476\n0.75 0.302363\nName: 694, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06805112384038092, std values: 0.8754689578911697, min values: -2.119118875804272, max values: 5.0, median values: -0.0070501225461538, and quantile values: 0.25 -0.538265\n0.50 -0.007050\n0.75 0.654346\nName: 695, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5184129059682118, std values: 0.9146074610494384, min values: -2.136064736636534, max values: 6.0, median values: -0.6789911255704012, and quantile values: 0.25 -1.270549\n0.50 -0.678991\n0.75 0.109882\nName: 696, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08455962259909101, std values: 0.9394540089990742, min values: -2.1615535666033687, max values: 6.0, median values: -0.1684565267323008, and quantile values: 0.25 -0.758514\n0.50 -0.168457\n0.75 0.466317\nName: 697, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.256869207782444, std values: 0.8413540706593372, min values: -2.4540853055744134, max values: 3.0, median values: 0.2711044476007775, and quantile values: 0.25 -0.291421\n0.50 0.271104\n0.75 0.764597\nName: 698, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08039407123064443, std values: 0.9464224531104578, min values: -2.9622221028070275, max values: 4.0, median values: 0.2040735458002066, and quantile values: 0.25 -0.372066\n0.50 0.204074\n0.75 0.658655\nName: 699, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8194642533148477, std values: 1.121955717658049, min values: -3.0148736195915964, max values: 3.3014869995452325, median values: -0.7922522988115737, and quantile values: 0.25 -1.779692\n0.50 -0.792252\n0.75 0.062388\nName: 700, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.021676211221788765, std values: 0.8517588581601557, min values: -2.64479559868397, max values: 6.0, median values: 0.0896502511314677, and quantile values: 0.25 -0.465439\n0.50 0.089650\n0.75 0.541478\nName: 701, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27767314489294725, std values: 0.8910422824030864, min values: -2.196708653609315, max values: 6.0, median values: -0.4192847854602499, and quantile values: 0.25 -0.889813\n0.50 -0.419285\n0.75 0.198816\nName: 702, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3161354068385522, std values: 0.9654360387710322, min values: -2.7510671817729784, max values: 6.0, median values: -0.3966810067178375, and quantile values: 0.25 -0.990771\n0.50 -0.396681\n0.75 0.370001\nName: 703, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13216101851052453, std values: 1.1041190645530417, min values: -2.740813841730953, max values: 3.477886732511886, median values: 0.3021814646308304, and quantile values: 0.25 -0.317142\n0.50 0.302181\n0.75 0.820179\nName: 704, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.038228447606765414, std values: 0.8907908614248556, min values: -2.9090251609554527, max values: 6.0, median values: 0.0676462390644191, and quantile values: 0.25 -0.415829\n0.50 0.067646\n0.75 0.600332\nName: 705, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4498513430779072, std values: 1.022740468812737, min values: -2.6270253558526173, max values: 4.0, median values: -0.3966298689844714, and quantile values: 0.25 -1.091362\n0.50 -0.396630\n0.75 0.256770\nName: 706, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12798852190050433, std values: 1.0184263986401945, min values: -2.8282523283494294, max values: 4.0, median values: -0.0231402448608761, and quantile values: 0.25 -0.633120\n0.50 -0.023140\n0.75 0.501564\nName: 707, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19974799489342762, std values: 0.8736245207392469, min values: -2.1461485431226226, max values: 2.95782096138206, median values: -0.351357572706932, and quantile values: 0.25 -0.848126\n0.50 -0.351358\n0.75 0.338099\nName: 708, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19575006612758455, std values: 1.0344288777868973, min values: -2.679056533720636, max values: 5.0, median values: 0.2147100224357196, and quantile values: 0.25 -0.342472\n0.50 0.214710\n0.75 0.838480\nName: 709, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12861000111339724, std values: 0.9164940402494858, min values: -2.8998169811239416, max values: 3.250922035035844, median values: 0.0275978945790725, and quantile values: 0.25 -0.540234\n0.50 0.027598\n0.75 0.736085\nName: 710, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3527375796525766, std values: 0.8064633793074052, min values: -1.868430511127924, max values: 3.784832159836258, median values: 0.4565893894150872, and quantile values: 0.25 -0.192273\n0.50 0.456589\n0.75 0.895474\nName: 711, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4771198847771796, std values: 0.9234026996064882, min values: -2.5213149333948146, max values: 3.721862465295849, median values: 0.5734219349198045, and quantile values: 0.25 -0.141450\n0.50 0.573422\n0.75 1.149523\nName: 712, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.009446891508344586, std values: 0.8064514708730601, min values: -2.4788285026914285, max values: 4.0, median values: -0.0407694746761673, and quantile values: 0.25 -0.531270\n0.50 -0.040769\n0.75 0.483531\nName: 713, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2962881044587104, std values: 0.7519571354484265, min values: -2.525362520654854, max values: 5.0, median values: 0.3225967449496865, and quantile values: 0.25 -0.156578\n0.50 0.322597\n0.75 0.737097\nName: 714, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03786494088259593, std values: 0.911447995572158, min values: -2.63315074164461, max values: 6.0, median values: 0.0961223214667627, and quantile values: 0.25 -0.425849\n0.50 0.096122\n0.75 0.587926\nName: 715, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33275244087770167, std values: 0.9196268166744219, min values: -2.3893642989164, max values: 2.8404846196714506, median values: -0.4192331739907665, and quantile values: 0.25 -1.085358\n0.50 -0.419233\n0.75 0.301576\nName: 716, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08507854940059166, std values: 0.7809089984410282, min values: -1.9085722628250763, max values: 6.0, median values: -0.1781973976590034, and quantile values: 0.25 -0.604540\n0.50 -0.178197\n0.75 0.389655\nName: 717, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1101459581052396, std values: 0.7993554294586064, min values: -2.0839101397393343, max values: 6.0, median values: -0.1919087704326182, and quantile values: 0.25 -0.670978\n0.50 -0.191909\n0.75 0.385990\nName: 718, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1128417259118357, std values: 0.8075714158317758, min values: -2.0198682482092503, max values: 4.0, median values: 0.0942282181446039, and quantile values: 0.25 -0.397525\n0.50 0.094228\n0.75 0.605321\nName: 719, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5027507571098511, std values: 0.8887192057724738, min values: -2.634919142586459, max values: 6.0, median values: -0.5360964523037682, and quantile values: 0.25 -1.140251\n0.50 -0.536096\n0.75 0.013472\nName: 720, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13111568217539535, std values: 0.8092465321964064, min values: -2.2915911556076085, max values: 3.2906806286429298, median values: -0.1244727252016415, and quantile values: 0.25 -0.731456\n0.50 -0.124473\n0.75 0.409010\nName: 721, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30346752805528404, std values: 0.763530515813377, min values: -2.116008317253216, max values: 5.0, median values: -0.3548792648716288, and quantile values: 0.25 -0.832980\n0.50 -0.354879\n0.75 0.133771\nName: 722, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2558140245002088, std values: 0.8932990995480669, min values: -2.589966702820638, max values: 6.0, median values: 0.1385238626099512, and quantile values: 0.25 -0.419801\n0.50 0.138524\n0.75 0.872718\nName: 723, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.610506150553664, std values: 0.8218852559855413, min values: -2.624430079697818, max values: 3.135426854633533, median values: 0.6851073175024904, and quantile values: 0.25 0.060873\n0.50 0.685107\n0.75 1.171504\nName: 724, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3386827625774583, std values: 0.8114055860696655, min values: -2.620939317041317, max values: 4.0, median values: 0.3777278629766746, and quantile values: 0.25 -0.221422\n0.50 0.377728\n0.75 0.866688\nName: 725, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.037102648223873796, std values: 0.8104980038061149, min values: -1.967443887800321, max values: 6.0, median values: 0.0391487371433333, and quantile values: 0.25 -0.560034\n0.50 0.039149\n0.75 0.617085\nName: 726, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4051074482332355, std values: 0.7731150842184485, min values: -2.0854901680147853, max values: 3.247416277295021, median values: -0.4593401883561192, and quantile values: 0.25 -0.939912\n0.50 -0.459340\n0.75 0.013708\nName: 727, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2927782005537077, std values: 1.1860386085711703, min values: -2.838932175687192, max values: 4.0, median values: 0.6092995623197287, and quantile values: 0.25 -0.236547\n0.50 0.609300\n0.75 1.112704\nName: 728, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34334461262547034, std values: 0.9227788115636791, min values: -1.8589023738024253, max values: 6.0, median values: 0.3885375326528132, and quantile values: 0.25 -0.330905\n0.50 0.388538\n0.75 1.090162\nName: 729, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2518606559392078, std values: 0.7683154565518736, min values: -2.525881048269423, max values: 3.0838352979250487, median values: -0.2672635482018078, and quantile values: 0.25 -0.765842\n0.50 -0.267264\n0.75 0.192302\nName: 730, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06999138141146709, std values: 0.7429377975571819, min values: -2.5213149333948146, max values: 3.025409039429847, median values: -0.0909763768947696, and quantile values: 0.25 -0.550160\n0.50 -0.090976\n0.75 0.388110\nName: 731, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23648298839730625, std values: 0.8581284299998825, min values: -2.589966702820638, max values: 6.0, median values: 0.256049589082862, and quantile values: 0.25 -0.342898\n0.50 0.256050\n0.75 0.815650\nName: 732, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12990068729189472, std values: 0.8309106143959593, min values: -2.439930808627264, max values: 4.0, median values: -0.2347491469762733, and quantile values: 0.25 -0.749269\n0.50 -0.234749\n0.75 0.419491\nName: 733, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.123950886723455, std values: 1.0602434834246184, min values: -2.869671295224012, max values: 6.0, median values: 0.0156154250960291, and quantile values: 0.25 -0.769835\n0.50 0.015615\n0.75 0.660594\nName: 734, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3022075275867562, std values: 1.1705966580322693, min values: -2.8164291268114208, max values: 3.670892362631932, median values: 0.2785971026358432, and quantile values: 0.25 -0.634247\n0.50 0.278597\n0.75 1.210410\nName: 735, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4215010635499314, std values: 0.9288499671938107, min values: -2.590643619371846, max values: 4.0, median values: 0.5213223642876417, and quantile values: 0.25 -0.062554\n0.50 0.521322\n0.75 0.995732\nName: 736, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11339956125953914, std values: 1.0902869116499916, min values: -2.6466193392086392, max values: 4.278004674434932, median values: -0.1651492730199403, and quantile values: 0.25 -0.797313\n0.50 -0.165149\n0.75 0.566206\nName: 737, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11194605467077207, std values: 0.8927085848874112, min values: -2.099713839971814, max values: 5.0, median values: 0.0373519920953194, and quantile values: 0.25 -0.539119\n0.50 0.037352\n0.75 0.741064\nName: 738, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21643314924854326, std values: 1.0451918120086685, min values: -3.0960472541202715, max values: 6.0, median values: -0.3100910331336875, and quantile values: 0.25 -0.984021\n0.50 -0.310091\n0.75 0.493273\nName: 739, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.013943675717547437, std values: 0.9631818983486377, min values: -2.5046447434119337, max values: 4.0, median values: -0.0546701954423425, and quantile values: 0.25 -0.794931\n0.50 -0.054670\n0.75 0.681106\nName: 740, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2602281850149355, std values: 0.8900662325397967, min values: -2.1124050188802093, max values: 5.0, median values: 0.2159126971250194, and quantile values: 0.25 -0.346987\n0.50 0.215913\n0.75 0.844069\nName: 741, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07316006710631713, std values: 0.7095129740984211, min values: -2.3184884946917497, max values: 6.0, median values: 0.09294635343348, and quantile values: 0.25 -0.381106\n0.50 0.092946\n0.75 0.482386\nName: 742, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.002617333020223066, std values: 0.8504212223538513, min values: -1.88919142551898, max values: 4.0, median values: -0.071580676493383, and quantile values: 0.25 -0.663949\n0.50 -0.071581\n0.75 0.614555\nName: 743, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15544062298160277, std values: 0.9932704455893476, min values: -2.623568901859613, max values: 4.0, median values: 0.299988884491048, and quantile values: 0.25 -0.322220\n0.50 0.299989\n0.75 0.795347\nName: 744, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06795033441857977, std values: 0.7723813909903738, min values: -2.105967784650795, max values: 4.0, median values: -0.1127641582683438, and quantile values: 0.25 -0.601691\n0.50 -0.112764\n0.75 0.412379\nName: 745, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4730843910235018, std values: 0.8183819778452873, min values: -2.1285756251111843, max values: 3.630507857092792, median values: -0.5824042184206697, and quantile values: 0.25 -1.114505\n0.50 -0.582404\n0.75 0.083320\nName: 746, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5249871809214002, std values: 0.9931827369945775, min values: -2.9029979285382743, max values: 6.0, median values: -0.5830569293143852, and quantile values: 0.25 -1.183559\n0.50 -0.583057\n0.75 0.061782\nName: 747, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5898781489537095, std values: 0.9130941787574519, min values: -2.7648443048846945, max values: 3.415255285860171, median values: 0.6810169655815483, and quantile values: 0.25 -0.075774\n0.50 0.681017\n0.75 1.293287\nName: 748, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24729237901002207, std values: 0.8332650167560166, min values: -2.321510952509234, max values: 2.9245279250138942, median values: 0.2789165235584843, and quantile values: 0.25 -0.350781\n0.50 0.278917\n0.75 0.932439\nName: 749, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2317443085205264, std values: 0.9918137827671626, min values: -2.2398683045325223, max values: 4.026668017837955, median values: 0.1199485058265606, and quantile values: 0.25 -0.446828\n0.50 0.119949\n0.75 0.836030\nName: 750, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.040181136800180935, std values: 0.8319915457682348, min values: -2.579723791499676, max values: 4.0, median values: -0.0003304717627232, and quantile values: 0.25 -0.583906\n0.50 -0.000330\n0.75 0.600908\nName: 751, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04565480284760744, std values: 0.8572229803791994, min values: -2.4657737907743, max values: 3.32433157891547, median values: -0.148567635993511, and quantile values: 0.25 -0.635230\n0.50 -0.148568\n0.75 0.495182\nName: 752, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09082850115037004, std values: 0.8389781157907965, min values: -2.028412867843044, max values: 3.627976272701048, median values: 0.0327396365925265, and quantile values: 0.25 -0.549967\n0.50 0.032740\n0.75 0.654961\nName: 753, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29344748830292705, std values: 0.9433929497363159, min values: -2.6404955031131814, max values: 6.0, median values: -0.4286131280052149, and quantile values: 0.25 -1.025884\n0.50 -0.428613\n0.75 0.348317\nName: 754, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3709868937117376, std values: 0.8089473411800725, min values: -2.0567990530927305, max values: 3.455472209455805, median values: -0.4951283366964578, and quantile values: 0.25 -0.956137\n0.50 -0.495128\n0.75 0.106770\nName: 755, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3691383659574231, std values: 0.9182464400774234, min values: -2.185219243548396, max values: 2.822103724428759, median values: -0.4952649679812788, and quantile values: 0.25 -1.105429\n0.50 -0.495265\n0.75 0.243991\nName: 756, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10164092009914939, std values: 0.8345872941738992, min values: -2.4823451998031074, max values: 3.0, median values: -0.1466800536698129, and quantile values: 0.25 -0.598861\n0.50 -0.146680\n0.75 0.431241\nName: 757, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.014670472827218893, std values: 0.8416650100739168, min values: -2.684072796644972, max values: 6.0, median values: 0.0057557482091909, and quantile values: 0.25 -0.493232\n0.50 0.005756\n0.75 0.434628\nName: 758, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09938016841314551, std values: 0.8759020030077158, min values: -2.6635706018350787, max values: 3.415255285860171, median values: -0.1715260467037208, and quantile values: 0.25 -0.714874\n0.50 -0.171526\n0.75 0.465000\nName: 759, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5133796893350064, std values: 0.8932626633115373, min values: -2.687115288423959, max values: 5.0, median values: -0.5921166710764372, and quantile values: 0.25 -1.114505\n0.50 -0.592117\n0.75 -0.003143\nName: 760, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2098320108643723, std values: 0.7848796280616741, min values: -2.4705236352348297, max values: 3.0, median values: -0.1918807193747144, and quantile values: 0.25 -0.781107\n0.50 -0.191881\n0.75 0.287627\nName: 761, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0946279849465099, std values: 0.7975127944516196, min values: -2.169311742921253, max values: 6.0, median values: 0.1464248325320762, and quantile values: 0.25 -0.443362\n0.50 0.146425\n0.75 0.615657\nName: 762, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5281835740582801, std values: 0.8103209382458224, min values: -2.087432639025188, max values: 5.0, median values: 0.6336111121416488, and quantile values: 0.25 0.028271\n0.50 0.633611\n0.75 1.063407\nName: 763, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31121217027822795, std values: 1.2631793133869176, min values: -2.7211321814067784, max values: 3.760287110694155, median values: 0.3776263362526023, and quantile values: 0.25 -0.398435\n0.50 0.377626\n0.75 1.168334\nName: 764, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5085631974606115, std values: 0.8725418077789563, min values: -2.6850842010492566, max values: 6.0, median values: -0.6834628271425001, and quantile values: 0.25 -1.168411\n0.50 -0.683463\n0.75 0.012739\nName: 765, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18564495331780076, std values: 0.8730596947375153, min values: -3.0390690173369013, max values: 3.4566816047670264, median values: 0.2396595401502373, and quantile values: 0.25 -0.400582\n0.50 0.239660\n0.75 0.782527\nName: 766, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37086729945573454, std values: 0.7940932016934185, min values: -2.5825978442440407, max values: 6.0, median values: -0.4730019028930545, and quantile values: 0.25 -0.931709\n0.50 -0.473002\n0.75 0.074470\nName: 767, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7320300191895417, std values: 1.0858591320202675, min values: -2.928515832252388, max values: 3.8226908388056136, median values: 0.9313762418380142, and quantile values: 0.25 0.132313\n0.50 0.931376\n0.75 1.392516\nName: 768, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32200976233769946, std values: 0.9576853982275464, min values: -2.842989614395848, max values: 5.0, median values: -0.4448168311759463, and quantile values: 0.25 -0.976113\n0.50 -0.444817\n0.75 0.224994\nName: 769, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2530316731086755, std values: 0.8022643953913631, min values: -2.4657737907743, max values: 3.0, median values: -0.2971223303885224, and quantile values: 0.25 -0.782789\n0.50 -0.297122\n0.75 0.222777\nName: 770, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08877263348411825, std values: 0.8450697565877079, min values: -1.9339288476029024, max values: 4.0, median values: -0.1687442005878307, and quantile values: 0.25 -0.728236\n0.50 -0.168744\n0.75 0.443788\nName: 771, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13971173372925574, std values: 0.9024900133756678, min values: -2.6652153608723106, max values: 5.0, median values: -0.092732724219541, and quantile values: 0.25 -0.792988\n0.50 -0.092733\n0.75 0.521338\nName: 772, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5043068880509803, std values: 0.8795150786813009, min values: -2.688157591415518, max values: 5.0, median values: 0.6062008683718342, and quantile values: 0.25 -0.107531\n0.50 0.606201\n0.75 1.142972\nName: 773, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1580079872680373, std values: 1.1396710310835996, min values: -2.9029979285382743, max values: 3.627976272701048, median values: 0.0324745571214135, and quantile values: 0.25 -0.777302\n0.50 0.032475\n0.75 0.621221\nName: 774, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11406357160826018, std values: 1.0460402990912294, min values: -2.5953860446419177, max values: 3.066111439712683, median values: -0.0419399027490229, and quantile values: 0.25 -0.749644\n0.50 -0.041940\n0.75 0.557240\nName: 775, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.017382862610204372, std values: 1.0694807550066139, min values: -2.8531572940820533, max values: 6.0, median values: -0.0920837369802537, and quantile values: 0.25 -0.727734\n0.50 -0.092084\n0.75 0.728710\nName: 776, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2252302121401917, std values: 1.3279341485877978, min values: -2.642042398333877, max values: 4.243835016543704, median values: -0.3983452067241205, and quantile values: 0.25 -1.261770\n0.50 -0.398345\n0.75 0.665012\nName: 777, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.051073962715924494, std values: 0.8541524600735669, min values: -2.074944808708433, max values: 3.8226908388056136, median values: -0.1216375004299254, and quantile values: 0.25 -0.650924\n0.50 -0.121638\n0.75 0.488167\nName: 778, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.262579610396065, std values: 0.8146956804133054, min values: -2.558791007225312, max values: 3.0148736195915853, median values: 0.3455727737248618, and quantile values: 0.25 -0.196165\n0.50 0.345573\n0.75 0.800910\nName: 779, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21570766371958852, std values: 0.8120049426191697, min values: -1.922368251752539, max values: 5.0, median values: 0.2918489598182028, and quantile values: 0.25 -0.359716\n0.50 0.291849\n0.75 0.800420\nName: 780, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5026155449386378, std values: 0.8211460093749697, min values: -2.7024513197886706, max values: 3.306454397423372, median values: 0.5544543374234089, and quantile values: 0.25 -0.069802\n0.50 0.554454\n0.75 1.130744\nName: 781, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03492765249933199, std values: 0.7835051856143567, min values: -2.4125199145038643, max values: 4.0, median values: -0.0801977465022173, and quantile values: 0.25 -0.551315\n0.50 -0.080198\n0.75 0.438476\nName: 782, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1740195052799397, std values: 0.9886244236097347, min values: -2.6115251494731915, max values: 3.0651860794139534, median values: -0.2631018947289129, and quantile values: 0.25 -0.975276\n0.50 -0.263102\n0.75 0.487497\nName: 783, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09018693109027745, std values: 0.916724269890531, min values: -2.5743883495350026, max values: 5.0, median values: 0.1958654924087381, and quantile values: 0.25 -0.440781\n0.50 0.195865\n0.75 0.746268\nName: 784, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.434089411490134, std values: 0.9837845666304572, min values: -2.521882829270847, max values: 4.0, median values: 0.5221076886485247, and quantile values: 0.25 -0.223313\n0.50 0.522108\n0.75 1.201996\nName: 785, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1875557790955974, std values: 0.8829538460572566, min values: -2.081628667506599, max values: 4.0, median values: -0.1906746664008544, and quantile values: 0.25 -0.869105\n0.50 -0.190675\n0.75 0.484310\nName: 786, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21050141551379603, std values: 0.9780294541006777, min values: -2.6800544037614658, max values: 4.0, median values: 0.3682906024719131, and quantile values: 0.25 -0.256990\n0.50 0.368291\n0.75 0.894875\nName: 787, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2102291054464556, std values: 0.8925342134647409, min values: -2.687115288423959, max values: 5.0, median values: -0.2140337161577866, and quantile values: 0.25 -0.821194\n0.50 -0.214034\n0.75 0.362432\nName: 788, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.021824169143586904, std values: 0.7171925152180824, min values: -2.5832619696830608, max values: 6.0, median values: -0.0577544915804959, and quantile values: 0.25 -0.496491\n0.50 -0.057754\n0.75 0.397719\nName: 789, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1420700011271578, std values: 0.8655243309693216, min values: -2.142854198138545, max values: 5.0, median values: -0.1683846104475502, and quantile values: 0.25 -0.781182\n0.50 -0.168385\n0.75 0.432042\nName: 790, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.374821841809778, std values: 0.8063502480546157, min values: -2.5825978442440407, max values: 6.0, median values: 0.457507669517317, and quantile values: 0.25 -0.154837\n0.50 0.457508\n0.75 0.887808\nName: 791, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.013451261513403619, std values: 0.7763988425701971, min values: -2.632854336056873, max values: 3.0, median values: 0.0099969371514953, and quantile values: 0.25 -0.481893\n0.50 0.009997\n0.75 0.455907\nName: 792, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08491950380797737, std values: 0.814550576311119, min values: -2.867984306888309, max values: 3.0, median values: 0.0840248925849816, and quantile values: 0.25 -0.443788\n0.50 0.084025\n0.75 0.588459\nName: 793, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10342814071045757, std values: 0.8582705077914761, min values: -2.608390851963037, max values: 5.0, median values: 0.1068893458523325, and quantile values: 0.25 -0.490165\n0.50 0.106889\n0.75 0.660477\nName: 794, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2682253446617493, std values: 0.8182903207822116, min values: -2.8843374390620142, max values: 6.0, median values: -0.2363489030973211, and quantile values: 0.25 -0.904333\n0.50 -0.236349\n0.75 0.272632\nName: 795, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4527420539776621, std values: 0.7887218219198195, min values: -2.212004168819108, max values: 3.0, median values: -0.5709891002039825, and quantile values: 0.25 -1.013798\n0.50 -0.570989\n0.75 0.007546\nName: 796, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3640273114282673, std values: 1.1502213451513723, min values: -3.05087304133376, max values: 5.0, median values: -0.4095204430285272, and quantile values: 0.25 -1.198354\n0.50 -0.409520\n0.75 0.442056\nName: 797, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06611248532399308, std values: 1.124169989561811, min values: -3.3126932323446474, max values: 3.8226908388056136, median values: 0.1671142326532713, and quantile values: 0.25 -0.574591\n0.50 0.167114\n0.75 0.801939\nName: 798, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34698098697352997, std values: 0.8087352451666784, min values: -2.1217267615601973, max values: 4.0, median values: -0.4332063517077325, and quantile values: 0.25 -0.931855\n0.50 -0.433206\n0.75 0.138218\nName: 799, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.032613911634057864, std values: 0.8430228246307074, min values: -2.1062910125783354, max values: 6.0, median values: -0.1344099117684307, and quantile values: 0.25 -0.648441\n0.50 -0.134410\n0.75 0.534117\nName: 800, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41260583686324964, std values: 0.8729597480498337, min values: -2.2398683045325223, max values: 3.0774992973297404, median values: -0.5679447100847284, and quantile values: 0.25 -1.079076\n0.50 -0.567945\n0.75 0.175776\nName: 801, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2880195726797369, std values: 0.8970537643512624, min values: -2.6115251494731915, max values: 5.0, median values: -0.3279683165738112, and quantile values: 0.25 -1.017720\n0.50 -0.327968\n0.75 0.338190\nName: 802, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.029341458247312827, std values: 0.9193139053958908, min values: -2.0600063421362025, max values: 3.721862465295849, median values: -0.1123580497259164, and quantile values: 0.25 -0.746081\n0.50 -0.112358\n0.75 0.609869\nName: 803, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.259714760810463, std values: 0.9165222877744809, min values: -2.14258071674473, max values: 3.0651860794139534, median values: -0.3176138377731288, and quantile values: 0.25 -1.013956\n0.50 -0.317614\n0.75 0.420679\nName: 804, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23742234525979075, std values: 0.7939117676785176, min values: -2.0893830184081783, max values: 6.0, median values: 0.1742366819294518, and quantile values: 0.25 -0.286690\n0.50 0.174237\n0.75 0.741344\nName: 805, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5155218479765971, std values: 1.021283159564591, min values: -3.124705982383478, max values: 3.306454397423372, median values: -0.5749674381135083, and quantile values: 0.25 -1.364245\n0.50 -0.574967\n0.75 0.197827\nName: 806, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.051464687265309055, std values: 0.9516464950532891, min values: -2.0926957556498853, max values: 3.281452258958016, median values: 0.0077661643491123, and quantile values: 0.25 -0.715398\n0.50 0.007766\n0.75 0.835628\nName: 807, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09029164980719885, std values: 0.8579700108795607, min values: -2.2262971094910258, max values: 3.2696814875916886, median values: -0.0156154250960291, and quantile values: 0.25 -0.530382\n0.50 -0.015615\n0.75 0.683403\nName: 808, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14503824926498388, std values: 0.9436938781805176, min values: -2.733804248449497, max values: 3.32433157891547, median values: 0.2449410160168859, and quantile values: 0.25 -0.442026\n0.50 0.244941\n0.75 0.772918\nName: 809, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4833993745437696, std values: 0.7909456740481783, min values: -2.446475285346346, max values: 3.760287110694155, median values: 0.4560123818304585, and quantile values: 0.25 0.014039\n0.50 0.456012\n0.75 1.003721\nName: 810, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42017267831787714, std values: 0.8654081882941295, min values: -2.981718296512785, max values: 5.0, median values: -0.467772533674255, and quantile values: 0.25 -0.977293\n0.50 -0.467773\n0.75 0.100379\nName: 811, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04959101101255072, std values: 1.5212379959295195, min values: -2.928515832252388, max values: 5.0, median values: 0.3961399909174209, and quantile values: 0.25 -1.809740\n0.50 0.396140\n0.75 1.198208\nName: 812, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2658924176238193, std values: 0.7987498202725897, min values: -1.9099355868889227, max values: 2.9078251235230463, median values: 0.3302940833471459, and quantile values: 0.25 -0.311274\n0.50 0.330294\n0.75 0.855259\nName: 813, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3789153636636152, std values: 0.9032607140957312, min values: -2.1811446825805905, max values: 3.477886732511886, median values: -0.3840301777739481, and quantile values: 0.25 -1.095439\n0.50 -0.384030\n0.75 0.215076\nName: 814, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3066230061549925, std values: 1.0552886781611457, min values: -3.236860296211546, max values: 3.250922035035844, median values: -0.3835213640922287, and quantile values: 0.25 -1.067994\n0.50 -0.383521\n0.75 0.412790\nName: 815, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2698124511441805, std values: 0.9036311414615963, min values: -2.860922438481449, max values: 3.438667023696733, median values: 0.3152657639284655, and quantile values: 0.25 -0.219673\n0.50 0.315266\n0.75 0.853889\nName: 816, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11372200951640345, std values: 0.8328609162789878, min values: -2.143127839894852, max values: 3.0, median values: -0.110027504977222, and quantile values: 0.25 -0.700476\n0.50 -0.110028\n0.75 0.413717\nName: 817, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31808719559607057, std values: 0.8320221036409374, min values: -2.1232100101643527, max values: 6.0, median values: 0.3595144853281523, and quantile values: 0.25 -0.261660\n0.50 0.359514\n0.75 0.960497\nName: 818, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07617456905670238, std values: 0.8438382603967352, min values: -2.3184884946917497, max values: 6.0, median values: -0.0910001094353844, and quantile values: 0.25 -0.690105\n0.50 -0.091000\n0.75 0.508370\nName: 819, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07905866168851058, std values: 1.202544664994147, min values: -2.7939007019027, max values: 3.8226908388056136, median values: -0.202746475818487, and quantile values: 0.25 -1.104620\n0.50 -0.202746\n0.75 0.828711\nName: 820, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.497067777342609, std values: 0.8675870943114556, min values: -2.891990595045606, max values: 6.0, median values: -0.5998522582090833, and quantile values: 0.25 -1.096443\n0.50 -0.599852\n0.75 0.047192\nName: 821, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5635701491500762, std values: 1.2485348163829475, min values: -2.837386543755612, max values: 5.0, median values: 0.8593544083053559, and quantile values: 0.25 -0.067575\n0.50 0.859354\n0.75 1.486198\nName: 822, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.008817947743349102, std values: 1.0907543291288424, min values: -2.9797100147087465, max values: 5.0, median values: 0.198429924476815, and quantile values: 0.25 -0.541669\n0.50 0.198430\n0.75 0.710472\nName: 823, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21647491673858174, std values: 0.8860912666980766, min values: -2.732564679617164, max values: 3.0, median values: -0.2776390102533516, and quantile values: 0.25 -0.871227\n0.50 -0.277639\n0.75 0.376738\nName: 824, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5426410187739833, std values: 0.9095473060954591, min values: -2.537573835824454, max values: 6.0, median values: 0.6359817405173502, and quantile values: 0.25 -0.077739\n0.50 0.635982\n0.75 1.219616\nName: 825, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07004483569467615, std values: 0.8890188858177602, min values: -2.104270394087118, max values: 4.0, median values: -0.0533683996150495, and quantile values: 0.25 -0.557571\n0.50 -0.053368\n0.75 0.632629\nName: 826, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43630198850697804, std values: 0.8680378677123615, min values: -2.841647375415054, max values: 5.0, median values: 0.4906625636406506, and quantile values: 0.25 -0.158043\n0.50 0.490663\n0.75 1.037554\nName: 827, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27506681647352066, std values: 0.9268954978197134, min values: -2.6652153608723106, max values: 5.0, median values: -0.3361381713263788, and quantile values: 0.25 -0.905802\n0.50 -0.336138\n0.75 0.337164\nName: 828, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.131469287590595, std values: 1.1145696115840076, min values: -2.879968592907284, max values: 4.0, median values: 0.0535340776514997, and quantile values: 0.25 -0.731672\n0.50 0.053534\n0.75 0.601468\nName: 829, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06933956906428812, std values: 0.9866560126373392, min values: -2.6320986139293034, max values: 3.349054967837474, median values: 0.0309661490574586, and quantile values: 0.25 -0.540151\n0.50 0.030966\n0.75 0.767208\nName: 830, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04526886484196803, std values: 1.0557560119815086, min values: -2.8531572940820533, max values: 6.0, median values: 0.0724795309497871, and quantile values: 0.25 -0.642743\n0.50 0.072480\n0.75 0.633842\nName: 831, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0903123854815873, std values: 0.9630830762711262, min values: -2.841647375415054, max values: 3.236860296211547, median values: 0.2177274442533153, and quantile values: 0.25 -0.494461\n0.50 0.217727\n0.75 0.754788\nName: 832, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.058968975357446655, std values: 0.9925001955846408, min values: -2.5399045531878324, max values: 4.0, median values: 0.1990386943591996, and quantile values: 0.25 -0.539495\n0.50 0.199039\n0.75 0.778442\nName: 833, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.012816740082390832, std values: 0.9129019158478138, min values: -2.6270253558526173, max values: 4.0, median values: -0.0691860816170563, and quantile values: 0.25 -0.609783\n0.50 -0.069186\n0.75 0.599028\nName: 834, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.011629108301553859, std values: 1.0049555614624668, min values: -2.510124273981921, max values: 3.2701555622463814, median values: -0.0172129206114258, and quantile values: 0.25 -0.712671\n0.50 -0.017213\n0.75 0.747861\nName: 835, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07523262598198913, std values: 0.8185643587569058, min values: -2.5544460869462697, max values: 4.0, median values: 0.1774770613919128, and quantile values: 0.25 -0.419574\n0.50 0.177477\n0.75 0.606128\nName: 836, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17681791122844528, std values: 0.9539504921061066, min values: -3.0148736195915964, max values: 3.0, median values: 0.2387567342986626, and quantile values: 0.25 -0.250107\n0.50 0.238757\n0.75 0.739914\nName: 837, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2051742557201774, std values: 0.7570155829710762, min values: -2.0683523803658423, max values: 2.4182527438922707, median values: -0.1571043024161589, and quantile values: 0.25 -0.758367\n0.50 -0.157104\n0.75 0.310581\nName: 838, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5096653272824394, std values: 0.8873413627434161, min values: -2.5122218748354936, max values: 3.0, median values: 0.6196329874725307, and quantile values: 0.25 0.021344\n0.50 0.619633\n0.75 1.118163\nName: 839, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29547527775161886, std values: 1.2704158049729621, min values: -2.64479559868397, max values: 6.0, median values: 0.1408533207057404, and quantile values: 0.25 -0.542943\n0.50 0.140853\n0.75 1.024645\nName: 840, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2906280268222021, std values: 0.8866867075209329, min values: -2.1775880058603043, max values: 3.5021977227593246, median values: -0.3556175415785658, and quantile values: 0.25 -0.996797\n0.50 -0.355618\n0.75 0.347664\nName: 841, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06665146471214074, std values: 0.7692644022766817, min values: -2.198029940219256, max values: 3.32433157891547, median values: 0.0215924991877452, and quantile values: 0.25 -0.443332\n0.50 0.021592\n0.75 0.522649\nName: 842, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24294720109964685, std values: 1.0113869689571637, min values: -3.00972886875607, max values: 3.627976272701048, median values: -0.2967765324836386, and quantile values: 0.25 -0.979052\n0.50 -0.296777\n0.75 0.483858\nName: 843, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06860603194029821, std values: 0.8683892919887085, min values: -2.6404955031131814, max values: 5.0, median values: -0.004351225193692, and quantile values: 0.25 -0.621983\n0.50 -0.004351\n0.75 0.514284\nName: 844, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15467809049541945, std values: 0.7893167785298959, min values: -2.179853905073574, max values: 6.0, median values: 0.0605886500370482, and quantile values: 0.25 -0.370502\n0.50 0.060589\n0.75 0.635808\nName: 845, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2070788835329481, std values: 1.0393822695379509, min values: -2.6320986139293034, max values: 3.0932086550988465, median values: -0.1816082508364621, and quantile values: 0.25 -0.992257\n0.50 -0.181608\n0.75 0.588656\nName: 846, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3453386706746912, std values: 0.8870935890493253, min values: -2.118282794836992, max values: 4.243835016543704, median values: 0.3995380216292886, and quantile values: 0.25 -0.263567\n0.50 0.399538\n0.75 0.951191\nName: 847, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6009614615411856, std values: 0.8664005752988855, min values: -2.740813841730953, max values: 3.397048482165858, median values: -0.6476258355527688, and quantile values: 0.25 -1.127826\n0.50 -0.647626\n0.75 -0.091973\nName: 848, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3634110160551334, std values: 0.8951466705275543, min values: -2.947062251106049, max values: 3.477886732511886, median values: 0.4563431141926743, and quantile values: 0.25 -0.134721\n0.50 0.456343\n0.75 0.985134\nName: 849, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6572183659828598, std values: 0.9743980251725699, min values: -3.3690402064071137, max values: 3.2701555622463814, median values: 0.7715774151214073, and quantile values: 0.25 0.101962\n0.50 0.771577\n0.75 1.315645\nName: 850, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08453742631849498, std values: 0.8447927394827823, min values: -2.13876869940687, max values: 3.071284484560209, median values: 0.1373214140639568, and quantile values: 0.25 -0.537064\n0.50 0.137321\n0.75 0.704812\nName: 851, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32737015079790177, std values: 1.0044232829103927, min values: -2.928515832252388, max values: 5.0, median values: -0.2479760552537812, and quantile values: 0.25 -0.852264\n0.50 -0.247976\n0.75 0.292038\nName: 852, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17842730196698997, std values: 0.8598512332816248, min values: -2.0181768990626923, max values: 4.0, median values: -0.2866227010398106, and quantile values: 0.25 -0.861579\n0.50 -0.286623\n0.75 0.386856\nName: 853, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22484937763142826, std values: 1.0076375183279416, min values: -2.642042398333877, max values: 3.9048392686725855, median values: -0.2458909418211063, and quantile values: 0.25 -0.899387\n0.50 -0.245891\n0.75 0.340170\nName: 854, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1998597764544137, std values: 0.8437801926766151, min values: -2.2463030001514643, max values: 3.0, median values: -0.267092095087668, and quantile values: 0.25 -0.782095\n0.50 -0.267092\n0.75 0.326376\nName: 855, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.8447488713040205, std values: 1.0994690033036179, min values: -3.05087304133376, max values: 5.0, median values: -2.10781213968935, and quantile values: 0.25 -2.371618\n0.50 -2.107812\n0.75 -1.849529\nName: 856, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2699634464118772, std values: 0.7982201708532618, min values: -2.439930808627264, max values: 4.0, median values: 0.333738353945102, and quantile values: 0.25 -0.243775\n0.50 0.333738\n0.75 0.788271\nName: 857, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.005287010774916127, std values: 0.871262936749998, min values: -2.572123985342288, max values: 4.0, median values: -0.0342380541839208, and quantile values: 0.25 -0.577810\n0.50 -0.034238\n0.75 0.561220\nName: 858, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08431368260924864, std values: 1.022600323129487, min values: -2.7825548156447035, max values: 5.0, median values: 0.2543994292324318, and quantile values: 0.25 -0.447663\n0.50 0.254399\n0.75 0.818111\nName: 859, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5700883266007077, std values: 1.100416724758233, min values: -2.891990595045606, max values: 6.0, median values: -0.702332459391487, and quantile values: 0.25 -1.354604\n0.50 -0.702332\n0.75 0.095154\nName: 860, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1413978665867038, std values: 0.7826044227559286, min values: -2.003208525075155, max values: 5.0, median values: 0.1099376788196247, and quantile values: 0.25 -0.374151\n0.50 0.109938\n0.75 0.628017\nName: 861, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8534748697634951, std values: 1.2150497146319421, min values: -2.0688202952550605, max values: 3.709787027503053, median values: 0.6708294903073829, and quantile values: 0.25 -0.131884\n0.50 0.670829\n0.75 1.953304\nName: 862, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4112087350542624, std values: 1.0153715505554346, min values: -3.12109453895821, max values: 3.163266084685921, median values: -0.4747914871176029, and quantile values: 0.25 -1.144245\n0.50 -0.474791\n0.75 0.268734\nName: 863, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20172962661124622, std values: 0.9007911919380672, min values: -2.5563022890751474, max values: 4.0, median values: -0.1831360418795345, and quantile values: 0.25 -0.756580\n0.50 -0.183136\n0.75 0.370177\nName: 864, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21285542234053492, std values: 0.7566203446876285, min values: -2.209826040384377, max values: 2.8889090019311805, median values: -0.3159488457184253, and quantile values: 0.25 -0.743087\n0.50 -0.315949\n0.75 0.273334\nName: 865, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10985018241160521, std values: 0.8964382749963437, min values: -2.002421692982804, max values: 3.0, median values: 0.0786657867513237, and quantile values: 0.25 -0.599483\n0.50 0.078666\n0.75 0.751446\nName: 866, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.009591384796874065, std values: 0.8416038069975986, min values: -2.5820330744015787, max values: 4.0, median values: 0.0376826965133391, and quantile values: 0.25 -0.526582\n0.50 0.037683\n0.75 0.511842\nName: 867, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09422247154575777, std values: 0.966032231160442, min values: -2.745904427753044, max values: 5.0, median values: -0.225855258869241, and quantile values: 0.25 -0.811356\n0.50 -0.225855\n0.75 0.533382\nName: 868, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.051357128430841135, std values: 1.0754751294139204, min values: -2.5544460869462697, max values: 4.0, median values: -0.0334665114406563, and quantile values: 0.25 -0.710968\n0.50 -0.033467\n0.75 0.873112\nName: 869, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4076092318082469, std values: 0.9368005706662637, min values: -2.6117120822772133, max values: 5.0, median values: -0.5556398689486349, and quantile values: 0.25 -1.125747\n0.50 -0.555640\n0.75 0.212914\nName: 870, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42229882557674275, std values: 1.2701969709673888, min values: -2.842043939794492, max values: 3.5581019918925243, median values: 0.6436231729729498, and quantile values: 0.25 -0.199394\n0.50 0.643623\n0.75 1.235167\nName: 871, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11819812165266393, std values: 1.4904214103913276, min values: -2.9265160609644223, max values: 6.0, median values: 0.2493394472272865, and quantile values: 0.25 -1.702969\n0.50 0.249339\n0.75 0.940166\nName: 872, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6419408931459302, std values: 0.796191243673899, min values: -2.070696498607387, max values: 5.0, median values: 0.6731106818766088, and quantile values: 0.25 0.168864\n0.50 0.673111\n0.75 1.147392\nName: 873, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4634485050113514, std values: 0.9771466471575061, min values: -2.5825978442440407, max values: 6.0, median values: -0.6721406231913234, and quantile values: 0.25 -1.229511\n0.50 -0.672141\n0.75 0.152129\nName: 874, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32929073404471265, std values: 0.8292075127816217, min values: -3.0223671288921072, max values: 3.867701659180865, median values: 0.3428730345261989, and quantile values: 0.25 -0.216953\n0.50 0.342873\n0.75 0.869278\nName: 875, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21736479418684806, std values: 0.8727220560754808, min values: -2.618746139350171, max values: 3.0, median values: -0.3162469887364592, and quantile values: 0.25 -0.845985\n0.50 -0.316247\n0.75 0.332140\nName: 876, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.227690658102504, std values: 0.8973119542444753, min values: -2.109338159609067, max values: 3.110498035652072, median values: -0.3453973763718807, and quantile values: 0.25 -0.919593\n0.50 -0.345397\n0.75 0.371475\nName: 877, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3438974351955476, std values: 0.8388903668217151, min values: -2.0424002644031765, max values: 3.1106274661862763, median values: -0.4972896086609902, and quantile values: 0.25 -0.977026\n0.50 -0.497290\n0.75 0.172113\nName: 878, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3499985409090347, std values: 0.8443829961371229, min values: -2.321103531050575, max values: 4.0, median values: 0.4453074828548859, and quantile values: 0.25 -0.228512\n0.50 0.445307\n0.75 0.935506\nName: 879, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.013167683476841186, std values: 0.8680282046113865, min values: -2.537573835824454, max values: 6.0, median values: 0.0336042854561923, and quantile values: 0.25 -0.610068\n0.50 0.033604\n0.75 0.569920\nName: 880, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.003261548793760678, std values: 0.7976463273375469, min values: -2.673549169958716, max values: 6.0, median values: 0.0767999567786655, and quantile values: 0.25 -0.445946\n0.50 0.076800\n0.75 0.487187\nName: 881, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.025295832061554162, std values: 0.9969929078111417, min values: -2.476285024008804, max values: 3.9048392686725855, median values: -0.1096606206251736, and quantile values: 0.25 -0.720182\n0.50 -0.109661\n0.75 0.647218\nName: 882, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33347887383747893, std values: 1.0637132225831336, min values: -2.57895707818966, max values: 6.0, median values: 0.4042552222197674, and quantile values: 0.25 -0.426893\n0.50 0.404255\n0.75 1.223194\nName: 883, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23156471755620484, std values: 0.796491108916826, min values: -2.783691185534105, max values: 2.936634214427119, median values: 0.3010026517771224, and quantile values: 0.25 -0.308554\n0.50 0.301003\n0.75 0.765952\nName: 884, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2885609394773755, std values: 1.0945762161767874, min values: -2.212004168819108, max values: 3.247416277295021, median values: 0.2761900723969367, and quantile values: 0.25 -0.585082\n0.50 0.276190\n0.75 1.247672\nName: 885, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8917069339396314, std values: 1.2117548189573548, min values: -2.2398683045325223, max values: 3.709787027503053, median values: 0.8666880729091471, and quantile values: 0.25 -0.022313\n0.50 0.866688\n0.75 1.891493\nName: 886, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22038503156523837, std values: 0.8737921192177694, min values: -2.300042081328127, max values: 4.0, median values: -0.2954677614422425, and quantile values: 0.25 -0.908878\n0.50 -0.295468\n0.75 0.405780\nName: 887, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13294911771999388, std values: 1.0377809999401375, min values: -2.947062251106049, max values: 3.5427287984042666, median values: 0.0854205592239419, and quantile values: 0.25 -0.599314\n0.50 0.085421\n0.75 0.826220\nName: 888, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04575194523905561, std values: 0.9375383618221546, min values: -2.634919142586459, max values: 6.0, median values: -0.0368308831981269, and quantile values: 0.25 -0.639167\n0.50 -0.036831\n0.75 0.558179\nName: 889, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1963382826586256, std values: 0.8182839587948131, min values: -2.0884920198234647, max values: 3.667275230673496, median values: 0.1540900858871952, and quantile values: 0.25 -0.329992\n0.50 0.154090\n0.75 0.677177\nName: 890, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06295718694210607, std values: 1.1213454003298933, min values: -2.1362213752422896, max values: 4.0, median values: -0.1816082508364621, and quantile values: 0.25 -0.812823\n0.50 -0.181608\n0.75 0.840430\nName: 891, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4286247893987564, std values: 1.1954277796347086, min values: -2.58513369695146, max values: 4.0, median values: 0.5487031451587453, and quantile values: 0.25 -0.309124\n0.50 0.548703\n0.75 1.281865\nName: 892, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22503434624992577, std values: 0.8057984187782236, min values: -2.0210150587876674, max values: 6.0, median values: 0.2721900765024566, and quantile values: 0.25 -0.343206\n0.50 0.272190\n0.75 0.806133\nName: 893, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4774422756883248, std values: 1.0550580871108743, min values: -2.083555534231988, max values: 3.630507857092792, median values: 0.5240046278530683, and quantile values: 0.25 -0.317611\n0.50 0.524005\n0.75 1.346924\nName: 894, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4077625539213827, std values: 0.9944023531783299, min values: -2.1165253231698347, max values: 3.9905524164385566, median values: 0.490484979680291, and quantile values: 0.25 -0.310364\n0.50 0.490485\n0.75 1.095875\nName: 895, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17778130124764185, std values: 0.9544299269417446, min values: -2.7825548156447035, max values: 6.0, median values: -0.1555730951425758, and quantile values: 0.25 -0.912004\n0.50 -0.155573\n0.75 0.432016\nName: 896, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23306578862940683, std values: 0.7909117051282082, min values: -2.140398613737501, max values: 5.0, median values: -0.2234545941313608, and quantile values: 0.25 -0.813942\n0.50 -0.223455\n0.75 0.303972\nName: 897, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45075429269081707, std values: 0.9881484087473587, min values: -2.919359491767569, max values: 5.0, median values: -0.4525011489246523, and quantile values: 0.25 -1.157443\n0.50 -0.452501\n0.75 0.243748\nName: 898, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04637398171305208, std values: 0.7749265789840809, min values: -1.9906693637114885, max values: 4.0, median values: -0.0122002183359659, and quantile values: 0.25 -0.565707\n0.50 -0.012200\n0.75 0.421918\nName: 899, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3287740625841545, std values: 0.8661136272362824, min values: -2.609385158408876, max values: 4.0, median values: -0.4098199430470001, and quantile values: 0.25 -0.880297\n0.50 -0.409820\n0.75 0.193985\nName: 900, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4086960944170639, std values: 0.9442793937781241, min values: -2.5743883495350026, max values: 5.0, median values: -0.5191623237746334, and quantile values: 0.25 -1.105124\n0.50 -0.519162\n0.75 0.217783\nName: 901, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1608798542494122, std values: 0.7970901358187422, min values: -1.9922697996330585, max values: 3.1801075704642923, median values: 0.1361763007360487, and quantile values: 0.25 -0.337139\n0.50 0.136176\n0.75 0.652736\nName: 902, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4232357096085764, std values: 0.8709309779629697, min values: -2.439930808627264, max values: 4.0, median values: 0.5112498574872664, and quantile values: 0.25 -0.179860\n0.50 0.511250\n0.75 1.031498\nName: 903, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2842503115733829, std values: 1.0916905031923567, min values: -2.610097161345549, max values: 4.0, median values: -0.1264737133772672, and quantile values: 0.25 -0.976722\n0.50 -0.126474\n0.75 0.548346\nName: 904, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5196752329726468, std values: 0.8346190807581825, min values: -1.9012402590752744, max values: 3.405671179043623, median values: 0.5842324354454242, and quantile values: 0.25 -0.016139\n0.50 0.584232\n0.75 1.072935\nName: 905, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1020681630984935, std values: 0.8580769630563421, min values: -2.2477784840641744, max values: 4.0, median values: -0.1120435984575339, and quantile values: 0.25 -0.704671\n0.50 -0.112044\n0.75 0.427165\nName: 906, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11595396598183653, std values: 0.7707271675141342, min values: -2.1548749249906303, max values: 5.0, median values: 0.1063919636978233, and quantile values: 0.25 -0.400254\n0.50 0.106392\n0.75 0.582861\nName: 907, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38084519360717495, std values: 0.7954531972260889, min values: -2.783691185534105, max values: 3.260388056018088, median values: 0.5102020588947862, and quantile values: 0.25 -0.149877\n0.50 0.510202\n0.75 0.958359\nName: 908, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2714299503703448, std values: 0.8595869248727359, min values: -2.7016525309724218, max values: 3.5021977227593246, median values: -0.3567325654454342, and quantile values: 0.25 -0.870584\n0.50 -0.356733\n0.75 0.254798\nName: 909, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.068381847129134, std values: 0.7897777255883469, min values: -2.0195598136714588, max values: 5.0, median values: -0.0881019465081169, and quantile values: 0.25 -0.610381\n0.50 -0.088102\n0.75 0.392772\nName: 910, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6401198428655914, std values: 0.8695230995898475, min values: -2.684072796644972, max values: 6.0, median values: -0.7457061967180868, and quantile values: 0.25 -1.197663\n0.50 -0.745706\n0.75 -0.115379\nName: 911, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13046636910718454, std values: 1.0951728737719468, min values: -3.21990804472754, max values: 5.0, median values: -0.185404922152036, and quantile values: 0.25 -0.915884\n0.50 -0.185405\n0.75 0.660594\nName: 912, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16310270561806403, std values: 1.100573502316543, min values: -2.92272757463548, max values: 6.0, median values: 0.001707438239287, and quantile values: 0.25 -0.764476\n0.50 0.001707\n0.75 0.560500\nName: 913, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03299068421752093, std values: 0.7929747379651045, min values: -2.0965109964186563, max values: 5.0, median values: -0.0140393568401906, and quantile values: 0.25 -0.577590\n0.50 -0.014039\n0.75 0.479744\nName: 914, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.030800640134923847, std values: 0.9769689430033802, min values: -2.087432639025188, max values: 4.0, median values: 0.0428642936046639, and quantile values: 0.25 -0.710685\n0.50 0.042864\n0.75 0.741875\nName: 915, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.013751017753252695, std values: 1.0800619866145105, min values: -2.363112660485232, max values: 4.0, median values: -0.225114875108209, and quantile values: 0.25 -0.832045\n0.50 -0.225115\n0.75 0.702272\nName: 916, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3277195340766638, std values: 0.9027582073683144, min values: -2.8246479422601736, max values: 5.0, median values: -0.3524639186967104, and quantile values: 0.25 -0.904013\n0.50 -0.352464\n0.75 0.196595\nName: 917, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0836862374753668, std values: 0.8630652320228103, min values: -2.5631847770497496, max values: 4.0, median values: 0.180551142679452, and quantile values: 0.25 -0.570234\n0.50 0.180551\n0.75 0.694490\nName: 918, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2577789888918901, std values: 0.7971225568425091, min values: -2.0674071195661057, max values: 3.0, median values: -0.3132916416515216, and quantile values: 0.25 -0.794089\n0.50 -0.313292\n0.75 0.194671\nName: 919, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1900420788800412, std values: 0.8618969070472378, min values: -2.142854198138545, max values: 5.0, median values: -0.3360381403718231, and quantile values: 0.25 -0.805248\n0.50 -0.336038\n0.75 0.370124\nName: 920, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20313442848648885, std values: 0.8258911798625453, min values: -2.5825978442440407, max values: 6.0, median values: -0.1943497931257597, and quantile values: 0.25 -0.803845\n0.50 -0.194350\n0.75 0.371390\nName: 921, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12942226249665287, std values: 0.8724060821922668, min values: -2.4564928597243227, max values: 4.0, median values: 0.1891885173009573, and quantile values: 0.25 -0.500845\n0.50 0.189189\n0.75 0.753657\nName: 922, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0577321773906784, std values: 1.3035828251390644, min values: -2.623568901859613, max values: 4.0, median values: 0.3631221944985538, and quantile values: 0.25 -0.767578\n0.50 0.363122\n0.75 1.048057\nName: 923, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14750756248396743, std values: 0.9111385819674159, min values: -2.620939317041317, max values: 4.0, median values: 0.221455980885143, and quantile values: 0.25 -0.449257\n0.50 0.221456\n0.75 0.754537\nName: 924, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.391715871381028, std values: 0.8630802584081739, min values: -1.9634535569432496, max values: 5.0, median values: 0.4445777668912952, and quantile values: 0.25 -0.201564\n0.50 0.444578\n0.75 1.029651\nName: 925, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06833552274556742, std values: 0.7797286067294787, min values: -1.9878938033360591, max values: 3.4758930087721422, median values: -0.0197124532969076, and quantile values: 0.25 -0.494113\n0.50 -0.019712\n0.75 0.598861\nName: 926, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.039018721391486086, std values: 1.0226908301415605, min values: -4.243835016543869, max values: 3.281452258958016, median values: -0.1603114653748738, and quantile values: 0.25 -0.724723\n0.50 -0.160311\n0.75 0.756533\nName: 927, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12269377912194318, std values: 0.9413710101578007, min values: -2.673124659932621, max values: 6.0, median values: -0.0253113311157813, and quantile values: 0.25 -0.647831\n0.50 -0.025311\n0.75 0.466527\nName: 928, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16995136756374904, std values: 0.9391890097770532, min values: -2.8121055320525654, max values: 5.0, median values: -0.2225702946760316, and quantile values: 0.25 -0.700519\n0.50 -0.222570\n0.75 0.420059\nName: 929, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2530733506104259, std values: 0.9592870237976668, min values: -2.955641696055872, max values: 3.721862465295849, median values: -0.2309716211038569, and quantile values: 0.25 -0.786274\n0.50 -0.230972\n0.75 0.308802\nName: 930, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5011596957646733, std values: 0.8062978643120019, min values: -2.6685266729136536, max values: 6.0, median values: 0.5799261750798311, and quantile values: 0.25 -0.008863\n0.50 0.579926\n0.75 1.066639\nName: 931, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3031541749734337, std values: 0.8812653445060481, min values: -2.110869107491898, max values: 6.0, median values: 0.3709443630923671, and quantile values: 0.25 -0.303075\n0.50 0.370944\n0.75 0.896605\nName: 932, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39818026493733016, std values: 0.8543843275633378, min values: -2.841647375415054, max values: 2.876502173242564, median values: 0.4889858976459423, and quantile values: 0.25 -0.201347\n0.50 0.488986\n0.75 0.999441\nName: 933, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9922357602851998, std values: 1.373926193771444, min values: -2.727901130262228, max values: 4.0, median values: -1.805363972452768, and quantile values: 0.25 -2.159962\n0.50 -1.805364\n0.75 0.324193\nName: 934, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10467287038970767, std values: 0.9539906180909292, min values: -2.7825548156447035, max values: 6.0, median values: 0.0475783380594937, and quantile values: 0.25 -0.645646\n0.50 0.047578\n0.75 0.754225\nName: 935, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7370368024571105, std values: 0.9300973970334532, min values: -2.92272757463548, max values: 6.0, median values: -0.7344253872385178, and quantile values: 0.25 -1.364964\n0.50 -0.734425\n0.75 -0.148875\nName: 936, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05964610478757317, std values: 0.8843564505864077, min values: -2.1098479262714123, max values: 5.0, median values: -0.1431929802121739, and quantile values: 0.25 -0.663639\n0.50 -0.143193\n0.75 0.500252\nName: 937, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24055181633676528, std values: 0.7499716194694801, min values: -2.061633117855348, max values: 3.867701659180865, median values: -0.3263758606753258, and quantile values: 0.25 -0.750239\n0.50 -0.326376\n0.75 0.199153\nName: 938, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.46351436378905064, std values: 0.9276834452712129, min values: -2.537573835824454, max values: 6.0, median values: 0.4510318405341507, and quantile values: 0.25 -0.227805\n0.50 0.451032\n0.75 1.170790\nName: 939, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0867109582104177, std values: 1.2687549249447252, min values: -2.727901130262228, max values: 4.0, median values: -1.6842246352128796, and quantile values: 0.25 -2.140406\n0.50 -1.684225\n0.75 -0.038482\nName: 940, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10728978419109536, std values: 0.858730581844482, min values: -2.174843621473063, max values: 5.0, median values: -0.1842519120336303, and quantile values: 0.25 -0.799673\n0.50 -0.184252\n0.75 0.514458\nName: 941, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4139169286275621, std values: 0.8467106005808958, min values: -2.5039074859839925, max values: 4.0, median values: 0.4557501558484344, and quantile values: 0.25 -0.140997\n0.50 0.455750\n0.75 1.008014\nName: 942, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2795036586372307, std values: 1.0311428844294528, min values: -2.580492024304656, max values: 4.0, median values: 0.2608333169551825, and quantile values: 0.25 -0.507005\n0.50 0.260833\n0.75 1.110159\nName: 943, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07392972465262747, std values: 0.8950184580326904, min values: -2.5039074859839925, max values: 4.0, median values: -0.1234724184770678, and quantile values: 0.25 -0.798449\n0.50 -0.123472\n0.75 0.574466\nName: 944, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29268753063887365, std values: 1.1047168019187188, min values: -2.5624611946462936, max values: 5.0, median values: 0.2229821761709224, and quantile values: 0.25 -0.398047\n0.50 0.222982\n0.75 1.036245\nName: 945, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.651416900711612, std values: 0.9626711296921119, min values: -3.5073564001364024, max values: 3.0362913622068968, median values: -0.7504585835625108, and quantile values: 0.25 -1.440822\n0.50 -0.750459\n0.75 0.039970\nName: 946, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39754544311407547, std values: 1.1267657989416773, min values: -3.3364384128287203, max values: 3.2696814875916886, median values: -0.2971407664509214, and quantile values: 0.25 -1.011224\n0.50 -0.297141\n0.75 0.370453\nName: 947, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4963907662815833, std values: 1.376695959321717, min values: -2.8327898928872086, max values: 4.0, median values: 0.6727550010923563, and quantile values: 0.25 -0.358179\n0.50 0.672755\n0.75 1.579833\nName: 948, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09694383814401625, std values: 1.0129974537424775, min values: -2.64479559868397, max values: 6.0, median values: 0.0056250417264592, and quantile values: 0.25 -0.640386\n0.50 0.005625\n0.75 0.549691\nName: 949, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22620253358946749, std values: 0.9673552070027834, min values: -2.933035609461076, max values: 5.0, median values: 0.260092590364297, and quantile values: 0.25 -0.382712\n0.50 0.260093\n0.75 0.941924\nName: 950, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09630534661779008, std values: 0.9843613876327278, min values: -2.1301704007793827, max values: 3.216771431244405, median values: -0.0218955032544888, and quantile values: 0.25 -0.615886\n0.50 -0.021896\n0.75 0.705209\nName: 951, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5384019112099768, std values: 1.0164828541903939, min values: -2.6820581866633817, max values: 3.5581019918925243, median values: 0.4984741891177122, and quantile values: 0.25 -0.022061\n0.50 0.498474\n0.75 1.142248\nName: 952, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2307129949639557, std values: 0.8365355242245094, min values: -2.710223074556336, max values: 4.0, median values: -0.273362184204973, and quantile values: 0.25 -0.876682\n0.50 -0.273362\n0.75 0.395198\nName: 953, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.46443630145164727, std values: 0.8774637848567768, min values: -1.966205087550403, max values: 6.0, median values: 0.5021883355180209, and quantile values: 0.25 -0.144365\n0.50 0.502188\n0.75 1.137292\nName: 954, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32666742442210006, std values: 1.002432524479155, min values: -2.92272757463548, max values: 6.0, median values: -0.1744612695332865, and quantile values: 0.25 -0.866419\n0.50 -0.174461\n0.75 0.355295\nName: 955, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07269535225507297, std values: 0.8824737633507421, min values: -2.56026492390943, max values: 5.0, median values: 0.0674121829714252, and quantile values: 0.25 -0.546122\n0.50 0.067412\n0.75 0.674594\nName: 956, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14163480262371295, std values: 0.7136045577163457, min values: -2.45229857681487, max values: 3.071284484560209, median values: -0.1919929245124637, and quantile values: 0.25 -0.613231\n0.50 -0.191993\n0.75 0.276362\nName: 957, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.004568899466190467, std values: 1.025807411965954, min values: -2.8843374390620142, max values: 6.0, median values: -0.0730956580468288, and quantile values: 0.25 -0.816875\n0.50 -0.073096\n0.75 0.738454\nName: 958, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04698691983528145, std values: 1.670721293045526, min values: -2.944950884974346, max values: 3.135426854633533, median values: 0.0334017647059017, and quantile values: 0.25 -1.759267\n0.50 0.033402\n0.75 1.393242\nName: 959, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1529671111448041, std values: 0.9216794681332129, min values: -2.5682675825126706, max values: 5.0, median values: -0.267092095087668, and quantile values: 0.25 -0.817495\n0.50 -0.267092\n0.75 0.416267\nName: 960, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23702312686542307, std values: 0.8120639422621131, min values: -2.3051489257282016, max values: 5.0, median values: 0.1844244253656934, and quantile values: 0.25 -0.282493\n0.50 0.184424\n0.75 0.743274\nName: 961, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17634702458724644, std values: 0.9062066192398821, min values: -3.05087304133376, max values: 5.0, median values: 0.1697656237004988, and quantile values: 0.25 -0.332069\n0.50 0.169766\n0.75 0.667453\nName: 962, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19604329647332389, std values: 1.2362833094703032, min values: -2.7211321814067784, max values: 3.496479817235339, median values: 0.4408803382394916, and quantile values: 0.25 -0.484119\n0.50 0.440880\n0.75 1.109899\nName: 963, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3215467323223755, std values: 1.010494590118661, min values: -2.687115288423959, max values: 5.0, median values: 0.3079838418582447, and quantile values: 0.25 -0.358230\n0.50 0.307984\n0.75 1.023806\nName: 964, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49977159282693573, std values: 1.069447450294603, min values: -2.469941537133514, max values: 4.0, median values: 0.525279345469519, and quantile values: 0.25 -0.312546\n0.50 0.525279\n0.75 1.398483\nName: 965, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06917857306391119, std values: 1.0012713777790394, min values: -2.8998169811239416, max values: 3.438667023696733, median values: -0.116035132839511, and quantile values: 0.25 -0.888720\n0.50 -0.116035\n0.75 0.638124\nName: 966, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.057046394665517655, std values: 0.892596864986441, min values: -2.8246479422601736, max values: 6.0, median values: 0.0504101055667482, and quantile values: 0.25 -0.464764\n0.50 0.050410\n0.75 0.611763\nName: 967, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12818281484274913, std values: 0.8539836951648111, min values: -3.066111439712689, max values: 3.163266084685921, median values: 0.0413012181697138, and quantile values: 0.25 -0.482293\n0.50 0.041301\n0.75 0.661992\nName: 968, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.001297372299056171, std values: 0.7946600506601553, min values: -2.0173333848714066, max values: 3.0, median values: -0.0306560564864903, and quantile values: 0.25 -0.533409\n0.50 -0.030656\n0.75 0.508074\nName: 969, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1689907316988285, std values: 0.7907461084686471, min values: -2.138226655046297, max values: 5.0, median values: 0.1295761422300204, and quantile values: 0.25 -0.362020\n0.50 0.129576\n0.75 0.672348\nName: 970, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42153656353750574, std values: 0.8633604178942537, min values: -2.497627580948261, max values: 3.0, median values: -0.4106552939153788, and quantile values: 0.25 -0.945277\n0.50 -0.410655\n0.75 0.081843\nName: 971, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.033537418201790674, std values: 0.9498006216297616, min values: -2.673549169958716, max values: 6.0, median values: 0.0486353425302018, and quantile values: 0.25 -0.644482\n0.50 0.048635\n0.75 0.603533\nName: 972, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03775648303600037, std values: 1.033764460562275, min values: -2.5201815750705507, max values: 4.0, median values: 0.0837165614840095, and quantile values: 0.25 -0.719147\n0.50 0.083717\n0.75 0.812692\nName: 973, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.013040400854528972, std values: 1.0888405394561702, min values: -2.8246479422601736, max values: 6.0, median values: -0.0344584986911564, and quantile values: 0.25 -0.658636\n0.50 -0.034458\n0.75 0.756549\nName: 974, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10322847434507565, std values: 0.9127110778275118, min values: -2.5743883495350026, max values: 5.0, median values: -0.1588512857229918, and quantile values: 0.25 -0.746743\n0.50 -0.158851\n0.75 0.513055\nName: 975, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6111647505277298, std values: 0.8686220066541467, min values: -2.8843374390620142, max values: 6.0, median values: 0.5910749615220442, and quantile values: 0.25 0.045607\n0.50 0.591075\n0.75 1.211545\nName: 976, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07256170934020485, std values: 1.000585113540075, min values: -2.769191083399913, max values: 3.241738645014612, median values: 0.0199397839022606, and quantile values: 0.25 -0.622558\n0.50 0.019940\n0.75 0.789993\nName: 977, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1933219581175172, std values: 0.7988375759733982, min values: -2.783691185534105, max values: 3.2071942083719924, median values: -0.2308637457671609, and quantile values: 0.25 -0.735399\n0.50 -0.230864\n0.75 0.322452\nName: 978, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10566130722207275, std values: 0.7553356089711749, min values: -1.878473536447133, max values: 3.1485882570365185, median values: 0.0492877794718762, and quantile values: 0.25 -0.370478\n0.50 0.049288\n0.75 0.541159\nName: 979, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2021756565870074, std values: 0.8348166357429425, min values: -2.7428415536925543, max values: 5.0, median values: -0.2252902799762401, and quantile values: 0.25 -0.685076\n0.50 -0.225290\n0.75 0.270572\nName: 980, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.338367450442649, std values: 0.9027938762118398, min values: -2.8451834694312192, max values: 3.5021977227593246, median values: 0.4433039886785304, and quantile values: 0.25 -0.300856\n0.50 0.443304\n0.75 1.030093\nName: 981, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06728732456596852, std values: 0.9659457758715786, min values: -2.4125199145038643, max values: 4.0, median values: -0.1835067507157562, and quantile values: 0.25 -0.872939\n0.50 -0.183507\n0.75 0.639225\nName: 982, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5455244064380278, std values: 0.8133198361207389, min values: -2.191559373369988, max values: 3.025409039429847, median values: 0.632584435401723, and quantile values: 0.25 0.004489\n0.50 0.632584\n0.75 1.151232\nName: 983, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04217560663104668, std values: 0.981410011634387, min values: -2.5820330744015787, max values: 4.0, median values: -0.0985572900363643, and quantile values: 0.25 -0.704459\n0.50 -0.098557\n0.75 0.595669\nName: 984, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20122156693375376, std values: 0.8902497147029247, min values: -2.1227739687253626, max values: 3.0932086550988465, median values: -0.2867661743911682, and quantile values: 0.25 -0.894898\n0.50 -0.286766\n0.75 0.392415\nName: 985, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3420193340762634, std values: 0.786310287525197, min values: -3.24173864501462, max values: 3.4217036547572275, median values: 0.3290728338217894, and quantile values: 0.25 -0.148066\n0.50 0.329073\n0.75 0.818691\nName: 986, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20144219298582844, std values: 0.7192830203397923, min values: -2.0195598136714588, max values: 6.0, median values: 0.260118106516471, and quantile values: 0.25 -0.263341\n0.50 0.260118\n0.75 0.683541\nName: 987, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42463418260089625, std values: 0.865138304165519, min values: -2.732564679617164, max values: 3.434669824302974, median values: -0.5344445546946432, and quantile values: 0.25 -1.048958\n0.50 -0.534445\n0.75 0.084665\nName: 988, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8020936881448221, std values: 0.9916255733637792, min values: -1.8015855587612604, max values: 6.0, median values: 0.79754025685598, and quantile values: 0.25 0.060447\n0.50 0.797540\n0.75 1.629496\nName: 989, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2047971488301594, std values: 0.8117292948336858, min values: -2.1940775277934668, max values: 3.236860296211547, median values: -0.2635125260894223, and quantile values: 0.25 -0.762486\n0.50 -0.263513\n0.75 0.275061\nName: 990, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07436381669358677, std values: 0.8564315768198705, min values: -2.799990485600992, max values: 5.0, median values: -0.0274876955359035, and quantile values: 0.25 -0.697593\n0.50 -0.027488\n0.75 0.514404\nName: 991, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11704701141304837, std values: 1.0137083669671247, min values: -2.657750824678472, max values: 5.0, median values: 0.1429740180537873, and quantile values: 0.25 -0.505280\n0.50 0.142974\n0.75 0.723726\nName: 992, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7106131272829123, std values: 1.2468884815081143, min values: -2.64479559868397, max values: 6.0, median values: 0.8043350639979281, and quantile values: 0.25 -0.201347\n0.50 0.804335\n0.75 1.765906\nName: 993, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2119981319141223, std values: 1.080267854005965, min values: -2.7510671817729784, max values: 6.0, median values: -0.0578372476219269, and quantile values: 0.25 -0.912689\n0.50 -0.057837\n0.75 0.563388\nName: 994, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2886151784152283, std values: 0.7681898160520867, min values: -1.9571405081795288, max values: 3.090297571450676, median values: 0.3336883782302783, and quantile values: 0.25 -0.244186\n0.50 0.333688\n0.75 0.798762\nName: 995, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1990161203570069, std values: 0.870094554179465, min values: -2.6685266729136536, max values: 6.0, median values: 0.2640562216900696, and quantile values: 0.25 -0.414737\n0.50 0.264056\n0.75 0.794252\nName: 996, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14957431274677363, std values: 0.9063413914702708, min values: -3.0390690173369013, max values: 3.135426854633533, median values: -0.0777114702452601, and quantile values: 0.25 -0.746743\n0.50 -0.077711\n0.75 0.458164\nName: 997, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3061353674412609, std values: 0.7630606020007382, min values: -2.439930808627264, max values: 4.0, median values: -0.4100896566795687, and quantile values: 0.25 -0.810821\n0.50 -0.410090\n0.75 0.140567\nName: 998, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29098547430405164, std values: 0.9343563177507535, min values: -2.5682675825126706, max values: 5.0, median values: 0.4194235528177977, and quantile values: 0.25 -0.360422\n0.50 0.419424\n0.75 1.000354\nName: 999, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12935234266559606, std values: 1.2811765709874259, min values: -2.9265160609644223, max values: 6.0, median values: 0.1163071067321094, and quantile values: 0.25 -0.756093\n0.50 0.116307\n0.75 0.723726\nName: 1000, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16587359315502612, std values: 0.9464438019290097, min values: -2.8350118695332047, max values: 5.0, median values: -0.1949119012085572, and quantile values: 0.25 -0.956573\n0.50 -0.194912\n0.75 0.499410\nName: 1001, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5094496878661289, std values: 1.0374802624220254, min values: -3.074005993202373, max values: 3.3014869995452325, median values: -0.6192034979341567, and quantile values: 0.25 -1.384860\n0.50 -0.619203\n0.75 0.174837\nName: 1002, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12326090578503121, std values: 1.0517785840034526, min values: -2.815821936576896, max values: 3.060952636712705, median values: 0.1570667201898097, and quantile values: 0.25 -0.410475\n0.50 0.157067\n0.75 0.815727\nName: 1003, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2137183401184531, std values: 0.7799616173960174, min values: -1.9655522414178512, max values: 3.4758930087721422, median values: -0.2792846728059676, and quantile values: 0.25 -0.801521\n0.50 -0.279285\n0.75 0.291188\nName: 1004, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13598874231422164, std values: 1.006801225339306, min values: -2.609385158408876, max values: 4.0, median values: 0.2631703944525045, and quantile values: 0.25 -0.394770\n0.50 0.263170\n0.75 0.763812\nName: 1005, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2798690861186323, std values: 0.8594606068120039, min values: -2.641174291463747, max values: 6.0, median values: -0.2927686829749366, and quantile values: 0.25 -0.813679\n0.50 -0.292769\n0.75 0.237617\nName: 1006, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.015079034433251069, std values: 0.7937221953505117, min values: -1.9581812766775315, max values: 2.85639829253406, median values: -0.1185307769156518, and quantile values: 0.25 -0.591106\n0.50 -0.118531\n0.75 0.531904\nName: 1007, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10128965946721437, std values: 0.9861847292124256, min values: -3.074005993202373, max values: 3.4758930087721422, median values: 0.2402919884231852, and quantile values: 0.25 -0.485947\n0.50 0.240292\n0.75 0.802866\nName: 1008, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35291464354413216, std values: 1.1460885691077922, min values: -2.6278943940336483, max values: 4.0, median values: -0.236693173665613, and quantile values: 0.25 -1.279488\n0.50 -0.236693\n0.75 0.502376\nName: 1009, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4975677157276739, std values: 0.8580963621259181, min values: -2.7648443048846945, max values: 3.569037956734876, median values: -0.6786049248528133, and quantile values: 0.25 -1.126266\n0.50 -0.678605\n0.75 -0.036452\nName: 1010, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.8453969817115274, std values: 1.1446045677923327, min values: -2.982771139679002, max values: 4.0, median values: -2.1275072086752065, and quantile values: 0.25 -2.421206\n0.50 -2.127507\n0.75 -1.867810\nName: 1011, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1292688312918261, std values: 0.8999375451329029, min values: -3.12109453895821, max values: 2.8889090019311805, median values: -0.002434356364342, and quantile values: 0.25 -0.614715\n0.50 -0.002434\n0.75 0.450800\nName: 1012, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8776174671770488, std values: 0.924663146581424, min values: -2.783691185534105, max values: 3.528773265847577, median values: 0.9683454036195566, and quantile values: 0.25 0.257501\n0.50 0.968345\n0.75 1.599093\nName: 1013, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11681412764217773, std values: 1.0331569606306408, min values: -2.605844844843939, max values: 4.0, median values: -0.1150460690561966, and quantile values: 0.25 -0.747908\n0.50 -0.115046\n0.75 0.574940\nName: 1014, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0026167703075034615, std values: 1.1775890620739045, min values: -2.869671295224012, max values: 6.0, median values: 0.0334017647059017, and quantile values: 0.25 -0.688427\n0.50 0.033402\n0.75 0.876786\nName: 1015, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17475306273437785, std values: 0.8007543179816877, min values: -2.100754849305273, max values: 3.667275230673496, median values: 0.201370728851404, and quantile values: 0.25 -0.364491\n0.50 0.201371\n0.75 0.680865\nName: 1016, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.059812948561350034, std values: 1.00462551189921, min values: -2.7510671817729784, max values: 6.0, median values: 0.022951118608734, and quantile values: 0.25 -0.566521\n0.50 0.022951\n0.75 0.556992\nName: 1017, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4784035450848885, std values: 0.923781735648272, min values: -2.693453432157769, max values: 3.4566816047670264, median values: 0.4235465961198351, and quantile values: 0.25 -0.084204\n0.50 0.423547\n0.75 1.076857\nName: 1018, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8398267453265876, std values: 1.1561082501935713, min values: -2.2423374092797945, max values: 3.438667023696733, median values: 0.7194684414083398, and quantile values: 0.25 -0.038923\n0.50 0.719468\n0.75 1.829346\nName: 1019, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04469997770089708, std values: 0.9213523574793193, min values: -2.013555225015544, max values: 6.0, median values: -0.0883784138801361, and quantile values: 0.25 -0.621121\n0.50 -0.088378\n0.75 0.647277\nName: 1020, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0018824107508669742, std values: 1.0210927584534828, min values: -2.542889966859849, max values: 6.0, median values: -0.0868026397049537, and quantile values: 0.25 -0.794381\n0.50 -0.086803\n0.75 0.677120\nName: 1021, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7150585742340895, std values: 0.8439200064538589, min values: -1.9536230018109555, max values: 6.0, median values: 0.8132508968943524, and quantile values: 0.25 0.171981\n0.50 0.813251\n0.75 1.274960\nName: 1022, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05964679962786624, std values: 1.1657562061449982, min values: -2.93129584560762, max values: 6.0, median values: -0.0382499531682663, and quantile values: 0.25 -0.993925\n0.50 -0.038250\n0.75 0.800686\nName: 1023, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3147449151207436, std values: 1.241356967528338, min values: -2.6320986139293034, max values: 3.0, median values: -0.3430889663177214, and quantile values: 0.25 -1.356398\n0.50 -0.343089\n0.75 0.632484\nName: 1024, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2717626609384978, std values: 0.8182048211527666, min values: -2.560041333834972, max values: 3.518664430018096, median values: -0.4130568934289282, and quantile values: 0.25 -0.862566\n0.50 -0.413057\n0.75 0.229941\nName: 1025, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31620960922039076, std values: 0.8728641199334225, min values: -2.5631847770497496, max values: 4.0, median values: -0.4362331954487439, and quantile values: 0.25 -0.962427\n0.50 -0.436233\n0.75 0.242811\nName: 1026, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3403502784941586, std values: 0.8734362989372869, min values: -2.045960343889241, max values: 5.0, median values: -0.4255660507249356, and quantile values: 0.25 -1.059422\n0.50 -0.425566\n0.75 0.262980\nName: 1027, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17033671925533672, std values: 0.8804653844454189, min values: -2.4823451998031074, max values: 3.197902420311553, median values: 0.1629244814354345, and quantile values: 0.25 -0.300854\n0.50 0.162924\n0.75 0.704572\nName: 1028, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.47578766898357727, std values: 0.8204160928595142, min values: -2.103801947435861, max values: 5.0, median values: -0.6178181288418054, and quantile values: 0.25 -1.090534\n0.50 -0.617818\n0.75 0.055713\nName: 1029, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15865545549819138, std values: 0.7505838030709537, min values: -2.0933077918561027, max values: 4.0, median values: 0.2185019543030407, and quantile values: 0.25 -0.344101\n0.50 0.218502\n0.75 0.652590\nName: 1030, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.258301776540267, std values: 0.871618681229617, min values: -2.0228420875355884, max values: 4.243835016543704, median values: 0.2402676617138798, and quantile values: 0.25 -0.386270\n0.50 0.240268\n0.75 0.921037\nName: 1031, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21361127032259022, std values: 0.803066290517984, min values: -2.446475285346346, max values: 3.236860296211547, median values: -0.2742485116584481, and quantile values: 0.25 -0.817880\n0.50 -0.274249\n0.75 0.328670\nName: 1032, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01437672075474819, std values: 0.8768140509053434, min values: -2.209826040384377, max values: 3.5908526919299577, median values: 0.0199673286981779, and quantile values: 0.25 -0.622155\n0.50 0.019967\n0.75 0.504689\nName: 1033, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09681513044474735, std values: 1.2413869173177001, min values: -2.873069976951463, max values: 3.2936960268109283, median values: 0.1942134042249033, and quantile values: 0.25 -0.524306\n0.50 0.194213\n0.75 0.899387\nName: 1034, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1480821499977508, std values: 0.794576969177724, min values: -2.033611600779362, max values: 5.0, median values: 0.1827439855960831, and quantile values: 0.25 -0.373873\n0.50 0.182744\n0.75 0.678714\nName: 1035, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.024912309753464874, std values: 1.0822752305315644, min values: -2.947062251106049, max values: 3.5021977227593246, median values: 0.0755130422374115, and quantile values: 0.25 -0.590516\n0.50 0.075513\n0.75 0.685763\nName: 1036, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33361922758824203, std values: 0.8756566569992733, min values: -2.5207478494948674, max values: 5.0, median values: -0.4754364219427564, and quantile values: 0.25 -0.963329\n0.50 -0.475436\n0.75 0.157726\nName: 1037, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0001528397121823186, std values: 0.8992942508449057, min values: -2.688157591415518, max values: 5.0, median values: 0.051498705102303, and quantile values: 0.25 -0.666869\n0.50 0.051499\n0.75 0.671140\nName: 1038, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4348928147939033, std values: 0.8614052587803895, min values: -2.6685266729136536, max values: 6.0, median values: -0.5863530717162979, and quantile values: 0.25 -1.064501\n0.50 -0.586353\n0.75 0.094684\nName: 1039, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1365180992817142, std values: 0.8700344496794199, min values: -2.687115288423959, max values: 5.0, median values: 0.0393379588277736, and quantile values: 0.25 -0.509365\n0.50 0.039338\n0.75 0.779688\nName: 1040, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.012409448390859789, std values: 0.8996995781044307, min values: -2.5422910691068967, max values: 3.5427287984042666, median values: -0.0782153475333174, and quantile values: 0.25 -0.699221\n0.50 -0.078215\n0.75 0.586746\nName: 1041, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10575005529286463, std values: 0.8149455957458395, min values: -2.300042081328127, max values: 4.0, median values: 0.0298311684978546, and quantile values: 0.25 -0.416757\n0.50 0.029831\n0.75 0.602399\nName: 1042, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04451260713991093, std values: 0.9150103196855286, min values: -2.5953860446419177, max values: 5.0, median values: 0.0649006146849218, and quantile values: 0.25 -0.510516\n0.50 0.064901\n0.75 0.618602\nName: 1043, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29977940914356005, std values: 0.8110999134377573, min values: -2.58435620939219, max values: 3.1106274661862763, median values: -0.2849875209883556, and quantile values: 0.25 -0.900585\n0.50 -0.284988\n0.75 0.214034\nName: 1044, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3218838339962433, std values: 1.1598036988658271, min values: -2.684072796644972, max values: 6.0, median values: -0.1871373761148798, and quantile values: 0.25 -1.159713\n0.50 -0.187137\n0.75 0.561775\nName: 1045, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5128893011052804, std values: 0.8709766121626712, min values: -2.7428415536925543, max values: 3.9048392686725855, median values: 0.5799913410765917, and quantile values: 0.25 -0.041561\n0.50 0.579991\n0.75 1.081693\nName: 1046, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2267223034824867, std values: 0.8741938793541265, min values: -2.5825978442440407, max values: 6.0, median values: -0.3687916691524375, and quantile values: 0.25 -0.852604\n0.50 -0.368792\n0.75 0.327823\nName: 1047, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2536793159624275, std values: 0.9658949749471543, min values: -2.1165037606107773, max values: 5.0, median values: -0.3813345943204035, and quantile values: 0.25 -1.024678\n0.50 -0.381335\n0.75 0.427557\nName: 1048, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07610895151425923, std values: 0.902954187942358, min values: -2.419133598913117, max values: 3.528773265847577, median values: 0.1442261307919137, and quantile values: 0.25 -0.591103\n0.50 0.144226\n0.75 0.712897\nName: 1049, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11766935302459691, std values: 0.8097252513065524, min values: -2.126457643282694, max values: 4.0, median values: -0.1731751788726748, and quantile values: 0.25 -0.679199\n0.50 -0.173175\n0.75 0.373630\nName: 1050, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18452506978149516, std values: 0.8626750122412382, min values: -1.9971846723354447, max values: 3.721862465295849, median values: 0.2008367934280839, and quantile values: 0.25 -0.427768\n0.50 0.200837\n0.75 0.768614\nName: 1051, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15902771740583277, std values: 0.7707928100540612, min values: -2.469941537133514, max values: 4.0, median values: -0.2522782957743452, and quantile values: 0.25 -0.663604\n0.50 -0.252278\n0.75 0.301448\nName: 1052, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.005376874450865816, std values: 1.0189361699998085, min values: -2.788272971802125, max values: 6.0, median values: -0.0015126088626138, and quantile values: 0.25 -0.745506\n0.50 -0.001513\n0.75 0.844575\nName: 1053, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26355270241891715, std values: 0.7688846364596358, min values: -2.196181211030292, max values: 2.72887840009294, median values: -0.3606386545178098, and quantile values: 0.25 -0.795385\n0.50 -0.360639\n0.75 0.199544\nName: 1054, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45619329705956724, std values: 0.9031126708541649, min values: -2.525362520654854, max values: 5.0, median values: 0.527505367772249, and quantile values: 0.25 -0.171358\n0.50 0.527505\n0.75 1.090891\nName: 1055, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15678246616638356, std values: 0.7939668903702142, min values: -2.6850842010492566, max values: 6.0, median values: 0.1984769206204147, and quantile values: 0.25 -0.353369\n0.50 0.198477\n0.75 0.655902\nName: 1056, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14502227161950443, std values: 0.716934536368338, min values: -2.2423374092797945, max values: 3.0, median values: 0.1635202781328846, and quantile values: 0.25 -0.308558\n0.50 0.163520\n0.75 0.576390\nName: 1057, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6620977056661105, std values: 1.0927485973874238, min values: -2.062310304625852, max values: 5.0, median values: 0.6553210953470342, and quantile values: 0.25 -0.170744\n0.50 0.655321\n0.75 1.614310\nName: 1058, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20902764274770363, std values: 0.915276869702064, min values: -2.0903611962432427, max values: 5.0, median values: -0.3479657777683799, and quantile values: 0.25 -0.851653\n0.50 -0.347966\n0.75 0.303452\nName: 1059, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3490852369304233, std values: 0.9017510273445415, min values: -2.023268385245388, max values: 5.0, median values: 0.3925085606032599, and quantile values: 0.25 -0.283096\n0.50 0.392509\n0.75 0.980387\nName: 1060, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2967594616774331, std values: 0.8635564442809286, min values: -2.687115288423959, max values: 5.0, median values: 0.3985226573742408, and quantile values: 0.25 -0.223257\n0.50 0.398523\n0.75 0.865486\nName: 1061, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.433558905733034, std values: 0.9504421225924174, min values: -2.622709665346679, max values: 5.0, median values: -0.4524957427404171, and quantile values: 0.25 -1.205508\n0.50 -0.452496\n0.75 0.235386\nName: 1062, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27387173964084344, std values: 1.070293926322112, min values: -2.92272757463548, max values: 6.0, median values: -0.1322148868075264, and quantile values: 0.25 -0.930909\n0.50 -0.132215\n0.75 0.508446\nName: 1063, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5215968565124904, std values: 0.8461347637720945, min values: -2.955641696055872, max values: 3.627976272701048, median values: -0.6058884797339948, and quantile values: 0.25 -1.077913\n0.50 -0.605888\n0.75 -0.001843\nName: 1064, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4512544954923756, std values: 1.0219301684852196, min values: -2.783691185534105, max values: 3.050873041333768, median values: 0.4594504480077432, and quantile values: 0.25 -0.326864\n0.50 0.459450\n0.75 1.292077\nName: 1065, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1827816957540609, std values: 0.7854935983798129, min values: -2.4325771588544502, max values: 3.0, median values: 0.2419598806134147, and quantile values: 0.25 -0.344521\n0.50 0.241960\n0.75 0.714879\nName: 1066, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31009204147087555, std values: 0.9876394713794666, min values: -2.0898718573687374, max values: 5.0, median values: 0.3759009763690192, and quantile values: 0.25 -0.467742\n0.50 0.375901\n0.75 1.138035\nName: 1067, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1798311651541092, std values: 0.8269604020116569, min values: -2.1073045553985543, max values: 3.667275230673496, median values: 0.2042666040490448, and quantile values: 0.25 -0.383267\n0.50 0.204267\n0.75 0.708311\nName: 1068, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18348065485779655, std values: 1.2161350905894919, min values: -2.642042398333877, max values: 3.784832159836258, median values: 0.3123149984744301, and quantile values: 0.25 -0.492994\n0.50 0.312315\n0.75 1.161981\nName: 1069, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11510195302259806, std values: 0.8346710167783404, min values: -2.1502995050841665, max values: 4.0, median values: -0.1363432852727784, and quantile values: 0.25 -0.698406\n0.50 -0.136343\n0.75 0.410389\nName: 1070, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2353928528148893, std values: 0.9457423503154079, min values: -2.6820581866633817, max values: 4.026668017837955, median values: -0.2570633462991732, and quantile values: 0.25 -0.782041\n0.50 -0.257063\n0.75 0.355584\nName: 1071, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6554353398398431, std values: 0.7419194231103228, min values: -2.3344113078233786, max values: 3.709787027503053, median values: 0.7326233616799872, and quantile values: 0.25 0.203012\n0.50 0.732623\n0.75 1.128915\nName: 1072, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25327013018176037, std values: 1.0343541174037354, min values: -2.9622221028070275, max values: 4.0, median values: 0.2752817123899451, and quantile values: 0.25 -0.254257\n0.50 0.275282\n0.75 0.921109\nName: 1073, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18167546204039187, std values: 1.01949851505453, min values: -2.6026470237163752, max values: 4.0, median values: -0.2604344464181957, and quantile values: 0.25 -1.034240\n0.50 -0.260434\n0.75 0.567372\nName: 1074, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5323815900194258, std values: 1.0801476838426984, min values: -2.739804196611005, max values: 6.0, median values: -0.4984439166524659, and quantile values: 0.25 -1.371110\n0.50 -0.498444\n0.75 0.185545\nName: 1075, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22722080847483966, std values: 0.8954806459600061, min values: -2.014499854917138, max values: 3.8226908388056136, median values: 0.2593520064524747, and quantile values: 0.25 -0.425383\n0.50 0.259352\n0.75 0.889486\nName: 1076, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2876957076688546, std values: 1.0921884086633191, min values: -2.576018450691392, max values: 4.0, median values: -0.3116500062665909, and quantile values: 0.25 -1.131788\n0.50 -0.311650\n0.75 0.508101\nName: 1077, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2670027440894549, std values: 0.9422861298523745, min values: -2.02604832249416, max values: 3.2266531185902125, median values: 0.3232864140964898, and quantile values: 0.25 -0.452130\n0.50 0.323286\n0.75 0.986103\nName: 1078, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.660113729461738, std values: 1.02896385075231, min values: -2.688157591415518, max values: 3.867701659180865, median values: 0.7567376767061722, and quantile values: 0.25 -0.036665\n0.50 0.756738\n0.75 1.428388\nName: 1079, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7395526619339018, std values: 1.0224230404997996, min values: -2.0806681251243795, max values: 3.518664430018096, median values: 0.879792636174557, and quantile values: 0.25 -0.011510\n0.50 0.879793\n0.75 1.522763\nName: 1080, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07112537092388635, std values: 0.7588372239476239, min values: -1.9894723742829257, max values: 3.191712471143802, median values: -0.114570253430742, and quantile values: 0.25 -0.571764\n0.50 -0.114570\n0.75 0.385201\nName: 1081, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35557921569932915, std values: 0.7679299539513382, min values: -1.9811206906114949, max values: 4.0, median values: -0.4533196138692386, and quantile values: 0.25 -0.904547\n0.50 -0.453320\n0.75 0.099443\nName: 1082, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2193665696400048, std values: 1.1106750732988195, min values: -2.93129584560762, max values: 6.0, median values: 0.4380209079170257, and quantile values: 0.25 -0.292021\n0.50 0.438021\n0.75 0.961076\nName: 1083, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21391598868154102, std values: 0.8395626506799375, min values: -2.406113529328762, max values: 3.0, median values: -0.2678759449304597, and quantile values: 0.25 -0.803192\n0.50 -0.267876\n0.75 0.307141\nName: 1084, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03158181914097869, std values: 0.8284708888811109, min values: -2.525881048269423, max values: 3.336438412828754, median values: 0.0353172902391248, and quantile values: 0.25 -0.576541\n0.50 0.035317\n0.75 0.667006\nName: 1085, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05958812562911269, std values: 0.8256099173558326, min values: -1.9194120518354203, max values: 5.0, median values: 0.0079864856879057, and quantile values: 0.25 -0.463138\n0.50 0.007986\n0.75 0.533818\nName: 1086, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.002081235720922653, std values: 0.7839174831428782, min values: -2.618746139350171, max values: 4.243835016543704, median values: -0.0396670108370481, and quantile values: 0.25 -0.529734\n0.50 -0.039667\n0.75 0.504720\nName: 1087, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16244713717467896, std values: 0.9251078261474334, min values: -2.58513369695146, max values: 4.0, median values: -0.0579369323299166, and quantile values: 0.25 -0.755794\n0.50 -0.057937\n0.75 0.465040\nName: 1088, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0011869192719387261, std values: 1.0346310514133128, min values: -2.5820330744015787, max values: 4.0, median values: 0.0117702549913424, and quantile values: 0.25 -0.656836\n0.50 0.011770\n0.75 0.727877\nName: 1089, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2382891634785293, std values: 0.903181649993318, min values: -2.1103582417935702, max values: 3.0, median values: 0.30944633475959, and quantile values: 0.25 -0.399836\n0.50 0.309446\n0.75 0.923967\nName: 1090, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04084715510009388, std values: 1.0412118807921016, min values: -2.0918322237798, max values: 4.0, median values: -0.1515314939349038, and quantile values: 0.25 -0.923496\n0.50 -0.151531\n0.75 0.722218\nName: 1091, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0611049522136069, std values: 0.9033927104887721, min values: -2.3051489257282016, max values: 5.0, median values: -0.1160215726417006, and quantile values: 0.25 -0.789756\n0.50 -0.116022\n0.75 0.586128\nName: 1092, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25487126274349425, std values: 0.8357010345849952, min values: -2.2915911556076085, max values: 3.0, median values: 0.2901391065879799, and quantile values: 0.25 -0.352070\n0.50 0.290139\n0.75 0.875583\nName: 1093, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1735765081712813, std values: 0.9143785053099638, min values: -2.618746139350171, max values: 3.110498035652072, median values: 0.2639402340209048, and quantile values: 0.25 -0.494860\n0.50 0.263940\n0.75 0.880766\nName: 1094, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1189954829626729, std values: 0.7680374240754991, min values: -2.001019781473294, max values: 6.0, median values: 0.0760266014799026, and quantile values: 0.25 -0.387034\n0.50 0.076027\n0.75 0.584134\nName: 1095, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1103950183594359, std values: 0.8365806723034115, min values: -2.118599024240829, max values: 4.0, median values: -0.094892949563914, and quantile values: 0.25 -0.727047\n0.50 -0.094893\n0.75 0.479479\nName: 1096, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34879282134849626, std values: 0.8637511531386988, min values: -2.7648443048846945, max values: 3.784832159836258, median values: -0.4732576919569468, and quantile values: 0.25 -0.956286\n0.50 -0.473258\n0.75 0.155238\nName: 1097, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.053870714012459735, std values: 0.7711221109436784, min values: -2.4564928597243227, max values: 4.0, median values: 0.0041033691609375, and quantile values: 0.25 -0.461790\n0.50 0.004103\n0.75 0.543839\nName: 1098, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1628197182477435, std values: 0.8790145888203077, min values: -2.6603025395856053, max values: 5.0, median values: 0.2370002980963202, and quantile values: 0.25 -0.376614\n0.50 0.237000\n0.75 0.770391\nName: 1099, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10609109204080956, std values: 0.7668422462502864, min values: -2.5689076212724418, max values: 5.0, median values: 0.1119881731940361, and quantile values: 0.25 -0.369871\n0.50 0.111988\n0.75 0.557781\nName: 1100, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20614290873300442, std values: 0.8747269314928829, min values: -2.038443584566022, max values: 4.278004674434932, median values: -0.3260019722186235, and quantile values: 0.25 -0.875340\n0.50 -0.326002\n0.75 0.343951\nName: 1101, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4686511147802923, std values: 0.7272685075409934, min values: -2.024549489264694, max values: 5.0, median values: 0.5212748103056412, and quantile values: 0.25 0.053652\n0.50 0.521275\n0.75 0.942967\nName: 1102, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1147207726928603, std values: 0.7821586313104586, min values: -2.321510952509234, max values: 2.883469967826547, median values: 0.076413748426292, and quantile values: 0.25 -0.400314\n0.50 0.076414\n0.75 0.621581\nName: 1103, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12763471409979155, std values: 1.00874691061209, min values: -2.876502173242568, max values: 3.336438412828754, median values: 0.2644535472881652, and quantile values: 0.25 -0.439943\n0.50 0.264454\n0.75 0.796943\nName: 1104, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.013230201088505181, std values: 0.874735233732972, min values: -2.4536054974529624, max values: 6.0, median values: -0.0234002948104344, and quantile values: 0.25 -0.682359\n0.50 -0.023400\n0.75 0.637777\nName: 1105, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6098868387017959, std values: 0.8856874541052508, min values: -2.634919142586459, max values: 6.0, median values: -0.7083467540594706, and quantile values: 0.25 -1.250775\n0.50 -0.708347\n0.75 -0.087346\nName: 1106, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10591091610475431, std values: 0.9265335077216671, min values: -2.6278943940336483, max values: 4.0, median values: -0.004351225193692, and quantile values: 0.25 -0.756679\n0.50 -0.004351\n0.75 0.583465\nName: 1107, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4142424767247351, std values: 0.8627839519199033, min values: -1.9125970565572288, max values: 3.434669824302974, median values: 0.5220320876488013, and quantile values: 0.25 -0.220245\n0.50 0.522032\n0.75 1.102896\nName: 1108, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0764200296995718, std values: 0.9784974742010767, min values: -2.7211321814067784, max values: 3.0, median values: 0.0533413947073384, and quantile values: 0.25 -0.621782\n0.50 0.053341\n0.75 0.639399\nName: 1109, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2984497256343803, std values: 1.0314001982662226, min values: -2.264034258932616, max values: 4.278004674434932, median values: 0.343299177575644, and quantile values: 0.25 -0.479758\n0.50 0.343299\n0.75 1.107976\nName: 1110, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.011691988011389981, std values: 0.7671739298376657, min values: -2.139311372893009, max values: 3.379902545505621, median values: 0.0273774968265393, and quantile values: 0.25 -0.494891\n0.50 0.027377\n0.75 0.514377\nName: 1111, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0427993913386992, std values: 0.8022984573632528, min values: -2.5213149333948146, max values: 3.312693232344632, median values: -0.0168285614553382, and quantile values: 0.25 -0.474265\n0.50 -0.016829\n0.75 0.510065\nName: 1112, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38497151325977, std values: 1.1262308920075341, min values: -2.6466193392086392, max values: 4.0, median values: -0.3419208486984716, and quantile values: 0.25 -1.135716\n0.50 -0.341921\n0.75 0.367819\nName: 1113, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1735532324983104, std values: 0.8728811883507389, min values: -2.160415784529872, max values: 3.336438412828754, median values: 0.161166575134791, and quantile values: 0.25 -0.459818\n0.50 0.161167\n0.75 0.781261\nName: 1114, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.053774925355819736, std values: 0.9153350912078365, min values: -2.947062251106049, max values: 3.8226908388056136, median values: -0.0343482762288909, and quantile values: 0.25 -0.632551\n0.50 -0.034348\n0.75 0.498537\nName: 1115, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26792305331720784, std values: 0.9727214540170285, min values: -2.673124659932621, max values: 6.0, median values: -0.3383647323262502, and quantile values: 0.25 -0.967114\n0.50 -0.338365\n0.75 0.377271\nName: 1116, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06380582860920021, std values: 1.3147502637600408, min values: -2.558791007225312, max values: 3.8226908388056136, median values: -0.0990247321434703, and quantile values: 0.25 -1.073670\n0.50 -0.099025\n0.75 0.874896\nName: 1117, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16546839351205883, std values: 0.8111144242916248, min values: -2.841647375415054, max values: 5.0, median values: 0.1792727058375675, and quantile values: 0.25 -0.350313\n0.50 0.179273\n0.75 0.688307\nName: 1118, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17373399318500318, std values: 0.7386651728376237, min values: -1.96213036711942, max values: 4.0, median values: 0.1345066634090464, and quantile values: 0.25 -0.334513\n0.50 0.134507\n0.75 0.643793\nName: 1119, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4383893178875628, std values: 0.775450484552119, min values: -2.267175988438518, max values: 5.0, median values: -0.4237577766963102, and quantile values: 0.25 -1.013877\n0.50 -0.423758\n0.75 0.044873\nName: 1120, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28559291117376956, std values: 1.138203607350202, min values: -2.7428415536925543, max values: 3.8226908388056136, median values: 0.1901418477135703, and quantile values: 0.25 -0.591631\n0.50 0.190142\n0.75 1.100020\nName: 1121, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6646922970235689, std values: 1.0845460001318203, min values: -2.733804248449497, max values: 3.721862465295849, median values: 0.7535663668752108, and quantile values: 0.25 -0.014459\n0.50 0.753566\n0.75 1.516994\nName: 1122, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16047040169551124, std values: 0.8443555500517853, min values: -2.507084845405409, max values: 3.197902420311553, median values: -0.1166173845814453, and quantile values: 0.25 -0.699945\n0.50 -0.116617\n0.75 0.387160\nName: 1123, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.199464544581938, std values: 0.9060077137946387, min values: -2.6404955031131814, max values: 6.0, median values: 0.2941101376816799, and quantile values: 0.25 -0.389404\n0.50 0.294110\n0.75 0.835058\nName: 1124, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7781872351134862, std values: 0.9565108898209561, min values: -2.196708653609315, max values: 6.0, median values: 0.8794616265717519, and quantile values: 0.25 0.098308\n0.50 0.879462\n0.75 1.517290\nName: 1125, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02669029800346971, std values: 0.8367655289167136, min values: -2.0600063421362025, max values: 3.17157439250477, median values: 0.0248981112221697, and quantile values: 0.25 -0.545979\n0.50 0.024898\n0.75 0.568983\nName: 1126, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17839757230635747, std values: 0.7721023747491886, min values: -2.419659473655063, max values: 4.0, median values: -0.265109549011727, and quantile values: 0.25 -0.696399\n0.50 -0.265110\n0.75 0.260264\nName: 1127, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17580307121578354, std values: 0.9149608707108686, min values: -2.041514276272496, max values: 3.721862465295849, median values: 0.0803728599425213, and quantile values: 0.25 -0.481362\n0.50 0.080373\n0.75 0.761492\nName: 1128, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5117816085421281, std values: 1.0429718749937125, min values: -2.0360128381441656, max values: 5.0, median values: 0.4767765009130338, and quantile values: 0.25 -0.278855\n0.50 0.476777\n0.75 1.329928\nName: 1129, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3197541383006892, std values: 0.9164086105081773, min values: -2.673124659932621, max values: 6.0, median values: -0.3144833837304475, and quantile values: 0.25 -0.923387\n0.50 -0.314483\n0.75 0.168704\nName: 1130, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.00937222587252635, std values: 0.9446512066875473, min values: -2.783691185534105, max values: 4.243835016543704, median values: -0.1157024352321248, and quantile values: 0.25 -0.645093\n0.50 -0.115702\n0.75 0.602768\nName: 1131, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17789354163553237, std values: 1.0937058069929682, min values: -2.6652153608723106, max values: 5.0, median values: 0.2384192466716619, and quantile values: 0.25 -0.658773\n0.50 0.238419\n0.75 1.059612\nName: 1132, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12515705242556488, std values: 1.0070066118525958, min values: -2.558791007225312, max values: 3.141939528112806, median values: -0.1682647519080308, and quantile values: 0.25 -0.896379\n0.50 -0.168265\n0.75 0.532475\nName: 1133, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09459778932156657, std values: 0.8717780638678404, min values: -2.6635706018350787, max values: 3.0, median values: 0.1676705673309677, and quantile values: 0.25 -0.536510\n0.50 0.167671\n0.75 0.756801\nName: 1134, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27770171857777937, std values: 0.7346574845460626, min values: -2.100754849305273, max values: 3.2328207660681025, median values: 0.301868307656787, and quantile values: 0.25 -0.194816\n0.50 0.301868\n0.75 0.766469\nName: 1135, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1016215314055761, std values: 0.9735357555826417, min values: -2.855306289371099, max values: 6.0, median values: -0.1669225009897816, and quantile values: 0.25 -0.792742\n0.50 -0.166923\n0.75 0.548868\nName: 1136, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.859254654505276, std values: 1.259610231727806, min values: -3.0148736195915964, max values: 4.278004674434932, median values: -2.192472334639188, and quantile values: 0.25 -2.497628\n0.50 -2.192472\n0.75 -1.934926\nName: 1137, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19539003138192995, std values: 0.7809583836865607, min values: -2.031005372878356, max values: 3.1485882570365185, median values: -0.2661614864567593, and quantile values: 0.25 -0.776843\n0.50 -0.266161\n0.75 0.314976\nName: 1138, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05242832412922051, std values: 1.082970928593538, min values: -2.607565022042742, max values: 4.0, median values: 0.1503123281721954, and quantile values: 0.25 -0.628352\n0.50 0.150312\n0.75 0.738615\nName: 1139, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3763517390861701, std values: 0.9120345911127071, min values: -2.589966702820638, max values: 6.0, median values: 0.4736795880084286, and quantile values: 0.25 -0.225601\n0.50 0.473680\n0.75 1.050598\nName: 1140, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03121780578431098, std values: 0.9532675999451188, min values: -2.9278427058120164, max values: 6.0, median values: 0.0103520978517355, and quantile values: 0.25 -0.723941\n0.50 0.010352\n0.75 0.743741\nName: 1141, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03178781248544193, std values: 1.0904781375365993, min values: -2.815821936576896, max values: 3.0, median values: 0.2417897399151019, and quantile values: 0.25 -0.456484\n0.50 0.241790\n0.75 0.729512\nName: 1142, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13106506164590154, std values: 0.7955987187186161, min values: -2.1227739687253626, max values: 3.867701659180865, median values: 0.1701009016409467, and quantile values: 0.25 -0.376535\n0.50 0.170101\n0.75 0.636184\nName: 1143, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2869250042993332, std values: 1.1222967581818357, min values: -2.955641696055872, max values: 3.867701659180865, median values: -0.3174398422629761, and quantile values: 0.25 -0.935290\n0.50 -0.317440\n0.75 0.352891\nName: 1144, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3423199419287292, std values: 1.0377415140953734, min values: -2.6404955031131814, max values: 5.0, median values: 0.5069988678227871, and quantile values: 0.25 -0.301115\n0.50 0.506999\n0.75 1.080791\nName: 1145, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5413986962472407, std values: 0.9902164239253457, min values: -1.9959705475684395, max values: 3.397048482165858, median values: 0.5293679760815433, and quantile values: 0.25 -0.202119\n0.50 0.529368\n0.75 1.365716\nName: 1146, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.037426403596087336, std values: 0.8196357813649909, min values: -2.510124273981921, max values: 3.9905524164385566, median values: 0.1253064092485175, and quantile values: 0.25 -0.449100\n0.50 0.125306\n0.75 0.567594\nName: 1147, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43597087458880546, std values: 1.1103349088745091, min values: -3.21990804472754, max values: 5.0, median values: -0.2458466767116603, and quantile values: 0.25 -1.129541\n0.50 -0.245847\n0.75 0.325702\nName: 1148, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39255736817621556, std values: 0.9886280166074571, min values: -2.5743883495350026, max values: 5.0, median values: -0.429629778246019, and quantile values: 0.25 -1.104111\n0.50 -0.429630\n0.75 0.222595\nName: 1149, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.48624681451508756, std values: 0.78211463047787, min values: -2.662750916816848, max values: 5.0, median values: 0.5289244885211251, and quantile values: 0.25 -0.023383\n0.50 0.528924\n0.75 1.010012\nName: 1150, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09571347821025389, std values: 0.9063962238240966, min values: -2.7510671817729784, max values: 6.0, median values: -0.1714980993435959, and quantile values: 0.25 -0.729889\n0.50 -0.171498\n0.75 0.512587\nName: 1151, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09017512846031381, std values: 0.8939109105656363, min values: -2.7314147016889114, max values: 3.477886732511886, median values: 0.0980510015577582, and quantile values: 0.25 -0.386329\n0.50 0.098051\n0.75 0.616486\nName: 1152, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16965319678428864, std values: 0.8544043468282844, min values: -2.5689076212724418, max values: 5.0, median values: 0.1951046067536209, and quantile values: 0.25 -0.397346\n0.50 0.195105\n0.75 0.692296\nName: 1153, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08914943348540388, std values: 0.8189839616925308, min values: -2.6117120822772133, max values: 5.0, median values: 0.0347065007639424, and quantile values: 0.25 -0.470035\n0.50 0.034707\n0.75 0.607536\nName: 1154, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32505297707279945, std values: 0.7949489035222803, min values: -3.0223671288921072, max values: 3.721862465295849, median values: 0.3977551390216456, and quantile values: 0.25 -0.232329\n0.50 0.397755\n0.75 0.902073\nName: 1155, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4922177177438393, std values: 1.0344123458824346, min values: -2.421787485176295, max values: 3.0, median values: -0.5595834904999102, and quantile values: 0.25 -1.374263\n0.50 -0.559583\n0.75 0.219882\nName: 1156, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.677616453836705, std values: 0.920177006238425, min values: -2.982771139679002, max values: 4.0, median values: -0.7194334705032077, and quantile values: 0.25 -1.269757\n0.50 -0.719433\n0.75 -0.136319\nName: 1157, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03813125886065207, std values: 0.6993532483906933, min values: -1.979441530378746, max values: 3.0, median values: -0.0332185198117541, and quantile values: 0.25 -0.494393\n0.50 -0.033219\n0.75 0.379708\nName: 1158, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12417659392476994, std values: 0.9789017898754221, min values: -2.739804196611005, max values: 6.0, median values: -0.2351030352765502, and quantile values: 0.25 -0.814798\n0.50 -0.235103\n0.75 0.518698\nName: 1159, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03558806028082941, std values: 0.9301212438243806, min values: -2.841647375415054, max values: 5.0, median values: -0.0132120723670098, and quantile values: 0.25 -0.554823\n0.50 -0.013212\n0.75 0.570095\nName: 1160, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.014614388424587017, std values: 1.0739540584604348, min values: -2.638186942019407, max values: 4.0, median values: 0.1181425175181739, and quantile values: 0.25 -0.627848\n0.50 0.118143\n0.75 0.699772\nName: 1161, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3220519511888621, std values: 0.8766716774649954, min values: -2.6652153608723106, max values: 5.0, median values: 0.4083826776270512, and quantile values: 0.25 -0.173253\n0.50 0.408383\n0.75 0.894241\nName: 1162, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07457283056378573, std values: 0.8289811794416986, min values: -2.0314387868277453, max values: 5.0, median values: 0.0007435615211104, and quantile values: 0.25 -0.493526\n0.50 0.000744\n0.75 0.612095\nName: 1163, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06779258523629986, std values: 0.9417594245246554, min values: -2.558791007225312, max values: 3.3483277116524426, median values: 0.0292400481012606, and quantile values: 0.25 -0.645250\n0.50 0.029240\n0.75 0.631677\nName: 1164, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2362065480909314, std values: 0.7396784025910108, min values: -1.995486066459493, max values: 6.0, median values: -0.3103493327483291, and quantile values: 0.25 -0.737244\n0.50 -0.310349\n0.75 0.196165\nName: 1165, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1547827327932902, std values: 0.8884444647961915, min values: -2.475778245535816, max values: 3.670892362631932, median values: -0.2546554430037787, and quantile values: 0.25 -0.783875\n0.50 -0.254655\n0.75 0.342272\nName: 1166, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1041629524859716, std values: 0.9239926293821535, min values: -2.623568901859613, max values: 4.0, median values: 0.2405109352079935, and quantile values: 0.25 -0.370620\n0.50 0.240511\n0.75 0.704815\nName: 1167, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06626170846365789, std values: 0.7141094216214917, min values: -2.150797299189117, max values: 5.0, median values: 0.1074721550436099, and quantile values: 0.25 -0.391587\n0.50 0.107472\n0.75 0.509204\nName: 1168, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27920075406693917, std values: 0.8117523092214605, min values: -2.087432639025188, max values: 4.0, median values: -0.4153973835186968, and quantile values: 0.25 -0.853731\n0.50 -0.415397\n0.75 0.204604\nName: 1169, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.9199081310904836, std values: 1.3277571442481613, min values: -2.1544878518521835, max values: 4.278004674434932, median values: 0.988133303545482, and quantile values: 0.25 -0.088821\n0.50 0.988133\n0.75 2.036184\nName: 1170, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3545211244845049, std values: 0.9417874265464665, min values: -2.091009825196596, max values: 3.397048482165858, median values: -0.4173243330983772, and quantile values: 0.25 -1.153263\n0.50 -0.417324\n0.75 0.298004\nName: 1171, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07849635262165496, std values: 0.834152768147078, min values: -2.222049826555007, max values: 3.1175233493066874, median values: 0.1089403086588237, and quantile values: 0.25 -0.51529\n0.50 0.10894\n0.75 0.70433\nName: 1172, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03428961013015726, std values: 0.9005067035397369, min values: -2.92272757463548, max values: 6.0, median values: 0.028057837752123, and quantile values: 0.25 -0.659977\n0.50 0.028058\n0.75 0.594750\nName: 1173, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6292192065321507, std values: 0.8502213463462283, min values: -2.3164092685850908, max values: 5.0, median values: 0.7172227705418093, and quantile values: 0.25 0.042478\n0.50 0.717223\n0.75 1.237540\nName: 1174, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05912814315011208, std values: 1.0280778276899785, min values: -2.842043939794492, max values: 3.110498035652072, median values: 0.14949967521289, and quantile values: 0.25 -0.497009\n0.50 0.149500\n0.75 0.730572\nName: 1175, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2434433387023737, std values: 0.8670032341075734, min values: -2.6685266729136536, max values: 6.0, median values: -0.2401454065170345, and quantile values: 0.25 -0.832162\n0.50 -0.240145\n0.75 0.285803\nName: 1176, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21195488187505973, std values: 0.7707547158119696, min values: -1.9764898974341991, max values: 3.336438412828754, median values: 0.2494734341547816, and quantile values: 0.25 -0.276067\n0.50 0.249473\n0.75 0.693419\nName: 1177, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2321294293648282, std values: 1.0618840069023012, min values: -2.955641696055872, max values: 3.518664430018096, median values: 0.4022612767533345, and quantile values: 0.25 -0.339557\n0.50 0.402261\n0.75 0.954878\nName: 1178, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3834450511514801, std values: 0.8821653408303527, min values: -2.90140378513671, max values: 3.0932086550988465, median values: 0.4493251751437366, and quantile values: 0.25 -0.254377\n0.50 0.449325\n0.75 1.028688\nName: 1179, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4007521183745093, std values: 1.147442727368329, min values: -2.64479559868397, max values: 6.0, median values: -0.3193045812598982, and quantile values: 0.25 -1.392806\n0.50 -0.319305\n0.75 0.532891\nName: 1180, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.407558041553062, std values: 0.8123849148221447, min values: -2.6635706018350787, max values: 3.0, median values: -0.4303345221681781, and quantile values: 0.25 -1.001536\n0.50 -0.430335\n0.75 0.076722\nName: 1181, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.033844997673048785, std values: 0.9950375455464963, min values: -2.8350118695332047, max values: 5.0, median values: -0.1038996860281672, and quantile values: 0.25 -0.663604\n0.50 -0.103900\n0.75 0.641220\nName: 1182, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.024007075751755858, std values: 0.8051875605760292, min values: -2.525881048269423, max values: 3.867701659180865, median values: -0.1074836124331698, and quantile values: 0.25 -0.541031\n0.50 -0.107484\n0.75 0.401149\nName: 1183, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1368938063420326, std values: 0.859350326653299, min values: -2.4564928597243227, max values: 4.0, median values: 0.0700622108348186, and quantile values: 0.25 -0.544222\n0.50 0.070062\n0.75 0.757745\nName: 1184, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.001435384108736923, std values: 0.8239994355339855, min values: -2.5445249319512966, max values: 3.0, median values: -0.0061450098346508, and quantile values: 0.25 -0.548570\n0.50 -0.006145\n0.75 0.551976\nName: 1185, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19811428459212452, std values: 0.8540487869696087, min values: -2.5689076212724418, max values: 5.0, median values: 0.1915888632837647, and quantile values: 0.25 -0.422613\n0.50 0.191589\n0.75 0.854722\nName: 1186, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28014574065248143, std values: 0.7964454521022644, min values: -2.221075353514828, max values: 2.9996722348762725, median values: 0.3441014984218907, and quantile values: 0.25 -0.272562\n0.50 0.344101\n0.75 0.838010\nName: 1187, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41250174471837636, std values: 1.0173448344523282, min values: -2.788272971802125, max values: 6.0, median values: 0.5649029565898945, and quantile values: 0.25 -0.097146\n0.50 0.564903\n0.75 1.121502\nName: 1188, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40986787393566687, std values: 1.0807963538371403, min values: -2.815821936576896, max values: 3.0651860794139534, median values: -0.2874039808508345, and quantile values: 0.25 -1.008655\n0.50 -0.287404\n0.75 0.252466\nName: 1189, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.034196475510172915, std values: 0.7271372866504728, min values: -2.092815429397888, max values: 5.0, median values: -0.0072085862923965, and quantile values: 0.25 -0.531584\n0.50 -0.007209\n0.75 0.425054\nName: 1190, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6158964761310217, std values: 0.951597763521506, min values: -2.5859127503381347, max values: 3.670892362631932, median values: 0.7445612102652992, and quantile values: 0.25 0.073652\n0.50 0.744561\n0.75 1.314483\nName: 1191, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8618509150962878, std values: 0.902740249183618, min values: -1.9946800637949191, max values: 3.8226908388056136, median values: 0.8732417703753488, and quantile values: 0.25 0.288759\n0.50 0.873242\n0.75 1.470120\nName: 1192, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.022276142039244603, std values: 1.1769564507526367, min values: -2.981718296512785, max values: 5.0, median values: 0.1250507028875834, and quantile values: 0.25 -0.773141\n0.50 0.125051\n0.75 0.878349\nName: 1193, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42172675565186035, std values: 1.0079661470330696, min values: -2.7939007019027, max values: 3.4566816047670264, median values: 0.53747318007401, and quantile values: 0.25 -0.241192\n0.50 0.537473\n0.75 1.178575\nName: 1194, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20603241637543573, std values: 0.8460740019393053, min values: -1.974437260854475, max values: 5.0, median values: 0.2119227462387657, and quantile values: 0.25 -0.384641\n0.50 0.211923\n0.75 0.817931\nName: 1195, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17372825687774307, std values: 0.7802191653149095, min values: -2.730840794324401, max values: 3.2266531185902125, median values: -0.1355771501152051, and quantile values: 0.25 -0.676048\n0.50 -0.135577\n0.75 0.291692\nName: 1196, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16395895501984298, std values: 0.9876160838453729, min values: -2.090799501270592, max values: 4.278004674434932, median values: -0.2747060552533003, and quantile values: 0.25 -0.970063\n0.50 -0.274706\n0.75 0.486721\nName: 1197, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09347759632720333, std values: 0.8609856652734104, min values: -2.475272102106495, max values: 4.0, median values: -0.1161737606312288, and quantile values: 0.25 -0.684956\n0.50 -0.116174\n0.75 0.458190\nName: 1198, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44947331828110537, std values: 1.0790732227093978, min values: -2.161181455793125, max values: 6.0, median values: 0.3878494618963596, and quantile values: 0.25 -0.391379\n0.50 0.387849\n0.75 1.365324\nName: 1199, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0029364671490294636, std values: 0.9493993773578109, min values: -2.8282523283494294, max values: 4.0, median values: -0.0715790869255609, and quantile values: 0.25 -0.612091\n0.50 -0.071579\n0.75 0.646665\nName: 1200, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1698443680543041, std values: 0.7794425217522871, min values: -2.506827530467421, max values: 4.0, median values: -0.2345790869497376, and quantile values: 0.25 -0.705178\n0.50 -0.234579\n0.75 0.319951\nName: 1201, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.015011587648906945, std values: 0.9237266406743199, min values: -2.442256129120324, max values: 6.0, median values: -0.0921155968943275, and quantile values: 0.25 -0.677466\n0.50 -0.092116\n0.75 0.602484\nName: 1202, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5948176905257907, std values: 0.9702035700693709, min values: -2.0313235858347203, max values: 3.3760121766849016, median values: 0.6158861290037112, and quantile values: 0.25 -0.058030\n0.50 0.615886\n0.75 1.242396\nName: 1203, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17525040799118138, std values: 0.8020698059373875, min values: -2.264034258932616, max values: 3.191712471143802, median values: -0.185910864890886, and quantile values: 0.25 -0.730314\n0.50 -0.185911\n0.75 0.330934\nName: 1204, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20559256273157486, std values: 0.8372509641864659, min values: -2.609385158408876, max values: 4.0, median values: 0.3332886025011592, and quantile values: 0.25 -0.238303\n0.50 0.333289\n0.75 0.766910\nName: 1205, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.532609707764262, std values: 0.919588754072026, min values: -2.469941537133514, max values: 4.0, median values: 0.522284579949505, and quantile values: 0.25 -0.144554\n0.50 0.522285\n0.75 1.296404\nName: 1206, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6738768015210556, std values: 0.811929654006794, min values: -2.7871422803648627, max values: 2.497627580948261, median values: -0.7762680184992771, and quantile values: 0.25 -1.278365\n0.50 -0.776268\n0.75 -0.180167\nName: 1207, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34065413223440727, std values: 1.024948159291412, min values: -2.623568901859613, max values: 4.0, median values: -0.4418737985976487, and quantile values: 0.25 -1.121915\n0.50 -0.441874\n0.75 0.398881\nName: 1208, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3612355714088003, std values: 0.8384565700057081, min values: -2.9029979285382743, max values: 6.0, median values: -0.3776770991280168, and quantile values: 0.25 -0.903066\n0.50 -0.377677\n0.75 0.103016\nName: 1209, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2604888575513496, std values: 0.9001095065233335, min values: -2.03491991191987, max values: 3.066111439712683, median values: -0.3182601910510443, and quantile values: 0.25 -0.922519\n0.50 -0.318260\n0.75 0.285991\nName: 1210, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.029860410240152166, std values: 0.8860511532116118, min values: -2.025405408182953, max values: 6.0, median values: 0.0581263270069698, and quantile values: 0.25 -0.606525\n0.50 0.058126\n0.75 0.619419\nName: 1211, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01521262477004377, std values: 0.9788208284696038, min values: -2.679056533720636, max values: 5.0, median values: 0.1351029191694416, and quantile values: 0.25 -0.592990\n0.50 0.135103\n0.75 0.728125\nName: 1212, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2225233706846739, std values: 0.8232040482901103, min values: -2.8531572940820533, max values: 3.215720519334646, median values: -0.3051807126945042, and quantile values: 0.25 -0.798080\n0.50 -0.305181\n0.75 0.297457\nName: 1213, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.46825772584952247, std values: 0.8901190556927979, min values: -1.9174980625348133, max values: 5.0, median values: 0.5179410142464007, and quantile values: 0.25 -0.172057\n0.50 0.517941\n0.75 1.169643\nName: 1214, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0245758337128411, std values: 0.9527382579637029, min values: -2.8350118695332047, max values: 5.0, median values: 0.0083720489700757, and quantile values: 0.25 -0.494354\n0.50 0.008372\n0.75 0.544121\nName: 1215, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3064788715429734, std values: 0.9911437708904018, min values: -3.3364384128287203, max values: 2.760067065336153, median values: -0.1360496561613952, and quantile values: 0.25 -0.796943\n0.50 -0.136050\n0.75 0.360221\nName: 1216, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3362858669638128, std values: 0.8348165729772785, min values: -2.4536054974529624, max values: 6.0, median values: 0.3467131159713525, and quantile values: 0.25 -0.207670\n0.50 0.346713\n0.75 0.875745\nName: 1217, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18989898957771686, std values: 0.8050075177051808, min values: -2.73836943861057, max values: 3.0, median values: -0.2655738524301186, and quantile values: 0.25 -0.736555\n0.50 -0.265574\n0.75 0.290556\nName: 1218, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05155403534920893, std values: 0.8673150457934361, min values: -2.5689076212724418, max values: 5.0, median values: -0.1483525683761369, and quantile values: 0.25 -0.675514\n0.50 -0.148353\n0.75 0.492216\nName: 1219, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18679186802512274, std values: 1.0009054158336306, min values: -2.618746139350171, max values: 3.760287110694155, median values: -0.2927686829749366, and quantile values: 0.25 -0.944664\n0.50 -0.292769\n0.75 0.467608\nName: 1220, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18315020965839, std values: 0.7672788602823251, min values: -2.1067975134574946, max values: 3.236860296211547, median values: -0.2307453567746117, and quantile values: 0.25 -0.732785\n0.50 -0.230745\n0.75 0.315253\nName: 1221, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04067037459566269, std values: 0.9559616435540137, min values: -1.9329606463240647, max values: 3.784832159836258, median values: -0.117116488964417, and quantile values: 0.25 -0.769650\n0.50 -0.117116\n0.75 0.596131\nName: 1222, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20018537531767228, std values: 0.8705802319789336, min values: -2.919359491767569, max values: 5.0, median values: -0.2099216162244811, and quantile values: 0.25 -0.838043\n0.50 -0.209922\n0.75 0.420356\nName: 1223, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5599297099345191, std values: 0.8706639030345857, min values: -2.710223074556336, max values: 4.0, median values: -0.6933490477658383, and quantile values: 0.25 -1.250677\n0.50 -0.693349\n0.75 0.002269\nName: 1224, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08782881816164832, std values: 0.8924442810876787, min values: -2.179853905073574, max values: 6.0, median values: -0.0310370866517531, and quantile values: 0.25 -0.546918\n0.50 -0.031037\n0.75 0.662006\nName: 1225, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20357730164965748, std values: 0.9709828298612457, min values: -2.3959835135420136, max values: 6.0, median values: -0.3093958392034661, and quantile values: 0.25 -0.978563\n0.50 -0.309396\n0.75 0.449728\nName: 1226, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15881688359797874, std values: 0.8063973467981637, min values: -2.2915911556076085, max values: 3.569037956734876, median values: 0.1887731627700614, and quantile values: 0.25 -0.360094\n0.50 0.188773\n0.75 0.649325\nName: 1227, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23526609572653728, std values: 0.9475087836803243, min values: -2.0864604194430334, max values: 3.0774992973297404, median values: 0.164789898388373, and quantile values: 0.25 -0.515213\n0.50 0.164790\n0.75 0.951494\nName: 1228, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09110166779614645, std values: 1.1361117694404124, min values: -2.2165554792012925, max values: 6.0, median values: 0.0228092744587322, and quantile values: 0.25 -0.772468\n0.50 0.022809\n0.75 0.819914\nName: 1229, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43270503644989833, std values: 0.8486344173403314, min values: -2.267175988438518, max values: 5.0, median values: -0.5834160261971244, and quantile values: 0.25 -1.071027\n0.50 -0.583416\n0.75 0.079811\nName: 1230, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22502260259953727, std values: 0.8695554935180086, min values: -2.838932175687192, max values: 4.0, median values: 0.2742508761705211, and quantile values: 0.25 -0.361844\n0.50 0.274251\n0.75 0.803454\nName: 1231, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.477107565409193, std values: 0.7704375158203097, min values: -2.525881048269423, max values: 3.379902545505621, median values: 0.5142957942943203, and quantile values: 0.25 0.002482\n0.50 0.514296\n0.75 0.959764\nName: 1232, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.005333272859805076, std values: 1.0232023281525948, min values: -2.078961117712412, max values: 5.0, median values: -0.1408771908672865, and quantile values: 0.25 -0.738361\n0.50 -0.140877\n0.75 0.645413\nName: 1233, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03086048768677647, std values: 0.8594322958251692, min values: -2.139854677126992, max values: 5.0, median values: -0.1244965435425433, and quantile values: 0.25 -0.641140\n0.50 -0.124497\n0.75 0.526093\nName: 1234, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33640095019273064, std values: 0.8231280428221778, min values: -2.2262971094910258, max values: 3.569037956734876, median values: 0.4088816890174646, and quantile values: 0.25 -0.264032\n0.50 0.408882\n0.75 0.976341\nName: 1235, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.027486522616246983, std values: 0.8007586829382254, min values: -2.5689076212724418, max values: 5.0, median values: -0.0612030019551307, and quantile values: 0.25 -0.508693\n0.50 -0.061203\n0.75 0.535099\nName: 1236, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16808244136803824, std values: 0.9576539934741856, min values: -2.815821936576896, max values: 3.0, median values: -0.1011150087463955, and quantile values: 0.25 -0.657815\n0.50 -0.101115\n0.75 0.396451\nName: 1237, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1873118683554475, std values: 0.8546079418374501, min values: -2.0558865589498763, max values: 3.0774992973297404, median values: 0.1931151090886194, and quantile values: 0.25 -0.458300\n0.50 0.193115\n0.75 0.818361\nName: 1238, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25954385466459784, std values: 0.9503933089588007, min values: -2.4823451998031074, max values: 3.2936960268109283, median values: 0.3734417349738781, and quantile values: 0.25 -0.332314\n0.50 0.373442\n0.75 0.922411\nName: 1239, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21466796442448122, std values: 0.966730401228749, min values: -2.876502173242568, max values: 3.9905524164385566, median values: -0.2232851842565025, and quantile values: 0.25 -0.937892\n0.50 -0.223285\n0.75 0.433183\nName: 1240, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40231139805288285, std values: 0.8778275150739996, min values: -1.9426828178266249, max values: 3.627976272701048, median values: 0.4265913569888495, and quantile values: 0.25 -0.154725\n0.50 0.426591\n0.75 0.961852\nName: 1241, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34224228119852224, std values: 0.8358278899175083, min values: -2.090799501270592, max values: 3.3014869995452325, median values: 0.3850735568873847, and quantile values: 0.25 -0.244771\n0.50 0.385074\n0.75 0.974477\nName: 1242, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40897469753519355, std values: 0.9419970186885033, min values: -2.8663054413554843, max values: 6.0, median values: 0.5280486963639283, and quantile values: 0.25 -0.215302\n0.50 0.528049\n0.75 1.093834\nName: 1243, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3149489338857932, std values: 0.8349585313476924, min values: -2.264034258932616, max values: 3.709787027503053, median values: 0.3592623734840627, and quantile values: 0.25 -0.247692\n0.50 0.359262\n0.75 0.911670\nName: 1244, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3926739178901302, std values: 0.9484875148562945, min values: -2.6466193392086392, max values: 4.0, median values: 0.433936423161241, and quantile values: 0.25 -0.143026\n0.50 0.433936\n0.75 0.989945\nName: 1245, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.019919779952402107, std values: 0.8647010514716787, min values: -2.4564928597243227, max values: 4.0, median values: -0.0266887623722795, and quantile values: 0.25 -0.572515\n0.50 -0.026689\n0.75 0.547275\nName: 1246, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.012870403894358317, std values: 0.9709171550958564, min values: -2.495142955335236, max values: 4.0, median values: -0.0269229527292463, and quantile values: 0.25 -0.766765\n0.50 -0.026923\n0.75 0.712471\nName: 1247, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.8464167608983753, std values: 1.1139444538679455, min values: -3.05087304133376, max values: 5.0, median values: -2.10781213968935, and quantile values: 0.25 -2.371618\n0.50 -2.107812\n0.75 -1.849225\nName: 1248, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0935526940109963, std values: 0.793357543130119, min values: -2.618746139350171, max values: 3.082096909284949, median values: -0.117377944222584, and quantile values: 0.25 -0.607082\n0.50 -0.117378\n0.75 0.371491\nName: 1249, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32275779789779446, std values: 0.8801974370432668, min values: -2.3184884946917497, max values: 6.0, median values: -0.4551209412888328, and quantile values: 0.25 -0.979009\n0.50 -0.455121\n0.75 0.239749\nName: 1250, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02008454058527624, std values: 0.7365497158173279, min values: -2.0258339246740453, max values: 4.0, median values: -0.0892677677865103, and quantile values: 0.25 -0.512947\n0.50 -0.089268\n0.75 0.464948\nName: 1251, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3337778179788822, std values: 0.7822561440653698, min values: -2.5631847770497496, max values: 4.0, median values: 0.3460580850082947, and quantile values: 0.25 -0.192891\n0.50 0.346058\n0.75 0.844609\nName: 1252, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25667684927220075, std values: 0.8438026958368445, min values: -2.2262971094910258, max values: 3.598076523509904, median values: -0.2704188270578796, and quantile values: 0.25 -0.858339\n0.50 -0.270419\n0.75 0.269150\nName: 1253, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.473691865290928, std values: 0.9580114999510861, min values: -2.841647375415054, max values: 5.0, median values: 0.5655840770732237, and quantile values: 0.25 -0.209696\n0.50 0.565584\n0.75 1.184731\nName: 1254, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24072576745588162, std values: 0.988979892545965, min values: -2.673549169958716, max values: 6.0, median values: 0.3041133592858449, and quantile values: 0.25 -0.393334\n0.50 0.304113\n0.75 0.980002\nName: 1255, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09166400417224492, std values: 0.854966644002642, min values: -2.724017888297919, max values: 3.721862465295849, median values: -0.0575889806836632, and quantile values: 0.25 -0.639863\n0.50 -0.057589\n0.75 0.438147\nName: 1256, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04869602480863762, std values: 0.8157109377041205, min values: -2.475778245535816, max values: 3.397048482165858, median values: -0.1377175681004565, and quantile values: 0.25 -0.589331\n0.50 -0.137718\n0.75 0.449295\nName: 1257, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11882428721067881, std values: 0.8764088440752388, min values: -2.783691185534105, max values: 2.584593648802425, median values: 0.1520574780145843, and quantile values: 0.25 -0.524574\n0.50 0.152057\n0.75 0.781144\nName: 1258, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.024780851864567296, std values: 1.063255831333401, min values: -2.1655579954071733, max values: 3.1395741599540568, median values: -0.0817450121000369, and quantile values: 0.25 -0.927122\n0.50 -0.081745\n0.75 0.804139\nName: 1259, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11272085581231493, std values: 0.8718229196114404, min values: -2.0681185926384043, max values: 3.721862465295849, median values: 0.013282982102371, and quantile values: 0.25 -0.499515\n0.50 0.013283\n0.75 0.648577\nName: 1260, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07195899442777709, std values: 0.7355324442581775, min values: -2.0207160942359104, max values: 6.0, median values: 0.0641279075338964, and quantile values: 0.25 -0.414799\n0.50 0.064128\n0.75 0.528538\nName: 1261, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9054402829205168, std values: 1.4995782093311611, min values: -3.101800431129944, max values: 6.0, median values: -1.6517399970311069, and quantile values: 0.25 -2.165598\n0.50 -1.651740\n0.75 0.544094\nName: 1262, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06741182374468964, std values: 0.7961497971006548, min values: -2.1129656573735445, max values: 5.0, median values: 0.0674804194976819, and quantile values: 0.25 -0.443939\n0.50 0.067480\n0.75 0.507590\nName: 1263, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36204376391411364, std values: 1.061235063703408, min values: -2.5122218748354936, max values: 3.2936960268109283, median values: -0.3566445211366205, and quantile values: 0.25 -1.177649\n0.50 -0.356645\n0.75 0.395663\nName: 1264, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05461944617975127, std values: 0.9183341123834384, min values: -2.486556664247513, max values: 3.5021977227593246, median values: -0.0822935975317899, and quantile values: 0.25 -0.636734\n0.50 -0.082294\n0.75 0.514242\nName: 1265, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34649774685408474, std values: 1.052833262244378, min values: -2.799990485600992, max values: 5.0, median values: -0.3375736990455416, and quantile values: 0.25 -1.276881\n0.50 -0.337574\n0.75 0.432431\nName: 1266, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19015273142501074, std values: 0.8924143834458144, min values: -2.622709665346679, max values: 3.3337116327022187, median values: 0.2122870438299207, and quantile values: 0.25 -0.321814\n0.50 0.212287\n0.75 0.768846\nName: 1267, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20093163396670163, std values: 0.8400309802709368, min values: -2.799990485600992, max values: 5.0, median values: -0.1703244308889808, and quantile values: 0.25 -0.825617\n0.50 -0.170324\n0.75 0.384539\nName: 1268, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3371384343069313, std values: 1.0970773028451828, min values: -2.558791007225312, max values: 3.9905524164385566, median values: -0.2401946824390206, and quantile values: 0.25 -1.107816\n0.50 -0.240195\n0.75 0.485746\nName: 1269, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1925828465409566, std values: 0.8613161187501592, min values: -2.184320644834112, max values: 3.02009942896863, median values: -0.2488849318613891, and quantile values: 0.25 -0.859491\n0.50 -0.248885\n0.75 0.382386\nName: 1270, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06888394531341493, std values: 0.8684524044487376, min values: -2.5879430435308, max values: 3.0, median values: -0.0631896717074843, and quantile values: 0.25 -0.542395\n0.50 -0.063190\n0.75 0.459493\nName: 1271, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.056640658635402505, std values: 0.8690802510947546, min values: -2.1222500742240245, max values: 4.0, median values: -0.1601901760316563, and quantile values: 0.25 -0.689781\n0.50 -0.160190\n0.75 0.505790\nName: 1272, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1130773812538935, std values: 0.7882721853519363, min values: -1.977656420648408, max values: 2.819348159204945, median values: -0.1741167032121734, and quantile values: 0.25 -0.654668\n0.50 -0.174117\n0.75 0.382758\nName: 1273, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06557822222558046, std values: 0.8495476775777812, min values: -2.084038461791521, max values: 4.0, median values: -0.1435034018238822, and quantile values: 0.25 -0.709621\n0.50 -0.143503\n0.75 0.501751\nName: 1274, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08149900020778207, std values: 0.8055801115227269, min values: -2.536941606705235, max values: 4.0, median values: -0.1458678376954993, and quantile values: 0.25 -0.672520\n0.50 -0.145868\n0.75 0.459432\nName: 1275, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5999284719525235, std values: 0.9533171881601721, min values: -3.2119459948042475, max values: 3.1801075704642923, median values: -0.7614350579488717, and quantile values: 0.25 -1.365786\n0.50 -0.761435\n0.75 0.031557\nName: 1276, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09432980933184247, std values: 0.8714326015038658, min values: -2.643887016977268, max values: 6.0, median values: 0.1029583276733657, and quantile values: 0.25 -0.381023\n0.50 0.102958\n0.75 0.625703\nName: 1277, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04548251814775198, std values: 1.1725802097404388, min values: -2.0366697630595785, max values: 5.0, median values: -0.1533596030606294, and quantile values: 0.25 -1.056196\n0.50 -0.153360\n0.75 0.800976\nName: 1278, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3224442563537207, std values: 0.9132555751227243, min values: -2.5825978442440407, max values: 6.0, median values: 0.2410808956128503, and quantile values: 0.25 -0.365581\n0.50 0.241081\n0.75 0.986192\nName: 1279, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2505723445060513, std values: 0.7743894294851762, min values: -2.1502995050841665, max values: 3.0, median values: -0.2856556140853534, and quantile values: 0.25 -0.811586\n0.50 -0.285656\n0.75 0.245526\nName: 1280, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1879388161001855, std values: 0.8450842164672481, min values: -2.622709665346679, max values: 3.784832159836258, median values: -0.1442436938391881, and quantile values: 0.25 -0.700670\n0.50 -0.144244\n0.75 0.354855\nName: 1281, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23741559325867898, std values: 0.8283492590703714, min values: -2.157019117459074, max values: 4.0, median values: -0.2545480265605448, and quantile values: 0.25 -0.830683\n0.50 -0.254548\n0.75 0.279949\nName: 1282, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2175801440905074, std values: 0.8396054614761101, min values: -2.93129584560762, max values: 6.0, median values: -0.1721254212407315, and quantile values: 0.25 -0.673229\n0.50 -0.172125\n0.75 0.292740\nName: 1283, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31859751983045215, std values: 1.0840262855427463, min values: -2.72346435408924, max values: 4.0, median values: 0.2932573866000059, and quantile values: 0.25 -0.517304\n0.50 0.293257\n0.75 1.150163\nName: 1284, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35324755186258483, std values: 1.1641428308978483, min values: -2.6668673616981367, max values: 4.243835016543704, median values: 0.5423949804340717, and quantile values: 0.25 -0.266015\n0.50 0.542395\n0.75 1.247372\nName: 1285, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.673209666353741, std values: 1.0543494635166764, min values: -2.6820581866633817, max values: 3.455472209455805, median values: -0.8038393124594331, and quantile values: 0.25 -1.409118\n0.50 -0.803839\n0.75 -0.044045\nName: 1286, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10391735527283462, std values: 0.8568978999781597, min values: -2.6660404517971856, max values: 4.0, median values: -0.0255317168217538, and quantile values: 0.25 -0.619853\n0.50 -0.025532\n0.75 0.432632\nName: 1287, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3520015588296425, std values: 0.8876298082773474, min values: -2.001572802478312, max values: 3.397048482165858, median values: 0.4149771283320416, and quantile values: 0.25 -0.238541\n0.50 0.414977\n0.75 0.936915\nName: 1288, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12120255461894319, std values: 0.8418006435761244, min values: -2.209826040384377, max values: 3.670892362631932, median values: -0.1765167562000768, and quantile values: 0.25 -0.788046\n0.50 -0.176517\n0.75 0.466949\nName: 1289, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08944677753396668, std values: 0.8387075963343414, min values: -2.085005777586541, max values: 3.124705982383484, median values: -0.0940620418067362, and quantile values: 0.25 -0.693629\n0.50 -0.094062\n0.75 0.468478\nName: 1290, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.003678856287282326, std values: 0.8638482258128122, min values: -2.87684958111886, max values: 2.757360877660495, median values: 0.1005776500512043, and quantile values: 0.25 -0.597184\n0.50 0.100578\n0.75 0.626520\nName: 1291, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7407826149184469, std values: 1.2454725771966009, min values: -3.05087304133376, max values: 5.0, median values: 0.729529428669975, and quantile values: 0.25 -0.170231\n0.50 0.729529\n0.75 1.775414\nName: 1292, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04792137384863575, std values: 0.8190598597438323, min values: -2.732564679617164, max values: 3.0774992973297404, median values: -0.0042410669248165, and quantile values: 0.25 -0.560335\n0.50 -0.004241\n0.75 0.612604\nName: 1293, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18891406891842333, std values: 1.0974410618560928, min values: -2.949186837165601, max values: 4.0, median values: 0.3418916517414691, and quantile values: 0.25 -0.257530\n0.50 0.341892\n0.75 0.894629\nName: 1294, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.007845627062210064, std values: 0.8142894571531061, min values: -2.101255482180127, max values: 6.0, median values: 0.0036076578364434, and quantile values: 0.25 -0.549275\n0.50 0.003608\n0.75 0.504001\nName: 1295, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20911598989103186, std values: 1.0141746536806422, min values: -2.838932175687192, max values: 4.0, median values: -0.1197342623185975, and quantile values: 0.25 -0.815984\n0.50 -0.119734\n0.75 0.449813\nName: 1296, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49586234036241583, std values: 0.9662412273831877, min values: -2.618746139350171, max values: 3.025409039429847, median values: 0.5570409505128864, and quantile values: 0.25 -0.129021\n0.50 0.557041\n0.75 1.165050\nName: 1297, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4631130765436019, std values: 0.869752129553256, min values: -1.997506764110786, max values: 3.319774799707247, median values: 0.5614686211609345, and quantile values: 0.25 -0.167450\n0.50 0.561469\n0.75 1.133148\nName: 1298, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4131232512191791, std values: 0.766540818386037, min values: -2.3184884946917497, max values: 6.0, median values: 0.4435125962206797, and quantile values: 0.25 -0.059073\n0.50 0.443513\n0.75 0.882960\nName: 1299, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12661527025900446, std values: 0.9186745820569426, min values: -2.45229857681487, max values: 3.05919958255637, median values: -0.1756766226982877, and quantile values: 0.25 -0.835398\n0.50 -0.175677\n0.75 0.512920\nName: 1300, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23447684666383992, std values: 0.8345195415148211, min values: -2.6635706018350787, max values: 3.0, median values: 0.2869113945134734, and quantile values: 0.25 -0.354327\n0.50 0.286911\n0.75 0.829479\nName: 1301, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5024246140280186, std values: 0.8799942976106663, min values: -2.1261935652000536, max values: 3.0, median values: -0.6180181224535696, and quantile values: 0.25 -1.185418\n0.50 -0.618018\n0.75 0.054638\nName: 1302, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.048961391482724485, std values: 0.946680307642508, min values: -2.6635706018350787, max values: 3.630507857092792, median values: 0.0780429456568514, and quantile values: 0.25 -0.620787\n0.50 0.078043\n0.75 0.634998\nName: 1303, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5174381755961488, std values: 0.8196233805747444, min values: -2.6117120822772133, max values: 5.0, median values: -0.5491977468423264, and quantile values: 0.25 -1.084613\n0.50 -0.549198\n0.75 -0.068925\nName: 1304, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6273720667269008, std values: 0.8356819170760763, min values: -2.372995607737588, max values: 5.0, median values: 0.7610561240520624, and quantile values: 0.25 0.087825\n0.50 0.761056\n0.75 1.207653\nName: 1305, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21413434374260165, std values: 0.9880555709937977, min values: -2.5201815750705507, max values: 4.0, median values: -0.2525954915753353, and quantile values: 0.25 -0.963077\n0.50 -0.252595\n0.75 0.521945\nName: 1306, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17021948906582315, std values: 0.8147895918269753, min values: -2.6404955031131814, max values: 6.0, median values: 0.1359854659146449, and quantile values: 0.25 -0.346684\n0.50 0.135985\n0.75 0.703967\nName: 1307, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1378563043938757, std values: 0.918456919924139, min values: -2.6201435104586555, max values: 6.0, median values: 0.0840486106924766, and quantile values: 0.25 -0.558980\n0.50 0.084049\n0.75 0.782079\nName: 1308, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2549641605767121, std values: 0.8380747820540438, min values: -2.4536054974529624, max values: 6.0, median values: 0.3081573234665989, and quantile values: 0.25 -0.321640\n0.50 0.308157\n0.75 0.832415\nName: 1309, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02581941650532179, std values: 0.8855773120004194, min values: -2.5879430435308, max values: 3.1801075704642923, median values: 0.0012668087395444, and quantile values: 0.25 -0.701779\n0.50 0.001267\n0.75 0.624566\nName: 1310, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18605814033144083, std values: 0.7621056908437246, min values: -2.4176069991382847, max values: 6.0, median values: -0.2840411862485226, and quantile values: 0.25 -0.709732\n0.50 -0.284041\n0.75 0.286542\nName: 1311, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44676774995949414, std values: 0.9043793365236976, min values: -2.641174291463747, max values: 6.0, median values: 0.5975609210581635, and quantile values: 0.25 -0.023328\n0.50 0.597561\n0.75 1.066365\nName: 1312, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05985919184945164, std values: 0.7758689422096922, min values: -1.8906879425712608, max values: 4.0, median values: 0.0424130134530041, and quantile values: 0.25 -0.444912\n0.50 0.042413\n0.75 0.506703\nName: 1313, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.401598407438288, std values: 0.8343785705180599, min values: -2.5825978442440407, max values: 6.0, median values: 0.4658423766939922, and quantile values: 0.25 -0.146759\n0.50 0.465842\n0.75 0.981302\nName: 1314, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3105423460591667, std values: 0.9356644082288262, min values: -2.4902145713898545, max values: 3.0, median values: -0.3782863295940692, and quantile values: 0.25 -0.902485\n0.50 -0.378286\n0.75 0.258583\nName: 1315, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1049166680560282, std values: 1.0636724036567535, min values: -2.104667097879677, max values: 4.0, median values: -0.0002478538200687, and quantile values: 0.25 -0.667430\n0.50 -0.000248\n0.75 0.693708\nName: 1316, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6291942638754247, std values: 1.1513458052043934, min values: -2.419133598913117, max values: 3.306454397423372, median values: 0.5435195443531572, and quantile values: 0.25 -0.241336\n0.50 0.543520\n0.75 1.571139\nName: 1317, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10686858055002833, std values: 0.8484979428839532, min values: -2.5399045531878324, max values: 4.0, median values: 0.1308824495436077, and quantile values: 0.25 -0.340368\n0.50 0.130882\n0.75 0.626574\nName: 1318, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11877744873818143, std values: 0.767635172224303, min values: -1.947797115129811, max values: 5.0, median values: -0.1792540582409497, and quantile values: 0.25 -0.660271\n0.50 -0.179254\n0.75 0.366376\nName: 1319, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1495446556048256, std values: 0.8219002111373888, min values: -2.6850842010492566, max values: 6.0, median values: -0.1690113180441309, and quantile values: 0.25 -0.714270\n0.50 -0.169011\n0.75 0.376821\nName: 1320, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6616629934661565, std values: 1.0075854757992218, min values: -3.071284484560209, max values: 3.518664430018096, median values: 0.7731360282138011, and quantile values: 0.25 0.051852\n0.50 0.773136\n0.75 1.344200\nName: 1321, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12265047784061468, std values: 0.8010816144050522, min values: -2.0854901680147853, max values: 5.0, median values: 0.1930589940954337, and quantile values: 0.25 -0.441722\n0.50 0.193059\n0.75 0.689572\nName: 1322, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07184290540227473, std values: 0.9563635511845571, min values: -2.5743883495350026, max values: 5.0, median values: -0.0173230942885114, and quantile values: 0.25 -0.681594\n0.50 -0.017323\n0.75 0.545327\nName: 1323, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5216207823884845, std values: 0.9401703477982998, min values: -2.0903611962432427, max values: 3.379902545505621, median values: 0.4762382720556481, and quantile values: 0.25 -0.086333\n0.50 0.476238\n0.75 1.114285\nName: 1324, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23308264278415924, std values: 0.8329770287307668, min values: -2.4902145713898545, max values: 3.598076523509904, median values: 0.3343976096008731, and quantile values: 0.25 -0.275335\n0.50 0.334398\n0.75 0.767135\nName: 1325, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4188856281518578, std values: 0.8522510750942762, min values: -2.5859127503381347, max values: 3.236860296211547, median values: -0.4353910806496838, and quantile values: 0.25 -1.005770\n0.50 -0.435391\n0.75 0.093107\nName: 1326, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42325122458008707, std values: 0.8438499262030004, min values: -2.213354504033011, max values: 4.0, median values: -0.5553640943063062, and quantile values: 0.25 -1.042768\n0.50 -0.555364\n0.75 0.081321\nName: 1327, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.028000729046577192, std values: 0.8759218384312, min values: -2.662750916816848, max values: 5.0, median values: 0.0894843511358669, and quantile values: 0.25 -0.595736\n0.50 0.089484\n0.75 0.653036\nName: 1328, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16898730458339267, std values: 0.8094632506898572, min values: -2.128045234184984, max values: 3.9048392686725855, median values: -0.2369719744854259, and quantile values: 0.25 -0.745724\n0.50 -0.236972\n0.75 0.347678\nName: 1329, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3527377580230417, std values: 0.8025868326573157, min values: -1.835545110410819, max values: 2.975781014280383, median values: 0.2975437428888617, and quantile values: 0.25 -0.205504\n0.50 0.297544\n0.75 0.884378\nName: 1330, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02989283600634559, std values: 0.8073905594144773, min values: -1.982468052069343, max values: 3.867701659180865, median values: 0.0619857072072367, and quantile values: 0.25 -0.526745\n0.50 0.061986\n0.75 0.559837\nName: 1331, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31794609052868156, std values: 0.901061753672792, min values: -2.8531572940820533, max values: 3.867701659180865, median values: -0.3829782616616806, and quantile values: 0.25 -0.864700\n0.50 -0.382978\n0.75 0.211754\nName: 1332, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39731177007260265, std values: 0.979938824847115, min values: -2.098757565199457, max values: 3.349054967837474, median values: 0.3486146895973943, and quantile values: 0.25 -0.368302\n0.50 0.348615\n0.75 1.130848\nName: 1333, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3624542006433181, std values: 0.9072623964250246, min values: -2.5743883495350026, max values: 5.0, median values: -0.4294224308603541, and quantile values: 0.25 -0.963404\n0.50 -0.429422\n0.75 0.210288\nName: 1334, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3243369118380729, std values: 0.8007982595051734, min values: -2.560041333834972, max values: 3.3483277116524426, median values: -0.442754511161428, and quantile values: 0.25 -0.886708\n0.50 -0.442755\n0.75 0.129493\nName: 1335, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3749939552282537, std values: 0.7915865023039897, min values: -2.118599024240829, max values: 5.0, median values: 0.3977551390216456, and quantile values: 0.25 -0.128410\n0.50 0.397755\n0.75 0.888790\nName: 1336, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45936546618971186, std values: 0.856835060823146, min values: -2.1798712735263623, max values: 3.5021977227593246, median values: -0.5996530512785369, and quantile values: 0.25 -1.071565\n0.50 -0.599653\n0.75 0.030325\nName: 1337, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4773128925546345, std values: 1.08012035152943, min values: -2.6466193392086392, max values: 4.0, median values: 0.4973519375923611, and quantile values: 0.25 -0.279915\n0.50 0.497352\n0.75 1.366977\nName: 1338, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30975856987382777, std values: 1.0896398641084233, min values: -2.4536054974529624, max values: 6.0, median values: 0.2393518230017806, and quantile values: 0.25 -0.444817\n0.50 0.239352\n0.75 0.947475\nName: 1339, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.582463532285511, std values: 0.7848932877544356, min values: -2.7966401946102457, max values: 3.5908526919299577, median values: 0.6205869065280791, and quantile values: 0.25 0.139358\n0.50 0.620587\n0.75 1.106647\nName: 1340, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5226892586467228, std values: 0.8541495020775438, min values: -2.3344113078233786, max values: 3.867701659180865, median values: 0.5968264692327805, and quantile values: 0.25 -0.022887\n0.50 0.596826\n0.75 1.148622\nName: 1341, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07460611519476251, std values: 0.8621101042276279, min values: -2.10781213968935, max values: 3.1801075704642923, median values: 0.0016248201854132, and quantile values: 0.25 -0.525605\n0.50 0.001625\n0.75 0.662026\nName: 1342, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26083061714471245, std values: 1.0198132507834134, min values: -2.6800544037614658, max values: 4.0, median values: -0.2599225294460284, and quantile values: 0.25 -1.048303\n0.50 -0.259923\n0.75 0.554647\nName: 1343, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2738741280971095, std values: 0.8762334655659263, min values: -2.541693081833126, max values: 3.5021977227593246, median values: 0.3291891221286481, and quantile values: 0.25 -0.306970\n0.50 0.329189\n0.75 0.878662\nName: 1344, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3820426398913471, std values: 1.0080947049780564, min values: -2.7688682710567485, max values: 3.1888787873512885, median values: -0.4993272111698211, and quantile values: 0.25 -1.186343\n0.50 -0.499327\n0.75 0.334563\nName: 1345, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12219058937162897, std values: 0.9080151503758068, min values: -3.28024538647024, max values: 3.20751086257212, median values: -0.1768385025101029, and quantile values: 0.25 -0.797138\n0.50 -0.176839\n0.75 0.507256\nName: 1346, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.025215536935675242, std values: 0.7952487989988066, min values: -2.801183634509044, max values: 5.0, median values: -0.0747838040920871, and quantile values: 0.25 -0.533872\n0.50 -0.074784\n0.75 0.477750\nName: 1347, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4390157329545256, std values: 1.2288109841810693, min values: -2.510124273981921, max values: 3.8226908388056136, median values: 0.2833914219810964, and quantile values: 0.25 -0.367112\n0.50 0.283391\n0.75 1.244201\nName: 1348, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41524658867029907, std values: 1.02271148773273, min values: -2.62876542141649, max values: 3.076680642207697, median values: 0.3494342172319785, and quantile values: 0.25 -0.384870\n0.50 0.349434\n0.75 1.232110\nName: 1349, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.00942425473622211, std values: 0.8756998858895692, min values: -2.8282523283494294, max values: 4.0, median values: -0.0905729315330795, and quantile values: 0.25 -0.650073\n0.50 -0.090573\n0.75 0.582596\nName: 1350, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04769968215909551, std values: 0.8340832272688623, min values: -2.142854198138545, max values: 5.0, median values: -0.1071120773904178, and quantile values: 0.25 -0.609673\n0.50 -0.107112\n0.75 0.493709\nName: 1351, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10705676101070905, std values: 0.9170067825993203, min values: -3.0223671288921072, max values: 3.3014869995452325, median values: 0.0869685004533297, and quantile values: 0.25 -0.607088\n0.50 0.086969\n0.75 0.816314\nName: 1352, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7325485232087294, std values: 1.1627372564230485, min values: -2.697026421440041, max values: 4.0, median values: -0.7027657997480531, and quantile values: 0.25 -1.807418\n0.50 -0.702766\n0.75 0.165911\nName: 1353, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17862591892583546, std values: 1.392003775576585, min values: -3.0960472541202715, max values: 6.0, median values: 0.1477790882476567, and quantile values: 0.25 -1.680139\n0.50 0.147779\n0.75 0.839386\nName: 1354, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02221885769231842, std values: 0.8152770603062025, min values: -1.9668587727727207, max values: 6.0, median values: -0.0658389540829049, and quantile values: 0.25 -0.543025\n0.50 -0.065839\n0.75 0.542505\nName: 1355, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8475896768823427, std values: 0.9086494439444518, min values: -3.071284484560209, max values: 3.336438412828754, median values: -1.1009751035756683, and quantile values: 0.25 -1.555445\n0.50 -1.100975\n0.75 -0.332414\nName: 1356, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5595220295394933, std values: 0.9462565945042702, min values: -2.264034258932616, max values: 3.215720519334646, median values: 0.6376606863707116, and quantile values: 0.25 -0.113568\n0.50 0.637661\n0.75 1.265564\nName: 1357, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04207919797348266, std values: 0.8384303998722311, min values: -2.4176069991382847, max values: 6.0, median values: -0.04215280139777, and quantile values: 0.25 -0.501657\n0.50 -0.042153\n0.75 0.570929\nName: 1358, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3883793861110415, std values: 0.9663016770471282, min values: -2.72346435408924, max values: 4.0, median values: 0.4395002766201983, and quantile values: 0.25 -0.308269\n0.50 0.439500\n0.75 1.146861\nName: 1359, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1690788273664859, std values: 0.759418163302068, min values: -2.015650649816468, max values: 5.0, median values: 0.2056423649116046, and quantile values: 0.25 -0.346259\n0.50 0.205642\n0.75 0.667832\nName: 1360, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4092726494231097, std values: 0.953016891193682, min values: -2.64479559868397, max values: 6.0, median values: 0.5514801517190618, and quantile values: 0.25 -0.134030\n0.50 0.551480\n0.75 1.054797\nName: 1361, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10751872329016873, std values: 0.798339977089902, min values: -2.783691185534105, max values: 3.0148736195915853, median values: 0.1246066274831788, and quantile values: 0.25 -0.422022\n0.50 0.124607\n0.75 0.638212\nName: 1362, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3365548361861929, std values: 0.8598650986546666, min values: -2.1719217067124954, max values: 3.630507857092792, median values: -0.444660283068268, and quantile values: 0.25 -1.015934\n0.50 -0.444660\n0.75 0.250961\nName: 1363, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21725070111661268, std values: 0.8218104553196478, min values: -1.9878938033360591, max values: 3.379902545505621, median values: 0.2757235888401446, and quantile values: 0.25 -0.384609\n0.50 0.275724\n0.75 0.836198\nName: 1364, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3404488078674085, std values: 0.89061681655164, min values: -2.56026492390943, max values: 4.0, median values: 0.4196202872444259, and quantile values: 0.25 -0.260235\n0.50 0.419620\n0.75 0.987178\nName: 1365, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24274698325149913, std values: 0.8121171162843669, min values: -2.1840215034924912, max values: 3.477886732511886, median values: -0.2699618173263657, and quantile values: 0.25 -0.811574\n0.50 -0.269962\n0.75 0.231446\nName: 1366, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35180775554347027, std values: 0.8497264210052652, min values: -2.1144606839090367, max values: 3.405671179043623, median values: -0.445860764093083, and quantile values: 0.25 -0.942378\n0.50 -0.445861\n0.75 0.114095\nName: 1367, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7275166645168627, std values: 0.9553238649608935, min values: -2.537573835824454, max values: 6.0, median values: 0.6984010981485597, and quantile values: 0.25 0.096786\n0.50 0.698401\n0.75 1.402313\nName: 1368, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12750006213591086, std values: 0.7747537475253101, min values: -1.9730063726131395, max values: 5.0, median values: -0.1763247147222538, and quantile values: 0.25 -0.655488\n0.50 -0.176325\n0.75 0.347561\nName: 1369, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17743433229023786, std values: 0.8923201797385139, min values: -2.8246479422601736, max values: 6.0, median values: -0.1647419833798249, and quantile values: 0.25 -0.700338\n0.50 -0.164742\n0.75 0.360019\nName: 1370, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5870212441805499, std values: 1.040154903742803, min values: -2.6404955031131814, max values: 5.0, median values: -0.6934077397572155, and quantile values: 0.25 -1.372321\n0.50 -0.693408\n0.75 0.119996\nName: 1371, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.355260955090127, std values: 1.2871493655325263, min values: -3.0148736195915964, max values: 3.1801075704642923, median values: -0.0775733580125602, and quantile values: 0.25 -1.372394\n0.50 -0.077573\n0.75 0.568560\nName: 1372, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.008698306875938666, std values: 0.8359028725780214, min values: -2.482931728382393, max values: 3.05919958255637, median values: -0.0072704426988673, and quantile values: 0.25 -0.535999\n0.50 -0.007270\n0.75 0.489917\nName: 1373, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6256804602442791, std values: 1.04953701401174, min values: -2.345734881910413, max values: 4.0, median values: 0.663978801280926, and quantile values: 0.25 -0.139302\n0.50 0.663979\n0.75 1.440421\nName: 1374, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12234302324113736, std values: 1.2563104311032398, min values: -2.8246479422601736, max values: 5.0, median values: -0.0861668622501219, and quantile values: 0.25 -0.937470\n0.50 -0.086167\n0.75 0.762035\nName: 1375, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1751717354524539, std values: 0.7466391864040409, min values: -2.0814292562355328, max values: 3.0097288687560817, median values: -0.242130028316236, and quantile values: 0.25 -0.675424\n0.50 -0.242130\n0.75 0.280058\nName: 1376, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02464854494071852, std values: 1.1293792313388802, min values: -2.783691185534105, max values: 3.5581019918925243, median values: -0.1404982752883571, and quantile values: 0.25 -0.957488\n0.50 -0.140498\n0.75 0.790724\nName: 1377, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16511994654485085, std values: 0.9242740556052774, min values: -2.077797959314264, max values: 5.0, median values: -0.3022679432083369, and quantile values: 0.25 -0.846298\n0.50 -0.302268\n0.75 0.438203\nName: 1378, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.557122596647007, std values: 0.7671315281711273, min values: -2.147228856409125, max values: 3.155170554159904, median values: 0.6651153640817002, and quantile values: 0.25 0.066320\n0.50 0.665115\n0.75 1.075583\nName: 1379, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5853038666710374, std values: 0.878446172055699, min values: -2.042232852423856, max values: 3.518664430018096, median values: 0.7045420869184182, and quantile values: 0.25 -0.012243\n0.50 0.704542\n0.75 1.238666\nName: 1380, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2857685603458388, std values: 0.9628452901093941, min values: -2.0868208093096303, max values: 4.243835016543704, median values: 0.1905064020270965, and quantile values: 0.25 -0.375373\n0.50 0.190506\n0.75 0.930797\nName: 1381, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13679889219281904, std values: 0.8929820629977052, min values: -2.610097161345549, max values: 4.0, median values: -0.0642828281717916, and quantile values: 0.25 -0.731734\n0.50 -0.064283\n0.75 0.481025\nName: 1382, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.168474845903017, std values: 0.8460600341824568, min values: -2.4564928597243227, max values: 4.0, median values: 0.2317070619090604, and quantile values: 0.25 -0.428671\n0.50 0.231707\n0.75 0.793874\nName: 1383, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18965319400165082, std values: 0.822950961228215, min values: -2.212004168819108, max values: 3.306454397423372, median values: -0.2899419080577367, and quantile values: 0.25 -0.728957\n0.50 -0.289942\n0.75 0.310696\nName: 1384, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04575787263895473, std values: 0.7899283616127712, min values: -2.579952672199424, max values: 6.0, median values: -0.010492670806063, and quantile values: 0.25 -0.470263\n0.50 -0.010493\n0.75 0.541683\nName: 1385, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36407133616535425, std values: 0.7998336568528129, min values: -2.090851036172633, max values: 5.0, median values: -0.4451554391533331, and quantile values: 0.25 -0.939866\n0.50 -0.445155\n0.75 0.096648\nName: 1386, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3271307946887267, std values: 1.0939606801909811, min values: -2.949186837165601, max values: 4.0, median values: -0.3155762064322099, and quantile values: 0.25 -1.057518\n0.50 -0.315576\n0.75 0.447428\nName: 1387, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4642780946457196, std values: 0.7371205140199351, min values: -2.783691185534105, max values: 3.721862465295849, median values: 0.5098570483783961, and quantile values: 0.25 0.042892\n0.50 0.509857\n0.75 0.930484\nName: 1388, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15751746598861424, std values: 1.0032325790353762, min values: -2.6412681606926487, max values: 3.4217036547572275, median values: -0.0628855706267792, and quantile values: 0.25 -0.786660\n0.50 -0.062886\n0.75 0.519351\nName: 1389, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4246769501142217, std values: 0.8524043786016023, min values: -2.475778245535816, max values: 4.026668017837955, median values: 0.4085622896155746, and quantile values: 0.25 -0.120611\n0.50 0.408562\n0.75 0.959352\nName: 1390, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4477750971570736, std values: 0.9840812076689689, min values: -2.579952672199424, max values: 6.0, median values: 0.429972017583486, and quantile values: 0.25 -0.261194\n0.50 0.429972\n0.75 1.217649\nName: 1391, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.572709292293573, std values: 0.8622205098761111, min values: -2.2915911556076085, max values: 3.5581019918925243, median values: 0.5989176798437212, and quantile values: 0.25 0.028727\n0.50 0.598918\n0.75 1.128781\nName: 1392, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1584076057408366, std values: 0.7979370511821864, min values: -2.09185204719853, max values: 3.405671179043623, median values: -0.1635105618350864, and quantile values: 0.25 -0.724218\n0.50 -0.163511\n0.75 0.339119\nName: 1393, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28576057685863165, std values: 0.839185730063471, min values: -2.03470161809669, max values: 6.0, median values: 0.3417202534379192, and quantile values: 0.25 -0.265647\n0.50 0.341720\n0.75 0.835164\nName: 1394, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14544681841485252, std values: 1.0320810915168899, min values: -2.055430953058359, max values: 3.9905524164385566, median values: -0.2552560598228414, and quantile values: 0.25 -1.016565\n0.50 -0.255256\n0.75 0.615058\nName: 1395, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01920771267283459, std values: 1.291029257970877, min values: -2.6404955031131814, max values: 6.0, median values: -0.138681470180931, and quantile values: 0.25 -1.077913\n0.50 -0.138681\n0.75 1.012456\nName: 1396, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23434949343527206, std values: 0.9816051748992763, min values: -2.869671295224012, max values: 6.0, median values: -0.287182308376291, and quantile values: 0.25 -0.957749\n0.50 -0.287182\n0.75 0.476379\nName: 1397, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0674794458914716, std values: 0.8413144026378635, min values: -2.245752867605861, max values: 3.3014869995452325, median values: -0.1487913153909891, and quantile values: 0.25 -0.685456\n0.50 -0.148791\n0.75 0.461667\nName: 1398, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43260207405022993, std values: 0.77759474849283, min values: -2.8350118695332047, max values: 5.0, median values: 0.4463720773008138, and quantile values: 0.25 -0.064993\n0.50 0.446372\n0.75 0.929720\nName: 1399, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22267706026772008, std values: 1.0610079560099523, min values: -3.05087304133376, max values: 5.0, median values: -0.1758035849393818, and quantile values: 0.25 -0.795580\n0.50 -0.175804\n0.75 0.492216\nName: 1400, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16981235491548238, std values: 1.033071572824549, min values: -2.5624611946462936, max values: 5.0, median values: 0.2078950417874044, and quantile values: 0.25 -0.556687\n0.50 0.207895\n0.75 0.990447\nName: 1401, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12299609741118779, std values: 0.9236128271281933, min values: -2.1017566422541964, max values: 3.518664430018096, median values: -0.116878203385242, and quantile values: 0.25 -0.815881\n0.50 -0.116878\n0.75 0.489632\nName: 1402, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23954477645696426, std values: 1.0904860189735022, min values: -2.8531572940820533, max values: 6.0, median values: 0.3706050041440946, and quantile values: 0.25 -0.307786\n0.50 0.370605\n0.75 0.956510\nName: 1403, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4937313604370438, std values: 0.9599210149917557, min values: -2.058083533069946, max values: 3.071284484560209, median values: 0.5782327221935986, and quantile values: 0.25 -0.151019\n0.50 0.578233\n0.75 1.195410\nName: 1404, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3618811167165814, std values: 0.7473004207711694, min values: -2.5906203367024587, max values: 3.3337116327022187, median values: -0.4611771684485594, and quantile values: 0.25 -0.884995\n0.50 -0.461177\n0.75 0.076556\nName: 1405, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16216275192495397, std values: 0.9519614699878468, min values: -2.673124659932621, max values: 6.0, median values: 0.219760812959204, and quantile values: 0.25 -0.395604\n0.50 0.219761\n0.75 0.772663\nName: 1406, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08262227492179597, std values: 0.8209396233788069, min values: -2.1165253231698347, max values: 4.0, median values: 0.0658460108975455, and quantile values: 0.25 -0.465040\n0.50 0.065846\n0.75 0.590484\nName: 1407, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33967597554491236, std values: 0.9408475802038764, min values: -2.083555534231988, max values: 6.0, median values: 0.4086221632072289, and quantile values: 0.25 -0.334281\n0.50 0.408622\n0.75 1.054412\nName: 1408, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12206871873203577, std values: 0.8576067208040286, min values: -2.1120852507752783, max values: 5.0, median values: 0.1732031343120505, and quantile values: 0.25 -0.508948\n0.50 0.173203\n0.75 0.729673\nName: 1409, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17945784827801023, std values: 0.7472586730685485, min values: -2.8451834694312192, max values: 3.434669824302974, median values: -0.2358182513963101, and quantile values: 0.25 -0.686919\n0.50 -0.235818\n0.75 0.279949\nName: 1410, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1713929822573212, std values: 0.8189386494062731, min values: -2.783691185534105, max values: 2.883469967826547, median values: 0.1697656237004988, and quantile values: 0.25 -0.363248\n0.50 0.169766\n0.75 0.702131\nName: 1411, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1276644569736801, std values: 1.088904696006771, min values: -2.6270253558526173, max values: 4.0, median values: -0.2341688739395294, and quantile values: 0.25 -0.974216\n0.50 -0.234169\n0.75 0.558925\nName: 1412, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0014157087348243272, std values: 0.8545024419215811, min values: -2.386908851828305, max values: 3.405671179043623, median values: -0.0559339577287137, and quantile values: 0.25 -0.561130\n0.50 -0.055934\n0.75 0.515564\nName: 1413, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4747716261198284, std values: 1.143168333361703, min values: -2.128045234184984, max values: 3.5427287984042666, median values: 0.5271251304014, and quantile values: 0.25 -0.440993\n0.50 0.527125\n0.75 1.421993\nName: 1414, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23346677941062977, std values: 0.8703006023679074, min values: -2.268978866354143, max values: 3.0, median values: -0.3177878428993933, and quantile values: 0.25 -0.848769\n0.50 -0.317788\n0.75 0.311182\nName: 1415, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6001175303515701, std values: 1.275749461001452, min values: -2.949186837165601, max values: 4.0, median values: -0.4697711247143959, and quantile values: 0.25 -1.777950\n0.50 -0.469771\n0.75 0.315427\nName: 1416, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43060242091123335, std values: 0.8019328487563493, min values: -2.1525285902534432, max values: 5.0, median values: -0.5300331708428441, and quantile values: 0.25 -0.984313\n0.50 -0.530033\n0.75 0.025741\nName: 1417, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41974536996432504, std values: 0.7516590101293968, min values: -1.9581040438851167, max values: 3.630507857092792, median values: 0.4296397713438667, and quantile values: 0.25 -0.027515\n0.50 0.429640\n0.75 0.880959\nName: 1418, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.033396125197467666, std values: 1.179897174048359, min values: -2.641174291463747, max values: 6.0, median values: -0.1523843981886078, and quantile values: 0.25 -0.850761\n0.50 -0.152384\n0.75 0.831380\nName: 1419, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49565810123895915, std values: 1.311646792419684, min values: -2.697026421440041, max values: 4.0, median values: -0.3422420344697738, and quantile values: 0.25 -1.817728\n0.50 -0.342242\n0.75 0.434378\nName: 1420, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16874929292680832, std values: 0.8379478349926041, min values: -2.130927700612447, max values: 3.1227871431249503, median values: -0.2277202018651433, and quantile values: 0.25 -0.733380\n0.50 -0.227720\n0.75 0.367524\nName: 1421, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23623718141090028, std values: 0.9413099853765825, min values: -2.486556664247513, max values: 3.8226908388056136, median values: -0.2587254696271122, and quantile values: 0.25 -0.904309\n0.50 -0.258725\n0.75 0.418614\nName: 1422, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4838274844669429, std values: 0.8902913277369329, min values: -2.0903611962432427, max values: 5.0, median values: 0.53305466771679, and quantile values: 0.25 -0.108137\n0.50 0.533055\n0.75 1.081045\nName: 1423, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20911904729704944, std values: 0.8479887018422232, min values: -2.783691185534105, max values: 3.362228250221886, median values: 0.2457331412471343, and quantile values: 0.25 -0.341425\n0.50 0.245733\n0.75 0.744147\nName: 1424, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0335663730954373, std values: 0.8996240850208005, min values: -2.572123985342288, max values: 5.0, median values: 0.0544445681806819, and quantile values: 0.25 -0.550132\n0.50 0.054445\n0.75 0.594258\nName: 1425, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4097706946835064, std values: 0.8100694447778912, min values: -2.142854198138545, max values: 5.0, median values: -0.5095434551111702, and quantile values: 0.25 -1.010719\n0.50 -0.509543\n0.75 0.104418\nName: 1426, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14328862169192863, std values: 0.7205617154942769, min values: -2.349293916724472, max values: 3.0418703198091483, median values: 0.1792447204810249, and quantile values: 0.25 -0.340491\n0.50 0.179245\n0.75 0.610734\nName: 1427, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18204070495194402, std values: 0.853425937570514, min values: -2.6117120822772133, max values: 5.0, median values: -0.2613651446041629, and quantile values: 0.25 -0.802638\n0.50 -0.261365\n0.75 0.354477\nName: 1428, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9474919758993734, std values: 1.372093799359431, min values: -2.727901130262228, max values: 4.0, median values: -1.653220032231505, and quantile values: 0.25 -2.140406\n0.50 -1.653220\n0.75 0.271904\nName: 1429, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2961035738792294, std values: 1.0029382975100687, min values: -2.982771139679002, max values: 4.0, median values: -0.2719616525679781, and quantile values: 0.25 -0.881656\n0.50 -0.271962\n0.75 0.315030\nName: 1430, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24527491718540073, std values: 0.7733074304545424, min values: -2.5631847770497496, max values: 4.0, median values: 0.216542179472934, and quantile values: 0.25 -0.259608\n0.50 0.216542\n0.75 0.726945\nName: 1431, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16843907084236281, std values: 1.0362573090413862, min values: -2.6072570508709387, max values: 4.026668017837955, median values: 0.1375785608688602, and quantile values: 0.25 -0.426030\n0.50 0.137579\n0.75 0.832449\nName: 1432, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5554672504538131, std values: 1.067517045984395, min values: -2.629840423599168, max values: 3.709787027503053, median values: 0.6902004874024639, and quantile values: 0.25 -0.046695\n0.50 0.690200\n0.75 1.266535\nName: 1433, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2206593471595563, std values: 1.0730392312510244, min values: -3.2119459948042475, max values: 3.667275230673496, median values: 0.3927719528205098, and quantile values: 0.25 -0.481180\n0.50 0.392772\n0.75 1.025804\nName: 1434, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1991903259991919, std values: 0.8494638873550612, min values: -2.536941606705235, max values: 4.0, median values: 0.1999095678748547, and quantile values: 0.25 -0.411658\n0.50 0.199910\n0.75 0.814699\nName: 1435, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15792690325001002, std values: 0.791566919448834, min values: -2.1248753939751497, max values: 3.3483277116524426, median values: -0.1638077161668651, and quantile values: 0.25 -0.703301\n0.50 -0.163808\n0.75 0.306819\nName: 1436, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22612406743947258, std values: 0.9393980827914542, min values: -2.33940590171048, max values: 4.0, median values: 0.2020951358882537, and quantile values: 0.25 -0.479241\n0.50 0.202095\n0.75 0.956062\nName: 1437, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2098406365366282, std values: 0.9199701038437156, min values: -2.9029979285382743, max values: 6.0, median values: 0.1896090830012848, and quantile values: 0.25 -0.354415\n0.50 0.189609\n0.75 0.793195\nName: 1438, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2770487066854672, std values: 0.8224674921667658, min values: -2.016491303607746, max values: 3.3636961113187773, median values: 0.3247310919288431, and quantile values: 0.25 -0.244259\n0.50 0.324731\n0.75 0.776651\nName: 1439, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41855209463191684, std values: 0.8780479990081251, min values: -1.966110296841946, max values: 4.0, median values: 0.4782598701162847, and quantile values: 0.25 -0.192094\n0.50 0.478260\n0.75 1.080748\nName: 1440, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05394478133236053, std values: 0.8073430513048464, min values: -2.1139459297101, max values: 3.867701659180865, median values: 0.0555696720029345, and quantile values: 0.25 -0.489472\n0.50 0.055570\n0.75 0.569790\nName: 1441, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0039842206526414, std values: 0.7582630673172414, min values: -2.919359491767569, max values: 6.0, median values: -0.0376000200238853, and quantile values: 0.25 -0.468971\n0.50 -0.037600\n0.75 0.429163\nName: 1442, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.015071547011434514, std values: 0.9873212795030311, min values: -2.610097161345549, max values: 4.0, median values: 0.0853057383852591, and quantile values: 0.25 -0.663242\n0.50 0.085306\n0.75 0.716070\nName: 1443, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17011552010641967, std values: 0.9859495824870288, min values: -2.724017888297919, max values: 3.3760121766849016, median values: 0.1885437148533294, and quantile values: 0.25 -0.488117\n0.50 0.188544\n0.75 0.854646\nName: 1444, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1844826532912669, std values: 1.2086906994348823, min values: -2.8531572940820533, max values: 6.0, median values: 0.4825404016502057, and quantile values: 0.25 -0.349649\n0.50 0.482540\n0.75 1.038932\nName: 1445, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16150728410982976, std values: 0.7950378076858093, min values: -2.5631960397140583, max values: 4.0, median values: 0.1522487553755861, and quantile values: 0.25 -0.352627\n0.50 0.152249\n0.75 0.646947\nName: 1446, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22931399292781887, std values: 0.9181608436608022, min values: -2.196708653609315, max values: 6.0, median values: 0.2828010024969723, and quantile values: 0.25 -0.441752\n0.50 0.282801\n0.75 0.864925\nName: 1447, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06510229720847584, std values: 0.889860444056884, min values: -2.0592638469240065, max values: 3.349054967837474, median values: 0.0382499531682663, and quantile values: 0.25 -0.582731\n0.50 0.038250\n0.75 0.617086\nName: 1448, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4418159960301259, std values: 0.9090631109982577, min values: -1.897508577210621, max values: 5.0, median values: 0.4811767014707485, and quantile values: 0.25 -0.243602\n0.50 0.481177\n0.75 1.164305\nName: 1449, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5507277704346742, std values: 0.9752427581378317, min values: -2.2065783767301927, max values: 6.0, median values: 0.5878947442684651, and quantile values: 0.25 -0.175893\n0.50 0.587895\n0.75 1.318413\nName: 1450, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16029372679657727, std values: 0.9993342400305655, min values: -2.8282523283494294, max values: 4.0, median values: -0.1129858807413699, and quantile values: 0.25 -0.647082\n0.50 -0.112986\n0.75 0.457167\nName: 1451, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37502411708572414, std values: 0.9089318510397242, min values: -2.558791007225312, max values: 3.2071942083719924, median values: 0.4798812989517196, and quantile values: 0.25 -0.151186\n0.50 0.479881\n0.75 0.993564\nName: 1452, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11193779899419916, std values: 0.824043185593617, min values: -2.0688202952550605, max values: 3.0, median values: 0.1078639629530854, and quantile values: 0.25 -0.446513\n0.50 0.107864\n0.75 0.624020\nName: 1453, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11090241964182611, std values: 0.9236175609052301, min values: -3.5073564001364024, max values: 3.627976272701048, median values: -0.2432645257455768, and quantile values: 0.25 -0.842996\n0.50 -0.243265\n0.75 0.530060\nName: 1454, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.46452002595881026, std values: 1.092990636022411, min values: -2.769191083399913, max values: 3.630507857092792, median values: 0.4699558747407097, and quantile values: 0.25 -0.178029\n0.50 0.469956\n0.75 1.246833\nName: 1455, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4515721722734524, std values: 0.8335824308402139, min values: -3.0223671288921072, max values: 3.247416277295021, median values: 0.5341446879040895, and quantile values: 0.25 -0.085140\n0.50 0.534145\n0.75 1.045999\nName: 1456, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08868381228927358, std values: 0.9098729132208778, min values: -2.1672848631004347, max values: 6.0, median values: 0.0294528502562333, and quantile values: 0.25 -0.539003\n0.50 0.029453\n0.75 0.639225\nName: 1457, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4927574208881888, std values: 1.0556043905428376, min values: -2.688157591415518, max values: 4.0, median values: 0.5848100563170501, and quantile values: 0.25 -0.251376\n0.50 0.584810\n0.75 1.333142\nName: 1458, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03848503272627975, std values: 0.9365704865410467, min values: -2.240740315114864, max values: 4.0, median values: -0.0493980709070935, and quantile values: 0.25 -0.695943\n0.50 -0.049398\n0.75 0.697277\nName: 1459, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43265474776916213, std values: 0.7616945963773569, min values: -2.349293916724472, max values: 4.026668017837955, median values: 0.493677824316525, and quantile values: 0.25 -0.059642\n0.50 0.493678\n0.75 0.945234\nName: 1460, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25261357019351977, std values: 0.7678102106828266, min values: -1.9498130893415904, max values: 5.0, median values: 0.197996063714333, and quantile values: 0.25 -0.271790\n0.50 0.197996\n0.75 0.738254\nName: 1461, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4649811322229243, std values: 1.0054143700616556, min values: -2.7428415536925543, max values: 5.0, median values: 0.555305082444243, and quantile values: 0.25 -0.146508\n0.50 0.555305\n0.75 1.222246\nName: 1462, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22380031888723675, std values: 0.8335040128065523, min values: -2.657750824678472, max values: 5.0, median values: -0.2658676579674691, and quantile values: 0.25 -0.740908\n0.50 -0.265868\n0.75 0.284425\nName: 1463, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01063565374350319, std values: 1.1870347822097485, min values: -2.7510671817729784, max values: 6.0, median values: -0.0241804542243985, and quantile values: 0.25 -0.845906\n0.50 -0.024180\n0.75 0.786982\nName: 1464, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23135457698996426, std values: 0.8053457117288939, min values: -2.580492024304656, max values: 3.0, median values: -0.30593095279729, and quantile values: 0.25 -0.794802\n0.50 -0.305931\n0.75 0.302239\nName: 1465, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3764180856469258, std values: 1.1510701184340921, min values: -2.9029979285382743, max values: 3.1395741599540568, median values: -0.2637406309823248, and quantile values: 0.25 -1.162036\n0.50 -0.263741\n0.75 0.464733\nName: 1466, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4185700132990868, std values: 0.9210213910290582, min values: -2.169311742921253, max values: 6.0, median values: 0.4926826042893819, and quantile values: 0.25 -0.242782\n0.50 0.492683\n0.75 1.141520\nName: 1467, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3828917215393386, std values: 0.9529352187446086, min values: -2.556631690482005, max values: 3.784832159836258, median values: 0.4230037580380869, and quantile values: 0.25 -0.310985\n0.50 0.423004\n0.75 1.076467\nName: 1468, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11783702651471215, std values: 0.9415247652795873, min values: -2.9029979285382743, max values: 6.0, median values: -0.1288263486668407, and quantile values: 0.25 -0.760456\n0.50 -0.128826\n0.75 0.432269\nName: 1469, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29001694898781005, std values: 0.8130383516808984, min values: -2.300042081328127, max values: 4.0, median values: 0.3449004748838919, and quantile values: 0.25 -0.286795\n0.50 0.344900\n0.75 0.895803\nName: 1470, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29488782184120327, std values: 0.9727336829009117, min values: -2.0922737152526745, max values: 3.0651860794139534, median values: 0.2291649815110034, and quantile values: 0.25 -0.396527\n0.50 0.229165\n0.75 0.917737\nName: 1471, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5304204874196915, std values: 0.8361522116713872, min values: -2.3771558481240653, max values: 4.0, median values: 0.5626588080978678, and quantile values: 0.25 -0.003828\n0.50 0.562659\n0.75 1.105327\nName: 1472, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.012743619320973742, std values: 0.9869858217715829, min values: -2.733804248449497, max values: 3.528773265847577, median values: 0.0572030475236344, and quantile values: 0.25 -0.682389\n0.50 0.057203\n0.75 0.772377\nName: 1473, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14383445410468337, std values: 1.0193464779170547, min values: -2.642042398333877, max values: 3.1166497049712243, median values: 0.0638519499972242, and quantile values: 0.25 -0.474024\n0.50 0.063852\n0.75 0.809024\nName: 1474, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4299285429779516, std values: 0.8959096794405289, min values: -1.8918226667770155, max values: 3.17157439250477, median values: 0.3570195816343882, and quantile values: 0.25 -0.182324\n0.50 0.357020\n0.75 1.080452\nName: 1475, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4970448315537998, std values: 0.8429826699481424, min values: -2.3771558481240653, max values: 4.0, median values: -0.6595951579992999, and quantile values: 0.25 -1.144949\n0.50 -0.659595\n0.75 0.065701\nName: 1476, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25563178036058626, std values: 0.9556092898995042, min values: -2.1052796288777285, max values: 3.215720519334646, median values: -0.3100025752217147, and quantile values: 0.25 -1.074601\n0.50 -0.310003\n0.75 0.421951\nName: 1477, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03870424038908159, std values: 0.8618531782473368, min values: -2.541693081833126, max values: 3.2936960268109283, median values: 0.0369386173130276, and quantile values: 0.25 -0.557185\n0.50 0.036939\n0.75 0.610038\nName: 1478, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0013864626315172454, std values: 0.767987053937371, min values: -2.1317706126061804, max values: 2.9078251235230463, median values: 0.0064442438585896, and quantile values: 0.25 -0.494829\n0.50 0.006444\n0.75 0.479387\nName: 1479, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0775785190786556, std values: 0.919182455884543, min values: -2.1317706126061804, max values: 3.784832159836258, median values: 0.0244848955798838, and quantile values: 0.25 -0.631307\n0.50 0.024485\n0.75 0.744957\nName: 1480, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5113508524452771, std values: 1.0235255320596268, min values: -2.8531572940820533, max values: 6.0, median values: -0.5741590316333172, and quantile values: 0.25 -1.170847\n0.50 -0.574159\n0.75 0.158038\nName: 1481, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.028917195611163238, std values: 0.8757831388161798, min values: -2.7016525309724218, max values: 3.281452258958016, median values: -0.0920443921571582, and quantile values: 0.25 -0.618660\n0.50 -0.092044\n0.75 0.527994\nName: 1482, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7417401837060682, std values: 0.9068792084229621, min values: -2.5689076212724418, max values: 5.0, median values: 0.8118157117124565, and quantile values: 0.25 0.109633\n0.50 0.811816\n0.75 1.433388\nName: 1483, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34242875999415895, std values: 0.8344651965709456, min values: -2.641174291463747, max values: 6.0, median values: -0.4228745292518108, and quantile values: 0.25 -0.863685\n0.50 -0.422875\n0.75 0.170974\nName: 1484, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18889834139719974, std values: 0.8869459471125293, min values: -2.3184884946917497, max values: 6.0, median values: -0.277567010192698, and quantile values: 0.25 -0.819420\n0.50 -0.277567\n0.75 0.348795\nName: 1485, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4239116844511592, std values: 0.8048952321619826, min values: -2.5689076212724418, max values: 5.0, median values: 0.4199348204588443, and quantile values: 0.25 -0.067978\n0.50 0.419935\n0.75 0.928722\nName: 1486, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4144366823467152, std values: 0.8279294663197567, min values: -2.949186837165601, max values: 4.0, median values: -0.4672390238958863, and quantile values: 0.25 -0.932737\n0.50 -0.467239\n0.75 0.085835\nName: 1487, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06721061162267576, std values: 0.8266371594736867, min values: -2.2915911556076085, max values: 3.397048482165858, median values: 0.0957714090194296, and quantile values: 0.25 -0.516108\n0.50 0.095771\n0.75 0.579462\nName: 1488, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4515758829960556, std values: 1.2533834069345657, min values: -2.933035609461076, max values: 5.0, median values: 0.6226426233109488, and quantile values: 0.25 -0.288460\n0.50 0.622643\n0.75 1.422253\nName: 1489, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08241751261202901, std values: 0.7799443636825393, min values: -2.264034258932616, max values: 3.20751086257212, median values: -0.0030724904146963, and quantile values: 0.25 -0.418949\n0.50 -0.003072\n0.75 0.572351\nName: 1490, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33489172099791836, std values: 0.8869990730584109, min values: -2.5122218748354936, max values: 3.867701659180865, median values: 0.4117097868966048, and quantile values: 0.25 -0.142142\n0.50 0.411710\n0.75 0.909627\nName: 1491, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.004361688017005125, std values: 0.8839208908321101, min values: -2.055430953058359, max values: 3.191712471143802, median values: -0.0127629789043797, and quantile values: 0.25 -0.691245\n0.50 -0.012763\n0.75 0.689026\nName: 1492, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.642890886272596, std values: 0.9997370265429443, min values: -2.0744709221036657, max values: 3.2266531185902125, median values: 0.7047541496921226, and quantile values: 0.25 -0.096399\n0.50 0.704754\n0.75 1.467351\nName: 1493, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43545202269755623, std values: 0.818811836241969, min values: -2.0361839973702067, max values: 5.0, median values: -0.5451075739948834, and quantile values: 0.25 -1.022864\n0.50 -0.545108\n0.75 0.021840\nName: 1494, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.034345039063966305, std values: 0.7665162868509922, min values: -2.5046447434119337, max values: 4.0, median values: 0.0097375697241989, and quantile values: 0.25 -0.554978\n0.50 0.009738\n0.75 0.454282\nName: 1495, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1708222901104242, std values: 1.0839928931432958, min values: -2.92272757463548, max values: 6.0, median values: -0.0432502015466246, and quantile values: 0.25 -0.650544\n0.50 -0.043250\n0.75 0.480530\nName: 1496, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18334792112067658, std values: 0.7549827408346899, min values: -2.0297074151331134, max values: 6.0, median values: -0.240535263340051, and quantile values: 0.25 -0.704883\n0.50 -0.240535\n0.75 0.277224\nName: 1497, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.019032079140863443, std values: 0.7964103474530589, min values: -2.919359491767569, max values: 6.0, median values: 0.0354229632414106, and quantile values: 0.25 -0.481180\n0.50 0.035423\n0.75 0.458361\nName: 1498, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.017821178729339218, std values: 0.8502633408220275, min values: -2.221075353514828, max values: 3.4217036547572275, median values: -0.0317937641140174, and quantile values: 0.25 -0.532319\n0.50 -0.031794\n0.75 0.493499\nName: 1499, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.127107390672443, std values: 1.3527708365955347, min values: -2.837386543755612, max values: 4.0, median values: 0.0684058869435359, and quantile values: 0.25 -1.346246\n0.50 0.068406\n0.75 1.004439\nName: 1500, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20841501326373157, std values: 0.9122573107631351, min values: -2.623568901859613, max values: 4.0, median values: -0.0960669879496156, and quantile values: 0.25 -0.826448\n0.50 -0.096067\n0.75 0.479294\nName: 1501, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1998485295685624, std values: 1.0612269537876948, min values: -2.551984761784479, max values: 3.0774992973297404, median values: -0.3009421863088679, and quantile values: 0.25 -1.103533\n0.50 -0.300942\n0.75 0.700089\nName: 1502, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.001045676316567466, std values: 1.0824551403651228, min values: -2.9265160609644223, max values: 6.0, median values: 0.0264028087704323, and quantile values: 0.25 -0.621722\n0.50 0.026403\n0.75 0.691125\nName: 1503, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45573684633619244, std values: 1.1609588305256107, min values: -2.6820581866633817, max values: 3.630507857092792, median values: -0.3466546259254955, and quantile values: 0.25 -1.256234\n0.50 -0.346655\n0.75 0.360271\nName: 1504, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41922048353680685, std values: 0.9142843474103974, min values: -2.724017888297919, max values: 3.415255285860171, median values: -0.5156180816663811, and quantile values: 0.25 -0.998818\n0.50 -0.515618\n0.75 0.119853\nName: 1505, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4711751729008824, std values: 0.9883703911987026, min values: -2.6466193392086392, max values: 4.278004674434932, median values: 0.644911037604259, and quantile values: 0.25 -0.090480\n0.50 0.644911\n0.75 1.167103\nName: 1506, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.060304700274082225, std values: 0.853047108790027, min values: -3.002493140275396, max values: 5.0, median values: 0.002616237725163, and quantile values: 0.25 -0.586128\n0.50 0.002616\n0.75 0.649056\nName: 1507, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20031603893248662, std values: 0.907233383255907, min values: -3.0363117572416627, max values: 3.434669824302974, median values: 0.1348823432352341, and quantile values: 0.25 -0.383928\n0.50 0.134882\n0.75 0.756459\nName: 1508, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34510783463173744, std values: 0.9223844986915853, min values: -2.579952672199424, max values: 6.0, median values: 0.2462807191186455, and quantile values: 0.25 -0.315179\n0.50 0.246281\n0.75 0.961001\nName: 1509, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08328622377785912, std values: 0.9796969418433377, min values: -2.8451834694312192, max values: 3.1995118554872866, median values: 0.2008367934280839, and quantile values: 0.25 -0.452770\n0.50 0.200837\n0.75 0.715093\nName: 1510, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.809047655941927, std values: 1.2209917127330916, min values: -3.21990804472754, max values: 5.0, median values: -2.1120852507752783, and quantile values: 0.25 -2.371618\n0.50 -2.112085\n0.75 -1.869108\nName: 1511, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.007148860142156387, std values: 0.8324247174018397, min values: -2.579952672199424, max values: 6.0, median values: -0.013282982102371, and quantile values: 0.25 -0.583381\n0.50 -0.013283\n0.75 0.516108\nName: 1512, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1725352859399378, std values: 0.8652841466216246, min values: -2.209283142861864, max values: 6.0, median values: -0.2930273997060214, and quantile values: 0.25 -0.838883\n0.50 -0.293027\n0.75 0.427466\nName: 1513, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.049653544397768604, std values: 0.8889496848648348, min values: -2.196708653609315, max values: 6.0, median values: 0.0044889231041951, and quantile values: 0.25 -0.567718\n0.50 0.004489\n0.75 0.583633\nName: 1514, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3016971243015276, std values: 0.9205142983377741, min values: -2.673124659932621, max values: 6.0, median values: -0.367594241237425, and quantile values: 0.25 -0.953974\n0.50 -0.367594\n0.75 0.313341\nName: 1515, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7023056151553265, std values: 0.9386794124266258, min values: -2.525362520654854, max values: 5.0, median values: 0.8236245271041822, and quantile values: 0.25 0.070476\n0.50 0.823625\n0.75 1.396099\nName: 1516, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22260223844335322, std values: 0.9457556915922227, min values: -2.801183634509044, max values: 5.0, median values: 0.1171996758613542, and quantile values: 0.25 -0.476088\n0.50 0.117200\n0.75 0.895263\nName: 1517, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29763321164087453, std values: 0.909759515254534, min values: -2.632854336056873, max values: 3.197902420311553, median values: 0.3592371635557896, and quantile values: 0.25 -0.304714\n0.50 0.359237\n0.75 0.936018\nName: 1518, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3382293671040332, std values: 0.9276625463462999, min values: -2.196708653609315, max values: 6.0, median values: -0.5097316050564024, and quantile values: 0.25 -1.046094\n0.50 -0.509732\n0.75 0.274545\nName: 1519, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.018788619983283, std values: 0.8600832654054407, min values: -2.673124659932621, max values: 6.0, median values: -0.0428367289966147, and quantile values: 0.25 -0.499753\n0.50 -0.042837\n0.75 0.541478\nName: 1520, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.8994859165481222, std values: 1.1927216126810773, min values: -3.0148736195915964, max values: 4.278004674434932, median values: -2.192472334639188, and quantile values: 0.25 -2.497628\n0.50 -2.192472\n0.75 -1.935643\nName: 1521, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2299287583748974, std values: 0.9376584497502902, min values: -3.0223671288921072, max values: 3.9905524164385566, median values: 0.2576496733424346, and quantile values: 0.25 -0.482132\n0.50 0.257650\n0.75 0.987402\nName: 1522, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7466917070446756, std values: 1.1162852464244684, min values: -2.6899145007874274, max values: 4.278004674434932, median values: 0.7138421020345512, and quantile values: 0.25 0.003993\n0.50 0.713842\n0.75 1.500661\nName: 1523, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36258062444184425, std values: 1.1366055218032283, min values: -2.610097161345549, max values: 4.0, median values: 0.5602921833435748, and quantile values: 0.25 -0.296381\n0.50 0.560292\n0.75 1.204120\nName: 1524, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14270496610262506, std values: 0.7897134256006291, min values: -2.601639132009086, max values: 6.0, median values: -0.1452467963131702, and quantile values: 0.25 -0.690525\n0.50 -0.145247\n0.75 0.334601\nName: 1525, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.009797774324423863, std values: 1.0168842312825026, min values: -2.9029979285382743, max values: 6.0, median values: 0.1062713486460492, and quantile values: 0.25 -0.674356\n0.50 0.106271\n0.75 0.724525\nName: 1526, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06816520398682915, std values: 0.8720197402043482, min values: -2.1232100101643527, max values: 6.0, median values: -0.0382063202847929, and quantile values: 0.25 -0.669735\n0.50 -0.038206\n0.75 0.532793\nName: 1527, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12401331180549227, std values: 1.115885454982999, min values: -2.8563982925340614, max values: 4.0, median values: 0.1820167332817641, and quantile values: 0.25 -0.505346\n0.50 0.182017\n0.75 0.788465\nName: 1528, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24655225566324623, std values: 0.8848739069319744, min values: -2.087432639025188, max values: 5.0, median values: -0.3441114533460493, and quantile values: 0.25 -0.949850\n0.50 -0.344111\n0.75 0.348468\nName: 1529, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2973691954002508, std values: 1.0075870065738002, min values: -2.769191083399913, max values: 3.258347009006034, median values: -0.3541242474319511, and quantile values: 0.25 -1.136546\n0.50 -0.354124\n0.75 0.450879\nName: 1530, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.508322769459595, std values: 0.8297921589334442, min values: -2.4536054974529624, max values: 6.0, median values: 0.609506855642826, and quantile values: 0.25 -0.029995\n0.50 0.609507\n0.75 1.073277\nName: 1531, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07899963759187978, std values: 1.0402701981375573, min values: -2.558791007225312, max values: 3.670892362631932, median values: 0.0917795217216151, and quantile values: 0.25 -0.629963\n0.50 0.091780\n0.75 0.619633\nName: 1532, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1945024925054661, std values: 0.7853404202727023, min values: -2.137685238195388, max values: 3.3337116327022187, median values: -0.3072875934897447, and quantile values: 0.25 -0.738326\n0.50 -0.307288\n0.75 0.292284\nName: 1533, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03618918731834765, std values: 1.0542166093593701, min values: -2.521882829270847, max values: 4.0, median values: -0.1074998539012029, and quantile values: 0.25 -0.855040\n0.50 -0.107500\n0.75 0.706512\nName: 1534, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4524055868174767, std values: 1.004594644269633, min values: -2.497627580948261, max values: 3.4217036547572275, median values: -0.546533977659482, and quantile values: 0.25 -1.216530\n0.50 -0.546534\n0.75 0.234197\nName: 1535, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1082933977856507, std values: 0.8435490019954881, min values: -2.013555225015544, max values: 6.0, median values: 0.0253625421414189, and quantile values: 0.25 -0.517052\n0.50 0.025363\n0.75 0.699878\nName: 1536, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4296355910221828, std values: 0.9482708502510033, min values: -2.662750916816848, max values: 5.0, median values: -0.5434556998091953, and quantile values: 0.25 -1.117722\n0.50 -0.543456\n0.75 0.159381\nName: 1537, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.001944136751462819, std values: 0.8183253224415925, min values: -2.142854198138545, max values: 5.0, median values: -0.0095248493178412, and quantile values: 0.25 -0.560808\n0.50 -0.009525\n0.75 0.541510\nName: 1538, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5898871953836163, std values: 0.8159813025182362, min values: -2.7428415536925543, max values: 2.85639829253406, median values: -0.6400374407920928, and quantile values: 0.25 -1.219964\n0.50 -0.640037\n0.75 -0.109267\nName: 1539, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5281045730747231, std values: 0.9579229409136717, min values: -2.783691185534105, max values: 3.3760121766849016, median values: 0.5465065363398409, and quantile values: 0.25 -0.152886\n0.50 0.546507\n0.75 1.196998\nName: 1540, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.015302749498173384, std values: 0.8927234549539548, min values: -2.2038853164231766, max values: 3.169414082461771, median values: 0.0613937192171402, and quantile values: 0.25 -0.713559\n0.50 0.061394\n0.75 0.637487\nName: 1541, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.088094351206948, std values: 1.0015988880116793, min values: -2.6800544037614658, max values: 4.0, median values: -0.0343476874858832, and quantile values: 0.25 -0.631706\n0.50 -0.034348\n0.75 0.544797\nName: 1542, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13956864472186492, std values: 0.8556054148606437, min values: -2.223055279954434, max values: 3.055874031381882, median values: -0.2437751516687988, and quantile values: 0.25 -0.772988\n0.50 -0.243775\n0.75 0.415572\nName: 1543, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32669048423333835, std values: 0.8859711654179258, min values: -2.264034258932616, max values: 3.709787027503053, median values: 0.3214075529530258, and quantile values: 0.25 -0.259608\n0.50 0.321408\n0.75 0.867250\nName: 1544, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30105702734274575, std values: 0.8965625918373266, min values: -2.662750916816848, max values: 5.0, median values: -0.4272463955334972, and quantile values: 0.25 -0.957967\n0.50 -0.427246\n0.75 0.239068\nName: 1545, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8604700979716589, std values: 1.477819531827011, min values: -3.0484008792629496, max values: 5.0, median values: -1.2976814054584758, and quantile values: 0.25 -2.062310\n0.50 -1.297681\n0.75 0.086443\nName: 1546, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16585445724902237, std values: 1.1818688976045464, min values: -2.769191083399913, max values: 3.528773265847577, median values: 0.4446081027874549, and quantile values: 0.25 -0.284326\n0.50 0.444608\n0.75 0.948640\nName: 1547, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20655718303023066, std values: 1.261622282509254, min values: -2.9666813816765707, max values: 4.0, median values: -0.2087674895161601, and quantile values: 0.25 -1.139437\n0.50 -0.208767\n0.75 0.843231\nName: 1548, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8074002822509118, std values: 0.948358674369178, min values: -2.442256129120324, max values: 6.0, median values: 0.9200261933789364, and quantile values: 0.25 0.145256\n0.50 0.920026\n0.75 1.557565\nName: 1549, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.015479842108669145, std values: 0.8245385448892889, min values: -2.080605134506434, max values: 3.155170554159904, median values: -0.0488956313890483, and quantile values: 0.25 -0.606457\n0.50 -0.048896\n0.75 0.483141\nName: 1550, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.032575091619943694, std values: 0.80844322181324, min values: -2.1085798980149097, max values: 3.627976272701048, median values: -0.0218404114572816, and quantile values: 0.25 -0.515024\n0.50 -0.021840\n0.75 0.544573\nName: 1551, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5764410596062878, std values: 0.9076197136623281, min values: -2.5859127503381347, max values: 3.630507857092792, median values: 0.7202909635142168, and quantile values: 0.25 0.088378\n0.50 0.720291\n0.75 1.226949\nName: 1552, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10600688992854923, std values: 0.7728452272348137, min values: -2.087432639025188, max values: 4.0, median values: -0.1647945535658697, and quantile values: 0.25 -0.628535\n0.50 -0.164795\n0.75 0.378591\nName: 1553, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2796147573789673, std values: 0.8397248557490077, min values: -2.4788285026914285, max values: 4.0, median values: -0.3801644647182495, and quantile values: 0.25 -0.912881\n0.50 -0.380164\n0.75 0.273466\nName: 1554, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.008411850790250287, std values: 0.7988908545389831, min values: -2.1548749249906303, max values: 5.0, median values: 0.0312071063035521, and quantile values: 0.25 -0.587701\n0.50 0.031207\n0.75 0.545021\nName: 1555, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37840887479338176, std values: 0.9366998457552863, min values: -2.6800544037614658, max values: 4.0, median values: -0.3457481817097682, and quantile values: 0.25 -1.058594\n0.50 -0.345748\n0.75 0.296999\nName: 1556, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08347036898930221, std values: 0.7951298821193101, min values: -2.070696498607387, max values: 3.434669824302974, median values: 0.1250443849050252, and quantile values: 0.25 -0.440629\n0.50 0.125044\n0.75 0.605463\nName: 1557, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14283037892711686, std values: 0.7841024927814101, min values: -1.8545792097367075, max values: 3.784832159836258, median values: 0.1425010561209319, and quantile values: 0.25 -0.383719\n0.50 0.142501\n0.75 0.627758\nName: 1558, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3942157899493258, std values: 0.8589993609131366, min values: -2.58513369695146, max values: 4.0, median values: -0.4165509120526813, and quantile values: 0.25 -0.943169\n0.50 -0.416551\n0.75 0.087963\nName: 1559, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23427826666195564, std values: 1.3055956926271413, min values: -2.919359491767569, max values: 6.0, median values: -0.0874407934724416, and quantile values: 0.25 -0.717567\n0.50 -0.087441\n0.75 1.040494\nName: 1560, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14723106511646247, std values: 0.7848040835864762, min values: -2.435319364056716, max values: 6.0, median values: -0.1952491406668996, and quantile values: 0.25 -0.686850\n0.50 -0.195249\n0.75 0.337289\nName: 1561, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3385573331036356, std values: 0.7993082073072982, min values: -1.9397894141985663, max values: 5.0, median values: 0.3421462282505477, and quantile values: 0.25 -0.144950\n0.50 0.342146\n0.75 0.834422\nName: 1562, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07604079492218148, std values: 0.8713524140141147, min values: -2.000756945348453, max values: 6.0, median values: 0.0130466165755664, and quantile values: 0.25 -0.618885\n0.50 0.013047\n0.75 0.691485\nName: 1563, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13755219656494497, std values: 0.8347095833638012, min values: -2.0549757734273486, max values: 6.0, median values: -0.2058837665299967, and quantile values: 0.25 -0.771577\n0.50 -0.205884\n0.75 0.401567\nName: 1564, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17286943068316515, std values: 0.8167747362736761, min values: -2.374446373878101, max values: 4.0, median values: 0.1999969555366943, and quantile values: 0.25 -0.345251\n0.50 0.199997\n0.75 0.698612\nName: 1565, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.007560144558999203, std values: 0.9255620475897952, min values: -3.074005993202373, max values: 3.784832159836258, median values: 0.069206419778393, and quantile values: 0.25 -0.730176\n0.50 0.069206\n0.75 0.650550\nName: 1566, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10013256786454221, std values: 0.8822802578348472, min values: -2.537573835824454, max values: 6.0, median values: 0.168424702365164, and quantile values: 0.25 -0.493211\n0.50 0.168425\n0.75 0.695814\nName: 1567, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.609492203692648, std values: 1.15084392592193, min values: -3.101800431129944, max values: 6.0, median values: -1.9619764784134417, and quantile values: 0.25 -2.326199\n0.50 -1.961976\n0.75 -1.165283\nName: 1568, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3449671653592244, std values: 0.7540022890211827, min values: -2.62876542141649, max values: 3.1801075704642923, median values: 0.399546380580223, and quantile values: 0.25 -0.162478\n0.50 0.399546\n0.75 0.837586\nName: 1569, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09728941231141613, std values: 0.7789995405945422, min values: -2.6635706018350787, max values: 3.670892362631932, median values: 0.1178374690593192, and quantile values: 0.25 -0.434430\n0.50 0.117837\n0.75 0.601295\nName: 1570, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17431297776362428, std values: 0.8684013645950077, min values: -2.510124273981921, max values: 3.5908526919299577, median values: -0.2526362308511014, and quantile values: 0.25 -0.729350\n0.50 -0.252636\n0.75 0.364107\nName: 1571, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2327806866622221, std values: 0.87799849318561, min values: -2.108143545940988, max values: 5.0, median values: 0.3035365557949389, and quantile values: 0.25 -0.396289\n0.50 0.303537\n0.75 0.906010\nName: 1572, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14896017097780226, std values: 0.8207179158461407, min values: -2.131236602105937, max values: 4.0, median values: -0.2132039960174349, and quantile values: 0.25 -0.730746\n0.50 -0.213204\n0.75 0.389566\nName: 1573, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05767537364961887, std values: 0.7982726230929547, min values: -2.271143658239337, max values: 6.0, median values: -0.0369386173130276, and quantile values: 0.25 -0.586578\n0.50 -0.036939\n0.75 0.413408\nName: 1574, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01383216471398976, std values: 0.7853378167321691, min values: -2.688157591415518, max values: 5.0, median values: 0.0292509211946417, and quantile values: 0.25 -0.556799\n0.50 0.029251\n0.75 0.505065\nName: 1575, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5031034479512011, std values: 0.9481981658458585, min values: -2.1103582417935702, max values: 5.0, median values: 0.5548874382578847, and quantile values: 0.25 -0.128213\n0.50 0.554887\n0.75 1.109904\nName: 1576, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29099396433816066, std values: 0.7474446827163053, min values: -2.322735534389775, max values: 4.0, median values: -0.3345723522161062, and quantile values: 0.25 -0.794403\n0.50 -0.334572\n0.75 0.128833\nName: 1577, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.016533466891993222, std values: 1.056992821062898, min values: -2.8834699678265463, max values: 5.0, median values: 0.1883882265088464, and quantile values: 0.25 -0.544829\n0.50 0.188388\n0.75 0.685733\nName: 1578, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6131584764903654, std values: 0.9812566031773664, min values: -3.045947208515832, max values: 6.0, median values: -0.7065427973104809, and quantile values: 0.25 -1.296915\n0.50 -0.706543\n0.75 0.058079\nName: 1579, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09480954970338827, std values: 0.7672585753568636, min values: -2.693453432157769, max values: 4.243835016543704, median values: -0.0886548880074547, and quantile values: 0.25 -0.635316\n0.50 -0.088655\n0.75 0.397499\nName: 1580, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33308194876759706, std values: 0.8262796640717722, min values: -2.525881048269423, max values: 3.0838352979250487, median values: -0.4739260728887866, and quantile values: 0.25 -0.923544\n0.50 -0.473926\n0.75 0.198589\nName: 1581, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31224807944466737, std values: 0.9747439795787851, min values: -2.476285024008804, max values: 3.0, median values: -0.358200378380457, and quantile values: 0.25 -1.099761\n0.50 -0.358200\n0.75 0.362461\nName: 1582, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2313335910105634, std values: 0.9778303056039884, min values: -2.5774281843044924, max values: 4.0, median values: 0.3148895338470935, and quantile values: 0.25 -0.468768\n0.50 0.314890\n0.75 0.966938\nName: 1583, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09331807592616352, std values: 0.8734225929156072, min values: -2.8547740449753216, max values: 5.0, median values: 0.0858351661159952, and quantile values: 0.25 -0.439604\n0.50 0.085835\n0.75 0.645182\nName: 1584, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.547087533893376, std values: 0.9152061817018996, min values: -2.5689076212724418, max values: 5.0, median values: 0.5644040114042234, and quantile values: 0.25 -0.131715\n0.50 0.564404\n0.75 1.244547\nName: 1585, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5086385049010667, std values: 1.352236871546086, min values: -2.8164291268114208, max values: 3.598076523509904, median values: 0.8031271894837382, and quantile values: 0.25 -0.437861\n0.50 0.803127\n0.75 1.571654\nName: 1586, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30606239825628123, std values: 0.9437931708642631, min values: -2.5961021427111413, max values: 3.415255285860171, median values: 0.4283859705955076, and quantile values: 0.25 -0.302487\n0.50 0.428386\n0.75 1.001234\nName: 1587, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.018982859377958, std values: 1.7898438231649347, min values: -3.05087304133376, max values: 5.0, median values: -1.902312587579072, and quantile values: 0.25 -2.259330\n0.50 -1.902313\n0.75 0.155047\nName: 1588, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3982704512293934, std values: 1.0621547843683854, min values: -2.869671295224012, max values: 6.0, median values: -0.3846679950140353, and quantile values: 0.25 -1.231169\n0.50 -0.384668\n0.75 0.368758\nName: 1589, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12591769625380184, std values: 0.9090137811071329, min values: -2.5631960397140583, max values: 4.0, median values: -0.2500213169005802, and quantile values: 0.25 -0.791241\n0.50 -0.250021\n0.75 0.462052\nName: 1590, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09681133032386004, std values: 1.0293240783415318, min values: -2.2423374092797945, max values: 3.362228250221886, median values: 0.0143229994143819, and quantile values: 0.25 -0.702519\n0.50 0.014323\n0.75 0.868588\nName: 1591, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38649819714881106, std values: 1.0610541622639988, min values: -2.580492024304656, max values: 3.312693232344632, median values: 0.3305415819765587, and quantile values: 0.25 -0.413048\n0.50 0.330542\n0.75 1.237896\nName: 1592, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12352831806265877, std values: 0.9140939586079064, min values: -2.048647522117408, max values: 5.0, median values: 0.1446974602533057, and quantile values: 0.25 -0.447102\n0.50 0.144697\n0.75 0.669706\nName: 1593, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3547776106161279, std values: 0.8414436617724637, min values: -2.3771558481240653, max values: 4.0, median values: 0.4116326133625378, and quantile values: 0.25 -0.229650\n0.50 0.411633\n0.75 0.952745\nName: 1594, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0812905436687041, std values: 0.742647908848656, min values: -2.789830374413015, max values: 4.026668017837955, median values: -0.1234965462747569, and quantile values: 0.25 -0.546644\n0.50 -0.123497\n0.75 0.349222\nName: 1595, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2693235229840792, std values: 0.8635428599371877, min values: -2.5122218748354936, max values: 3.1801075704642923, median values: -0.3265005002978712, and quantile values: 0.25 -0.836413\n0.50 -0.326501\n0.75 0.236645\nName: 1596, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04158848061873533, std values: 0.8205266649499053, min values: -2.6850842010492566, max values: 6.0, median values: -0.0679305055087923, and quantile values: 0.25 -0.516887\n0.50 -0.067931\n0.75 0.558069\nName: 1597, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1392400758856734, std values: 0.7388539040019769, min values: -2.2065783767301927, max values: 6.0, median values: 0.1570564466315725, and quantile values: 0.25 -0.313125\n0.50 0.157056\n0.75 0.615686\nName: 1598, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03813898560289223, std values: 0.7660324976783952, min values: -2.028356248468432, max values: 3.721862465295849, median values: 0.0049869011122268, and quantile values: 0.25 -0.457324\n0.50 0.004987\n0.75 0.489552\nName: 1599, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2197998971101072, std values: 0.8754774685207782, min values: -2.419659473655063, max values: 4.0, median values: 0.1559319389896621, and quantile values: 0.25 -0.475135\n0.50 0.155932\n0.75 0.833051\nName: 1600, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02123702832113581, std values: 1.0085792125326638, min values: -2.157019117459074, max values: 6.0, median values: -0.1710700791280168, and quantile values: 0.25 -0.834389\n0.50 -0.171070\n0.75 0.669913\nName: 1601, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8264586539081702, std values: 1.2282524268824073, min values: -2.73836943861057, max values: 3.0, median values: -0.7770349176362339, and quantile values: 0.25 -1.996837\n0.50 -0.777035\n0.75 0.124925\nName: 1602, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0021583248534529434, std values: 0.846003557270854, min values: -2.525881048269423, max values: 3.2696814875916886, median values: -0.0388126345906708, and quantile values: 0.25 -0.610894\n0.50 -0.038813\n0.75 0.534090\nName: 1603, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09387676733902732, std values: 1.256150129412943, min values: -2.6466193392086392, max values: 4.0, median values: 0.22294638372537, and quantile values: 0.25 -1.096435\n0.50 0.222946\n0.75 0.853250\nName: 1604, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3682267885794537, std values: 0.7546675650160135, min values: -2.2915911556076085, max values: 3.415255285860171, median values: -0.3898887255461203, and quantile values: 0.25 -0.880401\n0.50 -0.389889\n0.75 0.050336\nName: 1605, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.020022032040404206, std values: 0.7842855452445262, min values: -2.163837561516034, max values: 3.147276669305989, median values: -0.0364425758997888, and quantile values: 0.25 -0.553765\n0.50 -0.036443\n0.75 0.460107\nName: 1606, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2068407087337435, std values: 0.9099365073903196, min values: -2.052253597414744, max values: 3.1995118554872866, median values: 0.2190829228429638, and quantile values: 0.25 -0.432995\n0.50 0.219083\n0.75 0.792535\nName: 1607, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2657521940289869, std values: 0.8946572193399502, min values: -2.4657737907743, max values: 3.709787027503053, median values: 0.2862783890610763, and quantile values: 0.25 -0.318981\n0.50 0.286278\n0.75 0.780360\nName: 1608, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3372961821961401, std values: 1.1928278814974977, min values: -2.9029979285382743, max values: 3.0, median values: -0.1276173620800107, and quantile values: 0.25 -1.156805\n0.50 -0.127617\n0.75 0.582736\nName: 1609, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5813450855292455, std values: 1.0333290445815784, min values: -2.45229857681487, max values: 3.569037956734876, median values: 0.5389210195861343, and quantile values: 0.25 -0.194237\n0.50 0.538921\n0.75 1.380732\nName: 1610, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13230750074025466, std values: 0.9763703350089045, min values: -2.758420521302709, max values: 3.0, median values: -0.1904335216104948, and quantile values: 0.25 -0.882353\n0.50 -0.190434\n0.75 0.585736\nName: 1611, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26579747858989394, std values: 0.8179690023993772, min values: -2.579952672199424, max values: 6.0, median values: 0.2032048776900209, and quantile values: 0.25 -0.270190\n0.50 0.203205\n0.75 0.822928\nName: 1612, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22926078710662878, std values: 0.7942152747831124, min values: -2.078275132568711, max values: 3.197902420311553, median values: -0.255195971359779, and quantile values: 0.25 -0.776076\n0.50 -0.255196\n0.75 0.250050\nName: 1613, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3104015411781167, std values: 0.9916816534561567, min values: -2.8531572940820533, max values: 6.0, median values: 0.2944063001848088, and quantile values: 0.25 -0.236207\n0.50 0.294406\n0.75 0.935729\nName: 1614, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3291226349334288, std values: 0.8363601082223004, min values: -2.034483421188461, max values: 3.336438412828754, median values: 0.4032095005082724, and quantile values: 0.25 -0.250863\n0.50 0.403210\n0.75 0.896711\nName: 1615, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23392760858864012, std values: 0.9064587273529193, min values: -2.841647375415054, max values: 5.0, median values: 0.2689623049355422, and quantile values: 0.25 -0.412250\n0.50 0.268962\n0.75 0.917719\nName: 1616, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17225637221744391, std values: 0.8535872596773025, min values: -2.486556664247513, max values: 3.0, median values: 0.2698761342813163, and quantile values: 0.25 -0.322888\n0.50 0.269876\n0.75 0.731920\nName: 1617, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45681270050132816, std values: 1.0057690430264887, min values: -2.960014365184806, max values: 6.0, median values: -0.5445318407700269, and quantile values: 0.25 -1.076172\n0.50 -0.544532\n0.75 0.191881\nName: 1618, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.024302444406140353, std values: 0.8109179891843014, min values: -2.104667097879677, max values: 4.0, median values: -0.0313173173987656, and quantile values: 0.25 -0.571540\n0.50 -0.031317\n0.75 0.525605\nName: 1619, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2837099141519952, std values: 0.9986151617804091, min values: -2.955641696055872, max values: 3.405671179043623, median values: 0.4239987997277036, and quantile values: 0.25 -0.356088\n0.50 0.423999\n0.75 1.044462\nName: 1620, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17433652351350196, std values: 0.8386626499098094, min values: -2.542889966859849, max values: 6.0, median values: -0.2354427811389526, and quantile values: 0.25 -0.750169\n0.50 -0.235443\n0.75 0.309598\nName: 1621, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3879411971345748, std values: 0.9740400958824812, min values: -2.0148114180740584, max values: 6.0, median values: 0.3799624383840597, and quantile values: 0.25 -0.263912\n0.50 0.379962\n0.75 1.055277\nName: 1622, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29705596787067384, std values: 0.991822304696354, min values: -2.7542003929097176, max values: 5.0, median values: -0.218882761096855, and quantile values: 0.25 -0.868968\n0.50 -0.218883\n0.75 0.364764\nName: 1623, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1486648683314056, std values: 0.824614911258558, min values: -2.7542003929097176, max values: 5.0, median values: -0.1573455374342159, and quantile values: 0.25 -0.679477\n0.50 -0.157346\n0.75 0.384717\nName: 1624, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15350948210937362, std values: 0.8082715105266125, min values: -2.0530016940670253, max values: 5.0, median values: 0.1767825561871743, and quantile values: 0.25 -0.374887\n0.50 0.176783\n0.75 0.711181\nName: 1625, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38101623771462595, std values: 0.9110720575294948, min values: -2.9029979285382743, max values: 6.0, median values: -0.4238827012878363, and quantile values: 0.25 -0.942353\n0.50 -0.423883\n0.75 0.187254\nName: 1626, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4610178788722655, std values: 0.9650838624514723, min values: -3.4217036547572723, max values: 2.98373867666567, median values: -0.542285464668373, and quantile values: 0.25 -1.224894\n0.50 -0.542285\n0.75 0.211667\nName: 1627, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12995474741531746, std values: 0.7264819149673734, min values: -1.9422770815436567, max values: 5.0, median values: 0.0856615536337082, and quantile values: 0.25 -0.346510\n0.50 0.085662\n0.75 0.584305\nName: 1628, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11260339334918364, std values: 0.8947649215053952, min values: -2.7211321814067784, max values: 3.415255285860171, median values: -0.152635151277452, and quantile values: 0.25 -0.639800\n0.50 -0.152635\n0.75 0.438589\nName: 1629, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2673853698216313, std values: 0.9356034252624352, min values: -2.525881048269423, max values: 3.0, median values: -0.3686737627842995, and quantile values: 0.25 -0.974526\n0.50 -0.368674\n0.75 0.404913\nName: 1630, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27802307669553755, std values: 0.8327155411351185, min values: -2.5046447434119337, max values: 4.0, median values: -0.3201005409055862, and quantile values: 0.25 -0.876647\n0.50 -0.320101\n0.75 0.227014\nName: 1631, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19947189743642688, std values: 0.9675945083439584, min values: -2.687115288423959, max values: 5.0, median values: -0.1177349199045097, and quantile values: 0.25 -0.721854\n0.50 -0.117735\n0.75 0.415638\nName: 1632, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21988568887147433, std values: 0.7882359945139532, min values: -2.142854198138545, max values: 5.0, median values: -0.2761164131053578, and quantile values: 0.25 -0.749366\n0.50 -0.276116\n0.75 0.217824\nName: 1633, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3206523525664616, std values: 0.8981070693853314, min values: -2.64479559868397, max values: 6.0, median values: -0.3804959694340158, and quantile values: 0.25 -0.898026\n0.50 -0.380496\n0.75 0.162969\nName: 1634, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23300017464588596, std values: 0.8509365000669209, min values: -2.0323067612940227, max values: 4.278004674434932, median values: -0.3128944932331943, and quantile values: 0.25 -0.897595\n0.50 -0.312894\n0.75 0.320250\nName: 1635, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16551564393035237, std values: 1.0875422408715765, min values: -2.7825548156447035, max values: 6.0, median values: 0.1900016412470822, and quantile values: 0.25 -0.692579\n0.50 0.190002\n0.75 1.069757\nName: 1636, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04161493770734221, std values: 0.9142003316495952, min values: -2.1269862447630747, max values: 4.0, median values: -0.0679090265754045, and quantile values: 0.25 -0.608247\n0.50 -0.067909\n0.75 0.646083\nName: 1637, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12998567960454915, std values: 0.8501082921736843, min values: -2.638186942019407, max values: 4.0, median values: 0.173228938479906, and quantile values: 0.25 -0.399270\n0.50 0.173229\n0.75 0.690765\nName: 1638, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.039518995309506824, std values: 0.9380825703105663, min values: -2.799990485600992, max values: 5.0, median values: -0.0320302295338758, and quantile values: 0.25 -0.679060\n0.50 -0.032030\n0.75 0.695092\nName: 1639, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5749035215213832, std values: 0.8955910782534195, min values: -2.005672204034532, max values: 3.224152805256112, median values: 0.697441101191927, and quantile values: 0.25 -0.019689\n0.50 0.697441\n0.75 1.256477\nName: 1640, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1800444747371123, std values: 0.7603374269543598, min values: -2.2885582525651, max values: 5.0, median values: 0.1828578222710665, and quantile values: 0.25 -0.313183\n0.50 0.182858\n0.75 0.616619\nName: 1641, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27809157315361904, std values: 1.1279612875847485, min values: -2.8350118695332047, max values: 5.0, median values: 0.3813345943204034, and quantile values: 0.25 -0.338244\n0.50 0.381335\n0.75 1.085457\nName: 1642, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22544730239424915, std values: 1.3558087636719394, min values: -2.815821936576896, max values: 3.090297571450676, median values: 0.4590035769272543, and quantile values: 0.25 -0.430032\n0.50 0.459004\n0.75 1.118605\nName: 1643, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.006126698915098701, std values: 0.7951291452869551, min values: -2.247814785992152, max values: 3.306454397423372, median values: 0.0105648200257181, and quantile values: 0.25 -0.548218\n0.50 0.010565\n0.75 0.441206\nName: 1644, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10400897367870593, std values: 0.7449521468272873, min values: -2.096768618411309, max values: 5.0, median values: 0.1093004575531898, and quantile values: 0.25 -0.388556\n0.50 0.109300\n0.75 0.563877\nName: 1645, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.48687327764937405, std values: 0.8808739647477164, min values: -2.563932271513275, max values: 6.0, median values: -0.5618394002321444, and quantile values: 0.25 -1.129805\n0.50 -0.561839\n0.75 0.030821\nName: 1646, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.067980377898564, std values: 0.8159231640875676, min values: -2.558791007225312, max values: 3.784832159836258, median values: 0.0871067195710657, and quantile values: 0.25 -0.411348\n0.50 0.087107\n0.75 0.561164\nName: 1647, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13390070342408014, std values: 0.7817129155850981, min values: -1.9691636626304043, max values: 2.9245279250138942, median values: -0.2182599058540558, and quantile values: 0.25 -0.702937\n0.50 -0.218260\n0.75 0.371086\nName: 1648, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29209792369426, std values: 0.8130603986582858, min values: -2.556631690482005, max values: 3.0, median values: -0.4003136561625751, and quantile values: 0.25 -0.889159\n0.50 -0.400314\n0.75 0.230434\nName: 1649, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14907871035623912, std values: 0.833149239614533, min values: -2.458471698437182, max values: 2.885854600688925, median values: -0.1414262267659707, and quantile values: 0.25 -0.767208\n0.50 -0.141426\n0.75 0.507079\nName: 1650, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6879669927904087, std values: 1.2056804098317584, min values: -3.0960472541202715, max values: 6.0, median values: -0.5762157697442493, and quantile values: 0.25 -1.798940\n0.50 -0.576216\n0.75 0.136494\nName: 1651, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0923312241050468, std values: 0.730716499033575, min values: -2.579723791499676, max values: 4.0, median values: -0.1099561712613515, and quantile values: 0.25 -0.567372\n0.50 -0.109956\n0.75 0.343819\nName: 1652, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21247890205265252, std values: 0.9052790446682221, min values: -2.0287261898628506, max values: 5.0, median values: 0.2491321071528258, and quantile values: 0.25 -0.445678\n0.50 0.249132\n0.75 0.809998\nName: 1653, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03110956898100595, std values: 1.1079842631355514, min values: -2.608390851963037, max values: 5.0, median values: 0.1962368984101621, and quantile values: 0.25 -0.619452\n0.50 0.196237\n0.75 0.767799\nName: 1654, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06748667255903577, std values: 0.8791783779395086, min values: -2.4125199145038643, max values: 4.0, median values: 0.0495108728016939, and quantile values: 0.25 -0.561581\n0.50 0.049511\n0.75 0.667109\nName: 1655, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3835061473144746, std values: 0.89385712590034, min values: -2.673124659932621, max values: 6.0, median values: -0.4154170115907361, and quantile values: 0.25 -0.920062\n0.50 -0.415417\n0.75 0.181232\nName: 1656, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37769997994386667, std values: 0.8063402556133096, min values: -2.584593648802428, max values: 3.0, median values: -0.4690325590518123, and quantile values: 0.25 -0.938839\n0.50 -0.469033\n0.75 0.084232\nName: 1657, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4708907058016155, std values: 0.9573281921199434, min values: -2.769191083399913, max values: 3.5021977227593246, median values: -0.497694781263045, and quantile values: 0.25 -1.236120\n0.50 -0.497695\n0.75 0.220378\nName: 1658, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21322588181086582, std values: 1.0079967222079564, min values: -2.9090251609554527, max values: 6.0, median values: -0.1582378349303853, and quantile values: 0.25 -0.896146\n0.50 -0.158238\n0.75 0.437211\nName: 1659, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07341388852755046, std values: 0.8506433220225524, min values: -2.745904427753044, max values: 5.0, median values: 0.0280662442677021, and quantile values: 0.25 -0.467397\n0.50 0.028066\n0.75 0.547632\nName: 1660, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3068072347902667, std values: 0.9530053939207799, min values: -2.58513369695146, max values: 3.071284484560209, median values: 0.2536599274831216, and quantile values: 0.25 -0.445078\n0.50 0.253660\n0.75 1.005454\nName: 1661, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04669342195974756, std values: 0.8794621904622484, min values: -2.841647375415054, max values: 5.0, median values: -0.0370488499682152, and quantile values: 0.25 -0.570039\n0.50 -0.037049\n0.75 0.517319\nName: 1662, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11101078277947928, std values: 0.9568268785842307, min values: -2.0918322237798, max values: 6.0, median values: 0.0994522532258028, and quantile values: 0.25 -0.615372\n0.50 0.099452\n0.75 0.873968\nName: 1663, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4367122027765621, std values: 0.8774233962453836, min values: -2.09134137830184, max values: 5.0, median values: -0.5214325517545179, and quantile values: 0.25 -1.141350\n0.50 -0.521433\n0.75 0.181248\nName: 1664, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18667687994142415, std values: 0.9860955987967444, min values: -2.4564928597243227, max values: 5.0, median values: -0.2771723396607125, and quantile values: 0.25 -0.936279\n0.50 -0.277172\n0.75 0.431997\nName: 1665, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3504950149927168, std values: 0.8824991979014405, min values: -2.5832619696830608, max values: 6.0, median values: -0.4714608657813801, and quantile values: 0.25 -1.038887\n0.50 -0.471461\n0.75 0.226816\nName: 1666, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -2.0767839199656657, std values: 0.6718879095038072, min values: -2.982771139679002, max values: 4.0, median values: -2.149843035218181, and quantile values: 0.25 -2.457907\n0.50 -2.149843\n0.75 -1.931023\nName: 1667, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4514216165759203, std values: 1.079612868765035, min values: -1.9590694009338665, max values: 4.0, median values: 0.3575838031302883, and quantile values: 0.25 -0.375800\n0.50 0.357584\n0.75 1.272301\nName: 1668, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21049229160580923, std values: 0.780032282206401, min values: -2.016491303607746, max values: 5.0, median values: 0.1529660951513325, and quantile values: 0.25 -0.325615\n0.50 0.152966\n0.75 0.699245\nName: 1669, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08951600964115743, std values: 0.8558308932140514, min values: -2.275531026921315, max values: 6.0, median values: 0.0020089342308717, and quantile values: 0.25 -0.452711\n0.50 0.002009\n0.75 0.588812\nName: 1670, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29202478808080906, std values: 0.9974479868360585, min values: -2.825926939679757, max values: 3.518664430018096, median values: -0.3393409445471694, and quantile values: 0.25 -1.046912\n0.50 -0.339341\n0.75 0.391981\nName: 1671, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1335573726088181, std values: 0.7279747286808795, min values: -2.6115251494731915, max values: 3.379902545505621, median values: -0.1584683439708147, and quantile values: 0.25 -0.602921\n0.50 -0.158468\n0.75 0.269933\nName: 1672, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05680824367771278, std values: 0.9068037102221019, min values: -2.5624611946462936, max values: 5.0, median values: 0.131048171496215, and quantile values: 0.25 -0.476238\n0.50 0.131048\n0.75 0.621237\nName: 1673, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9224313778521132, std values: 0.9927873752893462, min values: -2.673549169958716, max values: 6.0, median values: -1.0573458646989795, and quantile values: 0.25 -1.703203\n0.50 -1.057346\n0.75 -0.311034\nName: 1674, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.375810505160586, std values: 0.9754667617111697, min values: -2.45621608478742, max values: 3.8226908388056136, median values: 0.4131468703694396, and quantile values: 0.25 -0.264311\n0.50 0.413147\n0.75 0.983868\nName: 1675, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6205562877057834, std values: 0.9424051201836988, min values: -2.153912257765272, max values: 6.0, median values: 0.7153719223742634, and quantile values: 0.25 -0.042837\n0.50 0.715372\n0.75 1.255907\nName: 1676, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07914808362303946, std values: 1.1192244666399382, min values: -2.6278943940336483, max values: 4.0, median values: -0.0725743179372494, and quantile values: 0.25 -0.835827\n0.50 -0.072574\n0.75 0.707423\nName: 1677, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19757904304614252, std values: 1.1001959423129866, min values: -2.5293911731823453, max values: 3.280245386470253, median values: -0.1914038744713835, and quantile values: 0.25 -0.999310\n0.50 -0.191404\n0.75 0.616386\nName: 1678, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.555023098000244, std values: 0.8244549282612783, min values: -2.5039074859839925, max values: 4.0, median values: 0.6439582897584658, and quantile values: 0.25 0.010327\n0.50 0.643958\n0.75 1.173089\nName: 1679, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.022359434316488676, std values: 0.769591874699248, min values: -1.846541685053686, max values: 4.0, median values: -0.0123611606224228, and quantile values: 0.25 -0.495689\n0.50 -0.012361\n0.75 0.502938\nName: 1680, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43221385335644136, std values: 0.86201629414885, min values: -1.9922697996330585, max values: 5.0, median values: -0.5175356506657186, and quantile values: 0.25 -1.133671\n0.50 -0.517536\n0.75 0.170436\nName: 1681, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16094260348932624, std values: 0.9311712200873299, min values: -2.5859127503381347, max values: 3.05919958255637, median values: -0.2423116025463503, and quantile values: 0.25 -0.887177\n0.50 -0.242312\n0.75 0.477253\nName: 1682, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11703381912029785, std values: 0.8076831646859591, min values: -2.56026492390943, max values: 4.0, median values: -0.1549511465661638, and quantile values: 0.25 -0.594323\n0.50 -0.154951\n0.75 0.388614\nName: 1683, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2440635108961929, std values: 0.9262625161555172, min values: -2.8246479422601736, max values: 5.0, median values: 0.3702069460832295, and quantile values: 0.25 -0.274374\n0.50 0.370207\n0.75 0.887443\nName: 1684, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05748726281678117, std values: 0.7884056404036736, min values: -2.838932175687192, max values: 4.0, median values: 0.0818279068185538, and quantile values: 0.25 -0.459162\n0.50 0.081828\n0.75 0.533555\nName: 1685, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4949817208795898, std values: 1.0634811803629363, min values: -2.9472833478224456, max values: 6.0, median values: -0.5487303605188878, and quantile values: 0.25 -1.300796\n0.50 -0.548730\n0.75 0.228267\nName: 1686, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.786765946093968, std values: 1.7064812851834226, min values: -3.530441124712342, max values: 3.9905524164385566, median values: -1.713034360616121, and quantile values: 0.25 -2.001981\n0.50 -1.713034\n0.75 0.553475\nName: 1687, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12621549013993463, std values: 0.79643494408417, min values: -1.9767664272080896, max values: 6.0, median values: 0.1324559073918004, and quantile values: 0.25 -0.371744\n0.50 0.132456\n0.75 0.593534\nName: 1688, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7666102772347895, std values: 1.0113499147329825, min values: -2.0843248697539374, max values: 5.0, median values: 0.7497070817158753, and quantile values: 0.25 0.061062\n0.50 0.749707\n0.75 1.517440\nName: 1689, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20484018311446467, std values: 0.862466140607113, min values: -2.482931728382393, max values: 3.8226908388056136, median values: 0.2258270082138096, and quantile values: 0.25 -0.349346\n0.50 0.225827\n0.75 0.741282\nName: 1690, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31390974886876183, std values: 0.85228314144316, min values: -2.3333312203517527, max values: 3.496479817235339, median values: -0.4371846946742104, and quantile values: 0.25 -0.920495\n0.50 -0.437185\n0.75 0.216614\nName: 1691, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.264231983824867, std values: 0.7727581388527293, min values: -1.894798555157161, max values: 3.260388056018088, median values: 0.3297997088212442, and quantile values: 0.25 -0.248402\n0.50 0.329800\n0.75 0.790030\nName: 1692, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19897646828821852, std values: 0.9499435821184872, min values: -2.891990595045606, max values: 6.0, median values: -0.1753840774601851, and quantile values: 0.25 -0.832201\n0.50 -0.175384\n0.75 0.433651\nName: 1693, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16074991788352566, std values: 0.8217059512346572, min values: -2.4564928597243227, max values: 4.0, median values: 0.1924417692510482, and quantile values: 0.25 -0.409850\n0.50 0.192442\n0.75 0.701744\nName: 1694, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4633339600753154, std values: 1.0353983198659344, min values: -2.5293911731823453, max values: 3.132053530264631, median values: 0.5841371768302852, and quantile values: 0.25 -0.201999\n0.50 0.584137\n0.75 1.264062\nName: 1695, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06871277028111634, std values: 0.7812832236274191, min values: -2.031005372878356, max values: 3.090297571450676, median values: 0.0664618541205642, and quantile values: 0.25 -0.454335\n0.50 0.066462\n0.75 0.561109\nName: 1696, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21571693561193062, std values: 0.784826293978066, min values: -2.3333312203517527, max values: 3.667275230673496, median values: -0.2891532265912446, and quantile values: 0.25 -0.741468\n0.50 -0.289153\n0.75 0.278769\nName: 1697, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30505135935957467, std values: 0.9415940586176481, min values: -2.8531572940820533, max values: 3.760287110694155, median values: -0.3882317007370185, and quantile values: 0.25 -0.984134\n0.50 -0.388232\n0.75 0.321321\nName: 1698, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24017431094730196, std values: 1.0795880687705401, min values: -2.801183634509044, max values: 5.0, median values: -0.2118502330884532, and quantile values: 0.25 -1.064259\n0.50 -0.211850\n0.75 0.520203\nName: 1699, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16488430396299433, std values: 0.8178520156960492, min values: -2.73836943861057, max values: 3.3483277116524426, median values: -0.2517833525640959, and quantile values: 0.25 -0.742528\n0.50 -0.251783\n0.75 0.347006\nName: 1700, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2539652622498334, std values: 0.8001428326676784, min values: -2.842043939794492, max values: 3.281452258958016, median values: 0.2624292148476914, and quantile values: 0.25 -0.290336\n0.50 0.262429\n0.75 0.813655\nName: 1701, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0069535931014122155, std values: 0.8241153811786833, min values: -2.7884838087481176, max values: 6.0, median values: -0.1091342332277391, and quantile values: 0.25 -0.565875\n0.50 -0.109134\n0.75 0.483354\nName: 1702, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3284525220675448, std values: 0.8111335784871688, min values: -2.33940590171048, max values: 4.0, median values: -0.3499752445622319, and quantile values: 0.25 -0.926839\n0.50 -0.349975\n0.75 0.178414\nName: 1703, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15470142672650242, std values: 0.8688423841400014, min values: -1.9680164995180616, max values: 3.784832159836258, median values: -0.2327538669641627, and quantile values: 0.25 -0.833184\n0.50 -0.232754\n0.75 0.444699\nName: 1704, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18542800150443822, std values: 0.8651229358735743, min values: -2.5743883495350026, max values: 5.0, median values: -0.168672280815683, and quantile values: 0.25 -0.754554\n0.50 -0.168672\n0.75 0.361028\nName: 1705, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02601556843401453, std values: 0.9734084110524868, min values: -3.0687217584296813, max values: 2.9602605313227603, median values: -0.0404111685580731, and quantile values: 0.25 -0.725654\n0.50 -0.040411\n0.75 0.659628\nName: 1706, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46311825013452035, std values: 0.794165803942445, min values: -2.72346435408924, max values: 4.0, median values: -0.4856986522299167, and quantile values: 0.25 -0.965313\n0.50 -0.485699\n0.75 0.015907\nName: 1707, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1661841372081462, std values: 1.1054586684251404, min values: -2.558791007225312, max values: 3.630507857092792, median values: -0.1688640688145649, and quantile values: 0.25 -0.898109\n0.50 -0.168864\n0.75 0.594766\nName: 1708, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.9385559130727966, std values: 0.940692844910683, min values: -2.021197265669184, max values: 5.0, median values: 1.054051866842285, and quantile values: 0.25 0.322510\n0.50 1.054052\n0.75 1.597315\nName: 1709, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3981076499690749, std values: 0.8366132500056571, min values: -2.114731399925201, max values: 4.0, median values: 0.4559861578214643, and quantile values: 0.25 -0.205546\n0.50 0.455986\n0.75 1.062659\nName: 1710, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.011888584752444802, std values: 0.7266870547785903, min values: -1.896126576059412, max values: 3.438667023696733, median values: -0.0327500967409122, and quantile values: 0.25 -0.464457\n0.50 -0.032750\n0.75 0.435385\nName: 1711, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7568922233187213, std values: 1.0534430028490378, min values: -2.697026421440041, max values: 4.0, median values: -0.7308237120320313, and quantile values: 0.25 -1.577532\n0.50 -0.730824\n0.75 -0.085669\nName: 1712, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08900157958398006, std values: 0.7772032488347838, min values: -2.6850842010492566, max values: 6.0, median values: -0.0860562958205143, and quantile values: 0.25 -0.619375\n0.50 -0.086056\n0.75 0.386567\nName: 1713, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7070117476954056, std values: 1.1577231801310457, min values: -3.307038206418975, max values: 4.278004674434932, median values: 0.6810038730046086, and quantile values: 0.25 -0.123091\n0.50 0.681004\n0.75 1.626387\nName: 1714, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41756837612911724, std values: 1.0139350970297931, min values: -2.688157591415518, max values: 5.0, median values: 0.292941158617208, and quantile values: 0.25 -0.276067\n0.50 0.292941\n0.75 1.036810\nName: 1715, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2014252210707692, std values: 1.0132623078029193, min values: -3.0363117572416627, max values: 5.0, median values: 0.2813469566501418, and quantile values: 0.25 -0.502407\n0.50 0.281347\n0.75 1.017440\nName: 1716, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2601714759629685, std values: 0.8335212003053258, min values: -2.662750916816848, max values: 5.0, median values: -0.3277471758933807, and quantile values: 0.25 -0.799927\n0.50 -0.327747\n0.75 0.237787\nName: 1717, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13524767737404356, std values: 0.7641625118967321, min values: -2.0923235737594785, max values: 3.0, median values: 0.2073885318853061, and quantile values: 0.25 -0.394355\n0.50 0.207389\n0.75 0.677415\nName: 1718, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31008587377490243, std values: 0.7910461578097872, min values: -2.212004168819108, max values: 3.1166497049712243, median values: -0.4513232558953746, and quantile values: 0.25 -0.860969\n0.50 -0.451323\n0.75 0.176757\nName: 1719, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4012136611748432, std values: 1.1210264255189026, min values: -2.981718296512785, max values: 5.0, median values: -0.3538977815784686, and quantile values: 0.25 -1.131579\n0.50 -0.353898\n0.75 0.365168\nName: 1720, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4203182295544952, std values: 0.978161509786352, min values: -2.580492024304656, max values: 3.397048482165858, median values: 0.3597277229753929, and quantile values: 0.25 -0.198671\n0.50 0.359728\n0.75 1.090884\nName: 1721, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01882219934763304, std values: 1.056065776103159, min values: -2.5293911731823453, max values: 3.569037956734876, median values: 0.0303254310751754, and quantile values: 0.25 -0.622491\n0.50 0.030325\n0.75 0.665253\nName: 1722, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1963204351696636, std values: 0.7889065051106642, min values: -2.161181455793125, max values: 6.0, median values: 0.2475964941519449, and quantile values: 0.25 -0.314513\n0.50 0.247596\n0.75 0.704177\nName: 1723, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18831525321995146, std values: 0.7678719724930448, min values: -1.8139926654737228, max values: 6.0, median values: 0.120162754840335, and quantile values: 0.25 -0.306248\n0.50 0.120163\n0.75 0.641634\nName: 1724, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3330168252465311, std values: 0.8898402120216761, min values: -2.0884920198234647, max values: 3.0133870328644305, median values: 0.3956038786399831, and quantile values: 0.25 -0.341074\n0.50 0.395604\n0.75 0.986825\nName: 1725, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19607245958029557, std values: 1.0047747614023679, min values: -3.0148736195915964, max values: 3.627976272701048, median values: -0.2365754638823307, and quantile values: 0.25 -0.790078\n0.50 -0.236575\n0.75 0.463813\nName: 1726, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36241971524557276, std values: 0.9534387630741977, min values: -2.8350118695332047, max values: 5.0, median values: 0.470536622160821, and quantile values: 0.25 -0.162869\n0.50 0.470537\n0.75 1.009855\nName: 1727, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3822795761664601, std values: 0.7705064907434439, min values: -2.475778245535816, max values: 4.0, median values: 0.4238051343079185, and quantile values: 0.25 -0.167307\n0.50 0.423805\n0.75 0.948067\nName: 1728, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13499635179162636, std values: 0.8068727744223305, min values: -2.6652153608723106, max values: 3.236860296211547, median values: -0.2452332772995363, and quantile values: 0.25 -0.722647\n0.50 -0.245233\n0.75 0.372095\nName: 1729, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3275404788206618, std values: 1.1829518009670412, min values: -2.960014365184806, max values: 6.0, median values: 0.5851185479097192, and quantile values: 0.25 -0.323467\n0.50 0.585119\n0.75 1.187457\nName: 1730, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.275362334946245, std values: 1.0353967193805798, min values: -2.622709665346679, max values: 3.477886732511886, median values: 0.3005388001525138, and quantile values: 0.25 -0.417582\n0.50 0.300539\n0.75 0.997418\nName: 1731, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45034965354262163, std values: 0.9582620142934087, min values: -3.2960357033722465, max values: 2.848410408765616, median values: -0.5688509980909651, and quantile values: 0.25 -1.107365\n0.50 -0.568851\n0.75 0.094103\nName: 1732, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3530441819357773, std values: 0.8558570103374737, min values: -2.7428415536925543, max values: 3.306454397423372, median values: 0.3050608276797052, and quantile values: 0.25 -0.216288\n0.50 0.305061\n0.75 0.881098\nName: 1733, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08815870674954633, std values: 0.8089569835166763, min values: -2.475778245535816, max values: 3.0, median values: 0.0947114082381835, and quantile values: 0.25 -0.491315\n0.50 0.094711\n0.75 0.664566\nName: 1734, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04784406698619613, std values: 0.9851431608367389, min values: -2.2398683045325223, max values: 3.9048392686725855, median values: 0.0167171416307819, and quantile values: 0.25 -0.629226\n0.50 0.016717\n0.75 0.604474\nName: 1735, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.4514861774958547, std values: 1.516469790362637, min values: -2.9622221028070275, max values: 4.026668017837955, median values: -2.055145228278207, and quantile values: 0.25 -2.335133\n0.50 -2.055145\n0.75 -1.673391\nName: 1736, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13085390223260782, std values: 0.8185653205759252, min values: -2.0740624974743245, max values: 6.0, median values: -0.2155014534920368, and quantile values: 0.25 -0.741095\n0.50 -0.215501\n0.75 0.412790\nName: 1737, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33161788748739557, std values: 1.1750237017064686, min values: -2.8834699678265463, max values: 5.0, median values: -0.0380607394508289, and quantile values: 0.25 -1.154335\n0.50 -0.038061\n0.75 0.509199\nName: 1738, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4585208156338432, std values: 0.7975700297175861, min values: -1.890970384320679, max values: 5.0, median values: 0.4608402724253482, and quantile values: 0.25 -0.061617\n0.50 0.460840\n0.75 0.983688\nName: 1739, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01603514631179984, std values: 0.8895940241404965, min values: -2.673549169958716, max values: 6.0, median values: -0.0782639340263389, and quantile values: 0.25 -0.671934\n0.50 -0.078264\n0.75 0.643522\nName: 1740, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4144720059039217, std values: 0.9757115338257103, min values: -2.8246479422601736, max values: 6.0, median values: -0.5035008638325712, and quantile values: 0.25 -1.129362\n0.50 -0.503501\n0.75 0.225212\nName: 1741, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13819843405786802, std values: 1.1800803720536621, min values: -2.8531572940820533, max values: 6.0, median values: 0.0911987706985975, and quantile values: 0.25 -0.787099\n0.50 0.091199\n0.75 0.696926\nName: 1742, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.017434529181171447, std values: 0.9534353590227873, min values: -2.641174291463747, max values: 6.0, median values: 0.0978610162140296, and quantile values: 0.25 -0.618030\n0.50 0.097861\n0.75 0.663242\nName: 1743, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1536230922178334, std values: 1.1871287083715472, min values: -2.8327898928872086, max values: 4.0, median values: -0.2078154127030514, and quantile values: 0.25 -0.982259\n0.50 -0.207815\n0.75 0.618688\nName: 1744, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12023164748513451, std values: 0.8697591511799025, min values: -2.710223074556336, max values: 4.0, median values: 0.0496462288353955, and quantile values: 0.25 -0.461369\n0.50 0.049646\n0.75 0.692596\nName: 1745, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16882923731515637, std values: 0.9873826112162328, min values: -2.855306289371099, max values: 6.0, median values: -0.0843979248511724, and quantile values: 0.25 -0.817265\n0.50 -0.084398\n0.75 0.455226\nName: 1746, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17418003032491905, std values: 1.1867463214617318, min values: -3.101800431129944, max values: 6.0, median values: -0.0806674316648388, and quantile values: 0.25 -0.929122\n0.50 -0.080667\n0.75 0.677847\nName: 1747, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18411989502778933, std values: 0.8024440565200078, min values: -2.525881048269423, max values: 3.721862465295849, median values: 0.1164974680591285, and quantile values: 0.25 -0.368939\n0.50 0.116497\n0.75 0.706260\nName: 1748, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1903372632449531, std values: 0.9367640660383336, min values: -2.542889966859849, max values: 6.0, median values: -0.1998522859984333, and quantile values: 0.25 -0.972921\n0.50 -0.199852\n0.75 0.442451\nName: 1749, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.025255258915846557, std values: 0.9050917321983998, min values: -2.0600063421362025, max values: 4.0, median values: -0.1037522390279046, and quantile values: 0.25 -0.702907\n0.50 -0.103752\n0.75 0.575241\nName: 1750, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30812551296491664, std values: 0.9289461828700597, min values: -2.642042398333877, max values: 3.598076523509904, median values: 0.3485935848380765, and quantile values: 0.25 -0.186722\n0.50 0.348594\n0.75 0.886994\nName: 1751, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.370775112988835, std values: 0.8553149702708503, min values: -2.6820581866633817, max values: 3.5908526919299577, median values: -0.4582387442570175, and quantile values: 0.25 -0.993113\n0.50 -0.458239\n0.75 0.203788\nName: 1752, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0604601955475679, std values: 1.337782888697627, min values: -3.101800431129944, max values: 6.0, median values: -1.6510007284912018, and quantile values: 0.25 -2.165598\n0.50 -1.651001\n0.75 0.172392\nName: 1753, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4204441557829661, std values: 1.0075009829156325, min values: -2.5953860446419177, max values: 3.8226908388056136, median values: -0.4593716530313526, and quantile values: 0.25 -1.110599\n0.50 -0.459372\n0.75 0.269019\nName: 1754, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6283952548417795, std values: 0.9694266989983842, min values: -2.8246479422601736, max values: 5.0, median values: -0.7945913674743276, and quantile values: 0.25 -1.433916\n0.50 -0.794591\n0.75 -0.008179\nName: 1755, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22159455656909197, std values: 0.8195101258124187, min values: -2.037986255847039, max values: 3.1047159712539405, median values: -0.3363203413687136, and quantile values: 0.25 -0.797200\n0.50 -0.336320\n0.75 0.272619\nName: 1756, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.019894593922887123, std values: 1.186090120023286, min values: -2.842989614395848, max values: 5.0, median values: 0.228024753925659, and quantile values: 0.25 -0.705451\n0.50 0.228025\n0.75 0.857344\nName: 1757, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.527243539424409, std values: 0.8949866511938552, min values: -3.447534482420193, max values: 2.8730699769514567, median values: -0.6220402456602093, and quantile values: 0.25 -1.161517\n0.50 -0.622040\n0.75 0.035506\nName: 1758, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1799047276201174, std values: 0.879197895770282, min values: -3.0223671288921072, max values: 3.250922035035844, median values: 0.107935280411141, and quantile values: 0.25 -0.495078\n0.50 0.107935\n0.75 0.811127\nName: 1759, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31322943356873045, std values: 1.077284992310154, min values: -2.2866733246957587, max values: 3.1485882570365185, median values: 0.2815220981013779, and quantile values: 0.25 -0.520997\n0.50 0.281522\n0.75 1.094937\nName: 1760, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9152488188303055, std values: 1.3010539805844727, min values: -3.0148736195915964, max values: 3.082096909284949, median values: -1.0213316391907354, and quantile values: 0.25 -2.005237\n0.50 -1.021332\n0.75 -0.008863\nName: 1761, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42640677565509055, std values: 0.9044739075384325, min values: -2.9797100147087465, max values: 5.0, median values: 0.4117355119528461, and quantile values: 0.25 -0.183080\n0.50 0.411736\n0.75 1.026962\nName: 1762, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7435809475477774, std values: 1.0720282641499341, min values: -2.693453432157769, max values: 3.390469008396469, median values: 0.9307974241231748, and quantile values: 0.25 0.173539\n0.50 0.930797\n0.75 1.473863\nName: 1763, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4864913011735266, std values: 0.9709993776117296, min values: -2.8680719719444903, max values: 3.32433157891547, median values: -0.6407918007811758, and quantile values: 0.25 -1.285581\n0.50 -0.640792\n0.75 0.151723\nName: 1764, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3246259376128212, std values: 0.8950952973115806, min values: -3.318456222573461, max values: 4.278004674434932, median values: -0.4312410312180171, and quantile values: 0.25 -0.963216\n0.50 -0.431241\n0.75 0.225121\nName: 1765, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3089818965452092, std values: 1.0177847272081846, min values: -3.2266531185902174, max values: 3.438667023696733, median values: -0.2892061273650972, and quantile values: 0.25 -1.155598\n0.50 -0.289206\n0.75 0.486318\nName: 1766, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14317182157174344, std values: 1.029664877166808, min values: -2.0773212586940626, max values: 3.250922035035844, median values: -0.2820877104392618, and quantile values: 0.25 -0.975504\n0.50 -0.282088\n0.75 0.517698\nName: 1767, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.723307927996547, std values: 1.0943593419660462, min values: -2.8834699678265463, max values: 5.0, median values: -0.6243649490345909, and quantile values: 0.25 -1.654301\n0.50 -0.624365\n0.75 0.034253\nName: 1768, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2586720781393463, std values: 0.9368722349321535, min values: -2.521882829270847, max values: 4.243835016543704, median values: 0.3373638238686296, and quantile values: 0.25 -0.331749\n0.50 0.337364\n0.75 0.953266\nName: 1769, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16261028460464894, std values: 0.9097714098524592, min values: -2.5961021427111413, max values: 3.667275230673496, median values: -0.1697751467619278, and quantile values: 0.25 -0.812396\n0.50 -0.169775\n0.75 0.446644\nName: 1770, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20270157152297896, std values: 0.8763144456318999, min values: -2.315439689490704, max values: 3.784832159836258, median values: 0.1855982695733064, and quantile values: 0.25 -0.333963\n0.50 0.185598\n0.75 0.780435\nName: 1771, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18908675361785862, std values: 0.8452668275878628, min values: -2.04551391420568, max values: 4.243835016543704, median values: 0.2404288658310376, and quantile values: 0.25 -0.379607\n0.50 0.240429\n0.75 0.771429\nName: 1772, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42308171323668137, std values: 0.8433806078981302, min values: -2.105967784650795, max values: 4.0, median values: 0.4869694792471347, and quantile values: 0.25 -0.194939\n0.50 0.486969\n0.75 1.065740\nName: 1773, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11909489648372196, std values: 0.9140972859066306, min values: -2.9265160609644223, max values: 6.0, median values: 0.1861753828098303, and quantile values: 0.25 -0.326167\n0.50 0.186175\n0.75 0.662164\nName: 1774, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3168635745836504, std values: 1.1954597826368338, min values: -2.9090251609554527, max values: 6.0, median values: -0.283809695549004, and quantile values: 0.25 -1.184675\n0.50 -0.283810\n0.75 0.571378\nName: 1775, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2489288440456866, std values: 0.8785572919333229, min values: -2.052706238094415, max values: 6.0, median values: 0.3433518572539459, and quantile values: 0.25 -0.343575\n0.50 0.343352\n0.75 0.920062\nName: 1776, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4406517918926455, std values: 1.0178232720445737, min values: -2.6652153608723106, max values: 5.0, median values: -0.4853268423985013, and quantile values: 0.25 -1.128825\n0.50 -0.485327\n0.75 0.224994\nName: 1777, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0868187786108818, std values: 1.2003160474519794, min values: -2.8834699678265463, max values: 5.0, median values: -0.1338866081384523, and quantile values: 0.25 -1.053021\n0.50 -0.133887\n0.75 0.754664\nName: 1778, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06689888889049635, std values: 0.8460603631153418, min values: -2.5399045531878324, max values: 4.0, median values: -0.0928514065930698, and quantile values: 0.25 -0.599257\n0.50 -0.092851\n0.75 0.478677\nName: 1779, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05976198275009472, std values: 0.9524429550998194, min values: -2.521882829270847, max values: 4.0, median values: -0.0468843931530442, and quantile values: 0.25 -0.629761\n0.50 -0.046884\n0.75 0.502945\nName: 1780, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2038067680884252, std values: 0.8544926385022747, min values: -2.4176069991382847, max values: 6.0, median values: -0.292703717532442, and quantile values: 0.25 -0.847246\n0.50 -0.292704\n0.75 0.338857\nName: 1781, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.018708163293705737, std values: 1.3643074275413054, min values: -2.7510671817729784, max values: 6.0, median values: -0.1283542936036277, and quantile values: 0.25 -1.156374\n0.50 -0.128354\n0.75 1.054605\nName: 1782, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3425786273303831, std values: 1.0162862995439363, min values: -2.842043939794492, max values: 3.163266084685921, median values: -0.2855571405770487, and quantile values: 0.25 -0.963296\n0.50 -0.285557\n0.75 0.293689\nName: 1783, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2698693139723737, std values: 1.1960706632440268, min values: -2.558791007225312, max values: 3.236860296211547, median values: -0.0345605243167417, and quantile values: 0.25 -1.130430\n0.50 -0.034561\n0.75 0.541956\nName: 1784, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3133645999284425, std values: 0.7455681697228237, min values: -3.4217036547572723, max values: 3.1395741599540568, median values: 0.3387151303344217, and quantile values: 0.25 -0.156578\n0.50 0.338715\n0.75 0.780659\nName: 1785, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21182523232333533, std values: 0.9307766947632518, min values: -2.724017888297919, max values: 3.2701555622463814, median values: -0.2601425543497204, and quantile values: 0.25 -0.871522\n0.50 -0.260143\n0.75 0.414515\nName: 1786, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.652148977058162, std values: 0.9501032201362472, min values: -2.891990595045606, max values: 6.0, median values: -0.6834367315324802, and quantile values: 0.25 -1.328529\n0.50 -0.683437\n0.75 -0.106889\nName: 1787, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34730032148744255, std values: 0.8588702098176643, min values: -2.572123985342288, max values: 4.0, median values: 0.3871601333768246, and quantile values: 0.25 -0.265566\n0.50 0.387160\n0.75 1.038981\nName: 1788, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5107150401891195, std values: 0.9833369868455849, min values: -2.801183634509044, max values: 5.0, median values: -0.6482373227279323, and quantile values: 0.25 -1.310161\n0.50 -0.648237\n0.75 0.136749\nName: 1789, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6272732654152748, std values: 0.9155541575512754, min values: -2.196449764159987, max values: 3.667275230673496, median values: -0.8033828910145691, and quantile values: 0.25 -1.366887\n0.50 -0.803383\n0.75 -0.045841\nName: 1790, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1209835423387311, std values: 1.0087588268268792, min values: -2.6820581866633817, max values: 3.670892362631932, median values: 0.037544902507068, and quantile values: 0.25 -0.670919\n0.50 0.037545\n0.75 0.562354\nName: 1791, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.473904873149639, std values: 1.0384048435048248, min values: -1.976101653356596, max values: 3.434669824302974, median values: 0.4579328862537196, and quantile values: 0.25 -0.367695\n0.50 0.457933\n0.75 1.370021\nName: 1792, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1562787850147182, std values: 0.8501629865225526, min values: -2.062310304625852, max values: 5.0, median values: 0.1264498891267431, and quantile values: 0.25 -0.410424\n0.50 0.126450\n0.75 0.704353\nName: 1793, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11253537477910243, std values: 1.131021221635696, min values: -2.92272757463548, max values: 6.0, median values: 0.3659258435025606, and quantile values: 0.25 -0.390784\n0.50 0.365926\n0.75 0.887116\nName: 1794, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27752646449566626, std values: 0.8480698748149818, min values: -2.609385158408876, max values: 4.0, median values: 0.3744277036725266, and quantile values: 0.25 -0.129104\n0.50 0.374428\n0.75 0.776036\nName: 1795, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20409364402332295, std values: 1.0813481981474846, min values: -2.1893794307511096, max values: 4.278004674434932, median values: 0.2466218049479161, and quantile values: 0.25 -0.613431\n0.50 0.246622\n0.75 0.936103\nName: 1796, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23748387501446439, std values: 0.8847813436597461, min values: -2.8282523283494294, max values: 4.0, median values: -0.3291690078080908, and quantile values: 0.25 -0.824748\n0.50 -0.329169\n0.75 0.332864\nName: 1797, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22622922713365365, std values: 0.7293165591379671, min values: -2.0604662602729085, max values: 6.0, median values: -0.3085581528101982, and quantile values: 0.25 -0.705118\n0.50 -0.308558\n0.75 0.204351\nName: 1798, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8007517231281072, std values: 0.946241782666973, min values: -2.632854336056873, max values: 3.155379154255993, median values: -0.95192737178122, and quantile values: 0.25 -1.599488\n0.50 -0.951927\n0.75 -0.182281\nName: 1799, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.574186000520476, std values: 0.8583827008305787, min values: -2.1238235090034925, max values: 5.0, median values: 0.6591148550979119, and quantile values: 0.25 0.022667\n0.50 0.659115\n0.75 1.157342\nName: 1800, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25932596834851734, std values: 0.7920170127394678, min values: -2.12073996675014, max values: 3.434669824302974, median values: 0.206897784527813, and quantile values: 0.25 -0.258412\n0.50 0.206898\n0.75 0.727632\nName: 1801, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.030037501895476174, std values: 0.9022129905778905, min values: -2.558791007225312, max values: 3.867701659180865, median values: -0.0691236039888656, and quantile values: 0.25 -0.663802\n0.50 -0.069124\n0.75 0.585848\nName: 1802, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.573871745850085, std values: 1.0419203614732038, min values: -2.688157591415518, max values: 4.0, median values: 0.6449788495737414, and quantile values: 0.25 -0.123687\n0.50 0.644979\n0.75 1.422773\nName: 1803, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5304062162683811, std values: 0.9959135412967011, min values: -2.887007053971579, max values: 3.0, median values: -0.5609706395255429, and quantile values: 0.25 -1.107257\n0.50 -0.560971\n0.75 0.076888\nName: 1804, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23714013232562423, std values: 0.9422202855286346, min values: -3.124705982383478, max values: 4.278004674434932, median values: -0.2947765396340999, and quantile values: 0.25 -0.867771\n0.50 -0.294777\n0.75 0.386418\nName: 1805, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.008231166242970033, std values: 0.7673914403893216, min values: -2.506280713346701, max values: 5.0, median values: -0.0576054966416161, and quantile values: 0.25 -0.483247\n0.50 -0.057605\n0.75 0.428040\nName: 1806, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13672264486421648, std values: 0.8334495769013769, min values: -2.0258339246740453, max values: 4.278004674434932, median values: 0.0785235410677545, and quantile values: 0.25 -0.414647\n0.50 0.078524\n0.75 0.630467\nName: 1807, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31398793736950215, std values: 0.8514124842493431, min values: -2.584593648802428, max values: 3.5021977227593246, median values: -0.3741260386415691, and quantile values: 0.25 -0.914339\n0.50 -0.374126\n0.75 0.181344\nName: 1808, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07003683803815745, std values: 0.8039705998266418, min values: -2.2984641453779058, max values: 3.528773265847577, median values: -0.0933283429993376, and quantile values: 0.25 -0.611830\n0.50 -0.093328\n0.75 0.396528\nName: 1809, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1844597998715219, std values: 0.7752555622825161, min values: -2.841647375415054, max values: 5.0, median values: -0.2636646738933753, and quantile values: 0.25 -0.724866\n0.50 -0.263665\n0.75 0.289091\nName: 1810, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.044616080957073874, std values: 0.8869112405270227, min values: -2.622408470084112, max values: 3.397048482165858, median values: 0.1335762822887101, and quantile values: 0.25 -0.439962\n0.50 0.133576\n0.75 0.590597\nName: 1811, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08934248591517492, std values: 1.1021685834452724, min values: -2.9472833478224456, max values: 6.0, median values: 0.220414588366691, and quantile values: 0.25 -0.544605\n0.50 0.220415\n0.75 0.866728\nName: 1812, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2847386425171657, std values: 0.8699343593508475, min values: -2.566149343918479, max values: 6.0, median values: 0.3766112828666327, and quantile values: 0.25 -0.336874\n0.50 0.376611\n0.75 0.933759\nName: 1813, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08735474496761646, std values: 0.9473008431192411, min values: -2.7510671817729784, max values: 6.0, median values: -0.0171302904907977, and quantile values: 0.25 -0.679824\n0.50 -0.017130\n0.75 0.547322\nName: 1814, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2772375394420228, std values: 0.8139524748419246, min values: -2.5213149333948146, max values: 3.415255285860171, median values: 0.2861636259449926, and quantile values: 0.25 -0.245988\n0.50 0.286164\n0.75 0.789053\nName: 1815, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27164436044216894, std values: 0.7557239902079267, min values: -1.9760998566567527, max values: 5.0, median values: 0.2835537797820233, and quantile values: 0.25 -0.174885\n0.50 0.283554\n0.75 0.736519\nName: 1816, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4126696832089445, std values: 0.9353707799748876, min values: -2.5046447434119337, max values: 4.0, median values: 0.2544259647663369, and quantile values: 0.25 -0.250362\n0.50 0.254426\n0.75 1.032624\nName: 1817, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.416454698806616, std values: 0.9860618587159058, min values: -2.92272757463548, max values: 6.0, median values: -0.3691371555096727, and quantile values: 0.25 -0.912547\n0.50 -0.369137\n0.75 0.192778\nName: 1818, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09739282836040335, std values: 0.7471257192149032, min values: -2.5879430435308, max values: 3.0, median values: -0.1523008159556132, and quantile values: 0.25 -0.607220\n0.50 -0.152301\n0.75 0.361608\nName: 1819, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0059116281856511025, std values: 0.8528853413536215, min values: -2.0106364024619245, max values: 3.236860296211547, median values: -0.0197597315126949, and quantile values: 0.25 -0.618685\n0.50 -0.019760\n0.75 0.601295\nName: 1820, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27052096880428794, std values: 0.8255504710411999, min values: -2.261811129618151, max values: 5.0, median values: -0.3792765232859867, and quantile values: 0.25 -0.898438\n0.50 -0.379277\n0.75 0.290706\nName: 1821, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.260653590040425, std values: 0.8046866339518233, min values: -2.783691185534105, max values: 3.455472209455805, median values: 0.2523234875074417, and quantile values: 0.25 -0.260534\n0.50 0.252323\n0.75 0.760204\nName: 1822, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13512259732963391, std values: 0.8250542136325691, min values: -2.087432639025188, max values: 4.0, median values: 0.0681850580356824, and quantile values: 0.25 -0.420627\n0.50 0.068185\n0.75 0.676566\nName: 1823, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8295506278385708, std values: 1.074007438239635, min values: -2.928515832252388, max values: 3.0, median values: -0.9546603135516856, and quantile values: 0.25 -1.634503\n0.50 -0.954660\n0.75 -0.071194\nName: 1824, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40096445283660476, std values: 1.035389953206036, min values: -2.0884068356849723, max values: 6.0, median values: 0.3282210461073243, and quantile values: 0.25 -0.303018\n0.50 0.328221\n0.75 1.110108\nName: 1825, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.1161769582627206, std values: 1.7089206573310292, min values: -3.05087304133376, max values: 5.0, median values: -1.926619699361361, and quantile values: 0.25 -2.251968\n0.50 -1.926620\n0.75 -0.069262\nName: 1826, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2922961088689611, std values: 0.8760471914907897, min values: -1.9611873305364813, max values: 3.784832159836258, median values: 0.1678102147600103, and quantile values: 0.25 -0.329718\n0.50 0.167810\n0.75 0.868623\nName: 1827, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46297770657978143, std values: 0.9787205583978072, min values: -2.862971749830789, max values: 4.243835016543704, median values: -0.5124892223929856, and quantile values: 0.25 -1.270604\n0.50 -0.512489\n0.75 0.232029\nName: 1828, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04336744792745779, std values: 0.8408117599232812, min values: -2.801183634509044, max values: 5.0, median values: 0.0351517459803418, and quantile values: 0.25 -0.528049\n0.50 0.035152\n0.75 0.583381\nName: 1829, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7895087053936723, std values: 0.8731821504335774, min values: -2.855306289371099, max values: 6.0, median values: -0.9141239505374203, and quantile values: 0.25 -1.421565\n0.50 -0.914124\n0.75 -0.289227\nName: 1830, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0318760510158402, std values: 0.8549965157253148, min values: -2.6635706018350787, max values: 3.667275230673496, median values: 0.0652775623999458, and quantile values: 0.25 -0.550545\n0.50 0.065278\n0.75 0.601898\nName: 1831, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34521361198238665, std values: 1.0094180203865442, min values: -3.598076523509849, max values: 3.0089865423056903, median values: -0.3952750964334139, and quantile values: 0.25 -1.162956\n0.50 -0.395275\n0.75 0.350000\nName: 1832, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01994713801935402, std values: 1.0323622970748327, min values: -2.609385158408876, max values: 4.0, median values: 0.1220536679746851, and quantile values: 0.25 -0.611663\n0.50 0.122054\n0.75 0.706148\nName: 1833, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1946623539081791, std values: 0.8759823851208051, min values: -2.078275132568711, max values: 6.0, median values: 0.1777651848271047, and quantile values: 0.25 -0.459871\n0.50 0.177765\n0.75 0.853488\nName: 1834, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.024062493598129907, std values: 0.7936196804194111, min values: -2.226424194672579, max values: 4.0, median values: 0.0532586593303933, and quantile values: 0.25 -0.502837\n0.50 0.053259\n0.75 0.530065\nName: 1835, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06678132534717943, std values: 0.8856804550707232, min values: -2.398073719407884, max values: 2.726850559923524, median values: -0.174684966873868, and quantile values: 0.25 -0.735260\n0.50 -0.174685\n0.75 0.560840\nName: 1836, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2182126054492473, std values: 0.7689531872409091, min values: -2.087919489660226, max values: 4.0, median values: 0.2181388864255151, and quantile values: 0.25 -0.302017\n0.50 0.218139\n0.75 0.712105\nName: 1837, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.038278412331872805, std values: 0.8729680195789777, min values: -2.8680719719444903, max values: 3.867701659180865, median values: -0.0331652887137206, and quantile values: 0.25 -0.491205\n0.50 -0.033165\n0.75 0.598013\nName: 1838, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.007307366303830315, std values: 0.8084398975326176, min values: -2.7648443048846945, max values: 3.260388056018088, median values: -0.0170476604871307, and quantile values: 0.25 -0.549638\n0.50 -0.017048\n0.75 0.471593\nName: 1839, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0684368137790213, std values: 0.7758408514906324, min values: -2.030951689586731, max values: 3.5427287984042666, median values: -0.1264975376995778, and quantile values: 0.25 -0.579127\n0.50 -0.126498\n0.75 0.378330\nName: 1840, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12167143665883451, std values: 0.8971718211579484, min values: -2.7871422803648627, max values: 3.721862465295849, median values: -0.2002186239234383, and quantile values: 0.25 -0.760078\n0.50 -0.200219\n0.75 0.496732\nName: 1841, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7898352403654543, std values: 1.1076607850741516, min values: -2.697026421440041, max values: 4.0, median values: -0.7961405616093419, and quantile values: 0.25 -1.734326\n0.50 -0.796141\n0.75 -0.082740\nName: 1842, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44838078597384284, std values: 0.8358417732540878, min values: -2.8680719719444903, max values: 2.914368648350671, median values: -0.5662951683826926, and quantile values: 0.25 -1.104820\n0.50 -0.566295\n0.75 0.099120\nName: 1843, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.46836398017089886, std values: 0.8234410291809939, min values: -2.789830374413015, max values: 3.3337116327022187, median values: 0.4800358048957956, and quantile values: 0.25 -0.023968\n0.50 0.480036\n0.75 1.017361\nName: 1844, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22836161765334104, std values: 0.9143344199660773, min values: -1.988079479687454, max values: 3.784832159836258, median values: -0.3851128440925587, and quantile values: 0.25 -0.885637\n0.50 -0.385113\n0.75 0.314571\nName: 1845, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22013162083728027, std values: 0.9391845377084495, min values: -2.732564679617164, max values: 3.670892362631932, median values: 0.329363562936631, and quantile values: 0.25 -0.373949\n0.50 0.329364\n0.75 0.914553\nName: 1846, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11168180285664389, std values: 0.9028968895072683, min values: -2.3771558481240653, max values: 4.0, median values: 0.0302567816259165, and quantile values: 0.25 -0.573292\n0.50 0.030257\n0.75 0.766181\nName: 1847, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04803462196139733, std values: 1.1586045250180073, min values: -2.576018450691392, max values: 4.0, median values: 0.2587737146530428, and quantile values: 0.25 -0.682672\n0.50 0.258774\n0.75 0.896534\nName: 1848, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0162506235867653, std values: 1.2041907676703645, min values: -2.5213149333948146, max values: 4.243835016543704, median values: -0.1146178338242826, and quantile values: 0.25 -0.969490\n0.50 -0.114618\n0.75 0.860791\nName: 1849, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.016468437343292758, std values: 0.7911102484053109, min values: -2.321510952509234, max values: 3.00464355837442, median values: 0.0667460979419536, and quantile values: 0.25 -0.565042\n0.50 0.066746\n0.75 0.607224\nName: 1850, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5438054251711615, std values: 0.8628719688110643, min values: -2.475272102106495, max values: 4.0, median values: 0.5857918138614822, and quantile values: 0.25 -0.058600\n0.50 0.585792\n0.75 1.196987\nName: 1851, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2567669630647371, std values: 0.8709487959183779, min values: -2.2038853164231766, max values: 3.5908526919299577, median values: 0.2601425543497206, and quantile values: 0.25 -0.322452\n0.50 0.260143\n0.75 0.817880\nName: 1852, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22587640529596092, std values: 0.7911769072386633, min values: -2.049514308809313, max values: 6.0, median values: -0.306744956687674, and quantile values: 0.25 -0.748345\n0.50 -0.306745\n0.75 0.268930\nName: 1853, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09732089925807988, std values: 1.516145074390996, min values: -3.0148736195915964, max values: 4.278004674434932, median values: 0.12874304274914, and quantile values: 0.25 -0.730608\n0.50 0.128743\n0.75 0.975456\nName: 1854, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09418854578011182, std values: 0.9077467130211612, min values: -2.1798712735263623, max values: 3.477886732511886, median values: -0.1985022382332235, and quantile values: 0.25 -0.793765\n0.50 -0.198502\n0.75 0.519699\nName: 1855, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16671418596803728, std values: 0.953193328184787, min values: -2.955641696055872, max values: 3.379902545505621, median values: -0.1372727543129251, and quantile values: 0.25 -0.670800\n0.50 -0.137273\n0.75 0.398932\nName: 1856, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07548586404178208, std values: 1.1178998910513698, min values: -2.673124659932621, max values: 6.0, median values: 0.0953440411758509, and quantile values: 0.25 -0.707757\n0.50 0.095344\n0.75 0.831928\nName: 1857, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.056220852626016005, std values: 1.4631111308098363, min values: -2.873069976951463, max values: 4.026668017837955, median values: 0.1516600541379507, and quantile values: 0.25 -1.091383\n0.50 0.151660\n0.75 1.085805\nName: 1858, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.005103949449132189, std values: 0.8898380669624405, min values: -3.0363117572416627, max values: 5.0, median values: 0.028057837752123, and quantile values: 0.25 -0.583885\n0.50 0.028058\n0.75 0.536414\nName: 1859, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.029350501158803593, std values: 0.8028669209729746, min values: -2.3333312203517527, max values: 3.434669824302974, median values: -0.0635484023221455, and quantile values: 0.25 -0.553765\n0.50 -0.063548\n0.75 0.456190\nName: 1860, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10024445217561591, std values: 1.2394619415246821, min values: -2.679056533720636, max values: 5.0, median values: 0.2280732681991914, and quantile values: 0.25 -0.547165\n0.50 0.228073\n0.75 0.994701\nName: 1861, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04253299286067151, std values: 0.9712856324002559, min values: -2.9472833478224456, max values: 6.0, median values: -0.0973397336097516, and quantile values: 0.25 -0.636213\n0.50 -0.097340\n0.75 0.592652\nName: 1862, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.062294260816607015, std values: 0.8166101210908606, min values: -2.2477784840641744, max values: 4.0, median values: 0.015945938005479, and quantile values: 0.25 -0.518022\n0.50 0.015946\n0.75 0.620954\nName: 1863, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3475926962613692, std values: 0.7945892694695996, min values: -2.070696498607387, max values: 3.0, median values: -0.4760532025609589, and quantile values: 0.25 -0.921543\n0.50 -0.476053\n0.75 0.149822\nName: 1864, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4804670426077661, std values: 1.2554780731726543, min values: -2.788272971802125, max values: 6.0, median values: 0.6573022401815811, and quantile values: 0.25 -0.397749\n0.50 0.657302\n0.75 1.477052\nName: 1865, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17506085582702374, std values: 0.8016311513378731, min values: -2.657750824678472, max values: 5.0, median values: -0.1046077110593225, and quantile values: 0.25 -0.692536\n0.50 -0.104608\n0.75 0.336488\nName: 1866, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42002395600550607, std values: 0.9528355583399596, min values: -2.6603025395856053, max values: 5.0, median values: 0.383953849386462, and quantile values: 0.25 -0.114621\n0.50 0.383954\n0.75 1.060192\nName: 1867, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3464344826534631, std values: 1.131356670644908, min values: -2.5213149333948146, max values: 3.0, median values: 0.4506660160810847, and quantile values: 0.25 -0.409884\n0.50 0.450666\n0.75 1.249233\nName: 1868, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1171178843219559, std values: 1.0028716158763222, min values: -2.6404955031131814, max values: 6.0, median values: 0.1441983036149601, and quantile values: 0.25 -0.643793\n0.50 0.144198\n0.75 0.902155\nName: 1869, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18198048039354653, std values: 0.8568554270763239, min values: -2.03580840849463, max values: 3.438667023696733, median values: 0.2850735640634146, and quantile values: 0.25 -0.392390\n0.50 0.285074\n0.75 0.837234\nName: 1870, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13776453517956294, std values: 0.8384054085383366, min values: -2.034483421188461, max values: 4.0, median values: 0.2045320715744034, and quantile values: 0.25 -0.416912\n0.50 0.204532\n0.75 0.685674\nName: 1871, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.002267781227917586, std values: 0.9173854000064943, min values: -2.6685266729136536, max values: 6.0, median values: 0.0652775623999458, and quantile values: 0.25 -0.684864\n0.50 0.065278\n0.75 0.676358\nName: 1872, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09377381268851942, std values: 0.9647644917300991, min values: -2.6466193392086392, max values: 4.0, median values: 0.0524313255178545, and quantile values: 0.25 -0.526456\n0.50 0.052431\n0.75 0.724586\nName: 1873, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16863186022447965, std values: 0.7347324369998717, min values: -2.300042081328127, max values: 4.0, median values: -0.196651587519985, and quantile values: 0.25 -0.669313\n0.50 -0.196652\n0.75 0.270333\nName: 1874, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15733714351977335, std values: 1.1002002881432493, min values: -2.7211321814067784, max values: 3.9905524164385566, median values: -0.0234475767889474, and quantile values: 0.25 -0.739385\n0.50 -0.023448\n0.75 0.561743\nName: 1875, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5150915577463312, std values: 0.9145025314203157, min values: -2.8467638118011016, max values: 5.0, median values: -0.6212947573218738, and quantile values: 0.25 -1.174679\n0.50 -0.621295\n0.75 0.071626\nName: 1876, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3179284593828687, std values: 1.147925602627591, min values: -2.9472833478224456, max values: 6.0, median values: -0.4070060894696895, and quantile values: 0.25 -0.998539\n0.50 -0.407006\n0.75 0.420145\nName: 1877, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6885698611988933, std values: 1.1163237657637677, min values: -2.0565142278745463, max values: 3.496479817235339, median values: 0.6463155559009651, and quantile values: 0.25 -0.158277\n0.50 0.646316\n0.75 1.634151\nName: 1878, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0789853083303122, std values: 0.757695646608226, min values: -2.688157591415518, max values: 5.0, median values: -0.0675501934091802, and quantile values: 0.25 -0.581197\n0.50 -0.067550\n0.75 0.376674\nName: 1879, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06327768071013527, std values: 0.8844090634057212, min values: -2.673549169958716, max values: 6.0, median values: -0.0030252211860648, and quantile values: 0.25 -0.654775\n0.50 -0.003025\n0.75 0.546342\nName: 1880, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43768530846087295, std values: 0.949386126863355, min values: -2.579723791499676, max values: 4.0, median values: 0.4737071371181543, and quantile values: 0.25 -0.252962\n0.50 0.473707\n0.75 1.205899\nName: 1881, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.317593083303335, std values: 0.9657309544973404, min values: -2.108828940494985, max values: 4.243835016543704, median values: 0.2357259234506031, and quantile values: 0.25 -0.297486\n0.50 0.235726\n0.75 0.929086\nName: 1882, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11003854371539924, std values: 0.8784454523775534, min values: -2.060926614662576, max values: 5.0, median values: 0.0824081856245384, and quantile values: 0.25 -0.482602\n0.50 0.082408\n0.75 0.592254\nName: 1883, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08212202378925851, std values: 0.765826535806733, min values: -2.1259194601333946, max values: 3.415255285860171, median values: 0.0011817254983303, and quantile values: 0.25 -0.436795\n0.50 0.001182\n0.75 0.559648\nName: 1884, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2769700780529247, std values: 1.0547906164022176, min values: -2.6820581866633817, max values: 3.045947208515846, median values: -0.2635667932622119, and quantile values: 0.25 -1.005546\n0.50 -0.263567\n0.75 0.457230\nName: 1885, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6544095864350209, std values: 0.9147600282679427, min values: -2.618746139350171, max values: 4.243835016543704, median values: 0.7580600771427383, and quantile values: 0.25 0.031868\n0.50 0.758060\n0.75 1.311110\nName: 1886, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13540214427211172, std values: 0.8109634766379386, min values: -2.564449278715455, max values: 3.20751086257212, median values: -0.1827999919154507, and quantile values: 0.25 -0.673349\n0.50 -0.182800\n0.75 0.342798\nName: 1887, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27691421175990993, std values: 1.0446078995230481, min values: -2.6122411453164007, max values: 4.0, median values: -0.2645946660314539, and quantile values: 0.25 -1.112616\n0.50 -0.264595\n0.75 0.527288\nName: 1888, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25679016353054923, std values: 0.9493156363685461, min values: -2.579952672199424, max values: 6.0, median values: -0.339965295498725, and quantile values: 0.25 -1.030140\n0.50 -0.339965\n0.75 0.416629\nName: 1889, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2391063629801742, std values: 0.9585675843058339, min values: -2.5293911731823453, max values: 3.405671179043623, median values: 0.2468898210843156, and quantile values: 0.25 -0.269861\n0.50 0.246890\n0.75 0.842603\nName: 1890, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11785140151150963, std values: 1.1259754051586084, min values: -2.6800544037614658, max values: 4.0, median values: 0.0178922744874514, and quantile values: 0.25 -0.919557\n0.50 0.017892\n0.75 0.775515\nName: 1891, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15649529795860723, std values: 0.7842273783307784, min values: -2.5689076212724418, max values: 5.0, median values: 0.1777891957791774, and quantile values: 0.25 -0.384105\n0.50 0.177789\n0.75 0.725632\nName: 1892, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11707590324259634, std values: 1.291705650687157, min values: -3.0363117572416627, max values: 5.0, median values: -0.0697033245033166, and quantile values: 0.25 -0.773322\n0.50 -0.069703\n0.75 1.006414\nName: 1893, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3030340700880246, std values: 0.8431627836355631, min values: -2.673124659932621, max values: 6.0, median values: -0.3143108053393398, and quantile values: 0.25 -0.819088\n0.50 -0.314311\n0.75 0.198044\nName: 1894, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17589224541471365, std values: 0.914711410973964, min values: -2.643887016977268, max values: 6.0, median values: -0.2375384828566976, and quantile values: 0.25 -0.827379\n0.50 -0.237538\n0.75 0.439021\nName: 1895, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18028906410753293, std values: 0.7500613459268725, min values: -2.0636979543884086, max values: 5.0, median values: -0.1948830436365945, and quantile values: 0.25 -0.674974\n0.50 -0.194883\n0.75 0.270768\nName: 1896, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39665003416383404, std values: 0.8040896696386813, min values: -2.4657737907743, max values: 3.721862465295849, median values: 0.4192431315946078, and quantile values: 0.25 -0.092092\n0.50 0.419243\n0.75 0.865326\nName: 1897, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03876872980481039, std values: 1.0843819079610246, min values: -2.944950884974346, max values: 3.518664430018096, median values: -0.0189757254268536, and quantile values: 0.25 -0.862886\n0.50 -0.018976\n0.75 0.774321\nName: 1898, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05034630715931212, std values: 0.7487171007925268, min values: -2.476285024008804, max values: 3.103622965243153, median values: 0.0246226336593034, and quantile values: 0.25 -0.438928\n0.50 0.024623\n0.75 0.470669\nName: 1899, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08191256815021794, std values: 0.8933669993196076, min values: -2.8531572940820533, max values: 3.0418703198091483, median values: 0.2081293782691973, and quantile values: 0.25 -0.350654\n0.50 0.208129\n0.75 0.635056\nName: 1900, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22911970528807535, std values: 0.8882678053022639, min values: -2.58513369695146, max values: 4.0, median values: -0.203928757105327, and quantile values: 0.25 -0.757450\n0.50 -0.203929\n0.75 0.312125\nName: 1901, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06181544330460795, std values: 0.786849879145018, min values: -3.066111439712689, max values: 2.8978405238649017, median values: -0.14949967521289, and quantile values: 0.25 -0.599292\n0.50 -0.149500\n0.75 0.432742\nName: 1902, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36883333711883426, std values: 0.9108201455221564, min values: -2.406541011733012, max values: 3.569037956734876, median values: -0.4694014877927285, and quantile values: 0.25 -1.032064\n0.50 -0.469401\n0.75 0.202664\nName: 1903, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4562120694170741, std values: 0.8811105996616996, min values: -2.5422910691068967, max values: 3.2328207660681025, median values: 0.5719030526816408, and quantile values: 0.25 -0.166274\n0.50 0.571903\n0.75 1.092477\nName: 1904, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01659817866598251, std values: 0.7901387377546003, min values: -2.6404955031131814, max values: 6.0, median values: 0.0180116845873332, and quantile values: 0.25 -0.558593\n0.50 0.018012\n0.75 0.474924\nName: 1905, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2737448997460434, std values: 1.0419572891463165, min values: -2.799990485600992, max values: 5.0, median values: -0.3165700087324232, and quantile values: 0.25 -1.099462\n0.50 -0.316570\n0.75 0.409161\nName: 1906, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7678889678122562, std values: 0.9793082088310835, min values: -2.3333312203517527, max values: 3.784832159836258, median values: 0.8954325225092824, and quantile values: 0.25 0.094015\n0.50 0.895433\n0.75 1.524081\nName: 1907, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26940278584237287, std values: 0.8568276518198096, min values: -2.688157591415518, max values: 3.9905524164385566, median values: 0.1990807856881534, and quantile values: 0.25 -0.302268\n0.50 0.199081\n0.75 0.856311\nName: 1908, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15155577383810886, std values: 0.8529701939534698, min values: -2.860922438481449, max values: 3.071353155688046, median values: 0.175495943100357, and quantile values: 0.25 -0.439448\n0.50 0.175496\n0.75 0.695935\nName: 1909, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1865951320398384, std values: 0.8764972242975804, min values: -2.93129584560762, max values: 6.0, median values: -0.1243059987917633, and quantile values: 0.25 -0.694470\n0.50 -0.124306\n0.75 0.322290\nName: 1910, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06728109025987244, std values: 0.8433469638875123, min values: -2.4737574649270093, max values: 3.721862465295849, median values: -0.0358914292852605, and quantile values: 0.25 -0.695171\n0.50 -0.035891\n0.75 0.526044\nName: 1911, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.120074612114301, std values: 1.2351784456838277, min values: -2.727901130262228, max values: 4.0, median values: -1.698650509722466, and quantile values: 0.25 -2.140874\n0.50 -1.698651\n0.75 -0.111960\nName: 1912, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15541706780437073, std values: 0.8592905308272426, min values: -2.5953860446419177, max values: 5.0, median values: -0.1261640037146829, and quantile values: 0.25 -0.689118\n0.50 -0.126164\n0.75 0.348719\nName: 1913, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06136222263537156, std values: 0.9750752101472903, min values: -2.673549169958716, max values: 6.0, median values: -0.0787606180911504, and quantile values: 0.25 -0.730592\n0.50 -0.078761\n0.75 0.617001\nName: 1914, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3528766952780416, std values: 0.8783628177158391, min values: -2.5689076212724418, max values: 5.0, median values: 0.4589252020153195, and quantile values: 0.25 -0.286307\n0.50 0.458925\n0.75 1.007575\nName: 1915, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.009529387457901098, std values: 0.8656722939564058, min values: -2.510124273981921, max values: 3.0, median values: -0.0136048403299582, and quantile values: 0.25 -0.499890\n0.50 -0.013605\n0.75 0.526550\nName: 1916, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18833990960502972, std values: 0.778071472650394, min values: -2.117561035454381, max values: 3.0, median values: -0.2755026438908931, and quantile values: 0.25 -0.715906\n0.50 -0.275503\n0.75 0.310116\nName: 1917, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3477467926921105, std values: 1.0803835330071552, min values: -3.0133870328644434, max values: 3.434669824302974, median values: 0.5267718830215862, and quantile values: 0.25 -0.333378\n0.50 0.526772\n0.75 1.116609\nName: 1918, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06184434327630475, std values: 0.9526543055481098, min values: -2.4176069991382847, max values: 6.0, median values: -0.0482951833726029, and quantile values: 0.25 -0.687588\n0.50 -0.048295\n0.75 0.732912\nName: 1919, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16847153970647863, std values: 0.8858357124462239, min values: -2.051448664269812, max values: 3.336438412828754, median values: 0.1582050849990801, and quantile values: 0.25 -0.389655\n0.50 0.158205\n0.75 0.730437\nName: 1920, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2082238553460379, std values: 0.7351276099073024, min values: -2.1558924048879446, max values: 3.0, median values: -0.160664407892876, and quantile values: 0.25 -0.739634\n0.50 -0.160664\n0.75 0.281153\nName: 1921, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5350356090258183, std values: 0.8918976613665721, min values: -2.688157591415518, max values: 3.3483277116524426, median values: -0.6929268986431474, and quantile values: 0.25 -1.222795\n0.50 -0.692927\n0.75 0.030270\nName: 1922, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8891181501551253, std values: 1.258214157851586, min values: -2.982771139679002, max values: 4.0, median values: 1.1392919360125435, and quantile values: 0.25 0.185622\n0.50 1.139292\n0.75 1.851513\nName: 1923, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34661489094165965, std values: 0.7624151415863885, min values: -2.2398683045325223, max values: 3.0, median values: -0.3832161235441843, and quantile values: 0.25 -0.874151\n0.50 -0.383216\n0.75 0.090763\nName: 1924, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.332783859780184, std values: 0.9126505085690175, min values: -2.4502625580775623, max values: 5.0, median values: 0.4051330717886554, and quantile values: 0.25 -0.336338\n0.50 0.405133\n0.75 1.038445\nName: 1925, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03313308764797936, std values: 0.7712005234167588, min values: -2.0287261898628506, max values: 5.0, median values: -0.0507887420421377, and quantile values: 0.25 -0.540936\n0.50 -0.050789\n0.75 0.395217\nName: 1926, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6989756951406494, std values: 0.9249832227723934, min values: -3.4448847096097555, max values: 2.9602605313227603, median values: -0.7431811631542944, and quantile values: 0.25 -1.402460\n0.50 -0.743181\n0.75 -0.108414\nName: 1927, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4216132460940054, std values: 1.0445138815493336, min values: -2.6466193392086392, max values: 4.0, median values: -0.4471023773477326, and quantile values: 0.25 -1.096192\n0.50 -0.447102\n0.75 0.272681\nName: 1928, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17864062423588933, std values: 0.9758969267844543, min values: -2.783691185534105, max values: 4.243835016543704, median values: -0.304070567891312, and quantile values: 0.25 -0.937299\n0.50 -0.304071\n0.75 0.495930\nName: 1929, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5746245148879733, std values: 0.9137626087735463, min values: -2.156806272086999, max values: 3.5427287984042666, median values: -0.6889061207783328, and quantile values: 0.25 -1.334007\n0.50 -0.688906\n0.75 0.030919\nName: 1930, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0927459442775756, std values: 0.8744355204446546, min values: -1.989871054037948, max values: 6.0, median values: -0.0030568685103333, and quantile values: 0.25 -0.502751\n0.50 -0.003057\n0.75 0.600785\nName: 1931, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1690329550766857, std values: 0.8719017568776576, min values: -2.610097161345549, max values: 4.0, median values: 0.2694191914849684, and quantile values: 0.25 -0.312257\n0.50 0.269419\n0.75 0.733774\nName: 1932, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6503922865879892, std values: 0.9644940100111482, min values: -2.5774281843044924, max values: 4.0, median values: -0.8280785506882686, and quantile values: 0.25 -1.410268\n0.50 -0.828079\n0.75 -0.026474\nName: 1933, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02945592640764511, std values: 0.9693259409218344, min values: -2.9898739724800576, max values: 3.670892362631932, median values: -0.0611095726367607, and quantile values: 0.25 -0.753859\n0.50 -0.061110\n0.75 0.703048\nName: 1934, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3057566661577229, std values: 0.8768580012745819, min values: -2.688157591415518, max values: 5.0, median values: 0.3622555606953254, and quantile values: 0.25 -0.344453\n0.50 0.362256\n0.75 0.935122\nName: 1935, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14025176496513012, std values: 0.8315320217793909, min values: -2.5820330744015787, max values: 4.0, median values: 0.1415830444375871, and quantile values: 0.25 -0.327591\n0.50 0.141583\n0.75 0.628050\nName: 1936, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8188414408409276, std values: 1.0242230578035607, min values: -2.469941537133514, max values: 4.0, median values: 0.8147674268492524, and quantile values: 0.25 0.162371\n0.50 0.814767\n0.75 1.505776\nName: 1937, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3904190548392832, std values: 1.052644417482314, min values: -2.623568901859613, max values: 4.0, median values: -0.4783368686436572, and quantile values: 0.25 -1.278864\n0.50 -0.478337\n0.75 0.353594\nName: 1938, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6788776053235702, std values: 1.1335639997741322, min values: -2.017754962508897, max values: 6.0, median values: 0.6553120363937246, and quantile values: 0.25 -0.202439\n0.50 0.655312\n0.75 1.644428\nName: 1939, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38177864253636173, std values: 0.9872010785820893, min values: -2.919359491767569, max values: 6.0, median values: 0.3814969393455364, and quantile values: 0.25 -0.333466\n0.50 0.381497\n0.75 1.164962\nName: 1940, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.022902931597377964, std values: 1.2447468009252247, min values: -3.242093130849769, max values: 3.390469008396469, median values: 0.3104649268815586, and quantile values: 0.25 -0.778602\n0.50 0.310465\n0.75 1.003891\nName: 1941, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3116890586174373, std values: 0.742505526538451, min values: -1.9902700503252555, max values: 3.216771431244405, median values: 0.3025362538959851, and quantile values: 0.25 -0.141140\n0.50 0.302536\n0.75 0.779274\nName: 1942, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5475946757770578, std values: 0.8750078741583365, min values: -2.041071882478405, max values: 3.627976272701048, median values: 0.6653347185307068, and quantile values: 0.25 -0.002313\n0.50 0.665335\n0.75 1.127462\nName: 1943, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3367189464181153, std values: 0.9222804750676166, min values: -2.6201435104586555, max values: 6.0, median values: -0.4117975669294438, and quantile values: 0.25 -1.091705\n0.50 -0.411798\n0.75 0.313848\nName: 1944, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12740875371092072, std values: 0.7546154114896361, min values: -2.6635706018350787, max values: 3.5021977227593246, median values: 0.0734037319865557, and quantile values: 0.25 -0.359992\n0.50 0.073404\n0.75 0.605499\nName: 1945, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07262325585625971, std values: 0.7713792561030279, min values: -2.580492024304656, max values: 4.0, median values: -0.0356985305544257, and quantile values: 0.25 -0.582372\n0.50 -0.035699\n0.75 0.407904\nName: 1946, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2435918176308085, std values: 1.8281229771938243, min values: -3.0363117572416627, max values: 5.0, median values: -0.2280876323008363, and quantile values: 0.25 -2.071637\n0.50 -0.228088\n0.75 1.327398\nName: 1947, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29194067195455603, std values: 0.879513708320679, min values: -2.1323052317104474, max values: 5.0, median values: -0.4224928091707, and quantile values: 0.25 -0.942053\n0.50 -0.422493\n0.75 0.289301\nName: 1948, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7916118238015672, std values: 0.8796789877561799, min values: -1.9372590169137696, max values: 6.0, median values: 0.916783203349486, and quantile values: 0.25 0.235046\n0.50 0.916783\n0.75 1.396099\nName: 1949, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13441373170971196, std values: 0.9638098665318686, min values: -2.5825978442440407, max values: 6.0, median values: 0.145478469686724, and quantile values: 0.25 -0.571378\n0.50 0.145478\n0.75 0.834590\nName: 1950, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06636574781500652, std values: 0.7760826346377658, min values: -2.3771558481240653, max values: 4.0, median values: -0.0618651979791378, and quantile values: 0.25 -0.582260\n0.50 -0.061865\n0.75 0.418071\nName: 1951, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9613110976732558, std values: 1.3847261696119053, min values: -2.727901130262228, max values: 4.0, median values: -1.6881287927035922, and quantile values: 0.25 -2.140406\n0.50 -1.688129\n0.75 0.317959\nName: 1952, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19045152555911496, std values: 0.9555660139806235, min values: -2.086946282658587, max values: 5.0, median values: 0.1931151090886194, and quantile values: 0.25 -0.495078\n0.50 0.193115\n0.75 0.872766\nName: 1953, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09888643508844254, std values: 0.7941191015613273, min values: -1.996697506499118, max values: 4.243835016543704, median values: 0.1525794275399767, and quantile values: 0.25 -0.463292\n0.50 0.152579\n0.75 0.630552\nName: 1954, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6980870827132054, std values: 1.0959894321489574, min values: -2.697026421440041, max values: 4.0, median values: -0.5441755249312509, and quantile values: 0.25 -1.729982\n0.50 -0.544176\n0.75 0.089623\nName: 1955, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6653647837418456, std values: 0.7854215781317198, min values: -2.838932175687192, max values: 4.0, median values: -0.7910475346150371, and quantile values: 0.25 -1.219558\n0.50 -0.791048\n0.75 -0.248230\nName: 1956, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18714467944519914, std values: 1.0547863389960248, min values: -2.5743883495350026, max values: 5.0, median values: -0.3014725512252761, and quantile values: 0.25 -0.906399\n0.50 -0.301473\n0.75 0.471278\nName: 1957, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.015042412134236176, std values: 1.1746397047914867, min values: -2.92272757463548, max values: 6.0, median values: 0.1329372292435386, and quantile values: 0.25 -0.660536\n0.50 0.132937\n0.75 0.838917\nName: 1958, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21683856528203518, std values: 0.8681773785744055, min values: -3.000356517591168, max values: 3.047545592545638, median values: -0.1770449038546667, and quantile values: 0.25 -0.859773\n0.50 -0.177045\n0.75 0.448716\nName: 1959, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2991523438124511, std values: 0.7682053220529425, min values: -2.057690731496465, max values: 6.0, median values: -0.3292472679513771, and quantile values: 0.25 -0.827246\n0.50 -0.329247\n0.75 0.139163\nName: 1960, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28153976114217116, std values: 0.8047023607212578, min values: -2.2915911556076085, max values: 3.670892362631932, median values: 0.3026104784719458, and quantile values: 0.25 -0.248328\n0.50 0.302610\n0.75 0.807153\nName: 1961, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2812494015204863, std values: 0.8582205705744206, min values: -2.657750824678472, max values: 5.0, median values: -0.3718590404570354, and quantile values: 0.25 -0.831072\n0.50 -0.371859\n0.75 0.242287\nName: 1962, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13441185725973298, std values: 0.815920847465951, min values: -2.2165554792012925, max values: 4.0, median values: -0.227782190605692, and quantile values: 0.25 -0.685255\n0.50 -0.227782\n0.75 0.359994\nName: 1963, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04143568936356164, std values: 1.1919683669508985, min values: -2.87684958111886, max values: 3.518664430018096, median values: 0.1364110048049413, and quantile values: 0.25 -0.641321\n0.50 0.136411\n0.75 0.764376\nName: 1964, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15466980501523514, std values: 0.9463218260632065, min values: -2.4788285026914285, max values: 4.0, median values: -0.1593060593160788, and quantile values: 0.25 -0.921182\n0.50 -0.159306\n0.75 0.584277\nName: 1965, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18353962401933888, std values: 0.7984724963346705, min values: -2.205136496977226, max values: 3.0, median values: -0.2429201134094735, and quantile values: 0.25 -0.752945\n0.50 -0.242920\n0.75 0.328462\nName: 1966, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15733836618891958, std values: 0.9907066341861177, min values: -2.245752867605861, max values: 4.243835016543704, median values: -0.149404075483355, and quantile values: 0.25 -0.962427\n0.50 -0.149404\n0.75 0.560034\nName: 1967, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3734647934950872, std values: 1.3810901166149336, min values: -2.9090251609554527, max values: 6.0, median values: -0.1970079642881513, and quantile values: 0.25 -1.786306\n0.50 -0.197008\n0.75 0.728032\nName: 1968, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0750813532667982, std values: 0.9246642887232467, min values: -2.622709665346679, max values: 3.518664430018096, median values: -0.0658665531740378, and quantile values: 0.25 -0.640949\n0.50 -0.065867\n0.75 0.479665\nName: 1969, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0037058378449040903, std values: 0.8576033363326743, min values: -2.673124659932621, max values: 6.0, median values: 0.0493153522744207, and quantile values: 0.25 -0.512273\n0.50 0.049315\n0.75 0.560292\nName: 1970, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21191185866374515, std values: 0.833033544230832, min values: -2.096768618411309, max values: 6.0, median values: -0.3232615117826241, and quantile values: 0.25 -0.803269\n0.50 -0.323262\n0.75 0.285332\nName: 1971, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3031810773784507, std values: 0.8234640253206835, min values: -3.3126932323446474, max values: 3.1166497049712243, median values: 0.3859137645934112, and quantile values: 0.25 -0.120278\n0.50 0.385914\n0.75 0.779723\nName: 1972, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18154312001801698, std values: 0.7821153511140739, min values: -2.87684958111886, max values: 3.5581019918925243, median values: 0.1523204858217108, and quantile values: 0.25 -0.316297\n0.50 0.152320\n0.75 0.658714\nName: 1973, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2289740341260672, std values: 0.8258838526900517, min values: -2.271143658239337, max values: 6.0, median values: 0.2884632778343006, and quantile values: 0.25 -0.333763\n0.50 0.288463\n0.75 0.813042\nName: 1974, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3172777007627356, std values: 0.9857207434087001, min values: -2.4176069991382847, max values: 6.0, median values: 0.2862218905492948, and quantile values: 0.25 -0.357801\n0.50 0.286222\n0.75 0.964523\nName: 1975, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.46935209792956295, std values: 1.006700395833104, min values: -2.422675917011138, max values: 5.0, median values: 0.5481262794530468, and quantile values: 0.25 -0.134465\n0.50 0.548126\n0.75 1.094884\nName: 1976, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6278870347319901, std values: 1.3363849090954534, min values: -2.944950884974346, max values: 3.0, median values: -0.3033033216421057, and quantile values: 0.25 -1.999332\n0.50 -0.303303\n0.75 0.442574\nName: 1977, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25561241420091496, std values: 0.8075009167550716, min values: -1.9699298801385488, max values: 4.0, median values: 0.2764223568857225, and quantile values: 0.25 -0.300424\n0.50 0.276422\n0.75 0.773651\nName: 1978, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10668015465216474, std values: 0.8051393798635904, min values: -2.259683290559568, max values: 4.278004674434932, median values: -0.1422379231980716, and quantile values: 0.25 -0.646782\n0.50 -0.142238\n0.75 0.348029\nName: 1979, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11346076546486292, std values: 0.7572731830033865, min values: -2.5039074859839925, max values: 4.0, median values: 0.0688751594624608, and quantile values: 0.25 -0.351015\n0.50 0.068875\n0.75 0.576306\nName: 1980, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24194561419608726, std values: 1.0079502992381877, min values: -2.7230534645798463, max values: 3.3636961113187773, median values: 0.3309160283791615, and quantile values: 0.25 -0.375787\n0.50 0.330916\n0.75 0.979853\nName: 1981, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03539261392286854, std values: 1.0264647307474037, min values: -2.6270253558526173, max values: 4.0, median values: 0.0349269488424337, and quantile values: 0.25 -0.556173\n0.50 0.034927\n0.75 0.629728\nName: 1982, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13027162164912698, std values: 0.794093330485261, min values: -2.6685266729136536, max values: 5.0, median values: -0.197996063714333, and quantile values: 0.25 -0.667385\n0.50 -0.197996\n0.75 0.329743\nName: 1983, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06485114901463966, std values: 0.9141265511470879, min values: -2.841647375415054, max values: 5.0, median values: -0.0185305119473519, and quantile values: 0.25 -0.573825\n0.50 -0.018531\n0.75 0.663331\nName: 1984, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11973586210812236, std values: 0.7655050071009217, min values: -2.572123985342288, max values: 4.0, median values: -0.098288488215183, and quantile values: 0.25 -0.631105\n0.50 -0.098288\n0.75 0.352597\nName: 1985, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23324525715716082, std values: 1.0020571946792542, min values: -2.679056533720636, max values: 5.0, median values: 0.3087273998006862, and quantile values: 0.25 -0.476115\n0.50 0.308727\n0.75 1.052694\nName: 1986, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06307132384486963, std values: 0.8142443667476077, min values: -2.7428415536925543, max values: 3.0533207538164056, median values: -0.1611973144830863, and quantile values: 0.25 -0.631576\n0.50 -0.161197\n0.75 0.451032\nName: 1987, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07886471014828467, std values: 0.7894133795402617, min values: -2.5569229852416258, max values: 4.0, median values: -0.0960563306284194, and quantile values: 0.25 -0.588419\n0.50 -0.096056\n0.75 0.401269\nName: 1988, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2965527251353409, std values: 0.8181574817018601, min values: -2.541693081833126, max values: 3.5021977227593246, median values: -0.3459828072240485, and quantile values: 0.25 -0.881213\n0.50 -0.345983\n0.75 0.174629\nName: 1989, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29015624367818105, std values: 0.8211990471290168, min values: -2.5953860446419177, max values: 5.0, median values: -0.3581281524505372, and quantile values: 0.25 -0.800910\n0.50 -0.358128\n0.75 0.210119\nName: 1990, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9404991011231424, std values: 1.4523954200393634, min values: -2.727901130262228, max values: 4.0, median values: -1.6812987528552832, and quantile values: 0.25 -2.140406\n0.50 -1.681299\n0.75 0.122720\nName: 1991, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3281200987643959, std values: 1.055507633801157, min values: -2.730840794324401, max values: 3.155379154255993, median values: -0.2967953964790685, and quantile values: 0.25 -1.086317\n0.50 -0.296795\n0.75 0.415778\nName: 1992, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14900224819179528, std values: 1.0458122817655522, min values: -2.609385158408876, max values: 4.0, median values: 0.237835706153519, and quantile values: 0.25 -0.529305\n0.50 0.237836\n0.75 0.882147\nName: 1993, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12493343677807726, std values: 1.008275130018463, min values: -2.879968592907284, max values: 4.0, median values: -0.0275140342592468, and quantile values: 0.25 -0.674628\n0.50 -0.027514\n0.75 0.509982\nName: 1994, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2947625554123405, std values: 1.12292803232392, min values: -2.933035609461076, max values: 5.0, median values: -0.1202341724035224, and quantile values: 0.25 -0.955614\n0.50 -0.120234\n0.75 0.472294\nName: 1995, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1441706435691723, std values: 0.7812400768027685, min values: -2.134987510471223, max values: 6.0, median values: -0.1211936115997701, and quantile values: 0.25 -0.694400\n0.50 -0.121194\n0.75 0.347162\nName: 1996, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12327717598420772, std values: 1.0957297397705135, min values: -2.684072796644972, max values: 6.0, median values: 0.2368876254209462, and quantile values: 0.25 -0.463104\n0.50 0.236888\n0.75 0.823820\nName: 1997, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5781970134229174, std values: 0.8467727577816764, min values: -2.0131371991989395, max values: 3.110498035652072, median values: 0.6848983897574809, and quantile values: 0.25 0.024488\n0.50 0.684898\n0.75 1.190492\nName: 1998, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45357640581410713, std values: 0.8572502620144692, min values: -3.0390690173369013, max values: 3.155379154255993, median values: -0.4365866673323828, and quantile values: 0.25 -1.100843\n0.50 -0.436587\n0.75 0.130270\nName: 1999, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30999210398011984, std values: 1.0558930292390132, min values: -2.9622221028070275, max values: 6.0, median values: 0.4621574771974698, and quantile values: 0.25 -0.324731\n0.50 0.462157\n0.75 1.121083\nName: 2000, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08530023433434661, std values: 0.9800423300663479, min values: -2.541693081833126, max values: 4.243835016543704, median values: -0.108054144061378, and quantile values: 0.25 -0.779114\n0.50 -0.108054\n0.75 0.524791\nName: 2001, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1461399624564896, std values: 0.7375788444555866, min values: -2.0258339246740453, max values: 6.0, median values: 0.1799164078366449, and quantile values: 0.25 -0.345055\n0.50 0.179916\n0.75 0.615172\nName: 2002, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24211320979345152, std values: 0.9746148262446525, min values: -2.860922438481449, max values: 3.867701659180865, median values: 0.2106660090150812, and quantile values: 0.25 -0.384895\n0.50 0.210666\n0.75 0.925525\nName: 2003, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.46939636103116794, std values: 0.9570186632099178, min values: -2.6899145007874274, max values: 3.784832159836258, median values: 0.5430522117212546, and quantile values: 0.25 -0.204547\n0.50 0.543052\n0.75 1.164582\nName: 2004, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25191237965562624, std values: 0.8509078066185125, min values: -2.2625226906606595, max values: 3.32433157891547, median values: -0.3929845179306508, and quantile values: 0.25 -0.864085\n0.50 -0.392985\n0.75 0.247596\nName: 2005, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36344385354925207, std values: 0.7957855448727827, min values: -2.352074604067917, max values: 3.627976272701048, median values: 0.3509275319727891, and quantile values: 0.25 -0.146800\n0.50 0.350928\n0.75 0.879793\nName: 2006, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0497050157391695, std values: 0.7862224401505685, min values: -2.442256129120324, max values: 6.0, median values: -0.0385574283828548, and quantile values: 0.25 -0.546363\n0.50 -0.038557\n0.75 0.404614\nName: 2007, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2900211937100446, std values: 1.0553031764872822, min values: -2.7211321814067784, max values: 3.0, median values: -0.2531480460061459, and quantile values: 0.25 -0.920090\n0.50 -0.253148\n0.75 0.436688\nName: 2008, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19294862048565822, std values: 0.8022586880389713, min values: -2.6652153608723106, max values: 3.2906806286429298, median values: 0.1455573099867911, and quantile values: 0.25 -0.377398\n0.50 0.145557\n0.75 0.724310\nName: 2009, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24308438018194944, std values: 0.9525001740984557, min values: -2.891990595045606, max values: 6.0, median values: 0.3592623734840627, and quantile values: 0.25 -0.275822\n0.50 0.359262\n0.75 0.839589\nName: 2010, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05801755742010394, std values: 0.8421485716306417, min values: -2.72346435408924, max values: 4.0, median values: -0.0910238420272536, and quantile values: 0.25 -0.663419\n0.50 -0.091024\n0.75 0.461943\nName: 2011, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5277732375483671, std values: 1.0725273114234852, min values: -2.5122218748354936, max values: 3.784832159836258, median values: 0.6121760600519385, and quantile values: 0.25 -0.179832\n0.50 0.612176\n0.75 1.392601\nName: 2012, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.023755429473595633, std values: 0.8587484835849408, min values: -2.109016651938832, max values: 4.0, median values: -0.1033482925545603, and quantile values: 0.25 -0.556826\n0.50 -0.103348\n0.75 0.558842\nName: 2013, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28747251627071646, std values: 0.9532866915950415, min values: -2.72346435408924, max values: 4.0, median values: 0.2934932152794136, and quantile values: 0.25 -0.254377\n0.50 0.293493\n0.75 0.909611\nName: 2014, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0641913321267969, std values: 1.0719800926695544, min values: -3.3126932323446474, max values: 3.036311757241655, median values: -0.0236839874699155, and quantile values: 0.25 -0.780285\n0.50 -0.023684\n0.75 0.857988\nName: 2015, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0423318110256632, std values: 0.8985540754475716, min values: -2.475778245535816, max values: 3.867701659180865, median values: -0.0012053600196308, and quantile values: 0.25 -0.647131\n0.50 -0.001205\n0.75 0.660210\nName: 2016, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24263572266558714, std values: 0.7955546877779786, min values: -2.264034258932616, max values: 3.379902545505621, median values: 0.2762506901598168, and quantile values: 0.25 -0.290164\n0.50 0.276251\n0.75 0.767545\nName: 2017, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7040178501688531, std values: 0.898474172544287, min values: -2.638186942019407, max values: 4.0, median values: -0.7459063042574609, and quantile values: 0.25 -1.297499\n0.50 -0.745906\n0.75 -0.196285\nName: 2018, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1840832887476636, std values: 0.7424213563799058, min values: -2.8843374390620142, max values: 6.0, median values: 0.2026017261880151, and quantile values: 0.25 -0.284988\n0.50 0.202602\n0.75 0.641998\nName: 2019, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.031254217253983994, std values: 0.7820253411715602, min values: -1.854886803198908, max values: 5.0, median values: 0.0469317141951461, and quantile values: 0.25 -0.530795\n0.50 0.046932\n0.75 0.546122\nName: 2020, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06916020313817116, std values: 0.763006440282142, min values: -2.2012167772695554, max values: 2.890580632480353, median values: 0.1206665246205625, and quantile values: 0.25 -0.467555\n0.50 0.120667\n0.75 0.576899\nName: 2021, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2345319793266425, std values: 0.971119631441264, min values: -2.1227739687253626, max values: 6.0, median values: -0.3192043972319518, and quantile values: 0.25 -1.041915\n0.50 -0.319204\n0.75 0.457665\nName: 2022, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27141914394223715, std values: 0.9111426805541752, min values: -2.300042081328127, max values: 4.0, median values: -0.3912001359222098, and quantile values: 0.25 -0.941066\n0.50 -0.391200\n0.75 0.319951\nName: 2023, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45455879471581223, std values: 1.0432322856534588, min values: -2.6850842010492566, max values: 6.0, median values: -0.513378817068277, and quantile values: 0.25 -1.374263\n0.50 -0.513379\n0.75 0.332464\nName: 2024, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.028348998506718376, std values: 0.7887665103479445, min values: -2.068409635448683, max values: 3.5908526919299577, median values: 0.0054803507316512, and quantile values: 0.25 -0.580382\n0.50 0.005480\n0.75 0.462684\nName: 2025, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18142240797759368, std values: 1.3280634267363334, min values: -2.608390851963037, max values: 5.0, median values: 0.059996712486117, and quantile values: 0.25 -0.905828\n0.50 0.059997\n0.75 1.353020\nName: 2026, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.052040127472647246, std values: 0.887168873425648, min values: -2.8680719719444903, max values: 3.5021977227593246, median values: 0.0462825640909252, and quantile values: 0.25 -0.523164\n0.50 0.046283\n0.75 0.644911\nName: 2027, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01448377001517443, std values: 0.8857187764659605, min values: -2.693453432157769, max values: 4.243835016543704, median values: 0.0714843067327132, and quantile values: 0.25 -0.494985\n0.50 0.071484\n0.75 0.533736\nName: 2028, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2472754962594923, std values: 0.7796592078293175, min values: -2.537573835824454, max values: 6.0, median values: -0.3106614506810338, and quantile values: 0.25 -0.802442\n0.50 -0.310661\n0.75 0.231131\nName: 2029, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10164976871714489, std values: 1.2594689593679864, min values: -2.688157591415518, max values: 4.0, median values: 0.167335426836308, and quantile values: 0.25 -1.030233\n0.50 0.167335\n0.75 0.863765\nName: 2030, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13457479018086507, std values: 0.826454124425016, min values: -2.116947891343001, max values: 5.0, median values: -0.1892445907926746, and quantile values: 0.25 -0.781331\n0.50 -0.189245\n0.75 0.410359\nName: 2031, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5051814501784613, std values: 1.1192844961307884, min values: -2.56026492390943, max values: 4.0, median values: 0.494268967580655, and quantile values: 0.25 -0.345531\n0.50 0.494269\n0.75 1.350352\nName: 2032, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5099263041688389, std values: 0.891412448556463, min values: -2.521882829270847, max values: 4.0, median values: 0.6347092525123823, and quantile values: 0.25 0.037076\n0.50 0.634709\n0.75 1.101970\nName: 2033, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05790464719063736, std values: 1.0030193339957907, min values: -2.541693081833126, max values: 3.071353155688046, median values: 0.0883507668393, and quantile values: 0.25 -0.619452\n0.50 0.088351\n0.75 0.785759\nName: 2034, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08103290797153581, std values: 0.7962942365488035, min values: -2.5046447434119337, max values: 4.0, median values: 0.0737592105759544, and quantile values: 0.25 -0.462947\n0.50 0.073759\n0.75 0.537496\nName: 2035, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33860494409196434, std values: 0.8595008142465347, min values: -1.855194572259078, max values: 3.0, median values: 0.3828091916749472, and quantile values: 0.25 -0.267974\n0.50 0.382809\n0.75 1.003903\nName: 2036, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1600880783184971, std values: 1.059844488866999, min values: -2.72346435408924, max values: 4.0, median values: 0.3229158740243941, and quantile values: 0.25 -0.509199\n0.50 0.322916\n0.75 0.951592\nName: 2037, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2285054315626178, std values: 0.7892253909181555, min values: -2.73836943861057, max values: 3.5908526919299577, median values: 0.2181776410140129, and quantile values: 0.25 -0.259091\n0.50 0.218178\n0.75 0.687966\nName: 2038, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.028212754809867385, std values: 0.7897785548614947, min values: -2.3922473154067863, max values: 5.0, median values: -0.0453176766284798, and quantile values: 0.25 -0.500988\n0.50 -0.045318\n0.75 0.534008\nName: 2039, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6665774763060229, std values: 0.9674967510402408, min values: -2.732564679617164, max values: 3.569037956734876, median values: 0.6617864236924854, and quantile values: 0.25 -0.005271\n0.50 0.661786\n0.75 1.306546\nName: 2040, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19543040331320646, std values: 0.9188296767476625, min values: -2.673124659932621, max values: 6.0, median values: -0.1431965994356892, and quantile values: 0.25 -0.737747\n0.50 -0.143197\n0.75 0.372200\nName: 2041, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4848722051996226, std values: 1.0570118368102233, min values: -2.622408470084112, max values: 3.155379154255993, median values: 0.5751756789754102, and quantile values: 0.25 -0.049095\n0.50 0.575176\n0.75 1.157504\nName: 2042, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.016017554990520964, std values: 0.920894446733269, min values: -2.0845218758782083, max values: 5.0, median values: -0.0267163115052057, and quantile values: 0.25 -0.629745\n0.50 -0.026716\n0.75 0.619232\nName: 2043, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2291241697379313, std values: 0.953671353464513, min values: -2.102760548955074, max values: 6.0, median values: -0.2865940070776218, and quantile values: 0.25 -1.016934\n0.50 -0.286594\n0.75 0.442481\nName: 2044, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1312626878653592, std values: 0.8685705759969827, min values: -2.739804196611005, max values: 6.0, median values: 0.1775099016121268, and quantile values: 0.25 -0.391164\n0.50 0.177510\n0.75 0.638651\nName: 2045, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18442253151329657, std values: 0.8060563476422803, min values: -2.7024513197886706, max values: 3.098911021393695, median values: -0.2674207266480066, and quantile values: 0.25 -0.723573\n0.50 -0.267421\n0.75 0.278302\nName: 2046, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15059729998292082, std values: 1.1003080815357562, min values: -2.622709665346679, max values: 3.066111439712683, median values: 0.1920462566021285, and quantile values: 0.25 -0.665128\n0.50 0.192046\n0.75 1.043480\nName: 2047, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20603802120708856, std values: 0.891544146785122, min values: -2.2915911556076085, max values: 3.0838352979250487, median values: -0.331457636274228, and quantile values: 0.25 -0.911128\n0.50 -0.331458\n0.75 0.395786\nName: 2048, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45728314757057603, std values: 1.2150728447467802, min values: -2.6122411453164007, max values: 4.0, median values: 0.6274459548229001, and quantile values: 0.25 -0.296623\n0.50 0.627446\n0.75 1.362090\nName: 2049, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.008613642637449681, std values: 0.8347997149760493, min values: -2.0744709221036657, max values: 3.379902545505621, median values: -0.0911158087821691, and quantile values: 0.25 -0.628956\n0.50 -0.091116\n0.75 0.562437\nName: 2050, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2526369197780937, std values: 0.86753706297073, min values: -2.9029979285382743, max values: 6.0, median values: -0.3330637520634987, and quantile values: 0.25 -0.813547\n0.50 -0.333064\n0.75 0.303940\nName: 2051, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.028733413163232354, std values: 1.0472605192228233, min values: -2.92272757463548, max values: 6.0, median values: -0.1651016352435087, and quantile values: 0.25 -0.777930\n0.50 -0.165102\n0.75 0.675043\nName: 2052, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34292866774136915, std values: 0.8560771336444024, min values: -2.1502995050841665, max values: 3.0, median values: -0.475189760341827, and quantile values: 0.25 -0.982526\n0.50 -0.475190\n0.75 0.216856\nName: 2053, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12734520271708394, std values: 0.7819297665555449, min values: -2.9278427058120164, max values: 6.0, median values: 0.0487299926421542, and quantile values: 0.25 -0.386423\n0.50 0.048730\n0.75 0.620722\nName: 2054, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2017508871707447, std values: 0.8981377595575244, min values: -2.8531572940820533, max values: 6.0, median values: -0.2272397622863877, and quantile values: 0.25 -0.770984\n0.50 -0.227240\n0.75 0.361608\nName: 2055, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27587538047745397, std values: 1.045345775015636, min values: -2.607565022042742, max values: 4.0, median values: 0.3392908745223622, and quantile values: 0.25 -0.429972\n0.50 0.339291\n0.75 1.094196\nName: 2056, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24180933272359437, std values: 0.8798621107815471, min values: -2.862971749830789, max values: 3.247416277295021, median values: -0.1783414759967846, and quantile values: 0.25 -0.865526\n0.50 -0.178341\n0.75 0.373949\nName: 2057, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1958215512735021, std values: 0.7631414191659383, min values: -2.110869107491898, max values: 5.0, median values: -0.2590914377054033, and quantile values: 0.25 -0.708394\n0.50 -0.259091\n0.75 0.228073\nName: 2058, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47011077871397905, std values: 0.7660246886239966, min values: -2.179853905073574, max values: 6.0, median values: 0.5551765662273728, and quantile values: 0.25 -0.003167\n0.50 0.555177\n0.75 0.974614\nName: 2059, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06279317531662583, std values: 0.8129937333795909, min values: -2.73836943861057, max values: 3.1227871431249503, median values: 0.0448490322822304, and quantile values: 0.25 -0.484789\n0.50 0.044849\n0.75 0.565681\nName: 2060, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5934405829317361, std values: 1.0471713811836607, min values: -2.9622221028070275, max values: 4.0, median values: -0.6478636073342043, and quantile values: 0.25 -1.276746\n0.50 -0.647864\n0.75 0.111822\nName: 2061, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17140664022828175, std values: 0.8708167153481015, min values: -2.8531572940820533, max values: 4.243835016543704, median values: -0.2942088556484616, and quantile values: 0.25 -0.733380\n0.50 -0.294209\n0.75 0.302614\nName: 2062, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19515022652083364, std values: 0.8399291835938156, min values: -2.7648443048846945, max values: 3.5427287984042666, median values: -0.2162884529706989, and quantile values: 0.25 -0.759447\n0.50 -0.216288\n0.75 0.282608\nName: 2063, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11905193858092342, std values: 0.8664770868724039, min values: -2.1227739687253626, max values: 3.090297571450676, median values: -0.2268605720753919, and quantile values: 0.25 -0.775515\n0.50 -0.226861\n0.75 0.480159\nName: 2064, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5433322316436682, std values: 0.987291693741, min values: -2.9622221028070275, max values: 4.0, median values: 0.5653578807262314, and quantile values: 0.25 -0.022573\n0.50 0.565358\n0.75 1.220552\nName: 2065, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3416912128734847, std values: 1.0271424776023328, min values: -2.673124659932621, max values: 6.0, median values: 0.4348100827844248, and quantile values: 0.25 -0.292884\n0.50 0.434810\n0.75 1.018552\nName: 2066, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19026579994046816, std values: 0.8645473094272348, min values: -2.1296382068987767, max values: 3.2906806286429298, median values: -0.164906217830936, and quantile values: 0.25 -0.821001\n0.50 -0.164906\n0.75 0.357372\nName: 2067, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10647578461838071, std values: 0.735614753708823, min values: -2.0340473177314244, max values: 6.0, median values: 0.1210198061559387, and quantile values: 0.25 -0.373923\n0.50 0.121020\n0.75 0.586619\nName: 2068, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3306340111093506, std values: 0.9083203014814142, min values: -2.087432639025188, max values: 6.0, median values: 0.3882317007370185, and quantile values: 0.25 -0.359968\n0.50 0.388232\n0.75 1.016749\nName: 2069, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18957510395111216, std values: 0.9170167898786906, min values: -2.071631732921682, max values: 6.0, median values: 0.165185387492856, and quantile values: 0.25 -0.444274\n0.50 0.165185\n0.75 0.680719\nName: 2070, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4109018019712087, std values: 0.8939666448503719, min values: -2.605844844843939, max values: 4.0, median values: -0.4155200713610124, and quantile values: 0.25 -0.993849\n0.50 -0.415520\n0.75 0.122109\nName: 2071, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14029558343138127, std values: 0.9163835455930679, min values: -2.212004168819108, max values: 3.3483277116524426, median values: -0.2272485984520696, and quantile values: 0.25 -0.800989\n0.50 -0.227249\n0.75 0.440447\nName: 2072, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19599308615073707, std values: 0.8710710314191777, min values: -2.061387406231346, max values: 5.0, median values: -0.2631133755089264, and quantile values: 0.25 -0.876300\n0.50 -0.263113\n0.75 0.361129\nName: 2073, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7704749759221696, std values: 0.7733409379166296, min values: -2.8843374390620142, max values: 6.0, median values: -0.8392862132755271, and quantile values: 0.25 -1.362086\n0.50 -0.839286\n0.75 -0.328770\nName: 2074, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04410336855048314, std values: 0.7275821172567737, min values: -1.9511119780153323, max values: 5.0, median values: -0.041623918166357, and quantile values: 0.25 -0.559616\n0.50 -0.041624\n0.75 0.442157\nName: 2075, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2532437510233511, std values: 0.8274815359647267, min values: -1.951397111603729, max values: 5.0, median values: 0.2082890308043694, and quantile values: 0.25 -0.358288\n0.50 0.208289\n0.75 0.837821\nName: 2076, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2143459747063863, std values: 0.8328058650732196, min values: -2.8531572940820533, max values: 3.5581019918925243, median values: -0.286295759459919, and quantile values: 0.25 -0.734858\n0.50 -0.286296\n0.75 0.301403\nName: 2077, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05577910542118838, std values: 0.9401857906197806, min values: -2.9622221028070275, max values: 6.0, median values: 0.1389131404368808, and quantile values: 0.25 -0.488860\n0.50 0.138913\n0.75 0.649873\nName: 2078, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32029798637952495, std values: 0.8231076041184503, min values: -2.9898739724800576, max values: 3.3483277116524426, median values: -0.4263920782810909, and quantile values: 0.25 -0.902321\n0.50 -0.426392\n0.75 0.144031\nName: 2079, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07516356447094556, std values: 0.8220575566853154, min values: -2.3956757135390148, max values: 2.740813841730952, median values: -0.0948217263399811, and quantile values: 0.25 -0.610900\n0.50 -0.094822\n0.75 0.422372\nName: 2080, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1947340556167849, std values: 0.859230390311671, min values: -2.605098146828148, max values: 6.0, median values: -0.2390028683875199, and quantile values: 0.25 -0.809375\n0.50 -0.239003\n0.75 0.331865\nName: 2081, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39756829538014843, std values: 1.004774784627297, min values: -2.8282523283494294, max values: 4.026668017837955, median values: -0.4447905762438313, and quantile values: 0.25 -1.056816\n0.50 -0.444791\n0.75 0.256619\nName: 2082, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10723500185321562, std values: 0.8443503655224502, min values: -2.5820330744015787, max values: 4.0, median values: -0.1262997974747876, and quantile values: 0.25 -0.652933\n0.50 -0.126300\n0.75 0.404723\nName: 2083, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5663990239117466, std values: 0.8129013657261638, min values: -2.862971749830789, max values: 3.2328207660681025, median values: -0.6640377288099087, and quantile values: 0.25 -1.120366\n0.50 -0.664038\n0.75 -0.086858\nName: 2084, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18275923594993235, std values: 1.168583553703843, min values: -3.05087304133376, max values: 5.0, median values: 0.3762006350252902, and quantile values: 0.25 -0.530387\n0.50 0.376201\n0.75 0.964217\nName: 2085, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45151909945578017, std values: 0.8608827779748494, min values: -2.1339127560970463, max values: 6.0, median values: 0.5068644926781677, and quantile values: 0.25 -0.129738\n0.50 0.506864\n0.75 1.076604\nName: 2086, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16893199831593306, std values: 0.9102103588676226, min values: -2.93129584560762, max values: 6.0, median values: -0.1789178264018148, and quantile values: 0.25 -0.694490\n0.50 -0.178918\n0.75 0.362617\nName: 2087, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33989733449747894, std values: 0.9500359677446915, min values: -2.727901130262228, max values: 4.0, median values: -0.3833339039778043, and quantile values: 0.25 -0.968378\n0.50 -0.383334\n0.75 0.240712\nName: 2088, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12242832169744515, std values: 1.0350652952400585, min values: -1.977267280562388, max values: 3.528773265847577, median values: -0.2544563197400736, and quantile values: 0.25 -0.985864\n0.50 -0.254456\n0.75 0.624537\nName: 2089, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07317689011660278, std values: 0.7917195870511757, min values: -3.904839268672367, max values: 3.3337116327022187, median values: 0.0502681187546018, and quantile values: 0.25 -0.460212\n0.50 0.050268\n0.75 0.594191\nName: 2090, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17424226257211856, std values: 1.0732379272890695, min values: -2.6800544037614658, max values: 4.0, median values: -0.124663273907242, and quantile values: 0.25 -0.818295\n0.50 -0.124663\n0.75 0.544203\nName: 2091, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10622142638646805, std values: 0.8270316724218787, min values: -2.5859127503381347, max values: 3.0, median values: -0.0803358873559405, and quantile values: 0.25 -0.594202\n0.50 -0.080336\n0.75 0.409062\nName: 2092, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22438597699807686, std values: 0.9516726482501098, min values: -2.657750824678472, max values: 5.0, median values: 0.2020171485652749, and quantile values: 0.25 -0.324831\n0.50 0.202017\n0.75 0.801888\nName: 2093, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.709802682502297, std values: 1.13320621955949, min values: -2.564449278715455, max values: 3.721862465295849, median values: 0.7994342232789226, and quantile values: 0.25 -0.013026\n0.50 0.799434\n0.75 1.512525\nName: 2094, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3315825698055156, std values: 0.859437800539473, min values: -2.223678652475388, max values: 5.0, median values: -0.4424507784134475, and quantile values: 0.25 -0.931249\n0.50 -0.442451\n0.75 0.172644\nName: 2095, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1259532811284968, std values: 0.7522294086082155, min values: -2.142854198138545, max values: 5.0, median values: 0.1715497563985562, and quantile values: 0.25 -0.362037\n0.50 0.171550\n0.75 0.582876\nName: 2096, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5117049301503975, std values: 1.0456178311745024, min values: -2.4564928597243227, max values: 4.0, median values: 0.5391123280913178, and quantile values: 0.25 -0.263199\n0.50 0.539112\n0.75 1.331263\nName: 2097, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1283325575658614, std values: 0.8206376213036863, min values: -2.739804196611005, max values: 6.0, median values: 0.2236240104195432, and quantile values: 0.25 -0.387263\n0.50 0.223624\n0.75 0.679855\nName: 2098, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08898290698597222, std values: 0.8956635347288241, min values: -2.6466193392086392, max values: 4.0, median values: -0.0348993927400174, and quantile values: 0.25 -0.684747\n0.50 -0.034899\n0.75 0.476917\nName: 2099, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1124470730479648, std values: 0.8323733261060849, min values: -1.986690431627572, max values: 4.0, median values: 0.0251024798165496, and quantile values: 0.25 -0.470755\n0.50 0.025102\n0.75 0.663184\nName: 2100, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06337241974341107, std values: 0.8122495068668081, min values: -2.1285756251111843, max values: 3.1175233493066874, median values: -0.1132076087690178, and quantile values: 0.25 -0.608678\n0.50 -0.113208\n0.75 0.379543\nName: 2101, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19828451867382166, std values: 0.8957135199203922, min values: -2.740813841730953, max values: 3.147276669305989, median values: -0.1873664515607863, and quantile values: 0.25 -0.765805\n0.50 -0.187366\n0.75 0.370915\nName: 2102, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24229165983021322, std values: 0.9948034710707788, min values: -2.5743883495350026, max values: 5.0, median values: 0.3388567537658039, and quantile values: 0.25 -0.434326\n0.50 0.338857\n0.75 1.007496\nName: 2103, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22563519039822602, std values: 1.141466874826134, min values: -3.1386665508340674, max values: 3.306454397423372, median values: -0.2958134252719389, and quantile values: 0.25 -1.160033\n0.50 -0.295813\n0.75 0.631763\nName: 2104, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15767573732032988, std values: 0.8338773328559674, min values: -2.037766595010231, max values: 3.260388056018088, median values: 0.1607902870645313, and quantile values: 0.25 -0.399866\n0.50 0.160790\n0.75 0.659697\nName: 2105, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4280447636959841, std values: 1.2615244961198175, min values: -2.684072796644972, max values: 6.0, median values: 0.5130899858560976, and quantile values: 0.25 -0.449806\n0.50 0.513090\n0.75 1.433057\nName: 2106, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21959192604845718, std values: 1.2227527431829766, min values: -2.673549169958716, max values: 6.0, median values: 0.316915915838071, and quantile values: 0.25 -0.624130\n0.50 0.316916\n0.75 1.200602\nName: 2107, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0035190890051474202, std values: 0.8016795694148815, min values: -2.064161388650449, max values: 5.0, median values: -0.0762199360237679, and quantile values: 0.25 -0.536764\n0.50 -0.076220\n0.75 0.483159\nName: 2108, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15382150663567934, std values: 0.9724349700766092, min values: -2.842989614395848, max values: 5.0, median values: -0.2159368890634767, and quantile values: 0.25 -0.782602\n0.50 -0.215937\n0.75 0.454632\nName: 2109, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3336580366352714, std values: 0.9265857658486831, min values: -3.05087304133376, max values: 5.0, median values: -0.2991849323820798, and quantile values: 0.25 -0.952447\n0.50 -0.299185\n0.75 0.322091\nName: 2110, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2744824916342935, std values: 0.9091670240892358, min values: -2.8834699678265463, max values: 5.0, median values: -0.3421836344316689, and quantile values: 0.25 -0.858397\n0.50 -0.342184\n0.75 0.268191\nName: 2111, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2860831103680775, std values: 0.8601400827686206, min values: -2.068409635448683, max values: 3.477886732511886, median values: 0.2789165235584843, and quantile values: 0.25 -0.321872\n0.50 0.278917\n0.75 0.947431\nName: 2112, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20225022337962673, std values: 0.8542781095106385, min values: -2.049546544677791, max values: 3.0, median values: 0.2792113989006975, and quantile values: 0.25 -0.410599\n0.50 0.279211\n0.75 0.835905\nName: 2113, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.042155721656828994, std values: 0.776340038015113, min values: -2.18611961025537, max values: 3.721862465295849, median values: 0.0685715108130099, and quantile values: 0.25 -0.469745\n0.50 0.068572\n0.75 0.519347\nName: 2114, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09009446329940207, std values: 0.9667028405581445, min values: -2.5682675825126706, max values: 5.0, median values: -0.1678660746477975, and quantile values: 0.25 -0.876300\n0.50 -0.167866\n0.75 0.564515\nName: 2115, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2059519075506282, std values: 0.7964302406628507, min values: -2.142854198138545, max values: 5.0, median values: 0.1539169284181129, and quantile values: 0.25 -0.308083\n0.50 0.153917\n0.75 0.671688\nName: 2116, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4621724512533119, std values: 0.9544623940979029, min values: -2.6320986139293034, max values: 3.1227871431249503, median values: 0.5478661927408965, and quantile values: 0.25 0.013853\n0.50 0.547866\n0.75 1.022689\nName: 2117, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3947146071486284, std values: 0.8111572286049389, min values: -2.981718296512785, max values: 5.0, median values: 0.4629202610079277, and quantile values: 0.25 -0.105838\n0.50 0.462920\n0.75 0.904796\nName: 2118, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3257277834245992, std values: 0.8337872254981986, min values: -2.2161166709808824, max values: 6.0, median values: 0.377296401273603, and quantile values: 0.25 -0.247209\n0.50 0.377296\n0.75 0.879063\nName: 2119, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27479763646486555, std values: 0.8707686042252152, min values: -2.673124659932621, max values: 6.0, median values: 0.3818684043350915, and quantile values: 0.25 -0.183444\n0.50 0.381868\n0.75 0.820377\nName: 2120, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37465211156233713, std values: 0.9495170548899041, min values: -2.657750824678472, max values: 5.0, median values: 0.360170083124951, and quantile values: 0.25 -0.236304\n0.50 0.360170\n0.75 1.043480\nName: 2121, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20051621813217135, std values: 0.8793028540475022, min values: -2.2117313283793734, max values: 4.0, median values: 0.2370577780545207, and quantile values: 0.25 -0.454492\n0.50 0.237058\n0.75 0.836332\nName: 2122, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.46801322958235186, std values: 1.1558006220017738, min values: -2.622408470084112, max values: 3.066111439712683, median values: 0.4021075243844435, and quantile values: 0.25 -0.304806\n0.50 0.402108\n0.75 1.423163\nName: 2123, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36224462396492807, std values: 1.1296000502428634, min values: -2.8563982925340614, max values: 5.0, median values: -0.3552655206799431, and quantile values: 0.25 -1.229712\n0.50 -0.355266\n0.75 0.514943\nName: 2124, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23969710904675964, std values: 0.866122699171643, min values: -2.5682675825126706, max values: 5.0, median values: 0.2814483292223308, and quantile values: 0.25 -0.371415\n0.50 0.281448\n0.75 0.892886\nName: 2125, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19480489152230818, std values: 0.852989005443865, min values: -2.2161166709808824, max values: 6.0, median values: 0.1753646047220745, and quantile values: 0.25 -0.369293\n0.50 0.175365\n0.75 0.740193\nName: 2126, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19221555819090724, std values: 0.8400984432559144, min values: -1.981793921626152, max values: 5.0, median values: 0.2480328540331238, and quantile values: 0.25 -0.420867\n0.50 0.248033\n0.75 0.826530\nName: 2127, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2680155388541069, std values: 0.8312173579396427, min values: -2.693453432157769, max values: 3.0, median values: -0.3400670555874371, and quantile values: 0.25 -0.857032\n0.50 -0.340067\n0.75 0.223830\nName: 2128, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3375363995056295, std values: 0.931208781504005, min values: -2.3333312203517527, max values: 3.518664430018096, median values: 0.4469574168752217, and quantile values: 0.25 -0.312919\n0.50 0.446957\n0.75 1.010485\nName: 2129, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13198827166578242, std values: 0.9482630780767612, min values: -2.693453432157769, max values: 3.867701659180865, median values: 0.0427815998781384, and quantile values: 0.25 -0.529625\n0.50 0.042782\n0.75 0.716559\nName: 2130, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1470771328528375, std values: 0.9800943160151276, min values: -3.228456465836797, max values: 3.598076523509904, median values: 0.2740197613950324, and quantile values: 0.25 -0.498551\n0.50 0.274020\n0.75 0.834925\nName: 2131, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13191058283082946, std values: 0.9755255650463385, min values: -2.693453432157769, max values: 3.670892362631932, median values: 0.1672237175164774, and quantile values: 0.25 -0.486863\n0.50 0.167224\n0.75 0.863705\nName: 2132, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35991533128145975, std values: 0.9069262448379163, min values: -2.021565395333485, max values: 2.837386543755614, median values: -0.4959834478331035, and quantile values: 0.25 -1.084763\n0.50 -0.495983\n0.75 0.230815\nName: 2133, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03315696140732025, std values: 0.8361705170949942, min values: -2.605844844843939, max values: 4.0, median values: 0.0218163780983845, and quantile values: 0.25 -0.547824\n0.50 0.021816\n0.75 0.606327\nName: 2134, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3568925732514573, std values: 0.8046195654304628, min values: -2.5689076212724418, max values: 5.0, median values: 0.4163962577545439, and quantile values: 0.25 -0.193033\n0.50 0.416396\n0.75 0.957400\nName: 2135, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.319952494555504, std values: 0.9572315317419556, min values: -2.609385158408876, max values: 4.0, median values: 0.3840810646085891, and quantile values: 0.25 -0.234622\n0.50 0.384081\n0.75 0.966793\nName: 2136, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2053091924047625, std values: 0.9781490483822133, min values: -2.623568901859613, max values: 4.0, median values: -0.1709501659646848, and quantile values: 0.25 -0.784086\n0.50 -0.170950\n0.75 0.392619\nName: 2137, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29482995040127663, std values: 0.9079664285136873, min values: -2.321510952509234, max values: 3.280245386470253, median values: -0.4305762233088869, and quantile values: 0.25 -0.991373\n0.50 -0.430576\n0.75 0.312845\nName: 2138, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3311465589011114, std values: 0.8221854146690599, min values: -2.1269862447630747, max values: 5.0, median values: 0.4109883447448957, and quantile values: 0.25 -0.230463\n0.50 0.410988\n0.75 0.904262\nName: 2139, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2631685201048743, std values: 0.7272984986778825, min values: -1.8868997708273256, max values: 3.9905524164385566, median values: 0.3014320782052155, and quantile values: 0.25 -0.189553\n0.50 0.301432\n0.75 0.692356\nName: 2140, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2964763144886342, std values: 1.1579496484128875, min values: -2.876502173242568, max values: 3.32433157891547, median values: -0.3411326330674609, and quantile values: 0.25 -1.116398\n0.50 -0.341133\n0.75 0.548703\nName: 2141, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6141823267211703, std values: 0.9613660653404359, min values: -2.5953860446419177, max values: 5.0, median values: -0.6097058315935825, and quantile values: 0.25 -1.219110\n0.50 -0.609706\n0.75 -0.007327\nName: 2142, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.452148553398745, std values: 1.090217324907748, min values: -2.558791007225312, max values: 3.176672644814091, median values: -0.4631383308762397, and quantile values: 0.25 -1.157536\n0.50 -0.463138\n0.75 0.305123\nName: 2143, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5444676429434621, std values: 0.7981797367044422, min values: -2.8531572940820533, max values: 3.627976272701048, median values: -0.5981826321437737, and quantile values: 0.25 -1.112177\n0.50 -0.598183\n0.75 -0.066793\nName: 2144, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.648210217425391, std values: 1.0760087025092233, min values: -2.256861992414319, max values: 3.4566816047670264, median values: 0.6782479213632759, and quantile values: 0.25 -0.126883\n0.50 0.678248\n0.75 1.523144\nName: 2145, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4633167183581014, std values: 0.9774922580612762, min values: -2.8282523283494294, max values: 4.0, median values: -0.5956377220217767, and quantile values: 0.25 -1.178035\n0.50 -0.595638\n0.75 0.147288\nName: 2146, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2989573919526251, std values: 0.7824788627048506, min values: -1.9733922499246843, max values: 6.0, median values: 0.2991731493848822, and quantile values: 0.25 -0.214654\n0.50 0.299173\n0.75 0.794780\nName: 2147, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19095220172970076, std values: 0.8826509317230188, min values: -2.855306289371099, max values: 6.0, median values: 0.277595631179255, and quantile values: 0.25 -0.377886\n0.50 0.277596\n0.75 0.842315\nName: 2148, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39879062753282096, std values: 0.8037015356926801, min values: -2.6117120822772133, max values: 5.0, median values: 0.3913785179882914, and quantile values: 0.25 -0.107251\n0.50 0.391379\n0.75 0.889649\nName: 2149, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38152168968956046, std values: 0.8329644903236364, min values: -2.7257183488872623, max values: 5.0, median values: 0.4736278163152435, and quantile values: 0.25 -0.168337\n0.50 0.473628\n0.75 0.981608\nName: 2150, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9605420430815637, std values: 1.393700996834344, min values: -2.727901130262228, max values: 4.0, median values: -1.6942657901348734, and quantile values: 0.25 -2.140406\n0.50 -1.694266\n0.75 0.339644\nName: 2151, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15099972809949425, std values: 0.7399029645118204, min values: -2.6412681606926487, max values: 3.3014869995452325, median values: -0.2220373275981197, and quantile values: 0.25 -0.620406\n0.50 -0.222037\n0.75 0.280047\nName: 2152, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30902445118742716, std values: 1.227749002496582, min values: -2.6820581866633817, max values: 3.496479817235339, median values: -0.3463592157613084, and quantile values: 0.25 -1.244201\n0.50 -0.346359\n0.75 0.544532\nName: 2153, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.048923415179025764, std values: 0.8095588599737811, min values: -1.924469508291728, max values: 3.135426854633533, median values: -0.1546972642841866, and quantile values: 0.25 -0.599993\n0.50 -0.154697\n0.75 0.479140\nName: 2154, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16610874949217666, std values: 0.9039960987033296, min values: -2.638186942019407, max values: 4.0, median values: -0.0690439354874526, and quantile values: 0.25 -0.713701\n0.50 -0.069044\n0.75 0.437657\nName: 2155, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.9499972646479304, std values: 0.8664617398661898, min values: -2.300042081328127, max values: 4.0, median values: 0.9301415517662152, and quantile values: 0.25 0.421350\n0.50 0.930142\n0.75 1.510585\nName: 2156, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.005314058384324659, std values: 0.8830151106487114, min values: -2.138226655046297, max values: 3.036311757241655, median values: -0.0596855701449706, and quantile values: 0.25 -0.701123\n0.50 -0.059686\n0.75 0.671174\nName: 2157, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1219356169126488, std values: 0.852339268908848, min values: -2.439930808627264, max values: 4.0, median values: 0.0478540448818263, and quantile values: 0.25 -0.453811\n0.50 0.047854\n0.75 0.654668\nName: 2158, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.051375502275558003, std values: 0.8230960587066803, min values: -2.142513063479547, max values: 4.0, median values: 0.0226674307676464, and quantile values: 0.25 -0.518753\n0.50 0.022667\n0.75 0.588812\nName: 2159, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17092486886491104, std values: 1.0399230547657157, min values: -2.93129584560762, max values: 6.0, median values: 0.3487442789720982, and quantile values: 0.25 -0.314210\n0.50 0.348744\n0.75 0.826781\nName: 2160, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02147812395447461, std values: 0.8454081126996053, min values: -2.349293916724472, max values: 4.243835016543704, median values: -0.0722985538651835, and quantile values: 0.25 -0.619862\n0.50 -0.072299\n0.75 0.596427\nName: 2161, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.695038054407015, std values: 0.906721635373117, min values: -2.5682675825126706, max values: 5.0, median values: 0.7993479090567633, and quantile values: 0.25 0.093771\n0.50 0.799348\n0.75 1.370384\nName: 2162, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21205984393809246, std values: 1.0256511215773714, min values: -2.887007053971579, max values: 3.3337116327022187, median values: 0.3054817786357426, and quantile values: 0.25 -0.483593\n0.50 0.305482\n0.75 1.007261\nName: 2163, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4690584408951975, std values: 0.8378695683759472, min values: -3.2266531185902174, max values: 3.784832159836258, median values: -0.5186708832773623, and quantile values: 0.25 -1.051091\n0.50 -0.518671\n0.75 0.048654\nName: 2164, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17099250554409806, std values: 0.9111789021348802, min values: -2.318667057943296, max values: 5.0, median values: -0.1770343190004527, and quantile values: 0.25 -0.829645\n0.50 -0.177034\n0.75 0.395902\nName: 2165, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0211357389910268, std values: 0.8434558787121856, min values: -1.9719535545187268, max values: 3.721862465295849, median values: 0.0117466188529564, and quantile values: 0.25 -0.546452\n0.50 0.011747\n0.75 0.551101\nName: 2166, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2798449263609361, std values: 0.7552805198115432, min values: -2.264034258932616, max values: 3.5581019918925243, median values: 0.3215188468915055, and quantile values: 0.25 -0.201005\n0.50 0.321519\n0.75 0.740877\nName: 2167, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04789824879903092, std values: 1.0362605430616363, min values: -2.6466193392086392, max values: 4.0, median values: 0.0693045377928184, and quantile values: 0.25 -0.581458\n0.50 0.069305\n0.75 0.718185\nName: 2168, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35968528756570634, std values: 0.9891551531161008, min values: -3.0223671288921072, max values: 3.258347009006034, median values: -0.5329831206334439, and quantile values: 0.25 -1.154764\n0.50 -0.532983\n0.75 0.293271\nName: 2169, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5188116825191618, std values: 0.9004650388429142, min values: -2.841647375415054, max values: 5.0, median values: 0.522284579949505, and quantile values: 0.25 -0.014348\n0.50 0.522285\n0.75 1.145373\nName: 2170, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05280138164885521, std values: 1.0026649148442335, min values: -2.673549169958716, max values: 6.0, median values: -0.046833947644451, and quantile values: 0.25 -0.595528\n0.50 -0.046834\n0.75 0.571022\nName: 2171, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24849757473242337, std values: 0.8566727513566329, min values: -3.37168864424074, max values: 3.163266084685921, median values: 0.332155983388514, and quantile values: 0.25 -0.225262\n0.50 0.332156\n0.75 0.807180\nName: 2172, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2965515762914787, std values: 0.7663434555677818, min values: -2.049996677874803, max values: 2.891990595045599, median values: -0.3958421367168288, and quantile values: 0.25 -0.827072\n0.50 -0.395842\n0.75 0.154377\nName: 2173, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.280584750045561, std values: 1.1454521324131894, min values: -2.960014365184806, max values: 6.0, median values: 0.2545724393744386, and quantile values: 0.25 -0.386685\n0.50 0.254572\n0.75 1.007191\nName: 2174, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08165251144069376, std values: 0.9026424043690578, min values: -2.124111428422639, max values: 3.162318759909359, median values: 0.1350768825836644, and quantile values: 0.25 -0.544641\n0.50 0.135077\n0.75 0.679915\nName: 2175, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11971677231928014, std values: 0.8200514759776575, min values: -2.201393256296437, max values: 3.260388056018088, median values: 0.1617480411611363, and quantile values: 0.25 -0.462894\n0.50 0.161748\n0.75 0.699984\nName: 2176, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36365843714244145, std values: 0.9156049952268458, min values: -2.6652153608723106, max values: 5.0, median values: -0.4261591366937886, and quantile values: 0.25 -0.959318\n0.50 -0.426159\n0.75 0.233049\nName: 2177, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16510245850062785, std values: 0.8920438891580353, min values: -2.6270253558526173, max values: 4.0, median values: -0.0952015891015245, and quantile values: 0.25 -0.735544\n0.50 -0.095202\n0.75 0.474265\nName: 2178, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3713707399260702, std values: 0.7309012375374784, min values: -2.074944808708433, max values: 5.0, median values: -0.4552782280272439, and quantile values: 0.25 -0.887037\n0.50 -0.455278\n0.75 0.065799\nName: 2179, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25739249995171165, std values: 0.8152830576449663, min values: -2.0740624974743245, max values: 5.0, median values: -0.3811119327563875, and quantile values: 0.25 -0.847562\n0.50 -0.381112\n0.75 0.265917\nName: 2180, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3562856664115247, std values: 1.0593757967558295, min values: -3.5186644300181262, max values: 3.1175233493066874, median values: -0.4396583470493024, and quantile values: 0.25 -1.170191\n0.50 -0.439658\n0.75 0.427609\nName: 2181, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13468366601159415, std values: 0.8712198386836476, min values: -2.510124273981921, max values: 3.05919958255637, median values: 0.1103128454432147, and quantile values: 0.25 -0.345690\n0.50 0.110313\n0.75 0.674663\nName: 2182, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18907112870712442, std values: 0.8046458119741295, min values: -2.688157591415518, max values: 5.0, median values: 0.2571026413600529, and quantile values: 0.25 -0.335338\n0.50 0.257103\n0.75 0.715443\nName: 2183, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4133514450212778, std values: 1.0248856729513933, min values: -2.476285024008804, max values: 3.455472209455805, median values: 0.3498733464171843, and quantile values: 0.25 -0.407754\n0.50 0.349873\n0.75 1.174130\nName: 2184, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2166373624532769, std values: 0.9208901059147675, min values: -2.657750824678472, max values: 5.0, median values: 0.3309339820182737, and quantile values: 0.25 -0.348264\n0.50 0.330934\n0.75 0.877402\nName: 2185, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4354318922325039, std values: 1.0165329902274238, min values: -2.579723791499676, max values: 4.0, median values: 0.5362174773997951, and quantile values: 0.25 -0.293142\n0.50 0.536217\n0.75 1.201962\nName: 2186, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0014320833196818158, std values: 1.2115640862793984, min values: -2.8246479422601736, max values: 6.0, median values: -0.0337328342359481, and quantile values: 0.25 -0.893783\n0.50 -0.033733\n0.75 0.961076\nName: 2187, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.030563809555100272, std values: 0.9389411901253025, min values: -2.7211321814067784, max values: 3.3337116327022187, median values: 0.0063813595155147, and quantile values: 0.25 -0.513310\n0.50 0.006381\n0.75 0.522514\nName: 2188, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.037801468309823186, std values: 0.7625738297671525, min values: -2.502473825041029, max values: 3.3760121766849016, median values: -0.0565875550057978, and quantile values: 0.25 -0.547769\n0.50 -0.056588\n0.75 0.445703\nName: 2189, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16430117928673157, std values: 0.7987383458976778, min values: -2.5046447434119337, max values: 4.0, median values: 0.2045474312798421, and quantile values: 0.25 -0.382000\n0.50 0.204547\n0.75 0.708607\nName: 2190, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3787391589396995, std values: 0.871755091965678, min values: -2.035058091150502, max values: 3.627976272701048, median values: 0.4337508899506786, and quantile values: 0.25 -0.262885\n0.50 0.433751\n0.75 1.063823\nName: 2191, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3396317543529408, std values: 0.851088635834822, min values: -2.732564679617164, max values: 3.0, median values: -0.4484727266634111, and quantile values: 0.25 -1.000491\n0.50 -0.448473\n0.75 0.240542\nName: 2192, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15258599237399434, std values: 0.7643951479730815, min values: -2.525362520654854, max values: 5.0, median values: -0.129492828244375, and quantile values: 0.25 -0.710295\n0.50 -0.129493\n0.75 0.354914\nName: 2193, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2929652926714123, std values: 0.9776048694463821, min values: -2.525881048269423, max values: 3.055874031381882, median values: -0.4193622047587046, and quantile values: 0.25 -1.005065\n0.50 -0.419362\n0.75 0.306150\nName: 2194, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02789271585154876, std values: 1.0036658675975545, min values: -2.115173867494283, max values: 6.0, median values: -0.0728231801023701, and quantile values: 0.25 -0.778494\n0.50 -0.072823\n0.75 0.825368\nName: 2195, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.273498537716814, std values: 0.9346708635006793, min values: -2.837386543755612, max values: 5.0, median values: 0.3176635525419775, and quantile values: 0.25 -0.313848\n0.50 0.317664\n0.75 0.976798\nName: 2196, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11668416107946135, std values: 0.9515589869294344, min values: -2.5689076212724418, max values: 5.0, median values: -0.1766426928002313, and quantile values: 0.25 -0.889281\n0.50 -0.176643\n0.75 0.539470\nName: 2197, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29385866538361954, std values: 0.8406835583295558, min values: -2.3937380876386865, max values: 4.0, median values: -0.3974993516534619, and quantile values: 0.25 -0.906965\n0.50 -0.397499\n0.75 0.251385\nName: 2198, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21178652969798473, std values: 0.9377216462471261, min values: -2.3344113078233786, max values: 3.0, median values: 0.1422784968354933, and quantile values: 0.25 -0.404133\n0.50 0.142278\n0.75 0.769132\nName: 2199, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2166600518830034, std values: 0.868196201688868, min values: -2.3937380876386865, max values: 4.0, median values: 0.2604344464181957, and quantile values: 0.25 -0.349522\n0.50 0.260434\n0.75 0.804237\nName: 2200, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03428238151386301, std values: 0.8642894293713274, min values: -3.1070421433302986, max values: 3.0876051304901218, median values: -0.0834582846153788, and quantile values: 0.25 -0.565035\n0.50 -0.083458\n0.75 0.517745\nName: 2201, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21353471049084458, std values: 0.8139848271451192, min values: -2.442256129120324, max values: 6.0, median values: 0.2330488513296088, and quantile values: 0.25 -0.305729\n0.50 0.233049\n0.75 0.736066\nName: 2202, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.174098014487453, std values: 0.872221359759049, min values: -2.64479559868397, max values: 6.0, median values: 0.2719616525679781, and quantile values: 0.25 -0.320548\n0.50 0.271962\n0.75 0.753563\nName: 2203, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8064190138147546, std values: 1.004840170385196, min values: -2.025405408182953, max values: 5.0, median values: 0.847285762913847, and quantile values: 0.25 0.094739\n0.50 0.847286\n0.75 1.610471\nName: 2204, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5400792290247826, std values: 0.7957563936044642, min values: -1.8944670715138432, max values: 5.0, median values: 0.6046678908735964, and quantile values: 0.25 0.044164\n0.50 0.604668\n0.75 1.073229\nName: 2205, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19241815492234696, std values: 0.9168317261791978, min values: -2.104667097879677, max values: 4.0, median values: 0.096039321301354, and quantile values: 0.25 -0.560722\n0.50 0.096039\n0.75 0.873080\nName: 2206, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.48415230836635115, std values: 1.0032339921187559, min values: -2.497627580948261, max values: 3.4217036547572275, median values: -0.584361440592345, and quantile values: 0.25 -1.244559\n0.50 -0.584361\n0.75 0.194490\nName: 2207, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07463679097863168, std values: 0.9486378763527652, min values: -2.09925610156575, max values: 3.390469008396469, median values: 0.0217454577643669, and quantile values: 0.25 -0.584642\n0.50 0.021745\n0.75 0.650550\nName: 2208, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5619805738161504, std values: 1.01459495204774, min values: -2.2103695900084395, max values: 3.379902545505621, median values: 0.6092747475281631, and quantile values: 0.25 -0.220011\n0.50 0.609275\n0.75 1.381960\nName: 2209, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10097145828604753, std values: 0.8036200233459292, min values: -2.0477799217050063, max values: 5.0, median values: -0.024535076976611, and quantile values: 0.25 -0.474573\n0.50 -0.024535\n0.75 0.642607\nName: 2210, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5536676928725246, std values: 0.8400419522515553, min values: -2.2915911556076085, max values: 3.02009942896863, median values: 0.6307017530376362, and quantile values: 0.25 -0.040237\n0.50 0.630702\n0.75 1.212578\nName: 2211, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20957378385508318, std values: 0.9766286821589517, min values: -2.57895707818966, max values: 6.0, median values: 0.2867374792487499, and quantile values: 0.25 -0.467680\n0.50 0.286737\n0.75 0.870262\nName: 2212, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.060199030277171064, std values: 0.8312067458962807, min values: -2.724017888297919, max values: 3.670892362631932, median values: 0.1049879453885408, and quantile values: 0.25 -0.417711\n0.50 0.104988\n0.75 0.567201\nName: 2213, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43211273826933083, std values: 0.8488267714010848, min values: -2.3368636386863724, max values: 5.0, median values: -0.5502997128842841, and quantile values: 0.25 -1.036502\n0.50 -0.550300\n0.75 0.053629\nName: 2214, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5358333658363232, std values: 1.2141271688267397, min values: -2.128045234184984, max values: 4.278004674434932, median values: 0.3832153511540552, and quantile values: 0.25 -0.444608\n0.50 0.383215\n0.75 1.461732\nName: 2215, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49892939291396415, std values: 0.9159242560464789, min values: -3.0223671288921072, max values: 3.3636961113187773, median values: 0.6304329809681045, and quantile values: 0.25 -0.013605\n0.50 0.630433\n0.75 1.151736\nName: 2216, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38068438543687527, std values: 0.970463524141929, min values: -2.981718296512785, max values: 5.0, median values: -0.3600215392103585, and quantile values: 0.25 -0.950589\n0.50 -0.360022\n0.75 0.202945\nName: 2217, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25812539260946604, std values: 0.7512500816908204, min values: -2.4536054974529624, max values: 6.0, median values: -0.253318665788563, and quantile values: 0.25 -0.775246\n0.50 -0.253319\n0.75 0.185825\nName: 2218, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49929372350847473, std values: 0.8108475084517608, min values: -2.264034258932616, max values: 3.630507857092792, median values: 0.5508444987029302, and quantile values: 0.25 -0.032502\n0.50 0.550844\n0.75 1.043338\nName: 2219, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07119432818325533, std values: 0.7791151465805745, min values: -2.4536054974529624, max values: 6.0, median values: 0.0113920775572633, and quantile values: 0.25 -0.431422\n0.50 0.011392\n0.75 0.547824\nName: 2220, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19583030395777387, std values: 0.7320765979771303, min values: -2.0590878109320845, max values: 3.0, median values: 0.1753406040468127, and quantile values: 0.25 -0.263798\n0.50 0.175341\n0.75 0.665777\nName: 2221, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49044935593277955, std values: 0.8077820517410952, min values: -2.3427838105703884, max values: 3.8226908388056136, median values: -0.5869425913259072, and quantile values: 0.25 -1.071467\n0.50 -0.586943\n0.75 -0.014872\nName: 2222, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12063529224181169, std values: 1.1884286712549907, min values: -2.801183634509044, max values: 5.0, median values: -0.1449775068590766, and quantile values: 0.25 -0.897449\n0.50 -0.144978\n0.75 0.664126\nName: 2223, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07437084719913155, std values: 0.7624053751465238, min values: -2.2012167772695554, max values: 3.258347009006034, median values: -0.0600203895831509, and quantile values: 0.25 -0.597674\n0.50 -0.060020\n0.75 0.405338\nName: 2224, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06777713289659386, std values: 0.8022517230717557, min values: -2.374446373878101, max values: 4.243835016543704, median values: -0.118586244001136, and quantile values: 0.25 -0.684538\n0.50 -0.118586\n0.75 0.470109\nName: 2225, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5173311531360214, std values: 0.9030628319665636, min values: -2.476285024008804, max values: 3.9048392686725855, median values: 0.5557501906375321, and quantile values: 0.25 -0.106558\n0.50 0.555750\n0.75 1.149994\nName: 2226, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.006279842078311502, std values: 1.0582340012211222, min values: -2.7542003929097176, max values: 5.0, median values: 0.0571476259922751, and quantile values: 0.25 -0.602088\n0.50 0.057148\n0.75 0.684538\nName: 2227, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3517389259789907, std values: 1.0003344281283948, min values: -2.605140686075736, max values: 5.0, median values: -0.3911704067882059, and quantile values: 0.25 -1.115253\n0.50 -0.391170\n0.75 0.328114\nName: 2228, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3034745151367739, std values: 0.9744388141318703, min values: -2.7542003929097176, max values: 5.0, median values: 0.2505219775978429, and quantile values: 0.25 -0.302470\n0.50 0.250522\n0.75 0.972668\nName: 2229, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13396675526126348, std values: 0.9571967563226688, min values: -2.769191083399913, max values: 3.0, median values: 0.015560339777938, and quantile values: 0.25 -0.602144\n0.50 0.015560\n0.75 0.498880\nName: 2230, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41674471694202203, std values: 1.068127651695294, min values: -2.437530694723507, max values: 5.0, median values: 0.4318153369144697, and quantile values: 0.25 -0.398216\n0.50 0.431815\n0.75 1.237096\nName: 2231, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3444720179339949, std values: 0.8828606828034891, min values: -2.5953860446419177, max values: 6.0, median values: -0.4402651050287882, and quantile values: 0.25 -1.037235\n0.50 -0.440265\n0.75 0.242239\nName: 2232, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15424207713268356, std values: 0.8980924998739952, min values: -2.124349157675412, max values: 4.0, median values: -0.221843537032197, and quantile values: 0.25 -0.782602\n0.50 -0.221844\n0.75 0.411618\nName: 2233, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4633652362808262, std values: 1.1334812006763342, min values: -2.855306289371099, max values: 6.0, median values: 0.4870759209681226, and quantile values: 0.25 -0.353535\n0.50 0.487076\n0.75 1.432850\nName: 2234, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28309570247313415, std values: 1.0317825870742074, min values: -2.92272757463548, max values: 6.0, median values: -0.1645154018896137, and quantile values: 0.25 -0.826448\n0.50 -0.164515\n0.75 0.362441\nName: 2235, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31507748109348255, std values: 0.9604394954070375, min values: -2.073524544085168, max values: 6.0, median values: -0.4644203115879523, and quantile values: 0.25 -1.039540\n0.50 -0.464420\n0.75 0.289723\nName: 2236, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6183545454920658, std values: 1.0406188314763138, min values: -2.580492024304656, max values: 3.867701659180865, median values: 0.645500292911518, and quantile values: 0.25 -0.052540\n0.50 0.645500\n0.75 1.325871\nName: 2237, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.015232308227494388, std values: 1.168571786016507, min values: -2.982771139679002, max values: 4.0, median values: 0.2912732173800643, and quantile values: 0.25 -0.442269\n0.50 0.291273\n0.75 0.790466\nName: 2238, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37196368064740265, std values: 0.9274538004869015, min values: -2.607565022042742, max values: 4.0, median values: 0.5250623120300306, and quantile values: 0.25 -0.123353\n0.50 0.525062\n0.75 0.969402\nName: 2239, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17015803074052605, std values: 0.8584080504526415, min values: -2.245752867605861, max values: 3.5581019918925243, median values: 0.1669225009897817, and quantile values: 0.25 -0.385150\n0.50 0.166923\n0.75 0.681282\nName: 2240, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.052096834016957694, std values: 1.0882019312623739, min values: -2.4823451998031074, max values: 3.5908526919299577, median values: -0.1029583276733655, and quantile values: 0.25 -0.859833\n0.50 -0.102958\n0.75 0.698331\nName: 2241, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49870157485588157, std values: 0.8157782389686774, min values: -2.3184884946917497, max values: 6.0, median values: 0.4688173801004807, and quantile values: 0.25 -0.015230\n0.50 0.468817\n0.75 0.998974\nName: 2242, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6010260079059442, std values: 0.803112191001256, min values: -2.422675917011138, max values: 5.0, median values: -0.7119832695341857, and quantile values: 0.25 -1.136591\n0.50 -0.711983\n0.75 -0.132790\nName: 2243, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6442394753974751, std values: 1.131108674079863, min values: -2.732564679617164, max values: 3.627976272701048, median values: 0.6289555475688317, and quantile values: 0.25 -0.234792\n0.50 0.628956\n0.75 1.534456\nName: 2244, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4841871418530675, std values: 1.0801275536311117, min values: -2.64479559868397, max values: 6.0, median values: 0.580720783054084, and quantile values: 0.25 -0.237312\n0.50 0.580721\n0.75 1.340336\nName: 2245, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10850376467282948, std values: 0.8672839608693341, min values: -2.9898739724800576, max values: 3.20751086257212, median values: 0.2106536462655915, and quantile values: 0.25 -0.412276\n0.50 0.210654\n0.75 0.735724\nName: 2246, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12507699576438963, std values: 0.9361043180899317, min values: -2.497627580948261, max values: 3.155379154255993, median values: 0.1900016412470822, and quantile values: 0.25 -0.349903\n0.50 0.190002\n0.75 0.704815\nName: 2247, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28489240522619663, std values: 1.0779465297832582, min values: -2.510124273981921, max values: 3.434669824302974, median values: 0.2399186529588563, and quantile values: 0.25 -0.493740\n0.50 0.239919\n0.75 1.029859\nName: 2248, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0027148153008691063, std values: 0.9523474145686528, min values: -3.12109453895821, max values: 3.1175233493066874, median values: 0.0650880842638041, and quantile values: 0.25 -0.482448\n0.50 0.065088\n0.75 0.590287\nName: 2249, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02436670036867985, std values: 1.0546140464691809, min values: -2.605844844843939, max values: 4.0, median values: -0.0310370866517531, and quantile values: 0.25 -0.657918\n0.50 -0.031037\n0.75 0.736446\nName: 2250, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17543465394983906, std values: 0.8128636189411963, min values: -2.196181211030292, max values: 5.0, median values: 0.1618919996083609, and quantile values: 0.25 -0.365875\n0.50 0.161892\n0.75 0.716119\nName: 2251, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0868527816347127, std values: 0.8099048896963851, min values: -2.158148574998896, max values: 5.0, median values: 0.115926396714721, and quantile values: 0.25 -0.456282\n0.50 0.115926\n0.75 0.589270\nName: 2252, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01409015244331782, std values: 0.8094645515979324, min values: -2.2398683045325223, max values: 3.20751086257212, median values: -0.0901220394534675, and quantile values: 0.25 -0.556219\n0.50 -0.090122\n0.75 0.481283\nName: 2253, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1178988326990274, std values: 0.9914925483822454, min values: -2.5695487141177, max values: 4.0, median values: 0.1821279538735849, and quantile values: 0.25 -0.476608\n0.50 0.182128\n0.75 0.773014\nName: 2254, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05064011421965691, std values: 0.9150414462240009, min values: -2.8282523283494294, max values: 4.0, median values: 0.1223293619965582, and quantile values: 0.25 -0.521685\n0.50 0.122329\n0.75 0.646947\nName: 2255, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3572731877463309, std values: 1.136398881476081, min values: -2.8834699678265463, max values: 5.0, median values: -0.3363882634310989, and quantile values: 0.25 -1.016330\n0.50 -0.336388\n0.75 0.421650\nName: 2256, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06516758266602546, std values: 1.080957567362323, min values: -2.673549169958716, max values: 6.0, median values: -0.1024691731357282, and quantile values: 0.25 -0.826082\n0.50 -0.102469\n0.75 0.628477\nName: 2257, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2261220555421008, std values: 1.0426623335203027, min values: -2.73836943861057, max values: 3.415255285860171, median values: -0.2358391856656568, and quantile values: 0.25 -1.067856\n0.50 -0.235839\n0.75 0.565326\nName: 2258, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1724189388041478, std values: 0.8126400342172829, min values: -2.64479559868397, max values: 6.0, median values: 0.2483736635203801, and quantile values: 0.25 -0.366634\n0.50 0.248374\n0.75 0.705451\nName: 2259, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22994807648630455, std values: 0.7949122849121845, min values: -2.15085577507779, max values: 3.20751086257212, median values: -0.3370386014256391, and quantile values: 0.25 -0.823724\n0.50 -0.337039\n0.75 0.303883\nName: 2260, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11405982474308653, std values: 0.837288052759667, min values: -2.6635706018350787, max values: 3.3483277116524426, median values: -0.1692627425570387, and quantile values: 0.25 -0.723327\n0.50 -0.169263\n0.75 0.433237\nName: 2261, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10400883639858559, std values: 0.888011761744905, min values: -2.673549169958716, max values: 6.0, median values: -0.0294713306839213, and quantile values: 0.25 -0.678248\n0.50 -0.029471\n0.75 0.448868\nName: 2262, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5638342757432447, std values: 0.8579796325912317, min values: -2.2915911556076085, max values: 3.9905524164385566, median values: 0.6487639276745292, and quantile values: 0.25 -0.035436\n0.50 0.648764\n0.75 1.208201\nName: 2263, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10333764320583565, std values: 0.8227318322450469, min values: -2.579952672199424, max values: 6.0, median values: -0.1735408402251827, and quantile values: 0.25 -0.636255\n0.50 -0.173541\n0.75 0.370124\nName: 2264, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02792274238338514, std values: 0.7747380031852457, min values: -2.419133598913117, max values: 3.0, median values: -0.0508360721124226, and quantile values: 0.25 -0.515024\n0.50 -0.050836\n0.75 0.535747\nName: 2265, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19809110834128982, std values: 0.8635462564141205, min values: -1.9376188342525784, max values: 5.0, median values: 0.1128195883664658, and quantile values: 0.25 -0.451035\n0.50 0.112820\n0.75 0.781630\nName: 2266, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.47316866827960785, std values: 0.8452520433027461, min values: -2.5859127503381347, max values: 3.0, median values: -0.5057361024137772, and quantile values: 0.25 -1.069220\n0.50 -0.505736\n0.75 0.035838\nName: 2267, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7369640783961064, std values: 0.8336101786894834, min values: -2.8998169811239416, max values: 3.047545592545638, median values: 0.7793147450402684, and quantile values: 0.25 0.177594\n0.50 0.779315\n0.75 1.379848\nName: 2268, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09138884303163056, std values: 0.9296313059910359, min values: -2.7648443048846945, max values: 3.197902420311553, median values: -0.049132260498585, and quantile values: 0.25 -0.602921\n0.50 -0.049132\n0.75 0.752841\nName: 2269, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.582644225738586, std values: 0.9241109903438921, min values: -2.5743883495350026, max values: 5.0, median values: -0.6901305971654907, and quantile values: 0.25 -1.320264\n0.50 -0.690131\n0.75 0.021840\nName: 2270, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03198732393917015, std values: 0.9157519342124789, min values: -2.0664852352279466, max values: 5.0, median values: -0.0200775080335519, and quantile values: 0.25 -0.779539\n0.50 -0.020078\n0.75 0.642404\nName: 2271, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0885225070676647, std values: 0.8767933512976401, min values: -2.7257183488872623, max values: 5.0, median values: -0.0388885596145613, and quantile values: 0.25 -0.620034\n0.50 -0.038889\n0.75 0.438902\nName: 2272, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2368682445403483, std values: 0.7921850051029966, min values: -2.687115288423959, max values: 5.0, median values: -0.3127952138418092, and quantile values: 0.25 -0.786949\n0.50 -0.312795\n0.75 0.260349\nName: 2273, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36959068309367854, std values: 0.9932666104296758, min values: -2.580492024304656, max values: 4.026668017837955, median values: -0.4318599318170369, and quantile values: 0.25 -1.112713\n0.50 -0.431860\n0.75 0.347388\nName: 2274, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5266220447113581, std values: 0.8133057820548859, min values: -2.4902145713898545, max values: 3.098911021393695, median values: -0.5576543063816879, and quantile values: 0.25 -1.067807\n0.50 -0.557654\n0.75 -0.043927\nName: 2275, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43790568608306424, std values: 0.992353952502529, min values: -2.0217442892988813, max values: 5.0, median values: 0.3757741558882813, and quantile values: 0.25 -0.313645\n0.50 0.375774\n0.75 1.234938\nName: 2276, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1369063678203236, std values: 0.7194908784629496, min values: -2.4737574649270093, max values: 4.243835016543704, median values: -0.216626758070826, and quantile values: 0.25 -0.636300\n0.50 -0.216627\n0.75 0.292013\nName: 2277, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14630343164540213, std values: 0.7888391808276574, min values: -2.0681185926384043, max values: 3.241738645014612, median values: -0.2473229267384875, and quantile values: 0.25 -0.693047\n0.50 -0.247323\n0.75 0.333838\nName: 2278, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4057055983549074, std values: 0.8992915570832605, min values: -2.572123985342288, max values: 4.0, median values: -0.5507162991015524, and quantile values: 0.25 -1.037046\n0.50 -0.550716\n0.75 0.109386\nName: 2279, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1816210949219839, std values: 1.0141062306708017, min values: -2.572123985342288, max values: 5.0, median values: 0.1822570312566264, and quantile values: 0.25 -0.577387\n0.50 0.182257\n0.75 0.937708\nName: 2280, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04414337482954745, std values: 0.8311617817227865, min values: -2.2272703849889663, max values: 3.670892362631932, median values: -0.1372736974237685, and quantile values: 0.25 -0.630004\n0.50 -0.137274\n0.75 0.497053\nName: 2281, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18994655646621383, std values: 1.2254361324316536, min values: -2.8164291268114208, max values: 3.438667023696733, median values: 0.1951356553177877, and quantile values: 0.25 -0.563291\n0.50 0.195136\n0.75 1.097649\nName: 2282, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25529083466043556, std values: 1.0261420404891777, min values: -2.949186837165601, max values: 4.0, median values: -0.1802868972086193, and quantile values: 0.25 -0.781854\n0.50 -0.180287\n0.75 0.390368\nName: 2283, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21984919084295462, std values: 0.9079003777957744, min values: -2.215291168881953, max values: 3.9905524164385566, median values: -0.3223153722267934, and quantile values: 0.25 -0.859454\n0.50 -0.322315\n0.75 0.352011\nName: 2284, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1810192984213836, std values: 0.9044077448855735, min values: -2.8451834694312192, max values: 3.224152805256112, median values: 0.2033945855002971, and quantile values: 0.25 -0.434144\n0.50 0.203395\n0.75 0.799283\nName: 2285, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.244233357551781, std values: 0.8251968302720685, min values: -2.0730520506365586, max values: 4.0, median values: 0.18588122771078, and quantile values: 0.25 -0.299876\n0.50 0.185881\n0.75 0.715301\nName: 2286, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13187843725380397, std values: 0.7874785121170044, min values: -2.4705236352348297, max values: 3.397048482165858, median values: 0.1697376847340401, and quantile values: 0.25 -0.433495\n0.50 0.169738\n0.75 0.688210\nName: 2287, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11486381815326997, std values: 0.7685196056572234, min values: -2.536941606705235, max values: 4.0, median values: 0.138162409138361, and quantile values: 0.25 -0.406801\n0.50 0.138162\n0.75 0.595584\nName: 2288, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07592328163540531, std values: 0.7671470468618411, min values: -2.189133700744016, max values: 6.0, median values: -0.1768288374898042, and quantile values: 0.25 -0.594520\n0.50 -0.176829\n0.75 0.401493\nName: 2289, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3535717155467684, std values: 0.968628995650262, min values: -2.055430953058359, max values: 6.0, median values: 0.2257987577386096, and quantile values: 0.25 -0.351156\n0.50 0.225799\n0.75 1.042958\nName: 2290, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3791902142766346, std values: 0.8813413529934245, min values: -2.235246114124743, max values: 5.0, median values: -0.4664747079743466, and quantile values: 0.25 -1.046912\n0.50 -0.466475\n0.75 0.138997\nName: 2291, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5083364296473989, std values: 0.8261683663627092, min values: -1.9526678640320208, max values: 4.0, median values: 0.4178303035049988, and quantile values: 0.25 -0.054860\n0.50 0.417830\n0.75 1.076172\nName: 2292, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4000634018666322, std values: 0.750739361988371, min values: -2.442256129120324, max values: 6.0, median values: 0.377829393594393, and quantile values: 0.25 -0.063620\n0.50 0.377829\n0.75 0.888832\nName: 2293, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3297090365717072, std values: 0.9170673770653253, min values: -2.928515832252388, max values: 5.0, median values: -0.4008806183276245, and quantile values: 0.25 -0.917647\n0.50 -0.400881\n0.75 0.241563\nName: 2294, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.017834314353900475, std values: 1.2632079657502355, min values: -2.8467638118011016, max values: 5.0, median values: 0.1797764662869454, and quantile values: 0.25 -0.789541\n0.50 0.179776\n0.75 1.015301\nName: 2295, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44104231239304503, std values: 0.7809167240400269, min values: -2.264034258932616, max values: 4.243835016543704, median values: 0.4174396685897933, and quantile values: 0.25 -0.071982\n0.50 0.417440\n0.75 0.966642\nName: 2296, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06001492039910342, std values: 0.98826727007768, min values: -3.045947208515832, max values: 6.0, median values: 0.1176710836142938, and quantile values: 0.25 -0.600672\n0.50 0.117671\n0.75 0.765801\nName: 2297, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15749448204226252, std values: 1.0383415697949334, min values: -2.1631393356106687, max values: 3.349054967837474, median values: 0.0576441508070966, and quantile values: 0.25 -0.646316\n0.50 0.057644\n0.75 0.971177\nName: 2298, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4224059445839305, std values: 0.8586949748013172, min values: -2.0918322237798, max values: 3.0, median values: -0.4810705632690844, and quantile values: 0.25 -1.051632\n0.50 -0.481071\n0.75 0.068516\nName: 2299, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06393954990861914, std values: 0.9160069828717309, min values: -2.867984306888309, max values: 3.434669824302974, median values: 0.164459573093422, and quantile values: 0.25 -0.46521\n0.50 0.16446\n0.75 0.63909\nName: 2300, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25119309296021647, std values: 0.7690862625432345, min values: -2.4564928597243227, max values: 4.0, median values: 0.3085786745696305, and quantile values: 0.25 -0.262942\n0.50 0.308579\n0.75 0.766617\nName: 2301, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.030566960379226005, std values: 1.296842538210926, min values: -2.873069976951463, max values: 3.598076523509904, median values: 0.3044171248510506, and quantile values: 0.25 -0.618251\n0.50 0.304417\n0.75 0.923290\nName: 2302, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5244688481266959, std values: 0.8994573867542247, min values: -2.58513369695146, max values: 4.0, median values: -0.6281030276018179, and quantile values: 0.25 -1.244855\n0.50 -0.628103\n0.75 0.075281\nName: 2303, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4602037902523654, std values: 0.7500572093730781, min values: -2.0361839973702067, max values: 3.2696814875916886, median values: 0.4759558012048837, and quantile values: 0.25 0.012724\n0.50 0.475956\n0.75 0.975124\nName: 2304, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21187468417582037, std values: 0.8040992817085462, min values: -2.788272971802125, max values: 3.477886732511886, median values: 0.1605807172947989, and quantile values: 0.25 -0.285332\n0.50 0.160581\n0.75 0.692687\nName: 2305, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8128804034318943, std values: 1.187778358255456, min values: -3.0484008792629496, max values: 5.0, median values: -1.0614486731530768, and quantile values: 0.25 -1.723579\n0.50 -1.061449\n0.75 -0.051996\nName: 2306, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6505821567167289, std values: 0.9616803123521009, min values: -2.486556664247513, max values: 3.0, median values: -0.8247531029923896, and quantile values: 0.25 -1.391500\n0.50 -0.824753\n0.75 -0.083044\nName: 2307, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4039519296042698, std values: 0.9475247911888653, min values: -2.4823451998031074, max values: 3.3337116327022187, median values: -0.4616841604197964, and quantile values: 0.25 -1.160219\n0.50 -0.461684\n0.75 0.279571\nName: 2308, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7303049278789956, std values: 1.1389361935800189, min values: -1.9803888223350048, max values: 4.243835016543704, median values: 0.6148211817580198, and quantile values: 0.25 -0.138157\n0.50 0.614821\n0.75 1.629704\nName: 2309, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.00729610239059626, std values: 1.394819772416966, min values: -2.815821936576896, max values: 3.5908526919299577, median values: 0.0288927588005462, and quantile values: 0.25 -0.922110\n0.50 0.028893\n0.75 0.951754\nName: 2310, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23915735303552346, std values: 1.425252166549139, min values: -2.6820581866633817, max values: 3.236860296211547, median values: 0.5247481288863035, and quantile values: 0.25 -0.628996\n0.50 0.524748\n0.75 1.397730\nName: 2311, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07653241882691335, std values: 0.7479236945334511, min values: -2.5422910691068967, max values: 3.258347009006034, median values: 0.1060099005209056, and quantile values: 0.25 -0.397678\n0.50 0.106010\n0.75 0.526582\nName: 2312, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5376257543861078, std values: 0.8725227277253819, min values: -2.783691185534105, max values: 3.9048392686725855, median values: 0.5043936196113545, and quantile values: 0.25 -0.017378\n0.50 0.504394\n0.75 1.117379\nName: 2313, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03356354939129578, std values: 1.2983711572023073, min values: -2.6800544037614658, max values: 4.0, median values: 0.0853376396098267, and quantile values: 0.25 -0.854952\n0.50 0.085338\n0.75 1.070255\nName: 2314, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20083915921362583, std values: 1.033404834381202, min values: -2.6122411453164007, max values: 4.0, median values: -0.1854889730147196, and quantile values: 0.25 -1.054299\n0.50 -0.185489\n0.75 0.564776\nName: 2315, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11831309680751147, std values: 0.816224173818724, min values: -2.397654839520217, max values: 3.076680642207697, median values: -0.1240678241990118, and quantile values: 0.25 -0.719504\n0.50 -0.124068\n0.75 0.414377\nName: 2316, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4222199652577521, std values: 0.9859008014084834, min values: -2.673549169958716, max values: 6.0, median values: -0.4953272343121462, and quantile values: 0.25 -1.110619\n0.50 -0.495327\n0.75 0.249742\nName: 2317, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.137733739243914, std values: 0.7522254814610363, min values: -2.098757565199457, max values: 4.0, median values: 0.1187803816746325, and quantile values: 0.25 -0.346274\n0.50 0.118780\n0.75 0.570150\nName: 2318, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3038316626029735, std values: 0.95105207809181, min values: -3.0960472541202715, max values: 6.0, median values: 0.4421774538357946, and quantile values: 0.25 -0.193564\n0.50 0.442177\n0.75 0.920595\nName: 2319, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03729258487190881, std values: 1.1576303677634534, min values: -2.93129584560762, max values: 6.0, median values: -0.0573924341857752, and quantile values: 0.25 -0.732011\n0.50 -0.057392\n0.75 0.767735\nName: 2320, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4000156262439672, std values: 0.7266757886245109, min values: -1.873190589715117, max values: 2.8436102010648283, median values: 0.451397725357657, and quantile values: 0.25 -0.066414\n0.50 0.451398\n0.75 0.862406\nName: 2321, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09427335125545445, std values: 0.8006653284287256, min values: -2.7016525309724218, max values: 3.379902545505621, median values: 0.1754366073540154, and quantile values: 0.25 -0.422794\n0.50 0.175437\n0.75 0.657644\nName: 2322, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08321232774105057, std values: 0.8017316853804057, min values: -1.883675419752436, max values: 5.0, median values: 0.094241145861949, and quantile values: 0.25 -0.450669\n0.50 0.094241\n0.75 0.605548\nName: 2323, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14580239863823893, std values: 1.0293549973778822, min values: -2.9472833478224456, max values: 6.0, median values: -0.1471207711904258, and quantile values: 0.25 -0.740877\n0.50 -0.147121\n0.75 0.507381\nName: 2324, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1033582260032863, std values: 0.7964612671572089, min values: -2.7648443048846945, max values: 3.32433157891547, median values: -0.1935631646223469, and quantile values: 0.25 -0.629123\n0.50 -0.193563\n0.75 0.350201\nName: 2325, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24736852192058215, std values: 1.2493330918848489, min values: -2.960014365184806, max values: 6.0, median values: -0.1679291608513628, and quantile values: 0.25 -1.145792\n0.50 -0.167929\n0.75 0.689565\nName: 2326, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15667741514028466, std values: 1.0168968855845977, min values: -2.446475285346346, max values: 3.709787027503053, median values: 0.0293886769582359, and quantile values: 0.25 -0.613159\n0.50 0.029389\n0.75 0.866488\nName: 2327, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3442464327986338, std values: 0.7945533214778331, min values: -2.085005777586541, max values: 3.627976272701048, median values: 0.2955293423991062, and quantile values: 0.25 -0.175636\n0.50 0.295529\n0.75 0.815160\nName: 2328, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.495113370295607, std values: 0.8279086070661068, min values: -2.169018218085154, max values: 6.0, median values: -0.5992004766618527, and quantile values: 0.25 -1.097498\n0.50 -0.599200\n0.75 0.015292\nName: 2329, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.061397038605639706, std values: 0.7676094541318998, min values: -2.4176069991382847, max values: 6.0, median values: -0.1315759490887782, and quantile values: 0.25 -0.591139\n0.50 -0.131576\n0.75 0.401698\nName: 2330, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.081818249294503, std values: 1.2670545694257587, min values: -2.727901130262228, max values: 4.0, median values: -1.6877491624678858, and quantile values: 0.25 -2.140406\n0.50 -1.687749\n0.75 -0.096261\nName: 2331, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1855268393718806, std values: 0.788069611470701, min values: -2.5906203367024587, max values: 3.518664430018096, median values: -0.1638077161668651, and quantile values: 0.25 -0.723577\n0.50 -0.163808\n0.75 0.300607\nName: 2332, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5532122601061676, std values: 0.8865851252281037, min values: -2.684072796644972, max values: 6.0, median values: -0.4991291257900367, and quantile values: 0.25 -1.082148\n0.50 -0.499129\n0.75 -0.040284\nName: 2333, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06070290294989685, std values: 1.0803374221390483, min values: -2.92272757463548, max values: 6.0, median values: 0.1846205105092469, and quantile values: 0.25 -0.574688\n0.50 0.184621\n0.75 0.655902\nName: 2334, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.017786738617935435, std values: 1.0573428552749966, min values: -2.928515832252388, max values: 5.0, median values: 0.006121374885662, and quantile values: 0.25 -0.691695\n0.50 0.006121\n0.75 0.739122\nName: 2335, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15537546747915187, std values: 1.0333060864058454, min values: -3.242093130849769, max values: 2.767597764299235, median values: 0.0402733598966048, and quantile values: 0.25 -0.784729\n0.50 0.040273\n0.75 0.606989\nName: 2336, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6607212107102931, std values: 0.906333630697312, min values: -2.065089589366759, max values: 3.5581019918925243, median values: 0.7761721882096019, and quantile values: 0.25 0.054291\n0.50 0.776172\n0.75 1.297663\nName: 2337, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3707572476935122, std values: 0.8374280805471931, min values: -2.662750916816848, max values: 5.0, median values: 0.4272463955334974, and quantile values: 0.25 -0.148151\n0.50 0.427246\n0.75 0.904049\nName: 2338, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.061511260830183954, std values: 0.9297257118112205, min values: -2.8246479422601736, max values: 5.0, median values: -0.0337420601095971, and quantile values: 0.25 -0.647539\n0.50 -0.033742\n0.75 0.558714\nName: 2339, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.027886536077602716, std values: 0.8341647547284134, min values: -2.62876542141649, max values: 4.026668017837955, median values: -0.1475383685688753, and quantile values: 0.25 -0.604276\n0.50 -0.147538\n0.75 0.466238\nName: 2340, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0021729032167964965, std values: 0.8309721675503347, min values: -2.245752867605861, max values: 3.3636961113187773, median values: -0.082341026963042, and quantile values: 0.25 -0.616429\n0.50 -0.082341\n0.75 0.548099\nName: 2341, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35882173042920584, std values: 0.8774918535987174, min values: -2.072580019544124, max values: 5.0, median values: 0.4406459290298823, and quantile values: 0.25 -0.235721\n0.50 0.440646\n0.75 0.951072\nName: 2342, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13609075954338057, std values: 0.9495279526523246, min values: -2.4902145713898545, max values: 3.0, median values: -0.2742485116584481, and quantile values: 0.25 -0.763739\n0.50 -0.274249\n0.75 0.455042\nName: 2343, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01670877277328975, std values: 0.9919290875969301, min values: -2.643887016977268, max values: 6.0, median values: -0.0538653939306625, and quantile values: 0.25 -0.656631\n0.50 -0.053865\n0.75 0.668612\nName: 2344, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19263566998189452, std values: 1.045404505788178, min values: -2.6320986139293034, max values: 3.132053530264631, median values: -0.0925539046076361, and quantile values: 0.25 -0.877119\n0.50 -0.092554\n0.75 0.492154\nName: 2345, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26049712200248437, std values: 0.8735862430110268, min values: -2.673549169958716, max values: 6.0, median values: -0.2426972379844242, and quantile values: 0.25 -0.870745\n0.50 -0.242697\n0.75 0.318335\nName: 2346, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.028076373590711093, std values: 1.03864495694851, min values: -2.643887016977268, max values: 6.0, median values: 0.0255280372401542, and quantile values: 0.25 -0.593892\n0.50 0.025528\n0.75 0.721253\nName: 2347, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0652313963415498, std values: 1.0701745308218038, min values: -2.745904427753044, max values: 5.0, median values: -0.0418689369556841, and quantile values: 0.25 -0.983753\n0.50 -0.041869\n0.75 0.715407\nName: 2348, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23112622316002662, std values: 0.7332929485900768, min values: -2.087432639025188, max values: 3.258347009006034, median values: 0.275576290712441, and quantile values: 0.25 -0.206488\n0.50 0.275576\n0.75 0.679997\nName: 2349, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34774470502255544, std values: 0.9809516275962371, min values: -2.620939317041317, max values: 3.784832159836258, median values: 0.4065702217532338, and quantile values: 0.25 -0.325935\n0.50 0.406570\n0.75 0.989174\nName: 2350, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4039978376010369, std values: 0.8536189187395572, min values: -2.521882829270847, max values: 4.0, median values: -0.4155200713610124, and quantile values: 0.25 -1.016964\n0.50 -0.415520\n0.75 0.129071\nName: 2351, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20306519495299508, std values: 0.7054658141207066, min values: -2.9278427058120164, max values: 6.0, median values: 0.1892445907926746, and quantile values: 0.25 -0.238728\n0.50 0.189245\n0.75 0.643697\nName: 2352, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32978621801972036, std values: 0.8382460384967937, min values: -2.579723791499676, max values: 4.0, median values: -0.4517331728718267, and quantile values: 0.25 -0.917215\n0.50 -0.451733\n0.75 0.159857\nName: 2353, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39490898836285576, std values: 0.8045269113892562, min values: -2.2570374829903868, max values: 3.3760121766849016, median values: 0.368403529533106, and quantile values: 0.25 -0.102992\n0.50 0.368404\n0.75 0.886127\nName: 2354, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03422976917838143, std values: 0.850176576662429, min values: -2.09925610156575, max values: 3.415255285860171, median values: 0.0560904420938693, and quantile values: 0.25 -0.536860\n0.50 0.056090\n0.75 0.550242\nName: 2355, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.162596752684306, std values: 0.8716670533910998, min values: -3.045947208515832, max values: 6.0, median values: -0.2596536272052595, and quantile values: 0.25 -0.769736\n0.50 -0.259654\n0.75 0.362945\nName: 2356, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19214456916158726, std values: 0.6858638490693992, min values: -2.076097537486946, max values: 3.247416277295021, median values: -0.1940688994485448, and quantile values: 0.25 -0.669657\n0.50 -0.194069\n0.75 0.231883\nName: 2357, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02445473750085802, std values: 0.7993174941219219, min values: -1.9719535545187268, max values: 4.243835016543704, median values: -0.0148442348785521, and quantile values: 0.25 -0.501551\n0.50 -0.014844\n0.75 0.511991\nName: 2358, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3328062541480114, std values: 0.8667041388969511, min values: -2.142854198138545, max values: 5.0, median values: 0.4040044694008223, and quantile values: 0.25 -0.276995\n0.50 0.404004\n0.75 0.940942\nName: 2359, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19018879089375693, std values: 0.8337641135662064, min values: -2.240740315114864, max values: 4.0, median values: -0.2668716669050299, and quantile values: 0.25 -0.737306\n0.50 -0.266872\n0.75 0.303105\nName: 2360, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10451463169802873, std values: 0.8574581018004571, min values: -2.6201435104586555, max values: 6.0, median values: 0.1508143104432541, and quantile values: 0.25 -0.523462\n0.50 0.150814\n0.75 0.727231\nName: 2361, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7707840699713538, std values: 0.8592006497204184, min values: -2.4960309093026924, max values: 3.709787027503053, median values: 0.8025085506857009, and quantile values: 0.25 0.169655\n0.50 0.802509\n0.75 1.424596\nName: 2362, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08534028043120381, std values: 1.0267652527390365, min values: -3.00972886875607, max values: 3.0, median values: 0.2240758185827369, and quantile values: 0.25 -0.436587\n0.50 0.224076\n0.75 0.739267\nName: 2363, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1904948702998069, std values: 0.69858424472631, min values: -2.087432639025188, max values: 4.0, median values: 0.2252620329207149, and quantile values: 0.25 -0.219519\n0.50 0.225262\n0.75 0.632921\nName: 2364, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1355656659632991, std values: 0.9031813027394832, min values: -2.043287858674072, max values: 5.0, median values: 0.1153077787460498, and quantile values: 0.25 -0.558328\n0.50 0.115308\n0.75 0.818919\nName: 2365, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.022330357524065196, std values: 1.0588107342387687, min values: -2.724017888297919, max values: 3.2328207660681025, median values: -0.0756123227312306, and quantile values: 0.25 -0.755920\n0.50 -0.075612\n0.75 0.716100\nName: 2366, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3044379662682707, std values: 0.8996186154241212, min values: -2.196708653609315, max values: 6.0, median values: -0.3615322044831874, and quantile values: 0.25 -1.007923\n0.50 -0.361532\n0.75 0.260548\nName: 2367, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05109353598773477, std values: 0.8530619986185161, min values: -2.5631847770497496, max values: 4.0, median values: -0.0309897949048916, and quantile values: 0.25 -0.581896\n0.50 -0.030990\n0.75 0.628650\nName: 2368, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21699533773463894, std values: 0.8469954378156103, min values: -2.3001257245142988, max values: 6.0, median values: -0.2994203207942595, and quantile values: 0.25 -0.796910\n0.50 -0.299420\n0.75 0.332564\nName: 2369, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.439543600900544, std values: 1.5620258141802223, min values: -3.045947208515832, max values: 6.0, median values: -2.027766866851194, and quantile values: 0.25 -2.362342\n0.50 -2.027767\n0.75 -1.614178\nName: 2370, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3554538793139532, std values: 0.8720627365439905, min values: -2.0952823332519324, max values: 4.0, median values: -0.4626572017037046, and quantile values: 0.25 -1.074455\n0.50 -0.462657\n0.75 0.249652\nName: 2371, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10038608381343055, std values: 0.794259707970344, min values: -2.0972650777209885, max values: 6.0, median values: 0.1182585113913374, and quantile values: 0.25 -0.436067\n0.50 0.118259\n0.75 0.650544\nName: 2372, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3538941900651004, std values: 0.9187108478224331, min values: -2.09925610156575, max values: 4.243835016543704, median values: -0.4944245603006994, and quantile values: 0.25 -1.033837\n0.50 -0.494425\n0.75 0.197827\nName: 2373, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4611472153207548, std values: 0.9460259344259996, min values: -2.244538850254316, max values: 3.082096909284949, median values: 0.4957963613012918, and quantile values: 0.25 -0.224654\n0.50 0.495796\n0.75 1.199358\nName: 2374, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17739133118301514, std values: 0.8010488311291367, min values: -2.1453227721253567, max values: 3.0315977762793005, median values: -0.2884140010382001, and quantile values: 0.25 -0.763996\n0.50 -0.288414\n0.75 0.330417\nName: 2375, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35408297680245315, std values: 0.9962203665558075, min values: -2.556631690482005, max values: 3.627976272701048, median values: -0.45209917359806, and quantile values: 0.25 -1.179711\n0.50 -0.452099\n0.75 0.327736\nName: 2376, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19246377143526494, std values: 0.7813427789767895, min values: -2.446475285346346, max values: 3.1166497049712243, median values: -0.2011459069479514, and quantile values: 0.25 -0.708701\n0.50 -0.201146\n0.75 0.288862\nName: 2377, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47066121986033, std values: 0.8420317569275321, min values: -1.95668486106376, max values: 3.784832159836258, median values: 0.5338176152643828, and quantile values: 0.25 -0.103277\n0.50 0.533818\n0.75 1.076224\nName: 2378, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38986764756317904, std values: 1.0463123607731122, min values: -2.9278427058120164, max values: 6.0, median values: 0.4880873928180527, and quantile values: 0.25 -0.363785\n0.50 0.488087\n0.75 1.124012\nName: 2379, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40934375277956286, std values: 1.1687850974583294, min values: -2.815821936576896, max values: 3.2936960268109283, median values: 0.6442330809160951, and quantile values: 0.25 -0.230937\n0.50 0.644233\n0.75 1.243624\nName: 2380, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10610950526467242, std values: 0.8783415155190931, min values: -2.9029979285382743, max values: 6.0, median values: -0.1306593061088262, and quantile values: 0.25 -0.640408\n0.50 -0.130659\n0.75 0.383126\nName: 2381, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16121159883482017, std values: 0.9542949400985582, min values: -2.102258330765142, max values: 3.528773265847577, median values: -0.1816239793333739, and quantile values: 0.25 -0.870693\n0.50 -0.181624\n0.75 0.510014\nName: 2382, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5573982344674185, std values: 0.8825684737369758, min values: -2.363112660485232, max values: 4.0, median values: -0.7054122473360306, and quantile values: 0.25 -1.230758\n0.50 -0.705412\n0.75 0.003277\nName: 2383, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6402018384421096, std values: 0.812566990404638, min values: -2.8350118695332047, max values: 5.0, median values: -0.725725556528883, and quantile values: 0.25 -1.194903\n0.50 -0.725726\n0.75 -0.150072\nName: 2384, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3040773436185868, std values: 0.9839623159588334, min values: -2.6404955031131814, max values: 5.0, median values: -0.3781340088228762, and quantile values: 0.25 -0.931928\n0.50 -0.378134\n0.75 0.348393\nName: 2385, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.214790581285714, std values: 0.9728831166875526, min values: -2.8282523283494294, max values: 3.32433157891547, median values: -0.1101870384095341, and quantile values: 0.25 -0.850295\n0.50 -0.110187\n0.75 0.413237\nName: 2386, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.061621087944783805, std values: 0.8992316109163795, min values: -2.4536054974529624, max values: 6.0, median values: 0.1349101342580218, and quantile values: 0.25 -0.559712\n0.50 0.134910\n0.75 0.661918\nName: 2387, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17401853331564035, std values: 0.7771915037369921, min values: -1.9481643773937056, max values: 2.9996722348762725, median values: 0.2085882879363637, and quantile values: 0.25 -0.375964\n0.50 0.208588\n0.75 0.710685\nName: 2388, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4560599707897776, std values: 1.080141970979666, min values: -2.933035609461076, max values: 5.0, median values: -0.4537058666152677, and quantile values: 0.25 -1.191872\n0.50 -0.453706\n0.75 0.269362\nName: 2389, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16526309746700799, std values: 0.8864154257354067, min values: -2.982771139679002, max values: 4.0, median values: -0.2082890308043694, and quantile values: 0.25 -0.721861\n0.50 -0.208289\n0.75 0.389685\nName: 2390, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6195881347406147, std values: 0.8069257070160575, min values: -2.5695487141177, max values: 4.0, median values: -0.6235896735565667, and quantile values: 0.25 -1.181238\n0.50 -0.623590\n0.75 -0.126411\nName: 2391, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04336438862345592, std values: 0.8897105549920673, min values: -2.6466193392086392, max values: 4.0, median values: 0.0958456568206638, and quantile values: 0.25 -0.530006\n0.50 0.095846\n0.75 0.694550\nName: 2392, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1463579285320865, std values: 0.8065391136274105, min values: -2.7314147016889114, max values: 3.336438412828754, median values: 0.1683967697324228, and quantile values: 0.25 -0.397551\n0.50 0.168397\n0.75 0.675603\nName: 2393, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25356247789845066, std values: 0.8686221236655489, min values: -2.0972650777209885, max values: 5.0, median values: 0.2973134647263351, and quantile values: 0.25 -0.383008\n0.50 0.297313\n0.75 0.917467\nName: 2394, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12912639127688216, std values: 1.2411088161753494, min values: -2.6404955031131814, max values: 5.0, median values: 0.1371615551132086, and quantile values: 0.25 -0.758659\n0.50 0.137162\n0.75 1.046809\nName: 2395, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1108039294385204, std values: 1.0794906375538456, min values: -2.92272757463548, max values: 6.0, median values: 0.2568749302620845, and quantile values: 0.25 -0.420446\n0.50 0.256875\n0.75 0.744053\nName: 2396, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38601453229253074, std values: 0.8709652809892346, min values: -2.629638447792358, max values: 3.784832159836258, median values: -0.4777811531138055, and quantile values: 0.25 -1.085891\n0.50 -0.477781\n0.75 0.191151\nName: 2397, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39778008546059385, std values: 0.8270050577468289, min values: -2.5399045531878324, max values: 4.0, median values: -0.4345074065327859, and quantile values: 0.25 -0.937214\n0.50 -0.434507\n0.75 0.088213\nName: 2398, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18065431294758308, std values: 0.7915289974463933, min values: -2.2022840419805414, max values: 5.0, median values: -0.2803419795643956, and quantile values: 0.25 -0.753713\n0.50 -0.280342\n0.75 0.316250\nName: 2399, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03207542174129833, std values: 0.7410083719441032, min values: -2.134449825097116, max values: 5.0, median values: -0.0427441965881913, and quantile values: 0.25 -0.505736\n0.50 -0.042744\n0.75 0.400980\nName: 2400, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5508230849507479, std values: 1.184197651674687, min values: -2.4823451998031074, max values: 3.455472209455805, median values: 0.492832016129146, and quantile values: 0.25 -0.200921\n0.50 0.492832\n0.75 1.365144\nName: 2401, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5552826433519245, std values: 0.8906019975771142, min values: -1.875929806060801, max values: 4.243835016543704, median values: 0.6125466700455973, and quantile values: 0.25 -0.021785\n0.50 0.612547\n0.75 1.161703\nName: 2402, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2007013356940886, std values: 0.9604637911683535, min values: -2.605844844843939, max values: 4.0, median values: -0.2370091623162335, and quantile values: 0.25 -0.889977\n0.50 -0.237009\n0.75 0.459707\nName: 2403, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10888097627826167, std values: 0.8595669119967575, min values: -2.64479559868397, max values: 6.0, median values: -0.0824833163686173, and quantile values: 0.25 -0.648203\n0.50 -0.082483\n0.75 0.419123\nName: 2404, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5119462203845447, std values: 0.7497845704218208, min values: -1.86796718750532, max values: 3.0089865423056903, median values: 0.5307941778368936, and quantile values: 0.25 0.076330\n0.50 0.530794\n0.75 0.962902\nName: 2405, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27570462457731065, std values: 0.8175886787085125, min values: -2.044138536277291, max values: 4.0, median values: -0.3655216630008416, and quantile values: 0.25 -0.916136\n0.50 -0.365522\n0.75 0.269134\nName: 2406, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.307964707608682, std values: 0.8078341671941042, min values: -2.0897492665563764, max values: 5.0, median values: -0.4317561561882743, and quantile values: 0.25 -0.872798\n0.50 -0.431756\n0.75 0.195418\nName: 2407, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5545427475895619, std values: 1.1480553499252242, min values: -2.623568901859613, max values: 4.0, median values: 0.5000234146402942, and quantile values: 0.25 -0.195924\n0.50 0.500023\n0.75 1.353771\nName: 2408, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19233426691668506, std values: 1.0368601512291629, min values: -2.673549169958716, max values: 6.0, median values: 0.247152562747567, and quantile values: 0.25 -0.544998\n0.50 0.247153\n0.75 0.939566\nName: 2409, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0279248355112755, std values: 0.8267759267151207, min values: -2.154207450651022, max values: 5.0, median values: -0.084997373907387, and quantile values: 0.25 -0.595810\n0.50 -0.084997\n0.75 0.484709\nName: 2410, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12792444106070025, std values: 1.2936776746647929, min values: -2.960014365184806, max values: 6.0, median values: 0.1258278942419454, and quantile values: 0.25 -1.137344\n0.50 0.125828\n0.75 0.881795\nName: 2411, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2550358278224325, std values: 0.9626996937981713, min values: -2.486556664247513, max values: 3.155170554159904, median values: 0.3016951584040237, and quantile values: 0.25 -0.327348\n0.50 0.301695\n0.75 0.892230\nName: 2412, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07397588349907058, std values: 0.8763965564096723, min values: -2.618746139350171, max values: 3.3483277116524426, median values: 0.0897186252308444, and quantile values: 0.25 -0.580413\n0.50 0.089719\n0.75 0.748456\nName: 2413, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11161911601793756, std values: 0.791015983034138, min values: -2.688157591415518, max values: 5.0, median values: 0.14257217835069, and quantile values: 0.25 -0.381201\n0.50 0.142572\n0.75 0.617485\nName: 2414, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2856860821030565, std values: 1.1113832973776783, min values: -2.842989614395848, max values: 5.0, median values: 0.4486855131510141, and quantile values: 0.25 -0.442238\n0.50 0.448686\n0.75 1.133566\nName: 2415, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2769789961949366, std values: 1.105986494155867, min values: -2.1558924048879446, max values: 4.026668017837955, median values: 0.1511586318118283, and quantile values: 0.25 -0.575631\n0.50 0.151159\n0.75 1.051995\nName: 2416, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02895545103145058, std values: 0.9453451479260785, min values: -2.39180940730784, max values: 4.0, median values: 0.0601861302052746, and quantile values: 0.25 -0.699561\n0.50 0.060186\n0.75 0.774139\nName: 2417, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14737287877306876, std values: 1.0477886574546056, min values: -2.6660404517971856, max values: 4.0, median values: 0.2828084648303826, and quantile values: 0.25 -0.497160\n0.50 0.282808\n0.75 0.946655\nName: 2418, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2495134336916408, std values: 0.9724813448301377, min values: -2.8164291268114208, max values: 3.397048482165858, median values: -0.2427497213103551, and quantile values: 0.25 -0.926035\n0.50 -0.242750\n0.75 0.366229\nName: 2419, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28794320665601997, std values: 0.8538520467991496, min values: -3.0223671288921072, max values: 3.2071942083719924, median values: 0.2781303077887149, and quantile values: 0.25 -0.278278\n0.50 0.278130\n0.75 0.801236\nName: 2420, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2229312995658873, std values: 1.1261183838282813, min values: -2.8531572940820533, max values: 3.5581019918925243, median values: 0.2515951909749472, and quantile values: 0.25 -0.583605\n0.50 0.251595\n0.75 1.027205\nName: 2421, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7120680649641689, std values: 0.9921782100702551, min values: -2.1730882470106176, max values: 3.9905524164385566, median values: 0.8799836507274273, and quantile values: 0.25 0.003250\n0.50 0.879984\n0.75 1.471246\nName: 2422, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5972711849788318, std values: 0.9654784003743857, min values: -2.572123985342288, max values: 5.0, median values: -0.7081698040327846, and quantile values: 0.25 -1.430701\n0.50 -0.708170\n0.75 0.082657\nName: 2423, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23468609022855838, std values: 1.0221952981891032, min values: -2.5445249319512966, max values: 3.709787027503053, median values: -0.3033923707075917, and quantile values: 0.25 -0.886722\n0.50 -0.303392\n0.75 0.389889\nName: 2424, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4323309366050939, std values: 0.887793249218785, min values: -2.4502625580775623, max values: 5.0, median values: -0.5902026714423383, and quantile values: 0.25 -1.119754\n0.50 -0.590203\n0.75 0.146465\nName: 2425, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.061882056656824815, std values: 0.7335737300258884, min values: -2.8889090019311845, max values: 5.0, median values: -0.1361763007360487, and quantile values: 0.25 -0.567330\n0.50 -0.136176\n0.75 0.410898\nName: 2426, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2541993830692665, std values: 0.9592121380750841, min values: -2.222049826555007, max values: 3.784832159836258, median values: -0.4063135263214776, and quantile values: 0.25 -0.986517\n0.50 -0.406314\n0.75 0.368350\nName: 2427, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12992208440931968, std values: 0.7877165244424877, min values: -2.601639132009086, max values: 6.0, median values: 0.1526552382726074, and quantile values: 0.25 -0.398011\n0.50 0.152655\n0.75 0.651041\nName: 2428, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08777817945153246, std values: 1.0930097980954838, min values: -2.919359491767569, max values: 5.0, median values: 0.1376077204750209, and quantile values: 0.25 -0.634594\n0.50 0.137608\n0.75 0.633224\nName: 2429, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2660509095936931, std values: 0.8490748712137125, min values: -2.57895707818966, max values: 6.0, median values: 0.3199512830387305, and quantile values: 0.25 -0.196092\n0.50 0.319951\n0.75 0.791047\nName: 2430, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05728409641174643, std values: 0.797784880767415, min values: -2.116060046971362, max values: 6.0, median values: -0.0249532069608104, and quantile values: 0.25 -0.513055\n0.50 -0.024953\n0.75 0.566780\nName: 2431, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5039524528963235, std values: 1.0426412769512106, min values: -2.7939007019027, max values: 4.278004674434932, median values: 0.6775936393620026, and quantile values: 0.25 -0.042892\n0.50 0.677594\n0.75 1.225664\nName: 2432, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33427872574940515, std values: 0.9699190407357247, min values: -2.8563982925340614, max values: 5.0, median values: -0.2728768808607341, and quantile values: 0.25 -0.912223\n0.50 -0.272877\n0.75 0.278139\nName: 2433, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08122994706537179, std values: 0.9004955063639316, min values: -2.119174832037031, max values: 3.721862465295849, median values: 0.1227341761437278, and quantile values: 0.25 -0.547714\n0.50 0.122734\n0.75 0.671692\nName: 2434, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33118001993190427, std values: 0.9060944688935993, min values: -2.841647375415054, max values: 5.0, median values: 0.4396564679518448, and quantile values: 0.25 -0.212358\n0.50 0.439656\n0.75 0.955660\nName: 2435, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08897331120565002, std values: 0.8337668124409682, min values: -2.387978527395912, max values: 6.0, median values: 0.1188358504032988, and quantile values: 0.25 -0.497757\n0.50 0.118836\n0.75 0.672210\nName: 2436, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01906703150698622, std values: 0.9306625068277525, min values: -2.8998169811239416, max values: 3.0533207538164056, median values: -0.0573958866309104, and quantile values: 0.25 -0.720322\n0.50 -0.057396\n0.75 0.633900\nName: 2437, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0839107877259397, std values: 1.0602496793312652, min values: -2.6320986139293034, max values: 3.247416277295021, median values: 0.2607478412058974, and quantile values: 0.25 -0.475806\n0.50 0.260748\n0.75 0.831513\nName: 2438, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09475293001814476, std values: 0.9361786020720657, min values: -2.4564928597243227, max values: 4.0, median values: 0.0934685760567217, and quantile values: 0.25 -0.635172\n0.50 0.093469\n0.75 0.843703\nName: 2439, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08729320138706041, std values: 0.9527974517014639, min values: -2.2045104753181644, max values: 6.0, median values: -0.1012696481344162, and quantile values: 0.25 -0.795191\n0.50 -0.101270\n0.75 0.568927\nName: 2440, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24620564261482372, std values: 0.7857948759263246, min values: -2.092815429397888, max values: 2.921039391187937, median values: -0.3290692084498282, and quantile values: 0.25 -0.847917\n0.50 -0.329069\n0.75 0.259458\nName: 2441, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.054009464873841166, std values: 0.733870079420787, min values: -2.1927770615704483, max values: 3.0, median values: 0.0752809090789695, and quantile values: 0.25 -0.433443\n0.50 0.075281\n0.75 0.509199\nName: 2442, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27110232761683667, std values: 0.8925807206038284, min values: -2.0397470924909658, max values: 6.0, median values: -0.3491707720664518, and quantile values: 0.25 -0.971872\n0.50 -0.349171\n0.75 0.335338\nName: 2443, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04315871773642903, std values: 0.8467340248077679, min values: -2.1317706126061804, max values: 3.05919958255637, median values: -0.1412770670946394, and quantile values: 0.25 -0.705483\n0.50 -0.141277\n0.75 0.548483\nName: 2444, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20510505869417936, std values: 0.8761314821775075, min values: -2.0563425919957576, max values: 4.0, median values: -0.1900725295333548, and quantile values: 0.25 -0.859892\n0.50 -0.190073\n0.75 0.381335\nName: 2445, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3490384178151327, std values: 0.8709898228145377, min values: -2.4536054974529624, max values: 6.0, median values: 0.3823263764982417, and quantile values: 0.25 -0.225545\n0.50 0.382326\n0.75 0.919052\nName: 2446, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08093240794853346, std values: 0.8723797998335776, min values: -2.055430953058359, max values: 3.0, median values: 0.0716501724921313, and quantile values: 0.25 -0.612760\n0.50 0.071650\n0.75 0.702625\nName: 2447, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20097805081510406, std values: 0.7887376515811426, min values: -2.0567990530927305, max values: 5.0, median values: -0.2204061924462337, and quantile values: 0.25 -0.768096\n0.50 -0.220406\n0.75 0.308529\nName: 2448, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18155303722475424, std values: 0.8542710643279618, min values: -2.3344113078233786, max values: 3.306454397423372, median values: -0.3067968285072841, and quantile values: 0.25 -0.831113\n0.50 -0.306797\n0.75 0.339878\nName: 2449, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3008862239804679, std values: 0.8423470411590376, min values: -2.267175988438518, max values: 5.0, median values: 0.3999559870752114, and quantile values: 0.25 -0.274020\n0.50 0.399956\n0.75 0.907630\nName: 2450, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12861169814815465, std values: 0.8902766841507403, min values: -2.5213149333948146, max values: 3.1888787873512885, median values: -0.2801207508471227, and quantile values: 0.25 -0.738174\n0.50 -0.280121\n0.75 0.378489\nName: 2451, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5482812887460271, std values: 0.9009858152610813, min values: -2.1798712735263623, max values: 3.5581019918925243, median values: 0.61858490532238, and quantile values: 0.25 -0.087844\n0.50 0.618585\n0.75 1.254037\nName: 2452, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05078164908838266, std values: 0.8192928782189255, min values: -2.10781213968935, max values: 3.627976272701048, median values: -0.0033873419840223, and quantile values: 0.25 -0.505951\n0.50 -0.003387\n0.75 0.562991\nName: 2453, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08271614250885174, std values: 0.7997342758443998, min values: -2.0549757734273486, max values: 5.0, median values: -0.00614130541581, and quantile values: 0.25 -0.479691\n0.50 -0.006141\n0.75 0.607167\nName: 2454, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0021974655278403413, std values: 0.8247499251881129, min values: -2.783691185534105, max values: 3.630507857092792, median values: -0.0800172005445224, and quantile values: 0.25 -0.522884\n0.50 -0.080017\n0.75 0.448342\nName: 2455, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21725307913000613, std values: 0.785118489812604, min values: -2.783691185534105, max values: 2.4105024411864124, median values: -0.1909270730856994, and quantile values: 0.25 -0.797389\n0.50 -0.190927\n0.75 0.285188\nName: 2456, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08869361816504583, std values: 0.8704722226848556, min values: -2.077731782356476, max values: 5.0, median values: -0.1559236968943631, and quantile values: 0.25 -0.738423\n0.50 -0.155924\n0.75 0.526108\nName: 2457, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2992523865337533, std values: 0.9158920392952524, min values: -3.0687217584296813, max values: 3.3636961113187773, median values: -0.3469866724221858, and quantile values: 0.25 -0.860312\n0.50 -0.346987\n0.75 0.209471\nName: 2458, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6995252953600795, std values: 1.1341188389720638, min values: -2.5122218748354936, max values: 4.278004674434932, median values: 0.6979091456464043, and quantile values: 0.25 -0.079851\n0.50 0.697909\n0.75 1.371473\nName: 2459, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27724263432740365, std values: 1.2728965254930014, min values: -2.9029979285382743, max values: 3.32433157891547, median values: -0.2875123310556268, and quantile values: 0.25 -1.154067\n0.50 -0.287512\n0.75 0.607088\nName: 2460, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0629436557142567, std values: 0.9521794230550819, min values: -2.620939317041317, max values: 4.0, median values: -0.0390055557605113, and quantile values: 0.25 -0.831313\n0.50 -0.039006\n0.75 0.646370\nName: 2461, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3380429772143014, std values: 0.8816648559913737, min values: -1.853350587287872, max values: 3.455472209455805, median values: 0.2926537040520148, and quantile values: 0.25 -0.262458\n0.50 0.292654\n0.75 0.908212\nName: 2462, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33254082924718315, std values: 0.8564307901219956, min values: -2.8531572940820533, max values: 3.5908526919299577, median values: -0.4608429636021278, and quantile values: 0.25 -0.926881\n0.50 -0.460843\n0.75 0.190534\nName: 2463, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10449578811750858, std values: 1.1720048688445777, min values: -2.558791007225312, max values: 3.3636961113187773, median values: 0.0556170141136059, and quantile values: 0.25 -0.663419\n0.50 0.055617\n0.75 0.800914\nName: 2464, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17930505928324517, std values: 0.749147921765432, min values: -2.90140378513671, max values: 3.3337116327022187, median values: 0.138162409138361, and quantile values: 0.25 -0.314161\n0.50 0.138162\n0.75 0.645929\nName: 2465, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13449865824812413, std values: 0.8902154211955382, min values: -2.5743883495350026, max values: 5.0, median values: -0.1078877353781288, and quantile values: 0.25 -0.707817\n0.50 -0.107888\n0.75 0.424995\nName: 2466, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38030753814457985, std values: 0.8787747503160475, min values: -2.0604662602729085, max values: 3.197902420311553, median values: 0.4005822011366783, and quantile values: 0.25 -0.274935\n0.50 0.400582\n0.75 1.068733\nName: 2467, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12402861181472878, std values: 0.9569484244224826, min values: -2.739804196611005, max values: 6.0, median values: 0.0706550073426421, and quantile values: 0.25 -0.568150\n0.50 0.070655\n0.75 0.778698\nName: 2468, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12832634205724083, std values: 0.8844590324285275, min values: -2.510124273981921, max values: 3.17157439250477, median values: -0.1087435833929155, and quantile values: 0.25 -0.707301\n0.50 -0.108744\n0.75 0.433418\nName: 2469, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3060246711493996, std values: 1.1556610350171388, min values: -2.873069976951463, max values: 3.0, median values: 0.3770875439901958, and quantile values: 0.25 -0.398703\n0.50 0.377088\n0.75 1.185453\nName: 2470, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21908021488681767, std values: 1.0342445339649942, min values: -2.919359491767569, max values: 5.0, median values: 0.3840556210669559, and quantile values: 0.25 -0.467158\n0.50 0.384056\n0.75 0.961714\nName: 2471, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.049095494661739125, std values: 0.8412633863228004, min values: -2.730840794324401, max values: 3.9905524164385566, median values: 0.026639236948633, and quantile values: 0.25 -0.634825\n0.50 0.026639\n0.75 0.564515\nName: 2472, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5925909335434018, std values: 0.8873275401890468, min values: -2.8121055320525654, max values: 5.0, median values: -0.671481176411804, and quantile values: 0.25 -1.222344\n0.50 -0.671481\n0.75 -0.109079\nName: 2473, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17786048048086672, std values: 0.9660508906982379, min values: -2.1232100101643527, max values: 6.0, median values: -0.2049692719775081, and quantile values: 0.25 -0.967378\n0.50 -0.204969\n0.75 0.575111\nName: 2474, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15021408796177962, std values: 0.9017975933151499, min values: -2.5825978442440407, max values: 6.0, median values: 0.1403520658305851, and quantile values: 0.25 -0.543168\n0.50 0.140352\n0.75 0.845867\nName: 2475, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09195391450257505, std values: 0.8215334488025275, min values: -2.1775880058603043, max values: 3.9905524164385566, median values: 0.1338263613595518, and quantile values: 0.25 -0.479449\n0.50 0.133826\n0.75 0.653002\nName: 2476, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.018775265235798925, std values: 0.8784835547101627, min values: -2.264034258932616, max values: 3.455472209455805, median values: -0.1019227334523559, and quantile values: 0.25 -0.647830\n0.50 -0.101923\n0.75 0.592596\nName: 2477, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02036535536051731, std values: 1.2167991865625398, min values: -2.162123508609361, max values: 4.278004674434932, median values: -0.0612581839280856, and quantile values: 0.25 -1.027849\n0.50 -0.061258\n0.75 0.903338\nName: 2478, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19461452887592412, std values: 1.015148320288856, min values: -2.14258071674473, max values: 4.0, median values: -0.2107626692721335, and quantile values: 0.25 -1.021732\n0.50 -0.210763\n0.75 0.552769\nName: 2479, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11672819460398143, std values: 0.9073210329366174, min values: -2.5039074859839925, max values: 4.0, median values: -0.2080810745397849, and quantile values: 0.25 -0.808556\n0.50 -0.208081\n0.75 0.498848\nName: 2480, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41472532706032916, std values: 0.9407943082878278, min values: -2.7648443048846945, max values: 3.5427287984042666, median values: 0.286492750860471, and quantile values: 0.25 -0.223249\n0.50 0.286493\n0.75 1.024045\nName: 2481, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3657317230672517, std values: 0.8768502617042376, min values: -2.688157591415518, max values: 5.0, median values: -0.4992227056450364, and quantile values: 0.25 -0.986730\n0.50 -0.499223\n0.75 0.191965\nName: 2482, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7630660195772041, std values: 0.8743328720952986, min values: -2.572123985342288, max values: 5.0, median values: -0.8833652150044787, and quantile values: 0.25 -1.404673\n0.50 -0.883365\n0.75 -0.172281\nName: 2483, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5505981704306881, std values: 1.0105717339791997, min values: -2.476285024008804, max values: 3.169414082461771, median values: 0.6805699927630143, and quantile values: 0.25 -0.198365\n0.50 0.680570\n0.75 1.358821\nName: 2484, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30475646133324585, std values: 0.8077354049974507, min values: -2.5689076212724418, max values: 5.0, median values: 0.3870596810897575, and quantile values: 0.25 -0.250473\n0.50 0.387060\n0.75 0.874533\nName: 2485, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3830280273055567, std values: 0.9241787548823094, min values: -2.960014365184806, max values: 6.0, median values: -0.4782068745392571, and quantile values: 0.25 -1.068873\n0.50 -0.478207\n0.75 0.203229\nName: 2486, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3918016487322915, std values: 1.4056361285729557, min values: -2.815821936576896, max values: 3.0, median values: -0.2606559947910767, and quantile values: 0.25 -1.733157\n0.50 -0.260656\n0.75 0.677029\nName: 2487, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15440364137924617, std values: 0.7747167047402455, min values: -2.45229857681487, max values: 3.0, median values: -0.1935921111021173, and quantile values: 0.25 -0.728703\n0.50 -0.193592\n0.75 0.353858\nName: 2488, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05824000909114724, std values: 0.8895030605185159, min values: -2.8813228856300537, max values: 5.0, median values: -0.0783575897781375, and quantile values: 0.25 -0.651366\n0.50 -0.078358\n0.75 0.496866\nName: 2489, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.034000900992343666, std values: 1.282148446050749, min values: -2.608390851963037, max values: 5.0, median values: 0.0560430987318598, and quantile values: 0.25 -0.988749\n0.50 0.056043\n0.75 1.072100\nName: 2490, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04912884343389752, std values: 0.8930450644201341, min values: -2.0884068356849723, max values: 4.0, median values: -0.1866323080924972, and quantile values: 0.25 -0.704071\n0.50 -0.186632\n0.75 0.520139\nName: 2491, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3293180718079577, std values: 0.8760269257166271, min values: -2.5039074859839925, max values: 4.0, median values: -0.4190009361946408, and quantile values: 0.25 -0.974968\n0.50 -0.419001\n0.75 0.233744\nName: 2492, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19844334805190583, std values: 0.8850928639823004, min values: -2.607565022042742, max values: 4.243835016543704, median values: 0.3087314494533873, and quantile values: 0.25 -0.255134\n0.50 0.308731\n0.75 0.758344\nName: 2493, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03283568153663333, std values: 0.8701190582305165, min values: -2.63315074164461, max values: 6.0, median values: 0.0754656383518692, and quantile values: 0.25 -0.419414\n0.50 0.075466\n0.75 0.569428\nName: 2494, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15598759530967107, std values: 0.9002771208891229, min values: -2.730840794324401, max values: 3.197902420311553, median values: -0.0737355117138489, and quantile values: 0.25 -0.804074\n0.50 -0.073736\n0.75 0.441054\nName: 2495, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3676426857700874, std values: 0.8564381909928472, min values: -2.0704209263614266, max values: 4.243835016543704, median values: 0.4368466600224114, and quantile values: 0.25 -0.216421\n0.50 0.436847\n0.75 0.977186\nName: 2496, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4392495424026115, std values: 1.0994574521200071, min values: -2.916688926075616, max values: 6.0, median values: -0.423934414024649, and quantile values: 0.25 -1.205508\n0.50 -0.423934\n0.75 0.386627\nName: 2497, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1461951629945249, std values: 0.9567080500379859, min values: -2.9472833478224456, max values: 6.0, median values: -0.168288723422496, and quantile values: 0.25 -0.739789\n0.50 -0.168289\n0.75 0.464052\nName: 2498, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11587195778568993, std values: 0.8471284514571688, min values: -2.120681876014718, max values: 3.9905524164385566, median values: -0.2497416400455794, and quantile values: 0.25 -0.731302\n0.50 -0.249742\n0.75 0.399598\nName: 2499, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44792540221438115, std values: 0.7894440940389146, min values: -2.105533826510237, max values: 3.1888787873512885, median values: -0.5458513898204845, and quantile values: 0.25 -1.015697\n0.50 -0.545851\n0.75 -0.018980\nName: 2500, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4492206811730851, std values: 1.0438856627194768, min values: -2.92272757463548, max values: 6.0, median values: -0.410419053416263, and quantile values: 0.25 -1.162631\n0.50 -0.410419\n0.75 0.267288\nName: 2501, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.027148555644438375, std values: 0.8017069783616986, min values: -2.372995607737588, max values: 5.0, median values: -0.0678538209049226, and quantile values: 0.25 -0.554427\n0.50 -0.067854\n0.75 0.443356\nName: 2502, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06625012250195833, std values: 0.8752432006482385, min values: -3.28024538647024, max values: 3.1841025362512254, median values: -0.0034270098555524, and quantile values: 0.25 -0.490059\n0.50 -0.003427\n0.75 0.663364\nName: 2503, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27374284939022014, std values: 0.9016300069163601, min values: -2.0781412119265164, max values: 5.0, median values: -0.4180106180459694, and quantile values: 0.25 -0.957183\n0.50 -0.418011\n0.75 0.308472\nName: 2504, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24300620654894775, std values: 0.8119172645091379, min values: -2.321103531050575, max values: 4.0, median values: -0.3507542925611951, and quantile values: 0.25 -0.871147\n0.50 -0.350754\n0.75 0.302787\nName: 2505, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04288148213039613, std values: 0.8637547614110801, min values: -2.57895707818966, max values: 6.0, median values: 0.1292854827725643, and quantile values: 0.25 -0.493896\n0.50 0.129285\n0.75 0.620954\nName: 2506, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2620099092342389, std values: 0.8442185133686593, min values: -2.475778245535816, max values: 3.0, median values: -0.3812303903028172, and quantile values: 0.25 -0.906969\n0.50 -0.381230\n0.75 0.260925\nName: 2507, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10785561690043528, std values: 0.7591538069045549, min values: -2.355868561485032, max values: 5.0, median values: 0.0215098620602261, and quantile values: 0.25 -0.388882\n0.50 0.021510\n0.75 0.583481\nName: 2508, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1662068884147243, std values: 0.9658605768200209, min values: -2.579952672199424, max values: 6.0, median values: -0.285848046803426, and quantile values: 0.25 -0.904867\n0.50 -0.285848\n0.75 0.488300\nName: 2509, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5948131908126846, std values: 1.1310174310029801, min values: -2.446004335193168, max values: 6.0, median values: 0.5672006080693839, and quantile values: 0.25 -0.279506\n0.50 0.567201\n0.75 1.560217\nName: 2510, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2401643035353292, std values: 0.9329130595304069, min values: -2.9898739724800576, max values: 3.176672644814091, median values: -0.2672494794613674, and quantile values: 0.25 -1.015934\n0.50 -0.267249\n0.75 0.443252\nName: 2511, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6200917029515892, std values: 0.920251382210443, min values: -2.2881806161535643, max values: 3.0, median values: -0.7648449528392861, and quantile values: 0.25 -1.403022\n0.50 -0.764845\n0.75 0.017213\nName: 2512, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4239274237169844, std values: 0.961244773102467, min values: -2.981718296512785, max values: 5.0, median values: -0.4427241360489705, and quantile values: 0.25 -1.053270\n0.50 -0.442724\n0.75 0.218826\nName: 2513, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08918568785107824, std values: 0.8880274725150012, min values: -2.6800544037614658, max values: 4.0, median values: 0.044281894567936, and quantile values: 0.25 -0.493927\n0.50 0.044282\n0.75 0.657576\nName: 2514, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03386183880543061, std values: 0.9541288343144183, min values: -2.125402219364062, max values: 6.0, median values: -0.0579475896267618, and quantile values: 0.25 -0.784633\n0.50 -0.057948\n0.75 0.718821\nName: 2515, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15057739381545035, std values: 0.9895537969457912, min values: -3.074005993202373, max values: 3.155170554159904, median values: -0.1556927075301168, and quantile values: 0.25 -0.963515\n0.50 -0.155693\n0.75 0.582339\nName: 2516, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4269153286691397, std values: 0.8781702292922137, min values: -2.632854336056873, max values: 3.434669824302974, median values: -0.4870315228029712, and quantile values: 0.25 -1.138186\n0.50 -0.487032\n0.75 0.161580\nName: 2517, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47333772498022814, std values: 0.9311667903186195, min values: -2.64479559868397, max values: 6.0, median values: 0.552581131862872, and quantile values: 0.25 -0.213639\n0.50 0.552581\n0.75 1.220801\nName: 2518, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3682636951702303, std values: 1.1623200171050498, min values: -2.739804196611005, max values: 6.0, median values: -0.2233456324340921, and quantile values: 0.25 -1.387199\n0.50 -0.223346\n0.75 0.569013\nName: 2519, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12839983500192928, std values: 0.9566464658519503, min values: -2.732564679617164, max values: 3.0, median values: -0.1657996060993973, and quantile values: 0.25 -0.780957\n0.50 -0.165800\n0.75 0.501497\nName: 2520, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26374265194788155, std values: 1.1317083558392431, min values: -2.622408470084112, max values: 3.1175233493066874, median values: 0.4496491077008201, and quantile values: 0.25 -0.437566\n0.50 0.449649\n0.75 1.132139\nName: 2521, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.030030282240820234, std values: 1.0342679999591413, min values: -2.7648443048846945, max values: 3.163266084685921, median values: -0.1017402345121787, and quantile values: 0.25 -0.777451\n0.50 -0.101740\n0.75 0.767608\nName: 2522, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6959484794898182, std values: 0.9198851812609985, min values: -2.7428415536925543, max values: 5.0, median values: -0.8158041258217135, and quantile values: 0.25 -1.404673\n0.50 -0.815804\n0.75 -0.097980\nName: 2523, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35186247612299576, std values: 0.8840685448871854, min values: -2.5201815750705507, max values: 4.0, median values: -0.4084724819741236, and quantile values: 0.25 -0.895762\n0.50 -0.408472\n0.75 0.218211\nName: 2524, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37948669216801684, std values: 1.0309829834013124, min values: -2.949186837165601, max values: 4.0, median values: -0.280602105460886, and quantile values: 0.25 -0.957923\n0.50 -0.280602\n0.75 0.282551\nName: 2525, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7262875888051364, std values: 0.7742897332519858, min values: -2.564449278715455, max values: 3.216771431244405, median values: -0.8742099007928937, and quantile values: 0.25 -1.283997\n0.50 -0.874210\n0.75 -0.303501\nName: 2526, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7010320906775579, std values: 0.8911546377385022, min values: -2.740813841730953, max values: 3.0, median values: -0.8215361100381762, and quantile values: 0.25 -1.366416\n0.50 -0.821536\n0.75 -0.186175\nName: 2527, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46845425121012757, std values: 0.8847819999157925, min values: -2.486556664247513, max values: 3.5581019918925243, median values: -0.57485591144115, and quantile values: 0.25 -1.081989\n0.50 -0.574856\n0.75 0.063410\nName: 2528, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.011086139226143519, std values: 0.9883303926748133, min values: -2.6685266729136536, max values: 5.0, median values: 0.0237785521121995, and quantile values: 0.25 -0.497258\n0.50 0.023779\n0.75 0.611232\nName: 2529, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1910591311470876, std values: 0.8222177168441291, min values: -2.6117120822772133, max values: 5.0, median values: 0.2480351809910684, and quantile values: 0.25 -0.419243\n0.50 0.248035\n0.75 0.786011\nName: 2530, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6005337073152619, std values: 1.596605568225621, min values: -2.944950884974346, max values: 4.026668017837955, median values: -0.336538328792638, and quantile values: 0.25 -2.148912\n0.50 -0.336538\n0.75 0.608617\nName: 2531, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4015875041217084, std values: 0.9278923964714232, min values: -2.608390851963037, max values: 5.0, median values: -0.4912848015881638, and quantile values: 0.25 -1.063158\n0.50 -0.491285\n0.75 0.184368\nName: 2532, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15884998941004566, std values: 0.8523844400757103, min values: -2.687115288423959, max values: 5.0, median values: -0.2344819128378789, and quantile values: 0.25 -0.722290\n0.50 -0.234482\n0.75 0.358758\nName: 2533, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4083446992676779, std values: 0.9816312333507904, min values: -2.8531572940820533, max values: 3.867701659180865, median values: -0.4551209971603178, and quantile values: 0.25 -1.014707\n0.50 -0.455121\n0.75 0.210038\nName: 2534, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3595443623206156, std values: 1.1909905160146435, min values: -2.673124659932621, max values: 6.0, median values: 0.4227337031882137, and quantile values: 0.25 -0.412997\n0.50 0.422734\n0.75 1.300906\nName: 2535, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07996630601804924, std values: 1.1973894981837157, min values: -2.9029979285382743, max values: 3.784832159836258, median values: 0.3441014984218907, and quantile values: 0.25 -0.476485\n0.50 0.344101\n0.75 0.867658\nName: 2536, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4737039897425249, std values: 0.8411567113516155, min values: -2.0884068356849723, max values: 3.434669824302974, median values: 0.5751068565117518, and quantile values: 0.25 -0.056017\n0.50 0.575107\n0.75 1.045143\nName: 2537, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3164947524844317, std values: 0.8165965845322823, min values: -2.642042398333877, max values: 3.0, median values: -0.3555882048210836, and quantile values: 0.25 -0.798260\n0.50 -0.355588\n0.75 0.150434\nName: 2538, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.297876163296427, std values: 0.8750069035900322, min values: -2.475778245535816, max values: 3.390469008396469, median values: -0.3005964237507246, and quantile values: 0.25 -0.946845\n0.50 -0.300596\n0.75 0.267335\nName: 2539, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39628552880418155, std values: 0.797585623038116, min values: -2.264034258932616, max values: 3.3483277116524426, median values: -0.4529201065919869, and quantile values: 0.25 -0.973729\n0.50 -0.452920\n0.75 0.042285\nName: 2540, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10103449849832156, std values: 0.8000592812664713, min values: -2.7428415536925543, max values: 5.0, median values: 0.0754182346359073, and quantile values: 0.25 -0.424452\n0.50 0.075418\n0.75 0.589467\nName: 2541, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4009683368190359, std values: 1.1194121521368234, min values: -3.074005993202373, max values: 3.397048482165858, median values: 0.5330148631980512, and quantile values: 0.25 -0.310060\n0.50 0.533015\n0.75 1.251654\nName: 2542, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21369904614334848, std values: 0.821705474852674, min values: -2.5832619696830608, max values: 6.0, median values: 0.1445780451542549, and quantile values: 0.25 -0.385354\n0.50 0.144578\n0.75 0.775119\nName: 2543, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29428993372976175, std values: 0.7629769487191617, min values: -2.100754849305273, max values: 6.0, median values: 0.3181613383436644, and quantile values: 0.25 -0.181176\n0.50 0.318161\n0.75 0.742927\nName: 2544, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16371652755066077, std values: 0.7129368123234623, min values: -2.27710446206836, max values: 3.349054967837474, median values: 0.2001624304930041, and quantile values: 0.25 -0.303046\n0.50 0.200162\n0.75 0.622591\nName: 2545, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29361608698833036, std values: 0.846648383675444, min values: -2.0340473177314244, max values: 6.0, median values: 0.2551675206413847, and quantile values: 0.25 -0.292482\n0.50 0.255168\n0.75 0.797578\nName: 2546, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25677403452742775, std values: 0.7790218483480673, min values: -1.9035499046519848, max values: 3.721862465295849, median values: 0.3019425172496597, and quantile values: 0.25 -0.225262\n0.50 0.301943\n0.75 0.751587\nName: 2547, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5052795895356468, std values: 0.8974972856568337, min values: -2.024977263287256, max values: 4.243835016543704, median values: 0.5284811049658279, and quantile values: 0.25 -0.132003\n0.50 0.528481\n0.75 1.140387\nName: 2548, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4004655988300999, std values: 0.9816974667528361, min values: -2.643887016977268, max values: 6.0, median values: 0.4966975801132874, and quantile values: 0.25 -0.138663\n0.50 0.496698\n0.75 1.026924\nName: 2549, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14345599242762672, std values: 0.760825683129012, min values: -2.7428415536925543, max values: 3.379902545505621, median values: -0.1814280016989146, and quantile values: 0.25 -0.631676\n0.50 -0.181428\n0.75 0.322713\nName: 2550, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34986349092221636, std values: 0.9342964049717792, min values: -2.92272757463548, max values: 6.0, median values: -0.3847172340149923, and quantile values: 0.25 -0.965813\n0.50 -0.384717\n0.75 0.257528\nName: 2551, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24262410832811165, std values: 1.156557989995977, min values: -2.7510671817729784, max values: 6.0, median values: 0.2869957440334489, and quantile values: 0.25 -0.474315\n0.50 0.286996\n0.75 1.076713\nName: 2552, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09285488529276703, std values: 0.975500029006567, min values: -2.8246479422601736, max values: 5.0, median values: -0.1082918759435803, and quantile values: 0.25 -0.798032\n0.50 -0.108292\n0.75 0.608731\nName: 2553, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0239489216528399, std values: 0.8996755372783596, min values: -2.102076355619645, max values: 5.0, median values: -0.0801977465022173, and quantile values: 0.25 -0.599457\n0.50 -0.080198\n0.75 0.566484\nName: 2554, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21329928599112088, std values: 0.7991078967533635, min values: -1.9432130635706284, max values: 5.0, median values: 0.2369119325200183, and quantile values: 0.25 -0.317490\n0.50 0.236912\n0.75 0.716681\nName: 2555, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.006755587831490749, std values: 1.040016631746451, min values: -2.8531572940820533, max values: 4.026668017837955, median values: -0.017159492301828, and quantile values: 0.25 -0.581165\n0.50 -0.017159\n0.75 0.624738\nName: 2556, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5373250153536016, std values: 0.9087756726573671, min values: -2.226424194672579, max values: 4.0, median values: 0.5283204191170939, and quantile values: 0.25 -0.075281\n0.50 0.528320\n0.75 1.123256\nName: 2557, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4389301252406313, std values: 0.9093598848502648, min values: -2.196708653609315, max values: 6.0, median values: 0.4999090915829333, and quantile values: 0.25 -0.235891\n0.50 0.499909\n0.75 1.151017\nName: 2558, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13000127976996168, std values: 0.9623839417348717, min values: -3.1070421433302986, max values: 3.2071942083719924, median values: -0.0985572900363643, and quantile values: 0.25 -0.853493\n0.50 -0.098557\n0.75 0.581476\nName: 2559, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.021961949460500476, std values: 0.759975586699692, min values: -2.126457643282694, max values: 6.0, median values: -0.070531537353477, and quantile values: 0.25 -0.508128\n0.50 -0.070532\n0.75 0.390041\nName: 2560, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10907107548393985, std values: 1.0012586394283305, min values: -2.3344113078233786, max values: 3.709787027503053, median values: -0.177537878309175, and quantile values: 0.25 -0.920820\n0.50 -0.177538\n0.75 0.634247\nName: 2561, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8159577664312281, std values: 0.918408050194019, min values: -2.56026492390943, max values: 4.0, median values: 0.9627709309084028, and quantile values: 0.25 0.177538\n0.50 0.962771\n0.75 1.513262\nName: 2562, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5050222233562943, std values: 0.8742807292471203, min values: -2.1952222375445194, max values: 3.784832159836258, median values: -0.636965732407328, and quantile values: 0.25 -1.139239\n0.50 -0.636966\n0.75 0.006240\nName: 2563, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4032288377853018, std values: 1.2159973262433499, min values: -2.5293911731823453, max values: 3.215720519334646, median values: -0.3746330432032759, and quantile values: 0.25 -1.374445\n0.50 -0.374633\n0.75 0.416164\nName: 2564, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18047194037604947, std values: 0.9533987159148786, min values: -2.622709665346679, max values: 3.096891534584617, median values: -0.2685054745238425, and quantile values: 0.25 -0.842787\n0.50 -0.268505\n0.75 0.443773\nName: 2565, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2733110682343932, std values: 0.9483282256562131, min values: -2.0258339246740453, max values: 3.4566816047670264, median values: -0.4120673675673776, and quantile values: 0.25 -1.033998\n0.50 -0.412067\n0.75 0.325429\nName: 2566, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2418875321272705, std values: 0.8854206496586988, min values: -2.64479559868397, max values: 6.0, median values: 0.2632242309310397, and quantile values: 0.25 -0.229505\n0.50 0.263224\n0.75 0.772695\nName: 2567, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5752737145447635, std values: 0.9712181211989604, min values: -2.58513369695146, max values: 4.0, median values: -0.7103397962081256, and quantile values: 0.25 -1.360419\n0.50 -0.710340\n0.75 0.083541\nName: 2568, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07042741401013483, std values: 1.0280529075091327, min values: -2.3344113078233786, max values: 6.0, median values: 0.0497948366836997, and quantile values: 0.25 -0.755873\n0.50 0.049795\n0.75 0.919160\nName: 2569, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2469016071664342, std values: 0.9106218351868494, min values: -2.4502625580775623, max values: 5.0, median values: 0.1359940656402566, and quantile values: 0.25 -0.440412\n0.50 0.135994\n0.75 0.911879\nName: 2570, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2854205418421545, std values: 0.9057965196354643, min values: -2.662750916816848, max values: 5.0, median values: 0.3739846548866831, and quantile values: 0.25 -0.374202\n0.50 0.373985\n0.75 0.910326\nName: 2571, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.010737475308306899, std values: 1.421373579338914, min values: -2.960014365184806, max values: 6.0, median values: 0.3419958771137362, and quantile values: 0.25 -0.770722\n0.50 0.341996\n0.75 1.016409\nName: 2572, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02972809887962795, std values: 0.9804037745089941, min values: -2.12818931737801, max values: 4.0, median values: -0.0469080536609653, and quantile values: 0.25 -0.825678\n0.50 -0.046908\n0.75 0.732047\nName: 2573, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14495084806270225, std values: 0.8219136241593794, min values: -2.580492024304656, max values: 3.336438412828754, median values: 0.1104555190429225, and quantile values: 0.25 -0.454419\n0.50 0.110456\n0.75 0.709549\nName: 2574, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41988502439698866, std values: 0.8804588214166595, min values: -2.783691185534105, max values: 4.243835016543704, median values: 0.4626785238636118, and quantile values: 0.25 -0.214372\n0.50 0.462679\n0.75 1.098853\nName: 2575, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6657542094816199, std values: 0.8962272441281613, min values: -1.8074177675587344, max values: 6.0, median values: 0.5720978988018975, and quantile values: 0.25 0.058363\n0.50 0.572098\n0.75 1.294488\nName: 2576, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10633186917437229, std values: 0.8367919815444247, min values: -2.5445249319512966, max values: 3.9905524164385566, median values: -0.2115829239589733, and quantile values: 0.25 -0.678783\n0.50 -0.211583\n0.75 0.382593\nName: 2577, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0723178315992648, std values: 1.082161900679354, min values: -2.7510671817729784, max values: 6.0, median values: -0.0797089705882971, and quantile values: 0.25 -0.740100\n0.50 -0.079709\n0.75 0.672348\nName: 2578, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20305567683163267, std values: 0.8814437843719588, min values: -2.8663054413554843, max values: 6.0, median values: -0.2754780952824567, and quantile values: 0.25 -0.766530\n0.50 -0.275478\n0.75 0.325673\nName: 2579, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22618707560300308, std values: 0.8054522591277636, min values: -2.56026492390943, max values: 4.0, median values: -0.3423717694597742, and quantile values: 0.25 -0.789203\n0.50 -0.342372\n0.75 0.251272\nName: 2580, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1958650428312737, std values: 0.9384701782767895, min values: -2.11291809854392, max values: 3.867701659180865, median values: -0.2784543666373776, and quantile values: 0.25 -0.863525\n0.50 -0.278454\n0.75 0.363050\nName: 2581, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32099616381144996, std values: 0.8323954785403291, min values: -2.030139687780874, max values: 3.784832159836258, median values: -0.4277076412803581, and quantile values: 0.25 -0.959951\n0.50 -0.427708\n0.75 0.210597\nName: 2582, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1312278809625459, std values: 0.8876552076393569, min values: -2.4125199145038643, max values: 4.0, median values: 0.0626102009486221, and quantile values: 0.25 -0.537801\n0.50 0.062610\n0.75 0.719575\nName: 2583, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5029320900146081, std values: 1.0016571503093288, min values: -2.876502173242568, max values: 3.103622965243153, median values: -0.5402058984345911, and quantile values: 0.25 -1.296457\n0.50 -0.540206\n0.75 0.197719\nName: 2584, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13469677145407044, std values: 0.8547940088702931, min values: -2.64479559868397, max values: 6.0, median values: -0.1054870259907049, and quantile values: 0.25 -0.664303\n0.50 -0.105487\n0.75 0.418691\nName: 2585, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.015145139475133556, std values: 0.9234379703636679, min values: -2.838932175687192, max values: 4.0, median values: 0.1584609289637099, and quantile values: 0.25 -0.498979\n0.50 0.158461\n0.75 0.625636\nName: 2586, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2771324013366939, std values: 0.935505409402974, min values: -2.475778245535816, max values: 3.721862465295849, median values: 0.2779583460208997, and quantile values: 0.25 -0.420386\n0.50 0.277958\n0.75 1.008381\nName: 2587, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5820440142169138, std values: 0.9475399589240552, min values: -2.5961021427111413, max values: 3.0, median values: -0.7000356626877404, and quantile values: 0.25 -1.354328\n0.50 -0.700036\n0.75 0.045347\nName: 2588, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3538674687160483, std values: 0.7829139591666511, min values: -2.5422910691068967, max values: 3.258347009006034, median values: -0.3954028741375323, and quantile values: 0.25 -0.916982\n0.50 -0.395403\n0.75 0.085353\nName: 2589, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3653933204567716, std values: 0.963436964344188, min values: -3.228456465836797, max values: 3.162318759909359, median values: -0.2560780462169799, and quantile values: 0.25 -0.998118\n0.50 -0.256078\n0.75 0.286594\nName: 2590, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.006121368668048759, std values: 0.813606135782076, min values: -2.63315074164461, max values: 6.0, median values: -0.0976710344024733, and quantile values: 0.25 -0.590286\n0.50 -0.097671\n0.75 0.538228\nName: 2591, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1669942545437869, std values: 0.9510238719991532, min values: -2.5743883495350026, max values: 5.0, median values: -0.242952507800734, and quantile values: 0.25 -0.818096\n0.50 -0.242953\n0.75 0.483752\nName: 2592, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09345021519479332, std values: 0.7869371416228708, min values: -2.142854198138545, max values: 5.0, median values: -0.0489569087580908, and quantile values: 0.25 -0.647539\n0.50 -0.048957\n0.75 0.422071\nName: 2593, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6717015584614378, std values: 0.9344169701285637, min values: -2.321103531050575, max values: 4.0, median values: 0.7079085408815847, and quantile values: 0.25 0.007215\n0.50 0.707909\n0.75 1.442058\nName: 2594, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4613960921180246, std values: 1.0005658424720096, min values: -2.634919142586459, max values: 6.0, median values: -0.5424663923802167, and quantile values: 0.25 -1.256844\n0.50 -0.542466\n0.75 0.228314\nName: 2595, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.47633072964368517, std values: 1.0081144586816846, min values: -2.5743883495350026, max values: 5.0, median values: -0.5814908397525885, and quantile values: 0.25 -1.228236\n0.50 -0.581491\n0.75 0.171550\nName: 2596, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.051930240233206755, std values: 0.8827667559407876, min values: -2.497627580948261, max values: 3.0, median values: -0.0187829158767704, and quantile values: 0.25 -0.522758\n0.50 -0.018783\n0.75 0.475066\nName: 2597, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0044092171591515105, std values: 0.7858427277584884, min values: -2.046854428487538, max values: 6.0, median values: 0.0067747228352543, and quantile values: 0.25 -0.557627\n0.50 0.006775\n0.75 0.535779\nName: 2598, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11070643530281771, std values: 0.8279367373457877, min values: -2.461308921153724, max values: 3.110498035652072, median values: -0.2199547522085712, and quantile values: 0.25 -0.697019\n0.50 -0.219955\n0.75 0.386982\nName: 2599, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08460030868622534, std values: 0.8152009094037287, min values: -2.558791007225312, max values: 3.667275230673496, median values: -0.1075275528412728, and quantile values: 0.25 -0.646170\n0.50 -0.107528\n0.75 0.372508\nName: 2600, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6076803976555394, std values: 0.9513695998987315, min values: -2.5399045531878324, max values: 4.0, median values: -0.636820989055416, and quantile values: 0.25 -1.347606\n0.50 -0.636821\n0.75 0.058363\nName: 2601, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2223533613931485, std values: 0.8684331878021545, min values: -2.4737574649270093, max values: 3.0, median values: -0.3083271050320469, and quantile values: 0.25 -0.866178\n0.50 -0.308327\n0.75 0.353294\nName: 2602, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11099711875657722, std values: 0.7693777495459144, min values: -2.3184884946917497, max values: 6.0, median values: 0.0968636509467506, and quantile values: 0.25 -0.402732\n0.50 0.096864\n0.75 0.593666\nName: 2603, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3443598383853073, std values: 0.8892652310437461, min values: -2.129106615513547, max values: 6.0, median values: -0.4703548496456137, and quantile values: 0.25 -1.026308\n0.50 -0.470355\n0.75 0.209361\nName: 2604, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1972253060846323, std values: 0.8593810020389412, min values: -2.662750916816848, max values: 5.0, median values: -0.2158937949686252, and quantile values: 0.25 -0.854237\n0.50 -0.215894\n0.75 0.371180\nName: 2605, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05349710682085695, std values: 0.9593573117829431, min values: -2.56026492390943, max values: 4.0, median values: -0.003469960408838, and quantile values: 0.25 -0.707059\n0.50 -0.003470\n0.75 0.567039\nName: 2606, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11863212484967285, std values: 1.0498885612745759, min values: -3.0148736195915964, max values: 3.1175233493066874, median values: -0.2465243489277973, and quantile values: 0.25 -0.881578\n0.50 -0.246524\n0.75 0.615143\nName: 2607, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3593011005244587, std values: 0.7622759001564591, min values: -2.5039074859839925, max values: 4.0, median values: 0.3475389473014414, and quantile values: 0.25 -0.128882\n0.50 0.347539\n0.75 0.862206\nName: 2608, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5963432547844516, std values: 0.8618951368873116, min values: -2.221075353514828, max values: 3.415255285860171, median values: -0.7618456930913894, and quantile values: 0.25 -1.252786\n0.50 -0.761846\n0.75 -0.086996\nName: 2609, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11880826733444574, std values: 0.7420807599337037, min values: -2.7314147016889114, max values: 3.8226908388056136, median values: -0.1169223893556062, and quantile values: 0.25 -0.608446\n0.50 -0.116922\n0.75 0.314340\nName: 2610, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3701754888248255, std values: 0.9562660103241066, min values: -2.30717459912532, max values: 3.3760121766849016, median values: -0.5331418388276801, and quantile values: 0.25 -1.127396\n0.50 -0.533142\n0.75 0.281006\nName: 2611, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11840198276064871, std values: 0.7414525523787202, min values: -2.788272971802125, max values: 3.00464355837442, median values: -0.1539726635805556, and quantile values: 0.25 -0.603363\n0.50 -0.153973\n0.75 0.309338\nName: 2612, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17213126760328845, std values: 0.7510703171906054, min values: -2.73836943861057, max values: 3.025409039429847, median values: -0.1645742838276246, and quantile values: 0.25 -0.673418\n0.50 -0.164574\n0.75 0.276337\nName: 2613, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.028573509549333555, std values: 0.8079413283970038, min values: -1.9533338553847144, max values: 4.0, median values: 0.0233830074475066, and quantile values: 0.25 -0.600743\n0.50 0.023383\n0.75 0.520781\nName: 2614, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18941741589711983, std values: 1.1593307293995914, min values: -2.6278943940336483, max values: 4.0, median values: 0.3423717694597744, and quantile values: 0.25 -0.450617\n0.50 0.342372\n0.75 0.984942\nName: 2615, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3248116596936657, std values: 0.9566142408286158, min values: -2.608390851963037, max values: 5.0, median values: -0.3657236827633324, and quantile values: 0.25 -1.062659\n0.50 -0.365724\n0.75 0.426320\nName: 2616, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36016653427643325, std values: 0.9322269626215337, min values: -2.623568901859613, max values: 4.0, median values: -0.34551430675954, and quantile values: 0.25 -1.114505\n0.50 -0.345514\n0.75 0.300978\nName: 2617, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1580881811963324, std values: 0.9788610814499085, min values: -2.6115251494731915, max values: 5.0, median values: 0.0734858945442312, and quantile values: 0.25 -0.616286\n0.50 0.073486\n0.75 0.843833\nName: 2618, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06850891651871062, std values: 0.8204586722207929, min values: -2.7314147016889114, max values: 3.162318759909359, median values: -0.1788529402187384, and quantile values: 0.25 -0.665218\n0.50 -0.178853\n0.75 0.471487\nName: 2619, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2984693389658073, std values: 0.863781429849118, min values: -2.7510671817729784, max values: 6.0, median values: -0.4006717225471504, and quantile values: 0.25 -0.869968\n0.50 -0.400672\n0.75 0.232175\nName: 2620, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.006899369904555354, std values: 0.8211158852067367, min values: -2.739804196611005, max values: 6.0, median values: 0.0613937192171402, and quantile values: 0.25 -0.554758\n0.50 0.061394\n0.75 0.569316\nName: 2621, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.053375666382335235, std values: 0.9204998978634967, min values: -2.1695974540436334, max values: 4.0, median values: -0.0362869261963374, and quantile values: 0.25 -0.580861\n0.50 -0.036287\n0.75 0.643454\nName: 2622, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06219380688502259, std values: 0.8910881512158842, min values: -2.210641609898715, max values: 5.0, median values: -0.1959959642695811, and quantile values: 0.25 -0.732407\n0.50 -0.195996\n0.75 0.555594\nName: 2623, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29201549153039275, std values: 0.861140415708706, min values: -2.094787931821739, max values: 6.0, median values: -0.4187019497698649, and quantile values: 0.25 -0.910002\n0.50 -0.418702\n0.75 0.260827\nName: 2624, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2784071183293551, std values: 1.3028807440000822, min values: -2.825926939679757, max values: 3.9048392686725855, median values: -0.1558400690593588, and quantile values: 0.25 -1.031311\n0.50 -0.155840\n0.75 0.651401\nName: 2625, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12039728330261698, std values: 0.8112143497488524, min values: -2.079371595256712, max values: 5.0, median values: 0.1536382597741438, and quantile values: 0.25 -0.411350\n0.50 0.153638\n0.75 0.617118\nName: 2626, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41248956889412425, std values: 0.9355700547603168, min values: -2.12073996675014, max values: 3.169414082461771, median values: 0.4651626471173342, and quantile values: 0.25 -0.216176\n0.50 0.465163\n0.75 1.061207\nName: 2627, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14122122720813796, std values: 0.9891737053210946, min values: -2.916688926075616, max values: 6.0, median values: 0.0810266146738414, and quantile values: 0.25 -0.521187\n0.50 0.081027\n0.75 0.783051\nName: 2628, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3107249016866236, std values: 1.0911586512899707, min values: -2.609385158408876, max values: 4.0, median values: 0.2784742560050467, and quantile values: 0.25 -0.403897\n0.50 0.278474\n0.75 1.017026\nName: 2629, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2614619257899319, std values: 0.9759734129015435, min values: -2.837386543755612, max values: 4.0, median values: -0.2263998351082108, and quantile values: 0.25 -0.856589\n0.50 -0.226400\n0.75 0.319610\nName: 2630, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20064441605105268, std values: 1.35408172724096, min values: -3.24173864501462, max values: 3.2936960268109283, median values: 0.4961368715091241, and quantile values: 0.25 -0.606194\n0.50 0.496137\n0.75 1.159066\nName: 2631, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11065397185025533, std values: 1.0256406503426372, min values: -2.8246479422601736, max values: 6.0, median values: -0.1005776500512043, and quantile values: 0.25 -0.726263\n0.50 -0.100578\n0.75 0.588975\nName: 2632, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.009295971615843609, std values: 0.9774246606400305, min values: -2.579952672199424, max values: 6.0, median values: -0.0586096565193923, and quantile values: 0.25 -0.773078\n0.50 -0.058610\n0.75 0.686182\nName: 2633, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09711413817796148, std values: 0.9235224307842904, min values: -2.73836943861057, max values: 3.0, median values: -0.0867197102265131, and quantile values: 0.25 -0.796651\n0.50 -0.086720\n0.75 0.532983\nName: 2634, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10540086733235872, std values: 0.9597681637097388, min values: -2.497627580948261, max values: 3.598076523509904, median values: -0.1850687317927714, and quantile values: 0.25 -0.681494\n0.50 -0.185069\n0.75 0.482610\nName: 2635, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8724710951520359, std values: 1.3174196438457186, min values: -2.4564928597243227, max values: 4.278004674434932, median values: 0.7594324043517158, and quantile values: 0.25 -0.109219\n0.50 0.759432\n0.75 1.791902\nName: 2636, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5741046914871153, std values: 1.2269287978264276, min values: -2.944950884974346, max values: 3.0, median values: -0.4324567319894712, and quantile values: 0.25 -1.757716\n0.50 -0.432457\n0.75 0.297616\nName: 2637, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5076925983056308, std values: 0.7876604629586283, min values: -2.6117120822772133, max values: 5.0, median values: 0.6009832003155597, and quantile values: 0.25 0.007766\n0.50 0.600983\n0.75 1.053740\nName: 2638, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11907973740862283, std values: 0.9784477921061963, min values: -2.196181211030292, max values: 5.0, median values: 0.1767328106446617, and quantile values: 0.25 -0.637470\n0.50 0.176733\n0.75 0.845352\nName: 2639, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31098292701199504, std values: 0.8745094519796534, min values: -2.425356936497227, max values: 6.0, median values: -0.453777453006499, and quantile values: 0.25 -0.936645\n0.50 -0.453777\n0.75 0.206029\nName: 2640, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07331182726408522, std values: 0.7798465316393159, min values: -1.9906693637114885, max values: 4.0, median values: 0.1061150116032168, and quantile values: 0.25 -0.477200\n0.50 0.106115\n0.75 0.617229\nName: 2641, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4631329210884554, std values: 0.9658964057515775, min values: -1.92541146292576, max values: 3.627976272701048, median values: 0.328894567458367, and quantile values: 0.25 -0.248157\n0.50 0.328895\n0.75 1.107460\nName: 2642, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16790364208809147, std values: 0.9533208068455181, min values: -3.05087304133376, max values: 5.0, median values: -0.1337707875099595, and quantile values: 0.25 -0.896323\n0.50 -0.133771\n0.75 0.506817\nName: 2643, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09718484478966496, std values: 0.812766401273629, min values: -1.9892594283500773, max values: 5.0, median values: -0.0072979827425515, and quantile values: 0.25 -0.489765\n0.50 -0.007298\n0.75 0.610011\nName: 2644, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08526924585866555, std values: 0.9091323550650897, min values: -2.620939317041317, max values: 4.0, median values: 0.1355561056619192, and quantile values: 0.25 -0.524466\n0.50 0.135556\n0.75 0.675735\nName: 2645, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1884910673914015, std values: 0.7657675226768391, min values: -2.0683523803658423, max values: 5.0, median values: 0.1844442283209704, and quantile values: 0.25 -0.273368\n0.50 0.184444\n0.75 0.659423\nName: 2646, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.008844203783530404, std values: 0.7951565369028024, min values: -3.228456465836797, max values: 3.477886732511886, median values: -0.0407098585863879, and quantile values: 0.25 -0.517052\n0.50 -0.040710\n0.75 0.492165\nName: 2647, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29155293551637407, std values: 0.8597002849223222, min values: -2.7510671817729784, max values: 6.0, median values: -0.3831264400707658, and quantile values: 0.25 -0.855668\n0.50 -0.383126\n0.75 0.234310\nName: 2648, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27755949107313904, std values: 0.8035894544228984, min values: -2.710223074556336, max values: 4.0, median values: -0.3161052073417116, and quantile values: 0.25 -0.841776\n0.50 -0.316105\n0.75 0.220003\nName: 2649, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37773074897731174, std values: 1.0212857486865685, min values: -2.916688926075616, max values: 6.0, median values: -0.3900706715824564, and quantile values: 0.25 -1.238011\n0.50 -0.390071\n0.75 0.353037\nName: 2650, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06963871567659326, std values: 0.7230231303545722, min values: -2.006908622861856, max values: 5.0, median values: -0.0445182304448816, and quantile values: 0.25 -0.568566\n0.50 -0.044518\n0.75 0.390552\nName: 2651, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4297270160109562, std values: 0.8543524950529455, min values: -1.9649002319461304, max values: 5.0, median values: 0.4961972822721258, and quantile values: 0.25 -0.181316\n0.50 0.496197\n0.75 1.053887\nName: 2652, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4941446927941217, std values: 1.0137910552847276, min values: -2.673549169958716, max values: 6.0, median values: -0.5254421367873862, and quantile values: 0.25 -1.328787\n0.50 -0.525442\n0.75 0.199033\nName: 2653, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2149707536930673, std values: 0.821895279103903, min values: -2.8680719719444903, max values: 3.02009942896863, median values: -0.1441983036149603, and quantile values: 0.25 -0.766720\n0.50 -0.144198\n0.75 0.341294\nName: 2654, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02964446173165018, std values: 1.2565036670941259, min values: -2.607565022042742, max values: 4.0, median values: 0.0881848860116932, and quantile values: 0.25 -0.869337\n0.50 0.088185\n0.75 1.036340\nName: 2655, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6004709334749557, std values: 0.923815187181977, min values: -2.688157591415518, max values: 3.438667023696733, median values: 0.6752465582621938, and quantile values: 0.25 -0.028259\n0.50 0.675247\n0.75 1.287017\nName: 2656, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17413423813032494, std values: 0.8039145756940886, min values: -1.9749387048858984, max values: 2.98373867666567, median values: 0.2179452619840451, and quantile values: 0.25 -0.360991\n0.50 0.217945\n0.75 0.718791\nName: 2657, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2926639054919414, std values: 0.8610840395812733, min values: -2.075689841339451, max values: 3.9905524164385566, median values: -0.441687933298672, and quantile values: 0.25 -0.909211\n0.50 -0.441688\n0.75 0.264007\nName: 2658, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24872661252606623, std values: 1.002253144897617, min values: -2.1519703158873136, max values: 3.197902420311553, median values: -0.2760218138540502, and quantile values: 0.25 -1.086749\n0.50 -0.276022\n0.75 0.468356\nName: 2659, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1233334075405758, std values: 0.9323148371100525, min values: -2.1798712735263623, max values: 4.243835016543704, median values: -0.242924143706303, and quantile values: 0.25 -0.830345\n0.50 -0.242924\n0.75 0.483460\nName: 2660, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.00579579027923015, std values: 0.815058658732163, min values: -2.177784223000163, max values: 6.0, median values: -0.0658389540829049, and quantile values: 0.25 -0.539987\n0.50 -0.065839\n0.75 0.486145\nName: 2661, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21240032514255047, std values: 0.8861677705172236, min values: -2.673549169958716, max values: 6.0, median values: 0.318740772696016, and quantile values: 0.25 -0.250419\n0.50 0.318741\n0.75 0.773843\nName: 2662, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31360625994911534, std values: 0.959603517562995, min values: -2.740813841730953, max values: 3.2071942083719924, median values: -0.3432741086123816, and quantile values: 0.25 -1.043623\n0.50 -0.343274\n0.75 0.364511\nName: 2663, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10359217936531116, std values: 0.714561353988325, min values: -2.12073996675014, max values: 3.1395741599540568, median values: 0.06558546937273, and quantile values: 0.25 -0.341294\n0.50 0.065585\n0.75 0.527179\nName: 2664, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3118374114557601, std values: 0.8845246556382458, min values: -2.1035148721162003, max values: 5.0, median values: -0.4092414467051865, and quantile values: 0.25 -1.007831\n0.50 -0.409241\n0.75 0.301299\nName: 2665, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04108448676925436, std values: 1.0260043627981785, min values: -2.8563982925340614, max values: 4.0, median values: 0.0427915088465184, and quantile values: 0.25 -0.645725\n0.50 0.042792\n0.75 0.624537\nName: 2666, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36528985806535547, std values: 0.927807663719325, min values: -2.580492024304656, max values: 3.5581019918925243, median values: 0.339556836852311, and quantile values: 0.25 -0.217134\n0.50 0.339557\n0.75 0.857032\nName: 2667, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.019185436583193688, std values: 0.8023852346493326, min values: -2.6652153608723106, max values: 3.9905524164385566, median values: -0.0591613985429833, and quantile values: 0.25 -0.565326\n0.50 -0.059161\n0.75 0.534799\nName: 2668, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4469550795795269, std values: 0.8410720672951718, min values: -2.083555534231988, max values: 3.2071942083719924, median values: -0.568074151225687, and quantile values: 0.25 -1.082484\n0.50 -0.568074\n0.75 0.056351\nName: 2669, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32018874327492614, std values: 0.772538364127699, min values: -2.001019781473294, max values: 5.0, median values: 0.3058532509061066, and quantile values: 0.25 -0.161976\n0.50 0.305853\n0.75 0.806133\nName: 2670, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4287678170840176, std values: 1.2676624094617335, min values: -2.622408470084112, max values: 3.32433157891547, median values: 0.3821782434451829, and quantile values: 0.25 -0.504908\n0.50 0.382178\n0.75 1.497950\nName: 2671, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36725623257557843, std values: 0.8650785520753113, min values: -2.349293916724472, max values: 3.627976272701048, median values: -0.4734427460288591, and quantile values: 0.25 -1.049145\n0.50 -0.473443\n0.75 0.210541\nName: 2672, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19036378168315143, std values: 0.76005743642869, min values: -1.9914689440550823, max values: 2.985133931273498, median values: 0.2478624600948444, and quantile values: 0.25 -0.327622\n0.50 0.247862\n0.75 0.698346\nName: 2673, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10475693428653345, std values: 0.7846835626899866, min values: -2.014859573509326, max values: 4.0, median values: 0.0373985021259613, and quantile values: 0.25 -0.426314\n0.50 0.037399\n0.75 0.631744\nName: 2674, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7612821718336935, std values: 0.9666102135175736, min values: -2.981718296512785, max values: 5.0, median values: -0.9632525750959364, and quantile values: 0.25 -1.470270\n0.50 -0.963253\n0.75 -0.211560\nName: 2675, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21748065914527095, std values: 0.8802649310786466, min values: -2.521882829270847, max values: 4.0, median values: 0.2401946824390206, and quantile values: 0.25 -0.277025\n0.50 0.240195\n0.75 0.782004\nName: 2676, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0526115316511094, std values: 0.8442855742016495, min values: -1.9890885222563244, max values: 2.887007053971583, median values: -0.0112502614424349, and quantile values: 0.25 -0.515807\n0.50 -0.011250\n0.75 0.592905\nName: 2677, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4237039794698827, std values: 0.9233479598087113, min values: -2.397622375720726, max values: 4.0, median values: -0.5612472788071587, and quantile values: 0.25 -1.142881\n0.50 -0.561247\n0.75 0.158768\nName: 2678, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17482342415582122, std values: 1.0108034725893504, min values: -2.3184884946917497, max values: 6.0, median values: 0.2098444761992427, and quantile values: 0.25 -0.616372\n0.50 0.209844\n0.75 0.929413\nName: 2679, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35658004585576375, std values: 0.8980892128764268, min values: -2.572123985342288, max values: 4.0, median values: -0.4706158272836104, and quantile values: 0.25 -1.057490\n0.50 -0.470616\n0.75 0.205618\nName: 2680, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23685992208969325, std values: 1.1898973338118015, min values: -2.251967524954129, max values: 5.0, median values: -0.4165509120526813, and quantile values: 0.25 -1.261954\n0.50 -0.416551\n0.75 0.579144\nName: 2681, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.057013285689482766, std values: 0.8887961393778557, min values: -2.475778245535816, max values: 3.630507857092792, median values: -0.1400254790074895, and quantile values: 0.25 -0.628535\n0.50 -0.140025\n0.75 0.466791\nName: 2682, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2878408301869195, std values: 0.9119010576841012, min values: -1.9474301154000653, max values: 3.528773265847577, median values: 0.2741913227476868, and quantile values: 0.25 -0.412997\n0.50 0.274191\n0.75 1.038509\nName: 2683, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23425295652135522, std values: 0.8139844983386149, min values: -2.393489005488375, max values: 3.0932086550988465, median values: -0.2763651337388857, and quantile values: 0.25 -0.776268\n0.50 -0.276365\n0.75 0.240429\nName: 2684, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12292141355301126, std values: 1.127313838777248, min values: -2.6270253558526173, max values: 4.0, median values: 0.2769660219558674, and quantile values: 0.25 -0.625945\n0.50 0.276966\n0.75 1.015088\nName: 2685, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08395081251081159, std values: 0.8291345993618457, min values: -2.5156802245814003, max values: 4.0, median values: 0.1227341761437278, and quantile values: 0.25 -0.400212\n0.50 0.122734\n0.75 0.579438\nName: 2686, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07101256988132541, std values: 0.7799029359232503, min values: -1.9649002319461304, max values: 3.518664430018096, median values: 0.0595468540177692, and quantile values: 0.25 -0.434975\n0.50 0.059547\n0.75 0.555971\nName: 2687, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0935615231269358, std values: 1.0887392006390781, min values: -2.607565022042742, max values: 4.0, median values: -0.1945743129120746, and quantile values: 0.25 -0.909539\n0.50 -0.194574\n0.75 0.619052\nName: 2688, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4269656717833676, std values: 0.9352048150467408, min values: -2.048935494746508, max values: 3.2696814875916886, median values: 0.4767318704853439, and quantile values: 0.25 -0.237131\n0.50 0.476732\n0.75 1.070255\nName: 2689, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38631359591876235, std values: 0.8526624501832937, min values: -2.4536054974529624, max values: 6.0, median values: 0.3337860908102754, and quantile values: 0.25 -0.134220\n0.50 0.333786\n0.75 0.910111\nName: 2690, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25988391390505855, std values: 0.962996476416317, min values: -2.226625492124457, max values: 4.278004674434932, median values: -0.2495465794353735, and quantile values: 0.25 -1.091191\n0.50 -0.249547\n0.75 0.414464\nName: 2691, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24525294690870134, std values: 0.9249400846307432, min values: -2.5743883495350026, max values: 5.0, median values: -0.3601096901406228, and quantile values: 0.25 -0.825118\n0.50 -0.360110\n0.75 0.286192\nName: 2692, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.002003922958426421, std values: 0.8785924254035163, min values: -2.39811046394948, max values: 3.071284484560209, median values: -0.0314826347552487, and quantile values: 0.25 -0.698074\n0.50 -0.031483\n0.75 0.599127\nName: 2693, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2566519891340643, std values: 0.9855885597638276, min values: -2.556631690482005, max values: 3.0, median values: 0.3182192769689898, and quantile values: 0.25 -0.444608\n0.50 0.318219\n0.75 1.042484\nName: 2694, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3002564175730808, std values: 0.8675810579602214, min values: -2.6466193392086392, max values: 4.0, median values: -0.4002120252104552, and quantile values: 0.25 -0.886463\n0.50 -0.400212\n0.75 0.253148\nName: 2695, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7755006705359915, std values: 1.215461692283457, min values: -3.1386665508340674, max values: 2.9078251235230463, median values: -0.8003822825234065, and quantile values: 0.25 -1.843019\n0.50 -0.800382\n0.75 0.126855\nName: 2696, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1501532898709893, std values: 0.9397639848634448, min values: -2.8451834694312192, max values: 3.336438412828754, median values: -0.2738827910493792, and quantile values: 0.25 -0.849140\n0.50 -0.273883\n0.75 0.440412\nName: 2697, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11063376534541057, std values: 0.8383342260635128, min values: -2.102760548955074, max values: 5.0, median values: 0.0404662922374029, and quantile values: 0.25 -0.446931\n0.50 0.040466\n0.75 0.615786\nName: 2698, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4717405711882062, std values: 0.8847518327869499, min values: -2.093061547201793, max values: 4.0, median values: 0.5759436018290546, and quantile values: 0.25 -0.090673\n0.50 0.575944\n0.75 1.071076\nName: 2699, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1781420868339966, std values: 0.7901586293844509, min values: -2.662750916816848, max values: 5.0, median values: -0.2911305978760586, and quantile values: 0.25 -0.748674\n0.50 -0.291131\n0.75 0.325238\nName: 2700, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8611264985706673, std values: 1.2032121093424508, min values: -2.697026421440041, max values: 4.0, median values: -0.888368914319379, and quantile values: 0.25 -1.957301\n0.50 -0.888369\n0.75 -0.064073\nName: 2701, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5352179051831362, std values: 0.8403966699314356, min values: -2.891990595045606, max values: 6.0, median values: -0.5942302190112172, and quantile values: 0.25 -1.136907\n0.50 -0.594230\n0.75 -0.010878\nName: 2702, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07039871086569784, std values: 1.048493647760882, min values: -2.541693081833126, max values: 3.784832159836258, median values: 0.1441983036149601, and quantile values: 0.25 -0.602258\n0.50 0.144198\n0.75 0.825185\nName: 2703, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18424451410078685, std values: 0.9235658239321326, min values: -2.221075353514828, max values: 3.163266084685921, median values: -0.1924796136510004, and quantile values: 0.25 -0.86343\n0.50 -0.19248\n0.75 0.44049\nName: 2704, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4048880126651219, std values: 0.9267117027413425, min values: -3.3690402064071137, max values: 3.434669824302974, median values: 0.4959299927671242, and quantile values: 0.25 -0.177237\n0.50 0.495930\n0.75 1.106749\nName: 2705, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43043914297479025, std values: 0.9809977935832137, min values: -2.5276070053531696, max values: 5.0, median values: 0.4275567609342942, and quantile values: 0.25 -0.311951\n0.50 0.427557\n0.75 1.223294\nName: 2706, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3639870548055498, std values: 1.0432143661646056, min values: -1.976101653356596, max values: 3.0, median values: 0.2843566028571389, and quantile values: 0.25 -0.472263\n0.50 0.284357\n0.75 1.268268\nName: 2707, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3339851579684363, std values: 0.9844604307671408, min values: -2.6072570508709387, max values: 4.0, median values: -0.266735784899854, and quantile values: 0.25 -0.966567\n0.50 -0.266736\n0.75 0.311448\nName: 2708, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4139350892469408, std values: 0.8841744107244474, min values: -2.2915911556076085, max values: 3.8226908388056136, median values: -0.532128648316363, and quantile values: 0.25 -1.102339\n0.50 -0.532129\n0.75 0.174601\nName: 2709, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08298418058920903, std values: 0.8360985501214973, min values: -2.087919489660226, max values: 4.0, median values: -0.1940688994485448, and quantile values: 0.25 -0.682150\n0.50 -0.194069\n0.75 0.476115\nName: 2710, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.036055806735399036, std values: 0.8844945290947207, min values: -2.4536054974529624, max values: 6.0, median values: -0.1361886343040492, and quantile values: 0.25 -0.733308\n0.50 -0.136189\n0.75 0.582404\nName: 2711, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2655763274768999, std values: 0.8377011235290549, min values: -2.45229857681487, max values: 3.216771431244405, median values: -0.3034500439854857, and quantile values: 0.25 -0.930187\n0.50 -0.303450\n0.75 0.288373\nName: 2712, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3460617372163824, std values: 1.083184871276776, min values: -2.838932175687192, max values: 4.0, median values: -0.1136787993218923, and quantile values: 0.25 -1.015697\n0.50 -0.113679\n0.75 0.360674\nName: 2713, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5099761108022952, std values: 1.001196351203014, min values: -2.256861992414319, max values: 3.528773265847577, median values: -0.7141630764605703, and quantile values: 0.25 -1.323289\n0.50 -0.714163\n0.75 0.163448\nName: 2714, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3351602101136927, std values: 0.8181962071123873, min values: -2.8680719719444903, max values: 3.627976272701048, median values: 0.3563217156500584, and quantile values: 0.25 -0.214738\n0.50 0.356322\n0.75 0.859218\nName: 2715, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2537132737396529, std values: 0.8606678514572546, min values: -2.622709665346679, max values: 3.867701659180865, median values: 0.3536461741374041, and quantile values: 0.25 -0.188701\n0.50 0.353646\n0.75 0.797957\nName: 2716, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27673052670881065, std values: 0.8059463594328119, min values: -2.1227739687253626, max values: 3.071353155688046, median values: 0.3000778472728145, and quantile values: 0.25 -0.256673\n0.50 0.300078\n0.75 0.762117\nName: 2717, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25685001604937485, std values: 0.7802213798928376, min values: -2.087432639025188, max values: 4.0, median values: 0.2514000397508234, and quantile values: 0.25 -0.232867\n0.50 0.251400\n0.75 0.763075\nName: 2718, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3060936636121517, std values: 0.9273888816970037, min values: -2.0884920198234647, max values: 3.336438412828754, median values: 0.1679291608513628, and quantile values: 0.25 -0.339644\n0.50 0.167929\n0.75 0.912672\nName: 2719, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22768333731343424, std values: 0.75167512209531, min values: -2.096272675358738, max values: 3.3337116327022187, median values: -0.3179867176837921, and quantile values: 0.25 -0.717139\n0.50 -0.317987\n0.75 0.189375\nName: 2720, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3313563878113333, std values: 0.7843098407512457, min values: -2.662750916816848, max values: 5.0, median values: 0.4172894413546599, and quantile values: 0.25 -0.182856\n0.50 0.417289\n0.75 0.877828\nName: 2721, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.048350952398174725, std values: 1.068003847142159, min values: -2.842043939794492, max values: 3.0, median values: 0.069206419778393, and quantile values: 0.25 -0.554952\n0.50 0.069206\n0.75 0.788852\nName: 2722, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7699094479010997, std values: 1.0209864744217996, min values: -2.688157591415518, max values: 5.0, median values: 0.8872122433234974, and quantile values: 0.25 0.099996\n0.50 0.887212\n0.75 1.492727\nName: 2723, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.016654219417362708, std values: 0.8786686220008868, min values: -2.264034258932616, max values: 3.455472209455805, median values: -0.0854481992258024, and quantile values: 0.25 -0.612518\n0.50 -0.085448\n0.75 0.592320\nName: 2724, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.362738612165629, std values: 0.9677347298500686, min values: -2.525362520654854, max values: 5.0, median values: -0.411246782452471, and quantile values: 0.25 -1.158737\n0.50 -0.411247\n0.75 0.306248\nName: 2725, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19479161374011544, std values: 0.8863596119446403, min values: -2.807209974165368, max values: 6.0, median values: -0.2400320281952243, and quantile values: 0.25 -0.709792\n0.50 -0.240032\n0.75 0.330192\nName: 2726, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.006023176228166278, std values: 0.8354723460193131, min values: -3.0133870328644434, max values: 3.2936960268109283, median values: -0.0280662442677023, and quantile values: 0.25 -0.475313\n0.50 -0.028066\n0.75 0.511018\nName: 2727, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6068791691633164, std values: 0.9167646375015165, min values: -2.264034258932616, max values: 4.026668017837955, median values: 0.6460303147366554, and quantile values: 0.25 -0.024953\n0.50 0.646030\n0.75 1.271877\nName: 2728, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2247791834030466, std values: 1.0401851592636222, min values: -2.6466193392086392, max values: 4.0, median values: -0.1714778022942885, and quantile values: 0.25 -1.003148\n0.50 -0.171478\n0.75 0.560163\nName: 2729, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31619118710117156, std values: 0.961924500523084, min values: -2.4902145713898545, max values: 3.258347009006034, median values: -0.3883081553106169, and quantile values: 0.25 -1.095875\n0.50 -0.388308\n0.75 0.341716\nName: 2730, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.026760222152260437, std values: 0.7839913948877538, min values: -2.579723791499676, max values: 4.278004674434932, median values: -0.0384819159420077, and quantile values: 0.25 -0.529924\n0.50 -0.038482\n0.75 0.451297\nName: 2731, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.339097039600566, std values: 0.9044012967728131, min values: -2.315028661118274, max values: 3.9905524164385566, median values: 0.3421252355605801, and quantile values: 0.25 -0.251897\n0.50 0.342125\n0.75 0.855318\nName: 2732, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0931191540230856, std values: 0.932812714254925, min values: -2.5445249319512966, max values: 3.4566816047670264, median values: -0.0695414530634604, and quantile values: 0.25 -0.735327\n0.50 -0.069541\n0.75 0.490259\nName: 2733, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.52990547331681, std values: 1.0455230615093163, min values: -2.9622221028070275, max values: 4.0, median values: -0.529589758906188, and quantile values: 0.25 -1.212348\n0.50 -0.529590\n0.75 0.217582\nName: 2734, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1375308787396776, std values: 0.8072930287478585, min values: -2.8834699678265463, max values: 5.0, median values: -0.1335289073728942, and quantile values: 0.25 -0.676850\n0.50 -0.133529\n0.75 0.371035\nName: 2735, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22574568733676018, std values: 0.7711132928619775, min values: -2.72346435408924, max values: 4.0, median values: 0.2221559485922082, and quantile values: 0.25 -0.271047\n0.50 0.222156\n0.75 0.724866\nName: 2736, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.028356491715058434, std values: 0.9736966178650104, min values: -2.6122411453164007, max values: 4.0, median values: 0.0575062258271206, and quantile values: 0.25 -0.627125\n0.50 0.057506\n0.75 0.704269\nName: 2737, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19715015510277129, std values: 0.810063341326205, min values: -2.007321445101768, max values: 3.0838352979250487, median values: 0.1364388015916149, and quantile values: 0.25 -0.318074\n0.50 0.136439\n0.75 0.686118\nName: 2738, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12073241451807626, std values: 0.847254334605576, min values: -2.21998911803441, max values: 4.0, median values: 0.0411553486582959, and quantile values: 0.25 -0.456802\n0.50 0.041155\n0.75 0.656426\nName: 2739, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20636269035353436, std values: 0.776642507758561, min values: -2.5832619696830608, max values: 6.0, median values: 0.2399027781277322, and quantile values: 0.25 -0.310314\n0.50 0.239903\n0.75 0.721701\nName: 2740, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15792367370194615, std values: 1.4274837792968342, min values: -2.769191083399913, max values: 3.528773265847577, median values: 0.0490849344570147, and quantile values: 0.25 -1.315529\n0.50 0.049085\n0.75 1.032305\nName: 2741, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09211659477492173, std values: 0.8035562216080581, min values: -2.0085619686347487, max values: 5.0, median values: -0.1875906721182312, and quantile values: 0.25 -0.683332\n0.50 -0.187591\n0.75 0.462188\nName: 2742, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06339712767455344, std values: 0.9113049917691569, min values: -2.933035609461076, max values: 5.0, median values: -0.0510525152973946, and quantile values: 0.25 -0.634131\n0.50 -0.051053\n0.75 0.526835\nName: 2743, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4158315059975451, std values: 0.9366573548022712, min values: -2.5293911731823453, max values: 3.9905524164385566, median values: -0.4574130259286156, and quantile values: 0.25 -0.972845\n0.50 -0.457413\n0.75 0.160718\nName: 2744, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4615314696163315, std values: 1.0926097728330075, min values: -2.8246479422601736, max values: 5.0, median values: 0.5271251304014, and quantile values: 0.25 -0.252068\n0.50 0.527125\n0.75 1.350479\nName: 2745, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17685165166501043, std values: 0.8342122042132684, min values: -2.0884920198234647, max values: 3.867701659180865, median values: -0.2909033575486766, and quantile values: 0.25 -0.801823\n0.50 -0.290903\n0.75 0.370428\nName: 2746, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4820691113433276, std values: 0.8207368849757867, min values: -2.299460330888208, max values: 4.0, median values: 0.5398520688502533, and quantile values: 0.25 -0.049674\n0.50 0.539852\n0.75 1.020358\nName: 2747, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3745948488033175, std values: 0.931462301528938, min values: -2.6652153608723106, max values: 5.0, median values: -0.4786838831074388, and quantile values: 0.25 -1.027989\n0.50 -0.478684\n0.75 0.178937\nName: 2748, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1408903601949362, std values: 0.830339391320352, min values: -2.300042081328127, max values: 4.0, median values: -0.2388417417892017, and quantile values: 0.25 -0.730788\n0.50 -0.238842\n0.75 0.389150\nName: 2749, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21795986738064052, std values: 0.8074901512437528, min values: -2.111892494706718, max values: 3.1106274661862763, median values: 0.1754606084334297, and quantile values: 0.25 -0.296911\n0.50 0.175461\n0.75 0.722498\nName: 2750, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1926397854421115, std values: 0.7948972892659687, min values: -2.7314147016889114, max values: 3.1047159712539405, median values: 0.2462156888666472, and quantile values: 0.25 -0.356850\n0.50 0.246216\n0.75 0.721425\nName: 2751, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12292153281958668, std values: 0.9311327008842231, min values: -2.693453432157769, max values: 3.0, median values: -0.1414161460636819, and quantile values: 0.25 -0.674524\n0.50 -0.141416\n0.75 0.477942\nName: 2752, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3726930305972309, std values: 0.7526277819908808, min values: -2.27710446206836, max values: 3.627976272701048, median values: 0.3208718202486458, and quantile values: 0.25 -0.103515\n0.50 0.320872\n0.75 0.843428\nName: 2753, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2017152577877983, std values: 0.8997478987857696, min values: -2.101255482180127, max values: 3.9905524164385566, median values: -0.3147813889853649, and quantile values: 0.25 -0.854578\n0.50 -0.314781\n0.75 0.365934\nName: 2754, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0027308184074689478, std values: 1.037643627518741, min values: -2.634919142586459, max values: 6.0, median values: 0.0817718859823399, and quantile values: 0.25 -0.673038\n0.50 0.081772\n0.75 0.653321\nName: 2755, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14205295555344816, std values: 1.132298507110931, min values: -2.92272757463548, max values: 6.0, median values: -0.0597683355775255, and quantile values: 0.25 -0.745145\n0.50 -0.059768\n0.75 0.588058\nName: 2756, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5158638831718723, std values: 1.039135902798311, min values: -2.841647375415054, max values: 5.0, median values: -0.5255067844109697, and quantile values: 0.25 -1.340129\n0.50 -0.525507\n0.75 0.219898\nName: 2757, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36440659672566494, std values: 0.8744990055138531, min values: -2.055731470671593, max values: 5.0, median values: -0.4553044435786069, and quantile values: 0.25 -1.069375\n0.50 -0.455304\n0.75 0.207067\nName: 2758, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1731561924068659, std values: 0.7656916511803905, min values: -2.687282238908512, max values: 4.278004674434932, median values: 0.129118654590082, and quantile values: 0.25 -0.332414\n0.50 0.129119\n0.75 0.672658\nName: 2759, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22093571374603443, std values: 0.9853434003694544, min values: -3.228456465836797, max values: 3.1106274661862763, median values: -0.1571521585605446, and quantile values: 0.25 -0.965813\n0.50 -0.157152\n0.75 0.498096\nName: 2760, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4853374995672066, std values: 0.9358503345972421, min values: -2.5825978442440407, max values: 6.0, median values: -0.6592175206738367, and quantile values: 0.25 -1.181182\n0.50 -0.659218\n0.75 0.070283\nName: 2761, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4143734464563097, std values: 0.8251670908144607, min values: -2.537532416095589, max values: 3.02009942896863, median values: -0.5054138234967684, and quantile values: 0.25 -1.059919\n0.50 -0.505414\n0.75 0.130406\nName: 2762, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.029625765018285215, std values: 0.8988949275993373, min values: -2.541693081833126, max values: 4.026668017837955, median values: 0.0060268351237693, and quantile values: 0.25 -0.516486\n0.50 0.006027\n0.75 0.580245\nName: 2763, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.015606329128479, std values: 0.8059453001653932, min values: -3.074005993202373, max values: 3.2936960268109283, median values: -0.076318934341835, and quantile values: 0.25 -0.563969\n0.50 -0.076319\n0.75 0.508747\nName: 2764, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1616772744225987, std values: 0.9922858560359481, min values: -2.5743883495350026, max values: 5.0, median values: 0.2144563960894251, and quantile values: 0.25 -0.371795\n0.50 0.214456\n0.75 0.797625\nName: 2765, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06567565440568218, std values: 1.0113132400834586, min values: -3.00972886875607, max values: 3.670892362631932, median values: 0.0018726743825618, and quantile values: 0.25 -0.604276\n0.50 0.001873\n0.75 0.770086\nName: 2766, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3803205128609292, std values: 0.8624710125655721, min values: -2.891990595045606, max values: 6.0, median values: -0.3934903201573382, and quantile values: 0.25 -0.938496\n0.50 -0.393490\n0.75 0.147204\nName: 2767, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6607293678656583, std values: 0.9467166739440709, min values: -3.2960357033722465, max values: 3.281452258958016, median values: -0.8428208072178893, and quantile values: 0.25 -1.415989\n0.50 -0.842821\n0.75 -0.051108\nName: 2768, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15123971203825795, std values: 0.8203935841722625, min values: -2.6117120822772133, max values: 5.0, median values: 0.1987016225895833, and quantile values: 0.25 -0.400314\n0.50 0.198702\n0.75 0.717436\nName: 2769, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3918504711908819, std values: 1.023796083067331, min values: -2.510124273981921, max values: 3.5908526919299577, median values: 0.4484114285025229, and quantile values: 0.25 -0.317640\n0.50 0.448411\n0.75 1.256962\nName: 2770, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1333944670062203, std values: 1.0682024673496522, min values: -2.6404955031131814, max values: 5.0, median values: 0.0401185132392088, and quantile values: 0.25 -0.563453\n0.50 0.040119\n0.75 0.829401\nName: 2771, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27489761700619886, std values: 0.8401419397763706, min values: -2.6493715640499063, max values: 3.3636961113187773, median values: 0.3109273449187293, and quantile values: 0.25 -0.260719\n0.50 0.310927\n0.75 0.801711\nName: 2772, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3148576492684728, std values: 0.8142056662963761, min values: -2.5631847770497496, max values: 4.0, median values: 0.2235879529987538, and quantile values: 0.25 -0.224895\n0.50 0.223588\n0.75 0.792794\nName: 2773, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3711541505774724, std values: 1.000228324735003, min values: -2.043287858674072, max values: 3.060952636712705, median values: 0.4162381141258698, and quantile values: 0.25 -0.425538\n0.50 0.416238\n0.75 1.209711\nName: 2774, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31157109488038004, std values: 0.8356096061474619, min values: -2.8531572940820533, max values: 3.1395741599540568, median values: 0.3820717891487659, and quantile values: 0.25 -0.191011\n0.50 0.382072\n0.75 0.883959\nName: 2775, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0916531845026771, std values: 0.7949621004496606, min values: -2.439930808627264, max values: 4.0, median values: -0.0923292139095418, and quantile values: 0.25 -0.638675\n0.50 -0.092329\n0.75 0.431181\nName: 2776, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1983014807128234, std values: 0.7843114675184151, min values: -2.060052319546624, max values: 3.415255285860171, median values: 0.2391731067148934, and quantile values: 0.25 -0.293229\n0.50 0.239173\n0.75 0.701427\nName: 2777, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49062743447642543, std values: 0.8558083480889103, min values: -3.045947208515832, max values: 6.0, median values: 0.5465227442152023, and quantile values: 0.25 -0.048185\n0.50 0.546523\n0.75 1.054711\nName: 2778, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23938070804117803, std values: 0.8817771179392122, min values: -2.033560884388475, max values: 2.909025160955454, median values: -0.3587583495353258, and quantile values: 0.25 -0.931782\n0.50 -0.358758\n0.75 0.339867\nName: 2779, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13929111263523294, std values: 0.8474403598495965, min values: -2.108828940494985, max values: 3.438667023696733, median values: -0.2196444130515085, and quantile values: 0.25 -0.722069\n0.50 -0.219644\n0.75 0.359581\nName: 2780, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5047405827152726, std values: 0.8552620022040325, min values: -2.6072570508709387, max values: 4.0, median values: -0.646098175718963, and quantile values: 0.25 -1.116575\n0.50 -0.646098\n0.75 0.064349\nName: 2781, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14527691605561344, std values: 1.4393387982676038, min values: -2.6820581866633817, max values: 3.022367128892113, median values: 0.2189376737830737, and quantile values: 0.25 -1.787394\n0.50 0.218938\n0.75 0.964382\nName: 2782, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34137909599043614, std values: 0.8066992957302904, min values: -2.087432639025188, max values: 4.0, median values: -0.4043747614038046, and quantile values: 0.25 -0.974083\n0.50 -0.404375\n0.75 0.200431\nName: 2783, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30176355740988864, std values: 0.9008088537303822, min values: -2.09925610156575, max values: 2.70271304623503, median values: -0.3562639894576018, and quantile values: 0.25 -0.998539\n0.50 -0.356264\n0.75 0.294321\nName: 2784, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42519984473427686, std values: 0.7450541777528163, min values: -2.025405408182953, max values: 3.518664430018096, median values: 0.499835951415443, and quantile values: 0.25 -0.057534\n0.50 0.499836\n0.75 0.892796\nName: 2785, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10295478642732467, std values: 0.9891377292184759, min values: -2.622709665346679, max values: 3.477886732511886, median values: -0.1558121933565813, and quantile values: 0.25 -0.828478\n0.50 -0.155812\n0.75 0.572156\nName: 2786, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3713620691024265, std values: 0.9896266248059515, min values: -2.558791007225312, max values: 3.784832159836258, median values: -0.4899172087384206, and quantile values: 0.25 -1.042768\n0.50 -0.489917\n0.75 0.270019\nName: 2787, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3227779473781166, std values: 0.900952915703795, min values: -2.842989614395848, max values: 5.0, median values: -0.3738369882742568, and quantile values: 0.25 -0.930907\n0.50 -0.373837\n0.75 0.254115\nName: 2788, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5215856008007302, std values: 0.8485191832867555, min values: -1.951714504333573, max values: 5.0, median values: 0.591806906569729, and quantile values: 0.25 -0.024705\n0.50 0.591807\n0.75 1.059902\nName: 2789, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.023618093752516344, std values: 1.415630478979701, min values: -2.949186837165601, max values: 4.0, median values: 0.0838728226457023, and quantile values: 0.25 -1.126163\n0.50 0.083873\n0.75 1.119843\nName: 2790, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2184903218611413, std values: 1.037476970622655, min values: -2.745904427753044, max values: 5.0, median values: -0.1555891920911201, and quantile values: 0.25 -1.028269\n0.50 -0.155589\n0.75 0.562354\nName: 2791, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2542953670100664, std values: 0.8733593766597818, min values: -2.5631847770497496, max values: 4.0, median values: -0.4245411916435844, and quantile values: 0.25 -0.880332\n0.50 -0.424541\n0.75 0.278025\nName: 2792, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6307140743386578, std values: 0.9461844643176396, min values: -2.226424194672579, max values: 4.0, median values: 0.650549577247483, and quantile values: 0.25 -0.083954\n0.50 0.650550\n0.75 1.379563\nName: 2793, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18063066135180955, std values: 1.090625201961317, min values: -2.102760548955074, max values: 3.496479817235339, median values: 0.1502673080911074, and quantile values: 0.25 -0.710543\n0.50 0.150267\n0.75 0.971652\nName: 2794, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0036206197977930728, std values: 0.8359102696154636, min values: -2.6652153608723106, max values: 3.867701659180865, median values: -0.0509973649247534, and quantile values: 0.25 -0.627949\n0.50 -0.050997\n0.75 0.574605\nName: 2795, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2642962453841234, std values: 0.7251433598801283, min values: -2.584593648802428, max values: 3.0362913622068968, median values: 0.2950233883808208, and quantile values: 0.25 -0.189158\n0.50 0.295023\n0.75 0.691914\nName: 2796, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08021591277144001, std values: 0.7650730699362228, min values: -2.1355258137915776, max values: 4.0, median values: -0.0853652794159756, and quantile values: 0.25 -0.585147\n0.50 -0.085365\n0.75 0.377220\nName: 2797, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24628710125685957, std values: 0.8397856272096952, min values: -2.0013698907234683, max values: 3.4217036547572275, median values: -0.343527131061017, and quantile values: 0.25 -0.909877\n0.50 -0.343527\n0.75 0.314185\nName: 2798, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2169457152858566, std values: 1.0316685648280386, min values: -3.0223671288921072, max values: 3.784832159836258, median values: -0.2276354145936912, and quantile values: 0.25 -0.996999\n0.50 -0.227635\n0.75 0.514850\nName: 2799, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5818308036736926, std values: 0.9748358138204737, min values: -2.3333312203517527, max values: 3.415255285860171, median values: 0.6384485765738294, and quantile values: 0.25 -0.049067\n0.50 0.638449\n0.75 1.215282\nName: 2800, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7249115845481715, std values: 1.1490510295842777, min values: -2.105967784650795, max values: 4.0, median values: 0.6949414921868614, and quantile values: 0.25 -0.150908\n0.50 0.694941\n0.75 1.636491\nName: 2801, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05548563639611198, std values: 0.8700105159774655, min values: -2.087432639025188, max values: 4.0, median values: -0.1062713486460491, and quantile values: 0.25 -0.711890\n0.50 -0.106271\n0.75 0.511457\nName: 2802, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07491398067609659, std values: 0.9355404770995738, min values: -2.769191083399913, max values: 3.0, median values: 0.0618100139449874, and quantile values: 0.25 -0.533459\n0.50 0.061810\n0.75 0.548250\nName: 2803, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12316046853356899, std values: 0.9663064407172499, min values: -2.5879430435308, max values: 3.5021977227593246, median values: -0.2283420252545784, and quantile values: 0.25 -0.918829\n0.50 -0.228342\n0.75 0.546747\nName: 2804, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4347602303647137, std values: 0.9673020890502179, min values: -2.482931728382393, max values: 3.784832159836258, median values: 0.5125560254875607, and quantile values: 0.25 -0.244381\n0.50 0.512556\n0.75 1.138261\nName: 2805, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16853658561831877, std values: 0.7761420878749778, min values: -2.024122085395157, max values: 3.5427287984042666, median values: -0.2571122035081122, and quantile values: 0.25 -0.714208\n0.50 -0.257112\n0.75 0.321379\nName: 2806, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3094416244216293, std values: 1.1179009598237233, min values: -2.7688682710567485, max values: 3.784832159836258, median values: -0.2644535472881652, and quantile values: 0.25 -1.294110\n0.50 -0.264454\n0.75 0.556412\nName: 2807, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16808787112485213, std values: 0.9289468785870579, min values: -2.6668673616981367, max values: 4.0, median values: -0.2099652809533531, and quantile values: 0.25 -0.856281\n0.50 -0.209965\n0.75 0.473152\nName: 2808, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1950298711287296, std values: 0.8532533518481764, min values: -2.5213149333948146, max values: 3.867701659180865, median values: 0.2456473499830491, and quantile values: 0.25 -0.411768\n0.50 0.245647\n0.75 0.784174\nName: 2809, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2798979139420688, std values: 0.9230517362244193, min values: -2.196708653609315, max values: 6.0, median values: 0.3593164324054527, and quantile values: 0.25 -0.424692\n0.50 0.359316\n0.75 1.011453\nName: 2810, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3514336248766527, std values: 0.8858644421848143, min values: -2.510124273981921, max values: 3.390469008396469, median values: -0.4590953748848723, and quantile values: 0.25 -0.951538\n0.50 -0.459095\n0.75 0.228483\nName: 2811, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3333273572588522, std values: 0.9522568534627562, min values: -2.374446373878101, max values: 4.0, median values: -0.4709326773068967, and quantile values: 0.25 -1.068329\n0.50 -0.470933\n0.75 0.281424\nName: 2812, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45542602844822255, std values: 1.0485486581221948, min values: -2.4902145713898545, max values: 3.090297571450676, median values: 0.6127747795560844, and quantile values: 0.25 -0.163120\n0.50 0.612775\n0.75 1.251240\nName: 2813, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19162315637621286, std values: 0.9720598197629085, min values: -3.2266531185902174, max values: 2.9534763778843827, median values: -0.1036504940081126, and quantile values: 0.25 -0.858498\n0.50 -0.103650\n0.75 0.532946\nName: 2814, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.1086024727728336, std values: 1.2161727163183524, min values: -2.727901130262228, max values: 4.0, median values: -1.6733911655889206, and quantile values: 0.25 -2.140406\n0.50 -1.673391\n0.75 -0.090424\nName: 2815, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11695711153092815, std values: 0.8154998666352152, min values: -2.56026492390943, max values: 4.0, median values: -0.0932177055271677, and quantile values: 0.25 -0.734281\n0.50 -0.093218\n0.75 0.493633\nName: 2816, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25154318612877813, std values: 0.9020836376846196, min values: -2.240740315114864, max values: 4.0, median values: -0.330468587743162, and quantile values: 0.25 -0.963778\n0.50 -0.330469\n0.75 0.363400\nName: 2817, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.057071137943823534, std values: 1.2746146722467886, min values: -2.8467638118011016, max values: 5.0, median values: -0.0593574435362118, and quantile values: 0.25 -0.881900\n0.50 -0.059357\n0.75 0.818727\nName: 2818, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22791635692437465, std values: 0.8321362492034836, min values: -2.6685266729136536, max values: 6.0, median values: -0.279914688675585, and quantile values: 0.25 -0.829712\n0.50 -0.279915\n0.75 0.322315\nName: 2819, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1926498148631628, std values: 1.0082429405701208, min values: -2.6660404517971856, max values: 4.0, median values: -0.0390055557605113, and quantile values: 0.25 -0.707993\n0.50 -0.039006\n0.75 0.461545\nName: 2820, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.010029245228843011, std values: 0.9980161323544419, min values: -2.8531572940820533, max values: 6.0, median values: -0.0147616078869666, and quantile values: 0.25 -0.585792\n0.50 -0.014762\n0.75 0.630984\nName: 2821, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15048423612970954, std values: 0.8046712652986977, min values: -2.8121055320525654, max values: 5.0, median values: 0.2279034705895321, and quantile values: 0.25 -0.267164\n0.50 0.227903\n0.75 0.643580\nName: 2822, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31540013054751115, std values: 0.7774452928330332, min values: -2.783691185534105, max values: 3.241738645014612, median values: -0.3925680504045474, and quantile values: 0.25 -0.857475\n0.50 -0.392568\n0.75 0.114732\nName: 2823, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2854011477501957, std values: 1.0095890087038426, min values: -2.608390851963037, max values: 5.0, median values: -0.2096682474367975, and quantile values: 0.25 -0.842132\n0.50 -0.209668\n0.75 0.355232\nName: 2824, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08708542010373195, std values: 0.7477623399172769, min values: -2.0331762695652107, max values: 2.791182017791096, median values: 0.0845467018927422, and quantile values: 0.25 -0.398881\n0.50 0.084547\n0.75 0.548410\nName: 2825, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13827562404084254, std values: 1.0270319921010167, min values: -2.7825548156447035, max values: 6.0, median values: -0.1051305371724624, and quantile values: 0.25 -0.755800\n0.50 -0.105131\n0.75 0.551774\nName: 2826, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3274660229052791, std values: 0.8852436814340923, min values: -2.9029979285382743, max values: 6.0, median values: 0.432560539042771, and quantile values: 0.25 -0.187927\n0.50 0.432561\n0.75 0.911077\nName: 2827, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.059837234289033106, std values: 0.8294737502172694, min values: -2.087432639025188, max values: 4.0, median values: -0.1571043024161589, and quantile values: 0.25 -0.655048\n0.50 -0.157104\n0.75 0.482610\nName: 2828, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42118039608982283, std values: 0.8677347066795392, min values: -1.857043369558948, max values: 5.0, median values: 0.5023757865510905, and quantile values: 0.25 -0.194995\n0.50 0.502376\n0.75 1.080606\nName: 2829, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.029931253345369304, std values: 0.7980127804223793, min values: -2.56026492390943, max values: 4.0, median values: 0.0420108687535776, and quantile values: 0.25 -0.513216\n0.50 0.042011\n0.75 0.551288\nName: 2830, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13825792446383386, std values: 0.9352843766256906, min values: -2.5953860446419177, max values: 5.0, median values: -0.121519793770923, and quantile values: 0.25 -0.687828\n0.50 -0.121520\n0.75 0.444426\nName: 2831, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16227895011019622, std values: 0.8613566724002896, min values: -3.4217036547572723, max values: 3.197902420311553, median values: 0.2152111858144982, and quantile values: 0.25 -0.310320\n0.50 0.215211\n0.75 0.695312\nName: 2832, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.045307623918972785, std values: 0.9992817374281618, min values: -2.169311742921253, max values: 6.0, median values: 0.066639348172791, and quantile values: 0.25 -0.766783\n0.50 0.066639\n0.75 0.883286\nName: 2833, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.025031350007435, std values: 1.3191654702015343, min values: -2.727901130262228, max values: 4.0, median values: -1.6912947810268937, and quantile values: 0.25 -2.140406\n0.50 -1.691295\n0.75 0.145423\nName: 2834, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0902352717789841, std values: 0.9513476941555699, min values: -2.469941537133514, max values: 4.0, median values: -0.1412113815637084, and quantile values: 0.25 -0.862166\n0.50 -0.141211\n0.75 0.556909\nName: 2835, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20679434074173556, std values: 0.7834445193428864, min values: -2.6278943940336483, max values: 4.0, median values: -0.2235637203517126, and quantile values: 0.25 -0.748205\n0.50 -0.223564\n0.75 0.245111\nName: 2836, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15362558540660787, std values: 0.7258775183421714, min values: -2.7314147016889114, max values: 3.721862465295849, median values: -0.2303055071160531, and quantile values: 0.25 -0.632248\n0.50 -0.230306\n0.75 0.256111\nName: 2837, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.016850963781235077, std values: 0.7352563592772139, min values: -1.948531902617236, max values: 3.0, median values: 0.0271846498843391, and quantile values: 0.25 -0.479881\n0.50 0.027185\n0.75 0.470325\nName: 2838, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2604518830507623, std values: 0.7381027520988823, min values: -2.5631960397140583, max values: 4.0, median values: -0.2189860896229995, and quantile values: 0.25 -0.814172\n0.50 -0.218986\n0.75 0.244819\nName: 2839, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3963521079056555, std values: 1.3998508704704034, min values: -2.739804196611005, max values: 6.0, median values: -0.6033835384666837, and quantile values: 0.25 -1.665440\n0.50 -0.603384\n0.75 0.680865\nName: 2840, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5215653028776226, std values: 0.8840188018613427, min values: -2.264034258932616, max values: 3.8226908388056136, median values: 0.6322144460033726, and quantile values: 0.25 -0.129977\n0.50 0.632214\n0.75 1.220900\nName: 2841, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.48370398758345606, std values: 0.8213896126244489, min values: -2.7648443048846945, max values: 3.336438412828754, median values: 0.5576266960742133, and quantile values: 0.25 -0.080065\n0.50 0.557627\n0.75 1.082275\nName: 2842, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10808738289684029, std values: 0.8640561033711824, min values: -2.035794058295153, max values: 4.0, median values: -0.2243634671139432, and quantile values: 0.25 -0.777302\n0.50 -0.224363\n0.75 0.459646\nName: 2843, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8646074858230623, std values: 0.8234561089221117, min values: -2.525881048269423, max values: 3.0, median values: -1.053260777811388, and quantile values: 0.25 -1.486483\n0.50 -1.053261\n0.75 -0.416538\nName: 2844, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27253751214211536, std values: 1.0428120454843934, min values: -2.6320986139293034, max values: 3.0, median values: 0.3648740186207401, and quantile values: 0.25 -0.417350\n0.50 0.364874\n0.75 1.089686\nName: 2845, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27475968381556903, std values: 0.9606443830155522, min values: -3.101800431129944, max values: 6.0, median values: -0.2064148923463884, and quantile values: 0.25 -0.842603\n0.50 -0.206415\n0.75 0.338365\nName: 2846, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15970122514189602, std values: 0.8454960138665254, min values: -2.01378119875672, max values: 5.0, median values: 0.2133248866739514, and quantile values: 0.25 -0.425590\n0.50 0.213325\n0.75 0.734146\nName: 2847, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19855632702373502, std values: 1.2366384834435602, min values: -2.928515832252388, max values: 5.0, median values: 0.432752667950371, and quantile values: 0.25 -0.491525\n0.50 0.432753\n0.75 1.053681\nName: 2848, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.007259366071629461, std values: 0.9294583648596659, min values: -2.038066263511918, max values: 5.0, median values: 0.0292636927195812, and quantile values: 0.25 -0.710705\n0.50 0.029264\n0.75 0.712410\nName: 2849, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3917222057249732, std values: 0.8358208039601873, min values: -2.2552302781310187, max values: 4.0, median values: -0.4681090948779752, and quantile values: 0.25 -1.069025\n0.50 -0.468109\n0.75 0.184709\nName: 2850, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1563485547927584, std values: 0.99064815215967, min values: -2.642042398333877, max values: 3.124705982383484, median values: 0.2592096027882384, and quantile values: 0.25 -0.472386\n0.50 0.259210\n0.75 0.890334\nName: 2851, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3166199624803861, std values: 0.9525680247538169, min values: -2.632854336056873, max values: 3.0, median values: -0.4185215830834555, and quantile values: 0.25 -1.091433\n0.50 -0.418522\n0.75 0.321867\nName: 2852, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.047575284560774124, std values: 0.8342686236022658, min values: -2.2889500134847856, max values: 6.0, median values: -0.0538102354236853, and quantile values: 0.25 -0.605731\n0.50 -0.053810\n0.75 0.505503\nName: 2853, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21770595090381037, std values: 1.056318774522993, min values: -2.4902145713898545, max values: 3.379902545505621, median values: 0.3166694061446082, and quantile values: 0.25 -0.577712\n0.50 0.316669\n0.75 1.099966\nName: 2854, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3073893376259042, std values: 0.873780945024108, min values: -2.4902145713898545, max values: 3.0, median values: -0.3150342324468527, and quantile values: 0.25 -0.887457\n0.50 -0.315034\n0.75 0.222862\nName: 2855, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11047977347854736, std values: 0.817859725403375, min values: -2.4564928597243227, max values: 4.0, median values: 0.047215642658447, and quantile values: 0.25 -0.433936\n0.50 0.047216\n0.75 0.645267\nName: 2856, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2876638212018579, std values: 0.8136699308569959, min values: -2.5213149333948146, max values: 3.2266531185902125, median values: 0.2868809573224005, and quantile values: 0.25 -0.244624\n0.50 0.286881\n0.75 0.773656\nName: 2857, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3975841732644653, std values: 0.8159601885360263, min values: -2.2915911556076085, max values: 3.670892362631932, median values: -0.5092577420567646, and quantile values: 0.25 -0.980520\n0.50 -0.509258\n0.75 0.051309\nName: 2858, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20204620547748914, std values: 0.8251337921520541, min values: -2.688157591415518, max values: 5.0, median values: -0.3460697906510948, and quantile values: 0.25 -0.777823\n0.50 -0.346070\n0.75 0.293717\nName: 2859, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27550512194953236, std values: 0.88552849035514, min values: -2.8282523283494294, max values: 3.0, median values: -0.3517770206540112, and quantile values: 0.25 -0.851177\n0.50 -0.351777\n0.75 0.292366\nName: 2860, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7219163036155519, std values: 1.0160783592748996, min values: -2.0664852352279466, max values: 6.0, median values: 0.7397734257276998, and quantile values: 0.25 -0.032527\n0.50 0.739773\n0.75 1.561335\nName: 2861, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23759839810984035, std values: 0.9013353288266743, min values: -2.1775880058603043, max values: 3.030805337148847, median values: -0.3387902210312833, and quantile values: 0.25 -0.952485\n0.50 -0.338790\n0.75 0.377982\nName: 2862, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14191180858985636, std values: 1.0951540454541113, min values: -2.087432639025188, max values: 4.243835016543704, median values: 0.0724321377003072, and quantile values: 0.25 -0.732191\n0.50 0.072432\n0.75 0.895844\nName: 2863, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4145753699619391, std values: 1.062321406877923, min values: -2.684072796644972, max values: 6.0, median values: -0.4261850179502426, and quantile values: 0.25 -1.244803\n0.50 -0.426185\n0.75 0.289666\nName: 2864, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26264865523668346, std values: 1.1006723912485794, min values: -2.486556664247513, max values: 3.569037956734876, median values: -0.3814616820815973, and quantile values: 0.25 -1.166538\n0.50 -0.381462\n0.75 0.549371\nName: 2865, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21121429495316238, std values: 0.889291253547623, min values: -2.620939317041317, max values: 4.0, median values: -0.2678269494980593, and quantile values: 0.25 -0.817898\n0.50 -0.267827\n0.75 0.284156\nName: 2866, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6139166963916947, std values: 1.0023893414733078, min values: -2.8950998983304985, max values: 5.0, median values: -0.773061765968602, and quantile values: 0.25 -1.447662\n0.50 -0.773062\n0.75 0.050446\nName: 2867, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11827755842969481, std values: 0.7562872506131808, min values: -2.245410141132184, max values: 3.258347009006034, median values: 0.0827397859601974, and quantile values: 0.25 -0.397602\n0.50 0.082740\n0.75 0.599031\nName: 2868, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6641095091948809, std values: 1.102104112962061, min values: -2.92272757463548, max values: 6.0, median values: 0.7477051431439652, and quantile values: 0.25 0.136630\n0.50 0.747705\n0.75 1.378773\nName: 2869, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10028598032464052, std values: 0.8401009769361283, min values: -2.124111428422639, max values: 3.867701659180865, median values: -0.1344112669304242, and quantile values: 0.25 -0.646879\n0.50 -0.134411\n0.75 0.388563\nName: 2870, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3380660899133157, std values: 0.8371627971277301, min values: -2.620939317041317, max values: 3.760287110694155, median values: 0.4279792504445263, and quantile values: 0.25 -0.231764\n0.50 0.427979\n0.75 0.958751\nName: 2871, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5687431816548336, std values: 1.0671572995813812, min values: -1.946696901846344, max values: 3.169414082461771, median values: 0.5678718189608204, and quantile values: 0.25 -0.266774\n0.50 0.567872\n0.75 1.504561\nName: 2872, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13754462132043804, std values: 1.0083945551112292, min values: -2.642042398333877, max values: 3.1888787873512885, median values: 0.22294638372537, and quantile values: 0.25 -0.528513\n0.50 0.222946\n0.75 0.876716\nName: 2873, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3004013512585514, std values: 1.0135094200232106, min values: -2.6800544037614658, max values: 4.0, median values: -0.3025850506722244, and quantile values: 0.25 -0.926501\n0.50 -0.302585\n0.75 0.356239\nName: 2874, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0874774038992071, std values: 0.766681392521994, min values: -2.3922473154067863, max values: 5.0, median values: 0.157367515665879, and quantile values: 0.25 -0.427496\n0.50 0.157368\n0.75 0.586915\nName: 2875, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07749503699588593, std values: 0.7802864890763215, min values: -2.1355258137915776, max values: 5.0, median values: -0.1230248079193862, and quantile values: 0.25 -0.596098\n0.50 -0.123025\n0.75 0.402005\nName: 2876, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16268112504874804, std values: 1.0845462045201333, min values: -2.638186942019407, max values: 4.0, median values: -0.2308302045131109, and quantile values: 0.25 -0.948122\n0.50 -0.230830\n0.75 0.616452\nName: 2877, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6001165680451782, std values: 0.9606993892543962, min values: -3.12109453895821, max values: 3.135426854633533, median values: -0.7768545958628198, and quantile values: 0.25 -1.377142\n0.50 -0.776855\n0.75 0.039220\nName: 2878, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04163433643776504, std values: 0.8785474983215353, min values: -2.064161388650449, max values: 5.0, median values: 0.0640451197610817, and quantile values: 0.25 -0.600908\n0.50 0.064045\n0.75 0.669025\nName: 2879, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22199482531997863, std values: 0.8682994194377763, min values: -2.321510952509234, max values: 3.5581019918925243, median values: -0.3218175199607083, and quantile values: 0.25 -0.899293\n0.50 -0.321818\n0.75 0.380318\nName: 2880, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0411181975008337, std values: 1.2254063732682479, min values: -2.8834699678265463, max values: 5.0, median values: 0.161963556250408, and quantile values: 0.25 -0.644843\n0.50 0.161964\n0.75 0.735003\nName: 2881, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41619901953199245, std values: 1.1481509593970336, min values: -2.933035609461076, max values: 5.0, median values: -0.3287530639168269, and quantile values: 0.25 -1.156198\n0.50 -0.328753\n0.75 0.362226\nName: 2882, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5126217751639509, std values: 1.1261325351031468, min values: -2.919359491767569, max values: 5.0, median values: 0.6839585845645877, and quantile values: 0.25 -0.233292\n0.50 0.683959\n0.75 1.333135\nName: 2883, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45368553303394593, std values: 0.8146104668675131, min values: -2.693453432157769, max values: 3.1166497049712243, median values: 0.504657857790329, and quantile values: 0.25 -0.082132\n0.50 0.504658\n0.75 1.010445\nName: 2884, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30137373816057156, std values: 1.0096538176276377, min values: -2.5953860446419177, max values: 3.760287110694155, median values: -0.471400964154029, and quantile values: 0.25 -1.059091\n0.50 -0.471401\n0.75 0.261928\nName: 2885, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7313117730166362, std values: 1.0657501838819734, min values: -3.062179113294277, max values: 3.405671179043623, median values: 0.8230470941810452, and quantile values: 0.25 0.030518\n0.50 0.823047\n0.75 1.575411\nName: 2886, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31148779463402587, std values: 1.0990097533272862, min values: -2.92272757463548, max values: 6.0, median values: -0.1495713759066539, and quantile values: 0.25 -0.967170\n0.50 -0.149571\n0.75 0.412937\nName: 2887, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2113216254462317, std values: 1.184994481023727, min values: -2.521882829270847, max values: 4.0, median values: 0.1333817821208251, and quantile values: 0.25 -0.722928\n0.50 0.133382\n0.75 1.157558\nName: 2888, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3677454458963706, std values: 0.9146642646721249, min values: -2.673549169958716, max values: 6.0, median values: -0.4334430873567335, and quantile values: 0.25 -1.065132\n0.50 -0.433443\n0.75 0.279310\nName: 2889, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49938266538336495, std values: 0.7904426837303652, min values: -2.2689677672776978, max values: 3.397048482165858, median values: 0.4746348774017399, and quantile values: 0.25 0.007989\n0.50 0.474635\n0.75 0.988434\nName: 2890, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1392242505736335, std values: 0.7932350708029863, min values: -2.6635706018350787, max values: 3.867701659180865, median values: -0.1604072267689662, and quantile values: 0.25 -0.675484\n0.50 -0.160407\n0.75 0.333757\nName: 2891, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1494970991209666, std values: 0.8919108621237357, min values: -2.769191083399913, max values: 3.3760121766849016, median values: -0.2273213572052436, and quantile values: 0.25 -0.661006\n0.50 -0.227321\n0.75 0.369027\nName: 2892, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15015644010129778, std values: 0.8921440512623151, min values: -2.869671295224012, max values: 6.0, median values: 0.2617075398164009, and quantile values: 0.25 -0.338290\n0.50 0.261708\n0.75 0.709154\nName: 2893, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3827379115243288, std values: 0.9557669136162259, min values: -3.1386665508340674, max values: 2.750263537173646, median values: -0.4147472305627814, and quantile values: 0.25 -1.126772\n0.50 -0.414747\n0.75 0.304633\nName: 2894, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32504941353563577, std values: 0.9993510121482745, min values: -2.9265160609644223, max values: 6.0, median values: -0.3106366478174443, and quantile values: 0.25 -0.867452\n0.50 -0.310637\n0.75 0.268049\nName: 2895, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6409609008605653, std values: 0.9665754873727925, min values: -2.088073670211855, max values: 5.0, median values: 0.7603301393497578, and quantile values: 0.25 -0.075695\n0.50 0.760330\n0.75 1.366276\nName: 2896, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3489730321453626, std values: 1.0227126365496766, min values: -2.92272757463548, max values: 6.0, median values: 0.5182113039192865, and quantile values: 0.25 -0.150156\n0.50 0.518211\n0.75 1.015617\nName: 2897, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2588289362117387, std values: 0.9625695538709348, min values: -2.0239384553809985, max values: 6.0, median values: 0.1938446594067474, and quantile values: 0.25 -0.491605\n0.50 0.193845\n0.75 0.982259\nName: 2898, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09720243792498125, std values: 0.8626875501109513, min values: -2.57895707818966, max values: 6.0, median values: -0.1384404486657318, and quantile values: 0.25 -0.665253\n0.50 -0.138440\n0.75 0.497819\nName: 2899, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.020688021625983127, std values: 0.8818581971299989, min values: -3.5186644300181262, max values: 2.8170694285457287, median values: 0.0549410177810675, and quantile values: 0.25 -0.616658\n0.50 0.054941\n0.75 0.690970\nName: 2900, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12228893307683449, std values: 0.8926492697491196, min values: -2.442256129120324, max values: 6.0, median values: 0.0139628854133872, and quantile values: 0.25 -0.507725\n0.50 0.013963\n0.75 0.718791\nName: 2901, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2650061175422922, std values: 0.7465784826580881, min values: -2.264034258932616, max values: 4.243835016543704, median values: 0.32369933036862, and quantile values: 0.25 -0.214654\n0.50 0.323699\n0.75 0.736934\nName: 2902, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.021723006419337904, std values: 0.8111311665081042, min values: -2.4536054974529624, max values: 6.0, median values: -0.0023398180770957, and quantile values: 0.25 -0.523273\n0.50 -0.002340\n0.75 0.521748\nName: 2903, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22040310624471338, std values: 1.1154994991847722, min values: -2.6270253558526173, max values: 4.0, median values: -0.1763247147222538, and quantile values: 0.25 -1.125955\n0.50 -0.176325\n0.75 0.573100\nName: 2904, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6333522250266244, std values: 0.9397044113506721, min values: -3.236860296211546, max values: 3.319774799707247, median values: 0.6588902537249169, and quantile values: 0.25 0.102432\n0.50 0.658890\n0.75 1.230581\nName: 2905, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23730337105636282, std values: 0.8676005966161833, min values: -2.2065783767301927, max values: 6.0, median values: -0.3209713540592932, and quantile values: 0.25 -0.879793\n0.50 -0.320971\n0.75 0.337253\nName: 2906, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1975565516599535, std values: 0.8298587186414631, min values: -1.9855128425469304, max values: 3.110498035652072, median values: 0.131454578338073, and quantile values: 0.25 -0.343702\n0.50 0.131455\n0.75 0.646675\nName: 2907, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8161715775407252, std values: 1.2280917421271473, min values: -2.73836943861057, max values: 3.760287110694155, median values: 0.8774024683135337, and quantile values: 0.25 -0.092637\n0.50 0.877402\n0.75 1.829052\nName: 2908, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6353104561846291, std values: 1.4058992567865847, min values: -2.622709665346679, max values: 3.5427287984042666, median values: 0.8701403180434936, and quantile values: 0.25 -0.475097\n0.50 0.870140\n0.75 1.788347\nName: 2909, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10021504059858474, std values: 1.0410985710301253, min values: -2.6652153608723106, max values: 5.0, median values: 0.087493741962575, and quantile values: 0.25 -0.631013\n0.50 0.087494\n0.75 0.814370\nName: 2910, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22989271747928633, std values: 0.7221142631571883, min values: -1.7911962975838789, max values: 3.281452258958016, median values: 0.288918984974724, and quantile values: 0.25 -0.258823\n0.50 0.288919\n0.75 0.743145\nName: 2911, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3690808755281454, std values: 0.7949818357789464, min values: -1.9121585889633128, max values: 3.247416277295021, median values: 0.3885885081713597, and quantile values: 0.25 -0.118780\n0.50 0.388589\n0.75 0.871142\nName: 2912, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3114360868052761, std values: 0.8227928679062952, min values: -3.0133870328644434, max values: 3.455472209455805, median values: -0.2994203207942595, and quantile values: 0.25 -0.884658\n0.50 -0.299420\n0.75 0.254304\nName: 2913, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08418951840443283, std values: 0.6724878131123975, min values: -2.100754849305273, max values: 2.602647023716372, median values: 0.0661539293728386, and quantile values: 0.25 -0.323984\n0.50 0.066154\n0.75 0.465684\nName: 2914, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33327338478923263, std values: 1.1119702087106034, min values: -2.124349157675412, max values: 3.258347009006034, median values: 0.2845286602026318, and quantile values: 0.25 -0.571764\n0.50 0.284529\n0.75 1.343656\nName: 2915, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05005223092940955, std values: 1.112871679193671, min values: -2.0636163886830534, max values: 3.434669824302974, median values: 0.1080261478908874, and quantile values: 0.25 -0.892189\n0.50 0.108026\n0.75 0.885392\nName: 2916, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1942817129325255, std values: 0.9694512171254094, min values: -2.240740315114864, max values: 4.0, median values: 0.1898800105559741, and quantile values: 0.25 -0.544829\n0.50 0.189880\n0.75 0.965620\nName: 2917, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06417667722325214, std values: 0.7827360200545563, min values: -2.8680719719444903, max values: 3.147276669305989, median values: 0.0242513785301449, and quantile values: 0.25 -0.556687\n0.50 0.024251\n0.75 0.449623\nName: 2918, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18616504373012038, std values: 0.8647620446353106, min values: -2.196708653609315, max values: 6.0, median values: 0.1073613604375735, and quantile values: 0.25 -0.389714\n0.50 0.107361\n0.75 0.761492\nName: 2919, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4397123496902902, std values: 0.8865052051674218, min values: -2.116060046971362, max values: 4.0, median values: 0.5344120684523107, and quantile values: 0.25 -0.192335\n0.50 0.534412\n0.75 1.094987\nName: 2920, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.393888124466803, std values: 1.0545808735638142, min values: -2.589966702820638, max values: 6.0, median values: 0.3500490169792021, and quantile values: 0.25 -0.387900\n0.50 0.350049\n0.75 1.103199\nName: 2921, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0735442406395277, std values: 1.1079113669803562, min values: -3.0148736195915964, max values: 3.5427287984042666, median values: -0.0792860551247991, and quantile values: 0.25 -0.837204\n0.50 -0.079286\n0.75 0.690435\nName: 2922, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1296272781373825, std values: 1.0780178072335178, min values: -2.679056533720636, max values: 5.0, median values: 0.0427815998781384, and quantile values: 0.25 -0.661418\n0.50 0.042782\n0.75 0.567705\nName: 2923, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0690739605824493, std values: 0.8155195815443057, min values: -2.0952823332519324, max values: 6.0, median values: -0.0272948480127695, and quantile values: 0.25 -0.649727\n0.50 -0.027295\n0.75 0.512273\nName: 2924, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08232516795195258, std values: 0.7966770551690513, min values: -2.037108201786327, max values: 4.0, median values: -0.180028363613189, and quantile values: 0.25 -0.670485\n0.50 -0.180028\n0.75 0.431263\nName: 2925, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18972909577718375, std values: 0.8412197643455617, min values: -2.267175988438518, max values: 5.0, median values: 0.1494596490931076, and quantile values: 0.25 -0.376332\n0.50 0.149460\n0.75 0.729759\nName: 2926, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08639665675315303, std values: 0.7562878666063058, min values: -2.5879430435308, max values: 3.627976272701048, median values: 0.0812976220723779, and quantile values: 0.25 -0.402851\n0.50 0.081298\n0.75 0.552897\nName: 2927, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5839920300305926, std values: 0.9310903812100253, min values: -2.589966702820638, max values: 6.0, median values: 0.6458946016962037, and quantile values: 0.25 -0.092211\n0.50 0.645895\n0.75 1.318282\nName: 2928, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.48408177641038264, std values: 0.9019818962233617, min values: -2.5156802245814003, max values: 4.0, median values: 0.600478760767891, and quantile values: 0.25 -0.005483\n0.50 0.600479\n0.75 1.076762\nName: 2929, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09939586287169812, std values: 1.0369714657358906, min values: -3.0960472541202715, max values: 6.0, median values: 0.3012879848489204, and quantile values: 0.25 -0.412697\n0.50 0.301288\n0.75 0.791435\nName: 2930, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38547222771221495, std values: 0.8616455023569257, min values: -2.622709665346679, max values: 3.236860296211547, median values: -0.4614222166168316, and quantile values: 0.25 -0.973463\n0.50 -0.461422\n0.75 0.147015\nName: 2931, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08445420697505135, std values: 0.9009691703169332, min values: -2.684072796644972, max values: 6.0, median values: -0.0958188954137264, and quantile values: 0.25 -0.615400\n0.50 -0.095819\n0.75 0.406185\nName: 2932, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09258273283700427, std values: 0.8065673258794768, min values: -2.240740315114864, max values: 4.243835016543704, median values: -0.1304371061903383, and quantile values: 0.25 -0.660964\n0.50 -0.130437\n0.75 0.428800\nName: 2933, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05058115580736217, std values: 1.0767817542514027, min values: -2.944950884974346, max values: 3.415255285860171, median values: -0.1848446165090451, and quantile values: 0.25 -0.746015\n0.50 -0.184845\n0.75 0.543299\nName: 2934, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2825495781225705, std values: 0.8259002378695306, min values: -2.732564679617164, max values: 3.405671179043623, median values: 0.2998473947468092, and quantile values: 0.25 -0.246768\n0.50 0.299847\n0.75 0.803878\nName: 2935, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22691977922481593, std values: 0.7676187478319791, min values: -2.5569229852416258, max values: 4.0, median values: -0.3003947455223731, and quantile values: 0.25 -0.764255\n0.50 -0.300395\n0.75 0.263598\nName: 2936, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2282365996613753, std values: 0.7965242763590065, min values: -2.579952672199424, max values: 6.0, median values: -0.2537180810456866, and quantile values: 0.25 -0.781817\n0.50 -0.253718\n0.75 0.251010\nName: 2937, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28084612922018226, std values: 0.8016205882560219, min values: -2.066406677210093, max values: 5.0, median values: 0.3483173328147976, and quantile values: 0.25 -0.238541\n0.50 0.348317\n0.75 0.789207\nName: 2938, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25022929472313715, std values: 0.8896292811076788, min values: -3.071284484560209, max values: 3.026950214607353, median values: 0.218882761096855, and quantile values: 0.25 -0.327213\n0.50 0.218883\n0.75 0.846298\nName: 2939, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04630182826631293, std values: 0.8617011640635938, min values: -2.5689076212724418, max values: 5.0, median values: -0.120555563217223, and quantile values: 0.25 -0.724579\n0.50 -0.120556\n0.75 0.556467\nName: 2940, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31940154580443464, std values: 0.8901731722888935, min values: -2.313309083689406, max values: 4.0, median values: 0.2864505408055781, and quantile values: 0.25 -0.277338\n0.50 0.286451\n0.75 0.900626\nName: 2941, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09607549907474858, std values: 1.0077532896571202, min values: -2.5961021427111413, max values: 3.103622965243153, median values: 0.1418559367654563, and quantile values: 0.25 -0.539374\n0.50 0.141856\n0.75 0.784633\nName: 2942, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17156462762641472, std values: 0.758754866573609, min values: -2.662750916816848, max values: 5.0, median values: -0.1892543724417182, and quantile values: 0.25 -0.639254\n0.50 -0.189254\n0.75 0.250646\nName: 2943, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.421248948741053, std values: 0.8235104120339332, min values: -4.278004674434733, max values: 3.8226908388056136, median values: 0.4983182833351378, and quantile values: 0.25 -0.121115\n0.50 0.498318\n0.75 0.941310\nName: 2944, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5609513807338019, std values: 0.8374185617294223, min values: -2.116008317253216, max values: 2.6660404517971883, median values: -0.7015462967498435, and quantile values: 0.25 -1.212478\n0.50 -0.701546\n0.75 -0.006747\nName: 2945, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18585708792146802, std values: 0.8728272520906094, min values: -2.5213149333948146, max values: 3.9048392686725855, median values: -0.2753062596707673, and quantile values: 0.25 -0.791241\n0.50 -0.275306\n0.75 0.314434\nName: 2946, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44669276620447657, std values: 1.1504053191755461, min values: -2.960014365184806, max values: 6.0, median values: -0.2151327637155867, and quantile values: 0.25 -1.107054\n0.50 -0.215133\n0.75 0.368606\nName: 2947, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2317169562769516, std values: 0.960740457267097, min values: -2.174309863242296, max values: 3.215720519334646, median values: -0.2721410239647444, and quantile values: 0.25 -1.013338\n0.50 -0.272141\n0.75 0.429006\nName: 2948, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16962002674654253, std values: 0.9321861196363989, min values: -2.4125199145038643, max values: 4.0, median values: -0.2011544628104345, and quantile values: 0.25 -0.952150\n0.50 -0.201154\n0.75 0.481210\nName: 2949, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2156969428072666, std values: 0.9102631876339164, min values: -2.788272971802125, max values: 6.0, median values: -0.3200756640993077, and quantile values: 0.25 -0.887361\n0.50 -0.320076\n0.75 0.386856\nName: 2950, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19311197900274582, std values: 1.1142767831725824, min values: -2.6820581866633817, max values: 3.627976272701048, median values: 0.0447938983028277, and quantile values: 0.25 -0.754005\n0.50 0.044794\n0.75 0.553600\nName: 2951, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2695279041008728, std values: 0.7415749513234131, min values: -2.525881048269423, max values: 3.076680642207697, median values: 0.2788673800265746, and quantile values: 0.25 -0.174477\n0.50 0.278867\n0.75 0.716119\nName: 2952, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25112955055837605, std values: 0.9508967180115709, min values: -2.687115288423959, max values: 5.0, median values: -0.3462086464605381, and quantile values: 0.25 -1.014305\n0.50 -0.346209\n0.75 0.401269\nName: 2953, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2912068424919134, std values: 0.7905665662688641, min values: -1.9361810671530275, max values: 3.867701659180865, median values: 0.3275227367465798, and quantile values: 0.25 -0.253303\n0.50 0.327523\n0.75 0.832449\nName: 2954, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25117225214944094, std values: 0.7800094155350639, min values: -2.2821823594382864, max values: 2.9919443268184467, median values: -0.3027580312032613, and quantile values: 0.25 -0.776259\n0.50 -0.302758\n0.75 0.196792\nName: 2955, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 1.0317554292358748, std values: 0.9032252956044533, min values: -2.783691185534105, max values: 3.4566816047670264, median values: 1.1163102605551367, and quantile values: 0.25 0.510798\n0.50 1.116310\n0.75 1.605370\nName: 2956, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49110502476971246, std values: 0.8827124255103511, min values: -2.783691185534105, max values: 3.405671179043623, median values: 0.5517828545689846, and quantile values: 0.25 -0.094850\n0.50 0.551783\n0.75 1.068977\nName: 2957, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05098659762756078, std values: 0.8646289413612679, min values: -3.307038206418975, max values: 3.784832159836258, median values: -0.0084546698333676, and quantile values: 0.25 -0.523800\n0.50 -0.008455\n0.75 0.615115\nName: 2958, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10539206053231957, std values: 0.8557132040500378, min values: -2.657750824678472, max values: 5.0, median values: -0.0900650119257724, and quantile values: 0.25 -0.610780\n0.50 -0.090065\n0.75 0.403928\nName: 2959, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08857871880816003, std values: 0.8108499789600575, min values: -2.051448664269812, max values: 6.0, median values: -0.1735386101492687, and quantile values: 0.25 -0.631417\n0.50 -0.173539\n0.75 0.399657\nName: 2960, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07866658731373775, std values: 0.9227179399959279, min values: -2.5293911731823453, max values: 3.598076523509904, median values: -0.0949050517693125, and quantile values: 0.25 -0.617118\n0.50 -0.094905\n0.75 0.485320\nName: 2961, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11819787930649069, std values: 0.8700657824262742, min values: -2.5832619696830608, max values: 6.0, median values: 0.0606236024585624, and quantile values: 0.25 -0.463506\n0.50 0.060624\n0.75 0.669439\nName: 2962, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22100310486471783, std values: 0.9026538211732476, min values: -2.7648443048846945, max values: 4.243835016543704, median values: -0.3144833837304475, and quantile values: 0.25 -0.915345\n0.50 -0.314483\n0.75 0.363703\nName: 2963, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10151713585407145, std values: 0.9298917307870614, min values: -2.710223074556336, max values: 4.0, median values: -0.1991229658337034, and quantile values: 0.25 -0.808527\n0.50 -0.199123\n0.75 0.532401\nName: 2964, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23302961743965664, std values: 0.8657686721939807, min values: -2.607565022042742, max values: 4.0, median values: -0.138418983312387, and quantile values: 0.25 -0.829945\n0.50 -0.138419\n0.75 0.377531\nName: 2965, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12346822788115845, std values: 0.8075154945053071, min values: -3.062179113294277, max values: 3.455472209455805, median values: 0.17339882617906, and quantile values: 0.25 -0.365572\n0.50 0.173399\n0.75 0.652444\nName: 2966, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07369351738648532, std values: 0.7607903914352367, min values: -1.9577826633289284, max values: 3.528773265847577, median values: 0.0826845186067655, and quantile values: 0.25 -0.426651\n0.50 0.082685\n0.75 0.548648\nName: 2967, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05819863545522549, std values: 0.7608945615597341, min values: -2.130013130592229, max values: 5.0, median values: -0.1054157271560388, and quantile values: 0.25 -0.556494\n0.50 -0.105416\n0.75 0.429579\nName: 2968, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17474830178063783, std values: 0.9871680442293341, min values: -2.610097161345549, max values: 4.0, median values: 0.2307423834245026, and quantile values: 0.25 -0.555980\n0.50 0.230742\n0.75 0.937513\nName: 2969, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11403110629508194, std values: 0.8574153095284697, min values: -2.476285024008804, max values: 3.2266531185902125, median values: 0.1333262115713889, and quantile values: 0.25 -0.521527\n0.50 0.133326\n0.75 0.744416\nName: 2970, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.026748229113416122, std values: 0.8192150304177799, min values: -2.3184884946917497, max values: 6.0, median values: -0.0583867480937837, and quantile values: 0.25 -0.512713\n0.50 -0.058387\n0.75 0.523074\nName: 2971, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17134326140803702, std values: 0.9630969749718402, min values: -2.643887016977268, max values: 4.0, median values: 0.1733149574233861, and quantile values: 0.25 -0.547578\n0.50 0.173315\n0.75 0.885007\nName: 2972, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20492784645804432, std values: 0.9553401536699883, min values: -2.9090251609554527, max values: 6.0, median values: -0.1342681745056957, and quantile values: 0.25 -0.678020\n0.50 -0.134268\n0.75 0.405775\nName: 2973, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.189907579590323, std values: 0.7768102176111377, min values: -2.4564928597243227, max values: 4.0, median values: 0.2111041823796255, and quantile values: 0.25 -0.296505\n0.50 0.211104\n0.75 0.664509\nName: 2974, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38522486740057843, std values: 1.1225920841578585, min values: -3.1386665508340674, max values: 2.9245279250138942, median values: 0.5973485973245746, and quantile values: 0.25 -0.359237\n0.50 0.597349\n0.75 1.243215\nName: 2975, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6752591753779595, std values: 0.9858787187708161, min values: -3.0148736195915964, max values: 3.569037956734876, median values: -0.738143399405843, and quantile values: 0.25 -1.305519\n0.50 -0.738143\n0.75 -0.096033\nName: 2976, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2462965469737036, std values: 0.8668370849568744, min values: -2.4564928597243227, max values: 4.0, median values: 0.3114476446990839, and quantile values: 0.25 -0.370757\n0.50 0.311448\n0.75 0.853080\nName: 2977, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18226132599084965, std values: 0.7853033380188643, min values: -2.688157591415518, max values: 5.0, median values: 0.2388984144083914, and quantile values: 0.25 -0.378803\n0.50 0.238898\n0.75 0.757670\nName: 2978, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32341489473235696, std values: 0.8270544880505266, min values: -2.222049826555007, max values: 3.9905524164385566, median values: 0.3430597576776439, and quantile values: 0.25 -0.229445\n0.50 0.343060\n0.75 0.854048\nName: 2979, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8465310063555608, std values: 0.8449243317513068, min values: -2.003475715174165, max values: 3.405671179043623, median values: 0.9732622563306016, and quantile values: 0.25 0.304095\n0.50 0.973262\n0.75 1.487878\nName: 2980, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6942379816968135, std values: 1.2660172921362685, min values: -2.9622221028070275, max values: 4.0, median values: -0.7112164427516677, and quantile values: 0.25 -1.748497\n0.50 -0.711216\n0.75 0.286737\nName: 2981, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43154702351062707, std values: 0.7717573255829341, min values: -2.6117120822772133, max values: 5.0, median values: 0.5136240925537071, and quantile values: 0.25 -0.101131\n0.50 0.513624\n0.75 0.958304\nName: 2982, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06683265635590073, std values: 0.9501358088889821, min values: -2.7884838087481176, max values: 6.0, median values: -0.1248009074438438, and quantile values: 0.25 -0.724257\n0.50 -0.124801\n0.75 0.480301\nName: 2983, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5163924310063717, std values: 0.80969065374021, min values: -2.4737574649270093, max values: 3.9048392686725855, median values: 0.5819521416827107, and quantile values: 0.25 -0.030298\n0.50 0.581952\n0.75 1.106292\nName: 2984, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.024297691268853252, std values: 1.0404469916744326, min values: -2.7211321814067784, max values: 3.197902420311553, median values: 0.1522248454009748, and quantile values: 0.25 -0.515668\n0.50 0.152225\n0.75 0.655546\nName: 2985, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.025090114425414856, std values: 1.2083942829526402, min values: -2.9109251266226006, max values: 4.026668017837955, median values: -0.1267717288353458, and quantile values: 0.25 -0.907879\n0.50 -0.126772\n0.75 0.863405\nName: 2986, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8035124357128532, std values: 1.178314192303685, min values: -2.589966702820638, max values: 6.0, median values: 0.7513367608431587, and quantile values: 0.25 -0.072961\n0.50 0.751337\n0.75 1.748879\nName: 2987, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36837900117556316, std values: 0.9816018680813562, min values: -1.9922697996330585, max values: 3.721862465295849, median values: 0.4608096481081933, and quantile values: 0.25 -0.409473\n0.50 0.460810\n0.75 1.141138\nName: 2988, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.055212243199081204, std values: 0.7794495496642628, min values: -2.181655038065931, max values: 3.0, median values: 0.1066966204284116, and quantile values: 0.25 -0.512112\n0.50 0.106697\n0.75 0.627848\nName: 2989, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1379777230977386, std values: 1.047178340844047, min values: -2.7939007019027, max values: 3.8226908388056136, median values: 0.0348679580611132, and quantile values: 0.25 -0.530414\n0.50 0.034868\n0.75 0.744053\nName: 2990, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02287246321672985, std values: 0.8849301419274407, min values: -2.510124273981921, max values: 3.215720519334646, median values: 0.0069249651560217, and quantile values: 0.25 -0.585343\n0.50 0.006925\n0.75 0.581252\nName: 2991, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07495841544620803, std values: 0.7741448909951374, min values: -2.006297374621582, max values: 3.2936960268109283, median values: 0.1079153466745135, and quantile values: 0.25 -0.464856\n0.50 0.107915\n0.75 0.608987\nName: 2992, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6191390200112572, std values: 1.010881225485814, min values: -3.1386665508340674, max values: 3.0046625681201315, median values: -0.7891422814371872, and quantile values: 0.25 -1.342977\n0.50 -0.789142\n0.75 0.027157\nName: 2993, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14081939222076878, std values: 0.8917412222028541, min values: -2.464786802516125, max values: 5.0, median values: -0.1087435833929155, and quantile values: 0.25 -0.812505\n0.50 -0.108744\n0.75 0.511600\nName: 2994, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4492573062927021, std values: 1.0081637732303312, min values: -2.955641696055872, max values: 3.280245386470253, median values: -0.5210224509614446, and quantile values: 0.25 -1.253813\n0.50 -0.521022\n0.75 0.261574\nName: 2995, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.2071174360611387, std values: 1.6601242392633184, min values: -3.05087304133376, max values: 5.0, median values: -1.9525088474734984, and quantile values: 0.25 -2.261811\n0.50 -1.952509\n0.75 -0.323612\nName: 2996, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3064377720303044, std values: 1.035726609275523, min values: -2.5820330744015787, max values: 4.0, median values: 0.2346783911022222, and quantile values: 0.25 -0.390725\n0.50 0.234678\n0.75 1.016568\nName: 2997, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17629831336762158, std values: 0.7365638294340578, min values: -1.949451868926259, max values: 3.176672644814091, median values: 0.111350807346423, and quantile values: 0.25 -0.302784\n0.50 0.111351\n0.75 0.625830\nName: 2998, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08847015071489515, std values: 0.7670343187062333, min values: -2.4176069991382847, max values: 6.0, median values: -0.0523506950717119, and quantile values: 0.25 -0.613688\n0.50 -0.052351\n0.75 0.430486\nName: 2999, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10031005563675574, std values: 0.8620252271545291, min values: -2.510124273981921, max values: 3.405671179043623, median values: -0.0775457357436689, and quantile values: 0.25 -0.610568\n0.50 -0.077546\n0.75 0.412427\nName: 3000, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0867291063532052, std values: 0.705231851248307, min values: -2.4540853055744134, max values: 3.319774799707247, median values: 0.0814873254360782, and quantile values: 0.25 -0.351307\n0.50 0.081487\n0.75 0.494808\nName: 3001, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4800639592965892, std values: 1.044488595237612, min values: -2.841647375415054, max values: 5.0, median values: -0.430874250914132, and quantile values: 0.25 -1.258929\n0.50 -0.430874\n0.75 0.259825\nName: 3002, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5604710403302572, std values: 1.1267290406774004, min values: -2.837386543755612, max values: 4.0, median values: -0.6285864037593356, and quantile values: 0.25 -1.355017\n0.50 -0.628586\n0.75 0.202988\nName: 3003, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1994695481088124, std values: 0.9045547234712638, min values: -2.0889107352751046, max values: 4.0, median values: -0.2377141454119354, and quantile values: 0.25 -0.852542\n0.50 -0.237714\n0.75 0.340170\nName: 3004, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3848058831753197, std values: 0.9795199608125145, min values: -3.215720519334632, max values: 3.103622965243153, median values: -0.4918432668342647, and quantile values: 0.25 -1.110414\n0.50 -0.491843\n0.75 0.219809\nName: 3005, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6768825941379836, std values: 0.9395228323391478, min values: -2.2065783767301927, max values: 6.0, median values: 0.8202119888311944, and quantile values: 0.25 0.037572\n0.50 0.820212\n0.75 1.414190\nName: 3006, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35680032482156343, std values: 0.8872131414163921, min values: -2.060842074965388, max values: 3.627976272701048, median values: -0.4339364231612411, and quantile values: 0.25 -1.090591\n0.50 -0.433936\n0.75 0.230547\nName: 3007, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10701888527351935, std values: 0.9303033452551457, min values: -2.0581710137008287, max values: 3.2696814875916886, median values: 0.0143939102370902, and quantile values: 0.25 -0.627714\n0.50 0.014394\n0.75 0.765072\nName: 3008, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.052648156379331845, std values: 0.7717255866303878, min values: -2.0353567906974, max values: 2.711308513600505, median values: 0.0814687004251987, and quantile values: 0.25 -0.482504\n0.50 0.081469\n0.75 0.613345\nName: 3009, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05697275132287039, std values: 0.8202585727368611, min values: -3.1803656451379134, max values: 5.0, median values: -0.1201627548403351, and quantile values: 0.25 -0.616485\n0.50 -0.120163\n0.75 0.477730\nName: 3010, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.757670380592384, std values: 1.065612387687009, min values: -2.724017888297919, max values: 3.8226908388056136, median values: 0.7892029329592071, and quantile values: 0.25 0.147253\n0.50 0.789203\n0.75 1.460038\nName: 3011, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0906849537559105, std values: 0.7622648854807684, min values: -2.0518013768179686, max values: 4.0, median values: 0.0166394589442703, and quantile values: 0.25 -0.426056\n0.50 0.016639\n0.75 0.588291\nName: 3012, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02194421182068297, std values: 1.1870286675607318, min values: -2.1047747435038886, max values: 5.0, median values: -0.1433123715051907, and quantile values: 0.25 -0.917821\n0.50 -0.143312\n0.75 0.806696\nName: 3013, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.4299185099984184, std values: 1.0040487313231903, min values: -2.727901130262228, max values: 4.0, median values: -1.7903740237008634, and quantile values: 0.25 -2.142279\n0.50 -1.790374\n0.75 -0.850247\nName: 3014, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4471720825595858, std values: 0.8442151920776744, min values: -2.212004168819108, max values: 3.0, median values: -0.5372732448280254, and quantile values: 0.25 -1.147818\n0.50 -0.537273\n0.75 0.123853\nName: 3015, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5165998068025743, std values: 0.9220763090249074, min values: -2.8531572940820533, max values: 3.20751086257212, median values: 0.6193186841650177, and quantile values: 0.25 -0.132632\n0.50 0.619319\n0.75 1.254348\nName: 3016, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.46558968536103623, std values: 0.8824901538923969, min values: -3.0133870328644434, max values: 3.397048482165858, median values: 0.6055323853748357, and quantile values: 0.25 -0.008745\n0.50 0.605532\n0.75 1.070255\nName: 3017, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16827845281603201, std values: 0.8318195314857934, min values: -2.641174291463747, max values: 6.0, median values: -0.1445302796919939, and quantile values: 0.25 -0.666937\n0.50 -0.144530\n0.75 0.360548\nName: 3018, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29158963938856103, std values: 1.1422650116328612, min values: -3.045947208515832, max values: 6.0, median values: -0.2336317336928622, and quantile values: 0.25 -1.004047\n0.50 -0.233632\n0.75 0.470642\nName: 3019, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02716296420303086, std values: 0.9156282148374789, min values: -2.8663054413554843, max values: 6.0, median values: -0.0283141965887292, and quantile values: 0.25 -0.502719\n0.50 -0.028314\n0.75 0.509527\nName: 3020, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1787471276078882, std values: 0.8221875919499481, min values: -2.6652153608723106, max values: 3.258347009006034, median values: 0.1966706085810355, and quantile values: 0.25 -0.367907\n0.50 0.196671\n0.75 0.710401\nName: 3021, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.189409281056137, std values: 1.3869851368944448, min values: -2.6270253558526173, max values: 4.0, median values: 0.3533191179281754, and quantile values: 0.25 -0.766783\n0.50 0.353319\n0.75 1.318515\nName: 3022, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6823446970799405, std values: 0.983430864055923, min values: -2.684072796644972, max values: 6.0, median values: -0.7847362607757853, and quantile values: 0.25 -1.333805\n0.50 -0.784736\n0.75 -0.027490\nName: 3023, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.031150047405055798, std values: 1.1619693132092337, min values: -2.8531572940820533, max values: 3.3636961113187773, median values: -0.0199724840318386, and quantile values: 0.25 -0.763186\n0.50 -0.019972\n0.75 0.755140\nName: 3024, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04109851747185161, std values: 1.172839717939392, min values: -2.9472833478224456, max values: 6.0, median values: 0.1404704628740561, and quantile values: 0.25 -0.740172\n0.50 0.140470\n0.75 0.783201\nName: 3025, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15926926135449948, std values: 0.8580409421879686, min values: -2.4705236352348297, max values: 3.224152805256112, median values: -0.2785688802007539, and quantile values: 0.25 -0.795914\n0.50 -0.278569\n0.75 0.390933\nName: 3026, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06785383453232008, std values: 0.8176050729757646, min values: -2.083073092108871, max values: 3.867701659180865, median values: -0.0195266137672221, and quantile values: 0.25 -0.662212\n0.50 -0.019527\n0.75 0.468049\nName: 3027, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6318155255885127, std values: 0.8103436910693188, min values: -2.64479559868397, max values: 6.0, median values: -0.7155142082582183, and quantile values: 0.25 -1.174608\n0.50 -0.715514\n0.75 -0.210642\nName: 3028, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18964611092370023, std values: 0.9655296641981421, min values: -2.5345871828296267, max values: 3.260388056018088, median values: 0.1703244308889808, and quantile values: 0.25 -0.573741\n0.50 0.170324\n0.75 0.985924\nName: 3029, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07048601194547414, std values: 0.8069106968579426, min values: -2.5832619696830608, max values: 6.0, median values: -0.0399292857009002, and quantile values: 0.25 -0.661958\n0.50 -0.039929\n0.75 0.509581\nName: 3030, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1479070599423368, std values: 0.9531052822883791, min values: -2.8327898928872086, max values: 4.0, median values: -0.1511864876095392, and quantile values: 0.25 -0.771577\n0.50 -0.151186\n0.75 0.412817\nName: 3031, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4057285656635474, std values: 0.953479377845015, min values: -2.1154918763173005, max values: 4.0, median values: -0.5194459557465247, and quantile values: 0.25 -1.182899\n0.50 -0.519446\n0.75 0.266936\nName: 3032, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.022308528652822075, std values: 1.3117933020161263, min values: -2.6270253558526173, max values: 4.0, median values: 0.2990248553129929, and quantile values: 0.25 -0.796443\n0.50 0.299025\n0.75 0.929678\nName: 3033, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1806216820633129, std values: 0.9264079250958321, min values: -2.1227739687253626, max values: 3.528773265847577, median values: 0.1116445534294182, and quantile values: 0.25 -0.540726\n0.50 0.111645\n0.75 0.877480\nName: 3034, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3282059521849216, std values: 1.2653258188603091, min values: -2.7211321814067784, max values: 3.0, median values: -0.125735194922319, and quantile values: 0.25 -1.568573\n0.50 -0.125735\n0.75 0.556205\nName: 3035, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3430171349500377, std values: 0.7801826648663628, min values: -2.049996677874803, max values: 3.247416277295021, median values: 0.4009701504455555, and quantile values: 0.25 -0.146870\n0.50 0.400970\n0.75 0.843529\nName: 3036, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05890647457695988, std values: 0.7895553063397034, min values: -2.6117120822772133, max values: 5.0, median values: -0.0984465970779941, and quantile values: 0.25 -0.590384\n0.50 -0.098447\n0.75 0.440295\nName: 3037, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21897392980043784, std values: 1.0724655135962506, min values: -2.657750824678472, max values: 5.0, median values: 0.2688804932014688, and quantile values: 0.25 -0.375994\n0.50 0.268880\n0.75 0.937342\nName: 3038, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10251389500078778, std values: 0.8158898680325685, min values: -2.014859573509326, max values: 4.0, median values: 0.083126664520196, and quantile values: 0.25 -0.419775\n0.50 0.083127\n0.75 0.613292\nName: 3039, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2220780377907786, std values: 0.859712363652516, min values: -2.801183634509044, max values: 5.0, median values: -0.2652311082732992, and quantile values: 0.25 -0.813613\n0.50 -0.265231\n0.75 0.268791\nName: 3040, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4367391547252131, std values: 0.8430767605765852, min values: -2.6404955031131814, max values: 6.0, median values: 0.5251165680708961, and quantile values: 0.25 -0.122782\n0.50 0.525117\n0.75 1.033272\nName: 3041, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3804225355140029, std values: 1.0335386533114606, min values: -1.9360016274207128, max values: 3.362228250221886, median values: 0.2271832434333939, and quantile values: 0.25 -0.354034\n0.50 0.227183\n0.75 1.076762\nName: 3042, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43725956092788987, std values: 0.9352736954892282, min values: -2.799990485600992, max values: 5.0, median values: 0.5220320876488013, and quantile values: 0.25 -0.218381\n0.50 0.522032\n0.75 1.149445\nName: 3043, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14250643516553824, std values: 0.8336669138137106, min values: -2.2398683045325223, max values: 3.670892362631932, median values: 0.191459971610824, and quantile values: 0.25 -0.459861\n0.50 0.191460\n0.75 0.762320\nName: 3044, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0423549828771044, std values: 0.833844912498649, min values: -2.067417906860217, max values: 6.0, median values: -0.0669119093267135, and quantile values: 0.25 -0.580973\n0.50 -0.066912\n0.75 0.440811\nName: 3045, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17354868630241974, std values: 0.7413228510006191, min values: -2.0166620885981987, max values: 5.0, median values: 0.1871133241751759, and quantile values: 0.25 -0.296594\n0.50 0.187113\n0.75 0.624451\nName: 3046, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0162924587434334, std values: 1.3855747715387716, min values: -3.101800431129944, max values: 6.0, median values: -1.633971673829849, and quantile values: 0.25 -2.165598\n0.50 -1.633972\n0.75 0.230745\nName: 3047, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.049768742428364904, std values: 0.9540165840016785, min values: -3.0390690173369013, max values: 3.306454397423372, median values: 0.1123484435639476, and quantile values: 0.25 -0.642273\n0.50 0.112348\n0.75 0.828469\nName: 3048, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.1235677417930479, std values: 1.7006289791608769, min values: -2.944950884974346, max values: 4.026668017837955, median values: -1.9940685612824285, and quantile values: 0.25 -2.358510\n0.50 -1.994069\n0.75 0.050529\nName: 3049, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.47582941319875943, std values: 0.9043292453709337, min values: -2.442256129120324, max values: 6.0, median values: -0.5542772092457638, and quantile values: 0.25 -1.127306\n0.50 -0.554277\n0.75 -0.013425\nName: 3050, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34513615942869613, std values: 0.863930450070667, min values: -2.1371444472445806, max values: 3.1841025362512254, median values: -0.3992994132209905, and quantile values: 0.25 -1.006241\n0.50 -0.399299\n0.75 0.225714\nName: 3051, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12358265937815256, std values: 0.9166428374313188, min values: -2.693453432157769, max values: 3.098911021393695, median values: 0.2260603754671513, and quantile values: 0.25 -0.502864\n0.50 0.226060\n0.75 0.758879\nName: 3052, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.579369303808821, std values: 0.9238499183614083, min values: -2.673549169958716, max values: 6.0, median values: -0.6523541900241729, and quantile values: 0.25 -1.315084\n0.50 -0.652354\n0.75 0.051659\nName: 3053, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5280307128238864, std values: 0.8717386789048569, min values: -2.143675605330115, max values: 5.0, median values: -0.6513915063711004, and quantile values: 0.25 -1.214106\n0.50 -0.651392\n0.75 0.031037\nName: 3054, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4823796162552929, std values: 1.030525063480939, min values: -2.9029979285382743, max values: 3.0, median values: 0.6439619811461761, and quantile values: 0.25 -0.063024\n0.50 0.643962\n0.75 1.185323\nName: 3055, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19966181438648536, std values: 1.039280308090662, min values: -2.510124273981921, max values: 3.0089865423056903, median values: 0.1941893198139585, and quantile values: 0.25 -0.547714\n0.50 0.194189\n0.75 1.039832\nName: 3056, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1159201844138735, std values: 1.0309513365618845, min values: -2.838932175687192, max values: 4.0, median values: -0.2558219394723177, and quantile values: 0.25 -0.854246\n0.50 -0.255822\n0.75 0.596826\nName: 3057, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2728801168801605, std values: 0.8171361860351923, min values: -2.1214123321459715, max values: 3.041094191308108, median values: 0.2767943294129971, and quantile values: 0.25 -0.265652\n0.50 0.276794\n0.75 0.824671\nName: 3058, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.013583866876734914, std values: 0.7893442416059361, min values: -1.9454162907702115, max values: 5.0, median values: 0.0538653939306625, and quantile values: 0.25 -0.563933\n0.50 0.053865\n0.75 0.529381\nName: 3059, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1567768911416242, std values: 0.7966327905886337, min values: -2.572123985342288, max values: 5.0, median values: -0.1853818680556948, and quantile values: 0.25 -0.645617\n0.50 -0.185382\n0.75 0.315849\nName: 3060, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2589471948287722, std values: 1.0163642983231227, min values: -2.102258330765142, max values: 2.904599483626477, median values: 0.2816696404560333, and quantile values: 0.25 -0.552361\n0.50 0.281670\n0.75 1.087146\nName: 3061, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.004601548182255071, std values: 0.7598681475167065, min values: -1.978435600463218, max values: 3.9905524164385566, median values: -0.0891249095880646, and quantile values: 0.25 -0.519414\n0.50 -0.089125\n0.75 0.452618\nName: 3062, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21391662523842678, std values: 0.9005981298427129, min values: -2.282554852254291, max values: 3.415255285860171, median values: -0.2950115478006385, and quantile values: 0.25 -0.846379\n0.50 -0.295012\n0.75 0.277281\nName: 3063, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.040119723999199525, std values: 0.9356571738274552, min values: -2.837386543755612, max values: 5.0, median values: 0.0246226336593034, and quantile values: 0.25 -0.577549\n0.50 0.024623\n0.75 0.659594\nName: 3064, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1987876851589156, std values: 0.8822668121364668, min values: -2.608390851963037, max values: 5.0, median values: -0.2276636768356518, and quantile values: 0.25 -0.736844\n0.50 -0.227664\n0.75 0.364031\nName: 3065, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.2039490908168007, std values: 1.1721788166235936, min values: -2.727901130262228, max values: 4.0, median values: -1.6988505925848862, and quantile values: 0.25 -2.140406\n0.50 -1.698851\n0.75 -0.350957\nName: 3066, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2637338980450029, std values: 0.9211815601542719, min values: -2.8350118695332047, max values: 5.0, median values: -0.3145133483327655, and quantile values: 0.25 -0.815190\n0.50 -0.314513\n0.75 0.274449\nName: 3067, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30454903885597046, std values: 0.7899189006680206, min values: -2.208279639238469, max values: 3.9905524164385566, median values: 0.3514329917126866, and quantile values: 0.25 -0.218381\n0.50 0.351433\n0.75 0.817572\nName: 3068, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24458891984036488, std values: 0.8462475866628093, min values: -2.321103531050575, max values: 4.0, median values: 0.2253330496065568, and quantile values: 0.25 -0.324781\n0.50 0.225333\n0.75 0.830023\nName: 3069, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8320046302665961, std values: 0.8920622203642596, min values: -2.788272971802125, max values: 6.0, median values: -0.9081105885341344, and quantile values: 0.25 -1.464444\n0.50 -0.908111\n0.75 -0.362163\nName: 3070, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.014645297298461342, std values: 0.8210228952882814, min values: -2.419659473655063, max values: 4.0, median values: -0.1212490963958446, and quantile values: 0.25 -0.586455\n0.50 -0.121249\n0.75 0.535524\nName: 3071, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3931435500357284, std values: 1.186885714123017, min values: -3.236860296211546, max values: 3.0533207538164056, median values: -0.3229875995564212, and quantile values: 0.25 -1.308379\n0.50 -0.322988\n0.75 0.466421\nName: 3072, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.913393318481728, std values: 0.9275116255305912, min values: -1.8791169866791428, max values: 6.0, median values: 1.0897857901855426, and quantile values: 0.25 0.295715\n0.50 1.089786\n0.75 1.583464\nName: 3073, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3194005408671651, std values: 1.110239879141267, min values: -2.6820581866633817, max values: 3.036311757241655, median values: -0.3934868849369041, and quantile values: 0.25 -1.201282\n0.50 -0.393487\n0.75 0.508697\nName: 3074, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17738121442314644, std values: 0.7804118726749175, min values: -2.0567990530927305, max values: 5.0, median values: 0.1554295632153745, and quantile values: 0.25 -0.310810\n0.50 0.155430\n0.75 0.647524\nName: 3075, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5597727073836221, std values: 1.0062607325899422, min values: -2.607565022042742, max values: 4.0, median values: -0.7404108980578855, and quantile values: 0.25 -1.365017\n0.50 -0.740411\n0.75 0.089153\nName: 3076, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2819160322557188, std values: 0.9170232558210792, min values: -2.3219763062756256, max values: 4.026668017837955, median values: -0.4245110554840428, and quantile values: 0.25 -0.930397\n0.50 -0.424511\n0.75 0.286985\nName: 3077, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08915144154979657, std values: 0.7799262832132374, min values: -1.9365401337588743, max values: 3.528773265847577, median values: 0.0358848779308344, and quantile values: 0.25 -0.438928\n0.50 0.035885\n0.75 0.572611\nName: 3078, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14874975663083298, std values: 0.9631035111078522, min values: -2.482931728382393, max values: 4.243835016543704, median values: 0.188965641386976, and quantile values: 0.25 -0.543518\n0.50 0.188966\n0.75 0.839185\nName: 3079, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20878315197831956, std values: 0.8228442681754172, min values: -2.0279821064908434, max values: 5.0, median values: -0.3153525925907229, and quantile values: 0.25 -0.835242\n0.50 -0.315353\n0.75 0.310205\nName: 3080, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3359696001602949, std values: 0.7655927094394699, min values: -2.154207450651022, max values: 4.0, median values: -0.385149918148336, and quantile values: 0.25 -0.850363\n0.50 -0.385150\n0.75 0.131025\nName: 3081, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17891326654846504, std values: 0.7610666491147513, min values: -2.156806272086999, max values: 4.243835016543704, median values: 0.1610297117273667, and quantile values: 0.25 -0.309992\n0.50 0.161030\n0.75 0.625469\nName: 3082, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.022977442520267437, std values: 0.7672395779849407, min values: -2.1553300733566907, max values: 3.147276669305989, median values: -0.0246532852441418, and quantile values: 0.25 -0.488087\n0.50 -0.024653\n0.75 0.534634\nName: 3083, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04937898642474918, std values: 1.1009227482622672, min values: -2.6800544037614658, max values: 4.0, median values: 0.2224733868728148, and quantile values: 0.25 -0.550075\n0.50 0.222473\n0.75 0.806619\nName: 3084, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24192810322761926, std values: 0.8792574663394902, min values: -2.442256129120324, max values: 6.0, median values: -0.3543255656606177, and quantile values: 0.25 -0.868092\n0.50 -0.354326\n0.75 0.329480\nName: 3085, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6456122622891782, std values: 1.068473826913527, min values: -3.0484008792629496, max values: 5.0, median values: 0.7188825042464287, and quantile values: 0.25 -0.141527\n0.50 0.718883\n0.75 1.550787\nName: 3086, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27606472520844166, std values: 1.326485060376451, min values: -2.933035609461076, max values: 5.0, median values: -0.0309425032273392, and quantile values: 0.25 -1.473047\n0.50 -0.030943\n0.75 0.762857\nName: 3087, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24506623156491716, std values: 1.0230585850892264, min values: -2.6466193392086392, max values: 4.243835016543704, median values: -0.117199675861354, and quantile values: 0.25 -0.976569\n0.50 -0.117200\n0.75 0.469340\nName: 3088, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10642909644193681, std values: 1.4582293172890972, min values: -2.944950884974346, max values: 3.518664430018096, median values: 0.243187886674654, and quantile values: 0.25 -0.819617\n0.50 0.243188\n0.75 1.115479\nName: 3089, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45251997807265476, std values: 1.0444961407217614, min values: -2.887007053971579, max values: 3.670892362631932, median values: -0.4345982052274079, and quantile values: 0.25 -1.139555\n0.50 -0.434598\n0.75 0.263787\nName: 3090, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.018093029484432324, std values: 0.782324158792584, min values: -2.5422910691068967, max values: 3.0, median values: -0.0194990692108529, and quantile values: 0.25 -0.492619\n0.50 -0.019499\n0.75 0.520076\nName: 3091, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04697068375541491, std values: 0.7858237360255814, min values: -2.044138536277291, max values: 3.362228250221886, median values: 0.0826256074441922, and quantile values: 0.25 -0.512112\n0.50 0.082626\n0.75 0.587633\nName: 3092, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5076199254650066, std values: 0.7977563664033421, min values: -2.841647375415054, max values: 5.0, median values: 0.6081048788501123, and quantile values: 0.25 -0.008059\n0.50 0.608105\n0.75 1.092833\nName: 3093, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37177937660185933, std values: 1.1481154626697696, min values: -2.638186942019407, max values: 4.0, median values: 0.3368134683097132, and quantile values: 0.25 -0.290843\n0.50 0.336813\n0.75 1.040021\nName: 3094, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13336632013303024, std values: 1.0985534012666756, min values: -2.92272757463548, max values: 6.0, median values: 0.0138251755565885, and quantile values: 0.25 -0.769577\n0.50 0.013825\n0.75 0.687139\nName: 3095, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10755986574843616, std values: 0.9232378834648114, min values: -2.558791007225312, max values: 3.528773265847577, median values: 0.1669704333301091, and quantile values: 0.25 -0.492154\n0.50 0.166970\n0.75 0.711496\nName: 3096, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3670439493477802, std values: 0.826157263187094, min values: -2.072108449798908, max values: 3.784832159836258, median values: 0.4067755973883335, and quantile values: 0.25 -0.189086\n0.50 0.406776\n0.75 0.901411\nName: 3097, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04553688542392574, std values: 0.7887831081329265, min values: -2.400174455177781, max values: 6.0, median values: 0.0509697897966103, and quantile values: 0.25 -0.439416\n0.50 0.050970\n0.75 0.498551\nName: 3098, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4866952588514109, std values: 0.8910037903658241, min values: -2.062310304625852, max values: 3.258347009006034, median values: 0.4229003744440402, and quantile values: 0.25 -0.127827\n0.50 0.422900\n0.75 1.105530\nName: 3099, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09747396788424333, std values: 0.7572911155605955, min values: -2.043287858674072, max values: 5.0, median values: -0.1777057414104135, and quantile values: 0.25 -0.603284\n0.50 -0.177706\n0.75 0.358355\nName: 3100, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.021545920103723356, std values: 0.9071899430449271, min values: -2.919359491767569, max values: 6.0, median values: 0.0886508343532836, and quantile values: 0.25 -0.634099\n0.50 0.088651\n0.75 0.651421\nName: 3101, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.309984894885452, std values: 0.7648641590920451, min values: -2.6023368942328267, max values: 3.5581019918925243, median values: 0.3377141033338827, and quantile values: 0.25 -0.154879\n0.50 0.337714\n0.75 0.764402\nName: 3102, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3173160268002114, std values: 1.0275991637505713, min values: -2.87684958111886, max values: 3.32433157891547, median values: 0.3550015338961313, and quantile values: 0.25 -0.327184\n0.50 0.355002\n0.75 1.021749\nName: 3103, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08569015827623029, std values: 0.884439807998275, min values: -2.213354504033011, max values: 6.0, median values: -0.2003029152545951, and quantile values: 0.25 -0.750534\n0.50 -0.200303\n0.75 0.498630\nName: 3104, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14649040457261858, std values: 0.7981490118618183, min values: -2.476285024008804, max values: 3.176672644814091, median values: -0.1884122842067874, and quantile values: 0.25 -0.681494\n0.50 -0.188412\n0.75 0.295817\nName: 3105, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4340666139625291, std values: 0.9821255153418932, min values: -2.564449278715455, max values: 4.278004674434932, median values: 0.4229746217394326, and quantile values: 0.25 -0.230864\n0.50 0.422975\n0.75 1.077237\nName: 3106, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21844421120898475, std values: 0.80686685476633, min values: -2.4788285026914285, max values: 4.0, median values: 0.1680969540132832, and quantile values: 0.25 -0.284893\n0.50 0.168097\n0.75 0.723005\nName: 3107, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05942897984242034, std values: 1.113643912997863, min values: -3.071284484560209, max values: 3.5581019918925243, median values: -0.1473991665875402, and quantile values: 0.25 -0.845284\n0.50 -0.147399\n0.75 0.627111\nName: 3108, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04718655787136413, std values: 1.0517920380050698, min values: -2.5695487141177, max values: 4.0, median values: -0.0944347807810556, and quantile values: 0.25 -0.691634\n0.50 -0.094435\n0.75 0.652525\nName: 3109, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11790372366672215, std values: 0.7781058886549803, min values: -2.215291168881953, max values: 3.155170554159904, median values: 0.0702002464395854, and quantile values: 0.25 -0.398190\n0.50 0.070200\n0.75 0.622212\nName: 3110, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12641858800616398, std values: 0.8854905605655017, min values: -2.4705236352348297, max values: 3.197902420311553, median values: -0.2326406865735987, and quantile values: 0.25 -0.788940\n0.50 -0.232641\n0.75 0.397272\nName: 3111, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07168914947484308, std values: 0.8531048542670854, min values: -2.0806681251243795, max values: 3.096891534584617, median values: 0.0050947949567084, and quantile values: 0.25 -0.568288\n0.50 0.005095\n0.75 0.667666\nName: 3112, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2845612175486274, std values: 0.8347671092104058, min values: -2.039577292369421, max values: 5.0, median values: 0.3706788697520267, and quantile values: 0.25 -0.300107\n0.50 0.370679\n0.75 0.884867\nName: 3113, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12071919632762772, std values: 0.9266157249171346, min values: -2.0366697630595785, max values: 5.0, median values: -0.1872823712808381, and quantile values: 0.25 -0.872282\n0.50 -0.187282\n0.75 0.510765\nName: 3114, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20717353462633367, std values: 0.8901793989541171, min values: -2.12073996675014, max values: 3.0, median values: 0.2761655191332607, and quantile values: 0.25 -0.423547\n0.50 0.276166\n0.75 0.869377\nName: 3115, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06846931606278708, std values: 0.9220146032677403, min values: -2.5961021427111413, max values: 4.026668017837955, median values: 0.1824359610806402, and quantile values: 0.25 -0.567816\n0.50 0.182436\n0.75 0.760141\nName: 3116, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10496117472796818, std values: 0.8781427472823486, min values: -2.64479559868397, max values: 6.0, median values: 0.1457846316030998, and quantile values: 0.25 -0.471678\n0.50 0.145785\n0.75 0.621589\nName: 3117, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08217280739461162, std values: 1.006213849446934, min values: -2.799990485600992, max values: 5.0, median values: -0.0663357454168075, and quantile values: 0.25 -0.935144\n0.50 -0.066336\n0.75 0.652444\nName: 3118, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15463854729463558, std values: 0.9127250807577703, min values: -2.6652153608723106, max values: 3.0, median values: -0.2595228977924429, and quantile values: 0.25 -0.855327\n0.50 -0.259523\n0.75 0.439901\nName: 3119, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2128357966018269, std values: 0.9026121899791296, min values: -2.486556664247513, max values: 3.319774799707247, median values: -0.2698362909695714, and quantile values: 0.25 -0.792535\n0.50 -0.269836\n0.75 0.312749\nName: 3120, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.50976541153277, std values: 0.8574401246748427, min values: -2.040629887786797, max values: 3.784832159836258, median values: 0.5548874382578847, and quantile values: 0.25 -0.123968\n0.50 0.554887\n0.75 1.199469\nName: 3121, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08078257302219417, std values: 1.0286977647414537, min values: -2.558791007225312, max values: 3.247416277295021, median values: -0.0011566514063812, and quantile values: 0.25 -0.524590\n0.50 -0.001157\n0.75 0.579861\nName: 3122, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3966214402867017, std values: 0.9533453740257567, min values: -2.542889966859849, max values: 6.0, median values: -0.58109954025214, and quantile values: 0.25 -1.091033\n0.50 -0.581100\n0.75 0.160469\nName: 3123, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49684602014520546, std values: 0.8539544787255919, min values: -2.64479559868397, max values: 6.0, median values: -0.4785778717941228, and quantile values: 0.25 -1.137292\n0.50 -0.478578\n0.75 0.077877\nName: 3124, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11404622854785637, std values: 0.8114570673170953, min values: -2.6404955031131814, max values: 6.0, median values: 0.0421054904221623, and quantile values: 0.25 -0.419123\n0.50 0.042105\n0.75 0.598522\nName: 3125, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23815815801760268, std values: 0.8911293903145108, min values: -2.196181211030292, max values: 3.390469008396469, median values: 0.1569273161476594, and quantile values: 0.25 -0.436627\n0.50 0.156927\n0.75 0.874775\nName: 3126, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14096930400454213, std values: 1.028006039441788, min values: -2.6270253558526173, max values: 4.0, median values: 0.2347005577047148, and quantile values: 0.25 -0.534799\n0.50 0.234701\n0.75 0.949698\nName: 3127, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12019729854719485, std values: 0.9288118871303864, min values: -2.739804196611005, max values: 6.0, median values: 0.2045079375676601, and quantile values: 0.25 -0.496978\n0.50 0.204508\n0.75 0.761381\nName: 3128, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6529552906095089, std values: 0.8723134374874527, min values: -2.73836943861057, max values: 3.0, median values: -0.8373382600769803, and quantile values: 0.25 -1.327360\n0.50 -0.837338\n0.75 -0.152106\nName: 3129, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37219656975440285, std values: 0.9263598190032676, min values: -2.919359491767569, max values: 6.0, median values: -0.4763308129197694, and quantile values: 0.25 -1.102708\n0.50 -0.476331\n0.75 0.247012\nName: 3130, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10241886495322246, std values: 0.77871963626886, min values: -2.021565395333485, max values: 6.0, median values: 0.1540900858871952, and quantile values: 0.25 -0.415572\n0.50 0.154090\n0.75 0.576541\nName: 3131, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2787893216993652, std values: 0.8088537419090938, min values: -2.1587143377696023, max values: 3.434669824302974, median values: -0.3233220858749754, and quantile values: 0.25 -0.869554\n0.50 -0.323322\n0.75 0.229456\nName: 3132, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6889774294055837, std values: 1.0693296664858947, min values: -2.6002114382740698, max values: 3.496479817235339, median values: 0.7730137755480199, and quantile values: 0.25 -0.009856\n0.50 0.773014\n0.75 1.509207\nName: 3133, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4333472823049359, std values: 0.9249120752734472, min values: -2.841647375415054, max values: 3.667275230673496, median values: -0.5789164167524479, and quantile values: 0.25 -1.179138\n0.50 -0.578916\n0.75 0.188628\nName: 3134, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2940896987834374, std values: 0.8848149141239691, min values: -2.876502173242568, max values: 3.280245386470253, median values: -0.2543771411101354, and quantile values: 0.25 -0.921796\n0.50 -0.254377\n0.75 0.286078\nName: 3135, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26011738613616664, std values: 1.2437670842432713, min values: -2.8282523283494294, max values: 3.1106274661862763, median values: -0.3824448889812988, and quantile values: 0.25 -1.213268\n0.50 -0.382445\n0.75 0.624029\nName: 3136, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6935530933752295, std values: 0.8220927774423892, min values: -1.881375210891137, max values: 3.0, median values: 0.7794639965409043, and quantile values: 0.25 0.123857\n0.50 0.779464\n0.75 1.324798\nName: 3137, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.259531827977028, std values: 0.9891551415032539, min values: -2.8531572940820533, max values: 3.4758930087721422, median values: 0.2215044235833198, and quantile values: 0.25 -0.503696\n0.50 0.221504\n0.75 0.970912\nName: 3138, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05564975424283414, std values: 1.0985395121799686, min values: -2.5631847770497496, max values: 4.0, median values: 0.0147957396100511, and quantile values: 0.25 -0.840766\n0.50 0.014796\n0.75 0.772394\nName: 3139, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3257687589170495, std values: 0.953707434542476, min values: -2.5624611946462936, max values: 5.0, median values: 0.4327422126035616, and quantile values: 0.25 -0.250083\n0.50 0.432742\n0.75 1.018598\nName: 3140, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43244118529788966, std values: 1.0502446503986356, min values: -2.3922473154067863, max values: 5.0, median values: 0.4390838188028638, and quantile values: 0.25 -0.373746\n0.50 0.439084\n0.75 1.257084\nName: 3141, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2408191554129081, std values: 0.7312339867243147, min values: -2.179853905073574, max values: 6.0, median values: -0.2223253158481593, and quantile values: 0.25 -0.748710\n0.50 -0.222325\n0.75 0.249396\nName: 3142, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0965126274337159, std values: 0.8287811938855731, min values: -2.048935494746508, max values: 3.163266084685921, median values: -0.1928648502624022, and quantile values: 0.25 -0.690760\n0.50 -0.192865\n0.75 0.440386\nName: 3143, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06958844706488493, std values: 0.8207080889171285, min values: -2.0437322601529133, max values: 4.0, median values: -0.0776838476802166, and quantile values: 0.25 -0.623093\n0.50 -0.077684\n0.75 0.459126\nName: 3144, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25516782960376677, std values: 0.9137915686127178, min values: -2.673124659932621, max values: 6.0, median values: -0.3192913344684265, and quantile values: 0.25 -0.845791\n0.50 -0.319291\n0.75 0.289326\nName: 3145, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18659146501922846, std values: 0.7504580951263962, min values: -1.990286087074009, max values: 3.0838352979250487, median values: -0.2447114644065259, and quantile values: 0.25 -0.681703\n0.50 -0.244711\n0.75 0.220858\nName: 3146, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44843529993128045, std values: 1.0621224649980732, min values: -2.1073045553985543, max values: 5.0, median values: 0.4097811825826767, and quantile values: 0.25 -0.389914\n0.50 0.409781\n0.75 1.375012\nName: 3147, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20904185516864573, std values: 0.8605749042048342, min values: -2.380420273231799, max values: 4.0, median values: 0.2367903984241051, and quantile values: 0.25 -0.400033\n0.50 0.236790\n0.75 0.831714\nName: 3148, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5922854256143778, std values: 0.9230725139848677, min values: -2.105967784650795, max values: 4.0, median values: 0.5527463366386111, and quantile values: 0.25 -0.014789\n0.50 0.552746\n0.75 1.205508\nName: 3149, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7388006562701847, std values: 0.8592628616980156, min values: -2.469941537133514, max values: 4.0, median values: 0.7916493716836501, and quantile values: 0.25 0.152468\n0.50 0.791649\n0.75 1.414498\nName: 3150, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5256005053617013, std values: 1.182023276032436, min values: -2.92272757463548, max values: 6.0, median values: -0.5645703108486594, and quantile values: 0.25 -1.414305\n0.50 -0.564570\n0.75 0.293296\nName: 3151, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4739886421077919, std values: 0.9626628227640716, min values: -2.525362520654854, max values: 5.0, median values: -0.5901182801115665, and quantile values: 0.25 -1.257448\n0.50 -0.590118\n0.75 0.157726\nName: 3152, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13939691102574692, std values: 0.771112430310631, min values: -2.168439708950287, max values: 3.1106274661862763, median values: -0.1087463881867115, and quantile values: 0.25 -0.684299\n0.50 -0.108746\n0.75 0.349623\nName: 3153, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3779983798701506, std values: 0.8213844649407256, min values: -3.1175233493066874, max values: 3.155379154255993, median values: -0.4498126600778511, and quantile values: 0.25 -0.930105\n0.50 -0.449813\n0.75 0.108580\nName: 3154, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35890442276617857, std values: 0.9755042246397436, min values: -2.419659473655063, max values: 4.243835016543704, median values: 0.2631508287371475, and quantile values: 0.25 -0.377474\n0.50 0.263151\n0.75 1.051830\nName: 3155, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.106331979833068, std values: 1.0906414304568872, min values: -2.727901130262228, max values: 4.0, median values: -1.17902764560093, and quantile values: 0.25 -2.073454\n0.50 -1.179028\n0.75 -0.234968\nName: 3156, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4642203536454897, std values: 0.8927683469138353, min values: -2.1067975134574946, max values: 6.0, median values: -0.6456910544373372, and quantile values: 0.25 -1.160955\n0.50 -0.645691\n0.75 0.117477\nName: 3157, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19815002361663234, std values: 0.8424317544295252, min values: -2.119118875804272, max values: 6.0, median values: 0.2179238243552463, and quantile values: 0.25 -0.370808\n0.50 0.217924\n0.75 0.742528\nName: 3158, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0612985195941476, std values: 1.0348528568153912, min values: -2.58513369695146, max values: 4.0, median values: 0.13808492290624, and quantile values: 0.25 -0.515348\n0.50 0.138085\n0.75 0.702660\nName: 3159, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20021066326385834, std values: 0.7709666791579799, min values: -2.6899145007874274, max values: 3.379902545505621, median values: -0.2089082217575546, and quantile values: 0.25 -0.730499\n0.50 -0.208908\n0.75 0.284357\nName: 3160, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26573239157232775, std values: 0.9813527305398309, min values: -2.034483421188461, max values: 5.0, median values: 0.2677289605618965, and quantile values: 0.25 -0.447219\n0.50 0.267729\n0.75 0.940942\nName: 3161, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5580368691030005, std values: 0.9814362813362001, min values: -2.605844844843939, max values: 4.0, median values: -0.6832240266699421, and quantile values: 0.25 -1.318345\n0.50 -0.683224\n0.75 0.112239\nName: 3162, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9433459695422151, std values: 1.4916970643896152, min values: -2.9029979285382743, max values: 3.784832159836258, median values: -1.7011564491094269, and quantile values: 0.25 -2.278687\n0.50 -1.701156\n0.75 0.447772\nName: 3163, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7244433588162221, std values: 1.0899657151808164, min values: -1.9664909660582977, max values: 4.0, median values: 0.7660225219172159, and quantile values: 0.25 -0.102612\n0.50 0.766023\n0.75 1.608861\nName: 3164, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2515719825955862, std values: 0.8682250695590387, min values: -2.4540853055744134, max values: 3.2328207660681025, median values: -0.306075249470635, and quantile values: 0.25 -0.947647\n0.50 -0.306075\n0.75 0.341133\nName: 3165, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2800763869401606, std values: 0.9898329649375889, min values: -2.58513369695146, max values: 4.0, median values: 0.2702529978723607, and quantile values: 0.25 -0.346538\n0.50 0.270253\n0.75 0.939695\nName: 3166, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5747304598940594, std values: 1.0572470591786474, min values: -2.769191083399913, max values: 3.0, median values: -0.4605538775243338, and quantile values: 0.25 -1.222286\n0.50 -0.460554\n0.75 0.121776\nName: 3167, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15596213818892965, std values: 0.8938180625123593, min values: -2.724017888297919, max values: 3.0, median values: -0.096454328756167, and quantile values: 0.25 -0.778122\n0.50 -0.096454\n0.75 0.457382\nName: 3168, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10360686031776667, std values: 1.0601543401539602, min values: -2.58513369695146, max values: 4.0, median values: 0.1263830774326191, and quantile values: 0.25 -0.700942\n0.50 0.126383\n0.75 0.918157\nName: 3169, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2577154139338368, std values: 1.0083041927399956, min values: -3.242093130849769, max values: 3.1395741599540568, median values: 0.3547785841998925, and quantile values: 0.25 -0.405236\n0.50 0.354779\n0.75 0.962652\nName: 3170, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06747631207869045, std values: 0.7638729184534833, min values: -2.783691185534105, max values: 3.867701659180865, median values: -0.0906733558050194, and quantile values: 0.25 -0.566618\n0.50 -0.090673\n0.75 0.366229\nName: 3171, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.002545588460589052, std values: 1.3254642766461981, min values: -2.928515832252388, max values: 5.0, median values: 0.1377508779091567, and quantile values: 0.25 -0.763553\n0.50 0.137751\n0.75 0.938406\nName: 3172, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7293783824183689, std values: 1.059913321542421, min values: -3.318456222573461, max values: 3.455472209455805, median values: -0.8430348291164469, and quantile values: 0.25 -1.532492\n0.50 -0.843035\n0.75 -0.010272\nName: 3173, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05625475725669289, std values: 0.8386192633420434, min values: -2.300042081328127, max values: 4.0, median values: 0.0896237063616369, and quantile values: 0.25 -0.541629\n0.50 0.089624\n0.75 0.642650\nName: 3174, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1180645874233485, std values: 0.8476013694711707, min values: -2.521882829270847, max values: 4.0, median values: 0.1615292767461663, and quantile values: 0.25 -0.403492\n0.50 0.161529\n0.75 0.689446\nName: 3175, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12425346463092324, std values: 0.7373995050856559, min values: -2.2272703849889663, max values: 3.250922035035844, median values: -0.1242583633095202, and quantile values: 0.25 -0.648560\n0.50 -0.124258\n0.75 0.367493\nName: 3176, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4055628321335968, std values: 0.8288116322387059, min values: -2.469941537133514, max values: 4.0, median values: 0.4513672326482011, and quantile values: 0.25 -0.190478\n0.50 0.451367\n0.75 1.021334\nName: 3177, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29697955928540126, std values: 1.0655665023961471, min values: -2.928515832252388, max values: 5.0, median values: -0.1356605313326518, and quantile values: 0.25 -0.974216\n0.50 -0.135661\n0.75 0.444295\nName: 3178, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.010138523225319582, std values: 0.8292402247642882, min values: -2.537573835824454, max values: 6.0, median values: -0.0631344831050515, and quantile values: 0.25 -0.568372\n0.50 -0.063134\n0.75 0.495075\nName: 3179, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.422637097528301, std values: 0.8522659556992561, min values: -2.39180940730784, max values: 4.243835016543704, median values: 0.4433924829493745, and quantile values: 0.25 -0.124139\n0.50 0.443392\n0.75 0.956211\nName: 3180, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04193005611836547, std values: 0.9120434135399093, min values: -2.622408470084112, max values: 3.260388056018088, median values: 0.0512179673476717, and quantile values: 0.25 -0.601068\n0.50 0.051218\n0.75 0.518995\nName: 3181, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18620488905921215, std values: 0.8318005186169874, min values: -2.607565022042742, max values: 4.0, median values: -0.1716217113910151, and quantile values: 0.25 -0.633089\n0.50 -0.171622\n0.75 0.296480\nName: 3182, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1470389128197996, std values: 0.9978042821162444, min values: -2.643887016977268, max values: 6.0, median values: -0.2654233292830446, and quantile values: 0.25 -0.818958\n0.50 -0.265423\n0.75 0.524845\nName: 3183, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.009929678448070472, std values: 0.8328282033782132, min values: -2.4536054974529624, max values: 6.0, median values: -0.0721951738911174, and quantile values: 0.25 -0.576334\n0.50 -0.072195\n0.75 0.581817\nName: 3184, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16371462127870182, std values: 0.7953142017239961, min values: -2.0854901680147853, max values: 4.0, median values: 0.14940395207215, and quantile values: 0.25 -0.318596\n0.50 0.149404\n0.75 0.642447\nName: 3185, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23467977576944876, std values: 1.0200063202370622, min values: -2.1548749249906303, max values: 5.0, median values: 0.2001898547663604, and quantile values: 0.25 -0.574104\n0.50 0.200190\n0.75 1.040494\nName: 3186, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.018236800284818944, std values: 0.7872772961891006, min values: -2.097362986026047, max values: 6.0, median values: -0.0663081454698786, and quantile values: 0.25 -0.542211\n0.50 -0.066308\n0.75 0.477439\nName: 3187, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10652932032489414, std values: 0.8334532524925777, min values: -2.315439689490704, max values: 2.898237445269887, median values: 0.1428905518622921, and quantile values: 0.25 -0.485079\n0.50 0.142891\n0.75 0.687826\nName: 3188, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25762323558124606, std values: 0.8258045790041224, min values: -2.6412681606926487, max values: 3.415255285860171, median values: -0.3262761526278416, and quantile values: 0.25 -0.795007\n0.50 -0.326276\n0.75 0.191444\nName: 3189, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.008366961883740656, std values: 0.8697485400004336, min values: -2.6800544037614658, max values: 4.0, median values: 0.0399150609496667, and quantile values: 0.25 -0.478445\n0.50 0.039915\n0.75 0.487582\nName: 3190, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25717123921161067, std values: 0.8137102486844219, min values: -2.048198631046896, max values: 3.379902545505621, median values: -0.3347471050480973, and quantile values: 0.25 -0.862881\n0.50 -0.334747\n0.75 0.259950\nName: 3191, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4790022017986699, std values: 0.9426733238837175, min values: -2.684072796644972, max values: 6.0, median values: -0.5495825299404027, and quantile values: 0.25 -1.118958\n0.50 -0.549583\n0.75 0.111312\nName: 3192, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.369835267609876, std values: 0.9752297528563405, min values: -2.622408470084112, max values: 3.670892362631932, median values: -0.3235354482646101, and quantile values: 0.25 -1.030046\n0.50 -0.323535\n0.75 0.303104\nName: 3193, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22218243155365758, std values: 0.9115290078054907, min values: -2.693453432157769, max values: 3.415255285860171, median values: -0.2633129455552578, and quantile values: 0.25 -0.897284\n0.50 -0.263313\n0.75 0.393359\nName: 3194, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03564441932773298, std values: 0.8462583520919437, min values: -2.537573835824454, max values: 6.0, median values: 0.0057668510537713, and quantile values: 0.25 -0.637335\n0.50 0.005767\n0.75 0.539386\nName: 3195, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15042895845830667, std values: 1.0748241137198928, min values: -2.684072796644972, max values: 6.0, median values: -0.1521336546808883, and quantile values: 0.25 -0.767948\n0.50 -0.152134\n0.75 0.579405\nName: 3196, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.270177777640489, std values: 0.9346036575856758, min values: -2.127780263056179, max values: 3.9905524164385566, median values: -0.4319664936593768, and quantile values: 0.25 -0.960251\n0.50 -0.431966\n0.75 0.292704\nName: 3197, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12652614809838647, std values: 0.8068278925913548, min values: -2.0276171973711654, max values: 3.141939528112806, median values: 0.1688640688145649, and quantile values: 0.25 -0.412697\n0.50 0.168864\n0.75 0.657364\nName: 3198, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44724237937188005, std values: 0.6984548377234204, min values: -2.2915911556076085, max values: 3.0, median values: 0.4562208718438871, and quantile values: 0.25 0.036618\n0.50 0.456221\n0.75 0.868213\nName: 3199, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3957157452801415, std values: 0.8695890429635609, min values: -2.5213149333948146, max values: 3.709787027503053, median values: 0.3921813915184164, and quantile values: 0.25 -0.155741\n0.50 0.392181\n0.75 0.919585\nName: 3200, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12572698396864004, std values: 0.9580327146001557, min values: -2.580492024304656, max values: 4.0, median values: 0.0844255624527315, and quantile values: 0.25 -0.530350\n0.50 0.084426\n0.75 0.715734\nName: 3201, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1206810047121286, std values: 0.905898922043015, min values: -2.1180797445897666, max values: 5.0, median values: -0.1402088566343658, and quantile values: 0.25 -0.795574\n0.50 -0.140209\n0.75 0.534539\nName: 3202, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7803187284273175, std values: 1.095531014935558, min values: -2.542889966859849, max values: 6.0, median values: 0.8394879074346258, and quantile values: 0.25 0.008319\n0.50 0.839488\n0.75 1.632895\nName: 3203, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30483676635127066, std values: 1.0704902932657077, min values: -3.045947208515832, max values: 6.0, median values: -0.1648503854414648, and quantile values: 0.25 -0.998818\n0.50 -0.164850\n0.75 0.483345\nName: 3204, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.392753891411728, std values: 0.8935897587320896, min values: -2.097362986026047, max values: 3.0315977762793005, median values: -0.5039373825824569, and quantile values: 0.25 -1.102997\n0.50 -0.503937\n0.75 0.165800\nName: 3205, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.3761573192132608, std values: 1.047247765433462, min values: -2.727901130262228, max values: 4.0, median values: -1.7632933770559232, and quantile values: 0.25 -2.140406\n0.50 -1.763293\n0.75 -0.695171\nName: 3206, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.00591593126937348, std values: 0.8663788149909161, min values: -3.00972886875607, max values: 3.760287110694155, median values: 0.0134248017738188, and quantile values: 0.25 -0.502626\n0.50 0.013425\n0.75 0.518401\nName: 3207, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20078835166829218, std values: 1.028548985456795, min values: -2.9622221028070275, max values: 6.0, median values: -0.15820508499908, and quantile values: 0.25 -0.793233\n0.50 -0.158205\n0.75 0.451764\nName: 3208, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3400946050608214, std values: 1.0226622198955961, min values: -2.119118875804272, max values: 4.243835016543704, median values: 0.3626378767842281, and quantile values: 0.25 -0.472386\n0.50 0.362638\n0.75 1.157813\nName: 3209, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28150901548802654, std values: 0.7906035601804041, min values: -1.990286087074009, max values: 3.528773265847577, median values: 0.2558788506315859, and quantile values: 0.25 -0.195707\n0.50 0.255879\n0.75 0.775106\nName: 3210, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1754518412233997, std values: 0.8096890265527751, min values: -2.0323067612940227, max values: 5.0, median values: 0.1318815212800658, and quantile values: 0.25 -0.328782\n0.50 0.131882\n0.75 0.667253\nName: 3211, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42603590755176857, std values: 0.8230090421421706, min values: -1.9699298801385488, max values: 5.0, median values: 0.4840179159451301, and quantile values: 0.25 -0.099405\n0.50 0.484018\n0.75 0.978170\nName: 3212, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2823928636910655, std values: 1.0190544975827185, min values: -2.6603025395856053, max values: 5.0, median values: 0.2796569414959345, and quantile values: 0.25 -0.260680\n0.50 0.279657\n0.75 0.987979\nName: 3213, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.028441315078440808, std values: 0.8488887657150307, min values: -2.607565022042742, max values: 4.0, median values: 0.071553066564279, and quantile values: 0.25 -0.556687\n0.50 0.071553\n0.75 0.621489\nName: 3214, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6701721011460131, std values: 1.1780734611120427, min values: -2.981718296512785, max values: 5.0, median values: -0.624135198676859, and quantile values: 0.25 -1.703976\n0.50 -0.624135\n0.75 0.234027\nName: 3215, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10426256381587484, std values: 0.931698339715547, min values: -2.2375992821507573, max values: 3.135426854633533, median values: -0.0492877794718762, and quantile values: 0.25 -0.583661\n0.50 -0.049288\n0.75 0.720659\nName: 3216, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08333816536776924, std values: 0.718994878571389, min values: -2.6603025395856053, max values: 5.0, median values: -0.1229415628192011, and quantile values: 0.25 -0.535747\n0.50 -0.122942\n0.75 0.342823\nName: 3217, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2793233317913322, std values: 0.7676748961274584, min values: -2.5501488616953263, max values: 3.0, median values: 0.3153278045873249, and quantile values: 0.25 -0.242360\n0.50 0.315328\n0.75 0.807376\nName: 3218, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5084586649433329, std values: 0.8647419026609844, min values: -2.64479559868397, max values: 6.0, median values: 0.58382886211726, and quantile values: 0.25 -0.036074\n0.50 0.583829\n0.75 1.055536\nName: 3219, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39472036299532826, std values: 0.9438574728961319, min values: -2.688157591415518, max values: 3.0, median values: -0.4285673178933551, and quantile values: 0.25 -1.032466\n0.50 -0.428567\n0.75 0.199263\nName: 3220, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14831427133990613, std values: 1.282315984509259, min values: -2.815821936576896, max values: 3.477886732511886, median values: 0.1172828635693278, and quantile values: 0.25 -0.878982\n0.50 0.117283\n0.75 0.749585\nName: 3221, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3139059062758626, std values: 0.9802025059953876, min values: -2.837386543755612, max values: 5.0, median values: -0.4120442338877452, and quantile values: 0.25 -1.004724\n0.50 -0.412044\n0.75 0.310003\nName: 3222, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.743190930964036, std values: 0.9120064599334363, min values: -2.2038853164231766, max values: 3.3337116327022187, median values: 0.8838890393195086, and quantile values: 0.25 0.113956\n0.50 0.883889\n0.75 1.433004\nName: 3223, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1056090172641402, std values: 0.7808691906844658, min values: -2.2272703849889663, max values: 3.0, median values: -0.1671678636391819, and quantile values: 0.25 -0.707696\n0.50 -0.167168\n0.75 0.412427\nName: 3224, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18911499566344142, std values: 0.8221674277962543, min values: -2.100754849305273, max values: 2.7005950455604486, median values: -0.2051942685929364, and quantile values: 0.25 -0.841896\n0.50 -0.205194\n0.75 0.393401\nName: 3225, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29211096743660997, std values: 0.8350274144931072, min values: -2.933035609461076, max values: 5.0, median values: -0.4047633036724008, and quantile values: 0.25 -0.913132\n0.50 -0.404763\n0.75 0.266749\nName: 3226, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6296477968834505, std values: 0.7817138219126252, min values: -1.9426828178266249, max values: 3.306454397423372, median values: 0.7098694411264896, and quantile values: 0.25 0.120187\n0.50 0.709869\n0.75 1.154769\nName: 3227, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04700423767498398, std values: 1.3349808407551245, min values: -2.8246479422601736, max values: 6.0, median values: 0.2036150629276212, and quantile values: 0.25 -0.871867\n0.50 0.203615\n0.75 0.953575\nName: 3228, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02634305623462892, std values: 0.913575969956533, min values: -2.3162442721058745, max values: 3.455472209455805, median values: -0.1053395889687102, and quantile values: 0.25 -0.620453\n0.50 -0.105340\n0.75 0.466475\nName: 3229, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6988812537049143, std values: 0.913394833384382, min values: -2.1052796288777285, max values: 5.0, median values: 0.8508794890320241, and quantile values: 0.25 0.111295\n0.50 0.850879\n0.75 1.328862\nName: 3230, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26178572083266916, std values: 0.9005820571568227, min values: -2.1754302383979485, max values: 5.0, median values: -0.328270931468332, and quantile values: 0.25 -0.971556\n0.50 -0.328271\n0.75 0.344227\nName: 3231, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14873717404718018, std values: 0.9007201723979071, min values: -2.3184884946917497, max values: 6.0, median values: 0.1855730251878194, and quantile values: 0.25 -0.509850\n0.50 0.185573\n0.75 0.876553\nName: 3232, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40386005563419075, std values: 0.7985886040225808, min values: -2.297470235621029, max values: 3.8226908388056136, median values: -0.5046891372680669, and quantile values: 0.25 -0.993248\n0.50 -0.504689\n0.75 0.080695\nName: 3233, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09599145792949147, std values: 0.8707204666264895, min values: -2.673124659932621, max values: 6.0, median values: -0.0893864127193816, and quantile values: 0.25 -0.606911\n0.50 -0.089386\n0.75 0.414876\nName: 3234, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29308076761506235, std values: 1.008199204087216, min values: -2.091430750756192, max values: 4.0, median values: 0.247304062733832, and quantile values: 0.25 -0.497570\n0.50 0.247304\n0.75 1.103300\nName: 3235, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01464386253799795, std values: 0.875550905564404, min values: -2.5961021427111413, max values: 3.867701659180865, median values: 0.1014910977475303, and quantile values: 0.25 -0.560550\n0.50 0.101491\n0.75 0.604243\nName: 3236, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3029764548064192, std values: 0.9507864087065082, min values: -2.3808324358856225, max values: 3.0, median values: 0.3624911364357452, and quantile values: 0.25 -0.413743\n0.50 0.362491\n0.75 1.107539\nName: 3237, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30619131211461353, std values: 0.8723549077833935, min values: -3.242093130849769, max values: 3.306454397423372, median values: -0.3158743143529419, and quantile values: 0.25 -0.836179\n0.50 -0.315874\n0.75 0.222425\nName: 3238, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2460201979290625, std values: 0.8657096823149368, min values: -2.501932933646304, max values: 6.0, median values: -0.3257895204782677, and quantile values: 0.25 -0.916064\n0.50 -0.325790\n0.75 0.319639\nName: 3239, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.031871095969415314, std values: 1.265212457420345, min values: -2.693453432157769, max values: 3.867701659180865, median values: 0.0733800337442242, and quantile values: 0.25 -0.964480\n0.50 0.073380\n0.75 0.911795\nName: 3240, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3223635776963896, std values: 1.0759754703548279, min values: -2.5953860446419177, max values: 5.0, median values: -0.4871245460420356, and quantile values: 0.25 -1.159987\n0.50 -0.487125\n0.75 0.381408\nName: 3241, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14731396441310798, std values: 0.9212014524194471, min values: -2.442256129120324, max values: 6.0, median values: -0.2457691440791778, and quantile values: 0.25 -0.886267\n0.50 -0.245769\n0.75 0.499628\nName: 3242, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35272118475729947, std values: 0.9273172764730472, min values: -2.1067975134574946, max values: 3.0932086550988465, median values: 0.2829804466302518, and quantile values: 0.25 -0.333087\n0.50 0.282980\n0.75 1.025404\nName: 3243, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08194917704141, std values: 0.7639422626084398, min values: -2.156806272086999, max values: 3.0, median values: 0.0954030086371295, and quantile values: 0.25 -0.431860\n0.50 0.095403\n0.75 0.567168\nName: 3244, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03258879812466263, std values: 0.9726858600984126, min values: -2.56026492390943, max values: 4.243835016543704, median values: 0.0994760049293073, and quantile values: 0.25 -0.688607\n0.50 0.099476\n0.75 0.721394\nName: 3245, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03395973411861455, std values: 1.0487136600319495, min values: -2.7542003929097176, max values: 5.0, median values: -0.0170885783920435, and quantile values: 0.25 -0.607982\n0.50 -0.017089\n0.75 0.700277\nName: 3246, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4153653349168648, std values: 0.8616403723553034, min values: -2.778044916685896, max values: 3.0, median values: -0.4399010308054306, and quantile values: 0.25 -0.977807\n0.50 -0.439901\n0.75 0.102377\nName: 3247, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6710970244880122, std values: 0.9960915362424864, min values: -2.1214123321459715, max values: 3.1395741599540568, median values: 0.6838889934006173, and quantile values: 0.25 -0.073072\n0.50 0.683889\n0.75 1.482642\nName: 3248, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2747681154125379, std values: 0.9662498464615379, min values: -2.486556664247513, max values: 3.709787027503053, median values: -0.3527908761662857, and quantile values: 0.25 -1.067911\n0.50 -0.352791\n0.75 0.396758\nName: 3249, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6887134656329811, std values: 0.8968233933995831, min values: -1.97877142617342, max values: 5.0, median values: 0.7433986227176449, and quantile values: 0.25 0.031345\n0.50 0.743399\n0.75 1.317494\nName: 3250, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23369802154623548, std values: 0.8283705260046897, min values: -2.662750916816848, max values: 5.0, median values: 0.2790556036208532, and quantile values: 0.25 -0.342422\n0.50 0.279056\n0.75 0.820344\nName: 3251, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3455324300561839, std values: 0.9623845105880768, min values: -2.521882829270847, max values: 4.0, median values: 0.3290193099997947, and quantile values: 0.25 -0.216518\n0.50 0.329019\n0.75 0.959231\nName: 3252, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1732542620839854, std values: 0.77092111421987, min values: -2.1819329670786605, max values: 3.132053530264631, median values: -0.1630361114765939, and quantile values: 0.25 -0.726729\n0.50 -0.163036\n0.75 0.347006\nName: 3253, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5559853939981079, std values: 0.9592203357969966, min values: -2.1154918763173005, max values: 3.670892362631932, median values: 0.6863015700096448, and quantile values: 0.25 -0.039309\n0.50 0.686302\n0.75 1.212693\nName: 3254, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2629861219208944, std values: 0.8372452523733597, min values: -2.4536054974529624, max values: 6.0, median values: 0.271390160425131, and quantile values: 0.25 -0.274134\n0.50 0.271390\n0.75 0.806315\nName: 3255, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4745472226572478, std values: 0.7566496270237605, min values: -2.919359491767569, max values: 6.0, median values: -0.578540080503247, and quantile values: 0.25 -1.008203\n0.50 -0.578540\n0.75 -0.008537\nName: 3256, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36657219213711456, std values: 0.8527266067430062, min values: -2.3344113078233786, max values: 4.026668017837955, median values: 0.4161179917529989, and quantile values: 0.25 -0.238152\n0.50 0.416118\n0.75 1.006790\nName: 3257, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02527665242565447, std values: 0.8258414945697596, min values: -2.011468604219464, max values: 3.047545592545638, median values: -0.1169019999051078, and quantile values: 0.25 -0.601068\n0.50 -0.116902\n0.75 0.486544\nName: 3258, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5679133824490894, std values: 0.8847253212808376, min values: -2.876502173242568, max values: 3.528773265847577, median values: -0.6849332089719992, and quantile values: 0.25 -1.228103\n0.50 -0.684933\n0.75 0.005205\nName: 3259, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2828921474147695, std values: 0.9439493948597798, min values: -2.0109169260219955, max values: 5.0, median values: 0.2575519460227777, and quantile values: 0.25 -0.452191\n0.50 0.257552\n0.75 0.990833\nName: 3260, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.685060322697226, std values: 1.1745977609330998, min values: -2.12073996675014, max values: 3.3014869995452325, median values: 0.6671346717813249, and quantile values: 0.25 -0.253791\n0.50 0.667135\n0.75 1.734322\nName: 3261, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16030170335021754, std values: 0.8272942064927049, min values: -2.074944808708433, max values: 3.090297571450676, median values: -0.2011740091296539, and quantile values: 0.25 -0.728186\n0.50 -0.201174\n0.75 0.337399\nName: 3262, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.6784733076974436, std values: 1.3202992213119278, min values: -3.045947208515832, max values: 6.0, median values: -2.094787931821739, and quantile values: 0.25 -2.409977\n0.50 -2.094788\n0.75 -1.770244\nName: 3263, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.356041595435861, std values: 0.9532635698572393, min values: -2.733804248449497, max values: 3.280245386470253, median values: -0.3110429598133015, and quantile values: 0.25 -0.943298\n0.50 -0.311043\n0.75 0.220688\nName: 3264, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19470989682300618, std values: 1.100806917270404, min values: -2.5825978442440407, max values: 6.0, median values: 0.1412214362723246, and quantile values: 0.25 -0.665631\n0.50 0.141221\n0.75 1.008747\nName: 3265, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03171062121315303, std values: 0.9812796445456613, min values: -2.5122218748354936, max values: 3.0, median values: 0.0334389567138625, and quantile values: 0.25 -0.664362\n0.50 0.033439\n0.75 0.725403\nName: 3266, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17923703238263675, std values: 0.9859900185233113, min values: -2.6320986139293034, max values: 3.0, median values: -0.0741762564133189, and quantile values: 0.25 -0.679962\n0.50 -0.074176\n0.75 0.446220\nName: 3267, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4613295455937379, std values: 1.2223487948010132, min values: -2.590643619371846, max values: 4.0, median values: 0.4228486843420477, and quantile values: 0.25 -0.428904\n0.50 0.422849\n0.75 1.435469\nName: 3268, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03215855618649403, std values: 1.0009345636888558, min values: -2.876502173242568, max values: 2.894191510795044, median values: 0.0690439354874526, and quantile values: 0.25 -0.499691\n0.50 0.069044\n0.75 0.662781\nName: 3269, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2560097979036081, std values: 1.0955484665523587, min values: -2.5961021427111413, max values: 3.721862465295849, median values: -0.2534608545737957, and quantile values: 0.25 -1.007496\n0.50 -0.253461\n0.75 0.529353\nName: 3270, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07326536055779923, std values: 0.9240087223675367, min values: -2.349293916724472, max values: 3.438667023696733, median values: -0.2411678447901568, and quantile values: 0.25 -0.792705\n0.50 -0.241168\n0.75 0.547642\nName: 3271, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1157178573744847, std values: 0.8394672069616271, min values: -2.1547684225520003, max values: 4.0, median values: -0.2547976800881209, and quantile values: 0.25 -0.733632\n0.50 -0.254798\n0.75 0.436930\nName: 3272, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17451757686189853, std values: 1.0156732201440832, min values: -2.0801885729223746, max values: 3.0, median values: -0.1787130253523679, and quantile values: 0.25 -1.043239\n0.50 -0.178713\n0.75 0.580545\nName: 3273, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1675559492234026, std values: 0.7116228850385254, min values: -1.8388207765377544, max values: 3.135426854633533, median values: 0.1900857646785949, and quantile values: 0.25 -0.290361\n0.50 0.190086\n0.75 0.611293\nName: 3274, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07194028850345693, std values: 0.9050565251561346, min values: -2.7211321814067784, max values: 3.627976272701048, median values: -0.0075458433872991, and quantile values: 0.25 -0.614655\n0.50 -0.007546\n0.75 0.527940\nName: 3275, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19958756286653595, std values: 0.9403146335433462, min values: -2.919359491767569, max values: 5.0, median values: -0.2997609791555597, and quantile values: 0.25 -0.787399\n0.50 -0.299761\n0.75 0.400058\nName: 3276, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10749463311809879, std values: 0.895137972586961, min values: -2.6313905370571384, max values: 3.0362913622068968, median values: -0.1867218698852902, and quantile values: 0.25 -0.796326\n0.50 -0.186722\n0.75 0.503133\nName: 3277, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24721918940169768, std values: 0.9188315196360072, min values: -2.93129584560762, max values: 6.0, median values: -0.2803173979184394, and quantile values: 0.25 -0.774957\n0.50 -0.280317\n0.75 0.296604\nName: 3278, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.111521146790066, std values: 0.8105779740915301, min values: -2.136064736636534, max values: 3.0, median values: -0.0628033555226823, and quantile values: 0.25 -0.704421\n0.50 -0.062803\n0.75 0.463052\nName: 3279, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4589909786608796, std values: 0.9288949757284605, min values: -2.5695487141177, max values: 4.0, median values: -0.5931731788423609, and quantile values: 0.25 -1.106318\n0.50 -0.593173\n0.75 0.112310\nName: 3280, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05140368898731435, std values: 0.7883191583481026, min values: -2.8531572940820533, max values: 3.477886732511886, median values: 0.064590715256626, and quantile values: 0.25 -0.450643\n0.50 0.064591\n0.75 0.526108\nName: 3281, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19993246080508406, std values: 1.021058107713538, min values: -2.6800544037614658, max values: 4.0, median values: -0.1279033002796112, and quantile values: 0.25 -0.806619\n0.50 -0.127903\n0.75 0.491285\nName: 3282, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5657772110621248, std values: 0.9377547954472952, min values: -2.572123985342288, max values: 4.0, median values: 0.614258269612081, and quantile values: 0.25 -0.070916\n0.50 0.614258\n0.75 1.190780\nName: 3283, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.064484282017023, std values: 0.7188394596911528, min values: -1.908491894726756, max values: 4.0, median values: 0.0674673869923011, and quantile values: 0.25 -0.399649\n0.50 0.067467\n0.75 0.509418\nName: 3284, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24005736536752448, std values: 0.8346955349977558, min values: -2.02927552142332, max values: 5.0, median values: 0.2558421151556391, and quantile values: 0.25 -0.357525\n0.50 0.255842\n0.75 0.885777\nName: 3285, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3530577702875335, std values: 0.8343316477784571, min values: -2.015650649816468, max values: 2.9534763778843827, median values: 0.3837785250705939, and quantile values: 0.25 -0.252068\n0.50 0.383779\n0.75 0.995190\nName: 3286, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.010862497672374051, std values: 0.8081468104951597, min values: -2.475272102106495, max values: 4.0, median values: 0.0110434890073902, and quantile values: 0.25 -0.560252\n0.50 0.011043\n0.75 0.568011\nName: 3287, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31428238415163207, std values: 0.8282681197348022, min values: -2.673549169958716, max values: 6.0, median values: -0.3619359247352814, and quantile values: 0.25 -0.823666\n0.50 -0.361936\n0.75 0.179230\nName: 3288, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39149536757485004, std values: 0.8069044679646433, min values: -2.7648443048846945, max values: 4.278004674434932, median values: -0.528184552865813, and quantile values: 0.25 -0.949810\n0.50 -0.528185\n0.75 0.046696\nName: 3289, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0207488709055124, std values: 1.3101640490279154, min values: -2.727901130262228, max values: 4.0, median values: -1.6207345438050902, and quantile values: 0.25 -2.140406\n0.50 -1.620735\n0.75 0.046834\nName: 3290, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3502240617751897, std values: 0.9401730769405482, min values: -2.622408470084112, max values: 3.0, median values: -0.3130668951560012, and quantile values: 0.25 -1.036716\n0.50 -0.313067\n0.75 0.286370\nName: 3291, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17989069711269026, std values: 0.8869244332457902, min values: -2.5689076212724418, max values: 5.0, median values: -0.2386380952878619, and quantile values: 0.25 -0.736562\n0.50 -0.238638\n0.75 0.366759\nName: 3292, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20841955630348047, std values: 1.0247772079823148, min values: -3.00972886875607, max values: 3.0, median values: -0.20566650453395, and quantile values: 0.25 -0.870584\n0.50 -0.205667\n0.75 0.472417\nName: 3293, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01724560293842126, std values: 0.8420994325862888, min values: -2.022474596515232, max values: 5.0, median values: -0.0992214731951909, and quantile values: 0.25 -0.635042\n0.50 -0.099221\n0.75 0.591073\nName: 3294, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3094391976220723, std values: 0.7955991649336414, min values: -1.896126576059412, max values: 3.598076523509904, median values: 0.3428730345261989, and quantile values: 0.25 -0.231519\n0.50 0.342873\n0.75 0.824388\nName: 3295, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.021064251082399173, std values: 0.7817292536404364, min values: -2.1272800589171945, max values: 6.0, median values: -0.0478540448818262, and quantile values: 0.25 -0.485234\n0.50 -0.047854\n0.75 0.474183\nName: 3296, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14506548536052394, std values: 0.8915069172124492, min values: -2.688157591415518, max values: 5.0, median values: -0.2289223549939328, and quantile values: 0.25 -0.752245\n0.50 -0.228922\n0.75 0.386729\nName: 3297, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01792426817364678, std values: 0.8082141083006319, min values: -2.124111428422639, max values: 3.0, median values: -0.0253861842557462, and quantile values: 0.25 -0.564903\n0.50 -0.025386\n0.75 0.477306\nName: 3298, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10357285935863356, std values: 0.8932802032487129, min values: -2.632854336056873, max values: 3.1995118554872866, median values: 0.0504337701341673, and quantile values: 0.25 -0.483345\n0.50 0.050434\n0.75 0.713737\nName: 3299, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08196318449725372, std values: 0.8080194650490451, min values: -2.5689076212724418, max values: 5.0, median values: 0.036249673334071, and quantile values: 0.25 -0.487187\n0.50 0.036250\n0.75 0.634604\nName: 3300, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14033443099614895, std values: 1.0141993444790465, min values: -2.87684958111886, max values: 2.865194562892494, median values: -0.0333562926857315, and quantile values: 0.25 -0.625543\n0.50 -0.033356\n0.75 0.492092\nName: 3301, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36376953179463445, std values: 0.9518579319278181, min values: -2.6820581866633817, max values: 3.397048482165858, median values: -0.4397493504226735, and quantile values: 0.25 -1.094540\n0.50 -0.439749\n0.75 0.274763\nName: 3302, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4068368416953958, std values: 0.9861016092321764, min values: -2.6320986139293034, max values: 3.405671179043623, median values: 0.5227036668001728, and quantile values: 0.25 -0.157987\n0.50 0.522704\n0.75 1.139081\nName: 3303, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11496835286578477, std values: 0.7863218875971907, min values: -2.300042081328127, max values: 4.0, median values: -0.1893987438842911, and quantile values: 0.25 -0.652678\n0.50 -0.189399\n0.75 0.338014\nName: 3304, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26330003422595444, std values: 0.8305713457243628, min values: -2.267175988438518, max values: 5.0, median values: 0.3299924777244902, and quantile values: 0.25 -0.309714\n0.50 0.329992\n0.75 0.809368\nName: 3305, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.023339602481666562, std values: 0.8838856802961598, min values: -2.1371444472445806, max values: 6.0, median values: 0.0328815199700331, and quantile values: 0.25 -0.655341\n0.50 0.032882\n0.75 0.690760\nName: 3306, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.1250578606903439, std values: 1.2575926322996138, min values: -2.727901130262228, max values: 4.0, median values: -1.8010397252977122, and quantile values: 0.25 -2.168815\n0.50 -1.801040\n0.75 0.044794\nName: 3307, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0675843653595723, std values: 0.9264376596506616, min values: -2.769191083399913, max values: 3.379902545505621, median values: -0.0871343635942254, and quantile values: 0.25 -0.658020\n0.50 -0.087134\n0.75 0.579079\nName: 3308, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1846771423878357, std values: 0.8652741432048137, min values: -2.601639132009086, max values: 6.0, median values: 0.2096963988593478, and quantile values: 0.25 -0.428593\n0.50 0.209696\n0.75 0.815881\nName: 3309, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31397111246786374, std values: 0.8563619997486767, min values: -2.119621483749997, max values: 3.241738645014612, median values: -0.4017163765187729, and quantile values: 0.25 -0.894569\n0.50 -0.401716\n0.75 0.160469\nName: 3310, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.420507807601248, std values: 1.0273310431126375, min values: -3.0687217584296813, max values: 3.709787027503053, median values: 0.5740387916569308, and quantile values: 0.25 -0.214485\n0.50 0.574039\n0.75 1.160219\nName: 3311, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07982654448690499, std values: 1.0446713045010112, min values: -2.64479559868397, max values: 6.0, median values: 0.0362159760780614, and quantile values: 0.25 -0.743399\n0.50 0.036216\n0.75 0.670312\nName: 3312, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.020082393877130667, std values: 0.8256199577523503, min values: -2.1144606839090367, max values: 3.236860296211547, median values: 0.0109902658175125, and quantile values: 0.25 -0.567789\n0.50 0.010990\n0.75 0.547714\nName: 3313, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05459698970080597, std values: 0.8445305304022817, min values: -2.580492024304656, max values: 3.4217036547572275, median values: 0.0511076658253155, and quantile values: 0.25 -0.583481\n0.50 0.051108\n0.75 0.718399\nName: 3314, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40263859886836445, std values: 0.8639723358545297, min values: -2.6685266729136536, max values: 6.0, median values: -0.4550599091637988, and quantile values: 0.25 -1.014747\n0.50 -0.455060\n0.75 0.075205\nName: 3315, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1681760387886435, std values: 1.0474061042476663, min values: -2.981718296512785, max values: 5.0, median values: 0.1481136124040454, and quantile values: 0.25 -0.579177\n0.50 0.148114\n0.75 0.948401\nName: 3316, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34827401505367034, std values: 1.2096640192143988, min values: -2.876502173242568, max values: 3.8226908388056136, median values: 0.5246533181871482, and quantile values: 0.25 -0.509931\n0.50 0.524653\n0.75 1.284070\nName: 3317, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.012445454667736966, std values: 0.746759302981834, min values: -2.1775880058603043, max values: 3.2701555622463814, median values: -0.0606511924477578, and quantile values: 0.25 -0.499622\n0.50 -0.060651\n0.75 0.446435\nName: 3318, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24968478711074557, std values: 0.936030789557443, min values: -2.8998169811239416, max values: 3.362228250221886, median values: 0.1989602494795498, and quantile values: 0.25 -0.357114\n0.50 0.198960\n0.75 0.837271\nName: 3319, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3050605507617379, std values: 0.8630685296736351, min values: -2.72346435408924, max values: 4.0, median values: 0.3641970994523735, and quantile values: 0.25 -0.293804\n0.50 0.364197\n0.75 0.908711\nName: 3320, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5075126357062703, std values: 0.8821446773857686, min values: -2.497627580948261, max values: 4.243835016543704, median values: -0.5634847932922673, and quantile values: 0.25 -1.109802\n0.50 -0.563485\n0.75 0.014376\nName: 3321, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3328268403099776, std values: 0.8984938653307444, min values: -2.643887016977268, max values: 6.0, median values: -0.4027017376530644, and quantile values: 0.25 -0.937195\n0.50 -0.402702\n0.75 0.251888\nName: 3322, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04362446052489932, std values: 0.8179653534797579, min values: -2.004849625062012, max values: 3.438667023696733, median values: -0.0330531931950502, and quantile values: 0.25 -0.550748\n0.50 -0.033053\n0.75 0.593206\nName: 3323, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17587810435125006, std values: 0.9223615316244055, min values: -2.5046447434119337, max values: 4.0, median values: 0.2277202018651432, and quantile values: 0.25 -0.464210\n0.50 0.227720\n0.75 0.781331\nName: 3324, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.011421633734811375, std values: 0.8185352315139198, min values: -2.271143658239337, max values: 6.0, median values: 0.0343758318052835, and quantile values: 0.25 -0.600644\n0.50 0.034376\n0.75 0.534363\nName: 3325, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15361865654747212, std values: 0.9254531425835848, min values: -2.916688926075616, max values: 6.0, median values: -0.2284833610577976, and quantile values: 0.25 -0.795061\n0.50 -0.228483\n0.75 0.432431\nName: 3326, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13160583213515764, std values: 0.8152982332170275, min values: -2.537573835824454, max values: 6.0, median values: 0.1371059561494441, and quantile values: 0.25 -0.454282\n0.50 0.137106\n0.75 0.714163\nName: 3327, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4843671302734412, std values: 0.9249993367456685, min values: -2.290451346822418, max values: 6.0, median values: -0.6299963234546383, and quantile values: 0.25 -1.252485\n0.50 -0.629996\n0.75 0.129160\nName: 3328, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.029271099170082367, std values: 1.0369565205435471, min values: -2.679056533720636, max values: 5.0, median values: 0.0639347367467095, and quantile values: 0.25 -0.607536\n0.50 0.063935\n0.75 0.622757\nName: 3329, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49676426525697964, std values: 0.8589324907921493, min values: -3.990552416438729, max values: 3.319774799707247, median values: -0.5908498113722492, and quantile values: 0.25 -1.122432\n0.50 -0.590850\n0.75 -0.037159\nName: 3330, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13358027465903077, std values: 0.8755860286098425, min values: -2.3922473154067863, max values: 5.0, median values: 0.151651032084802, and quantile values: 0.25 -0.498942\n0.50 0.151651\n0.75 0.782041\nName: 3331, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4580202586008611, std values: 0.868124186821723, min values: -2.5743883495350026, max values: 5.0, median values: 0.5010015549702547, and quantile values: 0.25 -0.138276\n0.50 0.501002\n0.75 1.045849\nName: 3332, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.48029299291970434, std values: 1.1129067983358725, min values: -2.076913966555547, max values: 5.0, median values: 0.4789754419644622, and quantile values: 0.25 -0.319581\n0.50 0.478975\n0.75 1.166864\nName: 3333, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3928063938538124, std values: 0.8248540350276482, min values: -2.055430953058359, max values: 6.0, median values: -0.5038760311963595, and quantile values: 0.25 -1.052158\n0.50 -0.503876\n0.75 0.177237\nName: 3334, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5354456703206831, std values: 0.9287674170834378, min values: -2.769191083399913, max values: 3.0, median values: -0.5042825425569483, and quantile values: 0.25 -1.104141\n0.50 -0.504283\n0.75 0.030777\nName: 3335, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5033345323406383, std values: 0.7377811486931513, min values: -1.9051793866692528, max values: 3.1888787873512885, median values: 0.5674275591679175, and quantile values: 0.25 0.032243\n0.50 0.567428\n0.75 0.986640\nName: 3336, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22044071242113114, std values: 0.9041960213574665, min values: -2.589966702820638, max values: 6.0, median values: 0.1629523887553351, and quantile values: 0.25 -0.469832\n0.50 0.162952\n0.75 0.860928\nName: 3337, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09577322304012276, std values: 0.9074107325520258, min values: -2.9029979285382743, max values: 6.0, median values: 0.2059079073514972, and quantile values: 0.25 -0.406057\n0.50 0.205908\n0.75 0.689711\nName: 3338, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08585457312532824, std values: 0.8438317194725444, min values: -2.033934758806792, max values: 2.698489090703386, median values: -0.1464889353430473, and quantile values: 0.25 -0.656895\n0.50 -0.146489\n0.75 0.454020\nName: 3339, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14235411841047332, std values: 1.0017724109098944, min values: -2.693453432157769, max values: 3.055874031381882, median values: 0.0491774886362019, and quantile values: 0.25 -0.640328\n0.50 0.049177\n0.75 0.860770\nName: 3340, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04097969165843468, std values: 0.7563417225978741, min values: -2.3771558481240653, max values: 4.0, median values: 0.0178188784568354, and quantile values: 0.25 -0.453228\n0.50 0.017819\n0.75 0.531911\nName: 3341, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29249823955205373, std values: 1.1191173509553092, min values: -3.05087304133376, max values: 5.0, median values: -0.5173194915276624, and quantile values: 0.25 -1.196804\n0.50 -0.517319\n0.75 0.431906\nName: 3342, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17540128854285417, std values: 1.035371971153018, min values: -2.264034258932616, max values: 3.709787027503053, median values: 0.0282942766319607, and quantile values: 0.25 -0.583997\n0.50 0.028294\n0.75 0.862646\nName: 3343, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22614546409159703, std values: 0.864534554835875, min values: -2.525881048269423, max values: 3.0, median values: -0.2007243932710501, and quantile values: 0.25 -0.928576\n0.50 -0.200724\n0.75 0.407575\nName: 3344, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05679745045898487, std values: 0.8306262581006162, min values: -2.5213149333948146, max values: 3.627976272701048, median values: 0.0745628744814014, and quantile values: 0.25 -0.513310\n0.50 0.074563\n0.75 0.549665\nName: 3345, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5631918668148408, std values: 1.0975710871782998, min values: -2.622408470084112, max values: 3.477886732511886, median values: 0.744088929421823, and quantile values: 0.25 -0.093113\n0.50 0.744089\n0.75 1.326867\nName: 3346, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32996634700018923, std values: 1.0599666264253107, min values: -2.6668673616981367, max values: 4.0, median values: -0.2605826419526153, and quantile values: 0.25 -0.930542\n0.50 -0.260583\n0.75 0.329218\nName: 3347, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07618667847363539, std values: 0.910897670104923, min values: -2.3051489257282016, max values: 5.0, median values: 0.0949166907455115, and quantile values: 0.25 -0.594060\n0.50 0.094917\n0.75 0.708091\nName: 3348, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1768275739675122, std values: 0.7871722834095896, min values: -2.4176069991382847, max values: 6.0, median values: -0.2780822227645926, and quantile values: 0.25 -0.758627\n0.50 -0.278082\n0.75 0.330666\nName: 3349, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16267726716262076, std values: 0.8101334654825767, min values: -2.0773212586940626, max values: 3.709787027503053, median values: 0.0674949890798308, and quantile values: 0.25 -0.431678\n0.50 0.067495\n0.75 0.708630\nName: 3350, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24719106035121097, std values: 0.916200266394898, min values: -2.7688682710567485, max values: 2.9878163550503385, median values: 0.3157997847420754, and quantile values: 0.25 -0.246354\n0.50 0.315800\n0.75 0.835863\nName: 3351, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03489353185523696, std values: 0.87400876344072, min values: -2.739804196611005, max values: 6.0, median values: 0.0054252712866897, and quantile values: 0.25 -0.596431\n0.50 0.005425\n0.75 0.524927\nName: 3352, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2445764646448417, std values: 0.9175583439822854, min values: -2.0884920198234647, max values: 3.867701659180865, median values: 0.2664063610847911, and quantile values: 0.25 -0.401313\n0.50 0.266406\n0.75 0.787550\nName: 3353, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18790269472689322, std values: 0.9610700325233152, min values: -2.5953860446419177, max values: 3.0, median values: -0.0431399414798993, and quantile values: 0.25 -0.696447\n0.50 -0.043140\n0.75 0.424038\nName: 3354, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23480411366174087, std values: 0.7999843115354325, min values: -2.0297074151331134, max values: 3.2328207660681025, median values: -0.2736766628786949, and quantile values: 0.25 -0.805552\n0.50 -0.273677\n0.75 0.217195\nName: 3355, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2015827873683241, std values: 0.9621971029398034, min values: -2.876502173242568, max values: 3.306454397423372, median values: -0.2472309581846123, and quantile values: 0.25 -0.790466\n0.50 -0.247231\n0.75 0.423211\nName: 3356, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2209247871719026, std values: 0.8237087746647421, min values: -2.148415299650676, max values: 6.0, median values: 0.2785402514675002, and quantile values: 0.25 -0.336088\n0.50 0.278540\n0.75 0.789880\nName: 3357, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4821190097513075, std values: 0.8808102418546909, min values: -1.957806761622272, max values: 5.0, median values: 0.4922162628912622, and quantile values: 0.25 -0.113214\n0.50 0.492216\n0.75 1.068733\nName: 3358, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30325520539575845, std values: 0.9673705192880251, min values: -2.579952672199424, max values: 6.0, median values: -0.4222801677437574, and quantile values: 0.25 -1.025749\n0.50 -0.422280\n0.75 0.285274\nName: 3359, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5722959061850809, std values: 0.8996777449566473, min values: -2.869671295224012, max values: 6.0, median values: -0.6779802254658515, and quantile values: 0.25 -1.219507\n0.50 -0.677980\n0.75 -0.033604\nName: 3360, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04271330697044072, std values: 0.8645225931486397, min values: -2.067884917892885, max values: 6.0, median values: -0.0488009805125624, and quantile values: 0.25 -0.572870\n0.50 -0.048801\n0.75 0.616029\nName: 3361, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7830684965626289, std values: 1.6873282093840047, min values: -3.101800431129944, max values: 6.0, median values: -1.6618096645987426, and quantile values: 0.25 -2.165598\n0.50 -1.661810\n0.75 0.666628\nName: 3362, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40617313041789965, std values: 0.9381233249678466, min values: -2.136604280590623, max values: 3.867701659180865, median values: 0.4781516137283784, and quantile values: 0.25 -0.270327\n0.50 0.478152\n0.75 1.095100\nName: 3363, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.47598815031629543, std values: 1.7561060505635446, min values: -3.530441124712342, max values: 4.243835016543704, median values: -1.6018646636960157, and quantile values: 0.25 -1.907762\n0.50 -1.601865\n0.75 0.875502\nName: 3364, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4866267313997302, std values: 0.7104425632156569, min values: -2.580492024304656, max values: 3.096891534584617, median values: -0.5878132075996173, and quantile values: 0.25 -0.962915\n0.50 -0.587813\n0.75 -0.076413\nName: 3365, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24196028172421613, std values: 0.8715738353827766, min values: -2.0754191617391693, max values: 5.0, median values: 0.2010897030610739, and quantile values: 0.25 -0.335738\n0.50 0.201090\n0.75 0.789391\nName: 3366, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6388044819309047, std values: 0.7892348247156802, min values: -2.25057896262818, max values: 3.0, median values: -0.8180725625196573, and quantile values: 0.25 -1.230934\n0.50 -0.818073\n0.75 -0.168576\nName: 3367, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1570170002373306, std values: 0.9657877639507163, min values: -2.090169083820303, max values: 3.336438412828754, median values: -0.3223356637794735, and quantile values: 0.25 -0.835829\n0.50 -0.322336\n0.75 0.410990\nName: 3368, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09651944754013982, std values: 0.817678781067496, min values: -2.476285024008804, max values: 3.147276669305989, median values: -0.1306593061088262, and quantile values: 0.25 -0.646723\n0.50 -0.130659\n0.75 0.393342\nName: 3369, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04193306596056816, std values: 0.7400213045065817, min values: -2.4737574649270093, max values: 3.2266531185902125, median values: 0.010437589163779, and quantile values: 0.25 -0.420111\n0.50 0.010438\n0.75 0.501256\nName: 3370, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35109032703019055, std values: 1.2886179217239613, min values: -2.6820581866633817, max values: 3.438667023696733, median values: -0.0268283805627078, and quantile values: 0.25 -1.772890\n0.50 -0.026828\n0.75 0.697804\nName: 3371, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1055178203134685, std values: 0.8525112779251776, min values: -2.589966702820638, max values: 6.0, median values: 0.0815347517349457, and quantile values: 0.25 -0.488780\n0.50 0.081535\n0.75 0.674950\nName: 3372, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31458449135130817, std values: 0.7596277195151319, min values: -2.14258071674473, max values: 4.026668017837955, median values: -0.3664313108065644, and quantile values: 0.25 -0.832941\n0.50 -0.366431\n0.75 0.109107\nName: 3373, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20568253396215774, std values: 1.1750272689045058, min values: -2.92272757463548, max values: 6.0, median values: 0.457507669517317, and quantile values: 0.25 -0.319031\n0.50 0.457508\n0.75 1.029204\nName: 3374, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1443086372636621, std values: 0.8733719907151982, min values: -1.9942775479092616, max values: 5.0, median values: -0.1868339654659931, and quantile values: 0.25 -0.857032\n0.50 -0.186834\n0.75 0.468162\nName: 3375, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09433454331220566, std values: 1.079260775148991, min values: -2.8467638118011016, max values: 5.0, median values: 0.03548283546578, and quantile values: 0.25 -0.739603\n0.50 0.035483\n0.75 0.691914\nName: 3376, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05001117447488723, std values: 0.8889219288016957, min values: -2.572123985342288, max values: 4.0, median values: -0.0897898149131725, and quantile values: 0.25 -0.637470\n0.50 -0.089790\n0.75 0.540479\nName: 3377, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18463030433428318, std values: 0.7394784039136979, min values: -2.02241615711966, max values: 5.0, median values: 0.1942374887485038, and quantile values: 0.25 -0.286247\n0.50 0.194237\n0.75 0.642336\nName: 3378, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11797513961768326, std values: 0.7721633864542207, min values: -2.446475285346346, max values: 3.455472209455805, median values: 0.0489017641611712, and quantile values: 0.25 -0.408008\n0.50 0.048902\n0.75 0.597222\nName: 3379, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.029723978214590444, std values: 0.7910778237984776, min values: -2.841647375415054, max values: 5.0, median values: -0.1149746950545261, and quantile values: 0.25 -0.578884\n0.50 -0.114975\n0.75 0.478154\nName: 3380, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.021487638522661025, std values: 0.9290994295806625, min values: -2.419659473655063, max values: 4.278004674434932, median values: -0.0743042958651684, and quantile values: 0.25 -0.668211\n0.50 -0.074304\n0.75 0.541191\nName: 3381, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3129195904048089, std values: 1.0829472556301916, min values: -2.622709665346679, max values: 3.5581019918925243, median values: 0.3444328806775815, and quantile values: 0.25 -0.413588\n0.50 0.344433\n0.75 1.078633\nName: 3382, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3137212831118763, std values: 0.9750867595115635, min values: -2.6652153608723106, max values: 5.0, median values: 0.3955562159048007, and quantile values: 0.25 -0.355156\n0.50 0.395556\n0.75 1.048382\nName: 3383, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1539056632264752, std values: 1.0219822177774243, min values: -2.031005372878356, max values: 3.397048482165858, median values: 0.0476334791339598, and quantile values: 0.25 -0.667178\n0.50 0.047633\n0.75 0.863365\nName: 3384, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20015370363827226, std values: 1.4157650203655863, min values: -2.960014365184806, max values: 6.0, median values: 0.2724760714463912, and quantile values: 0.25 -0.811377\n0.50 0.272476\n0.75 1.347674\nName: 3385, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3529158405937814, std values: 0.9667276650381936, min values: -2.226424194672579, max values: 4.0, median values: -0.4116583376014738, and quantile values: 0.25 -1.182234\n0.50 -0.411658\n0.75 0.335767\nName: 3386, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09701203267256785, std values: 0.7610241195483787, min values: -2.1238235090034925, max values: 5.0, median values: -0.0568479530567105, and quantile values: 0.25 -0.643217\n0.50 -0.056848\n0.75 0.404158\nName: 3387, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4895959034438534, std values: 1.024472421113906, min values: -2.541693081833126, max values: 3.110498035652072, median values: 0.5625757459508409, and quantile values: 0.25 -0.238930\n0.50 0.562576\n0.75 1.296896\nName: 3388, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21129902203017728, std values: 0.7997166862541408, min values: -2.136064736636534, max values: 3.0, median values: 0.2757481391096322, and quantile values: 0.25 -0.338157\n0.50 0.275748\n0.75 0.781421\nName: 3389, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43412491174789447, std values: 1.0732875122274732, min values: -3.05087304133376, max values: 5.0, median values: 0.6594228726740148, and quantile values: 0.25 -0.122377\n0.50 0.659423\n0.75 1.160358\nName: 3390, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18381114508207733, std values: 1.0493968462603045, min values: -2.148634675597145, max values: 3.163266084685921, median values: 0.1829539549530698, and quantile values: 0.25 -0.639399\n0.50 0.182954\n0.75 1.086658\nName: 3391, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5270933113904486, std values: 0.976758513384597, min values: -2.5774281843044924, max values: 6.0, median values: 0.6189851070125418, and quantile values: 0.25 -0.178629\n0.50 0.618985\n0.75 1.284751\nName: 3392, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.010821585411503555, std values: 0.7743201403926211, min values: -2.0884920198234647, max values: 3.5021977227593246, median values: -0.0179159127803191, and quantile values: 0.25 -0.527500\n0.50 -0.017916\n0.75 0.460475\nName: 3393, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3779058899662374, std values: 1.022142009579868, min values: -2.6320986139293034, max values: 4.278004674434932, median values: -0.5328912193326445, and quantile values: 0.25 -1.073950\n0.50 -0.532891\n0.75 0.221902\nName: 3394, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07851510610707256, std values: 0.8949094396377141, min values: -2.1371444472445806, max values: 3.4566816047670264, median values: 0.1492647115470459, and quantile values: 0.25 -0.583885\n0.50 0.149265\n0.75 0.724579\nName: 3395, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6223067983541165, std values: 0.9278962574851816, min values: -2.0391990984927144, max values: 4.243835016543704, median values: 0.6775341735652823, and quantile values: 0.25 -0.066178\n0.50 0.677534\n0.75 1.359445\nName: 3396, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04449967515000881, std values: 1.0014208287512645, min values: -2.8164291268114208, max values: 4.0, median values: 0.0406041019740535, and quantile values: 0.25 -0.588431\n0.50 0.040604\n0.75 0.585866\nName: 3397, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28692342230636886, std values: 0.9898697955834604, min values: -2.446475285346346, max values: 3.2701555622463814, median values: -0.5399871327192826, and quantile values: 0.25 -0.983523\n0.50 -0.539987\n0.75 0.230039\nName: 3398, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2608695638085328, std values: 0.858903755360018, min values: -2.841647375415054, max values: 5.0, median values: -0.3539229435545739, and quantile values: 0.25 -0.894652\n0.50 -0.353923\n0.75 0.269248\nName: 3399, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22548206860970496, std values: 1.0808007837064109, min values: -2.622408470084112, max values: 4.243835016543704, median values: 0.3562043410436894, and quantile values: 0.25 -0.345748\n0.50 0.356204\n0.75 0.927704\nName: 3400, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33867286532408286, std values: 0.9645686867881579, min values: -2.643887016977268, max values: 6.0, median values: -0.4521608042968599, and quantile values: 0.25 -1.032547\n0.50 -0.452161\n0.75 0.280230\nName: 3401, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09448936454526449, std values: 0.9839148127858629, min values: -2.688157591415518, max values: 4.0, median values: -0.1056995987152273, and quantile values: 0.25 -0.657628\n0.50 -0.105700\n0.75 0.527595\nName: 3402, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15637791418795893, std values: 0.7969505839450439, min values: -2.0362317154895964, max values: 5.0, median values: -0.2752780656415033, and quantile values: 0.25 -0.717353\n0.50 -0.275278\n0.75 0.334223\nName: 3403, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10263358559697625, std values: 0.8800572503940458, min values: -2.126457643282694, max values: 3.5908526919299577, median values: -0.1590188300616117, and quantile values: 0.25 -0.694470\n0.50 -0.159019\n0.75 0.406622\nName: 3404, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15199522807605093, std values: 0.8173901758755331, min values: -2.860922438481449, max values: 3.1801075704642923, median values: -0.1692956145340869, and quantile values: 0.25 -0.642621\n0.50 -0.169296\n0.75 0.339353\nName: 3405, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.709205066343391, std values: 0.9908568014741713, min values: -2.687115288423959, max values: 5.0, median values: -0.8329019638977244, and quantile values: 0.25 -1.435006\n0.50 -0.832902\n0.75 -0.135580\nName: 3406, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07630124308261464, std values: 0.8436312540210023, min values: -2.4902145713898545, max values: 3.598076523509904, median values: 0.0258826719547936, and quantile values: 0.25 -0.427376\n0.50 0.025883\n0.75 0.611692\nName: 3407, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30956933885664356, std values: 0.9987938776698019, min values: -2.36120258340179, max values: 3.405671179043623, median values: -0.3850481036327212, and quantile values: 0.25 -1.180187\n0.50 -0.385048\n0.75 0.532646\nName: 3408, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5264674092449408, std values: 0.8836690341388889, min values: -2.5689076212724418, max values: 5.0, median values: -0.6459078707431047, and quantile values: 0.25 -1.212084\n0.50 -0.645908\n0.75 0.024488\nName: 3409, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38762513017751815, std values: 0.9233759314392628, min values: -2.9265160609644223, max values: 6.0, median values: -0.4384592748071908, and quantile values: 0.25 -0.994314\n0.50 -0.438459\n0.75 0.228879\nName: 3410, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6557018732406107, std values: 0.9411094595385701, min values: -2.353226486889878, max values: 3.0, median values: -0.8543732267833076, and quantile values: 0.25 -1.430241\n0.50 -0.854373\n0.75 -0.010520\nName: 3411, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1376967823425543, std values: 0.9060886703842089, min values: -2.113431735038636, max values: 3.236860296211547, median values: -0.211100995686028, and quantile values: 0.25 -0.850247\n0.50 -0.211101\n0.75 0.461684\nName: 3412, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5345734148229926, std values: 1.014457273887999, min values: -2.5293911731823453, max values: 3.0, median values: -0.5617730118215133, and quantile values: 0.25 -1.282115\n0.50 -0.561773\n0.75 0.200600\nName: 3413, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.009486394809160416, std values: 0.8149757551572828, min values: -2.6404955031131814, max values: 5.0, median values: 0.0863969395667627, and quantile values: 0.25 -0.452526\n0.50 0.086397\n0.75 0.539850\nName: 3414, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47810021341916237, std values: 0.9057938306748435, min values: -2.841647375415054, max values: 5.0, median values: 0.4461740386899269, and quantile values: 0.25 -0.105748\n0.50 0.446174\n0.75 1.065073\nName: 3415, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13880941579059497, std values: 0.8208823000235095, min values: -2.3333312203517527, max values: 3.319774799707247, median values: 0.1087911328346183, and quantile values: 0.25 -0.375089\n0.50 0.108791\n0.75 0.641895\nName: 3416, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06574839738430543, std values: 0.8729095717490155, min values: -2.095777247368972, max values: 4.0, median values: -0.002561158914487, and quantile values: 0.25 -0.607252\n0.50 -0.002561\n0.75 0.720689\nName: 3417, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01002039474922365, std values: 1.004928231605781, min values: -3.101800431129944, max values: 6.0, median values: -0.0031119473984562, and quantile values: 0.25 -0.528701\n0.50 -0.003112\n0.75 0.639834\nName: 3418, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43313867404526135, std values: 1.0593088481846533, min values: -2.8663054413554843, max values: 6.0, median values: -0.5800890946901676, and quantile values: 0.25 -1.205508\n0.50 -0.580089\n0.75 0.302957\nName: 3419, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06691246319491428, std values: 0.8762110061960582, min values: -2.724017888297919, max values: 3.260388056018088, median values: -0.0307662656998393, and quantile values: 0.25 -0.610723\n0.50 -0.030766\n0.75 0.500318\nName: 3420, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26626477136582066, std values: 0.9705990662233392, min values: -2.2477784840641744, max values: 4.0, median values: 0.3693517944540977, and quantile values: 0.25 -0.465654\n0.50 0.369352\n0.75 1.032789\nName: 3421, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16229545916556973, std values: 0.7748732039073812, min values: -2.572123985342288, max values: 4.0, median values: -0.1804790744833372, and quantile values: 0.25 -0.690585\n0.50 -0.180479\n0.75 0.302140\nName: 3422, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2950877544466303, std values: 0.8963737726367123, min values: -2.841647375415054, max values: 5.0, median values: -0.3611089297984735, and quantile values: 0.25 -0.886626\n0.50 -0.361109\n0.75 0.286468\nName: 3423, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03441086039728959, std values: 0.7757425112743802, min values: -3.002493140275396, max values: 5.0, median values: -0.0378242242194406, and quantile values: 0.25 -0.493419\n0.50 -0.037824\n0.75 0.522916\nName: 3424, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.311083650240181, std values: 1.2645182978396676, min values: -2.5953860446419177, max values: 3.721862465295849, median values: 0.314210236779543, and quantile values: 0.25 -0.714092\n0.50 0.314210\n0.75 1.319202\nName: 3425, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06718585323211362, std values: 0.914059842449341, min values: -2.873069976951463, max values: 3.1047159712539405, median values: -0.0624593132303252, and quantile values: 0.25 -0.666834\n0.50 -0.062459\n0.75 0.564098\nName: 3426, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20627347246012503, std values: 0.8153946995425173, min values: -2.5825978442440407, max values: 6.0, median values: 0.1851173890998888, and quantile values: 0.25 -0.301151\n0.50 0.185117\n0.75 0.707851\nName: 3427, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09889666265186117, std values: 0.986427275644911, min values: -2.6278943940336483, max values: 4.0, median values: 0.0802780164441683, and quantile values: 0.25 -0.693139\n0.50 0.080278\n0.75 0.769650\nName: 3428, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5380187520166226, std values: 0.8663566567622141, min values: -2.226424194672579, max values: 4.0, median values: 0.5354924419230654, and quantile values: 0.25 -0.008461\n0.50 0.535492\n0.75 1.076646\nName: 3429, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3232445539340011, std values: 0.9726755313838386, min values: -2.64479559868397, max values: 6.0, median values: -0.4161480217832483, and quantile values: 0.25 -1.020172\n0.50 -0.416148\n0.75 0.278450\nName: 3430, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18934016722100444, std values: 0.9363482217598779, min values: -2.469941537133514, max values: 4.0, median values: -0.2444844598307609, and quantile values: 0.25 -0.954530\n0.50 -0.244484\n0.75 0.478207\nName: 3431, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05264209581260147, std values: 1.0909502425554503, min values: -2.6652153608723106, max values: 5.0, median values: -0.1682168091691562, and quantile values: 0.25 -0.738982\n0.50 -0.168217\n0.75 0.494145\nName: 3432, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10264353693078902, std values: 0.7229053153732499, min values: -2.5825978442440407, max values: 6.0, median values: 0.0546376303129518, and quantile values: 0.25 -0.366317\n0.50 0.054638\n0.75 0.533899\nName: 3433, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3278156419367038, std values: 0.9089409485186446, min values: -2.1651055426636536, max values: 3.224152805256112, median values: 0.3910217663033113, and quantile values: 0.25 -0.322390\n0.50 0.391022\n0.75 1.028175\nName: 3434, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4720989116328921, std values: 1.174825676913313, min values: -3.124705982383478, max values: 3.3337116327022187, median values: -0.3169924693482002, and quantile values: 0.25 -1.586287\n0.50 -0.316992\n0.75 0.400468\nName: 3435, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12396267257486114, std values: 1.0170421860735874, min values: -2.038443584566022, max values: 5.0, median values: 0.0836691266371392, and quantile values: 0.25 -0.628477\n0.50 0.083669\n0.75 0.790068\nName: 3436, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06729324394312161, std values: 0.9909514432111464, min values: -2.64479559868397, max values: 6.0, median values: 0.2345547932141439, and quantile values: 0.25 -0.387187\n0.50 0.234555\n0.75 0.701039\nName: 3437, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19222911519662625, std values: 0.9014728798534886, min values: -2.0600063421362025, max values: 2.967906073290372, median values: 0.232103120386656, and quantile values: 0.25 -0.458912\n0.50 0.232103\n0.75 0.870584\nName: 3438, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32948171593760534, std values: 0.9081231580313195, min values: -2.026510692980614, max values: 4.0, median values: 0.2739564051034746, and quantile values: 0.25 -0.324831\n0.50 0.273956\n0.75 0.978971\nName: 3439, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1352429464568939, std values: 0.8545184079298851, min values: -2.0868208093096303, max values: 4.243835016543704, median values: -0.2000934042208401, and quantile values: 0.25 -0.745394\n0.50 -0.200093\n0.75 0.404928\nName: 3440, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0889274010473189, std values: 0.8893338460174782, min values: -2.622408470084112, max values: 3.0, median values: 0.0050121759625643, and quantile values: 0.25 -0.646471\n0.50 0.005012\n0.75 0.515618\nName: 3441, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18009284028573116, std values: 1.072669294753171, min values: -2.92272757463548, max values: 6.0, median values: -0.049811669151854, and quantile values: 0.25 -0.776557\n0.50 -0.049812\n0.75 0.510765\nName: 3442, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22658183687206246, std values: 0.8140923256075183, min values: -2.789830374413015, max values: 4.243835016543704, median values: 0.2164933385595751, and quantile values: 0.25 -0.296530\n0.50 0.216493\n0.75 0.737182\nName: 3443, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0736591676321857, std values: 0.7553837231131141, min values: -1.9623191839850247, max values: 6.0, median values: 0.0492742392839884, and quantile values: 0.25 -0.433339\n0.50 0.049274\n0.75 0.530667\nName: 3444, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6469506325567737, std values: 0.8669384470293859, min values: -2.1447730697608054, max values: 4.0, median values: -0.8211165699358127, and quantile values: 0.25 -1.323752\n0.50 -0.821117\n0.75 -0.123219\nName: 3445, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6682418960272112, std values: 0.9878201717379436, min values: -2.8834699678265463, max values: 5.0, median values: -0.7301045147214656, and quantile values: 0.25 -1.345016\n0.50 -0.730105\n0.75 -0.019086\nName: 3446, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11755625185193552, std values: 0.8928041472493196, min values: -2.5695487141177, max values: 4.0, median values: 0.1442539580805495, and quantile values: 0.25 -0.370023\n0.50 0.144254\n0.75 0.692229\nName: 3447, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09976920188411298, std values: 0.8042486754907631, min values: -2.419133598913117, max values: 3.379902545505621, median values: 0.0757504142020478, and quantile values: 0.25 -0.417531\n0.50 0.075750\n0.75 0.622458\nName: 3448, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18935890891346954, std values: 1.103195276410766, min values: -2.618017870899696, max values: 4.0, median values: -0.3088469856997053, and quantile values: 0.25 -1.040400\n0.50 -0.308847\n0.75 0.528228\nName: 3449, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23830000707594404, std values: 0.8333580762543055, min values: -2.642042398333877, max values: 3.135426854633533, median values: 0.1622988169017212, and quantile values: 0.25 -0.330469\n0.50 0.162299\n0.75 0.756276\nName: 3450, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19065396350615668, std values: 0.9110896370309536, min values: -2.1144606839090367, max values: 3.2266531185902125, median values: -0.2622581938864121, and quantile values: 0.25 -0.831781\n0.50 -0.262258\n0.75 0.364966\nName: 3451, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22256568624261247, std values: 0.9729198761443534, min values: -2.0763692711860644, max values: 5.0, median values: 0.0590786360954113, and quantile values: 0.25 -0.455854\n0.50 0.059079\n0.75 0.860073\nName: 3452, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05140734650278912, std values: 0.8841225482447377, min values: -2.8843374390620142, max values: 6.0, median values: 0.119612451076074, and quantile values: 0.25 -0.467634\n0.50 0.119612\n0.75 0.627245\nName: 3453, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02410429433994619, std values: 0.713550892556185, min values: -2.14340164222234, max values: 3.02009942896863, median values: 0.0653012473316086, and quantile values: 0.25 -0.456465\n0.50 0.065301\n0.75 0.487023\nName: 3454, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29902033545490797, std values: 0.8243144685491516, min values: -2.3051489257282016, max values: 5.0, median values: -0.4080234931632284, and quantile values: 0.25 -0.878384\n0.50 -0.408023\n0.75 0.223906\nName: 3455, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3638854264805624, std values: 0.9464692084738994, min values: -2.5682675825126706, max values: 5.0, median values: 0.4256415714788513, and quantile values: 0.25 -0.329992\n0.50 0.425642\n0.75 1.098593\nName: 3456, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09435860457838736, std values: 0.8165385599114946, min values: -2.6117120822772133, max values: 5.0, median values: 0.1399698579754467, and quantile values: 0.25 -0.465592\n0.50 0.139970\n0.75 0.657892\nName: 3457, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21085298179873246, std values: 0.7981202023851133, min values: -2.1062910125783354, max values: 3.598076523509904, median values: 0.1700450206573412, and quantile values: 0.25 -0.310956\n0.50 0.170045\n0.75 0.717598\nName: 3458, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11981342869043578, std values: 0.9141139983855996, min values: -2.104667097879677, max values: 4.0, median values: 0.0560167052001737, and quantile values: 0.25 -0.464526\n0.50 0.056017\n0.75 0.665322\nName: 3459, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14888037485059033, std values: 0.9382912624567996, min values: -2.8350118695332047, max values: 5.0, median values: -0.1211864653266224, and quantile values: 0.25 -0.675666\n0.50 -0.121186\n0.75 0.432208\nName: 3460, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15125794879019705, std values: 0.7845075631481832, min values: -2.215291168881953, max values: 3.5908526919299577, median values: 0.1068351040326253, and quantile values: 0.25 -0.360580\n0.50 0.106835\n0.75 0.654263\nName: 3461, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21780893958267264, std values: 1.02279436131201, min values: -2.564449278715455, max values: 3.760287110694155, median values: 0.2002380807374388, and quantile values: 0.25 -0.570827\n0.50 0.200238\n0.75 0.969323\nName: 3462, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05397640814740819, std values: 1.096525319111166, min values: -2.6072570508709387, max values: 4.0, median values: 0.073166751416105, and quantile values: 0.25 -0.591499\n0.50 0.073167\n0.75 0.781774\nName: 3463, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08685850222106811, std values: 0.7916259807992355, min values: -2.73836943861057, max values: 3.9905524164385566, median values: 0.1089957152601462, and quantile values: 0.25 -0.437185\n0.50 0.108996\n0.75 0.603780\nName: 3464, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28070063926343625, std values: 0.7257146326197972, min values: -2.5689076212724418, max values: 5.0, median values: -0.2822639109513502, and quantile values: 0.25 -0.777302\n0.50 -0.282264\n0.75 0.158971\nName: 3465, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6309329587824266, std values: 0.8082488773491646, min values: -1.9004658978550264, max values: 6.0, median values: 0.7197702796373195, and quantile values: 0.25 0.093326\n0.50 0.719770\n0.75 1.213859\nName: 3466, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38292701848931, std values: 0.7714606274799876, min values: -2.104270394087118, max values: 5.0, median values: -0.471924214855377, and quantile values: 0.25 -0.967774\n0.50 -0.471924\n0.75 0.136463\nName: 3467, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09008656666032218, std values: 0.845636126034132, min values: -2.119621483749997, max values: 3.627976272701048, median values: -0.0550725873399793, and quantile values: 0.25 -0.683298\n0.50 -0.055073\n0.75 0.456160\nName: 3468, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4249558602914041, std values: 0.8612495003790949, min values: -2.4657737907743, max values: 3.3760121766849016, median values: 0.5055651632958418, and quantile values: 0.25 -0.172309\n0.50 0.505565\n0.75 1.034522\nName: 3469, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6764516802194848, std values: 0.88078776503589, min values: -2.100754849305273, max values: 6.0, median values: 0.785179492105426, and quantile values: 0.25 0.055520\n0.50 0.785179\n0.75 1.364178\nName: 3470, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13363354683011125, std values: 0.7541260633895407, min values: -1.989074010495094, max values: 3.336438412828754, median values: 0.1358184895084987, and quantile values: 0.25 -0.379683\n0.50 0.135818\n0.75 0.611521\nName: 3471, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6876781524276172, std values: 0.895315274673964, min values: -1.8969582903554487, max values: 5.0, median values: 0.775105534196077, and quantile values: 0.25 0.100661\n0.50 0.775106\n0.75 1.318909\nName: 3472, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20777890012006436, std values: 0.9223729955002583, min values: -2.589966702820638, max values: 6.0, median values: 0.1503601343737053, and quantile values: 0.25 -0.445861\n0.50 0.150360\n0.75 0.815804\nName: 3473, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04493487617454017, std values: 0.9241243040684319, min values: -2.3922473154067863, max values: 5.0, median values: 0.0325504597805846, and quantile values: 0.25 -0.671037\n0.50 0.032550\n0.75 0.774845\nName: 3474, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40490651262538707, std values: 0.8726557096705586, min values: -2.342819280743469, max values: 6.0, median values: -0.5132440038957209, and quantile values: 0.25 -1.086232\n0.50 -0.513244\n0.75 0.164962\nName: 3475, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0036816100123015223, std values: 0.8648032259864484, min values: -2.8998169811239416, max values: 3.5581019918925243, median values: -0.0495108728016939, and quantile values: 0.25 -0.533904\n0.50 -0.049511\n0.75 0.503063\nName: 3476, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2962120409517832, std values: 0.9099740198627736, min values: -2.572123985342288, max values: 4.0, median values: 0.3531543177680083, and quantile values: 0.25 -0.355999\n0.50 0.353154\n0.75 0.987286\nName: 3477, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4679402920171994, std values: 1.0758309636676449, min values: -2.673549169958716, max values: 6.0, median values: -0.5649055747814377, and quantile values: 0.25 -1.203068\n0.50 -0.564906\n0.75 0.247499\nName: 3478, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41212311904008697, std values: 0.8856077710135618, min values: -2.27710446206836, max values: 3.2906806286429298, median values: -0.5126502431652481, and quantile values: 0.25 -1.101733\n0.50 -0.512650\n0.75 0.130048\nName: 3479, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3437476531494211, std values: 1.016131968538589, min values: -2.657750824678472, max values: 5.0, median values: -0.4552520127887692, and quantile values: 0.25 -1.128867\n0.50 -0.455252\n0.75 0.339992\nName: 3480, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07787423039189942, std values: 1.0372391585023213, min values: -2.981718296512785, max values: 5.0, median values: 0.0839063027562559, and quantile values: 0.25 -0.740349\n0.50 0.083906\n0.75 0.660690\nName: 3481, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26507757605789833, std values: 0.8220939721796933, min values: -2.510124273981921, max values: 3.0, median values: -0.3072900080481975, and quantile values: 0.25 -0.799348\n0.50 -0.307290\n0.75 0.263427\nName: 3482, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18857280735712106, std values: 0.8756752015199242, min values: -2.049546544677791, max values: 5.0, median values: -0.281146404452976, and quantile values: 0.25 -0.859095\n0.50 -0.281146\n0.75 0.392806\nName: 3483, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24005983619444962, std values: 0.9580047903852625, min values: -2.2837882496430213, max values: 4.0, median values: 0.0889590173754935, and quantile values: 0.25 -0.484417\n0.50 0.088959\n0.75 0.878314\nName: 3484, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.359556317854685, std values: 0.7646928223746281, min values: -2.525362520654854, max values: 5.0, median values: 0.3223936799179313, and quantile values: 0.25 -0.124218\n0.50 0.322394\n0.75 0.846143\nName: 3485, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25336929225116506, std values: 0.8071117674118146, min values: -2.58513369695146, max values: 4.0, median values: -0.2585782057599677, and quantile values: 0.25 -0.759212\n0.50 -0.258578\n0.75 0.234310\nName: 3486, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15663597802092, std values: 0.9725697306191723, min values: -2.841647375415054, max values: 3.02009942896863, median values: -0.1041086764442668, and quantile values: 0.25 -0.842720\n0.50 -0.104109\n0.75 0.511143\nName: 3487, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19765025635960476, std values: 0.7831674142349169, min values: -2.079371595256712, max values: 6.0, median values: 0.2567702159267153, and quantile values: 0.25 -0.311477\n0.50 0.256770\n0.75 0.726739\nName: 3488, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5679003743896345, std values: 0.823313569435043, min values: -1.854662611947356, max values: 4.243835016543704, median values: 0.528755256682664, and quantile values: 0.25 0.071413\n0.50 0.528755\n0.75 1.092220\nName: 3489, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1807950459628076, std values: 0.8546272246717362, min values: -2.10832026762241, max values: 6.0, median values: 0.2107626692721337, and quantile values: 0.25 -0.439839\n0.50 0.210763\n0.75 0.826248\nName: 3490, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35468690668739367, std values: 1.0414127639726274, min values: -2.618746139350171, max values: 3.05919958255637, median values: 0.4490739104394692, and quantile values: 0.25 -0.434300\n0.50 0.449074\n0.75 1.164492\nName: 3491, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12406868155751781, std values: 1.0019728760795803, min values: -2.673124659932621, max values: 6.0, median values: -0.1393257966813954, and quantile values: 0.25 -0.690525\n0.50 -0.139326\n0.75 0.514724\nName: 3492, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22021635422886704, std values: 1.0503960732858857, min values: -2.7884838087481176, max values: 6.0, median values: 0.1198620880195725, and quantile values: 0.25 -0.589729\n0.50 0.119862\n0.75 0.943484\nName: 3493, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2259262966166348, std values: 0.9276970799016777, min values: -1.983480940102163, max values: 5.0, median values: 0.1949841649393551, and quantile values: 0.25 -0.436991\n0.50 0.194984\n0.75 0.774512\nName: 3494, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.031551656793088995, std values: 0.9689619447741475, min values: -2.642042398333877, max values: 3.867701659180865, median values: 0.0815515932735941, and quantile values: 0.25 -0.490112\n0.50 0.081552\n0.75 0.556912\nName: 3495, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37749040735766964, std values: 1.0398988838447563, min values: -2.982771139679002, max values: 4.0, median values: 0.460932147970204, and quantile values: 0.25 -0.124830\n0.50 0.460932\n0.75 0.977865\nName: 3496, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02445239430300705, std values: 0.7896062619444546, min values: -2.0581710137008287, max values: 3.397048482165858, median values: -0.0050121759625643, and quantile values: 0.25 -0.561275\n0.50 -0.005012\n0.75 0.440255\nName: 3497, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02657372490896931, std values: 0.9311468941105353, min values: -2.657750824678472, max values: 5.0, median values: 0.0513834208000208, and quantile values: 0.25 -0.593215\n0.50 0.051383\n0.75 0.713050\nName: 3498, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5571826953755248, std values: 1.0055714549891372, min values: -2.6668673616981367, max values: 4.0, median values: -0.5776794530824445, and quantile values: 0.25 -1.264587\n0.50 -0.577679\n0.75 0.143057\nName: 3499, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08741799682510751, std values: 0.873313121359244, min values: -2.5293911731823453, max values: 3.405671179043623, median values: -0.0297838784852692, and quantile values: 0.25 -0.559100\n0.50 -0.029784\n0.75 0.445234\nName: 3500, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.00810591082356384, std values: 0.7693868087393829, min values: -3.074005993202373, max values: 3.055874031381882, median values: 0.0042069542043125, and quantile values: 0.25 -0.468449\n0.50 0.004207\n0.75 0.474265\nName: 3501, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11005272564319156, std values: 0.7499952223772559, min values: -2.02927552142332, max values: 5.0, median values: 0.1281177607909486, and quantile values: 0.25 -0.383114\n0.50 0.128118\n0.75 0.624498\nName: 3502, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.716291001944072, std values: 0.9473661968183005, min values: -2.9029979285382743, max values: 4.243835016543704, median values: -0.7922761684461895, and quantile values: 0.25 -1.315084\n0.50 -0.792276\n0.75 -0.126161\nName: 3503, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11265787154693582, std values: 0.9500370146630761, min values: -2.580492024304656, max values: 3.4758930087721422, median values: 0.0972198417154681, and quantile values: 0.25 -0.540681\n0.50 0.097220\n0.75 0.679617\nName: 3504, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29650339136551473, std values: 1.1541293383006404, min values: -3.0960472541202715, max values: 6.0, median values: -0.2750206498318044, and quantile values: 0.25 -1.116222\n0.50 -0.275021\n0.75 0.434066\nName: 3505, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07144629462768153, std values: 0.7519006896682126, min values: -2.5759052915632985, max values: 3.5021977227593246, median values: 0.1048411364632792, and quantile values: 0.25 -0.447950\n0.50 0.104841\n0.75 0.538260\nName: 3506, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2274888772446797, std values: 0.8725642780218906, min values: -2.346475851786639, max values: 3.055874031381882, median values: -0.3162966819718736, and quantile values: 0.25 -0.916711\n0.50 -0.316297\n0.75 0.374633\nName: 3507, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.373374273395136, std values: 0.8407596354595184, min values: -2.6820581866633817, max values: 3.569037956734876, median values: -0.383673997765534, and quantile values: 0.25 -0.945104\n0.50 -0.383674\n0.75 0.136940\nName: 3508, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11330723778628425, std values: 0.9567477543989316, min values: -2.6820581866633817, max values: 3.02009942896863, median values: -0.1198898259185487, and quantile values: 0.25 -0.763015\n0.50 -0.119890\n0.75 0.475030\nName: 3509, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31475098931163725, std values: 1.0103145329240948, min values: -2.148634675597145, max values: 5.0, median values: -0.4453074828548859, and quantile values: 0.25 -1.121450\n0.50 -0.445307\n0.75 0.352112\nName: 3510, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19591364394528676, std values: 1.318812318913516, min values: -2.769191083399913, max values: 3.176672644814091, median values: 0.4165084114291396, and quantile values: 0.25 -0.535111\n0.50 0.416508\n0.75 1.173911\nName: 3511, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34815934520487185, std values: 0.8333932601455822, min values: -1.987483703767688, max values: 4.243835016543704, median values: 0.420756182570472, and quantile values: 0.25 -0.199804\n0.50 0.420756\n0.75 0.916100\nName: 3512, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6434157183857219, std values: 0.9021729919818083, min values: -2.157019117459074, max values: 3.306454397423372, median values: 0.7961783706973563, and quantile values: 0.25 0.049038\n0.50 0.796178\n0.75 1.273084\nName: 3513, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27110520763974777, std values: 0.9265964608107302, min values: -2.7230534645798463, max values: 3.055874031381882, median values: 0.3891793406440977, and quantile values: 0.25 -0.168097\n0.50 0.389179\n0.75 0.852859\nName: 3514, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12859152456801556, std values: 0.7851145894095304, min values: -2.058858449350357, max values: 6.0, median values: -0.1711180450820182, and quantile values: 0.25 -0.646782\n0.50 -0.171118\n0.75 0.331166\nName: 3515, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09922791082141294, std values: 1.0972062344398008, min values: -2.160205614279508, max values: 4.278004674434932, median values: -0.3360881554287306, and quantile values: 0.25 -0.916747\n0.50 -0.336088\n0.75 0.493152\nName: 3516, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1624608722879648, std values: 0.7872765763026476, min values: -2.5156802245814003, max values: 4.0, median values: -0.1622269737991436, and quantile values: 0.25 -0.645657\n0.50 -0.162227\n0.75 0.304113\nName: 3517, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23684351918008528, std values: 0.7735159672427702, min values: -2.092815429397888, max values: 5.0, median values: -0.2302326986735698, and quantile values: 0.25 -0.799738\n0.50 -0.230233\n0.75 0.278376\nName: 3518, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6498749975658973, std values: 0.9597909781795403, min values: -2.7079569354156177, max values: 6.0, median values: -0.7808080423732389, and quantile values: 0.25 -1.441756\n0.50 -0.780808\n0.75 -0.016403\nName: 3519, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06971065293696535, std values: 0.866207686896141, min values: -2.5743883495350026, max values: 5.0, median values: 0.1379656193546795, and quantile values: 0.25 -0.454663\n0.50 0.137966\n0.75 0.641423\nName: 3520, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15626633865170336, std values: 0.9314235921702099, min values: -2.5631847770497496, max values: 4.0, median values: -0.2068012022354201, and quantile values: 0.25 -0.894405\n0.50 -0.206801\n0.75 0.489452\nName: 3521, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3813438872583268, std values: 1.0376660802294382, min values: -2.92272757463548, max values: 6.0, median values: 0.4905693793777635, and quantile values: 0.25 -0.318882\n0.50 0.490569\n0.75 1.195113\nName: 3522, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4918162623129996, std values: 1.0600919088072036, min values: -2.6278943940336483, max values: 4.0, median values: -0.5788838537342638, and quantile values: 0.25 -1.433387\n0.50 -0.578884\n0.75 0.277510\nName: 3523, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09751400419583975, std values: 0.7925898639082317, min values: -2.0618486359083783, max values: 6.0, median values: 0.0086503365149562, and quantile values: 0.25 -0.423939\n0.50 0.008650\n0.75 0.605775\nName: 3524, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31384894108859224, std values: 1.0450223527496483, min values: -2.5820330744015787, max values: 4.0, median values: -0.4553653661340385, and quantile values: 0.25 -1.119445\n0.50 -0.455365\n0.75 0.399538\nName: 3525, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -5.1402324015864114e-05, std values: 0.825663680655241, min values: -2.047750152315884, max values: 3.20751086257212, median values: -0.0607891430866811, and quantile values: 0.25 -0.624164\n0.50 -0.060789\n0.75 0.594586\nName: 3526, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16696214098840545, std values: 0.8526388011195076, min values: -2.5293911731823453, max values: 4.243835016543704, median values: -0.1063188854487389, and quantile values: 0.25 -0.655355\n0.50 -0.106319\n0.75 0.373778\nName: 3527, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.006541735057441455, std values: 1.0099637055618726, min values: -2.0868208093096303, max values: 2.9996722348762725, median values: -0.041135636039388, and quantile values: 0.25 -0.815497\n0.50 -0.041136\n0.75 0.847404\nName: 3528, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15659811819787042, std values: 0.7679116942303941, min values: -2.0449028928953306, max values: 3.176672644814091, median values: -0.2461873021265595, and quantile values: 0.25 -0.700851\n0.50 -0.246187\n0.75 0.317177\nName: 3529, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1246976789253859, std values: 0.8322231492353769, min values: -1.995486066459493, max values: 5.0, median values: 0.1372259810961336, and quantile values: 0.25 -0.443666\n0.50 0.137226\n0.75 0.626923\nName: 3530, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13034151002642175, std values: 0.877534850820464, min values: -2.6850842010492566, max values: 6.0, median values: 0.1395805228657314, and quantile values: 0.25 -0.391368\n0.50 0.139581\n0.75 0.632584\nName: 3531, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13778473813780084, std values: 1.0493598598523712, min values: -2.955641696055872, max values: 3.103622965243153, median values: -0.0333308217127239, and quantile values: 0.25 -0.762098\n0.50 -0.033331\n0.75 0.543615\nName: 3532, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.038481229596187, std values: 0.8372022144573493, min values: -2.1238235090034925, max values: 3.022367128892113, median values: 0.1261054809786211, and quantile values: 0.25 -0.536224\n0.50 0.126105\n0.75 0.621180\nName: 3533, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31003988748732564, std values: 1.0973739508128748, min values: -2.710223074556336, max values: 4.0, median values: 0.4504831264719454, and quantile values: 0.25 -0.350855\n0.50 0.450483\n0.75 1.120057\nName: 3534, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18858880257901858, std values: 0.7877550848847532, min values: -2.7314147016889114, max values: 3.9048392686725855, median values: -0.2046317965050933, and quantile values: 0.25 -0.743544\n0.50 -0.204632\n0.75 0.305325\nName: 3535, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.012972414899006992, std values: 0.8715090874252722, min values: -2.1301704007793827, max values: 6.0, median values: -0.0316518857162766, and quantile values: 0.25 -0.568139\n0.50 -0.031652\n0.75 0.503481\nName: 3536, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06763773757836676, std values: 0.8117704975389747, min values: -2.212004168819108, max values: 3.667275230673496, median values: -0.0254215238144276, and quantile values: 0.25 -0.451093\n0.50 -0.025422\n0.75 0.527288\nName: 3537, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0813923220572001, std values: 0.9698161418913522, min values: -2.6652153608723106, max values: 5.0, median values: 0.026220430194548, and quantile values: 0.25 -0.716772\n0.50 0.026220\n0.75 0.648501\nName: 3538, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.422097674299104, std values: 0.830573108423576, min values: -2.679056533720636, max values: 5.0, median values: 0.4793869568811953, and quantile values: 0.25 -0.085393\n0.50 0.479387\n0.75 0.962014\nName: 3539, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2872266218538044, std values: 0.856570905779984, min values: -1.971788405984564, max values: 5.0, median values: 0.2952416689601665, and quantile values: 0.25 -0.313019\n0.50 0.295242\n0.75 0.809473\nName: 3540, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14367220436303144, std values: 1.0624802902538408, min values: -2.727901130262228, max values: 4.0, median values: 0.0208944221851231, and quantile values: 0.25 -0.832357\n0.50 0.020894\n0.75 0.656191\nName: 3541, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1440151632866525, std values: 1.0338898299496058, min values: -2.8451834694312192, max values: 3.0, median values: -0.1326228084529762, and quantile values: 0.25 -0.848351\n0.50 -0.132623\n0.75 0.625859\nName: 3542, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2971304176548243, std values: 0.860330444014339, min values: -2.209543028518217, max values: 3.0, median values: -0.3992648149995036, and quantile values: 0.25 -0.977674\n0.50 -0.399265\n0.75 0.251912\nName: 3543, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.058298210618022386, std values: 0.9960859667802656, min values: -2.801183634509044, max values: 5.0, median values: 0.1555334429841331, and quantile values: 0.25 -0.448943\n0.50 0.155533\n0.75 0.699190\nName: 3544, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2897796428529358, std values: 0.8774881663599076, min values: -2.525881048269423, max values: 3.3014869995452325, median values: -0.3788957004979211, and quantile values: 0.25 -0.904653\n0.50 -0.378896\n0.75 0.278254\nName: 3545, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.00907211963387636, std values: 0.7795670070825316, min values: -2.078275132568711, max values: 6.0, median values: -0.0873002291322727, and quantile values: 0.25 -0.519644\n0.50 -0.087300\n0.75 0.468584\nName: 3546, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11058165677734123, std values: 0.8176262966529921, min values: -2.476285024008804, max values: 3.0533207538164056, median values: 0.0097612053519283, and quantile values: 0.25 -0.463077\n0.50 0.009761\n0.75 0.646549\nName: 3547, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3315335039490432, std values: 1.1465979951219167, min values: -2.6320986139293034, max values: 3.260388056018088, median values: 0.4702198311802822, and quantile values: 0.25 -0.464242\n0.50 0.470220\n0.75 1.217186\nName: 3548, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.010449768752542572, std values: 0.7913698959682719, min values: -2.1154918763173005, max values: 3.405671179043623, median values: -0.0752286214657084, and quantile values: 0.25 -0.560614\n0.50 -0.075229\n0.75 0.553187\nName: 3549, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1637063741641026, std values: 0.8432240187679535, min values: -2.0864604194430334, max values: 5.0, median values: 0.203366470693517, and quantile values: 0.25 -0.433080\n0.50 0.203366\n0.75 0.726586\nName: 3550, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12419898743105798, std values: 0.8232168980837912, min values: -2.033611600779362, max values: 5.0, median values: -0.1525515658489161, and quantile values: 0.25 -0.729745\n0.50 -0.152552\n0.75 0.453320\nName: 3551, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21171641792900894, std values: 0.7652467667679886, min values: -1.909253481277228, max values: 6.0, median values: 0.1407817107025804, and quantile values: 0.25 -0.276937\n0.50 0.140782\n0.75 0.704777\nName: 3552, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19864431177303093, std values: 0.8365656574995324, min values: -2.070226764228553, max values: 5.0, median values: 0.2633129455552578, and quantile values: 0.25 -0.372538\n0.50 0.263313\n0.75 0.778282\nName: 3553, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12537969315263858, std values: 0.98528948260555, min values: -2.8350118695332047, max values: 5.0, median values: -0.0183972988642178, and quantile values: 0.25 -0.566424\n0.50 -0.018397\n0.75 0.488117\nName: 3554, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05714731752944035, std values: 0.8356155859817191, min values: -1.9942775479092616, max values: 3.3483277116524426, median values: 0.0884890027192257, and quantile values: 0.25 -0.566706\n0.50 0.088489\n0.75 0.650447\nName: 3555, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19752161538591204, std values: 1.0985019979247779, min values: -2.634919142586459, max values: 6.0, median values: 0.224096868940174, and quantile values: 0.25 -0.534826\n0.50 0.224097\n0.75 0.910544\nName: 3556, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3212737683568045, std values: 1.0695351729645164, min values: -2.739804196611005, max values: 6.0, median values: 0.3987626273872164, and quantile values: 0.25 -0.473834\n0.50 0.398763\n0.75 1.169152\nName: 3557, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10409788636178918, std values: 0.8783623269568053, min values: -2.647506892572871, max values: 3.1801075704642923, median values: 0.1736224821588644, and quantile values: 0.25 -0.422022\n0.50 0.173622\n0.75 0.694159\nName: 3558, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11259923636770253, std values: 0.83824812910794, min values: -2.1232100101643527, max values: 6.0, median values: -0.1754400100058405, and quantile values: 0.25 -0.764919\n0.50 -0.175440\n0.75 0.465842\nName: 3559, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5285847671759261, std values: 0.8613417038782947, min values: -1.842397440212499, max values: 6.0, median values: 0.5373366496287235, and quantile values: 0.25 -0.063217\n0.50 0.537337\n0.75 1.123053\nName: 3560, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34908786823794896, std values: 0.8094547456477784, min values: -2.5879430435308, max values: 3.2936960268109283, median values: 0.335913106406788, and quantile values: 0.25 -0.181488\n0.50 0.335913\n0.75 0.836648\nName: 3561, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11236308665408114, std values: 1.0050043197259029, min values: -2.1144606839090367, max values: 6.0, median values: 0.0277977567954285, and quantile values: 0.25 -0.654931\n0.50 0.027798\n0.75 0.925018\nName: 3562, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3289658816425917, std values: 0.7116850556906492, min values: -2.196708653609315, max values: 6.0, median values: -0.4206787179305436, and quantile values: 0.25 -0.816974\n0.50 -0.420679\n0.75 0.093052\nName: 3563, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3396483516590547, std values: 1.225831910731172, min values: -2.5743883495350026, max values: 5.0, median values: 0.4469502118519127, and quantile values: 0.25 -0.451506\n0.50 0.446950\n0.75 1.350116\nName: 3564, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27021643619461744, std values: 0.9200917749684284, min values: -2.580492024304656, max values: 3.598076523509904, median values: -0.4035429167836361, and quantile values: 0.25 -0.994648\n0.50 -0.403543\n0.75 0.368615\nName: 3565, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5450414423861513, std values: 0.8523113891374087, min values: -2.5689076212724418, max values: 5.0, median values: 0.6564821436360564, and quantile values: 0.25 -0.031235\n0.50 0.656482\n0.75 1.175228\nName: 3566, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32003551445160255, std values: 1.0867064524599717, min values: -3.0960472541202715, max values: 6.0, median values: -0.2921938270304925, and quantile values: 0.25 -0.890591\n0.50 -0.292194\n0.75 0.399930\nName: 3567, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05941427482076582, std values: 0.8340986070648259, min values: -1.987483703767688, max values: 4.278004674434932, median values: -0.1219981777489029, and quantile values: 0.25 -0.629795\n0.50 -0.121998\n0.75 0.460212\nName: 3568, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06774063820813665, std values: 0.8529772395587022, min values: -2.087432639025188, max values: 5.0, median values: 0.0160957925158487, and quantile values: 0.25 -0.526935\n0.50 0.016096\n0.75 0.617152\nName: 3569, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22312991428377774, std values: 0.9967951713350204, min values: -2.102258330765142, max values: 6.0, median values: -0.2318767968024548, and quantile values: 0.25 -1.076467\n0.50 -0.231877\n0.75 0.530953\nName: 3570, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7637376328984388, std values: 1.2404951179673844, min values: -2.607565022042742, max values: 4.0, median values: 1.0026278968260902, and quantile values: 0.25 -0.030298\n0.50 1.002628\n0.75 1.668755\nName: 3571, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40416203898031733, std values: 1.0394426797662029, min values: -2.6466193392086392, max values: 4.0, median values: 0.4551209971603175, and quantile values: 0.25 -0.291544\n0.50 0.455121\n0.75 1.194903\nName: 3572, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23701457455737265, std values: 0.7492457512913105, min values: -1.941031746365332, max values: 3.0, median values: 0.2965048590251862, and quantile values: 0.25 -0.262030\n0.50 0.296505\n0.75 0.773237\nName: 3573, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1619138113024244, std values: 0.8148288489011491, min values: -2.4536054974529624, max values: 6.0, median values: -0.2613747076516204, and quantile values: 0.25 -0.732767\n0.50 -0.261375\n0.75 0.340899\nName: 3574, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4636753786794698, std values: 1.0577627717395695, min values: -2.825926939679757, max values: 3.1995118554872866, median values: -0.3454558409752954, and quantile values: 0.25 -1.124990\n0.50 -0.345456\n0.75 0.174885\nName: 3575, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14303792657934908, std values: 0.8589380888148257, min values: -2.841647375415054, max values: 5.0, median values: 0.1914444316199236, and quantile values: 0.25 -0.479956\n0.50 0.191444\n0.75 0.740679\nName: 3576, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3962875978761728, std values: 0.7932956748702689, min values: -2.6635706018350787, max values: 3.5021977227593246, median values: -0.4302136810255159, and quantile values: 0.25 -0.972093\n0.50 -0.430214\n0.75 0.100605\nName: 3577, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4306348858013433, std values: 1.0279010255992838, min values: -2.6270253558526173, max values: 4.243835016543704, median values: -0.457323982656021, and quantile values: 0.25 -1.228119\n0.50 -0.457324\n0.75 0.319852\nName: 3578, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09665390900104856, std values: 0.8274292343407527, min values: -2.641174291463747, max values: 6.0, median values: 0.1789928585864518, and quantile values: 0.25 -0.345456\n0.50 0.178993\n0.75 0.587167\nName: 3579, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2660460419507436, std values: 1.1695027503987487, min values: -2.825926939679757, max values: 4.278004674434932, median values: -0.2271758409018926, and quantile values: 0.25 -0.929763\n0.50 -0.227176\n0.75 0.436991\nName: 3580, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5318658214304943, std values: 1.1261799214775465, min values: -2.105100264521188, max values: 5.0, median values: 0.4422612400579216, and quantile values: 0.25 -0.324731\n0.50 0.442261\n0.75 1.465273\nName: 3581, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08626321848542831, std values: 0.7907993284462361, min values: -2.693453432157769, max values: 3.191712471143802, median values: 0.067633000289247, and quantile values: 0.25 -0.449231\n0.50 0.067633\n0.75 0.564820\nName: 3582, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3364878122419647, std values: 0.8699806925383392, min values: -2.271143658239337, max values: 6.0, median values: 0.3151787728201125, and quantile values: 0.25 -0.233195\n0.50 0.315179\n0.75 0.864426\nName: 3583, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37622883806743657, std values: 1.3146135447454426, min values: -2.8834699678265463, max values: 5.0, median values: -0.3965272539304638, and quantile values: 0.25 -1.519697\n0.50 -0.396527\n0.75 0.588615\nName: 3584, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2253395343682823, std values: 0.8802565471479783, min values: -2.5624611946462936, max values: 5.0, median values: -0.1882914222042576, and quantile values: 0.25 -0.813042\n0.50 -0.188291\n0.75 0.299173\nName: 3585, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2108984856276451, std values: 1.0963379262609665, min values: -2.558791007225312, max values: 3.3636961113187773, median values: -0.3304395029784495, and quantile values: 0.25 -1.015143\n0.50 -0.330440\n0.75 0.514620\nName: 3586, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2847296725543126, std values: 0.9163759158084863, min values: -2.4823451998031074, max values: 3.258347009006034, median values: 0.378803076811085, and quantile values: 0.25 -0.251215\n0.50 0.378803\n0.75 0.913550\nName: 3587, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2718921309835346, std values: 1.05993123674295, min values: -2.982771139679002, max values: 4.0, median values: -0.2312521281244104, and quantile values: 0.25 -0.946032\n0.50 -0.231252\n0.75 0.489979\nName: 3588, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.039911060502164364, std values: 0.9361741160902316, min values: -2.6023368942328267, max values: 3.528773265847577, median values: -0.0051774139856288, and quantile values: 0.25 -0.724248\n0.50 -0.005177\n0.75 0.628620\nName: 3589, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14835974033072852, std values: 0.8711119322625631, min values: -2.117042895443173, max values: 5.0, median values: 0.051162816508685, and quantile values: 0.25 -0.438809\n0.50 0.051163\n0.75 0.721575\nName: 3590, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.48505414272974273, std values: 0.8639465274237725, min values: -2.226424194672579, max values: 4.0, median values: 0.6084176881901836, and quantile values: 0.25 -0.106309\n0.50 0.608418\n0.75 1.142830\nName: 3591, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.9367521237986655, std values: 1.0639244304942137, min values: -2.12073996675014, max values: 3.3337116327022187, median values: 0.9572262166485586, and quantile values: 0.25 0.129437\n0.50 0.957226\n0.75 1.819167\nName: 3592, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5587090323473887, std values: 0.8799476185248919, min values: -2.688157591415518, max values: 5.0, median values: -0.6887334994255271, and quantile values: 0.25 -1.173196\n0.50 -0.688733\n0.75 -0.030044\nName: 3593, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17890020477990556, std values: 0.762460996716371, min values: -2.9898739724800576, max values: 2.4135323449237585, median values: -0.1566485172092517, and quantile values: 0.25 -0.699808\n0.50 -0.156649\n0.75 0.298629\nName: 3594, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3289489558098208, std values: 0.7956025465462415, min values: -2.461308921153724, max values: 3.3483277116524426, median values: 0.3888179105031959, and quantile values: 0.25 -0.208458\n0.50 0.388818\n0.75 0.861248\nName: 3595, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5190386358065544, std values: 0.863224633434023, min values: -1.878473536447133, max values: 4.0, median values: 0.6040774762192815, and quantile values: 0.25 -0.108149\n0.50 0.604077\n0.75 1.162956\nName: 3596, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.052363038899363876, std values: 0.840274083017514, min values: -2.605098146828148, max values: 6.0, median values: -0.0909222334149511, and quantile values: 0.25 -0.559712\n0.50 -0.090922\n0.75 0.473402\nName: 3597, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1920843248659016, std values: 0.8989036966113253, min values: -2.419659473655063, max values: 4.0, median values: -0.2907283808256621, and quantile values: 0.25 -0.881063\n0.50 -0.290728\n0.75 0.430274\nName: 3598, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06926047075194137, std values: 0.8116650762519598, min values: -2.5820330744015787, max values: 4.0, median values: -0.137464565860969, and quantile values: 0.25 -0.648297\n0.50 -0.137465\n0.75 0.483646\nName: 3599, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3382941493491821, std values: 1.8497446440123606, min values: -3.0363117572416627, max values: 5.0, median values: -0.4768244331195163, and quantile values: 0.25 -2.037328\n0.50 -0.476824\n0.75 1.192377\nName: 3600, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6920434469372281, std values: 1.1464041539148213, min values: -2.825926939679757, max values: 3.0, median values: -0.5209909083766917, and quantile values: 0.25 -1.746089\n0.50 -0.520991\n0.75 0.152412\nName: 3601, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2345776748332746, std values: 0.8995909526839885, min values: -2.3051489257282016, max values: 5.0, median values: -0.3075185673211654, and quantile values: 0.25 -0.873874\n0.50 -0.307519\n0.75 0.307117\nName: 3602, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41196442463546673, std values: 0.8859015768917563, min values: -2.730840794324401, max values: 3.306454397423372, median values: 0.4208373254173321, and quantile values: 0.25 -0.100329\n0.50 0.420837\n0.75 1.001945\nName: 3603, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18769924009015623, std values: 0.7920699073160149, min values: -2.5689076212724418, max values: 5.0, median values: -0.2416301768728933, and quantile values: 0.25 -0.748299\n0.50 -0.241630\n0.75 0.330991\nName: 3604, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2019960257187657, std values: 0.8015896385085802, min values: -1.989871054037948, max values: 5.0, median values: 0.1401923447035331, and quantile values: 0.25 -0.324077\n0.50 0.140192\n0.75 0.739230\nName: 3605, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35764558700730376, std values: 0.8299206410213791, min values: -2.5953860446419177, max values: 3.281452258958016, median values: -0.4030601477062382, and quantile values: 0.25 -0.890756\n0.50 -0.403060\n0.75 0.135914\nName: 3606, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05977920753835759, std values: 0.8058304847472607, min values: -2.021990593288096, max values: 3.455472209455805, median values: -0.0247052767310136, and quantile values: 0.25 -0.456954\n0.50 -0.024705\n0.75 0.530509\nName: 3607, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08980946218100537, std values: 0.7870678355682281, min values: -2.300042081328127, max values: 4.0, median values: 0.0909763768947696, and quantile values: 0.25 -0.418150\n0.50 0.090976\n0.75 0.557295\nName: 3608, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22913447442889734, std values: 1.1286948376404717, min values: -2.876502173242568, max values: 3.336438412828754, median values: 0.1864158649493807, and quantile values: 0.25 -0.450056\n0.50 0.186416\n0.75 1.054134\nName: 3609, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28217710774598354, std values: 0.7867690280204036, min values: -2.349293916724472, max values: 4.243835016543704, median values: 0.3246314372477216, and quantile values: 0.25 -0.215950\n0.50 0.324631\n0.75 0.778755\nName: 3610, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.023695009977146353, std values: 0.8055861026280065, min values: -2.3808324358856225, max values: 4.026668017837955, median values: -0.0206816656789031, and quantile values: 0.25 -0.533682\n0.50 -0.020682\n0.75 0.553049\nName: 3611, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14769708635459003, std values: 0.9644455139366204, min values: -2.497627580948261, max values: 3.0, median values: -0.1846125106683165, and quantile values: 0.25 -0.805119\n0.50 -0.184613\n0.75 0.507444\nName: 3612, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09471589171427552, std values: 0.7897133550881384, min values: -1.9258750809018688, max values: 4.0, median values: -0.1560352023707842, and quantile values: 0.25 -0.613557\n0.50 -0.156035\n0.75 0.355676\nName: 3613, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.009271891472148311, std values: 0.7948439954166672, min values: -2.6899145007874274, max values: 3.3337116327022187, median values: -0.0111536530443813, and quantile values: 0.25 -0.498096\n0.50 -0.011154\n0.75 0.504064\nName: 3614, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8140262247824569, std values: 0.9576621546487466, min values: -2.64479559868397, max values: 6.0, median values: -0.9940812848279716, and quantile values: 0.25 -1.555530\n0.50 -0.994081\n0.75 -0.175328\nName: 3615, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04903185322227772, std values: 0.8278672472662199, min values: -2.27710446206836, max values: 4.278004674434932, median values: -0.0280341939506261, and quantile values: 0.25 -0.549060\n0.50 -0.028034\n0.75 0.604077\nName: 3616, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13097188791863648, std values: 0.8818412392124441, min values: -2.5879430435308, max values: 3.5427287984042666, median values: -0.2029877346445866, and quantile values: 0.25 -0.725511\n0.50 -0.202988\n0.75 0.379395\nName: 3617, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44272833846856896, std values: 1.0443055103034395, min values: -3.5073564001364024, max values: 2.8499459910874414, median values: -0.5232317228698528, and quantile values: 0.25 -1.225897\n0.50 -0.523232\n0.75 0.253547\nName: 3618, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24556107779609218, std values: 1.100030781829567, min values: -2.960014365184806, max values: 6.0, median values: -0.0215090574388836, and quantile values: 0.25 -0.805871\n0.50 -0.021509\n0.75 0.515645\nName: 3619, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42815478432758086, std values: 0.8687349257909527, min values: -2.15085577507779, max values: 3.9905524164385566, median values: -0.4733898717827475, and quantile values: 0.25 -1.073376\n0.50 -0.473390\n0.75 0.084398\nName: 3620, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2007519108105053, std values: 0.8024747591663005, min values: -2.1232100101643527, max values: 6.0, median values: -0.2705330883124347, and quantile values: 0.25 -0.799927\n0.50 -0.270533\n0.75 0.314781\nName: 3621, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4510925487184758, std values: 0.8579810435514234, min values: -1.993875354875403, max values: 5.0, median values: 0.4707478423830484, and quantile values: 0.25 -0.117200\n0.50 0.470748\n0.75 1.031983\nName: 3622, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.47535586597718354, std values: 1.3853917725223273, min values: -3.00972886875607, max values: 3.124705982383484, median values: -0.3357130629843861, and quantile values: 0.25 -1.852555\n0.50 -0.335713\n0.75 0.555048\nName: 3623, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4446707839185412, std values: 0.8452393312886953, min values: -2.8451834694312192, max values: 3.0, median values: -0.5251906412093453, and quantile values: 0.25 -1.029651\n0.50 -0.525191\n0.75 0.087180\nName: 3624, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38054451727663363, std values: 0.8230000095750167, min values: -2.944950884974346, max values: 3.709787027503053, median values: -0.3892257874082204, and quantile values: 0.25 -0.973110\n0.50 -0.389226\n0.75 0.123330\nName: 3625, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4055027893273046, std values: 1.1752838914650447, min values: -2.955641696055872, max values: 3.496479817235339, median values: -0.2869383502053378, and quantile values: 0.25 -1.437892\n0.50 -0.286938\n0.75 0.552223\nName: 3626, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.558741327018741, std values: 1.0026254681515019, min values: -2.891990595045606, max values: 6.0, median values: 0.5413500700659643, and quantile values: 0.25 -0.096341\n0.50 0.541350\n0.75 1.129630\nName: 3627, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07379686824058022, std values: 0.7745392719320167, min values: -2.0437322601529133, max values: 4.0, median values: -0.0801594630866052, and quantile values: 0.25 -0.608148\n0.50 -0.080159\n0.75 0.425823\nName: 3628, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03216169897391996, std values: 0.8531411439607824, min values: -1.9665318251231108, max values: 3.496479817235339, median values: -0.1267596099868636, and quantile values: 0.25 -0.671519\n0.50 -0.126760\n0.75 0.545875\nName: 3629, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7291721522303894, std values: 0.9958671891209562, min values: -2.955641696055872, max values: 2.51028771882806, median values: -0.7260314430734623, and quantile values: 0.25 -1.483351\n0.50 -0.726031\n0.75 -0.048233\nName: 3630, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5679118768693432, std values: 0.9595374274659484, min values: -2.068409635448683, max values: 3.528773265847577, median values: 0.6466751142617149, and quantile values: 0.25 -0.122109\n0.50 0.646675\n0.75 1.295472\nName: 3631, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.317745441255899, std values: 0.8177187003272195, min values: -2.27710446206836, max values: 3.0, median values: -0.3413193926034669, and quantile values: 0.25 -0.983944\n0.50 -0.341319\n0.75 0.246963\nName: 3632, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5133603709691474, std values: 0.8629101909129901, min values: -2.169311742921253, max values: 6.0, median values: 0.5422111734387107, and quantile values: 0.25 -0.087583\n0.50 0.542211\n0.75 1.146203\nName: 3633, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27562126163298073, std values: 0.9776205360008688, min values: -2.4705236352348297, max values: 3.1485882570365185, median values: 0.3621673414265328, and quantile values: 0.25 -0.454846\n0.50 0.362167\n0.75 0.997418\nName: 3634, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3218567193718553, std values: 0.8138584538984279, min values: -2.605844844843939, max values: 4.0, median values: 0.3769918823587813, and quantile values: 0.25 -0.226642\n0.50 0.376992\n0.75 0.930506\nName: 3635, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3454711341027395, std values: 0.8968568182999546, min values: -2.105100264521188, max values: 5.0, median values: -0.5276896068768722, and quantile values: 0.25 -1.019187\n0.50 -0.527690\n0.75 0.199322\nName: 3636, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.030804290680609397, std values: 0.8727783436744702, min values: -2.4902145713898545, max values: 3.0, median values: -0.0233279137972561, and quantile values: 0.25 -0.589499\n0.50 -0.023328\n0.75 0.512525\nName: 3637, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24900387655853257, std values: 0.9356926377144034, min values: -2.264034258932616, max values: 3.0097288687560817, median values: 0.3270988411353773, and quantile values: 0.25 -0.457382\n0.50 0.327099\n0.75 0.970107\nName: 3638, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4514887262752845, std values: 0.9643338925368693, min values: -2.029096409110464, max values: 3.0, median values: 0.5304411979616497, and quantile values: 0.25 -0.232053\n0.50 0.530441\n0.75 1.231123\nName: 3639, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7059162648126309, std values: 1.0820801963127091, min values: -2.947062251106049, max values: 4.243835016543704, median values: 0.753456626579494, and quantile values: 0.25 -0.028814\n0.50 0.753457\n0.75 1.600587\nName: 3640, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3736061737899889, std values: 0.9697113061737583, min values: -2.710223074556336, max values: 4.0, median values: -0.3280713949243832, and quantile values: 0.25 -0.914051\n0.50 -0.328071\n0.75 0.204146\nName: 3641, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.006219289146910074, std values: 1.0695292131857748, min values: -2.673124659932621, max values: 6.0, median values: 0.0529277214625312, and quantile values: 0.25 -0.710583\n0.50 0.052928\n0.75 0.845316\nName: 3642, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.004280217833573054, std values: 0.9581406721169244, min values: -2.5743883495350026, max values: 5.0, median values: -0.0710104153836668, and quantile values: 0.25 -0.640442\n0.50 -0.071010\n0.75 0.615486\nName: 3643, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3940833613412511, std values: 0.894712517209097, min values: -2.6320986139293034, max values: 3.8226908388056136, median values: -0.4241154175327193, and quantile values: 0.25 -0.900498\n0.50 -0.424115\n0.75 0.156649\nName: 3644, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27653324591282274, std values: 1.1124296603997013, min values: -2.6635706018350787, max values: 3.3014869995452325, median values: -0.4639968994477708, and quantile values: 0.25 -1.170050\n0.50 -0.463997\n0.75 0.487621\nName: 3645, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4166007678779097, std values: 0.9473146192392712, min values: -2.928515832252388, max values: 5.0, median values: -0.3860664286245125, and quantile values: 0.25 -0.965489\n0.50 -0.386066\n0.75 0.149476\nName: 3646, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0019066458844985415, std values: 0.8106565628103147, min values: -2.8121055320525654, max values: 5.0, median values: -0.036618029169329, and quantile values: 0.25 -0.516401\n0.50 -0.036618\n0.75 0.504345\nName: 3647, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6614617640154857, std values: 1.2287344092443746, min values: -3.00972886875607, max values: 4.278004674434932, median values: -0.6548433847030168, and quantile values: 0.25 -1.640184\n0.50 -0.654843\n0.75 0.233146\nName: 3648, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6141393419706731, std values: 0.8708309918044856, min values: -2.1047747435038886, max values: 3.5021977227593246, median values: 0.6947856720751612, and quantile values: 0.25 0.022195\n0.50 0.694786\n0.75 1.228236\nName: 3649, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2191473266528732, std values: 0.8666169800124363, min values: -2.241657446619009, max values: 6.0, median values: 0.2850894292075144, and quantile values: 0.25 -0.401903\n0.50 0.285089\n0.75 0.797919\nName: 3650, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.547141110236498, std values: 0.8553391623821867, min values: -2.12073996675014, max values: 3.5581019918925243, median values: 0.5972827621185708, and quantile values: 0.25 -0.052790\n0.50 0.597283\n0.75 1.198887\nName: 3651, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5353464930468654, std values: 0.904943154545724, min values: -2.4657737907743, max values: 3.110498035652072, median values: 0.6172293146489449, and quantile values: 0.25 -0.056351\n0.50 0.617229\n0.75 1.133252\nName: 3652, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2064547628718088, std values: 0.8279030042477974, min values: -2.6404955031131814, max values: 6.0, median values: -0.2951553716937912, and quantile values: 0.25 -0.756020\n0.50 -0.295155\n0.75 0.255566\nName: 3653, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05576227939300665, std values: 0.8507848354767541, min values: -2.622709665346679, max values: 3.047545592545638, median values: 0.0231075399026536, and quantile values: 0.25 -0.603549\n0.50 0.023108\n0.75 0.531365\nName: 3654, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5035729759032853, std values: 0.8952292773435151, min values: -2.4540853055744134, max values: 3.082096909284949, median values: 0.6366263294893706, and quantile values: 0.25 -0.091546\n0.50 0.636626\n0.75 1.159941\nName: 3655, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3608350703240961, std values: 0.9302200492803834, min values: -1.957432520970798, max values: 3.784832159836258, median values: 0.242243464012228, and quantile values: 0.25 -0.240584\n0.50 0.242243\n0.75 0.934924\nName: 3656, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10594187962609714, std values: 1.0328744578715867, min values: -3.2266531185902174, max values: 3.2936960268109283, median values: -0.0814963313124367, and quantile values: 0.25 -0.911295\n0.50 -0.081496\n0.75 0.700881\nName: 3657, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.019020920745551232, std values: 0.8635669255373472, min values: -2.642042398333877, max values: 3.0, median values: 0.0765559708412639, and quantile values: 0.25 -0.463762\n0.50 0.076556\n0.75 0.580969\nName: 3658, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.060907779706559355, std values: 0.988795341934184, min values: -3.307038206418975, max values: 3.3337116327022187, median values: -0.0291407169835514, and quantile values: 0.25 -0.733632\n0.50 -0.029141\n0.75 0.604867\nName: 3659, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03072471166324166, std values: 0.8713914158993883, min values: -2.623568901859613, max values: 4.0, median values: 0.0728507925635516, and quantile values: 0.25 -0.480116\n0.50 0.072851\n0.75 0.573490\nName: 3660, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24174191606931836, std values: 0.9896666183604905, min values: -2.662750916816848, max values: 5.0, median values: -0.2372552191532203, and quantile values: 0.25 -0.813481\n0.50 -0.237255\n0.75 0.372960\nName: 3661, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3326697053758135, std values: 0.9942184938989739, min values: -2.094787931821739, max values: 3.5581019918925243, median values: 0.2861480232004406, and quantile values: 0.25 -0.435537\n0.50 0.286148\n0.75 1.029157\nName: 3662, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20592999235270013, std values: 0.9237160995188252, min values: -2.56026492390943, max values: 4.0, median values: -0.2127377357661276, and quantile values: 0.25 -0.836902\n0.50 -0.212738\n0.75 0.386923\nName: 3663, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19040038920967098, std values: 0.7204274357557153, min values: -2.101645934107982, max values: 3.438667023696733, median values: -0.267278020114757, and quantile values: 0.25 -0.657951\n0.50 -0.267278\n0.75 0.228483\nName: 3664, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4689876939730012, std values: 1.0529725624946966, min values: -2.167861924624162, max values: 4.278004674434932, median values: 0.4920849379019322, and quantile values: 0.25 -0.349668\n0.50 0.492085\n0.75 1.331306\nName: 3665, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20557578773764393, std values: 1.039326513764444, min values: -3.066111439712689, max values: 3.8226908388056136, median values: 0.0878915779576908, and quantile values: 0.25 -0.635230\n0.50 0.087892\n0.75 0.972579\nName: 3666, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.014740107915744555, std values: 0.9925326456063827, min values: -2.891990595045606, max values: 6.0, median values: 0.0228801964761899, and quantile values: 0.25 -0.543328\n0.50 0.022880\n0.75 0.590909\nName: 3667, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1973918704028941, std values: 0.8926985029452293, min values: -2.1154918763173005, max values: 4.0, median values: 0.1836961711346756, and quantile values: 0.25 -0.420859\n0.50 0.183696\n0.75 0.746955\nName: 3668, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20424461132517704, std values: 0.8253509817863263, min values: -1.994759357949121, max values: 3.867701659180865, median values: 0.2368876254209462, and quantile values: 0.25 -0.362087\n0.50 0.236888\n0.75 0.728002\nName: 3669, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17147184632304252, std values: 0.9248799841329446, min values: -2.6466193392086392, max values: 4.0, median values: -0.2123336751513967, and quantile values: 0.25 -0.762920\n0.50 -0.212334\n0.75 0.429759\nName: 3670, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44455975374981277, std values: 0.778110136381371, min values: -2.564449278715455, max values: 3.2936960268109283, median values: -0.5608722323089128, and quantile values: 0.25 -1.016472\n0.50 -0.560872\n0.75 0.016545\nName: 3671, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12674027858351644, std values: 0.83012158823441, min values: -3.0223671288921072, max values: 3.5021977227593246, median values: -0.2157433570930939, and quantile values: 0.25 -0.714147\n0.50 -0.215743\n0.75 0.404375\nName: 3672, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2954474379943095, std values: 1.351099137274159, min values: -2.8282523283494294, max values: 3.518664430018096, median values: 0.3759346200621228, and quantile values: 0.25 -0.404883\n0.50 0.375935\n0.75 1.259451\nName: 3673, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4118910251405726, std values: 1.634092841895498, min values: -2.5859127503381347, max values: 4.278004674434932, median values: 0.8054133483782616, and quantile values: 0.25 -0.865731\n0.50 0.805413\n0.75 1.674546\nName: 3674, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.264307386993714, std values: 0.9665251384513516, min values: -2.879968592907284, max values: 4.0, median values: -0.3096694850130506, and quantile values: 0.25 -0.873161\n0.50 -0.309669\n0.75 0.369027\nName: 3675, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2566000061194965, std values: 0.772437668829935, min values: -2.008976164219656, max values: 4.0, median values: 0.2754496863145431, and quantile values: 0.25 -0.230014\n0.50 0.275450\n0.75 0.717650\nName: 3676, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15638791528638848, std values: 0.9323072119129328, min values: -2.8282523283494294, max values: 4.0, median values: 0.2592380831004794, and quantile values: 0.25 -0.405184\n0.50 0.259238\n0.75 0.826646\nName: 3677, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20584712629079352, std values: 0.8996349613043557, min values: -2.321103531050575, max values: 4.0, median values: -0.3149763522155859, and quantile values: 0.25 -0.855259\n0.50 -0.314976\n0.75 0.396630\nName: 3678, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1345076541157917, std values: 1.0719226654805976, min values: -2.815821936576896, max values: 4.026668017837955, median values: -0.1724483848844284, and quantile values: 0.25 -0.790181\n0.50 -0.172448\n0.75 0.593525\nName: 3679, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13632149203914865, std values: 0.9605143966870118, min values: -2.8246479422601736, max values: 6.0, median values: 0.1917685166526901, and quantile values: 0.25 -0.466448\n0.50 0.191769\n0.75 0.776036\nName: 3680, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08749141431645889, std values: 0.9313798403890649, min values: -2.5774281843044924, max values: 4.0, median values: -0.1425721783506899, and quantile values: 0.25 -0.690830\n0.50 -0.142572\n0.75 0.513687\nName: 3681, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07410467941627912, std values: 0.9036372150241763, min values: -2.024305098645945, max values: 6.0, median values: -0.0358612282141368, and quantile values: 0.25 -0.601237\n0.50 -0.035861\n0.75 0.685853\nName: 3682, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19479946830415176, std values: 0.7779536401387506, min values: -2.5774281843044924, max values: 6.0, median values: -0.2264483314714954, and quantile values: 0.25 -0.720659\n0.50 -0.226448\n0.75 0.284253\nName: 3683, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09898322545134168, std values: 0.7576281371675313, min values: -1.975713706915316, max values: 3.2696814875916886, median values: 0.1566485172092517, and quantile values: 0.25 -0.397116\n0.50 0.156649\n0.75 0.608777\nName: 3684, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16539197627500396, std values: 0.8589945576670306, min values: -2.5624611946462936, max values: 5.0, median values: -0.2307453567746117, and quantile values: 0.25 -0.692266\n0.50 -0.230745\n0.75 0.359741\nName: 3685, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38451447179614523, std values: 0.8601791431048866, min values: -2.018810478364607, max values: 5.0, median values: 0.3518101167373584, and quantile values: 0.25 -0.134493\n0.50 0.351810\n0.75 0.917696\nName: 3686, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2254667600516987, std values: 1.0065856301874418, min values: -2.919359491767569, max values: 5.0, median values: -0.2338260454447924, and quantile values: 0.25 -0.886381\n0.50 -0.233826\n0.75 0.479263\nName: 3687, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19571957380324959, std values: 0.8629158946997814, min values: -2.161670149336292, max values: 4.0, median values: -0.3517770206540112, and quantile values: 0.25 -0.837707\n0.50 -0.351777\n0.75 0.367341\nName: 3688, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15083833775409436, std values: 0.7676523957885429, min values: -2.1500814177063754, max values: 4.0, median values: -0.1082200532116521, and quantile values: 0.25 -0.692446\n0.50 -0.108220\n0.75 0.375191\nName: 3689, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6047764413840713, std values: 0.8490906985056884, min values: -2.8084275661396814, max values: 6.0, median values: -0.7477989912222118, and quantile values: 0.25 -1.224794\n0.50 -0.747799\n0.75 -0.119557\nName: 3690, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2758543767307561, std values: 0.8908585760634319, min values: -2.576018450691392, max values: 4.0, median values: -0.3322893960171134, and quantile values: 0.25 -0.872194\n0.50 -0.332289\n0.75 0.324756\nName: 3691, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.167998778998594, std values: 1.041781649716928, min values: -2.657870006553045, max values: 3.0097288687560817, median values: 0.1411875102770965, and quantile values: 0.25 -0.586978\n0.50 0.141188\n0.75 0.958708\nName: 3692, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.046048942426406, std values: 0.8552437739496275, min values: -2.6820581866633817, max values: 3.438667023696733, median values: -0.1037335572988853, and quantile values: 0.25 -0.555916\n0.50 -0.103734\n0.75 0.482504\nName: 3693, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.48133833510399315, std values: 1.0971367751444343, min values: -3.0484008792629496, max values: 5.0, median values: -0.5721814109309235, and quantile values: 0.25 -1.206169\n0.50 -0.572181\n0.75 0.220294\nName: 3694, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8169417071922431, std values: 1.2684704477749627, min values: -2.5743883495350026, max values: 5.0, median values: 1.0760556799837704, and quantile values: 0.25 0.034324\n0.50 1.076056\n0.75 1.799357\nName: 3695, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07654710232194153, std values: 0.7971820667743951, min values: -2.021990593288096, max values: 6.0, median values: 0.0403009215676273, and quantile values: 0.25 -0.451642\n0.50 0.040301\n0.75 0.593370\nName: 3696, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1306001878881583, std values: 0.918112139868195, min values: -2.5682675825126706, max values: 5.0, median values: 0.1410204135227265, and quantile values: 0.25 -0.51292\n0.50 0.14102\n0.75 0.73104\nName: 3697, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.008966390322154348, std values: 0.8005358196615519, min values: -2.0549499710103847, max values: 3.4217036547572275, median values: -0.0933973623829987, and quantile values: 0.25 -0.581165\n0.50 -0.093397\n0.75 0.515051\nName: 3698, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2349775852685689, std values: 0.774817872609315, min values: -2.046407181704428, max values: 4.026668017837955, median values: -0.2915198127358859, and quantile values: 0.25 -0.766688\n0.50 -0.291520\n0.75 0.228195\nName: 3699, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42121317709028044, std values: 0.9689934317900749, min values: -2.7314147016889114, max values: 3.0, median values: -0.5214577420898461, and quantile values: 0.25 -1.113890\n0.50 -0.521458\n0.75 0.229275\nName: 3700, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0417952910683244, std values: 0.9409506351595971, min values: -2.825926939679757, max values: 3.0, median values: 0.0398110192159284, and quantile values: 0.25 -0.608247\n0.50 0.039811\n0.75 0.722406\nName: 3701, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09168753059475031, std values: 0.9102417402291584, min values: -2.419133598913117, max values: 3.8226908388056136, median values: -0.179157989934984, and quantile values: 0.25 -0.736407\n0.50 -0.179158\n0.75 0.461474\nName: 3702, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47147388905450016, std values: 0.9686847020178169, min values: -2.087432639025188, max values: 4.0, median values: 0.5150386124700507, and quantile values: 0.25 -0.267313\n0.50 0.515039\n0.75 1.277950\nName: 3703, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04862610687894005, std values: 0.8763129682973883, min values: -2.579952672199424, max values: 6.0, median values: -0.1481136124040456, and quantile values: 0.25 -0.732047\n0.50 -0.148114\n0.75 0.537036\nName: 3704, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25527654219998935, std values: 0.7998059022188952, min values: -2.56026492390943, max values: 4.0, median values: -0.2643009596182428, and quantile values: 0.25 -0.757682\n0.50 -0.264301\n0.75 0.213615\nName: 3705, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02915721579665004, std values: 1.5910941570379875, min values: -2.8563982925340614, max values: 5.0, median values: 0.2398541293971782, and quantile values: 0.25 -1.724250\n0.50 0.239854\n0.75 1.319465\nName: 3706, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12942205312332214, std values: 0.9685273177951794, min values: -2.226424194672579, max values: 4.0, median values: 0.0973950739396666, and quantile values: 0.25 -0.538546\n0.50 0.097395\n0.75 0.714376\nName: 3707, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04653338883325659, std values: 1.0114819376926, min values: -3.0223671288921072, max values: 3.415255285860171, median values: 0.1056771588391539, and quantile values: 0.25 -0.619833\n0.50 0.105677\n0.75 0.711313\nName: 3708, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14982621907293506, std values: 0.7657446606625804, min values: -2.9797100147087465, max values: 5.0, median values: 0.2123578485563317, and quantile values: 0.25 -0.309818\n0.50 0.212358\n0.75 0.652695\nName: 3709, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28387991020233994, std values: 1.336393777816974, min values: -3.28024538647024, max values: 2.985133931273498, median values: 0.5232317228698528, and quantile values: 0.25 -0.862161\n0.50 0.523232\n0.75 1.427863\nName: 3710, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2778243573306802, std values: 0.863340943561109, min values: -2.264034258932616, max values: 3.0, median values: 0.3279965720882752, and quantile values: 0.25 -0.337664\n0.50 0.327997\n0.75 0.941457\nName: 3711, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1563005841809084, std values: 0.7900620476016125, min values: -2.579723791499676, max values: 4.0, median values: 0.2330368309886291, and quantile values: 0.25 -0.400105\n0.50 0.233037\n0.75 0.696224\nName: 3712, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05550565176915368, std values: 0.8187396689089159, min values: -2.159847940654977, max values: 3.216771431244405, median values: 0.0709630271275924, and quantile values: 0.25 -0.538387\n0.50 0.070963\n0.75 0.675631\nName: 3713, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07090773862968532, std values: 0.8520460672123871, min values: -2.2593296435507084, max values: 3.496479817235339, median values: 0.0041584482570066, and quantile values: 0.25 -0.566151\n0.50 0.004158\n0.75 0.650778\nName: 3714, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4595298174846016, std values: 1.298692280358769, min values: -2.825926939679757, max values: 3.5908526919299577, median values: -0.2358391856656568, and quantile values: 0.25 -1.708943\n0.50 -0.235839\n0.75 0.582045\nName: 3715, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16090473096071348, std values: 0.7779225265089644, min values: -2.62876542141649, max values: 3.379902545505621, median values: -0.25013178978272, and quantile values: 0.25 -0.701497\n0.50 -0.250132\n0.75 0.276508\nName: 3716, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2540246203457372, std values: 1.0766399250904517, min values: -2.657750824678472, max values: 5.0, median values: -0.2746435412609205, and quantile values: 0.25 -1.047893\n0.50 -0.274644\n0.75 0.561710\nName: 3717, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32519468060076234, std values: 0.9571602528645594, min values: -2.169311742921253, max values: 6.0, median values: 0.4319377665907916, and quantile values: 0.25 -0.371475\n0.50 0.431938\n0.75 1.067033\nName: 3718, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.373128122662248, std values: 0.9077683139299388, min values: -2.475778245535816, max values: 3.598076523509904, median values: 0.339731883617115, and quantile values: 0.25 -0.237641\n0.50 0.339732\n0.75 1.010327\nName: 3719, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21149582883506426, std values: 0.8023703176132364, min values: -2.4502625580775623, max values: 5.0, median values: 0.2549386497987417, and quantile values: 0.25 -0.305358\n0.50 0.254939\n0.75 0.715657\nName: 3720, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1579572057258935, std values: 0.8614176567952506, min values: -2.730840794324401, max values: 4.243835016543704, median values: 0.1951046067536209, and quantile values: 0.25 -0.409241\n0.50 0.195105\n0.75 0.696236\nName: 3721, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21560053984129943, std values: 0.7828408428026083, min values: -2.452169452522145, max values: 3.5021977227593246, median values: 0.1705664603512642, and quantile values: 0.25 -0.293602\n0.50 0.170566\n0.75 0.721075\nName: 3722, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04617133782173513, std values: 0.762255395598834, min values: -2.475778245535816, max values: 3.32433157891547, median values: -0.0553271546035846, and quantile values: 0.25 -0.540171\n0.50 -0.055327\n0.75 0.402911\nName: 3723, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25311012201842165, std values: 0.9496055731658257, min values: -2.5624611946462936, max values: 5.0, median values: -0.2448923078378077, and quantile values: 0.25 -0.939609\n0.50 -0.244892\n0.75 0.417981\nName: 3724, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44816747099366006, std values: 0.936832533960185, min values: -2.510124273981921, max values: 3.477886732511886, median values: -0.5476045104690616, and quantile values: 0.25 -1.158923\n0.50 -0.547605\n0.75 0.145506\nName: 3725, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12031875194380867, std values: 0.8396696085570867, min values: -2.5046447434119337, max values: 4.0, median values: 0.0449443195991267, and quantile values: 0.25 -0.457849\n0.50 0.044944\n0.75 0.661169\nName: 3726, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4527427879220716, std values: 1.2256670749749163, min values: -2.724017888297919, max values: 3.627976272701048, median values: 0.4916581593623271, and quantile values: 0.25 -0.368100\n0.50 0.491658\n0.75 1.415014\nName: 3727, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15534258337426066, std values: 0.885780012662654, min values: -2.7688682710567485, max values: 3.0932086550988465, median values: -0.2158374180003991, and quantile values: 0.25 -0.699280\n0.50 -0.215837\n0.75 0.394056\nName: 3728, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.058242997706905775, std values: 0.7721577105289611, min values: -2.435922215845786, max values: 2.8297919131598865, median values: -0.1096883260654751, and quantile values: 0.25 -0.560969\n0.50 -0.109688\n0.75 0.390144\nName: 3729, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4055165499158147, std values: 1.0746017562582317, min values: -2.769191083399913, max values: 4.243835016543704, median values: -0.3186248772702268, and quantile values: 0.25 -1.033030\n0.50 -0.318625\n0.75 0.255915\nName: 3730, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1517301612865819, std values: 0.9645155677187889, min values: -2.4902145713898545, max values: 3.5021977227593246, median values: -0.151242199556922, and quantile values: 0.25 -0.822352\n0.50 -0.151242\n0.75 0.458606\nName: 3731, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2358407137519984, std values: 0.7382852217654047, min values: -2.0143923337849454, max values: 4.0, median values: 0.1856463599794353, and quantile values: 0.25 -0.287232\n0.50 0.185646\n0.75 0.713239\nName: 3732, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.050439442242762804, std values: 0.7729835627930671, min values: -1.997101971817732, max values: 4.0, median values: -0.0845941402419505, and quantile values: 0.25 -0.579127\n0.50 -0.084594\n0.75 0.424240\nName: 3733, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2998027913806113, std values: 0.8303912441703761, min values: -2.5156802245814003, max values: 4.0, median values: -0.2697382490983352, and quantile values: 0.25 -0.850049\n0.50 -0.269738\n0.75 0.219664\nName: 3734, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28971151854975896, std values: 0.797816216358394, min values: -2.1323052317104474, max values: 5.0, median values: -0.3194786801296797, and quantile values: 0.25 -0.869726\n0.50 -0.319479\n0.75 0.193003\nName: 3735, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1734438450961809, std values: 0.8964018071995505, min values: -2.687115288423959, max values: 5.0, median values: -0.2139773617242676, and quantile values: 0.25 -0.744125\n0.50 -0.213977\n0.75 0.401985\nName: 3736, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3080318740314045, std values: 0.7738862486517548, min values: -1.964969995437011, max values: 3.379902545505621, median values: 0.3681506010453672, and quantile values: 0.25 -0.162921\n0.50 0.368151\n0.75 0.802243\nName: 3737, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45288757914226335, std values: 0.9936437569173273, min values: -2.64479559868397, max values: 6.0, median values: -0.3232366096692195, and quantile values: 0.25 -1.066574\n0.50 -0.323237\n0.75 0.204339\nName: 3738, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.021218809994855634, std values: 1.0086166124787996, min values: -2.7510671817729784, max values: 6.0, median values: -0.06857151081301, and quantile values: 0.25 -0.660447\n0.50 -0.068572\n0.75 0.629191\nName: 3739, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4260218083131668, std values: 0.7862753113614128, min values: -2.3184884946917497, max values: 6.0, median values: 0.4890479718501533, and quantile values: 0.25 -0.093564\n0.50 0.489048\n0.75 0.965006\nName: 3740, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3502148246503026, std values: 0.9978750284509985, min values: -2.119639300682046, max values: 4.0, median values: -0.5251590297765164, and quantile values: 0.25 -1.117739\n0.50 -0.525159\n0.75 0.294436\nName: 3741, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.194756938902368, std values: 0.8399949490453543, min values: -2.1149759989911825, max values: 6.0, median values: 0.2144372272450065, and quantile values: 0.25 -0.345305\n0.50 0.214437\n0.75 0.673487\nName: 3742, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4365046527819294, std values: 0.9585879587345754, min values: -2.4540853055744134, max values: 3.0, median values: 0.4594504480077432, and quantile values: 0.25 -0.280717\n0.50 0.459450\n0.75 1.200440\nName: 3743, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0628606823824495, std values: 0.8993856519400147, min values: -2.933035609461076, max values: 5.0, median values: -0.0947667345986517, and quantile values: 0.25 -0.661204\n0.50 -0.094767\n0.75 0.539693\nName: 3744, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08061708426983712, std values: 0.9385380163214955, min values: -2.6117120822772133, max values: 5.0, median values: -0.0205182278257455, and quantile values: 0.25 -0.618285\n0.50 -0.020518\n0.75 0.703180\nName: 3745, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18161683343971313, std values: 0.7452085355396904, min values: -2.02241615711966, max values: 3.247416277295021, median values: -0.2069460763977021, and quantile values: 0.25 -0.689152\n0.50 -0.206946\n0.75 0.285828\nName: 3746, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7854503398530631, std values: 1.360762275947142, min values: -3.21990804472754, max values: 5.0, median values: -0.8149209566115534, and quantile values: 0.25 -2.023755\n0.50 -0.814921\n0.75 0.399806\nName: 3747, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06714581543590435, std values: 0.8019981588214037, min values: -2.560041333834972, max values: 3.4566816047670264, median values: 0.0089103260864651, and quantile values: 0.25 -0.458422\n0.50 0.008910\n0.75 0.567927\nName: 3748, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09506556413213783, std values: 1.1696214751736522, min values: -2.4657737907743, max values: 3.280245386470253, median values: 0.057175210333464, and quantile values: 0.25 -0.923786\n0.50 0.057175\n0.75 0.976209\nName: 3749, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13687210028856306, std values: 0.769521237573145, min values: -2.0360128381441656, max values: 5.0, median values: -0.2364987308595884, and quantile values: 0.25 -0.660007\n0.50 -0.236499\n0.75 0.332714\nName: 3750, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2635917045549274, std values: 0.7883265139156966, min values: -2.783691185534105, max values: 3.477886732511886, median values: -0.2522381981525686, and quantile values: 0.25 -0.806162\n0.50 -0.252238\n0.75 0.229359\nName: 3751, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20094397315225027, std values: 1.0041315194824756, min values: -2.558791007225312, max values: 3.434669824302974, median values: 0.3367134146271927, and quantile values: 0.25 -0.383304\n0.50 0.336713\n0.75 0.880680\nName: 3752, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3609271003222203, std values: 0.8893283071024956, min values: -2.1644103278868894, max values: 6.0, median values: 0.4359909011851818, and quantile values: 0.25 -0.280194\n0.50 0.435991\n0.75 1.035162\nName: 3753, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0791020615614794, std values: 0.8209088417353485, min values: -2.542889966859849, max values: 6.0, median values: -0.1302150200798575, and quantile values: 0.25 -0.623327\n0.50 -0.130215\n0.75 0.434923\nName: 3754, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12633562729781628, std values: 0.9200348786750577, min values: -2.673124659932621, max values: 6.0, median values: 0.1655565900576621, and quantile values: 0.25 -0.450303\n0.50 0.165557\n0.75 0.731920\nName: 3755, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1981551874681777, std values: 0.7647229153751479, min values: -2.732564679617164, max values: 3.2696814875916886, median values: 0.1259257737488356, and quantile values: 0.25 -0.315497\n0.50 0.125926\n0.75 0.698964\nName: 3756, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23016183153272485, std values: 0.7688753369790556, min values: -2.572123985342288, max values: 4.0, median values: 0.2455628439888684, and quantile values: 0.25 -0.263056\n0.50 0.245563\n0.75 0.701145\nName: 3757, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24343186576216536, std values: 0.84649607437777, min values: -1.9220188663019733, max values: 3.670892362631932, median values: 0.2843264549968261, and quantile values: 0.25 -0.327126\n0.50 0.284326\n0.75 0.793895\nName: 3758, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1021978214045028, std values: 0.7423600889845127, min values: -2.589966702820638, max values: 6.0, median values: -0.145103487035052, and quantile values: 0.25 -0.579144\n0.50 -0.145103\n0.75 0.308876\nName: 3759, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.670148427031498, std values: 0.9738453339991822, min values: -2.684072796644972, max values: 6.0, median values: -0.7544812225597425, and quantile values: 0.25 -1.329816\n0.50 -0.754481\n0.75 -0.105558\nName: 3760, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4337249363039185, std values: 0.865707734492825, min values: -2.446475285346346, max values: 2.659489945633004, median values: -0.4956385947810376, and quantile values: 0.25 -1.154227\n0.50 -0.495639\n0.75 0.169415\nName: 3761, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6996599188648087, std values: 1.0444521052939497, min values: -2.0066512073924776, max values: 4.0, median values: 0.6870238844574431, and quantile values: 0.25 -0.097077\n0.50 0.687024\n0.75 1.608058\nName: 3762, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32173130347563317, std values: 0.8758915034492134, min values: -2.196708653609315, max values: 6.0, median values: -0.4628011294985975, and quantile values: 0.25 -0.983956\n0.50 -0.462801\n0.75 0.236669\nName: 3763, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2457362816540593, std values: 1.1257034112169504, min values: -2.5825978442440407, max values: 6.0, median values: 0.2056906442761419, and quantile values: 0.25 -0.703906\n0.50 0.205691\n0.75 1.100319\nName: 3764, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14368922059245445, std values: 0.7438293045536734, min values: -2.085005777586541, max values: 3.0, median values: -0.1652691409009024, and quantile values: 0.25 -0.643014\n0.50 -0.165269\n0.75 0.287828\nName: 3765, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20811361936335798, std values: 0.9174280820723983, min values: -2.5879430435308, max values: 3.260388056018088, median values: 0.2755641046036457, and quantile values: 0.25 -0.450026\n0.50 0.275564\n0.75 0.909647\nName: 3766, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5122472886212821, std values: 0.7808774214649367, min values: -2.506827530467421, max values: 4.0, median values: 0.4725399693952217, and quantile values: 0.25 0.040301\n0.50 0.472540\n0.75 1.024405\nName: 3767, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6679654630561326, std values: 1.132659432680628, min values: -2.6800544037614658, max values: 4.0, median values: 0.8533183057309384, and quantile values: 0.25 0.001625\n0.50 0.853318\n0.75 1.451853\nName: 3768, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.018100556365938433, std values: 0.7178237612264367, min values: -2.5825978442440407, max values: 6.0, median values: 0.0029467107617411, and quantile values: 0.25 -0.423155\n0.50 0.002947\n0.75 0.425124\nName: 3769, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6852173380179815, std values: 1.009140330499324, min values: -2.769191083399913, max values: 3.0, median values: -0.6801706778323078, and quantile values: 0.25 -1.303500\n0.50 -0.680171\n0.75 -0.032338\nName: 3770, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39711369464273233, std values: 0.8195879485089524, min values: -2.1212040292999417, max values: 3.5908526919299577, median values: -0.4491423958249376, and quantile values: 0.25 -1.010052\n0.50 -0.449142\n0.75 0.072050\nName: 3771, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.004494147590068516, std values: 0.8933071633584759, min values: -2.1775880058603043, max values: 3.8226908388056136, median values: -0.086563000907187, and quantile values: 0.25 -0.677050\n0.50 -0.086563\n0.75 0.600281\nName: 3772, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06062017389310603, std values: 0.7400596160915301, min values: -2.2161166709808824, max values: 6.0, median values: 0.0294988819705303, and quantile values: 0.25 -0.417350\n0.50 0.029499\n0.75 0.501564\nName: 3773, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14229558732327996, std values: 0.9466147660752106, min values: -2.9666813816765707, max values: 4.278004674434932, median values: 0.1275458791613188, and quantile values: 0.25 -0.397576\n0.50 0.127546\n0.75 0.724095\nName: 3774, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.1884963286242176, std values: 1.6451228861117089, min values: -2.944950884974346, max values: 3.250922035035844, median values: -2.000553189003337, and quantile values: 0.25 -2.354713\n0.50 -2.000553\n0.75 -0.155478\nName: 3775, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16772089417616137, std values: 0.952773602707251, min values: -2.928515832252388, max values: 5.0, median values: -0.0123930081026784, and quantile values: 0.25 -0.666009\n0.50 -0.012393\n0.75 0.451825\nName: 3776, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23386225532941002, std values: 1.0949607164722353, min values: -2.769191083399913, max values: 3.0, median values: -0.0813029164071887, and quantile values: 0.25 -0.808097\n0.50 -0.081303\n0.75 0.504064\nName: 3777, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2796398611280408, std values: 0.9716255606801639, min values: -2.130927700612447, max values: 5.0, median values: -0.4696167257299221, and quantile values: 0.25 -0.978933\n0.50 -0.469617\n0.75 0.262392\nName: 3778, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6936549925860656, std values: 0.8317541124352201, min values: -2.5820330744015787, max values: 4.0, median values: -0.8344222783838621, and quantile values: 0.25 -1.307601\n0.50 -0.834422\n0.75 -0.198454\nName: 3779, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8880593878790146, std values: 1.0182981174090238, min values: -2.558791007225312, max values: 3.0, median values: -1.0245247036045624, and quantile values: 0.25 -1.706505\n0.50 -1.024525\n0.75 -0.226279\nName: 3780, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0437672596658302, std values: 0.8885645664061563, min values: -2.5859127503381347, max values: 4.026668017837955, median values: -0.0775733580125602, and quantile values: 0.25 -0.629226\n0.50 -0.077573\n0.75 0.534380\nName: 3781, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08519071954865047, std values: 0.8979460949861257, min values: -2.8563982925340614, max values: 5.0, median values: -0.0083667121941127, and quantile values: 0.25 -0.626520\n0.50 -0.008367\n0.75 0.475344\nName: 3782, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02502420191942212, std values: 0.8690417885617644, min values: -2.90140378513671, max values: 3.306454397423372, median values: -0.0801120420591287, and quantile values: 0.25 -0.605929\n0.50 -0.080112\n0.75 0.574753\nName: 3783, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03383868531578302, std values: 0.7398407564632282, min values: -2.1136270387555465, max values: 2.862971749830791, median values: -0.0013218874118069, and quantile values: 0.25 -0.451367\n0.50 -0.001322\n0.75 0.486040\nName: 3784, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.058394681237465176, std values: 0.9571201340008834, min values: -2.8467638118011016, max values: 5.0, median values: -0.0789976995414102, and quantile values: 0.25 -0.676012\n0.50 -0.078998\n0.75 0.565552\nName: 3785, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33131630742881735, std values: 0.9716770490952601, min values: -2.605844844843939, max values: 4.0, median values: -0.3576425187224848, and quantile values: 0.25 -0.977941\n0.50 -0.357643\n0.75 0.323336\nName: 3786, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2625169969813922, std values: 0.9163336057909294, min values: -1.8626343135195669, max values: 6.0, median values: 0.198364573394413, and quantile values: 0.25 -0.403799\n0.50 0.198365\n0.75 0.886022\nName: 3787, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40876298712958875, std values: 0.7872907189813447, min values: -2.7648443048846945, max values: 3.2701555622463814, median values: 0.3655215369697476, and quantile values: 0.25 -0.100046\n0.50 0.365522\n0.75 0.906078\nName: 3788, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12382899242293152, std values: 1.110324876662502, min values: -2.807209974165368, max values: 6.0, median values: 0.2894932936027141, and quantile values: 0.25 -0.571402\n0.50 0.289493\n0.75 0.896420\nName: 3789, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08228643006872602, std values: 0.790359523199353, min values: -2.0636163886830534, max values: 3.036311757241655, median values: 0.0323612841335468, and quantile values: 0.25 -0.452252\n0.50 0.032361\n0.75 0.594389\nName: 3790, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03084197516026422, std values: 0.8698258747938746, min values: -2.8998169811239416, max values: 4.278004674434932, median values: 0.0618100139449874, and quantile values: 0.25 -0.596629\n0.50 0.061810\n0.75 0.625971\nName: 3791, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4836356117492658, std values: 1.0677187110865163, min values: -1.9703134229980963, max values: 3.132053530264631, median values: 0.374014189187678, and quantile values: 0.25 -0.322739\n0.50 0.374014\n0.75 1.373313\nName: 3792, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09404183740114597, std values: 0.7790578659570749, min values: -2.62876542141649, max values: 3.0097288687560817, median values: 0.1442817854808899, and quantile values: 0.25 -0.453045\n0.50 0.144282\n0.75 0.631004\nName: 3793, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09987884160837478, std values: 0.8008166711931533, min values: -2.094787931821739, max values: 3.5581019918925243, median values: -0.1071508184849155, and quantile values: 0.25 -0.636966\n0.50 -0.107151\n0.75 0.357584\nName: 3794, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3096838146225374, std values: 0.8195929877425441, min values: -2.374446373878101, max values: 4.243835016543704, median values: -0.3975701809608519, and quantile values: 0.25 -0.884588\n0.50 -0.397570\n0.75 0.174070\nName: 3795, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.46222578703908496, std values: 0.9989714516551527, min values: -2.609385158408876, max values: 4.026668017837955, median values: 0.5428811985441501, and quantile values: 0.25 -0.092851\n0.50 0.542881\n0.75 1.147392\nName: 3796, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36632218493282304, std values: 0.9856794394691646, min values: -2.622709665346679, max values: 3.670892362631932, median values: -0.445338736968468, and quantile values: 0.25 -1.132781\n0.50 -0.445339\n0.75 0.325528\nName: 3797, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2688303403158993, std values: 0.951484926847661, min values: -2.349293916724472, max values: 3.4758930087721422, median values: -0.3018188355184407, and quantile values: 0.25 -1.051057\n0.50 -0.301819\n0.75 0.389251\nName: 3798, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19170936249346252, std values: 1.058189545514618, min values: -2.4988756988513408, max values: 3.0, median values: -0.1703523726431471, and quantile values: 0.25 -1.042873\n0.50 -0.170352\n0.75 0.613624\nName: 3799, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31843736266696643, std values: 1.0559006511671634, min values: -2.1536471558383585, max values: 3.518664430018096, median values: 0.1712859290221781, and quantile values: 0.25 -0.480593\n0.50 0.171286\n0.75 1.105327\nName: 3800, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2642134413941214, std values: 1.0138840268472402, min values: -2.5743883495350026, max values: 5.0, median values: 0.1910953509658561, and quantile values: 0.25 -0.427272\n0.50 0.191095\n0.75 0.984224\nName: 3801, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4439510109582566, std values: 0.7662683438464943, min values: -1.816149800373067, max values: 3.4566816047670264, median values: 0.4817052004655294, and quantile values: 0.25 -0.059571\n0.50 0.481705\n0.75 0.939177\nName: 3802, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12819225020827218, std values: 0.8308482118396743, min values: -2.215291168881953, max values: 3.630507857092792, median values: 0.095458338636029, and quantile values: 0.25 -0.443826\n0.50 0.095458\n0.75 0.672014\nName: 3803, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8888942605347337, std values: 1.0930623478732397, min values: -2.9029979285382743, max values: 3.0, median values: -0.8922296911863412, and quantile values: 0.25 -1.567836\n0.50 -0.892230\n0.75 -0.178853\nName: 3804, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1541200352443961, std values: 0.8641525315607502, min values: -2.622709665346679, max values: 3.3483277116524426, median values: 0.232103120386656, and quantile values: 0.25 -0.308529\n0.50 0.232103\n0.75 0.688097\nName: 3805, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02822013165696816, std values: 0.8565014043489948, min values: -2.240740315114864, max values: 4.0, median values: -0.0421291458981788, and quantile values: 0.25 -0.596233\n0.50 -0.042129\n0.75 0.610137\nName: 3806, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4845326361230267, std values: 1.045885100709875, min values: -2.558791007225312, max values: 3.32433157891547, median values: 0.4211951965752786, and quantile values: 0.25 -0.139708\n0.50 0.421195\n0.75 1.105682\nName: 3807, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01066249797060363, std values: 1.008331094211605, min values: -2.2012167772695554, max values: 3.455472209455805, median values: -0.0795904226231318, and quantile values: 0.25 -0.812199\n0.50 -0.079590\n0.75 0.712494\nName: 3808, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5245009782883525, std values: 0.864847680169826, min values: -2.6404955031131814, max values: 5.0, median values: -0.6311386048554614, and quantile values: 0.25 -1.143608\n0.50 -0.631139\n0.75 0.019692\nName: 3809, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07631761422464403, std values: 0.7894163936369151, min values: -2.321103531050575, max values: 4.0, median values: 0.0302331363090571, and quantile values: 0.25 -0.484363\n0.50 0.030233\n0.75 0.592352\nName: 3810, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4094868784794974, std values: 0.8778077661601719, min values: -2.0506726574774605, max values: 3.477886732511886, median values: 0.4450034057418699, and quantile values: 0.25 -0.213446\n0.50 0.445003\n0.75 1.081198\nName: 3811, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40174925481120516, std values: 0.8565591190646422, min values: -2.1296382068987767, max values: 6.0, median values: -0.5298699847040073, and quantile values: 0.25 -1.037068\n0.50 -0.529870\n0.75 0.122020\nName: 3812, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2859931966860389, std values: 0.940054028426091, min values: -2.580492024304656, max values: 3.784832159836258, median values: 0.3912151163883092, and quantile values: 0.25 -0.271356\n0.50 0.391215\n0.75 0.961983\nName: 3813, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0393016763214708, std values: 0.7752255576142273, min values: -2.572123985342288, max values: 4.0, median values: 0.0604304738251281, and quantile values: 0.25 -0.454449\n0.50 0.060430\n0.75 0.501068\nName: 3814, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5313026221597865, std values: 0.9382428800566766, min values: -2.264034258932616, max values: 3.2696814875916886, median values: -0.6966576230560515, and quantile values: 0.25 -1.313830\n0.50 -0.696658\n0.75 0.108802\nName: 3815, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1535821760344647, std values: 0.826505427334666, min values: -2.693453432157769, max values: 3.155379154255993, median values: -0.2593847437383221, and quantile values: 0.25 -0.736128\n0.50 -0.259385\n0.75 0.379247\nName: 3816, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1616991448768246, std values: 0.9524835181076259, min values: -2.679056533720636, max values: 5.0, median values: 0.1667307754623387, and quantile values: 0.25 -0.475714\n0.50 0.166731\n0.75 0.842753\nName: 3817, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21020576371162292, std values: 0.9524605540158969, min values: -2.580492024304656, max values: 3.9048392686725855, median values: 0.2537180810456864, and quantile values: 0.25 -0.468584\n0.50 0.253718\n0.75 0.925951\nName: 3818, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43284413861691945, std values: 0.9495070959139638, min values: -2.134987510471223, max values: 3.191712471143802, median values: 0.3935795898211262, and quantile values: 0.25 -0.233065\n0.50 0.393580\n0.75 1.088195\nName: 3819, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08953444030120133, std values: 0.7880170291824525, min values: -1.995451107828815, max values: 2.9919443268184467, median values: 0.0589406995817639, and quantile values: 0.25 -0.452763\n0.50 0.058941\n0.75 0.607982\nName: 3820, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17574717613080845, std values: 0.9112092126119183, min values: -2.061387406231346, max values: 3.312693232344632, median values: 0.2078878644759136, and quantile values: 0.25 -0.496224\n0.50 0.207888\n0.75 0.872113\nName: 3821, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03197111832624985, std values: 0.9721274878869466, min values: -3.101800431129944, max values: 6.0, median values: -0.1537497257988078, and quantile values: 0.25 -0.764154\n0.50 -0.153750\n0.75 0.622291\nName: 3822, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3071650667043997, std values: 0.9177104132319034, min values: -2.623568901859613, max values: 4.0, median values: 0.4323595474013137, and quantile values: 0.25 -0.257381\n0.50 0.432360\n0.75 0.935207\nName: 3823, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.004434289714198322, std values: 1.1326557328063964, min values: -3.0363117572416627, max values: 5.0, median values: 0.0872449403529542, and quantile values: 0.25 -0.614023\n0.50 0.087245\n0.75 0.758588\nName: 3824, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37495098830879586, std values: 0.9404805981252042, min values: -2.837386543755612, max values: 5.0, median values: -0.2927686829749366, and quantile values: 0.25 -1.008426\n0.50 -0.292769\n0.75 0.226505\nName: 3825, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06277856412545386, std values: 0.7250037964329615, min values: -2.90140378513671, max values: 4.243835016543704, median values: -0.110990577109583, and quantile values: 0.25 -0.536510\n0.50 -0.110991\n0.75 0.387160\nName: 3826, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04686535810476038, std values: 0.7410554452832387, min values: -2.076505579007744, max values: 3.0, median values: -0.0105175483905243, and quantile values: 0.25 -0.561801\n0.50 -0.010518\n0.75 0.466268\nName: 3827, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20268189737063716, std values: 1.0995930664970528, min values: -2.657870006553045, max values: 3.630507857092792, median values: 0.409490495047399, and quantile values: 0.25 -0.312522\n0.50 0.409490\n0.75 0.979719\nName: 3828, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21118754370611398, std values: 0.9837259040204813, min values: -2.576018450691392, max values: 4.0, median values: -0.2483764148655572, and quantile values: 0.25 -0.973376\n0.50 -0.248376\n0.75 0.495422\nName: 3829, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11977430652932967, std values: 0.9743498117323407, min values: -2.8246479422601736, max values: 6.0, median values: 0.157271800496385, and quantile values: 0.25 -0.524306\n0.50 0.157272\n0.75 0.838883\nName: 3830, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22690267093913033, std values: 0.910424362853421, min values: -2.5631847770497496, max values: 4.0, median values: -0.3423004356751406, and quantile values: 0.25 -0.94544\n0.50 -0.34230\n0.75 0.39929\nName: 3831, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.040011038273242885, std values: 0.777331406711228, min values: -2.111892494706718, max values: 5.0, median values: -0.0900983087997154, and quantile values: 0.25 -0.582567\n0.50 -0.090098\n0.75 0.446513\nName: 3832, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4282286135478405, std values: 0.8706843372921648, min values: -2.815821936576896, max values: 3.0, median values: -0.5081329047313901, and quantile values: 0.25 -0.981493\n0.50 -0.508133\n0.75 0.102445\nName: 3833, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06786123065200697, std values: 0.7647594405960896, min values: -2.5422910691068967, max values: 3.0, median values: 0.0723847446135181, and quantile values: 0.25 -0.445495\n0.50 0.072385\n0.75 0.556912\nName: 3834, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05844814258623236, std values: 1.2290317585503119, min values: -2.982771139679002, max values: 4.0, median values: 0.1912277916109965, and quantile values: 0.25 -0.741002\n0.50 0.191228\n0.75 1.026962\nName: 3835, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18982266746405316, std values: 0.8677073013701512, min values: -2.1371444472445806, max values: 4.0, median values: -0.2893503800775995, and quantile values: 0.25 -0.832181\n0.50 -0.289350\n0.75 0.372951\nName: 3836, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24311431320125684, std values: 0.8664412888625412, min values: -2.087919489660226, max values: 5.0, median values: 0.2841272061561767, and quantile values: 0.25 -0.305903\n0.50 0.284127\n0.75 0.829323\nName: 3837, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04234051537972475, std values: 1.0437371879616053, min values: -2.222049826555007, max values: 3.362228250221886, median values: -0.1892062495042516, and quantile values: 0.25 -0.795904\n0.50 -0.189206\n0.75 0.531016\nName: 3838, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27024019520012993, std values: 0.8382526985195489, min values: -2.657750824678472, max values: 5.0, median values: -0.2821123043259885, and quantile values: 0.25 -0.791694\n0.50 -0.282112\n0.75 0.239238\nName: 3839, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.403930298386376, std values: 0.9706780043794814, min values: -2.6115251494731915, max values: 5.0, median values: -0.5047157324972693, and quantile values: 0.25 -1.063773\n0.50 -0.504716\n0.75 0.254997\nName: 3840, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3245321058384869, std values: 0.8286195741899542, min values: -2.6850842010492566, max values: 6.0, median values: 0.2767057294232616, and quantile values: 0.25 -0.210666\n0.50 0.276706\n0.75 0.861328\nName: 3841, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22373249206540483, std values: 0.9093546532959791, min values: -2.374446373878101, max values: 4.0, median values: 0.1544185621143509, and quantile values: 0.25 -0.479356\n0.50 0.154419\n0.75 0.839661\nName: 3842, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4378140154548987, std values: 0.9746086303061797, min values: -2.960014365184806, max values: 6.0, median values: 0.5184005292175868, and quantile values: 0.25 -0.117069\n0.50 0.518401\n0.75 1.052858\nName: 3843, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20934929561888838, std values: 0.8470701431284965, min values: -1.9600365871275247, max values: 2.941870249647763, median values: -0.2865666255015989, and quantile values: 0.25 -0.891916\n0.50 -0.286567\n0.75 0.362289\nName: 3844, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05363051443270741, std values: 0.9567460768421894, min values: -2.7257183488872623, max values: 5.0, median values: -0.1435511602215455, and quantile values: 0.25 -0.718577\n0.50 -0.143551\n0.75 0.547961\nName: 3845, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6682449982253535, std values: 1.1187452450718283, min values: -2.64479559868397, max values: 6.0, median values: 0.6768426052163475, and quantile values: 0.25 -0.174765\n0.50 0.676843\n0.75 1.601439\nName: 3846, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05219814801869179, std values: 0.8544565551938564, min values: -2.275531026921315, max values: 6.0, median values: 0.0953677833762651, and quantile values: 0.25 -0.602558\n0.50 0.095368\n0.75 0.730788\nName: 3847, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17194230236208707, std values: 1.1510996160404516, min values: -2.732564679617164, max values: 3.760287110694155, median values: 0.2701903151382001, and quantile values: 0.25 -0.623877\n0.50 0.270190\n0.75 1.098203\nName: 3848, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10677565034982966, std values: 0.7752864081234448, min values: -2.8843374390620142, max values: 6.0, median values: 0.0812501966888547, and quantile values: 0.25 -0.372580\n0.50 0.081250\n0.75 0.555659\nName: 3849, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20028535681131068, std values: 0.8662490282754182, min values: -2.2423374092797945, max values: 3.2071942083719924, median values: -0.2762391794238233, and quantile values: 0.25 -0.826248\n0.50 -0.276239\n0.75 0.358523\nName: 3850, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09179793537026872, std values: 0.6965413324761536, min values: -2.0754191617391693, max values: 3.124705982383484, median values: -0.0738172638502259, and quantile values: 0.25 -0.557130\n0.50 -0.073817\n0.75 0.333990\nName: 3851, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5217042873237705, std values: 1.0085241881617735, min values: -3.1386665508340674, max values: 3.438667023696733, median values: 0.6779164742236515, and quantile values: 0.25 -0.074755\n0.50 0.677916\n0.75 1.244798\nName: 3852, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11171450903122233, std values: 1.1140726780839225, min values: -2.5695487141177, max values: 4.0, median values: 0.0732378451551878, and quantile values: 0.25 -0.725009\n0.50 0.073238\n0.75 0.902449\nName: 3853, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3399710043915287, std values: 1.0693791517184847, min values: -2.860922438481449, max values: 3.496479817235339, median values: 0.4530144405658852, and quantile values: 0.25 -0.421092\n0.50 0.453014\n0.75 1.183232\nName: 3854, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37688067179348855, std values: 0.947717656962947, min values: -2.0131371991989395, max values: 3.236860296211547, median values: 0.3426800719790144, and quantile values: 0.25 -0.330759\n0.50 0.342680\n0.75 1.128781\nName: 3855, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1580389497920386, std values: 0.8249449519216432, min values: -2.601639132009086, max values: 6.0, median values: -0.1859349114366293, and quantile values: 0.25 -0.726873\n0.50 -0.185935\n0.75 0.292481\nName: 3856, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03565664775002821, std values: 0.7730530162151453, min values: -2.278053076431408, max values: 3.721862465295849, median values: 0.0649933460724476, and quantile values: 0.25 -0.476512\n0.50 0.064993\n0.75 0.526329\nName: 3857, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3959502800493807, std values: 0.9615488343068904, min values: -2.643887016977268, max values: 6.0, median values: -0.4154170115907361, and quantile values: 0.25 -1.157582\n0.50 -0.415417\n0.75 0.236689\nName: 3858, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4679473504176178, std values: 1.0768360318445402, min values: -2.3922473154067863, max values: 5.0, median values: 0.3903477830988562, and quantile values: 0.25 -0.303625\n0.50 0.390348\n0.75 1.255179\nName: 3859, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1684214522157067, std values: 0.8036438328936177, min values: -2.7605491471423416, max values: 5.0, median values: 0.1758926451609079, and quantile values: 0.25 -0.357584\n0.50 0.175893\n0.75 0.667488\nName: 3860, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4250608685440261, std values: 1.165511051122147, min values: -2.8563982925340614, max values: 5.0, median values: -0.2490553690933372, and quantile values: 0.25 -1.253155\n0.50 -0.249055\n0.75 0.411787\nName: 3861, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10046854031170126, std values: 0.9409843128376398, min values: -1.983480940102163, max values: 3.528773265847577, median values: 0.0373275491047737, and quantile values: 0.25 -0.631821\n0.50 0.037328\n0.75 0.755888\nName: 3862, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.105670022246251, std values: 0.9996944386445492, min values: -2.486556664247513, max values: 3.8226908388056136, median values: -0.1817079718831609, and quantile values: 0.25 -0.844962\n0.50 -0.181708\n0.75 0.559358\nName: 3863, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38426523401530077, std values: 1.170546945490768, min values: -3.0484008792629496, max values: 5.0, median values: 0.3413444447981877, and quantile values: 0.25 -0.258163\n0.50 0.341344\n0.75 1.069416\nName: 3864, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21510514686648807, std values: 0.8158605672347498, min values: -2.0999281303014694, max values: 5.0, median values: 0.2685340247819787, and quantile values: 0.25 -0.334663\n0.50 0.268534\n0.75 0.758060\nName: 3865, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24163512132264234, std values: 0.9926837149001771, min values: -2.8282523283494294, max values: 3.1047159712539405, median values: 0.3674172415293878, and quantile values: 0.25 -0.304085\n0.50 0.367417\n0.75 0.923080\nName: 3866, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10603218471880434, std values: 0.9264701552214811, min values: -2.576018450691392, max values: 4.0, median values: -0.188487648783626, and quantile values: 0.25 -0.728739\n0.50 -0.188488\n0.75 0.516423\nName: 3867, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21855643948260495, std values: 1.0806661517720888, min values: -2.860922438481449, max values: 3.867701659180865, median values: -0.1435750395431538, and quantile values: 0.25 -1.041252\n0.50 -0.143575\n0.75 0.540589\nName: 3868, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6373170393027807, std values: 0.8823308088443154, min values: -2.210641609898715, max values: 3.598076523509904, median values: -0.8263814304822027, and quantile values: 0.25 -1.323208\n0.50 -0.826381\n0.75 -0.129160\nName: 3869, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06221288465750133, std values: 0.7803629076441115, min values: -2.226424194672579, max values: 4.0, median values: 0.0998303462038531, and quantile values: 0.25 -0.449780\n0.50 0.099830\n0.75 0.539502\nName: 3870, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.029112849842603865, std values: 0.7328492087663668, min values: -2.0884920198234647, max values: 3.155170554159904, median values: -0.0947943978876561, and quantile values: 0.25 -0.530713\n0.50 -0.094794\n0.75 0.408548\nName: 3871, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3098092778796747, std values: 0.743668005627303, min values: -2.119174832037031, max values: 5.0, median values: 0.322509715450551, and quantile values: 0.25 -0.167643\n0.50 0.322510\n0.75 0.787925\nName: 3872, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3729370270009404, std values: 0.8568250256811474, min values: -2.5422910691068967, max values: 3.0, median values: 0.4367166599873489, and quantile values: 0.25 -0.215668\n0.50 0.436717\n0.75 1.017673\nName: 3873, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21673148739052406, std values: 0.7370386570312976, min values: -2.27710446206836, max values: 3.362228250221886, median values: 0.2835537797820233, and quantile values: 0.25 -0.284213\n0.50 0.283554\n0.75 0.703724\nName: 3874, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09260874564488504, std values: 0.7949220413693713, min values: -2.148634675597145, max values: 5.0, median values: -0.0993809984518656, and quantile values: 0.25 -0.650077\n0.50 -0.099381\n0.75 0.389298\nName: 3875, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15023021732186137, std values: 0.8624547554999138, min values: -2.579723791499676, max values: 4.0, median values: 0.2167959199163009, and quantile values: 0.25 -0.463683\n0.50 0.216796\n0.75 0.789271\nName: 3876, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3487156655384815, std values: 0.8858764228936055, min values: -2.006908622861856, max values: 4.243835016543704, median values: 0.2807844781756415, and quantile values: 0.25 -0.210513\n0.50 0.280784\n0.75 0.922194\nName: 3877, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.057610232052109106, std values: 0.7580593753101329, min values: -2.623568901859613, max values: 4.0, median values: 0.0873696186013649, and quantile values: 0.25 -0.439658\n0.50 0.087370\n0.75 0.532455\nName: 3878, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27391971174127705, std values: 1.0647502069957338, min values: -2.769191083399913, max values: 4.026668017837955, median values: -0.2410808956128505, and quantile values: 0.25 -0.906399\n0.50 -0.241081\n0.75 0.473601\nName: 3879, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20735438740641668, std values: 0.9247361000976517, min values: -2.497627580948261, max values: 3.3337116327022187, median values: -0.2130589313423018, and quantile values: 0.25 -0.766728\n0.50 -0.213059\n0.75 0.315787\nName: 3880, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13791061554265358, std values: 1.1556917336629577, min values: -2.769191083399913, max values: 3.5427287984042666, median values: -0.0582683743826891, and quantile values: 0.25 -0.720199\n0.50 -0.058268\n0.75 0.664669\nName: 3881, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01603260794899782, std values: 0.8031168238422796, min values: -2.475778245535816, max values: 3.260388056018088, median values: 0.0105884558521615, and quantile values: 0.25 -0.602855\n0.50 0.010588\n0.75 0.512408\nName: 3882, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3989103561932861, std values: 0.8152435135434373, min values: -2.2915911556076085, max values: 3.5581019918925243, median values: 0.438277148363293, and quantile values: 0.25 -0.151493\n0.50 0.438277\n0.75 0.937415\nName: 3883, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04263262782100824, std values: 1.201321905004131, min values: -2.6652153608723106, max values: 5.0, median values: -0.0796852609057012, and quantile values: 0.25 -0.847680\n0.50 -0.079685\n0.75 0.825750\nName: 3884, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3746003922774161, std values: 0.881989355363913, min values: -2.154207450651022, max values: 6.0, median values: -0.4969191411133934, and quantile values: 0.25 -1.080579\n0.50 -0.496919\n0.75 0.251272\nName: 3885, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1878639830182883, std values: 1.1037211191617384, min values: -2.6652153608723106, max values: 3.5021977227593246, median values: 0.183242363147656, and quantile values: 0.25 -0.504957\n0.50 0.183242\n0.75 0.875190\nName: 3886, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39780786763189535, std values: 0.8116998618932287, min values: -2.0549757734273486, max values: 3.0, median values: -0.5445732995048777, and quantile values: 0.25 -0.979408\n0.50 -0.544573\n0.75 0.079728\nName: 3887, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5871113318513846, std values: 0.8548699667363296, min values: -2.5682675825126706, max values: 5.0, median values: 0.617286503475634, and quantile values: 0.25 0.017254\n0.50 0.617287\n0.75 1.173692\nName: 3888, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1802921248497459, std values: 0.9034200694121535, min values: -3.074005993202373, max values: 3.2071942083719924, median values: -0.2226358390522297, and quantile values: 0.25 -0.845048\n0.50 -0.222636\n0.75 0.428794\nName: 3889, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24611333552001965, std values: 0.8669220602831055, min values: -2.160984325879425, max values: 3.2701555622463814, median values: 0.1724852407230863, and quantile values: 0.25 -0.323003\n0.50 0.172485\n0.75 0.777706\nName: 3890, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.070436868119509, std values: 0.9892988640509034, min values: -2.7542003929097176, max values: 5.0, median values: -0.0795346916602775, and quantile values: 0.25 -0.738398\n0.50 -0.079535\n0.75 0.642360\nName: 3891, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03211784046592445, std values: 0.8866206239401981, min values: -2.5743883495350026, max values: 5.0, median values: -0.005837755760738, and quantile values: 0.25 -0.566618\n0.50 -0.005838\n0.75 0.619089\nName: 3892, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6826189359053257, std values: 1.1092984953162333, min values: -2.404833713667651, max values: 6.0, median values: 0.657422753440077, and quantile values: 0.25 -0.126688\n0.50 0.657423\n0.75 1.493512\nName: 3893, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05975065777877667, std values: 0.8551922268723441, min values: -2.4536054974529624, max values: 6.0, median values: 0.0379424815698244, and quantile values: 0.25 -0.495950\n0.50 0.037942\n0.75 0.600445\nName: 3894, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7150357927054117, std values: 0.9572309899266753, min values: -2.7116734725216043, max values: 6.0, median values: 0.7361585731822214, and quantile values: 0.25 0.019967\n0.50 0.736159\n0.75 1.482642\nName: 3895, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21109162107029006, std values: 0.7887691009177122, min values: -2.3184884946917497, max values: 6.0, median values: -0.2449952378619104, and quantile values: 0.25 -0.749707\n0.50 -0.244995\n0.75 0.264595\nName: 3896, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5959477905140249, std values: 0.945979168016643, min values: -3.4217036547572723, max values: 4.243835016543704, median values: 0.7275185241465186, and quantile values: 0.25 0.085496\n0.50 0.727519\n0.75 1.235776\nName: 3897, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.46779538576109436, std values: 0.7702633496945418, min values: -2.414039489297912, max values: 6.0, median values: 0.5256964955438298, and quantile values: 0.25 0.008620\n0.50 0.525696\n0.75 0.971254\nName: 3898, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06635154808419474, std values: 0.891835218076772, min values: -2.56026492390943, max values: 4.0, median values: -0.1237582077478707, and quantile values: 0.25 -0.732335\n0.50 -0.123758\n0.75 0.578558\nName: 3899, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10007551921916068, std values: 0.7364167532270356, min values: -2.7024513197886706, max values: 3.1106274661862763, median values: -0.1154529204328157, and quantile values: 0.25 -0.580448\n0.50 -0.115453\n0.75 0.341420\nName: 3900, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8373790194432963, std values: 0.8928717659858811, min values: -2.109338159609067, max values: 3.3337116327022187, median values: 0.8939587134941579, and quantile values: 0.25 0.228088\n0.50 0.893959\n0.75 1.507318\nName: 3901, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5984649523871867, std values: 1.1794941516337238, min values: -2.688157591415518, max values: 4.0, median values: -0.4901035219329119, and quantile values: 0.25 -1.708750\n0.50 -0.490104\n0.75 0.213011\nName: 3902, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1339932143029256, std values: 1.050580889910556, min values: -2.7542003929097176, max values: 5.0, median values: 0.0411553486582959, and quantile values: 0.25 -0.717414\n0.50 0.041155\n0.75 0.576866\nName: 3903, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3513281967272949, std values: 0.8030523272942484, min values: -2.275531026921315, max values: 6.0, median values: -0.4810558318036427, and quantile values: 0.25 -0.916208\n0.50 -0.481056\n0.75 0.130859\nName: 3904, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16197083242359106, std values: 0.994842115203473, min values: -2.6072570508709387, max values: 4.0, median values: -0.1299289966543811, and quantile values: 0.25 -0.877202\n0.50 -0.129929\n0.75 0.512166\nName: 3905, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05116849829066613, std values: 0.8705993267158864, min values: -2.1124050188802093, max values: 5.0, median values: 0.0483750569663722, and quantile values: 0.25 -0.598409\n0.50 0.048375\n0.75 0.689955\nName: 3906, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5231502419303949, std values: 1.1346078858691753, min values: -2.730840794324401, max values: 3.8226908388056136, median values: 0.4323595474013137, and quantile values: 0.25 -0.127308\n0.50 0.432360\n0.75 1.271081\nName: 3907, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05750948457265971, std values: 0.7980712314874745, min values: -2.0230551904343272, max values: 3.670892362631932, median values: 0.0821750247633358, and quantile values: 0.25 -0.497664\n0.50 0.082175\n0.75 0.573552\nName: 3908, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1911229206744993, std values: 1.0239914456668249, min values: -2.684072796644972, max values: 6.0, median values: -0.1497864826032051, and quantile values: 0.25 -0.948697\n0.50 -0.149786\n0.75 0.655839\nName: 3909, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3023270158974005, std values: 0.8625456393634582, min values: -2.7542003929097176, max values: 5.0, median values: -0.3208220545354346, and quantile values: 0.25 -0.896323\n0.50 -0.320822\n0.75 0.220942\nName: 3910, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08794119690814903, std values: 0.8421057885525116, min values: -2.662750916816848, max values: 5.0, median values: -0.0901932317192886, and quantile values: 0.25 -0.684687\n0.50 -0.090193\n0.75 0.459844\nName: 3911, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07742882516003863, std values: 0.9459257421330497, min values: -2.5682675825126706, max values: 5.0, median values: -0.2618021754731092, and quantile values: 0.25 -0.815650\n0.50 -0.261802\n0.75 0.588419\nName: 3912, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1251161514284042, std values: 0.8336832885909021, min values: -2.077731782356476, max values: 3.5427287984042666, median values: -0.2001898547663604, and quantile values: 0.25 -0.700124\n0.50 -0.200190\n0.75 0.390576\nName: 3913, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1377057993934172, std values: 1.097557454869184, min values: -2.27710446206836, max values: 3.2936960268109283, median values: -0.2666512516885455, and quantile values: 0.25 -1.056444\n0.50 -0.266651\n0.75 0.620353\nName: 3914, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4267856675464025, std values: 0.8252755139722505, min values: -2.2038853164231766, max values: 3.241738645014612, median values: 0.4097600401032167, and quantile values: 0.25 -0.195753\n0.50 0.409760\n0.75 1.014668\nName: 3915, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3954517277735149, std values: 0.9578463008963922, min values: -2.5820330744015787, max values: 4.0, median values: 0.5242109305912233, and quantile values: 0.25 -0.239660\n0.50 0.524211\n0.75 1.096866\nName: 3916, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0923985072742228, std values: 0.9555402706891771, min values: -2.3808324358856225, max values: 3.1395741599540568, median values: -0.1843964137813532, and quantile values: 0.25 -0.864563\n0.50 -0.184396\n0.75 0.561220\nName: 3917, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44341881298004776, std values: 0.9659904017577956, min values: -1.9664909660582977, max values: 5.0, median values: 0.5184376761501553, and quantile values: 0.25 -0.278057\n0.50 0.518438\n0.75 1.201055\nName: 3918, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5112515867612101, std values: 0.8619277328201386, min values: -2.5820330744015787, max values: 4.0, median values: -0.6038452115054616, and quantile values: 0.25 -1.133441\n0.50 -0.603845\n0.75 0.010410\nName: 3919, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2902609988807271, std values: 1.081026149689924, min values: -2.608390851963037, max values: 5.0, median values: 0.4830349990652748, and quantile values: 0.25 -0.308789\n0.50 0.483035\n0.75 1.068664\nName: 3920, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46209728192262545, std values: 0.9301974548541416, min values: -2.590643619371846, max values: 4.0, median values: -0.5502356311744175, and quantile values: 0.25 -1.182085\n0.50 -0.550236\n0.75 0.150351\nName: 3921, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.475946053517365, std values: 1.0027518188854057, min values: -2.93129584560762, max values: 6.0, median values: -0.5655840770732241, and quantile values: 0.25 -1.126786\n0.50 -0.565584\n0.75 0.112239\nName: 3922, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14631448093353622, std values: 0.9785158162250922, min values: -2.769191083399913, max values: 3.0774992973297404, median values: -0.1478985592602885, and quantile values: 0.25 -0.796975\n0.50 -0.147899\n0.75 0.525475\nName: 3923, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22656989241925363, std values: 0.841697702085965, min values: -1.9174980625348133, max values: 6.0, median values: 0.2789410745198625, and quantile values: 0.25 -0.389417\n0.50 0.278941\n0.75 0.840766\nName: 3924, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 1.3500641942767935, std values: 1.1424868663674632, min values: -2.125466800496085, max values: 6.0, median values: 1.6209982733004469, and quantile values: 0.25 0.518076\n0.50 1.620998\n0.75 2.276265\nName: 3925, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14876875345302593, std values: 0.7952160614273475, min values: -2.5743883495350026, max values: 5.0, median values: -0.1202781661996662, and quantile values: 0.25 -0.607764\n0.50 -0.120278\n0.75 0.313269\nName: 3926, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0602790449498014, std values: 0.7449851073423615, min values: -2.117561035454381, max values: 3.5427287984042666, median values: -0.0567769350249197, and quantile values: 0.25 -0.545180\n0.50 -0.056777\n0.75 0.393669\nName: 3927, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08172492340967877, std values: 0.7296789545680686, min values: -1.9668587727727207, max values: 3.141939528112806, median values: 0.0588303511783986, and quantile values: 0.25 -0.382326\n0.50 0.058830\n0.75 0.524357\nName: 3928, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20340011857300191, std values: 1.053548356457829, min values: -2.63315074164461, max values: 6.0, median values: 0.3524136208925248, and quantile values: 0.25 -0.450146\n0.50 0.352414\n0.75 0.874393\nName: 3929, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34631347002020535, std values: 0.7905207928945194, min values: -2.566149343918479, max values: 6.0, median values: 0.4027017376530646, and quantile values: 0.25 -0.173678\n0.50 0.402702\n0.75 0.917143\nName: 3930, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13671174757294524, std values: 0.9183616228118787, min values: -2.688157591415518, max values: 5.0, median values: 0.1372171545009761, and quantile values: 0.25 -0.479263\n0.50 0.137217\n0.75 0.711571\nName: 3931, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07244782393937677, std values: 0.9580052679499462, min values: -2.8531572940820533, max values: 6.0, median values: 0.0238258345130284, and quantile values: 0.25 -0.488993\n0.50 0.023826\n0.75 0.716436\nName: 3932, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16775042033409732, std values: 0.7402994535809478, min values: -1.9318916138775528, max values: 5.0, median values: 0.1241903291091143, and quantile values: 0.25 -0.329668\n0.50 0.124190\n0.75 0.659096\nName: 3933, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06162330453222334, std values: 1.09408032658523, min values: -2.9622221028070275, max values: 6.0, median values: 0.0141102673769556, and quantile values: 0.25 -0.610436\n0.50 0.014110\n0.75 0.793959\nName: 3934, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3478691765041646, std values: 0.862143854734557, min values: -2.9797100147087465, max values: 5.0, median values: 0.3821486178410037, and quantile values: 0.25 -0.196116\n0.50 0.382149\n0.75 0.904765\nName: 3935, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20821169564740677, std values: 0.9444542504497226, min values: -2.6635706018350787, max values: 3.397048482165858, median values: -0.1262831213819094, and quantile values: 0.25 -0.888954\n0.50 -0.126283\n0.75 0.435651\nName: 3936, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36754834160313127, std values: 0.8365166006561676, min values: -3.074005993202373, max values: 4.026668017837955, median values: 0.4243905147008144, and quantile values: 0.25 -0.174210\n0.50 0.424391\n0.75 0.889000\nName: 3937, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21788198583162433, std values: 0.8141943849860375, min values: -2.572123985342288, max values: 4.0, median values: 0.1687202272334861, and quantile values: 0.25 -0.317390\n0.50 0.168720\n0.75 0.731178\nName: 3938, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.348192700285546, std values: 0.8318957154000401, min values: -2.300042081328127, max values: 4.0, median values: 0.3759770715594064, and quantile values: 0.25 -0.252693\n0.50 0.375977\n0.75 0.986902\nName: 3939, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6127371630094519, std values: 0.9747141999239691, min values: -2.4564928597243227, max values: 4.0, median values: 0.6533212587141191, and quantile values: 0.25 -0.073901\n0.50 0.653321\n0.75 1.391355\nName: 3940, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7565837183134565, std values: 0.958460739436424, min values: -2.601639132009086, max values: 6.0, median values: 0.8223312745561302, and quantile values: 0.25 0.050410\n0.50 0.822331\n0.75 1.521710\nName: 3941, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40191795256955637, std values: 0.8206470876018446, min values: -2.6820581866633817, max values: 3.709787027503053, median values: -0.4572190256632444, and quantile values: 0.25 -0.925489\n0.50 -0.457219\n0.75 0.075797\nName: 3942, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22376460709973492, std values: 0.894860973343213, min values: -2.8451834694312192, max values: 3.8226908388056136, median values: -0.359228306621563, and quantile values: 0.25 -0.908004\n0.50 -0.359228\n0.75 0.360422\nName: 3943, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43846005944171595, std values: 0.8277509588927515, min values: -1.946330687176648, max values: 6.0, median values: 0.4124559242380532, and quantile values: 0.25 -0.100046\n0.50 0.412456\n0.75 0.980231\nName: 3944, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43781654170495127, std values: 0.9358873381683891, min values: -2.5682675825126706, max values: 5.0, median values: -0.5852868395223747, and quantile values: 0.25 -1.183676\n0.50 -0.585287\n0.75 0.202158\nName: 3945, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22954336858107385, std values: 0.8781595458778131, min values: -2.0213795396778536, max values: 4.0, median values: 0.2687579728070797, and quantile values: 0.25 -0.458392\n0.50 0.268758\n0.75 0.928358\nName: 3946, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12740499305169253, std values: 0.9033152749165673, min values: -2.5906203367024587, max values: 3.247416277295021, median values: -0.1447213435206692, and quantile values: 0.25 -0.856867\n0.50 -0.144721\n0.75 0.502095\nName: 3947, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5321746876191021, std values: 0.9774482454158455, min values: -2.4960309093026924, max values: 3.362228250221886, median values: 0.5246283193235887, and quantile values: 0.25 -0.196381\n0.50 0.524628\n0.75 1.334293\nName: 3948, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37450577617429487, std values: 0.7499827924989437, min values: -2.300042081328127, max values: 4.0, median values: -0.480437573998081, and quantile values: 0.25 -0.883286\n0.50 -0.480438\n0.75 0.045441\nName: 3949, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04660251887621295, std values: 1.017745181777229, min values: -2.1238235090034925, max values: 3.784832159836258, median values: 0.0615892796889727, and quantile values: 0.25 -0.785566\n0.50 0.061589\n0.75 0.874739\nName: 3950, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9466697264986483, std values: 1.3762237603611553, min values: -2.727901130262228, max values: 4.0, median values: -1.6207345438050902, and quantile values: 0.25 -2.140874\n0.50 -1.620735\n0.75 0.294724\nName: 3951, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13757918589857213, std values: 0.7979193608939616, min values: -2.299460330888208, max values: 4.0, median values: 0.2289073958656547, and quantile values: 0.25 -0.413305\n0.50 0.228907\n0.75 0.675251\nName: 3952, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3752224822934558, std values: 1.2160538089510602, min values: -2.4823451998031074, max values: 3.438667023696733, median values: 0.2628853082866111, and quantile values: 0.25 -0.488540\n0.50 0.262885\n0.75 1.193040\nName: 3953, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33746996277007574, std values: 0.8985145544141362, min values: -2.24438354120969, max values: 3.670892362631932, median values: 0.4351572343470544, and quantile values: 0.25 -0.298004\n0.50 0.435157\n0.75 1.002757\nName: 3954, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19212843287594059, std values: 1.2303416808684073, min values: -2.687115288423959, max values: 5.0, median values: 0.1031521292607496, and quantile values: 0.25 -0.777099\n0.50 0.103152\n0.75 1.241068\nName: 3955, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08571282352938711, std values: 0.9711533999616613, min values: -2.4536054974529624, max values: 6.0, median values: 0.0267338086361191, and quantile values: 0.25 -0.715459\n0.50 0.026734\n0.75 0.774034\nName: 3956, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4214045853902084, std values: 0.9536706172127782, min values: -2.0513495754327686, max values: 4.026668017837955, median values: 0.4381118459132249, and quantile values: 0.25 -0.297573\n0.50 0.438112\n0.75 1.222053\nName: 3957, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19275958310995425, std values: 0.8467816199156346, min values: -2.919359491767569, max values: 6.0, median values: -0.3037240474471268, and quantile values: 0.25 -0.767726\n0.50 -0.303724\n0.75 0.327024\nName: 3958, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11448141337468178, std values: 0.7255769644623845, min values: -2.90140378513671, max values: 3.1175233493066874, median values: -0.1518662062167522, and quantile values: 0.25 -0.601369\n0.50 -0.151866\n0.75 0.339732\nName: 3959, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11897952956627388, std values: 1.0575190288187124, min values: -2.740813841730953, max values: 3.760287110694155, median values: 0.0529187094586982, and quantile values: 0.25 -0.513467\n0.50 0.052919\n0.75 0.618018\nName: 3960, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15431165310438616, std values: 0.770651361271745, min values: -2.0898718573687374, max values: 3.784832159836258, median values: 0.0982528873025446, and quantile values: 0.25 -0.371180\n0.50 0.098253\n0.75 0.654053\nName: 3961, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11285556335033768, std values: 0.9080151945367305, min values: -2.5399045531878324, max values: 4.0, median values: -0.1766706652010983, and quantile values: 0.25 -0.687798\n0.50 -0.176671\n0.75 0.485699\nName: 3962, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20083343889105024, std values: 0.9358649377797138, min values: -2.6072570508709387, max values: 4.0, median values: 0.2992967328039277, and quantile values: 0.25 -0.388645\n0.50 0.299297\n0.75 0.846298\nName: 3963, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18778900699414067, std values: 0.886567578647399, min values: -2.6117120822772133, max values: 5.0, median values: -0.2742508761705211, and quantile values: 0.25 -0.859423\n0.50 -0.274251\n0.75 0.418459\nName: 3964, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39530547106261865, std values: 0.9135180406562738, min values: -2.815821936576896, max values: 3.1175233493066874, median values: -0.4816742735440152, and quantile values: 0.25 -0.993036\n0.50 -0.481674\n0.75 0.151699\nName: 3965, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45969558368174895, std values: 0.9558521066376294, min values: -2.6270253558526173, max values: 4.0, median values: -0.6112926368357833, and quantile values: 0.25 -1.112265\n0.50 -0.611293\n0.75 0.115841\nName: 3966, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3289949026639287, std values: 0.8321043744239257, min values: -2.7428415536925543, max values: 5.0, median values: -0.3962293540299855, and quantile values: 0.25 -0.833586\n0.50 -0.396229\n0.75 0.140543\nName: 3967, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10285787426392817, std values: 0.7997705109828702, min values: -2.0903611962432427, max values: 3.141939528112806, median values: -0.1798545226728292, and quantile values: 0.25 -0.623561\n0.50 -0.179855\n0.75 0.384844\nName: 3968, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18040791830110575, std values: 0.9497535522999346, min values: -2.2915911556076085, max values: 3.0, median values: -0.2552560598228414, and quantile values: 0.25 -0.931782\n0.50 -0.255256\n0.75 0.484709\nName: 3969, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2694877833627416, std values: 0.9175037379048162, min values: -2.507084845405409, max values: 3.0, median values: -0.3143840548527625, and quantile values: 0.25 -1.014668\n0.50 -0.314384\n0.75 0.381408\nName: 3970, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43071665437084217, std values: 0.7742881781253951, min values: -2.419659473655063, max values: 4.0, median values: -0.5491786088539585, and quantile values: 0.25 -1.023887\n0.50 -0.549179\n0.75 0.065609\nName: 3971, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44545599008918646, std values: 1.3949507030971113, min values: -2.8680719719444903, max values: 3.867701659180865, median values: 0.2754044504531479, and quantile values: 0.25 -0.693648\n0.50 0.275404\n0.75 1.694113\nName: 3972, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43953833304291245, std values: 0.8607397171242874, min values: -2.789830374413015, max values: 3.8226908388056136, median values: -0.5400418217249727, and quantile values: 0.25 -1.043907\n0.50 -0.540042\n0.75 0.041680\nName: 3973, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16149614711557622, std values: 1.249010535516701, min values: -2.842043939794492, max values: 3.0, median values: 0.0763663412982497, and quantile values: 0.25 -1.023407\n0.50 0.076366\n0.75 0.720751\nName: 3974, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38920316263107163, std values: 0.7836059022338661, min values: -2.09776205448632, max values: 3.2696814875916886, median values: -0.4190025911895733, and quantile values: 0.25 -0.962765\n0.50 -0.419003\n0.75 0.060430\nName: 3975, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04671952096553911, std values: 0.7439380552140248, min values: -2.7884838087481176, max values: 6.0, median values: -0.0573450873275194, and quantile values: 0.25 -0.511332\n0.50 -0.057345\n0.75 0.352597\nName: 3976, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10456881338187576, std values: 0.9004899002815789, min values: -2.63315074164461, max values: 6.0, median values: 0.1899736004020701, and quantile values: 0.25 -0.353184\n0.50 0.189974\n0.75 0.649931\nName: 3977, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45860421242449007, std values: 0.8588428170995273, min values: -2.5039074859839925, max values: 4.0, median values: 0.4984171562253059, and quantile values: 0.25 -0.157104\n0.50 0.498417\n0.75 1.120950\nName: 3978, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09296313116108759, std values: 0.941366386824548, min values: -2.6115251494731915, max values: 3.169414082461771, median values: 0.070133758346577, and quantile values: 0.25 -0.433158\n0.50 0.070134\n0.75 0.732912\nName: 3979, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2899619515428265, std values: 0.8599632867133823, min values: -2.447867026037265, max values: 4.0, median values: 0.331665060458974, and quantile values: 0.25 -0.316539\n0.50 0.331665\n0.75 0.917935\nName: 3980, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3340130391556152, std values: 0.789352990810124, min values: -2.3893642989164, max values: 3.197902420311553, median values: 0.2979869807115006, and quantile values: 0.25 -0.186442\n0.50 0.297987\n0.75 0.866213\nName: 3981, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3933794250696274, std values: 0.7960331506584979, min values: -2.688157591415518, max values: 5.0, median values: 0.4890479718501533, and quantile values: 0.25 -0.142644\n0.50 0.489048\n0.75 0.965587\nName: 3982, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5135541643419038, std values: 0.8028594289510989, min values: -1.976101653356596, max values: 3.124705982383484, median values: 0.5972784014609444, and quantile values: 0.25 -0.055989\n0.50 0.597278\n0.75 1.099198\nName: 3983, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20533582343740833, std values: 1.0490387880407328, min values: -2.087432639025188, max values: 3.0838352979250487, median values: -0.2539865736785823, and quantile values: 0.25 -1.089437\n0.50 -0.253987\n0.75 0.573357\nName: 3984, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24750991757609528, std values: 0.8963540462985475, min values: -2.5743883495350026, max values: 5.0, median values: -0.2127204645301023, and quantile values: 0.25 -0.765674\n0.50 -0.212720\n0.75 0.297641\nName: 3985, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.085450193411644, std values: 0.8320264447624851, min values: -2.4737574649270093, max values: 4.278004674434932, median values: -0.2194460657221753, and quantile values: 0.25 -0.651538\n0.50 -0.219446\n0.75 0.390195\nName: 3986, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24470374684270205, std values: 0.9172336068152677, min values: -2.7027130462350266, max values: 3.0, median values: -0.3966762170761725, and quantile values: 0.25 -0.944244\n0.50 -0.396676\n0.75 0.389481\nName: 3987, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5356674120841044, std values: 0.8296654563661697, min values: -2.125402219364062, max values: 4.0, median values: -0.5933373695121108, and quantile values: 0.25 -1.171316\n0.50 -0.593337\n0.75 -0.040108\nName: 3988, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3860062656238031, std values: 0.9103530850930452, min values: -2.5820330744015787, max values: 4.0, median values: 0.388971407932876, and quantile values: 0.25 -0.133715\n0.50 0.388971\n0.75 0.955356\nName: 3989, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.018915349810850916, std values: 0.9021502383907637, min values: -2.1212040292999417, max values: 6.0, median values: -0.1582657212536276, and quantile values: 0.25 -0.628855\n0.50 -0.158266\n0.75 0.527911\nName: 3990, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14236006076848104, std values: 0.982971176722055, min values: -2.8282523283494294, max values: 4.0, median values: 0.1812040357911874, and quantile values: 0.25 -0.395965\n0.50 0.181204\n0.75 0.710082\nName: 3991, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.026619213524433395, std values: 0.712012331184305, min values: -2.662750916816848, max values: 5.0, median values: -0.0307769829001826, and quantile values: 0.25 -0.473284\n0.50 -0.030777\n0.75 0.419303\nName: 3992, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16501819120553324, std values: 0.8950433491860765, min values: -2.148177768995611, max values: 5.0, median values: 0.1200675323760578, and quantile values: 0.25 -0.398375\n0.50 0.120068\n0.75 0.729026\nName: 3993, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08617494609041464, std values: 0.8820285124757848, min values: -3.074005993202373, max values: 3.415255285860171, median values: -0.1332706414336725, and quantile values: 0.25 -0.703846\n0.50 -0.133271\n0.75 0.480858\nName: 3994, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2216304177215149, std values: 0.8216241616215846, min values: -2.113406475564999, max values: 6.0, median values: 0.2280490109953322, and quantile values: 0.25 -0.349873\n0.50 0.228049\n0.75 0.769895\nName: 3995, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39145998046967184, std values: 1.0475873194965923, min values: -2.6122411453164007, max values: 4.0, median values: 0.5705353455498673, and quantile values: 0.25 -0.118497\n0.50 0.570535\n0.75 1.085954\nName: 3996, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5787707077723633, std values: 0.7371879567062126, min values: -1.9236043616560257, max values: 6.0, median values: 0.617543878184938, and quantile values: 0.25 0.105561\n0.50 0.617544\n0.75 1.071093\nName: 3997, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18156558881387766, std values: 0.7309820351453463, min values: -2.6278943940336483, max values: 4.0, median values: -0.2326406865735987, and quantile values: 0.25 -0.662266\n0.50 -0.232641\n0.75 0.245591\nName: 3998, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18761499065381806, std values: 1.0958720732702614, min values: -2.799990485600992, max values: 5.0, median values: 0.1606923050089441, and quantile values: 0.25 -0.512525\n0.50 0.160692\n0.75 0.971607\nName: 3999, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04279811347677022, std values: 0.7784776362789388, min values: -2.1414883906350908, max values: 5.0, median values: -0.0846190274704952, and quantile values: 0.25 -0.542860\n0.50 -0.084619\n0.75 0.401866\nName: 4000, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.059446320596895044, std values: 0.9067445608773835, min values: -2.73836943861057, max values: 4.243835016543704, median values: -0.1078599465632326, and quantile values: 0.25 -0.746955\n0.50 -0.107860\n0.75 0.570818\nName: 4001, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47235897806139127, std values: 0.9202231050539164, min values: -2.2896931241918383, max values: 6.0, median values: 0.5345536090786503, and quantile values: 0.25 -0.189158\n0.50 0.534554\n0.75 1.158275\nName: 4002, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.066930249751759, std values: 0.7229482435512382, min values: -2.2161166709808824, max values: 6.0, median values: -0.049977110831694, and quantile values: 0.25 -0.554620\n0.50 -0.049977\n0.75 0.415572\nName: 4003, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3488017758595339, std values: 1.0307275912422422, min values: -2.727901130262228, max values: 4.0, median values: -0.3696432202144263, and quantile values: 0.25 -1.003265\n0.50 -0.369643\n0.75 0.301115\nName: 4004, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36842218902725027, std values: 1.33826252038191, min values: -2.769191083399913, max values: 3.9905524164385566, median values: 0.545134994368649, and quantile values: 0.25 -0.184621\n0.50 0.545135\n0.75 1.190300\nName: 4005, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49094544195625156, std values: 0.8167918105928696, min values: -2.876502173242568, max values: 2.8312708861494635, median values: -0.5480261929269232, and quantile values: 0.25 -1.025563\n0.50 -0.548026\n0.75 -0.003470\nName: 4006, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45165645116261643, std values: 0.9592778025699877, min values: -2.442256129120324, max values: 6.0, median values: -0.5210855376861745, and quantile values: 0.25 -1.250135\n0.50 -0.521086\n0.75 0.211899\nName: 4007, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.1402670290118333, std values: 1.2526224560152013, min values: -2.727901130262228, max values: 4.0, median values: -1.801997760041013, and quantile values: 0.25 -2.168815\n0.50 -1.801998\n0.75 0.005425\nName: 4008, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28999025244108956, std values: 0.9704820252192332, min values: -2.623568901859613, max values: 4.0, median values: -0.248327665399414, and quantile values: 0.25 -0.938589\n0.50 -0.248328\n0.75 0.308703\nName: 4009, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.024253386571994176, std values: 0.8531815762763559, min values: -2.406113529328762, max values: 3.0, median values: -0.1203891238948605, and quantile values: 0.25 -0.631965\n0.50 -0.120389\n0.75 0.559229\nName: 4010, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5509067038775747, std values: 0.9361810992578938, min values: -2.117042895443173, max values: 5.0, median values: -0.6502433440462614, and quantile values: 0.25 -1.344472\n0.50 -0.650243\n0.75 0.054638\nName: 4011, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3351716579923159, std values: 0.9004103045930612, min values: -2.196708653609315, max values: 6.0, median values: 0.3071909010151667, and quantile values: 0.25 -0.323293\n0.50 0.307191\n0.75 1.045604\nName: 4012, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6735750587808188, std values: 0.8880456873130274, min values: -1.8658640954646544, max values: 3.630507857092792, median values: 0.8022045760933691, and quantile values: 0.25 0.111193\n0.50 0.802205\n0.75 1.333671\nName: 4013, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05358937446846962, std values: 1.0801988010254089, min values: -2.9029979285382743, max values: 6.0, median values: -0.0416087308480496, and quantile values: 0.25 -0.668789\n0.50 -0.041609\n0.75 0.677605\nName: 4014, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08499780837956028, std values: 0.9132297516558102, min values: -2.8246479422601736, max values: 6.0, median values: 0.0994428772941279, and quantile values: 0.25 -0.418304\n0.50 0.099443\n0.75 0.647364\nName: 4015, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04066980701533495, std values: 1.203341564933174, min values: -2.869671295224012, max values: 6.0, median values: -0.0356985305544257, and quantile values: 0.25 -0.870463\n0.50 -0.035699\n0.75 0.808949\nName: 4016, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31446211903099497, std values: 0.8453865644915186, min values: -1.9061604523779403, max values: 3.247416277295021, median values: 0.3536210146248584, and quantile values: 0.25 -0.257700\n0.50 0.353621\n0.75 0.853624\nName: 4017, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.1061830994430653, std values: 1.2580920182082318, min values: -3.447534482420193, max values: 3.3337116327022187, median values: -1.6245297358227977, and quantile values: 0.25 -2.095024\n0.50 -1.624530\n0.75 -0.113402\nName: 4018, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.130707818033976, std values: 0.8588960836541436, min values: -2.608390851963037, max values: 5.0, median values: 0.1075786986032644, and quantile values: 0.25 -0.454877\n0.50 0.107579\n0.75 0.701110\nName: 4019, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.002534179733018675, std values: 0.973517290285181, min values: -2.981718296512785, max values: 5.0, median values: 0.0534867409199098, and quantile values: 0.25 -0.484470\n0.50 0.053487\n0.75 0.622558\nName: 4020, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09668412404591557, std values: 0.9328508558561321, min values: -2.5759052915632985, max values: 3.280245386470253, median values: -0.2194187251341724, and quantile values: 0.25 -0.824554\n0.50 -0.219419\n0.75 0.512085\nName: 4021, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3391919049967842, std values: 1.1532074976518178, min values: -2.7211321814067784, max values: 3.0, median values: 0.6457622949176571, and quantile values: 0.25 -0.175188\n0.50 0.645762\n0.75 1.150086\nName: 4022, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33995668262442774, std values: 0.9672519615418116, min values: -2.691679752648721, max values: 5.0, median values: 0.4107785903470671, and quantile values: 0.25 -0.367348\n0.50 0.410779\n0.75 1.074792\nName: 4023, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45252114894840584, std values: 1.1303180460093403, min values: -2.608390851963037, max values: 5.0, median values: 0.5660365566112725, and quantile values: 0.25 -0.269676\n0.50 0.566037\n0.75 1.304828\nName: 4024, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29714297857643773, std values: 1.0499543440259398, min values: -2.740813841730953, max values: 3.721862465295849, median values: 0.3794244927409053, and quantile values: 0.25 -0.426380\n0.50 0.379424\n0.75 1.136096\nName: 4025, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05052929142109714, std values: 1.1450128242883755, min values: -3.124705982383478, max values: 3.518664430018096, median values: 0.1577743212316255, and quantile values: 0.25 -0.531206\n0.50 0.157774\n0.75 0.671243\nName: 4026, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.449017299546287, std values: 1.1298162130254903, min values: -2.7211321814067784, max values: 3.0, median values: -0.4288546504643243, and quantile values: 0.25 -1.176438\n0.50 -0.428855\n0.75 0.332239\nName: 4027, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44531698551072524, std values: 1.0197699208630822, min values: -2.632854336056873, max values: 3.0, median values: -0.438043007151169, and quantile values: 0.25 -1.277255\n0.50 -0.438043\n0.75 0.327872\nName: 4028, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0022993476133970213, std values: 0.8627112756928413, min values: -2.841647375415054, max values: 5.0, median values: -0.0988340277186908, and quantile values: 0.25 -0.601666\n0.50 -0.098834\n0.75 0.558345\nName: 4029, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33172993749587715, std values: 1.1683768701895267, min values: -2.841647375415054, max values: 5.0, median values: 0.3960674223335171, and quantile values: 0.25 -0.545628\n0.50 0.396067\n0.75 1.319991\nName: 4030, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24749061477139184, std values: 1.222225545343174, min values: -2.727901130262228, max values: 4.0, median values: 0.4380512201799112, and quantile values: 0.25 -0.419003\n0.50 0.438051\n0.75 1.089135\nName: 4031, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0598771956703025, std values: 0.8613285269296478, min values: -2.730840794324401, max values: 3.0, median values: 0.1050903594522177, and quantile values: 0.25 -0.526867\n0.50 0.105090\n0.75 0.660930\nName: 4032, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10539736527508406, std values: 1.0394604924002884, min values: -2.679056533720636, max values: 5.0, median values: 0.2115843610643918, and quantile values: 0.25 -0.534554\n0.50 0.211584\n0.75 0.874412\nName: 4033, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7812194331604827, std values: 1.1183951860725476, min values: -2.580492024304656, max values: 3.784832159836258, median values: 0.848350889984536, and quantile values: 0.25 -0.025752\n0.50 0.848351\n0.75 1.709818\nName: 4034, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1969793282474084, std values: 0.8848517406887799, min values: -2.5213149333948146, max values: 3.5021977227593246, median values: -0.3251048257157294, and quantile values: 0.25 -0.835662\n0.50 -0.325105\n0.75 0.339469\nName: 4035, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46216806189982873, std values: 1.0053990364514032, min values: -2.928515832252388, max values: 5.0, median values: -0.4062582672629798, and quantile values: 0.25 -1.036826\n0.50 -0.406258\n0.75 0.198020\nName: 4036, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19844064086979346, std values: 1.0919596940090142, min values: -2.87684958111886, max values: 3.784832159836258, median values: -0.0660828707075031, and quantile values: 0.25 -0.987986\n0.50 -0.066083\n0.75 0.666308\nName: 4037, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.034788611321120134, std values: 0.7779959692397935, min values: -2.034483421188461, max values: 5.0, median values: 0.0746123973059665, and quantile values: 0.25 -0.510038\n0.50 0.074612\n0.75 0.569817\nName: 4038, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.46246428264359324, std values: 0.8684445149555, min values: -2.2065783767301927, max values: 6.0, median values: 0.5408076375239975, and quantile values: 0.25 -0.119306\n0.50 0.540808\n0.75 1.047811\nName: 4039, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10593640025230922, std values: 0.7879493191253908, min values: -2.2272703849889663, max values: 3.3014869995452325, median values: 0.043277766645411, and quantile values: 0.25 -0.408060\n0.50 0.043278\n0.75 0.586357\nName: 4040, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05820625763061861, std values: 0.783619910366857, min values: -2.0857325468431176, max values: 2.6922420594942844, median values: -0.1507425963664323, and quantile values: 0.25 -0.602162\n0.50 -0.150743\n0.75 0.459769\nName: 4041, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2564540053307408, std values: 0.8010305320294683, min values: -2.5122218748354936, max values: 3.041094191308108, median values: -0.2838978244058229, and quantile values: 0.25 -0.742869\n0.50 -0.283898\n0.75 0.229614\nName: 4042, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36856149479412736, std values: 0.8389744357485981, min values: -2.8547740449753216, max values: 5.0, median values: -0.3481917725014413, and quantile values: 0.25 -0.945145\n0.50 -0.348192\n0.75 0.135883\nName: 4043, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4580272877480329, std values: 0.7743881253696179, min values: -2.27710446206836, max values: 3.047545592545638, median values: 0.5247910550046188, and quantile values: 0.25 -0.003049\n0.50 0.524791\n0.75 0.977496\nName: 4044, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.411382862647181, std values: 0.9297679754032104, min values: -2.5695487141177, max values: 4.0, median values: -0.4869428696789888, and quantile values: 0.25 -0.992997\n0.50 -0.486943\n0.75 0.148763\nName: 4045, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1173403095050428, std values: 0.9580040108202755, min values: -2.4536054974529624, max values: 6.0, median values: -0.1491533212106866, and quantile values: 0.25 -0.909968\n0.50 -0.149153\n0.75 0.567362\nName: 4046, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1752555932815065, std values: 0.8271404791493032, min values: -2.372995607737588, max values: 5.0, median values: -0.2431148558738153, and quantile values: 0.25 -0.750826\n0.50 -0.243115\n0.75 0.337107\nName: 4047, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10282607648905033, std values: 0.747684478495822, min values: -2.580492024304656, max values: 3.9048392686725855, median values: -0.1647659408368143, and quantile values: 0.25 -0.574461\n0.50 -0.164766\n0.75 0.318161\nName: 4048, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4001983993472136, std values: 0.9744517148389408, min values: -2.579723791499676, max values: 4.0, median values: 0.4068269439777334, and quantile values: 0.25 -0.345222\n0.50 0.406827\n0.75 1.212478\nName: 4049, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2232078497836527, std values: 0.8863881516994568, min values: -2.7871422803648627, max values: 3.390469008396469, median values: -0.200949196122506, and quantile values: 0.25 -0.804524\n0.50 -0.200949\n0.75 0.292457\nName: 4050, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14778540080939315, std values: 1.1442718806795151, min values: -2.9622221028070275, max values: 6.0, median values: 0.2609005143844634, and quantile values: 0.25 -0.640307\n0.50 0.260901\n0.75 1.045033\nName: 4051, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.009793038761367681, std values: 1.0687868856902887, min values: -2.608390851963037, max values: 5.0, median values: 0.1569607361413376, and quantile values: 0.25 -0.611896\n0.50 0.156961\n0.75 0.737306\nName: 4052, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.67660064180506, std values: 1.1937569479095715, min values: -2.9029979285382743, max values: 3.2936960268109283, median values: -0.5602239277731259, and quantile values: 0.25 -1.732733\n0.50 -0.560224\n0.75 0.110741\nName: 4053, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06960492758534183, std values: 0.843246155683647, min values: -2.542889966859849, max values: 6.0, median values: 0.1157578839430053, and quantile values: 0.25 -0.531777\n0.50 0.115758\n0.75 0.629831\nName: 4054, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2621221988628345, std values: 0.962578681330598, min values: -2.8998169811239416, max values: 4.278004674434932, median values: 0.2647957948404102, and quantile values: 0.25 -0.271871\n0.50 0.264796\n0.75 0.849219\nName: 4055, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19580322927558602, std values: 1.142569129423622, min values: -2.8246479422601736, max values: 5.0, median values: 0.0069013300867831, and quantile values: 0.25 -0.954052\n0.50 0.006901\n0.75 0.660183\nName: 4056, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.016986458377050914, std values: 0.7734699319957775, min values: -2.783691185534105, max values: 2.994755503775916, median values: -0.0565131981035713, and quantile values: 0.25 -0.497213\n0.50 -0.056513\n0.75 0.457350\nName: 4057, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3263675661616854, std values: 0.7701256653300922, min values: -2.0477799217050063, max values: 5.0, median values: 0.3648151494512431, and quantile values: 0.25 -0.190265\n0.50 0.364815\n0.75 0.891041\nName: 4058, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15640399482572265, std values: 0.8945640832707057, min values: -2.6412681606926487, max values: 3.0, median values: -0.1201949489001213, and quantile values: 0.25 -0.859056\n0.50 -0.120195\n0.75 0.518184\nName: 4059, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19499012556220788, std values: 0.8227448546606503, min values: -2.004028400410316, max values: 5.0, median values: 0.2195186977692889, and quantile values: 0.25 -0.385528\n0.50 0.219519\n0.75 0.766765\nName: 4060, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1296324023656448, std values: 0.8498764692544434, min values: -1.97455164827324, max values: 5.0, median values: -0.2232851842565025, and quantile values: 0.25 -0.756486\n0.50 -0.223285\n0.75 0.385143\nName: 4061, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2626549462812619, std values: 0.7988804275164172, min values: -2.475778245535816, max values: 4.0, median values: 0.2146307048273751, and quantile values: 0.25 -0.275879\n0.50 0.214631\n0.75 0.811246\nName: 4062, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.462286347378543, std values: 1.049257291651547, min values: -2.3333312203517527, max values: 3.598076523509904, median values: 0.3478246524960322, and quantile values: 0.25 -0.239380\n0.50 0.347825\n0.75 1.153263\nName: 4063, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2065342528759399, std values: 0.9112017962010922, min values: -2.006908622861856, max values: 4.0, median values: -0.2426972379844242, and quantile values: 0.25 -0.963554\n0.50 -0.242697\n0.75 0.478339\nName: 4064, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36199250831247004, std values: 0.7736726281991422, min values: -1.967443887800321, max values: 6.0, median values: 0.402134360824749, and quantile values: 0.25 -0.114594\n0.50 0.402134\n0.75 0.845985\nName: 4065, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28206824425874727, std values: 0.8184403111579333, min values: -2.1976806093842884, max values: 4.0, median values: 0.2433582969215064, and quantile values: 0.25 -0.218115\n0.50 0.243358\n0.75 0.771199\nName: 4066, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6577041909325492, std values: 0.9375378594297985, min values: -2.9472833478224456, max values: 6.0, median values: -0.7638375172305438, and quantile values: 0.25 -1.298541\n0.50 -0.763838\n0.75 -0.065370\nName: 4067, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3953328759858344, std values: 0.9119804570891111, min values: -2.148081053432388, max values: 5.0, median values: 0.4721212864090307, and quantile values: 0.25 -0.188151\n0.50 0.472121\n0.75 1.025376\nName: 4068, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31989472911170014, std values: 1.3374576123226145, min values: -2.8563982925340614, max values: 5.0, median values: -0.0744701957626548, and quantile values: 0.25 -1.683680\n0.50 -0.074470\n0.75 0.577562\nName: 4069, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07128205835747276, std values: 0.7831350553891848, min values: -2.212004168819108, max values: 3.0, median values: -0.056421849154107, and quantile values: 0.25 -0.566206\n0.50 -0.056422\n0.75 0.427074\nName: 4070, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29875897234847454, std values: 0.7937649818665979, min values: -1.9185378486756348, max values: 6.0, median values: 0.3935795898211262, and quantile values: 0.25 -0.240852\n0.50 0.393580\n0.75 0.845217\nName: 4071, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27165158193386835, std values: 0.8106204705336794, min values: -2.373916560234985, max values: 6.0, median values: 0.2336877191015768, and quantile values: 0.25 -0.289034\n0.50 0.233688\n0.75 0.790482\nName: 4072, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.141660698778461, std values: 1.2043226234949915, min values: -2.727901130262228, max values: 4.0, median values: -1.6924813923394355, and quantile values: 0.25 -2.140406\n0.50 -1.692481\n0.75 -0.147705\nName: 4073, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02651554384389122, std values: 0.9394780452486139, min values: -2.0019812311634992, max values: 6.0, median values: -0.1031819665589417, and quantile values: 0.25 -0.681733\n0.50 -0.103182\n0.75 0.640848\nName: 4074, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43271380871370113, std values: 1.132391154997256, min values: -2.6800544037614658, max values: 4.0, median values: -0.4107838661518126, and quantile values: 0.25 -1.322188\n0.50 -0.410784\n0.75 0.417800\nName: 4075, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2502608341826083, std values: 1.2668527436924475, min values: -3.21990804472754, max values: 5.0, median values: 0.3530172534301338, and quantile values: 0.25 -0.604011\n0.50 0.353017\n0.75 1.291326\nName: 4076, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40657668761661064, std values: 0.7287295456271896, min values: -2.476285024008804, max values: 3.090297571450676, median values: -0.5271522876856587, and quantile values: 0.25 -0.937488\n0.50 -0.527152\n0.75 0.063272\nName: 4077, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1113070581773016, std values: 0.884974697165253, min values: -2.215291168881953, max values: 3.784832159836258, median values: -0.1307148570960057, and quantile values: 0.25 -0.741657\n0.50 -0.130715\n0.75 0.444395\nName: 4078, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5481405709593492, std values: 0.9490639148686724, min values: -2.769191083399913, max values: 3.390469008396469, median values: 0.7266775891386862, and quantile values: 0.25 0.058055\n0.50 0.726678\n0.75 1.201339\nName: 4079, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4241046073970214, std values: 0.8936161220081473, min values: -2.475778245535816, max values: 4.0, median values: 0.350166136688591, and quantile values: 0.25 -0.170716\n0.50 0.350166\n0.75 0.949773\nName: 4080, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2565632934000428, std values: 0.8758795419032706, min values: -2.2276120832807416, max values: 6.0, median values: 0.3215437352181352, and quantile values: 0.25 -0.350905\n0.50 0.321544\n0.75 0.902486\nName: 4081, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18931286978725664, std values: 0.7902902930996091, min values: -2.070696498607387, max values: 3.455472209455805, median values: 0.1635105618350862, and quantile values: 0.25 -0.333264\n0.50 0.163511\n0.75 0.692717\nName: 4082, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.032043070748178706, std values: 0.8033823675660217, min values: -2.4125199145038643, max values: 4.0, median values: 0.0462692291208064, and quantile values: 0.25 -0.512381\n0.50 0.046269\n0.75 0.536709\nName: 4083, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12029101775859592, std values: 0.9281717197794176, min values: -2.1227739687253626, max values: 3.0362913622068968, median values: 0.192525931953127, and quantile values: 0.25 -0.537582\n0.50 0.192526\n0.75 0.779659\nName: 4084, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12630871513669611, std values: 0.7459615704050605, min values: -2.506827530467421, max values: 4.0, median values: -0.1830981571466161, and quantile values: 0.25 -0.614821\n0.50 -0.183098\n0.75 0.311753\nName: 4085, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19025403614888356, std values: 0.9577648771656392, min values: -2.317050356949399, max values: 3.0, median values: 0.2256575080652096, and quantile values: 0.25 -0.556881\n0.50 0.225658\n0.75 0.983330\nName: 4086, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21126891566397854, std values: 0.8654469982199116, min values: -2.688157591415518, max values: 5.0, median values: 0.2759199956505683, and quantile values: 0.25 -0.382809\n0.50 0.275920\n0.75 0.776259\nName: 4087, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24616812764287374, std values: 0.9920683906055022, min values: -2.673549169958716, max values: 6.0, median values: 0.3300032650338441, and quantile values: 0.25 -0.374369\n0.50 0.330003\n0.75 0.963778\nName: 4088, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39379744184550186, std values: 0.9643165854540167, min values: -2.607565022042742, max values: 4.0, median values: -0.4958877177552242, and quantile values: 0.25 -1.064064\n0.50 -0.495888\n0.75 0.208419\nName: 4089, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09922897896046916, std values: 0.7564206970344161, min values: -2.5774281843044924, max values: 6.0, median values: 0.1068418061593305, and quantile values: 0.25 -0.374126\n0.50 0.106842\n0.75 0.552063\nName: 4090, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12936686239456793, std values: 0.8439187305684679, min values: -2.264034258932616, max values: 3.9905524164385566, median values: 0.0378242242194406, and quantile values: 0.25 -0.443818\n0.50 0.037824\n0.75 0.665659\nName: 4091, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3038089197036809, std values: 0.9488679058801689, min values: -2.1705561968333407, max values: 3.630507857092792, median values: -0.3332136504835612, and quantile values: 0.25 -1.109986\n0.50 -0.333214\n0.75 0.371846\nName: 4092, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44408521633276715, std values: 0.9880498372644048, min values: -2.482931728382393, max values: 3.096891534584617, median values: -0.5585656852265892, and quantile values: 0.25 -1.265626\n0.50 -0.558566\n0.75 0.232903\nName: 4093, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3724093880458196, std values: 0.9770937185591002, min values: -2.056906079470324, max values: 3.3483277116524426, median values: -0.4326903044147266, and quantile values: 0.25 -1.206056\n0.50 -0.432690\n0.75 0.296738\nName: 4094, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20550469928387924, std values: 0.8057860218075894, min values: -2.8451834694312192, max values: 3.3636961113187773, median values: -0.2891486969801276, and quantile values: 0.25 -0.799396\n0.50 -0.289149\n0.75 0.323380\nName: 4095, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24008788233030012, std values: 0.9652240813708035, min values: -2.224736581088655, max values: 4.0, median values: -0.2705902202641393, and quantile values: 0.25 -1.006139\n0.50 -0.270590\n0.75 0.431782\nName: 4096, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.014392696410407954, std values: 0.7924210046179018, min values: -2.062772413318988, max values: 5.0, median values: -0.031703059236439, and quantile values: 0.25 -0.542147\n0.50 -0.031703\n0.75 0.476022\nName: 4097, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07350584117548441, std values: 0.7245352412216701, min values: -2.1502995050841665, max values: 3.0, median values: 0.0614513223035008, and quantile values: 0.25 -0.407694\n0.50 0.061451\n0.75 0.488194\nName: 4098, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.045351823691574124, std values: 0.8036562539450871, min values: -2.1355258137915776, max values: 3.784832159836258, median values: 0.0016307815309678, and quantile values: 0.25 -0.469428\n0.50 0.001631\n0.75 0.542403\nName: 4099, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.014904653013138515, std values: 0.9874977126858233, min values: -2.6115251494731915, max values: 3.281452258958016, median values: 0.0336042854561923, and quantile values: 0.25 -0.501782\n0.50 0.033604\n0.75 0.586409\nName: 4100, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2316303348555017, std values: 0.7975660523333578, min values: -2.45229857681487, max values: 3.141939528112806, median values: 0.2805448156685474, and quantile values: 0.25 -0.298494\n0.50 0.280545\n0.75 0.780428\nName: 4101, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.054261640623091745, std values: 0.8882698107318697, min values: -2.001572802478312, max values: 6.0, median values: -0.0074922080086378, and quantile values: 0.25 -0.598238\n0.50 -0.007492\n0.75 0.665541\nName: 4102, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33769658687125986, std values: 0.799312721703508, min values: -2.27710446206836, max values: 3.2071942083719924, median values: -0.4399688827998573, and quantile values: 0.25 -0.937000\n0.50 -0.439969\n0.75 0.175485\nName: 4103, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4727374592231524, std values: 0.7837524082833458, min values: -2.1073045553985543, max values: 3.379902545505621, median values: 0.4855747081613648, and quantile values: 0.25 -0.036139\n0.50 0.485575\n0.75 0.960847\nName: 4104, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3254450375738773, std values: 1.2273358984524423, min values: -2.7211321814067784, max values: 3.1175233493066874, median values: -0.0871067195710657, and quantile values: 0.25 -1.309923\n0.50 -0.087107\n0.75 0.620836\nName: 4105, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20462148146870354, std values: 0.8454716365074288, min values: -2.36272721376106, max values: 6.0, median values: 0.1209483818263187, and quantile values: 0.25 -0.342096\n0.50 0.120948\n0.75 0.723266\nName: 4106, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.582156670310696, std values: 0.9536424283200149, min values: -2.372995607737588, max values: 5.0, median values: 0.7139335836394599, and quantile values: 0.25 -0.094075\n0.50 0.713934\n0.75 1.320151\nName: 4107, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09249820256934145, std values: 0.7647457980857503, min values: -2.2423374092797945, max values: 3.9905524164385566, median values: -0.0260551378631307, and quantile values: 0.25 -0.632254\n0.50 -0.026055\n0.75 0.417892\nName: 4108, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.008154499389606697, std values: 0.8391495190811482, min values: -2.556631690482005, max values: 3.041094191308108, median values: -0.0685938152667151, and quantile values: 0.25 -0.608082\n0.50 -0.068594\n0.75 0.545574\nName: 4109, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.238501255058269, std values: 0.7755872249371816, min values: -1.910618582292084, max values: 3.0, median values: 0.2745916639667798, and quantile values: 0.25 -0.232733\n0.50 0.274592\n0.75 0.722867\nName: 4110, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.156062800082309, std values: 0.8388276835316452, min values: -2.2477784840641744, max values: 4.0, median values: -0.1846365514303244, and quantile values: 0.25 -0.729673\n0.50 -0.184637\n0.75 0.342948\nName: 4111, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2102589313654522, std values: 0.9017109134138659, min values: -2.769191083399913, max values: 3.721862465295849, median values: 0.2565992333993661, and quantile values: 0.25 -0.264710\n0.50 0.256599\n0.75 0.763996\nName: 4112, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.46999778964344363, std values: 1.022213412999209, min values: -1.949180847976652, max values: 2.921039391187937, median values: 0.4232155648433401, and quantile values: 0.25 -0.322539\n0.50 0.423216\n0.75 1.330503\nName: 4113, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4221542827170864, std values: 0.7499881092453111, min values: -1.887590992406181, max values: 3.216771431244405, median values: 0.5018990150752995, and quantile values: 0.25 -0.086277\n0.50 0.501899\n0.75 0.954704\nName: 4114, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23318630101748186, std values: 1.1380135939133607, min values: -2.56026492390943, max values: 4.0, median values: 0.3729349561055547, and quantile values: 0.25 -0.559229\n0.50 0.372935\n0.75 1.004998\nName: 4115, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2970028467486701, std values: 0.7422552130984185, min values: -1.8828401146903069, max values: 3.362228250221886, median values: 0.3561128954407483, and quantile values: 0.25 -0.190265\n0.50 0.356113\n0.75 0.761528\nName: 4116, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05747802230931054, std values: 0.7948941577932664, min values: -1.9684966728838769, max values: 5.0, median values: -0.1188635849047341, and quantile values: 0.25 -0.590400\n0.50 -0.118864\n0.75 0.399240\nName: 4117, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08667434442964758, std values: 0.857453276015796, min values: -2.121861109115061, max values: 3.0838352979250487, median values: -0.1841443160303297, and quantile values: 0.25 -0.755836\n0.50 -0.184144\n0.75 0.511928\nName: 4118, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26479598368756463, std values: 0.9209439193498129, min values: -2.576018450691392, max values: 4.0, median values: -0.161939609758067, and quantile values: 0.25 -0.785298\n0.50 -0.161940\n0.75 0.303873\nName: 4119, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4468286659768731, std values: 0.9114469701262821, min values: -2.1124050188802093, max values: 3.721862465295849, median values: -0.529146219292194, and quantile values: 0.25 -1.150911\n0.50 -0.529146\n0.75 0.161529\nName: 4120, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.016730752350775237, std values: 0.8285855669592032, min values: -2.042613396104449, max values: 3.397048482165858, median values: -0.0867765118531416, and quantile values: 0.25 -0.597974\n0.50 -0.086777\n0.75 0.524683\nName: 4121, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07282816770559081, std values: 0.7858082251382958, min values: -2.050447226825624, max values: 2.873899048542533, median values: -0.1311592795299241, and quantile values: 0.25 -0.632889\n0.50 -0.131159\n0.75 0.416010\nName: 4122, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.015974710099752962, std values: 0.9032160403157592, min values: -2.622709665346679, max values: 3.455472209455805, median values: 0.1072696721022254, and quantile values: 0.25 -0.564163\n0.50 0.107270\n0.75 0.603714\nName: 4123, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5837474596347876, std values: 0.8789800980949024, min values: -2.0098470640670394, max values: 6.0, median values: 0.6575694397219519, and quantile values: 0.25 -0.035395\n0.50 0.657569\n0.75 1.240659\nName: 4124, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20190246077406182, std values: 0.8286097101323161, min values: -2.5689076212724418, max values: 5.0, median values: 0.1309926180861111, and quantile values: 0.25 -0.355940\n0.50 0.130993\n0.75 0.686092\nName: 4125, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3294470389551918, std values: 0.8349507135720908, min values: -2.088894678224596, max values: 5.0, median values: -0.3992994132209905, and quantile values: 0.25 -0.975276\n0.50 -0.399299\n0.75 0.226133\nName: 4126, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20944054475018034, std values: 0.8379492994575454, min values: -2.148634675597145, max values: 2.740717415481173, median values: -0.3148895338470937, and quantile values: 0.25 -0.846670\n0.50 -0.314890\n0.75 0.364056\nName: 4127, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15570503398129293, std values: 0.7377877297023511, min values: -1.9587474123989488, max values: 5.0, median values: 0.1918777386049342, and quantile values: 0.25 -0.361403\n0.50 0.191878\n0.75 0.656346\nName: 4128, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23175788377465126, std values: 1.009538476249221, min values: -2.739804196611005, max values: 6.0, median values: 0.2422872639794946, and quantile values: 0.25 -0.504314\n0.50 0.242287\n0.75 1.026084\nName: 4129, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.015002181513012535, std values: 0.7804725884333429, min values: -2.5689076212724418, max values: 5.0, median values: -0.1042873308895103, and quantile values: 0.25 -0.553022\n0.50 -0.104287\n0.75 0.486318\nName: 4130, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08292753568148324, std values: 0.9465436415281554, min values: -2.93129584560762, max values: 6.0, median values: 0.1654645700292087, and quantile values: 0.25 -0.457719\n0.50 0.165465\n0.75 0.731117\nName: 4131, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1436459582517731, std values: 0.7504977313066536, min values: -2.425352746782124, max values: 5.0, median values: -0.1562668780295393, and quantile values: 0.25 -0.662006\n0.50 -0.156267\n0.75 0.311306\nName: 4132, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06556175062009612, std values: 0.7513493043536965, min values: -2.6635706018350787, max values: 3.141939528112806, median values: -0.131025477718528, and quantile values: 0.25 -0.552471\n0.50 -0.131025\n0.75 0.383126\nName: 4133, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09809191008742113, std values: 0.9141864788460097, min values: -2.6710294992370565, max values: 2.9312958456076146, median values: 0.1591145716875874, and quantile values: 0.25 -0.485267\n0.50 0.159115\n0.75 0.691459\nName: 4134, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47373486523943076, std values: 1.151834782373887, min values: -2.6404955031131814, max values: 5.0, median values: 0.4136268039009791, and quantile values: 0.25 -0.255708\n0.50 0.413627\n0.75 1.210312\nName: 4135, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3060626448206924, std values: 1.042506393791585, min values: -2.5743883495350026, max values: 5.0, median values: 0.3714911611366652, and quantile values: 0.25 -0.261341\n0.50 0.371491\n0.75 0.944775\nName: 4136, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4734006357393515, std values: 1.0669002583497582, min values: -2.169311742921253, max values: 6.0, median values: 0.4120442338877451, and quantile values: 0.25 -0.352685\n0.50 0.412044\n0.75 1.278740\nName: 4137, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0722738469095803, std values: 0.9293870415813468, min values: -2.461308921153724, max values: 3.32433157891547, median values: -0.0154339441388978, and quantile values: 0.25 -0.675770\n0.50 -0.015434\n0.75 0.730896\nName: 4138, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10553227091118761, std values: 0.8826860437498211, min values: -2.916688926075616, max values: 6.0, median values: 0.0817007452259109, and quantile values: 0.25 -0.397421\n0.50 0.081701\n0.75 0.660359\nName: 4139, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08448632042953512, std values: 0.8591863750601652, min values: -2.679056533720636, max values: 5.0, median values: -0.0238788535137154, and quantile values: 0.25 -0.626708\n0.50 -0.023879\n0.75 0.444335\nName: 4140, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02612023320221969, std values: 1.0721320436212403, min values: -2.815821936576896, max values: 3.0046625681201315, median values: 0.17306099836816, and quantile values: 0.25 -0.605202\n0.50 0.173061\n0.75 0.768497\nName: 4141, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.014104372363688594, std values: 0.8033938675727235, min values: -1.9890885222563244, max values: 3.162318759909359, median values: -0.0826845186067653, and quantile values: 0.25 -0.541095\n0.50 -0.082685\n0.75 0.527658\nName: 4142, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3757776377023182, std values: 0.8153488732985288, min values: -2.2012167772695554, max values: 4.243835016543704, median values: 0.4187921382209368, and quantile values: 0.25 -0.173157\n0.50 0.418792\n0.75 0.969578\nName: 4143, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3940748323750764, std values: 0.8690716393363742, min values: -2.8563982925340614, max values: 4.0, median values: -0.441453440562202, and quantile values: 0.25 -1.093336\n0.50 -0.441453\n0.75 0.202551\nName: 4144, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1350439977999201, std values: 0.8704486335445722, min values: -2.5743883495350026, max values: 5.0, median values: -0.1332706414336725, and quantile values: 0.25 -0.815766\n0.50 -0.133271\n0.75 0.515699\nName: 4145, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.034792952281631824, std values: 0.9626922575003863, min values: -2.634919142586459, max values: 6.0, median values: 0.0874882436325623, and quantile values: 0.25 -0.460932\n0.50 0.087488\n0.75 0.651026\nName: 4146, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3412448897070557, std values: 0.7942367500566901, min values: -2.5631960397140583, max values: 4.0, median values: 0.3878494618963596, and quantile values: 0.25 -0.190434\n0.50 0.387849\n0.75 0.910336\nName: 4147, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.456030316211375, std values: 1.0346960946091475, min values: -2.657870006553045, max values: 3.096891534584617, median values: 0.5554978739686944, and quantile values: 0.25 -0.223059\n0.50 0.555498\n0.75 1.251757\nName: 4148, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03530079975359397, std values: 0.8818591642040663, min values: -2.579952672199424, max values: 6.0, median values: 0.0042069542043125, and quantile values: 0.25 -0.583057\n0.50 0.004207\n0.75 0.633156\nName: 4149, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29972573190853796, std values: 0.8533193854591968, min values: -2.087432639025188, max values: 4.0, median values: -0.3214690708356967, and quantile values: 0.25 -0.939691\n0.50 -0.321469\n0.75 0.211198\nName: 4150, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.166194850838767, std values: 0.700738513811416, min values: -2.8843374390620142, max values: 6.0, median values: 0.2038563643612134, and quantile values: 0.25 -0.268306\n0.50 0.203856\n0.75 0.609698\nName: 4151, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5771910362542632, std values: 1.196051173511561, min values: -2.6072570508709387, max values: 4.0, median values: 0.6017984847271487, and quantile values: 0.25 -0.268134\n0.50 0.601798\n0.75 1.571491\nName: 4152, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1228611933067486, std values: 0.7370257021552843, min values: -1.9737737479669355, max values: 5.0, median values: 0.1397751877721669, and quantile values: 0.25 -0.348761\n0.50 0.139775\n0.75 0.579295\nName: 4153, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11980656531239049, std values: 0.80459172789107, min values: -2.131236602105937, max values: 3.162318759909359, median values: 0.0421764569209492, and quantile values: 0.25 -0.453259\n0.50 0.042176\n0.75 0.637436\nName: 4154, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09839078932648741, std values: 0.8920582420494005, min values: -3.3690402064071137, max values: 2.940767124716234, median values: -0.160646636691825, and quantile values: 0.25 -0.710117\n0.50 -0.160647\n0.75 0.509850\nName: 4155, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1678831079682881, std values: 0.7086577184829004, min values: -2.1786013895059995, max values: 3.4758930087721422, median values: 0.1781013474890274, and quantile values: 0.25 -0.299041\n0.50 0.178101\n0.75 0.601096\nName: 4156, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04998572940289157, std values: 0.8267655218826068, min values: -1.9681686702565264, max values: 3.247416277295021, median values: -0.185208808564939, and quantile values: 0.25 -0.662061\n0.50 -0.185209\n0.75 0.504582\nName: 4157, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3342857326003095, std values: 0.9333536502910551, min values: -2.37161794153528, max values: 5.0, median values: 0.3894807433558471, and quantile values: 0.25 -0.344491\n0.50 0.389481\n0.75 1.067661\nName: 4158, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32077066866095216, std values: 0.8427943258579673, min values: -2.4960309093026924, max values: 3.319774799707247, median values: -0.4376528251488127, and quantile values: 0.25 -0.983254\n0.50 -0.437653\n0.75 0.191781\nName: 4159, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.030483159576842868, std values: 1.0151509972404498, min values: -1.9839237799337628, max values: 5.0, median values: -0.1466475251708254, and quantile values: 0.25 -0.739385\n0.50 -0.146648\n0.75 0.715887\nName: 4160, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.010228760021430406, std values: 0.8126188623135095, min values: -2.6023368942328267, max values: 3.867701659180865, median values: -0.0594995011973647, and quantile values: 0.25 -0.532158\n0.50 -0.059500\n0.75 0.517617\nName: 4161, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07899195021057606, std values: 1.184207198708786, min values: -2.5293911731823453, max values: 3.5581019918925243, median values: 0.1474548470371818, and quantile values: 0.25 -0.668789\n0.50 0.147455\n0.75 0.727447\nName: 4162, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2795337390188145, std values: 0.8341432492874634, min values: -2.783691185534105, max values: 3.110498035652072, median values: -0.2954142700900274, and quantile values: 0.25 -0.897029\n0.50 -0.295414\n0.75 0.269790\nName: 4163, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06712117402900555, std values: 0.8935174021042137, min values: -2.5122218748354936, max values: 3.2266531185902125, median values: 0.0634104280435359, and quantile values: 0.25 -0.443788\n0.50 0.063410\n0.75 0.571151\nName: 4164, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5300122518452999, std values: 0.8868999479066051, min values: -2.1073045553985543, max values: 6.0, median values: 0.6510701168791383, and quantile values: 0.25 -0.087749\n0.50 0.651070\n0.75 1.149262\nName: 4165, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6561576676336437, std values: 0.9140748472859715, min values: -3.1386665508340674, max values: 4.243835016543704, median values: -0.8115085642966916, and quantile values: 0.25 -1.360000\n0.50 -0.811509\n0.75 -0.091973\nName: 4166, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3601817011622375, std values: 0.745960299740745, min values: -2.419133598913117, max values: 3.0, median values: -0.3835213640922287, and quantile values: 0.25 -0.863845\n0.50 -0.383521\n0.75 0.091617\nName: 4167, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.005326394516253064, std values: 0.9054959366756692, min values: -2.891990595045606, max values: 6.0, median values: 0.0786506728765692, and quantile values: 0.25 -0.542881\n0.50 0.078651\n0.75 0.583493\nName: 4168, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16914305677131233, std values: 0.7917719207279886, min values: -2.564449278715455, max values: 3.0, median values: -0.1891604807781783, and quantile values: 0.25 -0.745579\n0.50 -0.189160\n0.75 0.362461\nName: 4169, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6248619196753191, std values: 0.9141825963375987, min values: -2.607565022042742, max values: 4.0, median values: -0.7655461686215754, and quantile values: 0.25 -1.264482\n0.50 -0.765546\n0.75 -0.052232\nName: 4170, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38948501067744806, std values: 0.9289777089179563, min values: -2.1232100101643527, max values: 6.0, median values: 0.4055436005577119, and quantile values: 0.25 -0.305705\n0.50 0.405544\n0.75 1.142513\nName: 4171, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3405049866343706, std values: 0.8457845260752791, min values: -2.2204268746472464, max values: 5.0, median values: -0.4223318454285802, and quantile values: 0.25 -0.997452\n0.50 -0.422332\n0.75 0.202270\nName: 4172, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22366951381432118, std values: 0.8155102342838616, min values: -2.783691185534105, max values: 3.1888787873512885, median values: -0.2691990651223218, and quantile values: 0.25 -0.818342\n0.50 -0.269199\n0.75 0.285459\nName: 4173, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33529413233431266, std values: 0.8950304938101157, min values: -2.245752867605861, max values: 3.784832159836258, median values: -0.4601071838143215, and quantile values: 0.25 -1.030421\n0.50 -0.460107\n0.75 0.268020\nName: 4174, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04250667650493696, std values: 1.078418438988372, min values: -2.643887016977268, max values: 6.0, median values: 0.0152684831123445, and quantile values: 0.25 -0.595810\n0.50 0.015268\n0.75 0.804956\nName: 4175, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5314641728890519, std values: 0.955121204203188, min values: -2.63315074164461, max values: 6.0, median values: -0.6419302386774317, and quantile values: 0.25 -1.240047\n0.50 -0.641930\n0.75 0.094905\nName: 4176, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18634691738967793, std values: 0.8982689124247205, min values: -2.3808324358856225, max values: 3.197902420311553, median values: -0.2893497075012727, and quantile values: 0.25 -0.878253\n0.50 -0.289350\n0.75 0.410527\nName: 4177, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5491375508518351, std values: 1.0260941774048684, min values: -2.5293911731823453, max values: 3.9905524164385566, median values: 0.7386711077134278, and quantile values: 0.25 0.023300\n0.50 0.738671\n0.75 1.265503\nName: 4178, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6599325948432456, std values: 1.0121187720087117, min values: -2.620939317041317, max values: 3.349054967837474, median values: 0.6150208062245726, and quantile values: 0.25 -0.106461\n0.50 0.615021\n0.75 1.541826\nName: 4179, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13333835589808574, std values: 0.7797914516017013, min values: -2.179853905073574, max values: 6.0, median values: -0.1689599651428398, and quantile values: 0.25 -0.648297\n0.50 -0.168960\n0.75 0.300481\nName: 4180, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.006217388413696467, std values: 0.8204461362073435, min values: -2.3922473154067863, max values: 5.0, median values: -0.0738303074108806, and quantile values: 0.25 -0.58832\n0.50 -0.07383\n0.75 0.55014\nName: 4181, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6700785229113005, std values: 0.9601671951415233, min values: -2.7428415536925543, max values: 5.0, median values: -0.7798745277299979, and quantile values: 0.25 -1.337986\n0.50 -0.779875\n0.75 -0.063336\nName: 4182, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21433266176611163, std values: 0.8455422835062476, min values: -2.1355258137915776, max values: 3.9048392686725855, median values: -0.2361789904702987, and quantile values: 0.25 -0.825523\n0.50 -0.236179\n0.75 0.341921\nName: 4183, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49480338123490897, std values: 0.790192882710696, min values: -2.5445249319512966, max values: 3.477886732511886, median values: 0.5606144094826415, and quantile values: 0.25 0.019854\n0.50 0.560614\n0.75 1.022171\nName: 4184, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21199839400063392, std values: 0.7567795066349388, min values: -2.011274058715068, max values: 5.0, median values: -0.1969604438230532, and quantile values: 0.25 -0.748455\n0.50 -0.196960\n0.75 0.250192\nName: 4185, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3494557567286675, std values: 0.7989440539888429, min values: -2.45229857681487, max values: 3.455472209455805, median values: 0.3477368840044935, and quantile values: 0.25 -0.167140\n0.50 0.347737\n0.75 0.890124\nName: 4186, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17104860821945683, std values: 1.0462787583880462, min values: -3.045947208515832, max values: 6.0, median values: 0.3250345658837139, and quantile values: 0.25 -0.425409\n0.50 0.325035\n0.75 0.895122\nName: 4187, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.013815838207420847, std values: 0.8001205891619556, min values: -2.5832619696830608, max values: 6.0, median values: -0.051782697574671, and quantile values: 0.25 -0.579518\n0.50 -0.051783\n0.75 0.533218\nName: 4188, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12974174896048288, std values: 0.9226110934221501, min values: -2.4657737907743, max values: 3.4217036547572275, median values: 0.026213667291128, and quantile values: 0.25 -0.553346\n0.50 0.026214\n0.75 0.805250\nName: 4189, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47942494364676824, std values: 1.1028827883087997, min values: -2.2398683045325223, max values: 3.8226908388056136, median values: 0.4513062484882833, and quantile values: 0.25 -0.365395\n0.50 0.451306\n0.75 1.285689\nName: 4190, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14775694128482456, std values: 0.8888933979596596, min values: -2.5832619696830608, max values: 6.0, median values: -0.2417613838126572, and quantile values: 0.25 -0.789304\n0.50 -0.241761\n0.75 0.414317\nName: 4191, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05431609912120077, std values: 0.9259365954398237, min values: -2.174309863242296, max values: 2.752689713888798, median values: 0.0512620478823753, and quantile values: 0.25 -0.681768\n0.50 0.051262\n0.75 0.751211\nName: 4192, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23732147745282484, std values: 0.7919335434418816, min values: -2.1355258137915776, max values: 6.0, median values: -0.2892635587039567, and quantile values: 0.25 -0.783797\n0.50 -0.289264\n0.75 0.241265\nName: 4193, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4135797062521728, std values: 0.8983660584644285, min values: -1.9529860453568333, max values: 6.0, median values: 0.4375227792893645, and quantile values: 0.25 -0.187142\n0.50 0.437523\n0.75 1.030327\nName: 4194, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2683557060758796, std values: 0.8818221474566449, min values: -2.179853905073574, max values: 6.0, median values: -0.2848441205513985, and quantile values: 0.25 -0.969398\n0.50 -0.284844\n0.75 0.420911\nName: 4195, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46546213672160563, std values: 0.8353089978118975, min values: -2.1317706126061804, max values: 3.163266084685921, median values: -0.5255700193534808, and quantile values: 0.25 -1.077406\n0.50 -0.525570\n0.75 0.031620\nName: 4196, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30594917893025747, std values: 0.8075545624165097, min values: -2.476285024008804, max values: 3.670892362631932, median values: 0.3874163263674105, and quantile values: 0.25 -0.234027\n0.50 0.387416\n0.75 0.883575\nName: 4197, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43229650546824094, std values: 0.8980595411326625, min values: -2.4960309093026924, max values: 3.0, median values: 0.4676344668184188, and quantile values: 0.25 -0.230621\n0.50 0.467634\n0.75 1.151690\nName: 4198, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23085857128976894, std values: 0.7768205587165692, min values: -2.0441770656208704, max values: 4.278004674434932, median values: -0.1772021671092216, and quantile values: 0.25 -0.767911\n0.50 -0.177202\n0.75 0.283181\nName: 4199, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2828272956123826, std values: 0.8406165781755469, min values: -2.58513369695146, max values: 4.0, median values: -0.3365133173728341, and quantile values: 0.25 -0.784922\n0.50 -0.336513\n0.75 0.213349\nName: 4200, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1622445132720968, std values: 0.9599174089381496, min values: -2.27710446206836, max values: 3.477886732511886, median values: -0.2302363052038083, and quantile values: 0.25 -0.929635\n0.50 -0.230236\n0.75 0.517650\nName: 4201, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.008674943681318084, std values: 0.8024145040042987, min values: -2.579952672199424, max values: 6.0, median values: -0.0645196638485083, and quantile values: 0.25 -0.518428\n0.50 -0.064520\n0.75 0.484098\nName: 4202, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.007773942758141742, std values: 0.820591684321227, min values: -2.0073596275557293, max values: 3.528773265847577, median values: -0.1155457034989772, and quantile values: 0.25 -0.571653\n0.50 -0.115546\n0.75 0.485203\nName: 4203, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22097298884459013, std values: 0.8117516367122859, min values: -2.5046447434119337, max values: 4.0, median values: 0.2972952426625763, and quantile values: 0.25 -0.307736\n0.50 0.297295\n0.75 0.754115\nName: 4204, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.015583238018244136, std values: 0.9048343964971032, min values: -2.745904427753044, max values: 5.0, median values: 0.0442149997077217, and quantile values: 0.25 -0.684299\n0.50 0.044215\n0.75 0.629661\nName: 4205, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39879626620765374, std values: 1.2244075548541538, min values: -2.6603025395856053, max values: 5.0, median values: 0.4446993697695896, and quantile values: 0.25 -0.547834\n0.50 0.444699\n0.75 1.421716\nName: 4206, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.008506772427625063, std values: 1.0132653699894434, min values: -2.321103531050575, max values: 4.0, median values: -0.1652451098554574, and quantile values: 0.25 -0.739375\n0.50 -0.165245\n0.75 0.658191\nName: 4207, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27340044556462145, std values: 0.8002926216404247, min values: -1.95930647282486, max values: 3.627976272701048, median values: 0.2096995145364407, and quantile values: 0.25 -0.273391\n0.50 0.209700\n0.75 0.820114\nName: 4208, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06564690332304277, std values: 1.075484148255339, min values: -2.8164291268114208, max values: 3.2701555622463814, median values: 0.0548306944817506, and quantile values: 0.25 -0.654570\n0.50 0.054831\n0.75 0.647524\nName: 4209, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0063594796601511416, std values: 0.8841401901736907, min values: -2.4823451998031074, max values: 3.784832159836258, median values: 0.0671913689405922, and quantile values: 0.25 -0.491605\n0.50 0.067191\n0.75 0.525349\nName: 4210, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2850750266665568, std values: 0.8307193912080392, min values: -2.01342226034284, max values: 3.0, median values: 0.3475906091373869, and quantile values: 0.25 -0.306970\n0.50 0.347591\n0.75 0.868453\nName: 4211, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.2007256340648664, std values: 1.661431415847699, min values: -2.944950884974346, max values: 3.8226908388056136, median values: -1.9940685612824285, and quantile values: 0.25 -2.358510\n0.50 -1.994069\n0.75 -0.260509\nName: 4212, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3911480552389155, std values: 1.1683243005193422, min values: -3.1386665508340674, max values: 3.5908526919299577, median values: 0.5284811049658279, and quantile values: 0.25 -0.281645\n0.50 0.528481\n0.75 1.295965\nName: 4213, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24466063909746308, std values: 0.773599486605111, min values: -2.3771558481240653, max values: 4.0, median values: 0.2512292902835499, and quantile values: 0.25 -0.243690\n0.50 0.251229\n0.75 0.732723\nName: 4214, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12330077251033585, std values: 1.2420283441612971, min values: -2.6466193392086392, max values: 4.0, median values: 0.1137065171982219, and quantile values: 0.25 -0.704936\n0.50 0.113707\n0.75 1.119438\nName: 4215, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.306633005544435, std values: 0.8241824695073319, min values: -2.279638670509252, max values: 6.0, median values: 0.3687032388957793, and quantile values: 0.25 -0.238565\n0.50 0.368703\n0.75 0.859696\nName: 4216, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06968424639254647, std values: 0.7482868033959469, min values: -1.9861919686919625, max values: 6.0, median values: 0.100093568958121, and quantile values: 0.25 -0.406916\n0.50 0.100094\n0.75 0.552769\nName: 4217, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.122119329142674, std values: 0.9445193805655671, min values: -2.6603025395856053, max values: 5.0, median values: -0.1780052989621216, and quantile values: 0.25 -0.746549\n0.50 -0.178005\n0.75 0.528185\nName: 4218, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3604510921014421, std values: 0.9447462332767176, min values: -2.6660404517971856, max values: 4.0, median values: 0.4537164022942307, and quantile values: 0.25 -0.253108\n0.50 0.453716\n0.75 1.040684\nName: 4219, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18928404094451814, std values: 0.7898114049603715, min values: -2.7314147016889114, max values: 3.627976272701048, median values: -0.2296988073596317, and quantile values: 0.25 -0.707321\n0.50 -0.229699\n0.75 0.258456\nName: 4220, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07401105678085583, std values: 0.9030183198926041, min values: -2.4902145713898545, max values: 3.3636961113187773, median values: 0.0330256388468889, and quantile values: 0.25 -0.512381\n0.50 0.033026\n0.75 0.655576\nName: 4221, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.003897170416005706, std values: 0.7742806798807982, min values: -2.7257183488872623, max values: 5.0, median values: -0.0514277076340791, and quantile values: 0.25 -0.511977\n0.50 -0.051428\n0.75 0.446190\nName: 4222, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2369356950828732, std values: 0.9964633360185315, min values: -2.8547740449753216, max values: 5.0, median values: -0.2297716068619927, and quantile values: 0.25 -0.816649\n0.50 -0.229772\n0.75 0.433521\nName: 4223, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4541242645215671, std values: 1.3245053365894481, min values: -2.608390851963037, max values: 5.0, median values: 0.3833178664249647, and quantile values: 0.25 -0.399299\n0.50 0.383318\n0.75 1.491640\nName: 4224, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8656974294203525, std values: 1.0942393377485637, min values: -2.9472833478224456, max values: 6.0, median values: -1.0315452241672016, and quantile values: 0.25 -1.741554\n0.50 -1.031545\n0.75 -0.066675\nName: 4225, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.46209971394120175, std values: 0.715996451057773, min values: -1.8545792097367075, max values: 2.788483808748111, median values: 0.4921916465396908, and quantile values: 0.25 -0.002742\n0.50 0.492192\n0.75 0.925486\nName: 4226, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8224562740694737, std values: 1.054424043243854, min values: -2.9265160609644223, max values: 6.0, median values: -0.9206398450630728, and quantile values: 0.25 -1.601268\n0.50 -0.920640\n0.75 -0.074011\nName: 4227, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13833168091222328, std values: 1.0590507487583078, min values: -2.5953860446419177, max values: 3.066111439712683, median values: 0.2876558410623595, and quantile values: 0.25 -0.406019\n0.50 0.287656\n0.75 0.790030\nName: 4228, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5779256119285443, std values: 0.931067160115433, min values: -2.6660404517971856, max values: 4.0, median values: -0.4809321655388118, and quantile values: 0.25 -1.147160\n0.50 -0.480932\n0.75 0.017420\nName: 4229, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3781430771596047, std values: 0.9484246541403838, min values: -2.497627580948261, max values: 3.20751086257212, median values: -0.497850638633672, and quantile values: 0.25 -1.027895\n0.50 -0.497851\n0.75 0.244771\nName: 4230, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.033018896134831714, std values: 0.874972906007478, min values: -2.240740315114864, max values: 4.0, median values: -0.1085247697969293, and quantile values: 0.25 -0.614344\n0.50 -0.108525\n0.75 0.547440\nName: 4231, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06466269097848475, std values: 0.9036311176378221, min values: -2.727901130262228, max values: 4.0, median values: 0.1067243169854741, and quantile values: 0.25 -0.389838\n0.50 0.106724\n0.75 0.579686\nName: 4232, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3538864308678638, std values: 0.8117683540970156, min values: -2.057713263041302, max values: 4.0, median values: 0.4470618880165867, and quantile values: 0.25 -0.167726\n0.50 0.447062\n0.75 0.902983\nName: 4233, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14389133206794394, std values: 0.8433841503429691, min values: -2.4823451998031074, max values: 3.0, median values: -0.1200285167975064, and quantile values: 0.25 -0.669175\n0.50 -0.120029\n0.75 0.359565\nName: 4234, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3272020781317016, std values: 0.9612146048534719, min values: -3.784832159836081, max values: 2.768099476935624, median values: 0.4956627386884907, and quantile values: 0.25 -0.298481\n0.50 0.495663\n0.75 1.007496\nName: 4235, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.007477852212436558, std values: 1.0505992759748182, min values: -2.506827530467421, max values: 4.0, median values: -0.0425312926082311, and quantile values: 0.25 -0.857861\n0.50 -0.042531\n0.75 0.738254\nName: 4236, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.021829249541447857, std values: 0.8183582788671596, min values: -2.138226655046297, max values: 3.336438412828754, median values: -0.0649933460724476, and quantile values: 0.25 -0.596493\n0.50 -0.064993\n0.75 0.534635\nName: 4237, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29448689259644373, std values: 0.914945439976277, min values: -2.196708653609315, max values: 6.0, median values: 0.3096847468983554, and quantile values: 0.25 -0.371948\n0.50 0.309685\n0.75 0.962727\nName: 4238, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4194006782115596, std values: 1.0856724860076925, min values: -2.608390851963037, max values: 5.0, median values: -0.4744807691904109, and quantile values: 0.25 -1.177539\n0.50 -0.474481\n0.75 0.346508\nName: 4239, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22867178773971886, std values: 1.1721362324580908, min values: -2.6820581866633817, max values: 3.0, median values: 0.058457772713041, and quantile values: 0.25 -0.909754\n0.50 0.058458\n0.75 0.578708\nName: 4240, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21046037073632842, std values: 0.758128519924733, min values: -2.5399045531878324, max values: 4.0, median values: -0.2244429463942612, and quantile values: 0.25 -0.702590\n0.50 -0.224443\n0.75 0.205835\nName: 4241, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4576468089303885, std values: 0.987396411684238, min values: -2.3184884946917497, max values: 6.0, median values: 0.5662305118897533, and quantile values: 0.25 -0.294727\n0.50 0.566231\n0.75 1.232385\nName: 4242, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02468174650072959, std values: 0.9659850448599571, min values: -2.643887016977268, max values: 6.0, median values: 0.0791873678980262, and quantile values: 0.25 -0.679349\n0.50 0.079187\n0.75 0.676358\nName: 4243, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.738051533169049, std values: 1.1145215284323744, min values: -2.7510671817729784, max values: 6.0, median values: -0.8652845126866507, and quantile values: 0.25 -1.681303\n0.50 -0.865285\n0.75 0.050434\nName: 4244, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45312695609319825, std values: 0.9205597401024693, min values: -2.3333312203517527, max values: 3.627976272701048, median values: 0.4836725135309918, and quantile values: 0.25 -0.127216\n0.50 0.483673\n0.75 1.049614\nName: 4245, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17929107138399183, std values: 0.8529677313453803, min values: -2.3333312203517527, max values: 3.3760121766849016, median values: -0.309471128471059, and quantile values: 0.25 -0.791009\n0.50 -0.309471\n0.75 0.390398\nName: 4246, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02044305776559476, std values: 1.1616596983265428, min values: -2.6652153608723106, max values: 5.0, median values: -0.0118146401557393, and quantile values: 0.25 -0.881538\n0.50 -0.011815\n0.75 0.859696\nName: 4247, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33996452873899247, std values: 1.17234800250709, min values: -2.673124659932621, max values: 6.0, median values: 0.4007754014997829, and quantile values: 0.25 -0.467687\n0.50 0.400775\n0.75 1.208348\nName: 4248, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23602761631708946, std values: 0.8171829378930654, min values: -2.0365598737040225, max values: 3.721862465295849, median values: -0.3384776114482519, and quantile values: 0.25 -0.805171\n0.50 -0.338478\n0.75 0.276067\nName: 4249, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3587472769916093, std values: 1.013572415636454, min values: -2.825926939679757, max values: 3.2071942083719924, median values: -0.3102915372368571, and quantile values: 0.25 -1.046176\n0.50 -0.310292\n0.75 0.273809\nName: 4250, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19966495562138817, std values: 1.4295333414233096, min values: -2.873069976951463, max values: 3.434669824302974, median values: 0.2189618816388783, and quantile values: 0.25 -0.692446\n0.50 0.218962\n0.75 1.216876\nName: 4251, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.47780385484010574, std values: 1.1240790464396102, min values: -2.9622221028070275, max values: 4.0, median values: -0.4168602505449995, and quantile values: 0.25 -1.050024\n0.50 -0.416860\n0.75 0.267107\nName: 4252, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14139519764242328, std values: 0.7832042782399005, min values: -2.475778245535816, max values: 4.0, median values: -0.1934237524261139, and quantile values: 0.25 -0.660930\n0.50 -0.193424\n0.75 0.320101\nName: 4253, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35282075054278716, std values: 0.8705701213138619, min values: -1.967443887800321, max values: 6.0, median values: 0.2911745841977529, and quantile values: 0.25 -0.209471\n0.50 0.291175\n0.75 0.902197\nName: 4254, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.515754401102651, std values: 1.1844960732408398, min values: -2.45229857681487, max values: 4.278004674434932, median values: 0.4559337107441829, and quantile values: 0.25 -0.394432\n0.50 0.455934\n0.75 1.364125\nName: 4255, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2908052895588859, std values: 0.895151955343169, min values: -2.305485881554748, max values: 4.0, median values: 0.3508982437794511, and quantile values: 0.25 -0.316250\n0.50 0.350898\n0.75 0.864975\nName: 4256, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16510972046346473, std values: 0.9786864321041059, min values: -2.6270253558526173, max values: 4.0, median values: -0.1116683357216228, and quantile values: 0.25 -0.772468\n0.50 -0.111668\n0.75 0.392542\nName: 4257, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26635757518638786, std values: 1.004801398101839, min values: -2.3922473154067863, max values: 5.0, median values: 0.2323577486311849, and quantile values: 0.25 -0.503657\n0.50 0.232358\n0.75 1.035370\nName: 4258, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4120771442992695, std values: 0.9443771733854386, min values: -2.62876542141649, max values: 4.026668017837955, median values: 0.3978086249708589, and quantile values: 0.25 -0.216458\n0.50 0.397809\n0.75 1.040636\nName: 4259, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2280590733718007, std values: 0.7848414156860657, min values: -1.9747693435316869, max values: 3.2071942083719924, median values: 0.2632274142517048, and quantile values: 0.25 -0.298951\n0.50 0.263227\n0.75 0.754335\nName: 4260, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.058600793777078775, std values: 0.8228515185971367, min values: -2.4823451998031074, max values: 3.076680642207697, median values: 0.1327658694456854, and quantile values: 0.25 -0.397421\n0.50 0.132766\n0.75 0.554020\nName: 4261, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16068905215024712, std values: 0.7872618373890936, min values: -2.4737574649270093, max values: 3.667275230673496, median values: -0.2179520255126335, and quantile values: 0.25 -0.709549\n0.50 -0.217952\n0.75 0.311159\nName: 4262, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3045994881504384, std values: 0.7378312012563365, min values: -2.147228856409125, max values: 3.3483277116524426, median values: 0.3677306961658869, and quantile values: 0.25 -0.195136\n0.50 0.367731\n0.75 0.811931\nName: 4263, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1740904863469945, std values: 0.7583411662610688, min values: -2.0424002644031765, max values: 5.0, median values: 0.2334860056680401, and quantile values: 0.25 -0.335413\n0.50 0.233486\n0.75 0.661032\nName: 4264, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.235164266496771, std values: 0.8806904551731288, min values: -2.3051489257282016, max values: 5.0, median values: 0.3212450884388115, and quantile values: 0.25 -0.372454\n0.50 0.321245\n0.75 0.865887\nName: 4265, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11381407123617555, std values: 0.9685378232877825, min values: -2.769191083399913, max values: 3.397048482165858, median values: -0.0789269221114202, and quantile values: 0.25 -0.655560\n0.50 -0.078927\n0.75 0.485389\nName: 4266, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02135424802768631, std values: 0.8802106063247732, min values: -2.271143658239337, max values: 6.0, median values: -0.1253540509620334, and quantile values: 0.25 -0.700300\n0.50 -0.125354\n0.75 0.606856\nName: 4267, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13417267276739328, std values: 0.8048944304127253, min values: -2.521882829270847, max values: 4.0, median values: 0.2017641916823877, and quantile values: 0.25 -0.319454\n0.50 0.201764\n0.75 0.633123\nName: 4268, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33589926814187904, std values: 0.7824285001034469, min values: -2.052253597414744, max values: 6.0, median values: -0.4408720251375082, and quantile values: 0.25 -0.862087\n0.50 -0.440872\n0.75 0.102543\nName: 4269, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.00881532345708828, std values: 0.9380370353708509, min values: -2.023268385245388, max values: 5.0, median values: 0.0124756324290013, and quantile values: 0.25 -0.740939\n0.50 0.012476\n0.75 0.727447\nName: 4270, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09850204740044141, std values: 0.8251955754580302, min values: -2.5689076212724418, max values: 5.0, median values: 0.0086976073021334, and quantile values: 0.25 -0.471567\n0.50 0.008698\n0.75 0.630030\nName: 4271, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3230057810928642, std values: 0.8734380940909295, min values: -2.0080690565656645, max values: 6.0, median values: 0.4094727474741053, and quantile values: 0.25 -0.273448\n0.50 0.409473\n0.75 0.939507\nName: 4272, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22676608802960002, std values: 0.7278868047298082, min values: -1.988079479687454, max values: 3.0, median values: 0.272190274287581, and quantile values: 0.25 -0.249993\n0.50 0.272190\n0.75 0.696477\nName: 4273, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27966775797286303, std values: 1.0451991107300902, min values: -2.572123985342288, max values: 5.0, median values: 0.3171475850766673, and quantile values: 0.25 -0.428723\n0.50 0.317148\n0.75 1.051132\nName: 4274, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5263404491885192, std values: 1.338360896092441, min values: -2.928515832252388, max values: 5.0, median values: 0.8931484002461463, and quantile values: 0.25 -0.203977\n0.50 0.893148\n0.75 1.521710\nName: 4275, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2171879006639893, std values: 0.9928647967598863, min values: -2.321510952509234, max values: 3.8226908388056136, median values: 0.3239339446799948, and quantile values: 0.25 -0.492838\n0.50 0.323934\n0.75 0.967849\nName: 4276, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5235752970137627, std values: 0.8431052586216126, min values: -2.374446373878101, max values: 4.0, median values: 0.5717082282712709, and quantile values: 0.25 -0.015808\n0.50 0.571708\n0.75 1.103055\nName: 4277, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08883575126870275, std values: 0.8312050694786034, min values: -2.0271217109746607, max values: 3.336438412828754, median values: -0.0730164684978323, and quantile values: 0.25 -0.684968\n0.50 -0.073016\n0.75 0.453915\nName: 4278, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06703829186765713, std values: 0.8441407969682599, min values: -2.5759052915632985, max values: 3.630507857092792, median values: -0.040094859718499, and quantile values: 0.25 -0.554117\n0.50 -0.040095\n0.75 0.421608\nName: 4279, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07479012303512624, std values: 1.0049513790969573, min values: -2.497627580948261, max values: 3.0, median values: 0.0073976673707192, and quantile values: 0.25 -0.628922\n0.50 0.007398\n0.75 0.565929\nName: 4280, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45516361941090466, std values: 1.4131396836540155, min values: -2.769191083399913, max values: 3.518664430018096, median values: 0.5198241967281301, and quantile values: 0.25 -0.389714\n0.50 0.519824\n0.75 1.523899\nName: 4281, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5168763106244672, std values: 0.8987565628204549, min values: -2.5825978442440407, max values: 6.0, median values: 0.6256363286290708, and quantile values: 0.25 -0.051262\n0.50 0.625636\n0.75 1.130122\nName: 4282, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10255841239834179, std values: 0.7975704121251602, min values: -2.537573835824454, max values: 6.0, median values: -0.0565875550057978, and quantile values: 0.25 -0.666426\n0.50 -0.056588\n0.75 0.429578\nName: 4283, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3617480853762504, std values: 0.9270121846144124, min values: -2.119118875804272, max values: 3.434669824302974, median values: -0.4520381692725214, and quantile values: 0.25 -1.105124\n0.50 -0.452038\n0.75 0.262030\nName: 4284, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14699514736187172, std values: 0.9794281698377345, min values: -2.64479559868397, max values: 6.0, median values: -0.1790138905759445, and quantile values: 0.25 -0.723972\n0.50 -0.179014\n0.75 0.436847\nName: 4285, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13989024951419243, std values: 1.2361531558561172, min values: -2.869671295224012, max values: 6.0, median values: -0.1004973814494564, and quantile values: 0.25 -1.013561\n0.50 -0.100497\n0.75 0.885567\nName: 4286, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43723898205294726, std values: 0.8732852823748, min values: -2.572123985342288, max values: 5.0, median values: 0.554662593014338, and quantile values: 0.25 -0.056734\n0.50 0.554663\n0.75 0.996175\nName: 4287, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1561189586975359, std values: 0.847456134200914, min values: -2.7230534645798463, max values: 3.1485882570365185, median values: -0.1178652002838627, and quantile values: 0.25 -0.628420\n0.50 -0.117865\n0.75 0.368143\nName: 4288, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24878608495709903, std values: 0.9973386351732602, min values: -2.446475285346346, max values: 4.243835016543704, median values: 0.2248665930041983, and quantile values: 0.25 -0.538074\n0.50 0.224867\n0.75 1.067409\nName: 4289, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12623535314457968, std values: 0.945759234968493, min values: -2.075893982221889, max values: 5.0, median values: 0.0391487371433333, and quantile values: 0.25 -0.629526\n0.50 0.039149\n0.75 0.778382\nName: 4290, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0302653086707516, std values: 0.8212853134947037, min values: -2.245752867605861, max values: 2.9128356588262627, median values: 0.0850059670150676, and quantile values: 0.25 -0.562714\n0.50 0.085006\n0.75 0.642825\nName: 4291, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.036727650731887294, std values: 0.884716126241148, min values: -2.5859127503381347, max values: 3.0, median values: 0.0463165488063771, and quantile values: 0.25 -0.628333\n0.50 0.046317\n0.75 0.623274\nName: 4292, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.029122837105221924, std values: 0.9418137380496359, min values: -2.5743883495350026, max values: 5.0, median values: 0.0596855701449707, and quantile values: 0.25 -0.554234\n0.50 0.059686\n0.75 0.588656\nName: 4293, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.052603572020733874, std values: 1.1397482897174107, min values: -2.6603025395856053, max values: 5.0, median values: 0.0365528065457363, and quantile values: 0.25 -0.754065\n0.50 0.036553\n0.75 0.874670\nName: 4294, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.003120176826746054, std values: 0.741214392820872, min values: -2.7648443048846945, max values: 2.672707393137415, median values: 0.03098668524895, and quantile values: 0.25 -0.489179\n0.50 0.030987\n0.75 0.465654\nName: 4295, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2302559448985666, std values: 0.7642154135513609, min values: -3.074005993202373, max values: 2.7727068387367733, median values: -0.1997317312450954, and quantile values: 0.25 -0.665659\n0.50 -0.199732\n0.75 0.238502\nName: 4296, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19515620177671059, std values: 0.8385323544953331, min values: -2.2915911556076085, max values: 3.306454397423372, median values: 0.1188635849047339, and quantile values: 0.25 -0.380471\n0.50 0.118864\n0.75 0.712471\nName: 4297, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5402202250235077, std values: 1.100011468894279, min values: -2.2398683045325223, max values: 3.0, median values: 0.4888307203776075, and quantile values: 0.25 -0.309719\n0.50 0.488831\n0.75 1.455986\nName: 4298, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.021668177412242, std values: 0.9247131075795789, min values: -2.7688682710567485, max values: 2.8021829819288926, median values: 0.0572267207440596, and quantile values: 0.25 -0.610723\n0.50 0.057227\n0.75 0.602888\nName: 4299, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26783570819943564, std values: 1.1436039987937312, min values: -2.622709665346679, max values: 3.5908526919299577, median values: 0.4167186637043021, and quantile values: 0.25 -0.406019\n0.50 0.416719\n0.75 1.142301\nName: 4300, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.043879257396440295, std values: 0.965558681156643, min values: -2.608390851963037, max values: 5.0, median values: -0.1052731310939739, and quantile values: 0.25 -0.840699\n0.50 -0.105273\n0.75 0.673377\nName: 4301, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6049032602667762, std values: 0.8554018529091216, min values: -2.8531572940820533, max values: 3.397048482165858, median values: -0.7864985334517065, and quantile values: 0.25 -1.214254\n0.50 -0.786499\n0.75 -0.134132\nName: 4302, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14873789958269698, std values: 1.0759886289706921, min values: -2.90140378513671, max values: 3.630507857092792, median values: 0.0890143145074397, and quantile values: 0.25 -0.512408\n0.50 0.089014\n0.75 0.859047\nName: 4303, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1827326396054047, std values: 0.7962483675797005, min values: -1.964211211581255, max values: 3.784832159836258, median values: -0.2731467320609437, and quantile values: 0.25 -0.794025\n0.50 -0.273147\n0.75 0.314745\nName: 4304, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6379402952085215, std values: 0.8660220217068737, min values: -1.8607678245097456, max values: 3.247416277295021, median values: 0.7273548296326442, and quantile values: 0.25 0.017378\n0.50 0.727355\n0.75 1.315006\nName: 4305, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.173300111297256, std values: 0.8985850294021042, min values: -2.15085577507779, max values: 4.0, median values: -0.3087025660357846, and quantile values: 0.25 -0.847685\n0.50 -0.308703\n0.75 0.439658\nName: 4306, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20398308406727042, std values: 0.7327850334561691, min values: -1.9823496288954088, max values: 5.0, median values: 0.2637691450586106, and quantile values: 0.25 -0.313443\n0.50 0.263769\n0.75 0.736158\nName: 4307, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6696299446297135, std values: 1.5286472137918197, min values: -2.944950884974346, max values: 3.397048482165858, median values: -0.3937678061408652, and quantile values: 0.25 -2.156455\n0.50 -0.393768\n0.75 0.569205\nName: 4308, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14420929937415222, std values: 0.9267084573035894, min values: -2.5825978442440407, max values: 6.0, median values: 0.1077451017419455, and quantile values: 0.25 -0.480222\n0.50 0.107745\n0.75 0.688217\nName: 4309, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03398134947484811, std values: 0.7843984278875198, min values: -1.9906693637114885, max values: 5.0, median values: -0.0356483816648562, and quantile values: 0.25 -0.474236\n0.50 -0.035648\n0.75 0.522884\nName: 4310, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3843328270007205, std values: 0.8952457874780849, min values: -2.5695487141177, max values: 4.0, median values: -0.4642422675613066, and quantile values: 0.25 -0.959277\n0.50 -0.464242\n0.75 0.149165\nName: 4311, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43553066002922386, std values: 1.0106897198381453, min values: -2.222049826555007, max values: 3.5427287984042666, median values: 0.4731255203991537, and quantile values: 0.25 -0.251302\n0.50 0.473126\n0.75 1.118202\nName: 4312, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15797752837917703, std values: 0.8775467350191952, min values: -2.4960309093026924, max values: 3.336438412828754, median values: -0.2419708756649982, and quantile values: 0.25 -0.828314\n0.50 -0.241971\n0.75 0.453732\nName: 4313, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5538001290618852, std values: 1.0235031128439487, min values: -2.6023368942328267, max values: 4.278004674434932, median values: 0.639921417740232, and quantile values: 0.25 -0.087892\n0.50 0.639921\n0.75 1.359108\nName: 4314, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4002718388294827, std values: 0.7772191897244589, min values: -2.093800662299286, max values: 3.415255285860171, median values: -0.3991368411091535, and quantile values: 0.25 -0.968301\n0.50 -0.399137\n0.75 0.084784\nName: 4315, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09688015968674678, std values: 0.9299723272082242, min values: -2.687115288423959, max values: 5.0, median values: 0.113880366815604, and quantile values: 0.25 -0.553931\n0.50 0.113880\n0.75 0.759175\nName: 4316, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04052894191612676, std values: 1.1087014840554876, min values: -2.9472833478224456, max values: 6.0, median values: 0.0685938152667152, and quantile values: 0.25 -0.784736\n0.50 0.068594\n0.75 0.749074\nName: 4317, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1508578677390889, std values: 0.8219810155593404, min values: -2.1754302383979485, max values: 4.026668017837955, median values: -0.1626175092861024, and quantile values: 0.25 -0.735384\n0.50 -0.162618\n0.75 0.401209\nName: 4318, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22095300653577785, std values: 0.8222879948852047, min values: -2.7939007019027, max values: 4.026668017837955, median values: 0.2610472336275248, and quantile values: 0.25 -0.228766\n0.50 0.261047\n0.75 0.724709\nName: 4319, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24148672560574644, std values: 1.0113196664022475, min values: -2.1012159016010257, max values: 3.667275230673496, median values: -0.3862401364945035, and quantile values: 0.25 -1.054340\n0.50 -0.386240\n0.75 0.458973\nName: 4320, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1711244124454377, std values: 1.0091380359553555, min values: -2.5039074859839925, max values: 4.0, median values: 0.050007812228978, and quantile values: 0.25 -0.578987\n0.50 0.050008\n0.75 0.784890\nName: 4321, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5882328663518926, std values: 0.8963538096406529, min values: -2.825926939679757, max values: 3.110498035652072, median values: -0.6819411408807962, and quantile values: 0.25 -1.332332\n0.50 -0.681941\n0.75 0.015175\nName: 4322, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07250971867255324, std values: 0.8742837141312353, min values: -2.283467652288315, max values: 4.0, median values: -0.1514929091319856, and quantile values: 0.25 -0.754505\n0.50 -0.151493\n0.75 0.523164\nName: 4323, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.054643625032601915, std values: 0.8832745999202363, min values: -2.3344113078233786, max values: 3.0, median values: -0.0455382185820717, and quantile values: 0.25 -0.577116\n0.50 -0.045538\n0.75 0.670002\nName: 4324, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17986586572144217, std values: 0.9010778268189128, min values: -1.917031510510337, max values: 3.9905524164385566, median values: 0.0737355117138488, and quantile values: 0.25 -0.449203\n0.50 0.073736\n0.75 0.734053\nName: 4325, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03934316882282744, std values: 0.951199854012411, min values: -3.0687217584296813, max values: 2.975781014280383, median values: -0.0780731068709996, and quantile values: 0.25 -0.711283\n0.50 -0.078073\n0.75 0.631359\nName: 4326, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08869679034778358, std values: 0.943589898924285, min values: -2.8467638118011016, max values: 5.0, median values: 0.1896090830012848, and quantile values: 0.25 -0.505972\n0.50 0.189609\n0.75 0.779091\nName: 4327, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2534693295545406, std values: 0.8536062889108395, min values: -2.841647375415054, max values: 5.0, median values: -0.3082316755661717, and quantile values: 0.25 -0.927178\n0.50 -0.308232\n0.75 0.307490\nName: 4328, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10016798976479102, std values: 0.8971768507252723, min values: -2.9666813816765707, max values: 4.0, median values: 0.1671621665287731, and quantile values: 0.25 -0.454597\n0.50 0.167162\n0.75 0.707604\nName: 4329, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.8256535007688817, std values: 1.2619607756824596, min values: -3.101800431129944, max values: 6.0, median values: -2.1411075716318293, and quantile values: 0.25 -2.459888\n0.50 -2.141108\n0.75 -1.850596\nName: 4330, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05000320882669204, std values: 0.9122488505604104, min values: -3.447534482420193, max values: 2.6682522942394846, median values: -0.013992083188255, and quantile values: 0.25 -0.607982\n0.50 -0.013992\n0.75 0.504189\nName: 4331, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34201047467429735, std values: 0.8338428330808307, min values: -2.196708653609315, max values: 6.0, median values: -0.4602584842597605, and quantile values: 0.25 -0.962277\n0.50 -0.460258\n0.75 0.204576\nName: 4332, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2873925543514622, std values: 0.8402361815114203, min values: -2.1548749249906303, max values: 5.0, median values: 0.21750082777848, and quantile values: 0.25 -0.352334\n0.50 0.217501\n0.75 0.877686\nName: 4333, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05191394593967629, std values: 0.8812721271053757, min values: -2.789830374413015, max values: 3.2266531185902125, median values: -0.1225436728672118, and quantile values: 0.25 -0.754335\n0.50 -0.122544\n0.75 0.575891\nName: 4334, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3524449820815776, std values: 0.8398656608061439, min values: -2.710223074556336, max values: 4.0, median values: 0.3559869899701839, and quantile values: 0.25 -0.238700\n0.50 0.355987\n0.75 1.020172\nName: 4335, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2682748340679645, std values: 1.4017484913682152, min values: -2.837386543755612, max values: 4.243835016543704, median values: -0.4286735062755136, and quantile values: 0.25 -1.270604\n0.50 -0.428674\n0.75 0.679944\nName: 4336, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1477239845567286, std values: 0.7323831716113205, min values: -2.3771558481240653, max values: 4.0, median values: -0.1982803146180364, and quantile values: 0.25 -0.647150\n0.50 -0.198280\n0.75 0.292366\nName: 4337, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7261388983906646, std values: 0.9355641463362195, min values: -2.634919142586459, max values: 6.0, median values: -0.8873608751569961, and quantile values: 0.25 -1.485051\n0.50 -0.887361\n0.75 -0.095178\nName: 4338, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17994573055436427, std values: 0.8722092848848605, min values: -2.572123985342288, max values: 4.0, median values: -0.3064504506569845, and quantile values: 0.25 -0.842210\n0.50 -0.306450\n0.75 0.415262\nName: 4339, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5106415180369992, std values: 0.7950444031315478, min values: -2.1047747435038886, max values: 5.0, median values: -0.6114920777763586, and quantile values: 0.25 -1.072226\n0.50 -0.611492\n0.75 -0.075347\nName: 4340, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24623046279186442, std values: 0.797133495747446, min values: -2.5832619696830608, max values: 6.0, median values: -0.3479416813196456, and quantile values: 0.25 -0.853488\n0.50 -0.347942\n0.75 0.290154\nName: 4341, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22624416762659852, std values: 0.935617303926735, min values: -2.657870006553045, max values: 3.2266531185902125, median values: -0.2701903151381999, and quantile values: 0.25 -0.884588\n0.50 -0.270190\n0.75 0.387900\nName: 4342, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11648069647796208, std values: 0.750111602485951, min values: -2.1364528974665475, max values: 5.0, median values: 0.1479702428810534, and quantile values: 0.25 -0.373619\n0.50 0.147970\n0.75 0.575386\nName: 4343, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.013891126350790968, std values: 1.10745870851059, min values: -2.6652153608723106, max values: 5.0, median values: -0.0143229994143818, and quantile values: 0.25 -0.902343\n0.50 -0.014323\n0.75 0.809933\nName: 4344, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09579074676003312, std values: 0.9111701940618437, min values: -2.4176069991382847, max values: 6.0, median values: 0.0916135897078009, and quantile values: 0.25 -0.558566\n0.50 0.091614\n0.75 0.722928\nName: 4345, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3638863582558457, std values: 1.356918559654121, min values: -2.9090251609554527, max values: 6.0, median values: -0.0927801970121165, and quantile values: 0.25 -1.764076\n0.50 -0.092780\n0.75 0.594454\nName: 4346, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12431827273765088, std values: 0.8950597224602307, min values: -2.6404955031131814, max values: 6.0, median values: 0.1803362536384555, and quantile values: 0.25 -0.493087\n0.50 0.180336\n0.75 0.739727\nName: 4347, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20779115225787884, std values: 1.0759328833283477, min values: -2.6278943940336483, max values: 4.026668017837955, median values: -0.1424050487855784, and quantile values: 0.25 -0.831267\n0.50 -0.142405\n0.75 0.554245\nName: 4348, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36990784199018356, std values: 1.1125776580499198, min values: -2.642042398333877, max values: 3.0, median values: -0.3603741597249807, and quantile values: 0.25 -1.154067\n0.50 -0.360374\n0.75 0.454623\nName: 4349, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.016755373559530842, std values: 0.9058570931311776, min values: -2.5422910691068967, max values: 3.3636961113187773, median values: -0.0035688177500014, and quantile values: 0.25 -0.665718\n0.50 -0.003569\n0.75 0.552664\nName: 4350, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2841487526923, std values: 0.8801595945048963, min values: -2.6603025395856053, max values: 5.0, median values: -0.2936886538487283, and quantile values: 0.25 -0.862881\n0.50 -0.293689\n0.75 0.243038\nName: 4351, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4086786881238595, std values: 0.8628352400913135, min values: -2.7542003929097176, max values: 5.0, median values: 0.5008766717692082, and quantile values: 0.25 -0.080800\n0.50 0.500877\n0.75 0.993733\nName: 4352, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5042105698083587, std values: 0.7592356655011553, min values: -2.092815429397888, max values: 5.0, median values: -0.5765409259322858, and quantile values: 0.25 -1.052488\n0.50 -0.576541\n0.75 -0.063190\nName: 4353, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4947920342864829, std values: 0.9459516463684968, min values: -3.228456465836797, max values: 3.169414082461771, median values: -0.638935569285643, and quantile values: 0.25 -1.245984\n0.50 -0.638936\n0.75 0.155645\nName: 4354, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6158628572567951, std values: 0.8299305996612264, min values: -2.5569229852416258, max values: 4.0, median values: -0.7493314895347727, and quantile values: 0.25 -1.195185\n0.50 -0.749331\n0.75 -0.172253\nName: 4355, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04487152353158561, std values: 0.9728482081350368, min values: -2.169311742921253, max values: 6.0, median values: -0.0591206834280774, and quantile values: 0.25 -0.714727\n0.50 -0.059121\n0.75 0.704209\nName: 4356, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4621190194225236, std values: 0.8461825222407509, min values: -2.222049826555007, max values: 3.670892362631932, median values: 0.447427575448372, and quantile values: 0.25 -0.077104\n0.50 0.447428\n0.75 1.021494\nName: 4357, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3084240883778189, std values: 1.0963103074694591, min values: -2.955641696055872, max values: 3.5908526919299577, median values: 0.2679249410059187, and quantile values: 0.25 -0.329509\n0.50 0.267925\n0.75 0.919233\nName: 4358, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10229027529209361, std values: 0.845986602544356, min values: -2.64479559868397, max values: 6.0, median values: -0.0350096173088942, and quantile values: 0.25 -0.595440\n0.50 -0.035010\n0.75 0.422673\nName: 4359, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2048547402599262, std values: 0.8642530583459993, min values: -2.566149343918479, max values: 6.0, median values: 0.2296017432500344, and quantile values: 0.25 -0.389566\n0.50 0.229602\n0.75 0.865045\nName: 4360, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13186799208796574, std values: 0.8333797748904476, min values: -2.387502123299662, max values: 5.0, median values: -0.0703706873376782, and quantile values: 0.25 -0.700791\n0.50 -0.070371\n0.75 0.414696\nName: 4361, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5837710896959624, std values: 0.9990077427069342, min values: -2.9898739724800576, max values: 3.281452258958016, median values: -0.7728018816764112, and quantile values: 0.25 -1.404673\n0.50 -0.772802\n0.75 0.067220\nName: 4362, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2727201268798738, std values: 1.2219269872602443, min values: -2.9622221028070275, max values: 4.0, median values: -0.2438695700882087, and quantile values: 0.25 -1.033798\n0.50 -0.243870\n0.75 0.566179\nName: 4363, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49213496710072063, std values: 1.0019655838232544, min values: -2.64479559868397, max values: 6.0, median values: 0.6256291657768184, and quantile values: 0.25 -0.108109\n0.50 0.625629\n0.75 1.234408\nName: 4364, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2658390198191375, std values: 1.0595325497567025, min values: -2.92272757463548, max values: 6.0, median values: -0.1951917929374437, and quantile values: 0.25 -0.835788\n0.50 -0.195192\n0.75 0.433842\nName: 4365, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12064218797959428, std values: 0.825166555695197, min values: -2.3771558481240653, max values: 4.0, median values: -0.2067414021889131, and quantile values: 0.25 -0.720503\n0.50 -0.206741\n0.75 0.427074\nName: 4366, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.3699574641862942, std values: 1.1657052957932612, min values: -2.879968592907284, max values: 4.0, median values: -1.8659988638767573, and quantile values: 0.25 -2.240740\n0.50 -1.865999\n0.75 -0.426340\nName: 4367, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06565489862309268, std values: 0.9079962889505586, min values: -2.15645541897611, max values: 5.0, median values: 0.0268756666159303, and quantile values: 0.25 -0.588094\n0.50 0.026876\n0.75 0.695634\nName: 4368, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19497797513801338, std values: 0.7912376491578434, min values: -2.0266920753422344, max values: 3.9905524164385566, median values: 0.1817359696845971, and quantile values: 0.25 -0.314398\n0.50 0.181736\n0.75 0.682448\nName: 4369, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10591718871907975, std values: 0.7513692529908627, min values: -2.8451834694312192, max values: 3.0, median values: 0.0623409104152784, and quantile values: 0.25 -0.361305\n0.50 0.062341\n0.75 0.548731\nName: 4370, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17167529482497582, std values: 0.9016975811334959, min values: -2.279638670509252, max values: 6.0, median values: 0.2415628965370781, and quantile values: 0.25 -0.500104\n0.50 0.241563\n0.75 0.806848\nName: 4371, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5698930310435385, std values: 0.9383021658636462, min values: -2.2065783767301927, max values: 6.0, median values: 0.5829322619100124, and quantile values: 0.25 -0.079977\n0.50 0.582932\n0.75 1.333487\nName: 4372, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12346780397671739, std values: 0.7835744293794171, min values: -2.008976164219656, max values: 5.0, median values: 0.1687599042146992, and quantile values: 0.25 -0.435963\n0.50 0.168760\n0.75 0.650457\nName: 4373, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10718296873167772, std values: 0.7417255792953507, min values: -2.0202919896885287, max values: 5.0, median values: 0.0679090265754045, and quantile values: 0.25 -0.380283\n0.50 0.067909\n0.75 0.578680\nName: 4374, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4279813425377135, std values: 1.0447107846946244, min values: -2.8246479422601736, max values: 6.0, median values: -0.4596605818930603, and quantile values: 0.25 -1.160080\n0.50 -0.459661\n0.75 0.297320\nName: 4375, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19646926876566242, std values: 0.9438179501562511, min values: -2.3893642989164, max values: 3.1290445144064547, median values: -0.3495732383925148, and quantile values: 0.25 -0.932402\n0.50 -0.349573\n0.75 0.424451\nName: 4376, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08755324456530766, std values: 0.9404396147839414, min values: -2.060842074965388, max values: 4.0, median values: -0.0911434626846037, and quantile values: 0.25 -0.593600\n0.50 -0.091143\n0.75 0.692206\nName: 4377, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5341781530359548, std values: 1.000192390500456, min values: -2.4540853055744134, max values: 3.518664430018096, median values: 0.5748001507862572, and quantile values: 0.25 -0.148513\n0.50 0.574800\n0.75 1.140070\nName: 4378, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4353834913469936, std values: 0.8795155929562021, min values: -2.4737574649270093, max values: 3.2696814875916886, median values: 0.3921593136228318, and quantile values: 0.25 -0.156961\n0.50 0.392159\n0.75 0.996253\nName: 4379, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14693745243977716, std values: 1.1263236214871553, min values: -2.576018450691392, max values: 4.0, median values: -0.0867197102265131, and quantile values: 0.25 -0.979141\n0.50 -0.086720\n0.75 0.663845\nName: 4380, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21108114398083813, std values: 1.1986887452821389, min values: -2.6023368942328267, max values: 3.667275230673496, median values: 0.3609913534950557, and quantile values: 0.25 -0.531421\n0.50 0.360991\n0.75 1.133486\nName: 4381, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.48078003023465743, std values: 1.048656868686578, min values: -2.04643520009459, max values: 6.0, median values: 0.4853735144778977, and quantile values: 0.25 -0.362491\n0.50 0.485374\n0.75 1.359792\nName: 4382, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12462623709436996, std values: 0.8806481807331327, min values: -2.5689076212724418, max values: 5.0, median values: -0.1976104409915342, and quantile values: 0.25 -0.799093\n0.50 -0.197610\n0.75 0.497294\nName: 4383, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18564299840473955, std values: 0.8360828071250161, min values: -2.1149759989911825, max values: 3.0, median values: -0.1312161861218611, and quantile values: 0.25 -0.806296\n0.50 -0.131216\n0.75 0.412997\nName: 4384, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0805066469673249, std values: 0.8912356536174355, min values: -2.8680719719444903, max values: 3.434669824302974, median values: -0.1499609431676987, and quantile values: 0.25 -0.665871\n0.50 -0.149961\n0.75 0.497106\nName: 4385, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.207945240617466, std values: 0.8665563221885734, min values: -2.5825978442440407, max values: 6.0, median values: -0.3126463005348754, and quantile values: 0.25 -0.848469\n0.50 -0.312646\n0.75 0.369322\nName: 4386, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2169773446896776, std values: 0.7789451720674258, min values: -2.688157591415518, max values: 5.0, median values: 0.2089082217575547, and quantile values: 0.25 -0.259751\n0.50 0.208908\n0.75 0.691004\nName: 4387, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.344180075602559, std values: 0.7557264492387946, min values: -1.8895196158968823, max values: 6.0, median values: 0.4032991165066363, and quantile values: 0.25 -0.144077\n0.50 0.403299\n0.75 0.847798\nName: 4388, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03130280468522874, std values: 0.7554618433545902, min values: -2.024305098645945, max values: 6.0, median values: 0.0275427950156786, and quantile values: 0.25 -0.438354\n0.50 0.027543\n0.75 0.470078\nName: 4389, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.007095713522245841, std values: 0.9534595184351023, min values: -2.1313856548403414, max values: 4.243835016543704, median values: 0.0277504695512872, and quantile values: 0.25 -0.689086\n0.50 0.027750\n0.75 0.578591\nName: 4390, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6094860343008692, std values: 0.8489952170544249, min values: -2.607565022042742, max values: 4.0, median values: -0.7119259094813293, and quantile values: 0.25 -1.227066\n0.50 -0.711926\n0.75 -0.092756\nName: 4391, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08519207239965157, std values: 0.9976836728633532, min values: -2.788272971802125, max values: 3.9905524164385566, median values: -0.0450626118502457, and quantile values: 0.25 -0.755800\n0.50 -0.045063\n0.75 0.574326\nName: 4392, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2721051013512109, std values: 0.9853367164605675, min values: -2.634919142586459, max values: 6.0, median values: 0.3493220132259862, and quantile values: 0.25 -0.268537\n0.50 0.349322\n0.75 0.894276\nName: 4393, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06707334130409656, std values: 0.7159864395851322, min values: -1.9373136936103617, max values: 5.0, median values: 0.0412775635104441, and quantile values: 0.25 -0.373010\n0.50 0.041278\n0.75 0.498604\nName: 4394, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.562765953241411, std values: 1.0911041686118663, min values: -2.5213149333948146, max values: 3.1166497049712243, median values: 0.4764587726379012, and quantile values: 0.25 -0.301571\n0.50 0.476459\n0.75 1.500237\nName: 4395, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04878074813905505, std values: 0.8253527435045653, min values: -2.151036171486955, max values: 5.0, median values: 0.0259535992869144, and quantile values: 0.25 -0.499033\n0.50 0.025954\n0.75 0.515668\nName: 4396, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6606615350737198, std values: 1.0990736756865196, min values: -3.00972886875607, max values: 3.0, median values: -0.7866600645491851, and quantile values: 0.25 -1.448066\n0.50 -0.786660\n0.75 0.109504\nName: 4397, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05574222703877123, std values: 0.7570791206751308, min values: -2.0230551904343272, max values: 3.132053530264631, median values: -0.036712630754512, and quantile values: 0.25 -0.562770\n0.50 -0.036713\n0.75 0.421018\nName: 4398, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07903068385837302, std values: 0.7671767702794938, min values: -2.0085619686347487, max values: 5.0, median values: -0.1958374198246159, and quantile values: 0.25 -0.623829\n0.50 -0.195837\n0.75 0.392092\nName: 4399, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27606205192270444, std values: 1.0043467233331342, min values: -2.5563022890751474, max values: 4.0, median values: -0.3240475969462305, and quantile values: 0.25 -1.078731\n0.50 -0.324048\n0.75 0.448316\nName: 4400, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8314518756039265, std values: 0.9974926344526323, min values: -2.475778245535816, max values: 4.0, median values: 1.0065506995935252, and quantile values: 0.25 0.194719\n0.50 1.006551\n0.75 1.601471\nName: 4401, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0376656028178511, std values: 0.7797185140919038, min values: -2.5832619696830608, max values: 6.0, median values: 0.0714702371041536, and quantile values: 0.25 -0.478893\n0.50 0.071470\n0.75 0.524330\nName: 4402, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.021015429530594463, std values: 1.5728793341412, min values: -2.9278427058120164, max values: 6.0, median values: 0.4281787337899423, and quantile values: 0.25 -1.695039\n0.50 0.428179\n0.75 1.220312\nName: 4403, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1738173580632063, std values: 0.9634780682937167, min values: -2.5953860446419177, max values: 5.0, median values: 0.1931992827186545, and quantile values: 0.25 -0.438147\n0.50 0.193199\n0.75 0.816116\nName: 4404, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20506247242377415, std values: 1.2963214837850374, min values: -2.9109251266226006, max values: 3.1290445144064547, median values: -0.016261255700432, and quantile values: 0.25 -1.167757\n0.50 -0.016261\n0.75 0.725201\nName: 4405, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03816618279919989, std values: 1.2338790211757482, min values: -2.8563982925340614, max values: 5.0, median values: 0.223878755008837, and quantile values: 0.25 -0.779659\n0.50 0.223879\n0.75 0.818997\nName: 4406, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41719687944134015, std values: 0.9580267052658548, min values: -2.6117120822772133, max values: 5.0, median values: 0.4252645752287187, and quantile values: 0.25 -0.278401\n0.50 0.425265\n0.75 1.085358\nName: 4407, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6247043739857476, std values: 0.9003030878640955, min values: -2.634919142586459, max values: 6.0, median values: -0.7958070640018029, and quantile values: 0.25 -1.284501\n0.50 -0.795807\n0.75 -0.073293\nName: 4408, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39019151562574644, std values: 0.7639100581172444, min values: -2.119621483749997, max values: 3.667275230673496, median values: 0.4081731469565938, and quantile values: 0.25 -0.064283\n0.50 0.408173\n0.75 0.873112\nName: 4409, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5385885202280548, std values: 1.0484798633127614, min values: -2.8547740449753216, max values: 5.0, median values: -0.498738304916279, and quantile values: 0.25 -1.283693\n0.50 -0.498738\n0.75 0.124246\nName: 4410, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16926898554316938, std values: 0.8006062968883343, min values: -1.9258750809018688, max values: 3.247416277295021, median values: 0.097173714407954, and quantile values: 0.25 -0.370858\n0.50 0.097174\n0.75 0.679974\nName: 4411, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1974507994785168, std values: 0.9988797032469182, min values: -2.739804196611005, max values: 6.0, median values: 0.2844248939726612, and quantile values: 0.25 -0.443148\n0.50 0.284425\n0.75 0.850566\nName: 4412, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15799993204998572, std values: 1.0141669254228565, min values: -2.556631690482005, max values: 3.709787027503053, median values: -0.1682168091691562, and quantile values: 0.25 -0.956008\n0.50 -0.168217\n0.75 0.574136\nName: 4413, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02760192451085815, std values: 0.7623491511687351, min values: -2.4871726054511827, max values: 3.721862465295849, median values: -0.0405214160396947, and quantile values: 0.25 -0.533110\n0.50 -0.040521\n0.75 0.431604\nName: 4414, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15034318390668747, std values: 0.8188302636664709, min values: -2.4536054974529624, max values: 6.0, median values: -0.2543994292324317, and quantile values: 0.25 -0.735616\n0.50 -0.254399\n0.75 0.360462\nName: 4415, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08617793744513735, std values: 0.9823401280024944, min values: -2.6270253558526173, max values: 4.0, median values: 0.0481848978721595, and quantile values: 0.25 -0.664657\n0.50 0.048185\n0.75 0.562646\nName: 4416, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5770633974808912, std values: 1.067304383960341, min values: -2.928515832252388, max values: 5.0, median values: -0.6879656684762845, and quantile values: 0.25 -1.348941\n0.50 -0.687966\n0.75 0.115284\nName: 4417, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04671149382272898, std values: 0.8270280970992642, min values: -2.5569229852416258, max values: 4.0, median values: -0.0666945493329984, and quantile values: 0.25 -0.613174\n0.50 -0.066695\n0.75 0.489855\nName: 4418, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3454995893805653, std values: 1.1261841451629633, min values: -2.879968592907284, max values: 4.0, median values: -0.4735871635980005, and quantile values: 0.25 -1.143359\n0.50 -0.473587\n0.75 0.409884\nName: 4419, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4767206346896526, std values: 0.7767053525707777, min values: -2.58513369695146, max values: 3.1290445144064547, median values: -0.591433739299002, and quantile values: 0.25 -1.023926\n0.50 -0.591434\n0.75 -0.021648\nName: 4420, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28450277141665625, std values: 0.863552384421612, min values: -2.730840794324401, max values: 3.5581019918925243, median values: -0.368125309492152, and quantile values: 0.25 -0.916396\n0.50 -0.368125\n0.75 0.291016\nName: 4421, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21809727749413538, std values: 1.0149224767127485, min values: -2.92272757463548, max values: 6.0, median values: -0.0429334461966461, and quantile values: 0.25 -0.698587\n0.50 -0.042933\n0.75 0.439448\nName: 4422, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3659262825038571, std values: 0.7980572885907716, min values: -1.9851736225891727, max values: 5.0, median values: 0.3608258357624817, and quantile values: 0.25 -0.099803\n0.50 0.360826\n0.75 0.853863\nName: 4423, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23311164946419907, std values: 0.8929315597182521, min values: -2.0669513462950864, max values: 3.362228250221886, median values: 0.1223311247445044, and quantile values: 0.25 -0.436627\n0.50 0.122331\n0.75 0.840430\nName: 4424, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06859005012296918, std values: 0.9256621177021347, min values: -2.732564679617164, max values: 3.0, median values: 0.1486242423610732, and quantile values: 0.25 -0.541765\n0.50 0.148624\n0.75 0.776855\nName: 4425, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05859627590426493, std values: 0.7610446233565816, min values: -2.525881048269423, max values: 3.110498035652072, median values: 0.0951303637889932, and quantile values: 0.25 -0.449675\n0.50 0.095130\n0.75 0.531475\nName: 4426, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3012255856817602, std values: 1.0009418758928668, min values: -2.7542003929097176, max values: 5.0, median values: -0.2364055421557789, and quantile values: 0.25 -0.867290\n0.50 -0.236406\n0.75 0.366994\nName: 4427, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07739709351992614, std values: 0.8136387415073656, min values: -2.6652153608723106, max values: 3.721862465295849, median values: -0.013282982102371, and quantile values: 0.25 -0.482664\n0.50 -0.013283\n0.75 0.603582\nName: 4428, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11984151153393162, std values: 0.8465249430174068, min values: -2.3184884946917497, max values: 6.0, median values: -0.2619446753745824, and quantile values: 0.25 -0.741904\n0.50 -0.261945\n0.75 0.424400\nName: 4429, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.004124418269725173, std values: 0.9480540012393753, min values: -2.9472833478224456, max values: 6.0, median values: 0.0874384522484784, and quantile values: 0.25 -0.580105\n0.50 0.087438\n0.75 0.625198\nName: 4430, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39222247447353964, std values: 1.1542753061397681, min values: -2.5743883495350026, max values: 5.0, median values: 0.4227337031882137, and quantile values: 0.25 -0.402338\n0.50 0.422734\n0.75 1.358197\nName: 4431, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17160552730428213, std values: 0.7748746831584664, min values: -2.732564679617164, max values: 3.670892362631932, median values: -0.2247512747496872, and quantile values: 0.25 -0.673941\n0.50 -0.224751\n0.75 0.263371\nName: 4432, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5247367184087234, std values: 1.2522151985403072, min values: -2.727901130262228, max values: 4.0, median values: -0.4528939194093392, and quantile values: 0.25 -1.753793\n0.50 -0.452894\n0.75 0.336641\nName: 4433, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28938538872327024, std values: 1.0699318371455977, min values: -2.769191083399913, max values: 3.32433157891547, median values: -0.1248564168689314, and quantile values: 0.25 -0.858227\n0.50 -0.124856\n0.75 0.396408\nName: 4434, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5314594979616477, std values: 0.9283012417445153, min values: -2.564449278715455, max values: 3.1106274661862763, median values: 0.6097058315935825, and quantile values: 0.25 -0.099143\n0.50 0.609706\n0.75 1.238723\nName: 4435, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41661888670881364, std values: 1.126309365104873, min values: -3.0960472541202715, max values: 6.0, median values: -0.3541510779743104, and quantile values: 0.25 -1.115274\n0.50 -0.354151\n0.75 0.314398\nName: 4436, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12078065821284882, std values: 0.8540297490309315, min values: -2.264034258932616, max values: 3.163266084685921, median values: 0.1264260649479907, and quantile values: 0.25 -0.459293\n0.50 0.126426\n0.75 0.669209\nName: 4437, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20629227754974394, std values: 1.0190082591131402, min values: -2.4117054227788177, max values: 6.0, median values: 0.0697072960746018, and quantile values: 0.25 -0.552640\n0.50 0.069707\n0.75 0.921478\nName: 4438, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.1785882824293545, std values: 1.2125091841124842, min values: -3.0148736195915964, max values: 3.1395741599540568, median values: -1.3964752680078294, and quantile values: 0.25 -2.157584\n0.50 -1.396475\n0.75 -0.329276\nName: 4439, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.057976594043984225, std values: 1.3553609299106066, min values: -2.8350118695332047, max values: 5.0, median values: -0.0052468840655737, and quantile values: 0.25 -1.071760\n0.50 -0.005247\n0.75 1.004451\nName: 4440, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06376404072356597, std values: 0.8010040259955472, min values: -2.5689076212724418, max values: 5.0, median values: -0.1117396829772486, and quantile values: 0.25 -0.620821\n0.50 -0.111740\n0.75 0.449388\nName: 4441, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4248265834622163, std values: 0.9479831927508567, min values: -2.589966702820638, max values: 6.0, median values: 0.309074451904257, and quantile values: 0.25 -0.241563\n0.50 0.309074\n0.75 1.060583\nName: 4442, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0476229491424754, std values: 0.7635059700335549, min values: -2.169311742921253, max values: 6.0, median values: 0.0646143991317751, and quantile values: 0.25 -0.458951\n0.50 0.064614\n0.75 0.505565\nName: 4443, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4146146792564054, std values: 1.1140959590142123, min values: -2.174843621473063, max values: 3.3760121766849016, median values: 0.3993927954290744, and quantile values: 0.25 -0.456007\n0.50 0.399393\n0.75 1.255179\nName: 4444, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23504132757118135, std values: 1.3739009805030844, min values: -2.6660404517971856, max values: 4.0, median values: 0.3093091719316427, and quantile values: 0.25 -0.680987\n0.50 0.309309\n0.75 1.343792\nName: 4445, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14078846411383564, std values: 0.9061998305696325, min values: -2.5569229852416258, max values: 4.0, median values: 0.0795904226231316, and quantile values: 0.25 -0.515636\n0.50 0.079590\n0.75 0.793376\nName: 4446, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19060555341209365, std values: 0.7390152817036465, min values: -1.9563114409033424, max values: 4.026668017837955, median values: 0.2034702877589287, and quantile values: 0.25 -0.264105\n0.50 0.203470\n0.75 0.652048\nName: 4447, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24220542450394808, std values: 1.0150621476744468, min values: -2.240978518809748, max values: 5.0, median values: -0.3447835692663803, and quantile values: 0.25 -1.047142\n0.50 -0.344784\n0.75 0.448899\nName: 4448, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15783239422977804, std values: 0.8526640931099855, min values: -2.0446222759012818, max values: 4.0, median values: 0.2069946165269892, and quantile values: 0.25 -0.454256\n0.50 0.206995\n0.75 0.796164\nName: 4449, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20654646158187798, std values: 0.9208070080367544, min values: -2.4823451998031074, max values: 4.278004674434932, median values: 0.2759645970372596, and quantile values: 0.25 -0.289276\n0.50 0.275965\n0.75 0.767504\nName: 4450, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10826888535553061, std values: 0.837764965617251, min values: -2.3808324358856225, max values: 3.0, median values: -0.1545300415417434, and quantile values: 0.25 -0.706013\n0.50 -0.154530\n0.75 0.431263\nName: 4451, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1450992696202813, std values: 0.9503821533646708, min values: -2.981718296512785, max values: 5.0, median values: -0.0867749964791719, and quantile values: 0.25 -0.769539\n0.50 -0.086775\n0.75 0.516509\nName: 4452, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14187379913724318, std values: 0.8600082862746707, min values: -2.622408470084112, max values: 3.236860296211547, median values: -0.1161167496196683, and quantile values: 0.25 -0.611033\n0.50 -0.116117\n0.75 0.344345\nName: 4453, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1430664220732574, std values: 0.8794449798234419, min values: -2.119621483749997, max values: 3.0, median values: -0.1474548470371818, and quantile values: 0.25 -0.877445\n0.50 -0.147455\n0.75 0.482663\nName: 4454, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1387972009464691, std values: 1.0060713741483092, min values: -2.679056533720636, max values: 5.0, median values: -0.23255580323639, and quantile values: 0.25 -0.906300\n0.50 -0.232556\n0.75 0.562614\nName: 4455, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10711633632399385, std values: 0.7274911934531877, min values: -2.5689076212724418, max values: 5.0, median values: 0.1567879151550877, and quantile values: 0.25 -0.347620\n0.50 0.156788\n0.75 0.571054\nName: 4456, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09618760855314969, std values: 0.8043914331626104, min values: -2.7428415536925543, max values: 3.2906806286429298, median values: -0.0714843067327132, and quantile values: 0.25 -0.665596\n0.50 -0.071484\n0.75 0.444304\nName: 4457, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0765756552817025, std values: 0.8580065210498387, min values: -2.500127721682483, max values: 4.0, median values: -0.1194010055593636, and quantile values: 0.25 -0.714945\n0.50 -0.119401\n0.75 0.508164\nName: 4458, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12667388350657993, std values: 0.7725308589142603, min values: -2.475778245535816, max values: 3.05919958255637, median values: -0.2099169586841043, and quantile values: 0.25 -0.646811\n0.50 -0.209917\n0.75 0.336138\nName: 4459, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.527031318830417, std values: 1.0203348530593868, min values: -2.299460330888208, max values: 4.0, median values: 0.5266453352483811, and quantile values: 0.25 -0.205532\n0.50 0.526645\n0.75 1.261099\nName: 4460, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5671975946624835, std values: 0.7524901436451142, min values: -2.081148156296265, max values: 6.0, median values: -0.6474899824012796, and quantile values: 0.25 -1.098958\n0.50 -0.647490\n0.75 -0.152635\nName: 4461, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14145522897038323, std values: 0.8701996400723664, min values: -2.2423374092797945, max values: 3.4758930087721422, median values: 0.1625058868506721, and quantile values: 0.25 -0.470416\n0.50 0.162506\n0.75 0.711344\nName: 4462, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03931905417755103, std values: 0.7186203985169732, min values: -2.044138536277291, max values: 3.518664430018096, median values: 0.0578659098621737, and quantile values: 0.25 -0.432846\n0.50 0.057866\n0.75 0.498007\nName: 4463, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.00333470372690061, std values: 0.9570004874093256, min values: -2.657750824678472, max values: 5.0, median values: 0.0229973533768487, and quantile values: 0.25 -0.619919\n0.50 0.022997\n0.75 0.557682\nName: 4464, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16027298384322902, std values: 1.0935893197004125, min values: -2.589966702820638, max values: 6.0, median values: 0.1605508716185109, and quantile values: 0.25 -0.744525\n0.50 0.160551\n0.75 1.057587\nName: 4465, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.508569106417853, std values: 0.8511474078630904, min values: -2.1136270387555465, max values: 3.2936960268109283, median values: 0.6083323706489534, and quantile values: 0.25 -0.096012\n0.50 0.608332\n0.75 1.156198\nName: 4466, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44478444891629276, std values: 0.9968742721145119, min values: -2.2161166709808824, max values: 6.0, median values: 0.4372106994085409, and quantile values: 0.25 -0.314890\n0.50 0.437211\n0.75 1.217591\nName: 4467, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7227156571147426, std values: 0.9268121869893705, min values: -2.5953860446419177, max values: 3.784832159836258, median values: -0.8586574106654782, and quantile values: 0.25 -1.453143\n0.50 -0.858657\n0.75 -0.160525\nName: 4468, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4424863620554626, std values: 0.8969029423364889, min values: -2.841647375415054, max values: 5.0, median values: -0.5725132803392421, and quantile values: 0.25 -1.174789\n0.50 -0.572513\n0.75 0.154084\nName: 4469, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2113475352125132, std values: 1.464868874573037, min values: -2.6072570508709387, max values: 4.278004674434932, median values: 0.3189812804582081, and quantile values: 0.25 -0.645471\n0.50 0.318981\n0.75 1.253259\nName: 4470, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29399773619932784, std values: 0.8824507470218902, min values: -2.841647375415054, max values: 2.9245279250138942, median values: 0.383063516660245, and quantile values: 0.25 -0.153443\n0.50 0.383064\n0.75 0.855395\nName: 4471, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34709526286534886, std values: 0.8317134349311958, min values: -2.224455927274423, max values: 3.867701659180865, median values: -0.3631726853878549, and quantile values: 0.25 -0.935421\n0.50 -0.363173\n0.75 0.103734\nName: 4472, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06583459532028954, std values: 1.1530607313640397, min values: -2.862971749830789, max values: 3.215720519334646, median values: 0.1579310934911859, and quantile values: 0.25 -0.822583\n0.50 0.157931\n0.75 0.748893\nName: 4473, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1678519314522077, std values: 0.8846392630213378, min values: -2.6685266729136536, max values: 6.0, median values: -0.2523519177002558, and quantile values: 0.25 -0.795536\n0.50 -0.252352\n0.75 0.404261\nName: 4474, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.605993130772595, std values: 0.9548564428631472, min values: -2.5668911794391143, max values: 3.9905524164385566, median values: -0.7322593941215697, and quantile values: 0.25 -1.380120\n0.50 -0.732259\n0.75 0.005578\nName: 4475, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3128786187831311, std values: 0.9387558426349372, min values: -2.2464391129783325, max values: 3.438667023696733, median values: 0.3683495466916756, and quantile values: 0.25 -0.372272\n0.50 0.368350\n0.75 1.032014\nName: 4476, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.026205818252603128, std values: 1.0040682661258755, min values: -2.928515832252388, max values: 3.9905524164385566, median values: 0.0293060234333229, and quantile values: 0.25 -0.638704\n0.50 0.029306\n0.75 0.711926\nName: 4477, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5344151272666096, std values: 1.1858509052870987, min values: -2.6800544037614658, max values: 4.0, median values: -0.4927136975247606, and quantile values: 0.25 -1.599488\n0.50 -0.492714\n0.75 0.372200\nName: 4478, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1581461381613439, std values: 0.7768674011786126, min values: -2.6685266729136536, max values: 6.0, median values: -0.1788217638787689, and quantile values: 0.25 -0.650136\n0.50 -0.178822\n0.75 0.286050\nName: 4479, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21306407401238134, std values: 0.8615747887282329, min values: -2.275531026921315, max values: 6.0, median values: -0.3016456888504606, and quantile values: 0.25 -0.800420\n0.50 -0.301646\n0.75 0.285705\nName: 4480, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32431169044419406, std values: 0.8858542319828556, min values: -2.7542003929097176, max values: 5.0, median values: 0.3941764742876555, and quantile values: 0.25 -0.246354\n0.50 0.394176\n0.75 0.906826\nName: 4481, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5280031056526037, std values: 0.9147750481964684, min values: -2.212004168819108, max values: 3.867701659180865, median values: 0.4945940760684995, and quantile values: 0.25 -0.029926\n0.50 0.494594\n0.75 1.037068\nName: 4482, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3193924216051984, std values: 0.9859789501260559, min values: -2.580492024304656, max values: 3.438667023696733, median values: 0.4208336497353441, and quantile values: 0.25 -0.413747\n0.50 0.420834\n0.75 1.061952\nName: 4483, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12539312556163237, std values: 0.8614287339512461, min values: -2.58513369695146, max values: 4.0, median values: 0.2344090337070552, and quantile values: 0.25 -0.426320\n0.50 0.234409\n0.75 0.748268\nName: 4484, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4229879072619573, std values: 0.798032048424378, min values: -2.264034258932616, max values: 3.3483277116524426, median values: 0.4729403059303186, and quantile values: 0.25 -0.107001\n0.50 0.472940\n0.75 0.965971\nName: 4485, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.007248263468331021, std values: 0.7081782766906815, min values: -1.9987231088001387, max values: 4.0, median values: 0.0414034137363256, and quantile values: 0.25 -0.463183\n0.50 0.041403\n0.75 0.451245\nName: 4486, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30045957778380183, std values: 0.994489699435196, min values: -2.605844844843939, max values: 4.0, median values: -0.2506195305091416, and quantile values: 0.25 -1.005888\n0.50 -0.250620\n0.75 0.444031\nName: 4487, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.033779427766338146, std values: 0.8923879355929049, min values: -2.558791007225312, max values: 3.3337116327022187, median values: 0.0077049246900824, and quantile values: 0.25 -0.585540\n0.50 0.007705\n0.75 0.550847\nName: 4488, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3237652593288343, std values: 1.0733423292898356, min values: -2.879968592907284, max values: 4.0, median values: -0.2546212654574099, and quantile values: 0.25 -0.931121\n0.50 -0.254621\n0.75 0.360750\nName: 4489, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08335620854672879, std values: 0.86442312374802, min values: -2.5953860446419177, max values: 3.0, median values: -0.0943943970845843, and quantile values: 0.25 -0.572676\n0.50 -0.094394\n0.75 0.460412\nName: 4490, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.037050924181687095, std values: 0.7976079087601629, min values: -2.119639300682046, max values: 3.867701659180865, median values: -0.0610650478377227, and quantile values: 0.25 -0.575497\n0.50 -0.061065\n0.75 0.435755\nName: 4491, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16504701184781997, std values: 0.7343780437765067, min values: -2.105967784650795, max values: 4.0, median values: -0.181819963943756, and quantile values: 0.25 -0.678754\n0.50 -0.181820\n0.75 0.275965\nName: 4492, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4978096426084673, std values: 0.8755302564351107, min values: -2.7648443048846945, max values: 3.5908526919299577, median values: 0.4298112223614389, and quantile values: 0.25 -0.103346\n0.50 0.429811\n0.75 1.111169\nName: 4493, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2662422935390625, std values: 0.832615126188919, min values: -2.576018450691392, max values: 4.0, median values: -0.2590669965424225, and quantile values: 0.25 -0.779912\n0.50 -0.259067\n0.75 0.235867\nName: 4494, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37057490337051824, std values: 0.9839542112640356, min values: -2.5122218748354936, max values: 3.0, median values: -0.3147565541467397, and quantile values: 0.25 -1.048954\n0.50 -0.314757\n0.75 0.343575\nName: 4495, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.028172102170360515, std values: 0.8910263767800408, min values: -2.673549169958716, max values: 6.0, median values: 0.0089779366644022, and quantile values: 0.25 -0.540298\n0.50 0.008978\n0.75 0.614372\nName: 4496, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11081207948489939, std values: 1.642785778364003, min values: -2.879968592907284, max values: 4.0, median values: -0.0511910512768444, and quantile values: 0.25 -1.725103\n0.50 -0.051191\n0.75 1.316375\nName: 4497, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1471731857864335, std values: 0.8181921212387793, min values: -2.046407181704428, max values: 6.0, median values: -0.2331783199968568, and quantile values: 0.25 -0.728587\n0.50 -0.233178\n0.75 0.382326\nName: 4498, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07024615679056738, std values: 0.9729217879726032, min values: -2.608390851963037, max values: 5.0, median values: -0.0183697548972534, and quantile values: 0.25 -0.657423\n0.50 -0.018370\n0.75 0.494393\nName: 4499, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5251938745341129, std values: 1.2980939386819281, min values: -2.6800544037614658, max values: 4.0, median values: 0.7770029543828443, and quantile values: 0.25 -0.218770\n0.50 0.777003\n0.75 1.558121\nName: 4500, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1357571417573175, std values: 0.8636081679212583, min values: -2.590643619371846, max values: 4.0, median values: -0.0914753149566517, and quantile values: 0.25 -0.688367\n0.50 -0.091475\n0.75 0.416358\nName: 4501, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.005815347165275904, std values: 0.8150183296250547, min values: -3.215720519334632, max values: 3.9905524164385566, median values: 0.0512731183424442, and quantile values: 0.25 -0.542121\n0.50 0.051273\n0.75 0.545851\nName: 4502, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.049118819281365654, std values: 0.9658129020639629, min values: -2.679056533720636, max values: 5.0, median values: 0.2169288675291856, and quantile values: 0.25 -0.533545\n0.50 0.216929\n0.75 0.710401\nName: 4503, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11598684876169037, std values: 0.8862340709793813, min values: -2.618746139350171, max values: 3.0, median values: 0.2309433374162662, and quantile values: 0.25 -0.405032\n0.50 0.230943\n0.75 0.696154\nName: 4504, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20283975073355948, std values: 0.7892384677385159, min values: -2.090799501270592, max values: 4.026668017837955, median values: 0.24637816928733, and quantile values: 0.25 -0.336513\n0.50 0.246378\n0.75 0.730684\nName: 4505, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13343190464021296, std values: 0.8596013437804582, min values: -2.419133598913117, max values: 3.0, median values: 0.2316787734092856, and quantile values: 0.25 -0.451821\n0.50 0.231679\n0.75 0.742246\nName: 4506, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0727262409094313, std values: 0.8299910012874936, min values: -2.261100711934107, max values: 3.1047159712539405, median values: -0.0959563217975576, and quantile values: 0.25 -0.626981\n0.50 -0.095956\n0.75 0.487497\nName: 4507, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27659300365779066, std values: 0.8397592148187228, min values: -2.4657737907743, max values: 3.477886732511886, median values: 0.2180366300249293, and quantile values: 0.25 -0.285762\n0.50 0.218037\n0.75 0.824632\nName: 4508, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1307762897798705, std values: 0.8614068645485592, min values: -2.475778245535816, max values: 4.0, median values: -0.1302865275998454, and quantile values: 0.25 -0.757266\n0.50 -0.130287\n0.75 0.427324\nName: 4509, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.267427164901643, std values: 0.9136574734485697, min values: -2.673549169958716, max values: 6.0, median values: -0.3310408541554285, and quantile values: 0.25 -0.939652\n0.50 -0.331041\n0.75 0.351081\nName: 4510, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.008093173903803912, std values: 0.7742198782773516, min values: -2.5689076212724418, max values: 5.0, median values: 0.0471919818081074, and quantile values: 0.25 -0.535317\n0.50 0.047192\n0.75 0.519477\nName: 4511, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15895633888942026, std values: 0.7915164758414878, min values: -2.1548749249906303, max values: 5.0, median values: -0.1347155992853987, and quantile values: 0.25 -0.738547\n0.50 -0.134716\n0.75 0.371505\nName: 4512, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17952382906264217, std values: 0.8632320884961625, min values: -2.8531572940820533, max values: 3.627976272701048, median values: -0.2194751460653067, and quantile values: 0.25 -0.781069\n0.50 -0.219475\n0.75 0.346362\nName: 4513, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28319003772256, std values: 0.7583423797767262, min values: -2.6278943940336483, max values: 4.0, median values: 0.2989833394734004, and quantile values: 0.25 -0.171622\n0.50 0.298983\n0.75 0.771577\nName: 4514, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14925846449205732, std values: 0.9414920458508136, min values: -2.299460330888208, max values: 4.0, median values: 0.0829608579029197, and quantile values: 0.25 -0.561936\n0.50 0.082961\n0.75 0.785501\nName: 4515, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2926850468802473, std values: 0.8590869111652357, min values: -2.3184884946917497, max values: 6.0, median values: 0.3611971153020885, and quantile values: 0.25 -0.300222\n0.50 0.361197\n0.75 0.873112\nName: 4516, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47512261086628294, std values: 0.8738951005250013, min values: -2.069213147559466, max values: 6.0, median values: 0.5641545914991178, and quantile values: 0.25 -0.154614\n0.50 0.564155\n0.75 1.141772\nName: 4517, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04053797660462641, std values: 1.0197604844693748, min values: -2.5859127503381347, max values: 3.103622965243153, median values: 0.0173485964840921, and quantile values: 0.25 -0.723756\n0.50 0.017349\n0.75 0.795422\nName: 4518, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3798424765828608, std values: 0.8792704963209917, min values: -2.536941606705235, max values: 4.0, median values: -0.5278162243452637, and quantile values: 0.25 -1.023886\n0.50 -0.527816\n0.75 0.155956\nName: 4519, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 1.4028759338697627, std values: 0.9815055913675905, min values: -1.8682825450248388, max values: 4.0, median values: 1.5120800765755675, and quantile values: 0.25 0.720718\n0.50 1.512080\n0.75 2.174059\nName: 4520, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5585080015662848, std values: 1.0706968201119909, min values: -2.815821936576896, max values: 3.2701555622463814, median values: -0.5249538045848259, and quantile values: 0.25 -1.189913\n0.50 -0.524954\n0.75 0.104845\nName: 4521, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.027082388410062146, std values: 1.085919263348527, min values: -2.2012167772695554, max values: 6.0, median values: -0.0016798988867285, and quantile values: 0.25 -0.868692\n0.50 -0.001680\n0.75 0.902343\nName: 4522, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.564969267760633, std values: 0.7702975314267118, min values: -3.066111439712689, max values: 4.278004674434932, median values: 0.6122900849384035, and quantile values: 0.25 0.106343\n0.50 0.612290\n0.75 1.061578\nName: 4523, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23081051075177184, std values: 1.223307066753168, min values: -2.6404955031131814, max values: 5.0, median values: 0.2427539632429896, and quantile values: 0.25 -0.595782\n0.50 0.242754\n0.75 1.135034\nName: 4524, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.399541745290436, std values: 1.0842672475624755, min values: -2.778044916685896, max values: 3.5427287984042666, median values: -0.5437110912798846, and quantile values: 0.25 -1.092633\n0.50 -0.543711\n0.75 0.161083\nName: 4525, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6116415651792301, std values: 1.1409098522307852, min values: -2.6820581866633817, max values: 3.627976272701048, median values: -0.5090155956933459, and quantile values: 0.25 -1.620822\n0.50 -0.509016\n0.75 0.198068\nName: 4526, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2994209363212166, std values: 0.7782603275640031, min values: -2.6115251494731915, max values: 5.0, median values: 0.2734479484335916, and quantile values: 0.25 -0.191204\n0.50 0.273448\n0.75 0.788304\nName: 4527, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4388673395588387, std values: 0.973742134360145, min values: -1.9934734841108936, max values: 5.0, median values: 0.5205102979677194, and quantile values: 0.25 -0.286887\n0.50 0.520510\n0.75 1.206740\nName: 4528, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.010603684475001398, std values: 0.9093960295821499, min values: -2.6320986139293034, max values: 3.124705982383484, median values: -0.0282706326730164, and quantile values: 0.25 -0.546843\n0.50 -0.028271\n0.75 0.590428\nName: 4529, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17990430918300593, std values: 0.9339056238803823, min values: -2.6404955031131814, max values: 5.0, median values: 0.253498418859403, and quantile values: 0.25 -0.328920\n0.50 0.253498\n0.75 0.755800\nName: 4530, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.011400489097188353, std values: 0.8175889169972388, min values: -2.0763692711860644, max values: 4.0, median values: -0.0017962233052929, and quantile values: 0.25 -0.580839\n0.50 -0.001796\n0.75 0.551067\nName: 4531, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09553829933693539, std values: 0.858993812911325, min values: -2.5953860446419177, max values: 3.090297571450676, median values: -0.0430021171338595, and quantile values: 0.25 -0.499327\n0.50 -0.043002\n0.75 0.435339\nName: 4532, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37344745980931376, std values: 0.897371596324778, min values: -2.073997500902293, max values: 3.215720519334646, median values: -0.4102696179233736, and quantile values: 0.25 -1.097649\n0.50 -0.410270\n0.75 0.254542\nName: 4533, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.004003228138262014, std values: 0.8048154540256102, min values: -1.9481643773937056, max values: 3.5021977227593246, median values: -0.0679090265754045, and quantile values: 0.25 -0.602954\n0.50 -0.067909\n0.75 0.516995\nName: 4534, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36693532916230776, std values: 0.8552803271231155, min values: -2.594046129889004, max values: 5.0, median values: -0.4432405685448953, and quantile values: 0.25 -0.974819\n0.50 -0.443241\n0.75 0.161222\nName: 4535, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12133248392716997, std values: 0.7146816510372582, min values: -2.564449278715455, max values: 3.0046625681201315, median values: -0.2243634671139432, and quantile values: 0.25 -0.614344\n0.50 -0.224363\n0.75 0.340841\nName: 4536, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12528241141327728, std values: 0.9337281073804002, min values: -2.419133598913117, max values: 3.2701555622463814, median values: 0.1977791473135782, and quantile values: 0.25 -0.600870\n0.50 0.197779\n0.75 0.879387\nName: 4537, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19916595752961078, std values: 0.847229505710013, min values: -2.6117120822772133, max values: 5.0, median values: -0.3132982835737194, and quantile values: 0.25 -0.802214\n0.50 -0.313298\n0.75 0.346713\nName: 4538, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.046242539077628035, std values: 0.8569732046449705, min values: -2.1323052317104474, max values: 4.0, median values: -0.0997135250531452, and quantile values: 0.25 -0.629975\n0.50 -0.099714\n0.75 0.475066\nName: 4539, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4320015707334545, std values: 0.7474399950420649, min values: -2.8121055320525654, max values: 5.0, median values: -0.5199420557411829, and quantile values: 0.25 -0.927897\n0.50 -0.519942\n0.75 -0.044904\nName: 4540, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12275407749954756, std values: 0.7735307339534758, min values: -2.3344113078233786, max values: 3.0, median values: -0.1874741146446683, and quantile values: 0.25 -0.670623\n0.50 -0.187474\n0.75 0.377265\nName: 4541, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11846536692028328, std values: 0.8729923917197512, min values: -2.2915911556076085, max values: 3.477886732511886, median values: -0.2311978972584388, and quantile values: 0.25 -0.762098\n0.50 -0.231198\n0.75 0.444456\nName: 4542, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22646748907840922, std values: 0.9107773574063276, min values: -2.739804196611005, max values: 6.0, median values: -0.1373452725012935, and quantile values: 0.25 -0.782602\n0.50 -0.137345\n0.75 0.340368\nName: 4543, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.147025319925582, std values: 0.8641889770979615, min values: -2.3771558481240653, max values: 4.0, median values: 0.2055880376737971, and quantile values: 0.25 -0.492527\n0.50 0.205588\n0.75 0.761846\nName: 4544, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22157854351250172, std values: 0.9744155513043274, min values: -2.0893830184081783, max values: 5.0, median values: 0.2719902295053203, and quantile values: 0.25 -0.506191\n0.50 0.271990\n0.75 0.994828\nName: 4545, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10544452831435698, std values: 1.1136884210855067, min values: -2.6278943940336483, max values: 4.0, median values: -0.0709732706203316, and quantile values: 0.25 -0.988788\n0.50 -0.070973\n0.75 0.728452\nName: 4546, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.027151107267865852, std values: 0.7705360965575461, min values: -2.0843248697539374, max values: 4.0, median values: 0.0099143151178757, and quantile values: 0.25 -0.549979\n0.50 0.009914\n0.75 0.462648\nName: 4547, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2095895308602791, std values: 0.7856824235198323, min values: -1.982805455424164, max values: 2.633150741644612, median values: 0.2930561472199118, and quantile values: 0.25 -0.315063\n0.50 0.293056\n0.75 0.783508\nName: 4548, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11378580643724204, std values: 1.310600296549271, min values: -2.8164291268114208, max values: 3.784832159836258, median values: -0.1341598131430385, and quantile values: 0.25 -1.215917\n0.50 -0.134160\n0.75 0.908212\nName: 4549, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1276047551951142, std values: 0.8314779447524331, min values: -2.8327898928872086, max values: 4.0, median values: -0.0546938653082908, and quantile values: 0.25 -0.574159\n0.50 -0.054694\n0.75 0.385024\nName: 4550, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.029861595550751314, std values: 0.8268099858377537, min values: -2.196708653609315, max values: 6.0, median values: -0.1056058585736646, and quantile values: 0.25 -0.594484\n0.50 -0.105606\n0.75 0.498568\nName: 4551, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01814922093512014, std values: 0.8344923370644994, min values: -2.1232100101643527, max values: 6.0, median values: 0.0554098992797187, and quantile values: 0.25 -0.597085\n0.50 0.055410\n0.75 0.623877\nName: 4552, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09000797670907751, std values: 0.8540457414046082, min values: -2.0806681251243795, max values: 3.784832159836258, median values: 0.0180667721758587, and quantile values: 0.25 -0.485480\n0.50 0.018067\n0.75 0.613231\nName: 4553, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3784131870936122, std values: 1.076971687908157, min values: -3.21990804472754, max values: 5.0, median values: -0.2953567354024632, and quantile values: 0.25 -1.034038\n0.50 -0.295357\n0.75 0.326109\nName: 4554, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4724328061765867, std values: 1.1076699985443323, min values: -2.521882829270847, max values: 4.0, median values: 0.4907868159525694, and quantile values: 0.25 -0.320509\n0.50 0.490787\n0.75 1.397604\nName: 4555, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6089163096696754, std values: 0.9278408343674331, min values: -2.605844844843939, max values: 4.0, median values: -0.6998779710969394, and quantile values: 0.25 -1.322641\n0.50 -0.699878\n0.75 -0.004764\nName: 4556, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35581821204904207, std values: 1.0903741102963032, min values: -2.9622221028070275, max values: 6.0, median values: -0.3559366293621159, and quantile values: 0.25 -1.003578\n0.50 -0.355937\n0.75 0.404225\nName: 4557, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.508868883700186, std values: 0.8533859920629427, min values: -2.372995607737588, max values: 5.0, median values: 0.5694662453952587, and quantile values: 0.25 -0.081226\n0.50 0.569466\n0.75 1.177061\nName: 4558, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19360266198112985, std values: 1.0162483826406281, min values: -2.510124273981921, max values: 3.260388056018088, median values: 0.1958093473948266, and quantile values: 0.25 -0.319726\n0.50 0.195809\n0.75 0.813962\nName: 4559, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14907984940531202, std values: 0.8408431885682238, min values: -2.264034258932616, max values: 3.5908526919299577, median values: 0.1040658176250006, and quantile values: 0.25 -0.422435\n0.50 0.104066\n0.75 0.701286\nName: 4560, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0041081026652875635, std values: 0.9450922991116167, min values: -2.110869107491898, max values: 5.0, median values: -0.0202152325456731, and quantile values: 0.25 -0.696477\n0.50 -0.020215\n0.75 0.559699\nName: 4561, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1568918900315395, std values: 0.8028909040209973, min values: -2.72346435408924, max values: 4.0, median values: 0.2436049359717968, and quantile values: 0.25 -0.389251\n0.50 0.243605\n0.75 0.722433\nName: 4562, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.029569297841231645, std values: 0.9227226294659681, min values: -2.57895707818966, max values: 6.0, median values: -0.0352851805949265, and quantile values: 0.25 -0.559450\n0.50 -0.035285\n0.75 0.638182\nName: 4563, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5114518231888604, std values: 0.8200923307112742, min values: -2.5201815750705507, max values: 4.0, median values: -0.5937509157811703, and quantile values: 0.25 -1.046380\n0.50 -0.593751\n0.75 -0.017075\nName: 4564, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10610840380656879, std values: 1.0415248929702388, min values: -2.5293911731823453, max values: 3.2701555622463814, median values: 0.1256058318342468, and quantile values: 0.25 -0.461085\n0.50 0.125606\n0.75 0.823202\nName: 4565, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38969323640681314, std values: 0.8364256996419589, min values: -2.15085577507779, max values: 4.0, median values: 0.3452804507065511, and quantile values: 0.25 -0.149834\n0.50 0.345280\n0.75 0.935677\nName: 4566, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07470635142921, std values: 0.9223924244541076, min values: -2.605844844843939, max values: 4.0, median values: 0.0066649796042546, and quantile values: 0.25 -0.774176\n0.50 0.006665\n0.75 0.516590\nName: 4567, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6187610476187902, std values: 0.8512860222371811, min values: -3.071284484560209, max values: 3.9905524164385566, median values: -0.788077879662097, and quantile values: 0.25 -1.242769\n0.50 -0.788078\n0.75 -0.112976\nName: 4568, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5336532491732827, std values: 1.0112311649167465, min values: -2.124562785567106, max values: 5.0, median values: 0.6108006312306186, and quantile values: 0.25 -0.146592\n0.50 0.610801\n0.75 1.187067\nName: 4569, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7736123473573867, std values: 1.8021426785676111, min values: -3.0148736195915964, max values: 4.026668017837955, median values: -1.7085355921418477, and quantile values: 0.25 -2.250149\n0.50 -1.708536\n0.75 0.676940\nName: 4570, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16576124554513932, std values: 0.7988520461569597, min values: -2.0397470924909658, max values: 4.0, median values: -0.2543425395481491, and quantile values: 0.25 -0.737554\n0.50 -0.254343\n0.75 0.333029\nName: 4571, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06438281132743258, std values: 1.0152406880005886, min values: -2.196708653609315, max values: 6.0, median values: -0.0593811197298091, and quantile values: 0.25 -0.778314\n0.50 -0.059381\n0.75 0.750826\nName: 4572, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10030246615113819, std values: 0.809056133303212, min values: -2.2477784840641744, max values: 4.0, median values: 0.1367445732077378, and quantile values: 0.25 -0.426185\n0.50 0.136745\n0.75 0.572154\nName: 4573, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38797435454856743, std values: 0.9158013564909825, min values: -2.5544460869462697, max values: 4.0, median values: 0.3195035521871793, and quantile values: 0.25 -0.205980\n0.50 0.319504\n0.75 0.983523\nName: 4574, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10353961252983836, std values: 0.9786836417403317, min values: -2.4788285026914285, max values: 4.0, median values: 0.0419546786095137, and quantile values: 0.25 -0.677148\n0.50 0.041955\n0.75 0.804694\nName: 4575, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4965305499745096, std values: 0.9957623795931576, min values: -2.111645660675125, max values: 6.0, median values: 0.4978552696597675, and quantile values: 0.25 -0.232216\n0.50 0.497855\n0.75 1.218067\nName: 4576, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06779472787604134, std values: 0.7868890323953511, min values: -2.919359491767569, max values: 6.0, median values: -0.1459633875112518, and quantile values: 0.25 -0.609926\n0.50 -0.145963\n0.75 0.427074\nName: 4577, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.583821078504642, std values: 1.0480992439627104, min values: -2.414039489297912, max values: 6.0, median values: 0.6070815548591982, and quantile values: 0.25 -0.210545\n0.50 0.607082\n0.75 1.428558\nName: 4578, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23832675615921395, std values: 1.0546969736993206, min values: -2.0801885729223746, max values: 3.784832159836258, median values: 0.249936076840421, and quantile values: 0.25 -0.548319\n0.50 0.249936\n0.75 0.888720\nName: 4579, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6215283146429795, std values: 0.9716600658884861, min values: -2.299460330888208, max values: 4.0, median values: 0.6531457262220596, and quantile values: 0.25 -0.096911\n0.50 0.653146\n0.75 1.412188\nName: 4580, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03186871341396658, std values: 0.9121389769896346, min values: -2.981718296512785, max values: 5.0, median values: 0.084342649841431, and quantile values: 0.25 -0.575999\n0.50 0.084343\n0.75 0.652763\nName: 4581, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43961398682285746, std values: 1.1397139928832962, min values: -2.6800544037614658, max values: 4.0, median values: 0.5227307611263772, and quantile values: 0.25 -0.214824\n0.50 0.522731\n0.75 1.310608\nName: 4582, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07394877402600597, std values: 1.0442122490411598, min values: -2.891990595045606, max values: 6.0, median values: 0.0210126206521948, and quantile values: 0.25 -0.680344\n0.50 0.021013\n0.75 0.724400\nName: 4583, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07126845415796472, std values: 0.9658607463525444, min values: -2.6466193392086392, max values: 4.278004674434932, median values: -0.0762475554767218, and quantile values: 0.25 -0.613573\n0.50 -0.076248\n0.75 0.581756\nName: 4584, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11085787173193057, std values: 1.0510632734983878, min values: -2.5156802245814003, max values: 4.0, median values: -0.1292428916780194, and quantile values: 0.25 -0.978322\n0.50 -0.129243\n0.75 0.620893\nName: 4585, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14216106899709585, std values: 1.148523893591424, min values: -2.982771139679002, max values: 4.0, median values: 0.0718015578924018, and quantile values: 0.25 -0.733668\n0.50 0.071802\n0.75 1.034079\nName: 4586, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34454488848613574, std values: 1.0630708429154792, min values: -2.0545210191658487, max values: 5.0, median values: 0.2916924400323039, and quantile values: 0.25 -0.423577\n0.50 0.291692\n0.75 1.060385\nName: 4587, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13786078993528111, std values: 0.767550727957728, min values: -2.475778245535816, max values: 4.0, median values: 0.1996352895324749, and quantile values: 0.25 -0.393129\n0.50 0.199635\n0.75 0.685525\nName: 4588, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17372114883337805, std values: 0.9827570424691244, min values: -2.93129584560762, max values: 6.0, median values: -0.1272992149519292, and quantile values: 0.25 -0.700687\n0.50 -0.127299\n0.75 0.444295\nName: 4589, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26164988386027216, std values: 0.9380396106449855, min values: -2.572123985342288, max values: 5.0, median values: -0.3413661563230862, and quantile values: 0.25 -0.976531\n0.50 -0.341366\n0.75 0.375905\nName: 4590, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4193281998816423, std values: 0.8652441907347995, min values: -2.838932175687192, max values: 4.0, median values: -0.5231372220858826, and quantile values: 0.25 -1.085592\n0.50 -0.523137\n0.75 0.132298\nName: 4591, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25476495987423975, std values: 0.9875977410167105, min values: -3.1386665508340674, max values: 3.5908526919299577, median values: 0.3484931264799351, and quantile values: 0.25 -0.362579\n0.50 0.348493\n0.75 1.002264\nName: 4592, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.014406653644338277, std values: 0.845751422255729, min values: -2.056906079470324, max values: 3.721862465295849, median values: -0.0091703162602651, and quantile values: 0.25 -0.600389\n0.50 -0.009170\n0.75 0.514781\nName: 4593, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.166005169405571, std values: 0.7875457469417004, min values: -2.39180940730784, max values: 4.0, median values: -0.2684769244845681, and quantile values: 0.25 -0.713950\n0.50 -0.268477\n0.75 0.325653\nName: 4594, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2363621976920883, std values: 1.0636596862494214, min values: -2.3181412604461005, max values: 3.3636961113187773, median values: 0.2984650134751835, and quantile values: 0.25 -0.629485\n0.50 0.298465\n0.75 1.080706\nName: 4595, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5682697528716163, std values: 0.7855360778089137, min values: -2.525881048269423, max values: 3.5581019918925243, median values: 0.649901994144346, and quantile values: 0.25 0.053093\n0.50 0.649902\n0.75 1.122235\nName: 4596, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43108445622873215, std values: 0.9341920348665256, min values: -2.6800544037614658, max values: 4.0, median values: -0.4597919258785544, and quantile values: 0.25 -1.091133\n0.50 -0.459792\n0.75 0.130104\nName: 4597, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4091272527390222, std values: 0.8940636254947005, min values: -2.5551877969887378, max values: 3.5581019918925243, median values: -0.5264238969360414, and quantile values: 0.25 -1.092883\n0.50 -0.526424\n0.75 0.171094\nName: 4598, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04292265432834624, std values: 0.8255968660932684, min values: -2.0271217109746607, max values: 3.598076523509904, median values: 0.0531790550811755, and quantile values: 0.25 -0.550077\n0.50 0.053179\n0.75 0.609441\nName: 4599, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28957347009319073, std values: 0.9121861784203877, min values: -2.558791007225312, max values: 3.0, median values: -0.3890902245651235, and quantile values: 0.25 -0.982373\n0.50 -0.389090\n0.75 0.358305\nName: 4600, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1381601638882285, std values: 0.7951591179976616, min values: -2.0131371991989395, max values: 3.319774799707247, median values: 0.1974939671667047, and quantile values: 0.25 -0.410839\n0.50 0.197494\n0.75 0.663467\nName: 4601, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6974989781322046, std values: 0.9347423458776404, min values: -2.6899145007874274, max values: 4.278004674434932, median values: -0.8625727829692935, and quantile values: 0.25 -1.379262\n0.50 -0.862573\n0.75 -0.192094\nName: 4602, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.025934447743510874, std values: 0.9951928450832921, min values: -2.5445249319512966, max values: 3.569037956734876, median values: -0.1303537828817908, and quantile values: 0.25 -0.726955\n0.50 -0.130354\n0.75 0.561607\nName: 4603, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19919848722579755, std values: 0.7616917064201458, min values: -2.507084845405409, max values: 3.438667023696733, median values: 0.2310822065543977, and quantile values: 0.25 -0.313154\n0.50 0.231082\n0.75 0.702121\nName: 4604, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23090671603275167, std values: 0.7668741249906333, min values: -2.4788285026914285, max values: 4.0, median values: -0.3257604803320477, and quantile values: 0.25 -0.770465\n0.50 -0.325760\n0.75 0.244819\nName: 4605, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2439142135788493, std values: 0.8841893459119228, min values: -2.572123985342288, max values: 5.0, median values: 0.2732764219870236, and quantile values: 0.25 -0.263456\n0.50 0.273276\n0.75 0.789949\nName: 4606, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18372079566338914, std values: 0.9307304332985726, min values: -2.0207160942359104, max values: 3.5581019918925243, median values: 0.0887101836454432, and quantile values: 0.25 -0.532253\n0.50 0.088710\n0.75 0.847010\nName: 4607, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3870513213874796, std values: 0.7351560350627105, min values: -2.0141403968073863, max values: 2.9534763778843827, median values: -0.4593453886730282, and quantile values: 0.25 -0.886708\n0.50 -0.459345\n0.75 0.056927\nName: 4608, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3038753689765208, std values: 0.9146798381424438, min values: -2.5668911794391143, max values: 3.5021977227593246, median values: -0.4427848866823974, and quantile values: 0.25 -0.971935\n0.50 -0.442785\n0.75 0.232296\nName: 4609, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01302353226807032, std values: 0.7903715746146769, min values: -2.687115288423959, max values: 5.0, median values: 0.0562561448516573, and quantile values: 0.25 -0.522893\n0.50 0.056256\n0.75 0.501501\nName: 4610, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10743562013761794, std values: 0.9162464848920141, min values: -2.542889966859849, max values: 6.0, median values: 0.1494040754833548, and quantile values: 0.25 -0.571054\n0.50 0.149404\n0.75 0.726586\nName: 4611, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06972866767282136, std values: 0.8261312395934167, min values: -2.0923235737594785, max values: 4.0, median values: -0.0377769214274891, and quantile values: 0.25 -0.669209\n0.50 -0.037777\n0.75 0.501872\nName: 4612, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1477283033076619, std values: 0.842017362666796, min values: -2.4902145713898545, max values: 3.0651860794139534, median values: -0.1459794690268578, and quantile values: 0.25 -0.676969\n0.50 -0.145979\n0.75 0.359052\nName: 4613, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1905681776864348, std values: 0.9784850535154197, min values: -2.1291003387336107, max values: 6.0, median values: 0.2593603007169538, and quantile values: 0.25 -0.550716\n0.50 0.259360\n0.75 0.967553\nName: 4614, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14919078968896385, std values: 0.8373952649083015, min values: -2.576018450691392, max values: 4.0, median values: -0.1612223740015163, and quantile values: 0.25 -0.624833\n0.50 -0.161222\n0.75 0.378413\nName: 4615, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08110451161765293, std values: 1.0385744887719677, min values: -2.506827530467421, max values: 4.0, median values: -0.1992353299995805, and quantile values: 0.25 -0.871992\n0.50 -0.199235\n0.75 0.582339\nName: 4616, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26554883656407696, std values: 0.7980101732789351, min values: -2.0207160942359104, max values: 3.5908526919299577, median values: -0.4133268342861377, and quantile values: 0.25 -0.830411\n0.50 -0.413327\n0.75 0.205757\nName: 4617, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2636918212869207, std values: 0.9189642581589031, min values: -2.1660917934851063, max values: 3.2071942083719924, median values: -0.3105227255037767, and quantile values: 0.25 -1.006084\n0.50 -0.310523\n0.75 0.385506\nName: 4618, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08217151347712572, std values: 0.8967875172712098, min values: -2.0872380656635823, max values: 5.0, median values: 0.1123818339189041, and quantile values: 0.25 -0.570244\n0.50 0.112382\n0.75 0.713701\nName: 4619, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6093915514927, std values: 0.9861974943747865, min values: -2.5422910691068967, max values: 3.9905524164385566, median values: 0.6805177850725618, and quantile values: 0.25 -0.020298\n0.50 0.680518\n0.75 1.280051\nName: 4620, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.754985602457905, std values: 1.0416148421176197, min values: -2.1227739687253626, max values: 3.518664430018096, median values: 0.7956869412876124, and quantile values: 0.25 0.082626\n0.50 0.795687\n0.75 1.491208\nName: 4621, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14702522372870336, std values: 1.0460554138025513, min values: -2.5569229852416258, max values: 4.0, median values: 0.1146212562561317, and quantile values: 0.25 -0.605830\n0.50 0.114621\n0.75 0.817303\nName: 4622, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45759864530006744, std values: 1.078120525259803, min values: -3.00972886875607, max values: 3.397048482165858, median values: -0.3808008929460956, and quantile values: 0.25 -1.060578\n0.50 -0.380801\n0.75 0.233546\nName: 4623, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3250976088381669, std values: 0.8111770955795483, min values: -1.9587474123989488, max values: 5.0, median values: -0.4670353024287316, and quantile values: 0.25 -0.907611\n0.50 -0.467035\n0.75 0.167587\nName: 4624, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44304910032821737, std values: 1.274580945765561, min values: -2.841647375415054, max values: 3.312693232344632, median values: 0.383088950521292, and quantile values: 0.25 -0.511959\n0.50 0.383089\n0.75 1.540923\nName: 4625, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23492224760239447, std values: 0.7133066466645238, min values: -2.100754849305273, max values: 3.2266531185902125, median values: -0.235259367813607, and quantile values: 0.25 -0.713452\n0.50 -0.235259\n0.75 0.217364\nName: 4626, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.48320227648492986, std values: 1.0447012561476334, min values: -2.837386543755612, max values: 4.0, median values: -0.5085582895223881, and quantile values: 0.25 -1.151818\n0.50 -0.508558\n0.75 0.184396\nName: 4627, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4569832010038003, std values: 1.0859971815923002, min values: -2.493376658893128, max values: 4.243835016543704, median values: 0.4675290082246218, and quantile values: 0.25 -0.347561\n0.50 0.467529\n0.75 1.335676\nName: 4628, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.027586038118207364, std values: 0.7554645416178287, min values: -2.27710446206836, max values: 3.784832159836258, median values: 0.0127866153374465, and quantile values: 0.25 -0.483655\n0.50 0.012787\n0.75 0.491525\nName: 4629, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3265443251246248, std values: 0.8426807908872437, min values: -2.4823451998031074, max values: 3.247416277295021, median values: -0.39637419587202, and quantile values: 0.25 -0.844373\n0.50 -0.396374\n0.75 0.206826\nName: 4630, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14294086339093592, std values: 0.8308900338365831, min values: -1.991658237005836, max values: 3.1801075704642923, median values: 0.2130347543324245, and quantile values: 0.25 -0.469850\n0.50 0.213035\n0.75 0.769910\nName: 4631, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.058101582700441814, std values: 0.7752059173190803, min values: -1.990286087074009, max values: 3.397048482165858, median values: -0.1531573990374097, and quantile values: 0.25 -0.609407\n0.50 -0.153157\n0.75 0.452252\nName: 4632, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12104624912085443, std values: 1.0715321418673738, min values: -2.623568901859613, max values: 4.0, median values: -0.1445780451542549, and quantile values: 0.25 -0.917863\n0.50 -0.144578\n0.75 0.662061\nName: 4633, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32238945210336306, std values: 1.1411564780029249, min values: -2.525881048269423, max values: 3.709787027503053, median values: 0.1076024702977333, and quantile values: 0.25 -0.555392\n0.50 0.107602\n0.75 1.121554\nName: 4634, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.028630812713538005, std values: 0.9908876745828343, min values: -2.9898739724800576, max values: 3.455472209455805, median values: -0.1311685085738945, and quantile values: 0.25 -0.820499\n0.50 -0.131169\n0.75 0.686640\nName: 4635, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09749097404519491, std values: 1.3237253096885502, min values: -2.6800544037614658, max values: 4.0, median values: 0.1981679717724739, and quantile values: 0.25 -1.207759\n0.50 0.198168\n0.75 0.919197\nName: 4636, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.006407384922085199, std values: 0.9809792769823593, min values: -2.4176069991382847, max values: 6.0, median values: -0.1290485021532355, and quantile values: 0.25 -0.741549\n0.50 -0.129049\n0.75 0.674663\nName: 4637, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16221607604480048, std values: 0.9746184372198357, min values: -2.4536054974529624, max values: 6.0, median values: -0.3040845167097625, and quantile values: 0.25 -0.920532\n0.50 -0.304085\n0.75 0.454266\nName: 4638, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15742657827656675, std values: 0.9442214783561932, min values: -2.183722557461629, max values: 5.0, median values: -0.1968392836343362, and quantile values: 0.25 -0.916647\n0.50 -0.196839\n0.75 0.532190\nName: 4639, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4927818471633492, std values: 0.8224438440701957, min values: -2.093800662299286, max values: 6.0, median values: 0.5848531669834588, and quantile values: 0.25 -0.082740\n0.50 0.584853\n0.75 1.074455\nName: 4640, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5389117243567347, std values: 1.1266558894054106, min values: -2.6635706018350787, max values: 3.306454397423372, median values: 0.5491786088539585, and quantile values: 0.25 -0.334252\n0.50 0.549179\n0.75 1.432398\nName: 4641, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2294798273528162, std values: 0.7192274099724024, min values: -1.9540766287208235, max values: 3.670892362631932, median values: 0.1976905425621971, and quantile values: 0.25 -0.194911\n0.50 0.197691\n0.75 0.641795\nName: 4642, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37526943296539067, std values: 1.0774129957998704, min values: -2.1025071669203186, max values: 5.0, median values: 0.4374753559689025, and quantile values: 0.25 -0.451428\n0.50 0.437475\n0.75 1.228103\nName: 4643, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06205365280267063, std values: 0.855586988832971, min values: -2.643887016977268, max values: 6.0, median values: 0.0218955032544889, and quantile values: 0.25 -0.560030\n0.50 0.021896\n0.75 0.480499\nName: 4644, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1350608562353524, std values: 0.7787214925771994, min values: -2.8843374390620142, max values: 6.0, median values: 0.1572618909775241, and quantile values: 0.25 -0.384905\n0.50 0.157262\n0.75 0.651469\nName: 4645, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10919356788228025, std values: 1.4427721423589266, min values: -2.9265160609644223, max values: 6.0, median values: 0.1696312829993492, and quantile values: 0.25 -1.365017\n0.50 0.169631\n0.75 0.921326\nName: 4646, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3595512958972614, std values: 1.2307202689402232, min values: -2.5953860446419177, max values: 3.455472209455805, median values: 0.5099511361352392, and quantile values: 0.25 -0.345047\n0.50 0.509951\n0.75 1.342046\nName: 4647, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5278986983205297, std values: 0.9235832381592053, min values: -2.446475285346346, max values: 3.0148736195915853, median values: -0.6137731338909999, and quantile values: 0.25 -1.287269\n0.50 -0.613773\n0.75 0.089932\nName: 4648, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27672108247503197, std values: 0.9184123571443009, min values: -2.222049826555007, max values: 3.390469008396469, median values: -0.3421712875252282, and quantile values: 0.25 -1.034321\n0.50 -0.342171\n0.75 0.351056\nName: 4649, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0011124721608692986, std values: 0.8487643894246777, min values: -2.108828940494985, max values: 3.5581019918925243, median values: 0.0505561675134683, and quantile values: 0.25 -0.618030\n0.50 0.050556\n0.75 0.625256\nName: 4650, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21310377643355166, std values: 0.845618215021588, min values: -2.7510671817729784, max values: 6.0, median values: 0.2085158255972077, and quantile values: 0.25 -0.239550\n0.50 0.208516\n0.75 0.718327\nName: 4651, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30854237374061494, std values: 1.1874453163296583, min values: -2.6652153608723106, max values: 5.0, median values: 0.2778818535561404, and quantile values: 0.25 -0.583612\n0.50 0.277882\n0.75 1.260497\nName: 4652, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.060106685805155186, std values: 0.84650149662934, min values: -2.6278943940336483, max values: 4.0, median values: 0.0537826562316004, and quantile values: 0.25 -0.465658\n0.50 0.053783\n0.75 0.616715\nName: 4653, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28332831708533335, std values: 0.9181853296979389, min values: -2.608390851963037, max values: 5.0, median values: -0.2988105552223389, and quantile values: 0.25 -0.997846\n0.50 -0.298811\n0.75 0.329044\nName: 4654, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39415405056417646, std values: 0.7979663853047391, min values: -1.9944138406489864, max values: 3.3636961113187773, median values: 0.4754000254556345, and quantile values: 0.25 -0.133267\n0.50 0.475400\n0.75 0.952794\nName: 4655, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3583945352963462, std values: 0.8810419027669972, min values: -2.7805088163097063, max values: 4.026668017837955, median values: -0.433176103350718, and quantile values: 0.25 -0.951072\n0.50 -0.433176\n0.75 0.209748\nName: 4656, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17210570387220475, std values: 1.0792897352954338, min values: -2.1144606839090367, max values: 5.0, median values: 0.1514358649740512, and quantile values: 0.25 -0.709621\n0.50 0.151436\n0.75 1.092563\nName: 4657, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2595958565874882, std values: 0.8687625233774716, min values: -2.5122218748354936, max values: 3.336438412828754, median values: -0.2750117032449102, and quantile values: 0.25 -0.824246\n0.50 -0.275012\n0.75 0.244484\nName: 4658, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3749179266642637, std values: 0.8674430852444358, min values: -2.142854198138545, max values: 5.0, median values: 0.4572715035299714, and quantile values: 0.25 -0.224471\n0.50 0.457272\n0.75 0.982833\nName: 4659, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23065232923056173, std values: 0.7988542895473275, min values: -2.475778245535816, max values: 4.0, median values: -0.3588170898359822, and quantile values: 0.25 -0.795548\n0.50 -0.358817\n0.75 0.256590\nName: 4660, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10331599654026083, std values: 0.7916224207184352, min values: -2.219779328182016, max values: 3.867701659180865, median values: 0.1387184988957891, and quantile values: 0.25 -0.429549\n0.50 0.138718\n0.75 0.613990\nName: 4661, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15654932630052407, std values: 0.8359087685663096, min values: -2.730840794324401, max values: 3.280245386470253, median values: 0.2176982213334246, and quantile values: 0.25 -0.367318\n0.50 0.217698\n0.75 0.725833\nName: 4662, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08709479739150036, std values: 0.7337188755861301, min values: -2.6412681606926487, max values: 3.2071942083719924, median values: 0.127715676373551, and quantile values: 0.25 -0.399806\n0.50 0.127716\n0.75 0.535492\nName: 4663, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3169576645104103, std values: 1.1052337137502903, min values: -2.5859127503381347, max values: 3.20751086257212, median values: 0.3960804172665297, and quantile values: 0.25 -0.251186\n0.50 0.396080\n0.75 1.097096\nName: 4664, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05919396908219692, std values: 0.965788762842652, min values: -2.710223074556336, max values: 4.0, median values: -0.0667773514544192, and quantile values: 0.25 -0.668796\n0.50 -0.066777\n0.75 0.675247\nName: 4665, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14371765545284604, std values: 0.81066407328978, min values: -2.9797100147087465, max values: 5.0, median values: -0.2040131519675528, and quantile values: 0.25 -0.659125\n0.50 -0.204013\n0.75 0.314831\nName: 4666, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30353825957745495, std values: 0.8918615081426207, min values: -2.6685266729136536, max values: 5.0, median values: -0.3030751857112518, and quantile values: 0.25 -0.868172\n0.50 -0.303075\n0.75 0.227370\nName: 4667, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06391524060825925, std values: 1.074366531053279, min values: -2.867984306888309, max values: 3.135426854633533, median values: 0.0666750364819339, and quantile values: 0.25 -0.628419\n0.50 0.066675\n0.75 0.605400\nName: 4668, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.768511629983216, std values: 1.0256377424498713, min values: -2.8282523283494294, max values: 4.0, median values: 0.8163420187449403, and quantile values: 0.25 -0.002505\n0.50 0.816342\n0.75 1.606255\nName: 4669, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4072288514175391, std values: 1.0052232146622107, min values: -2.730840794324401, max values: 3.5908526919299577, median values: 0.5552408231894843, and quantile values: 0.25 -0.108862\n0.50 0.555241\n0.75 1.046176\nName: 4670, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30450855704550756, std values: 0.8621369206162924, min values: -2.3665975785757483, max values: 3.0, median values: 0.4023894109917598, and quantile values: 0.25 -0.256790\n0.50 0.402389\n0.75 0.933716\nName: 4671, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3154125277063133, std values: 0.8199021901643504, min values: -2.1548749249906303, max values: 5.0, median values: 0.3633438304300607, and quantile values: 0.25 -0.273000\n0.50 0.363344\n0.75 0.936274\nName: 4672, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40419071251137806, std values: 0.9156877036565297, min values: -2.657750824678472, max values: 5.0, median values: -0.4958230868861017, and quantile values: 0.25 -1.096392\n0.50 -0.495823\n0.75 0.198393\nName: 4673, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23439543152563416, std values: 0.928634402370698, min values: -2.162123508609361, max values: 3.496479817235339, median values: -0.2277202018651433, and quantile values: 0.25 -0.989647\n0.50 -0.227720\n0.75 0.451916\nName: 4674, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.009908969369071185, std values: 1.156566705631819, min values: -2.5743883495350026, max values: 5.0, median values: -0.1789178264018148, and quantile values: 0.25 -0.858397\n0.50 -0.178918\n0.75 0.683463\nName: 4675, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38481134332738876, std values: 0.8280493138190532, min values: -2.2423374092797945, max values: 3.5021977227593246, median values: 0.4758989904366788, and quantile values: 0.25 -0.186272\n0.50 0.475899\n0.75 1.012602\nName: 4676, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13082596264449298, std values: 0.7415996561108502, min values: -2.4737574649270093, max values: 3.0, median values: -0.1022315869147304, and quantile values: 0.25 -0.662624\n0.50 -0.102232\n0.75 0.376155\nName: 4677, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5638566686611947, std values: 0.8005655875792946, min values: -2.564449278715455, max values: 3.709787027503053, median values: 0.5686243823118874, and quantile values: 0.25 0.078955\n0.50 0.568624\n0.75 1.074699\nName: 4678, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03431712346482027, std values: 0.9064424433110944, min values: -2.56026492390943, max values: 4.0, median values: 0.0572030475236344, and quantile values: 0.25 -0.661786\n0.50 0.057203\n0.75 0.690345\nName: 4679, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11893834400368648, std values: 0.8397144848917278, min values: -2.783691185534105, max values: 3.670892362631932, median values: -0.0912540789915677, and quantile values: 0.25 -0.732335\n0.50 -0.091254\n0.75 0.455829\nName: 4680, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42917416661010394, std values: 0.9106632334609386, min values: -2.2837882496430213, max values: 4.0, median values: 0.4749431276489796, and quantile values: 0.25 -0.206404\n0.50 0.474943\n0.75 1.092520\nName: 4681, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2591601305671901, std values: 0.8708897220412469, min values: -2.641174291463747, max values: 6.0, median values: 0.3648646662324548, and quantile values: 0.25 -0.254524\n0.50 0.364865\n0.75 0.837942\nName: 4682, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05401393099153481, std values: 0.9261544215613434, min values: -2.5953860446419177, max values: 5.0, median values: 0.0378756093247336, and quantile values: 0.25 -0.687128\n0.50 0.037876\n0.75 0.593441\nName: 4683, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09990545665883085, std values: 0.7814849066991726, min values: -2.196708653609315, max values: 6.0, median values: 0.110852030856014, and quantile values: 0.25 -0.413627\n0.50 0.110852\n0.75 0.578233\nName: 4684, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03966381733379268, std values: 0.968316608343864, min values: -2.088894678224596, max values: 4.0, median values: 0.0634656176099763, and quantile values: 0.25 -0.646345\n0.50 0.063466\n0.75 0.782866\nName: 4685, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15864574595715814, std values: 0.8068571165023499, min values: -2.525362520654854, max values: 5.0, median values: 0.1632807567587288, and quantile values: 0.25 -0.371187\n0.50 0.163281\n0.75 0.654316\nName: 4686, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3398202778730686, std values: 0.9087009252346654, min values: -2.6320986139293034, max values: 3.017846660960028, median values: -0.4690940427408295, and quantile values: 0.25 -1.019894\n0.50 -0.469094\n0.75 0.235131\nName: 4687, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03911852327901611, std values: 0.8581595140844219, min values: -2.143127839894852, max values: 3.434669824302974, median values: 0.0244877937656846, and quantile values: 0.25 -0.553186\n0.50 0.024488\n0.75 0.590679\nName: 4688, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1454170023037932, std values: 0.8268037923864368, min values: -2.1548749249906303, max values: 5.0, median values: -0.2402020968354882, and quantile values: 0.25 -0.773460\n0.50 -0.240202\n0.75 0.382356\nName: 4689, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21256962838967325, std values: 0.8104797520930277, min values: -2.5569229852416258, max values: 4.0, median values: 0.1559797863520617, and quantile values: 0.25 -0.288217\n0.50 0.155980\n0.75 0.717567\nName: 4690, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19431066442210687, std values: 0.8972114277355828, min values: -2.124086259977093, max values: 4.0, median values: 0.2222069011835512, and quantile values: 0.25 -0.440508\n0.50 0.222207\n0.75 0.868052\nName: 4691, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4992261253442116, std values: 1.0872987706330928, min values: -2.5953860446419177, max values: 3.627976272701048, median values: 0.5663451446979592, and quantile values: 0.25 -0.159353\n0.50 0.566345\n0.75 1.221008\nName: 4692, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32619279549161173, std values: 1.086612545007955, min values: -2.960014365184806, max values: 6.0, median values: -0.4665746617947, and quantile values: 0.25 -1.170050\n0.50 -0.466575\n0.75 0.453261\nName: 4693, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21959609656174803, std values: 0.7934032630817367, min values: -2.0185991952196947, max values: 3.141939528112806, median values: -0.3227417995452157, and quantile values: 0.25 -0.763517\n0.50 -0.322742\n0.75 0.274496\nName: 4694, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15764559969610942, std values: 0.9603802771016109, min values: -2.7428415536925543, max values: 5.0, median values: 0.1381068025152453, and quantile values: 0.25 -0.394651\n0.50 0.138107\n0.75 0.727047\nName: 4695, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0037639482031878316, std values: 0.8174271932181936, min values: -2.789830374413015, max values: 3.124705982383484, median values: -0.088129592941942, and quantile values: 0.25 -0.549499\n0.50 -0.088130\n0.75 0.491595\nName: 4696, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1330018526851105, std values: 0.7728106418530509, min values: -2.482931728382393, max values: 3.627976272701048, median values: 0.1912518622797147, and quantile values: 0.25 -0.364486\n0.50 0.191252\n0.75 0.626306\nName: 4697, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09789884548820364, std values: 0.9930467388942575, min values: -2.641174291463747, max values: 6.0, median values: 0.165916010253091, and quantile values: 0.25 -0.614058\n0.50 0.165916\n0.75 0.811854\nName: 4698, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16128304797789256, std values: 0.9816133471035263, min values: -2.6115251494731915, max values: 5.0, median values: -0.193058994095434, and quantile values: 0.25 -0.945995\n0.50 -0.193059\n0.75 0.559754\nName: 4699, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1695229493984467, std values: 0.7566537382602163, min values: -2.564449278715455, max values: 3.0, median values: -0.2400973787290751, and quantile values: 0.25 -0.662164\n0.50 -0.240097\n0.75 0.296421\nName: 4700, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29402376858502527, std values: 0.8679071617295588, min values: -2.179853905073574, max values: 6.0, median values: 0.3374279325693333, and quantile values: 0.25 -0.322684\n0.50 0.337428\n0.75 0.968529\nName: 4701, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.016820765557301852, std values: 1.007483419943746, min values: -2.104667097879677, max values: 4.0, median values: -0.0521140274059214, and quantile values: 0.25 -0.772468\n0.50 -0.052114\n0.75 0.749950\nName: 4702, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.592286892641718, std values: 0.9140990945680638, min values: -2.475778245535816, max values: 4.0, median values: 0.5626780377238174, and quantile values: 0.25 -0.072148\n0.50 0.562678\n0.75 1.245157\nName: 4703, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3703834492491909, std values: 0.8890279373024318, min values: -2.7688682710567485, max values: 3.250922035035844, median values: -0.4692477597224722, and quantile values: 0.25 -0.997678\n0.50 -0.469248\n0.75 0.232697\nName: 4704, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29695889540060927, std values: 1.1716246168816582, min values: -3.074005993202373, max values: 3.721862465295849, median values: -0.4328719881774631, and quantile values: 0.25 -1.268593\n0.50 -0.432872\n0.75 0.465711\nName: 4705, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2840437210657234, std values: 0.9050815364075773, min values: -2.064625266659693, max values: 6.0, median values: -0.3117033437532465, and quantile values: 0.25 -1.039581\n0.50 -0.311703\n0.75 0.365257\nName: 4706, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.624979461908336, std values: 0.9514576901823032, min values: -3.3126932323446474, max values: 3.236860296211547, median values: -0.6831584860083969, and quantile values: 0.25 -1.308157\n0.50 -0.683158\n0.75 -0.084895\nName: 4707, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.003790077830149955, std values: 0.7889713388884656, min values: -2.142034234211891, max values: 4.0, median values: -0.0640696791459524, and quantile values: 0.25 -0.503481\n0.50 -0.064070\n0.75 0.450852\nName: 4708, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15308554136935032, std values: 1.038941363515632, min values: -3.2960357033722465, max values: 3.434669824302974, median values: -0.0856140406085943, and quantile values: 0.25 -0.826049\n0.50 -0.085614\n0.75 0.537941\nName: 4709, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5233182303907347, std values: 0.8513220526690551, min values: -2.193998009850964, max values: 6.0, median values: -0.6724513238906352, and quantile values: 0.25 -1.131788\n0.50 -0.672451\n0.75 -0.027940\nName: 4710, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3456345213509002, std values: 0.9132139557341221, min values: -2.7314147016889114, max values: 4.243835016543704, median values: 0.3706303188736817, and quantile values: 0.25 -0.256505\n0.50 0.370630\n0.75 0.939909\nName: 4711, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11372519918861364, std values: 1.0741873964868982, min values: -2.072108449798908, max values: 3.9905524164385566, median values: 0.0226117027265354, and quantile values: 0.25 -0.747253\n0.50 0.022612\n0.75 0.900073\nName: 4712, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13068878159303943, std values: 0.9826894627817165, min values: -2.8547740449753216, max values: 5.0, median values: 0.257188036458269, and quantile values: 0.25 -0.445064\n0.50 0.257188\n0.75 0.815228\nName: 4713, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28575531318129044, std values: 0.8450163352565501, min values: -2.475272102106495, max values: 4.0, median values: 0.379200438704989, and quantile values: 0.25 -0.271749\n0.50 0.379200\n0.75 0.915201\nName: 4714, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08484235595557492, std values: 0.9178745766680043, min values: -3.215720519334632, max values: 3.784832159836258, median values: 0.0123930081026785, and quantile values: 0.25 -0.511394\n0.50 0.012393\n0.75 0.676635\nName: 4715, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1415051832990296, std values: 0.9123002324384895, min values: -2.5287168755688683, max values: 5.0, median values: -0.251925486210538, and quantile values: 0.25 -0.813540\n0.50 -0.251925\n0.75 0.457324\nName: 4716, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19062545630593902, std values: 0.8072931473016032, min values: -2.662750916816848, max values: 5.0, median values: -0.2723617499134585, and quantile values: 0.25 -0.798373\n0.50 -0.272362\n0.75 0.344900\nName: 4717, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1849722750272008, std values: 0.9371711190219566, min values: -2.7542003929097176, max values: 5.0, median values: 0.2426766982827619, and quantile values: 0.25 -0.332534\n0.50 0.242677\n0.75 0.770132\nName: 4718, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27408489691453375, std values: 0.880274359484889, min values: -2.576018450691392, max values: 4.0, median values: 0.3857654273193701, and quantile values: 0.25 -0.217360\n0.50 0.385765\n0.75 0.892681\nName: 4719, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13268401957037412, std values: 0.8339892728756302, min values: -2.3344113078233786, max values: 3.1290445144064547, median values: -0.1573914446834865, and quantile values: 0.25 -0.797950\n0.50 -0.157391\n0.75 0.475691\nName: 4720, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01274942057357279, std values: 0.9241469990289136, min values: -2.8531572940820533, max values: 6.0, median values: 0.0838451863293978, and quantile values: 0.25 -0.627278\n0.50 0.083845\n0.75 0.664360\nName: 4721, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01879490379649381, std values: 0.9769524399900323, min values: -3.045947208515832, max values: 6.0, median values: 0.1308347740804326, and quantile values: 0.25 -0.530414\n0.50 0.130835\n0.75 0.629090\nName: 4722, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2523213508883081, std values: 1.0814333001826055, min values: -2.6320986139293034, max values: 3.867701659180865, median values: 0.2809811618688977, and quantile values: 0.25 -0.576557\n0.50 0.280981\n0.75 1.106492\nName: 4723, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0338813799165815, std values: 0.7968726483410077, min values: -2.589966702820638, max values: 6.0, median values: -0.0034424209312956, and quantile values: 0.25 -0.499472\n0.50 -0.003442\n0.75 0.521025\nName: 4724, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08453538733432238, std values: 0.8890432554059555, min values: -2.035794058295153, max values: 3.2936960268109283, median values: -0.1783492630651808, and quantile values: 0.25 -0.706189\n0.50 -0.178349\n0.75 0.427790\nName: 4725, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15205936790019559, std values: 0.7514888499517914, min values: -2.037108201786327, max values: 3.721862465295849, median values: -0.1839482480932019, and quantile values: 0.25 -0.661535\n0.50 -0.183948\n0.75 0.259922\nName: 4726, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45194875768088505, std values: 0.9137578839309519, min values: -2.6466193392086392, max values: 4.0, median values: -0.6003321436094539, and quantile values: 0.25 -1.128111\n0.50 -0.600332\n0.75 0.130243\nName: 4727, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4716689106225263, std values: 1.3506569728463649, min values: -2.094787931821739, max values: 6.0, median values: 0.2853317059549645, and quantile values: 0.25 -0.671688\n0.50 0.285332\n0.75 1.716834\nName: 4728, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 1.0323255767679904, std values: 1.1171990513410006, min values: -2.226424194672579, max values: 4.0, median values: 1.0428726073723005, and quantile values: 0.25 0.203282\n0.50 1.042873\n0.75 1.962301\nName: 4729, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20125407231377096, std values: 0.9328941367904169, min values: -2.6270253558526173, max values: 4.0, median values: -0.0825781768999316, and quantile values: 0.25 -0.709692\n0.50 -0.082578\n0.75 0.411258\nName: 4730, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10598997457855966, std values: 1.0844118167042496, min values: -2.7211321814067784, max values: 3.477886732511886, median values: -0.1757476488228114, and quantile values: 0.25 -0.807382\n0.50 -0.175748\n0.75 0.644598\nName: 4731, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44300192880000394, std values: 0.8937931941438823, min values: -2.028171381820091, max values: 3.0, median values: 0.4868144849651875, and quantile values: 0.25 -0.210485\n0.50 0.486814\n0.75 1.183676\nName: 4732, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18824249213009545, std values: 1.046412035741637, min values: -2.6635706018350787, max values: 3.312693232344632, median values: 0.1559558626262319, and quantile values: 0.25 -0.482026\n0.50 0.155956\n0.75 0.820543\nName: 4733, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2033151539667521, std values: 0.8572608603721604, min values: -2.8663054413554843, max values: 6.0, median values: 0.2691500522800925, and quantile values: 0.25 -0.300913\n0.50 0.269150\n0.75 0.742528\nName: 4734, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.373224205345895, std values: 0.8590573214452164, min values: -2.732564679617164, max values: 3.0, median values: 0.4225127262088785, and quantile values: 0.25 -0.208709\n0.50 0.422513\n0.75 1.024764\nName: 4735, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35459166254345303, std values: 1.1605468990759713, min values: -2.769191083399913, max values: 3.630507857092792, median values: -0.3028445248657771, and quantile values: 0.25 -1.110772\n0.50 -0.302845\n0.75 0.421918\nName: 4736, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06595870520429176, std values: 0.7935300496801544, min values: -2.7069857806557875, max values: 4.0, median values: 0.0864206624694202, and quantile values: 0.25 -0.444578\n0.50 0.086421\n0.75 0.567201\nName: 4737, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08627268384344203, std values: 0.9823535955817795, min values: -2.623568901859613, max values: 4.0, median values: -0.0962329893841552, and quantile values: 0.25 -0.726801\n0.50 -0.096233\n0.75 0.605003\nName: 4738, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5843337825549514, std values: 0.9934688028018479, min values: -3.0223671288921072, max values: 3.434669824302974, median values: 0.5611642825135991, and quantile values: 0.25 -0.139219\n0.50 0.561164\n0.75 1.273151\nName: 4739, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24696416828259438, std values: 0.7866243765716611, min values: -1.986690431627572, max values: 3.9905524164385566, median values: 0.1866563578701536, and quantile values: 0.25 -0.250546\n0.50 0.186656\n0.75 0.732568\nName: 4740, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02844740816917401, std values: 0.8835170682298912, min values: -2.620939317041317, max values: 4.0, median values: 0.0891802075370868, and quantile values: 0.25 -0.588550\n0.50 0.089180\n0.75 0.584249\nName: 4741, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09319194868698626, std values: 0.8456384494173057, min values: -2.576018450691392, max values: 4.0, median values: 0.0829813424585416, and quantile values: 0.25 -0.349146\n0.50 0.082981\n0.75 0.614943\nName: 4742, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07955897780747671, std values: 1.0183994539369545, min values: -2.7688682710567485, max values: 3.2071942083719924, median values: 0.2055699467634977, and quantile values: 0.25 -0.601578\n0.50 0.205570\n0.75 0.841170\nName: 4743, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20524588256933635, std values: 1.0326711549322722, min values: -2.610097161345549, max values: 4.0, median values: -0.1747406199525882, and quantile values: 0.25 -0.800117\n0.50 -0.174741\n0.75 0.536414\nName: 4744, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16583519869309105, std values: 1.2071645422423583, min values: -2.541693081833126, max values: 3.110498035652072, median values: 0.4387181918645288, and quantile values: 0.25 -0.500666\n0.50 0.438718\n0.75 1.040636\nName: 4745, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4041435907887832, std values: 0.8381808853553174, min values: -2.8834699678265463, max values: 5.0, median values: -0.4142321409811659, and quantile values: 0.25 -0.961677\n0.50 -0.414232\n0.75 0.104227\nName: 4746, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21630303358059078, std values: 0.8695509033903585, min values: -2.5689076212724418, max values: 5.0, median values: -0.2205356682175042, and quantile values: 0.25 -0.888685\n0.50 -0.220536\n0.75 0.383140\nName: 4747, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01416266959483987, std values: 0.7927476753153235, min values: -2.128045234184984, max values: 6.0, median values: -0.0275376777190193, and quantile values: 0.25 -0.522324\n0.50 -0.027538\n0.75 0.457321\nName: 4748, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19139990303865193, std values: 1.0239226367824414, min values: -2.1592807923628903, max values: 3.455472209455805, median values: 0.2216739771212523, and quantile values: 0.25 -0.610210\n0.50 0.221674\n0.75 1.001547\nName: 4749, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.018215694055214043, std values: 1.3261391581603303, min values: -2.9090251609554527, max values: 6.0, median values: -0.0025525292540947, and quantile values: 0.25 -0.836869\n0.50 -0.002553\n0.75 0.944148\nName: 4750, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5321379209202711, std values: 1.151600941258668, min values: -2.221075353514828, max values: 3.8226908388056136, median values: 0.3638038996765256, and quantile values: 0.25 -0.346684\n0.50 0.363804\n0.75 1.350479\nName: 4751, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5204752892468374, std values: 1.0970956230841216, min values: -3.21990804472754, max values: 5.0, median values: -0.4376268851096086, and quantile values: 0.25 -1.308268\n0.50 -0.437627\n0.75 0.304113\nName: 4752, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.272358464509718, std values: 0.8206457659425215, min values: -2.209283142861864, max values: 6.0, median values: 0.2183325190454499, and quantile values: 0.25 -0.281863\n0.50 0.218333\n0.75 0.811586\nName: 4753, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1996917791045973, std values: 0.807907659251167, min values: -2.1222500742240245, max values: 2.975781014280383, median values: -0.2378217656211478, and quantile values: 0.25 -0.751556\n0.50 -0.237822\n0.75 0.269444\nName: 4754, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.407956051419015, std values: 0.8792142521622407, min values: -2.486556664247513, max values: 3.0, median values: -0.4515197003930574, and quantile values: 0.25 -1.027886\n0.50 -0.451520\n0.75 0.167419\nName: 4755, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3757517341658753, std values: 0.9904967258007412, min values: -2.87684958111886, max values: 2.822291414095034, median values: -0.2559886427119651, and quantile values: 0.25 -1.040392\n0.50 -0.255989\n0.75 0.362996\nName: 4756, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3515828539729554, std values: 0.7976311291933903, min values: -2.1531915650706086, max values: 6.0, median values: 0.3040210627362182, and quantile values: 0.25 -0.170734\n0.50 0.304021\n0.75 0.872766\nName: 4757, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2875383372761207, std values: 0.9936772126929926, min values: -2.8563982925340614, max values: 4.0, median values: -0.2370820861337652, and quantile values: 0.25 -0.869416\n0.50 -0.237082\n0.75 0.331283\nName: 4758, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2775481536821402, std values: 0.8517406966490686, min values: -2.1707581145338786, max values: 5.0, median values: -0.3536210146248584, and quantile values: 0.25 -0.870222\n0.50 -0.353621\n0.75 0.203060\nName: 4759, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27100527942057745, std values: 0.9055003353360734, min values: -2.876502173242568, max values: 2.9996722348762725, median values: 0.410732436442484, and quantile values: 0.25 -0.227491\n0.50 0.410732\n0.75 0.889421\nName: 4760, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.007622939247290307, std values: 1.168737793821027, min values: -2.8350118695332047, max values: 5.0, median values: 0.0440216614951444, and quantile values: 0.25 -0.715799\n0.50 0.044022\n0.75 0.788789\nName: 4761, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06370718414762637, std values: 0.8729701061184202, min values: -2.687115288423959, max values: 5.0, median values: -0.0129757070602606, and quantile values: 0.25 -0.598183\n0.50 -0.012976\n0.75 0.651684\nName: 4762, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1924265758843746, std values: 1.0518435388429257, min values: -2.982771139679002, max values: 4.0, median values: -0.2096682474367975, and quantile values: 0.25 -0.894487\n0.50 -0.209668\n0.75 0.542915\nName: 4763, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19125991014337046, std values: 0.8103893159048607, min values: -2.475272102106495, max values: 4.0, median values: 0.2565903101176044, and quantile values: 0.25 -0.369011\n0.50 0.256590\n0.75 0.741114\nName: 4764, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2296051214947007, std values: 0.9553160821219014, min values: -2.5682675825126706, max values: 5.0, median values: -0.3683495466916756, and quantile values: 0.25 -0.932402\n0.50 -0.368350\n0.75 0.395301\nName: 4765, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.016384391175221277, std values: 0.9288110612424534, min values: -2.1227739687253626, max values: 3.390469008396469, median values: -0.0411829113194008, and quantile values: 0.25 -0.672251\n0.50 -0.041183\n0.75 0.654668\nName: 4766, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34480160702818075, std values: 1.014492995702764, min values: -2.788272971802125, max values: 6.0, median values: 0.4987860370400183, and quantile values: 0.25 -0.162534\n0.50 0.498786\n0.75 1.045155\nName: 4767, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29774237492694394, std values: 0.8636451785152546, min values: -3.236860296211546, max values: 3.2906806286429298, median values: 0.4209369432172847, and quantile values: 0.25 -0.204484\n0.50 0.420937\n0.75 0.864014\nName: 4768, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3366501549186324, std values: 0.9808402717238697, min values: -2.679056533720636, max values: 5.0, median values: -0.2965542525711569, and quantile values: 0.25 -0.895758\n0.50 -0.296554\n0.75 0.321892\nName: 4769, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04303477737030554, std values: 0.9805365393953966, min values: -2.1798712735263623, max values: 4.278004674434932, median values: -0.1500015962307337, and quantile values: 0.25 -0.794252\n0.50 -0.150002\n0.75 0.591171\nName: 4770, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14480704702079475, std values: 0.7862790052857841, min values: -2.8563982925340614, max values: 4.0, median values: 0.0668408470796775, and quantile values: 0.25 -0.401328\n0.50 0.066841\n0.75 0.667385\nName: 4771, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05109806675165006, std values: 0.790353325172207, min values: -2.579723791499676, max values: 4.0, median values: 0.0007435615211104, and quantile values: 0.25 -0.462552\n0.50 0.000744\n0.75 0.538511\nName: 4772, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2638179516891426, std values: 0.8401630338888263, min values: -2.193998009850964, max values: 2.944950884974357, median values: -0.372098980251263, and quantile values: 0.25 -0.881656\n0.50 -0.372099\n0.75 0.293345\nName: 4773, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40547452448392524, std values: 0.9363355778282151, min values: -3.0133870328644434, max values: 3.02009942896863, median values: -0.5220806031399341, and quantile values: 0.25 -1.121915\n0.50 -0.522081\n0.75 0.193684\nName: 4774, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49240473729882533, std values: 0.9971942012841114, min values: -2.855306289371099, max values: 6.0, median values: -0.4814887216881638, and quantile values: 0.25 -1.137029\n0.50 -0.481489\n0.75 0.116839\nName: 4775, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5658515662654651, std values: 0.8631970262482408, min values: -2.1227739687253626, max values: 3.306454397423372, median values: 0.6704747370919908, and quantile values: 0.25 -0.007303\n0.50 0.670475\n0.75 1.218116\nName: 4776, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.030055536700632355, std values: 0.7589843429379, min values: -2.0477799217050063, max values: 5.0, median values: 0.0362396260972127, and quantile values: 0.25 -0.463537\n0.50 0.036240\n0.75 0.501689\nName: 4777, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49336185025393, std values: 0.9109409162500138, min values: -2.724017888297919, max values: 3.2071942083719924, median values: 0.4377828784102345, and quantile values: 0.25 -0.123635\n0.50 0.437783\n0.75 1.084068\nName: 4778, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05176018383666018, std values: 0.8407439730746781, min values: -1.9890885222563244, max values: 3.281452258958016, median values: -0.1073613604375735, and quantile values: 0.25 -0.725260\n0.50 -0.107361\n0.75 0.565541\nName: 4779, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39675552906876477, std values: 0.8135951103903407, min values: -2.0366697630595785, max values: 3.362228250221886, median values: 0.474973955155419, and quantile values: 0.25 -0.196478\n0.50 0.474974\n0.75 1.000454\nName: 4780, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17094544148987792, std values: 0.7636694873835617, min values: -2.788272971802125, max values: 3.176672644814091, median values: -0.1817764458166555, and quantile values: 0.25 -0.680361\n0.50 -0.181776\n0.75 0.296393\nName: 4781, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4713663908228169, std values: 1.1601039738447994, min values: -2.8563982925340614, max values: 5.0, median values: 0.6625064991204827, and quantile values: 0.25 -0.263616\n0.50 0.662506\n0.75 1.384860\nName: 4782, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19694483598926038, std values: 0.7402048097429476, min values: -2.476285024008804, max values: 3.0, median values: 0.2298404174546937, and quantile values: 0.25 -0.290556\n0.50 0.229840\n0.75 0.661067\nName: 4783, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6986189729456402, std values: 0.9837691329255127, min values: -2.9029979285382743, max values: 6.0, median values: -0.8448041961417903, and quantile values: 0.25 -1.425509\n0.50 -0.844804\n0.75 -0.065425\nName: 4784, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2837105837716713, std values: 1.00292497988268, min values: -2.564449278715455, max values: 3.349054967837474, median values: 0.2825796206149495, and quantile values: 0.25 -0.464447\n0.50 0.282580\n0.75 0.999286\nName: 4785, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0646573762974779, std values: 0.8588650133088087, min values: -2.687115288423959, max values: 5.0, median values: -0.0078763249707179, and quantile values: 0.25 -0.711253\n0.50 -0.007876\n0.75 0.566134\nName: 4786, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18070685383876162, std values: 0.8204767785981893, min values: -1.9987231088001387, max values: 3.0, median values: -0.2854751263320649, and quantile values: 0.25 -0.799836\n0.50 -0.285475\n0.75 0.344696\nName: 4787, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24255471313852692, std values: 0.8421204683602016, min values: -2.5774281843044924, max values: 4.0, median values: 0.2874039808508345, and quantile values: 0.25 -0.287369\n0.50 0.287404\n0.75 0.779763\nName: 4788, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08843372743143142, std values: 0.7588653822088864, min values: -1.9192321935116217, max values: 4.0, median values: -0.1273825054676577, and quantile values: 0.25 -0.591835\n0.50 -0.127383\n0.75 0.326625\nName: 4789, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10058864309169384, std values: 0.9073805284992399, min values: -2.1136270387555465, max values: 3.528773265847577, median values: 0.0196367921410572, and quantile values: 0.25 -0.499659\n0.50 0.019637\n0.75 0.636694\nName: 4790, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13863568539889792, std values: 0.9377132119388304, min values: -2.643887016977268, max values: 6.0, median values: -0.0464585084857753, and quantile values: 0.25 -0.798904\n0.50 -0.046459\n0.75 0.554758\nName: 4791, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9564241002281287, std values: 0.8572454483386487, min values: -2.7016525309724218, max values: 2.814578811359137, median values: -1.168458272112424, and quantile values: 0.25 -1.596920\n0.50 -1.168458\n0.75 -0.456435\nName: 4792, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2031029967041368, std values: 0.757936070589102, min values: -1.9492677436504309, max values: 3.250922035035844, median values: 0.2273698637092343, and quantile values: 0.25 -0.276251\n0.50 0.227370\n0.75 0.665777\nName: 4793, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3307082690913043, std values: 1.1212033174552485, min values: -2.4823451998031074, max values: 3.496479817235339, median values: 0.3421836344316691, and quantile values: 0.25 -0.478275\n0.50 0.342184\n0.75 1.218315\nName: 4794, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09192792343842729, std values: 0.960896952681669, min values: -2.5293911731823453, max values: 3.0148736195915853, median values: 0.2014680006851646, and quantile values: 0.25 -0.504752\n0.50 0.201468\n0.75 0.767735\nName: 4795, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4505767213325362, std values: 0.8130575015422468, min values: -2.7024513197886706, max values: 3.379902545505621, median values: 0.5619113884195845, and quantile values: 0.25 -0.098142\n0.50 0.561911\n0.75 1.012022\nName: 4796, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4737708215746414, std values: 0.8558480806741222, min values: -2.119621483749997, max values: 3.784832159836258, median values: 0.51996911108671, and quantile values: 0.25 -0.125235\n0.50 0.519969\n0.75 1.106698\nName: 4797, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4536074774702035, std values: 1.0797385404826123, min values: -2.838932175687192, max values: 4.0, median values: -0.4014926099123024, and quantile values: 0.25 -1.139889\n0.50 -0.401493\n0.75 0.301893\nName: 4798, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.016427041135367592, std values: 0.8716086699916081, min values: -2.919359491767569, max values: 6.0, median values: -0.0716911167556789, and quantile values: 0.25 -0.695101\n0.50 -0.071691\n0.75 0.593384\nName: 4799, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21221346784893283, std values: 0.8964584707821817, min values: -2.5743883495350026, max values: 5.0, median values: -0.1884363420137767, and quantile values: 0.25 -0.769391\n0.50 -0.188436\n0.75 0.357297\nName: 4800, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.025224983526042324, std values: 0.799680240781466, min values: -2.215291168881953, max values: 3.455472209455805, median values: 0.0316479529721513, and quantile values: 0.25 -0.519698\n0.50 0.031648\n0.75 0.521214\nName: 4801, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.024981438009231666, std values: 1.3387434032472112, min values: -2.928515832252388, max values: 5.0, median values: 0.0422947348911302, and quantile values: 0.25 -0.803584\n0.50 0.042295\n0.75 0.925486\nName: 4802, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2428197764236887, std values: 0.8285028659473105, min values: -2.5682675825126706, max values: 5.0, median values: 0.263738086024466, and quantile values: 0.25 -0.336964\n0.50 0.263738\n0.75 0.760866\nName: 4803, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3730298808132574, std values: 0.8946731170932313, min values: -2.5631960397140583, max values: 4.0, median values: -0.4944245603006994, and quantile values: 0.25 -1.071051\n0.50 -0.494425\n0.75 0.225163\nName: 4804, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07802299919917542, std values: 0.8827388883099886, min values: -2.4564928597243227, max values: 4.0, median values: -0.0217927379748707, and quantile values: 0.25 -0.605633\n0.50 -0.021793\n0.75 0.699702\nName: 4805, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5946212908289591, std values: 0.7364294443385208, min values: -2.2896931241918383, max values: 5.0, median values: -0.6640671934390998, and quantile values: 0.25 -1.109191\n0.50 -0.664067\n0.75 -0.181897\nName: 4806, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13773506779397438, std values: 0.8822120664517299, min values: -2.1227739687253626, max values: 5.0, median values: -0.2601495642614189, and quantile values: 0.25 -0.789880\n0.50 -0.260150\n0.75 0.426004\nName: 4807, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0875879230455477, std values: 0.7968404442565009, min values: -2.0545210191658487, max values: 3.4566816047670264, median values: -0.0964837276706995, and quantile values: 0.25 -0.641779\n0.50 -0.096484\n0.75 0.393359\nName: 4808, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44066355994965173, std values: 0.8696317446454283, min values: -2.6652153608723106, max values: 3.518664430018096, median values: 0.5252538656495203, and quantile values: 0.25 -0.111264\n0.50 0.525254\n0.75 1.021454\nName: 4809, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.174353592458204, std values: 0.914558959691166, min values: -2.486556664247513, max values: 3.1841025362512254, median values: 0.2921610436736557, and quantile values: 0.25 -0.399538\n0.50 0.292161\n0.75 0.865903\nName: 4810, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09073005931340174, std values: 0.9372619722631212, min values: -2.5624611946462936, max values: 5.0, median values: 0.1866563578701536, and quantile values: 0.25 -0.531421\n0.50 0.186656\n0.75 0.787249\nName: 4811, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36675045595201994, std values: 0.8419415465437239, min values: -2.6850842010492566, max values: 6.0, median values: -0.5135675711869355, and quantile values: 0.25 -0.955092\n0.50 -0.513568\n0.75 0.082839\nName: 4812, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.562042654785675, std values: 0.7851096898032525, min values: -2.8531572940820533, max values: 3.3337116327022187, median values: -0.6759771500670696, and quantile values: 0.25 -1.107059\n0.50 -0.675977\n0.75 -0.109051\nName: 4813, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23018479150288043, std values: 0.8686876013568582, min values: -2.5759052915632985, max values: 3.721862465295849, median values: 0.1868059413507795, and quantile values: 0.25 -0.342446\n0.50 0.186806\n0.75 0.758734\nName: 4814, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15990544413873398, std values: 0.818282699787674, min values: -2.299460330888208, max values: 3.017846660960028, median values: -0.1136424874627458, and quantile values: 0.25 -0.785501\n0.50 -0.113642\n0.75 0.418822\nName: 4815, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10357676155585105, std values: 1.0752333782708536, min values: -2.5953860446419177, max values: 5.0, median values: -0.1071983597501097, and quantile values: 0.25 -0.924909\n0.50 -0.107198\n0.75 0.660964\nName: 4816, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04855091835412069, std values: 0.9899006391370637, min values: -2.608390851963037, max values: 5.0, median values: -0.0020379105769665, and quantile values: 0.25 -0.598041\n0.50 -0.002038\n0.75 0.592976\nName: 4817, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0005598115738995307, std values: 0.763392991754973, min values: -2.2161166709808824, max values: 6.0, median values: -0.0859457304429292, and quantile values: 0.25 -0.545404\n0.50 -0.085946\n0.75 0.499060\nName: 4818, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35821928027506594, std values: 1.065475149585618, min values: -2.879968592907284, max values: 4.0, median values: 0.5580961291411852, and quantile values: 0.25 -0.191909\n0.50 0.558096\n0.75 1.092333\nName: 4819, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09659524715494541, std values: 0.7869003201727747, min values: -2.5682675825126706, max values: 5.0, median values: 0.0926921930930831, and quantile values: 0.25 -0.414799\n0.50 0.092692\n0.75 0.564321\nName: 4820, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5370603091314602, std values: 0.7726561316074676, min values: -2.7211321814067784, max values: 3.0, median values: -0.6332067267102768, and quantile values: 0.25 -1.089935\n0.50 -0.633207\n0.75 -0.070863\nName: 4821, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12245768755485824, std values: 0.8045593796194226, min values: -2.1098479262714123, max values: 3.455472209455805, median values: -0.1823519573998566, and quantile values: 0.25 -0.680761\n0.50 -0.182352\n0.75 0.363021\nName: 4822, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04528373078008442, std values: 1.4447753358773643, min values: -3.101800431129944, max values: 6.0, median values: 0.3262251556582851, and quantile values: 0.25 -1.117986\n0.50 0.326225\n0.75 1.059371\nName: 4823, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12530527898210664, std values: 0.8216104515620721, min values: -1.975713706915316, max values: 6.0, median values: -0.0071849511758656, and quantile values: 0.25 -0.457534\n0.50 -0.007185\n0.75 0.666072\nName: 4824, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1380102322241561, std values: 0.7983156855090867, min values: -2.032741323324237, max values: 4.0, median values: -0.2367903984241051, and quantile values: 0.25 -0.685016\n0.50 -0.236790\n0.75 0.357750\nName: 4825, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3012408645721965, std values: 0.95889332524579, min values: -2.730840794324401, max values: 3.8226908388056136, median values: 0.2657371356896055, and quantile values: 0.25 -0.340228\n0.50 0.265737\n0.75 0.988479\nName: 4826, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08257483243776872, std values: 1.2011302848287726, min values: -2.933035609461076, max values: 5.0, median values: 0.0521140274059214, and quantile values: 0.25 -0.879427\n0.50 0.052114\n0.75 0.744147\nName: 4827, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3221699179117301, std values: 0.9875550934938611, min values: -3.21990804472754, max values: 5.0, median values: -0.32747286362145, and quantile values: 0.25 -0.871591\n0.50 -0.327473\n0.75 0.314745\nName: 4828, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07396775733070264, std values: 0.882468851051289, min values: -2.799990485600992, max values: 5.0, median values: -0.0506230876914063, and quantile values: 0.25 -0.637748\n0.50 -0.050623\n0.75 0.482479\nName: 4829, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25585735832722084, std values: 1.0448548303809289, min values: -2.64479559868397, max values: 6.0, median values: -0.2105693507262847, and quantile values: 0.25 -0.975884\n0.50 -0.210569\n0.75 0.446585\nName: 4830, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.384522940042311, std values: 1.0347240336115529, min values: -3.242093130849769, max values: 3.2936960268109283, median values: 0.3438758233168767, and quantile values: 0.25 -0.152392\n0.50 0.343876\n0.75 1.022771\nName: 4831, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2253999931736406, std values: 0.8665666420479934, min values: -2.2922073537322345, max values: 3.477886732511886, median values: 0.2154530742855104, and quantile values: 0.25 -0.422011\n0.50 0.215453\n0.75 0.851987\nName: 4832, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2705170482973829, std values: 0.7814957431093625, min values: -2.8998169811239416, max values: 3.670892362631932, median values: 0.3034212072203835, and quantile values: 0.25 -0.195562\n0.50 0.303421\n0.75 0.731471\nName: 4833, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7874392895551752, std values: 0.8446578408471362, min values: -1.9649002319461304, max values: 3.169414082461771, median values: 0.8366086734012431, and quantile values: 0.25 0.266945\n0.50 0.836609\n0.75 1.380133\nName: 4834, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2372241582312699, std values: 0.7659123847980008, min values: -2.475778245535816, max values: 4.0, median values: -0.3155513653717092, and quantile values: 0.25 -0.775440\n0.50 -0.315551\n0.75 0.251329\nName: 4835, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14812324529152154, std values: 1.0064833026837205, min values: -2.590643619371846, max values: 4.0, median values: 0.1616408815149556, and quantile values: 0.25 -0.480530\n0.50 0.161641\n0.75 0.730320\nName: 4836, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2646423839756721, std values: 1.034388430370828, min values: -2.8246479422601736, max values: 6.0, median values: -0.2942335355881157, and quantile values: 0.25 -0.947882\n0.50 -0.294234\n0.75 0.473526\nName: 4837, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3569865629133861, std values: 0.8875537166531597, min values: -2.248504220857508, max values: 5.0, median values: -0.4377308562172341, and quantile values: 0.25 -1.103968\n0.50 -0.437731\n0.75 0.248004\nName: 4838, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26924944810166584, std values: 0.8535514917769047, min values: -2.610097161345549, max values: 4.0, median values: -0.2852456565459784, and quantile values: 0.25 -0.859892\n0.50 -0.285246\n0.75 0.220322\nName: 4839, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05565416493582128, std values: 0.8694456353322284, min values: -2.3922473154067863, max values: 5.0, median values: -0.1670282312271093, and quantile values: 0.25 -0.708577\n0.50 -0.167028\n0.75 0.535126\nName: 4840, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5078846402192447, std values: 0.9114723410553743, min values: -2.8663054413554843, max values: 6.0, median values: -0.6636044180131654, and quantile values: 0.25 -1.159983\n0.50 -0.663604\n0.75 0.061948\nName: 4841, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10686032272309386, std values: 0.869254182871583, min values: -2.5953860446419177, max values: 5.0, median values: 0.1651253140481008, and quantile values: 0.25 -0.396259\n0.50 0.165125\n0.75 0.661712\nName: 4842, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27840180218938737, std values: 0.8565617513631917, min values: -2.7648443048846945, max values: 3.025409039429847, median values: -0.3823263764982417, and quantile values: 0.25 -0.893419\n0.50 -0.382326\n0.75 0.274104\nName: 4843, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17251506789579787, std values: 0.800723838540479, min values: -2.363112660485232, max values: 4.0, median values: 0.1095775048092281, and quantile values: 0.25 -0.343500\n0.50 0.109578\n0.75 0.679289\nName: 4844, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26546696028548106, std values: 0.8848322170742355, min values: -2.8998169811239416, max values: 3.281452258958016, median values: 0.289378424244229, and quantile values: 0.25 -0.383126\n0.50 0.289378\n0.75 0.935506\nName: 4845, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04665382551815619, std values: 0.8365436728167194, min values: -2.769191083399913, max values: 3.9905524164385566, median values: -0.0835135555225805, and quantile values: 0.25 -0.612262\n0.50 -0.083514\n0.75 0.445885\nName: 4846, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4462899949427571, std values: 0.8166630030040302, min values: -2.142854198138545, max values: 5.0, median values: 0.495769636070603, and quantile values: 0.25 -0.068461\n0.50 0.495770\n0.75 1.029765\nName: 4847, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14859404167830062, std values: 0.9795425031435976, min values: -3.242093130849769, max values: 4.243835016543704, median values: -0.1885156817444051, and quantile values: 0.25 -0.758816\n0.50 -0.188516\n0.75 0.490405\nName: 4848, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22302989127367875, std values: 0.9855008864662047, min values: -2.7428415536925543, max values: 5.0, median values: -0.2536204518965735, and quantile values: 0.25 -0.911628\n0.50 -0.253620\n0.75 0.448411\nName: 4849, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0703095984198843, std values: 1.2471531478594924, min values: -2.727901130262228, max values: 4.0, median values: -1.6529432372278574, and quantile values: 0.25 -2.140406\n0.50 -1.652943\n0.75 -0.016276\nName: 4850, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.042159233943515506, std values: 0.9670686117773108, min values: -2.3956757135390148, max values: 3.477886732511886, median values: -0.070181143829414, and quantile values: 0.25 -0.741344\n0.50 -0.070181\n0.75 0.614430\nName: 4851, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.004022322954558644, std values: 1.1124614035190197, min values: -2.8843374390620142, max values: 6.0, median values: 0.0061686447870723, and quantile values: 0.25 -0.884588\n0.50 0.006169\n0.75 0.787024\nName: 4852, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13435443427847496, std values: 0.9277087553309742, min values: -1.9653498120111537, max values: 3.0, median values: 0.0965926682626444, and quantile values: 0.25 -0.589401\n0.50 0.096593\n0.75 0.802051\nName: 4853, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.9106608027028459, std values: 1.3511689408600975, min values: -3.074005993202373, max values: 3.760287110694155, median values: 1.1866774652055083, and quantile values: 0.25 0.162562\n0.50 1.186677\n0.75 1.914366\nName: 4854, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36526181459529244, std values: 1.02210059573816, min values: -2.815821936576896, max values: 3.0, median values: -0.3411910121368594, and quantile values: 0.25 -0.866419\n0.50 -0.341191\n0.75 0.231028\nName: 4855, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1851354998132896, std values: 0.7787783027953715, min values: -1.9636428649461648, max values: 3.867701659180865, median values: 0.1629523887553351, and quantile values: 0.25 -0.319230\n0.50 0.162952\n0.75 0.649960\nName: 4856, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45602310360073733, std values: 0.8548094262212966, min values: -2.2915911556076085, max values: 3.0, median values: -0.5790710234753952, and quantile values: 0.25 -1.067369\n0.50 -0.579071\n0.75 0.048896\nName: 4857, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10511532238409596, std values: 0.8563627454532174, min values: -2.082254794052404, max values: 5.0, median values: 0.1226865499072854, and quantile values: 0.25 -0.522622\n0.50 0.122687\n0.75 0.750315\nName: 4858, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3984432034860543, std values: 0.8224098874904656, min values: -2.5631847770497496, max values: 4.0, median values: -0.5264734721351874, and quantile values: 0.25 -1.008164\n0.50 -0.526473\n0.75 0.134244\nName: 4859, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05136665150413019, std values: 1.0418389912665897, min values: -2.732564679617164, max values: 3.025409039429847, median values: -0.2427256005160779, and quantile values: 0.25 -0.855913\n0.50 -0.242726\n0.75 0.695634\nName: 4860, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42322033457219416, std values: 0.972316125930495, min values: -2.072108449798908, max values: 3.2696814875916886, median values: 0.3888179105031959, and quantile values: 0.25 -0.334019\n0.50 0.388818\n0.75 1.188095\nName: 4861, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5499960164286201, std values: 1.2161549596314132, min values: -3.0148736195915964, max values: 3.8226908388056136, median values: -0.4935793695200139, and quantile values: 0.25 -1.476920\n0.50 -0.493579\n0.75 0.411408\nName: 4862, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18045433288560747, std values: 0.9269997734651529, min values: -2.688157591415518, max values: 3.0, median values: -0.2608048248270428, and quantile values: 0.25 -0.901207\n0.50 -0.260805\n0.75 0.464150\nName: 4863, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21533576585402073, std values: 1.0296244855707706, min values: -2.688157591415518, max values: 5.0, median values: 0.0473576083160448, and quantile values: 0.25 -0.500264\n0.50 0.047358\n0.75 0.812467\nName: 4864, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17903438204342692, std values: 0.7767998544403995, min values: -2.475778245535816, max values: 4.0, median values: 0.1223866172278819, and quantile values: 0.25 -0.367289\n0.50 0.122387\n0.75 0.694085\nName: 4865, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24449133079288038, std values: 0.7681549331268479, min values: -2.7314147016889114, max values: 3.0, median values: -0.342358838048015, and quantile values: 0.25 -0.777482\n0.50 -0.342359\n0.75 0.230717\nName: 4866, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5304127249807462, std values: 0.8928643377753503, min values: -1.9706972559200704, max values: 6.0, median values: 0.5844284316015925, and quantile values: 0.25 -0.081386\n0.50 0.584428\n0.75 1.130615\nName: 4867, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08757879661190184, std values: 0.9281509012670183, min values: -2.6685266729136536, max values: 6.0, median values: 0.0620567472217581, and quantile values: 0.25 -0.626373\n0.50 0.062057\n0.75 0.745020\nName: 4868, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5647332254764816, std values: 0.878988264050285, min values: -2.400559513936255, max values: 6.0, median values: -0.7603301393497578, and quantile values: 0.25 -1.229877\n0.50 -0.760330\n0.75 -0.031274\nName: 4869, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13357805113029603, std values: 0.8126869926010062, min values: -2.386908851828305, max values: 3.0, median values: 0.0766342339350325, and quantile values: 0.25 -0.401646\n0.50 0.076634\n0.75 0.659066\nName: 4870, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05673854628893176, std values: 0.8535100653387401, min values: -2.108828940494985, max values: 4.0, median values: -0.0238731169671232, and quantile values: 0.25 -0.539916\n0.50 -0.023873\n0.75 0.623661\nName: 4871, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.007903025220349429, std values: 0.9581382143134133, min values: -2.8467638118011016, max values: 5.0, median values: 0.0830713953940727, and quantile values: 0.25 -0.624230\n0.50 0.083071\n0.75 0.578456\nName: 4872, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7595081353446257, std values: 0.9420377672878563, min values: -2.837386543755612, max values: 4.0, median values: -0.6586847183162944, and quantile values: 0.25 -1.436936\n0.50 -0.658685\n0.75 -0.154640\nName: 4873, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.006396214627352166, std values: 0.7047875224796124, min values: -2.5039074859839925, max values: 4.0, median values: 0.0025611589144869, and quantile values: 0.25 -0.472663\n0.50 0.002561\n0.75 0.426350\nName: 4874, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5206677678643491, std values: 1.7101426782019045, min values: -2.769191083399913, max values: 4.278004674434932, median values: 0.6613065639939932, and quantile values: 0.25 -0.581263\n0.50 0.661307\n0.75 1.890834\nName: 4875, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3045310098903671, std values: 0.8874821175177461, min values: -3.00972886875607, max values: 3.9905524164385566, median values: -0.3169738315526528, and quantile values: 0.25 -0.855974\n0.50 -0.316974\n0.75 0.207671\nName: 4876, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0028596745111736494, std values: 0.9307050799216554, min values: -2.109891368636471, max values: 5.0, median values: -0.1054394933747004, and quantile values: 0.25 -0.749366\n0.50 -0.105439\n0.75 0.674836\nName: 4877, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06296043585579839, std values: 0.8160605619174346, min values: -2.525362520654854, max values: 5.0, median values: 0.1367167752602035, and quantile values: 0.25 -0.483247\n0.50 0.136717\n0.75 0.619953\nName: 4878, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09503240125532128, std values: 0.9568409017704924, min values: -2.6072570508709387, max values: 4.0, median values: -0.1733009143088932, and quantile values: 0.25 -0.717294\n0.50 -0.173301\n0.75 0.544258\nName: 4879, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.001718158246892143, std values: 0.8285906163844987, min values: -1.9604341550668736, max values: 5.0, median values: 0.0018451350219205, and quantile values: 0.25 -0.564421\n0.50 0.001845\n0.75 0.520294\nName: 4880, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37324957868882924, std values: 0.889805966827945, min values: -2.048198631046896, max values: 6.0, median values: 0.4180707259130007, and quantile values: 0.25 -0.273791\n0.50 0.418071\n0.75 1.035962\nName: 4881, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05956545398436387, std values: 1.112267161785108, min values: -2.5953860446419177, max values: 3.760287110694155, median values: 0.16584412450079, and quantile values: 0.25 -0.528293\n0.50 0.165844\n0.75 0.790708\nName: 4882, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2308094451248982, std values: 0.9870872900939099, min values: -3.00972886875607, max values: 3.867701659180865, median values: 0.2342820947175084, and quantile values: 0.25 -0.382173\n0.50 0.234282\n0.75 0.942672\nName: 4883, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21600883167459986, std values: 0.8794740951523607, min values: -2.673549169958716, max values: 6.0, median values: 0.3012303492580952, and quantile values: 0.25 -0.290757\n0.50 0.301230\n0.75 0.842282\nName: 4884, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13121014331312977, std values: 0.7568226453318665, min values: -2.72346435408924, max values: 4.0, median values: -0.1520335687357696, and quantile values: 0.25 -0.612693\n0.50 -0.152034\n0.75 0.309020\nName: 4885, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4985098334122237, std values: 0.8625082968382817, min values: -2.4176069991382847, max values: 6.0, median values: 0.5322214600734564, and quantile values: 0.25 -0.097257\n0.50 0.532221\n0.75 1.118075\nName: 4886, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08384156308717797, std values: 1.1980266966831914, min values: -2.497627580948261, max values: 3.32433157891547, median values: -0.150479651381156, and quantile values: 0.25 -1.016242\n0.50 -0.150480\n0.75 0.742277\nName: 4887, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3856051008108186, std values: 0.9684984913892412, min values: -2.5631960397140583, max values: 4.0, median values: 0.3946618532365279, and quantile values: 0.25 -0.351156\n0.50 0.394662\n0.75 1.206780\nName: 4888, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09981238816888996, std values: 1.020427487046934, min values: -2.0773212586940626, max values: 5.0, median values: -0.040378703451366, and quantile values: 0.25 -0.615857\n0.50 -0.040379\n0.75 0.729666\nName: 4889, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1518851848238651, std values: 1.111649726014632, min values: -2.9797100147087465, max values: 5.0, median values: -0.0158357798286652, and quantile values: 0.25 -0.650515\n0.50 -0.015836\n0.75 0.531080\nName: 4890, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6805346319587653, std values: 1.0345484434186754, min values: -2.097789552389633, max values: 6.0, median values: 0.7770408060971731, and quantile values: 0.25 -0.037824\n0.50 0.777041\n0.75 1.438956\nName: 4891, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2896635021219729, std values: 0.9139031830130483, min values: -2.5879430435308, max values: 3.041094191308108, median values: 0.3924911415693982, and quantile values: 0.25 -0.320712\n0.50 0.392491\n0.75 0.963165\nName: 4892, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5732405335972781, std values: 1.015097938603464, min values: -2.623568901859613, max values: 4.0, median values: 0.7229280111725956, and quantile values: 0.25 -0.022061\n0.50 0.722928\n0.75 1.310608\nName: 4893, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40956356908749725, std values: 1.2887144099886425, min values: -2.6820581866633817, max values: 3.1485882570365185, median values: -0.1724372635028286, and quantile values: 0.25 -1.778987\n0.50 -0.172437\n0.75 0.541656\nName: 4894, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1741611983516403, std values: 0.8699502727462717, min values: -2.876502173242568, max values: 3.1175233493066874, median values: -0.2423001830290689, and quantile values: 0.25 -0.728156\n0.50 -0.242300\n0.75 0.376611\nName: 4895, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16750874573490465, std values: 0.8052065496344497, min values: -2.5213149333948146, max values: 3.709787027503053, median values: 0.1753166034725524, and quantile values: 0.25 -0.391623\n0.50 0.175317\n0.75 0.738671\nName: 4896, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2615146801275459, std values: 1.1308694513549344, min values: -2.146975780172544, max values: 3.867701659180865, median values: -0.5081010896809605, and quantile values: 0.25 -1.117071\n0.50 -0.508101\n0.75 0.330092\nName: 4897, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3229428912607007, std values: 0.9802825152144942, min values: -3.447534482420193, max values: 3.090297571450676, median values: 0.4261691178054786, and quantile values: 0.25 -0.244527\n0.50 0.426169\n0.75 1.056444\nName: 4898, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41694110421727787, std values: 1.475958378250378, min values: -2.732564679617164, max values: 3.760287110694155, median values: 0.2225229190411832, and quantile values: 0.25 -0.671761\n0.50 0.222523\n0.75 1.489056\nName: 4899, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0030521937880834235, std values: 1.259481549051322, min values: -3.2119459948042475, max values: 3.082096909284949, median values: 0.1090764346541096, and quantile values: 0.25 -0.942672\n0.50 0.109076\n0.75 1.042913\nName: 4900, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26852438415522245, std values: 0.8022354091637312, min values: -2.429024008314812, max values: 5.0, median values: -0.2997897841038882, and quantile values: 0.25 -0.845116\n0.50 -0.299790\n0.75 0.218018\nName: 4901, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21439792451063988, std values: 0.9326897576052924, min values: -2.8246479422601736, max values: 5.0, median values: -0.2448817261135664, and quantile values: 0.25 -0.808228\n0.50 -0.244882\n0.75 0.397448\nName: 4902, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08158120611391456, std values: 0.8925480419120775, min values: -3.002493140275396, max values: 5.0, median values: 0.1463456001096609, and quantile values: 0.25 -0.496355\n0.50 0.146346\n0.75 0.755067\nName: 4903, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.013411349608314449, std values: 1.0522728370158443, min values: -2.727901130262228, max values: 4.0, median values: 0.1884363420137765, and quantile values: 0.25 -0.460993\n0.50 0.188436\n0.75 0.685106\nName: 4904, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24112180345901513, std values: 0.7948682531797813, min values: -2.321103531050575, max values: 4.0, median values: -0.3182192769689898, and quantile values: 0.25 -0.808184\n0.50 -0.318219\n0.75 0.281153\nName: 4905, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2085430824066284, std values: 1.0834743969776028, min values: -2.5213149333948146, max values: 3.5021977227593246, median values: 0.1929370853119186, and quantile values: 0.25 -0.671481\n0.50 0.192937\n0.75 1.116557\nName: 4906, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15932582308208187, std values: 0.8922688078493104, min values: -2.130436724129704, max values: 3.4758930087721422, median values: 0.1996352895324749, and quantile values: 0.25 -0.468418\n0.50 0.199635\n0.75 0.731055\nName: 4907, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09133484869316535, std values: 0.7300528532004761, min values: -2.009390704747527, max values: 2.585929927197377, median values: -0.1580705195742405, and quantile values: 0.25 -0.622825\n0.50 -0.158071\n0.75 0.358788\nName: 4908, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07615393968284158, std values: 0.8567267156922336, min values: -2.182528720823968, max values: 3.598076523509904, median values: -0.1409965428793486, and quantile values: 0.25 -0.742277\n0.50 -0.140997\n0.75 0.483194\nName: 4909, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07611884922517834, std values: 0.8038133832520096, min values: -2.0596579231769727, max values: 4.0, median values: 0.0012392694048647, and quantile values: 0.25 -0.508531\n0.50 0.001239\n0.75 0.612718\nName: 4910, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.141212123815947, std values: 0.9448636933835957, min values: -2.6466193392086392, max values: 4.0, median values: -0.0479728038985595, and quantile values: 0.25 -0.750242\n0.50 -0.047973\n0.75 0.555434\nName: 4911, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6035410582448009, std values: 0.8053182715408594, min values: -2.095777247368972, max values: 4.0, median values: -0.7596528886616543, and quantile values: 0.25 -1.198510\n0.50 -0.759653\n0.75 -0.110574\nName: 4912, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5801131872472124, std values: 0.9714373753329262, min values: -2.783691185534105, max values: 3.3636961113187773, median values: 0.6523201210735058, and quantile values: 0.25 -0.054582\n0.50 0.652320\n0.75 1.223915\nName: 4913, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.021702253342250413, std values: 0.7527712796076393, min values: -2.0148114180740584, max values: 6.0, median values: -0.026468370036311, and quantile values: 0.25 -0.506473\n0.50 -0.026468\n0.75 0.419183\nName: 4914, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06001817556002365, std values: 0.8706355031156051, min values: -2.8282523283494294, max values: 4.0, median values: 0.0410410181858648, and quantile values: 0.25 -0.495903\n0.50 0.041041\n0.75 0.577562\nName: 4915, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3000224398817831, std values: 1.0308499203984238, min values: -3.2266531185902174, max values: 3.379902545505621, median values: -0.3735416794989624, and quantile values: 0.25 -1.158645\n0.50 -0.373542\n0.75 0.444669\nName: 4916, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39414939924799064, std values: 0.9669395252537586, min values: -2.933035609461076, max values: 5.0, median values: -0.5227896644796085, and quantile values: 0.25 -1.073109\n0.50 -0.522790\n0.75 0.239222\nName: 4917, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5948014066005541, std values: 1.2821513942671001, min values: -2.608390851963037, max values: 5.0, median values: 0.4307877324426519, and quantile values: 0.25 -0.278794\n0.50 0.430788\n0.75 1.389907\nName: 4918, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7941900745822427, std values: 1.0952852970604827, min values: -2.5213149333948146, max values: 4.243835016543704, median values: 0.7961314961247251, and quantile values: 0.25 -0.009419\n0.50 0.796131\n0.75 1.674927\nName: 4919, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36504862911943514, std values: 0.8960906058930178, min values: -2.037689232396769, max values: 3.336438412828754, median values: 0.3621085301465736, and quantile values: 0.25 -0.218714\n0.50 0.362109\n0.75 0.908182\nName: 4920, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.057815304238572174, std values: 0.7647339427839877, min values: -1.9492677436504309, max values: 3.0, median values: 0.0340451666053028, and quantile values: 0.25 -0.449965\n0.50 0.034045\n0.75 0.576306\nName: 4921, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25158157850779, std values: 0.896069590491885, min values: -2.801183634509044, max values: 5.0, median values: -0.3930440188544141, and quantile values: 0.25 -0.918829\n0.50 -0.393044\n0.75 0.333728\nName: 4922, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03158472803621185, std values: 0.7326828050921974, min values: -2.45229857681487, max values: 3.0876051304901218, median values: 0.0622514915027996, and quantile values: 0.25 -0.455934\n0.50 0.062251\n0.75 0.513090\nName: 4923, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0979561161562218, std values: 1.085353308163529, min values: -2.855306289371099, max values: 6.0, median values: 0.2035668040640119, and quantile values: 0.25 -0.600785\n0.50 0.203567\n0.75 0.870905\nName: 4924, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46955898729898177, std values: 0.9819177951210251, min values: -2.6320986139293034, max values: 3.3636961113187773, median values: -0.5359991806638633, and quantile values: 0.25 -1.127254\n0.50 -0.535999\n0.75 0.085187\nName: 4925, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49664090038624475, std values: 1.1265768376749263, min values: -2.9029979285382743, max values: 3.0, median values: -0.4372106994085409, and quantile values: 0.25 -1.286009\n0.50 -0.437211\n0.75 0.277860\nName: 4926, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5715851265965524, std values: 1.1498455898624595, min values: -2.688157591415518, max values: 4.0, median values: 0.6727620895185524, and quantile values: 0.25 -0.125994\n0.50 0.672762\n0.75 1.498432\nName: 4927, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1326597067284558, std values: 0.9666537232615822, min values: -2.308265050820812, max values: 3.236860296211547, median values: -0.1749086729561143, and quantile values: 0.25 -0.923351\n0.50 -0.174909\n0.75 0.545660\nName: 4928, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2749560445641551, std values: 1.0376169748667736, min values: -2.6820581866633817, max values: 3.5581019918925243, median values: -0.1725042888754683, and quantile values: 0.25 -0.938442\n0.50 -0.172504\n0.75 0.471699\nName: 4929, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35868167452473887, std values: 1.003861865993238, min values: -2.8843374390620142, max values: 6.0, median values: 0.3065947702906821, and quantile values: 0.25 -0.299358\n0.50 0.306595\n0.75 0.914637\nName: 4930, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6291165135737422, std values: 0.9713024689976999, min values: -2.634919142586459, max values: 6.0, median values: -0.8377074551807919, and quantile values: 0.25 -1.337523\n0.50 -0.837707\n0.75 -0.096095\nName: 4931, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12813735948498992, std values: 1.6651117062432874, min values: -2.9265160609644223, max values: 6.0, median values: 0.5588972107387172, and quantile values: 0.25 -1.702969\n0.50 0.558897\n0.75 1.448336\nName: 4932, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4328789316217126, std values: 0.818938148450478, min values: -2.632854336056873, max values: 3.02009942896863, median values: -0.4788309620404701, and quantile values: 0.25 -1.024365\n0.50 -0.478831\n0.75 0.014486\nName: 4933, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.014004457904990083, std values: 1.0450751141834467, min values: -2.5820330744015787, max values: 4.0, median values: -0.1231151960668164, and quantile values: 0.25 -0.767640\n0.50 -0.123115\n0.75 0.670140\nName: 4934, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08252968930525531, std values: 0.9179384806533387, min values: -2.168439708950287, max values: 3.0533207538164056, median values: 0.1256399072219928, and quantile values: 0.25 -0.634883\n0.50 0.125640\n0.75 0.808298\nName: 4935, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5240628717304623, std values: 1.0528448693604429, min values: -2.579723791499676, max values: 4.0, median values: 0.6940090167027589, and quantile values: 0.25 -0.121110\n0.50 0.694009\n0.75 1.307588\nName: 4936, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1436949053260061, std values: 0.777903678196749, min values: -2.100142517103964, max values: 2.845689559087586, median values: -0.2170214786951849, and quantile values: 0.25 -0.657540\n0.50 -0.217021\n0.75 0.348556\nName: 4937, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0844424581849762, std values: 0.8508298166998752, min values: -2.4737574649270093, max values: 3.00464355837442, median values: 0.1318259617847166, and quantile values: 0.25 -0.513404\n0.50 0.131826\n0.75 0.614601\nName: 4938, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4453051346900872, std values: 1.1238021832501865, min values: -2.5293911731823453, max values: 3.2936960268109283, median values: -0.4634449232864789, and quantile values: 0.25 -1.160868\n0.50 -0.463445\n0.75 0.356351\nName: 4939, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3231485160322852, std values: 0.7737353693626402, min values: -2.1355258137915776, max values: 5.0, median values: -0.3760824028672798, and quantile values: 0.25 -0.854475\n0.50 -0.376082\n0.75 0.141880\nName: 4940, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15038809789696964, std values: 0.8428180833971018, min values: -2.788272971802125, max values: 6.0, median values: -0.2261660279813561, and quantile values: 0.25 -0.827379\n0.50 -0.226166\n0.75 0.423728\nName: 4941, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23122061873775207, std values: 0.7751621939483755, min values: -2.4540853055744134, max values: 3.090297571450676, median values: -0.2450627890072916, and quantile values: 0.25 -0.772472\n0.50 -0.245063\n0.75 0.249510\nName: 4942, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4335669132508197, std values: 1.1361254116738138, min values: -2.5122218748354936, max values: 3.5581019918925243, median values: 0.3597571032010547, and quantile values: 0.25 -0.303392\n0.50 0.359757\n0.75 1.235824\nName: 4943, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21499704338919418, std values: 0.9567475657172989, min values: -2.029096409110464, max values: 3.5021977227593246, median values: 0.2565903101176044, and quantile values: 0.25 -0.531557\n0.50 0.256590\n0.75 0.990447\nName: 4944, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28222220599071823, std values: 0.9428565695439605, min values: -2.1238235090034925, max values: 3.9905524164385566, median values: -0.3012994226367533, and quantile values: 0.25 -1.063289\n0.50 -0.301299\n0.75 0.386863\nName: 4945, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09184762418470348, std values: 0.8381298011521005, min values: -2.589966702820638, max values: 6.0, median values: 0.0713045796543318, and quantile values: 0.25 -0.491685\n0.50 0.071305\n0.75 0.632860\nName: 4946, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2908041665088503, std values: 0.9193002011089277, min values: -2.5563022890751474, max values: 4.0, median values: 0.3484177850193163, and quantile values: 0.25 -0.232216\n0.50 0.348418\n0.75 0.891205\nName: 4947, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4359746643198363, std values: 1.1023283717593195, min values: -2.8843374390620142, max values: 6.0, median values: -0.5882908315160146, and quantile values: 0.25 -1.300631\n0.50 -0.588291\n0.75 0.260485\nName: 4948, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3435361015694406, std values: 1.1028070160711516, min values: -2.622408470084112, max values: 4.278004674434932, median values: -0.4473458636774704, and quantile values: 0.25 -1.193618\n0.50 -0.447346\n0.75 0.440599\nName: 4949, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2434398197454272, std values: 0.962158542745287, min values: -2.521882829270847, max values: 4.0, median values: 0.2606908584314225, and quantile values: 0.25 -0.402287\n0.50 0.260691\n0.75 0.992888\nName: 4950, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38371488550808597, std values: 0.7591285064233871, min values: -2.077731782356476, max values: 6.0, median values: 0.3783001329470969, and quantile values: 0.25 -0.08379\n0.50 0.37830\n0.75 0.80646\nName: 4951, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41314824128431493, std values: 0.8357783026565112, min values: -2.0926957556498853, max values: 3.477886732511886, median values: -0.5248453033200048, and quantile values: 0.25 -1.039256\n0.50 -0.524845\n0.75 0.090241\nName: 4952, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07842959797690953, std values: 0.9450190646996781, min values: -2.7884838087481176, max values: 6.0, median values: 0.0234931949610991, and quantile values: 0.25 -0.533545\n0.50 0.023493\n0.75 0.707285\nName: 4953, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5338436517756733, std values: 1.05478807524568, min values: -2.510124273981921, max values: 3.236860296211547, median values: 0.5595512838683627, and quantile values: 0.25 -0.080088\n0.50 0.559551\n0.75 1.251279\nName: 4954, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.442979489614523, std values: 0.8574927695520118, min values: -2.6652153608723106, max values: 3.2936960268109283, median values: 0.4502506094018941, and quantile values: 0.25 -0.168453\n0.50 0.450251\n0.75 1.118605\nName: 4955, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26374066020151415, std values: 1.2220102773674235, min values: -3.124705982383478, max values: 3.197902420311553, median values: -0.3308910638426975, and quantile values: 0.25 -1.090120\n0.50 -0.330891\n0.75 0.510704\nName: 4956, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4705749935996273, std values: 0.9016584737652287, min values: -2.6800544037614658, max values: 4.0, median values: -0.5406982158570144, and quantile values: 0.25 -1.063282\n0.50 -0.540698\n0.75 0.018507\nName: 4957, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26118458617952567, std values: 0.8178999038895048, min values: -2.6412681606926487, max values: 3.5908526919299577, median values: 0.3137321820835259, and quantile values: 0.25 -0.286517\n0.50 0.313732\n0.75 0.827809\nName: 4958, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0062210469713100906, std values: 0.7459103869493843, min values: -2.662750916816848, max values: 5.0, median values: 0.0357193303346957, and quantile values: 0.25 -0.494220\n0.50 0.035719\n0.75 0.479002\nName: 4959, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23519347150952988, std values: 1.1327837220123063, min values: -2.7211321814067784, max values: 3.0932086550988465, median values: 0.3897102253564822, and quantile values: 0.25 -0.454571\n0.50 0.389710\n0.75 1.123570\nName: 4960, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2539140124660595, std values: 0.7823686779124911, min values: -2.3184884946917497, max values: 6.0, median values: 0.3164706144478028, and quantile values: 0.25 -0.260007\n0.50 0.316471\n0.75 0.794591\nName: 4961, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7240937524880909, std values: 1.0295559471777354, min values: -2.605098146828148, max values: 6.0, median values: 0.7356318411585507, and quantile values: 0.25 0.061346\n0.50 0.735632\n0.75 1.422383\nName: 4962, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17782490095416917, std values: 0.7551317124906262, min values: -2.73836943861057, max values: 3.0418703198091483, median values: 0.2262507869834789, and quantile values: 0.25 -0.324657\n0.50 0.226251\n0.75 0.669794\nName: 4963, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06603381202437333, std values: 0.86256005435141, min values: -2.058629196027331, max values: 4.243835016543704, median values: -0.1175921278339034, and quantile values: 0.25 -0.754371\n0.50 -0.117592\n0.75 0.540999\nName: 4964, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7641250409919077, std values: 0.9197938059773191, min values: -2.275531026921315, max values: 6.0, median values: 0.7994721318501838, and quantile values: 0.25 0.183304\n0.50 0.799472\n0.75 1.345311\nName: 4965, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.004805980633844918, std values: 0.7473655061502837, min values: -2.39180940730784, max values: 4.0, median values: 0.04247839204616, and quantile values: 0.25 -0.518401\n0.50 0.042478\n0.75 0.462556\nName: 4966, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26928517062962537, std values: 0.9195815074110417, min values: -3.530441124712342, max values: 3.670892362631932, median values: 0.2798749572390137, and quantile values: 0.25 -0.221068\n0.50 0.279875\n0.75 0.748564\nName: 4967, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.620621387464922, std values: 0.8817538372180977, min values: -2.2477784840641744, max values: 4.0, median values: 0.6834329749521815, and quantile values: 0.25 0.056568\n0.50 0.683433\n0.75 1.213613\nName: 4968, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0025117958342223703, std values: 0.9586114612362003, min values: -2.643887016977268, max values: 6.0, median values: 0.037469455335426, and quantile values: 0.25 -0.609527\n0.50 0.037469\n0.75 0.567654\nName: 4969, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06925002743478904, std values: 1.348345019096609, min values: -2.5293911731823453, max values: 3.2071942083719924, median values: -0.0389358644234742, and quantile values: 0.25 -1.074539\n0.50 -0.038936\n0.75 1.095616\nName: 4970, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3285111284381264, std values: 0.9305443959191955, min values: -1.896126576059412, max values: 3.3636961113187773, median values: 0.2920130566502237, and quantile values: 0.25 -0.347240\n0.50 0.292013\n0.75 0.963178\nName: 4971, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.011829309890013276, std values: 0.9244804947174181, min values: -2.102258330765142, max values: 4.243835016543704, median values: -0.0851871357046466, and quantile values: 0.25 -0.714092\n0.50 -0.085187\n0.75 0.536627\nName: 4972, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.026290015177974153, std values: 0.9633005713614102, min values: -2.7871422803648627, max values: 4.278004674434932, median values: -0.0736239641056813, and quantile values: 0.25 -0.759102\n0.50 -0.073624\n0.75 0.670829\nName: 4973, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25161966633126825, std values: 0.8302005773267783, min values: -2.458914737258892, max values: 5.0, median values: -0.2466705338363068, and quantile values: 0.25 -0.858697\n0.50 -0.246671\n0.75 0.279714\nName: 4974, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27339130377452675, std values: 0.9466261073821568, min values: -1.8755875925430705, max values: 3.9048392686725855, median values: 0.1218039649157546, and quantile values: 0.25 -0.418401\n0.50 0.121804\n0.75 0.935034\nName: 4975, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5526076566735112, std values: 0.8950925277838164, min values: -2.584593648802428, max values: 3.1801075704642923, median values: 0.5218639328568391, and quantile values: 0.25 -0.062941\n0.50 0.521864\n0.75 1.189101\nName: 4976, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20477855387875046, std values: 0.9742701540998006, min values: -2.5953860446419177, max values: 5.0, median values: 0.3259928091964917, and quantile values: 0.25 -0.418191\n0.50 0.325993\n0.75 0.869312\nName: 4977, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5931622346127701, std values: 0.9023521872141597, min values: -2.271143658239337, max values: 6.0, median values: 0.6479473722843896, and quantile values: 0.25 0.027240\n0.50 0.647947\n0.75 1.180132\nName: 4978, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07435924309095421, std values: 1.0788744770386482, min values: -2.623568901859613, max values: 4.0, median values: -0.0934113218530971, and quantile values: 0.25 -0.726586\n0.50 -0.093411\n0.75 0.630264\nName: 4979, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19486351754399042, std values: 0.9962762419677444, min values: -2.497627580948261, max values: 3.022367128892113, median values: 0.2369848546571589, and quantile values: 0.25 -0.325151\n0.50 0.236985\n0.75 0.834757\nName: 4980, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2985388260964227, std values: 0.940399956374105, min values: -2.6466193392086392, max values: 4.0, median values: 0.4488987134043692, and quantile values: 0.25 -0.289843\n0.50 0.448899\n0.75 1.006515\nName: 4981, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14053016623421113, std values: 0.8733807195174097, min values: -2.034308917749128, max values: 6.0, median values: -0.2545968523400548, and quantile values: 0.25 -0.749895\n0.50 -0.254597\n0.75 0.400007\nName: 4982, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11200024855060893, std values: 0.7831905377934559, min values: -2.620939317041317, max values: 2.985133931273498, median values: 0.1331712236915227, and quantile values: 0.25 -0.375521\n0.50 0.133171\n0.75 0.579994\nName: 4983, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07384307846904126, std values: 0.8885327535846126, min values: -2.56026492390943, max values: 4.0, median values: 0.1237185502984158, and quantile values: 0.25 -0.457508\n0.50 0.123719\n0.75 0.647184\nName: 4984, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25823687642718435, std values: 1.1127277571513559, min values: -2.4200163349625687, max values: 5.0, median values: 0.1659950523995421, and quantile values: 0.25 -0.546683\n0.50 0.165995\n0.75 1.009480\nName: 4985, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7205684745139371, std values: 0.8499270906517528, min values: -2.196708653609315, max values: 6.0, median values: 0.7646973763846207, and quantile values: 0.25 0.181584\n0.50 0.764697\n0.75 1.291326\nName: 4986, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6741048864338939, std values: 1.01711291836553, min values: -2.2915911556076085, max values: 3.191712471143802, median values: 0.7561662092685484, and quantile values: 0.25 -0.085519\n0.50 0.756166\n0.75 1.496981\nName: 4987, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9334961136217349, std values: 1.3359406489781973, min values: -2.9029979285382743, max values: 3.124705982383484, median values: -1.2800915876558958, and quantile values: 0.25 -2.059264\n0.50 -1.280092\n0.75 0.223935\nName: 4988, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20440447563180916, std values: 1.0016098692581534, min values: -2.6320986139293034, max values: 3.477886732511886, median values: -0.1556170668259409, and quantile values: 0.25 -0.877605\n0.50 -0.155617\n0.75 0.453533\nName: 4989, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43726889522343027, std values: 1.0427448068565446, min values: -2.7211321814067784, max values: 3.528773265847577, median values: -0.4871291438980472, and quantile values: 0.25 -1.116134\n0.50 -0.487129\n0.75 0.211836\nName: 4990, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08632367501455174, std values: 0.9114159724054968, min values: -2.1301704007793827, max values: 3.4566816047670264, median values: -0.2089926630882775, and quantile values: 0.25 -0.772090\n0.50 -0.208993\n0.75 0.517367\nName: 4991, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2184505861854664, std values: 0.9875877682082174, min values: -2.9797100147087465, max values: 5.0, median values: -0.0764132734166426, and quantile values: 0.25 -0.811509\n0.50 -0.076413\n0.75 0.452862\nName: 4992, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3281198135854481, std values: 0.8566150354831548, min values: -2.212004168819108, max values: 3.2906806286429298, median values: 0.3955740979596152, and quantile values: 0.25 -0.258982\n0.50 0.395574\n0.75 0.889281\nName: 4993, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2714115959181827, std values: 0.9112815992962691, min values: -2.673549169958716, max values: 6.0, median values: 0.3825040343714728, and quantile values: 0.25 -0.250424\n0.50 0.382504\n0.75 0.854127\nName: 4994, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18350998966961235, std values: 1.138734704890198, min values: -2.6899145007874274, max values: 4.026668017837955, median values: 0.2197572612049452, and quantile values: 0.25 -0.592188\n0.50 0.219757\n0.75 1.020976\nName: 4995, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22490013838429876, std values: 0.7471243179558444, min values: -2.4788285026914285, max values: 4.0, median values: 0.1767568172031305, and quantile values: 0.25 -0.268439\n0.50 0.176757\n0.75 0.708516\nName: 4996, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.173417380486028, std values: 0.9530877545501589, min values: -2.6122411453164007, max values: 4.0, median values: -0.1592821230432096, and quantile values: 0.25 -0.795158\n0.50 -0.159282\n0.75 0.468295\nName: 4997, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14306752928184788, std values: 0.7294146031619676, min values: -2.5825978442440407, max values: 6.0, median values: -0.1759406512669545, and quantile values: 0.25 -0.634738\n0.50 -0.175941\n0.75 0.305065\nName: 4998, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06292267413759527, std values: 0.9110589311388846, min values: -3.066111439712689, max values: 3.867701659180865, median values: 0.1081369504335046, and quantile values: 0.25 -0.607280\n0.50 0.108137\n0.75 0.666308\nName: 4999, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.015226114479417364, std values: 0.7635189978925742, min values: -2.12073996675014, max values: 3.0133870328644305, median values: -0.1012419672821864, and quantile values: 0.25 -0.545084\n0.50 -0.101242\n0.75 0.475744\nName: 5000, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30899979466833577, std values: 0.8017226030211867, min values: -2.4540853055744134, max values: 4.278004674434932, median values: 0.3901895391101967, and quantile values: 0.25 -0.224245\n0.50 0.390190\n0.75 0.846434\nName: 5001, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08189781147156361, std values: 0.8412994748866701, min values: -2.3034680605635955, max values: 3.670892362631932, median values: -0.1686962539761085, and quantile values: 0.25 -0.683924\n0.50 -0.168696\n0.75 0.408742\nName: 5002, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1776901917005976, std values: 1.0029635088946531, min values: -2.64479559868397, max values: 6.0, median values: 0.3163215288824771, and quantile values: 0.25 -0.295320\n0.50 0.316322\n0.75 0.793572\nName: 5003, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06269168958652839, std values: 0.7936246133785814, min values: -2.981718296512785, max values: 5.0, median values: -0.0325296648474014, and quantile values: 0.25 -0.627479\n0.50 -0.032530\n0.75 0.470786\nName: 5004, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2311944705163891, std values: 0.804079413517947, min values: -2.5631847770497496, max values: 4.0, median values: 0.2562084443532517, and quantile values: 0.25 -0.305308\n0.50 0.256208\n0.75 0.709245\nName: 5005, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28030241892719493, std values: 0.9058703590291386, min values: -2.037108201786327, max values: 3.528773265847577, median values: 0.2842280187761034, and quantile values: 0.25 -0.368201\n0.50 0.284228\n0.75 0.924472\nName: 5006, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09397183288987393, std values: 0.9232684101351402, min values: -2.643887016977268, max values: 6.0, median values: 0.0577238658019835, and quantile values: 0.25 -0.450068\n0.50 0.057724\n0.75 0.671209\nName: 5007, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.003697670264325839, std values: 0.9813438269757939, min values: -2.6122411453164007, max values: 4.0, median values: 0.0457250601564876, and quantile values: 0.25 -0.594389\n0.50 0.045725\n0.75 0.623475\nName: 5008, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36652121122193887, std values: 0.931511780104031, min values: -2.221075353514828, max values: 3.306454397423372, median values: -0.4690633006746741, and quantile values: 0.25 -1.114022\n0.50 -0.469063\n0.75 0.232556\nName: 5009, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.026168077087667278, std values: 0.7755523535318817, min values: -2.732564679617164, max values: 3.867701659180865, median values: -0.0947667345986517, and quantile values: 0.25 -0.538769\n0.50 -0.094767\n0.75 0.442147\nName: 5010, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14329376568152796, std values: 0.820149546444057, min values: -2.7648443048846945, max values: 3.1395741599540568, median values: 0.110193952492204, and quantile values: 0.25 -0.404004\n0.50 0.110194\n0.75 0.687477\nName: 5011, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5857609274074841, std values: 0.9416117741652108, min values: -2.0692886635397403, max values: 3.630507857092792, median values: 0.5897526328946269, and quantile values: 0.25 -0.054244\n0.50 0.589753\n0.75 1.237896\nName: 5012, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41048458155961237, std values: 0.9866019527120937, min values: -2.579723791499676, max values: 4.0, median values: 0.435183216094246, and quantile values: 0.25 -0.322046\n0.50 0.435183\n0.75 1.125488\nName: 5013, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2683694785112885, std values: 0.89506148874287, min values: -2.960014365184806, max values: 6.0, median values: -0.3030751857112518, and quantile values: 0.25 -0.805857\n0.50 -0.303075\n0.75 0.311158\nName: 5014, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3812828451494506, std values: 0.9501821790430754, min values: -2.134987510471223, max values: 2.975781014280383, median values: -0.4316783275180458, and quantile values: 0.25 -1.169916\n0.50 -0.431678\n0.75 0.307587\nName: 5015, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18306241205998422, std values: 1.1277668069713882, min values: -2.693453432157769, max values: 3.312693232344632, median values: -0.2394651828353086, and quantile values: 0.25 -1.068747\n0.50 -0.239465\n0.75 0.622825\nName: 5016, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28725818947620335, std values: 0.7872605068412581, min values: -2.374446373878101, max values: 4.0, median values: 0.2780822227645926, and quantile values: 0.25 -0.199657\n0.50 0.278082\n0.75 0.798600\nName: 5017, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21001576144976608, std values: 1.0627122151549924, min values: -2.919359491767569, max values: 5.0, median values: -0.2550363116844213, and quantile values: 0.25 -0.928533\n0.50 -0.255036\n0.75 0.545601\nName: 5018, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3292217819814926, std values: 0.8347526949279671, min values: -2.4742617135103684, max values: 3.5021977227593246, median values: -0.348614689597394, and quantile values: 0.25 -0.961113\n0.50 -0.348615\n0.75 0.184108\nName: 5019, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.017092652438310617, std values: 0.7805073135069334, min values: -2.841647375415054, max values: 5.0, median values: -0.0840662786546959, and quantile values: 0.25 -0.537655\n0.50 -0.084066\n0.75 0.471936\nName: 5020, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14128707719441047, std values: 0.8499602785770132, min values: -2.18611961025537, max values: 3.9905524164385566, median values: 0.1287611777220505, and quantile values: 0.25 -0.414541\n0.50 0.128761\n0.75 0.676910\nName: 5021, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13745223013403732, std values: 1.0205518742905626, min values: -2.5825978442440407, max values: 6.0, median values: -0.2482301682374356, and quantile values: 0.25 -0.928575\n0.50 -0.248230\n0.75 0.575143\nName: 5022, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09750087962851674, std values: 0.9006107814366795, min values: -2.2276120832807416, max values: 6.0, median values: -0.1317883399950375, and quantile values: 0.25 -0.738268\n0.50 -0.131788\n0.75 0.452370\nName: 5023, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5023428727633209, std values: 0.922584140145311, min values: -1.9858984077066573, max values: 6.0, median values: 0.6247383636772111, and quantile values: 0.25 -0.164646\n0.50 0.624738\n0.75 1.193763\nName: 5024, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16363647455863664, std values: 0.8920261841976984, min values: -2.8531572940820533, max values: 3.0, median values: 0.2717486272246018, and quantile values: 0.25 -0.301259\n0.50 0.271749\n0.75 0.739851\nName: 5025, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33773058451456295, std values: 0.8768210124034909, min values: -2.525362520654854, max values: 5.0, median values: 0.3760232887597681, and quantile values: 0.25 -0.311232\n0.50 0.376023\n0.75 1.049145\nName: 5026, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3241256563409642, std values: 0.8345878928328702, min values: -2.1062910125783354, max values: 3.867701659180865, median values: -0.4314828267960139, and quantile values: 0.25 -0.884518\n0.50 -0.431483\n0.75 0.109328\nName: 5027, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1837983697784633, std values: 0.9001211758390134, min values: -2.0922737152526745, max values: 4.0, median values: 0.2086267614094018, and quantile values: 0.25 -0.461973\n0.50 0.208627\n0.75 0.809062\nName: 5028, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10003859350378425, std values: 0.954546129297493, min values: -2.916688926075616, max values: 6.0, median values: 0.1397473781757011, and quantile values: 0.25 -0.422854\n0.50 0.139747\n0.75 0.691039\nName: 5029, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5714338946092775, std values: 0.888561986472272, min values: -2.5039074859839925, max values: 4.0, median values: 0.6200861733059476, and quantile values: 0.25 -0.047334\n0.50 0.620086\n0.75 1.258906\nName: 5030, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.1492390100632173, std values: 1.1806932539263535, min values: -2.727901130262228, max values: 4.0, median values: -1.6924813923394355, and quantile values: 0.25 -2.140406\n0.50 -1.692481\n0.75 -0.114289\nName: 5031, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29754249633382346, std values: 0.8493320701739304, min values: -2.0491283564961367, max values: 5.0, median values: -0.3814616820815973, and quantile values: 0.25 -0.968874\n0.50 -0.381462\n0.75 0.292950\nName: 5032, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49698684941823645, std values: 0.9840369852439629, min values: -2.732564679617164, max values: 3.017846660960028, median values: -0.5729053499867882, and quantile values: 0.25 -1.357920\n0.50 -0.572905\n0.75 0.209700\nName: 5033, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29295746761969443, std values: 0.9445960176737311, min values: -2.589966702820638, max values: 6.0, median values: 0.2060943590594597, and quantile values: 0.25 -0.437536\n0.50 0.206094\n0.75 0.980387\nName: 5034, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49363644320778843, std values: 0.7684861103807442, min values: -2.7428415536925543, max values: 2.975781014280383, median values: -0.597743662950383, and quantile values: 0.25 -1.042425\n0.50 -0.597744\n0.75 -0.038250\nName: 5035, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4342252029487599, std values: 1.200072087756557, min values: -2.18216596242457, max values: 3.4758930087721422, median values: 0.4266250430074864, and quantile values: 0.25 -0.524140\n0.50 0.426625\n0.75 1.451989\nName: 5036, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45728811778106243, std values: 0.9308696178198667, min values: -2.1136270387555465, max values: 3.0362913622068968, median values: 0.5073214055306579, and quantile values: 0.25 -0.245891\n0.50 0.507321\n0.75 1.223449\nName: 5037, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12793483704419378, std values: 0.6828673531533158, min values: -1.904418645745436, max values: 2.767597764299235, median values: 0.1654367880806719, and quantile values: 0.25 -0.321031\n0.50 0.165437\n0.75 0.551508\nName: 5038, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41509601988571493, std values: 0.8774736932340762, min values: -2.607565022042742, max values: 4.0, median values: -0.4608096481081933, and quantile values: 0.25 -1.029772\n0.50 -0.460810\n0.75 0.134507\nName: 5039, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15048681306097722, std values: 0.7533798765037858, min values: -2.461308921153724, max values: 3.0, median values: -0.2160629299912699, and quantile values: 0.25 -0.681732\n0.50 -0.216063\n0.75 0.328570\nName: 5040, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16797230078487957, std values: 0.8374215572668844, min values: -2.0590878109320845, max values: 5.0, median values: -0.2727618908627853, and quantile values: 0.25 -0.763901\n0.50 -0.272762\n0.75 0.357173\nName: 5041, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33732588576954514, std values: 0.8880067314732295, min values: -2.3922473154067863, max values: 5.0, median values: 0.4191041502022388, and quantile values: 0.25 -0.299915\n0.50 0.419104\n0.75 1.016964\nName: 5042, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.061879620726314394, std values: 0.7573656030767667, min values: -1.9514816223609808, max values: 6.0, median values: -0.1033245315231054, and quantile values: 0.25 -0.535399\n0.50 -0.103325\n0.75 0.363981\nName: 5043, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7566249577420537, std values: 1.1088973221411278, min values: -3.242093130849769, max values: 3.496479817235339, median values: 0.7940241821431563, and quantile values: 0.25 0.200162\n0.50 0.794024\n0.75 1.464859\nName: 5044, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2715191312868544, std values: 0.8944416575225456, min values: -2.590643619371846, max values: 4.0, median values: 0.3456897111997283, and quantile values: 0.25 -0.201483\n0.50 0.345690\n0.75 0.791084\nName: 5045, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05248347531845796, std values: 0.7293828724700491, min values: -1.9858984077066573, max values: 3.0, median values: 0.0533210633024711, and quantile values: 0.25 -0.409319\n0.50 0.053321\n0.75 0.503063\nName: 5046, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22330304696693298, std values: 0.9173385249793612, min values: -2.419659473655063, max values: 4.0, median values: -0.2645212372892835, and quantile values: 0.25 -0.947302\n0.50 -0.264521\n0.75 0.404056\nName: 5047, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2251317291338047, std values: 0.835930293484386, min values: -2.221075353514828, max values: 2.738797336699565, median values: -0.2758463418497417, and quantile values: 0.25 -0.795876\n0.50 -0.275846\n0.75 0.258555\nName: 5048, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15104802062996595, std values: 1.110505652399279, min values: -2.8350118695332047, max values: 5.0, median values: 0.0550725873399793, and quantile values: 0.25 -0.573852\n0.50 0.055073\n0.75 0.890795\nName: 5049, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.026302356861883404, std values: 0.9275297761638537, min values: -2.4737574649270093, max values: 3.0, median values: -0.1375600019571446, and quantile values: 0.25 -0.751493\n0.50 -0.137560\n0.75 0.642825\nName: 5050, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2786800583471194, std values: 1.0363801092282805, min values: -2.6652153608723106, max values: 5.0, median values: -0.3859137645934114, and quantile values: 0.25 -1.124145\n0.50 -0.385914\n0.75 0.433417\nName: 5051, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.364318028709334, std values: 0.758139960864573, min values: -2.2837882496430213, max values: 4.0, median values: -0.4781207395046781, and quantile values: 0.25 -0.894898\n0.50 -0.478121\n0.75 0.098360\nName: 5052, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5721638575018343, std values: 0.9107833042054934, min values: -2.6270253558526173, max values: 4.0, median values: -0.6749738559523687, and quantile values: 0.25 -1.198115\n0.50 -0.674974\n0.75 -0.008400\nName: 5053, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17760837340912647, std values: 1.0060132719036028, min values: -2.3051489257282016, max values: 5.0, median values: 0.1164787496356977, and quantile values: 0.25 -0.598805\n0.50 0.116479\n0.75 0.911211\nName: 5054, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19933035242655026, std values: 1.052338040499071, min values: -2.727901130262228, max values: 4.0, median values: -0.2177828211675442, and quantile values: 0.25 -0.860809\n0.50 -0.217783\n0.75 0.434931\nName: 5055, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36806644639549735, std values: 0.8493843091803825, min values: -2.0859873849146404, max values: 4.0, median values: -0.5072407661570282, and quantile values: 0.25 -0.971078\n0.50 -0.507241\n0.75 0.101463\nName: 5056, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6529282040681992, std values: 0.8298017774189449, min values: -2.90140378513671, max values: 2.802380784572148, median values: -0.809670281700202, and quantile values: 0.25 -1.268699\n0.50 -0.809670\n0.75 -0.150156\nName: 5057, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2765888893674029, std values: 1.4950878748850347, min values: -2.769191083399913, max values: 3.9048392686725855, median values: 0.1264022408409963, and quantile values: 0.25 -0.738905\n0.50 0.126402\n0.75 1.546180\nName: 5058, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.057306016316686186, std values: 1.081808559629237, min values: -2.6820581866633817, max values: 3.760287110694155, median values: -0.1017402345121787, and quantile values: 0.25 -0.697066\n0.50 -0.101740\n0.75 0.569511\nName: 5059, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5502917315695766, std values: 1.3022707291138507, min values: -2.873069976951463, max values: 3.260388056018088, median values: -0.3463843114081185, and quantile values: 0.25 -1.913703\n0.50 -0.346384\n0.75 0.576892\nName: 5060, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4224200527536065, std values: 1.064820126175898, min values: -2.657750824678472, max values: 5.0, median values: 0.5297612017835723, and quantile values: 0.25 -0.267449\n0.50 0.529761\n0.75 1.116310\nName: 5061, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34639642534536635, std values: 0.9748393117021643, min values: -2.837386543755612, max values: 4.0, median values: -0.4349008934268725, and quantile values: 0.25 -1.023766\n0.50 -0.434901\n0.75 0.267963\nName: 5062, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19677066738412022, std values: 0.9646140349859189, min values: -2.607565022042742, max values: 4.0, median values: 0.3402570864007604, and quantile values: 0.25 -0.259238\n0.50 0.340257\n0.75 0.813425\nName: 5063, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23500807860070974, std values: 0.7638910139682651, min values: -2.0353567906974, max values: 3.784832159836258, median values: 0.2058596258284805, and quantile values: 0.25 -0.260377\n0.50 0.205860\n0.75 0.747455\nName: 5064, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16365364119513606, std values: 0.9372156131805323, min values: -2.632854336056873, max values: 4.026668017837955, median values: 0.1019616947151528, and quantile values: 0.25 -0.518627\n0.50 0.101962\n0.75 0.784999\nName: 5065, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2562787132559088, std values: 0.8707064463106806, min values: -2.0424002644031765, max values: 5.0, median values: -0.4170922805929064, and quantile values: 0.25 -0.899718\n0.50 -0.417092\n0.75 0.226982\nName: 5066, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36333026382286593, std values: 0.8361620888765366, min values: -2.321103531050575, max values: 4.0, median values: -0.4909381735372131, and quantile values: 0.25 -0.962815\n0.50 -0.490938\n0.75 0.158963\nName: 5067, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4824910507077786, std values: 0.9250978563110732, min values: -2.090799501270592, max values: 3.5427287984042666, median values: 0.5229204321563461, and quantile values: 0.25 -0.156147\n0.50 0.522920\n0.75 1.095573\nName: 5068, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.038521115909464956, std values: 0.8964636278056702, min values: -1.9688248874302088, max values: 3.216771431244405, median values: -0.1483457965277077, and quantile values: 0.25 -0.685584\n0.50 -0.148346\n0.75 0.515227\nName: 5069, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5037933692354829, std values: 0.9869237904064957, min values: -2.4902145713898545, max values: 3.760287110694155, median values: 0.5849511978231623, and quantile values: 0.25 -0.093611\n0.50 0.584951\n0.75 1.198849\nName: 5070, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12239378849181655, std values: 0.8881607507014845, min values: -2.2486661288287544, max values: 3.3636961113187773, median values: -0.1485685522732315, and quantile values: 0.25 -0.760299\n0.50 -0.148569\n0.75 0.407664\nName: 5071, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1452019752902898, std values: 0.8828330110141603, min values: -2.0806681251243795, max values: 5.0, median values: 0.0908116204495109, and quantile values: 0.25 -0.465684\n0.50 0.090812\n0.75 0.741313\nName: 5072, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.047736439775301384, std values: 0.7860705789597964, min values: -2.0418526042564986, max values: 3.9905524164385566, median values: 0.0246226336593034, and quantile values: 0.25 -0.467634\n0.50 0.024623\n0.75 0.513718\nName: 5073, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26974789555808887, std values: 0.825093831430604, min values: -2.414039489297912, max values: 6.0, median values: 0.2680474340088306, and quantile values: 0.25 -0.287311\n0.50 0.268047\n0.75 0.770613\nName: 5074, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24221402642302342, std values: 0.8551509542816329, min values: -2.0221093080959105, max values: 5.0, median values: 0.2565903101176044, and quantile values: 0.25 -0.355354\n0.50 0.256590\n0.75 0.828645\nName: 5075, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16246805758940233, std values: 0.9150511186457524, min values: -2.3922473154067863, max values: 5.0, median values: -0.235952450906214, and quantile values: 0.25 -0.838799\n0.50 -0.235952\n0.75 0.417860\nName: 5076, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1891832142798109, std values: 0.7598642817141286, min values: -2.1136270387555465, max values: 3.0838352979250487, median values: 0.1388007855515904, and quantile values: 0.25 -0.351689\n0.50 0.138801\n0.75 0.701214\nName: 5077, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24844845255856965, std values: 0.9146573713734086, min values: -2.5689076212724418, max values: 5.0, median values: -0.2812762077931784, and quantile values: 0.25 -0.981545\n0.50 -0.281276\n0.75 0.373949\nName: 5078, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26311317288168445, std values: 1.2033373583068778, min values: -3.318456222573461, max values: 3.281452258958016, median values: -0.0987634781744624, and quantile values: 0.25 -1.145586\n0.50 -0.098763\n0.75 0.660998\nName: 5079, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30472374873997493, std values: 1.1421673922133373, min values: -2.121861109115061, max values: 4.0, median values: 0.2840411862485228, and quantile values: 0.25 -0.619219\n0.50 0.284041\n0.75 1.261072\nName: 5080, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1093669813364957, std values: 0.8440762876906469, min values: -2.564449278715455, max values: 3.518664430018096, median values: 0.0179290533069782, and quantile values: 0.25 -0.453472\n0.50 0.017929\n0.75 0.639052\nName: 5081, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17768547593624812, std values: 0.7774444264115588, min values: -2.3580829218239154, max values: 3.760287110694155, median values: -0.2674350091728322, and quantile values: 0.25 -0.712920\n0.50 -0.267435\n0.75 0.301720\nName: 5082, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30877164878075875, std values: 0.7606809078308429, min values: -2.1227739687253626, max values: 3.0, median values: 0.3804605117817731, and quantile values: 0.25 -0.217191\n0.50 0.380461\n0.75 0.832980\nName: 5083, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2933260243524441, std values: 0.7688118817169429, min values: -2.732564679617164, max values: 3.9905524164385566, median values: 0.2873114269928898, and quantile values: 0.25 -0.225600\n0.50 0.287311\n0.75 0.781389\nName: 5084, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.736228723682584, std values: 1.5592133219972169, min values: -2.727901130262228, max values: 4.0, median values: -1.5659097751201856, and quantile values: 0.25 -2.140406\n0.50 -1.565910\n0.75 0.808146\nName: 5085, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15321208024220126, std values: 0.9020328438310856, min values: -2.860922438481449, max values: 3.3636961113187773, median values: -0.2558909570639268, and quantile values: 0.25 -0.780139\n0.50 -0.255891\n0.75 0.431134\nName: 5086, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4936245822755528, std values: 0.9844683189030183, min values: -2.9622221028070275, max values: 6.0, median values: 0.561800686280506, and quantile values: 0.25 -0.188291\n0.50 0.561801\n0.75 1.244559\nName: 5087, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4467951410438073, std values: 1.1144954778856186, min values: -2.7211321814067784, max values: 3.1047159712539405, median values: 0.7118310153329487, and quantile values: 0.25 -0.057037\n0.50 0.711831\n0.75 1.218414\nName: 5088, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23295636531206185, std values: 0.9980430699985938, min values: -1.8898480099192063, max values: 3.415255285860171, median values: 0.1946865764827526, and quantile values: 0.25 -0.587729\n0.50 0.194687\n0.75 0.961038\nName: 5089, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06914224700407959, std values: 1.1306508529703856, min values: -2.8467638118011016, max values: 5.0, median values: 0.0907563143835357, and quantile values: 0.25 -0.641084\n0.50 0.090756\n0.75 0.660656\nName: 5090, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3578749985575342, std values: 0.8604249543899767, min values: -2.4125199145038643, max values: 4.0, median values: -0.4178658763740937, and quantile values: 0.25 -1.054653\n0.50 -0.417866\n0.75 0.232867\nName: 5091, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12527561812981372, std values: 1.0201198963533356, min values: -2.610097161345549, max values: 4.0, median values: 0.2847448396850132, and quantile values: 0.25 -0.527341\n0.50 0.284745\n0.75 0.851552\nName: 5092, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.174041348445785, std values: 0.8724955225061896, min values: -2.439930808627264, max values: 4.0, median values: -0.2616097094838904, and quantile values: 0.25 -0.790563\n0.50 -0.261610\n0.75 0.324541\nName: 5093, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4165591762417375, std values: 1.0388508959407254, min values: -2.589966702820638, max values: 6.0, median values: 0.4316641900351915, and quantile values: 0.25 -0.377195\n0.50 0.431664\n0.75 1.314548\nName: 5094, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36726350810164116, std values: 0.8297461204091466, min values: -2.100754849305273, max values: 3.2328207660681025, median values: 0.4026420076744446, and quantile values: 0.25 -0.216881\n0.50 0.402642\n0.75 0.975677\nName: 5095, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7056250753437685, std values: 0.9475212307109708, min values: -2.6635706018350787, max values: 3.5021977227593246, median values: 0.8020146296092299, and quantile values: 0.25 0.025859\n0.50 0.802015\n0.75 1.433255\nName: 5096, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23413528371116152, std values: 1.0348887121596502, min values: -3.124705982383478, max values: 2.7048432409327194, median values: -0.0878807774598952, and quantile values: 0.25 -0.823318\n0.50 -0.087881\n0.75 0.500003\nName: 5097, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.043462421610693684, std values: 0.8804538505690117, min values: -3.904839268672367, max values: 3.098911021393695, median values: -0.1509636445107179, and quantile values: 0.25 -0.677327\n0.50 -0.150964\n0.75 0.533555\nName: 5098, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15688052650502696, std values: 0.790234075890189, min values: -2.073524544085168, max values: 5.0, median values: 0.1152126106732649, and quantile values: 0.25 -0.350430\n0.50 0.115213\n0.75 0.643057\nName: 5099, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0010917827740960385, std values: 0.7734632823166369, min values: -2.5689076212724418, max values: 5.0, median values: -0.0193342291479509, and quantile values: 0.25 -0.523295\n0.50 -0.019334\n0.75 0.488862\nName: 5100, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31539500150266664, std values: 0.9341328583753788, min values: -2.6117120822772133, max values: 5.0, median values: -0.4031839908443502, and quantile values: 0.25 -0.992212\n0.50 -0.403184\n0.75 0.231537\nName: 5101, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19114556689519852, std values: 1.8056028198020704, min values: -2.8834699678265463, max values: 5.0, median values: 0.2936165908165547, and quantile values: 0.25 -1.720125\n0.50 0.293617\n0.75 1.638495\nName: 5102, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13505002665057358, std values: 0.7664578674714063, min values: -1.8545792097367075, max values: 3.0148736195915853, median values: 0.0361118866134013, and quantile values: 0.25 -0.381182\n0.50 0.036112\n0.75 0.579079\nName: 5103, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.008344498154668966, std values: 0.8532908670233993, min values: -2.2915911556076085, max values: 3.455472209455805, median values: -0.1232745483375559, and quantile values: 0.25 -0.593920\n0.50 -0.123275\n0.75 0.549147\nName: 5104, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4322316183002139, std values: 0.8253381573503641, min values: -2.5569229852416258, max values: 4.0, median values: -0.564930679889585, and quantile values: 0.25 -1.033047\n0.50 -0.564931\n0.75 0.089236\nName: 5105, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17046702104319933, std values: 0.9877591254683101, min values: -2.982771139679002, max values: 4.0, median values: 0.3035013035639512, and quantile values: 0.25 -0.312100\n0.50 0.303501\n0.75 0.788658\nName: 5106, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14277430192335216, std values: 0.858632308150123, min values: -2.740813841730953, max values: 3.1106274661862763, median values: 0.1633989231491957, and quantile values: 0.25 -0.331778\n0.50 0.163399\n0.75 0.645093\nName: 5107, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22998583488579752, std values: 1.0866857136725214, min values: -2.589966702820638, max values: 6.0, median values: 0.0626929811939131, and quantile values: 0.25 -0.546671\n0.50 0.062693\n0.75 0.886547\nName: 5108, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4367206585219935, std values: 1.1864209057697217, min values: -2.727901130262228, max values: 4.0, median values: 0.656367029392064, and quantile values: 0.25 -0.224076\n0.50 0.656367\n0.75 1.357228\nName: 5109, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2070507720879512, std values: 0.9101937473280465, min values: -2.148081053432388, max values: 3.667275230673496, median values: -0.2603204910204114, and quantile values: 0.25 -0.873597\n0.50 -0.260320\n0.75 0.342447\nName: 5110, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30320524601934895, std values: 0.9591613163282285, min values: -2.90140378513671, max values: 3.721862465295849, median values: 0.3210015915559486, and quantile values: 0.25 -0.350051\n0.50 0.321002\n0.75 0.959842\nName: 5111, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2943092311990774, std values: 0.950936112702749, min values: -2.4902145713898545, max values: 3.0, median values: 0.3906793758249124, and quantile values: 0.25 -0.384105\n0.50 0.390679\n0.75 1.035209\nName: 5112, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02802045963220857, std values: 1.1052270695480553, min values: -2.869671295224012, max values: 6.0, median values: 0.1435989189466319, and quantile values: 0.25 -0.635692\n0.50 0.143599\n0.75 0.809979\nName: 5113, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18557478439921948, std values: 0.8378499840911, min values: -2.1173924400406823, max values: 4.0, median values: -0.1610270801629081, and quantile values: 0.25 -0.807306\n0.50 -0.161027\n0.75 0.375825\nName: 5114, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23440728089269416, std values: 0.7685723528825211, min values: -1.967253160501497, max values: 3.3014869995452325, median values: 0.1811517474868888, and quantile values: 0.25 -0.274935\n0.50 0.181152\n0.75 0.726945\nName: 5115, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11260885355128536, std values: 0.7177676793069626, min values: -1.9563114409033424, max values: 3.1888787873512885, median values: 0.1325035930325784, and quantile values: 0.25 -0.328770\n0.50 0.132504\n0.75 0.549499\nName: 5116, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2066114887239934, std values: 0.9117689521093083, min values: -2.3333312203517527, max values: 3.4217036547572275, median values: -0.3036230698762082, and quantile values: 0.25 -0.927093\n0.50 -0.303623\n0.75 0.416860\nName: 5117, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27386257810567527, std values: 1.087579135154719, min values: -2.641174291463747, max values: 6.0, median values: 0.2686767793565176, and quantile values: 0.25 -0.617552\n0.50 0.268677\n0.75 1.116354\nName: 5118, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6096548457069025, std values: 0.8858836545185287, min values: -2.6072570508709387, max values: 4.0, median values: -0.7320430996935847, and quantile values: 0.25 -1.240031\n0.50 -0.732043\n0.75 -0.057892\nName: 5119, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30555172520261514, std values: 0.9128251950302005, min values: -2.5422910691068967, max values: 3.0, median values: 0.3472125902533293, and quantile values: 0.25 -0.350078\n0.50 0.347213\n0.75 1.010168\nName: 5120, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.022603873829857093, std values: 0.9583472374904347, min values: -2.5743883495350026, max values: 5.0, median values: 0.0771011711362092, and quantile values: 0.25 -0.574772\n0.50 0.077101\n0.75 0.609606\nName: 5121, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14447745048731225, std values: 0.968671538094903, min values: -2.5293911731823453, max values: 3.438667023696733, median values: 0.2274941061107443, and quantile values: 0.25 -0.471170\n0.50 0.227494\n0.75 0.833019\nName: 5122, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38877949320431826, std values: 0.8284795913372093, min values: -2.5759052915632985, max values: 3.025409039429847, median values: -0.4920849379019322, and quantile values: 0.25 -0.962390\n0.50 -0.492085\n0.75 0.080515\nName: 5123, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10272078997325165, std values: 0.8985432163096335, min values: -2.8350118695332047, max values: 5.0, median values: 0.1102978670922866, and quantile values: 0.25 -0.535143\n0.50 0.110298\n0.75 0.701568\nName: 5124, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03977068150695969, std values: 0.9699422352720835, min values: -2.841647375415054, max values: 3.1106274661862763, median values: 0.0019143960310758, and quantile values: 0.25 -0.540553\n0.50 0.001914\n0.75 0.649172\nName: 5125, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5278712688132733, std values: 0.9228637523811553, min values: -2.732564679617164, max values: 3.630507857092792, median values: -0.6357503025126076, and quantile values: 0.25 -1.310443\n0.50 -0.635750\n0.75 0.104275\nName: 5126, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1771962540089047, std values: 0.7794113831861809, min values: -2.6685266729136536, max values: 5.0, median values: -0.1912916819992739, and quantile values: 0.25 -0.694310\n0.50 -0.191292\n0.75 0.305185\nName: 5127, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08652504473292538, std values: 0.8461421032699379, min values: -2.1780944180849096, max values: 5.0, median values: 0.0546376303129518, and quantile values: 0.25 -0.487076\n0.50 0.054638\n0.75 0.639090\nName: 5128, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3404021191499939, std values: 0.9031687145784364, min values: -2.3771558481240653, max values: 4.0, median values: 0.3652183462795528, and quantile values: 0.25 -0.331890\n0.50 0.365218\n0.75 1.052111\nName: 5129, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5774638682842815, std values: 1.0485125579968073, min values: -2.5774281843044924, max values: 4.0, median values: -0.831313007733669, and quantile values: 0.25 -1.419140\n0.50 -0.831313\n0.75 0.047996\nName: 5130, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03448413545487498, std values: 1.0789685703996994, min values: -2.1695974540436334, max values: 4.0, median values: 0.0282315456223876, and quantile values: 0.25 -0.939507\n0.50 0.028232\n0.75 0.751264\nName: 5131, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6868995634879171, std values: 1.2385902934002295, min values: -2.891990595045606, max values: 6.0, median values: 0.9835535137804408, and quantile values: 0.25 0.199263\n0.50 0.983554\n0.75 1.508531\nName: 5132, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41122736736007126, std values: 1.0939101903423147, min values: -2.105100264521188, max values: 5.0, median values: 0.3286949275465194, and quantile values: 0.25 -0.456618\n0.50 0.328695\n0.75 1.324116\nName: 5133, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.048802360492394524, std values: 0.8153365589468544, min values: -2.919359491767569, max values: 6.0, median values: -0.0999035452019573, and quantile values: 0.25 -0.608503\n0.50 -0.099904\n0.75 0.474712\nName: 5134, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6838328701512167, std values: 1.057847731012606, min values: -2.93129584560762, max values: 6.0, median values: -0.7541884000675899, and quantile values: 0.25 -1.526108\n0.50 -0.754188\n0.75 0.033000\nName: 5135, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13995002902864884, std values: 0.8559470281380858, min values: -2.9797100147087465, max values: 5.0, median values: -0.1469428501189131, and quantile values: 0.25 -0.741875\n0.50 -0.146943\n0.75 0.375140\nName: 5136, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2256397221852376, std values: 0.8079173787889505, min values: -2.093800662299286, max values: 6.0, median values: 0.2271832434333939, and quantile values: 0.25 -0.284105\n0.50 0.227183\n0.75 0.711678\nName: 5137, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1314024974822345, std values: 0.8872518465179863, min values: -2.618746139350171, max values: 3.5021977227593246, median values: 0.0703658909311669, and quantile values: 0.25 -0.501064\n0.50 0.070366\n0.75 0.736531\nName: 5138, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06571377969733018, std values: 1.0452092652942417, min values: -2.610097161345549, max values: 4.0, median values: 0.157080374478898, and quantile values: 0.25 -0.637545\n0.50 0.157080\n0.75 0.727724\nName: 5139, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30725785729585803, std values: 1.0804699214816633, min values: -2.6820581866633817, max values: 3.867701659180865, median values: 0.3068935980146455, and quantile values: 0.25 -0.398983\n0.50 0.306894\n0.75 1.125880\nName: 5140, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25968296319838935, std values: 0.7140324599604354, min values: -2.0118852280441426, max values: 5.0, median values: 0.3005575451801979, and quantile values: 0.25 -0.188095\n0.50 0.300558\n0.75 0.704451\nName: 5141, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23865044683914466, std values: 0.8955960380563754, min values: -2.476285024008804, max values: 3.496479817235339, median values: 0.2286247014253042, and quantile values: 0.25 -0.324425\n0.50 0.228625\n0.75 0.770132\nName: 5142, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2940322001292074, std values: 0.8265134530566713, min values: -2.6685266729136536, max values: 5.0, median values: -0.3803689284129261, and quantile values: 0.25 -0.926541\n0.50 -0.380369\n0.75 0.241393\nName: 5143, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20170094994943247, std values: 0.9152485628195547, min values: -2.8547740449753216, max values: 5.0, median values: -0.2358182513963101, and quantile values: 0.25 -0.867658\n0.50 -0.235818\n0.75 0.372390\nName: 5144, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20244550016113225, std values: 0.7891016594059983, min values: -2.4536054974529624, max values: 6.0, median values: 0.2420733116366773, and quantile values: 0.25 -0.325877\n0.50 0.242073\n0.75 0.730746\nName: 5145, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6193852800397974, std values: 0.9724404695846018, min values: -2.837386543755612, max values: 4.0, median values: -0.6796154766287522, and quantile values: 0.25 -1.279176\n0.50 -0.679615\n0.75 -0.079638\nName: 5146, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6505557439928803, std values: 1.1996159161520124, min values: -2.662750916816848, max values: 5.0, median values: 0.7076352865940737, and quantile values: 0.25 -0.222667\n0.50 0.707635\n0.75 1.637653\nName: 5147, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19470511317929376, std values: 0.9009362929787598, min values: -2.476285024008804, max values: 3.047545592545638, median values: -0.3439510464054042, and quantile values: 0.25 -0.851076\n0.50 -0.343951\n0.75 0.359666\nName: 5148, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12045401307891923, std values: 0.8992790456636129, min values: -2.558791007225312, max values: 3.0, median values: 0.1165896574130728, and quantile values: 0.25 -0.432511\n0.50 0.116590\n0.75 0.658685\nName: 5149, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1343693796649656, std values: 0.7456935785940025, min values: -2.2915911556076085, max values: 3.0, median values: 0.1870301383822736, and quantile values: 0.25 -0.37722\n0.50 0.18703\n0.75 0.59314\nName: 5150, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17773807292216398, std values: 0.8175939015544819, min values: -2.264034258932616, max values: 3.2266531185902125, median values: 0.0965074724668815, and quantile values: 0.25 -0.352715\n0.50 0.096507\n0.75 0.717934\nName: 5151, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.890815915559253, std values: 1.273608297700993, min values: -2.622709665346679, max values: 3.721862465295849, median values: 0.914511280652448, and quantile values: 0.25 0.032338\n0.50 0.914511\n0.75 1.862634\nName: 5152, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32017435911129233, std values: 0.7867448099813786, min values: -2.086946282658587, max values: 5.0, median values: -0.4277902143297403, and quantile values: 0.25 -0.905757\n0.50 -0.427790\n0.75 0.180791\nName: 5153, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4579948676574465, std values: 0.7732715415874182, min values: -1.8935191740498216, max values: 3.098911021393695, median values: 0.5227896644796085, and quantile values: 0.25 -0.035696\n0.50 0.522790\n0.75 0.965445\nName: 5154, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.165722655967516, std values: 1.0201380188425182, min values: -2.7211321814067784, max values: 3.477886732511886, median values: -0.0889590173754935, and quantile values: 0.25 -0.588713\n0.50 -0.088959\n0.75 0.485482\nName: 5155, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49233491828003384, std values: 1.0356550164576406, min values: -2.64479559868397, max values: 6.0, median values: -0.6742375666865906, and quantile values: 0.25 -1.342977\n0.50 -0.674238\n0.75 0.244527\nName: 5156, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17687268505325618, std values: 0.8025617954302977, min values: -2.56026492390943, max values: 4.0, median values: -0.1502394561520483, and quantile values: 0.25 -0.686327\n0.50 -0.150239\n0.75 0.327126\nName: 5157, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23442443470087085, std values: 0.8444921323737383, min values: -2.693453432157769, max values: 3.434669824302974, median values: 0.2881725261666122, and quantile values: 0.25 -0.298308\n0.50 0.288173\n0.75 0.753657\nName: 5158, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12536837704923356, std values: 0.9831129505278863, min values: -2.960014365184806, max values: 6.0, median values: -0.0622238988008683, and quantile values: 0.25 -0.702942\n0.50 -0.062224\n0.75 0.458374\nName: 5159, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20521388528729423, std values: 0.7556724704390929, min values: -2.100754849305273, max values: 2.69018285940918, median values: 0.1666093535184474, and quantile values: 0.25 -0.283697\n0.50 0.166609\n0.75 0.669244\nName: 5160, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2055642948596365, std values: 1.0798020822446084, min values: -2.673549169958716, max values: 6.0, median values: 0.1861513351882698, and quantile values: 0.25 -0.537178\n0.50 0.186151\n0.75 1.003174\nName: 5161, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05344110366564365, std values: 0.9793119172422424, min values: -1.9985758581625843, max values: 4.0, median values: 0.0478071725422721, and quantile values: 0.25 -0.687268\n0.50 0.047807\n0.75 0.750424\nName: 5162, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09092435866093286, std values: 0.8140571138284104, min values: -2.011274058715068, max values: 5.0, median values: -0.1628407602369692, and quantile values: 0.25 -0.644843\n0.50 -0.162841\n0.75 0.410958\nName: 5163, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4290873397314826, std values: 0.8424152106488112, min values: -2.5961021427111413, max values: 3.8226908388056136, median values: -0.5524477587347726, and quantile values: 0.25 -1.001036\n0.50 -0.552448\n0.75 0.038565\nName: 5164, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.566854481530366, std values: 0.9692654833641037, min values: -2.933035609461076, max values: 5.0, median values: 0.7193416276306784, and quantile values: 0.25 -0.104560\n0.50 0.719342\n0.75 1.312954\nName: 5165, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2263049878978634, std values: 0.9508994511291715, min values: -2.63315074164461, max values: 6.0, median values: 0.35508063700857, and quantile values: 0.25 -0.288143\n0.50 0.355081\n0.75 0.826381\nName: 5166, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3693854401884644, std values: 0.9634884475725306, min values: -2.769191083399913, max values: 3.4566816047670264, median values: 0.4024031021217372, and quantile values: 0.25 -0.159521\n0.50 0.402403\n0.75 0.972712\nName: 5167, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07759295214763336, std values: 0.9510400383611712, min values: -2.087432639025188, max values: 4.0, median values: -0.0040178765694746, and quantile values: 0.25 -0.574299\n0.50 -0.004018\n0.75 0.644162\nName: 5168, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12225758842469413, std values: 0.9800359246345807, min values: -2.12073996675014, max values: 3.496479817235339, median values: -0.1576522505323957, and quantile values: 0.25 -0.892515\n0.50 -0.157652\n0.75 0.599424\nName: 5169, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37438264381700503, std values: 0.7686634929570482, min values: -2.207928740713557, max values: 6.0, median values: -0.4827879332977051, and quantile values: 0.25 -0.920459\n0.50 -0.482788\n0.75 0.124401\nName: 5170, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04210140105168871, std values: 0.8412163127280378, min values: -2.657870006553045, max values: 3.2696814875916886, median values: 0.0276086081907534, and quantile values: 0.25 -0.466475\n0.50 0.027609\n0.75 0.574786\nName: 5171, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24044044442336324, std values: 0.932150434496385, min values: -2.0531592997310795, max values: 4.0, median values: 0.1718375817014863, and quantile values: 0.25 -0.506112\n0.50 0.171838\n0.75 0.934485\nName: 5172, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2427467496989999, std values: 1.0441255896678479, min values: -2.769191083399913, max values: 3.598076523509904, median values: -0.2625717381787319, and quantile values: 0.25 -1.039459\n0.50 -0.262572\n0.75 0.499649\nName: 5173, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10789838662936939, std values: 0.9622441656564485, min values: -2.082109659827605, max values: 2.934784296522457, median values: 0.1283560571596499, and quantile values: 0.25 -0.684028\n0.50 0.128356\n0.75 0.848983\nName: 5174, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20476563762140082, std values: 0.8277948238305664, min values: -3.0148736195915964, max values: 3.025409039429847, median values: -0.1771889526892467, and quantile values: 0.25 -0.718577\n0.50 -0.177189\n0.75 0.296623\nName: 5175, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41439735395709554, std values: 0.9340318992565885, min values: -2.558791007225312, max values: 3.041094191308108, median values: -0.4824475849052064, and quantile values: 0.25 -1.038603\n0.50 -0.482448\n0.75 0.186890\nName: 5176, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5381659374191495, std values: 1.561132194523713, min values: -2.9109251266226006, max values: 4.278004674434932, median values: 0.9401230016406626, and quantile values: 0.25 -0.284271\n0.50 0.940123\n0.75 1.605655\nName: 5177, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5768494179387728, std values: 0.8126015074925038, min values: -2.536941606705235, max values: 4.0, median values: 0.6676366832016308, and quantile values: 0.25 0.023576\n0.50 0.667637\n0.75 1.184369\nName: 5178, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38249248639604755, std values: 0.9499866774547755, min values: -2.607565022042742, max values: 4.0, median values: -0.4076486354057315, and quantile values: 0.25 -1.135348\n0.50 -0.407649\n0.75 0.292901\nName: 5179, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13148677746762863, std values: 0.9711193168106792, min values: -2.43645767532402, max values: 4.278004674434932, median values: -0.0668645344578345, and quantile values: 0.25 -0.879103\n0.50 -0.066865\n0.75 0.552704\nName: 5180, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12552600642324885, std values: 0.8029887221631754, min values: -1.941654037550424, max values: 4.0, median values: 0.0341553879232359, and quantile values: 0.25 -0.443017\n0.50 0.034155\n0.75 0.662889\nName: 5181, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.045229049535392696, std values: 0.8503101020956022, min values: -2.049996677874803, max values: 4.0, median values: -0.0052705188968359, and quantile values: 0.25 -0.522884\n0.50 -0.005271\n0.75 0.548923\nName: 5182, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2334787118495656, std values: 0.8892333876593165, min values: -2.497627580948261, max values: 3.0, median values: -0.2383949308638054, and quantile values: 0.25 -0.732630\n0.50 -0.238395\n0.75 0.308430\nName: 5183, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10108504059390992, std values: 0.8652225068746886, min values: -2.799990485600992, max values: 5.0, median values: -0.07398295154058, and quantile values: 0.25 -0.693558\n0.50 -0.073983\n0.75 0.412697\nName: 5184, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2910260236263662, std values: 0.8898886133843753, min values: -2.525362520654854, max values: 5.0, median values: 0.2055317829976769, and quantile values: 0.25 -0.291717\n0.50 0.205532\n0.75 0.845473\nName: 5185, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19747913511011322, std values: 0.9139182378874844, min values: -2.5820330744015787, max values: 4.0, median values: -0.2966283442467582, and quantile values: 0.25 -0.821695\n0.50 -0.296628\n0.75 0.360345\nName: 5186, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41880875722927735, std values: 1.0239559507019278, min values: -2.8563982925340614, max values: 4.0, median values: -0.3406180180515537, and quantile values: 0.25 -1.043239\n0.50 -0.340618\n0.75 0.221044\nName: 5187, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.011616046695166114, std values: 1.0529617582106683, min values: -2.673549169958716, max values: 6.0, median values: -0.0860010130003047, and quantile values: 0.25 -0.702877\n0.50 -0.086001\n0.75 0.753091\nName: 5188, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40426005857540964, std values: 0.8974272609630487, min values: -2.3813576428502263, max values: 3.0, median values: 0.4414183921123429, and quantile values: 0.25 -0.185965\n0.50 0.441418\n0.75 0.986594\nName: 5189, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31815907442018254, std values: 0.9003023244283876, min values: -2.5422910691068967, max values: 3.405671179043623, median values: -0.453077236211402, and quantile values: 0.25 -0.976387\n0.50 -0.453077\n0.75 0.223346\nName: 5190, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3831708071848561, std values: 1.0362216476040733, min values: -2.6899145007874274, max values: 3.528773265847577, median values: 0.4568517158399676, and quantile values: 0.25 -0.395663\n0.50 0.456852\n0.75 1.231325\nName: 5191, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19745342512469816, std values: 0.7215883390334239, min values: -2.0636979543884086, max values: 5.0, median values: -0.2096995145364407, and quantile values: 0.25 -0.679676\n0.50 -0.209700\n0.75 0.205279\nName: 5192, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1487414186299917, std values: 0.9451633597460545, min values: -2.825926939679757, max values: 3.867701659180865, median values: 0.2380788381824957, and quantile values: 0.25 -0.418101\n0.50 0.238079\n0.75 0.783701\nName: 5193, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34343178634292, std values: 0.8165783340752015, min values: -2.209283142861864, max values: 6.0, median values: 0.3054074892415141, and quantile values: 0.25 -0.178713\n0.50 0.305407\n0.75 0.864565\nName: 5194, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06966985681416347, std values: 1.0625256036139106, min values: -2.1387744422316306, max values: 4.0, median values: 0.0447663313641977, and quantile values: 0.25 -0.763444\n0.50 0.044766\n0.75 0.877443\nName: 5195, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10378982793788326, std values: 0.72907748134063, min values: -2.662750916816848, max values: 5.0, median values: -0.0759870904434586, and quantile values: 0.25 -0.608976\n0.50 -0.075987\n0.75 0.386219\nName: 5196, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02481696943958872, std values: 0.7767728881158514, min values: -2.1350654783689635, max values: 3.0, median values: -0.0754656383518692, and quantile values: 0.25 -0.547610\n0.50 -0.075466\n0.75 0.474481\nName: 5197, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5453422214503337, std values: 1.0001581353691693, min values: -2.5774281843044924, max values: 4.0, median values: 0.4771021455398678, and quantile values: 0.25 -0.125354\n0.50 0.477102\n0.75 1.231404\nName: 5198, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16217082945095793, std values: 0.7778361598572539, min values: -2.7648443048846945, max values: 3.784832159836258, median values: 0.1618361947058995, and quantile values: 0.25 -0.346133\n0.50 0.161836\n0.75 0.670726\nName: 5199, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.006244272948887289, std values: 0.7857387705623633, min values: -1.964211211581255, max values: 3.3337116327022187, median values: -0.0374931064471488, and quantile values: 0.25 -0.519162\n0.50 -0.037493\n0.75 0.429163\nName: 5200, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3856322804976519, std values: 0.9508814970622719, min values: -2.179853905073574, max values: 6.0, median values: 0.3785148272098304, and quantile values: 0.25 -0.340292\n0.50 0.378515\n0.75 1.151124\nName: 5201, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07798952042533416, std values: 1.3296480445456027, min values: -2.7211321814067784, max values: 3.455472209455805, median values: 0.2374710344645802, and quantile values: 0.25 -0.863525\n0.50 0.237471\n0.75 0.807535\nName: 5202, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09902432459572892, std values: 0.8878225284188385, min values: -2.6603025395856053, max values: 5.0, median values: 0.0625777169210097, and quantile values: 0.25 -0.423818\n0.50 0.062578\n0.75 0.675078\nName: 5203, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4693355513902657, std values: 1.1621002088065064, min values: -2.981718296512785, max values: 5.0, median values: -0.5248453033200048, and quantile values: 0.25 -1.243723\n0.50 -0.524845\n0.75 0.238055\nName: 5204, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.024392288434042286, std values: 0.8901315781044403, min values: -2.6685266729136536, max values: 6.0, median values: -0.1058103736989094, and quantile values: 0.25 -0.695935\n0.50 -0.105810\n0.75 0.581952\nName: 5205, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06998988283419642, std values: 1.2027500173595123, min values: -2.9472833478224456, max values: 6.0, median values: 0.2905828445494685, and quantile values: 0.25 -0.502382\n0.50 0.290583\n0.75 0.888229\nName: 5206, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18711151491790087, std values: 0.8653364710931063, min values: -2.2931155468777336, max values: 3.5908526919299577, median values: -0.3241346697305179, and quantile values: 0.25 -0.805936\n0.50 -0.324135\n0.75 0.334663\nName: 5207, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32236462080743666, std values: 1.001876732649523, min values: -3.0133870328644434, max values: 3.2071942083719924, median values: 0.2486860975610287, and quantile values: 0.25 -0.387391\n0.50 0.248686\n0.75 1.007889\nName: 5208, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19703058917101532, std values: 1.2517231279089502, min values: -2.8563982925340614, max values: 5.0, median values: 0.0813305469215569, and quantile values: 0.25 -0.931929\n0.50 0.081331\n0.75 0.703270\nName: 5209, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09748562223369457, std values: 0.8787428984831323, min values: -2.56026492390943, max values: 4.0, median values: 0.1564533651981874, and quantile values: 0.25 -0.509010\n0.50 0.156453\n0.75 0.660656\nName: 5210, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21806016649831794, std values: 0.8484695752670345, min values: -2.0549499710103847, max values: 4.0, median values: 0.2885744455457336, and quantile values: 0.25 -0.369263\n0.50 0.288574\n0.75 0.809444\nName: 5211, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1088528608796833, std values: 0.8964332493439712, min values: -2.7024513197886706, max values: 3.4758930087721422, median values: 0.1014910977475303, and quantile values: 0.25 -0.540561\n0.50 0.101491\n0.75 0.719587\nName: 5212, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2324526333201816, std values: 0.76808139594366, min values: -2.5961860889000365, max values: 3.455472209455805, median values: -0.3297415524135911, and quantile values: 0.25 -0.760519\n0.50 -0.329742\n0.75 0.230378\nName: 5213, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2455990024754933, std values: 0.8302125143920703, min values: -1.879788515849376, max values: 5.0, median values: 0.2717616202236989, and quantile values: 0.25 -0.328520\n0.50 0.271762\n0.75 0.808392\nName: 5214, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.045885494748926295, std values: 0.7927551277738344, min values: -2.0942940418967018, max values: 2.720109091499324, median values: -0.0514385722631626, and quantile values: 0.25 -0.574753\n0.50 -0.051439\n0.75 0.462420\nName: 5215, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.2214290822439735, std values: 1.1326606493975637, min values: -2.727901130262228, max values: 4.0, median values: -1.6988505925848862, and quantile values: 0.25 -2.142044\n0.50 -1.698851\n0.75 -0.331254\nName: 5216, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3514460019445197, std values: 0.999790531893657, min values: -2.108828940494985, max values: 3.496479817235339, median values: 0.2744717450768549, and quantile values: 0.25 -0.380520\n0.50 0.274472\n0.75 1.034080\nName: 5217, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2313834662350968, std values: 0.8352019912693546, min values: -3.0363117572416627, max values: 5.0, median values: -0.2227398883618788, and quantile values: 0.25 -0.731004\n0.50 -0.222740\n0.75 0.273619\nName: 5218, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.009581479337512135, std values: 0.896861808104102, min values: -3.3126932323446474, max values: 3.2071942083719924, median values: 0.1212768389338491, and quantile values: 0.25 -0.509608\n0.50 0.121277\n0.75 0.602888\nName: 5219, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46205690221836315, std values: 0.9277957637003252, min values: -2.618746139350171, max values: 3.721862465295849, median values: -0.5763133102025191, and quantile values: 0.25 -1.113231\n0.50 -0.576313\n0.75 0.079993\nName: 5220, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9038142675360945, std values: 1.4806252261651036, min values: -3.447534482420193, max values: 3.627976272701048, median values: -1.6425632678386024, and quantile values: 0.25 -2.095024\n0.50 -1.642563\n0.75 0.487125\nName: 5221, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1716218092071698, std values: 0.9848994222459334, min values: -2.1952222375445194, max values: 4.0, median values: 0.189158127004948, and quantile values: 0.25 -0.598409\n0.50 0.189158\n0.75 0.983509\nName: 5222, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43155477493120264, std values: 0.9542858080447189, min values: -3.2960357033722465, max values: 2.642076374475678, median values: -0.4796650098730707, and quantile values: 0.25 -1.205508\n0.50 -0.479665\n0.75 0.242726\nName: 5223, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37049409900707864, std values: 0.7486168227148228, min values: -2.092815429397888, max values: 3.415255285860171, median values: -0.4546018032952104, and quantile values: 0.25 -0.889731\n0.50 -0.454602\n0.75 0.051769\nName: 5224, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.1397479698960955, std values: 1.765656134392898, min values: -2.944950884974346, max values: 4.278004674434932, median values: -2.0082465718292566, and quantile values: 0.25 -2.365821\n0.50 -2.008247\n0.75 -0.141044\nName: 5225, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16211622721373614, std values: 0.9109403856989311, min values: -2.9472833478224456, max values: 6.0, median values: -0.1142847765124723, and quantile values: 0.25 -0.723911\n0.50 -0.114285\n0.75 0.404554\nName: 5226, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1864355754851563, std values: 0.8638644304060817, min values: -2.732564679617164, max values: 3.1888787873512885, median values: -0.3000383293931475, and quantile values: 0.25 -0.852196\n0.50 -0.300038\n0.75 0.411947\nName: 5227, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27707688219363524, std values: 0.8304402570944512, min values: -2.1615535666033687, max values: 3.9905524164385566, median values: 0.3828600546906744, and quantile values: 0.25 -0.344302\n0.50 0.382860\n0.75 0.882798\nName: 5228, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39337291187612544, std values: 0.9362421837811254, min values: -2.815821936576896, max values: 3.1106274661862763, median values: -0.4238309896845489, and quantile values: 0.25 -1.025656\n0.50 -0.423831\n0.75 0.156099\nName: 5229, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0007731400090475944, std values: 1.0040686436535275, min values: -2.673124659932621, max values: 6.0, median values: 0.0586945235756951, and quantile values: 0.25 -0.502757\n0.50 0.058695\n0.75 0.625715\nName: 5230, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4745161084273663, std values: 0.9790752714345419, min values: -2.8531572940820533, max values: 3.0, median values: -0.5218111841835765, and quantile values: 0.25 -1.227885\n0.50 -0.521811\n0.75 0.205757\nName: 5231, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4438921372937137, std values: 0.9854652825796038, min values: -2.5689076212724418, max values: 5.0, median values: 0.47978860088398, and quantile values: 0.25 -0.289030\n0.50 0.479789\n0.75 1.215737\nName: 5232, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28943867860598305, std values: 0.785664177406232, min values: -2.4176069991382847, max values: 6.0, median values: -0.3737965372485202, and quantile values: 0.25 -0.872351\n0.50 -0.373797\n0.75 0.216627\nName: 5233, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.40666833263937, std values: 0.9621882528930302, min values: -2.727901130262228, max values: 4.0, median values: -1.7567713095247628, and quantile values: 0.25 -2.140874\n0.50 -1.756771\n0.75 -0.682185\nName: 5234, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5187740738925533, std values: 1.0971664067766365, min values: -2.6652153608723106, max values: 5.0, median values: 0.5782886381220899, and quantile values: 0.25 -0.214738\n0.50 0.578289\n0.75 1.410457\nName: 5235, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2706495930721733, std values: 0.8472871951463237, min values: -2.673549169958716, max values: 6.0, median values: -0.2661080315496911, and quantile values: 0.25 -0.775961\n0.50 -0.266108\n0.75 0.214873\nName: 5236, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06769093854922138, std values: 0.875447587703183, min values: -2.109891368636471, max values: 5.0, median values: -0.1893987438842911, and quantile values: 0.25 -0.730536\n0.50 -0.189399\n0.75 0.478074\nName: 5237, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12494713796513462, std values: 0.8114405367698534, min values: -2.196708653609315, max values: 6.0, median values: 0.0590259803134876, and quantile values: 0.25 -0.454335\n0.50 0.059026\n0.75 0.680302\nName: 5238, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4328866549818003, std values: 1.059836269134737, min values: -2.8451834694312192, max values: 3.518664430018096, median values: 0.4329038859680934, and quantile values: 0.25 -0.341720\n0.50 0.432904\n0.75 1.265748\nName: 5239, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20340110149105936, std values: 0.8512977036971182, min values: -2.5961021427111413, max values: 3.9905524164385566, median values: -0.1947427091881378, and quantile values: 0.25 -0.688524\n0.50 -0.194743\n0.75 0.329247\nName: 5240, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12091162162698181, std values: 1.0708962580983954, min values: -2.1217267615601973, max values: 4.243835016543704, median values: 0.0173506377405857, and quantile values: 0.25 -0.735229\n0.50 0.017351\n0.75 0.960453\nName: 5241, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4268610328629319, std values: 0.891933856054666, min values: -2.45229857681487, max values: 3.9048392686725855, median values: 0.3889708567587464, and quantile values: 0.25 -0.139664\n0.50 0.388971\n0.75 0.990816\nName: 5242, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4257975609168577, std values: 0.9969343442679809, min values: -1.947797115129811, max values: 3.169414082461771, median values: 0.3307662442532819, and quantile values: 0.25 -0.288775\n0.50 0.330766\n0.75 1.173243\nName: 5243, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6821462874799397, std values: 0.913417562062629, min values: -2.525881048269423, max values: 3.598076523509904, median values: 0.8285077764659527, and quantile values: 0.25 0.094656\n0.50 0.828508\n0.75 1.306268\nName: 5244, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35564520341088923, std values: 0.9597705852607241, min values: -2.1819329670786605, max values: 3.670892362631932, median values: 0.2591647621230585, and quantile values: 0.25 -0.337370\n0.50 0.259165\n0.75 0.953974\nName: 5245, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22035444009865685, std values: 1.0897023446679897, min values: -2.7428415536925543, max values: 5.0, median values: -0.036249673334071, and quantile values: 0.25 -0.773014\n0.50 -0.036250\n0.75 0.506755\nName: 5246, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2702569576895251, std values: 0.846410689576251, min values: -2.572123985342288, max values: 4.0, median values: -0.3622387536389362, and quantile values: 0.25 -0.921773\n0.50 -0.362239\n0.75 0.293543\nName: 5247, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34176954314911834, std values: 0.911177331093532, min values: -2.5906203367024587, max values: 3.2701555622463814, median values: -0.4977482614714049, and quantile values: 0.25 -1.039312\n0.50 -0.497748\n0.75 0.227720\nName: 5248, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5624207649762447, std values: 1.5883630972961196, min values: -2.928515832252388, max values: 4.278004674434932, median values: 0.6703859662344782, and quantile values: 0.25 -0.408728\n0.50 0.670386\n0.75 1.735603\nName: 5249, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2669929601563845, std values: 0.8442498670087274, min values: -2.5122218748354936, max values: 3.0, median values: -0.3369032325892682, and quantile values: 0.25 -0.810162\n0.50 -0.336903\n0.75 0.260069\nName: 5250, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.023242413297820282, std values: 0.8597138109625461, min values: -2.647534520773021, max values: 4.0, median values: 0.0797800999049894, and quantile values: 0.25 -0.593469\n0.50 0.079780\n0.75 0.636053\nName: 5251, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07977295995123145, std values: 1.3136249883727487, min values: -2.8246479422601736, max values: 6.0, median values: -0.0679642324528513, and quantile values: 0.25 -1.152608\n0.50 -0.067964\n0.75 1.075550\nName: 5252, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38294782079379824, std values: 0.852881869828223, min values: -2.222049826555007, max values: 3.1841025362512254, median values: -0.5362872330543492, and quantile values: 0.25 -1.010012\n0.50 -0.536287\n0.75 0.145228\nName: 5253, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14161284062422613, std values: 0.744298135864783, min values: -2.066019572692439, max values: 5.0, median values: -0.1895431192746315, and quantile values: 0.25 -0.639225\n0.50 -0.189543\n0.75 0.293395\nName: 5254, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.039575160064636836, std values: 1.0531959701030518, min values: -3.2960357033722465, max values: 3.434669824302974, median values: 0.0996642862678395, and quantile values: 0.25 -0.692176\n0.50 0.099664\n0.75 0.850091\nName: 5255, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3275178013511708, std values: 0.990323229800999, min values: -2.264034258932616, max values: 4.243835016543704, median values: 0.3603213969005003, and quantile values: 0.25 -0.440646\n0.50 0.360321\n0.75 1.086743\nName: 5256, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1066310841539473, std values: 0.8382646947309008, min values: -2.7211321814067784, max values: 3.0, median values: -0.1050072843980692, and quantile values: 0.25 -0.645821\n0.50 -0.105007\n0.75 0.445764\nName: 5257, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04007797995894161, std values: 0.9146957888181129, min values: -2.1057850514779166, max values: 5.0, median values: 0.0502917831528394, and quantile values: 0.25 -0.687768\n0.50 0.050292\n0.75 0.776076\nName: 5258, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4441219107716316, std values: 0.8796166430542294, min values: -2.841647375415054, max values: 5.0, median values: 0.5714753964014617, and quantile values: 0.25 0.016332\n0.50 0.571475\n0.75 1.004321\nName: 5259, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41098759655119677, std values: 0.8670672528366313, min values: -2.048647522117408, max values: 5.0, median values: 0.4863494810754046, and quantile values: 0.25 -0.191123\n0.50 0.486349\n0.75 1.044054\nName: 5260, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41235350925882114, std values: 1.405138923873642, min values: -2.8563982925340614, max values: 5.0, median values: -0.3386901005265678, and quantile values: 0.25 -1.722062\n0.50 -0.338690\n0.75 0.565681\nName: 5261, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5022265182548277, std values: 0.948545446575779, min values: -2.8451834694312192, max values: 4.243835016543704, median values: 0.5441755249312509, and quantile values: 0.25 -0.166443\n0.50 0.544176\n0.75 1.221000\nName: 5262, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43217593929989945, std values: 0.9391507280832156, min values: -2.6603025395856053, max values: 5.0, median values: -0.3667851936251304, and quantile values: 0.25 -1.048016\n0.50 -0.366785\n0.75 0.164041\nName: 5263, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11471997422939283, std values: 0.7739720209093588, min values: -2.087432639025188, max values: 4.0, median values: 0.1740447171849662, and quantile values: 0.25 -0.424865\n0.50 0.174045\n0.75 0.640307\nName: 5264, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.278073416995806, std values: 1.0020854529468435, min values: -2.3922473154067863, max values: 5.0, median values: 0.2579851479121158, and quantile values: 0.25 -0.445391\n0.50 0.257985\n0.75 0.934909\nName: 5265, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17223085741190441, std values: 0.7202033923708128, min values: -2.023695050960669, max values: 5.0, median values: 0.1632593776553981, and quantile values: 0.25 -0.275249\n0.50 0.163259\n0.75 0.625888\nName: 5266, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07021717243533784, std values: 0.9859168459129549, min values: -2.9029979285382743, max values: 3.0, median values: 0.2345085452850639, and quantile values: 0.25 -0.422177\n0.50 0.234509\n0.75 0.727231\nName: 5267, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.044467410527966066, std values: 0.9759801303211207, min values: -2.5399045531878324, max values: 4.0, median values: 0.1093141929517483, and quantile values: 0.25 -0.516895\n0.50 0.109314\n0.75 0.646607\nName: 5268, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40018735488220775, std values: 0.8634666014053046, min values: -2.097362986026047, max values: 3.0, median values: -0.4761765804119912, and quantile values: 0.25 -1.103881\n0.50 -0.476177\n0.75 0.160888\nName: 5269, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19835194414138796, std values: 1.2107595988102822, min values: -2.6320986139293034, max values: 4.026668017837955, median values: 0.1314784179703629, and quantile values: 0.25 -0.599523\n0.50 0.131478\n0.75 1.032765\nName: 5270, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1501465023561249, std values: 0.8509574106966168, min values: -2.6660404517971856, max values: 4.0, median values: 0.1425010561209319, and quantile values: 0.25 -0.398318\n0.50 0.142501\n0.75 0.689607\nName: 5271, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04090139598874592, std values: 0.8935025565272477, min values: -2.1355258137915776, max values: 6.0, median values: -0.1339930853889572, and quantile values: 0.25 -0.713595\n0.50 -0.133993\n0.75 0.561773\nName: 5272, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2618748683657223, std values: 0.871669732707804, min values: -2.5774281843044924, max values: 4.0, median values: 0.2705226567548614, and quantile values: 0.25 -0.275846\n0.50 0.270523\n0.75 0.798790\nName: 5273, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33373578827519784, std values: 1.0042409371963685, min values: -2.8998169811239416, max values: 3.784832159836258, median values: 0.27453446967101, and quantile values: 0.25 -0.415758\n0.50 0.274534\n0.75 1.087341\nName: 5274, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34045688578639943, std values: 0.8872256230995063, min values: -2.673549169958716, max values: 6.0, median values: -0.2951715062573328, and quantile values: 0.25 -0.866763\n0.50 -0.295172\n0.75 0.186560\nName: 5275, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7138464274731926, std values: 0.7990073064715479, min values: -1.8667076115389163, max values: 3.434669824302974, median values: 0.7801070969131493, and quantile values: 0.25 0.178601\n0.50 0.780107\n0.75 1.300081\nName: 5276, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10843199918711391, std values: 0.8715560316549562, min values: -2.5953860446419177, max values: 5.0, median values: 0.1397473781757011, and quantile values: 0.25 -0.369352\n0.50 0.139747\n0.75 0.637402\nName: 5277, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08457170968633822, std values: 0.8099319061591322, min values: -2.2915911556076085, max values: 3.0, median values: -0.1392542019964403, and quantile values: 0.25 -0.637234\n0.50 -0.139254\n0.75 0.392062\nName: 5278, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08691511079062639, std values: 0.827811229651885, min values: -2.783691185534105, max values: 4.243835016543704, median values: 0.0314826347552489, and quantile values: 0.25 -0.462648\n0.50 0.031483\n0.75 0.633582\nName: 5279, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4331827968246171, std values: 0.8582209505710703, min values: -2.6899145007874274, max values: 3.05919958255637, median values: -0.5445094183516593, and quantile values: 0.25 -1.027405\n0.50 -0.544509\n0.75 0.081828\nName: 5280, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2243387188755296, std values: 0.9449160448790056, min values: -2.0773212586940626, max values: 6.0, median values: 0.1604412354637235, and quantile values: 0.25 -0.390725\n0.50 0.160441\n0.75 0.765952\nName: 5281, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.279710012826405, std values: 1.0217827804209771, min values: -2.684072796644972, max values: 6.0, median values: 0.4562221851942585, and quantile values: 0.25 -0.308212\n0.50 0.456222\n0.75 0.957662\nName: 5282, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19979629222555823, std values: 0.8837216568832966, min values: -2.070696498607387, max values: 6.0, median values: -0.3564150916081872, and quantile values: 0.25 -0.833987\n0.50 -0.356415\n0.75 0.337564\nName: 5283, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33770217482410314, std values: 0.8581755923417163, min values: -2.5213149333948146, max values: 3.9048392686725855, median values: 0.4143468829174639, and quantile values: 0.25 -0.246727\n0.50 0.414347\n0.75 0.941538\nName: 5284, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5999968268840072, std values: 0.9382548405709893, min values: -2.3966479093703765, max values: 3.0, median values: -0.6549115245015641, and quantile values: 0.25 -1.401504\n0.50 -0.654912\n0.75 0.064652\nName: 5285, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09797726627149429, std values: 0.9171536776900893, min values: -2.196708653609315, max values: 6.0, median values: -0.2279519835215981, and quantile values: 0.25 -0.788977\n0.50 -0.227952\n0.75 0.504314\nName: 5286, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3405981814285213, std values: 0.7764688845871404, min values: -2.710223074556336, max values: 4.0, median values: 0.3889453650843662, and quantile values: 0.25 -0.149882\n0.50 0.388945\n0.75 0.838077\nName: 5287, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.017352524230953896, std values: 0.7708131004212326, min values: -2.56026492390943, max values: 4.0, median values: 0.0087851538693093, and quantile values: 0.25 -0.469709\n0.50 0.008785\n0.75 0.465132\nName: 5288, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4233460735871339, std values: 0.9373407827147299, min values: -2.4125199145038643, max values: 4.0, median values: 0.5296214442931741, and quantile values: 0.25 -0.253694\n0.50 0.529621\n0.75 1.137900\nName: 5289, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29434150772780354, std values: 0.812161654877364, min values: -2.732564679617164, max values: 3.528773265847577, median values: 0.2435530601435378, and quantile values: 0.25 -0.237058\n0.50 0.243553\n0.75 0.809291\nName: 5290, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5801856240250888, std values: 0.9165367654881329, min values: -1.989871054037948, max values: 4.0, median values: 0.7087007206700883, and quantile values: 0.25 -0.078402\n0.50 0.708701\n0.75 1.283244\nName: 5291, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.210725406125405, std values: 1.1275439787923158, min values: -2.727901130262228, max values: 4.0, median values: -1.684476327598758, and quantile values: 0.25 -2.140406\n0.50 -1.684476\n0.75 -0.242981\nName: 5292, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2851868588000713, std values: 0.9876966532262493, min values: -2.148890724929834, max values: 3.528773265847577, median values: 0.2780535979086008, and quantile values: 0.25 -0.468971\n0.50 0.278054\n0.75 1.099328\nName: 5293, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3841721642259557, std values: 0.7374372700238484, min values: -2.5631847770497496, max values: 4.0, median values: -0.4667645888084296, and quantile values: 0.25 -0.891811\n0.50 -0.466765\n0.75 0.051742\nName: 5294, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.48326994997375294, std values: 0.7989242134352088, min values: -1.8911636282289404, max values: 3.1395741599540568, median values: 0.5560763724840742, and quantile values: 0.25 -0.062527\n0.50 0.556076\n0.75 1.058387\nName: 5295, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9066209629481667, std values: 0.8718775698742722, min values: -2.6652153608723106, max values: 5.0, median values: -1.0941530186213826, and quantile values: 0.25 -1.614700\n0.50 -1.094153\n0.75 -0.353741\nName: 5296, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31183037033363203, std values: 0.8595304621440653, min values: -2.710223074556336, max values: 4.0, median values: 0.3351840318692641, and quantile values: 0.25 -0.308703\n0.50 0.335184\n0.75 0.912046\nName: 5297, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3141810888007092, std values: 0.8673889169353908, min values: -3.0687217584296813, max values: 3.215720519334646, median values: -0.3041695804372896, and quantile values: 0.25 -0.870347\n0.50 -0.304170\n0.75 0.221408\nName: 5298, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11752614019428924, std values: 0.900990464569362, min values: -2.6404955031131814, max values: 6.0, median values: 0.1888801237243399, and quantile values: 0.25 -0.510819\n0.50 0.188880\n0.75 0.709884\nName: 5299, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.313231129251841, std values: 1.0790191598894678, min values: -2.5201815750705507, max values: 4.0, median values: -0.4377784242993675, and quantile values: 0.25 -1.143426\n0.50 -0.437778\n0.75 0.436445\nName: 5300, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31355036826159816, std values: 1.0427905154711459, min values: -2.739804196611005, max values: 6.0, median values: 0.4650399070911623, and quantile values: 0.25 -0.250192\n0.50 0.465040\n0.75 0.991992\nName: 5301, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1710798842159671, std values: 0.8650599137566435, min values: -2.7428415536925543, max values: 5.0, median values: -0.1882914222042576, and quantile values: 0.25 -0.683924\n0.50 -0.188291\n0.75 0.355786\nName: 5302, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3388892567574027, std values: 0.8475316522647776, min values: -2.783691185534105, max values: 3.1290445144064547, median values: 0.3988297304357951, and quantile values: 0.25 -0.234197\n0.50 0.398830\n0.75 0.977718\nName: 5303, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05425719624436304, std values: 0.889984256543291, min values: -2.0360128381441656, max values: 5.0, median values: -0.0223837447507943, and quantile values: 0.25 -0.609772\n0.50 -0.022384\n0.75 0.664119\nName: 5304, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5776980573923948, std values: 1.376410360732718, min values: -2.093800662299286, max values: 5.0, median values: 0.3473381078165725, and quantile values: 0.25 -0.540808\n0.50 0.347338\n0.75 1.715548\nName: 5305, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.049652080066586037, std values: 1.0359786918172027, min values: -2.9265160609644223, max values: 6.0, median values: -0.0125031738900075, and quantile values: 0.25 -0.574331\n0.50 -0.012503\n0.75 0.705694\nName: 5306, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5068404464561813, std values: 0.9983158383338544, min values: -2.815821936576896, max values: 3.0, median values: -0.5954714031046389, and quantile values: 0.25 -1.146932\n0.50 -0.595471\n0.75 0.075060\nName: 5307, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3436922821258187, std values: 0.8186769923614109, min values: -2.8121055320525654, max values: 5.0, median values: 0.378448047674116, and quantile values: 0.25 -0.163176\n0.50 0.378448\n0.75 0.898196\nName: 5308, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17392888556404226, std values: 0.8765136906529152, min values: -2.4737574649270093, max values: 3.071284484560209, median values: -0.2614601973926503, and quantile values: 0.25 -0.870762\n0.50 -0.261460\n0.75 0.439761\nName: 5309, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4005954029069316, std values: 0.7744671195614151, min values: -1.9248083972297123, max values: 6.0, median values: 0.4680797883885225, and quantile values: 0.25 -0.074480\n0.50 0.468080\n0.75 0.923712\nName: 5310, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11591417656393808, std values: 0.9399464993644643, min values: -2.300042081328127, max values: 4.0, median values: -0.2427984040478639, and quantile values: 0.25 -0.816995\n0.50 -0.242798\n0.75 0.484071\nName: 5311, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1740050818269442, std values: 0.7684250158233862, min values: -2.446475285346346, max values: 3.110498035652072, median values: 0.1647387222039672, and quantile values: 0.25 -0.314881\n0.50 0.164739\n0.75 0.653615\nName: 5312, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3585764894882667, std values: 1.123774374814775, min values: -2.982771139679002, max values: 4.0, median values: 0.4391124032321512, and quantile values: 0.25 -0.248620\n0.50 0.439112\n0.75 1.141293\nName: 5313, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14231523384701117, std values: 0.8311124301945819, min values: -2.3771558481240653, max values: 4.0, median values: 0.1305010541585435, and quantile values: 0.25 -0.424812\n0.50 0.130501\n0.75 0.674267\nName: 5314, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12881409046115835, std values: 0.8097655390998881, min values: -2.3922473154067863, max values: 5.0, median values: -0.1867779173822738, and quantile values: 0.25 -0.689266\n0.50 -0.186778\n0.75 0.370354\nName: 5315, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19287494393182772, std values: 0.7569547463942249, min values: -2.5039074859839925, max values: 4.0, median values: 0.1679219350593868, and quantile values: 0.25 -0.282551\n0.50 0.167922\n0.75 0.651479\nName: 5316, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11230296431585451, std values: 0.9613656560618181, min values: -2.838932175687192, max values: 4.0, median values: -0.1325035930325784, and quantile values: 0.25 -0.765991\n0.50 -0.132504\n0.75 0.479506\nName: 5317, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2317383471110884, std values: 1.0251695290022407, min values: -2.226424194672579, max values: 4.0, median values: 0.2716995805752465, and quantile values: 0.25 -0.597646\n0.50 0.271700\n0.75 1.020061\nName: 5318, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27948382567747443, std values: 0.9451410730385981, min values: -2.6685266729136536, max values: 6.0, median values: 0.1890483361737073, and quantile values: 0.25 -0.348694\n0.50 0.189048\n0.75 0.881098\nName: 5319, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32565787685758163, std values: 0.910002343799303, min values: -2.6668673616981367, max values: 4.0, median values: -0.4223121547463951, and quantile values: 0.25 -0.954123\n0.50 -0.422312\n0.75 0.221262\nName: 5320, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03133529705872337, std values: 0.8406765917449116, min values: -2.1765768535583003, max values: 4.0, median values: 0.0273012438118375, and quantile values: 0.25 -0.581644\n0.50 0.027301\n0.75 0.631542\nName: 5321, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47372499045031113, std values: 0.8828405628032271, min values: -2.1317706126061804, max values: 6.0, median values: 0.4248654373345326, and quantile values: 0.25 -0.125578\n0.50 0.424865\n0.75 1.025164\nName: 5322, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6257064436059638, std values: 0.8962488667819677, min values: -2.1798712735263623, max values: 3.197902420311553, median values: 0.6896254399700125, and quantile values: 0.25 0.009643\n0.50 0.689625\n0.75 1.252485\nName: 5323, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19648212467579546, std values: 0.9882196731687279, min values: -2.6635706018350787, max values: 3.5427287984042666, median values: 0.2746202614514971, and quantile values: 0.25 -0.534336\n0.50 0.274620\n0.75 0.982437\nName: 5324, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7242265596181943, std values: 1.0213484979975984, min values: -2.5122218748354936, max values: 3.0, median values: -0.887483359822882, and quantile values: 0.25 -1.471316\n0.50 -0.887483\n0.75 -0.014016\nName: 5325, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3613575491243946, std values: 1.0053636918503168, min values: -2.1057850514779166, max values: 6.0, median values: 0.3945319949197766, and quantile values: 0.25 -0.398017\n0.50 0.394532\n0.75 1.163715\nName: 5326, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19722791828107364, std values: 0.9559420764261829, min values: -2.657750824678472, max values: 5.0, median values: 0.1636780236854457, and quantile values: 0.25 -0.434274\n0.50 0.163678\n0.75 0.847110\nName: 5327, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14715278439641785, std values: 1.0433490986904799, min values: -2.732564679617164, max values: 3.3636961113187773, median values: -0.229218380881243, and quantile values: 0.25 -0.890304\n0.50 -0.229218\n0.75 0.589190\nName: 5328, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08486819243157533, std values: 0.7714171818861097, min values: -1.993875354875403, max values: 3.0932086550988465, median values: 0.040899092094227, and quantile values: 0.25 -0.411977\n0.50 0.040899\n0.75 0.581817\nName: 5329, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31620073078023675, std values: 1.0012356328130427, min values: -2.5820330744015787, max values: 4.0, median values: -0.3228880011195065, and quantile values: 0.25 -0.943642\n0.50 -0.322888\n0.75 0.365168\nName: 5330, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04285295142605859, std values: 0.9184255174153934, min values: -2.5859127503381347, max values: 3.0, median values: -0.1214007463499241, and quantile values: 0.25 -0.657234\n0.50 -0.121401\n0.75 0.604177\nName: 5331, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07336383282690356, std values: 0.965129413262199, min values: -2.6603025395856053, max values: 5.0, median values: -0.0659881263393734, and quantile values: 0.25 -0.633178\n0.50 -0.065988\n0.75 0.503696\nName: 5332, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11934966689288183, std values: 1.0189206624256795, min values: -2.196708653609315, max values: 6.0, median values: -0.1807281384005425, and quantile values: 0.25 -0.943225\n0.50 -0.180728\n0.75 0.602683\nName: 5333, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42495642992096455, std values: 0.9207845548896055, min values: -2.6117120822772133, max values: 5.0, median values: 0.4839950741556985, and quantile values: 0.25 -0.246329\n0.50 0.483995\n0.75 1.082403\nName: 5334, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11380322386261522, std values: 0.8747774419293307, min values: -2.641174291463747, max values: 6.0, median values: 0.1476835129563051, and quantile values: 0.25 -0.381053\n0.50 0.147684\n0.75 0.641660\nName: 5335, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38546615858427935, std values: 0.9577067104083558, min values: -2.8350118695332047, max values: 5.0, median values: -0.3011150810781035, and quantile values: 0.25 -0.938069\n0.50 -0.301115\n0.75 0.223879\nName: 5336, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.015632598976882274, std values: 0.896892466516249, min values: -2.2477784840641744, max values: 4.0, median values: -0.0792584942658258, and quantile values: 0.25 -0.623795\n0.50 -0.079258\n0.75 0.557102\nName: 5337, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.089729126836706, std values: 0.9032946725600284, min values: -2.209826040384377, max values: 3.169414082461771, median values: -0.1756526207086714, and quantile values: 0.25 -0.776259\n0.50 -0.175653\n0.75 0.521464\nName: 5338, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6813830640643027, std values: 1.2703833061419492, min values: -2.558791007225312, max values: 3.667275230673496, median values: 0.6413723259084092, and quantile values: 0.25 -0.269533\n0.50 0.641372\n0.75 1.736456\nName: 5339, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05366606479176169, std values: 0.9421955736470735, min values: -2.841647375415054, max values: 2.9015285354187115, median values: -0.0550252466551489, and quantile values: 0.25 -0.603165\n0.50 -0.055025\n0.75 0.561066\nName: 5340, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23096720284948433, std values: 1.0407353954639829, min values: -2.9472833478224456, max values: 6.0, median values: -0.2973134647263352, and quantile values: 0.25 -1.008472\n0.50 -0.297313\n0.75 0.544765\nName: 5341, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6055056004806258, std values: 1.0221644014599853, min values: -2.5953860446419177, max values: 5.0, median values: 0.7017790540437799, and quantile values: 0.25 -0.193508\n0.50 0.701779\n0.75 1.478399\nName: 5342, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5023654375477229, std values: 0.8915842775835736, min values: -2.7211321814067784, max values: 3.047545592545638, median values: -0.5283204191170943, and quantile values: 0.25 -1.137268\n0.50 -0.528320\n0.75 0.133791\nName: 5343, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16027531304492704, std values: 0.9141522677412828, min values: -2.222049826555007, max values: 3.3337116327022187, median values: 0.1541398719384457, and quantile values: 0.25 -0.537814\n0.50 0.154140\n0.75 0.880807\nName: 5344, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23220279745163044, std values: 0.7655472704074261, min values: -2.5689076212724418, max values: 5.0, median values: 0.2800961707249919, and quantile values: 0.25 -0.253006\n0.50 0.280096\n0.75 0.728279\nName: 5345, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11580727205788176, std values: 0.7483658863483724, min values: -2.048935494746508, max values: 3.260388056018088, median values: -0.1993757887445885, and quantile values: 0.25 -0.605334\n0.50 -0.199376\n0.75 0.330367\nName: 5346, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14456449212908365, std values: 0.9323151716607104, min values: -2.72346435408924, max values: 4.0, median values: 0.1296429838579231, and quantile values: 0.25 -0.536096\n0.50 0.129643\n0.75 0.840876\nName: 5347, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05949874615118661, std values: 0.985495193953552, min values: -2.684072796644972, max values: 6.0, median values: -0.082341026963042, and quantile values: 0.25 -0.818724\n0.50 -0.082341\n0.75 0.656748\nName: 5348, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3936467756977503, std values: 0.9122941254514848, min values: -2.9029979285382743, max values: 4.243835016543704, median values: -0.4603809530265994, and quantile values: 0.25 -0.950802\n0.50 -0.460381\n0.75 0.108497\nName: 5349, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03855253374041408, std values: 1.2243467777051986, min values: -2.9109251266226006, max values: 3.9905524164385566, median values: 0.0449679779989849, and quantile values: 0.25 -0.965963\n0.50 0.044968\n0.75 0.890918\nName: 5350, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02246449035688919, std values: 0.8793704031901786, min values: -2.9029979285382743, max values: 6.0, median values: -0.0318647035527069, and quantile values: 0.25 -0.557137\n0.50 -0.031865\n0.75 0.506381\nName: 5351, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.827231533619441, std values: 0.9095735163312597, min values: -2.916688926075616, max values: 6.0, median values: -0.948030072336312, and quantile values: 0.25 -1.469017\n0.50 -0.948030\n0.75 -0.343650\nName: 5352, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10151600480847085, std values: 0.7558781785560356, min values: -2.087432639025188, max values: 4.0, median values: 0.087725497390067, and quantile values: 0.25 -0.395377\n0.50 0.087725\n0.75 0.564615\nName: 5353, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10326445263815566, std values: 0.8589442807751111, min values: -3.236860296211546, max values: 3.3636961113187773, median values: 0.1280462732995924, and quantile values: 0.25 -0.402672\n0.50 0.128046\n0.75 0.635177\nName: 5354, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6631792038013176, std values: 0.89616270960167, min values: -3.103622965243163, max values: 3.2266531185902125, median values: -0.8206090741116768, and quantile values: 0.25 -1.272403\n0.50 -0.820609\n0.75 -0.135021\nName: 5355, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26549492512833606, std values: 0.8241648026870575, min values: -2.8843374390620142, max values: 6.0, median values: 0.1849846874726503, and quantile values: 0.25 -0.251132\n0.50 0.184985\n0.75 0.766244\nName: 5356, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45327600849536664, std values: 0.9308282191404658, min values: -2.27710446206836, max values: 3.4758930087721422, median values: 0.4951093105538954, and quantile values: 0.25 -0.234020\n0.50 0.495109\n0.75 1.176872\nName: 5357, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3178422995319276, std values: 1.0782169503528225, min values: -2.502473825041029, max values: 4.0, median values: -0.4314707971787451, and quantile values: 0.25 -1.238977\n0.50 -0.431471\n0.75 0.483115\nName: 5358, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3124195159877982, std values: 0.8607111285602776, min values: -2.27710446206836, max values: 3.0, median values: -0.3710623685246779, and quantile values: 0.25 -0.992798\n0.50 -0.371062\n0.75 0.274334\nName: 5359, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22839926525521342, std values: 1.3381307399450753, min values: -2.5480471136681566, max values: 5.0, median values: 0.0560904420938693, and quantile values: 0.25 -0.912213\n0.50 0.056090\n0.75 1.206968\nName: 5360, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3484351589399099, std values: 0.9734559397398151, min values: -2.104270394087118, max values: 4.0, median values: 0.4767627242428575, and quantile values: 0.25 -0.350430\n0.50 0.476763\n0.75 1.087694\nName: 5361, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2751982157758998, std values: 0.7989024061797235, min values: -2.0531592997310795, max values: 3.155170554159904, median values: 0.3293935683534136, and quantile values: 0.25 -0.227030\n0.50 0.329394\n0.75 0.787175\nName: 5362, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18220824155302326, std values: 0.7489049789791377, min values: -2.6117120822772133, max values: 5.0, median values: 0.2275638950762584, and quantile values: 0.25 -0.322266\n0.50 0.227564\n0.75 0.699915\nName: 5363, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4047684027818859, std values: 0.9614106081822293, min values: -2.2398683045325223, max values: 3.569037956734876, median values: 0.4123671812387764, and quantile values: 0.25 -0.280416\n0.50 0.412367\n0.75 1.046713\nName: 5364, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09972718245002966, std values: 1.0221739120193862, min values: -2.6800544037614658, max values: 4.0, median values: -0.0929134583580111, and quantile values: 0.25 -0.880158\n0.50 -0.092913\n0.75 0.648033\nName: 5365, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.706645625498057, std values: 1.0097830177855782, min values: -2.5213149333948146, max values: 3.528773265847577, median values: 0.7337042911300795, and quantile values: 0.25 -0.022762\n0.50 0.733704\n0.75 1.526637\nName: 5366, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1632369771143904, std values: 0.9240356943768563, min values: -1.997911883973804, max values: 2.678061324225598, median values: -0.3060463896262212, and quantile values: 0.25 -0.916815\n0.50 -0.306046\n0.75 0.508747\nName: 5367, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08249272723012797, std values: 0.9974982773338797, min values: -2.6115251494731915, max values: 3.9048392686725855, median values: 0.0157531385989248, and quantile values: 0.25 -0.596954\n0.50 0.015753\n0.75 0.753969\nName: 5368, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.043798860750148924, std values: 0.9000939353513988, min values: -2.5953860446419177, max values: 3.336438412828754, median values: -0.0292784723028703, and quantile values: 0.25 -0.673140\n0.50 -0.029278\n0.75 0.571430\nName: 5369, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1851018243502762, std values: 0.8496622211410919, min values: -1.9815643918577683, max values: 6.0, median values: 0.1214432961228031, and quantile values: 0.25 -0.414000\n0.50 0.121443\n0.75 0.749767\nName: 5370, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24961388304765303, std values: 0.9109957012554026, min values: -2.222049826555007, max values: 3.598076523509904, median values: -0.3838266403778305, and quantile values: 0.25 -0.933248\n0.50 -0.383827\n0.75 0.361344\nName: 5371, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2554917427258143, std values: 1.191631277354359, min values: -2.8563982925340614, max values: 5.0, median values: -0.0851159746715622, and quantile values: 0.25 -0.935890\n0.50 -0.085116\n0.75 0.589467\nName: 5372, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.015309947695409812, std values: 0.824156706705226, min values: -2.5825978442440407, max values: 6.0, median values: 0.018287123079896, and quantile values: 0.25 -0.539632\n0.50 0.018287\n0.75 0.534772\nName: 5373, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20567035330183853, std values: 0.8074604066020389, min values: -2.226424194672579, max values: 4.0, median values: -0.2998652754441183, and quantile values: 0.25 -0.790219\n0.50 -0.299865\n0.75 0.326850\nName: 5374, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2581402080044902, std values: 1.0561217959405773, min values: -2.9622221028070275, max values: 4.0, median values: -0.0881848860116932, and quantile values: 0.25 -0.845690\n0.50 -0.088185\n0.75 0.443332\nName: 5375, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05388372307038381, std values: 1.1337687501792792, min values: -2.916688926075616, max values: 6.0, median values: -0.0482951833726029, and quantile values: 0.25 -0.865366\n0.50 -0.048295\n0.75 0.860757\nName: 5376, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2517855867246749, std values: 0.9000966660998873, min values: -2.679056533720636, max values: 5.0, median values: 0.2391731067148934, and quantile values: 0.25 -0.276239\n0.50 0.239173\n0.75 0.855159\nName: 5377, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11603692423484112, std values: 0.8338557416910447, min values: -2.748993280390358, max values: 3.477886732511886, median values: 0.1131244601070079, and quantile values: 0.25 -0.440698\n0.50 0.113124\n0.75 0.640239\nName: 5378, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05544491213123884, std values: 0.7615549824271495, min values: -2.688157591415518, max values: 3.390469008396469, median values: 0.0926140431521849, and quantile values: 0.25 -0.446070\n0.50 0.092614\n0.75 0.542052\nName: 5379, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28145362685219993, std values: 0.8349955960981736, min values: -2.058083533069946, max values: 4.0, median values: 0.3495732383925148, and quantile values: 0.25 -0.269322\n0.50 0.349573\n0.75 0.834617\nName: 5380, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.056662042613627256, std values: 0.8189659990669372, min values: -2.693453432157769, max values: 3.0, median values: 0.0679918354692395, and quantile values: 0.25 -0.444335\n0.50 0.067992\n0.75 0.539905\nName: 5381, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3954469526873881, std values: 0.8791162832936614, min values: -2.8547740449753216, max values: 5.0, median values: 0.4766084599930656, and quantile values: 0.25 -0.092068\n0.50 0.476608\n0.75 0.939695\nName: 5382, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.380129834032756, std values: 0.9593298788590915, min values: -2.419133598913117, max values: 3.5581019918925243, median values: 0.3179618576481017, and quantile values: 0.25 -0.251698\n0.50 0.317962\n0.75 0.982304\nName: 5383, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10420629132211834, std values: 0.9012180785973244, min values: -2.2423374092797945, max values: 3.496479817235339, median values: 0.0440216614951444, and quantile values: 0.25 -0.522569\n0.50 0.044022\n0.75 0.628103\nName: 5384, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3426591220157396, std values: 0.9768448785013185, min values: -2.93129584560762, max values: 6.0, median values: -0.4038667597529859, and quantile values: 0.25 -1.064656\n0.50 -0.403867\n0.75 0.354855\nName: 5385, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16573596953350775, std values: 0.8884314808538546, min values: -2.5399045531878324, max values: 4.0, median values: 0.2007685971826278, and quantile values: 0.25 -0.308331\n0.50 0.200769\n0.75 0.683263\nName: 5386, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2377697200775071, std values: 0.8092575820650975, min values: -2.196181211030292, max values: 5.0, median values: 0.2746926273735764, and quantile values: 0.25 -0.352334\n0.50 0.274693\n0.75 0.825097\nName: 5387, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10246337021471112, std values: 0.8266629602733371, min values: -2.507084845405409, max values: 3.3014869995452325, median values: 0.1114780791512935, and quantile values: 0.25 -0.491551\n0.50 0.111478\n0.75 0.685943\nName: 5388, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17338784246882444, std values: 0.9734330827414496, min values: -2.6270253558526173, max values: 4.0, median values: -0.1758686422599008, and quantile values: 0.25 -0.695393\n0.50 -0.175869\n0.75 0.461974\nName: 5389, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16496010322872012, std values: 0.9828128053957319, min values: -2.919359491767569, max values: 5.0, median values: -0.1722527251587278, and quantile values: 0.25 -0.702091\n0.50 -0.172253\n0.75 0.417560\nName: 5390, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20792397398575782, std values: 0.86042573163269, min values: -2.0353567906974, max values: 5.0, median values: -0.3242217449723565, and quantile values: 0.25 -0.837703\n0.50 -0.324222\n0.75 0.333014\nName: 5391, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12506473103229396, std values: 1.2080532071853018, min values: -2.5953860446419177, max values: 5.0, median values: 0.1039273744283774, and quantile values: 0.25 -0.763075\n0.50 0.103927\n0.75 1.085358\nName: 5392, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23814104885335913, std values: 0.9958847838786098, min values: -2.8680719719444903, max values: 3.5908526919299577, median values: -0.2505951420577549, and quantile values: 0.25 -0.903356\n0.50 -0.250595\n0.75 0.372567\nName: 5393, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13282621480392406, std values: 0.8807250004107245, min values: -2.5156802245814003, max values: 4.0, median values: -0.2097961551551632, and quantile values: 0.25 -0.696326\n0.50 -0.209796\n0.75 0.420653\nName: 5394, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16891854597645473, std values: 0.8948310034051106, min values: -2.6320986139293034, max values: 3.110498035652072, median values: -0.0967686688191098, and quantile values: 0.25 -0.709975\n0.50 -0.096769\n0.75 0.408113\nName: 5395, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06256895282989344, std values: 0.9878422601705095, min values: -2.6652153608723106, max values: 5.0, median values: 0.0024579909395201, and quantile values: 0.25 -0.628050\n0.50 0.002458\n0.75 0.706896\nName: 5396, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23185747760939207, std values: 0.7327587710230482, min values: -2.061387406231346, max values: 6.0, median values: 0.24637816928733, and quantile values: 0.25 -0.244484\n0.50 0.246378\n0.75 0.695662\nName: 5397, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2387352018392017, std values: 1.1257815147324828, min values: -2.789830374413015, max values: 3.2906806286429298, median values: -0.0056959463757972, and quantile values: 0.25 -0.580441\n0.50 -0.005696\n0.75 0.938197\nName: 5398, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14252209106200128, std values: 0.9507860675459037, min values: -2.572123985342288, max values: 4.0, median values: 0.0495635091870121, and quantile values: 0.25 -0.555695\n0.50 0.049564\n0.75 0.753500\nName: 5399, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05717143054359399, std values: 0.93807606798164, min values: -2.641174291463747, max values: 6.0, median values: -0.0647074342822868, and quantile values: 0.25 -0.646549\n0.50 -0.064707\n0.75 0.537801\nName: 5400, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08247301652109985, std values: 0.8421406538123065, min values: -2.100786257316884, max values: 4.278004674434932, median values: -0.1766426928002313, and quantile values: 0.25 -0.667660\n0.50 -0.176643\n0.75 0.438719\nName: 5401, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1428159949805522, std values: 0.9635689224520915, min values: -2.693453432157769, max values: 3.176672644814091, median values: -0.041135636039388, and quantile values: 0.25 -0.694961\n0.50 -0.041136\n0.75 0.476379\nName: 5402, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05283894825990961, std values: 1.0509261264110454, min values: -2.7211321814067784, max values: 3.076680642207697, median values: 0.202432856983956, and quantile values: 0.25 -0.504072\n0.50 0.202433\n0.75 0.714874\nName: 5403, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.056567454522587, std values: 0.9333085021793565, min values: -2.737201088051888, max values: 3.250922035035844, median values: -0.1557285669746022, and quantile values: 0.25 -0.811706\n0.50 -0.155729\n0.75 0.606128\nName: 5404, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08558304206153146, std values: 1.0953863611371686, min values: -2.684072796644972, max values: 6.0, median values: -0.02795604379091, and quantile values: 0.25 -0.803649\n0.50 -0.027956\n0.75 0.738326\nName: 5405, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.009373396832210768, std values: 0.8284219085606057, min values: -1.9811722310795352, max values: 3.5021977227593246, median values: -0.0135666217152774, and quantile values: 0.25 -0.585441\n0.50 -0.013567\n0.75 0.534952\nName: 5406, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36390126006662843, std values: 0.9855873079994513, min values: -2.783691185534105, max values: 3.306454397423372, median values: -0.4412969658466777, and quantile values: 0.25 -1.159659\n0.50 -0.441297\n0.75 0.345757\nName: 5407, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09491983561105226, std values: 1.146089704438627, min values: -2.873069976951463, max values: 3.32433157891547, median values: 0.2079603173400498, and quantile values: 0.25 -0.452763\n0.50 0.207960\n0.75 0.763711\nName: 5408, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06571532021801842, std values: 1.0108230692277882, min values: -2.4823451998031074, max values: 3.0876051304901218, median values: -0.1957532029981509, and quantile values: 0.25 -0.734498\n0.50 -0.195753\n0.75 0.605377\nName: 5409, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.015970340112568024, std values: 0.763925563513892, min values: -2.39180940730784, max values: 4.0, median values: 0.0180813811114377, and quantile values: 0.25 -0.459240\n0.50 0.018081\n0.75 0.463368\nName: 5410, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25360272664789996, std values: 0.851364793891575, min values: -2.1098479262714123, max values: 5.0, median values: -0.3666840795631436, and quantile values: 0.25 -0.899010\n0.50 -0.366684\n0.75 0.299420\nName: 5411, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22782749896167576, std values: 1.166570297217683, min values: -2.869671295224012, max values: 6.0, median values: 0.3995975777248669, and quantile values: 0.25 -0.449518\n0.50 0.399598\n0.75 1.021414\nName: 5412, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5267572087761632, std values: 1.1669570946597385, min values: -2.7428415536925543, max values: 5.0, median values: 0.5877008449908, and quantile values: 0.25 -0.241506\n0.50 0.587701\n0.75 1.411650\nName: 5413, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3098841754787903, std values: 0.7344108758752816, min values: -2.536941606705235, max values: 4.0, median values: 0.28774883277754, and quantile values: 0.25 -0.151986\n0.50 0.287749\n0.75 0.752360\nName: 5414, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4325529725473986, std values: 1.0271921633857188, min values: -1.997101971817732, max values: 5.0, median values: 0.4428346922167578, and quantile values: 0.25 -0.372656\n0.50 0.442835\n0.75 1.310703\nName: 5415, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15821193796781466, std values: 0.7792347570567487, min values: -2.4788285026914285, max values: 4.0, median values: -0.2287377770076923, and quantile values: 0.25 -0.678159\n0.50 -0.228738\n0.75 0.311728\nName: 5416, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06785989440861309, std values: 0.7522700475667005, min values: -2.6117120822772133, max values: 5.0, median values: 0.0899544075353012, and quantile values: 0.25 -0.431393\n0.50 0.089954\n0.75 0.542147\nName: 5417, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13794506900364537, std values: 0.8089881743691254, min values: -2.3344113078233786, max values: 3.2071942083719924, median values: 0.1585724789372792, and quantile values: 0.25 -0.456374\n0.50 0.158572\n0.75 0.763996\nName: 5418, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11767854537461858, std values: 1.038420258024579, min values: -2.8531572940820533, max values: 3.022367128892113, median values: -0.1739579824171803, and quantile values: 0.25 -0.899759\n0.50 -0.173958\n0.75 0.619862\nName: 5419, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09235518670165879, std values: 0.8798819485667632, min values: -3.0223671288921072, max values: 2.949186837165591, median values: 0.0379424815698244, and quantile values: 0.25 -0.598720\n0.50 0.037942\n0.75 0.728129\nName: 5420, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6272717142072466, std values: 1.1680210679353766, min values: -2.090851036172633, max values: 6.0, median values: 0.6217248045810233, and quantile values: 0.25 -0.287742\n0.50 0.621725\n0.75 1.592472\nName: 5421, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15526202356127913, std values: 0.9387073395870152, min values: -2.8282523283494294, max values: 4.0, median values: 0.208345317587676, and quantile values: 0.25 -0.471370\n0.50 0.208345\n0.75 0.756297\nName: 5422, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15266750089732573, std values: 0.8573458534757555, min values: -2.783691185534105, max values: 3.438667023696733, median values: -0.1346600188013546, and quantile values: 0.25 -0.757193\n0.50 -0.134660\n0.75 0.382119\nName: 5423, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08246900887872079, std values: 0.9010171064481639, min values: -2.862971749830789, max values: 3.784832159836258, median values: 0.1729890255289851, and quantile values: 0.25 -0.495265\n0.50 0.172989\n0.75 0.700371\nName: 5424, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07529613278983503, std values: 0.8615184287038341, min values: -2.507084845405409, max values: 3.2906806286429298, median values: 0.0142757255726098, and quantile values: 0.25 -0.510861\n0.50 0.014276\n0.75 0.612746\nName: 5425, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13090590239707015, std values: 0.9261215690728175, min values: -2.8680719719444903, max values: 4.026668017837955, median values: -0.2198418991565266, and quantile values: 0.25 -0.796813\n0.50 -0.219842\n0.75 0.450757\nName: 5426, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8839693746292709, std values: 1.0276169925256242, min values: -2.558791007225312, max values: 3.0, median values: -0.8065051166291587, and quantile values: 0.25 -1.826710\n0.50 -0.806505\n0.75 -0.132993\nName: 5427, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3600305067687358, std values: 1.2255814815336927, min values: -2.928515832252388, max values: 3.0, median values: -0.1204960420514709, and quantile values: 0.25 -1.279395\n0.50 -0.120496\n0.75 0.499878\nName: 5428, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22662605794303883, std values: 0.801095485706581, min values: -2.783691185534105, max values: 3.528773265847577, median values: 0.2694477487607476, and quantile values: 0.25 -0.314861\n0.50 0.269448\n0.75 0.758881\nName: 5429, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24128096633809484, std values: 0.8229901027139217, min values: -2.0754191617391693, max values: 3.415255285860171, median values: 0.1842519120336303, and quantile values: 0.25 -0.293401\n0.50 0.184252\n0.75 0.734517\nName: 5430, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3519850839311487, std values: 1.2470526614511754, min values: -2.727901130262228, max values: 4.278004674434932, median values: -0.4298209906837434, and quantile values: 0.25 -1.161007\n0.50 -0.429821\n0.75 0.396476\nName: 5431, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09422868408496675, std values: 0.847726185003681, min values: -1.977656420648408, max values: 5.0, median values: -0.1435750395431538, and quantile values: 0.25 -0.757486\n0.50 -0.143575\n0.75 0.474950\nName: 5432, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36269100073319394, std values: 1.0494012862779225, min values: -2.891990595045606, max values: 6.0, median values: -0.235040694248905, and quantile values: 0.25 -1.086451\n0.50 -0.235041\n0.75 0.316887\nName: 5433, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13281442934737706, std values: 0.9671766356259935, min values: -2.607565022042742, max values: 4.0, median values: -0.0750047373530228, and quantile values: 0.25 -0.830917\n0.50 -0.075005\n0.75 0.585703\nName: 5434, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2616635889387374, std values: 0.9574818812564355, min values: -2.7428415536925543, max values: 5.0, median values: 0.3778801603637894, and quantile values: 0.25 -0.310761\n0.50 0.377880\n0.75 0.932014\nName: 5435, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.060777160920399816, std values: 0.8284391716467672, min values: -2.032741323324237, max values: 3.3636961113187773, median values: -0.1292984324389469, and quantile values: 0.25 -0.638820\n0.50 -0.129298\n0.75 0.465654\nName: 5436, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.2118480656191013, std values: 1.2064134257749697, min values: -3.242093130849769, max values: 2.475778245535816, median values: -1.7269352032133278, and quantile values: 0.25 -2.159848\n0.50 -1.726935\n0.75 -0.212237\nName: 5437, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4046996448327388, std values: 0.9349577074091082, min values: -2.641174291463747, max values: 6.0, median values: 0.5576842905286775, and quantile values: 0.25 -0.117116\n0.50 0.557684\n0.75 1.040589\nName: 5438, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33269032693102085, std values: 0.8688358508457497, min values: -2.6023368942328267, max values: 3.0, median values: 0.3942275624336767, and quantile values: 0.25 -0.272076\n0.50 0.394228\n0.75 0.964962\nName: 5439, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09765516949754174, std values: 0.958709319405637, min values: -2.6404955031131814, max values: 6.0, median values: -0.1301673487697918, and quantile values: 0.25 -0.684717\n0.50 -0.130167\n0.75 0.507068\nName: 5440, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12161065581039197, std values: 0.8749709920325799, min values: -2.5695487141177, max values: 4.0, median values: 0.2491405904221182, and quantile values: 0.25 -0.378946\n0.50 0.249141\n0.75 0.715581\nName: 5441, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4999664335333245, std values: 0.9601664612456414, min values: -2.6800544037614658, max values: 4.0, median values: -0.492060839548171, and quantile values: 0.25 -1.125384\n0.50 -0.492061\n0.75 0.115688\nName: 5442, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06425682370371387, std values: 0.8507882439365785, min values: -2.148634675597145, max values: 5.0, median values: 0.0137976336167739, and quantile values: 0.25 -0.588403\n0.50 0.013798\n0.75 0.648414\nName: 5443, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05292507837538978, std values: 0.7171159845037496, min values: -3.066111439712689, max values: 3.3014869995452325, median values: 0.0393143060403306, and quantile values: 0.25 -0.424300\n0.50 0.039314\n0.75 0.489099\nName: 5444, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1592269536111054, std values: 0.9006085504533641, min values: -2.608390851963037, max values: 5.0, median values: -0.1182257144592457, and quantile values: 0.25 -0.723051\n0.50 -0.118226\n0.75 0.393014\nName: 5445, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01907137706877161, std values: 0.8692804641421955, min values: -2.3808324358856225, max values: 3.096891534584617, median values: -0.0715316967488133, and quantile values: 0.25 -0.639544\n0.50 -0.071532\n0.75 0.674801\nName: 5446, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39449329194429894, std values: 1.0723206793676283, min values: -2.733804248449497, max values: 3.3014869995452325, median values: -0.4958498128250614, and quantile values: 0.25 -1.240626\n0.50 -0.495850\n0.75 0.276537\nName: 5447, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6466036373669831, std values: 0.8952689346301812, min values: -1.9540766287208235, max values: 3.1175233493066874, median values: 0.6813448321367129, and quantile values: 0.25 0.033875\n0.50 0.681345\n0.75 1.257084\nName: 5448, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36250104327756016, std values: 0.9456148109264286, min values: -2.5832619696830608, max values: 6.0, median values: 0.3920029533482146, and quantile values: 0.25 -0.345251\n0.50 0.392003\n0.75 1.125747\nName: 5449, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26302636141256575, std values: 1.0492286533878132, min values: -2.1227739687253626, max values: 3.5581019918925243, median values: 0.1563865033618893, and quantile values: 0.25 -0.584838\n0.50 0.156387\n0.75 1.038688\nName: 5450, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21776671095244937, std values: 0.6980895323782075, min values: -2.245752867605861, max values: 3.216771431244405, median values: 0.1998040637486506, and quantile values: 0.25 -0.217679\n0.50 0.199804\n0.75 0.641660\nName: 5451, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10959503112666068, std values: 0.9296059620880183, min values: -2.842989614395848, max values: 5.0, median values: -0.1790488269145664, and quantile values: 0.25 -0.704671\n0.50 -0.179049\n0.75 0.508343\nName: 5452, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07524453418928004, std values: 1.7070378950557656, min values: -2.8563982925340614, max values: 5.0, median values: -0.0875213869199121, and quantile values: 0.25 -1.784884\n0.50 -0.087521\n0.75 1.415839\nName: 5453, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11269888304125, std values: 0.9309244549077631, min values: -2.7688682710567485, max values: 3.9048392686725855, median values: 0.188179295985895, and quantile values: 0.25 -0.472324\n0.50 0.188179\n0.75 0.823525\nName: 5454, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3576498838181472, std values: 0.957390340670416, min values: -1.9958895544113944, max values: 3.0, median values: 0.3490829623971535, and quantile values: 0.25 -0.419130\n0.50 0.349083\n0.75 1.059878\nName: 5455, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20794185909269963, std values: 0.7927771911265279, min values: -2.5689076212724418, max values: 5.0, median values: 0.2389550877948821, and quantile values: 0.25 -0.325470\n0.50 0.238955\n0.75 0.743326\nName: 5456, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14532701255467598, std values: 0.7669577488367076, min values: -2.374446373878101, max values: 4.0, median values: -0.207090954903607, and quantile values: 0.25 -0.648531\n0.50 -0.207091\n0.75 0.278032\nName: 5457, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05186937795682832, std values: 0.8465083609522409, min values: -1.996293367561078, max values: 3.397048482165858, median values: -0.1223311247445046, and quantile values: 0.25 -0.654707\n0.50 -0.122331\n0.75 0.509123\nName: 5458, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44905497186107995, std values: 0.8094066745703412, min values: -2.566149343918479, max values: 6.0, median values: 0.4958498128250614, and quantile values: 0.25 -0.061369\n0.50 0.495850\n0.75 0.970460\nName: 5459, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25477538710963693, std values: 0.8123235035736549, min values: -2.300042081328127, max values: 4.0, median values: -0.3560877138950817, and quantile values: 0.25 -0.816880\n0.50 -0.356088\n0.75 0.206319\nName: 5460, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14318920575940985, std values: 0.866228157956346, min values: -3.2266531185902174, max values: 3.224152805256112, median values: -0.0641279075338964, and quantile values: 0.25 -0.739976\n0.50 -0.064128\n0.75 0.452892\nName: 5461, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4080849847031909, std values: 0.840485301750866, min values: -2.0540666893857096, max values: 5.0, median values: 0.4673117343784598, and quantile values: 0.25 -0.194069\n0.50 0.467312\n0.75 1.046952\nName: 5462, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21332068332039508, std values: 1.0754752771789566, min values: -2.622408470084112, max values: 3.760287110694155, median values: 0.3659258435025606, and quantile values: 0.25 -0.363375\n0.50 0.365926\n0.75 0.924050\nName: 5463, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04604250913797657, std values: 1.0619996343819194, min values: -2.73836943861057, max values: 3.312693232344632, median values: 0.053250059057591, and quantile values: 0.25 -0.675597\n0.50 0.053250\n0.75 0.674979\nName: 5464, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.024324572563132717, std values: 0.7651807575890608, min values: -2.6652153608723106, max values: 3.0, median values: -0.0312971925031223, and quantile values: 0.25 -0.500471\n0.50 -0.031297\n0.75 0.414587\nName: 5465, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3793988722713552, std values: 0.8591435005349257, min values: -2.4960309093026924, max values: 4.243835016543704, median values: 0.435261163098563, and quantile values: 0.25 -0.235429\n0.50 0.435261\n0.75 1.018922\nName: 5466, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27959786087346894, std values: 0.8506153365623187, min values: -2.3333312203517527, max values: 3.784832159836258, median values: -0.3804901183217563, and quantile values: 0.25 -0.901907\n0.50 -0.380490\n0.75 0.268586\nName: 5467, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16466563630469316, std values: 1.0105451664166758, min values: -2.769191083399913, max values: 3.670892362631932, median values: -0.2186289053482596, and quantile values: 0.25 -0.755951\n0.50 -0.218629\n0.75 0.445307\nName: 5468, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18580624308868224, std values: 1.0340195261243976, min values: -2.6800544037614658, max values: 4.0, median values: -0.2161788154013774, and quantile values: 0.25 -0.876513\n0.50 -0.216179\n0.75 0.489952\nName: 5469, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03419181101828539, std values: 0.8044492810289956, min values: -2.049546544677791, max values: 5.0, median values: -0.005506867373564, and quantile values: 0.25 -0.606627\n0.50 -0.005507\n0.75 0.505575\nName: 5470, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16013670851539186, std values: 0.7594798120376984, min values: -2.0148114180740584, max values: 3.17157439250477, median values: 0.2179520255126334, and quantile values: 0.25 -0.376082\n0.50 0.217952\n0.75 0.653240\nName: 5471, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05387703598903429, std values: 0.8129196492179549, min values: -2.572123985342288, max values: 4.0, median values: -0.1071508184849155, and quantile values: 0.25 -0.671036\n0.50 -0.107151\n0.75 0.506692\nName: 5472, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.9560059211631358, std values: 1.0383795635608062, min values: -2.2477784840641744, max values: 4.0, median values: 0.9481041615907624, and quantile values: 0.25 0.326777\n0.50 0.948104\n0.75 1.647202\nName: 5473, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3308459847187523, std values: 0.9172787196807974, min values: -2.634919142586459, max values: 6.0, median values: -0.4070659250747359, and quantile values: 0.25 -0.951852\n0.50 -0.407066\n0.75 0.251442\nName: 5474, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1743927399011416, std values: 2.0223067040791896, min values: -2.9622221028070275, max values: 4.278004674434932, median values: -0.2859756721240289, and quantile values: 0.25 -2.102509\n0.50 -0.285976\n0.75 1.738488\nName: 5475, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16401251104192127, std values: 0.9141834330882163, min values: -2.5774281843044924, max values: 6.0, median values: 0.1381902126101133, and quantile values: 0.25 -0.515078\n0.50 0.138190\n0.75 0.799396\nName: 5476, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14983124664513614, std values: 0.8177627362248118, min values: -2.0490968263769656, max values: 5.0, median values: 0.1167830179674895, and quantile values: 0.25 -0.410928\n0.50 0.116783\n0.75 0.698401\nName: 5477, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19948195636221275, std values: 0.9340624310769704, min values: -2.497627580948261, max values: 3.5908526919299577, median values: -0.2547433333208436, and quantile values: 0.25 -0.779114\n0.50 -0.254743\n0.75 0.377058\nName: 5478, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3107993956846129, std values: 0.7906842890531454, min values: -2.0437322601529133, max values: 3.2906806286429298, median values: 0.2693906344289038, and quantile values: 0.25 -0.160790\n0.50 0.269391\n0.75 0.793474\nName: 5479, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.055632274851276135, std values: 0.8427671205003613, min values: -2.3333312203517527, max values: 3.867701659180865, median values: 0.1086355783248698, and quantile values: 0.25 -0.535917\n0.50 0.108636\n0.75 0.657781\nName: 5480, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35816520001190566, std values: 0.8396310434605835, min values: -1.7693213955515217, max values: 4.0, median values: 0.2880690830665772, and quantile values: 0.25 -0.229134\n0.50 0.288069\n0.75 0.943078\nName: 5481, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2113939164107104, std values: 0.8019046750411154, min values: -2.1227739687253626, max values: 3.0, median values: -0.2345062061582304, and quantile values: 0.25 -0.774417\n0.50 -0.234506\n0.75 0.253688\nName: 5482, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4840879930260247, std values: 1.176234628754616, min values: -2.733804248449497, max values: 3.627976272701048, median values: 0.6460825798043776, and quantile values: 0.25 -0.340092\n0.50 0.646083\n0.75 1.379563\nName: 5483, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11366394342345092, std values: 0.862116919001958, min values: -2.536941606705235, max values: 4.0, median values: -0.1965742253488189, and quantile values: 0.25 -0.723419\n0.50 -0.196574\n0.75 0.429308\nName: 5484, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4681881598792541, std values: 0.9350646715506102, min values: -2.6820581866633817, max values: 3.4758930087721422, median values: 0.6072236451563189, and quantile values: 0.25 -0.023353\n0.50 0.607224\n0.75 1.087426\nName: 5485, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10048576112699872, std values: 0.8055019808261635, min values: -2.662750916816848, max values: 5.0, median values: 0.0186176511041591, and quantile values: 0.25 -0.456275\n0.50 0.018618\n0.75 0.627446\nName: 5486, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05159033090891932, std values: 1.2139493633216374, min values: -2.873069976951463, max values: 3.4758930087721422, median values: 0.159689052105046, and quantile values: 0.25 -0.812428\n0.50 0.159689\n0.75 0.971897\nName: 5487, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.161252673907991, std values: 0.8711329090592835, min values: -2.8998169811239416, max values: 3.306454397423372, median values: -0.1042037286539892, and quantile values: 0.25 -0.815650\n0.50 -0.104204\n0.75 0.461211\nName: 5488, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15973525483191084, std values: 1.0989372872969614, min values: -2.374446373878101, max values: 4.278004674434932, median values: 0.0397772550293215, and quantile values: 0.25 -0.729458\n0.50 0.039777\n0.75 1.094185\nName: 5489, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2720784693842297, std values: 0.8046299233674473, min values: -2.5631847770497496, max values: 4.0, median values: 0.2395502047298568, and quantile values: 0.25 -0.243321\n0.50 0.239550\n0.75 0.766276\nName: 5490, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.055503551244923066, std values: 0.8429105360390426, min values: -2.2152723643263457, max values: 4.0, median values: -0.0416087308480496, and quantile values: 0.25 -0.604413\n0.50 -0.041609\n0.75 0.669864\nName: 5491, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.057754641318262814, std values: 0.7433372675108609, min values: -2.267175988438518, max values: 5.0, median values: 0.0340727218959582, and quantile values: 0.25 -0.441297\n0.50 0.034073\n0.75 0.505145\nName: 5492, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15731140942049493, std values: 0.9712363110953112, min values: -2.724017888297919, max values: 3.477886732511886, median values: -0.1500723469643455, and quantile values: 0.25 -0.893148\n0.50 -0.150072\n0.75 0.508634\nName: 5493, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10948432005630435, std values: 0.8600805770522653, min values: -2.4316671413950983, max values: 5.0, median values: -0.1196866533968465, and quantile values: 0.25 -0.727509\n0.50 -0.119687\n0.75 0.482610\nName: 5494, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17008408219704899, std values: 0.9601312869992107, min values: -2.769191083399913, max values: 3.0, median values: -0.1151479676596866, and quantile values: 0.25 -0.680272\n0.50 -0.115148\n0.75 0.455396\nName: 5495, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.022590297312508827, std values: 0.9948115944710039, min values: -2.687115288423959, max values: 5.0, median values: 0.0352025113287332, and quantile values: 0.25 -0.606724\n0.50 0.035203\n0.75 0.597513\nName: 5496, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04553407478662889, std values: 1.1556843440884488, min values: -2.6270253558526173, max values: 4.0, median values: 0.0577712136924983, and quantile values: 0.25 -0.613225\n0.50 0.057771\n0.75 0.834322\nName: 5497, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1000111497377945, std values: 0.9201274512860536, min values: -2.2065783767301927, max values: 6.0, median values: 0.1054870259907049, and quantile values: 0.25 -0.575330\n0.50 0.105487\n0.75 0.774102\nName: 5498, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.006433434336063813, std values: 1.1442561003484242, min values: -2.579723791499676, max values: 4.0, median values: -0.1443930961997471, and quantile values: 0.25 -0.778026\n0.50 -0.144393\n0.75 0.707427\nName: 5499, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7822155642501082, std values: 0.8983421755167447, min values: -2.510124273981921, max values: 3.0, median values: -0.8929679929674805, and quantile values: 0.25 -1.399081\n0.50 -0.892968\n0.75 -0.196671\nName: 5500, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43867472831390664, std values: 0.8304042518101753, min values: -2.419659473655063, max values: 4.0, median values: 0.5272066034205769, and quantile values: 0.25 -0.085089\n0.50 0.527207\n0.75 1.002173\nName: 5501, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02810403084732261, std values: 0.828717712126011, min values: -2.4564928597243227, max values: 4.0, median values: 0.0199948735092449, and quantile values: 0.25 -0.610097\n0.50 0.019995\n0.75 0.526835\nName: 5502, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42368262867372125, std values: 0.8996888057442065, min values: -2.56026492390943, max values: 4.0, median values: -0.5174816086145191, and quantile values: 0.25 -1.058345\n0.50 -0.517482\n0.75 0.154530\nName: 5503, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08435044296500967, std values: 0.9495947852332619, min values: -2.5953860446419177, max values: 3.760287110694155, median values: -0.0859180892627508, and quantile values: 0.25 -0.592451\n0.50 -0.085918\n0.75 0.483646\nName: 5504, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.023008385519757212, std values: 0.9003164139640095, min values: -2.096272675358738, max values: 2.868071971944487, median values: -0.1195914363670773, and quantile values: 0.25 -0.631821\n0.50 -0.119591\n0.75 0.637875\nName: 5505, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34193441463358065, std values: 0.7927669123440343, min values: -2.58513369695146, max values: 3.281452258958016, median values: -0.4086504441628809, and quantile values: 0.25 -0.862710\n0.50 -0.408650\n0.75 0.041348\nName: 5506, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24507002433113234, std values: 0.9717964675187887, min values: -2.589966702820638, max values: 6.0, median values: -0.3295380137675904, and quantile values: 0.25 -1.016103\n0.50 -0.329538\n0.75 0.416963\nName: 5507, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06681446497051186, std values: 1.3833546168490802, min values: -2.9622221028070275, max values: 6.0, median values: 0.0542204737937451, and quantile values: 0.25 -0.930469\n0.50 0.054220\n0.75 0.875190\nName: 5508, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3424642146609628, std values: 0.913163761156395, min values: -3.071284484560209, max values: 3.518664430018096, median values: -0.4080833535838074, and quantile values: 0.25 -1.081396\n0.50 -0.408083\n0.75 0.317216\nName: 5509, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08593738596760526, std values: 0.9065313326307977, min values: -2.572123985342288, max values: 5.0, median values: 0.0479918996557905, and quantile values: 0.25 -0.444821\n0.50 0.047992\n0.75 0.643318\nName: 5510, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2706920574217063, std values: 0.9493748812747418, min values: -2.486556664247513, max values: 3.9048392686725855, median values: 0.3648646662324548, and quantile values: 0.25 -0.296752\n0.50 0.364865\n0.75 0.925489\nName: 5511, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13317127198263082, std values: 1.0006843873626936, min values: -2.618746139350171, max values: 3.060952636712705, median values: -0.2185987772663666, and quantile values: 0.25 -0.898026\n0.50 -0.218599\n0.75 0.535937\nName: 5512, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06512428315805074, std values: 0.9941610857706222, min values: -3.5073564001364024, max values: 3.096891534584617, median values: -0.0251497637488231, and quantile values: 0.25 -0.758438\n0.50 -0.025150\n0.75 0.577452\nName: 5513, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5228199867817371, std values: 1.0056284470880392, min values: -2.510124273981921, max values: 3.455472209455805, median values: -0.6476937666108571, and quantile values: 0.25 -1.345016\n0.50 -0.647694\n0.75 0.149619\nName: 5514, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.013498409877448292, std values: 0.8413748527853772, min values: -2.1222500742240245, max values: 5.0, median values: -0.0405442804630974, and quantile values: 0.25 -0.598013\n0.50 -0.040544\n0.75 0.569150\nName: 5515, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4177415622459453, std values: 1.018951942200556, min values: -2.189133700744016, max values: 6.0, median values: 0.5301918722328381, and quantile values: 0.25 -0.362961\n0.50 0.530192\n0.75 1.211487\nName: 5516, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4447530222034164, std values: 1.0080754479737482, min values: -2.841647375415054, max values: 5.0, median values: 0.5493626439244269, and quantile values: 0.25 -0.069731\n0.50 0.549363\n0.75 1.085159\nName: 5517, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10006597157691052, std values: 0.8055636820380889, min values: -2.45229857681487, max values: 3.455472209455805, median values: -0.2020468918999208, and quantile values: 0.25 -0.697874\n0.50 -0.202047\n0.75 0.430093\nName: 5518, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11110602425923909, std values: 1.0051650803553092, min values: -2.8834699678265463, max values: 5.0, median values: 0.0423956996800139, and quantile values: 0.25 -0.505548\n0.50 0.042396\n0.75 0.767196\nName: 5519, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.48013200372560705, std values: 1.2680196572679692, min values: -2.8563982925340614, max values: 5.0, median values: 0.748636996049881, and quantile values: 0.25 -0.148854\n0.50 0.748637\n0.75 1.413741\nName: 5520, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05709442348649166, std values: 0.8324142923620446, min values: -2.265570063420619, max values: 3.3483277116524426, median values: -0.1542096708020301, and quantile values: 0.25 -0.634773\n0.50 -0.154210\n0.75 0.472571\nName: 5521, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06663652893287503, std values: 0.94926436121167, min values: -2.6320986139293034, max values: 3.0, median values: 0.1657243168178716, and quantile values: 0.25 -0.520754\n0.50 0.165724\n0.75 0.715887\nName: 5522, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.47186862894460324, std values: 0.9129440158266493, min values: -2.739804196611005, max values: 6.0, median values: -0.6346803442791498, and quantile values: 0.25 -1.111129\n0.50 -0.634680\n0.75 0.060447\nName: 5523, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09934402323517684, std values: 0.8067252836527519, min values: -2.8121055320525654, max values: 5.0, median values: -0.0862221458598629, and quantile values: 0.25 -0.676999\n0.50 -0.086222\n0.75 0.402441\nName: 5524, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01195072095626026, std values: 1.0004486413884155, min values: -2.6115251494731915, max values: 3.670892362631932, median values: 0.0156429677728329, and quantile values: 0.25 -0.743072\n0.50 0.015643\n0.75 0.725009\nName: 5525, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0724777504779018, std values: 0.7665838577195495, min values: -2.387026260457412, max values: 6.0, median values: -0.1287985799282978, and quantile values: 0.25 -0.572448\n0.50 -0.128799\n0.75 0.409670\nName: 5526, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5389583506908926, std values: 0.7917124548432564, min values: -2.264034258932616, max values: 3.071284484560209, median values: 0.5553365191652764, and quantile values: 0.25 0.059768\n0.50 0.555337\n0.75 1.058261\nName: 5527, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0724128953401889, std values: 0.9769353372277786, min values: -2.608390851963037, max values: 5.0, median values: 0.0666945493329982, and quantile values: 0.25 -0.600017\n0.50 0.066695\n0.75 0.784279\nName: 5528, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3424296362801081, std values: 0.749243855617058, min values: -2.4705236352348297, max values: 3.258347009006034, median values: 0.3798388514262969, and quantile values: 0.25 -0.103567\n0.50 0.379839\n0.75 0.804334\nName: 5529, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28717199521054293, std values: 0.8662599349406084, min values: -2.10781213968935, max values: 3.041094191308108, median values: -0.4028809362105031, and quantile values: 0.25 -0.946957\n0.50 -0.402881\n0.75 0.259494\nName: 5530, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.013471452659552753, std values: 0.929924202439872, min values: -2.919359491767569, max values: 6.0, median values: 0.0374071092136651, and quantile values: 0.25 -0.494968\n0.50 0.037407\n0.75 0.551454\nName: 5531, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0019953501868352425, std values: 0.8752771993164952, min values: -2.300042081328127, max values: 4.0, median values: 0.0102172629096459, and quantile values: 0.25 -0.619748\n0.50 0.010217\n0.75 0.619319\nName: 5532, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26792988078828495, std values: 0.9427936369001148, min values: -2.143675605330115, max values: 3.455472209455805, median values: -0.3338632968792744, and quantile values: 0.25 -0.975086\n0.50 -0.333863\n0.75 0.336612\nName: 5533, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2582715627898748, std values: 1.0373216708584903, min values: -2.271143658239337, max values: 6.0, median values: 0.3231370032198375, and quantile values: 0.25 -0.543488\n0.50 0.323137\n0.75 1.083167\nName: 5534, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09969799001588181, std values: 0.8240844863191862, min values: -2.5879430435308, max values: 3.362228250221886, median values: -0.0631344831050515, and quantile values: 0.25 -0.662987\n0.50 -0.063134\n0.75 0.428334\nName: 5535, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17010989045302843, std values: 1.05408595691284, min values: -2.7510671817729784, max values: 6.0, median values: -0.077766715553252, and quantile values: 0.25 -0.888341\n0.50 -0.077767\n0.75 0.625256\nName: 5536, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0022014602593482683, std values: 0.7589448487931499, min values: -2.002421692982804, max values: 5.0, median values: -0.0273958171908301, and quantile values: 0.25 -0.489712\n0.50 -0.027396\n0.75 0.465592\nName: 5537, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09810247552363374, std values: 0.9212110519198736, min values: -3.1175233493066874, max values: 2.783691185534104, median values: 0.2048567775614827, and quantile values: 0.25 -0.551177\n0.50 0.204857\n0.75 0.811280\nName: 5538, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2078768600704311, std values: 0.912677852559356, min values: -2.1525285902534432, max values: 3.9905524164385566, median values: 0.238700063596838, and quantile values: 0.25 -0.447194\n0.50 0.238700\n0.75 0.861608\nName: 5539, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10456076679964926, std values: 0.9410990735267739, min values: -2.553213490908114, max values: 6.0, median values: -0.1878108744340214, and quantile values: 0.25 -0.764724\n0.50 -0.187811\n0.75 0.489099\nName: 5540, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03679416102807092, std values: 1.163560826822186, min values: -2.837386543755612, max values: 4.0, median values: 0.1291040415195489, and quantile values: 0.25 -0.779725\n0.50 0.129104\n0.75 0.931746\nName: 5541, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.553652531319235, std values: 0.7914437794867514, min values: -2.1548749249906303, max values: 5.0, median values: -0.7035427887934631, and quantile values: 0.25 -1.137719\n0.50 -0.703543\n0.75 -0.084001\nName: 5542, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3091197587611304, std values: 0.8295663524379292, min values: -2.5879430435308, max values: 3.0, median values: -0.3453806554853099, and quantile values: 0.25 -0.873424\n0.50 -0.345381\n0.75 0.170375\nName: 5543, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5963314174457514, std values: 0.8621858208381403, min values: -2.5657178941897447, max values: 3.0, median values: -0.7650087322781364, and quantile values: 0.25 -1.248632\n0.50 -0.765009\n0.75 -0.097386\nName: 5544, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1299495705012197, std values: 0.8457564755464789, min values: -2.5879430435308, max values: 5.0, median values: 0.1119537281584616, and quantile values: 0.25 -0.507976\n0.50 0.111954\n0.75 0.749330\nName: 5545, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2146136593377369, std values: 1.2909528698008232, min values: -2.5953860446419177, max values: 3.1995118554872866, median values: 0.4854266933676803, and quantile values: 0.25 -0.509661\n0.50 0.485427\n0.75 1.209035\nName: 5546, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4532623773734817, std values: 1.170259603586383, min values: -2.116060046971362, max values: 3.867701659180865, median values: 0.2835882504207645, and quantile values: 0.25 -0.481736\n0.50 0.283588\n0.75 1.263115\nName: 5547, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4149448583549494, std values: 1.1073007322666515, min values: -2.6404955031131814, max values: 5.0, median values: 0.4468893485513378, and quantile values: 0.25 -0.369264\n0.50 0.446889\n0.75 1.321176\nName: 5548, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04582586199475534, std values: 0.776829751840689, min values: -2.6115251494731915, max values: 3.169414082461771, median values: -0.0374931064471488, and quantile values: 0.25 -0.606989\n0.50 -0.037493\n0.75 0.499782\nName: 5549, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33241127200170967, std values: 0.9640186464860145, min values: -2.724017888297919, max values: 3.709787027503053, median values: -0.4576651276854833, and quantile values: 0.25 -1.032789\n0.50 -0.457665\n0.75 0.285114\nName: 5550, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35617271752248897, std values: 0.9511056489178135, min values: -2.271515351377988, max values: 3.135426854633533, median values: -0.4261691178054786, and quantile values: 0.25 -1.082880\n0.50 -0.426169\n0.75 0.295932\nName: 5551, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3671024307303117, std values: 0.8683764720120716, min values: -2.061387406231346, max values: 3.0651860794139534, median values: -0.4649478566690237, and quantile values: 0.25 -1.071565\n0.50 -0.464948\n0.75 0.197490\nName: 5552, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.031531896228071975, std values: 0.9153647502032136, min values: -2.27710446206836, max values: 3.9048392686725855, median values: 0.0291454697913173, and quantile values: 0.25 -0.567094\n0.50 0.029145\n0.75 0.605292\nName: 5553, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03869711247642122, std values: 0.7393223249095274, min values: -2.5682675825126706, max values: 5.0, median values: -0.0033873419840223, and quantile values: 0.25 -0.538511\n0.50 -0.003387\n0.75 0.424481\nName: 5554, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.006952058350556523, std values: 0.9839962072834026, min values: -2.419659473655063, max values: 4.0, median values: -0.0818555385163169, and quantile values: 0.25 -0.797235\n0.50 -0.081856\n0.75 0.736314\nName: 5555, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4690066324755836, std values: 0.9540539596450373, min values: -2.4536054974529624, max values: 6.0, median values: 0.4861979416520598, and quantile values: 0.25 -0.204846\n0.50 0.486198\n0.75 1.136819\nName: 5556, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15285693385988708, std values: 0.9454131005217579, min values: -2.1154918763173005, max values: 6.0, median values: -0.2203497599618765, and quantile values: 0.25 -0.862806\n0.50 -0.220350\n0.75 0.410719\nName: 5557, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1347034126475975, std values: 0.9266738686460326, min values: -2.1047747435038886, max values: 5.0, median values: 0.037469455335426, and quantile values: 0.25 -0.539030\n0.50 0.037469\n0.75 0.752981\nName: 5558, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07068811205202093, std values: 0.7576384348989569, min values: -2.2012167772695554, max values: 3.784832159836258, median values: -0.158488816272193, and quantile values: 0.25 -0.608015\n0.50 -0.158489\n0.75 0.421800\nName: 5559, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3361611123554739, std values: 0.746768898923509, min values: -2.009390704747527, max values: 3.397048482165858, median values: 0.3645208225626223, and quantile values: 0.25 -0.121925\n0.50 0.364521\n0.75 0.800585\nName: 5560, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12494285613711088, std values: 0.8367735878321563, min values: -2.405004427923601, max values: 3.709787027503053, median values: 0.0685439067042616, and quantile values: 0.25 -0.427868\n0.50 0.068544\n0.75 0.690675\nName: 5561, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04781499702018342, std values: 0.8959982423829639, min values: -2.7510671817729784, max values: 6.0, median values: 0.0745904904834868, and quantile values: 0.25 -0.475559\n0.50 0.074590\n0.75 0.578428\nName: 5562, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5104114822014033, std values: 1.2882078485651864, min values: -3.101800431129944, max values: 6.0, median values: -0.2412793597922066, and quantile values: 0.25 -1.803558\n0.50 -0.241279\n0.75 0.432813\nName: 5563, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.369374094640161, std values: 0.8227290794038303, min values: -1.908199896742805, max values: 3.0, median values: 0.3976784000793951, and quantile values: 0.25 -0.196259\n0.50 0.397678\n0.75 0.963404\nName: 5564, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10096149514986089, std values: 0.9397855838156817, min values: -2.6270253558526173, max values: 4.0, median values: -0.0730719603391864, and quantile values: 0.25 -0.667935\n0.50 -0.073072\n0.75 0.494145\nName: 5565, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35323459686350606, std values: 0.7581873375766771, min values: -2.6404955031131814, max values: 5.0, median values: -0.352413620892525, and quantile values: 0.25 -0.888259\n0.50 -0.352414\n0.75 0.116118\nName: 5566, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14457697512641166, std values: 1.1243377976561024, min values: -2.807209974165368, max values: 6.0, median values: 0.2507170858055368, and quantile values: 0.25 -0.694190\n0.50 0.250717\n0.75 0.956435\nName: 5567, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.15943106877525, std values: 1.2566043351725427, min values: -2.727901130262228, max values: 4.0, median values: -1.7100558371545045, and quantile values: 0.25 -2.140406\n0.50 -1.710056\n0.75 -0.279686\nName: 5568, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27400112376750585, std values: 1.1631303320094946, min values: -2.815821936576896, max values: 3.627976272701048, median values: 0.5020009021291295, and quantile values: 0.25 -0.243406\n0.50 0.502001\n0.75 1.008106\nName: 5569, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21671839701173723, std values: 0.8462777319594288, min values: -2.745904427753044, max values: 5.0, median values: -0.2792359729414383, and quantile values: 0.25 -0.908182\n0.50 -0.279236\n0.75 0.402620\nName: 5570, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2803045881754233, std values: 0.9941637275155256, min values: -2.5631960397140583, max values: 4.0, median values: 0.3231479885529916, and quantile values: 0.25 -0.465895\n0.50 0.323148\n0.75 1.071858\nName: 5571, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.055206600959531005, std values: 0.8910976942385663, min values: -2.769191083399913, max values: 3.3483277116524426, median values: 0.1169495931434496, and quantile values: 0.25 -0.452099\n0.50 0.116950\n0.75 0.604413\nName: 5572, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04180547673846095, std values: 0.8415976113925626, min values: -2.2915911556076085, max values: 3.132053530264631, median values: -0.1426676827470578, and quantile values: 0.25 -0.655488\n0.50 -0.142668\n0.75 0.519824\nName: 5573, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21073388940149723, std values: 0.7514206059723756, min values: -2.0604662602729085, max values: 6.0, median values: -0.1822119541243907, and quantile values: 0.25 -0.727375\n0.50 -0.182212\n0.75 0.249156\nName: 5574, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.4736995385445162, std values: 1.1855049191140123, min values: -3.3364384128287203, max values: 3.066111439712683, median values: -1.8865731992989807, and quantile values: 0.25 -2.197065\n0.50 -1.886573\n0.75 -0.604015\nName: 5575, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3592326061251724, std values: 0.8076311690475815, min values: -2.662750916816848, max values: 5.0, median values: 0.2996169581441091, and quantile values: 0.25 -0.174597\n0.50 0.299617\n0.75 0.885566\nName: 5576, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08186751014372134, std values: 0.8949679051408159, min values: -2.662750916816848, max values: 5.0, median values: -0.1066412275598047, and quantile values: 0.25 -0.736158\n0.50 -0.106641\n0.75 0.526039\nName: 5577, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.023526151282240917, std values: 0.7945737729897128, min values: -2.461308921153724, max values: 3.627976272701048, median values: -0.0622698691458606, and quantile values: 0.25 -0.539987\n0.50 -0.062270\n0.75 0.413267\nName: 5578, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.56900827663761, std values: 0.9081117211795156, min values: -2.815821936576896, max values: 3.3636961113187773, median values: -0.6722808923926774, and quantile values: 0.25 -1.189532\n0.50 -0.672281\n0.75 -0.031593\nName: 5579, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3908619153987888, std values: 0.9908500196221577, min values: -2.673549169958716, max values: 6.0, median values: -0.5040011027435205, and quantile values: 0.25 -1.170660\n0.50 -0.504001\n0.75 0.289924\nName: 5580, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20818424080115264, std values: 0.8108350229690973, min values: -2.3334972768252573, max values: 4.0, median values: -0.2275638950762584, and quantile values: 0.25 -0.775440\n0.50 -0.227564\n0.75 0.302289\nName: 5581, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10830590255040902, std values: 0.8632554082835348, min values: -2.419133598913117, max values: 3.0, median values: -0.2138326614993659, and quantile values: 0.25 -0.744833\n0.50 -0.213833\n0.75 0.473310\nName: 5582, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2788573402714547, std values: 1.0460489445935626, min values: -2.807209974165368, max values: 6.0, median values: -0.3152078794741157, and quantile values: 0.25 -1.028808\n0.50 -0.315208\n0.75 0.492310\nName: 5583, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11500937105793864, std values: 0.925829431784861, min values: -2.7825548156447035, max values: 6.0, median values: -0.0728112882605229, and quantile values: 0.25 -0.727626\n0.50 -0.072811\n0.75 0.469340\nName: 5584, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1290483440331339, std values: 0.8197826460058906, min values: -2.5046447434119337, max values: 4.0, median values: -0.2083709042030519, and quantile values: 0.25 -0.718148\n0.50 -0.208371\n0.75 0.381385\nName: 5585, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5461458930750949, std values: 1.040675129880217, min values: -3.1386665508340674, max values: 2.72887840009294, median values: -0.617629678845152, and quantile values: 0.25 -1.422773\n0.50 -0.617630\n0.75 0.206207\nName: 5586, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04712808029768894, std values: 0.9509599815981525, min values: -2.72346435408924, max values: 4.0, median values: -0.0152212086103046, and quantile values: 0.25 -0.677980\n0.50 -0.015221\n0.75 0.721456\nName: 5587, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11310515545967033, std values: 0.83075757709978, min values: -2.6652153608723106, max values: 3.4566816047670264, median values: -0.2219301354959154, and quantile values: 0.25 -0.664775\n0.50 -0.221930\n0.75 0.398047\nName: 5588, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.48585738387894295, std values: 1.020888712219433, min values: -2.0785509901574097, max values: 2.834315464213432, median values: 0.4923406101270522, and quantile values: 0.25 -0.307934\n0.50 0.492341\n0.75 1.362922\nName: 5589, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26009730597204567, std values: 0.8969352594642672, min values: -2.58513369695146, max values: 4.0, median values: 0.2770741009147764, and quantile values: 0.25 -0.250473\n0.50 0.277074\n0.75 0.844541\nName: 5590, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02441827114346238, std values: 0.8332603419338387, min values: -2.0618486359083783, max values: 5.0, median values: -0.1066754191346299, and quantile values: 0.25 -0.603165\n0.50 -0.106675\n0.75 0.480654\nName: 5591, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09370724309224572, std values: 0.7241220012439052, min values: -2.537573835824454, max values: 6.0, median values: -0.1351324661932853, and quantile values: 0.25 -0.571486\n0.50 -0.135132\n0.75 0.333214\nName: 5592, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0800395543757587, std values: 0.9267924522364294, min values: -2.482931728382393, max values: 3.162318759909359, median values: -0.0065704395162309, and quantile values: 0.25 -0.615021\n0.50 -0.006570\n0.75 0.738000\nName: 5593, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22036098549238575, std values: 0.9538053590787631, min values: -2.5624611946462936, max values: 5.0, median values: 0.1838642211424125, and quantile values: 0.25 -0.378803\n0.50 0.183864\n0.75 0.852027\nName: 5594, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7424058603892983, std values: 0.9630208909977993, min values: -2.419659473655063, max values: 4.0, median values: 0.7896542273799753, and quantile values: 0.25 0.050789\n0.50 0.789654\n0.75 1.509417\nName: 5595, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4103663552554963, std values: 0.9139655365007426, min values: -2.641174291463747, max values: 6.0, median values: 0.5516727749569076, and quantile values: 0.25 -0.073320\n0.50 0.551673\n0.75 0.998118\nName: 5596, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5691359610303822, std values: 1.5795624413231137, min values: -3.242093130849769, max values: 3.721862465295849, median values: -0.4134768144428864, and quantile values: 0.25 -2.059088\n0.50 -0.413477\n0.75 0.592812\nName: 5597, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7372778597355318, std values: 1.2883051824949607, min values: -2.9090251609554527, max values: 6.0, median values: 1.0671587239283609, and quantile values: 0.25 0.146648\n0.50 1.067159\n0.75 1.629320\nName: 5598, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3601221872262118, std values: 1.0096259448106122, min values: -2.783691185534105, max values: 3.241738645014612, median values: -0.3617845227310772, and quantile values: 0.25 -1.184453\n0.50 -0.361785\n0.75 0.366169\nName: 5599, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45342310337554415, std values: 1.0042518433802188, min values: -2.5953860446419177, max values: 3.9905524164385566, median values: 0.6338632476139169, and quantile values: 0.25 -0.150504\n0.50 0.633863\n0.75 1.127306\nName: 5600, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5139311770212487, std values: 1.129560052748526, min values: -2.673124659932621, max values: 6.0, median values: 0.5433599371464674, and quantile values: 0.25 -0.251498\n0.50 0.543360\n0.75 1.405412\nName: 5601, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3385735645408621, std values: 1.0699674898745237, min values: -2.92272757463548, max values: 6.0, median values: -0.2490102116879502, and quantile values: 0.25 -0.821618\n0.50 -0.249010\n0.75 0.329887\nName: 5602, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43503433356508403, std values: 0.8658704351187584, min values: -2.321103531050575, max values: 4.0, median values: -0.520916288187787, and quantile values: 0.25 -1.128647\n0.50 -0.520916\n0.75 0.107251\nName: 5603, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1633108801063731, std values: 0.8015932013620675, min values: -2.3594171087178344, max values: 3.280245386470253, median values: -0.2071915701874262, and quantile values: 0.25 -0.705412\n0.50 -0.207192\n0.75 0.324541\nName: 5604, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01234115132629099, std values: 0.8673095529102294, min values: -2.111380524687595, max values: 3.163266084685921, median values: 0.0384543562451045, and quantile values: 0.25 -0.672311\n0.50 0.038454\n0.75 0.698401\nName: 5605, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5303896382391186, std values: 1.0870973150194374, min values: -3.124705982383478, max values: 3.3760121766849016, median values: -0.5804690227406747, and quantile values: 0.25 -1.319202\n0.50 -0.580469\n0.75 0.217800\nName: 5606, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05565034431157488, std values: 0.8085031403731036, min values: -2.335177149869081, max values: 5.0, median values: -0.1721973833529268, and quantile values: 0.25 -0.608901\n0.50 -0.172197\n0.75 0.460528\nName: 5607, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13097066591545564, std values: 0.9343376654152865, min values: -2.928515832252388, max values: 3.627976272701048, median values: -0.156219028522828, and quantile values: 0.25 -0.728380\n0.50 -0.156219\n0.75 0.419749\nName: 5608, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13995311001150132, std values: 0.9276902744198421, min values: -2.93129584560762, max values: 6.0, median values: -0.0569269528263889, and quantile values: 0.25 -0.600842\n0.50 -0.056927\n0.75 0.410115\nName: 5609, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7081791292205412, std values: 1.0499398043942003, min values: -2.643887016977268, max values: 6.0, median values: 0.7335240767129785, and quantile values: 0.25 0.129643\n0.50 0.733524\n0.75 1.400402\nName: 5610, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2817248022179303, std values: 0.8375293107446586, min values: -2.556631690482005, max values: 3.518664430018096, median values: 0.2032540130736417, and quantile values: 0.25 -0.314533\n0.50 0.203254\n0.75 0.867611\nName: 5611, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5071120410067886, std values: 0.9334695063870094, min values: -3.318456222573461, max values: 3.241738645014612, median values: -0.5533797614426874, and quantile values: 0.25 -1.180755\n0.50 -0.553380\n0.75 0.048470\nName: 5612, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.058102100769695915, std values: 1.1986353881924263, min values: -2.982771139679002, max values: 4.0, median values: 0.2231033249834101, and quantile values: 0.25 -0.652034\n0.50 0.223103\n0.75 0.945535\nName: 5613, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10601014625784005, std values: 0.9186098091631157, min values: -3.002493140275396, max values: 5.0, median values: 0.2109352263201901, and quantile values: 0.25 -0.374457\n0.50 0.210935\n0.75 0.678962\nName: 5614, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2628692661298375, std values: 0.9837278471153345, min values: -2.876502173242568, max values: 3.312693232344632, median values: -0.4009701504455555, and quantile values: 0.25 -0.953141\n0.50 -0.400970\n0.75 0.369213\nName: 5615, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40938810715478097, std values: 0.8250211005480331, min values: -2.7648443048846945, max values: 3.169414082461771, median values: -0.541984329840743, and quantile values: 0.25 -1.006476\n0.50 -0.541984\n0.75 0.113956\nName: 5616, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49965083900104484, std values: 0.8918584420549478, min values: -2.0360128381441656, max values: 5.0, median values: 0.4875276954716102, and quantile values: 0.25 -0.137606\n0.50 0.487528\n0.75 1.187616\nName: 5617, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3133443679368717, std values: 0.7497845125359334, min values: -1.9914689440550823, max values: 6.0, median values: 0.3223900569545163, and quantile values: 0.25 -0.155784\n0.50 0.322390\n0.75 0.770947\nName: 5618, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26366838272599274, std values: 0.8862627095627923, min values: -2.26495510042523, max values: 3.4758930087721422, median values: 0.3299675208055025, and quantile values: 0.25 -0.362520\n0.50 0.329968\n0.75 0.895309\nName: 5619, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29796457919850544, std values: 0.9893782384207539, min values: -2.842043939794492, max values: 3.2936960268109283, median values: 0.2842705773413637, and quantile values: 0.25 -0.480222\n0.50 0.284271\n0.75 1.052529\nName: 5620, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.2101650311297596, std values: 1.1000455933957254, min values: -2.982771139679002, max values: 4.0, median values: -1.3620902723399315, and quantile values: 0.25 -2.151134\n0.50 -1.362090\n0.75 -0.361204\nName: 5621, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36304999139280764, std values: 0.8750131942727788, min values: -3.002493140275396, max values: 5.0, median values: -0.4891100479388247, and quantile values: 0.25 -1.031581\n0.50 -0.489110\n0.75 0.194141\nName: 5622, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2449336088733565, std values: 0.8713324364816185, min values: -2.63315074164461, max values: 6.0, median values: -0.3387400894055398, and quantile values: 0.25 -0.903835\n0.50 -0.338740\n0.75 0.329119\nName: 5623, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4793957400232226, std values: 0.8243824063576011, min values: -2.862971749830789, max values: 3.379902545505621, median values: -0.5569641761428948, and quantile values: 0.25 -1.056609\n0.50 -0.556964\n0.75 0.005315\nName: 5624, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2763405510865882, std values: 0.7417665417046745, min values: -2.300042081328127, max values: 4.0, median values: 0.3232615117826241, and quantile values: 0.25 -0.196430\n0.50 0.323262\n0.75 0.764734\nName: 5625, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24965947747111192, std values: 0.790141448650583, min values: -2.081628667506599, max values: 2.873899048542533, median values: -0.3223402669362573, and quantile values: 0.25 -0.830712\n0.50 -0.322340\n0.75 0.262771\nName: 5626, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3358824038237525, std values: 0.8242030659017239, min values: -2.642042398333877, max values: 3.0, median values: -0.4159323545924402, and quantile values: 0.25 -0.913299\n0.50 -0.415932\n0.75 0.167689\nName: 5627, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.045189641984249476, std values: 0.830676410842704, min values: -2.5569229852416258, max values: 4.0, median values: 0.1016571882230655, and quantile values: 0.25 -0.397749\n0.50 0.101657\n0.75 0.555337\nName: 5628, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6768986317266164, std values: 0.8612421271485913, min values: -2.226424194672579, max values: 4.243835016543704, median values: 0.7248937320837496, and quantile values: 0.25 0.136967\n0.50 0.724894\n0.75 1.218116\nName: 5629, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.040604353197829623, std values: 0.8170978241949172, min values: -2.0184711798619435, max values: 3.760287110694155, median values: -0.0150921164636362, and quantile values: 0.25 -0.498765\n0.50 -0.015092\n0.75 0.512525\nName: 5630, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21573873125407242, std values: 1.1820425722325172, min values: -2.8547740449753216, max values: 5.0, median values: -0.0781534393645088, and quantile values: 0.25 -0.844812\n0.50 -0.078153\n0.75 0.539597\nName: 5631, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11298148895702871, std values: 0.7928414425033148, min values: -2.783691185534105, max values: 2.985133931273498, median values: 0.132048202209439, and quantile values: 0.25 -0.385786\n0.50 0.132048\n0.75 0.634099\nName: 5632, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7332523203909965, std values: 0.9010480217038134, min values: -2.919359491767569, max values: 5.0, median values: -0.7930527642513203, and quantile values: 0.25 -1.315814\n0.50 -0.793053\n0.75 -0.256277\nName: 5633, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09828987535977064, std values: 0.7580444736749826, min values: -2.4737574649270093, max values: 3.5021977227593246, median values: -0.090501736824979, and quantile values: 0.25 -0.595359\n0.50 -0.090502\n0.75 0.353948\nName: 5634, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12088613888867314, std values: 0.7619564774192805, min values: -2.2915911556076085, max values: 3.2936960268109283, median values: 0.1154529204328157, and quantile values: 0.25 -0.369922\n0.50 0.115453\n0.75 0.577814\nName: 5635, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07015606891610034, std values: 0.7874514472712282, min values: -2.052612972301563, max values: 3.518664430018096, median values: -0.1273825054676577, and quantile values: 0.25 -0.596888\n0.50 -0.127383\n0.75 0.395198\nName: 5636, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39786800410584017, std values: 0.9110698718026592, min values: -2.8843374390620142, max values: 6.0, median values: 0.4460374360153144, and quantile values: 0.25 -0.213470\n0.50 0.446037\n0.75 1.028528\nName: 5637, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22322611184931784, std values: 0.9053295947031341, min values: -2.72346435408924, max values: 4.0, median values: -0.1048453557392462, and quantile values: 0.25 -0.645929\n0.50 -0.104845\n0.75 0.330120\nName: 5638, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.022384146481794015, std values: 0.8028282406051054, min values: -2.476285024008804, max values: 3.1395741599540568, median values: -0.0377769214274891, and quantile values: 0.25 -0.576083\n0.50 -0.037777\n0.75 0.548922\nName: 5639, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.022688908661261824, std values: 0.9110183589525587, min values: -2.608390851963037, max values: 5.0, median values: 0.1502116043295341, and quantile values: 0.25 -0.544148\n0.50 0.150212\n0.75 0.637516\nName: 5640, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.339263904830668, std values: 1.0053093235631516, min values: -2.584593648802428, max values: 3.9905524164385566, median values: 0.2695421731329189, and quantile values: 0.25 -0.225573\n0.50 0.269542\n0.75 0.874856\nName: 5641, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28178277113359124, std values: 0.8394000011085507, min values: -1.979997573305296, max values: 3.0774992973297404, median values: -0.4055436005577119, and quantile values: 0.25 -0.939352\n0.50 -0.405544\n0.75 0.278827\nName: 5642, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3181119914593094, std values: 0.912915615124528, min values: -2.142854198138545, max values: 5.0, median values: -0.4137686543099186, and quantile values: 0.25 -1.062175\n0.50 -0.413769\n0.75 0.294801\nName: 5643, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10335704714236434, std values: 0.8866006168026042, min values: -1.9902700503252555, max values: 2.9565017136140046, median values: -0.1447213435206692, and quantile values: 0.25 -0.776668\n0.50 -0.144721\n0.75 0.547934\nName: 5644, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.865981093155131, std values: 1.0558552759302062, min values: -3.05087304133376, max values: 5.0, median values: -2.10781213968935, and quantile values: 0.25 -2.371618\n0.50 -2.107812\n0.75 -1.849529\nName: 5645, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14765491157311805, std values: 0.7227294106581033, min values: -2.564449278715455, max values: 3.0, median values: 0.1208769581137038, and quantile values: 0.25 -0.306277\n0.50 0.120877\n0.75 0.552581\nName: 5646, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0004984435960605316, std values: 1.0055138818818972, min values: -2.0636979543884086, max values: 3.124705982383484, median values: -0.0970076978844515, and quantile values: 0.25 -0.770354\n0.50 -0.097008\n0.75 0.674939\nName: 5647, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24912999327936297, std values: 1.0965708635128224, min values: -2.6800544037614658, max values: 4.0, median values: -0.0600914210761927, and quantile values: 0.25 -0.918079\n0.50 -0.060091\n0.75 0.503240\nName: 5648, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3249220008922253, std values: 0.8236469358503353, min values: -2.5825978442440407, max values: 6.0, median values: -0.4329038859680934, and quantile values: 0.25 -0.946957\n0.50 -0.432904\n0.75 0.206415\nName: 5649, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2747795819276498, std values: 1.040804948531106, min values: -2.960014365184806, max values: 6.0, median values: -0.2222688593878058, and quantile values: 0.25 -0.895652\n0.50 -0.222269\n0.75 0.357085\nName: 5650, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2085041197089579, std values: 0.8846918520132959, min values: -2.5122218748354936, max values: 3.784832159836258, median values: -0.2237651955626205, and quantile values: 0.25 -0.841739\n0.50 -0.223765\n0.75 0.364580\nName: 5651, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06985527676107339, std values: 0.7393740421095716, min values: -2.7428415536925543, max values: 2.5820330744015765, median values: -0.0953202990291812, and quantile values: 0.25 -0.556909\n0.50 -0.095320\n0.75 0.391725\nName: 5652, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18884468645861618, std values: 0.8933355704675379, min values: -2.622408470084112, max values: 3.1047159712539405, median values: -0.0954583386360292, and quantile values: 0.25 -0.787240\n0.50 -0.095458\n0.75 0.425021\nName: 5653, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06944817795551218, std values: 0.8505688104779093, min values: -2.6404955031131814, max values: 5.0, median values: 0.1399698579754467, and quantile values: 0.25 -0.435313\n0.50 0.139970\n0.75 0.637335\nName: 5654, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25147503146451444, std values: 0.9154222283987172, min values: -2.6652153608723106, max values: 3.216771431244405, median values: -0.3709087965797001, and quantile values: 0.25 -0.951667\n0.50 -0.370909\n0.75 0.391292\nName: 5655, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08883924338968481, std values: 0.8049094695196344, min values: -2.419659473655063, max values: 4.0, median values: -0.1718055276772386, and quantile values: 0.25 -0.663920\n0.50 -0.171806\n0.75 0.399495\nName: 5656, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29160520977087423, std values: 0.9513044891138789, min values: -2.580492024304656, max values: 3.760287110694155, median values: 0.224436178473659, and quantile values: 0.25 -0.302883\n0.50 0.224436\n0.75 0.828445\nName: 5657, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15449688268065842, std values: 0.9102325524593607, min values: -2.693453432157769, max values: 3.0, median values: -0.2156465941384908, and quantile values: 0.25 -0.751305\n0.50 -0.215647\n0.75 0.437172\nName: 5658, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0496559076605511, std values: 0.7540295066476254, min values: -1.917151927392004, max values: 3.0, median values: 0.0690407886734167, and quantile values: 0.25 -0.470193\n0.50 0.069041\n0.75 0.564820\nName: 5659, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10840508561129109, std values: 0.951596576512977, min values: -2.300042081328127, max values: 4.0, median values: -0.2101102507032867, and quantile values: 0.25 -0.825136\n0.50 -0.210110\n0.75 0.503532\nName: 5660, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09977855748768755, std values: 0.8018431279938123, min values: -2.130927700612447, max values: 3.9905524164385566, median values: 0.0478540448818263, and quantile values: 0.25 -0.393615\n0.50 0.047854\n0.75 0.570373\nName: 5661, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3275879334955109, std values: 0.7387930976712054, min values: -2.093800662299286, max values: 3.20751086257212, median values: -0.3878494618963596, and quantile values: 0.25 -0.831981\n0.50 -0.387849\n0.75 0.101139\nName: 5662, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04938489947971908, std values: 0.8209836275979845, min values: -2.3034680605635955, max values: 3.000356517591168, median values: 0.0631460668779596, and quantile values: 0.25 -0.534190\n0.50 0.063146\n0.75 0.600380\nName: 5663, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4369422492096439, std values: 1.0131099378678592, min values: -2.279638670509252, max values: 6.0, median values: 0.4391124032321512, and quantile values: 0.25 -0.256697\n0.50 0.439112\n0.75 1.126682\nName: 5664, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.004959688111920593, std values: 1.0046205692212664, min values: -2.9622221028070275, max values: 4.0, median values: 0.1102652880757844, and quantile values: 0.25 -0.561552\n0.50 0.110265\n0.75 0.637841\nName: 5665, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5161764199158264, std values: 0.8731887264027719, min values: -2.1443936610614487, max values: 5.0, median values: -0.675527313446696, and quantile values: 0.25 -1.180906\n0.50 -0.675527\n0.75 0.014376\nName: 5666, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08089769071689737, std values: 0.7989755065370484, min values: -2.067884917892885, max values: 5.0, median values: -0.158061493818726, and quantile values: 0.25 -0.633149\n0.50 -0.158061\n0.75 0.383482\nName: 5667, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.038296462827882516, std values: 0.8834049454789038, min values: -2.8563982925340614, max values: 4.243835016543704, median values: 0.0813450476387538, and quantile values: 0.25 -0.454413\n0.50 0.081345\n0.75 0.611350\nName: 5668, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.300003057170302, std values: 0.8426419566683374, min values: -2.783691185534105, max values: 2.887007053971583, median values: -0.3883081553106169, and quantile values: 0.25 -0.900998\n0.50 -0.388308\n0.75 0.244917\nName: 5669, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2743017420422519, std values: 0.9718668279533105, min values: -2.9472833478224456, max values: 6.0, median values: -0.2400973787290751, and quantile values: 0.25 -0.968227\n0.50 -0.240097\n0.75 0.412636\nName: 5670, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5643308573642153, std values: 0.8844464853887785, min values: -1.9206236655718725, max values: 3.667275230673496, median values: 0.6468108957878312, and quantile values: 0.25 -0.060375\n0.50 0.646811\n0.75 1.258512\nName: 5671, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20758197200137668, std values: 0.8792627712885366, min values: -2.6404955031131814, max values: 5.0, median values: -0.2156682912109444, and quantile values: 0.25 -0.743960\n0.50 -0.215668\n0.75 0.293746\nName: 5672, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07605955477571236, std values: 0.9633716859457006, min values: -2.7648443048846945, max values: 2.8252593227772445, median values: 0.1157836347929174, and quantile values: 0.25 -0.708182\n0.50 0.115784\n0.75 0.848311\nName: 5673, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2438199822333947, std values: 0.9692420088971169, min values: -2.045960343889241, max values: 3.784832159836258, median values: 0.239040099313751, and quantile values: 0.25 -0.531111\n0.50 0.239040\n0.75 1.006202\nName: 5674, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3406215304970842, std values: 0.8140154555996896, min values: -2.789830374413015, max values: 3.3014869995452325, median values: 0.3129222859070973, and quantile values: 0.25 -0.186414\n0.50 0.312922\n0.75 0.901349\nName: 5675, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17025243839969667, std values: 0.7634017366682586, min values: -2.5832619696830608, max values: 6.0, median values: 0.1704225772233348, and quantile values: 0.25 -0.320996\n0.50 0.170423\n0.75 0.625101\nName: 5676, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22484336160772553, std values: 0.9055955883387083, min values: -2.521882829270847, max values: 4.0, median values: -0.3075185673211654, and quantile values: 0.25 -0.833385\n0.50 -0.307519\n0.75 0.313530\nName: 5677, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5562686506910923, std values: 0.8834897659996307, min values: -2.572123985342288, max values: 4.0, median values: 0.6232601179125847, and quantile values: 0.25 -0.070465\n0.50 0.623260\n0.75 1.187234\nName: 5678, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.005960588963335633, std values: 0.9595098973272058, min values: -2.783691185534105, max values: 2.9312958456076146, median values: -0.0081241867208397, and quantile values: 0.25 -0.764059\n0.50 -0.008124\n0.75 0.744452\nName: 5679, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16973444582775365, std values: 1.052943938444422, min values: -2.572123985342288, max values: 4.0, median values: -0.309309171931643, and quantile values: 0.25 -1.023886\n0.50 -0.309309\n0.75 0.553539\nName: 5680, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12066733273258357, std values: 0.7201466933391291, min values: -2.0424002644031765, max values: 6.0, median values: 0.1725092294820953, and quantile values: 0.25 -0.353037\n0.50 0.172509\n0.75 0.612547\nName: 5681, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5039536781051875, std values: 1.0703269249061627, min values: -2.0477799217050063, max values: 5.0, median values: 0.4833537317422712, and quantile values: 0.25 -0.337778\n0.50 0.483354\n0.75 1.435768\nName: 5682, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.026042805268221707, std values: 0.7791240789697109, min values: -2.136064736636534, max values: 3.20751086257212, median values: 0.0222260554391506, and quantile values: 0.25 -0.483035\n0.50 0.022226\n0.75 0.488647\nName: 5683, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.026470095777458316, std values: 0.7908648411497601, min values: -2.748993280390358, max values: 3.670892362631932, median values: -0.0173506377405856, and quantile values: 0.25 -0.533409\n0.50 -0.017351\n0.75 0.468141\nName: 5684, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4943108659136564, std values: 0.8063895253526276, min values: -2.102760548955074, max values: 5.0, median values: 0.5355626637933194, and quantile values: 0.25 -0.009974\n0.50 0.535563\n0.75 1.013430\nName: 5685, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6049206973900352, std values: 1.0117915753421807, min values: -2.928515832252388, max values: 5.0, median values: 0.7596528886616543, and quantile values: 0.25 -0.022694\n0.50 0.759653\n0.75 1.346480\nName: 5686, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10122946643378031, std values: 0.8196425761601484, min values: -2.1227739687253626, max values: 3.0, median values: -0.1584444108834594, and quantile values: 0.25 -0.646316\n0.50 -0.158444\n0.75 0.399393\nName: 5687, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3523334160499605, std values: 1.0601606467951081, min values: -2.7211321814067784, max values: 3.3636961113187773, median values: 0.3123484947150501, and quantile values: 0.25 -0.262486\n0.50 0.312348\n0.75 1.094185\nName: 5688, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06864142852117523, std values: 1.092906936508189, min values: -2.623568901859613, max values: 4.0, median values: 0.0025336195120729, and quantile values: 0.25 -0.879357\n0.50 0.002534\n0.75 0.786145\nName: 5689, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6349594289835117, std values: 0.8645088779692263, min values: -1.987483703767688, max values: 4.243835016543704, median values: 0.7413438509772037, and quantile values: 0.25 0.069636\n0.50 0.741344\n0.75 1.240864\nName: 5690, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7704662602055797, std values: 0.9881467775644867, min values: -2.841647375415054, max values: 5.0, median values: 0.8726371042873824, and quantile values: 0.25 0.074397\n0.50 0.872637\n0.75 1.536088\nName: 5691, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1366068444884469, std values: 0.8959977191290347, min values: -2.7688682710567485, max values: 3.32433157891547, median values: -0.0949050517693125, and quantile values: 0.25 -0.686118\n0.50 -0.094905\n0.75 0.407443\nName: 5692, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4110822940600533, std values: 0.8479272465689814, min values: -2.1227739687253626, max values: 3.434669824302974, median values: 0.4734691836482626, and quantile values: 0.25 -0.180671\n0.50 0.473469\n0.75 1.032859\nName: 5693, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25558214724807304, std values: 0.7435906733492511, min values: -2.5759052915632985, max values: 3.784832159836258, median values: 0.2919926502693595, and quantile values: 0.25 -0.178629\n0.50 0.291993\n0.75 0.718327\nName: 5694, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14439777605700999, std values: 0.7633161628334545, min values: -2.72346435408924, max values: 4.0, median values: 0.1896153084512223, and quantile values: 0.25 -0.370502\n0.50 0.189615\n0.75 0.640983\nName: 5695, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3827155815430169, std values: 0.9729057801573975, min values: -2.641174291463747, max values: 6.0, median values: -0.4569544282824322, and quantile values: 0.25 -1.161766\n0.50 -0.456954\n0.75 0.307265\nName: 5696, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5834199917455539, std values: 1.0903508072744765, min values: -2.9265160609644223, max values: 6.0, median values: -0.4683563554174499, and quantile values: 0.25 -1.491721\n0.50 -0.468356\n0.75 0.113180\nName: 5697, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3380028156436405, std values: 1.3330998600570647, min values: -3.124705982383478, max values: 3.627976272701048, median values: 0.5850624543881495, and quantile values: 0.25 -0.488300\n0.50 0.585062\n0.75 1.330675\nName: 5698, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03041947706113385, std values: 0.8041676897367277, min values: -2.5544460869462697, max values: 4.0, median values: 0.0337564822005742, and quantile values: 0.25 -0.555916\n0.50 0.033756\n0.75 0.617515\nName: 5699, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5289316070381064, std values: 0.9495976155505468, min values: -3.21990804472754, max values: 5.0, median values: -0.5378778328493415, and quantile values: 0.25 -1.083167\n0.50 -0.537878\n0.75 0.013577\nName: 5700, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05473159323408817, std values: 0.7636250038569771, min values: -1.9890885222563244, max values: 2.638480863885869, median values: 0.0273721738231433, and quantile values: 0.25 -0.485081\n0.50 0.027372\n0.75 0.521653\nName: 5701, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03390502049400553, std values: 0.7780207852022674, min values: -2.0540666893857096, max values: 5.0, median values: -0.0364288269812454, and quantile values: 0.25 -0.533301\n0.50 -0.036429\n0.75 0.418046\nName: 5702, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.039553229403921815, std values: 0.9389859647068214, min values: -2.928515832252388, max values: 3.047545592545638, median values: 0.0098084766237594, and quantile values: 0.25 -0.579127\n0.50 0.009808\n0.75 0.698050\nName: 5703, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.060722647169276014, std values: 0.8131125314288532, min values: -2.30886992196871, max values: 3.250922035035844, median values: 0.0824358186392439, and quantile values: 0.25 -0.500613\n0.50 0.082436\n0.75 0.594421\nName: 5704, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4312307103790883, std values: 0.9166912565503635, min values: -2.93129584560762, max values: 6.0, median values: -0.3646385495273309, and quantile values: 0.25 -1.041725\n0.50 -0.364639\n0.75 0.157894\nName: 5705, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.9599988506584304, std values: 1.1657218563630896, min values: -1.904503436565444, max values: 3.9905524164385566, median values: 0.8327830542491679, and quantile values: 0.25 0.078043\n0.50 0.832783\n0.75 1.897625\nName: 5706, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17403467648652193, std values: 0.783624254201079, min values: -2.579723791499676, max values: 4.0, median values: 0.1673074993106378, and quantile values: 0.25 -0.330818\n0.50 0.167307\n0.75 0.664978\nName: 5707, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11947753111100759, std values: 0.8627332565216773, min values: -2.0697574862023345, max values: 3.670892362631932, median values: 0.1646270610205062, and quantile values: 0.25 -0.514410\n0.50 0.164627\n0.75 0.757853\nName: 5708, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39067964387575244, std values: 0.9944446933567702, min values: -2.740813841730953, max values: 3.071284484560209, median values: 0.5881239000822145, and quantile values: 0.25 -0.017240\n0.50 0.588124\n0.75 1.027005\nName: 5709, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.017260255231108045, std values: 0.8067175962665775, min values: -2.102258330765142, max values: 5.0, median values: -0.0537707631109478, and quantile values: 0.25 -0.567844\n0.50 -0.053771\n0.75 0.470078\nName: 5710, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04456737282442146, std values: 0.9171992090471043, min values: -2.6652153608723106, max values: 5.0, median values: -0.0037815297271295, and quantile values: 0.25 -0.649056\n0.50 -0.003782\n0.75 0.604673\nName: 5711, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6184472315971473, std values: 0.7986073389683568, min values: -2.136604280590623, max values: 3.047545592545638, median values: -0.7433989711849874, and quantile values: 0.25 -1.238251\n0.50 -0.743399\n0.75 -0.105090\nName: 5712, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20521338393628552, std values: 0.8445216200544552, min values: -2.161181455793125, max values: 6.0, median values: 0.2226429769001029, and quantile values: 0.25 -0.402979\n0.50 0.222643\n0.75 0.858140\nName: 5713, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.021934528951802052, std values: 0.8229803133317745, min values: -2.5689076212724418, max values: 5.0, median values: -0.0457587627506083, and quantile values: 0.25 -0.550300\n0.50 -0.045759\n0.75 0.505199\nName: 5714, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25154421613436995, std values: 0.7768936279234379, min values: -2.6850842010492566, max values: 6.0, median values: -0.3600215392103585, and quantile values: 0.25 -0.788046\n0.50 -0.360022\n0.75 0.224412\nName: 5715, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.114466369194671, std values: 1.2117101989650552, min values: -2.919359491767569, max values: 5.0, median values: 0.0725980147859649, and quantile values: 0.25 -0.949921\n0.50 0.072598\n0.75 1.060541\nName: 5716, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2963595168451477, std values: 0.8455214018199304, min values: -2.074234153391332, max values: 5.0, median values: -0.3402570864007604, and quantile values: 0.25 -0.896323\n0.50 -0.340257\n0.75 0.217026\nName: 5717, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1473344582106923, std values: 0.8688502706276294, min values: -2.212004168819108, max values: 3.867701659180865, median values: -0.2640542976211145, and quantile values: 0.25 -0.810491\n0.50 -0.264054\n0.75 0.422282\nName: 5718, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06272258540367935, std values: 1.0749485868068445, min values: -2.769191083399913, max values: 3.438667023696733, median values: 0.0397496939359825, and quantile values: 0.25 -0.534499\n0.50 0.039750\n0.75 0.766543\nName: 5719, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07388890348484405, std values: 0.9390633273022874, min values: -2.684072796644972, max values: 6.0, median values: 0.1521057948818526, and quantile values: 0.25 -0.375669\n0.50 0.152106\n0.75 0.620664\nName: 5720, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13076924630361417, std values: 0.8480347951439002, min values: -2.57895707818966, max values: 6.0, median values: -0.0720776645687596, and quantile values: 0.25 -0.671174\n0.50 -0.072078\n0.75 0.425717\nName: 5721, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41730587494875365, std values: 0.846277013739557, min values: -2.076505579007744, max values: 3.1801075704642923, median values: 0.4418182175354885, and quantile values: 0.25 -0.217824\n0.50 0.441818\n0.75 1.113890\nName: 5722, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4597623261101587, std values: 1.4549787099618872, min values: -2.879968592907284, max values: 4.278004674434932, median values: 0.3887669304393323, and quantile values: 0.25 -0.473218\n0.50 0.388767\n0.75 1.370772\nName: 5723, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8564383591647916, std values: 0.9364263295433178, min values: -3.1175233493066874, max values: 2.98373867666567, median values: -1.0369066466456478, and quantile values: 0.25 -1.648058\n0.50 -1.036907\n0.75 -0.261916\nName: 5724, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12382979562503402, std values: 0.8809429817173566, min values: -2.860922438481449, max values: 3.598076523509904, median values: 0.1274380329690518, and quantile values: 0.25 -0.354829\n0.50 0.127438\n0.75 0.643348\nName: 5725, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2527220727274286, std values: 0.8309522476139868, min values: -2.095777247368972, max values: 3.667275230673496, median values: 0.2704473920404784, and quantile values: 0.25 -0.315452\n0.50 0.270447\n0.75 0.802281\nName: 5726, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.4611543923951578, std values: 1.5327300691209134, min values: -3.045947208515832, max values: 6.0, median values: -2.0340473177314244, and quantile values: 0.25 -2.367376\n0.50 -2.034047\n0.75 -1.651740\nName: 5727, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.009402881726222133, std values: 0.980446021574689, min values: -2.837386543755612, max values: 4.0, median values: 0.1391826080252672, and quantile values: 0.25 -0.493926\n0.50 0.139183\n0.75 0.645454\nName: 5728, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2715875424102783, std values: 0.9469865738968763, min values: -3.1070421433302986, max values: 3.2328207660681025, median values: 0.2497904066826162, and quantile values: 0.25 -0.288402\n0.50 0.249790\n0.75 0.904972\nName: 5729, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04387619644905587, std values: 0.8415787448992866, min values: -2.090851036172633, max values: 5.0, median values: -0.1142886128146716, and quantile values: 0.25 -0.653104\n0.50 -0.114289\n0.75 0.500440\nName: 5730, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4811300084281859, std values: 1.476525043419688, min values: -3.0484008792629496, max values: 5.0, median values: -0.3670885583173631, and quantile values: 0.25 -1.870020\n0.50 -0.367089\n0.75 0.704212\nName: 5731, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02972406689369755, std values: 0.7701653403553518, min values: -1.989074010495094, max values: 2.927842705812016, median values: -0.0274667473858306, and quantile values: 0.25 -0.474818\n0.50 -0.027467\n0.75 0.507295\nName: 5732, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3057196879957169, std values: 0.8482176443447809, min values: -2.6320986139293034, max values: 3.528773265847577, median values: -0.3408434415824297, and quantile values: 0.25 -0.822928\n0.50 -0.340843\n0.75 0.191276\nName: 5733, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07142011012707393, std values: 0.7684374902613339, min values: -1.95000464165448, max values: 5.0, median values: -0.0225492280402408, and quantile values: 0.25 -0.612860\n0.50 -0.022549\n0.75 0.433721\nName: 5734, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2505425723329536, std values: 0.869123860131428, min values: -2.442256129120324, max values: 6.0, median values: -0.3394401447894427, and quantile values: 0.25 -0.915309\n0.50 -0.339440\n0.75 0.347415\nName: 5735, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4796571515750374, std values: 1.1776562188068715, min values: -2.678061324225601, max values: 3.060952636712705, median values: -0.6390564633902911, and quantile values: 0.25 -1.396375\n0.50 -0.639056\n0.75 0.382089\nName: 5736, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2785837479886323, std values: 0.8167225230565456, min values: -3.002493140275396, max values: 5.0, median values: -0.380282879543946, and quantile values: 0.25 -0.890140\n0.50 -0.380283\n0.75 0.259214\nName: 5737, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19994902845278065, std values: 0.9039337660627991, min values: -2.101255482180127, max values: 3.216771431244405, median values: -0.3393659798785925, and quantile values: 0.25 -0.904392\n0.50 -0.339366\n0.75 0.396229\nName: 5738, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17372965929577416, std values: 0.9260624635926701, min values: -2.981718296512785, max values: 5.0, median values: -0.2455012018772998, and quantile values: 0.25 -0.841033\n0.50 -0.245501\n0.75 0.436561\nName: 5739, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2557291523434389, std values: 0.9144003162836039, min values: -2.855306289371099, max values: 6.0, median values: -0.3076616863137563, and quantile values: 0.25 -0.880442\n0.50 -0.307662\n0.75 0.319726\nName: 5740, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5127288878754123, std values: 1.096655664237949, min values: -3.101800431129944, max values: 6.0, median values: -0.5591970492153745, and quantile values: 0.25 -1.277736\n0.50 -0.559197\n0.75 0.267876\nName: 5741, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6195678594888133, std values: 0.9787295879780649, min values: -2.867984306888309, max values: 3.17157439250477, median values: -0.7347500050970589, and quantile values: 0.25 -1.399521\n0.50 -0.734750\n0.75 0.044826\nName: 5742, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02383815168917931, std values: 1.1156771977489828, min values: -2.7510671817729784, max values: 6.0, median values: 0.0877017717923252, and quantile values: 0.25 -0.477624\n0.50 0.087702\n0.75 0.769450\nName: 5743, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2624562974383773, std values: 0.7391108993525645, min values: -1.9718505000240385, max values: 2.7245896212082603, median values: -0.3121993377425303, and quantile values: 0.25 -0.800520\n0.50 -0.312199\n0.75 0.163790\nName: 5744, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.009469261373999246, std values: 0.838918852053587, min values: -2.7314147016889114, max values: 3.528773265847577, median values: -0.0571083549623777, and quantile values: 0.25 -0.603391\n0.50 -0.057108\n0.75 0.565957\nName: 5745, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34692629790321033, std values: 0.7984187673457165, min values: -2.041957069977206, max values: 2.848410408765616, median values: -0.4499650210385787, and quantile values: 0.25 -0.986440\n0.50 -0.449965\n0.75 0.204716\nName: 5746, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2593324673352719, std values: 0.7481800519768675, min values: -1.840615852497825, max values: 5.0, median values: 0.201370728851404, and quantile values: 0.25 -0.224867\n0.50 0.201371\n0.75 0.763047\nName: 5747, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5665152366053873, std values: 0.9454631551779167, min values: -2.589966702820638, max values: 6.0, median values: 0.6467524806678152, and quantile values: 0.25 -0.094545\n0.50 0.646752\n0.75 1.296677\nName: 5748, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2980727956964758, std values: 1.0088696933815393, min values: -2.841647375415054, max values: 3.306454397423372, median values: 0.4468284869061485, and quantile values: 0.25 -0.302140\n0.50 0.446828\n0.75 0.996952\nName: 5749, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.046953081384973526, std values: 0.8982374316288614, min values: -2.394318853657038, max values: 3.0838352979250487, median values: -0.077267106202305, and quantile values: 0.25 -0.600417\n0.50 -0.077267\n0.75 0.627153\nName: 5750, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39380812164075985, std values: 0.9058467429987653, min values: -2.7648443048846945, max values: 3.5581019918925243, median values: -0.5557228235130894, and quantile values: 0.25 -1.081808\n0.50 -0.555723\n0.75 0.220293\nName: 5751, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26651830378935953, std values: 0.8963321513701887, min values: -2.6685266729136536, max values: 6.0, median values: 0.2198092375426505, and quantile values: 0.25 -0.347890\n0.50 0.219809\n0.75 0.862846\nName: 5752, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35614523803730175, std values: 0.7752955682604334, min values: -2.62615829715511, max values: 4.0, median values: 0.405331283097666, and quantile values: 0.25 -0.133434\n0.50 0.405331\n0.75 0.888096\nName: 5753, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27247146302132524, std values: 0.9604199609568568, min values: -2.7542003929097176, max values: 5.0, median values: 0.3586408726472843, and quantile values: 0.25 -0.378870\n0.50 0.358641\n0.75 0.949245\nName: 5754, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2125992201581574, std values: 0.7398059150709072, min values: -2.919359491767569, max values: 6.0, median values: -0.2100860887717305, and quantile values: 0.25 -0.670933\n0.50 -0.210086\n0.75 0.221868\nName: 5755, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20599502087294017, std values: 0.8827024734414963, min values: -2.745904427753044, max values: 5.0, median values: -0.2265333287335923, and quantile values: 0.25 -0.854237\n0.50 -0.226533\n0.75 0.412877\nName: 5756, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2893952904116107, std values: 0.9442855797616914, min values: -2.7648443048846945, max values: 3.0838352979250487, median values: 0.3122740475893084, and quantile values: 0.25 -0.425506\n0.50 0.312274\n0.75 1.061933\nName: 5757, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2202635400068713, std values: 0.970087191158908, min values: -2.632854336056873, max values: 3.784832159836258, median values: -0.2640072760027769, and quantile values: 0.25 -1.012004\n0.50 -0.264007\n0.75 0.488354\nName: 5758, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37277179969762203, std values: 0.9958514344859133, min values: -2.634919142586459, max values: 6.0, median values: -0.4249631383787717, and quantile values: 0.25 -1.049910\n0.50 -0.424963\n0.75 0.242141\nName: 5759, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9266924214603498, std values: 1.7204591474321926, min values: -2.9109251266226006, max values: 3.528773265847577, median values: -1.8006095214796092, and quantile values: 0.25 -2.285717\n0.50 -1.800610\n0.75 0.315845\nName: 5760, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3690411750020748, std values: 0.7221780936917715, min values: -2.4176069991382847, max values: 6.0, median values: 0.4026420076744446, and quantile values: 0.25 -0.068019\n0.50 0.402642\n0.75 0.845434\nName: 5761, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3990619219957234, std values: 1.0580076086648418, min values: -3.0484008792629496, max values: 5.0, median values: -0.4561291945561049, and quantile values: 0.25 -1.146329\n0.50 -0.456129\n0.75 0.313240\nName: 5762, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3220968556393704, std values: 0.8663748708541813, min values: -2.157583502182305, max values: 3.0, median values: -0.4312108085437379, and quantile values: 0.25 -0.951581\n0.50 -0.431211\n0.75 0.190024\nName: 5763, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18680287715510302, std values: 0.8038410844806397, min values: -2.07528248991344, max values: 3.0148736195915853, median values: -0.2792846728059676, and quantile values: 0.25 -0.746234\n0.50 -0.279285\n0.75 0.333349\nName: 5764, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19985665848135373, std values: 0.8869460910190504, min values: -2.2111861409199243, max values: 3.379902545505621, median values: 0.1008061902911909, and quantile values: 0.25 -0.450117\n0.50 0.100806\n0.75 0.778270\nName: 5765, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04322325974885351, std values: 0.995667031936232, min values: -2.841647375415054, max values: 5.0, median values: -0.0666117476688455, and quantile values: 0.25 -0.698120\n0.50 -0.066612\n0.75 0.649937\nName: 5766, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2897115831082126, std values: 1.4087727368552703, min values: -2.9029979285382743, max values: 3.569037956734876, median values: -0.1736224821588646, and quantile values: 0.25 -1.708027\n0.50 -0.173622\n0.75 0.878334\nName: 5767, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03627737819949142, std values: 0.9212100674257014, min values: -2.497627580948261, max values: 3.5021977227593246, median values: 0.0283415645973152, and quantile values: 0.25 -0.586586\n0.50 0.028342\n0.75 0.571207\nName: 5768, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6526844774879212, std values: 0.8471447414051592, min values: -2.5825978442440407, max values: 6.0, median values: 0.6704451462191263, and quantile values: 0.25 0.150814\n0.50 0.670445\n0.75 1.182560\nName: 5769, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13799281407440242, std values: 0.7799215304502907, min values: -2.0288440059072874, max values: 5.0, median values: -0.19134814606285, and quantile values: 0.25 -0.657029\n0.50 -0.191348\n0.75 0.328221\nName: 5770, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12497908682685993, std values: 0.8342772216445682, min values: -2.196708653609315, max values: 6.0, median values: 0.0505757581322623, and quantile values: 0.25 -0.480116\n0.50 0.050576\n0.75 0.710082\nName: 5771, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36145869098133304, std values: 0.805680241802463, min values: -2.710223074556336, max values: 4.0, median values: -0.4230812987006646, and quantile values: 0.25 -0.917935\n0.50 -0.423081\n0.75 0.100925\nName: 5772, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17522644795845915, std values: 0.9506080228856386, min values: -2.730840794324401, max values: 3.0, median values: 0.2690520285351777, and quantile values: 0.25 -0.505521\n0.50 0.269052\n0.75 0.927813\nName: 5773, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10216547473629742, std values: 0.8473728060274613, min values: -2.17506428519732, max values: 3.169414082461771, median values: 0.0222182620743181, and quantile values: 0.25 -0.537146\n0.50 0.022218\n0.75 0.678367\nName: 5774, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14595014531471484, std values: 0.8747134304277796, min values: -2.8164291268114208, max values: 4.0, median values: -0.2438452223024182, and quantile values: 0.25 -0.823279\n0.50 -0.243845\n0.75 0.483716\nName: 5775, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12264732057331132, std values: 0.8726320759747022, min values: -1.9587474123989488, max values: 5.0, median values: 0.0215090574388836, and quantile values: 0.25 -0.538347\n0.50 0.021509\n0.75 0.662232\nName: 5776, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37937920814276893, std values: 0.9030010526527674, min values: -2.5689076212724418, max values: 5.0, median values: -0.4790019493338175, and quantile values: 0.25 -1.092907\n0.50 -0.479002\n0.75 0.213156\nName: 5777, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25701600356327164, std values: 1.0084467951520373, min values: -2.9029979285382743, max values: 6.0, median values: -0.2135183182100537, and quantile values: 0.25 -0.874081\n0.50 -0.213518\n0.75 0.410898\nName: 5778, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30838107751381405, std values: 0.8408144266375911, min values: -2.222049826555007, max values: 3.155379154255993, median values: 0.3606680443852152, and quantile values: 0.25 -0.244343\n0.50 0.360668\n0.75 0.835945\nName: 5779, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6942168860946426, std values: 1.0854193735140107, min values: -2.7825548156447035, max values: 6.0, median values: -0.8088710527296938, and quantile values: 0.25 -1.527228\n0.50 -0.808871\n0.75 0.068792\nName: 5780, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1244755353637838, std values: 1.020859839224931, min values: -2.8164291268114208, max values: 4.0, median values: 0.293516140398847, and quantile values: 0.25 -0.453106\n0.50 0.293516\n0.75 0.865113\nName: 5781, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.028015547582251953, std values: 1.0733788062068168, min values: -2.730840794324401, max values: 3.224152805256112, median values: -0.0077521951107434, and quantile values: 0.25 -0.809903\n0.50 -0.007752\n0.75 0.890405\nName: 5782, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38015815456596286, std values: 0.8573199964785909, min values: -2.9898739724800576, max values: 3.247416277295021, median values: -0.5013450240729538, and quantile values: 0.25 -1.060482\n0.50 -0.501345\n0.75 0.186666\nName: 5783, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20611127803278237, std values: 1.073050427613582, min values: -2.7428415536925543, max values: 5.0, median values: 0.3227998232847218, and quantile values: 0.25 -0.582698\n0.50 0.322800\n0.75 1.027615\nName: 5784, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2797802633385076, std values: 0.9588645397815059, min values: -2.0490968263769656, max values: 4.0, median values: 0.2459602153453128, and quantile values: 0.25 -0.376437\n0.50 0.245960\n0.75 0.823588\nName: 5785, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23917867001936308, std values: 1.0100997049683382, min values: -2.5122218748354936, max values: 4.243835016543704, median values: -0.4126360607469175, and quantile values: 0.25 -0.982839\n0.50 -0.412636\n0.75 0.428191\nName: 5786, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29598719067930257, std values: 0.7659559497034786, min values: -2.1548749249906303, max values: 5.0, median values: 0.3203493198667957, and quantile values: 0.25 -0.179110\n0.50 0.320349\n0.75 0.772058\nName: 5787, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2075286395165805, std values: 0.9734943749318631, min values: -2.7257183488872623, max values: 5.0, median values: 0.1698470799607271, and quantile values: 0.25 -0.532317\n0.50 0.169847\n0.75 0.896914\nName: 5788, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2789312808649018, std values: 0.8323622377521993, min values: -2.537573835824454, max values: 6.0, median values: 0.2657371356896055, and quantile values: 0.25 -0.271676\n0.50 0.265737\n0.75 0.812297\nName: 5789, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2308115058162261, std values: 0.9713800218094163, min values: -2.0884920198234647, max values: 3.390469008396469, median values: -0.3358249736671291, and quantile values: 0.25 -0.996952\n0.50 -0.335825\n0.75 0.448411\nName: 5790, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07440645965977771, std values: 0.9245935128772872, min values: -2.607565022042742, max values: 4.0, median values: 0.0519349424923892, and quantile values: 0.25 -0.687687\n0.50 0.051935\n0.75 0.573812\nName: 5791, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10863336213971425, std values: 0.7142998715325216, min values: -1.9767664272080896, max values: 4.0, median values: -0.1421672198361932, and quantile values: 0.25 -0.569344\n0.50 -0.142167\n0.75 0.304194\nName: 5792, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.9145657328729827, std values: 1.0895411149847798, min values: -2.6668673616981367, max values: 4.026668017837955, median values: 0.8429562518465253, and quantile values: 0.25 0.215018\n0.50 0.842956\n0.75 1.606455\nName: 5793, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21732420443353093, std values: 0.8546129115004082, min values: -2.724017888297919, max values: 3.169414082461771, median values: 0.3156130928460945, and quantile values: 0.25 -0.305036\n0.50 0.315613\n0.75 0.814959\nName: 5794, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3247979280621376, std values: 0.7809359943699101, min values: -2.539310178205462, max values: 5.0, median values: -0.2983786336079149, and quantile values: 0.25 -0.881782\n0.50 -0.298379\n0.75 0.216740\nName: 5795, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6641388583762274, std values: 0.8176059242450874, min values: -2.2915911556076085, max values: 3.1166497049712243, median values: 0.7568635625693027, and quantile values: 0.25 0.115094\n0.50 0.756864\n0.75 1.298212\nName: 5796, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24307973563874677, std values: 0.9241623194223003, min values: -2.4536054974529624, max values: 6.0, median values: 0.2178110214586022, and quantile values: 0.25 -0.371744\n0.50 0.217811\n0.75 0.826847\nName: 5797, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5026142274279572, std values: 0.9238240653987692, min values: -2.300042081328127, max values: 4.0, median values: -0.6220402456602093, and quantile values: 0.25 -1.255386\n0.50 -0.622040\n0.75 0.115665\nName: 5798, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4518922265955419, std values: 0.9305550246368979, min values: -2.5743883495350026, max values: 5.0, median values: -0.554233859420311, and quantile values: 0.25 -1.090805\n0.50 -0.554234\n0.75 0.105701\nName: 5799, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.010792122042836545, std values: 0.963629862478551, min values: -2.5743883495350026, max values: 5.0, median values: -0.0741210261671651, and quantile values: 0.25 -0.606293\n0.50 -0.074121\n0.75 0.629056\nName: 5800, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07916251308212859, std values: 0.8247539512968318, min values: -3.074005993202373, max values: 3.477886732511886, median values: -0.1051734352316502, and quantile values: 0.25 -0.655898\n0.50 -0.105173\n0.75 0.470878\nName: 5801, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.156073500465318, std values: 0.7765632683691476, min values: -2.374446373878101, max values: 4.0, median values: -0.228850855514817, and quantile values: 0.25 -0.711536\n0.50 -0.228851\n0.75 0.338465\nName: 5802, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17651982115306353, std values: 0.9097856088214359, min values: -2.8680719719444903, max values: 3.071284484560209, median values: 0.275506895008243, and quantile values: 0.25 -0.422642\n0.50 0.275507\n0.75 0.849615\nName: 5803, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08591087561191904, std values: 0.7375288689708235, min values: -2.0942940418967018, max values: 6.0, median values: -0.1667210513794133, and quantile values: 0.25 -0.566179\n0.50 -0.166721\n0.75 0.352011\nName: 5804, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03165718497914039, std values: 0.9153515800516325, min values: -2.4902145713898545, max values: 3.319774799707247, median values: -0.0021756074479493, and quantile values: 0.25 -0.570795\n0.50 -0.002176\n0.75 0.582708\nName: 5805, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3230579597213636, std values: 0.835788398339757, min values: -2.556631690482005, max values: 3.0, median values: -0.3134157606638225, and quantile values: 0.25 -0.846637\n0.50 -0.313416\n0.75 0.167785\nName: 5806, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30093862248815567, std values: 0.8212680385288456, min values: -2.0763692711860644, max values: 3.1801075704642923, median values: 0.3631979311796943, and quantile values: 0.25 -0.302210\n0.50 0.363198\n0.75 0.900214\nName: 5807, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4811387708357872, std values: 0.8389206818207763, min values: -2.1397062966590785, max values: 5.0, median values: -0.6051354649640314, and quantile values: 0.25 -1.126786\n0.50 -0.605135\n0.75 0.051854\nName: 5808, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4614267728454899, std values: 0.8254683658997348, min values: -2.618746139350171, max values: 3.709787027503053, median values: 0.5284562951216794, and quantile values: 0.25 -0.068736\n0.50 0.528456\n0.75 1.006825\nName: 5809, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08908115453241255, std values: 0.79617132127865, min values: -2.2065783767301927, max values: 6.0, median values: -0.0560667703971561, and quantile values: 0.25 -0.672281\n0.50 -0.056067\n0.75 0.472597\nName: 5810, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0419310860635967, std values: 0.9076421807937097, min values: -2.8246479422601736, max values: 6.0, median values: 0.1363671405168403, and quantile values: 0.25 -0.505521\n0.50 0.136367\n0.75 0.621388\nName: 5811, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7006071050535776, std values: 0.8931631619250187, min values: -2.8843374390620142, max values: 6.0, median values: 0.7365615061086599, and quantile values: 0.25 0.180252\n0.50 0.736562\n0.75 1.276062\nName: 5812, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03346824655939292, std values: 0.8672888331889496, min values: -2.159847940654977, max values: 3.224152805256112, median values: -0.0337971701501494, and quantile values: 0.25 -0.621355\n0.50 -0.033797\n0.75 0.510927\nName: 5813, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22483577656898893, std values: 0.8320294837126808, min values: -2.021565395333485, max values: 3.124705982383484, median values: 0.2612322289944711, and quantile values: 0.25 -0.338798\n0.50 0.261232\n0.75 0.759763\nName: 5814, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23979399423808948, std values: 0.9019388217482227, min values: -2.558791007225312, max values: 3.0, median values: 0.3032785747379256, and quantile values: 0.25 -0.360756\n0.50 0.303279\n0.75 0.906684\nName: 5815, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16436576557590024, std values: 1.0724154760810687, min values: -2.657870006553045, max values: 3.082096909284949, median values: 0.1188913194975994, and quantile values: 0.25 -0.648006\n0.50 0.118891\n0.75 0.961301\nName: 5816, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47720205632283375, std values: 0.8407848904065093, min values: -2.163837561516034, max values: 3.5021977227593246, median values: 0.5891059116500139, and quantile values: 0.25 -0.088213\n0.50 0.589106\n0.75 1.072688\nName: 5817, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16849867617829317, std values: 0.8953080933272779, min values: -2.4536054974529624, max values: 6.0, median values: -0.2480328540331236, and quantile values: 0.25 -0.860171\n0.50 -0.248033\n0.75 0.415397\nName: 5818, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0328200958403225, std values: 1.0295013856791866, min values: -2.9265160609644223, max values: 6.0, median values: -0.0361118866134014, and quantile values: 0.25 -0.647966\n0.50 -0.036112\n0.75 0.722100\nName: 5819, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5790087784048779, std values: 0.9105474430700276, min values: -1.92219352969694, max values: 3.721862465295849, median values: 0.6047813960004657, and quantile values: 0.25 -0.084840\n0.50 0.604781\n0.75 1.275067\nName: 5820, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18611807666496716, std values: 0.7799528365443784, min values: -2.687115288423959, max values: 5.0, median values: 0.1898333984171374, and quantile values: 0.25 -0.326719\n0.50 0.189833\n0.75 0.694520\nName: 5821, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33213696548571925, std values: 0.8813889232905693, min values: -2.6652153608723106, max values: 3.2266531185902125, median values: -0.4120673675673776, and quantile values: 0.25 -0.988210\n0.50 -0.412067\n0.75 0.247060\nName: 5822, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.46432386647723495, std values: 1.156297042042386, min values: -2.801183634509044, max values: 5.0, median values: 0.6845850541821097, and quantile values: 0.25 -0.130072\n0.50 0.684585\n0.75 1.337177\nName: 5823, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3210273590534279, std values: 1.0015472353954271, min values: -2.7428415536925543, max values: 5.0, median values: 0.3109273449187293, and quantile values: 0.25 -0.317698\n0.50 0.310927\n0.75 0.995099\nName: 5824, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45632886392091715, std values: 0.8814353261809609, min values: -2.838932175687192, max values: 4.0, median values: -0.5967699862761058, and quantile values: 0.25 -1.089734\n0.50 -0.596770\n0.75 0.038628\nName: 5825, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3040044345574167, std values: 0.8125489886836188, min values: -2.2038853164231766, max values: 3.518664430018096, median values: 0.2716014892371544, and quantile values: 0.25 -0.201567\n0.50 0.271601\n0.75 0.798145\nName: 5826, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3005186854747386, std values: 0.9301411728807787, min values: -2.673549169958716, max values: 6.0, median values: -0.2859756721240289, and quantile values: 0.25 -0.880889\n0.50 -0.285976\n0.75 0.267533\nName: 5827, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09144133080033917, std values: 1.1097791426087364, min values: -2.778044916685896, max values: 3.3337116327022187, median values: 0.0898161535945322, and quantile values: 0.25 -0.731975\n0.50 0.089816\n0.75 0.686062\nName: 5828, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10855982743447583, std values: 0.833017021557749, min values: -2.541693081833126, max values: 3.163266084685921, median values: 0.0641003115608172, and quantile values: 0.25 -0.437003\n0.50 0.064100\n0.75 0.662198\nName: 5829, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11315276860797599, std values: 0.8933261377555061, min values: -1.962949199367437, max values: 5.0, median values: 0.0550962577286725, and quantile values: 0.25 -0.589827\n0.50 0.055096\n0.75 0.781368\nName: 5830, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.449048198199132, std values: 0.9930975148190064, min values: -3.0390690173369013, max values: 2.985133931273498, median values: -0.6089581355127405, and quantile values: 0.25 -1.277843\n0.50 -0.608958\n0.75 0.269505\nName: 5831, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07350765189491686, std values: 1.213385937458239, min values: -2.601639132009086, max values: 6.0, median values: -0.0523210170667171, and quantile values: 0.25 -0.957792\n0.50 -0.052321\n0.75 0.976493\nName: 5832, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44491089464204625, std values: 0.8523064974139588, min values: -2.245752867605861, max values: 2.9534763778843827, median values: -0.6013513015856528, and quantile values: 0.25 -1.067661\n0.50 -0.601351\n0.75 0.058742\nName: 5833, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.020757430789211707, std values: 0.9876972664228959, min values: -2.040629887786797, max values: 5.0, median values: -0.1302704604782502, and quantile values: 0.25 -0.821404\n0.50 -0.130270\n0.75 0.688210\nName: 5834, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40775067596604997, std values: 0.9815626731604054, min values: -2.3910093027589245, max values: 3.9048392686725855, median values: -0.509769038033038, and quantile values: 0.25 -1.183787\n0.50 -0.509769\n0.75 0.246500\nName: 5835, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21851589567759874, std values: 0.9749848057127892, min values: -2.56026492390943, max values: 4.0, median values: -0.3250799087177204, and quantile values: 0.25 -0.950326\n0.50 -0.325080\n0.75 0.441479\nName: 5836, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2921925383880834, std values: 0.8993167031610023, min values: -2.8246479422601736, max values: 5.0, median values: 0.3419958771137362, and quantile values: 0.25 -0.150312\n0.50 0.341996\n0.75 0.829712\nName: 5837, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3139720496141636, std values: 0.8609773511992111, min values: -2.3808324358856225, max values: 3.071284484560209, median values: -0.4156746692923107, and quantile values: 0.25 -0.958054\n0.50 -0.415675\n0.75 0.267706\nName: 5838, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19555273339059517, std values: 0.8117297445308471, min values: -2.58513369695146, max values: 4.0, median values: 0.2483736635203801, and quantile values: 0.25 -0.208926\n0.50 0.248374\n0.75 0.707271\nName: 5839, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33822836918196186, std values: 0.8657537777806975, min values: -3.2266531185902174, max values: 3.8226908388056136, median values: -0.294727172040604, and quantile values: 0.25 -0.982705\n0.50 -0.294727\n0.75 0.214534\nName: 5840, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12958456535279006, std values: 0.8132205458704332, min values: -2.240740315114864, max values: 4.0, median values: 0.0892908042534093, and quantile values: 0.25 -0.364845\n0.50 0.089291\n0.75 0.601125\nName: 5841, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21804429127833178, std values: 1.009185803663869, min values: -2.264034258932616, max values: 3.477886732511886, median values: -0.3785402170535483, and quantile values: 0.25 -0.961765\n0.50 -0.378540\n0.75 0.386656\nName: 5842, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28005928945165837, std values: 0.8876657435342792, min values: -2.788272971802125, max values: 6.0, median values: -0.2378843314341293, and quantile values: 0.25 -0.881132\n0.50 -0.237884\n0.75 0.266165\nName: 5843, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.00043305399899879924, std values: 0.7699467737249246, min values: -2.4657737907743, max values: 3.3636961113187773, median values: -0.0501024687544013, and quantile values: 0.25 -0.511928\n0.50 -0.050102\n0.75 0.463210\nName: 5844, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.025558646123244894, std values: 0.8246937656152664, min values: -2.1154918763173005, max values: 3.0, median values: -0.0087921489348988, and quantile values: 0.25 -0.547578\n0.50 -0.008792\n0.75 0.536414\nName: 5845, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4922181016043066, std values: 1.0165128519090114, min values: -2.0533907262983035, max values: 6.0, median values: 0.4935222889768241, and quantile values: 0.25 -0.267763\n0.50 0.493522\n0.75 1.329702\nName: 5846, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3680054515587989, std values: 1.1627082343291795, min values: -2.739804196611005, max values: 6.0, median values: -0.2926543799855535, and quantile values: 0.25 -1.101480\n0.50 -0.292654\n0.75 0.457811\nName: 5847, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22458959588665925, std values: 0.8394098639902324, min values: -2.374446373878101, max values: 4.0, median values: 0.1788249569654501, and quantile values: 0.25 -0.409401\n0.50 0.178825\n0.75 0.824189\nName: 5848, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3609177007180342, std values: 0.9441926485367997, min values: -2.7871422803648627, max values: 2.885854600688925, median values: -0.4819198207652074, and quantile values: 0.25 -1.033192\n0.50 -0.481920\n0.75 0.291188\nName: 5849, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12125875766717696, std values: 0.9722046113644912, min values: -2.5743883495350026, max values: 5.0, median values: 0.233744322743015, and quantile values: 0.25 -0.467189\n0.50 0.233744\n0.75 0.820114\nName: 5850, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05349837365606654, std values: 0.8278021878424782, min values: -3.1386665508340674, max values: 4.243835016543704, median values: 0.0468607326713701, and quantile values: 0.25 -0.511206\n0.50 0.046861\n0.75 0.584200\nName: 5851, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0483957564738326, std values: 1.4519526285641473, min values: -2.6270253558526173, max values: 4.0, median values: -0.208008619855941, and quantile values: 0.25 -1.181277\n0.50 -0.208009\n0.75 1.136817\nName: 5852, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07109061128136891, std values: 0.7494934932788726, min values: -2.536941606705235, max values: 4.0, median values: -0.0811316340293172, and quantile values: 0.25 -0.593638\n0.50 -0.081132\n0.75 0.405032\nName: 5853, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24466377799305028, std values: 0.88721929972322, min values: -2.620939317041317, max values: 4.0, median values: 0.3305849295978501, and quantile values: 0.25 -0.390934\n0.50 0.330585\n0.75 0.874428\nName: 5854, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.019744873017661393, std values: 0.8805224963164563, min values: -2.212004168819108, max values: 3.0, median values: 0.0632407938489528, and quantile values: 0.25 -0.645895\n0.50 0.063241\n0.75 0.697769\nName: 5855, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3601257314595991, std values: 0.8786443129037647, min values: -2.3333312203517527, max values: 3.0, median values: 0.3968855680267475, and quantile values: 0.25 -0.261683\n0.50 0.396886\n0.75 1.020857\nName: 5856, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.035023879952834264, std values: 1.2318319060501135, min values: -2.7211321814067784, max values: 3.2906806286429298, median values: 0.2985058778190363, and quantile values: 0.25 -0.706684\n0.50 0.298506\n0.75 0.972011\nName: 5857, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32205874902158815, std values: 0.8361553369984781, min values: -2.525881048269423, max values: 3.4217036547572275, median values: -0.3173213481759859, and quantile values: 0.25 -0.930870\n0.50 -0.317321\n0.75 0.178965\nName: 5858, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5713541411672319, std values: 0.9964381774298953, min values: -2.9898739724800576, max values: 3.169414082461771, median values: -0.6858529801949627, and quantile values: 0.25 -1.365985\n0.50 -0.685853\n0.75 0.129743\nName: 5859, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3724305932168108, std values: 0.8830477889019884, min values: -2.9898739724800576, max values: 3.2696814875916886, median values: -0.4217117875983669, and quantile values: 0.25 -1.116442\n0.50 -0.421712\n0.75 0.258871\nName: 5860, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29142385418642314, std values: 1.0467774758103008, min values: -1.9878808093069176, max values: 3.349054967837474, median values: 0.333138700337846, and quantile values: 0.25 -0.552512\n0.50 0.333139\n0.75 1.133462\nName: 5861, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13281419756079682, std values: 0.9648296841305971, min values: -2.64479559868397, max values: 6.0, median values: -0.1486871209719151, and quantile values: 0.25 -0.776184\n0.50 -0.148687\n0.75 0.522270\nName: 5862, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4401636761554378, std values: 1.1379980998961485, min values: -2.64479559868397, max values: 6.0, median values: 0.3513072944800609, and quantile values: 0.25 -0.438043\n0.50 0.351307\n0.75 1.306601\nName: 5863, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5377686273469924, std values: 1.4908906508117574, min values: -3.24173864501462, max values: 3.306454397423372, median values: -0.4779419167951554, and quantile values: 0.25 -1.888434\n0.50 -0.477942\n0.75 0.862326\nName: 5864, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06207230452671988, std values: 0.8773643109400054, min values: -2.5624611946462936, max values: 5.0, median values: -0.0934113218530971, and quantile values: 0.25 -0.576346\n0.50 -0.093411\n0.75 0.476084\nName: 5865, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1892515907260087, std values: 0.9223743172898284, min values: -1.9855128425469304, max values: 5.0, median values: 0.2537668965270629, and quantile values: 0.25 -0.514787\n0.50 0.253767\n0.75 0.888014\nName: 5866, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29547899041224646, std values: 1.0191669317217773, min values: -2.122310313835986, max values: 3.0133870328644305, median values: -0.3959612741814617, and quantile values: 0.25 -1.116249\n0.50 -0.395961\n0.75 0.397570\nName: 5867, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10242127280690433, std values: 0.9426135827391383, min values: -2.0195598136714588, max values: 3.496479817235339, median values: 0.0875119687864841, and quantile values: 0.25 -0.640182\n0.50 0.087512\n0.75 0.765214\nName: 5868, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2617038987932161, std values: 0.8735763203822702, min values: -2.525362520654854, max values: 5.0, median values: -0.3654627799073328, and quantile values: 0.25 -0.852780\n0.50 -0.365463\n0.75 0.215477\nName: 5869, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2666772367228456, std values: 0.8456621747865766, min values: -2.58513369695146, max values: 4.0, median values: -0.245111499220878, and quantile values: 0.25 -0.835047\n0.50 -0.245111\n0.75 0.280391\nName: 5870, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26843357576100546, std values: 1.2354210463881146, min values: -2.9622221028070275, max values: 4.0, median values: -0.0303277176780476, and quantile values: 0.25 -1.144973\n0.50 -0.030328\n0.75 0.579144\nName: 5871, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3342785931829112, std values: 0.872018480256222, min values: -2.620939317041317, max values: 4.0, median values: 0.4202055360002179, and quantile values: 0.25 -0.147455\n0.50 0.420206\n0.75 0.909294\nName: 5872, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6685442104020571, std values: 1.0272652716567048, min values: -2.58513369695146, max values: 3.17157439250477, median values: 0.7169022557418899, and quantile values: 0.25 -0.095403\n0.50 0.716902\n0.75 1.401380\nName: 5873, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10850860068607596, std values: 0.8518716098685437, min values: -1.9604341550668736, max values: 3.3760121766849016, median values: 0.158157220910003, and quantile values: 0.25 -0.521025\n0.50 0.158157\n0.75 0.684209\nName: 5874, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19593757946806756, std values: 1.0269121229555997, min values: -2.6635706018350787, max values: 4.278004674434932, median values: -0.2534984188594028, and quantile values: 0.25 -0.779315\n0.50 -0.253498\n0.75 0.494518\nName: 5875, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20038598310197028, std values: 0.8965559455407249, min values: -2.5859127503381347, max values: 3.0, median values: 0.2468686387000192, and quantile values: 0.25 -0.355786\n0.50 0.246869\n0.75 0.866648\nName: 5876, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.008836170939484913, std values: 0.9528175507570542, min values: -2.3922473154067863, max values: 5.0, median values: -0.001624820185413, and quantile values: 0.25 -0.750534\n0.50 -0.001625\n0.75 0.705694\nName: 5877, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3613982426919258, std values: 1.1072429139810995, min values: -2.2389479100077128, max values: 4.0, median values: -0.5052209639784994, and quantile values: 0.25 -1.281917\n0.50 -0.505221\n0.75 0.330716\nName: 5878, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2732399036985836, std values: 0.9618645826007379, min values: -2.634919142586459, max values: 6.0, median values: 0.3736007386472104, and quantile values: 0.25 -0.263053\n0.50 0.373601\n0.75 0.878001\nName: 5879, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21897015626997113, std values: 0.9581628491639745, min values: -2.919359491767569, max values: 5.0, median values: 0.3031328534417511, and quantile values: 0.25 -0.324077\n0.50 0.303133\n0.75 0.854918\nName: 5880, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42270156632632633, std values: 0.8624487944970755, min values: -2.4960309093026924, max values: 3.0, median values: -0.5756925359173181, and quantile values: 0.25 -1.078843\n0.50 -0.575693\n0.75 0.122710\nName: 5881, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1651758273445702, std values: 0.9371807194444133, min values: -2.133376301904917, max values: 4.0, median values: 0.1192105790814965, and quantile values: 0.25 -0.517398\n0.50 0.119211\n0.75 0.798730\nName: 5882, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13566799838464014, std values: 0.7992698435784966, min values: -2.1238235090034925, max values: 6.0, median values: 0.1768528444558331, and quantile values: 0.25 -0.405210\n0.50 0.176853\n0.75 0.675251\nName: 5883, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2692039960417293, std values: 1.1809587919486066, min values: -2.769191083399913, max values: 3.569037956734876, median values: -0.3147159042295032, and quantile values: 0.25 -0.899081\n0.50 -0.314716\n0.75 0.442815\nName: 5884, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.058665777759624005, std values: 0.7755702416315352, min values: -2.8889090019311845, max values: 5.0, median values: 0.0328878674817807, and quantile values: 0.25 -0.460595\n0.50 0.032888\n0.75 0.546452\nName: 5885, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40715489812102085, std values: 0.9758384697958262, min values: -2.6023368942328267, max values: 3.32433157891547, median values: 0.494642410220445, and quantile values: 0.25 -0.131993\n0.50 0.494642\n0.75 1.052982\nName: 5886, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39495051226152633, std values: 0.8561214691868214, min values: -2.475778245535816, max values: 3.0, median values: -0.5110613273510595, and quantile values: 0.25 -1.092907\n0.50 -0.511061\n0.75 0.223511\nName: 5887, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18621558307295674, std values: 0.8803950532561304, min values: -2.944950884974346, max values: 3.349054967837474, median values: -0.2509590776152852, and quantile values: 0.25 -0.689925\n0.50 -0.250959\n0.75 0.348585\nName: 5888, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3686501845634011, std values: 0.8856401401884737, min values: -2.2065783767301927, max values: 6.0, median values: -0.4967854440243971, and quantile values: 0.25 -1.055536\n0.50 -0.496785\n0.75 0.200247\nName: 5889, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2720876616877784, std values: 0.8830725208332428, min values: -2.688157591415518, max values: 5.0, median values: 0.2912732173800643, and quantile values: 0.25 -0.365597\n0.50 0.291273\n0.75 0.922363\nName: 5890, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3164967337994479, std values: 0.7729221228074762, min values: -2.6117120822772133, max values: 5.0, median values: -0.3432490398648493, and quantile values: 0.25 -0.872559\n0.50 -0.343249\n0.75 0.150156\nName: 5891, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17199641483494157, std values: 0.9820885422340442, min values: -2.5682675825126706, max values: 5.0, median values: 0.142695801285619, and quantile values: 0.25 -0.425506\n0.50 0.142696\n0.75 0.843394\nName: 5892, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0253967974591831, std values: 1.100720781547371, min values: -2.643887016977268, max values: 6.0, median values: 0.0753234277122933, and quantile values: 0.25 -0.799120\n0.50 0.075323\n0.75 0.863765\nName: 5893, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14777906578996577, std values: 1.1032982862730727, min values: -2.486556664247513, max values: 3.9048392686725855, median values: -0.2447682175204157, and quantile values: 0.25 -0.996991\n0.50 -0.244768\n0.75 0.595415\nName: 5894, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15200350699940043, std values: 0.8511187105748157, min values: -2.085975048264995, max values: 5.0, median values: -0.2352729048131383, and quantile values: 0.25 -0.755134\n0.50 -0.235273\n0.75 0.353213\nName: 5895, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19399386530670953, std values: 0.9596894587880392, min values: -2.149743899676465, max values: 4.0, median values: 0.2695048639715563, and quantile values: 0.25 -0.540726\n0.50 0.269505\n0.75 0.972447\nName: 5896, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14672158952573, std values: 1.1876631113813756, min values: -2.855306289371099, max values: 6.0, median values: 0.1265774007440442, and quantile values: 0.25 -0.799641\n0.50 0.126577\n0.75 0.661918\nName: 5897, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3243638598557024, std values: 0.973453851015621, min values: -2.048198631046896, max values: 6.0, median values: 0.3305849295978501, and quantile values: 0.25 -0.414467\n0.50 0.330585\n0.75 1.114901\nName: 5898, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5024117248936606, std values: 0.8730361561863821, min values: -2.6635706018350787, max values: 3.434669824302974, median values: -0.5586175438043363, and quantile values: 0.25 -1.110414\n0.50 -0.558618\n0.75 0.033053\nName: 5899, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30136389511030665, std values: 0.7950149082776521, min values: -1.9906693637114885, max values: 4.0, median values: 0.3395913074354645, and quantile values: 0.25 -0.246045\n0.50 0.339591\n0.75 0.838816\nName: 5900, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24333672907021905, std values: 0.8672480348257003, min values: -2.90140378513671, max values: 3.569037956734876, median values: -0.3479406683396894, and quantile values: 0.25 -0.933588\n0.50 -0.347941\n0.75 0.365345\nName: 5901, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21056618830132925, std values: 0.8191092566303603, min values: -2.15085577507779, max values: 5.0, median values: 0.2376801218547201, and quantile values: 0.25 -0.344001\n0.50 0.237680\n0.75 0.751702\nName: 5902, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27736816070397835, std values: 1.0571922876159314, min values: -2.1238235090034925, max values: 5.0, median values: 0.1900725295333549, and quantile values: 0.25 -0.557019\n0.50 0.190073\n0.75 1.021016\nName: 5903, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07915801918038777, std values: 0.7518571151477695, min values: -2.011631448118009, max values: 3.1166497049712243, median values: 0.0680194385374327, and quantile values: 0.25 -0.415487\n0.50 0.068019\n0.75 0.538894\nName: 5904, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27130491810230417, std values: 1.1181712406080462, min values: -2.6466193392086392, max values: 4.0, median values: 0.2494530841139231, and quantile values: 0.25 -0.546863\n0.50 0.249453\n0.75 1.169043\nName: 5905, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33328546676103094, std values: 0.8651673776161282, min values: -2.476285024008804, max values: 3.250922035035844, median values: 0.2834104377630292, and quantile values: 0.25 -0.237666\n0.50 0.283410\n0.75 0.886422\nName: 5906, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06181658146607606, std values: 1.0188037025541097, min values: -2.6635706018350787, max values: 3.0, median values: 0.0584717238078084, and quantile values: 0.25 -0.744209\n0.50 0.058472\n0.75 0.687229\nName: 5907, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5413477868143571, std values: 0.8634843557942471, min values: -2.6466193392086392, max values: 4.0, median values: -0.6036183373985143, and quantile values: 0.25 -1.103707\n0.50 -0.603618\n0.75 -0.054386\nName: 5908, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2677693803512364, std values: 0.8070428302017129, min values: -1.960359390357887, max values: 5.0, median values: 0.3415699241935236, and quantile values: 0.25 -0.308703\n0.50 0.341570\n0.75 0.863808\nName: 5909, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1560424505827755, std values: 0.9164878991393438, min values: -2.3205777926277085, max values: 6.0, median values: 0.2483736635203801, and quantile values: 0.25 -0.453747\n0.50 0.248374\n0.75 0.821078\nName: 5910, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03727924394200793, std values: 1.0397989268022598, min values: -2.1103582417935702, max values: 5.0, median values: -0.0291407169835514, and quantile values: 0.25 -0.801692\n0.50 -0.029141\n0.75 0.772950\nName: 5911, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.539518052722206, std values: 1.0964065386240642, min values: -2.8451834694312192, max values: 3.2071942083719924, median values: 0.6970191751830993, and quantile values: 0.25 -0.209941\n0.50 0.697019\n0.75 1.388375\nName: 5912, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.287280223822604, std values: 1.1210841998140806, min values: -2.879968592907284, max values: 4.0, median values: -1.754894374872323, and quantile values: 0.25 -2.142044\n0.50 -1.754894\n0.75 -0.531111\nName: 5913, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44451697734195944, std values: 0.8450127166241661, min values: -3.4217036547572723, max values: 3.0651860794139534, median values: -0.447479821393607, and quantile values: 0.25 -1.054220\n0.50 -0.447480\n0.75 0.101546\nName: 5914, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.016340813625098843, std values: 1.1264713292307598, min values: -2.891990595045606, max values: 6.0, median values: 0.0231075399026536, and quantile values: 0.25 -0.741468\n0.50 0.023108\n0.75 0.742464\nName: 5915, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19213717030374097, std values: 0.9548107576970732, min values: -2.887007053971579, max values: 3.362228250221886, median values: 0.3255572069990325, and quantile values: 0.25 -0.233146\n0.50 0.325557\n0.75 0.781667\nName: 5916, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5293524969358897, std values: 1.0741265534345936, min values: -2.5879430435308, max values: 3.784832159836258, median values: 0.521842740262266, and quantile values: 0.25 -0.178965\n0.50 0.521843\n0.75 1.157020\nName: 5917, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21166718816699095, std values: 1.0218897337634356, min values: -2.140398613737501, max values: 3.3014869995452325, median values: -0.3691454190279875, and quantile values: 0.25 -1.022167\n0.50 -0.369145\n0.75 0.436535\nName: 5918, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08446019016210907, std values: 0.8421529119346373, min values: -2.7016525309724218, max values: 3.17157439250477, median values: 0.0626653877311098, and quantile values: 0.25 -0.445034\n0.50 0.062665\n0.75 0.634368\nName: 5919, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.177836159899861, std values: 0.7733734129174625, min values: -2.45229857681487, max values: 3.1290445144064547, median values: 0.2239063851662052, and quantile values: 0.25 -0.355002\n0.50 0.223906\n0.75 0.730860\nName: 5920, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11579998256471104, std values: 0.895244034609212, min values: -2.642042398333877, max values: 3.4217036547572275, median values: -0.0710814980668083, and quantile values: 0.25 -0.696838\n0.50 -0.071081\n0.75 0.501953\nName: 5921, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2790943221383098, std values: 0.8689623706295001, min values: -2.245752867605861, max values: 3.9905524164385566, median values: 0.2891039399760362, and quantile values: 0.25 -0.277395\n0.50 0.289104\n0.75 0.840092\nName: 5922, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01938704225964835, std values: 0.9635546190948769, min values: -2.5293911731823453, max values: 3.362228250221886, median values: 0.0833608047164905, and quantile values: 0.25 -0.557137\n0.50 0.083361\n0.75 0.617973\nName: 5923, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14027460692388483, std values: 0.8998163680923215, min values: -2.245752867605861, max values: 2.975781014280383, median values: 0.2153563173851529, and quantile values: 0.25 -0.523110\n0.50 0.215356\n0.75 0.797917\nName: 5924, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33229647875279694, std values: 1.0594375546796542, min values: -2.8327898928872086, max values: 4.0, median values: 0.2634555020089463, and quantile values: 0.25 -0.401388\n0.50 0.263456\n0.75 1.090248\nName: 5925, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4148134291443292, std values: 0.890844022444574, min values: -2.3051489257282016, max values: 5.0, median values: 0.4591090237037306, and quantile values: 0.25 -0.225479\n0.50 0.459109\n0.75 1.073697\nName: 5926, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0915947181956403, std values: 0.9402661043784852, min values: -3.2372475247926937, max values: 3.124705982383484, median values: 0.0454555150904895, and quantile values: 0.25 -0.510604\n0.50 0.045456\n0.75 0.717864\nName: 5927, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35462341921961194, std values: 1.2747320529937922, min values: -2.679056533720636, max values: 5.0, median values: -0.258602643830934, and quantile values: 0.25 -1.554574\n0.50 -0.258603\n0.75 0.590512\nName: 5928, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33170535003373636, std values: 1.0126843645629464, min values: -2.947062251106049, max values: 3.721862465295849, median values: 0.4114978235945204, and quantile values: 0.25 -0.200431\n0.50 0.411498\n0.75 1.016518\nName: 5929, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2224721572602935, std values: 0.811716847647559, min values: -2.222049826555007, max values: 3.280245386470253, median values: 0.23445761965591, and quantile values: 0.25 -0.294551\n0.50 0.234458\n0.75 0.706512\nName: 5930, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.015066330667836348, std values: 0.789166091279892, min values: -2.094787931821739, max values: 6.0, median values: -0.0626250786428369, and quantile values: 0.25 -0.523706\n0.50 -0.062625\n0.75 0.524222\nName: 5931, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19986891388078168, std values: 0.7672775230479604, min values: -2.6635706018350787, max values: 3.306454397423372, median values: -0.1903661858359715, and quantile values: 0.25 -0.727848\n0.50 -0.190366\n0.75 0.283933\nName: 5932, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3692023309391723, std values: 0.8240572048909719, min values: -2.9029979285382743, max values: 3.2936960268109283, median values: -0.3900417355965763, and quantile values: 0.25 -0.942096\n0.50 -0.390042\n0.75 0.083195\nName: 5933, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1741043784207652, std values: 1.2164309549627281, min values: -3.124705982383478, max values: 3.2701555622463814, median values: -0.1432884930832161, and quantile values: 0.25 -1.019663\n0.50 -0.143288\n0.75 0.583633\nName: 5934, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05507007694660446, std values: 0.90647359115082, min values: -2.521882829270847, max values: 4.0, median values: -0.0817244587654264, and quantile values: 0.25 -0.672192\n0.50 -0.081724\n0.75 0.553600\nName: 5935, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06977798999225401, std values: 0.7916044666743064, min values: -2.541693081833126, max values: 3.0, median values: 0.0520452487212045, and quantile values: 0.25 -0.452862\n0.50 0.052045\n0.75 0.574438\nName: 5936, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14532162480607927, std values: 0.7666557729920118, min values: -2.4536054974529624, max values: 6.0, median values: 0.1643479170386308, and quantile values: 0.25 -0.354591\n0.50 0.164348\n0.75 0.624968\nName: 5937, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42973474035075626, std values: 0.7546109381056691, min values: -2.128045234184984, max values: 6.0, median values: -0.5487303605188878, and quantile values: 0.25 -0.945662\n0.50 -0.548730\n0.75 -0.012393\nName: 5938, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8402204418807128, std values: 1.1505099139707267, min values: -3.066111439712689, max values: 3.4758930087721422, median values: 0.8853920150845721, and quantile values: 0.25 -0.023108\n0.50 0.885392\n0.75 1.791353\nName: 5939, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5809292213265401, std values: 0.857300060229379, min values: -2.891990595045606, max values: 6.0, median values: -0.7471071222621707, and quantile values: 0.25 -1.244918\n0.50 -0.747107\n0.75 -0.028287\nName: 5940, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01031149592493078, std values: 1.0048554712867417, min values: -2.4474188167314, max values: 3.247416277295021, median values: -0.0506230876914063, and quantile values: 0.25 -0.813843\n0.50 -0.050623\n0.75 0.749913\nName: 5941, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25896516837863687, std values: 0.8526329469238668, min values: -2.049546544677791, max values: 3.281452258958016, median values: -0.3515133590971143, and quantile values: 0.25 -0.942120\n0.50 -0.351513\n0.75 0.321640\nName: 5942, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2207786199562862, std values: 0.8685214297041834, min values: -2.1775880058603043, max values: 3.216771431244405, median values: 0.1423334230470194, and quantile values: 0.25 -0.344227\n0.50 0.142333\n0.75 0.792629\nName: 5943, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2325118395465983, std values: 1.0580334944977887, min values: -2.6685266729136536, max values: 6.0, median values: -0.1745731171116116, and quantile values: 0.25 -1.116222\n0.50 -0.174573\n0.75 0.516454\nName: 5944, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10403540338192467, std values: 0.8477366744276701, min values: -2.264034258932616, max values: 3.312693232344632, median values: 0.0963713259384857, and quantile values: 0.25 -0.456275\n0.50 0.096371\n0.75 0.544957\nName: 5945, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5691329794647935, std values: 1.136098289406301, min values: -2.732564679617164, max values: 3.390469008396469, median values: 0.537718711684728, and quantile values: 0.25 -0.307092\n0.50 0.537719\n0.75 1.574423\nName: 5946, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1589414219548054, std values: 0.9369645649643075, min values: -1.855194572259078, max values: 6.0, median values: 0.1210912311029386, and quantile values: 0.25 -0.610203\n0.50 0.121091\n0.75 0.832582\nName: 5947, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.040912818727816574, std values: 0.9981041501156908, min values: -2.842989614395848, max values: 5.0, median values: -0.108600936542542, and quantile values: 0.25 -0.704459\n0.50 -0.108601\n0.75 0.631139\nName: 5948, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1639046613234748, std values: 0.8178683528042099, min values: -2.264034258932616, max values: 3.667275230673496, median values: 0.2279463092610369, and quantile values: 0.25 -0.390843\n0.50 0.227946\n0.75 0.718087\nName: 5949, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21750138527113674, std values: 0.8733006471656405, min values: -2.128045234184984, max values: 6.0, median values: -0.265109549011727, and quantile values: 0.25 -0.942267\n0.50 -0.265110\n0.75 0.398216\nName: 5950, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33397271017354535, std values: 0.8645917331985273, min values: -2.0313235858347203, max values: 3.4758930087721422, median values: 0.4171696289319468, and quantile values: 0.25 -0.254719\n0.50 0.417170\n0.75 0.940552\nName: 5951, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09224687705550498, std values: 0.7627129393816203, min values: -2.3051489257282016, max values: 5.0, median values: -0.1606226952854102, and quantile values: 0.25 -0.604327\n0.50 -0.160623\n0.75 0.354980\nName: 5952, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3336671066263942, std values: 0.8737680723497313, min values: -2.837386543755612, max values: 4.0, median values: -0.3433743857600037, and quantile values: 0.25 -0.856759\n0.50 -0.343374\n0.75 0.159785\nName: 5953, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3198648605118171, std values: 0.8279526574487278, min values: -2.7428415536925543, max values: 3.3337116327022187, median values: 0.3454559175999916, and quantile values: 0.25 -0.249473\n0.50 0.345456\n0.75 0.870423\nName: 5954, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.363776123419934, std values: 1.0921552699009414, min values: -2.949186837165601, max values: 4.0, median values: -0.332064620307358, and quantile values: 0.25 -1.320583\n0.50 -0.332065\n0.75 0.443487\nName: 5955, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.025747828227338686, std values: 0.8558618568616617, min values: -2.45229857681487, max values: 3.0, median values: -0.1436705576484275, and quantile values: 0.25 -0.623561\n0.50 -0.143671\n0.75 0.491925\nName: 5956, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4343484486242227, std values: 0.9185136562281437, min values: -2.140943184359666, max values: 3.721862465295849, median values: -0.5682606382377063, and quantile values: 0.25 -1.118251\n0.50 -0.568261\n0.75 0.134827\nName: 5957, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27662524559971446, std values: 0.9648181673988881, min values: -2.7428415536925543, max values: 5.0, median values: -0.3600944293296817, and quantile values: 0.25 -0.962727\n0.50 -0.360094\n0.75 0.371441\nName: 5958, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35397799307396366, std values: 0.9211059486837307, min values: -2.6800544037614658, max values: 4.0, median values: -0.395752787305428, and quantile values: 0.25 -0.906217\n0.50 -0.395753\n0.75 0.212648\nName: 5959, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4420556481208966, std values: 0.9170645362996789, min values: -2.187565370125431, max values: 5.0, median values: -0.5827642015503591, and quantile values: 0.25 -1.161703\n0.50 -0.582764\n0.75 0.146489\nName: 5960, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.9033250948962167, std values: 1.020425218020219, min values: -2.5689076212724418, max values: 5.0, median values: 1.019504396292943, and quantile values: 0.25 0.193684\n0.50 1.019504\n0.75 1.726202\nName: 5961, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06715619464469459, std values: 0.9665268224111513, min values: -2.7542003929097176, max values: 5.0, median values: -0.1424766752547178, and quantile values: 0.25 -0.742746\n0.50 -0.142477\n0.75 0.548950\nName: 5962, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.033823453951689966, std values: 1.0666574730481577, min values: -2.226424194672579, max values: 4.0, median values: -0.0586924166814134, and quantile values: 0.25 -0.951369\n0.50 -0.058692\n0.75 0.779427\nName: 5963, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14950686079232106, std values: 0.8955414350040911, min values: -2.088073670211855, max values: 4.0, median values: -0.1131798924614112, and quantile values: 0.25 -0.875190\n0.50 -0.113180\n0.75 0.572042\nName: 5964, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34847783772936614, std values: 0.9250322402239564, min values: -2.2276120832807416, max values: 6.0, median values: 0.4389911001613308, and quantile values: 0.25 -0.340286\n0.50 0.438991\n0.75 1.061495\nName: 5965, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02779237710216398, std values: 0.881600317713747, min values: -2.1447730697608054, max values: 3.630507857092792, median values: 0.0564580315397089, and quantile values: 0.25 -0.628132\n0.50 0.056458\n0.75 0.630601\nName: 5966, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.011631712759989957, std values: 0.8136973633497562, min values: -2.046407181704428, max values: 3.784832159836258, median values: -0.084812495655492, and quantile values: 0.25 -0.589218\n0.50 -0.084812\n0.75 0.502438\nName: 5967, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01860998863737866, std values: 1.0021438562084046, min values: -2.271143658239337, max values: 6.0, median values: -0.1020890379528709, and quantile values: 0.25 -0.766847\n0.50 -0.102089\n0.75 0.660389\nName: 5968, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03574490397675421, std values: 0.9565652216028961, min values: -2.6466193392086392, max values: 4.0, median values: 0.0391157970803324, and quantile values: 0.25 -0.646898\n0.50 0.039116\n0.75 0.603417\nName: 5969, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25756720408104394, std values: 0.8590016824957631, min values: -2.5953860446419177, max values: 3.0651860794139534, median values: -0.3328544925291216, and quantile values: 0.25 -0.794856\n0.50 -0.332854\n0.75 0.270547\nName: 5970, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6551408965991408, std values: 1.1669185421185015, min values: -2.105967784650795, max values: 4.0, median values: 0.6376046804749593, and quantile values: 0.25 -0.234676\n0.50 0.637605\n0.75 1.663898\nName: 5971, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04644971784484805, std values: 0.8165458579770527, min values: -2.196181211030292, max values: 3.162318759909359, median values: 0.0821318589348506, and quantile values: 0.25 -0.566928\n0.50 0.082132\n0.75 0.649172\nName: 5972, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6535797050620026, std values: 1.1714434906845237, min values: -2.8164291268114208, max values: 3.3014869995452325, median values: 0.8561119880666418, and quantile values: 0.25 0.076817\n0.50 0.856112\n0.75 1.486546\nName: 5973, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0772454507313145, std values: 0.8739241112459303, min values: -2.57895707818966, max values: 6.0, median values: 0.1538030910785943, and quantile values: 0.25 -0.462893\n0.50 0.153803\n0.75 0.666146\nName: 5974, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06417073024122093, std values: 1.0375962030725885, min values: -2.673549169958716, max values: 6.0, median values: 0.2046286087928325, and quantile values: 0.25 -0.605334\n0.50 0.204629\n0.75 0.785340\nName: 5975, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07323844632202729, std values: 0.9272949493978397, min values: -1.9076163883928123, max values: 3.3014869995452325, median values: -0.1642628540772872, and quantile values: 0.25 -0.805152\n0.50 -0.164263\n0.75 0.568592\nName: 5976, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1477161119918598, std values: 0.8619552504712981, min values: -2.732564679617164, max values: 3.197902420311553, median values: 0.188179295985895, and quantile values: 0.25 -0.442392\n0.50 0.188179\n0.75 0.701427\nName: 5977, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11236091577736405, std values: 0.9102596241917488, min values: -2.8297583842718432, max values: 5.0, median values: -0.0797557060413551, and quantile values: 0.25 -0.677535\n0.50 -0.079756\n0.75 0.514080\nName: 5978, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31157216103515933, std values: 1.0278807326778259, min values: -2.730840794324401, max values: 4.243835016543704, median values: 0.4324805004508287, and quantile values: 0.25 -0.251158\n0.50 0.432481\n0.75 0.985979\nName: 5979, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0636160211234782, std values: 0.7316402065609291, min values: -2.021565395333485, max values: 2.6451552890503414, median values: -0.0523033613043978, and quantile values: 0.25 -0.557716\n0.50 -0.052303\n0.75 0.418098\nName: 5980, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.504319050478811, std values: 1.0164438120619703, min values: -3.5186644300181262, max values: 3.630507857092792, median values: 0.6384139008678308, and quantile values: 0.25 -0.272991\n0.50 0.638414\n0.75 1.314859\nName: 5981, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4051281367314677, std values: 0.8325868654813937, min values: -2.572123985342288, max values: 5.0, median values: -0.4900585362912911, and quantile values: 0.25 -0.934156\n0.50 -0.490059\n0.75 0.073900\nName: 5982, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5694012570885894, std values: 0.9818545594750253, min values: -2.521882829270847, max values: 4.0, median values: 0.7127143195962652, and quantile values: 0.25 -0.017929\n0.50 0.712714\n0.75 1.248632\nName: 5983, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39957923070182827, std values: 0.8851656075263904, min values: -2.7257183488872623, max values: 5.0, median values: 0.3718963586160186, and quantile values: 0.25 -0.165916\n0.50 0.371896\n0.75 0.979319\nName: 5984, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17149530163841312, std values: 0.9102626767641955, min values: -2.6404955031131814, max values: 6.0, median values: -0.3093380607640762, and quantile values: 0.25 -0.836466\n0.50 -0.309338\n0.75 0.442678\nName: 5985, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7597933232486574, std values: 1.1142698433539917, min values: -2.5953860446419177, max values: 3.760287110694155, median values: 0.8444501112673082, and quantile values: 0.25 0.149906\n0.50 0.844450\n0.75 1.546453\nName: 5986, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10660852710137386, std values: 0.9439722959863813, min values: -2.537573835824454, max values: 6.0, median values: -0.2236364186867409, and quantile values: 0.25 -0.821271\n0.50 -0.223636\n0.75 0.486065\nName: 5987, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6877750493821537, std values: 0.8602626708885496, min values: -1.9143663226252985, max values: 3.197902420311553, median values: 0.7813311078884219, and quantile values: 0.25 0.079045\n0.50 0.781331\n0.75 1.355846\nName: 5988, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2420520664039214, std values: 1.2379990946111892, min values: -2.5293911731823453, max values: 3.670892362631932, median values: 0.135160258154647, and quantile values: 0.25 -0.681375\n0.50 0.135160\n0.75 1.238519\nName: 5989, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.568697561585896, std values: 1.0059850303456126, min values: -2.6635706018350787, max values: 3.5021977227593246, median values: 0.6021946062832305, and quantile values: 0.25 -0.160358\n0.50 0.602195\n0.75 1.410460\nName: 5990, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13146916985293505, std values: 0.7606256878803834, min values: -2.349293916724472, max values: 3.162318759909359, median values: 0.1471764493569699, and quantile values: 0.25 -0.402821\n0.50 0.147176\n0.75 0.672399\nName: 5991, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40041617543676633, std values: 0.8388058703067078, min values: -2.096272675358738, max values: 3.569037956734876, median values: -0.5458206370094646, and quantile values: 0.25 -1.022632\n0.50 -0.545821\n0.75 0.121234\nName: 5992, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08330586022825873, std values: 0.8597097212061852, min values: -2.090799501270592, max values: 3.0, median values: -0.076793011642168, and quantile values: 0.25 -0.710295\n0.50 -0.076793\n0.75 0.509796\nName: 5993, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2237402184066076, std values: 0.8970576743093598, min values: -2.160415784529872, max values: 3.216771431244405, median values: -0.3672298250703367, and quantile values: 0.25 -0.892374\n0.50 -0.367230\n0.75 0.381868\nName: 5994, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.017451322207888465, std values: 1.113712709653673, min values: -2.842989614395848, max values: 5.0, median values: 0.0309661490574586, and quantile values: 0.25 -0.756386\n0.50 0.030966\n0.75 0.889562\nName: 5995, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32443082601840767, std values: 0.8594378806929189, min values: -2.58513369695146, max values: 4.0, median values: -0.3901437473700536, and quantile values: 0.25 -0.884238\n0.50 -0.390144\n0.75 0.178545\nName: 5996, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6057375902105232, std values: 0.9313259534834409, min values: -2.8531572940820533, max values: 3.5908526919299577, median values: 0.7162258551035184, and quantile values: 0.25 -0.007656\n0.50 0.716226\n0.75 1.291316\nName: 5997, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15198811115088606, std values: 1.106688080596617, min values: -2.92272757463548, max values: 6.0, median values: -0.0914753149566517, and quantile values: 0.25 -0.746379\n0.50 -0.091475\n0.75 0.636829\nName: 5998, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4007992018073903, std values: 0.8228851841074928, min values: -2.27710446206836, max values: 4.243835016543704, median values: 0.3065081777443618, and quantile values: 0.25 -0.144616\n0.50 0.306508\n0.75 0.925528\nName: 5999, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24414800620519234, std values: 0.798989617194898, min values: -2.300042081328127, max values: 4.0, median values: 0.3134157606638226, and quantile values: 0.25 -0.321611\n0.50 0.313416\n0.75 0.810629\nName: 6000, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.025994245973730744, std values: 0.7933504006632331, min values: -2.349293916724472, max values: 3.379902545505621, median values: -0.0659493507485488, and quantile values: 0.25 -0.653206\n0.50 -0.065949\n0.75 0.505897\nName: 6001, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04198452262525292, std values: 0.84505545993848, min values: -2.7314147016889114, max values: 3.336438412828754, median values: -0.0047092399391218, and quantile values: 0.25 -0.527315\n0.50 -0.004709\n0.75 0.562520\nName: 6002, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3490894908446771, std values: 0.9819336360125498, min values: -4.085688076061039, max values: 3.05919958255637, median values: -0.4401771832227003, and quantile values: 0.25 -1.159281\n0.50 -0.440177\n0.75 0.389991\nName: 6003, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12551888946002862, std values: 0.9598054954019686, min values: -2.7542003929097176, max values: 5.0, median values: 0.1009651630229069, and quantile values: 0.25 -0.565374\n0.50 0.100965\n0.75 0.926670\nName: 6004, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19280620617699662, std values: 0.8484468481828789, min values: -2.3893642989164, max values: 3.0932086550988465, median values: -0.3257776610208667, and quantile values: 0.25 -0.784249\n0.50 -0.325778\n0.75 0.338623\nName: 6005, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24087858687806799, std values: 0.8337397866994157, min values: -2.0567990530927305, max values: 3.216771431244405, median values: -0.3471874873971564, and quantile values: 0.25 -0.831384\n0.50 -0.347187\n0.75 0.251522\nName: 6006, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27247836596429126, std values: 0.8991427286467861, min values: -2.693453432157769, max values: 3.415255285860171, median values: -0.3221616218726796, and quantile values: 0.25 -0.847483\n0.50 -0.322162\n0.75 0.272705\nName: 6007, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6069422104758289, std values: 1.0255921018891547, min values: -2.0604662602729085, max values: 6.0, median values: 0.6475918711444186, and quantile values: 0.25 -0.153889\n0.50 0.647592\n0.75 1.471525\nName: 6008, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2996953671315814, std values: 1.0457814336494615, min values: -2.634919142586459, max values: 6.0, median values: -0.2435774061957442, and quantile values: 0.25 -1.061884\n0.50 -0.243577\n0.75 0.504627\nName: 6009, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36677128279601995, std values: 0.9718675365032544, min values: -2.264034258932616, max values: 3.336438412828754, median values: -0.4866767929561058, and quantile values: 0.25 -1.143836\n0.50 -0.486677\n0.75 0.242725\nName: 6010, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.241493386963054, std values: 0.8183924914551426, min values: -2.72346435408924, max values: 4.0, median values: 0.1724763368125692, and quantile values: 0.25 -0.376814\n0.50 0.172476\n0.75 0.793312\nName: 6011, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4943662316644317, std values: 1.6320046260035428, min values: -2.9265160609644223, max values: 6.0, median values: -0.2322728708765861, and quantile values: 0.25 -2.077527\n0.50 -0.232273\n0.75 0.870584\nName: 6012, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22624485144685497, std values: 0.9326618817611094, min values: -2.623568901859613, max values: 4.0, median values: -0.1265928357069592, and quantile values: 0.25 -0.874492\n0.50 -0.126593\n0.75 0.417608\nName: 6013, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.312868497405635, std values: 0.9886103092760226, min values: -2.3462601766091806, max values: 4.243835016543704, median values: -0.4173243330983772, and quantile values: 0.25 -1.108071\n0.50 -0.417324\n0.75 0.365850\nName: 6014, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1558132271653815, std values: 0.8862141541583219, min values: -2.1232100101643527, max values: 6.0, median values: -0.27032653925422, and quantile values: 0.25 -0.811837\n0.50 -0.270327\n0.75 0.428341\nName: 6015, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.013486189293711912, std values: 0.9342868830989435, min values: -2.2915911556076085, max values: 3.760287110694155, median values: -0.1396837808262437, and quantile values: 0.25 -0.663920\n0.50 -0.139684\n0.75 0.639892\nName: 6016, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6080285782386833, std values: 1.1792134056558186, min values: -2.6820581866633817, max values: 3.349054967837474, median values: -0.52370641268202, and quantile values: 0.25 -1.786578\n0.50 -0.523706\n0.75 0.255183\nName: 6017, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4489760679088964, std values: 1.0623347214920902, min values: -2.5953860446419177, max values: 3.0148736195915853, median values: -0.2892518019290379, and quantile values: 0.25 -1.184322\n0.50 -0.289252\n0.75 0.360286\nName: 6018, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03590234175865694, std values: 1.0223468139405296, min values: -2.634919142586459, max values: 6.0, median values: 0.0026707021794931, and quantile values: 0.25 -0.666515\n0.50 0.002671\n0.75 0.611834\nName: 6019, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03202142119047621, std values: 0.9856267293829355, min values: -2.919359491767569, max values: 6.0, median values: -0.015930329771936, and quantile values: 0.25 -0.515542\n0.50 -0.015930\n0.75 0.635210\nName: 6020, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2072687078500054, std values: 0.8157255330258646, min values: -2.1238235090034925, max values: 3.2936960268109283, median values: -0.3128944932331943, and quantile values: 0.25 -0.796943\n0.50 -0.312894\n0.75 0.326376\nName: 6021, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01201319198882953, std values: 0.9620660217223792, min values: -2.5906203367024587, max values: 3.319774799707247, median values: 0.0064522644886848, and quantile values: 0.25 -0.743109\n0.50 0.006452\n0.75 0.724758\nName: 6022, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3532871086363835, std values: 0.8628237571004589, min values: -2.605098146828148, max values: 6.0, median values: -0.3851244641451705, and quantile values: 0.25 -0.976265\n0.50 -0.385124\n0.75 0.170710\nName: 6023, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.851854312017545, std values: 1.0208160505738892, min values: -1.887029851333894, max values: 3.0, median values: 0.9208565107973794, and quantile values: 0.25 0.100522\n0.50 0.920857\n0.75 1.692778\nName: 6024, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15300394387194244, std values: 0.8570124395892579, min values: -2.2675359747837835, max values: 4.243835016543704, median values: 0.105754986044852, and quantile values: 0.25 -0.410578\n0.50 0.105755\n0.75 0.696296\nName: 6025, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.020983422563590745, std values: 0.9494301775273722, min values: -2.8563982925340614, max values: 4.0, median values: 0.0440216614951444, and quantile values: 0.25 -0.500747\n0.50 0.044022\n0.75 0.565874\nName: 6026, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.48832691923755356, std values: 0.8307247079506928, min values: -1.9272844686686887, max values: 3.721862465295849, median values: 0.5728377455323036, and quantile values: 0.25 -0.062445\n0.50 0.572838\n0.75 1.100670\nName: 6027, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8931126895919078, std values: 1.0440714262840844, min values: -2.2915911556076085, max values: 3.3636961113187773, median values: 1.0913620209385302, and quantile values: 0.25 0.187306\n0.50 1.091362\n0.75 1.712721\nName: 6028, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.551384870407443, std values: 0.802428041292177, min values: -2.119621483749997, max values: 3.784832159836258, median values: 0.6158573876359484, and quantile values: 0.25 -0.035836\n0.50 0.615857\n0.75 1.171880\nName: 6029, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14112860019318005, std values: 1.1311877206726881, min values: -2.933035609461076, max values: 5.0, median values: 0.2345547932141439, and quantile values: 0.25 -0.582926\n0.50 0.234555\n0.75 1.014747\nName: 6030, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19524515594464523, std values: 1.3398140040614428, min values: -2.981718296512785, max values: 5.0, median values: 0.014458643109095, and quantile values: 0.25 -1.485549\n0.50 0.014459\n0.75 0.876472\nName: 6031, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28244877852729733, std values: 0.7396978861838902, min values: -2.4316671413950983, max values: 5.0, median values: 0.3340190356192489, and quantile values: 0.25 -0.199611\n0.50 0.334019\n0.75 0.783604\nName: 6032, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11239567572016483, std values: 0.9315617734897012, min values: -2.5689076212724418, max values: 5.0, median values: 0.1393257966813954, and quantile values: 0.25 -0.581868\n0.50 0.139326\n0.75 0.823857\nName: 6033, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1300271379545405, std values: 1.0055358500995613, min values: -2.608390851963037, max values: 5.0, median values: 0.1189963544605738, and quantile values: 0.25 -0.444817\n0.50 0.118996\n0.75 0.740280\nName: 6034, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4730038885889965, std values: 0.9014673919939723, min values: -2.5213149333948146, max values: 3.627976272701048, median values: 0.5570745791479208, and quantile values: 0.25 -0.144626\n0.50 0.557075\n0.75 1.153205\nName: 6035, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.011745366271196093, std values: 0.7884809592958788, min values: -2.264034258932616, max values: 3.528773265847577, median values: -0.0643762734917679, and quantile values: 0.25 -0.513109\n0.50 -0.064376\n0.75 0.465579\nName: 6036, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20652357819609363, std values: 0.7507888471582844, min values: -2.047750152315884, max values: 4.243835016543704, median values: 0.1909389522242112, and quantile values: 0.25 -0.278311\n0.50 0.190939\n0.75 0.667247\nName: 6037, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29567312246958044, std values: 0.8748053787250611, min values: -2.5689076212724418, max values: 5.0, median values: -0.4271946878040252, and quantile values: 0.25 -0.963028\n0.50 -0.427195\n0.75 0.273662\nName: 6038, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29019847025495527, std values: 0.9225019936701147, min values: -2.370701991915909, max values: 5.0, median values: 0.1992634214340434, and quantile values: 0.25 -0.283382\n0.50 0.199263\n0.75 0.846028\nName: 6039, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30651209019934705, std values: 0.8424789893384855, min values: -2.087432639025188, max values: 4.0, median values: 0.3338383078755509, and quantile values: 0.25 -0.281089\n0.50 0.333838\n0.75 0.869458\nName: 6040, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10885058238003191, std values: 0.9232894080613789, min values: -2.688157591415518, max values: 5.0, median values: -0.0992768237635203, and quantile values: 0.25 -0.713985\n0.50 -0.099277\n0.75 0.462157\nName: 6041, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2093791949401278, std values: 0.865906126093663, min values: -2.572123985342288, max values: 4.0, median values: 0.2302569680187698, and quantile values: 0.25 -0.430511\n0.50 0.230257\n0.75 0.877848\nName: 6042, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6318179398977729, std values: 1.0014545938698487, min values: -2.769191083399913, max values: 3.721862465295849, median values: -0.6715194163501506, and quantile values: 0.25 -1.267284\n0.50 -0.671519\n0.75 -0.024760\nName: 6043, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10404405285237714, std values: 0.8620552869449808, min values: -2.087432639025188, max values: 4.0, median values: -0.1167837494752065, and quantile values: 0.25 -0.798828\n0.50 -0.116784\n0.75 0.471936\nName: 6044, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09614258197136899, std values: 0.850911036666787, min values: -2.737201088051888, max values: 3.224152805256112, median values: 0.0075867487135214, and quantile values: 0.25 -0.490298\n0.50 0.007587\n0.75 0.634032\nName: 6045, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07233813504858684, std values: 0.7789936873429795, min values: -3.0223671288921072, max values: 4.278004674434932, median values: 0.0798749396218598, and quantile values: 0.25 -0.448290\n0.50 0.079875\n0.75 0.531666\nName: 6046, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14103427167045723, std values: 0.8114056745192415, min values: -2.352074604067917, max values: 3.0, median values: -0.2192776758617199, and quantile values: 0.25 -0.769502\n0.50 -0.219278\n0.75 0.409396\nName: 6047, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40476355992324975, std values: 0.9319863198115405, min values: -2.525881048269423, max values: 3.721862465295849, median values: -0.5024695186872884, and quantile values: 0.25 -1.097146\n0.50 -0.502470\n0.75 0.174165\nName: 6048, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1939337889127813, std values: 0.9100837389610216, min values: -2.580492024304656, max values: 3.0, median values: 0.2416788464108326, and quantile values: 0.25 -0.504564\n0.50 0.241679\n0.75 0.904831\nName: 6049, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16096015623953694, std values: 0.9492967764556098, min values: -2.869671295224012, max values: 6.0, median values: 0.202263993552439, and quantile values: 0.25 -0.375597\n0.50 0.202264\n0.75 0.775885\nName: 6050, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0931363782674888, std values: 0.7531786419816194, min values: -2.2161166709808824, max values: 6.0, median values: 0.1098822665062947, and quantile values: 0.25 -0.408085\n0.50 0.109882\n0.75 0.575013\nName: 6051, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.048331948062195526, std values: 0.9754239392214672, min values: -2.6652153608723106, max values: 5.0, median values: 0.1103532819416272, and quantile values: 0.25 -0.596996\n0.50 0.110353\n0.75 0.715307\nName: 6052, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3663808148726735, std values: 0.7804862524779158, min values: -2.4536054974529624, max values: 6.0, median values: 0.4378390427900837, and quantile values: 0.25 -0.146286\n0.50 0.437839\n0.75 0.877443\nName: 6053, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.015442264522873056, std values: 0.9098021513031538, min values: -2.5631847770497496, max values: 4.0, median values: -0.0730440813482761, and quantile values: 0.25 -0.712245\n0.50 -0.073044\n0.75 0.652181\nName: 6054, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38931910808459347, std values: 0.9172665137955003, min values: -2.8246479422601736, max values: 6.0, median values: -0.344578995772653, and quantile values: 0.25 -1.010489\n0.50 -0.344579\n0.75 0.170375\nName: 6055, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4516501926020905, std values: 0.9409799249969447, min values: -2.673124659932621, max values: 6.0, median values: -0.4820260023829759, and quantile values: 0.25 -1.142936\n0.50 -0.482026\n0.75 0.139914\nName: 6056, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27095495775263306, std values: 0.7707340525318404, min values: -2.070696498607387, max values: 5.0, median values: 0.3617556887586991, and quantile values: 0.25 -0.252620\n0.50 0.361756\n0.75 0.819151\nName: 6057, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05391597404088661, std values: 0.8260777100971729, min values: -2.727901130262228, max values: 4.0, median values: 0.080750319126142, and quantile values: 0.25 -0.451716\n0.50 0.080750\n0.75 0.607906\nName: 6058, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38826888602266474, std values: 1.0705073395704354, min values: -2.1124050188802093, max values: 3.598076523509904, median values: 0.2386150589813965, and quantile values: 0.25 -0.352949\n0.50 0.238615\n0.75 1.139753\nName: 6059, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7686038096671026, std values: 0.9615517305737679, min values: -2.134987510471223, max values: 3.2701555622463814, median values: 0.8458250618826703, and quantile values: 0.25 0.037159\n0.50 0.845825\n0.75 1.557668\nName: 6060, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.414190766742935, std values: 0.9560217437813946, min values: -3.3690402064071137, max values: 3.050873041333768, median values: -0.4445473671989651, and quantile values: 0.25 -1.109497\n0.50 -0.444547\n0.75 0.182520\nName: 6061, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4249378961988874, std values: 0.9948131748037359, min values: -3.24173864501462, max values: 3.236860296211547, median values: -0.3427676873690106, and quantile values: 0.25 -1.023806\n0.50 -0.342768\n0.75 0.219503\nName: 6062, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09565754222286994, std values: 0.9129179724267791, min values: -3.1175233493066874, max values: 3.1485882570365185, median values: 0.0939921918712274, and quantile values: 0.25 -0.470273\n0.50 0.093992\n0.75 0.706437\nName: 6063, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4407469606691936, std values: 0.823113528588618, min values: -2.299460330888208, max values: 4.0, median values: 0.4730943017023438, and quantile values: 0.25 -0.089553\n0.50 0.473094\n0.75 0.996727\nName: 6064, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.023058163463643595, std values: 0.7359132813029452, min values: -1.9242060307523308, max values: 6.0, median values: 0.0116218517278903, and quantile values: 0.25 -0.451192\n0.50 0.011622\n0.75 0.477318\nName: 6065, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20692468792630245, std values: 1.0235790785292957, min values: -2.64479559868397, max values: 6.0, median values: 0.2107099609396396, and quantile values: 0.25 -0.453392\n0.50 0.210710\n0.75 0.922881\nName: 6066, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10299521262263701, std values: 0.8125741212915414, min values: -2.4960309093026924, max values: 3.760287110694155, median values: 0.0936110048265911, and quantile values: 0.25 -0.453994\n0.50 0.093611\n0.75 0.599984\nName: 6067, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6022832926740174, std values: 1.0944016405499193, min values: -2.688157591415518, max values: 4.0, median values: -0.5994267486230876, and quantile values: 0.25 -1.355707\n0.50 -0.599427\n0.75 0.048654\nName: 6068, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22172786742513864, std values: 0.801713430441906, min values: -2.065089589366759, max values: 5.0, median values: -0.2767084862015691, and quantile values: 0.25 -0.764808\n0.50 -0.276708\n0.75 0.220657\nName: 6069, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10932724241584056, std values: 0.9098805049298639, min values: -2.2038853164231766, max values: 3.3014869995452325, median values: 0.1632807567587288, and quantile values: 0.25 -0.571736\n0.50 0.163281\n0.75 0.835320\nName: 6070, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12598240879282116, std values: 0.7231520398649279, min values: -2.0604662602729085, max values: 6.0, median values: -0.1606226952854102, and quantile values: 0.25 -0.593948\n0.50 -0.160623\n0.75 0.289522\nName: 6071, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19773167084175242, std values: 0.7310738050556984, min values: -1.932604056729708, max values: 5.0, median values: 0.1506851011777306, and quantile values: 0.25 -0.293715\n0.50 0.150685\n0.75 0.665596\nName: 6072, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3983410129386448, std values: 0.8782586335892794, min values: -1.9964905264151551, max values: 4.0, median values: 0.4689403368425688, and quantile values: 0.25 -0.249055\n0.50 0.468940\n0.75 1.092733\nName: 6073, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2823214115891652, std values: 0.9899198351499912, min values: -1.9652261322507751, max values: 3.9905524164385566, median values: 0.2100905362356171, and quantile values: 0.25 -0.413923\n0.50 0.210091\n0.75 0.836452\nName: 6074, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4563401546323222, std values: 0.8445385178612018, min values: -2.5501488616953263, max values: 3.280245386470253, median values: 0.4084724819741238, and quantile values: 0.25 -0.082021\n0.50 0.408472\n0.75 1.007694\nName: 6075, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09757066106943561, std values: 0.8685331771954289, min values: -2.179853905073574, max values: 6.0, median values: -0.1227341761437277, and quantile values: 0.25 -0.690795\n0.50 -0.122734\n0.75 0.442390\nName: 6076, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.566019546621464, std values: 1.5093496468395724, min values: -3.0484008792629496, max values: 5.0, median values: -0.4426633870494347, and quantile values: 0.25 -1.998750\n0.50 -0.442663\n0.75 0.685490\nName: 6077, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3638062664297721, std values: 1.2495975803708326, min values: -3.074005993202373, max values: 3.867701659180865, median values: -0.3796908586985985, and quantile values: 0.25 -1.256844\n0.50 -0.379691\n0.75 0.478021\nName: 6078, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4613783756404638, std values: 0.8285780750041876, min values: -2.662750916816848, max values: 5.0, median values: 0.5196665872841997, and quantile values: 0.25 -0.077794\n0.50 0.519667\n0.75 1.032906\nName: 6079, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2040277048534336, std values: 0.8881751181101208, min values: -3.0133870328644434, max values: 3.306454397423372, median values: 0.3180164964523885, and quantile values: 0.25 -0.327772\n0.50 0.318016\n0.75 0.836570\nName: 6080, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18698602004023135, std values: 1.1341209850038056, min values: -2.1139459297101, max values: 3.3014869995452325, median values: 0.0928304833511714, and quantile values: 0.25 -0.734208\n0.50 0.092830\n0.75 1.133357\nName: 6081, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33431576794499923, std values: 0.8131502229100965, min values: -2.317857950167097, max values: 6.0, median values: -0.4406899320628665, and quantile values: 0.25 -0.909325\n0.50 -0.440690\n0.75 0.163343\nName: 6082, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18912867647865375, std values: 0.826364445806661, min values: -2.142854198138545, max values: 5.0, median values: 0.2570741767439788, and quantile values: 0.25 -0.363905\n0.50 0.257074\n0.75 0.783950\nName: 6083, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3598473810572505, std values: 0.9215190349112894, min values: -2.8451834694312192, max values: 3.0, median values: -0.4800625203857105, and quantile values: 0.25 -1.106187\n0.50 -0.480063\n0.75 0.265823\nName: 6084, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6375909679722241, std values: 0.8805309197714228, min values: -2.4823451998031074, max values: 3.760287110694155, median values: -0.756789465212694, and quantile values: 0.25 -1.274321\n0.50 -0.756789\n0.75 -0.144697\nName: 6085, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7268111790833311, std values: 1.6235364849493636, min values: -3.3364384128287203, max values: 4.278004674434932, median values: -0.8573730361501957, and quantile values: 0.25 -2.076845\n0.50 -0.857373\n0.75 0.452239\nName: 6086, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25235370584265976, std values: 0.961864206126898, min values: -2.556631690482005, max values: 3.867701659180865, median values: -0.2697904532175395, and quantile values: 0.25 -0.987325\n0.50 -0.269790\n0.75 0.381675\nName: 6087, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20707459718985494, std values: 0.8570131402185555, min values: -2.620939317041317, max values: 3.2701555622463814, median values: -0.194671029454573, and quantile values: 0.25 -0.851517\n0.50 -0.194671\n0.75 0.377829\nName: 6088, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10721939598850432, std values: 0.8492939883031719, min values: -2.609385158408876, max values: 4.0, median values: -0.129492828244375, and quantile values: 0.25 -0.613003\n0.50 -0.129493\n0.75 0.438615\nName: 6089, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.006819116516505867, std values: 0.8878866105450492, min values: -2.92272757463548, max values: 6.0, median values: -0.0024107217905238, and quantile values: 0.25 -0.668168\n0.50 -0.002411\n0.75 0.668966\nName: 6090, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28065268000031957, std values: 0.8785811744487495, min values: -2.230916474213956, max values: 2.891990595045599, median values: -0.348614689597394, and quantile values: 0.25 -0.992069\n0.50 -0.348615\n0.75 0.312870\nName: 6091, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14659347871818704, std values: 0.8784017613336028, min values: -2.521882829270847, max values: 4.0, median values: -0.1287611777220505, and quantile values: 0.25 -0.705907\n0.50 -0.128761\n0.75 0.392108\nName: 6092, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15326364918716032, std values: 0.8283231419714377, min values: -2.6635706018350787, max values: 3.216771431244405, median values: -0.1067704970725381, and quantile values: 0.25 -0.708121\n0.50 -0.106770\n0.75 0.365269\nName: 6093, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24205137712791197, std values: 0.7934023601090825, min values: -2.475272102106495, max values: 4.0, median values: 0.2847694521005932, and quantile values: 0.25 -0.295196\n0.50 0.284769\n0.75 0.748564\nName: 6094, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24650774191734956, std values: 0.8089226934802467, min values: -2.043287858674072, max values: 4.0, median values: -0.3415699241935237, and quantile values: 0.25 -0.827266\n0.50 -0.341570\n0.75 0.268979\nName: 6095, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.060696025538983296, std values: 1.1321729474081612, min values: -2.838932175687192, max values: 4.0, median values: 0.2670497009815131, and quantile values: 0.25 -0.607253\n0.50 0.267050\n0.75 0.839152\nName: 6096, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.007925078014739328, std values: 1.1144427303092443, min values: -2.842989614395848, max values: 5.0, median values: -0.0034506444997644, and quantile values: 0.25 -0.870905\n0.50 -0.003451\n0.75 0.918800\nName: 6097, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3209682504280998, std values: 0.9733496901415725, min values: -2.982771139679002, max values: 4.0, median values: -0.2302928635408616, and quantile values: 0.25 -0.842289\n0.50 -0.230293\n0.75 0.328895\nName: 6098, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23045052301882796, std values: 0.8911002826590579, min values: -2.6850842010492566, max values: 6.0, median values: -0.2910266397350823, and quantile values: 0.25 -0.938883\n0.50 -0.291027\n0.75 0.366558\nName: 6099, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36934454727729454, std values: 0.9272163171573806, min values: -2.638186942019407, max values: 4.0, median values: -0.5061390249449843, and quantile values: 0.25 -1.056479\n0.50 -0.506139\n0.75 0.236426\nName: 6100, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39575727505272784, std values: 1.016123955023519, min values: -2.879968592907284, max values: 4.0, median values: -0.6355811794061509, and quantile values: 0.25 -1.155598\n0.50 -0.635581\n0.75 0.168121\nName: 6101, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43016591231075374, std values: 1.1735432731097948, min values: -2.199533143121557, max values: 5.0, median values: 0.291840413205008, and quantile values: 0.25 -0.482200\n0.50 0.291840\n0.75 1.455797\nName: 6102, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2719634504150013, std values: 0.8724062988529778, min values: -2.120963982024631, max values: 5.0, median values: -0.273848208107304, and quantile values: 0.25 -0.941924\n0.50 -0.273848\n0.75 0.302116\nName: 6103, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06579432325261352, std values: 0.9167875005925359, min values: -2.1713395431384868, max values: 4.0, median values: -0.0551065039842845, and quantile values: 0.25 -0.621956\n0.50 -0.055107\n0.75 0.737895\nName: 6104, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4364150542063496, std values: 0.9022824640157365, min values: -3.066111439712689, max values: 3.477886732511886, median values: 0.4858845823245259, and quantile values: 0.25 -0.136725\n0.50 0.485885\n0.75 0.984904\nName: 6105, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5960598499675301, std values: 0.8403297064946642, min values: -2.558791007225312, max values: 3.0876051304901218, median values: -0.6912152022529796, and quantile values: 0.25 -1.191837\n0.50 -0.691215\n0.75 -0.062957\nName: 6106, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10475766733080129, std values: 0.8438119931641188, min values: -2.5961021427111413, max values: 3.528773265847577, median values: 0.1337912195945051, and quantile values: 0.25 -0.465816\n0.50 0.133791\n0.75 0.668700\nName: 6107, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0030785103379980037, std values: 0.7812250263166991, min values: -2.1898990596224515, max values: 4.0, median values: -0.0103048263214711, and quantile values: 0.25 -0.532317\n0.50 -0.010305\n0.75 0.480275\nName: 6108, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1545721036416635, std values: 0.9544675063366891, min values: -2.4823451998031074, max values: 3.0, median values: -0.1710940620558122, and quantile values: 0.25 -0.891635\n0.50 -0.171094\n0.75 0.535399\nName: 6109, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.036979822419368855, std values: 0.8626288683878648, min values: -2.1547684225520003, max values: 5.0, median values: -0.1150093563043765, and quantile values: 0.25 -0.683612\n0.50 -0.115009\n0.75 0.559063\nName: 6110, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15059337172743506, std values: 0.9693202548497512, min values: -2.687115288423959, max values: 5.0, median values: 0.1147044190968205, and quantile values: 0.25 -0.531775\n0.50 0.114704\n0.75 0.821734\nName: 6111, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1759281072994213, std values: 1.0489846973204868, min values: -2.955641696055872, max values: 3.434669824302974, median values: 0.011250261442435, and quantile values: 0.25 -0.860723\n0.50 0.011250\n0.75 0.615686\nName: 6112, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0041094867696926905, std values: 0.8364568502827581, min values: -2.486556664247513, max values: 3.0, median values: 0.0606833620099513, and quantile values: 0.25 -0.504658\n0.50 0.060683\n0.75 0.526121\nName: 6113, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44130467774852117, std values: 0.8009672708987229, min values: -2.164983805198548, max values: 5.0, median values: -0.5203749869609189, and quantile values: 0.25 -1.038037\n0.50 -0.520375\n0.75 0.038108\nName: 6114, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2155366939323591, std values: 0.9100878481193464, min values: -2.5122218748354936, max values: 3.2701555622463814, median values: 0.289301090651903, and quantile values: 0.25 -0.354474\n0.50 0.289301\n0.75 0.813962\nName: 6115, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3437569488112257, std values: 0.7942532901856372, min values: -2.299460330888208, max values: 4.0, median values: 0.4141368376935314, and quantile values: 0.25 -0.203736\n0.50 0.414137\n0.75 0.929211\nName: 6116, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11734994672361532, std values: 1.0851023385088898, min values: -2.8531572940820533, max values: 6.0, median values: -0.0753913793758749, and quantile values: 0.25 -0.858299\n0.50 -0.075391\n0.75 0.679824\nName: 6117, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38644628154911054, std values: 1.1613406833810105, min values: -2.955641696055872, max values: 3.397048482165858, median values: -0.2170496743186707, and quantile values: 0.25 -1.317757\n0.50 -0.217050\n0.75 0.472201\nName: 6118, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21738864132839555, std values: 0.9159530275470502, min values: -2.590643619371846, max values: 4.0, median values: -0.25684646731159, and quantile values: 0.25 -0.888014\n0.50 -0.256846\n0.75 0.425144\nName: 6119, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07110479651426618, std values: 0.7116039229488926, min values: -2.102760548955074, max values: 3.090297571450676, median values: -0.121443296122803, and quantile values: 0.25 -0.550075\n0.50 -0.121443\n0.75 0.356088\nName: 6120, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07150367312870375, std values: 0.8403578370050219, min values: -2.6002473957635144, max values: 6.0, median values: -0.135579958352977, and quantile values: 0.25 -0.644335\n0.50 -0.135580\n0.75 0.438563\nName: 6121, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25097535945523164, std values: 0.9250880068908403, min values: -2.144224014725033, max values: 5.0, median values: -0.3583472020760386, and quantile values: 0.25 -1.003539\n0.50 -0.358347\n0.75 0.400647\nName: 6122, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03292282724932637, std values: 0.782370467029779, min values: -2.198297282676139, max values: 5.0, median values: -0.1170055743624244, and quantile values: 0.25 -0.573519\n0.50 -0.117006\n0.75 0.480805\nName: 6123, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14775613253016825, std values: 0.9424222000045177, min values: -2.451741993860116, max values: 3.236860296211547, median values: -0.2503622953147925, and quantile values: 0.25 -0.859833\n0.50 -0.250362\n0.75 0.520050\nName: 6124, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2682282884753744, std values: 0.895139747015142, min values: -2.027551721113156, max values: 4.0, median values: 0.350276786307252, and quantile values: 0.25 -0.379158\n0.50 0.350277\n0.75 0.937965\nName: 6125, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20619961684241842, std values: 0.9494752171925873, min values: -2.2191327111709698, max values: 5.0, median values: -0.3725969101393706, and quantile values: 0.25 -0.966191\n0.50 -0.372597\n0.75 0.467371\nName: 6126, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24330426817461906, std values: 0.9312593193843128, min values: -2.0563425919957576, max values: 4.0, median values: 0.3057000913673669, and quantile values: 0.25 -0.425385\n0.50 0.305700\n0.75 0.911292\nName: 6127, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20930321683438613, std values: 0.8681431671942916, min values: -2.3922473154067863, max values: 5.0, median values: 0.2318202177626332, and quantile values: 0.25 -0.355882\n0.50 0.231820\n0.75 0.736158\nName: 6128, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30135830384191026, std values: 0.8840577209018202, min values: -2.8282523283494294, max values: 4.0, median values: -0.3214655517610413, and quantile values: 0.25 -0.902652\n0.50 -0.321466\n0.75 0.239749\nName: 6129, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20692553692796628, std values: 0.8395133370283858, min values: -2.5961021427111413, max values: 3.4758930087721422, median values: -0.2341661122603112, and quantile values: 0.25 -0.770354\n0.50 -0.234166\n0.75 0.301349\nName: 6130, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04545081592620162, std values: 0.891603780073994, min values: -2.919359491767569, max values: 6.0, median values: -0.0442109216150568, and quantile values: 0.25 -0.724525\n0.50 -0.044211\n0.75 0.658875\nName: 6131, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3744706465303774, std values: 0.9889222451567855, min values: -2.2851712105575097, max values: 4.026668017837955, median values: 0.4246326470105123, and quantile values: 0.25 -0.325470\n0.50 0.424633\n0.75 1.043433\nName: 6132, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3424931806556517, std values: 0.8387519867015372, min values: -2.687115288423959, max values: 5.0, median values: -0.4762205079943669, and quantile values: 0.25 -0.930032\n0.50 -0.476221\n0.75 0.134459\nName: 6133, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08019721614810757, std values: 0.8122486430405854, min values: -2.1371444472445806, max values: 3.3337116327022187, median values: -0.0529660447591166, and quantile values: 0.25 -0.654580\n0.50 -0.052966\n0.75 0.430148\nName: 6134, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.098733025001697, std values: 1.4892722870153021, min values: -2.879968592907284, max values: 4.0, median values: -1.830908372089746, and quantile values: 0.25 -2.224986\n0.50 -1.830908\n0.75 -0.036939\nName: 6135, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3461251474412457, std values: 1.7695980740048833, min values: -3.21990804472754, max values: 5.0, median values: -0.605036249758321, and quantile values: 0.25 -1.929501\n0.50 -0.605036\n0.75 0.893173\nName: 6136, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08179634114667028, std values: 0.8841270491912818, min values: -2.442256129120324, max values: 6.0, median values: -0.0599890454008418, and quantile values: 0.25 -0.789429\n0.50 -0.059989\n0.75 0.620149\nName: 6137, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7034689272927341, std values: 0.8535755483893525, min values: -1.8692297340525967, max values: 6.0, median values: 0.7001594532909647, and quantile values: 0.25 0.165828\n0.50 0.700159\n0.75 1.253571\nName: 6138, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29149409453549696, std values: 0.8490114989349312, min values: -2.20684812774738, max values: 5.0, median values: -0.2741913227476869, and quantile values: 0.25 -0.942267\n0.50 -0.274191\n0.75 0.291159\nName: 6139, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27376016460859565, std values: 0.8231675152513227, min values: -2.8531572940820533, max values: 3.247416277295021, median values: -0.3503521767192245, and quantile values: 0.25 -0.818757\n0.50 -0.350352\n0.75 0.209950\nName: 6140, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05001800291554852, std values: 0.8650723057505225, min values: -2.5122218748354936, max values: 3.319774799707247, median values: 0.1165896574130728, and quantile values: 0.25 -0.483128\n0.50 0.116590\n0.75 0.615343\nName: 6141, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1695141658808369, std values: 0.8435962257116717, min values: -2.090851036172633, max values: 3.667275230673496, median values: 0.1678381446384401, and quantile values: 0.25 -0.388348\n0.50 0.167838\n0.75 0.699667\nName: 6142, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2499211739160172, std values: 1.1462334648357109, min values: -2.620939317041317, max values: 4.0, median values: -0.2980331363941421, and quantile values: 0.25 -0.999719\n0.50 -0.298033\n0.75 0.544765\nName: 6143, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07525967413334408, std values: 0.9976877129713244, min values: -2.497627580948261, max values: 3.155170554159904, median values: 0.0321439128306487, and quantile values: 0.25 -0.731687\n0.50 0.032144\n0.75 0.643580\nName: 6144, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10920741925207711, std values: 0.8756255036834408, min values: -2.90140378513671, max values: 3.390469008396469, median values: 0.0819660659325602, and quantile values: 0.25 -0.487931\n0.50 0.081966\n0.75 0.658362\nName: 6145, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41274474221425744, std values: 0.8268843303992662, min values: -2.801183634509044, max values: 5.0, median values: -0.5315869787291733, and quantile values: 0.25 -1.025283\n0.50 -0.531587\n0.75 0.118697\nName: 6146, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05579093479688866, std values: 0.7656318892704673, min values: -2.104667097879677, max values: 4.0, median values: 0.042120060550076, and quantile values: 0.25 -0.441219\n0.50 0.042120\n0.75 0.550187\nName: 6147, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2375307844591167, std values: 0.858617302946064, min values: -2.437530694723507, max values: 5.0, median values: 0.3321145690148138, and quantile values: 0.25 -0.367200\n0.50 0.332115\n0.75 0.885077\nName: 6148, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15496893332992168, std values: 0.7566991043091755, min values: -2.7314147016889114, max values: 3.0, median values: -0.1340535410223057, and quantile values: 0.25 -0.647932\n0.50 -0.134054\n0.75 0.314861\nName: 6149, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.049821561799572, std values: 0.8894104570805544, min values: -2.8563982925340614, max values: 5.0, median values: 0.1295483708015652, and quantile values: 0.25 -0.486384\n0.50 0.129548\n0.75 0.603582\nName: 6150, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21749977566925366, std values: 1.019336183241097, min values: -2.9472833478224456, max values: 6.0, median values: 0.3884355846443363, and quantile values: 0.25 -0.293888\n0.50 0.388436\n0.75 0.877969\nName: 6151, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.059730611779581916, std values: 0.7385172097476173, min values: -2.042613396104449, max values: 5.0, median values: -0.0862308806088183, and quantile values: 0.25 -0.534390\n0.50 -0.086231\n0.75 0.361403\nName: 6152, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11443016621788368, std values: 0.9451792677091829, min values: -2.93129584560762, max values: 6.0, median values: 0.2503054635586857, and quantile values: 0.25 -0.423637\n0.50 0.250305\n0.75 0.723235\nName: 6153, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.48393405621259233, std values: 0.8049279333981916, min values: -2.7314147016889114, max values: 3.0, median values: -0.5283544430339884, and quantile values: 0.25 -1.076369\n0.50 -0.528354\n0.75 -0.001111\nName: 6154, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1116555746422866, std values: 0.7457498755317293, min values: -2.130013130592229, max values: 3.280245386470253, median values: -0.1303818719962115, and quantile values: 0.25 -0.619452\n0.50 -0.130382\n0.75 0.332289\nName: 6155, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13165231797383767, std values: 0.9230826354942497, min values: -2.5743883495350026, max values: 5.0, median values: -0.0388885596145613, and quantile values: 0.25 -0.746343\n0.50 -0.038889\n0.75 0.501765\nName: 6156, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06718203485458017, std values: 1.062320731374263, min values: -2.63315074164461, max values: 6.0, median values: 0.0298784585771528, and quantile values: 0.25 -0.650515\n0.50 0.029878\n0.75 0.778474\nName: 6157, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43431114223920814, std values: 0.8449588219720756, min values: -2.955641696055872, max values: 3.247416277295021, median values: 0.4719857822542034, and quantile values: 0.25 -0.012944\n0.50 0.471986\n0.75 0.936389\nName: 6158, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01742503551474649, std values: 1.0864794248495648, min values: -2.673124659932621, max values: 6.0, median values: 0.1159501905979842, and quantile values: 0.25 -0.692386\n0.50 0.115950\n0.75 0.854683\nName: 6159, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16450989547455058, std values: 0.9197408136346081, min values: -2.7428415536925543, max values: 5.0, median values: -0.2078878644759137, and quantile values: 0.25 -0.716439\n0.50 -0.207888\n0.75 0.346421\nName: 6160, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04130804394307331, std values: 0.8447193116924369, min values: -2.7648443048846945, max values: 3.2071942083719924, median values: -0.1241070720192744, and quantile values: 0.25 -0.630668\n0.50 -0.124107\n0.75 0.501256\nName: 6161, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13554685944152473, std values: 0.9479382839234829, min values: -2.622408470084112, max values: 3.9905524164385566, median values: 0.2693706151637269, and quantile values: 0.25 -0.417711\n0.50 0.269371\n0.75 0.768725\nName: 6162, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4120825801457753, std values: 0.7833391966653092, min values: -2.011274058715068, max values: 5.0, median values: 0.4702198311802822, and quantile values: 0.25 -0.082839\n0.50 0.470220\n0.75 0.903586\nName: 6163, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12392367034470166, std values: 0.9678491558442893, min values: -2.576018450691392, max values: 4.0, median values: 0.173013016375792, and quantile values: 0.25 -0.457138\n0.50 0.173013\n0.75 0.751118\nName: 6164, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3640349081190877, std values: 0.8825577876212312, min values: -2.5953860446419177, max values: 5.0, median values: 0.3878494618963596, and quantile values: 0.25 -0.113262\n0.50 0.387849\n0.75 0.933546\nName: 6165, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08261266804837845, std values: 0.7002138261312874, min values: -2.12073996675014, max values: 3.0, median values: 0.1023492621101685, and quantile values: 0.25 -0.343299\n0.50 0.102349\n0.75 0.511865\nName: 6166, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6505821758818, std values: 0.856584379704666, min values: -2.1232100101643527, max values: 6.0, median values: 0.7112830367726493, and quantile values: 0.25 0.063122\n0.50 0.711283\n0.75 1.222518\nName: 6167, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5130053623109105, std values: 0.8296121724078156, min values: -2.5743883495350026, max values: 5.0, median values: -0.4983101180855996, and quantile values: 0.25 -1.049040\n0.50 -0.498310\n0.75 -0.002671\nName: 6168, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5550697694055475, std values: 1.0649026732568019, min values: -3.5186644300181262, max values: 4.278004674434932, median values: 0.6414594233185298, and quantile values: 0.25 -0.161844\n0.50 0.641459\n0.75 1.381992\nName: 6169, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05097989483861626, std values: 0.7708325976182646, min values: -2.1112064782498527, max values: 3.3760121766849016, median values: 0.0136138950895925, and quantile values: 0.25 -0.620554\n0.50 0.013614\n0.75 0.481840\nName: 6170, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09088255865929468, std values: 0.9822277860371981, min values: -2.7510671817729784, max values: 6.0, median values: 0.0493688923592329, and quantile values: 0.25 -0.717842\n0.50 0.049369\n0.75 0.627915\nName: 6171, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1754679344728682, std values: 0.7646102450803742, min values: -2.2038853164231766, max values: 3.026950214607353, median values: 0.1781013474890274, and quantile values: 0.25 -0.314571\n0.50 0.178101\n0.75 0.633325\nName: 6172, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43124753473052646, std values: 0.914067566422928, min values: -2.6685266729136536, max values: 6.0, median values: 0.4924960548781202, and quantile values: 0.25 -0.204725\n0.50 0.492496\n0.75 1.108783\nName: 6173, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31484563049454195, std values: 0.8354035709324507, min values: -2.5859127503381347, max values: 3.0133870328644305, median values: 0.2862783890610763, and quantile values: 0.25 -0.229897\n0.50 0.286278\n0.75 0.849718\nName: 6174, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17552836098006405, std values: 0.8133384071157401, min values: -2.618746139350171, max values: 3.760287110694155, median values: 0.2486576934637414, and quantile values: 0.25 -0.397213\n0.50 0.248658\n0.75 0.765896\nName: 6175, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8412058902922771, std values: 1.0292057884322496, min values: -2.5213149333948146, max values: 3.709787027503053, median values: 0.8572023858012153, and quantile values: 0.25 0.144291\n0.50 0.857202\n0.75 1.575793\nName: 6176, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.056594516193705834, std values: 0.9477116733775509, min values: -2.6603025395856053, max values: 5.0, median values: 0.1234965462747569, and quantile values: 0.25 -0.555199\n0.50 0.123497\n0.75 0.699643\nName: 6177, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.470797916055823, std values: 0.7639498851601085, min values: -2.5879430435308, max values: 3.477886732511886, median values: -0.5928120156415039, and quantile values: 0.25 -1.010052\n0.50 -0.592812\n0.75 0.000544\nName: 6178, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3724662963877893, std values: 0.813690963889555, min values: -2.10683689261484, max values: 3.434669824302974, median values: -0.4781538803052546, and quantile values: 0.25 -0.958678\n0.50 -0.478154\n0.75 0.150741\nName: 6179, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.039904588216491746, std values: 0.8361937338734268, min values: -2.5774281843044924, max values: 4.0, median values: 0.0086503365149562, and quantile values: 0.25 -0.646200\n0.50 0.008650\n0.75 0.544829\nName: 6180, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2898302477301986, std values: 0.8140701787084699, min values: -2.1124050188802093, max values: 6.0, median values: -0.3817635154957569, and quantile values: 0.25 -0.863396\n0.50 -0.381764\n0.75 0.209120\nName: 6181, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1374521648298225, std values: 0.9187659376468604, min values: -2.2065783767301927, max values: 6.0, median values: 0.1930574792985144, and quantile values: 0.25 -0.568624\n0.50 0.193057\n0.75 0.828003\nName: 6182, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1468814285641665, std values: 1.2369394403791432, min values: -2.442256129120324, max values: 6.0, median values: -0.0332185198117541, and quantile values: 0.25 -0.855838\n0.50 -0.033219\n0.75 1.208887\nName: 6183, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1971985990012752, std values: 1.1320243718222625, min values: -3.05087304133376, max values: 5.0, median values: -0.1305964012230007, and quantile values: 0.25 -0.879462\n0.50 -0.130596\n0.75 0.618552\nName: 6184, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14164274034445784, std values: 0.8055600287927129, min values: -2.5213149333948146, max values: 3.155170554159904, median values: -0.1528859139639213, and quantile values: 0.25 -0.674712\n0.50 -0.152886\n0.75 0.321379\nName: 6185, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15790190975341262, std values: 0.845875057935781, min values: -2.810662060852592, max values: 3.047545592545638, median values: 0.137464565860969, and quantile values: 0.25 -0.389536\n0.50 0.137465\n0.75 0.676289\nName: 6186, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15523527161077028, std values: 0.7848884677893814, min values: -2.841647375415054, max values: 5.0, median values: 0.1640472581996663, and quantile values: 0.25 -0.397909\n0.50 0.164047\n0.75 0.685883\nName: 6187, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18935168579699715, std values: 0.760808366526131, min values: -2.119621483749997, max values: 6.0, median values: -0.1235438648484244, and quantile values: 0.25 -0.708516\n0.50 -0.123544\n0.75 0.318956\nName: 6188, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4760548111717067, std values: 0.884821171670205, min values: -3.0687217584296813, max values: 3.760287110694155, median values: -0.595612504778302, and quantile values: 0.25 -1.067953\n0.50 -0.595613\n0.75 0.052431\nName: 6189, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05242061302596494, std values: 0.7132601530468625, min values: -1.9843180868772257, max values: 6.0, median values: -0.0801594630866052, and quantile values: 0.25 -0.500881\n0.50 -0.080159\n0.75 0.336903\nName: 6190, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43750848810922033, std values: 1.1306235907680395, min values: -2.6466193392086392, max values: 4.278004674434932, median values: 0.5505560623266423, and quantile values: 0.25 -0.364521\n0.50 0.550556\n0.75 1.346924\nName: 6191, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22563004441181173, std values: 1.1721725006785555, min values: -2.9109251266226006, max values: 3.236860296211547, median values: -0.1463217111964883, and quantile values: 0.25 -0.893419\n0.50 -0.146322\n0.75 0.595528\nName: 6192, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3783045578854905, std values: 0.8527527110879798, min values: -1.926015229685484, max values: 4.0, median values: 0.4590039808397201, and quantile values: 0.25 -0.217921\n0.50 0.459004\n0.75 1.017281\nName: 6193, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3108861114415861, std values: 0.7802805569070147, min values: -2.6635706018350787, max values: 3.9905524164385566, median values: -0.4085922262283092, and quantile values: 0.25 -0.903480\n0.50 -0.408592\n0.75 0.203029\nName: 6194, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.48391879265189286, std values: 0.9437298395751792, min values: -2.542889966859849, max values: 6.0, median values: -0.6074510151360255, and quantile values: 0.25 -1.249113\n0.50 -0.607451\n0.75 0.120805\nName: 6195, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21780863220848323, std values: 0.7553569716657689, min values: -2.0477799217050063, max values: 5.0, median values: 0.2806123888540861, and quantile values: 0.25 -0.269648\n0.50 0.280612\n0.75 0.705765\nName: 6196, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6140742622274401, std values: 1.2734781887883435, min values: -2.837386543755612, max values: 4.0, median values: -0.7827691986330806, and quantile values: 0.25 -1.613309\n0.50 -0.782769\n0.75 0.217275\nName: 6197, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.010208454239259953, std values: 1.0390502362853644, min values: -2.1783746090513927, max values: 5.0, median values: -0.0046266210998115, and quantile values: 0.25 -0.872005\n0.50 -0.004627\n0.75 0.748862\nName: 6198, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1907657943455729, std values: 0.733359207820027, min values: -2.841647375415054, max values: 5.0, median values: 0.2435765673752838, and quantile values: 0.25 -0.277713\n0.50 0.243577\n0.75 0.683019\nName: 6199, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8270436519285206, std values: 1.288037905905824, min values: -3.101800431129944, max values: 6.0, median values: -0.7174143264368411, and quantile values: 0.25 -1.930470\n0.50 -0.717414\n0.75 0.105977\nName: 6200, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13605134777890562, std values: 0.8473106678487992, min values: -2.0655543577253828, max values: 4.0, median values: 0.1462299824300707, and quantile values: 0.25 -0.422914\n0.50 0.146230\n0.75 0.674861\nName: 6201, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22882847260154168, std values: 0.8484266484544081, min values: -2.8889090019311845, max values: 5.0, median values: -0.1272159253193054, and quantile values: 0.25 -0.717445\n0.50 -0.127216\n0.75 0.305308\nName: 6202, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27042086405079635, std values: 0.8143795393030114, min values: -2.687115288423959, max values: 5.0, median values: -0.3306431022031168, and quantile values: 0.25 -0.842838\n0.50 -0.330643\n0.75 0.194911\nName: 6203, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21973594459517057, std values: 0.9163207446212532, min values: -2.576018450691392, max values: 4.0, median values: 0.3208220545354344, and quantile values: 0.25 -0.325180\n0.50 0.320822\n0.75 0.848193\nName: 6204, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15914587906822739, std values: 1.3713190870596947, min values: -3.0223671288921072, max values: 3.8226908388056136, median values: -0.3164706144478028, and quantile values: 0.25 -1.381920\n0.50 -0.316471\n0.75 1.027085\nName: 6205, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3036372595089886, std values: 0.9846044940552083, min values: -2.7510671817729784, max values: 6.0, median values: -0.3274743200235117, and quantile values: 0.25 -0.948467\n0.50 -0.327474\n0.75 0.283869\nName: 6206, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02646743580075797, std values: 1.0008861974755074, min values: -2.879968592907284, max values: 4.0, median values: -0.0591338110154613, and quantile values: 0.25 -0.728488\n0.50 -0.059134\n0.75 0.652627\nName: 6207, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6163266406274699, std values: 1.1218214843222152, min values: -2.6122411453164007, max values: 4.0, median values: 0.8054761998041985, and quantile values: 0.25 -0.129095\n0.50 0.805476\n0.75 1.513002\nName: 6208, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24000720875313641, std values: 1.087401221923042, min values: -2.572123985342288, max values: 4.0, median values: 0.1989843564899605, and quantile values: 0.25 -0.644656\n0.50 0.198984\n0.75 0.998358\nName: 6209, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.057231733354750104, std values: 0.9694637219421532, min values: -2.6652153608723106, max values: 5.0, median values: 0.0159183951969912, and quantile values: 0.25 -0.710649\n0.50 0.015918\n0.75 0.600530\nName: 6210, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2858793607769036, std values: 0.7808992346284426, min values: -1.85059637042, max values: 3.280245386470253, median values: 0.3108598804714138, and quantile values: 0.25 -0.225333\n0.50 0.310860\n0.75 0.755888\nName: 6211, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31485263069861397, std values: 0.9514956392620136, min values: -2.5682675825126706, max values: 5.0, median values: -0.4602278681467222, and quantile values: 0.25 -1.020300\n0.50 -0.460228\n0.75 0.281104\nName: 6212, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3275552931844776, std values: 0.8400443974978705, min values: -2.221724767747256, max values: 5.0, median values: -0.4498321562046714, and quantile values: 0.25 -0.919377\n0.50 -0.449832\n0.75 0.176037\nName: 6213, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.46540107664985336, std values: 0.7864639255268342, min values: -2.5759052915632985, max values: 3.132053530264631, median values: 0.505548099997495, and quantile values: 0.25 -0.043832\n0.50 0.505548\n0.75 1.004907\nName: 6214, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0034446176166438745, std values: 1.0524107292542157, min values: -2.1178374075792616, max values: 3.9905524164385566, median values: 0.0998797924862223, and quantile values: 0.25 -0.799851\n0.50 0.099880\n0.75 0.819749\nName: 6215, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05777268728226555, std values: 0.9284850505916393, min values: -2.106402139749333, max values: 6.0, median values: -0.1696792371966382, and quantile values: 0.25 -0.775068\n0.50 -0.169679\n0.75 0.590319\nName: 6216, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27481016894503185, std values: 1.008221188256072, min values: -2.1136270387555465, max values: 3.0362913622068968, median values: 0.2101186901535049, and quantile values: 0.25 -0.496678\n0.50 0.210119\n0.75 1.112048\nName: 6217, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.045674197739061034, std values: 0.7999220566468956, min values: -2.031872582714462, max values: 3.066111439712683, median values: -0.1247347308384427, and quantile values: 0.25 -0.606591\n0.50 -0.124735\n0.75 0.480858\nName: 6218, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.027026827187235217, std values: 1.0230215616216487, min values: -2.8350118695332047, max values: 5.0, median values: 0.1450609981336565, and quantile values: 0.25 -0.619886\n0.50 0.145061\n0.75 0.777413\nName: 6219, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2652654316760162, std values: 0.8833843687894167, min values: -2.6117120822772133, max values: 5.0, median values: 0.2153864269341826, and quantile values: 0.25 -0.361785\n0.50 0.215386\n0.75 0.859286\nName: 6220, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.022027122896466973, std values: 1.0245982280543446, min values: -2.58513369695146, max values: 4.278004674434932, median values: -0.0561377855816, and quantile values: 0.25 -0.704057\n0.50 -0.056138\n0.75 0.605491\nName: 6221, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24735697332943182, std values: 0.8022648048083633, min values: -2.5122218748354936, max values: 3.0, median values: -0.2718759230884053, and quantile values: 0.25 -0.740570\n0.50 -0.271876\n0.75 0.237935\nName: 6222, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5728197615048571, std values: 0.9569174546094101, min values: -2.209283142861864, max values: 6.0, median values: 0.5900238098277036, and quantile values: 0.25 -0.128271\n0.50 0.590024\n0.75 1.296276\nName: 6223, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39991190271574184, std values: 0.8761460427581546, min values: -2.099755160224712, max values: 5.0, median values: -0.5261392284572173, and quantile values: 0.25 -1.109636\n0.50 -0.526139\n0.75 0.207951\nName: 6224, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26801769017041105, std values: 0.7943276842521184, min values: -2.0490968263769656, max values: 3.0533207538164056, median values: 0.3265503575670306, and quantile values: 0.25 -0.246841\n0.50 0.326550\n0.75 0.779402\nName: 6225, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04637329426113139, std values: 0.7612416418901206, min values: -2.589966702820638, max values: 6.0, median values: -0.129499981438018, and quantile values: 0.25 -0.562216\n0.50 -0.129500\n0.75 0.414953\nName: 6226, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45803039898992043, std values: 1.2865639199316221, min values: -2.739804196611005, max values: 6.0, median values: 0.3863465381523113, and quantile values: 0.25 -0.527315\n0.50 0.386347\n0.75 1.507060\nName: 6227, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21155528964276868, std values: 0.7699689139755337, min values: -2.0672068655195748, max values: 4.0, median values: -0.2711901591233177, and quantile values: 0.25 -0.724651\n0.50 -0.271190\n0.75 0.248658\nName: 6228, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.030138057373696195, std values: 0.8076029197266668, min values: -2.1771945950534657, max values: 3.3760121766849016, median values: -0.033898370385222, and quantile values: 0.25 -0.498792\n0.50 -0.033898\n0.75 0.533872\nName: 6229, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2521379175295691, std values: 0.992034536888438, min values: -2.837386543755612, max values: 4.0, median values: -0.3406656423451436, and quantile values: 0.25 -0.910544\n0.50 -0.340666\n0.75 0.360876\nName: 6230, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3395300125300835, std values: 0.9275960301350545, min values: -3.598076523509849, max values: 2.985133931273498, median values: -0.4572715035299714, and quantile values: 0.25 -0.959876\n0.50 -0.457272\n0.75 0.179105\nName: 6231, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23079242981422277, std values: 0.9197722000207031, min values: -2.579952672199424, max values: 6.0, median values: 0.2067132680809954, and quantile values: 0.25 -0.395428\n0.50 0.206713\n0.75 0.766244\nName: 6232, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37758188521025904, std values: 1.009622485661327, min values: -2.5743883495350026, max values: 5.0, median values: -0.4795321674368807, and quantile values: 0.25 -1.075288\n0.50 -0.479532\n0.75 0.184781\nName: 6233, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15566704652185565, std values: 0.804625133043879, min values: -2.15645541897611, max values: 4.0, median values: -0.1590667006923397, and quantile values: 0.25 -0.705660\n0.50 -0.159067\n0.75 0.332015\nName: 6234, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31810949390414467, std values: 0.8805306307289675, min values: -2.7648443048846945, max values: 2.876502173242564, median values: 0.3751071879543058, and quantile values: 0.25 -0.322664\n0.50 0.375107\n0.75 0.981302\nName: 6235, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21325675424589347, std values: 0.9997572786291702, min values: -2.622709665346679, max values: 3.0, median values: -0.0636907547253872, and quantile values: 0.25 -0.713446\n0.50 -0.063691\n0.75 0.483141\nName: 6236, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5247520109642925, std values: 0.7987314373660911, min values: -1.9811722310795352, max values: 6.0, median values: 0.5668168847380674, and quantile values: 0.25 0.026992\n0.50 0.566817\n0.75 1.030495\nName: 6237, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27479719680273546, std values: 1.1007450277773703, min values: -2.9622221028070275, max values: 4.0, median values: -0.1487356239197715, and quantile values: 0.25 -0.842132\n0.50 -0.148736\n0.75 0.465961\nName: 6238, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2883349351084201, std values: 0.9488652807499103, min values: -2.642042398333877, max values: 3.3760121766849016, median values: 0.3822078693847949, and quantile values: 0.25 -0.280688\n0.50 0.382208\n0.75 0.986192\nName: 6239, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1413739029929235, std values: 0.7540721543773282, min values: -2.7314147016889114, max values: 3.3483277116524426, median values: -0.1875346160951389, and quantile values: 0.25 -0.641017\n0.50 -0.187535\n0.75 0.297342\nName: 6240, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2382212418187086, std values: 0.8407591427730914, min values: -2.5825978442440407, max values: 6.0, median values: -0.2719616525679781, and quantile values: 0.25 -0.802149\n0.50 -0.271962\n0.75 0.224302\nName: 6241, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09252275835102411, std values: 0.818889936807322, min values: -2.1057850514779166, max values: 3.477886732511886, median values: 0.0689491721762598, and quantile values: 0.25 -0.477287\n0.50 0.068949\n0.75 0.676808\nName: 6242, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11093672688922307, std values: 0.7927968554518914, min values: -2.525881048269423, max values: 3.163266084685921, median values: -0.1816563060206366, and quantile values: 0.25 -0.636387\n0.50 -0.181656\n0.75 0.325702\nName: 6243, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0863862002132771, std values: 0.8193026675054936, min values: -2.57895707818966, max values: 6.0, median values: -0.0779600760014625, and quantile values: 0.25 -0.563194\n0.50 -0.077960\n0.75 0.394687\nName: 6244, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1293045352850841, std values: 0.7971905790629649, min values: -2.42090096078233, max values: 5.0, median values: -0.155895820828227, and quantile values: 0.25 -0.657775\n0.50 -0.155896\n0.75 0.348410\nName: 6245, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36557191794405114, std values: 0.9213885514331311, min values: -2.788272971802125, max values: 6.0, median values: -0.4427304173612077, and quantile values: 0.25 -1.004633\n0.50 -0.442730\n0.75 0.194599\nName: 6246, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.017910453970303757, std values: 0.8757561871353762, min values: -2.279638670509252, max values: 6.0, median values: -0.0567890335061121, and quantile values: 0.25 -0.569142\n0.50 -0.056789\n0.75 0.530509\nName: 6247, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24081854663761867, std values: 0.8551534421103693, min values: -2.9090251609554527, max values: 6.0, median values: -0.2154530742855105, and quantile values: 0.25 -0.727170\n0.50 -0.215453\n0.75 0.283637\nName: 6248, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.9103132437339145, std values: 0.9124651568341179, min values: -2.0558865589498763, max values: 3.438667023696733, median values: 0.8671692829586304, and quantile values: 0.25 0.318086\n0.50 0.867169\n0.75 1.506029\nName: 6249, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07580668962548445, std values: 0.8980420744676423, min values: -3.1070421433302986, max values: 3.1047159712539405, median values: -0.0038555133802637, and quantile values: 0.25 -0.466896\n0.50 -0.003856\n0.75 0.625313\nName: 6250, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13420304207561398, std values: 0.7267594027972234, min values: -2.3893642989164, max values: 2.904599483626477, median values: -0.1864976857609464, and quantile values: 0.25 -0.622291\n0.50 -0.186498\n0.75 0.297147\nName: 6251, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.000805237411639606, std values: 1.0205332274516852, min values: -2.6278943940336483, max values: 4.0, median values: -0.0966261972642519, and quantile values: 0.25 -0.711801\n0.50 -0.096626\n0.75 0.690830\nName: 6252, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4004591817348584, std values: 0.8874675433186071, min values: -2.1736726278778096, max values: 3.5021977227593246, median values: 0.4347798133671158, and quantile values: 0.25 -0.220342\n0.50 0.434780\n0.75 0.988904\nName: 6253, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15051411978539264, std values: 0.937401532612496, min values: -1.997532106478724, max values: 6.0, median values: -0.2818663731346503, and quantile values: 0.25 -0.878577\n0.50 -0.281866\n0.75 0.458978\nName: 6254, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2795424821266801, std values: 0.7669948383117163, min values: -2.1917224322967392, max values: 3.627976272701048, median values: 0.2748398896832856, and quantile values: 0.25 -0.203374\n0.50 0.274840\n0.75 0.766213\nName: 6255, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5737816368615912, std values: 1.0200544536628864, min values: -2.5682675825126706, max values: 5.0, median values: 0.6348248907500224, and quantile values: 0.25 -0.218601\n0.50 0.634825\n0.75 1.394473\nName: 6256, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3904231837567324, std values: 1.0326752635799068, min values: -2.001572802478312, max values: 6.0, median values: 0.2758501661137489, and quantile values: 0.25 -0.415237\n0.50 0.275850\n0.75 1.149363\nName: 6257, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3159916428418978, std values: 0.9945273216186564, min values: -2.1269862447630747, max values: 3.405671179043623, median values: 0.4199047428542584, and quantile values: 0.25 -0.422433\n0.50 0.419905\n0.75 1.026364\nName: 6258, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39916847206052714, std values: 0.8021487218498746, min values: -2.1238235090034925, max values: 4.0, median values: 0.474765032918657, and quantile values: 0.25 -0.055144\n0.50 0.474765\n0.75 0.915641\nName: 6259, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.018398220771046535, std values: 0.9812618192302418, min values: -2.688157591415518, max values: 5.0, median values: -0.0942688077767435, and quantile values: 0.25 -0.712813\n0.50 -0.094269\n0.75 0.654551\nName: 6260, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1462883656715113, std values: 0.9343491347195494, min values: -2.196708653609315, max values: 6.0, median values: -0.1770902678156345, and quantile values: 0.25 -0.906549\n0.50 -0.177090\n0.75 0.518725\nName: 6261, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3663115231051693, std values: 0.9542131555658964, min values: -2.801183634509044, max values: 5.0, median values: -0.2873975273136032, and quantile values: 0.25 -0.914303\n0.50 -0.287398\n0.75 0.237397\nName: 6262, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05302162870598749, std values: 0.8076842053928301, min values: -2.688157591415518, max values: 5.0, median values: 0.0044063043478466, and quantile values: 0.25 -0.454205\n0.50 0.004406\n0.75 0.552939\nName: 6263, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4916696331002641, std values: 0.8625902799393201, min values: -2.0258339246740453, max values: 6.0, median values: 0.5448333927934296, and quantile values: 0.25 -0.118663\n0.50 0.544833\n0.75 1.171446\nName: 6264, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37900156020297904, std values: 0.8571024930470199, min values: -2.5879430435308, max values: 3.0651860794139534, median values: -0.5089477658926538, and quantile values: 0.25 -1.005637\n0.50 -0.508948\n0.75 0.152655\nName: 6265, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.1634807489080679, std values: 1.2397604723449176, min values: -3.21990804472754, max values: 5.0, median values: -1.6662449501988654, and quantile values: 0.25 -2.137148\n0.50 -1.666245\n0.75 -0.215133\nName: 6266, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39656507641058303, std values: 1.0384842739008608, min values: -2.9622221028070275, max values: 6.0, median values: 0.4849481327545903, and quantile values: 0.25 -0.146063\n0.50 0.484948\n0.75 1.032389\nName: 6267, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1678675755116793, std values: 0.8009944535252385, min values: -2.36120258340179, max values: 5.0, median values: -0.1812238244509703, and quantile values: 0.25 -0.708729\n0.50 -0.181224\n0.75 0.305160\nName: 6268, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.400187597402989, std values: 0.8401268176284888, min values: -1.9014723792311985, max values: 4.0, median values: 0.4551209412888328, and quantile values: 0.25 -0.194117\n0.50 0.455121\n0.75 1.045714\nName: 6269, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.021209547764487937, std values: 0.8057374852857435, min values: -2.6652153608723106, max values: 5.0, median values: -0.0605886500370481, and quantile values: 0.25 -0.495609\n0.50 -0.060589\n0.75 0.486939\nName: 6270, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11145797518506156, std values: 0.788238243274499, min values: -2.053612783201618, max values: 4.0, median values: 0.1461743119923906, and quantile values: 0.25 -0.418251\n0.50 0.146174\n0.75 0.626808\nName: 6271, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25980382360237747, std values: 0.8264616365041175, min values: -2.476285024008804, max values: 4.243835016543704, median values: -0.3258275065367593, and quantile values: 0.25 -0.838849\n0.50 -0.325828\n0.75 0.226166\nName: 6272, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13020975540311217, std values: 0.8086750345706274, min values: -2.476285024008804, max values: 3.0, median values: 0.0985497299417246, and quantile values: 0.25 -0.396937\n0.50 0.098550\n0.75 0.618618\nName: 6273, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2595035130187075, std values: 0.9418473552958554, min values: -2.9898739724800576, max values: 2.9534763778843827, median values: -0.3614565134976025, and quantile values: 0.25 -0.898019\n0.50 -0.361457\n0.75 0.343644\nName: 6274, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06309288914397575, std values: 0.9353886822438475, min values: -2.0965109964186563, max values: 3.784832159836258, median values: 0.0929687753845907, and quantile values: 0.25 -0.656004\n0.50 0.092969\n0.75 0.745870\nName: 6275, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23969036331739582, std values: 1.154962609938986, min values: -2.87684958111886, max values: 3.3483277116524426, median values: 0.4035381083400898, and quantile values: 0.25 -0.559777\n0.50 0.403538\n0.75 1.118717\nName: 6276, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38935317819814674, std values: 0.9700735694240197, min values: -2.1180797445897666, max values: 2.7478534422020777, median values: 0.3321395436792563, and quantile values: 0.25 -0.377093\n0.50 0.332140\n0.75 1.201801\nName: 6277, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.021172148810913734, std values: 0.9026865229743504, min values: -2.0384258727554823, max values: 5.0, median values: -0.0652317867284044, and quantile values: 0.25 -0.646840\n0.50 -0.065232\n0.75 0.613688\nName: 6278, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09797199036257284, std values: 1.0632943907941865, min values: -2.673549169958716, max values: 6.0, median values: 0.2097245504480837, and quantile values: 0.25 -0.655371\n0.50 0.209725\n0.75 0.888334\nName: 6279, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.351403898306262, std values: 0.7587037283386371, min values: -2.082591134335169, max values: 4.0, median values: 0.3591867443841463, and quantile values: 0.25 -0.118780\n0.50 0.359187\n0.75 0.835398\nName: 6280, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43594933214363624, std values: 0.9908434863419336, min values: -2.869671295224012, max values: 6.0, median values: -0.5268667993877484, and quantile values: 0.25 -1.156536\n0.50 -0.526867\n0.75 0.210935\nName: 6281, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3194178990715742, std values: 1.0007846151036124, min values: -3.101800431129944, max values: 6.0, median values: -0.3706050041440946, and quantile values: 0.25 -0.910752\n0.50 -0.370605\n0.75 0.306941\nName: 6282, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47344880932747824, std values: 0.8050194754768069, min values: -2.8998169811239416, max values: 2.9014037851367123, median values: 0.5062733507142099, and quantile values: 0.25 -0.071305\n0.50 0.506273\n0.75 1.048384\nName: 6283, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11441614499310568, std values: 0.9521656583345056, min values: -2.590643619371846, max values: 4.0, median values: 0.2419031662693033, and quantile values: 0.25 -0.394889\n0.50 0.241903\n0.75 0.734389\nName: 6284, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07797223007020318, std values: 0.7958497822866943, min values: -2.6635706018350787, max values: 3.415255285860171, median values: 0.163119835340669, and quantile values: 0.25 -0.473125\n0.50 0.163120\n0.75 0.639462\nName: 6285, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10236135539711219, std values: 0.9623732513790603, min values: -2.622408470084112, max values: 3.306454397423372, median values: -0.0399977448655507, and quantile values: 0.25 -0.631307\n0.50 -0.039998\n0.75 0.486845\nName: 6286, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.043427201875267954, std values: 0.8492498270418849, min values: -2.113406475564999, max values: 3.17157439250477, median values: -0.0227494347126152, and quantile values: 0.25 -0.665630\n0.50 -0.022749\n0.75 0.500506\nName: 6287, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11703574410551001, std values: 0.8054606635800428, min values: -2.1012159016010257, max values: 3.2696814875916886, median values: -0.1161643385030493, and quantile values: 0.25 -0.660964\n0.50 -0.116164\n0.75 0.383512\nName: 6288, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2692567294832478, std values: 1.137543476911838, min values: -2.8350118695332047, max values: 5.0, median values: 0.2380788381824957, and quantile values: 0.25 -0.390071\n0.50 0.238079\n0.75 1.016330\nName: 6289, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3631820243889057, std values: 0.8343664191338286, min values: -3.2266531185902174, max values: 4.243835016543704, median values: -0.3535706962712687, and quantile values: 0.25 -0.866832\n0.50 -0.353571\n0.75 0.143892\nName: 6290, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38714566064212946, std values: 1.006965964174274, min values: -2.623568901859613, max values: 4.0, median values: -0.3579067541494886, and quantile values: 0.25 -1.134835\n0.50 -0.357907\n0.75 0.338828\nName: 6291, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10014145256359736, std values: 0.7970820668530649, min values: -2.6685266729136536, max values: 5.0, median values: -0.0976717800668827, and quantile values: 0.25 -0.652502\n0.50 -0.097672\n0.75 0.392287\nName: 6292, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4317634082079319, std values: 0.8077107798478493, min values: -2.3922473154067863, max values: 5.0, median values: 0.4463416533006735, and quantile values: 0.25 -0.114954\n0.50 0.446342\n0.75 0.990051\nName: 6293, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3056697113167836, std values: 0.88711268277831, min values: -2.608390851963037, max values: 5.0, median values: -0.2737601042571022, and quantile values: 0.25 -0.895062\n0.50 -0.273760\n0.75 0.228534\nName: 6294, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.023981695206816627, std values: 1.026810342334902, min values: -2.623568901859613, max values: 4.278004674434932, median values: 0.0758448741935084, and quantile values: 0.25 -0.753457\n0.50 0.075845\n0.75 0.771207\nName: 6295, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08746287125432675, std values: 0.8448340353053945, min values: -2.643887016977268, max values: 6.0, median values: -0.0781442270045277, and quantile values: 0.25 -0.591610\n0.50 -0.078144\n0.75 0.431090\nName: 6296, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18259249797213725, std values: 1.002440533115836, min values: -2.842043939794492, max values: 3.627976272701048, median values: -0.2538305694064763, and quantile values: 0.25 -0.894282\n0.50 -0.253831\n0.75 0.517461\nName: 6297, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10163078961010959, std values: 0.952663870356344, min values: -2.5501488616953263, max values: 3.0, median values: 0.0070776625463084, and quantile values: 0.25 -0.602286\n0.50 0.007078\n0.75 0.783351\nName: 6298, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07136260244758931, std values: 0.8866212896683275, min values: -2.623568901859613, max values: 4.0, median values: 0.1515075865648112, and quantile values: 0.25 -0.442626\n0.50 0.151508\n0.75 0.628385\nName: 6299, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04043919649825066, std values: 0.7721486386109048, min values: -2.109016651938832, max values: 5.0, median values: 0.0216751364627177, and quantile values: 0.25 -0.482477\n0.50 0.021675\n0.75 0.527478\nName: 6300, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07095824919285766, std values: 0.7397982089141022, min values: -2.120963982024631, max values: 3.9048392686725855, median values: -0.0667934724358616, and quantile values: 0.25 -0.570568\n0.50 -0.066793\n0.75 0.371593\nName: 6301, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.48436110772170754, std values: 0.9115515844293789, min values: -2.7939007019027, max values: 3.132053530264631, median values: -0.576780750583583, and quantile values: 0.25 -1.181942\n0.50 -0.576781\n0.75 0.160441\nName: 6302, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3697761072023281, std values: 0.9016804214292989, min values: -2.115173867494283, max values: 5.0, median values: 0.4284018163617551, and quantile values: 0.25 -0.272790\n0.50 0.428402\n0.75 1.067827\nName: 6303, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.432339851156123, std values: 1.0179001383087747, min values: -2.5953860446419177, max values: 5.0, median values: 0.5907935285148896, and quantile values: 0.25 -0.176781\n0.50 0.590794\n0.75 1.136398\nName: 6304, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.48798885939391073, std values: 0.903269116711239, min values: -2.2915911556076085, max values: 4.026668017837955, median values: 0.511707792070485, and quantile values: 0.25 -0.178005\n0.50 0.511708\n0.75 1.229712\nName: 6305, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5666766797575954, std values: 0.925445540863116, min values: -2.579952672199424, max values: 6.0, median values: -0.6841325769682222, and quantile values: 0.25 -1.326667\n0.50 -0.684133\n0.75 0.031841\nName: 6306, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30148854386728824, std values: 0.7699120542919562, min values: -2.232245079481282, max values: 5.0, median values: -0.4048230848284664, and quantile values: 0.25 -0.839073\n0.50 -0.404823\n0.75 0.181464\nName: 6307, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36438404849152795, std values: 0.8896215987888464, min values: -2.7884838087481176, max values: 6.0, median values: -0.3078939347966771, and quantile values: 0.25 -0.983777\n0.50 -0.307894\n0.75 0.204041\nName: 6308, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.377688804257853, std values: 1.3327231394067172, min values: -2.697026421440041, max values: 4.0, median values: -0.2528395056386757, and quantile values: 0.25 -1.698851\n0.50 -0.252840\n0.75 0.625569\nName: 6309, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1730960850520498, std values: 0.818068286310178, min values: -2.8889090019311845, max values: 5.0, median values: 0.1757966341647666, and quantile values: 0.25 -0.389022\n0.50 0.175797\n0.75 0.691739\nName: 6310, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10074985777460346, std values: 0.8566203234846527, min values: -1.922103227964836, max values: 6.0, median values: 0.0184359577795643, and quantile values: 0.25 -0.550160\n0.50 0.018436\n0.75 0.677683\nName: 6311, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.017806020228675522, std values: 0.9610223799633794, min values: -2.8531572940820533, max values: 3.155170554159904, median values: -0.1030967569836208, and quantile values: 0.25 -0.701546\n0.50 -0.103097\n0.75 0.660418\nName: 6312, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5453918148576731, std values: 1.018911227462344, min values: -3.21990804472754, max values: 5.0, median values: -0.6186596417585892, and quantile values: 0.25 -1.253209\n0.50 -0.618660\n0.75 0.116783\nName: 6313, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0597256029960343, std values: 0.8444946012666147, min values: -2.31228061136681, max values: 3.3636961113187773, median values: -0.1163071067321094, and quantile values: 0.25 -0.622843\n0.50 -0.116307\n0.75 0.434975\nName: 6314, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14392593955801478, std values: 0.8312621926578265, min values: -2.7825548156447035, max values: 6.0, median values: -0.1645433164799888, and quantile values: 0.25 -0.716192\n0.50 -0.164543\n0.75 0.375137\nName: 6315, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3461022269225862, std values: 1.039303907975475, min values: -2.622709665346679, max values: 3.055874031381882, median values: 0.4338719159118684, and quantile values: 0.25 -0.352715\n0.50 0.433872\n0.75 1.151070\nName: 6316, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6416757982285615, std values: 0.9328706621158009, min values: -2.029466906679781, max values: 3.5021977227593246, median values: 0.6795113997263811, and quantile values: 0.25 -0.019664\n0.50 0.679511\n0.75 1.285317\nName: 6317, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2180727884752046, std values: 1.0360532920137542, min values: -2.933035609461076, max values: 5.0, median values: -0.1041562024314975, and quantile values: 0.25 -0.951754\n0.50 -0.104156\n0.75 0.499535\nName: 6318, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1955573927185658, std values: 0.86762129116021, min values: -2.7510671817729784, max values: 6.0, median values: 0.2916184558411787, and quantile values: 0.25 -0.322655\n0.50 0.291618\n0.75 0.745943\nName: 6319, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1877984997942245, std values: 0.924794450999844, min values: -2.623568901859613, max values: 4.0, median values: -0.2045320715744034, and quantile values: 0.25 -0.774845\n0.50 -0.204532\n0.75 0.440478\nName: 6320, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2794792973624344, std values: 1.03728534996188, min values: -3.074005993202373, max values: 3.4758930087721422, median values: -0.3184220705715924, and quantile values: 0.25 -0.975352\n0.50 -0.318422\n0.75 0.448442\nName: 6321, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01217238482506033, std values: 1.181410013684656, min values: -2.92272757463548, max values: 6.0, median values: 0.1506947874126011, and quantile values: 0.25 -0.645148\n0.50 0.150695\n0.75 0.910183\nName: 6322, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35840555001102614, std values: 1.1197339678451963, min values: -2.8350118695332047, max values: 5.0, median values: -0.1714778022942885, and quantile values: 0.25 -1.003539\n0.50 -0.171478\n0.75 0.388377\nName: 6323, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.028119111565885983, std values: 0.9418083758783403, min values: -2.572123985342288, max values: 4.0, median values: -0.1213878100194952, and quantile values: 0.25 -0.705836\n0.50 -0.121388\n0.75 0.561162\nName: 6324, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6206267082745472, std values: 0.8252415585482684, min values: -2.6117120822772133, max values: 5.0, median values: 0.7024231983951467, and quantile values: 0.25 0.092258\n0.50 0.702423\n0.75 1.204575\nName: 6325, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2212455382158089, std values: 0.9241324734164498, min values: -2.87684958111886, max values: 3.3760121766849016, median values: -0.1976905425621972, and quantile values: 0.25 -0.918403\n0.50 -0.197691\n0.75 0.376969\nName: 6326, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23153806674164956, std values: 0.8115691416171207, min values: -2.8121055320525654, max values: 5.0, median values: 0.1690392535732343, and quantile values: 0.25 -0.273362\n0.50 0.169039\n0.75 0.725509\nName: 6327, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17369108193531488, std values: 0.8670810945681298, min values: -2.4902145713898545, max values: 3.709787027503053, median values: -0.279886049182056, and quantile values: 0.25 -0.772854\n0.50 -0.279886\n0.75 0.360296\nName: 6328, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17197402558874805, std values: 0.7466098037092801, min values: -1.890123511127132, max values: 3.041094191308108, median values: -0.1902820579179385, and quantile values: 0.25 -0.683105\n0.50 -0.190282\n0.75 0.258555\nName: 6329, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.036762238713626265, std values: 0.8650675903278141, min values: -1.9714657939353928, max values: 6.0, median values: -0.117393781775928, and quantile values: 0.25 -0.666544\n0.50 -0.117394\n0.75 0.542943\nName: 6330, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05938851650121551, std values: 0.8230678398293625, min values: -2.8680719719444903, max values: 2.9166889260756235, median values: -0.0176795302999497, and quantile values: 0.25 -0.565293\n0.50 -0.017680\n0.75 0.422306\nName: 6331, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.377656202734068, std values: 0.7745028620255605, min values: -2.02241615711966, max values: 5.0, median values: -0.4815482278775283, and quantile values: 0.25 -0.925344\n0.50 -0.481548\n0.75 0.096150\nName: 6332, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0990118974156279, std values: 0.8782630456760432, min values: -2.099713839971814, max values: 5.0, median values: 0.0619755666128001, and quantile values: 0.25 -0.489606\n0.50 0.061976\n0.75 0.574461\nName: 6333, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16496208472336688, std values: 0.8442380597201491, min values: -2.137685238195388, max values: 5.0, median values: -0.2066804770825153, and quantile values: 0.25 -0.733434\n0.50 -0.206680\n0.75 0.305507\nName: 6334, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3923583294579945, std values: 0.982188735019778, min values: -2.584593648802428, max values: 3.8226908388056136, median values: 0.5200502794071232, and quantile values: 0.25 -0.279657\n0.50 0.520050\n0.75 1.146978\nName: 6335, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02383342401809854, std values: 0.8321956997845587, min values: -2.0549757734273486, max values: 3.258347009006034, median values: -0.1093835708481529, and quantile values: 0.25 -0.614555\n0.50 -0.109384\n0.75 0.505924\nName: 6336, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5916090070552555, std values: 0.9474771892419951, min values: -2.815821936576896, max values: 3.0, median values: -0.6422725673076467, and quantile values: 0.25 -1.198962\n0.50 -0.642273\n0.75 0.006429\nName: 6337, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1368697414650132, std values: 1.192415297909158, min values: -2.815821936576896, max values: 3.397048482165858, median values: -0.1638077161668651, and quantile values: 0.25 -0.899258\n0.50 -0.163808\n0.75 0.713720\nName: 6338, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05981725701229292, std values: 0.9270714548644524, min values: -2.0584000508488227, max values: 6.0, median values: 0.070503929482152, and quantile values: 0.25 -0.611066\n0.50 0.070504\n0.75 0.666928\nName: 6339, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2346777639550864, std values: 0.8505620556731995, min values: -2.119621483749997, max values: 3.0, median values: -0.27459166396678, and quantile values: 0.25 -0.914888\n0.50 -0.274592\n0.75 0.347825\nName: 6340, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08707445906968349, std values: 1.2276810753879446, min values: -2.525881048269423, max values: 3.4217036547572275, median values: -0.1166728391871778, and quantile values: 0.25 -0.922700\n0.50 -0.116673\n0.75 0.990138\nName: 6341, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5368397675319607, std values: 0.7595311852924278, min values: -2.043287858674072, max values: 6.0, median values: -0.6225245414872871, and quantile values: 0.25 -1.057477\n0.50 -0.622525\n0.75 -0.127403\nName: 6342, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.9571500226595747, std values: 0.944205192446184, min values: -1.997911883973804, max values: 4.0, median values: 1.1276176423140984, and quantile values: 0.25 0.374812\n0.50 1.127618\n0.75 1.643019\nName: 6343, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23490473370283407, std values: 0.8660904100100951, min values: -2.321103531050575, max values: 4.0, median values: 0.3401421807504267, and quantile values: 0.25 -0.372048\n0.50 0.340142\n0.75 0.854603\nName: 6344, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2792884146288489, std values: 0.8606252875500197, min values: -2.3771558481240653, max values: 4.0, median values: 0.2445026633101981, and quantile values: 0.25 -0.286444\n0.50 0.244503\n0.75 0.824056\nName: 6345, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1694185602790737, std values: 0.7388126171685906, min values: -1.8647871662242927, max values: 2.921039391187937, median values: -0.2522294986739534, and quantile values: 0.25 -0.685524\n0.50 -0.252229\n0.75 0.276509\nName: 6346, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06146092506556954, std values: 1.1345826695469117, min values: -2.6320986139293034, max values: 3.17157439250477, median values: 0.1905538578155171, and quantile values: 0.25 -0.641750\n0.50 0.190554\n0.75 0.925232\nName: 6347, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30828226559584626, std values: 0.7986663122392846, min values: -2.130013130592229, max values: 5.0, median values: -0.3364077677626467, and quantile values: 0.25 -0.862007\n0.50 -0.336408\n0.75 0.152990\nName: 6348, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0931764050889029, std values: 0.7546107595002176, min values: -2.919359491767569, max values: 6.0, median values: -0.1009012103290157, and quantile values: 0.25 -0.557406\n0.50 -0.100901\n0.75 0.331740\nName: 6349, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07568905268067383, std values: 0.8130559743534966, min values: -2.121861109115061, max values: 2.9128356588262627, median values: 0.0212894971034278, and quantile values: 0.25 -0.464304\n0.50 0.021289\n0.75 0.589359\nName: 6350, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04817827585584656, std values: 0.7821737509474996, min values: -1.9051793866692528, max values: 3.0046625681201315, median values: -0.0637144372331914, and quantile values: 0.25 -0.562520\n0.50 -0.063714\n0.75 0.424149\nName: 6351, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3548051694690947, std values: 0.8786651796021483, min values: -2.5953860446419177, max values: 3.2071942083719924, median values: -0.4884069087031022, and quantile values: 0.25 -0.985566\n0.50 -0.488407\n0.75 0.184929\nName: 6352, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2292860188767514, std values: 1.6020669687213178, min values: -2.769191083399913, max values: 3.496479817235339, median values: 0.2096270353576722, and quantile values: 0.25 -0.863876\n0.50 0.209627\n0.75 1.642090\nName: 6353, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.011525086544795483, std values: 0.8808631504592084, min values: -2.739804196611005, max values: 6.0, median values: 0.0657837560510685, and quantile values: 0.25 -0.600545\n0.50 0.065784\n0.75 0.701145\nName: 6354, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6082989195175442, std values: 0.8585406624322237, min values: -2.160205614279508, max values: 5.0, median values: -0.7219155272842368, and quantile values: 0.25 -1.277094\n0.50 -0.721916\n0.75 -0.109909\nName: 6355, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09172942843664386, std values: 0.7939814693890236, min values: -2.39180940730784, max values: 4.0, median values: 0.1400417828728342, and quantile values: 0.25 -0.487821\n0.50 0.140042\n0.75 0.656653\nName: 6356, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0709529077873033, std values: 0.797577061831975, min values: -2.673549169958716, max values: 6.0, median values: -0.140275779015114, and quantile values: 0.25 -0.623427\n0.50 -0.140276\n0.75 0.428643\nName: 6357, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.295004246632177, std values: 0.8416988480863886, min values: -2.119621483749997, max values: 3.3337116327022187, median values: -0.4414273873122811, and quantile values: 0.25 -0.932329\n0.50 -0.441427\n0.75 0.259507\nName: 6358, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39942965120455126, std values: 0.7465288706204831, min values: -2.7884838087481176, max values: 3.0, median values: -0.4130993304192851, and quantile values: 0.25 -0.926977\n0.50 -0.413099\n0.75 0.070773\nName: 6359, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23583767242412595, std values: 0.9677102023135189, min values: -2.687115288423959, max values: 5.0, median values: 0.1882914222042578, and quantile values: 0.25 -0.332010\n0.50 0.188291\n0.75 0.851512\nName: 6360, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18270435511933597, std values: 0.9383033737501609, min values: -2.226424194672579, max values: 4.0, median values: -0.2909007537985658, and quantile values: 0.25 -0.964480\n0.50 -0.290901\n0.75 0.504125\nName: 6361, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1027633270656311, std values: 1.088565423798827, min values: -2.7542003929097176, max values: 5.0, median values: -0.0452625414849045, and quantile values: 0.25 -0.661889\n0.50 -0.045263\n0.75 0.593929\nName: 6362, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20004127849752792, std values: 0.8388007956104203, min values: -2.4705236352348297, max values: 3.5908526919299577, median values: -0.2907307699147256, and quantile values: 0.25 -0.807114\n0.50 -0.290731\n0.75 0.324083\nName: 6363, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.028872790156746663, std values: 0.8148964306791288, min values: -2.1205160578498776, max values: 2.9166889260756235, median values: -0.0196918814172823, and quantile values: 0.25 -0.609157\n0.50 -0.019692\n0.75 0.511394\nName: 6364, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24205070983683546, std values: 1.0944427305366415, min values: -2.9109251266226006, max values: 4.278004674434932, median values: -0.1418333993947657, and quantile values: 0.25 -0.859286\n0.50 -0.141833\n0.75 0.467793\nName: 6365, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19089652559348522, std values: 0.9353755146384348, min values: -2.4737574649270093, max values: 3.1485882570365185, median values: 0.2412651735730634, and quantile values: 0.25 -0.533245\n0.50 0.241265\n0.75 0.944201\nName: 6366, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12044022515241536, std values: 0.8606882286489502, min values: -2.45229857681487, max values: 3.867701659180865, median values: -0.2223038032437926, and quantile values: 0.25 -0.681226\n0.50 -0.222304\n0.75 0.374684\nName: 6367, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.052670668896327766, std values: 0.9208114240909786, min values: -2.87684958111886, max values: 3.438667023696733, median values: 0.0770774663001736, and quantile values: 0.25 -0.531682\n0.50 0.077077\n0.75 0.633695\nName: 6368, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.48457586326044255, std values: 0.7894321330470067, min values: -1.8541349797327529, max values: 5.0, median values: 0.5694554065667433, and quantile values: 0.25 0.002121\n0.50 0.569455\n0.75 0.974171\nName: 6369, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21107814909579034, std values: 0.7896890443802386, min values: -2.841647375415054, max values: 5.0, median values: -0.1709391802396106, and quantile values: 0.25 -0.782303\n0.50 -0.170939\n0.75 0.297976\nName: 6370, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36878545490513215, std values: 0.996480310889276, min values: -2.623568901859613, max values: 4.0, median values: 0.4615447510912412, and quantile values: 0.25 -0.311679\n0.50 0.461545\n0.75 1.178807\nName: 6371, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45580068523765843, std values: 0.8252401574917615, min values: -2.9278427058120164, max values: 6.0, median values: -0.5109550200350343, and quantile values: 0.25 -1.006734\n0.50 -0.510955\n0.75 0.026854\nName: 6372, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4347938319786573, std values: 0.7840152951742799, min values: -2.4657737907743, max values: 3.867701659180865, median values: -0.5074123471712452, and quantile values: 0.25 -0.980537\n0.50 -0.507412\n0.75 0.016238\nName: 6373, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.032595554681335515, std values: 0.9090635836846841, min values: -2.56026492390943, max values: 4.0, median values: -0.0627757618688141, and quantile values: 0.25 -0.652559\n0.50 -0.062776\n0.75 0.527341\nName: 6374, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3479777996552602, std values: 0.8536558976476648, min values: -1.9934734841108936, max values: 6.0, median values: 0.4270910419465406, and quantile values: 0.25 -0.207782\n0.50 0.427091\n0.75 0.914914\nName: 6375, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.017366287519966633, std values: 0.8375662755211285, min values: -2.739804196611005, max values: 6.0, median values: 0.0956796615557373, and quantile values: 0.25 -0.506379\n0.50 0.095680\n0.75 0.557240\nName: 6376, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2059168424901784, std values: 0.8384221926991448, min values: -2.841647375415054, max values: 3.162318759909359, median values: 0.1098610605104715, and quantile values: 0.25 -0.355962\n0.50 0.109861\n0.75 0.729961\nName: 6377, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4781756737742552, std values: 1.140164232515097, min values: -2.879968592907284, max values: 4.0, median values: -0.3221036100724888, and quantile values: 0.25 -1.227500\n0.50 -0.322104\n0.75 0.331840\nName: 6378, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09585005485166347, std values: 0.8171030966131677, min values: -1.9780458604416296, max values: 5.0, median values: 0.026213667291128, and quantile values: 0.25 -0.436476\n0.50 0.026214\n0.75 0.586292\nName: 6379, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15143589595236978, std values: 0.8234332211359964, min values: -2.7314147016889114, max values: 3.5427287984042666, median values: -0.1704920834094672, and quantile values: 0.25 -0.705360\n0.50 -0.170492\n0.75 0.294379\nName: 6380, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.049919173817058675, std values: 0.9927578431570968, min values: -2.876502173242568, max values: 2.989910119779402, median values: -0.0251024798165495, and quantile values: 0.25 -0.618752\n0.50 -0.025102\n0.75 0.623130\nName: 6381, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.316095305918788, std values: 0.7535073943478637, min values: -2.783691185534105, max values: 3.438667023696733, median values: 0.313986770347161, and quantile values: 0.25 -0.164383\n0.50 0.313987\n0.75 0.770169\nName: 6382, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.248484722862118, std values: 0.8860333968792757, min values: -2.11291809854392, max values: 3.477886732511886, median values: 0.3259770479423745, and quantile values: 0.25 -0.349844\n0.50 0.325977\n0.75 0.821194\nName: 6383, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6197658711963213, std values: 0.8312070163713908, min values: -1.9788256412357303, max values: 4.278004674434932, median values: 0.7216395237488705, and quantile values: 0.25 0.135216\n0.50 0.721640\n0.75 1.180353\nName: 6384, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46084368992113894, std values: 0.8415443394994468, min values: -2.2463030001514643, max values: 3.1801075704642923, median values: -0.579741921715215, and quantile values: 0.25 -1.134614\n0.50 -0.579742\n0.75 0.081966\nName: 6385, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0672715524930754, std values: 0.8664968312880867, min values: -3.1175233493066874, max values: 3.760287110694155, median values: 0.0444474989927129, and quantile values: 0.25 -0.447407\n0.50 0.044447\n0.75 0.623160\nName: 6386, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26044048724316216, std values: 0.9274438130822455, min values: -3.307038206418975, max values: 3.103622965243153, median values: -0.3910620362045615, and quantile values: 0.25 -0.963630\n0.50 -0.391062\n0.75 0.345280\nName: 6387, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05251858975650229, std values: 0.7982487416548723, min values: -2.0632349629260616, max values: 4.0, median values: 0.1013803723195125, and quantile values: 0.25 -0.529970\n0.50 0.101380\n0.75 0.611265\nName: 6388, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5445532016714376, std values: 1.2293234549850365, min values: -2.8467638118011016, max values: 5.0, median values: -0.6696759894330503, and quantile values: 0.25 -1.328862\n0.50 -0.669676\n0.75 0.138514\nName: 6389, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10004597908845295, std values: 0.9751167758476589, min values: -2.622709665346679, max values: 3.0876051304901218, median values: 0.1984769206204147, and quantile values: 0.25 -0.432208\n0.50 0.198477\n0.75 0.755104\nName: 6390, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.541058697830708, std values: 0.8055760651054316, min values: -1.8752678946933208, max values: 3.132053530264631, median values: 0.5663274975169328, and quantile values: 0.25 0.045252\n0.50 0.566327\n0.75 1.038040\nName: 6391, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.9091056095250883, std values: 1.0490032133762879, min values: -2.300042081328127, max values: 4.0, median values: 1.0005359735868746, and quantile values: 0.25 0.121925\n0.50 1.000536\n0.75 1.730863\nName: 6392, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1643837623533832, std values: 1.0775348467605028, min values: -2.119621483749997, max values: 3.260388056018088, median values: 0.1768288374898041, and quantile values: 0.25 -0.717365\n0.50 0.176829\n0.75 0.976037\nName: 6393, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18349186715606544, std values: 0.9443359614109793, min values: -2.769191083399913, max values: 3.4217036547572275, median values: -0.1075786986032644, and quantile values: 0.25 -0.663419\n0.50 -0.107579\n0.75 0.408951\nName: 6394, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2371995400475746, std values: 0.9308446044494598, min values: -2.341109181654904, max values: 4.0, median values: -0.35933800463893, and quantile values: 0.25 -0.948899\n0.50 -0.359338\n0.75 0.415804\nName: 6395, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5211553784061003, std values: 1.1523359200061376, min values: -2.63315074164461, max values: 6.0, median values: 0.7029068192722283, and quantile values: 0.25 -0.038730\n0.50 0.702907\n0.75 1.260489\nName: 6396, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13988928778431983, std values: 0.8296382296421466, min values: -2.422675917011138, max values: 2.95782096138206, median values: -0.1559558626262318, and quantile values: 0.25 -0.751483\n0.50 -0.155956\n0.75 0.384870\nName: 6397, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2795821721067873, std values: 0.9376929403940283, min values: -2.732564679617164, max values: 3.0097288687560817, median values: 0.3714164158342426, and quantile values: 0.25 -0.307736\n0.50 0.371416\n0.75 0.989945\nName: 6398, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1666621094877946, std values: 0.9763712334020443, min values: -2.2915911556076085, max values: 4.278004674434932, median values: 0.154137919588605, and quantile values: 0.25 -0.626923\n0.50 0.154138\n0.75 0.892057\nName: 6399, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11404947694538915, std values: 0.964673738320885, min values: -2.072108449798908, max values: 6.0, median values: -0.3054981009810082, and quantile values: 0.25 -0.837117\n0.50 -0.305498\n0.75 0.491626\nName: 6400, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2599508130452522, std values: 0.9868573421112761, min values: -2.7428415536925543, max values: 5.0, median values: -0.2636265768212514, and quantile values: 0.25 -0.967905\n0.50 -0.263627\n0.75 0.418382\nName: 6401, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.002598601528573066, std values: 0.7515658653111624, min values: -2.028412867843044, max values: 6.0, median values: -0.0537274979701327, and quantile values: 0.25 -0.511842\n0.50 -0.053727\n0.75 0.478790\nName: 6402, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22294336547057925, std values: 0.9373281116667826, min values: -2.560041333834972, max values: 3.8226908388056136, median values: 0.1486799329098598, and quantile values: 0.25 -0.502751\n0.50 0.148680\n0.75 0.897985\nName: 6403, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11099847172418048, std values: 0.934941835462981, min values: -2.4823451998031074, max values: 3.047545592545638, median values: 0.1880995426339037, and quantile values: 0.25 -0.518973\n0.50 0.188100\n0.75 0.807649\nName: 6404, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3794311700409983, std values: 0.8307149244818842, min values: -2.541693081833126, max values: 3.0, median values: -0.4451554391533331, and quantile values: 0.25 -0.989752\n0.50 -0.445155\n0.75 0.139063\nName: 6405, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06055610770992705, std values: 0.750898294290476, min values: -2.196708653609315, max values: 6.0, median values: -0.0063340843578873, and quantile values: 0.25 -0.474758\n0.50 -0.006334\n0.75 0.556559\nName: 6406, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07919044405769111, std values: 0.8516809942083504, min values: -2.687115288423959, max values: 5.0, median values: -0.0900373607249139, and quantile values: 0.25 -0.632456\n0.50 -0.090037\n0.75 0.429489\nName: 6407, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18568192150332674, std values: 0.8616890732537162, min values: -2.5122218748354936, max values: 3.110498035652072, median values: 0.2849417438408, and quantile values: 0.25 -0.305779\n0.50 0.284942\n0.75 0.764882\nName: 6408, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11899623389127166, std values: 0.8552868104045764, min values: -3.424801219647557, max values: 3.076680642207697, median values: -0.1770929197245254, and quantile values: 0.25 -0.646665\n0.50 -0.177093\n0.75 0.404136\nName: 6409, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5496055694102333, std values: 1.0643055452987302, min values: -1.9145140322412408, max values: 3.076680642207697, median values: 0.3914379814443073, and quantile values: 0.25 -0.278867\n0.50 0.391438\n0.75 1.436550\nName: 6410, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17492046491988691, std values: 0.7306652956420847, min values: -2.4125199145038643, max values: 4.0, median values: -0.2362922647970564, and quantile values: 0.25 -0.664360\n0.50 -0.236292\n0.75 0.289917\nName: 6411, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09653598605203727, std values: 0.8838748099703551, min values: -2.1098479262714123, max values: 3.0, median values: -0.131454578338073, and quantile values: 0.25 -0.777115\n0.50 -0.131455\n0.75 0.536381\nName: 6412, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01646521573419853, std values: 0.7726149514950105, min values: -2.0110523292439657, max values: 5.0, median values: -0.0611569300569041, and quantile values: 0.25 -0.510415\n0.50 -0.061157\n0.75 0.490166\nName: 6413, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.025793974486317716, std values: 0.9809512967421788, min values: -2.64479559868397, max values: 6.0, median values: -0.1142609871900167, and quantile values: 0.25 -0.820345\n0.50 -0.114261\n0.75 0.686870\nName: 6414, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4909373651956855, std values: 0.9585264073133485, min values: -2.0884920198234647, max values: 3.0, median values: 0.4860649471882946, and quantile values: 0.25 -0.234530\n0.50 0.486065\n0.75 1.290456\nName: 6415, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35821194946347984, std values: 0.9036754371707871, min values: -2.0697574862023345, max values: 3.0, median values: -0.4823238357100104, and quantile values: 0.25 -1.090291\n0.50 -0.482324\n0.75 0.286050\nName: 6416, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6541259437879059, std values: 0.8525551393581088, min values: -2.4564928597243227, max values: 4.0, median values: 0.7609298370365289, and quantile values: 0.25 0.061451\n0.50 0.760930\n0.75 1.294270\nName: 6417, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08275868266193277, std values: 0.8022509598915859, min values: -2.045067891820054, max values: 5.0, median values: -0.129118654590082, and quantile values: 0.25 -0.619318\n0.50 -0.129119\n0.75 0.382800\nName: 6418, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38085339043196326, std values: 0.9598378520789479, min values: -2.2881806161535643, max values: 3.8226908388056136, median values: 0.3408407551545086, and quantile values: 0.25 -0.270596\n0.50 0.340841\n0.75 1.057876\nName: 6419, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46939298911718336, std values: 1.0230594354622307, min values: -2.160415784529872, max values: 4.0, median values: -0.6582443789641627, and quantile values: 0.25 -1.293983\n0.50 -0.658244\n0.75 0.155477\nName: 6420, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07448242662221362, std values: 0.8199403370328047, min values: -2.5689076212724418, max values: 5.0, median values: -0.0298311684978546, and quantile values: 0.25 -0.658328\n0.50 -0.029831\n0.75 0.465368\nName: 6421, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2116330609845837, std values: 0.9335853898353844, min values: -2.0085619686347487, max values: 5.0, median values: 0.1959959642695813, and quantile values: 0.25 -0.535842\n0.50 0.195996\n0.75 0.918151\nName: 6422, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6903442318584244, std values: 0.896495067847799, min values: -2.730840794324401, max values: 3.0, median values: -0.8405641869664257, and quantile values: 0.25 -1.366276\n0.50 -0.840564\n0.75 -0.131002\nName: 6423, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7041780415157354, std values: 1.1404922129520823, min values: -2.7542003929097176, max values: 5.0, median values: 0.9218153149535304, and quantile values: 0.25 -0.028081\n0.50 0.921815\n0.75 1.570355\nName: 6424, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03400081546276967, std values: 0.963464677442511, min values: -3.1070421433302986, max values: 3.9905524164385566, median values: -0.0634656176099763, and quantile values: 0.25 -0.671934\n0.50 -0.063466\n0.75 0.608579\nName: 6425, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2825989630821001, std values: 0.9190173430300823, min values: -2.5689076212724418, max values: 5.0, median values: 0.2812516196979375, and quantile values: 0.25 -0.298036\n0.50 0.281252\n0.75 0.791762\nName: 6426, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1816252998549496, std values: 0.8722412141920881, min values: -2.6635706018350787, max values: 3.434669824302974, median values: -0.232527509163037, and quantile values: 0.25 -0.782191\n0.50 -0.232528\n0.75 0.413207\nName: 6427, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1824613924653551, std values: 0.8016474563117556, min values: -3.3364384128287203, max values: 3.00464355837442, median values: -0.2361506723621642, and quantile values: 0.25 -0.725941\n0.50 -0.236151\n0.75 0.306191\nName: 6428, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09601529508508948, std values: 0.9247526487621684, min values: -2.1339124271310608, max values: 3.4758930087721422, median values: -0.2323932032905564, and quantile values: 0.25 -0.707285\n0.50 -0.232393\n0.75 0.455855\nName: 6429, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04313277380628882, std values: 1.062887105174565, min values: -2.6800544037614658, max values: 4.0, median values: 0.1204246222378463, and quantile values: 0.25 -0.646316\n0.50 0.120425\n0.75 0.700277\nName: 6430, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14453278821103444, std values: 0.8265788929816654, min values: -2.0806681251243795, max values: 5.0, median values: -0.265157667151707, and quantile values: 0.25 -0.718638\n0.50 -0.265158\n0.75 0.357026\nName: 6431, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17634282652790692, std values: 0.7245332145055235, min values: -2.024977263287256, max values: 3.2328207660681025, median values: 0.1536117682452714, and quantile values: 0.25 -0.296332\n0.50 0.153612\n0.75 0.597448\nName: 6432, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1938516478692038, std values: 0.9284042858369184, min values: -2.102258330765142, max values: 6.0, median values: -0.3058532509061066, and quantile values: 0.25 -0.929126\n0.50 -0.305853\n0.75 0.413747\nName: 6433, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3183864056819443, std values: 0.7564912554992396, min values: -1.9855028624470672, max values: 3.0, median values: -0.4233661667598846, and quantile values: 0.25 -0.841844\n0.50 -0.423366\n0.75 0.136797\nName: 6434, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14882597109742665, std values: 0.7290516390679295, min values: -2.088894678224596, max values: 4.0, median values: 0.1461067147338464, and quantile values: 0.25 -0.330267\n0.50 0.146107\n0.75 0.608133\nName: 6435, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2980889691957602, std values: 1.1152536644076085, min values: -2.981718296512785, max values: 5.0, median values: -0.3099447859255186, and quantile values: 0.25 -1.029485\n0.50 -0.309945\n0.75 0.386729\nName: 6436, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29114204204699334, std values: 0.9140674051689665, min values: -2.6820581866633817, max values: 3.2936960268109283, median values: -0.2519611253538454, and quantile values: 0.25 -0.843349\n0.50 -0.251961\n0.75 0.258871\nName: 6437, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1181728872341807, std values: 0.8040055699804047, min values: -2.12073996675014, max values: 3.0, median values: 0.0795070651360304, and quantile values: 0.25 -0.486384\n0.50 0.079507\n0.75 0.644843\nName: 6438, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.460419277827291, std values: 0.8640407738759017, min values: -2.5624611946462936, max values: 5.0, median values: -0.5155910872041701, and quantile values: 0.25 -1.089820\n0.50 -0.515591\n0.75 0.079728\nName: 6439, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.1383252387944984, std values: 1.1985882255857705, min values: -3.3364384128287203, max values: 3.5021977227593246, median values: -1.46526832159812, and quantile values: 0.25 -2.002773\n0.50 -1.465268\n0.75 -0.309396\nName: 6440, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16472158441138807, std values: 0.8596798510160675, min values: -2.019021851668823, max values: 6.0, median values: 0.21695306478884, and quantile values: 0.25 -0.445946\n0.50 0.216953\n0.75 0.761751\nName: 6441, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33314988481855257, std values: 1.059180502045248, min values: -2.239623753934863, max values: 3.5021977227593246, median values: -0.4647889048454771, and quantile values: 0.25 -1.240149\n0.50 -0.464789\n0.75 0.440932\nName: 6442, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24863208147469681, std values: 0.7864502759744424, min values: -2.102076355619645, max values: 5.0, median values: -0.2552244222847417, and quantile values: 0.25 -0.816974\n0.50 -0.255224\n0.75 0.233235\nName: 6443, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0042431114586181365, std values: 0.8931119558038149, min values: -2.0353567906974, max values: 2.767597764299235, median values: 0.0396118889217837, and quantile values: 0.25 -0.658123\n0.50 0.039612\n0.75 0.676081\nName: 6444, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36709378110766255, std values: 0.9804074740861642, min values: -2.1067975134574946, max values: 6.0, median values: 0.3691371555096726, and quantile values: 0.25 -0.366052\n0.50 0.369137\n0.75 1.099865\nName: 6445, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7375047676757941, std values: 0.8989139266184267, min values: -2.7871422803648627, max values: 3.306454397423372, median values: -0.8912130682862044, and quantile values: 0.25 -1.433123\n0.50 -0.891213\n0.75 -0.185791\nName: 6446, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1166893359628982, std values: 0.962974296512254, min values: -2.031005372878356, max values: 3.0315977762793005, median values: 0.111192701859499, and quantile values: 0.25 -0.637979\n0.50 0.111193\n0.75 0.868735\nName: 6447, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10902654019097048, std values: 1.4265698667198243, min values: -2.842989614395848, max values: 5.0, median values: 0.1671399368961087, and quantile values: 0.25 -1.426727\n0.50 0.167140\n0.75 0.995551\nName: 6448, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09732890436381339, std values: 0.8287254483651885, min values: -2.342819280743469, max values: 5.0, median values: -0.0866104474426997, and quantile values: 0.25 -0.685405\n0.50 -0.086610\n0.75 0.392568\nName: 6449, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.029422267481376708, std values: 0.770676168767679, min values: -2.537573835824454, max values: 6.0, median values: -0.1001410754616306, and quantile values: 0.25 -0.517934\n0.50 -0.100141\n0.75 0.447072\nName: 6450, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5967955414560984, std values: 1.361374480648271, min values: -2.9622221028070275, max values: 6.0, median values: -0.4338585210156864, and quantile values: 0.25 -1.863728\n0.50 -0.433859\n0.75 0.554758\nName: 6451, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07172802030140076, std values: 0.8643295078136964, min values: -2.580492024304656, max values: 4.0, median values: -0.1357469293510498, and quantile values: 0.25 -0.649053\n0.50 -0.135747\n0.75 0.432692\nName: 6452, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.008338029191390879, std values: 0.9444083504076333, min values: -2.6404955031131814, max values: 5.0, median values: 0.028081481569305, and quantile values: 0.25 -0.584502\n0.50 0.028081\n0.75 0.608702\nName: 6453, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.053619453269791624, std values: 0.8375007818671323, min values: -2.7939007019027, max values: 3.155170554159904, median values: 0.0572740672811367, and quantile values: 0.25 -0.437627\n0.50 0.057274\n0.75 0.556633\nName: 6454, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.439989795389554, std values: 0.9431831723547832, min values: -2.9109251266226006, max values: 3.071284484560209, median values: -0.3779055441136957, and quantile values: 0.25 -1.067326\n0.50 -0.377906\n0.75 0.203326\nName: 6455, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5245317936259498, std values: 1.3065696176022208, min values: -2.93129584560762, max values: 6.0, median values: 0.6306009581733611, and quantile values: 0.25 -0.260680\n0.50 0.630601\n0.75 1.541646\nName: 6456, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5535907976042732, std values: 1.054225985156326, min values: -2.769191083399913, max values: 3.867701659180865, median values: -0.5564621415620359, and quantile values: 0.25 -1.263169\n0.50 -0.556462\n0.75 0.182233\nName: 6457, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11556153970771278, std values: 0.8472167663027926, min values: -1.846021918239128, max values: 5.0, median values: 0.0520430276759866, and quantile values: 0.25 -0.534854\n0.50 0.052043\n0.75 0.692506\nName: 6458, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43151737913171867, std values: 0.7985306935657697, min values: -2.507723364852832, max values: 3.8226908388056136, median values: 0.366052201558816, and quantile values: 0.25 -0.069091\n0.50 0.366052\n0.75 0.923248\nName: 6459, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19124872056569148, std values: 0.7727110277023213, min values: -2.0664852352279466, max values: 5.0, median values: -0.1927203831819725, and quantile values: 0.25 -0.746861\n0.50 -0.192720\n0.75 0.310263\nName: 6460, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04970669016259579, std values: 0.9559289449144313, min values: -2.160984325879425, max values: 6.0, median values: -0.0010399183839272, and quantile values: 0.25 -0.580969\n0.50 -0.001040\n0.75 0.627326\nName: 6461, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42981843062018626, std values: 0.8035737190565211, min values: -2.4657737907743, max values: 3.247416277295021, median values: 0.4991291257900365, and quantile values: 0.25 -0.079286\n0.50 0.499129\n0.75 0.969534\nName: 6462, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6394877910062046, std values: 1.035835043435567, min values: -2.7211321814067784, max values: 3.415255285860171, median values: -0.6814206479076376, and quantile values: 0.25 -1.398735\n0.50 -0.681421\n0.75 0.033378\nName: 6463, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01825100338502723, std values: 0.8990847069979442, min values: -2.622709665346679, max values: 3.1888787873512885, median values: -0.0495818633970205, and quantile values: 0.25 -0.566715\n0.50 -0.049582\n0.75 0.541163\nName: 6464, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3681717745937919, std values: 0.9013540490270927, min values: -2.5859127503381347, max values: 3.0, median values: -0.4099611210651849, and quantile values: 0.25 -1.048764\n0.50 -0.409961\n0.75 0.212822\nName: 6465, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3066261016811719, std values: 0.8880273262260425, min values: -2.589966702820638, max values: 6.0, median values: 0.3737779239118601, and quantile values: 0.25 -0.276558\n0.50 0.373778\n0.75 0.874982\nName: 6466, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18598405646060506, std values: 0.9853909530963935, min values: -2.605844844843939, max values: 4.0, median values: 0.2875025064833632, and quantile values: 0.25 -0.439578\n0.50 0.287503\n0.75 0.894528\nName: 6467, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19434193059501056, std values: 0.9027185806579558, min values: -2.623568901859613, max values: 4.0, median values: -0.2344519315162221, and quantile values: 0.25 -0.762707\n0.50 -0.234452\n0.75 0.371415\nName: 6468, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20586164995407402, std values: 0.9765448236873256, min values: -2.6820581866633817, max values: 3.5021977227593246, median values: -0.2713330160886533, and quantile values: 0.25 -0.774767\n0.50 -0.271333\n0.75 0.419243\nName: 6469, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08930817830272766, std values: 0.9443119156428873, min values: -3.0687217584296813, max values: 3.00464355837442, median values: 0.2366931736656131, and quantile values: 0.25 -0.507005\n0.50 0.236693\n0.75 0.736374\nName: 6470, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03203860672579438, std values: 0.8460492611354183, min values: -2.109891368636471, max values: 6.0, median values: -0.0653421789976333, and quantile values: 0.25 -0.629975\n0.50 -0.065342\n0.75 0.456404\nName: 6471, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.044512017563049754, std values: 1.140202323025992, min values: -2.6652153608723106, max values: 5.0, median values: 0.0041596847817671, and quantile values: 0.25 -0.817111\n0.50 0.004160\n0.75 0.796670\nName: 6472, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17007122109067646, std values: 1.000866311249891, min values: -2.6800544037614658, max values: 4.0, median values: -0.1627849467387941, and quantile values: 0.25 -0.736996\n0.50 -0.162785\n0.75 0.470816\nName: 6473, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19098072760234278, std values: 0.9505281665910592, min values: -2.9029979285382743, max values: 6.0, median values: 0.1074444562684723, and quantile values: 0.25 -0.452313\n0.50 0.107444\n0.75 0.703824\nName: 6474, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15506470674936307, std values: 0.7860740221718051, min values: -1.950742600071545, max values: 5.0, median values: 0.0891253955255947, and quantile values: 0.25 -0.364208\n0.50 0.089125\n0.75 0.611065\nName: 6475, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7973239151231986, std values: 0.8408074753163259, min values: -2.419659473655063, max values: 4.0, median values: -0.9988184060663547, and quantile values: 0.25 -1.421993\n0.50 -0.998818\n0.75 -0.337166\nName: 6476, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7131727624410746, std values: 0.9481091145246362, min values: -2.916688926075616, max values: 6.0, median values: -0.6892657357941786, and quantile values: 0.25 -1.464789\n0.50 -0.689266\n0.75 -0.077988\nName: 6477, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44357613288385994, std values: 0.9226994570988666, min values: -2.497627580948261, max values: 3.0, median values: -0.3874272906008537, and quantile values: 0.25 -1.045890\n0.50 -0.387427\n0.75 0.133799\nName: 6478, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07790706692509135, std values: 0.9206658101340769, min values: -2.684072796644972, max values: 6.0, median values: 0.0199948735092449, and quantile values: 0.25 -0.585820\n0.50 0.019995\n0.75 0.505816\nName: 6479, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1689658358414871, std values: 0.7238902908585296, min values: -1.988675962110902, max values: 2.6943127391900434, median values: -0.2281441627921382, and quantile values: 0.25 -0.627268\n0.50 -0.228144\n0.75 0.240097\nName: 6480, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38772253574501175, std values: 0.7487172548581695, min values: -2.566149343918479, max values: 6.0, median values: -0.4613423848443193, and quantile values: 0.25 -0.884588\n0.50 -0.461342\n0.75 -0.000881\nName: 6481, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21901515996828586, std values: 0.8064627730943145, min values: -2.461308921153724, max values: 3.5427287984042666, median values: 0.1666652021890074, and quantile values: 0.25 -0.304056\n0.50 0.166665\n0.75 0.724615\nName: 6482, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3923149654198729, std values: 1.027031383979793, min values: -3.0960472541202715, max values: 6.0, median values: 0.5306990641551245, and quantile values: 0.25 -0.182353\n0.50 0.530699\n0.75 1.095143\nName: 6483, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2413175657453797, std values: 0.8223824789450351, min values: -2.1695974540436334, max values: 4.0, median values: -0.333407594116028, and quantile values: 0.25 -0.851585\n0.50 -0.333408\n0.75 0.296999\nName: 6484, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15601069362658201, std values: 0.7788997801749641, min values: -2.1232100101643527, max values: 6.0, median values: -0.2521244818667664, and quantile values: 0.25 -0.677050\n0.50 -0.252124\n0.75 0.301922\nName: 6485, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.029198417238853133, std values: 0.9413285845111141, min values: -2.7428415536925543, max values: 5.0, median values: 0.0356483816648562, and quantile values: 0.25 -0.570428\n0.50 0.035648\n0.75 0.671037\nName: 6486, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5918295169010868, std values: 1.226727600567717, min values: -2.9109251266226006, max values: 3.0, median values: -0.3491122319878184, and quantile values: 0.25 -1.639551\n0.50 -0.349112\n0.75 0.327348\nName: 6487, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2757528922401973, std values: 0.8646887039662497, min values: -2.079782423457438, max values: 3.784832159836258, median values: 0.2400320281952243, and quantile values: 0.25 -0.272305\n0.50 0.240032\n0.75 0.817667\nName: 6488, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2593448640414164, std values: 1.146652877223733, min values: -2.134449825097116, max values: 3.4217036547572275, median values: 0.1311208313240915, and quantile values: 0.25 -0.623188\n0.50 0.131121\n0.75 1.020300\nName: 6489, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.122262239348648, std values: 0.8776202687995647, min values: -2.536941606705235, max values: 4.0, median values: -0.2223253158481593, and quantile values: 0.25 -0.805283\n0.50 -0.222325\n0.75 0.471382\nName: 6490, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.1001853796187582, std values: 1.3362741054025498, min values: -2.727901130262228, max values: 4.0, median values: -1.7057932347450135, and quantile values: 0.25 -2.140406\n0.50 -1.705793\n0.75 -0.116229\nName: 6491, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04045140926579559, std values: 0.728862468785846, min values: -2.6652153608723106, max values: 3.3483277116524426, median values: 0.0069249651560217, and quantile values: 0.25 -0.431604\n0.50 0.006925\n0.75 0.473094\nName: 6492, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37785206984117964, std values: 1.167599424784464, min values: -2.789830374413015, max values: 3.162318759909359, median values: 0.5281302090953502, and quantile values: 0.25 -0.450434\n0.50 0.528130\n0.75 1.307783\nName: 6493, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14731540494105722, std values: 0.9240251045742218, min values: -2.56026492390943, max values: 4.0, median values: 0.1065090350631474, and quantile values: 0.25 -0.523737\n0.50 0.106509\n0.75 0.803715\nName: 6494, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12461708896816762, std values: 0.763908311724891, min values: -2.090169083820303, max values: 5.0, median values: -0.1009651630229069, and quantile values: 0.25 -0.651469\n0.50 -0.100965\n0.75 0.344051\nName: 6495, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2348896922793621, std values: 1.304959756688288, min values: -2.837386543755612, max values: 4.0, median values: 0.5216472870704053, and quantile values: 0.25 -0.427091\n0.50 0.521647\n0.75 1.088092\nName: 6496, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15007173989801945, std values: 0.8018312446422917, min values: -2.071637340395318, max values: 5.0, median values: 0.1962368984101621, and quantile values: 0.25 -0.384132\n0.50 0.196237\n0.75 0.663845\nName: 6497, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26517254253564043, std values: 0.8292723350315749, min values: -2.016491303607746, max values: 3.5021977227593246, median values: -0.3629454836748301, and quantile values: 0.25 -0.856827\n0.50 -0.362945\n0.75 0.253603\nName: 6498, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3755057289703919, std values: 1.006357236807235, min values: -2.9029979285382743, max values: 3.071284484560209, median values: -0.4755323396899181, and quantile values: 0.25 -1.045856\n0.50 -0.475532\n0.75 0.243605\nName: 6499, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.051187980194161424, std values: 1.0711333786538992, min values: -2.608390851963037, max values: 5.0, median values: 0.0060977399400926, and quantile values: 0.25 -0.529081\n0.50 0.006098\n0.75 0.660859\nName: 6500, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3000461327084001, std values: 0.9071219001054753, min values: -2.576018450691392, max values: 4.0, median values: -0.3591111173386364, and quantile values: 0.25 -0.955017\n0.50 -0.359111\n0.75 0.321245\nName: 6501, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5749610390479338, std values: 0.9802881071341806, min values: -1.9426828178266249, max values: 4.278004674434932, median values: 0.4548588217409529, and quantile values: 0.25 -0.093825\n0.50 0.454859\n0.75 1.195747\nName: 6502, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.161678691205555, std values: 0.8320299845269059, min values: -2.2262971094910258, max values: 3.260388056018088, median values: -0.231834767090689, and quantile values: 0.25 -0.809867\n0.50 -0.231835\n0.75 0.380166\nName: 6503, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.390749156894086, std values: 0.9579304869101357, min values: -2.5682675825126706, max values: 5.0, median values: -0.521716519064936, and quantile values: 0.25 -1.117739\n0.50 -0.521717\n0.75 0.246159\nName: 6504, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.011330396512403829, std values: 1.1221449767009775, min values: -2.949186837165601, max values: 4.0, median values: 0.2211680997658993, and quantile values: 0.25 -0.618545\n0.50 0.221168\n0.75 0.754408\nName: 6505, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0839330961504662, std values: 0.8246977207135123, min values: -2.5953860446419177, max values: 3.0, median values: 0.0272121993854457, and quantile values: 0.25 -0.600578\n0.50 0.027212\n0.75 0.480964\nName: 6506, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2419799257561118, std values: 1.044879120754648, min values: -2.169311742921253, max values: 6.0, median values: -0.2920377207099395, and quantile values: 0.25 -1.127150\n0.50 -0.292038\n0.75 0.497267\nName: 6507, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.061310233921130476, std values: 0.7758707102471958, min values: -2.0257743994943773, max values: 5.0, median values: 0.0188104600552928, and quantile values: 0.25 -0.465105\n0.50 0.018810\n0.75 0.560500\nName: 6508, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1674685401215344, std values: 0.804010912748726, min values: -2.537573835824454, max values: 6.0, median values: 0.1044257792777541, and quantile values: 0.25 -0.383878\n0.50 0.104426\n0.75 0.680242\nName: 6509, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24687053310588813, std values: 0.7952353585351699, min values: -1.9365401337588743, max values: 3.0, median values: 0.1715017868970473, and quantile values: 0.25 -0.268791\n0.50 0.171502\n0.75 0.720575\nName: 6510, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33420879958414745, std values: 0.9964388350242304, min values: -2.7542003929097176, max values: 5.0, median values: -0.3675539076043322, and quantile values: 0.25 -1.184842\n0.50 -0.367554\n0.75 0.388614\nName: 6511, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09993836282037127, std values: 0.9518631029262821, min values: -2.9278427058120164, max values: 6.0, median values: 0.2360090846615609, and quantile values: 0.25 -0.480963\n0.50 0.236009\n0.75 0.760235\nName: 6512, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06338070574243751, std values: 1.4627782072598032, min values: -2.6270253558526173, max values: 4.0, median values: 0.0805862604585369, and quantile values: 0.25 -1.521338\n0.50 0.080586\n0.75 0.979162\nName: 6513, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4153267376782907, std values: 0.8960018793084399, min values: -2.0851554069246285, max values: 3.709787027503053, median values: 0.4558812649210064, and quantile values: 0.25 -0.229671\n0.50 0.455881\n0.75 1.091705\nName: 6514, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3753596432127911, std values: 1.20160483592488, min values: -2.5759052915632985, max values: 3.349054967837474, median values: 0.407604511139801, and quantile values: 0.25 -0.432753\n0.50 0.407605\n0.75 1.341116\nName: 6515, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5981121514799685, std values: 0.8663523005296345, min values: -2.264034258932616, max values: 3.5021977227593246, median values: 0.6474560209806304, and quantile values: 0.25 0.030739\n0.50 0.647456\n0.75 1.194735\nName: 6516, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5033821409150795, std values: 0.9534310206311146, min values: -2.63315074164461, max values: 6.0, median values: -0.6034165765311142, and quantile values: 0.25 -1.218116\n0.50 -0.603417\n0.75 0.128576\nName: 6517, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10888231740938821, std values: 1.4545214099574975, min values: -2.8563982925340614, max values: 4.0, median values: -0.1271603993878754, and quantile values: 0.25 -1.321704\n0.50 -0.127160\n0.75 0.983753\nName: 6518, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6068724374299533, std values: 0.8842949082507108, min values: -2.2915911556076085, max values: 3.224152805256112, median values: 0.6488222696089136, and quantile values: 0.25 0.075229\n0.50 0.648822\n0.75 1.148302\nName: 6519, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0845544464600415, std values: 0.8425871295877417, min values: -2.5825978442440407, max values: 6.0, median values: -0.0918307807442176, and quantile values: 0.25 -0.666146\n0.50 -0.091831\n0.75 0.430727\nName: 6520, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16612696757553946, std values: 0.8306365201042862, min values: -2.374446373878101, max values: 4.0, median values: 0.091735843684039, and quantile values: 0.25 -0.361814\n0.50 0.091736\n0.75 0.680004\nName: 6521, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3036259598361333, std values: 0.8431531395479408, min values: -2.5961021427111413, max values: 3.528773265847577, median values: 0.3691371555096726, and quantile values: 0.25 -0.172965\n0.50 0.369137\n0.75 0.865250\nName: 6522, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11468216221291729, std values: 0.7768085083876666, min values: -2.0845218758782083, max values: 5.0, median values: 0.1484571734796616, and quantile values: 0.25 -0.387849\n0.50 0.148457\n0.75 0.612490\nName: 6523, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16398264468500828, std values: 0.7932982097233024, min values: -2.1232100101643527, max values: 6.0, median values: -0.2374818285919338, and quantile values: 0.25 -0.683819\n0.50 -0.237482\n0.75 0.281347\nName: 6524, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.024800810393175762, std values: 0.8268733009144077, min values: -2.8843374390620142, max values: 6.0, median values: -0.1362240102160224, and quantile values: 0.25 -0.635716\n0.50 -0.136224\n0.75 0.510630\nName: 6525, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17076310066699985, std values: 1.173119900047477, min values: -2.2784747359552378, max values: 6.0, median values: -0.2600356173114296, and quantile values: 0.25 -1.199131\n0.50 -0.260036\n0.75 0.673229\nName: 6526, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5824090414803648, std values: 0.977314529113073, min values: -2.081628667506599, max values: 3.9048392686725855, median values: 0.6242637205303205, and quantile values: 0.25 -0.092305\n0.50 0.624264\n0.75 1.244559\nName: 6527, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1782490651864338, std values: 0.8640117430743542, min values: -2.264034258932616, max values: 3.1801075704642923, median values: 0.2104726944047606, and quantile values: 0.25 -0.457566\n0.50 0.210473\n0.75 0.823008\nName: 6528, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2532960919626177, std values: 0.9639186302538612, min values: -2.610097161345549, max values: 4.0, median values: -0.3292189087166225, and quantile values: 0.25 -0.913633\n0.50 -0.329219\n0.75 0.378803\nName: 6529, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.043411803880853375, std values: 0.7952444720700128, min values: -2.048935494746508, max values: 3.9905524164385566, median values: -0.004112415368516, and quantile values: 0.25 -0.499997\n0.50 -0.004112\n0.75 0.516293\nName: 6530, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08899164436082241, std values: 0.8023516111161928, min values: -2.7648443048846945, max values: 3.434669824302974, median values: -0.0959613558934641, and quantile values: 0.25 -0.591762\n0.50 -0.095961\n0.75 0.380638\nName: 6531, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4461575108376735, std values: 0.9070075781371396, min values: -2.5774281843044924, max values: 4.0, median values: 0.5354606573160262, and quantile values: 0.25 -0.179944\n0.50 0.535461\n0.75 1.101379\nName: 6532, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24225221596498214, std values: 0.8817887928733853, min values: -2.1144606839090367, max values: 5.0, median values: 0.3040556743866437, and quantile values: 0.25 -0.396170\n0.50 0.304056\n0.75 0.877029\nName: 6533, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17597982605693577, std values: 0.745911087987836, min values: -2.5825978442440407, max values: 6.0, median values: -0.2476939759954912, and quantile values: 0.25 -0.688070\n0.50 -0.247694\n0.75 0.260680\nName: 6534, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18679072622430562, std values: 0.8041914795746702, min values: -2.264034258932616, max values: 3.258347009006034, median values: 0.2588393778523772, and quantile values: 0.25 -0.340432\n0.50 0.258839\n0.75 0.758974\nName: 6535, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07886025277598051, std values: 1.0184062300126528, min values: -2.9666813816765707, max values: 4.0, median values: -0.0136874659619697, and quantile values: 0.25 -0.732847\n0.50 -0.013687\n0.75 0.628721\nName: 6536, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42016637635539483, std values: 1.03105365006029, min values: -2.684072796644972, max values: 6.0, median values: -0.438687870737705, and quantile values: 0.25 -1.185418\n0.50 -0.438688\n0.75 0.351220\nName: 6537, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2166853551977815, std values: 1.038108267011064, min values: -2.7211321814067784, max values: 3.096891534584617, median values: -0.2246300812352074, and quantile values: 0.25 -0.866488\n0.50 -0.224630\n0.75 0.473073\nName: 6538, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7725322082325348, std values: 1.4954822396181386, min values: -2.9029979285382743, max values: 3.3337116327022187, median values: -0.9318862820680044, and quantile values: 0.25 -2.152712\n0.50 -0.931886\n0.75 0.548858\nName: 6539, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07554930764236975, std values: 0.9054745819013954, min values: -2.673549169958716, max values: 6.0, median values: -0.0099143151178757, and quantile values: 0.25 -0.607552\n0.50 -0.009914\n0.75 0.482212\nName: 6540, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.015036791679708849, std values: 0.8291474287894549, min values: -2.6899145007874274, max values: 3.319774799707247, median values: 0.024815467755867, and quantile values: 0.25 -0.571792\n0.50 0.024815\n0.75 0.591610\nName: 6541, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15281707268381214, std values: 0.7509889885840154, min values: -2.6117120822772133, max values: 5.0, median values: 0.1133332539155136, and quantile values: 0.25 -0.343293\n0.50 0.113333\n0.75 0.621266\nName: 6542, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3675045013779258, std values: 0.7874715208973421, min values: -1.899227605965076, max values: 3.0, median values: 0.3280264390748565, and quantile values: 0.25 -0.146393\n0.50 0.328026\n0.75 0.881578\nName: 6543, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.392045270176866, std values: 0.808664073279277, min values: -2.799990485600992, max values: 5.0, median values: 0.4191228583608008, and quantile values: 0.25 -0.061617\n0.50 0.419123\n0.75 0.893460\nName: 6544, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3952648614764391, std values: 1.1160925803272792, min values: -2.2915911556076085, max values: 3.336438412828754, median values: 0.2890053688522985, and quantile values: 0.25 -0.503657\n0.50 0.289005\n0.75 1.309381\nName: 6545, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3066249614888421, std values: 0.8052895597252137, min values: -2.439930808627264, max values: 4.0, median values: -0.3937581385593579, and quantile values: 0.25 -0.854646\n0.50 -0.393758\n0.75 0.165576\nName: 6546, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2871134144821078, std values: 0.829605670265581, min values: -2.9898739724800576, max values: 3.162318759909359, median values: -0.273848208107304, and quantile values: 0.25 -0.841641\n0.50 -0.273848\n0.75 0.180215\nName: 6547, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.272898948329339, std values: 0.9083544419592683, min values: -2.100786257316884, max values: 5.0, median values: -0.4182210021896966, and quantile values: 0.25 -0.948178\n0.50 -0.418221\n0.75 0.307028\nName: 6548, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5911509466385024, std values: 0.9717544013480135, min values: -2.601021586733844, max values: 5.0, median values: -0.7691319452507778, and quantile values: 0.25 -1.374263\n0.50 -0.769132\n0.75 0.029526\nName: 6549, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36199063506456036, std values: 0.7880473555860814, min values: -2.732564679617164, max values: 3.1801075704642923, median values: -0.4081132843424448, and quantile values: 0.25 -0.933388\n0.50 -0.408113\n0.75 0.111240\nName: 6550, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37628841947902314, std values: 1.016963729896178, min values: -3.0960472541202715, max values: 6.0, median values: -0.4044404592445695, and quantile values: 0.25 -1.010406\n0.50 -0.404440\n0.75 0.278082\nName: 6551, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11483123992972584, std values: 0.9712106894958837, min values: -2.5743883495350026, max values: 5.0, median values: -0.1812320310323553, and quantile values: 0.25 -0.743326\n0.50 -0.181232\n0.75 0.529051\nName: 6552, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18394897881036004, std values: 0.8956480165753349, min values: -2.2931893157632364, max values: 5.0, median values: 0.2188892584563525, and quantile values: 0.25 -0.453549\n0.50 0.218889\n0.75 0.848706\nName: 6553, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6073072288276159, std values: 1.0195577356743293, min values: -2.6800544037614658, max values: 4.0, median values: -0.6788727342374833, and quantile values: 0.25 -1.418847\n0.50 -0.678873\n0.75 0.127688\nName: 6554, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.029949275639978994, std values: 0.9369447764971257, min values: -2.7871422803648627, max values: 3.721862465295849, median values: 0.0099418557882012, and quantile values: 0.25 -0.511865\n0.50 0.009942\n0.75 0.529897\nName: 6555, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.012897925903048281, std values: 0.8346505723578722, min values: -2.379484990542424, max values: 5.0, median values: -0.0023683831372106, and quantile values: 0.25 -0.615400\n0.50 -0.002368\n0.75 0.557130\nName: 6556, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40441287262876474, std values: 0.7544497182586231, min values: -2.5689076212724418, max values: 5.0, median values: 0.4259278723860176, and quantile values: 0.25 -0.046999\n0.50 0.425928\n0.75 0.878523\nName: 6557, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24530894404570736, std values: 1.285862093347007, min values: -2.558791007225312, max values: 3.022367128892113, median values: -0.0023133043601824, and quantile values: 0.25 -1.451040\n0.50 -0.002313\n0.75 0.754065\nName: 6558, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11625472088868628, std values: 0.8142013836118589, min values: -2.842043939794492, max values: 3.0, median values: 0.0590733318045562, and quantile values: 0.25 -0.429915\n0.50 0.059073\n0.75 0.624595\nName: 6559, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0889612701763735, std values: 0.8657420071408654, min values: -2.5961021427111413, max values: 3.1801075704642923, median values: 0.1418081899178681, and quantile values: 0.25 -0.457994\n0.50 0.141808\n0.75 0.628333\nName: 6560, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05289597019870125, std values: 0.9645338203475375, min values: -2.684072796644972, max values: 6.0, median values: 0.0616996464412012, and quantile values: 0.25 -0.632584\n0.50 0.061700\n0.75 0.577004\nName: 6561, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.029148138777782582, std values: 0.9302628312238989, min values: -2.176605723062392, max values: 3.176672644814091, median values: -0.0319592897204649, and quantile values: 0.25 -0.746015\n0.50 -0.031959\n0.75 0.689625\nName: 6562, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2596671341368509, std values: 1.026455674116629, min values: -2.584593648802428, max values: 3.306454397423372, median values: 0.3747821956226553, and quantile values: 0.25 -0.406258\n0.50 0.374782\n0.75 1.024492\nName: 6563, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7000654968348593, std values: 0.913390098320757, min values: -2.0279821064908434, max values: 3.2701555622463814, median values: 0.7740976121646007, and quantile values: 0.25 0.074950\n0.50 0.774098\n0.75 1.428100\nName: 6564, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06422256596967496, std values: 0.7706222339809312, min values: -2.5774281843044924, max values: 4.0, median values: -0.0773247597207403, and quantile values: 0.25 -0.562097\n0.50 -0.077325\n0.75 0.396195\nName: 6565, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10763818006975293, std values: 0.9031722038579199, min values: -1.9391693691278309, max values: 6.0, median values: -0.180812117315768, and quantile values: 0.25 -0.836101\n0.50 -0.180812\n0.75 0.526487\nName: 6566, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.009515827530731751, std values: 0.8383144108314524, min values: -2.2915911556076085, max values: 3.455472209455805, median values: 0.0515488756589953, and quantile values: 0.25 -0.572488\n0.50 0.051549\n0.75 0.574493\nName: 6567, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18889688197033364, std values: 0.7678853087621732, min values: -2.6115251494731915, max values: 5.0, median values: -0.2916431170608431, and quantile values: 0.25 -0.694851\n0.50 -0.291643\n0.75 0.241875\nName: 6568, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12823968059418353, std values: 0.7575289235324587, min values: -2.8164291268114208, max values: 3.477886732511886, median values: 0.0753234277122933, and quantile values: 0.25 -0.349448\n0.50 0.075323\n0.75 0.556302\nName: 6569, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08739759172340714, std values: 0.9222658889474701, min values: -2.7314147016889114, max values: 3.4217036547572275, median values: 0.1559515730816642, and quantile values: 0.25 -0.397525\n0.50 0.155952\n0.75 0.672141\nName: 6570, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3018971395107509, std values: 0.9250695233617269, min values: -2.572123985342288, max values: 4.0, median values: -0.3894807433558471, and quantile values: 0.25 -1.042911\n0.50 -0.389481\n0.75 0.328994\nName: 6571, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1699044429322788, std values: 1.0977665267881898, min values: -2.4902145713898545, max values: 3.250922035035844, median values: -0.2649128737392173, and quantile values: 0.25 -0.986103\n0.50 -0.264913\n0.75 0.465079\nName: 6572, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31015040800234284, std values: 0.8798879036894828, min values: -1.9861919686919625, max values: 3.2936960268109283, median values: 0.2470673834423384, and quantile values: 0.25 -0.268513\n0.50 0.247067\n0.75 0.886617\nName: 6573, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17654464875361087, std values: 0.7963138460429858, min values: -2.060926614662576, max values: 5.0, median values: -0.2208262730546704, and quantile values: 0.25 -0.747763\n0.50 -0.220826\n0.75 0.293839\nName: 6574, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0026881197665566898, std values: 1.0098841439632484, min values: -2.9622221028070275, max values: 6.0, median values: 0.1499330925093913, and quantile values: 0.25 -0.490973\n0.50 0.149933\n0.75 0.651333\nName: 6575, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4577905015360933, std values: 0.9807219507968129, min values: -2.9472833478224456, max values: 6.0, median values: -0.4196641356896967, and quantile values: 0.25 -1.019894\n0.50 -0.419664\n0.75 0.159828\nName: 6576, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08454344820475586, std values: 1.023939633999934, min values: -2.372995607737588, max values: 5.0, median values: -0.1050349760022345, and quantile values: 0.25 -0.653292\n0.50 -0.105035\n0.75 0.751555\nName: 6577, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19955655060719307, std values: 0.8285315704065945, min values: -2.5631847770497496, max values: 4.0, median values: 0.1608860558228391, and quantile values: 0.25 -0.368226\n0.50 0.160886\n0.75 0.755479\nName: 6578, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23761611475292355, std values: 0.7766864845644816, min values: -2.051061178844881, max values: 5.0, median values: -0.2959615777313562, and quantile values: 0.25 -0.776556\n0.50 -0.295962\n0.75 0.230010\nName: 6579, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14228290362714405, std values: 0.9245640378054972, min values: -2.558791007225312, max values: 3.0, median values: 0.0867765118531418, and quantile values: 0.25 -0.424662\n0.50 0.086777\n0.75 0.752506\nName: 6580, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3507606482150878, std values: 0.7778359470709999, min values: -2.016491303607746, max values: 3.3636961113187773, median values: 0.3873679199398076, and quantile values: 0.25 -0.112376\n0.50 0.387368\n0.75 0.816182\nName: 6581, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7545818489332574, std values: 1.0373104501013475, min values: -3.24173864501462, max values: 3.455472209455805, median values: -0.8603805808103313, and quantile values: 0.25 -1.480800\n0.50 -0.860381\n0.75 -0.108552\nName: 6582, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12305403527646754, std values: 0.9874676208521187, min values: -2.576018450691392, max values: 4.0, median values: 0.0938246515429647, and quantile values: 0.25 -0.490592\n0.50 0.093825\n0.75 0.784440\nName: 6583, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2609970212144862, std values: 0.918416924511511, min values: -2.710223074556336, max values: 4.0, median values: 0.2182357017126773, and quantile values: 0.25 -0.322104\n0.50 0.218236\n0.75 0.806133\nName: 6584, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42794956362284836, std values: 0.8113547051155171, min values: -2.39180940730784, max values: 4.0, median values: -0.5478981916559578, and quantile values: 0.25 -1.034482\n0.50 -0.547898\n0.75 0.070559\nName: 6585, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0024209313571372177, std values: 1.0767509249126224, min values: -2.7428415536925543, max values: 5.0, median values: -0.0422710792498118, and quantile values: 0.25 -0.814074\n0.50 -0.042271\n0.75 0.778762\nName: 6586, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09474058955468158, std values: 0.881050160819751, min values: -2.622408470084112, max values: 3.709787027503053, median values: -0.1043150204071567, and quantile values: 0.25 -0.638584\n0.50 -0.104315\n0.75 0.471616\nName: 6587, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14373616514002227, std values: 1.1695155622287818, min values: -3.124705982383478, max values: 3.236860296211547, median values: 0.2854832872630232, and quantile values: 0.25 -0.635716\n0.50 0.285483\n0.75 1.047852\nName: 6588, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.046953870769112435, std values: 1.0344873218902324, min values: -2.5953860446419177, max values: 5.0, median values: 0.1279100326134117, and quantile values: 0.25 -0.477147\n0.50 0.127910\n0.75 0.658396\nName: 6589, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11888136775830982, std values: 0.98021004789485, min values: -3.2266531185902174, max values: 3.9905524164385566, median values: 0.0632881575471993, and quantile values: 0.25 -0.517178\n0.50 0.063288\n0.75 0.774176\nName: 6590, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.007595180288064567, std values: 0.8134071880002884, min values: -2.5631847770497496, max values: 4.0, median values: -0.0886272402901227, and quantile values: 0.25 -0.602598\n0.50 -0.088627\n0.75 0.524969\nName: 6591, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11445229590184008, std values: 0.8734540327757484, min values: -2.3918342370908485, max values: 4.0, median values: -0.1035397440660743, and quantile values: 0.25 -0.777749\n0.50 -0.103540\n0.75 0.504846\nName: 6592, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0813019330900893, std values: 0.8458902548723025, min values: -2.3771558481240653, max values: 4.0, median values: 0.137917898483984, and quantile values: 0.25 -0.530904\n0.50 0.137918\n0.75 0.680570\nName: 6593, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25868682188192793, std values: 1.0377776944073462, min values: -2.4902145713898545, max values: 3.110498035652072, median values: 0.3057294221289915, and quantile values: 0.25 -0.458951\n0.50 0.305729\n0.75 1.054508\nName: 6594, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24206142715963222, std values: 0.9100886199264657, min values: -2.62876542141649, max values: 2.941870249647763, median values: -0.241449479509997, and quantile values: 0.25 -1.024911\n0.50 -0.241449\n0.75 0.419664\nName: 6595, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06766192220159652, std values: 0.8861532906848272, min values: -2.143127839894852, max values: 3.319774799707247, median values: -0.0141281375913023, and quantile values: 0.25 -0.547879\n0.50 -0.014128\n0.75 0.630091\nName: 6596, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03151018245630761, std values: 0.9829387050394044, min values: -2.6652153608723106, max values: 5.0, median values: 0.1009487206895083, and quantile values: 0.25 -0.653547\n0.50 0.100949\n0.75 0.687588\nName: 6597, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7709446964021834, std values: 0.9298065456573811, min values: -2.541693081833126, max values: 3.250922035035844, median values: 0.8749474131829023, and quantile values: 0.25 0.122331\n0.50 0.874947\n0.75 1.506632\nName: 6598, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21320312763501678, std values: 0.8353291055607429, min values: -2.8121055320525654, max values: 5.0, median values: 0.2272962818652814, and quantile values: 0.25 -0.339316\n0.50 0.227296\n0.75 0.748581\nName: 6599, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45933236059593097, std values: 0.8561687388687234, min values: -2.876502173242568, max values: 3.2936960268109283, median values: -0.5651524819213136, and quantile values: 0.25 -1.055123\n0.50 -0.565152\n0.75 0.056155\nName: 6600, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13314939764902398, std values: 0.7817197995305777, min values: -2.170177418849181, max values: 3.5581019918925243, median values: 0.1638734016460813, and quantile values: 0.25 -0.408676\n0.50 0.163873\n0.75 0.649393\nName: 6601, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16461808651334486, std values: 1.0348057103370885, min values: -2.638186942019407, max values: 4.0, median values: 0.2682770803355404, and quantile values: 0.25 -0.506461\n0.50 0.268277\n0.75 0.900569\nName: 6602, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20732558496081938, std values: 0.9416822671562197, min values: -2.4737574649270093, max values: 3.477886732511886, median values: -0.3322144689156703, and quantile values: 0.25 -0.929720\n0.50 -0.332214\n0.75 0.413927\nName: 6603, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18600544143477316, std values: 0.7945535286554019, min values: -2.006496142360635, max values: 3.438667023696733, median values: 0.1749806060298414, and quantile values: 0.25 -0.353096\n0.50 0.174981\n0.75 0.665287\nName: 6604, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0254573861128564, std values: 0.9195997390233239, min values: -2.8246479422601736, max values: 6.0, median values: 0.1094112754476913, and quantile values: 0.25 -0.546177\n0.50 0.109411\n0.75 0.622224\nName: 6605, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5891964432853625, std values: 1.4535812529784176, min values: -2.7211321814067784, max values: 3.784832159836258, median values: 0.7917587032683612, and quantile values: 0.25 -0.289572\n0.50 0.791759\n0.75 1.700353\nName: 6606, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13036019172693683, std values: 0.8897544991581362, min values: -2.634919142586459, max values: 6.0, median values: 0.1361763007360487, and quantile values: 0.25 -0.491501\n0.50 0.136176\n0.75 0.725539\nName: 6607, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8192079597009204, std values: 1.2894020263010777, min values: -2.210176048035573, max values: 4.278004674434932, median values: 0.6985416870521292, and quantile values: 0.25 -0.128049\n0.50 0.698542\n0.75 1.740204\nName: 6608, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17728930736367246, std values: 0.8005533599468115, min values: -2.0487427091782733, max values: 3.17157439250477, median values: -0.2368147049634302, and quantile values: 0.25 -0.731327\n0.50 -0.236815\n0.75 0.305828\nName: 6609, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2468501777074078, std values: 0.8343128109658378, min values: -1.9991292149628368, max values: 4.0, median values: 0.2551828090743144, and quantile values: 0.25 -0.343149\n0.50 0.255183\n0.75 0.861784\nName: 6610, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14989366152868486, std values: 0.9282084397522805, min values: -2.2915911556076085, max values: 3.867701659180865, median values: 0.2135265507033596, and quantile values: 0.25 -0.565707\n0.50 0.213527\n0.75 0.872073\nName: 6611, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4406597135796746, std values: 0.7800725457889988, min values: -2.374446373878101, max values: 4.243835016543704, median values: 0.4826951054641095, and quantile values: 0.25 -0.025977\n0.50 0.482695\n0.75 0.908896\nName: 6612, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3627022802465923, std values: 0.9420614612024892, min values: -2.64479559868397, max values: 6.0, median values: 0.483645946504977, and quantile values: 0.25 -0.166323\n0.50 0.483646\n0.75 0.966630\nName: 6613, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.013205448511137224, std values: 0.9036921307910855, min values: -2.100754849305273, max values: 3.667275230673496, median values: 0.0416087308480496, and quantile values: 0.25 -0.624933\n0.50 0.041609\n0.75 0.612893\nName: 6614, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04218182058125212, std values: 1.2431848188540846, min values: -2.8297583842718432, max values: 5.0, median values: 0.315786771581359, and quantile values: 0.25 -0.725878\n0.50 0.315787\n0.75 0.932482\nName: 6615, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4602832588243309, std values: 1.388769045722404, min values: -2.7211321814067784, max values: 3.3014869995452325, median values: -0.3792765232859867, and quantile values: 0.25 -1.887554\n0.50 -0.379277\n0.75 0.602683\nName: 6616, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13978758573843408, std values: 0.8624926617352667, min values: -2.196708653609315, max values: 6.0, median values: 0.1306202381745917, and quantile values: 0.25 -0.430589\n0.50 0.130620\n0.75 0.678218\nName: 6617, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31508831070634075, std values: 0.8024523305394275, min values: -1.9815643918577683, max values: 3.438667023696733, median values: 0.288689288213872, and quantile values: 0.25 -0.189639\n0.50 0.288689\n0.75 0.818228\nName: 6618, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10678817539816432, std values: 0.759259854348978, min values: -2.4125199145038643, max values: 4.0, median values: 0.1434317648410572, and quantile values: 0.25 -0.381055\n0.50 0.143432\n0.75 0.582064\nName: 6619, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.034208732794089466, std values: 0.9364441750369057, min values: -2.9472833478224456, max values: 6.0, median values: 0.0476610497254942, and quantile values: 0.25 -0.488800\n0.50 0.047661\n0.75 0.611232\nName: 6620, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03832671063538473, std values: 0.846633336598977, min values: -2.3184884946917497, max values: 6.0, median values: 0.0248705633812019, and quantile values: 0.25 -0.681004\n0.50 0.024871\n0.75 0.544637\nName: 6621, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5021830422296494, std values: 0.8271302058093669, min values: -2.5689076212724418, max values: 5.0, median values: -0.6382979981478405, and quantile values: 0.25 -1.121967\n0.50 -0.638298\n0.75 0.042318\nName: 6622, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.135616716584257, std values: 0.849812833595901, min values: -2.036936037989613, max values: 3.569037956734876, median values: -0.2588959127338547, and quantile values: 0.25 -0.764181\n0.50 -0.258896\n0.75 0.417199\nName: 6623, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38698091584012856, std values: 0.9493473773763298, min values: -2.955641696055872, max values: 2.9454693771205163, median values: 0.5291145418751962, and quantile values: 0.25 -0.175664\n0.50 0.529115\n0.75 1.054752\nName: 6624, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05909460610506135, std values: 0.7276598296320473, min values: -1.908199896742805, max values: 6.0, median values: -0.0903138758349059, and quantile values: 0.25 -0.525855\n0.50 -0.090314\n0.75 0.338390\nName: 6625, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5232345885498553, std values: 0.811690035426798, min values: -2.4556541290385794, max values: 6.0, median values: -0.6452501271177972, and quantile values: 0.25 -1.140795\n0.50 -0.645250\n0.75 -0.039805\nName: 6626, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49175651774600804, std values: 1.286437704950419, min values: -2.6800544037614658, max values: 4.0, median values: -0.2943816189902526, and quantile values: 0.25 -1.795341\n0.50 -0.294382\n0.75 0.543935\nName: 6627, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34500388100628854, std values: 0.856464395819064, min values: -2.011274058715068, max values: 5.0, median values: 0.4223121547463949, and quantile values: 0.25 -0.267533\n0.50 0.422312\n0.75 0.996797\nName: 6628, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19587517352409226, std values: 0.803878669080011, min values: -2.6023368942328267, max values: 3.1106274661862763, median values: 0.2669355466358736, and quantile values: 0.25 -0.366965\n0.50 0.266936\n0.75 0.786853\nName: 6629, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.056143358173247775, std values: 0.7502859597971704, min values: -2.3922473154067863, max values: 5.0, median values: -0.1246394550716462, and quantile values: 0.25 -0.550462\n0.50 -0.124639\n0.75 0.423417\nName: 6630, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08552407842682334, std values: 0.8772149793884938, min values: -1.9308247847065363, max values: 3.9905524164385566, median values: 0.0016544160673187, and quantile values: 0.25 -0.496885\n0.50 0.001654\n0.75 0.651809\nName: 6631, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08991776949812508, std values: 0.8274662925751471, min values: -2.618746139350171, max values: 3.3760121766849016, median values: -0.1344828141746673, and quantile values: 0.25 -0.653965\n0.50 -0.134483\n0.75 0.461943\nName: 6632, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07451462247382633, std values: 0.7737249608206046, min values: -2.537573835824454, max values: 6.0, median values: 0.062444641744584, and quantile values: 0.25 -0.427496\n0.50 0.062445\n0.75 0.555819\nName: 6633, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1058429714970352, std values: 1.018701376921981, min values: -2.9666813816765707, max values: 4.0, median values: -0.1944783401838795, and quantile values: 0.25 -0.861408\n0.50 -0.194478\n0.75 0.601666\nName: 6634, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10552208024259535, std values: 0.858478043235886, min values: -2.56026492390943, max values: 4.0, median values: -0.1435989189466319, and quantile values: 0.25 -0.655594\n0.50 -0.143599\n0.75 0.462710\nName: 6635, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35440253786883946, std values: 0.8073380900893992, min values: -2.070226764228553, max values: 3.258347009006034, median values: 0.4097554781683657, and quantile values: 0.25 -0.164574\n0.50 0.409755\n0.75 0.875745\nName: 6636, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2794662642791126, std values: 0.8916000389024398, min values: -2.4536054974529624, max values: 6.0, median values: 0.2094711921301134, and quantile values: 0.25 -0.271454\n0.50 0.209471\n0.75 0.827379\nName: 6637, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27166805271219663, std values: 0.9209010823868916, min values: -2.623568901859613, max values: 4.0, median values: -0.3312248898368045, and quantile values: 0.25 -0.864563\n0.50 -0.331225\n0.75 0.334888\nName: 6638, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10483537774004181, std values: 0.8039533317017801, min values: -2.1222500742240245, max values: 6.0, median values: -0.1145226732965748, and quantile values: 0.25 -0.638584\n0.50 -0.114523\n0.75 0.361109\nName: 6639, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1849291469312712, std values: 0.7944290389211645, min values: -2.414039489297912, max values: 6.0, median values: -0.2616596808876508, and quantile values: 0.25 -0.719189\n0.50 -0.261660\n0.75 0.293395\nName: 6640, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4116705654411092, std values: 0.9377133748584238, min values: -2.56026492390943, max values: 4.0, median values: -0.5583447023222239, and quantile values: 0.25 -1.101103\n0.50 -0.558345\n0.75 0.157039\nName: 6641, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2456314702891272, std values: 1.0501842412848321, min values: -2.8451834694312192, max values: 3.00464355837442, median values: 0.4183412300114218, and quantile values: 0.25 -0.304806\n0.50 0.418341\n0.75 0.912463\nName: 6642, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4336859288047436, std values: 0.8718438766094049, min values: -2.482931728382393, max values: 3.0, median values: -0.537782358516582, and quantile values: 0.25 -1.078970\n0.50 -0.537782\n0.75 0.091088\nName: 6643, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43893821287349427, std values: 1.0563445894447172, min values: -2.1414883906350908, max values: 3.197902420311553, median values: 0.546107114850363, and quantile values: 0.25 -0.323322\n0.50 0.546107\n0.75 1.283423\nName: 6644, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29498135651327184, std values: 1.0345319503763548, min values: -2.5906203367024587, max values: 3.4758930087721422, median values: -0.2880198118691115, and quantile values: 0.25 -0.853693\n0.50 -0.288020\n0.75 0.322116\nName: 6645, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02443062237597815, std values: 0.8890464008330496, min values: -2.72346435408924, max values: 4.0, median values: 0.0903356176226961, and quantile values: 0.25 -0.495075\n0.50 0.090336\n0.75 0.574967\nName: 6646, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0003495436882023227, std values: 0.9612770957274852, min values: -2.783691185534105, max values: 3.2701555622463814, median values: -0.0894101418568942, and quantile values: 0.25 -0.740442\n0.50 -0.089410\n0.75 0.597391\nName: 6647, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4759006512405897, std values: 0.9583305567944259, min values: -2.739804196611005, max values: 6.0, median values: 0.4114378793647176, and quantile values: 0.25 -0.116807\n0.50 0.411438\n0.75 1.136713\nName: 6648, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5366905213014286, std values: 1.0954743410291683, min values: -2.623568901859613, max values: 4.0, median values: 0.5196985747542369, and quantile values: 0.25 -0.181260\n0.50 0.519699\n0.75 1.365805\nName: 6649, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15436354382792533, std values: 0.7766355803772764, min values: -2.055430953058359, max values: 5.0, median values: 0.1816799742241606, and quantile values: 0.25 -0.373453\n0.50 0.181680\n0.75 0.646199\nName: 6650, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22435490378744619, std values: 0.8491799656077809, min values: -2.730840794324401, max values: 3.8226908388056136, median values: 0.2711044476007775, and quantile values: 0.25 -0.270076\n0.50 0.271104\n0.75 0.756675\nName: 6651, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02129863448202733, std values: 0.9593731008977301, min values: -2.0718728376171285, max values: 3.3636961113187773, median values: -0.1434317648410573, and quantile values: 0.25 -0.757853\n0.50 -0.143432\n0.75 0.657892\nName: 6652, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.155957108788355, std values: 0.9740980897895071, min values: -2.5695487141177, max values: 4.0, median values: 0.2122870438299207, and quantile values: 0.25 -0.408951\n0.50 0.212287\n0.75 0.773062\nName: 6653, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2709080075961443, std values: 1.0385041263242358, min values: -3.074005993202373, max values: 3.390469008396469, median values: -0.2463576255436554, and quantile values: 0.25 -0.956361\n0.50 -0.246358\n0.75 0.471339\nName: 6654, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20729300775216603, std values: 0.8277411425976477, min values: -2.142854198138545, max values: 5.0, median values: 0.2363286007391203, and quantile values: 0.25 -0.365092\n0.50 0.236329\n0.75 0.778346\nName: 6655, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08199676729018472, std values: 0.9055850729365696, min values: -2.0972650777209885, max values: 3.667275230673496, median values: -0.1718334765123259, and quantile values: 0.25 -0.766783\n0.50 -0.171833\n0.75 0.525064\nName: 6656, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10302147553537606, std values: 1.0379501919028074, min values: -2.1655579954071733, max values: 3.162318759909359, median values: -0.0049159967296441, and quantile values: 0.25 -0.745615\n0.50 -0.004916\n0.75 0.840228\nName: 6657, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26012263866145896, std values: 0.8601672205395567, min values: -2.3937380876386865, max values: 4.0, median values: -0.3693648729202322, and quantile values: 0.25 -0.909468\n0.50 -0.369365\n0.75 0.263909\nName: 6658, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10487618771491558, std values: 0.8236493388740291, min values: -2.226424194672579, max values: 4.0, median values: 0.0855311196231491, and quantile values: 0.25 -0.454046\n0.50 0.085531\n0.75 0.642539\nName: 6659, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3047276103309639, std values: 0.7385957914133072, min values: -2.007321445101768, max values: 6.0, median values: 0.3634615069685233, and quantile values: 0.25 -0.166498\n0.50 0.363462\n0.75 0.784362\nName: 6660, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2791619850768206, std values: 0.8327166590392121, min values: -2.4737574649270093, max values: 3.379902545505621, median values: 0.3292688104449559, and quantile values: 0.25 -0.274693\n0.50 0.329269\n0.75 0.857702\nName: 6661, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5865720730446589, std values: 1.2091722386373993, min values: -2.727901130262228, max values: 4.0, median values: -0.4471936816143798, and quantile values: 0.25 -1.764342\n0.50 -0.447194\n0.75 0.222071\nName: 6662, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20908684098856145, std values: 0.9785074706918304, min values: -2.5631960397140583, max values: 4.0, median values: 0.2649384071395396, and quantile values: 0.25 -0.380875\n0.50 0.264938\n0.75 0.871383\nName: 6663, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05455025801614524, std values: 0.9175754226834985, min values: -2.4902145713898545, max values: 3.2701555622463814, median values: -0.1186971792668132, and quantile values: 0.25 -0.660300\n0.50 -0.118697\n0.75 0.520564\nName: 6664, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18764034652561665, std values: 0.8522835585140274, min values: -2.8327898928872086, max values: 4.0, median values: -0.1770689117385665, and quantile values: 0.25 -0.692596\n0.50 -0.177069\n0.75 0.299963\nName: 6665, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38374390612562725, std values: 0.7584888000822594, min values: -1.9105404510101496, max values: 2.9325508639431663, median values: 0.4191228583608008, and quantile values: 0.25 -0.135800\n0.50 0.419123\n0.75 0.886932\nName: 6666, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05288074512774504, std values: 0.8513657365330112, min values: -2.64479559868397, max values: 6.0, median values: 0.1224143636108903, and quantile values: 0.25 -0.458951\n0.50 0.122414\n0.75 0.589008\nName: 6667, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2812774380238663, std values: 0.824314065488399, min values: -2.6117120822772133, max values: 5.0, median values: -0.2910759538480533, and quantile values: 0.25 -0.848803\n0.50 -0.291076\n0.75 0.209077\nName: 6668, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06729604440500138, std values: 1.0041828148057186, min values: -2.104667097879677, max values: 4.0, median values: 0.0532586593303933, and quantile values: 0.25 -0.753237\n0.50 0.053259\n0.75 0.790337\nName: 6669, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10988493451601157, std values: 1.0090046070159444, min values: -2.623568901859613, max values: 4.0, median values: -0.1321459580632899, and quantile values: 0.25 -0.746525\n0.50 -0.132146\n0.75 0.574605\nName: 6670, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0490264199118073, std values: 0.8051623052969256, min values: -3.002493140275396, max values: 5.0, median values: 0.1260925339737144, and quantile values: 0.25 -0.530659\n0.50 0.126093\n0.75 0.602258\nName: 6671, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18997885988200736, std values: 1.0876480741461687, min values: -2.673549169958716, max values: 6.0, median values: -0.2441861044652649, and quantile values: 0.25 -0.979925\n0.50 -0.244186\n0.75 0.572543\nName: 6672, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34030712303733346, std values: 0.8792620889407609, min values: -3.0390690173369013, max values: 3.3636961113187773, median values: -0.364157442986907, and quantile values: 0.25 -0.938582\n0.50 -0.364157\n0.75 0.181800\nName: 6673, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18670602510456652, std values: 0.784706961910969, min values: -2.098259549910112, max values: 3.784832159836258, median values: 0.1783212823288736, and quantile values: 0.25 -0.306797\n0.50 0.178321\n0.75 0.648101\nName: 6674, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24030706278995617, std values: 1.0725680686623502, min values: -2.697026421440041, max values: 4.0, median values: 0.3994187145825779, and quantile values: 0.25 -0.385676\n0.50 0.399419\n0.75 1.023726\nName: 6675, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2813851356324985, std values: 0.846243200562667, min values: -2.5825978442440407, max values: 6.0, median values: 0.3059027837300259, and quantile values: 0.25 -0.259722\n0.50 0.305903\n0.75 0.760977\nName: 6676, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20797416053115816, std values: 0.7364074915854232, min values: -2.023268385245388, max values: 5.0, median values: -0.2396068869548895, and quantile values: 0.25 -0.701779\n0.50 -0.239607\n0.75 0.243945\nName: 6677, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23075736128214022, std values: 0.9972690925054911, min values: -2.7428415536925543, max values: 5.0, median values: 0.3660774738713603, and quantile values: 0.25 -0.277681\n0.50 0.366077\n0.75 0.859525\nName: 6678, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21309113225847384, std values: 0.9626669497336087, min values: -2.933035609461076, max values: 5.0, median values: 0.3086778239650705, and quantile values: 0.25 -0.393563\n0.50 0.308678\n0.75 0.907968\nName: 6679, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1889957961162203, std values: 0.7793267842706669, min values: -2.300042081328127, max values: 4.0, median values: -0.2809811618688977, and quantile values: 0.25 -0.729350\n0.50 -0.280981\n0.75 0.292728\nName: 6680, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33327845883057, std values: 0.9929151937343881, min values: -2.618746139350171, max values: 3.867701659180865, median values: -0.2911018665255168, and quantile values: 0.25 -0.999582\n0.50 -0.291102\n0.75 0.329102\nName: 6681, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2132006635125423, std values: 0.9435879950284214, min values: -2.8164291268114208, max values: 3.155170554159904, median values: -0.256965633721991, and quantile values: 0.25 -0.869933\n0.50 -0.256966\n0.75 0.376112\nName: 6682, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2613293465586111, std values: 0.7537080559244178, min values: -2.662750916816848, max values: 5.0, median values: 0.2892518019290381, and quantile values: 0.25 -0.220350\n0.50 0.289252\n0.75 0.743109\nName: 6683, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4659477518541712, std values: 0.8629647244795345, min values: -2.687115288423959, max values: 5.0, median values: 0.5364903842592106, and quantile values: 0.25 -0.050915\n0.50 0.536490\n0.75 1.019504\nName: 6684, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02253180059203907, std values: 0.7913281861712479, min values: -2.0604662602729085, max values: 5.0, median values: 0.0090285033624716, and quantile values: 0.25 -0.533809\n0.50 0.009029\n0.75 0.464979\nName: 6685, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7518190084717062, std values: 1.2315249777953656, min values: -3.124705982383478, max values: 2.6660404517971883, median values: -0.6298312560909098, and quantile values: 0.25 -1.859522\n0.50 -0.629831\n0.75 0.233899\nName: 6686, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17221136346811447, std values: 0.9708478703202168, min values: -2.801183634509044, max values: 5.0, median values: -0.2717241038182176, and quantile values: 0.25 -0.874358\n0.50 -0.271724\n0.75 0.515645\nName: 6687, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19386700912677174, std values: 0.7223260861227011, min values: -2.3360195637517567, max values: 4.0, median values: -0.1643826328634544, and quantile values: 0.25 -0.669416\n0.50 -0.164383\n0.75 0.238711\nName: 6688, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12532581541166546, std values: 0.8117345825204487, min values: -2.347218112207751, max values: 4.0, median values: -0.0907563143835355, and quantile values: 0.25 -0.704936\n0.50 -0.090756\n0.75 0.374132\nName: 6689, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17812452513418234, std values: 1.028644729180501, min values: -2.6278943940336483, max values: 4.0, median values: 0.0667497506964359, and quantile values: 0.25 -0.672222\n0.50 0.066750\n0.75 0.936242\nName: 6690, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35120783217169843, std values: 0.804655524977676, min values: -2.5422910691068967, max values: 3.163266084685921, median values: 0.370478434058165, and quantile values: 0.25 -0.173157\n0.50 0.370478\n0.75 0.882458\nName: 6691, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14506896886069828, std values: 0.784139403083987, min values: -2.045960343889241, max values: 5.0, median values: -0.2486689240627753, and quantile values: 0.25 -0.720965\n0.50 -0.248669\n0.75 0.385054\nName: 6692, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15920995473481742, std values: 1.0139460566672385, min values: -2.6603025395856053, max values: 5.0, median values: -0.2499123258744841, and quantile values: 0.25 -0.873363\n0.50 -0.249912\n0.75 0.518617\nName: 6693, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2539503823483028, std values: 0.8796108205306115, min values: -2.245752867605861, max values: 3.32433157891547, median values: 0.2108110001390629, and quantile values: 0.25 -0.391930\n0.50 0.210811\n0.75 0.840430\nName: 6694, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6648555571722601, std values: 0.9475238598966048, min values: -2.581273000600158, max values: 3.2696814875916886, median values: 0.7627621886229097, and quantile values: 0.25 0.002103\n0.50 0.762762\n0.75 1.464946\nName: 6695, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.48604973464457446, std values: 0.8757925503022294, min values: -2.6850842010492566, max values: 6.0, median values: -0.6118055341226746, and quantile values: 0.25 -1.120153\n0.50 -0.611806\n0.75 -0.010305\nName: 6696, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13660284978780943, std values: 0.8266154938273396, min values: -2.12073996675014, max values: 3.076680642207697, median values: 0.1375600019571445, and quantile values: 0.25 -0.415778\n0.50 0.137560\n0.75 0.606570\nName: 6697, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18100145266768672, std values: 1.0296550099663748, min values: -3.062179113294277, max values: 3.9048392686725855, median values: 0.3039403076232405, and quantile values: 0.25 -0.605003\n0.50 0.303940\n0.75 1.006555\nName: 6698, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4357666113285881, std values: 0.7962136415175843, min values: -2.216667845863733, max values: 4.278004674434932, median values: 0.5110177798689014, and quantile values: 0.25 -0.094679\n0.50 0.511018\n0.75 0.965796\nName: 6699, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13753063824758052, std values: 1.034786137156854, min values: -2.815821936576896, max values: 3.0, median values: 0.0431675064473598, and quantile values: 0.25 -0.632955\n0.50 0.043168\n0.75 0.535099\nName: 6700, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 1.007539722927882, std values: 0.9602980971190318, min values: -2.0131371991989395, max values: 3.4217036547572275, median values: 0.9663780161205096, and quantile values: 0.25 0.381843\n0.50 0.966378\n0.75 1.680236\nName: 6701, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19196748399252528, std values: 0.8890929983882532, min values: -1.9523498802713093, max values: 3.215720519334646, median values: 0.1331712236915227, and quantile values: 0.25 -0.431626\n0.50 0.133171\n0.75 0.767227\nName: 6702, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12535127891261683, std values: 0.8256089884716289, min values: -2.788272971802125, max values: 3.670892362631932, median values: 0.0911434626846038, and quantile values: 0.25 -0.417169\n0.50 0.091143\n0.75 0.631013\nName: 6703, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14586476625273487, std values: 0.800128371648354, min values: -3.0223671288921072, max values: 3.280245386470253, median values: 0.1562024642235442, and quantile values: 0.25 -0.366935\n0.50 0.156202\n0.75 0.612162\nName: 6704, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3172425925094959, std values: 0.8303624545829048, min values: -2.748993280390358, max values: 3.306454397423372, median values: 0.3665523225233788, and quantile values: 0.25 -0.214993\n0.50 0.366552\n0.75 0.852542\nName: 6705, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1300753558433886, std values: 0.8899810020150384, min values: -2.6412681606926487, max values: 3.0, median values: -0.2079513239555221, and quantile values: 0.25 -0.851156\n0.50 -0.207951\n0.75 0.506381\nName: 6706, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.00790335028762436, std values: 0.7699620381366985, min values: -2.525881048269423, max values: 3.247416277295021, median values: 0.013755715395505, and quantile values: 0.25 -0.542614\n0.50 0.013756\n0.75 0.578847\nName: 6707, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16542202522666005, std values: 0.7487053283795824, min values: -2.6115251494731915, max values: 3.0, median values: 0.197851451745992, and quantile values: 0.25 -0.356088\n0.50 0.197851\n0.75 0.688070\nName: 6708, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.7554073473465974, std values: 1.0669403845089527, min values: -3.101800431129944, max values: 6.0, median values: -2.054364668812331, and quantile values: 0.25 -2.393738\n0.50 -2.054365\n0.75 -1.730371\nName: 6709, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3357154916470571, std values: 0.8742179569722839, min values: -2.783691185534105, max values: 3.760287110694155, median values: -0.4482113929739343, and quantile values: 0.25 -0.991296\n0.50 -0.448211\n0.75 0.198561\nName: 6710, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33994288271785905, std values: 0.9010054911767647, min values: -2.264034258932616, max values: 3.9905524164385566, median values: 0.4416358217032137, and quantile values: 0.25 -0.294321\n0.50 0.441636\n0.75 0.992610\nName: 6711, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47040711498724996, std values: 0.885570580643124, min values: -2.8843374390620142, max values: 6.0, median values: 0.5812951788767161, and quantile values: 0.25 -0.156506\n0.50 0.581295\n0.75 1.117545\nName: 6712, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5804178455907055, std values: 0.9002461161330525, min values: -2.3665975785757483, max values: 3.2936960268109283, median values: -0.7255085943851075, and quantile values: 0.25 -1.279234\n0.50 -0.725509\n0.75 0.002065\nName: 6713, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6414816438512005, std values: 0.9783801048728673, min values: -2.8164291268114208, max values: 2.85639829253406, median values: -0.6854942076926758, and quantile values: 0.25 -1.352354\n0.50 -0.685494\n0.75 -0.063241\nName: 6714, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7701200879380018, std values: 0.9990339799785126, min values: -2.2398683045325223, max values: 4.278004674434932, median values: 0.8991395493610498, and quantile values: 0.25 0.039750\n0.50 0.899140\n0.75 1.601353\nName: 6715, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24450240202820078, std values: 0.8903771345522631, min values: -2.799990485600992, max values: 5.0, median values: -0.316365769533183, and quantile values: 0.25 -0.925271\n0.50 -0.316366\n0.75 0.365316\nName: 6716, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38677632938802287, std values: 0.9626059223633365, min values: -2.349293916724472, max values: 3.9048392686725855, median values: 0.4430171848016697, and quantile values: 0.25 -0.322838\n0.50 0.443017\n0.75 1.014035\nName: 6717, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3236483357017328, std values: 0.8211569228804135, min values: -2.5122218748354936, max values: 3.0, median values: -0.3463037105458, and quantile values: 0.25 -0.812922\n0.50 -0.346304\n0.75 0.149543\nName: 6718, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02465138672897058, std values: 0.8060126817912663, min values: -2.1067975134574946, max values: 3.0, median values: 0.0258072006993362, and quantile values: 0.25 -0.544806\n0.50 0.025807\n0.75 0.525985\nName: 6719, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11502711357882794, std values: 0.8287338614436155, min values: -2.0360128381441656, max values: 5.0, median values: 0.0589682867946948, and quantile values: 0.25 -0.435027\n0.50 0.058968\n0.75 0.620720\nName: 6720, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21569475584400288, std values: 0.9272797695976492, min values: -2.7314147016889114, max values: 3.627976272701048, median values: -0.2936599010002384, and quantile values: 0.25 -0.914483\n0.50 -0.293660\n0.75 0.406587\nName: 6721, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17984609643646132, std values: 0.8273180233929207, min values: -1.9536230018109555, max values: 3.455472209455805, median values: -0.2874549287110367, and quantile values: 0.25 -0.788075\n0.50 -0.287455\n0.75 0.365951\nName: 6722, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10857958788569867, std values: 0.780958178399091, min values: -2.5039074859839925, max values: 4.0, median values: 0.1584051547164253, and quantile values: 0.25 -0.421830\n0.50 0.158405\n0.75 0.640543\nName: 6723, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47900095612588944, std values: 1.0885783719593163, min values: -2.73836943861057, max values: 3.784832159836258, median values: 0.5726755053995307, and quantile values: 0.25 -0.201227\n0.50 0.572676\n0.75 1.307718\nName: 6724, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1636000981364411, std values: 0.8154406235272814, min values: -2.45229857681487, max values: 3.5908526919299577, median values: -0.2805734604496073, and quantile values: 0.25 -0.772918\n0.50 -0.280573\n0.75 0.361381\nName: 6725, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.023941247084007695, std values: 0.7627304237578506, min values: -2.275531026921315, max values: 6.0, median values: -0.0545281768894077, and quantile values: 0.25 -0.507321\n0.50 -0.054528\n0.75 0.439344\nName: 6726, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5740345421426193, std values: 0.9409467380187002, min values: -2.0604662602729085, max values: 3.362228250221886, median values: 0.59688295409359, and quantile values: 0.25 -0.141611\n0.50 0.596883\n0.75 1.349529\nName: 6727, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3859893872875668, std values: 0.7477711089666846, min values: -2.275531026921315, max values: 6.0, median values: 0.4556452742307861, and quantile values: 0.25 -0.097893\n0.50 0.455645\n0.75 0.879549\nName: 6728, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0932587249643683, std values: 1.0142028532575975, min values: -2.5156802245814003, max values: 4.0, median values: 0.0834030139631305, and quantile values: 0.25 -0.631648\n0.50 0.083403\n0.75 0.815420\nName: 6729, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07213653524928892, std values: 1.1466760274176289, min values: -2.769191083399913, max values: 3.9905524164385566, median values: 0.1387741102280872, and quantile values: 0.25 -0.676375\n0.50 0.138774\n0.75 0.766213\nName: 6730, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6088767132813558, std values: 1.2105366622658524, min values: -2.842043939794492, max values: 3.9048392686725855, median values: 0.7619720682118465, and quantile values: 0.25 -0.082823\n0.50 0.761972\n0.75 1.471525\nName: 6731, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38769694228680385, std values: 1.0773826546692027, min values: -2.525881048269423, max values: 3.455472209455805, median values: 0.4914392649752843, and quantile values: 0.25 -0.294896\n0.50 0.491439\n0.75 1.212980\nName: 6732, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1820570800032422, std values: 0.9087999265939265, min values: -2.589966702820638, max values: 6.0, median values: 0.2616341668322505, and quantile values: 0.25 -0.384460\n0.50 0.261634\n0.75 0.792017\nName: 6733, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29737305695321165, std values: 0.7974532280729496, min values: -2.6635706018350787, max values: 3.1395741599540568, median values: -0.3206826589987875, and quantile values: 0.25 -0.844411\n0.50 -0.320683\n0.75 0.170950\nName: 6734, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46678605056806194, std values: 0.8942698612206333, min values: -2.584593648802428, max values: 3.0, median values: -0.4243222957008421, and quantile values: 0.25 -1.016242\n0.50 -0.424322\n0.75 0.054114\nName: 6735, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33141096444032153, std values: 0.84995048436591, min values: -2.3051489257282016, max values: 5.0, median values: 0.3749594592578122, and quantile values: 0.25 -0.249693\n0.50 0.374959\n0.75 0.933716\nName: 6736, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09175325705368237, std values: 1.1011551952036154, min values: -2.955641696055872, max values: 3.5427287984042666, median values: 0.145506302024299, and quantile values: 0.25 -0.446017\n0.50 0.145506\n0.75 0.819613\nName: 6737, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3060855881235544, std values: 0.9994400144408127, min values: -2.576018450691392, max values: 4.0, median values: -0.2447705399316902, and quantile values: 0.25 -1.067369\n0.50 -0.244771\n0.75 0.376662\nName: 6738, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45855846356777863, std values: 0.8541071792627838, min values: -2.46877984546652, max values: 3.2071942083719924, median values: 0.5287661253190736, and quantile values: 0.25 -0.122067\n0.50 0.528766\n0.75 1.067077\nName: 6739, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4508365508546735, std values: 0.8694684691046598, min values: -2.65545309976178, max values: 5.0, median values: -0.5721888754078474, and quantile values: 0.25 -1.110775\n0.50 -0.572189\n0.75 0.107417\nName: 6740, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1926444184060463, std values: 1.0740689399343555, min values: -2.5293911731823453, max values: 3.4566816047670264, median values: 0.2803419795643956, and quantile values: 0.25 -0.492165\n0.50 0.280342\n0.75 0.893789\nName: 6741, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13751331337587494, std values: 0.8341787561250074, min values: -2.09134137830184, max values: 4.0, median values: -0.2294076215192228, and quantile values: 0.25 -0.774697\n0.50 -0.229408\n0.75 0.410604\nName: 6742, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2760066887506438, std values: 0.869311022277488, min values: -2.053612783201618, max values: 3.0148736195915853, median values: -0.3678780287469271, and quantile values: 0.25 -0.967321\n0.50 -0.367878\n0.75 0.355509\nName: 6743, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05782774061559883, std values: 0.8915658179622125, min values: -2.6603025395856053, max values: 5.0, median values: -0.0556170141136057, and quantile values: 0.25 -0.683851\n0.50 -0.055617\n0.75 0.547028\nName: 6744, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.014355675384534198, std values: 0.996740036098098, min values: -2.688157591415518, max values: 3.2266531185902125, median values: 0.1086909830889661, and quantile values: 0.25 -0.598600\n0.50 0.108691\n0.75 0.658391\nName: 6745, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17841544827714692, std values: 0.8059583795392383, min values: -2.537573835824454, max values: 6.0, median values: -0.2575581035658276, and quantile values: 0.25 -0.766910\n0.50 -0.257558\n0.75 0.338615\nName: 6746, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09013727393801856, std values: 0.8089749818407227, min values: -2.033611600779362, max values: 6.0, median values: 0.0443252649584688, and quantile values: 0.25 -0.448746\n0.50 0.044325\n0.75 0.621856\nName: 6747, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3359596290250082, std values: 0.9431589521545478, min values: -2.93129584560762, max values: 6.0, median values: -0.3788622529750023, and quantile values: 0.25 -0.936169\n0.50 -0.378862\n0.75 0.224584\nName: 6748, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.012766232232968685, std values: 0.8017065207803853, min values: -2.9797100147087465, max values: 5.0, median values: 0.0393852644686962, and quantile values: 0.25 -0.508370\n0.50 0.039385\n0.75 0.523548\nName: 6749, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37759169432647266, std values: 0.9808220857058976, min values: -2.6685266729136536, max values: 6.0, median values: 0.215217316582908, and quantile values: 0.25 -0.324681\n0.50 0.215217\n0.75 1.103300\nName: 6750, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.46585266297173294, std values: 0.997548692584051, min values: -2.7230534645798463, max values: 3.5021977227593246, median values: 0.4962303121069414, and quantile values: 0.25 -0.028578\n0.50 0.496230\n0.75 1.135821\nName: 6751, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8569586776086509, std values: 1.1404626359739118, min values: -2.739804196611005, max values: 6.0, median values: 0.9063272297878856, and quantile values: 0.25 0.064707\n0.50 0.906327\n0.75 1.758362\nName: 6752, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04737037011182065, std values: 1.1116139409997754, min values: -2.769191083399913, max values: 3.2696814875916886, median values: 0.1302626916858454, and quantile values: 0.25 -0.486198\n0.50 0.130263\n0.75 0.674920\nName: 6753, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.178731736496552, std values: 0.8426911737642312, min values: -2.622408470084112, max values: 3.438667023696733, median values: -0.1979713778098643, and quantile values: 0.25 -0.778858\n0.50 -0.197971\n0.75 0.345164\nName: 6754, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24054895140636276, std values: 0.7945669391995914, min values: -2.149188957097492, max values: 5.0, median values: -0.3434979180270945, and quantile values: 0.25 -0.833318\n0.50 -0.343498\n0.75 0.291470\nName: 6755, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37139456635482343, std values: 0.917715143353452, min values: -2.5445249319512966, max values: 3.090297571450676, median values: 0.3373987801345259, and quantile values: 0.25 -0.243553\n0.50 0.337399\n0.75 0.981947\nName: 6756, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21129437846130053, std values: 1.0100866953603578, min values: -2.4536054974529624, max values: 6.0, median values: -0.269133630807074, and quantile values: 0.25 -1.084953\n0.50 -0.269134\n0.75 0.532074\nName: 6757, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27426662455918227, std values: 0.859742968814444, min values: -2.748993280390358, max values: 3.216771431244405, median values: -0.3267248644024879, and quantile values: 0.25 -0.880158\n0.50 -0.326725\n0.75 0.220350\nName: 6758, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41131140577120506, std values: 0.7853640435595793, min values: -2.2915911556076085, max values: 3.5581019918925243, median values: 0.4261850179502426, and quantile values: 0.25 -0.072547\n0.50 0.426185\n0.75 0.885403\nName: 6759, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35735630344007213, std values: 0.9512312189561433, min values: -2.510124273981921, max values: 3.176672644814091, median values: 0.3950381056706756, and quantile values: 0.25 -0.170039\n0.50 0.395038\n0.75 0.933461\nName: 6760, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10753755674942354, std values: 0.9202053912043701, min values: -2.5825978442440407, max values: 6.0, median values: -0.1789089071454993, and quantile values: 0.25 -0.840026\n0.50 -0.178909\n0.75 0.516185\nName: 6761, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14056249834073828, std values: 0.8541275194711134, min values: -2.867984306888309, max values: 3.496479817235339, median values: 0.1948396384955839, and quantile values: 0.25 -0.480566\n0.50 0.194840\n0.75 0.768651\nName: 6762, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2364690918818507, std values: 0.8666672112780672, min values: -2.564449278715455, max values: 4.278004674434932, median values: 0.1054394933747004, and quantile values: 0.25 -0.327881\n0.50 0.105439\n0.75 0.760462\nName: 6763, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21643853836606114, std values: 0.7755495839680953, min values: -2.023695050960669, max values: 3.280245386470253, median values: 0.2599958696819533, and quantile values: 0.25 -0.313732\n0.50 0.259996\n0.75 0.746268\nName: 6764, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2622897866998555, std values: 0.9596415277108913, min values: -2.0923235737594785, max values: 4.0, median values: 0.301447818016651, and quantile values: 0.25 -0.460258\n0.50 0.301448\n0.75 1.014812\nName: 6765, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23528064822840083, std values: 1.024618441069384, min values: -2.5122218748354936, max values: 3.1995118554872866, median values: 0.2684639403163176, and quantile values: 0.25 -0.313848\n0.50 0.268464\n0.75 0.950196\nName: 6766, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28561563491902575, std values: 0.7931097270282129, min values: -2.442256129120324, max values: 6.0, median values: 0.3387109240359038, and quantile values: 0.25 -0.201299\n0.50 0.338711\n0.75 0.786574\nName: 6767, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3099651955243597, std values: 1.4138316096204095, min values: -2.8834699678265463, max values: 5.0, median values: -0.0011817254983303, and quantile values: 0.25 -1.839867\n0.50 -0.001182\n0.75 0.892831\nName: 6768, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3987381236738488, std values: 0.9717162379142446, min values: -2.510124273981921, max values: 3.3483277116524426, median values: -0.3692383608838331, and quantile values: 0.25 -1.045333\n0.50 -0.369238\n0.75 0.174377\nName: 6769, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.011187216487370475, std values: 0.8285416877720991, min values: -2.053612783201618, max values: 3.1888787873512885, median values: 0.0502681187546018, and quantile values: 0.25 -0.604072\n0.50 0.050268\n0.75 0.648881\nName: 6770, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27153062448888016, std values: 0.8448590150270784, min values: -2.043287858674072, max values: 5.0, median values: -0.3563899073513967, and quantile values: 0.25 -0.907468\n0.50 -0.356390\n0.75 0.247578\nName: 6771, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49894284768761515, std values: 1.0090211690250086, min values: -2.0119890946458487, max values: 3.8226908388056136, median values: 0.4000153067121826, and quantile values: 0.25 -0.153638\n0.50 0.400015\n0.75 1.130973\nName: 6772, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3158593904654363, std values: 0.8096452670186902, min values: -2.4902145713898545, max values: 3.434669824302974, median values: 0.4110482778938165, and quantile values: 0.25 -0.137154\n0.50 0.411048\n0.75 0.850600\nName: 6773, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2388627626607462, std values: 0.8074172919602465, min values: -2.841647375415054, max values: 5.0, median values: 0.2212527640524327, and quantile values: 0.25 -0.280659\n0.50 0.221253\n0.75 0.742673\nName: 6774, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07160009921339286, std values: 0.9631623761682832, min values: -2.486556664247513, max values: 3.630507857092792, median values: 0.1802628755175851, and quantile values: 0.25 -0.576964\n0.50 0.180263\n0.75 0.775310\nName: 6775, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14854673533270313, std values: 0.8783436165006477, min values: -2.6635706018350787, max values: 3.4566816047670264, median values: -0.2263028439789062, and quantile values: 0.25 -0.728883\n0.50 -0.226303\n0.75 0.387605\nName: 6776, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.1659081695167153, std values: 1.2021373662364934, min values: -2.727901130262228, max values: 4.0, median values: -1.698650509722466, and quantile values: 0.25 -2.140874\n0.50 -1.698651\n0.75 -0.225629\nName: 6777, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.649204250682617, std values: 1.1508907655425267, min values: -2.6652153608723106, max values: 3.455472209455805, median values: 0.583938483283009, and quantile values: 0.25 -0.234367\n0.50 0.583938\n0.75 1.602266\nName: 6778, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21080254243223856, std values: 0.8027785633505192, min values: -1.994759357949121, max values: 4.026668017837955, median values: 0.2388417417892017, and quantile values: 0.25 -0.291906\n0.50 0.238842\n0.75 0.731394\nName: 6779, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1547117577110713, std values: 0.9621357221518655, min values: -2.3771558481240653, max values: 4.0, median values: 0.1152126106732649, and quantile values: 0.25 -0.502274\n0.50 0.115213\n0.75 0.797463\nName: 6780, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11037081943378785, std values: 0.8258994209342401, min values: -2.0491283564961367, max values: 3.216771431244405, median values: -0.188965641386976, and quantile values: 0.25 -0.683576\n0.50 -0.188966\n0.75 0.404415\nName: 6781, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2032397318548076, std values: 0.7943540731018253, min values: -2.364796280494472, max values: 5.0, median values: -0.2643679902415038, and quantile values: 0.25 -0.738760\n0.50 -0.264368\n0.75 0.258407\nName: 6782, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.48970112818001615, std values: 0.8493241287832203, min values: -2.042994235813153, max values: 3.784832159836258, median values: -0.6783371641301125, and quantile values: 0.25 -1.106667\n0.50 -0.678337\n0.75 -0.037876\nName: 6783, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.513425327134608, std values: 0.9310468625257492, min values: -2.1296382068987767, max values: 3.3636961113187773, median values: 0.5477143441778358, and quantile values: 0.25 -0.157708\n0.50 0.547714\n0.75 1.249834\nName: 6784, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42585013120835036, std values: 0.7905469061542721, min values: -2.174309863242296, max values: 3.141939528112806, median values: -0.4875017430576455, and quantile values: 0.25 -0.979942\n0.50 -0.487502\n0.75 0.039811\nName: 6785, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02163776405518765, std values: 0.8425333111662494, min values: -2.6800544037614658, max values: 4.0, median values: 0.0347340566812959, and quantile values: 0.25 -0.531149\n0.50 0.034734\n0.75 0.509823\nName: 6786, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2742983619451174, std values: 0.8825854951663678, min values: -2.8531572940820533, max values: 3.4566816047670264, median values: 0.3394661233315331, and quantile values: 0.25 -0.328085\n0.50 0.339466\n0.75 0.880361\nName: 6787, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0877522087156231, std values: 0.9112798879191176, min values: -3.28024538647024, max values: 3.528773265847577, median values: 0.0650880842638041, and quantile values: 0.25 -0.472570\n0.50 0.065088\n0.75 0.606911\nName: 6788, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15946532713426276, std values: 0.881717753810954, min values: -2.7871422803648627, max values: 3.9048392686725855, median values: -0.1174492414207516, and quantile values: 0.25 -0.723756\n0.50 -0.117449\n0.75 0.404107\nName: 6789, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11632600599938636, std values: 0.9775273727506674, min values: -2.608390851963037, max values: 5.0, median values: -0.1017326746174302, and quantile values: 0.25 -0.653820\n0.50 -0.101733\n0.75 0.456589\nName: 6790, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05721981402230643, std values: 0.8581505049710773, min values: -2.2161166709808824, max values: 6.0, median values: -0.1359940656402566, and quantile values: 0.25 -0.632584\n0.50 -0.135994\n0.75 0.478525\nName: 6791, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0008781251829940857, std values: 0.74218505732406, min values: -1.8631758162824263, max values: 4.278004674434932, median values: -0.0517694843335815, and quantile values: 0.25 -0.489234\n0.50 -0.051769\n0.75 0.456747\nName: 6792, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.012901469510172622, std values: 0.8073518153878889, min values: -2.0700179978453, max values: 3.455472209455805, median values: -0.0395292062745051, and quantile values: 0.25 -0.530414\n0.50 -0.039529\n0.75 0.513756\nName: 6793, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.004295894544241423, std values: 0.9686401322472568, min values: -2.6660404517971856, max values: 4.0, median values: -0.0264028087704323, and quantile values: 0.25 -0.624394\n0.50 -0.026403\n0.75 0.586978\nName: 6794, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1276184075103229, std values: 0.9314098317365475, min values: -2.497627580948261, max values: 3.2266531185902125, median values: -0.1876187003508161, and quantile values: 0.25 -0.681285\n0.50 -0.187619\n0.75 0.453350\nName: 6795, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16364467313394201, std values: 0.9670373076946904, min values: -2.4823451998031074, max values: 3.05919958255637, median values: 0.26944413903658, and quantile values: 0.25 -0.487182\n0.50 0.269444\n0.75 0.871107\nName: 6796, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1637600050426413, std values: 0.8797868615394531, min values: -2.7648443048846945, max values: 3.030805337148847, median values: -0.1951286954560497, and quantile values: 0.25 -0.882472\n0.50 -0.195129\n0.75 0.450666\nName: 6797, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04563314337878635, std values: 0.7910776891366723, min values: -2.0692886635397403, max values: 4.0, median values: -0.0432777666454108, and quantile values: 0.25 -0.573546\n0.50 -0.043278\n0.75 0.426289\nName: 6798, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24217744352784665, std values: 0.9452756661603248, min values: -2.58513369695146, max values: 4.0, median values: 0.331457636274228, and quantile values: 0.25 -0.307259\n0.50 0.331458\n0.75 0.862526\nName: 6799, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7252290095265901, std values: 1.2025924526457208, min values: -2.5953860446419177, max values: 3.709787027503053, median values: 0.7251089027055104, and quantile values: 0.25 -0.086753\n0.50 0.725109\n0.75 1.645920\nName: 6800, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1489696617128927, std values: 0.7906972183567063, min values: -2.4502625580775623, max values: 5.0, median values: 0.135150621702508, and quantile values: 0.25 -0.374280\n0.50 0.135151\n0.75 0.627614\nName: 6801, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.052526960782759466, std values: 0.8336523384159414, min values: -2.642042398333877, max values: 3.0097288687560817, median values: 0.1005499711318414, and quantile values: 0.25 -0.399777\n0.50 0.100550\n0.75 0.535235\nName: 6802, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27695611119772334, std values: 0.8689907146183139, min values: -2.2477784840641744, max values: 4.0, median values: 0.3005676118268657, and quantile values: 0.25 -0.297641\n0.50 0.300568\n0.75 0.819921\nName: 6803, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3354063130288747, std values: 1.024215452881126, min values: -2.7230534645798463, max values: 3.132053530264631, median values: -0.2791987701448246, and quantile values: 0.25 -0.898868\n0.50 -0.279199\n0.75 0.292432\nName: 6804, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06214241157534453, std values: 0.8651596303417443, min values: -2.7825548156447035, max values: 6.0, median values: 0.1006883664994226, and quantile values: 0.25 -0.557910\n0.50 0.100688\n0.75 0.622872\nName: 6805, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04307314218079038, std values: 1.1241460180470195, min values: -2.622709665346679, max values: 3.5021977227593246, median values: 0.0112638172167343, and quantile values: 0.25 -0.823492\n0.50 0.011264\n0.75 0.995777\nName: 6806, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41584940643525226, std values: 0.9379855021594175, min values: -2.1201603002813605, max values: 4.243835016543704, median values: 0.3504882406631407, and quantile values: 0.25 -0.246244\n0.50 0.350488\n0.75 1.040230\nName: 6807, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09803011437957407, std values: 0.8792967169256752, min values: -2.456976083466578, max values: 5.0, median values: -0.2196397537548426, and quantile values: 0.25 -0.750427\n0.50 -0.219640\n0.75 0.513325\nName: 6808, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18310337773689422, std values: 0.8885691353751044, min values: -2.688157591415518, max values: 3.281452258958016, median values: 0.1391826080252672, and quantile values: 0.25 -0.390100\n0.50 0.139183\n0.75 0.783276\nName: 6809, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.625028428193218, std values: 0.7953626717852335, min values: -2.086946282658587, max values: 3.390469008396469, median values: 0.6990338569902512, and quantile values: 0.25 0.144960\n0.50 0.699034\n0.75 1.119696\nName: 6810, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11535211063705998, std values: 0.8199058514738311, min values: -2.419659473655063, max values: 4.0, median values: 0.1074360697125988, and quantile values: 0.25 -0.415005\n0.50 0.107436\n0.75 0.617859\nName: 6811, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.022265083826055694, std values: 0.8239795890253565, min values: -2.475272102106495, max values: 4.0, median values: 0.005370191858187, and quantile values: 0.25 -0.611749\n0.50 0.005370\n0.75 0.542724\nName: 6812, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32558665731758774, std values: 0.919461662074687, min values: -2.2510418820387126, max values: 6.0, median values: 0.4085622896155746, and quantile values: 0.25 -0.345514\n0.50 0.408562\n0.75 0.977363\nName: 6813, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2623833403381539, std values: 0.9190818092544352, min values: -2.8680719719444903, max values: 3.598076523509904, median values: 0.3322141862893235, and quantile values: 0.25 -0.338815\n0.50 0.332214\n0.75 0.930725\nName: 6814, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.025967060520742907, std values: 1.009274209312661, min values: -2.6685266729136536, max values: 5.0, median values: 0.1040658176250006, and quantile values: 0.25 -0.698999\n0.50 0.104066\n0.75 0.777078\nName: 6815, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5044183283719669, std values: 0.984925991419398, min values: -2.7016525309724218, max values: 3.155379154255993, median values: 0.5855721904225624, and quantile values: 0.25 -0.201782\n0.50 0.585572\n0.75 1.334293\nName: 6816, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13228836610641523, std values: 0.9137614391511798, min values: -2.419659473655063, max values: 4.0, median values: 0.1300204986916893, and quantile values: 0.25 -0.511250\n0.50 0.130020\n0.75 0.730896\nName: 6817, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.004160370228349095, std values: 0.8103868040335525, min values: -2.673549169958716, max values: 6.0, median values: 0.0360292149102495, and quantile values: 0.25 -0.397928\n0.50 0.036029\n0.75 0.461269\nName: 6818, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10372789311500719, std values: 1.1778080904963384, min values: -2.724017888297919, max values: 3.379902545505621, median values: -0.1033736215337534, and quantile values: 0.25 -0.740715\n0.50 -0.103374\n0.75 0.904582\nName: 6819, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40855570235417143, std values: 1.0959956233814183, min values: -2.7257183488872623, max values: 5.0, median values: 0.3782101681115868, and quantile values: 0.25 -0.46321\n0.50 0.37821\n0.75 1.24134\nName: 6820, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05194044147107798, std values: 0.8891721987159332, min values: -2.149743899676465, max values: 3.627976272701048, median values: -0.0340639074633916, and quantile values: 0.25 -0.693227\n0.50 -0.034064\n0.75 0.561109\nName: 6821, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16013864645116785, std values: 0.9739692411666863, min values: -2.688157591415518, max values: 3.477886732511886, median values: 0.0929687753845907, and quantile values: 0.25 -0.545724\n0.50 0.092969\n0.75 0.822464\nName: 6822, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08729071664853645, std values: 1.0128435212388431, min values: -2.4823451998031074, max values: 3.397048482165858, median values: 0.068570125114552, and quantile values: 0.25 -0.634368\n0.50 0.068570\n0.75 0.782159\nName: 6823, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38762892066437415, std values: 1.0005466486779473, min values: -2.4823451998031074, max values: 3.2266531185902125, median values: 0.5467809680604367, and quantile values: 0.25 -0.261561\n0.50 0.546781\n0.75 1.120817\nName: 6824, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25355270947416025, std values: 0.9392669889512517, min values: -2.623568901859613, max values: 4.0, median values: 0.2667072483780598, and quantile values: 0.25 -0.309194\n0.50 0.266707\n0.75 0.840131\nName: 6825, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3204909963331211, std values: 0.9189722344092455, min values: -2.618746139350171, max values: 3.721862465295849, median values: 0.4234565325189323, and quantile values: 0.25 -0.235794\n0.50 0.423457\n0.75 0.943040\nName: 6826, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.002970174193980936, std values: 0.7746984766881919, min values: -2.3922473154067863, max values: 5.0, median values: -0.0074685728429133, and quantile values: 0.25 -0.535072\n0.50 -0.007469\n0.75 0.480938\nName: 6827, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2766644413396796, std values: 0.8786509027772316, min values: -2.6278943940336483, max values: 4.0, median values: 0.2641113307094573, and quantile values: 0.25 -0.302784\n0.50 0.264111\n0.75 0.821404\nName: 6828, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6373844015441028, std values: 1.2741279486077504, min values: -2.8531572940820533, max values: 3.9905524164385566, median values: 0.518049125573816, and quantile values: 0.25 -0.352615\n0.50 0.518049\n0.75 1.768268\nName: 6829, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04343913601971153, std values: 0.7606654959952432, min values: -2.662750916816848, max values: 5.0, median values: -0.1045919199860734, and quantile values: 0.25 -0.553407\n0.50 -0.104592\n0.75 0.458116\nName: 6830, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.018208037062960918, std values: 0.753423783361982, min values: -2.058083533069946, max values: 4.0, median values: 0.0206816656789031, and quantile values: 0.25 -0.498444\n0.50 0.020682\n0.75 0.488354\nName: 6831, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38712221612569675, std values: 0.9558413934158455, min values: -2.4105024411864138, max values: 3.4566816047670264, median values: -0.520580901926534, and quantile values: 0.25 -1.160497\n0.50 -0.520581\n0.75 0.249742\nName: 6832, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19269854752728824, std values: 0.8240417407488246, min values: -2.226424194672579, max values: 4.0, median values: -0.2584122393115353, and quantile values: 0.25 -0.847178\n0.50 -0.258412\n0.75 0.388920\nName: 6833, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1091951458897339, std values: 0.8308077348988541, min values: -2.1227739687253626, max values: 3.867701659180865, median values: -0.0734985253682574, and quantile values: 0.25 -0.717721\n0.50 -0.073499\n0.75 0.431574\nName: 6834, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2210351925772635, std values: 0.9880019599628049, min values: -2.321103531050575, max values: 4.0, median values: 0.2164691437105135, and quantile values: 0.25 -0.543710\n0.50 0.216469\n0.75 0.923351\nName: 6835, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4554862838942605, std values: 0.8266611812497481, min values: -2.4737574649270093, max values: 3.1801075704642923, median values: 0.4998895105441707, and quantile values: 0.25 -0.122234\n0.50 0.499890\n0.75 1.038486\nName: 6836, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11152601874292814, std values: 0.921408933709288, min values: -2.116008317253216, max values: 2.72887840009294, median values: 0.0503391120338187, and quantile values: 0.25 -0.580187\n0.50 0.050339\n0.75 0.786853\nName: 6837, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2795315625410509, std values: 0.7787367653818739, min values: -2.572123985342288, max values: 4.0, median values: 0.3227417995452157, and quantile values: 0.25 -0.228116\n0.50 0.322742\n0.75 0.804106\nName: 6838, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39889964427395075, std values: 0.8021470730918298, min values: -2.27710446206836, max values: 3.0, median values: 0.4455203613337563, and quantile values: 0.25 -0.149042\n0.50 0.445520\n0.75 1.020101\nName: 6839, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3127843797848154, std values: 0.9934083232318119, min values: -2.9278427058120164, max values: 6.0, median values: -0.430433423956374, and quantile values: 0.25 -1.167844\n0.50 -0.430433\n0.75 0.395902\nName: 6840, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40827337974011946, std values: 0.9813158796044956, min values: -3.24173864501462, max values: 3.1888787873512885, median values: -0.4516634717177731, and quantile values: 0.25 -1.177429\n0.50 -0.451663\n0.75 0.281519\nName: 6841, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.031078816916503167, std values: 0.9612206066724798, min values: -2.419133598913117, max values: 4.243835016543704, median values: -0.0452625414849045, and quantile values: 0.25 -0.693588\n0.50 -0.045263\n0.75 0.674030\nName: 6842, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.015063054660055305, std values: 0.7518757309491657, min values: -2.2915911556076085, max values: 3.022367128892113, median values: -0.0080121827368466, and quantile values: 0.25 -0.486890\n0.50 -0.008012\n0.75 0.492403\nName: 6843, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15492554580150894, std values: 0.9322337264003255, min values: -2.1798712735263623, max values: 3.2936960268109283, median values: -0.2585048924735638, and quantile values: 0.25 -0.820576\n0.50 -0.258505\n0.75 0.394381\nName: 6844, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2116167390434234, std values: 0.7531272800845911, min values: -2.3184884946917497, max values: 6.0, median values: 0.2259682632937757, and quantile values: 0.25 -0.249624\n0.50 0.225968\n0.75 0.675247\nName: 6845, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7568208987855346, std values: 1.0875101537814877, min values: -2.7428415536925543, max values: 5.0, median values: 0.8865446506641653, and quantile values: 0.25 0.096602\n0.50 0.886545\n0.75 1.602462\nName: 6846, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4446901343771738, std values: 0.7514669005609959, min values: -2.221075353514828, max values: 3.477886732511886, median values: 0.4289452278356692, and quantile values: 0.25 -0.009029\n0.50 0.428945\n0.75 0.910377\nName: 6847, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12591361068183193, std values: 0.87289552606813, min values: -2.748993280390358, max values: 3.103622965243153, median values: -0.2364501215554537, and quantile values: 0.25 -0.755983\n0.50 -0.236450\n0.75 0.440144\nName: 6848, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10073725853300887, std values: 0.7705553711998788, min values: -2.3893642989164, max values: 3.3760121766849016, median values: 0.1423341359957293, and quantile values: 0.25 -0.422719\n0.50 0.142334\n0.75 0.589500\nName: 6849, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12192869958055837, std values: 0.8006232218494619, min values: -2.003124127133922, max values: 6.0, median values: -0.1860493456183292, and quantile values: 0.25 -0.728488\n0.50 -0.186049\n0.75 0.400075\nName: 6850, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14768410524910627, std values: 0.9690221694230013, min values: -2.5624611946462936, max values: 5.0, median values: -0.2084192108480385, and quantile values: 0.25 -0.807153\n0.50 -0.208419\n0.75 0.513271\nName: 6851, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.046634449359378195, std values: 0.7566961737135809, min values: -2.011631448118009, max values: 3.0097288687560817, median values: 0.0788791582620791, and quantile values: 0.25 -0.468018\n0.50 0.078879\n0.75 0.547193\nName: 6852, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16956965844434504, std values: 1.267925040598392, min values: -3.045947208515832, max values: 6.0, median values: 0.3627261110998111, and quantile values: 0.25 -0.445307\n0.50 0.362726\n0.75 0.950239\nName: 6853, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43382800277175226, std values: 0.809467961869383, min values: -2.021990593288096, max values: 3.528773265847577, median values: 0.3930017305187818, and quantile values: 0.25 -0.107805\n0.50 0.393002\n0.75 0.989868\nName: 6854, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.020587169413031098, std values: 0.9832543619659863, min values: -2.727901130262228, max values: 4.0, median values: 0.1343821226173858, and quantile values: 0.25 -0.486504\n0.50 0.134382\n0.75 0.611830\nName: 6855, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05018504211790253, std values: 0.813350650809915, min values: -2.688157591415518, max values: 5.0, median values: 0.0805292871272893, and quantile values: 0.25 -0.395940\n0.50 0.080529\n0.75 0.542913\nName: 6856, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45146141497321624, std values: 0.8348060258112322, min values: -2.841647375415054, max values: 5.0, median values: 0.4985053717281049, and quantile values: 0.25 -0.092092\n0.50 0.498505\n0.75 1.067326\nName: 6857, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32916685954662367, std values: 0.9571260796068733, min values: -2.769191083399913, max values: 3.379902545505621, median values: -0.3452804507065511, and quantile values: 0.25 -0.955614\n0.50 -0.345280\n0.75 0.233263\nName: 6858, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10303866212537123, std values: 0.7504146438343346, min values: -2.45229857681487, max values: 3.598076523509904, median values: -0.1853818680556948, and quantile values: 0.25 -0.661006\n0.50 -0.185382\n0.75 0.392152\nName: 6859, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.009396886038345742, std values: 1.0815965214405145, min values: -2.608390851963037, max values: 5.0, median values: -0.0287908034440343, and quantile values: 0.25 -0.654229\n0.50 -0.028791\n0.75 0.726493\nName: 6860, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0390825209630384, std values: 1.1406302574001557, min values: -2.673549169958716, max values: 6.0, median values: -0.0013494267494316, and quantile values: 0.25 -0.677415\n0.50 -0.001349\n0.75 0.675285\nName: 6861, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34181911993417097, std values: 0.8187009579690099, min values: -2.5039074859839925, max values: 4.0, median values: -0.4673444681954581, and quantile values: 0.25 -0.926614\n0.50 -0.467344\n0.75 0.176445\nName: 6862, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18725945053857967, std values: 0.8995965033564768, min values: -2.623568901859613, max values: 4.0, median values: 0.2828371278826716, and quantile values: 0.25 -0.341795\n0.50 0.282837\n0.75 0.763711\nName: 6863, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13636927042533473, std values: 0.8475987406639107, min values: -2.9029979285382743, max values: 6.0, median values: 0.1599523732323261, and quantile values: 0.25 -0.510673\n0.50 0.159952\n0.75 0.802931\nName: 6864, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.684572598280809, std values: 0.9900093804648489, min values: -2.732564679617164, max values: 3.0, median values: -0.8141151394889514, and quantile values: 0.25 -1.424825\n0.50 -0.814115\n0.75 -0.023989\nName: 6865, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1121462931457274, std values: 0.8644799050361407, min values: -2.6117120822772133, max values: 5.0, median values: -0.239464959977576, and quantile values: 0.25 -0.739448\n0.50 -0.239465\n0.75 0.434534\nName: 6866, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16515997856207792, std values: 1.0037565720757744, min values: -2.073524544085168, max values: 3.667275230673496, median values: 0.0706313137910596, and quantile values: 0.25 -0.541245\n0.50 0.070631\n0.75 0.796067\nName: 6867, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4504648152325808, std values: 0.849412982024651, min values: -2.4960309093026924, max values: 3.0, median values: -0.5935344194326323, and quantile values: 0.25 -1.103402\n0.50 -0.593534\n0.75 0.093605\nName: 6868, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4743715048928636, std values: 0.9061939575352329, min values: -2.486556664247513, max values: 3.0, median values: -0.5819800893740992, and quantile values: 0.25 -1.15702\n0.50 -0.58198\n0.75 0.11989\nName: 6869, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29889487022591077, std values: 1.138227774590919, min values: -2.041071882478405, max values: 3.434669824302974, median values: 0.2578451353651407, and quantile values: 0.25 -0.686745\n0.50 0.257845\n0.75 1.217124\nName: 6870, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6272245102867138, std values: 0.8090620660864328, min values: -2.1238235090034925, max values: 5.0, median values: 0.7254030701448215, and quantile values: 0.25 0.118021\n0.50 0.725403\n0.75 1.166916\nName: 6871, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21005360311011487, std values: 0.8463344166162446, min values: -2.4564928597243227, max values: 4.026668017837955, median values: 0.2685619485664413, and quantile values: 0.25 -0.361330\n0.50 0.268562\n0.75 0.791306\nName: 6872, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6764092280381149, std values: 0.9439187774928017, min values: -2.0433753720662127, max values: 6.0, median values: 0.7528725192889709, and quantile values: 0.25 0.012668\n0.50 0.752873\n0.75 1.430471\nName: 6873, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5109648195949399, std values: 1.1229410290919186, min values: -2.56026492390943, max values: 4.0, median values: 0.5961639592868011, and quantile values: 0.25 -0.305787\n0.50 0.596164\n0.75 1.422776\nName: 6874, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.057846791205995896, std values: 0.8143539004786814, min values: -2.7648443048846945, max values: 2.967906073290372, median values: -0.1621710316868241, and quantile values: 0.25 -0.621123\n0.50 -0.162171\n0.75 0.429733\nName: 6875, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27855149705655186, std values: 0.7866798206400033, min values: -2.6850842010492566, max values: 6.0, median values: -0.383956394748107, and quantile values: 0.25 -0.834305\n0.50 -0.383956\n0.75 0.177986\nName: 6876, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18728502499591757, std values: 0.7545767629970754, min values: -2.5569229852416258, max values: 4.0, median values: -0.2301841603899732, and quantile values: 0.25 -0.682359\n0.50 -0.230184\n0.75 0.235046\nName: 6877, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11374559054571008, std values: 0.8811985801147821, min values: -2.154393341810852, max values: 5.0, median values: -0.2371793198517876, and quantile values: 0.25 -0.719540\n0.50 -0.237179\n0.75 0.383292\nName: 6878, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0168515274003262, std values: 1.0567885578773628, min values: -2.6820581866633817, max values: 3.455472209455805, median values: -0.1218293251299327, and quantile values: 0.25 -0.741186\n0.50 -0.121829\n0.75 0.736663\nName: 6879, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05129713736688913, std values: 1.0143894963995526, min values: -2.579952672199424, max values: 6.0, median values: -0.0821513103483384, and quantile values: 0.25 -0.743648\n0.50 -0.082151\n0.75 0.755448\nName: 6880, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01812038104900462, std values: 0.878144062965579, min values: -3.0133870328644434, max values: 3.3483277116524426, median values: 0.0849024941569403, and quantile values: 0.25 -0.557130\n0.50 0.084902\n0.75 0.630937\nName: 6881, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40409634119669946, std values: 1.0222577006407867, min values: -2.0221093080959105, max values: 3.670892362631932, median values: 0.3966810067178374, and quantile values: 0.25 -0.402133\n0.50 0.396681\n0.75 1.237146\nName: 6882, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2213652446055194, std values: 0.7995457375123174, min values: -2.4147479614044456, max values: 5.0, median values: 0.2917910881042461, and quantile values: 0.25 -0.321814\n0.50 0.291791\n0.75 0.744162\nName: 6883, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07115405279263884, std values: 0.761437265854851, min values: -2.6117120822772133, max values: 5.0, median values: -0.1201117324329323, and quantile values: 0.25 -0.589725\n0.50 -0.120112\n0.75 0.395607\nName: 6884, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.006456996173892607, std values: 1.0152847326689085, min values: -2.838932175687192, max values: 4.0, median values: 0.1145226732965748, and quantile values: 0.25 -0.688037\n0.50 0.114523\n0.75 0.725152\nName: 6885, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17126384733311872, std values: 0.8362701919490848, min values: -2.22755280317155, max values: 4.0, median values: -0.220744802099597, and quantile values: 0.25 -0.806581\n0.50 -0.220745\n0.75 0.394406\nName: 6886, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1011499352679976, std values: 0.8932613609416813, min values: -2.2381293757427367, max values: 5.0, median values: -0.169871057888944, and quantile values: 0.25 -0.782976\n0.50 -0.169871\n0.75 0.494541\nName: 6887, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.034868500346511, std values: 0.8650908134208938, min values: -1.949636060316365, max values: 3.867701659180865, median values: -0.0873458937427131, and quantile values: 0.25 -0.585231\n0.50 -0.087346\n0.75 0.578754\nName: 6888, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.276789909721246, std values: 1.0974149281887011, min values: -2.739804196611005, max values: 6.0, median values: 0.4375965784776972, and quantile values: 0.25 -0.406057\n0.50 0.437597\n0.75 1.168973\nName: 6889, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07572556080668325, std values: 0.8149945887024193, min values: -2.289924666460716, max values: 6.0, median values: -0.1450888287831982, and quantile values: 0.25 -0.618116\n0.50 -0.145089\n0.75 0.405092\nName: 6890, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1352279916603629, std values: 0.7671101501406996, min values: -2.196708653609315, max values: 6.0, median values: -0.1097421734692978, and quantile values: 0.25 -0.668073\n0.50 -0.109742\n0.75 0.355181\nName: 6891, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.057388554801317486, std values: 1.0149231072706062, min values: -2.891990595045606, max values: 6.0, median values: -0.0130815467941376, and quantile values: 0.25 -0.607154\n0.50 -0.013082\n0.75 0.727201\nName: 6892, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40770155420165755, std values: 0.8385852571450565, min values: -2.3333312203517527, max values: 3.627976272701048, median values: -0.5202340417343395, and quantile values: 0.25 -1.066908\n0.50 -0.520234\n0.75 0.145757\nName: 6893, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.408711656424266, std values: 0.8399483000450725, min values: -2.13876869940687, max values: 4.0, median values: -0.5152132041686935, and quantile values: 0.25 -1.018876\n0.50 -0.515213\n0.75 0.082863\nName: 6894, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3140921309799149, std values: 0.9338368499968944, min values: -2.0266920753422344, max values: 3.9048392686725855, median values: 0.287426227893939, and quantile values: 0.25 -0.286106\n0.50 0.287426\n0.75 0.902073\nName: 6895, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04018063793105477, std values: 1.0230321017384993, min values: -2.7428415536925543, max values: 5.0, median values: 0.1864136191313655, and quantile values: 0.25 -0.505816\n0.50 0.186414\n0.75 0.714117\nName: 6896, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2134521114055459, std values: 0.9792227220270536, min values: -2.679056533720636, max values: 5.0, median values: -0.1695113992124798, and quantile values: 0.25 -0.745070\n0.50 -0.169511\n0.75 0.417740\nName: 6897, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0114208751032192, std values: 0.8729078706537714, min values: -2.6117120822772133, max values: 5.0, median values: 0.04388420717559, and quantile values: 0.25 -0.612034\n0.50 0.043884\n0.75 0.653731\nName: 6898, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07958403779168675, std values: 0.7453602428318096, min values: -1.9730063726131395, max values: 2.905256439312199, median values: 0.1025404501293311, and quantile values: 0.25 -0.394560\n0.50 0.102540\n0.75 0.521106\nName: 6899, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08153902197518448, std values: 0.7694005914907132, min values: -2.783691185534105, max values: 3.1106274661862763, median values: 0.0550962577286725, and quantile values: 0.25 -0.426471\n0.50 0.055096\n0.75 0.570206\nName: 6900, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11297360356349771, std values: 0.8548580696500935, min values: -2.5682675825126706, max values: 5.0, median values: -0.1990807856881535, and quantile values: 0.25 -0.742528\n0.50 -0.199081\n0.75 0.455426\nName: 6901, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19245354662884748, std values: 0.7918669965666105, min values: -2.120068558723452, max values: 3.0362913622068968, median values: -0.2736194829257375, and quantile values: 0.25 -0.803269\n0.50 -0.273619\n0.75 0.342121\nName: 6902, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.020740175429999827, std values: 0.9665025085548126, min values: -3.0363117572416627, max values: 5.0, median values: 0.0281213446338301, and quantile values: 0.25 -0.528647\n0.50 0.028121\n0.75 0.652968\nName: 6903, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.352956929586608, std values: 0.8450494004768626, min values: -2.0198682482092503, max values: 3.169414082461771, median values: -0.4670353024287316, and quantile values: 0.25 -1.019902\n0.50 -0.467035\n0.75 0.211273\nName: 6904, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42715948719821034, std values: 0.8374682466229434, min values: -2.841647375415054, max values: 5.0, median values: -0.4667382343848669, and quantile values: 0.25 -1.069513\n0.50 -0.466738\n0.75 0.148639\nName: 6905, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6071766974821374, std values: 1.216086967902014, min values: -2.825926939679757, max values: 3.2328207660681025, median values: -0.4606259112792695, and quantile values: 0.25 -1.707316\n0.50 -0.460626\n0.75 0.341892\nName: 6906, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2898505723012123, std values: 0.8612246035261437, min values: -2.5122218748354936, max values: 3.349054967837474, median values: 0.4005193056099133, and quantile values: 0.25 -0.208468\n0.50 0.400519\n0.75 0.897842\nName: 6907, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5801796921616053, std values: 0.9635386055682599, min values: -2.623568901859613, max values: 4.243835016543704, median values: 0.683367165191638, and quantile values: 0.25 0.036050\n0.50 0.683367\n0.75 1.268453\nName: 6908, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16202933855334908, std values: 1.0220461164183374, min values: -2.1067975134574946, max values: 3.197902420311553, median values: -0.2345934673477108, and quantile values: 0.25 -1.002537\n0.50 -0.234593\n0.75 0.577745\nName: 6909, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08207493710389453, std values: 0.8716599177568982, min values: -2.572123985342288, max values: 4.0, median values: 0.0319119966008982, and quantile values: 0.25 -0.525317\n0.50 0.031912\n0.75 0.623705\nName: 6910, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.027880127655444578, std values: 0.8461374162544096, min values: -2.9898739724800576, max values: 2.9128356588262627, median values: 0.0663671073745015, and quantile values: 0.25 -0.596939\n0.50 0.066367\n0.75 0.632013\nName: 6911, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06817477910944483, std values: 0.8522908127449322, min values: -2.1227739687253626, max values: 3.709787027503053, median values: -0.0127393424784434, and quantile values: 0.25 -0.554791\n0.50 -0.012739\n0.75 0.632484\nName: 6912, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5687641213632367, std values: 1.060950083544774, min values: -3.074005993202373, max values: 2.9245279250138942, median values: -0.6523560788753624, and quantile values: 0.25 -1.460291\n0.50 -0.652356\n0.75 0.197101\nName: 6913, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6865315681601452, std values: 0.8539524360078797, min values: -1.945090151114412, max values: 6.0, median values: 0.803230787721434, and quantile values: 0.25 0.098075\n0.50 0.803231\n0.75 1.342337\nName: 6914, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31058768856171076, std values: 1.1131705927476303, min values: -2.4902145713898545, max values: 3.760287110694155, median values: 0.2906421975787657, and quantile values: 0.25 -0.493149\n0.50 0.290642\n0.75 1.176778\nName: 6915, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5034093694454316, std values: 0.985225891238155, min values: -2.3956757135390148, max values: 3.247416277295021, median values: -0.6991041808033496, and quantile values: 0.25 -1.281702\n0.50 -0.699104\n0.75 0.132132\nName: 6916, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.279097209235091, std values: 1.0196934211642399, min values: -2.92272757463548, max values: 6.0, median values: -0.1504065695353655, and quantile values: 0.25 -0.799624\n0.50 -0.150407\n0.75 0.392836\nName: 6917, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.014245778670508517, std values: 0.868441905172757, min values: -2.5728773084320773, max values: 6.0, median values: -0.105748459641881, and quantile values: 0.25 -0.634998\n0.50 -0.105748\n0.75 0.537692\nName: 6918, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08714771836237717, std values: 0.8984983427663187, min values: -2.240740315114864, max values: 4.0, median values: 0.0260008842475088, and quantile values: 0.25 -0.522135\n0.50 0.026001\n0.75 0.667666\nName: 6919, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7316765872263805, std values: 1.1427328385214006, min values: -2.727901130262228, max values: 4.0, median values: -0.6546726589037071, and quantile values: 0.25 -1.806450\n0.50 -0.654673\n0.75 0.084011\nName: 6920, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.009599386146321385, std values: 0.793900545487622, min values: -1.989601414953614, max values: 5.0, median values: -0.0152212086103046, and quantile values: 0.25 -0.549720\n0.50 -0.015221\n0.75 0.476053\nName: 6921, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3617789301258145, std values: 0.778834836201021, min values: -2.1548749249906303, max values: 5.0, median values: 0.4436355672838279, and quantile values: 0.25 -0.165269\n0.50 0.443636\n0.75 0.906292\nName: 6922, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2231681516369088, std values: 0.8936396740233484, min values: -2.6635706018350787, max values: 3.100239690363688, median values: -0.3914192375622798, and quantile values: 0.25 -0.895616\n0.50 -0.391419\n0.75 0.341871\nName: 6923, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2084223184869308, std values: 0.9531555797609828, min values: -2.6023368942328267, max values: 3.096891534584617, median values: -0.2143154985254075, and quantile values: 0.25 -0.986730\n0.50 -0.214315\n0.75 0.482014\nName: 6924, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5210527011273205, std values: 1.7185968891940246, min values: -3.05087304133376, max values: 5.0, median values: -0.8309167601606018, and quantile values: 0.25 -2.053002\n0.50 -0.830917\n0.75 0.739758\nName: 6925, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.009749199550663811, std values: 0.7821179162007359, min values: -2.1067975134574946, max values: 3.496479817235339, median values: -0.0023870872180521, and quantile values: 0.25 -0.552897\n0.50 -0.002387\n0.75 0.470755\nName: 6926, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1232775864253535, std values: 0.8556631767295816, min values: -2.8680719719444903, max values: 2.9325508639431663, median values: -0.1200913378900288, and quantile values: 0.25 -0.672072\n0.50 -0.120091\n0.75 0.405361\nName: 6927, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07437916822340669, std values: 0.8973131401203073, min values: -2.8563982925340614, max values: 4.0, median values: -0.0471209994155536, and quantile values: 0.25 -0.612148\n0.50 -0.047121\n0.75 0.491066\nName: 6928, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6067460966504189, std values: 1.0629194701263596, min values: -2.6270253558526173, max values: 4.0, median values: -0.6472862250771215, and quantile values: 0.25 -1.467767\n0.50 -0.647286\n0.75 0.151966\nName: 6929, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.055939872852970376, std values: 0.8315101866318452, min values: -2.475778245535816, max values: 4.278004674434932, median values: -0.1669723791742636, and quantile values: 0.25 -0.670623\n0.50 -0.166972\n0.75 0.493491\nName: 6930, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08873643240231052, std values: 1.0256617426548942, min values: -2.5122218748354936, max values: 3.434669824302974, median values: 0.1475640457390627, and quantile values: 0.25 -0.633560\n0.50 0.147564\n0.75 0.760057\nName: 6931, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.006606914138356206, std values: 0.8261907199252918, min values: -2.1695974540436334, max values: 4.0, median values: 0.0372968750904449, and quantile values: 0.25 -0.602954\n0.50 0.037297\n0.75 0.571291\nName: 6932, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08676645797190445, std values: 1.0650164994733458, min values: -2.1587143377696023, max values: 3.103622965243153, median values: 0.0679068164290831, and quantile values: 0.25 -0.728988\n0.50 0.067907\n0.75 0.901080\nName: 6933, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.515295659702983, std values: 0.8699469986906849, min values: -2.684072796644972, max values: 6.0, median values: 0.5841997716014462, and quantile values: 0.25 0.099951\n0.50 0.584200\n0.75 1.057779\nName: 6934, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2278347407686105, std values: 0.8990738782039884, min values: -2.623568901859613, max values: 4.0, median values: 0.2250078175060651, and quantile values: 0.25 -0.318633\n0.50 0.225008\n0.75 0.847010\nName: 6935, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3559090439911013, std values: 1.0334972761789376, min values: -2.6668673616981367, max values: 4.0, median values: 0.4620522867470866, and quantile values: 0.25 -0.186133\n0.50 0.462052\n0.75 1.000221\nName: 6936, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21370122323415516, std values: 0.9335341146919371, min values: -3.0133870328644434, max values: 3.4758930087721422, median values: 0.1313259446169019, and quantile values: 0.25 -0.319436\n0.50 0.131326\n0.75 0.769259\nName: 6937, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16898611515241338, std values: 1.079901421300439, min values: -2.869671295224012, max values: 6.0, median values: 0.0397637127779458, and quantile values: 0.25 -0.704088\n0.50 0.039764\n0.75 0.973198\nName: 6938, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.008128822344162142, std values: 0.9056828226653989, min values: -2.876502173242568, max values: 3.3014869995452325, median values: -0.0201876876126569, and quantile values: 0.25 -0.566327\n0.50 -0.020188\n0.75 0.573260\nName: 6939, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22989133194251354, std values: 0.933377642263219, min values: -2.673124659932621, max values: 6.0, median values: -0.1696073060469929, and quantile values: 0.25 -0.830061\n0.50 -0.169607\n0.75 0.439709\nName: 6940, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1700430902019357, std values: 0.9886780981223954, min values: -2.7939007019027, max values: 3.709787027503053, median values: 0.0643065115769885, and quantile values: 0.25 -0.489172\n0.50 0.064307\n0.75 0.788820\nName: 6941, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40930497371783037, std values: 0.883498186872698, min values: -3.1175233493066874, max values: 3.0362913622068968, median values: 0.5188787335616949, and quantile values: 0.25 -0.059973\n0.50 0.518879\n0.75 1.006185\nName: 6942, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.311687975649688, std values: 1.0191029259729136, min values: -2.264034258932616, max values: 3.415255285860171, median values: 0.3394661233315331, and quantile values: 0.25 -0.409970\n0.50 0.339466\n0.75 0.988344\nName: 6943, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.022582775730562703, std values: 0.8256212091424469, min values: -3.3364384128287203, max values: 3.306454397423372, median values: 0.020090680265821, and quantile values: 0.25 -0.537856\n0.50 0.020091\n0.75 0.476238\nName: 6944, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5783674220975838, std values: 0.8900385852546517, min values: -2.226424194672579, max values: 4.0, median values: -0.7014253871385231, and quantile values: 0.25 -1.324229\n0.50 -0.701425\n0.75 0.046034\nName: 6945, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.48390367182798233, std values: 0.858840496509952, min values: -2.4823451998031074, max values: 3.071284484560209, median values: -0.5595512838683627, and quantile values: 0.25 -1.073361\n0.50 -0.559551\n0.75 0.074563\nName: 6946, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04399935846651452, std values: 0.9979279406175215, min values: -2.071166690331113, max values: 3.197902420311553, median values: 0.0469790353423418, and quantile values: 0.25 -0.761786\n0.50 0.046979\n0.75 0.798372\nName: 6947, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24582079924917005, std values: 1.0652116896049737, min values: -2.632854336056873, max values: 3.1485882570365185, median values: 0.3632484234578523, and quantile values: 0.25 -0.364284\n0.50 0.363248\n0.75 0.959231\nName: 6948, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25673343608746685, std values: 1.1059143910596294, min values: -2.679056533720636, max values: 5.0, median values: 0.379631663936083, and quantile values: 0.25 -0.269105\n0.50 0.379632\n0.75 1.018392\nName: 6949, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17383377505325148, std values: 0.7624458895783633, min values: -2.276157892386055, max values: 5.0, median values: 0.2130757830734008, and quantile values: 0.25 -0.347152\n0.50 0.213076\n0.75 0.684956\nName: 6950, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.009191946255700894, std values: 0.8568685259584972, min values: -2.442256129120324, max values: 6.0, median values: 0.0297468445601572, and quantile values: 0.25 -0.608219\n0.50 0.029747\n0.75 0.630735\nName: 6951, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13157672703069148, std values: 0.7950507515428344, min values: -2.570190864790501, max values: 3.066111439712683, median values: -0.1126434642406346, and quantile values: 0.25 -0.672340\n0.50 -0.112643\n0.75 0.372361\nName: 6952, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44562967409910365, std values: 0.9360966539126248, min values: -1.940410205930981, max values: 5.0, median values: 0.3538474582984167, and quantile values: 0.25 -0.157764\n0.50 0.353847\n0.75 0.989332\nName: 6953, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40887388222767357, std values: 0.9338541931016474, min values: -2.8121055320525654, max values: 5.0, median values: 0.5428811985441501, and quantile values: 0.25 -0.117699\n0.50 0.542881\n0.75 1.028456\nName: 6954, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05763711002560342, std values: 1.0272295228983384, min values: -2.5743883495350026, max values: 5.0, median values: 0.2257209418736745, and quantile values: 0.25 -0.550187\n0.50 0.225721\n0.75 0.811870\nName: 6955, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14701898279875458, std values: 0.7670198749394139, min values: -2.58513369695146, max values: 4.278004674434932, median values: -0.2655944931717385, and quantile values: 0.25 -0.666078\n0.50 -0.265594\n0.75 0.314632\nName: 6956, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34987091418986455, std values: 0.9444002918047504, min values: -2.098259549910112, max values: 3.9905524164385566, median values: 0.2303494226145957, and quantile values: 0.25 -0.311014\n0.50 0.230349\n0.75 0.992378\nName: 6957, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2609929186853588, std values: 1.0471205772515093, min values: -2.5774281843044924, max values: 4.0, median values: -0.3282210461073244, and quantile values: 0.25 -1.162740\n0.50 -0.328221\n0.75 0.524900\nName: 6958, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.048466889955773, std values: 0.8315748496684332, min values: -3.0133870328644434, max values: 2.6611168939663066, median values: 0.1273825054676577, and quantile values: 0.25 -0.425566\n0.50 0.127383\n0.75 0.560113\nName: 6959, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23828076437250964, std values: 0.8023119519829648, min values: -2.7257183488872623, max values: 5.0, median values: -0.312517414809957, and quantile values: 0.25 -0.829311\n0.50 -0.312517\n0.75 0.288431\nName: 6960, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14378182408222995, std values: 0.9117916430606743, min values: -2.783691185534105, max values: 3.0148736195915853, median values: 0.0583337922086653, and quantile values: 0.25 -0.523358\n0.50 0.058334\n0.75 0.765288\nName: 6961, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09939589848148661, std values: 1.1269105202096785, min values: -2.8246479422601736, max values: 6.0, median values: 0.0976717800668826, and quantile values: 0.25 -0.761593\n0.50 0.097672\n0.75 0.711283\nName: 6962, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28807690539616676, std values: 0.8523054788257902, min values: -2.6899145007874274, max values: 3.709787027503053, median values: 0.3317899172207357, and quantile values: 0.25 -0.270081\n0.50 0.331790\n0.75 0.840867\nName: 6963, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.023778713689823837, std values: 0.8972154312430249, min values: -2.592001024453234, max values: 4.0, median values: -0.1134016253585239, and quantile values: 0.25 -0.700476\n0.50 -0.113402\n0.75 0.579742\nName: 6964, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11247392859488925, std values: 0.7894810037203768, min values: -2.3808324358856225, max values: 3.709787027503053, median values: 0.1350313659462358, and quantile values: 0.25 -0.410209\n0.50 0.135031\n0.75 0.609938\nName: 6965, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12767055256992516, std values: 1.0186911195552502, min values: -2.191559373369988, max values: 6.0, median values: 0.1357995021246502, and quantile values: 0.25 -0.664325\n0.50 0.135800\n0.75 0.888930\nName: 6966, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25547731269248813, std values: 0.7800469995446931, min values: -2.1238235090034925, max values: 3.20751086257212, median values: 0.3086736828757153, and quantile values: 0.25 -0.235160\n0.50 0.308674\n0.75 0.746306\nName: 6967, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4368208280130686, std values: 0.8381668580231393, min values: -2.556631690482005, max values: 3.0, median values: -0.4796912591528177, and quantile values: 0.25 -1.006368\n0.50 -0.479691\n0.75 0.056430\nName: 6968, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2919834143799449, std values: 0.8234287768432655, min values: -2.0999281303014694, max values: 5.0, median values: 0.274134134733674, and quantile values: 0.25 -0.258529\n0.50 0.274134\n0.75 0.819420\nName: 6969, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13872078681808492, std values: 0.7633729868211107, min values: -2.5046447434119337, max values: 4.0, median values: 0.1527508849704463, and quantile values: 0.25 -0.362461\n0.50 0.152751\n0.75 0.619485\nName: 6970, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1679133598899623, std values: 0.8676906281709506, min values: -2.536941606705235, max values: 4.0, median values: -0.2583827067502158, and quantile values: 0.25 -0.787024\n0.50 -0.258383\n0.75 0.397269\nName: 6971, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.035019277235218554, std values: 0.8511320346456241, min values: -2.541693081833126, max values: 3.8226908388056136, median values: 0.0300912647624078, and quantile values: 0.25 -0.509763\n0.50 0.030091\n0.75 0.536600\nName: 6972, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49027134233442765, std values: 0.851190388386174, min values: -2.070226764228553, max values: 6.0, median values: -0.668729878427024, and quantile values: 0.25 -1.098075\n0.50 -0.668730\n0.75 -0.018956\nName: 6973, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3871887090643819, std values: 0.9522674515589158, min values: -2.7542003929097176, max values: 5.0, median values: -0.3681506010453673, and quantile values: 0.25 -0.968302\n0.50 -0.368151\n0.75 0.185550\nName: 6974, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27025631102737535, std values: 0.9640249129754163, min values: -2.9666813816765707, max values: 4.0, median values: -0.2258835097049283, and quantile values: 0.25 -0.852808\n0.50 -0.225884\n0.75 0.342388\nName: 6975, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1358186500886986, std values: 1.120324366206004, min values: -2.608390851963037, max values: 5.0, median values: 0.1501928141710993, and quantile values: 0.25 -0.674732\n0.50 0.150193\n0.75 0.999519\nName: 6976, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36717119582514246, std values: 0.9563942426496117, min values: -2.6072570508709387, max values: 4.0, median values: -0.3313994479820281, and quantile values: 0.25 -1.023367\n0.50 -0.331399\n0.75 0.230281\nName: 6977, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5309908662019724, std values: 0.8933440997906534, min values: -2.100357000476065, max values: 3.2328207660681025, median values: 0.6638790227185803, and quantile values: 0.25 -0.074646\n0.50 0.663879\n0.75 1.165342\nName: 6978, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04422797219561063, std values: 0.8712595920734789, min values: -2.6117120822772133, max values: 5.0, median values: -0.0098316931519352, and quantile values: 0.25 -0.599596\n0.50 -0.009832\n0.75 0.649902\nName: 6979, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38082362010372683, std values: 0.9689036968334805, min values: -2.037986255847039, max values: 5.0, median values: 0.445338736968468, and quantile values: 0.25 -0.383191\n0.50 0.445339\n0.75 1.181704\nName: 6980, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.379458967900924, std values: 0.9344470937990511, min values: -2.1149759989911825, max values: 3.071353155688046, median values: -0.400194312107926, and quantile values: 0.25 -1.119799\n0.50 -0.400194\n0.75 0.310562\nName: 6981, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09819441874847896, std values: 0.8629922307047269, min values: -2.148081053432388, max values: 5.0, median values: 0.0497013754563425, and quantile values: 0.25 -0.500346\n0.50 0.049701\n0.75 0.659594\nName: 6982, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2557688257663235, std values: 0.9862572422124207, min values: -2.5820330744015787, max values: 4.0, median values: -0.2779677247074994, and quantile values: 0.25 -0.913424\n0.50 -0.277968\n0.75 0.235065\nName: 6983, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.374835927114541, std values: 0.780933600766503, min values: -2.0477799217050063, max values: 5.0, median values: 0.4100595695311931, and quantile values: 0.25 -0.112182\n0.50 0.410060\n0.75 0.856708\nName: 6984, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3484806852682831, std values: 0.9258872159737921, min values: -2.222049826555007, max values: 3.379902545505621, median values: 0.2382976690417417, and quantile values: 0.25 -0.320897\n0.50 0.238298\n0.75 1.025004\nName: 6985, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17360888508467553, std values: 1.0092817362449031, min values: -2.837386543755612, max values: 5.0, median values: 0.1502394561520483, and quantile values: 0.25 -0.480561\n0.50 0.150239\n0.75 0.878905\nName: 6986, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35161685287938144, std values: 0.7557759151654996, min values: -2.4737574649270093, max values: 3.0046625681201315, median values: 0.3329638239411637, and quantile values: 0.25 -0.113833\n0.50 0.332964\n0.75 0.837586\nName: 6987, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08573572288511612, std values: 0.8308859144337489, min values: -2.7939007019027, max values: 3.5021977227593246, median values: 0.1680729832719318, and quantile values: 0.25 -0.411298\n0.50 0.168073\n0.75 0.625687\nName: 6988, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7968734108908837, std values: 0.8578082778369422, min values: -2.8282523283494294, max values: 3.5021977227593246, median values: -0.9692260178928768, and quantile values: 0.25 -1.441356\n0.50 -0.969226\n0.75 -0.313366\nName: 6989, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5255420286509939, std values: 0.7959597470593343, min values: -1.8139926654737228, max values: 6.0, median values: 0.5956971714747297, and quantile values: 0.25 0.020215\n0.50 0.595697\n0.75 1.035451\nName: 6990, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2850045710566684, std values: 1.0285777071297024, min values: -2.769191083399913, max values: 3.0, median values: -0.1232745483375559, and quantile values: 0.25 -0.748456\n0.50 -0.123275\n0.75 0.350302\nName: 6991, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34989085081684823, std values: 0.8000841613265942, min values: -2.45229857681487, max values: 3.176672644814091, median values: -0.4325605390427711, and quantile values: 0.25 -0.913478\n0.50 -0.432561\n0.75 0.172077\nName: 6992, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38953722761190496, std values: 0.9057938211268376, min values: -2.521882829270847, max values: 4.0, median values: -0.447767195931832, and quantile values: 0.25 -1.082275\n0.50 -0.447767\n0.75 0.222212\nName: 6993, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08597618642692466, std values: 0.8658636218068329, min values: -2.104667097879677, max values: 4.0, median values: 0.0088402346342775, and quantile values: 0.25 -0.503642\n0.50 0.008840\n0.75 0.669795\nName: 6994, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38525373830658255, std values: 0.8661159811998179, min values: -1.8911636282289404, max values: 4.243835016543704, median values: 0.3069679212207219, and quantile values: 0.25 -0.168169\n0.50 0.306968\n0.75 0.849481\nName: 6995, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5221549247681626, std values: 0.851373631079696, min values: -2.558791007225312, max values: 4.243835016543704, median values: -0.5499472914345384, and quantile values: 0.25 -1.038226\n0.50 -0.549947\n0.75 0.002534\nName: 6996, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17557218098400842, std values: 0.698086657676641, min values: -2.0221093080959105, max values: 3.721862465295849, median values: 0.1974378041700075, and quantile values: 0.25 -0.280883\n0.50 0.197438\n0.75 0.610635\nName: 6997, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01568954489826817, std values: 0.8599736910176229, min values: -2.2477784840641744, max values: 4.0, median values: -0.1132076087690178, and quantile values: 0.25 -0.655488\n0.50 -0.113208\n0.75 0.539852\nName: 6998, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04729496870579461, std values: 0.9150806536502641, min values: -2.90140378513671, max values: 3.867701659180865, median values: 0.0229274778850764, and quantile values: 0.25 -0.670800\n0.50 0.022927\n0.75 0.586409\nName: 6999, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43438958567764374, std values: 0.930221274555016, min values: -2.799990485600992, max values: 5.0, median values: -0.5479065690692889, and quantile values: 0.25 -1.182788\n0.50 -0.547907\n0.75 0.185069\nName: 7000, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.360896265238817, std values: 0.8054655507684323, min values: -1.9185378486756348, max values: 6.0, median values: 0.3037095862300606, and quantile values: 0.25 -0.174093\n0.50 0.303710\n0.75 0.886871\nName: 7001, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33802710859608104, std values: 1.0792574652379214, min values: -2.576018450691392, max values: 4.0, median values: 0.376890383823434, and quantile values: 0.25 -0.403594\n0.50 0.376890\n0.75 1.170244\nName: 7002, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22395928794709316, std values: 1.0464806411600267, min values: -2.9029979285382743, max values: 6.0, median values: -0.2635125260894223, and quantile values: 0.25 -1.031733\n0.50 -0.263513\n0.75 0.505709\nName: 7003, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3191864211866451, std values: 0.9000019564210648, min values: -1.9476036443939304, max values: 3.3760121766849016, median values: 0.3561163133093409, and quantile values: 0.25 -0.360321\n0.50 0.356116\n0.75 1.002537\nName: 7004, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23579397216332315, std values: 0.8763680228344489, min values: -2.556631690482005, max values: 3.280245386470253, median values: 0.3326216381203172, and quantile values: 0.25 -0.317785\n0.50 0.332622\n0.75 0.854524\nName: 7005, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5354190375416358, std values: 0.868442337879476, min values: -2.730840794324401, max values: 3.5908526919299577, median values: 0.5829263672709798, and quantile values: 0.25 -0.035648\n0.50 0.582926\n0.75 1.144745\nName: 7006, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33760093636513216, std values: 0.8896831737025935, min values: -2.1144606839090367, max values: 5.0, median values: -0.4317246476033306, and quantile values: 0.25 -1.059033\n0.50 -0.431725\n0.75 0.271062\nName: 7007, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1533124494444352, std values: 0.9360318417402385, min values: -2.6466193392086392, max values: 4.0, median values: -0.1600785973036943, and quantile values: 0.25 -0.686092\n0.50 -0.160079\n0.75 0.451154\nName: 7008, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20212630108050827, std values: 0.8353242880785244, min values: -2.838932175687192, max values: 4.0, median values: -0.2780074771156237, and quantile values: 0.25 -0.778090\n0.50 -0.278007\n0.75 0.339516\nName: 7009, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.606981623210774, std values: 0.8327595534040079, min values: -2.556631690482005, max values: 4.278004674434932, median values: 0.692928843053849, and quantile values: 0.25 0.051356\n0.50 0.692929\n0.75 1.172212\nName: 7010, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08362627138104986, std values: 1.039638580643805, min values: -2.5201815750705507, max values: 4.0, median values: -0.0981222469737208, and quantile values: 0.25 -0.768873\n0.50 -0.098122\n0.75 0.643860\nName: 7011, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3709705903918996, std values: 0.8742309041116548, min values: -3.530441124712342, max values: 3.17157439250477, median values: 0.4687948549913634, and quantile values: 0.25 -0.094252\n0.50 0.468795\n0.75 0.916144\nName: 7012, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0038496619179723096, std values: 0.8349286107965318, min values: -2.332253848077915, max values: 3.32433157891547, median values: -0.0997135250531452, and quantile values: 0.25 -0.605945\n0.50 -0.099714\n0.75 0.539003\nName: 7013, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4180503253363379, std values: 0.8030017445096399, min values: -2.230584937389726, max values: 3.867701659180865, median values: -0.5065981209326152, and quantile values: 0.25 -0.984021\n0.50 -0.506598\n0.75 0.078982\nName: 7014, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6719478198331913, std values: 0.9815243312145387, min values: -2.732564679617164, max values: 3.9905524164385566, median values: 0.7014253871385232, and quantile values: 0.25 -0.034321\n0.50 0.701425\n0.75 1.478940\nName: 7015, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30666801280251194, std values: 0.8801670202640632, min values: -2.64479559868397, max values: 6.0, median values: -0.4242398473925963, and quantile values: 0.25 -0.988210\n0.50 -0.424240\n0.75 0.279829\nName: 7016, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05286223095047821, std values: 0.8613023837495747, min values: -2.1606932778418275, max values: 3.3760121766849016, median values: 0.0193815070142049, and quantile values: 0.25 -0.636040\n0.50 0.019382\n0.75 0.516800\nName: 7017, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7288863265136007, std values: 0.8644051286769068, min values: -2.060842074965388, max values: 3.9905524164385566, median values: 0.7281645651487597, and quantile values: 0.25 0.124551\n0.50 0.728165\n0.75 1.315921\nName: 7018, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09998589432595763, std values: 0.7765982274144051, min values: -1.9714657939353928, max values: 4.243835016543704, median values: 0.0829576264647135, and quantile values: 0.25 -0.390338\n0.50 0.082958\n0.75 0.556237\nName: 7019, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02862586120935541, std values: 0.9781005083747629, min values: -3.1070421433302986, max values: 3.667275230673496, median values: -0.1085247697969293, and quantile values: 0.25 -0.702393\n0.50 -0.108525\n0.75 0.625971\nName: 7020, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04829686857980702, std values: 0.7609318739976146, min values: -2.0878646323735364, max values: 3.336438412828754, median values: -0.0530380334392925, and quantile values: 0.25 -0.546452\n0.50 -0.053038\n0.75 0.398614\nName: 7021, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25603309238005206, std values: 0.7725454557363071, min values: -2.153087536306035, max values: 4.0, median values: -0.2966777396017961, and quantile values: 0.25 -0.772568\n0.50 -0.296678\n0.75 0.216106\nName: 7022, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24910051339456232, std values: 1.0384935501536086, min values: -2.475272102106495, max values: 4.0, median values: 0.2043390028548268, and quantile values: 0.25 -0.540534\n0.50 0.204339\n0.75 0.950478\nName: 7023, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21803404732730414, std values: 0.8792812722094727, min values: -2.564449278715455, max values: 3.247416277295021, median values: 0.2372268938302524, and quantile values: 0.25 -0.351015\n0.50 0.237227\n0.75 0.786423\nName: 7024, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.180743348493307, std values: 0.9343339990075705, min values: -2.607565022042742, max values: 4.0, median values: -0.2411435129514239, and quantile values: 0.25 -0.823525\n0.50 -0.241144\n0.75 0.442652\nName: 7025, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6268170206600787, std values: 0.9439624396276463, min values: -2.5563022890751474, max values: 4.0, median values: -0.7544737775048085, and quantile values: 0.25 -1.376210\n0.50 -0.754474\n0.75 0.025859\nName: 7026, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1536807708040404, std values: 0.8123330837556039, min values: -2.4657737907743, max values: 3.110498035652072, median values: 0.1787497180694407, and quantile values: 0.25 -0.376260\n0.50 0.178750\n0.75 0.673644\nName: 7027, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1514269216830473, std values: 1.1976339477935887, min values: -3.00972886875607, max values: 3.784832159836258, median values: 0.3818684043350915, and quantile values: 0.25 -0.364933\n0.50 0.381868\n0.75 0.916423\nName: 7028, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3896369274977801, std values: 0.9651657058141743, min values: -2.3942216519470576, max values: 4.243835016543704, median values: -0.3995380216292888, and quantile values: 0.25 -1.178035\n0.50 -0.399538\n0.75 0.285508\nName: 7029, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5065004573220172, std values: 0.9330902032190171, min values: -2.349293916724472, max values: 3.0, median values: -0.6888461936043222, and quantile values: 0.25 -1.251098\n0.50 -0.688846\n0.75 0.069068\nName: 7030, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38264849872600104, std values: 0.8254812108404573, min values: -2.049996677874803, max values: 4.243835016543704, median values: -0.4892591950003617, and quantile values: 0.25 -1.025097\n0.50 -0.489259\n0.75 0.129166\nName: 7031, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 1.0135014881172102, std values: 1.0292269866527655, min values: -1.917844427564773, max values: 3.784832159836258, median values: 1.1913120832774018, and quantile values: 0.25 0.284385\n0.50 1.191312\n0.75 1.834063\nName: 7032, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21748304853253728, std values: 1.1913710442511403, min values: -3.124705982383478, max values: 3.390469008396469, median values: 0.4980688592725573, and quantile values: 0.25 -0.356410\n0.50 0.498069\n0.75 1.042344\nName: 7033, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0035516437003922986, std values: 0.8593019114356144, min values: -2.93129584560762, max values: 6.0, median values: 0.0903356176226961, and quantile values: 0.25 -0.601964\n0.50 0.090336\n0.75 0.633325\nName: 7034, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6023384603279469, std values: 1.1594693409125876, min values: -2.93129584560762, max values: 6.0, median values: -0.5144846373912183, and quantile values: 0.25 -1.508090\n0.50 -0.514485\n0.75 0.138443\nName: 7035, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47489486422459554, std values: 0.9684047585423252, min values: -2.100754849305273, max values: 3.405671179043623, median values: 0.4392660097233189, and quantile values: 0.25 -0.264986\n0.50 0.439266\n0.75 1.311501\nName: 7036, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5009901195351582, std values: 0.8118163025666544, min values: -1.9890885222563244, max values: 3.434669824302974, median values: 0.5295580740508815, and quantile values: 0.25 -0.093207\n0.50 0.529558\n0.75 1.100269\nName: 7037, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07524245161195281, std values: 0.9032558040955212, min values: -2.4902145713898545, max values: 3.3483277116524426, median values: 0.0290856150108071, and quantile values: 0.25 -0.544477\n0.50 0.029086\n0.75 0.686815\nName: 7038, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20685155429874108, std values: 1.1563668206837971, min values: -2.9090251609554527, max values: 6.0, median values: 0.3735177600737845, and quantile values: 0.25 -0.477624\n0.50 0.373518\n0.75 1.045849\nName: 7039, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.008023284898936011, std values: 0.8261589277252351, min values: -2.64479559868397, max values: 6.0, median values: -0.019523340873319, and quantile values: 0.25 -0.566101\n0.50 -0.019523\n0.75 0.523408\nName: 7040, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 1.1296530010947463, std values: 1.1374877679950286, min values: -2.4960309093026924, max values: 4.026668017837955, median values: 1.0418201805713143, and quantile values: 0.25 0.272460\n0.50 1.041820\n0.75 2.078756\nName: 7041, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26088214743212623, std values: 0.7966175920566245, min values: -2.12073996675014, max values: 3.455472209455805, median values: -0.2961047626816868, and quantile values: 0.25 -0.826530\n0.50 -0.296105\n0.75 0.198189\nName: 7042, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11022288707600575, std values: 0.8680245849224614, min values: -2.442256129120324, max values: 6.0, median values: 0.0165518828896965, and quantile values: 0.25 -0.473760\n0.50 0.016552\n0.75 0.638651\nName: 7043, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22103653670103432, std values: 0.7574362524875784, min values: -1.966205087550403, max values: 4.278004674434932, median values: 0.1941533463494051, and quantile values: 0.25 -0.238870\n0.50 0.194153\n0.75 0.646840\nName: 7044, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38301894218696764, std values: 0.8177589762578705, min values: -2.4705236352348297, max values: 3.071284484560209, median values: 0.4544132902103278, and quantile values: 0.25 -0.178678\n0.50 0.454413\n0.75 0.963780\nName: 7045, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5192087506286613, std values: 1.0703838335996125, min values: -2.815821936576896, max values: 3.3483277116524426, median values: -0.6304665749859535, and quantile values: 0.25 -1.327464\n0.50 -0.630467\n0.75 0.240243\nName: 7046, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3093753745762226, std values: 0.78553801573915, min values: -2.041957069977206, max values: 5.0, median values: -0.3249304109673648, and quantile values: 0.25 -0.878172\n0.50 -0.324930\n0.75 0.186946\nName: 7047, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46817669112633675, std values: 0.8176191247818474, min values: -2.233577636815252, max values: 3.0932086550988465, median values: -0.504742577601268, and quantile values: 0.25 -1.068622\n0.50 -0.504743\n0.75 0.043581\nName: 7048, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5288294816231003, std values: 1.1066504118174834, min values: -2.919359491767569, max values: 5.0, median values: -0.3941253871704137, and quantile values: 0.25 -1.324413\n0.50 -0.394125\n0.75 0.193059\nName: 7049, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22709482331684003, std values: 0.7728980456802211, min values: -2.2423374092797945, max values: 3.258347009006034, median values: 0.2645946660314541, and quantile values: 0.25 -0.260036\n0.50 0.264595\n0.75 0.695543\nName: 7050, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26537874184381, std values: 0.9491456084024101, min values: -2.642042398333877, max values: 3.0, median values: 0.3665817756552663, and quantile values: 0.25 -0.295328\n0.50 0.366582\n0.75 0.893888\nName: 7051, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2575741928914274, std values: 0.742346243766627, min values: -2.0854901680147853, max values: 3.3636961113187773, median values: 0.2363529046231361, and quantile values: 0.25 -0.187161\n0.50 0.236353\n0.75 0.684341\nName: 7052, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9644071734370188, std values: 1.3451408282431594, min values: -2.727901130262228, max values: 4.0, median values: -1.6207345438050902, and quantile values: 0.25 -2.140874\n0.50 -1.620735\n0.75 0.231679\nName: 7053, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1186502397939195, std values: 0.7896922924670611, min values: -2.156806272086999, max values: 3.0, median values: -0.0867749964791719, and quantile values: 0.25 -0.686989\n0.50 -0.086775\n0.75 0.436977\nName: 7054, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12995135787989578, std values: 1.0998561628011503, min values: -3.045947208515832, max values: 6.0, median values: -0.1060336682325813, and quantile values: 0.25 -0.765915\n0.50 -0.106034\n0.75 0.638989\nName: 7055, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24664937905934667, std values: 0.9141474806560914, min values: -2.5743883495350026, max values: 5.0, median values: -0.2942062466677315, and quantile values: 0.25 -0.826375\n0.50 -0.294206\n0.75 0.355156\nName: 7056, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29407098283629024, std values: 1.002993284942712, min values: -2.769191083399913, max values: 3.0, median values: -0.0980315092159496, and quantile values: 0.25 -0.717139\n0.50 -0.098032\n0.75 0.352510\nName: 7057, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0134420224230771, std values: 1.265694809000613, min values: -3.0148736195915964, max values: 3.0, median values: 0.3154394236305569, and quantile values: 0.25 -0.653321\n0.50 0.315439\n0.75 0.979162\nName: 7058, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3516864840088763, std values: 1.3153267896166194, min values: -2.73836943861057, max values: 3.867701659180865, median values: 0.1980556314279169, and quantile values: 0.25 -0.565746\n0.50 0.198056\n0.75 1.280988\nName: 7059, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16418978304235393, std values: 1.1598537204205321, min values: -2.274066535534132, max values: 4.278004674434932, median values: -0.0299948089787958, and quantile values: 0.25 -0.662987\n0.50 -0.029995\n0.75 0.826448\nName: 7060, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0407042746949802, std values: 0.6997988346661217, min values: -2.2326669720655525, max values: 3.017846660960028, median values: 0.0882237463705726, and quantile values: 0.25 -0.437315\n0.50 0.088224\n0.75 0.511385\nName: 7061, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24855448902519978, std values: 1.050198452716338, min values: -2.87684958111886, max values: 3.4566816047670264, median values: 0.3921219107411604, and quantile values: 0.25 -0.417995\n0.50 0.392122\n0.75 0.968962\nName: 7062, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3382184525111218, std values: 1.191694990530304, min values: -3.21990804472754, max values: 5.0, median values: -0.1158965072776818, and quantile values: 0.25 -1.167477\n0.50 -0.115897\n0.75 0.540617\nName: 7063, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09877761502727248, std values: 0.7869235006865991, min values: -2.6899145007874274, max values: 3.397048482165858, median values: -0.1506230746276433, and quantile values: 0.25 -0.650413\n0.50 -0.150623\n0.75 0.405660\nName: 7064, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1054545968093239, std values: 0.9267812070513292, min values: -1.9360016274207128, max values: 3.8226908388056136, median values: -0.0292233701086167, and quantile values: 0.25 -0.599936\n0.50 -0.029223\n0.75 0.719433\nName: 7065, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16338780353694796, std values: 0.7657747902002981, min values: -3.002493140275396, max values: 5.0, median values: 0.1821839538979628, and quantile values: 0.25 -0.314369\n0.50 0.182184\n0.75 0.633964\nName: 7066, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29447825722466064, std values: 0.8253101848731472, min values: -2.8889090019311845, max values: 5.0, median values: -0.337914281631078, and quantile values: 0.25 -0.793497\n0.50 -0.337914\n0.75 0.229558\nName: 7067, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2824431698143734, std values: 0.9399057726662666, min values: -2.143127839894852, max values: 4.0, median values: 0.3029021885661212, and quantile values: 0.25 -0.370030\n0.50 0.302902\n0.75 0.954964\nName: 7068, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04375387693324678, std values: 0.9586743503784289, min values: -2.245752867605861, max values: 3.5427287984042666, median values: -0.0604939386076438, and quantile values: 0.25 -0.639023\n0.50 -0.060494\n0.75 0.656074\nName: 7069, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.045726764713205935, std values: 0.7553843222921027, min values: -2.8998169811239416, max values: 2.682936086059739, median values: 0.0288380920801208, and quantile values: 0.25 -0.454492\n0.50 0.028838\n0.75 0.517319\nName: 7070, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10675424222445834, std values: 1.097419798796021, min values: -2.5293911731823453, max values: 3.17157439250477, median values: 0.1807193054512662, and quantile values: 0.25 -0.430999\n0.50 0.180719\n0.75 0.777674\nName: 7071, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07518577954754513, std values: 0.9416758182561275, min values: -2.8327898928872086, max values: 4.0, median values: -0.0448970028748657, and quantile values: 0.25 -0.687024\n0.50 -0.044897\n0.75 0.567621\nName: 7072, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44635362933629363, std values: 0.8108660479880718, min values: -2.0384258727554823, max values: 3.667275230673496, median values: 0.4959834478331035, and quantile values: 0.25 -0.083527\n0.50 0.495983\n0.75 0.987447\nName: 7073, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10114218738123332, std values: 0.83659758453409, min values: -2.0185991952196947, max values: 4.0, median values: 0.1558679448832331, and quantile values: 0.25 -0.520203\n0.50 0.155868\n0.75 0.703118\nName: 7074, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.593634348233536, std values: 0.9736309839732038, min values: -2.887007053971579, max values: 3.477886732511886, median values: -0.6238193457160649, and quantile values: 0.25 -1.373313\n0.50 -0.623819\n0.75 0.109956\nName: 7075, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03286456075268151, std values: 0.8428784907596615, min values: -2.56026492390943, max values: 4.026668017837955, median values: 0.0902881554515425, and quantile values: 0.25 -0.541892\n0.50 0.090288\n0.75 0.538514\nName: 7076, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4676124798189866, std values: 0.832654673215452, min values: -2.7542003929097176, max values: 5.0, median values: -0.5698445763028888, and quantile values: 0.25 -1.051057\n0.50 -0.569845\n0.75 0.043903\nName: 7077, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17045576366946624, std values: 0.8441729870869555, min values: -2.020286901424804, max values: 6.0, median values: 0.075115205355742, and quantile values: 0.25 -0.433963\n0.50 0.075115\n0.75 0.735724\nName: 7078, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.275209890621021, std values: 1.0019689737886233, min values: -4.243835016543869, max values: 2.9919443268184467, median values: -0.4270740092071923, and quantile values: 0.25 -1.087255\n0.50 -0.427074\n0.75 0.452862\nName: 7079, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40294404691843216, std values: 1.0591947486690736, min values: -2.8680719719444903, max values: 3.670892362631932, median values: 0.4414791076858091, and quantile values: 0.25 -0.284769\n0.50 0.441479\n0.75 0.977807\nName: 7080, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15947711989272087, std values: 0.7344930925182862, min values: -2.057690731496465, max values: 2.757591239753548, median values: -0.2176548406390737, and quantile values: 0.25 -0.671588\n0.50 -0.217655\n0.75 0.286542\nName: 7081, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3686098639396784, std values: 1.0311745631905318, min values: -2.724017888297919, max values: 3.667275230673496, median values: -0.4843666439640497, and quantile values: 0.25 -1.063033\n0.50 -0.484367\n0.75 0.219616\nName: 7082, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07986126888039184, std values: 0.7606475788516803, min values: -1.9906287733065848, max values: 5.0, median values: 0.0991909881871899, and quantile values: 0.25 -0.426531\n0.50 0.099191\n0.75 0.611133\nName: 7083, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08302344485285928, std values: 0.9434611537216685, min values: -2.622709665346679, max values: 4.026668017837955, median values: -0.0133569639889469, and quantile values: 0.25 -0.620636\n0.50 -0.013357\n0.75 0.521527\nName: 7084, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33564567971917597, std values: 0.9861866235540465, min values: -2.3771558481240653, max values: 4.0, median values: -0.4449212026374142, and quantile values: 0.25 -1.132857\n0.50 -0.444921\n0.75 0.340793\nName: 7085, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09439160393434808, std values: 0.7568835514015013, min values: -2.397622375720726, max values: 4.0, median values: -0.058410422934126, and quantile values: 0.25 -0.602031\n0.50 -0.058410\n0.75 0.408137\nName: 7086, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12144444336025444, std values: 1.0326955147698398, min values: -2.102258330765142, max values: 5.0, median values: 0.0333562926857316, and quantile values: 0.25 -0.694961\n0.50 0.033356\n0.75 0.797010\nName: 7087, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21499203408448464, std values: 0.846631835552405, min values: -2.580492024304656, max values: 3.216771431244405, median values: -0.1972412385846096, and quantile values: 0.25 -0.863533\n0.50 -0.197241\n0.75 0.321594\nName: 7088, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5671522709737598, std values: 0.8273402913210749, min values: -1.8457343678239269, max values: 5.0, median values: 0.5091045086960347, and quantile values: 0.25 -0.014734\n0.50 0.509105\n0.75 1.157773\nName: 7089, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12773147153029896, std values: 0.8113125034443266, min values: -2.783691185534105, max values: 3.076680642207697, median values: -0.1833600866768397, and quantile values: 0.25 -0.695604\n0.50 -0.183360\n0.75 0.408383\nName: 7090, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2095728312127992, std values: 0.9448081121487578, min values: -2.8327898928872086, max values: 4.0, median values: -0.1252172375174888, and quantile values: 0.25 -0.719005\n0.50 -0.125217\n0.75 0.394532\nName: 7091, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2541878832069749, std values: 0.9543125083643229, min values: -2.8246479422601736, max values: 6.0, median values: -0.1632035603481786, and quantile values: 0.25 -0.748273\n0.50 -0.163204\n0.75 0.346585\nName: 7092, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5368191096086913, std values: 0.8017851513513831, min values: -2.2146321721295776, max values: 3.438667023696733, median values: -0.5889653526824266, and quantile values: 0.25 -1.130222\n0.50 -0.588965\n0.75 -0.068381\nName: 7093, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.019692515273157414, std values: 1.1226015347178053, min values: -2.5820330744015787, max values: 4.0, median values: -0.1042750184290804, and quantile values: 0.25 -0.755857\n0.50 -0.104275\n0.75 0.672874\nName: 7094, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15690502802112505, std values: 0.913904491094249, min values: -2.6899145007874274, max values: 3.0932086550988465, median values: -0.1917092260565685, and quantile values: 0.25 -0.875906\n0.50 -0.191709\n0.75 0.499381\nName: 7095, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4716931750741574, std values: 0.9271874624748535, min values: -2.789830374413015, max values: 3.721862465295849, median values: -0.6123611565858443, and quantile values: 0.25 -1.213728\n0.50 -0.612361\n0.75 0.123746\nName: 7096, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06531206812934909, std values: 0.9682194069274515, min values: -2.5569229852416258, max values: 4.0, median values: 0.0140629936779176, and quantile values: 0.25 -0.557845\n0.50 0.014063\n0.75 0.657834\nName: 7097, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21196649891977876, std values: 1.175318819212302, min values: -2.769191083399913, max values: 3.05919958255637, median values: -0.245080373744749, and quantile values: 0.25 -0.830800\n0.50 -0.245080\n0.75 0.565957\nName: 7098, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28970233565190107, std values: 0.8889200847686853, min values: -2.693453432157769, max values: 3.670892362631932, median values: 0.371339227808929, and quantile values: 0.25 -0.317408\n0.50 0.371339\n0.75 0.935335\nName: 7099, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29226414533566025, std values: 0.935564699651197, min values: -2.687282238908512, max values: 3.5908526919299577, median values: 0.3780339072918854, and quantile values: 0.25 -0.246744\n0.50 0.378034\n0.75 0.877306\nName: 7100, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8713504242822261, std values: 1.4773999775873092, min values: -3.21990804472754, max values: 5.0, median values: -1.566707672016031, and quantile values: 0.25 -2.137148\n0.50 -1.566708\n0.75 0.537560\nName: 7101, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07841029195274457, std values: 1.0461054716275489, min values: -2.579723791499676, max values: 4.0, median values: 0.1608381712592912, and quantile values: 0.25 -0.730176\n0.50 0.160838\n0.75 0.911614\nName: 7102, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24738918443927316, std values: 0.9408283310966937, min values: -2.202326176624768, max values: 3.477886732511886, median values: -0.3371136495933829, and quantile values: 0.25 -1.001859\n0.50 -0.337114\n0.75 0.407545\nName: 7103, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13963385960709546, std values: 0.7607342600908265, min values: -1.926317376542831, max values: 6.0, median values: -0.1961887106711723, and quantile values: 0.25 -0.658773\n0.50 -0.196189\n0.75 0.302734\nName: 7104, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.025959359441893946, std values: 0.976804108771264, min values: -2.4705236352348297, max values: 3.4217036547572275, median values: -0.0449868678275507, and quantile values: 0.25 -0.765657\n0.50 -0.044987\n0.75 0.705178\nName: 7105, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.462525843047623, std values: 0.8458646597594001, min values: -2.0211405625505043, max values: 3.0876051304901218, median values: 0.4867566123543831, and quantile values: 0.25 -0.154363\n0.50 0.486757\n0.75 1.127254\nName: 7106, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0399602791974864, std values: 0.9557639296410345, min values: -2.215291168881953, max values: 3.379902545505621, median values: -0.0659493507485488, and quantile values: 0.25 -0.817568\n0.50 -0.065949\n0.75 0.654258\nName: 7107, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23474613474673026, std values: 1.037612188482862, min values: -2.525362520654854, max values: 5.0, median values: 0.151029457329058, and quantile values: 0.25 -0.414232\n0.50 0.151029\n0.75 0.865766\nName: 7108, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10151232735813553, std values: 0.882712488746486, min values: -2.475778245535816, max values: 4.0, median values: -0.1423811734582354, and quantile values: 0.25 -0.786757\n0.50 -0.142381\n0.75 0.486473\nName: 7109, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2843044716881662, std values: 0.7544633959493328, min values: -2.6023368942328267, max values: 3.0, median values: 0.3174149865461453, and quantile values: 0.25 -0.187234\n0.50 0.317415\n0.75 0.767513\nName: 7110, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2675237029419388, std values: 0.9690287044954303, min values: -2.63315074164461, max values: 6.0, median values: 0.3850238681826424, and quantile values: 0.25 -0.257870\n0.50 0.385024\n0.75 0.893994\nName: 7111, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6406328371029417, std values: 0.9168283584395401, min values: -2.622709665346679, max values: 3.197902420311553, median values: -0.6883069603056772, and quantile values: 0.25 -1.372606\n0.50 -0.688307\n0.75 -0.041987\nName: 7112, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4129033270700248, std values: 0.8910488421930762, min values: -2.5422910691068967, max values: 3.0, median values: -0.482079095229837, and quantile values: 0.25 -1.137555\n0.50 -0.482079\n0.75 0.198960\nName: 7113, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.270536103070326, std values: 1.0260570491112129, min values: -2.607565022042742, max values: 4.0, median values: 0.3714911611366652, and quantile values: 0.25 -0.385617\n0.50 0.371491\n0.75 1.050352\nName: 7114, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3395699051139399, std values: 0.7463065486149018, min values: -2.2915911556076085, max values: 3.867701659180865, median values: 0.3428479692276959, and quantile values: 0.25 -0.106143\n0.50 0.342848\n0.75 0.765805\nName: 7115, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38204937715249354, std values: 0.9514583041169407, min values: -2.072580019544124, max values: 3.216771431244405, median values: 0.3775015363298301, and quantile values: 0.25 -0.302787\n0.50 0.377502\n0.75 1.128602\nName: 7116, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08188320814838743, std values: 0.7718845348385184, min values: -2.3344113078233786, max values: 3.141939528112806, median values: -0.0925190992376021, and quantile values: 0.25 -0.602558\n0.50 -0.092519\n0.75 0.371505\nName: 7117, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.029784262172700013, std values: 0.7765218575339913, min values: -2.0533907262983035, max values: 5.0, median values: 0.0320336988497639, and quantile values: 0.25 -0.504501\n0.50 0.032034\n0.75 0.519698\nName: 7118, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.000893308575069401, std values: 0.7507413429543488, min values: -2.300042081328127, max values: 4.0, median values: 0.0008508422634266, and quantile values: 0.25 -0.501251\n0.50 0.000851\n0.75 0.463322\nName: 7119, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31715472717604143, std values: 0.8706119472540907, min values: -2.6850842010492566, max values: 6.0, median values: 0.2703902622959294, and quantile values: 0.25 -0.259434\n0.50 0.270390\n0.75 0.864494\nName: 7120, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09597443427210817, std values: 0.920077360196195, min values: -2.12073996675014, max values: 3.0, median values: 0.0735963500811944, and quantile values: 0.25 -0.569855\n0.50 0.073596\n0.75 0.686501\nName: 7121, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0065601349356146565, std values: 1.0182263945128698, min values: -2.6660404517971856, max values: 4.0, median values: 0.1718893745852022, and quantile values: 0.25 -0.546683\n0.50 0.171889\n0.75 0.698964\nName: 7122, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5201977896153572, std values: 1.1812293852697853, min values: -2.64479559868397, max values: 6.0, median values: 0.5815042729065036, and quantile values: 0.25 -0.299445\n0.50 0.581504\n0.75 1.447768\nName: 7123, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19635184249366722, std values: 1.114372716654779, min values: -2.497627580948261, max values: 3.0, median values: -0.1559515730816642, and quantile values: 0.25 -1.080240\n0.50 -0.155952\n0.75 0.737241\nName: 7124, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05257590968186336, std values: 1.0979567756671893, min values: -2.0688202952550605, max values: 6.0, median values: -0.1516988479514314, and quantile values: 0.25 -1.004177\n0.50 -0.151699\n0.75 0.786628\nName: 7125, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1339527359523388, std values: 1.1871613273607087, min values: -2.9109251266226006, max values: 3.3636961113187773, median values: 0.1532481437106757, and quantile values: 0.25 -0.724156\n0.50 0.153248\n0.75 1.128554\nName: 7126, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16003743957960323, std values: 0.7302969789896898, min values: -2.098643832039722, max values: 2.726926458805895, median values: 0.1336318546930844, and quantile values: 0.25 -0.278376\n0.50 0.133632\n0.75 0.598995\nName: 7127, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22375858598568193, std values: 0.7568121596591146, min values: -2.439930808627264, max values: 4.0, median values: 0.2611752390165964, and quantile values: 0.25 -0.261487\n0.50 0.261175\n0.75 0.718933\nName: 7128, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3301820928885687, std values: 1.0628821514377882, min values: -3.12109453895821, max values: 3.4758930087721422, median values: -0.3532715654458892, and quantile values: 0.25 -1.045523\n0.50 -0.353272\n0.75 0.433660\nName: 7129, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.021482116547864392, std values: 0.9825055080159423, min values: -2.0490968263769656, max values: 4.0, median values: -0.0568006076703481, and quantile values: 0.25 -0.871469\n0.50 -0.056801\n0.75 0.713141\nName: 7130, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03266070837873223, std values: 1.015175147593677, min values: -2.7428415536925543, max values: 5.0, median values: -0.1473434865948784, and quantile values: 0.25 -0.689476\n0.50 -0.147343\n0.75 0.569887\nName: 7131, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5875466857344751, std values: 1.1238860702130646, min values: -2.8834699678265463, max values: 5.0, median values: -0.5443399698075748, and quantile values: 0.25 -1.364457\n0.50 -0.544340\n0.75 0.253010\nName: 7132, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.254170386909324, std values: 0.8630354183820369, min values: -2.3243737477358213, max values: 3.598076523509904, median values: 0.339615184617601, and quantile values: 0.25 -0.346460\n0.50 0.339615\n0.75 0.846340\nName: 7133, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49452410624365206, std values: 1.3216645100514022, min values: -2.100754849305273, max values: 6.0, median values: 0.3914379814443073, and quantile values: 0.25 -0.590909\n0.50 0.391438\n0.75 1.645067\nName: 7134, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20940358173783255, std values: 0.8359892976835634, min values: -2.264034258932616, max values: 3.438667023696733, median values: 0.2495465794353735, and quantile values: 0.25 -0.349434\n0.50 0.249547\n0.75 0.714590\nName: 7135, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.040789399659168085, std values: 0.8508793371928735, min values: -2.5399045531878324, max values: 4.0, median values: -0.0275140342592468, and quantile values: 0.25 -0.532074\n0.50 -0.027514\n0.75 0.425144\nName: 7136, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47540360012755023, std values: 0.867187445438407, min values: -2.589966702820638, max values: 6.0, median values: 0.4861979416520598, and quantile values: 0.25 -0.073380\n0.50 0.486198\n0.75 1.038320\nName: 7137, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39991425912645173, std values: 0.8610951093871991, min values: -2.5689076212724418, max values: 5.0, median values: -0.4504598655647392, and quantile values: 0.25 -1.067326\n0.50 -0.450460\n0.75 0.146752\nName: 7138, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33021685957601543, std values: 1.029875644740386, min values: -2.740813841730953, max values: 3.1888787873512885, median values: -0.4043747614038046, and quantile values: 0.25 -0.969323\n0.50 -0.404375\n0.75 0.296393\nName: 7139, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0334770723049833, std values: 1.2677394034524005, min values: -2.879968592907284, max values: 4.0, median values: -1.3238176514349238, and quantile values: 0.25 -2.094294\n0.50 -1.323818\n0.75 -0.072480\nName: 7140, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43070904497842927, std values: 0.7800854757865441, min values: -2.083073092108871, max values: 5.0, median values: 0.4980688592725573, and quantile values: 0.25 -0.042782\n0.50 0.498069\n0.75 0.944072\nName: 7141, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33536919020423583, std values: 1.2290024507432515, min values: -2.6652153608723106, max values: 5.0, median values: 0.3932522830478502, and quantile values: 0.25 -0.369086\n0.50 0.393252\n0.75 1.250075\nName: 7142, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26322721621734757, std values: 0.8375869604483528, min values: -2.0903611962432427, max values: 4.0, median values: -0.3931927772524558, and quantile values: 0.25 -0.861448\n0.50 -0.393193\n0.75 0.234360\nName: 7143, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05243151204796654, std values: 0.8832643159777582, min values: -2.6404955031131814, max values: 6.0, median values: -0.0310370866517531, and quantile values: 0.25 -0.683402\n0.50 -0.031037\n0.75 0.554206\nName: 7144, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2676184392815964, std values: 0.7879647683990668, min values: -2.2915911556076085, max values: 3.236860296211547, median values: 0.3269243129701628, and quantile values: 0.25 -0.224641\n0.50 0.326924\n0.75 0.776817\nName: 7145, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0728537928941051, std values: 0.82985157208092, min values: -2.275531026921315, max values: 6.0, median values: 0.113809002333726, and quantile values: 0.25 -0.536163\n0.50 0.113809\n0.75 0.683332\nName: 7146, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3846938035198227, std values: 0.8912638385812383, min values: -2.3893642989164, max values: 3.163266084685921, median values: 0.4557930772901606, and quantile values: 0.25 -0.271601\n0.50 0.455793\n0.75 1.091233\nName: 7147, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11047910288967039, std values: 0.9298867587929975, min values: -2.134987510471223, max values: 4.0, median values: -0.2655089102550623, and quantile values: 0.25 -0.791759\n0.50 -0.265509\n0.75 0.453259\nName: 7148, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12820792886138255, std values: 0.7630098367390408, min values: -2.27710446206836, max values: 3.0, median values: 0.2034220303172116, and quantile values: 0.25 -0.388257\n0.50 0.203422\n0.75 0.703930\nName: 7149, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1403587198238557, std values: 1.032074935939973, min values: -2.64479559868397, max values: 6.0, median values: -0.0877425489883726, and quantile values: 0.25 -0.695002\n0.50 -0.087743\n0.75 0.518690\nName: 7150, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17990071286829268, std values: 0.8679355448155756, min values: -2.521882829270847, max values: 4.0, median values: -0.26670724837806, and quantile values: 0.25 -0.803877\n0.50 -0.266707\n0.75 0.382830\nName: 7151, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2507235903897152, std values: 0.8176317852717179, min values: -2.1232100101643527, max values: 6.0, median values: -0.2529205644250029, and quantile values: 0.25 -0.850227\n0.50 -0.252921\n0.75 0.277271\nName: 7152, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 1.0055397163972055, std values: 0.9561754445482927, min values: -1.8918226667770155, max values: 3.247416277295021, median values: 1.1198428335745385, and quantile values: 0.25 0.314632\n0.50 1.119843\n0.75 1.758544\nName: 7153, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23459863246253995, std values: 0.8232957634534943, min values: -2.2423374092797945, max values: 4.278004674434932, median values: 0.2554758202880753, and quantile values: 0.25 -0.319877\n0.50 0.255476\n0.75 0.801432\nName: 7154, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10372006772553229, std values: 0.8323710342003198, min values: -2.3184884946917497, max values: 6.0, median values: 0.0497289488234866, and quantile values: 0.25 -0.457665\n0.50 0.049729\n0.75 0.580022\nName: 7155, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17770700289895983, std values: 0.980203276522391, min values: -2.8531572940820533, max values: 6.0, median values: -0.2664218951010205, and quantile values: 0.25 -0.843192\n0.50 -0.266422\n0.75 0.501938\nName: 7156, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17228836006994658, std values: 0.8577072563230173, min values: -2.64479559868397, max values: 6.0, median values: -0.2261573612762236, and quantile values: 0.25 -0.712991\n0.50 -0.226157\n0.75 0.358612\nName: 7157, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6519966041946281, std values: 0.9156116363019466, min values: -2.070226764228553, max values: 5.0, median values: 0.753468840651168, and quantile values: 0.25 0.020894\n0.50 0.753469\n0.75 1.329130\nName: 7158, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32748050376921817, std values: 0.9059063284649247, min values: -2.657870006553045, max values: 3.0, median values: -0.4339929482284367, and quantile values: 0.25 -0.986103\n0.50 -0.433993\n0.75 0.263940\nName: 7159, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5123943391341943, std values: 0.9575782746322076, min values: -2.8680719719444903, max values: 3.096891534584617, median values: -0.5786233716810336, and quantile values: 0.25 -1.264032\n0.50 -0.578623\n0.75 0.133965\nName: 7160, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32901287504093063, std values: 1.0557761558955003, min values: -2.739804196611005, max values: 6.0, median values: 0.4457302459261809, and quantile values: 0.25 -0.376910\n0.50 0.445730\n0.75 1.156151\nName: 7161, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32752530399995283, std values: 1.0323964225531281, min values: -2.169311742921253, max values: 6.0, median values: 0.3462086464605381, and quantile values: 0.25 -0.455881\n0.50 0.346209\n0.75 1.191645\nName: 7162, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1132183855155254, std values: 1.179842686371975, min values: -2.9029979285382743, max values: 6.0, median values: 0.0146789809961617, and quantile values: 0.25 -0.858193\n0.50 0.014679\n0.75 0.790520\nName: 7163, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.016017996764505674, std values: 1.1222208794101944, min values: -2.1364528974665475, max values: 3.241738645014612, median values: -0.0110985710090491, and quantile values: 0.25 -0.993113\n0.50 -0.011099\n0.75 0.855953\nName: 7164, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6042805608716504, std values: 0.7869472464211306, min values: -2.5445249319512966, max values: 3.0, median values: -0.7552868182218434, and quantile values: 0.25 -1.184798\n0.50 -0.755287\n0.75 -0.132132\nName: 7165, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22514082053368506, std values: 0.9290735820190426, min values: -2.4960309093026924, max values: 3.784832159836258, median values: 0.3027868621724044, and quantile values: 0.25 -0.340753\n0.50 0.302787\n0.75 0.868253\nName: 7166, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04119204801118778, std values: 0.8115987543566766, min values: -1.9844958671694384, max values: 5.0, median values: -0.1076500138691016, and quantile values: 0.25 -0.587240\n0.50 -0.107650\n0.75 0.396319\nName: 7167, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15660510960421076, std values: 0.8829667982929659, min values: -2.3808324358856225, max values: 3.1290445144064547, median values: 0.2026636527047519, and quantile values: 0.25 -0.415517\n0.50 0.202664\n0.75 0.718898\nName: 7168, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08098212432618221, std values: 1.2065383460717096, min values: -2.684072796644972, max values: 6.0, median values: 0.1882919968072688, and quantile values: 0.25 -0.671174\n0.50 0.188292\n0.75 1.000454\nName: 7169, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.025276440276687254, std values: 1.0982194207344145, min values: -2.815821936576896, max values: 3.5427287984042666, median values: 0.1493482555146632, and quantile values: 0.25 -0.617651\n0.50 0.149348\n0.75 0.758375\nName: 7170, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45640158878749737, std values: 1.0623970022212952, min values: -2.740813841730953, max values: 3.670892362631932, median values: 0.6418287211495679, and quantile values: 0.25 -0.084895\n0.50 0.641829\n0.75 1.148350\nName: 7171, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43569467202225187, std values: 0.8197662807051488, min values: -2.1232984465035774, max values: 5.0, median values: -0.5621051337352615, and quantile values: 0.25 -1.029578\n0.50 -0.562105\n0.75 0.048019\nName: 7172, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1039915130236992, std values: 0.8825289208028063, min values: -2.841647375415054, max values: 5.0, median values: -0.1047303727815436, and quantile values: 0.25 -0.795233\n0.50 -0.104730\n0.75 0.594126\nName: 7173, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16296675457427268, std values: 0.8804295200890161, min values: -2.043510008966212, max values: 5.0, median values: -0.2626002434848895, and quantile values: 0.25 -0.867039\n0.50 -0.262600\n0.75 0.456954\nName: 7174, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1599751449937588, std values: 1.0486602609308335, min values: -2.891990595045606, max values: 6.0, median values: 0.3157749419282821, and quantile values: 0.25 -0.406707\n0.50 0.315775\n0.75 0.891820\nName: 7175, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4380065800276056, std values: 0.7344677640902247, min values: -1.92324274350822, max values: 3.760287110694155, median values: 0.4706422296472816, and quantile values: 0.25 -0.011699\n0.50 0.470642\n0.75 0.908503\nName: 7176, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.021426899163026095, std values: 0.9674409691630954, min values: -2.657750824678472, max values: 5.0, median values: -0.0146066431409075, and quantile values: 0.25 -0.591328\n0.50 -0.014607\n0.75 0.640211\nName: 7177, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2181675668280131, std values: 0.9443432599605698, min values: -2.8467638118011016, max values: 5.0, median values: -0.1569830773984111, and quantile values: 0.25 -0.705236\n0.50 -0.156983\n0.75 0.340199\nName: 7178, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09918934199470655, std values: 0.7421935030338961, min values: -2.300042081328127, max values: 4.0, median values: 0.1095220946858457, and quantile values: 0.25 -0.351367\n0.50 0.109522\n0.75 0.555241\nName: 7179, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05659399106071726, std values: 1.1351528813184781, min values: -2.7542003929097176, max values: 5.0, median values: 0.0864985678647985, and quantile values: 0.25 -0.792082\n0.50 0.086499\n0.75 0.745361\nName: 7180, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20689091940214846, std values: 0.8130840146953222, min values: -3.002493140275396, max values: 5.0, median values: -0.1615850788789806, and quantile values: 0.25 -0.701244\n0.50 -0.161585\n0.75 0.287053\nName: 7181, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13858586279428192, std values: 0.9526900319567633, min values: -2.730840794324401, max values: 3.397048482165858, median values: 0.0685163026477424, and quantile values: 0.25 -0.532380\n0.50 0.068516\n0.75 0.769058\nName: 7182, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4286702006119229, std values: 0.8597858960063196, min values: -2.572123985342288, max values: 4.0, median values: 0.4534963032374218, and quantile values: 0.25 -0.170520\n0.50 0.453496\n0.75 1.112508\nName: 7183, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.46145141923741817, std values: 1.0861398780791562, min values: -2.4564928597243227, max values: 4.278004674434932, median values: 0.4563008666327994, and quantile values: 0.25 -0.433479\n0.50 0.456301\n0.75 1.305648\nName: 7184, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11699863838900247, std values: 0.9598204972962028, min values: -2.63315074164461, max values: 6.0, median values: 0.1797104053031004, and quantile values: 0.25 -0.419333\n0.50 0.179710\n0.75 0.717080\nName: 7185, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0221767148953047, std values: 0.9760443262485865, min values: -2.5293911731823453, max values: 3.0, median values: -0.0517590313761084, and quantile values: 0.25 -0.621180\n0.50 -0.051759\n0.75 0.633628\nName: 7186, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3806839408187293, std values: 0.8056217549693074, min values: -2.261100711934107, max values: 5.0, median values: -0.4404636274944145, and quantile values: 0.25 -0.932865\n0.50 -0.440464\n0.75 0.098502\nName: 7187, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4912208748589971, std values: 0.8882099633845919, min values: -2.6117120822772133, max values: 5.0, median values: 0.4515064425367126, and quantile values: 0.25 -0.100550\n0.50 0.451506\n0.75 1.092633\nName: 7188, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2616483579934919, std values: 1.057571407330583, min values: -2.590643619371846, max values: 4.0, median values: -0.2965295557077404, and quantile values: 0.25 -1.083226\n0.50 -0.296530\n0.75 0.409970\nName: 7189, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13594030137288593, std values: 0.8424163596659221, min values: -2.960014365184806, max values: 6.0, median values: -0.1727011431292094, and quantile values: 0.25 -0.619146\n0.50 -0.172701\n0.75 0.360725\nName: 7190, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40122345670801074, std values: 1.033031409619735, min values: -2.538263448402477, max values: 4.0, median values: -0.4787383106275649, and quantile values: 0.25 -1.223798\n0.50 -0.478738\n0.75 0.326700\nName: 7191, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36962759351493685, std values: 0.8812123275903674, min values: -3.0363117572416627, max values: 3.32433157891547, median values: -0.5273967207432729, and quantile values: 0.25 -1.012535\n0.50 -0.527397\n0.75 0.158377\nName: 7192, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0949143242426243, std values: 0.852021744728116, min values: -2.0266920753422344, max values: 3.0, median values: -0.1769224230323823, and quantile values: 0.25 -0.772695\n0.50 -0.176922\n0.75 0.485826\nName: 7193, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5396550651239859, std values: 0.9733029808507008, min values: -2.8246479422601736, max values: 6.0, median values: 0.6432167006619819, and quantile values: 0.25 0.045914\n0.50 0.643217\n0.75 1.132318\nName: 7194, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11853290219060683, std values: 0.8544435248972724, min values: -2.641174291463747, max values: 6.0, median values: -0.1083869704094116, and quantile values: 0.25 -0.624398\n0.50 -0.108387\n0.75 0.397116\nName: 7195, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6435182448853474, std values: 0.8926634538945708, min values: -2.2295917953092714, max values: 6.0, median values: -0.7732102947229986, and quantile values: 0.25 -1.354397\n0.50 -0.773210\n0.75 -0.084143\nName: 7196, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09980781110199162, std values: 1.3335223616667822, min values: -3.0363117572416627, max values: 5.0, median values: -0.0798986496633009, and quantile values: 0.25 -1.146248\n0.50 -0.079899\n0.75 0.815688\nName: 7197, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6864001868812206, std values: 0.8496175582682023, min values: -2.0600063421362025, max values: 5.0, median values: 0.7587344474460626, and quantile values: 0.25 0.111656\n0.50 0.758734\n0.75 1.306682\nName: 7198, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7411761044760491, std values: 1.220300083042409, min values: -2.158745697961692, max values: 6.0, median values: 0.6743514632994017, and quantile values: 0.25 -0.226646\n0.50 0.674351\n0.75 1.781408\nName: 7199, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30505326964847934, std values: 0.8496352901385226, min values: -2.525362520654854, max values: 5.0, median values: 0.318740772696016, and quantile values: 0.25 -0.200286\n0.50 0.318741\n0.75 0.862573\nName: 7200, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17793551688779288, std values: 0.9017281038312062, min values: -2.6850842010492566, max values: 6.0, median values: 0.0993572469726997, and quantile values: 0.25 -0.439355\n0.50 0.099357\n0.75 0.806848\nName: 7201, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08641013896025823, std values: 0.9361476416320801, min values: -2.788272971802125, max values: 6.0, median values: 0.1906019930700634, and quantile values: 0.25 -0.489206\n0.50 0.190602\n0.75 0.721218\nName: 7202, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2073913456112095, std values: 1.3895522132744196, min values: -2.8531572940820533, max values: 4.278004674434932, median values: 0.5817281927087583, and quantile values: 0.25 -0.496355\n0.50 0.581728\n0.75 1.246138\nName: 7203, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2466784530466441, std values: 0.8647014083554329, min values: -2.094387655371891, max values: 5.0, median values: -0.2234910231982102, and quantile values: 0.25 -0.887668\n0.50 -0.223491\n0.75 0.296974\nName: 7204, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.052728474654141114, std values: 1.019262530491106, min values: -2.446475285346346, max values: 3.258347009006034, median values: 0.0231626332706791, and quantile values: 0.25 -0.797578\n0.50 0.023163\n0.75 0.845318\nName: 7205, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49904565730981576, std values: 0.8417038230253187, min values: -2.730840794324401, max values: 3.4217036547572275, median values: -0.6332237120641654, and quantile values: 0.25 -1.107321\n0.50 -0.633224\n0.75 0.006720\nName: 7206, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1208627138641804, std values: 0.8812714529990199, min values: -2.6652153608723106, max values: 3.0, median values: 0.0956243303868488, and quantile values: 0.25 -0.518346\n0.50 0.095624\n0.75 0.712288\nName: 7207, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25873318342990587, std values: 0.9179471259938824, min values: -3.00972886875607, max values: 3.415255285860171, median values: 0.3341646353286778, and quantile values: 0.25 -0.404524\n0.50 0.334165\n0.75 0.961977\nName: 7208, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24367928993488833, std values: 0.7518124989731079, min values: -2.349293916724472, max values: 3.5908526919299577, median values: -0.2543527295094294, and quantile values: 0.25 -0.760551\n0.50 -0.254353\n0.75 0.196912\nName: 7209, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11470656722067651, std values: 1.0442048949247802, min values: -2.5689076212724418, max values: 5.0, median values: 0.0835411910718423, and quantile values: 0.25 -0.722576\n0.50 0.083541\n0.75 0.971859\nName: 7210, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3483160170575004, std values: 1.0595397538663374, min values: -2.928515832252388, max values: 5.0, median values: -0.1719095402506566, and quantile values: 0.25 -0.946290\n0.50 -0.171910\n0.75 0.358024\nName: 7211, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23177649153681174, std values: 0.8173240234574962, min values: -2.010220823219501, max values: 2.879825373135674, median values: -0.3425340521741436, and quantile values: 0.25 -0.862566\n0.50 -0.342534\n0.75 0.301288\nName: 7212, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5085562294753657, std values: 1.1387771924896342, min values: -2.541693081833126, max values: 3.760287110694155, median values: -0.6527630765147254, and quantile values: 0.25 -1.337299\n0.50 -0.652763\n0.75 0.267582\nName: 7213, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4231161950299289, std values: 0.902915461315154, min values: -2.732564679617164, max values: 3.670892362631932, median values: -0.531175869439064, and quantile values: 0.25 -1.154125\n0.50 -0.531176\n0.75 0.191180\nName: 7214, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7318201219871366, std values: 0.9649299898449485, min values: -2.5293911731823453, max values: 3.2696814875916886, median values: -0.6954519111687886, and quantile values: 0.25 -1.459332\n0.50 -0.695452\n0.75 -0.040071\nName: 7215, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1663502271590186, std values: 0.7945605167133886, min values: -2.0558865589498763, max values: 3.627976272701048, median values: 0.1210549012415105, and quantile values: 0.25 -0.360498\n0.50 0.121055\n0.75 0.652736\nName: 7216, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.144362728023074, std values: 1.043873681550793, min values: -2.687115288423959, max values: 5.0, median values: 0.2501918024715776, and quantile values: 0.25 -0.580350\n0.50 0.250192\n0.75 0.902321\nName: 7217, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4363118325106955, std values: 0.9871932765950258, min values: -1.8081444600427428, max values: 4.243835016543704, median values: 0.3463329518647879, and quantile values: 0.25 -0.311766\n0.50 0.346333\n0.75 1.112046\nName: 7218, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.4547488532840103, std values: 1.4923849177280644, min values: -3.05087304133376, max values: 5.0, median values: -2.019656513402239, and quantile values: 0.25 -2.298133\n0.50 -2.019657\n0.75 -1.636672\nName: 7219, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2662132079054751, std values: 0.825079756243773, min values: -2.5774281843044924, max values: 6.0, median values: -0.3808158122813446, and quantile values: 0.25 -0.858876\n0.50 -0.380816\n0.75 0.247351\nName: 7220, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18555692061503345, std values: 0.9668411374104515, min values: -2.8680719719444903, max values: 3.4758930087721422, median values: -0.328270931468332, and quantile values: 0.25 -0.867486\n0.50 -0.328271\n0.75 0.370354\nName: 7221, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1128094263967557, std values: 0.7268540199513632, min values: -2.299460330888208, max values: 4.0, median values: 0.1122930164052141, and quantile values: 0.25 -0.373847\n0.50 0.112293\n0.75 0.570512\nName: 7222, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15504367700416066, std values: 1.0607705889912067, min values: -2.8121055320525654, max values: 5.0, median values: -0.0693045377928184, and quantile values: 0.25 -0.685494\n0.50 -0.069305\n0.75 0.463629\nName: 7223, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20169051395480792, std values: 0.8143114858683546, min values: -2.590643619371846, max values: 4.0, median values: -0.224640643128051, and quantile values: 0.25 -0.688427\n0.50 -0.224641\n0.75 0.279310\nName: 7224, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36188475151331423, std values: 0.9314647940193355, min values: -2.860922438481449, max values: 3.784832159836258, median values: 0.4429367704162875, and quantile values: 0.25 -0.171861\n0.50 0.442937\n0.75 0.940980\nName: 7225, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5898339282347683, std values: 1.127063026417148, min values: -2.6820581866633817, max values: 3.0876051304901218, median values: -0.5177447895980024, and quantile values: 0.25 -1.392601\n0.50 -0.517745\n0.75 0.091309\nName: 7226, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19294321265827666, std values: 0.7657487139984938, min values: -2.8451834694312192, max values: 3.0, median values: -0.2126479390991845, and quantile values: 0.25 -0.699280\n0.50 -0.212648\n0.75 0.247523\nName: 7227, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45398363563057326, std values: 0.827091644210402, min values: -2.1103582417935702, max values: 3.2071942083719924, median values: 0.5468907522788409, and quantile values: 0.25 -0.148624\n0.50 0.546891\n0.75 1.079859\nName: 7228, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7688136318804429, std values: 1.271846480783887, min values: -3.28024538647024, max values: 4.278004674434932, median values: 0.6634671344248141, and quantile values: 0.25 -0.101768\n0.50 0.663467\n0.75 1.649559\nName: 7229, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49365313432696106, std values: 0.8528427102027589, min values: -2.5624611946462936, max values: 5.0, median values: -0.598295695361128, and quantile values: 0.25 -1.071662\n0.50 -0.598296\n0.75 0.036112\nName: 7230, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4521296479101799, std values: 1.006199451338364, min values: -2.7428415536925543, max values: 5.0, median values: 0.5859972102282989, and quantile values: 0.25 -0.161461\n0.50 0.585997\n0.75 1.173527\nName: 7231, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27103446873710635, std values: 0.8692485021514829, min values: -1.909423924406339, max values: 3.760287110694155, median values: 0.1862174687844729, and quantile values: 0.25 -0.336699\n0.50 0.186217\n0.75 0.864632\nName: 7232, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23698227629771687, std values: 0.9448621233295936, min values: -2.580492024304656, max values: 4.0, median values: 0.2557081196392664, and quantile values: 0.25 -0.427225\n0.50 0.255708\n0.75 0.885974\nName: 7233, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4863473468536074, std values: 0.8738539143638557, min values: -2.572123985342288, max values: 4.0, median values: 0.4697397286050037, and quantile values: 0.25 -0.149376\n0.50 0.469740\n0.75 1.094884\nName: 7234, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3555870627055784, std values: 0.8160624318921035, min values: -2.2161166709808824, max values: 6.0, median values: -0.4609480953603733, and quantile values: 0.25 -0.942010\n0.50 -0.460948\n0.75 0.162394\nName: 7235, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17920111739393868, std values: 0.7762566748270469, min values: -1.95930647282486, max values: 3.5021977227593246, median values: 0.145676742058248, and quantile values: 0.25 -0.385854\n0.50 0.145677\n0.75 0.693594\nName: 7236, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44575135589093096, std values: 0.891731984733277, min values: -2.5859127503381347, max values: 3.5021977227593246, median values: 0.5674917410003206, and quantile values: 0.25 -0.004349\n0.50 0.567492\n0.75 1.028006\nName: 7237, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3476068506506029, std values: 0.8877392821551909, min values: -2.815821936576896, max values: 3.9905524164385566, median values: -0.3834196132738585, and quantile values: 0.25 -0.903273\n0.50 -0.383420\n0.75 0.179776\nName: 7238, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14578975625423155, std values: 0.7858845730665968, min values: -2.0185991952196947, max values: 4.0, median values: 0.1745006439388051, and quantile values: 0.25 -0.370413\n0.50 0.174501\n0.75 0.661889\nName: 7239, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08837370785224617, std values: 1.3469049794157963, min values: -2.869519629049614, max values: 6.0, median values: 0.1069131157894165, and quantile values: 0.25 -1.043239\n0.50 0.106913\n0.75 1.103968\nName: 7240, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12533923143683334, std values: 0.8017854226998389, min values: -2.5832619696830608, max values: 6.0, median values: 0.0866578941731884, and quantile values: 0.25 -0.387457\n0.50 0.086658\n0.75 0.619719\nName: 7241, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14633123495301478, std values: 1.1500519443631272, min values: -2.8282523283494294, max values: 4.0, median values: 0.220898927177009, and quantile values: 0.25 -0.698889\n0.50 0.220899\n0.75 1.028175\nName: 7242, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.008771746579159722, std values: 0.7586835544972377, min values: -1.872081408407525, max values: 3.319774799707247, median values: -0.0728586828154012, and quantile values: 0.25 -0.518847\n0.50 -0.072859\n0.75 0.470755\nName: 7243, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6970835609862326, std values: 0.8700677360118293, min values: -2.610097161345549, max values: 4.0, median values: -0.8157273032437581, and quantile values: 0.25 -1.347768\n0.50 -0.815727\n0.75 -0.179245\nName: 7244, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02757435870606972, std values: 0.9668053298881262, min values: -2.8834699678265463, max values: 5.0, median values: 0.0721328865627436, and quantile values: 0.25 -0.627178\n0.50 0.072133\n0.75 0.598369\nName: 7245, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2731075373910912, std values: 0.8625159919027843, min values: -2.801183634509044, max values: 5.0, median values: 0.3383901239785276, and quantile values: 0.25 -0.335417\n0.50 0.338390\n0.75 0.937782\nName: 7246, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20187515506777667, std values: 0.9905767293453612, min values: -2.605844844843939, max values: 4.0, median values: 0.3674655176315643, and quantile values: 0.25 -0.326893\n0.50 0.367466\n0.75 0.883815\nName: 7247, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16188960148393114, std values: 0.763520748051913, min values: -2.032440963438165, max values: 5.0, median values: 0.170806273413179, and quantile values: 0.25 -0.315651\n0.50 0.170806\n0.75 0.611631\nName: 7248, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3072220528728837, std values: 0.7791043086377243, min values: -1.9635987133231152, max values: 3.197902420311553, median values: 0.3763322112437673, and quantile values: 0.25 -0.215187\n0.50 0.376332\n0.75 0.848871\nName: 7249, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.094823835618319, std values: 1.0017324089926212, min values: -2.7542003929097176, max values: 5.0, median values: -0.0575818229064505, and quantile values: 0.25 -0.639689\n0.50 -0.057582\n0.75 0.567927\nName: 7250, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19656134799838065, std values: 1.143591763225567, min values: -2.4705236352348297, max values: 3.5581019918925243, median values: 0.1261332401863772, and quantile values: 0.25 -0.758281\n0.50 0.126133\n0.75 1.228907\nName: 7251, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13670944019568318, std values: 1.1951355616470591, min values: -3.3364384128287203, max values: 2.824647942260179, median values: 0.3702954254878547, and quantile values: 0.25 -0.469401\n0.50 0.370295\n0.75 1.024631\nName: 7252, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09645229072580484, std values: 0.8355414078800459, min values: -1.9009522654433204, max values: 5.0, median values: -0.0255280372401542, and quantile values: 0.25 -0.511385\n0.50 -0.025528\n0.75 0.682672\nName: 7253, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5041017920117361, std values: 1.0645666419197108, min values: -2.070696498607387, max values: 3.336438412828754, median values: 0.4668203244729448, and quantile values: 0.25 -0.309942\n0.50 0.466820\n0.75 1.388172\nName: 7254, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13428275258506062, std values: 0.8899727994279555, min values: -2.5122218748354936, max values: 3.434669824302974, median values: -0.1717775789763545, and quantile values: 0.25 -0.751483\n0.50 -0.171778\n0.75 0.476053\nName: 7255, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.040677761751860136, std values: 0.7693995137945773, min values: -1.9699298801385488, max values: 3.9048392686725855, median values: -0.0152921203761539, and quantile values: 0.25 -0.476331\n0.50 -0.015292\n0.75 0.535937\nName: 7256, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5814183753706769, std values: 0.8872890393780309, min values: -2.1736726278778096, max values: 6.0, median values: 0.6461999727716387, and quantile values: 0.25 -0.006251\n0.50 0.646200\n0.75 1.202530\nName: 7257, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06359369153224079, std values: 0.8869195058392723, min values: -2.5682675825126706, max values: 5.0, median values: -0.0975997921323514, and quantile values: 0.25 -0.668658\n0.50 -0.097600\n0.75 0.451703\nName: 7258, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18567072701871534, std values: 0.7798361011788487, min values: -2.0475875918146023, max values: 3.1841025362512254, median values: -0.173706355389828, and quantile values: 0.25 -0.766839\n0.50 -0.173706\n0.75 0.348381\nName: 7259, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22901748934072436, std values: 0.8921253594822226, min values: -2.0013698907234683, max values: 3.760287110694155, median values: 0.3073891180995855, and quantile values: 0.25 -0.410209\n0.50 0.307389\n0.75 0.879009\nName: 7260, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10094139429670197, std values: 0.8888044470449665, min values: -2.572123985342288, max values: 4.0, median values: 0.0616068324041731, and quantile values: 0.25 -0.492061\n0.50 0.061607\n0.75 0.665335\nName: 7261, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5576458861464698, std values: 0.9868760265112313, min values: -2.64479559868397, max values: 6.0, median values: -0.6474220603067264, and quantile values: 0.25 -1.384667\n0.50 -0.647422\n0.75 0.151075\nName: 7262, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3424096817026838, std values: 0.811791465969819, min values: -2.2276120832807416, max values: 6.0, median values: 0.3505029635177663, and quantile values: 0.25 -0.157931\n0.50 0.350503\n0.75 0.854088\nName: 7263, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18226290923996794, std values: 1.0932287978562596, min values: -2.8998169811239416, max values: 3.5021977227593246, median values: 0.0154575814627929, and quantile values: 0.25 -0.697628\n0.50 0.015458\n0.75 0.956660\nName: 7264, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1655059430163533, std values: 1.0930253948485873, min values: -2.7542003929097176, max values: 5.0, median values: -0.0038830528994747, and quantile values: 0.25 -0.781406\n0.50 -0.003883\n0.75 0.548923\nName: 7265, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22791286460897905, std values: 0.7358626288058376, min values: -2.1301704007793827, max values: 5.0, median values: -0.2339474947727008, and quantile values: 0.25 -0.739339\n0.50 -0.233947\n0.75 0.216260\nName: 7266, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11152892029669864, std values: 0.8744213548519482, min values: -2.045067891820054, max values: 5.0, median values: -0.2150176841042083, and quantile values: 0.25 -0.723076\n0.50 -0.215018\n0.75 0.424969\nName: 7267, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03613561877638968, std values: 0.8430938665373789, min values: -2.5213149333948146, max values: 3.147276669305989, median values: -0.1442539580805496, and quantile values: 0.25 -0.657610\n0.50 -0.144254\n0.75 0.510900\nName: 7268, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5349982295585997, std values: 0.9713848117135435, min values: -2.7257183488872623, max values: 5.0, median values: 0.4835926155879066, and quantile values: 0.25 -0.184592\n0.50 0.483593\n0.75 1.249473\nName: 7269, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23130415617207245, std values: 0.7616701362424017, min values: -2.5689076212724418, max values: 5.0, median values: 0.2716014892371544, and quantile values: 0.25 -0.242499\n0.50 0.271601\n0.75 0.719254\nName: 7270, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0891626562175615, std values: 1.0923343710615883, min values: -2.5774281843044924, max values: 4.243835016543704, median values: -0.1458959665956836, and quantile values: 0.25 -0.992077\n0.50 -0.145896\n0.75 0.659971\nName: 7271, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3961245363639729, std values: 0.7869416062038689, min values: -1.931480986542972, max values: 3.496479817235339, median values: 0.4876348305871135, and quantile values: 0.25 -0.106081\n0.50 0.487635\n0.75 0.958154\nName: 7272, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0838287505703706, std values: 0.8219393102473217, min values: -2.146424125626329, max values: 4.0, median values: 0.0681574546562145, and quantile values: 0.25 -0.471309\n0.50 0.068157\n0.75 0.568955\nName: 7273, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.381758593085505, std values: 0.9128797530436638, min values: -2.4564928597243227, max values: 4.0, median values: -0.4826100984765352, and quantile values: 0.25 -1.106231\n0.50 -0.482610\n0.75 0.271933\nName: 7274, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5582758000722465, std values: 0.8683891292286173, min values: -2.632854336056873, max values: 3.098911021393695, median values: -0.6612706210135196, and quantile values: 0.25 -1.159293\n0.50 -0.661271\n0.75 -0.011704\nName: 7275, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26855414166715075, std values: 1.171942980510051, min values: -3.236860296211546, max values: 3.20751086257212, median values: -0.0142658480340937, and quantile values: 0.25 -1.070758\n0.50 -0.014266\n0.75 0.574828\nName: 7276, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5375816663015182, std values: 1.076772642100147, min values: -2.64479559868397, max values: 6.0, median values: 0.61186253264371, and quantile values: 0.25 -0.179441\n0.50 0.611863\n0.75 1.394406\nName: 7277, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14325152454194612, std values: 0.7881946106913603, min values: -2.094811568530773, max values: 3.022367128892113, median values: -0.2104847062509514, and quantile values: 0.25 -0.678873\n0.50 -0.210485\n0.75 0.342271\nName: 7278, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.270636518295152, std values: 1.0094262502910085, min values: -3.598076523509849, max values: 4.278004674434932, median values: 0.3884071038789968, and quantile values: 0.25 -0.434084\n0.50 0.388407\n0.75 1.063192\nName: 7279, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11213704755154233, std values: 0.7453233213320237, min values: -2.0558865589498763, max values: 5.0, median values: 0.157038839137277, and quantile values: 0.25 -0.401060\n0.50 0.157039\n0.75 0.601964\nName: 7280, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3401571427831739, std values: 0.7856305076466737, min values: -2.584593648802428, max values: 3.163266084685921, median values: 0.3792173378293109, and quantile values: 0.25 -0.164431\n0.50 0.379217\n0.75 0.839857\nName: 7281, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20539512027813273, std values: 0.8361600781309481, min values: -2.0388658839696707, max values: 3.0, median values: 0.1280766275216106, and quantile values: 0.25 -0.383452\n0.50 0.128077\n0.75 0.757780\nName: 7282, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.450983407753141, std values: 1.0106771102154648, min values: -2.928515832252388, max values: 3.397048482165858, median values: -0.5047204172396035, and quantile values: 0.25 -1.350754\n0.50 -0.504720\n0.75 0.266964\nName: 7283, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5516252240736226, std values: 1.0863135574318445, min values: -3.447534482420193, max values: 3.5427287984042666, median values: 0.7053602180584476, and quantile values: 0.25 -0.102294\n0.50 0.705360\n0.75 1.326049\nName: 7284, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6489821530622175, std values: 0.9916252861200507, min values: -2.919359491767569, max values: 5.0, median values: -0.8365695955735458, and quantile values: 0.25 -1.415839\n0.50 -0.836570\n0.75 -0.021400\nName: 7285, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02184386633985191, std values: 0.8508922829197865, min values: -2.572123985342288, max values: 4.0, median values: -0.0708208633150839, and quantile values: 0.25 -0.696477\n0.50 -0.070821\n0.75 0.576899\nName: 7286, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2728063082034409, std values: 0.8039504318296127, min values: -2.156806272086999, max values: 3.5908526919299577, median values: 0.2294804161548228, and quantile values: 0.25 -0.339323\n0.50 0.229480\n0.75 0.826215\nName: 7287, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38112072831109484, std values: 1.0412497550247428, min values: -2.9029979285382743, max values: 3.0, median values: -0.3668763244699504, and quantile values: 0.25 -1.021932\n0.50 -0.366876\n0.75 0.182968\nName: 7288, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.401592935630334, std values: 0.8347000857669634, min values: -2.113431735038636, max values: 4.0, median values: -0.5334088547495366, and quantile values: 0.25 -1.019226\n0.50 -0.533409\n0.75 0.101804\nName: 7289, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10499778181337757, std values: 0.8330726288093657, min values: -2.916688926075616, max values: 6.0, median values: 0.161963556250408, and quantile values: 0.25 -0.374132\n0.50 0.161964\n0.75 0.619232\nName: 7290, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7918038623268034, std values: 0.9352185343656265, min values: -2.580492024304656, max values: 3.630507857092792, median values: 0.904831433024882, and quantile values: 0.25 0.151075\n0.50 0.904831\n0.75 1.465896\nName: 7291, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0750273038208797, std values: 1.0235568640995576, min values: -1.9652261322507751, max values: 5.0, median values: -0.1134046145403543, and quantile values: 0.25 -0.936915\n0.50 -0.113405\n0.75 0.705542\nName: 7292, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9752861156497732, std values: 1.417566785836843, min values: -3.101800431129944, max values: 6.0, median values: -1.653128563651069, and quantile values: 0.25 -2.165598\n0.50 -1.653129\n0.75 0.339615\nName: 7293, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6254184436743442, std values: 1.115008638881064, min values: -2.919359491767569, max values: 5.0, median values: -0.6159430990961802, and quantile values: 0.25 -1.590839\n0.50 -0.615943\n0.75 0.283869\nName: 7294, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4631070453108586, std values: 0.7914721051296032, min values: -2.299460330888208, max values: 4.0, median values: 0.4082907733691826, and quantile values: 0.25 -0.029967\n0.50 0.408291\n0.75 0.960364\nName: 7295, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0509844469825144, std values: 0.7982165571961954, min values: -1.962697027733364, max values: 4.0, median values: -0.0353409394978548, and quantile values: 0.25 -0.548314\n0.50 -0.035341\n0.75 0.570595\nName: 7296, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16850980973658142, std values: 0.8496992461090076, min values: -2.687115288423959, max values: 5.0, median values: 0.2472796944039265, and quantile values: 0.25 -0.363932\n0.50 0.247280\n0.75 0.734703\nName: 7297, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36595325985982374, std values: 0.7830378996377125, min values: -2.5953860446419177, max values: 5.0, median values: -0.4479762188232277, and quantile values: 0.25 -0.889141\n0.50 -0.447976\n0.75 0.074091\nName: 7298, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10521383619414751, std values: 0.7936011698708731, min values: -2.169311742921253, max values: 6.0, median values: 0.1493482555146632, and quantile values: 0.25 -0.390279\n0.50 0.149348\n0.75 0.581882\nName: 7299, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30515910938633933, std values: 0.8833714169761627, min values: -2.841647375415054, max values: 3.0932086550988465, median values: -0.3075474402034059, and quantile values: 0.25 -0.905045\n0.50 -0.307547\n0.75 0.252766\nName: 7300, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02586323902502371, std values: 0.7727506187944818, min values: -2.0185991952196947, max values: 3.5021977227593246, median values: -0.0102448036640691, and quantile values: 0.25 -0.472632\n0.50 -0.010245\n0.75 0.514630\nName: 7301, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04242277234730528, std values: 0.997684092294554, min values: -2.842989614395848, max values: 5.0, median values: 0.1758926451609079, and quantile values: 0.25 -0.536518\n0.50 0.175893\n0.75 0.721701\nName: 7302, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08900357607380054, std values: 0.8845539785613244, min values: -2.45229857681487, max values: 3.477886732511886, median values: -0.2041537461342549, and quantile values: 0.25 -0.757340\n0.50 -0.204154\n0.75 0.511708\nName: 7303, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3005958290385293, std values: 0.8896521969043518, min values: -2.497627580948261, max values: 3.176672644814091, median values: -0.2856185525814589, and quantile values: 0.25 -0.863499\n0.50 -0.285619\n0.75 0.264105\nName: 7304, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.029606424662556346, std values: 0.9022854411497301, min values: -2.4823451998031074, max values: 3.176672644814091, median values: -0.0214272250795951, and quantile values: 0.25 -0.570568\n0.50 -0.021427\n0.75 0.542562\nName: 7305, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22016346723895303, std values: 0.8331670699199103, min values: -2.1142893459860668, max values: 5.0, median values: -0.2466699037084025, and quantile values: 0.25 -0.765362\n0.50 -0.246670\n0.75 0.282039\nName: 7306, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15319562329815578, std values: 0.8617208235652819, min values: -2.102258330765142, max values: 5.0, median values: 0.0693756119649585, and quantile values: 0.25 -0.460595\n0.50 0.069376\n0.75 0.732587\nName: 7307, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.052941420402838155, std values: 0.7668166599108677, min values: -2.008976164219656, max values: 3.224152805256112, median values: -0.0726217116754469, and quantile values: 0.25 -0.566295\n0.50 -0.072622\n0.75 0.402518\nName: 7308, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6999174992607639, std values: 0.9756417926741563, min values: -2.1798712735263623, max values: 3.336438412828754, median values: 0.7648449528392861, and quantile values: 0.25 0.007729\n0.50 0.764845\n0.75 1.494883\nName: 7309, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28033633822583287, std values: 0.8395022863778265, min values: -2.0397470924909658, max values: 5.0, median values: 0.2056906442761419, and quantile values: 0.25 -0.304368\n0.50 0.205691\n0.75 0.847652\nName: 7310, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1304760161301662, std values: 0.8862368181128973, min values: -2.8327898928872086, max values: 4.0, median values: 0.2244119412219302, and quantile values: 0.25 -0.357466\n0.50 0.224412\n0.75 0.702151\nName: 7311, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07649657101096988, std values: 1.0356218339889172, min values: -2.8531572940820533, max values: 6.0, median values: 0.0713421376472223, and quantile values: 0.25 -0.575631\n0.50 0.071342\n0.75 0.567455\nName: 7312, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1621097098031462, std values: 0.731327559588511, min values: -2.8531572940820533, max values: 3.0, median values: 0.2379067541711549, and quantile values: 0.25 -0.292079\n0.50 0.237907\n0.75 0.669853\nName: 7313, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3914917513451045, std values: 0.8960471408020451, min values: -2.623568901859613, max values: 4.0, median values: -0.395530658297776, and quantile values: 0.25 -1.012418\n0.50 -0.395531\n0.75 0.181400\nName: 7314, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.006058644374975524, std values: 1.1043771580844188, min values: -2.417373761219911, max values: 3.2071942083719924, median values: -0.0950116560070308, and quantile values: 0.25 -0.914511\n0.50 -0.095012\n0.75 0.959755\nName: 7315, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31193479944771935, std values: 0.8436876459265832, min values: -1.9741053957733825, max values: 3.3014869995452325, median values: -0.4053639858152835, and quantile values: 0.25 -0.955573\n0.50 -0.405364\n0.75 0.228992\nName: 7316, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5517045087176049, std values: 0.8318844316357267, min values: -2.146975780172544, max values: 3.0651860794139534, median values: 0.6106659806643022, and quantile values: 0.25 0.006830\n0.50 0.610666\n0.75 1.074539\nName: 7317, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1791084010453593, std values: 1.1853347396211762, min values: -2.673124659932621, max values: 6.0, median values: -0.338564954669682, and quantile values: 0.25 -1.054605\n0.50 -0.338565\n0.75 0.651605\nName: 7318, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10509753337306722, std values: 0.7193298551074968, min values: -2.3184884946917497, max values: 6.0, median values: 0.0769656817315641, and quantile values: 0.25 -0.360022\n0.50 0.076966\n0.75 0.548186\nName: 7319, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.9238708804764331, std values: 1.048319025780867, min values: -2.5631960397140583, max values: 4.0, median values: 1.0031088786657745, and quantile values: 0.25 0.154186\n0.50 1.003109\n0.75 1.746849\nName: 7320, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13699877016548295, std values: 0.8712579032171653, min values: -2.623568901859613, max values: 4.0, median values: 0.2008168287501894, and quantile values: 0.25 -0.354829\n0.50 0.200817\n0.75 0.672313\nName: 7321, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.311950578262475, std values: 1.0161353139136455, min values: -2.8563982925340614, max values: 5.0, median values: -0.3283170682073799, and quantile values: 0.25 -0.928431\n0.50 -0.328317\n0.75 0.372200\nName: 7322, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30170724150999495, std values: 0.8525889467843772, min values: -2.1124050188802093, max values: 6.0, median values: 0.3605504867844867, and quantile values: 0.25 -0.320648\n0.50 0.360550\n0.75 0.958359\nName: 7323, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41768191999218646, std values: 0.8619021695771117, min values: -2.8350118695332047, max values: 5.0, median values: -0.4584222796358382, and quantile values: 0.25 -0.991356\n0.50 -0.458422\n0.75 0.076054\nName: 7324, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.061436660661048845, std values: 0.8239998695698776, min values: -2.349293916724472, max values: 3.3760121766849016, median values: -0.1819206170353786, and quantile values: 0.25 -0.635114\n0.50 -0.181921\n0.75 0.470939\nName: 7325, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36919210705466116, std values: 0.9295416949787644, min values: -2.733804248449497, max values: 3.379902545505621, median values: -0.492832016129146, and quantile values: 0.25 -0.979452\n0.50 -0.492832\n0.75 0.182240\nName: 7326, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33690284205795884, std values: 0.7853494016577429, min values: -2.1775880058603043, max values: 3.2936960268109283, median values: -0.4416097663552294, and quantile values: 0.25 -0.874654\n0.50 -0.441610\n0.75 0.121758\nName: 7327, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4097573135313876, std values: 0.8961183036888584, min values: -2.087432639025188, max values: 4.0, median values: 0.5090731591348393, and quantile values: 0.25 -0.220826\n0.50 0.509073\n0.75 1.052323\nName: 7328, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2544786382606139, std values: 0.8388715040488127, min values: -2.360421874068022, max values: 4.0, median values: -0.3390655699345556, and quantile values: 0.25 -0.845591\n0.50 -0.339066\n0.75 0.274521\nName: 7329, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3646286171947881, std values: 0.9303491550729996, min values: -2.8282523283494294, max values: 3.528773265847577, median values: -0.4441826029236815, and quantile values: 0.25 -0.912546\n0.50 -0.444183\n0.75 0.123719\nName: 7330, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04431101179830662, std values: 0.8801808730212345, min values: -2.5399045531878324, max values: 4.0, median values: 0.0269367053003273, and quantile values: 0.25 -0.485172\n0.50 0.026937\n0.75 0.609308\nName: 7331, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5642295721579675, std values: 0.8865820172772304, min values: -2.7314147016889114, max values: 3.0, median values: 0.6452501271177974, and quantile values: 0.25 0.010272\n0.50 0.645250\n0.75 1.164538\nName: 7332, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.309808907677638, std values: 0.9856615431948158, min values: -2.657750824678472, max values: 5.0, median values: -0.376459058346777, and quantile values: 0.25 -0.976298\n0.50 -0.376459\n0.75 0.352539\nName: 7333, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38718317375047445, std values: 0.8430575159455099, min values: -2.622408470084112, max values: 3.0, median values: -0.4923517200057979, and quantile values: 0.25 -1.014397\n0.50 -0.492352\n0.75 0.121425\nName: 7334, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44910016120310076, std values: 1.0992718730544346, min values: -2.928515832252388, max values: 3.5021977227593246, median values: 0.6046725116097128, and quantile values: 0.25 -0.074020\n0.50 0.604673\n0.75 1.154871\nName: 7335, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43801925615237425, std values: 0.8996901790272549, min values: -2.607565022042742, max values: 4.0, median values: -0.539276322515466, and quantile values: 0.25 -1.149994\n0.50 -0.539276\n0.75 0.177837\nName: 7336, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06482690566785035, std values: 1.1221658171903572, min values: -2.684072796644972, max values: 6.0, median values: 0.1891885173009573, and quantile values: 0.25 -0.629601\n0.50 0.189189\n0.75 0.931381\nName: 7337, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0037699300346603465, std values: 0.9545926833348931, min values: -3.1386665508340674, max values: 3.598076523509904, median values: 0.0663357454168073, and quantile values: 0.25 -0.575826\n0.50 0.066336\n0.75 0.600134\nName: 7338, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.576008118438359, std values: 0.799595125981281, min values: -2.732564679617164, max values: 3.0876051304901218, median values: 0.6095556790426263, and quantile values: 0.25 0.072243\n0.50 0.609556\n0.75 1.108849\nName: 7339, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2801112509646899, std values: 0.9513797483179985, min values: -2.815821936576896, max values: 4.243835016543704, median values: -0.2905581909401895, and quantile values: 0.25 -0.866694\n0.50 -0.290558\n0.75 0.297271\nName: 7340, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5001941949491308, std values: 0.8953632512025056, min values: -2.63315074164461, max values: 6.0, median values: -0.5771994765548569, and quantile values: 0.25 -1.120817\n0.50 -0.577199\n0.75 0.058789\nName: 7341, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34850766905669994, std values: 0.8653521436901762, min values: -2.098259549910112, max values: 4.0, median values: 0.4254756040159924, and quantile values: 0.25 -0.281178\n0.50 0.425476\n0.75 0.965813\nName: 7342, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08473682179456207, std values: 1.1537391218144515, min values: -2.7510671817729784, max values: 6.0, median values: 0.2909582133767501, and quantile values: 0.25 -0.581915\n0.50 0.290958\n0.75 0.884169\nName: 7343, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09261378188990918, std values: 0.8384093572358418, min values: -2.788272971802125, max values: 3.397048482165858, median values: 0.1849490910526839, and quantile values: 0.25 -0.354728\n0.50 0.184949\n0.75 0.633863\nName: 7344, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34568095891014167, std values: 0.7730135455199192, min values: -2.662750916816848, max values: 5.0, median values: 0.3676953890982102, and quantile values: 0.25 -0.116831\n0.50 0.367695\n0.75 0.833759\nName: 7345, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5230569006315371, std values: 0.8831561086856369, min values: -2.730840794324401, max values: 3.496479817235339, median values: -0.6361205249410748, and quantile values: 0.25 -1.150643\n0.50 -0.636121\n0.75 -0.074044\nName: 7346, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18422781553222892, std values: 0.8738501273613487, min values: -2.90140378513671, max values: 3.3014869995452325, median values: -0.2987529999233926, and quantile values: 0.25 -0.797300\n0.50 -0.298753\n0.75 0.366700\nName: 7347, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13140948737560829, std values: 0.8758034345235696, min values: -2.5213149333948146, max values: 4.243835016543704, median values: 0.0542678123966677, and quantile values: 0.25 -0.517319\n0.50 0.054268\n0.75 0.735260\nName: 7348, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3078166479872619, std values: 0.9046038241721758, min values: -2.5156802245814003, max values: 4.0, median values: -0.4309690413255406, and quantile values: 0.25 -0.940537\n0.50 -0.430969\n0.75 0.266382\nName: 7349, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13496309864521616, std values: 0.9817620308752281, min values: -2.64479559868397, max values: 6.0, median values: -0.0077521951107434, and quantile values: 0.25 -0.726985\n0.50 -0.007752\n0.75 0.543792\nName: 7350, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19319497680092232, std values: 0.9499831509087077, min values: -2.87684958111886, max values: 3.5021977227593246, median values: 0.2562772519637825, and quantile values: 0.25 -0.475097\n0.50 0.256277\n0.75 0.926078\nName: 7351, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12686981580473755, std values: 0.7923094896342482, min values: -2.064161388650449, max values: 5.0, median values: 0.1962368984101621, and quantile values: 0.25 -0.413254\n0.50 0.196237\n0.75 0.666780\nName: 7352, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11676033466009715, std values: 0.927561492490151, min values: -2.4657737907743, max values: 3.2906806286429298, median values: 0.0351753951010828, and quantile values: 0.25 -0.560971\n0.50 0.035175\n0.75 0.764845\nName: 7353, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19915096255084358, std values: 0.9252794832129473, min values: -2.486556664247513, max values: 3.867701659180865, median values: -0.1988397161615658, and quantile values: 0.25 -0.809903\n0.50 -0.198840\n0.75 0.337814\nName: 7354, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5713420078978764, std values: 1.0340874172355254, min values: -2.92272757463548, max values: 6.0, median values: -0.6138234266097498, and quantile values: 0.25 -1.255595\n0.50 -0.613823\n0.75 0.132298\nName: 7355, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.008779523628064011, std values: 0.9838757859606394, min values: -2.5293911731823453, max values: 3.627976272701048, median values: -0.0714132220095418, and quantile values: 0.25 -0.611521\n0.50 -0.071413\n0.75 0.619586\nName: 7356, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2653417353545322, std values: 1.6697951408701834, min values: -3.530441124712342, max values: 4.026668017837955, median values: 0.3411189827557946, and quantile values: 0.25 -1.615222\n0.50 0.341119\n0.75 1.603658\nName: 7357, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6855557192445179, std values: 0.9368130840432132, min values: -2.0288440059072874, max values: 3.1227871431249503, median values: 0.7937608783192532, and quantile values: 0.25 0.033378\n0.50 0.793761\n0.75 1.383681\nName: 7358, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03548210664264624, std values: 0.9193899824573234, min values: -2.841647375415054, max values: 4.243835016543704, median values: 0.1193905578288, and quantile values: 0.25 -0.527848\n0.50 0.119391\n0.75 0.636040\nName: 7359, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1639441745626308, std values: 0.9733092813663106, min values: -2.63315074164461, max values: 6.0, median values: -0.2260603754671513, and quantile values: 0.25 -0.796164\n0.50 -0.226060\n0.75 0.454964\nName: 7360, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5166465095231364, std values: 0.8448729077601069, min values: -2.5859127503381347, max values: 3.036311757241655, median values: -0.5847820143867872, and quantile values: 0.25 -1.082657\n0.50 -0.584782\n0.75 -0.062483\nName: 7361, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.014232240201761514, std values: 0.8636275216368945, min values: -2.589966702820638, max values: 6.0, median values: -0.0519483617774383, and quantile values: 0.25 -0.699130\n0.50 -0.051948\n0.75 0.582428\nName: 7362, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.325961045737706, std values: 1.027510957273854, min values: -1.9570585542689607, max values: 3.569037956734876, median values: 0.2909869435260702, and quantile values: 0.25 -0.467397\n0.50 0.290987\n0.75 1.176603\nName: 7363, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06077462272054426, std values: 1.3419186315576013, min values: -2.510124273981921, max values: 3.627976272701048, median values: 0.0279869063946348, and quantile values: 0.25 -0.898090\n0.50 0.027987\n0.75 1.092683\nName: 7364, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3605628726347129, std values: 0.8235584009630037, min values: -2.0618486359083783, max values: 5.0, median values: -0.4265215002713066, and quantile values: 0.25 -0.963103\n0.50 -0.426522\n0.75 0.126633\nName: 7365, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0977228615715571, std values: 0.8204490295009753, min values: -2.065089589366759, max values: 3.0, median values: -0.1382180161886916, and quantile values: 0.25 -0.644860\n0.50 -0.138218\n0.75 0.427972\nName: 7366, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18817537553924085, std values: 0.9999563821391984, min values: -2.64479559868397, max values: 6.0, median values: -0.0472393035352199, and quantile values: 0.25 -0.741114\n0.50 -0.047239\n0.75 0.439917\nName: 7367, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.010461802807570773, std values: 0.7912589296667925, min values: -2.1730882470106176, max values: 5.0, median values: -0.0568952985705029, and quantile values: 0.25 -0.565152\n0.50 -0.056895\n0.75 0.516234\nName: 7368, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1738075530287415, std values: 0.9823733385665436, min values: -3.0687217584296813, max values: 2.865194562892494, median values: -0.3438192775296469, and quantile values: 0.25 -0.913048\n0.50 -0.343819\n0.75 0.495743\nName: 7369, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14458410461496973, std values: 0.995613793125985, min values: -2.5953860446419177, max values: 3.379902545505621, median values: 0.2637136151561912, and quantile values: 0.25 -0.498443\n0.50 0.263714\n0.75 0.875190\nName: 7370, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1595733204065246, std values: 0.854540876211247, min values: -2.6635706018350787, max values: 3.0, median values: -0.2742199170909605, and quantile values: 0.25 -0.777163\n0.50 -0.274220\n0.75 0.392509\nName: 7371, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43326337975985607, std values: 0.9822818891259264, min values: -2.623568901859613, max values: 4.0, median values: -0.5076316193935004, and quantile values: 0.25 -1.099462\n0.50 -0.507632\n0.75 0.222777\nName: 7372, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25530613799010826, std values: 0.882554630363809, min values: -2.679056533720636, max values: 5.0, median values: 0.2995305485203772, and quantile values: 0.25 -0.271504\n0.50 0.299531\n0.75 0.836531\nName: 7373, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25532892248830413, std values: 0.8133932381736868, min values: -2.082109659827605, max values: 6.0, median values: 0.224096868940174, and quantile values: 0.25 -0.247948\n0.50 0.224097\n0.75 0.790783\nName: 7374, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2837934767880214, std values: 0.8458173890856034, min values: -2.3051489257282016, max values: 5.0, median values: 0.3239895497882841, and quantile values: 0.25 -0.296307\n0.50 0.323990\n0.75 0.898686\nName: 7375, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1508662201171101, std values: 0.8798349879695647, min values: -2.5825978442440407, max values: 6.0, median values: 0.1710940620558122, and quantile values: 0.25 -0.491750\n0.50 0.171094\n0.75 0.756738\nName: 7376, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16960807766986014, std values: 0.9846310987888317, min values: -2.5689076212724418, max values: 5.0, median values: 0.0267574515953173, and quantile values: 0.25 -0.537473\n0.50 0.026757\n0.75 0.813348\nName: 7377, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19568139449884464, std values: 1.0305168100692736, min values: -2.879968592907284, max values: 4.0, median values: 0.1842563580294676, and quantile values: 0.25 -0.364940\n0.50 0.184256\n0.75 0.846704\nName: 7378, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37535191654621886, std values: 1.1882480548787413, min values: -2.6466193392086392, max values: 4.0, median values: 0.669143728288623, and quantile values: 0.25 -0.214461\n0.50 0.669144\n0.75 1.206878\nName: 7379, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13708295412556168, std values: 0.9908415838561818, min values: -2.688157591415518, max values: 3.0097288687560817, median values: 0.2772808128280273, and quantile values: 0.25 -0.329593\n0.50 0.277281\n0.75 0.759322\nName: 7380, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04195816667496822, std values: 0.9692262456215345, min values: -2.8297583842718432, max values: 5.0, median values: 0.0254098263842631, and quantile values: 0.25 -0.514188\n0.50 0.025410\n0.75 0.614001\nName: 7381, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10236342351135685, std values: 0.8539558501752488, min values: -2.072580019544124, max values: 5.0, median values: 0.0446009304460911, and quantile values: 0.25 -0.578428\n0.50 0.044601\n0.75 0.723327\nName: 7382, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10127719805605147, std values: 0.9228396399748549, min values: -2.643887016977268, max values: 6.0, median values: 0.186127287674358, and quantile values: 0.25 -0.474604\n0.50 0.186127\n0.75 0.739416\nName: 7383, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27121413540450656, std values: 1.8667965987339583, min values: -2.944950884974346, max values: 3.867701659180865, median values: -0.2060662287086513, and quantile values: 0.25 -2.142854\n0.50 -0.206066\n0.75 1.207653\nName: 7384, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15475432399954345, std values: 0.9477929702267911, min values: -2.053612783201618, max values: 4.0, median values: -0.2223253158481593, and quantile values: 0.25 -0.938075\n0.50 -0.222325\n0.75 0.508133\nName: 7385, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13659269126364657, std values: 0.8459529755776919, min values: -2.788272971802125, max values: 3.0315977762793005, median values: 0.0458433566000655, and quantile values: 0.25 -0.493709\n0.50 0.045843\n0.75 0.722933\nName: 7386, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2243743243310965, std values: 0.7491015033830501, min values: -1.9488996912269427, max values: 5.0, median values: 0.2100377652765447, and quantile values: 0.25 -0.251815\n0.50 0.210038\n0.75 0.673764\nName: 7387, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19946412554987594, std values: 0.8640852689432469, min values: -2.679056533720636, max values: 5.0, median values: -0.1485128626461546, and quantile values: 0.25 -0.769545\n0.50 -0.148513\n0.75 0.363991\nName: 7388, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2610781031928314, std values: 0.8239764835908839, min values: -2.021565395333485, max values: 4.278004674434932, median values: 0.2359883610129535, and quantile values: 0.25 -0.230576\n0.50 0.235988\n0.75 0.739914\nName: 7389, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44534662567779015, std values: 0.9061590322002635, min values: -1.949636060316365, max values: 3.306454397423372, median values: 0.4739568855231504, and quantile values: 0.25 -0.240372\n0.50 0.473957\n0.75 1.139437\nName: 7390, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4266303531844667, std values: 0.8817137991721867, min values: -2.240740315114864, max values: 4.0, median values: 0.4470880065642967, and quantile values: 0.25 -0.164478\n0.50 0.447088\n0.75 0.988056\nName: 7391, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15256067034226264, std values: 0.77757969152025, min values: -2.196708653609315, max values: 6.0, median values: 0.1090526591636931, and quantile values: 0.25 -0.340868\n0.50 0.109053\n0.75 0.642069\nName: 7392, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2628797916732944, std values: 0.7790228156219764, min values: -2.4564928597243227, max values: 4.0, median values: -0.2833176141470594, and quantile values: 0.25 -0.777190\n0.50 -0.283318\n0.75 0.174713\nName: 7393, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26296380109407846, std values: 0.7426694116910356, min values: -2.4737574649270093, max values: 3.281452258958016, median values: 0.2871392327403091, and quantile values: 0.25 -0.193676\n0.50 0.287139\n0.75 0.716956\nName: 7394, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03726671171643336, std values: 0.9507185906717334, min values: -2.73836943861057, max values: 3.379902545505621, median values: 0.0811095045433803, and quantile values: 0.25 -0.664922\n0.50 0.081110\n0.75 0.613003\nName: 7395, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16989990489944268, std values: 0.7710568011572411, min values: -2.8531572940820533, max values: 3.667275230673496, median values: -0.1504901278019037, and quantile values: 0.25 -0.709428\n0.50 -0.150490\n0.75 0.368125\nName: 7396, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09983605885797092, std values: 0.8212797857484337, min values: -2.5544460869462697, max values: 4.0, median values: 0.0533965518281175, and quantile values: 0.25 -0.434023\n0.50 0.053397\n0.75 0.614087\nName: 7397, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1991413733344119, std values: 1.4680213426190265, min values: -2.944950884974346, max values: 4.243835016543704, median values: 0.1169019999051078, and quantile values: 0.25 -1.772242\n0.50 0.116902\n0.75 0.907397\nName: 7398, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.164562462342969, std values: 0.9220759738883559, min values: -2.789830374413015, max values: 3.709787027503053, median values: 0.1256613468550741, and quantile values: 0.25 -0.364966\n0.50 0.125661\n0.75 0.728524\nName: 7399, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3232555472879444, std values: 0.9068491884407216, min values: -2.296148543065398, max values: 5.0, median values: -0.3911640886419463, and quantile values: 0.25 -1.074413\n0.50 -0.391164\n0.75 0.318335\nName: 7400, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1632054266134435, std values: 0.7653491515284633, min values: -2.1124050188802093, max values: 3.9048392686725855, median values: 0.1245511197871589, and quantile values: 0.25 -0.348937\n0.50 0.124551\n0.75 0.623130\nName: 7401, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16410039074757807, std values: 0.7939281241744804, min values: -2.031872582714462, max values: 6.0, median values: -0.1981888861138283, and quantile values: 0.25 -0.694575\n0.50 -0.198189\n0.75 0.317756\nName: 7402, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.009110889481226271, std values: 0.8261022467543934, min values: -2.005672204034532, max values: 5.0, median values: -0.00691242262517, and quantile values: 0.25 -0.593929\n0.50 -0.006912\n0.75 0.507663\nName: 7403, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.021921024220340948, std values: 0.8636528583959696, min values: -2.8282523283494294, max values: 4.0, median values: -0.1336596410500219, and quantile values: 0.25 -0.625370\n0.50 -0.133660\n0.75 0.549967\nName: 7404, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06328807811977882, std values: 0.8813466272224032, min values: -2.209554510218241, max values: 3.9905524164385566, median values: 0.0759161258740276, and quantile values: 0.25 -0.496411\n0.50 0.075916\n0.75 0.547659\nName: 7405, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6068290870995984, std values: 1.3867547869441275, min values: -2.558791007225312, max values: 4.278004674434932, median values: 0.6708890709792114, and quantile values: 0.25 -0.501095\n0.50 0.670889\n0.75 1.743004\nName: 7406, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07199915071361206, std values: 0.9664024771567828, min values: -2.4705236352348297, max values: 3.3337116327022187, median values: -0.0860411018539565, and quantile values: 0.25 -0.866848\n0.50 -0.086041\n0.75 0.621322\nName: 7407, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1900635798938063, std values: 0.954828932191291, min values: -2.643887016977268, max values: 6.0, median values: 0.2702284844032277, and quantile values: 0.25 -0.397320\n0.50 0.270228\n0.75 0.866488\nName: 7408, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29201133301846977, std values: 1.1101896240407247, min values: -2.981718296512785, max values: 5.0, median values: -0.2111734973458153, and quantile values: 0.25 -1.067159\n0.50 -0.211173\n0.75 0.461737\nName: 7409, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.019256780310626113, std values: 0.8765694214885579, min values: -2.0545210191658487, max values: 3.528773265847577, median values: -0.0762952309279545, and quantile values: 0.25 -0.677594\n0.50 -0.076295\n0.75 0.596318\nName: 7410, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2532485356591318, std values: 1.1177840801730397, min values: -2.605844844843939, max values: 4.0, median values: 0.3926870341754332, and quantile values: 0.25 -0.494060\n0.50 0.392687\n0.75 1.048334\nName: 7411, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1189117459273756, std values: 0.9686170952820579, min values: -2.6820581866633817, max values: 3.0315977762793005, median values: 0.2201724383569103, and quantile values: 0.25 -0.478460\n0.50 0.220172\n0.75 0.740038\nName: 7412, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09607653795723194, std values: 0.7487033037251708, min values: -2.475778245535816, max values: 4.278004674434932, median values: 0.0100448333137948, and quantile values: 0.25 -0.367466\n0.50 0.010045\n0.75 0.562323\nName: 7413, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.552298278277341, std values: 0.9572726061507056, min values: -2.5825978442440407, max values: 6.0, median values: -0.7165462145400072, and quantile values: 0.25 -1.302812\n0.50 -0.716546\n0.75 0.055217\nName: 7414, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3469407119717196, std values: 0.916796978292586, min values: -2.274066535534132, max values: 2.9078251235230463, median values: 0.3427978392768673, and quantile values: 0.25 -0.321693\n0.50 0.342798\n0.75 1.025804\nName: 7415, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25100201799388866, std values: 0.8128025475066644, min values: -2.028412867843044, max values: 3.1395741599540568, median values: -0.3655216630008416, and quantile values: 0.25 -0.843585\n0.50 -0.365522\n0.75 0.269276\nName: 7416, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05875670989707097, std values: 1.2486049091430962, min values: -2.8563982925340614, max values: 5.0, median values: 0.0161667052550178, and quantile values: 0.25 -0.810094\n0.50 0.016167\n0.75 0.764882\nName: 7417, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09165975044457991, std values: 1.0071102643024672, min values: -2.788272971802125, max values: 3.025409039429847, median values: 0.0558236283624245, and quantile values: 0.25 -0.520402\n0.50 0.055824\n0.75 0.790627\nName: 7418, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.049728502025781336, std values: 0.8644341713172858, min values: -2.8531572940820533, max values: 3.224152805256112, median values: -0.0262845952356076, and quantile values: 0.25 -0.515007\n0.50 -0.026285\n0.75 0.614972\nName: 7419, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0540830605584138, std values: 0.8276776470729887, min values: -2.4705236352348297, max values: 3.00464355837442, median values: -0.0207936797142502, and quantile values: 0.25 -0.561259\n0.50 -0.020794\n0.75 0.620153\nName: 7420, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1685810328395896, std values: 1.0234303281702255, min values: -2.783691185534105, max values: 3.709787027503053, median values: -0.2124278804236613, and quantile values: 0.25 -0.970460\n0.50 -0.212428\n0.75 0.493273\nName: 7421, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3693595960955254, std values: 0.9083577684496459, min values: -2.4902145713898545, max values: 4.243835016543704, median values: -0.5258763150689362, and quantile values: 0.25 -1.081639\n0.50 -0.525876\n0.75 0.196984\nName: 7422, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17589296524916428, std values: 0.8513277404508913, min values: -2.0446222759012818, max values: 5.0, median values: -0.2314524720832823, and quantile values: 0.25 -0.845622\n0.50 -0.231452\n0.75 0.395863\nName: 7423, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28846980326724064, std values: 0.7866879503289698, min values: -2.300042081328127, max values: 4.0, median values: -0.3635203471251304, and quantile values: 0.25 -0.858261\n0.50 -0.363520\n0.75 0.184588\nName: 7424, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14576370136240127, std values: 0.9250039563628846, min values: -2.558791007225312, max values: 3.0, median values: -0.1302149127117095, and quantile values: 0.25 -0.803611\n0.50 -0.130215\n0.75 0.487621\nName: 7425, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24352694046113438, std values: 1.1581981041125688, min values: -2.7510671817729784, max values: 6.0, median values: 0.3161920590201034, and quantile values: 0.25 -0.547275\n0.50 0.316192\n0.75 1.140294\nName: 7426, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22114933598137576, std values: 0.9715656203008795, min values: -2.8547740449753216, max values: 5.0, median values: -0.1254493352427425, and quantile values: 0.25 -0.810859\n0.50 -0.125449\n0.75 0.413177\nName: 7427, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24391241467860286, std values: 0.8019365665425807, min values: -2.119639300682046, max values: 4.243835016543704, median values: -0.2797766445307879, and quantile values: 0.25 -0.778314\n0.50 -0.279777\n0.75 0.210666\nName: 7428, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09956329638543551, std values: 0.9492605399612183, min values: -2.642042398333877, max values: 3.0, median values: -0.0030961250315799, and quantile values: 0.25 -0.587731\n0.50 -0.003096\n0.75 0.509982\nName: 7429, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14110258958190208, std values: 0.9764922191449217, min values: -2.6072570508709387, max values: 4.0, median values: -0.1457289647845384, and quantile values: 0.25 -0.777674\n0.50 -0.145729\n0.75 0.499847\nName: 7430, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15622948969830183, std values: 0.8526184727450783, min values: -2.0797094986253195, max values: 5.0, median values: 0.1763727244817947, and quantile values: 0.25 -0.469903\n0.50 0.176373\n0.75 0.767164\nName: 7431, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.331192093396616, std values: 0.8159037464736209, min values: -2.008424150398618, max values: 3.5021977227593246, median values: 0.3365826282654303, and quantile values: 0.25 -0.207389\n0.50 0.336583\n0.75 0.866167\nName: 7432, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4969050640858999, std values: 1.033016541224205, min values: -2.5122218748354936, max values: 3.2266531185902125, median values: 0.6054625904862244, and quantile values: 0.25 -0.131860\n0.50 0.605463\n0.75 1.257469\nName: 7433, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.651547602294477, std values: 0.7525746842920388, min values: -2.5501488616953263, max values: 3.0, median values: -0.7699266306106228, and quantile values: 0.25 -1.209329\n0.50 -0.769927\n0.75 -0.184032\nName: 7434, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2758459000428287, std values: 0.8838497684216414, min values: -2.20201499019871, max values: 5.0, median values: -0.3504275691225514, and quantile values: 0.25 -0.965313\n0.50 -0.350428\n0.75 0.321118\nName: 7435, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3338976963742831, std values: 0.8011846996447755, min values: -2.160984325879425, max values: 4.0, median values: 0.2943500364338253, and quantile values: 0.25 -0.202130\n0.50 0.294350\n0.75 0.850998\nName: 7436, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09755939988664677, std values: 0.8449547765027909, min values: -2.1635514443243498, max values: 3.1485882570365185, median values: 0.0147616078869664, and quantile values: 0.25 -0.522893\n0.50 0.014762\n0.75 0.666903\nName: 7437, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32401484071260206, std values: 1.0226672523837168, min values: -2.581273000600158, max values: 3.135426854633533, median values: 0.4818598419851495, and quantile values: 0.25 -0.390249\n0.50 0.481860\n0.75 1.093336\nName: 7438, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2082501140753955, std values: 0.9805496753115913, min values: -2.125402219364062, max values: 5.0, median values: 0.2396352283560822, and quantile values: 0.25 -0.527468\n0.50 0.239635\n0.75 0.845828\nName: 7439, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1981592802397336, std values: 0.9748060317787538, min values: -2.673124659932621, max values: 6.0, median values: 0.1960900786405521, and quantile values: 0.25 -0.349727\n0.50 0.196090\n0.75 0.759175\nName: 7440, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6079486455116618, std values: 1.141513456633594, min values: -2.815821936576896, max values: 3.260388056018088, median values: -0.6349746365866814, and quantile values: 0.25 -1.262277\n0.50 -0.634975\n0.75 0.073900\nName: 7441, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2529034952678201, std values: 0.8590826257517736, min values: -2.133376301904917, max values: 3.306454397423372, median values: 0.3027580312032615, and quantile values: 0.25 -0.399628\n0.50 0.302758\n0.75 0.924683\nName: 7442, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1331741658101488, std values: 1.0242245948351492, min values: -2.87684958111886, max values: 3.241738645014612, median values: -0.0310134407696521, and quantile values: 0.25 -0.835515\n0.50 -0.031013\n0.75 0.582540\nName: 7443, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2364013259402378, std values: 1.1295969789835816, min values: -2.608390851963037, max values: 5.0, median values: 0.3008048192658417, and quantile values: 0.25 -0.559312\n0.50 0.300805\n0.75 1.115325\nName: 7444, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15254197426636298, std values: 0.8020651306714119, min values: -2.1587143377696023, max values: 3.784832159836258, median values: -0.2404005190306754, and quantile values: 0.25 -0.699341\n0.50 -0.240401\n0.75 0.319603\nName: 7445, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7929412295269774, std values: 0.8992129896634274, min values: -2.4540853055744134, max values: 3.066111439712683, median values: 0.8558736390948197, and quantile values: 0.25 0.153014\n0.50 0.855874\n0.75 1.513416\nName: 7446, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08264333826336648, std values: 0.916491815545646, min values: -2.737201088051888, max values: 3.455472209455805, median values: -0.164459573093422, and quantile values: 0.25 -0.714300\n0.50 -0.164460\n0.75 0.518536\nName: 7447, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11597274148713624, std values: 1.172100648689859, min values: -2.620939317041317, max values: 4.0, median values: 0.0099266548994585, and quantile values: 0.25 -0.852876\n0.50 0.009927\n0.75 0.943189\nName: 7448, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5341068534914443, std values: 0.9125829424172566, min values: -2.933035609461076, max values: 5.0, median values: -0.6230730314160765, and quantile values: 0.25 -1.215110\n0.50 -0.623073\n0.75 0.087631\nName: 7449, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18306257551878616, std values: 1.0264376555371237, min values: -2.679056533720636, max values: 5.0, median values: 0.1587398075978675, and quantile values: 0.25 -0.565319\n0.50 0.158740\n0.75 0.903563\nName: 7450, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41043142334409144, std values: 1.0290571739256285, min values: -2.620939317041317, max values: 4.0, median values: 0.5252222531669973, and quantile values: 0.25 -0.227855\n0.50 0.525222\n0.75 1.199420\nName: 7451, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0328020083199325, std values: 0.7584761032830477, min values: -2.090799501270592, max values: 3.0, median values: 0.0272672984496401, and quantile values: 0.25 -0.447559\n0.50 0.027267\n0.75 0.502220\nName: 7452, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4009535865538045, std values: 1.2060350089824934, min values: -2.933035609461076, max values: 5.0, median values: 0.6063265125710351, and quantile values: 0.25 -0.061424\n0.50 0.606327\n0.75 1.166449\nName: 7453, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.008371862521712079, std values: 0.8684283129840099, min values: -2.196181211030292, max values: 3.5427287984042666, median values: -0.1025404501293313, and quantile values: 0.25 -0.650924\n0.50 -0.102540\n0.75 0.579211\nName: 7454, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18510256534505296, std values: 0.8378875889702544, min values: -2.6899145007874274, max values: 3.3636961113187773, median values: -0.1902169233892675, and quantile values: 0.25 -0.660977\n0.50 -0.190217\n0.75 0.306918\nName: 7455, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29497733551405175, std values: 0.7858785294633375, min values: -2.783691185534105, max values: 2.911081305398725, median values: 0.3491415018775741, and quantile values: 0.25 -0.229558\n0.50 0.349142\n0.75 0.793053\nName: 7456, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32069094410039195, std values: 0.8972115624650894, min values: -2.558791007225312, max values: 3.215720519334646, median values: -0.4144124098265433, and quantile values: 0.25 -0.918493\n0.50 -0.414412\n0.75 0.243633\nName: 7457, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5681379370787198, std values: 0.946802505883304, min values: -2.4960309093026924, max values: 3.147276669305989, median values: 0.7007605674611513, and quantile values: 0.25 -0.112382\n0.50 0.700761\n0.75 1.300631\nName: 7458, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3486714619028786, std values: 0.7424419434185423, min values: -1.8673370291985127, max values: 3.02009942896863, median values: 0.3271547177832846, and quantile values: 0.25 -0.132456\n0.50 0.327155\n0.75 0.833798\nName: 7459, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36617697177579517, std values: 0.9310460841267567, min values: -2.5156802245814003, max values: 4.0, median values: 0.4843666439640497, and quantile values: 0.25 -0.251522\n0.50 0.484367\n0.75 1.054172\nName: 7460, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13487573350459986, std values: 0.9215053672106998, min values: -2.309056383746169, max values: 5.0, median values: 0.0285780053768479, and quantile values: 0.25 -0.468971\n0.50 0.028578\n0.75 0.670504\nName: 7461, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.00836014735875382, std values: 1.0688629983606546, min values: -2.069213147559466, max values: 3.721862465295849, median values: -0.0754182346359071, and quantile values: 0.25 -0.863965\n0.50 -0.075418\n0.75 0.758110\nName: 7462, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03831323088836949, std values: 0.8393255109168822, min values: -2.096768618411309, max values: 3.3483277116524426, median values: 0.0007563042150051, and quantile values: 0.25 -0.622843\n0.50 0.000756\n0.75 0.525713\nName: 7463, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.548091455244256, std values: 0.8718334252492385, min values: -2.6652153608723106, max values: 5.0, median values: -0.6235276838606922, and quantile values: 0.25 -1.180565\n0.50 -0.623528\n0.75 -0.003640\nName: 7464, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23441843529747666, std values: 0.8430272404703764, min values: -2.4705236352348297, max values: 3.455472209455805, median values: -0.3461867482305941, and quantile values: 0.25 -0.861339\n0.50 -0.346187\n0.75 0.341319\nName: 7465, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29303390345500896, std values: 0.9920981578204576, min values: -2.8164291268114208, max values: 4.026668017837955, median values: -0.3460405519959416, and quantile values: 0.25 -0.955834\n0.50 -0.346041\n0.75 0.417800\nName: 7466, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1348803879623567, std values: 0.9690960521539537, min values: -2.730840794324401, max values: 3.5021977227593246, median values: 0.2850735640634146, and quantile values: 0.25 -0.440958\n0.50 0.285074\n0.75 0.770169\nName: 7467, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13285151194734457, std values: 1.0237232003988825, min values: -1.9823496288954088, max values: 3.390469008396469, median values: -0.0001376965657301, and quantile values: 0.25 -0.686840\n0.50 -0.000138\n0.75 0.873201\nName: 7468, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.5473713920110654, std values: 1.1774988375634277, min values: -3.101800431129944, max values: 6.0, median values: -1.9676770629884408, and quantile values: 0.25 -2.289693\n0.50 -1.967677\n0.75 -0.864965\nName: 7469, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18458022086728332, std values: 0.7904891186650573, min values: -1.9428645982304296, max values: 3.197902420311553, median values: 0.1517993448793905, and quantile values: 0.25 -0.311306\n0.50 0.151799\n0.75 0.676912\nName: 7470, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28724114219678915, std values: 0.8199867217781294, min values: -2.688157591415518, max values: 5.0, median values: -0.4004936974658897, and quantile values: 0.25 -0.860770\n0.50 -0.400494\n0.75 0.204701\nName: 7471, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30210867881999637, std values: 0.8189901241867404, min values: -2.919359491767569, max values: 6.0, median values: 0.3697191380825914, and quantile values: 0.25 -0.211633\n0.50 0.369719\n0.75 0.874775\nName: 7472, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19556282445012768, std values: 1.083094210820405, min values: -2.72346435408924, max values: 4.243835016543704, median values: 0.1687681740391567, and quantile values: 0.25 -0.564227\n0.50 0.168768\n0.75 0.907540\nName: 7473, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38798381179049, std values: 0.8506830439274434, min values: -2.860922438481449, max values: 3.241738645014612, median values: -0.453960615292758, and quantile values: 0.25 -0.958005\n0.50 -0.453961\n0.75 0.104564\nName: 7474, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13067828930069433, std values: 1.0472845312647738, min values: -2.8164291268114208, max values: 3.4758930087721422, median values: 0.2183186563414955, and quantile values: 0.25 -0.624632\n0.50 0.218319\n0.75 0.923532\nName: 7475, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14244876097131484, std values: 0.8390395727359917, min values: -2.497627580948261, max values: 3.9905524164385566, median values: -0.0804677041638567, and quantile values: 0.25 -0.582568\n0.50 -0.080468\n0.75 0.352392\nName: 7476, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2711582357189898, std values: 0.8244549145057057, min values: -2.113431735038636, max values: 3.5021977227593246, median values: -0.3228133043937869, and quantile values: 0.25 -0.850207\n0.50 -0.322813\n0.75 0.205588\nName: 7477, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.9293852779581424, std values: 1.0474684212937082, min values: -1.9552188698445567, max values: 6.0, median values: 0.9968629736631924, and quantile values: 0.25 0.170926\n0.50 0.996863\n0.75 1.769973\nName: 7478, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25025609402616283, std values: 0.815065099093219, min values: -2.4176069991382847, max values: 6.0, median values: 0.2966036468406479, and quantile values: 0.25 -0.317813\n0.50 0.296604\n0.75 0.817726\nName: 7479, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3020380454528475, std values: 0.8513695058894474, min values: -2.45229857681487, max values: 3.0418703198091483, median values: -0.4180980038598302, and quantile values: 0.25 -0.950758\n0.50 -0.418098\n0.75 0.209612\nName: 7480, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3025754655100383, std values: 0.9457419005429359, min values: -2.58513369695146, max values: 4.0, median values: -0.2539377554749246, and quantile values: 0.25 -0.986282\n0.50 -0.253938\n0.75 0.301250\nName: 7481, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2577398628143233, std values: 0.873770456665873, min values: -2.693453432157769, max values: 4.278004674434932, median values: 0.3380985177802416, and quantile values: 0.25 -0.333611\n0.50 0.338099\n0.75 0.852978\nName: 7482, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5100445434777177, std values: 1.3117502487308694, min values: -3.447534482420193, max values: 3.598076523509904, median values: 0.7972676691418903, and quantile values: 0.25 -0.149181\n0.50 0.797268\n0.75 1.440736\nName: 7483, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1931829677020572, std values: 1.0490069866081806, min values: -2.622408470084112, max values: 3.163266084685921, median values: -0.185910864890886, and quantile values: 0.25 -0.833447\n0.50 -0.185911\n0.75 0.521306\nName: 7484, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1959870045945222, std values: 0.8304770828705791, min values: -2.469941537133514, max values: 4.0, median values: 0.2454776980305723, and quantile values: 0.25 -0.408599\n0.50 0.245478\n0.75 0.769386\nName: 7485, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.012725144295391, std values: 0.8998533468205187, min values: -2.066806605942469, max values: 3.2936960268109283, median values: -0.0575613956876893, and quantile values: 0.25 -0.604474\n0.50 -0.057561\n0.75 0.628593\nName: 7486, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20282723833497507, std values: 0.916433111066156, min values: -2.56026492390943, max values: 4.0, median values: -0.2867390057471082, and quantile values: 0.25 -0.867073\n0.50 -0.286739\n0.75 0.367524\nName: 7487, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10747149739332226, std values: 0.9091443661645281, min values: -2.579952672199424, max values: 6.0, median values: 0.0342104987377232, and quantile values: 0.25 -0.562603\n0.50 0.034210\n0.75 0.754348\nName: 7488, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40656054348763276, std values: 0.8613805184552169, min values: -2.732564679617164, max values: 3.055874031381882, median values: -0.4061338554488797, and quantile values: 0.25 -0.944554\n0.50 -0.406134\n0.75 0.093937\nName: 7489, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3785822485687089, std values: 0.8992127026447039, min values: -3.002493140275396, max values: 5.0, median values: 0.4822914802089106, and quantile values: 0.25 -0.247323\n0.50 0.482291\n0.75 1.025564\nName: 7490, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4260133414444867, std values: 0.8460293751082575, min values: -2.7257183488872623, max values: 5.0, median values: 0.457137855803317, and quantile values: 0.25 -0.163329\n0.50 0.457138\n0.75 1.033892\nName: 7491, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23245161213089283, std values: 0.9615710790498994, min values: -2.4564928597243227, max values: 4.0, median values: -0.2589248112252906, and quantile values: 0.25 -1.043361\n0.50 -0.258925\n0.75 0.440802\nName: 7492, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.337920813041519, std values: 0.9318557582432397, min values: -2.862971749830789, max values: 3.0876051304901218, median values: 0.4469051831338753, and quantile values: 0.25 -0.231141\n0.50 0.446905\n0.75 0.999753\nName: 7493, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3338563700322421, std values: 0.9716470775596572, min values: -2.8164291268114208, max values: 3.030805337148847, median values: -0.4180707259130006, and quantile values: 0.25 -0.959652\n0.50 -0.418071\n0.75 0.274300\nName: 7494, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4445283950594199, std values: 0.9455390937052353, min values: -2.642042398333877, max values: 3.3636961113187773, median values: -0.4828756511288275, and quantile values: 0.25 -1.007831\n0.50 -0.482876\n0.75 0.137050\nName: 7495, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.010081056277184633, std values: 0.9229997419785151, min values: -2.841647375415054, max values: 5.0, median values: 0.0361118866134013, and quantile values: 0.25 -0.660108\n0.50 0.036112\n0.75 0.603351\nName: 7496, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08252467993938455, std values: 0.7106057625593613, min values: -2.783691185534105, max values: 2.709140819274436, median values: -0.0750864133633744, and quantile values: 0.25 -0.545300\n0.50 -0.075086\n0.75 0.328271\nName: 7497, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0969969428205893, std values: 0.7994416313797973, min values: -2.189133700744016, max values: 5.0, median values: 0.1101870384095341, and quantile values: 0.25 -0.445652\n0.50 0.110187\n0.75 0.614655\nName: 7498, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25116978940525114, std values: 0.9489777331581637, min values: -2.609385158408876, max values: 4.0, median values: 0.2922800492621745, and quantile values: 0.25 -0.308975\n0.50 0.292280\n0.75 0.891881\nName: 7499, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1233935640233257, std values: 0.8433649103909641, min values: -2.073997500902293, max values: 3.0, median values: 0.0824634517168963, and quantile values: 0.25 -0.563961\n0.50 0.082463\n0.75 0.729242\nName: 7500, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2310517589376057, std values: 0.972518386230506, min values: -2.693453432157769, max values: 3.709787027503053, median values: 0.3289694123689581, and quantile values: 0.25 -0.264482\n0.50 0.328969\n0.75 0.825910\nName: 7501, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0588021090858482, std values: 1.7734819693404766, min values: -3.045947208515832, max values: 6.0, median values: -1.9090830935955303, and quantile values: 0.25 -2.269278\n0.50 -1.909083\n0.75 0.145366\nName: 7502, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31808614149382564, std values: 0.7758531905225782, min values: -2.564449278715455, max values: 3.4217036547572275, median values: 0.3455311816715201, and quantile values: 0.25 -0.198084\n0.50 0.345531\n0.75 0.872839\nName: 7503, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01827453135047204, std values: 0.9042927593282123, min values: -2.7542003929097176, max values: 5.0, median values: 0.0239339478812471, and quantile values: 0.25 -0.605775\n0.50 0.023934\n0.75 0.548730\nName: 7504, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14030710983044048, std values: 0.8486035843371954, min values: -2.536941606705235, max values: 4.0, median values: 0.1587794823717323, and quantile values: 0.25 -0.427527\n0.50 0.158779\n0.75 0.685142\nName: 7505, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6068172689616417, std values: 1.0656227145567043, min values: -2.0549499710103847, max values: 5.0, median values: 0.604374967165834, and quantile values: 0.25 -0.175965\n0.50 0.604375\n0.75 1.471907\nName: 7506, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36590949182068777, std values: 0.7985994184241396, min values: -2.475778245535816, max values: 3.528773265847577, median values: -0.480433847799772, and quantile values: 0.25 -0.918295\n0.50 -0.480434\n0.75 0.088738\nName: 7507, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07187335085681826, std values: 0.8584363835294881, min values: -2.5879430435308, max values: 3.3483277116524426, median values: -0.2032772608338973, and quantile values: 0.25 -0.739230\n0.50 -0.203277\n0.75 0.526392\nName: 7508, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07522547420443318, std values: 0.8332867998123704, min values: -2.486556664247513, max values: 3.379902545505621, median values: -0.0125975240718251, and quantile values: 0.25 -0.570503\n0.50 -0.012598\n0.75 0.461579\nName: 7509, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19710048864545762, std values: 0.8538322538205565, min values: -2.8998169811239416, max values: 3.000356517591168, median values: -0.2334047121211493, and quantile values: 0.25 -0.885182\n0.50 -0.233405\n0.75 0.410604\nName: 7510, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20800804823368124, std values: 0.9089504895317055, min values: -2.623568901859613, max values: 4.0, median values: -0.2563910883848048, and quantile values: 0.25 -0.837204\n0.50 -0.256391\n0.75 0.405331\nName: 7511, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46569220279065693, std values: 0.8880600259834532, min values: -2.0217442892988813, max values: 6.0, median values: -0.5820361300726148, and quantile values: 0.25 -1.193859\n0.50 -0.582036\n0.75 0.130787\nName: 7512, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6286887342601104, std values: 1.053903542745659, min values: -2.8467638118011016, max values: 5.0, median values: -0.7291418834045937, and quantile values: 0.25 -1.368332\n0.50 -0.729142\n0.75 0.082863\nName: 7513, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8454937859577215, std values: 0.8446599763624741, min values: -2.7016525309724218, max values: 3.1395741599540568, median values: -1.037848046467664, and quantile values: 0.25 -1.485058\n0.50 -1.037848\n0.75 -0.361532\nName: 7514, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2499720849810056, std values: 0.9252084682173641, min values: -2.7211321814067784, max values: 3.0533207538164056, median values: -0.1995629594665697, and quantile values: 0.25 -0.805971\n0.50 -0.199563\n0.75 0.369466\nName: 7515, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.9940123703789304, std values: 1.090381278129238, min values: -2.1285756251111843, max values: 4.278004674434932, median values: 0.9459207116645172, and quantile values: 0.25 0.284942\n0.50 0.945921\n0.75 1.691113\nName: 7516, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.026670831934739053, std values: 0.9823496762694919, min values: -2.1120852507752783, max values: 6.0, median values: -0.081653318284695, and quantile values: 0.25 -0.799771\n0.50 -0.081653\n0.75 0.747580\nName: 7517, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09523799168113535, std values: 0.9399500693900493, min values: -2.4564928597243227, max values: 4.0, median values: -0.1332189138636565, and quantile values: 0.25 -0.788714\n0.50 -0.133219\n0.75 0.513541\nName: 7518, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1369904615971213, std values: 1.0196806371371288, min values: -2.673549169958716, max values: 6.0, median values: -0.1528580509687325, and quantile values: 0.25 -0.719250\n0.50 -0.152858\n0.75 0.532238\nName: 7519, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2022206559046582, std values: 0.94607769180608, min values: -2.2161166709808824, max values: 6.0, median values: 0.1705759114664815, and quantile values: 0.25 -0.409087\n0.50 0.170576\n0.75 0.753312\nName: 7520, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26622040471173225, std values: 0.9201169892677001, min values: -2.5953860446419177, max values: 5.0, median values: -0.228121783009531, and quantile values: 0.25 -0.867049\n0.50 -0.228122\n0.75 0.310523\nName: 7521, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08741023511532335, std values: 0.8055244732700451, min values: -1.988675962110902, max values: 6.0, median values: -0.1792780755759019, and quantile values: 0.25 -0.679528\n0.50 -0.179278\n0.75 0.418882\nName: 7522, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20754581202513217, std values: 1.1019180209641344, min values: -2.435922215845786, max values: 3.784832159836258, median values: 0.1652690693014488, and quantile values: 0.25 -0.619461\n0.50 0.165269\n0.75 0.857384\nName: 7523, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11357261681075338, std values: 0.8733463713911692, min values: -2.2915911556076085, max values: 3.0774992973297404, median values: 0.1684804990208117, and quantile values: 0.25 -0.533301\n0.50 0.168480\n0.75 0.716375\nName: 7524, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25611761860050103, std values: 0.917210484440203, min values: -2.1217267615601973, max values: 3.667275230673496, median values: 0.2283420252545784, and quantile values: 0.25 -0.354532\n0.50 0.228342\n0.75 0.862326\nName: 7525, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3042019809992928, std values: 1.158852312106033, min values: -2.6270253558526173, max values: 4.0, median values: -0.1623706608420026, and quantile values: 0.25 -1.131683\n0.50 -0.162371\n0.75 0.570957\nName: 7526, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5683061959710355, std values: 1.0360391879276531, min values: -2.8282523283494294, max values: 3.3483277116524426, median values: -0.642853644525011, and quantile values: 0.25 -1.236385\n0.50 -0.642854\n0.75 0.060376\nName: 7527, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1921880893961598, std values: 0.9060359713378036, min values: -2.634919142586459, max values: 6.0, median values: -0.2800224313738989, and quantile values: 0.25 -0.884181\n0.50 -0.280022\n0.75 0.411048\nName: 7528, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3903869175473896, std values: 0.9663733221859006, min values: -2.566149343918479, max values: 6.0, median values: 0.4875587102476371, and quantile values: 0.25 -0.330117\n0.50 0.487559\n0.75 1.146329\nName: 7529, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7009961170829243, std values: 1.005679946778602, min values: -2.189738911855601, max values: 6.0, median values: 0.7984111256950739, and quantile values: 0.25 0.002222\n0.50 0.798411\n0.75 1.482074\nName: 7530, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45035455459113105, std values: 1.2228736704428673, min values: -2.8680719719444903, max values: 3.9048392686725855, median values: -0.4073352033375508, and quantile values: 0.25 -1.664070\n0.50 -0.407335\n0.75 0.487795\nName: 7531, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12951106945440988, std values: 1.005142913880381, min values: -2.657870006553045, max values: 3.2328207660681025, median values: -0.1676894645344449, and quantile values: 0.25 -0.735075\n0.50 -0.167689\n0.75 0.533809\nName: 7532, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01188965623544039, std values: 0.9371071244936126, min values: -2.8246479422601736, max values: 6.0, median values: -0.0160721549541299, and quantile values: 0.25 -0.632618\n0.50 -0.016072\n0.75 0.628284\nName: 7533, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.043179986522365016, std values: 0.8068894020059232, min values: -2.605098146828148, max values: 6.0, median values: -0.0477437617175558, and quantile values: 0.25 -0.526202\n0.50 -0.047744\n0.75 0.578233\nName: 7534, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9109840793501076, std values: 1.1156799557423789, min values: -2.825926939679757, max values: 3.0774992973297404, median values: -0.8577144117754741, and quantile values: 0.25 -1.905434\n0.50 -0.857714\n0.75 -0.062199\nName: 7535, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1030748723980872, std values: 0.8319256545271471, min values: -2.419659473655063, max values: 4.026668017837955, median values: -0.1482569849715511, and quantile values: 0.25 -0.686990\n0.50 -0.148257\n0.75 0.362365\nName: 7536, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20022800171651126, std values: 1.0672667088756684, min values: -2.769191083399913, max values: 3.349054967837474, median values: 0.3258185608992387, and quantile values: 0.25 -0.420085\n0.50 0.325819\n0.75 0.994779\nName: 7537, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13684682125242856, std values: 0.7796691051915672, min values: -2.2161166709808824, max values: 6.0, median values: 0.0951066221254111, and quantile values: 0.25 -0.343907\n0.50 0.095107\n0.75 0.588353\nName: 7538, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38140845510781723, std values: 0.7988570302218391, min values: -2.5213149333948146, max values: 4.278004674434932, median values: -0.5028911171922372, and quantile values: 0.25 -0.933801\n0.50 -0.502891\n0.75 0.070559\nName: 7539, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4692446513872604, std values: 0.8497514316212678, min values: -2.300042081328127, max values: 4.0, median values: 0.493285733546485, and quantile values: 0.25 -0.111549\n0.50 0.493286\n0.75 1.006162\nName: 7540, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13127992691973125, std values: 1.0711423843039556, min values: -2.778044916685896, max values: 3.216771431244405, median values: -0.0646246434207952, and quantile values: 0.25 -0.862366\n0.50 -0.064625\n0.75 0.655731\nName: 7541, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6814321289231589, std values: 0.9845734020473799, min values: -2.92272757463548, max values: 6.0, median values: -0.7696132646173806, and quantile values: 0.25 -1.317332\n0.50 -0.769613\n0.75 -0.076413\nName: 7542, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27716475621645265, std values: 0.9666658863855143, min values: -2.055430953058359, max values: 5.0, median values: 0.1883641689199391, and quantile values: 0.25 -0.437566\n0.50 0.188364\n0.75 0.954123\nName: 7543, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02163249949431053, std values: 0.8316727786627045, min values: -2.004849625062012, max values: 6.0, median values: -0.0537274979701327, and quantile values: 0.25 -0.557716\n0.50 -0.053727\n0.75 0.522731\nName: 7544, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10995131899787922, std values: 1.1033646527812788, min values: -2.8246479422601736, max values: 5.0, median values: 0.1010205232552067, and quantile values: 0.25 -0.673246\n0.50 0.101021\n0.75 0.882391\nName: 7545, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6846256889875898, std values: 0.9284040462936091, min values: -3.0223671288921072, max values: 4.243835016543704, median values: -0.897099820237884, and quantile values: 0.25 -1.393461\n0.50 -0.897100\n0.75 -0.159881\nName: 7546, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37739107964714746, std values: 1.0973766739607027, min values: -2.5695487141177, max values: 4.0, median values: 0.5864092076591004, and quantile values: 0.25 -0.238842\n0.50 0.586409\n0.75 1.154120\nName: 7547, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06659532452876306, std values: 0.7859522777767987, min values: -2.730840794324401, max values: 3.0, median values: -0.0486811872588704, and quantile values: 0.25 -0.606128\n0.50 -0.048681\n0.75 0.431483\nName: 7548, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20695180608449107, std values: 0.8296360758409201, min values: -2.0549757734273486, max values: 5.0, median values: 0.1105195285236004, and quantile values: 0.25 -0.385226\n0.50 0.110520\n0.75 0.756240\nName: 7549, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02575896376729698, std values: 0.8251612592613786, min values: -2.697026421440041, max values: 4.026668017837955, median values: -0.0121957066195266, and quantile values: 0.25 -0.613358\n0.50 -0.012196\n0.75 0.505790\nName: 7550, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05098328053473434, std values: 0.8963802695426917, min values: -2.56026492390943, max values: 4.0, median values: -0.0709732706203316, and quantile values: 0.25 -0.789175\n0.50 -0.070973\n0.75 0.593206\nName: 7551, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5225607800612653, std values: 1.205138746939341, min values: -2.825926939679757, max values: 3.867701659180865, median values: -0.5079128617943162, and quantile values: 0.25 -1.208224\n0.50 -0.507913\n0.75 0.293148\nName: 7552, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3263003168803182, std values: 0.9087810109477134, min values: -2.673549169958716, max values: 6.0, median values: 0.309106957330815, and quantile values: 0.25 -0.376940\n0.50 0.309107\n0.75 1.067515\nName: 7553, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12158239385903889, std values: 1.0358730843912054, min values: -2.0884920198234647, max values: 3.627976272701048, median values: -0.0600718123374027, and quantile values: 0.25 -0.651830\n0.50 -0.060072\n0.75 0.753164\nName: 7554, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23117594060054078, std values: 0.7423980016941316, min values: -2.2012167772695554, max values: 3.071353155688046, median values: 0.2359241343123456, and quantile values: 0.25 -0.211555\n0.50 0.235924\n0.75 0.688067\nName: 7555, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.036811521167822, std values: 0.9557859246276283, min values: -2.6466193392086392, max values: 4.0, median values: 0.0721604976422129, and quantile values: 0.25 -0.598409\n0.50 0.072160\n0.75 0.657678\nName: 7556, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11247145494200297, std values: 0.9953618667047417, min values: -2.56026492390943, max values: 4.0, median values: -0.0400712062202218, and quantile values: 0.25 -0.574786\n0.50 -0.040071\n0.75 0.712501\nName: 7557, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09802327478761903, std values: 1.0906917924681674, min values: -2.8350118695332047, max values: 5.0, median values: -0.1551903504507248, and quantile values: 0.25 -0.859693\n0.50 -0.155190\n0.75 0.650584\nName: 7558, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.004253153511362573, std values: 0.7754945142345483, min values: -2.2915911556076085, max values: 3.415255285860171, median values: -0.0947943978876561, and quantile values: 0.25 -0.506692\n0.50 -0.094794\n0.75 0.439658\nName: 7559, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09133197886786897, std values: 0.8313331505693163, min values: -2.084038461791521, max values: 3.709787027503053, median values: 0.0379858458493626, and quantile values: 0.25 -0.455514\n0.50 0.037986\n0.75 0.623647\nName: 7560, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36687650764172375, std values: 0.8357020578041063, min values: -2.321510952509234, max values: 3.260388056018088, median values: 0.3910110115131924, and quantile values: 0.25 -0.140220\n0.50 0.391011\n0.75 0.896181\nName: 7561, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21049576735726722, std values: 0.7029887203350895, min values: -2.100754849305273, max values: 2.890580632480353, median values: 0.2228368019156353, and quantile values: 0.25 -0.232757\n0.50 0.222837\n0.75 0.652385\nName: 7562, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24767017518462384, std values: 0.9187428118391822, min values: -3.1175233493066874, max values: 2.846763811801109, median values: -0.2873688269700015, and quantile values: 0.25 -0.831781\n0.50 -0.287369\n0.75 0.347912\nName: 7563, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26322707315741284, std values: 0.9162000544822101, min values: -2.224985974083902, max values: 3.867701659180865, median values: 0.3156258891374395, and quantile values: 0.25 -0.412430\n0.50 0.315626\n0.75 0.962027\nName: 7564, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19195365966809874, std values: 0.9439404247098669, min values: -2.5953860446419177, max values: 3.5021977227593246, median values: 0.1909148829946779, and quantile values: 0.25 -0.407495\n0.50 0.190915\n0.75 0.814337\nName: 7565, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2562766108979117, std values: 0.7498344287884239, min values: -2.090851036172633, max values: 5.0, median values: 0.2284550935321107, and quantile values: 0.25 -0.208599\n0.50 0.228455\n0.75 0.696959\nName: 7566, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.061064651734968334, std values: 1.066704349624352, min values: -2.6800544037614658, max values: 4.0, median values: -0.0256970069144487, and quantile values: 0.25 -0.666131\n0.50 -0.025697\n0.75 0.640937\nName: 7567, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5610600122419388, std values: 0.9194700080191223, min values: -2.92272757463548, max values: 6.0, median values: -0.701183598672464, and quantile values: 0.25 -1.286765\n0.50 -0.701184\n0.75 -0.002286\nName: 7568, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3188840453479963, std values: 0.9416520992867458, min values: -2.1149759989911825, max values: 3.055874031381882, median values: -0.4196460970300018, and quantile values: 0.25 -1.100571\n0.50 -0.419646\n0.75 0.365168\nName: 7569, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05188318792938703, std values: 1.251113689191086, min values: -2.9265160609644223, max values: 6.0, median values: 0.2281217830095311, and quantile values: 0.25 -0.749457\n0.50 0.228122\n0.75 0.781256\nName: 7570, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1392925484135957, std values: 0.8623564531566978, min values: -2.0636979543884086, max values: 3.867701659180865, median values: 0.0839004590260664, and quantile values: 0.25 -0.429889\n0.50 0.083900\n0.75 0.629761\nName: 7571, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07642272766812128, std values: 0.7316851586451106, min values: -2.5039074859839925, max values: 4.0, median values: 0.1113230968157934, and quantile values: 0.25 -0.390962\n0.50 0.111323\n0.75 0.536190\nName: 7572, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3091638686855338, std values: 0.8637592782596727, min values: -2.693453432157769, max values: 3.3337116327022187, median values: -0.3912893253988895, and quantile values: 0.25 -0.990601\n0.50 -0.391289\n0.75 0.264853\nName: 7573, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14746489361120577, std values: 0.7801656047021756, min values: -2.1525285902534432, max values: 5.0, median values: -0.1512685176242936, and quantile values: 0.25 -0.692086\n0.50 -0.151269\n0.75 0.343848\nName: 7574, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.014906053542482246, std values: 0.8450567453310778, min values: -2.0648102585467867, max values: 6.0, median values: -0.0882125326476622, and quantile values: 0.25 -0.615543\n0.50 -0.088213\n0.75 0.570341\nName: 7575, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09703504899967468, std values: 0.8046750600059769, min values: -1.9412308804726035, max values: 6.0, median values: 0.0224546660852351, and quantile values: 0.25 -0.457505\n0.50 0.022455\n0.75 0.634469\nName: 7576, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09255357811223083, std values: 0.9805802139004586, min values: -1.9995356510942743, max values: 3.438667023696733, median values: 0.0020929893205768, and quantile values: 0.25 -0.677148\n0.50 0.002093\n0.75 0.795460\nName: 7577, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2102912341878358, std values: 0.9524891314232836, min values: -2.657750824678472, max values: 5.0, median values: -0.2925063716185281, and quantile values: 0.25 -0.841776\n0.50 -0.292506\n0.75 0.351182\nName: 7578, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3419907891406168, std values: 0.9381497609251529, min values: -2.431663486191596, max values: 3.670892362631932, median values: 0.4336601246490356, and quantile values: 0.25 -0.325354\n0.50 0.433660\n0.75 1.008203\nName: 7579, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13852113119149242, std values: 0.8640356664667143, min values: -2.566149343918479, max values: 6.0, median values: 0.1990948751851084, and quantile values: 0.25 -0.474758\n0.50 0.199095\n0.75 0.788451\nName: 7580, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03558410079995655, std values: 0.8648676685381335, min values: -2.687115288423959, max values: 5.0, median values: 0.1056533920243161, and quantile values: 0.25 -0.478260\n0.50 0.105653\n0.75 0.572515\nName: 7581, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2849747811776895, std values: 0.9747579965318328, min values: -2.1238235090034925, max values: 5.0, median values: 0.3030311159082718, and quantile values: 0.25 -0.438445\n0.50 0.303031\n0.75 1.008046\nName: 7582, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11324403914974585, std values: 1.1967628379872002, min values: -2.684072796644972, max values: 6.0, median values: 0.308405170426083, and quantile values: 0.25 -0.600898\n0.50 0.308405\n0.75 0.997905\nName: 7583, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6428694821706341, std values: 0.8536263557691344, min values: -2.8246479422601736, max values: 5.0, median values: -0.8229279893197103, and quantile values: 0.25 -1.303721\n0.50 -0.822928\n0.75 -0.129298\nName: 7584, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20038895069210688, std values: 0.9551356881093542, min values: -2.5631960397140583, max values: 4.0, median values: 0.1934186780560695, and quantile values: 0.25 -0.442939\n0.50 0.193419\n0.75 0.907464\nName: 7585, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4042855149483518, std values: 1.2296259887012455, min values: -2.944950884974346, max values: 3.5021977227593246, median values: 0.4649171740704695, and quantile values: 0.25 -0.282161\n0.50 0.464917\n0.75 1.299311\nName: 7586, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10395793766933396, std values: 0.7836191449775196, min values: -2.0818418477937786, max values: 5.0, median values: -0.1187583335082705, and quantile values: 0.25 -0.624063\n0.50 -0.118758\n0.75 0.359493\nName: 7587, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3470280000792235, std values: 0.7678422780497314, min values: -1.9604341550668736, max values: 3.306454397423372, median values: 0.3991801175422869, and quantile values: 0.25 -0.172644\n0.50 0.399180\n0.75 0.880117\nName: 7588, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4010115723410858, std values: 0.9581010511966204, min values: -3.0148736195915964, max values: 3.4758930087721422, median values: -0.5059407217852725, and quantile values: 0.25 -1.054381\n0.50 -0.505941\n0.75 0.134173\nName: 7589, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1188059584824764, std values: 0.9168230220120271, min values: -2.024549489264694, max values: 5.0, median values: -0.2268848227226562, and quantile values: 0.25 -0.831033\n0.50 -0.226885\n0.75 0.489392\nName: 7590, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17841234266157566, std values: 0.7739949682258276, min values: -2.8998169811239416, max values: 3.598076523509904, median values: 0.1282607377382789, and quantile values: 0.25 -0.336379\n0.50 0.128261\n0.75 0.658020\nName: 7591, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2651113724763434, std values: 0.7448204180830752, min values: -2.439930808627264, max values: 4.0, median values: 0.2784251185295183, and quantile values: 0.25 -0.203001\n0.50 0.278425\n0.75 0.702554\nName: 7592, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0278434431562467, std values: 1.1308139280128824, min values: -3.236860296211546, max values: 3.0838352979250487, median values: -1.03728193457259, and quantile values: 0.25 -1.982546\n0.50 -1.037282\n0.75 -0.134197\nName: 7593, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20392798439829748, std values: 0.8138950798212544, min values: -2.09134137830184, max values: 5.0, median values: 0.1134997629385386, and quantile values: 0.25 -0.357525\n0.50 0.113500\n0.75 0.730561\nName: 7594, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11541360176124948, std values: 1.2569291248308483, min values: -2.6820581866633817, max values: 3.496479817235339, median values: 0.1882679396543462, and quantile values: 0.25 -0.664097\n0.50 0.188268\n0.75 1.072856\nName: 7595, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08182122737620867, std values: 0.9317861544236273, min values: -2.5820330744015787, max values: 4.0, median values: 0.0936347431394496, and quantile values: 0.25 -0.454449\n0.50 0.093635\n0.75 0.735322\nName: 7596, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1707852877176288, std values: 0.9244921454150765, min values: -2.428047068876455, max values: 3.05919958255637, median values: -0.1402201560322628, and quantile values: 0.25 -0.836500\n0.50 -0.140220\n0.75 0.469156\nName: 7597, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16405175414496898, std values: 1.1128081036177335, min values: -2.916688926075616, max values: 6.0, median values: -0.056421849154107, and quantile values: 0.25 -0.819881\n0.50 -0.056422\n0.75 0.575999\nName: 7598, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4752767426997031, std values: 0.837843705693011, min values: -2.842989614395848, max values: 5.0, median values: -0.5005859097966013, and quantile values: 0.25 -1.119438\n0.50 -0.500586\n0.75 0.037919\nName: 7599, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20411297867819037, std values: 1.0293281207022087, min values: -2.6270253558526173, max values: 4.0, median values: 0.2858033295420756, and quantile values: 0.25 -0.444399\n0.50 0.285803\n0.75 0.984942\nName: 7600, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4626521279746859, std values: 1.0397881750726583, min values: -2.58513369695146, max values: 3.1485882570365185, median values: 0.3651172901776383, and quantile values: 0.25 -0.291446\n0.50 0.365117\n0.75 1.159713\nName: 7601, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2190193172466727, std values: 0.7933476515849234, min values: -2.212004168819108, max values: 3.3636961113187773, median values: 0.2532055549682785, and quantile values: 0.25 -0.288574\n0.50 0.253206\n0.75 0.719861\nName: 7602, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2514819183328054, std values: 0.9201728682967797, min values: -2.057690731496465, max values: 5.0, median values: -0.293516140398847, and quantile values: 0.25 -0.987447\n0.50 -0.293516\n0.75 0.405800\nName: 7603, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11848705881093533, std values: 0.9597303038113877, min values: -2.5682675825126706, max values: 5.0, median values: -0.0545824694962393, and quantile values: 0.25 -0.861305\n0.50 -0.054582\n0.75 0.548758\nName: 7604, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12169555444030523, std values: 0.8229426035788594, min values: -2.5563022890751474, max values: 4.0, median values: 0.1053206628766763, and quantile values: 0.25 -0.401985\n0.50 0.105321\n0.75 0.612889\nName: 7605, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22805328652567344, std values: 0.7791954619183208, min values: -2.419133598913117, max values: 3.2328207660681025, median values: -0.2099652809533531, and quantile values: 0.25 -0.803780\n0.50 -0.209965\n0.75 0.318161\nName: 7606, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3779681874521338, std values: 0.8838827006735536, min values: -2.5046447434119337, max values: 4.0, median values: 0.4520076677406069, and quantile values: 0.25 -0.219898\n0.50 0.452008\n0.75 0.982680\nName: 7607, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17260845814484505, std values: 0.8746070814677767, min values: -2.469941537133514, max values: 4.0, median values: -0.1926942614491825, and quantile values: 0.25 -0.902611\n0.50 -0.192694\n0.75 0.463920\nName: 7608, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05913628456898346, std values: 0.8677160480847428, min values: -2.542889966859849, max values: 6.0, median values: -0.1374407070325881, and quantile values: 0.25 -0.665158\n0.50 -0.137441\n0.75 0.494767\nName: 7609, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19128204212799985, std values: 1.063268406584161, min values: -3.236860296211546, max values: 2.98373867666567, median values: 0.3479908874164591, and quantile values: 0.25 -0.329668\n0.50 0.347991\n0.75 0.884413\nName: 7610, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1889324120518905, std values: 0.8333446081653423, min values: -2.475778245535816, max values: 3.258347009006034, median values: -0.2673370305127004, and quantile values: 0.25 -0.748819\n0.50 -0.267337\n0.75 0.325404\nName: 7611, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4442112087778758, std values: 1.0810920903991514, min values: -2.982771139679002, max values: 4.0, median values: -0.4351572343470544, and quantile values: 0.25 -1.139346\n0.50 -0.435157\n0.75 0.304690\nName: 7612, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18240074603094808, std values: 0.7719293205272829, min values: -2.601639132009086, max values: 6.0, median values: -0.2721616957948347, and quantile values: 0.25 -0.740353\n0.50 -0.272162\n0.75 0.320654\nName: 7613, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10330039120371504, std values: 0.8472032835652905, min values: -2.524695047194556, max values: 5.0, median values: -0.0712493609394503, and quantile values: 0.25 -0.723818\n0.50 -0.071249\n0.75 0.431185\nName: 7614, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.374774271896119, std values: 1.0051268424279736, min values: -2.6603025395856053, max values: 5.0, median values: -0.4159378194505133, and quantile values: 0.25 -1.114300\n0.50 -0.415938\n0.75 0.311927\nName: 7615, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3469680403372388, std values: 0.9779900291255551, min values: -2.673549169958716, max values: 6.0, median values: -0.4091643513146659, and quantile values: 0.25 -1.112611\n0.50 -0.409164\n0.75 0.355358\nName: 7616, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04803361907715273, std values: 0.7390486521846293, min values: -2.414039489297912, max values: 6.0, median values: -0.029405560773537, and quantile values: 0.25 -0.534908\n0.50 -0.029406\n0.75 0.397153\nName: 7617, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3990394919350459, std values: 1.2800541377524421, min values: -2.9666813816765707, max values: 4.0, median values: -0.2385867244927598, and quantile values: 0.25 -1.450917\n0.50 -0.238587\n0.75 0.578540\nName: 7618, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33762114984907243, std values: 1.1098844307563338, min values: -2.5293911731823453, max values: 3.349054967837474, median values: -0.3168290442592307, and quantile values: 0.25 -1.052570\n0.50 -0.316829\n0.75 0.406750\nName: 7619, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.014120914875443768, std values: 0.7151593614331573, min values: -2.264034258932616, max values: 3.02009942896863, median values: -0.0495910823654297, and quantile values: 0.25 -0.479108\n0.50 -0.049591\n0.75 0.422132\nName: 7620, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10379678111701125, std values: 0.9655692160730783, min values: -2.075689841339451, max values: 3.438667023696733, median values: 0.0710284882506837, and quantile values: 0.25 -0.649377\n0.50 0.071028\n0.75 0.896746\nName: 7621, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.036368287083361955, std values: 0.8661052394433494, min values: -2.300042081328127, max values: 4.0, median values: 0.0136611684943317, and quantile values: 0.25 -0.708850\n0.50 0.013661\n0.75 0.614372\nName: 7622, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14084182722154245, std values: 0.97950605849637, min values: -2.87684958111886, max values: 3.155170554159904, median values: -0.1928648502624022, and quantile values: 0.25 -0.697803\n0.50 -0.192865\n0.75 0.440985\nName: 7623, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36012188642426896, std values: 0.9511415095347345, min values: -2.2733303553704416, max values: 3.0, median values: -0.406108730094562, and quantile values: 0.25 -1.150132\n0.50 -0.406109\n0.75 0.350352\nName: 7624, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21476430503495153, std values: 1.0187197902479257, min values: -2.100754849305273, max values: 3.9905524164385566, median values: 0.2054492522454994, and quantile values: 0.25 -0.616319\n0.50 0.205449\n0.75 0.946180\nName: 7625, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6077001207084712, std values: 1.5725334447241353, min values: -2.879968592907284, max values: 4.0, median values: -0.6988932197339445, and quantile values: 0.25 -2.030023\n0.50 -0.698893\n0.75 0.382860\nName: 7626, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11452408949251489, std values: 0.8732708094947926, min values: -2.226424194672579, max values: 4.0, median values: 0.1742606779738293, and quantile values: 0.25 -0.527342\n0.50 0.174261\n0.75 0.710614\nName: 7627, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.326621362726541, std values: 1.162115314991315, min values: -2.5624611946462936, max values: 5.0, median values: 0.2859341110175122, and quantile values: 0.25 -0.529558\n0.50 0.285934\n0.75 1.219507\nName: 7628, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4368350071780451, std values: 0.7995237703999557, min values: -2.1103582417935702, max values: 6.0, median values: -0.5562370995398008, and quantile values: 0.25 -0.994467\n0.50 -0.556237\n0.75 0.055641\nName: 7629, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15437606729391395, std values: 0.9535271421746594, min values: -2.799990485600992, max values: 5.0, median values: 0.1517993448793905, and quantile values: 0.25 -0.537814\n0.50 0.151799\n0.75 0.821669\nName: 7630, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10124447148132494, std values: 0.8363964929052519, min values: -2.72346435408924, max values: 4.0, median values: 0.0438797174403676, and quantile values: 0.25 -0.520707\n0.50 0.043880\n0.75 0.678694\nName: 7631, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17243619735674465, std values: 0.867204228904472, min values: -2.4536054974529624, max values: 6.0, median values: -0.2524246906803741, and quantile values: 0.25 -0.772356\n0.50 -0.252425\n0.75 0.335663\nName: 7632, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.316068910849888, std values: 0.7769668122686026, min values: -2.536941606705235, max values: 4.0, median values: -0.3885630202858762, and quantile values: 0.25 -0.864323\n0.50 -0.388563\n0.75 0.179693\nName: 7633, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2089241527119155, std values: 0.8346896670041459, min values: -1.9760998566567527, max values: 3.5021977227593246, median values: 0.2762146258271185, and quantile values: 0.25 -0.406378\n0.50 0.276215\n0.75 0.789142\nName: 7634, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17926719805213068, std values: 0.8893942680945742, min values: -2.7211321814067784, max values: 3.096891534584617, median values: -0.2150176841042083, and quantile values: 0.25 -0.711784\n0.50 -0.215018\n0.75 0.349347\nName: 7635, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04939990879310905, std values: 1.1861169734602137, min values: -2.93129584560762, max values: 6.0, median values: 0.2209715824654078, and quantile values: 0.25 -0.703180\n0.50 0.220972\n0.75 0.978933\nName: 7636, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2703052867401005, std values: 0.8000983819398271, min values: -2.245752867605861, max values: 3.336438412828754, median values: 0.3165700087324231, and quantile values: 0.25 -0.266993\n0.50 0.316570\n0.75 0.823857\nName: 7637, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3157114313324663, std values: 0.7984279235279144, min values: -2.841647375415054, max values: 3.438667023696733, median values: -0.4401771832227003, and quantile values: 0.25 -0.905968\n0.50 -0.440177\n0.75 0.188100\nName: 7638, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32075684770904694, std values: 0.9013422934423277, min values: -2.3771558481240653, max values: 4.0, median values: -0.4627091746202564, and quantile values: 0.25 -1.008655\n0.50 -0.462709\n0.75 0.248693\nName: 7639, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8034135767682724, std values: 1.141698730444898, min values: -2.5825978442440407, max values: 6.0, median values: 0.879792636174557, and quantile values: 0.25 -0.067149\n0.50 0.879793\n0.75 1.744518\nName: 7640, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4396218114740963, std values: 1.459651763632966, min values: -2.8563982925340614, max values: 5.0, median values: -0.3341631811910741, and quantile values: 0.25 -1.901304\n0.50 -0.334163\n0.75 0.657986\nName: 7641, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5902386983473068, std values: 0.9440382938965363, min values: -1.949180847976652, max values: 3.4758930087721422, median values: 0.6191518869768634, and quantile values: 0.25 -0.035809\n0.50 0.619152\n0.75 1.259758\nName: 7642, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5323769846442781, std values: 0.8831496199561305, min values: -2.12073996675014, max values: 3.569037956734876, median values: 0.5287027837513343, and quantile values: 0.25 -0.106937\n0.50 0.528703\n0.75 1.209139\nName: 7643, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5501814778017197, std values: 0.8725784868766342, min values: -2.8164291268114208, max values: 3.434669824302974, median values: -0.718576506161475, and quantile values: 0.25 -1.209368\n0.50 -0.718577\n0.75 -0.019902\nName: 7644, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20491281350972262, std values: 0.7772663355463407, min values: -2.502643588348163, max values: 4.0, median values: -0.2769374059652077, and quantile values: 0.25 -0.741593\n0.50 -0.276937\n0.75 0.290412\nName: 7645, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.545537182448198, std values: 1.1020192305961842, min values: -2.960014365184806, max values: 6.0, median values: -0.44962984070689, and quantile values: 0.25 -1.326933\n0.50 -0.449630\n0.75 0.186175\nName: 7646, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20529293629194895, std values: 0.9682388065466366, min values: -2.841647375415054, max values: 5.0, median values: -0.1460908071852257, and quantile values: 0.25 -0.693829\n0.50 -0.146091\n0.75 0.428541\nName: 7647, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23780062931068427, std values: 0.9272321332593689, min values: -2.6122411453164007, max values: 4.0, median values: -0.3810296088161975, and quantile values: 0.25 -0.873484\n0.50 -0.381030\n0.75 0.265623\nName: 7648, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.012492065909444036, std values: 1.0078916676623646, min values: -2.5399045531878324, max values: 4.0, median values: 0.0782153475333174, and quantile values: 0.25 -0.612319\n0.50 0.078215\n0.75 0.671174\nName: 7649, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.294616973766796, std values: 1.005532601344831, min values: -2.560041333834972, max values: 3.455472209455805, median values: 0.215499170590213, and quantile values: 0.25 -0.455426\n0.50 0.215499\n0.75 1.012878\nName: 7650, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11431987016305069, std values: 0.7700675633507222, min values: -2.0181768990626923, max values: 3.1841025362512254, median values: 0.0684334907913495, and quantile values: 0.25 -0.376002\n0.50 0.068433\n0.75 0.596263\nName: 7651, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1196011668641559, std values: 0.7952539764535644, min values: -2.5213149333948146, max values: 3.0838352979250487, median values: 0.1531924147497136, and quantile values: 0.25 -0.387569\n0.50 0.153192\n0.75 0.621021\nName: 7652, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3579783988816943, std values: 1.0731254767094491, min values: -2.0918322237798, max values: 3.415255285860171, median values: 0.3593380046389301, and quantile values: 0.25 -0.496144\n0.50 0.359338\n0.75 1.245265\nName: 7653, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.005266203006304844, std values: 0.8644105421183697, min values: -2.4737574649270093, max values: 3.0, median values: -0.0087300731309943, and quantile values: 0.25 -0.582540\n0.50 -0.008730\n0.75 0.553903\nName: 7654, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41204930552371816, std values: 1.0287844836050895, min values: -2.801183634509044, max values: 5.0, median values: -0.5527463366386111, and quantile values: 0.25 -1.253934\n0.50 -0.552746\n0.75 0.292999\nName: 7655, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0063853294635374605, std values: 0.7529256466566319, min values: -2.3922473154067863, max values: 5.0, median values: -0.0456067643527854, and quantile values: 0.25 -0.483221\n0.50 -0.045607\n0.75 0.400366\nName: 7656, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1485249011465728, std values: 1.2156385777674477, min values: -2.9622221028070275, max values: 6.0, median values: -0.0352300677240384, and quantile values: 0.25 -0.846419\n0.50 -0.035230\n0.75 0.690405\nName: 7657, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6297078514756921, std values: 1.074824207391185, min values: -2.1536471558383585, max values: 5.0, median values: 0.5127317988736544, and quantile values: 0.25 -0.086349\n0.50 0.512732\n0.75 1.363480\nName: 7658, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06089610323626978, std values: 0.8889472486963486, min values: -2.841647375415054, max values: 3.518664430018096, median values: -0.0944071184331404, and quantile values: 0.25 -0.563259\n0.50 -0.094407\n0.75 0.466943\nName: 7659, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03444113495718183, std values: 1.1150178193050295, min values: -2.769191083399913, max values: 3.569037956734876, median values: -0.065324932299904, and quantile values: 0.25 -0.673911\n0.50 -0.065325\n0.75 0.720015\nName: 7660, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.005259447259794107, std values: 0.8225303380285466, min values: -2.5201815750705507, max values: 4.0, median values: -0.0056486766064122, and quantile values: 0.25 -0.573195\n0.50 -0.005649\n0.75 0.529625\nName: 7661, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3810738252061097, std values: 0.8108841402938244, min values: -2.1475280888671984, max values: 3.0876051304901218, median values: -0.4341441750928978, and quantile values: 0.25 -0.966762\n0.50 -0.434144\n0.75 0.099999\nName: 7662, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4385587158939693, std values: 0.904544894416499, min values: -2.841647375415054, max values: 5.0, median values: -0.4022612767533345, and quantile values: 0.25 -1.018789\n0.50 -0.402261\n0.75 0.078209\nName: 7663, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12101937744882789, std values: 0.9506926978026049, min values: -2.673549169958716, max values: 6.0, median values: -0.0045715418911842, and quantile values: 0.25 -0.653146\n0.50 -0.004572\n0.75 0.496978\nName: 7664, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05088197986826155, std values: 0.8130102851858745, min values: -2.6635706018350787, max values: 3.319774799707247, median values: 0.0810542445684694, and quantile values: 0.25 -0.516674\n0.50 0.081054\n0.75 0.571248\nName: 7665, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08946362805996509, std values: 0.7955656266118493, min values: -2.011274058715068, max values: 6.0, median values: -0.0705839268068347, and quantile values: 0.25 -0.678194\n0.50 -0.070584\n0.75 0.497909\nName: 7666, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33339630858022967, std values: 0.8178741762067793, min values: -2.2065783767301927, max values: 6.0, median values: 0.3093380607640762, and quantile values: 0.25 -0.163538\n0.50 0.309338\n0.75 0.836332\nName: 7667, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.373629732918103, std values: 1.0810026863352742, min values: -2.9472833478224456, max values: 6.0, median values: -0.4186718877096843, and quantile values: 0.25 -1.209826\n0.50 -0.418672\n0.75 0.380013\nName: 7668, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8830909971978385, std values: 1.081232131828606, min values: -2.6603025395856053, max values: 5.0, median values: 1.0933334573594031, and quantile values: 0.25 0.252693\n0.50 1.093333\n0.75 1.689964\nName: 7669, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3394211391982274, std values: 0.7893475260713437, min values: -2.0681185926384043, max values: 3.0, median values: 0.4404115440302433, and quantile values: 0.25 -0.185769\n0.50 0.440412\n0.75 0.893571\nName: 7670, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1116601675050206, std values: 0.8420340130258727, min values: -2.0972650777209885, max values: 4.0, median values: 0.1208769581137038, and quantile values: 0.25 -0.470878\n0.50 0.120877\n0.75 0.677050\nName: 7671, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2294744966693745, std values: 0.9912528371572207, min values: -3.074005993202373, max values: 3.528773265847577, median values: -0.2706452354762129, and quantile values: 0.25 -1.050962\n0.50 -0.270645\n0.75 0.485905\nName: 7672, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5104447573415818, std values: 0.9513780450311725, min values: -2.525881048269423, max values: 3.0, median values: -0.6349694504859408, and quantile values: 0.25 -1.288405\n0.50 -0.634969\n0.75 0.148262\nName: 7673, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36525985750603945, std values: 1.0182153755405796, min values: -2.321103531050575, max values: 4.0, median values: 0.4532890946394926, and quantile values: 0.25 -0.367063\n0.50 0.453289\n0.75 1.179469\nName: 7674, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32195089863757687, std values: 0.8830009803417724, min values: -2.8164291268114208, max values: 3.071284484560209, median values: -0.3539732681790428, and quantile values: 0.25 -0.907547\n0.50 -0.353973\n0.75 0.237397\nName: 7675, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06607267469388986, std values: 0.9325958893170438, min values: -2.607565022042742, max values: 4.243835016543704, median values: 0.0539757114364372, and quantile values: 0.25 -0.477306\n0.50 0.053976\n0.75 0.700652\nName: 7676, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08222086896197171, std values: 1.111418138209385, min values: -2.982771139679002, max values: 4.0, median values: 0.2860987791686227, and quantile values: 0.25 -0.470695\n0.50 0.286099\n0.75 0.875155\nName: 7677, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25115066478025394, std values: 0.7591317745846778, min values: -2.0261424089339126, max values: 3.2936960268109283, median values: -0.3361381713263788, and quantile values: 0.25 -0.774161\n0.50 -0.336138\n0.75 0.190170\nName: 7678, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08604232097650777, std values: 0.9148948952316762, min values: -2.435319364056716, max values: 5.0, median values: 0.1235242964446299, and quantile values: 0.25 -0.522514\n0.50 0.123524\n0.75 0.632398\nName: 7679, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.597487513607086, std values: 0.8396135481952912, min values: -2.083555534231988, max values: 6.0, median values: -0.6798583513684885, and quantile values: 0.25 -1.259974\n0.50 -0.679858\n0.75 -0.058582\nName: 7680, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06672075340774071, std values: 0.7751632464937553, min values: -2.094811568530773, max values: 6.0, median values: -0.0615831530231727, and quantile values: 0.25 -0.603391\n0.50 -0.061583\n0.75 0.419213\nName: 7681, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3010966356401641, std values: 0.7707552904771998, min values: -2.264034258932616, max values: 3.5581019918925243, median values: -0.4033121727148392, and quantile values: 0.25 -0.841035\n0.50 -0.403312\n0.75 0.151994\nName: 7682, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11662816366225517, std values: 0.8441745681399835, min values: -2.0207160942359104, max values: 3.2266531185902125, median values: 0.0630276589609253, and quantile values: 0.25 -0.512974\n0.50 0.063028\n0.75 0.692536\nName: 7683, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05023461786037125, std values: 0.9024504535426081, min values: -2.134987510471223, max values: 3.760287110694155, median values: -0.0498894922021847, and quantile values: 0.25 -0.615058\n0.50 -0.049889\n0.75 0.654229\nName: 7684, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37245088117003533, std values: 1.3161537027543317, min values: -2.684072796644972, max values: 6.0, median values: -0.4130993304192851, and quantile values: 0.25 -1.428864\n0.50 -0.413099\n0.75 0.577339\nName: 7685, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.022139945804567372, std values: 0.9476871216271407, min values: -2.132840460960708, max values: 6.0, median values: 0.0381787608790197, and quantile values: 0.25 -0.709245\n0.50 0.038179\n0.75 0.790783\nName: 7686, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8255410117819971, std values: 1.139662312533506, min values: -2.693453432157769, max values: 3.784832159836258, median values: 1.079125575803921, and quantile values: 0.25 0.138023\n0.50 1.079126\n0.75 1.660120\nName: 7687, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.572965724709386, std values: 1.4703317451709799, min values: -2.73836943861057, max values: 3.528773265847577, median values: -0.3380894487491289, and quantile values: 0.25 -2.031656\n0.50 -0.338089\n0.75 0.743726\nName: 7688, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4632707100481522, std values: 0.7410051076557377, min values: -2.164983805198548, max values: 3.0, median values: -0.5058781237493669, and quantile values: 0.25 -1.000263\n0.50 -0.505878\n0.75 -0.043030\nName: 7689, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24375639442622127, std values: 0.7842062733609797, min values: -2.5825978442440407, max values: 6.0, median values: -0.3129193135628865, and quantile values: 0.25 -0.773842\n0.50 -0.312919\n0.75 0.189591\nName: 7690, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4434170006033732, std values: 0.7982766428713837, min values: -2.264034258932616, max values: 3.784832159836258, median values: 0.5214306657649271, and quantile values: 0.25 -0.073707\n0.50 0.521431\n0.75 0.993036\nName: 7691, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09559547451613211, std values: 0.8687502572411984, min values: -2.6652153608723106, max values: 3.528773265847577, median values: 0.1040104401071502, and quantile values: 0.25 -0.489483\n0.50 0.104010\n0.75 0.661653\nName: 7692, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26896468528126494, std values: 0.8413506999522794, min values: -2.6117120822772133, max values: 5.0, median values: 0.1688880427510159, and quantile values: 0.25 -0.274202\n0.50 0.168888\n0.75 0.815029\nName: 7693, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2335855230761848, std values: 1.0435595762334944, min values: -2.6466193392086392, max values: 4.0, median values: -0.2624007108212488, and quantile values: 0.25 -0.926759\n0.50 -0.262401\n0.75 0.481798\nName: 7694, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3715244484096905, std values: 0.9398389168824327, min values: -2.679056533720636, max values: 5.0, median values: 0.4598970067781668, and quantile values: 0.25 -0.212738\n0.50 0.459897\n0.75 1.078589\nName: 7695, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43437247662117795, std values: 0.8850654474891801, min values: -2.981718296512785, max values: 5.0, median values: 0.3809533679787306, and quantile values: 0.25 -0.149682\n0.50 0.380953\n0.75 0.955312\nName: 7696, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20991034727542024, std values: 0.834307545920317, min values: -2.3771558481240653, max values: 4.0, median values: 0.2423116025463502, and quantile values: 0.25 -0.370207\n0.50 0.242312\n0.75 0.822928\nName: 7697, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4984968881136787, std values: 0.9667962475811122, min values: -2.222049826555007, max values: 3.760287110694155, median values: 0.4917115017811433, and quantile values: 0.25 -0.202264\n0.50 0.491712\n0.75 1.232051\nName: 7698, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20349873969320345, std values: 0.9929560304223506, min values: -2.643887016977268, max values: 6.0, median values: 0.3813192369732883, and quantile values: 0.25 -0.447663\n0.50 0.381319\n0.75 0.888137\nName: 7699, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17499602824860105, std values: 0.9540653216688617, min values: -2.673124659932621, max values: 6.0, median values: -0.248316859936808, and quantile values: 0.25 -0.862710\n0.50 -0.248317\n0.75 0.472478\nName: 7700, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5319616227538754, std values: 1.0197840520234522, min values: -2.622709665346679, max values: 3.312693232344632, median values: -0.6193180173068288, and quantile values: 0.25 -1.390775\n0.50 -0.619318\n0.75 0.204407\nName: 7701, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.031679595779486355, std values: 0.9385127900764347, min values: -3.0687217584296813, max values: 3.260388056018088, median values: -0.0010740334157927, and quantile values: 0.25 -0.526636\n0.50 -0.001074\n0.75 0.581364\nName: 7702, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10401651366136808, std values: 0.9342766331693436, min values: -2.7016525309724218, max values: 3.438667023696733, median values: 0.0844518257650061, and quantile values: 0.25 -0.598126\n0.50 0.084452\n0.75 0.800800\nName: 7703, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3681064184382929, std values: 0.9387861745080411, min values: -2.867984306888309, max values: 3.025409039429847, median values: -0.4700780231672617, and quantile values: 0.25 -1.120160\n0.50 -0.470078\n0.75 0.233122\nName: 7704, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12247066023039883, std values: 0.8620456779096726, min values: -2.5689076212724418, max values: 5.0, median values: 0.0869425786566876, and quantile values: 0.25 -0.544532\n0.50 0.086943\n0.75 0.715184\nName: 7705, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2294012586791413, std values: 0.9243591823388998, min values: -2.15645541897611, max values: 5.0, median values: 0.2582360889737373, and quantile values: 0.25 -0.471093\n0.50 0.258236\n0.75 0.956659\nName: 7706, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1789813954555963, std values: 0.8135016067664635, min values: -2.1017566422541964, max values: 5.0, median values: 0.2339707447999816, and quantile values: 0.25 -0.377590\n0.50 0.233971\n0.75 0.729512\nName: 7707, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2820284601830298, std values: 0.7482076023900405, min values: -2.0600063421362025, max values: 5.0, median values: -0.3682011848583018, and quantile values: 0.25 -0.803617\n0.50 -0.368201\n0.75 0.144291\nName: 7708, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28579962685245935, std values: 0.9835975885001189, min values: -2.6820581866633817, max values: 3.32433157891547, median values: 0.365041500548143, and quantile values: 0.25 -0.351045\n0.50 0.365042\n0.75 0.999537\nName: 7709, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18115171564855903, std values: 0.9036781102554291, min values: -2.3893642989164, max values: 3.0932086550988465, median values: -0.2740545594850707, and quantile values: 0.25 -0.912380\n0.50 -0.274055\n0.75 0.431513\nName: 7710, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.342780270944537, std values: 1.0132868472547159, min values: -2.6404955031131814, max values: 5.0, median values: -0.4308783851135678, and quantile values: 0.25 -1.120057\n0.50 -0.430878\n0.75 0.336233\nName: 7711, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.062234463418750115, std values: 1.012425625417682, min values: -2.855306289371099, max values: 6.0, median values: 0.0757737666439581, and quantile values: 0.25 -0.602525\n0.50 0.075774\n0.75 0.695273\nName: 7712, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23289268375669162, std values: 0.8070829406491953, min values: -2.221075353514828, max values: 2.66439208037933, median values: -0.3495481148832654, and quantile values: 0.25 -0.825384\n0.50 -0.349548\n0.75 0.286493\nName: 7713, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26651191741646585, std values: 0.8466144081204589, min values: -2.623568901859613, max values: 4.0, median values: -0.261061261605379, and quantile values: 0.25 -0.824056\n0.50 -0.261061\n0.75 0.270647\nName: 7714, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2873297551595335, std values: 0.9874626173307322, min values: -2.9278427058120164, max values: 6.0, median values: -0.3749299145005545, and quantile values: 0.25 -0.878523\n0.50 -0.374930\n0.75 0.304516\nName: 7715, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20703746253484856, std values: 1.0924318568268507, min values: -2.873069976951463, max values: 3.721862465295849, median values: 0.4100639490147337, and quantile values: 0.25 -0.281060\n0.50 0.410064\n0.75 0.902627\nName: 7716, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11646592047836282, std values: 0.7693865728281372, min values: -2.419133598913117, max values: 3.0, median values: -0.1070795070411735, and quantile values: 0.25 -0.633727\n0.50 -0.107080\n0.75 0.332738\nName: 7717, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4601270478740464, std values: 1.0241377802809817, min values: -2.1547684225520003, max values: 5.0, median values: 0.443331715959861, and quantile values: 0.25 -0.267851\n0.50 0.443332\n0.75 1.141138\nName: 7718, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2696474041979287, std values: 0.7675285840463575, min values: -2.7884838087481176, max values: 6.0, median values: 0.2914211724671339, and quantile values: 0.25 -0.200977\n0.50 0.291421\n0.75 0.720361\nName: 7719, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12530936280878407, std values: 0.8992148040786414, min values: -2.778044916685896, max values: 3.0, median values: -0.1144826532829583, and quantile values: 0.25 -0.662183\n0.50 -0.114483\n0.75 0.434628\nName: 7720, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23788397773861608, std values: 0.82216710814882, min values: -2.5879430435308, max values: 3.0, median values: -0.3378642357876394, and quantile values: 0.25 -0.849891\n0.50 -0.337864\n0.75 0.329974\nName: 7721, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32707174867038064, std values: 0.95943406278835, min values: -2.6635706018350787, max values: 3.3636961113187773, median values: 0.3994951844828274, and quantile values: 0.25 -0.367672\n0.50 0.399495\n0.75 1.093852\nName: 7722, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0805548302053838, std values: 0.9754215185911548, min values: -2.933035609461076, max values: 5.0, median values: -0.0581131039573191, and quantile values: 0.25 -0.579731\n0.50 -0.058113\n0.75 0.528196\nName: 7723, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03571857934089501, std values: 1.2861536313516646, min values: -2.949186837165601, max values: 4.0, median values: 0.0579200040594617, and quantile values: 0.25 -0.792290\n0.50 0.057920\n0.75 0.863805\nName: 7724, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10839054845277385, std values: 1.1183553506126327, min values: -2.769191083399913, max values: 3.306454397423372, median values: 0.2072197070805557, and quantile values: 0.25 -0.599028\n0.50 0.207220\n0.75 0.965138\nName: 7725, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08277221470374466, std values: 0.8242199592341782, min values: -2.662750916816848, max values: 5.0, median values: 0.1034289953939933, and quantile values: 0.25 -0.514850\n0.50 0.103429\n0.75 0.720199\nName: 7726, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05735608422625544, std values: 1.0725653027965925, min values: -2.93129584560762, max values: 6.0, median values: 0.138418983312387, and quantile values: 0.25 -0.710401\n0.50 0.138419\n0.75 0.884448\nName: 7727, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19650480419662567, std values: 0.8868195802265871, min values: -2.0326274399583286, max values: 6.0, median values: 0.2635125260894222, and quantile values: 0.25 -0.428645\n0.50 0.263513\n0.75 0.834266\nName: 7728, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01834134090281172, std values: 1.0054338218993761, min values: -2.7510671817729784, max values: 6.0, median values: 0.0179290533069782, and quantile values: 0.25 -0.526867\n0.50 0.017929\n0.75 0.643348\nName: 7729, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11615730423041523, std values: 1.205317263946122, min values: -2.58513369695146, max values: 4.0, median values: 0.1254948029537281, and quantile values: 0.25 -0.623303\n0.50 0.125495\n0.75 0.864085\nName: 7730, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05729451136228171, std values: 0.9707452751439739, min values: -2.7211321814067784, max values: 3.1227871431249503, median values: 0.0938009128076131, and quantile values: 0.25 -0.608190\n0.50 0.093801\n0.75 0.607053\nName: 7731, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10050177204127822, std values: 0.8589459596868375, min values: -2.245752867605861, max values: 3.4217036547572275, median values: -0.1871702663003073, and quantile values: 0.25 -0.774098\n0.50 -0.187170\n0.75 0.486863\nName: 7732, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24796666585499522, std values: 0.7825806129224905, min values: -2.0118852280441426, max values: 3.247416277295021, median values: 0.2310564732753549, and quantile values: 0.25 -0.254865\n0.50 0.231056\n0.75 0.743653\nName: 7733, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27528619282100575, std values: 0.8020805696768566, min values: -2.537573835824454, max values: 6.0, median values: -0.3834821025845, and quantile values: 0.25 -0.822928\n0.50 -0.383482\n0.75 0.180383\nName: 7734, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28225420107113003, std values: 1.1152059893570694, min values: -2.982771139679002, max values: 4.0, median values: -0.1229246838745551, and quantile values: 0.25 -0.783187\n0.50 -0.122925\n0.75 0.418408\nName: 7735, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9166733736229153, std values: 0.8416239872487101, min values: -2.879968592907284, max values: 4.0, median values: -1.0295781297008009, and quantile values: 0.25 -1.522763\n0.50 -1.029578\n0.75 -0.425657\nName: 7736, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4926296533868586, std values: 0.7888936190574025, min values: -2.7211321814067784, max values: 3.569037956734876, median values: -0.5290542655102167, and quantile values: 0.25 -1.077913\n0.50 -0.529054\n0.75 -0.015918\nName: 7737, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3437583628110702, std values: 0.9012604382568794, min values: -2.739804196611005, max values: 6.0, median values: 0.4623941744115558, and quantile values: 0.25 -0.194310\n0.50 0.462394\n0.75 0.968433\nName: 7738, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.368164717862598, std values: 1.0788380602407497, min values: -2.5953860446419177, max values: 3.306454397423372, median values: 0.3680843077776407, and quantile values: 0.25 -0.402492\n0.50 0.368084\n0.75 1.232110\nName: 7739, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10461544624154734, std values: 0.8774386745044062, min values: -2.146424125626329, max values: 6.0, median values: -0.2388417417892017, and quantile values: 0.25 -0.700519\n0.50 -0.238842\n0.75 0.379632\nName: 7740, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09111499612918779, std values: 0.8813239503213584, min values: -2.4176069991382847, max values: 6.0, median values: -0.1868900141366363, and quantile values: 0.25 -0.770308\n0.50 -0.186890\n0.75 0.502301\nName: 7741, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11736445081582057, std values: 0.93266051974312, min values: -2.7211321814067784, max values: 3.0, median values: -0.0751152053557421, and quantile values: 0.25 -0.735601\n0.50 -0.075115\n0.75 0.528956\nName: 7742, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1998277139310455, std values: 0.8420227624962026, min values: -2.2837882496430213, max values: 4.0, median values: 0.2583552910698137, and quantile values: 0.25 -0.400314\n0.50 0.258355\n0.75 0.800306\nName: 7743, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10754419435937923, std values: 1.048783977828084, min values: -2.8246479422601736, max values: 6.0, median values: 0.2751064530760259, and quantile values: 0.25 -0.493336\n0.50 0.275106\n0.75 0.862007\nName: 7744, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0896822743299112, std values: 0.7591618429834939, min values: -2.9278427058120164, max values: 6.0, median values: 0.1295761422300204, and quantile values: 0.25 -0.428438\n0.50 0.129576\n0.75 0.570456\nName: 7745, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2567041548539026, std values: 0.8888537953971954, min values: -2.558791007225312, max values: 3.0, median values: -0.2210269961442648, and quantile values: 0.25 -0.772950\n0.50 -0.221027\n0.75 0.308183\nName: 7746, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3991534170718561, std values: 0.9664468046699729, min values: -2.6652153608723106, max values: 4.243835016543704, median values: 0.4091386533916053, and quantile values: 0.25 -0.326102\n0.50 0.409139\n0.75 1.088024\nName: 7747, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21967677699403307, std values: 0.7846753532594141, min values: -2.013555225015544, max values: 3.02009942896863, median values: 0.2921363467495255, and quantile values: 0.25 -0.306018\n0.50 0.292136\n0.75 0.734678\nName: 7748, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.011866623718886244, std values: 0.9266040974419706, min values: -2.047302085077502, max values: 6.0, median values: -0.1264498891267429, and quantile values: 0.25 -0.671692\n0.50 -0.126450\n0.75 0.608787\nName: 7749, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39213809768247193, std values: 0.9095803975084313, min values: -2.17163053292588, max values: 3.5581019918925243, median values: 0.4460374360153144, and quantile values: 0.25 -0.230378\n0.50 0.446037\n0.75 1.002249\nName: 7750, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2676983121413496, std values: 0.9310702904180759, min values: -2.58513369695146, max values: 4.0, median values: -0.3265156135049736, and quantile values: 0.25 -0.945958\n0.50 -0.326516\n0.75 0.382475\nName: 7751, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1892600022781052, std values: 0.9269007818346278, min values: -1.9452336065437976, max values: 5.0, median values: 0.0981975423298927, and quantile values: 0.25 -0.507913\n0.50 0.098198\n0.75 0.831380\nName: 7752, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42377365952157164, std values: 0.9917067526858137, min values: -2.6800544037614658, max values: 4.0, median values: -0.4838712324033764, and quantile values: 0.25 -0.999519\n0.50 -0.483871\n0.75 0.180084\nName: 7753, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22670961353592903, std values: 1.0201715943722565, min values: -2.801183634509044, max values: 5.0, median values: -0.0803491490001871, and quantile values: 0.25 -0.916018\n0.50 -0.080349\n0.75 0.513028\nName: 7754, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41422418719354087, std values: 0.8845604688828902, min values: -2.673124659932621, max values: 6.0, median values: -0.3741513865846528, and quantile values: 0.25 -0.956965\n0.50 -0.374151\n0.75 0.113167\nName: 7755, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2411002138933698, std values: 1.0225784076249946, min values: -2.6072570508709387, max values: 4.0, median values: 0.3111327414218096, and quantile values: 0.25 -0.416689\n0.50 0.311133\n0.75 0.985521\nName: 7756, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3365948826720382, std values: 0.9732251826789119, min values: -2.6652153608723106, max values: 5.0, median values: 0.4184915232928878, and quantile values: 0.25 -0.279170\n0.50 0.418492\n0.75 1.006734\nName: 7757, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.026016337417714728, std values: 0.7659423647321975, min values: -2.349293916724472, max values: 3.124705982383484, median values: -0.0999410543569945, and quantile values: 0.25 -0.526013\n0.50 -0.099941\n0.75 0.380905\nName: 7758, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07840205209002073, std values: 0.823797678929741, min values: -2.7884838087481176, max values: 6.0, median values: -0.1108359929759369, and quantile values: 0.25 -0.610524\n0.50 -0.110836\n0.75 0.400373\nName: 7759, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20932767105415284, std values: 1.0605838996671413, min values: -2.64479559868397, max values: 6.0, median values: 0.3187326102212903, and quantile values: 0.25 -0.547385\n0.50 0.318733\n0.75 1.023329\nName: 7760, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11092969768131207, std values: 0.7663762701872256, min values: -2.5013836759277064, max values: 4.0, median values: -0.0819615966904111, and quantile values: 0.25 -0.625301\n0.50 -0.081962\n0.75 0.386525\nName: 7761, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11187225867083211, std values: 0.8341404665895809, min values: -2.008424150398618, max values: 5.0, median values: 0.0035215484440183, and quantile values: 0.25 -0.504125\n0.50 0.003522\n0.75 0.669175\nName: 7762, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.038483592250043025, std values: 1.0936769997018787, min values: -2.607565022042742, max values: 4.0, median values: 0.1549033068535996, and quantile values: 0.25 -0.625034\n0.50 0.154903\n0.75 0.707993\nName: 7763, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23227713286050106, std values: 0.8322991417205724, min values: -2.240449455594164, max values: 3.155170554159904, median values: -0.3423467084655563, and quantile values: 0.25 -0.830112\n0.50 -0.342347\n0.75 0.300187\nName: 7764, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.053464517402395904, std values: 0.9369982682843009, min values: -2.841647375415054, max values: 5.0, median values: 0.0047367795593408, and quantile values: 0.25 -0.626474\n0.50 0.004737\n0.75 0.508989\nName: 7765, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16746088395535047, std values: 1.0791119998629857, min values: -3.045947208515832, max values: 6.0, median values: -0.2240241631123326, and quantile values: 0.25 -0.767245\n0.50 -0.224024\n0.75 0.484735\nName: 7766, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09365250391308487, std values: 0.8992962378832684, min values: -2.58513369695146, max values: 4.0, median values: 0.109979949104456, and quantile values: 0.25 -0.441115\n0.50 0.109980\n0.75 0.634651\nName: 7767, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02182408364957687, std values: 0.9325341899910353, min values: -2.0353567906974, max values: 3.867701659180865, median values: -0.0800872349212465, and quantile values: 0.25 -0.687469\n0.50 -0.080087\n0.75 0.666898\nName: 7768, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4010119895956407, std values: 0.7363241802936887, min values: -2.101255482180127, max values: 3.082096909284949, median values: -0.4254756040159924, and quantile values: 0.25 -0.945071\n0.50 -0.425476\n0.75 0.053645\nName: 7769, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24874790038294411, std values: 0.9450587095666158, min values: -3.307038206418975, max values: 4.278004674434932, median values: -0.2629795624642808, and quantile values: 0.25 -0.871147\n0.50 -0.262980\n0.75 0.332514\nName: 7770, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11802446232648606, std values: 0.7909380685383892, min values: -2.981718296512785, max values: 5.0, median values: 0.0517353652065354, and quantile values: 0.25 -0.415157\n0.50 0.051735\n0.75 0.647286\nName: 7771, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5594217328848649, std values: 1.0757562986880758, min values: -2.9029979285382743, max values: 3.247416277295021, median values: -0.4771330047465582, and quantile values: 0.25 -1.183177\n0.50 -0.477133\n0.75 0.091005\nName: 7772, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13413081939936822, std values: 0.8923742948319526, min values: -2.2262971094910258, max values: 3.3760121766849016, median values: 0.0948692084358022, and quantile values: 0.25 -0.546683\n0.50 0.094869\n0.75 0.783958\nName: 7773, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07782671421870262, std values: 0.7877401635599706, min values: -1.908912761320239, max values: 4.0, median values: 0.0903356176226961, and quantile values: 0.25 -0.443617\n0.50 0.090336\n0.75 0.527831\nName: 7774, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.408142619495991, std values: 0.8206905234812129, min values: -2.9898739724800576, max values: 3.630507857092792, median values: 0.4967052300333428, and quantile values: 0.25 -0.160274\n0.50 0.496705\n0.75 0.999363\nName: 7775, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2277770413840823, std values: 0.7776366942662616, min values: -2.446475285346346, max values: 2.868071971944487, median values: 0.2777618283500812, and quantile values: 0.25 -0.287713\n0.50 0.277762\n0.75 0.744334\nName: 7776, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4508142043949646, std values: 0.9754793952801541, min values: -2.1052796288777285, max values: 6.0, median values: -0.5924181075904084, and quantile values: 0.25 -1.278054\n0.50 -0.592418\n0.75 0.228146\nName: 7777, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12801279885348957, std values: 0.8741802065892388, min values: -2.134449825097116, max values: 3.496479817235339, median values: 0.1872823712808381, and quantile values: 0.25 -0.459687\n0.50 0.187282\n0.75 0.645861\nName: 7778, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0765518217011772, std values: 1.3599125214555174, min values: -2.727901130262228, max values: 4.278004674434932, median values: 0.183338502598537, and quantile values: 0.25 -0.698682\n0.50 0.183339\n0.75 0.845198\nName: 7779, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.017421069676207098, std values: 0.7897235061729392, min values: -2.5689076212724418, max values: 5.0, median values: -0.0039932110059777, and quantile values: 0.25 -0.590175\n0.50 -0.003993\n0.75 0.575330\nName: 7780, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0674399165281113, std values: 0.7087484452911489, min values: -2.035433106585047, max values: 5.0, median values: 0.0901479659416107, and quantile values: 0.25 -0.367966\n0.50 0.090148\n0.75 0.501819\nName: 7781, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12423117430040172, std values: 0.81351199552366, min values: -2.783691185534105, max values: 2.846763811801109, median values: -0.0939908241716294, and quantile values: 0.25 -0.738615\n0.50 -0.093991\n0.75 0.462035\nName: 7782, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.156661168877205, std values: 0.8146365109263327, min values: -2.10832026762241, max values: 4.0, median values: -0.1683606385461787, and quantile values: 0.25 -0.748049\n0.50 -0.168361\n0.75 0.350352\nName: 7783, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4313121321046824, std values: 0.9987785244411155, min values: -2.39180940730784, max values: 4.0, median values: -0.5117077920704853, and quantile values: 0.25 -1.251279\n0.50 -0.511708\n0.75 0.272803\nName: 7784, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02523503410788581, std values: 0.7801527007243197, min values: -2.419133598913117, max values: 3.0, median values: 0.0918348329542223, and quantile values: 0.25 -0.532946\n0.50 0.091835\n0.75 0.597815\nName: 7785, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26333645318726573, std values: 0.9853447589597377, min values: -2.783691185534105, max values: 3.569037956734876, median values: 0.2712091500065146, and quantile values: 0.25 -0.486009\n0.50 0.271209\n0.75 1.047402\nName: 7786, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02371193204111627, std values: 0.9443993028211612, min values: -2.1414883906350908, max values: 6.0, median values: -0.0859457304429292, and quantile values: 0.25 -0.744888\n0.50 -0.085946\n0.75 0.620206\nName: 7787, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5932551174778237, std values: 1.005604935508158, min values: -2.6652153608723106, max values: 5.0, median values: -0.6500392224525422, and quantile values: 0.25 -1.425585\n0.50 -0.650039\n0.75 0.117925\nName: 7788, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22261918552320825, std values: 0.9501821360151878, min values: -2.4902145713898545, max values: 3.379902545505621, median values: 0.2076980593837066, and quantile values: 0.25 -0.460501\n0.50 0.207698\n0.75 0.890222\nName: 7789, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09360635160526319, std values: 0.7884668800999203, min values: -2.572123985342288, max values: 4.0, median values: 0.1022108434215527, and quantile values: 0.25 -0.420326\n0.50 0.102211\n0.75 0.587420\nName: 7790, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06783482572645745, std values: 0.8016587276988457, min values: -2.537573835824454, max values: 6.0, median values: -0.1527030614469054, and quantile values: 0.25 -0.607585\n0.50 -0.152703\n0.75 0.421981\nName: 7791, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1709889563789352, std values: 0.7818357250226157, min values: -2.0792309011718992, max values: 6.0, median values: -0.2193058853671223, and quantile values: 0.25 -0.734209\n0.50 -0.219306\n0.75 0.308603\nName: 7792, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26995036707643877, std values: 0.8297417629330823, min values: -2.8843374390620142, max values: 6.0, median values: -0.3967060107615078, and quantile values: 0.25 -0.845040\n0.50 -0.396706\n0.75 0.197225\nName: 7793, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4394723825919855, std values: 1.0394861919554224, min values: -2.120068558723452, max values: 6.0, median values: 0.5247481288863035, and quantile values: 0.25 -0.343702\n0.50 0.524748\n0.75 1.245516\nName: 7794, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09067110654904734, std values: 0.8108649208678202, min values: -1.952221711999452, max values: 5.0, median values: -0.1389916942555066, and quantile values: 0.25 -0.644030\n0.50 -0.138992\n0.75 0.384668\nName: 7795, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8076426423949832, std values: 1.533296097529532, min values: -3.101800431129944, max values: 6.0, median values: -1.2817020125242853, and quantile values: 0.25 -2.118506\n0.50 -1.281702\n0.75 0.651158\nName: 7796, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5180101871799577, std values: 0.9210041360511222, min values: -2.6685266729136536, max values: 6.0, median values: -0.617343694321268, and quantile values: 0.25 -1.157998\n0.50 -0.617344\n0.75 0.083735\nName: 7797, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09547037543437735, std values: 1.171214362826662, min values: -2.6820581866633817, max values: 3.0418703198091483, median values: 0.2952702551058958, and quantile values: 0.25 -0.593779\n0.50 0.295270\n0.75 0.882214\nName: 7798, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15878624367084876, std values: 0.8328176906578083, min values: -2.9278427058120164, max values: 6.0, median values: -0.1699190140383914, and quantile values: 0.25 -0.793497\n0.50 -0.169919\n0.75 0.489420\nName: 7799, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18883917139430081, std values: 0.9319616820253513, min values: -2.1227739687253626, max values: 3.066111439712683, median values: -0.1948396384955839, and quantile values: 0.25 -0.929741\n0.50 -0.194840\n0.75 0.480487\nName: 7800, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25755594483521266, std values: 0.8528076128185269, min values: -2.960014365184806, max values: 6.0, median values: -0.3261670673922535, and quantile values: 0.25 -0.869940\n0.50 -0.326167\n0.75 0.247328\nName: 7801, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19360018536087287, std values: 1.002801870450951, min values: -2.6635706018350787, max values: 3.247416277295021, median values: -0.0670257605680181, and quantile values: 0.25 -0.812773\n0.50 -0.067026\n0.75 0.541860\nName: 7802, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21477509437623568, std values: 0.8413582027942739, min values: -2.1775880058603043, max values: 2.862340682373088, median values: -0.3162499614640772, and quantile values: 0.25 -0.833719\n0.50 -0.316250\n0.75 0.352212\nName: 7803, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5019960052579698, std values: 0.9655581172411813, min values: -2.842989614395848, max values: 5.0, median values: -0.4587939103032735, and quantile values: 0.25 -1.119400\n0.50 -0.458794\n0.75 0.073143\nName: 7804, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4690222340618848, std values: 0.9701086517573085, min values: -2.167861924624162, max values: 3.627976272701048, median values: 0.5182486824190659, and quantile values: 0.25 -0.230208\n0.50 0.518249\n0.75 1.145792\nName: 7805, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06338575255901563, std values: 0.763563336397841, min values: -2.066806605942469, max values: 3.1888787873512885, median values: 0.0274194605738315, and quantile values: 0.25 -0.432662\n0.50 0.027419\n0.75 0.542340\nName: 7806, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1867597085354144, std values: 1.0004852293399944, min values: -2.9472833478224456, max values: 6.0, median values: -0.2707044868174715, and quantile values: 0.25 -0.861545\n0.50 -0.270704\n0.75 0.512139\nName: 7807, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1695383320174344, std values: 0.8210859185835627, min values: -3.0390690173369013, max values: 2.9078251235230463, median values: -0.1010482034874476, and quantile values: 0.25 -0.722290\n0.50 -0.101048\n0.75 0.390903\nName: 7808, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1456080143327132, std values: 0.8006711852323407, min values: -1.9360016274207128, max values: 3.066111439712683, median values: 0.0570846819021077, and quantile values: 0.25 -0.424064\n0.50 0.057085\n0.75 0.686048\nName: 7809, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1651662575966891, std values: 0.7777553911243444, min values: -1.9555654179151416, max values: 6.0, median values: 0.1519857504388566, and quantile values: 0.25 -0.312633\n0.50 0.151986\n0.75 0.638994\nName: 7810, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.9109221832473777, std values: 1.1248170093439391, min values: -2.64479559868397, max values: 6.0, median values: 1.0329527390105386, and quantile values: 0.25 0.260833\n0.50 1.032953\n0.75 1.610017\nName: 7811, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3901141825629801, std values: 0.950068678459144, min values: -2.947062251106049, max values: 3.496479817235339, median values: 0.3999047825948686, and quantile values: 0.25 -0.146011\n0.50 0.399905\n0.75 1.035021\nName: 7812, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37711831554537056, std values: 0.871667793986453, min values: -2.8680719719444903, max values: 3.026950214607353, median values: -0.3968549844710658, and quantile values: 0.25 -1.105429\n0.50 -0.396855\n0.75 0.265366\nName: 7813, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07376663461972896, std values: 0.8661703164142343, min values: -2.1713395431384868, max values: 5.0, median values: -0.0037728948400917, and quantile values: 0.25 -0.704512\n0.50 -0.003773\n0.75 0.541669\nName: 7814, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3261559697768321, std values: 1.0563086729709201, min values: -2.64479559868397, max values: 6.0, median values: -0.3578005744153705, and quantile values: 0.25 -1.141138\n0.50 -0.357801\n0.75 0.440698\nName: 7815, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3755199032137263, std values: 0.8484537877770452, min values: -2.5046447434119337, max values: 4.0, median values: 0.4577799733170654, and quantile values: 0.25 -0.176517\n0.50 0.457780\n0.75 0.930032\nName: 7816, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28638713328733195, std values: 0.8415925859835697, min values: -2.475778245535816, max values: 4.0, median values: -0.3946213012349627, and quantile values: 0.25 -0.931527\n0.50 -0.394621\n0.75 0.282703\nName: 7817, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13253884491646956, std values: 0.8242583406269851, min values: -1.930469662822046, max values: 6.0, median values: 0.0324795187767974, and quantile values: 0.25 -0.433443\n0.50 0.032480\n0.75 0.639698\nName: 7818, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45403568186726995, std values: 0.940633861241616, min values: -2.119118875804272, max values: 5.0, median values: 0.5700391935363318, and quantile values: 0.25 -0.254817\n0.50 0.570039\n0.75 1.203848\nName: 7819, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4715194264689906, std values: 0.863584730319623, min values: -2.58513369695146, max values: 3.096891534584617, median values: 0.4636569975853809, and quantile values: 0.25 -0.082033\n0.50 0.463657\n0.75 0.992482\nName: 7820, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.016704412493752912, std values: 0.8322801559645422, min values: -2.1592318255316534, max values: 2.7551322028804446, median values: -0.063300049489907, and quantile values: 0.25 -0.638888\n0.50 -0.063300\n0.75 0.584494\nName: 7821, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08956190498103686, std values: 0.8830585082444676, min values: -2.5122218748354936, max values: 3.379902545505621, median values: -0.0116520743649048, and quantile values: 0.25 -0.660418\n0.50 -0.011652\n0.75 0.513541\nName: 7822, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49338386742065987, std values: 1.0727814707172536, min values: -2.73836943861057, max values: 3.2936960268109283, median values: 0.5554336078334189, and quantile values: 0.25 -0.331166\n0.50 0.555434\n0.75 1.414939\nName: 7823, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.029500106442096184, std values: 0.995071533443465, min values: -3.3126932323446474, max values: 4.278004674434932, median values: 0.0442149997077217, and quantile values: 0.25 -0.770428\n0.50 0.044215\n0.75 0.678426\nName: 7824, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17720065184630993, std values: 1.4140864016150545, min values: -2.982771139679002, max values: 4.0, median values: 0.0898847351975367, and quantile values: 0.25 -1.253995\n0.50 0.089885\n0.75 0.903480\nName: 7825, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10890837496197002, std values: 1.174026012668911, min values: -2.769191083399913, max values: 3.076680642207697, median values: 0.0851994415565678, and quantile values: 0.25 -0.692566\n0.50 0.085199\n0.75 0.642472\nName: 7826, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5171664181983104, std values: 0.7842074837183435, min values: -2.537573835824454, max values: 6.0, median values: 0.5888443052499043, and quantile values: 0.25 0.018783\n0.50 0.588844\n0.75 1.053722\nName: 7827, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13942942104128292, std values: 1.0465470215755985, min values: -2.5631847770497496, max values: 4.0, median values: 0.183338502598537, and quantile values: 0.25 -0.557942\n0.50 0.183339\n0.75 0.851038\nName: 7828, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3371805631790911, std values: 0.7748858376851562, min values: -2.196181211030292, max values: 5.0, median values: 0.309106957330815, and quantile values: 0.25 -0.153137\n0.50 0.309107\n0.75 0.819881\nName: 7829, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5995412332583465, std values: 1.0687073669106064, min values: -2.887007053971579, max values: 3.405671179043623, median values: -0.6910394334176354, and quantile values: 0.25 -1.295193\n0.50 -0.691039\n0.75 0.048571\nName: 7830, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15249795223045037, std values: 0.7690582971063172, min values: -2.4737574649270093, max values: 3.3014869995452325, median values: 0.178245423360437, and quantile values: 0.25 -0.341019\n0.50 0.178245\n0.75 0.631359\nName: 7831, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09528950019817901, std values: 0.9307852675533951, min values: -2.697026421440041, max values: 4.0, median values: 0.2538590104455046, and quantile values: 0.25 -0.332015\n0.50 0.253859\n0.75 0.671934\nName: 7832, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3973034470290487, std values: 0.8262629539470863, min values: -2.6117120822772133, max values: 5.0, median values: 0.3437755288921781, and quantile values: 0.25 -0.128826\n0.50 0.343776\n0.75 0.885566\nName: 7833, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.012113820191570247, std values: 0.8333562413405886, min values: -2.0801885729223746, max values: 4.0, median values: -0.0321248162025608, and quantile values: 0.25 -0.579574\n0.50 -0.032125\n0.75 0.522270\nName: 7834, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.48584512343979497, std values: 0.8713571038497072, min values: -2.7016525309724218, max values: 3.216771431244405, median values: -0.5883189312192326, and quantile values: 0.25 -1.117894\n0.50 -0.588319\n0.75 0.060115\nName: 7835, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35876606289491797, std values: 0.7833375873014642, min values: -2.0384258727554823, max values: 3.2936960268109283, median values: 0.3259928091964917, and quantile values: 0.25 -0.150647\n0.50 0.325993\n0.75 0.897120\nName: 7836, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4136679107263314, std values: 0.8866335074082581, min values: -2.7257183488872623, max values: 5.0, median values: -0.4280233182531652, and quantile values: 0.25 -0.964436\n0.50 -0.428023\n0.75 0.112376\nName: 7837, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8512813611648886, std values: 0.948024145465849, min values: -2.3893642989164, max values: 3.9048392686725855, median values: 0.9461379599103537, and quantile values: 0.25 0.191059\n0.50 0.946138\n0.75 1.606056\nName: 7838, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26769688837657324, std values: 0.796596930830056, min values: -2.117042895443173, max values: 4.0, median values: -0.3350383824897318, and quantile values: 0.25 -0.825445\n0.50 -0.335038\n0.75 0.207767\nName: 7839, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1858237172057771, std values: 0.7830759959149591, min values: -2.556631690482005, max values: 3.163266084685921, median values: 0.2380200749110906, and quantile values: 0.25 -0.350252\n0.50 0.238020\n0.75 0.730320\nName: 7840, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.022409463974082895, std values: 0.7622531624832205, min values: -2.5689076212724418, max values: 5.0, median values: 0.0230799932449533, and quantile values: 0.25 -0.508102\n0.50 0.023080\n0.75 0.521810\nName: 7841, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3391072137332732, std values: 0.9044187739164203, min values: -2.1775880058603043, max values: 3.17157439250477, median values: -0.5049393908705995, and quantile values: 0.25 -1.009029\n0.50 -0.504939\n0.75 0.246281\nName: 7842, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12429564721475907, std values: 1.113216512357008, min values: -2.6820581866633817, max values: 3.670892362631932, median values: -0.1749086091491286, and quantile values: 0.25 -1.001991\n0.50 -0.174909\n0.75 0.589387\nName: 7843, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4186306942693595, std values: 0.98899117856026, min values: -2.087432639025188, max values: 4.0, median values: 0.3924193285057484, and quantile values: 0.25 -0.345164\n0.50 0.392419\n0.75 1.260611\nName: 7844, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3988118506300815, std values: 1.3976494870332938, min values: -3.236860296211546, max values: 3.336438412828754, median values: 0.4024662947059602, and quantile values: 0.25 -0.581392\n0.50 0.402466\n0.75 1.554055\nName: 7845, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22960186966386797, std values: 0.8918099533821902, min values: -2.264034258932616, max values: 3.1047159712539405, median values: -0.3227386094691934, and quantile values: 0.25 -0.938753\n0.50 -0.322739\n0.75 0.397809\nName: 7846, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06889905798308277, std values: 0.8191331613943996, min values: -2.06202912357012, max values: 5.0, median values: 0.1221646495539033, and quantile values: 0.25 -0.495514\n0.50 0.122165\n0.75 0.616829\nName: 7847, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36222458784694017, std values: 0.8744314191734285, min values: -2.1217267615601973, max values: 3.867701659180865, median values: 0.303922054661101, and quantile values: 0.25 -0.192985\n0.50 0.303922\n0.75 0.880053\nName: 7848, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.354553691967101, std values: 1.006626497839531, min values: -2.5381241125563245, max values: 5.0, median values: -0.4300445284476363, and quantile values: 0.25 -1.206226\n0.50 -0.430045\n0.75 0.388945\nName: 7849, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05529647932863714, std values: 0.948540466739282, min values: -2.7314147016889114, max values: 3.1888787873512885, median values: 0.0686267191872803, and quantile values: 0.25 -0.675959\n0.50 0.068627\n0.75 0.825816\nName: 7850, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2701989621511664, std values: 0.7892471780854713, min values: -2.299460330888208, max values: 4.0, median values: 0.2118363950100188, and quantile values: 0.25 -0.250766\n0.50 0.211836\n0.75 0.786311\nName: 7851, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36889252737968287, std values: 1.0396178378225052, min values: -2.0918322237798, max values: 6.0, median values: 0.368850624259051, and quantile values: 0.25 -0.410509\n0.50 0.368851\n0.75 1.095941\nName: 7852, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3578888249235129, std values: 0.85933898106957, min values: -2.788272971802125, max values: 6.0, median values: -0.4034484837022104, and quantile values: 0.25 -0.884867\n0.50 -0.403448\n0.75 0.154736\nName: 7853, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06092073429485941, std values: 0.8063788701483457, min values: -2.5961021427111413, max values: 3.0, median values: 0.0694272642058766, and quantile values: 0.25 -0.419698\n0.50 0.069427\n0.75 0.554791\nName: 7854, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6346405750687925, std values: 1.0276448688335478, min values: -2.6769353566628333, max values: 3.630507857092792, median values: 0.7009720673864647, and quantile values: 0.25 -0.123615\n0.50 0.700972\n0.75 1.480941\nName: 7855, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4326954334322097, std values: 1.2521475984713644, min values: -2.9265160609644223, max values: 6.0, median values: -0.3775755743502629, and quantile values: 0.25 -1.128658\n0.50 -0.377576\n0.75 0.438667\nName: 7856, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2684791313289506, std values: 1.3393052691405953, min values: -2.6466193392086392, max values: 4.0, median values: -0.0141005955349789, and quantile values: 0.25 -1.736060\n0.50 -0.014101\n0.75 0.860175\nName: 7857, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1763128479389181, std values: 0.9562944033575698, min values: -2.299460330888208, max values: 4.0, median values: -0.2320748292886875, and quantile values: 0.25 -0.956182\n0.50 -0.232075\n0.75 0.482769\nName: 7858, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0401764058289993, std values: 1.1331258885956375, min values: -2.928515832252388, max values: 5.0, median values: -0.1182109108277131, and quantile values: 0.25 -0.766950\n0.50 -0.118211\n0.75 0.682687\nName: 7859, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16810300746375142, std values: 1.0480779530695203, min values: -2.8563982925340614, max values: 4.0, median values: -0.1579868635558418, and quantile values: 0.25 -0.836687\n0.50 -0.157987\n0.75 0.517590\nName: 7860, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19361154375747394, std values: 0.8464336020751554, min values: -1.9710813794001707, max values: 6.0, median values: 0.2340446567195147, and quantile values: 0.25 -0.376910\n0.50 0.234045\n0.75 0.720575\nName: 7861, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03529041283062073, std values: 0.8817509241145208, min values: -1.989074010495094, max values: 3.5908526919299577, median values: 0.0172304062979042, and quantile values: 0.25 -0.700230\n0.50 0.017230\n0.75 0.662712\nName: 7862, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6720158566053469, std values: 0.9612939310726492, min values: -2.7542003929097176, max values: 5.0, median values: -0.8124944873697449, and quantile values: 0.25 -1.389367\n0.50 -0.812494\n0.75 -0.053913\nName: 7863, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5686279691337405, std values: 1.0278330727332312, min values: -2.622709665346679, max values: 3.349054967837474, median values: 0.7009116356371258, and quantile values: 0.25 -0.056955\n0.50 0.700912\n0.75 1.360777\nName: 7864, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23050614020113486, std values: 0.9955486650559792, min values: -2.305899686020907, max values: 4.0, median values: 0.3020949883131426, and quantile values: 0.25 -0.510173\n0.50 0.302095\n0.75 1.032184\nName: 7865, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08626654272046828, std values: 0.8214070322742822, min values: -2.5953860446419177, max values: 5.0, median values: -0.0928751432246659, and quantile values: 0.25 -0.583612\n0.50 -0.092875\n0.75 0.419875\nName: 7866, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26827088090466794, std values: 0.8933041650215354, min values: -2.105967784650795, max values: 4.0, median values: 0.3432350139093346, and quantile values: 0.25 -0.379581\n0.50 0.343235\n0.75 0.946032\nName: 7867, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6336145557123214, std values: 0.9558284389299952, min values: -2.5743883495350026, max values: 5.0, median values: -0.7808762924263409, and quantile values: 0.25 -1.368573\n0.50 -0.780876\n0.75 -0.026496\nName: 7868, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39752261246082116, std values: 0.8237331114359355, min values: -2.374446373878101, max values: 4.0, median values: 0.4984430069920061, and quantile values: 0.25 -0.217824\n0.50 0.498443\n0.75 1.021016\nName: 7869, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26420401655107634, std values: 0.864067039978279, min values: -2.6404955031131814, max values: 5.0, median values: -0.3197840244162064, and quantile values: 0.25 -0.785486\n0.50 -0.319784\n0.75 0.250278\nName: 7870, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07654173603211785, std values: 0.8777580029726807, min values: -2.5774281843044924, max values: 4.0, median values: -0.0150094891663225, and quantile values: 0.25 -0.711500\n0.50 -0.015009\n0.75 0.544893\nName: 7871, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38714653422213435, std values: 0.9539819861431281, min values: -2.087432639025188, max values: 4.0, median values: 0.4140168200548105, and quantile values: 0.25 -0.293148\n0.50 0.414017\n0.75 1.068789\nName: 7872, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17916156306889275, std values: 0.878044625802481, min values: -2.082591134335169, max values: 3.191712471143802, median values: -0.3128644440399137, and quantile values: 0.25 -0.851592\n0.50 -0.312864\n0.75 0.396557\nName: 7873, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15975877250787554, std values: 0.9992367466987209, min values: -2.2915911556076085, max values: 3.071284484560209, median values: -0.1672795719154579, and quantile values: 0.25 -0.944517\n0.50 -0.167280\n0.75 0.573876\nName: 7874, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2280643118336725, std values: 0.9229569525006869, min values: -2.769191083399913, max values: 4.278004674434932, median values: -0.2305239397705266, and quantile values: 0.25 -0.730221\n0.50 -0.230524\n0.75 0.350981\nName: 7875, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12931320154490464, std values: 0.8265505313755627, min values: -2.105967784650795, max values: 4.0, median values: -0.239550204729857, and quantile values: 0.25 -0.733620\n0.50 -0.239550\n0.75 0.388155\nName: 7876, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2412833198469188, std values: 0.9874370746009025, min values: -2.887007053971579, max values: 4.026668017837955, median values: -0.2504000398111703, and quantile values: 0.25 -0.791144\n0.50 -0.250400\n0.75 0.355055\nName: 7877, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28236842325597467, std values: 0.7804571952041554, min values: -2.0787527795044047, max values: 2.770143263071587, median values: 0.3480587149087741, and quantile values: 0.25 -0.193082\n0.50 0.348059\n0.75 0.770690\nName: 7878, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3286051827134286, std values: 0.8278674201013875, min values: -2.841647375415054, max values: 5.0, median values: 0.4167571332834603, and quantile values: 0.25 -0.235896\n0.50 0.416757\n0.75 0.923134\nName: 7879, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1206950863191556, std values: 0.8349280982411452, min values: -2.011274058715068, max values: 5.0, median values: 0.0851165235058301, and quantile values: 0.25 -0.441975\n0.50 0.085117\n0.75 0.687024\nName: 7880, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0533136411160409, std values: 1.3152949856770044, min values: -2.981718296512785, max values: 5.0, median values: 0.3762006350252902, and quantile values: 0.25 -0.627614\n0.50 0.376201\n0.75 0.942672\nName: 7881, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18583914022095893, std values: 0.9427675510059611, min values: -2.622709665346679, max values: 3.103622965243153, median values: 0.1592581868616002, and quantile values: 0.25 -0.400161\n0.50 0.159258\n0.75 0.840484\nName: 7882, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2997742514345467, std values: 0.9617269556497945, min values: -2.7428415536925543, max values: 5.0, median values: -0.3363494832143679, and quantile values: 0.25 -0.950585\n0.50 -0.336349\n0.75 0.320001\nName: 7883, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16959119677966517, std values: 1.146609695298927, min values: -2.869671295224012, max values: 6.0, median values: 0.3321145690148138, and quantile values: 0.25 -0.476406\n0.50 0.332115\n0.75 1.022028\nName: 7884, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2276631782200208, std values: 0.7762890736619283, min values: -2.1644103278868894, max values: 3.670892362631932, median values: 0.2683912756796493, and quantile values: 0.25 -0.289597\n0.50 0.268391\n0.75 0.707604\nName: 7885, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15581790960926004, std values: 0.8808399018157899, min values: -2.6072570508709387, max values: 4.0, median values: -0.1679051907857221, and quantile values: 0.25 -0.684030\n0.50 -0.167905\n0.75 0.403837\nName: 7886, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02494536823218335, std values: 0.8696800243660483, min values: -2.7542003929097176, max values: 5.0, median values: 0.0774076252862831, and quantile values: 0.25 -0.516360\n0.50 0.077408\n0.75 0.574717\nName: 7887, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11793960100763592, std values: 0.7839894308684705, min values: -2.230584937389726, max values: 4.0, median values: -0.1640951677353788, and quantile values: 0.25 -0.635924\n0.50 -0.164095\n0.75 0.325819\nName: 7888, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10670019084807515, std values: 0.8792349498220756, min values: -2.960014365184806, max values: 6.0, median values: -0.1466475251708254, and quantile values: 0.25 -0.628880\n0.50 -0.146648\n0.75 0.431060\nName: 7889, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05397795394632402, std values: 0.9668888435681917, min values: -2.446475285346346, max values: 3.5021977227593246, median values: -0.1000517637350568, and quantile values: 0.25 -0.839857\n0.50 -0.100052\n0.75 0.601699\nName: 7890, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08865641762149808, std values: 0.8551772590451385, min values: -2.215291168881953, max values: 3.528773265847577, median values: 0.054720371849787, and quantile values: 0.25 -0.491125\n0.50 0.054720\n0.75 0.603417\nName: 7891, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5517598805060783, std values: 0.891223373396113, min values: -2.1136270387555465, max values: 3.598076523509904, median values: 0.5862408053734367, and quantile values: 0.25 -0.089814\n0.50 0.586241\n0.75 1.275387\nName: 7892, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5006747561590424, std values: 1.2137936407911885, min values: -2.815821936576896, max values: 3.397048482165858, median values: 0.5624844708887412, and quantile values: 0.25 -0.348322\n0.50 0.562484\n0.75 1.497442\nName: 7893, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35513711854682495, std values: 1.0348141397062722, min values: -2.558791007225312, max values: 3.312693232344632, median values: -0.3117656471776865, and quantile values: 0.25 -0.958267\n0.50 -0.311766\n0.75 0.296628\nName: 7894, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4672337501438867, std values: 0.9140557430853357, min values: -3.447534482420193, max values: 3.3636961113187773, median values: -0.5656487099159268, and quantile values: 0.25 -1.117328\n0.50 -0.565649\n0.75 0.092994\nName: 7895, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.032733323707208155, std values: 0.9246619234553806, min values: -2.525362520654854, max values: 5.0, median values: 0.0504337701341673, and quantile values: 0.25 -0.686750\n0.50 0.050434\n0.75 0.726739\nName: 7896, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5227704279438192, std values: 0.8839065593355356, min values: -2.769191083399913, max values: 3.236860296211547, median values: -0.6479315488563075, and quantile values: 0.25 -1.132729\n0.50 -0.647932\n0.75 -0.002103\nName: 7897, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32926514802975926, std values: 0.8581125506209084, min values: -2.349293916724472, max values: 3.627976272701048, median values: 0.2434914627617841, and quantile values: 0.25 -0.209415\n0.50 0.243491\n0.75 0.871142\nName: 7898, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5371454314333718, std values: 0.8071483712629381, min values: -2.4176069991382847, max values: 6.0, median values: 0.5587141150075121, and quantile values: 0.25 0.063951\n0.50 0.558714\n0.75 1.025564\nName: 7899, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21055593885103674, std values: 1.1828415168986555, min values: -2.7510671817729784, max values: 6.0, median values: 0.0351198423031204, and quantile values: 0.25 -0.973685\n0.50 0.035120\n0.75 0.662006\nName: 7900, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5116934782621358, std values: 0.866090872536709, min values: -2.618746139350171, max values: 3.0, median values: -0.4994098784722397, and quantile values: 0.25 -1.215052\n0.50 -0.499410\n0.75 0.058168\nName: 7901, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18633867346203287, std values: 0.8139178269810677, min values: -2.1057850514779166, max values: 4.278004674434932, median values: -0.3041695804372896, and quantile values: 0.25 -0.756240\n0.50 -0.304170\n0.75 0.309627\nName: 7902, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2404059930719358, std values: 0.7232236104672646, min values: -2.9898739724800576, max values: 3.3337116327022187, median values: -0.2890912675488265, and quantile values: 0.25 -0.728371\n0.50 -0.289091\n0.75 0.193115\nName: 7903, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01826765026883458, std values: 1.050003447415106, min values: -2.673124659932621, max values: 6.0, median values: -0.027821400440802, and quantile values: 0.25 -0.643928\n0.50 -0.027821\n0.75 0.691809\nName: 7904, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10667849608272466, std values: 0.971837145154821, min values: -2.62876542141649, max values: 3.17157439250477, median values: -0.152272955447747, and quantile values: 0.25 -0.930324\n0.50 -0.152273\n0.75 0.627930\nName: 7905, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20754274844458115, std values: 0.8415377271751436, min values: -2.1450478399212254, max values: 3.1888787873512885, median values: -0.265892142797874, and quantile values: 0.25 -0.898656\n0.50 -0.265892\n0.75 0.383245\nName: 7906, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1275149706063642, std values: 0.8580253341878171, min values: -2.067607456553483, max values: 3.349054967837474, median values: -0.1952760005203755, and quantile values: 0.25 -0.810556\n0.50 -0.195276\n0.75 0.452099\nName: 7907, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3968644795505779, std values: 1.0632898580971302, min values: -2.916688926075616, max values: 6.0, median values: 0.5878132075996173, and quantile values: 0.25 -0.156123\n0.50 0.587813\n0.75 1.105023\nName: 7908, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49037479401797657, std values: 0.7803527365468429, min values: -2.4176069991382847, max values: 6.0, median values: 0.5512612099530655, and quantile values: 0.25 -0.019192\n0.50 0.551261\n0.75 1.000309\nName: 7909, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09297357377858938, std values: 0.8343162427892863, min values: -2.7825548156447035, max values: 6.0, median values: 0.0049159967296441, and quantile values: 0.25 -0.430900\n0.50 0.004916\n0.75 0.608645\nName: 7910, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22418659961399134, std values: 0.921646186858185, min values: -2.169311742921253, max values: 6.0, median values: 0.2606070927429609, and quantile values: 0.25 -0.474844\n0.50 0.260607\n0.75 0.959755\nName: 7911, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02769797742503176, std values: 0.8163842616246533, min values: -2.7016525309724218, max values: 3.784832159836258, median values: 0.0066094832566891, and quantile values: 0.25 -0.559809\n0.50 0.006609\n0.75 0.480561\nName: 7912, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4740784917693469, std values: 1.094193553164637, min values: -3.24173864501462, max values: 3.2701555622463814, median values: 0.5201079262742214, and quantile values: 0.25 -0.236985\n0.50 0.520108\n0.75 1.333470\nName: 7913, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04605452725580506, std values: 0.7762861677275322, min values: -2.098643832039722, max values: 4.0, median values: 0.0427441965881913, and quantile values: 0.25 -0.476547\n0.50 0.042744\n0.75 0.539522\nName: 7914, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12140333011583251, std values: 1.0334810949702362, min values: -2.19094009478908, max values: 4.0, median values: -0.1455619670376176, and quantile values: 0.25 -0.926162\n0.50 -0.145562\n0.75 0.566231\nName: 7915, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3655003105619015, std values: 0.9360154346843068, min values: -2.739804196611005, max values: 6.0, median values: -0.4768029804415686, and quantile values: 0.25 -1.108987\n0.50 -0.476803\n0.75 0.246013\nName: 7916, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04281479175867842, std values: 0.7680148466596736, min values: -2.131236602105937, max values: 3.0, median values: -0.0972843935779429, and quantile values: 0.25 -0.536987\n0.50 -0.097284\n0.75 0.411618\nName: 7917, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08731124005026202, std values: 0.7548415596407253, min values: -2.3893642989164, max values: 3.3337116327022187, median values: 0.1447691103030628, and quantile values: 0.25 -0.438537\n0.50 0.144769\n0.75 0.639158\nName: 7918, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.004694873398463107, std values: 0.9987927562912506, min values: -2.933035609461076, max values: 5.0, median values: -0.0093910437866541, and quantile values: 0.25 -0.623762\n0.50 -0.009391\n0.75 0.656660\nName: 7919, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2945444055103046, std values: 0.8000017032908716, min values: -1.9563114409033424, max values: 3.0, median values: 0.3224149522633488, and quantile values: 0.25 -0.242187\n0.50 0.322415\n0.75 0.857941\nName: 7920, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02214832072947104, std values: 0.8657645588825353, min values: -2.119639300682046, max values: 4.0, median values: -0.0210140423599962, and quantile values: 0.25 -0.589270\n0.50 -0.021014\n0.75 0.561356\nName: 7921, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13328378006578206, std values: 0.9176783818283943, min values: -2.62876542141649, max values: 3.281452258958016, median values: 0.1914880204064736, and quantile values: 0.25 -0.525254\n0.50 0.191488\n0.75 0.749950\nName: 7922, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2181678326740466, std values: 0.9636325800052905, min values: -2.8246479422601736, max values: 5.0, median values: -0.2941487324646181, and quantile values: 0.25 -0.876508\n0.50 -0.294149\n0.75 0.426780\nName: 7923, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.025372075952464376, std values: 0.8031729361357117, min values: -2.732564679617164, max values: 3.0, median values: -0.0582786198798998, and quantile values: 0.25 -0.569261\n0.50 -0.058279\n0.75 0.495545\nName: 7924, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03853624251315313, std values: 0.8612137631069676, min values: -2.56026492390943, max values: 4.0, median values: 0.1117159004955242, and quantile values: 0.25 -0.591131\n0.50 0.111716\n0.75 0.605863\nName: 7925, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18011484043157489, std values: 0.8550059294894122, min values: -2.1178374075792616, max values: 5.0, median values: 0.1885325743325162, and quantile values: 0.25 -0.407754\n0.50 0.188533\n0.75 0.751556\nName: 7926, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.031834289489010535, std values: 0.8960832663385886, min values: -2.6635706018350787, max values: 4.243835016543704, median values: -0.0793770391033781, and quantile values: 0.25 -0.611232\n0.50 -0.079377\n0.75 0.577549\nName: 7927, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17603338930280998, std values: 1.0100317286695415, min values: -2.92272757463548, max values: 6.0, median values: -0.1679771012721182, and quantile values: 0.25 -0.861408\n0.50 -0.167977\n0.75 0.460687\nName: 7928, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18599066000560924, std values: 0.9296088702729477, min values: -2.0893830184081783, max values: 3.336438412828754, median values: -0.3712632643596203, and quantile values: 0.25 -0.870451\n0.50 -0.371263\n0.75 0.404056\nName: 7929, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22142212905280292, std values: 0.8204436274065451, min values: -2.419133598913117, max values: 3.528773265847577, median values: 0.3118522132199443, and quantile values: 0.25 -0.359464\n0.50 0.311852\n0.75 0.788594\nName: 7930, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13248536129562052, std values: 0.8815595424620428, min values: -2.103766579362726, max values: 5.0, median values: 0.1156884614895348, and quantile values: 0.25 -0.502095\n0.50 0.115688\n0.75 0.738423\nName: 7931, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4214000758695466, std values: 1.8523666696296015, min values: -2.944950884974346, max values: 3.709787027503053, median values: -0.5687328914620953, and quantile values: 0.25 -2.163551\n0.50 -0.568733\n0.75 1.242292\nName: 7932, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18801894332300556, std values: 0.9725022791322702, min values: -3.045947208515832, max values: 6.0, median values: 0.1962023754648285, and quantile values: 0.25 -0.418408\n0.50 0.196202\n0.75 0.766720\nName: 7933, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3060914833592812, std values: 0.8919601799726267, min values: -1.952032093797395, max values: 4.0, median values: 0.2090955550011792, and quantile values: 0.25 -0.302041\n0.50 0.209096\n0.75 0.887361\nName: 7934, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1145692033445634, std values: 1.013022153383448, min values: -2.228684256185437, max values: 6.0, median values: 0.1230437534714419, and quantile values: 0.25 -0.671899\n0.50 0.123044\n0.75 0.923424\nName: 7935, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16130209146879976, std values: 0.9546926471229827, min values: -2.5293911731823453, max values: 3.0, median values: -0.160550871618511, and quantile values: 0.25 -0.753877\n0.50 -0.160551\n0.75 0.424632\nName: 7936, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20978302428306875, std values: 0.7737146830918736, min values: -2.72346435408924, max values: 4.0, median values: -0.2865420004474728, and quantile values: 0.25 -0.772823\n0.50 -0.286542\n0.75 0.295764\nName: 7937, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13866627975462065, std values: 0.8793027547327148, min values: -2.116008317253216, max values: 3.1485882570365185, median values: -0.2574157658913983, and quantile values: 0.25 -0.773874\n0.50 -0.257416\n0.75 0.451951\nName: 7938, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3759059860081134, std values: 1.0477582971245696, min values: -2.8246479422601736, max values: 6.0, median values: -0.3404427006050087, and quantile values: 0.25 -0.973073\n0.50 -0.340443\n0.75 0.316742\nName: 7939, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19547537228838754, std values: 0.9268538368180907, min values: -3.062179113294277, max values: 3.709787027503053, median values: -0.2095274928159861, and quantile values: 0.25 -0.857441\n0.50 -0.209527\n0.75 0.377620\nName: 7940, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5731529761748954, std values: 0.9985992486790397, min values: -2.876502173242568, max values: 2.985133931273498, median values: -0.4544394954498144, and quantile values: 0.25 -1.317726\n0.50 -0.454439\n0.75 0.077409\nName: 7941, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04110384667231496, std values: 0.9190053618177823, min values: -2.601639132009086, max values: 6.0, median values: -0.0769352381930242, and quantile values: 0.25 -0.609214\n0.50 -0.076935\n0.75 0.628419\nName: 7942, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14109454975302263, std values: 0.9004238378281878, min values: -2.724017888297919, max values: 3.0, median values: -0.161245201816226, and quantile values: 0.25 -0.768614\n0.50 -0.161245\n0.75 0.492458\nName: 7943, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02372720661249131, std values: 0.8522609791936846, min values: -2.0091350987501504, max values: 3.162318759909359, median values: 0.0011580909776899, and quantile values: 0.25 -0.523579\n0.50 0.001158\n0.75 0.475868\nName: 7944, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.045353689588870386, std values: 0.7866782632967136, min values: -2.507084845405409, max values: 3.096891534584617, median values: 0.0743143330189924, and quantile values: 0.25 -0.507976\n0.50 0.074314\n0.75 0.520240\nName: 7945, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.020283089534905284, std values: 0.8054586444011655, min values: -2.2165554792012925, max values: 6.0, median values: -0.0129713801952261, and quantile values: 0.25 -0.527500\n0.50 -0.012971\n0.75 0.556623\nName: 7946, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08036878811887649, std values: 0.761294042943489, min values: -1.998924259736456, max values: 5.0, median values: 0.0869408568292449, and quantile values: 0.25 -0.432571\n0.50 0.086941\n0.75 0.544669\nName: 7947, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09079956810595217, std values: 1.173718152486151, min values: -2.9029979285382743, max values: 6.0, median values: 0.1601901760316563, and quantile values: 0.25 -0.599589\n0.50 0.160190\n0.75 0.860449\nName: 7948, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15980334962146192, std values: 0.8575237959572658, min values: -2.2915911556076085, max values: 3.216771431244405, median values: 0.1865537309128705, and quantile values: 0.25 -0.485420\n0.50 0.186554\n0.75 0.806002\nName: 7949, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16235919198319146, std values: 1.0601971689381426, min values: -2.634919142586459, max values: 6.0, median values: 0.3156010476874471, and quantile values: 0.25 -0.498390\n0.50 0.315601\n0.75 0.908462\nName: 7950, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08635455672516001, std values: 0.853711883323523, min values: -2.643887016977268, max values: 6.0, median values: -0.1517714864955723, and quantile values: 0.25 -0.568150\n0.50 -0.151771\n0.75 0.418485\nName: 7951, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0184170146916017, std values: 1.071802338895929, min values: -2.486556664247513, max values: 4.278004674434932, median values: 0.1073059636288521, and quantile values: 0.25 -0.811771\n0.50 0.107306\n0.75 0.767005\nName: 7952, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6784424997151318, std values: 1.115863935018077, min values: -2.825926939679757, max values: 3.9048392686725855, median values: 0.7250781619900246, and quantile values: 0.25 -0.038368\n0.50 0.725078\n0.75 1.551023\nName: 7953, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23396320597884412, std values: 0.8155630816571651, min values: -2.2012167772695554, max values: 3.20751086257212, median values: 0.3153278045873249, and quantile values: 0.25 -0.336116\n0.50 0.315328\n0.75 0.822970\nName: 7954, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36157879241495716, std values: 0.8830352622569457, min values: -2.1269862447630747, max values: 6.0, median values: -0.4631833523502264, and quantile values: 0.25 -1.024844\n0.50 -0.463183\n0.75 0.224697\nName: 7955, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24823363794386527, std values: 1.0461868120860174, min values: -2.6320986139293034, max values: 3.0, median values: 0.407604511139801, and quantile values: 0.25 -0.446524\n0.50 0.407605\n0.75 1.044299\nName: 7956, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36165120439242643, std values: 0.8468756251593882, min values: -2.264034258932616, max values: 3.0, median values: -0.5093384641466034, and quantile values: 0.25 -0.976254\n0.50 -0.509338\n0.75 0.179855\nName: 7957, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09571085918536733, std values: 0.8856134191447861, min values: -2.5293911731823453, max values: 3.0, median values: 0.0212619515567388, and quantile values: 0.25 -0.635982\n0.50 0.021262\n0.75 0.490538\nName: 7958, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15957111577024263, std values: 0.9079433013041078, min values: -2.5953860446419177, max values: 5.0, median values: 0.1940207320904436, and quantile values: 0.25 -0.385409\n0.50 0.194021\n0.75 0.723450\nName: 7959, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3955140792947359, std values: 0.9736042371476974, min values: -2.0754191617391693, max values: 3.066111439712683, median values: 0.4442129976887692, and quantile values: 0.25 -0.332140\n0.50 0.444213\n0.75 1.198679\nName: 7960, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05510590075156225, std values: 0.7829586633682957, min values: -3.002493140275396, max values: 5.0, median values: 0.0092648582944087, and quantile values: 0.25 -0.475929\n0.50 0.009265\n0.75 0.516995\nName: 7961, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31320107458003443, std values: 0.9472925350108715, min values: -3.0687217584296813, max values: 3.216771431244405, median values: 0.4159323545924402, and quantile values: 0.25 -0.199635\n0.50 0.415932\n0.75 0.933460\nName: 7962, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15317448315043697, std values: 0.7447345043739741, min values: -2.3893642989164, max values: 2.684668466001946, median values: -0.1169733898619533, and quantile values: 0.25 -0.692859\n0.50 -0.116973\n0.75 0.320548\nName: 7963, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10136831664225764, std values: 0.9098306488323611, min values: -2.783691185534105, max values: 3.281452258958016, median values: 0.043288293362407, and quantile values: 0.25 -0.541629\n0.50 0.043288\n0.75 0.710117\nName: 7964, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04792515828980069, std values: 1.0232407756618287, min values: -2.5953860446419177, max values: 5.0, median values: -0.1663473427858357, and quantile values: 0.25 -0.759447\n0.50 -0.166347\n0.75 0.619953\nName: 7965, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07778297314553079, std values: 0.7502841802458747, min values: -2.72346435408924, max values: 4.0, median values: 0.1160074075488418, and quantile values: 0.25 -0.392951\n0.50 0.116007\n0.75 0.522916\nName: 7966, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.005099290787403145, std values: 0.8317238419580629, min values: -2.662750916816848, max values: 5.0, median values: -0.0897055516780977, and quantile values: 0.25 -0.597843\n0.50 -0.089706\n0.75 0.516077\nName: 7967, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5757794209975631, std values: 1.0847640145665778, min values: -2.162123508609361, max values: 3.405671179043623, median values: 0.7382535943141356, and quantile values: 0.25 -0.233583\n0.50 0.738254\n0.75 1.456616\nName: 7968, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2964000814050526, std values: 0.8194602715342404, min values: -2.2423374092797945, max values: 3.197902420311553, median values: 0.3320104810586379, and quantile values: 0.25 -0.255329\n0.50 0.332010\n0.75 0.859374\nName: 7969, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2617595549207974, std values: 0.9166752675014501, min values: -2.7510671817729784, max values: 6.0, median values: 0.3541242474319513, and quantile values: 0.25 -0.292235\n0.50 0.354124\n0.75 0.884140\nName: 7970, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09684265917203523, std values: 0.9302508765286601, min values: -2.1232100101643527, max values: 6.0, median values: 0.0153124564284138, and quantile values: 0.25 -0.605532\n0.50 0.015312\n0.75 0.726554\nName: 7971, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03567968246051555, std values: 0.8080021640357642, min values: -2.327616250472601, max values: 3.096891534584617, median values: -0.1280701023906514, and quantile values: 0.25 -0.612632\n0.50 -0.128070\n0.75 0.498631\nName: 7972, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12121748655512064, std values: 0.8993830788946819, min values: -3.0363117572416627, max values: 5.0, median values: 0.0993321746360042, and quantile values: 0.25 -0.431082\n0.50 0.099332\n0.75 0.738471\nName: 7973, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3068983441084601, std values: 0.8431348570792009, min values: -2.031005372878356, max values: 6.0, median values: 0.3458824398946987, and quantile values: 0.25 -0.265549\n0.50 0.345882\n0.75 0.851750\nName: 7974, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2707982819149938, std values: 0.953561362578947, min values: -2.657750824678472, max values: 5.0, median values: -0.2216981995753638, and quantile values: 0.25 -0.892233\n0.50 -0.221698\n0.75 0.328782\nName: 7975, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2559214393413053, std values: 0.8508335032017796, min values: -2.4823451998031074, max values: 3.784832159836258, median values: 0.355911449396607, and quantile values: 0.25 -0.204013\n0.50 0.355911\n0.75 0.803715\nName: 7976, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23187660408745345, std values: 0.9302856810574334, min values: -2.1801503374620244, max values: 3.090297571450676, median values: 0.1573176551596912, and quantile values: 0.25 -0.493896\n0.50 0.157318\n0.75 0.911420\nName: 7977, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3532742711325035, std values: 1.3400489002325657, min values: -2.9265160609644223, max values: 6.0, median values: 0.510327532320898, and quantile values: 0.25 -0.477359\n0.50 0.510328\n0.75 1.325672\nName: 7978, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4657013638514633, std values: 0.9612120041590851, min values: -2.1631393356106687, max values: 5.0, median values: -0.5981058884136291, and quantile values: 0.25 -1.282132\n0.50 -0.598106\n0.75 0.184424\nName: 7979, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.018523776423232687, std values: 0.8279004013336448, min values: -2.140943184359666, max values: 5.0, median values: -0.0383716773295559, and quantile values: 0.25 -0.549019\n0.50 -0.038372\n0.75 0.468233\nName: 7980, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2929820103668358, std values: 0.9204946050001444, min values: -2.300042081328127, max values: 4.278004674434932, median values: -0.3486689309153593, and quantile values: 0.25 -1.019902\n0.50 -0.348669\n0.75 0.309174\nName: 7981, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24461501131719207, std values: 0.9184652038729614, min values: -2.673549169958716, max values: 6.0, median values: 0.3083308143497117, and quantile values: 0.25 -0.270032\n0.50 0.308331\n0.75 0.820847\nName: 7982, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15554609261981522, std values: 0.9476348161638962, min values: -2.279638670509252, max values: 6.0, median values: -0.2784829946858394, and quantile values: 0.25 -0.877848\n0.50 -0.278483\n0.75 0.476618\nName: 7983, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27316051607299674, std values: 0.8286333519667158, min values: -2.7042774301055723, max values: 6.0, median values: -0.2740197613950324, and quantile values: 0.25 -0.761197\n0.50 -0.274020\n0.75 0.218333\nName: 7984, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27309007076299047, std values: 0.8107593954087428, min values: -2.590643619371846, max values: 4.0, median values: -0.2240726335326226, and quantile values: 0.25 -0.797722\n0.50 -0.224073\n0.75 0.224923\nName: 7985, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3982905149683342, std values: 0.8540415261710874, min values: -2.6404955031131814, max values: 6.0, median values: 0.4486550576369952, and quantile values: 0.25 -0.215048\n0.50 0.448655\n0.75 0.985825\nName: 7986, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10719777788910632, std values: 0.7970670071549322, min values: -2.710223074556336, max values: 4.0, median values: 0.0633592033608077, and quantile values: 0.25 -0.417981\n0.50 0.063359\n0.75 0.599172\nName: 7987, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03861888370529262, std values: 0.7384079814088427, min values: -2.564449278715455, max values: 3.627976272701048, median values: -0.1268272520261426, and quantile values: 0.25 -0.526012\n0.50 -0.126827\n0.75 0.395377\nName: 7988, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3554362523189233, std values: 0.8939395234561398, min values: -2.253430408948175, max values: 3.0, median values: -0.4908848513809203, and quantile values: 0.25 -1.034321\n0.50 -0.490885\n0.75 0.227381\nName: 7989, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14231233475038407, std values: 0.879332003374729, min values: -2.56026492390943, max values: 4.0, median values: 0.0614513223035008, and quantile values: 0.25 -0.520865\n0.50 0.061451\n0.75 0.767926\nName: 7990, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5577767429534871, std values: 0.9906645602855536, min values: -2.1558924048879446, max values: 4.0, median values: 0.6454875339268956, and quantile values: 0.25 -0.156314\n0.50 0.645488\n0.75 1.334744\nName: 7991, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0007400698097890562, std values: 1.0024741231282555, min values: -2.13830921059823, max values: 3.709787027503053, median values: -0.0535896030312394, and quantile values: 0.25 -0.749731\n0.50 -0.053590\n0.75 0.678516\nName: 7992, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5660250672426758, std values: 0.8986793280636987, min values: -2.1429825027197715, max values: 4.0, median values: 0.6778315265148186, and quantile values: 0.25 -0.061148\n0.50 0.677832\n0.75 1.239260\nName: 7993, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31025465122988327, std values: 0.8866095850787519, min values: -2.199533143121557, max values: 6.0, median values: 0.2804875267969762, and quantile values: 0.25 -0.286221\n0.50 0.280488\n0.75 0.862526\nName: 7994, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17709863499151246, std values: 0.8832424375304493, min values: -2.1511341598453977, max values: 4.0, median values: -0.3012004960696571, and quantile values: 0.25 -0.817007\n0.50 -0.301200\n0.75 0.385202\nName: 7995, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49296729600977285, std values: 0.9359511852102113, min values: -2.469941537133514, max values: 4.0, median values: -0.5775066065947554, and quantile values: 0.25 -1.284122\n0.50 -0.577507\n0.75 0.167782\nName: 7996, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41343034580982124, std values: 0.896504402428477, min values: -1.8554550296995305, max values: 3.5427287984042666, median values: 0.4930188286560544, and quantile values: 0.25 -0.254548\n0.50 0.493019\n0.75 1.115018\nName: 7997, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.394450089534083, std values: 1.1183101499862198, min values: -2.64479559868397, max values: 6.0, median values: 0.4127270065820716, and quantile values: 0.25 -0.458912\n0.50 0.412727\n0.75 1.295582\nName: 7998, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0035826972683721116, std values: 1.1248110382797192, min values: -2.855306289371099, max values: 6.0, median values: -0.0255041685409102, and quantile values: 0.25 -0.734269\n0.50 -0.025504\n0.75 0.778154\nName: 7999, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13264140580302944, std values: 0.8848046470034061, min values: -2.300042081328127, max values: 4.0, median values: -0.2541718754333787, and quantile values: 0.25 -0.782527\n0.50 -0.254172\n0.75 0.411067\nName: 8000, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23750585302363278, std values: 0.8627272300374506, min values: -2.5961021427111413, max values: 3.141939528112806, median values: -0.2493962652680374, and quantile values: 0.25 -0.770944\n0.50 -0.249396\n0.75 0.271647\nName: 8001, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.003195024796317499, std values: 0.8021143849998464, min values: -2.21816452196686, max values: 3.3636961113187773, median values: 0.0046541607093782, and quantile values: 0.25 -0.528320\n0.50 0.004654\n0.75 0.492458\nName: 8002, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14100364498353835, std values: 0.8423874676751746, min values: -2.0972650777209885, max values: 2.7430805998505585, median values: -0.2294318862626659, and quantile values: 0.25 -0.756386\n0.50 -0.229432\n0.75 0.398113\nName: 8003, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16991605316778433, std values: 0.8214072323183712, min values: -2.0604662602729085, max values: 5.0, median values: -0.2512780750979979, and quantile values: 0.25 -0.733589\n0.50 -0.251278\n0.75 0.301448\nName: 8004, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11997197924723718, std values: 0.763873976928759, min values: -2.5046447434119337, max values: 4.0, median values: -0.0711941424418148, and quantile values: 0.25 -0.657041\n0.50 -0.071194\n0.75 0.411761\nName: 8005, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4664378689225767, std values: 0.8718421355421878, min values: -2.679056533720636, max values: 5.0, median values: -0.4527629881542452, and quantile values: 0.25 -1.144472\n0.50 -0.452763\n0.75 0.118925\nName: 8006, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11472989368706143, std values: 0.7696939823843953, min values: -1.9616526502360545, max values: 3.2266531185902125, median values: -0.1525794275399765, and quantile values: 0.25 -0.654609\n0.50 -0.152579\n0.75 0.386299\nName: 8007, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29424987145619397, std values: 0.7601330773038332, min values: -2.3937380876386865, max values: 4.0, median values: -0.3319231830346953, and quantile values: 0.25 -0.806124\n0.50 -0.331923\n0.75 0.162004\nName: 8008, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06578109398339665, std values: 1.2125782420985114, min values: -3.124705982383478, max values: 3.025409039429847, median values: 0.2377141454119354, and quantile values: 0.25 -0.675573\n0.50 0.237714\n0.75 1.013482\nName: 8009, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33130810823610496, std values: 0.8949945876327872, min values: -2.5913217250832665, max values: 5.0, median values: -0.3915569125089701, and quantile values: 0.25 -0.984045\n0.50 -0.391557\n0.75 0.265281\nName: 8010, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0013628897339065557, std values: 0.7096666708283923, min values: -2.245752867605861, max values: 3.147276669305989, median values: -0.0462928889506348, and quantile values: 0.25 -0.456537\n0.50 -0.046293\n0.75 0.440203\nName: 8011, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3150906346510052, std values: 1.1354747863315313, min values: -2.879968592907284, max values: 4.0, median values: -0.2931477875341735, and quantile values: 0.25 -0.928504\n0.50 -0.293148\n0.75 0.427505\nName: 8012, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7528903714794414, std values: 1.1963128725650556, min values: -2.8327898928872086, max values: 4.0, median values: 0.870416439676714, and quantile values: 0.25 -0.020871\n0.50 0.870416\n0.75 1.721184\nName: 8013, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15953105918043148, std values: 0.8754924684132513, min values: -2.052706238094415, max values: 6.0, median values: -0.2570457123361935, and quantile values: 0.25 -0.844214\n0.50 -0.257046\n0.75 0.452449\nName: 8014, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06428555141165265, std values: 0.9226856147743681, min values: -2.0884068356849723, max values: 5.0, median values: 0.0325031657598805, and quantile values: 0.25 -0.652048\n0.50 0.032503\n0.75 0.713843\nName: 8015, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3504000630614159, std values: 0.8189651284631096, min values: -2.687115288423959, max values: 5.0, median values: 0.431081727865284, and quantile values: 0.25 -0.176949\n0.50 0.431082\n0.75 0.883408\nName: 8016, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6693749513291006, std values: 1.0571228197783031, min values: -3.242093130849769, max values: 4.278004674434932, median values: -0.7655788921342972, and quantile values: 0.25 -1.432859\n0.50 -0.765579\n0.75 0.012944\nName: 8017, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1179496178449464, std values: 0.7199706853447854, min values: -1.9961438138877063, max values: 3.528773265847577, median values: -0.1139041551050971, and quantile values: 0.25 -0.592549\n0.50 -0.113904\n0.75 0.345180\nName: 8018, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3549130240444148, std values: 1.045323914459745, min values: -2.5293911731823453, max values: 3.709787027503053, median values: 0.4495183679934953, and quantile values: 0.25 -0.319305\n0.50 0.449518\n0.75 1.161563\nName: 8019, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05250172080115801, std values: 0.9574282697390534, min values: -2.916688926075616, max values: 6.0, median values: 0.0505757581322623, and quantile values: 0.25 -0.580133\n0.50 0.050576\n0.75 0.557075\nName: 8020, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.287783247909933, std values: 1.0539842542717985, min values: -2.727901130262228, max values: 4.0, median values: -1.6980506687939654, and quantile values: 0.25 -2.145101\n0.50 -1.698051\n0.75 -0.460014\nName: 8021, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10504650837107034, std values: 0.783238315489796, min values: -2.251967524954129, max values: 5.0, median values: -0.1063901911032863, and quantile values: 0.25 -0.628184\n0.50 -0.106390\n0.75 0.368025\nName: 8022, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.040938130035051264, std values: 0.8818129689788051, min values: -2.536941606705235, max values: 4.0, median values: -0.035033500671267, and quantile values: 0.25 -0.761970\n0.50 -0.035034\n0.75 0.616257\nName: 8023, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20025323477285512, std values: 0.8558724624423771, min values: -2.047750152315884, max values: 4.0, median values: -0.3442867729356516, and quantile values: 0.25 -0.867290\n0.50 -0.344287\n0.75 0.382000\nName: 8024, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20764380928535178, std values: 0.8437063868124755, min values: -2.052253597414744, max values: 3.1290445144064547, median values: -0.2862218905492948, and quantile values: 0.25 -0.870969\n0.50 -0.286222\n0.75 0.317838\nName: 8025, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5348142757445624, std values: 1.0848334385754153, min values: -2.1632655041380184, max values: 4.0, median values: 0.5472583198787356, and quantile values: 0.25 -0.303699\n0.50 0.547258\n0.75 1.436627\nName: 8026, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0999103783028687, std values: 0.8425649426473923, min values: -2.374446373878101, max values: 4.0, median values: -0.1775099016121269, and quantile values: 0.25 -0.703724\n0.50 -0.177510\n0.75 0.435779\nName: 8027, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22846519824932796, std values: 0.8315955065745652, min values: -2.8889090019311845, max values: 5.0, median values: 0.2773952890471841, and quantile values: 0.25 -0.360874\n0.50 0.277395\n0.75 0.845217\nName: 8028, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6430992081925068, std values: 0.8116267725350909, min values: -2.1269862447630747, max values: 3.155170554159904, median values: -0.8026052281567998, and quantile values: 0.25 -1.242089\n0.50 -0.802605\n0.75 -0.190963\nName: 8029, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30682168822741107, std values: 1.0039998652633964, min values: -2.6466193392086392, max values: 4.0, median values: 0.420472157896784, and quantile values: 0.25 -0.204146\n0.50 0.420472\n0.75 0.957182\nName: 8030, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.031089646584402292, std values: 0.8912555208407557, min values: -2.1017566422541964, max values: 2.95278420891759, median values: -0.0324194494940462, and quantile values: 0.25 -0.634975\n0.50 -0.032419\n0.75 0.609926\nName: 8031, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3393034609025672, std values: 0.8640363155907826, min values: -2.862971749830789, max values: 3.415255285860171, median values: 0.3733645098704335, and quantile values: 0.25 -0.221238\n0.50 0.373365\n0.75 0.873493\nName: 8032, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43447203521272976, std values: 0.8895961935215289, min values: -2.679056533720636, max values: 5.0, median values: -0.4924584426588129, and quantile values: 0.25 -1.053805\n0.50 -0.492458\n0.75 0.069068\nName: 8033, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09911378442360666, std values: 0.8092002993743388, min values: -2.04752606731294, max values: 6.0, median values: -0.1038948124101404, and quantile values: 0.25 -0.640746\n0.50 -0.103895\n0.75 0.365286\nName: 8034, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5707003034683329, std values: 0.852743180011783, min values: -2.5879430435308, max values: 3.336438412828754, median values: 0.5235979823493694, and quantile values: 0.25 0.022805\n0.50 0.523598\n0.75 1.147663\nName: 8035, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20634560248011513, std values: 0.782795589020269, min values: -2.019021851668823, max values: 3.2696814875916886, median values: 0.2570741767439788, and quantile values: 0.25 -0.302383\n0.50 0.257074\n0.75 0.703210\nName: 8036, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07731642424423013, std values: 0.8013284487960223, min values: -2.196708653609315, max values: 6.0, median values: 0.0568006076703479, and quantile values: 0.25 -0.457062\n0.50 0.056801\n0.75 0.537965\nName: 8037, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07744387970648899, std values: 0.8280547547868792, min values: -2.537573835824454, max values: 6.0, median values: 0.0212344060261823, and quantile values: 0.25 -0.498287\n0.50 0.021234\n0.75 0.627153\nName: 8038, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5142878460397491, std values: 0.8557030888096633, min values: -2.919359491767569, max values: 6.0, median values: -0.6719846511817184, and quantile values: 0.25 -1.118516\n0.50 -0.671985\n0.75 -0.033544\nName: 8039, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15258684687262555, std values: 0.7456387095695359, min values: -2.119621483749997, max values: 3.5581019918925243, median values: -0.1717656240420857, and quantile values: 0.25 -0.618785\n0.50 -0.171766\n0.75 0.278741\nName: 8040, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5132019689916896, std values: 1.0347870980971339, min values: -2.879968592907284, max values: 4.0, median values: -0.6564138221905316, and quantile values: 0.25 -1.413598\n0.50 -0.656414\n0.75 0.215386\nName: 8041, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8594694067573831, std values: 0.9989758667964577, min values: -2.5879430435308, max values: 4.026668017837955, median values: 0.9617513008564136, and quantile values: 0.25 0.192239\n0.50 0.961751\n0.75 1.594854\nName: 8042, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1932586435478375, std values: 1.143708727185242, min values: -2.7542003929097176, max values: 5.0, median values: -0.155338324915167, and quantile values: 0.25 -1.124901\n0.50 -0.155338\n0.75 0.803780\nName: 8043, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23653194871959388, std values: 0.8461038279792111, min values: -2.15085577507779, max values: 5.0, median values: 0.2210269961442649, and quantile values: 0.25 -0.357055\n0.50 0.221027\n0.75 0.796746\nName: 8044, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20595493308245694, std values: 0.7859351143335965, min values: -2.1144606839090367, max values: 5.0, median values: -0.2508453979115472, and quantile values: 0.25 -0.747180\n0.50 -0.250845\n0.75 0.277109\nName: 8045, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17829506020612335, std values: 1.0898765694140689, min values: -2.09134137830184, max values: 6.0, median values: -0.2745058728599029, and quantile values: 0.25 -1.064614\n0.50 -0.274506\n0.75 0.547930\nName: 8046, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.019015379065571134, std values: 0.939895825258085, min values: -2.2161166709808824, max values: 6.0, median values: -0.0816897492664557, and quantile values: 0.25 -0.675597\n0.50 -0.081690\n0.75 0.626977\nName: 8047, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.041339001237725964, std values: 0.8882401989251276, min values: -2.1136270387555465, max values: 3.336438412828754, median values: 0.03947987601506, and quantile values: 0.25 -0.562614\n0.50 0.039480\n0.75 0.582665\nName: 8048, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8008735191311906, std values: 1.1872944692689682, min values: -3.00972886875607, max values: 3.098911021393695, median values: -0.9523606971064996, and quantile values: 0.25 -1.718280\n0.50 -0.952361\n0.75 0.036057\nName: 8049, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4039071152366464, std values: 0.8445066110178655, min values: -2.0872380656635823, max values: 3.760287110694155, median values: -0.4546018032952104, and quantile values: 0.25 -1.090077\n0.50 -0.454602\n0.75 0.140943\nName: 8050, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10530717080584268, std values: 1.2007004828633796, min values: -2.887007053971579, max values: 3.312693232344632, median values: 0.07983858743809, and quantile values: 0.25 -0.594738\n0.50 0.079839\n0.75 0.832941\nName: 8051, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39349860794760544, std values: 0.7808335438452157, min values: -2.196181211030292, max values: 5.0, median values: 0.4427825541871723, and quantile values: 0.25 -0.104481\n0.50 0.442783\n0.75 0.890299\nName: 8052, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14678704480317162, std values: 0.8041806214734205, min values: -2.605098146828148, max values: 6.0, median values: 0.1781973976590034, and quantile values: 0.25 -0.379454\n0.50 0.178197\n0.75 0.622470\nName: 8053, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6699033620253912, std values: 1.331252758120913, min values: -2.9090251609554527, max values: 6.0, median values: -0.8125050889061496, and quantile values: 0.25 -1.831404\n0.50 -0.812505\n0.75 0.268563\nName: 8054, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12144763821040407, std values: 1.0206127870372694, min values: -2.0540666893857096, max values: 6.0, median values: -0.2191366309516395, and quantile values: 0.25 -0.934705\n0.50 -0.219137\n0.75 0.598435\nName: 8055, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08127695093626594, std values: 0.8877244022532198, min values: -2.240740315114864, max values: 4.0, median values: -0.1828279952901465, and quantile values: 0.25 -0.734425\n0.50 -0.182828\n0.75 0.519969\nName: 8056, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01695765042283968, std values: 0.8727744886593952, min values: -2.0558865589498763, max values: 6.0, median values: -0.1125483250506399, and quantile values: 0.25 -0.609698\n0.50 -0.112548\n0.75 0.510579\nName: 8057, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21675729870773552, std values: 0.837919342014904, min values: -2.469941537133514, max values: 4.0, median values: 0.1820719544203553, and quantile values: 0.25 -0.427104\n0.50 0.182072\n0.75 0.833136\nName: 8058, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21877126262364188, std values: 1.0386924099975303, min values: -2.737201088051888, max values: 3.349054967837474, median values: -0.392440088303962, and quantile values: 0.25 -1.066574\n0.50 -0.392440\n0.75 0.462657\nName: 8059, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10570478431191799, std values: 0.8262985341363684, min values: -2.3913286244721883, max values: 4.0, median values: 0.1402088566343658, and quantile values: 0.25 -0.459004\n0.50 0.140209\n0.75 0.645966\nName: 8060, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2488218333889166, std values: 0.848103456812272, min values: -2.080605134506434, max values: 6.0, median values: -0.3516089771676454, and quantile values: 0.25 -0.908182\n0.50 -0.351609\n0.75 0.308033\nName: 8061, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7880201145551516, std values: 1.0677425367777347, min values: -2.5631847770497496, max values: 4.0, median values: 0.7399906839796885, and quantile values: 0.25 0.075371\n0.50 0.739991\n0.75 1.510240\nName: 8062, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32738207986539364, std values: 0.8361635612673105, min values: -2.641174291463747, max values: 6.0, median values: -0.3235832502357039, and quantile values: 0.25 -0.890616\n0.50 -0.323583\n0.75 0.222183\nName: 8063, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2043956042266134, std values: 0.9479516780554613, min values: -2.838932175687192, max values: 4.0, median values: -0.2882873555220541, and quantile values: 0.25 -0.937488\n0.50 -0.288287\n0.75 0.400212\nName: 8064, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0982484419605927, std values: 0.7958561623465359, min values: -2.7016525309724218, max values: 2.940767124716234, median values: -0.1145464633312437, and quantile values: 0.25 -0.606059\n0.50 -0.114546\n0.75 0.386729\nName: 8065, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5902106551669667, std values: 0.9072395704763679, min values: -3.1386665508340674, max values: 2.819348159204945, median values: -0.720689265334791, and quantile values: 0.25 -1.280926\n0.50 -0.720689\n0.75 -0.028838\nName: 8066, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26677338529257993, std values: 1.02623775483148, min values: -2.9622221028070275, max values: 6.0, median values: -0.0907010085951605, and quantile values: 0.25 -0.927413\n0.50 -0.090701\n0.75 0.455793\nName: 8067, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44351571265722295, std values: 0.8541228262764046, min values: -2.72346435408924, max values: 4.0, median values: -0.565291122310653, and quantile values: 0.25 -1.105175\n0.50 -0.565291\n0.75 0.142779\nName: 8068, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07199159677017918, std values: 0.7680049324015635, min values: -2.156806272086999, max values: 5.0, median values: -0.0711665332744111, and quantile values: 0.25 -0.584053\n0.50 -0.071167\n0.75 0.381996\nName: 8069, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4050409502084407, std values: 1.1355782070803877, min values: -3.21990804472754, max values: 5.0, median values: -0.4634727898617871, and quantile values: 0.25 -1.178291\n0.50 -0.463473\n0.75 0.296795\nName: 8070, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07976249011630228, std values: 0.8906218569296976, min values: -2.8843374390620142, max values: 6.0, median values: 0.1700149275097474, and quantile values: 0.25 -0.405415\n0.50 0.170015\n0.75 0.647490\nName: 8071, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05584087711197951, std values: 1.140864336173135, min values: -3.0148736195915964, max values: 3.709787027503053, median values: 0.197381641796078, and quantile values: 0.25 -0.588419\n0.50 0.197382\n0.75 0.876022\nName: 8072, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03888350264225764, std values: 0.8907321340640197, min values: -3.062179113294277, max values: 3.2701555622463814, median values: -0.0342057971303086, and quantile values: 0.25 -0.720107\n0.50 -0.034206\n0.75 0.611365\nName: 8073, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2372929834526087, std values: 0.860625041746957, min values: -2.240740315114864, max values: 4.0, median values: 0.1995870693725151, and quantile values: 0.25 -0.314881\n0.50 0.199587\n0.75 0.742153\nName: 8074, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.510058292812993, std values: 0.8897308546819738, min values: -2.6320986139293034, max values: 3.090297571450676, median values: -0.597743662950383, and quantile values: 0.25 -1.094497\n0.50 -0.597744\n0.75 0.016663\nName: 8075, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04827571457168958, std values: 1.0134832094219766, min values: -2.72346435408924, max values: 4.0, median values: -0.1807433291214615, and quantile values: 0.25 -0.707150\n0.50 -0.180743\n0.75 0.532158\nName: 8076, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.058077521225871266, std values: 0.9886922668377214, min values: -2.93129584560762, max values: 6.0, median values: -0.0705839268068347, and quantile values: 0.25 -0.759573\n0.50 -0.070584\n0.75 0.630725\nName: 8077, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31130715776061973, std values: 1.0585962702067875, min values: -2.705193877764329, max values: 3.0932086550988465, median values: -0.4606327153638997, and quantile values: 0.25 -1.185037\n0.50 -0.460633\n0.75 0.406198\nName: 8078, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.061077058789339986, std values: 0.8904138806774178, min values: -2.073524544085168, max values: 2.975781014280383, median values: -0.022721888280958, and quantile values: 0.25 -0.602825\n0.50 -0.022722\n0.75 0.681838\nName: 8079, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12568477995866845, std values: 1.1976690289211087, min values: -2.928515832252388, max values: 5.0, median values: -0.0136874659619697, and quantile values: 0.25 -0.817534\n0.50 -0.013687\n0.75 0.683105\nName: 8080, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.571457533083572, std values: 0.9577821376680947, min values: -1.9918692121535213, max values: 3.4217036547572275, median values: 0.6047717049871799, and quantile values: 0.25 -0.137996\n0.50 0.604772\n0.75 1.321791\nName: 8081, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3294437580171254, std values: 0.8603060483053149, min values: -2.5563022890751474, max values: 4.0, median values: -0.4035429167836361, and quantile values: 0.25 -0.931928\n0.50 -0.403543\n0.75 0.195837\nName: 8082, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02618045670846149, std values: 0.9669604717202632, min values: -2.094787931821739, max values: 6.0, median values: -0.0314627155098902, and quantile values: 0.25 -0.668641\n0.50 -0.031463\n0.75 0.653204\nName: 8083, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.00041789400510183175, std values: 0.8390803141657313, min values: -2.788272971802125, max values: 3.3483277116524426, median values: 0.0421764569209492, and quantile values: 0.25 -0.486118\n0.50 0.042176\n0.75 0.508370\nName: 8084, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.011658157342895818, std values: 0.9710945729776217, min values: -2.048935494746508, max values: 3.784832159836258, median values: -0.0617725890391526, and quantile values: 0.25 -0.807376\n0.50 -0.061773\n0.75 0.658010\nName: 8085, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30142467463253814, std values: 0.8394289374715206, min values: -2.525881048269423, max values: 3.5021977227593246, median values: -0.3932820364677231, and quantile values: 0.25 -0.966938\n0.50 -0.393282\n0.75 0.250888\nName: 8086, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35129871715926025, std values: 0.8904400848242827, min values: -2.730840794324401, max values: 3.0, median values: -0.4097600401032165, and quantile values: 0.25 -0.955356\n0.50 -0.409760\n0.75 0.176061\nName: 8087, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14850823317844924, std values: 0.9259727650491667, min values: -2.1232100101643527, max values: 6.0, median values: 0.1397751877721669, and quantile values: 0.25 -0.567705\n0.50 0.139775\n0.75 0.883191\nName: 8088, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13415139652759472, std values: 0.9176695640262286, min values: -3.447534482420193, max values: 3.1047159712539405, median values: 0.076010793301125, and quantile values: 0.25 -0.503970\n0.50 0.076011\n0.75 0.728279\nName: 8089, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21521517348146754, std values: 0.9417452640434603, min values: -2.769191083399913, max values: 3.2696814875916886, median values: 0.2091921833958205, and quantile values: 0.25 -0.301794\n0.50 0.209192\n0.75 0.804715\nName: 8090, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39219861985880006, std values: 1.4852094136455556, min values: -2.944950884974346, max values: 3.415255285860171, median values: -0.334368486824505, and quantile values: 0.25 -1.795341\n0.50 -0.334368\n0.75 0.804760\nName: 8091, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13722380141852844, std values: 0.8440666894584856, min values: -2.406113529328762, max values: 3.709787027503053, median values: -0.2418491943027241, and quantile values: 0.25 -0.729745\n0.50 -0.241849\n0.75 0.427350\nName: 8092, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09311825374877783, std values: 0.8587143957410741, min values: -2.981718296512785, max values: 5.0, median values: -0.1274935608633788, and quantile values: 0.25 -0.753877\n0.50 -0.127494\n0.75 0.482823\nName: 8093, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5934584328352887, std values: 0.8357943701219546, min values: -2.5743883495350026, max values: 5.0, median values: -0.7321666923153394, and quantile values: 0.25 -1.219095\n0.50 -0.732167\n0.75 -0.051356\nName: 8094, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39669623371962237, std values: 0.9084826398068906, min values: -2.5293911731823453, max values: 3.9905524164385566, median values: -0.3599431279214276, and quantile values: 0.25 -1.034967\n0.50 -0.359943\n0.75 0.186330\nName: 8095, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16096358253670273, std values: 0.8793901778011567, min values: -2.778044916685896, max values: 3.397048482165858, median values: -0.1067942667077926, and quantile values: 0.25 -0.738254\n0.50 -0.106794\n0.75 0.451642\nName: 8096, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04221437096233297, std values: 0.7814730213832095, min values: -2.1103582417935702, max values: 3.569037956734876, median values: 0.0457863309279501, and quantile values: 0.25 -0.458851\n0.50 0.045786\n0.75 0.541683\nName: 8097, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15676183377963662, std values: 0.8721667157181492, min values: -2.239623753934863, max values: 6.0, median values: -0.1569607361413376, and quantile values: 0.25 -0.784151\n0.50 -0.156961\n0.75 0.444851\nName: 8098, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22370174164348822, std values: 0.7725157660830192, min values: -2.6115251494731915, max values: 3.0, median values: 0.1156884614895348, and quantile values: 0.25 -0.291016\n0.50 0.115688\n0.75 0.728991\nName: 8099, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2602264031755722, std values: 0.7317422313789332, min values: -2.009390704747527, max values: 3.362228250221886, median values: 0.2355509500689263, and quantile values: 0.25 -0.216251\n0.50 0.235551\n0.75 0.717292\nName: 8100, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08153238906203766, std values: 0.7814622595694185, min values: -2.4125199145038643, max values: 4.0, median values: -0.1497102914277081, and quantile values: 0.25 -0.586684\n0.50 -0.149710\n0.75 0.387009\nName: 8101, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1612001566796464, std values: 0.7494607286133493, min values: -2.374446373878101, max values: 4.0, median values: 0.2029166556304804, and quantile values: 0.25 -0.334113\n0.50 0.202917\n0.75 0.682627\nName: 8102, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5958553095150599, std values: 1.270390340259336, min values: -2.7542003929097176, max values: 5.0, median values: 0.4968924009850703, and quantile values: 0.25 -0.390903\n0.50 0.496892\n0.75 1.701327\nName: 8103, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2795276781331124, std values: 0.8284583155979074, min values: -2.148081053432388, max values: 3.071284484560209, median values: -0.3602272290674499, and quantile values: 0.25 -0.862646\n0.50 -0.360227\n0.75 0.195297\nName: 8104, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7929616332409922, std values: 0.9578037183123088, min values: -2.8350118695332047, max values: 5.0, median values: -0.9402086900559576, and quantile values: 0.25 -1.509860\n0.50 -0.940209\n0.75 -0.154903\nName: 8105, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3453451675486009, std values: 0.8762428904678493, min values: -2.064625266659693, max values: 4.0, median values: 0.3956634410533358, and quantile values: 0.25 -0.294062\n0.50 0.395663\n0.75 1.021378\nName: 8106, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49165078760369674, std values: 0.8384034041533753, min values: -1.8786831708430165, max values: 6.0, median values: 0.4252042847682216, and quantile values: 0.25 -0.114233\n0.50 0.425204\n0.75 1.096521\nName: 8107, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04828324318529119, std values: 1.1127977541544327, min values: -2.688157591415518, max values: 5.0, median values: -0.0914200055460563, and quantile values: 0.25 -0.894770\n0.50 -0.091420\n0.75 0.804498\nName: 8108, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22341921737716985, std values: 0.8001543229724204, min values: -2.838932175687192, max values: 4.0, median values: 0.3204488370021672, and quantile values: 0.25 -0.309540\n0.50 0.320449\n0.75 0.815650\nName: 8109, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03449683591505448, std values: 0.9640568010005168, min values: -3.24173864501462, max values: 2.887007053971583, median values: 0.1830500893258704, and quantile values: 0.25 -0.550847\n0.50 0.183050\n0.75 0.693559\nName: 8110, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13405596006812723, std values: 0.7451225629300012, min values: -2.077797959314264, max values: 2.783147521866149, median values: 0.0928751432246659, and quantile values: 0.25 -0.350955\n0.50 0.092875\n0.75 0.606062\nName: 8111, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3006108560198919, std values: 1.0861744329545806, min values: -2.642042398333877, max values: 3.155170554159904, median values: 0.4308783851135678, and quantile values: 0.25 -0.288463\n0.50 0.430878\n0.75 1.034691\nName: 8112, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.532064553581105, std values: 0.7582022380239721, min values: -1.936080272882755, max values: 3.224152805256112, median values: 0.6192034979341567, and quantile values: 0.25 0.050812\n0.50 0.619203\n0.75 1.025004\nName: 8113, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23038690938523995, std values: 0.879575313501505, min values: -2.7230534645798463, max values: 3.169414082461771, median values: -0.3267747253256388, and quantile values: 0.25 -0.859013\n0.50 -0.326775\n0.75 0.338448\nName: 8114, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16507812529521584, std values: 0.9405524859512348, min values: -2.8563982925340614, max values: 5.0, median values: 0.1630412447517037, and quantile values: 0.25 -0.338273\n0.50 0.163041\n0.75 0.747107\nName: 8115, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19150079013297253, std values: 1.1500761245706674, min values: -2.981718296512785, max values: 5.0, median values: 0.3755208718709542, and quantile values: 0.25 -0.472121\n0.50 0.375521\n0.75 0.969814\nName: 8116, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08251390083217697, std values: 1.0147868605859622, min values: -2.9472833478224456, max values: 6.0, median values: -0.137249839220889, and quantile values: 0.25 -0.719968\n0.50 -0.137250\n0.75 0.565035\nName: 8117, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21373367585379854, std values: 0.8095850305007095, min values: -2.1775880058603043, max values: 3.5581019918925243, median values: -0.2817188226033678, and quantile values: 0.25 -0.790918\n0.50 -0.281719\n0.75 0.286451\nName: 8118, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.588534373103978, std values: 0.790159537081363, min values: -2.13876869940687, max values: 3.3760121766849016, median values: 0.6628838186030759, and quantile values: 0.25 0.073790\n0.50 0.662884\n0.75 1.161982\nName: 8119, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2943575826952892, std values: 0.9478344073982078, min values: -2.1263725557928383, max values: 3.090297571450676, median values: 0.3346306020245853, and quantile values: 0.25 -0.411678\n0.50 0.334631\n0.75 1.047523\nName: 8120, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4944120791633958, std values: 0.9372559725738817, min values: -2.643887016977268, max values: 6.0, median values: -0.6477617006579433, and quantile values: 0.25 -1.251761\n0.50 -0.647762\n0.75 0.133993\nName: 8121, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18931575462183942, std values: 0.842338249050794, min values: -2.688157591415518, max values: 5.0, median values: -0.2309716211038569, and quantile values: 0.25 -0.788529\n0.50 -0.230972\n0.75 0.330207\nName: 8122, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8329970565673219, std values: 0.9682994308928632, min values: -2.6800544037614658, max values: 4.0, median values: -0.8922706951916847, and quantile values: 0.25 -1.510599\n0.50 -0.892271\n0.75 -0.180728\nName: 8123, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06635624915398194, std values: 0.7963967135460079, min values: -2.087432639025188, max values: 4.0, median values: 0.0058934471103572, and quantile values: 0.25 -0.457596\n0.50 0.005893\n0.75 0.533600\nName: 8124, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13772994413815642, std values: 0.8655207934813964, min values: -2.439930808627264, max values: 4.0, median values: -0.250447544465224, and quantile values: 0.25 -0.797787\n0.50 -0.250448\n0.75 0.451663\nName: 8125, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.275331170626634, std values: 0.8897069865886524, min values: -3.447534482420193, max values: 3.05919958255637, median values: -0.2364987308595884, and quantile values: 0.25 -0.753218\n0.50 -0.236499\n0.75 0.238541\nName: 8126, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2884095645531635, std values: 0.908272499486592, min values: -2.7510671817729784, max values: 6.0, median values: -0.2896214844882971, and quantile values: 0.25 -0.916312\n0.50 -0.289621\n0.75 0.264368\nName: 8127, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9301148689190567, std values: 1.357083150501144, min values: -2.727901130262228, max values: 4.0, median values: -1.5892792413504775, and quantile values: 0.25 -2.140406\n0.50 -1.589279\n0.75 0.360697\nName: 8128, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16324406263230065, std values: 0.8210046380177977, min values: -2.014859573509326, max values: 5.0, median values: -0.1681733133985248, and quantile values: 0.25 -0.757934\n0.50 -0.168173\n0.75 0.368998\nName: 8129, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12508525283602667, std values: 0.8521321228688341, min values: -2.2915911556076085, max values: 3.455472209455805, median values: 0.1066041113140793, and quantile values: 0.25 -0.515537\n0.50 0.106604\n0.75 0.788301\nName: 8130, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19080759893204757, std values: 0.8655738373363167, min values: -2.58513369695146, max values: 4.0, median values: -0.1315481704082946, and quantile values: 0.25 -0.789175\n0.50 -0.131548\n0.75 0.445916\nName: 8131, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7218049646195701, std values: 0.978994793218501, min values: -2.271143658239337, max values: 6.0, median values: 0.8639450166789207, and quantile values: 0.25 0.066695\n0.50 0.863945\n0.75 1.438097\nName: 8132, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6244884094577802, std values: 0.9852819896336649, min values: -2.497627580948261, max values: 3.05919958255637, median values: 0.8325824874275604, and quantile values: 0.25 0.144671\n0.50 0.832582\n0.75 1.301623\nName: 8133, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18143092757644322, std values: 0.9208203551856677, min values: -2.7542003929097176, max values: 5.0, median values: -0.2679004428877983, and quantile values: 0.25 -0.806963\n0.50 -0.267900\n0.75 0.445287\nName: 8134, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.023668485831550793, std values: 1.0744089717180367, min values: -2.58513369695146, max values: 4.0, median values: 0.0712236645109304, and quantile values: 0.25 -0.735724\n0.50 0.071224\n0.75 0.858021\nName: 8135, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.281731849795719, std values: 0.8363891834916655, min values: -2.2269541150421013, max values: 5.0, median values: -0.3645110318202356, and quantile values: 0.25 -0.935506\n0.50 -0.364511\n0.75 0.290657\nName: 8136, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5648971686380244, std values: 1.0436320428031243, min values: -2.525362520654854, max values: 5.0, median values: 0.4827879332977048, and quantile values: 0.25 -0.111295\n0.50 0.482788\n0.75 1.271846\nName: 8137, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07117855839025718, std values: 0.8530345307998941, min values: -2.419133598913117, max values: 3.0, median values: -0.0816344866823523, and quantile values: 0.25 -0.669175\n0.50 -0.081634\n0.75 0.448411\nName: 8138, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.056787830426288495, std values: 1.0388970884814086, min values: -2.815821936576896, max values: 3.1290445144064547, median values: 0.0736239641056812, and quantile values: 0.25 -0.638077\n0.50 0.073624\n0.75 0.693137\nName: 8139, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5894548512862486, std values: 1.147285356887556, min values: -2.5293911731823453, max values: 3.0, median values: -0.6743168935902103, and quantile values: 0.25 -1.478776\n0.50 -0.674317\n0.75 0.204387\nName: 8140, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1705624144021704, std values: 0.908190942736911, min values: -1.9064513164150685, max values: 3.0, median values: -0.3313121676475085, and quantile values: 0.25 -0.860929\n0.50 -0.331312\n0.75 0.418672\nName: 8141, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0802272397836186, std values: 0.8598578031514944, min values: -2.1238235090034925, max values: 5.0, median values: 0.0974810561161007, and quantile values: 0.25 -0.529812\n0.50 0.097481\n0.75 0.672624\nName: 8142, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6148656317037576, std values: 1.0543680904987822, min values: -2.4823451998031074, max values: 3.1175233493066874, median values: 0.757009508092625, and quantile values: 0.25 -0.052303\n0.50 0.757010\n0.75 1.416890\nName: 8143, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42098964744918643, std values: 0.9885377634668787, min values: -2.887007053971579, max values: 3.216771431244405, median values: 0.4058395860715194, and quantile values: 0.25 -0.105617\n0.50 0.405840\n0.75 1.008747\nName: 8144, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08533296526302366, std values: 0.8963207747389642, min values: -2.6652153608723106, max values: 5.0, median values: -0.0400528676280221, and quantile values: 0.25 -0.700156\n0.50 -0.040053\n0.75 0.546555\nName: 8145, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2710039721410434, std values: 0.7946241063292463, min values: -2.688157591415518, max values: 5.0, median values: 0.2344090337070552, and quantile values: 0.25 -0.212597\n0.50 0.234409\n0.75 0.744234\nName: 8146, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4163536292169357, std values: 0.831536552999101, min values: -2.6820581866633817, max values: 3.670892362631932, median values: -0.445824508476138, and quantile values: 0.25 -0.943041\n0.50 -0.445825\n0.75 0.053061\nName: 8147, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23553747694303168, std values: 0.7550168173596491, min values: -2.2161166709808824, max values: 6.0, median values: 0.1738767532948017, and quantile values: 0.25 -0.296999\n0.50 0.173877\n0.75 0.750834\nName: 8148, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19633036890880126, std values: 0.9585728320656746, min values: -2.5859127503381347, max values: 4.278004674434932, median values: -0.1612212581034421, and quantile values: 0.25 -0.869381\n0.50 -0.161221\n0.75 0.455335\nName: 8149, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21636270952663297, std values: 0.9807029854597717, min values: -2.739804196611005, max values: 6.0, median values: 0.2760790315744853, and quantile values: 0.25 -0.443226\n0.50 0.276079\n0.75 0.964081\nName: 8150, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.9515647523072455, std values: 0.9839442136265357, min values: -2.3318239631491724, max values: 5.0, median values: 0.9719726908534008, and quantile values: 0.25 0.318451\n0.50 0.971973\n0.75 1.605199\nName: 8151, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36010453360504774, std values: 1.0193771485440462, min values: -2.6899145007874274, max values: 3.667275230673496, median values: -0.3664639650354421, and quantile values: 0.25 -1.160253\n0.50 -0.366464\n0.75 0.367392\nName: 8152, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08963604898226026, std values: 0.791173758913417, min values: -2.156806272086999, max values: 3.3636961113187773, median values: 0.0484697058821866, and quantile values: 0.25 -0.418642\n0.50 0.048470\n0.75 0.554647\nName: 8153, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.014615698714846364, std values: 0.9196584494830007, min values: -2.488388563458745, max values: 4.0, median values: 0.0365470781955482, and quantile values: 0.25 -0.658567\n0.50 0.036547\n0.75 0.568844\nName: 8154, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28079461727035604, std values: 1.269861942415889, min values: -2.9029979285382743, max values: 3.0, median values: -0.2128785858541805, and quantile values: 0.25 -1.298449\n0.50 -0.212879\n0.75 0.772472\nName: 8155, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5200624253978275, std values: 0.8754321059018624, min values: -2.212004168819108, max values: 3.528773265847577, median values: 0.603589980319825, and quantile values: 0.25 -0.122020\n0.50 0.603590\n0.75 1.219442\nName: 8156, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19420732778614969, std values: 0.8894885249778643, min values: -2.439930808627264, max values: 4.0, median values: -0.2805386388318838, and quantile values: 0.25 -0.900254\n0.50 -0.280539\n0.75 0.407803\nName: 8157, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22232983288032357, std values: 0.9203155627405402, min values: -2.6800544037614658, max values: 4.0, median values: -0.3126041685874789, and quantile values: 0.25 -0.807459\n0.50 -0.312604\n0.75 0.358758\nName: 8158, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11321089620308936, std values: 0.9162554676539443, min values: -2.13830921059823, max values: 6.0, median values: -0.0134395893440111, and quantile values: 0.25 -0.584820\n0.50 -0.013440\n0.75 0.776743\nName: 8159, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4064876379557295, std values: 0.9675845101953443, min values: -2.1139459297101, max values: 3.2071942083719924, median values: 0.4137171612790572, and quantile values: 0.25 -0.306335\n0.50 0.413717\n0.75 1.182013\nName: 8160, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44606299598774335, std values: 0.927303903435404, min values: -2.0688112245428205, max values: 3.5908526919299577, median values: -0.6019744279080987, and quantile values: 0.25 -1.194727\n0.50 -0.601974\n0.75 0.165101\nName: 8161, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5445041785512749, std values: 1.920510472282454, min values: -3.3690402064071137, max values: 4.243835016543704, median values: -1.6526653539947125, and quantile values: 0.25 -2.132073\n0.50 -1.652665\n0.75 0.959053\nName: 8162, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03962421653515328, std values: 0.7414709906579093, min values: -2.475778245535816, max values: 3.0, median values: 0.0005783256064768, and quantile values: 0.25 -0.426260\n0.50 0.000578\n0.75 0.468111\nName: 8163, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4093103347000252, std values: 1.0273823344486677, min values: -2.143452414691541, max values: 3.627976272701048, median values: 0.3490205721240868, and quantile values: 0.25 -0.364168\n0.50 0.349021\n0.75 1.104663\nName: 8164, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.158648803717635, std values: 0.8170180223786693, min values: -2.2038853164231766, max values: 3.8226908388056136, median values: -0.2069943687502159, and quantile values: 0.25 -0.694540\n0.50 -0.206994\n0.75 0.282837\nName: 8165, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16126145164550743, std values: 0.810665832815676, min values: -2.6117120822772133, max values: 5.0, median values: -0.2287767855528766, and quantile values: 0.25 -0.728093\n0.50 -0.228777\n0.75 0.327947\nName: 8166, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8780231137407627, std values: 1.5490819630818324, min values: -3.242093130849769, max values: 3.9048392686725855, median values: -1.7259573452953794, and quantile values: 0.25 -2.161269\n0.50 -1.725957\n0.75 0.515510\nName: 8167, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.006820331948598633, std values: 0.885591138467647, min values: -2.8164291268114208, max values: 3.2906806286429298, median values: -0.023823759218665, and quantile values: 0.25 -0.534063\n0.50 -0.023824\n0.75 0.582633\nName: 8168, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04365078248475248, std values: 0.9629673399652051, min values: -2.860922438481449, max values: 3.162318759909359, median values: 0.1176710836142938, and quantile values: 0.25 -0.563102\n0.50 0.117671\n0.75 0.709458\nName: 8169, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3494519252990971, std values: 1.0681925274512647, min values: -2.7211321814067784, max values: 3.319774799707247, median values: -0.3931038606002667, and quantile values: 0.25 -1.135768\n0.50 -0.393104\n0.75 0.411738\nName: 8170, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3106532637226835, std values: 0.7862973888044107, min values: -2.45229857681487, max values: 3.0, median values: 0.346133364753615, and quantile values: 0.25 -0.214340\n0.50 0.346133\n0.75 0.863245\nName: 8171, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3454444860920245, std values: 0.8359811596278305, min values: -2.572123985342288, max values: 4.0, median values: -0.3993160063864708, and quantile values: 0.25 -0.943816\n0.50 -0.399316\n0.75 0.165074\nName: 8172, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4266054162294324, std values: 0.8084547407442421, min values: -2.0898718573687374, max values: 4.0, median values: -0.5104689222646682, and quantile values: 0.25 -0.987492\n0.50 -0.510469\n0.75 -0.011760\nName: 8173, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0715292802105777, std values: 0.7870133731562065, min values: -2.6278943940336483, max values: 4.0, median values: -0.149598893674371, and quantile values: 0.25 -0.595309\n0.50 -0.149599\n0.75 0.407931\nName: 8174, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.017048688977405073, std values: 1.0166398077258938, min values: -2.879968592907284, max values: 4.0, median values: 0.1398864272392421, and quantile values: 0.25 -0.585343\n0.50 0.139886\n0.75 0.653643\nName: 8175, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14012153234078342, std values: 0.7697777319677349, min values: -2.142854198138545, max values: 5.0, median values: -0.1944059221534339, and quantile values: 0.25 -0.655019\n0.50 -0.194406\n0.75 0.312922\nName: 8176, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03921562079679722, std values: 0.7583782740793095, min values: -2.0091350987501504, max values: 3.528773265847577, median values: 0.1078639629530854, and quantile values: 0.25 -0.445313\n0.50 0.107864\n0.75 0.529081\nName: 8177, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1735226310456258, std values: 0.7625716947436694, min values: -2.085975048264995, max values: 4.0, median values: -0.2694441390365798, and quantile values: 0.25 -0.728402\n0.50 -0.269444\n0.75 0.336991\nName: 8178, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5701087516493006, std values: 0.858917700129621, min values: -2.4540853055744134, max values: 3.4566816047670264, median values: 0.6210210012165298, and quantile values: 0.25 -0.028232\n0.50 0.621021\n0.75 1.155139\nName: 8179, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3629581971242745, std values: 1.1474987220508723, min values: -2.688157591415518, max values: 4.0, median values: -0.2193058853671223, and quantile values: 0.25 -1.094235\n0.50 -0.219306\n0.75 0.531421\nName: 8180, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06474160008370278, std values: 0.8341009405701513, min values: -2.419133598913117, max values: 4.026668017837955, median values: -0.1416649513143701, and quantile values: 0.25 -0.681375\n0.50 -0.141665\n0.75 0.461710\nName: 8181, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21424416832348653, std values: 0.9126895158114081, min values: -3.0223671288921072, max values: 3.02009942896863, median values: -0.2461832712887182, and quantile values: 0.25 -0.807230\n0.50 -0.246183\n0.75 0.404004\nName: 8182, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.052216049191065685, std values: 1.479794310238087, min values: -2.873069976951463, max values: 3.281452258958016, median values: 0.3134139840724249, and quantile values: 0.25 -1.009225\n0.50 0.313414\n0.75 1.271664\nName: 8183, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3308725395170513, std values: 0.8206507518085895, min values: -2.5825978442440407, max values: 6.0, median values: 0.4031839908443502, and quantile values: 0.25 -0.211681\n0.50 0.403184\n0.75 0.880471\nName: 8184, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.007645459841090938, std values: 0.9512392543389175, min values: -2.933035609461076, max values: 5.0, median values: 0.1484293290690783, and quantile values: 0.25 -0.450381\n0.50 0.148429\n0.75 0.585997\nName: 8185, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2532633779410379, std values: 1.267710680323442, min values: -2.9622221028070275, max values: 6.0, median values: 0.4129669198323393, and quantile values: 0.25 -0.384075\n0.50 0.412967\n0.75 1.137539\nName: 8186, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24578594588164152, std values: 0.8763100885606443, min values: -2.5293911731823453, max values: 3.349054967837474, median values: -0.291495152402816, and quantile values: 0.25 -0.787850\n0.50 -0.291495\n0.75 0.327273\nName: 8187, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31372565466510993, std values: 0.8405164507617063, min values: -2.5879430435308, max values: 3.784832159836258, median values: 0.366434513175264, and quantile values: 0.25 -0.250473\n0.50 0.366435\n0.75 0.944072\nName: 8188, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36341900212796563, std values: 0.8458661028700126, min values: -2.7428415536925543, max values: 5.0, median values: -0.4272722888004235, and quantile values: 0.25 -0.917905\n0.50 -0.427272\n0.75 0.164023\nName: 8189, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6906623992568177, std values: 0.9760999541582073, min values: -2.7428415536925543, max values: 5.0, median values: -0.7914353951689606, and quantile values: 0.25 -1.403934\n0.50 -0.791435\n0.75 -0.080971\nName: 8190, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3632549355107868, std values: 0.8287116556800742, min values: -2.030139687780874, max values: 3.163266084685921, median values: 0.3593632154806356, and quantile values: 0.25 -0.172197\n0.50 0.359363\n0.75 0.900171\nName: 8191, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2979988224226784, std values: 1.1441567018395422, min values: -2.643887016977268, max values: 6.0, median values: 0.2880577006108245, and quantile values: 0.25 -0.515537\n0.50 0.288058\n0.75 1.196949\nName: 8192, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41762950461096243, std values: 0.8131849999433446, min values: -2.10781213968935, max values: 3.090297571450676, median values: -0.5344438352347826, and quantile values: 0.25 -1.037848\n0.50 -0.534444\n0.75 0.085187\nName: 8193, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.039445423099992466, std values: 0.8102622347858677, min values: -2.730840794324401, max values: 3.147276669305989, median values: 0.0285346001127841, and quantile values: 0.25 -0.559063\n0.50 0.028535\n0.75 0.505190\nName: 8194, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0014335150235219292, std values: 0.9094580377740864, min values: -2.769191083399913, max values: 4.243835016543704, median values: 0.0560667703971561, and quantile values: 0.25 -0.565584\n0.50 0.056067\n0.75 0.613690\nName: 8195, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4138105439897303, std values: 0.9198212643160577, min values: -2.684072796644972, max values: 6.0, median values: 0.5266453352483811, and quantile values: 0.25 -0.154353\n0.50 0.526645\n0.75 1.072445\nName: 8196, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06941992510864611, std values: 0.8635699090234894, min values: -2.0360128381441656, max values: 5.0, median values: -0.0133845057638085, and quantile values: 0.25 -0.517398\n0.50 -0.013385\n0.75 0.654297\nName: 8197, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6050640531105327, std values: 0.9106072506607729, min values: -2.919359491767569, max values: 6.0, median values: 0.6887334994255271, and quantile values: 0.25 0.035175\n0.50 0.688733\n0.75 1.246833\nName: 8198, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3777951264729999, std values: 0.773026354301921, min values: -1.973111102895715, max values: 5.0, median values: 0.4364046900082153, and quantile values: 0.25 -0.128332\n0.50 0.436405\n0.75 0.850736\nName: 8199, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32740943353544155, std values: 0.8499175626387497, min values: -2.104667097879677, max values: 4.0, median values: -0.4280233182531652, and quantile values: 0.25 -0.944588\n0.50 -0.428023\n0.75 0.182834\nName: 8200, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.192281488454614, std values: 1.0054497571951708, min values: -2.1447730697608054, max values: 3.784832159836258, median values: 0.0438797174403676, and quantile values: 0.25 -0.545692\n0.50 0.043880\n0.75 0.862744\nName: 8201, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1022158854726463, std values: 0.9975435506469689, min values: -2.507084845405409, max values: 3.8226908388056136, median values: 0.1061980963760109, and quantile values: 0.25 -0.675692\n0.50 0.106198\n0.75 0.895193\nName: 8202, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.005554865301258067, std values: 0.8504607749231472, min values: -2.2323813156595933, max values: 3.0, median values: -0.0139078014390389, and quantile values: 0.25 -0.652298\n0.50 -0.013908\n0.75 0.676912\nName: 8203, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1674330435939798, std values: 0.9450175256143071, min values: -2.5832619696830608, max values: 6.0, median values: 0.2122307103715563, and quantile values: 0.25 -0.536287\n0.50 0.212231\n0.75 0.891108\nName: 8204, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3358081892443473, std values: 0.8245270693501396, min values: -2.8843374390620142, max values: 6.0, median values: 0.3710860246414105, and quantile values: 0.25 -0.197032\n0.50 0.371086\n0.75 0.852298\nName: 8205, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3728788410447652, std values: 0.9722669687180197, min values: -2.748993280390358, max values: 3.9048392686725855, median values: 0.3697191380825914, and quantile values: 0.25 -0.285483\n0.50 0.369719\n0.75 1.002640\nName: 8206, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14588353223908132, std values: 1.1004878600532857, min values: -2.788272971802125, max values: 6.0, median values: 0.0074922080086377, and quantile values: 0.25 -0.648441\n0.50 0.007492\n0.75 0.558811\nName: 8207, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10651332872401019, std values: 0.9837186608077474, min values: -2.58513369695146, max values: 4.0, median values: -0.0900271171428341, and quantile values: 0.25 -0.826448\n0.50 -0.090027\n0.75 0.607518\nName: 8208, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.011445848020135105, std values: 1.2157924149598014, min values: -2.6660404517971856, max values: 4.0, median values: 0.0783101755205172, and quantile values: 0.25 -0.997263\n0.50 0.078310\n0.75 0.936242\nName: 8209, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21412099529491468, std values: 1.0003893580983982, min values: -2.6270253558526173, max values: 4.0, median values: -0.0819384339846781, and quantile values: 0.25 -0.839778\n0.50 -0.081938\n0.75 0.504533\nName: 8210, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3469582872894871, std values: 0.8395033474150168, min values: -1.840316261149325, max values: 5.0, median values: 0.3518356154316016, and quantile values: 0.25 -0.242726\n0.50 0.351836\n0.75 0.875814\nName: 8211, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.002918492810211352, std values: 0.9373998396188455, min values: -2.537573835824454, max values: 6.0, median values: -0.0383716773295559, and quantile values: 0.25 -0.745893\n0.50 -0.038372\n0.75 0.700476\nName: 8212, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07201560960858239, std values: 0.8612485574087391, min values: -1.985852291132009, max values: 3.3760121766849016, median values: 0.024787919971458, and quantile values: 0.25 -0.619948\n0.50 0.024788\n0.75 0.666131\nName: 8213, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20683758562904994, std values: 0.8856862766085917, min values: -2.87684958111886, max values: 3.0315977762793005, median values: -0.2400320281952243, and quantile values: 0.25 -0.861476\n0.50 -0.240032\n0.75 0.383801\nName: 8214, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3319606000665567, std values: 0.9183472993689258, min values: -2.215291168881953, max values: 3.518664430018096, median values: 0.224654319674101, and quantile values: 0.25 -0.374959\n0.50 0.224654\n0.75 0.992108\nName: 8215, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14732380134658907, std values: 0.8636680392557565, min values: -2.688157591415518, max values: 5.0, median values: -0.1657716857165576, and quantile values: 0.25 -0.733885\n0.50 -0.165772\n0.75 0.346274\nName: 8216, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07324658718680348, std values: 0.7600117972758945, min values: -2.7648443048846945, max values: 3.0362913622068968, median values: 0.1231866392905817, and quantile values: 0.25 -0.433599\n0.50 0.123187\n0.75 0.573518\nName: 8217, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3113396611581332, std values: 1.0621054199036928, min values: -2.7542003929097176, max values: 5.0, median values: -0.4171392235364167, and quantile values: 0.25 -1.054835\n0.50 -0.417139\n0.75 0.436171\nName: 8218, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3805145254183367, std values: 0.8247942503585718, min values: -1.9347472913707768, max values: 5.0, median values: 0.4335209754677391, and quantile values: 0.25 -0.151221\n0.50 0.433521\n0.75 0.901080\nName: 8219, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07777505424042014, std values: 0.7910329293277653, min values: -2.1670801557558934, max values: 4.0, median values: 0.0839833685517287, and quantile values: 0.25 -0.445247\n0.50 0.083983\n0.75 0.592681\nName: 8220, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.020068078711924432, std values: 0.722510309701999, min values: -2.7314147016889114, max values: 3.0, median values: -0.0025997984198841, and quantile values: 0.25 -0.488148\n0.50 -0.002600\n0.75 0.420317\nName: 8221, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.053172664251627054, std values: 0.9409078632107364, min values: -2.060926614662576, max values: 3.4758930087721422, median values: -0.1907945385057393, and quantile values: 0.25 -0.763395\n0.50 -0.190795\n0.75 0.531258\nName: 8222, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27118852239462504, std values: 1.0263928763919545, min values: -2.475272102106495, max values: 4.0, median values: 0.1660118592566135, and quantile values: 0.25 -0.527152\n0.50 0.166012\n0.75 1.000173\nName: 8223, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07309522483428993, std values: 0.8372596482162216, min values: -2.096272675358738, max values: 5.0, median values: -0.0552856219506503, and quantile values: 0.25 -0.695241\n0.50 -0.055286\n0.75 0.464794\nName: 8224, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3423843088766543, std values: 0.8346638013948897, min values: -2.8843374390620142, max values: 6.0, median values: -0.4266768160907657, and quantile values: 0.25 -1.007557\n0.50 -0.426677\n0.75 0.212793\nName: 8225, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21595933619454677, std values: 0.9807557571820033, min values: -2.607565022042742, max values: 4.0, median values: 0.322788405885489, and quantile values: 0.25 -0.412945\n0.50 0.322788\n0.75 0.965549\nName: 8226, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01651160725868266, std values: 0.8930727996097886, min values: -3.002493140275396, max values: 5.0, median values: -0.0454555150904895, and quantile values: 0.25 -0.585960\n0.50 -0.045456\n0.75 0.606371\nName: 8227, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1275171467199322, std values: 0.7962994347987433, min values: -2.196708653609315, max values: 6.0, median values: -0.1938446594067474, and quantile values: 0.25 -0.651945\n0.50 -0.193845\n0.75 0.363167\nName: 8228, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07354693017318124, std values: 0.8007765597982943, min values: -2.0994996460183817, max values: 4.0, median values: 0.0167812857714182, and quantile values: 0.25 -0.436354\n0.50 0.016781\n0.75 0.549802\nName: 8229, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5409506691466792, std values: 0.9484400973177088, min values: -2.087432639025188, max values: 4.0, median values: 0.5652609482896623, and quantile values: 0.25 -0.170436\n0.50 0.565261\n0.75 1.288532\nName: 8230, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06533768978715698, std values: 1.6988126981927283, min values: -2.8834699678265463, max values: 5.0, median values: -0.1541857536426946, and quantile values: 0.25 -1.738925\n0.50 -0.154186\n0.75 1.368521\nName: 8231, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4810301092358508, std values: 0.8694593140744186, min values: -2.5445249319512966, max values: 3.569037956734876, median values: 0.4932734572620175, and quantile values: 0.25 -0.100771\n0.50 0.493273\n0.75 1.081639\nName: 8232, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11625397225520832, std values: 1.1859850789807793, min values: -2.778044916685896, max values: 3.0, median values: 0.1393024393154617, and quantile values: 0.25 -0.777227\n0.50 0.139302\n0.75 0.703753\nName: 8233, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04163688531385016, std values: 0.9970742296007359, min values: -3.307038206418975, max values: 3.0418703198091483, median values: 0.1486520875778371, and quantile values: 0.25 -0.612826\n0.50 0.148652\n0.75 0.747643\nName: 8234, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18974455652988595, std values: 0.8761005957799315, min values: -2.510124273981921, max values: 3.784832159836258, median values: 0.2078669009503093, and quantile values: 0.25 -0.289120\n0.50 0.207867\n0.75 0.735544\nName: 8235, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05407224051735572, std values: 1.053299987408651, min values: -2.608390851963037, max values: 5.0, median values: 0.0513834208000208, and quantile values: 0.25 -0.560550\n0.50 0.051383\n0.75 0.749895\nName: 8236, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3072907782945391, std values: 0.9131072302200555, min values: -2.1730882470106176, max values: 4.0, median values: -0.4293187640909673, and quantile values: 0.25 -0.966367\n0.50 -0.429319\n0.75 0.223685\nName: 8237, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19968899587344516, std values: 0.803150572491104, min values: -2.5879430435308, max values: 3.1801075704642923, median values: -0.1599284344900005, and quantile values: 0.25 -0.743544\n0.50 -0.159928\n0.75 0.304488\nName: 8238, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21745689007263497, std values: 0.9269575015196092, min values: -2.331179176140504, max values: 3.319774799707247, median values: -0.197381641796078, and quantile values: 0.25 -0.877119\n0.50 -0.197382\n0.75 0.333058\nName: 8239, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14878162046858373, std values: 0.7607622034863784, min values: -2.024977263287256, max values: 3.0838352979250487, median values: 0.0981421976580248, and quantile values: 0.25 -0.361154\n0.50 0.098142\n0.75 0.649814\nName: 8240, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27834781022515376, std values: 0.8986082539483098, min values: -2.869671295224012, max values: 6.0, median values: -0.2895507297143393, and quantile values: 0.25 -0.858739\n0.50 -0.289551\n0.75 0.294264\nName: 8241, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14471855472497985, std values: 0.9324566988024986, min values: -2.6404955031131814, max values: 5.0, median values: 0.2388700780028966, and quantile values: 0.25 -0.455396\n0.50 0.238870\n0.75 0.803535\nName: 8242, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47216416815949075, std values: 0.9829863233022897, min values: -2.7314147016889114, max values: 3.0, median values: 0.4557930772901606, and quantile values: 0.25 -0.257503\n0.50 0.455793\n0.75 1.307823\nName: 8243, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06488076885841906, std values: 1.1086555728154346, min values: -2.955641696055872, max values: 3.281452258958016, median values: 0.0108957221390225, and quantile values: 0.25 -0.753594\n0.50 0.010896\n0.75 0.842917\nName: 8244, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2431146785772306, std values: 0.876329817968967, min values: -2.5953860446419177, max values: 5.0, median values: -0.2625717381787319, and quantile values: 0.25 -0.785973\n0.50 -0.262572\n0.75 0.300211\nName: 8245, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4019953638233752, std values: 0.979571739710108, min values: -2.679056533720636, max values: 5.0, median values: -0.4299149110662434, and quantile values: 0.25 -1.031420\n0.50 -0.429915\n0.75 0.232952\nName: 8246, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20236893268878883, std values: 1.0345559557988455, min values: -2.8164291268114208, max values: 3.598076523509904, median values: -0.0723847446135181, and quantile values: 0.25 -0.875098\n0.50 -0.072385\n0.75 0.490218\nName: 8247, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2619773368925596, std values: 0.9282586362727056, min values: -2.362995617296248, max values: 5.0, median values: 0.3470368748538012, and quantile values: 0.25 -0.366709\n0.50 0.347037\n0.75 0.906632\nName: 8248, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35435169779898223, std values: 0.7493235338608101, min values: -1.9360016274207128, max values: 3.0, median values: 0.3643594881709835, and quantile values: 0.25 -0.104132\n0.50 0.364359\n0.75 0.857384\nName: 8249, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.012300015024513864, std values: 0.8488020946129163, min values: -2.055731470671593, max values: 6.0, median values: -0.0851994415565678, and quantile values: 0.25 -0.591762\n0.50 -0.085199\n0.75 0.527777\nName: 8250, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16714492215685148, std values: 0.7860911651548439, min values: -1.9340318923923567, max values: 6.0, median values: 0.2329519398231139, and quantile values: 0.25 -0.392236\n0.50 0.232952\n0.75 0.720932\nName: 8251, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4832265735442829, std values: 0.9270866321637086, min values: -2.202326176624768, max values: 3.3760121766849016, median values: -0.6272447838564116, and quantile values: 0.25 -1.246652\n0.50 -0.627245\n0.75 0.134604\nName: 8252, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3343114800409165, std values: 1.3067575600586894, min values: -2.697026421440041, max values: 4.0, median values: -0.1353270121159388, and quantile values: 0.25 -1.660828\n0.50 -0.135327\n0.75 0.578037\nName: 8253, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3358331833043663, std values: 0.8483000328983951, min values: -2.622408470084112, max values: 3.667275230673496, median values: -0.3767918747440256, and quantile values: 0.25 -0.856520\n0.50 -0.376792\n0.75 0.168872\nName: 8254, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14907130830784612, std values: 0.7819135709100431, min values: -2.566149343918479, max values: 6.0, median values: -0.2086830521561426, and quantile values: 0.25 -0.656995\n0.50 -0.208683\n0.75 0.282358\nName: 8255, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1454401310139989, std values: 0.9491079917397869, min values: -2.9472833478224456, max values: 6.0, median values: 0.1126532991113206, and quantile values: 0.25 -0.369765\n0.50 0.112653\n0.75 0.723235\nName: 8256, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7987427012613691, std values: 0.9860361696483184, min values: -2.5563022890751474, max values: 4.0, median values: 0.8979837469512362, and quantile values: 0.25 0.120944\n0.50 0.897984\n0.75 1.557986\nName: 8257, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07482079478922199, std values: 0.8466735599222982, min values: -2.158148574998896, max values: 3.5581019918925243, median values: -0.2305191042578847, and quantile values: 0.25 -0.662918\n0.50 -0.230519\n0.75 0.466882\nName: 8258, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40181743733136394, std values: 0.7806346022456784, min values: -2.074944808708433, max values: 6.0, median values: -0.5162660615497715, and quantile values: 0.25 -0.947777\n0.50 -0.516266\n0.75 0.022887\nName: 8259, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08286489377149334, std values: 0.9341334801256728, min values: -2.382297109559137, max values: 3.1227871431249503, median values: -0.0319592897204649, and quantile values: 0.25 -0.604696\n0.50 -0.031959\n0.75 0.715870\nName: 8260, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10073916811770746, std values: 0.7931931412003019, min values: -2.209826040384377, max values: 2.890580632480353, median values: 0.1195914363670775, and quantile values: 0.25 -0.469929\n0.50 0.119591\n0.75 0.660382\nName: 8261, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4454058951511398, std values: 0.9949051761344467, min values: -2.92272757463548, max values: 6.0, median values: -0.3561749981589187, and quantile values: 0.25 -1.031170\n0.50 -0.356175\n0.75 0.164571\nName: 8262, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38247642755035666, std values: 1.0999174896188637, min values: -2.608390851963037, max values: 5.0, median values: -0.4706932420781427, and quantile values: 0.25 -1.134614\n0.50 -0.470693\n0.75 0.354532\nName: 8263, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8832472396039062, std values: 0.9116662541428165, min values: -2.099713839971814, max values: 5.0, median values: 0.988434265043841, and quantile values: 0.25 0.340695\n0.50 0.988434\n0.75 1.519610\nName: 8264, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12694900958734628, std values: 0.7355076557179999, min values: -2.8451834694312192, max values: 3.0, median values: 0.1489026997180626, and quantile values: 0.25 -0.301943\n0.50 0.148903\n0.75 0.576697\nName: 8265, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.046267971849027784, std values: 0.8694924835763468, min values: -2.0540666893857096, max values: 4.243835016543704, median values: -0.0467512392078001, and quantile values: 0.25 -0.681872\n0.50 -0.046751\n0.75 0.513352\nName: 8266, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.338224153415038, std values: 0.8905853764350143, min values: -2.4662681870657748, max values: 5.0, median values: 0.3732896912485932, and quantile values: 0.25 -0.291246\n0.50 0.373290\n0.75 1.002628\nName: 8267, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03005025674048562, std values: 0.7895493081057919, min values: -2.271143658239337, max values: 6.0, median values: -0.1016295062825215, and quantile values: 0.25 -0.591525\n0.50 -0.101630\n0.75 0.484955\nName: 8268, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4489832199939657, std values: 0.8142082188975838, min values: -2.5825978442440407, max values: 6.0, median values: 0.4081109577799596, and quantile values: 0.25 -0.041459\n0.50 0.408111\n0.75 0.972137\nName: 8269, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0831685854268964, std values: 0.8001448054354259, min values: -2.564449278715455, max values: 3.216771431244405, median values: -0.0290036028149632, and quantile values: 0.25 -0.621221\n0.50 -0.029004\n0.75 0.420296\nName: 8270, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0523793679390828, std values: 0.9165329020756191, min values: -2.6404955031131814, max values: 5.0, median values: -0.1011035641842197, and quantile values: 0.25 -0.647524\n0.50 -0.101104\n0.75 0.531746\nName: 8271, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18799460867978987, std values: 0.6871696189045632, min values: -1.9142186547654445, max values: 5.0, median values: 0.1774770613919128, and quantile values: 0.25 -0.235016\n0.50 0.177477\n0.75 0.584446\nName: 8272, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6992236236900088, std values: 0.8048277947101841, min values: -2.119621483749997, max values: 3.627976272701048, median values: 0.7765875042988103, and quantile values: 0.25 0.196815\n0.50 0.776588\n0.75 1.248332\nName: 8273, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18499513668524536, std values: 0.8925558456600199, min values: -1.982468052069343, max values: 3.250922035035844, median values: -0.3198419930408966, and quantile values: 0.25 -0.855940\n0.50 -0.319842\n0.75 0.352187\nName: 8274, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.023480834328222844, std values: 0.9274024756575558, min values: -2.0692886635397403, max values: 3.598076523509904, median values: 0.0588579382120284, and quantile values: 0.25 -0.722719\n0.50 0.058858\n0.75 0.722147\nName: 8275, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11266468563482442, std values: 0.8880343856228852, min values: -2.138497598687032, max values: 3.060952636712705, median values: -0.1740418605398709, and quantile values: 0.25 -0.844541\n0.50 -0.174042\n0.75 0.534663\nName: 8276, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4103506515033453, std values: 0.9194161547845142, min values: -2.610097161345549, max values: 4.0, median values: -0.4866767929561058, and quantile values: 0.25 -0.984492\n0.50 -0.486677\n0.75 0.097861\nName: 8277, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10442713890142617, std values: 1.3193507905095325, min values: -3.0148736195915964, max values: 3.9905524164385566, median values: 0.3946874020717845, and quantile values: 0.25 -0.463966\n0.50 0.394687\n0.75 0.922881\nName: 8278, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.407016585403634, std values: 1.022038955735729, min values: -2.1139459297101, max values: 4.0, median values: -0.5207809485773319, and quantile values: 0.25 -1.257812\n0.50 -0.520781\n0.75 0.298259\nName: 8279, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5711520956750061, std values: 1.1752178602084649, min values: -2.673124659932621, max values: 6.0, median values: 0.6418369016779772, and quantile values: 0.25 -0.205926\n0.50 0.641837\n0.75 1.502532\nName: 8280, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08570986958204438, std values: 0.8803436787153925, min values: -2.0397470924909658, max values: 5.0, median values: -0.2380058970967175, and quantile values: 0.25 -0.724033\n0.50 -0.238006\n0.75 0.478233\nName: 8281, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03577898985156129, std values: 0.7811286023316915, min values: -2.300042081328127, max values: 4.0, median values: -0.101601824419855, and quantile values: 0.25 -0.551288\n0.50 -0.101602\n0.75 0.426441\nName: 8282, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35347147327698725, std values: 1.0069809850042393, min values: -3.447534482420193, max values: 3.4217036547572275, median values: 0.4919365094315381, and quantile values: 0.25 -0.310754\n0.50 0.491937\n0.75 1.092563\nName: 8283, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12133316966693401, std values: 0.7723619026469505, min values: -2.688157591415518, max values: 5.0, median values: 0.1182534469547592, and quantile values: 0.25 -0.364580\n0.50 0.118253\n0.75 0.586717\nName: 8284, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3158925760158714, std values: 0.7886583953286725, min values: -2.5689076212724418, max values: 5.0, median values: 0.2615118816551232, and quantile values: 0.25 -0.227734\n0.50 0.261512\n0.75 0.847601\nName: 8285, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3689910224884009, std values: 0.886847688153725, min values: -2.115616749554893, max values: 3.1841025362512254, median values: 0.4820790952298368, and quantile values: 0.25 -0.257985\n0.50 0.482079\n0.75 1.013245\nName: 8286, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19055500704106126, std values: 0.7635542471173205, min values: -2.7428415536925543, max values: 3.3483277116524426, median values: 0.1755798437716513, and quantile values: 0.25 -0.290211\n0.50 0.175580\n0.75 0.656619\nName: 8287, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20788665395605965, std values: 1.0966007007823646, min values: -2.730840794324401, max values: 3.02009942896863, median values: 0.1146178338242825, and quantile values: 0.25 -0.603747\n0.50 0.114618\n0.75 1.054412\nName: 8288, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28729759446889225, std values: 0.8129501129478415, min values: -2.196708653609315, max values: 6.0, median values: 0.3327962772354142, and quantile values: 0.25 -0.243208\n0.50 0.332796\n0.75 0.813415\nName: 8289, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45580709593366936, std values: 0.7795724549810971, min values: -2.90140378513671, max values: 3.1227871431249503, median values: 0.4759293323604027, and quantile values: 0.25 -0.018105\n0.50 0.475929\n0.75 0.965511\nName: 8290, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15158206402806212, std values: 1.039289496528647, min values: -2.727901130262228, max values: 4.0, median values: -0.2291407182524551, and quantile values: 0.25 -0.838721\n0.50 -0.229141\n0.75 0.441631\nName: 8291, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5806994052419493, std values: 0.8873143013028114, min values: -2.7648443048846945, max values: 3.528773265847577, median values: 0.7025139431826233, and quantile values: 0.25 0.015560\n0.50 0.702514\n0.75 1.166963\nName: 8292, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16589234798833793, std values: 0.9270228509461391, min values: -2.9029979285382743, max values: 6.0, median values: -0.2211653356050804, and quantile values: 0.25 -0.799348\n0.50 -0.221165\n0.75 0.427350\nName: 8293, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34331595873103815, std values: 0.8073488486066585, min values: -2.5544460869462697, max values: 4.0, median values: 0.3322141862893235, and quantile values: 0.25 -0.148138\n0.50 0.332214\n0.75 0.852740\nName: 8294, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3768408412320935, std values: 0.9581550290879718, min values: -3.0484008792629496, max values: 5.0, median values: -0.4269874786150219, and quantile values: 0.25 -1.019544\n0.50 -0.426987\n0.75 0.224363\nName: 8295, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20661705463450605, std values: 0.7389543809591622, min values: -2.2038853164231766, max values: 3.709787027503053, median values: 0.2346500829960248, and quantile values: 0.25 -0.273662\n0.50 0.234650\n0.75 0.675811\nName: 8296, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34134391606682657, std values: 0.9842408189384929, min values: -2.622408470084112, max values: 3.1801075704642923, median values: -0.4293446803507298, and quantile values: 0.25 -1.057539\n0.50 -0.429345\n0.75 0.299470\nName: 8297, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06881967043849888, std values: 0.8509991679917394, min values: -2.4536054974529624, max values: 6.0, median values: 0.0915029697668775, and quantile values: 0.25 -0.525008\n0.50 0.091503\n0.75 0.637429\nName: 8298, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02889026686723472, std values: 0.8212616771412345, min values: -1.9985758581625843, max values: 3.0, median values: -0.0469553747556006, and quantile values: 0.25 -0.534744\n0.50 -0.046955\n0.75 0.536108\nName: 8299, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03041685786909856, std values: 0.9530009427537192, min values: -2.6820581866633817, max values: 4.243835016543704, median values: -0.0687371365635089, and quantile values: 0.25 -0.786499\n0.50 -0.068737\n0.75 0.646234\nName: 8300, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2529845455068895, std values: 0.8521250744001974, min values: -2.088894678224596, max values: 4.0, median values: -0.379911631545958, and quantile values: 0.25 -0.910294\n0.50 -0.379912\n0.75 0.288230\nName: 8301, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.186138952170183, std values: 0.7984328213227728, min values: -2.090851036172633, max values: 5.0, median values: 0.2330245662840512, and quantile values: 0.25 -0.334413\n0.50 0.233025\n0.75 0.723112\nName: 8302, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19536575976558257, std values: 0.7772621554585015, min values: -2.1519703158873136, max values: 4.0, median values: -0.2644820667338718, and quantile values: 0.25 -0.724543\n0.50 -0.264482\n0.75 0.271819\nName: 8303, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1558587896907229, std values: 0.9268278585601597, min values: -2.6466193392086392, max values: 4.0, median values: -0.1513641441622668, and quantile values: 0.25 -0.700821\n0.50 -0.151364\n0.75 0.464212\nName: 8304, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.052895113149952905, std values: 0.8461171879342634, min values: -2.5631847770497496, max values: 4.0, median values: 0.0488483058961027, and quantile values: 0.25 -0.506650\n0.50 0.048848\n0.75 0.545596\nName: 8305, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.153675076378626, std values: 0.9956845831504011, min values: -2.4536054974529624, max values: 6.0, median values: 0.2020710138352977, and quantile values: 0.25 -0.627700\n0.50 0.202071\n0.75 0.999809\nName: 8306, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09325049388028728, std values: 0.7918315932145372, min values: -2.566149343918479, max values: 6.0, median values: 0.0524864799825835, and quantile values: 0.25 -0.429640\n0.50 0.052486\n0.75 0.576346\nName: 8307, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3825141799579974, std values: 0.9719525957020738, min values: -2.801183634509044, max values: 5.0, median values: 0.4510928171438162, and quantile values: 0.25 -0.341658\n0.50 0.451093\n0.75 1.110567\nName: 8308, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0445682247007959, std values: 0.8949018848856997, min values: -2.215291168881953, max values: 3.2266531185902125, median values: 0.0326686951511054, and quantile values: 0.25 -0.598720\n0.50 0.032669\n0.75 0.670741\nName: 8309, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03571238778216662, std values: 0.8912516689513911, min values: -2.5859127503381347, max values: 4.243835016543704, median values: -0.0804202819627622, and quantile values: 0.25 -0.634705\n0.50 -0.080420\n0.75 0.541031\nName: 8310, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32905523011832033, std values: 0.8478867859236837, min values: -2.7542003929097176, max values: 5.0, median values: 0.4011852096110082, and quantile values: 0.25 -0.171833\n0.50 0.401185\n0.75 0.884995\nName: 8311, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8241790057318371, std values: 0.9565352386178605, min values: -2.92272757463548, max values: 6.0, median values: -0.934594777728854, and quantile values: 0.25 -1.463961\n0.50 -0.934595\n0.75 -0.251954\nName: 8312, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2903409953212169, std values: 0.8717697792302539, min values: -2.267175988438518, max values: 5.0, median values: 0.338089448749129, and quantile values: 0.25 -0.307860\n0.50 0.338089\n0.75 0.879063\nName: 8313, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21822218557426293, std values: 0.8469856585355401, min values: -2.589966702820638, max values: 6.0, median values: -0.2504732020362785, and quantile values: 0.25 -0.847144\n0.50 -0.250473\n0.75 0.356465\nName: 8314, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25835987278428457, std values: 0.8778794541928225, min values: -2.688157591415518, max values: 3.0, median values: -0.323467174462778, and quantile values: 0.25 -0.874250\n0.50 -0.323467\n0.75 0.266798\nName: 8315, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07457990514703249, std values: 0.8576228165645147, min values: -2.710223074556336, max values: 4.0, median values: 0.1417843166153135, and quantile values: 0.25 -0.456251\n0.50 0.141784\n0.75 0.607750\nName: 8316, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6782139083347776, std values: 0.9657597030849278, min values: -1.95930647282486, max values: 3.569037956734876, median values: 0.7537200034970697, and quantile values: 0.25 -0.021069\n0.50 0.753720\n0.75 1.444321\nName: 8317, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4598742938003853, std values: 0.7731152506093699, min values: -2.072108449798908, max values: 3.124705982383484, median values: -0.5859972102282989, and quantile values: 0.25 -1.011194\n0.50 -0.585997\n0.75 0.006141\nName: 8318, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2642523290838971, std values: 0.861244643468078, min values: -2.182528720823968, max values: 5.0, median values: 0.2455012018772997, and quantile values: 0.25 -0.312547\n0.50 0.245501\n0.75 0.827538\nName: 8319, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30628021406205674, std values: 1.0633805428613465, min values: -2.688157591415518, max values: 4.0, median values: -0.1920770799520076, and quantile values: 0.25 -1.020817\n0.50 -0.192077\n0.75 0.433261\nName: 8320, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06329928763663675, std values: 0.8761698668718924, min values: -2.632854336056873, max values: 3.528773265847577, median values: -0.049977110831694, and quantile values: 0.25 -0.511740\n0.50 -0.049977\n0.75 0.619485\nName: 8321, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36371047397357315, std values: 1.0138402383388687, min values: -2.6072570508709387, max values: 4.0, median values: -0.4803757583206302, and quantile values: 0.25 -1.211258\n0.50 -0.480376\n0.75 0.309769\nName: 8322, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5303009868112072, std values: 1.2292144334640767, min values: -3.1386665508340674, max values: 3.397048482165858, median values: -0.5129957469294838, and quantile values: 0.25 -1.546453\n0.50 -0.512996\n0.75 0.352640\nName: 8323, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2611132702721639, std values: 0.9165019442949887, min values: -2.710223074556336, max values: 4.0, median values: -0.3888822990622839, and quantile values: 0.25 -0.962815\n0.50 -0.388882\n0.75 0.326864\nName: 8324, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0009378720616755366, std values: 0.9907443828635186, min values: -2.815821936576896, max values: 3.258347009006034, median values: 0.0500598321843043, and quantile values: 0.25 -0.532292\n0.50 0.050060\n0.75 0.617801\nName: 8325, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13352770446261458, std values: 1.6107172390536937, min values: -2.9666813816765707, max values: 4.0, median values: 0.0430044151958875, and quantile values: 0.25 -1.698550\n0.50 0.043004\n0.75 1.244137\nName: 8326, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7555284687234397, std values: 1.118546257981431, min values: -2.949186837165601, max values: 4.0, median values: -0.8203774253111018, and quantile values: 0.25 -1.489212\n0.50 -0.820377\n0.75 0.020469\nName: 8327, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07507416466631932, std values: 0.7741401210744318, min values: -3.002493140275396, max values: 5.0, median values: -0.0924478918490199, and quantile values: 0.25 -0.591467\n0.50 -0.092448\n0.75 0.410359\nName: 8328, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21950258169233683, std values: 0.8477069712405748, min values: -2.09134137830184, max values: 3.867701659180865, median values: 0.2572099197673467, and quantile values: 0.25 -0.393550\n0.50 0.257210\n0.75 0.870209\nName: 8329, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10715181904745029, std values: 1.0802940418287568, min values: -2.087432639025188, max values: 4.0, median values: -0.2336560221792966, and quantile values: 0.25 -1.018750\n0.50 -0.233656\n0.75 0.654697\nName: 8330, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1594012683100245, std values: 0.7962633493881042, min values: -2.45229857681487, max values: 3.0, median values: -0.2442290947407392, and quantile values: 0.25 -0.744997\n0.50 -0.244229\n0.75 0.365976\nName: 8331, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3138163738278573, std values: 0.7448126284871696, min values: -1.9345426272359847, max values: 5.0, median values: 0.3500506270141232, and quantile values: 0.25 -0.144755\n0.50 0.350051\n0.75 0.766913\nName: 8332, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3307071252295318, std values: 1.0426483134662188, min values: -2.6660404517971856, max values: 4.0, median values: -0.3931035211697271, and quantile values: 0.25 -1.212463\n0.50 -0.393104\n0.75 0.408291\nName: 8333, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26013687301441674, std values: 0.8968582498456735, min values: -2.7428415536925543, max values: 3.379902545505621, median values: -0.3586826028599403, and quantile values: 0.25 -0.913968\n0.50 -0.358683\n0.75 0.301922\nName: 8334, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38426888836830453, std values: 0.8779007123830825, min values: -2.5563022890751474, max values: 4.0, median values: -0.5094180318351478, and quantile values: 0.25 -1.012142\n0.50 -0.509418\n0.75 0.126307\nName: 8335, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08684232077684156, std values: 1.145031228220748, min values: -2.732564679617164, max values: 4.026668017837955, median values: 0.0274667473858306, and quantile values: 0.25 -0.725386\n0.50 0.027467\n0.75 0.827693\nName: 8336, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2480088714869278, std values: 0.8206105013385115, min values: -2.841647375415054, max values: 5.0, median values: -0.2546269962052359, and quantile values: 0.25 -0.839017\n0.50 -0.254627\n0.75 0.231509\nName: 8337, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39646849381340676, std values: 0.7603513468430556, min values: -2.241657446619009, max values: 3.1175233493066874, median values: 0.4703240893683642, and quantile values: 0.25 -0.082697\n0.50 0.470324\n0.75 0.916423\nName: 8338, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20526052420985658, std values: 0.9353389794838429, min values: -2.558791007225312, max values: 3.438667023696733, median values: 0.288241537765934, and quantile values: 0.25 -0.414737\n0.50 0.288242\n0.75 0.809062\nName: 8339, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35693323949850775, std values: 0.8173106107165639, min values: -2.119639300682046, max values: 3.1841025362512254, median values: 0.3873382351213236, and quantile values: 0.25 -0.211246\n0.50 0.387338\n0.75 0.959537\nName: 8340, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.025888442834137635, std values: 1.357959651493888, min values: -2.8467638118011016, max values: 5.0, median values: -0.001276263587625, and quantile values: 0.25 -0.840833\n0.50 -0.001276\n0.75 0.991041\nName: 8341, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0737394482583385, std values: 0.980377249405623, min values: -2.5820330744015787, max values: 4.0, median values: 0.0908102505444492, and quantile values: 0.25 -0.666559\n0.50 0.090810\n0.75 0.871936\nName: 8342, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2853041384015142, std values: 0.8792258600709755, min values: -2.8164291268114208, max values: 3.096891534584617, median values: -0.2284833610577976, and quantile values: 0.25 -0.895052\n0.50 -0.228483\n0.75 0.292457\nName: 8343, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1536962511518531, std values: 0.8609758555992709, min values: -2.277000415045123, max values: 5.0, median values: 0.0762241209434581, and quantile values: 0.25 -0.477730\n0.50 0.076224\n0.75 0.726124\nName: 8344, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11618004646497752, std values: 0.7907391127010469, min values: -2.1062910125783354, max values: 5.0, median values: 0.0866104474426997, and quantile values: 0.25 -0.398241\n0.50 0.086610\n0.75 0.591303\nName: 8345, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.018134641765488603, std values: 0.8377737013909266, min values: -2.482931728382393, max values: 4.278004674434932, median values: -0.0635208073697263, and quantile values: 0.25 -0.576306\n0.50 -0.063521\n0.75 0.511708\nName: 8346, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.144436674513441, std values: 1.126711161053874, min values: -2.6404955031131814, max values: 6.0, median values: 0.0829884921806247, and quantile values: 0.25 -0.752945\n0.50 0.082988\n0.75 1.110312\nName: 8347, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05957498827752681, std values: 0.8005976701556724, min values: -2.90140378513671, max values: 3.05919958255637, median values: -0.1432646147429413, and quantile values: 0.25 -0.633426\n0.50 -0.143265\n0.75 0.459844\nName: 8348, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36136623399856116, std values: 0.885606998070257, min values: -2.0792309011718992, max values: 4.0, median values: 0.4400830606254809, and quantile values: 0.25 -0.253669\n0.50 0.440083\n0.75 0.933535\nName: 8349, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.47323122389047334, std values: 0.8954291281875, min values: -2.8680719719444903, max values: 2.9666813816765742, median values: -0.5787915594669226, and quantile values: 0.25 -1.165017\n0.50 -0.578792\n0.75 0.104037\nName: 8350, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01102628549828321, std values: 1.0760666195391348, min values: -2.5399045531878324, max values: 4.0, median values: 0.0651354535785001, and quantile values: 0.25 -0.760793\n0.50 0.065135\n0.75 0.811936\nName: 8351, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11644003940348217, std values: 1.0131598918941824, min values: -2.182528720823968, max values: 3.280245386470253, median values: 0.1095775048092281, and quantile values: 0.25 -0.693910\n0.50 0.109578\n0.75 0.838603\nName: 8352, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39935582012382154, std values: 0.9578829294773137, min values: -2.2175202157861755, max values: 3.709787027503053, median values: -0.4982833594427628, and quantile values: 0.25 -1.113481\n0.50 -0.498283\n0.75 0.109457\nName: 8353, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.028733239620254578, std values: 1.228866372134531, min values: -2.693453432157769, max values: 3.281452258958016, median values: 0.2784742560050467, and quantile values: 0.25 -0.724723\n0.50 0.278474\n0.75 0.903066\nName: 8354, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07509717055602418, std values: 0.8137114794822863, min values: -2.0600063421362025, max values: 3.5908526919299577, median values: -0.0164967967433439, and quantile values: 0.25 -0.487745\n0.50 -0.016497\n0.75 0.604015\nName: 8355, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14233783629668945, std values: 0.7440522057747634, min values: -2.3344113078233786, max values: 5.0, median values: -0.1924978775676042, and quantile values: 0.25 -0.637065\n0.50 -0.192498\n0.75 0.282088\nName: 8356, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4397540135602897, std values: 1.0066756579817513, min values: -2.198029940219256, max values: 3.721862465295849, median values: 0.5207070484335596, and quantile values: 0.25 -0.297774\n0.50 0.520707\n0.75 1.288911\nName: 8357, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41089864553461486, std values: 0.791763690911605, min values: -2.104270394087118, max values: 3.0, median values: -0.4999430711069096, and quantile values: 0.25 -0.994081\n0.50 -0.499943\n0.75 0.096959\nName: 8358, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5891159414682602, std values: 0.7551028941911677, min values: -2.090799501270592, max values: 3.258347009006034, median values: 0.6601760680720318, and quantile values: 0.25 0.101424\n0.50 0.660176\n0.75 1.104881\nName: 8359, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18897411323543784, std values: 0.7427915564113983, min values: -2.566149343918479, max values: 6.0, median values: 0.2629993401877913, and quantile values: 0.25 -0.282530\n0.50 0.262999\n0.75 0.669853\nName: 8360, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2176724670022918, std values: 0.8008492419686506, min values: -2.196708653609315, max values: 3.0418703198091483, median values: 0.2853317059549645, and quantile values: 0.25 -0.335013\n0.50 0.285332\n0.75 0.799927\nName: 8361, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 1.064017069014923, std values: 0.9010117961285241, min values: -2.2272703849889663, max values: 3.434669824302974, median values: 1.1978890106333158, and quantile values: 0.25 0.480593\n0.50 1.197889\n0.75 1.728717\nName: 8362, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08898596816057679, std values: 0.9093188217884641, min values: -2.5859127503381347, max values: 3.4566816047670264, median values: -0.1142371979322248, and quantile values: 0.25 -0.662815\n0.50 -0.114237\n0.75 0.482079\nName: 8363, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1996436247581724, std values: 0.8773363700224021, min values: -2.2269541150421013, max values: 5.0, median values: -0.2866227010398106, and quantile values: 0.25 -0.827413\n0.50 -0.286623\n0.75 0.352129\nName: 8364, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5132189129363637, std values: 0.9388953696877123, min values: -2.1238235090034925, max values: 5.0, median values: 0.5640335966074405, and quantile values: 0.25 -0.081179\n0.50 0.564034\n0.75 1.119026\nName: 8365, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10030864340545712, std values: 1.0495443918943796, min values: -2.6466193392086392, max values: 4.0, median values: 0.1916129356162237, and quantile values: 0.25 -0.435204\n0.50 0.191613\n0.75 0.763665\nName: 8366, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5205337774987442, std values: 0.9592195058317315, min values: -2.055430953058359, max values: 5.0, median values: 0.5351746201891787, and quantile values: 0.25 -0.172253\n0.50 0.535175\n0.75 1.286337\nName: 8367, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0847152766116155, std values: 1.2600786392869554, min values: -2.727901130262228, max values: 4.0, median values: -1.6877491624678858, and quantile values: 0.25 -2.140406\n0.50 -1.687749\n0.75 0.047247\nName: 8368, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23556995099838748, std values: 0.9055422190965765, min values: -2.1047747435038886, max values: 5.0, median values: -0.3515426536186213, and quantile values: 0.25 -0.916479\n0.50 -0.351543\n0.75 0.372951\nName: 8369, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.288685095540765, std values: 1.006159785891623, min values: -2.8663054413554843, max values: 6.0, median values: 0.4702625701488579, and quantile values: 0.25 -0.294753\n0.50 0.470263\n0.75 0.980117\nName: 8370, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10308349905029153, std values: 0.7789533399123331, min values: -2.09925610156575, max values: 6.0, median values: -0.2153321284751181, and quantile values: 0.25 -0.612893\n0.50 -0.215332\n0.75 0.381290\nName: 8371, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05529675448577315, std values: 0.8908289995555008, min values: -2.4823451998031074, max values: 3.9905524164385566, median values: 0.1270771112257674, and quantile values: 0.25 -0.507538\n0.50 0.127077\n0.75 0.674075\nName: 8372, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20110353780669488, std values: 0.7785921099437065, min values: -2.7884838087481176, max values: 6.0, median values: 0.1258834108129541, and quantile values: 0.25 -0.290287\n0.50 0.125883\n0.75 0.677326\nName: 8373, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4942605442122271, std values: 1.3378568655341685, min values: -2.842043939794492, max values: 3.670892362631932, median values: 0.680656650927089, and quantile values: 0.25 -0.441054\n0.50 0.680657\n0.75 1.533295\nName: 8374, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 1.0435383743537985, std values: 0.9324157018383198, min values: -1.9910689947648448, max values: 4.0, median values: 1.0707337404133366, and quantile values: 0.25 0.444639\n0.50 1.070734\n0.75 1.743436\nName: 8375, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0448360430414712, std values: 0.7404560221311138, min values: -2.558791007225312, max values: 3.0, median values: 0.0684990548889072, and quantile values: 0.25 -0.436324\n0.50 0.068499\n0.75 0.492672\nName: 8376, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09784608992730781, std values: 0.8413953724791929, min values: -2.5774281843044924, max values: 6.0, median values: -0.1660788170402958, and quantile values: 0.25 -0.671657\n0.50 -0.166079\n0.75 0.401507\nName: 8377, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 1.0049096820447776, std values: 1.005188820117608, min values: -2.3808324358856225, max values: 3.9905524164385566, median values: 1.067409363210267, and quantile values: 0.25 0.301605\n0.50 1.067409\n0.75 1.752365\nName: 8378, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.409313061287112, std values: 0.9753686310588098, min values: -2.855306289371099, max values: 6.0, median values: -0.5139181631068988, and quantile values: 0.25 -1.183797\n0.50 -0.513918\n0.75 0.239323\nName: 8379, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22841147700836342, std values: 0.7896022403787338, min values: -2.579952672199424, max values: 6.0, median values: -0.3053538297649478, and quantile values: 0.25 -0.775217\n0.50 -0.305354\n0.75 0.230067\nName: 8380, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17311055612743703, std values: 0.8136257278426691, min values: -2.1921678111617107, max values: 3.784832159836258, median values: -0.1791887501890569, and quantile values: 0.25 -0.729601\n0.50 -0.179189\n0.75 0.339767\nName: 8381, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6792344548240662, std values: 0.8915707615950305, min values: -2.7939007019027, max values: 2.762559925836032, median values: -0.7937650641378328, and quantile values: 0.25 -1.417792\n0.50 -0.793765\n0.75 -0.065397\nName: 8382, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.010783542655535449, std values: 0.8024659155338486, min values: -2.372995607737588, max values: 5.0, median values: -0.0957903247724724, and quantile values: 0.25 -0.535779\n0.50 -0.095790\n0.75 0.490698\nName: 8383, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1861406518888178, std values: 0.8423235759671783, min values: -2.1855191689610542, max values: 6.0, median values: -0.2585546135828515, and quantile values: 0.25 -0.778506\n0.50 -0.258555\n0.75 0.330672\nName: 8384, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08923063752628146, std values: 0.782085142624914, min values: -2.007734609717569, max values: 3.518664430018096, median values: -0.0919731122652936, and quantile values: 0.25 -0.625034\n0.50 -0.091973\n0.75 0.379247\nName: 8385, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3575811555983214, std values: 0.8821308907876074, min values: -2.1720539924644524, max values: 4.0, median values: -0.4050047955527713, and quantile values: 0.25 -1.060192\n0.50 -0.405005\n0.75 0.246768\nName: 8386, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3722781601380129, std values: 0.9712606029770228, min values: -2.622709665346679, max values: 3.096891534584617, median values: -0.4071864001467156, and quantile values: 0.25 -1.131370\n0.50 -0.407186\n0.75 0.312473\nName: 8387, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3308721359124725, std values: 0.8465912026703194, min values: -2.6652153608723106, max values: 5.0, median values: 0.4287036959966886, and quantile values: 0.25 -0.134132\n0.50 0.428704\n0.75 0.862007\nName: 8388, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24026280053199625, std values: 0.9016479440176874, min values: -2.2814383223755774, max values: 6.0, median values: -0.2924323698380677, and quantile values: 0.25 -0.961826\n0.50 -0.292432\n0.75 0.379217\nName: 8389, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.330497206380944, std values: 1.045585716966563, min values: -2.6122411453164007, max values: 4.0, median values: -0.2855611813768066, and quantile values: 0.25 -0.999675\n0.50 -0.285561\n0.75 0.352158\nName: 8390, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03233115063467994, std values: 0.8037475839017826, min values: -2.1952222375445194, max values: 4.0, median values: -0.0646617669908186, and quantile values: 0.25 -0.549390\n0.50 -0.064662\n0.75 0.433055\nName: 8391, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.023066463874754355, std values: 0.8382468606908378, min values: -2.3808324358856225, max values: 3.319774799707247, median values: 0.0708352274908108, and quantile values: 0.25 -0.589303\n0.50 0.070835\n0.75 0.637748\nName: 8392, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6610501118154588, std values: 0.9456882368365248, min values: -2.657750824678472, max values: 5.0, median values: -0.7629645985368051, and quantile values: 0.25 -1.305825\n0.50 -0.762965\n0.75 -0.154784\nName: 8393, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3795417254077364, std values: 0.8948064619552408, min values: -2.6115251494731915, max values: 3.247416277295021, median values: -0.4878068453434712, and quantile values: 0.25 -1.088490\n0.50 -0.487807\n0.75 0.186584\nName: 8394, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07986772851043031, std values: 0.9201075961822855, min values: -2.299460330888208, max values: 4.0, median values: -0.2199547522085712, and quantile values: 0.25 -0.786467\n0.50 -0.219955\n0.75 0.512148\nName: 8395, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17747683910631673, std values: 0.7824784619142904, min values: -2.580492024304656, max values: 3.0, median values: 0.1241070720192746, and quantile values: 0.25 -0.325229\n0.50 0.124107\n0.75 0.660519\nName: 8396, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2141702110645646, std values: 1.0811501560268184, min values: -2.6466193392086392, max values: 4.0, median values: -0.244739840864935, and quantile values: 0.25 -1.090384\n0.50 -0.244740\n0.75 0.564744\nName: 8397, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04894494913446641, std values: 0.8531128326258485, min values: -3.002493140275396, max values: 5.0, median values: 0.0777943382962428, and quantile values: 0.25 -0.582535\n0.50 0.077794\n0.75 0.673081\nName: 8398, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03094271091494362, std values: 0.9893183268799577, min values: -2.6800544037614658, max values: 4.0, median values: 0.0497840956712214, and quantile values: 0.25 -0.747736\n0.50 0.049784\n0.75 0.665187\nName: 8399, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2106213939030525, std values: 0.9103679277545643, min values: -2.0261424089339126, max values: 5.0, median values: 0.1580426341118887, and quantile values: 0.25 -0.510900\n0.50 0.158043\n0.75 0.901576\nName: 8400, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23874565736344255, std values: 0.941081267052439, min values: -2.5156802245814003, max values: 4.0, median values: -0.2626287490044254, and quantile values: 0.25 -0.891861\n0.50 -0.262629\n0.75 0.387427\nName: 8401, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27534666301428856, std values: 0.7869837358650685, min values: -2.1154918763173005, max values: 4.0, median values: 0.3117281548512224, and quantile values: 0.25 -0.264653\n0.50 0.311728\n0.75 0.817832\nName: 8402, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27902099762933813, std values: 0.8265669644664606, min values: -2.061237435183259, max values: 5.0, median values: 0.338973422738285, and quantile values: 0.25 -0.291101\n0.50 0.338973\n0.75 0.878253\nName: 8403, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14185211209009657, std values: 0.8274360629098138, min values: -1.880065211281032, max values: 4.0, median values: 0.1833865729593894, and quantile values: 0.25 -0.465210\n0.50 0.183387\n0.75 0.752725\nName: 8404, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16739582436555597, std values: 0.7284935132420094, min values: -2.72346435408924, max values: 4.0, median values: 0.1678332811675731, and quantile values: 0.25 -0.319951\n0.50 0.167833\n0.75 0.658743\nName: 8405, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6824008074600779, std values: 0.89522999711532, min values: -2.5213149333948146, max values: 3.0, median values: -0.8497522181971138, and quantile values: 0.25 -1.397981\n0.50 -0.849752\n0.75 -0.150072\nName: 8406, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33811735893887296, std values: 0.9685634714672523, min values: -2.7688682710567485, max values: 3.455472209455805, median values: -0.4534439155050646, and quantile values: 0.25 -0.994159\n0.50 -0.453444\n0.75 0.217969\nName: 8407, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16471619082980038, std values: 0.7787774802225517, min values: -2.110869107491898, max values: 5.0, median values: -0.2513268605104848, and quantile values: 0.25 -0.735012\n0.50 -0.251327\n0.75 0.343732\nName: 8408, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12193137438103181, std values: 0.7787533673797543, min values: -2.5825978442440407, max values: 6.0, median values: 0.1213055096519692, and quantile values: 0.25 -0.387546\n0.50 0.121306\n0.75 0.634102\nName: 8409, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47377745593876097, std values: 0.8883116376048152, min values: -2.6685266729136536, max values: 6.0, median values: 0.4033121727148391, and quantile values: 0.25 -0.132715\n0.50 0.403312\n0.75 1.078928\nName: 8410, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2963247243932126, std values: 0.9989116330837938, min values: -2.679056533720636, max values: 5.0, median values: -0.2732693982718867, and quantile values: 0.25 -0.907682\n0.50 -0.273269\n0.75 0.335184\nName: 8411, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20923829179195513, std values: 0.8850543788892709, min values: -2.0845218758782083, max values: 4.0, median values: -0.3277648965435334, and quantile values: 0.25 -0.815095\n0.50 -0.327765\n0.75 0.301000\nName: 8412, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05584903826293933, std values: 0.7710854256729954, min values: -2.2161166709808824, max values: 6.0, median values: 0.0381787608790197, and quantile values: 0.25 -0.445078\n0.50 0.038179\n0.75 0.528538\nName: 8413, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5947601763021647, std values: 0.9865505555692237, min values: -2.842989614395848, max values: 5.0, median values: -0.7572412921479204, and quantile values: 0.25 -1.348355\n0.50 -0.757241\n0.75 0.008816\nName: 8414, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.427292435221197, std values: 0.851571177225403, min values: -2.047203159103292, max values: 5.0, median values: 0.4221251414547968, and quantile values: 0.25 -0.116831\n0.50 0.422125\n0.75 0.995787\nName: 8415, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.011310256679302823, std values: 0.8511259825618338, min values: -1.9843180868772257, max values: 4.0, median values: 0.05590106939909, and quantile values: 0.25 -0.627547\n0.50 0.055901\n0.75 0.632484\nName: 8416, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0220129171753918, std values: 0.8222942349521764, min values: -2.126457643282694, max values: 6.0, median values: 0.0200499631769107, and quantile values: 0.25 -0.540261\n0.50 0.020050\n0.75 0.536478\nName: 8417, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26554080084863063, std values: 0.7634837219701235, min values: -2.346475851786639, max values: 6.0, median values: -0.2525225031414478, and quantile values: 0.25 -0.834383\n0.50 -0.252523\n0.75 0.227370\nName: 8418, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16786200110630461, std values: 1.142848228511947, min values: -2.9029979285382743, max values: 3.281452258958016, median values: 0.1131521762407486, and quantile values: 0.25 -0.723398\n0.50 0.113152\n0.75 0.650584\nName: 8419, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06678036270044399, std values: 0.8430614118923169, min values: -2.566149343918479, max values: 6.0, median values: -0.142807086666247, and quantile values: 0.25 -0.696154\n0.50 -0.142807\n0.75 0.503964\nName: 8420, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15502027785877062, std values: 0.8160605588086386, min values: -2.537573835824454, max values: 6.0, median values: 0.2172752455205649, and quantile values: 0.25 -0.397272\n0.50 0.217275\n0.75 0.685595\nName: 8421, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14177832854198388, std values: 0.8393057414799844, min values: -2.0884920198234647, max values: 3.0, median values: -0.2259876375058082, and quantile values: 0.25 -0.820708\n0.50 -0.225988\n0.75 0.452160\nName: 8422, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10661954048280446, std values: 1.2360832345570598, min values: -3.00972886875607, max values: 3.670892362631932, median values: -0.0329051672638952, and quantile values: 0.25 -0.764977\n0.50 -0.032905\n0.75 0.770169\nName: 8423, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5651337906865496, std values: 0.9620308884682175, min values: -2.0864604194430334, max values: 3.9048392686725855, median values: -0.7500226789240882, and quantile values: 0.25 -1.364485\n0.50 -0.750023\n0.75 0.056659\nName: 8424, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17286620833563365, std values: 0.8531835529513384, min values: -2.147228856409125, max values: 3.1106274661862763, median values: 0.218459676010449, and quantile values: 0.25 -0.410509\n0.50 0.218460\n0.75 0.742994\nName: 8425, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2915087255206889, std values: 1.127561541939161, min values: -2.080605134506434, max values: 5.0, median values: 0.1206388835229858, and quantile values: 0.25 -0.518658\n0.50 0.120639\n0.75 0.943816\nName: 8426, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05816840708204348, std values: 0.9972983958714783, min values: -2.209283142861864, max values: 6.0, median values: -0.1315499373156274, and quantile values: 0.25 -0.870865\n0.50 -0.131550\n0.75 0.629358\nName: 8427, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2352797264041963, std values: 1.062429564979951, min values: -2.4147479614044456, max values: 6.0, median values: -0.2890625531907325, and quantile values: 0.25 -1.082742\n0.50 -0.289063\n0.75 0.513530\nName: 8428, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27880342166898014, std values: 1.2985160861202127, min values: -2.9109251266226006, max values: 3.598076523509904, median values: -0.2822925695937495, and quantile values: 0.25 -1.096780\n0.50 -0.282293\n0.75 0.688906\nName: 8429, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1682236993944539, std values: 1.1074646427356953, min values: -2.486556664247513, max values: 3.415255285860171, median values: 0.1735888266067957, and quantile values: 0.25 -0.620292\n0.50 0.173589\n0.75 1.087694\nName: 8430, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2595492148015856, std values: 0.8736589564925177, min values: -2.579952672199424, max values: 6.0, median values: 0.2631703944525045, and quantile values: 0.25 -0.334413\n0.50 0.263170\n0.75 0.923568\nName: 8431, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.011255109810588344, std values: 0.7810726827229081, min values: -2.3771558481240653, max values: 4.0, median values: -0.0502207900425643, and quantile values: 0.25 -0.518346\n0.50 -0.050221\n0.75 0.484948\nName: 8432, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05169363092209905, std values: 1.020485284463581, min values: -2.7884838087481176, max values: 6.0, median values: 0.0436194889673793, and quantile values: 0.25 -0.656602\n0.50 0.043619\n0.75 0.790256\nName: 8433, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12096582922066633, std values: 0.9474847556731139, min values: -3.0390690173369013, max values: 3.0362913622068968, median values: -0.1293262029689721, and quantile values: 0.25 -0.843428\n0.50 -0.129326\n0.75 0.601861\nName: 8434, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5181860145183235, std values: 0.9993276399288007, min values: -2.608390851963037, max values: 5.0, median values: -0.6156288458569563, and quantile values: 0.25 -1.167408\n0.50 -0.615629\n0.75 0.085662\nName: 8435, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10687764916844784, std values: 1.2152816982634531, min values: -2.916688926075616, max values: 6.0, median values: 0.2944075540441729, and quantile values: 0.25 -0.660712\n0.50 0.294408\n0.75 1.018154\nName: 8436, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5493043962785935, std values: 0.9887006950602447, min values: -2.8531572940820533, max values: 3.598076523509904, median values: 0.5858337285489088, and quantile values: 0.25 -0.162924\n0.50 0.585834\n0.75 1.296896\nName: 8437, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2659349676962565, std values: 0.9486346322231156, min values: -2.090169083820303, max values: 3.784832159836258, median values: 0.238151780534971, and quantile values: 0.25 -0.395812\n0.50 0.238152\n0.75 0.882004\nName: 8438, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3807251289297713, std values: 0.8908663364486071, min values: -2.6635706018350787, max values: 3.2936960268109283, median values: 0.2957146605728795, and quantile values: 0.25 -0.247109\n0.50 0.295715\n0.75 0.979497\nName: 8439, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.022416029572642427, std values: 0.896831567628711, min values: -2.6466193392086392, max values: 4.0, median values: -0.0072322214129542, and quantile values: 0.25 -0.598205\n0.50 -0.007232\n0.75 0.561775\nName: 8440, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.023457650141724344, std values: 0.8018993109056207, min values: -2.028356248468432, max values: 3.2906806286429298, median values: -0.0060032001917457, and quantile values: 0.25 -0.604904\n0.50 -0.006003\n0.75 0.513718\nName: 8441, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6685277355771765, std values: 1.107398995463616, min values: -2.769191083399913, max values: 3.0, median values: -0.6510260613109371, and quantile values: 0.25 -1.460211\n0.50 -0.651026\n0.75 0.110963\nName: 8442, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06423128880409765, std values: 0.9186424917293122, min values: -2.605098146828148, max values: 6.0, median values: -0.1355561056619192, and quantile values: 0.25 -0.667866\n0.50 -0.135556\n0.75 0.509446\nName: 8443, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06281686092731384, std values: 0.7312850400271389, min values: -2.0891387860401704, max values: 5.0, median values: 0.0061450098346508, and quantile values: 0.25 -0.396080\n0.50 0.006145\n0.75 0.498123\nName: 8444, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4937923676142559, std values: 0.858921031142661, min values: -2.2398683045325223, max values: 3.1290445144064547, median values: -0.633762251086005, and quantile values: 0.25 -1.116095\n0.50 -0.633762\n0.75 0.018814\nName: 8445, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19838922535348752, std values: 0.800371749540256, min values: -2.710223074556336, max values: 4.0, median values: 0.2198334500276578, and quantile values: 0.25 -0.292630\n0.50 0.219833\n0.75 0.708911\nName: 8446, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28950694452484976, std values: 0.869896812605433, min values: -2.2038853164231766, max values: 2.686408940679079, median values: 0.2727618908627853, and quantile values: 0.25 -0.277309\n0.50 0.272762\n0.75 0.832551\nName: 8447, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2753394082846623, std values: 0.9768569516488987, min values: -2.6635706018350787, max values: 3.9905524164385566, median values: 0.2280028379304891, and quantile values: 0.25 -0.499890\n0.50 0.228003\n0.75 1.010406\nName: 8448, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30589062580958365, std values: 0.975833230150486, min values: -2.572123985342288, max values: 5.0, median values: 0.2727787580790372, and quantile values: 0.25 -0.285590\n0.50 0.272779\n0.75 1.017083\nName: 8449, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3203232220583072, std values: 0.8654842158141591, min values: -2.264034258932616, max values: 3.20751086257212, median values: 0.3818684043350915, and quantile values: 0.25 -0.295759\n0.50 0.381868\n0.75 0.941838\nName: 8450, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1329228546444306, std values: 1.253189209360947, min values: -2.5293911731823453, max values: 3.0, median values: 0.5002644646104955, and quantile values: 0.25 -0.476331\n0.50 0.500264\n0.75 1.003493\nName: 8451, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2696881630234693, std values: 0.8441122563990654, min values: -2.7510671817729784, max values: 6.0, median values: -0.2736374215853375, and quantile values: 0.25 -0.868413\n0.50 -0.273637\n0.75 0.275307\nName: 8452, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37492326873839515, std values: 0.9147875881949558, min values: -2.3808324358856225, max values: 4.243835016543704, median values: -0.4653155762186566, and quantile values: 0.25 -1.093934\n0.50 -0.465316\n0.75 0.247635\nName: 8453, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.048890192599481935, std values: 0.8209795143577261, min values: -2.0276171973711654, max values: 3.477886732511886, median values: -0.0091431793254968, and quantile values: 0.25 -0.637368\n0.50 -0.009143\n0.75 0.495140\nName: 8454, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12693817865893603, std values: 1.1856655112895065, min values: -2.8663054413554843, max values: 6.0, median values: 0.1228294294519073, and quantile values: 0.25 -0.740007\n0.50 0.122829\n0.75 1.121038\nName: 8455, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06291189837506365, std values: 0.8317795812381378, min values: -2.082109659827605, max values: 3.216771431244405, median values: -0.041127786028457, and quantile values: 0.25 -0.635519\n0.50 -0.041128\n0.75 0.471247\nName: 8456, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22541904707036997, std values: 1.0994850920046926, min values: -2.769191083399913, max values: 3.1995118554872866, median values: -0.0785472485712697, and quantile values: 0.25 -0.786123\n0.50 -0.078547\n0.75 0.499192\nName: 8457, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0975568930935026, std values: 1.009064174706119, min values: -2.6860983596124264, max values: 3.867701659180865, median values: 0.1787257030058631, and quantile values: 0.25 -0.561552\n0.50 0.178726\n0.75 0.829745\nName: 8458, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01021573443880306, std values: 0.8064994845767203, min values: -2.090799501270592, max values: 3.260388056018088, median values: -0.0173958726263306, and quantile values: 0.25 -0.522348\n0.50 -0.017396\n0.75 0.543326\nName: 8459, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2554404136961368, std values: 0.8365072334070046, min values: -2.1149759989911825, max values: 5.0, median values: -0.3426216631804515, and quantile values: 0.25 -0.875825\n0.50 -0.342622\n0.75 0.279027\nName: 8460, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.035619529839961674, std values: 0.9903711412484181, min values: -2.5743883495350026, max values: 5.0, median values: -0.0292784723028703, and quantile values: 0.25 -0.743773\n0.50 -0.029278\n0.75 0.588189\nName: 8461, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3044946063496125, std values: 0.9599266203922845, min values: -2.5122218748354936, max values: 3.8226908388056136, median values: -0.3618854564788791, and quantile values: 0.25 -1.077549\n0.50 -0.361885\n0.75 0.334864\nName: 8462, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1687703405844361, std values: 0.8064079600846762, min values: -2.5422910691068967, max values: 3.17157439250477, median values: -0.2179802268433599, and quantile values: 0.25 -0.736772\n0.50 -0.217980\n0.75 0.347162\nName: 8463, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13564400191560338, std values: 0.8177500943814936, min values: -3.0133870328644434, max values: 3.0089865423056903, median values: -0.1130716032259029, and quantile values: 0.25 -0.646268\n0.50 -0.113072\n0.75 0.334922\nName: 8464, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31170869352976927, std values: 0.9840013972723081, min values: -2.0477799217050063, max values: 5.0, median values: 0.1524878599112004, and quantile values: 0.25 -0.414181\n0.50 0.152488\n0.75 0.970798\nName: 8465, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03348590155405983, std values: 0.8697338462855503, min values: -2.005672204034532, max values: 6.0, median values: -0.0334254124076341, and quantile values: 0.25 -0.607850\n0.50 -0.033425\n0.75 0.592418\nName: 8466, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16388074851914303, std values: 0.9255529666071886, min values: -2.801183634509044, max values: 5.0, median values: 0.1644316588875595, and quantile values: 0.25 -0.505659\n0.50 0.164432\n0.75 0.816265\nName: 8467, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39904748932703643, std values: 0.7848009888485885, min values: -2.3344113078233786, max values: 3.9905524164385566, median values: 0.4099097087159677, and quantile values: 0.25 -0.068783\n0.50 0.409910\n0.75 0.855437\nName: 8468, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06939647433495491, std values: 0.9228520175004974, min values: -2.788272971802125, max values: 6.0, median values: -0.1027091598848666, and quantile values: 0.25 -0.689781\n0.50 -0.102709\n0.75 0.556784\nName: 8469, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1737492143104925, std values: 0.8803038544733034, min values: -2.0632190848799, max values: 5.0, median values: 0.2259682632937757, and quantile values: 0.25 -0.412482\n0.50 0.225968\n0.75 0.736844\nName: 8470, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2295793792133615, std values: 0.7427962754016955, min values: -2.174309863242296, max values: 2.924424129075884, median values: 0.2896954257485105, and quantile values: 0.25 -0.270228\n0.50 0.289695\n0.75 0.765769\nName: 8471, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2141869679074609, std values: 1.0718462015033992, min values: -2.6278943940336483, max values: 4.0, median values: -0.0204080475074152, and quantile values: 0.25 -0.875745\n0.50 -0.020408\n0.75 0.546938\nName: 8472, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33101687527704904, std values: 1.0370028745856514, min values: -2.084038461791521, max values: 5.0, median values: 0.3576718769809444, and quantile values: 0.25 -0.449203\n0.50 0.357672\n0.75 1.069501\nName: 8473, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07690058355508422, std values: 0.776216727442313, min values: -2.0754191617391693, max values: 3.1888787873512885, median values: 0.0344860543720826, and quantile values: 0.25 -0.442998\n0.50 0.034486\n0.75 0.557792\nName: 8474, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1015035300779906, std values: 0.9365453804149584, min values: -2.7510671817729784, max values: 6.0, median values: -0.0840486106924764, and quantile values: 0.25 -0.780748\n0.50 -0.084049\n0.75 0.600380\nName: 8475, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42144697828280636, std values: 0.9744239827804727, min values: -2.5213149333948146, max values: 3.0362913622068968, median values: -0.4596462439159388, and quantile values: 0.25 -1.221399\n0.50 -0.459646\n0.75 0.263085\nName: 8476, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18110846870614514, std values: 0.8326225149683958, min values: -2.196181211030292, max values: 3.3483277116524426, median values: -0.3113063922689283, and quantile values: 0.25 -0.762338\n0.50 -0.311306\n0.75 0.356390\nName: 8477, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4517493392887697, std values: 1.026135923967016, min values: -2.4902145713898545, max values: 3.250922035035844, median values: 0.5127758738150531, and quantile values: 0.25 -0.247948\n0.50 0.512776\n0.75 1.260444\nName: 8478, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.013706208011503317, std values: 0.9457099796714533, min values: -2.306498322619479, max values: 4.243835016543704, median values: -0.0967211780827191, and quantile values: 0.25 -0.679051\n0.50 -0.096721\n0.75 0.633156\nName: 8479, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6951354597623278, std values: 0.9636401863958041, min values: -2.2398683045325223, max values: 3.215720519334646, median values: 0.775105534196077, and quantile values: 0.25 -0.006830\n0.50 0.775106\n0.75 1.464141\nName: 8480, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4671654397565875, std values: 0.9955021730868977, min values: -2.641174291463747, max values: 6.0, median values: 0.6223844338078174, and quantile values: 0.25 -0.129643\n0.50 0.622384\n0.75 1.178859\nName: 8481, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04662000895754418, std values: 0.8425171059905204, min values: -2.2477784840641744, max values: 4.026668017837955, median values: -0.0139078014390389, and quantile values: 0.25 -0.532292\n0.50 -0.013908\n0.75 0.578345\nName: 8482, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32227109713143404, std values: 0.8845464710325782, min values: -2.240740315114864, max values: 4.0, median values: 0.2749626128276911, and quantile values: 0.25 -0.237029\n0.50 0.274963\n0.75 0.871308\nName: 8483, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3490566718244636, std values: 0.824064730801438, min values: -2.5825978442440407, max values: 6.0, median values: -0.4338416588258497, and quantile values: 0.25 -0.880645\n0.50 -0.433842\n0.75 0.144793\nName: 8484, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07810191909080098, std values: 0.9259152150064562, min values: -2.641174291463747, max values: 6.0, median values: 0.0975760448190756, and quantile values: 0.25 -0.474765\n0.50 0.097576\n0.75 0.620253\nName: 8485, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5964572324490858, std values: 1.2016365119911894, min values: -2.109891368636471, max values: 5.0, median values: 0.4788164048147903, and quantile values: 0.25 -0.377652\n0.50 0.478816\n0.75 1.669474\nName: 8486, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3058245340126151, std values: 1.5296717067857974, min values: -2.8834699678265463, max values: 5.0, median values: -0.2453063458923109, and quantile values: 0.25 -1.836585\n0.50 -0.245306\n0.75 1.007025\nName: 8487, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04011566265934736, std values: 0.8033526869796924, min values: -2.113406475564999, max values: 3.3483277116524426, median values: -0.0070195054717922, and quantile values: 0.25 -0.494300\n0.50 -0.007020\n0.75 0.519257\nName: 8488, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10255293246766384, std values: 0.7571950702673055, min values: -2.6899145007874274, max values: 3.3483277116524426, median values: -0.1254670459753731, and quantile values: 0.25 -0.595641\n0.50 -0.125467\n0.75 0.366153\nName: 8489, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12967708375616407, std values: 1.0961996840821042, min values: -2.6800544037614658, max values: 4.0, median values: -0.1390521733308342, and quantile values: 0.25 -0.759690\n0.50 -0.139052\n0.75 0.583661\nName: 8490, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29164141764708745, std values: 1.0349460577945147, min values: -2.739804196611005, max values: 6.0, median values: -0.2016850769684467, and quantile values: 0.25 -1.010721\n0.50 -0.201685\n0.75 0.440021\nName: 8491, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3939628345439029, std values: 0.8645121183352159, min values: -2.9898739724800576, max values: 3.455472209455805, median values: -0.4930188286560544, and quantile values: 0.25 -1.004998\n0.50 -0.493019\n0.75 0.092969\nName: 8492, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45269578675007277, std values: 0.8036977880514766, min values: -2.5695487141177, max values: 3.630507857092792, median values: -0.5837751983274606, and quantile values: 0.25 -1.031903\n0.50 -0.583775\n0.75 0.032811\nName: 8493, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10135668107545774, std values: 0.7939357757512572, min values: -2.8889090019311845, max values: 5.0, median values: 0.057092457440326, and quantile values: 0.25 -0.409961\n0.50 0.057092\n0.75 0.583437\nName: 8494, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35934893730931694, std values: 0.8818754222235975, min values: -2.799990485600992, max values: 5.0, median values: 0.4303949450959787, and quantile values: 0.25 -0.230463\n0.50 0.430395\n0.75 0.946180\nName: 8495, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09161800137295165, std values: 0.8141990031775277, min values: -2.605098146828148, max values: 6.0, median values: -0.0587475903460592, and quantile values: 0.25 -0.663536\n0.50 -0.058748\n0.75 0.450512\nName: 8496, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0675790370072411, std values: 0.8758076404152196, min values: -2.2272703849889663, max values: 3.528773265847577, median values: 0.1287373465163873, and quantile values: 0.25 -0.581980\n0.50 0.128737\n0.75 0.730608\nName: 8497, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29259773693319446, std values: 0.8482683007543189, min values: -2.541693081833126, max values: 3.096891534584617, median values: -0.3980769015207029, and quantile values: 0.25 -0.889772\n0.50 -0.398077\n0.75 0.246744\nName: 8498, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37741397047004593, std values: 0.8959154493165205, min values: -2.6652153608723106, max values: 5.0, median values: -0.4732791114397791, and quantile values: 0.25 -1.043321\n0.50 -0.473279\n0.75 0.229529\nName: 8499, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45698548538893313, std values: 1.020917965667634, min values: -2.5201815750705507, max values: 4.0, median values: -0.6038461313286071, and quantile values: 0.25 -1.187999\n0.50 -0.603846\n0.75 0.106984\nName: 8500, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.5053375056252438, std values: 1.0971739570232548, min values: -3.0484008792629496, max values: 5.0, median values: -1.9061949469039408, and quantile values: 0.25 -2.220103\n0.50 -1.906195\n0.75 -0.785276\nName: 8501, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04101926590252751, std values: 0.8614976300056952, min values: -2.724017888297919, max values: 3.260388056018088, median values: 0.100093568958121, and quantile values: 0.25 -0.504769\n0.50 0.100094\n0.75 0.601691\nName: 8502, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7289723466014254, std values: 1.1524439210987008, min values: -2.510124273981921, max values: 3.8226908388056136, median values: 0.7922146074296648, and quantile values: 0.25 -0.030794\n0.50 0.792215\n0.75 1.629080\nName: 8503, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11504762597993012, std values: 0.7270755295147138, min values: -2.476285024008804, max values: 3.379902545505621, median values: 0.0889037205155624, and quantile values: 0.25 -0.354004\n0.50 0.088904\n0.75 0.593554\nName: 8504, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22344844640372377, std values: 1.5464219999162085, min values: -2.7605491471423416, max values: 6.0, median values: -0.1120964277949392, and quantile values: 0.25 -1.786578\n0.50 -0.112096\n0.75 0.929814\nName: 8505, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2693810434141005, std values: 0.9838050948212802, min values: -2.6072570508709387, max values: 4.0, median values: -0.1711347958429006, and quantile values: 0.25 -0.891354\n0.50 -0.171135\n0.75 0.406019\nName: 8506, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.2683083148796734, std values: 1.382679043166742, min values: -3.530441124712342, max values: 3.598076523509904, median values: -1.8006808880643794, and quantile values: 0.25 -2.043757\n0.50 -1.800681\n0.75 -1.550001\nName: 8507, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28934705103540603, std values: 0.9198244771532806, min values: -2.6320986139293034, max values: 3.0533207538164056, median values: -0.2733675342011955, and quantile values: 0.25 -0.765842\n0.50 -0.273368\n0.75 0.289292\nName: 8508, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13233157918403207, std values: 0.8001287604915255, min values: -2.4540853055744134, max values: 3.721862465295849, median values: 0.1683126950336661, and quantile values: 0.25 -0.438021\n0.50 0.168313\n0.75 0.707423\nName: 8509, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20346437019973052, std values: 0.7849056515024941, min values: -1.9577826633289284, max values: 3.9905524164385566, median values: 0.2681209317410321, and quantile values: 0.25 -0.309868\n0.50 0.268121\n0.75 0.719076\nName: 8510, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6047379969594818, std values: 1.059368639880895, min values: -2.5689076212724418, max values: 5.0, median values: 0.5132709657839241, and quantile values: 0.25 -0.092748\n0.50 0.513271\n0.75 1.245755\nName: 8511, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.225828859319849, std values: 0.8223311486199576, min values: -2.521882829270847, max values: 4.0, median values: 0.3007693005351095, and quantile values: 0.25 -0.256818\n0.50 0.300769\n0.75 0.736446\nName: 8512, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05652014631981927, std values: 0.7813051051949053, min values: -2.607565022042742, max values: 4.0, median values: 0.0795430037503464, and quantile values: 0.25 -0.460790\n0.50 0.079543\n0.75 0.528418\nName: 8513, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1916301706373811, std values: 0.9711365963171984, min values: -2.138226655046297, max values: 3.0418703198091483, median values: -0.2719448203605782, and quantile values: 0.25 -0.990678\n0.50 -0.271945\n0.75 0.446696\nName: 8514, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4888960907515927, std values: 0.9028346953890432, min values: -2.7314147016889114, max values: 3.0, median values: -0.6470729706472644, and quantile values: 0.25 -1.163468\n0.50 -0.647073\n0.75 -0.000523\nName: 8515, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28541913303063626, std values: 0.963229760618346, min values: -2.7428415536925543, max values: 3.5021977227593246, median values: 0.2795554508223818, and quantile values: 0.25 -0.390322\n0.50 0.279555\n0.75 0.897449\nName: 8516, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12506289696965434, std values: 1.048780345809361, min values: -2.558791007225312, max values: 3.0, median values: -0.1406651520572279, and quantile values: 0.25 -0.752778\n0.50 -0.140665\n0.75 0.605003\nName: 8517, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02039324227560967, std values: 0.8042632259674412, min values: -2.2038853164231766, max values: 3.569037956734876, median values: -0.0232111674184574, and quantile values: 0.25 -0.561452\n0.50 -0.023211\n0.75 0.462954\nName: 8518, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04683591891975058, std values: 0.8912229677474804, min values: -2.622709665346679, max values: 3.477886732511886, median values: -0.053250059057591, and quantile values: 0.25 -0.557157\n0.50 -0.053250\n0.75 0.476856\nName: 8519, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20809683887420838, std values: 0.9060815203097795, min values: -2.9472833478224456, max values: 6.0, median values: -0.34182047722442, and quantile values: 0.25 -0.857304\n0.50 -0.341820\n0.75 0.369352\nName: 8520, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26829263113996815, std values: 1.0414000111914155, min values: -2.7542003929097176, max values: 5.0, median values: -0.4191228583608008, and quantile values: 0.25 -0.995787\n0.50 -0.419123\n0.75 0.420885\nName: 8521, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07586078083985241, std values: 0.9440747766126288, min values: -2.103369962038045, max values: 6.0, median values: -0.1960620048209105, and quantile values: 0.25 -0.789756\n0.50 -0.196062\n0.75 0.554399\nName: 8522, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15277599583325377, std values: 0.8654896033809979, min values: -2.1269862447630747, max values: 6.0, median values: -0.2394892820031898, and quantile values: 0.25 -0.789654\n0.50 -0.239489\n0.75 0.406169\nName: 8523, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.005504445025498755, std values: 0.7954049842969728, min values: -2.739804196611005, max values: 6.0, median values: 0.0117229827211329, and quantile values: 0.25 -0.455121\n0.50 0.011723\n0.75 0.443278\nName: 8524, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2677259373117032, std values: 0.9080196129845132, min values: -2.6412681606926487, max values: 3.0, median values: -0.3757572915325916, and quantile values: 0.25 -1.018922\n0.50 -0.375757\n0.75 0.374887\nName: 8525, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21888429357633096, std values: 0.8525202301870693, min values: -2.0893830184081783, max values: 3.867701659180865, median values: 0.2838589074671999, and quantile values: 0.25 -0.377271\n0.50 0.283859\n0.75 0.825600\nName: 8526, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.013808811510703355, std values: 0.9645208442582951, min values: -2.8350118695332047, max values: 5.0, median values: 0.0489844811123682, and quantile values: 0.25 -0.568365\n0.50 0.048984\n0.75 0.559873\nName: 8527, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38135678319811916, std values: 0.9622923445201129, min values: -2.837386543755612, max values: 4.0, median values: -0.3932820364677231, and quantile values: 0.25 -0.997069\n0.50 -0.393282\n0.75 0.169179\nName: 8528, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1729004493366264, std values: 0.8627673846063914, min values: -2.739804196611005, max values: 6.0, median values: 0.1594928416441862, and quantile values: 0.25 -0.321021\n0.50 0.159493\n0.75 0.740643\nName: 8529, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.682755195300995, std values: 0.9470220230717709, min values: -2.737201088051888, max values: 3.132053530264631, median values: -0.9373783113435892, and quantile values: 0.25 -1.382943\n0.50 -0.937378\n0.75 -0.183360\nName: 8530, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7481955462533743, std values: 1.0330653051496388, min values: -1.922103227964836, max values: 4.0, median values: 0.7644071665475175, and quantile values: 0.25 -0.025284\n0.50 0.764407\n0.75 1.593382\nName: 8531, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16696140716952831, std values: 0.9293595001272119, min values: -2.541693081833126, max values: 3.0, median values: -0.2926537040520148, and quantile values: 0.25 -0.825445\n0.50 -0.292654\n0.75 0.414335\nName: 8532, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4850229678790882, std values: 0.8574206146410167, min values: -2.7428415536925543, max values: 3.867701659180865, median values: 0.5411906505386036, and quantile values: 0.25 -0.117006\n0.50 0.541191\n0.75 1.085379\nName: 8533, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08979167044710695, std values: 0.8688682706367437, min values: -2.0477799217050063, max values: 5.0, median values: -0.1834721125263675, and quantile values: 0.25 -0.747908\n0.50 -0.183472\n0.75 0.483566\nName: 8534, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5979103678046326, std values: 0.9951980439447448, min values: -3.4217036547572723, max values: 3.9048392686725855, median values: 0.6720715874031954, and quantile values: 0.25 0.110464\n0.50 0.672072\n0.75 1.166647\nName: 8535, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13318044034522053, std values: 0.7708141159401073, min values: -2.0239384553809985, max values: 5.0, median values: 0.1706144221784662, and quantile values: 0.25 -0.392185\n0.50 0.170614\n0.75 0.639158\nName: 8536, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5244074162864256, std values: 0.8540642603851797, min values: -2.045960343889241, max values: 5.0, median values: 0.6069110626797508, and quantile values: 0.25 -0.077352\n0.50 0.606911\n0.75 1.191933\nName: 8537, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05198269958936656, std values: 0.9149895924948792, min values: -2.7542003929097176, max values: 5.0, median values: -0.0098793835726349, and quantile values: 0.25 -0.628391\n0.50 -0.009879\n0.75 0.512996\nName: 8538, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7402109961327621, std values: 1.0789560649408134, min values: -2.0073596275557293, max values: 5.0, median values: 0.7591315634674951, and quantile values: 0.25 -0.100141\n0.50 0.759132\n0.75 1.638840\nName: 8539, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4459845427742213, std values: 1.235303737144082, min values: -2.9029979285382743, max values: 3.5581019918925243, median values: -0.5174299233366918, and quantile values: 0.25 -1.278241\n0.50 -0.517430\n0.75 0.374369\nName: 8540, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4893903210870023, std values: 1.0207795771323123, min values: -2.608390851963037, max values: 5.0, median values: -0.5050019592119906, and quantile values: 0.25 -1.269333\n0.50 -0.505002\n0.75 0.179134\nName: 8541, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6512245358312526, std values: 1.0150959561407935, min values: -2.769191083399913, max values: 3.397048482165858, median values: -0.6960833699199809, and quantile values: 0.25 -1.279613\n0.50 -0.696083\n0.75 -0.009785\nName: 8542, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03327478567640246, std values: 0.828244019881036, min values: -2.119621483749997, max values: 4.0, median values: 0.0405442804630975, and quantile values: 0.25 -0.587532\n0.50 0.040544\n0.75 0.711323\nName: 8543, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15192029059486387, std values: 0.8594523527076315, min values: -2.0397470924909658, max values: 3.1841025362512254, median values: -0.2168078831357956, and quantile values: 0.25 -0.776371\n0.50 -0.216808\n0.75 0.375952\nName: 8544, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.024443870672861207, std values: 0.9849302304030381, min values: -2.5906203367024587, max values: 3.0, median values: 0.115702435232125, and quantile values: 0.25 -0.567816\n0.50 0.115702\n0.75 0.656995\nName: 8545, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24640597259402136, std values: 1.2530757405851702, min values: -2.638186942019407, max values: 4.0, median values: 0.0316755060922716, and quantile values: 0.25 -0.696680\n0.50 0.031676\n0.75 1.106647\nName: 8546, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2154331361929672, std values: 1.0176721267109408, min values: -2.63315074164461, max values: 6.0, median values: -0.2584315805765553, and quantile values: 0.25 -0.971859\n0.50 -0.258432\n0.75 0.502811\nName: 8547, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1641931525036582, std values: 1.1870765870604727, min values: -2.558791007225312, max values: 4.278004674434932, median values: 0.1120158857827715, and quantile values: 0.25 -0.792856\n0.50 0.112016\n0.75 1.104794\nName: 8548, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13410900327454103, std values: 0.8938012212686056, min values: -3.0133870328644434, max values: 2.927842705812016, median values: 0.1442817854808899, and quantile values: 0.25 -0.402159\n0.50 0.144282\n0.75 0.628017\nName: 8549, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.051468314011363404, std values: 1.1568706652308465, min values: -2.5293911731823453, max values: 3.319774799707247, median values: 0.3014972846183231, and quantile values: 0.25 -0.524628\n0.50 0.301497\n0.75 0.821927\nName: 8550, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5125490758254252, std values: 0.855578526729069, min values: -2.439930808627264, max values: 4.0, median values: -0.5556585493456628, and quantile values: 0.25 -1.151711\n0.50 -0.555659\n0.75 0.015718\nName: 8551, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2919924196729537, std values: 0.8312037333496061, min values: -2.510124273981921, max values: 3.0, median values: -0.3604979400664324, and quantile values: 0.25 -0.841307\n0.50 -0.360498\n0.75 0.254058\nName: 8552, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23403978711505, std values: 0.8303875965560437, min values: -1.9780458604416296, max values: 5.0, median values: -0.290527289940762, and quantile values: 0.25 -0.911253\n0.50 -0.290527\n0.75 0.333913\nName: 8553, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.00652777762204734, std values: 0.9113069057801211, min values: -1.9764898974341991, max values: 3.5908526919299577, median values: -0.1101593314503709, and quantile values: 0.25 -0.644249\n0.50 -0.110159\n0.75 0.619089\nName: 8554, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.274635534693676, std values: 0.8518126746318001, min values: -2.299460330888208, max values: 4.0, median values: 0.3386901005265675, and quantile values: 0.25 -0.333913\n0.50 0.338690\n0.75 0.901949\nName: 8555, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.041109318447457, std values: 0.8585401866096687, min values: -2.3184884946917497, max values: 6.0, median values: -0.1517436282295418, and quantile values: 0.25 -0.654609\n0.50 -0.151744\n0.75 0.524384\nName: 8556, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08334361746226554, std values: 1.3307732075435479, min values: -2.6270253558526173, max values: 4.026668017837955, median values: -0.1677374030266353, and quantile values: 0.25 -0.972238\n0.50 -0.167737\n0.75 0.682329\nName: 8557, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49614255974248567, std values: 1.2899486799559277, min values: -2.2915911556076085, max values: 4.243835016543704, median values: 0.3257024008637404, and quantile values: 0.25 -0.584690\n0.50 0.325702\n0.75 1.506118\nName: 8558, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07344274564495822, std values: 0.9028268173488896, min values: -2.0545210191658487, max values: 3.1801075704642923, median values: 0.0681910879045159, and quantile values: 0.25 -0.635924\n0.50 0.068191\n0.75 0.810852\nName: 8559, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40635181845837703, std values: 0.8318715610800612, min values: -2.000349515680643, max values: 3.036311757241655, median values: 0.4940065523821157, and quantile values: 0.25 -0.166012\n0.50 0.494007\n0.75 1.003357\nName: 8560, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06985460828503381, std values: 0.771663770233165, min values: -1.93510536250329, max values: 3.281452258958016, median values: 0.0716738677614282, and quantile values: 0.25 -0.448603\n0.50 0.071674\n0.75 0.553122\nName: 8561, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19292456143446995, std values: 0.8548272616499544, min values: -2.1217267615601973, max values: 6.0, median values: -0.267777954708583, and quantile values: 0.25 -0.887402\n0.50 -0.267778\n0.75 0.411453\nName: 8562, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15486230837821366, std values: 0.9232337895918318, min values: -2.7314147016889114, max values: 3.349054967837474, median values: 0.2081776824842326, and quantile values: 0.25 -0.394074\n0.50 0.208178\n0.75 0.737097\nName: 8563, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5665875824599468, std values: 0.852003887482462, min values: -1.946696901846344, max values: 5.0, median values: 0.6154860235728948, and quantile values: 0.25 -0.016800\n0.50 0.615486\n0.75 1.169589\nName: 8564, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35825521130951615, std values: 0.9394500299313394, min values: -2.1238235090034925, max values: 5.0, median values: 0.4536248293964278, and quantile values: 0.25 -0.302470\n0.50 0.453625\n0.75 1.043385\nName: 8565, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4675748523963163, std values: 0.812975277102733, min values: -2.3808324358856225, max values: 3.5427287984042666, median values: 0.5655407023977317, and quantile values: 0.25 -0.038950\n0.50 0.565541\n0.75 1.025097\nName: 8566, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3004260627013179, std values: 1.114527986184029, min values: -2.558791007225312, max values: 3.124705982383484, median values: -0.3845136428766673, and quantile values: 0.25 -1.261648\n0.50 -0.384514\n0.75 0.508773\nName: 8567, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09509374044720924, std values: 0.7889926127015434, min values: -2.0181768990626923, max values: 4.026668017837955, median values: -0.194602378574792, and quantile values: 0.25 -0.605463\n0.50 -0.194602\n0.75 0.342738\nName: 8568, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.056440687284154814, std values: 0.8745932156061746, min values: -2.7825548156447035, max values: 6.0, median values: 0.1731751788726746, and quantile values: 0.25 -0.535810\n0.50 0.173175\n0.75 0.690285\nName: 8569, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3528930291138912, std values: 1.0396701352286661, min values: -2.7939007019027, max values: 3.2696814875916886, median values: 0.408496293066501, and quantile values: 0.25 -0.311448\n0.50 0.408496\n0.75 1.055618\nName: 8570, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03884005214341768, std values: 1.1521435371431097, min values: -2.769191083399913, max values: 3.0, median values: 0.2997169506352272, and quantile values: 0.25 -0.493927\n0.50 0.299717\n0.75 0.871751\nName: 8571, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5759537717446969, std values: 0.9274759586383023, min values: -3.3126932323446474, max values: 3.306454397423372, median values: -0.7307151843609373, and quantile values: 0.25 -1.300851\n0.50 -0.730715\n0.75 0.069262\nName: 8572, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1160003406692287, std values: 0.8814487151835729, min values: -2.609385158408876, max values: 4.0, median values: 0.1997129057870949, and quantile values: 0.25 -0.440281\n0.50 0.199713\n0.75 0.740131\nName: 8573, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1911842983193906, std values: 0.80704029873558, min values: -2.0549499710103847, max values: 3.0, median values: -0.2437184123185946, and quantile values: 0.25 -0.796716\n0.50 -0.243718\n0.75 0.341833\nName: 8574, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4078314804790451, std values: 0.7572315958681772, min values: -2.45229857681487, max values: 3.0876051304901218, median values: 0.4381118459132249, and quantile values: 0.25 -0.073983\n0.50 0.438112\n0.75 0.864735\nName: 8575, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42364128482595026, std values: 0.8432300340047645, min values: -2.226625492124457, max values: 3.281452258958016, median values: -0.4448513826155904, and quantile values: 0.25 -1.057932\n0.50 -0.444851\n0.75 0.084570\nName: 8576, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04438963220154382, std values: 1.125910640541142, min values: -2.607565022042742, max values: 4.0, median values: 0.0491774886362019, and quantile values: 0.25 -0.993694\n0.50 0.049177\n0.75 0.836140\nName: 8577, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10093368608309367, std values: 1.2180024743437634, min values: -2.6820581866633817, max values: 3.2696814875916886, median values: 0.1421185502110015, and quantile values: 0.25 -0.784025\n0.50 0.142119\n0.75 1.098766\nName: 8578, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07293561337651039, std values: 0.9035608344459956, min values: -2.0884920198234647, max values: 3.867701659180865, median values: -0.0355607465603696, and quantile values: 0.25 -0.586297\n0.50 -0.035561\n0.75 0.703331\nName: 8579, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4700248472167682, std values: 1.2877556450508292, min values: -2.92272757463548, max values: 6.0, median values: -0.6749200446284606, and quantile values: 0.25 -1.433619\n0.50 -0.674920\n0.75 0.321594\nName: 8580, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07381153080391556, std values: 0.7674139776835764, min values: -2.164983805198548, max values: 5.0, median values: -0.1472321279797732, and quantile values: 0.25 -0.614915\n0.50 -0.147232\n0.75 0.408353\nName: 8581, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11882624122507987, std values: 0.9316290824908313, min values: -3.447534482420193, max values: 2.866305441355491, median values: 0.1995629594665697, and quantile values: 0.25 -0.405184\n0.50 0.199563\n0.75 0.720468\nName: 8582, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.010189916466924227, std values: 0.7848342082399967, min values: -2.077797959314264, max values: 6.0, median values: -0.0066645630959362, and quantile values: 0.25 -0.540617\n0.50 -0.006665\n0.75 0.478862\nName: 8583, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1648255142613007, std values: 0.8642930851572999, min values: -2.815821936576896, max values: 3.236860296211547, median values: -0.1180870533451309, and quantile values: 0.25 -0.649835\n0.50 -0.118087\n0.75 0.357271\nName: 8584, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2824935449046679, std values: 0.8161978941291682, min values: -2.47227496989967, max values: 3.025409039429847, median values: 0.3345432277375797, and quantile values: 0.25 -0.270841\n0.50 0.334543\n0.75 0.837860\nName: 8585, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1958737071432238, std values: 0.9767827615898789, min values: -2.634919142586459, max values: 6.0, median values: -0.2744717450768551, and quantile values: 0.25 -1.006734\n0.50 -0.274472\n0.75 0.459004\nName: 8586, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07836793549017279, std values: 0.9549275385318936, min values: -2.622408470084112, max values: 3.379902545505621, median values: 0.1576243669110526, and quantile values: 0.25 -0.536351\n0.50 0.157624\n0.75 0.801041\nName: 8587, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42176244275218044, std values: 0.8120023771968965, min values: -2.687282238908512, max values: 3.867701659180865, median values: -0.52747820543129, and quantile values: 0.25 -1.017673\n0.50 -0.527478\n0.75 0.063742\nName: 8588, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16516424973754154, std values: 1.09355920776453, min values: -2.815821936576896, max values: 3.867701659180865, median values: -0.0033088366629428, and quantile values: 0.25 -0.806558\n0.50 -0.003309\n0.75 0.614515\nName: 8589, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15905886129343108, std values: 0.8956746089386243, min values: -2.8451834694312192, max values: 3.477886732511886, median values: -0.2863942537709819, and quantile values: 0.25 -0.828045\n0.50 -0.286394\n0.75 0.481118\nName: 8590, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17783325701997765, std values: 0.8250897835619003, min values: -2.085975048264995, max values: 5.0, median values: 0.2675634386275285, and quantile values: 0.25 -0.428613\n0.50 0.267563\n0.75 0.774353\nName: 8591, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30560633426121864, std values: 0.7926926400057298, min values: -2.1707581145338786, max values: 5.0, median values: 0.229334828099247, and quantile values: 0.25 -0.254143\n0.50 0.229335\n0.75 0.852067\nName: 8592, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7224831224577503, std values: 1.1301425653641728, min values: -2.9622221028070275, max values: 4.0, median values: -0.8020526165909954, and quantile values: 0.25 -1.631820\n0.50 -0.802053\n0.75 0.101234\nName: 8593, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30627165299732406, std values: 1.102817876855304, min values: -2.5743883495350026, max values: 5.0, median values: 0.2680772469003039, and quantile values: 0.25 -0.323635\n0.50 0.268077\n0.75 1.004830\nName: 8594, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2061856556978813, std values: 1.2222317714746087, min values: -2.855306289371099, max values: 6.0, median values: 0.209047241536031, and quantile values: 0.25 -0.533809\n0.50 0.209047\n0.75 1.010721\nName: 8595, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.48271901717632154, std values: 0.954784027840793, min values: -2.470245220537643, max values: 3.055874031381882, median values: -0.6044125328152, and quantile values: 0.25 -1.282024\n0.50 -0.604413\n0.75 0.179951\nName: 8596, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.289561482867551, std values: 1.0930061741246848, min values: -2.8563982925340614, max values: 5.0, median values: -0.3167711312016849, and quantile values: 0.25 -1.031500\n0.50 -0.316771\n0.75 0.456222\nName: 8597, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22997794624903212, std values: 0.8879028528970881, min values: -2.193998009850964, max values: 4.0, median values: -0.254108621836257, and quantile values: 0.25 -0.865686\n0.50 -0.254109\n0.75 0.291044\nName: 8598, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0036812767693213356, std values: 0.9459073077280741, min values: -2.162123508609361, max values: 5.0, median values: -0.0809160957136805, and quantile values: 0.25 -0.658567\n0.50 -0.080916\n0.75 0.625904\nName: 8599, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2944311942420973, std values: 0.8468810983003758, min values: -2.608390851963037, max values: 5.0, median values: -0.2707923353100996, and quantile values: 0.25 -0.812692\n0.50 -0.270792\n0.75 0.225347\nName: 8600, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21423908255823715, std values: 0.9054340166833947, min values: -2.8246479422601736, max values: 6.0, median values: -0.1564822052390193, and quantile values: 0.25 -0.816035\n0.50 -0.156482\n0.75 0.380993\nName: 8601, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0865077708843695, std values: 0.9298543879405583, min values: -2.4657737907743, max values: 3.4217036547572275, median values: 0.1299649527317734, and quantile values: 0.25 -0.545766\n0.50 0.129965\n0.75 0.703482\nName: 8602, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02473419630907904, std values: 0.8277455596237452, min values: -2.482931728382393, max values: 3.0, median values: 0.006641344576697, and quantile values: 0.25 -0.576151\n0.50 0.006641\n0.75 0.530088\nName: 8603, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05132459774558829, std values: 0.8564058943627231, min values: -2.1052796288777285, max values: 5.0, median values: 0.0621411209792368, and quantile values: 0.25 -0.557019\n0.50 0.062141\n0.75 0.668968\nName: 8604, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27900804864087947, std values: 0.7689730292741775, min values: -2.4536054974529624, max values: 6.0, median values: -0.3752922931554942, and quantile values: 0.25 -0.786596\n0.50 -0.375292\n0.75 0.172341\nName: 8605, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29730157658222073, std values: 0.9158234963100765, min values: -2.855306289371099, max values: 6.0, median values: -0.3778268614167146, and quantile values: 0.25 -1.007008\n0.50 -0.377827\n0.75 0.310349\nName: 8606, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36338190337330434, std values: 0.8002296185325025, min values: -2.4788285026914285, max values: 4.0, median values: 0.3866521467595256, and quantile values: 0.25 -0.172389\n0.50 0.386652\n0.75 0.887037\nName: 8607, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7823705704906321, std values: 0.9866249982795938, min values: -2.142854198138545, max values: 5.0, median values: 0.8988683758405549, and quantile values: 0.25 0.106366\n0.50 0.898868\n0.75 1.509379\nName: 8608, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.023483475328442277, std values: 0.8292739790522979, min values: -2.475272102106495, max values: 4.0, median values: 0.0538654381374179, and quantile values: 0.25 -0.528837\n0.50 0.053865\n0.75 0.541892\nName: 8609, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09514011342543686, std values: 0.9198510012283876, min values: -2.93129584560762, max values: 6.0, median values: -0.0861359908436035, and quantile values: 0.25 -0.631850\n0.50 -0.086136\n0.75 0.479850\nName: 8610, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21182720747763195, std values: 0.8747826716850258, min values: -2.300042081328127, max values: 4.0, median values: 0.2245841574513967, and quantile values: 0.25 -0.415547\n0.50 0.224584\n0.75 0.900419\nName: 8611, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14235348858927252, std values: 1.1202344602154195, min values: -2.0545210191658487, max values: 3.3760121766849016, median values: 0.0178449979316957, and quantile values: 0.25 -0.715087\n0.50 0.017845\n0.75 0.901452\nName: 8612, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10441022445247805, std values: 0.9776404544419488, min values: -2.679056533720636, max values: 5.0, median values: 0.0852582971691121, and quantile values: 0.25 -0.563711\n0.50 0.085258\n0.75 0.759947\nName: 8613, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10167037649604418, std values: 0.9438222697212563, min values: -2.9898739724800576, max values: 3.349054967837474, median values: -0.2045562057002771, and quantile values: 0.25 -0.769196\n0.50 -0.204556\n0.75 0.511061\nName: 8614, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38008970355878635, std values: 0.925070751747714, min values: -2.239287908973021, max values: 3.477886732511886, median values: -0.4574130259286156, and quantile values: 0.25 -1.109462\n0.50 -0.457413\n0.75 0.269362\nName: 8615, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04867113545763899, std values: 0.9453914816660758, min values: -2.673124659932621, max values: 6.0, median values: -0.0775989827217234, and quantile values: 0.25 -0.639597\n0.50 -0.077599\n0.75 0.522622\nName: 8616, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11132189987344217, std values: 0.9515234388949575, min values: -2.1103582417935702, max values: 4.243835016543704, median values: -0.0873221689332253, and quantile values: 0.25 -0.880198\n0.50 -0.087322\n0.75 0.601964\nName: 8617, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10082214532950694, std values: 0.8963713084990391, min values: -2.5689076212724418, max values: 5.0, median values: -0.1568650270889193, and quantile values: 0.25 -0.812692\n0.50 -0.156865\n0.75 0.485947\nName: 8618, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19614352225385961, std values: 0.8208193525172259, min values: -2.8282523283494294, max values: 4.0, median values: 0.2602635145892663, and quantile values: 0.25 -0.364109\n0.50 0.260264\n0.75 0.810786\nName: 8619, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.051964001928396564, std values: 1.380026945380653, min values: -2.933035609461076, max values: 5.0, median values: 0.3339882450255163, and quantile values: 0.25 -0.890714\n0.50 0.333988\n0.75 1.168171\nName: 8620, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3709075673218763, std values: 1.1903361310953287, min values: -2.873069976951463, max values: 3.197902420311553, median values: -0.0944893576489521, and quantile values: 0.25 -1.244957\n0.50 -0.094489\n0.75 0.436171\nName: 8621, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4927549313713176, std values: 1.197897218625257, min values: -2.8998169811239416, max values: 3.867701659180865, median values: 0.4792405308069484, and quantile values: 0.25 -0.346362\n0.50 0.479241\n0.75 1.484388\nName: 8622, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8134430585238199, std values: 0.8359846464919689, min values: -2.928515832252388, max values: 3.0, median values: -0.9930746151552704, and quantile values: 0.25 -1.455827\n0.50 -0.993075\n0.75 -0.334938\nName: 8623, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16179463315818393, std values: 1.026420687919766, min values: -2.879968592907284, max values: 4.0, median values: 0.3273871524601367, and quantile values: 0.25 -0.389736\n0.50 0.327387\n0.75 0.872677\nName: 8624, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.039031630318161536, std values: 1.1317343635312593, min values: -2.9797100147087465, max values: 5.0, median values: 0.1469189591135541, and quantile values: 0.25 -0.642776\n0.50 0.146919\n0.75 0.690345\nName: 8625, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2694928493983785, std values: 0.8153865594595086, min values: -2.4737574649270093, max values: 3.0, median values: -0.3534474460695251, and quantile values: 0.25 -0.904226\n0.50 -0.353447\n0.75 0.289129\nName: 8626, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17435145115753642, std values: 0.7214584318670819, min values: -2.071166690331113, max values: 3.0, median values: -0.1711906872177582, and quantile values: 0.25 -0.642999\n0.50 -0.171191\n0.75 0.251158\nName: 8627, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22369142148574042, std values: 0.9723827152139158, min values: -2.769191083399913, max values: 3.0, median values: -0.1427393118982639, and quantile values: 0.25 -0.858910\n0.50 -0.142739\n0.75 0.394687\nName: 8628, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5083784168350718, std values: 0.8590202077917395, min values: -2.607565022042742, max values: 4.0, median values: -0.6267505579985493, and quantile values: 0.25 -1.093637\n0.50 -0.626751\n0.75 0.015615\nName: 8629, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0725901015309649, std values: 0.842414656362596, min values: -2.5689076212724418, max values: 5.0, median values: 0.0637854849710672, and quantile values: 0.25 -0.509826\n0.50 0.063785\n0.75 0.579633\nName: 8630, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.046072333966449774, std values: 0.9060094044289704, min values: -2.271143658239337, max values: 6.0, median values: -0.1022553452769296, and quantile values: 0.25 -0.668693\n0.50 -0.102255\n0.75 0.524194\nName: 8631, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25803070993346966, std values: 0.9087014638621492, min values: -2.5953860446419177, max values: 5.0, median values: 0.3649917607535731, and quantile values: 0.25 -0.289005\n0.50 0.364992\n0.75 0.928867\nName: 8632, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29061181749413384, std values: 1.1343105611686126, min values: -2.928515832252388, max values: 3.5427287984042666, median values: -0.2251391161897933, and quantile values: 0.25 -0.932110\n0.50 -0.225139\n0.75 0.491231\nName: 8633, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11862539552169521, std values: 0.8480974293605028, min values: -2.471746735825404, max values: 3.9048392686725855, median values: -0.1040658176250006, and quantile values: 0.25 -0.725869\n0.50 -0.104066\n0.75 0.404733\nName: 8634, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4380931181621442, std values: 0.8974547154489628, min values: -2.687115288423959, max values: 5.0, median values: -0.5071332521227465, and quantile values: 0.25 -1.050722\n0.50 -0.507133\n0.75 0.134743\nName: 8635, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14347736470007527, std values: 1.1159468643303303, min values: -2.981718296512785, max values: 5.0, median values: -0.2404866072182834, and quantile values: 0.25 -1.024166\n0.50 -0.240487\n0.75 0.628362\nName: 8636, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28829285339651306, std values: 1.1133737666510566, min values: -2.607565022042742, max values: 4.278004674434932, median values: -0.3172055050455394, and quantile values: 0.25 -1.021239\n0.50 -0.317206\n0.75 0.468541\nName: 8637, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09689690936052837, std values: 0.8901262445674663, min values: -2.4705236352348297, max values: 3.598076523509904, median values: 0.1453423374889902, and quantile values: 0.25 -0.554537\n0.50 0.145342\n0.75 0.718760\nName: 8638, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03664095380673584, std values: 0.7818621287094955, min values: -2.104270394087118, max values: 2.9602605313227603, median values: -0.0518773626590843, and quantile values: 0.25 -0.492619\n0.50 -0.051877\n0.75 0.510265\nName: 8639, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5110413224386322, std values: 0.912419409506625, min values: -2.105967784650795, max values: 4.0, median values: 0.5886150522911202, and quantile values: 0.25 -0.103401\n0.50 0.588615\n0.75 1.120950\nName: 8640, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13102770463665098, std values: 0.8918791489134545, min values: -2.5953860446419177, max values: 5.0, median values: 0.1964831283538297, and quantile values: 0.25 -0.438779\n0.50 0.196483\n0.75 0.707180\nName: 8641, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.015106619035912322, std values: 0.9634614177342269, min values: -2.497627580948261, max values: 3.071353155688046, median values: 0.1291663194181826, and quantile values: 0.25 -0.551005\n0.50 0.129166\n0.75 0.685839\nName: 8642, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.1226428389301657, std values: 1.250681087262556, min values: -2.727901130262228, max values: 4.0, median values: -1.6924813923394355, and quantile values: 0.25 -2.140406\n0.50 -1.692481\n0.75 -0.023714\nName: 8643, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5579972012445183, std values: 1.1373271908521745, min values: -2.0785509901574097, max values: 3.528773265847577, median values: 0.556715794198062, and quantile values: 0.25 -0.347883\n0.50 0.556716\n0.75 1.512970\nName: 8644, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26503279168494875, std values: 0.9104816102299176, min values: -2.5953860446419177, max values: 3.5908526919299577, median values: -0.2832438078563902, and quantile values: 0.25 -0.889632\n0.50 -0.283244\n0.75 0.322974\nName: 8645, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14525543869972934, std values: 1.028338699919023, min values: -2.196708653609315, max values: 6.0, median values: 0.1113116079625801, and quantile values: 0.25 -0.619347\n0.50 0.111312\n0.75 0.854612\nName: 8646, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24062145491837228, std values: 0.8187271545370606, min values: -2.141215707937866, max values: 3.3636961113187773, median values: 0.1899762691645148, and quantile values: 0.25 -0.341570\n0.50 0.189976\n0.75 0.780211\nName: 8647, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8169582451668568, std values: 0.8468688093770765, min values: -2.928515832252388, max values: 5.0, median values: -0.8299448163121502, and quantile values: 0.25 -1.359227\n0.50 -0.829945\n0.75 -0.317067\nName: 8648, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0612771383006211, std values: 1.085885949560187, min values: -2.622709665346679, max values: 3.434669824302974, median values: -0.004679648964195, and quantile values: 0.25 -0.621923\n0.50 -0.004680\n0.75 0.622786\nName: 8649, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.008510710175512831, std values: 0.9497373862680552, min values: -2.799990485600992, max values: 5.0, median values: -0.0971460448015034, and quantile values: 0.25 -0.750271\n0.50 -0.097146\n0.75 0.620349\nName: 8650, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3325803807137453, std values: 0.8273557521903306, min values: -2.693453432157769, max values: 3.0774992973297404, median values: 0.4512147753952926, and quantile values: 0.25 -0.205667\n0.50 0.451215\n0.75 0.899152\nName: 8651, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6191919802529761, std values: 0.9121907582754092, min values: -1.97877142617342, max values: 6.0, median values: 0.6654821745284958, and quantile values: 0.25 -0.032716\n0.50 0.665482\n0.75 1.328595\nName: 8652, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2112846876187979, std values: 0.8027225308463403, min values: -2.066806605942469, max values: 6.0, median values: 0.2030009928247376, and quantile values: 0.25 -0.319827\n0.50 0.203001\n0.75 0.727877\nName: 8653, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5961180692500452, std values: 0.8799381837568525, min values: -3.062179113294277, max values: 2.9878163550503385, median values: -0.6690371747380867, and quantile values: 0.25 -1.297042\n0.50 -0.669037\n0.75 -0.001985\nName: 8654, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5205706327839142, std values: 0.8899469106885083, min values: -2.162894146841542, max values: 3.518664430018096, median values: -0.6956939289024928, and quantile values: 0.25 -1.182401\n0.50 -0.695694\n0.75 0.006637\nName: 8655, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0036909550335723486, std values: 0.9618138832226247, min values: -2.5445249319512966, max values: 3.0, median values: 0.0997196392742482, and quantile values: 0.25 -0.594257\n0.50 0.099720\n0.75 0.620464\nName: 8656, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1768868272037079, std values: 0.9790620016160922, min values: -2.8531572940820533, max values: 3.630507857092792, median values: -0.2213106559082184, and quantile values: 0.25 -0.862326\n0.50 -0.221311\n0.75 0.485826\nName: 8657, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13963433460242206, std values: 0.8373984636371609, min values: -2.099755160224712, max values: 6.0, median values: 0.1564254868260324, and quantile values: 0.25 -0.429941\n0.50 0.156425\n0.75 0.694645\nName: 8658, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3040314371516997, std values: 0.8485511425402202, min values: -2.733804248449497, max values: 3.390469008396469, median values: -0.360422277334107, and quantile values: 0.25 -0.813272\n0.50 -0.360422\n0.75 0.175269\nName: 8659, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09644918105975792, std values: 0.848458488934607, min values: -2.037108201786327, max values: 5.0, median values: 0.0009453803194522, and quantile values: 0.25 -0.466697\n0.50 0.000945\n0.75 0.638280\nName: 8660, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2984478971122222, std values: 0.8053543616557641, min values: -2.1296382068987767, max values: 4.0, median values: 0.3535203788128816, and quantile values: 0.25 -0.218357\n0.50 0.353520\n0.75 0.826724\nName: 8661, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1043387219802635, std values: 0.8136328852277349, min values: -2.275531026921315, max values: 6.0, median values: -0.1566257607422863, and quantile values: 0.25 -0.655662\n0.50 -0.156626\n0.75 0.386932\nName: 8662, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8535912903470906, std values: 1.204638840400517, min values: -2.727901130262228, max values: 4.0, median values: -0.695483206934816, and quantile values: 0.25 -2.033374\n0.50 -0.695483\n0.75 0.067329\nName: 8663, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06459745767036765, std values: 1.0817010562134826, min values: -2.8467638118011016, max values: 5.0, median values: 0.0003580110774149, and quantile values: 0.25 -0.831513\n0.50 0.000358\n0.75 0.732352\nName: 8664, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11446595009404575, std values: 0.8942369133904243, min values: -2.103801947435861, max values: 5.0, median values: -0.1705424795848047, and quantile values: 0.25 -0.824207\n0.50 -0.170542\n0.75 0.493553\nName: 8665, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41451629435869797, std values: 0.8111160746813415, min values: -2.584593648802428, max values: 3.1485882570365185, median values: 0.4703240893683642, and quantile values: 0.25 -0.056588\n0.50 0.470324\n0.75 0.932548\nName: 8666, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12186977693393228, std values: 0.7802338324247131, min values: -2.094387655371891, max values: 4.0, median values: -0.1982241428825339, and quantile values: 0.25 -0.699492\n0.50 -0.198224\n0.75 0.417169\nName: 8667, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10102858031358425, std values: 0.9621944139829786, min values: -2.521882829270847, max values: 4.0, median values: 0.1715017868970473, and quantile values: 0.25 -0.637139\n0.50 0.171502\n0.75 0.832045\nName: 8668, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06395967464290822, std values: 0.8247607280294332, min values: -2.2915911556076085, max values: 3.0, median values: -0.1749086091491286, and quantile values: 0.25 -0.617985\n0.50 -0.174909\n0.75 0.439325\nName: 8669, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.043536222158395595, std values: 0.8449658804319901, min values: -2.6320986139293034, max values: 3.0, median values: -0.0265234679993561, and quantile values: 0.25 -0.660621\n0.50 -0.026523\n0.75 0.540298\nName: 8670, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16715087135182113, std values: 0.8839423899428959, min values: -2.5445249319512966, max values: 3.5581019918925243, median values: 0.2167594902670951, and quantile values: 0.25 -0.457138\n0.50 0.216759\n0.75 0.819728\nName: 8671, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5241879756944821, std values: 1.2315293275005446, min values: -2.4823451998031074, max values: 3.721862465295849, median values: 0.5420516795343097, and quantile values: 0.25 -0.378714\n0.50 0.542052\n0.75 1.591034\nName: 8672, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.48491435472192956, std values: 1.0272499572779337, min values: -2.093800662299286, max values: 3.9048392686725855, median values: 0.3440530158334667, and quantile values: 0.25 -0.220575\n0.50 0.344053\n0.75 1.131370\nName: 8673, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06699122836221032, std values: 0.8931504365393934, min values: -2.687115288423959, max values: 5.0, median values: -0.1002360891467782, and quantile values: 0.25 -0.774225\n0.50 -0.100236\n0.75 0.555562\nName: 8674, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1867278373116136, std values: 0.9117542985697319, min values: -3.101800431129944, max values: 6.0, median values: -0.2523514925513267, and quantile values: 0.25 -0.765579\n0.50 -0.252351\n0.75 0.324512\nName: 8675, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7980733423759416, std values: 1.09874071058807, min values: -2.825926939679757, max values: 3.477886732511886, median values: -0.7056948265711906, and quantile values: 0.25 -1.707519\n0.50 -0.705695\n0.75 -0.067109\nName: 8676, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5602249130401594, std values: 0.9970270582302517, min values: -2.148911733821594, max values: 3.477886732511886, median values: 0.637132296963502, and quantile values: 0.25 -0.058389\n0.50 0.637132\n0.75 1.271413\nName: 8677, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.021738451203137096, std values: 1.2718614709246596, min values: -2.1771945950534657, max values: 3.8226908388056136, median values: -0.1011862759121502, and quantile values: 0.25 -1.147526\n0.50 -0.101186\n0.75 0.973832\nName: 8678, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3990301584510417, std values: 1.016486755243621, min values: -2.576018450691392, max values: 4.0, median values: -0.5611642825135991, and quantile values: 0.25 -1.172541\n0.50 -0.561164\n0.75 0.299816\nName: 8679, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05478621267091026, std values: 0.8216300249105275, min values: -2.374446373878101, max values: 4.0, median values: -0.1241903291091144, and quantile values: 0.25 -0.621180\n0.50 -0.124190\n0.75 0.458575\nName: 8680, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3161307792334063, std values: 0.8350532543152206, min values: -2.062772413318988, max values: 6.0, median values: -0.4311595365058696, and quantile values: 0.25 -0.893606\n0.50 -0.431160\n0.75 0.182268\nName: 8681, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27234977911551617, std values: 0.9294213301457084, min values: -1.995451107828815, max values: 3.3483277116524426, median values: 0.3123981270939546, and quantile values: 0.25 -0.354074\n0.50 0.312398\n0.75 0.897037\nName: 8682, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5039395838897742, std values: 1.024900755281062, min values: -2.226424194672579, max values: 4.0, median values: 0.5486481977032058, and quantile values: 0.25 -0.279605\n0.50 0.548648\n0.75 1.318176\nName: 8683, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43177236402333796, std values: 0.9873085921295004, min values: -2.64479559868397, max values: 6.0, median values: -0.4812297726043028, and quantile values: 0.25 -1.195635\n0.50 -0.481230\n0.75 0.225064\nName: 8684, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1964833613391639, std values: 0.7852645771307317, min values: -2.7648443048846945, max values: 3.397048482165858, median values: 0.1175601617943227, and quantile values: 0.25 -0.371415\n0.50 0.117560\n0.75 0.719678\nName: 8685, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2320893459912891, std values: 0.8034605844832837, min values: -2.5774281843044924, max values: 4.0, median values: -0.2480595538809989, and quantile values: 0.25 -0.761676\n0.50 -0.248060\n0.75 0.244284\nName: 8686, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4779000554686764, std values: 0.9805119858933657, min values: -2.6701936393964454, max values: 4.243835016543704, median values: 0.4596343140475732, and quantile values: 0.25 -0.166060\n0.50 0.459634\n0.75 1.088938\nName: 8687, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.8606895843214322, std values: 1.1534147556722154, min values: -2.982771139679002, max values: 4.278004674434932, median values: -2.1259194601333946, and quantile values: 0.25 -2.419659\n0.50 -2.125919\n0.75 -1.857972\nName: 8688, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.005470383012785464, std values: 0.8818480980275425, min values: -2.838932175687192, max values: 4.0, median values: -0.076793011642168, and quantile values: 0.25 -0.616772\n0.50 -0.076793\n0.75 0.584592\nName: 8689, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20052961212800152, std values: 0.9066595005229668, min values: -2.264034258932616, max values: 3.0876051304901218, median values: -0.2132523519060375, and quantile values: 0.25 -0.916855\n0.50 -0.213252\n0.75 0.427859\nName: 8690, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22427714816993682, std values: 0.8089138898279788, min values: -2.1098479262714123, max values: 6.0, median values: 0.2757071325385171, and quantile values: 0.25 -0.317234\n0.50 0.275707\n0.75 0.801660\nName: 8691, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13933870807738485, std values: 0.7820720051433446, min values: -2.572123985342288, max values: 4.0, median values: -0.2066007332852668, and quantile values: 0.25 -0.647082\n0.50 -0.206601\n0.75 0.281060\nName: 8692, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.542638879626754, std values: 0.8653884487516182, min values: -2.62876542141649, max values: 3.096891534584617, median values: -0.6727846379065983, and quantile values: 0.25 -1.184786\n0.50 -0.672785\n0.75 -0.032144\nName: 8693, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6844496536841204, std values: 1.3220829502709994, min values: -2.933035609461076, max values: 5.0, median values: -0.6986119866816457, and quantile values: 0.25 -1.948549\n0.50 -0.698612\n0.75 0.297256\nName: 8694, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27574555637793613, std values: 1.1717652480702387, min values: -3.0484008792629496, max values: 5.0, median values: -0.1892445907926746, and quantile values: 0.25 -1.078978\n0.50 -0.189245\n0.75 0.550517\nName: 8695, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2855390334028323, std values: 1.0833544660917593, min values: -2.6603025395856053, max values: 5.0, median values: 0.2623434980799984, and quantile values: 0.25 -0.447072\n0.50 0.262343\n0.75 1.111870\nName: 8696, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6993824900453555, std values: 1.2993837026164596, min values: -2.038821196059156, max values: 5.0, median values: 0.5179652265241661, and quantile values: 0.25 -0.314036\n0.50 0.517965\n0.75 1.792138\nName: 8697, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5030698536575465, std values: 0.8103238011207877, min values: -2.245752867605861, max values: 3.721862465295849, median values: 0.5596710093000848, and quantile values: 0.25 -0.049564\n0.50 0.559671\n0.75 1.066396\nName: 8698, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20605357919188214, std values: 0.9097335247082439, min values: -2.737201088051888, max values: 3.434669824302974, median values: -0.2267311187179317, and quantile values: 0.25 -0.946914\n0.50 -0.226731\n0.75 0.426622\nName: 8699, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04832237245484563, std values: 0.7564897980784284, min values: -2.461308921153724, max values: 3.0, median values: 0.0394740846598196, and quantile values: 0.25 -0.442053\n0.50 0.039474\n0.75 0.530414\nName: 8700, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23957204156005138, std values: 0.8855364117365004, min values: -2.507084845405409, max values: 3.0148736195915853, median values: 0.1834586792952666, and quantile values: 0.25 -0.321992\n0.50 0.183459\n0.75 0.835595\nName: 8701, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40520245900330665, std values: 0.9349636972971829, min values: -2.6270253558526173, max values: 4.243835016543704, median values: -0.3964253284211788, and quantile values: 0.25 -1.037473\n0.50 -0.396425\n0.75 0.161724\nName: 8702, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.9593273136138581, std values: 1.1523250072091695, min values: -2.5201815750705507, max values: 4.0, median values: 1.1329382945656423, and quantile values: 0.25 0.268934\n0.50 1.132938\n0.75 1.820399\nName: 8703, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18417388733170448, std values: 0.813090864202206, min values: -1.9251718191674347, max values: 3.5908526919299577, median values: -0.2785402514675004, and quantile values: 0.25 -0.768878\n0.50 -0.278540\n0.75 0.304120\nName: 8704, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02151857951034779, std values: 0.8569216066773437, min values: -2.0600063421362025, max values: 3.216771431244405, median values: 0.086563000907187, and quantile values: 0.25 -0.573713\n0.50 0.086563\n0.75 0.549563\nName: 8705, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3193914127792798, std values: 0.8669936981731603, min values: -2.6685266729136536, max values: 6.0, median values: -0.4277378185179016, and quantile values: 0.25 -0.944037\n0.50 -0.427738\n0.75 0.191974\nName: 8706, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5202951967085903, std values: 0.8847544732406308, min values: -2.810662060852592, max values: 3.528773265847577, median values: -0.6266930315404649, and quantile values: 0.25 -1.224394\n0.50 -0.626693\n0.75 0.082408\nName: 8707, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25011346054234784, std values: 0.8578822791820027, min values: -2.510124273981921, max values: 3.0, median values: -0.2357259234506031, and quantile values: 0.25 -0.839974\n0.50 -0.235726\n0.75 0.294085\nName: 8708, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.024279988182509076, std values: 0.7819342183152496, min values: -2.510287718828057, max values: 4.0, median values: -0.0280341939506261, and quantile values: 0.25 -0.534390\n0.50 -0.028034\n0.75 0.467435\nName: 8709, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2261078240457891, std values: 0.77242323893963, min values: -2.580492024304656, max values: 3.0, median values: 0.1860310986948995, and quantile values: 0.25 -0.273677\n0.50 0.186031\n0.75 0.715978\nName: 8710, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11124682618654894, std values: 0.7937296755140786, min values: -2.368155702357123, max values: 3.076680642207697, median values: 0.0460562918162973, and quantile values: 0.25 -0.435105\n0.50 0.046056\n0.75 0.621237\nName: 8711, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10557523977791924, std values: 1.1268403946712036, min values: -2.740813841730953, max values: 3.0, median values: 0.3498733464171843, and quantile values: 0.25 -0.430606\n0.50 0.349873\n0.75 0.888954\nName: 8712, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05997423688599518, std values: 0.9254462477607386, min values: -2.92272757463548, max values: 6.0, median values: 0.1214710393146549, and quantile values: 0.25 -0.541573\n0.50 0.121471\n0.75 0.629169\nName: 8713, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2967786521078441, std values: 0.8395272921278139, min values: -2.2915911556076085, max values: 3.098911021393695, median values: -0.4381421593837301, and quantile values: 0.25 -0.894629\n0.50 -0.438142\n0.75 0.220681\nName: 8714, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18820179064453849, std values: 0.9370171823766069, min values: -2.5695487141177, max values: 4.0, median values: 0.3138874569661794, and quantile values: 0.25 -0.328288\n0.50 0.313887\n0.75 0.780136\nName: 8715, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06551629374714502, std values: 0.9280088519534931, min values: -2.6466193392086392, max values: 4.0, median values: -0.0801120420591287, and quantile values: 0.25 -0.688127\n0.50 -0.080112\n0.75 0.569594\nName: 8716, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36804640185126125, std values: 0.9491190953840257, min values: -2.023268385245388, max values: 6.0, median values: -0.521180171662055, and quantile values: 0.25 -1.142089\n0.50 -0.521180\n0.75 0.241484\nName: 8717, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2936050249865587, std values: 0.8971631783995767, min values: -2.657870006553045, max values: 3.0838352979250487, median values: -0.3972691652566721, and quantile values: 0.25 -0.901314\n0.50 -0.397269\n0.75 0.292740\nName: 8718, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23309556516764365, std values: 1.157130804164228, min values: -2.769191083399913, max values: 3.041094191308108, median values: 0.3132419953980754, and quantile values: 0.25 -0.351131\n0.50 0.313242\n0.75 1.085976\nName: 8719, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13818141449461122, std values: 1.1133963902399162, min values: -2.140943184359666, max values: 3.110498035652072, median values: -0.2748204501345631, and quantile values: 0.25 -1.086146\n0.50 -0.274820\n0.75 0.705118\nName: 8720, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27147405125437746, std values: 0.9709895037851106, min values: -2.6800544037614658, max values: 4.0, median values: -0.1826319746767859, and quantile values: 0.25 -0.826049\n0.50 -0.182632\n0.75 0.324599\nName: 8721, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2908078450837854, std values: 0.8752971253470941, min values: -2.788272971802125, max values: 6.0, median values: -0.2989833394734004, and quantile values: 0.25 -0.898356\n0.50 -0.298983\n0.75 0.256233\nName: 8722, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40227091643221197, std values: 1.0782257668457271, min values: -3.045947208515832, max values: 6.0, median values: -0.4891526397882719, and quantile values: 0.25 -1.125257\n0.50 -0.489153\n0.75 0.261439\nName: 8723, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.52030374278165, std values: 0.9065731987492205, min values: -2.572123985342288, max values: 4.0, median values: 0.6104024376301093, and quantile values: 0.25 -0.140220\n0.50 0.610402\n0.75 1.231829\nName: 8724, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36194542454730205, std values: 0.8674539845403084, min values: -2.7314147016889114, max values: 3.667275230673496, median values: -0.4852139860432537, and quantile values: 0.25 -1.027445\n0.50 -0.485214\n0.75 0.179782\nName: 8725, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14204838624644087, std values: 0.88198486254148, min values: -2.623568901859613, max values: 4.0, median values: 0.1860791929694207, and quantile values: 0.25 -0.369643\n0.50 0.186079\n0.75 0.694972\nName: 8726, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1951813873553243, std values: 1.1688705962327426, min values: -2.7510671817729784, max values: 6.0, median values: -0.3146290929788369, and quantile values: 0.25 -1.174295\n0.50 -0.314629\n0.75 0.645879\nName: 8727, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11941781097193792, std values: 0.9371966335419751, min values: -2.57895707818966, max values: 6.0, median values: -0.1174492414207516, and quantile values: 0.25 -0.832716\n0.50 -0.117449\n0.75 0.524086\nName: 8728, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4489906382539369, std values: 0.8762773093136798, min values: -2.916688926075616, max values: 6.0, median values: -0.5754415062885947, and quantile values: 0.25 -1.021812\n0.50 -0.575442\n0.75 0.029382\nName: 8729, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.016681241930563504, std values: 0.9904336554659005, min values: -3.074005993202373, max values: 3.867701659180865, median values: 0.1396360485736483, and quantile values: 0.25 -0.522839\n0.50 0.139636\n0.75 0.609175\nName: 8730, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1738978983596317, std values: 0.8475067590350561, min values: -2.087919489660226, max values: 6.0, median values: 0.0778219610985922, and quantile values: 0.25 -0.356997\n0.50 0.077822\n0.75 0.680689\nName: 8731, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5991283227350623, std values: 1.0977587296539832, min values: -2.769191083399913, max values: 3.4217036547572275, median values: -0.7036336050369071, and quantile values: 0.25 -1.301623\n0.50 -0.703634\n0.75 0.081413\nName: 8732, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3741435911062625, std values: 0.945640642589595, min values: -2.748993280390358, max values: 4.026668017837955, median values: 0.4638742258668199, and quantile values: 0.25 -0.295641\n0.50 0.463874\n0.75 1.100168\nName: 8733, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3363712258469164, std values: 0.888973072029733, min values: -2.275531026921315, max values: 6.0, median values: -0.4529986700036433, and quantile values: 0.25 -1.003812\n0.50 -0.452999\n0.75 0.207671\nName: 8734, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30446611484520314, std values: 0.9489242027458238, min values: -2.879968592907284, max values: 4.0, median values: 0.3888822990622839, and quantile values: 0.25 -0.209216\n0.50 0.388882\n0.75 0.915201\nName: 8735, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2578065716832072, std values: 0.9793139456259369, min values: -2.684072796644972, max values: 6.0, median values: 0.2268724027084837, and quantile values: 0.25 -0.348029\n0.50 0.226872\n0.75 0.967396\nName: 8736, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01231405764828867, std values: 0.7947535714250746, min values: -2.226424194672579, max values: 4.0, median values: -0.0759437446885802, and quantile values: 0.25 -0.564709\n0.50 -0.075944\n0.75 0.493025\nName: 8737, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0067130139107645, std values: 1.3227743937061827, min values: -2.727901130262228, max values: 4.0, median values: -1.580574448404212, and quantile values: 0.25 -2.140406\n0.50 -1.580574\n0.75 0.150072\nName: 8738, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1326249547635898, std values: 1.0201012218187364, min values: -2.386908851828305, max values: 3.306454397423372, median values: -0.1710940620558122, and quantile values: 0.25 -0.980766\n0.50 -0.171094\n0.75 0.639312\nName: 8739, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32795518370158905, std values: 0.8393342497530376, min values: -2.5879430435308, max values: 3.721862465295849, median values: -0.4863841483504358, and quantile values: 0.25 -0.911686\n0.50 -0.486384\n0.75 0.140615\nName: 8740, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14507264235557712, std values: 1.1563100802537936, min values: -3.0484008792629496, max values: 5.0, median values: -0.0248705633812019, and quantile values: 0.25 -0.916144\n0.50 -0.024871\n0.75 0.754115\nName: 8741, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2220863830737803, std values: 0.8206024376530348, min values: -2.419133598913117, max values: 3.141939528112806, median values: -0.3102150283593521, and quantile values: 0.25 -0.787756\n0.50 -0.310215\n0.75 0.284156\nName: 8742, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27504565773112555, std values: 0.8450141922910639, min values: -2.102076355619645, max values: 4.0, median values: 0.2882661748512464, and quantile values: 0.25 -0.267506\n0.50 0.288266\n0.75 0.805629\nName: 8743, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4510515335609777, std values: 0.9346191870561699, min values: -2.226424194672579, max values: 4.0, median values: 0.5232185246479956, and quantile values: 0.25 -0.255818\n0.50 0.523219\n0.75 1.160775\nName: 8744, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1915861932326759, std values: 0.8105004418790186, min values: -2.5689076212724418, max values: 5.0, median values: 0.2187135223648768, and quantile values: 0.25 -0.395198\n0.50 0.218714\n0.75 0.794856\nName: 8745, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3592521626936733, std values: 1.1471289886428704, min values: -2.1238235090034925, max values: 5.0, median values: 0.2545985496127408, and quantile values: 0.25 -0.474871\n0.50 0.254599\n0.75 1.099891\nName: 8746, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 1.0325057884617765, std values: 1.176758740297122, min values: -2.010220823219501, max values: 3.784832159836258, median values: 1.109649535102504, and quantile values: 0.25 0.117283\n0.50 1.109650\n0.75 2.023206\nName: 8747, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3285802716480381, std values: 0.7713325641916597, min values: -2.134449825097116, max values: 3.047545592545638, median values: -0.3648646662324549, and quantile values: 0.25 -0.880750\n0.50 -0.364865\n0.75 0.120591\nName: 8748, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16104655925955488, std values: 0.7798064578046582, min values: -2.732564679617164, max values: 3.147276669305989, median values: 0.127712673652719, and quantile values: 0.25 -0.346133\n0.50 0.127713\n0.75 0.666426\nName: 8749, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08400737472469905, std values: 0.7840195518470706, min values: -2.7648443048846945, max values: 3.306454397423372, median values: -0.1457846316030999, and quantile values: 0.25 -0.629157\n0.50 -0.145785\n0.75 0.370708\nName: 8750, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3992077656802511, std values: 0.9365778517102289, min values: -2.6603025395856053, max values: 5.0, median values: -0.3950976547625137, and quantile values: 0.25 -1.021146\n0.50 -0.395098\n0.75 0.165964\nName: 8751, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32399057171101964, std values: 0.7895929485628079, min values: -2.58513369695146, max values: 3.082096909284949, median values: 0.3975105734905982, and quantile values: 0.25 -0.183074\n0.50 0.397511\n0.75 0.828545\nName: 8752, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3450673885595853, std values: 0.8178251154892543, min values: -2.394318853657038, max values: 3.709787027503053, median values: 0.2938036676709878, and quantile values: 0.25 -0.186077\n0.50 0.293804\n0.75 0.901633\nName: 8753, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14906354416021336, std values: 0.7889800088339093, min values: -2.572123985342288, max values: 4.0, median values: 0.1352221760787831, and quantile values: 0.25 -0.375314\n0.50 0.135222\n0.75 0.636618\nName: 8754, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14630067105276126, std values: 0.864210967545716, min values: -2.8531572940820533, max values: 3.9905524164385566, median values: -0.1667307754623387, and quantile values: 0.25 -0.714208\n0.50 -0.166731\n0.75 0.345431\nName: 8755, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.586650805208297, std values: 0.9253555336351033, min values: -2.09185204719853, max values: 5.0, median values: 0.5071063745301512, and quantile values: 0.25 -0.040935\n0.50 0.507106\n0.75 1.222518\nName: 8756, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35508003363254836, std values: 0.7085181727067227, min values: -2.2423374092797945, max values: 3.0, median values: 0.3604727189263673, and quantile values: 0.25 -0.082981\n0.50 0.360473\n0.75 0.803486\nName: 8757, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9386521636960349, std values: 1.3973290720236289, min values: -2.727901130262228, max values: 4.0, median values: -1.6529432372278574, and quantile values: 0.25 -2.140874\n0.50 -1.652943\n0.75 0.347386\nName: 8758, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03227689247524451, std values: 0.7375223188725643, min values: -2.060926614662576, max values: 6.0, median values: -0.0277356438544885, and quantile values: 0.25 -0.463138\n0.50 -0.027736\n0.75 0.491532\nName: 8759, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18251780046793356, std values: 0.9038369842440032, min values: -2.172504607314173, max values: 4.0, median values: 0.2020951358882537, and quantile values: 0.25 -0.490414\n0.50 0.202095\n0.75 0.879712\nName: 8760, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1136686126348044, std values: 0.8386004096166714, min values: -2.5774281843044924, max values: 6.0, median values: -0.2146818410488149, and quantile values: 0.25 -0.694189\n0.50 -0.214682\n0.75 0.420988\nName: 8761, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15234403685548942, std values: 1.0864637736518659, min values: -2.638186942019407, max values: 4.0, median values: 0.1868006588037926, and quantile values: 0.25 -0.598720\n0.50 0.186801\n0.75 1.001627\nName: 8762, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03497575744722968, std values: 0.8958082802949724, min values: -2.981718296512785, max values: 5.0, median values: 0.0608443236660204, and quantile values: 0.25 -0.624866\n0.50 0.060844\n0.75 0.602096\nName: 8763, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2741739933130115, std values: 1.025250802053192, min values: -2.240740315114864, max values: 4.0, median values: 0.2816696404560333, and quantile values: 0.25 -0.491338\n0.50 0.281670\n0.75 1.077237\nName: 8764, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3440515874229086, std values: 1.10582478810093, min values: -2.687115288423959, max values: 5.0, median values: 0.4510318405341507, and quantile values: 0.25 -0.414557\n0.50 0.451032\n0.75 1.179966\nName: 8765, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11756921020820699, std values: 0.8860510187680991, min values: -2.679056533720636, max values: 5.0, median values: -0.2167836866379854, and quantile values: 0.25 -0.676167\n0.50 -0.216784\n0.75 0.444152\nName: 8766, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2327485285007577, std values: 0.7975799544551473, min values: -2.1002547423964093, max values: 4.026668017837955, median values: -0.1836750040277403, and quantile values: 0.25 -0.820885\n0.50 -0.183675\n0.75 0.294609\nName: 8767, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35014675638835474, std values: 0.8758280880120292, min values: -3.101800431129944, max values: 6.0, median values: -0.4217702741307218, and quantile values: 0.25 -0.916396\n0.50 -0.421770\n0.75 0.168397\nName: 8768, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19663459953922163, std values: 0.8451132319544072, min values: -2.097362986026047, max values: 6.0, median values: -0.2485156759859974, and quantile values: 0.25 -0.808604\n0.50 -0.248516\n0.75 0.329593\nName: 8769, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4083314443943272, std values: 0.8914616365033105, min values: -2.1263725557928383, max values: 3.147276669305989, median values: -0.5704381276940069, and quantile values: 0.25 -1.093734\n0.50 -0.570438\n0.75 0.160934\nName: 8770, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09793595001437869, std values: 0.8214629693481781, min values: -2.169311742921253, max values: 6.0, median values: 0.0981459955563709, and quantile values: 0.25 -0.447532\n0.50 0.098146\n0.75 0.591159\nName: 8771, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.021571670914631306, std values: 1.0395977702941654, min values: -2.724017888297919, max values: 3.438667023696733, median values: -0.0557353699358756, and quantile values: 0.25 -0.750897\n0.50 -0.055735\n0.75 0.641314\nName: 8772, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4797111035701567, std values: 1.0072106126416942, min values: -2.9797100147087465, max values: 5.0, median values: -0.6095272196546662, and quantile values: 0.25 -1.183842\n0.50 -0.609527\n0.75 0.162645\nName: 8773, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6931111752020596, std values: 1.2168275519578502, min values: -2.63315074164461, max values: 6.0, median values: 0.8218011071406081, and quantile values: 0.25 -0.105772\n0.50 0.821801\n0.75 1.701327\nName: 8774, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01776946075278625, std values: 0.8229657847148174, min values: -2.212004168819108, max values: 3.098911021393695, median values: -0.1164498773318696, and quantile values: 0.25 -0.582652\n0.50 -0.116450\n0.75 0.504635\nName: 8775, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10265854828271047, std values: 0.8981016393807469, min values: -2.209826040384377, max values: 3.124705982383484, median values: 0.1346044387332978, and quantile values: 0.25 -0.555337\n0.50 0.134604\n0.75 0.808146\nName: 8776, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6248483417818002, std values: 0.8860057689100591, min values: -2.687115288423959, max values: 5.0, median values: 0.6560445929601438, and quantile values: 0.25 0.087085\n0.50 0.656045\n0.75 1.220104\nName: 8777, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4675197658682443, std values: 0.917797743619334, min values: -2.486556664247513, max values: 3.784832159836258, median values: -0.5457383463495026, and quantile values: 0.25 -1.200586\n0.50 -0.545738\n0.75 0.122914\nName: 8778, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.501645930171586, std values: 1.1349680117607894, min values: -2.27710446206836, max values: 4.278004674434932, median values: 0.5372096154102275, and quantile values: 0.25 -0.361109\n0.50 0.537210\n0.75 1.481366\nName: 8779, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42802165490752153, std values: 0.8222569459110122, min values: -1.988675962110902, max values: 5.0, median values: 0.4360211865681183, and quantile values: 0.25 -0.079231\n0.50 0.436021\n0.75 0.930360\nName: 8780, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0485290161439187, std values: 0.7849326210497513, min values: -2.2546295098944493, max values: 4.243835016543704, median values: -0.113623363831222, and quantile values: 0.25 -0.587306\n0.50 -0.113623\n0.75 0.459065\nName: 8781, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15904088872737562, std values: 1.320199690683773, min values: -3.0960472541202715, max values: 6.0, median values: 0.1317148440146149, and quantile values: 0.25 -1.124295\n0.50 0.131715\n0.75 0.863925\nName: 8782, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29193761516033223, std values: 0.9063412829487099, min values: -2.213992886306253, max values: 5.0, median values: 0.3266750042915986, and quantile values: 0.25 -0.361204\n0.50 0.326675\n0.75 0.969226\nName: 8783, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2082167916681414, std values: 1.0011549447934354, min values: -2.919359491767569, max values: 6.0, median values: 0.2530835347577334, and quantile values: 0.25 -0.502251\n0.50 0.253084\n0.75 0.986902\nName: 8784, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0265013879082421, std values: 0.8650130889501257, min values: -2.101255482180127, max values: 4.0, median values: -0.0121175942894627, and quantile values: 0.25 -0.581491\n0.50 -0.012118\n0.75 0.565778\nName: 8785, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.013861971901869687, std values: 0.7729250082128131, min values: -1.9714657939353928, max values: 4.0, median values: 0.0335216209704941, and quantile values: 0.25 -0.537064\n0.50 0.033522\n0.75 0.478366\nName: 8786, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4288013076544332, std values: 0.8719709974866686, min values: -2.8531572940820533, max values: 3.784832159836258, median values: 0.5477143441778358, and quantile values: 0.25 -0.153038\n0.50 0.547714\n0.75 1.043646\nName: 8787, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16638411504301565, std values: 0.7552217349211493, min values: -2.5631847770497496, max values: 4.0, median values: 0.227078832705584, and quantile values: 0.25 -0.353623\n0.50 0.227079\n0.75 0.698893\nName: 8788, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3678804831630025, std values: 0.9131831135696037, min values: -2.525362520654854, max values: 5.0, median values: -0.5098256867957988, and quantile values: 0.25 -1.076910\n0.50 -0.509826\n0.75 0.218575\nName: 8789, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7177775635960352, std values: 0.9579751037838862, min values: -2.5609956423017834, max values: 3.060952636712705, median values: -0.8956869935237576, and quantile values: 0.25 -1.518911\n0.50 -0.895687\n0.75 -0.108359\nName: 8790, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19407319797959852, std values: 0.8024500027230003, min values: -2.419133598913117, max values: 3.0, median values: 0.2392460681197061, and quantile values: 0.25 -0.371390\n0.50 0.239246\n0.75 0.771804\nName: 8791, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3306288390308249, std values: 0.8713539815281838, min values: -2.482931728382393, max values: 4.026668017837955, median values: -0.4553044435786069, and quantile values: 0.25 -0.955747\n0.50 -0.455304\n0.75 0.188340\nName: 8792, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13100758611202223, std values: 0.7859379826441906, min values: -2.4564928597243227, max values: 4.0, median values: 0.1401611208747697, and quantile values: 0.25 -0.397153\n0.50 0.140161\n0.75 0.642539\nName: 8793, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1501612070502355, std values: 0.8729104297658105, min values: -2.072108449798908, max values: 3.060952636712705, median values: -0.2338009271333733, and quantile values: 0.25 -0.810130\n0.50 -0.233801\n0.75 0.431549\nName: 8794, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1946322965489819, std values: 0.8201355363419983, min values: -2.90140378513671, max values: 3.135426854633533, median values: -0.2528639078728039, and quantile values: 0.25 -0.841425\n0.50 -0.252864\n0.75 0.409241\nName: 8795, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13585471090011292, std values: 0.8831609797441069, min values: -2.510124273981921, max values: 3.2701555622463814, median values: 0.1562668780295394, and quantile values: 0.25 -0.345777\n0.50 0.156267\n0.75 0.645555\nName: 8796, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0038906333178273067, std values: 0.8898561398295518, min values: -2.590643619371846, max values: 4.0, median values: -0.0378242242194406, and quantile values: 0.25 -0.579861\n0.50 -0.037824\n0.75 0.574786\nName: 8797, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.629836591183374, std values: 0.8674299563243114, min values: -2.1323052317104474, max values: 3.103622965243153, median values: 0.7235770699294161, and quantile values: 0.25 0.050150\n0.50 0.723577\n0.75 1.250195\nName: 8798, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07993363349323225, std values: 0.8700530061213476, min values: -2.838932175687192, max values: 4.0, median values: -0.1604551080175782, and quantile values: 0.25 -0.664291\n0.50 -0.160455\n0.75 0.466000\nName: 8799, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.008511498310189056, std values: 0.8860156961367608, min values: -2.126457643282694, max values: 3.306454397423372, median values: 0.0022689143754307, and quantile values: 0.25 -0.629056\n0.50 0.002269\n0.75 0.551783\nName: 8800, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2936867064112439, std values: 0.9270721666782443, min values: -2.580492024304656, max values: 3.0148736195915853, median values: 0.3371364211209274, and quantile values: 0.25 -0.306819\n0.50 0.337136\n0.75 0.988659\nName: 8801, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.007431722013373686, std values: 0.9761357772350133, min values: -2.688157591415518, max values: 3.721862465295849, median values: -0.0274876955359035, and quantile values: 0.25 -0.589794\n0.50 -0.027488\n0.75 0.636964\nName: 8802, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09644810006674577, std values: 0.8128843142671681, min values: -2.2477784840641744, max values: 4.0, median values: 0.0503907210259534, and quantile values: 0.25 -0.447924\n0.50 0.050391\n0.75 0.586999\nName: 8803, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15221511795127873, std values: 0.9563561286492027, min values: -2.19583558726078, max values: 5.0, median values: -0.3051846311697598, and quantile values: 0.25 -0.919593\n0.50 -0.305185\n0.75 0.496573\nName: 8804, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.429811708799931, std values: 0.8180675226324046, min values: -2.118599024240829, max values: 3.397048482165858, median values: -0.506034622556619, and quantile values: 0.25 -1.043575\n0.50 -0.506035\n0.75 0.071200\nName: 8805, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04661926341603196, std values: 0.8881888465499872, min values: -2.8164291268114208, max values: 3.9905524164385566, median values: 0.1435750395431538, and quantile values: 0.25 -0.469929\n0.50 0.143575\n0.75 0.631129\nName: 8806, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09446130094349832, std values: 0.9741496047267475, min values: -3.062179113294277, max values: 3.2266531185902125, median values: 0.0687095321409377, and quantile values: 0.25 -0.646947\n0.50 0.068710\n0.75 0.821657\nName: 8807, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3185813638638256, std values: 1.0385534970227912, min values: -3.598076523509849, max values: 3.721862465295849, median values: 0.3967832852968517, and quantile values: 0.25 -0.346133\n0.50 0.396783\n0.75 1.010397\nName: 8808, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2047323439003737, std values: 0.8491422502891046, min values: -2.3112545790704506, max values: 4.0, median values: -0.3163947222133707, and quantile values: 0.25 -0.843259\n0.50 -0.316395\n0.75 0.351156\nName: 8809, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29033571845549, std values: 0.7976444410225327, min values: -2.601639132009086, max values: 6.0, median values: -0.4134768144428864, and quantile values: 0.25 -0.863808\n0.50 -0.413477\n0.75 0.166358\nName: 8810, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0016394613692416477, std values: 0.8616059933327561, min values: -2.5774281843044924, max values: 4.0, median values: -0.0515460368919788, and quantile values: 0.25 -0.586063\n0.50 -0.051546\n0.75 0.582111\nName: 8811, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6549870221834568, std values: 1.0477095719518306, min values: -2.673549169958716, max values: 6.0, median values: 0.8235881907984839, and quantile values: 0.25 0.084536\n0.50 0.823588\n0.75 1.388894\nName: 8812, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6657945778362083, std values: 1.1183419250345086, min values: -2.6660404517971856, max values: 4.0, median values: -0.8249032876807776, and quantile values: 0.25 -1.568213\n0.50 -0.824903\n0.75 0.123080\nName: 8813, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.024940287649531726, std values: 0.8548960760123495, min values: -2.482931728382393, max values: 3.784832159836258, median values: 0.0541136092425591, and quantile values: 0.25 -0.622614\n0.50 0.054114\n0.75 0.655283\nName: 8814, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26316220242132865, std values: 0.8339661481986468, min values: -2.841647375415054, max values: 3.8226908388056136, median values: -0.2901884079832159, and quantile values: 0.25 -0.783164\n0.50 -0.290188\n0.75 0.234263\nName: 8815, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.020191286500281683, std values: 0.8619785600237958, min values: -2.572123985342288, max values: 4.243835016543704, median values: -0.0687095321409377, and quantile values: 0.25 -0.569434\n0.50 -0.068710\n0.75 0.512840\nName: 8816, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33265867403361593, std values: 0.7953920592766414, min values: -2.1222500742240245, max values: 5.0, median values: -0.3631979311796945, and quantile values: 0.25 -0.877807\n0.50 -0.363198\n0.75 0.159162\nName: 8817, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0416116598904837, std values: 1.3260500342545924, min values: -2.727901130262228, max values: 4.0, median values: -1.6877491624678858, and quantile values: 0.25 -2.140874\n0.50 -1.687749\n0.75 0.027047\nName: 8818, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.9143646157641944, std values: 1.2100792795592055, min values: -2.673124659932621, max values: 6.0, median values: 1.0899911092402668, and quantile values: 0.25 0.150017\n0.50 1.089991\n0.75 1.863572\nName: 8819, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32534957778351903, std values: 1.1019078399001465, min values: -2.92272757463548, max values: 6.0, median values: -0.2821492786997456, and quantile values: 0.25 -0.999446\n0.50 -0.282149\n0.75 0.428764\nName: 8820, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09499759653333043, std values: 0.7833390181380648, min values: -2.213992886306253, max values: 4.0, median values: -0.115258858336721, and quantile values: 0.25 -0.588488\n0.50 -0.115259\n0.75 0.352162\nName: 8821, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12912411780989433, std values: 0.7805163026484636, min values: -1.938699794073121, max values: 4.243835016543704, median values: 0.1887009850921189, and quantile values: 0.25 -0.407515\n0.50 0.188701\n0.75 0.647481\nName: 8822, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2602612842778369, std values: 1.049447531793693, min values: -3.071284484560209, max values: 2.819577644078508, median values: -0.2915615969890289, and quantile values: 0.25 -1.091534\n0.50 -0.291562\n0.75 0.443058\nName: 8823, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37571065651878266, std values: 1.0125039285255655, min values: -2.6850842010492566, max values: 6.0, median values: -0.4514017626010814, and quantile values: 0.25 -1.161331\n0.50 -0.451402\n0.75 0.324425\nName: 8824, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33413752220817305, std values: 0.8866262405123914, min values: -2.1475280888671984, max values: 3.9905524164385566, median values: -0.4492033205970205, and quantile values: 0.25 -0.965737\n0.50 -0.449203\n0.75 0.135556\nName: 8825, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33460133661121044, std values: 1.2863655358923092, min values: -2.960014365184806, max values: 6.0, median values: -0.2062912760829024, and quantile values: 0.25 -1.103756\n0.50 -0.206291\n0.75 0.597957\nName: 8826, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06039144740044696, std values: 1.2733658943518962, min values: -2.842043939794492, max values: 3.9048392686725855, median values: 0.2203177268126444, and quantile values: 0.25 -0.700670\n0.50 0.220318\n0.75 1.053645\nName: 8827, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0447292582908686, std values: 1.1020006887817106, min values: -2.93129584560762, max values: 6.0, median values: 0.299469757270851, and quantile values: 0.25 -0.480566\n0.50 0.299470\n0.75 0.762412\nName: 8828, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21316465377874075, std values: 1.0076491510359398, min values: -3.228456465836797, max values: 3.518664430018096, median values: 0.2456229916011413, and quantile values: 0.25 -0.556136\n0.50 0.245623\n0.75 0.997651\nName: 8829, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14758922737095403, std values: 0.7465215360928126, min values: -2.0801885729223746, max values: 3.047545592545638, median values: -0.1552860344901706, and quantile values: 0.25 -0.651435\n0.50 -0.155286\n0.75 0.308851\nName: 8830, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38495520404552924, std values: 0.9219594237990825, min values: -2.6270253558526173, max values: 4.0, median values: -0.3150921137335419, and quantile values: 0.25 -0.972731\n0.50 -0.315092\n0.75 0.180695\nName: 8831, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05995906795444027, std values: 1.0283802540938718, min values: -2.697026421440041, max values: 4.0, median values: -0.060707040088199, and quantile values: 0.25 -0.769259\n0.50 -0.060707\n0.75 0.652218\nName: 8832, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40551960962414973, std values: 0.8762763297363205, min values: -2.3360195637517567, max values: 3.247416277295021, median values: -0.4436690645436493, and quantile values: 0.25 -1.093834\n0.50 -0.443669\n0.75 0.198786\nName: 8833, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03690164493062443, std values: 0.888109226505661, min values: -2.789830374413015, max values: 3.216771431244405, median values: -0.0538102354236853, and quantile values: 0.25 -0.633493\n0.50 -0.053810\n0.75 0.608777\nName: 8834, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2796005882120554, std values: 0.8406110288615151, min values: -2.4176069991382847, max values: 6.0, median values: -0.3756095267836742, and quantile values: 0.25 -0.87821\n0.50 -0.37561\n0.75 0.24784\nName: 8835, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12833363307567883, std values: 1.3251464800064587, min values: -2.778044916685896, max values: 3.2071942083719924, median values: 0.3599333910775842, and quantile values: 0.25 -0.657364\n0.50 0.359933\n0.75 1.174184\nName: 8836, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4402910967950991, std values: 0.7245123089215186, min values: -2.6635706018350787, max values: 3.3636961113187773, median values: 0.4817979839947181, and quantile values: 0.25 0.032502\n0.50 0.481798\n0.75 0.878860\nName: 8837, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10092648785601914, std values: 0.9032524156729762, min values: -2.2915911556076085, max values: 3.5021977227593246, median values: -0.1818965882364152, and quantile values: 0.25 -0.839622\n0.50 -0.181897\n0.75 0.569013\nName: 8838, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.022733376666026456, std values: 0.9105380490515639, min values: -2.0952823332519324, max values: 4.0, median values: -0.0545273088456053, and quantile values: 0.25 -0.705906\n0.50 -0.054527\n0.75 0.544970\nName: 8839, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.061788299750113344, std values: 0.7869102104021761, min values: -2.047302085077502, max values: 5.0, median values: 0.0723261652750515, and quantile values: 0.25 -0.483469\n0.50 0.072326\n0.75 0.595359\nName: 8840, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36169563592596726, std values: 1.0137980785754819, min values: -1.8457622217398453, max values: 6.0, median values: 0.332155983388514, and quantile values: 0.25 -0.471493\n0.50 0.332156\n0.75 1.136817\nName: 8841, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.00015565668931417773, std values: 0.9742752911609378, min values: -2.73836943861057, max values: 3.867701659180865, median values: 0.0347065007639424, and quantile values: 0.25 -0.695522\n0.50 0.034707\n0.75 0.708241\nName: 8842, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10873587315859812, std values: 0.7904574658986773, min values: -1.9570585542689607, max values: 5.0, median values: 0.0330256388468889, and quantile values: 0.25 -0.449518\n0.50 0.033026\n0.75 0.638733\nName: 8843, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03328357658748696, std values: 1.130553485879426, min values: -2.9029979285382743, max values: 3.397048482165858, median values: 0.1450331675964706, and quantile values: 0.25 -0.587666\n0.50 0.145033\n0.75 0.706361\nName: 8844, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04462158884811354, std values: 0.8934356791126301, min values: -2.264034258932616, max values: 3.598076523509904, median values: 0.0785472485712697, and quantile values: 0.25 -0.620053\n0.50 0.078547\n0.75 0.723577\nName: 8845, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34644193762004527, std values: 0.7295760036632789, min values: -2.4662681870657748, max values: 5.0, median values: 0.3222486416059391, and quantile values: 0.25 -0.110265\n0.50 0.322249\n0.75 0.801562\nName: 8846, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4919557534603576, std values: 0.8367831445737275, min values: -2.620939317041317, max values: 4.0, median values: 0.5577923642965839, and quantile values: 0.25 -0.065287\n0.50 0.557792\n0.75 1.082063\nName: 8847, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02892299785762529, std values: 0.8015385774721244, min values: -1.9958895544113944, max values: 5.0, median values: -0.0326398805959094, and quantile values: 0.25 -0.535524\n0.50 -0.032640\n0.75 0.504032\nName: 8848, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0060286334281175035, std values: 1.312902576085639, min values: -3.424801219647557, max values: 3.071284484560209, median values: 0.1603296522463677, and quantile values: 0.25 -1.140070\n0.50 0.160330\n0.75 1.131377\nName: 8849, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.015835104843820405, std values: 0.9544377882286572, min values: -2.9265160609644223, max values: 6.0, median values: 0.0727127308126687, and quantile values: 0.25 -0.489019\n0.50 0.072713\n0.75 0.573574\nName: 8850, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4132351559543907, std values: 0.9071796590228884, min values: -2.7257183488872623, max values: 5.0, median values: 0.4936594594437378, and quantile values: 0.25 -0.201154\n0.50 0.493659\n0.75 1.090784\nName: 8851, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09419523145908303, std values: 1.0788376647892406, min values: -2.8843374390620142, max values: 6.0, median values: 0.0729612429639415, and quantile values: 0.25 -0.811548\n0.50 0.072961\n0.75 0.648883\nName: 8852, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9145981416205036, std values: 1.5579935684935349, min values: -2.727901130262228, max values: 4.0, median values: -1.8659988638767573, and quantile values: 0.25 -2.176900\n0.50 -1.865999\n0.75 0.693489\nName: 8853, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5105792641878035, std values: 1.0036591449413232, min values: -2.928515832252388, max values: 3.000356517591168, median values: -0.6340989313278451, and quantile values: 0.25 -1.278592\n0.50 -0.634099\n0.75 0.115619\nName: 8854, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0851799977570236, std values: 0.8031399520935844, min values: -2.0681185926384043, max values: 3.247416277295021, median values: -0.0101621814240278, and quantile values: 0.25 -0.470170\n0.50 -0.010162\n0.75 0.589893\nName: 8855, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21462027993675284, std values: 0.758566724666709, min values: -2.7648443048846945, max values: 2.928515832252385, median values: 0.180168311507301, and quantile values: 0.25 -0.257843\n0.50 0.180168\n0.75 0.697049\nName: 8856, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.028912873462863333, std values: 0.799187792997065, min values: -2.8843374390620142, max values: 6.0, median values: -0.0412931622768972, and quantile values: 0.25 -0.508822\n0.50 -0.041293\n0.75 0.507617\nName: 8857, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7214830037021587, std values: 0.9786951263180458, min values: -3.0687217584296813, max values: 2.3748395305908376, median values: -0.6984964598965488, and quantile values: 0.25 -1.599884\n0.50 -0.698496\n0.75 0.013283\nName: 8858, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0404838503796308, std values: 1.2867603081662726, min values: -2.727901130262228, max values: 4.0, median values: -1.6842246352128796, and quantile values: 0.25 -2.140406\n0.50 -1.684225\n0.75 0.172029\nName: 8859, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10094076570426515, std values: 0.8065844184208575, min values: -2.1467551242257885, max values: 3.721862465295849, median values: -0.1256875509295044, and quantile values: 0.25 -0.665047\n0.50 -0.125688\n0.75 0.382534\nName: 8860, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19298773691308793, std values: 1.0528535902190406, min values: -3.002493140275396, max values: 5.0, median values: 0.3600187775953557, and quantile values: 0.25 -0.280391\n0.50 0.360019\n0.75 0.865526\nName: 8861, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8812605564785467, std values: 1.2094516220710216, min values: -2.5953860446419177, max values: 3.379902545505621, median values: 1.1908758821889165, and quantile values: 0.25 0.284671\n0.50 1.190876\n0.75 1.757435\nName: 8862, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.647156312372539, std values: 0.9451309686142926, min values: -2.144224014725033, max values: 3.721862465295849, median values: 0.7770988465247162, and quantile values: 0.25 0.041845\n0.50 0.777099\n0.75 1.311836\nName: 8863, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43024151503961217, std values: 0.9852523066442226, min values: -2.879968592907284, max values: 4.0, median values: -0.4216084603945163, and quantile values: 0.25 -1.138396\n0.50 -0.421608\n0.75 0.176251\nName: 8864, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.390009790837734, std values: 0.7910713147839117, min values: -2.3333312203517527, max values: 3.147276669305989, median values: -0.4118126887565435, and quantile values: 0.25 -0.968907\n0.50 -0.411813\n0.75 0.098945\nName: 8865, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04619311868763091, std values: 0.9473112647723825, min values: -2.605098146828148, max values: 6.0, median values: -0.0362632761366336, and quantile values: 0.25 -0.554041\n0.50 -0.036263\n0.75 0.646257\nName: 8866, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06493389966943705, std values: 0.9576931958975593, min values: -2.944950884974346, max values: 3.306454397423372, median values: 0.0481384365709309, and quantile values: 0.25 -0.561884\n0.50 0.048138\n0.75 0.547802\nName: 8867, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4233519652981368, std values: 0.8530247230364778, min values: -1.954579925189876, max values: 3.197902420311553, median values: 0.4167787391662045, and quantile values: 0.25 -0.125523\n0.50 0.416779\n0.75 0.963340\nName: 8868, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09662822602533803, std values: 1.1142993244881298, min values: -2.129106615513547, max values: 3.9905524164385566, median values: -0.2745453710206623, and quantile values: 0.25 -0.954878\n0.50 -0.274545\n0.75 0.598098\nName: 8869, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2870754252764539, std values: 1.0331871333090235, min values: -2.6270253558526173, max values: 4.0, median values: -0.2662792265987158, and quantile values: 0.25 -0.932439\n0.50 -0.266279\n0.75 0.358909\nName: 8870, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03764412655075122, std values: 0.844753092068242, min values: -2.687115288423959, max values: 5.0, median values: -0.0001652358791059, and quantile values: 0.25 -0.467158\n0.50 -0.000165\n0.75 0.530667\nName: 8871, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10788955008643247, std values: 0.9295461513800966, min values: -2.240740315114864, max values: 4.0, median values: 0.1541120035796483, and quantile values: 0.25 -0.557489\n0.50 0.154112\n0.75 0.742776\nName: 8872, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49523496522193333, std values: 1.1312991484691908, min values: -2.9622221028070275, max values: 4.0, median values: -0.4412710741040214, and quantile values: 0.25 -1.335560\n0.50 -0.441271\n0.75 0.326476\nName: 8873, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.017941331753549103, std values: 0.7693576661909467, min values: -2.8451834694312192, max values: 3.760287110694155, median values: 0.0459241723370481, and quantile values: 0.25 -0.467773\n0.50 0.045924\n0.75 0.478430\nName: 8874, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40913034309664964, std values: 0.802204851027192, min values: -2.595415585454491, max values: 3.0, median values: -0.5393036563294786, and quantile values: 0.25 -0.984213\n0.50 -0.539304\n0.75 0.084381\nName: 8875, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17385129556362297, std values: 0.9584694685378827, min values: -2.64479559868397, max values: 6.0, median values: 0.2253185272115247, and quantile values: 0.25 -0.478843\n0.50 0.225319\n0.75 0.907464\nName: 8876, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.007079792567726376, std values: 0.9084550941450849, min values: -2.6660404517971856, max values: 4.0, median values: 0.0965650002135474, and quantile values: 0.25 -0.607991\n0.50 0.096565\n0.75 0.647150\nName: 8877, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3548906076788513, std values: 0.8032525464153268, min values: -2.1227739687253626, max values: 3.784832159836258, median values: 0.3146075491910894, and quantile values: 0.25 -0.172221\n0.50 0.314608\n0.75 0.908836\nName: 8878, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01922500256766938, std values: 0.8224041607064214, min values: -2.7510671817729784, max values: 6.0, median values: 0.0110710300040209, and quantile values: 0.25 -0.503803\n0.50 0.011071\n0.75 0.486380\nName: 8879, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03133303875144478, std values: 0.9117184355817733, min values: -2.15141271142167, max values: 5.0, median values: -0.0177977214158248, and quantile values: 0.25 -0.683924\n0.50 -0.017798\n0.75 0.687708\nName: 8880, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4915780773273082, std values: 1.18740225744464, min values: -2.605098146828148, max values: 6.0, median values: 0.4488377969645816, and quantile values: 0.25 -0.455147\n0.50 0.448838\n0.75 1.498626\nName: 8881, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7850749578719708, std values: 1.2935421889156176, min values: -2.3771558481240653, max values: 4.0, median values: 0.5962052613688822, and quantile values: 0.25 -0.194551\n0.50 0.596205\n0.75 1.799486\nName: 8882, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1748318044483711, std values: 0.756243544444945, min values: -2.300042081328127, max values: 4.0, median values: 0.2195671197773782, and quantile values: 0.25 -0.290583\n0.50 0.219567\n0.75 0.670623\nName: 8883, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4997645535128449, std values: 1.0929188477420884, min values: -2.949186837165601, max values: 4.0, median values: -0.5181302130430806, and quantile values: 0.25 -1.280613\n0.50 -0.518130\n0.75 0.250034\nName: 8884, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4433500872287499, std values: 0.9396972645014838, min values: -2.3318239631491724, max values: 4.0, median values: -0.536544970425588, and quantile values: 0.25 -1.233143\n0.50 -0.536545\n0.75 0.182233\nName: 8885, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4440133961803117, std values: 1.0146517088827924, min values: -2.9898739724800576, max values: 2.6943127391900434, median values: 0.4585446451341555, and quantile values: 0.25 -0.333000\n0.50 0.458545\n0.75 1.271537\nName: 8886, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27198656498538787, std values: 0.8383642332368949, min values: -2.27742043919124, max values: 3.0, median values: -0.3951869810273943, and quantile values: 0.25 -0.868278\n0.50 -0.395187\n0.75 0.256013\nName: 8887, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24470904826000076, std values: 0.9043252671717181, min values: -2.8547740449753216, max values: 5.0, median values: 0.2580420907114865, and quantile values: 0.25 -0.286690\n0.50 0.258042\n0.75 0.820113\nName: 8888, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2798872064259054, std values: 0.8746242043229329, min values: -2.209283142861864, max values: 6.0, median values: 0.4054922807250712, and quantile values: 0.25 -0.314687\n0.50 0.405492\n0.75 0.879218\nName: 8889, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36221668600190043, std values: 1.001544921567293, min values: -2.769191083399913, max values: 3.569037956734876, median values: -0.2377367787889054, and quantile values: 0.25 -0.820146\n0.50 -0.237737\n0.75 0.265937\nName: 8890, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6238443377164592, std values: 1.1469339586298883, min values: -2.5695487141177, max values: 4.278004674434932, median values: 0.7172614801974793, and quantile values: 0.25 -0.065728\n0.50 0.717261\n0.75 1.450759\nName: 8891, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09660757487297514, std values: 0.7215519231915845, min values: -1.947288784346615, max values: 5.0, median values: 0.070034603874143, and quantile values: 0.25 -0.387338\n0.50 0.070035\n0.75 0.543488\nName: 8892, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1681180716279888, std values: 0.8174308972639017, min values: -2.36120258340179, max values: 5.0, median values: 0.131454578338073, and quantile values: 0.25 -0.373807\n0.50 0.131455\n0.75 0.657644\nName: 8893, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01446445751409607, std values: 1.1642498469892746, min values: -2.64479559868397, max values: 6.0, median values: 0.2274375839896333, and quantile values: 0.25 -0.647830\n0.50 0.227438\n0.75 0.892681\nName: 8894, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08513938934017633, std values: 0.8242558319385004, min values: -2.2012167772695554, max values: 3.670892362631932, median values: -0.1188081159932725, and quantile values: 0.25 -0.660039\n0.50 -0.118808\n0.75 0.442056\nName: 8895, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9849359911647998, std values: 1.3605862332480467, min values: -2.727901130262228, max values: 4.243835016543704, median values: -1.650633434008994, and quantile values: 0.25 -2.140406\n0.50 -1.650633\n0.75 0.167950\nName: 8896, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4069267034396732, std values: 0.7769311294893924, min values: -2.1144606839090367, max values: 3.5908526919299577, median values: 0.4307186553722832, and quantile values: 0.25 -0.075723\n0.50 0.430719\n0.75 0.920965\nName: 8897, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03709865239136965, std values: 0.8459679870699134, min values: -2.2398683045325223, max values: 3.0, median values: -0.0527346770521554, and quantile values: 0.25 -0.525198\n0.50 -0.052735\n0.75 0.565652\nName: 8898, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10620193388439705, std values: 0.8672387298951826, min values: -2.300042081328127, max values: 4.278004674434932, median values: 0.1408294506244501, and quantile values: 0.25 -0.509715\n0.50 0.140829\n0.75 0.749986\nName: 8899, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36265203297789045, std values: 0.8329155348535586, min values: -2.8451834694312192, max values: 3.215720519334646, median values: -0.4441826029236815, and quantile values: 0.25 -0.951369\n0.50 -0.444183\n0.75 0.180896\nName: 8900, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.054209307511672536, std values: 0.8159668246603087, min values: -2.72346435408924, max values: 4.0, median values: 0.002671316543776, and quantile values: 0.25 -0.466580\n0.50 0.002671\n0.75 0.545409\nName: 8901, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31125812149344073, std values: 0.8641066462865591, min values: -2.276788712131654, max values: 3.082096909284949, median values: -0.3915468215777095, and quantile values: 0.25 -1.019987\n0.50 -0.391547\n0.75 0.304714\nName: 8902, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46230155291564445, std values: 0.9000296356876076, min values: -2.169018218085154, max values: 3.3337116327022187, median values: -0.6307689531737544, and quantile values: 0.25 -1.168062\n0.50 -0.630769\n0.75 0.095458\nName: 8903, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.48204405375916326, std values: 0.8652740478457476, min values: -2.5631960397140583, max values: 4.0, median values: -0.6316091954008968, and quantile values: 0.25 -1.156151\n0.50 -0.631609\n0.75 0.104786\nName: 8904, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2071616370136049, std values: 0.8062554093655622, min values: -2.5631960397140583, max values: 4.0, median values: -0.3000778472728148, and quantile values: 0.25 -0.766174\n0.50 -0.300078\n0.75 0.274191\nName: 8905, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.46357707807078147, std values: 1.2152536465517043, min values: -2.8350118695332047, max values: 5.0, median values: 0.623828748920834, and quantile values: 0.25 -0.293000\n0.50 0.623829\n0.75 1.456206\nName: 8906, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7183377116981212, std values: 0.958363662179739, min values: -2.842043939794492, max values: 3.0, median values: -0.8301780113078261, and quantile values: 0.25 -1.434697\n0.50 -0.830178\n0.75 -0.085725\nName: 8907, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3241557516731664, std values: 0.9765102457654347, min values: -2.243018410266998, max values: 3.1888787873512885, median values: -0.4560648307892808, and quantile values: 0.25 -1.127932\n0.50 -0.456065\n0.75 0.349423\nName: 8908, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.48469086764359015, std values: 1.0447516025665362, min values: -2.8350118695332047, max values: 5.0, median values: -0.3772202682658725, and quantile values: 0.25 -1.233446\n0.50 -0.377220\n0.75 0.298852\nName: 8909, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1504528480630783, std values: 1.0091748621590322, min values: -2.687115288423959, max values: 5.0, median values: -0.1963814643616805, and quantile values: 0.25 -0.950975\n0.50 -0.196381\n0.75 0.571767\nName: 8910, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0667586235457345, std values: 0.8063732490006034, min values: -2.0397470924909658, max values: 4.0, median values: 0.018672739304974, and quantile values: 0.25 -0.478525\n0.50 0.018673\n0.75 0.589467\nName: 8911, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09934576239891021, std values: 0.8740014866489692, min values: -2.068409635448683, max values: 3.1841025362512254, median values: -0.1615564784999366, and quantile values: 0.25 -0.763001\n0.50 -0.161556\n0.75 0.514026\nName: 8912, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49213205857393516, std values: 0.8706507584039532, min values: -2.004028400410316, max values: 3.9048392686725855, median values: 0.5990873521853439, and quantile values: 0.25 -0.132743\n0.50 0.599087\n0.75 1.169152\nName: 8913, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34470626379101554, std values: 1.2123776433271667, min values: -2.7211321814067784, max values: 3.397048482165858, median values: 0.5836046680895858, and quantile values: 0.25 -0.376713\n0.50 0.583605\n0.75 1.253726\nName: 8914, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0831104734828593, std values: 1.1468720408979904, min values: -2.955641696055872, max values: 3.784832159836258, median values: 0.0642354614695541, and quantile values: 0.25 -0.817601\n0.50 0.064235\n0.75 0.895474\nName: 8915, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.816561275293725, std values: 1.2554864789350255, min values: -1.988675962110902, max values: 5.0, median values: 0.6999131533383045, and quantile values: 0.25 -0.195136\n0.50 0.699913\n0.75 1.924206\nName: 8916, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6322388924394258, std values: 0.966964112178601, min values: -1.9525921581657948, max values: 4.0, median values: 0.702413312062427, and quantile values: 0.25 -0.007711\n0.50 0.702413\n0.75 1.294161\nName: 8917, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5032931140220704, std values: 0.817869407231498, min values: -1.9914689440550823, max values: 6.0, median values: 0.5039385659845579, and quantile values: 0.25 -0.017902\n0.50 0.503939\n0.75 1.029485\nName: 8918, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24425943486556825, std values: 0.9169865489022991, min values: -2.8350118695332047, max values: 5.0, median values: -0.3120010895982682, and quantile values: 0.25 -0.828314\n0.50 -0.312001\n0.75 0.306250\nName: 8919, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17795553475309508, std values: 0.8067341727958784, min values: -2.099713839971814, max values: 5.0, median values: 0.2164294104185418, and quantile values: 0.25 -0.344227\n0.50 0.216429\n0.75 0.670726\nName: 8920, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03947964396216512, std values: 0.908466585670037, min values: -2.560041333834972, max values: 2.659489945633004, median values: -0.1231628248128155, and quantile values: 0.25 -0.698768\n0.50 -0.123163\n0.75 0.563268\nName: 8921, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3041468181577275, std values: 0.84579531185097, min values: -2.783691185534105, max values: 3.336438412828754, median values: 0.3671709051178997, and quantile values: 0.25 -0.243889\n0.50 0.367171\n0.75 0.879496\nName: 8922, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12364546666174828, std values: 0.9668028287300454, min values: -2.841647375415054, max values: 5.0, median values: -0.1447691103030627, and quantile values: 0.25 -0.842446\n0.50 -0.144769\n0.75 0.574884\nName: 8923, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 1.005667211702234, std values: 1.032759044568294, min values: -2.021990593288096, max values: 4.0, median values: 1.183797481186528, and quantile values: 0.25 0.327523\n0.50 1.183797\n0.75 1.800888\nName: 8924, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10927220160304635, std values: 0.951785968954296, min values: -2.632854336056873, max values: 3.17157439250477, median values: 0.2479620632052608, and quantile values: 0.25 -0.405544\n0.50 0.247962\n0.75 0.749658\nName: 8925, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5788642498474069, std values: 0.9723292844832426, min values: -2.6404955031131814, max values: 6.0, median values: 0.6128318119156362, and quantile values: 0.25 -0.057274\n0.50 0.612832\n0.75 1.241697\nName: 8926, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2544701504449861, std values: 0.7391221189231476, min values: -2.035433106585047, max values: 3.2936960268109283, median values: 0.2948752769765158, and quantile values: 0.25 -0.236774\n0.50 0.294875\n0.75 0.747471\nName: 8927, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14084729526061265, std values: 1.3001467701683933, min values: -2.623568901859613, max values: 4.0, median values: -0.2485714186341951, and quantile values: 0.25 -1.171884\n0.50 -0.248571\n0.75 0.815127\nName: 8928, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26833663637863664, std values: 0.8930533257088237, min values: -2.2065783767301927, max values: 6.0, median values: 0.2780811750160303, and quantile values: 0.25 -0.361734\n0.50 0.278081\n0.75 0.866350\nName: 8929, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24974907374140673, std values: 0.7667988274931425, min values: -1.9315357598542853, max values: 5.0, median values: 0.2858279493910829, and quantile values: 0.25 -0.231085\n0.50 0.285828\n0.75 0.724042\nName: 8930, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5152447944264391, std values: 0.9487989251038518, min values: -2.12073996675014, max values: 4.278004674434932, median values: 0.457533911757542, and quantile values: 0.25 -0.122858\n0.50 0.457534\n0.75 1.159293\nName: 8931, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2885224888636021, std values: 0.85649318838925, min values: -2.0228420875355884, max values: 6.0, median values: -0.3629025882039047, and quantile values: 0.25 -0.977331\n0.50 -0.362903\n0.75 0.289292\nName: 8932, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06374576617057592, std values: 0.8019566688597864, min values: -2.271152100770676, max values: 4.0, median values: 0.006263184631349, and quantile values: 0.25 -0.622692\n0.50 0.006263\n0.75 0.490272\nName: 8933, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3440512515598334, std values: 1.0863302447703815, min values: -2.608390851963037, max values: 5.0, median values: 0.5782327221935986, and quantile values: 0.25 -0.260491\n0.50 0.578233\n0.75 1.100453\nName: 8934, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0939543908110433, std values: 0.8410378271312214, min values: -2.662750916816848, max values: 5.0, median values: 0.1304926555657804, and quantile values: 0.25 -0.456825\n0.50 0.130493\n0.75 0.607110\nName: 8935, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.032825943969215995, std values: 0.8396419829681536, min values: -2.1475280888671984, max values: 5.0, median values: -0.0237135708453392, and quantile values: 0.25 -0.634941\n0.50 -0.023714\n0.75 0.527505\nName: 8936, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.231556641821449, std values: 0.8748941110972511, min values: -2.537573835824454, max values: 6.0, median values: 0.2845573372456744, and quantile values: 0.25 -0.407777\n0.50 0.284557\n0.75 0.910827\nName: 8937, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25694533865850633, std values: 1.0899418232603413, min values: -2.9797100147087465, max values: 5.0, median values: 0.384845925505953, and quantile values: 0.25 -0.452282\n0.50 0.384846\n0.75 1.064073\nName: 8938, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25289991793045724, std values: 0.7748625653275939, min values: -2.90140378513671, max values: 3.0774992973297404, median values: 0.3234109286733868, and quantile values: 0.25 -0.259466\n0.50 0.323411\n0.75 0.768836\nName: 8939, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07672182188798501, std values: 0.7795376660028828, min values: -2.105967784650795, max values: 4.0, median values: 0.101376324201045, and quantile values: 0.25 -0.426772\n0.50 0.101376\n0.75 0.552159\nName: 8940, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13725243072990978, std values: 0.7970946627470034, min values: -2.300042081328127, max values: 4.0, median values: -0.129118654590082, and quantile values: 0.25 -0.726586\n0.50 -0.129119\n0.75 0.466317\nName: 8941, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.055836895812582416, std values: 0.8469636274715185, min values: -2.209283142861864, max values: 6.0, median values: 0.0342104987377232, and quantile values: 0.25 -0.518627\n0.50 0.034210\n0.75 0.545025\nName: 8942, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4377869156698566, std values: 1.0603715687155122, min values: -2.497627580948261, max values: 3.1995118554872866, median values: 0.5317474788447528, and quantile values: 0.25 -0.223709\n0.50 0.531747\n0.75 1.259819\nName: 8943, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.244252760535022, std values: 0.9530946460684804, min values: -2.7825548156447035, max values: 6.0, median values: -0.3470933301931504, and quantile values: 0.25 -1.039297\n0.50 -0.347093\n0.75 0.449100\nName: 8944, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03632302730217451, std values: 0.9757874821880443, min values: -2.673124659932621, max values: 6.0, median values: 0.1170685773985098, and quantile values: 0.25 -0.406019\n0.50 0.117069\n0.75 0.617618\nName: 8945, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2275515972293532, std values: 0.8773138510502378, min values: -2.4502625580775623, max values: 5.0, median values: 0.227272851236107, and quantile values: 0.25 -0.377916\n0.50 0.227273\n0.75 0.815343\nName: 8946, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18498521376708044, std values: 0.8551633504651733, min values: -2.1695974540436334, max values: 4.0, median values: 0.1057009257136849, and quantile values: 0.25 -0.385202\n0.50 0.105701\n0.75 0.733812\nName: 8947, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5210602725580119, std values: 0.9033773852123107, min values: -1.9714657939353928, max values: 4.0, median values: 0.5716050982104021, and quantile values: 0.25 -0.086720\n0.50 0.571605\n0.75 1.145064\nName: 8948, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13632938907987566, std values: 0.8692674139826427, min values: -2.4960309093026924, max values: 3.336438412828754, median values: 0.106699188528668, and quantile values: 0.25 -0.422358\n0.50 0.106699\n0.75 0.652014\nName: 8949, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16666348742137727, std values: 0.7947867089753406, min values: -2.2161166709808824, max values: 6.0, median values: 0.1678102147600103, and quantile values: 0.25 -0.327300\n0.50 0.167810\n0.75 0.649902\nName: 8950, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35755082196276433, std values: 0.8546020593804243, min values: -2.45229857681487, max values: 3.518664430018096, median values: 0.4141548870255154, and quantile values: 0.25 -0.207767\n0.50 0.414155\n0.75 0.986017\nName: 8951, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07346410066219654, std values: 0.7467348119384336, min values: -2.5422910691068967, max values: 3.1175233493066874, median values: 0.0361213762038879, and quantile values: 0.25 -0.374694\n0.50 0.036121\n0.75 0.507375\nName: 8952, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2758413044316318, std values: 0.9547670739650891, min values: -2.740813841730953, max values: 3.0, median values: -0.3501260114552348, and quantile values: 0.25 -0.975766\n0.50 -0.350126\n0.75 0.364109\nName: 8953, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5074934854249741, std values: 0.8836457590023428, min values: -2.5293911731823453, max values: 3.0, median values: -0.6236757967610177, and quantile values: 0.25 -1.100713\n0.50 -0.623676\n0.75 0.016687\nName: 8954, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11783490290952553, std values: 0.8448324637698295, min values: -2.300042081328127, max values: 4.0, median values: 0.118306112222915, and quantile values: 0.25 -0.433146\n0.50 0.118306\n0.75 0.660245\nName: 8955, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03135331172241501, std values: 0.9406588883636434, min values: -2.4413085274601323, max values: 5.0, median values: -0.00817762968887, and quantile values: 0.25 -0.799413\n0.50 -0.008178\n0.75 0.687338\nName: 8956, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.122860721410348, std values: 0.7820604368112625, min values: -1.9474461902373128, max values: 3.096891534584617, median values: 0.0377929322333846, and quantile values: 0.25 -0.387457\n0.50 0.037793\n0.75 0.588222\nName: 8957, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1995252709056364, std values: 1.0393201153950138, min values: -2.7230534645798463, max values: 3.867701659180865, median values: -0.211100995686028, and quantile values: 0.25 -0.865285\n0.50 -0.211101\n0.75 0.470537\nName: 8958, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5938309856541725, std values: 0.9631338637319403, min values: -2.8246479422601736, max values: 6.0, median values: -0.701183598672464, and quantile values: 0.25 -1.277618\n0.50 -0.701184\n0.75 0.032952\nName: 8959, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.461524878573835, std values: 0.8083858166499928, min values: -2.789830374413015, max values: 3.0, median values: -0.5965258431883848, and quantile values: 0.25 -1.051584\n0.50 -0.596526\n0.75 0.038628\nName: 8960, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26243195134740316, std values: 0.8605155816835622, min values: -2.142854198138545, max values: 5.0, median values: -0.3569440132508436, and quantile values: 0.25 -0.853334\n0.50 -0.356944\n0.75 0.263567\nName: 8961, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.318706591239132, std values: 0.7934701997460645, min values: -2.024122085395157, max values: 5.0, median values: 0.2569318567874181, and quantile values: 0.25 -0.196427\n0.50 0.256932\n0.75 0.844450\nName: 8962, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2677103716045641, std values: 0.8505989890221447, min values: -3.002493140275396, max values: 5.0, median values: -0.3364660534537546, and quantile values: 0.25 -0.924134\n0.50 -0.336466\n0.75 0.314533\nName: 8963, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10824118635211505, std values: 0.9534326752590551, min values: -3.760287110694257, max values: 3.518664430018096, median values: 0.1077491473336132, and quantile values: 0.25 -0.532666\n0.50 0.107749\n0.75 0.759028\nName: 8964, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07083420483657467, std values: 0.9147604208871313, min values: -2.5563022890751474, max values: 4.0, median values: -0.1457846316030999, and quantile values: 0.25 -0.684389\n0.50 -0.145785\n0.75 0.535072\nName: 8965, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28343410315480766, std values: 0.8645791516139671, min values: -1.9934734841108936, max values: 5.0, median values: 0.2264483314714953, and quantile values: 0.25 -0.273677\n0.50 0.226448\n0.75 0.781005\nName: 8966, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3459572119759476, std values: 1.0734669132246697, min values: -2.928515832252388, max values: 3.0089865423056903, median values: -0.2176418223096449, and quantile values: 0.25 -1.011706\n0.50 -0.217642\n0.75 0.376916\nName: 8967, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20607371784643594, std values: 0.8823014857803562, min values: -2.5689076212724418, max values: 5.0, median values: -0.2968259300107266, and quantile values: 0.25 -0.804237\n0.50 -0.296826\n0.75 0.296900\nName: 8968, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2716275714049285, std values: 0.8219509978741218, min values: -2.769191083399913, max values: 3.1395741599540568, median values: -0.2609983265889418, and quantile values: 0.25 -0.749770\n0.50 -0.260998\n0.75 0.226533\nName: 8969, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.044113031122560695, std values: 0.8054161122994646, min values: -2.119621483749997, max values: 3.379902545505621, median values: 0.0807996646444964, and quantile values: 0.25 -0.499379\n0.50 0.080800\n0.75 0.551838\nName: 8970, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29038106566427246, std values: 0.8948726433616843, min values: -2.0618486359083783, max values: 6.0, median values: -0.3361746364240802, and quantile values: 0.25 -1.021135\n0.50 -0.336175\n0.75 0.298811\nName: 8971, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12531888472539274, std values: 0.8335091021263605, min values: -2.6899145007874274, max values: 4.243835016543704, median values: -0.2354710945203676, and quantile values: 0.25 -0.734425\n0.50 -0.235471\n0.75 0.409627\nName: 8972, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12244759406712738, std values: 0.8443237238488318, min values: -2.275531026921315, max values: 6.0, median values: 0.0525967893912053, and quantile values: 0.25 -0.484709\n0.50 0.052597\n0.75 0.704875\nName: 8973, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13062485347211877, std values: 0.9850918194935628, min values: -2.7428415536925543, max values: 5.0, median values: -0.1511250804106328, and quantile values: 0.25 -0.868534\n0.50 -0.151125\n0.75 0.563877\nName: 8974, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0603677890005273, std values: 0.785862488243106, min values: -2.62876542141649, max values: 3.569037956734876, median values: 0.0787611718490758, and quantile values: 0.25 -0.460565\n0.50 0.078761\n0.75 0.502462\nName: 8975, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23527384383723945, std values: 0.7804916121825501, min values: -2.226424194672579, max values: 4.243835016543704, median values: 0.2663648270495196, and quantile values: 0.25 -0.265574\n0.50 0.266365\n0.75 0.778730\nName: 8976, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13803895017151482, std values: 0.8039949290535303, min values: -2.72346435408924, max values: 4.0, median values: 0.0951263630201739, and quantile values: 0.25 -0.394324\n0.50 0.095126\n0.75 0.609142\nName: 8977, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12934463944321858, std values: 0.8684647613744655, min values: -2.267175988438518, max values: 5.0, median values: -0.1817043616243136, and quantile values: 0.25 -0.734146\n0.50 -0.181704\n0.75 0.403851\nName: 8978, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32255454335822, std values: 0.8491328092209526, min values: -2.5774281843044924, max values: 6.0, median values: 0.3723269478532733, and quantile values: 0.25 -0.256257\n0.50 0.372327\n0.75 0.924725\nName: 8979, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6015114466060812, std values: 1.258154603036642, min values: -2.769191083399913, max values: 3.336438412828754, median values: -0.6424178162746081, and quantile values: 0.25 -1.595149\n0.50 -0.642418\n0.75 0.225115\nName: 8980, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11098580870516031, std values: 1.2130535751096154, min values: -2.8467638118011016, max values: 5.0, median values: 0.3291019054812538, and quantile values: 0.25 -0.585245\n0.50 0.329102\n0.75 1.037716\nName: 8981, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04361651038306575, std values: 0.8096288997216653, min values: -2.264034258932616, max values: 3.124705982383484, median values: -0.1423334230470194, and quantile values: 0.25 -0.619862\n0.50 -0.142333\n0.75 0.490378\nName: 8982, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2600279969070701, std values: 1.1123201810536214, min values: -2.542889966859849, max values: 6.0, median values: 0.1766986377402027, and quantile values: 0.25 -0.655014\n0.50 0.176699\n0.75 1.081396\nName: 8983, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29058771000887595, std values: 1.285990179472475, min values: -3.12109453895821, max values: 3.709787027503053, median values: 0.4506168206317896, and quantile values: 0.25 -0.358171\n0.50 0.450617\n0.75 1.177534\nName: 8984, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8083505260075956, std values: 0.9798466364435187, min values: -2.6117120822772133, max values: 5.0, median values: 0.8551191878990781, and quantile values: 0.25 0.104481\n0.50 0.855119\n0.75 1.573129\nName: 8985, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4109392842265165, std values: 1.1573707682283585, min values: -2.657750824678472, max values: 5.0, median values: 0.2907571090544693, and quantile values: 0.25 -0.385617\n0.50 0.290757\n0.75 1.234525\nName: 8986, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11922909907082635, std values: 1.1520453720741861, min values: -3.0363117572416627, max values: 5.0, median values: 0.1324927026367215, and quantile values: 0.25 -0.634912\n0.50 0.132493\n0.75 0.998403\nName: 8987, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46182985291482487, std values: 0.9202639595789962, min values: -2.544090505787277, max values: 3.3014869995452325, median values: -0.5800495039532341, and quantile values: 0.25 -1.187856\n0.50 -0.580050\n0.75 0.133124\nName: 8988, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17042569164278984, std values: 0.755547962261368, min values: -2.419659473655063, max values: 4.026668017837955, median values: -0.2761076407736369, and quantile values: 0.25 -0.689625\n0.50 -0.276108\n0.75 0.280946\nName: 8989, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3335086569034489, std values: 0.9786854130171075, min values: -2.024122085395157, max values: 3.415255285860171, median values: 0.2230593143903975, and quantile values: 0.25 -0.394711\n0.50 0.223059\n0.75 1.028287\nName: 8990, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3399857818813971, std values: 1.1999274771259991, min values: -2.769191083399913, max values: 3.141939528112806, median values: -0.3987529586457911, and quantile values: 0.25 -1.102693\n0.50 -0.398753\n0.75 0.469094\nName: 8991, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.025952682708270794, std values: 0.678961680256001, min values: -2.6115251494731915, max values: 3.110498035652072, median values: -0.050280424134175, and quantile values: 0.25 -0.425926\n0.50 -0.050280\n0.75 0.362390\nName: 8992, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19815448268423635, std values: 0.9752757732265249, min values: -2.64479559868397, max values: 3.760287110694155, median values: -0.2837850898476615, and quantile values: 0.25 -0.968345\n0.50 -0.283785\n0.75 0.481829\nName: 8993, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23983706353162232, std values: 1.078354318250968, min values: -2.287426320816534, max values: 3.455472209455805, median values: -0.3692130591857749, and quantile values: 0.25 -1.124710\n0.50 -0.369213\n0.75 0.456588\nName: 8994, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1469792222373146, std values: 1.0411043199077452, min values: -2.261100711934107, max values: 3.2696814875916886, median values: 0.12275798936634, and quantile values: 0.25 -0.634773\n0.50 0.122758\n0.75 0.978742\nName: 8995, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0713640799815283, std values: 0.876313827912177, min values: -2.842989614395848, max values: 5.0, median values: 0.1055345588450427, and quantile values: 0.25 -0.451032\n0.50 0.105535\n0.75 0.653956\nName: 8996, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5722639417083962, std values: 0.831265683820396, min values: -2.070226764228553, max values: 6.0, median values: 0.6683483947810749, and quantile values: 0.25 0.030328\n0.50 0.668348\n0.75 1.161928\nName: 8997, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1419083110698351, std values: 0.9251758712925335, min values: -2.233577636815252, max values: 5.0, median values: -0.2662506935487274, and quantile values: 0.25 -0.838838\n0.50 -0.266251\n0.75 0.506381\nName: 8998, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01829128948414211, std values: 0.937234607382098, min values: -2.6466193392086392, max values: 4.0, median values: -0.0678357494185466, and quantile values: 0.25 -0.669382\n0.50 -0.067836\n0.75 0.641198\nName: 8999, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04903551893735567, std values: 0.8902776172864767, min values: -2.240740315114864, max values: 4.0, median values: 0.0607780745272089, and quantile values: 0.25 -0.587469\n0.50 0.060778\n0.75 0.606570\nName: 9000, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4243761569157385, std values: 0.9322819109365432, min values: -2.632854336056873, max values: 3.2936960268109283, median values: 0.4323529295960745, and quantile values: 0.25 -0.179693\n0.50 0.432353\n0.75 1.013008\nName: 9001, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03903972858465424, std values: 0.8785684944843843, min values: -2.1773350090209145, max values: 3.496479817235339, median values: -0.0115667693995849, and quantile values: 0.25 -0.516423\n0.50 -0.011567\n0.75 0.567261\nName: 9002, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2373878136572536, std values: 0.8733829632253441, min values: -3.5073564001364024, max values: 2.9014037851367123, median values: -0.1848726304115495, and quantile values: 0.25 -0.824516\n0.50 -0.184873\n0.75 0.310407\nName: 9003, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2485015419799582, std values: 0.8556839533675803, min values: -2.521882829270847, max values: 4.0, median values: 0.2777387395235404, and quantile values: 0.25 -0.261218\n0.50 0.277739\n0.75 0.802475\nName: 9004, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04752682009364236, std values: 0.8534151805510594, min values: -3.1070421433302986, max values: 2.9797100147087403, median values: -0.0662723612242092, and quantile values: 0.25 -0.588681\n0.50 -0.066272\n0.75 0.460963\nName: 9005, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6892912903472013, std values: 0.8714216201721471, min values: -2.5569229852416258, max values: 4.0, median values: 0.8192859590363983, and quantile values: 0.25 0.143280\n0.50 0.819286\n0.75 1.323208\nName: 9006, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6789074700325092, std values: 0.9964607344224126, min values: -2.7016525309724218, max values: 3.528773265847577, median values: 0.825251338182231, and quantile values: 0.25 0.044353\n0.50 0.825251\n0.75 1.359704\nName: 9007, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3024417534274625, std values: 0.821811722413808, min values: -2.083555534231988, max values: 5.0, median values: 0.3196391075552117, and quantile values: 0.25 -0.248203\n0.50 0.319639\n0.75 0.846537\nName: 9008, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14430179527990186, std values: 0.8454715451661335, min values: -2.860922438481449, max values: 3.569037956734876, median values: -0.1170887601788995, and quantile values: 0.25 -0.680064\n0.50 -0.117089\n0.75 0.351710\nName: 9009, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04550789852066941, std values: 0.9478831349505114, min values: -2.916688926075616, max values: 6.0, median values: 0.0464204086536075, and quantile values: 0.25 -0.662301\n0.50 0.046420\n0.75 0.634883\nName: 9010, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19675431760821163, std values: 0.8664111273484317, min values: -2.643887016977268, max values: 6.0, median values: -0.254523613898357, and quantile values: 0.25 -0.727878\n0.50 -0.254524\n0.75 0.393691\nName: 9011, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37263983139749846, std values: 0.921370729064729, min values: -2.673549169958716, max values: 6.0, median values: -0.4463306924084401, and quantile values: 0.25 -0.989521\n0.50 -0.446331\n0.75 0.201090\nName: 9012, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1079665129717924, std values: 0.8611541631072303, min values: -2.673124659932621, max values: 6.0, median values: -0.1456176325019771, and quantile values: 0.25 -0.620149\n0.50 -0.145618\n0.75 0.444395\nName: 9013, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13331186261962188, std values: 0.780546373707918, min values: -3.002493140275396, max values: 5.0, median values: 0.1585445912589549, and quantile values: 0.25 -0.384183\n0.50 0.158545\n0.75 0.620420\nName: 9014, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.062489955857831805, std values: 1.0313325493895151, min values: -2.684072796644972, max values: 6.0, median values: -0.0223364639237373, and quantile values: 0.25 -0.630437\n0.50 -0.022336\n0.75 0.611398\nName: 9015, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07659585862494256, std values: 0.9682328014934333, min values: -2.64479559868397, max values: 6.0, median values: 0.1404982752883571, and quantile values: 0.25 -0.534889\n0.50 0.140498\n0.75 0.659834\nName: 9016, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07387566499434403, std values: 1.0109252565021585, min values: -2.879968592907284, max values: 4.0, median values: 0.064140728497327, and quantile values: 0.25 -0.555337\n0.50 0.064141\n0.75 0.549280\nName: 9017, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8472584396822408, std values: 1.1156263304306415, min values: -1.9108337573155767, max values: 5.0, median values: 0.7780840817983211, and quantile values: 0.25 -0.011156\n0.50 0.778084\n0.75 1.760321\nName: 9018, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3481716941892695, std values: 0.8872888994009729, min values: -1.987483703767688, max values: 3.336438412828754, median values: 0.3098292104381184, and quantile values: 0.25 -0.245404\n0.50 0.309829\n0.75 0.928431\nName: 9019, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4094847815518776, std values: 0.9572687250233116, min values: -2.572123985342288, max values: 4.0, median values: 0.3993590631912838, and quantile values: 0.25 -0.305700\n0.50 0.399359\n0.75 1.175613\nName: 9020, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5062680612576622, std values: 1.2023593038233578, min values: -2.8834699678265463, max values: 5.0, median values: 0.5945404291485002, and quantile values: 0.25 -0.179273\n0.50 0.594540\n0.75 1.471106\nName: 9021, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32013671195711096, std values: 0.7552434384294606, min values: -1.9918692121535213, max values: 3.2936960268109283, median values: 0.3020661633759628, and quantile values: 0.25 -0.141522\n0.50 0.302066\n0.75 0.758155\nName: 9022, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07824901780071002, std values: 0.9742093635695673, min values: -2.8282523283494294, max values: 4.0, median values: 0.0528725657157575, and quantile values: 0.25 -0.585932\n0.50 0.052873\n0.75 0.542913\nName: 9023, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21457060708220455, std values: 1.2657379194646305, min values: -3.598076523509849, max values: 3.349054967837474, median values: 0.1692236880601757, and quantile values: 0.25 -0.809826\n0.50 0.169224\n0.75 1.285365\nName: 9024, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13372189149494887, std values: 1.06529040981008, min values: -2.7211321814067784, max values: 3.047545592545638, median values: 0.3145578824248995, and quantile values: 0.25 -0.401698\n0.50 0.314558\n0.75 0.933388\nName: 9025, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7851385278411458, std values: 0.891252411824071, min values: -2.2915911556076085, max values: 3.455472209455805, median values: 0.8375078163480291, and quantile values: 0.25 0.174853\n0.50 0.837508\n0.75 1.466242\nName: 9026, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2610875570289868, std values: 0.8457784716410474, min values: -2.226424194672579, max values: 4.0, median values: -0.3144844128296524, and quantile values: 0.25 -0.918871\n0.50 -0.314484\n0.75 0.325644\nName: 9027, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4977197189370879, std values: 0.9222660872718648, min values: -2.730840794324401, max values: 3.390469008396469, median values: 0.4747121255174827, and quantile values: 0.25 -0.075987\n0.50 0.474712\n0.75 1.136546\nName: 9028, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2072346445155394, std values: 1.0174214128178283, min values: -2.6466193392086392, max values: 4.0, median values: 0.1534710643158307, and quantile values: 0.25 -0.450696\n0.50 0.153471\n0.75 0.921984\nName: 9029, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15157021107755422, std values: 1.0066177267836842, min values: -2.1519703158873136, max values: 3.1888787873512885, median values: -0.2365754638823307, and quantile values: 0.25 -0.991491\n0.50 -0.236575\n0.75 0.593567\nName: 9030, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7354699684064135, std values: 1.0959507851324202, min values: -2.873069976951463, max values: 3.5581019918925243, median values: -0.8530964842689222, and quantile values: 0.25 -1.520659\n0.50 -0.853096\n0.75 0.005011\nName: 9031, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26577998767877153, std values: 0.8152315575384225, min values: -2.0994996460183817, max values: 5.0, median values: -0.2921938270304925, and quantile values: 0.25 -0.825085\n0.50 -0.292194\n0.75 0.193592\nName: 9032, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0962056282051783, std values: 0.8943483809009336, min values: -2.096272675358738, max values: 4.278004674434932, median values: 0.1480897172722053, and quantile values: 0.25 -0.546523\n0.50 0.148090\n0.75 0.719647\nName: 9033, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22212078036199134, std values: 0.8955976561153705, min values: -2.081017018698733, max values: 3.2701555622463814, median values: 0.1573734198310648, and quantile values: 0.25 -0.442815\n0.50 0.157373\n0.75 0.835086\nName: 9034, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32204751635857065, std values: 0.8889637731674074, min values: -2.196708653609315, max values: 6.0, median values: -0.3755504231805521, and quantile values: 0.25 -1.049814\n0.50 -0.375550\n0.75 0.315576\nName: 9035, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16356048541208162, std values: 0.7830647470816713, min values: -2.580492024304656, max values: 4.278004674434932, median values: 0.098446597077994, and quantile values: 0.25 -0.354829\n0.50 0.098447\n0.75 0.694015\nName: 9036, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40681635381894365, std values: 0.8508408758107583, min values: -2.618746139350171, max values: 3.17157439250477, median values: 0.4955291249251637, and quantile values: 0.25 -0.146119\n0.50 0.495529\n0.75 1.011040\nName: 9037, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4889570033446883, std values: 0.9579736974105434, min values: -2.739804196611005, max values: 6.0, median values: -0.4907868159525694, and quantile values: 0.25 -1.159570\n0.50 -0.490787\n0.75 0.107365\nName: 9038, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4494632965975453, std values: 1.0473202882616761, min values: -2.8834699678265463, max values: 5.0, median values: -0.4433039886785304, and quantile values: 0.25 -1.087255\n0.50 -0.443304\n0.75 0.238954\nName: 9039, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1386029236437558, std values: 0.8142447471310398, min values: -2.120681876014718, max values: 3.784832159836258, median values: -0.2102594622416827, and quantile values: 0.25 -0.647898\n0.50 -0.210259\n0.75 0.313240\nName: 9040, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.032684049878685166, std values: 0.9280136096881015, min values: -2.2398683045325223, max values: 3.0, median values: -0.0371039664645468, and quantile values: 0.25 -0.683089\n0.50 -0.037104\n0.75 0.662438\nName: 9041, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26608608120503546, std values: 0.9669892114920845, min values: -2.446475285346346, max values: 2.876502173242564, median values: -0.3683276485128695, and quantile values: 0.25 -1.047157\n0.50 -0.368328\n0.75 0.471124\nName: 9042, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16509573033759703, std values: 1.1666160728051402, min values: -2.769191083399913, max values: 3.342680184682138, median values: 0.0285070729758381, and quantile values: 0.25 -0.838715\n0.50 0.028507\n0.75 0.614087\nName: 9043, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18345248742175577, std values: 0.8343217736543427, min values: -2.2915911556076085, max values: 3.496479817235339, median values: -0.2680201535996551, and quantile values: 0.25 -0.773269\n0.50 -0.268020\n0.75 0.364966\nName: 9044, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5059284608213354, std values: 0.8448757840565037, min values: -2.209826040384377, max values: 3.630507857092792, median values: 0.5753056562759576, and quantile values: 0.25 -0.020469\n0.50 0.575306\n0.75 1.032144\nName: 9045, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.019379193541415096, std values: 0.7238223390725489, min values: -1.95000464165448, max values: 3.1395741599540568, median values: -0.0224464249092167, and quantile values: 0.25 -0.496075\n0.50 -0.022446\n0.75 0.403056\nName: 9046, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19491649504762842, std values: 0.92281009080497, min values: -2.623568901859613, max values: 4.0, median values: -0.1590465883562533, and quantile values: 0.25 -0.688786\n0.50 -0.159047\n0.75 0.391368\nName: 9047, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5625720786409982, std values: 0.7976379877800566, min values: -2.732564679617164, max values: 3.415255285860171, median values: -0.6325714729969119, and quantile values: 0.25 -1.169152\n0.50 -0.632571\n0.75 -0.093730\nName: 9048, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05797701324771203, std values: 0.9058114557955627, min values: -2.5953860446419177, max values: 3.405671179043623, median values: 0.0887378315661425, and quantile values: 0.25 -0.473205\n0.50 0.088738\n0.75 0.625888\nName: 9049, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22673057834549684, std values: 0.8203227793786543, min values: -2.3333312203517527, max values: 3.025409039429847, median values: -0.3226837768922815, and quantile values: 0.25 -0.786853\n0.50 -0.322684\n0.75 0.254371\nName: 9050, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2278051042937262, std values: 0.8302198236172068, min values: -2.733804248449497, max values: 3.405671179043623, median values: -0.1811200509196794, and quantile values: 0.25 -0.759952\n0.50 -0.181120\n0.75 0.280268\nName: 9051, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10856195406733081, std values: 0.8139559533386983, min values: -2.560041333834972, max values: 2.7478534422020777, median values: 0.1092190888919135, and quantile values: 0.25 -0.437506\n0.50 0.109219\n0.75 0.655902\nName: 9052, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22659229889424853, std values: 0.9527866833251598, min values: -2.7211321814067784, max values: 3.2071942083719924, median values: -0.1885806911465641, and quantile values: 0.25 -0.844175\n0.50 -0.188581\n0.75 0.348761\nName: 9053, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05661252582264788, std values: 1.0579738891567212, min values: -2.0884068356849723, max values: 4.0, median values: -0.17339882617906, and quantile values: 0.25 -0.871660\n0.50 -0.173399\n0.75 0.590737\nName: 9054, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0839711657623123, std values: 0.7549369276796882, min values: -2.8998169811239416, max values: 2.578957078189664, median values: 0.0261928814230182, and quantile values: 0.25 -0.444669\n0.50 0.026193\n0.75 0.587044\nName: 9055, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07224322142079269, std values: 0.982339673877714, min values: -2.2038853164231766, max values: 3.760287110694155, median values: -0.2100860887717305, and quantile values: 0.25 -0.816111\n0.50 -0.210086\n0.75 0.581280\nName: 9056, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4658853832187868, std values: 0.9595651182299728, min values: -2.6660404517971856, max values: 4.0, median values: -0.4009104620098498, and quantile values: 0.25 -0.990292\n0.50 -0.400910\n0.75 0.091862\nName: 9057, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25801888903065195, std values: 0.9930467052748938, min values: -2.8889090019311845, max values: 5.0, median values: 0.367240253331379, and quantile values: 0.25 -0.284013\n0.50 0.367240\n0.75 0.882214\nName: 9058, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5561060915796301, std values: 1.1699374990594142, min values: -1.9839237799337628, max values: 3.2266531185902125, median values: 0.4955140448291297, and quantile values: 0.25 -0.384549\n0.50 0.495514\n0.75 1.569910\nName: 9059, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.051385819269271514, std values: 1.0960394121327068, min values: -2.949186837165601, max values: 4.0, median values: 0.237481828591934, and quantile values: 0.25 -0.440307\n0.50 0.237482\n0.75 0.752214\nName: 9060, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11716758436130974, std values: 0.8905006264313963, min values: -3.074005993202373, max values: 3.867701659180865, median values: -0.0505561675134681, and quantile values: 0.25 -0.718648\n0.50 -0.050556\n0.75 0.484800\nName: 9061, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08714201713396526, std values: 0.8583372750315117, min values: -3.071284484560209, max values: 3.9905524164385566, median values: -0.0489569087580908, and quantile values: 0.25 -0.680865\n0.50 -0.048957\n0.75 0.475506\nName: 9062, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10834811515722144, std values: 1.0778045815588293, min values: -2.9265160609644223, max values: 6.0, median values: -0.049894389821067, and quantile values: 0.25 -0.667041\n0.50 -0.049894\n0.75 0.568883\nName: 9063, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17764816395289962, std values: 0.8616666576592196, min values: -2.057298247154041, max values: 4.0, median values: -0.2419465391059828, and quantile values: 0.25 -0.777962\n0.50 -0.241947\n0.75 0.348066\nName: 9064, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3822414075430701, std values: 0.9942023590825638, min values: -2.4737574649270093, max values: 3.784832159836258, median values: 0.4386414157959623, and quantile values: 0.25 -0.347064\n0.50 0.438641\n0.75 1.143677\nName: 9065, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44401582551292257, std values: 1.0673190490638742, min values: -2.171554185805986, max values: 5.0, median values: 0.5484833652741719, and quantile values: 0.25 -0.367443\n0.50 0.548483\n0.75 1.235827\nName: 9066, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.112935288630404, std values: 0.9454238219144911, min values: -2.486556664247513, max values: 3.236860296211547, median values: -0.2235152554514564, and quantile values: 0.25 -0.836701\n0.50 -0.223515\n0.75 0.497882\nName: 9067, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38573006107270696, std values: 0.88285044755162, min values: -2.6652153608723106, max values: 5.0, median values: 0.5316113656144756, and quantile values: 0.25 -0.107341\n0.50 0.531611\n0.75 0.986282\nName: 9068, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1340961696756384, std values: 0.7374441285551072, min values: -2.12073996675014, max values: 3.163266084685921, median values: 0.1795805540313017, and quantile values: 0.25 -0.373926\n0.50 0.179581\n0.75 0.647510\nName: 9069, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4676524285290018, std values: 0.9169565008079915, min values: -2.0513495754327686, max values: 6.0, median values: 0.3772649613607885, and quantile values: 0.25 -0.127716\n0.50 0.377265\n0.75 1.042389\nName: 9070, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2780457279024589, std values: 0.8175761459713803, min values: -2.6115251494731915, max values: 3.405671179043623, median values: -0.3835213640922287, and quantile values: 0.25 -0.898480\n0.50 -0.383521\n0.75 0.242920\nName: 9071, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4620472882616899, std values: 0.787646936300586, min values: -2.2272703849889663, max values: 3.397048482165858, median values: 0.4176500025480612, and quantile values: 0.25 -0.039054\n0.50 0.417650\n0.75 0.977630\nName: 9072, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16665394892055052, std values: 1.064677903645076, min values: -2.7211321814067784, max values: 3.1801075704642923, median values: -0.1394970966682714, and quantile values: 0.25 -0.944037\n0.50 -0.139497\n0.75 0.595967\nName: 9073, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2544262638917049, std values: 0.7726082198769749, min values: -2.15199289009116, max values: 3.036311757241655, median values: -0.3382151568081987, and quantile values: 0.25 -0.783426\n0.50 -0.338215\n0.75 0.228534\nName: 9074, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31732256959466265, std values: 0.8487496685815047, min values: -2.1217267615601973, max values: 3.132053530264631, median values: 0.3342631493054909, and quantile values: 0.25 -0.276565\n0.50 0.334263\n0.75 0.887116\nName: 9075, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06765926243496519, std values: 0.7602339511355966, min values: -2.419659473655063, max values: 4.0, median values: 0.070283068444322, and quantile values: 0.25 -0.434326\n0.50 0.070283\n0.75 0.510846\nName: 9076, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1642599445807027, std values: 1.1364633323994513, min values: -3.0148736195915964, max values: 3.8226908388056136, median values: -0.0300774641940955, and quantile values: 0.25 -0.731040\n0.50 -0.030077\n0.75 0.570795\nName: 9077, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04699802798247514, std values: 0.782092670608982, min values: -2.525881048269423, max values: 3.250922035035844, median values: -0.0722985538651835, and quantile values: 0.25 -0.552127\n0.50 -0.072299\n0.75 0.384590\nName: 9078, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10294519504824155, std values: 0.7653865834082852, min values: -2.052224560448137, max values: 5.0, median values: 0.1647387222039672, and quantile values: 0.25 -0.416912\n0.50 0.164739\n0.75 0.635615\nName: 9079, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5494424265011587, std values: 0.9169169329510543, min values: -2.7688682710567485, max values: 3.569037956734876, median values: -0.6774660469478886, and quantile values: 0.25 -1.218811\n0.50 -0.677466\n0.75 0.041183\nName: 9080, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8150284981431363, std values: 0.8800500838854287, min values: -2.043287858674072, max values: 5.0, median values: 0.8801925275452636, and quantile values: 0.25 0.264839\n0.50 0.880193\n0.75 1.388499\nName: 9081, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2708830789297873, std values: 0.8552923916333174, min values: -2.196708653609315, max values: 6.0, median values: 0.3037961048572632, and quantile values: 0.25 -0.322336\n0.50 0.303796\n0.75 0.829845\nName: 9082, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21776523484397292, std values: 0.801090060271252, min values: -2.4564928597243227, max values: 4.0, median values: 0.2732764219870236, and quantile values: 0.25 -0.323641\n0.50 0.273276\n0.75 0.745288\nName: 9083, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.002528507401359917, std values: 0.8348865966667942, min values: -1.967253160501497, max values: 3.197902420311553, median values: -0.0287908034440343, and quantile values: 0.25 -0.577582\n0.50 -0.028791\n0.75 0.488241\nName: 9084, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2346675695373671, std values: 0.7766666150940291, min values: -2.5689076212724418, max values: 5.0, median values: 0.2752326183259088, and quantile values: 0.25 -0.280029\n0.50 0.275233\n0.75 0.760362\nName: 9085, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3238154544463481, std values: 0.8638502153713883, min values: -2.169311742921253, max values: 6.0, median values: 0.4217117875983666, and quantile values: 0.25 -0.300310\n0.50 0.421712\n0.75 0.960326\nName: 9086, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0539081303159425, std values: 1.2527876067605779, min values: -3.242093130849769, max values: 3.250922035035844, median values: -1.626077350940001, and quantile values: 0.25 -2.136874\n0.50 -1.626077\n0.75 0.062720\nName: 9087, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6987217750909597, std values: 1.0551016338996977, min values: -2.5682675825126706, max values: 5.0, median values: 0.7348885667344311, and quantile values: 0.25 -0.100384\n0.50 0.734889\n0.75 1.559260\nName: 9088, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06986900241764184, std values: 0.7711069770318296, min values: -1.9589311318217832, max values: 5.0, median values: -0.0221237008183687, and quantile values: 0.25 -0.440828\n0.50 -0.022124\n0.75 0.532129\nName: 9089, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08065284023465047, std values: 0.8968571924619998, min values: -2.6404955031131814, max values: 5.0, median values: 0.1196866533968465, and quantile values: 0.25 -0.463782\n0.50 0.119687\n0.75 0.629862\nName: 9090, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5176482346478233, std values: 1.1993035215648764, min values: -2.4176069991382847, max values: 6.0, median values: 0.3346597273545987, and quantile values: 0.25 -0.430999\n0.50 0.334660\n0.75 1.365204\nName: 9091, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.157774267684817, std values: 0.9222877728499189, min values: -2.3545454696846706, max values: 6.0, median values: -0.2100623824842547, and quantile values: 0.25 -0.825883\n0.50 -0.210062\n0.75 0.437237\nName: 9092, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17924978030710387, std values: 0.7811519598238217, min values: -2.226424194672579, max values: 4.0, median values: 0.2065163339055329, and quantile values: 0.25 -0.325993\n0.50 0.206516\n0.75 0.679754\nName: 9093, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14525376848764973, std values: 0.7350590632898093, min values: -2.2012167772695554, max values: 3.110498035652072, median values: -0.1427393118982639, and quantile values: 0.25 -0.629399\n0.50 -0.142739\n0.75 0.301003\nName: 9094, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31755289328072406, std values: 0.7794397548404337, min values: -2.73836943861057, max values: 3.1175233493066874, median values: 0.3604329341662791, and quantile values: 0.25 -0.163204\n0.50 0.360433\n0.75 0.787691\nName: 9095, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1727448213054698, std values: 0.9031130042077892, min values: -2.1057850514779166, max values: 6.0, median values: 0.2296017432500344, and quantile values: 0.25 -0.457994\n0.50 0.229602\n0.75 0.798893\nName: 9096, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.046412799965812476, std values: 1.122025576621451, min values: -2.6652153608723106, max values: 5.0, median values: 0.2329759966052059, and quantile values: 0.25 -0.692086\n0.50 0.232976\n0.75 0.852876\nName: 9097, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08666071082148696, std values: 0.935436235936596, min values: -2.815821936576896, max values: 3.306454397423372, median values: 0.1270455169577697, and quantile values: 0.25 -0.385083\n0.50 0.127046\n0.75 0.683645\nName: 9098, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08269097806589923, std values: 0.7538612623897549, min values: -2.8889090019311845, max values: 5.0, median values: 0.0337696151170531, and quantile values: 0.25 -0.401544\n0.50 0.033770\n0.75 0.535206\nName: 9099, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3847636278624928, std values: 1.1524561984701107, min values: -2.7510671817729784, max values: 6.0, median values: -0.2858525694133423, and quantile values: 0.25 -1.368935\n0.50 -0.285853\n0.75 0.449989\nName: 9100, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09560591883969123, std values: 0.8855271000006284, min values: -2.4536054974529624, max values: 6.0, median values: -0.2148000043026652, and quantile values: 0.25 -0.788207\n0.50 -0.214800\n0.75 0.486863\nName: 9101, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40095748367972855, std values: 0.9551450622147695, min values: -3.24173864501462, max values: 3.5581019918925243, median values: -0.3742504753432926, and quantile values: 0.25 -0.991914\n0.50 -0.374250\n0.75 0.193539\nName: 9102, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.013708213396962017, std values: 0.9112340266424453, min values: -2.6466193392086392, max values: 4.0, median values: 0.1141500151151482, and quantile values: 0.25 -0.590286\n0.50 0.114150\n0.75 0.650686\nName: 9103, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6255581815562883, std values: 1.034413621155504, min values: -3.00972886875607, max values: 3.02009942896863, median values: -0.5974761601718613, and quantile values: 0.25 -1.267009\n0.50 -0.597476\n0.75 0.009998\nName: 9104, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18263409565593128, std values: 0.9332988854964867, min values: -2.8998169811239416, max values: 3.2701555622463814, median values: 0.229472839655067, and quantile values: 0.25 -0.524085\n0.50 0.229473\n0.75 0.920315\nName: 9105, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36079070766331317, std values: 0.8348038924297799, min values: -2.098757565199457, max values: 5.0, median values: -0.4072634333124687, and quantile values: 0.25 -0.961301\n0.50 -0.407263\n0.75 0.121067\nName: 9106, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5446956625722944, std values: 0.9136841998092983, min values: -2.684072796644972, max values: 6.0, median values: -0.596657026073924, and quantile values: 0.25 -1.181230\n0.50 -0.596657\n0.75 0.005838\nName: 9107, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.023897896876355577, std values: 0.8395823620288383, min values: -2.589966702820638, max values: 6.0, median values: 0.0072704426988673, and quantile values: 0.25 -0.632484\n0.50 0.007270\n0.75 0.543710\nName: 9108, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15990304484432788, std values: 0.7827440461353324, min values: -2.271143658239337, max values: 6.0, median values: 0.166443198659988, and quantile values: 0.25 -0.338536\n0.50 0.166443\n0.75 0.648881\nName: 9109, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1141831280765961, std values: 1.0433669102342886, min values: -2.9029979285382743, max values: 3.0, median values: 0.0685991149740092, and quantile values: 0.25 -0.620149\n0.50 0.068599\n0.75 0.572070\nName: 9110, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02524708717407148, std values: 1.2718838080810413, min values: -2.916688926075616, max values: 6.0, median values: 0.3025850506722244, and quantile values: 0.25 -0.914842\n0.50 0.302585\n0.75 0.915223\nName: 9111, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10974763583087603, std values: 0.8384617087553913, min values: -2.6404955031131814, max values: 6.0, median values: 0.0667697851701758, and quantile values: 0.25 -0.461684\n0.50 0.066770\n0.75 0.601266\nName: 9112, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17058092256237323, std values: 0.7490838708477326, min values: -2.0720360108781377, max values: 5.0, median values: -0.2044355362620597, and quantile values: 0.25 -0.689685\n0.50 -0.204436\n0.75 0.273368\nName: 9113, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18732830454170993, std values: 0.9145050128650999, min values: -2.066019572692439, max values: 4.0, median values: -0.2854751263320649, and quantile values: 0.25 -0.864285\n0.50 -0.285475\n0.75 0.364109\nName: 9114, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.048953644042920706, std values: 0.7947596339663586, min values: -2.4564928597243227, max values: 4.0, median values: 0.0802530026599105, and quantile values: 0.25 -0.469217\n0.50 0.080253\n0.75 0.558714\nName: 9115, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27298738363127484, std values: 0.7834496175723422, min values: -2.981718296512785, max values: 5.0, median values: 0.259629182478273, and quantile values: 0.25 -0.238298\n0.50 0.259629\n0.75 0.808031\nName: 9116, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16146477715631904, std values: 0.8017813578204864, min values: -2.264034258932616, max values: 3.397048482165858, median values: -0.1683606385461787, and quantile values: 0.25 -0.713446\n0.50 -0.168361\n0.75 0.356204\nName: 9117, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05903600258761773, std values: 0.8283224968322901, min values: -2.862971749830789, max values: 3.784832159836258, median values: -0.1282130784646507, and quantile values: 0.25 -0.624967\n0.50 -0.128213\n0.75 0.397346\nName: 9118, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08707398742342908, std values: 0.8393018715978953, min values: -2.5682675825126706, max values: 5.0, median values: -0.1307426327408509, and quantile values: 0.25 -0.640104\n0.50 -0.130743\n0.75 0.420188\nName: 9119, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.825359559238667, std values: 0.9665474138518592, min values: -2.3922473154067863, max values: 5.0, median values: 0.9196273608440698, and quantile values: 0.25 0.184829\n0.50 0.919627\n0.75 1.507832\nName: 9120, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43016473141333206, std values: 0.7823374215149994, min values: -2.2477784840641744, max values: 4.0, median values: 0.4936594594437378, and quantile values: 0.25 -0.048929\n0.50 0.493659\n0.75 0.945320\nName: 9121, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20345851878211513, std values: 0.8853292954720328, min values: -2.267175988438518, max values: 5.0, median values: -0.3295380137675904, and quantile values: 0.25 -0.882877\n0.50 -0.329538\n0.75 0.375196\nName: 9122, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42382668996172346, std values: 0.9408121711640172, min values: -2.6660404517971856, max values: 4.0, median values: -0.4654472642259819, and quantile values: 0.25 -1.051919\n0.50 -0.465447\n0.75 0.151269\nName: 9123, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26859662435029574, std values: 0.8571550070481324, min values: -2.5201815750705507, max values: 4.278004674434932, median values: -0.3421712875252282, and quantile values: 0.25 -0.865005\n0.50 -0.342171\n0.75 0.200415\nName: 9124, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06338464684398895, std values: 0.752504207698661, min values: -2.057713263041302, max values: 5.0, median values: -0.0168521993113961, and quantile values: 0.25 -0.438324\n0.50 -0.016852\n0.75 0.516423\nName: 9125, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.00022719054661348256, std values: 0.9266455607951051, min values: -2.6603025395856053, max values: 5.0, median values: -0.0444001833185909, and quantile values: 0.25 -0.558538\n0.50 -0.044400\n0.75 0.540521\nName: 9126, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4378420148462611, std values: 0.9788139050441809, min values: -2.745904427753044, max values: 5.0, median values: 0.4980688592725573, and quantile values: 0.25 -0.269676\n0.50 0.498069\n0.75 1.230581\nName: 9127, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16612736871190875, std values: 0.830747155658558, min values: -2.1017566422541964, max values: 6.0, median values: 0.2142309620293474, and quantile values: 0.25 -0.400775\n0.50 0.214231\n0.75 0.751932\nName: 9128, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42447851483605165, std values: 0.9320010080975245, min values: -2.7871422803648627, max values: 3.2328207660681025, median values: 0.5268535789354046, and quantile values: 0.25 -0.155394\n0.50 0.526854\n0.75 1.043728\nName: 9129, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19623042150917555, std values: 0.8518860636534942, min values: -2.0644119749172245, max values: 5.0, median values: 0.2189391754004558, and quantile values: 0.25 -0.398369\n0.50 0.218939\n0.75 0.750083\nName: 9130, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4090592362612648, std values: 0.9532917235757561, min values: -2.5961021427111413, max values: 3.670892362631932, median values: 0.457507669517317, and quantile values: 0.25 -0.220378\n0.50 0.457508\n0.75 1.125644\nName: 9131, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19528068510995159, std values: 0.7038472578134397, min values: -2.4176069991382847, max values: 6.0, median values: 0.1955141301040128, and quantile values: 0.25 -0.259722\n0.50 0.195514\n0.75 0.615800\nName: 9132, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16161593080876685, std values: 0.9227291106354442, min values: -2.6603025395856053, max values: 5.0, median values: -0.1359662705372958, and quantile values: 0.25 -0.793346\n0.50 -0.135966\n0.75 0.436445\nName: 9133, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21971438330807036, std values: 0.9324908681165219, min values: -2.525881048269423, max values: 3.3483277116524426, median values: -0.3279217510883965, and quantile values: 0.25 -0.928025\n0.50 -0.327922\n0.75 0.382149\nName: 9134, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21978764438165194, std values: 0.930921626007995, min values: -2.119118875804272, max values: 3.047545592545638, median values: -0.2757726895453187, and quantile values: 0.25 -0.982680\n0.50 -0.275773\n0.75 0.431543\nName: 9135, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16866653160045947, std values: 0.9731795316415817, min values: -2.9898739724800576, max values: 3.397048482165858, median values: -0.2927777251887707, and quantile values: 0.25 -0.912213\n0.50 -0.292778\n0.75 0.480499\nName: 9136, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6135393716151761, std values: 1.005495568172747, min values: -2.016491303607746, max values: 3.2696814875916886, median values: 0.6528312348728386, and quantile values: 0.25 -0.157942\n0.50 0.652831\n0.75 1.440021\nName: 9137, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49644469813287123, std values: 0.8851559608042873, min values: -2.1067975134574946, max values: 4.243835016543704, median values: 0.537464146135049, and quantile values: 0.25 -0.145390\n0.50 0.537464\n0.75 1.198567\nName: 9138, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2769367094467761, std values: 0.8944306754637018, min values: -2.158745697961692, max values: 3.0, median values: -0.3610207471029987, and quantile values: 0.25 -0.995632\n0.50 -0.361021\n0.75 0.313168\nName: 9139, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05496323765396116, std values: 0.9813476271966112, min values: -2.5774281843044924, max values: 6.0, median values: 0.0337801301840776, and quantile values: 0.25 -0.756423\n0.50 0.033780\n0.75 0.790143\nName: 9140, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35892007860652936, std values: 0.9494308695289945, min values: -2.92272757463548, max values: 6.0, median values: 0.4679508738129169, and quantile values: 0.25 -0.223879\n0.50 0.467951\n0.75 1.042389\nName: 9141, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.395928540839902, std values: 0.9886008572534102, min values: -2.607565022042742, max values: 4.026668017837955, median values: 0.5745259381449688, and quantile values: 0.25 -0.178293\n0.50 0.574526\n0.75 1.098464\nName: 9142, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.2300164595589689, std values: 1.1570024738132474, min values: -3.3364384128287203, max values: 2.8567018992815587, median values: -1.6971520513572236, and quantile values: 0.25 -2.067418\n0.50 -1.697152\n0.75 -0.296105\nName: 9143, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.516249207791191, std values: 0.9368881693924112, min values: -2.2272703849889663, max values: 3.2936960268109283, median values: 0.6159145281066869, and quantile values: 0.25 -0.131465\n0.50 0.615915\n0.75 1.195982\nName: 9144, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6347719185564733, std values: 0.9600973660790535, min values: -2.061237435183259, max values: 4.278004674434932, median values: 0.581084501838593, and quantile values: 0.25 0.028034\n0.50 0.581085\n0.75 1.157536\nName: 9145, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7260010428799787, std values: 1.0706457591650083, min values: -2.620939317041317, max values: 3.496479817235339, median values: 0.8565093444713966, and quantile values: 0.25 -0.046222\n0.50 0.856509\n0.75 1.526925\nName: 9146, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37113101553106026, std values: 1.0056383229149466, min values: -2.5743883495350026, max values: 5.0, median values: -0.4372106994085409, and quantile values: 0.25 -1.171410\n0.50 -0.437211\n0.75 0.335138\nName: 9147, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5248062746990096, std values: 0.9030768160338638, min values: -2.5293911731823453, max values: 3.405671179043623, median values: -0.6466751142617146, and quantile values: 0.25 -1.119644\n0.50 -0.646675\n0.75 0.008813\nName: 9148, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2316223656492271, std values: 0.9572974816325719, min values: -2.033611600779362, max values: 3.3636961113187773, median values: -0.2797520667762861, and quantile values: 0.25 -1.033433\n0.50 -0.279752\n0.75 0.452221\nName: 9149, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7088034845167491, std values: 1.0971630479100438, min values: -2.5201815750705507, max values: 4.0, median values: 0.7899551796941602, and quantile values: 0.25 -0.085092\n0.50 0.789955\n0.75 1.558622\nName: 9150, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4910627978032541, std values: 0.8828852749885274, min values: -2.632854336056873, max values: 3.0, median values: 0.5696499806504103, and quantile values: 0.25 -0.098004\n0.50 0.569650\n0.75 1.193948\nName: 9151, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09325921054962277, std values: 0.8129389865235472, min values: -2.1301704007793827, max values: 5.0, median values: 0.0486536153128405, and quantile values: 0.25 -0.441115\n0.50 0.048654\n0.75 0.616829\nName: 9152, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.033978284097932965, std values: 0.8401648721559397, min values: -2.6635706018350787, max values: 3.0, median values: -0.05483588514795, and quantile values: 0.25 -0.585904\n0.50 -0.054836\n0.75 0.612029\nName: 9153, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.011148185322950786, std values: 1.0097482218409584, min values: -2.510124273981921, max values: 3.5581019918925243, median values: -0.0764132734166426, and quantile values: 0.25 -0.733596\n0.50 -0.076413\n0.75 0.717537\nName: 9154, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09235241079092431, std values: 1.0207078838251074, min values: -2.1296382068987767, max values: 5.0, median values: -0.1877027859330086, and quantile values: 0.25 -0.885217\n0.50 -0.187703\n0.75 0.575553\nName: 9155, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5346165540537888, std values: 1.0704862845747711, min values: -1.989943634409112, max values: 3.518664430018096, median values: 0.5337450905168479, and quantile values: 0.25 -0.293024\n0.50 0.533745\n0.75 1.433916\nName: 9156, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5667524190928968, std values: 0.8668520736377212, min values: -2.783691185534105, max values: 3.390469008396469, median values: -0.6836802397773114, and quantile values: 0.25 -1.272898\n0.50 -0.683680\n0.75 0.008414\nName: 9157, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03909841702723266, std values: 0.8021962222486191, min values: -2.050447226825624, max values: 5.0, median values: -0.0085097504409236, and quantile values: 0.25 -0.483716\n0.50 -0.008510\n0.75 0.492652\nName: 9158, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10188671405341551, std values: 0.8640316040825453, min values: -2.5743883495350026, max values: 5.0, median values: -0.0593574435362118, and quantile values: 0.25 -0.661786\n0.50 -0.059357\n0.75 0.462578\nName: 9159, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3056121938557971, std values: 0.907598627186784, min values: -2.4788285026914285, max values: 4.0, median values: -0.4374187479291828, and quantile values: 0.25 -0.998702\n0.50 -0.437419\n0.75 0.290872\nName: 9160, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21679643537156779, std values: 0.791600793882313, min values: -2.4737574649270093, max values: 3.2328207660681025, median values: 0.2926537040520148, and quantile values: 0.25 -0.317379\n0.50 0.292654\n0.75 0.760646\nName: 9161, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.48789613540709065, std values: 0.9686332082802265, min values: -2.960014365184806, max values: 6.0, median values: -0.3782409693738802, and quantile values: 0.25 -1.009029\n0.50 -0.378241\n0.75 0.091048\nName: 9162, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12387757968938966, std values: 0.9595990414728002, min values: -2.1301704007793827, max values: 6.0, median values: -0.1124592989170563, and quantile values: 0.25 -0.873443\n0.50 -0.112459\n0.75 0.541478\nName: 9163, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4083934210255316, std values: 0.9134023960583748, min values: -2.087432639025188, max values: 4.0, median values: 0.42197012531017, and quantile values: 0.25 -0.256819\n0.50 0.421970\n0.75 1.097046\nName: 9164, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03811993590416377, std values: 0.8166656331155441, min values: -2.799990485600992, max values: 5.0, median values: 0.0274050464726594, and quantile values: 0.25 -0.613973\n0.50 0.027405\n0.75 0.521149\nName: 9165, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1235624081790705, std values: 0.8073982122947605, min values: -2.04551391420568, max values: 4.278004674434932, median values: 0.1750766032817998, and quantile values: 0.25 -0.412430\n0.50 0.175077\n0.75 0.682001\nName: 9166, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14762198915886662, std values: 0.824445071999464, min values: -1.9683985994558373, max values: 5.0, median values: 0.0665092277172774, and quantile values: 0.25 -0.457658\n0.50 0.066509\n0.75 0.701486\nName: 9167, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0727482172449782, std values: 0.7118613535962286, min values: -2.419133598913117, max values: 3.518664430018096, median values: 0.0370673896321109, and quantile values: 0.25 -0.367392\n0.50 0.037067\n0.75 0.500559\nName: 9168, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2083724189234994, std values: 0.915243675500427, min values: -2.0549499710103847, max values: 6.0, median values: 0.1110737058841919, and quantile values: 0.25 -0.405775\n0.50 0.111074\n0.75 0.801138\nName: 9169, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3042005645902415, std values: 0.9605065784795855, min values: -2.558791007225312, max values: 3.0, median values: -0.236207083412624, and quantile values: 0.25 -0.888832\n0.50 -0.236207\n0.75 0.296680\nName: 9170, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1591858637021685, std values: 0.8249287604834878, min values: -1.9466596427739613, max values: 6.0, median values: 0.163089146404433, and quantile values: 0.25 -0.421740\n0.50 0.163089\n0.75 0.663831\nName: 9171, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15103935722402148, std values: 0.8921947623778095, min values: -2.1775880058603043, max values: 2.715682511788879, median values: -0.2586759589705604, and quantile values: 0.25 -0.867490\n0.50 -0.258676\n0.75 0.467189\nName: 9172, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12568686505363316, std values: 0.8381338435252774, min values: -2.673549169958716, max values: 6.0, median values: -0.0700152953282097, and quantile values: 0.25 -0.571216\n0.50 -0.070015\n0.75 0.343527\nName: 9173, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10449200656915737, std values: 0.8146810066833041, min values: -1.9302613833454103, max values: 6.0, median values: -0.1415552277681851, and quantile values: 0.25 -0.689446\n0.50 -0.141555\n0.75 0.404046\nName: 9174, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32345427015250156, std values: 1.124652186235323, min values: -2.9029979285382743, max values: 4.243835016543704, median values: -0.1870652206204849, and quantile values: 0.25 -0.983523\n0.50 -0.187065\n0.75 0.381538\nName: 9175, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49879408656567575, std values: 0.9840913479376688, min values: -2.8663054413554843, max values: 6.0, median values: -0.5644856798621418, and quantile values: 0.25 -1.167710\n0.50 -0.564486\n0.75 0.168912\nName: 9176, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2110557878262174, std values: 1.2012660868646152, min values: -2.8563982925340614, max values: 4.0, median values: -0.0508360721124226, and quantile values: 0.25 -1.048958\n0.50 -0.050836\n0.75 0.605863\nName: 9177, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3031129663804714, std values: 1.1117952339563373, min values: -2.5879430435308, max values: 3.598076523509904, median values: 0.2655374376778458, and quantile values: 0.25 -0.528956\n0.50 0.265537\n0.75 1.105987\nName: 9178, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13274630943389076, std values: 0.8054748446506689, min values: -2.45312625352624, max values: 3.280245386470253, median values: -0.1956104933023055, and quantile values: 0.25 -0.693768\n0.50 -0.195610\n0.75 0.375432\nName: 9179, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16651927086729268, std values: 1.1237630119626738, min values: -2.6404955031131814, max values: 5.0, median values: 0.0614410774618402, and quantile values: 0.25 -0.670859\n0.50 0.061441\n0.75 1.123933\nName: 9180, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20249381492683785, std values: 0.8621726047580092, min values: -2.862971749830789, max values: 3.2071942083719924, median values: -0.2277202018651433, and quantile values: 0.25 -0.920426\n0.50 -0.227720\n0.75 0.399031\nName: 9181, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6022605966746156, std values: 0.7623993012380365, min values: -2.27710446206836, max values: 3.0, median values: 0.672209662182982, and quantile values: 0.25 0.106143\n0.50 0.672210\n0.75 1.108937\nName: 9182, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23372606987875158, std values: 0.8948840239916362, min values: -2.2398683045325223, max values: 3.1841025362512254, median values: 0.2588678554334034, and quantile values: 0.25 -0.405810\n0.50 0.258868\n0.75 0.890959\nName: 9183, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2234805306654037, std values: 0.787579760555622, min values: -2.148634675597145, max values: 3.405671179043623, median values: 0.2026917635000342, and quantile values: 0.25 -0.272162\n0.50 0.202692\n0.75 0.698050\nName: 9184, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4747970200384844, std values: 0.8151007002077678, min values: -2.169311742921253, max values: 6.0, median values: 0.571040423514244, and quantile values: 0.25 -0.080207\n0.50 0.571040\n0.75 1.074111\nName: 9185, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38763213866473073, std values: 0.9270037561052945, min values: -2.2784747359552378, max values: 6.0, median values: -0.5618716482108238, and quantile values: 0.25 -1.102230\n0.50 -0.561872\n0.75 0.249498\nName: 9186, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01768132156010893, std values: 0.7587686427272697, min values: -2.27710446206836, max values: 3.3760121766849016, median values: -0.0553092926176518, and quantile values: 0.25 -0.522081\n0.50 -0.055309\n0.75 0.513298\nName: 9187, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2803982182182547, std values: 0.8982291182573237, min values: -2.096768618411309, max values: 6.0, median values: -0.3132115109520045, and quantile values: 0.25 -0.991581\n0.50 -0.313212\n0.75 0.339819\nName: 9188, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28415447843640124, std values: 0.8831783849034653, min values: -2.64479559868397, max values: 3.224152805256112, median values: -0.2656230212429005, and quantile values: 0.25 -0.920258\n0.50 -0.265623\n0.75 0.332505\nName: 9189, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08877050062570259, std values: 1.0552673077054795, min values: -2.842989614395848, max values: 5.0, median values: 0.0745886969440505, and quantile values: 0.25 -0.661684\n0.50 0.074589\n0.75 0.926543\nName: 9190, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20851327522434482, std values: 0.9187797130523803, min values: -2.688157591415518, max values: 3.155170554159904, median values: -0.3146580297989046, and quantile values: 0.25 -0.857373\n0.50 -0.314658\n0.75 0.398763\nName: 9191, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27185192076700415, std values: 0.9453316928469465, min values: -2.525881048269423, max values: 3.627976272701048, median values: -0.336524340287935, and quantile values: 0.25 -0.921310\n0.50 -0.336524\n0.75 0.339742\nName: 9192, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21701208412169581, std values: 0.7962367431949263, min values: -2.2389479100077128, max values: 5.0, median values: -0.2317133774890533, and quantile values: 0.25 -0.807573\n0.50 -0.231713\n0.75 0.329269\nName: 9193, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5060406801860217, std values: 0.9277567493198317, min values: -2.807209974165368, max values: 6.0, median values: 0.6247657576631723, and quantile values: 0.25 0.040659\n0.50 0.624766\n0.75 1.075387\nName: 9194, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08391274461712665, std values: 1.104914055616698, min values: -3.24173864501462, max values: 3.455472209455805, median values: 0.1351029191694416, and quantile values: 0.25 -0.772988\n0.50 0.135103\n0.75 0.911879\nName: 9195, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.025575773759340784, std values: 0.807072124173464, min values: -2.8843374390620142, max values: 6.0, median values: -0.0963412600355069, and quantile values: 0.25 -0.557627\n0.50 -0.096341\n0.75 0.468725\nName: 9196, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2294735684201707, std values: 0.871539301459526, min values: -2.730840794324401, max values: 3.5581019918925243, median values: 0.2673615249370989, and quantile values: 0.25 -0.343352\n0.50 0.267362\n0.75 0.829045\nName: 9197, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14964059087538722, std values: 1.1072958760458183, min values: -2.684072796644972, max values: 6.0, median values: 0.363273669944212, and quantile values: 0.25 -0.465210\n0.50 0.363274\n0.75 0.928867\nName: 9198, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08571335788658307, std values: 0.7624674560176522, min values: -2.5689076212724418, max values: 5.0, median values: 0.0614173983222718, and quantile values: 0.25 -0.408802\n0.50 0.061417\n0.75 0.560872\nName: 9199, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13400261177225067, std values: 1.0143871241118163, min values: -2.982771139679002, max values: 4.0, median values: -0.0396945718398669, and quantile values: 0.25 -0.871630\n0.50 -0.039695\n0.75 0.659037\nName: 9200, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02188596346426351, std values: 0.7577776263061162, min values: -2.7648443048846945, max values: 3.349054967837474, median values: 0.018743259431902, and quantile values: 0.25 -0.529495\n0.50 0.018743\n0.75 0.442390\nName: 9201, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11355675932866473, std values: 0.7698374771895484, min values: -2.439930808627264, max values: 4.0, median values: 0.1309778013625432, and quantile values: 0.25 -0.384253\n0.50 0.130978\n0.75 0.594540\nName: 9202, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6022071029193351, std values: 0.9332515156933852, min values: -2.841647375415054, max values: 3.5581019918925243, median values: -0.7013211543340075, and quantile values: 0.25 -1.259028\n0.50 -0.701321\n0.75 -0.093633\nName: 9203, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1901834514837496, std values: 0.8951070731039438, min values: -2.0933077918561027, max values: 3.867701659180865, median values: -0.2596653130319984, and quantile values: 0.25 -0.887598\n0.50 -0.259665\n0.75 0.429066\nName: 9204, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19527328911998784, std values: 0.8263692729093752, min values: -2.6850842010492566, max values: 6.0, median values: 0.0781679338035218, and quantile values: 0.25 -0.381080\n0.50 0.078168\n0.75 0.726062\nName: 9205, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04951471230014422, std values: 0.8205344450137356, min values: -2.1098479262714123, max values: 6.0, median values: 0.0831710720905241, and quantile values: 0.25 -0.493180\n0.50 0.083171\n0.75 0.553821\nName: 9206, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3052275089020874, std values: 1.4671377297788095, min values: -2.64479559868397, max values: 6.0, median values: 0.4341441750928978, and quantile values: 0.25 -0.841268\n0.50 0.434144\n0.75 1.451075\nName: 9207, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13287934821885336, std values: 0.8242740205081718, min values: -2.2423374092797945, max values: 3.319774799707247, median values: -0.1755086108954976, and quantile values: 0.25 -0.674683\n0.50 -0.175509\n0.75 0.342651\nName: 9208, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21330868413119114, std values: 0.9967823935301767, min values: -2.8350118695332047, max values: 5.0, median values: 0.2338260454447925, and quantile values: 0.25 -0.371694\n0.50 0.233826\n0.75 0.844879\nName: 9209, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0641591652247288, std values: 0.8883247028462069, min values: -2.6412681606926487, max values: 3.1290445144064547, median values: 0.0269091560046029, and quantile values: 0.25 -0.549275\n0.50 0.026909\n0.75 0.603251\nName: 9210, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16783792822769505, std values: 0.7389025813859696, min values: -2.0952823332519324, max values: 6.0, median values: 0.1756917132561233, and quantile values: 0.25 -0.291044\n0.50 0.175692\n0.75 0.632514\nName: 9211, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24669758380105597, std values: 0.9048289351317542, min values: -2.215291168881953, max values: 3.0089865423056903, median values: -0.3787941289156369, and quantile values: 0.25 -0.982080\n0.50 -0.378794\n0.75 0.386567\nName: 9212, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.315185218518369, std values: 0.8572398511318773, min values: -2.2398683045325223, max values: 3.0774992973297404, median values: 0.3845645391667657, and quantile values: 0.25 -0.271990\n0.50 0.384565\n0.75 0.938442\nName: 9213, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04622817291376285, std values: 0.9007497585916252, min values: -2.0763692711860644, max values: 4.0, median values: -0.1297144860618898, and quantile values: 0.25 -0.670588\n0.50 -0.129714\n0.75 0.526582\nName: 9214, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07779859679788158, std values: 0.9216144236389285, min values: -2.688157591415518, max values: 5.0, median values: -0.1505458338966321, and quantile values: 0.25 -0.676969\n0.50 -0.150546\n0.75 0.517779\nName: 9215, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.2041373829030666, std values: 1.15452490027923, min values: -2.727901130262228, max values: 4.0, median values: -1.698650509722466, and quantile values: 0.25 -2.142044\n0.50 -1.698651\n0.75 -0.274534\nName: 9216, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2645180467426006, std values: 0.9393492294064937, min values: -2.269277951676964, max values: 3.0, median values: -0.3742209384313998, and quantile values: 0.25 -0.969050\n0.50 -0.374221\n0.75 0.319379\nName: 9217, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4861441615942361, std values: 1.072214351224855, min values: -2.8297583842718432, max values: 5.0, median values: 0.516391228316754, and quantile values: 0.25 -0.244513\n0.50 0.516391\n0.75 1.372465\nName: 9218, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1755783349719022, std values: 1.1955124242833948, min values: -2.684072796644972, max values: 6.0, median values: 0.2595798632564644, and quantile values: 0.25 -0.680205\n0.50 0.259580\n0.75 1.114197\nName: 9219, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07403698493868262, std values: 0.8865643675382404, min values: -3.530441124712342, max values: 3.260388056018088, median values: 0.1016571882230655, and quantile values: 0.25 -0.463936\n0.50 0.101657\n0.75 0.631186\nName: 9220, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2487336442096624, std values: 1.0146216598528877, min values: -2.673549169958716, max values: 6.0, median values: -0.2513024677294784, and quantile values: 0.25 -1.004223\n0.50 -0.251302\n0.75 0.452187\nName: 9221, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24299402019697466, std values: 0.7906926423306299, min values: -2.5695487141177, max values: 4.0, median values: -0.3015962200350848, and quantile values: 0.25 -0.792664\n0.50 -0.301596\n0.75 0.236122\nName: 9222, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5390635232231943, std values: 0.8897718162096032, min values: -2.6635706018350787, max values: 3.197902420311553, median values: 0.6069554678683287, and quantile values: 0.25 -0.106699\n0.50 0.606955\n0.75 1.231022\nName: 9223, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.010616846040146476, std values: 0.8824348963766326, min values: -2.541693081833126, max values: 3.5021977227593246, median values: 0.0259772417599514, and quantile values: 0.25 -0.612889\n0.50 0.025977\n0.75 0.606457\nName: 9224, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5570859069325602, std values: 1.1350888645654762, min values: -2.873069976951463, max values: 3.336438412828754, median values: -0.5645703108486594, and quantile values: 0.25 -1.315084\n0.50 -0.564570\n0.75 0.229165\nName: 9225, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0028320724015793775, std values: 0.9093978674140182, min values: -2.733804248449497, max values: 3.5581019918925243, median values: 0.0036076578364434, and quantile values: 0.25 -0.528973\n0.50 0.003608\n0.75 0.523958\nName: 9226, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1973870977497206, std values: 0.9921363576258221, min values: -2.09776205448632, max values: 3.216771431244405, median values: 0.2197290489042775, and quantile values: 0.25 -0.549143\n0.50 0.219729\n0.75 0.872628\nName: 9227, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37466886426935947, std values: 1.0489105374216934, min values: -2.5293911731823453, max values: 4.243835016543704, median values: 0.5379920871784782, and quantile values: 0.25 -0.218986\n0.50 0.537992\n0.75 1.150223\nName: 9228, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01239779505075846, std values: 0.9432514549955748, min values: -2.4902145713898545, max values: 3.0, median values: 0.0110985710090491, and quantile values: 0.25 -0.614401\n0.50 0.011099\n0.75 0.639196\nName: 9229, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.349128074188061, std values: 0.8202698693173689, min values: -2.0884068356849723, max values: 6.0, median values: -0.4777829582537176, and quantile values: 0.25 -0.921268\n0.50 -0.477783\n0.75 0.129238\nName: 9230, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08325907393356563, std values: 0.9838190496999529, min values: -2.8246479422601736, max values: 5.0, median values: 0.0011841907383039, and quantile values: 0.25 -0.505092\n0.50 0.001184\n0.75 0.711009\nName: 9231, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.292165618001744, std values: 0.9245292549751193, min values: -2.6270253558526173, max values: 4.0, median values: -0.2751064530760259, and quantile values: 0.25 -0.889281\n0.50 -0.275106\n0.75 0.302181\nName: 9232, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.009731302146720704, std values: 0.7921987245907665, min values: -1.8536574806469168, max values: 3.3483277116524426, median values: -0.0707260882354319, and quantile values: 0.25 -0.528973\n0.50 -0.070726\n0.75 0.523002\nName: 9233, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03564823313472469, std values: 0.8615862596863257, min values: -2.919359491767569, max values: 6.0, median values: -0.1257168622631818, and quantile values: 0.25 -0.615354\n0.50 -0.125717\n0.75 0.506596\nName: 9234, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2895906612125936, std values: 1.0315493988866045, min values: -2.6603025395856053, max values: 5.0, median values: 0.3809638683431525, and quantile values: 0.25 -0.406314\n0.50 0.380964\n0.75 1.118516\nName: 9235, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36212405537100606, std values: 1.1215611901610334, min values: -2.2398683045325223, max values: 3.390469008396469, median values: 0.2469141870667674, and quantile values: 0.25 -0.526202\n0.50 0.246914\n0.75 1.296787\nName: 9236, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3650598949196179, std values: 0.7555867172386543, min values: -2.6115251494731915, max values: 3.0, median values: 0.3975701809608519, and quantile values: 0.25 -0.138491\n0.50 0.397570\n0.75 0.900254\nName: 9237, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4342751690543208, std values: 0.9998321513370034, min values: -2.14258071674473, max values: 5.0, median values: -0.5703733187852433, and quantile values: 0.25 -1.268330\n0.50 -0.570373\n0.75 0.247096\nName: 9238, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25324080901219703, std values: 0.9872863314867055, min values: -2.6117120822772133, max values: 5.0, median values: 0.2801207508471227, and quantile values: 0.25 -0.266480\n0.50 0.280121\n0.75 0.849852\nName: 9239, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42778685614280737, std values: 0.9996792454614424, min values: -2.769191083399913, max values: 3.0, median values: -0.3429721335133495, and quantile values: 0.25 -0.893783\n0.50 -0.342972\n0.75 0.177594\nName: 9240, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.213612129129351, std values: 0.8837164747131442, min values: -2.1238235090034925, max values: 5.0, median values: 0.3031548430026048, and quantile values: 0.25 -0.394889\n0.50 0.303155\n0.75 0.827679\nName: 9241, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.074774302696982, std values: 0.74036569085001, min values: -2.3344113078233786, max values: 3.3636961113187773, median values: -0.0033598025142496, and quantile values: 0.25 -0.436657\n0.50 -0.003360\n0.75 0.518617\nName: 9242, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3392110804384808, std values: 0.7670963576344604, min values: -2.1052796288777285, max values: 5.0, median values: 0.3566165738022495, and quantile values: 0.25 -0.128882\n0.50 0.356617\n0.75 0.822530\nName: 9243, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35637927967146266, std values: 0.8027928028771281, min values: -2.0563425919957576, max values: 3.4217036547572275, median values: -0.4668172986281754, and quantile values: 0.25 -0.980164\n0.50 -0.466817\n0.75 0.141617\nName: 9244, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23413521798121972, std values: 1.033347356117847, min values: -2.815821936576896, max values: 3.2071942083719924, median values: -0.289981531014347, and quantile values: 0.25 -0.844271\n0.50 -0.289982\n0.75 0.436535\nName: 9245, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3459532953744487, std values: 0.9198809620202114, min values: -2.2398683045325223, max values: 3.867701659180865, median values: 0.2800578895876782, and quantile values: 0.25 -0.359514\n0.50 0.280058\n0.75 0.998131\nName: 9246, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7129690826578218, std values: 1.1894787383103, min values: -2.815821936576896, max values: 3.496479817235339, median values: -0.5261076012583681, and quantile values: 0.25 -1.877167\n0.50 -0.526108\n0.75 0.191909\nName: 9247, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0630372266213662, std values: 0.9983974102976453, min values: -3.1386665508340674, max values: 3.5908526919299577, median values: 0.1213878100194953, and quantile values: 0.25 -0.617218\n0.50 0.121388\n0.75 0.821734\nName: 9248, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03638968707478086, std values: 1.0657614205377977, min values: -2.8834699678265463, max values: 5.0, median values: 0.0060862257603073, and quantile values: 0.25 -0.814666\n0.50 0.006086\n0.75 0.825523\nName: 9249, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2673826022082219, std values: 0.8346577242412836, min values: -2.730840794324401, max values: 3.0, median values: 0.263056357420759, and quantile values: 0.25 -0.244456\n0.50 0.263056\n0.75 0.799023\nName: 9250, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15511123967507146, std values: 1.117945293264191, min values: -3.101800431129944, max values: 6.0, median values: -0.0074213025239671, and quantile values: 0.25 -0.683402\n0.50 -0.007421\n0.75 0.538183\nName: 9251, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21409692629150756, std values: 0.8668840648188217, min values: -1.9488996912269427, max values: 5.0, median values: 0.1336596410500219, and quantile values: 0.25 -0.410604\n0.50 0.133660\n0.75 0.807802\nName: 9252, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.017568083275976795, std values: 0.9492451610149217, min values: -2.841647375415054, max values: 5.0, median values: 0.0364997776485937, and quantile values: 0.25 -0.569207\n0.50 0.036500\n0.75 0.590417\nName: 9253, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4070449416886021, std values: 0.7935729436771726, min values: -2.7688682710567485, max values: 2.8252593227772445, median values: 0.4881170564574128, and quantile values: 0.25 -0.085614\n0.50 0.488117\n0.75 0.943004\nName: 9254, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0667976931297, std values: 0.9309555762973878, min values: -2.1587143377696023, max values: 3.247416277295021, median values: 0.0956052083393561, and quantile values: 0.25 -0.626005\n0.50 0.095605\n0.75 0.768846\nName: 9255, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14533187644736553, std values: 0.9493612962566923, min values: -2.807209974165368, max values: 6.0, median values: -0.2118927237579938, and quantile values: 0.25 -0.778270\n0.50 -0.211893\n0.75 0.500783\nName: 9256, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42175824003799556, std values: 1.0930197616499893, min values: -2.860922438481449, max values: 2.659489945633004, median values: -0.2990248553129929, and quantile values: 0.25 -1.410268\n0.50 -0.299025\n0.75 0.459188\nName: 9257, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06575714496730581, std values: 1.0860890590593488, min values: -2.1765768535583003, max values: 5.0, median values: -0.1023503793030551, and quantile values: 0.25 -0.945810\n0.50 -0.102350\n0.75 0.690515\nName: 9258, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11419891492415783, std values: 0.8830576612127098, min values: -2.58513369695146, max values: 3.721862465295849, median values: 0.0244405106095051, and quantile values: 0.25 -0.523169\n0.50 0.024441\n0.75 0.670859\nName: 9259, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2965119517770065, std values: 0.8950665964343392, min values: -2.1296382068987767, max values: 3.036311757241655, median values: 0.346534889870852, and quantile values: 0.25 -0.355442\n0.50 0.346535\n0.75 0.974127\nName: 9260, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1082299387772655, std values: 0.9024794025413466, min values: -2.1154918763173005, max values: 5.0, median values: -0.0963713259384857, and quantile values: 0.25 -0.805348\n0.50 -0.096371\n0.75 0.533981\nName: 9261, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4584458451801602, std values: 0.8749933648613172, min values: -2.3922473154067863, max values: 5.0, median values: 0.5487031451587453, and quantile values: 0.25 -0.132326\n0.50 0.548703\n0.75 1.043402\nName: 9262, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05726783643817442, std values: 1.0215886322814351, min values: -2.558791007225312, max values: 3.197902420311553, median values: -0.082341026963042, and quantile values: 0.25 -0.868485\n0.50 -0.082341\n0.75 0.679408\nName: 9263, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.028599548697905004, std values: 0.8881682256805224, min values: -2.730840794324401, max values: 3.438667023696733, median values: -0.087549031944137, and quantile values: 0.25 -0.595161\n0.50 -0.087549\n0.75 0.543839\nName: 9264, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11235029253773612, std values: 0.944464351610334, min values: -2.862971749830789, max values: 3.9048392686725855, median values: 0.0908577149600369, and quantile values: 0.25 -0.462648\n0.50 0.090858\n0.75 0.722100\nName: 9265, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42639315446891296, std values: 0.8363732428725257, min values: -2.3184884946917497, max values: 6.0, median values: -0.591666123293142, and quantile values: 0.25 -1.038040\n0.50 -0.591666\n0.75 0.066983\nName: 9266, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07363755062235083, std values: 0.9905308720789424, min values: -2.6270253558526173, max values: 4.0, median values: 0.1973935411265479, and quantile values: 0.25 -0.531067\n0.50 0.197394\n0.75 0.742274\nName: 9267, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0710502297806146, std values: 0.8489531911236982, min values: -1.9683985994558373, max values: 6.0, median values: 0.0300676195635938, and quantile values: 0.25 -0.510550\n0.50 0.030068\n0.75 0.584446\nName: 9268, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12721949858521253, std values: 1.0062766803569094, min values: -3.2119459948042475, max values: 3.1888787873512885, median values: 0.1233533425918878, and quantile values: 0.25 -0.650953\n0.50 0.123353\n0.75 0.963705\nName: 9269, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13591809636340443, std values: 0.8689373188686241, min values: -2.6820581866633817, max values: 3.20751086257212, median values: 0.1161460348943627, and quantile values: 0.25 -0.364385\n0.50 0.116146\n0.75 0.684341\nName: 9270, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3822278260834653, std values: 0.9630768945237825, min values: -2.919359491767569, max values: 5.0, median values: 0.4639048936075461, and quantile values: 0.25 -0.273677\n0.50 0.463905\n0.75 1.046176\nName: 9271, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2554471597189267, std values: 1.0393186883903862, min values: -2.8297583842718432, max values: 5.0, median values: 0.4311805862633256, and quantile values: 0.25 -0.257046\n0.50 0.431181\n0.75 0.957226\nName: 9272, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10044319585120796, std values: 0.8357159909065517, min values: -2.580492024304656, max values: 3.0, median values: -0.1822959556609114, and quantile values: 0.25 -0.701920\n0.50 -0.182296\n0.75 0.428749\nName: 9273, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12908984272092666, std values: 1.1604951040458613, min values: -2.6652153608723106, max values: 5.0, median values: 0.2919639116969186, and quantile values: 0.25 -0.615820\n0.50 0.291964\n0.75 1.031339\nName: 9274, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7389165175402281, std values: 1.8204761676853505, min values: -2.9109251266226006, max values: 3.670892362631932, median values: -1.7073161855127896, and quantile values: 0.25 -2.249540\n0.50 -1.707316\n0.75 0.604242\nName: 9275, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2086379676079565, std values: 0.9753806174096549, min values: -2.605844844843939, max values: 4.0, median values: 0.3155841473159158, and quantile values: 0.25 -0.367466\n0.50 0.315584\n0.75 0.856231\nName: 9276, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24422247786517698, std values: 0.9786478564611213, min values: -2.2398683045325223, max values: 4.278004674434932, median values: 0.2216739771212523, and quantile values: 0.25 -0.416929\n0.50 0.221674\n0.75 0.810094\nName: 9277, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20958535231945621, std values: 0.9286939234554767, min values: -2.601639132009086, max values: 6.0, median values: 0.208429749000361, and quantile values: 0.25 -0.464457\n0.50 0.208430\n0.75 0.776268\nName: 9278, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2514616502312997, std values: 1.333091731681196, min values: -2.815821936576896, max values: 3.434669824302974, median values: 0.0309661490574586, and quantile values: 0.25 -1.047361\n0.50 0.030966\n0.75 0.657393\nName: 9279, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1271191648872418, std values: 1.0995202636534658, min values: -2.610097161345549, max values: 4.0, median values: -0.1085533880836289, and quantile values: 0.25 -0.711283\n0.50 -0.108553\n0.75 0.566734\nName: 9280, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1721612782216719, std values: 0.8341430852228212, min values: -2.662750916816848, max values: 5.0, median values: 0.1694862399953844, and quantile values: 0.25 -0.402569\n0.50 0.169486\n0.75 0.723235\nName: 9281, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.001962164877315391, std values: 0.8550146985042029, min values: -2.579723791499676, max values: 4.0, median values: -0.0030568685103333, and quantile values: 0.25 -0.584726\n0.50 -0.003057\n0.75 0.531936\nName: 9282, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15930507266806582, std values: 0.7851516865612403, min values: -2.078275132568711, max values: 5.0, median values: 0.0929226166448574, and quantile values: 0.25 -0.363256\n0.50 0.092923\n0.75 0.673142\nName: 9283, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28975786274394766, std values: 0.7603492393756317, min values: -2.783691185534105, max values: 3.709787027503053, median values: -0.3402279060072757, and quantile values: 0.25 -0.825523\n0.50 -0.340228\n0.75 0.169559\nName: 9284, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34733105516013946, std values: 0.8989775662304045, min values: -2.525881048269423, max values: 3.709787027503053, median values: -0.4199047428542584, and quantile values: 0.25 -0.914842\n0.50 -0.419905\n0.75 0.190843\nName: 9285, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11018252845079211, std values: 0.9788732842284057, min values: -2.673124659932621, max values: 6.0, median values: -0.0277907437118672, and quantile values: 0.25 -0.723603\n0.50 -0.027791\n0.75 0.547001\nName: 9286, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10932281218987003, std values: 0.8129931711415836, min values: -2.244725478378633, max values: 3.176672644814091, median values: -0.0598786901245761, and quantile values: 0.25 -0.706826\n0.50 -0.059879\n0.75 0.477624\nName: 9287, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3099771182787028, std values: 1.0397617190104258, min values: -2.6635706018350787, max values: 3.9905524164385566, median values: 0.3087273998006862, and quantile values: 0.25 -0.335126\n0.50 0.308727\n0.75 1.046142\nName: 9288, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.56018959497359, std values: 1.0468935488525104, min values: -2.6668673616981367, max values: 4.0, median values: -0.476697064333091, and quantile values: 0.25 -1.271970\n0.50 -0.476697\n0.75 0.108636\nName: 9289, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4146185100441458, std values: 0.8952748167226603, min values: -2.525881048269423, max values: 4.243835016543704, median values: 0.505843540391656, and quantile values: 0.25 -0.220632\n0.50 0.505844\n0.75 1.048057\nName: 9290, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7471616850332469, std values: 0.9459605287270207, min values: -3.0133870328644434, max values: 2.8567018992815587, median values: 0.8857068445688373, and quantile values: 0.25 0.178909\n0.50 0.885707\n0.75 1.421111\nName: 9291, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7563436202506063, std values: 1.400168757593579, min values: -2.9622221028070275, max values: 6.0, median values: -0.596515836526457, and quantile values: 0.25 -2.106038\n0.50 -0.596516\n0.75 0.452374\nName: 9292, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.010963462140321997, std values: 0.8502045867053007, min values: -3.3126932323446474, max values: 3.496479817235339, median values: 0.0763900448408106, and quantile values: 0.25 -0.517304\n0.50 0.076390\n0.75 0.544509\nName: 9293, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21686167946422946, std values: 1.2388119999199618, min values: -2.687115288423959, max values: 5.0, median values: 0.4428086230515002, and quantile values: 0.25 -0.540890\n0.50 0.442809\n0.75 1.172819\nName: 9294, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02245960581215528, std values: 0.8226152788213368, min values: -2.5859127503381347, max values: 3.598076523509904, median values: 0.0359741005783191, and quantile values: 0.25 -0.523863\n0.50 0.035974\n0.75 0.494754\nName: 9295, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30842326174529144, std values: 0.77125811988333, min values: -2.589966702820638, max values: 6.0, median values: 0.3268744496093256, and quantile values: 0.25 -0.144198\n0.50 0.326874\n0.75 0.762854\nName: 9296, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05676506460085304, std values: 1.191021748026441, min values: -2.769191083399913, max values: 3.0, median values: 0.0659407543774891, and quantile values: 0.25 -0.698919\n0.50 0.065941\n0.75 0.780248\nName: 9297, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19126284104470936, std values: 0.877282737570255, min values: -2.136064736636534, max values: 5.0, median values: 0.2203419420073347, and quantile values: 0.25 -0.375048\n0.50 0.220342\n0.75 0.725761\nName: 9298, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11924112851224547, std values: 0.7194583495433773, min values: -1.9781022093385048, max values: 3.784832159836258, median values: 0.1419753052995496, and quantile values: 0.25 -0.318480\n0.50 0.141975\n0.75 0.525659\nName: 9299, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23603089569591595, std values: 0.9832217838528146, min values: -1.949636060316365, max values: 3.0932086550988465, median values: 0.103300770549986, and quantile values: 0.25 -0.457114\n0.50 0.103301\n0.75 0.867290\nName: 9300, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07869889099095463, std values: 0.919462785614354, min values: -2.077797959314264, max values: 3.415255285860171, median values: -0.0488009805125624, and quantile values: 0.25 -0.569985\n0.50 -0.048801\n0.75 0.682985\nName: 9301, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1044692863993063, std values: 1.0525094504210457, min values: -2.6635706018350787, max values: 3.0, median values: -0.0250079121202661, and quantile values: 0.25 -0.961977\n0.50 -0.025008\n0.75 0.697441\nName: 9302, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.48927203932118585, std values: 0.9221852241927825, min values: -2.919359491767569, max values: 5.0, median values: -0.4947810512223419, and quantile values: 0.25 -1.023608\n0.50 -0.494781\n0.75 0.090407\nName: 9303, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25454218521122657, std values: 0.8555644689589303, min values: -2.196708653609315, max values: 6.0, median values: -0.3339132755121894, and quantile values: 0.25 -0.961065\n0.50 -0.333913\n0.75 0.358405\nName: 9304, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.047369216167804006, std values: 1.206647543499233, min values: -2.982771139679002, max values: 4.0, median values: -0.0619203822016856, and quantile values: 0.25 -1.009480\n0.50 -0.061920\n0.75 0.845014\nName: 9305, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4086819000038979, std values: 0.8537453404691088, min values: -2.5689076212724418, max values: 5.0, median values: 0.4200250555521743, and quantile values: 0.25 -0.159688\n0.50 0.420025\n0.75 0.930569\nName: 9306, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09937834312766815, std values: 0.7743286519088645, min values: -2.919359491767569, max values: 6.0, median values: -0.152328676581697, and quantile values: 0.25 -0.582708\n0.50 -0.152329\n0.75 0.362167\nName: 9307, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4141654197087525, std values: 0.8828567652621122, min values: -2.645706368984964, max values: 3.0, median values: -0.5280378252797573, and quantile values: 0.25 -1.130615\n0.50 -0.528038\n0.75 0.184156\nName: 9308, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2625192851665924, std values: 0.9426459362698951, min values: -2.614397204565154, max values: 4.0, median values: 0.3261515221297034, and quantile values: 0.25 -0.365698\n0.50 0.326152\n0.75 0.887361\nName: 9309, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8613988962742954, std values: 1.0709863955735461, min values: -2.825926939679757, max values: 3.2906806286429298, median values: -1.0154110877262854, and quantile values: 0.25 -1.679074\n0.50 -1.015411\n0.75 -0.217162\nName: 9310, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.046817317968119915, std values: 0.7120258421913127, min values: -2.6412681606926487, max values: 3.0, median values: -0.0942964697636709, and quantile values: 0.25 -0.497106\n0.50 -0.094296\n0.75 0.405492\nName: 9311, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3551007990248753, std values: 0.8587501883183509, min values: -2.098757565199457, max values: 4.0, median values: -0.44646335178045, and quantile values: 0.25 -1.033610\n0.50 -0.446463\n0.75 0.209077\nName: 9312, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36620814738848195, std values: 0.957919626620472, min values: -2.088894678224596, max values: 3.415255285860171, median values: -0.4774107580588264, and quantile values: 0.25 -1.151017\n0.50 -0.477411\n0.75 0.295270\nName: 9313, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6011267122118695, std values: 0.9313833093613135, min values: -2.0475875918146023, max values: 3.216771431244405, median values: 0.5698873282979426, and quantile values: 0.25 0.003332\n0.50 0.569887\n0.75 1.246292\nName: 9314, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2489103515154869, std values: 0.8159524757773409, min values: -2.842043939794492, max values: 3.176672644814091, median values: 0.3062484138916349, and quantile values: 0.25 -0.306968\n0.50 0.306248\n0.75 0.843782\nName: 9315, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4805561102232693, std values: 0.9285650905406819, min values: -2.0331762695652107, max values: 3.250922035035844, median values: 0.5409991410242065, and quantile values: 0.25 -0.193508\n0.50 0.540999\n0.75 1.202813\nName: 9316, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08667293188055317, std values: 0.86042230517548, min values: -3.1070421433302986, max values: 3.528773265847577, median values: 0.0779782806405171, and quantile values: 0.25 -0.413837\n0.50 0.077978\n0.75 0.642675\nName: 9317, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29689353415012787, std values: 0.9305669073917178, min values: -2.5961021427111413, max values: 3.124705982383484, median values: -0.2521244818667664, and quantile values: 0.25 -0.933801\n0.50 -0.252124\n0.75 0.313689\nName: 9318, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02687900288330369, std values: 0.8422792498298625, min values: -2.673549169958716, max values: 6.0, median values: 0.0399150609496667, and quantile values: 0.25 -0.442329\n0.50 0.039915\n0.75 0.501564\nName: 9319, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2881730799417497, std values: 0.8817665242696979, min values: -2.191559373369988, max values: 4.0, median values: -0.3983947213568926, and quantile values: 0.25 -0.973552\n0.50 -0.398395\n0.75 0.324557\nName: 9320, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13955025317641562, std values: 1.1901028060158119, min values: -2.4902145713898545, max values: 3.2696814875916886, median values: -0.1926722283824569, and quantile values: 0.25 -1.107539\n0.50 -0.192672\n0.75 0.689296\nName: 9321, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1976772151710977, std values: 1.015013692022691, min values: -2.730840794324401, max values: 3.17157439250477, median values: 0.3705543753973837, and quantile values: 0.25 -0.355609\n0.50 0.370554\n0.75 0.874412\nName: 9322, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2777202951969211, std values: 1.0712560020979567, min values: -2.697026421440041, max values: 4.0, median values: 0.500783014494612, and quantile values: 0.25 -0.228389\n0.50 0.500783\n0.75 1.038556\nName: 9323, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1527862572207833, std values: 1.2480089345331227, min values: -2.815821936576896, max values: 3.670892362631932, median values: 0.0790451163638728, and quantile values: 0.25 -0.908682\n0.50 0.079045\n0.75 0.779338\nName: 9324, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8597431821344524, std values: 0.8060049740357893, min values: -2.580492024304656, max values: 3.025409039429847, median values: -1.0139825500890347, and quantile values: 0.25 -1.427948\n0.50 -1.013983\n0.75 -0.442117\nName: 9325, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1813360755390885, std values: 0.9514029944363473, min values: -2.4902145713898545, max values: 3.709787027503053, median values: 0.1239725563332764, and quantile values: 0.25 -0.410898\n0.50 0.123973\n0.75 0.786241\nName: 9326, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.029870919442741648, std values: 1.1573592267487964, min values: -2.919359491767569, max values: 5.0, median values: 0.1069735896857217, and quantile values: 0.25 -0.553346\n0.50 0.106974\n0.75 0.708913\nName: 9327, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5408205192512463, std values: 1.1164109591071614, min values: -2.9666813816765707, max values: 4.0, median values: -0.563969022696815, and quantile values: 0.25 -1.266239\n0.50 -0.563969\n0.75 0.181152\nName: 9328, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4791022592679167, std values: 0.8160448883337535, min values: -2.7510671817729784, max values: 6.0, median values: -0.5941914190382561, and quantile values: 0.25 -1.027288\n0.50 -0.594191\n0.75 0.026661\nName: 9329, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12342709498138346, std values: 0.9113340273413093, min values: -2.9472833478224456, max values: 6.0, median values: -0.183724179108914, and quantile values: 0.25 -0.640983\n0.50 -0.183724\n0.75 0.422312\nName: 9330, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07974668107323919, std values: 0.7774654091365757, min values: -2.589966702820638, max values: 6.0, median values: 0.0910051938690115, and quantile values: 0.25 -0.448420\n0.50 0.091005\n0.75 0.553049\nName: 9331, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09071284175646924, std values: 0.9854480986156516, min values: -2.5445249319512966, max values: 3.216771431244405, median values: 0.1120158857827715, and quantile values: 0.25 -0.456196\n0.50 0.112016\n0.75 0.744427\nName: 9332, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5574518703588923, std values: 1.0262574040069254, min values: -2.732564679617164, max values: 3.2936960268109283, median values: -0.6044410835285324, and quantile values: 0.25 -1.276808\n0.50 -0.604441\n0.75 0.108940\nName: 9333, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.012735325511537204, std values: 0.9976761454844377, min values: -2.6820581866633817, max values: 3.0362913622068968, median values: 0.1729170535858978, and quantile values: 0.25 -0.445003\n0.50 0.172917\n0.75 0.679303\nName: 9334, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23581578628559302, std values: 0.8482294763398062, min values: -2.558791007225312, max values: 3.0, median values: 0.3539732681790428, and quantile values: 0.25 -0.306002\n0.50 0.353973\n0.75 0.828663\nName: 9335, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0253912241342211, std values: 0.8570999814304702, min values: -2.643887016977268, max values: 6.0, median values: 0.0118175272878545, and quantile values: 0.25 -0.506058\n0.50 0.011818\n0.75 0.492352\nName: 9336, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19353987631843625, std values: 1.0501082040173273, min values: -2.673124659932621, max values: 6.0, median values: 0.2624862235402633, and quantile values: 0.25 -0.446159\n0.50 0.262486\n0.75 0.912338\nName: 9337, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24807147772477928, std values: 0.941384373078913, min values: -2.510124273981921, max values: 3.2936960268109283, median values: -0.2779391007626666, and quantile values: 0.25 -0.885770\n0.50 -0.277939\n0.75 0.301151\nName: 9338, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3089592814247025, std values: 1.0083616619095443, min values: -2.6820581866633817, max values: 3.4758930087721422, median values: 0.3148807302815389, and quantile values: 0.25 -0.376459\n0.50 0.314881\n0.75 1.014549\nName: 9339, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18155628121561349, std values: 0.767059351685311, min values: -2.7024513197886706, max values: 3.1175233493066874, median values: -0.1873384246536564, and quantile values: 0.25 -0.712103\n0.50 -0.187338\n0.75 0.297832\nName: 9340, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40475802455376436, std values: 0.8854747692825106, min values: -2.2915911556076085, max values: 3.0, median values: -0.4764852481566783, and quantile values: 0.25 -1.127514\n0.50 -0.476485\n0.75 0.173949\nName: 9341, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24170408495370005, std values: 0.8042359159028246, min values: -2.8950998983304985, max values: 5.0, median values: -0.2570172481366709, and quantile values: 0.25 -0.781453\n0.50 -0.257017\n0.75 0.231810\nName: 9342, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33476249087441073, std values: 0.9404815559182083, min values: -2.1798712735263623, max values: 3.397048482165858, median values: 0.3376140192603054, and quantile values: 0.25 -0.256208\n0.50 0.337614\n0.75 0.902343\nName: 9343, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12304911141984307, std values: 1.0037060481499092, min values: -3.242093130849769, max values: 2.9996722348762725, median values: -0.2047161631868347, and quantile values: 0.25 -0.761161\n0.50 -0.204716\n0.75 0.547467\nName: 9344, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4499500163878386, std values: 1.077663128493131, min values: -2.0640140184960183, max values: 3.098911021393695, median values: 0.4927447912364965, and quantile values: 0.25 -0.385676\n0.50 0.492745\n0.75 1.336357\nName: 9345, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0864559328803084, std values: 0.9030623386487756, min values: -2.0202919896885287, max values: 3.025409039429847, median values: -0.1033720536443645, and quantile values: 0.25 -0.835086\n0.50 -0.103372\n0.75 0.560260\nName: 9346, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.012653622476539091, std values: 0.8708608541411091, min values: -2.62876542141649, max values: 3.147276669305989, median values: -0.015560339777938, and quantile values: 0.25 -0.674939\n0.50 -0.015560\n0.75 0.633156\nName: 9347, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.561556877234344, std values: 0.9201129672970081, min values: -2.64479559868397, max values: 6.0, median values: -0.6814206479076376, and quantile values: 0.25 -1.269932\n0.50 -0.681421\n0.75 0.036500\nName: 9348, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.006521274652620354, std values: 0.8893699873161865, min values: -2.047302085077502, max values: 5.0, median values: -0.1547358706506781, and quantile values: 0.25 -0.648501\n0.50 -0.154736\n0.75 0.598239\nName: 9349, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.165729608391377, std values: 0.8394192002327946, min values: -2.6685266729136536, max values: 6.0, median values: 0.1421424246463475, and quantile values: 0.25 -0.385201\n0.50 0.142142\n0.75 0.669676\nName: 9350, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36019965535319726, std values: 0.9503362374617584, min values: -2.1232984465035774, max values: 3.0, median values: -0.4378996628897267, and quantile values: 0.25 -1.122019\n0.50 -0.437900\n0.75 0.270768\nName: 9351, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23351565534166446, std values: 1.0550694069725575, min values: -2.6466193392086392, max values: 4.0, median values: -0.0729060775339384, and quantile values: 0.25 -0.891741\n0.50 -0.072906\n0.75 0.470386\nName: 9352, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18027880746167543, std values: 0.9344707019770158, min values: -2.634919142586459, max values: 6.0, median values: -0.2680201535996551, and quantile values: 0.25 -0.80065\n0.50 -0.26802\n0.75 0.45216\nName: 9353, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08689683912976495, std values: 0.9348837810013045, min values: -2.679056533720636, max values: 5.0, median values: -0.1271646479260743, and quantile values: 0.25 -0.774767\n0.50 -0.127165\n0.75 0.550737\nName: 9354, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4440463863416922, std values: 0.7750412470357583, min values: -1.977767932857616, max values: 5.0, median values: 0.5223514754661727, and quantile values: 0.25 -0.061299\n0.50 0.522351\n0.75 0.991896\nName: 9355, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24459809436883498, std values: 0.8503509981178549, min values: -2.8680719719444903, max values: 3.569037956734876, median values: 0.3133412886771655, and quantile values: 0.25 -0.265395\n0.50 0.313341\n0.75 0.816809\nName: 9356, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.053189822082442696, std values: 0.812042889596823, min values: -2.7016525309724218, max values: 3.319774799707247, median values: -0.0843426498414311, and quantile values: 0.25 -0.549627\n0.50 -0.084343\n0.75 0.409036\nName: 9357, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03241324762053455, std values: 0.9236553877305795, min values: -2.673549169958716, max values: 6.0, median values: 0.0140393568401907, and quantile values: 0.25 -0.522537\n0.50 0.014039\n0.75 0.552003\nName: 9358, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2936432254533736, std values: 0.768568793134021, min values: -2.104667097879677, max values: 4.0, median values: 0.3272128247950136, and quantile values: 0.25 -0.189302\n0.50 0.327213\n0.75 0.749293\nName: 9359, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.009309620310719429, std values: 0.8385257805174364, min values: -2.579723791499676, max values: 4.0, median values: -0.0796852609057012, and quantile values: 0.25 -0.598635\n0.50 -0.079685\n0.75 0.523110\nName: 9360, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23438232839016582, std values: 1.0742989647087022, min values: -2.9472833478224456, max values: 6.0, median values: 0.3278230151678684, and quantile values: 0.25 -0.477256\n0.50 0.327823\n0.75 1.083507\nName: 9361, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19851270889415815, std values: 0.8437591355472526, min values: -3.228456465836797, max values: 3.627976272701048, median values: -0.2254315179507533, and quantile values: 0.25 -0.685375\n0.50 -0.225432\n0.75 0.264790\nName: 9362, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07723562959659463, std values: 0.8194504144836168, min values: -2.0884920198234647, max values: 3.4566816047670264, median values: 0.093881547523918, and quantile values: 0.25 -0.502876\n0.50 0.093882\n0.75 0.647772\nName: 9363, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11124913899773373, std values: 1.1085891744247613, min values: -2.673549169958716, max values: 6.0, median values: 0.2489133375645138, and quantile values: 0.25 -0.615054\n0.50 0.248913\n0.75 0.953006\nName: 9364, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08327420865834577, std values: 0.7875620073570209, min values: -2.5689076212724418, max values: 5.0, median values: 0.132603831830543, and quantile values: 0.25 -0.474606\n0.50 0.132604\n0.75 0.624699\nName: 9365, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2447836309731236, std values: 0.7538203276884332, min values: -1.8347111971686985, max values: 6.0, median values: 0.2880937189275544, and quantile values: 0.25 -0.214513\n0.50 0.288094\n0.75 0.660861\nName: 9366, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1719486310164535, std values: 0.8154177841965817, min values: -2.117561035454381, max values: 4.278004674434932, median values: 0.1948269093968083, and quantile values: 0.25 -0.371003\n0.50 0.194827\n0.75 0.703119\nName: 9367, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38010286463718007, std values: 0.9592675346626511, min values: -2.63315074164461, max values: 6.0, median values: -0.4668510342884074, and quantile values: 0.25 -1.077845\n0.50 -0.466851\n0.75 0.276937\nName: 9368, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33260537269760937, std values: 0.9620659986249956, min values: -2.642042398333877, max values: 3.9905524164385566, median values: 0.3764590583467772, and quantile values: 0.25 -0.366027\n0.50 0.376459\n0.75 1.057924\nName: 9369, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10650739046806991, std values: 0.8644750659568013, min values: -2.196181211030292, max values: 5.0, median values: 0.0416790445896736, and quantile values: 0.25 -0.488893\n0.50 0.041679\n0.75 0.631504\nName: 9370, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.007256587624624972, std values: 0.8981379548622592, min values: -2.6023368942328267, max values: 3.0, median values: -0.0569663170803562, and quantile values: 0.25 -0.690465\n0.50 -0.056966\n0.75 0.615001\nName: 9371, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6198242315450506, std values: 1.0910538428766903, min values: -2.9029979285382743, max values: 6.0, median values: 0.6881871578640288, and quantile values: 0.25 -0.147875\n0.50 0.688187\n0.75 1.494071\nName: 9372, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23001154562406723, std values: 0.7833388958819469, min values: -2.2915911556076085, max values: 3.05919958255637, median values: 0.2478340618049077, and quantile values: 0.25 -0.269448\n0.50 0.247834\n0.75 0.738471\nName: 9373, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11379662724437466, std values: 0.8196675627011181, min values: -2.0131371991989395, max values: 6.0, median values: 0.0395016454521597, and quantile values: 0.25 -0.420446\n0.50 0.039502\n0.75 0.630552\nName: 9374, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3129291181722686, std values: 0.9536650394336524, min values: -2.697026421440041, max values: 4.0, median values: -0.3326216381203173, and quantile values: 0.25 -0.989287\n0.50 -0.332622\n0.75 0.371475\nName: 9375, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0797274017421455, std values: 0.810110802087525, min values: -2.267175988438518, max values: 5.0, median values: 0.0824081856245384, and quantile values: 0.25 -0.439344\n0.50 0.082408\n0.75 0.551728\nName: 9376, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35249125306037865, std values: 1.118235070104479, min values: -2.7428415536925543, max values: 5.0, median values: 0.3430986319088897, and quantile values: 0.25 -0.252449\n0.50 0.343099\n0.75 1.114351\nName: 9377, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7395934576712524, std values: 1.0772127619324603, min values: -3.124705982383478, max values: 3.3636961113187773, median values: -0.5620220974452949, and quantile values: 0.25 -1.682092\n0.50 -0.562022\n0.75 0.000638\nName: 9378, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22000977675474445, std values: 0.7778501188117563, min values: -2.4536054974529624, max values: 6.0, median values: 0.2989754254171315, and quantile values: 0.25 -0.336388\n0.50 0.298975\n0.75 0.781182\nName: 9379, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4661884506822723, std values: 1.7883370952977287, min values: -2.879968592907284, max values: 4.0, median values: -0.7036336050369071, and quantile values: 0.25 -2.093330\n0.50 -0.703634\n0.75 0.835896\nName: 9380, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5338556899315673, std values: 0.8293452823356745, min values: -2.5631847770497496, max values: 4.0, median values: 0.5749116738834706, and quantile values: 0.25 -0.042809\n0.50 0.574912\n0.75 1.152407\nName: 9381, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2312145949755466, std values: 1.2511962926111764, min values: -2.9622221028070275, max values: 6.0, median values: -0.0217218176773502, and quantile values: 0.25 -1.121880\n0.50 -0.021722\n0.75 0.701568\nName: 9382, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12618112479609483, std values: 0.9284392653512664, min values: -2.799990485600992, max values: 5.0, median values: 0.1874505331653412, and quantile values: 0.25 -0.545601\n0.50 0.187451\n0.75 0.787925\nName: 9383, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19968018333263526, std values: 0.854830467835305, min values: -2.657750824678472, max values: 5.0, median values: -0.2414211257385687, and quantile values: 0.25 -0.727478\n0.50 -0.241421\n0.75 0.347269\nName: 9384, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.060559667348302475, std values: 1.0021113966529365, min values: -2.673124659932621, max values: 6.0, median values: 0.0042542236362579, and quantile values: 0.25 -0.638240\n0.50 0.004254\n0.75 0.580643\nName: 9385, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42861066051138025, std values: 1.10590716959739, min values: -2.5668911794391143, max values: 4.0, median values: 0.3001930795115697, and quantile values: 0.25 -0.419182\n0.50 0.300193\n0.75 1.270816\nName: 9386, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4294562251332054, std values: 0.9829499142767327, min values: -2.8350118695332047, max values: 5.0, median values: 0.5426897379424568, and quantile values: 0.25 -0.060305\n0.50 0.542690\n0.75 1.056720\nName: 9387, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.402958956042562, std values: 0.8527341079357476, min values: -2.1144606839090367, max values: 6.0, median values: -0.4828498208313481, and quantile values: 0.25 -0.981724\n0.50 -0.482850\n0.75 0.036084\nName: 9388, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20238709437338653, std values: 0.8779476061898273, min values: -2.6652153608723106, max values: 5.0, median values: -0.2854094355060798, and quantile values: 0.25 -0.765288\n0.50 -0.285409\n0.75 0.341820\nName: 9389, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0887443891432997, std values: 0.8607757418278859, min values: -2.8998169811239416, max values: 3.250922035035844, median values: -0.2019262839861926, and quantile values: 0.25 -0.682428\n0.50 -0.201926\n0.75 0.408892\nName: 9390, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2091028771615209, std values: 0.8610836097409821, min values: -2.1139459297101, max values: 3.627976272701048, median values: 0.2672880421450717, and quantile values: 0.25 -0.416328\n0.50 0.267288\n0.75 0.835554\nName: 9391, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11881517273604648, std values: 0.8988572214000244, min values: -3.0687217584296813, max values: 3.224152805256112, median values: -0.1243290928388399, and quantile values: 0.25 -0.670140\n0.50 -0.124329\n0.75 0.439474\nName: 9392, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2960490535867138, std values: 1.289428576639858, min values: -3.1070421433302986, max values: 3.760287110694155, median values: 0.375317652178636, and quantile values: 0.25 -0.510200\n0.50 0.375318\n0.75 1.135105\nName: 9393, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1694480805555129, std values: 0.8713235913678541, min values: -2.58513369695146, max values: 3.438667023696733, median values: -0.2121644647901547, and quantile values: 0.25 -0.783313\n0.50 -0.212164\n0.75 0.355634\nName: 9394, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6337159237065687, std values: 1.0092028036567924, min values: -2.079371595256712, max values: 2.971794873142076, median values: 0.6952123240591584, and quantile values: 0.25 -0.132265\n0.50 0.695212\n0.75 1.502362\nName: 9395, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8357290036679994, std values: 0.9624866896419555, min values: -2.321103531050575, max values: 4.0, median values: 0.8779664837261142, and quantile values: 0.25 0.238615\n0.50 0.877966\n0.75 1.482319\nName: 9396, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2938046643926121, std values: 0.8237082248744798, min values: -2.730840794324401, max values: 3.0, median values: -0.331457636274228, and quantile values: 0.25 -0.896994\n0.50 -0.331458\n0.75 0.254343\nName: 9397, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30737422664241537, std values: 0.8547680552046156, min values: -2.769191083399913, max values: 3.1801075704642923, median values: -0.3107250288523868, and quantile values: 0.25 -0.795989\n0.50 -0.310725\n0.75 0.198196\nName: 9398, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09150589509743279, std values: 0.793046361267748, min values: -1.9581812766775315, max values: 3.455472209455805, median values: -0.0067471828927697, and quantile values: 0.25 -0.471401\n0.50 -0.006747\n0.75 0.634651\nName: 9399, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2789716284821529, std values: 0.8085855765027831, min values: -2.4657737907743, max values: 3.0, median values: -0.3651425538535131, and quantile values: 0.25 -0.835086\n0.50 -0.365143\n0.75 0.242652\nName: 9400, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18195975741785525, std values: 0.7672151937937419, min values: -2.2915911556076085, max values: 3.147276669305989, median values: -0.2163481713656714, and quantile values: 0.25 -0.698331\n0.50 -0.216348\n0.75 0.270792\nName: 9401, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15121572641471442, std values: 0.7626745389691468, min values: -1.9454036662489456, max values: 5.0, median values: 0.1772369697843446, and quantile values: 0.25 -0.371180\n0.50 0.177237\n0.75 0.664463\nName: 9402, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.023607947658946724, std values: 0.8689201420749769, min values: -2.196181211030292, max values: 5.0, median values: -0.0274325961395795, and quantile values: 0.25 -0.669726\n0.50 -0.027433\n0.75 0.611166\nName: 9403, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14923735222609863, std values: 0.8409776004995634, min values: -1.867652015646461, max values: 6.0, median values: -0.2427253801573506, and quantile values: 0.25 -0.792441\n0.50 -0.242725\n0.75 0.395663\nName: 9404, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20926713325956228, std values: 1.131569515637162, min values: -3.124705982383478, max values: 2.9534763778843827, median values: 0.4203860301367348, and quantile values: 0.25 -0.430615\n0.50 0.420386\n0.75 1.047142\nName: 9405, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.463259598263963, std values: 0.8780118672456377, min values: -2.6072570508709387, max values: 4.0, median values: -0.5432003437803788, and quantile values: 0.25 -1.185843\n0.50 -0.543200\n0.75 0.119996\nName: 9406, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08421690378015986, std values: 0.8257345001502706, min values: -2.1339127560970463, max values: 6.0, median values: -0.0132593455165139, and quantile values: 0.25 -0.496573\n0.50 -0.013259\n0.75 0.618752\nName: 9407, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16206927953327852, std values: 0.9312040570752874, min values: -2.4737574649270093, max values: 3.0533207538164056, median values: -0.2384678787102955, and quantile values: 0.25 -0.933375\n0.50 -0.238468\n0.75 0.498872\nName: 9408, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0981579044130958, std values: 1.7685022203022103, min values: -3.0148736195915964, max values: 3.9905524164385566, median values: -1.990070512579688, and quantile values: 0.25 -2.362727\n0.50 -1.990071\n0.75 0.117921\nName: 9409, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18672537882170295, std values: 0.7905792184021931, min values: -2.3219763062756256, max values: 3.1888787873512885, median values: 0.1894128148387986, and quantile values: 0.25 -0.299012\n0.50 0.189413\n0.75 0.655731\nName: 9410, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10281322271323494, std values: 0.8886352889012841, min values: -2.073997500902293, max values: 4.0, median values: -0.1927203831819725, and quantile values: 0.25 -0.764697\n0.50 -0.192720\n0.75 0.479078\nName: 9411, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0011791330953073414, std values: 0.9705130744645205, min values: -2.947062251106049, max values: 3.379902545505621, median values: 0.0455357871770126, and quantile values: 0.25 -0.523706\n0.50 0.045536\n0.75 0.590352\nName: 9412, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33750145713030233, std values: 0.8567483280793371, min values: -2.5825978442440407, max values: 6.0, median values: 0.2955665189322881, and quantile values: 0.25 -0.191902\n0.50 0.295567\n0.75 0.859534\nName: 9413, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3965825802779957, std values: 1.0782693319243781, min values: -2.541693081833126, max values: 3.096891534584617, median values: 0.4630254936988216, and quantile values: 0.25 -0.443514\n0.50 0.463025\n0.75 1.323884\nName: 9414, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2955025269433053, std values: 1.0163388159503304, min values: -2.139311372893009, max values: 6.0, median values: -0.3184839596922433, and quantile values: 0.25 -1.185084\n0.50 -0.318484\n0.75 0.411092\nName: 9415, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0888744822384373, std values: 0.7617718312592908, min values: -2.6850842010492566, max values: 6.0, median values: 0.0401894739360668, and quantile values: 0.25 -0.400254\n0.50 0.040189\n0.75 0.535699\nName: 9416, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5781923111036877, std values: 1.0107516866138238, min values: -2.1447730697608054, max values: 4.0, median values: 0.6128888462686095, and quantile values: 0.25 -0.076674\n0.50 0.612889\n0.75 1.268593\nName: 9417, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5130168775057631, std values: 0.8444792755354611, min values: -2.0763692711860644, max values: 4.0, median values: 0.4897387622279999, and quantile values: 0.25 -0.055851\n0.50 0.489739\n0.75 1.089237\nName: 9418, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16964383157738225, std values: 0.843130546192543, min values: -2.8663054413554843, max values: 6.0, median values: -0.1935872461095148, and quantile values: 0.25 -0.706154\n0.50 -0.193587\n0.75 0.322510\nName: 9419, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5235470504246734, std values: 1.0077228708375479, min values: -2.7510671817729784, max values: 6.0, median values: 0.58521264088403, and quantile values: 0.25 -0.084785\n0.50 0.585213\n0.75 1.177153\nName: 9420, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12644749585538348, std values: 0.8473816951959913, min values: -2.7314147016889114, max values: 3.0, median values: 0.159186378864185, and quantile values: 0.25 -0.316868\n0.50 0.159186\n0.75 0.659801\nName: 9421, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5796410783995374, std values: 0.8454102759641722, min values: -2.9109251266226006, max values: 3.3760121766849016, median values: -0.6537857706083119, and quantile values: 0.25 -1.126906\n0.50 -0.653786\n0.75 -0.116201\nName: 9422, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2920802402711326, std values: 1.3947549024029944, min values: -2.8563982925340614, max values: 4.0, median values: 0.6241064821987066, and quantile values: 0.25 -0.525605\n0.50 0.624106\n0.75 1.389119\nName: 9423, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13920096034959928, std values: 0.8436295291567261, min values: -2.4902145713898545, max values: 3.5908526919299577, median values: -0.1257168622631818, and quantile values: 0.25 -0.698466\n0.50 -0.125717\n0.75 0.384905\nName: 9424, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4243280863706841, std values: 0.9144962851842957, min values: -2.642042398333877, max values: 3.132053530264631, median values: -0.4480764818919108, and quantile values: 0.25 -1.067661\n0.50 -0.448076\n0.75 0.139441\nName: 9425, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09443730511055755, std values: 0.7608837907381758, min values: -2.008976164219656, max values: 3.721862465295849, median values: -0.1550946678320932, and quantile values: 0.25 -0.600672\n0.50 -0.155095\n0.75 0.377804\nName: 9426, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05897931449363508, std values: 0.864282157775588, min values: -2.5039074859839925, max values: 4.0, median values: 0.0209653412302308, and quantile values: 0.25 -0.593948\n0.50 0.020965\n0.75 0.625917\nName: 9427, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29339468326609625, std values: 0.7921597204275478, min values: -2.476285024008804, max values: 3.0, median values: 0.3619615074254606, and quantile values: 0.25 -0.271304\n0.50 0.361962\n0.75 0.881660\nName: 9428, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31940350736769335, std values: 1.0335112589767412, min values: -2.5774281843044924, max values: 6.0, median values: 0.2709615994886608, and quantile values: 0.25 -0.512193\n0.50 0.270962\n0.75 1.218805\nName: 9429, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08714855258983249, std values: 0.8487989846001383, min values: -2.732564679617164, max values: 3.3337116327022187, median values: 0.0424839808748316, and quantile values: 0.25 -0.585680\n0.50 0.042484\n0.75 0.687477\nName: 9430, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14474157423081405, std values: 0.8778172756120646, min values: -2.10401841996724, max values: 3.598076523509904, median values: 0.2176790417163222, and quantile values: 0.25 -0.510422\n0.50 0.217679\n0.75 0.759065\nName: 9431, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12996578396399172, std values: 0.7833014724649379, min values: -2.589966702820638, max values: 6.0, median values: -0.1736848005693143, and quantile values: 0.25 -0.649971\n0.50 -0.173685\n0.75 0.322788\nName: 9432, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2661120681784526, std values: 0.8068203470639579, min values: -2.6466193392086392, max values: 4.0, median values: -0.2352729048131383, and quantile values: 0.25 -0.795309\n0.50 -0.235273\n0.75 0.221987\nName: 9433, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31036352711897797, std values: 0.8020693783704407, min values: -2.589966702820638, max values: 6.0, median values: -0.3655720720175625, and quantile values: 0.25 -0.854048\n0.50 -0.365572\n0.75 0.123544\nName: 9434, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05489528398893, std values: 0.9126574944563624, min values: -2.891990595045606, max values: 6.0, median values: 0.1457722892114679, and quantile values: 0.25 -0.472971\n0.50 0.145772\n0.75 0.628420\nName: 9435, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7108598502410367, std values: 1.0906347345562089, min values: -3.236860296211546, max values: 3.3014869995452325, median values: -0.604474142700729, and quantile values: 0.25 -1.717110\n0.50 -0.604474\n0.75 0.026001\nName: 9436, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04294221249267811, std values: 0.7999254125785568, min values: -2.271143658239337, max values: 6.0, median values: 0.0182941268366673, and quantile values: 0.25 -0.482076\n0.50 0.018294\n0.75 0.555659\nName: 9437, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6141367373926331, std values: 0.8782910476096695, min values: -2.9898739724800576, max values: 3.760287110694155, median values: 0.7025744429215725, and quantile values: 0.25 -0.021084\n0.50 0.702574\n0.75 1.308046\nName: 9438, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12757736071520293, std values: 0.802463372731902, min values: -2.5832619696830608, max values: 6.0, median values: -0.1920944056028511, and quantile values: 0.25 -0.671629\n0.50 -0.192094\n0.75 0.334088\nName: 9439, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0356755174553689, std values: 0.7219775490360442, min values: -2.044138536277291, max values: 2.525307397547022, median values: -0.0724084411365831, and quantile values: 0.25 -0.510516\n0.50 -0.072408\n0.75 0.401746\nName: 9440, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16649341189277966, std values: 0.7488353966004101, min values: -2.506827530467421, max values: 4.0, median values: 0.2311130423138753, and quantile values: 0.25 -0.348966\n0.50 0.231113\n0.75 0.670002\nName: 9441, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03223884962099901, std values: 0.884943815417264, min values: -2.673124659932621, max values: 6.0, median values: 0.0112913582811297, and quantile values: 0.25 -0.513271\n0.50 0.011291\n0.75 0.618002\nName: 9442, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20782004581673783, std values: 0.9827350300546174, min values: -2.4960309093026924, max values: 3.867701659180865, median values: -0.2954677614422425, and quantile values: 0.25 -0.912402\n0.50 -0.295468\n0.75 0.443818\nName: 9443, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38460145618931574, std values: 0.982530930215242, min values: -2.174843621473063, max values: 3.281452258958016, median values: -0.5035080788280573, and quantile values: 0.25 -1.206626\n0.50 -0.503508\n0.75 0.280440\nName: 9444, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43031226357488567, std values: 0.9653352309223788, min values: -1.90557920762688, max values: 3.0, median values: 0.4298814002669917, and quantile values: 0.25 -0.296900\n0.50 0.429881\n0.75 1.156589\nName: 9445, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.019309666439903818, std values: 0.7961852295851546, min values: -2.5825978442440407, max values: 6.0, median values: -0.1017125523378725, and quantile values: 0.25 -0.589270\n0.50 -0.101713\n0.75 0.481840\nName: 9446, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24048979043298097, std values: 1.1147664637482337, min values: -2.6660404517971856, max values: 4.0, median values: -0.1789928585864519, and quantile values: 0.25 -1.108281\n0.50 -0.178993\n0.75 0.569483\nName: 9447, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14545436747664792, std values: 0.9087561581194785, min values: -2.142854198138545, max values: 3.5581019918925243, median values: 0.1247731528755158, and quantile values: 0.25 -0.543792\n0.50 0.124773\n0.75 0.863045\nName: 9448, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.024628588798510043, std values: 0.9525377238543071, min values: -2.5759052915632985, max values: 3.397048482165858, median values: -0.1279377981847935, and quantile values: 0.25 -0.767513\n0.50 -0.127938\n0.75 0.621065\nName: 9449, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26313999843433433, std values: 0.8397194835835564, min values: -2.579723791499676, max values: 4.0, median values: -0.3676448146976509, and quantile values: 0.25 -0.889486\n0.50 -0.367645\n0.75 0.264368\nName: 9450, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11372547945099257, std values: 0.7829503686806882, min values: -2.687115288423959, max values: 5.0, median values: 0.0791755515721267, and quantile values: 0.25 -0.387569\n0.50 0.079176\n0.75 0.605202\nName: 9451, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6161359551374936, std values: 0.8776257967869805, min values: -2.021565395333485, max values: 6.0, median values: 0.7278415066753305, and quantile values: 0.25 0.004987\n0.50 0.727842\n0.75 1.257364\nName: 9452, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13272467019487114, std values: 0.9013765401050255, min values: -2.6652153608723106, max values: 5.0, median values: -0.1563697304464213, and quantile values: 0.25 -0.728560\n0.50 -0.156370\n0.75 0.407289\nName: 9453, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07635853174097376, std values: 1.1091674990408498, min values: -3.0687217584296813, max values: 3.397048482165858, median values: 0.1257351949223188, and quantile values: 0.25 -0.610666\n0.50 0.125735\n0.75 0.639747\nName: 9454, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27413954663879786, std values: 0.8304587724443426, min values: -2.072815977358958, max values: 2.904599483626477, median values: -0.3712983948935193, and quantile values: 0.25 -0.883367\n0.50 -0.371298\n0.75 0.254997\nName: 9455, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20447924115768046, std values: 0.8515046868439624, min values: -2.56026492390943, max values: 4.0, median values: -0.1659160102530911, and quantile values: 0.25 -0.762596\n0.50 -0.165916\n0.75 0.343001\nName: 9456, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04247997537872999, std values: 0.9355585812479297, min values: -2.837386543755612, max values: 4.0, median values: 0.063548660428248, and quantile values: 0.25 -0.473033\n0.50 0.063549\n0.75 0.641053\nName: 9457, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4682768393498235, std values: 0.7341972684844401, min values: -2.081628667506599, max values: 5.0, median values: 0.479294280787259, and quantile values: 0.25 0.010575\n0.50 0.479294\n0.75 0.929805\nName: 9458, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22675542131857035, std values: 1.012617204318135, min values: -2.5953860446419177, max values: 3.0418703198091483, median values: -0.0741383980127174, and quantile values: 0.25 -0.813646\n0.50 -0.074138\n0.75 0.498123\nName: 9459, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1667159478224237, std values: 1.1721207316034603, min values: -2.981718296512785, max values: 5.0, median values: -0.005577771975967, and quantile values: 0.25 -0.835796\n0.50 -0.005578\n0.75 0.616943\nName: 9460, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7842495720850411, std values: 0.9836854408034905, min values: -2.93129584560762, max values: 6.0, median values: -0.9859237895273588, and quantile values: 0.25 -1.507647\n0.50 -0.985924\n0.75 -0.193033\nName: 9461, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12705526377472, std values: 0.744657529384933, min values: -2.4737574649270093, max values: 3.477886732511886, median values: -0.1687921475874783, and quantile values: 0.25 -0.624900\n0.50 -0.168792\n0.75 0.304467\nName: 9462, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12962665092467282, std values: 0.8105892604290925, min values: -2.300042081328127, max values: 4.0, median values: -0.1649620507344666, and quantile values: 0.25 -0.678263\n0.50 -0.164962\n0.75 0.333029\nName: 9463, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03675054033328758, std values: 0.8835613780602656, min values: -2.6404955031131814, max values: 6.0, median values: -0.0290856150108071, and quantile values: 0.25 -0.644504\n0.50 -0.029086\n0.75 0.509073\nName: 9464, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.380041527739662, std values: 0.859730988435535, min values: -2.693453432157769, max values: 3.784832159836258, median values: 0.4379602845986046, and quantile values: 0.25 -0.236377\n0.50 0.437960\n0.75 1.045000\nName: 9465, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.002684663273260394, std values: 0.8852955653283592, min values: -2.3771558481240653, max values: 4.0, median values: 0.006617709552849, and quantile values: 0.25 -0.632369\n0.50 0.006618\n0.75 0.564841\nName: 9466, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8110762161913996, std values: 0.9527848456349334, min values: -2.4737574649270093, max values: 3.2701555622463814, median values: 0.883489053994032, and quantile values: 0.25 0.129132\n0.50 0.883489\n0.75 1.489630\nName: 9467, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6673584341111876, std values: 1.1763902930167476, min values: -2.0152308565268915, max values: 5.0, median values: 0.6033347884477696, and quantile values: 0.25 -0.300481\n0.50 0.603335\n0.75 1.698291\nName: 9468, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06244890448735819, std values: 0.926784700710949, min values: -2.579952672199424, max values: 6.0, median values: -0.1798785425975519, and quantile values: 0.25 -0.719790\n0.50 -0.179879\n0.75 0.539088\nName: 9469, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2579470210264372, std values: 0.8302132298020638, min values: -2.8889090019311845, max values: 5.0, median values: -0.327223510210578, and quantile values: 0.25 -0.850959\n0.50 -0.327224\n0.75 0.296011\nName: 9470, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2325707602531354, std values: 0.88941973414447, min values: -2.5859127503381347, max values: 3.098911021393695, median values: -0.2529205644250029, and quantile values: 0.25 -0.908753\n0.50 -0.252921\n0.75 0.370124\nName: 9471, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4578770315292362, std values: 0.8378186328579911, min values: -2.044138536277291, max values: 3.1166497049712243, median values: 0.4694544476800498, and quantile values: 0.25 -0.094075\n0.50 0.469454\n0.75 1.004595\nName: 9472, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.057467650766743275, std values: 1.0520846016871337, min values: -2.9622221028070275, max values: 6.0, median values: -0.0012392694048647, and quantile values: 0.25 -0.631129\n0.50 -0.001239\n0.75 0.635056\nName: 9473, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.46060298772116504, std values: 0.9519871688216873, min values: -2.7688682710567485, max values: 3.312693232344632, median values: 0.6302059534958547, and quantile values: 0.25 -0.038912\n0.50 0.630206\n0.75 1.098939\nName: 9474, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.060995481344255136, std values: 0.8144163735024593, min values: -2.1222500742240245, max values: 4.0, median values: -0.0607891430866811, and quantile values: 0.25 -0.633796\n0.50 -0.060789\n0.75 0.457376\nName: 9475, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32323374351303985, std values: 0.8526174537284172, min values: -2.5820330744015787, max values: 4.0, median values: -0.3013168030196393, and quantile values: 0.25 -0.920532\n0.50 -0.301317\n0.75 0.222777\nName: 9476, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09690827160187081, std values: 1.0301697880210863, min values: -2.8282523283494294, max values: 4.0, median values: 0.2474990146611794, and quantile values: 0.25 -0.619919\n0.50 0.247499\n0.75 0.864805\nName: 9477, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07201275289657705, std values: 1.2356211799211303, min values: -3.21990804472754, max values: 5.0, median values: 0.1311870567912935, and quantile values: 0.25 -0.762984\n0.50 0.131187\n0.75 0.763886\nName: 9478, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.002315201076529746, std values: 0.8676303278544981, min values: -2.867984306888309, max values: 3.670892362631932, median values: 0.0482400405490389, and quantile values: 0.25 -0.612062\n0.50 0.048240\n0.75 0.619662\nName: 9479, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.63472672224795, std values: 0.9651084135048161, min values: -3.228456465836797, max values: 3.1395741599540568, median values: -0.7619720682118465, and quantile values: 0.25 -1.377918\n0.50 -0.761972\n0.75 -0.057203\nName: 9480, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5616644148095071, std values: 1.0614451904880866, min values: -2.475778245535816, max values: 4.0, median values: 0.5014433500088964, and quantile values: 0.25 -0.245080\n0.50 0.501443\n0.75 1.456616\nName: 9481, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.48551303743403623, std values: 1.008255077429047, min values: -2.6800544037614658, max values: 4.0, median values: -0.5475142416875186, and quantile values: 0.25 -1.170244\n0.50 -0.547514\n0.75 0.194117\nName: 9482, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11380030646195548, std values: 0.7363198315663647, min values: -2.300042081328127, max values: 4.0, median values: 0.0876543207449305, and quantile values: 0.25 -0.361179\n0.50 0.087654\n0.75 0.563157\nName: 9483, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10233511305103535, std values: 1.1172986836876075, min values: -2.63315074164461, max values: 6.0, median values: 0.1373452725012936, and quantile values: 0.25 -0.564744\n0.50 0.137345\n0.75 0.838077\nName: 9484, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09279211452686383, std values: 0.7599803721305345, min values: -2.028412867843044, max values: 2.853916218754344, median values: 0.0925262471230268, and quantile values: 0.25 -0.409311\n0.50 0.092526\n0.75 0.560808\nName: 9485, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1770218168408412, std values: 0.9271021060990573, min values: -2.3922473154067863, max values: 5.0, median values: 0.2004792175808605, and quantile values: 0.25 -0.515731\n0.50 0.200479\n0.75 0.900143\nName: 9486, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2035212588967896, std values: 1.0972925345751012, min values: -2.8531572940820533, max values: 3.379902545505621, median values: -0.1399142373764255, and quantile values: 0.25 -0.892585\n0.50 -0.139914\n0.75 0.563065\nName: 9487, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3228665201646537, std values: 0.8232077180961058, min values: -2.1443936610614487, max values: 3.250922035035844, median values: -0.3625202354215379, and quantile values: 0.25 -0.942525\n0.50 -0.362520\n0.75 0.226449\nName: 9488, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3550772865758283, std values: 0.9031895139126128, min values: -1.9368994502143209, max values: 3.0533207538164056, median values: 0.3923598421766188, and quantile values: 0.25 -0.341921\n0.50 0.392360\n0.75 1.089392\nName: 9489, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01142747397306705, std values: 0.8583116525653236, min values: -2.174843621473063, max values: 3.02009942896863, median values: -0.0480470418206004, and quantile values: 0.25 -0.591835\n0.50 -0.048047\n0.75 0.486171\nName: 9490, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10662140775362243, std values: 0.8277005395837574, min values: -2.3254925951767884, max values: 6.0, median values: 0.1621311842981273, and quantile values: 0.25 -0.437705\n0.50 0.162131\n0.75 0.611033\nName: 9491, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2667052771491832, std values: 0.9225576343210947, min values: -2.349293916724472, max values: 3.0, median values: -0.272091972081836, and quantile values: 0.25 -0.990996\n0.50 -0.272092\n0.75 0.400878\nName: 9492, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2234787277776499, std values: 1.1722636296772821, min values: -2.739804196611005, max values: 6.0, median values: 0.2304059824252109, and quantile values: 0.25 -0.481118\n0.50 0.230406\n0.75 0.955312\nName: 9493, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4665484798394141, std values: 0.8594428384283536, min values: -2.6404955031131814, max values: 5.0, median values: -0.5575877748169422, and quantile values: 0.25 -1.045686\n0.50 -0.557588\n0.75 0.027561\nName: 9494, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6844426704443418, std values: 0.9833737919126418, min values: -2.7428415536925543, max values: 5.0, median values: -0.6493474464462579, and quantile values: 0.25 -1.417943\n0.50 -0.649347\n0.75 -0.036387\nName: 9495, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.013798882458376684, std values: 0.8069571400826974, min values: -1.941654037550424, max values: 3.3014869995452325, median values: -0.0268047375585985, and quantile values: 0.25 -0.520581\n0.50 -0.026805\n0.75 0.502595\nName: 9496, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05367875861305612, std values: 0.858275272915853, min values: -2.6820581866633817, max values: 3.0, median values: -0.0462549952840026, and quantile values: 0.25 -0.598271\n0.50 -0.046255\n0.75 0.511112\nName: 9497, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2167971680804697, std values: 0.813689567734407, min values: -2.4105024411864138, max values: 3.135426854633533, median values: 0.2665043154082672, and quantile values: 0.25 -0.249453\n0.50 0.266504\n0.75 0.695662\nName: 9498, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19201742091039922, std values: 0.8228857401849878, min values: -2.291553938212928, max values: 3.0, median values: 0.2309365648048432, and quantile values: 0.25 -0.404315\n0.50 0.230937\n0.75 0.804296\nName: 9499, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.029083024191525926, std values: 0.962040914416344, min values: -3.074005993202373, max values: 3.760287110694155, median values: -0.0080966465020128, and quantile values: 0.25 -0.756517\n0.50 -0.008097\n0.75 0.755287\nName: 9500, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.016009531339852077, std values: 0.8382728277287153, min values: -2.093800662299286, max values: 3.630507857092792, median values: -0.1034670985873473, and quantile values: 0.25 -0.574591\n0.50 -0.103467\n0.75 0.464917\nName: 9501, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5542433952874591, std values: 0.7798305143926026, min values: -2.212004168819108, max values: 3.0533207538164056, median values: 0.5753020610519118, and quantile values: 0.25 0.078737\n0.50 0.575302\n0.75 1.053517\nName: 9502, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16287680868203963, std values: 0.8227173097340933, min values: -2.3771558481240653, max values: 4.243835016543704, median values: -0.2497371904275932, and quantile values: 0.25 -0.767101\n0.50 -0.249737\n0.75 0.364764\nName: 9503, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27477619244502666, std values: 0.8543958786793183, min values: -2.0595468593293136, max values: 5.0, median values: -0.3683200744218322, and quantile values: 0.25 -0.886953\n0.50 -0.368320\n0.75 0.207574\nName: 9504, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4205620051403003, std values: 0.7814742800112953, min values: -1.917844427564773, max values: 3.670892362631932, median values: 0.4990327364093209, and quantile values: 0.25 -0.104481\n0.50 0.499033\n0.75 0.979230\nName: 9505, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03856612423736203, std values: 0.8105781152017015, min values: -2.6899145007874274, max values: 3.0, median values: 0.0497948366836997, and quantile values: 0.25 -0.458973\n0.50 0.049795\n0.75 0.526867\nName: 9506, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15297860692544527, std values: 0.7551330720457787, min values: -2.100786257316884, max values: 3.0, median values: 0.1836269311225132, and quantile values: 0.25 -0.392568\n0.50 0.183627\n0.75 0.701425\nName: 9507, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09689040354848336, std values: 0.785600922503551, min values: -2.0131371991989395, max values: 5.0, median values: 0.0397772550293215, and quantile values: 0.25 -0.423831\n0.50 0.039777\n0.75 0.582731\nName: 9508, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1522102197534468, std values: 0.9493868383424163, min values: -2.673549169958716, max values: 6.0, median values: -0.1895810442453488, and quantile values: 0.25 -0.688838\n0.50 -0.189581\n0.75 0.420356\nName: 9509, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17461333689791866, std values: 1.061184888764587, min values: -2.6820581866633817, max values: 3.082096909284949, median values: -0.1171719468056224, and quantile values: 0.25 -0.790983\n0.50 -0.117172\n0.75 0.566040\nName: 9510, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6577472207063524, std values: 1.2082249495962354, min values: -2.3051489257282016, max values: 5.0, median values: 0.6780550949024333, and quantile values: 0.25 -0.316595\n0.50 0.678055\n0.75 1.620626\nName: 9511, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14339621791932364, std values: 0.7315570077052261, min values: -2.0407136277056424, max values: 5.0, median values: 0.090369179684892, and quantile values: 0.25 -0.327024\n0.50 0.090369\n0.75 0.596488\nName: 9512, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18302630473673653, std values: 0.8433778398154625, min values: -2.1301704007793827, max values: 5.0, median values: -0.2081535303160047, and quantile values: 0.25 -0.745269\n0.50 -0.208154\n0.75 0.335971\nName: 9513, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37995599156545157, std values: 0.9184313743700256, min values: -2.7648443048846945, max values: 2.887007053971583, median values: 0.5295263897272057, and quantile values: 0.25 -0.266015\n0.50 0.529526\n0.75 1.068329\nName: 9514, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34615399198220775, std values: 0.7806002720349113, min values: -2.245752867605861, max values: 3.496479817235339, median values: 0.4154574259616435, and quantile values: 0.25 -0.171286\n0.50 0.415457\n0.75 0.869136\nName: 9515, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17878743584244142, std values: 0.7525560320553984, min values: -2.215291168881953, max values: 3.3636961113187773, median values: -0.1980201661115399, and quantile values: 0.25 -0.712849\n0.50 -0.198020\n0.75 0.289572\nName: 9516, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15638553727057272, std values: 0.8939774141971099, min values: -2.7648443048846945, max values: 3.5581019918925243, median values: 0.0400253062315842, and quantile values: 0.25 -0.483221\n0.50 0.040025\n0.75 0.757963\nName: 9517, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3920483580651818, std values: 0.9703621462090124, min values: -2.710223074556336, max values: 4.0, median values: -0.4519252117733043, and quantile values: 0.25 -1.135453\n0.50 -0.451925\n0.75 0.235794\nName: 9518, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3049921955089209, std values: 0.7528736001108883, min values: -2.7884838087481176, max values: 6.0, median values: -0.3124229435719846, and quantile values: 0.25 -0.838760\n0.50 -0.312423\n0.75 0.149500\nName: 9519, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20622604826092283, std values: 0.9702354276603372, min values: -2.732564679617164, max values: 3.5908526919299577, median values: -0.2709639591892786, and quantile values: 0.25 -0.850499\n0.50 -0.270964\n0.75 0.434534\nName: 9520, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22459332026618833, std values: 0.9461178633520859, min values: -2.580492024304656, max values: 4.0, median values: 0.1619396097580672, and quantile values: 0.25 -0.468742\n0.50 0.161940\n0.75 0.873804\nName: 9521, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23795334311895455, std values: 0.8878184129701261, min values: -2.341109181654904, max values: 3.2696814875916886, median values: -0.3757868454668305, and quantile values: 0.25 -0.924768\n0.50 -0.375787\n0.75 0.356642\nName: 9522, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3427329818991508, std values: 0.8266462942667363, min values: -2.072108449798908, max values: 3.281452258958016, median values: 0.4221315141036272, and quantile values: 0.25 -0.216852\n0.50 0.422132\n0.75 0.929932\nName: 9523, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10391569834765822, std values: 0.9732507154911038, min values: -2.8350118695332047, max values: 5.0, median values: -0.0701450320373159, and quantile values: 0.25 -0.634975\n0.50 -0.070145\n0.75 0.498505\nName: 9524, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22541023143016525, std values: 0.8545465332594553, min values: -2.1775880058603043, max values: 3.3636961113187773, median values: -0.2999626190184963, and quantile values: 0.25 -0.828978\n0.50 -0.299963\n0.75 0.256111\nName: 9525, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15871382235546602, std values: 1.1498000345069548, min values: -2.590643619371846, max values: 4.0, median values: 0.3654627799073325, and quantile values: 0.25 -0.571022\n0.50 0.365463\n0.75 1.010673\nName: 9526, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4372907493143055, std values: 0.9471956469794518, min values: -2.623568901859613, max values: 4.0, median values: -0.3424172415886432, and quantile values: 0.25 -1.072856\n0.50 -0.342417\n0.75 0.178573\nName: 9527, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.026155666387519275, std values: 0.7186938644334986, min values: -2.58513369695146, max values: 3.784832159836258, median values: -0.0006884828808663, and quantile values: 0.25 -0.478180\n0.50 -0.000688\n0.75 0.438688\nName: 9528, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2181985995122914, std values: 0.7803866487864733, min values: -2.0655543577253828, max values: 4.0, median values: 0.266088027181109, and quantile values: 0.25 -0.317119\n0.50 0.266088\n0.75 0.770563\nName: 9529, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7047480166340262, std values: 0.9300928460144458, min values: -2.87684958111886, max values: 3.1888787873512885, median values: -0.8430348291164469, and quantile values: 0.25 -1.426554\n0.50 -0.843035\n0.75 -0.176973\nName: 9530, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05915386961495151, std values: 0.8864541052334596, min values: -2.130470192851498, max values: 3.784832159836258, median values: -0.1479003071072026, and quantile values: 0.25 -0.745688\n0.50 -0.147900\n0.75 0.512247\nName: 9531, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3735097716655301, std values: 1.1328808334734395, min values: -3.074005993202373, max values: 3.709787027503053, median values: -0.3999047825948686, and quantile values: 0.25 -1.259150\n0.50 -0.399905\n0.75 0.437861\nName: 9532, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08124014955820634, std values: 0.8578321536579198, min values: -2.6404955031131814, max values: 5.0, median values: -0.0143939102370902, and quantile values: 0.25 -0.615800\n0.50 -0.014394\n0.75 0.482045\nName: 9533, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29382538626265414, std values: 1.0438411803605403, min values: -2.5122218748354936, max values: 3.0, median values: -0.2999914257086336, and quantile values: 0.25 -1.115605\n0.50 -0.299991\n0.75 0.478306\nName: 9534, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.051684582761555305, std values: 0.8961262233667812, min values: -2.1227739687253626, max values: 4.243835016543704, median values: -0.1443374406167745, and quantile values: 0.25 -0.758588\n0.50 -0.144337\n0.75 0.569175\nName: 9535, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07478731993050025, std values: 0.8228060648398572, min values: -2.5213149333948146, max values: 3.1888787873512885, median values: 0.0612581839280858, and quantile values: 0.25 -0.480646\n0.50 0.061258\n0.75 0.564238\nName: 9536, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41543785636253827, std values: 0.9129400138919563, min values: -2.442256129120324, max values: 6.0, median values: -0.5951116496524474, and quantile values: 0.25 -1.092606\n0.50 -0.595112\n0.75 0.163161\nName: 9537, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03781110055277951, std values: 0.8014874326651851, min values: -2.215291168881953, max values: 3.630507857092792, median values: -0.0370910403893272, and quantile values: 0.25 -0.531777\n0.50 -0.037091\n0.75 0.550524\nName: 9538, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0256771328297398, std values: 1.3763982294859178, min values: -2.727901130262228, max values: 4.0, median values: -1.698650509722466, and quantile values: 0.25 -2.140874\n0.50 -1.698651\n0.75 0.112321\nName: 9539, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5573788547656573, std values: 0.8739271654210812, min values: -2.860922438481449, max values: 2.859509925850422, median values: -0.6791992131702852, and quantile values: 0.25 -1.221997\n0.50 -0.679199\n0.75 0.028744\nName: 9540, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11939838909661385, std values: 0.8852175528420795, min values: -2.6466193392086392, max values: 4.0, median values: -0.0336382425659542, and quantile values: 0.25 -0.588431\n0.50 -0.033638\n0.75 0.434598\nName: 9541, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16317986493468176, std values: 0.7711370660805625, min values: -2.580492024304656, max values: 3.9048392686725855, median values: -0.2076705124294955, and quantile values: 0.25 -0.677386\n0.50 -0.207671\n0.75 0.296997\nName: 9542, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18929334121344146, std values: 0.9142272927360396, min values: -2.372995607737588, max values: 5.0, median values: 0.2244147047199784, and quantile values: 0.25 -0.471124\n0.50 0.224415\n0.75 0.806200\nName: 9543, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4525902305627848, std values: 0.7548270432648119, min values: -1.947288784346615, max values: 3.3483277116524426, median values: 0.5049393908705995, and quantile values: 0.25 -0.044546\n0.50 0.504939\n0.75 0.970460\nName: 9544, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0951944914574888, std values: 1.3109450631102306, min values: -2.9029979285382743, max values: 3.5908526919299577, median values: 0.1694303648425392, and quantile values: 0.25 -0.946364\n0.50 0.169430\n0.75 0.954834\nName: 9545, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2206948293098662, std values: 0.8526632530018711, min values: -2.693453432157769, max values: 3.0, median values: 0.1605528206787393, and quantile values: 0.25 -0.443089\n0.50 0.160553\n0.75 0.841540\nName: 9546, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13582103745207708, std values: 0.8785620319558513, min values: -2.098757565199457, max values: 5.0, median values: 0.0601269905236949, and quantile values: 0.25 -0.487582\n0.50 0.060127\n0.75 0.684568\nName: 9547, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09368044262050468, std values: 0.9325703061971159, min values: -2.6603025395856053, max values: 5.0, median values: 0.1850967468566124, and quantile values: 0.25 -0.506569\n0.50 0.185097\n0.75 0.726924\nName: 9548, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0982597376883517, std values: 0.7732701517297377, min values: -2.0664852352279466, max values: 5.0, median values: -0.154568438785646, and quantile values: 0.25 -0.620821\n0.50 -0.154568\n0.75 0.379454\nName: 9549, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21489367198267362, std values: 0.9984095689602416, min values: -2.87684958111886, max values: 3.867701659180865, median values: 0.2160065509638647, and quantile values: 0.25 -0.476882\n0.50 0.216007\n0.75 0.910541\nName: 9550, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.004310249687976278, std values: 0.8948191365324482, min values: -2.008976164219656, max values: 4.0, median values: -0.0045715418911842, and quantile values: 0.25 -0.700828\n0.50 -0.004572\n0.75 0.711110\nName: 9551, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3366942516353614, std values: 0.9748502069705458, min values: -2.673124659932621, max values: 6.0, median values: -0.4208852959149827, and quantile values: 0.25 -0.946845\n0.50 -0.420885\n0.75 0.273539\nName: 9552, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15502239236103452, std values: 0.7780947449074272, min values: -2.5859127503381347, max values: 3.0, median values: 0.2004715021871018, and quantile values: 0.25 -0.335088\n0.50 0.200472\n0.75 0.643081\nName: 9553, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1546263011216754, std values: 1.2761302920725888, min values: -3.00972886875607, max values: 3.4566816047670264, median values: 0.3283208176462714, and quantile values: 0.25 -0.459371\n0.50 0.328321\n0.75 0.970725\nName: 9554, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13341507939974587, std values: 0.9322818525348269, min values: -2.4902145713898545, max values: 3.0, median values: -0.1846605922990449, and quantile values: 0.25 -0.696356\n0.50 -0.184661\n0.75 0.475876\nName: 9555, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.9606254357255242, std values: 1.0481017667350025, min values: -3.0148736195915964, max values: 3.709787027503053, median values: -2.192472334639188, and quantile values: 0.25 -2.497628\n0.50 -2.192472\n0.75 -1.934926\nName: 9556, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13977110162211548, std values: 0.9928684500365743, min values: -2.5953860446419177, max values: 3.438667023696733, median values: 0.2736374215853375, and quantile values: 0.25 -0.426109\n0.50 0.273637\n0.75 0.798904\nName: 9557, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.014414035525930818, std values: 0.8890588862503767, min values: -2.3922473154067863, max values: 5.0, median values: -0.1635202781328846, and quantile values: 0.25 -0.661444\n0.50 -0.163520\n0.75 0.577875\nName: 9558, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08317649509645998, std values: 1.0020036542479882, min values: -2.8350118695332047, max values: 5.0, median values: 0.2276071525335544, and quantile values: 0.25 -0.431120\n0.50 0.227607\n0.75 0.722969\nName: 9559, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6482040731792961, std values: 0.8442304575868846, min values: -1.850291211456553, max values: 4.0, median values: 0.6352296914559314, and quantile values: 0.25 0.099143\n0.50 0.635230\n0.75 1.164352\nName: 9560, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4149898998410802, std values: 0.8223494810686346, min values: -2.8164291268114208, max values: 4.0, median values: 0.4890727270238234, and quantile values: 0.25 -0.096786\n0.50 0.489073\n0.75 0.934142\nName: 9561, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25711728181470256, std values: 0.9850670591241821, min values: -2.7211321814067784, max values: 3.3337116327022187, median values: -0.2128413427349788, and quantile values: 0.25 -0.783800\n0.50 -0.212841\n0.75 0.364727\nName: 9562, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5164709499664788, std values: 0.9410245822963011, min values: -2.103801947435861, max values: 6.0, median values: 0.508343123419489, and quantile values: 0.25 -0.151354\n0.50 0.508343\n0.75 1.261648\nName: 9563, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08288143155016837, std values: 0.9135988977795378, min values: -3.066111439712689, max values: 3.627976272701048, median values: 0.1779295666691157, and quantile values: 0.25 -0.471250\n0.50 0.177930\n0.75 0.713385\nName: 9564, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3148198842606739, std values: 0.9290057298852487, min values: -2.235583939804888, max values: 4.0, median values: 0.3204239574208347, and quantile values: 0.25 -0.395122\n0.50 0.320424\n0.75 1.055536\nName: 9565, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25854507851306785, std values: 0.8724914833131405, min values: -3.447534482420193, max values: 3.162318759909359, median values: 0.2965939470123706, and quantile values: 0.25 -0.386685\n0.50 0.296594\n0.75 0.919810\nName: 9566, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41931736109759743, std values: 0.8737068544740972, min values: -2.525881048269423, max values: 3.867701659180865, median values: 0.3847569587373539, and quantile values: 0.25 -0.185741\n0.50 0.384757\n0.75 0.979047\nName: 9567, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3346541209185492, std values: 0.8623265215865742, min values: -2.39180940730784, max values: 4.0, median values: 0.3983947213568926, and quantile values: 0.25 -0.292210\n0.50 0.398395\n0.75 0.999129\nName: 9568, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1564305422695437, std values: 1.0442312392734012, min values: -2.6320986139293034, max values: 3.216771431244405, median values: -0.0335767306021395, and quantile values: 0.25 -0.947043\n0.50 -0.033577\n0.75 0.614715\nName: 9569, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.058241031606503825, std values: 0.9389773142529376, min values: -2.6466193392086392, max values: 4.0, median values: -0.0008537188085328, and quantile values: 0.25 -0.566198\n0.50 -0.000854\n0.75 0.721218\nName: 9570, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5736706167068769, std values: 0.8568302309210537, min values: -2.419659473655063, max values: 4.0, median values: 0.6776046253127657, and quantile values: 0.25 -0.006145\n0.50 0.677605\n0.75 1.199178\nName: 9571, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3132790392302017, std values: 1.0374342973085486, min values: -2.8350118695332047, max values: 5.0, median values: 0.3762893125949558, and quantile values: 0.25 -0.480592\n0.50 0.376289\n0.75 1.165342\nName: 9572, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08458814169094754, std values: 0.8689899048055317, min values: -2.226424194672579, max values: 4.0, median values: 0.0527530368402801, and quantile values: 0.25 -0.490135\n0.50 0.052753\n0.75 0.605718\nName: 9573, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07777219432836553, std values: 0.7875114561913378, min values: -2.525362520654854, max values: 5.0, median values: -0.1452836464778401, and quantile values: 0.25 -0.621840\n0.50 -0.145284\n0.75 0.444086\nName: 9574, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3058027132124926, std values: 0.9269354653184627, min values: -2.687115288423959, max values: 5.0, median values: -0.2550118959849903, and quantile values: 0.25 -0.901349\n0.50 -0.255012\n0.75 0.294480\nName: 9575, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.015999782583502545, std values: 0.8452790996527475, min values: -2.590643619371846, max values: 4.0, median values: 0.0565683648394237, and quantile values: 0.25 -0.471001\n0.50 0.056568\n0.75 0.510955\nName: 9576, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5696947520688583, std values: 1.0263318825336776, min values: -2.7510671817729784, max values: 6.0, median values: 0.6618589427445528, and quantile values: 0.25 -0.115093\n0.50 0.661859\n0.75 1.386395\nName: 9577, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07074448629609903, std values: 0.9672962387426618, min values: -2.279638670509252, max values: 6.0, median values: -0.067053361835668, and quantile values: 0.25 -0.886953\n0.50 -0.067053\n0.75 0.650953\nName: 9578, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.052312144019007724, std values: 0.9352857367610314, min values: -2.525881048269423, max values: 3.096891534584617, median values: 0.0026707021794931, and quantile values: 0.25 -0.694260\n0.50 0.002671\n0.75 0.762414\nName: 9579, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4513229483674886, std values: 0.9543191791113216, min values: -2.0013698907234683, max values: 6.0, median values: 0.4745005091984124, and quantile values: 0.25 -0.246500\n0.50 0.474501\n0.75 1.231274\nName: 9580, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4657516659746768, std values: 1.0076587703877227, min values: -2.525362520654854, max values: 5.0, median values: 0.4342955568406579, and quantile values: 0.25 -0.226715\n0.50 0.434296\n0.75 1.054217\nName: 9581, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.017345943893367227, std values: 0.8631947673183991, min values: -1.977767932857616, max values: 3.036311757241655, median values: -0.1068351040326252, and quantile values: 0.25 -0.669085\n0.50 -0.106835\n0.75 0.568981\nName: 9582, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21595165108359549, std values: 0.9444638696654694, min values: -2.589966702820638, max values: 6.0, median values: -0.2616026845412146, and quantile values: 0.25 -0.950499\n0.50 -0.261603\n0.75 0.424541\nName: 9583, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.028905598711984892, std values: 0.8688011367335765, min values: -2.8350118695332047, max values: 5.0, median values: 0.0120302529504876, and quantile values: 0.25 -0.518406\n0.50 0.012030\n0.75 0.513675\nName: 9584, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2627554286420364, std values: 0.8977642668003565, min values: -2.933035609461076, max values: 5.0, median values: 0.4052714896348705, and quantile values: 0.25 -0.214006\n0.50 0.405271\n0.75 0.879874\nName: 9585, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3134283412327745, std values: 0.9320525541940594, min values: -2.783691185534105, max values: 3.455472209455805, median values: 0.3285702607952268, and quantile values: 0.25 -0.347464\n0.50 0.328570\n0.75 0.954197\nName: 9586, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19190433617134628, std values: 0.796825594212225, min values: -2.867984306888309, max values: 3.0, median values: -0.2474746451559882, and quantile values: 0.25 -0.727232\n0.50 -0.247475\n0.75 0.252059\nName: 9587, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2590263219822014, std values: 0.8852990474556345, min values: -2.916688926075616, max values: 6.0, median values: -0.2707044868174715, and quantile values: 0.25 -0.840867\n0.50 -0.270704\n0.75 0.293098\nName: 9588, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11955267819024822, std values: 0.9161201407959384, min values: -2.104667097879677, max values: 4.0, median values: -0.2391251125601877, and quantile values: 0.25 -0.817106\n0.50 -0.239125\n0.75 0.478059\nName: 9589, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21173726622424763, std values: 0.9520676006219951, min values: -2.1227739687253626, max values: 3.2071942083719924, median values: 0.1615292767461663, and quantile values: 0.25 -0.539565\n0.50 0.161529\n0.75 0.905543\nName: 9590, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3236518613049041, std values: 0.9260551999696673, min values: -2.5682675825126706, max values: 5.0, median values: -0.4079636342046718, and quantile values: 0.25 -1.073229\n0.50 -0.407964\n0.75 0.317437\nName: 9591, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10264817529911083, std values: 0.9623899074177171, min values: -2.673549169958716, max values: 6.0, median values: -0.0828153314811163, and quantile values: 0.25 -0.864666\n0.50 -0.082815\n0.75 0.590122\nName: 9592, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04793406901636493, std values: 0.8899480683714293, min values: -2.556631690482005, max values: 3.0, median values: -0.2041818654517667, and quantile values: 0.25 -0.697923\n0.50 -0.204182\n0.75 0.561994\nName: 9593, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20524153301397782, std values: 0.9089549627578756, min values: -2.099713839971814, max values: 5.0, median values: -0.3188072092221977, and quantile values: 0.25 -0.862230\n0.50 -0.318807\n0.75 0.398471\nName: 9594, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10142310559341919, std values: 0.9406869701365391, min values: -2.4536054974529624, max values: 6.0, median values: -0.1424454156382694, and quantile values: 0.25 -0.842821\n0.50 -0.142445\n0.75 0.532539\nName: 9595, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14684842640207454, std values: 0.9684542092791438, min values: -2.928515832252388, max values: 3.867701659180865, median values: 0.2015112477091643, and quantile values: 0.25 -0.379424\n0.50 0.201511\n0.75 0.731796\nName: 9596, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3646161805788301, std values: 0.931694487216221, min values: -2.981718296512785, max values: 5.0, median values: -0.464472963903531, and quantile values: 0.25 -1.126148\n0.50 -0.464473\n0.75 0.301202\nName: 9597, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06634876781028459, std values: 0.8182357850486692, min values: -2.618746139350171, max values: 3.4566816047670264, median values: -0.0932453647881845, and quantile values: 0.25 -0.607750\n0.50 -0.093245\n0.75 0.421529\nName: 9598, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06148707752769877, std values: 0.8487160165327247, min values: -2.308265050820812, max values: 5.0, median values: 0.0157412300269611, and quantile values: 0.25 -0.485575\n0.50 0.015741\n0.75 0.601663\nName: 9599, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3438275739234158, std values: 1.131406540645659, min values: -2.101255482180127, max values: 5.0, median values: 0.2084916717274776, and quantile values: 0.25 -0.577029\n0.50 0.208492\n0.75 1.187425\nName: 9600, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.179479212230694, std values: 0.9763527813364569, min values: -2.5213149333948146, max values: 3.336438412828754, median values: 0.1694394701098455, and quantile values: 0.25 -0.469186\n0.50 0.169439\n0.75 0.803801\nName: 9601, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3939064688027231, std values: 0.8513294256387232, min values: -2.801183634509044, max values: 5.0, median values: -0.5012825707470627, and quantile values: 0.25 -0.999900\n0.50 -0.501283\n0.75 0.116878\nName: 9602, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4330396708356066, std values: 0.8873326125995902, min values: -2.6652153608723106, max values: 3.784832159836258, median values: 0.4818136445805835, and quantile values: 0.25 -0.220754\n0.50 0.481814\n0.75 1.105969\nName: 9603, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.046367344946833026, std values: 0.747487735392771, min values: -2.525881048269423, max values: 4.0, median values: 0.0260551378631308, and quantile values: 0.25 -0.447898\n0.50 0.026055\n0.75 0.532888\nName: 9604, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.185287977447386, std values: 1.4052719441966985, min values: -2.855306289371099, max values: 6.0, median values: 0.3014608976274263, and quantile values: 0.25 -0.641186\n0.50 0.301461\n0.75 1.202142\nName: 9605, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21569737480373333, std values: 0.7427478883007261, min values: -2.5039074859839925, max values: 4.0, median values: -0.1987673975574868, and quantile values: 0.25 -0.678099\n0.50 -0.198767\n0.75 0.238927\nName: 9606, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06945589261330617, std values: 1.0376776290412484, min values: -2.92272757463548, max values: 6.0, median values: 0.0084139828668981, and quantile values: 0.25 -0.576899\n0.50 0.008414\n0.75 0.540521\nName: 9607, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5869121110579186, std values: 0.9615823303669593, min values: -2.687115288423959, max values: 5.0, median values: -0.6718069347595247, and quantile values: 0.25 -1.422383\n0.50 -0.671807\n0.75 0.030105\nName: 9608, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28392941765463203, std values: 1.159092934910642, min values: -2.887007053971579, max values: 3.528773265847577, median values: 0.471247091454768, and quantile values: 0.25 -0.329269\n0.50 0.471247\n0.75 1.152407\nName: 9609, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2694206363742234, std values: 0.8447877937932655, min values: -2.1227739687253626, max values: 3.155379154255993, median values: -0.3881398451330817, and quantile values: 0.25 -0.898161\n0.50 -0.388140\n0.75 0.275650\nName: 9610, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24177107838992726, std values: 0.9627051893224304, min values: -2.6320986139293034, max values: 3.721862465295849, median values: -0.2991561326508907, and quantile values: 0.25 -0.941881\n0.50 -0.299156\n0.75 0.417892\nName: 9611, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23888053684197658, std values: 0.826929138721109, min values: -2.024977263287256, max values: 3.103622965243153, median values: 0.1879550506450439, and quantile values: 0.25 -0.307463\n0.50 0.187955\n0.75 0.766691\nName: 9612, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3287477289578612, std values: 0.881079575570364, min values: -2.1313856548403414, max values: 3.0, median values: -0.4159978753841545, and quantile values: 0.25 -1.034503\n0.50 -0.415998\n0.75 0.281863\nName: 9613, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10741721493373857, std values: 0.839150857309648, min values: -2.6850842010492566, max values: 6.0, median values: 0.0942964697636708, and quantile values: 0.25 -0.427587\n0.50 0.094296\n0.75 0.604100\nName: 9614, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22668970598406368, std values: 0.798450812870471, min values: -2.040334556469825, max values: 4.0, median values: -0.3313994479820281, and quantile values: 0.25 -0.788723\n0.50 -0.331399\n0.75 0.288747\nName: 9615, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05447070200871694, std values: 0.9448037318650577, min values: -2.279638670509252, max values: 6.0, median values: -0.0148193767057548, and quantile values: 0.25 -0.583240\n0.50 -0.014819\n0.75 0.632618\nName: 9616, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07330713630446578, std values: 0.9969715520359083, min values: -2.657750824678472, max values: 5.0, median values: 0.0604856532043686, and quantile values: 0.25 -0.691914\n0.50 0.060486\n0.75 0.778378\nName: 9617, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38480340687252224, std values: 0.9997515794992098, min values: -2.63315074164461, max values: 6.0, median values: -0.498497438577666, and quantile values: 0.25 -1.127202\n0.50 -0.498497\n0.75 0.288345\nName: 9618, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28343394967776425, std values: 0.7557142156529251, min values: -2.589966702820638, max values: 6.0, median values: 0.3176399387481811, and quantile values: 0.25 -0.199298\n0.50 0.317640\n0.75 0.750271\nName: 9619, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.474277945420349, std values: 0.9052849011655895, min values: -2.919359491767569, max values: 6.0, median values: -0.5325371299923337, and quantile values: 0.25 -1.129496\n0.50 -0.532537\n0.75 0.105755\nName: 9620, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.9976903583955864, std values: 1.042868576263271, min values: -2.0279821064908434, max values: 3.8226908388056136, median values: 1.0548927001499373, and quantile values: 0.25 0.363903\n0.50 1.054893\n0.75 1.681072\nName: 9621, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13476206476888752, std values: 0.7961284074981518, min values: -2.147228856409125, max values: 3.8226908388056136, median values: -0.2318202177626332, and quantile values: 0.25 -0.720860\n0.50 -0.231820\n0.75 0.364315\nName: 9622, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21051998009780942, std values: 0.9577328803242618, min values: -2.030139687780874, max values: 5.0, median values: 0.1082477543037571, and quantile values: 0.25 -0.534285\n0.50 0.108248\n0.75 0.883610\nName: 9623, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.042426551358407484, std values: 0.7723013972268401, min values: -1.997911883973804, max values: 5.0, median values: 0.0095012137439158, and quantile values: 0.25 -0.460738\n0.50 0.009501\n0.75 0.494674\nName: 9624, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32968246192204287, std values: 0.7656315341287799, min values: -2.7428415536925543, max values: 3.258347009006034, median values: 0.3856590506442305, and quantile values: 0.25 -0.141722\n0.50 0.385659\n0.75 0.814864\nName: 9625, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.529318017052225, std values: 0.940685916076019, min values: -2.842989614395848, max values: 5.0, median values: -0.5232948824140186, and quantile values: 0.25 -1.088938\n0.50 -0.523295\n0.75 0.041073\nName: 9626, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2679175131336155, std values: 0.8056764904960844, min values: -2.024977263287256, max values: 4.0, median values: 0.3191553613601416, and quantile values: 0.25 -0.264054\n0.50 0.319155\n0.75 0.782602\nName: 9627, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10027271171262765, std values: 1.0980616448359548, min values: -2.982771139679002, max values: 4.0, median values: 0.2797142170408268, and quantile values: 0.25 -0.432450\n0.50 0.279714\n0.75 0.836452\nName: 9628, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03027573144834397, std values: 1.4051959138808356, min values: -2.944950884974346, max values: 3.627976272701048, median values: -0.058223447728533, and quantile values: 0.25 -0.933716\n0.50 -0.058223\n0.75 1.041530\nName: 9629, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.026759572801486376, std values: 0.8765835525640673, min values: -2.1259296353090704, max values: 5.0, median values: -0.029642008846731, and quantile values: 0.25 -0.580187\n0.50 -0.029642\n0.75 0.558939\nName: 9630, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43349103542344936, std values: 1.0953515108008143, min values: -2.6466193392086392, max values: 4.0, median values: 0.5985999587398398, and quantile values: 0.25 -0.144554\n0.50 0.598600\n0.75 1.185896\nName: 9631, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6354103193533002, std values: 0.8801843394594577, min values: -2.153087536306035, max values: 3.2266531185902125, median values: -0.71968250399862, and quantile values: 0.25 -1.376147\n0.50 -0.719683\n0.75 -0.021344\nName: 9632, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31018049725604285, std values: 0.8278926213992032, min values: -2.321510952509234, max values: 3.760287110694155, median values: -0.4207820046781824, and quantile values: 0.25 -0.945145\n0.50 -0.420782\n0.75 0.244570\nName: 9633, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.1794106487174114, std values: 1.1835750126627391, min values: -2.727901130262228, max values: 4.0, median values: -1.7067074330037244, and quantile values: 0.25 -2.140406\n0.50 -1.706707\n0.75 -0.143809\nName: 9634, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07210878590900299, std values: 0.8009366161459609, min values: -2.688157591415518, max values: 3.9905524164385566, median values: 0.1230913817985556, and quantile values: 0.25 -0.438876\n0.50 0.123091\n0.75 0.603533\nName: 9635, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8500496234245164, std values: 1.0917291610239461, min values: -2.4705236352348297, max values: 4.243835016543704, median values: 0.8978069054922895, and quantile values: 0.25 0.059575\n0.50 0.897807\n0.75 1.746849\nName: 9636, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11615171483471362, std values: 0.9433939991581807, min values: -2.3771558481240653, max values: 4.0, median values: 0.1094666848987248, and quantile values: 0.25 -0.612295\n0.50 0.109467\n0.75 0.857225\nName: 9637, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07870676342724188, std values: 0.7741226010758357, min values: -2.1149759989911825, max values: 3.670892362631932, median values: -0.0734511285949046, and quantile values: 0.25 -0.582665\n0.50 -0.073451\n0.75 0.375191\nName: 9638, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37724391389495765, std values: 0.938046058052183, min values: -2.486556664247513, max values: 4.243835016543704, median values: 0.4590827625128497, and quantile values: 0.25 -0.162032\n0.50 0.459083\n0.75 1.013890\nName: 9639, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27038696706596116, std values: 1.0457539269117855, min values: -2.87684958111886, max values: 3.721862465295849, median values: -0.4602911053949303, and quantile values: 0.25 -1.011591\n0.50 -0.460291\n0.75 0.351982\nName: 9640, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3222863343995472, std values: 0.8424184789624994, min values: -2.5774281843044924, max values: 6.0, median values: -0.3656478763398581, and quantile values: 0.25 -0.958446\n0.50 -0.365648\n0.75 0.235868\nName: 9641, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4857478810302689, std values: 0.8621925343738075, min values: -2.842043939794492, max values: 3.2936960268109283, median values: -0.6287206279588688, and quantile values: 0.25 -1.152516\n0.50 -0.628721\n0.75 0.044380\nName: 9642, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4834803762585914, std values: 0.9490433512835043, min values: -2.125014575949959, max values: 3.867701659180865, median values: -0.6488514414042823, and quantile values: 0.25 -1.211000\n0.50 -0.648851\n0.75 0.123469\nName: 9643, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4393924534463857, std values: 0.9867192407332485, min values: -2.778044916685896, max values: 3.2266531185902125, median values: -0.4161179917529991, and quantile values: 0.25 -0.945320\n0.50 -0.416118\n0.75 0.183627\nName: 9644, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03880827779019682, std values: 1.293181227439217, min values: -2.8350118695332047, max values: 5.0, median values: 0.0525400313149474, and quantile values: 0.25 -0.851585\n0.50 0.052540\n0.75 1.100064\nName: 9645, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23956039120727776, std values: 0.8755998585142734, min values: -2.566149343918479, max values: 6.0, median values: -0.3516089771676454, and quantile values: 0.25 -0.913406\n0.50 -0.351609\n0.75 0.303922\nName: 9646, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18995916478872377, std values: 0.7963941969571632, min values: -2.039955778193329, max values: 4.278004674434932, median values: 0.1764687452205887, and quantile values: 0.25 -0.329393\n0.50 0.176469\n0.75 0.672693\nName: 9647, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6593633145775967, std values: 1.0285697880462104, min values: -2.8327898928872086, max values: 4.0, median values: -0.6318445431299848, and quantile values: 0.25 -1.329128\n0.50 -0.631845\n0.75 -0.010080\nName: 9648, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.045218864791486006, std values: 0.8627815320057377, min values: -2.0401882913920346, max values: 4.0, median values: -0.1460908071852257, and quantile values: 0.25 -0.612262\n0.50 -0.146091\n0.75 0.471893\nName: 9649, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.062287493092000684, std values: 0.7671789474406284, min values: -1.9604341550668736, max values: 3.147276669305989, median values: 0.0558512106402398, and quantile values: 0.25 -0.428930\n0.50 0.055851\n0.75 0.526962\nName: 9650, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2588704463613255, std values: 0.9932833009963571, min values: -2.673124659932621, max values: 6.0, median values: 0.3345141035428223, and quantile values: 0.25 -0.405451\n0.50 0.334514\n0.75 1.023794\nName: 9651, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35837610770181394, std values: 1.1951205747954643, min values: -2.8563982925340614, max values: 4.0, median values: -0.3903732887074268, and quantile values: 0.25 -1.225695\n0.50 -0.390373\n0.75 0.446931\nName: 9652, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23329504433915343, std values: 0.848588986747118, min values: -2.838932175687192, max values: 4.0, median values: -0.276361949905788, and quantile values: 0.25 -0.791662\n0.50 -0.276362\n0.75 0.235669\nName: 9653, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23015505576366083, std values: 0.912843633638407, min values: -2.486556664247513, max values: 3.0, median values: -0.2224664600997473, and quantile values: 0.25 -0.884238\n0.50 -0.222466\n0.75 0.404056\nName: 9654, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1628856358528428, std values: 0.8364927504829489, min values: -2.862971749830789, max values: 2.711308513600505, median values: -0.1463691605074114, and quantile values: 0.25 -0.683582\n0.50 -0.146369\n0.75 0.375952\nName: 9655, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3604386077249186, std values: 0.8571233197033099, min values: -2.698825908302553, max values: 5.0, median values: -0.416963372239275, and quantile values: 0.25 -0.969209\n0.50 -0.416963\n0.75 0.118143\nName: 9656, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.266568181404839, std values: 0.8097679264176033, min values: -2.7314147016889114, max values: 3.9905524164385566, median values: 0.3038725517407907, and quantile values: 0.25 -0.262735\n0.50 0.303873\n0.75 0.778904\nName: 9657, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01235025358076341, std values: 0.8615158939795574, min values: -2.5682675825126706, max values: 5.0, median values: 0.0095838276545469, and quantile values: 0.25 -0.643697\n0.50 0.009584\n0.75 0.592089\nName: 9658, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1192428029051707, std values: 0.7726703849034433, min values: -2.475272102106495, max values: 4.0, median values: -0.1926240740297219, and quantile values: 0.25 -0.615886\n0.50 -0.192624\n0.75 0.346786\nName: 9659, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16125744900905925, std values: 1.0368063129675966, min values: -2.9278427058120164, max values: 6.0, median values: -0.2765092799829676, and quantile values: 0.25 -0.973035\n0.50 -0.276509\n0.75 0.520266\nName: 9660, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2622316202460481, std values: 0.7528533468899636, min values: -3.0223671288921072, max values: 3.3337116327022187, median values: 0.2532617917086222, and quantile values: 0.25 -0.190217\n0.50 0.253262\n0.75 0.717793\nName: 9661, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6247508310941884, std values: 0.8900998174106847, min values: -2.1103582417935702, max values: 4.0, median values: 0.7296731775576701, and quantile values: 0.25 0.102183\n0.50 0.729673\n0.75 1.213268\nName: 9662, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35124302473182756, std values: 0.7627592452717872, min values: -2.136064736636534, max values: 3.05919958255637, median values: -0.444942595257411, and quantile values: 0.25 -0.876196\n0.50 -0.444943\n0.75 0.103069\nName: 9663, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12215102204111168, std values: 0.7724887210243824, min values: -2.2837882496430213, max values: 4.0, median values: -0.1219960006946765, and quantile values: 0.25 -0.652268\n0.50 -0.121996\n0.75 0.372808\nName: 9664, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23919265689445926, std values: 0.9720826037724098, min values: -2.541693081833126, max values: 3.598076523509904, median values: -0.2113910089871289, and quantile values: 0.25 -0.870002\n0.50 -0.211391\n0.75 0.338915\nName: 9665, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23776899637920487, std values: 0.8811295510880724, min values: -2.632854336056873, max values: 3.784832159836258, median values: 0.2939127103452573, and quantile values: 0.25 -0.408188\n0.50 0.293913\n0.75 0.911920\nName: 9666, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36843787362631714, std values: 0.8300005039968678, min values: -1.851766999679794, max values: 3.0133870328644305, median values: 0.2803173979184395, and quantile values: 0.25 -0.232952\n0.50 0.280317\n0.75 0.960176\nName: 9667, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4258599827284053, std values: 0.8986250418524455, min values: -2.8121055320525654, max values: 5.0, median values: -0.5287344542700334, and quantile values: 0.25 -1.158044\n0.50 -0.528734\n0.75 0.174993\nName: 9668, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.699977125070506, std values: 0.8693243014075654, min values: -2.8889090019311845, max values: 5.0, median values: 0.8012551328362606, and quantile values: 0.25 0.165688\n0.50 0.801255\n0.75 1.271599\nName: 9669, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38544437764397915, std values: 0.830290984683701, min values: -1.989074010495094, max values: 3.0774992973297404, median values: 0.4489596315099814, and quantile values: 0.25 -0.182240\n0.50 0.448960\n0.75 0.997341\nName: 9670, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3242429953920782, std values: 0.9727049643507033, min values: -2.919359491767569, max values: 5.0, median values: -0.4244516037780372, and quantile values: 0.25 -0.978818\n0.50 -0.424452\n0.75 0.262771\nName: 9671, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17557532674537196, std values: 1.0334143219846268, min values: -2.497627580948261, max values: 3.135426854633533, median values: -0.14990524196738, and quantile values: 0.25 -0.972541\n0.50 -0.149905\n0.75 0.595867\nName: 9672, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3321707107156788, std values: 0.8840972617966163, min values: -2.5624611946462936, max values: 5.0, median values: 0.2907307699147256, and quantile values: 0.25 -0.290484\n0.50 0.290731\n0.75 0.934483\nName: 9673, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5289578086175833, std values: 1.0841289179264546, min values: -3.0223671288921072, max values: 3.336438412828754, median values: -0.5627972536370295, and quantile values: 0.25 -1.347197\n0.50 -0.562797\n0.75 0.141388\nName: 9674, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5574289383986287, std values: 0.9352081421675443, min values: -2.58513369695146, max values: 4.0, median values: -0.6218681792188704, and quantile values: 0.25 -1.288784\n0.50 -0.621868\n0.75 0.097529\nName: 9675, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7189511754106825, std values: 1.0780414184919553, min values: -2.8843374390620142, max values: 6.0, median values: 0.7050237928330586, and quantile values: 0.25 -0.096399\n0.50 0.705024\n0.75 1.621174\nName: 9676, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11480580697693596, std values: 0.7756448543713091, min values: -2.226424194672579, max values: 4.0, median values: 0.1346600188013546, and quantile values: 0.25 -0.393308\n0.50 0.134660\n0.75 0.607309\nName: 9677, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09939095131992468, std values: 0.928982607626529, min values: -2.2915911556076085, max values: 3.247416277295021, median values: -0.1410204135227264, and quantile values: 0.25 -0.768719\n0.50 -0.141020\n0.75 0.486287\nName: 9678, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39575399890719515, std values: 0.9016332112265232, min values: -2.09134137830184, max values: 3.000356517591168, median values: -0.4765646767171058, and quantile values: 0.25 -1.120057\n0.50 -0.476565\n0.75 0.226392\nName: 9679, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49029398579568884, std values: 0.9071870916603908, min values: -2.558791007225312, max values: 3.9905524164385566, median values: 0.521105779674173, and quantile values: 0.25 -0.006472\n0.50 0.521106\n0.75 1.070129\nName: 9680, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07861696577912197, std values: 0.9869469819693713, min values: -2.9278427058120164, max values: 6.0, median values: -0.2241040581107723, and quantile values: 0.25 -0.823359\n0.50 -0.224104\n0.75 0.607138\nName: 9681, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6387925754660448, std values: 1.534275742214743, min values: -2.8834699678265463, max values: 5.0, median values: -0.631763337257712, and quantile values: 0.25 -2.094541\n0.50 -0.631763\n0.75 0.367291\nName: 9682, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35953504741539294, std values: 0.8509105936541288, min values: -2.7884838087481176, max values: 6.0, median values: 0.3376903173909388, and quantile values: 0.25 -0.188432\n0.50 0.337690\n0.75 0.913406\nName: 9683, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02744070746560275, std values: 0.8528021640196141, min values: -2.572123985342288, max values: 4.0, median values: -0.0455382185820717, and quantile values: 0.25 -0.548602\n0.50 -0.045538\n0.75 0.562160\nName: 9684, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11768024897657883, std values: 0.8880931768715625, min values: -2.6320986139293034, max values: 3.0, median values: 0.2254057768224202, and quantile values: 0.25 -0.349498\n0.50 0.225406\n0.75 0.679581\nName: 9685, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3978434733779167, std values: 1.0093683406030733, min values: -2.58513369695146, max values: 3.3760121766849016, median values: 0.4567467814983977, and quantile values: 0.25 -0.371137\n0.50 0.456747\n0.75 1.205557\nName: 9686, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22186902731060826, std values: 0.8458894453235607, min values: -1.917922940170244, max values: 5.0, median values: 0.1308259602806742, and quantile values: 0.25 -0.385943\n0.50 0.130826\n0.75 0.790143\nName: 9687, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05593895581955827, std values: 0.7830124396452773, min values: -2.100754849305273, max values: 3.191712471143802, median values: -0.1309648415326692, and quantile values: 0.25 -0.604753\n0.50 -0.130965\n0.75 0.416268\nName: 9688, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35429951294093187, std values: 0.8424173493553984, min values: -2.662750916816848, max values: 5.0, median values: -0.4670045899709042, and quantile values: 0.25 -0.988973\n0.50 -0.467005\n0.75 0.169738\nName: 9689, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2170090723104278, std values: 0.8258607197390803, min values: -2.0787527795044047, max values: 6.0, median values: -0.238445054922267, and quantile values: 0.25 -0.797502\n0.50 -0.238445\n0.75 0.286967\nName: 9690, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3539642662445452, std values: 0.8688989011363989, min values: -2.316647126365877, max values: 3.047545592545638, median values: -0.4901651387808884, and quantile values: 0.25 -0.974526\n0.50 -0.490165\n0.75 0.132027\nName: 9691, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.004705260574114492, std values: 0.8461782664815047, min values: -2.0323067612940227, max values: 3.1888787873512885, median values: -0.0856416810678646, and quantile values: 0.25 -0.656895\n0.50 -0.085642\n0.75 0.579014\nName: 9692, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2044800173937685, std values: 0.9108724345789596, min values: -2.684072796644972, max values: 6.0, median values: -0.2955171398269914, and quantile values: 0.25 -0.821502\n0.50 -0.295517\n0.75 0.370428\nName: 9693, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14617223227079484, std values: 0.7996067933013047, min values: -2.72346435408924, max values: 4.0, median values: 0.1973935411265479, and quantile values: 0.25 -0.435658\n0.50 0.197394\n0.75 0.742601\nName: 9694, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.024698890410015287, std values: 0.8823657599980343, min values: -2.5743883495350026, max values: 5.0, median values: 0.1123818339189041, and quantile values: 0.25 -0.428824\n0.50 0.112382\n0.75 0.544861\nName: 9695, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15809183693427362, std values: 0.9462650574291194, min values: -2.5953860446419177, max values: 5.0, median values: -0.1652930288423144, and quantile values: 0.25 -0.727734\n0.50 -0.165293\n0.75 0.392211\nName: 9696, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3675155717449263, std values: 0.8785403887277408, min values: -2.3114390973914314, max values: 4.0, median values: -0.4248137041620939, and quantile values: 0.25 -1.040684\n0.50 -0.424814\n0.75 0.151986\nName: 9697, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13176395271700092, std values: 0.8409227133439084, min values: -2.2065783767301927, max values: 6.0, median values: 0.0889313689115367, and quantile values: 0.25 -0.411221\n0.50 0.088931\n0.75 0.617218\nName: 9698, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24713921543655915, std values: 0.7586708760534396, min values: -2.0884920198234647, max values: 3.0, median values: 0.2880577006108245, and quantile values: 0.25 -0.231113\n0.50 0.288058\n0.75 0.757493\nName: 9699, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06445054609964858, std values: 0.7896651152000459, min values: -2.077731782356476, max values: 6.0, median values: 0.0089812324370305, and quantile values: 0.25 -0.444112\n0.50 0.008981\n0.75 0.509826\nName: 9700, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1223749037439653, std values: 0.8951055029468509, min values: -2.053612783201618, max values: 4.0, median values: -0.1775010711151277, and quantile values: 0.25 -0.801065\n0.50 -0.177501\n0.75 0.528196\nName: 9701, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.029868522761256885, std values: 0.8079063990232979, min values: -2.264034258932616, max values: 4.243835016543704, median values: -0.0864918314692605, and quantile values: 0.25 -0.573227\n0.50 -0.086492\n0.75 0.441896\nName: 9702, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3153177997119989, std values: 0.8338513481483949, min values: -2.087432639025188, max values: 4.0, median values: -0.4153139562325461, and quantile values: 0.25 -0.922869\n0.50 -0.415314\n0.75 0.183276\nName: 9703, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7981593401608259, std values: 1.2668798606581815, min values: -2.2398683045325223, max values: 3.760287110694155, median values: 0.7602354752380369, and quantile values: 0.25 -0.177045\n0.50 0.760235\n0.75 1.835730\nName: 9704, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20250861491505417, std values: 0.8672247709968296, min values: -2.148634675597145, max values: 3.760287110694155, median values: -0.3069679212207217, and quantile values: 0.25 -0.831500\n0.50 -0.306968\n0.75 0.315729\nName: 9705, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3263661138900652, std values: 0.77530492467838, min values: -1.894371510692045, max values: 3.4566816047670264, median values: 0.3535203788128816, and quantile values: 0.25 -0.195225\n0.50 0.353520\n0.75 0.836882\nName: 9706, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09394732755410957, std values: 0.7472017656622212, min values: -2.688157591415518, max values: 5.0, median values: -0.1248009074438438, and quantile values: 0.25 -0.604408\n0.50 -0.124801\n0.75 0.355764\nName: 9707, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15602794513893944, std values: 0.850518380258342, min values: -2.732564679617164, max values: 3.349054967837474, median values: -0.2761934697271527, and quantile values: 0.25 -0.756580\n0.50 -0.276193\n0.75 0.375078\nName: 9708, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13238324121330877, std values: 0.958130736328028, min values: -2.643887016977268, max values: 6.0, median values: 0.2168562765122373, and quantile values: 0.25 -0.482159\n0.50 0.216856\n0.75 0.844253\nName: 9709, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4488862586348319, std values: 0.9438419110039481, min values: -2.891990595045606, max values: 6.0, median values: 0.5987976277848599, and quantile values: 0.25 -0.046529\n0.50 0.598798\n0.75 1.074328\nName: 9710, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6778233843324508, std values: 0.9265223637891693, min values: -2.5953860446419177, max values: 3.236860296211547, median values: -0.8176010644839921, and quantile values: 0.25 -1.454843\n0.50 -0.817601\n0.75 -0.099000\nName: 9711, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07551664361114889, std values: 0.8425024299304363, min values: -2.0595468593293136, max values: 3.9905524164385566, median values: 0.0770485450004269, and quantile values: 0.25 -0.527215\n0.50 0.077049\n0.75 0.599391\nName: 9712, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.009042293470658805, std values: 0.8970268878634889, min values: -2.579723791499676, max values: 4.0, median values: 0.07666185426269, and quantile values: 0.25 -0.557523\n0.50 0.076662\n0.75 0.567344\nName: 9713, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02456294550812753, std values: 0.7883325090116634, min values: -1.996697506499118, max values: 3.455472209455805, median values: -0.0905254683433585, and quantile values: 0.25 -0.561552\n0.50 -0.090525\n0.75 0.462394\nName: 9714, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6016569879640122, std values: 1.001883259574018, min values: -1.8733537209977629, max values: 5.0, median values: 0.6767613360778277, and quantile values: 0.25 -0.141778\n0.50 0.676761\n0.75 1.410308\nName: 9715, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16699814409463448, std values: 0.855630153703911, min values: -2.841647375415054, max values: 4.026668017837955, median values: 0.1647108067155933, and quantile values: 0.25 -0.395888\n0.50 0.164711\n0.75 0.681351\nName: 9716, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4521974874601034, std values: 1.0350121665008383, min values: -2.5832619696830608, max values: 6.0, median values: 0.4585838600112817, and quantile values: 0.25 -0.356138\n0.50 0.458584\n0.75 1.316052\nName: 9717, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5119473948454996, std values: 0.875770479242288, min values: -2.607565022042742, max values: 4.0, median values: -0.5979083011629103, and quantile values: 0.25 -1.095616\n0.50 -0.597908\n0.75 -0.007684\nName: 9718, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5979130253262543, std values: 0.9989542028878045, min values: -2.687115288423959, max values: 5.0, median values: -0.6223270639971936, and quantile values: 0.25 -1.237185\n0.50 -0.622327\n0.75 0.053369\nName: 9719, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07928892809483001, std values: 0.7520651518390292, min values: -2.5820330744015787, max values: 4.0, median values: -0.1325035930325784, and quantile values: 0.25 -0.556964\n0.50 -0.132504\n0.75 0.373721\nName: 9720, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20456600141886225, std values: 1.0735669773358385, min values: -2.981718296512785, max values: 5.0, median values: -0.2901884079832159, and quantile values: 0.25 -0.978741\n0.50 -0.290188\n0.75 0.533015\nName: 9721, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08774057010051034, std values: 0.8281523429028067, min values: -2.5501488616953263, max values: 3.247416277295021, median values: -0.1053118964773707, and quantile values: 0.25 -0.678679\n0.50 -0.105312\n0.75 0.488221\nName: 9722, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.610647971493833, std values: 0.8301996375262362, min values: -2.8680719719444903, max values: 3.0774992973297404, median values: -0.7503510779151129, and quantile values: 0.25 -1.193948\n0.50 -0.750351\n0.75 -0.157513\nName: 9723, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3787788912236839, std values: 0.9046029477870827, min values: -2.8121055320525654, max values: 5.0, median values: -0.5245585122039034, and quantile values: 0.25 -1.045237\n0.50 -0.524559\n0.75 0.210147\nName: 9724, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18556601018657654, std values: 0.8737389882973932, min values: -2.5631847770497496, max values: 4.243835016543704, median values: -0.2525222902897481, and quantile values: 0.25 -0.826781\n0.50 -0.252522\n0.75 0.342797\nName: 9725, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17881120056938268, std values: 1.0742535904445234, min values: -2.642042398333877, max values: 3.312693232344632, median values: -0.2541149890404549, and quantile values: 0.25 -0.955442\n0.50 -0.254115\n0.75 0.551067\nName: 9726, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8440564119295774, std values: 0.8375407354959812, min values: -2.732564679617164, max values: 3.405671179043623, median values: -1.0398793511047963, and quantile values: 0.25 -1.481576\n0.50 -1.039879\n0.75 -0.366199\nName: 9727, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2406466092151512, std values: 0.7931199367422209, min values: -2.4176069991382847, max values: 6.0, median values: 0.2899528092541785, and quantile values: 0.25 -0.311902\n0.50 0.289953\n0.75 0.760793\nName: 9728, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1580994506884548, std values: 0.8316867315759278, min values: -2.657870006553045, max values: 3.0, median values: -0.2214559808851431, and quantile values: 0.25 -0.653274\n0.50 -0.221456\n0.75 0.342973\nName: 9729, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24999401656013442, std values: 0.9889055680194845, min values: -2.584593648802428, max values: 3.477886732511886, median values: -0.3737711926688671, and quantile values: 0.25 -1.050557\n0.50 -0.373771\n0.75 0.374887\nName: 9730, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29643762952215996, std values: 0.7676552062520003, min values: -2.032741323324237, max values: 4.0, median values: 0.3282008132279564, and quantile values: 0.25 -0.202692\n0.50 0.328201\n0.75 0.762596\nName: 9731, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0680482314753398, std values: 0.9158401026047676, min values: -2.6404955031131814, max values: 6.0, median values: -0.1565300567149839, and quantile values: 0.25 -0.749394\n0.50 -0.156530\n0.75 0.562603\nName: 9732, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3607133453699385, std values: 1.382057659855201, min values: -2.6820581866633817, max values: 3.434669824302974, median values: -0.2344236249136022, and quantile values: 0.25 -1.826418\n0.50 -0.234424\n0.75 0.806722\nName: 9733, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19787297347263386, std values: 1.0356556930481835, min values: -2.309849165268195, max values: 5.0, median values: 0.1320267501649839, and quantile values: 0.25 -0.614056\n0.50 0.132027\n0.75 1.019200\nName: 9734, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3592887889292288, std values: 1.0246152225130263, min values: -2.605844844843939, max values: 4.0, median values: 0.4686329582752792, and quantile values: 0.25 -0.290125\n0.50 0.468633\n0.75 1.135735\nName: 9735, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4824647075556398, std values: 0.7465816450552979, min values: -2.3893642989164, max values: 3.9905524164385566, median values: 0.5755251788016804, and quantile values: 0.25 0.018247\n0.50 0.575525\n0.75 0.987671\nName: 9736, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5268280938188513, std values: 1.0369099588265145, min values: -2.673549169958716, max values: 6.0, median values: 0.6313017306193939, and quantile values: 0.25 -0.145534\n0.50 0.631302\n0.75 1.337569\nName: 9737, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09862952541910572, std values: 0.7965901487036806, min values: -2.6117120822772133, max values: 5.0, median values: -0.0816296048829675, and quantile values: 0.25 -0.654316\n0.50 -0.081630\n0.75 0.412713\nName: 9738, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16984530176598878, std values: 0.8790430721697947, min values: -2.7230534645798463, max values: 3.5908526919299577, median values: 0.2012021114702311, and quantile values: 0.25 -0.392330\n0.50 0.201202\n0.75 0.748800\nName: 9739, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08127301035169684, std values: 0.9335204978551986, min values: -2.5544460869462697, max values: 4.0, median values: 0.0682147774425599, and quantile values: 0.25 -0.637132\n0.50 0.068215\n0.75 0.748965\nName: 9740, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.00787980290911498, std values: 0.8869020121808865, min values: -2.9278427058120164, max values: 6.0, median values: 0.0538891069694423, and quantile values: 0.25 -0.575761\n0.50 0.053889\n0.75 0.569466\nName: 9741, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08584383072285263, std values: 0.9294467264428168, min values: -2.486556664247513, max values: 3.260388056018088, median values: 0.0885796519019899, and quantile values: 0.25 -0.501149\n0.50 0.088580\n0.75 0.690765\nName: 9742, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11060945861699237, std values: 0.9413636457023112, min values: -2.5293911731823453, max values: 3.379902545505621, median values: 0.1365221925842531, and quantile values: 0.25 -0.384794\n0.50 0.136522\n0.75 0.652444\nName: 9743, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28225244500704705, std values: 0.9195713702433351, min values: -2.57895707818966, max values: 6.0, median values: -0.4000840028643687, and quantile values: 0.25 -0.906300\n0.50 -0.400084\n0.75 0.292021\nName: 9744, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09123195924361835, std values: 0.8688256800800875, min values: -2.8350118695332047, max values: 5.0, median values: -0.1202226879074562, and quantile values: 0.25 -0.597480\n0.50 -0.120223\n0.75 0.411838\nName: 9745, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45274640202571503, std values: 0.8196455425081131, min values: -2.778044916685896, max values: 3.415255285860171, median values: -0.5083209196505768, and quantile values: 0.25 -0.967334\n0.50 -0.508321\n0.75 0.014843\nName: 9746, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.00824087145703321, std values: 1.0270965990113166, min values: -2.2837882496430213, max values: 4.026668017837955, median values: -0.0544571680255398, and quantile values: 0.25 -0.837664\n0.50 -0.054457\n0.75 0.745176\nName: 9747, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1304376094575822, std values: 0.7148385142515712, min values: -2.1675751318162506, max values: 2.777889329897348, median values: -0.1563139745529241, and quantile values: 0.25 -0.608674\n0.50 -0.156314\n0.75 0.302338\nName: 9748, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26633140799188587, std values: 0.7908101780265515, min values: -2.7428415536925543, max values: 3.1290445144064547, median values: 0.2214802021692632, and quantile values: 0.25 -0.231106\n0.50 0.221480\n0.75 0.787304\nName: 9749, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14457563075864444, std values: 0.7941172420741662, min values: -2.841647375415054, max values: 5.0, median values: -0.2223817730171463, and quantile values: 0.25 -0.693980\n0.50 -0.222382\n0.75 0.356938\nName: 9750, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10424443007670767, std values: 0.7133451947079384, min values: -2.3771558481240653, max values: 4.0, median values: 0.1458402988734216, and quantile values: 0.25 -0.365757\n0.50 0.145840\n0.75 0.570049\nName: 9751, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09371108446157257, std values: 0.9734554959776097, min values: -2.673549169958716, max values: 6.0, median values: -0.1115447834561517, and quantile values: 0.25 -0.683263\n0.50 -0.111545\n0.75 0.559551\nName: 9752, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20707672085468562, std values: 0.7737319120777861, min values: -2.841647375415054, max values: 3.047545592545638, median values: 0.1500723469643455, and quantile values: 0.25 -0.299074\n0.50 0.150072\n0.75 0.705695\nName: 9753, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6202040795754648, std values: 1.0612955483623046, min values: -2.0648102585467867, max values: 3.867701659180865, median values: 0.6518591021460567, and quantile values: 0.25 -0.171862\n0.50 0.651859\n0.75 1.443764\nName: 9754, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05228819677991516, std values: 0.7445098269783109, min values: -2.589966702820638, max values: 6.0, median values: -0.1177111210594474, and quantile values: 0.25 -0.557351\n0.50 -0.117711\n0.75 0.416118\nName: 9755, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27431373848004076, std values: 0.8622190434113907, min values: -2.5825978442440407, max values: 6.0, median values: -0.4317561561882743, and quantile values: 0.25 -0.941495\n0.50 -0.431756\n0.75 0.302017\nName: 9756, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07902573554859915, std values: 0.7920410326268218, min values: -2.0139736029884823, max values: 4.243835016543704, median values: 0.0496055269843065, and quantile values: 0.25 -0.434456\n0.50 0.049606\n0.75 0.575891\nName: 9757, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.48969327503168436, std values: 1.3746073253483422, min values: -2.1982946585701466, max values: 3.598076523509904, median values: 0.4127569944389536, and quantile values: 0.25 -0.631734\n0.50 0.412757\n0.75 1.727425\nName: 9758, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11487178303145935, std values: 1.029647019805808, min values: -2.087432639025188, max values: 4.0, median values: -0.2518117788863737, and quantile values: 0.25 -0.928787\n0.50 -0.251812\n0.75 0.621467\nName: 9759, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9637303297469677, std values: 1.2771809331630013, min values: -2.9029979285382743, max values: 3.9048392686725855, median values: -1.0037210787360134, and quantile values: 0.25 -2.160206\n0.50 -1.003721\n0.75 0.096721\nName: 9760, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23983138700357404, std values: 1.0250088212176685, min values: -2.6466193392086392, max values: 4.0, median values: -0.2596536272052595, and quantile values: 0.25 -0.923496\n0.50 -0.259654\n0.75 0.398256\nName: 9761, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0594813103772326, std values: 0.8609562066166083, min values: -2.8451834694312192, max values: 3.5021977227593246, median values: 0.0303986538827856, and quantile values: 0.25 -0.491626\n0.50 0.030399\n0.75 0.573617\nName: 9762, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3498416670418758, std values: 0.8914048911220467, min values: -2.982771139679002, max values: 4.0, median values: -0.3627555231658561, and quantile values: 0.25 -0.944554\n0.50 -0.362756\n0.75 0.196044\nName: 9763, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02183269488634832, std values: 0.8823198259275333, min values: -2.051448664269812, max values: 6.0, median values: -0.0983834844295941, and quantile values: 0.25 -0.572321\n0.50 -0.098383\n0.75 0.554374\nName: 9764, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24297192448025667, std values: 0.926115904024614, min values: -2.7257183488872623, max values: 5.0, median values: -0.3223651618454921, and quantile values: 0.25 -0.985403\n0.50 -0.322365\n0.75 0.403180\nName: 9765, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14482051649379016, std values: 0.9915428997698532, min values: -2.6800544037614658, max values: 4.0, median values: -0.1696073060469929, and quantile values: 0.25 -0.691669\n0.50 -0.169607\n0.75 0.436847\nName: 9766, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16192559210645874, std values: 1.127506934121733, min values: -2.7510671817729784, max values: 6.0, median values: -0.0521279788083204, and quantile values: 0.25 -0.874614\n0.50 -0.052128\n0.75 0.547907\nName: 9767, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13106179627507736, std values: 1.1261010355386918, min values: -2.9666813816765707, max values: 4.0, median values: -0.0489569087580908, and quantile values: 0.25 -0.902818\n0.50 -0.048957\n0.75 0.770762\nName: 9768, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15528217501712097, std values: 0.806953790555956, min values: -2.2837882496430213, max values: 4.0, median values: -0.1482622650214349, and quantile values: 0.25 -0.736128\n0.50 -0.148262\n0.75 0.332414\nName: 9769, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1265926817215031, std values: 0.8343926478532131, min values: -2.101645934107982, max values: 3.721862465295849, median values: -0.0845229827894934, and quantile values: 0.25 -0.729458\n0.50 -0.084523\n0.75 0.398139\nName: 9770, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12697097011637118, std values: 0.9571800673678897, min values: -2.156806272086999, max values: 3.1485882570365185, median values: -0.1874500611879881, and quantile values: 0.25 -0.904476\n0.50 -0.187450\n0.75 0.557240\nName: 9771, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18716370906622623, std values: 0.8377676506107117, min values: -2.801183634509044, max values: 5.0, median values: 0.2882012331491861, and quantile values: 0.25 -0.363880\n0.50 0.288201\n0.75 0.753822\nName: 9772, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3854341032463575, std values: 0.9034239273100969, min values: -2.6320986139293034, max values: 3.0, median values: -0.5234353483916461, and quantile values: 0.25 -1.102592\n0.50 -0.523435\n0.75 0.197634\nName: 9773, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4620355944457275, std values: 0.8571921720201829, min values: -2.0845218758782083, max values: 3.721862465295849, median values: 0.536381216721718, and quantile values: 0.25 -0.131526\n0.50 0.536381\n0.75 1.140161\nName: 9774, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0808700966175662, std values: 0.8903801774759379, min values: -2.02241615711966, max values: 3.236860296211547, median values: -0.1870411690054677, and quantile values: 0.25 -0.781806\n0.50 -0.187041\n0.75 0.516140\nName: 9775, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20379507038397626, std values: 1.250190620965618, min values: -2.92272757463548, max values: 6.0, median values: -0.1378224576847078, and quantile values: 0.25 -1.025004\n0.50 -0.137822\n0.75 0.733488\nName: 9776, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09079383657755456, std values: 0.758109298409545, min values: -2.710223074556336, max values: 4.0, median values: -0.1019063291960188, and quantile values: 0.25 -0.606591\n0.50 -0.101906\n0.75 0.363844\nName: 9777, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09386438545008759, std values: 0.9224103824880165, min values: -2.5624611946462936, max values: 5.0, median values: 0.1648378137752566, and quantile values: 0.25 -0.477545\n0.50 0.164838\n0.75 0.703471\nName: 9778, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5749329609757392, std values: 1.0474455837474004, min values: -2.9472833478224456, max values: 6.0, median values: -0.6144580734009699, and quantile values: 0.25 -1.287960\n0.50 -0.614458\n0.75 0.147636\nName: 9779, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0899077576685618, std values: 1.464761847497806, min values: -2.7510671817729784, max values: 6.0, median values: 0.2004434039694694, and quantile values: 0.25 -1.731110\n0.50 0.200443\n0.75 1.016291\nName: 9780, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05741195334470056, std values: 0.7992835343100093, min values: -2.90140378513671, max values: 2.783147521866149, median values: -0.1074122984433844, and quantile values: 0.25 -0.577191\n0.50 -0.107412\n0.75 0.409807\nName: 9781, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2753862358936838, std values: 1.0452002745563023, min values: -2.887007053971579, max values: 3.5908526919299577, median values: 0.3836599520310408, and quantile values: 0.25 -0.207043\n0.50 0.383660\n0.75 0.892092\nName: 9782, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3210421146869719, std values: 0.7927479237424513, min values: -2.8843374390620142, max values: 6.0, median values: 0.3696432202144263, and quantile values: 0.25 -0.200576\n0.50 0.369643\n0.75 0.874012\nName: 9783, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15516586619759187, std values: 0.7687082267381977, min values: -3.0687217584296813, max values: 3.5908526919299577, median values: 0.1788249569654501, and quantile values: 0.25 -0.320424\n0.50 0.178825\n0.75 0.624364\nName: 9784, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6850235313501438, std values: 0.9887648582425649, min values: -2.841647375415054, max values: 5.0, median values: 0.7452881206564579, and quantile values: 0.25 0.163287\n0.50 0.745288\n0.75 1.372866\nName: 9785, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26031666743902726, std values: 1.1127232355792287, min values: -2.673124659932621, max values: 6.0, median values: -0.3038725517407907, and quantile values: 0.25 -1.142019\n0.50 -0.303873\n0.75 0.429993\nName: 9786, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16868672604779428, std values: 1.1756859054648428, min values: -2.9265160609644223, max values: 6.0, median values: -0.1654367880806719, and quantile values: 0.25 -0.943705\n0.50 -0.165437\n0.75 0.634998\nName: 9787, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23415262882339644, std values: 0.9387703104056705, min values: -2.6586934669066777, max values: 3.379902545505621, median values: -0.3137321820835259, and quantile values: 0.25 -0.963103\n0.50 -0.313732\n0.75 0.431301\nName: 9788, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3092695842515758, std values: 0.8140298407407056, min values: -2.5832619696830608, max values: 6.0, median values: -0.4112725026079577, and quantile values: 0.25 -0.920090\n0.50 -0.411273\n0.75 0.208176\nName: 9789, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4258263591374801, std values: 0.8619169202212569, min values: -2.224331838081908, max values: 3.055874031381882, median values: -0.5557501906375322, and quantile values: 0.25 -1.119931\n0.50 -0.555750\n0.75 0.150504\nName: 9790, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32079089927380944, std values: 0.8117561026002428, min values: -2.7230534645798463, max values: 3.32433157891547, median values: 0.2853602018662651, and quantile values: 0.25 -0.143670\n0.50 0.285360\n0.75 0.834925\nName: 9791, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19219432484668061, std values: 0.8100837347034477, min values: -2.5832619696830608, max values: 6.0, median values: 0.2076417801774837, and quantile values: 0.25 -0.339119\n0.50 0.207642\n0.75 0.700851\nName: 9792, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38633035464850646, std values: 0.8209023776826438, min values: -3.002493140275396, max values: 5.0, median values: -0.4547539826726956, and quantile values: 0.25 -0.958828\n0.50 -0.454754\n0.75 0.086969\nName: 9793, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13113543740128492, std values: 0.8130807133668424, min values: -2.094787931821739, max values: 5.0, median values: -0.1874500611879881, and quantile values: 0.25 -0.679349\n0.50 -0.187450\n0.75 0.331079\nName: 9794, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05060702448879615, std values: 0.8679069212251114, min values: -2.3922473154067863, max values: 5.0, median values: -0.1024929320757352, and quantile values: 0.25 -0.734734\n0.50 -0.102493\n0.75 0.569761\nName: 9795, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03387217624149562, std values: 0.9349901640317725, min values: -2.6603025395856053, max values: 5.0, median values: 0.1272714516429612, and quantile values: 0.25 -0.536764\n0.50 0.127271\n0.75 0.623618\nName: 9796, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5114195290287172, std values: 0.9102294590423211, min values: -2.589966702820638, max values: 6.0, median values: 0.5552729525302558, and quantile values: 0.25 -0.148207\n0.50 0.555273\n0.75 1.227802\nName: 9797, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3423118847846111, std values: 0.8763135739570704, min values: -2.39180940730784, max values: 4.0, median values: 0.4005705226859448, and quantile values: 0.25 -0.242750\n0.50 0.400571\n0.75 0.891533\nName: 9798, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13273772919837584, std values: 0.8704782445203307, min values: -2.7542003929097176, max values: 5.0, median values: -0.186665822974854, and quantile values: 0.25 -0.689013\n0.50 -0.186666\n0.75 0.395326\nName: 9799, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23138412914286483, std values: 0.7420518342519341, min values: -2.245752867605861, max values: 4.026668017837955, median values: 0.2557444331698677, and quantile values: 0.25 -0.247749\n0.50 0.255744\n0.75 0.694400\nName: 9800, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5469935178644147, std values: 0.9186396940331213, min values: -2.684072796644972, max values: 6.0, median values: -0.6467430035343033, and quantile values: 0.25 -1.224994\n0.50 -0.646743\n0.75 0.023968\nName: 9801, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2922667827875215, std values: 0.923350107608682, min values: -2.608390851963037, max values: 5.0, median values: -0.2770986603505369, and quantile values: 0.25 -0.944846\n0.50 -0.277099\n0.75 0.325180\nName: 9802, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.750166698258483, std values: 1.1391234104969234, min values: -2.688157591415518, max values: 4.0, median values: -0.8430348291164469, and quantile values: 0.25 -1.604171\n0.50 -0.843035\n0.75 0.053723\nName: 9803, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13499688087878006, std values: 0.8156102065482081, min values: -2.5501488616953263, max values: 4.243835016543704, median values: -0.2176548406390737, and quantile values: 0.25 -0.674213\n0.50 -0.217655\n0.75 0.334963\nName: 9804, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2962674226295084, std values: 0.9174974188732076, min values: -2.5201815750705507, max values: 4.0, median values: -0.3632261589228843, and quantile values: 0.25 -0.900171\n0.50 -0.363226\n0.75 0.259703\nName: 9805, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12740608021590044, std values: 0.8982976309789388, min values: -2.510124273981921, max values: 4.243835016543704, median values: 0.2100860887717303, and quantile values: 0.25 -0.467496\n0.50 0.210086\n0.75 0.722576\nName: 9806, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10540322298300996, std values: 0.8758455286851493, min values: -2.622408470084112, max values: 3.0, median values: 0.1806721531651857, and quantile values: 0.25 -0.356234\n0.50 0.180672\n0.75 0.700036\nName: 9807, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21224141747719552, std values: 1.1163492361289105, min values: -2.607565022042742, max values: 4.0, median values: -0.2189955904008552, and quantile values: 0.25 -1.148074\n0.50 -0.218996\n0.75 0.614315\nName: 9808, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2522150742694129, std values: 0.9683887554886675, min values: -2.127515441234012, max values: 2.862340682373088, median values: -0.2846720477582597, and quantile values: 0.25 -1.065132\n0.50 -0.284672\n0.75 0.471223\nName: 9809, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01955659514880194, std values: 0.8223680603417042, min values: -2.662750916816848, max values: 5.0, median values: -0.0117229827211329, and quantile values: 0.25 -0.519996\n0.50 -0.011723\n0.75 0.538069\nName: 9810, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38946737253279573, std values: 0.8942000410666622, min values: -2.6800544037614658, max values: 4.0, median values: -0.4963844060195737, and quantile values: 0.25 -0.958529\n0.50 -0.496384\n0.75 0.160720\nName: 9811, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3943358509352813, std values: 0.9977379961946266, min values: -2.6800544037614658, max values: 4.0, median values: -0.3797084139984633, and quantile values: 0.25 -0.952113\n0.50 -0.379708\n0.75 0.278540\nName: 9812, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3369201862537434, std values: 0.9268049531078707, min values: -2.8246479422601736, max values: 5.0, median values: -0.3006564526083276, and quantile values: 0.25 -1.040021\n0.50 -0.300656\n0.75 0.352338\nName: 9813, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34216881114463477, std values: 0.752575342814664, min values: -2.5774281843044924, max values: 6.0, median values: 0.3725549348064705, and quantile values: 0.25 -0.109885\n0.50 0.372555\n0.75 0.799548\nName: 9814, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13392964058682463, std values: 0.8779179016228799, min values: -2.634919142586459, max values: 6.0, median values: -0.0874645185278859, and quantile values: 0.25 -0.676019\n0.50 -0.087465\n0.75 0.397511\nName: 9815, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.5492149910556354, std values: 1.4892623377845529, min values: -3.0148736195915964, max values: 3.598076523509904, median values: -2.1323052317104474, and quantile values: 0.25 -2.476391\n0.50 -2.132305\n0.75 -1.700508\nName: 9816, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18448584779738839, std values: 0.7967547384148207, min values: -2.1548749249906303, max values: 5.0, median values: 0.1426676827470578, and quantile values: 0.25 -0.332825\n0.50 0.142668\n0.75 0.685494\nName: 9817, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23695719574516125, std values: 0.993510334894946, min values: -2.5695487141177, max values: 4.0, median values: 0.2905088842514148, and quantile values: 0.25 -0.247962\n0.50 0.290509\n0.75 0.845040\nName: 9818, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18845959282888303, std values: 0.7839043032871859, min values: -2.572123985342288, max values: 4.0, median values: 0.2103157722434847, and quantile values: 0.25 -0.344478\n0.50 0.210316\n0.75 0.666574\nName: 9819, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5440996498190737, std values: 0.8291039888958771, min values: -2.73836943861057, max values: 3.2328207660681025, median values: -0.6546969605451991, and quantile values: 0.25 -1.128971\n0.50 -0.654697\n0.75 -0.081582\nName: 9820, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24510328313661242, std values: 0.8010930567017961, min values: -2.261283194360832, max values: 3.709787027503053, median values: -0.2974434602580284, and quantile values: 0.25 -0.789053\n0.50 -0.297443\n0.75 0.248376\nName: 9821, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5300397888633839, std values: 1.0436843811439798, min values: -2.8246479422601736, max values: 6.0, median values: -0.696715106349649, and quantile values: 0.25 -1.361947\n0.50 -0.696715\n0.75 0.127760\nName: 9822, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22827003173890098, std values: 0.9357591475873931, min values: -2.2777369566329506, max values: 3.147276669305989, median values: -0.2691050759466878, and quantile values: 0.25 -0.936608\n0.50 -0.269105\n0.75 0.333087\nName: 9823, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7989256032275347, std values: 0.9924540665656035, min values: -2.137685238195388, max values: 3.709787027503053, median values: 0.8841809322749811, and quantile values: 0.25 0.111240\n0.50 0.884181\n0.75 1.559260\nName: 9824, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4691109182085993, std values: 0.8689508923533514, min values: -2.7648443048846945, max values: 3.434669824302974, median values: -0.6147546457137635, and quantile values: 0.25 -1.108071\n0.50 -0.614755\n0.75 0.033990\nName: 9825, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2425806341955176, std values: 1.1161305560515058, min values: -2.657750824678472, max values: 5.0, median values: 0.366507138974569, and quantile values: 0.25 -0.523110\n0.50 0.366507\n0.75 1.117842\nName: 9826, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3134724593760408, std values: 0.9222272761631873, min values: -2.8350118695332047, max values: 5.0, median values: -0.2857294710343924, and quantile values: 0.25 -0.846265\n0.50 -0.285729\n0.75 0.262629\nName: 9827, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.627096768038795, std values: 1.0479218353672881, min values: -2.8327898928872086, max values: 4.0, median values: -0.6866752301868735, and quantile values: 0.25 -1.342231\n0.50 -0.686675\n0.75 0.067799\nName: 9828, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11655561295636792, std values: 0.8436436053990068, min values: -2.643887016977268, max values: 6.0, median values: -0.0699442179889212, and quantile values: 0.25 -0.630667\n0.50 -0.069944\n0.75 0.414437\nName: 9829, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09473093827735606, std values: 0.8846504521047084, min values: -2.02241615711966, max values: 6.0, median values: -0.2204626256325109, and quantile values: 0.25 -0.751008\n0.50 -0.220463\n0.75 0.461943\nName: 9830, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07721775224297912, std values: 0.7749358718729596, min values: -2.299460330888208, max values: 4.0, median values: 0.0615892796889727, and quantile values: 0.25 -0.427169\n0.50 0.061589\n0.75 0.532856\nName: 9831, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47274664042278997, std values: 1.0182561595074833, min values: -2.919359491767569, max values: 6.0, median values: 0.4522516917737452, and quantile values: 0.25 -0.272386\n0.50 0.452252\n0.75 1.266799\nName: 9832, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.581794901938706, std values: 0.841094365938561, min values: -2.620939317041317, max values: 4.0, median values: -0.7307460514740292, and quantile values: 0.25 -1.227885\n0.50 -0.730746\n0.75 -0.064614\nName: 9833, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3940214370080836, std values: 1.0917444088643422, min values: -2.9029979285382743, max values: 3.0, median values: -0.1953602094880161, and quantile values: 0.25 -0.983107\n0.50 -0.195360\n0.75 0.348493\nName: 9834, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18502071139967066, std values: 0.8243490337372252, min values: -2.087432639025188, max values: 4.0, median values: -0.2606070927429609, and quantile values: 0.25 -0.769355\n0.50 -0.260607\n0.75 0.334136\nName: 9835, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0506550773689092, std values: 1.2405378402015947, min values: -3.101800431129944, max values: 6.0, median values: -1.2193844527384403, and quantile values: 0.25 -2.093752\n0.50 -1.219384\n0.75 -0.051108\nName: 9836, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2290056944209126, std values: 0.9071532965111682, min values: -2.6635706018350787, max values: 3.2328207660681025, median values: -0.3028579057687964, and quantile values: 0.25 -0.784849\n0.50 -0.302858\n0.75 0.361785\nName: 9837, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04140277346183406, std values: 0.8360970963676934, min values: -2.64479559868397, max values: 6.0, median values: 0.0787606180911505, and quantile values: 0.25 -0.423426\n0.50 0.078761\n0.75 0.554213\nName: 9838, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.007620877423152178, std values: 0.8951631658724902, min values: -2.7428415536925543, max values: 5.0, median values: 0.0325977538740953, and quantile values: 0.25 -0.526645\n0.50 0.032598\n0.75 0.555851\nName: 9839, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13109161003334785, std values: 0.811650251124136, min values: -2.1103582417935702, max values: 6.0, median values: 0.177861229250458, and quantile values: 0.25 -0.425325\n0.50 0.177861\n0.75 0.657439\nName: 9840, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0549929450969297, std values: 0.7425673824029289, min values: -2.461308921153724, max values: 3.132053530264631, median values: -0.1314370567012323, and quantile values: 0.25 -0.540671\n0.50 -0.131437\n0.75 0.396855\nName: 9841, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.702816575791468, std values: 1.0442217231520254, min values: -2.419133598913117, max values: 3.3483277116524426, median values: 0.6610353564041215, and quantile values: 0.25 -0.100246\n0.50 0.661035\n0.75 1.579617\nName: 9842, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0324033024732619, std values: 0.976902287521828, min values: -2.084038461791521, max values: 5.0, median values: -0.0594995011973647, and quantile values: 0.25 -0.765706\n0.50 -0.059500\n0.75 0.690915\nName: 9843, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1357588129505581, std values: 0.7643182254308754, min values: -1.9964905264151551, max values: 3.162318759909359, median values: -0.1981888861138283, and quantile values: 0.25 -0.673852\n0.50 -0.198189\n0.75 0.344678\nName: 9844, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0008489733076322771, std values: 0.7131025731866584, min values: -2.15645541897611, max values: 3.191712471143802, median values: 0.0310417903710416, and quantile values: 0.25 -0.465347\n0.50 0.031042\n0.75 0.434534\nName: 9845, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10155612275575414, std values: 1.0874074444904627, min values: -3.236860296211546, max values: 3.349054967837474, median values: -0.0461447204076576, and quantile values: 0.25 -0.975589\n0.50 -0.046145\n0.75 0.709338\nName: 9846, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41098036612453936, std values: 0.8578865500319806, min values: -2.5624611946462936, max values: 5.0, median values: -0.464709915261621, and quantile values: 0.25 -0.993926\n0.50 -0.464710\n0.75 0.109219\nName: 9847, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12932220626846713, std values: 0.8071591632420467, min values: -2.209826040384377, max values: 2.883469967826547, median values: -0.2044355362620597, and quantile values: 0.25 -0.731040\n0.50 -0.204436\n0.75 0.384056\nName: 9848, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11359749316297389, std values: 1.0415634915071268, min values: -2.710223074556336, max values: 4.026668017837955, median values: -0.0190032697057131, and quantile values: 0.25 -0.631945\n0.50 -0.019003\n0.75 0.749175\nName: 9849, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.004573443368502934, std values: 0.970654068620411, min values: -2.608390851963037, max values: 5.0, median values: 0.1294046479628154, and quantile values: 0.25 -0.507945\n0.50 0.129405\n0.75 0.622241\nName: 9850, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26296393112601496, std values: 0.8275900192810606, min values: -2.6117120822772133, max values: 5.0, median values: -0.3592875836406639, and quantile values: 0.25 -0.826297\n0.50 -0.359288\n0.75 0.206460\nName: 9851, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34231782967644525, std values: 0.9339563397041071, min values: -1.97960662713072, max values: 3.026950214607353, median values: 0.3002218881940381, and quantile values: 0.25 -0.382356\n0.50 0.300222\n0.75 1.040799\nName: 9852, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43782170140701426, std values: 0.92772591512201, min values: -3.2372475247926937, max values: 3.258347009006034, median values: 0.4701087798855931, and quantile values: 0.25 -0.233899\n0.50 0.470109\n0.75 1.166755\nName: 9853, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12833320821796712, std values: 0.8882489795270525, min values: -2.841647375415054, max values: 5.0, median values: -0.0575108018945286, and quantile values: 0.25 -0.708273\n0.50 -0.057511\n0.75 0.489392\nName: 9854, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31184200002816753, std values: 1.023019682847841, min values: -2.642042398333877, max values: 3.0, median values: -0.2988271401118592, and quantile values: 0.25 -0.965796\n0.50 -0.298827\n0.75 0.300020\nName: 9855, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40706715121435033, std values: 0.8974104879402471, min values: -2.1165253231698347, max values: 3.0, median values: -0.5098256867957988, and quantile values: 0.25 -1.138081\n0.50 -0.509826\n0.75 0.175413\nName: 9856, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2533110948411736, std values: 0.817857811849654, min values: -2.4536054974529624, max values: 6.0, median values: -0.2539865736785823, and quantile values: 0.25 -0.844980\n0.50 -0.253987\n0.75 0.257479\nName: 9857, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.08137477526018, std values: 1.2933147510927576, min values: -2.727901130262228, max values: 4.0, median values: -1.6970522895331734, and quantile values: 0.25 -2.140406\n0.50 -1.697052\n0.75 -0.084287\nName: 9858, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05910824094323235, std values: 0.8482985876692196, min values: -2.1644103278868894, max values: 3.260388056018088, median values: -0.0449868678275507, and quantile values: 0.25 -0.631475\n0.50 -0.044987\n0.75 0.454816\nName: 9859, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35516682236549174, std values: 0.9323799945055943, min values: -1.9952780808332, max values: 5.0, median values: 0.3169448735624736, and quantile values: 0.25 -0.339166\n0.50 0.316945\n0.75 1.080408\nName: 9860, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.120657562137364, std values: 0.758804998568665, min values: -2.90140378513671, max values: 3.721862465295849, median values: -0.1849286586518362, and quantile values: 0.25 -0.626239\n0.50 -0.184929\n0.75 0.384787\nName: 9861, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0698899759975824, std values: 1.2715242355382688, min values: -2.9029979285382743, max values: 3.518664430018096, median values: -1.1947346312457523, and quantile values: 0.25 -2.165106\n0.50 -1.194735\n0.75 -0.150169\nName: 9862, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1627174285896466, std values: 0.813744243196973, min values: -2.476285024008804, max values: 3.455472209455805, median values: -0.1635384718249239, and quantile values: 0.25 -0.746861\n0.50 -0.163538\n0.75 0.371269\nName: 9863, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4696975434220037, std values: 1.1054287150250406, min values: -2.132840460960708, max values: 3.4758930087721422, median values: 0.5454092206551567, and quantile values: 0.25 -0.427298\n0.50 0.545409\n0.75 1.336079\nName: 9864, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12869348319188934, std values: 0.8746917019144558, min values: -2.0590878109320845, max values: 6.0, median values: -9.453801800396874e-05, and quantile values: 0.25 -0.466475\n0.50 -0.000095\n0.75 0.658773\nName: 9865, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20199475994605404, std values: 1.033817728324247, min values: -2.739804196611005, max values: 6.0, median values: 0.2373737940161723, and quantile values: 0.25 -0.556430\n0.50 0.237374\n0.75 0.990871\nName: 9866, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09736452879642903, std values: 0.9080685789811235, min values: -2.510124273981921, max values: 4.243835016543704, median values: -0.1446713808272149, and quantile values: 0.25 -0.669520\n0.50 -0.144671\n0.75 0.487993\nName: 9867, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3425035691043271, std values: 0.9680763314112899, min values: -2.8531572940820533, max values: 3.306454397423372, median values: -0.4699558747407097, and quantile values: 0.25 -1.029578\n0.50 -0.469956\n0.75 0.287084\nName: 9868, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16984081074454174, std values: 0.7993696190667641, min values: -2.264034258932616, max values: 3.2266531185902125, median values: 0.1112122555478751, and quantile values: 0.25 -0.372656\n0.50 0.111212\n0.75 0.695543\nName: 9869, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20971103485075424, std values: 0.8186855473087766, min values: -2.525881048269423, max values: 3.4758930087721422, median values: 0.3046614163323814, and quantile values: 0.25 -0.355383\n0.50 0.304661\n0.75 0.819881\nName: 9870, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3818669361310891, std values: 0.8608944979019547, min values: -2.891990595045606, max values: 6.0, median values: -0.3891493055580544, and quantile values: 0.25 -0.902942\n0.50 -0.389149\n0.75 0.102931\nName: 9871, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18656293733078066, std values: 0.8943769699453867, min values: -1.9902700503252555, max values: 4.243835016543704, median values: -0.2665931044624877, and quantile values: 0.25 -0.885917\n0.50 -0.266593\n0.75 0.480499\nName: 9872, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.044996765942527, std values: 0.9140705637370105, min values: -2.64479559868397, max values: 6.0, median values: 0.0759437446885802, and quantile values: 0.25 -0.466580\n0.50 0.075944\n0.75 0.635076\nName: 9873, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15599914617654737, std values: 0.8537522642395705, min values: -2.72346435408924, max values: 4.0, median values: -0.1805601843931357, and quantile values: 0.25 -0.669558\n0.50 -0.180560\n0.75 0.335063\nName: 9874, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17957572667327162, std values: 0.8195395553225848, min values: -2.58513369695146, max values: 4.0, median values: -0.1192796134102018, and quantile values: 0.25 -0.697954\n0.50 -0.119280\n0.75 0.342709\nName: 9875, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7759617285427916, std values: 0.8963360803359464, min values: -2.643887016977268, max values: 6.0, median values: -0.9263313933739789, and quantile values: 0.25 -1.457099\n0.50 -0.926331\n0.75 -0.210625\nName: 9876, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11263148875475668, std values: 0.9669715805329808, min values: -2.589966702820638, max values: 6.0, median values: 0.0346078216025361, and quantile values: 0.25 -0.606293\n0.50 0.034608\n0.75 0.787240\nName: 9877, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17752753681591457, std values: 0.9252389634002594, min values: -2.572123985342288, max values: 4.0, median values: -0.229043666567061, and quantile values: 0.25 -0.822099\n0.50 -0.229044\n0.75 0.362903\nName: 9878, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05384819499845352, std values: 0.8823958782176392, min values: -2.482931728382393, max values: 3.760287110694155, median values: -0.0764132734166426, and quantile values: 0.25 -0.683645\n0.50 -0.076413\n0.75 0.528069\nName: 9879, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06595934094353462, std values: 0.7858024330056276, min values: -2.100754849305273, max values: 3.096891534584617, median values: 0.0947390713821679, and quantile values: 0.25 -0.481814\n0.50 0.094739\n0.75 0.628788\nName: 9880, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16306304155223647, std values: 0.9020012807558943, min values: -2.841647375415054, max values: 3.176672644814091, median values: 0.200415305910088, and quantile values: 0.25 -0.500003\n0.50 0.200415\n0.75 0.790181\nName: 9881, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12934187717736212, std values: 0.8829886840033897, min values: -2.065607809839877, max values: 4.0, median values: 0.1667307754623387, and quantile values: 0.25 -0.486171\n0.50 0.166731\n0.75 0.737368\nName: 9882, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13367724518954893, std values: 0.7882742855183069, min values: -2.7314147016889114, max values: 3.0046625681201315, median values: 0.053770763110948, and quantile values: 0.25 -0.385736\n0.50 0.053771\n0.75 0.614555\nName: 9883, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2706075048349214, std values: 0.8798185174946089, min values: -2.2915911556076085, max values: 4.278004674434932, median values: 0.3248805799978249, and quantile values: 0.25 -0.365904\n0.50 0.324881\n0.75 0.962246\nName: 9884, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22783153492844335, std values: 0.8703877329428463, min values: -2.4823451998031074, max values: 3.627976272701048, median values: -0.2959321263108538, and quantile values: 0.25 -0.756046\n0.50 -0.295932\n0.75 0.309165\nName: 9885, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13395440113239274, std values: 1.0760867514364556, min values: -2.8327898928872086, max values: 4.0, median values: 0.2706473530990803, and quantile values: 0.25 -0.556173\n0.50 0.270647\n0.75 0.888720\nName: 9886, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3221367381582304, std values: 1.1353022649290772, min values: -2.120681876014718, max values: 3.236860296211547, median values: 0.1697376847340401, and quantile values: 0.25 -0.577126\n0.50 0.169738\n0.75 1.172431\nName: 9887, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45798239473994756, std values: 0.9677516306882511, min values: -2.8547740449753216, max values: 5.0, median values: -0.4246014651194091, and quantile values: 0.25 -1.140885\n0.50 -0.424601\n0.75 0.203084\nName: 9888, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4020971289641805, std values: 0.816106576111702, min values: -1.8839678422241863, max values: 3.630507857092792, median values: 0.4305890003860221, and quantile values: 0.25 -0.154855\n0.50 0.430589\n0.75 0.923931\nName: 9889, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0004104519197760468, std values: 0.9846793212202055, min values: -2.5953860446419177, max values: 5.0, median values: 0.0438087457446918, and quantile values: 0.25 -0.566360\n0.50 0.043809\n0.75 0.609072\nName: 9890, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17772544992396172, std values: 0.9779130524532396, min values: -2.9472833478224456, max values: 6.0, median values: -0.1991290009813918, and quantile values: 0.25 -0.798108\n0.50 -0.199129\n0.75 0.368173\nName: 9891, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.020725713596064014, std values: 0.7880774153756333, min values: -1.946330687176648, max values: 6.0, median values: 0.0478308340841952, and quantile values: 0.25 -0.537687\n0.50 0.047831\n0.75 0.537751\nName: 9892, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06481433028189935, std values: 1.0613489475716282, min values: -2.5293911731823453, max values: 3.0, median values: 0.0268047375585985, and quantile values: 0.25 -0.753493\n0.50 0.026805\n0.75 0.676808\nName: 9893, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30177615727603657, std values: 0.7968841441063472, min values: -2.949186837165601, max values: 4.0, median values: -0.3361746364240802, and quantile values: 0.25 -0.832123\n0.50 -0.336175\n0.75 0.217437\nName: 9894, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4977803380686361, std values: 0.7859765244149582, min values: -2.160205614279508, max values: 3.0, median values: -0.5282911152467488, and quantile values: 0.25 -1.085379\n0.50 -0.528291\n0.75 -0.036594\nName: 9895, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1107243827065502, std values: 1.0493016328829579, min values: -2.789830374413015, max values: 3.8226908388056136, median values: -0.0737896494323058, and quantile values: 0.25 -0.880848\n0.50 -0.073790\n0.75 0.679199\nName: 9896, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19830061540227106, std values: 1.1145014038733048, min values: -2.6820581866633817, max values: 3.3760121766849016, median values: -0.2296017432500347, and quantile values: 0.25 -1.009697\n0.50 -0.229602\n0.75 0.567556\nName: 9897, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04676188687325036, std values: 0.9163746416137961, min values: -2.891990595045606, max values: 6.0, median values: -0.0951066221254112, and quantile values: 0.25 -0.641547\n0.50 -0.095107\n0.75 0.586193\nName: 9898, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.026006889919355264, std values: 0.7703271012801609, min values: -2.116947891343001, max values: 3.5908526919299577, median values: 0.0552168289578939, and quantile values: 0.25 -0.499354\n0.50 0.055217\n0.75 0.497615\nName: 9899, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.009454359839258923, std values: 0.8622204412409723, min values: -2.5953860446419177, max values: 5.0, median values: -0.0572579636181421, and quantile values: 0.25 -0.502220\n0.50 -0.057258\n0.75 0.521149\nName: 9900, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03710695796265913, std values: 0.889625330416917, min values: -2.475778245535816, max values: 3.630507857092792, median values: 0.0592627390944245, and quantile values: 0.25 -0.558317\n0.50 0.059263\n0.75 0.574818\nName: 9901, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08250099337159016, std values: 0.9566520772341589, min values: -2.687115288423959, max values: 5.0, median values: 0.0096902984850461, and quantile values: 0.25 -0.726124\n0.50 0.009690\n0.75 0.545903\nName: 9902, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14904780454234523, std values: 0.8706545271736565, min values: -3.074005993202373, max values: 3.528773265847577, median values: 0.2481464539925854, and quantile values: 0.25 -0.331109\n0.50 0.248146\n0.75 0.684515\nName: 9903, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1624113224109059, std values: 0.8688069102324893, min values: -2.048935494746508, max values: 3.709787027503053, median values: 0.0749495036949817, and quantile values: 0.25 -0.457849\n0.50 0.074950\n0.75 0.753218\nName: 9904, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7656588078764437, std values: 1.060888222669623, min values: -2.011274058715068, max values: 5.0, median values: 0.8155229230558281, and quantile values: 0.25 -0.043619\n0.50 0.815523\n0.75 1.688830\nName: 9905, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2001774048927092, std values: 1.0390118195713227, min values: -2.8531572940820533, max values: 3.3014869995452325, median values: -0.3568936354609039, and quantile values: 0.25 -1.040392\n0.50 -0.356894\n0.75 0.489452\nName: 9906, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12972881226422212, std values: 0.8383182205076753, min values: -2.212004168819108, max values: 3.670892362631932, median values: -0.2334374307617784, and quantile values: 0.25 -0.746743\n0.50 -0.233437\n0.75 0.405903\nName: 9907, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.059905073979989926, std values: 1.1018115578491738, min values: -2.673549169958716, max values: 6.0, median values: -0.0189323690189541, and quantile values: 0.25 -0.752725\n0.50 -0.018932\n0.75 0.956659\nName: 9908, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05934533263663652, std values: 0.8388804782437784, min values: -2.039577292369421, max values: 3.155379154255993, median values: -0.138275812677589, and quantile values: 0.25 -0.627178\n0.50 -0.138276\n0.75 0.462762\nName: 9909, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0010407207584171242, std values: 0.8404015977318561, min values: -2.1201603002813605, max values: 3.415255285860171, median values: -0.0581131039573191, and quantile values: 0.25 -0.583253\n0.50 -0.058113\n0.75 0.556687\nName: 9910, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2594322899475415, std values: 0.9868030004568745, min values: -2.4502625580775623, max values: 5.0, median values: -0.3682517696133783, and quantile values: 0.25 -0.971696\n0.50 -0.368252\n0.75 0.268709\nName: 9911, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31687945856724525, std values: 0.7910795774687626, min values: -2.4536054974529624, max values: 6.0, median values: 0.3013168030196392, and quantile values: 0.25 -0.181080\n0.50 0.301317\n0.75 0.816743\nName: 9912, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0024646378890623697, std values: 0.7919680319790176, min values: -2.662750916816848, max values: 5.0, median values: -0.0667773514544192, and quantile values: 0.25 -0.520104\n0.50 -0.066777\n0.75 0.496261\nName: 9913, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11824275300268977, std values: 0.7692392707346168, min values: -2.0456684461002883, max values: 6.0, median values: -0.2123820220853591, and quantile values: 0.25 -0.672844\n0.50 -0.212382\n0.75 0.363324\nName: 9914, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39068430864739, std values: 0.8558023512116709, min values: -2.0198682482092503, max values: 6.0, median values: 0.4464873570808471, and quantile values: 0.25 -0.237482\n0.50 0.446487\n0.75 1.076320\nName: 9915, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3197020399329198, std values: 1.0611403569230433, min values: -2.879968592907284, max values: 4.0, median values: 0.4722936460921113, and quantile values: 0.25 -0.325993\n0.50 0.472294\n0.75 1.061110\nName: 9916, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41036758501244447, std values: 0.9372161019588302, min values: -2.537573835824454, max values: 6.0, median values: 0.3533008781241296, and quantile values: 0.25 -0.294752\n0.50 0.353301\n0.75 1.109293\nName: 9917, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30019178752692427, std values: 1.0368287295433067, min values: -2.876502173242568, max values: 3.3636961113187773, median values: 0.4132795147880427, and quantile values: 0.25 -0.357297\n0.50 0.413280\n0.75 1.047047\nName: 9918, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.039930945783477556, std values: 0.8882009487662456, min values: -2.87684958111886, max values: 3.709787027503053, median values: -0.0939645306765776, and quantile values: 0.25 -0.642534\n0.50 -0.093965\n0.75 0.521685\nName: 9919, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08360540121594331, std values: 1.0184485586673826, min values: -2.693453432157769, max values: 3.349054967837474, median values: -0.1089337826360017, and quantile values: 0.25 -0.683437\n0.50 -0.108934\n0.75 0.552609\nName: 9920, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.830610652290766, std values: 1.2231203940976878, min values: -3.307038206418975, max values: 3.721862465295849, median values: 0.8936415645178379, and quantile values: 0.25 0.094347\n0.50 0.893642\n0.75 1.713154\nName: 9921, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32813020959507894, std values: 0.928604481752811, min values: -2.5213149333948146, max values: 3.319774799707247, median values: -0.4221917261204283, and quantile values: 0.25 -1.069961\n0.50 -0.422192\n0.75 0.318306\nName: 9922, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1386833528087697, std values: 0.7854565390674842, min values: -2.406113529328762, max values: 3.0, median values: -0.2282188142411356, and quantile values: 0.25 -0.664244\n0.50 -0.228219\n0.75 0.359669\nName: 9923, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.025380035938607878, std values: 0.9294814742873876, min values: -2.605844844843939, max values: 4.0, median values: 0.1459516347700656, and quantile values: 0.25 -0.539659\n0.50 0.145952\n0.75 0.649172\nName: 9924, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.032624851192009266, std values: 1.0250033839436368, min values: -2.643887016977268, max values: 6.0, median values: -0.0676606026856323, and quantile values: 0.25 -0.757266\n0.50 -0.067661\n0.75 0.676912\nName: 9925, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32809705699651903, std values: 0.8085568740896921, min values: -2.2915911556076085, max values: 3.455472209455805, median values: -0.4523702409438265, and quantile values: 0.25 -0.887878\n0.50 -0.452370\n0.75 0.150880\nName: 9926, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5711712602547807, std values: 1.3067858570869133, min values: -2.928515832252388, max values: 5.0, median values: 0.7155142082582187, and quantile values: 0.25 -0.166414\n0.50 0.715514\n0.75 1.604085\nName: 9927, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0776954407098451, std values: 0.8371482839865683, min values: -1.9878938033360591, max values: 2.975729140892597, median values: -0.1043150204071567, and quantile values: 0.25 -0.663261\n0.50 -0.104315\n0.75 0.453653\nName: 9928, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5528347785359559, std values: 0.8808936405140981, min values: -2.071166690331113, max values: 3.5021977227593246, median values: 0.6069394768177866, and quantile values: 0.25 -0.031841\n0.50 0.606939\n0.75 1.136186\nName: 9929, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49837431586643166, std values: 0.9923478052157083, min values: -2.579952672199424, max values: 6.0, median values: 0.5050378977593448, and quantile values: 0.25 -0.215598\n0.50 0.505038\n0.75 1.233876\nName: 9930, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05394298022503246, std values: 0.700137044479206, min values: -2.3922473154067863, max values: 5.0, median values: -0.0491795866501996, and quantile values: 0.25 -0.505127\n0.50 -0.049180\n0.75 0.383878\nName: 9931, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03272614283997004, std values: 0.9301090212389513, min values: -3.2372475247926937, max values: 3.670892362631932, median values: -0.0575108018945286, and quantile values: 0.25 -0.621756\n0.50 -0.057511\n0.75 0.677120\nName: 9932, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11746966147729447, std values: 0.8681557106441777, min values: -2.0148114180740584, max values: 3.241738645014612, median values: 0.0476886203532576, and quantile values: 0.25 -0.547385\n0.50 0.047689\n0.75 0.729889\nName: 9933, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1944905650188191, std values: 0.8621985076134394, min values: -2.9090251609554527, max values: 6.0, median values: -0.2746189984527498, and quantile values: 0.25 -0.731363\n0.50 -0.274619\n0.75 0.340549\nName: 9934, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19233273494628153, std values: 0.7998327094732781, min values: -2.7884838087481176, max values: 6.0, median values: -0.2656717850608069, and quantile values: 0.25 -0.710735\n0.50 -0.265672\n0.75 0.251869\nName: 9935, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05952637473412091, std values: 0.8371500393920914, min values: -2.1120852507752783, max values: 6.0, median values: -0.132551278974661, and quantile values: 0.25 -0.655185\n0.50 -0.132551\n0.75 0.478275\nName: 9936, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.031324711761062995, std values: 0.7296117285679926, min values: -3.0223671288921072, max values: 3.281452258958016, median values: -0.0038287990782772, and quantile values: 0.25 -0.440265\n0.50 -0.003829\n0.75 0.465408\nName: 9937, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46086723968563553, std values: 0.8026475769178811, min values: -2.783691185534105, max values: 2.631344392051695, median values: -0.6054000679741405, and quantile values: 0.25 -1.039702\n0.50 -0.605400\n0.75 -0.006381\nName: 9938, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28402747475827045, std values: 0.9238954409210438, min values: -2.12073996675014, max values: 3.2936960268109283, median values: 0.2639093865254643, and quantile values: 0.25 -0.393793\n0.50 0.263909\n0.75 0.908825\nName: 9939, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11148493790587954, std values: 0.9352145164645539, min values: -2.5820330744015787, max values: 4.0, median values: -0.176564767586449, and quantile values: 0.25 -0.745761\n0.50 -0.176565\n0.75 0.500800\nName: 9940, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3607535362781604, std values: 0.8914382265827329, min values: -2.837386543755612, max values: 5.0, median values: -0.4156375622784528, and quantile values: 0.25 -0.996546\n0.50 -0.415638\n0.75 0.219785\nName: 9941, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.028395414252143078, std values: 0.8858432618443045, min values: -2.521882829270847, max values: 4.0, median values: 0.0661149472544859, and quantile values: 0.25 -0.531339\n0.50 0.066115\n0.75 0.593042\nName: 9942, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13056332165139842, std values: 0.8836576167894904, min values: -2.688157591415518, max values: 3.2071942083719924, median values: 0.1032075018541539, and quantile values: 0.25 -0.448630\n0.50 0.103208\n0.75 0.686212\nName: 9943, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40259769635245807, std values: 0.79322327743288, min values: -1.998227699014374, max values: 5.0, median values: 0.4404636274944145, and quantile values: 0.25 -0.100474\n0.50 0.440464\n0.75 0.902900\nName: 9944, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08165908945135424, std values: 0.8532956935408776, min values: -2.245752867605861, max values: 2.9804248838044773, median values: -0.1978309582357034, and quantile values: 0.25 -0.716083\n0.50 -0.197831\n0.75 0.490041\nName: 9945, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21416404511806827, std values: 0.8762409281263513, min values: -2.8451834694312192, max values: 3.0, median values: 0.1371782650809394, and quantile values: 0.25 -0.405690\n0.50 0.137178\n0.75 0.785561\nName: 9946, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15616663079562607, std values: 0.8331849468514766, min values: -2.0340473177314244, max values: 3.050873041333768, median values: -0.2357696499022632, and quantile values: 0.25 -0.745034\n0.50 -0.235770\n0.75 0.407126\nName: 9947, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29026015635043567, std values: 0.7909440212432663, min values: -2.0688202952550605, max values: 5.0, median values: -0.3697697511785253, and quantile values: 0.25 -0.851415\n0.50 -0.369770\n0.75 0.176335\nName: 9948, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02496417488604293, std values: 0.7953675247486675, min values: -2.1227739687253626, max values: 3.630507857092792, median values: 0.100711171163517, and quantile values: 0.25 -0.523516\n0.50 0.100711\n0.75 0.556687\nName: 9949, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1229142600937862, std values: 0.8415149759273834, min values: -2.73836943861057, max values: 3.147276669305989, median values: 0.2306452959973675, and quantile values: 0.25 -0.324582\n0.50 0.230645\n0.75 0.623059\nName: 9950, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1389875032326473, std values: 0.7734973040114439, min values: -2.589966702820638, max values: 6.0, median values: 0.0922220194588414, and quantile values: 0.25 -0.360844\n0.50 0.092222\n0.75 0.611697\nName: 9951, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01966228513267887, std values: 0.9923645557108789, min values: -2.732564679617164, max values: 3.518664430018096, median values: -0.0880466538424603, and quantile values: 0.25 -0.786016\n0.50 -0.088047\n0.75 0.740788\nName: 9952, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42576672520103565, std values: 0.8061093387834299, min values: -2.10832026762241, max values: 4.026668017837955, median values: 0.5112060714491666, and quantile values: 0.25 -0.118697\n0.50 0.511206\n0.75 1.002484\nName: 9953, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.008426610083244163, std values: 0.7977729342433154, min values: -2.0202919896885287, max values: 6.0, median values: -0.0856141109749524, and quantile values: 0.25 -0.548923\n0.50 -0.085614\n0.75 0.475030\nName: 9954, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34100660286573664, std values: 1.0929977317917685, min values: -2.8467638118011016, max values: 5.0, median values: -0.2748889784442227, and quantile values: 0.25 -0.988255\n0.50 -0.274889\n0.75 0.388792\nName: 9955, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22033106734296917, std values: 0.8349439948747394, min values: -2.7884838087481176, max values: 6.0, median values: -0.1909870910151431, and quantile values: 0.25 -0.724648\n0.50 -0.190987\n0.75 0.272648\nName: 9956, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5325778526831674, std values: 0.8880011990606033, min values: -2.3785517846956816, max values: 3.3483277116524426, median values: 0.625715398772863, and quantile values: 0.25 -0.058113\n0.50 0.625715\n0.75 1.164148\nName: 9957, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4360378490922235, std values: 0.7724611605437068, min values: -3.215720519334632, max values: 3.3337116327022187, median values: -0.5334905997206552, and quantile values: 0.25 -0.982348\n0.50 -0.533491\n0.75 -0.019263\nName: 9958, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.007641781279442382, std values: 1.0069186356664588, min values: -2.116008317253216, max values: 5.0, median values: -0.0776562251744461, and quantile values: 0.25 -0.842524\n0.50 -0.077656\n0.75 0.719709\nName: 9959, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4545671972944372, std values: 0.8540427347339578, min values: -2.558791007225312, max values: 3.197902420311553, median values: 0.549390128223662, and quantile values: 0.25 -0.093635\n0.50 0.549390\n0.75 1.017837\nName: 9960, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7731343407317867, std values: 0.9314099910835238, min values: -2.3344113078233786, max values: 3.349054967837474, median values: 0.8608255370190783, and quantile values: 0.25 0.083645\n0.50 0.860826\n0.75 1.538862\nName: 9961, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32419310085419756, std values: 0.8256073254707655, min values: -2.157865952462814, max values: 3.022367128892113, median values: 0.3725549348064705, and quantile values: 0.25 -0.215453\n0.50 0.372555\n0.75 0.847207\nName: 9962, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17816847763950192, std values: 0.9689998553658419, min values: -2.8164291268114208, max values: 3.4217036547572275, median values: -0.0884890027192258, and quantile values: 0.25 -0.695905\n0.50 -0.088489\n0.75 0.423055\nName: 9963, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32215445114332625, std values: 0.755520904293391, min values: -2.564449278715455, max values: 3.197902420311553, median values: 0.2422142491399948, and quantile values: 0.25 -0.158205\n0.50 0.242214\n0.75 0.763173\nName: 9964, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12663282403500095, std values: 0.7982432178974941, min values: -2.5422910691068967, max values: 3.0, median values: 0.1653169884780684, and quantile values: 0.25 -0.447480\n0.50 0.165317\n0.75 0.727047\nName: 9965, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1051889450423314, std values: 0.79856239697954, min values: -2.5569229852416258, max values: 4.0, median values: 0.1323537934452136, and quantile values: 0.25 -0.407245\n0.50 0.132354\n0.75 0.618585\nName: 9966, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30152976489049843, std values: 0.801178825867271, min values: -2.56026492390943, max values: 4.0, median values: -0.3545029596681403, and quantile values: 0.25 -0.838547\n0.50 -0.354503\n0.75 0.156955\nName: 9967, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0966801881549397, std values: 0.868073931416964, min values: -2.215291168881953, max values: 2.971200445600723, median values: -0.1725322410731486, and quantile values: 0.25 -0.776396\n0.50 -0.172532\n0.75 0.531639\nName: 9968, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1490092809465956, std values: 0.781013627688216, min values: -1.9145140322412408, max values: 3.0315977762793005, median values: 0.0743279957252097, and quantile values: 0.25 -0.408323\n0.50 0.074328\n0.75 0.673107\nName: 9969, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.620544413615738, std values: 0.9037732053290749, min values: -2.810662060852592, max values: 3.281452258958016, median values: -0.6959950138844648, and quantile values: 0.25 -1.351714\n0.50 -0.695995\n0.75 -0.013023\nName: 9970, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5022125529321568, std values: 0.9596219993152638, min values: -2.037986255847039, max values: 4.0, median values: 0.5502423475092939, and quantile values: 0.25 -0.188011\n0.50 0.550242\n0.75 1.247792\nName: 9971, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5646107976218855, std values: 1.1987650046068847, min values: -2.879968592907284, max values: 4.0, median values: -0.4371723278154038, and quantile values: 0.25 -1.732837\n0.50 -0.437172\n0.75 0.368176\nName: 9972, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07747248248428754, std values: 0.8051684039288833, min values: -2.8998169811239416, max values: 3.3636961113187773, median values: 0.1381068025152453, and quantile values: 0.25 -0.460580\n0.50 0.138107\n0.75 0.635109\nName: 9973, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05337989491263712, std values: 0.8958026987529353, min values: -2.56026492390943, max values: 4.0, median values: -0.0337145051277608, and quantile values: 0.25 -0.710614\n0.50 -0.033715\n0.75 0.500814\nName: 9974, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43302829642270446, std values: 1.0819829584200222, min values: -2.0148114180740584, max values: 3.667275230673496, median values: 0.2471578549566389, and quantile values: 0.25 -0.331399\n0.50 0.247158\n0.75 1.168825\nName: 9975, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3517344952590417, std values: 0.8450711759419158, min values: -2.372995607737588, max values: 5.0, median values: 0.3616331290194488, and quantile values: 0.25 -0.180672\n0.50 0.361633\n0.75 0.877241\nName: 9976, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38288350508820423, std values: 0.9742631130921162, min values: -2.7428415536925543, max values: 3.627976272701048, median values: 0.326021851541549, and quantile values: 0.25 -0.313414\n0.50 0.326022\n0.75 1.055288\nName: 9977, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45309188698204383, std values: 1.2309411993673256, min values: -2.638186942019407, max values: 4.278004674434932, median values: -0.5235791262019414, and quantile values: 0.25 -1.578189\n0.50 -0.523579\n0.75 0.501926\nName: 9978, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9943292012056208, std values: 1.3657268977267931, min values: -2.727901130262228, max values: 4.0, median values: -1.6877491624678858, and quantile values: 0.25 -2.140874\n0.50 -1.687749\n0.75 0.059906\nName: 9979, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14582481433110595, std values: 0.8711754085077892, min values: -2.5624611946462936, max values: 5.0, median values: -0.0491795866501996, and quantile values: 0.25 -0.711374\n0.50 -0.049180\n0.75 0.435476\nName: 9980, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16901252269965442, std values: 0.8351078567518401, min values: -2.110869107491898, max values: 6.0, median values: 0.0885084698995216, and quantile values: 0.25 -0.374900\n0.50 0.088508\n0.75 0.675187\nName: 9981, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4636524637039484, std values: 0.8787454426464414, min values: -2.5682675825126706, max values: 5.0, median values: -0.6025694484259783, and quantile values: 0.25 -1.173008\n0.50 -0.602569\n0.75 0.130120\nName: 9982, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.2884073937105207, std values: 1.1220313101643302, min values: -3.21990804472754, max values: 5.0, median values: -1.6841270299109818, and quantile values: 0.25 -2.137148\n0.50 -1.684127\n0.75 -0.491595\nName: 9983, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1808238118138583, std values: 0.9568254745610876, min values: -2.7091408192744373, max values: 4.0, median values: -0.2653779948086692, and quantile values: 0.25 -0.967553\n0.50 -0.265378\n0.75 0.486318\nName: 9984, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07374570486478921, std values: 0.8518701343934875, min values: -2.8531572940820533, max values: 3.017846660960028, median values: -0.0727403430518827, and quantile values: 0.25 -0.624163\n0.50 -0.072740\n0.75 0.425596\nName: 9985, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28938351711428095, std values: 0.7265656590432449, min values: -2.374446373878101, max values: 4.0, median values: 0.2563794097429549, and quantile values: 0.25 -0.152524\n0.50 0.256379\n0.75 0.748127\nName: 9986, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0012560256019108651, std values: 0.8116840745115128, min values: -2.0763692711860644, max values: 5.0, median values: -0.0762199360237679, and quantile values: 0.25 -0.521338\n0.50 -0.076220\n0.75 0.472016\nName: 9987, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 1.0381782550680383, std values: 1.0404415812900267, min values: -2.439930808627264, max values: 4.243835016543704, median values: 1.095487116208643, and quantile values: 0.25 0.262258\n0.50 1.095487\n0.75 1.857043\nName: 9988, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5231566197408977, std values: 0.9007379635365761, min values: -2.6652153608723106, max values: 3.1841025362512254, median values: 0.5294313399454632, and quantile values: 0.25 -0.108102\n0.50 0.529431\n0.75 1.228822\nName: 9989, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11492154048670086, std values: 1.0291724928491663, min values: -2.6820581866633817, max values: 3.319774799707247, median values: -0.0859457304429292, and quantile values: 0.25 -0.684620\n0.50 -0.085946\n0.75 0.596149\nName: 9990, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07599897278234237, std values: 0.9756872196192766, min values: -2.641174291463747, max values: 6.0, median values: 0.0768641247232414, and quantile values: 0.25 -0.550588\n0.50 0.076864\n0.75 0.717757\nName: 9991, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07847805799655044, std values: 0.794095893505171, min values: -2.093964118245613, max values: 3.9905524164385566, median values: 0.0691512091993377, and quantile values: 0.25 -0.435930\n0.50 0.069151\n0.75 0.548346\nName: 9992, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08833490017021987, std values: 0.9129736014797246, min values: -2.960014365184806, max values: 6.0, median values: -0.0613937192171403, and quantile values: 0.25 -0.674974\n0.50 -0.061394\n0.75 0.496197\nName: 9993, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47334430430210556, std values: 1.035741536300247, min values: -2.710223074556336, max values: 4.0, median values: 0.4343519457642832, and quantile values: 0.25 -0.330032\n0.50 0.434352\n0.75 1.357643\nName: 9994, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04806250374013103, std values: 0.9960377744989148, min values: -2.0905892697928663, max values: 3.5427287984042666, median values: -0.0671361659452026, and quantile values: 0.25 -0.863445\n0.50 -0.067136\n0.75 0.680123\nName: 9995, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3910004148794734, std values: 0.7585882588972515, min values: -2.0681185926384043, max values: 3.1485882570365185, median values: 0.3988819031934539, and quantile values: 0.25 -0.063857\n0.50 0.398882\n0.75 0.874809\nName: 9996, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2599597584889478, std values: 1.005904351002719, min values: -2.6685266729136536, max values: 5.0, median values: 0.2754496863145431, and quantile values: 0.25 -0.508531\n0.50 0.275450\n0.75 1.096292\nName: 9997, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1865888083379803, std values: 0.7859247319264179, min values: -2.04551391420568, max values: 5.0, median values: 0.1557405531087486, and quantile values: 0.25 -0.332069\n0.50 0.155741\n0.75 0.673585\nName: 9998, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38064670159237274, std values: 0.9881975146314519, min values: -2.7542003929097176, max values: 5.0, median values: -0.4797577024442591, and quantile values: 0.25 -1.071369\n0.50 -0.479758\n0.75 0.242458\nName: 9999, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.330331659940899, std values: 0.9440342315200877, min values: -2.7510671817729784, max values: 6.0, median values: 0.3750776415602029, and quantile values: 0.25 -0.240117\n0.50 0.375078\n0.75 0.962683\nName: 10000, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2881620695842016, std values: 1.2300979282011286, min values: -2.610097161345549, max values: 4.0, median values: 0.5648086671160363, and quantile values: 0.25 -0.239352\n0.50 0.564809\n0.75 1.079126\nName: 10001, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20636513370845402, std values: 0.9917186868131183, min values: -2.8663054413554843, max values: 6.0, median values: 0.3606240492069167, and quantile values: 0.25 -0.317061\n0.50 0.360624\n0.75 0.899181\nName: 10002, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22057219865877298, std values: 1.072297781219313, min values: -3.598076523509849, max values: 3.867701659180865, median values: 0.4360211865681183, and quantile values: 0.25 -0.503188\n0.50 0.436021\n0.75 1.023327\nName: 10003, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25173646096192026, std values: 1.047095383214739, min values: -2.657870006553045, max values: 3.17157439250477, median values: 0.2467436282671723, and quantile values: 0.25 -0.446098\n0.50 0.246744\n0.75 0.965796\nName: 10004, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.059981396921713184, std values: 0.7896353050647806, min values: -2.226424194672579, max values: 4.0, median values: -0.1053681948973282, and quantile values: 0.25 -0.582404\n0.50 -0.105368\n0.75 0.401687\nName: 10005, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10256077372233953, std values: 0.9242985757872393, min values: -2.267175988438518, max values: 5.0, median values: 0.0783338826273144, and quantile values: 0.25 -0.580317\n0.50 0.078334\n0.75 0.758249\nName: 10006, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08735638114977096, std values: 0.9003949720733772, min values: -2.6115251494731915, max values: 5.0, median values: -0.026260952572773, and quantile values: 0.25 -0.586971\n0.50 -0.026261\n0.75 0.709428\nName: 10007, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.156064496419084, std values: 0.954221392628762, min values: -3.215720519334632, max values: 3.4217036547572275, median values: 0.2189860896229996, and quantile values: 0.25 -0.415108\n0.50 0.218986\n0.75 0.778606\nName: 10008, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.319841137204332, std values: 1.3897477615702767, min values: -2.944950884974346, max values: 3.518664430018096, median values: -1.989943634409112, and quantile values: 0.25 -2.288936\n0.50 -1.989944\n0.75 -0.045566\nName: 10009, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28232305588804635, std values: 0.9250282877526677, min values: -2.267175988438518, max values: 5.0, median values: -0.3786255562770854, and quantile values: 0.25 -1.022649\n0.50 -0.378626\n0.75 0.328296\nName: 10010, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10350269376201042, std values: 0.7682714674380987, min values: -2.264034258932616, max values: 3.3636961113187773, median values: 0.1587398075978675, and quantile values: 0.25 -0.415067\n0.50 0.158740\n0.75 0.617751\nName: 10011, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19758712269938536, std values: 0.9212799876686372, min values: -2.521882829270847, max values: 4.0, median values: -0.1604072267689662, and quantile values: 0.25 -0.850499\n0.50 -0.160407\n0.75 0.398733\nName: 10012, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.511776431272175, std values: 1.455108819272121, min values: -2.684072796644972, max values: 6.0, median values: 0.702695450114967, and quantile values: 0.25 -0.379306\n0.50 0.702695\n0.75 1.485051\nName: 10013, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0830837835494147, std values: 1.3492547792654128, min values: -2.9029979285382743, max values: 3.090297571450676, median values: -1.689733852331878, and quantile values: 0.25 -2.276158\n0.50 -1.689734\n0.75 0.039254\nName: 10014, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2810863890600709, std values: 0.7675492710860491, min values: -2.579952672199424, max values: 6.0, median values: 0.3632849940476906, and quantile values: 0.25 -0.204154\n0.50 0.363285\n0.75 0.769428\nName: 10015, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7410516758906611, std values: 0.8458798393535811, min values: -2.2915911556076085, max values: 3.055874031381882, median values: 0.8295779927649322, and quantile values: 0.25 0.177453\n0.50 0.829578\n0.75 1.331463\nName: 10016, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20075341926436802, std values: 0.7691095398129444, min values: -2.525362520654854, max values: 5.0, median values: -0.2224249337547299, and quantile values: 0.25 -0.712032\n0.50 -0.222425\n0.75 0.236037\nName: 10017, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3616732260138502, std values: 0.8055117445680389, min values: -2.139311372893009, max values: 3.630507857092792, median values: -0.4253310870786588, and quantile values: 0.25 -0.942740\n0.50 -0.425331\n0.75 0.111212\nName: 10018, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3078021428558899, std values: 0.8091398605007235, min values: -2.688157591415518, max values: 5.0, median values: 0.3563143559371686, and quantile values: 0.25 -0.211874\n0.50 0.356314\n0.75 0.808756\nName: 10019, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04161374530827472, std values: 0.8673330447105279, min values: -2.710223074556336, max values: 4.0, median values: -0.1279271289346334, and quantile values: 0.25 -0.676732\n0.50 -0.127927\n0.75 0.545564\nName: 10020, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07957946903878124, std values: 0.8239275948966445, min values: -2.0446222759012818, max values: 4.0, median values: 0.0781442270045278, and quantile values: 0.25 -0.447898\n0.50 0.078144\n0.75 0.605974\nName: 10021, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7649414944483334, std values: 0.8364139524752642, min values: -2.119639300682046, max values: 5.0, median values: 0.8877283691071193, and quantile values: 0.25 0.250473\n0.50 0.887728\n0.75 1.359167\nName: 10022, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20086644579599103, std values: 0.8927656065370655, min values: -2.5906203367024587, max values: 3.8226908388056136, median values: -0.3022967699031531, and quantile values: 0.25 -0.892233\n0.50 -0.302297\n0.75 0.428800\nName: 10023, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.345657399896701, std values: 1.198297152284652, min values: -2.7211321814067784, max values: 3.216771431244405, median values: 0.5213494390836657, and quantile values: 0.25 -0.449752\n0.50 0.521349\n0.75 1.263011\nName: 10024, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08180483252097925, std values: 1.1198228833755797, min values: -2.4536054974529624, max values: 6.0, median values: 0.0728507925635516, and quantile values: 0.25 -0.883784\n0.50 0.072851\n0.75 0.953141\nName: 10025, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1559546174908462, std values: 0.7979823567646612, min values: -2.302765800096369, max values: 3.3636961113187773, median values: -0.1784375302785584, and quantile values: 0.25 -0.734796\n0.50 -0.178438\n0.75 0.364359\nName: 10026, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5725701376066213, std values: 0.9624531733792494, min values: -2.733804248449497, max values: 3.434669824302974, median values: 0.7122573686976132, and quantile values: 0.25 0.036939\n0.50 0.712257\n0.75 1.245573\nName: 10027, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21257651573730232, std values: 0.8171569914263459, min values: -2.4860368126531567, max values: 5.0, median values: -0.1864880116929075, and quantile values: 0.25 -0.831422\n0.50 -0.186488\n0.75 0.333314\nName: 10028, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03274918734410634, std values: 0.7979885535931784, min values: -2.116947891343001, max values: 3.2266531185902125, median values: -0.0473812693516952, and quantile values: 0.25 -0.500104\n0.50 -0.047381\n0.75 0.569316\nName: 10029, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.013447435155768975, std values: 0.9269854201499715, min values: -2.739804196611005, max values: 6.0, median values: 0.0442976985953101, and quantile values: 0.25 -0.518184\n0.50 0.044298\n0.75 0.556964\nName: 10030, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.016175273001553275, std values: 0.9036704093102454, min values: -2.605844844843939, max values: 4.0, median values: -0.1072696721022254, and quantile values: 0.25 -0.701546\n0.50 -0.107270\n0.75 0.610900\nName: 10031, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31630279127676414, std values: 0.9542633575001684, min values: -2.579723791499676, max values: 4.0, median values: 0.3502516566123587, and quantile values: 0.25 -0.225601\n0.50 0.350252\n0.75 0.941152\nName: 10032, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28317457588563605, std values: 0.9316504074213545, min values: -2.267175988438518, max values: 5.0, median values: -0.3555589535643389, and quantile values: 0.25 -1.045114\n0.50 -0.355559\n0.75 0.365257\nName: 10033, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.039797912718686504, std values: 1.0481963583477996, min values: -2.891990595045606, max values: 6.0, median values: 0.0211517695311, and quantile values: 0.25 -0.815325\n0.50 0.021152\n0.75 0.768355\nName: 10034, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24377928746020575, std values: 0.9635852599227412, min values: -2.39180940730784, max values: 4.0, median values: -0.3237573720706659, and quantile values: 0.25 -1.035047\n0.50 -0.323757\n0.75 0.424659\nName: 10035, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12477837057852725, std values: 0.8462078551055503, min values: -2.2915911556076085, max values: 3.17157439250477, median values: 0.0334727078671881, and quantile values: 0.25 -0.459450\n0.50 0.033473\n0.75 0.685804\nName: 10036, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16694687052916707, std values: 0.8910597005913332, min values: -2.876502173242568, max values: 3.241738645014612, median values: 0.2350464136054635, and quantile values: 0.25 -0.324773\n0.50 0.235046\n0.75 0.725816\nName: 10037, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.020884265940255442, std values: 1.305909022596905, min values: -2.8563982925340614, max values: 5.0, median values: 0.0609546853806638, and quantile values: 0.25 -0.793233\n0.50 0.060955\n0.75 0.964480\nName: 10038, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03864656952029045, std values: 0.8838310945234165, min values: -3.990552416438729, max values: 3.2906806286429298, median values: 0.1025430515693382, and quantile values: 0.25 -0.582013\n0.50 0.102543\n0.75 0.591631\nName: 10039, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23928282316415858, std values: 1.0462822555518236, min values: -2.8663054413554843, max values: 6.0, median values: 0.3257314404605484, and quantile values: 0.25 -0.389787\n0.50 0.325731\n0.75 0.985745\nName: 10040, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24092453847950548, std values: 0.8368877836610235, min values: -2.269702087276979, max values: 3.5581019918925243, median values: 0.3065467787930201, and quantile values: 0.25 -0.332971\n0.50 0.306547\n0.75 0.819112\nName: 10041, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23716447227445644, std values: 1.199111848650621, min values: -2.5759052915632985, max values: 3.4758930087721422, median values: -0.3008845567184192, and quantile values: 0.25 -1.295801\n0.50 -0.300885\n0.75 0.715763\nName: 10042, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08818350890680794, std values: 0.9060371614656104, min values: -2.6685266729136536, max values: 6.0, median values: -0.0602097581464329, and quantile values: 0.25 -0.758514\n0.50 -0.060210\n0.75 0.574438\nName: 10043, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.053046610939956426, std values: 0.7138732993271136, min values: -2.4564928597243227, max values: 4.0, median values: 0.0460799514134962, and quantile values: 0.25 -0.402851\n0.50 0.046080\n0.75 0.502757\nName: 10044, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6515977419334809, std values: 0.8275730244138044, min values: -2.6850842010492566, max values: 6.0, median values: 0.716558603186433, and quantile values: 0.25 0.112120\n0.50 0.716559\n0.75 1.234230\nName: 10045, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2420002346229414, std values: 0.9808785226523425, min values: -1.9691533142049409, max values: 3.197902420311553, median values: 0.1374673569977513, and quantile values: 0.25 -0.530636\n0.50 0.137467\n0.75 0.920552\nName: 10046, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44870672625253444, std values: 1.486303455277162, min values: -2.9265160609644223, max values: 6.0, median values: -0.3902712677966545, and quantile values: 0.25 -1.866943\n0.50 -0.390271\n0.75 0.627671\nName: 10047, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2615983384823595, std values: 1.0797652656339582, min values: -2.6320986139293034, max values: 3.2328207660681025, median values: 0.4781824884078681, and quantile values: 0.25 -0.327622\n0.50 0.478182\n0.75 1.008321\nName: 10048, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2237131790900363, std values: 1.057462285538803, min values: -3.002493140275396, max values: 5.0, median values: 0.0815347517349457, and quantile values: 0.25 -0.637470\n0.50 0.081535\n0.75 1.023566\nName: 10049, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04947138699798662, std values: 0.7779097833638557, min values: -2.374446373878101, max values: 4.0, median values: -0.1506015404585336, and quantile values: 0.25 -0.580187\n0.50 -0.150602\n0.75 0.449478\nName: 10050, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01904713437568882, std values: 0.9627825098666329, min values: -2.19583558726078, max values: 6.0, median values: -0.019523340873319, and quantile values: 0.25 -0.772695\n0.50 -0.019523\n0.75 0.725331\nName: 10051, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.014553360858558276, std values: 0.973959992562229, min values: -3.2266531185902174, max values: 3.082096909284949, median values: 0.094462443201233, and quantile values: 0.25 -0.680421\n0.50 0.094462\n0.75 0.674890\nName: 10052, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06158672988568815, std values: 0.8809331858969639, min values: -2.475778245535816, max values: 4.0, median values: -0.0122828424657568, and quantile values: 0.25 -0.690045\n0.50 -0.012283\n0.75 0.560390\nName: 10053, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7382632502307357, std values: 1.02242322653713, min values: -2.837386543755612, max values: 4.0, median values: -0.8511168241045354, and quantile values: 0.25 -1.489212\n0.50 -0.851117\n0.75 -0.058996\nName: 10054, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10267684559946348, std values: 1.1119473338464334, min values: -2.955641696055872, max values: 3.0046625681201315, median values: 0.0936049416808263, and quantile values: 0.25 -0.823260\n0.50 0.093605\n0.75 0.699975\nName: 10055, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6586373386976385, std values: 0.8043118065857056, min values: -2.245752867605861, max values: 3.760287110694155, median values: 0.7204747809207509, and quantile values: 0.25 0.143864\n0.50 0.720475\n0.75 1.204916\nName: 10056, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6352891138586155, std values: 0.909819711301418, min values: -2.6115251494731915, max values: 5.0, median values: 0.7014253871385232, and quantile values: 0.25 -0.020965\n0.50 0.701425\n0.75 1.299730\nName: 10057, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1634295319472541, std values: 0.8655879178314754, min values: -2.14258071674473, max values: 6.0, median values: -0.2135265507033594, and quantile values: 0.25 -0.791612\n0.50 -0.213527\n0.75 0.403210\nName: 10058, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20148334283515426, std values: 1.7777586704049329, min values: -2.9265160609644223, max values: 6.0, median values: 0.436596684873544, and quantile values: 0.25 -1.681752\n0.50 0.436597\n0.75 1.636672\nName: 10059, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21690796913614133, std values: 1.0615126031199418, min values: -2.7648443048846945, max values: 3.667275230673496, median values: -0.3896847263431318, and quantile values: 0.25 -1.044763\n0.50 -0.389685\n0.75 0.463844\nName: 10060, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.049462370751559584, std values: 0.7514988737565558, min values: -2.5859127503381347, max values: 3.0, median values: -0.0183146670051134, and quantile values: 0.25 -0.466633\n0.50 -0.018315\n0.75 0.537019\nName: 10061, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4792884453790626, std values: 0.9919153867963515, min values: -2.475800558910462, max values: 3.867701659180865, median values: -0.563969022696815, and quantile values: 0.25 -1.305991\n0.50 -0.563969\n0.75 0.196146\nName: 10062, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2803155001734187, std values: 0.7631135811755371, min values: -1.915769678776797, max values: 5.0, median values: 0.3440530158334667, and quantile values: 0.25 -0.237422\n0.50 0.344053\n0.75 0.793571\nName: 10063, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1838924220140968, std values: 0.8240447947304875, min values: -2.0683523803658423, max values: 3.0876051304901218, median values: 0.0592627390944245, and quantile values: 0.25 -0.388257\n0.50 0.059263\n0.75 0.761234\nName: 10064, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14486277522162788, std values: 0.9414298079133717, min values: -2.687115288423959, max values: 5.0, median values: 0.0664381673781482, and quantile values: 0.25 -0.567122\n0.50 0.066438\n0.75 0.773545\nName: 10065, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25431931519614376, std values: 0.9367786240897354, min values: -2.2915911556076085, max values: 3.312693232344632, median values: 0.2711846301913098, and quantile values: 0.25 -0.384905\n0.50 0.271185\n0.75 0.837875\nName: 10066, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47635737807919337, std values: 1.0679420838305622, min values: -2.5953860446419177, max values: 3.528773265847577, median values: 0.598468192369734, and quantile values: 0.25 -0.149978\n0.50 0.598468\n0.75 1.157721\nName: 10067, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10175281645068734, std values: 0.8670717468563358, min values: -2.081148156296265, max values: 6.0, median values: -0.160526930580278, and quantile values: 0.25 -0.778762\n0.50 -0.160527\n0.75 0.502626\nName: 10068, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28531642987514116, std values: 1.5471999577300768, min values: -2.949186837165601, max values: 4.0, median values: 0.4434228670581097, and quantile values: 0.25 -0.768614\n0.50 0.443423\n0.75 1.549831\nName: 10069, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17058567809846395, std values: 0.9450012752823422, min values: -2.0754191617391693, max values: 3.20751086257212, median values: 0.0952015891015245, and quantile values: 0.25 -0.541683\n0.50 0.095202\n0.75 0.856748\nName: 10070, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21493435428246432, std values: 0.9901142430040356, min values: -2.9797100147087465, max values: 5.0, median values: -0.3299741847379177, and quantile values: 0.25 -0.911328\n0.50 -0.329974\n0.75 0.446403\nName: 10071, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3832464121870172, std values: 0.8859510721823222, min values: -2.1736726278778096, max values: 6.0, median values: 0.4693752857782394, and quantile values: 0.25 -0.223685\n0.50 0.469375\n0.75 1.056940\nName: 10072, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3704582923788801, std values: 0.7951201174798362, min values: -2.662750916816848, max values: 5.0, median values: 0.4207820046781822, and quantile values: 0.25 -0.117259\n0.50 0.420782\n0.75 0.858910\nName: 10073, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5938712224523978, std values: 1.023819481147232, min values: -2.264034258932616, max values: 3.0, median values: 0.6082472343684222, and quantile values: 0.25 -0.187955\n0.50 0.608247\n0.75 1.463337\nName: 10074, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3127545204275958, std values: 1.046684701227933, min values: -2.215291168881953, max values: 3.025409039429847, median values: 0.2934298869498547, and quantile values: 0.25 -0.521593\n0.50 0.293430\n0.75 1.179901\nName: 10075, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2995049551769578, std values: 0.8224937882732352, min values: -2.838932175687192, max values: 4.0, median values: -0.4091129557387302, and quantile values: 0.25 -0.858140\n0.50 -0.409113\n0.75 0.171118\nName: 10076, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03343600804268057, std values: 0.7941474405161434, min values: -3.066111439712689, max values: 3.4758930087721422, median values: -0.0006334042427109, and quantile values: 0.25 -0.597941\n0.50 -0.000633\n0.75 0.505736\nName: 10077, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33507437429623765, std values: 0.8671036661007875, min values: -2.469941537133514, max values: 4.0, median values: -0.4201152940656338, and quantile values: 0.25 -1.039927\n0.50 -0.420115\n0.75 0.241995\nName: 10078, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04243005208788693, std values: 0.9320954069025528, min values: -2.209543028518217, max values: 5.0, median values: -0.0834030139631303, and quantile values: 0.25 -0.803388\n0.50 -0.083403\n0.75 0.662830\nName: 10079, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07623909710866247, std values: 0.8145591160791987, min values: -2.0592638469240065, max values: 3.2328207660681025, median values: 0.1029306420481528, and quantile values: 0.25 -0.502095\n0.50 0.102931\n0.75 0.617687\nName: 10080, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4376906117101859, std values: 0.7792646644624261, min values: -1.9774338772280329, max values: 3.0097288687560817, median values: 0.4467067685806654, and quantile values: 0.25 -0.045630\n0.50 0.446707\n0.75 0.951295\nName: 10081, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3327591164232177, std values: 0.7792505530637793, min values: -1.989074010495094, max values: 6.0, median values: 0.4051843841495356, and quantile values: 0.25 -0.181764\n0.50 0.405184\n0.75 0.866763\nName: 10082, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14866841384003573, std values: 0.8560123512339328, min values: -1.941809727892412, max values: 6.0, median values: -0.2727047251976127, and quantile values: 0.25 -0.784025\n0.50 -0.272705\n0.75 0.406314\nName: 10083, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22581946453853355, std values: 1.0674541083514302, min values: -2.558791007225312, max values: 3.867701659180865, median values: 0.4161385227189772, and quantile values: 0.25 -0.294523\n0.50 0.416139\n0.75 0.947431\nName: 10084, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16849704080592906, std values: 0.9791151435868152, min values: -2.558791007225312, max values: 3.0, median values: -0.1218594538275314, and quantile values: 0.25 -0.925275\n0.50 -0.121859\n0.75 0.563323\nName: 10085, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08765331148035287, std values: 0.7449047743437754, min values: -2.476285024008804, max values: 3.1888787873512885, median values: 0.084812495655492, and quantile values: 0.25 -0.413949\n0.50 0.084812\n0.75 0.557813\nName: 10086, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.039441146329737956, std values: 0.803571186362846, min values: -1.908912761320239, max values: 6.0, median values: -0.1038235254552177, and quantile values: 0.25 -0.600559\n0.50 -0.103824\n0.75 0.441935\nName: 10087, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07080772220910445, std values: 1.215694480497203, min values: -2.6270253558526173, max values: 4.0, median values: 0.0768551981950415, and quantile values: 0.25 -0.852423\n0.50 0.076855\n0.75 0.794607\nName: 10088, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24833522499168306, std values: 0.9367325205519746, min values: -2.6850842010492566, max values: 6.0, median values: 0.2209958011540715, and quantile values: 0.25 -0.411917\n0.50 0.220996\n0.75 0.842210\nName: 10089, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29868227007450343, std values: 0.789706637439617, min values: -3.062179113294277, max values: 3.2266531185902125, median values: -0.3344849796318029, and quantile values: 0.25 -0.817188\n0.50 -0.334485\n0.75 0.158071\nName: 10090, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1328408490538181, std values: 0.8173533355605085, min values: -2.5953860446419177, max values: 3.0, median values: 0.2043224644615088, and quantile values: 0.25 -0.294868\n0.50 0.204322\n0.75 0.646898\nName: 10091, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16973912501293204, std values: 0.7322583860150694, min values: -2.264034258932616, max values: 3.0046625681201315, median values: 0.2245559148817909, and quantile values: 0.25 -0.302932\n0.50 0.224556\n0.75 0.651298\nName: 10092, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37020445254636736, std values: 0.856876152299863, min values: -2.497631940196456, max values: 3.9048392686725855, median values: -0.4888617548894863, and quantile values: 0.25 -0.998896\n0.50 -0.488862\n0.75 0.140665\nName: 10093, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09105670391398402, std values: 0.9418073581129199, min values: -2.119118875804272, max values: 3.2906806286429298, median values: -0.1808960975061825, and quantile values: 0.25 -0.816182\n0.50 -0.180896\n0.75 0.564543\nName: 10094, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15858670563952743, std values: 0.9505807496472061, min values: -2.5859127503381347, max values: 3.379902545505621, median values: 0.2426036765491856, and quantile values: 0.25 -0.445260\n0.50 0.242604\n0.75 0.798942\nName: 10095, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2240557044015482, std values: 0.8585132865506218, min values: -2.374446373878101, max values: 4.0, median values: 0.29958815468766, and quantile values: 0.25 -0.402620\n0.50 0.299588\n0.75 0.871630\nName: 10096, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1566172704582157, std values: 0.7145665800800748, min values: -2.2423374092797945, max values: 3.0, median values: -0.1903101004076179, and quantile values: 0.25 -0.642273\n0.50 -0.190310\n0.75 0.286795\nName: 10097, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2901793974506806, std values: 0.8791108250140728, min values: -2.0407136277056424, max values: 4.0, median values: -0.3223356637794735, and quantile values: 0.25 -0.904333\n0.50 -0.322336\n0.75 0.227321\nName: 10098, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.182216284931503, std values: 1.0040363234408527, min values: -2.783691185534105, max values: 3.5021977227593246, median values: 0.2243017398125021, and quantile values: 0.25 -0.594794\n0.50 0.224302\n0.75 0.978607\nName: 10099, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06866043968556462, std values: 0.8353143732199376, min values: -2.071166690331113, max values: 3.598076523509904, median values: -0.1868059413507797, and quantile values: 0.25 -0.662712\n0.50 -0.186806\n0.75 0.471555\nName: 10100, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37384084736504736, std values: 1.0211059312048225, min values: -3.002493140275396, max values: 5.0, median values: 0.4439298692241454, and quantile values: 0.25 -0.279686\n0.50 0.443930\n0.75 1.112764\nName: 10101, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1274637674462328, std values: 1.2634537220276907, min values: -3.236860296211546, max values: 3.9048392686725855, median values: 0.1966224167366062, and quantile values: 0.25 -1.092633\n0.50 0.196622\n0.75 0.760646\nName: 10102, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4125473454948077, std values: 1.2396892640568455, min values: -2.697026421440041, max values: 4.0, median values: -0.1807841242023696, and quantile values: 0.25 -1.697052\n0.50 -0.180784\n0.75 0.453077\nName: 10103, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36853668994863076, std values: 0.7781106433729622, min values: -2.3937380876386865, max values: 4.026668017837955, median values: -0.3991502945102992, and quantile values: 0.25 -0.906612\n0.50 -0.399150\n0.75 0.084453\nName: 10104, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24326384078749802, std values: 1.0066403204254515, min values: -2.6800544037614658, max values: 4.0, median values: -0.2484495401715811, and quantile values: 0.25 -0.930654\n0.50 -0.248450\n0.75 0.460197\nName: 10105, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25442320697186205, std values: 0.8485144172558532, min values: -2.8889090019311845, max values: 5.0, median values: -0.2369719744854259, and quantile values: 0.25 -0.862847\n0.50 -0.236972\n0.75 0.374912\nName: 10106, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45426930833986545, std values: 0.8073127714956634, min values: -2.1002547423964093, max values: 3.0, median values: 0.5046351993674963, and quantile values: 0.25 -0.097671\n0.50 0.504635\n0.75 1.007648\nName: 10107, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.032209708760314544, std values: 0.8248005299856953, min values: -2.4176069991382847, max values: 6.0, median values: -0.1205436556019921, and quantile values: 0.25 -0.635918\n0.50 -0.120544\n0.75 0.485637\nName: 10108, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07440275767517195, std values: 0.9521641466638049, min values: -2.8663054413554843, max values: 6.0, median values: -0.0882678261218944, and quantile values: 0.25 -0.608332\n0.50 -0.088268\n0.75 0.508603\nName: 10109, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08093643220052128, std values: 0.7758742969815061, min values: -2.903387443741723, max values: 3.0, median values: -0.0787887967424123, and quantile values: 0.25 -0.617518\n0.50 -0.078789\n0.75 0.369647\nName: 10110, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.9509074736477552, std values: 1.0783426295311027, min values: -1.97960662713072, max values: 3.8226908388056136, median values: 0.9718210835210088, and quantile values: 0.25 0.156788\n0.50 0.971821\n0.75 1.835475\nName: 10111, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31152432276292463, std values: 1.037466853487777, min values: -2.0754191617391693, max values: 3.0, median values: 0.2661650956992309, and quantile values: 0.25 -0.509920\n0.50 0.266165\n0.75 1.217360\nName: 10112, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17104522850482182, std values: 0.8143035952782705, min values: -2.30751313346571, max values: 3.306454397423372, median values: -0.2870345345667471, and quantile values: 0.25 -0.741331\n0.50 -0.287035\n0.75 0.308504\nName: 10113, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.009108401284041157, std values: 0.8167869334595382, min values: -2.124562785567106, max values: 5.0, median values: 0.0358087582375027, and quantile values: 0.25 -0.573292\n0.50 0.035809\n0.75 0.569094\nName: 10114, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3072819953209141, std values: 0.845593328195399, min values: -2.196708653609315, max values: 4.0, median values: -0.4451858470702796, and quantile values: 0.25 -0.934192\n0.50 -0.445186\n0.75 0.208154\nName: 10115, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.041158492640590294, std values: 0.8621448695948895, min values: -2.610097161345549, max values: 4.0, median values: 0.120162754840335, and quantile values: 0.25 -0.454907\n0.50 0.120163\n0.75 0.636862\nName: 10116, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1674328575244708, std values: 0.8540322215590073, min values: -2.56026492390943, max values: 4.0, median values: 0.2199545143861583, and quantile values: 0.25 -0.313887\n0.50 0.219955\n0.75 0.665665\nName: 10117, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35938324227578455, std values: 0.9685714177931843, min values: -2.5953860446419177, max values: 3.349054967837474, median values: 0.4618419211817822, and quantile values: 0.25 -0.172225\n0.50 0.461842\n0.75 0.980728\nName: 10118, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5095511244159621, std values: 1.2539927815584424, min values: -3.215720519334632, max values: 3.8226908388056136, median values: 0.4712231646997539, and quantile values: 0.25 -0.456484\n0.50 0.471223\n0.75 1.505294\nName: 10119, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7817207790141907, std values: 0.9704714610076866, min values: -3.066111439712689, max values: 3.258347009006034, median values: 0.8283913347132097, and quantile values: 0.25 0.113357\n0.50 0.828391\n0.75 1.520136\nName: 10120, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11939908603749577, std values: 0.9862657561874214, min values: -2.815821936576896, max values: 3.1995118554872866, median values: 0.0539601136467056, and quantile values: 0.25 -0.552704\n0.50 0.053960\n0.75 0.777610\nName: 10121, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0012822035285797594, std values: 0.8350020592797534, min values: -1.964969995437011, max values: 3.455472209455805, median values: -0.0473853454369814, and quantile values: 0.25 -0.547028\n0.50 -0.047385\n0.75 0.492645\nName: 10122, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0966239904614178, std values: 0.853990837280445, min values: -2.019021851668823, max values: 5.0, median values: 0.0895287882998953, and quantile values: 0.25 -0.496625\n0.50 0.089529\n0.75 0.669278\nName: 10123, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.00993211469908462, std values: 1.175675354864194, min values: -2.632854336056873, max values: 3.667275230673496, median values: 0.1386628879924913, and quantile values: 0.25 -0.804144\n0.50 0.138663\n0.75 0.895309\nName: 10124, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36064840009121935, std values: 0.9759031054669302, min values: -2.1672848631004347, max values: 2.971200445600723, median values: -0.4176595597321771, and quantile values: 0.25 -1.186947\n0.50 -0.417660\n0.75 0.320712\nName: 10125, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9209706186499679, std values: 1.1319339881795631, min values: -2.7211321814067784, max values: 3.00464355837442, median values: -0.912379673441182, and quantile values: 0.25 -1.956019\n0.50 -0.912380\n0.75 -0.131240\nName: 10126, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.696336320716092, std values: 0.9108089701262463, min values: -1.9604341550668736, max values: 5.0, median values: 0.6433521796213211, and quantile values: 0.25 0.101270\n0.50 0.643352\n0.75 1.289696\nName: 10127, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5360884487744103, std values: 1.0506859225015828, min values: -2.6278943940336483, max values: 4.0, median values: 0.6714219552772268, and quantile values: 0.25 -0.055686\n0.50 0.671422\n0.75 1.222402\nName: 10128, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09437595745919915, std values: 0.8821306781157024, min values: -2.2915911556076085, max values: 4.243835016543704, median values: 0.1265496399785146, and quantile values: 0.25 -0.497726\n0.50 0.126550\n0.75 0.668693\nName: 10129, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35403457523068455, std values: 1.0930328058179855, min values: -3.0363117572416627, max values: 5.0, median values: -0.3953358651435019, and quantile values: 0.25 -1.046285\n0.50 -0.395336\n0.75 0.442542\nName: 10130, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7579101187139009, std values: 1.099937182836019, min values: -2.7428415536925543, max values: 5.0, median values: 0.921868189695094, and quantile values: 0.25 0.101353\n0.50 0.921868\n0.75 1.576937\nName: 10131, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23206323251167657, std values: 0.8740064442413044, min values: -2.196708653609315, max values: 6.0, median values: 0.2674492686081028, and quantile values: 0.25 -0.375926\n0.50 0.267449\n0.75 0.773285\nName: 10132, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1083071426404932, std values: 1.116464477456104, min values: -2.873069976951463, max values: 3.0, median values: 0.2638261738545879, and quantile values: 0.25 -0.480222\n0.50 0.263826\n0.75 0.922266\nName: 10133, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27598810906528287, std values: 0.7456948265263359, min values: -2.439930808627264, max values: 4.0, median values: 0.2582360889737373, and quantile values: 0.25 -0.220705\n0.50 0.258236\n0.75 0.767672\nName: 10134, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4279307729042981, std values: 0.9928977762382007, min values: -2.769191083399913, max values: 3.434669824302974, median values: -0.3168000875976425, and quantile values: 0.25 -0.884059\n0.50 -0.316800\n0.75 0.172672\nName: 10135, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6067233982160333, std values: 1.1881164002127167, min values: -2.673124659932621, max values: 6.0, median values: 0.6261723003416093, and quantile values: 0.25 -0.204688\n0.50 0.626172\n0.75 1.555992\nName: 10136, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14540927652452187, std values: 0.7808313679788326, min values: -2.8531572940820533, max values: 3.2936960268109283, median values: -0.14949967521289, and quantile values: 0.25 -0.653308\n0.50 -0.149500\n0.75 0.302095\nName: 10137, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6611188163423937, std values: 1.0036957893212797, min values: -1.894798555157161, max values: 6.0, median values: 0.7551651137814801, and quantile values: 0.25 -0.082697\n0.50 0.755165\n0.75 1.429437\nName: 10138, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.546335955210998, std values: 0.9541264270020402, min values: -2.860922438481449, max values: 3.1395741599540568, median values: 0.694925907300738, and quantile values: 0.25 -0.018365\n0.50 0.694926\n0.75 1.246473\nName: 10139, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40549774536400074, std values: 0.9889992641648251, min values: -2.521882829270847, max values: 4.0, median values: 0.473433131903018, and quantile values: 0.25 -0.235754\n0.50 0.473433\n0.75 1.079943\nName: 10140, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5174149812853007, std values: 0.9342928539775532, min values: -2.179853905073574, max values: 6.0, median values: 0.6053339132484556, and quantile values: 0.25 -0.141611\n0.50 0.605334\n0.75 1.221821\nName: 10141, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1766322981060917, std values: 0.7721874382748938, min values: -2.541693081833126, max values: 3.496479817235339, median values: -0.1795662916658268, and quantile values: 0.25 -0.697532\n0.50 -0.179566\n0.75 0.297345\nName: 10142, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0524082351455225, std values: 0.9552684664898153, min values: -2.673124659932621, max values: 6.0, median values: -0.0237312697645305, and quantile values: 0.25 -0.629457\n0.50 -0.023731\n0.75 0.511237\nName: 10143, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7222862424922148, std values: 0.9591599511342124, min values: -2.147228856409125, max values: 3.477886732511886, median values: 0.7744363085410404, and quantile values: 0.25 0.129576\n0.50 0.774436\n0.75 1.376005\nName: 10144, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5551009875810873, std values: 1.0787247036915277, min values: -2.63315074164461, max values: 6.0, median values: 0.6761155888542321, and quantile values: 0.25 0.020824\n0.50 0.676116\n0.75 1.236232\nName: 10145, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1868452262099313, std values: 1.2138164739063269, min values: -2.873069976951463, max values: 3.2936960268109283, median values: -0.0195817029244261, and quantile values: 0.25 -1.118408\n0.50 -0.019582\n0.75 0.806429\nName: 10146, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42242352935636807, std values: 0.9355472151720615, min values: -2.419133598913117, max values: 3.3337116327022187, median values: -0.5415413916617381, and quantile values: 0.25 -1.174796\n0.50 -0.541541\n0.75 0.210763\nName: 10147, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.054379079560014386, std values: 0.9668512718923633, min values: -2.579952672199424, max values: 6.0, median values: -0.1826599771917389, and quantile values: 0.25 -0.790143\n0.50 -0.182660\n0.75 0.540069\nName: 10148, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04274362508216475, std values: 0.923017007809057, min values: -2.0477799217050063, max values: 5.0, median values: -0.0164141676176237, and quantile values: 0.25 -0.660861\n0.50 -0.016414\n0.75 0.654931\nName: 10149, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06024702328863917, std values: 1.2968207279433421, min values: -2.9109251266226006, max values: 3.349054967837474, median values: 0.2847867620168253, and quantile values: 0.25 -0.820675\n0.50 0.284787\n0.75 0.985655\nName: 10150, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.015287732617675414, std values: 0.9148262407428526, min values: -2.57895707818966, max values: 6.0, median values: -0.13107315437234, and quantile values: 0.25 -0.639563\n0.50 -0.131073\n0.75 0.574661\nName: 10151, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20570664892303442, std values: 0.8528826132512329, min values: -2.90140378513671, max values: 2.846763811801109, median values: 0.1609433846839599, and quantile values: 0.25 -0.435900\n0.50 0.160943\n0.75 0.836600\nName: 10152, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5665308087284169, std values: 1.019701709445854, min values: -2.64479559868397, max values: 6.0, median values: 0.7020602770685695, and quantile values: 0.25 0.007959\n0.50 0.702060\n0.75 1.222053\nName: 10153, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39731322495717336, std values: 0.9380990728606158, min values: -2.732564679617164, max values: 3.627976272701048, median values: 0.4590827625128497, and quantile values: 0.25 -0.287527\n0.50 0.459083\n0.75 1.113532\nName: 10154, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.454407969209733, std values: 0.925193198641538, min values: -2.5563022890751474, max values: 4.0, median values: 0.5298971814138338, and quantile values: 0.25 -0.214461\n0.50 0.529897\n0.75 1.169769\nName: 10155, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42970315854516794, std values: 0.9091156070878408, min values: -2.620939317041317, max values: 3.0774992973297404, median values: -0.5294620810692472, and quantile values: 0.25 -1.186010\n0.50 -0.529462\n0.75 0.174797\nName: 10156, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13459530840519296, std values: 0.8698822894795015, min values: -2.052224560448137, max values: 3.390469008396469, median values: -0.2545480265605448, and quantile values: 0.25 -0.784086\n0.50 -0.254548\n0.75 0.428464\nName: 10157, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1825851655055927, std values: 1.0082654244931974, min values: -2.475778245535816, max values: 3.155379154255993, median values: 0.2027760968470051, and quantile values: 0.25 -0.620654\n0.50 0.202776\n0.75 1.014786\nName: 10158, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.008382005551755905, std values: 1.1111423466820878, min values: -2.788272971802125, max values: 6.0, median values: 0.189805358468011, and quantile values: 0.25 -0.645093\n0.50 0.189805\n0.75 0.760772\nName: 10159, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07375180719498786, std values: 0.8100115742339071, min values: -2.5759052915632985, max values: 3.041094191308108, median values: -0.0825463513277479, and quantile values: 0.25 -0.524243\n0.50 -0.082546\n0.75 0.401896\nName: 10160, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17359488188997274, std values: 0.8310714379908315, min values: -2.4788285026914285, max values: 4.0, median values: -0.2604629357960228, and quantile values: 0.25 -0.792516\n0.50 -0.260463\n0.75 0.382809\nName: 10161, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2543846778203623, std values: 1.0571376263735321, min values: -2.002799091845164, max values: 4.0, median values: 0.252863907872804, and quantile values: 0.25 -0.630668\n0.50 0.252864\n0.75 1.070783\nName: 10162, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1647200432995351, std values: 1.0416104728442497, min values: -2.6652153608723106, max values: 5.0, median values: -0.124551119787159, and quantile values: 0.25 -0.857901\n0.50 -0.124551\n0.75 0.477809\nName: 10163, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20525794893287155, std values: 0.9007862420356185, min values: -3.0133870328644434, max values: 2.971794873142076, median values: 0.1429064494331593, and quantile values: 0.25 -0.330766\n0.50 0.142906\n0.75 0.748273\nName: 10164, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14542730387806463, std values: 0.8499930582544802, min values: -2.3333312203517527, max values: 3.630507857092792, median values: 0.1806441607598753, and quantile values: 0.25 -0.431150\n0.50 0.180644\n0.75 0.660683\nName: 10165, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15183711109163744, std values: 0.8680735336374783, min values: -2.2012167772695554, max values: 3.3636961113187773, median values: 0.1999969555366943, and quantile values: 0.25 -0.457596\n0.50 0.199997\n0.75 0.795460\nName: 10166, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16469583366845902, std values: 0.7899071959656457, min values: -2.09925610156575, max values: 2.887007053971583, median values: -0.2550821697253502, and quantile values: 0.25 -0.682866\n0.50 -0.255082\n0.75 0.310488\nName: 10167, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43995102841608963, std values: 0.7671077976464479, min values: -2.8998169811239416, max values: 3.397048482165858, median values: -0.5052258517032318, and quantile values: 0.25 -0.959614\n0.50 -0.505226\n0.75 0.031235\nName: 10168, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2285586356262129, std values: 0.8629760384193605, min values: -2.3893642989164, max values: 4.243835016543704, median values: -0.3763188724423844, and quantile values: 0.25 -0.842838\n0.50 -0.376319\n0.75 0.285074\nName: 10169, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16250078604255427, std values: 0.7979679088436947, min values: -2.3184884946917497, max values: 6.0, median values: -0.2313676121424659, and quantile values: 0.25 -0.700019\n0.50 -0.231368\n0.75 0.303254\nName: 10170, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3744222109719905, std values: 1.286725537949153, min values: -2.9265160609644223, max values: 6.0, median values: -0.486659471977351, and quantile values: 0.25 -1.321282\n0.50 -0.486659\n0.75 0.485327\nName: 10171, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3937614480073318, std values: 1.1509433079171039, min values: -2.486556664247513, max values: 3.627976272701048, median values: 0.5609044627834389, and quantile values: 0.25 -0.434144\n0.50 0.560904\n0.75 1.200206\nName: 10172, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5583058670252471, std values: 1.0935398360069906, min values: -2.769191083399913, max values: 3.3483277116524426, median values: -0.56506709934756, and quantile values: 0.25 -1.268391\n0.50 -0.565067\n0.75 0.180280\nName: 10173, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2164798180848261, std values: 0.9591202060615021, min values: -2.153367261774865, max values: 5.0, median values: 0.2280975255372526, and quantile values: 0.25 -0.496666\n0.50 0.228098\n0.75 0.951109\nName: 10174, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17515956119171447, std values: 1.039703456611583, min values: -2.9029979285382743, max values: 6.0, median values: 0.1483457965277078, and quantile values: 0.25 -0.530006\n0.50 0.148346\n0.75 0.853727\nName: 10175, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6755627598498827, std values: 1.1084016598339073, min values: -2.572123985342288, max values: 4.0, median values: 0.5566881983244638, and quantile values: 0.25 -0.159593\n0.50 0.556688\n0.75 1.607256\nName: 10176, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28064713872472236, std values: 0.8375880470278868, min values: -2.8164291268114208, max values: 4.0, median values: 0.3067102305954512, and quantile values: 0.25 -0.235478\n0.50 0.306710\n0.75 0.777099\nName: 10177, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.028367126807109306, std values: 0.9236311724186582, min values: -2.154207450651022, max values: 3.4566816047670264, median values: 0.0495581998374986, and quantile values: 0.25 -0.695754\n0.50 0.049558\n0.75 0.718791\nName: 10178, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42179050530828543, std values: 0.841714904624171, min values: -2.1502995050841665, max values: 3.0, median values: -0.5493076765708484, and quantile values: 0.25 -1.043623\n0.50 -0.549308\n0.75 0.106866\nName: 10179, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2756427318547259, std values: 1.0610225900246684, min values: -2.6270253558526173, max values: 4.0, median values: -0.0897423550744146, and quantile values: 0.25 -0.919160\n0.50 -0.089742\n0.75 0.441271\nName: 10180, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.043782739286697084, std values: 0.9321420505622998, min values: -2.842989614395848, max values: 5.0, median values: -0.0996422684259325, and quantile values: 0.25 -0.658602\n0.50 -0.099642\n0.75 0.563517\nName: 10181, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07189504738076756, std values: 1.0469041431995065, min values: -2.5759052915632985, max values: 3.0, median values: 0.2296707623067096, and quantile values: 0.25 -0.613424\n0.50 0.229671\n0.75 0.845670\nName: 10182, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19266875016652335, std values: 0.9088009167963867, min values: -2.087432639025188, max values: 4.0, median values: 0.1251158452374423, and quantile values: 0.25 -0.496572\n0.50 0.125116\n0.75 0.828778\nName: 10183, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12398977672722306, std values: 0.8258343732539469, min values: -2.5743883495350026, max values: 5.0, median values: -0.1435272809817931, and quantile values: 0.25 -0.632484\n0.50 -0.143527\n0.75 0.391349\nName: 10184, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10727718358053645, std values: 0.8977422044982342, min values: -3.2266531185902174, max values: 2.962222102807026, median values: 0.2110526618626583, and quantile values: 0.25 -0.430183\n0.50 0.211053\n0.75 0.727877\nName: 10185, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0020577518811770172, std values: 0.975634371845833, min values: -2.424905400413243, max values: 5.0, median values: 0.0345136100791945, and quantile values: 0.25 -0.788142\n0.50 0.034514\n0.75 0.752778\nName: 10186, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04906603355829139, std values: 0.8451794687896008, min values: -2.2477784840641744, max values: 4.0, median values: -0.0242094208119893, and quantile values: 0.25 -0.520991\n0.50 -0.024209\n0.75 0.596296\nName: 10187, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.20981301320671, std values: 1.6434135416558682, min values: -2.9109251266226006, max values: 3.670892362631932, median values: -1.9940685612824285, and quantile values: 0.25 -2.363445\n0.50 -1.994069\n0.75 -0.249010\nName: 10188, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0746900556448295, std values: 0.7966389124243342, min values: -1.935464665409428, max values: 3.760287110694155, median values: 0.0618651979791378, and quantile values: 0.25 -0.457963\n0.50 0.061865\n0.75 0.589565\nName: 10189, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4340025070072318, std values: 1.0110227383742507, min values: -2.4262488983241246, max values: 3.667275230673496, median values: 0.312054767700313, and quantile values: 0.25 -0.229650\n0.50 0.312055\n0.75 1.053352\nName: 10190, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2900349205417827, std values: 1.1444822507793773, min values: -2.92272757463548, max values: 6.0, median values: -0.2787199534711748, and quantile values: 0.25 -1.049860\n0.50 -0.278720\n0.75 0.493312\nName: 10191, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06880468063631343, std values: 0.8182128060397038, min values: -2.0401882913920346, max values: 5.0, median values: -0.1234009727359812, and quantile values: 0.25 -0.660176\n0.50 -0.123401\n0.75 0.453900\nName: 10192, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32285104610813886, std values: 1.093227501053819, min values: -2.6122411453164007, max values: 4.0, median values: -0.4060055271381083, and quantile values: 0.25 -1.251706\n0.50 -0.406006\n0.75 0.415487\nName: 10193, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2680647669959334, std values: 0.9279430331260737, min values: -2.125402219364062, max values: 6.0, median values: -0.3185089861239694, and quantile values: 0.25 -1.026215\n0.50 -0.318509\n0.75 0.354122\nName: 10194, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19864108414600207, std values: 1.7500428733950377, min values: -2.944950884974346, max values: 3.784832159836258, median values: 0.4651012762283978, and quantile values: 0.25 -1.758232\n0.50 0.465101\n0.75 1.614874\nName: 10195, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3333032597110404, std values: 1.300643674248705, min values: -2.8563982925340614, max values: 5.0, median values: -0.1814640877997722, and quantile values: 0.25 -1.334120\n0.50 -0.181464\n0.75 0.641152\nName: 10196, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.135443639298713, std values: 1.0195063586746065, min values: -2.7542003929097176, max values: 5.0, median values: 0.2257705074436161, and quantile values: 0.25 -0.530142\n0.50 0.225771\n0.75 0.911113\nName: 10197, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47057434278067856, std values: 0.7909782602210987, min values: -2.589966702820638, max values: 6.0, median values: 0.5168632932850502, and quantile values: 0.25 -0.028365\n0.50 0.516863\n0.75 0.970912\nName: 10198, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4477753277379251, std values: 0.862355037681961, min values: -2.0942940418967018, max values: 3.867701659180865, median values: -0.5287344542700334, and quantile values: 0.25 -1.120905\n0.50 -0.528734\n0.75 0.114344\nName: 10199, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3715121077602132, std values: 0.9556018276263349, min values: -2.510124273981921, max values: 3.3760121766849016, median values: -0.3962293540299855, and quantile values: 0.25 -1.150223\n0.50 -0.396229\n0.75 0.324657\nName: 10200, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2391171284809735, std values: 0.9459961414889947, min values: -2.497627580948261, max values: 3.867701659180865, median values: 0.3378892586035745, and quantile values: 0.25 -0.228292\n0.50 0.337889\n0.75 0.772568\nName: 10201, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3688079956105706, std values: 1.322775479016116, min values: -2.461308921153724, max values: 3.5427287984042666, median values: 0.2495383138928306, and quantile values: 0.25 -0.735694\n0.50 0.249538\n0.75 1.491888\nName: 10202, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5152956238697693, std values: 0.9387161653489275, min values: -2.245752867605861, max values: 3.0362913622068968, median values: -0.6309556139021764, and quantile values: 0.25 -1.283962\n0.50 -0.630956\n0.75 0.123973\nName: 10203, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.011218061955784939, std values: 0.9029691734845889, min values: -2.679056533720636, max values: 5.0, median values: 0.0860173797276256, and quantile values: 0.25 -0.488055\n0.50 0.086017\n0.75 0.532510\nName: 10204, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32187794469445313, std values: 0.9158814270691132, min values: -2.641174291463747, max values: 6.0, median values: -0.3729511596313268, and quantile values: 0.25 -0.950109\n0.50 -0.372951\n0.75 0.288020\nName: 10205, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5016772720945776, std values: 0.8692952248867449, min values: -2.321510952509234, max values: 3.1290445144064547, median values: 0.5317474788447528, and quantile values: 0.25 -0.111978\n0.50 0.531747\n0.75 1.162848\nName: 10206, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11768667002149207, std values: 0.884170715198097, min values: -2.103766579362726, max values: 2.917687790776004, median values: -0.0759437446885802, and quantile values: 0.25 -0.792632\n0.50 -0.075944\n0.75 0.510846\nName: 10207, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11492372664172792, std values: 0.7519645909037938, min values: -2.5689076212724418, max values: 5.0, median values: 0.0810266146738414, and quantile values: 0.25 -0.363432\n0.50 0.081027\n0.75 0.587633\nName: 10208, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06580923402071712, std values: 0.782790726592601, min values: -2.142854198138545, max values: 5.0, median values: -0.00892285583207, and quantile values: 0.25 -0.499160\n0.50 -0.008923\n0.75 0.578568\nName: 10209, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3662734814143627, std values: 0.9370428491873181, min values: -2.2653804496986067, max values: 3.9048392686725855, median values: -0.4713394137351698, and quantile values: 0.25 -1.125125\n0.50 -0.471339\n0.75 0.255793\nName: 10210, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3053663410376387, std values: 0.9122089862423419, min values: -2.132840460960708, max values: 4.0, median values: 0.3430305493302434, and quantile values: 0.25 -0.341512\n0.50 0.343031\n0.75 0.977807\nName: 10211, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15386222080773232, std values: 1.0083929279061712, min values: -2.769191083399913, max values: 3.9905524164385566, median values: 0.2673615249370989, and quantile values: 0.25 -0.475375\n0.50 0.267362\n0.75 0.835125\nName: 10212, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2695563546758595, std values: 1.1882771892475064, min values: -2.558791007225312, max values: 4.278004674434932, median values: 0.4986924775714174, and quantile values: 0.25 -0.373335\n0.50 0.498692\n0.75 1.110670\nName: 10213, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.020038401737001263, std values: 0.9480103820837013, min values: -2.724017888297919, max values: 3.477886732511886, median values: 0.0745412963458957, and quantile values: 0.25 -0.497561\n0.50 0.074541\n0.75 0.617452\nName: 10214, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1315723455831449, std values: 0.9762692415014658, min values: -2.622709665346679, max values: 4.243835016543704, median values: -0.1553817199513487, and quantile values: 0.25 -0.787111\n0.50 -0.155382\n0.75 0.495950\nName: 10215, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09074667601341228, std values: 0.8765792841450125, min values: -2.6850842010492566, max values: 6.0, median values: -0.0257644600237654, and quantile values: 0.25 -0.617001\n0.50 -0.025764\n0.75 0.460580\nName: 10216, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34203576842919287, std values: 1.06734937788905, min values: -2.419133598913117, max values: 3.477886732511886, median values: 0.3146323828652062, and quantile values: 0.25 -0.500190\n0.50 0.314632\n0.75 1.245576\nName: 10217, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43041880144826206, std values: 1.0253137668412553, min values: -2.6320986139293034, max values: 3.496479817235339, median values: -0.4626172236542787, and quantile values: 0.25 -1.235066\n0.50 -0.462617\n0.75 0.286709\nName: 10218, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7363361304002491, std values: 0.9800041306084348, min values: -2.5743883495350026, max values: 5.0, median values: -0.8633959281047526, and quantile values: 0.25 -1.520134\n0.50 -0.863396\n0.75 -0.077623\nName: 10219, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2696167575640648, std values: 0.8577783751986886, min values: -2.0923235737594785, max values: 3.528773265847577, median values: -0.3950381056706756, and quantile values: 0.25 -0.897738\n0.50 -0.395038\n0.75 0.289867\nName: 10220, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21722962817277808, std values: 0.7605698370700116, min values: -2.0477799217050063, max values: 5.0, median values: 0.1617001499396506, and quantile values: 0.25 -0.255253\n0.50 0.161700\n0.75 0.670800\nName: 10221, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.014552310676079814, std values: 0.7795817947222885, min values: -2.264034258932616, max values: 3.0, median values: -0.0021756074479493, and quantile values: 0.25 -0.537719\n0.50 -0.002176\n0.75 0.466697\nName: 10222, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3844781695926843, std values: 0.8308707512172299, min values: -2.6850842010492566, max values: 6.0, median values: -0.4840444877530235, and quantile values: 0.25 -0.964796\n0.50 -0.484044\n0.75 0.122067\nName: 10223, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42243815012418096, std values: 0.7967318665662017, min values: -2.566149343918479, max values: 6.0, median values: 0.4782598701162847, and quantile values: 0.25 -0.100135\n0.50 0.478260\n0.75 0.986633\nName: 10224, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10504203333323882, std values: 0.8771128069674753, min values: -2.4705236352348297, max values: 3.5427287984042666, median values: 0.022391332439925, and quantile values: 0.25 -0.528674\n0.50 0.022391\n0.75 0.681351\nName: 10225, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.128135060795731, std values: 0.8340707490067938, min values: -2.4902145713898545, max values: 4.243835016543704, median values: -0.189831881911517, and quantile values: 0.25 -0.640153\n0.50 -0.189832\n0.75 0.399751\nName: 10226, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17261737533852042, std values: 0.8867844565009643, min values: -2.469941537133514, max values: 4.0, median values: 0.0766033786568958, and quantile values: 0.25 -0.462219\n0.50 0.076603\n0.75 0.769947\nName: 10227, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07156539568620494, std values: 0.7894818126212564, min values: -2.841647375415054, max values: 5.0, median values: -0.1217207322512234, and quantile values: 0.25 -0.597476\n0.50 -0.121721\n0.75 0.396425\nName: 10228, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17721445392396648, std values: 0.9028600025110691, min values: -2.622408470084112, max values: 3.17157439250477, median values: -0.1314068992976063, and quantile values: 0.25 -0.757853\n0.50 -0.131407\n0.75 0.405518\nName: 10229, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4610186558310283, std values: 1.1478632331762062, min values: -2.9797100147087465, max values: 5.0, median values: 0.3637281463129893, and quantile values: 0.25 -0.366405\n0.50 0.363728\n0.75 1.267837\nName: 10230, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7816449184517125, std values: 1.1719869547904882, min values: -1.917844427564773, max values: 3.5427287984042666, median values: 0.7255700956996429, and quantile values: 0.25 -0.117893\n0.50 0.725570\n0.75 1.776214\nName: 10231, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14405153849509592, std values: 0.8248272724583414, min values: -2.095529726150577, max values: 3.0651860794139534, median values: -0.1261640037146829, and quantile values: 0.25 -0.748273\n0.50 -0.126164\n0.75 0.391317\nName: 10232, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24596888425293065, std values: 0.8398780362894454, min values: -2.264034258932616, max values: 3.0, median values: 0.3326141016873418, and quantile values: 0.25 -0.325977\n0.50 0.332614\n0.75 0.853250\nName: 10233, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05956992195143884, std values: 0.8867883686877921, min values: -2.3922473154067863, max values: 5.0, median values: 0.0329980845238025, and quantile values: 0.25 -0.537337\n0.50 0.032998\n0.75 0.603119\nName: 10234, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11268725848621636, std values: 0.76376244079243, min values: -2.0211405625505043, max values: 3.0651860794139534, median values: -0.1719173238230373, and quantile values: 0.25 -0.634247\n0.50 -0.171917\n0.75 0.345657\nName: 10235, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.69296674635553, std values: 1.1826580782010454, min values: -3.904839268672367, max values: 2.7291255244081207, median values: -0.680031857881102, and quantile values: 0.25 -1.731603\n0.50 -0.680032\n0.75 0.109273\nName: 10236, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3676913115335905, std values: 0.9352917556205559, min values: -2.264034258932616, max values: 4.026668017837955, median values: 0.2900405059129982, and quantile values: 0.25 -0.265451\n0.50 0.290041\n0.75 1.030053\nName: 10237, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3321081109831371, std values: 1.0962619492515224, min values: -2.608390851963037, max values: 5.0, median values: -0.3059886707020678, and quantile values: 0.25 -1.151736\n0.50 -0.305989\n0.75 0.492900\nName: 10238, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17237180357351786, std values: 0.8195267923007986, min values: -2.159847940654977, max values: 5.0, median values: 0.1271881623045734, and quantile values: 0.25 -0.433902\n0.50 0.127188\n0.75 0.754701\nName: 10239, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43589343080534815, std values: 0.791200743406491, min values: -1.9213207984352068, max values: 5.0, median values: 0.4775180541742466, and quantile values: 0.25 -0.078734\n0.50 0.477518\n0.75 0.962115\nName: 10240, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1736297561220133, std values: 0.8179121662692193, min values: -2.079371595256712, max values: 2.5064473464808863, median values: -0.2455499173297615, and quantile values: 0.25 -0.831380\n0.50 -0.245550\n0.75 0.399598\nName: 10241, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10543703962148537, std values: 0.8822500607377194, min values: -2.067417906860217, max values: 5.0, median values: -0.2131798182600891, and quantile values: 0.25 -0.736266\n0.50 -0.213180\n0.75 0.437112\nName: 10242, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06221227573088577, std values: 0.9201922860777767, min values: -2.4232760209864344, max values: 3.9905524164385566, median values: -0.1452467963131702, and quantile values: 0.25 -0.788677\n0.50 -0.145247\n0.75 0.593075\nName: 10243, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.013122073714714627, std values: 0.8979615720292365, min values: -2.5774281843044924, max values: 4.0, median values: -0.0772695163053932, and quantile values: 0.25 -0.625971\n0.50 -0.077270\n0.75 0.610734\nName: 10244, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.041446925473654035, std values: 0.7691374799664309, min values: -2.147228856409125, max values: 3.1888787873512885, median values: -0.0876068698948978, and quantile values: 0.25 -0.538132\n0.50 -0.087607\n0.75 0.444243\nName: 10245, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19662815601621916, std values: 0.9344253339214547, min values: -2.1921678111617107, max values: 3.349054967837474, median values: 0.2432852630935047, and quantile values: 0.25 -0.439567\n0.50 0.243285\n0.75 0.811969\nName: 10246, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09817674555984081, std values: 0.8269220786344995, min values: -2.2161166709808824, max values: 6.0, median values: 0.1427792651553385, and quantile values: 0.25 -0.482571\n0.50 0.142779\n0.75 0.656426\nName: 10247, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13288742247708885, std values: 0.9980808801293685, min values: -3.1386665508340674, max values: 2.985133931273498, median values: -0.141092025935045, and quantile values: 0.25 -0.853414\n0.50 -0.141092\n0.75 0.568261\nName: 10248, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3820132435701504, std values: 0.845622499144628, min values: -2.783691185534105, max values: 3.147276669305989, median values: 0.4439090684988923, and quantile values: 0.25 -0.172629\n0.50 0.443909\n0.75 0.945662\nName: 10249, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.340768527398011, std values: 0.7996362022632598, min values: -2.693453432157769, max values: 4.278004674434932, median values: 0.365109507946581, and quantile values: 0.25 -0.154864\n0.50 0.365110\n0.75 0.838016\nName: 10250, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44043363142387354, std values: 0.8685301474018263, min values: -2.108143545940988, max values: 3.155170554159904, median values: -0.5407529258811948, and quantile values: 0.25 -1.068831\n0.50 -0.540753\n0.75 0.057890\nName: 10251, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2708794104969018, std values: 0.8341449377521901, min values: -2.0854901680147853, max values: 2.921039391187937, median values: 0.3697697511785251, and quantile values: 0.25 -0.293839\n0.50 0.369770\n0.75 0.871308\nName: 10252, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05183349132510954, std values: 0.8456586956067845, min values: -2.2398683045325223, max values: 3.280245386470253, median values: 0.0139684463740197, and quantile values: 0.25 -0.494300\n0.50 0.013968\n0.75 0.601040\nName: 10253, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14216823871642859, std values: 0.9076336938036181, min values: -2.620939317041317, max values: 4.0, median values: -0.1855020900486113, and quantile values: 0.25 -0.725296\n0.50 -0.185502\n0.75 0.471770\nName: 10254, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.027378153768416482, std values: 1.083717298965948, min values: -2.607565022042742, max values: 4.0, median values: 0.0354505198513205, and quantile values: 0.25 -0.806787\n0.50 0.035451\n0.75 0.876068\nName: 10255, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31765629928622696, std values: 0.7503190453792561, min values: -2.516240111824742, max values: 3.0, median values: 0.3422128343048292, and quantile values: 0.25 -0.158712\n0.50 0.342213\n0.75 0.787304\nName: 10256, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42339490322539697, std values: 0.8338307911905353, min values: -2.212717022499921, max values: 3.5021977227593246, median values: 0.4267803656886496, and quantile values: 0.25 -0.103942\n0.50 0.426780\n0.75 0.973685\nName: 10257, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31922399619671515, std values: 0.7982728937919487, min values: -2.4564928597243227, max values: 4.0, median values: -0.3674655176315646, and quantile values: 0.25 -0.877133\n0.50 -0.367466\n0.75 0.116312\nName: 10258, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11784385522047476, std values: 0.9639093030020689, min values: -2.622709665346679, max values: 3.0, median values: -0.0736170180242384, and quantile values: 0.25 -0.785147\n0.50 -0.073617\n0.75 0.533523\nName: 10259, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14140314829726697, std values: 0.7346633685252639, min values: -2.7648443048846945, max values: 3.477886732511886, median values: 0.1325204847817257, and quantile values: 0.25 -0.336263\n0.50 0.132520\n0.75 0.592596\nName: 10260, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20067091362667747, std values: 0.9478531019823114, min values: -2.642042398333877, max values: 3.477886732511886, median values: 0.2392460681197061, and quantile values: 0.25 -0.357826\n0.50 0.239246\n0.75 0.796821\nName: 10261, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2033496045162116, std values: 0.7947788717384423, min values: -2.104667097879677, max values: 4.0, median values: 0.2057005489780576, and quantile values: 0.25 -0.284758\n0.50 0.205701\n0.75 0.678922\nName: 10262, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22641530960751766, std values: 0.7517168757456093, min values: -2.419133598913117, max values: 3.5908526919299577, median values: 0.2738582533611811, and quantile values: 0.25 -0.291470\n0.50 0.273858\n0.75 0.756266\nName: 10263, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.187843843940084, std values: 1.1986212202039839, min values: -2.727901130262228, max values: 4.0, median values: -1.69985202848615, and quantile values: 0.25 -2.140406\n0.50 -1.699852\n0.75 -0.323206\nName: 10264, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04346168872816735, std values: 1.0730254151284166, min values: -2.879968592907284, max values: 4.0, median values: 0.0216745375397218, and quantile values: 0.25 -0.572968\n0.50 0.021675\n0.75 0.660998\nName: 10265, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4764348975706493, std values: 1.1291168598083452, min values: -2.9622221028070275, max values: 4.0, median values: -0.5677607435081699, and quantile values: 0.25 -1.292331\n0.50 -0.567761\n0.75 0.334638\nName: 10266, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45467913375810187, std values: 0.9913345944492709, min values: -2.579952672199424, max values: 6.0, median values: 0.4759298319560279, and quantile values: 0.25 -0.259979\n0.50 0.475930\n0.75 1.261465\nName: 10267, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11660134089030995, std values: 0.8796849607250675, min values: -3.066111439712689, max values: 3.4217036547572275, median values: -0.0850612451304887, and quantile values: 0.25 -0.757997\n0.50 -0.085061\n0.75 0.495639\nName: 10268, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3151268605296748, std values: 1.1636211180763105, min values: -3.101800431129944, max values: 6.0, median values: -0.2946088733520872, and quantile values: 0.25 -1.208110\n0.50 -0.294609\n0.75 0.464518\nName: 10269, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40693937072016106, std values: 1.2189517236181726, min values: -2.610097161345549, max values: 4.0, median values: 0.5409170656665085, and quantile values: 0.25 -0.378718\n0.50 0.540917\n0.75 1.381133\nName: 10270, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4017079473770356, std values: 0.9101196990070445, min values: -2.90140378513671, max values: 3.096891534584617, median values: 0.508258246014605, and quantile values: 0.25 -0.185825\n0.50 0.508258\n0.75 1.096263\nName: 10271, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10329055901385473, std values: 1.1731725845344998, min values: -2.92272757463548, max values: 6.0, median values: 0.1246066274831788, and quantile values: 0.25 -0.816710\n0.50 0.124607\n0.75 0.765389\nName: 10272, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21036553735810543, std values: 0.9997032127865323, min values: -3.101800431129944, max values: 6.0, median values: -0.2647415277962383, and quantile values: 0.25 -0.792139\n0.50 -0.264742\n0.75 0.403107\nName: 10273, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4645948059862622, std values: 0.9434162069745738, min values: -2.0897492665563764, max values: 6.0, median values: -0.6623003344170275, and quantile values: 0.25 -1.227902\n0.50 -0.662300\n0.75 0.166191\nName: 10274, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6880709145564755, std values: 0.7893033494123055, min values: -2.634033912458615, max values: 4.0, median values: -0.8449466260546933, and quantile values: 0.25 -1.255992\n0.50 -0.844947\n0.75 -0.234409\nName: 10275, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4542453706487885, std values: 0.8055543288697535, min values: -1.967443887800321, max values: 6.0, median values: 0.5188787335616949, and quantile values: 0.25 -0.068323\n0.50 0.518879\n0.75 1.000718\nName: 10276, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38761127042786914, std values: 0.8293834860594145, min values: -2.439930808627264, max values: 4.0, median values: 0.3466854761912843, and quantile values: 0.25 -0.169319\n0.50 0.346685\n0.75 0.971784\nName: 10277, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08177934837857778, std values: 0.8915332368284848, min values: -2.5046447434119337, max values: 4.0, median values: -0.0194287849237803, and quantile values: 0.25 -0.529625\n0.50 -0.019429\n0.75 0.617086\nName: 10278, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0834755273058011, std values: 0.9169359207700284, min values: -2.010220823219501, max values: 3.598076523509904, median values: -0.1532481437106757, and quantile values: 0.25 -0.808490\n0.50 -0.153248\n0.75 0.554923\nName: 10279, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4858684003485016, std values: 0.7990293068724619, min values: -2.146975780172544, max values: 3.0, median values: -0.577191421266972, and quantile values: 0.25 -1.057876\n0.50 -0.577191\n0.75 -0.035313\nName: 10280, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31161468080677557, std values: 1.0584258377964684, min values: -2.679056533720636, max values: 5.0, median values: -0.2540598021190713, and quantile values: 0.25 -1.078716\n0.50 -0.254060\n0.75 0.435781\nName: 10281, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49781085068501296, std values: 1.0107242294366932, min values: -2.933035609461076, max values: 5.0, median values: -0.4549988228653993, and quantile values: 0.25 -1.141248\n0.50 -0.454999\n0.75 0.151716\nName: 10282, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3102580899838295, std values: 0.8887890614568842, min values: -2.6117120822772133, max values: 5.0, median values: -0.407443186765694, and quantile values: 0.25 -0.998448\n0.50 -0.407443\n0.75 0.279211\nName: 10283, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2411910629364736, std values: 0.7227577096642245, min values: -2.2315802844518, max values: 5.0, median values: 0.2750362487020429, and quantile values: 0.25 -0.249737\n0.50 0.275036\n0.75 0.699915\nName: 10284, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6044416923532319, std values: 1.1985008252752412, min values: -2.608390851963037, max values: 5.0, median values: 0.5436791654069155, and quantile values: 0.25 -0.091005\n0.50 0.543679\n0.75 1.368573\nName: 10285, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20644912825039635, std values: 0.8182382365512048, min values: -2.3808324358856225, max values: 3.0, median values: 0.3093091719316427, and quantile values: 0.25 -0.356468\n0.50 0.309309\n0.75 0.798942\nName: 10286, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.9921693456969929, std values: 1.0229294608802422, min values: -3.0148736195915964, max values: 3.9048392686725855, median values: -2.198029940219256, and quantile values: 0.25 -2.497628\n0.50 -2.198030\n0.75 -1.952222\nName: 10287, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3526179371353364, std values: 0.8938159449315358, min values: -2.919359491767569, max values: 6.0, median values: 0.311563278318285, and quantile values: 0.25 -0.222304\n0.50 0.311563\n0.75 0.944072\nName: 10288, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1376531658079939, std values: 0.8879012222839622, min values: -2.5832619696830608, max values: 6.0, median values: -0.2172918397690255, and quantile values: 0.25 -0.771837\n0.50 -0.217292\n0.75 0.417685\nName: 10289, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19264309003805233, std values: 0.7988653161276025, min values: -2.3334972768252573, max values: 3.147276669305989, median values: -0.2503907114960742, and quantile values: 0.25 -0.752151\n0.50 -0.250391\n0.75 0.264937\nName: 10290, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18137023504360178, std values: 0.8135624865588621, min values: -2.7648443048846945, max values: 3.0876051304901218, median values: -0.3105622403731823, and quantile values: 0.25 -0.765288\n0.50 -0.310562\n0.75 0.313530\nName: 10291, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08115512118964159, std values: 0.8409583454845233, min values: -2.419133598913117, max values: 3.247416277295021, median values: -0.1358900503614613, and quantile values: 0.25 -0.660039\n0.50 -0.135890\n0.75 0.443721\nName: 10292, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17766917406743224, std values: 0.9292470630569915, min values: -2.739804196611005, max values: 6.0, median values: -0.0986922282626602, and quantile values: 0.25 -0.807840\n0.50 -0.098692\n0.75 0.479881\nName: 10293, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19891341002657592, std values: 0.8480752953720582, min values: -2.0590878109320845, max values: 2.688135003717021, median values: -0.2491321071528258, and quantile values: 0.25 -0.879357\n0.50 -0.249132\n0.75 0.414467\nName: 10294, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40336464273657374, std values: 1.1900763387400612, min values: -2.919359491767569, max values: 5.0, median values: -0.3106614506810338, and quantile values: 0.25 -1.302285\n0.50 -0.310661\n0.75 0.365420\nName: 10295, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13803970569438062, std values: 0.8385725446744766, min values: -2.620939317041317, max values: 4.0, median values: 0.1197233999075594, and quantile values: 0.25 -0.439995\n0.50 0.119723\n0.75 0.664978\nName: 10296, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3328855205349961, std values: 1.0019218090482493, min values: -2.4902145713898545, max values: 3.5908526919299577, median values: 0.4772873075965066, and quantile values: 0.25 -0.334988\n0.50 0.477287\n0.75 1.101985\nName: 10297, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21068789973487, std values: 0.8703618688426215, min values: -2.6320986139293034, max values: 3.0, median values: -0.1453114780270371, and quantile values: 0.25 -0.740287\n0.50 -0.145311\n0.75 0.389595\nName: 10298, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36635304327781665, std values: 1.0607189429624113, min values: -2.0893298172807167, max values: 3.709787027503053, median values: 0.4249631383787717, and quantile values: 0.25 -0.476247\n0.50 0.424963\n0.75 1.201055\nName: 10299, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6812613532250638, std values: 1.0627406657448706, min values: -2.9472833478224456, max values: 6.0, median values: -0.8360972586510601, and quantile values: 0.25 -1.476709\n0.50 -0.836097\n0.75 0.069565\nName: 10300, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3608134740938654, std values: 0.7777084226950899, min values: -2.783691185534105, max values: 2.971794873142076, median values: 0.4372627097642224, and quantile values: 0.25 -0.168313\n0.50 0.437263\n0.75 0.948122\nName: 10301, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11856133506896856, std values: 0.8418812146830221, min values: -2.623568901859613, max values: 4.0, median values: 0.1034843695713759, and quantile values: 0.25 -0.348439\n0.50 0.103484\n0.75 0.658670\nName: 10302, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22734537172406755, std values: 0.9942468415163815, min values: -2.928515832252388, max values: 3.867701659180865, median values: -0.2622296911387358, and quantile values: 0.25 -0.791694\n0.50 -0.262230\n0.75 0.404195\nName: 10303, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09604532981237321, std values: 1.0001438378870466, min values: -2.58513369695146, max values: 4.0, median values: 0.2580420907114865, and quantile values: 0.25 -0.525855\n0.50 0.258042\n0.75 0.804030\nName: 10304, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05170490555192272, std values: 0.9061703096610833, min values: -2.271878901961577, max values: 5.0, median values: -0.1545206019059896, and quantile values: 0.25 -0.685072\n0.50 -0.154521\n0.75 0.481920\nName: 10305, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.033168224971823965, std values: 0.8302467881372358, min values: -2.589966702820638, max values: 6.0, median values: 0.0184523868400401, and quantile values: 0.25 -0.652210\n0.50 0.018452\n0.75 0.575497\nName: 10306, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14496296125612992, std values: 1.2534808145354952, min values: -2.8467638118011016, max values: 5.0, median values: 0.1493084771192504, and quantile values: 0.25 -0.858500\n0.50 0.149308\n0.75 0.753164\nName: 10307, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24741067898466557, std values: 0.8013952271564281, min values: -2.4176069991382847, max values: 6.0, median values: 0.2732939320074503, and quantile values: 0.25 -0.333988\n0.50 0.273294\n0.75 0.856895\nName: 10308, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11206508222293352, std values: 0.9275040230949042, min values: -2.5953860446419177, max values: 3.076680642207697, median values: -0.1437809093472616, and quantile values: 0.25 -0.724402\n0.50 -0.143781\n0.75 0.522920\nName: 10309, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4276647226938835, std values: 0.9398226280474268, min values: -2.558791007225312, max values: 3.0, median values: -0.492060839548171, and quantile values: 0.25 -1.143517\n0.50 -0.492061\n0.75 0.199881\nName: 10310, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08018235725578654, std values: 0.9929818901237961, min values: -2.8164291268114208, max values: 3.760287110694155, median values: -0.1696552600492262, and quantile values: 0.25 -0.805348\n0.50 -0.169655\n0.75 0.604706\nName: 10311, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3669732908311193, std values: 0.8825310244587706, min values: -2.8531572940820533, max values: 3.071284484560209, median values: -0.453044955997291, and quantile values: 0.25 -1.033514\n0.50 -0.453045\n0.75 0.219930\nName: 10312, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08895489606926518, std values: 0.8353704538947533, min values: -2.439930808627264, max values: 4.0, median values: 0.0074685728429131, and quantile values: 0.25 -0.489669\n0.50 0.007469\n0.75 0.615820\nName: 10313, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7610181553351673, std values: 0.8550662003496367, min values: -2.6404955031131814, max values: 5.0, median values: -0.9427092506576322, and quantile values: 0.25 -1.370208\n0.50 -0.942709\n0.75 -0.259629\nName: 10314, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20241513201819436, std values: 0.9218418353290173, min values: -2.4657737907743, max values: 5.0, median values: 0.1635663819421531, and quantile values: 0.25 -0.459713\n0.50 0.163566\n0.75 0.789429\nName: 10315, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3345052277697981, std values: 0.736516862868183, min values: -2.5689076212724418, max values: 5.0, median values: 0.3227127880829418, and quantile values: 0.25 -0.112168\n0.50 0.322713\n0.75 0.777078\nName: 10316, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21933945180489517, std values: 0.9082610379058814, min values: -2.622408470084112, max values: 3.216771431244405, median values: 0.3264865664810744, and quantile values: 0.25 -0.244541\n0.50 0.326487\n0.75 0.771867\nName: 10317, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05018515814284448, std values: 0.8282038117363696, min values: -2.58513369695146, max values: 3.0418703198091483, median values: -0.0211517695310999, and quantile values: 0.25 -0.688943\n0.50 -0.021152\n0.75 0.579959\nName: 10318, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02752728350170373, std values: 1.0111759810644356, min values: -2.1085798980149097, max values: 3.867701659180865, median values: -0.0599256813967681, and quantile values: 0.25 -0.858568\n0.50 -0.059926\n0.75 0.669451\nName: 10319, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12487127389216968, std values: 0.824094679288898, min values: -2.2543294306693213, max values: 3.8226908388056136, median values: 0.1325274359659495, and quantile values: 0.25 -0.418612\n0.50 0.132527\n0.75 0.654726\nName: 10320, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08273825447985798, std values: 0.8003133019756453, min values: -2.687115288423959, max values: 5.0, median values: -0.0194287849237803, and quantile values: 0.25 -0.441024\n0.50 -0.019429\n0.75 0.572513\nName: 10321, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1540317565377793, std values: 1.339001710484099, min values: -2.887007053971579, max values: 3.3337116327022187, median values: -0.1139005447797987, and quantile values: 0.25 -1.027802\n0.50 -0.113901\n0.75 0.903622\nName: 10322, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2714057537846697, std values: 0.7421769993015409, min values: -1.947761146849983, max values: 2.920585992232296, median values: 0.3261265966380502, and quantile values: 0.25 -0.221844\n0.50 0.326127\n0.75 0.772058\nName: 10323, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14827909243875992, std values: 0.8462700642279236, min values: -2.461308921153724, max values: 3.528773265847577, median values: 0.1724483848844283, and quantile values: 0.25 -0.410389\n0.50 0.172448\n0.75 0.685255\nName: 10324, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.593874049982877, std values: 1.0226287565540129, min values: -2.486556664247513, max values: 3.0, median values: 0.7268622580270241, and quantile values: 0.25 -0.043690\n0.50 0.726862\n0.75 1.375721\nName: 10325, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2140680292346759, std values: 0.851946510958056, min values: -2.221075353514828, max values: 3.670892362631932, median values: -0.3270966118761477, and quantile values: 0.25 -0.804258\n0.50 -0.327097\n0.75 0.314831\nName: 10326, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.037022296817422376, std values: 1.1068618030917308, min values: -2.6820581866633817, max values: 3.0, median values: 0.2818417809533694, and quantile values: 0.25 -0.460167\n0.50 0.281842\n0.75 0.764845\nName: 10327, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41090437483932085, std values: 0.8713493736686577, min values: -2.9472833478224456, max values: 6.0, median values: -0.3800164536818277, and quantile values: 0.25 -0.864405\n0.50 -0.380016\n0.75 0.100218\nName: 10328, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12317897163327868, std values: 0.7669110685044556, min values: -2.081148156296265, max values: 3.5581019918925243, median values: 0.0657837560510685, and quantile values: 0.25 -0.387340\n0.50 0.065784\n0.75 0.633796\nName: 10329, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16393972147298133, std values: 0.7960558790894576, min values: -2.104667097879677, max values: 4.0, median values: 0.0975057554945068, and quantile values: 0.25 -0.368644\n0.50 0.097506\n0.75 0.663036\nName: 10330, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08948758638995333, std values: 1.0072192811106224, min values: -2.778044916685896, max values: 3.0, median values: -0.0999964088928241, and quantile values: 0.25 -0.638878\n0.50 -0.099996\n0.75 0.579177\nName: 10331, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04835339734197384, std values: 0.7863927418134743, min values: -2.0922737152526745, max values: 5.0, median values: -0.1428349082876938, and quantile values: 0.25 -0.586297\n0.50 -0.142835\n0.75 0.430589\nName: 10332, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2368604282659379, std values: 1.0358806268918892, min values: -2.981718296512785, max values: 5.0, median values: -0.2330651284169707, and quantile values: 0.25 -0.859374\n0.50 -0.233065\n0.75 0.451886\nName: 10333, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2836938520175154, std values: 0.8789327185874811, min values: -2.127515441234012, max values: 3.247416277295021, median values: 0.2791987701448246, and quantile values: 0.25 -0.370944\n0.50 0.279199\n0.75 0.954183\nName: 10334, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06766850034558451, std values: 0.7652647195137267, min values: -2.100754849305273, max values: 3.110498035652072, median values: 0.082352919783882, and quantile values: 0.25 -0.464210\n0.50 0.082353\n0.75 0.552967\nName: 10335, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1017401859027694, std values: 0.8617596718381634, min values: -2.475778245535816, max values: 4.0, median values: 0.1267717288353459, and quantile values: 0.25 -0.545500\n0.50 0.126772\n0.75 0.760057\nName: 10336, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5066993605057803, std values: 1.0650030778467627, min values: -2.046407181704428, max values: 3.362228250221886, median values: 0.4704471331478529, and quantile values: 0.25 -0.328820\n0.50 0.470447\n0.75 1.376147\nName: 10337, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.008527984805017385, std values: 0.7561067571224147, min values: -2.0131371991989395, max values: 2.715682511788879, median values: -0.0142284517627415, and quantile values: 0.25 -0.475806\n0.50 -0.014228\n0.75 0.476856\nName: 10338, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3022497687621452, std values: 0.9334328370429437, min values: -2.120068558723452, max values: 3.721862465295849, median values: -0.4304593526377369, and quantile values: 0.25 -1.011132\n0.50 -0.430459\n0.75 0.359405\nName: 10339, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3546026410340254, std values: 0.7990184281837392, min values: -2.133376301904917, max values: 3.036311757241655, median values: -0.4501721434239776, and quantile values: 0.25 -0.903835\n0.50 -0.450172\n0.75 0.084286\nName: 10340, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02431647239271248, std values: 0.8569979238246368, min values: -2.7314147016889114, max values: 3.0, median values: -0.0595752168707895, and quantile values: 0.25 -0.631273\n0.50 -0.059575\n0.75 0.647539\nName: 10341, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36509519707023036, std values: 1.4716079876753159, min values: -2.93129584560762, max values: 6.0, median values: 0.3712632643596203, and quantile values: 0.25 -0.503562\n0.50 0.371263\n0.75 1.362504\nName: 10342, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.050728460082446344, std values: 0.9405339105927165, min values: -2.1232984465035774, max values: 3.3483277116524426, median values: -0.0079412769676664, and quantile values: 0.25 -0.803127\n0.50 -0.007941\n0.75 0.650048\nName: 10343, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.017266302184495454, std values: 0.9003062035790234, min values: -2.783691185534105, max values: 4.243835016543704, median values: -0.0869900267550439, and quantile values: 0.25 -0.626843\n0.50 -0.086990\n0.75 0.577339\nName: 10344, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42841834644967164, std values: 0.8635447858004661, min values: -2.0864604194430334, max values: 3.721862465295849, median values: 0.4888862760509436, and quantile values: 0.25 -0.169319\n0.50 0.488886\n0.75 1.071858\nName: 10345, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07409237982822152, std values: 0.7791469811256188, min values: -2.100754849305273, max values: 3.1395741599540568, median values: -0.0952490729115034, and quantile values: 0.25 -0.574461\n0.50 -0.095249\n0.75 0.371239\nName: 10346, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08668245990774764, std values: 0.840150088349233, min values: -2.475272102106495, max values: 4.0, median values: -0.1754120436644168, and quantile values: 0.25 -0.659830\n0.50 -0.175412\n0.75 0.475638\nName: 10347, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37872715542518653, std values: 0.7553454308135317, min values: -2.841647375415054, max values: 5.0, median values: -0.3974993516534619, and quantile values: 0.25 -0.930397\n0.50 -0.397499\n0.75 0.084260\nName: 10348, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44798140746915016, std values: 0.9728713802077018, min values: -2.634919142586459, max values: 6.0, median values: -0.6100395642083964, and quantile values: 0.25 -1.099462\n0.50 -0.610040\n0.75 0.106669\nName: 10349, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37685641398599495, std values: 0.8509776066288622, min values: -2.321510952509234, max values: 3.390469008396469, median values: 0.4154170115907361, and quantile values: 0.25 -0.205135\n0.50 0.415417\n0.75 0.991401\nName: 10350, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10027783032221466, std values: 0.8708118938472673, min values: -2.6820581866633817, max values: 3.9905524164385566, median values: 0.0912611707679275, and quantile values: 0.25 -0.402851\n0.50 0.091261\n0.75 0.653292\nName: 10351, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06538446131905543, std values: 0.8235075155349181, min values: -2.56026492390943, max values: 4.0, median values: -0.0752256742751133, and quantile values: 0.25 -0.590942\n0.50 -0.075226\n0.75 0.404364\nName: 10352, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.017354258647025785, std values: 0.8521934125278178, min values: -2.2161166709808824, max values: 6.0, median values: -0.1234962338641381, and quantile values: 0.25 -0.586161\n0.50 -0.123496\n0.75 0.595613\nName: 10353, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29609002990629557, std values: 0.8019732730319529, min values: -2.6117120822772133, max values: 5.0, median values: 0.2521813396020355, and quantile values: 0.25 -0.279949\n0.50 0.252181\n0.75 0.847618\nName: 10354, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14221183965774212, std values: 0.8155123444040256, min values: -2.071637340395318, max values: 5.0, median values: -0.2043224644615089, and quantile values: 0.25 -0.766847\n0.50 -0.204322\n0.75 0.396119\nName: 10355, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.010247598616136389, std values: 0.9352068105980854, min values: -2.673124659932621, max values: 6.0, median values: 0.0275140342592467, and quantile values: 0.25 -0.589190\n0.50 0.027514\n0.75 0.599879\nName: 10356, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19602658307540866, std values: 1.066633247990672, min values: -3.103622965243163, max values: 3.477886732511886, median values: -0.1208769581137037, and quantile values: 0.25 -0.916479\n0.50 -0.120877\n0.75 0.651012\nName: 10357, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.46211120878051304, std values: 0.738301076061546, min values: -2.068409635448683, max values: 2.846763811801109, median values: 0.5221076886485247, and quantile values: 0.25 0.012338\n0.50 0.522108\n0.75 0.944037\nName: 10358, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13778044294167116, std values: 0.7905855533462047, min values: -2.4788285026914285, max values: 4.0, median values: -0.1731192683999105, and quantile values: 0.25 -0.665596\n0.50 -0.173119\n0.75 0.360815\nName: 10359, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2777299334041342, std values: 0.8686768999620418, min values: -2.783691185534105, max values: 3.598076523509904, median values: -0.4266250430074864, and quantile values: 0.25 -0.930654\n0.50 -0.426625\n0.75 0.266079\nName: 10360, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19215714314660537, std values: 0.8376163022010704, min values: -2.120068558723452, max values: 3.0, median values: -0.3034270589495721, and quantile values: 0.25 -0.791310\n0.50 -0.303427\n0.75 0.317316\nName: 10361, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20768552154714742, std values: 0.7805199855348381, min values: -2.0119890946458487, max values: 5.0, median values: -0.2740769476161942, and quantile values: 0.25 -0.724937\n0.50 -0.274077\n0.75 0.237765\nName: 10362, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08570775415830466, std values: 0.8479525553107315, min values: -2.6404955031131814, max values: 6.0, median values: 0.0226910713510794, and quantile values: 0.25 -0.520402\n0.50 0.022691\n0.75 0.636966\nName: 10363, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11493407713023127, std values: 0.8406363311319888, min values: -2.083073092108871, max values: 3.124705982383484, median values: 0.1898614385155188, and quantile values: 0.25 -0.457980\n0.50 0.189861\n0.75 0.751702\nName: 10364, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07800271805334198, std values: 0.7914791546024313, min values: -2.1976806093842884, max values: 6.0, median values: 0.1081923522025895, and quantile values: 0.25 -0.467371\n0.50 0.108192\n0.75 0.583318\nName: 10365, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20248635654428723, std values: 0.7691828161406967, min values: -2.1548749249906303, max values: 5.0, median values: -0.1859092469970735, and quantile values: 0.25 -0.738869\n0.50 -0.185909\n0.75 0.286690\nName: 10366, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.222555077376474, std values: 1.0088184380866907, min values: -2.57895707818966, max values: 6.0, median values: 0.3410688824348581, and quantile values: 0.25 -0.457658\n0.50 0.341069\n0.75 0.998896\nName: 10367, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22402979419748106, std values: 1.0752008835890485, min values: -2.928515832252388, max values: 3.155170554159904, median values: 0.2367174796454468, and quantile values: 0.25 -0.509365\n0.50 0.236717\n0.75 1.035370\nName: 10368, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46679594208337183, std values: 0.8381055033183866, min values: -2.4737574649270093, max values: 3.3483277116524426, median values: -0.5804149801140097, and quantile values: 0.25 -1.088964\n0.50 -0.580415\n0.75 0.021042\nName: 10369, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05410235737984564, std values: 1.0226422412222294, min values: -2.5293911731823453, max values: 3.721862465295849, median values: 0.0760344962014963, and quantile values: 0.25 -0.568624\n0.50 0.076034\n0.75 0.700969\nName: 10370, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10119717706073468, std values: 0.7600649074990535, min values: -2.2262971094910258, max values: 2.975781014280383, median values: -0.1086355783248698, and quantile values: 0.25 -0.627312\n0.50 -0.108636\n0.75 0.315787\nName: 10371, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.1950075001194758, std values: 1.187177436631468, min values: -2.727901130262228, max values: 4.0, median values: -1.6988505925848862, and quantile values: 0.25 -2.140406\n0.50 -1.698851\n0.75 -0.378981\nName: 10372, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4358044957962185, std values: 0.8379988801200634, min values: -2.2646642745254217, max values: 3.025409039429847, median values: -0.564514875965892, and quantile values: 0.25 -1.037473\n0.50 -0.564515\n0.75 0.094299\nName: 10373, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25096507643910615, std values: 0.9328908487957626, min values: -2.891990595045606, max values: 6.0, median values: -0.2520343162769833, and quantile values: 0.25 -0.814000\n0.50 -0.252034\n0.75 0.295567\nName: 10374, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13377865882677945, std values: 0.8485550318623295, min values: -2.537573835824454, max values: 6.0, median values: 0.1995147400026728, and quantile values: 0.25 -0.458269\n0.50 0.199515\n0.75 0.726801\nName: 10375, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3373204904800323, std values: 0.9860425146975682, min values: -2.710223074556336, max values: 4.0, median values: -0.4782333721598794, and quantile values: 0.25 -1.124917\n0.50 -0.478233\n0.75 0.351338\nName: 10376, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.054282552846784675, std values: 0.8935874682149533, min values: -1.9780458604416296, max values: 3.415255285860171, median values: -0.1249491054550271, and quantile values: 0.25 -0.710157\n0.50 -0.124949\n0.75 0.524274\nName: 10377, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2121716898954833, std values: 0.7701114450028614, min values: -2.4737574649270093, max values: 3.124705982383484, median values: 0.1428825723981541, and quantile values: 0.25 -0.297112\n0.50 0.142883\n0.75 0.715514\nName: 10378, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5401122309312671, std values: 0.9201991134987881, min values: -3.2119459948042475, max values: 2.9078251235230463, median values: -0.6327735714778877, and quantile values: 0.25 -1.093684\n0.50 -0.632774\n0.75 -0.023052\nName: 10379, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4150812661296066, std values: 1.1939732322432486, min values: -2.949186837165601, max values: 4.0, median values: -0.3267479996164301, and quantile values: 0.25 -1.205372\n0.50 -0.326748\n0.75 0.428205\nName: 10380, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12976306038071944, std values: 0.8095542608277588, min values: -2.6652153608723106, max values: 3.0, median values: 0.1714778022942884, and quantile values: 0.25 -0.423211\n0.50 0.171478\n0.75 0.680622\nName: 10381, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25582747296540376, std values: 1.1078354166588202, min values: -2.855306289371099, max values: 6.0, median values: -0.0677883716018803, and quantile values: 0.25 -1.012050\n0.50 -0.067788\n0.75 0.516895\nName: 10382, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06450439316122611, std values: 0.8571390272295368, min values: -2.0669513462950864, max values: 4.0, median values: 0.0844532001187782, and quantile values: 0.25 -0.533396\n0.50 0.084453\n0.75 0.607287\nName: 10383, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13149199764823177, std values: 0.8618291885095956, min values: -2.623568901859613, max values: 4.0, median values: -0.1238850573171807, and quantile values: 0.25 -0.674006\n0.50 -0.123885\n0.75 0.388763\nName: 10384, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06692707201373752, std values: 0.7847967377451672, min values: -2.6635706018350787, max values: 3.103622965243153, median values: -0.0330943462783199, and quantile values: 0.25 -0.492512\n0.50 -0.033094\n0.75 0.401979\nName: 10385, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0032568248061182166, std values: 0.7989756935092371, min values: -1.9804483563241992, max values: 6.0, median values: -0.0905491999127208, and quantile values: 0.25 -0.581476\n0.50 -0.090549\n0.75 0.524717\nName: 10386, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22781296064052659, std values: 0.9303390610014847, min values: -2.274798171373011, max values: 3.379902545505621, median values: -0.2767657147825836, and quantile values: 0.25 -0.983643\n0.50 -0.276766\n0.75 0.482881\nName: 10387, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06705726308456711, std values: 0.8890921927845441, min values: -2.919359491767569, max values: 6.0, median values: 0.0105648200257181, and quantile values: 0.25 -0.578261\n0.50 0.010565\n0.75 0.657918\nName: 10388, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5479529681980302, std values: 1.2692447475327167, min values: -2.9090251609554527, max values: 6.0, median values: -0.5213379053285147, and quantile values: 0.25 -1.608464\n0.50 -0.521338\n0.75 0.418459\nName: 10389, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23161118216311613, std values: 0.7947562048071212, min values: -2.556631690482005, max values: 3.197902420311553, median values: -0.2919637290636797, and quantile values: 0.25 -0.801293\n0.50 -0.291964\n0.75 0.300731\nName: 10390, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02415732287435844, std values: 1.1271413107768553, min values: -2.9797100147087465, max values: 5.0, median values: 0.1831702596709994, and quantile values: 0.25 -0.534793\n0.50 0.183170\n0.75 0.743907\nName: 10391, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3512148406930751, std values: 0.6880752551996996, min values: -2.4176069991382847, max values: 6.0, median values: 0.3881695391799079, and quantile values: 0.25 -0.032888\n0.50 0.388170\n0.75 0.766765\nName: 10392, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20666882224486682, std values: 0.7676030359904968, min values: -2.2915911556076085, max values: 3.627976272701048, median values: 0.1726291747665212, and quantile values: 0.25 -0.319349\n0.50 0.172629\n0.75 0.716226\nName: 10393, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.707474668712785, std values: 1.0931180767402178, min values: -2.5953860446419177, max values: 3.455472209455805, median values: 0.8622862934340622, and quantile values: 0.25 0.052445\n0.50 0.862286\n0.75 1.538013\nName: 10394, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13491559141099288, std values: 0.8888806231897749, min values: -2.841647375415054, max values: 3.867701659180865, median values: -0.0612857749845031, and quantile values: 0.25 -0.689083\n0.50 -0.061286\n0.75 0.442512\nName: 10395, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5118650030945644, std values: 0.928813695267553, min values: -2.8282523283494294, max values: 3.236860296211547, median values: -0.609242652920284, and quantile values: 0.25 -1.144737\n0.50 -0.609243\n0.75 0.067054\nName: 10396, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04321261278539303, std values: 0.8627979017883602, min values: -2.20684812774738, max values: 5.0, median values: -0.0517419081116914, and quantile values: 0.25 -0.604356\n0.50 -0.051742\n0.75 0.639496\nName: 10397, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16233370249424217, std values: 0.7959464754983168, min values: -1.9909716934659605, max values: 4.0, median values: -0.2195671197773781, and quantile values: 0.25 -0.700549\n0.50 -0.219567\n0.75 0.305259\nName: 10398, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2360227130039395, std values: 0.7852943453519504, min values: -1.995451107828815, max values: 3.434669824302974, median values: 0.3006828610196267, and quantile values: 0.25 -0.288488\n0.50 0.300683\n0.75 0.794403\nName: 10399, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03881383138420075, std values: 0.9613606322396204, min values: -2.497627580948261, max values: 3.627976272701048, median values: -0.0702278537209654, and quantile values: 0.25 -0.599523\n0.50 -0.070228\n0.75 0.586353\nName: 10400, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21317396666200256, std values: 0.9351429365902155, min values: -2.730840794324401, max values: 6.0, median values: -0.3170317483304571, and quantile values: 0.25 -0.986192\n0.50 -0.317032\n0.75 0.439719\nName: 10401, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2485581315953868, std values: 1.1827626275727436, min values: -2.673124659932621, max values: 6.0, median values: 0.4914981404985824, and quantile values: 0.25 -0.441453\n0.50 0.491498\n0.75 1.088938\nName: 10402, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10039339159968355, std values: 0.7766913906992727, min values: -2.5682675825126706, max values: 5.0, median values: 0.0656733605885178, and quantile values: 0.25 -0.390190\n0.50 0.065673\n0.75 0.599031\nName: 10403, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43158679157340735, std values: 0.8590786054337416, min values: -2.9622221028070275, max values: 6.0, median values: -0.5079666393539867, and quantile values: 0.25 -0.978475\n0.50 -0.507967\n0.75 0.092305\nName: 10404, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1107253326485242, std values: 0.9867890625942384, min values: -2.579723791499676, max values: 4.0, median values: 0.0539601136467056, and quantile values: 0.25 -0.528038\n0.50 0.053960\n0.75 0.743762\nName: 10405, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1049709221534845, std values: 0.7875655070847407, min values: -2.842989614395848, max values: 5.0, median values: -0.076650786644694, and quantile values: 0.25 -0.641198\n0.50 -0.076651\n0.75 0.402518\nName: 10406, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3417304732354723, std values: 1.0164327485953055, min values: -2.372995607737588, max values: 5.0, median values: -0.4847073083770912, and quantile values: 0.25 -1.185752\n0.50 -0.484707\n0.75 0.379868\nName: 10407, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2190424296966972, std values: 0.8386159903108424, min values: -2.687115288423959, max values: 5.0, median values: 0.1404982752883571, and quantile values: 0.25 -0.339178\n0.50 0.140498\n0.75 0.757890\nName: 10408, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3390749588038804, std values: 0.9318312551756223, min values: -2.223678652475388, max values: 3.1801075704642923, median values: -0.4941133621818447, and quantile values: 0.25 -1.053932\n0.50 -0.494113\n0.75 0.268877\nName: 10409, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.2017887920421515, std values: 1.367049132499564, min values: -2.879968592907284, max values: 4.0, median values: -1.8347111971686985, and quantile values: 0.25 -2.224737\n0.50 -1.834711\n0.75 -0.237009\nName: 10410, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39671467910717684, std values: 0.832460342084603, min values: -2.090799501270592, max values: 3.405671179043623, median values: 0.5105785032808183, and quantile values: 0.25 -0.152301\n0.50 0.510579\n0.75 1.011821\nName: 10411, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08590344883638797, std values: 0.8788277101585834, min values: -2.170177418849181, max values: 4.0, median values: -0.065253877504902, and quantile values: 0.25 -0.706968\n0.50 -0.065254\n0.75 0.464578\nName: 10412, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.018684959724691058, std values: 0.9543319171407247, min values: -2.63315074164461, max values: 6.0, median values: 0.1010199866575304, and quantile values: 0.25 -0.570039\n0.50 0.101020\n0.75 0.655628\nName: 10413, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34040971484664784, std values: 0.7543748187979817, min values: -2.027551721113156, max values: 3.17157439250477, median values: 0.4051330717886554, and quantile values: 0.25 -0.146346\n0.50 0.405133\n0.75 0.837775\nName: 10414, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07589543390659931, std values: 0.8964517578518122, min values: -2.841647375415054, max values: 3.627976272701048, median values: 0.0376826965133391, and quantile values: 0.25 -0.418101\n0.50 0.037683\n0.75 0.615800\nName: 10415, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3009451374118769, std values: 0.8880628802340346, min values: -2.094811568530773, max values: 4.0, median values: -0.3954251998194751, and quantile values: 0.25 -1.017519\n0.50 -0.395425\n0.75 0.275331\nName: 10416, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13452217801950825, std values: 0.9412775049160657, min values: -2.5156802245814003, max values: 4.0, median values: 0.1303818719962113, and quantile values: 0.25 -0.406930\n0.50 0.130382\n0.75 0.668280\nName: 10417, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6700570764965124, std values: 1.5716269178403766, min values: -3.3364384128287203, max values: 3.670892362631932, median values: -1.102838066442533, and quantile values: 0.25 -2.006121\n0.50 -1.102838\n0.75 0.855191\nName: 10418, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3499459450228812, std values: 0.9140823212708653, min values: -2.579952672199424, max values: 6.0, median values: -0.475251423031076, and quantile values: 0.25 -1.045931\n0.50 -0.475251\n0.75 0.225206\nName: 10419, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09685923474823988, std values: 0.8822968891985322, min values: -2.697026421440041, max values: 4.0, median values: -0.1195438282588374, and quantile values: 0.25 -0.707427\n0.50 -0.119544\n0.75 0.439162\nName: 10420, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47617042120866176, std values: 1.0304017812296802, min values: -2.58513369695146, max values: 4.0, median values: 0.5645425931904191, and quantile values: 0.25 -0.164990\n0.50 0.564543\n0.75 1.230464\nName: 10421, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2971799246076676, std values: 0.9027638924359049, min values: -2.148652951582969, max values: 3.397048482165858, median values: -0.3117656471776865, and quantile values: 0.25 -0.944701\n0.50 -0.311766\n0.75 0.242969\nName: 10422, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4157996269187283, std values: 0.8216025543140804, min values: -2.087432639025188, max values: 4.0, median values: 0.4037771232246911, and quantile values: 0.25 -0.080999\n0.50 0.403777\n0.75 0.960279\nName: 10423, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8482670322787081, std values: 1.2851724732493806, min values: -2.9029979285382743, max values: 3.3636961113187773, median values: -0.8099327258976677, and quantile values: 0.25 -2.092815\n0.50 -0.809933\n0.75 0.053889\nName: 10424, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15522532754182103, std values: 0.9132135740957934, min values: -2.442256129120324, max values: 6.0, median values: 0.236348903097321, and quantile values: 0.25 -0.520646\n0.50 0.236349\n0.75 0.850879\nName: 10425, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3079701301570665, std values: 1.2088234350521252, min values: -2.9622221028070275, max values: 6.0, median values: -0.1942936647103716, and quantile values: 0.25 -1.101884\n0.50 -0.194294\n0.75 0.569261\nName: 10426, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3660237617475526, std values: 0.7259650769433309, min values: -2.688157591415518, max values: 5.0, median values: 0.3646385495273307, and quantile values: 0.25 -0.082199\n0.50 0.364639\n0.75 0.824516\nName: 10427, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1460955809440797, std values: 1.1047373545147732, min values: -2.622709665346679, max values: 3.224152805256112, median values: 0.1427792651553385, and quantile values: 0.25 -0.589668\n0.50 0.142779\n0.75 0.853352\nName: 10428, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40119287424704586, std values: 1.2181278758460923, min values: -2.733804248449497, max values: 3.0, median values: -0.4425722666129942, and quantile values: 0.25 -1.278056\n0.50 -0.442572\n0.75 0.446463\nName: 10429, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18787529875065756, std values: 1.1905395183435, min values: -2.697026421440041, max values: 4.0, median values: 0.4325409793481963, and quantile values: 0.25 -0.368408\n0.50 0.432541\n0.75 0.990678\nName: 10430, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02038428342641922, std values: 1.0525618659191225, min values: -2.134449825097116, max values: 6.0, median values: -0.0977547933623858, and quantile values: 0.25 -0.818625\n0.50 -0.097755\n0.75 0.719372\nName: 10431, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42634710278937465, std values: 0.8542020717789385, min values: -2.7648443048846945, max values: 3.141939528112806, median values: -0.5943148161037951, and quantile values: 0.25 -1.026804\n0.50 -0.594315\n0.75 0.045676\nName: 10432, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14187927950166804, std values: 1.3064024350673513, min values: -2.815821936576896, max values: 3.415255285860171, median values: 0.0558236283624245, and quantile values: 0.25 -0.979497\n0.50 0.055824\n0.75 0.832357\nName: 10433, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13767679850596728, std values: 1.0743587216370192, min values: -2.510124273981921, max values: 3.241738645014612, median values: 0.1597369278495387, and quantile values: 0.25 -0.561001\n0.50 0.159737\n0.75 0.932585\nName: 10434, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3619008266812633, std values: 1.010146650305953, min values: -2.928515832252388, max values: 3.191712471143802, median values: -0.2923950156180156, and quantile values: 0.25 -0.965511\n0.50 -0.292395\n0.75 0.273591\nName: 10435, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17001420050739335, std values: 0.8884247886847954, min values: -2.6466193392086392, max values: 4.0, median values: 0.2286529700467945, and quantile values: 0.25 -0.340743\n0.50 0.228653\n0.75 0.709621\nName: 10436, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.00660949820224378, std values: 0.9593021993973259, min values: -2.2038853164231766, max values: 3.630507857092792, median values: -0.0599338676714725, and quantile values: 0.25 -0.759763\n0.50 -0.059934\n0.75 0.682926\nName: 10437, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7793758394585972, std values: 1.175473067744456, min values: -2.461308921153724, max values: 3.528773265847577, median values: 0.6975315300612193, and quantile values: 0.25 -0.133744\n0.50 0.697532\n0.75 1.766168\nName: 10438, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03862230274426068, std values: 0.8638493666438187, min values: -2.662750916816848, max values: 5.0, median values: -0.1025430515693382, and quantile values: 0.25 -0.605576\n0.50 -0.102543\n0.75 0.501564\nName: 10439, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15408359048585615, std values: 0.8359105373983862, min values: -2.6685266729136536, max values: 6.0, median values: 0.1933945973543381, and quantile values: 0.25 -0.428432\n0.50 0.193395\n0.75 0.754097\nName: 10440, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34815490948504857, std values: 0.9823679589461184, min values: -2.1415755989836294, max values: 4.0, median values: -0.4948077633705415, and quantile values: 0.25 -1.143063\n0.50 -0.494808\n0.75 0.306943\nName: 10441, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4971038513125426, std values: 1.0683304076540554, min values: -2.688157591415518, max values: 4.0, median values: -0.3927465281455824, and quantile values: 0.25 -1.242471\n0.50 -0.392747\n0.75 0.283668\nName: 10442, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35980150448325526, std values: 0.9839414030786635, min values: -2.510124273981921, max values: 3.415255285860171, median values: -0.4664483571152273, and quantile values: 0.25 -1.056361\n0.50 -0.466448\n0.75 0.306894\nName: 10443, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28428639645283416, std values: 0.8235466973618797, min values: -2.5689076212724418, max values: 5.0, median values: -0.3542249047517354, and quantile values: 0.25 -0.862526\n0.50 -0.354225\n0.75 0.207719\nName: 10444, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15040197878804004, std values: 1.5456422617041583, min values: -2.9109251266226006, max values: 4.278004674434932, median values: 0.5749395557750073, and quantile values: 0.25 -1.271346\n0.50 0.574940\n0.75 1.414755\nName: 10445, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16059549836750175, std values: 1.1302615928262123, min values: -2.001019781473294, max values: 3.784832159836258, median values: 0.104441363299198, and quantile values: 0.25 -0.744053\n0.50 0.104441\n0.75 0.977807\nName: 10446, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12774205209141895, std values: 0.8432206466246837, min values: -3.0133870328644434, max values: 3.709787027503053, median values: -0.0754419364726974, and quantile values: 0.25 -0.645929\n0.50 -0.075442\n0.75 0.414155\nName: 10447, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3093370690466838, std values: 0.9435024218838504, min values: -2.724017888297919, max values: 3.071284484560209, median values: -0.4242188543472853, and quantile values: 0.25 -0.957706\n0.50 -0.424219\n0.75 0.291734\nName: 10448, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23533843797496487, std values: 0.8929882195214509, min values: -2.497627580948261, max values: 3.1047159712539405, median values: -0.2442104542765099, and quantile values: 0.25 -0.766285\n0.50 -0.244210\n0.75 0.287398\nName: 10449, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23088000993430352, std values: 1.2669388294177122, min values: -2.7510671817729784, max values: 6.0, median values: 0.2610042741716157, and quantile values: 0.25 -0.513750\n0.50 0.261004\n0.75 1.087725\nName: 10450, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25349192987547725, std values: 0.9488873015379325, min values: -2.264034258932616, max values: 3.096891534584617, median values: -0.3173404205721764, and quantile values: 0.25 -1.039029\n0.50 -0.317340\n0.75 0.434386\nName: 10451, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15283547474789083, std values: 0.882235562164906, min values: -2.590643619371846, max values: 4.0, median values: -0.2244429463942612, and quantile values: 0.25 -0.696146\n0.50 -0.224443\n0.75 0.392695\nName: 10452, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2650662020778381, std values: 0.9976135188567491, min values: -2.6660404517971856, max values: 4.0, median values: 0.3608737821818382, and quantile values: 0.25 -0.381704\n0.50 0.360874\n0.75 0.911471\nName: 10453, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20460437178897822, std values: 0.8312959205982245, min values: -2.5039074859839925, max values: 4.0, median values: -0.2093854460459136, and quantile values: 0.25 -0.789562\n0.50 -0.209385\n0.75 0.304467\nName: 10454, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19153638324352024, std values: 0.7899355458924165, min values: -2.693453432157769, max values: 3.241738645014612, median values: 0.2638114995769587, and quantile values: 0.25 -0.292567\n0.50 0.263811\n0.75 0.703664\nName: 10455, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29460231635674605, std values: 0.9507570366605893, min values: -2.033934758806792, max values: 3.312693232344632, median values: 0.3282008132279564, and quantile values: 0.25 -0.383827\n0.50 0.328201\n0.75 1.050675\nName: 10456, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8415973918013665, std values: 0.9376055281551532, min values: -2.8663054413554843, max values: 6.0, median values: -0.9686975591837024, and quantile values: 0.25 -1.562960\n0.50 -0.968698\n0.75 -0.290583\nName: 10457, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0007683538776991818, std values: 0.7660046150190052, min values: -2.0697574862023345, max values: 3.0, median values: 0.0022689143754307, and quantile values: 0.25 -0.489233\n0.50 0.002269\n0.75 0.452449\nName: 10458, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2638231225328192, std values: 0.891454363089362, min values: -2.944950884974346, max values: 3.5021977227593246, median values: 0.3510810534465226, and quantile values: 0.25 -0.204969\n0.50 0.351081\n0.75 0.826917\nName: 10459, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4049914068909479, std values: 1.0259783205137252, min values: -2.5820330744015787, max values: 4.278004674434932, median values: 0.5142212087840491, and quantile values: 0.25 -0.261831\n0.50 0.514221\n0.75 1.147617\nName: 10460, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13170641851261033, std values: 1.08396131211487, min values: -2.476285024008804, max values: 3.0, median values: 0.0703658909311669, and quantile values: 0.25 -0.779240\n0.50 0.070366\n0.75 0.962164\nName: 10461, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6126740723171407, std values: 0.9588111288094845, min values: -2.5631847770497496, max values: 4.0, median values: 0.6534788906238708, and quantile values: 0.25 -0.089932\n0.50 0.653479\n0.75 1.376857\nName: 10462, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13455863551467412, std values: 0.8722549849242015, min values: -2.891990595045606, max values: 6.0, median values: -0.1329566216633951, and quantile values: 0.25 -0.615587\n0.50 -0.132957\n0.75 0.358254\nName: 10463, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5890094824075018, std values: 0.859006874225605, min values: -2.788272971802125, max values: 6.0, median values: -0.5919758619863759, and quantile values: 0.25 -1.253451\n0.50 -0.591976\n0.75 0.024677\nName: 10464, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15714312036018965, std values: 0.835194316260537, min values: -2.087432639025188, max values: 4.0, median values: 0.207275981359, and quantile values: 0.25 -0.391438\n0.50 0.207276\n0.75 0.676672\nName: 10465, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2805066528267013, std values: 1.1527557573677285, min values: -2.960014365184806, max values: 6.0, median values: 0.4584834615268696, and quantile values: 0.25 -0.459799\n0.50 0.458483\n0.75 1.119445\nName: 10466, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09274132831470673, std values: 0.9169125357147726, min values: -2.789830374413015, max values: 3.0, median values: -0.1870411690054677, and quantile values: 0.25 -0.747768\n0.50 -0.187041\n0.75 0.518022\nName: 10467, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45350016677001287, std values: 0.888280844706342, min values: -2.673549169958716, max values: 6.0, median values: -0.5755251788016804, and quantile values: 0.25 -1.139345\n0.50 -0.575525\n0.75 0.068875\nName: 10468, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13263932351536653, std values: 1.3651174935466939, min values: -2.825926939679757, max values: 3.162318759909359, median values: 0.3351630128095246, and quantile values: 0.25 -0.878801\n0.50 0.335163\n0.75 1.259637\nName: 10469, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2337465815037156, std values: 0.8689816828222774, min values: -2.497627580948261, max values: 3.312693232344632, median values: -0.2760673077432736, and quantile values: 0.25 -0.769672\n0.50 -0.276067\n0.75 0.321345\nName: 10470, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1400109427035371, std values: 1.137067873653758, min values: -2.64479559868397, max values: 6.0, median values: 0.1018514609581787, and quantile values: 0.25 -0.902776\n0.50 0.101851\n0.75 0.667194\nName: 10471, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.334735959664148, std values: 0.7963126592994895, min values: -2.071227793270793, max values: 6.0, median values: -0.4099097087159677, and quantile values: 0.25 -0.954443\n0.50 -0.409910\n0.75 0.183696\nName: 10472, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39344112873552667, std values: 0.9230727254291848, min values: -2.0893298172807167, max values: 3.477886732511886, median values: 0.3441698920337764, and quantile values: 0.25 -0.204126\n0.50 0.344170\n0.75 0.945514\nName: 10473, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13592544246460428, std values: 1.0268991088944575, min values: -2.099713839971814, max values: 5.0, median values: 0.0218955032544889, and quantile values: 0.25 -0.668671\n0.50 0.021896\n0.75 0.890836\nName: 10474, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30094557732784494, std values: 1.0856239605506812, min values: -2.869671295224012, max values: 6.0, median values: -0.3508045610281838, and quantile values: 0.25 -1.061739\n0.50 -0.350805\n0.75 0.445247\nName: 10475, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1079809300819141, std values: 0.9898296623856595, min values: -2.7939007019027, max values: 3.518664430018096, median values: -0.2273528021702736, and quantile values: 0.25 -0.805086\n0.50 -0.227353\n0.75 0.529952\nName: 10476, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14317080813056735, std values: 1.0400424499434275, min values: -2.58513369695146, max values: 4.0, median values: -0.0006884828808663, and quantile values: 0.25 -0.914052\n0.50 -0.000688\n0.75 0.656550\nName: 10477, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4120339461437363, std values: 0.9358608016474823, min values: -2.0407136277056424, max values: 5.0, median values: 0.4373147213027602, and quantile values: 0.25 -0.204576\n0.50 0.437315\n0.75 1.010170\nName: 10478, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03362516066483581, std values: 0.7565846896045263, min values: -2.7428415536925543, max values: 3.4758930087721422, median values: -0.0448260279769128, and quantile values: 0.25 -0.483221\n0.50 -0.044826\n0.75 0.527994\nName: 10479, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5278117506135946, std values: 1.0725217966802778, min values: -2.919359491767569, max values: 6.0, median values: 0.5206456185052503, and quantile values: 0.25 -0.276215\n0.50 0.520646\n0.75 1.398349\nName: 10480, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32986287048863366, std values: 0.9939552448097886, min values: -2.1898990596224515, max values: 3.5021977227593246, median values: -0.3769101384883644, and quantile values: 0.25 -1.131735\n0.50 -0.376910\n0.75 0.357750\nName: 10481, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6136583915021931, std values: 0.8453986336325312, min values: -2.537573835824454, max values: 6.0, median values: 0.5994896538015364, and quantile values: 0.25 0.081060\n0.50 0.599490\n0.75 1.169675\nName: 10482, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4328800096208142, std values: 0.9142320448732105, min values: -2.188341943003733, max values: 3.0, median values: 0.4758234603165279, and quantile values: 0.25 -0.239522\n0.50 0.475823\n0.75 1.177534\nName: 10483, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12837942792152363, std values: 1.2374860529345022, min values: -2.622709665346679, max values: 3.4566816047670264, median values: 0.0568993688757894, and quantile values: 0.25 -0.766910\n0.50 0.056899\n0.75 1.007785\nName: 10484, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07330629296329433, std values: 0.7003115765712241, min values: -2.3344113078233786, max values: 3.0, median values: -0.1251617255885533, and quantile values: 0.25 -0.536927\n0.50 -0.125162\n0.75 0.342647\nName: 10485, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4969922882877271, std values: 1.0829281127279644, min values: -2.5293911731823453, max values: 3.0, median values: -0.5228391422689365, and quantile values: 0.25 -1.461732\n0.50 -0.522839\n0.75 0.315439\nName: 10486, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05222219797629002, std values: 0.947074712758148, min values: -2.7542003929097176, max values: 5.0, median values: 0.0373512000909387, and quantile values: 0.25 -0.546523\n0.50 0.037351\n0.75 0.629947\nName: 10487, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.425708831606682, std values: 0.9254906066280819, min values: -2.7257183488872623, max values: 5.0, median values: -0.5130271593987716, and quantile values: 0.25 -1.196029\n0.50 -0.513027\n0.75 0.230915\nName: 10488, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26981241139551176, std values: 1.0554698240721525, min values: -2.63315074164461, max values: 6.0, median values: 0.3318358875402477, and quantile values: 0.25 -0.373670\n0.50 0.331836\n0.75 0.986363\nName: 10489, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5749041073610022, std values: 1.0326207919360042, min values: -3.0339463394215938, max values: 5.0, median values: 0.5532420415185342, and quantile values: 0.25 -0.201371\n0.50 0.553242\n0.75 1.401651\nName: 10490, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10394679745819413, std values: 0.8721703266863442, min values: -2.783691185534105, max values: 3.281452258958016, median values: -0.0931125124209423, and quantile values: 0.25 -0.769798\n0.50 -0.093113\n0.75 0.590709\nName: 10491, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0008935370581147962, std values: 0.936210094148182, min values: -2.1411075716318293, max values: 3.0, median values: -0.0369661754346925, and quantile values: 0.25 -0.681375\n0.50 -0.036966\n0.75 0.623461\nName: 10492, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1278551834572327, std values: 0.8919626804311543, min values: -2.6278943940336483, max values: 4.0, median values: -0.0713421376472221, and quantile values: 0.25 -0.724771\n0.50 -0.071342\n0.75 0.453411\nName: 10493, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23183522962889094, std values: 0.8651566543266832, min values: -2.5879430435308, max values: 3.0, median values: 0.2921363467495255, and quantile values: 0.25 -0.393436\n0.50 0.292136\n0.75 0.884507\nName: 10494, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02299849273469911, std values: 0.8276164846647969, min values: -2.5820330744015787, max values: 4.0, median values: 0.0088866906462495, and quantile values: 0.25 -0.462315\n0.50 0.008887\n0.75 0.501336\nName: 10495, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13242846347876028, std values: 1.0213105184323295, min values: -2.862971749830789, max values: 3.280245386470253, median values: -0.1531366862645198, and quantile values: 0.25 -0.959989\n0.50 -0.153137\n0.75 0.601237\nName: 10496, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09879247948803523, std values: 0.8423040677326039, min values: -3.101800431129944, max values: 6.0, median values: 0.0868476830470715, and quantile values: 0.25 -0.373518\n0.50 0.086848\n0.75 0.596629\nName: 10497, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3704747642028979, std values: 1.0063796765146011, min values: -2.2886256118035013, max values: 6.0, median values: -0.5195720278139926, and quantile values: 0.25 -1.112969\n0.50 -0.519572\n0.75 0.252742\nName: 10498, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42124084542397183, std values: 1.266540352651664, min values: -2.1695974540436334, max values: 4.278004674434932, median values: 0.2727047251976127, and quantile values: 0.25 -0.620754\n0.50 0.272705\n0.75 1.355487\nName: 10499, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31885424629117237, std values: 0.8459000791971624, min values: -2.8121055320525654, max values: 5.0, median values: 0.3890218408658251, and quantile values: 0.25 -0.270562\n0.50 0.389022\n0.75 0.940942\nName: 10500, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8774868406111798, std values: 0.9983170185207152, min values: -1.979997573305296, max values: 3.598076523509904, median values: 0.9473450632217016, and quantile values: 0.25 0.158875\n0.50 0.947345\n0.75 1.680818\nName: 10501, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2786023353954878, std values: 0.8474640463585046, min values: -2.1933871269964853, max values: 5.0, median values: 0.3474385258072001, and quantile values: 0.25 -0.296939\n0.50 0.347439\n0.75 0.840797\nName: 10502, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16093602651458486, std values: 0.8489631153045843, min values: -2.2272703849889663, max values: 3.477886732511886, median values: 0.2207294027046969, and quantile values: 0.25 -0.460687\n0.50 0.220729\n0.75 0.783800\nName: 10503, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6163161711140055, std values: 1.0115263511817538, min values: -2.981718296512785, max values: 5.0, median values: -0.6478307567865891, and quantile values: 0.25 -1.391978\n0.50 -0.647831\n0.75 0.091546\nName: 10504, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2426931795076867, std values: 0.7531264555333209, min values: -2.039577292369421, max values: 4.243835016543704, median values: 0.2259682632937757, and quantile values: 0.25 -0.232466\n0.50 0.225968\n0.75 0.698401\nName: 10505, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4301998351248092, std values: 0.9737788699412484, min values: -2.8531572940820533, max values: 6.0, median values: -0.4230047382843063, and quantile values: 0.25 -1.096644\n0.50 -0.423005\n0.75 0.163568\nName: 10506, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30757839128411185, std values: 0.8729771595845203, min values: -3.1070421433302986, max values: 3.0533207538164056, median values: -0.426953336829656, and quantile values: 0.25 -0.885811\n0.50 -0.426953\n0.75 0.240292\nName: 10507, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40828433410422943, std values: 0.7536878218519292, min values: -2.300042081328127, max values: 4.0, median values: -0.4144639176843266, and quantile values: 0.25 -0.949513\n0.50 -0.414464\n0.75 0.085970\nName: 10508, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3470300284171521, std values: 0.8813646756642448, min values: -2.050447226825624, max values: 5.0, median values: 0.3914379814443073, and quantile values: 0.25 -0.243491\n0.50 0.391438\n0.75 0.959577\nName: 10509, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06715908026667514, std values: 0.8146170577422667, min values: -2.919359491767569, max values: 6.0, median values: -0.0020929893205766, and quantile values: 0.25 -0.442079\n0.50 -0.002093\n0.75 0.580839\nName: 10510, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04262450456852441, std values: 0.8638922589379593, min values: -2.057713263041302, max values: 4.0, median values: -0.0168548575969181, and quantile values: 0.25 -0.600530\n0.50 -0.016855\n0.75 0.623016\nName: 10511, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4825782000652415, std values: 0.9415324161914153, min values: -2.891990595045606, max values: 6.0, median values: -0.5816442193653659, and quantile values: 0.25 -1.175881\n0.50 -0.581644\n0.75 0.122331\nName: 10512, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3512070160810871, std values: 0.851150562092832, min values: -2.1705561968333407, max values: 3.135426854633533, median values: -0.4612635212115051, and quantile values: 0.25 -1.002953\n0.50 -0.461264\n0.75 0.168816\nName: 10513, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1928728625630487, std values: 1.0990620200289356, min values: -2.93129584560762, max values: 6.0, median values: 0.0346513890082752, and quantile values: 0.25 -0.757120\n0.50 0.034651\n0.75 0.529081\nName: 10514, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39867174489160523, std values: 0.814400885731092, min values: -2.5122218748354936, max values: 3.0, median values: -0.4265611945257023, and quantile values: 0.25 -0.918997\n0.50 -0.426561\n0.75 0.099221\nName: 10515, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08509430270628132, std values: 0.9296935020863166, min values: -2.955641696055872, max values: 2.924424129075884, median values: -0.0901457701579713, and quantile values: 0.25 -0.576781\n0.50 -0.090146\n0.75 0.496465\nName: 10516, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30826373167366045, std values: 0.8256302878064167, min values: -2.221075353514828, max values: 3.9905524164385566, median values: -0.4366269782622858, and quantile values: 0.25 -0.882960\n0.50 -0.436627\n0.75 0.193852\nName: 10517, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07195121922643725, std values: 0.8997624132673967, min values: -2.083495767849852, max values: 5.0, median values: 0.0167446847985614, and quantile values: 0.25 -0.643759\n0.50 0.016745\n0.75 0.716867\nName: 10518, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12181852558432188, std values: 0.9524425594381272, min values: -2.579723791499676, max values: 4.0, median values: 0.2747417141480985, and quantile values: 0.25 -0.502688\n0.50 0.274742\n0.75 0.773205\nName: 10519, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32709846380518687, std values: 0.8469238866192045, min values: -2.2012167772695554, max values: 3.260388056018088, median values: 0.2654759223464299, and quantile values: 0.25 -0.237029\n0.50 0.265476\n0.75 0.890897\nName: 10520, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11498100850347455, std values: 0.967682869759372, min values: -2.955641696055872, max values: 3.630507857092792, median values: -0.0675501934091802, and quantile values: 0.25 -0.663055\n0.50 -0.067550\n0.75 0.481365\nName: 10521, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22917757809853645, std values: 0.8180628126649462, min values: -2.537573835824454, max values: 6.0, median values: 0.2804894729981311, and quantile values: 0.25 -0.369365\n0.50 0.280489\n0.75 0.856748\nName: 10522, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10849870959697268, std values: 0.8758451381978691, min values: -2.3808324358856225, max values: 3.518664430018096, median values: 0.1648224694394442, and quantile values: 0.25 -0.512543\n0.50 0.164822\n0.75 0.703603\nName: 10523, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05103585173776636, std values: 1.249048640049404, min values: -2.769191083399913, max values: 3.0, median values: 0.1492128801196637, and quantile values: 0.25 -0.563033\n0.50 0.149213\n0.75 0.804638\nName: 10524, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10203057285858054, std values: 0.9221713581503038, min values: -2.605098146828148, max values: 6.0, median values: 0.0953677833762651, and quantile values: 0.25 -0.611008\n0.50 0.095368\n0.75 0.871591\nName: 10525, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.138357934599754, std values: 0.8743609946986368, min values: -2.5445249319512966, max values: 3.247416277295021, median values: -0.2349614825116804, and quantile values: 0.25 -0.779563\n0.50 -0.234961\n0.75 0.449178\nName: 10526, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1301038106128216, std values: 0.9724483054580247, min values: -2.5820330744015787, max values: 4.0, median values: 0.2338858351235765, and quantile values: 0.25 -0.560196\n0.50 0.233886\n0.75 0.819960\nName: 10527, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2884852140648007, std values: 0.9604706619978913, min values: -3.2372475247926937, max values: 3.20751086257212, median values: -0.1946865764827526, and quantile values: 0.25 -0.874371\n0.50 -0.194687\n0.75 0.366935\nName: 10528, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6949121783107322, std values: 0.7851310216595474, min values: -2.3184884946917497, max values: 6.0, median values: -0.8252903524439872, and quantile values: 0.25 -1.265113\n0.50 -0.825290\n0.75 -0.282850\nName: 10529, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07639777240063261, std values: 0.7983869431046653, min values: -2.073656518453596, max values: 6.0, median values: 0.1116445534294182, and quantile values: 0.25 -0.466896\n0.50 0.111645\n0.75 0.615786\nName: 10530, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10016372261473899, std values: 0.9102019145833676, min values: -2.09134137830184, max values: 3.627976272701048, median values: -0.1485685522732315, and quantile values: 0.25 -0.817238\n0.50 -0.148569\n0.75 0.544861\nName: 10531, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30177683391864285, std values: 0.821584655364323, min values: -2.662750916816848, max values: 5.0, median values: -0.3839029650375393, and quantile values: 0.25 -0.876391\n0.50 -0.383903\n0.75 0.176541\nName: 10532, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0770626195971618, std values: 0.8765620567592629, min values: -2.469941537133514, max values: 4.0, median values: -0.1674750664228183, and quantile values: 0.25 -0.701909\n0.50 -0.167475\n0.75 0.480009\nName: 10533, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.4893285066612503, std values: 1.5436459984396835, min values: -2.944950884974346, max values: 4.026668017837955, median values: -2.133376301904917, and quantile values: 0.25 -2.461879\n0.50 -2.133376\n0.75 -1.643258\nName: 10534, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2226534139588009, std values: 0.7513744973946024, min values: -1.868295129520804, max values: 5.0, median values: 0.2644967613588516, and quantile values: 0.25 -0.272435\n0.50 0.264497\n0.75 0.693227\nName: 10535, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43153987480580447, std values: 1.0608514999567562, min values: -2.5293911731823453, max values: 3.0, median values: -0.2705045226677295, and quantile values: 0.25 -1.196466\n0.50 -0.270505\n0.75 0.315775\nName: 10536, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.308269187123932, std values: 0.8202700133994301, min values: -2.0407136277056424, max values: 5.0, median values: 0.3387984210092667, and quantile values: 0.25 -0.204339\n0.50 0.338798\n0.75 0.813042\nName: 10537, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21885026891084122, std values: 0.916347415002606, min values: -2.684072796644972, max values: 6.0, median values: -0.1812478503148635, and quantile values: 0.25 -0.726124\n0.50 -0.181248\n0.75 0.352489\nName: 10538, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21129449914906104, std values: 1.1475730302681069, min values: -2.5953860446419177, max values: 3.9905524164385566, median values: 0.1102177309577406, and quantile values: 0.25 -0.564034\n0.50 0.110218\n0.75 0.962239\nName: 10539, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27360059186441565, std values: 0.9449622020183388, min values: -2.162123508609361, max values: 5.0, median values: -0.3440764225449915, and quantile values: 0.25 -1.032184\n0.50 -0.344076\n0.75 0.422539\nName: 10540, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.005436249517195208, std values: 0.8904450497433115, min values: -2.580492024304656, max values: 4.0, median values: -0.0965650002135475, and quantile values: 0.25 -0.676739\n0.50 -0.096565\n0.75 0.625256\nName: 10541, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2004823018759953, std values: 0.8381196519508421, min values: -2.188529290408645, max values: 4.0, median values: -0.2481748544827629, and quantile values: 0.25 -0.865246\n0.50 -0.248175\n0.75 0.378981\nName: 10542, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32234791398370094, std values: 0.9312998796808517, min values: -2.5399045531878324, max values: 4.0, median values: -0.3622261539591713, and quantile values: 0.25 -0.963603\n0.50 -0.362226\n0.75 0.247353\nName: 10543, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12206279135304982, std values: 0.7819430884824873, min values: -2.1149759989911825, max values: 5.0, median values: -0.1207220058792886, and quantile values: 0.25 -0.674628\n0.50 -0.120722\n0.75 0.377856\nName: 10544, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.034106839421675784, std values: 0.7524655833339926, min values: -2.6023368942328267, max values: 3.0, median values: -0.1118110308016824, and quantile values: 0.25 -0.519644\n0.50 -0.111811\n0.75 0.444321\nName: 10545, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44213379234745015, std values: 1.0919263932183014, min values: -2.6820581866633817, max values: 3.405671179043623, median values: 0.6629479423914036, and quantile values: 0.25 -0.108359\n0.50 0.662948\n0.75 1.196369\nName: 10546, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3542666072970555, std values: 0.784798914329628, min values: -2.838932175687192, max values: 4.0, median values: -0.4532890946394924, and quantile values: 0.25 -0.878982\n0.50 -0.453289\n0.75 0.100094\nName: 10547, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01572797260677988, std values: 0.9088822813211919, min values: -2.8350118695332047, max values: 5.0, median values: 0.060540832767774, and quantile values: 0.25 -0.517455\n0.50 0.060541\n0.75 0.579307\nName: 10548, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3162809240394197, std values: 1.323328305226227, min values: -2.679056533720636, max values: 5.0, median values: -0.0421054904221622, and quantile values: 0.25 -1.795341\n0.50 -0.042105\n0.75 0.670208\nName: 10549, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.775381252995266, std values: 0.93383860939704, min values: -2.572123985342288, max values: 4.0, median values: 0.9021968305832992, and quantile values: 0.25 0.115284\n0.50 0.902197\n0.75 1.481507\nName: 10550, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3267795710806715, std values: 0.7157112722999468, min values: -2.5501488616953263, max values: 3.5427287984042666, median values: 0.3349630197120154, and quantile values: 0.25 -0.105606\n0.50 0.334963\n0.75 0.753908\nName: 10551, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5553526527634999, std values: 1.2488300178969254, min values: -2.727901130262228, max values: 4.0, median values: -0.4283414451202642, and quantile values: 0.25 -1.849681\n0.50 -0.428341\n0.75 0.381614\nName: 10552, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.004050674855511112, std values: 0.7852451133503912, min values: -2.2896931241918383, max values: 3.163266084685921, median values: -0.0703233012238598, and quantile values: 0.25 -0.515227\n0.50 -0.070323\n0.75 0.488567\nName: 10553, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11387417455907871, std values: 0.7545855302323078, min values: -2.374446373878101, max values: 4.0, median values: 0.1436705576484275, and quantile values: 0.25 -0.416238\n0.50 0.143671\n0.75 0.612461\nName: 10554, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08122676027917966, std values: 0.8462415978661447, min values: -2.070226764228553, max values: 5.0, median values: -0.2218736839904607, and quantile values: 0.25 -0.681971\n0.50 -0.221874\n0.75 0.473094\nName: 10555, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09197830913776638, std values: 0.8765126970987425, min values: -2.955641696055872, max values: 2.7727068387367733, median values: -0.0401185132392089, and quantile values: 0.25 -0.625974\n0.50 -0.040119\n0.75 0.459585\nName: 10556, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.023325915008837624, std values: 0.7809307260860914, min values: -2.5689076212724418, max values: 5.0, median values: 0.0343476874858833, and quantile values: 0.25 -0.511426\n0.50 0.034348\n0.75 0.481118\nName: 10557, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.48720279929292437, std values: 1.0758938982441082, min values: -3.0687217584296813, max values: 3.3483277116524426, median values: 0.6490556594354354, and quantile values: 0.25 -0.066501\n0.50 0.649056\n0.75 1.295363\nName: 10558, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13595993264261955, std values: 0.9293454557047508, min values: -2.080908080772387, max values: 4.0, median values: -0.1659160102530911, and quantile values: 0.25 -0.875947\n0.50 -0.165916\n0.75 0.508258\nName: 10559, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22468085253996553, std values: 0.8283771908228497, min values: -2.0595468593293136, max values: 5.0, median values: 0.2436260987333027, and quantile values: 0.25 -0.288808\n0.50 0.243626\n0.75 0.738609\nName: 10560, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3302250378899091, std values: 0.9670634983901465, min values: -2.0744688186280063, max values: 3.5908526919299577, median values: -0.3412785829213621, and quantile values: 0.25 -1.147526\n0.50 -0.341279\n0.75 0.339703\nName: 10561, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2804198216690147, std values: 0.9352868692324784, min values: -2.949186837165601, max values: 4.0, median values: 0.3203057807511002, and quantile values: 0.25 -0.223128\n0.50 0.320306\n0.75 0.867490\nName: 10562, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08370637776199948, std values: 0.8445403687058619, min values: -3.074005993202373, max values: 3.784832159836258, median values: -0.1104079609266733, and quantile values: 0.25 -0.687442\n0.50 -0.110408\n0.75 0.478233\nName: 10563, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07633019484752816, std values: 0.8443823991017194, min values: -2.5563022890751474, max values: 4.0, median values: -0.1794406209261138, and quantile values: 0.25 -0.680183\n0.50 -0.179441\n0.75 0.472663\nName: 10564, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5108640670845255, std values: 0.9788152704918945, min values: -3.00972886875607, max values: 3.0, median values: -0.5602921833435748, and quantile values: 0.25 -1.125747\n0.50 -0.560292\n0.75 0.127521\nName: 10565, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.057872501880117375, std values: 0.9873545682840322, min values: -2.739804196611005, max values: 6.0, median values: 0.1866658229748542, and quantile values: 0.25 -0.513813\n0.50 0.186666\n0.75 0.705942\nName: 10566, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4206008486263123, std values: 0.952518152241997, min values: -3.074005993202373, max values: 3.528773265847577, median values: -0.5080702370833999, and quantile values: 0.25 -1.037754\n0.50 -0.508070\n0.75 0.078263\nName: 10567, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0831353991005435, std values: 0.82190260199378, min values: -2.748993280390358, max values: 3.518664430018096, median values: -0.1273552612300135, and quantile values: 0.25 -0.606627\n0.50 -0.127355\n0.75 0.376526\nName: 10568, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.443244237113996, std values: 0.9360844257274926, min values: -2.525362520654854, max values: 5.0, median values: 0.4840879603413742, and quantile values: 0.25 -0.244113\n0.50 0.484088\n0.75 1.185800\nName: 10569, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5128063795653145, std values: 0.9720520579606776, min values: -1.945964733349654, max values: 3.0, median values: 0.5444455394203987, and quantile values: 0.25 -0.225406\n0.50 0.544446\n0.75 1.321506\nName: 10570, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6974572183592421, std values: 0.9314388963705924, min values: -2.077797959314264, max values: 3.215720519334646, median values: 0.8057729846439391, and quantile values: 0.25 0.050666\n0.50 0.805773\n0.75 1.420808\nName: 10571, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.007849579445673929, std values: 0.801250266949235, min values: -2.6412681606926487, max values: 3.415255285860171, median values: -0.0210835398732436, and quantile values: 0.25 -0.530088\n0.50 -0.021084\n0.75 0.473390\nName: 10572, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7099823800114697, std values: 1.1287216239358526, min values: -2.6800544037614658, max values: 4.0, median values: -0.776556715502478, and quantile values: 0.25 -1.684518\n0.50 -0.776557\n0.75 0.047571\nName: 10573, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22542773608963923, std values: 1.1894242943420006, min values: -2.867984306888309, max values: 3.2266531185902125, median values: -0.025362542141419, and quantile values: 0.25 -1.062326\n0.50 -0.025363\n0.75 0.667935\nName: 10574, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2366626773092449, std values: 1.084071179330938, min values: -3.598076523509849, max values: 2.9325508639431663, median values: 0.4761148905805418, and quantile values: 0.25 -0.396915\n0.50 0.476115\n0.75 1.016251\nName: 10575, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8327165163423761, std values: 1.1325550692850697, min values: -2.064161388650449, max values: 3.784832159836258, median values: 0.7861448873840544, and quantile values: 0.25 -0.035246\n0.50 0.786145\n0.75 1.724981\nName: 10576, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4065639523164105, std values: 0.7682008221115629, min values: -2.003208525075155, max values: 3.1047159712539405, median values: 0.4659606282290476, and quantile values: 0.25 -0.105866\n0.50 0.465961\n0.75 0.921689\nName: 10577, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4051850668953481, std values: 0.9306729325191705, min values: -2.7257183488872623, max values: 5.0, median values: 0.4613423848443193, and quantile values: 0.25 -0.257757\n0.50 0.461342\n0.75 1.121969\nName: 10578, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34434125844953295, std values: 0.9347680107767964, min values: -2.579952672199424, max values: 6.0, median values: 0.309595099882398, and quantile values: 0.25 -0.315584\n0.50 0.309595\n0.75 0.954530\nName: 10579, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14192720319075258, std values: 0.9215150786015517, min values: -2.0864604194430334, max values: 3.784832159836258, median values: 0.1453393096887922, and quantile values: 0.25 -0.534826\n0.50 0.145339\n0.75 0.820885\nName: 10580, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3124202214720756, std values: 0.7434811428134541, min values: -2.0452855196623214, max values: 3.5581019918925243, median values: -0.3733349827385311, and quantile values: 0.25 -0.841911\n0.50 -0.373335\n0.75 0.143957\nName: 10581, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08675614375718359, std values: 1.1407397576217428, min values: -2.5293911731823453, max values: 3.260388056018088, median values: 0.0819615966904111, and quantile values: 0.25 -0.774959\n0.50 0.081962\n0.75 0.756738\nName: 10582, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08145544776869475, std values: 0.8226120202777263, min values: -2.191255458458372, max values: 5.0, median values: -0.1463413246652086, and quantile values: 0.25 -0.641430\n0.50 -0.146341\n0.75 0.456954\nName: 10583, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.054984379520175784, std values: 1.144879366447565, min values: -2.542889966859849, max values: 6.0, median values: -0.0904797882142264, and quantile values: 0.25 -1.048548\n0.50 -0.090480\n0.75 0.833136\nName: 10584, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.46364186524251644, std values: 0.8961912356822948, min values: -2.788272971802125, max values: 3.434669824302974, median values: 0.5319993672437525, and quantile values: 0.25 -0.141044\n0.50 0.531999\n0.75 1.158958\nName: 10585, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12698021994216174, std values: 0.9924522010902328, min values: -2.56026492390943, max values: 4.0, median values: 0.1786536584335213, and quantile values: 0.25 -0.469555\n0.50 0.178654\n0.75 0.764919\nName: 10586, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07745881222857828, std values: 0.844631424965525, min values: -2.061387406231346, max values: 3.124705982383484, median values: -0.0098867744550702, and quantile values: 0.25 -0.501658\n0.50 -0.009887\n0.75 0.626463\nName: 10587, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.015525385385767827, std values: 0.9809559328184398, min values: -2.486556664247513, max values: 3.0, median values: -0.0207385892110023, and quantile values: 0.25 -0.637402\n0.50 -0.020739\n0.75 0.707939\nName: 10588, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.008245653953025274, std values: 0.8037405796502866, min values: -2.1227739687253626, max values: 3.0, median values: 0.0300912647624078, and quantile values: 0.25 -0.563102\n0.50 0.030091\n0.75 0.548786\nName: 10589, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2864689984579618, std values: 0.8617708624998084, min values: -2.579952672199424, max values: 6.0, median values: 0.3731123178081559, and quantile values: 0.25 -0.329771\n0.50 0.373112\n0.75 0.945662\nName: 10590, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.440519129245912, std values: 0.9160408872401684, min values: -2.1795576641099137, max values: 6.0, median values: 0.5141269150895016, and quantile values: 0.25 -0.181032\n0.50 0.514127\n0.75 1.117482\nName: 10591, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1588055641721055, std values: 0.7056710693482674, min values: -2.6115251494731915, max values: 3.0, median values: -0.1861994305390543, and quantile values: 0.25 -0.632551\n0.50 -0.186199\n0.75 0.252921\nName: 10592, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2131517740398739, std values: 1.1438830441442998, min values: -2.92272757463548, max values: 6.0, median values: -0.0406041019740534, and quantile values: 0.25 -0.753940\n0.50 -0.040604\n0.75 0.529653\nName: 10593, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3914390594163905, std values: 0.9192114299276369, min values: -2.5276070053531696, max values: 5.0, median values: -0.512399006134619, and quantile values: 0.25 -1.068343\n0.50 -0.512399\n0.75 0.169626\nName: 10594, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14661261669518405, std values: 0.7449371091524323, min values: -2.919359491767569, max values: 6.0, median values: -0.1315260974591261, and quantile values: 0.25 -0.636387\n0.50 -0.131526\n0.75 0.307086\nName: 10595, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5539022496877158, std values: 1.136780574196033, min values: -2.5351744724125003, max values: 4.278004674434932, median values: 0.4409934286420623, and quantile values: 0.25 -0.268121\n0.50 0.440993\n0.75 1.267854\nName: 10596, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13551649039050442, std values: 0.9461385277995217, min values: -2.090851036172633, max values: 3.630507857092792, median values: -0.180028363613189, and quantile values: 0.25 -0.910755\n0.50 -0.180028\n0.75 0.534889\nName: 10597, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.052053317967971906, std values: 0.9340052644666493, min values: -2.7510671817729784, max values: 6.0, median values: -0.0497289488234866, and quantile values: 0.25 -0.682046\n0.50 -0.049729\n0.75 0.561259\nName: 10598, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3840836041693672, std values: 0.7699050188845588, min values: -2.126457643282694, max values: 3.379902545505621, median values: -0.4724119367158093, and quantile values: 0.25 -0.917528\n0.50 -0.472412\n0.75 0.035246\nName: 10599, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6728210834728822, std values: 1.0752350802102582, min values: -2.815821936576896, max values: 3.110498035652072, median values: 0.8508039372734122, and quantile values: 0.25 0.074067\n0.50 0.850804\n0.75 1.452497\nName: 10600, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2118777299162454, std values: 0.831034974875853, min values: -2.1819329670786605, max values: 4.0, median values: 0.2124278804236614, and quantile values: 0.25 -0.378286\n0.50 0.212428\n0.75 0.819497\nName: 10601, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02408101006134515, std values: 0.9144148573191706, min values: -2.855306289371099, max values: 6.0, median values: -0.0378005728128923, and quantile values: 0.25 -0.599710\n0.50 -0.037801\n0.75 0.617887\nName: 10602, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.039449681094262605, std values: 1.0208638765878786, min values: -2.5213149333948146, max values: 3.667275230673496, median values: -0.0030724904146963, and quantile values: 0.25 -0.819613\n0.50 -0.003072\n0.75 0.800838\nName: 10603, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15928797168028433, std values: 0.775883863322957, min values: -2.275531026921315, max values: 6.0, median values: 0.205250519369456, and quantile values: 0.25 -0.390705\n0.50 0.205251\n0.75 0.699386\nName: 10604, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.062348136060739634, std values: 0.7941816262962986, min values: -2.226424194672579, max values: 4.0, median values: 0.1185030435096716, and quantile values: 0.25 -0.506129\n0.50 0.118503\n0.75 0.596714\nName: 10605, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27494412139082725, std values: 0.7762565336162296, min values: -1.967443887800321, max values: 6.0, median values: 0.3572714909742324, and quantile values: 0.25 -0.234735\n0.50 0.357271\n0.75 0.788142\nName: 10606, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3905267312887898, std values: 0.8394190544020828, min values: -2.710223074556336, max values: 4.0, median values: 0.435960616202133, and quantile values: 0.25 -0.169511\n0.50 0.435961\n0.75 0.967729\nName: 10607, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2630842685884109, std values: 0.863504399802476, min values: -2.14258071674473, max values: 6.0, median values: 0.2575011678700402, and quantile values: 0.25 -0.291504\n0.50 0.257501\n0.75 0.800715\nName: 10608, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18646106094735704, std values: 0.9918877247862183, min values: -2.8246479422601736, max values: 5.0, median values: -0.2734656727632849, and quantile values: 0.25 -0.885427\n0.50 -0.273466\n0.75 0.493460\nName: 10609, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17888396003236995, std values: 1.054989930588964, min values: -2.6466193392086392, max values: 4.0, median values: 0.3550601954872571, and quantile values: 0.25 -0.346359\n0.50 0.355060\n0.75 0.863885\nName: 10610, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5168754670758567, std values: 0.8209428119375524, min values: -2.299460330888208, max values: 2.7650700730033, median values: -0.6560722609092994, and quantile values: 0.25 -1.154953\n0.50 -0.656072\n0.75 0.008036\nName: 10611, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1781182874888687, std values: 0.8765212220403985, min values: -2.3184884946917497, max values: 6.0, median values: -0.2587824233200292, and quantile values: 0.25 -0.774250\n0.50 -0.258782\n0.75 0.312746\nName: 10612, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34263920114428825, std values: 1.4117849015968358, min values: -2.724017888297919, max values: 3.667275230673496, median values: 0.2537736879443543, and quantile values: 0.25 -0.763426\n0.50 0.253774\n0.75 1.587918\nName: 10613, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10074284219487396, std values: 0.9002394814830825, min values: -2.6899145007874274, max values: 3.670892362631932, median values: -0.1265496399785147, and quantile values: 0.25 -0.805610\n0.50 -0.126550\n0.75 0.519856\nName: 10614, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27759538450615934, std values: 0.8834458082748667, min values: -2.486556664247513, max values: 3.3483277116524426, median values: -0.2922513082768794, and quantile values: 0.25 -0.859095\n0.50 -0.292251\n0.75 0.256647\nName: 10615, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21026643687660249, std values: 0.809626456597689, min values: -2.3184884946917497, max values: 6.0, median values: -0.2993865374502789, and quantile values: 0.25 -0.761970\n0.50 -0.299387\n0.75 0.290336\nName: 10616, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11293761076719594, std values: 0.8207157409096287, min values: -2.87684958111886, max values: 3.1047159712539405, median values: -0.0600442233128534, and quantile values: 0.25 -0.648356\n0.50 -0.060044\n0.75 0.423262\nName: 10617, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24349164977806334, std values: 0.9319066213072166, min values: -2.5156802245814003, max values: 4.0, median values: 0.2030291055436629, and quantile values: 0.25 -0.332942\n0.50 0.203029\n0.75 0.858379\nName: 10618, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11391983939177526, std values: 0.8775858608835612, min values: -2.622408470084112, max values: 3.2696814875916886, median values: -0.0589786289547643, and quantile values: 0.25 -0.619786\n0.50 -0.058979\n0.75 0.424840\nName: 10619, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.053948252361410834, std values: 0.9497216449761954, min values: -2.93129584560762, max values: 6.0, median values: -0.1066041113140792, and quantile values: 0.25 -0.633762\n0.50 -0.106604\n0.75 0.549947\nName: 10620, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11913869367233028, std values: 1.0955234755319267, min values: -2.64479559868397, max values: 6.0, median values: 0.3098003172129738, and quantile values: 0.25 -0.504984\n0.50 0.309800\n0.75 0.889632\nName: 10621, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24508506576131814, std values: 0.9902458682472681, min values: -2.93129584560762, max values: 6.0, median values: -0.2800292489459091, and quantile values: 0.25 -0.956356\n0.50 -0.280029\n0.75 0.437081\nName: 10622, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3687328300309037, std values: 0.9180455910748911, min values: -2.981718296512785, max values: 5.0, median values: -0.2995933516647243, and quantile values: 0.25 -0.961901\n0.50 -0.299593\n0.75 0.154186\nName: 10623, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.012945635091813491, std values: 0.815471626151219, min values: -2.12366050359468, max values: 5.0, median values: -0.0633276440559607, and quantile values: 0.25 -0.583100\n0.50 -0.063328\n0.75 0.560550\nName: 10624, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.056497106766972706, std values: 0.7497134212649066, min values: -2.0085619686347487, max values: 3.5581019918925243, median values: 0.0394189631650715, and quantile values: 0.25 -0.440204\n0.50 0.039419\n0.75 0.500564\nName: 10625, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3006470665418295, std values: 0.9684396620143049, min values: -2.6850842010492566, max values: 6.0, median values: 0.191805518274445, and quantile values: 0.25 -0.396289\n0.50 0.191806\n0.75 0.968378\nName: 10626, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.004968160950567482, std values: 0.8727445685570658, min values: -2.521882829270847, max values: 4.0, median values: 0.0549305656553383, and quantile values: 0.25 -0.567783\n0.50 0.054931\n0.75 0.593948\nName: 10627, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.222017352626728, std values: 1.0454256559865913, min values: -2.9472833478224456, max values: 6.0, median values: -0.1710221135675988, and quantile values: 0.25 -0.804858\n0.50 -0.171022\n0.75 0.410419\nName: 10628, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19774667137445365, std values: 0.8794240257586169, min values: -2.085005777586541, max values: 3.709787027503053, median values: -0.2935736439113035, and quantile values: 0.25 -0.820461\n0.50 -0.293574\n0.75 0.307191\nName: 10629, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1711387789879561, std values: 0.8824211522443018, min values: -2.6603025395856053, max values: 5.0, median values: -0.1687319700035063, and quantile values: 0.25 -0.738579\n0.50 -0.168732\n0.75 0.358708\nName: 10630, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08785754812485397, std values: 1.0281487770904076, min values: -2.20684812774738, max values: 6.0, median values: 0.1918777386049342, and quantile values: 0.25 -0.698858\n0.50 0.191878\n0.75 0.846143\nName: 10631, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0787007230295168, std values: 1.0011442631689669, min values: -1.9878808093069176, max values: 3.2266531185902125, median values: -0.0751812185960323, and quantile values: 0.25 -0.965225\n0.50 -0.075181\n0.75 0.697019\nName: 10632, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03278766369324763, std values: 0.9180305766253243, min values: -2.037689232396769, max values: 5.0, median values: -0.0291927589136476, and quantile values: 0.25 -0.800389\n0.50 -0.029193\n0.75 0.649172\nName: 10633, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.062356013096377595, std values: 0.8714716066360736, min values: -2.300042081328127, max values: 4.0, median values: -0.0047269184959499, and quantile values: 0.25 -0.592352\n0.50 -0.004727\n0.75 0.663331\nName: 10634, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2967539974449508, std values: 0.9195923662615093, min values: -2.8960111971924696, max values: 3.32433157891547, median values: 0.2380200749110906, and quantile values: 0.25 -0.312348\n0.50 0.238020\n0.75 0.892374\nName: 10635, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1327717884779701, std values: 0.9084253556182708, min values: -2.623568901859613, max values: 4.0, median values: -0.1366056972279505, and quantile values: 0.25 -0.600908\n0.50 -0.136606\n0.75 0.427169\nName: 10636, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.043235806336876216, std values: 0.9745732867369932, min values: -2.9622221028070275, max values: 4.0, median values: 0.0582683743826891, and quantile values: 0.25 -0.646879\n0.50 0.058268\n0.75 0.611299\nName: 10637, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3134085831372576, std values: 1.023012057799351, min values: -2.788272971802125, max values: 6.0, median values: -0.330265000259127, and quantile values: 0.25 -1.114549\n0.50 -0.330265\n0.75 0.372715\nName: 10638, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0014423109787279197, std values: 0.8155034301191707, min values: -1.9831430846547144, max values: 6.0, median values: 0.0091156388647657, and quantile values: 0.25 -0.529146\n0.50 0.009116\n0.75 0.488247\nName: 10639, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11535283417446413, std values: 0.7936440759436852, min values: -2.7069857806557875, max values: 3.2696814875916886, median values: -0.2053285607202403, and quantile values: 0.25 -0.687408\n0.50 -0.205329\n0.75 0.390756\nName: 10640, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06300655855640679, std values: 0.7709299421868064, min values: -2.085005777586541, max values: 5.0, median values: 0.0384864722416178, and quantile values: 0.25 -0.439396\n0.50 0.038486\n0.75 0.529788\nName: 10641, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23495154356932121, std values: 1.1502397125853525, min values: -2.6660404517971856, max values: 4.0, median values: -0.0574161076631433, and quantile values: 0.25 -0.956435\n0.50 -0.057416\n0.75 0.558400\nName: 10642, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07890767705178289, std values: 0.806923256589092, min values: -2.5689076212724418, max values: 5.0, median values: -0.0171027471432742, and quantile values: 0.25 -0.461729\n0.50 -0.017103\n0.75 0.593723\nName: 10643, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5288618249097274, std values: 1.0349923148798412, min values: -2.8246479422601736, max values: 6.0, median values: 0.7005793067572106, and quantile values: 0.25 -0.073237\n0.50 0.700579\n0.75 1.238844\nName: 10644, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2629926175637141, std values: 0.9330385223928653, min values: -2.620939317041317, max values: 4.0, median values: -0.2948259079460233, and quantile values: 0.25 -0.865938\n0.50 -0.294826\n0.75 0.279285\nName: 10645, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16824662163486173, std values: 1.0776368769523772, min values: -2.1142893459860668, max values: 5.0, median values: -0.3910110115131925, and quantile values: 0.25 -1.005731\n0.50 -0.391011\n0.75 0.490538\nName: 10646, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06317126829565095, std values: 0.8032150974569511, min values: -2.439930808627264, max values: 4.0, median values: 0.1104086971298436, and quantile values: 0.25 -0.508747\n0.50 0.110409\n0.75 0.659654\nName: 10647, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01563236128549351, std values: 0.804154177921402, min values: -2.1072720440588264, max values: 3.0774992973297404, median values: -0.0988893761627791, and quantile values: 0.25 -0.556430\n0.50 -0.098889\n0.75 0.466633\nName: 10648, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05963616523989236, std values: 1.193833959595297, min values: -2.9622221028070275, max values: 6.0, median values: 0.2684639403163176, and quantile values: 0.25 -0.612347\n0.50 0.268464\n0.75 0.937299\nName: 10649, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.030755039877600986, std values: 0.7927016641669274, min values: -2.1296382068987767, max values: 3.3483277116524426, median values: 0.0129162969548899, and quantile values: 0.25 -0.510767\n0.50 0.012916\n0.75 0.516989\nName: 10650, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 1.144101436404818, std values: 1.0165653297495623, min values: -2.4960309093026924, max values: 4.026668017837955, median values: 1.2661661051430682, and quantile values: 0.25 0.463108\n0.50 1.266166\n0.75 1.943774\nName: 10651, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2503762810270614, std values: 1.1651817682883054, min values: -2.8282523283494294, max values: 4.026668017837955, median values: 0.3438192775296471, and quantile values: 0.25 -0.486783\n0.50 0.343819\n0.75 1.171598\nName: 10652, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18125780239680023, std values: 0.8736479284984073, min values: -2.7428415536925543, max values: 5.0, median values: -0.133937510298873, and quantile values: 0.25 -0.725761\n0.50 -0.133938\n0.75 0.396067\nName: 10653, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24916353174611772, std values: 0.8921373398987219, min values: -2.657750824678472, max values: 5.0, median values: -0.2465279561079025, and quantile values: 0.25 -0.786874\n0.50 -0.246528\n0.75 0.323162\nName: 10654, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20231577600118084, std values: 0.8939506122546946, min values: -2.442256129120324, max values: 6.0, median values: 0.215404695583257, and quantile values: 0.25 -0.454266\n0.50 0.215405\n0.75 0.882798\nName: 10655, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42120246793082555, std values: 1.0661476289518812, min values: -2.622709665346679, max values: 3.336438412828754, median values: 0.6272447838564116, and quantile values: 0.25 -0.140424\n0.50 0.627245\n0.75 1.150956\nName: 10656, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5536527388143602, std values: 1.0893673681509597, min values: -2.082668095692336, max values: 5.0, median values: 0.5216218586214193, and quantile values: 0.25 -0.324930\n0.50 0.521622\n0.75 1.494233\nName: 10657, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35812385757684684, std values: 1.1355451070998124, min values: -2.3771558481240653, max values: 4.0, median values: 0.2773380504832983, and quantile values: 0.25 -0.519672\n0.50 0.277338\n0.75 1.281865\nName: 10658, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.482985278009955, std values: 1.0599730230190139, min values: -3.0687217584296813, max values: 3.2071942083719924, median values: 0.6140870287373646, and quantile values: 0.25 -0.120861\n0.50 0.614087\n0.75 1.160682\nName: 10659, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1354140484231978, std values: 0.8229779690732204, min values: -2.109891368636471, max values: 5.0, median values: -0.2304268572334828, and quantile values: 0.25 -0.658260\n0.50 -0.230427\n0.75 0.293257\nName: 10660, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1204718585611801, std values: 0.8890130637376787, min values: -2.949186837165601, max values: 4.0, median values: -0.1571043024161589, and quantile values: 0.25 -0.657712\n0.50 -0.157104\n0.75 0.426893\nName: 10661, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09076271763535508, std values: 1.0790552405079716, min values: -2.727901130262228, max values: 4.0, median values: 0.1401611208747697, and quantile values: 0.25 -0.540457\n0.50 0.140161\n0.75 0.801597\nName: 10662, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2374107745677643, std values: 0.8884781952077878, min values: -2.0754191617391693, max values: 3.362228250221886, median values: 0.2516412240039927, and quantile values: 0.25 -0.370885\n0.50 0.251641\n0.75 0.784408\nName: 10663, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0543577669625466, std values: 1.4668012230973535, min values: -3.0484008792629496, max values: 5.0, median values: -1.77116883422726, and quantile values: 0.25 -2.167862\n0.50 -1.771169\n0.75 -0.092665\nName: 10664, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5715172054076006, std values: 1.1015948254776489, min values: -2.7428415536925543, max values: 5.0, median values: -0.7463792252898029, and quantile values: 0.25 -1.402460\n0.50 -0.746379\n0.75 0.184200\nName: 10665, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23132048553673484, std values: 0.9167274072325519, min values: -2.5213149333948146, max values: 4.243835016543704, median values: 0.2483736635203801, and quantile values: 0.25 -0.407006\n0.50 0.248374\n0.75 0.872798\nName: 10666, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21838080574485272, std values: 0.7735332069655243, min values: -2.36120258340179, max values: 3.670892362631932, median values: -0.2654518560576882, and quantile values: 0.25 -0.727663\n0.50 -0.265452\n0.75 0.211971\nName: 10667, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26316123197873964, std values: 1.188972082808693, min values: -2.8889090019311845, max values: 5.0, median values: 0.2145339650323442, and quantile values: 0.25 -0.582064\n0.50 0.214534\n0.75 1.175881\nName: 10668, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1595156730859901, std values: 0.9757998802467156, min values: -2.5774281843044924, max values: 4.0, median values: -0.2144845761130363, and quantile values: 0.25 -0.866127\n0.50 -0.214485\n0.75 0.520727\nName: 10669, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7124795089079724, std values: 1.1495550744021539, min values: -2.879968592907284, max values: 4.0, median values: -0.5918274177942662, and quantile values: 0.25 -1.709699\n0.50 -0.591827\n0.75 0.080989\nName: 10670, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4436309007752491, std values: 0.9721602499511391, min values: -2.933035609461076, max values: 5.0, median values: -0.5257597367924534, and quantile values: 0.25 -1.081297\n0.50 -0.525760\n0.75 0.199769\nName: 10671, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.041835388944500604, std values: 0.8929846764546615, min values: -2.542889966859849, max values: 6.0, median values: 0.1242583633095203, and quantile values: 0.25 -0.602428\n0.50 0.124258\n0.75 0.663055\nName: 10672, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3654644696477763, std values: 0.9177194266460547, min values: -2.623568901859613, max values: 4.0, median values: 0.4358394802680456, and quantile values: 0.25 -0.108885\n0.50 0.435839\n0.75 0.948899\nName: 10673, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6428658892052718, std values: 0.9931973712874222, min values: -2.960014365184806, max values: 6.0, median values: -0.7247941349237691, and quantile values: 0.25 -1.375114\n0.50 -0.724794\n0.75 0.030304\nName: 10674, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7337342250241681, std values: 0.9656749577681881, min values: -2.620939317041317, max values: 4.026668017837955, median values: 0.7759983754612426, and quantile values: 0.25 0.064818\n0.50 0.775998\n0.75 1.471665\nName: 10675, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2632545763808345, std values: 0.8415389585014603, min values: -2.8547740449753216, max values: 5.0, median values: -0.3267479996164301, and quantile values: 0.25 -0.786048\n0.50 -0.326748\n0.75 0.221083\nName: 10676, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5218381888263647, std values: 1.039039706393394, min values: -2.222049826555007, max values: 3.405671179043623, median values: 0.5357809094671621, and quantile values: 0.25 -0.256941\n0.50 0.535781\n0.75 1.350352\nName: 10677, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18812841498659616, std values: 0.9066495051290853, min values: -2.128310354807508, max values: 3.0, median values: -0.3203347697696913, and quantile values: 0.25 -0.896008\n0.50 -0.320335\n0.75 0.432950\nName: 10678, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03391620942809309, std values: 0.9033184737353095, min values: -2.799990485600992, max values: 5.0, median values: -0.0124756324290015, and quantile values: 0.25 -0.618860\n0.50 -0.012476\n0.75 0.649464\nName: 10679, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37222588376447896, std values: 0.9264633570029209, min values: -2.209826040384377, max values: 3.405671179043623, median values: 0.3777677084275466, and quantile values: 0.25 -0.306472\n0.50 0.377768\n0.75 1.101233\nName: 10680, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.029460772296223833, std values: 0.90192220687805, min values: -2.537573835824454, max values: 6.0, median values: -0.0886548880074547, and quantile values: 0.25 -0.581420\n0.50 -0.088655\n0.75 0.538260\nName: 10681, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27575367810350165, std values: 1.2145949026345269, min values: -2.521882829270847, max values: 4.0, median values: 0.3235105439451075, and quantile values: 0.25 -0.530319\n0.50 0.323511\n0.75 1.154677\nName: 10682, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2727463453077883, std values: 0.7794277761982552, min values: -2.050447226825624, max values: 5.0, median values: 0.2269571752764314, and quantile values: 0.25 -0.229359\n0.50 0.226957\n0.75 0.784536\nName: 10683, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07970161660175648, std values: 0.9916907359988686, min values: -2.1259296353090704, max values: 5.0, median values: 0.0216036174240927, and quantile values: 0.25 -0.743109\n0.50 0.021604\n0.75 0.813272\nName: 10684, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.559301697012275, std values: 1.032755322311737, min values: -2.634919142586459, max values: 6.0, median values: 0.6387862623306961, and quantile values: 0.25 0.036736\n0.50 0.638786\n0.75 1.205606\nName: 10685, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8234375718982067, std values: 1.060991118585667, min values: -2.3184884946917497, max values: 6.0, median values: 0.7860483594543114, and quantile values: 0.25 0.047523\n0.50 0.786048\n0.75 1.680236\nName: 10686, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.9934753390383122, std values: 1.1592991851561385, min values: -2.5689076212724418, max values: 5.0, median values: 0.8978069054922895, and quantile values: 0.25 0.110836\n0.50 0.897807\n0.75 1.948164\nName: 10687, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.059475521962788186, std values: 0.7793728272736501, min values: -2.7230534645798463, max values: 3.760287110694155, median values: -0.0833845215055958, and quantile values: 0.25 -0.498096\n0.50 -0.083385\n0.75 0.356850\nName: 10688, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02865807497714378, std values: 0.8764829374508509, min values: -2.0884068356849723, max values: 3.0133870328644305, median values: 0.0153866695169643, and quantile values: 0.25 -0.558096\n0.50 0.015387\n0.75 0.582904\nName: 10689, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24401573784345004, std values: 0.7449603864602476, min values: -2.45229857681487, max values: 3.191712471143802, median values: -0.3249802427437608, and quantile values: 0.25 -0.761625\n0.50 -0.324980\n0.75 0.208129\nName: 10690, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44326900259362745, std values: 1.0001551430851592, min values: -2.15085577507779, max values: 4.0, median values: 0.5841671083807544, and quantile values: 0.25 -0.314079\n0.50 0.584167\n0.75 1.207269\nName: 10691, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1865307032258631, std values: 0.865565340157862, min values: -2.4823451998031074, max values: 3.071353155688046, median values: 0.2041218096490655, and quantile values: 0.25 -0.254695\n0.50 0.204122\n0.75 0.692789\nName: 10692, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7714209804403875, std values: 0.9244114032683083, min values: -2.769191083399913, max values: 3.0, median values: -0.7914610159688583, and quantile values: 0.25 -1.316263\n0.50 -0.791461\n0.75 -0.220971\nName: 10693, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.025361750436829724, std values: 0.8415344102399208, min values: -2.90140378513671, max values: 3.071284484560209, median values: 0.082656885024769, and quantile values: 0.25 -0.604871\n0.50 0.082657\n0.75 0.656960\nName: 10694, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1929814226765696, std values: 0.8470669672056583, min values: -2.1547684225520003, max values: 3.025409039429847, median values: 0.2741527165070568, and quantile values: 0.25 -0.410527\n0.50 0.274153\n0.75 0.799851\nName: 10695, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6765635127055003, std values: 0.9556290723852575, min values: -2.8663054413554843, max values: 6.0, median values: -0.7541596529288029, and quantile values: 0.25 -1.370701\n0.50 -0.754160\n0.75 -0.078144\nName: 10696, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19136825961024637, std values: 0.8605588345311138, min values: -2.510124273981921, max values: 3.0362913622068968, median values: -0.2651331870956709, and quantile values: 0.25 -0.756386\n0.50 -0.265133\n0.75 0.383956\nName: 10697, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6343557122594246, std values: 0.8920376665756422, min values: -2.1775880058603043, max values: 3.132053530264631, median values: 0.7845863926703929, and quantile values: 0.25 0.018105\n0.50 0.784586\n0.75 1.304108\nName: 10698, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07927469550764459, std values: 0.752242932094161, min values: -2.6635706018350787, max values: 3.247416277295021, median values: -0.1398508462173134, and quantile values: 0.25 -0.571152\n0.50 -0.139851\n0.75 0.369824\nName: 10699, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05578041418907846, std values: 1.1660461547950234, min values: -2.769191083399913, max values: 3.162318759909359, median values: 0.1950514500412755, and quantile values: 0.25 -0.553545\n0.50 0.195051\n0.75 0.708842\nName: 10700, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4997302581963613, std values: 1.139536937728285, min values: -3.242093130849769, max values: 3.0148736195915853, median values: -0.5536992878841105, and quantile values: 0.25 -1.312004\n0.50 -0.553699\n0.75 0.326874\nName: 10701, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4052605120398986, std values: 0.7413819544162674, min values: -2.0013698907234683, max values: 3.319774799707247, median values: 0.4163962577545439, and quantile values: 0.25 -0.056493\n0.50 0.416396\n0.75 0.882310\nName: 10702, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5108580059449729, std values: 0.8589624805898486, min values: -1.990286087074009, max values: 3.3014869995452325, median values: 0.5719865555026838, and quantile values: 0.25 -0.067164\n0.50 0.571987\n0.75 1.117122\nName: 10703, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01278966517295639, std values: 0.9113856684015452, min values: -2.6270253558526173, max values: 4.0, median values: 0.1315022576773759, and quantile values: 0.25 -0.511115\n0.50 0.131502\n0.75 0.645725\nName: 10704, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17045072127647534, std values: 0.8563500160641395, min values: -2.179853905073574, max values: 6.0, median values: -0.2047251479183225, and quantile values: 0.25 -0.764919\n0.50 -0.204725\n0.75 0.325329\nName: 10705, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3826009606096925, std values: 0.9536574162804256, min values: -2.700595045560446, max values: 3.784832159836258, median values: -0.506911245095999, and quantile values: 0.25 -1.164474\n0.50 -0.506911\n0.75 0.253084\nName: 10706, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14632555004604395, std values: 0.9029881145974338, min values: -2.657750824678472, max values: 5.0, median values: 0.1667787062693519, and quantile values: 0.25 -0.368859\n0.50 0.166779\n0.75 0.720396\nName: 10707, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03892042571724857, std values: 0.8788489036351972, min values: -2.8297583842718432, max values: 5.0, median values: -0.0475942198678232, and quantile values: 0.25 -0.507694\n0.50 -0.047594\n0.75 0.503347\nName: 10708, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4541491754356701, std values: 0.8125856238603678, min values: -2.6652153608723106, max values: 3.076680642207697, median values: 0.4730197891036383, and quantile values: 0.25 -0.026303\n0.50 0.473020\n0.75 0.935037\nName: 10709, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11025764771226886, std values: 0.8161517408335164, min values: -2.5879430435308, max values: 3.280245386470253, median values: 0.1078877353781288, and quantile values: 0.25 -0.361785\n0.50 0.107888\n0.75 0.576557\nName: 10710, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3118808167667178, std values: 0.8349795182943127, min values: -2.209283142861864, max values: 6.0, median values: 0.3647131030425394, and quantile values: 0.25 -0.214541\n0.50 0.364713\n0.75 0.829246\nName: 10711, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07348053368767, std values: 1.006201581656872, min values: -2.58513369695146, max values: 4.0, median values: 0.0788317420607938, and quantile values: 0.25 -0.677921\n0.50 0.078832\n0.75 0.610011\nName: 10712, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2753484770886217, std values: 1.0715313367083412, min values: -2.6800544037614658, max values: 4.0, median values: 0.3825634068361176, and quantile values: 0.25 -0.442131\n0.50 0.382563\n0.75 0.990366\nName: 10713, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26145757392251473, std values: 0.8155906306992265, min values: -1.9604341550668736, max values: 2.936634214427119, median values: 0.2796569414959345, and quantile values: 0.25 -0.267364\n0.50 0.279657\n0.75 0.813810\nName: 10714, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1901784419334062, std values: 0.8181236851785504, min values: -2.0388658839696707, max values: 5.0, median values: -0.2837850898476615, and quantile values: 0.25 -0.777078\n0.50 -0.283785\n0.75 0.318907\nName: 10715, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16790585540044656, std values: 1.105770266117637, min values: -2.607565022042742, max values: 4.0, median values: 0.0050814403280655, and quantile values: 0.25 -0.906799\n0.50 0.005081\n0.75 0.680448\nName: 10716, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24131641431707454, std values: 0.7307737715093011, min values: -2.564449278715455, max values: 3.415255285860171, median values: 0.300020232647714, and quantile values: 0.25 -0.213663\n0.50 0.300020\n0.75 0.681554\nName: 10717, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.017229867720144787, std values: 0.8172279894763241, min values: -2.8531572940820533, max values: 3.709787027503053, median values: 0.0079864856879057, and quantile values: 0.25 -0.568171\n0.50 0.007986\n0.75 0.476882\nName: 10718, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33068613946936304, std values: 0.9083052372233454, min values: -2.72346435408924, max values: 4.0, median values: 0.3335134697903942, and quantile values: 0.25 -0.356163\n0.50 0.333513\n0.75 1.018506\nName: 10719, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5158802639680068, std values: 0.8392737935693473, min values: -2.4737574649270093, max values: 3.455472209455805, median values: 0.4789545036521498, and quantile values: 0.25 -0.012385\n0.50 0.478955\n0.75 1.056479\nName: 10720, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43261512661883167, std values: 0.9695727495563138, min values: -2.5825978442440407, max values: 6.0, median values: 0.5609429779587717, and quantile values: 0.25 -0.234360\n0.50 0.560943\n0.75 1.079175\nName: 10721, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3911969893123663, std values: 1.0490275641212674, min values: -2.783691185534105, max values: 3.236860296211547, median values: -0.5375914245551549, and quantile values: 0.25 -1.222695\n0.50 -0.537591\n0.75 0.225968\nName: 10722, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24900379415833046, std values: 0.9633801825391093, min values: -2.5743883495350026, max values: 5.0, median values: 0.3750776415602029, and quantile values: 0.25 -0.265966\n0.50 0.375078\n0.75 0.857817\nName: 10723, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3629934262181948, std values: 1.1359645933287577, min values: -2.815821936576896, max values: 3.2936960268109283, median values: 0.5262291579281931, and quantile values: 0.25 -0.313912\n0.50 0.526229\n0.75 1.230317\nName: 10724, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08153952777800452, std values: 0.8384760544683588, min values: -2.7024513197886706, max values: 3.216771431244405, median values: 0.0143229994143819, and quantile values: 0.25 -0.503188\n0.50 0.014323\n0.75 0.618946\nName: 10725, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36763128252073274, std values: 0.8622341217408721, min values: -2.5422910691068967, max values: 3.236860296211547, median values: 0.439396155022313, and quantile values: 0.25 -0.240797\n0.50 0.439396\n0.75 0.965708\nName: 10726, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2174398864714316, std values: 1.2282889594294626, min values: -2.9265160609644223, max values: 6.0, median values: -0.1166164460318788, and quantile values: 0.25 -1.022529\n0.50 -0.116616\n0.75 0.621065\nName: 10727, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5267915829120338, std values: 0.9183408490175229, min values: -2.5293911731823453, max values: 3.0, median values: -0.4414183921123429, and quantile values: 0.25 -1.135510\n0.50 -0.441418\n0.75 0.087583\nName: 10728, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1754724706734582, std values: 0.817807180403305, min values: -2.525307397547021, max values: 6.0, median values: -0.2265453257959571, and quantile values: 0.25 -0.733524\n0.50 -0.226545\n0.75 0.318451\nName: 10729, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19201878823062546, std values: 1.1660063189919876, min values: -2.981718296512785, max values: 5.0, median values: -0.2701331893631649, and quantile values: 0.25 -1.152424\n0.50 -0.270133\n0.75 0.681212\nName: 10730, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21274053952617086, std values: 0.904909352473684, min values: -2.525362520654854, max values: 5.0, median values: 0.2649373523658802, and quantile values: 0.25 -0.387697\n0.50 0.264937\n0.75 0.770873\nName: 10731, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5828939840866065, std values: 1.2628656217352978, min values: -2.9265160609644223, max values: 6.0, median values: -0.3967655991886507, and quantile values: 0.25 -1.705086\n0.50 -0.396766\n0.75 0.206825\nName: 10732, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.150800305750454, std values: 0.83602328801972, min values: -2.0692886635397403, max values: 5.0, median values: 0.156983077398411, and quantile values: 0.25 -0.414377\n0.50 0.156983\n0.75 0.679051\nName: 10733, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2608628763449189, std values: 0.8840321652872961, min values: -2.0441770656208704, max values: 3.867701659180865, median values: -0.2938386780479118, and quantile values: 0.25 -0.970533\n0.50 -0.293839\n0.75 0.325296\nName: 10734, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3954851274161296, std values: 0.9877243368227011, min values: -2.4788285026914285, max values: 4.0, median values: 0.2810795077913035, and quantile values: 0.25 -0.332680\n0.50 0.281080\n0.75 1.143624\nName: 10735, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16132086059388376, std values: 0.7964389678750678, min values: -3.307038206418975, max values: 3.5908526919299577, median values: 0.2101344127575059, and quantile values: 0.25 -0.312546\n0.50 0.210134\n0.75 0.644511\nName: 10736, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17154790867417014, std values: 0.8210759353975567, min values: -2.7871422803648627, max values: 3.455472209455805, median values: -0.2264485643107358, and quantile values: 0.25 -0.660771\n0.50 -0.226449\n0.75 0.309078\nName: 10737, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21767525638143975, std values: 0.8171482882590553, min values: -2.096272675358738, max values: 3.496479817235339, median values: -0.2830469986230772, and quantile values: 0.25 -0.797333\n0.50 -0.283047\n0.75 0.301000\nName: 10738, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.013029656666901358, std values: 0.9338001118575519, min values: -2.6270253558526173, max values: 4.0, median values: -0.0685163026477423, and quantile values: 0.25 -0.729882\n0.50 -0.068516\n0.75 0.627959\nName: 10739, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09146672736336534, std values: 1.2209812317299857, min values: -2.778044916685896, max values: 3.415255285860171, median values: 0.296018443393479, and quantile values: 0.25 -0.693348\n0.50 0.296018\n0.75 1.052488\nName: 10740, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1552682787598262, std values: 1.21859345982014, min values: -2.6072570508709387, max values: 4.0, median values: 0.11298588074137, and quantile values: 0.25 -0.882179\n0.50 0.112986\n0.75 0.675943\nName: 10741, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4441871573781536, std values: 0.8283260493825432, min values: -2.5743883495350026, max values: 5.0, median values: -0.4913914682477556, and quantile values: 0.25 -0.955486\n0.50 -0.491391\n0.75 0.048709\nName: 10742, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6599821406408357, std values: 0.9005492290248592, min values: -2.300042081328127, max values: 4.0, median values: 0.7108265510776522, and quantile values: 0.25 -0.004544\n0.50 0.710827\n0.75 1.360417\nName: 10743, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10075916191996843, std values: 1.0885309225151105, min values: -2.769191083399913, max values: 3.709787027503053, median values: -0.1653528954682671, and quantile values: 0.25 -0.832902\n0.50 -0.165353\n0.75 0.613859\nName: 10744, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1784323310339228, std values: 0.8505168544985818, min values: -2.8121055320525654, max values: 5.0, median values: -0.2011303453318213, and quantile values: 0.25 -0.787240\n0.50 -0.201130\n0.75 0.309887\nName: 10745, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29678381400413134, std values: 0.7085825870139145, min values: -2.034308917749128, max values: 3.281452258958016, median values: 0.2890053688522985, and quantile values: 0.25 -0.133326\n0.50 0.289005\n0.75 0.723792\nName: 10746, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09544716985275666, std values: 0.8278470400756949, min values: -2.087919489660226, max values: 4.243835016543704, median values: -0.2077824794265887, and quantile values: 0.25 -0.655195\n0.50 -0.207782\n0.75 0.362138\nName: 10747, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21127536139481623, std values: 0.9240221771171351, min values: -2.6668673616981367, max values: 4.0, median values: -0.1523843981886078, and quantile values: 0.25 -0.888586\n0.50 -0.152384\n0.75 0.480328\nName: 10748, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5980856748119339, std values: 0.7846143685850648, min values: -2.119621483749997, max values: 3.627976272701048, median values: 0.6340652600696243, and quantile values: 0.25 0.080695\n0.50 0.634065\n0.75 1.095840\nName: 10749, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08800238581221126, std values: 1.2487137595554976, min values: -3.0960472541202715, max values: 6.0, median values: -0.1445322371143668, and quantile values: 0.25 -1.011076\n0.50 -0.144532\n0.75 0.717292\nName: 10750, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04681990055665099, std values: 0.9545691601500035, min values: -2.5501488616953263, max values: 3.0, median values: 0.1618082924436741, and quantile values: 0.25 -0.547962\n0.50 0.161808\n0.75 0.744707\nName: 10751, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10908092412409641, std values: 0.7329204145705723, min values: -2.094387655371891, max values: 3.0651860794139534, median values: -0.1659671311114749, and quantile values: 0.25 -0.590581\n0.50 -0.165967\n0.75 0.333588\nName: 10752, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3130221416846719, std values: 1.048478737931126, min values: -2.5774281843044924, max values: 6.0, median values: 0.3063981532729544, and quantile values: 0.25 -0.472355\n0.50 0.306398\n0.75 1.103576\nName: 10753, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19662215998296342, std values: 0.8212965495654612, min values: -2.1339127560970463, max values: 6.0, median values: -0.258383765085929, and quantile values: 0.25 -0.751524\n0.50 -0.258384\n0.75 0.243017\nName: 10754, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11799940424823901, std values: 0.9529922261438293, min values: -2.657870006553045, max values: 3.0, median values: -0.1340773888819845, and quantile values: 0.25 -0.671481\n0.50 -0.134077\n0.75 0.475982\nName: 10755, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4874080027431466, std values: 0.8476130493175752, min values: -2.1052796288777285, max values: 3.055874031381882, median values: 0.6112321169508373, and quantile values: 0.25 -0.016166\n0.50 0.611232\n0.75 1.037676\nName: 10756, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.590661475378762, std values: 1.126909419682368, min values: -2.5825978442440407, max values: 6.0, median values: 0.6706227002636864, and quantile values: 0.25 -0.276829\n0.50 0.670623\n0.75 1.533384\nName: 10757, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5288449621519531, std values: 1.6048264446618337, min values: -2.8834699678265463, max values: 5.0, median values: -0.3995719790216278, and quantile values: 0.25 -2.094541\n0.50 -0.399572\n0.75 0.542450\nName: 10758, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45998763598276676, std values: 1.1097586866598148, min values: -2.558791007225312, max values: 3.258347009006034, median values: -0.5914009368957189, and quantile values: 0.25 -1.317232\n0.50 -0.591401\n0.75 0.321544\nName: 10759, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1375653003828666, std values: 0.8239755107343849, min values: -2.098757565199457, max values: 6.0, median values: -0.1395167193337757, and quantile values: 0.25 -0.709580\n0.50 -0.139517\n0.75 0.386423\nName: 10760, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04801159518378301, std values: 0.817278597937629, min values: -2.57895707818966, max values: 6.0, median values: 0.0634104280435359, and quantile values: 0.25 -0.411198\n0.50 0.063410\n0.75 0.528196\nName: 10761, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25039791188477317, std values: 1.05830709639123, min values: -2.9472833478224456, max values: 6.0, median values: -0.1163955697429738, and quantile values: 0.25 -0.817034\n0.50 -0.116396\n0.75 0.411761\nName: 10762, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16710322548593723, std values: 0.8860737628644182, min values: -2.6117120822772133, max values: 5.0, median values: -0.2385894612746641, and quantile values: 0.25 -0.775438\n0.50 -0.238589\n0.75 0.369820\nName: 10763, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18729753775764685, std values: 0.9261119639127536, min values: -2.745904427753044, max values: 5.0, median values: -0.2165659238672247, and quantile values: 0.25 -0.949936\n0.50 -0.216566\n0.75 0.450056\nName: 10764, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3879987067364644, std values: 0.8480727788988442, min values: -2.564449278715455, max values: 3.405671179043623, median values: -0.4400223823988488, and quantile values: 0.25 -1.020172\n0.50 -0.440022\n0.75 0.096151\nName: 10765, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1347942323452925, std values: 0.7719387193565785, min values: -2.0445205652747176, max values: 3.147276669305989, median values: 0.1331595023926882, and quantile values: 0.25 -0.371998\n0.50 0.133160\n0.75 0.609527\nName: 10766, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2900371412861637, std values: 0.7828497137093765, min values: -2.7648443048846945, max values: 3.155379154255993, median values: 0.2482884584454921, and quantile values: 0.25 -0.214315\n0.50 0.248288\n0.75 0.805610\nName: 10767, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35096789856729843, std values: 0.8801813045467148, min values: -2.56026492390943, max values: 4.0, median values: 0.3500490169792021, and quantile values: 0.25 -0.235386\n0.50 0.350049\n0.75 0.943040\nName: 10768, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21241729039071258, std values: 0.7545226828932159, min values: -2.044138536277291, max values: 3.477886732511886, median values: 0.1696538686295375, and quantile values: 0.25 -0.287773\n0.50 0.169654\n0.75 0.677623\nName: 10769, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7221826902861544, std values: 1.050037473882356, min values: -2.5399045531878324, max values: 4.0, median values: 0.6721623888298236, and quantile values: 0.25 -0.084951\n0.50 0.672162\n0.75 1.616356\nName: 10770, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11896787647690947, std values: 0.8584905208462257, min values: -2.4705236352348297, max values: 3.3483277116524426, median values: 0.0949404319806083, and quantile values: 0.25 -0.415878\n0.50 0.094940\n0.75 0.639863\nName: 10771, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4232681538832609, std values: 0.9792461516216225, min values: -2.673549169958716, max values: 6.0, median values: -0.406108730094562, and quantile values: 0.25 -1.073131\n0.50 -0.406109\n0.75 0.195683\nName: 10772, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23756929437814947, std values: 0.8937854183391745, min values: -2.4125199145038643, max values: 4.0, median values: 0.2246058429282838, and quantile values: 0.25 -0.364713\n0.50 0.224606\n0.75 0.863739\nName: 10773, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08552403029176536, std values: 0.8239219537284502, min values: -2.5961021427111413, max values: 3.0, median values: 0.0772971379835796, and quantile values: 0.25 -0.434170\n0.50 0.077297\n0.75 0.609872\nName: 10774, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40882972473823476, std values: 1.0066520244011488, min values: -3.0363117572416627, max values: 5.0, median values: 0.4247822948034992, and quantile values: 0.25 -0.190024\n0.50 0.424782\n0.75 1.113714\nName: 10775, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6632695689226585, std values: 0.8862998452869333, min values: -2.6270253558526173, max values: 4.0, median values: -0.6892657357941786, and quantile values: 0.25 -1.236588\n0.50 -0.689266\n0.75 -0.146313\nName: 10776, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5205804069432703, std values: 0.8376634191435731, min values: -2.1803802129332936, max values: 5.0, median values: -0.6122615779705118, and quantile values: 0.25 -1.129004\n0.50 -0.612262\n0.75 -0.065988\nName: 10777, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11084994697319951, std values: 0.7971522399338272, min values: -2.541693081833126, max values: 3.02009942896863, median values: -0.1169257964911724, and quantile values: 0.25 -0.613745\n0.50 -0.116926\n0.75 0.371187\nName: 10778, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15115187732417745, std values: 0.8951109267655315, min values: -2.27710446206836, max values: 3.670892362631932, median values: 0.0357536443416627, and quantile values: 0.25 -0.458715\n0.50 0.035754\n0.75 0.722284\nName: 10779, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19073446173128622, std values: 0.8469111105092938, min values: -2.0287261898628506, max values: 6.0, median values: 0.1032294879805037, and quantile values: 0.25 -0.378892\n0.50 0.103229\n0.75 0.747518\nName: 10780, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12435093314247077, std values: 0.9887678404895296, min values: -2.919359491767569, max values: 5.0, median values: -0.1337707875099595, and quantile values: 0.25 -0.721088\n0.50 -0.133771\n0.75 0.514889\nName: 10781, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2786466941654483, std values: 0.9464822203884031, min values: -2.58513369695146, max values: 4.0, median values: -0.3682011848583018, and quantile values: 0.25 -0.947431\n0.50 -0.368201\n0.75 0.338915\nName: 10782, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5893433809868348, std values: 0.9286328291933594, min values: -2.807209974165368, max values: 6.0, median values: -0.7454877427612467, and quantile values: 0.25 -1.249173\n0.50 -0.745488\n0.75 -0.054978\nName: 10783, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21280271426332978, std values: 0.969408166091093, min values: -2.634919142586459, max values: 6.0, median values: 0.3351549014246103, and quantile values: 0.25 -0.387724\n0.50 0.335155\n0.75 0.914972\nName: 10784, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3557609336247714, std values: 0.9069135333258603, min values: -2.643887016977268, max values: 6.0, median values: -0.4212985057836526, and quantile values: 0.25 -0.948549\n0.50 -0.421299\n0.75 0.165716\nName: 10785, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19394198444492763, std values: 0.8417101923306666, min values: -2.248504220857508, max values: 4.0, median values: -0.2511073308629902, and quantile values: 0.25 -0.796481\n0.50 -0.251107\n0.75 0.304962\nName: 10786, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13519034587160636, std values: 0.9389481562016327, min values: -2.7314147016889114, max values: 3.784832159836258, median values: -0.1999246202445291, and quantile values: 0.25 -0.789203\n0.50 -0.199925\n0.75 0.512624\nName: 10787, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31954239315937916, std values: 0.7856883225636092, min values: -2.0360128381441656, max values: 5.0, median values: 0.367995900561427, and quantile values: 0.25 -0.224951\n0.50 0.367996\n0.75 0.881586\nName: 10788, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12100067793846024, std values: 0.8316205352026574, min values: -2.589966702820638, max values: 6.0, median values: -0.1074167575757682, and quantile values: 0.25 -0.726945\n0.50 -0.107417\n0.75 0.424933\nName: 10789, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14983376086015743, std values: 0.7658679446390476, min values: -2.0221093080959105, max values: 3.598076523509904, median values: 0.1499052419673802, and quantile values: 0.25 -0.363108\n0.50 0.149905\n0.75 0.607877\nName: 10790, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2605648715308432, std values: 1.4139342945746896, min values: -2.873069976951463, max values: 3.0, median values: 0.0528174101298297, and quantile values: 0.25 -1.901304\n0.50 0.052817\n0.75 0.809941\nName: 10791, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09698220395643958, std values: 0.7860883399573466, min values: -1.9823496288954088, max values: 4.0, median values: -0.1563147278940381, and quantile values: 0.25 -0.624106\n0.50 -0.156315\n0.75 0.386627\nName: 10792, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.037623889120485726, std values: 0.9091379141354495, min values: -2.590643619371846, max values: 4.0, median values: -0.0724558343047041, and quantile values: 0.25 -0.606655\n0.50 -0.072456\n0.75 0.553154\nName: 10793, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 1.0461037824919937, std values: 1.0933820547072715, min values: -2.737201088051888, max values: 3.9905524164385566, median values: 1.040778272454576, and quantile values: 0.25 0.238176\n0.50 1.040778\n0.75 1.938241\nName: 10794, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13914275831204342, std values: 0.934881494328215, min values: -2.778044916685896, max values: 3.241738645014612, median values: 0.2078395631727783, and quantile values: 0.25 -0.515240\n0.50 0.207840\n0.75 0.792406\nName: 10795, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3866375958404241, std values: 0.792396984201762, min values: -2.1320734254271074, max values: 3.397048482165858, median values: -0.5140326259659895, and quantile values: 0.25 -0.952187\n0.50 -0.514033\n0.75 0.100882\nName: 10796, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.022989025656485054, std values: 0.7568702320668272, min values: -2.6023368942328267, max values: 3.306454397423372, median values: -0.0371383419660143, and quantile values: 0.25 -0.498162\n0.50 -0.037138\n0.75 0.415855\nName: 10797, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16663901741573534, std values: 0.99017395806657, min values: -2.0664852352279466, max values: 4.0, median values: 0.0987872282564629, and quantile values: 0.25 -0.556495\n0.50 0.098787\n0.75 0.812166\nName: 10798, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4064549757533118, std values: 0.9020367624587381, min values: -2.6122411453164007, max values: 4.0, median values: -0.3878429234820202, and quantile values: 0.25 -1.082434\n0.50 -0.387843\n0.75 0.188544\nName: 10799, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03029646445761949, std values: 0.8141326454859926, min values: -2.2837882496430213, max values: 4.026668017837955, median values: -0.0151266597081719, and quantile values: 0.25 -0.500023\n0.50 -0.015127\n0.75 0.499461\nName: 10800, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3194866311921048, std values: 0.7619908805008883, min values: -2.6412681606926487, max values: 3.0, median values: -0.4184013461898803, and quantile values: 0.25 -0.853215\n0.50 -0.418401\n0.75 0.154975\nName: 10801, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18652218612988097, std values: 0.881139117597362, min values: -2.0683523803658423, max values: 4.0, median values: -0.2903363164015841, and quantile values: 0.25 -0.838525\n0.50 -0.290336\n0.75 0.386270\nName: 10802, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.007832858388762257, std values: 0.8512584586642666, min values: -1.8658640954646544, max values: 3.103622965243153, median values: -0.1051305371724624, and quantile values: 0.25 -0.656836\n0.50 -0.105131\n0.75 0.533015\nName: 10803, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12129849402469403, std values: 0.8133759164403436, min values: -2.279638670509252, max values: 6.0, median values: 0.1256613468550741, and quantile values: 0.25 -0.409550\n0.50 0.125661\n0.75 0.608162\nName: 10804, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13102862991388517, std values: 0.7994310010745922, min values: -2.048935494746508, max values: 3.5021977227593246, median values: 0.1486154297302515, and quantile values: 0.25 -0.454388\n0.50 0.148615\n0.75 0.708546\nName: 10805, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35472048586214217, std values: 0.8836933172779451, min values: -2.156806272086999, max values: 3.250922035035844, median values: -0.4941133868254944, and quantile values: 0.25 -1.002015\n0.50 -0.494113\n0.75 0.170660\nName: 10806, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21369739113795955, std values: 0.9685682029114338, min values: -2.6635706018350787, max values: 3.709787027503053, median values: -0.3291309774188652, and quantile values: 0.25 -0.965269\n0.50 -0.329131\n0.75 0.336163\nName: 10807, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4177183788503913, std values: 0.8929543843098156, min values: -2.098259549910112, max values: 3.197902420311553, median values: 0.4120373882377821, and quantile values: 0.25 -0.236236\n0.50 0.412037\n0.75 1.127098\nName: 10808, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5499334016634428, std values: 1.00758221046549, min values: -2.92272757463548, max values: 6.0, median values: -0.5143469408228273, and quantile values: 0.25 -1.214303\n0.50 -0.514347\n0.75 0.067741\nName: 10809, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09101684286401854, std values: 1.0130234733441932, min values: -2.6270253558526173, max values: 4.0, median values: 0.2773666696516507, and quantile values: 0.25 -0.462587\n0.50 0.277367\n0.75 0.784774\nName: 10810, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.48089171762830263, std values: 1.2567174874048677, min values: -2.3956757135390148, max values: 3.9905524164385566, median values: 0.49043166938006, and quantile values: 0.25 -0.476053\n0.50 0.490432\n0.75 1.543668\nName: 10811, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37134379477424617, std values: 1.036923922531857, min values: -2.6117120822772133, max values: 5.0, median values: 0.3490536931055477, and quantile values: 0.25 -0.407934\n0.50 0.349054\n0.75 1.127709\nName: 10812, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45303176677325807, std values: 0.9760748384288264, min values: -2.6404955031131814, max values: 5.0, median values: 0.6075515418122848, and quantile values: 0.25 -0.119474\n0.50 0.607552\n0.75 1.167103\nName: 10813, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7052687649225016, std values: 0.905472236240406, min values: -2.4536054974529624, max values: 6.0, median values: 0.8458277035340483, and quantile values: 0.25 0.079397\n0.50 0.845828\n0.75 1.434180\nName: 10814, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08200519926802083, std values: 0.8156553399096216, min values: -2.422675917011138, max values: 5.0, median values: -0.156841100050366, and quantile values: 0.25 -0.697593\n0.50 -0.156841\n0.75 0.442626\nName: 10815, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5135042236323853, std values: 1.0555062658084409, min values: -2.955641696055872, max values: 3.784832159836258, median values: 0.6419530672646904, and quantile values: 0.25 -0.119068\n0.50 0.641953\n0.75 1.305381\nName: 10816, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1469576844781522, std values: 0.7753842184647599, min values: -1.9504461110658124, max values: 3.32433157891547, median values: 0.1290485021532355, and quantile values: 0.25 -0.351458\n0.50 0.129049\n0.75 0.595967\nName: 10817, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03638516965534775, std values: 0.8579433548802419, min values: -2.4705236352348297, max values: 3.2701555622463814, median values: -0.1409488018336009, and quantile values: 0.25 -0.638037\n0.50 -0.140949\n0.75 0.491125\nName: 10818, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5086943497856723, std values: 1.5597677382063224, min values: -2.982771139679002, max values: 4.026668017837955, median values: -0.3069679212207217, and quantile values: 0.25 -2.101255\n0.50 -0.306968\n0.75 0.904476\nName: 10819, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.010909795989689865, std values: 0.8915714255125777, min values: -2.5953860446419177, max values: 3.528773265847577, median values: 0.0397164064289502, and quantile values: 0.25 -0.459340\n0.50 0.039716\n0.75 0.503220\nName: 10820, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3131931257494761, std values: 0.7550657189256937, min values: -2.1272800589171945, max values: 3.2696814875916886, median values: -0.4098798474614024, and quantile values: 0.25 -0.841844\n0.50 -0.409880\n0.75 0.161461\nName: 10821, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3920874736536965, std values: 0.8242523001470011, min values: -1.9890885222563244, max values: 3.5427287984042666, median values: 0.4139746374066402, and quantile values: 0.25 -0.154391\n0.50 0.413975\n0.75 0.945145\nName: 10822, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07610487264594942, std values: 0.8910727672346588, min values: -2.673549169958716, max values: 6.0, median values: 0.1685284438883112, and quantile values: 0.25 -0.452984\n0.50 0.168528\n0.75 0.658920\nName: 10823, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09649303322893016, std values: 0.845350002683706, min values: -2.662750916816848, max values: 5.0, median values: -0.1350552169438039, and quantile values: 0.25 -0.696929\n0.50 -0.135055\n0.75 0.445887\nName: 10824, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15607049802279677, std values: 0.9121324160148494, min values: -2.17355667677496, max values: 5.0, median values: -0.1775490908685435, and quantile values: 0.25 -0.835086\n0.50 -0.177549\n0.75 0.401569\nName: 10825, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28935340278900856, std values: 0.7855565959754298, min values: -1.9894723742829257, max values: 3.569037956734876, median values: 0.3592283066215632, and quantile values: 0.25 -0.230087\n0.50 0.359228\n0.75 0.804638\nName: 10826, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19879780008810877, std values: 0.8858559320502739, min values: -2.5820330744015787, max values: 4.0, median values: -0.1498495412321571, and quantile values: 0.25 -0.821304\n0.50 -0.149850\n0.75 0.392747\nName: 10827, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6231899601086857, std values: 0.992348469032881, min values: -2.279638670509252, max values: 6.0, median values: -0.7951908736135818, and quantile values: 0.25 -1.448201\n0.50 -0.795191\n0.75 0.005105\nName: 10828, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5330949552545194, std values: 0.8639571052522605, min values: -2.210176048035573, max values: 4.0, median values: -0.6783371641301125, and quantile values: 0.25 -1.208910\n0.50 -0.678337\n0.75 0.053176\nName: 10829, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4444936044135346, std values: 0.8802210365471816, min values: -2.1212040292999417, max values: 3.667275230673496, median values: 0.4108984477893493, and quantile values: 0.25 -0.154401\n0.50 0.410898\n0.75 1.051501\nName: 10830, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4787604861779885, std values: 0.9260717352014892, min values: -2.928515832252388, max values: 5.0, median values: -0.4936467162932762, and quantile values: 0.25 -1.094887\n0.50 -0.493647\n0.75 0.124995\nName: 10831, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02138690735941148, std values: 0.8680480160086719, min values: -2.1057850514779166, max values: 3.3760121766849016, median values: -0.1382180161886916, and quantile values: 0.25 -0.617201\n0.50 -0.138218\n0.75 0.500131\nName: 10832, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6102326311084422, std values: 0.8509801355323207, min values: -2.378026594515469, max values: 3.0, median values: -0.7557630824904982, and quantile values: 0.25 -1.261282\n0.50 -0.755763\n0.75 -0.078568\nName: 10833, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.137788696127756, std values: 0.8874764339963405, min values: -3.002493140275396, max values: 5.0, median values: -0.2265453257959571, and quantile values: 0.25 -0.820345\n0.50 -0.226545\n0.75 0.490059\nName: 10834, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5140075016617311, std values: 0.7918203187375287, min values: -3.074005993202373, max values: 3.9905524164385566, median values: 0.5075063179928525, and quantile values: 0.25 0.047452\n0.50 0.507506\n0.75 1.029009\nName: 10835, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10702098256821539, std values: 1.0435923780062522, min values: -2.92272757463548, max values: 6.0, median values: 0.0610374571537825, and quantile values: 0.25 -0.544861\n0.50 0.061037\n0.75 0.539003\nName: 10836, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.019090187900249446, std values: 0.840476708849046, min values: -2.335177149869081, max values: 2.7769262191337227, median values: -0.0090757743080874, and quantile values: 0.25 -0.632687\n0.50 -0.009076\n0.75 0.570244\nName: 10837, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06093398606961183, std values: 0.8742453885893899, min values: -2.2991280154856644, max values: 5.0, median values: -0.0708919450422425, and quantile values: 0.25 -0.670031\n0.50 -0.070892\n0.75 0.503782\nName: 10838, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.536004022581362, std values: 1.334019436080453, min values: -2.657750824678472, max values: 5.0, median values: 0.408921553144485, and quantile values: 0.25 -0.470847\n0.50 0.408922\n0.75 1.640502\nName: 10839, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19483245661047385, std values: 0.7818978036072798, min values: -2.7314147016889114, max values: 3.306454397423372, median values: -0.3006564526083276, and quantile values: 0.25 -0.766839\n0.50 -0.300656\n0.75 0.317987\nName: 10840, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.029981423863814038, std values: 0.8084513439281563, min values: -2.601639132009086, max values: 6.0, median values: -0.1191964060598056, and quantile values: 0.25 -0.583971\n0.50 -0.119196\n0.75 0.449205\nName: 10841, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0214610683504699, std values: 0.9159435774990142, min values: -2.609385158408876, max values: 4.0, median values: 0.0818904548295699, and quantile values: 0.25 -0.553796\n0.50 0.081890\n0.75 0.619652\nName: 10842, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30128662654721355, std values: 0.9235514897329976, min values: -2.869671295224012, max values: 6.0, median values: -0.285901809977687, and quantile values: 0.25 -0.788336\n0.50 -0.285902\n0.75 0.265451\nName: 10843, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05076584286857085, std values: 0.8224946930987754, min values: -2.7016525309724218, max values: 3.867701659180865, median values: 0.1249729252111516, and quantile values: 0.25 -0.470378\n0.50 0.124973\n0.75 0.568427\nName: 10844, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5370665662635115, std values: 0.8254475230254061, min values: -2.737201088051888, max values: 3.2701555622463814, median values: -0.6999483364460367, and quantile values: 0.25 -1.141973\n0.50 -0.699948\n0.75 -0.075110\nName: 10845, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1731553731982536, std values: 0.9058218716118571, min values: -2.072440627773495, max values: 3.5427287984042666, median values: 0.2491077277637684, and quantile values: 0.25 -0.486876\n0.50 0.249108\n0.75 0.843462\nName: 10846, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22311071674247787, std values: 1.0226909218430993, min values: -2.684072796644972, max values: 6.0, median values: -0.2148967496239511, and quantile values: 0.25 -1.001937\n0.50 -0.214897\n0.75 0.479214\nName: 10847, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42397126424466663, std values: 0.9350068270144685, min values: -2.510124273981921, max values: 3.3636961113187773, median values: -0.5703085122720702, and quantile values: 0.25 -1.105447\n0.50 -0.570309\n0.75 0.180359\nName: 10848, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4094271526898579, std values: 1.0138689086249575, min values: -2.5682675825126706, max values: 5.0, median values: 0.4750031326733253, and quantile values: 0.25 -0.237325\n0.50 0.475003\n0.75 1.070587\nName: 10849, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07078713002188636, std values: 0.9372809884841389, min values: -2.638186942019407, max values: 4.0, median values: 0.1591624430474698, and quantile values: 0.25 -0.593206\n0.50 0.159162\n0.75 0.762633\nName: 10850, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4424732836796765, std values: 1.5242822331490942, min values: -2.960014365184806, max values: 6.0, median values: -0.5129643349663827, and quantile values: 0.25 -1.849671\n0.50 -0.512964\n0.75 0.757367\nName: 10851, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07145719021154112, std values: 1.0807788846261905, min values: -2.584593648802428, max values: 3.1995118554872866, median values: 0.1372171545009761, and quantile values: 0.25 -0.613745\n0.50 0.137217\n0.75 0.670416\nName: 10852, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.042363546686810666, std values: 0.7889532982229153, min values: -2.45229857681487, max values: 3.0, median values: -0.0168548575969181, and quantile values: 0.25 -0.628687\n0.50 -0.016855\n0.75 0.523273\nName: 10853, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.391508045905062, std values: 0.9112216344150408, min values: -1.932604056729708, max values: 2.989910119779402, median values: 0.4293965137353993, and quantile values: 0.25 -0.278474\n0.50 0.429397\n0.75 1.098001\nName: 10854, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16141131230106867, std values: 0.8424284928089665, min values: -2.0600063421362025, max values: 3.867701659180865, median values: -0.2615741866866943, and quantile values: 0.25 -0.761593\n0.50 -0.261574\n0.75 0.397719\nName: 10855, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3286722967511109, std values: 0.9730876548309171, min values: -2.0640140184960183, max values: 5.0, median values: 0.3443271910530983, and quantile values: 0.25 -0.422884\n0.50 0.344327\n0.75 1.114901\nName: 10856, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.318101187195732, std values: 0.9733720861785355, min values: -2.634919142586459, max values: 6.0, median values: -0.3672298250703367, and quantile values: 0.25 -1.069752\n0.50 -0.367230\n0.75 0.338303\nName: 10857, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.039359524744627984, std values: 1.0262823451719985, min values: -2.298106963255861, max values: 4.026668017837955, median values: 0.0031394868460474, and quantile values: 0.25 -0.799927\n0.50 0.003139\n0.75 0.698346\nName: 10858, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05294337059997386, std values: 0.9730084445524733, min values: -2.688157591415518, max values: 4.0, median values: 0.0027814742054808, and quantile values: 0.25 -0.656926\n0.50 0.002781\n0.75 0.735756\nName: 10859, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24027449451137292, std values: 1.4347628061917426, min values: -2.8350118695332047, max values: 5.0, median values: 0.6744897501960817, and quantile values: 0.25 -0.570633\n0.50 0.674490\n0.75 1.303134\nName: 10860, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30668219474201974, std values: 1.013943269031467, min values: -2.8350118695332047, max values: 5.0, median values: 0.4566943162136261, and quantile values: 0.25 -0.334368\n0.50 0.456694\n0.75 1.046503\nName: 10861, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33481931610280674, std values: 0.970324930987644, min values: -2.5293911731823453, max values: 3.241738645014612, median values: -0.5054712848162175, and quantile values: 0.25 -1.060385\n0.50 -0.505471\n0.75 0.269191\nName: 10862, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1377633347448195, std values: 0.9478853917125046, min values: -2.6668673616981367, max values: 4.0, median values: -0.1345766488552092, and quantile values: 0.25 -0.690945\n0.50 -0.134577\n0.75 0.494274\nName: 10863, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3530904663421676, std values: 1.3640670500056717, min values: -2.8246479422601736, max values: 5.0, median values: 0.4724383614496292, and quantile values: 0.25 -0.675751\n0.50 0.472438\n0.75 1.468045\nName: 10864, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14860039331947036, std values: 1.1344753834859143, min values: -3.2960357033722465, max values: 3.1801075704642923, median values: 0.2594944153762537, and quantile values: 0.25 -0.502087\n0.50 0.259494\n0.75 0.858498\nName: 10865, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7691962039209781, std values: 0.9976969147840016, min values: -2.0446222759012818, max values: 3.4758930087721422, median values: 0.7737302797549022, and quantile values: 0.25 0.025954\n0.50 0.773730\n0.75 1.602120\nName: 10866, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3419519642015223, std values: 0.9428532900273304, min values: -2.769191083399913, max values: 3.163266084685921, median values: 0.4717250093411988, and quantile values: 0.25 -0.136578\n0.50 0.471725\n0.75 0.930314\nName: 10867, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5081833689589053, std values: 0.886869745745402, min values: -2.8246479422601736, max values: 6.0, median values: -0.6131740479461742, and quantile values: 0.25 -1.152011\n0.50 -0.613174\n0.75 0.067274\nName: 10868, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16979956422264364, std values: 0.9876573435608216, min values: -2.6466193392086392, max values: 4.0, median values: 0.2157528538342509, and quantile values: 0.25 -0.501336\n0.50 0.215753\n0.75 0.899293\nName: 10869, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12758361249055128, std values: 1.0981369258532858, min values: -3.026950214607352, max values: 3.670892362631932, median values: 0.0273721738231433, and quantile values: 0.25 -0.733682\n0.50 0.027372\n0.75 0.896173\nName: 10870, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4092708299527788, std values: 0.9533368601192957, min values: -2.5213149333948146, max values: 3.4217036547572275, median values: 0.4428086230515002, and quantile values: 0.25 -0.270351\n0.50 0.442809\n0.75 1.087853\nName: 10871, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10575528676503834, std values: 0.7504092978782675, min values: -2.0131371991989395, max values: 3.236860296211547, median values: -0.1351046743362984, and quantile values: 0.25 -0.629025\n0.50 -0.135105\n0.75 0.395965\nName: 10872, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20967223575827978, std values: 0.7958817932547371, min values: -2.10781213968935, max values: 6.0, median values: -0.2899419080577367, and quantile values: 0.25 -0.729673\n0.50 -0.289942\n0.75 0.247767\nName: 10873, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4044152465673528, std values: 1.0235334846904929, min values: -2.7871422803648627, max values: 3.2328207660681025, median values: -0.499782393720497, and quantile values: 0.25 -1.230347\n0.50 -0.499782\n0.75 0.268758\nName: 10874, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32673995702718156, std values: 0.7884061097888114, min values: -2.556631690482005, max values: 3.281452258958016, median values: 0.3697697511785251, and quantile values: 0.25 -0.230063\n0.50 0.369770\n0.75 0.919521\nName: 10875, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16957547293680195, std values: 1.2144713181770035, min values: -2.5961021427111413, max values: 3.1166497049712243, median values: 0.4089330797318959, and quantile values: 0.25 -0.531143\n0.50 0.408933\n0.75 1.067028\nName: 10876, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4316432740457557, std values: 1.049105153295876, min values: -2.057690731496465, max values: 5.0, median values: 0.4184915232928878, and quantile values: 0.25 -0.344001\n0.50 0.418492\n0.75 1.271134\nName: 10877, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17897785460206925, std values: 0.7526425822119244, min values: -2.196708653609315, max values: 6.0, median values: -0.2765368058950803, and quantile values: 0.25 -0.727047\n0.50 -0.276537\n0.75 0.287685\nName: 10878, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22186446532718804, std values: 0.944446179794413, min values: -2.8467638118011016, max values: 5.0, median values: -0.1825454027201697, and quantile values: 0.25 -0.702202\n0.50 -0.182545\n0.75 0.335242\nName: 10879, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10851557032814962, std values: 0.8245020988073266, min values: -2.2915911556076085, max values: 3.0, median values: 0.1366333820513767, and quantile values: 0.25 -0.497227\n0.50 0.136633\n0.75 0.700036\nName: 10880, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3133467895994455, std values: 0.793367038960103, min values: -2.486556664247513, max values: 3.2696814875916886, median values: -0.3682011848583018, and quantile values: 0.25 -0.803911\n0.50 -0.368201\n0.75 0.157942\nName: 10881, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5761633838506705, std values: 1.1138374156523874, min values: -2.855306289371099, max values: 6.0, median values: -0.4678032571580667, and quantile values: 0.25 -1.561654\n0.50 -0.467803\n0.75 0.178341\nName: 10882, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.404088807935428, std values: 0.8950824302590455, min values: -2.679056533720636, max values: 5.0, median values: -0.4826366522100316, and quantile values: 0.25 -1.080408\n0.50 -0.482637\n0.75 0.163594\nName: 10883, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2757303965407375, std values: 1.1498928024145625, min values: -2.8680719719444903, max values: 5.0, median values: -0.266724721987445, and quantile values: 0.25 -1.264377\n0.50 -0.266725\n0.75 0.591300\nName: 10884, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.005967794655401891, std values: 0.7585856563430295, min values: -3.074005993202373, max values: 2.9804248838044773, median values: 0.0360292149102495, and quantile values: 0.25 -0.513373\n0.50 0.036029\n0.75 0.496144\nName: 10885, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0554750395590076, std values: 1.0070184152184671, min values: -2.6820581866633817, max values: 6.0, median values: 0.0036076578364434, and quantile values: 0.25 -0.778084\n0.50 0.003608\n0.75 0.698823\nName: 10886, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.059154103295778845, std values: 1.1000101098713124, min values: -2.58513369695146, max values: 4.0, median values: -0.0215799774097137, and quantile values: 0.25 -0.807409\n0.50 -0.021580\n0.75 0.886932\nName: 10887, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01991107611277035, std values: 0.7449032791479215, min values: -1.8984586912898904, max values: 5.0, median values: -0.079341307264115, and quantile values: 0.25 -0.504662\n0.50 -0.079341\n0.75 0.383364\nName: 10888, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23558381753475433, std values: 0.8499307329809985, min values: -2.6850842010492566, max values: 6.0, median values: 0.1979152095119304, and quantile values: 0.25 -0.429604\n0.50 0.197915\n0.75 0.825058\nName: 10889, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.027384719294681018, std values: 1.0637323640037826, min values: -2.6635706018350787, max values: 3.5908526919299577, median values: -0.0733089392644397, and quantile values: 0.25 -0.703967\n0.50 -0.073309\n0.75 0.633863\nName: 10890, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7619271777382168, std values: 1.016930129758068, min values: -2.933035609461076, max values: 5.0, median values: -0.981225125677124, and quantile values: 0.25 -1.529052\n0.50 -0.981225\n0.75 -0.128594\nName: 10891, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47430962373452845, std values: 0.8471734043781941, min values: -1.9878938033360591, max values: 3.867701659180865, median values: 0.5310161284383036, and quantile values: 0.25 -0.125378\n0.50 0.531016\n0.75 1.116663\nName: 10892, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06700642559293601, std values: 1.0285568515621633, min values: -2.6800544037614658, max values: 4.0, median values: 0.1754846096139189, and quantile values: 0.25 -0.495514\n0.50 0.175485\n0.75 0.741549\nName: 10893, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28941860498831856, std values: 0.8905300656319552, min values: -2.732564679617164, max values: 3.110498035652072, median values: 0.357143475465224, and quantile values: 0.25 -0.340170\n0.50 0.357143\n0.75 0.910004\nName: 10894, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07414831658268413, std values: 0.9942181820965649, min values: -2.73836943861057, max values: 3.076680642207697, median values: -0.1359616119103176, and quantile values: 0.25 -0.890877\n0.50 -0.135962\n0.75 0.641605\nName: 10895, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04566817666917699, std values: 0.8687157399731141, min values: -2.209826040384377, max values: 3.236860296211547, median values: 0.1158965072776818, and quantile values: 0.25 -0.568816\n0.50 0.115897\n0.75 0.627312\nName: 10896, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4284865135203084, std values: 0.7291760802345562, min values: -1.9803888223350048, max values: 3.627976272701048, median values: 0.4656536773298111, and quantile values: 0.25 0.000449\n0.50 0.465654\n0.75 0.865216\nName: 10897, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.035239535627745934, std values: 1.0884634383474852, min values: -3.071284484560209, max values: 3.528773265847577, median values: 0.0109429939660409, and quantile values: 0.25 -0.879874\n0.50 0.010943\n0.75 0.981990\nName: 10898, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.175182051158398, std values: 0.9321905603716164, min values: -2.096272675358738, max values: 3.3760121766849016, median values: -0.2810318082748452, and quantile values: 0.25 -0.888954\n0.50 -0.281032\n0.75 0.425355\nName: 10899, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22934824935189832, std values: 0.9118626509433119, min values: -2.0897492665563764, max values: 5.0, median values: -0.2934191921015507, and quantile values: 0.25 -0.957662\n0.50 -0.293419\n0.75 0.405261\nName: 10900, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39090521380965304, std values: 0.9560529185056217, min values: -2.106402139749333, max values: 6.0, median values: -0.5517828545689846, and quantile values: 0.25 -1.165237\n0.50 -0.551783\n0.75 0.230095\nName: 10901, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24475132126771038, std values: 0.768198646988207, min values: -2.083073092108871, max values: 3.022367128892113, median values: 0.1763070347638942, and quantile values: 0.25 -0.254712\n0.50 0.176307\n0.75 0.743399\nName: 10902, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6134735415568586, std values: 0.8930748617990697, min values: -2.7542003929097176, max values: 5.0, median values: -0.7479082664104711, and quantile values: 0.25 -1.307712\n0.50 -0.747908\n0.75 -0.038463\nName: 10903, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14040522557475205, std values: 0.7553229390861439, min values: -2.4176069991382847, max values: 6.0, median values: 0.1895810442453488, and quantile values: 0.25 -0.378093\n0.50 0.189581\n0.75 0.657678\nName: 10904, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24733453052095453, std values: 0.9783122612081934, min values: -2.2146321721295776, max values: 3.176672644814091, median values: -0.3814362640365311, and quantile values: 0.25 -1.047714\n0.50 -0.381436\n0.75 0.446278\nName: 10905, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4797100701237048, std values: 1.045617685308874, min values: -2.841647375415054, max values: 5.0, median values: 0.6289669070236037, and quantile values: 0.25 -0.214090\n0.50 0.628967\n0.75 1.322562\nName: 10906, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07828244632840026, std values: 0.8249747955896359, min values: -2.6117120822772133, max values: 5.0, median values: 0.0615616881181877, and quantile values: 0.25 -0.491160\n0.50 0.061562\n0.75 0.606655\nName: 10907, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21042354563619398, std values: 0.8502870907181683, min values: -2.372995607737588, max values: 5.0, median values: -0.2950690766254464, and quantile values: 0.25 -0.857623\n0.50 -0.295069\n0.75 0.363955\nName: 10908, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4676438349925068, std values: 1.1983441859463635, min values: -2.7542003929097176, max values: 5.0, median values: 0.6251675007702802, and quantile values: 0.25 -0.341308\n0.50 0.625168\n0.75 1.412059\nName: 10909, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09748292237864867, std values: 0.896774358973065, min values: -2.226424194672579, max values: 4.0, median values: 0.0403560450015373, and quantile values: 0.25 -0.590962\n0.50 0.040356\n0.75 0.771040\nName: 10910, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3230718557749246, std values: 0.792234979530203, min values: -2.349293916724472, max values: 3.2071942083719924, median values: -0.4391879261152097, and quantile values: 0.25 -0.875421\n0.50 -0.439188\n0.75 0.147399\nName: 10911, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11251240574188315, std values: 0.965791067929008, min values: -2.815821936576896, max values: 3.050873041333768, median values: -0.0831542991784696, and quantile values: 0.25 -0.623026\n0.50 -0.083154\n0.75 0.501657\nName: 10912, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.006200271181429945, std values: 0.9008707864954799, min values: -2.2915911556076085, max values: 3.670892362631932, median values: -0.1231628248128155, and quantile values: 0.25 -0.655662\n0.50 -0.123163\n0.75 0.553154\nName: 10913, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30691262684359194, std values: 1.0548014739464, min values: -2.4727508507009746, max values: 6.0, median values: -0.3710623685246779, and quantile values: 0.25 -1.232463\n0.50 -0.371062\n0.75 0.462131\nName: 10914, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.045340843438147475, std values: 0.9711071883697879, min values: -2.8889090019311845, max values: 5.0, median values: -0.0190032852882921, and quantile values: 0.25 -0.704512\n0.50 -0.019003\n0.75 0.739758\nName: 10915, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19293235121218522, std values: 0.7825938579983042, min values: -2.6850842010492566, max values: 6.0, median values: -0.2010897030610738, and quantile values: 0.25 -0.723076\n0.50 -0.201090\n0.75 0.273534\nName: 10916, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15583184355497343, std values: 0.8513919251059282, min values: -2.724017888297919, max values: 3.336438412828754, median values: 0.1622826480524971, and quantile values: 0.25 -0.337399\n0.50 0.162283\n0.75 0.717537\nName: 10917, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3875408396674365, std values: 0.8140356438080508, min values: -2.801183634509044, max values: 5.0, median values: 0.4489170642497576, and quantile values: 0.25 -0.099785\n0.50 0.448917\n0.75 0.902073\nName: 10918, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2888929786042355, std values: 0.8680241923191738, min values: -2.7884838087481176, max values: 6.0, median values: -0.3238841298161258, and quantile values: 0.25 -0.933460\n0.50 -0.323884\n0.75 0.301398\nName: 10919, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04866346442530449, std values: 0.9301701640913285, min values: -2.981718296512785, max values: 5.0, median values: -0.0439506893570655, and quantile values: 0.25 -0.567650\n0.50 -0.043951\n0.75 0.501497\nName: 10920, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24390961394769806, std values: 0.8706306967540957, min values: -2.2038853164231766, max values: 3.405671179043623, median values: 0.1459516347700656, and quantile values: 0.25 -0.324541\n0.50 0.145952\n0.75 0.762228\nName: 10921, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.822204319497411, std values: 1.1284016539735329, min values: -2.5569229852416258, max values: 4.0, median values: 0.9469933686326346, and quantile values: 0.25 0.001820\n0.50 0.946993\n0.75 1.724729\nName: 10922, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1445374690550895, std values: 0.7472124585567369, min values: -2.58513369695146, max values: 4.0, median values: -0.1952198619779374, and quantile values: 0.25 -0.650958\n0.50 -0.195220\n0.75 0.321046\nName: 10923, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3576989786166688, std values: 0.9905955706305961, min values: -2.605844844843939, max values: 4.0, median values: 0.491818190816479, and quantile values: 0.25 -0.247060\n0.50 0.491818\n0.75 1.102578\nName: 10924, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10112488051539967, std values: 0.7958471499477743, min values: -2.245752867605861, max values: 3.250922035035844, median values: 0.028081481569305, and quantile values: 0.25 -0.442157\n0.50 0.028081\n0.75 0.611692\nName: 10925, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.020885386960957607, std values: 0.7974104487883247, min values: -2.05534056393072, max values: 6.0, median values: 0.0321721096446289, and quantile values: 0.25 -0.522790\n0.50 0.032172\n0.75 0.537992\nName: 10926, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.144152410540171, std values: 1.0178945115011773, min values: -2.8246479422601736, max values: 6.0, median values: -0.1384905696936, and quantile values: 0.25 -0.748018\n0.50 -0.138491\n0.75 0.536845\nName: 10927, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3926977780010479, std values: 0.8807525842441074, min values: -2.2915911556076085, max values: 3.9905524164385566, median values: 0.4775975218788109, and quantile values: 0.25 -0.200472\n0.50 0.477598\n0.75 1.011729\nName: 10928, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5811564660252212, std values: 0.9929203703576889, min values: -2.8451834694312192, max values: 3.784832159836258, median values: -0.6965371259169917, and quantile values: 0.25 -1.430701\n0.50 -0.696537\n0.75 0.069684\nName: 10929, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4344206938425619, std values: 0.9152299398098444, min values: -2.041957069977206, max values: 5.0, median values: 0.4741417707806071, and quantile values: 0.25 -0.261659\n0.50 0.474142\n0.75 1.180961\nName: 10930, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0019606420845636255, std values: 0.81627555421484, min values: -2.64479559868397, max values: 6.0, median values: 0.0351198423031204, and quantile values: 0.25 -0.594224\n0.50 0.035120\n0.75 0.577907\nName: 10931, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09865928151885149, std values: 0.8594661715083118, min values: -2.8350118695332047, max values: 5.0, median values: -0.0631344831050515, and quantile values: 0.25 -0.598238\n0.50 -0.063134\n0.75 0.417169\nName: 10932, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4487054053224375, std values: 1.009565176622161, min values: -2.5201815750705507, max values: 4.243835016543704, median values: 0.4746965238424395, and quantile values: 0.25 -0.164097\n0.50 0.474697\n0.75 1.158796\nName: 10933, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09961949211330036, std values: 0.845722458588273, min values: -2.710223074556336, max values: 4.0, median values: 0.1461743119923906, and quantile values: 0.25 -0.489579\n0.50 0.146174\n0.75 0.642098\nName: 10934, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08097895018218014, std values: 1.0536263317767547, min values: -2.955641696055872, max values: 3.349054967837474, median values: 0.0940620418067362, and quantile values: 0.25 -0.573714\n0.50 0.094062\n0.75 0.803345\nName: 10935, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20582757979487137, std values: 0.9369466761607932, min values: -2.740813841730953, max values: 3.4217036547572275, median values: -0.1834827149525109, and quantile values: 0.25 -0.689685\n0.50 -0.183483\n0.75 0.372479\nName: 10936, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25062565232314715, std values: 1.0026333604058606, min values: -2.6800544037614658, max values: 4.0, median values: -0.2287943158955626, and quantile values: 0.25 -1.010673\n0.50 -0.228794\n0.75 0.466238\nName: 10937, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41187449527367564, std values: 1.136909297325751, min values: -2.7688682710567485, max values: 4.243835016543704, median values: 0.4767627242428575, and quantile values: 0.25 -0.363046\n0.50 0.476763\n0.75 1.351411\nName: 10938, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19260235148805568, std values: 0.8162330613838313, min values: -2.048872122545356, max values: 3.3636961113187773, median values: -0.3042933503133501, and quantile values: 0.25 -0.770404\n0.50 -0.304293\n0.75 0.297913\nName: 10939, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28993265028030335, std values: 0.8538189372196933, min values: -2.5213149333948146, max values: 3.0, median values: 0.3922869346440545, and quantile values: 0.25 -0.169032\n0.50 0.392287\n0.75 0.824826\nName: 10940, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.348792639828562, std values: 0.9184879841460897, min values: -3.002493140275396, max values: 5.0, median values: 0.4163582425051009, and quantile values: 0.25 -0.183752\n0.50 0.416358\n0.75 0.919449\nName: 10941, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41395021023564393, std values: 0.9527018484262572, min values: -2.679056533720636, max values: 5.0, median values: -0.4540216727724002, and quantile values: 0.25 -0.981233\n0.50 -0.454022\n0.75 0.203398\nName: 10942, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1799132009614595, std values: 0.9425366765560829, min values: -2.693453432157769, max values: 3.397048482165858, median values: 0.1389409468007695, and quantile values: 0.25 -0.548209\n0.50 0.138941\n0.75 0.865526\nName: 10943, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2594027370915057, std values: 0.7380963710300995, min values: -2.556631690482005, max values: 3.0362913622068968, median values: -0.3228578481110359, and quantile values: 0.25 -0.781032\n0.50 -0.322858\n0.75 0.195032\nName: 10944, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2939571523827222, std values: 0.7724814124916914, min values: -2.196708653609315, max values: 6.0, median values: -0.3889708567587465, and quantile values: 0.25 -0.822862\n0.50 -0.388971\n0.75 0.156453\nName: 10945, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2276815140740964, std values: 0.9108939782188757, min values: -2.313034894127922, max values: 3.709787027503053, median values: 0.1845364731503811, and quantile values: 0.25 -0.358305\n0.50 0.184536\n0.75 0.764660\nName: 10946, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28566203084401165, std values: 0.7979390088077304, min values: -2.566149343918479, max values: 6.0, median values: -0.3692130591857749, and quantile values: 0.25 -0.815266\n0.50 -0.369213\n0.75 0.160264\nName: 10947, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32241985623153174, std values: 1.0847389262508997, min values: -2.7257183488872623, max values: 5.0, median values: 0.3943831580529512, and quantile values: 0.25 -0.251272\n0.50 0.394383\n0.75 1.013877\nName: 10948, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3091331032111813, std values: 1.2672186846187405, min values: -2.801183634509044, max values: 5.0, median values: -0.1572000150648443, and quantile values: 0.25 -1.437787\n0.50 -0.157200\n0.75 0.566650\nName: 10949, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3460353357243551, std values: 0.9605206427616105, min values: -2.110869107491898, max values: 5.0, median values: 0.2653662763817126, and quantile values: 0.25 -0.273934\n0.50 0.265366\n0.75 0.882879\nName: 10950, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8693325893848102, std values: 1.4497275340673765, min values: -2.9029979285382743, max values: 3.0651860794139534, median values: -1.0215172334427658, and quantile values: 0.25 -2.164121\n0.50 -1.021517\n0.75 0.305787\nName: 10951, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6248586605653091, std values: 1.2214933973069633, min values: -2.075893982221889, max values: 3.191712471143802, median values: 0.5892046224429945, and quantile values: 0.25 -0.342121\n0.50 0.589205\n0.75 1.692382\nName: 10952, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2148614551964771, std values: 1.1424945681827072, min values: -2.8350118695332047, max values: 5.0, median values: -0.2056442930005263, and quantile values: 0.25 -0.898019\n0.50 -0.205644\n0.75 0.578009\nName: 10953, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.014406115032928424, std values: 0.7947734209222798, min values: -2.783691185534105, max values: 4.026668017837955, median values: -0.0584441373990691, and quantile values: 0.25 -0.547659\n0.50 -0.058444\n0.75 0.530550\nName: 10954, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14748910649893004, std values: 1.0250695231131468, min values: -2.622408470084112, max values: 3.5581019918925243, median values: 0.2585048924735637, and quantile values: 0.25 -0.481953\n0.50 0.258505\n0.75 0.887598\nName: 10955, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02304149594721274, std values: 0.7813661055519631, min values: -2.2272703849889663, max values: 3.147276669305989, median values: 0.021399679451929, and quantile values: 0.25 -0.571374\n0.50 0.021400\n0.75 0.472694\nName: 10956, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28910582406600505, std values: 0.9547511330696977, min values: -2.6023368942328267, max values: 3.2936960268109283, median values: -0.316626353205338, and quantile values: 0.25 -1.074699\n0.50 -0.316626\n0.75 0.394205\nName: 10957, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4064934265739313, std values: 0.8150348375781574, min values: -2.061387406231346, max values: 3.670892362631932, median values: -0.5126502431652481, and quantile values: 0.25 -1.026682\n0.50 -0.512650\n0.75 0.117255\nName: 10958, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25716758196282646, std values: 0.9458818949800979, min values: -2.93129584560762, max values: 6.0, median values: -0.2092404983255582, and quantile values: 0.25 -0.814767\n0.50 -0.209240\n0.75 0.326661\nName: 10959, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20409864732949048, std values: 0.8731552684433043, min values: -2.374446373878101, max values: 4.0, median values: -0.3111585788656731, and quantile values: 0.25 -0.827845\n0.50 -0.311159\n0.75 0.305779\nName: 10960, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42805016357277687, std values: 1.0052324975593405, min values: -2.8563982925340614, max values: 5.0, median values: 0.4982559244136429, and quantile values: 0.25 -0.110492\n0.50 0.498256\n0.75 1.081766\nName: 10961, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5770870418639276, std values: 0.8882239554320248, min values: -2.407397298209127, max values: 3.280245386470253, median values: -0.7460881772143451, and quantile values: 0.25 -1.235175\n0.50 -0.746088\n0.75 -0.086468\nName: 10962, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6983055045540648, std values: 0.8654649757372678, min values: -2.789830374413015, max values: 3.336438412828754, median values: 0.8328240509518554, and quantile values: 0.25 0.144310\n0.50 0.832824\n0.75 1.316576\nName: 10963, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36256766728321704, std values: 0.8294146208959657, min values: -2.8350118695332047, max values: 5.0, median values: -0.4239385416612085, and quantile values: 0.25 -0.880193\n0.50 -0.423939\n0.75 0.154363\nName: 10964, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03758883517075141, std values: 0.7985970332119049, min values: -2.223678652475388, max values: 3.155379154255993, median values: 0.0775989827217234, and quantile values: 0.25 -0.508133\n0.50 0.077599\n0.75 0.581491\nName: 10965, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27467176562901885, std values: 0.7829357907902739, min values: -2.8843374390620142, max values: 6.0, median values: 0.3198269069278098, and quantile values: 0.25 -0.191083\n0.50 0.319827\n0.75 0.749147\nName: 10966, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22063173603758213, std values: 0.7750394528039569, min values: -2.687282238908512, max values: 3.528773265847577, median values: 0.2533471031357998, and quantile values: 0.25 -0.282580\n0.50 0.253347\n0.75 0.719433\nName: 10967, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.771226341765252, std values: 0.9431520868657292, min values: -2.475272102106495, max values: 4.0, median values: 0.8640849976472197, and quantile values: 0.25 0.166228\n0.50 0.864085\n0.75 1.429935\nName: 10968, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2521969308172271, std values: 1.1500804046900093, min values: -2.5953860446419177, max values: 3.721862465295849, median values: 0.4592140716337963, and quantile values: 0.25 -0.489700\n0.50 0.459214\n0.75 1.115274\nName: 10969, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17050745525228939, std values: 1.1042286343429948, min values: -2.842043939794492, max values: 3.0, median values: -0.0230456816317657, and quantile values: 0.25 -0.839230\n0.50 -0.023046\n0.75 0.608247\nName: 10970, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2035720911973322, std values: 0.8034693878525537, min values: -2.2302536455627937, max values: 5.0, median values: -0.2902400376240504, and quantile values: 0.25 -0.767948\n0.50 -0.290240\n0.75 0.303972\nName: 10971, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18614048379639134, std values: 0.8568847523446413, min values: -2.919359491767569, max values: 6.0, median values: -0.2806615563834704, and quantile values: 0.25 -0.723235\n0.50 -0.280662\n0.75 0.308182\nName: 10972, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12249438936427029, std values: 0.9033066428644851, min values: -2.879968592907284, max values: 4.0, median values: 0.2549399223275607, and quantile values: 0.25 -0.375373\n0.50 0.254940\n0.75 0.720475\nName: 10973, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1221830688694705, std values: 0.865133617998353, min values: -2.0595468593293136, max values: 3.434669824302974, median values: 0.1193533985342512, and quantile values: 0.25 -0.481025\n0.50 0.119353\n0.75 0.688067\nName: 10974, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3329991391298016, std values: 0.9272397735798253, min values: -2.0590878109320845, max values: 3.32433157891547, median values: 0.2501805611758501, and quantile values: 0.25 -0.286565\n0.50 0.250181\n0.75 0.929254\nName: 10975, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03227053416689114, std values: 0.9660274781206969, min values: -2.862971749830789, max values: 4.278004674434932, median values: -0.0781534393645088, and quantile values: 0.25 -0.620722\n0.50 -0.078153\n0.75 0.654912\nName: 10976, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17079134055813855, std values: 0.8687566292063558, min values: -2.919359491767569, max values: 6.0, median values: 0.1508860252957085, and quantile values: 0.25 -0.345047\n0.50 0.150886\n0.75 0.651450\nName: 10977, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18245785759753816, std values: 0.8091417346028882, min values: -2.62876542141649, max values: 3.071284484560209, median values: 0.2137519507836969, and quantile values: 0.25 -0.421951\n0.50 0.213752\n0.75 0.823666\nName: 10978, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18578664641554346, std values: 0.7475946046768097, min values: -2.442256129120324, max values: 6.0, median values: 0.2151869976601769, and quantile values: 0.25 -0.280317\n0.50 0.215187\n0.75 0.654111\nName: 10979, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.149491405735954, std values: 0.7967367131912437, min values: -2.433945973644046, max values: 5.0, median values: -0.2430661693936328, and quantile values: 0.25 -0.726622\n0.50 -0.243066\n0.75 0.406365\nName: 10980, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36422798489706687, std values: 0.8370990801756458, min values: -2.7825548156447035, max values: 6.0, median values: 0.4441522085689423, and quantile values: 0.25 -0.180560\n0.50 0.444152\n0.75 0.913191\nName: 10981, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07624525259048887, std values: 0.8336944879982832, min values: -2.0923235737594785, max values: 3.066111439712683, median values: -0.1475640457390626, and quantile values: 0.25 -0.643086\n0.50 -0.147564\n0.75 0.419698\nName: 10982, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06665245542514824, std values: 0.8309964693931032, min values: -2.6026470237163752, max values: 4.0, median values: -0.1082205557369003, and quantile values: 0.25 -0.622993\n0.50 -0.108221\n0.75 0.427738\nName: 10983, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1590665678129271, std values: 0.8198352305668465, min values: -2.5039074859839925, max values: 4.0, median values: -0.2075256165160771, and quantile values: 0.25 -0.724033\n0.50 -0.207526\n0.75 0.355002\nName: 10984, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2269404740201067, std values: 1.116821999745955, min values: -2.92272757463548, max values: 6.0, median values: 0.3953517622813033, and quantile values: 0.25 -0.454571\n0.50 0.395352\n0.75 1.051440\nName: 10985, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3727527205225131, std values: 1.0201692776381595, min values: -2.9898739724800576, max values: 3.477886732511886, median values: 0.4614738306091564, and quantile values: 0.25 -0.406031\n0.50 0.461474\n0.75 1.199372\nName: 10986, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1259154920518126, std values: 0.9736787652072345, min values: -2.8834699678265463, max values: 5.0, median values: 0.1946865764827526, and quantile values: 0.25 -0.375444\n0.50 0.194687\n0.75 0.729728\nName: 10987, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2698638830676769, std values: 0.8656197582515828, min values: -2.0604470366149066, max values: 3.3337116327022187, median values: 0.3414446557196026, and quantile values: 0.25 -0.354426\n0.50 0.341445\n0.75 0.927813\nName: 10988, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3208118441347018, std values: 0.8803545713823141, min values: -2.156806272086999, max values: 3.630507857092792, median values: 0.3326507439348814, and quantile values: 0.25 -0.189805\n0.50 0.332651\n0.75 0.856668\nName: 10989, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20256367664622896, std values: 0.9977492280636752, min values: -2.5682675825126706, max values: 5.0, median values: 0.1370112614866025, and quantile values: 0.25 -0.524875\n0.50 0.137011\n0.75 0.925993\nName: 10990, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5758817702801498, std values: 1.2072576831387323, min values: -2.590643619371846, max values: 4.0, median values: 0.6437925678218659, and quantile values: 0.25 -0.175300\n0.50 0.643793\n0.75 1.502366\nName: 10991, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11030929402523308, std values: 0.9096683443065582, min values: -2.7939007019027, max values: 3.627976272701048, median values: -0.195417768721204, and quantile values: 0.25 -0.725045\n0.50 -0.195418\n0.75 0.461789\nName: 10992, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6053702959428949, std values: 1.0641373263066352, min values: -2.8121055320525654, max values: 5.0, median values: -0.4205063671697172, and quantile values: 0.25 -1.650633\n0.50 -0.420506\n0.75 0.137989\nName: 10993, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4408458172970838, std values: 1.0226719632807029, min values: -2.783691185534105, max values: 3.4566816047670264, median values: -0.552113133533682, and quantile values: 0.25 -1.292851\n0.50 -0.552113\n0.75 0.214485\nName: 10994, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3324362731564733, std values: 0.9572788777758338, min values: -2.981718296512785, max values: 5.0, median values: 0.5140011972737163, and quantile values: 0.25 -0.289129\n0.50 0.514001\n0.75 1.043809\nName: 10995, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1341851408271888, std values: 0.7944708485360105, min values: -2.589966702820638, max values: 6.0, median values: -0.2240726335326226, and quantile values: 0.25 -0.710933\n0.50 -0.224073\n0.75 0.362794\nName: 10996, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12697058365852323, std values: 0.7570975032210154, min values: -2.414039489297912, max values: 6.0, median values: 0.1200839937954015, and quantile values: 0.25 -0.359816\n0.50 0.120084\n0.75 0.604507\nName: 10997, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.251236368501422, std values: 0.7439451164954771, min values: -2.264034258932616, max values: 3.0, median values: -0.2600447639494811, and quantile values: 0.25 -0.757525\n0.50 -0.260045\n0.75 0.186007\nName: 10998, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27783661195939124, std values: 0.9258571206028482, min values: -2.673549169958716, max values: 6.0, median values: -0.2947239183172824, and quantile values: 0.25 -0.866694\n0.50 -0.294724\n0.75 0.225091\nName: 10999, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3194198070932485, std values: 0.875368920340166, min values: -1.9611873305364813, max values: 3.528773265847577, median values: -0.4012089184769319, and quantile values: 0.25 -1.044858\n0.50 -0.401209\n0.75 0.272476\nName: 11000, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10316235972015364, std values: 0.8563392894150269, min values: -2.446475285346346, max values: 3.434669824302974, median values: 0.1242735870598186, and quantile values: 0.25 -0.525760\n0.50 0.124274\n0.75 0.728895\nName: 11001, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5290870321496213, std values: 0.8691555506215075, min values: -2.5953860446419177, max values: 5.0, median values: -0.6239625737646622, and quantile values: 0.25 -1.168171\n0.50 -0.623963\n0.75 0.001843\nName: 11002, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3517084516677071, std values: 0.9412516243187742, min values: -2.560041333834972, max values: 3.4758930087721422, median values: 0.3546779071242752, and quantile values: 0.25 -0.258925\n0.50 0.354678\n0.75 0.955167\nName: 11003, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5464621511431954, std values: 1.0508889809172268, min values: -2.3893642989164, max values: 3.760287110694155, median values: 0.4700165110645848, and quantile values: 0.25 -0.266821\n0.50 0.470017\n0.75 1.497997\nName: 11004, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32568703173149777, std values: 0.9480255786911803, min values: -2.183722557461629, max values: 3.1175233493066874, median values: -0.4136868022896067, and quantile values: 0.25 -1.108173\n0.50 -0.413687\n0.75 0.341162\nName: 11005, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2680413793530929, std values: 0.9547085741649486, min values: -3.24173864501462, max values: 3.319774799707247, median values: -0.4065445510047562, and quantile values: 0.25 -0.992122\n0.50 -0.406545\n0.75 0.321195\nName: 11006, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6450417158840932, std values: 0.8268650649591017, min values: -2.419133598913117, max values: 3.397048482165858, median values: 0.7295427493881068, and quantile values: 0.25 0.057479\n0.50 0.729543\n0.75 1.285851\nName: 11007, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7783213991981145, std values: 0.7912924656601154, min values: -2.536941606705235, max values: 4.0, median values: 0.879225023217393, and quantile values: 0.25 0.283637\n0.50 0.879225\n0.75 1.315660\nName: 11008, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39754867549741196, std values: 1.05231442262923, min values: -2.769191083399913, max values: 3.281452258958016, median values: -0.3635497676753908, and quantile values: 0.25 -0.915893\n0.50 -0.363550\n0.75 0.231594\nName: 11009, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15678973239538369, std values: 0.8340495996088991, min values: -2.1760176048873388, max values: 3.518664430018096, median values: 0.1637358553904848, and quantile values: 0.25 -0.413949\n0.50 0.163736\n0.75 0.668280\nName: 11010, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5062115472926392, std values: 0.9785092303841683, min values: -2.5122218748354936, max values: 3.0, median values: -0.4970261051801617, and quantile values: 0.25 -1.361851\n0.50 -0.497026\n0.75 0.197128\nName: 11011, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02454279216533978, std values: 0.773510868795543, min values: -2.439930808627264, max values: 4.0, median values: 0.0797089705882973, and quantile values: 0.25 -0.526677\n0.50 0.079709\n0.75 0.535999\nName: 11012, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.48676180843656525, std values: 1.0001226953708853, min values: -2.0655543577253828, max values: 4.0, median values: 0.5276955150581749, and quantile values: 0.25 -0.271333\n0.50 0.527696\n0.75 1.330061\nName: 11013, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18459172513514502, std values: 0.735573325485788, min values: -2.4176069991382847, max values: 6.0, median values: 0.1700450206573412, and quantile values: 0.25 -0.294005\n0.50 0.170045\n0.75 0.633149\nName: 11014, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20680829840088966, std values: 1.3546343840135797, min values: -2.928515832252388, max values: 3.598076523509904, median values: 0.0016307815309678, and quantile values: 0.25 -1.227049\n0.50 0.001631\n0.75 0.709853\nName: 11015, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22686653091273018, std values: 0.9838476840920137, min values: -2.5825978442440407, max values: 6.0, median values: 0.1788697949339653, and quantile values: 0.25 -0.545821\n0.50 0.178870\n0.75 1.043717\nName: 11016, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.9651585485728089, std values: 1.1077257704049934, min values: -2.3041396256050537, max values: 4.278004674434932, median values: 0.9582717787909129, and quantile values: 0.25 0.196932\n0.50 0.958272\n0.75 1.775947\nName: 11017, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21150284838632247, std values: 0.9877271389408935, min values: -2.6660404517971856, max values: 4.0, median values: -0.1188081159932725, and quantile values: 0.25 -0.810247\n0.50 -0.118808\n0.75 0.418461\nName: 11018, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43614657370935206, std values: 1.0583276913124646, min values: -2.157019117459074, max values: 4.0, median values: 0.6003468459126527, and quantile values: 0.25 -0.342898\n0.50 0.600347\n0.75 1.260026\nName: 11019, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20723105948132325, std values: 1.0872648595492833, min values: -2.56026492390943, max values: 4.0, median values: 0.2396352283560822, and quantile values: 0.25 -0.604129\n0.50 0.239635\n0.75 1.117277\nName: 11020, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23742750877981061, std values: 1.0227317008421148, min values: -2.789830374413015, max values: 3.670892362631932, median values: -0.3679664321285331, and quantile values: 0.25 -1.046298\n0.50 -0.367966\n0.75 0.500377\nName: 11021, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9203700771332185, std values: 1.502772070457549, min values: -2.727901130262228, max values: 4.0, median values: -1.6990507434807764, and quantile values: 0.25 -2.140406\n0.50 -1.699051\n0.75 0.336291\nName: 11022, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24229294709305224, std values: 0.8685375097051719, min values: -2.2329528107724816, max values: 3.030805337148847, median values: 0.2732939320074503, and quantile values: 0.25 -0.387263\n0.50 0.273294\n0.75 0.889386\nName: 11023, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17870054954029665, std values: 1.080376665995295, min values: -2.891990595045606, max values: 6.0, median values: 0.3148027178519942, and quantile values: 0.25 -0.405570\n0.50 0.314803\n0.75 0.888586\nName: 11024, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16404431013690585, std values: 0.9362241873184871, min values: -2.580492024304656, max values: 4.0, median values: 0.1556170668259409, and quantile values: 0.25 -0.566813\n0.50 0.155617\n0.75 0.875259\nName: 11025, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6022803658687782, std values: 1.2537315150353179, min values: -2.622709665346679, max values: 3.4758930087721422, median values: 0.6973205382371013, and quantile values: 0.25 -0.280659\n0.50 0.697321\n0.75 1.646401\nName: 11026, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11351402671009156, std values: 0.9501982508600224, min values: -2.011274058715068, max values: 5.0, median values: 0.1602875252560855, and quantile values: 0.25 -0.616019\n0.50 0.160288\n0.75 0.826980\nName: 11027, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2979749889052934, std values: 0.7744713837654322, min values: -2.3893642989164, max values: 3.319774799707247, median values: 0.3860027710337788, and quantile values: 0.25 -0.221591\n0.50 0.386003\n0.75 0.837547\nName: 11028, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2176795622714797, std values: 1.0020933065422528, min values: -2.139240137243519, max values: 5.0, median values: -0.3406072737302859, and quantile values: 0.25 -1.025164\n0.50 -0.340607\n0.75 0.471699\nName: 11029, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11791352563721261, std values: 0.7701561134119271, min values: -2.0446222759012818, max values: 4.0, median values: -0.1045601828326854, and quantile values: 0.25 -0.641140\n0.50 -0.104560\n0.75 0.341795\nName: 11030, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.047210131717126104, std values: 1.3638875013518745, min values: -2.815821936576896, max values: 3.8226908388056136, median values: 0.2273456103903744, and quantile values: 0.25 -0.795158\n0.50 0.227346\n0.75 0.858180\nName: 11031, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05833397330792683, std values: 0.8698844779928947, min values: -2.4564928597243227, max values: 4.0, median values: 0.0590733318045562, and quantile values: 0.25 -0.511762\n0.50 0.059073\n0.75 0.560362\nName: 11032, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.163221224938604, std values: 1.1259298206833321, min values: -2.673124659932621, max values: 6.0, median values: 0.1271646479260743, and quantile values: 0.25 -0.700156\n0.50 0.127165\n0.75 1.014905\nName: 11033, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1314096927083499, std values: 0.8000772354502393, min values: -2.344536258838562, max values: 4.0, median values: 0.1441148227539686, and quantile values: 0.25 -0.420988\n0.50 0.144115\n0.75 0.668612\nName: 11034, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3615701678361174, std values: 0.8350547813106843, min values: -1.894087245567949, max values: 3.2701555622463814, median values: 0.4202055360002179, and quantile values: 0.25 -0.222495\n0.50 0.420206\n0.75 0.969358\nName: 11035, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22381422225668007, std values: 0.8668512137339859, min values: -2.1219883452521704, max values: 3.598076523509904, median values: -0.2372279375516497, and quantile values: 0.25 -0.893289\n0.50 -0.237228\n0.75 0.442704\nName: 11036, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7006469117731607, std values: 0.9249747287735346, min values: -2.0110523292439657, max values: 4.0, median values: 0.792373216785326, and quantile values: 0.25 0.015230\n0.50 0.792373\n0.75 1.446356\nName: 11037, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09923476711777093, std values: 0.9658352707973898, min values: -2.589966702820638, max values: 6.0, median values: -0.0033088366629428, and quantile values: 0.25 -0.594553\n0.50 -0.003309\n0.75 0.756899\nName: 11038, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13463789948859203, std values: 0.7310640404005662, min values: -2.507084845405409, max values: 3.0, median values: -0.1502167167996411, and quantile values: 0.25 -0.626607\n0.50 -0.150217\n0.75 0.314513\nName: 11039, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.063668014714751, std values: 0.8202559480734416, min values: -2.579952672199424, max values: 6.0, median values: -0.1368835645308518, and quantile values: 0.25 -0.630523\n0.50 -0.136884\n0.75 0.423883\nName: 11040, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20287455220947984, std values: 0.8784907380941835, min values: -2.095777247368972, max values: 5.0, median values: 0.1280210954908137, and quantile values: 0.25 -0.352917\n0.50 0.128021\n0.75 0.738516\nName: 11041, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5269250339506583, std values: 1.0808503886554965, min values: -2.8246479422601736, max values: 6.0, median values: -0.5403618905489891, and quantile values: 0.25 -1.224731\n0.50 -0.540362\n0.75 0.138562\nName: 11042, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.055024767044635485, std values: 0.9790504268889865, min values: -2.87684958111886, max values: 3.667275230673496, median values: -0.0908577149600368, and quantile values: 0.25 -0.801106\n0.50 -0.090858\n0.75 0.620353\nName: 11043, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.398204297698327, std values: 0.8956142704391559, min values: -2.1232984465035774, max values: 5.0, median values: -0.4712778651019066, and quantile values: 0.25 -1.156151\n0.50 -0.471278\n0.75 0.220942\nName: 11044, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3387081524072741, std values: 0.8436247727027248, min values: -2.1553300733566907, max values: 5.0, median values: -0.4772873075965068, and quantile values: 0.25 -0.950628\n0.50 -0.477287\n0.75 0.198056\nName: 11045, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16778864425008844, std values: 0.9569550029033527, min values: -2.618746139350171, max values: 3.721862465295849, median values: -0.2447461867860363, and quantile values: 0.25 -0.953080\n0.50 -0.244746\n0.75 0.514620\nName: 11046, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06556933596523588, std values: 0.9047318509461071, min values: -2.299460330888208, max values: 3.017846660960028, median values: 0.0206107470520077, and quantile values: 0.25 -0.726431\n0.50 0.020611\n0.75 0.569094\nName: 11047, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2784024720610999, std values: 0.9368800107524661, min values: -2.5201815750705507, max values: 4.0, median values: -0.2351135841878291, and quantile values: 0.25 -0.974880\n0.50 -0.235114\n0.75 0.377265\nName: 11048, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1269312386046996, std values: 0.8274067491439074, min values: -2.4662681870657748, max values: 5.0, median values: -0.112708728516687, and quantile values: 0.25 -0.737678\n0.50 -0.112709\n0.75 0.478306\nName: 11049, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21116369287042577, std values: 1.1741110239047003, min values: -2.130013130592229, max values: 3.32433157891547, median values: 0.1720570720271093, and quantile values: 0.25 -0.777227\n0.50 0.172057\n0.75 1.126772\nName: 11050, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19696009077746515, std values: 0.9093338950885278, min values: -2.6850842010492566, max values: 6.0, median values: 0.2195671197773782, and quantile values: 0.25 -0.451297\n0.50 0.219567\n0.75 0.856509\nName: 11051, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07120005036321148, std values: 0.8637951639943524, min values: -2.580492024304656, max values: 3.169414082461771, median values: 0.1150648005811892, and quantile values: 0.25 -0.392006\n0.50 0.115065\n0.75 0.627614\nName: 11052, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09347315664143499, std values: 0.8483437580661277, min values: -2.099755160224712, max values: 4.0, median values: 0.1474923664197389, and quantile values: 0.25 -0.550462\n0.50 0.147492\n0.75 0.755008\nName: 11053, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27273363334049655, std values: 0.8554484714072463, min values: -1.95930647282486, max values: 6.0, median values: 0.3097438718571896, and quantile values: 0.25 -0.307114\n0.50 0.309744\n0.75 0.858259\nName: 11054, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07960716731590883, std values: 0.8959929474481934, min values: -2.060926614662576, max values: 2.783147521866149, median values: -0.0496528542422239, and quantile values: 0.25 -0.778793\n0.50 -0.049653\n0.75 0.586782\nName: 11055, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34983177645663643, std values: 0.8629731888349771, min values: -2.475272102106495, max values: 4.0, median values: -0.419182994219735, and quantile values: 0.25 -0.982220\n0.50 -0.419183\n0.75 0.187185\nName: 11056, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24465456374636038, std values: 0.8666337258823913, min values: -2.6023368942328267, max values: 3.9905524164385566, median values: -0.3584646665945777, and quantile values: 0.25 -0.889702\n0.50 -0.358465\n0.75 0.337661\nName: 11057, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21629773696273769, std values: 0.8265700391804182, min values: -2.209283142861864, max values: 6.0, median values: -0.2154427984198826, and quantile values: 0.25 -0.799851\n0.50 -0.215443\n0.75 0.288340\nName: 11058, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08629028163920209, std values: 1.06883216621619, min values: -2.869671295224012, max values: 6.0, median values: 0.2670920950876679, and quantile values: 0.25 -0.472417\n0.50 0.267092\n0.75 0.801635\nName: 11059, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.022875045634620398, std values: 0.9123883910191037, min values: -2.134449825097116, max values: 3.598076523509904, median values: -0.1223311247445046, and quantile values: 0.25 -0.656277\n0.50 -0.122331\n0.75 0.559004\nName: 11060, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13328008264656843, std values: 0.8891474546861586, min values: -2.3771558481240653, max values: 4.0, median values: -0.0570648732295238, and quantile values: 0.25 -0.819921\n0.50 -0.057065\n0.75 0.480593\nName: 11061, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0638241825236046, std values: 0.850852563593093, min values: -2.7257183488872623, max values: 5.0, median values: -0.1217340834699298, and quantile values: 0.25 -0.672658\n0.50 -0.121734\n0.75 0.480487\nName: 11062, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8281196105276716, std values: 0.8905780823642445, min values: -2.245752867605861, max values: 3.438667023696733, median values: 0.9304842539491646, and quantile values: 0.25 0.170241\n0.50 0.930484\n0.75 1.531602\nName: 11063, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0856285903962629, std values: 0.8044194631695248, min values: -2.2038853164231766, max values: 2.828252328349424, median values: -0.0428388212006323, and quantile values: 0.25 -0.668865\n0.50 -0.042839\n0.75 0.461392\nName: 11064, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19782691048224513, std values: 0.9104515444074607, min values: -2.610097161345549, max values: 4.0, median values: 0.309164731640945, and quantile values: 0.25 -0.309893\n0.50 0.309165\n0.75 0.782902\nName: 11065, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3645160503807004, std values: 1.0628100383061776, min values: -2.8563982925340614, max values: 5.0, median values: -0.2744486799111117, and quantile values: 0.25 -1.167300\n0.50 -0.274449\n0.75 0.420025\nName: 11066, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35144619133739763, std values: 0.8825932032439714, min values: -2.2984641453779058, max values: 3.2328207660681025, median values: -0.4139568134718321, and quantile values: 0.25 -1.012140\n0.50 -0.413957\n0.75 0.206629\nName: 11067, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09679040166264376, std values: 1.250906685358047, min values: -3.24173864501462, max values: 3.224152805256112, median values: 0.3052095649042984, and quantile values: 0.25 -0.747205\n0.50 0.305210\n0.75 1.099059\nName: 11068, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07077533021166801, std values: 0.9187124224999205, min values: -2.87684958111886, max values: 3.721862465295849, median values: -0.055216828957894, and quantile values: 0.25 -0.656414\n0.50 -0.055217\n0.75 0.523232\nName: 11069, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1105022578046728, std values: 0.7467232480685501, min values: -2.221075353514828, max values: 2.8312708861494635, median values: 0.10078243542398, and quantile values: 0.25 -0.376256\n0.50 0.100782\n0.75 0.570762\nName: 11070, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8486210909142704, std values: 1.0660709838910996, min values: -2.815821936576896, max values: 3.4758930087721422, median values: -0.967729420169968, and quantile values: 0.25 -1.570666\n0.50 -0.967729\n0.75 -0.124520\nName: 11071, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5654142544239845, std values: 1.125525356686068, min values: -2.58513369695146, max values: 4.0, median values: 0.622097605233238, and quantile values: 0.25 -0.167168\n0.50 0.622098\n0.75 1.346772\nName: 11072, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.359210118341291, std values: 0.8888684154308605, min values: -2.9109251266226006, max values: 3.197902420311553, median values: -0.3549044356016062, and quantile values: 0.25 -0.889141\n0.50 -0.354904\n0.75 0.170660\nName: 11073, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21576767571996333, std values: 0.8856448894334165, min values: -2.919359491767569, max values: 6.0, median values: -0.2626125892745145, and quantile values: 0.25 -0.736266\n0.50 -0.262613\n0.75 0.315402\nName: 11074, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4534201511952714, std values: 1.099756079173503, min values: -2.740813841730953, max values: 3.477886732511886, median values: -0.521842740262266, and quantile values: 0.25 -1.272279\n0.50 -0.521843\n0.75 0.280194\nName: 11075, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6590548417715691, std values: 0.9920085411694002, min values: -2.0118852280441426, max values: 3.390469008396469, median values: 0.6919838294492623, and quantile values: 0.25 -0.022446\n0.50 0.691984\n0.75 1.386518\nName: 11076, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1775084476176472, std values: 0.9002980502497342, min values: -2.6320986139293034, max values: 3.0, median values: 0.2756499206879141, and quantile values: 0.25 -0.315932\n0.50 0.275650\n0.75 0.779338\nName: 11077, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3823064500706761, std values: 0.8271904264144312, min values: -2.015021092987992, max values: 2.971794873142076, median values: -0.5195362712117494, and quantile values: 0.25 -0.995244\n0.50 -0.519536\n0.75 0.131437\nName: 11078, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28098137669656664, std values: 1.0181888657300655, min values: -2.739804196611005, max values: 6.0, median values: 0.4399617057922686, and quantile values: 0.25 -0.332589\n0.50 0.439962\n0.75 1.026604\nName: 11079, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21675845961564114, std values: 0.9492225100224129, min values: -2.5293911731823453, max values: 4.026668017837955, median values: 0.3338152079206392, and quantile values: 0.25 -0.263655\n0.50 0.333815\n0.75 0.833292\nName: 11080, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3992910566376818, std values: 0.8574347782168096, min values: -2.6635706018350787, max values: 4.243835016543704, median values: 0.4284923761517681, and quantile values: 0.25 -0.155478\n0.50 0.428492\n0.75 0.959764\nName: 11081, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22736279597573555, std values: 0.9752409867100195, min values: -3.236860296211546, max values: 3.9905524164385566, median values: -0.2018780416432244, and quantile values: 0.25 -0.825717\n0.50 -0.201878\n0.75 0.349548\nName: 11082, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2258250237599435, std values: 0.9411801131497912, min values: -2.643887016977268, max values: 6.0, median values: 0.2789410745198625, and quantile values: 0.25 -0.341319\n0.50 0.278941\n0.75 0.863765\nName: 11083, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.006204883895432941, std values: 1.2294389898111484, min values: -3.21990804472754, max values: 5.0, median values: 0.1672580354321461, and quantile values: 0.25 -0.780957\n0.50 0.167258\n0.75 0.976646\nName: 11084, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2365764731898419, std values: 1.1106545380098554, min values: -2.9472833478224456, max values: 6.0, median values: -0.117255134243185, and quantile values: 0.25 -0.797275\n0.50 -0.117255\n0.75 0.508101\nName: 11085, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.510597540417224, std values: 0.918936042972347, min values: -2.1136270387555465, max values: 2.770143263071587, median values: 0.5361083258384016, and quantile values: 0.25 -0.184368\n0.50 0.536108\n0.75 1.269545\nName: 11086, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4562050318931322, std values: 0.8582957182682909, min values: -2.24438354120969, max values: 3.0774992973297404, median values: -0.6392253627471716, and quantile values: 0.25 -1.080309\n0.50 -0.639225\n0.75 0.029554\nName: 11087, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3953092032248826, std values: 0.8723979740042874, min values: -2.1921678111617107, max values: 5.0, median values: -0.4851099843132717, and quantile values: 0.25 -1.040149\n0.50 -0.485110\n0.75 0.142763\nName: 11088, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12028434641401349, std values: 0.7886984965108833, min values: -2.6404955031131814, max values: 5.0, median values: -0.1984488335791105, and quantile values: 0.25 -0.679720\n0.50 -0.198449\n0.75 0.386092\nName: 11089, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10875697135363219, std values: 0.9105453010822481, min values: -3.447534482420193, max values: 2.985133931273498, median values: -0.1198343502128167, and quantile values: 0.25 -0.625744\n0.50 -0.119834\n0.75 0.467711\nName: 11090, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02036402885646177, std values: 0.8352272687659498, min values: -2.838932175687192, max values: 4.0, median values: 0.0319785920053238, and quantile values: 0.25 -0.548250\n0.50 0.031979\n0.75 0.530224\nName: 11091, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16001664225412351, std values: 0.7250091169970884, min values: -1.9310024369999828, max values: 5.0, median values: 0.0898372749541767, and quantile values: 0.25 -0.280344\n0.50 0.089837\n0.75 0.578884\nName: 11092, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20458044459658611, std values: 1.3392016805138274, min values: -2.6668673616981367, max values: 4.278004674434932, median values: -0.1607902870645313, and quantile values: 0.25 -1.213760\n0.50 -0.160790\n0.75 0.781854\nName: 11093, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40600008643144875, std values: 0.9577215931959479, min values: -2.8164291268114208, max values: 3.141939528112806, median values: 0.5747722711290068, and quantile values: 0.25 -0.135605\n0.50 0.574772\n0.75 1.091362\nName: 11094, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40090628836207837, std values: 0.8818614918107484, min values: -2.618746139350171, max values: 3.280245386470253, median values: 0.4034916384675097, and quantile values: 0.25 -0.169430\n0.50 0.403492\n0.75 0.976520\nName: 11095, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06797007364921845, std values: 1.0698468590846686, min values: -2.6270253558526173, max values: 4.0, median values: 0.0555753897706836, and quantile values: 0.25 -0.674534\n0.50 0.055575\n0.75 0.638212\nName: 11096, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32831609478294643, std values: 0.7589921783600062, min values: -2.1269862447630747, max values: 3.667275230673496, median values: 0.3194538082698139, and quantile values: 0.25 -0.132632\n0.50 0.319454\n0.75 0.805969\nName: 11097, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3045215340051308, std values: 0.8527902982202548, min values: -2.022474596515232, max values: 5.0, median values: -0.446043502288179, and quantile values: 0.25 -0.943083\n0.50 -0.446044\n0.75 0.220237\nName: 11098, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19357583674385923, std values: 0.816056463109232, min values: -2.7016525309724218, max values: 3.670892362631932, median values: 0.2548409903445666, and quantile values: 0.25 -0.312795\n0.50 0.254841\n0.75 0.731827\nName: 11099, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.985256821866408, std values: 1.3614988186449921, min values: -3.21990804472754, max values: 5.0, median values: -1.66795228380711, and quantile values: 0.25 -2.137148\n0.50 -1.667952\n0.75 0.318741\nName: 11100, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3142794579277462, std values: 0.8904732078274145, min values: -2.783691185534105, max values: 3.17157439250477, median values: 0.3140860868251376, and quantile values: 0.25 -0.231009\n0.50 0.314086\n0.75 0.914637\nName: 11101, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2162461754878274, std values: 0.852140480050729, min values: -2.9029979285382743, max values: 6.0, median values: -0.25354617030452, and quantile values: 0.25 -0.771244\n0.50 -0.253546\n0.75 0.308240\nName: 11102, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.055148420839551154, std values: 0.8578705536325381, min values: -2.5825978442440407, max values: 6.0, median values: -0.0019828318395388, and quantile values: 0.25 -0.518833\n0.50 -0.001983\n0.75 0.557075\nName: 11103, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3680441155941027, std values: 0.7985421901778534, min values: -2.537573835824454, max values: 6.0, median values: 0.3836006675340916, and quantile values: 0.25 -0.135688\n0.50 0.383601\n0.75 0.895720\nName: 11104, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7259318715310483, std values: 0.8095726550033906, min values: -2.048935494746508, max values: 3.216771431244405, median values: 0.8046943881619253, and quantile values: 0.25 0.194209\n0.50 0.804694\n0.75 1.314613\nName: 11105, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2639913579169253, std values: 1.27692666716393, min values: -2.196708653609315, max values: 6.0, median values: 0.2330934260319392, and quantile values: 0.25 -0.836466\n0.50 0.233093\n0.75 1.239232\nName: 11106, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4063607998174979, std values: 0.9391113781547583, min values: -2.482931728382393, max values: 3.319774799707247, median values: 0.4948879019336687, and quantile values: 0.25 -0.228340\n0.50 0.494888\n0.75 1.081890\nName: 11107, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49318202057499344, std values: 1.1599778340475624, min values: -3.00972886875607, max values: 4.278004674434932, median values: -0.56387216623989, and quantile values: 0.25 -1.177704\n0.50 -0.563872\n0.75 0.167234\nName: 11108, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32652173115807065, std values: 1.0193294516607605, min values: -2.687115288423959, max values: 5.0, median values: 0.370885362313322, and quantile values: 0.25 -0.404823\n0.50 0.370885\n0.75 1.149203\nName: 11109, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5487192690631474, std values: 0.9081464169098613, min values: -2.0933077918561027, max values: 3.336438412828754, median values: -0.6919356694103275, and quantile values: 0.25 -1.304053\n0.50 -0.691936\n0.75 0.079258\nName: 11110, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3486051888674521, std values: 1.0152336275438472, min values: -2.9109251266226006, max values: 3.280245386470253, median values: 0.4252017306806507, and quantile values: 0.25 -0.348016\n0.50 0.425202\n0.75 1.150086\nName: 11111, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11847111201787176, std values: 1.033801357911309, min values: -2.4176069991382847, max values: 6.0, median values: 0.0562324729346518, and quantile values: 0.25 -0.637537\n0.50 0.056232\n0.75 0.784118\nName: 11112, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06930923083800312, std values: 1.1083657418225352, min values: -2.6320986139293034, max values: 3.0774992973297404, median values: 0.036497691167328, and quantile values: 0.25 -0.797540\n0.50 0.036498\n0.75 0.758404\nName: 11113, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5233614414301706, std values: 0.9494644372273353, min values: -2.688157591415518, max values: 5.0, median values: -0.6720438947054578, and quantile values: 0.25 -1.318150\n0.50 -0.672044\n0.75 0.115617\nName: 11114, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12812886384142916, std values: 0.8151214909559832, min values: -2.919359491767569, max values: 6.0, median values: 0.0490947709020854, and quantile values: 0.25 -0.384431\n0.50 0.049095\n0.75 0.659125\nName: 11115, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1471692577446245, std values: 0.8270505306994125, min values: -2.687115288423959, max values: 5.0, median values: -0.1367445732077378, and quantile values: 0.25 -0.731981\n0.50 -0.136745\n0.75 0.423469\nName: 11116, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40300386443348646, std values: 1.169914602987986, min values: -2.622408470084112, max values: 3.721862465295849, median values: 0.4543608806674746, and quantile values: 0.25 -0.190562\n0.50 0.454361\n0.75 1.181990\nName: 11117, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18020389446774782, std values: 1.0063128507685168, min values: -3.124705982383478, max values: 3.197902420311553, median values: 0.2852617366615656, and quantile values: 0.25 -0.313038\n0.50 0.285262\n0.75 0.814107\nName: 11118, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35852856665663924, std values: 1.020145179877, min values: -2.605844844843939, max values: 4.0, median values: -0.4082629436205399, and quantile values: 0.25 -1.163840\n0.50 -0.408263\n0.75 0.355940\nName: 11119, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03736664980118541, std values: 0.8804308993933224, min values: -2.641174291463747, max values: 6.0, median values: -0.0711525811091086, and quantile values: 0.25 -0.558972\n0.50 -0.071153\n0.75 0.469432\nName: 11120, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5968193783320501, std values: 1.0364718022245356, min values: -2.605844844843939, max values: 4.0, median values: 0.7905196582216983, and quantile values: 0.25 0.011676\n0.50 0.790520\n0.75 1.340403\nName: 11121, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5602833448914073, std values: 0.8712560499038784, min values: -2.05534056393072, max values: 3.5427287984042666, median values: 0.5979412307501717, and quantile values: 0.25 -0.061838\n0.50 0.597941\n0.75 1.222096\nName: 11122, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21777458007547973, std values: 0.8076082532377084, min values: -2.739804196611005, max values: 6.0, median values: 0.2899528092541785, and quantile values: 0.25 -0.216232\n0.50 0.289953\n0.75 0.704572\nName: 11123, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33790393924611495, std values: 0.8299147138704728, min values: -2.1180797445897666, max values: 3.319774799707247, median values: -0.4422989273464633, and quantile values: 0.25 -0.974439\n0.50 -0.442299\n0.75 0.222522\nName: 11124, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.018407923356978037, std values: 0.7584151192977404, min values: -2.572123985342288, max values: 5.0, median values: 0.1065858350184108, and quantile values: 0.25 -0.403902\n0.50 0.106586\n0.75 0.489420\nName: 11125, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19082425432858136, std values: 0.9893555172430024, min values: -2.5774281843044924, max values: 4.0, median values: 0.1622547437715933, and quantile values: 0.25 -0.553378\n0.50 0.162255\n0.75 0.909933\nName: 11126, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.373720386270806, std values: 1.2299582493321493, min values: -2.837386543755612, max values: 4.0, median values: -0.1696073060469929, and quantile values: 0.25 -1.176400\n0.50 -0.169607\n0.75 0.468203\nName: 11127, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1281568418781959, std values: 0.8429476692575585, min values: -2.5213149333948146, max values: 3.4758930087721422, median values: 0.1413307392040703, and quantile values: 0.25 -0.483274\n0.50 0.141331\n0.75 0.653204\nName: 11128, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02453342833289734, std values: 1.029166292990248, min values: -3.0363117572416627, max values: 5.0, median values: 0.0175158987301838, and quantile values: 0.25 -0.751994\n0.50 0.017516\n0.75 0.671692\nName: 11129, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4043695072710779, std values: 1.0044689053521028, min values: -2.3528267021993168, max values: 4.0, median values: 0.52029380493, and quantile values: 0.25 -0.330091\n0.50 0.520294\n0.75 1.192799\nName: 11130, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.009352838847598657, std values: 0.8049890050834957, min values: -2.5825978442440407, max values: 6.0, median values: -0.0153124564284138, and quantile values: 0.25 -0.499722\n0.50 -0.015312\n0.75 0.473094\nName: 11131, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13975889072638506, std values: 0.7793008977376401, min values: -2.475272102106495, max values: 4.0, median values: -0.1966235106048718, and quantile values: 0.25 -0.677501\n0.50 -0.196624\n0.75 0.339466\nName: 11132, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.020617751946585536, std values: 1.0132011788165827, min values: -2.8350118695332047, max values: 5.0, median values: 0.0396394498643607, and quantile values: 0.25 -0.658832\n0.50 0.039639\n0.75 0.617973\nName: 11133, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45043982673657035, std values: 0.9004522116491689, min values: -2.662750916816848, max values: 5.0, median values: -0.533763108710246, and quantile values: 0.25 -1.043891\n0.50 -0.533763\n0.75 0.117021\nName: 11134, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3761110906595301, std values: 0.8868483187437959, min values: -2.860922438481449, max values: 3.0774992973297404, median values: -0.4340232073008928, and quantile values: 0.25 -1.052590\n0.50 -0.434023\n0.75 0.232612\nName: 11135, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5221950433145325, std values: 0.9817358802117722, min values: -2.634919142586459, max values: 6.0, median values: 0.7020602770685695, and quantile values: 0.25 0.032243\n0.50 0.702060\n0.75 1.153156\nName: 11136, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7926168475144484, std values: 0.9751233517488808, min values: -2.5213149333948146, max values: 3.528773265847577, median values: 0.9483808229401496, and quantile values: 0.25 0.129667\n0.50 0.948381\n0.75 1.548733\nName: 11137, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03968243988353173, std values: 0.8391316643532803, min values: -2.5961021427111413, max values: 3.250922035035844, median values: -0.0037106257162176, and quantile values: 0.25 -0.539119\n0.50 -0.003711\n0.75 0.471382\nName: 11138, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12430893949646103, std values: 0.8356437885132119, min values: -2.1775880058603043, max values: 3.2906806286429298, median values: -0.1099653851028668, and quantile values: 0.25 -0.719005\n0.50 -0.109965\n0.75 0.388734\nName: 11139, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14681552007177015, std values: 0.8517686306373926, min values: -2.7016525309724218, max values: 2.9325508639431663, median values: 0.1561951039036066, and quantile values: 0.25 -0.398942\n0.50 0.156195\n0.75 0.711287\nName: 11140, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3766597432245331, std values: 0.8690297906611859, min values: -2.739804196611005, max values: 6.0, median values: -0.4619996934391391, and quantile values: 0.25 -1.086550\n0.50 -0.462000\n0.75 0.228314\nName: 11141, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.015200302843012117, std values: 0.9374323598306247, min values: -2.1212040292999417, max values: 5.0, median values: -0.1472056567165686, and quantile values: 0.25 -0.699104\n0.50 -0.147206\n0.75 0.629157\nName: 11142, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5971931352691839, std values: 1.0113217817620075, min values: -2.732564679617164, max values: 3.319774799707247, median values: 0.5590360566602168, and quantile values: 0.25 -0.163985\n0.50 0.559036\n0.75 1.382493\nName: 11143, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33141914633884956, std values: 0.9183711073861796, min values: -2.727901130262228, max values: 4.0, median values: -0.4405381989956683, and quantile values: 0.25 -0.957313\n0.50 -0.440538\n0.75 0.197273\nName: 11144, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02314892335017269, std values: 0.7740563417257081, min values: -1.9426828178266249, max values: 5.0, median values: -0.0785125505112234, and quantile values: 0.25 -0.530255\n0.50 -0.078513\n0.75 0.440720\nName: 11145, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2313884004926497, std values: 0.8035803998478569, min values: -2.3333312203517527, max values: 3.0, median values: -0.3214945515705542, and quantile values: 0.25 -0.776140\n0.50 -0.321495\n0.75 0.232301\nName: 11146, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33158454710317514, std values: 0.8362065639669635, min values: -2.5682675825126706, max values: 5.0, median values: 0.3750387161943656, and quantile values: 0.25 -0.236066\n0.50 0.375039\n0.75 0.897453\nName: 11147, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.040520371496465035, std values: 0.7554488237020868, min values: -2.12073996675014, max values: 3.0, median values: 0.0137425497685228, and quantile values: 0.25 -0.453167\n0.50 0.013743\n0.75 0.507429\nName: 11148, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24561141214812768, std values: 1.0753547336101, min values: -2.801183634509044, max values: 5.0, median values: -0.050280424134175, and quantile values: 0.25 -0.86223\n0.50 -0.05028\n0.75 0.46500\nName: 11149, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22469635982138872, std values: 0.9350835855670461, min values: -2.584593648802428, max values: 3.4217036547572275, median values: 0.337113649593383, and quantile values: 0.25 -0.350283\n0.50 0.337114\n0.75 0.819022\nName: 11150, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5184746132002519, std values: 1.1862961271456685, min values: -2.876502173242568, max values: 3.2328207660681025, median values: 0.5464516549351074, and quantile values: 0.25 -0.354426\n0.50 0.546452\n0.75 1.490060\nName: 11151, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18352162094046973, std values: 0.7832170025686916, min values: -2.439930808627264, max values: 4.0, median values: -0.2407690425119233, and quantile values: 0.25 -0.698471\n0.50 -0.240769\n0.75 0.271798\nName: 11152, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22953595076210667, std values: 0.9721212313697214, min values: -2.022840155004269, max values: 6.0, median values: -0.3900417355965763, and quantile values: 0.25 -0.980476\n0.50 -0.390042\n0.75 0.374532\nName: 11153, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2738864602621978, std values: 0.8254483212860858, min values: -2.5689076212724418, max values: 5.0, median values: 0.2925063716185282, and quantile values: 0.25 -0.258676\n0.50 0.292506\n0.75 0.799321\nName: 11154, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14421979114981373, std values: 0.8459651326575076, min values: -3.124705982383478, max values: 3.0651860794139534, median values: -0.0935219613253912, and quantile values: 0.25 -0.628821\n0.50 -0.093522\n0.75 0.392951\nName: 11155, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41729255028666845, std values: 0.9207350525011853, min values: -2.6122411453164007, max values: 4.0, median values: -0.4728347720589234, and quantile values: 0.25 -1.000143\n0.50 -0.472835\n0.75 0.113208\nName: 11156, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36143917359956085, std values: 0.8738710568583336, min values: -2.5825978442440407, max values: 6.0, median values: 0.285901809977687, and quantile values: 0.25 -0.272333\n0.50 0.285902\n0.75 0.975323\nName: 11157, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09083230242237379, std values: 0.8119300593670221, min values: -2.2223751203214435, max values: 3.477886732511886, median values: 0.1165926503053187, and quantile values: 0.25 -0.466882\n0.50 0.116593\n0.75 0.651026\nName: 11158, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1254097667526949, std values: 0.8996508273183541, min values: -2.3184884946917497, max values: 6.0, median values: -0.2590181146807189, and quantile values: 0.25 -0.763591\n0.50 -0.259018\n0.75 0.423758\nName: 11159, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03253219476965532, std values: 0.8857232914491836, min values: -2.5859127503381347, max values: 3.0, median values: 0.0413248728520935, and quantile values: 0.25 -0.629425\n0.50 0.041325\n0.75 0.655957\nName: 11160, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11288479963765369, std values: 0.8609423029745242, min values: -2.2915911556076085, max values: 3.0, median values: 0.1533008806300401, and quantile values: 0.25 -0.528038\n0.50 0.153301\n0.75 0.780248\nName: 11161, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28672780580494184, std values: 0.7810885136344786, min values: -1.8737373090723053, max values: 3.0, median values: 0.3429482317142967, and quantile values: 0.25 -0.249084\n0.50 0.342948\n0.75 0.842838\nName: 11162, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.005232448666899933, std values: 0.8407697152721638, min values: -2.0884068356849723, max values: 3.1047159712539405, median values: -0.0492602067068031, and quantile values: 0.25 -0.626549\n0.50 -0.049260\n0.75 0.535206\nName: 11163, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0645191192958742, std values: 0.925318196567698, min values: -3.071284484560209, max values: 3.438667023696733, median values: -0.019523340873319, and quantile values: 0.25 -0.588825\n0.50 -0.019523\n0.75 0.694791\nName: 11164, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14986383118979946, std values: 0.7988099337569592, min values: -2.579723791499676, max values: 4.243835016543704, median values: -0.2273698637092343, and quantile values: 0.25 -0.68288\n0.50 -0.22737\n0.75 0.33667\nName: 11165, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10352303793869141, std values: 0.9813574540112926, min values: -2.337709381840067, max values: 3.760287110694155, median values: -0.2187417283850559, and quantile values: 0.25 -0.831150\n0.50 -0.218742\n0.75 0.486916\nName: 11166, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36281508173097077, std values: 0.8881428274415424, min values: -2.4502625580775623, max values: 5.0, median values: -0.5318563765224399, and quantile values: 0.25 -1.017535\n0.50 -0.531856\n0.75 0.180616\nName: 11167, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25217913272361553, std values: 0.751478698924578, min values: -1.8905054100511105, max values: 3.0, median values: -0.3684084921912675, and quantile values: 0.25 -0.789497\n0.50 -0.368408\n0.75 0.221620\nName: 11168, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16838064628525082, std values: 0.7532447817875719, min values: -2.6635706018350787, max values: 3.135426854633533, median values: 0.1549202346709274, and quantile values: 0.25 -0.313168\n0.50 0.154920\n0.75 0.664978\nName: 11169, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05629990768365846, std values: 0.7734402496852915, min values: -2.279638670509252, max values: 6.0, median values: -0.07627517498784, and quantile values: 0.25 -0.577311\n0.50 -0.076275\n0.75 0.408323\nName: 11170, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5422016739543649, std values: 0.8038633920834934, min values: -1.8288909769342152, max values: 3.0089865423056903, median values: 0.6058316881526372, and quantile values: 0.25 0.006003\n0.50 0.605832\n0.75 1.116454\nName: 11171, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20204372742620672, std values: 0.845488658352662, min values: -2.212004168819108, max values: 3.670892362631932, median values: -0.3077360270657179, and quantile values: 0.25 -0.848943\n0.50 -0.307736\n0.75 0.333813\nName: 11172, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31474867246293803, std values: 0.9042848219603566, min values: -2.610097161345549, max values: 4.0, median values: 0.4378087333436288, and quantile values: 0.25 -0.135103\n0.50 0.437809\n0.75 0.861089\nName: 11173, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.030294694759210018, std values: 0.7640099438291073, min values: -2.079371595256712, max values: 4.0, median values: -0.0020929893205766, and quantile values: 0.25 -0.454999\n0.50 -0.002093\n0.75 0.469893\nName: 11174, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09388539618756725, std values: 0.8301085613593413, min values: -2.0895394959649525, max values: 3.5581019918925243, median values: 0.0333287380603679, and quantile values: 0.25 -0.449417\n0.50 0.033329\n0.75 0.599786\nName: 11175, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2770177596047952, std values: 0.7840063158283499, min values: -2.7016525309724218, max values: 3.319774799707247, median values: 0.3521118527842894, and quantile values: 0.25 -0.190554\n0.50 0.352112\n0.75 0.784890\nName: 11176, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07348399172386703, std values: 0.7354103748479546, min values: -3.0223671288921072, max values: 3.867701659180865, median values: 0.0853099998688721, and quantile values: 0.25 -0.434560\n0.50 0.085310\n0.75 0.543381\nName: 11177, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05773509316307272, std values: 0.7695878466966546, min values: -2.841647375415054, max values: 5.0, median values: -0.1403520658305853, and quantile values: 0.25 -0.583318\n0.50 -0.140352\n0.75 0.425072\nName: 11178, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.183491869843446, std values: 1.1956354022339415, min values: -2.662750916816848, max values: 5.0, median values: 0.2118260622859084, and quantile values: 0.25 -0.767418\n0.50 0.211826\n0.75 1.176713\nName: 11179, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21097952621718327, std values: 0.7933889951771502, min values: -2.7648443048846945, max values: 3.630507857092792, median values: 0.1105506360250113, and quantile values: 0.25 -0.352665\n0.50 0.110551\n0.75 0.759258\nName: 11180, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2345506968297082, std values: 0.95989820247306, min values: -2.0632349629260616, max values: 3.0046625681201315, median values: -0.273848208107304, and quantile values: 0.25 -1.024166\n0.50 -0.273848\n0.75 0.431134\nName: 11181, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.514578842744822, std values: 1.0348508104103018, min values: -2.6652153608723106, max values: 3.760287110694155, median values: 0.6532920019009759, and quantile values: 0.25 -0.112620\n0.50 0.653292\n0.75 1.276133\nName: 11182, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40275275363113, std values: 1.1599147440343522, min values: -2.6635706018350787, max values: 3.9048392686725855, median values: 0.3323393484544561, and quantile values: 0.25 -0.528647\n0.50 0.332339\n0.75 1.285797\nName: 11183, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3820128949865093, std values: 1.0166555111213929, min values: -2.8889090019311845, max values: 6.0, median values: -0.5257948990920811, and quantile values: 0.25 -1.084358\n0.50 -0.525795\n0.75 0.249790\nName: 11184, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08199273562049718, std values: 0.8683664728567407, min values: -2.0407136277056424, max values: 5.0, median values: -0.1648503854414648, and quantile values: 0.25 -0.755259\n0.50 -0.164850\n0.75 0.511269\nName: 11185, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.620241512088116, std values: 0.9199331819357562, min values: -2.542889966859849, max values: 6.0, median values: 0.7256008473860786, and quantile values: 0.25 0.014654\n0.50 0.725601\n0.75 1.329394\nName: 11186, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04404810193824245, std values: 1.0620431365106529, min values: -2.841647375415054, max values: 2.8696712952240047, median values: -0.0172404640110574, and quantile values: 0.25 -0.801888\n0.50 -0.017240\n0.75 0.724221\nName: 11187, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03199230790025752, std values: 0.784578614553226, min values: -2.264034258932616, max values: 3.390469008396469, median values: -0.0358914292852605, and quantile values: 0.25 -0.539056\n0.50 -0.035891\n0.75 0.570373\nName: 11188, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0862636641585355, std values: 0.9228311145585233, min values: -2.5953860446419177, max values: 5.0, median values: 0.1274267424115996, and quantile values: 0.25 -0.505387\n0.50 0.127427\n0.75 0.735911\nName: 11189, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4211046509222127, std values: 0.887880851688088, min values: -2.4478914006879906, max values: 6.0, median values: -0.5022195761313083, and quantile values: 0.25 -1.058428\n0.50 -0.502220\n0.75 0.117949\nName: 11190, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18442417819625434, std values: 0.9202335658080351, min values: -2.221075353514828, max values: 2.7469311356299464, median values: 0.2807166878087346, and quantile values: 0.25 -0.519320\n0.50 0.280717\n0.75 0.892022\nName: 11191, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02089438080821308, std values: 0.824535767903958, min values: -2.8998169811239416, max values: 3.709787027503053, median values: -0.0435809849070274, and quantile values: 0.25 -0.628184\n0.50 -0.043581\n0.75 0.596657\nName: 11192, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29791690897473955, std values: 1.1412541663980351, min values: -2.688157591415518, max values: 3.496479817235339, median values: -0.382770826014325, and quantile values: 0.25 -1.254037\n0.50 -0.382771\n0.75 0.540999\nName: 11193, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2569237155542113, std values: 0.9979342435983848, min values: -2.7016525309724218, max values: 3.438667023696733, median values: -0.371622964930901, and quantile values: 0.25 -1.057105\n0.50 -0.371623\n0.75 0.459646\nName: 11194, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32724012208403386, std values: 1.0074172375520705, min values: -2.8531572940820533, max values: 3.0, median values: -0.4048529759490265, and quantile values: 0.25 -0.961038\n0.50 -0.404853\n0.75 0.320200\nName: 11195, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02929558561044327, std values: 0.9746457493043651, min values: -2.5631960397140583, max values: 4.0, median values: 0.0230248999820716, and quantile values: 0.25 -0.770404\n0.50 0.023025\n0.75 0.739991\nName: 11196, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3826289683862248, std values: 0.8156431307615069, min values: -2.1124050188802093, max values: 3.721862465295849, median values: -0.4923784001432822, and quantile values: 0.25 -0.971431\n0.50 -0.492378\n0.75 0.112525\nName: 11197, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3779066407884803, std values: 0.9557365436910009, min values: -2.6404955031131814, max values: 5.0, median values: -0.429972017583486, and quantile values: 0.25 -1.026044\n0.50 -0.429972\n0.75 0.225236\nName: 11198, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16062685832106377, std values: 0.889542232092257, min values: -2.688157591415518, max values: 5.0, median values: -0.2710620335605614, and quantile values: 0.25 -0.828079\n0.50 -0.271062\n0.75 0.437627\nName: 11199, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09158277347790923, std values: 0.9444093942572409, min values: -2.062310304625852, max values: 5.0, median values: -0.0109884070392376, and quantile values: 0.25 -0.602768\n0.50 -0.010988\n0.75 0.731111\nName: 11200, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11484388061655677, std values: 0.9183836774381702, min values: -2.737201088051888, max values: 3.163266084685921, median values: 0.1946023785747919, and quantile values: 0.25 -0.431756\n0.50 0.194602\n0.75 0.696785\nName: 11201, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34593342769552166, std values: 1.1349200028646074, min values: -2.7211321814067784, max values: 3.784832159836258, median values: 0.3204239574208347, and quantile values: 0.25 -0.406545\n0.50 0.320424\n0.75 1.228505\nName: 11202, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.035313878562057664, std values: 1.0302138612273166, min values: -2.497627580948261, max values: 3.169414082461771, median values: 0.0564304483222211, and quantile values: 0.25 -0.719923\n0.50 0.056430\n0.75 0.673522\nName: 11203, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17750709855356572, std values: 0.8266671831840281, min values: -2.7542003929097176, max values: 5.0, median values: 0.2413138388215271, and quantile values: 0.25 -0.317166\n0.50 0.241314\n0.75 0.729265\nName: 11204, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4245562936052563, std values: 0.8443202608166802, min values: -2.2915911556076085, max values: 3.216771431244405, median values: 0.478312867036554, and quantile values: 0.25 -0.185358\n0.50 0.478313\n0.75 1.082997\nName: 11205, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24192236495082256, std values: 0.9075797059258482, min values: -3.0223671288921072, max values: 3.1801075704642923, median values: -0.3056551271129841, and quantile values: 0.25 -0.892599\n0.50 -0.305655\n0.75 0.317263\nName: 11206, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.48390895865230593, std values: 0.8368876656069884, min values: -2.300042081328127, max values: 4.0, median values: -0.5630652346601738, and quantile values: 0.25 -1.119541\n0.50 -0.563065\n0.75 0.054527\nName: 11207, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0036010177950577655, std values: 0.8215967916285845, min values: -1.989074010495094, max values: 5.0, median values: -0.0673382899174235, and quantile values: 0.25 -0.590681\n0.50 -0.067338\n0.75 0.547066\nName: 11208, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2959734425900424, std values: 0.857446850517929, min values: -2.657750824678472, max values: 5.0, median values: -0.3227386094691934, and quantile values: 0.25 -0.867865\n0.50 -0.322739\n0.75 0.224654\nName: 11209, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22248838006260813, std values: 0.8179605006287906, min values: -2.3184884946917497, max values: 6.0, median values: -0.2712091500065147, and quantile values: 0.25 -0.790896\n0.50 -0.271209\n0.75 0.274349\nName: 11210, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10885775867576171, std values: 0.9136652861530443, min values: -2.8563982925340614, max values: 4.0, median values: -0.0209038609102375, and quantile values: 0.25 -0.705360\n0.50 -0.020904\n0.75 0.488645\nName: 11211, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09485463661806502, std values: 0.8837634479111051, min values: -2.5689076212724418, max values: 5.0, median values: -0.1717775789763545, and quantile values: 0.25 -0.728236\n0.50 -0.171778\n0.75 0.462552\nName: 11212, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23617610235858455, std values: 0.7995655481576059, min values: -2.0446222759012818, max values: 4.0, median values: 0.2963566827269815, and quantile values: 0.25 -0.316308\n0.50 0.296357\n0.75 0.778730\nName: 11213, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05008064373966521, std values: 0.8367462772356838, min values: -2.58513369695146, max values: 4.0, median values: 0.0233830074475066, and quantile values: 0.25 -0.551398\n0.50 0.023383\n0.75 0.485001\nName: 11214, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.530543170416755, std values: 0.9025500755052208, min values: -2.162123508609361, max values: 3.397048482165858, median values: 0.5712808617112363, and quantile values: 0.25 -0.056955\n0.50 0.571281\n0.75 1.091083\nName: 11215, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5540112013056477, std values: 1.0076808188850093, min values: -2.163837561516034, max values: 4.0, median values: 0.5475495960919068, and quantile values: 0.25 -0.181064\n0.50 0.547550\n0.75 1.306490\nName: 11216, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2728622245397658, std values: 0.83909481502828, min values: -2.8327898928872086, max values: 4.0, median values: 0.3537112875087684, and quantile values: 0.25 -0.323670\n0.50 0.353711\n0.75 0.877411\nName: 11217, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1797779952575877, std values: 0.8655039755749694, min values: -3.21990804472754, max values: 5.0, median values: -0.1583486794414483, and quantile values: 0.25 -0.680379\n0.50 -0.158349\n0.75 0.329918\nName: 11218, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.050314644124598525, std values: 0.8612582789867115, min values: -3.0133870328644434, max values: 3.455472209455805, median values: 0.0439944708176282, and quantile values: 0.25 -0.470293\n0.50 0.043994\n0.75 0.580861\nName: 11219, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37405962282962013, std values: 0.9320449611760188, min values: -2.5906203367024587, max values: 3.405671179043623, median values: 0.2873793498786579, and quantile values: 0.25 -0.264399\n0.50 0.287379\n0.75 1.057587\nName: 11220, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.036696151368566285, std values: 0.8729852965734608, min values: -2.789830374413015, max values: 4.278004674434932, median values: 0.0595200405058433, and quantile values: 0.25 -0.569150\n0.50 0.059520\n0.75 0.585455\nName: 11221, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11180863071574203, std values: 1.1725331687161173, min values: -2.841647375415054, max values: 3.438667023696733, median values: 0.1038710500331867, and quantile values: 0.25 -0.800155\n0.50 0.103871\n0.75 1.069611\nName: 11222, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.48009812613779174, std values: 1.012005906447169, min values: -2.7542003929097176, max values: 5.0, median values: -0.5689273855393108, and quantile values: 0.25 -1.226146\n0.50 -0.568927\n0.75 0.195900\nName: 11223, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5698481890255218, std values: 0.7726077639986696, min values: -2.1227739687253626, max values: 3.528773265847577, median values: 0.5624926876850233, and quantile values: 0.25 0.085092\n0.50 0.562493\n0.75 1.045809\nName: 11224, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11187451003118405, std values: 0.987750868695961, min values: -2.6820581866633817, max values: 3.135426854633533, median values: -0.1444765804128886, and quantile values: 0.25 -0.698471\n0.50 -0.144477\n0.75 0.551325\nName: 11225, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3536347954881567, std values: 0.814000235331659, min values: -1.995451107828815, max values: 3.349054967837474, median values: 0.4070323410632388, and quantile values: 0.25 -0.227491\n0.50 0.407032\n0.75 0.975899\nName: 11226, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40572648757873614, std values: 0.8853478286688233, min values: -2.383710264081925, max values: 3.598076523509904, median values: 0.3704723929949636, and quantile values: 0.25 -0.165074\n0.50 0.370472\n0.75 0.971518\nName: 11227, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2968555599554059, std values: 0.921148121069882, min values: -2.5445249319512966, max values: 3.477886732511886, median values: -0.382071789148766, and quantile values: 0.25 -0.988838\n0.50 -0.382072\n0.75 0.283210\nName: 11228, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7701485961559901, std values: 1.0317468852589848, min values: -2.769191083399913, max values: 3.0, median values: -0.8120454612292849, and quantile values: 0.25 -1.435932\n0.50 -0.812045\n0.75 -0.053132\nName: 11229, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10036372137440805, std values: 0.8107666844263915, min values: -2.349293916724472, max values: 3.2936960268109283, median values: 0.1241630931907959, and quantile values: 0.25 -0.449937\n0.50 0.124163\n0.75 0.611065\nName: 11230, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28273912191611295, std values: 0.7438362714082376, min values: -2.0173333848714066, max values: 6.0, median values: -0.3719770859913548, and quantile values: 0.25 -0.795645\n0.50 -0.371977\n0.75 0.177021\nName: 11231, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28906264476276805, std values: 0.758991300057874, min values: -2.507084845405409, max values: 3.569037956734876, median values: 0.2784988249949461, and quantile values: 0.25 -0.184132\n0.50 0.278499\n0.75 0.743461\nName: 11232, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06288966407422647, std values: 0.8422934702853934, min values: -2.3051489257282016, max values: 5.0, median values: 0.114760576562251, and quantile values: 0.25 -0.522064\n0.50 0.114761\n0.75 0.631706\nName: 11233, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6045931886399177, std values: 1.1671828826226944, min values: -2.982771139679002, max values: 4.0, median values: 0.6466068253639814, and quantile values: 0.25 -0.200275\n0.50 0.646607\n0.75 1.546544\nName: 11234, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17527101753118982, std values: 0.8436849959505697, min values: -2.693453432157769, max values: 3.4217036547572275, median values: 0.2756008399850932, and quantile values: 0.25 -0.245038\n0.50 0.275601\n0.75 0.694550\nName: 11235, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11542222824158312, std values: 0.9245348608247622, min values: -2.641174291463747, max values: 6.0, median values: 0.0539127758316562, and quantile values: 0.25 -0.442177\n0.50 0.053913\n0.75 0.661444\nName: 11236, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0009018070551299556, std values: 1.0143061188439846, min values: -2.783691185534105, max values: 3.477886732511886, median values: -0.0267810945694727, and quantile values: 0.25 -0.835632\n0.50 -0.026781\n0.75 0.749519\nName: 11237, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.142582927926723, std values: 1.7247428518452639, min values: -2.9797100147087465, max values: 5.0, median values: 0.3694402458806134, and quantile values: 0.25 -1.746342\n0.50 0.369440\n0.75 1.599884\nName: 11238, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06752224304551144, std values: 0.7018480439501533, min values: -2.048935494746508, max values: 2.819348159204945, median values: 0.0911434626846038, and quantile values: 0.25 -0.397116\n0.50 0.091143\n0.75 0.528608\nName: 11239, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16758218837539382, std values: 0.8243433133914768, min values: -1.9536230018109555, max values: 5.0, median values: -0.262742773216877, and quantile values: 0.25 -0.753018\n0.50 -0.262743\n0.75 0.376437\nName: 11240, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4102113849419466, std values: 1.3278209855861711, min values: -3.21990804472754, max values: 5.0, median values: -0.1617245864127447, and quantile values: 0.25 -1.794238\n0.50 -0.161725\n0.75 0.653029\nName: 11241, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03506469948191716, std values: 0.9072283004205636, min values: -2.609385158408876, max values: 4.0, median values: -0.024457348019826, and quantile values: 0.25 -0.602228\n0.50 -0.024457\n0.75 0.552196\nName: 11242, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.019972291416525775, std values: 0.9749784744095695, min values: -2.8905806324803467, max values: 3.0362913622068968, median values: 0.0076284637044806, and quantile values: 0.25 -0.599710\n0.50 0.007628\n0.75 0.728772\nName: 11243, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2908263917106007, std values: 0.7050138819623393, min values: -2.783691185534105, max values: 3.349054967837474, median values: 0.2910512967030925, and quantile values: 0.25 -0.154809\n0.50 0.291051\n0.75 0.706543\nName: 11244, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04841301159407684, std values: 0.9684396101783463, min values: -2.127515441234012, max values: 4.0, median values: -0.0609270948824544, and quantile values: 0.25 -0.649406\n0.50 -0.060927\n0.75 0.653172\nName: 11245, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15363003014031956, std values: 0.9511692585528516, min values: -2.590643619371846, max values: 4.0, median values: -0.2435043684721902, and quantile values: 0.25 -0.804792\n0.50 -0.243504\n0.75 0.471770\nName: 11246, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31310519483615223, std values: 0.9670331132290205, min values: -2.5445249319512966, max values: 3.280245386470253, median values: -0.4298511952792846, and quantile values: 0.25 -0.983152\n0.50 -0.429851\n0.75 0.361756\nName: 11247, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.022285628274705104, std values: 0.8193642271914611, min values: -2.687115288423959, max values: 5.0, median values: 0.0791399505420731, and quantile values: 0.25 -0.520455\n0.50 0.079140\n0.75 0.544148\nName: 11248, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6612283236079854, std values: 0.805823532027759, min values: -2.135527494769563, max values: 5.0, median values: -0.7854858658671486, and quantile values: 0.25 -1.251038\n0.50 -0.785486\n0.75 -0.217614\nName: 11249, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05576709917100774, std values: 0.9110508277381109, min values: -2.618746139350171, max values: 3.260388056018088, median values: -0.003190663516541, and quantile values: 0.25 -0.599457\n0.50 -0.003191\n0.75 0.700126\nName: 11250, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39874460645795234, std values: 0.8384156144284334, min values: -2.2272703849889663, max values: 3.163266084685921, median values: -0.470061453386353, and quantile values: 0.25 -1.003129\n0.50 -0.470061\n0.75 0.054831\nName: 11251, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0682616420981683, std values: 0.8021427127580695, min values: -1.9276374144872728, max values: 3.0838352979250487, median values: -0.1623227647887175, and quantile values: 0.25 -0.635172\n0.50 -0.162323\n0.75 0.428160\nName: 11252, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7911474721692647, std values: 0.9327317756189097, min values: -2.264034258932616, max values: 3.438667023696733, median values: 0.8082278341304384, and quantile values: 0.25 0.205546\n0.50 0.808228\n0.75 1.372927\nName: 11253, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2740145255627521, std values: 1.0765675106962977, min values: -2.5859127503381347, max values: 3.0, median values: 0.4094006533074309, and quantile values: 0.25 -0.453014\n0.50 0.409401\n0.75 1.130794\nName: 11254, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04364655508452207, std values: 0.7745708406191708, min values: -2.919359491767569, max values: 6.0, median values: 0.070697185711106, and quantile values: 0.25 -0.420395\n0.50 0.070697\n0.75 0.491377\nName: 11255, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4179663408211783, std values: 1.072524553346898, min values: -2.497627580948261, max values: 3.9905524164385566, median values: -0.5398520688502534, and quantile values: 0.25 -1.244978\n0.50 -0.539852\n0.75 0.347152\nName: 11256, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09249036788872582, std values: 0.807935380342491, min values: -2.149188957097492, max values: 3.670892362631932, median values: -0.2003591102659831, and quantile values: 0.25 -0.623130\n0.50 -0.200359\n0.75 0.337340\nName: 11257, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1673482101537919, std values: 0.9002890612975246, min values: -2.072440627773495, max values: 4.0, median values: 0.2675084948527251, and quantile values: 0.25 -0.480540\n0.50 0.267508\n0.75 0.855556\nName: 11258, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.212762984872345, std values: 0.985642934892787, min values: -2.622408470084112, max values: 3.2071942083719924, median values: -0.2312544681462958, and quantile values: 0.25 -0.911400\n0.50 -0.231254\n0.75 0.494518\nName: 11259, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3315441438299518, std values: 1.0347103173322725, min values: -2.769191083399913, max values: 3.3636961113187773, median values: -0.1822119541243907, and quantile values: 0.25 -0.826980\n0.50 -0.182212\n0.75 0.309887\nName: 11260, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03023733868680064, std values: 0.9314001173030418, min values: -2.6270253558526173, max values: 4.0, median values: 0.0971011100909596, and quantile values: 0.25 -0.612062\n0.50 0.097101\n0.75 0.630467\nName: 11261, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0734544915639259, std values: 0.9680505834099031, min values: -2.3771558481240653, max values: 4.243835016543704, median values: -0.0757974691178867, and quantile values: 0.25 -0.590597\n0.50 -0.075797\n0.75 0.601153\nName: 11262, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19837493447012117, std values: 1.2843808047351066, min values: -2.769191083399913, max values: 3.110498035652072, median values: 0.4568517158399676, and quantile values: 0.25 -0.471065\n0.50 0.456852\n0.75 1.157120\nName: 11263, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05088798627968087, std values: 0.8232935220434024, min values: -2.5689076212724418, max values: 5.0, median values: -0.071887126997626, and quantile values: 0.25 -0.578903\n0.50 -0.071887\n0.75 0.425176\nName: 11264, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41582352527902094, std values: 0.981369058366544, min values: -2.5953860446419177, max values: 3.5908526919299577, median values: -0.4686893390930838, and quantile values: 0.25 -1.035539\n0.50 -0.468689\n0.75 0.234225\nName: 11265, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09575632717667733, std values: 0.8215970806295366, min values: -1.983480940102163, max values: 6.0, median values: 0.0528240392134677, and quantile values: 0.25 -0.474051\n0.50 0.052824\n0.75 0.599993\nName: 11266, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3039763659662485, std values: 0.8263673695602297, min values: -2.5953860446419177, max values: 5.0, median values: -0.3586826028599403, and quantile values: 0.25 -0.798487\n0.50 -0.358683\n0.75 0.194294\nName: 11267, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1796631013821085, std values: 0.8085512095267349, min values: -2.6404955031131814, max values: 6.0, median values: -0.1499609431676987, and quantile values: 0.25 -0.754505\n0.50 -0.149961\n0.75 0.376967\nName: 11268, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01632927352074308, std values: 0.8269141982984864, min values: -2.657870006553045, max values: 3.3337116327022187, median values: -0.0431123765452177, and quantile values: 0.25 -0.490725\n0.50 -0.043112\n0.75 0.491346\nName: 11269, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2920237065432653, std values: 0.947134927614649, min values: -2.8246479422601736, max values: 6.0, median values: 0.3670530690366516, and quantile values: 0.25 -0.272419\n0.50 0.367053\n0.75 0.970725\nName: 11270, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11657182403858807, std values: 0.8128051770969902, min values: -2.053612783201618, max values: 6.0, median values: 0.1287708112890717, and quantile values: 0.25 -0.450696\n0.50 0.128771\n0.75 0.694120\nName: 11271, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.516385603768845, std values: 0.8578513988786056, min values: -2.641174291463747, max values: 6.0, median values: -0.5550607909739631, and quantile values: 0.25 -1.118099\n0.50 -0.555061\n0.75 -0.006968\nName: 11272, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31851664537703667, std values: 0.8153380243546935, min values: -2.842043939794492, max values: 3.0, median values: 0.36951669516807, and quantile values: 0.25 -0.235770\n0.50 0.369517\n0.75 0.875906\nName: 11273, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12399505742414485, std values: 0.8176761350962202, min values: -1.9934734841108936, max values: 6.0, median values: -0.1846765361394858, and quantile values: 0.25 -0.685665\n0.50 -0.184677\n0.75 0.363991\nName: 11274, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1217867776939283, std values: 0.9929754401136799, min values: -2.63315074164461, max values: 6.0, median values: 0.182407959710699, and quantile values: 0.25 -0.435113\n0.50 0.182408\n0.75 0.717353\nName: 11275, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2972280593086316, std values: 1.016498734153562, min values: -3.0687217584296813, max values: 3.2696814875916886, median values: -0.2855817586944896, and quantile values: 0.25 -1.087743\n0.50 -0.285582\n0.75 0.463905\nName: 11276, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1354900533085563, std values: 0.9056285217813429, min values: -2.068409635448683, max values: 2.934784296522457, median values: -0.1710460962986172, and quantile values: 0.25 -0.890826\n0.50 -0.171046\n0.75 0.506972\nName: 11277, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25565372526945573, std values: 0.7635407705071281, min values: -2.525881048269423, max values: 3.760287110694155, median values: -0.2848728001701038, and quantile values: 0.25 -0.775961\n0.50 -0.284873\n0.75 0.155171\nName: 11278, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34791919732241666, std values: 0.7838174665588931, min values: -2.0109169260219955, max values: 3.518664430018096, median values: 0.3995975777248669, and quantile values: 0.25 -0.173958\n0.50 0.399598\n0.75 0.864285\nName: 11279, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2283912811719917, std values: 0.8157751370105929, min values: -2.662750916816848, max values: 5.0, median values: -0.3146572167333618, and quantile values: 0.25 -0.764692\n0.50 -0.314657\n0.75 0.246476\nName: 11280, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.040152814560297956, std values: 0.8154743534822577, min values: -1.9691533142049409, max values: 3.224152805256112, median values: -0.0948773881900096, and quantile values: 0.25 -0.628420\n0.50 -0.094877\n0.75 0.488427\nName: 11281, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1225268385332625, std values: 0.9509955573773785, min values: -2.9029979285382743, max values: 6.0, median values: 0.0796378416748805, and quantile values: 0.25 -0.516671\n0.50 0.079638\n0.75 0.766023\nName: 11282, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3936692310043777, std values: 1.0051777393473422, min values: -2.8451834694312192, max values: 4.278004674434932, median values: 0.3456315368117877, and quantile values: 0.25 -0.362895\n0.50 0.345632\n0.75 1.094282\nName: 11283, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21582219975364092, std values: 0.8741650460661792, min values: -2.007734609717569, max values: 5.0, median values: 0.23878506993711, and quantile values: 0.25 -0.417350\n0.50 0.238785\n0.75 0.873874\nName: 11284, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1105622642437688, std values: 1.0685049714549955, min values: -3.062179113294277, max values: 3.455472209455805, median values: 0.0183886807575332, and quantile values: 0.25 -0.717170\n0.50 0.018389\n0.75 0.868830\nName: 11285, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.414235179350747, std values: 0.9627090021292039, min values: -2.2889362156285724, max values: 3.390469008396469, median values: -0.5118155569772369, and quantile values: 0.25 -1.167009\n0.50 -0.511816\n0.75 0.194599\nName: 11286, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24591768268660524, std values: 0.9626703271363733, min values: -2.098757565199457, max values: 6.0, median values: -0.3798388514262969, and quantile values: 0.25 -1.010351\n0.50 -0.379839\n0.75 0.357378\nName: 11287, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4549835766929985, std values: 0.8722552616900743, min values: -2.5689076212724418, max values: 5.0, median values: 0.5730446034533274, and quantile values: 0.25 -0.148926\n0.50 0.573045\n0.75 1.101190\nName: 11288, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11433902809540791, std values: 0.8257770087833628, min values: -2.6925655335731777, max values: 2.9078251235230463, median values: -0.098787228256463, and quantile values: 0.25 -0.703119\n0.50 -0.098787\n0.75 0.446037\nName: 11289, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11439671833757915, std values: 0.7903090363577232, min values: -2.469941537133514, max values: 4.0, median values: 0.1378287758016415, and quantile values: 0.25 -0.414078\n0.50 0.137829\n0.75 0.645047\nName: 11290, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3569985520623142, std values: 1.06910297935509, min values: -2.641174291463747, max values: 6.0, median values: 0.3535940216081293, and quantile values: 0.25 -0.377561\n0.50 0.353594\n0.75 1.087544\nName: 11291, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34209483311107286, std values: 1.065883431713349, min values: -2.3333312203517527, max values: 3.784832159836258, median values: 0.2670431099259232, and quantile values: 0.25 -0.524337\n0.50 0.267043\n0.75 1.140347\nName: 11292, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06726681807942897, std values: 0.8241949411704379, min values: -2.841647375415054, max values: 5.0, median values: 0.0149268619714827, and quantile values: 0.25 -0.539024\n0.50 0.014927\n0.75 0.625773\nName: 11293, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2291869246320045, std values: 1.1928428765305523, min values: -2.860922438481449, max values: 3.247416277295021, median values: -0.3520700066244627, and quantile values: 0.25 -1.296787\n0.50 -0.352070\n0.75 0.699526\nName: 11294, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4754816513017914, std values: 0.9339320222400774, min values: -2.887007053971579, max values: 3.236860296211547, median values: -0.5690128843913999, and quantile values: 0.25 -1.094837\n0.50 -0.569013\n0.75 0.085756\nName: 11295, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14542039789449063, std values: 0.9990988435999364, min values: -2.609385158408876, max values: 4.0, median values: -0.1474548470371818, and quantile values: 0.25 -0.740063\n0.50 -0.147455\n0.75 0.508384\nName: 11296, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18990600149469303, std values: 0.8696878948360388, min values: -2.0323067612940227, max values: 3.2936960268109283, median values: 0.2606804460488801, and quantile values: 0.25 -0.427454\n0.50 0.260680\n0.75 0.829401\nName: 11297, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7830047383580437, std values: 0.8182974818572536, min values: -2.486556664247513, max values: 3.258347009006034, median values: -0.9325118705198616, and quantile values: 0.25 -1.404415\n0.50 -0.932512\n0.75 -0.340578\nName: 11298, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33565891022863553, std values: 0.9359572615461597, min values: -2.5201815750705507, max values: 4.0, median values: -0.4140776355415337, and quantile values: 0.25 -1.043860\n0.50 -0.414078\n0.75 0.308678\nName: 11299, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08314924453815094, std values: 0.7507133579558282, min values: -2.122310313835986, max values: 5.0, median values: -0.0824081856245385, and quantile values: 0.25 -0.573379\n0.50 -0.082408\n0.75 0.361491\nName: 11300, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11938945161865909, std values: 0.7756112329495397, min values: -2.58513369695146, max values: 3.103622965243153, median values: -0.2044068258059675, and quantile values: 0.25 -0.657371\n0.50 -0.204407\n0.75 0.367872\nName: 11301, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1765194675980435, std values: 1.0615702162673655, min values: -2.142854198138545, max values: 5.0, median values: 0.059299336856408, and quantile values: 0.25 -0.605832\n0.50 0.059299\n0.75 0.864151\nName: 11302, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.038968012273536974, std values: 1.16776201126571, min values: -2.6466193392086392, max values: 4.0, median values: 0.220196652776705, and quantile values: 0.25 -0.651639\n0.50 0.220197\n0.75 0.949677\nName: 11303, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14306343105850675, std values: 0.9067801791939618, min values: -2.092815429397888, max values: 6.0, median values: -0.2354051564394921, and quantile values: 0.25 -0.851117\n0.50 -0.235405\n0.75 0.475400\nName: 11304, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09221818548345825, std values: 0.7489162809710449, min values: -2.537573835824454, max values: 6.0, median values: 0.1012142865075308, and quantile values: 0.25 -0.385587\n0.50 0.101214\n0.75 0.532602\nName: 11305, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4789255982017437, std values: 0.9905237900479685, min values: -2.6668673616981367, max values: 4.0, median values: -0.3483805818673212, and quantile values: 0.25 -1.027605\n0.50 -0.348381\n0.75 0.150886\nName: 11306, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0670856875674618, std values: 0.8430290447025665, min values: -2.221075353514828, max values: 3.627976272701048, median values: 0.1030967569836206, and quantile values: 0.25 -0.594914\n0.50 0.103097\n0.75 0.743544\nName: 11307, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07686042668827915, std values: 0.8678016266272361, min values: -2.5953860446419177, max values: 3.2071942083719924, median values: 0.1520813873803235, and quantile values: 0.25 -0.436457\n0.50 0.152081\n0.75 0.624681\nName: 11308, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42913384508197955, std values: 1.0543783912920353, min values: -2.7428415536925543, max values: 3.5427287984042666, median values: 0.4922162628912622, and quantile values: 0.25 -0.347790\n0.50 0.492216\n0.75 1.185676\nName: 11309, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.043978790326665684, std values: 1.1581352477999678, min values: -2.8350118695332047, max values: 5.0, median values: 0.0438290755547343, and quantile values: 0.25 -0.768355\n0.50 0.043829\n0.75 0.868373\nName: 11310, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32899725104498606, std values: 1.0124700578501047, min values: -2.643887016977268, max values: 6.0, median values: -0.4705630235404066, and quantile values: 0.25 -1.028367\n0.50 -0.470563\n0.75 0.260289\nName: 11311, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2552196971307203, std values: 0.998316032079774, min values: -2.730840794324401, max values: 3.496479817235339, median values: 0.3496684110732395, and quantile values: 0.25 -0.179273\n0.50 0.349668\n0.75 0.836030\nName: 11312, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1649300381506425, std values: 0.8090258389943693, min values: -2.0730520506365586, max values: 4.0, median values: 0.2005838966406225, and quantile values: 0.25 -0.344228\n0.50 0.200584\n0.75 0.676940\nName: 11313, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25489412262127387, std values: 1.1901453960007597, min values: -2.5695487141177, max values: 4.0, median values: 0.4086221632072289, and quantile values: 0.25 -0.549307\n0.50 0.408622\n0.75 1.116660\nName: 11314, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15236412497369678, std values: 0.9337916831435189, min values: -2.572123985342288, max values: 4.0, median values: 0.1763070347638942, and quantile values: 0.25 -0.522537\n0.50 0.176307\n0.75 0.841439\nName: 11315, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16045322622689365, std values: 0.9015943020412918, min values: -2.579952672199424, max values: 6.0, median values: -0.2491321071528258, and quantile values: 0.25 -0.864632\n0.50 -0.249132\n0.75 0.456251\nName: 11316, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.006760203069740882, std values: 0.7636957250798803, min values: -2.6635706018350787, max values: 3.0, median values: -0.0060036063116216, and quantile values: 0.25 -0.482504\n0.50 -0.006004\n0.75 0.457872\nName: 11317, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6792739916506355, std values: 1.1746845873800706, min values: -2.6820581866633817, max values: 3.709787027503053, median values: 0.959089943692415, and quantile values: 0.25 0.146513\n0.50 0.959090\n0.75 1.499886\nName: 11318, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4709480878081661, std values: 0.9215241512647072, min values: -2.5501488616953263, max values: 3.132053530264631, median values: 0.5117710549860521, and quantile values: 0.25 -0.145677\n0.50 0.511771\n0.75 1.120817\nName: 11319, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22515913838564203, std values: 0.9531130535341119, min values: -2.6270253558526173, max values: 4.0, median values: -0.1994319733438119, and quantile values: 0.25 -0.831422\n0.50 -0.199432\n0.75 0.378182\nName: 11320, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6077828309095316, std values: 0.9219485706364274, min values: -2.679056533720636, max values: 5.0, median values: -0.7642489057508322, and quantile values: 0.25 -1.316576\n0.50 -0.764249\n0.75 -0.038723\nName: 11321, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07477592617379347, std values: 0.7315887473506258, min values: -2.090851036172633, max values: 5.0, median values: -0.149093385787643, and quantile values: 0.25 -0.582624\n0.50 -0.149093\n0.75 0.370504\nName: 11322, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23343066153504535, std values: 0.8741825704636994, min values: -2.1754302383979485, max values: 4.0, median values: -0.2418005227605511, and quantile values: 0.25 -0.893360\n0.50 -0.241801\n0.75 0.342146\nName: 11323, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1079255725068819, std values: 0.8483722422832811, min values: -2.657750824678472, max values: 5.0, median values: -0.1492090161474467, and quantile values: 0.25 -0.596756\n0.50 -0.149209\n0.75 0.414181\nName: 11324, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2611328636137386, std values: 1.531848895299521, min values: -2.9666813816765707, max values: 4.0, median values: -0.1173383224921784, and quantile values: 0.25 -1.797138\n0.50 -0.117338\n0.75 0.936573\nName: 11325, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.008411922617458338, std values: 0.8007245638020217, min values: -2.117042895443173, max values: 3.1290445144064547, median values: -0.0364976911673281, and quantile values: 0.25 -0.519590\n0.50 -0.036498\n0.75 0.439234\nName: 11326, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1615297753109704, std values: 0.7489238146552778, min values: -3.0223671288921072, max values: 3.036311757241655, median values: -0.1870581636719943, and quantile values: 0.25 -0.665482\n0.50 -0.187058\n0.75 0.292884\nName: 11327, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4832414031291259, std values: 0.9749134539508993, min values: -2.061387406231346, max values: 3.627976272701048, median values: 0.4189725253437687, and quantile values: 0.25 -0.284672\n0.50 0.418973\n0.75 1.238112\nName: 11328, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26678256812656365, std values: 0.874922420097252, min values: -2.7428415536925543, max values: 5.0, median values: -0.2928836657684357, and quantile values: 0.25 -0.814732\n0.50 -0.292884\n0.75 0.245696\nName: 11329, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.009111101624528209, std values: 0.8248445746196644, min values: -2.414039489297912, max values: 6.0, median values: -0.0432226364807015, and quantile values: 0.25 -0.541159\n0.50 -0.043223\n0.75 0.482664\nName: 11330, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04427939632030317, std values: 0.9604606170518868, min values: -2.740813841730953, max values: 3.0, median values: -0.0217853197263623, and quantile values: 0.25 -0.566295\n0.50 -0.021785\n0.75 0.630754\nName: 11331, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4011026726051153, std values: 1.111059507396985, min values: -2.960014365184806, max values: 6.0, median values: -0.4420863529845265, and quantile values: 0.25 -1.112440\n0.50 -0.442086\n0.75 0.296949\nName: 11332, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22232433992369965, std values: 0.9332167025677539, min values: -2.5689076212724418, max values: 5.0, median values: -0.3332136504835612, and quantile values: 0.25 -0.917683\n0.50 -0.333214\n0.75 0.353168\nName: 11333, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3598463813046785, std values: 0.7885674236849819, min values: -2.842043939794492, max values: 3.155170554159904, median values: -0.4657106644603751, and quantile values: 0.25 -0.976387\n0.50 -0.465711\n0.75 0.165157\nName: 11334, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2235712587312197, std values: 0.9335644737077521, min values: -2.619291946286753, max values: 5.0, median values: -0.3138189688712078, and quantile values: 0.25 -0.970571\n0.50 -0.313819\n0.75 0.462526\nName: 11335, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3718758025067322, std values: 1.0213649687753632, min values: -2.5825978442440407, max values: 6.0, median values: 0.3432350139093346, and quantile values: 0.25 -0.408445\n0.50 0.343235\n0.75 1.215836\nName: 11336, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04279155097203974, std values: 0.8050121674046687, min values: -2.620939317041317, max values: 3.1485882570365185, median values: 0.0052600330498898, and quantile values: 0.25 -0.491595\n0.50 0.005260\n0.75 0.552361\nName: 11337, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13125408995165644, std values: 0.891684312555187, min values: -2.2915911556076085, max values: 4.026668017837955, median values: 0.0348167245916879, and quantile values: 0.25 -0.453444\n0.50 0.034817\n0.75 0.636626\nName: 11338, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16207937540247766, std values: 0.798709446487362, min values: -2.044138536277291, max values: 3.3337116327022187, median values: 0.1756357782391319, and quantile values: 0.25 -0.403598\n0.50 0.175636\n0.75 0.722075\nName: 11339, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5277417224718312, std values: 0.9277666429715624, min values: -2.2948308494543497, max values: 6.0, median values: 0.6259166271945344, and quantile values: 0.25 -0.121194\n0.50 0.625917\n0.75 1.221698\nName: 11340, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06268372578043725, std values: 0.7441470678266489, min values: -1.982468052069343, max values: 4.0, median values: 0.1113230968157934, and quantile values: 0.25 -0.412147\n0.50 0.111323\n0.75 0.540617\nName: 11341, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34811678984039474, std values: 0.8837813552079462, min values: -2.981718296512785, max values: 5.0, median values: -0.3439361443327484, and quantile values: 0.25 -0.863125\n0.50 -0.343936\n0.75 0.183416\nName: 11342, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3050342419215441, std values: 0.8281846665162004, min values: -2.4705236352348297, max values: 3.047545592545638, median values: 0.343585558008401, and quantile values: 0.25 -0.249839\n0.50 0.343586\n0.75 0.844647\nName: 11343, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31904190313976627, std values: 0.7758565083460458, min values: -2.740813841730953, max values: 3.0, median values: -0.2804302388459541, and quantile values: 0.25 -0.775366\n0.50 -0.280430\n0.75 0.141999\nName: 11344, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44960170162073654, std values: 1.2303409790531517, min values: -3.0148736195915964, max values: 3.9905524164385566, median values: -0.3094247288104805, and quantile values: 0.25 -1.285203\n0.50 -0.309425\n0.75 0.356527\nName: 11345, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37085984598536187, std values: 0.8212393705459469, min values: -2.146424125626329, max values: 4.0, median values: -0.4169589745783863, and quantile values: 0.25 -0.963822\n0.50 -0.416959\n0.75 0.115037\nName: 11346, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4257621524923018, std values: 0.9456297472135797, min values: -2.838932175687192, max values: 4.0, median values: -0.5111959898800801, and quantile values: 0.25 -1.058165\n0.50 -0.511196\n0.75 0.206263\nName: 11347, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17439381266029375, std values: 0.7848820085514749, min values: -2.525362520654854, max values: 5.0, median values: -0.1645433164799888, and quantile values: 0.25 -0.716498\n0.50 -0.164543\n0.75 0.303075\nName: 11348, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16359464758924647, std values: 0.770022747422271, min values: -2.572123985342288, max values: 4.0, median values: 0.100494613524194, and quantile values: 0.25 -0.330242\n0.50 0.100495\n0.75 0.647947\nName: 11349, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28106247778061927, std values: 0.9026406766074471, min values: -2.498702861737017, max values: 3.155379154255993, median values: -0.3476644790981145, and quantile values: 0.25 -0.978971\n0.50 -0.347664\n0.75 0.337289\nName: 11350, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06525104920300014, std values: 1.015284468195632, min values: -3.101800431129944, max values: 6.0, median values: -0.0249842702311731, and quantile values: 0.25 -0.579155\n0.50 -0.024984\n0.75 0.580643\nName: 11351, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09600232488786428, std values: 1.0539967113910544, min values: -2.7939007019027, max values: 3.336438412828754, median values: 0.1444347497566059, and quantile values: 0.25 -0.537241\n0.50 0.144435\n0.75 0.763370\nName: 11352, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7192812890057432, std values: 1.1850732429265092, min values: -2.7211321814067784, max values: 3.627976272701048, median values: -0.6701743562036826, and quantile values: 0.25 -1.824629\n0.50 -0.670174\n0.75 0.129047\nName: 11353, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06258877681713258, std values: 0.863478116461931, min values: -2.642042398333877, max values: 3.17157439250477, median values: 0.1760606683062756, and quantile values: 0.25 -0.466712\n0.50 0.176061\n0.75 0.663193\nName: 11354, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38319447026609205, std values: 0.8919912435629498, min values: -2.5743883495350026, max values: 5.0, median values: -0.4500936802176324, and quantile values: 0.25 -1.014193\n0.50 -0.450094\n0.75 0.202746\nName: 11355, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2125318458437463, std values: 0.8458580019691696, min values: -2.1606932778418275, max values: 4.0, median values: -0.2807166878087346, and quantile values: 0.25 -0.798080\n0.50 -0.280717\n0.75 0.342673\nName: 11356, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2103575617327808, std values: 0.8851770638958414, min values: -2.684072796644972, max values: 6.0, median values: -0.1611944745054185, and quantile values: 0.25 -0.818342\n0.50 -0.161194\n0.75 0.382178\nName: 11357, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14790264214723517, std values: 0.9508400589546663, min values: -2.065607809839877, max values: 3.0932086550988465, median values: 0.2201804667183521, and quantile values: 0.25 -0.570762\n0.50 0.220180\n0.75 0.868278\nName: 11358, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10327678065913005, std values: 0.7931512102553178, min values: -2.8531572940820533, max values: 3.0097288687560817, median values: -0.1832480631283955, and quantile values: 0.25 -0.606426\n0.50 -0.183248\n0.75 0.388869\nName: 11359, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4828434164974294, std values: 0.8049727176505617, min values: -3.066111439712689, max values: 3.3483277116524426, median values: -0.6131585958942566, and quantile values: 0.25 -1.093250\n0.50 -0.613159\n0.75 0.043884\nName: 11360, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5295385941922558, std values: 0.7905864009058575, min values: -1.9764898974341991, max values: 3.784832159836258, median values: 0.5971181854279916, and quantile values: 0.25 0.006940\n0.50 0.597118\n0.75 1.102925\nName: 11361, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13131674085183548, std values: 0.8296025541728991, min values: -1.909076379343728, max values: 3.415255285860171, median values: -0.2187981409475207, and quantile values: 0.25 -0.762707\n0.50 -0.218798\n0.75 0.400058\nName: 11362, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39621006114258656, std values: 0.9969543172493496, min values: -2.608390851963037, max values: 5.0, median values: 0.4733407182776043, and quantile values: 0.25 -0.121686\n0.50 0.473341\n0.75 1.036745\nName: 11363, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07367954924337558, std values: 1.1405246823909272, min values: -2.623568901859613, max values: 4.0, median values: -0.1253560190283897, and quantile values: 0.25 -0.732479\n0.50 -0.125356\n0.75 0.565002\nName: 11364, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3605303646952297, std values: 0.8182601523899543, min values: -2.6660404517971856, max values: 4.0, median values: -0.4268025050999681, and quantile values: 0.25 -0.935949\n0.50 -0.426803\n0.75 0.185839\nName: 11365, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0479704312374956, std values: 1.2668207282664123, min values: -2.727901130262228, max values: 4.0, median values: -1.6853971523502134, and quantile values: 0.25 -2.140406\n0.50 -1.685397\n0.75 0.115647\nName: 11366, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6911828126472256, std values: 1.844150730293501, min values: -2.944950884974346, max values: 3.9048392686725855, median values: -1.699751808164608, and quantile values: 0.25 -2.249540\n0.50 -1.699752\n0.75 0.665600\nName: 11367, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19108458115654275, std values: 0.766716948442346, min values: -2.271143658239337, max values: 6.0, median values: 0.232244578663601, and quantile values: 0.25 -0.326458\n0.50 0.232245\n0.75 0.696645\nName: 11368, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18639223034722954, std values: 1.2686203083453715, min values: -2.9622221028070275, max values: 6.0, median values: 0.0704763216645647, and quantile values: 0.25 -1.032305\n0.50 0.070476\n0.75 0.749331\nName: 11369, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0470091258790918, std values: 0.8493958749779568, min values: -2.537573835824454, max values: 6.0, median values: -0.1314068992976063, and quantile values: 0.25 -0.598864\n0.50 -0.131407\n0.75 0.463230\nName: 11370, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11215370387859515, std values: 0.8514842027879692, min values: -2.4536054974529624, max values: 6.0, median values: -0.0626653877311098, and quantile values: 0.25 -0.700821\n0.50 -0.062665\n0.75 0.408856\nName: 11371, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19168670900365317, std values: 0.9661508182554213, min values: -2.607565022042742, max values: 4.0, median values: -0.1532052258844696, and quantile values: 0.25 -0.734239\n0.50 -0.153205\n0.75 0.399137\nName: 11372, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18221491456834144, std values: 0.8721003562889045, min values: -2.8531572940820533, max values: 3.0, median values: 0.2302812374995922, and quantile values: 0.25 -0.397421\n0.50 0.230281\n0.75 0.771294\nName: 11373, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09512981989005555, std values: 0.7623780165262389, min values: -2.0884920198234647, max values: 3.000356517591168, median values: -0.1950795183130817, and quantile values: 0.25 -0.629996\n0.50 -0.195080\n0.75 0.368226\nName: 11374, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12393193979460955, std values: 0.8733617400822608, min values: -2.7024513197886706, max values: 3.082096909284949, median values: -0.2088298369794895, and quantile values: 0.25 -0.744957\n0.50 -0.208830\n0.75 0.471408\nName: 11375, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0021483383649511002, std values: 1.0461367376826785, min values: -2.9109251266226006, max values: 3.5021977227593246, median values: 0.0018726743825618, and quantile values: 0.25 -0.706048\n0.50 0.001873\n0.75 0.753054\nName: 11376, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31717381177756215, std values: 0.8453173404670824, min values: -2.321103531050575, max values: 4.0, median values: 0.3177847633013723, and quantile values: 0.25 -0.212793\n0.50 0.317785\n0.75 0.837338\nName: 11377, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3923355717867369, std values: 0.79125418984921, min values: -2.5689076212724418, max values: 5.0, median values: 0.4325712193901654, and quantile values: 0.25 -0.110492\n0.50 0.432571\n0.75 0.894323\nName: 11378, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05409303920401216, std values: 0.8210127146179089, min values: -2.349293916724472, max values: 3.379902545505621, median values: 0.0489192941765814, and quantile values: 0.25 -0.545308\n0.50 0.048919\n0.75 0.639766\nName: 11379, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10384234343731062, std values: 1.0845499420335447, min values: -2.610097161345549, max values: 4.0, median values: 0.0806121736652325, and quantile values: 0.25 -0.670485\n0.50 0.080612\n0.75 0.616886\nName: 11380, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24633161026601733, std values: 0.7592363889746926, min values: -2.161181455793125, max values: 6.0, median values: 0.2925962160414637, and quantile values: 0.25 -0.260776\n0.50 0.292596\n0.75 0.707179\nName: 11381, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.48553384828742935, std values: 0.881736832438315, min values: -2.4737574649270093, max values: 3.281452258958016, median values: 0.5479065690692891, and quantile values: 0.25 -0.078500\n0.50 0.547907\n0.75 1.107888\nName: 11382, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10811219488552666, std values: 1.0405141873173953, min values: -2.949186837165601, max values: 4.0, median values: 0.1117159004955242, and quantile values: 0.25 -0.591204\n0.50 0.111716\n0.75 0.936425\nName: 11383, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2738841312749158, std values: 0.7594040923217812, min values: -2.169018218085154, max values: 6.0, median values: -0.3330137875866623, and quantile values: 0.25 -0.808326\n0.50 -0.333014\n0.75 0.193452\nName: 11384, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13840423731760762, std values: 0.8067852899587072, min values: -2.3922473154067863, max values: 5.0, median values: 0.1181871106463488, and quantile values: 0.25 -0.426984\n0.50 0.118187\n0.75 0.655283\nName: 11385, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06555610221061851, std values: 0.8852411514485081, min values: -2.5445249319512966, max values: 3.0, median values: 0.1143799344492088, and quantile values: 0.25 -0.602966\n0.50 0.114380\n0.75 0.683284\nName: 11386, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.019033235011593718, std values: 1.0066844422033099, min values: -2.928515832252388, max values: 5.0, median values: 0.0228596206120769, and quantile values: 0.25 -0.503251\n0.50 0.022860\n0.75 0.653274\nName: 11387, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6514678169904966, std values: 1.2713933548943208, min values: -2.673549169958716, max values: 6.0, median values: 0.5815560649914483, and quantile values: 0.25 -0.195613\n0.50 0.581556\n0.75 1.609672\nName: 11388, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0174164948103059, std values: 1.0163334764586425, min values: -2.8350118695332047, max values: 5.0, median values: -0.0839537385460505, and quantile values: 0.25 -0.813655\n0.50 -0.083954\n0.75 0.667489\nName: 11389, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4677711249822683, std values: 1.014358951628031, min values: -1.996697506499118, max values: 4.0, median values: 0.537664339531134, and quantile values: 0.25 -0.299198\n0.50 0.537664\n0.75 1.329130\nName: 11390, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4246865481500287, std values: 0.9825348119247584, min values: -2.5859127503381347, max values: 3.784832159836258, median values: 0.5587314403064401, and quantile values: 0.25 -0.209361\n0.50 0.558731\n0.75 1.156374\nName: 11391, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38076027585857697, std values: 0.8084655206128232, min values: -2.087432639025188, max values: 4.0, median values: 0.451925211773304, and quantile values: 0.25 -0.186151\n0.50 0.451925\n0.75 0.957400\nName: 11392, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6343386970605959, std values: 0.9430465463302676, min values: -2.096936800955159, max values: 3.05919958255637, median values: 0.632416247670419, and quantile values: 0.25 -0.051475\n0.50 0.632416\n0.75 1.375863\nName: 11393, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5267451405409275, std values: 0.8409657783332906, min values: -2.189738911855601, max values: 4.0, median values: -0.5844455470802032, and quantile values: 0.25 -1.147891\n0.50 -0.584446\n0.75 -0.035979\nName: 11394, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5981412504602847, std values: 0.977825237807703, min values: -2.981718296512785, max values: 5.0, median values: -0.6666966147853209, and quantile values: 0.25 -1.266485\n0.50 -0.666697\n0.75 0.073641\nName: 11395, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29630819511915657, std values: 0.7764352582708524, min values: -2.439930808627264, max values: 4.0, median values: 0.3470368748538012, and quantile values: 0.25 -0.255989\n0.50 0.347037\n0.75 0.893712\nName: 11396, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.029980892624680268, std values: 0.8382891317720971, min values: -2.558791007225312, max values: 3.32433157891547, median values: 0.0469080536609651, and quantile values: 0.25 -0.447219\n0.50 0.046908\n0.75 0.530931\nName: 11397, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2415790740401385, std values: 1.3279457169166615, min values: -2.982771139679002, max values: 4.0, median values: -0.2531079384983348, and quantile values: 0.25 -1.230821\n0.50 -0.253108\n0.75 0.710005\nName: 11398, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38126920960413346, std values: 0.9160935254025947, min values: -2.684072796644972, max values: 6.0, median values: -0.3864229369202421, and quantile values: 0.25 -0.956182\n0.50 -0.386423\n0.75 0.147803\nName: 11399, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17466192782372822, std values: 0.8444935726967648, min values: -2.4902145713898545, max values: 3.9048392686725855, median values: -0.2123152108117254, and quantile values: 0.25 -0.685345\n0.50 -0.212315\n0.75 0.299732\nName: 11400, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.465107475965477, std values: 0.9598914841682277, min values: -2.508472494309823, max values: 5.0, median values: -0.6488830444852103, and quantile values: 0.25 -1.172349\n0.50 -0.648883\n0.75 0.109023\nName: 11401, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32976166069401575, std values: 0.9670159156988238, min values: -2.245752867605861, max values: 3.5021977227593246, median values: 0.2402871337606766, and quantile values: 0.25 -0.427894\n0.50 0.240287\n0.75 1.020265\nName: 11402, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22931121325875392, std values: 0.9177269412786504, min values: -3.1070421433302986, max values: 3.9905524164385566, median values: 0.3134139840724249, and quantile values: 0.25 -0.379200\n0.50 0.313414\n0.75 0.862299\nName: 11403, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42876374963024283, std values: 0.9055370443289055, min values: -2.8680719719444903, max values: 2.8950998983305065, median values: 0.5349626196589565, and quantile values: 0.25 -0.115736\n0.50 0.534963\n0.75 1.048954\nName: 11404, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5713515098406545, std values: 1.1541859077997296, min values: -2.6117120822772133, max values: 5.0, median values: 0.4355210055499991, and quantile values: 0.25 -0.305238\n0.50 0.435521\n0.75 1.521710\nName: 11405, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33335656720667256, std values: 0.8470258760203732, min values: -3.066111439712689, max values: 3.721862465295849, median values: 0.3741914018459848, and quantile values: 0.25 -0.153181\n0.50 0.374191\n0.75 0.836257\nName: 11406, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1502084090313457, std values: 0.8995309410805207, min values: -2.5122218748354936, max values: 3.9048392686725855, median values: 0.1303341996499271, and quantile values: 0.25 -0.342388\n0.50 0.130334\n0.75 0.699100\nName: 11407, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20104205221711152, std values: 1.076680116998008, min values: -2.825926939679757, max values: 3.9048392686725855, median values: -0.033769615117053, and quantile values: 0.25 -0.820609\n0.50 -0.033770\n0.75 0.605268\nName: 11408, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19462465536523066, std values: 0.737918446045504, min values: -2.090851036172633, max values: 5.0, median values: 0.1845084609870633, and quantile values: 0.25 -0.268562\n0.50 0.184508\n0.75 0.656106\nName: 11409, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13730480677027052, std values: 0.7908356282263242, min values: -2.085005777586541, max values: 6.0, median values: -0.2069460763977021, and quantile values: 0.25 -0.656858\n0.50 -0.206946\n0.75 0.322390\nName: 11410, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01895194380089059, std values: 0.8115561844507236, min values: -2.6117120822772133, max values: 5.0, median values: -0.0246769269389333, and quantile values: 0.25 -0.536245\n0.50 -0.024677\n0.75 0.519005\nName: 11411, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09882734469019791, std values: 0.9636292814756711, min values: -2.4022858368479354, max values: 3.0418703198091483, median values: -0.1216388429141606, and quantile values: 0.25 -0.848509\n0.50 -0.121639\n0.75 0.593731\nName: 11412, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19107807563897303, std values: 1.0032475171610407, min values: -2.6685266729136536, max values: 6.0, median values: -0.140776405412463, and quantile values: 0.25 -0.863636\n0.50 -0.140776\n0.75 0.482291\nName: 11413, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4046992985080539, std values: 0.8533882570791822, min values: -2.1232100101643527, max values: 6.0, median values: 0.4557319705930369, and quantile values: 0.25 -0.156099\n0.50 0.455732\n0.75 0.992843\nName: 11414, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1808829175614273, std values: 0.7791025577839576, min values: -2.6652153608723106, max values: 3.0, median values: -0.2217466448738334, and quantile values: 0.25 -0.742492\n0.50 -0.221747\n0.75 0.316669\nName: 11415, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19451672498388034, std values: 0.9825217619446254, min values: -2.486556664247513, max values: 3.438667023696733, median values: 0.2010821107255421, and quantile values: 0.25 -0.399521\n0.50 0.201082\n0.75 0.785411\nName: 11416, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27824886415355415, std values: 0.8215944613364883, min values: -2.5825978442440407, max values: 6.0, median values: 0.3177132680959623, and quantile values: 0.25 -0.305585\n0.50 0.317713\n0.75 0.842132\nName: 11417, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2273991531621209, std values: 0.7628313142080677, min values: -2.1458731235133714, max values: 5.0, median values: 0.2103439274944538, and quantile values: 0.25 -0.245024\n0.50 0.210344\n0.75 0.699070\nName: 11418, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5895199860486167, std values: 1.011105044098314, min values: -1.9423194494824505, max values: 6.0, median values: 0.3977192058173106, and quantile values: 0.25 -0.089363\n0.50 0.397719\n0.75 1.241459\nName: 11419, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1328380486785469, std values: 0.7955207981085224, min values: -2.3808324358856225, max values: 3.867701659180865, median values: -0.1266884447818684, and quantile values: 0.25 -0.728032\n0.50 -0.126688\n0.75 0.441843\nName: 11420, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14628886815307598, std values: 0.84088469028172, min values: -2.0286283897399784, max values: 3.5908526919299577, median values: 0.1090288837349207, and quantile values: 0.25 -0.413327\n0.50 0.109029\n0.75 0.688733\nName: 11421, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3909842984988624, std values: 0.78985455539031, min values: -2.838932175687192, max values: 4.0, median values: 0.4671274424456185, and quantile values: 0.25 -0.097101\n0.50 0.467127\n0.75 0.928831\nName: 11422, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1790220227954231, std values: 1.0402301907330698, min values: -2.5682675825126706, max values: 5.0, median values: 0.1390521733308342, and quantile values: 0.25 -0.596036\n0.50 0.139052\n0.75 0.860052\nName: 11423, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.052983571865798926, std values: 0.7930467345310505, min values: -2.476285024008804, max values: 3.096891534584617, median values: -0.0881051136789925, and quantile values: 0.25 -0.619452\n0.50 -0.088105\n0.75 0.466106\nName: 11424, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5956394186871519, std values: 0.9665118840122966, min values: -2.5953860446419177, max values: 3.0, median values: -0.6685821026614029, and quantile values: 0.25 -1.331879\n0.50 -0.668582\n0.75 0.070418\nName: 11425, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01977418930088705, std values: 0.8661588394334057, min values: -2.825926939679757, max values: 3.216771431244405, median values: -0.0378480502655453, and quantile values: 0.25 -0.510657\n0.50 -0.037848\n0.75 0.540203\nName: 11426, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.152446665590245, std values: 0.7997244742159318, min values: -2.0545210191658487, max values: 6.0, median values: -0.1116002059723675, and quantile values: 0.25 -0.754847\n0.50 -0.111600\n0.75 0.445095\nName: 11427, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21866994739451864, std values: 0.9305730116558365, min values: -2.981718296512785, max values: 5.0, median values: 0.1437809093472617, and quantile values: 0.25 -0.458164\n0.50 0.143781\n0.75 0.877689\nName: 11428, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41235395143085113, std values: 0.874910981445805, min values: -2.5445249319512966, max values: 3.103622965243153, median values: -0.4361447474677751, and quantile values: 0.25 -1.067994\n0.50 -0.436145\n0.75 0.147037\nName: 11429, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03554117938200761, std values: 0.8718800076759735, min values: -2.62876542141649, max values: 3.2696814875916886, median values: -0.0276795388013902, and quantile values: 0.25 -0.581085\n0.50 -0.027680\n0.75 0.614355\nName: 11430, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5567605748980291, std values: 0.991478860142247, min values: -2.6320986139293034, max values: 3.670892362631932, median values: -0.5622264145533917, and quantile values: 0.25 -1.223624\n0.50 -0.562226\n0.75 0.046198\nName: 11431, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25223730515094145, std values: 1.0103766544831316, min values: -2.783691185534105, max values: 3.155379154255993, median values: -0.4098798474614024, and quantile values: 0.25 -0.999363\n0.50 -0.409880\n0.75 0.379661\nName: 11432, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1040592116569704, std values: 1.2310391843572475, min values: -2.7211321814067784, max values: 4.278004674434932, median values: 0.0857327179833914, and quantile values: 0.25 -0.722969\n0.50 0.085733\n0.75 0.967095\nName: 11433, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2676033589701079, std values: 0.8238897211335514, min values: -1.9001308314770808, max values: 6.0, median values: 0.1920221822687329, and quantile values: 0.25 -0.307637\n0.50 0.192022\n0.75 0.812034\nName: 11434, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0719658412109759, std values: 0.9625619800644265, min values: -2.673549169958716, max values: 6.0, median values: 0.0832372035343929, and quantile values: 0.25 -0.496199\n0.50 0.083237\n0.75 0.667385\nName: 11435, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11173045117749487, std values: 0.7734286932943942, min values: -1.947288784346615, max values: 4.0, median values: 0.1156884614895348, and quantile values: 0.25 -0.376738\n0.50 0.115688\n0.75 0.586848\nName: 11436, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.004099773072113259, std values: 0.7755356318128683, min values: -2.7314147016889114, max values: 3.434669824302974, median values: -0.0346551189657495, and quantile values: 0.25 -0.501845\n0.50 -0.034655\n0.75 0.446220\nName: 11437, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6792155925469593, std values: 1.6540839890654109, min values: -2.9622221028070275, max values: 4.0, median values: -0.9420460236916663, and quantile values: 0.25 -2.136065\n0.50 -0.942046\n0.75 0.679617\nName: 11438, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24752287787590624, std values: 0.8369423480928921, min values: -2.4823451998031074, max values: 3.569037956734876, median values: -0.2882873555220541, and quantile values: 0.25 -0.773364\n0.50 -0.288287\n0.75 0.233631\nName: 11439, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7981549994443302, std values: 1.405903388863591, min values: -2.944950884974346, max values: 3.9048392686725855, median values: -1.086700718999559, and quantile values: 0.25 -1.887310\n0.50 -1.086701\n0.75 -0.043974\nName: 11440, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02906674970920923, std values: 0.8380616142069087, min values: -2.264034258932616, max values: 3.2266531185902125, median values: -0.1546972642841866, and quantile values: 0.25 -0.625804\n0.50 -0.154697\n0.75 0.522095\nName: 11441, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33140331946143387, std values: 0.9083160338834809, min values: -2.5825978442440407, max values: 6.0, median values: -0.4439698510556426, and quantile values: 0.25 -1.036017\n0.50 -0.443970\n0.75 0.261574\nName: 11442, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.035137605717044385, std values: 0.8733361652453795, min values: -2.860922438481449, max values: 3.784832159836258, median values: -0.0603045173759081, and quantile values: 0.25 -0.605929\n0.50 -0.060305\n0.75 0.539987\nName: 11443, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12517567871698243, std values: 0.9971092498387436, min values: -2.679056533720636, max values: 5.0, median values: 0.1794221817578228, and quantile values: 0.25 -0.424963\n0.50 0.179422\n0.75 0.789203\nName: 11444, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36976076850494205, std values: 0.9621262303132249, min values: -2.87684958111886, max values: 3.379902545505621, median values: 0.5179680415106738, and quantile values: 0.25 -0.299387\n0.50 0.517968\n0.75 1.110006\nName: 11445, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21265299989702527, std values: 0.9437588320626558, min values: -2.955641696055872, max values: 2.894191510795044, median values: -0.1755798437716513, and quantile values: 0.25 -0.871936\n0.50 -0.175580\n0.75 0.427134\nName: 11446, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34649096447065314, std values: 0.8874577738941324, min values: -2.5820330744015787, max values: 4.0, median values: -0.4449472962600519, and quantile values: 0.25 -0.999083\n0.50 -0.444947\n0.75 0.218986\nName: 11447, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5319807230958528, std values: 0.8496278344186095, min values: -2.4540853055744134, max values: 3.32433157891547, median values: 0.5829042507068048, and quantile values: 0.25 -0.020408\n0.50 0.582904\n0.75 1.089777\nName: 11448, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2872512880882483, std values: 0.9342319181819226, min values: -2.5624611946462936, max values: 5.0, median values: -0.3605231614358145, and quantile values: 0.25 -0.912940\n0.50 -0.360523\n0.75 0.283869\nName: 11449, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20881388712541765, std values: 0.8658298654750985, min values: -2.730840794324401, max values: 3.630507857092792, median values: -0.262514728206445, and quantile values: 0.25 -0.822815\n0.50 -0.262515\n0.75 0.350176\nName: 11450, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3552132993942698, std values: 0.7687489129580151, min values: -2.745904427753044, max values: 5.0, median values: -0.4707478423830485, and quantile values: 0.25 -0.903894\n0.50 -0.470748\n0.75 0.122192\nName: 11451, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.005815286816227703, std values: 1.0072690073701809, min values: -2.960014365184806, max values: 6.0, median values: -0.0260954543432075, and quantile values: 0.25 -0.760829\n0.50 -0.026095\n0.75 0.667591\nName: 11452, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20294297323954788, std values: 0.867541193190679, min values: -3.0390690173369013, max values: 3.3337116327022187, median values: -0.2424703447574178, and quantile values: 0.25 -0.760278\n0.50 -0.242470\n0.75 0.362491\nName: 11453, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08656018950425076, std values: 0.937448770194186, min values: -1.9251718191674347, max values: 3.124705982383484, median values: 0.0558063838038916, and quantile values: 0.25 -0.710259\n0.50 0.055806\n0.75 0.773460\nName: 11454, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34926904526974706, std values: 0.8773885962950068, min values: -2.0972650777209885, max values: 3.760287110694155, median values: 0.3301777526710148, and quantile values: 0.25 -0.237033\n0.50 0.330178\n0.75 0.930909\nName: 11455, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.008740696484997876, std values: 0.7490830404571913, min values: -1.9570585542689607, max values: 3.1290445144064547, median values: -0.0599256813967681, and quantile values: 0.25 -0.484212\n0.50 -0.059926\n0.75 0.423159\nName: 11456, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.023503372738518432, std values: 0.8577473641892458, min values: -2.5563022890751474, max values: 4.0, median values: 0.077409337952127, and quantile values: 0.25 -0.611920\n0.50 0.077409\n0.75 0.665158\nName: 11457, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05761171618220358, std values: 0.8910663260556746, min values: -2.732564679617164, max values: 3.5908526919299577, median values: -0.0284124966642103, and quantile values: 0.25 -0.569110\n0.50 -0.028412\n0.75 0.622491\nName: 11458, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11000882239542878, std values: 0.8320349845494727, min values: -2.196181211030292, max values: 3.197902420311553, median values: -0.2229746161250114, and quantile values: 0.25 -0.742433\n0.50 -0.222975\n0.75 0.472755\nName: 11459, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34269982420106915, std values: 0.8167865799011199, min values: -2.2398683045325223, max values: 3.155379154255993, median values: -0.3630969494010514, and quantile values: 0.25 -0.938710\n0.50 -0.363097\n0.75 0.137745\nName: 11460, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.011644581281558436, std values: 0.8794343678838753, min values: -2.041957069977206, max values: 4.0, median values: -0.0784761261931118, and quantile values: 0.25 -0.701603\n0.50 -0.078476\n0.75 0.586886\nName: 11461, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4059034294515523, std values: 0.8172981601014805, min values: -2.4737574649270093, max values: 3.362228250221886, median values: -0.5076708809495006, and quantile values: 0.25 -1.031498\n0.50 -0.507671\n0.75 0.137441\nName: 11462, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35443546646202706, std values: 1.1143474827146427, min values: -2.6072570508709387, max values: 4.0, median values: -0.1534989299274961, and quantile values: 0.25 -1.061205\n0.50 -0.153499\n0.75 0.402851\nName: 11463, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36242753092982927, std values: 0.9130053837576455, min values: -2.045067891820054, max values: 3.9905524164385566, median values: 0.3538726198264227, and quantile values: 0.25 -0.222110\n0.50 0.353873\n0.75 0.875745\nName: 11464, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08602296835313816, std values: 0.8957652604444876, min values: -2.510124273981921, max values: 3.162318759909359, median values: -0.1544727653799304, and quantile values: 0.25 -0.630898\n0.50 -0.154473\n0.75 0.461851\nName: 11465, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2989446320130802, std values: 0.9592792537338368, min values: -2.93129584560762, max values: 6.0, median values: 0.4268062538031182, and quantile values: 0.25 -0.202945\n0.50 0.426806\n0.75 0.889363\nName: 11466, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3533971203228068, std values: 1.0108859886459527, min values: -2.1447730697608054, max values: 5.0, median values: -0.4900414156447404, and quantile values: 0.25 -1.168607\n0.50 -0.490041\n0.75 0.273734\nName: 11467, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14689137190494161, std values: 0.918280482543035, min values: -2.623568901859613, max values: 4.0, median values: -0.0803965709300418, and quantile values: 0.25 -0.668021\n0.50 -0.080397\n0.75 0.436112\nName: 11468, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3423291033023014, std values: 0.9814556963448676, min values: -2.9109251266226006, max values: 3.477886732511886, median values: -0.5130899858560979, and quantile values: 0.25 -1.093336\n0.50 -0.513090\n0.75 0.306299\nName: 11469, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7203594183879805, std values: 0.9903144609942998, min values: -2.1525285902534432, max values: 3.3483277116524426, median values: 0.7832508932164537, and quantile values: 0.25 0.001377\n0.50 0.783251\n0.75 1.455456\nName: 11470, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26972736063576475, std values: 0.9556669123700509, min values: -2.608390851963037, max values: 5.0, median values: -0.2192523859216892, and quantile values: 0.25 -0.784549\n0.50 -0.219252\n0.75 0.325528\nName: 11471, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37908523696805196, std values: 0.9809873402682726, min values: -2.662750916816848, max values: 5.0, median values: 0.4169589745783861, and quantile values: 0.25 -0.215668\n0.50 0.416959\n0.75 1.040230\nName: 11472, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6071344233644811, std values: 0.8407219867401431, min values: -2.5743883495350026, max values: 5.0, median values: -0.7084883300513597, and quantile values: 0.25 -1.208936\n0.50 -0.708488\n0.75 -0.103182\nName: 11473, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44604828285360104, std values: 1.0958202421538445, min values: -2.9472833478224456, max values: 6.0, median values: 0.5823389609805503, and quantile values: 0.25 -0.251107\n0.50 0.582339\n0.75 1.294110\nName: 11474, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2411470622838864, std values: 1.1756087209614792, min values: -3.0148736195915964, max values: 3.0418703198091483, median values: -0.139182608025267, and quantile values: 0.25 -0.988788\n0.50 -0.139183\n0.75 0.628045\nName: 11475, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14238727849115762, std values: 0.8423704487781194, min values: -2.0080690565656645, max values: 3.155379154255993, median values: -0.2203177268126444, and quantile values: 0.25 -0.736627\n0.50 -0.220318\n0.75 0.392797\nName: 11476, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.004588129664941308, std values: 1.041191623506001, min values: -2.642042398333877, max values: 3.867701659180865, median values: 0.0330706988368834, and quantile values: 0.25 -0.721425\n0.50 0.033071\n0.75 0.702030\nName: 11477, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.011125111086447587, std values: 0.9800746249604492, min values: -2.634919142586459, max values: 6.0, median values: 0.0114290637319937, and quantile values: 0.25 -0.647656\n0.50 0.011429\n0.75 0.674950\nName: 11478, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2575273292943574, std values: 0.7505690530628591, min values: -1.960682397990832, max values: 3.132053530264631, median values: 0.3079228110141838, and quantile values: 0.25 -0.245891\n0.50 0.307923\n0.75 0.786081\nName: 11479, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2552759117966035, std values: 0.8218022442623312, min values: -2.4138763825366425, max values: 3.630507857092792, median values: 0.29958815468766, and quantile values: 0.25 -0.346460\n0.50 0.299588\n0.75 0.874358\nName: 11480, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2644310260077793, std values: 1.0016859467683563, min values: -2.643887016977268, max values: 6.0, median values: 0.3552568494403892, and quantile values: 0.25 -0.395633\n0.50 0.355257\n0.75 1.011407\nName: 11481, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8698391132745076, std values: 0.9837175327482657, min values: -2.541693081833126, max values: 3.8226908388056136, median values: 1.053104945870201, and quantile values: 0.25 0.194502\n0.50 1.053105\n0.75 1.618278\nName: 11482, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23739042359028845, std values: 0.8453243409230304, min values: -2.556631690482005, max values: 3.0362913622068968, median values: 0.2911252686688965, and quantile values: 0.25 -0.360775\n0.50 0.291125\n0.75 0.893008\nName: 11483, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6804637496149883, std values: 0.941393085080019, min values: -1.9360016274207128, max values: 4.026668017837955, median values: 0.7061541380572809, and quantile values: 0.25 0.033544\n0.50 0.706154\n0.75 1.246833\nName: 11484, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03152593048321415, std values: 1.1940701057741872, min values: -2.9029979285382743, max values: 3.0, median values: 0.1244489069313543, and quantile values: 0.25 -0.801497\n0.50 0.124449\n0.75 0.927486\nName: 11485, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.014735100273883502, std values: 1.0660572868935103, min values: -2.891990595045606, max values: 6.0, median values: 0.0604465830964861, and quantile values: 0.25 -0.631763\n0.50 0.060447\n0.75 0.701497\nName: 11486, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11695108800429604, std values: 0.8937017712547052, min values: -2.536941606705235, max values: 4.0, median values: 0.0370488499682152, and quantile values: 0.25 -0.469375\n0.50 0.037049\n0.75 0.664657\nName: 11487, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.00928167472393765, std values: 0.7466582476030957, min values: -2.082109659827605, max values: 3.569037956734876, median values: 0.0191960800625936, and quantile values: 0.25 -0.472518\n0.50 0.019196\n0.75 0.440811\nName: 11488, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0881679046075763, std values: 0.8275280799933726, min values: -2.620939317041317, max values: 4.0, median values: 0.1350490909353608, and quantile values: 0.25 -0.519320\n0.50 0.135049\n0.75 0.724525\nName: 11489, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23321966627458318, std values: 1.1692285012602779, min values: -3.242093130849769, max values: 3.169414082461771, median values: -0.0088394197806981, and quantile values: 0.25 -1.038121\n0.50 -0.008839\n0.75 0.624394\nName: 11490, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04055869635305652, std values: 0.8399069625157052, min values: -2.739804196611005, max values: 6.0, median values: 0.0092648582944087, and quantile values: 0.25 -0.562050\n0.50 0.009265\n0.75 0.479055\nName: 11491, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1900383832925548, std values: 1.0223195837250967, min values: -2.607565022042742, max values: 4.0, median values: 0.0172404640110574, and quantile values: 0.25 -0.799185\n0.50 0.017240\n0.75 0.534952\nName: 11492, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.615692343718152, std values: 1.4161776400732613, min values: -2.944950884974346, max values: 3.721862465295849, median values: -2.1371444472445806, and quantile values: 0.25 -2.473447\n0.50 -2.137144\n0.75 -1.769747\nName: 11493, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10301119206089587, std values: 1.0729523870116795, min values: -2.799990485600992, max values: 5.0, median values: -0.1893006648794279, and quantile values: 0.25 -1.015319\n0.50 -0.189301\n0.75 0.671096\nName: 11494, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34074586542147517, std values: 0.8332127795853407, min values: -2.825926939679757, max values: 3.060952636712705, median values: -0.3230609435651577, and quantile values: 0.25 -0.824323\n0.50 -0.323061\n0.75 0.169570\nName: 11495, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20722220278544512, std values: 0.9266630309679857, min values: -2.960014365184806, max values: 6.0, median values: 0.1861753828098303, and quantile values: 0.25 -0.356843\n0.50 0.186175\n0.75 0.811050\nName: 11496, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17099813130612093, std values: 0.7981172105042683, min values: -2.095529726150577, max values: 2.9804248838044773, median values: -0.1800003744575609, and quantile values: 0.25 -0.716986\n0.50 -0.180000\n0.75 0.309367\nName: 11497, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3283952252894807, std values: 0.8894197970408132, min values: -2.9029979285382743, max values: 6.0, median values: -0.318508823858821, and quantile values: 0.25 -0.923628\n0.50 -0.318509\n0.75 0.251698\nName: 11498, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2005659067344865, std values: 0.9170350138925963, min values: -1.98823486208941, max values: 6.0, median values: -0.3252543319431891, and quantile values: 0.25 -0.914986\n0.50 -0.325254\n0.75 0.423960\nName: 11499, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7335274212135888, std values: 0.9170252106292833, min values: -2.8451834694312192, max values: 3.169414082461771, median values: -0.8850073426288735, and quantile values: 0.25 -1.474673\n0.50 -0.885007\n0.75 -0.168397\nName: 11500, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39301163325149474, std values: 0.8480772348325868, min values: -2.605844844843939, max values: 4.0, median values: -0.4083935310616085, and quantile values: 0.25 -0.916731\n0.50 -0.408394\n0.75 0.116978\nName: 11501, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2877136501188932, std values: 0.8750334752494456, min values: -2.9898739724800576, max values: 3.405671179043623, median values: 0.3096198947355918, and quantile values: 0.25 -0.294159\n0.50 0.309620\n0.75 0.851710\nName: 11502, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.54682520329335, std values: 0.8196946689522441, min values: -2.64479559868397, max values: 6.0, median values: -0.5973349015659423, and quantile values: 0.25 -1.158923\n0.50 -0.597335\n0.75 -0.045042\nName: 11503, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4509577769364991, std values: 0.965675922199134, min values: -3.0133870328644434, max values: 3.784832159836258, median values: 0.6194325448022389, and quantile values: 0.25 -0.134716\n0.50 0.619433\n0.75 1.127396\nName: 11504, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11004129500051606, std values: 1.1786478053142497, min values: -2.8680719719444903, max values: 4.243835016543704, median values: 0.3123733108083159, and quantile values: 0.25 -0.702977\n0.50 0.312373\n0.75 0.968227\nName: 11505, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21176018401105123, std values: 0.9302210719552031, min values: -2.5156802245814003, max values: 4.0, median values: 0.2026074315946052, and quantile values: 0.25 -0.353154\n0.50 0.202607\n0.75 0.798112\nName: 11506, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03861573482834118, std values: 1.1822672047248408, min values: -3.24173864501462, max values: 3.9905524164385566, median values: 0.0657285582196626, and quantile values: 0.25 -0.851038\n0.50 0.065729\n0.75 0.852463\nName: 11507, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04880588043013098, std values: 0.9071960923741911, min values: -2.8246479422601736, max values: 6.0, median values: 0.1306593061088264, and quantile values: 0.25 -0.532020\n0.50 0.130659\n0.75 0.685016\nName: 11508, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13832112764371374, std values: 0.7884716076378359, min values: -2.042843860363569, max values: 3.0148736195915853, median values: 0.1705424795848046, and quantile values: 0.25 -0.400373\n0.50 0.170542\n0.75 0.655634\nName: 11509, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2326040626922635, std values: 0.9502950939263469, min values: -2.6820581866633817, max values: 3.784832159836258, median values: -0.3818820024923142, and quantile values: 0.25 -0.973718\n0.50 -0.381882\n0.75 0.383979\nName: 11510, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6437510660101208, std values: 0.9885030919143089, min values: -1.917844427564773, max values: 3.415255285860171, median values: 0.6832240266699421, and quantile values: 0.25 -0.093445\n0.50 0.683224\n0.75 1.456957\nName: 11511, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22648360916900778, std values: 0.9057994756385509, min values: -2.4536054974529624, max values: 6.0, median values: -0.3011727146678984, and quantile values: 0.25 -0.967378\n0.50 -0.301173\n0.75 0.381823\nName: 11512, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04855640756541838, std values: 1.046102072570705, min values: -2.486556664247513, max values: 3.141939528112806, median values: 0.1184965182309756, and quantile values: 0.25 -0.712174\n0.50 0.118497\n0.75 0.844175\nName: 11513, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18134894218756972, std values: 0.7640660354286003, min values: -2.3219763062756256, max values: 6.0, median values: -0.2201240370397027, and quantile values: 0.25 -0.658186\n0.50 -0.220124\n0.75 0.251840\nName: 11514, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.034309623557760884, std values: 0.7423126681562138, min values: -2.299460330888208, max values: 4.0, median values: -0.0638565330309197, and quantile values: 0.25 -0.539140\n0.50 -0.063857\n0.75 0.430874\nName: 11515, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3132794382447724, std values: 0.8862328378583264, min values: -2.622408470084112, max values: 3.0, median values: -0.3588842485231042, and quantile values: 0.25 -0.940466\n0.50 -0.358884\n0.75 0.298382\nName: 11516, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04436218288869645, std values: 0.8668822798154375, min values: -1.989601414953614, max values: 5.0, median values: 0.0411829451041977, and quantile values: 0.25 -0.627527\n0.50 0.041183\n0.75 0.686571\nName: 11517, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.010437720731145536, std values: 0.8841173164251469, min values: -2.5624611946462936, max values: 5.0, median values: -0.0304695902404883, and quantile values: 0.25 -0.563268\n0.50 -0.030470\n0.75 0.553571\nName: 11518, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3471050854425555, std values: 0.811756969666035, min values: -2.6278943940336483, max values: 4.0, median values: -0.4340232073008928, and quantile values: 0.25 -0.936445\n0.50 -0.434023\n0.75 0.169933\nName: 11519, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23747624025252112, std values: 0.9829793420834695, min values: -2.842989614395848, max values: 5.0, median values: 0.3229875995564212, and quantile values: 0.25 -0.447346\n0.50 0.322988\n0.75 0.968756\nName: 11520, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4569012834092541, std values: 0.8875723984977842, min values: -2.245752867605861, max values: 3.0089865423056903, median values: 0.5164856321014661, and quantile values: 0.25 -0.217389\n0.50 0.516486\n0.75 1.127202\nName: 11521, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1779438427187676, std values: 1.2120127284324214, min values: -2.6270253558526173, max values: 4.0, median values: -0.2675919816772781, and quantile values: 0.25 -1.060675\n0.50 -0.267592\n0.75 0.650690\nName: 11522, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5728457594804394, std values: 1.0159398181350991, min values: -2.7884838087481176, max values: 6.0, median values: 0.6456571324951518, and quantile values: 0.25 -0.146393\n0.50 0.645657\n0.75 1.385654\nName: 11523, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16774326381954896, std values: 0.8678425430543979, min values: -2.104667097879677, max values: 6.0, median values: -0.2479133187512124, and quantile values: 0.25 -0.760898\n0.50 -0.247913\n0.75 0.330585\nName: 11524, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42648804767031195, std values: 0.7268700383056639, min values: -1.7935523488797975, max values: 6.0, median values: 0.4858226037602849, and quantile values: 0.25 -0.038702\n0.50 0.485823\n0.75 0.918577\nName: 11525, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09648661038363672, std values: 0.7884788319289909, min values: -2.2326669720655525, max values: 4.0, median values: -0.1407339711015639, and quantile values: 0.25 -0.621054\n0.50 -0.140734\n0.75 0.408203\nName: 11526, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08216786605429027, std values: 0.8168598455557052, min values: -2.556631690482005, max values: 3.215720519334646, median values: 0.154568438785646, and quantile values: 0.25 -0.500658\n0.50 0.154568\n0.75 0.650311\nName: 11527, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.004035197990448596, std values: 1.1248514874203779, min values: -2.9622221028070275, max values: 4.0, median values: 0.1910111605765716, and quantile values: 0.25 -0.589205\n0.50 0.191011\n0.75 0.778378\nName: 11528, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10003573727422693, std values: 0.8199778660429226, min values: -2.687115288423959, max values: 5.0, median values: 0.1273552612300136, and quantile values: 0.25 -0.459634\n0.50 0.127355\n0.75 0.629918\nName: 11529, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09080228465914707, std values: 1.0080253400699555, min values: -2.7884838087481176, max values: 6.0, median values: -0.1143994925548773, and quantile values: 0.25 -0.885933\n0.50 -0.114399\n0.75 0.568139\nName: 11530, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15885010212973644, std values: 0.8379401037658669, min values: -2.542889966859849, max values: 6.0, median values: -0.2128504154987978, and quantile values: 0.25 -0.717048\n0.50 -0.212850\n0.75 0.365749\nName: 11531, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4416994589730054, std values: 1.0510038752564819, min values: -2.3922473154067863, max values: 5.0, median values: -0.6180514571253632, and quantile values: 0.25 -1.300627\n0.50 -0.618051\n0.75 0.225721\nName: 11532, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43263038561266404, std values: 1.011244772833377, min values: -2.5743883495350026, max values: 5.0, median values: 0.5301601772671161, and quantile values: 0.25 -0.147371\n0.50 0.530160\n0.75 1.138133\nName: 11533, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05380769930201599, std values: 0.915677097330198, min values: -2.510124273981921, max values: 3.0838352979250487, median values: 0.1804762092996927, and quantile values: 0.25 -0.511465\n0.50 0.180476\n0.75 0.672141\nName: 11534, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.733424456950831, std values: 0.864226407869359, min values: -2.4540853055744134, max values: 3.5021977227593246, median values: 0.7990226436954648, and quantile values: 0.25 0.141972\n0.50 0.799023\n0.75 1.389491\nName: 11535, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05055516031512936, std values: 1.464115523974269, min values: -3.0960472541202715, max values: 6.0, median values: -0.18742600783976, and quantile values: 0.25 -1.037838\n0.50 -0.187426\n0.75 0.831714\nName: 11536, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.54154120404456, std values: 0.8120758386080796, min values: -2.0818418477937786, max values: 3.1888787873512885, median values: -0.695332710149305, and quantile values: 0.25 -1.167844\n0.50 -0.695333\n0.75 -0.012916\nName: 11537, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31258043340764613, std values: 0.9266063310983228, min values: -2.094787931821739, max values: 3.2936960268109283, median values: -0.4601597312489249, and quantile values: 0.25 -1.029485\n0.50 -0.460160\n0.75 0.287197\nName: 11538, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27584194679712476, std values: 1.1234471918658042, min values: -2.841647375415054, max values: 3.197902420311553, median values: -0.4621048813331277, and quantile values: 0.25 -1.088537\n0.50 -0.462105\n0.75 0.349046\nName: 11539, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2138671039921747, std values: 0.7919580608734169, min values: -2.580492024304656, max values: 3.670892362631932, median values: 0.3073395626965246, and quantile values: 0.25 -0.315551\n0.50 0.307340\n0.75 0.752945\nName: 11540, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6332614013559914, std values: 0.9624924191757005, min values: -2.7648443048846945, max values: 3.518664430018096, median values: 0.7281645651487597, and quantile values: 0.25 -0.060991\n0.50 0.728165\n0.75 1.387879\nName: 11541, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11943016199279102, std values: 0.8298217561094293, min values: -2.6850842010492566, max values: 6.0, median values: 0.1393858632484763, and quantile values: 0.25 -0.428464\n0.50 0.139386\n0.75 0.630379\nName: 11542, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16122530623020245, std values: 0.8662457458093725, min values: -2.5689076212724418, max values: 5.0, median values: 0.0838114317429629, and quantile values: 0.25 -0.472478\n0.50 0.083811\n0.75 0.765389\nName: 11543, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24762743456522307, std values: 0.755397858217612, min values: -1.8531972060435096, max values: 4.0, median values: 0.1946951161214874, and quantile values: 0.25 -0.216627\n0.50 0.194695\n0.75 0.693468\nName: 11544, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4714857758404706, std values: 0.9250883527439742, min values: -1.8778308630173928, max values: 5.0, median values: 0.5100765935005677, and quantile values: 0.25 -0.210014\n0.50 0.510077\n0.75 1.184655\nName: 11545, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4763135118732703, std values: 0.9092432752645757, min values: -2.264034258932616, max values: 3.667275230673496, median values: 0.4823445798526828, and quantile values: 0.25 -0.103182\n0.50 0.482345\n0.75 1.076815\nName: 11546, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05568011331242248, std values: 0.7864242624147542, min values: -2.4564928597243227, max values: 4.0, median values: 0.0281764450853361, and quantile values: 0.25 -0.434538\n0.50 0.028176\n0.75 0.500096\nName: 11547, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32038840191073276, std values: 0.9339540658453045, min values: -2.469941537133514, max values: 4.0, median values: -0.3523337198394192, and quantile values: 0.25 -1.054546\n0.50 -0.352334\n0.75 0.349699\nName: 11548, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6643677185289804, std values: 0.8603510192295817, min values: -2.267175988438518, max values: 5.0, median values: 0.7553537226820989, and quantile values: 0.25 0.145868\n0.50 0.755354\n0.75 1.264461\nName: 11549, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15868248207035698, std values: 0.872008964514279, min values: -2.6899145007874274, max values: 3.477886732511886, median values: -0.2098927977332976, and quantile values: 0.25 -0.685494\n0.50 -0.209893\n0.75 0.352414\nName: 11550, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04936708728537839, std values: 0.8009765740927026, min values: -2.133376301904917, max values: 3.0651860794139534, median values: -0.024369585977656, and quantile values: 0.25 -0.549198\n0.50 -0.024370\n0.75 0.607479\nName: 11551, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3958843148469424, std values: 0.8512716200396901, min values: -1.972118756853548, max values: 3.155170554159904, median values: 0.3739993025314408, and quantile values: 0.25 -0.143957\n0.50 0.373999\n0.75 0.901420\nName: 11552, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4647162578993779, std values: 0.8230925821007935, min values: -2.469941537133514, max values: 4.0, median values: 0.4171993095339796, and quantile values: 0.25 -0.037186\n0.50 0.417199\n0.75 1.006277\nName: 11553, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5152899230277656, std values: 0.8188017561754194, min values: -2.5501488616953263, max values: 3.025409039429847, median values: 0.6137569313327769, and quantile values: 0.25 -0.009336\n0.50 0.613757\n0.75 1.107583\nName: 11554, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20251807297759022, std values: 0.8559615661309763, min values: -2.5156802245814003, max values: 4.0, median values: 0.3364132737985384, and quantile values: 0.25 -0.347213\n0.50 0.336413\n0.75 0.769831\nName: 11555, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5381465892337175, std values: 1.0235313930838468, min values: -3.0148736195915964, max values: 3.379902545505621, median values: -0.5531857352184476, and quantile values: 0.25 -1.089536\n0.50 -0.553186\n0.75 0.102515\nName: 11556, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04652893799383447, std values: 0.8519442990175446, min values: -2.730840794324401, max values: 3.312693232344632, median values: -0.0942688077767435, and quantile values: 0.25 -0.553828\n0.50 -0.094269\n0.75 0.481230\nName: 11557, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5593411917357306, std values: 1.0059891418508216, min values: -2.4705236352348297, max values: 3.5908526919299577, median values: 0.6201485258448194, and quantile values: 0.25 -0.200793\n0.50 0.620149\n0.75 1.342367\nName: 11558, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.244291096246565, std values: 1.1005092557802607, min values: -2.623568901859613, max values: 4.0, median values: 0.3127198439508739, and quantile values: 0.25 -0.366788\n0.50 0.312720\n0.75 0.971034\nName: 11559, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0822751284347032, std values: 1.2496069849687228, min values: -2.727901130262228, max values: 4.0, median values: -1.6924813923394355, and quantile values: 0.25 -2.140874\n0.50 -1.692481\n0.75 0.047192\nName: 11560, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05806916521962046, std values: 0.9977771966054715, min values: -2.93129584560762, max values: 6.0, median values: 0.003308836662943, and quantile values: 0.25 -0.594907\n0.50 0.003309\n0.75 0.551486\nName: 11561, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6610610983732801, std values: 1.0326275760547843, min values: -2.1227739687253626, max values: 3.670892362631932, median values: 0.7052086766839477, and quantile values: 0.25 -0.092685\n0.50 0.705209\n0.75 1.483146\nName: 11562, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10873727742707208, std values: 0.8712081465496206, min values: -2.928515832252388, max values: 5.0, median values: 0.0893864127193816, and quantile values: 0.25 -0.376378\n0.50 0.089386\n0.75 0.649835\nName: 11563, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.537008850731945, std values: 0.9897292567253932, min values: -2.769191083399913, max values: 3.0, median values: -0.4528923830582358, and quantile values: 0.25 -1.145798\n0.50 -0.452892\n0.75 0.154736\nName: 11564, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2846612515659453, std values: 0.930714070724814, min values: -2.197500965137508, max values: 2.853157294082051, median values: -0.3563899073513967, and quantile values: 0.25 -1.054711\n0.50 -0.356390\n0.75 0.369036\nName: 11565, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1933907446121302, std values: 0.7869345875654401, min values: -2.0730520506365586, max values: 5.0, median values: 0.2434063599118066, and quantile values: 0.25 -0.323728\n0.50 0.243406\n0.75 0.701063\nName: 11566, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08123823431555599, std values: 1.0528053042944094, min values: -2.5501488616953263, max values: 3.258347009006034, median values: -0.2139293867610123, and quantile values: 0.25 -0.864605\n0.50 -0.213929\n0.75 0.517808\nName: 11567, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28506171328258095, std values: 1.059618402725982, min values: -2.93129584560762, max values: 6.0, median values: -0.1568171731016042, and quantile values: 0.25 -0.926759\n0.50 -0.156817\n0.75 0.431150\nName: 11568, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1769038868115796, std values: 0.9314623313173207, min values: -2.579723791499676, max values: 4.0, median values: 0.1380789993638372, and quantile values: 0.25 -0.465316\n0.50 0.138079\n0.75 0.761528\nName: 11569, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17604723397666353, std values: 1.1241003585919063, min values: -2.778044916685896, max values: 3.2906806286429298, median values: 0.3574478410018926, and quantile values: 0.25 -0.450605\n0.50 0.357448\n0.75 1.022306\nName: 11570, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5695718215910474, std values: 0.9378012306948685, min values: -2.607565022042742, max values: 4.0, median values: -0.7632225265667785, and quantile values: 0.25 -1.299531\n0.50 -0.763223\n0.75 -0.027088\nName: 11571, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28065292567577577, std values: 0.9677781705277344, min values: -2.622709665346679, max values: 3.0, median values: -0.2028323198794965, and quantile values: 0.25 -1.013614\n0.50 -0.202832\n0.75 0.442299\nName: 11572, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04932239050720576, std values: 1.0900058916320483, min values: -2.0210150587876674, max values: 3.9048392686725855, median values: -0.0495083629432023, and quantile values: 0.25 -0.823666\n0.50 -0.049508\n0.75 0.794176\nName: 11573, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5267905147369476, std values: 0.8003825833818607, min values: -2.8889090019311845, max values: 5.0, median values: 0.5045815124325418, and quantile values: 0.25 0.000578\n0.50 0.504582\n0.75 1.050675\nName: 11574, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5255852831261818, std values: 1.1437179392745869, min values: -2.8998169811239416, max values: 3.496479817235339, median values: 0.5386204317771762, and quantile values: 0.25 -0.258187\n0.50 0.538620\n0.75 1.423163\nName: 11575, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10522270351937262, std values: 0.8053328889261702, min values: -2.6117120822772133, max values: 5.0, median values: -0.0405206265363302, and quantile values: 0.25 -0.601295\n0.50 -0.040521\n0.75 0.401749\nName: 11576, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29910273096247886, std values: 0.8721072420921505, min values: -2.0228420875355884, max values: 4.0, median values: -0.3905164532467219, and quantile values: 0.25 -0.989752\n0.50 -0.390516\n0.75 0.319006\nName: 11577, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3132091499757965, std values: 0.9357130088603425, min values: -2.0797094986253195, max values: 4.0, median values: 0.2247997530797072, and quantile values: 0.25 -0.373340\n0.50 0.224800\n0.75 0.975367\nName: 11578, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2733293916429622, std values: 0.9920696743903635, min values: -2.566149343918479, max values: 6.0, median values: 0.2310847577021796, and quantile values: 0.25 -0.513109\n0.50 0.231085\n0.75 1.029812\nName: 11579, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23859861063388144, std values: 0.8616954926224123, min values: -2.693453432157769, max values: 3.630507857092792, median values: -0.2696762148799047, and quantile values: 0.25 -0.819035\n0.50 -0.269676\n0.75 0.239012\nName: 11580, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32131023902679906, std values: 0.77833260214176, min values: -2.2065783767301927, max values: 6.0, median values: 0.384030177773948, and quantile values: 0.25 -0.182800\n0.50 0.384030\n0.75 0.838211\nName: 11581, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3310456323969486, std values: 0.7667124055778878, min values: -2.1136270387555465, max values: 2.824647942260179, median values: 0.3519235098630635, and quantile values: 0.25 -0.175701\n0.50 0.351924\n0.75 0.828353\nName: 11582, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.740238217768174, std values: 1.6054466742269626, min values: -2.944950884974346, max values: 3.9048392686725855, median values: 0.9052942012839807, and quantile values: 0.25 -0.130334\n0.50 0.905294\n0.75 1.931328\nName: 11583, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7616093522220011, std values: 0.7905836778710635, min values: -2.160415784529872, max values: 3.496479817235339, median values: -0.8971197502923112, and quantile values: 0.25 -1.326070\n0.50 -0.897120\n0.75 -0.391706\nName: 11584, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14485672271899666, std values: 0.9784849337096919, min values: -2.043756805381256, max values: 5.0, median values: 0.1106026529597628, and quantile values: 0.25 -0.653263\n0.50 0.110603\n0.75 0.855953\nName: 11585, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12118443409258231, std values: 1.1888888447193178, min values: -3.228456465836797, max values: 3.784832159836258, median values: -0.059996712486117, and quantile values: 0.25 -0.887443\n0.50 -0.059997\n0.75 0.745179\nName: 11586, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21243750604314418, std values: 0.8852476568429759, min values: -2.071166690331113, max values: 3.390469008396469, median values: 0.1119061621197159, and quantile values: 0.25 -0.452972\n0.50 0.111906\n0.75 0.835326\nName: 11587, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.323731237966986, std values: 0.85472750448427, min values: -1.9862942639163563, max values: 3.477886732511886, median values: 0.3619615074254606, and quantile values: 0.25 -0.266406\n0.50 0.361962\n0.75 0.937983\nName: 11588, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3227047300529139, std values: 0.8667753481819598, min values: -2.117042895443173, max values: 5.0, median values: 0.4354155548443266, and quantile values: 0.25 -0.244116\n0.50 0.435416\n0.75 0.935583\nName: 11589, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6388757267910985, std values: 0.9381673763771126, min values: -2.2915911556076085, max values: 3.455472209455805, median values: 0.7177571256792469, and quantile values: 0.25 0.055664\n0.50 0.717757\n0.75 1.234408\nName: 11590, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4600019922761615, std values: 0.9967317853452651, min values: -2.7211321814067784, max values: 4.243835016543704, median values: -0.3980621182205757, and quantile values: 0.25 -1.070489\n0.50 -0.398062\n0.75 0.176925\nName: 11591, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08896504790890299, std values: 0.7951049544424694, min values: -2.5832619696830608, max values: 6.0, median values: -0.1970079642881513, and quantile values: 0.25 -0.660771\n0.50 -0.197008\n0.75 0.436821\nName: 11592, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13363799951625993, std values: 0.7887063907982531, min values: -2.226424194672579, max values: 4.0, median values: 0.1242583633095203, and quantile values: 0.25 -0.369087\n0.50 0.124258\n0.75 0.636097\nName: 11593, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42012682583556005, std values: 0.9242488713853698, min values: -2.102258330765142, max values: 3.379902545505621, median values: -0.5711517066156078, and quantile values: 0.25 -1.129675\n0.50 -0.571152\n0.75 0.180984\nName: 11594, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3332269891608574, std values: 0.8185299674556836, min values: -2.5832619696830608, max values: 6.0, median values: 0.378448047674116, and quantile values: 0.25 -0.231000\n0.50 0.378448\n0.75 0.921182\nName: 11595, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01733409383623219, std values: 0.9300800665134993, min values: -2.406541011733012, max values: 2.6530516057920366, median values: 0.052776704268442, and quantile values: 0.25 -0.665047\n0.50 0.052777\n0.75 0.666009\nName: 11596, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2796645190667632, std values: 1.2035896376250987, min values: -2.869671295224012, max values: 6.0, median values: -0.2741341347336739, and quantile values: 0.25 -1.126059\n0.50 -0.274134\n0.75 0.587420\nName: 11597, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2631066287852451, std values: 0.8923748845366097, min values: -2.156806272086999, max values: 3.405671179043623, median values: 0.1952479311722402, and quantile values: 0.25 -0.389430\n0.50 0.195248\n0.75 0.899181\nName: 11598, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0884695548770663, std values: 1.0165550579247076, min values: -2.580492024304656, max values: 3.670892362631932, median values: -0.0014595841103734, and quantile values: 0.25 -0.652048\n0.50 -0.001460\n0.75 0.738112\nName: 11599, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01311134984098434, std values: 1.0793579769675048, min values: -2.7688682710567485, max values: 3.4566816047670264, median values: -0.0568479530567105, and quantile values: 0.25 -0.726616\n0.50 -0.056848\n0.75 0.768540\nName: 11600, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08263569451815005, std values: 0.7395982102819945, min values: -2.476285024008804, max values: 3.0, median values: 0.0957951521895763, and quantile values: 0.25 -0.400058\n0.50 0.095795\n0.75 0.565261\nName: 11601, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14919333535342225, std values: 0.8343779285733813, min values: -2.048935494746508, max values: 3.5908526919299577, median values: 0.1175207326978923, and quantile values: 0.25 -0.499192\n0.50 0.117521\n0.75 0.686396\nName: 11602, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5156843090806639, std values: 0.804006020428634, min values: -2.0945409229947693, max values: 2.757591239753548, median values: -0.6045827671405419, and quantile values: 0.25 -1.151369\n0.50 -0.604583\n0.75 0.017268\nName: 11603, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04346623025991393, std values: 0.8832226198355203, min values: -2.046854428487538, max values: 2.971794873142076, median values: -0.0180116845873332, and quantile values: 0.25 -0.648151\n0.50 -0.018012\n0.75 0.671795\nName: 11604, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4344601405025544, std values: 0.783752814316531, min values: -2.6685266729136536, max values: 6.0, median values: 0.478312867036554, and quantile values: 0.25 -0.060944\n0.50 0.478313\n0.75 0.941899\nName: 11605, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.054376356224142254, std values: 0.7866492113279604, min values: -1.801159389260465, max values: 3.0046625681201315, median values: -0.154502171504907, and quantile values: 0.25 -0.600728\n0.50 -0.154502\n0.75 0.437203\nName: 11606, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29141537833567427, std values: 0.9241468083766512, min values: -2.4536054974529624, max values: 6.0, median values: 0.2474365067201894, and quantile values: 0.25 -0.364580\n0.50 0.247437\n0.75 0.860092\nName: 11607, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16832750591406992, std values: 1.2020111194812735, min values: -2.7211321814067784, max values: 3.0, median values: 0.4375662722477094, and quantile values: 0.25 -0.473002\n0.50 0.437566\n0.75 1.069333\nName: 11608, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.012754732987954858, std values: 0.8172608518165009, min values: -2.0477799217050063, max values: 5.0, median values: 0.0225841563808765, and quantile values: 0.25 -0.502087\n0.50 0.022584\n0.75 0.480932\nName: 11609, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06344051610005497, std values: 0.7528372557834617, min values: -2.001164707410773, max values: 3.867701659180865, median values: -0.0500314763182949, and quantile values: 0.25 -0.584530\n0.50 -0.050031\n0.75 0.407066\nName: 11610, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06121118767934081, std values: 0.9461373377148502, min values: -2.558791007225312, max values: 3.319774799707247, median values: 0.0852270810369596, and quantile values: 0.25 -0.578363\n0.50 0.085227\n0.75 0.774734\nName: 11611, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44607409227239436, std values: 0.9277449898138376, min values: -2.745904427753044, max values: 5.0, median values: 0.3577893130979334, and quantile values: 0.25 -0.201202\n0.50 0.357789\n0.75 1.065073\nName: 11612, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03516360976081147, std values: 0.9030798294862843, min values: -2.5213149333948146, max values: 3.349054967837474, median values: 0.0268047375585985, and quantile values: 0.25 -0.607423\n0.50 0.026805\n0.75 0.649085\nName: 11613, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20365863107740306, std values: 0.7991578063778111, min values: -2.3808324358856225, max values: 3.0, median values: 0.223878755008837, and quantile values: 0.25 -0.339116\n0.50 0.223879\n0.75 0.760977\nName: 11614, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35564493098649963, std values: 0.8474893765779055, min values: -2.157019117459074, max values: 4.0, median values: -0.3842591763633149, and quantile values: 0.25 -0.976653\n0.50 -0.384259\n0.75 0.196671\nName: 11615, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2070731414127667, std values: 1.301524594203386, min values: -2.769191083399913, max values: 3.3337116327022187, median values: 0.0662529457275316, and quantile values: 0.25 -1.140188\n0.50 0.066253\n0.75 0.841739\nName: 11616, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19063762336061407, std values: 0.762062154830636, min values: -2.525881048269423, max values: 3.3760121766849016, median values: 0.174668626092456, and quantile values: 0.25 -0.307316\n0.50 0.174669\n0.75 0.658328\nName: 11617, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.046797778331556295, std values: 0.7851972052416345, min values: -2.13876869940687, max values: 4.0, median values: -0.1382996742531469, and quantile values: 0.25 -0.565132\n0.50 -0.138300\n0.75 0.444639\nName: 11618, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0768677376108322, std values: 0.8298657748857959, min values: -2.6685266729136536, max values: 6.0, median values: 0.0398583257430042, and quantile values: 0.25 -0.438567\n0.50 0.039858\n0.75 0.584502\nName: 11619, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2987440102389063, std values: 0.803814198895516, min values: -2.104667097879677, max values: 4.0, median values: 0.3754026699115427, and quantile values: 0.25 -0.236402\n0.50 0.375403\n0.75 0.822530\nName: 11620, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2579168615884352, std values: 0.7778113656925728, min values: -1.9718505000240385, max values: 2.876849581118866, median values: 0.29937088504943, and quantile values: 0.25 -0.240259\n0.50 0.299371\n0.75 0.767578\nName: 11621, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.025977062321554643, std values: 0.9243317716130846, min values: -2.687282238908512, max values: 3.147276669305989, median values: 0.0062790046364441, and quantile values: 0.25 -0.681872\n0.50 0.006279\n0.75 0.602966\nName: 11622, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3930049949776945, std values: 0.9060478173322469, min values: -2.4564928597243227, max values: 4.243835016543704, median values: 0.4895446333541233, and quantile values: 0.25 -0.294925\n0.50 0.489545\n0.75 1.103620\nName: 11623, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.256772632878109, std values: 1.0202650245661382, min values: -2.3283264742626213, max values: 5.0, median values: -0.4509098923453705, and quantile values: 0.25 -1.023515\n0.50 -0.450910\n0.75 0.343725\nName: 11624, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0898319909116172, std values: 1.0204960940197172, min values: -2.9090251609554527, max values: 6.0, median values: -0.0249807548585253, and quantile values: 0.25 -0.701335\n0.50 -0.024981\n0.75 0.577395\nName: 11625, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24153005316728782, std values: 0.843385178965996, min values: -2.580492024304656, max values: 3.4566816047670264, median values: -0.3682906024719132, and quantile values: 0.25 -0.855834\n0.50 -0.368291\n0.75 0.274202\nName: 11626, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2717848680605011, std values: 1.153496272230504, min values: -2.842989614395848, max values: 5.0, median values: -0.0607780745272091, and quantile values: 0.25 -0.929211\n0.50 -0.060778\n0.75 0.489312\nName: 11627, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3698544269442606, std values: 0.914863762637128, min values: -1.9706972559200704, max values: 3.867701659180865, median values: 0.3015761778203853, and quantile values: 0.25 -0.262600\n0.50 0.301576\n0.75 1.046666\nName: 11628, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0007536643408802446, std values: 1.0362616776408213, min values: -2.8467638118011016, max values: 5.0, median values: 0.1674258097126582, and quantile values: 0.25 -0.557330\n0.50 0.167426\n0.75 0.698015\nName: 11629, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3141011807176625, std values: 1.2968197382550806, min values: -2.6270253558526173, max values: 4.0, median values: 0.4623678734420046, and quantile values: 0.25 -0.426772\n0.50 0.462368\n0.75 1.355707\nName: 11630, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40920155793956353, std values: 0.9103951241226867, min values: -2.933035609461076, max values: 5.0, median values: -0.4468007193088572, and quantile values: 0.25 -0.956025\n0.50 -0.446801\n0.75 0.133076\nName: 11631, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23914801939522115, std values: 0.9393084597091774, min values: -2.919359491767569, max values: 5.0, median values: -0.2661369998719755, and quantile values: 0.25 -0.845555\n0.50 -0.266137\n0.75 0.325470\nName: 11632, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07465194450614533, std values: 0.7568042926635558, min values: -2.0139736029884823, max values: 3.3337116327022187, median values: 0.0957001798328742, and quantile values: 0.25 -0.443484\n0.50 0.095700\n0.75 0.548648\nName: 11633, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27101860876912864, std values: 0.7925967883390302, min values: -2.5759052915632985, max values: 3.434669824302974, median values: 0.2417330279046041, and quantile values: 0.25 -0.227946\n0.50 0.241733\n0.75 0.734750\nName: 11634, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08707599830396236, std values: 0.8854854184251572, min values: -2.03491991191987, max values: 3.477886732511886, median values: -0.2322162866365148, and quantile values: 0.25 -0.744271\n0.50 -0.232216\n0.75 0.469692\nName: 11635, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20064667262597516, std values: 1.153603730916555, min values: -2.9090251609554527, max values: 6.0, median values: -0.0922496761660923, and quantile values: 0.25 -0.912653\n0.50 -0.092250\n0.75 0.595641\nName: 11636, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14841193287013812, std values: 0.874871816235641, min values: -2.642042398333877, max values: 3.627976272701048, median values: -0.163927486007488, and quantile values: 0.25 -0.684759\n0.50 -0.163927\n0.75 0.408532\nName: 11637, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08897655440949027, std values: 0.7947910672558107, min values: -2.037108201786327, max values: 3.0, median values: 0.1045365394294126, and quantile values: 0.25 -0.490352\n0.50 0.104537\n0.75 0.701850\nName: 11638, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.037054274882624215, std values: 0.9000481096162648, min values: -2.807209974165368, max values: 6.0, median values: 0.1020415220933839, and quantile values: 0.25 -0.507882\n0.50 0.102042\n0.75 0.645318\nName: 11639, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5784721720402455, std values: 0.8495792288067364, min values: -2.789830374413015, max values: 3.434669824302974, median values: 0.62148861871663, and quantile values: 0.25 0.053893\n0.50 0.621489\n0.75 1.139345\nName: 11640, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13953205339422167, std values: 0.775380263631295, min values: -2.476285024008804, max values: 3.0, median values: 0.1648617716106105, and quantile values: 0.25 -0.390450\n0.50 0.164862\n0.75 0.680518\nName: 11641, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24623464323859318, std values: 0.7402792745185987, min values: -2.730840794324401, max values: 3.0, median values: 0.2419598806134147, and quantile values: 0.25 -0.234622\n0.50 0.241960\n0.75 0.724185\nName: 11642, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2871839257399283, std values: 1.0605679811516384, min values: -2.3051489257282016, max values: 5.0, median values: 0.3432642243061183, and quantile values: 0.25 -0.532475\n0.50 0.343264\n0.75 1.101493\nName: 11643, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09246961390094746, std values: 0.7539635458822184, min values: -2.8843374390620142, max values: 6.0, median values: -0.1523683065545126, and quantile values: 0.25 -0.570244\n0.50 -0.152368\n0.75 0.354275\nName: 11644, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4789161346565058, std values: 1.0226287337679694, min values: -2.8680719719444903, max values: 3.455472209455805, median values: -0.5075063179928525, and quantile values: 0.25 -1.245881\n0.50 -0.507506\n0.75 0.201902\nName: 11645, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.47674362066157167, std values: 1.060211702399025, min values: -2.933035609461076, max values: 5.0, median values: -0.4974142684559521, and quantile values: 0.25 -1.177649\n0.50 -0.497414\n0.75 0.286221\nName: 11646, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39110755771346334, std values: 0.8697576697189927, min values: -2.011274058715068, max values: 5.0, median values: -0.5017649851244121, and quantile values: 0.25 -1.082484\n0.50 -0.501765\n0.75 0.149682\nName: 11647, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31632415833975447, std values: 0.8188364807298913, min values: -1.8605009349287192, max values: 5.0, median values: 0.3400169732117086, and quantile values: 0.25 -0.230597\n0.50 0.340017\n0.75 0.863565\nName: 11648, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04966460673160519, std values: 0.952434488372808, min values: -2.160415784529872, max values: 4.0, median values: 0.0680252622089707, and quantile values: 0.25 -0.729820\n0.50 0.068025\n0.75 0.832045\nName: 11649, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11658641939714157, std values: 0.9316193649151046, min values: -2.697026421440041, max values: 4.243835016543704, median values: 0.0828226874642646, and quantile values: 0.25 -0.426573\n0.50 0.082823\n0.75 0.693279\nName: 11650, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.091820300980176, std values: 0.7950907814198599, min values: -2.2161166709808824, max values: 6.0, median values: -0.1351506217025078, and quantile values: 0.25 -0.629023\n0.50 -0.135151\n0.75 0.371010\nName: 11651, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03198418616724005, std values: 0.7136661828097852, min values: -1.9991292149628368, max values: 3.438667023696733, median values: 0.0099143151178757, and quantile values: 0.25 -0.423314\n0.50 0.009914\n0.75 0.460136\nName: 11652, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18689152323737823, std values: 0.7604191574044832, min values: -2.4176069991382847, max values: 6.0, median values: 0.1862454898237726, and quantile values: 0.25 -0.302960\n0.50 0.186245\n0.75 0.694190\nName: 11653, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3823927978421877, std values: 0.7554949405852489, min values: -1.9764330321622496, max values: 4.0, median values: 0.3473273331146893, and quantile values: 0.25 -0.118531\n0.50 0.347327\n0.75 0.888668\nName: 11654, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.029201856082250035, std values: 0.9026612451099699, min values: -2.2915911556076085, max values: 3.0, median values: -0.1022385270025248, and quantile values: 0.25 -0.736128\n0.50 -0.102239\n0.75 0.624297\nName: 11655, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2754570032495725, std values: 0.8582110656368955, min values: -2.125466800496085, max values: 6.0, median values: 0.3153525925907229, and quantile values: 0.25 -0.350930\n0.50 0.315353\n0.75 0.904558\nName: 11656, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3028928872674303, std values: 0.8939727523468964, min values: -2.572123985342288, max values: 4.0, median values: 0.3610501410228615, and quantile values: 0.25 -0.346947\n0.50 0.361050\n0.75 1.001354\nName: 11657, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25956240384830853, std values: 1.0010476369233994, min values: -2.8680719719444903, max values: 3.155170554159904, median values: 0.370478434058165, and quantile values: 0.25 -0.427014\n0.50 0.370478\n0.75 0.976831\nName: 11658, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3191272684077167, std values: 0.915976960292123, min values: -2.5743883495350026, max values: 5.0, median values: -0.4135668070012911, and quantile values: 0.25 -1.014351\n0.50 -0.413567\n0.75 0.266450\nName: 11659, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.309242256134323, std values: 1.3554240522419638, min values: -2.623568901859613, max values: 4.0, median values: 0.6430473685629495, and quantile values: 0.25 -0.594371\n0.50 0.643047\n0.75 1.358870\nName: 11660, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3297008921163925, std values: 1.0528556343119064, min values: -2.5580809338717394, max values: 3.709787027503053, median values: -0.3876456243531729, and quantile values: 0.25 -1.214476\n0.50 -0.387646\n0.75 0.395531\nName: 11661, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18921269900415635, std values: 0.9625482437363164, min values: -2.607565022042742, max values: 4.0, median values: -0.2370820861337652, and quantile values: 0.25 -0.799775\n0.50 -0.237082\n0.75 0.434404\nName: 11662, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.034143169387444106, std values: 1.0107057086755737, min values: -2.098259549910112, max values: 4.0, median values: -0.0630987036049986, and quantile values: 0.25 -0.818804\n0.50 -0.063099\n0.75 0.661958\nName: 11663, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09732089237128451, std values: 0.7431449297196548, min values: -1.9792159832831149, max values: 5.0, median values: -0.1133332539155137, and quantile values: 0.25 -0.581687\n0.50 -0.113333\n0.75 0.333963\nName: 11664, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1968360203555033, std values: 1.0300160984317857, min values: -2.815821936576896, max values: 3.0, median values: -0.0993875258128158, and quantile values: 0.25 -0.830489\n0.50 -0.099388\n0.75 0.539249\nName: 11665, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09992472355549765, std values: 0.9325532468072604, min values: -2.815821936576896, max values: 3.434669824302974, median values: -0.0195706189134935, and quantile values: 0.25 -0.635721\n0.50 -0.019571\n0.75 0.462815\nName: 11666, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21220139338963903, std values: 1.11006858072432, min values: -2.4902145713898545, max values: 3.124705982383484, median values: 0.2435043684721902, and quantile values: 0.25 -0.474419\n0.50 0.243504\n0.75 0.956137\nName: 11667, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.540548390503741, std values: 0.9420790223584616, min values: -2.841647375415054, max values: 5.0, median values: -0.6173848940933298, and quantile values: 0.25 -1.300796\n0.50 -0.617385\n0.75 0.088414\nName: 11668, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03037576293278429, std values: 0.888045905157186, min values: -2.521882829270847, max values: 4.0, median values: 0.0079038651410017, and quantile values: 0.25 -0.531366\n0.50 0.007904\n0.75 0.626306\nName: 11669, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6167827559755666, std values: 1.0848025182672103, min values: -2.39180940730784, max values: 4.0, median values: 0.759699173892866, and quantile values: 0.25 -0.168528\n0.50 0.759699\n0.75 1.431468\nName: 11670, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15567103840233854, std values: 0.812238648963807, min values: -2.1074897695020414, max values: 3.0148736195915853, median values: -0.2537168073033054, and quantile values: 0.25 -0.758060\n0.50 -0.253717\n0.75 0.397295\nName: 11671, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4226893526380079, std values: 1.090843973530249, min values: -2.891990595045606, max values: 6.0, median values: 0.4992850946438446, and quantile values: 0.25 -0.293545\n0.50 0.499285\n0.75 1.244137\nName: 11672, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4989389684941355, std values: 0.8642863510043047, min values: -2.590643619371846, max values: 4.0, median values: -0.6304942424862806, and quantile values: 0.25 -1.077997\n0.50 -0.630494\n0.75 0.010919\nName: 11673, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3410224944968861, std values: 0.927498648962667, min values: -2.9622221028070275, max values: 4.0, median values: -0.3237595961723667, and quantile values: 0.25 -1.040230\n0.50 -0.323760\n0.75 0.376028\nName: 11674, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4444517427522194, std values: 1.05315228865149, min values: -2.4536054974529624, max values: 6.0, median values: 0.3969145764208824, and quantile values: 0.25 -0.361431\n0.50 0.396915\n0.75 1.291544\nName: 11675, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07979155939896564, std values: 0.7956576574905071, min values: -2.240740315114864, max values: 4.0, median values: -0.0936326019425081, and quantile values: 0.25 -0.606457\n0.50 -0.093633\n0.75 0.418872\nName: 11676, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18136915587087712, std values: 0.9844277878313271, min values: -3.236860296211546, max values: 3.176672644814091, median values: 0.293986744253509, and quantile values: 0.25 -0.329992\n0.50 0.293987\n0.75 0.800876\nName: 11677, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06908139153012383, std values: 0.9686375523207327, min values: -2.0864604194430334, max values: 6.0, median values: -0.1201117324329323, and quantile values: 0.25 -0.871556\n0.50 -0.120112\n0.75 0.615058\nName: 11678, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3926722819523214, std values: 0.8816256685040242, min values: -1.9155491709816903, max values: 5.0, median values: 0.3494978685266363, and quantile values: 0.25 -0.175845\n0.50 0.349498\n0.75 0.925063\nName: 11679, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.869267319739947, std values: 1.050888839381739, min values: -2.6899145007874274, max values: 3.518664430018096, median values: 0.8765529394302993, and quantile values: 0.25 0.120210\n0.50 0.876553\n0.75 1.670976\nName: 11680, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3751842552964485, std values: 0.9311579374314514, min values: -2.7884838087481176, max values: 6.0, median values: 0.451885665817715, and quantile values: 0.25 -0.283554\n0.50 0.451886\n0.75 1.041157\nName: 11681, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3438095046465956, std values: 0.8067395062060819, min values: -2.6201435104586555, max values: 6.0, median values: 0.3856764290293969, and quantile values: 0.25 -0.178881\n0.50 0.385676\n0.75 0.847246\nName: 11682, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3280021114775692, std values: 0.8852351150104883, min values: -2.8121055320525654, max values: 5.0, median values: -0.4112210625690319, and quantile values: 0.25 -0.917737\n0.50 -0.411221\n0.75 0.235478\nName: 11683, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2338703903579203, std values: 0.930814965002636, min values: -2.6278943940336483, max values: 4.0, median values: -0.1701288423319294, and quantile values: 0.25 -0.842642\n0.50 -0.170129\n0.75 0.357995\nName: 11684, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25489423302063013, std values: 0.859972571808828, min values: -2.5879430435308, max values: 3.0, median values: -0.249765602167297, and quantile values: 0.25 -0.778010\n0.50 -0.249766\n0.75 0.255964\nName: 11685, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09838310909711824, std values: 0.9110102085683636, min values: -2.5879430435308, max values: 3.2936960268109283, median values: 0.0156980531620617, and quantile values: 0.25 -0.586978\n0.50 0.015698\n0.75 0.741811\nName: 11686, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17707437673230494, std values: 0.7855114306935224, min values: -2.6635706018350787, max values: 3.3014869995452325, median values: 0.1798305028518742, and quantile values: 0.25 -0.295962\n0.50 0.179831\n0.75 0.653877\nName: 11687, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22533057324015757, std values: 0.8759135402217535, min values: -2.160984325879425, max values: 5.0, median values: 0.258440713746659, and quantile values: 0.25 -0.405451\n0.50 0.258441\n0.75 0.869381\nName: 11688, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8034972264975736, std values: 0.8747735514583879, min values: -2.270832157808824, max values: 6.0, median values: -1.0177657820462045, and quantile values: 0.25 -1.452576\n0.50 -1.017766\n0.75 -0.312944\nName: 11689, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38791850300382685, std values: 1.0564142946162187, min values: -2.9090251609554527, max values: 6.0, median values: -0.3769692723373329, and quantile values: 0.25 -1.112355\n0.50 -0.376969\n0.75 0.313732\nName: 11690, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09911467722886612, std values: 0.7791848933527697, min values: -2.1695974540436334, max values: 4.0, median values: -0.1705664603512644, and quantile values: 0.25 -0.632802\n0.50 -0.170566\n0.75 0.389940\nName: 11691, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19364552199716226, std values: 0.853474625419184, min values: -2.2012167772695554, max values: 3.312693232344632, median values: -0.2424703447574178, and quantile values: 0.25 -0.793195\n0.50 -0.242470\n0.75 0.351056\nName: 11692, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19449475477038106, std values: 0.8298184704562396, min values: -2.39180940730784, max values: 4.0, median values: 0.219397645000598, and quantile values: 0.25 -0.374398\n0.50 0.219398\n0.75 0.721885\nName: 11693, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11344165168043673, std values: 0.91199165534361, min values: -2.109453808537056, max values: 4.243835016543704, median values: -0.2420682233343452, and quantile values: 0.25 -0.799472\n0.50 -0.242068\n0.75 0.486721\nName: 11694, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.046769554615594795, std values: 1.1351257474807956, min values: -2.6603025395856053, max values: 5.0, median values: 0.1284990384786683, and quantile values: 0.25 -0.728649\n0.50 0.128499\n0.75 0.907540\nName: 11695, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3860462138252813, std values: 0.8164694277214839, min values: -2.0680083796580035, max values: 3.438667023696733, median values: 0.4646410503739797, and quantile values: 0.25 -0.160413\n0.50 0.464641\n0.75 0.978252\nName: 11696, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18049175334072481, std values: 0.9775545439166141, min values: -2.928515832252388, max values: 5.0, median values: -0.2160336580812377, and quantile values: 0.25 -0.857384\n0.50 -0.216034\n0.75 0.455426\nName: 11697, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14400412731280585, std values: 1.0295066743812364, min values: -2.1227739687253626, max values: 3.135426854633533, median values: 0.0075158431785476, and quantile values: 0.25 -0.612832\n0.50 0.007516\n0.75 0.848430\nName: 11698, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.269913504920049, std values: 0.9081901622812503, min values: -2.043287858674072, max values: 3.9905524164385566, median values: 0.2833668191982367, and quantile values: 0.25 -0.410119\n0.50 0.283367\n0.75 1.030053\nName: 11699, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22633458635386414, std values: 0.9641963544289367, min values: -2.8246479422601736, max values: 5.0, median values: -0.195444419841008, and quantile values: 0.25 -0.794607\n0.50 -0.195444\n0.75 0.384615\nName: 11700, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18605279823510276, std values: 0.9719637079146561, min values: -2.642042398333877, max values: 3.455472209455805, median values: -0.1533487085287796, and quantile values: 0.25 -0.851653\n0.50 -0.153349\n0.75 0.455645\nName: 11701, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18116201567588358, std values: 0.7917585945485475, min values: -2.1775880058603043, max values: 3.627976272701048, median values: -0.243179427594955, and quantile values: 0.25 -0.738920\n0.50 -0.243179\n0.75 0.273220\nName: 11702, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01158988827488749, std values: 0.816515353807064, min values: -2.4536054974529624, max values: 6.0, median values: -0.0367732691714169, and quantile values: 0.25 -0.573389\n0.50 -0.036773\n0.75 0.577618\nName: 11703, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06365229374684185, std values: 0.9530463238645561, min values: -2.0393062902829144, max values: 6.0, median values: 0.0505757581322623, and quantile values: 0.25 -0.670208\n0.50 0.050576\n0.75 0.743773\nName: 11704, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08671265130650806, std values: 0.8381249658080522, min values: -2.960014365184806, max values: 6.0, median values: 0.1109786748344756, and quantile values: 0.25 -0.387487\n0.50 0.110979\n0.75 0.605434\nName: 11705, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.581780280500714, std values: 0.9807686327493107, min values: -2.739804196611005, max values: 6.0, median values: -0.673107460881049, and quantile values: 0.25 -1.432696\n0.50 -0.673107\n0.75 0.095700\nName: 11706, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5171846735068887, std values: 0.8003880091001735, min values: -2.7314147016889114, max values: 3.784832159836258, median values: -0.6339578107097018, and quantile values: 0.25 -1.090434\n0.50 -0.633958\n0.75 -0.055382\nName: 11707, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5017760703479037, std values: 0.9937515794625905, min values: -2.1502995050841665, max values: 4.243835016543704, median values: -0.6340989313278451, and quantile values: 0.25 -1.337177\n0.50 -0.634099\n0.75 0.140248\nName: 11708, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06511866187793158, std values: 0.8741287826029954, min values: -2.475778245535816, max values: 4.0, median values: -0.0173485964840923, and quantile values: 0.25 -0.523611\n0.50 -0.017349\n0.75 0.602690\nName: 11709, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.542918359986155, std values: 0.927942660537304, min values: -2.5689076212724418, max values: 5.0, median values: 0.5202655718922047, and quantile values: 0.25 -0.156370\n0.50 0.520266\n0.75 1.205410\nName: 11710, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45958383379235496, std values: 0.8531025946394968, min values: -2.109453808537056, max values: 5.0, median values: 0.4917811074783674, and quantile values: 0.25 -0.049558\n0.50 0.491781\n0.75 0.959842\nName: 11711, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22986108870302982, std values: 0.8766809614953676, min values: -3.2372475247926937, max values: 3.405671179043623, median values: -0.2663362933490854, and quantile values: 0.25 -0.881586\n0.50 -0.266336\n0.75 0.386804\nName: 11712, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49313655149554503, std values: 0.9412152538352131, min values: -2.580492024304656, max values: 4.278004674434932, median values: 0.6146548467499088, and quantile values: 0.25 -0.134132\n0.50 0.614655\n0.75 1.171556\nName: 11713, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3191424851154076, std values: 0.8864354939084289, min values: -2.6117120822772133, max values: 5.0, median values: 0.3205732378845615, and quantile values: 0.25 -0.317316\n0.50 0.320573\n0.75 0.970460\nName: 11714, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25417953703782925, std values: 0.8347749580174775, min values: -1.9889176742419024, max values: 3.9048392686725855, median values: 0.2955005739550228, and quantile values: 0.25 -0.310860\n0.50 0.295501\n0.75 0.778084\nName: 11715, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5510612926733665, std values: 0.8504136535643126, min values: -2.0085619686347487, max values: 3.8226908388056136, median values: 0.533436102677177, and quantile values: 0.25 0.018590\n0.50 0.533436\n0.75 1.088280\nName: 11716, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13055267536892887, std values: 0.8864824266997441, min values: -2.673124659932621, max values: 6.0, median values: 0.101767916764449, and quantile values: 0.25 -0.383364\n0.50 0.101768\n0.75 0.671866\nName: 11717, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.041448451568318646, std values: 0.8382256623581023, min values: -2.131236602105937, max values: 3.3483277116524426, median values: -0.0054595976540314, and quantile values: 0.25 -0.663360\n0.50 -0.005460\n0.75 0.550941\nName: 11718, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2616208156795609, std values: 0.8802938156598543, min values: -2.5953860446419177, max values: 3.0, median values: -0.3537971359144436, and quantile values: 0.25 -0.894405\n0.50 -0.353797\n0.75 0.293962\nName: 11719, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33891236909573735, std values: 0.9444794473252069, min values: -2.5820330744015787, max values: 4.0, median values: 0.40049268293639, and quantile values: 0.25 -0.293114\n0.50 0.400493\n0.75 1.078758\nName: 11720, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1021466984224008, std values: 0.9390322833424458, min values: -2.2657389734574696, max values: 5.0, median values: -0.1820719544203552, and quantile values: 0.25 -0.865834\n0.50 -0.182072\n0.75 0.581700\nName: 11721, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40421689335394567, std values: 0.8137570235790715, min values: -2.099713839971814, max values: 5.0, median values: 0.4071607229617643, and quantile values: 0.25 -0.117378\n0.50 0.407161\n0.75 0.945966\nName: 11722, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4499973980892835, std values: 1.0169814663320742, min values: -2.576018450691392, max values: 4.0, median values: 0.4526058808927078, and quantile values: 0.25 -0.173035\n0.50 0.452606\n0.75 1.154401\nName: 11723, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09924147863984356, std values: 0.7877830360080804, min values: -2.17425775200066, max values: 6.0, median values: 0.0595476286656553, and quantile values: 0.25 -0.412217\n0.50 0.059548\n0.75 0.571569\nName: 11724, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07276601115629514, std values: 0.8326272446350815, min values: -2.1339127560970463, max values: 2.7966401946102457, median values: 0.1312703891828176, and quantile values: 0.25 -0.521864\n0.50 0.131270\n0.75 0.691179\nName: 11725, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31541531697578856, std values: 1.0117806533777878, min values: -2.5399045531878324, max values: 4.0, median values: 0.4785248681543894, and quantile values: 0.25 -0.374339\n0.50 0.478525\n0.75 1.095037\nName: 11726, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12755747398379785, std values: 1.0913323759049762, min values: -2.87684958111886, max values: 3.390469008396469, median values: 0.3528905282394043, and quantile values: 0.25 -0.392210\n0.50 0.352891\n0.75 0.914051\nName: 11727, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04740827695938488, std values: 0.8479655749912592, min values: -1.997532106478724, max values: 3.135426854633533, median values: 0.0198542880768779, and quantile values: 0.25 -0.539311\n0.50 0.019854\n0.75 0.599795\nName: 11728, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19989344806039638, std values: 0.938430690093339, min values: -2.891990595045606, max values: 6.0, median values: -0.2557932738576633, and quantile values: 0.25 -0.766100\n0.50 -0.255793\n0.75 0.384075\nName: 11729, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6044908545066998, std values: 0.8082837942122012, min values: -2.580492024304656, max values: 3.0, median values: -0.654931245937115, and quantile values: 0.25 -1.202416\n0.50 -0.654931\n0.75 -0.138681\nName: 11730, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3050723453509927, std values: 0.7867254577938524, min values: -2.9278427058120164, max values: 6.0, median values: -0.343900897463496, and quantile values: 0.25 -0.862710\n0.50 -0.343901\n0.75 0.149682\nName: 11731, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21878579589922958, std values: 1.0224718790770826, min values: -2.160415784529872, max values: 3.32433157891547, median values: 0.1517714864955723, and quantile values: 0.25 -0.631307\n0.50 0.151771\n0.75 0.991446\nName: 11732, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07165907240314624, std values: 0.9874451655218086, min values: -2.916688926075616, max values: 6.0, median values: 0.1502884252002702, and quantile values: 0.25 -0.634975\n0.50 0.150288\n0.75 0.815127\nName: 11733, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12001827666494976, std values: 0.7385923579366098, min values: -2.048935494746508, max values: 2.6374205361882708, median values: -0.1489026997180627, and quantile values: 0.25 -0.618831\n0.50 -0.148903\n0.75 0.381467\nName: 11734, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06951326668231365, std values: 1.074689196577816, min values: -2.7211321814067784, max values: 3.20751086257212, median values: 0.115951957235002, and quantile values: 0.25 -0.585399\n0.50 0.115952\n0.75 0.621295\nName: 11735, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0680699157549029, std values: 0.8811155161121337, min values: -2.6117120822772133, max values: 5.0, median values: 0.1121677784689957, and quantile values: 0.25 -0.433183\n0.50 0.112168\n0.75 0.594290\nName: 11736, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35966247573677956, std values: 0.8278264683272369, min values: -2.5689076212724418, max values: 5.0, median values: 0.3735121504134343, and quantile values: 0.25 -0.168576\n0.50 0.373512\n0.75 0.871763\nName: 11737, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23482682276153005, std values: 0.8512500942196564, min values: -2.072440627773495, max values: 6.0, median values: 0.2620871805953608, and quantile values: 0.25 -0.287512\n0.50 0.262087\n0.75 0.785437\nName: 11738, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12380030552943715, std values: 0.8145019632548863, min values: -2.033611600779362, max values: 3.0932086550988465, median values: 0.1481614029214496, and quantile values: 0.25 -0.441236\n0.50 0.148161\n0.75 0.609308\nName: 11739, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05303884942534007, std values: 0.9367201035090191, min values: -2.891990595045606, max values: 6.0, median values: 0.1680729832719318, and quantile values: 0.25 -0.538538\n0.50 0.168073\n0.75 0.713263\nName: 11740, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25000921691163225, std values: 0.7867285419226503, min values: -2.347124757056036, max values: 3.103622965243153, median values: 0.2950233883808208, and quantile values: 0.25 -0.283926\n0.50 0.295023\n0.75 0.756130\nName: 11741, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7588334205356969, std values: 0.985008649653646, min values: -2.9622221028070275, max values: 6.0, median values: -0.6871692355352019, and quantile values: 0.25 -1.479598\n0.50 -0.687169\n0.75 -0.111264\nName: 11742, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5896743513851903, std values: 0.8397233127595486, min values: -2.1695974540436334, max values: 4.0, median values: 0.6452162148282542, and quantile values: 0.25 0.033047\n0.50 0.645216\n0.75 1.197918\nName: 11743, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04968852943854886, std values: 0.7769012750859333, min values: -2.3808324358856225, max values: 3.030805337148847, median values: 0.0143229994143819, and quantile values: 0.25 -0.444921\n0.50 0.014323\n0.75 0.474448\nName: 11744, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38518315892078037, std values: 1.0955819133408735, min values: -2.576018450691392, max values: 4.0, median values: 0.5943228497337296, and quantile values: 0.25 -0.173373\n0.50 0.594323\n0.75 1.143783\nName: 11745, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4085345817967503, std values: 0.9693486878060034, min values: -2.6603025395856053, max values: 5.0, median values: 0.506692052964963, and quantile values: 0.25 -0.194125\n0.50 0.506692\n0.75 1.128450\nName: 11746, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5126861218690907, std values: 0.9060211542333947, min values: -1.9788256412357303, max values: 3.528773265847577, median values: 0.6259166271945344, and quantile values: 0.25 -0.162059\n0.50 0.625917\n0.75 1.167572\nName: 11747, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14741025604056024, std values: 0.908110756256722, min values: -2.3051489257282016, max values: 5.0, median values: -0.1382736236664154, and quantile values: 0.25 -0.861368\n0.50 -0.138274\n0.75 0.504072\nName: 11748, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15998978677033301, std values: 0.9199630168662124, min values: -2.634919142586459, max values: 6.0, median values: 0.2937399708231497, and quantile values: 0.25 -0.392236\n0.50 0.293740\n0.75 0.817964\nName: 11749, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03905305689629571, std values: 0.7400529144847422, min values: -2.446217514954399, max values: 4.0, median values: 0.0489017641611712, and quantile values: 0.25 -0.438667\n0.50 0.048902\n0.75 0.468848\nName: 11750, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14644650470217996, std values: 1.4213520815732106, min values: -2.607565022042742, max values: 4.0, median values: 0.0757780326694683, and quantile values: 0.25 -1.015457\n0.50 0.075778\n0.75 1.216728\nName: 11751, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11718336384843774, std values: 0.8137955788321407, min values: -2.104667097879677, max values: 4.0, median values: 0.1307632614432206, and quantile values: 0.25 -0.438667\n0.50 0.130763\n0.75 0.643217\nName: 11752, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.047970020066462705, std values: 0.7787550689923441, min values: -2.139311372893009, max values: 6.0, median values: 0.0433880273696056, and quantile values: 0.25 -0.474111\n0.50 0.043388\n0.75 0.527179\nName: 11753, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07646562093560909, std values: 1.1891104990404586, min values: -2.916688926075616, max values: 6.0, median values: 0.0837346417043446, and quantile values: 0.25 -0.930397\n0.50 0.083735\n0.75 0.880994\nName: 11754, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29076618246777314, std values: 0.8853128291196138, min values: -2.5039074859839925, max values: 4.0, median values: -0.4111696236182061, and quantile values: 0.25 -0.948178\n0.50 -0.411170\n0.75 0.261090\nName: 11755, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6393475441579576, std values: 0.8160543378912699, min values: -1.944463693791236, max values: 5.0, median values: 0.7450821369096495, and quantile values: 0.25 0.109528\n0.50 0.745082\n0.75 1.186232\nName: 11756, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3067857419979878, std values: 0.7830499054865273, min values: -2.4536054974529624, max values: 6.0, median values: -0.3976784000793952, and quantile values: 0.25 -0.825136\n0.50 -0.397678\n0.75 0.145228\nName: 11757, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.551974993741465, std values: 1.2056086569420412, min values: -2.610097161345549, max values: 4.0, median values: -0.5660688810121413, and quantile values: 0.25 -1.608460\n0.50 -0.566069\n0.75 0.359287\nName: 11758, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4368205310800527, std values: 0.8671470975356633, min values: -2.9898739724800576, max values: 3.434669824302974, median values: -0.55944988981999, and quantile values: 0.25 -1.048712\n0.50 -0.559450\n0.75 0.074425\nName: 11759, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40408792165705204, std values: 0.8001018956699263, min values: -2.710223074556336, max values: 4.0, median values: 0.4727247306891972, and quantile values: 0.25 -0.125211\n0.50 0.472725\n0.75 0.970836\nName: 11760, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 1.0501758571314663, std values: 0.9820660125562908, min values: -1.9308247847065363, max values: 5.0, median values: 1.0712609288856991, and quantile values: 0.25 0.436665\n0.50 1.071261\n0.75 1.697651\nName: 11761, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18204755410696383, std values: 0.9753288959997273, min values: -2.4540853055744134, max values: 3.241738645014612, median values: 0.1958093473948266, and quantile values: 0.25 -0.551357\n0.50 0.195809\n0.75 0.957226\nName: 11762, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38611212176433646, std values: 1.0393313949708645, min values: -2.5774281843044924, max values: 4.0, median values: -0.5176707624071807, and quantile values: 0.25 -1.219308\n0.50 -0.517671\n0.75 0.339003\nName: 11763, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4092626576769474, std values: 0.9650173277291473, min values: -2.024672014234868, max values: 5.0, median values: 0.4732312569840547, and quantile values: 0.25 -0.267239\n0.50 0.473231\n0.75 1.175283\nName: 11764, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.1524400205307732, std values: 1.1979332659417838, min values: -2.727901130262228, max values: 4.0, median values: -1.6877491624678858, and quantile values: 0.25 -2.145101\n0.50 -1.687749\n0.75 -0.120611\nName: 11765, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5886798651396656, std values: 1.0922031020476184, min values: -3.103622965243163, max values: 3.0362913622068968, median values: -0.6069678914458513, and quantile values: 0.25 -1.348973\n0.50 -0.606968\n0.75 0.182464\nName: 11766, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.017942099631793575, std values: 0.8159195377124057, min values: -2.688157591415518, max values: 5.0, median values: 0.0342530938388411, and quantile values: 0.25 -0.527560\n0.50 0.034253\n0.75 0.539884\nName: 11767, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13569055043254663, std values: 0.7782004786592699, min values: -2.19094009478908, max values: 5.0, median values: -0.1840596025607081, and quantile values: 0.25 -0.678748\n0.50 -0.184060\n0.75 0.345857\nName: 11768, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37857450387858055, std values: 0.932580982383251, min values: -2.021990593288096, max values: 3.2696814875916886, median values: 0.3978574612551454, and quantile values: 0.25 -0.298695\n0.50 0.397857\n0.75 1.093233\nName: 11769, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2986674881276082, std values: 0.9012283493304093, min values: -2.710223074556336, max values: 4.0, median values: 0.3669352380518409, and quantile values: 0.25 -0.109029\n0.50 0.366935\n0.75 0.849456\nName: 11770, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44646874016010996, std values: 0.8887417350712798, min values: -2.5213149333948146, max values: 3.721862465295849, median values: -0.5781489637078294, and quantile values: 0.25 -1.116090\n0.50 -0.578149\n0.75 0.070200\nName: 11771, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.005832758447626956, std values: 0.9099020487138182, min values: -2.5825978442440407, max values: 6.0, median values: 0.0056959463757973, and quantile values: 0.25 -0.632955\n0.50 0.005696\n0.75 0.619261\nName: 11772, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3306052766800224, std values: 0.8612651323218896, min values: -2.8451834694312192, max values: 3.438667023696733, median values: 0.403567983939684, and quantile values: 0.25 -0.191825\n0.50 0.403568\n0.75 0.876057\nName: 11773, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13145171291836164, std values: 0.9845321285289901, min values: -2.919359491767569, max values: 5.0, median values: -0.1129051022730856, and quantile values: 0.25 -0.751446\n0.50 -0.112905\n0.75 0.479930\nName: 11774, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28486132290281485, std values: 0.9462973054140598, min values: -2.73836943861057, max values: 3.2071942083719924, median values: -0.3275614900751676, and quantile values: 0.25 -0.996952\n0.50 -0.327561\n0.75 0.400314\nName: 11775, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6536030162143719, std values: 0.919720415745044, min values: -2.783691185534105, max values: 3.784832159836258, median values: -0.7633629987427768, and quantile values: 0.25 -1.337639\n0.50 -0.763363\n0.75 -0.127716\nName: 11776, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38927498147843487, std values: 0.8055136068389339, min values: -2.601639132009086, max values: 6.0, median values: 0.3811119327563875, and quantile values: 0.25 -0.101614\n0.50 0.381112\n0.75 0.898868\nName: 11777, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.9408794383931967, std values: 1.0812442777859272, min values: -3.0148736195915964, max values: 3.1106274661862763, median values: -2.192472334639188, and quantile values: 0.25 -2.497628\n0.50 -2.192472\n0.75 -1.934926\nName: 11778, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22772166207316608, std values: 1.0676443454542182, min values: -3.074005993202373, max values: 4.243835016543704, median values: -0.2537424887107927, and quantile values: 0.25 -1.105124\n0.50 -0.253742\n0.75 0.560556\nName: 11779, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.1563210869211467, std values: 1.198154567405893, min values: -2.727901130262228, max values: 4.0, median values: -1.69985202848615, and quantile values: 0.25 -2.140874\n0.50 -1.699852\n0.75 -0.121832\nName: 11780, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1135902373881723, std values: 0.8503951968046104, min values: -2.688157591415518, max values: 3.415255285860171, median values: -0.2048940959797273, and quantile values: 0.25 -0.708729\n0.50 -0.204894\n0.75 0.414317\nName: 11781, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4526625099948308, std values: 0.9610329739793956, min values: -2.623568901859613, max values: 4.0, median values: -0.4505136070269316, and quantile values: 0.25 -1.025842\n0.50 -0.450514\n0.75 0.196141\nName: 11782, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03296399462386178, std values: 0.7553503757069222, min values: -3.447534482420193, max values: 3.1175233493066874, median values: -0.0096939900242334, and quantile values: 0.25 -0.544318\n0.50 -0.009694\n0.75 0.461080\nName: 11783, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08185097031102886, std values: 0.8227501997099143, min values: -2.10832026762241, max values: 5.0, median values: 0.1237185502984158, and quantile values: 0.25 -0.484576\n0.50 0.123719\n0.75 0.627781\nName: 11784, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28159782220623986, std values: 0.8251440527139916, min values: -2.475778245535816, max values: 4.0, median values: 0.327038507073365, and quantile values: 0.25 -0.251442\n0.50 0.327039\n0.75 0.838682\nName: 11785, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12314990825701753, std values: 1.2055826893994661, min values: -3.1386665508340674, max values: 3.5021977227593246, median values: -0.0529187094586982, and quantile values: 0.25 -0.959842\n0.50 -0.052919\n0.75 0.776036\nName: 11786, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13266066765682963, std values: 0.9085476769828399, min values: -2.724017888297919, max values: 3.2936960268109283, median values: -0.1347451599629723, and quantile values: 0.25 -0.758955\n0.50 -0.134745\n0.75 0.447401\nName: 11787, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18081999968937623, std values: 0.9179663827881296, min values: -2.279638670509252, max values: 6.0, median values: -0.2639338586576752, and quantile values: 0.25 -0.839286\n0.50 -0.263934\n0.75 0.367436\nName: 11788, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19048599225567672, std values: 0.9513438828472982, min values: -2.837386543755612, max values: 4.0, median values: -0.2225218405132069, and quantile values: 0.25 -0.854986\n0.50 -0.222522\n0.75 0.406169\nName: 11789, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3806354403097663, std values: 0.9340392208988189, min values: -2.028356248468432, max values: 3.4217036547572275, median values: 0.4064418706896696, and quantile values: 0.25 -0.291159\n0.50 0.406442\n0.75 1.119593\nName: 11790, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4701629992310687, std values: 0.7532163337409573, min values: -2.0314387868277453, max values: 6.0, median values: -0.575370648571002, and quantile values: 0.25 -0.996952\n0.50 -0.575371\n0.75 -0.037966\nName: 11791, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2462107772753462, std values: 0.8922144852573957, min values: -2.1990897392378703, max values: 3.306454397423372, median values: 0.2094148921082079, and quantile values: 0.25 -0.359968\n0.50 0.209415\n0.75 0.832941\nName: 11792, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09249244297012305, std values: 0.938861243908505, min values: -2.1178374075792616, max values: 3.141939528112806, median values: 0.1491411832648895, and quantile values: 0.25 -0.596987\n0.50 0.149141\n0.75 0.767513\nName: 11793, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06955101395154742, std values: 1.1747235391871946, min values: -2.769191083399913, max values: 3.379902545505621, median values: 0.2971983315577959, and quantile values: 0.25 -0.623016\n0.50 0.297198\n0.75 0.939875\nName: 11794, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21212934023931282, std values: 0.8031455209785067, min values: -2.0365598737040225, max values: 3.1485882570365185, median values: -0.2268441455481701, and quantile values: 0.25 -0.815655\n0.50 -0.226844\n0.75 0.350664\nName: 11795, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30117804139941834, std values: 1.095960576074549, min values: -2.6270253558526173, max values: 4.0, median values: -0.1615013758683872, and quantile values: 0.25 -0.887320\n0.50 -0.161501\n0.75 0.451559\nName: 11796, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36258770049892436, std values: 0.9361638595392971, min values: -2.9622221028070275, max values: 6.0, median values: 0.4904583243559408, and quantile values: 0.25 -0.211667\n0.50 0.490458\n0.75 0.997418\nName: 11797, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13673549279737948, std values: 0.7927551333410818, min values: -2.071227793270793, max values: 6.0, median values: -0.2308584874618686, and quantile values: 0.25 -0.668257\n0.50 -0.230858\n0.75 0.309223\nName: 11798, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07999896297406464, std values: 0.8595173733104557, min values: -2.419659473655063, max values: 4.0, median values: -0.1732870014424311, and quantile values: 0.25 -0.716681\n0.50 -0.173287\n0.75 0.501095\nName: 11799, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.016074382609671766, std values: 0.9095623783093936, min values: -2.624430079697818, max values: 3.1888787873512885, median values: 0.0153124564284138, and quantile values: 0.25 -0.653789\n0.50 0.015312\n0.75 0.607154\nName: 11800, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40355840279498245, std values: 0.9189664354027743, min values: -2.555063843266517, max values: 6.0, median values: -0.5228391422689365, and quantile values: 0.25 -1.149629\n0.50 -0.522839\n0.75 0.251755\nName: 11801, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21644578133573847, std values: 0.8108058456316392, min values: -2.066019572692439, max values: 6.0, median values: -0.3238444366688837, and quantile values: 0.25 -0.803062\n0.50 -0.323844\n0.75 0.301115\nName: 11802, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4318307507601694, std values: 0.9912599922192279, min values: -2.684072796644972, max values: 6.0, median values: -0.309371954766454, and quantile values: 0.25 -1.052323\n0.50 -0.309372\n0.75 0.235697\nName: 11803, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18812859026432605, std values: 1.0128221958632218, min values: -2.732564679617164, max values: 3.8226908388056136, median values: -0.3109273449187293, and quantile values: 0.25 -0.980002\n0.50 -0.310927\n0.75 0.482504\nName: 11804, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01311247857031325, std values: 0.8455014840646855, min values: -2.8843374390620142, max values: 6.0, median values: -0.0676936164249237, and quantile values: 0.25 -0.650516\n0.50 -0.067694\n0.75 0.553545\nName: 11805, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.006915059699913769, std values: 0.9263876238539905, min values: -2.5624611946462936, max values: 5.0, median values: 0.0161430676662793, and quantile values: 0.25 -0.626910\n0.50 0.016143\n0.75 0.627758\nName: 11806, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04250003653827018, std values: 0.8737606479654315, min values: -2.1707581145338786, max values: 2.894191510795044, median values: -0.0059760665045276, and quantile values: 0.25 -0.547385\n0.50 -0.005976\n0.75 0.593835\nName: 11807, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3800690979341774, std values: 0.9065147227407532, min values: -2.4960309093026924, max values: 3.721862465295849, median values: 0.4355210055499991, and quantile values: 0.25 -0.273591\n0.50 0.435521\n0.75 1.119335\nName: 11808, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.052111184873077886, std values: 0.9554058770941192, min values: -2.5743883495350026, max values: 5.0, median values: 0.0284519486293995, and quantile values: 0.25 -0.618085\n0.50 0.028452\n0.75 0.745956\nName: 11809, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2206368887528479, std values: 1.3688936990124485, min values: -2.9622221028070275, max values: 6.0, median values: 0.1182585113913374, and quantile values: 0.25 -1.274162\n0.50 0.118259\n0.75 0.855599\nName: 11810, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08319746830487146, std values: 0.9788120711353655, min values: -2.10832026762241, max values: 5.0, median values: -0.1814160342924258, and quantile values: 0.25 -0.859016\n0.50 -0.181416\n0.75 0.607025\nName: 11811, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08992744869839546, std values: 0.8600199852271262, min values: -2.6685266729136536, max values: 6.0, median values: -0.157582880069959, and quantile values: 0.25 -0.682533\n0.50 -0.157583\n0.75 0.413117\nName: 11812, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2545305021841974, std values: 0.8756676624721913, min values: -2.7428415536925543, max values: 3.760287110694155, median values: 0.267192398807636, and quantile values: 0.25 -0.343425\n0.50 0.267192\n0.75 0.827047\nName: 11813, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10069642611235556, std values: 0.7320819569350818, min values: -1.9589311318217832, max values: 5.0, median values: 0.0739014046190032, and quantile values: 0.25 -0.365168\n0.50 0.073901\n0.75 0.499410\nName: 11814, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11956216907587722, std values: 0.8032341269358105, min values: -2.1548749249906303, max values: 5.0, median values: 0.0197745154437252, and quantile values: 0.25 -0.407994\n0.50 0.019775\n0.75 0.602541\nName: 11815, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.011728493726942023, std values: 0.7920699697253741, min values: -2.072108449798908, max values: 2.9534763778843827, median values: 0.019168756955692, and quantile values: 0.25 -0.522537\n0.50 0.019169\n0.75 0.482929\nName: 11816, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24304345607889122, std values: 0.7953551067582083, min values: -2.788272971802125, max values: 3.0, median values: -0.231494884808818, and quantile values: 0.25 -0.817172\n0.50 -0.231495\n0.75 0.266137\nName: 11817, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2071106774411844, std values: 0.9416166168526213, min values: -2.497627580948261, max values: 3.1290445144064547, median values: 0.3428479692276959, and quantile values: 0.25 -0.309251\n0.50 0.342848\n0.75 0.808680\nName: 11818, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.043151450327423346, std values: 0.8686289623071051, min values: -2.1313856548403414, max values: 4.0, median values: -0.0421291458981788, and quantile values: 0.25 -0.626118\n0.50 -0.042129\n0.75 0.462709\nName: 11819, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.047961226050390826, std values: 0.9905657657688662, min values: -2.9622221028070275, max values: 6.0, median values: 0.0042069542043125, and quantile values: 0.25 -0.534417\n0.50 0.004207\n0.75 0.579826\nName: 11820, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10289364366258312, std values: 0.8723108593239691, min values: -2.733804248449497, max values: 3.415255285860171, median values: 0.1125424413387616, and quantile values: 0.25 -0.394979\n0.50 0.112542\n0.75 0.637342\nName: 11821, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18557321596519605, std values: 0.872854428783052, min values: -2.860922438481449, max values: 4.243835016543704, median values: -0.1506947874126009, and quantile values: 0.25 -0.796910\n0.50 -0.150695\n0.75 0.428583\nName: 11822, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04966480592230605, std values: 0.7622206292641501, min values: -2.2065783767301927, max values: 6.0, median values: -0.0112975334554298, and quantile values: 0.25 -0.434326\n0.50 -0.011298\n0.75 0.519293\nName: 11823, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16917833963329823, std values: 1.0087676953671176, min values: -2.673124659932621, max values: 6.0, median values: 0.2084433643529084, and quantile values: 0.25 -0.518103\n0.50 0.208443\n0.75 0.901494\nName: 11824, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.651713253305163, std values: 0.953161929226503, min values: -2.5682675825126706, max values: 5.0, median values: 0.6607119272931693, and quantile values: 0.25 -0.052587\n0.50 0.660712\n0.75 1.367368\nName: 11825, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2821091124593269, std values: 0.715233616316616, min values: -1.9423194494824505, max values: 3.4758930087721422, median values: 0.3455143067595398, and quantile values: 0.25 -0.181848\n0.50 0.345514\n0.75 0.743336\nName: 11826, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34999921218310626, std values: 1.0452928469255083, min values: -2.7428415536925543, max values: 3.784832159836258, median values: 0.281404259356081, and quantile values: 0.25 -0.472544\n0.50 0.281404\n0.75 1.232435\nName: 11827, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2584884087359407, std values: 0.8122383611363547, min values: -2.5953860446419177, max values: 3.0, median values: -0.220051368194049, and quantile values: 0.25 -0.786853\n0.50 -0.220051\n0.75 0.295990\nName: 11828, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2301855399740304, std values: 0.9394468792779148, min values: -2.673549169958716, max values: 6.0, median values: -0.2972952426625761, and quantile values: 0.25 -0.851313\n0.50 -0.297295\n0.75 0.344076\nName: 11829, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2770404885889583, std values: 0.9136435207338401, min values: -2.7648443048846945, max values: 3.415255285860171, median values: 0.3629959713248885, and quantile values: 0.25 -0.392057\n0.50 0.362996\n0.75 0.943152\nName: 11830, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18327193552664733, std values: 0.8859631392206061, min values: -2.2398683045325223, max values: 3.9048392686725855, median values: 0.0608995044306249, and quantile values: 0.25 -0.376028\n0.50 0.060900\n0.75 0.687547\nName: 11831, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03521802051601, std values: 0.8947861395911273, min values: -2.90140378513671, max values: 3.224152805256112, median values: 0.0453728119098157, and quantile values: 0.25 -0.483747\n0.50 0.045373\n0.75 0.617429\nName: 11832, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05096787637014186, std values: 0.8921050373678265, min values: -1.9749387048858984, max values: 5.0, median values: 0.0153124564284138, and quantile values: 0.25 -0.660724\n0.50 0.015312\n0.75 0.683089\nName: 11833, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2526924578702422, std values: 0.9819823848170153, min values: -2.7542003929097176, max values: 5.0, median values: -0.2819200253172231, and quantile values: 0.25 -1.041631\n0.50 -0.281920\n0.75 0.464842\nName: 11834, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07026873994816417, std values: 0.8852990767295962, min values: -2.6603025395856053, max values: 5.0, median values: -0.1427792651553385, and quantile values: 0.25 -0.643319\n0.50 -0.142779\n0.75 0.484603\nName: 11835, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26348854684592643, std values: 1.04083427817732, min values: -2.579294190901303, max values: 4.0, median values: 0.1820159555380861, and quantile values: 0.25 -0.533237\n0.50 0.182016\n0.75 1.140070\nName: 11836, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19996755013312908, std values: 0.9652104485479247, min values: -2.7428415536925543, max values: 3.477886732511886, median values: 0.1419991792490738, and quantile values: 0.25 -0.484098\n0.50 0.141999\n0.75 0.766174\nName: 11837, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10771766921747597, std values: 0.825635382841892, min values: -2.9898739724800576, max values: 2.936634214427119, median values: -0.2026017261880149, and quantile values: 0.25 -0.717659\n0.50 -0.202602\n0.75 0.460014\nName: 11838, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9088614254959393, std values: 1.409998473888924, min values: -2.727901130262228, max values: 4.0, median values: -1.6842246352128796, and quantile values: 0.25 -2.140406\n0.50 -1.684225\n0.75 0.426260\nName: 11839, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6764610288967772, std values: 1.214561350825239, min values: -2.825926939679757, max values: 3.598076523509904, median values: -0.5678476354735671, and quantile values: 0.25 -1.778757\n0.50 -0.567848\n0.75 0.191300\nName: 11840, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.005154126127790567, std values: 0.8589945704765619, min values: -1.9706972559200704, max values: 3.630507857092792, median values: -0.1120726443637541, and quantile values: 0.25 -0.602558\n0.50 -0.112073\n0.75 0.558483\nName: 11841, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7134545093694992, std values: 1.1664248548056446, min values: -3.0148736195915964, max values: 3.0, median values: -0.5440303804987559, and quantile values: 0.25 -1.803403\n0.50 -0.544030\n0.75 0.191432\nName: 11842, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.046252338130711425, std values: 0.9329530621911647, min values: -2.1098479262714123, max values: 6.0, median values: 0.0263318806053676, and quantile values: 0.25 -0.610469\n0.50 0.026332\n0.75 0.594684\nName: 11843, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24214170287980705, std values: 0.7807319398201047, min values: -2.693453432157769, max values: 3.434669824302974, median values: 0.2734193601339329, and quantile values: 0.25 -0.268277\n0.50 0.273419\n0.75 0.739303\nName: 11844, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3302381385935518, std values: 0.8487306378972556, min values: -1.988675962110902, max values: 4.243835016543704, median values: 0.3420668378562614, and quantile values: 0.25 -0.210513\n0.50 0.342067\n0.75 0.847009\nName: 11845, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45550577516450136, std values: 0.9802709022957917, min values: -2.572123985342288, max values: 4.0, median values: 0.4835616604815179, and quantile values: 0.25 -0.257644\n0.50 0.483562\n0.75 1.285506\nName: 11846, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19693879366605382, std values: 0.8258576796668746, min values: -2.042843860363569, max values: 5.0, median values: -0.2585546135828515, and quantile values: 0.25 -0.809539\n0.50 -0.258555\n0.75 0.365269\nName: 11847, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16091484688794497, std values: 0.7718496479921313, min values: -2.6635706018350787, max values: 3.3636961113187773, median values: -0.1542575053853544, and quantile values: 0.25 -0.677120\n0.50 -0.154258\n0.75 0.282284\nName: 11848, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5260737820787572, std values: 0.873727193743314, min values: -2.542426678849397, max values: 4.0, median values: 0.4656316409981932, and quantile values: 0.25 -0.079614\n0.50 0.465632\n0.75 1.103794\nName: 11849, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0962910500984519, std values: 0.8856188107984249, min values: -2.100754849305273, max values: 6.0, median values: -0.1669444533431738, and quantile values: 0.25 -0.776012\n0.50 -0.166944\n0.75 0.508070\nName: 11850, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19566404704110216, std values: 0.9980716666584878, min values: -2.7314147016889114, max values: 3.3337116327022187, median values: -0.2592136458422556, and quantile values: 0.25 -0.983369\n0.50 -0.259214\n0.75 0.587698\nName: 11851, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28037035718936854, std values: 0.8622252820033972, min values: -2.156806272086999, max values: 4.278004674434932, median values: 0.3768214401859938, and quantile values: 0.25 -0.345431\n0.50 0.376821\n0.75 0.938796\nName: 11852, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6109139572583138, std values: 1.0683707867278682, min values: -2.0681185926384043, max values: 3.670892362631932, median values: 0.6695539680638251, and quantile values: 0.25 -0.225042\n0.50 0.669554\n0.75 1.490632\nName: 11853, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1589789726367428, std values: 0.8687391562060914, min values: -2.6820581866633817, max values: 3.379902545505621, median values: 0.2669926233737887, and quantile values: 0.25 -0.331021\n0.50 0.266993\n0.75 0.716131\nName: 11854, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4806336999108977, std values: 0.7882322615689856, min values: -2.12073996675014, max values: 3.0046625681201315, median values: 0.5262024844338504, and quantile values: 0.25 -0.050308\n0.50 0.526202\n0.75 1.076271\nName: 11855, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12159380879112239, std values: 0.7976205975464612, min values: -2.6899145007874274, max values: 3.280245386470253, median values: -0.1688716423765743, and quantile values: 0.25 -0.670140\n0.50 -0.168872\n0.75 0.361344\nName: 11856, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0325146748593508, std values: 1.253978469455706, min values: -2.842989614395848, max values: 5.0, median values: 0.0062868196011319, and quantile values: 0.25 -0.720873\n0.50 0.006287\n0.75 0.816644\nName: 11857, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14602361109377512, std values: 0.8109778032972165, min values: -2.6635706018350787, max values: 3.025409039429847, median values: 0.1393024393154617, and quantile values: 0.25 -0.394859\n0.50 0.139302\n0.75 0.649931\nName: 11858, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3000402923542001, std values: 0.8673651497038636, min values: -2.7542003929097176, max values: 5.0, median values: 0.3218135673264787, and quantile values: 0.25 -0.177538\n0.50 0.321814\n0.75 0.836198\nName: 11859, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08889035925962248, std values: 0.9004209015163028, min values: -2.3808324358856225, max values: 3.721862465295849, median values: 0.0050105359119748, and quantile values: 0.25 -0.571735\n0.50 0.005011\n0.75 0.706684\nName: 11860, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16058955327007524, std values: 0.8606163693643883, min values: -2.6635706018350787, max values: 3.4217036547572275, median values: -0.2613651446041629, and quantile values: 0.25 -0.837977\n0.50 -0.261365\n0.75 0.426139\nName: 11861, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29846180778289244, std values: 1.127451581597996, min values: -2.608390851963037, max values: 5.0, median values: 0.2867882588106194, and quantile values: 0.25 -0.478684\n0.50 0.286788\n0.75 1.187680\nName: 11862, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03174732807271044, std values: 0.8304518025165174, min values: -2.6685266729136536, max values: 5.0, median values: 0.0327159894270962, and quantile values: 0.25 -0.531048\n0.50 0.032716\n0.75 0.579798\nName: 11863, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11862740685685011, std values: 0.853471475765396, min values: -2.419133598913117, max values: 3.8226908388056136, median values: -0.1798604307941077, and quantile values: 0.25 -0.756423\n0.50 -0.179860\n0.75 0.458453\nName: 11864, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27266008043801176, std values: 0.7738694991884516, min values: -2.469941537133514, max values: 4.0, median values: 0.3349130235312548, and quantile values: 0.25 -0.245591\n0.50 0.334913\n0.75 0.791177\nName: 11865, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1773289912997781, std values: 0.8334607998892076, min values: -2.5825978442440407, max values: 6.0, median values: 0.0929687753845907, and quantile values: 0.25 -0.418124\n0.50 0.092969\n0.75 0.725403\nName: 11866, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24881340161073923, std values: 0.8191646023365596, min values: -2.6652153608723106, max values: 3.319774799707247, median values: -0.3068834287199087, and quantile values: 0.25 -0.816974\n0.50 -0.306883\n0.75 0.227200\nName: 11867, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37865280301273135, std values: 0.8696336995046168, min values: -2.537573835824454, max values: 6.0, median values: -0.4256565009154015, and quantile values: 0.25 -1.014510\n0.50 -0.425657\n0.75 0.109623\nName: 11868, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12597201694581628, std values: 0.8988111165635576, min values: -2.4737574649270093, max values: 3.096891534584617, median values: -0.218234046624226, and quantile values: 0.25 -0.829311\n0.50 -0.218234\n0.75 0.507160\nName: 11869, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.370880010780291, std values: 1.0270547402655528, min values: -2.727901130262228, max values: 4.0, median values: -1.7154940200705422, and quantile values: 0.25 -2.140406\n0.50 -1.715494\n0.75 -0.729601\nName: 11870, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.142083191790845, std values: 1.2831971439292738, min values: -3.101800431129944, max values: 6.0, median values: -1.6789767519126872, and quantile values: 0.25 -2.167080\n0.50 -1.678977\n0.75 -0.060017\nName: 11871, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2363117277571863, std values: 1.1906478284075728, min values: -2.8246479422601736, max values: 6.0, median values: -0.3332329194457601, and quantile values: 0.25 -1.106850\n0.50 -0.333233\n0.75 0.553667\nName: 11872, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43401415129283133, std values: 1.3685892937510133, min values: -2.879968592907284, max values: 4.0, median values: -0.2474746451559882, and quantile values: 0.25 -1.806210\n0.50 -0.247475\n0.75 0.541191\nName: 11873, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14562225856978847, std values: 1.0327323243426465, min values: -2.9265160609644223, max values: 6.0, median values: -0.163733845322038, and quantile values: 0.25 -0.771103\n0.50 -0.163734\n0.75 0.477411\nName: 11874, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21653997807925032, std values: 0.8661090462313452, min values: -2.0331762695652107, max values: 6.0, median values: 0.1272159253193056, and quantile values: 0.25 -0.390348\n0.50 0.127216\n0.75 0.800231\nName: 11875, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08821426578315296, std values: 0.8476508267527385, min values: -2.56026492390943, max values: 4.0, median values: 0.1617524882971195, and quantile values: 0.25 -0.425476\n0.50 0.161752\n0.75 0.654141\nName: 11876, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03713540041817941, std values: 0.8055330820976422, min values: -2.219779328182016, max values: 4.0, median values: -0.1279933296234725, and quantile values: 0.25 -0.615457\n0.50 -0.127993\n0.75 0.493579\nName: 11877, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11772803681408561, std values: 1.0257357790578903, min values: -2.0754191617391693, max values: 6.0, median values: 0.0813581774980166, and quantile values: 0.25 -0.699315\n0.50 0.081358\n0.75 0.985655\nName: 11878, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16188160488826484, std values: 0.9919628455558968, min values: -2.30279753278108, max values: 3.455472209455805, median values: -0.156481243691939, and quantile values: 0.25 -0.986640\n0.50 -0.156481\n0.75 0.552884\nName: 11879, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0240629686668285, std values: 0.8709041472109638, min values: -2.023268385245388, max values: 3.4566816047670264, median values: 0.0005232469719976, and quantile values: 0.25 -0.642336\n0.50 0.000523\n0.75 0.663948\nName: 11880, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4655043931221468, std values: 0.838513377985391, min values: -2.2915911556076085, max values: 3.760287110694155, median values: 0.5500223817157679, and quantile values: 0.25 -0.134841\n0.50 0.550022\n0.75 1.115633\nName: 11881, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33562358266787656, std values: 0.9369118146737178, min values: -2.641174291463747, max values: 6.0, median values: 0.4330551138856288, and quantile values: 0.25 -0.228144\n0.50 0.433055\n0.75 1.033111\nName: 11882, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0016766804511519735, std values: 0.8302661060440731, min values: -2.268256830273432, max values: 5.0, median values: -0.0064167039761348, and quantile values: 0.25 -0.545787\n0.50 -0.006417\n0.75 0.492589\nName: 11883, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.012603993617552683, std values: 0.7369221456267303, min values: -2.0397470924909658, max values: 5.0, median values: 0.0070225825513464, and quantile values: 0.25 -0.503642\n0.50 0.007023\n0.75 0.456679\nName: 11884, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.028227218952287435, std values: 0.746596629738914, min values: -2.687282238908512, max values: 3.627976272701048, median values: -0.0035801183455335, and quantile values: 0.25 -0.441601\n0.50 -0.003580\n0.75 0.443149\nName: 11885, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2160737933437324, std values: 0.9987152886643614, min values: -2.638186942019407, max values: 4.278004674434932, median values: -0.3455435400945508, and quantile values: 0.25 -0.951624\n0.50 -0.345544\n0.75 0.458973\nName: 11886, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31354592774741824, std values: 0.7710378522631269, min values: -2.041957069977206, max values: 3.709787027503053, median values: -0.3743795288929703, and quantile values: 0.25 -0.852780\n0.50 -0.374380\n0.75 0.138992\nName: 11887, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49483369595041293, std values: 0.8731808523225565, min values: -2.5046447434119337, max values: 4.0, median values: 0.5570193767967316, and quantile values: 0.25 -0.121943\n0.50 0.557019\n0.75 1.132363\nName: 11888, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20518367629489132, std values: 1.0450812445758835, min values: -2.4366973633934585, max values: 4.0, median values: -0.3500506270141232, and quantile values: 0.25 -1.005820\n0.50 -0.350051\n0.75 0.449518\nName: 11889, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8257640474485474, std values: 0.8909505762336737, min values: -1.8926682107911736, max values: 3.455472209455805, median values: 0.9169271314334848, and quantile values: 0.25 0.240514\n0.50 0.916927\n0.75 1.501417\nName: 11890, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2803981468802603, std values: 0.940452062952258, min values: -2.928515832252388, max values: 5.0, median values: -0.2182058437323393, and quantile values: 0.25 -0.797268\n0.50 -0.218206\n0.75 0.284400\nName: 11891, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0023716094638675887, std values: 0.7454291439603269, min values: -2.90140378513671, max values: 3.000356517591168, median values: -0.0144175471940592, and quantile values: 0.25 -0.480487\n0.50 -0.014418\n0.75 0.425331\nName: 11892, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4494116224757839, std values: 0.8389375942486231, min values: -2.1864201267082906, max values: 3.3014869995452325, median values: -0.5418474666209714, and quantile values: 0.25 -1.052973\n0.50 -0.541847\n0.75 0.044826\nName: 11893, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09996067373171458, std values: 0.8721049782281143, min values: -1.9987231088001387, max values: 3.667275230673496, median values: 0.0052324933578412, and quantile values: 0.25 -0.558553\n0.50 0.005232\n0.75 0.664154\nName: 11894, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4048237116438623, std values: 0.9380418843646381, min values: -2.8282523283494294, max values: 4.0, median values: 0.4835131164946952, and quantile values: 0.25 -0.267655\n0.50 0.483513\n0.75 1.117071\nName: 11895, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04899729602410242, std values: 1.0484189205721062, min values: -2.841647375415054, max values: 5.0, median values: 0.0426437776504276, and quantile values: 0.25 -0.660587\n0.50 0.042644\n0.75 0.779755\nName: 11896, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5503434318147779, std values: 1.0116784598751083, min values: -2.981718296512785, max values: 5.0, median values: -0.4412362551538566, and quantile values: 0.25 -1.187521\n0.50 -0.441236\n0.75 0.140470\nName: 11897, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5430530694789747, std values: 0.8598569680224393, min values: -2.099713839971814, max values: 5.0, median values: -0.6976983605616562, and quantile values: 0.25 -1.206486\n0.50 -0.697698\n0.75 -0.025780\nName: 11898, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6439397302008851, std values: 1.5936550463932584, min values: -2.9109251266226006, max values: 3.9905524164385566, median values: 0.7265858894754952, and quantile values: 0.25 -0.334310\n0.50 0.726586\n0.75 1.906451\nName: 11899, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8155818363135932, std values: 0.8707655031292147, min values: -2.6652153608723106, max values: 5.0, median values: -1.017026447368091, and quantile values: 0.25 -1.455827\n0.50 -1.017026\n0.75 -0.318509\nName: 11900, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2557575494344361, std values: 1.0105065602611611, min values: -2.960014365184806, max values: 6.0, median values: -0.3460405519959416, and quantile values: 0.25 -0.838290\n0.50 -0.346041\n0.75 0.365551\nName: 11901, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5193726207527075, std values: 0.7765455674603077, min values: -2.6412681606926487, max values: 3.784832159836258, median values: 0.5246217156688087, and quantile values: 0.25 0.058941\n0.50 0.524622\n0.75 0.971254\nName: 11902, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.034080419247552354, std values: 0.874991007381714, min values: -2.693453432157769, max values: 3.0, median values: 0.0237686649959288, and quantile values: 0.25 -0.564130\n0.50 0.023769\n0.75 0.519509\nName: 11903, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2934660017846395, std values: 0.8291415730449712, min values: -2.12073996675014, max values: 3.132053530264631, median values: 0.3126041685874789, and quantile values: 0.25 -0.286307\n0.50 0.312604\n0.75 0.923333\nName: 11904, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5862192633694018, std values: 1.0582967814220978, min values: -2.066806605942469, max values: 4.0, median values: 0.6145151647032691, and quantile values: 0.25 -0.198695\n0.50 0.614515\n0.75 1.435777\nName: 11905, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30585685070217367, std values: 0.8065649499159716, min values: -2.8531572940820533, max values: 3.147276669305989, median values: -0.3498496115614535, and quantile values: 0.25 -0.837875\n0.50 -0.349850\n0.75 0.175692\nName: 11906, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07654715431913076, std values: 0.9226418896679188, min values: -2.739804196611005, max values: 6.0, median values: -0.0432646367156053, and quantile values: 0.25 -0.607138\n0.50 -0.043265\n0.75 0.480901\nName: 11907, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16517547861295281, std values: 1.0339369836052614, min values: -2.116008317253216, max values: 4.0, median values: -0.1796645155821498, and quantile values: 0.25 -0.990591\n0.50 -0.179665\n0.75 0.566489\nName: 11908, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23717228346736965, std values: 1.176173337657698, min values: -2.841647375415054, max values: 5.0, median values: 0.0152849138923804, and quantile values: 0.25 -1.210742\n0.50 0.015285\n0.75 0.684598\nName: 11909, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.155864967008259, std values: 0.9588280121870321, min values: -2.9265160609644223, max values: 6.0, median values: -0.0696836040985924, and quantile values: 0.25 -0.665453\n0.50 -0.069684\n0.75 0.420291\nName: 11910, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16818043615062586, std values: 0.8759996039534742, min values: -2.5156802245814003, max values: 4.0, median values: 0.1664192345481085, and quantile values: 0.25 -0.317514\n0.50 0.166419\n0.75 0.685038\nName: 11911, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15266658156879176, std values: 0.9463182178837275, min values: -2.8889090019311845, max values: 5.0, median values: 0.077361927194997, and quantile values: 0.25 -0.456679\n0.50 0.077362\n0.75 0.616552\nName: 11912, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09367913749829347, std values: 1.1975389971482007, min values: -2.6072570508709387, max values: 4.0, median values: 0.1456176325019771, and quantile values: 0.25 -0.603945\n0.50 0.145618\n0.75 0.940980\nName: 11913, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.050867157791338845, std values: 0.9246790269841569, min values: -2.6899145007874274, max values: 4.243835016543704, median values: -0.1708832912689688, and quantile values: 0.25 -0.716867\n0.50 -0.170883\n0.75 0.522920\nName: 11914, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08299637044110554, std values: 0.8314832395809129, min values: -1.9133595148785032, max values: 3.1801075704642923, median values: -0.0245399907557626, and quantile values: 0.25 -0.502313\n0.50 -0.024540\n0.75 0.645996\nName: 11915, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2593128163139099, std values: 0.9641587372270749, min values: -2.2398683045325223, max values: 3.496479817235339, median values: -0.3662543866070546, and quantile values: 0.25 -1.013324\n0.50 -0.366254\n0.75 0.368125\nName: 11916, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1621184389121197, std values: 0.7897595383394997, min values: -2.7428415536925543, max values: 3.0362913622068968, median values: -0.2737110306940538, and quantile values: 0.25 -0.724218\n0.50 -0.273711\n0.75 0.301027\nName: 11917, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2278734850560237, std values: 0.8048182232608171, min values: -2.100754849305273, max values: 3.667275230673496, median values: 0.2689908586990888, and quantile values: 0.25 -0.346535\n0.50 0.268991\n0.75 0.777227\nName: 11918, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4279666894477185, std values: 0.818420562302554, min values: -2.6466193392086392, max values: 4.0, median values: -0.509073159134839, and quantile values: 0.25 -0.949245\n0.50 -0.509073\n0.75 0.071664\nName: 11919, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13405828568450495, std values: 0.8204185839274216, min values: -2.12073996675014, max values: 3.1485882570365185, median values: 0.1884315833064092, and quantile values: 0.25 -0.455915\n0.50 0.188432\n0.75 0.729314\nName: 11920, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10241052082074566, std values: 0.8215556489770092, min values: -1.9918692121535213, max values: 3.528773265847577, median values: 0.0893152256087749, and quantile values: 0.25 -0.435599\n0.50 0.089315\n0.75 0.573769\nName: 11921, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6013462115654101, std values: 1.1921532224668592, min values: -2.944950884974346, max values: 3.9048392686725855, median values: -0.6371997716159388, and quantile values: 0.25 -1.537143\n0.50 -0.637200\n0.75 0.276279\nName: 11922, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0369325026014321, std values: 0.7908482862109099, min values: -2.0933077918561027, max values: 3.477886732511886, median values: 0.0734037319865557, and quantile values: 0.25 -0.489579\n0.50 0.073404\n0.75 0.565293\nName: 11923, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14765041884857105, std values: 0.8497819019271732, min values: -2.6635706018350787, max values: 4.243835016543704, median values: -0.1662275250923953, and quantile values: 0.25 -0.748892\n0.50 -0.166228\n0.75 0.358305\nName: 11924, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10242743043307483, std values: 0.8562019208960416, min values: -2.442256129120324, max values: 6.0, median values: 0.068807028370137, and quantile values: 0.25 -0.503345\n0.50 0.068807\n0.75 0.624164\nName: 11925, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.022413440492153068, std values: 0.9851366661118197, min values: -2.0730520506365586, max values: 3.670892362631932, median values: -0.0993598501863583, and quantile values: 0.25 -0.754005\n0.50 -0.099360\n0.75 0.733558\nName: 11926, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.007411968673327981, std values: 0.9286452000374228, min values: -3.071284484560209, max values: 3.496479817235339, median values: -0.0003308830685585, and quantile values: 0.25 -0.582013\n0.50 -0.000331\n0.75 0.589275\nName: 11927, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11952145106459745, std values: 0.9377504104676562, min values: -2.622408470084112, max values: 3.4758930087721422, median values: -0.2506748844334263, and quantile values: 0.25 -0.807039\n0.50 -0.250675\n0.75 0.525886\nName: 11928, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3079138225048131, std values: 1.0421729021442472, min values: -2.7510671817729784, max values: 6.0, median values: 0.3121003443588903, and quantile values: 0.25 -0.357826\n0.50 0.312100\n0.75 0.978163\nName: 11929, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3064819411201028, std values: 1.074991776422871, min values: -2.607565022042742, max values: 4.0, median values: -0.3025362538959851, and quantile values: 0.25 -1.108987\n0.50 -0.302536\n0.75 0.477472\nName: 11930, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12178772142543788, std values: 0.8434637733771418, min values: -2.5859127503381347, max values: 3.5581019918925243, median values: -0.1004669348358664, and quantile values: 0.25 -0.621639\n0.50 -0.100467\n0.75 0.414107\nName: 11931, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45176737450391913, std values: 1.1615729654967675, min values: -3.1386665508340674, max values: 3.670892362631932, median values: 0.6122282878988572, and quantile values: 0.25 -0.321743\n0.50 0.612228\n0.75 1.376210\nName: 11932, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10928211388284434, std values: 0.7543870711368434, min values: -2.226424194672579, max values: 4.0, median values: -0.1668506031983222, and quantile values: 0.25 -0.604011\n0.50 -0.166851\n0.75 0.329742\nName: 11933, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3912112471832365, std values: 0.8871875582242111, min values: -2.2477784840641744, max values: 4.0, median values: 0.4905383189034314, and quantile values: 0.25 -0.251869\n0.50 0.490538\n0.75 1.080902\nName: 11934, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19835970823944055, std values: 1.0279906974588435, min values: -2.8246479422601736, max values: 5.0, median values: 0.2040131519675528, and quantile values: 0.25 -0.408471\n0.50 0.204013\n0.75 0.871872\nName: 11935, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07933772177797074, std values: 0.8277081214459279, min values: -2.164983805198548, max values: 5.0, median values: 0.0762715275569406, and quantile values: 0.25 -0.485575\n0.50 0.076272\n0.75 0.599984\nName: 11936, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19483968118976558, std values: 1.0561250427809503, min values: -2.3368636386863724, max values: 4.243835016543704, median values: 0.1629244814354345, and quantile values: 0.25 -0.633661\n0.50 0.162924\n0.75 0.954443\nName: 11937, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43014912423245366, std values: 0.9518757242269448, min values: -2.6635706018350787, max values: 3.5021977227593246, median values: 0.4774724860183812, and quantile values: 0.25 -0.184396\n0.50 0.477472\n0.75 1.028222\nName: 11938, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05735873963181645, std values: 0.761552804900232, min values: -1.9140469991395348, max values: 3.236860296211547, median values: -0.0976710344024733, and quantile values: 0.25 -0.564099\n0.50 -0.097671\n0.75 0.387694\nName: 11939, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06918960796635455, std values: 1.147447504151565, min values: -2.92272757463548, max values: 6.0, median values: 0.2742999569931474, and quantile values: 0.25 -0.535683\n0.50 0.274300\n0.75 0.920637\nName: 11940, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10967819093888194, std values: 0.9180176416548308, min values: -2.5689076212724418, max values: 5.0, median values: 0.2078387602778245, and quantile values: 0.25 -0.502688\n0.50 0.207839\n0.75 0.748929\nName: 11941, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3725348366729371, std values: 1.01828274006577, min values: -2.841647375415054, max values: 5.0, median values: -0.4057797802814745, and quantile values: 0.25 -1.262442\n0.50 -0.405780\n0.75 0.356491\nName: 11942, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1859193544946292, std values: 0.8920004432200721, min values: -2.5039074859839925, max values: 4.0, median values: 0.2767057294232616, and quantile values: 0.25 -0.480870\n0.50 0.276706\n0.75 0.867570\nName: 11943, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2529703950962046, std values: 1.2664253465206088, min values: -2.8467638118011016, max values: 5.0, median values: 0.4054409619603636, and quantile values: 0.25 -0.330242\n0.50 0.405441\n0.75 1.054364\nName: 11944, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4155876673939065, std values: 0.9078252980782837, min values: -2.5682675825126706, max values: 5.0, median values: 0.3871361009318261, and quantile values: 0.25 -0.160748\n0.50 0.387136\n0.75 1.028830\nName: 11945, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21628820605062826, std values: 0.9515014024074716, min values: -2.442256129120324, max values: 6.0, median values: 0.2836866687602559, and quantile values: 0.25 -0.513027\n0.50 0.283687\n0.75 0.957923\nName: 11946, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.00788799742158738, std values: 0.7833712716236167, min values: -1.9875529756599963, max values: 5.0, median values: -0.0818193133831871, and quantile values: 0.25 -0.554096\n0.50 -0.081819\n0.75 0.499472\nName: 11947, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5211990042183493, std values: 1.2113679483888073, min values: -2.928515832252388, max values: 5.0, median values: -0.5255067844109697, and quantile values: 0.25 -1.442693\n0.50 -0.525507\n0.75 0.395187\nName: 11948, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.030360166412680856, std values: 0.7610547972174337, min values: -2.196181211030292, max values: 2.640274352610191, median values: -0.1057549860448521, and quantile values: 0.25 -0.563775\n0.50 -0.105755\n0.75 0.472417\nName: 11949, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07873144293511607, std values: 0.7997944702167362, min values: -2.245752867605861, max values: 3.3014869995452325, median values: -0.0825781768999316, and quantile values: 0.25 -0.634362\n0.50 -0.082578\n0.75 0.427557\nName: 11950, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.424254593538954, std values: 0.853133060683992, min values: -2.5832619696830608, max values: 6.0, median values: -0.5483142286236269, and quantile values: 0.25 -1.021424\n0.50 -0.548314\n0.75 0.045566\nName: 11951, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4802946923475129, std values: 0.8661898539350452, min values: -2.90140378513671, max values: 3.241738645014612, median values: -0.6180847924839498, and quantile values: 0.25 -1.169916\n0.50 -0.618085\n0.75 0.080198\nName: 11952, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3174465747794558, std values: 0.7624585518949399, min values: -2.035794058295153, max values: 3.709787027503053, median values: 0.3055269559871831, and quantile values: 0.25 -0.146007\n0.50 0.305527\n0.75 0.725224\nName: 11953, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15770720166746713, std values: 0.884584429085682, min values: -2.6270253558526173, max values: 4.0, median values: -0.0988347285876459, and quantile values: 0.25 -0.688936\n0.50 -0.098835\n0.75 0.393788\nName: 11954, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04564275362548487, std values: 0.9574194495553039, min values: -2.5953860446419177, max values: 3.1175233493066874, median values: 0.2066570003559909, and quantile values: 0.25 -0.462709\n0.50 0.206657\n0.75 0.646490\nName: 11955, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08767254395195104, std values: 0.9126638031450793, min values: -2.5201815750705507, max values: 4.0, median values: 0.0603281949114059, and quantile values: 0.25 -0.459057\n0.50 0.060328\n0.75 0.718149\nName: 11956, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40585426571200445, std values: 0.8368603908121527, min values: -2.6466193392086392, max values: 4.0, median values: -0.4932323497576694, and quantile values: 0.25 -0.958978\n0.50 -0.493232\n0.75 0.072740\nName: 11957, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0005690259275468996, std values: 0.8009761097578695, min values: -2.620939317041317, max values: 3.434669824302974, median values: -0.0235207418840137, and quantile values: 0.25 -0.546747\n0.50 -0.023521\n0.75 0.507914\nName: 11958, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07102611060841091, std values: 0.8168170187605811, min values: -1.9934734841108936, max values: 3.3636961113187773, median values: 0.111960460691306, and quantile values: 0.25 -0.535835\n0.50 0.111960\n0.75 0.620620\nName: 11959, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1163094311905291, std values: 0.8045006517958403, min values: -2.2915911556076085, max values: 3.197902420311553, median values: 0.1069844259631663, and quantile values: 0.25 -0.406878\n0.50 0.106984\n0.75 0.615886\nName: 11960, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5686436102027098, std values: 0.8905545698143328, min values: -2.799990485600992, max values: 5.0, median values: -0.6946406276555581, and quantile values: 0.25 -1.290809\n0.50 -0.694641\n0.75 0.038151\nName: 11961, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21828095143463438, std values: 1.0102495366963726, min values: -2.949186837165601, max values: 4.0, median values: 0.2491689979337809, and quantile values: 0.25 -0.284471\n0.50 0.249169\n0.75 0.775403\nName: 11962, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10971726488933516, std values: 0.7877219135710353, min values: -2.419133598913117, max values: 3.05919958255637, median values: 0.1264498891267431, and quantile values: 0.25 -0.383838\n0.50 0.126450\n0.75 0.587895\nName: 11963, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29732441710939106, std values: 0.8638612981360311, min values: -3.103622965243163, max values: 3.528773265847577, median values: -0.2683414336298249, and quantile values: 0.25 -0.838212\n0.50 -0.268341\n0.75 0.248571\nName: 11964, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37015903134121847, std values: 0.8471570856891854, min values: -1.9340318923923567, max values: 6.0, median values: 0.3076340603885646, and quantile values: 0.25 -0.244697\n0.50 0.307634\n0.75 0.971329\nName: 11965, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3493657488675981, std values: 1.0004158111742547, min values: -2.2915911556076085, max values: 3.1227871431249503, median values: -0.3700734496521894, and quantile values: 0.25 -1.214764\n0.50 -0.370073\n0.75 0.385736\nName: 11966, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.023952087739188024, std values: 0.9555279043238775, min values: -2.673124659932621, max values: 6.0, median values: -0.0397637127779458, and quantile values: 0.25 -0.598805\n0.50 -0.039764\n0.75 0.666072\nName: 11967, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16463407311352782, std values: 1.0912818209935913, min values: -2.769191083399913, max values: 3.709787027503053, median values: -0.179350128201301, and quantile values: 0.25 -0.884308\n0.50 -0.179350\n0.75 0.603912\nName: 11968, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42388879778042554, std values: 0.8746440822404113, min values: -2.789830374413015, max values: 3.5908526919299577, median values: -0.4306668677213091, and quantile values: 0.25 -0.980843\n0.50 -0.430667\n0.75 0.090480\nName: 11969, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5760646332398959, std values: 1.001408718946164, min values: -2.727901130262228, max values: 4.0, median values: 0.7130799874895961, and quantile values: 0.25 0.008674\n0.50 0.713080\n0.75 1.329816\nName: 11970, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13251020497849628, std values: 1.2495144998634455, min values: -2.6800544037614658, max values: 4.0, median values: 0.1683126950336661, and quantile values: 0.25 -1.085124\n0.50 0.168313\n0.75 0.846366\nName: 11971, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16235012387422615, std values: 0.7670662086905432, min values: -2.2915911556076085, max values: 3.0, median values: 0.1368442617134494, and quantile values: 0.25 -0.353506\n0.50 0.136844\n0.75 0.641547\nName: 11972, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.015543971649668246, std values: 0.8054384771546055, min values: -2.788272971802125, max values: 3.438667023696733, median values: -0.0876543207449306, and quantile values: 0.25 -0.527125\n0.50 -0.087654\n0.75 0.481427\nName: 11973, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05170175137347794, std values: 0.8916978199523892, min values: -2.27710446206836, max values: 3.0651860794139534, median values: 0.0015972808366143, and quantile values: 0.25 -0.744743\n0.50 0.001597\n0.75 0.650311\nName: 11974, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0585990040688112, std values: 0.7916889898273257, min values: -2.0475875918146023, max values: 4.0, median values: 0.0562798168001864, and quantile values: 0.25 -0.471170\n0.50 0.056280\n0.75 0.558566\nName: 11975, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6137262765019081, std values: 1.0405796356738775, min values: -2.133376301904917, max values: 5.0, median values: 0.5473222969700533, and quantile values: 0.25 -0.192817\n0.50 0.547322\n0.75 1.474112\nName: 11976, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10929465278562109, std values: 0.9672012452298717, min values: -2.3326126714004825, max values: 3.1801075704642923, median values: 0.140113385434557, and quantile values: 0.25 -0.653585\n0.50 0.140113\n0.75 0.840719\nName: 11977, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06493892948402771, std values: 0.8042714456822055, min values: -2.264034258932616, max values: 3.0, median values: -0.058552472664166, and quantile values: 0.25 -0.631508\n0.50 -0.058552\n0.75 0.424119\nName: 11978, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.007550814234416648, std values: 0.9209630604386213, min values: -2.687115288423959, max values: 5.0, median values: 0.0791203001584284, and quantile values: 0.25 -0.551357\n0.50 0.079120\n0.75 0.621209\nName: 11979, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.006961248955943235, std values: 1.1002565123260426, min values: -3.2372475247926937, max values: 3.2936960268109283, median values: -0.0862308806088183, and quantile values: 0.25 -0.675692\n0.50 -0.086231\n0.75 0.696013\nName: 11980, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2884623868696535, std values: 0.923349950114353, min values: -2.7257183488872623, max values: 5.0, median values: -0.3015185372230261, and quantile values: 0.25 -0.907326\n0.50 -0.301519\n0.75 0.229844\nName: 11981, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0697162962748086, std values: 0.8334450003762712, min values: -2.730840794324401, max values: 3.2701555622463814, median values: -0.1505736871191749, and quantile values: 0.25 -0.608901\n0.50 -0.150574\n0.75 0.463936\nName: 11982, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14160868371155558, std values: 0.8595768433180854, min values: -2.783691185534105, max values: 3.1995118554872866, median values: 0.2259400119171709, and quantile values: 0.25 -0.278032\n0.50 0.225940\n0.75 0.653274\nName: 11983, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.420412429501727, std values: 0.982133465543907, min values: -2.6850842010492566, max values: 6.0, median values: 0.4237275698777984, and quantile values: 0.25 -0.345690\n0.50 0.423728\n0.75 1.152195\nName: 11984, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3843843516543471, std values: 0.8979951641998686, min values: -2.5445249319512966, max values: 3.1395741599540568, median values: -0.5112767918471737, and quantile values: 0.25 -1.010249\n0.50 -0.511277\n0.75 0.120944\nName: 11985, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29869101744106874, std values: 0.8203961167589457, min values: -2.608390851963037, max values: 5.0, median values: -0.3047479600170951, and quantile values: 0.25 -0.752140\n0.50 -0.304748\n0.75 0.169080\nName: 11986, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24986825197148624, std values: 0.8510084710390433, min values: -2.196708653609315, max values: 6.0, median values: -0.3631726853878549, and quantile values: 0.25 -0.862024\n0.50 -0.363173\n0.75 0.286623\nName: 11987, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3715344942966049, std values: 0.7410566595179009, min values: -2.5759052915632985, max values: 3.147276669305989, median values: 0.3945915321135625, and quantile values: 0.25 -0.058695\n0.50 0.394592\n0.75 0.836533\nName: 11988, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34057202005502646, std values: 0.9189791042746405, min values: -2.156806272086999, max values: 3.405671179043623, median values: -0.4844431058991755, and quantile values: 0.25 -1.056431\n0.50 -0.484443\n0.75 0.227976\nName: 11989, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1375601941930204, std values: 1.1008199110632018, min values: -2.7257183488872623, max values: 5.0, median values: 0.2155555434453695, and quantile values: 0.25 -0.523326\n0.50 0.215556\n0.75 0.976653\nName: 11990, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18529730448049972, std values: 1.2463851660237413, min values: -2.688157591415518, max values: 4.0, median values: -0.1818725595424753, and quantile values: 0.25 -1.205312\n0.50 -0.181873\n0.75 0.753164\nName: 11991, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.028926944451685564, std values: 1.0337548093222098, min values: -2.9666813816765707, max values: 4.0, median values: 0.0786894945199246, and quantile values: 0.25 -0.530169\n0.50 0.078689\n0.75 0.620186\nName: 11992, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.023874577789790897, std values: 1.102348576896246, min values: -2.608390851963037, max values: 5.0, median values: 0.1027305246601502, and quantile values: 0.25 -0.680004\n0.50 0.102731\n0.75 0.896958\nName: 11993, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17540400802799036, std values: 0.9504385008698666, min values: -2.6404955031131814, max values: 6.0, median values: 0.1642868096459326, and quantile values: 0.25 -0.568955\n0.50 0.164287\n0.75 0.874774\nName: 11994, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09954492870037285, std values: 0.8091557927952416, min values: -2.1775880058603043, max values: 2.828252328349424, median values: -0.1560352023707842, and quantile values: 0.25 -0.700265\n0.50 -0.156035\n0.75 0.425124\nName: 11995, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04532491164526519, std values: 0.9307359887315984, min values: -2.5631847770497496, max values: 4.0, median values: -0.0428367289966147, and quantile values: 0.25 -0.674178\n0.50 -0.042837\n0.75 0.695513\nName: 11996, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22570587623510338, std values: 0.8592716943002979, min values: -2.867984306888309, max values: 3.1166497049712243, median values: -0.2859510512352484, and quantile values: 0.25 -0.845867\n0.50 -0.285951\n0.75 0.356743\nName: 11997, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9931876652888154, std values: 1.3209622158619523, min values: -2.727901130262228, max values: 4.0, median values: -1.6529432372278574, and quantile values: 0.25 -2.140874\n0.50 -1.652943\n0.75 0.201230\nName: 11998, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03174108402018136, std values: 0.862575778733144, min values: -2.7178891446795728, max values: 3.518664430018096, median values: -0.1098545604761633, and quantile values: 0.25 -0.664568\n0.50 -0.109855\n0.75 0.560611\nName: 11999, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.034346376736489034, std values: 0.9657304537170864, min values: -2.92272757463548, max values: 6.0, median values: 0.1154529204328157, and quantile values: 0.25 -0.588844\n0.50 0.115453\n0.75 0.662575\nName: 12000, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17233478413431585, std values: 0.7719661846147203, min values: -2.8843374390620142, max values: 6.0, median values: 0.188123233763981, and quantile values: 0.25 -0.320422\n0.50 0.188123\n0.75 0.626105\nName: 12001, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.038439752684459844, std values: 0.8860565072254958, min values: -2.5820330744015787, max values: 4.0, median values: -0.0677883716018803, and quantile values: 0.25 -0.613557\n0.50 -0.067788\n0.75 0.544637\nName: 12002, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02046780492517925, std values: 0.8895420029597961, min values: -2.088894678224596, max values: 3.9048392686725855, median values: -0.0546927912959116, and quantile values: 0.25 -0.629258\n0.50 -0.054693\n0.75 0.531650\nName: 12003, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.004929484710251071, std values: 0.8135459724512029, min values: -2.4564928597243227, max values: 4.0, median values: -0.0989447249098117, and quantile values: 0.25 -0.558811\n0.50 -0.098945\n0.75 0.501363\nName: 12004, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6666950649958933, std values: 0.920342974954801, min values: -3.236860296211546, max values: 2.98373867666567, median values: -0.7266160383494947, and quantile values: 0.25 -1.291218\n0.50 -0.726616\n0.75 -0.084951\nName: 12005, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11008024068631614, std values: 0.9620480260748098, min values: -2.841647375415054, max values: 5.0, median values: -0.109355866332571, and quantile values: 0.25 -0.856281\n0.50 -0.109356\n0.75 0.582274\nName: 12006, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6584978984524191, std values: 1.0618992525084352, min values: -2.825926939679757, max values: 3.362228250221886, median values: -0.766973665240197, and quantile values: 0.25 -1.466658\n0.50 -0.766974\n0.75 0.058941\nName: 12007, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2081900257717652, std values: 0.9900351894253124, min values: -2.6270253558526173, max values: 4.0, median values: -0.1919648730014692, and quantile values: 0.25 -0.812199\n0.50 -0.191965\n0.75 0.366935\nName: 12008, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.002022433717192036, std values: 0.8416284773306413, min values: -2.2915911556076085, max values: 3.163266084685921, median values: 0.0241543260795385, and quantile values: 0.25 -0.604810\n0.50 0.024154\n0.75 0.617851\nName: 12009, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4230231774140809, std values: 0.9550318264439165, min values: -2.815821936576896, max values: 3.3014869995452325, median values: -0.4464937774335322, and quantile values: 0.25 -1.040873\n0.50 -0.446494\n0.75 0.234480\nName: 12010, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39317265107038835, std values: 1.0987407515669922, min values: -2.6652153608723106, max values: 5.0, median values: 0.5638398819297648, and quantile values: 0.25 -0.247465\n0.50 0.563840\n0.75 1.168505\nName: 12011, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.043558794784068905, std values: 0.8671433155561777, min values: -2.1238235090034925, max values: 5.0, median values: 0.1024323142644507, and quantile values: 0.25 -0.557910\n0.50 0.102432\n0.75 0.624825\nName: 12012, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19452265924299583, std values: 0.7803441723433753, min values: -2.3808324358856225, max values: 3.0, median values: 0.2411191812554565, and quantile values: 0.25 -0.339294\n0.50 0.241119\n0.75 0.698496\nName: 12013, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40062196295337515, std values: 0.9128808200979466, min values: -2.9622221028070275, max values: 6.0, median values: -0.3559366293621159, and quantile values: 0.25 -0.946052\n0.50 -0.355937\n0.75 0.143671\nName: 12014, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3777031476286043, std values: 1.0021818603337327, min values: -2.093540956409567, max values: 5.0, median values: 0.3602457389817086, and quantile values: 0.25 -0.397602\n0.50 0.360246\n0.75 1.172541\nName: 12015, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7182961105410801, std values: 0.8743160739816377, min values: -2.7884838087481176, max values: 6.0, median values: 0.8047145886504231, and quantile values: 0.25 0.127594\n0.50 0.804715\n0.75 1.369223\nName: 12016, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5404201399530156, std values: 0.8378949967421604, min values: -2.264034258932616, max values: 3.2906806286429298, median values: 0.6210210012165298, and quantile values: 0.25 0.014679\n0.50 0.621021\n0.75 1.093422\nName: 12017, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07914170419071943, std values: 0.7472391014687708, min values: -2.3808324358856225, max values: 3.397048482165858, median values: -0.0993598501863583, and quantile values: 0.25 -0.571508\n0.50 -0.099360\n0.75 0.382030\nName: 12018, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27705849437130303, std values: 0.8038884965211317, min values: -2.8282523283494294, max values: 4.243835016543704, median values: 0.3326640595177396, and quantile values: 0.25 -0.234409\n0.50 0.332664\n0.75 0.778047\nName: 12019, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07027499724070915, std values: 1.0618406398917806, min values: -2.8246479422601736, max values: 5.0, median values: -0.0760542205263027, and quantile values: 0.25 -0.791694\n0.50 -0.076054\n0.75 0.665541\nName: 12020, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4982367723875588, std values: 0.8284991360626236, min values: -2.300042081328127, max values: 4.0, median values: 0.4920315856842702, and quantile values: 0.25 -0.075371\n0.50 0.492032\n0.75 1.099462\nName: 12021, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16982232384838947, std values: 0.7629480766827252, min values: -2.142854198138545, max values: 5.0, median values: 0.2084433643529084, and quantile values: 0.25 -0.295937\n0.50 0.208443\n0.75 0.650277\nName: 12022, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07583355748591268, std values: 0.768568279379351, min values: -2.536941606705235, max values: 4.0, median values: 0.1346736101926476, and quantile values: 0.25 -0.456588\n0.50 0.134674\n0.75 0.585680\nName: 12023, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4904164171469802, std values: 0.8241876287344443, min values: -2.169311742921253, max values: 6.0, median values: -0.6143724402024913, and quantile values: 0.25 -1.075761\n0.50 -0.614372\n0.75 -0.031912\nName: 12024, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15649920740489023, std values: 0.9606768576187934, min values: -2.6685266729136536, max values: 6.0, median values: -0.1877868728423533, and quantile values: 0.25 -0.874452\n0.50 -0.187787\n0.75 0.445155\nName: 12025, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46458192478183474, std values: 0.8842207420784673, min values: -2.3326126714004825, max values: 5.0, median values: -0.6212881945816855, and quantile values: 0.25 -1.151094\n0.50 -0.621288\n0.75 0.080695\nName: 12026, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3673908937164149, std values: 0.7513360884444247, min values: -1.9347472913707768, max values: 5.0, median values: 0.4085733674010973, and quantile values: 0.25 -0.103983\n0.50 0.408573\n0.75 0.876161\nName: 12027, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.016337673928147566, std values: 0.8149387715624792, min values: -2.799990485600992, max values: 5.0, median values: 0.0644486127661039, and quantile values: 0.25 -0.536796\n0.50 0.064449\n0.75 0.528320\nName: 12028, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22919694581520433, std values: 0.839454764495703, min values: -2.109016651938832, max values: 6.0, median values: -0.2262507869834789, and quantile values: 0.25 -0.793723\n0.50 -0.226251\n0.75 0.275278\nName: 12029, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25704254762474404, std values: 1.1554587119816333, min values: -2.622709665346679, max values: 3.709787027503053, median values: 0.1734448686606632, and quantile values: 0.25 -0.499300\n0.50 0.173445\n0.75 1.011825\nName: 12030, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03703497310429382, std values: 0.8324215714826974, min values: -2.090851036172633, max values: 3.721862465295849, median values: 0.001323532636497, and quantile values: 0.25 -0.549005\n0.50 0.001324\n0.75 0.556012\nName: 12031, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03664175585683533, std values: 0.7459227996344091, min values: -2.0648102585467867, max values: 3.3483277116524426, median values: -0.0454411512994274, and quantile values: 0.25 -0.523295\n0.50 -0.045441\n0.75 0.385676\nName: 12032, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7371120507304209, std values: 1.1474887870740642, min values: -2.788272971802125, max values: 3.867701659180865, median values: -0.7110699916759081, and quantile values: 0.25 -1.663459\n0.50 -0.711070\n0.75 0.089484\nName: 12033, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.013525127118332666, std values: 0.8355324404963071, min values: -2.4176069991382847, max values: 6.0, median values: -0.0591206834280774, and quantile values: 0.25 -0.584134\n0.50 -0.059121\n0.75 0.468418\nName: 12034, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1887992482223189, std values: 1.0009092387344902, min values: -2.688157591415518, max values: 5.0, median values: 0.0202088767804781, and quantile values: 0.25 -0.561828\n0.50 0.020209\n0.75 0.880680\nName: 12035, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.056966955155128327, std values: 1.1577876942231646, min values: -2.733804248449497, max values: 4.278004674434932, median values: -0.0204216312194354, and quantile values: 0.25 -0.649393\n0.50 -0.020422\n0.75 0.717812\nName: 12036, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6875594129597506, std values: 1.1702539138365948, min values: -2.419659473655063, max values: 4.0, median values: 0.7365187294632616, and quantile values: 0.25 -0.218817\n0.50 0.736519\n0.75 1.583797\nName: 12037, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09027950457538977, std values: 0.9833941192455566, min values: -2.6023368942328267, max values: 3.1175233493066874, median values: 0.105007284398069, and quantile values: 0.25 -0.709002\n0.50 0.105007\n0.75 0.900750\nName: 12038, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21866816824592364, std values: 0.9173278696415337, min values: -2.4737574649270093, max values: 3.258347009006034, median values: 0.243236159499661, and quantile values: 0.25 -0.466329\n0.50 0.243236\n0.75 0.926759\nName: 12039, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0185594088503419, std values: 0.713738313589065, min values: -2.2161166709808824, max values: 6.0, median values: -0.0434775474100626, and quantile values: 0.25 -0.470570\n0.50 -0.043478\n0.75 0.397511\nName: 12040, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.48149435459075757, std values: 1.1145642275187102, min values: -2.5859127503381347, max values: 3.147276669305989, median values: 0.5181226968819358, and quantile values: 0.25 -0.323322\n0.50 0.518123\n0.75 1.352472\nName: 12041, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11152836919056305, std values: 0.8049822976729647, min values: -2.12366050359468, max values: 3.528773265847577, median values: -0.1524639490655563, and quantile values: 0.25 -0.633560\n0.50 -0.152464\n0.75 0.393717\nName: 12042, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4329986356782073, std values: 1.2389644736840428, min values: -2.541693081833126, max values: 3.569037956734876, median values: 0.4032352627974845, and quantile values: 0.25 -0.589415\n0.50 0.403235\n0.75 1.423837\nName: 12043, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1263508347067637, std values: 0.9239276696190031, min values: -2.103263298070576, max values: 6.0, median values: 0.1709501659646849, and quantile values: 0.25 -0.585474\n0.50 0.170950\n0.75 0.857543\nName: 12044, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27674341198486896, std values: 0.7798212679739622, min values: -2.006496142360635, max values: 5.0, median values: 0.3601096901406227, and quantile values: 0.25 -0.228510\n0.50 0.360110\n0.75 0.778494\nName: 12045, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16973099483868584, std values: 1.0275900194872503, min values: -2.1565644134229154, max values: 3.8226908388056136, median values: -0.2141182490826408, and quantile values: 0.25 -0.994196\n0.50 -0.214118\n0.75 0.615258\nName: 12046, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18000265494414863, std values: 0.9202560285702449, min values: -2.642042398333877, max values: 3.0, median values: 0.18128802194083, and quantile values: 0.25 -0.321814\n0.50 0.181288\n0.75 0.778121\nName: 12047, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.014426971436926839, std values: 0.7999690288816932, min values: -2.5501488616953263, max values: 3.0, median values: 0.07809681353828, and quantile values: 0.25 -0.510711\n0.50 0.078097\n0.75 0.501095\nName: 12048, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02673124617666398, std values: 1.1414825022892081, min values: -2.162123508609361, max values: 3.349054967837474, median values: -0.0714978468696854, and quantile values: 0.25 -0.908932\n0.50 -0.071498\n0.75 0.841660\nName: 12049, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1303827560932075, std values: 0.8495980449487144, min values: -2.0531592997310795, max values: 3.141939528112806, median values: -0.1865257082636724, and quantile values: 0.25 -0.802312\n0.50 -0.186526\n0.75 0.476035\nName: 12050, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07978094001614697, std values: 0.8890589252029829, min values: -2.058629196027331, max values: 3.0, median values: 0.0447663313641977, and quantile values: 0.25 -0.640104\n0.50 0.044766\n0.75 0.724525\nName: 12051, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10482696347012846, std values: 0.8589776184569456, min values: -2.841647375415054, max values: 3.258347009006034, median values: 0.1925277666641136, and quantile values: 0.25 -0.366735\n0.50 0.192528\n0.75 0.675873\nName: 12052, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44993399503652287, std values: 0.8851499200981708, min values: -2.3479910955456123, max values: 4.0, median values: -0.6063428827638121, and quantile values: 0.25 -1.116660\n0.50 -0.606343\n0.75 0.099194\nName: 12053, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7415904010742398, std values: 1.0281066646885255, min values: -2.0704209263614266, max values: 3.405671179043623, median values: 0.6861175569001582, and quantile values: 0.25 0.076532\n0.50 0.686118\n0.75 1.416428\nName: 12054, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2614147031658471, std values: 1.0632286947855099, min values: -2.679056533720636, max values: 5.0, median values: -0.1204960420514709, and quantile values: 0.25 -0.958379\n0.50 -0.120496\n0.75 0.502542\nName: 12055, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26194834376880194, std values: 1.7543018038576261, min values: -2.8834699678265463, max values: 5.0, median values: -0.0200670409966235, and quantile values: 0.25 -2.102258\n0.50 -0.020067\n0.75 1.295582\nName: 12056, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3107386474314612, std values: 0.8713290453672674, min values: -2.0513495754327686, max values: 4.0, median values: -0.403209626688422, and quantile values: 0.25 -0.985787\n0.50 -0.403210\n0.75 0.273613\nName: 12057, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24095859823911514, std values: 0.989507215112489, min values: -2.196708653609315, max values: 6.0, median values: -0.4426330131622785, and quantile values: 0.25 -0.968038\n0.50 -0.442633\n0.75 0.328666\nName: 12058, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22802537404714268, std values: 1.2342660377306145, min values: -3.0148736195915964, max values: 3.455472209455805, median values: -0.1189467889577096, and quantile values: 0.25 -1.101970\n0.50 -0.118947\n0.75 0.719647\nName: 12059, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07053658857440898, std values: 1.013263823918677, min values: -2.5689076212724418, max values: 5.0, median values: -0.0004406290232024, and quantile values: 0.25 -0.708273\n0.50 -0.000441\n0.75 0.797048\nName: 12060, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6041018028418323, std values: 0.9226407193735555, min values: -2.0446222759012818, max values: 4.0, median values: 0.7247225131561783, and quantile values: 0.25 -0.086277\n0.50 0.724723\n0.75 1.335330\nName: 12061, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.063622327038861, std values: 0.8722794447202652, min values: -2.1232984465035774, max values: 3.1485882570365185, median values: -0.0417341711396497, and quantile values: 0.25 -0.662447\n0.50 -0.041734\n0.75 0.488986\nName: 12062, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6492903701370542, std values: 1.1236808852825357, min values: -2.684072796644972, max values: 6.0, median values: 0.8381439239342123, and quantile values: 0.25 0.055238\n0.50 0.838144\n0.75 1.509712\nName: 12063, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23967614729345724, std values: 1.0004378071103361, min values: -2.196181211030292, max values: 5.0, median values: 0.2037115820775836, and quantile values: 0.25 -0.475453\n0.50 0.203712\n0.75 0.854748\nName: 12064, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05751701397932486, std values: 0.7417543688559208, min values: -2.072108449798908, max values: 2.7939007019027, median values: 0.0722899589275817, and quantile values: 0.25 -0.463525\n0.50 0.072290\n0.75 0.547165\nName: 12065, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2739281780090932, std values: 0.9698536959083812, min values: -2.620939317041317, max values: 4.0, median values: 0.3616086848075574, and quantile values: 0.25 -0.468267\n0.50 0.361609\n0.75 1.033986\nName: 12066, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18720473413411232, std values: 0.85919168073308, min values: -2.537573835824454, max values: 6.0, median values: 0.108053848402152, and quantile values: 0.25 -0.394264\n0.50 0.108054\n0.75 0.756533\nName: 12067, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24482268486092357, std values: 0.7373361322351855, min values: -2.8843374390620142, max values: 6.0, median values: -0.3369032325892682, and quantile values: 0.25 -0.757745\n0.50 -0.336903\n0.75 0.219278\nName: 12068, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12034622504630928, std values: 0.9572794955670493, min values: -2.740813841730953, max values: 3.630507857092792, median values: -0.0883661072395948, and quantile values: 0.25 -0.634436\n0.50 -0.088366\n0.75 0.456068\nName: 12069, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4508023053647659, std values: 1.0145899951597641, min values: -2.623568901859613, max values: 4.0, median values: -0.5016041610803389, and quantile values: 0.25 -1.278592\n0.50 -0.501604\n0.75 0.278892\nName: 12070, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35217914587441185, std values: 0.8908674398624226, min values: -2.3254925951767884, max values: 4.0, median values: 0.3071721127220603, and quantile values: 0.25 -0.211028\n0.50 0.307172\n0.75 0.919753\nName: 12071, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13737324335441908, std values: 0.7823367361057666, min values: -2.4176069991382847, max values: 6.0, median values: -0.2115547613482535, and quantile values: 0.25 -0.691214\n0.50 -0.211555\n0.75 0.403180\nName: 12072, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0250145501089847, std values: 0.8889698009706958, min values: -2.067884917892885, max values: 5.0, median values: -0.0517353652065354, and quantile values: 0.25 -0.630840\n0.50 -0.051735\n0.75 0.644889\nName: 12073, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5281277760265433, std values: 0.8756082663534196, min values: -2.9898739724800576, max values: 3.3760121766849016, median values: 0.6306384066326464, and quantile values: 0.25 -0.088247\n0.50 0.630638\n0.75 1.165994\nName: 12074, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41671230189494807, std values: 0.9470800793294647, min values: -2.72346435408924, max values: 4.0, median values: 0.4093108148718344, and quantile values: 0.25 -0.300335\n0.50 0.409311\n0.75 1.151323\nName: 12075, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.468184185984565, std values: 1.2005689236801882, min values: -2.510124273981921, max values: 3.784832159836258, median values: 0.5067301266852142, and quantile values: 0.25 -0.460712\n0.50 0.506730\n0.75 1.432543\nName: 12076, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04474034082556143, std values: 0.8421830256506185, min values: -2.264034258932616, max values: 3.397048482165858, median values: -0.1755326122781805, and quantile values: 0.25 -0.631244\n0.50 -0.175533\n0.75 0.494274\nName: 12077, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08527035883910743, std values: 0.7813022848265482, min values: -2.1095929744148467, max values: 2.962222102807026, median values: 0.1128813166783006, and quantile values: 0.25 -0.423366\n0.50 0.112881\n0.75 0.577842\nName: 12078, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1766759844368589, std values: 1.3407900058262756, min values: -2.933035609461076, max values: 5.0, median values: 0.2529774335928312, and quantile values: 0.25 -0.671718\n0.50 0.252977\n0.75 1.171118\nName: 12079, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4756946786108157, std values: 0.9790116425224974, min values: -2.5953860446419177, max values: 5.0, median values: -0.6003138688312043, and quantile values: 0.25 -1.244559\n0.50 -0.600314\n0.75 0.154223\nName: 12080, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4058245843311127, std values: 0.9550819130194146, min values: -2.0696154051194315, max values: 6.0, median values: 0.4267027030612855, and quantile values: 0.25 -0.305061\n0.50 0.426703\n0.75 1.148776\nName: 12081, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08110641280169797, std values: 0.7986399640444746, min values: -2.2915911556076085, max values: 3.477886732511886, median values: 0.0676936164249239, and quantile values: 0.25 -0.432301\n0.50 0.067694\n0.75 0.591040\nName: 12082, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5554705580699011, std values: 1.018387126875051, min values: -2.673549169958716, max values: 6.0, median values: 0.6231263516704237, and quantile values: 0.25 -0.061838\n0.50 0.623126\n0.75 1.251460\nName: 12083, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19772300328196318, std values: 0.9060275597612827, min values: -2.1695974540436334, max values: 4.0, median values: -0.3188818099973126, and quantile values: 0.25 -0.886545\n0.50 -0.318882\n0.75 0.440646\nName: 12084, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31046448297236057, std values: 0.8767900243688771, min values: -2.6685266729136536, max values: 5.0, median values: -0.3496737346362022, and quantile values: 0.25 -0.910794\n0.50 -0.349674\n0.75 0.233559\nName: 12085, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07076522149427915, std values: 0.8216606282406653, min values: -2.6685266729136536, max values: 5.0, median values: 0.1224421100881412, and quantile values: 0.25 -0.503911\n0.50 0.122442\n0.75 0.636255\nName: 12086, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3039075942497643, std values: 1.3955878162361126, min values: -2.869671295224012, max values: 6.0, median values: 0.531904192635458, and quantile values: 0.25 -0.592032\n0.50 0.531904\n0.75 1.385722\nName: 12087, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12797907963060254, std values: 0.9127448556476974, min values: -1.9526678640320208, max values: 4.0, median values: -0.199460065879495, and quantile values: 0.25 -0.886407\n0.50 -0.199460\n0.75 0.508370\nName: 12088, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03694891338028526, std values: 0.8797781057116861, min values: -2.510124273981921, max values: 3.132053530264631, median values: 0.0188614528448288, and quantile values: 0.25 -0.580581\n0.50 0.018861\n0.75 0.495607\nName: 12089, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13421624728990286, std values: 0.9027829426174834, min values: -2.1754302383979485, max values: 6.0, median values: -0.1187107301256064, and quantile values: 0.25 -0.836296\n0.50 -0.118711\n0.75 0.569761\nName: 12090, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2772624699619043, std values: 0.7409013112238867, min values: -2.2423374092797945, max values: 4.026668017837955, median values: -0.3012004960696571, and quantile values: 0.25 -0.785861\n0.50 -0.301200\n0.75 0.167282\nName: 12091, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6932472251652182, std values: 1.065928076514586, min values: -1.9126729337496509, max values: 3.496479817235339, median values: 0.6625750956459556, and quantile values: 0.25 -0.122853\n0.50 0.662575\n0.75 1.621036\nName: 12092, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10521133775506847, std values: 1.0197563278076764, min values: -2.5122218748354936, max values: 3.569037956734876, median values: -0.0024510013162768, and quantile values: 0.25 -0.789654\n0.50 -0.002451\n0.75 0.635519\nName: 12093, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11938031577957717, std values: 0.7621490429685139, min values: -2.90140378513671, max values: 2.7727068387367733, median values: 0.1818479623151702, and quantile values: 0.25 -0.369036\n0.50 0.181848\n0.75 0.600512\nName: 12094, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20653097410348237, std values: 0.8155685343538585, min values: -2.098259549910112, max values: 5.0, median values: -0.2913604573345152, and quantile values: 0.25 -0.776811\n0.50 -0.291360\n0.75 0.285533\nName: 12095, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05618491720920612, std values: 0.7774138042583473, min values: -2.072108449798908, max values: 5.0, median values: 0.0830161265217043, and quantile values: 0.25 -0.465776\n0.50 0.083016\n0.75 0.583829\nName: 12096, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19487827740370614, std values: 0.8538488229971817, min values: -3.1175233493066874, max values: 2.835011869533198, median values: 0.2426280169832915, and quantile values: 0.25 -0.276995\n0.50 0.242628\n0.75 0.751556\nName: 12097, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46265358801644213, std values: 0.8520452754436196, min values: -2.590643619371846, max values: 4.0, median values: -0.5350717042603967, and quantile values: 0.25 -1.030736\n0.50 -0.535072\n0.75 0.043690\nName: 12098, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4764289201276497, std values: 0.8498586315681286, min values: -1.936080272882755, max values: 6.0, median values: 0.571734809635916, and quantile values: 0.25 -0.112986\n0.50 0.571735\n0.75 1.080112\nName: 12099, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.023604246723531244, std values: 1.285076059196656, min values: -2.93129584560762, max values: 6.0, median values: 0.0303254310751754, and quantile values: 0.25 -0.851750\n0.50 0.030325\n0.75 0.980654\nName: 12100, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20478570080859948, std values: 0.8144075139917716, min values: -2.589966702820638, max values: 6.0, median values: 0.1203336448620756, and quantile values: 0.25 -0.309645\n0.50 0.120334\n0.75 0.680483\nName: 12101, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.014374206140831932, std values: 1.1713143978401839, min values: -2.8246479422601736, max values: 5.0, median values: 0.1832904326613321, and quantile values: 0.25 -0.696224\n0.50 0.183290\n0.75 0.848114\nName: 12102, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2725489751573126, std values: 0.9003515669303407, min values: -2.139311372893009, max values: 6.0, median values: 0.3407682984815514, and quantile values: 0.25 -0.346041\n0.50 0.340768\n0.75 0.912367\nName: 12103, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3535236869746575, std values: 1.058048332606086, min values: -2.891990595045606, max values: 6.0, median values: -0.2244147047199784, and quantile values: 0.25 -0.921100\n0.50 -0.224415\n0.75 0.322568\nName: 12104, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07307338797428235, std values: 1.4462969656749818, min values: -2.87684958111886, max values: 3.415255285860171, median values: -0.0684334907913495, and quantile values: 0.25 -1.339052\n0.50 -0.068433\n0.75 1.104402\nName: 12105, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12332038978585032, std values: 0.8344259671572766, min values: -2.693453432157769, max values: 3.0, median values: -0.1092666407982943, and quantile values: 0.25 -0.624193\n0.50 -0.109267\n0.75 0.428764\nName: 12106, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03884232883829808, std values: 0.9855793777098866, min values: -2.442256129120324, max values: 6.0, median values: -0.1128575311473785, and quantile values: 0.25 -0.826248\n0.50 -0.112858\n0.75 0.775068\nName: 12107, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06750727880545214, std values: 0.844384153604239, min values: -2.732564679617164, max values: 3.0, median values: 0.0300223606944321, and quantile values: 0.25 -0.492931\n0.50 0.030022\n0.75 0.598324\nName: 12108, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21804452732374285, std values: 0.7829464948852826, min values: -1.918518074400259, max values: 3.2936960268109283, median values: 0.2475233843133545, and quantile values: 0.25 -0.304838\n0.50 0.247523\n0.75 0.710188\nName: 12109, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1307471434177178, std values: 0.7942072687497045, min values: -2.102258330765142, max values: 3.598076523509904, median values: 0.1000794412711282, and quantile values: 0.25 -0.386270\n0.50 0.100079\n0.75 0.626742\nName: 12110, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.007329699022241191, std values: 1.006472940496572, min values: -2.642042398333877, max values: 3.709787027503053, median values: 0.0623618627846937, and quantile values: 0.25 -0.704388\n0.50 0.062362\n0.75 0.713559\nName: 12111, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.164034770234438, std values: 0.7879691531666495, min values: -2.15085577507779, max values: 3.3636961113187773, median values: 0.1904575886308341, and quantile values: 0.25 -0.392806\n0.50 0.190458\n0.75 0.694791\nName: 12112, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04787356199892656, std values: 0.9574010271104926, min values: -2.580492024304656, max values: 3.721862465295849, median values: -0.0746181065424582, and quantile values: 0.25 -0.705178\n0.50 -0.074618\n0.75 0.672382\nName: 12113, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6441949111036616, std values: 0.8899564890485375, min values: -2.1831252502065794, max values: 3.8226908388056136, median values: 0.6363578999509193, and quantile values: 0.25 0.039811\n0.50 0.636358\n0.75 1.226481\nName: 12114, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.054151569270720984, std values: 1.07698381780695, min values: -2.869671295224012, max values: 6.0, median values: -0.0411002234298625, and quantile values: 0.25 -0.819266\n0.50 -0.041100\n0.75 0.726924\nName: 12115, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0905195783304722, std values: 0.7667171300864334, min values: -2.1307031986737024, max values: 3.3483277116524426, median values: 0.0581131039573191, and quantile values: 0.25 -0.401749\n0.50 0.058113\n0.75 0.580050\nName: 12116, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39785765870390305, std values: 0.9047454179983664, min values: -2.4960309093026924, max values: 3.379902545505621, median values: -0.4939531495956745, and quantile values: 0.25 -1.133037\n0.50 -0.493953\n0.75 0.189038\nName: 12117, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15052090596479528, std values: 0.8640729946626236, min values: -2.558791007225312, max values: 3.216771431244405, median values: -0.0993044991617321, and quantile values: 0.25 -0.685595\n0.50 -0.099304\n0.75 0.374456\nName: 12118, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22224582813565744, std values: 0.9795842285769348, min values: -2.15141271142167, max values: 4.243835016543704, median values: -0.2445026633101982, and quantile values: 0.25 -1.020961\n0.50 -0.244503\n0.75 0.474924\nName: 12119, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4503638629054404, std values: 0.9730673687372199, min values: -2.9029979285382743, max values: 6.0, median values: 0.5987976277848599, and quantile values: 0.25 0.005370\n0.50 0.598798\n0.75 1.055517\nName: 12120, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3942062754810009, std values: 1.0341942921080483, min values: -2.081017018698733, max values: 3.0, median values: 0.4227711513073202, and quantile values: 0.25 -0.442603\n0.50 0.422771\n0.75 1.250827\nName: 12121, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 1.1894847365495491, std values: 1.1293869411732247, min values: -2.0365598737040225, max values: 3.760287110694155, median values: 1.2475261370061836, and quantile values: 0.25 0.358054\n0.50 1.247526\n0.75 2.116504\nName: 12122, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30539140097842193, std values: 0.870990852227549, min values: -2.4737574649270093, max values: 3.191712471143802, median values: -0.3726559484731612, and quantile values: 0.25 -0.987627\n0.50 -0.372656\n0.75 0.300830\nName: 12123, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09021777695655955, std values: 1.0424834914291097, min values: -2.8531572940820533, max values: 3.455472209455805, median values: 0.0455831052686837, and quantile values: 0.25 -0.758514\n0.50 0.045583\n0.75 0.970901\nName: 12124, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19902480481312734, std values: 0.9666928851275608, min values: -2.8350118695332047, max values: 5.0, median values: -0.1724372635028286, and quantile values: 0.25 -0.696715\n0.50 -0.172437\n0.75 0.438615\nName: 12125, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20045836902752814, std values: 0.8625603598823041, min values: -2.087432639025188, max values: 4.0, median values: 0.2855325226326688, and quantile values: 0.25 -0.430969\n0.50 0.285533\n0.75 0.826914\nName: 12126, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17331495891605886, std values: 0.853521913832349, min values: -2.117042895443173, max values: 4.0, median values: 0.2201804667183521, and quantile values: 0.25 -0.425693\n0.50 0.220180\n0.75 0.804753\nName: 12127, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08261880651065515, std values: 0.8188466207430994, min values: -2.1286446072196226, max values: 6.0, median values: 0.0958456568206638, and quantile values: 0.25 -0.465562\n0.50 0.095846\n0.75 0.598534\nName: 12128, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34033493934593995, std values: 0.7832502078533436, min values: -2.476285024008804, max values: 3.4566816047670264, median values: 0.3470055839979923, and quantile values: 0.25 -0.140448\n0.50 0.347006\n0.75 0.829511\nName: 12129, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13722681104153592, std values: 1.0233692184155843, min values: -2.5820330744015787, max values: 4.0, median values: -0.0290029622172201, and quantile values: 0.25 -0.797008\n0.50 -0.029003\n0.75 0.623160\nName: 12130, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3325634455991077, std values: 0.817083752817859, min values: -2.3184884946917497, max values: 6.0, median values: -0.4477415855431131, and quantile values: 0.25 -0.904102\n0.50 -0.447742\n0.75 0.144365\nName: 12131, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05616166587078473, std values: 0.9425640756700467, min values: -2.5953860446419177, max values: 3.415255285860171, median values: 0.1592418202672502, and quantile values: 0.25 -0.565402\n0.50 0.159242\n0.75 0.738977\nName: 12132, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2883060170119828, std values: 0.9559184959002099, min values: -2.673549169958716, max values: 6.0, median values: 0.4487340909850567, and quantile values: 0.25 -0.309967\n0.50 0.448734\n0.75 0.974136\nName: 12133, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1284652601899191, std values: 0.9556351543131438, min values: -2.58513369695146, max values: 4.0, median values: -0.1022662106618508, and quantile values: 0.25 -0.674534\n0.50 -0.102266\n0.75 0.488986\nName: 12134, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1330322426071094, std values: 0.8714643531807366, min values: -2.841647375415054, max values: 3.455472209455805, median values: -0.1045365394294124, and quantile values: 0.25 -0.625026\n0.50 -0.104537\n0.75 0.388585\nName: 12135, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3045798519764997, std values: 0.8352161838328395, min values: -2.27710446206836, max values: 3.5908526919299577, median values: 0.364132188384281, and quantile values: 0.25 -0.278827\n0.50 0.364132\n0.75 0.959053\nName: 12136, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0533721733570616, std values: 0.9111231746477688, min values: -2.0801885729223746, max values: 3.867701659180865, median values: -0.0738540064387705, and quantile values: 0.25 -0.612803\n0.50 -0.073854\n0.75 0.634874\nName: 12137, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04354240395492266, std values: 1.034695429064346, min values: -2.3483339333676243, max values: 5.0, median values: 0.0203507129708835, and quantile values: 0.25 -0.768429\n0.50 0.020351\n0.75 0.810294\nName: 12138, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1801269390090071, std values: 0.7598740915118883, min values: -2.0972650777209885, max values: 5.0, median values: 0.2303540467559524, and quantile values: 0.25 -0.316123\n0.50 0.230354\n0.75 0.676150\nName: 12139, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23636880835655202, std values: 0.8921408976652502, min values: -2.525881048269423, max values: 3.0, median values: 0.287182308376291, and quantile values: 0.25 -0.451559\n0.50 0.287182\n0.75 0.927195\nName: 12140, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24842037280031157, std values: 1.0310957347119318, min values: -3.0687217584296813, max values: 3.3636961113187773, median values: 0.3207696373690102, and quantile values: 0.25 -0.452618\n0.50 0.320770\n0.75 1.047666\nName: 12141, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6986040874089481, std values: 0.9432961833633087, min values: -2.4536054974529624, max values: 6.0, median values: 0.7692059827845575, and quantile values: 0.25 0.018223\n0.50 0.769206\n0.75 1.429323\nName: 12142, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08112794267806016, std values: 0.7737105278810665, min values: -2.3771558481240653, max values: 4.0, median values: -0.0233279137972561, and quantile values: 0.25 -0.615058\n0.50 -0.023328\n0.75 0.455960\nName: 12143, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.9760123094570775, std values: 0.9700470090284125, min values: -1.9482339443504304, max values: 3.627976272701048, median values: 1.0865727600266637, and quantile values: 0.25 0.367468\n0.50 1.086573\n0.75 1.688634\nName: 12144, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11011977490539819, std values: 0.8559120062663306, min values: -2.525881048269423, max values: 3.20751086257212, median values: -0.0075394783526561, and quantile values: 0.25 -0.510819\n0.50 -0.007539\n0.75 0.650369\nName: 12145, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3970220899811392, std values: 0.9119240054474317, min values: -2.45229857681487, max values: 3.0, median values: -0.5254751677277081, and quantile values: 0.25 -1.086999\n0.50 -0.525475\n0.75 0.198814\nName: 12146, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10489339712770701, std values: 0.9507334720158244, min values: -2.0632349629260616, max values: 3.9905524164385566, median values: 0.0736239641056812, and quantile values: 0.25 -0.663655\n0.50 0.073624\n0.75 0.820075\nName: 12147, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11190241317330367, std values: 0.7895494018771506, min values: -2.589966702820638, max values: 6.0, median values: -0.1938280671582595, and quantile values: 0.25 -0.685525\n0.50 -0.193828\n0.75 0.383601\nName: 12148, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17372424059662195, std values: 1.317049954189048, min values: -2.9265160609644223, max values: 6.0, median values: -0.3167711312016849, and quantile values: 0.25 -1.292458\n0.50 -0.316771\n0.75 0.820047\nName: 12149, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14543535293618892, std values: 1.015484154963044, min values: -2.572123985342288, max values: 5.0, median values: -0.280888568241702, and quantile values: 0.25 -0.890756\n0.50 -0.280889\n0.75 0.561745\nName: 12150, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11878580801215918, std values: 0.7801094588456161, min values: -2.226424194672579, max values: 4.0, median values: 0.158970959795288, and quantile values: 0.25 -0.402466\n0.50 0.158971\n0.75 0.647864\nName: 12151, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09409467893280311, std values: 0.8995222452582605, min values: -3.062179113294277, max values: 3.2696814875916886, median values: 0.0382026496107884, and quantile values: 0.25 -0.528101\n0.50 0.038203\n0.75 0.702998\nName: 12152, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.023451345308023248, std values: 0.93682233254072, min values: -2.710223074556336, max values: 4.0, median values: -0.0464348484742682, and quantile values: 0.25 -0.748205\n0.50 -0.046435\n0.75 0.665390\nName: 12153, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43185890117916204, std values: 0.9304570070701781, min values: -2.158148574998896, max values: 5.0, median values: 0.524084552980103, and quantile values: 0.25 -0.187378\n0.50 0.524085\n0.75 1.087853\nName: 12154, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15973138833717762, std values: 0.9209966529559986, min values: -2.58513369695146, max values: 3.0, median values: -0.2316648226045145, and quantile values: 0.25 -0.738037\n0.50 -0.231665\n0.75 0.364511\nName: 12155, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2556453595255949, std values: 0.8735610870541497, min values: -2.8663054413554843, max values: 6.0, median values: -0.1983576117580374, and quantile values: 0.25 -0.816050\n0.50 -0.198358\n0.75 0.286106\nName: 12156, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4123055276304127, std values: 0.9520247488210547, min values: -2.444028468893056, max values: 6.0, median values: -0.3911704067882059, and quantile values: 0.25 -1.230699\n0.50 -0.391170\n0.75 0.267117\nName: 12157, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1558132626789254, std values: 0.8211878218329396, min values: -2.104667097879677, max values: 4.0, median values: -0.1662754518833064, and quantile values: 0.25 -0.740784\n0.50 -0.166275\n0.75 0.362113\nName: 12158, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24507365832180728, std values: 1.2607252000013514, min values: -2.6270253558526173, max values: 4.0, median values: -0.3139371132696192, and quantile values: 0.25 -1.158368\n0.50 -0.313937\n0.75 0.611830\nName: 12159, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3589061014845975, std values: 0.8027482775063913, min values: -2.096768618411309, max values: 4.0, median values: 0.4166285533312173, and quantile values: 0.25 -0.161278\n0.50 0.416629\n0.75 0.857941\nName: 12160, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0018670648559175696, std values: 0.7519726486344992, min values: -2.147228856409125, max values: 3.3636961113187773, median values: -0.0271846498843391, and quantile values: 0.25 -0.491818\n0.50 -0.027185\n0.75 0.444456\nName: 12161, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40782543221105505, std values: 1.0514285105780374, min values: -2.7648443048846945, max values: 3.247416277295021, median values: 0.4197242852026644, and quantile values: 0.25 -0.398804\n0.50 0.419724\n0.75 1.284070\nName: 12162, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06726276871570598, std values: 0.9710793146980691, min values: -2.5293911731823453, max values: 4.243835016543704, median values: -0.0235184998550358, and quantile values: 0.25 -0.693257\n0.50 -0.023518\n0.75 0.588517\nName: 12163, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18820158094288367, std values: 0.810164868324525, min values: -2.564449278715455, max values: 4.278004674434932, median values: 0.193779902049668, and quantile values: 0.25 -0.326603\n0.50 0.193780\n0.75 0.696718\nName: 12164, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13950973321539564, std values: 1.0183876839182942, min values: -2.9029979285382743, max values: 3.2266531185902125, median values: 0.3456020076505041, and quantile values: 0.25 -0.362365\n0.50 0.345602\n0.75 0.822729\nName: 12165, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08161484856731376, std values: 0.7899686873663728, min values: -2.212004168819108, max values: 3.0089865423056903, median values: 0.102659246276522, and quantile values: 0.25 -0.403448\n0.50 0.102659\n0.75 0.580871\nName: 12166, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3208954810151481, std values: 0.8682054375590089, min values: -2.6412681606926487, max values: 3.0, median values: 0.2877132467237339, and quantile values: 0.25 -0.236353\n0.50 0.287713\n0.75 0.830979\nName: 12167, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1035971191063579, std values: 0.8634072156757691, min values: -2.102760548955074, max values: 5.0, median values: -0.0713874081343625, and quantile values: 0.25 -0.732321\n0.50 -0.071387\n0.75 0.460133\nName: 12168, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5505185544251721, std values: 1.134360759530583, min values: -2.525362520654854, max values: 5.0, median values: 0.4101194798309424, and quantile values: 0.25 -0.276308\n0.50 0.410119\n0.75 1.294747\nName: 12169, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07308829748849184, std values: 0.9023466086055475, min values: -2.876502173242568, max values: 2.909025160955454, median values: 0.1305248908133998, and quantile values: 0.25 -0.526446\n0.50 0.130525\n0.75 0.740353\nName: 12170, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07410321778534726, std values: 0.9671962121883585, min values: -2.5832619696830608, max values: 6.0, median values: 0.0661149472544859, and quantile values: 0.25 -0.600389\n0.50 0.066115\n0.75 0.689835\nName: 12171, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11627355111701519, std values: 0.6999461026673806, min values: -2.841647375415054, max values: 5.0, median values: 0.0703658909311669, and quantile values: 0.25 -0.313143\n0.50 0.070366\n0.75 0.527071\nName: 12172, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.021123965254504475, std values: 1.3371443897738688, min values: -2.673549169958716, max values: 6.0, median values: -0.1686202344751483, and quantile values: 0.25 -1.158742\n0.50 -0.168620\n0.75 0.998196\nName: 12173, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47737739227305553, std values: 0.9780065499420354, min values: -2.065607809839877, max values: 6.0, median values: 0.5002376798452318, and quantile values: 0.25 -0.279383\n0.50 0.500238\n0.75 1.286513\nName: 12174, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2757131921075183, std values: 0.8779382654571756, min values: -2.0044388437594938, max values: 3.096891534584617, median values: 0.2505327954358013, and quantile values: 0.25 -0.297026\n0.50 0.250533\n0.75 0.801521\nName: 12175, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20102039245318024, std values: 0.8507536589915039, min values: -2.097362986026047, max values: 6.0, median values: 0.2749348486122914, and quantile values: 0.25 -0.335613\n0.50 0.274935\n0.75 0.727519\nName: 12176, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01866258565406243, std values: 0.7890253820604048, min values: -2.222049826555007, max values: 3.2266531185902125, median values: -0.0223128235289401, and quantile values: 0.25 -0.487023\n0.50 -0.022313\n0.75 0.465000\nName: 12177, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32261201548528046, std values: 0.8824340675797535, min values: -2.688157591415518, max values: 4.0, median values: -0.364344241587245, and quantile values: 0.25 -0.855556\n0.50 -0.364344\n0.75 0.254599\nName: 12178, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3926843118625244, std values: 1.0467896340339327, min values: -2.947062251106049, max values: 3.0838352979250487, median values: 0.601237474103795, and quantile values: 0.25 -0.207107\n0.50 0.601237\n0.75 1.170244\nName: 12179, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31162462723747975, std values: 0.7995771865078662, min values: -2.0401882913920346, max values: 6.0, median values: -0.3970389999075731, and quantile values: 0.25 -0.921857\n0.50 -0.397039\n0.75 0.235981\nName: 12180, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06397508985181379, std values: 0.8553484957309855, min values: -2.060842074965388, max values: 6.0, median values: -0.0086739719061221, and quantile values: 0.25 -0.571263\n0.50 -0.008674\n0.75 0.636964\nName: 12181, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20729698710663522, std values: 0.8936032854206055, min values: -2.837386543755612, max values: 4.243835016543704, median values: -0.1896393717296553, and quantile values: 0.25 -0.729882\n0.50 -0.189639\n0.75 0.320016\nName: 12182, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4027405347075741, std values: 0.8031915593529833, min values: -2.196708653609315, max values: 6.0, median values: 0.4448690163009131, and quantile values: 0.25 -0.093882\n0.50 0.444869\n0.75 0.920676\nName: 12183, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34215834085981633, std values: 1.5654115843019967, min values: -2.8563982925340614, max values: 5.0, median values: 0.390424300686453, and quantile values: 0.25 -0.720432\n0.50 0.390424\n0.75 1.623907\nName: 12184, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24348164612100479, std values: 0.9033151062251675, min values: -2.0373124907218165, max values: 3.4217036547572275, median values: 0.1599670205686452, and quantile values: 0.25 -0.458055\n0.50 0.159967\n0.75 0.882757\nName: 12185, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0031850886453725327, std values: 1.168378253268424, min values: -2.769191083399913, max values: 3.455472209455805, median values: 0.2142195745590054, and quantile values: 0.25 -0.560860\n0.50 0.214220\n0.75 0.811016\nName: 12186, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3570542832853264, std values: 0.8298971798795312, min values: -2.1227739687253626, max values: 4.0, median values: 0.3105126363655813, and quantile values: 0.25 -0.184284\n0.50 0.310513\n0.75 0.882074\nName: 12187, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5448082536184494, std values: 0.8727020838834779, min values: -2.1017566422541964, max values: 2.905256439312199, median values: -0.6814342629995526, and quantile values: 0.25 -1.257364\n0.50 -0.681434\n0.75 0.046624\nName: 12188, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06909727884192615, std values: 1.0062854796821101, min values: -2.162123508609361, max values: 3.379902545505621, median values: -0.1909630215643614, and quantile values: 0.25 -0.808222\n0.50 -0.190963\n0.75 0.623093\nName: 12189, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13735898092024856, std values: 1.101683406380502, min values: -2.2301025966815566, max values: 6.0, median values: 0.0351198423031204, and quantile values: 0.25 -0.693408\n0.50 0.035120\n0.75 0.813847\nName: 12190, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35429419359440506, std values: 0.8454169658360604, min values: -2.264034258932616, max values: 3.132053530264631, median values: 0.3729602927732678, and quantile values: 0.25 -0.196092\n0.50 0.372960\n0.75 0.929450\nName: 12191, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47400639214144735, std values: 1.0550272625127661, min values: -2.7257183488872623, max values: 5.0, median values: 0.3135007621997818, and quantile values: 0.25 -0.273318\n0.50 0.313501\n0.75 1.160821\nName: 12192, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33689892679265115, std values: 0.8351397650454356, min values: -2.419659473655063, max values: 4.0, median values: -0.4480546074532789, and quantile values: 0.25 -0.977141\n0.50 -0.448055\n0.75 0.200668\nName: 12193, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18242454639059058, std values: 1.4924745541984903, min values: -2.960014365184806, max values: 6.0, median values: 0.0192787132907257, and quantile values: 0.25 -1.591620\n0.50 0.019279\n0.75 0.930909\nName: 12194, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2159033965045545, std values: 0.796864674096943, min values: -2.7648443048846945, max values: 3.598076523509904, median values: -0.2616026845412146, and quantile values: 0.25 -0.757052\n0.50 -0.261603\n0.75 0.226533\nName: 12195, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07127583804138438, std values: 0.8308545871627367, min values: -2.737201088051888, max values: 3.0, median values: -0.0974780849938665, and quantile values: 0.25 -0.705512\n0.50 -0.097478\n0.75 0.515856\nName: 12196, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06460434312736217, std values: 0.8964298576054175, min values: -2.104667097879677, max values: 4.0, median values: -0.0018671269376469, and quantile values: 0.25 -0.601436\n0.50 -0.001867\n0.75 0.709549\nName: 12197, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.136933381795715, std values: 0.9986852048216618, min values: -2.558791007225312, max values: 3.0, median values: 2.363450446795241e-05, and quantile values: 0.25 -0.751775\n0.50 0.000024\n0.75 0.571865\nName: 12198, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22268896619015915, std values: 0.8295825341094694, min values: -2.047302085077502, max values: 3.5021977227593246, median values: 0.2428227456324007, and quantile values: 0.25 -0.335913\n0.50 0.242823\n0.75 0.784151\nName: 12199, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03989384900902273, std values: 1.0624520768144912, min values: -2.6800544037614658, max values: 4.0, median values: 0.0924709323661163, and quantile values: 0.25 -0.528038\n0.50 0.092471\n0.75 0.723235\nName: 12200, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11400202518367938, std values: 1.0061061444680242, min values: -2.094787931821739, max values: 5.0, median values: -0.1430018403389346, and quantile values: 0.25 -0.923459\n0.50 -0.143002\n0.75 0.605202\nName: 12201, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21528945696105567, std values: 0.9241735304933841, min values: -2.641174291463747, max values: 6.0, median values: 0.2549630650421668, and quantile values: 0.25 -0.288230\n0.50 0.254963\n0.75 0.800155\nName: 12202, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19155114592466402, std values: 0.8111685930936922, min values: -2.0210150587876674, max values: 2.873899048542533, median values: 0.0953753437472153, and quantile values: 0.25 -0.402164\n0.50 0.095375\n0.75 0.760141\nName: 12203, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4013647880826428, std values: 0.8309790622968959, min values: -2.607565022042742, max values: 4.0, median values: -0.366911591476445, and quantile values: 0.25 -0.971026\n0.50 -0.366912\n0.75 0.145510\nName: 12204, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10453464731800503, std values: 0.708692872770023, min values: -2.783691185534105, max values: 3.477886732511886, median values: -0.1781534008420435, and quantile values: 0.25 -0.622098\n0.50 -0.178153\n0.75 0.364050\nName: 12205, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5012945869809446, std values: 0.7348773109449043, min values: -2.7510671817729784, max values: 6.0, median values: 0.5816865228923122, and quantile values: 0.25 0.047882\n0.50 0.581687\n0.75 0.964119\nName: 12206, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4477088918249567, std values: 0.8282083746057609, min values: -2.0023899940804872, max values: 3.0, median values: 0.4979441588610396, and quantile values: 0.25 -0.172560\n0.50 0.497944\n0.75 1.107054\nName: 12207, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.010046472416277886, std values: 1.3144410884211992, min values: -2.887007053971579, max values: 3.4217036547572275, median values: 0.3002795063065087, and quantile values: 0.25 -0.77921\n0.50 0.30028\n0.75 1.05725\nName: 12208, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6819126334230751, std values: 0.9095549672100166, min values: -2.7884838087481176, max values: 6.0, median values: 0.6578150250690663, and quantile values: 0.25 0.139206\n0.50 0.657815\n0.75 1.239640\nName: 12209, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23595237194256408, std values: 0.8085799850316756, min values: -2.58513369695146, max values: 4.0, median values: -0.2736128855452592, and quantile values: 0.25 -0.704600\n0.50 -0.273613\n0.75 0.245194\nName: 12210, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5513461531531131, std values: 0.8444837285930542, min values: -2.73836943861057, max values: 3.434669824302974, median values: 0.5457874641407962, and quantile values: 0.25 -0.001985\n0.50 0.545787\n0.75 1.116557\nName: 12211, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.633505916764351, std values: 0.9968531000715122, min values: -2.9666813816765707, max values: 4.0, median values: -0.6302924346924661, and quantile values: 0.25 -1.247432\n0.50 -0.630292\n0.75 0.034100\nName: 12212, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04137172198318507, std values: 1.0355690540142486, min values: -2.5953860446419177, max values: 3.2701555622463814, median values: 0.0275376777190192, and quantile values: 0.25 -0.731302\n0.50 0.027538\n0.75 0.731004\nName: 12213, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6016358649522425, std values: 0.844943576605552, min values: -2.6652153608723106, max values: 5.0, median values: -0.6911551795206521, and quantile values: 0.25 -1.155515\n0.50 -0.691155\n0.75 -0.078789\nName: 12214, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09824503406547018, std values: 0.849656276714422, min values: -2.7428415536925543, max values: 3.867701659180865, median values: -0.2042381045711548, and quantile values: 0.25 -0.713808\n0.50 -0.204238\n0.75 0.444765\nName: 12215, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04504110238900193, std values: 1.1405679607589063, min values: -2.6652153608723106, max values: 3.670892362631932, median values: 0.0777390928695983, and quantile values: 0.25 -0.732263\n0.50 0.077739\n0.75 0.900006\nName: 12216, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11310831165083766, std values: 0.7780507712788886, min values: -2.739804196611005, max values: 6.0, median values: -0.0540860295990975, and quantile values: 0.25 -0.566428\n0.50 -0.054086\n0.75 0.343074\nName: 12217, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4010743760958322, std values: 1.1154281902906356, min values: -2.662750916816848, max values: 5.0, median values: 0.4229003744440402, and quantile values: 0.25 -0.527405\n0.50 0.422900\n0.75 1.390982\nName: 12218, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3283382802431995, std values: 1.0881826843012292, min values: -3.071284484560209, max values: 3.784832159836258, median values: 0.5132156448470744, and quantile values: 0.25 -0.441896\n0.50 0.513216\n0.75 1.203457\nName: 12219, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5995899707821223, std values: 1.0175501450454665, min values: -2.196708653609315, max values: 6.0, median values: 0.5906794449097454, and quantile values: 0.25 -0.165628\n0.50 0.590679\n0.75 1.386874\nName: 12220, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31248739758258104, std values: 1.1272294451699099, min values: -2.6800544037614658, max values: 4.0, median values: 0.403158355265247, and quantile values: 0.25 -0.480964\n0.50 0.403158\n0.75 1.209368\nName: 12221, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30074506528176037, std values: 0.8875666051885854, min values: -2.6466193392086392, max values: 4.0, median values: -0.2679059696190562, and quantile values: 0.25 -0.850465\n0.50 -0.267906\n0.75 0.251044\nName: 12222, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21786494406008236, std values: 0.8463248929255828, min values: -2.572123985342288, max values: 4.0, median values: 0.2845286602026318, and quantile values: 0.25 -0.402825\n0.50 0.284529\n0.75 0.869699\nName: 12223, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.744917604297767, std values: 1.5630249762534396, min values: -2.727901130262228, max values: 4.0, median values: -1.5870360561246777, and quantile values: 0.25 -2.140406\n0.50 -1.587036\n0.75 0.781593\nName: 12224, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07649485287529778, std values: 0.9236486469555214, min values: -2.083073092108871, max values: 3.760287110694155, median values: -0.1780414826405562, and quantile values: 0.25 -0.809635\n0.50 -0.178041\n0.75 0.517265\nName: 12225, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10200936827421457, std values: 0.9766951304015508, min values: -2.5631960397140583, max values: 4.0, median values: 0.1802802723631577, and quantile values: 0.25 -0.420085\n0.50 0.180280\n0.75 0.689152\nName: 12226, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21451873749604697, std values: 0.9821547686856672, min values: -2.7510671817729784, max values: 6.0, median values: 0.3127455753022919, and quantile values: 0.25 -0.455426\n0.50 0.312746\n0.75 0.953043\nName: 12227, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39179832110263246, std values: 0.9374593275466191, min values: -2.6635706018350787, max values: 3.260388056018088, median values: 0.3349801247281103, and quantile values: 0.25 -0.265917\n0.50 0.334980\n0.75 1.059130\nName: 12228, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43547761171922833, std values: 0.8131470846257682, min values: -2.687282238908512, max values: 3.415255285860171, median values: -0.4806230320471668, and quantile values: 0.25 -1.034739\n0.50 -0.480623\n0.75 0.064459\nName: 12229, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07515706777027521, std values: 0.9661800814697923, min values: -2.0884920198234647, max values: 3.110498035652072, median values: -0.0890419631754722, and quantile values: 0.25 -0.845622\n0.50 -0.089042\n0.75 0.625227\nName: 12230, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.002588172742978163, std values: 1.1206471607367765, min values: -2.769191083399913, max values: 3.405671179043623, median values: 0.2350406942489048, and quantile values: 0.25 -0.473205\n0.50 0.235041\n0.75 0.798222\nName: 12231, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2103341157953416, std values: 1.0506790765348348, min values: -2.916688926075616, max values: 6.0, median values: -0.0401906750670129, and quantile values: 0.25 -0.713568\n0.50 -0.040191\n0.75 0.457849\nName: 12232, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.016040712800036286, std values: 1.055406760892694, min values: -2.64479559868397, max values: 6.0, median values: 0.1722247743078195, and quantile values: 0.25 -0.638651\n0.50 0.172225\n0.75 0.736663\nName: 12233, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.012258993821018081, std values: 1.1251507188257126, min values: -2.981718296512785, max values: 5.0, median values: -0.0039656714748613, and quantile values: 0.25 -0.776855\n0.50 -0.003966\n0.75 0.924619\nName: 12234, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10574764015045542, std values: 0.8538663075173183, min values: -2.442256129120324, max values: 6.0, median values: 0.1401645334832375, and quantile values: 0.25 -0.471586\n0.50 0.140165\n0.75 0.692386\nName: 12235, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3641714428631064, std values: 0.8193099440614138, min values: -2.240740315114864, max values: 4.243835016543704, median values: 0.4300963774231487, and quantile values: 0.25 -0.199804\n0.50 0.430096\n0.75 0.948549\nName: 12236, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4201196651778409, std values: 1.009116682106346, min values: -2.458914737258892, max values: 6.0, median values: 0.4185623264400891, and quantile values: 0.25 -0.349610\n0.50 0.418562\n0.75 1.268576\nName: 12237, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12533363227009608, std values: 1.0171998558702846, min values: -2.5293911731823453, max values: 3.4758930087721422, median values: 0.0168824008284214, and quantile values: 0.25 -0.553186\n0.50 0.016882\n0.75 0.786161\nName: 12238, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10232079565476043, std values: 0.7966074981975378, min values: -2.140943184359666, max values: 5.0, median values: -0.1661556356219006, and quantile values: 0.25 -0.608015\n0.50 -0.166156\n0.75 0.339819\nName: 12239, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10899815979765226, std values: 1.4488416086744336, min values: -2.688157591415518, max values: 4.0, median values: 0.0806811063097432, and quantile values: 0.25 -0.985521\n0.50 0.080681\n0.75 1.301398\nName: 12240, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03201968184838355, std values: 1.1981420133830483, min values: -2.6668673616981367, max values: 4.0, median values: 0.1277712062351944, and quantile values: 0.25 -0.643793\n0.50 0.127771\n0.75 0.977807\nName: 12241, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40326010069857804, std values: 1.1751985694187894, min values: -2.841647375415054, max values: 4.243835016543704, median values: 0.4534963032374218, and quantile values: 0.25 -0.307612\n0.50 0.453496\n0.75 1.207661\nName: 12242, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08362635029383604, std values: 1.3180675801277493, min values: -2.622709665346679, max values: 3.670892362631932, median values: 0.342738481946684, and quantile values: 0.25 -0.707787\n0.50 0.342738\n0.75 1.010524\nName: 12243, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2592307662389331, std values: 0.8744994270058098, min values: -2.476285024008804, max values: 3.1801075704642923, median values: 0.3021404176281413, and quantile values: 0.25 -0.352597\n0.50 0.302140\n0.75 0.839778\nName: 12244, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07776102938114118, std values: 0.8302471089319157, min values: -2.117042895443173, max values: 5.0, median values: -0.147420687858212, and quantile values: 0.25 -0.637571\n0.50 -0.147421\n0.75 0.432509\nName: 12245, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16376115526939983, std values: 0.9713157265319016, min values: -2.673124659932621, max values: 6.0, median values: -0.2570741767439787, and quantile values: 0.25 -0.790520\n0.50 -0.257074\n0.75 0.448577\nName: 12246, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15764606928451066, std values: 0.8062091747957542, min values: -2.081628667506599, max values: 3.0651860794139534, median values: 0.174404656347779, and quantile values: 0.25 -0.402761\n0.50 0.174405\n0.75 0.726909\nName: 12247, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.027524837168213398, std values: 0.810659035762233, min values: -2.245752867605861, max values: 3.132053530264631, median values: -0.0498421643871211, and quantile values: 0.25 -0.533218\n0.50 -0.049842\n0.75 0.547898\nName: 12248, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.758207956711594, std values: 0.9448333264345633, min values: -2.688157591415518, max values: 3.0, median values: -0.943409773729209, and quantile values: 0.25 -1.490921\n0.50 -0.943410\n0.75 -0.186470\nName: 12249, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06583012006133429, std values: 0.886732900590861, min values: -2.5743883495350026, max values: 5.0, median values: -0.096293771258458, and quantile values: 0.25 -0.617352\n0.50 -0.096294\n0.75 0.466022\nName: 12250, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.398207949891998, std values: 1.0233369485036554, min values: -2.5293911731823453, max values: 3.025409039429847, median values: 0.4247220166990686, and quantile values: 0.25 -0.165053\n0.50 0.424722\n0.75 1.141138\nName: 12251, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2813499673181589, std values: 0.7830417586585515, min values: -2.085975048264995, max values: 6.0, median values: -0.3351257712643604, and quantile values: 0.25 -0.823550\n0.50 -0.335126\n0.75 0.157095\nName: 12252, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03578985600987475, std values: 0.7421705791515385, min values: -2.070696498607387, max values: 5.0, median values: 0.0158357668438993, and quantile values: 0.25 -0.440144\n0.50 0.015836\n0.75 0.485054\nName: 12253, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40381057787667746, std values: 1.113443003450463, min values: -2.6404955031131814, max values: 5.0, median values: 0.5782652729465726, and quantile values: 0.25 -0.249368\n0.50 0.578265\n0.75 1.199663\nName: 12254, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1687003842667788, std values: 0.7803671638036418, min values: -2.1313856548403414, max values: 5.0, median values: -0.157846113157671, and quantile values: 0.25 -0.703330\n0.50 -0.157846\n0.75 0.327947\nName: 12255, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3657240525476075, std values: 0.8767370431976549, min values: -2.662750916816848, max values: 5.0, median values: -0.4469312998521246, and quantile values: 0.25 -1.005300\n0.50 -0.446931\n0.75 0.170744\nName: 12256, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2742376007933992, std values: 1.0926696131734341, min values: -2.5631960397140583, max values: 4.0, median values: 0.1790859397906327, and quantile values: 0.25 -0.609072\n0.50 0.179086\n0.75 1.185037\nName: 12257, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4443172615544351, std values: 1.1292701260613422, min values: -2.610097161345549, max values: 4.0, median values: -0.4875587102476375, and quantile values: 0.25 -1.409415\n0.50 -0.487559\n0.75 0.392568\nName: 12258, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.024063243447155786, std values: 1.3527936409571266, min values: -2.944950884974346, max values: 3.784832159836258, median values: 0.1369947594932115, and quantile values: 0.25 -0.912618\n0.50 0.136995\n0.75 1.118207\nName: 12259, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4708799680152602, std values: 0.9007829533112824, min values: -2.5825978442440407, max values: 6.0, median values: -0.5889934635449837, and quantile values: 0.25 -1.190584\n0.50 -0.588993\n0.75 0.132217\nName: 12260, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2061008880654408, std values: 1.086648404114113, min values: -2.8350118695332047, max values: 5.0, median values: 0.3157252568853288, and quantile values: 0.25 -0.412127\n0.50 0.315725\n0.75 0.975656\nName: 12261, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07821009276503117, std values: 0.7921181246425107, min values: -2.2038853164231766, max values: 3.312693232344632, median values: 0.0487914754132821, and quantile values: 0.25 -0.459372\n0.50 0.048791\n0.75 0.558424\nName: 12262, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18776879294345167, std values: 0.7540180634390709, min values: -2.475272102106495, max values: 4.0, median values: -0.2553666800089886, and quantile values: 0.25 -0.719617\n0.50 -0.255367\n0.75 0.275936\nName: 12263, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5939300233047429, std values: 1.0178548020325275, min values: -2.887007053971579, max values: 3.760287110694155, median values: -0.7801358432966132, and quantile values: 0.25 -1.340884\n0.50 -0.780136\n0.75 -0.024292\nName: 12264, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12445075961646511, std values: 0.7554668676408794, min values: -2.0424002644031765, max values: 3.066111439712683, median values: 0.1868619897279373, and quantile values: 0.25 -0.364050\n0.50 0.186862\n0.75 0.602286\nName: 12265, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0071277662740092925, std values: 0.862189610806571, min values: -2.609385158408876, max values: 4.0, median values: 0.0140866305235015, and quantile values: 0.25 -0.505816\n0.50 0.014087\n0.75 0.545683\nName: 12266, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5104764729393764, std values: 0.8127261708664627, min values: -2.4788285026914285, max values: 4.0, median values: 0.6374022129825931, and quantile values: 0.25 -0.054996\n0.50 0.637402\n0.75 1.117637\nName: 12267, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39341646870145536, std values: 0.800205864347198, min values: -2.27710446206836, max values: 3.0, median values: 0.4182269733085059, and quantile values: 0.25 -0.169535\n0.50 0.418227\n0.75 0.998974\nName: 12268, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23631253794462717, std values: 0.785382340732036, min values: -2.071166690331113, max values: 2.887007053971583, median values: 0.2071633957864495, and quantile values: 0.25 -0.235896\n0.50 0.207163\n0.75 0.730500\nName: 12269, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08423064970960603, std values: 0.8510126375383977, min values: -2.601639132009086, max values: 6.0, median values: -0.1574570677557848, and quantile values: 0.25 -0.742122\n0.50 -0.157457\n0.75 0.453942\nName: 12270, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03851480808311541, std values: 0.9985909945989112, min values: -2.869671295224012, max values: 6.0, median values: -0.0322430499426866, and quantile values: 0.25 -0.764629\n0.50 -0.032243\n0.75 0.653029\nName: 12271, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21114451952634983, std values: 1.16203908687101, min values: -2.778044916685896, max values: 3.3014869995452325, median values: -0.1311446699117296, and quantile values: 0.25 -0.753859\n0.50 -0.131145\n0.75 0.553667\nName: 12272, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09308318057540857, std values: 0.7689052559974229, min values: -1.9308247847065363, max values: 2.989910119779402, median values: 0.0730956580468288, and quantile values: 0.25 -0.413305\n0.50 0.073096\n0.75 0.560556\nName: 12273, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14497558778794303, std values: 0.8284416453784712, min values: -2.783691185534105, max values: 3.670892362631932, median values: -0.2675634386275285, and quantile values: 0.25 -0.712991\n0.50 -0.267563\n0.75 0.350000\nName: 12274, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1545980609258689, std values: 0.7710300851028936, min values: -2.5569229852416258, max values: 4.0, median values: -0.1501837526235422, and quantile values: 0.25 -0.690655\n0.50 -0.150184\n0.75 0.298379\nName: 12275, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12307164469647826, std values: 0.992005856161782, min values: -2.9265160609644223, max values: 6.0, median values: -0.0092258007493831, and quantile values: 0.25 -0.714625\n0.50 -0.009226\n0.75 0.500559\nName: 12276, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34073258685805874, std values: 0.7737666033466424, min values: -2.475778245535816, max values: 4.0, median values: 0.3826819300648498, and quantile values: 0.25 -0.132993\n0.50 0.382682\n0.75 0.841103\nName: 12277, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8764298368091951, std values: 1.4359609195118834, min values: -2.727901130262228, max values: 4.0, median values: -1.6294958810366822, and quantile values: 0.25 -2.140874\n0.50 -1.629496\n0.75 0.387635\nName: 12278, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5819017794312333, std values: 0.9867574091287868, min values: -2.153087536306035, max values: 3.434669824302974, median values: 0.6732292610615298, and quantile values: 0.25 -0.157631\n0.50 0.673229\n0.75 1.352401\nName: 12279, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3551209583060494, std values: 0.9205353386478883, min values: -2.048935494746508, max values: 3.721862465295849, median values: 0.3956584489168835, and quantile values: 0.25 -0.294896\n0.50 0.395658\n0.75 1.002171\nName: 12280, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2990956236945665, std values: 0.9606828633530933, min values: -2.3184884946917497, max values: 6.0, median values: -0.4180707259130006, and quantile values: 0.25 -1.103446\n0.50 -0.418071\n0.75 0.415217\nName: 12281, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40096035064004765, std values: 0.7477929423903651, min values: -1.892951712923811, max values: 5.0, median values: 0.4179432497003109, and quantile values: 0.25 -0.068997\n0.50 0.417943\n0.75 0.916459\nName: 12282, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10216675674269451, std values: 1.014460349220974, min values: -2.981718296512785, max values: 5.0, median values: -0.1436227984319941, and quantile values: 0.25 -0.781593\n0.50 -0.143623\n0.75 0.517241\nName: 12283, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06353110135063084, std values: 0.8180938023961764, min values: -2.564449278715455, max values: 3.721862465295849, median values: -0.012573887695432, and quantile values: 0.25 -0.445417\n0.50 -0.012574\n0.75 0.505521\nName: 12284, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6351843866790018, std values: 1.0672511308666377, min values: -2.9472833478224456, max values: 6.0, median values: -0.6936181581621805, and quantile values: 0.25 -1.473129\n0.50 -0.693618\n0.75 0.065491\nName: 12285, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7153543004966042, std values: 0.919919060557414, min values: -2.8282523283494294, max values: 3.5908526919299577, median values: -0.8944049750168266, and quantile values: 0.25 -1.452396\n0.50 -0.894405\n0.75 -0.136383\nName: 12286, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16160175545994793, std values: 0.753242213363489, min values: -2.476285024008804, max values: 3.434669824302974, median values: 0.1759713965902467, and quantile values: 0.25 -0.334834\n0.50 0.175971\n0.75 0.702574\nName: 12287, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3272248825158332, std values: 0.9180014300742748, min values: -2.58513369695146, max values: 4.026668017837955, median values: 0.4061984513056568, and quantile values: 0.25 -0.196118\n0.50 0.406198\n0.75 0.935912\nName: 12288, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3599969651725473, std values: 0.8559481063662581, min values: -2.095777247368972, max values: 4.0, median values: 0.4168087774612192, and quantile values: 0.25 -0.267449\n0.50 0.416809\n0.75 1.023515\nName: 12289, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0738668287788616, std values: 0.8872012003851552, min values: -2.033611600779362, max values: 3.1290445144064547, median values: -0.2320748292886875, and quantile values: 0.25 -0.721885\n0.50 -0.232075\n0.75 0.475162\nName: 12290, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5925236272572582, std values: 0.9288815181060494, min values: -2.590643619371846, max values: 4.0, median values: -0.5956377220217767, and quantile values: 0.25 -1.261753\n0.50 -0.595638\n0.75 0.034596\nName: 12291, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15027719638783882, std values: 0.8477022096295449, min values: -2.087432639025188, max values: 4.0, median values: -0.2596047379064257, and quantile values: 0.25 -0.750647\n0.50 -0.259605\n0.75 0.370225\nName: 12292, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17773193744391047, std values: 0.9003285541668715, min values: -2.8282523283494294, max values: 4.0, median values: -0.143140953425549, and quantile values: 0.25 -0.757651\n0.50 -0.143141\n0.75 0.374339\nName: 12293, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12000461647656568, std values: 0.8865012210831746, min values: -2.1144606839090367, max values: 3.076680642207697, median values: -0.2139773617242676, and quantile values: 0.25 -0.818295\n0.50 -0.213977\n0.75 0.494621\nName: 12294, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09024836496825567, std values: 0.9657225253482937, min values: -2.739804196611005, max values: 6.0, median values: -0.0230693224196903, and quantile values: 0.25 -0.785179\n0.50 -0.023069\n0.75 0.560163\nName: 12295, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4681681476319917, std values: 0.8987379616806238, min values: -2.507084845405409, max values: 3.0, median values: 0.5239504034473551, and quantile values: 0.25 -0.166779\n0.50 0.523950\n0.75 1.189355\nName: 12296, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0006999269102416635, std values: 0.8855320314588786, min values: -2.90140378513671, max values: 3.4758930087721422, median values: -0.0311080244022311, and quantile values: 0.25 -0.554675\n0.50 -0.031108\n0.75 0.602031\nName: 12297, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24803211689753699, std values: 0.9344556407692337, min values: -2.9622221028070275, max values: 4.0, median values: -0.3189315448333069, and quantile values: 0.25 -0.897029\n0.50 -0.318932\n0.75 0.373290\nName: 12298, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2707765790655622, std values: 0.9186921559154487, min values: -2.103766579362726, max values: 5.0, median values: 0.332447009149199, and quantile values: 0.25 -0.427609\n0.50 0.332447\n0.75 0.951884\nName: 12299, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.049608770453188455, std values: 0.9743871630612987, min values: -2.057298247154041, max values: 3.132053530264631, median values: 0.0220056870484363, and quantile values: 0.25 -0.699673\n0.50 0.022006\n0.75 0.824052\nName: 12300, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24601563712658486, std values: 0.7538284169328107, min values: -2.783691185534105, max values: 2.95782096138206, median values: -0.337914281631078, and quantile values: 0.25 -0.808680\n0.50 -0.337914\n0.75 0.240608\nName: 12301, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24334454175023065, std values: 0.9704396270491489, min values: -2.657870006553045, max values: 3.1888787873512885, median values: 0.180812117315768, and quantile values: 0.25 -0.299905\n0.50 0.180812\n0.75 0.858842\nName: 12302, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13870302293247375, std values: 1.0256662368310705, min values: -2.8531572940820533, max values: 4.243835016543704, median values: -0.0090994097884937, and quantile values: 0.25 -0.750145\n0.50 -0.009099\n0.75 0.558650\nName: 12303, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04335157300620313, std values: 1.0209739489919316, min values: -2.673549169958716, max values: 6.0, median values: -0.0660354984493424, and quantile values: 0.25 -0.722314\n0.50 -0.066035\n0.75 0.689685\nName: 12304, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29905037711857635, std values: 1.0690238009004387, min values: -2.7016525309724218, max values: 3.721862465295849, median values: -0.275797240147221, and quantile values: 0.25 -1.177912\n0.50 -0.275797\n0.75 0.463104\nName: 12305, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3923548249951516, std values: 0.9337686337001811, min values: -2.5501488616953263, max values: 3.0, median values: -0.3636523950366754, and quantile values: 0.25 -0.907040\n0.50 -0.363652\n0.75 0.161006\nName: 12306, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20683174759691822, std values: 1.083105481733488, min values: -2.5399045531878324, max values: 4.0, median values: 0.2846146920338293, and quantile values: 0.25 -0.563678\n0.50 0.284615\n0.75 1.050292\nName: 12307, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5363844719992373, std values: 0.8159788646386125, min values: -2.4737574649270093, max values: 3.076680642207697, median values: 0.6224991795749725, and quantile values: 0.25 0.024015\n0.50 0.622499\n0.75 1.093634\nName: 12308, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16534946772955933, std values: 0.8236762079384702, min values: -2.579952672199424, max values: 6.0, median values: -0.1829779883877206, and quantile values: 0.25 -0.758294\n0.50 -0.182978\n0.75 0.358612\nName: 12309, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11451893351260671, std values: 0.9422044219948258, min values: -2.047203159103292, max values: 6.0, median values: 0.0581682757543958, and quantile values: 0.25 -0.606343\n0.50 0.058168\n0.75 0.774845\nName: 12310, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14476869057679842, std values: 0.8984434441891579, min values: -2.5825978442440407, max values: 6.0, median values: -0.1943579130568681, and quantile values: 0.25 -0.887948\n0.50 -0.194358\n0.75 0.486504\nName: 12311, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12900220021825398, std values: 0.7513164967053847, min values: -2.7428415536925543, max values: 2.8696712952240047, median values: 0.1551989584870017, and quantile values: 0.25 -0.344979\n0.50 0.155199\n0.75 0.598600\nName: 12312, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19107824731803588, std values: 1.1402428086369396, min values: -2.8663054413554843, max values: 6.0, median values: 0.2884879164950137, and quantile values: 0.25 -0.354577\n0.50 0.288488\n0.75 0.907796\nName: 12313, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1745912617866396, std values: 0.8192950163480446, min values: -2.065089589366759, max values: 2.9961239202177814, median values: -0.2378217656211478, and quantile values: 0.25 -0.743762\n0.50 -0.237822\n0.75 0.294875\nName: 12314, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2669707938854473, std values: 0.9913136418279331, min values: -2.6820581866633817, max values: 3.141939528112806, median values: -0.2449668596289355, and quantile values: 0.25 -0.829978\n0.50 -0.244967\n0.75 0.388843\nName: 12315, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14400947591082436, std values: 0.8130257969771759, min values: -2.024977263287256, max values: 5.0, median values: 0.1794406209261136, and quantile values: 0.25 -0.432327\n0.50 0.179441\n0.75 0.684120\nName: 12316, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8377416121574005, std values: 1.1476547922446823, min values: -2.9029979285382743, max values: 3.0, median values: -0.8345783171199217, and quantile values: 0.25 -1.820151\n0.50 -0.834578\n0.75 -0.043549\nName: 12317, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3655783395307958, std values: 1.033960490360745, min values: -2.22827101731796, max values: 3.397048482165858, median values: 0.426883919862897, and quantile values: 0.25 -0.440464\n0.50 0.426884\n0.75 1.238621\nName: 12318, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06544316726880137, std values: 0.8241190415000846, min values: -2.1296382068987767, max values: 3.0, median values: -0.0031670288926603, and quantile values: 0.25 -0.475190\n0.50 -0.003167\n0.75 0.589074\nName: 12319, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26527079359421524, std values: 0.8534550773798869, min values: -2.807209974165368, max values: 6.0, median values: -0.233534581125223, and quantile values: 0.25 -0.866648\n0.50 -0.233535\n0.75 0.277197\nName: 12320, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14189850614701682, std values: 1.1220335096589489, min values: -3.1175233493066874, max values: 3.760287110694155, median values: -0.2115843610643918, and quantile values: 0.25 -0.969966\n0.50 -0.211584\n0.75 0.456170\nName: 12321, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3602580238763466, std values: 0.9807645748053648, min values: -2.1795576641099137, max values: 5.0, median values: -0.441687933298672, and quantile values: 0.25 -1.178586\n0.50 -0.441688\n0.75 0.316539\nName: 12322, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33297192118564883, std values: 0.86014869879113, min values: -2.579723791499676, max values: 4.0, median values: -0.4257469545883982, and quantile values: 0.25 -1.005911\n0.50 -0.425747\n0.75 0.230864\nName: 12323, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6875651807041688, std values: 1.285819801085315, min values: -3.045947208515832, max values: 6.0, median values: -0.6078827872888383, and quantile values: 0.25 -1.915105\n0.50 -0.607883\n0.75 0.282604\nName: 12324, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2175236082440685, std values: 0.7605700859093331, min values: -1.8653253604244144, max values: 3.518664430018096, median values: 0.2046036746015428, and quantile values: 0.25 -0.266064\n0.50 0.204604\n0.75 0.687094\nName: 12325, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31247364852781495, std values: 1.1372307021911834, min values: -2.8246479422601736, max values: 6.0, median values: -0.2347916254078688, and quantile values: 0.25 -0.920426\n0.50 -0.234792\n0.75 0.407520\nName: 12326, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03018475597343166, std values: 0.924182078048321, min values: -2.4788285026914285, max values: 4.0, median values: -0.0358363152262013, and quantile values: 0.25 -0.679289\n0.50 -0.035836\n0.75 0.506880\nName: 12327, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07663131527724763, std values: 1.060627832192204, min values: -2.733804248449497, max values: 3.0, median values: -0.0092884938158508, and quantile values: 0.25 -0.792956\n0.50 -0.009288\n0.75 0.715123\nName: 12328, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35218094950032286, std values: 0.9015396001220827, min values: -2.5820330744015787, max values: 4.0, median values: 0.4881791043162795, and quantile values: 0.25 -0.211633\n0.50 0.488179\n0.75 0.986461\nName: 12329, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2519736282252711, std values: 0.9509423281857101, min values: -2.6117120822772133, max values: 5.0, median values: -0.3629454836748301, and quantile values: 0.25 -0.952485\n0.50 -0.362945\n0.75 0.333039\nName: 12330, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12717646820962034, std values: 1.0436478370975364, min values: -2.8531572940820533, max values: 3.9905524164385566, median values: 0.2247253729870091, and quantile values: 0.25 -0.650856\n0.50 0.224725\n0.75 0.913800\nName: 12331, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01136797729012987, std values: 0.7563030723304819, min values: -2.226424194672579, max values: 4.0, median values: -0.0787059222426974, and quantile values: 0.25 -0.497374\n0.50 -0.078706\n0.75 0.487874\nName: 12332, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30869919349479963, std values: 0.7818819055745344, min values: -2.0407136277056424, max values: 5.0, median values: 0.3061906913978697, and quantile values: 0.25 -0.213836\n0.50 0.306191\n0.75 0.809080\nName: 12333, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2618712507087821, std values: 0.9884534798544443, min values: -2.5695487141177, max values: 4.0, median values: -0.3413661563230862, and quantile values: 0.25 -0.968983\n0.50 -0.341366\n0.75 0.375255\nName: 12334, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4075080625530227, std values: 1.3911914604292352, min values: -2.949186837165601, max values: 4.026668017837955, median values: 0.6040774762192815, and quantile values: 0.25 -0.454449\n0.50 0.604077\n0.75 1.502702\nName: 12335, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10299585041774204, std values: 0.9226319543757469, min values: -2.732564679617164, max values: 3.721862465295849, median values: -0.1525835041657407, and quantile values: 0.25 -0.727877\n0.50 -0.152584\n0.75 0.537582\nName: 12336, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16478858285891512, std values: 0.847010175630299, min values: -2.321510952509234, max values: 3.2936960268109283, median values: -0.2469538138236789, and quantile values: 0.25 -0.834590\n0.50 -0.246954\n0.75 0.388869\nName: 12337, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.055299808548674764, std values: 0.7955366534232868, min values: -2.067884917892885, max values: 6.0, median values: 0.0888406564204411, and quantile values: 0.25 -0.478154\n0.50 0.088841\n0.75 0.564487\nName: 12338, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19622978372481253, std values: 0.8589849318475559, min values: -2.300042081328127, max values: 4.0, median values: 0.1387530591663027, and quantile values: 0.25 -0.467160\n0.50 0.138753\n0.75 0.818265\nName: 12339, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2525693944598679, std values: 0.7958899327884803, min values: -2.657750824678472, max values: 5.0, median values: -0.2447948932225123, and quantile values: 0.25 -0.739976\n0.50 -0.244795\n0.75 0.197442\nName: 12340, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2675964547039383, std values: 0.70852786894802, min values: -2.2643409927982048, max values: 3.336438412828754, median values: -0.294727172040604, and quantile values: 0.25 -0.745724\n0.50 -0.294727\n0.75 0.162371\nName: 12341, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2267549817190966, std values: 0.9939676876245114, min values: -2.45229857681487, max values: 3.0, median values: -0.285901809977687, and quantile values: 0.25 -1.055742\n0.50 -0.285902\n0.75 0.480036\nName: 12342, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26951561554203, std values: 0.8795467587136594, min values: -2.124349157675412, max values: 4.0, median values: 0.2810549210558713, and quantile values: 0.25 -0.306681\n0.50 0.281055\n0.75 0.849176\nName: 12343, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5107177423749766, std values: 0.9109552625738988, min values: -2.64479559868397, max values: 6.0, median values: -0.6655277038026928, and quantile values: 0.25 -1.144290\n0.50 -0.665528\n0.75 0.007539\nName: 12344, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5190528355077033, std values: 0.9997889776383376, min values: -2.5682675825126706, max values: 5.0, median values: 0.550764873015032, and quantile values: 0.25 -0.200415\n0.50 0.550765\n0.75 1.319812\nName: 12345, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1389002981461533, std values: 0.8807771638792602, min values: -2.634919142586459, max values: 6.0, median values: 0.2191313402232509, and quantile values: 0.25 -0.292050\n0.50 0.219131\n0.75 0.658832\nName: 12346, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18655041147668988, std values: 0.7438355358551574, min values: -2.374446373878101, max values: 4.0, median values: -0.2442348042325513, and quantile values: 0.25 -0.678228\n0.50 -0.244235\n0.75 0.247450\nName: 12347, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22960010857349283, std values: 1.0067958411663196, min values: -2.740813841730953, max values: 3.0774992973297404, median values: 0.2258664102270007, and quantile values: 0.25 -0.265823\n0.50 0.225866\n0.75 0.850125\nName: 12348, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1815304482823175, std values: 0.7976128905664616, min values: -2.506447346480887, max values: 4.0, median values: 0.2372268938302524, and quantile values: 0.25 -0.334718\n0.50 0.237227\n0.75 0.665665\nName: 12349, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03484006730107625, std values: 0.8407989704197798, min values: -2.58513369695146, max values: 4.0, median values: -0.0148430138097383, and quantile values: 0.25 -0.520294\n0.50 -0.014843\n0.75 0.515762\nName: 12350, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35184189506588776, std values: 0.8813774547083779, min values: -2.4705236352348297, max values: 3.5581019918925243, median values: 0.3779816968244987, and quantile values: 0.25 -0.281805\n0.50 0.377982\n0.75 1.044953\nName: 12351, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1437396628536614, std values: 1.0378410882112257, min values: -2.730840794324401, max values: 3.528773265847577, median values: -0.2791128695439146, and quantile values: 0.25 -0.824587\n0.50 -0.279113\n0.75 0.500440\nName: 12352, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2514712208327506, std values: 0.8383891644608754, min values: -2.7510671817729784, max values: 6.0, median values: -0.3301195890085942, and quantile values: 0.25 -0.784025\n0.50 -0.330120\n0.75 0.251278\nName: 12353, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21347530002387605, std values: 0.8298127955959064, min values: -2.0211405625505043, max values: 5.0, median values: 0.2492052462085053, and quantile values: 0.25 -0.348292\n0.50 0.249205\n0.75 0.724723\nName: 12354, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2753209041900343, std values: 0.957800959072228, min values: -2.536941606705235, max values: 4.0, median values: 0.3533008781241296, and quantile values: 0.25 -0.401030\n0.50 0.353301\n0.75 0.984760\nName: 12355, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.46885720976018497, std values: 0.8156317136404351, min values: -2.087432639025188, max values: 4.0, median values: 0.5519479865252331, and quantile values: 0.25 -0.061749\n0.50 0.551948\n0.75 1.055660\nName: 12356, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10972881484198177, std values: 0.931774611814214, min values: -2.837386543755612, max values: 5.0, median values: -0.0812976220723779, and quantile values: 0.25 -0.603987\n0.50 -0.081298\n0.75 0.515186\nName: 12357, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4048961726411704, std values: 0.9480865944856134, min values: -2.642042398333877, max values: 3.598076523509904, median values: 0.4918121869187836, and quantile values: 0.25 -0.132715\n0.50 0.491812\n0.75 1.074307\nName: 12358, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13151749039963498, std values: 0.8186676746170184, min values: -2.196708653609315, max values: 6.0, median values: 0.1844524370947429, and quantile values: 0.25 -0.467281\n0.50 0.184452\n0.75 0.718719\nName: 12359, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3667616982231896, std values: 0.7741687766488486, min values: -2.300042081328127, max values: 4.0, median values: -0.4847073083770912, and quantile values: 0.25 -0.904404\n0.50 -0.484707\n0.75 0.088765\nName: 12360, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09481656039651, std values: 0.8985796187822133, min values: -2.139311372893009, max values: 3.0, median values: 0.1248300077375287, and quantile values: 0.25 -0.611531\n0.50 0.124830\n0.75 0.807306\nName: 12361, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2532301879706016, std values: 1.0577006027226052, min values: -2.944950884974346, max values: 3.1801075704642923, median values: -0.3673182073894886, and quantile values: 0.25 -1.069513\n0.50 -0.367318\n0.75 0.429700\nName: 12362, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13447542668042053, std values: 0.8416831484170099, min values: -1.995082903116436, max values: 3.518664430018096, median values: 0.1158965072776818, and quantile values: 0.25 -0.487076\n0.50 0.115897\n0.75 0.747455\nName: 12363, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7178758642944363, std values: 1.1066338654633658, min values: -2.102760548955074, max values: 3.670892362631932, median values: 0.7111100536204711, and quantile values: 0.25 -0.058692\n0.50 0.711110\n0.75 1.531185\nName: 12364, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1532760944848814, std values: 0.9447345055849629, min values: -2.87684958111886, max values: 3.1841025362512254, median values: 0.2272485984520696, and quantile values: 0.25 -0.456190\n0.50 0.227249\n0.75 0.812237\nName: 12365, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10698656324964632, std values: 0.9188900095931101, min values: -2.7939007019027, max values: 3.045947208515846, median values: -0.1838082038964577, and quantile values: 0.25 -0.736655\n0.50 -0.183808\n0.75 0.480487\nName: 12366, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3687428999180401, std values: 0.9206862675722897, min values: -2.64479559868397, max values: 6.0, median values: -0.443564751121687, and quantile values: 0.25 -0.986013\n0.50 -0.443565\n0.75 0.188100\nName: 12367, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07540885276202411, std values: 0.7554113839283054, min values: -2.01271952487341, max values: 6.0, median values: 0.0319829363070471, and quantile values: 0.25 -0.410398\n0.50 0.031983\n0.75 0.534920\nName: 12368, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04454455628943248, std values: 0.8833170506811537, min values: -2.9090251609554527, max values: 6.0, median values: 0.0674949890798308, and quantile values: 0.25 -0.575826\n0.50 0.067495\n0.75 0.615653\nName: 12369, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4744352694255453, std values: 0.9666395117672035, min values: -2.737201088051888, max values: 3.0, median values: -0.3950976547625137, and quantile values: 0.25 -1.099025\n0.50 -0.395098\n0.75 0.139747\nName: 12370, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05348793165477797, std values: 1.0297575875126022, min values: -2.5743883495350026, max values: 5.0, median values: 0.1982241428825339, and quantile values: 0.25 -0.586213\n0.50 0.198224\n0.75 0.788865\nName: 12371, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1759320205003455, std values: 1.1168614622688517, min values: -3.002493140275396, max values: 5.0, median values: 0.1735665673501316, and quantile values: 0.25 -0.583057\n0.50 0.173567\n0.75 0.821502\nName: 12372, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24504926314206812, std values: 0.9181056609894711, min values: -2.14258071674473, max values: 5.0, median values: -0.3646974149047967, and quantile values: 0.25 -0.917318\n0.50 -0.364697\n0.75 0.354298\nName: 12373, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.824608947546292, std values: 1.3182798256677384, min values: -3.0484008792629496, max values: 5.0, median values: 1.0557097157673625, and quantile values: 0.25 0.136467\n0.50 1.055710\n0.75 1.829143\nName: 12374, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5756619905050483, std values: 1.02475809538072, min values: -2.933035609461076, max values: 5.0, median values: -0.6788524168362515, and quantile values: 0.25 -1.315645\n0.50 -0.678852\n0.75 0.086634\nName: 12375, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29759877272600466, std values: 1.1349427547373507, min values: -2.92272757463548, max values: 6.0, median values: -0.1395527140253322, and quantile values: 0.25 -0.996564\n0.50 -0.139553\n0.75 0.412457\nName: 12376, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.005306170915294693, std values: 1.0839338308833937, min values: -2.558791007225312, max values: 3.9905524164385566, median values: 0.1700729610827586, and quantile values: 0.25 -0.625101\n0.50 0.170073\n0.75 0.751008\nName: 12377, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18763522279018327, std values: 0.7727992992096342, min values: -2.300042081328127, max values: 4.0, median values: -0.2027479855711367, and quantile values: 0.25 -0.690765\n0.50 -0.202748\n0.75 0.275679\nName: 12378, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5925385872673675, std values: 1.2975912401712584, min values: -2.8834699678265463, max values: 5.0, median values: -0.6021946062832307, and quantile values: 0.25 -1.779961\n0.50 -0.602195\n0.75 0.392951\nName: 12379, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13437102731076625, std values: 0.8978623427282524, min values: -3.05087304133376, max values: 5.0, median values: 0.1062257914631578, and quantile values: 0.25 -0.410167\n0.50 0.106226\n0.75 0.700652\nName: 12380, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14926441546773955, std values: 0.7493755297251352, min values: -2.105967784650795, max values: 4.0, median values: 0.1045919199860732, and quantile values: 0.25 -0.329887\n0.50 0.104592\n0.75 0.606229\nName: 12381, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45839603424595377, std values: 0.8254724211144578, min values: -2.7428415536925543, max values: 3.4566816047670264, median values: 0.5147274626221722, and quantile values: 0.25 -0.046227\n0.50 0.514727\n0.75 0.985834\nName: 12382, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31730632413999227, std values: 0.8724022875921406, min values: -2.687115288423959, max values: 5.0, median values: -0.3027341898036877, and quantile values: 0.25 -0.949677\n0.50 -0.302734\n0.75 0.220269\nName: 12383, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25760273440762715, std values: 0.8734196469303579, min values: -2.579723791499676, max values: 4.0, median values: 0.3274452638926173, and quantile values: 0.25 -0.365749\n0.50 0.327445\n0.75 0.904723\nName: 12384, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5154956415577175, std values: 0.8486486247081533, min values: -2.6603025395856053, max values: 5.0, median values: -0.5934687335654526, and quantile values: 0.25 -1.113020\n0.50 -0.593469\n0.75 -0.020989\nName: 12385, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1798312647258508, std values: 0.8808814721251268, min values: -2.0664852352279466, max values: 3.627976272701048, median values: 0.1288818864419645, and quantile values: 0.25 -0.420687\n0.50 0.128882\n0.75 0.753566\nName: 12386, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6524905359623097, std values: 1.062678092159689, min values: -2.2272703849889663, max values: 4.026668017837955, median values: 0.5727382604899307, and quantile values: 0.25 -0.021482\n0.50 0.572738\n0.75 1.276614\nName: 12387, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.027242953475541454, std values: 0.7788019509303346, min values: -1.9764330321622496, max values: 3.0315977762793005, median values: 0.0489192941765814, and quantile values: 0.25 -0.556301\n0.50 0.048919\n0.75 0.624566\nName: 12388, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3118975553836212, std values: 0.8525531048390261, min values: -2.944950884974346, max values: 3.0, median values: -0.333262031184604, and quantile values: 0.25 -0.813712\n0.50 -0.333262\n0.75 0.190746\nName: 12389, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19945623699218898, std values: 0.915955874687164, min values: -2.0362317154895964, max values: 3.670892362631932, median values: -0.2302363052038083, and quantile values: 0.25 -0.972162\n0.50 -0.230236\n0.75 0.485453\nName: 12390, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.039019929541647215, std values: 0.8749551080558903, min values: -2.5156802245814003, max values: 4.0, median values: 0.0295001398047948, and quantile values: 0.25 -0.499878\n0.50 0.029500\n0.75 0.538323\nName: 12391, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5326655263333928, std values: 1.0496996391161557, min values: -2.949186837165601, max values: 4.0, median values: -0.4601334573728062, and quantile values: 0.25 -1.112265\n0.50 -0.460133\n0.75 0.179254\nName: 12392, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5849666826444456, std values: 1.1485431608718573, min values: -2.8467638118011016, max values: 5.0, median values: -0.4319664936593768, and quantile values: 0.25 -1.712824\n0.50 -0.431966\n0.75 0.199901\nName: 12393, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04845443320087222, std values: 0.7936452307142046, min values: -2.028356248468432, max values: 3.1175233493066874, median values: 0.0029467107617411, and quantile values: 0.25 -0.495369\n0.50 0.002947\n0.75 0.571281\nName: 12394, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2891755340392954, std values: 0.925531636094574, min values: -2.329326169859048, max values: 5.0, median values: 0.3202000501118605, and quantile values: 0.25 -0.347269\n0.50 0.320200\n0.75 0.927086\nName: 12395, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06853558197505469, std values: 0.8411778237896939, min values: -2.58513369695146, max values: 3.20751086257212, median values: -0.2168562765122373, and quantile values: 0.25 -0.634016\n0.50 -0.216856\n0.75 0.425667\nName: 12396, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42148527432942057, std values: 0.798009053111679, min values: -2.0600063421362025, max values: 3.784832159836258, median values: -0.5534745906320443, and quantile values: 0.25 -1.003949\n0.50 -0.553475\n0.75 0.086990\nName: 12397, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39468096536700414, std values: 0.8526752086990397, min values: -2.1317706126061804, max values: 4.0, median values: 0.4623413942194245, and quantile values: 0.25 -0.196680\n0.50 0.462341\n0.75 1.052111\nName: 12398, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12290295797184533, std values: 0.9708688341487574, min values: -2.56026492390943, max values: 4.0, median values: -0.2281158974553636, and quantile values: 0.25 -0.905472\n0.50 -0.228116\n0.75 0.559938\nName: 12399, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24027279286503891, std values: 1.0213690157403628, min values: -2.788272971802125, max values: 6.0, median values: -0.1328260951325305, and quantile values: 0.25 -0.848871\n0.50 -0.132826\n0.75 0.433106\nName: 12400, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4687422726250884, std values: 0.8804710790095525, min values: -2.7016525309724218, max values: 3.247416277295021, median values: 0.5759881966574123, and quantile values: 0.25 -0.113512\n0.50 0.575988\n0.75 1.106139\nName: 12401, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.418285288976122, std values: 1.1018406074567269, min values: -2.58513369695146, max values: 4.0, median values: 0.5399597888220758, and quantile values: 0.25 -0.329843\n0.50 0.539960\n0.75 1.293347\nName: 12402, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16750756363911562, std values: 0.8675031349293649, min values: -2.5213149333948146, max values: 3.071284484560209, median values: -0.225114875108209, and quantile values: 0.25 -0.824388\n0.50 -0.225115\n0.75 0.403359\nName: 12403, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.347834877613447, std values: 0.8161305902311201, min values: -2.09821650080654, max values: 5.0, median values: -0.3634615069685233, and quantile values: 0.25 -0.933844\n0.50 -0.363462\n0.75 0.130104\nName: 12404, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05061707106483506, std values: 0.9123094880917596, min values: -2.209826040384377, max values: 3.162318759909359, median values: 0.0574161076631431, and quantile values: 0.25 -0.619118\n0.50 0.057416\n0.75 0.731867\nName: 12405, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14664284653584328, std values: 0.7443590794527828, min values: -2.119639300682046, max values: 4.0, median values: 0.1700170803646717, and quantile values: 0.25 -0.340140\n0.50 0.170017\n0.75 0.634301\nName: 12406, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15290137682997312, std values: 0.790855406980829, min values: -2.476285024008804, max values: 4.243835016543704, median values: 0.1826415299136272, and quantile values: 0.25 -0.391765\n0.50 0.182642\n0.75 0.662477\nName: 12407, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04060956951407995, std values: 0.9584985958144142, min values: -2.609385158408876, max values: 4.0, median values: 0.0771248760155695, and quantile values: 0.25 -0.576866\n0.50 0.077125\n0.75 0.689048\nName: 12408, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5873356518073992, std values: 0.9704369792110995, min values: -2.673549169958716, max values: 6.0, median values: -0.6478890634341448, and quantile values: 0.25 -1.249233\n0.50 -0.647889\n0.75 0.042602\nName: 12409, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26435009243681096, std values: 0.7878867699635271, min values: -1.977267280562388, max values: 5.0, median values: 0.2941199757279479, and quantile values: 0.25 -0.264962\n0.50 0.294120\n0.75 0.812659\nName: 12410, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.016706781453634766, std values: 0.8007007506576047, min values: -2.300042081328127, max values: 4.243835016543704, median values: -0.0566348998200477, and quantile values: 0.25 -0.579798\n0.50 -0.056635\n0.75 0.509365\nName: 12411, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8726822678759106, std values: 0.9306677556949593, min values: -2.6685266729136536, max values: 6.0, median values: 0.9623770244528468, and quantile values: 0.25 0.276852\n0.50 0.962377\n0.75 1.514903\nName: 12412, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11463112056585115, std values: 1.0958317622977187, min values: -2.6320986139293034, max values: 3.760287110694155, median values: 0.0657512680086532, and quantile values: 0.25 -0.548923\n0.50 0.065751\n0.75 0.721575\nName: 12413, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04620091369087929, std values: 0.781342646950024, min values: -2.041957069977206, max values: 5.0, median values: -0.0468615171945015, and quantile values: 0.25 -0.559906\n0.50 -0.046862\n0.75 0.402774\nName: 12414, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32046845836949006, std values: 0.824383759654021, min values: -2.687282238908512, max values: 3.132053530264631, median values: -0.3794244927409053, and quantile values: 0.25 -0.916018\n0.50 -0.379424\n0.75 0.130132\nName: 12415, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08172048704725024, std values: 0.970387340516228, min values: -2.5201815750705507, max values: 4.0, median values: -0.1323815750791207, and quantile values: 0.25 -0.785973\n0.50 -0.132382\n0.75 0.629745\nName: 12416, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13629479084873825, std values: 0.841299370103111, min values: -2.6117120822772133, max values: 5.0, median values: -0.2603774682966514, and quantile values: 0.25 -0.687678\n0.50 -0.260377\n0.75 0.365218\nName: 12417, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.57489766059458, std values: 0.9613013961213366, min values: -2.169809121306302, max values: 3.455472209455805, median values: -0.7788261289668296, and quantile values: 0.25 -1.343910\n0.50 -0.778826\n0.75 0.090452\nName: 12418, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4547313777791524, std values: 0.7933809034148303, min values: -2.5501488616953263, max values: 3.236860296211547, median values: 0.5040178873748153, and quantile values: 0.25 -0.025055\n0.50 0.504018\n0.75 0.964909\nName: 12419, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22465697257499087, std values: 1.1851579471617868, min values: -3.0363117572416627, max values: 5.0, median values: 0.326301079335575, and quantile values: 0.25 -0.491391\n0.50 0.326301\n0.75 1.137358\nName: 12420, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.036868979091438187, std values: 1.0833853994514602, min values: -2.7542003929097176, max values: 5.0, median values: -0.0174904250275543, and quantile values: 0.25 -0.833920\n0.50 -0.017490\n0.75 0.765805\nName: 12421, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28156883409073835, std values: 1.04785166615609, min values: -2.497627580948261, max values: 3.397048482165858, median values: -0.2494978157666554, and quantile values: 0.25 -1.126148\n0.50 -0.249498\n0.75 0.482451\nName: 12422, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5312880123553605, std values: 0.927134485655013, min values: -2.7825548156447035, max values: 6.0, median values: 0.6487055879483121, and quantile values: 0.25 -0.120223\n0.50 0.648706\n0.75 1.265903\nName: 12423, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.2194998883418362, std values: 1.1344129091449189, min values: -2.727901130262228, max values: 4.0, median values: -1.6842246352128796, and quantile values: 0.25 -2.140406\n0.50 -1.684225\n0.75 -0.386121\nName: 12424, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.429049288847371, std values: 0.7864738742358901, min values: -2.4540853055744134, max values: 3.0, median values: 0.4911596183649486, and quantile values: 0.25 -0.098945\n0.50 0.491160\n0.75 0.978094\nName: 12425, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3553640921601837, std values: 0.8745565990183357, min values: -1.9619416201814053, max values: 3.258347009006034, median values: 0.4378869263508371, and quantile values: 0.25 -0.248864\n0.50 0.437887\n0.75 0.969138\nName: 12426, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02075300710816791, std values: 0.9171185519241893, min values: -3.103622965243163, max values: 3.1395741599540568, median values: 0.0631934302925753, and quantile values: 0.25 -0.529241\n0.50 0.063193\n0.75 0.545683\nName: 12427, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1133132200776723, std values: 0.9066385836315876, min values: -2.590643619371846, max values: 4.0, median values: -0.1908426759696291, and quantile values: 0.25 -0.662918\n0.50 -0.190843\n0.75 0.386893\nName: 12428, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.015023192008390978, std values: 1.3702281787373545, min values: -2.642042398333877, max values: 3.390469008396469, median values: 0.1961743010268552, and quantile values: 0.25 -1.087896\n0.50 0.196174\n0.75 1.127753\nName: 12429, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23596523640815403, std values: 0.7886715211887537, min values: -1.8740108789081875, max values: 3.055874031381882, median values: 0.1685763891432119, and quantile values: 0.25 -0.291199\n0.50 0.168576\n0.75 0.728488\nName: 12430, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0018998540114305922, std values: 0.8973057202871874, min values: -2.783691185534105, max values: 4.243835016543704, median values: -0.0730956580468288, and quantile values: 0.25 -0.644538\n0.50 -0.073096\n0.75 0.566317\nName: 12431, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20660383459659654, std values: 1.0335501597602963, min values: -2.869671295224012, max values: 6.0, median values: -0.1580147487724299, and quantile values: 0.25 -0.734425\n0.50 -0.158015\n0.75 0.474924\nName: 12432, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13703422710345745, std values: 1.162994436706311, min values: -2.5743883495350026, max values: 5.0, median values: -0.0872035456227746, and quantile values: 0.25 -0.997846\n0.50 -0.087204\n0.75 0.776110\nName: 12433, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5314030840834099, std values: 0.9289700523211714, min values: -2.223678652475388, max values: 4.0, median values: -0.5936329530353958, and quantile values: 0.25 -1.300851\n0.50 -0.593633\n0.75 0.107650\nName: 12434, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06393208605242374, std values: 0.8619289833268041, min values: -2.5624611946462936, max values: 5.0, median values: -0.07627517498784, and quantile values: 0.25 -0.557737\n0.50 -0.076275\n0.75 0.438961\nName: 12435, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.004561133816057283, std values: 0.7768430854138997, min values: -2.321510952509234, max values: 3.4758930087721422, median values: -0.0358363152262013, and quantile values: 0.25 -0.473094\n0.50 -0.035836\n0.75 0.460871\nName: 12436, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02305931252047539, std values: 0.8139314046989423, min values: -2.3808324358856225, max values: 3.250922035035844, median values: -0.0509146396565727, and quantile values: 0.25 -0.563485\n0.50 -0.050915\n0.75 0.462954\nName: 12437, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2807606045278328, std values: 0.7513103605690956, min values: -2.116008317253216, max values: 3.1888787873512885, median values: 0.3273731198145978, and quantile values: 0.25 -0.191769\n0.50 0.327373\n0.75 0.768207\nName: 12438, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20182265714144604, std values: 0.8952435626903581, min values: -2.0801885729223746, max values: 4.0, median values: 0.1755326122781805, and quantile values: 0.25 -0.497909\n0.50 0.175533\n0.75 0.836902\nName: 12439, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5886829487675578, std values: 0.9777156640194183, min values: -2.09925610156575, max values: 5.0, median values: 0.7040001950111977, and quantile values: 0.25 -0.126116\n0.50 0.704000\n0.75 1.359823\nName: 12440, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13476038786782796, std values: 0.7779447579434376, min values: -2.136064736636534, max values: 3.0, median values: -0.1601438864720194, and quantile values: 0.25 -0.654726\n0.50 -0.160144\n0.75 0.340743\nName: 12441, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23906717710053785, std values: 0.8943800165833263, min values: -2.730840794324401, max values: 3.141939528112806, median values: 0.2424703447574178, and quantile values: 0.25 -0.398912\n0.50 0.242470\n0.75 0.836768\nName: 12442, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3612050255591255, std values: 1.022589028039368, min values: -2.497627580948261, max values: 3.784832159836258, median values: 0.4874966811645369, and quantile values: 0.25 -0.167186\n0.50 0.487497\n0.75 1.018273\nName: 12443, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12266189940961843, std values: 1.0111939821551912, min values: -2.748993280390358, max values: 3.2328207660681025, median values: 0.0007435615211104, and quantile values: 0.25 -0.614772\n0.50 0.000744\n0.75 0.793006\nName: 12444, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.011717939375032562, std values: 0.8658282198154836, min values: -2.5743883495350026, max values: 5.0, median values: -0.0856693215925648, and quantile values: 0.25 -0.654366\n0.50 -0.085669\n0.75 0.596690\nName: 12445, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02638479646009847, std values: 0.7641317528677026, min values: -2.300042081328127, max values: 4.0, median values: -0.0677883716018803, and quantile values: 0.25 -0.536190\n0.50 -0.067788\n0.75 0.442329\nName: 12446, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04820413363103574, std values: 0.8807929401913401, min values: -2.618746139350171, max values: 3.867701659180865, median values: 0.0557590411939664, and quantile values: 0.25 -0.568205\n0.50 0.055759\n0.75 0.646234\nName: 12447, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.006089723208400728, std values: 0.8450640463092962, min values: -2.862971749830789, max values: 3.598076523509904, median values: 0.1117941874798143, and quantile values: 0.25 -0.509769\n0.50 0.111794\n0.75 0.585147\nName: 12448, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2616916560132044, std values: 1.314319896085774, min values: -2.6404955031131814, max values: 5.0, median values: 0.3281212778355009, and quantile values: 0.25 -0.642592\n0.50 0.328121\n0.75 1.350587\nName: 12449, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12439414504273917, std values: 0.8148796626826378, min values: -2.1462818733325224, max values: 5.0, median values: 0.0920837369802537, and quantile values: 0.25 -0.412790\n0.50 0.092084\n0.75 0.654346\nName: 12450, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.47876269308850383, std values: 0.7553610828174344, min values: -2.054559691347624, max values: 3.258347009006034, median values: -0.628131816028231, and quantile values: 0.25 -1.022011\n0.50 -0.628132\n0.75 -0.028105\nName: 12451, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17322091205172938, std values: 0.9192161644339423, min values: -2.642042398333877, max values: 3.3760121766849016, median values: 0.2541086218362571, and quantile values: 0.25 -0.354074\n0.50 0.254109\n0.75 0.766211\nName: 12452, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2304476074686342, std values: 0.8441762421770101, min values: -2.7314147016889114, max values: 3.216771431244405, median values: 0.2783759817262356, and quantile values: 0.25 -0.348342\n0.50 0.278376\n0.75 0.802585\nName: 12453, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.027588913154979113, std values: 0.8629933083299031, min values: -2.071166690331113, max values: 3.867701659180865, median values: 0.0618651979791378, and quantile values: 0.25 -0.632918\n0.50 0.061865\n0.75 0.656755\nName: 12454, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2073889933619393, std values: 0.7909491204826945, min values: -2.116008317253216, max values: 4.0, median values: 0.2647672730269244, and quantile values: 0.25 -0.371213\n0.50 0.264767\n0.75 0.783958\nName: 12455, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0009423828727766139, std values: 0.8534678388557374, min values: -2.6603025395856053, max values: 5.0, median values: 0.0775752769730381, and quantile values: 0.25 -0.531936\n0.50 0.077575\n0.75 0.560500\nName: 12456, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35989520773811773, std values: 0.9482236628436608, min values: -2.6278943940336483, max values: 4.0, median values: 0.4302000788431473, and quantile values: 0.25 -0.303180\n0.50 0.430200\n0.75 1.012786\nName: 12457, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.48989641896718283, std values: 0.9166958244372894, min values: -1.9839237799337628, max values: 3.455472209455805, median values: 0.5435195443531572, and quantile values: 0.25 -0.173986\n0.50 0.543520\n0.75 1.216032\nName: 12458, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04727457386268971, std values: 0.863192945834511, min values: -2.841647375415054, max values: 5.0, median values: -0.0698137501085029, and quantile values: 0.25 -0.538323\n0.50 -0.069814\n0.75 0.621789\nName: 12459, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.397178553338305, std values: 1.1739329738108686, min values: -2.2038853164231766, max values: 3.281452258958016, median values: 0.3193203140835005, and quantile values: 0.25 -0.530387\n0.50 0.319320\n0.75 1.431015\nName: 12460, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19600681134770928, std values: 0.7821518098525816, min values: -2.060842074965388, max values: 5.0, median values: 0.215840122067759, and quantile values: 0.25 -0.317862\n0.50 0.215840\n0.75 0.732912\nName: 12461, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3640845457111657, std values: 1.008792455877225, min values: -2.148081053432388, max values: 4.278004674434932, median values: 0.3926275415951801, and quantile values: 0.25 -0.302441\n0.50 0.392628\n0.75 0.924257\nName: 12462, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5548347026260511, std values: 0.839002125759363, min values: -1.8951302471344744, max values: 5.0, median values: 0.6401824817240739, and quantile values: 0.25 -0.018204\n0.50 0.640182\n0.75 1.137081\nName: 12463, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24345077291050105, std values: 0.9140021065301953, min values: -2.066019572692439, max values: 3.784832159836258, median values: -0.3666082464769138, and quantile values: 0.25 -0.969578\n0.50 -0.366608\n0.75 0.357936\nName: 12464, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10359578846311907, std values: 0.8731514805553661, min values: -2.3771558481240653, max values: 4.0, median values: 0.0001927751926069, and quantile values: 0.25 -0.535344\n0.50 0.000193\n0.75 0.683924\nName: 12465, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04952185515519925, std values: 1.2206389295310416, min values: -2.6800544037614658, max values: 4.0, median values: 0.1563625781164394, and quantile values: 0.25 -0.809408\n0.50 0.156363\n0.75 0.861545\nName: 12466, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6287024476914874, std values: 1.0767490467219185, min values: -3.0687217584296813, max values: 2.85639829253406, median values: -0.698526624431206, and quantile values: 0.25 -1.633882\n0.50 -0.698527\n0.75 0.196202\nName: 12467, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13741827660261394, std values: 0.886643063302081, min values: -2.724017888297919, max values: 3.258347009006034, median values: 0.167056157448911, and quantile values: 0.25 -0.420859\n0.50 0.167056\n0.75 0.744162\nName: 12468, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20369645200981631, std values: 0.8672250365299956, min values: -2.00361829438983, max values: 6.0, median values: -0.2944650726285181, and quantile values: 0.25 -0.879253\n0.50 -0.294465\n0.75 0.392211\nName: 12469, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20691834369835202, std values: 1.1115058489327905, min values: -2.486556664247513, max values: 3.0, median values: 0.3385399261346467, and quantile values: 0.25 -0.656892\n0.50 0.338540\n0.75 1.101884\nName: 12470, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10177292395284522, std values: 1.0025471452387844, min values: -2.510124273981921, max values: 3.132053530264631, median values: 0.024457348019826, and quantile values: 0.25 -0.609109\n0.50 0.024457\n0.75 0.817572\nName: 12471, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34893840197424086, std values: 0.8534610540440231, min values: -1.9964905264151551, max values: 4.0, median values: 0.372985629680404, and quantile values: 0.25 -0.196764\n0.50 0.372986\n0.75 0.877862\nName: 12472, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6092191675898121, std values: 0.8074389733962996, min values: -2.6652153608723106, max values: 3.0, median values: -0.7443648266576293, and quantile values: 0.25 -1.210508\n0.50 -0.744365\n0.75 -0.132882\nName: 12473, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16859272996320512, std values: 0.8401074711694653, min values: -2.8282523283494294, max values: 4.0, median values: 0.1267596099868637, and quantile values: 0.25 -0.353420\n0.50 0.126760\n0.75 0.672133\nName: 12474, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22204746979289114, std values: 0.7802220479828363, min values: -2.349293916724472, max values: 3.169414082461771, median values: 0.1723652984166211, and quantile values: 0.25 -0.282161\n0.50 0.172365\n0.75 0.720753\nName: 12475, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4772888216506265, std values: 0.8556270583258291, min values: -2.198914793084587, max values: 5.0, median values: -0.5339266331309087, and quantile values: 0.25 -1.181902\n0.50 -0.533927\n0.75 0.119085\nName: 12476, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16871948022457112, std values: 0.8752240523399272, min values: -2.673549169958716, max values: 6.0, median values: -0.1392303372600923, and quantile values: 0.25 -0.742776\n0.50 -0.139230\n0.75 0.363432\nName: 12477, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2802371417562176, std values: 0.8848158241977402, min values: -2.643887016977268, max values: 6.0, median values: 0.3877985010000884, and quantile values: 0.25 -0.178870\n0.50 0.387799\n0.75 0.841817\nName: 12478, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4423510514076413, std values: 0.908997469852103, min values: -2.6652153608723106, max values: 5.0, median values: 0.5943557090116888, and quantile values: 0.25 -0.048186\n0.50 0.594356\n0.75 1.075583\nName: 12479, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2134535772633345, std values: 1.052571154683181, min values: -2.8282523283494294, max values: 4.0, median values: -0.2507414750024295, and quantile values: 0.25 -0.887387\n0.50 -0.250741\n0.75 0.449904\nName: 12480, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5036034258998316, std values: 0.8982475042081419, min values: -2.5046447434119337, max values: 4.0, median values: 0.5381832999951242, and quantile values: 0.25 -0.132194\n0.50 0.538183\n0.75 1.205117\nName: 12481, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07363549614509575, std values: 0.8349524906094673, min values: -2.788272971802125, max values: 3.9905524164385566, median values: 0.1027542842373274, and quantile values: 0.25 -0.361109\n0.50 0.102754\n0.75 0.560711\nName: 12482, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1300240508152088, std values: 0.8827593920231325, min values: -2.1232984465035774, max values: 5.0, median values: -0.2023604862353392, and quantile values: 0.25 -0.803725\n0.50 -0.202360\n0.75 0.463568\nName: 12483, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08640924923066225, std values: 0.7802505065338904, min values: -2.8451834694312192, max values: 3.0, median values: -0.0555223300168102, and quantile values: 0.25 -0.600615\n0.50 -0.055522\n0.75 0.411916\nName: 12484, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34240626561771376, std values: 0.9102816844391589, min values: -2.6850842010492566, max values: 6.0, median values: 0.3491415018775741, and quantile values: 0.25 -0.283121\n0.50 0.349142\n0.75 1.004177\nName: 12485, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4829388223798324, std values: 0.9768493617892217, min values: -2.4155646589018365, max values: 3.496479817235339, median values: -0.6011813985697152, and quantile values: 0.25 -1.306990\n0.50 -0.601181\n0.75 0.194041\nName: 12486, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15422921717078936, std values: 0.8611842137714338, min values: -2.7648443048846945, max values: 3.667275230673496, median values: 0.213864654895672, and quantile values: 0.25 -0.456710\n0.50 0.213865\n0.75 0.789128\nName: 12487, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11433986960861611, std values: 0.9535505950384573, min values: -2.0669513462950864, max values: 6.0, median values: -0.0941332599189244, and quantile values: 0.25 -0.897490\n0.50 -0.094133\n0.75 0.566424\nName: 12488, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16516602154517665, std values: 1.0164176886193514, min values: -2.632854336056873, max values: 3.4758930087721422, median values: -0.2132729885787924, and quantile values: 0.25 -0.935080\n0.50 -0.213273\n0.75 0.548154\nName: 12489, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.1016064346769703, std values: 1.2814997108873099, min values: -2.727901130262228, max values: 4.0, median values: -1.795444383944364, and quantile values: 0.25 -2.159962\n0.50 -1.795444\n0.75 0.050473\nName: 12490, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5024803655827931, std values: 1.3221363661126624, min values: -2.673549169958716, max values: 6.0, median values: 0.4079636342046718, and quantile values: 0.25 -0.459830\n0.50 0.407964\n0.75 1.640607\nName: 12491, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4976226860082138, std values: 0.908630174024538, min values: -2.5825978442440407, max values: 6.0, median values: -0.6576782655243274, and quantile values: 0.25 -1.185175\n0.50 -0.657678\n0.75 0.051273\nName: 12492, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.007960450903050602, std values: 0.9353718694427103, min values: -2.209283142861864, max values: 6.0, median values: -0.1227579893663398, and quantile values: 0.25 -0.739914\n0.50 -0.122758\n0.75 0.599823\nName: 12493, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2283173864829414, std values: 1.2035726499093409, min values: -2.684072796644972, max values: 6.0, median values: -0.0458670159657123, and quantile values: 0.25 -1.132102\n0.50 -0.045867\n0.75 0.610436\nName: 12494, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13423951292126204, std values: 0.8450839324345897, min values: -2.8350118695332047, max values: 5.0, median values: -0.1423897755965949, and quantile values: 0.25 -0.625945\n0.50 -0.142390\n0.75 0.353799\nName: 12495, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7602765788043946, std values: 1.3176674423470736, min values: -2.842989614395848, max values: 5.0, median values: 0.6569604795933779, and quantile values: 0.25 -0.174861\n0.50 0.656960\n0.75 1.840080\nName: 12496, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1254652108789404, std values: 0.8088517798299856, min values: -2.9898739724800576, max values: 3.379902545505621, median values: -0.1427631884447281, and quantile values: 0.25 -0.704148\n0.50 -0.142763\n0.75 0.375107\nName: 12497, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09592846155638185, std values: 0.9839344703936338, min values: -2.6270253558526173, max values: 4.0, median values: 0.1274380329690518, and quantile values: 0.25 -0.496324\n0.50 0.127438\n0.75 0.763521\nName: 12498, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10787752182074302, std values: 1.3713250125470218, min values: -2.981718296512785, max values: 5.0, median values: 0.3338443253140163, and quantile values: 0.25 -0.803584\n0.50 0.333844\n0.75 1.039702\nName: 12499, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.373366311971675, std values: 0.7933580898355654, min values: -1.946974117229094, max values: 3.319774799707247, median values: 0.3743288289186453, and quantile values: 0.25 -0.126383\n0.50 0.374329\n0.75 0.902776\nName: 12500, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2764765213336124, std values: 0.8340596888453125, min values: -2.6685266729136536, max values: 6.0, median values: -0.3634756501724996, and quantile values: 0.25 -0.873735\n0.50 -0.363476\n0.75 0.247011\nName: 12501, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.705641763458245, std values: 1.007927797264765, min values: -2.174309863242296, max values: 3.258347009006034, median values: 0.7113439127300271, and quantile values: 0.25 -0.064652\n0.50 0.711344\n0.75 1.526461\nName: 12502, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15603720641137742, std values: 1.3635367390690045, min values: -2.769191083399913, max values: 3.3483277116524426, median values: 0.2614032040196827, and quantile values: 0.25 -0.700371\n0.50 0.261403\n0.75 1.168131\nName: 12503, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11432767510678635, std values: 0.9724667184514981, min values: -2.4823451998031074, max values: 4.243835016543704, median values: 0.2090955550011792, and quantile values: 0.25 -0.551920\n0.50 0.209096\n0.75 0.833385\nName: 12504, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2953550016669621, std values: 0.8504786548176704, min values: -2.1067975134574946, max values: 3.2906806286429298, median values: 0.3485684699187696, and quantile values: 0.25 -0.317930\n0.50 0.348568\n0.75 0.952187\nName: 12505, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21178477407279547, std values: 0.9537062209629139, min values: -2.048647522117408, max values: 5.0, median values: 0.2382004094738885, and quantile values: 0.25 -0.510711\n0.50 0.238200\n0.75 0.975124\nName: 12506, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16194793036870897, std values: 0.8264298031602051, min values: -2.498167042831793, max values: 3.060952636712705, median values: 0.2187135223648768, and quantile values: 0.25 -0.373512\n0.50 0.218714\n0.75 0.733560\nName: 12507, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5785999623167144, std values: 1.0165179837725606, min values: -2.6701933641154194, max values: 3.784832159836258, median values: -0.77718979368596, and quantile values: 0.25 -1.415784\n0.50 -0.777190\n0.75 0.077528\nName: 12508, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05826025624165883, std values: 0.8020050372538835, min values: -2.321103531050575, max values: 4.0, median values: -0.1411397679452198, and quantile values: 0.25 -0.651099\n0.50 -0.141140\n0.75 0.491738\nName: 12509, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3749453251788643, std values: 0.7609282967214744, min values: -2.662750916816848, max values: 5.0, median values: 0.3709443630923671, and quantile values: 0.25 -0.077812\n0.50 0.370944\n0.75 0.848232\nName: 12510, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5744693776147821, std values: 1.0428526206128879, min values: -2.525881048269423, max values: 3.397048482165858, median values: 0.5951610211441913, and quantile values: 0.25 -0.245762\n0.50 0.595161\n0.75 1.442559\nName: 12511, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27744879287278107, std values: 0.7989782687308099, min values: -1.9527774817773649, max values: 3.3483277116524426, median values: 0.3298177836067891, and quantile values: 0.25 -0.286911\n0.50 0.329818\n0.75 0.814652\nName: 12512, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17324481297855374, std values: 0.8534965998074919, min values: -2.506827530467421, max values: 4.243835016543704, median values: -0.2706473530990804, and quantile values: 0.25 -0.754847\n0.50 -0.270647\n0.75 0.315651\nName: 12513, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08641829799155065, std values: 1.234896964725477, min values: -2.9622221028070275, max values: 6.0, median values: 0.3906283587641991, and quantile values: 0.25 -0.565164\n0.50 0.390628\n0.75 0.981225\nName: 12514, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.718715867804819, std values: 0.9266489547370801, min values: -3.1175233493066874, max values: 3.2328207660681025, median values: -0.8620067457144475, and quantile values: 0.25 -1.500469\n0.50 -0.862007\n0.75 -0.107175\nName: 12515, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10550795066973707, std values: 0.9641310341924942, min values: -2.4960309093026924, max values: 3.306454397423372, median values: 0.0288144477540232, and quantile values: 0.25 -0.690200\n0.50 0.028814\n0.75 0.831847\nName: 12516, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16648535861524447, std values: 1.0036179398139276, min values: -2.35889192159389, max values: 4.278004674434932, median values: -0.3007306351095994, and quantile values: 0.25 -0.914914\n0.50 -0.300731\n0.75 0.459126\nName: 12517, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5652228417492007, std values: 0.9845970050877814, min values: -3.0148736195915964, max values: 3.1841025362512254, median values: -0.6257153987728631, and quantile values: 0.25 -1.241994\n0.50 -0.625715\n0.75 0.056043\nName: 12518, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30310260493313035, std values: 0.9115882701608963, min values: -2.300042081328127, max values: 4.0, median values: -0.471708743044054, and quantile values: 0.25 -0.971026\n0.50 -0.471709\n0.75 0.238930\nName: 12519, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1632275423167993, std values: 0.7901331115644891, min values: -2.0184711798619435, max values: 5.0, median values: 0.1973254800447251, and quantile values: 0.25 -0.390190\n0.50 0.197325\n0.75 0.700398\nName: 12520, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12248375721714752, std values: 0.9069817663797574, min values: -2.687115288423959, max values: 5.0, median values: 0.2077824794265886, and quantile values: 0.25 -0.490912\n0.50 0.207782\n0.75 0.711983\nName: 12521, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10681406320449575, std values: 0.8472330084667834, min values: -2.021990593288096, max values: 4.278004674434932, median values: 0.0556643563489303, and quantile values: 0.25 -0.443460\n0.50 0.055664\n0.75 0.624279\nName: 12522, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.175482236051933, std values: 0.8411784708395744, min values: -2.099713839971814, max values: 5.0, median values: 0.2654803830483517, and quantile values: 0.25 -0.368320\n0.50 0.265480\n0.75 0.746174\nName: 12523, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07755468146524015, std values: 0.8866684563849978, min values: -2.4902145713898545, max values: 3.260388056018088, median values: 0.0887457449871469, and quantile values: 0.25 -0.475691\n0.50 0.088746\n0.75 0.648339\nName: 12524, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25163479082354, std values: 0.7518866031993239, min values: -2.4737574649270093, max values: 3.721862465295849, median values: 0.2649373523658802, and quantile values: 0.25 -0.220858\n0.50 0.264937\n0.75 0.695092\nName: 12525, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5282040787897591, std values: 0.9483790532370047, min values: -2.7314147016889114, max values: 3.224152805256112, median values: 0.618659641758589, and quantile values: 0.25 -0.149595\n0.50 0.618660\n0.75 1.295582\nName: 12526, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2346210631775239, std values: 0.9981508197534048, min values: -2.768099476935624, max values: 6.0, median values: -0.2829231184338835, and quantile values: 0.25 -1.075002\n0.50 -0.282923\n0.75 0.485141\nName: 12527, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5046635473739015, std values: 1.0701807237987913, min values: -2.748993280390358, max values: 3.9048392686725855, median values: 0.6159145281066869, and quantile values: 0.25 -0.302586\n0.50 0.615915\n0.75 1.404377\nName: 12528, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.028584582838152132, std values: 0.9231681999300217, min values: -2.6899145007874274, max values: 3.071284484560209, median values: 0.0634776137610165, and quantile values: 0.25 -0.473073\n0.50 0.063478\n0.75 0.534281\nName: 12529, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25374085087534354, std values: 1.040486688131661, min values: -2.679056533720636, max values: 5.0, median values: 0.3420960365625898, and quantile values: 0.25 -0.433963\n0.50 0.342096\n0.75 0.939985\nName: 12530, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11386091383351049, std values: 0.9658606192561435, min values: -2.769191083399913, max values: 3.528773265847577, median values: 0.2711044476007775, and quantile values: 0.25 -0.360170\n0.50 0.271104\n0.75 0.733280\nName: 12531, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11826181022867409, std values: 0.8209407547870206, min values: -2.3771558481240653, max values: 4.278004674434932, median values: 0.0843095129984787, and quantile values: 0.25 -0.454205\n0.50 0.084310\n0.75 0.650982\nName: 12532, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5591859841780862, std values: 1.0697311708475945, min values: -3.0484008792629496, max values: 5.0, median values: -0.5858759907724677, and quantile values: 0.25 -1.247912\n0.50 -0.585876\n0.75 0.138301\nName: 12533, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3995284805245468, std values: 1.1444692165902308, min values: -2.93129584560762, max values: 6.0, median values: -0.3579654765263641, and quantile values: 0.25 -1.089478\n0.50 -0.357965\n0.75 0.328421\nName: 12534, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4165500769336076, std values: 0.9792271790801398, min values: -2.5961021427111413, max values: 3.760287110694155, median values: 0.4284377826713558, and quantile values: 0.25 -0.194141\n0.50 0.428438\n0.75 1.012234\nName: 12535, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.021497893099319224, std values: 1.0542395543275835, min values: -2.73836943861057, max values: 3.496479817235339, median values: -0.1017402345121787, and quantile values: 0.25 -0.885362\n0.50 -0.101740\n0.75 0.761719\nName: 12536, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5804030683352287, std values: 0.964054640284779, min values: -2.374446373878101, max values: 4.0, median values: 0.6766721885356026, and quantile values: 0.25 -0.131493\n0.50 0.676672\n0.75 1.349176\nName: 12537, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2040915899222665, std values: 0.9847644105763013, min values: -2.7542003929097176, max values: 5.0, median values: -0.1327427456259192, and quantile values: 0.25 -0.761234\n0.50 -0.132743\n0.75 0.427104\nName: 12538, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40063961710402923, std values: 0.9268771880253602, min values: -2.862971749830789, max values: 3.197902420311553, median values: -0.4400223823988488, and quantile values: 0.25 -1.134565\n0.50 -0.440022\n0.75 0.264282\nName: 12539, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06004864820534286, std values: 0.8061878950463723, min values: -2.1238235090034925, max values: 5.0, median values: 0.0642591448026514, and quantile values: 0.25 -0.484521\n0.50 0.064259\n0.75 0.572578\nName: 12540, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4730738081753511, std values: 0.8106779048550586, min values: -2.3771558481240653, max values: 4.0, median values: -0.4771472447456567, and quantile values: 0.25 -1.123034\n0.50 -0.477147\n0.75 0.112820\nName: 12541, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4984408473622767, std values: 0.9952002747759179, min values: -2.799990485600992, max values: 5.0, median values: -0.6631239801442855, and quantile values: 0.25 -1.276248\n0.50 -0.663124\n0.75 0.176397\nName: 12542, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03833088051097667, std values: 0.8826046341584958, min values: -2.486556664247513, max values: 3.3483277116524426, median values: 0.0590786360954113, and quantile values: 0.25 -0.476485\n0.50 0.059079\n0.75 0.577926\nName: 12543, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3503020807663763, std values: 1.0331823065514927, min values: -2.642042398333877, max values: 3.434669824302974, median values: 0.496999363630391, and quantile values: 0.25 -0.309974\n0.50 0.496999\n0.75 1.131893\nName: 12544, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1418728531021206, std values: 0.7989620044096107, min values: -2.209826040384377, max values: 3.247416277295021, median values: 0.1183299127392208, and quantile values: 0.25 -0.380013\n0.50 0.118330\n0.75 0.647947\nName: 12545, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32501157813444803, std values: 1.1022482197083319, min values: -2.8680719719444903, max values: 3.349054967837474, median values: 0.4336767595806071, and quantile values: 0.25 -0.340017\n0.50 0.433677\n0.75 1.167383\nName: 12546, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22541899460367093, std values: 0.727474731041765, min values: -2.0567990530927305, max values: 4.0, median values: 0.2595558492280819, and quantile values: 0.25 -0.244428\n0.50 0.259556\n0.75 0.733380\nName: 12547, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 1.2427072196112097, std values: 1.2730792708829146, min values: -2.842989614395848, max values: 5.0, median values: 1.408099450838196, and quantile values: 0.25 0.475128\n0.50 1.408099\n0.75 2.142044\nName: 12548, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14339404352018054, std values: 1.004369345527879, min values: -2.608390851963037, max values: 5.0, median values: 0.2633699674944363, and quantile values: 0.25 -0.497851\n0.50 0.263370\n0.75 0.842989\nName: 12549, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.015828118439394967, std values: 0.9933054691900635, min values: -2.01342226034284, max values: 5.0, median values: -0.2179520255126335, and quantile values: 0.25 -0.760866\n0.50 -0.217952\n0.75 0.576055\nName: 12550, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11787247904912251, std values: 0.7529486323044171, min values: -2.2423374092797945, max values: 3.215720519334646, median values: 0.0753361441124999, and quantile values: 0.25 -0.374280\n0.50 0.075336\n0.75 0.544285\nName: 12551, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39426958286267183, std values: 0.9151459049176036, min values: -2.799990485600992, max values: 5.0, median values: 0.480746679930622, and quantile values: 0.25 -0.215866\n0.50 0.480747\n0.75 0.992572\nName: 12552, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24803072689820008, std values: 0.8726243317976295, min values: -2.62876542141649, max values: 3.1888787873512885, median values: 0.3300032650338441, and quantile values: 0.25 -0.376307\n0.50 0.330003\n0.75 0.888586\nName: 12553, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0982702250887331, std values: 0.8513035660535389, min values: -2.572123985342288, max values: 4.0, median values: 0.1406651520572281, and quantile values: 0.25 -0.517398\n0.50 0.140665\n0.75 0.662035\nName: 12554, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09947383794547003, std values: 1.0727588832138872, min values: -2.93129584560762, max values: 6.0, median values: 0.203687452112212, and quantile values: 0.25 -0.453496\n0.50 0.203687\n0.75 0.798177\nName: 12555, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18959009836770643, std values: 1.0220575698172154, min values: -2.572123985342288, max values: 5.0, median values: 0.2672209390256693, and quantile values: 0.25 -0.571569\n0.50 0.267221\n0.75 1.014720\nName: 12556, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08548446742006768, std values: 0.7350895681680824, min values: -2.3569872127799405, max values: 6.0, median values: 0.0755130422374115, and quantile values: 0.25 -0.378413\n0.50 0.075513\n0.75 0.525633\nName: 12557, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3731828259077788, std values: 0.8731491774786472, min values: -2.0207160942359104, max values: 3.02009942896863, median values: 0.4261088041258625, and quantile values: 0.25 -0.260094\n0.50 0.426109\n0.75 1.018154\nName: 12558, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23905472550929366, std values: 0.9925564580092489, min values: -2.4902145713898545, max values: 3.216771431244405, median values: 0.3573195982170366, and quantile values: 0.25 -0.422132\n0.50 0.357320\n0.75 0.989906\nName: 12559, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5049649847716573, std values: 0.9709362105057289, min values: -2.740813841730953, max values: 4.278004674434932, median values: -0.4640517814162339, and quantile values: 0.25 -1.189578\n0.50 -0.464052\n0.75 0.189357\nName: 12560, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17731161135673054, std values: 0.7162826740016544, min values: -2.5631847770497496, max values: 4.278004674434932, median values: -0.2044630675104303, and quantile values: 0.25 -0.663154\n0.50 -0.204463\n0.75 0.227758\nName: 12561, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.012931088808428965, std values: 0.8880699514445476, min values: -2.300042081328127, max values: 4.0, median values: 0.0140866305235015, and quantile values: 0.25 -0.687319\n0.50 0.014087\n0.75 0.715764\nName: 12562, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3135776039048214, std values: 0.9279846752575496, min values: -2.5156802245814003, max values: 4.0, median values: -0.3604035467900059, and quantile values: 0.25 -0.982393\n0.50 -0.360404\n0.75 0.257454\nName: 12563, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03376380244853399, std values: 0.9685405213492214, min values: -2.156806272086999, max values: 3.670892362631932, median values: -0.1481508912888375, and quantile values: 0.25 -0.719504\n0.50 -0.148151\n0.75 0.539003\nName: 12564, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16673751653987318, std values: 0.8738169355368548, min values: -2.5953860446419177, max values: 3.197902420311553, median values: 0.2246688862351485, and quantile values: 0.25 -0.338465\n0.50 0.224669\n0.75 0.776140\nName: 12565, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17938388449623485, std values: 0.7858474515776035, min values: -2.015940296429874, max values: 3.9905524164385566, median values: 0.2211398786893794, and quantile values: 0.25 -0.357995\n0.50 0.221140\n0.75 0.714391\nName: 12566, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43726162500764243, std values: 1.0065846307698507, min values: -2.788272971802125, max values: 6.0, median values: -0.5341992055655623, and quantile values: 0.25 -1.169370\n0.50 -0.534199\n0.75 0.290016\nName: 12567, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14332021829084, std values: 0.9454215510020896, min values: -2.5201815750705507, max values: 4.0, median values: -0.1197342623185975, and quantile values: 0.25 -0.833214\n0.50 -0.119734\n0.75 0.571486\nName: 12568, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13924563335916426, std values: 0.8474279973514662, min values: -2.5774281843044924, max values: 6.0, median values: -0.1201117324329323, and quantile values: 0.25 -0.720383\n0.50 -0.120112\n0.75 0.375191\nName: 12569, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1888430433476467, std values: 0.8202875041646158, min values: -2.5825978442440407, max values: 6.0, median values: 0.2156465941384908, and quantile values: 0.25 -0.371643\n0.50 0.215647\n0.75 0.707362\nName: 12570, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07933529915662796, std values: 0.9155000016544662, min values: -2.5961021427111413, max values: 3.041094191308108, median values: -0.1627570401798783, and quantile values: 0.25 -0.713629\n0.50 -0.162757\n0.75 0.513109\nName: 12571, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5105802855620329, std values: 1.2815743610417512, min values: -2.9797100147087465, max values: 5.0, median values: 0.6349694504859408, and quantile values: 0.25 -0.423728\n0.50 0.634969\n0.75 1.525578\nName: 12572, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29760421102902823, std values: 0.9133476042553091, min values: -2.073997500902293, max values: 6.0, median values: 0.4153654833602221, and quantile values: 0.25 -0.348732\n0.50 0.415365\n0.75 0.947000\nName: 12573, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3604765075832062, std values: 0.9509204958927522, min values: -2.0648102585467867, max values: 3.280245386470253, median values: 0.4024329640595407, and quantile values: 0.25 -0.373394\n0.50 0.402433\n0.75 1.151017\nName: 12574, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09335216751413546, std values: 0.7417855008213193, min values: -2.1667085223812474, max values: 5.0, median values: -0.0858276044584303, and quantile values: 0.25 -0.584726\n0.50 -0.085828\n0.75 0.358582\nName: 12575, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2073491349231959, std values: 0.8293900329465347, min values: -2.4564928597243227, max values: 4.0, median values: -0.2064038036873971, and quantile values: 0.25 -0.815127\n0.50 -0.206404\n0.75 0.264881\nName: 12576, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09885932951086626, std values: 0.9975869805737124, min values: -3.002493140275396, max values: 5.0, median values: 0.2511561141829138, and quantile values: 0.25 -0.428516\n0.50 0.251156\n0.75 0.773545\nName: 12577, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1806272677645775, std values: 0.9652528100171404, min values: -2.4436576857913845, max values: 3.2071942083719924, median values: -0.1106026529597628, and quantile values: 0.25 -0.950888\n0.50 -0.110603\n0.75 0.549912\nName: 12578, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03854751276540204, std values: 0.8338037924759177, min values: -2.578636826083145, max values: 5.0, median values: -0.0073255227917709, and quantile values: 0.25 -0.521783\n0.50 -0.007326\n0.75 0.548209\nName: 12579, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18407553409850025, std values: 1.0303853975374784, min values: -2.657750824678472, max values: 5.0, median values: 0.2826651530535689, and quantile values: 0.25 -0.396051\n0.50 0.282665\n0.75 0.867796\nName: 12580, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22759961584743735, std values: 1.2798651105096923, min values: -2.579952672199424, max values: 6.0, median values: 0.0484606127250871, and quantile values: 0.25 -0.796099\n0.50 0.048461\n0.75 1.162817\nName: 12581, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25277482337590634, std values: 0.8094264301029596, min values: -2.000669917329396, max values: 5.0, median values: 0.298530589208909, and quantile values: 0.25 -0.337195\n0.50 0.298531\n0.75 0.827979\nName: 12582, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13720007474697488, std values: 1.032088343479288, min values: -2.240740315114864, max values: 4.0, median values: -0.2573564987615708, and quantile values: 0.25 -0.970874\n0.50 -0.257356\n0.75 0.594851\nName: 12583, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.004202259953294598, std values: 0.8759045762274776, min values: -2.3771558481240653, max values: 4.0, median values: -0.111683340389495, and quantile values: 0.25 -0.628452\n0.50 -0.111683\n0.75 0.545821\nName: 12584, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25542110758701797, std values: 1.036449410583718, min values: -2.673549169958716, max values: 6.0, median values: -0.3410438325954306, and quantile values: 0.25 -1.008381\n0.50 -0.341044\n0.75 0.427617\nName: 12585, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12538095936550145, std values: 0.7956125652599713, min values: -1.9701398710040925, max values: 3.477886732511886, median values: 0.1946865764827526, and quantile values: 0.25 -0.391141\n0.50 0.194687\n0.75 0.653731\nName: 12586, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06493267115542516, std values: 1.0561904888509608, min values: -3.0148736195915964, max values: 3.9905524164385566, median values: -0.0573687607405716, and quantile values: 0.25 -0.590597\n0.50 -0.057369\n0.75 0.551806\nName: 12587, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3697984399568925, std values: 0.7455529096719734, min values: -1.9514816223609808, max values: 4.0, median values: 0.3598170497087287, and quantile values: 0.25 -0.085045\n0.50 0.359817\n0.75 0.829323\nName: 12588, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2718779350613765, std values: 1.2435076506100426, min values: -2.9029979285382743, max values: 3.162318759909359, median values: -0.1075275528412728, and quantile values: 0.25 -1.063628\n0.50 -0.107528\n0.75 0.654931\nName: 12589, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21543695281682618, std values: 0.7383966462812723, min values: -2.2423374092797945, max values: 3.3483277116524426, median values: 0.1685524164673291, and quantile values: 0.25 -0.221383\n0.50 0.168552\n0.75 0.645962\nName: 12590, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2688389488605706, std values: 0.9770228003904593, min values: -2.8246479422601736, max values: 6.0, median values: -0.2488849318613891, and quantile values: 0.25 -0.814691\n0.50 -0.248885\n0.75 0.319454\nName: 12591, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0017534449168647545, std values: 0.8248560046957315, min values: -2.9797100147087465, max values: 5.0, median values: 0.0396945718398669, and quantile values: 0.25 -0.558746\n0.50 0.039695\n0.75 0.544382\nName: 12592, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2417544142313121, std values: 1.089393017332282, min values: -2.634919142586459, max values: 6.0, median values: -0.3332886025011592, and quantile values: 0.25 -1.133462\n0.50 -0.333289\n0.75 0.587535\nName: 12593, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36945166487853864, std values: 0.8818364349285838, min values: -2.09925610156575, max values: 3.2328207660681025, median values: -0.408470602160905, and quantile values: 0.25 -1.107054\n0.50 -0.408471\n0.75 0.256013\nName: 12594, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49614973356685904, std values: 1.2009032839414058, min values: -3.0484008792629496, max values: 5.0, median values: -0.6409078885254186, and quantile values: 0.25 -1.401504\n0.50 -0.640908\n0.75 0.402133\nName: 12595, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5537320709721628, std values: 1.1029509365548864, min values: -2.054559691347624, max values: 3.627976272701048, median values: 0.5692071676384804, and quantile values: 0.25 -0.292161\n0.50 0.569207\n0.75 1.460313\nName: 12596, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17078953633972085, std values: 0.845175103584185, min values: -2.0401882913920346, max values: 3.5581019918925243, median values: -0.1815121417261483, and quantile values: 0.25 -0.800876\n0.50 -0.181512\n0.75 0.418822\nName: 12597, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05544570805542159, std values: 0.8692075322054812, min values: -2.9029979285382743, max values: 3.8226908388056136, median values: 0.0244848955798838, and quantile values: 0.25 -0.506442\n0.50 0.024485\n0.75 0.563485\nName: 12598, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.019405628173550613, std values: 0.8317794684236445, min values: -2.1577749705003586, max values: 3.5427287984042666, median values: 0.0142658480340939, and quantile values: 0.25 -0.649189\n0.50 0.014266\n0.75 0.626290\nName: 12599, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09662382530779566, std values: 0.9221811013626267, min values: -2.6652153608723106, max values: 5.0, median values: -0.0150321109412637, and quantile values: 0.25 -0.595048\n0.50 -0.015032\n0.75 0.472294\nName: 12600, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21680270349983086, std values: 0.8286342108803377, min values: -2.3922473154067863, max values: 5.0, median values: 0.2116085306300889, and quantile values: 0.25 -0.322162\n0.50 0.211609\n0.75 0.750897\nName: 12601, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8639500674448782, std values: 1.1238822252258653, min values: -1.9851076275876705, max values: 6.0, median values: 0.8824229415264833, and quantile values: 0.25 0.031676\n0.50 0.882423\n0.75 1.745601\nName: 12602, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4744655977307795, std values: 0.9757275595563059, min values: -3.236860296211546, max values: 2.75106718177298, median values: -0.51673739803532, and quantile values: 0.25 -1.133306\n0.50 -0.516737\n0.75 0.193676\nName: 12603, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4271287952230964, std values: 0.8576181640515806, min values: -3.002493140275396, max values: 5.0, median values: 0.4643150108189822, and quantile values: 0.25 -0.186526\n0.50 0.464315\n0.75 1.094837\nName: 12604, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2699402008530747, std values: 0.8918790305605605, min values: -2.0449028928953306, max values: 3.670892362631932, median values: 0.2040976776652079, and quantile values: 0.25 -0.372833\n0.50 0.204098\n0.75 0.884018\nName: 12605, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15458674296956498, std values: 0.8690225755876554, min values: -2.349293916724472, max values: 3.017846660960028, median values: 0.217824250857721, and quantile values: 0.25 -0.507976\n0.50 0.217824\n0.75 0.852621\nName: 12606, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20434977201457225, std values: 0.784456763009815, min values: -2.6850842010492566, max values: 6.0, median values: 0.1822399544936758, and quantile values: 0.25 -0.254399\n0.50 0.182240\n0.75 0.662266\nName: 12607, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10833978874398002, std values: 0.8490600974159469, min values: -2.634919142586459, max values: 6.0, median values: -0.0434065769600667, and quantile values: 0.25 -0.605150\n0.50 -0.043407\n0.75 0.401288\nName: 12608, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16300072068575483, std values: 0.9807957685137247, min values: -2.6800544037614658, max values: 4.0, median values: -0.096454328756167, and quantile values: 0.25 -0.724648\n0.50 -0.096454\n0.75 0.420679\nName: 12609, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22406938443027086, std values: 0.8503337170478227, min values: -2.5682675825126706, max values: 5.0, median values: 0.283754468397729, and quantile values: 0.25 -0.382402\n0.50 0.283754\n0.75 0.836609\nName: 12610, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10744878416161277, std values: 1.031785631750297, min values: -2.7688682710567485, max values: 3.0876051304901218, median values: 0.0536447608843693, and quantile values: 0.25 -0.591525\n0.50 0.053645\n0.75 0.855556\nName: 12611, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15455891552588805, std values: 0.8905076437612949, min values: -2.5156802245814003, max values: 4.0, median values: -0.1529900078308032, and quantile values: 0.25 -0.743773\n0.50 -0.152990\n0.75 0.379962\nName: 12612, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15923319213807752, std values: 0.9056825870847451, min values: -2.510124273981921, max values: 3.162318759909359, median values: -0.0882949265814039, and quantile values: 0.25 -0.791694\n0.50 -0.088295\n0.75 0.433209\nName: 12613, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18965719286733754, std values: 0.948898237171266, min values: -2.572123985342288, max values: 4.0, median values: 0.1491172844836821, and quantile values: 0.25 -0.534935\n0.50 0.149117\n0.75 0.948640\nName: 12614, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.007255835906920474, std values: 0.813317712287068, min values: -2.125402219364062, max values: 6.0, median values: -0.0747071991728694, and quantile values: 0.25 -0.528456\n0.50 -0.074707\n0.75 0.474368\nName: 12615, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21519192542278898, std values: 0.8109762082508947, min values: -2.002070846090173, max values: 5.0, median values: 0.1557644760317537, and quantile values: 0.25 -0.370732\n0.50 0.155764\n0.75 0.751399\nName: 12616, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15751781082142924, std values: 0.7591798846515112, min values: -2.5213149333948146, max values: 3.627976272701048, median values: -0.211681040068935, and quantile values: 0.25 -0.644369\n0.50 -0.211681\n0.75 0.291274\nName: 12617, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2845326553124841, std values: 0.9787243582034073, min values: -2.622408470084112, max values: 3.281452258958016, median values: -0.2333764124516273, and quantile values: 0.25 -0.903764\n0.50 -0.233376\n0.75 0.415958\nName: 12618, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09336603102308604, std values: 0.8107592382386333, min values: -2.8121055320525654, max values: 5.0, median values: 0.0042542236362579, and quantile values: 0.25 -0.484738\n0.50 0.004254\n0.75 0.644572\nName: 12619, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1701698539111098, std values: 0.7611490240089236, min values: -2.0748754825589795, max values: 2.7383694386105666, median values: 0.1591624430474698, and quantile values: 0.25 -0.291677\n0.50 0.159162\n0.75 0.634478\nName: 12620, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18076943539686133, std values: 1.0167780887208047, min values: -2.203573059693468, max values: 6.0, median values: -0.3166694061446079, and quantile values: 0.25 -0.995777\n0.50 -0.316669\n0.75 0.503133\nName: 12621, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.47533435902656096, std values: 0.8693456697039972, min values: -2.56026492390943, max values: 4.0, median values: -0.5876983495683964, and quantile values: 0.25 -1.096744\n0.50 -0.587698\n0.75 0.086800\nName: 12622, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3183101150049684, std values: 0.8404116552686428, min values: -2.7428415536925543, max values: 3.247416277295021, median values: -0.3602205201337015, and quantile values: 0.25 -0.908182\n0.50 -0.360221\n0.75 0.156983\nName: 12623, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20813993161410105, std values: 0.8515844174062748, min values: -2.5774281843044924, max values: 6.0, median values: 0.1820159555380861, and quantile values: 0.25 -0.365051\n0.50 0.182016\n0.75 0.791725\nName: 12624, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4116654258410662, std values: 0.9286859263199169, min values: -2.592001024453234, max values: 3.224152805256112, median values: -0.4763264000530418, and quantile values: 0.25 -1.183343\n0.50 -0.476326\n0.75 0.242187\nName: 12625, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4548678241981271, std values: 0.8143953959270329, min values: -2.0477799217050063, max values: 5.0, median values: 0.544796901045055, and quantile values: 0.25 -0.104592\n0.50 0.544797\n0.75 1.067856\nName: 12626, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45243016607836845, std values: 1.0257825168184085, min values: -2.6466193392086392, max values: 4.0, median values: -0.6022294105922469, and quantile values: 0.25 -1.201607\n0.50 -0.602229\n0.75 0.212118\nName: 12627, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1277195190565365, std values: 0.8997423052996469, min values: -2.1990897392378703, max values: 6.0, median values: -0.258383765085929, and quantile values: 0.25 -0.776300\n0.50 -0.258384\n0.75 0.446159\nName: 12628, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10247769047946265, std values: 0.9587345185784969, min values: -2.558791007225312, max values: 3.2266531185902125, median values: -0.19611642991682, and quantile values: 0.25 -0.708698\n0.50 -0.196116\n0.75 0.511426\nName: 12629, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5537045845298688, std values: 0.9931317729117062, min values: -2.4125199145038643, max values: 4.0, median values: 0.5866337699130912, and quantile values: 0.25 -0.160766\n0.50 0.586634\n0.75 1.281702\nName: 12630, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21417975950655155, std values: 0.8984238926524449, min values: -2.5689076212724418, max values: 5.0, median values: 0.2720429208535958, and quantile values: 0.25 -0.436223\n0.50 0.272043\n0.75 0.877619\nName: 12631, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15583700856256494, std values: 0.7962678891558266, min values: -2.5039074859839925, max values: 4.0, median values: 0.105344428857252, and quantile values: 0.25 -0.393819\n0.50 0.105344\n0.75 0.689746\nName: 12632, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35056046672643365, std values: 0.8827754368911835, min values: -2.091009825196596, max values: 4.0, median values: -0.4706009478890717, and quantile values: 0.25 -1.056279\n0.50 -0.470601\n0.75 0.222086\nName: 12633, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35172411725978275, std values: 0.9890077404000918, min values: -2.7016525309724218, max values: 2.6660404517971883, median values: -0.4011492243252426, and quantile values: 0.25 -1.193666\n0.50 -0.401149\n0.75 0.347388\nName: 12634, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41799728155992966, std values: 0.8876791994259816, min values: -2.724017888297919, max values: 4.243835016543704, median values: -0.4925651709210892, and quantile values: 0.25 -1.044299\n0.50 -0.492565\n0.75 0.106918\nName: 12635, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0906873702766057, std values: 0.851266374557141, min values: -2.7871422803648627, max values: 3.2696814875916886, median values: 0.0712769702697246, and quantile values: 0.25 -0.361403\n0.50 0.071277\n0.75 0.607877\nName: 12636, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3227261118057692, std values: 0.8561519192598165, min values: -2.0664852352279466, max values: 3.721862465295849, median values: 0.2731957980520139, and quantile values: 0.25 -0.237471\n0.50 0.273196\n0.75 0.869578\nName: 12637, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8520181959211066, std values: 0.8084164013576334, min values: -2.226424194672579, max values: 4.0, median values: -0.9756330921063237, and quantile values: 0.25 -1.528938\n0.50 -0.975633\n0.75 -0.344653\nName: 12638, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05977746276313357, std values: 0.7411486680818427, min values: -2.119621483749997, max values: 3.3636961113187773, median values: 0.0747009550609019, and quantile values: 0.25 -0.411618\n0.50 0.074701\n0.75 0.538674\nName: 12639, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2408258638464123, std values: 1.0146054974135055, min values: -2.981718296512785, max values: 5.0, median values: -0.133103933489065, and quantile values: 0.25 -0.805577\n0.50 -0.133104\n0.75 0.388589\nName: 12640, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5463803009850544, std values: 0.7852069431892181, min values: -2.584593648802428, max values: 3.281452258958016, median values: -0.6723477497793963, and quantile values: 0.25 -1.091233\n0.50 -0.672348\n0.75 -0.151632\nName: 12641, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3183288046172001, std values: 0.8251981613834815, min values: -1.9429008804110803, max values: 5.0, median values: 0.3113031085308542, and quantile values: 0.25 -0.211949\n0.50 0.311303\n0.75 0.795612\nName: 12642, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1542199031471186, std values: 0.8414803165624938, min values: -2.9472833478224456, max values: 6.0, median values: -0.230936564804843, and quantile values: 0.25 -0.799218\n0.50 -0.230937\n0.75 0.428855\nName: 12643, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28091677375333646, std values: 0.8019222395721955, min values: -2.082591134335169, max values: 5.0, median values: -0.4056205823094404, and quantile values: 0.25 -0.828197\n0.50 -0.405621\n0.75 0.172672\nName: 12644, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0028548207216782433, std values: 1.0773146359546495, min values: -2.9666813816765707, max values: 4.0, median values: 0.0382736049790945, and quantile values: 0.25 -0.583057\n0.50 0.038274\n0.75 0.690015\nName: 12645, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6171488982843499, std values: 0.9370879403739945, min values: -2.726850559923524, max values: 4.0, median values: -0.7738788853341623, and quantile values: 0.25 -1.388678\n0.50 -0.773879\n0.75 -0.007050\nName: 12646, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1216122111830637, std values: 1.0619658283360551, min values: -2.739804196611005, max values: 6.0, median values: 0.2772214600367453, and quantile values: 0.25 -0.339382\n0.50 0.277221\n0.75 0.796229\nName: 12647, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.050666225035056175, std values: 0.8718020983586702, min values: -2.56026492390943, max values: 4.0, median values: -0.0554986590704195, and quantile values: 0.25 -0.582796\n0.50 -0.055499\n0.75 0.461342\nName: 12648, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28914902770062706, std values: 0.9269013458208835, min values: -3.4217036547572723, max values: 3.5581019918925243, median values: -0.3118025892966143, and quantile values: 0.25 -0.857988\n0.50 -0.311803\n0.75 0.247572\nName: 12649, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.160869098298723, std values: 0.882001845069687, min values: -2.733804248449497, max values: 4.243835016543704, median values: 0.270179457952091, and quantile values: 0.25 -0.329843\n0.50 0.270179\n0.75 0.694460\nName: 12650, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11815729323013467, std values: 0.9017505970269449, min values: -2.321103531050575, max values: 4.0, median values: -0.1013288117858183, and quantile values: 0.25 -0.821811\n0.50 -0.101329\n0.75 0.547354\nName: 12651, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5508593996927351, std values: 1.1485556533688113, min values: -2.510124273981921, max values: 3.5581019918925243, median values: 0.4951283366964578, and quantile values: 0.25 -0.219010\n0.50 0.495128\n0.75 1.457816\nName: 12652, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2365977813865177, std values: 0.9492989113908461, min values: -2.6404955031131814, max values: 5.0, median values: 0.2593520064524747, and quantile values: 0.25 -0.330966\n0.50 0.259352\n0.75 0.885729\nName: 12653, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12449020912930067, std values: 0.8465700968406682, min values: -2.2915911556076085, max values: 3.258347009006034, median values: -0.1918246177118314, and quantile values: 0.25 -0.726048\n0.50 -0.191825\n0.75 0.439604\nName: 12654, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16073036682174618, std values: 0.9986572967954785, min values: -2.1062910125783354, max values: 6.0, median values: -0.1702126652018723, and quantile values: 0.25 -0.961676\n0.50 -0.170213\n0.75 0.561386\nName: 12655, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1478422227135105, std values: 1.179466407559947, min values: -2.9090251609554527, max values: 6.0, median values: 0.2271832434333939, and quantile values: 0.25 -0.627983\n0.50 0.227183\n0.75 1.033047\nName: 12656, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09314350806888452, std values: 0.8855281175502914, min values: -2.538263448402477, max values: 4.0, median values: -0.0745412963458957, and quantile values: 0.25 -0.668937\n0.50 -0.074541\n0.75 0.408323\nName: 12657, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4106346386420445, std values: 0.9078025464098174, min values: -2.093964118245613, max values: 5.0, median values: -0.5528289446837539, and quantile values: 0.25 -1.116044\n0.50 -0.552829\n0.75 0.215894\nName: 12658, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4794887688590976, std values: 0.8852372936265652, min values: -2.6635706018350787, max values: 3.5581019918925243, median values: 0.6031853239082743, and quantile values: 0.25 -0.044160\n0.50 0.603185\n0.75 1.068664\nName: 12659, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.046674276289639424, std values: 0.7436057376856956, min values: -2.0681185926384043, max values: 3.0418703198091483, median values: 0.0568006076703479, and quantile values: 0.25 -0.443852\n0.50 0.056801\n0.75 0.473218\nName: 12660, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2886176075126015, std values: 0.9154195695608751, min values: -2.841647375415054, max values: 5.0, median values: -0.230094912582841, and quantile values: 0.25 -0.949202\n0.50 -0.230095\n0.75 0.325603\nName: 12661, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0031575596660179165, std values: 0.7765044788447177, min values: -2.191559373369988, max values: 5.0, median values: 0.0126408813377172, and quantile values: 0.25 -0.535945\n0.50 0.012641\n0.75 0.523548\nName: 12662, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08754906617737014, std values: 0.8178817420496769, min values: -2.3051489257282016, max values: 5.0, median values: 0.0463165488063771, and quantile values: 0.25 -0.460258\n0.50 0.046317\n0.75 0.595613\nName: 12663, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36261406500193555, std values: 0.7564339799037436, min values: -2.5039074859839925, max values: 4.0, median values: -0.442754511161428, and quantile values: 0.25 -0.940809\n0.50 -0.442755\n0.75 0.133882\nName: 12664, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15847089402739936, std values: 0.8800454228846428, min values: -2.1002547423964093, max values: 5.0, median values: 0.1900296822414912, and quantile values: 0.25 -0.503095\n0.50 0.190030\n0.75 0.800003\nName: 12665, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3261771854638582, std values: 0.9183955768767996, min values: -2.869671295224012, max values: 6.0, median values: 0.4464612455411973, and quantile values: 0.25 -0.146178\n0.50 0.446461\n0.75 0.889351\nName: 12666, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4821364838693718, std values: 0.8176738380653534, min values: -2.58513369695146, max values: 3.0, median values: -0.4641809229131427, and quantile values: 0.25 -1.030608\n0.50 -0.464181\n0.75 0.035203\nName: 12667, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4925066147519191, std values: 1.141407414788451, min values: -2.6635706018350787, max values: 3.5908526919299577, median values: 0.5431684267674644, and quantile values: 0.25 -0.277596\n0.50 0.543168\n0.75 1.461825\nName: 12668, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40664442012433005, std values: 0.8105115406525816, min values: -2.572123985342288, max values: 4.278004674434932, median values: 0.4257709520883562, and quantile values: 0.25 -0.098383\n0.50 0.425771\n0.75 0.901783\nName: 12669, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3551703977764444, std values: 1.1934986827429783, min values: -2.8327898928872086, max values: 4.0, median values: 0.3828893586525861, and quantile values: 0.25 -0.497240\n0.50 0.382889\n0.75 1.329928\nName: 12670, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07684911387685767, std values: 0.7599632238608683, min values: -2.2477784840641744, max values: 4.0, median values: -0.1045126548422415, and quantile values: 0.25 -0.574884\n0.50 -0.104513\n0.75 0.365193\nName: 12671, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03071391562362061, std values: 0.8045643253352076, min values: -2.196708653609315, max values: 6.0, median values: 0.0134671311493939, and quantile values: 0.25 -0.523390\n0.50 0.013467\n0.75 0.544313\nName: 12672, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3686940785157052, std values: 1.2129080642591796, min values: -3.21990804472754, max values: 5.0, median values: -0.2199303012566111, and quantile values: 0.25 -1.229863\n0.50 -0.219930\n0.75 0.555585\nName: 12673, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02778268977679191, std values: 0.7974718986299598, min values: -2.030572340113053, max values: 3.5908526919299577, median values: -0.0124084332566337, and quantile values: 0.25 -0.596939\n0.50 -0.012408\n0.75 0.499675\nName: 12674, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5353152351879323, std values: 1.0889892379258552, min values: -2.9472833478224456, max values: 6.0, median values: -0.4085733674010973, and quantile values: 0.25 -1.315333\n0.50 -0.408573\n0.75 0.175509\nName: 12675, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.048442900944515845, std values: 0.8521169122498595, min values: -2.8121055320525654, max values: 5.0, median values: 0.0108011785579241, and quantile values: 0.25 -0.564044\n0.50 0.010801\n0.75 0.518028\nName: 12676, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.016627075382604724, std values: 0.9719733730070232, min values: -2.0477799217050063, max values: 5.0, median values: -0.0065819433445954, and quantile values: 0.25 -0.756826\n0.50 -0.006582\n0.75 0.715585\nName: 12677, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9428432704826865, std values: 1.1186265505004276, min values: -2.727901130262228, max values: 4.0, median values: -1.0930785502764797, and quantile values: 0.25 -1.891960\n0.50 -1.093079\n0.75 -0.135294\nName: 12678, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24430885788954437, std values: 0.9061893909398987, min values: -2.7428415536925543, max values: 5.0, median values: 0.30912403381426, and quantile values: 0.25 -0.292852\n0.50 0.309124\n0.75 0.884099\nName: 12679, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18361697048159506, std values: 1.0049754710130725, min values: -2.6117120822772133, max values: 5.0, median values: 0.2197850251865044, and quantile values: 0.25 -0.432057\n0.50 0.219785\n0.75 0.786836\nName: 12680, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9216513095108437, std values: 1.914524543371763, min values: -3.3690402064071137, max values: 4.026668017837955, median values: -1.8687013771227707, and quantile values: 0.25 -2.184321\n0.50 -1.868701\n0.75 0.633958\nName: 12681, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20910210438101548, std values: 0.8718439865324067, min values: -2.374446373878101, max values: 4.0, median values: 0.2131314631192323, and quantile values: 0.25 -0.454020\n0.50 0.213131\n0.75 0.892163\nName: 12682, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26297868358130033, std values: 0.7336362004630482, min values: -2.044138536277291, max values: 2.917687790776004, median values: 0.2679494392848372, and quantile values: 0.25 -0.199418\n0.50 0.267949\n0.75 0.725293\nName: 12683, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1995890560325816, std values: 0.8304427618306246, min values: -2.3926608023245497, max values: 3.5908526919299577, median values: 0.2689623049355422, and quantile values: 0.25 -0.357907\n0.50 0.268962\n0.75 0.794024\nName: 12684, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09457665261759206, std values: 1.1259169184204443, min values: -2.891990595045606, max values: 6.0, median values: 0.131159279529924, and quantile values: 0.25 -0.568177\n0.50 0.131159\n0.75 0.802661\nName: 12685, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4416973272538984, std values: 0.7874259430527245, min values: -2.153087536306035, max values: 4.243835016543704, median values: 0.4096269601573007, and quantile values: 0.25 -0.051546\n0.50 0.409627\n0.75 0.911829\nName: 12686, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.318742629208018, std values: 1.0656935480784477, min values: -2.45229857681487, max values: 3.1485882570365185, median values: 0.2565618492467351, and quantile values: 0.25 -0.516171\n0.50 0.256562\n0.75 1.188908\nName: 12687, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1815249763650755, std values: 0.7768409679515753, min values: -2.3808324358856225, max values: 3.667275230673496, median values: 0.1943338279697635, and quantile values: 0.25 -0.310841\n0.50 0.194334\n0.75 0.683612\nName: 12688, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15985175247115005, std values: 0.798042814480916, min values: -2.7314147016889114, max values: 3.598076523509904, median values: 0.1827376587948019, and quantile values: 0.25 -0.384107\n0.50 0.182738\n0.75 0.744770\nName: 12689, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10624356173784356, std values: 0.7580835244897447, min values: -2.579723791499676, max values: 4.0, median values: 0.0858351661159952, and quantile values: 0.25 -0.383649\n0.50 0.085835\n0.75 0.588288\nName: 12690, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1776469951941442, std values: 0.9067145853742454, min values: -2.080193602983667, max values: 4.243835016543704, median values: 0.2126250587344648, and quantile values: 0.25 -0.494269\n0.50 0.212625\n0.75 0.877029\nName: 12691, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03005433723134193, std values: 0.7819337686834372, min values: -1.979997573305296, max values: 3.867701659180865, median values: -0.1000460626805081, and quantile values: 0.25 -0.544062\n0.50 -0.100046\n0.75 0.429941\nName: 12692, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23345334142516266, std values: 0.925628005010854, min values: -2.3344113078233786, max values: 4.026668017837955, median values: 0.3462744695229175, and quantile values: 0.25 -0.436415\n0.50 0.346274\n0.75 0.907147\nName: 12693, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43922925219513936, std values: 0.8213156638957358, min values: -1.9290516043886656, max values: 3.124705982383484, median values: 0.5018134863745104, and quantile values: 0.25 -0.149293\n0.50 0.501813\n0.75 1.004987\nName: 12694, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07324251505736216, std values: 0.869283310472816, min values: -2.304812231423376, max values: 5.0, median values: 0.0845361135040575, and quantile values: 0.25 -0.516698\n0.50 0.084536\n0.75 0.648356\nName: 12695, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03901175388779588, std values: 1.2501092778311003, min values: -2.92272757463548, max values: 6.0, median values: 0.2418464527032668, and quantile values: 0.25 -0.800064\n0.50 0.241846\n0.75 1.005770\nName: 12696, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04641207038296868, std values: 0.8591716166224143, min values: -2.142854198138545, max values: 5.0, median values: 0.0262845952356074, and quantile values: 0.25 -0.562646\n0.50 0.026285\n0.75 0.623705\nName: 12697, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4437233054302059, std values: 0.8588203598072903, min values: -2.6117120822772133, max values: 5.0, median values: 0.515667618757217, and quantile values: 0.25 -0.153220\n0.50 0.515668\n0.75 1.057201\nName: 12698, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7855458345677233, std values: 0.9993861316007595, min values: -2.041514276272496, max values: 5.0, median values: 0.8343832718742554, and quantile values: 0.25 0.052018\n0.50 0.834383\n0.75 1.591129\nName: 12699, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36256512186938067, std values: 0.8908991763023834, min values: -2.589966702820638, max values: 6.0, median values: 0.3355627535442956, and quantile values: 0.25 -0.248885\n0.50 0.335563\n0.75 0.941581\nName: 12700, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6127606328104965, std values: 0.9042173853181188, min values: -3.0484008792629496, max values: 5.0, median values: -0.7569728317341118, and quantile values: 0.25 -1.317101\n0.50 -0.756973\n0.75 -0.046476\nName: 12701, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15432281307630663, std values: 0.8717521973996367, min values: -2.0933077918561027, max values: 6.0, median values: 0.0956764368786053, and quantile values: 0.25 -0.486730\n0.50 0.095676\n0.75 0.719147\nName: 12702, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.725321141447822, std values: 0.8727084188958016, min values: -2.1323052317104474, max values: 3.670892362631932, median values: 0.8063907503842768, and quantile values: 0.25 0.136050\n0.50 0.806391\n0.75 1.385469\nName: 12703, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18937410891031528, std values: 0.9226192110449831, min values: -2.739804196611005, max values: 6.0, median values: 0.2345651598055438, and quantile values: 0.25 -0.418912\n0.50 0.234565\n0.75 0.866247\nName: 12704, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05569798767911422, std values: 0.8101892916040939, min values: -2.4125199145038643, max values: 4.0, median values: -0.0518797896150332, and quantile values: 0.25 -0.650584\n0.50 -0.051880\n0.75 0.483646\nName: 12705, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02760129178814016, std values: 0.8263947878711119, min values: -2.0513495754327686, max values: 3.477886732511886, median values: -0.02476037220586, and quantile values: 0.25 -0.618488\n0.50 -0.024760\n0.75 0.512543\nName: 12706, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3169403911599465, std values: 0.8733662082989775, min values: -2.076097537486946, max values: 6.0, median values: -0.4228541593959238, and quantile values: 0.25 -1.007831\n0.50 -0.422854\n0.75 0.238808\nName: 12707, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.027820474194379, std values: 1.037924926533176, min values: -2.147228856409125, max values: 3.041094191308108, median values: -0.0504182953446309, and quantile values: 0.25 -0.860889\n0.50 -0.050418\n0.75 0.746174\nName: 12708, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20404072384382516, std values: 0.8321905386803106, min values: -2.605098146828148, max values: 6.0, median values: 0.158157220910003, and quantile values: 0.25 -0.370001\n0.50 0.158157\n0.75 0.754408\nName: 12709, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.80942214896082, std values: 1.0514809560702154, min values: -2.048935494746508, max values: 3.867701659180865, median values: 0.8234335671647092, and quantile values: 0.25 0.055333\n0.50 0.823434\n0.75 1.667667\nName: 12710, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30698304388900377, std values: 1.0368074897829231, min values: -3.124705982383478, max values: 3.9905524164385566, median values: -0.3119514633706252, and quantile values: 0.25 -0.905802\n0.50 -0.311951\n0.75 0.367544\nName: 12711, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24466425255870303, std values: 0.811454656292454, min values: -2.0644119749172245, max values: 4.0, median values: -0.2923087904889079, and quantile values: 0.25 -0.787047\n0.50 -0.292309\n0.75 0.203687\nName: 12712, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3700395778254269, std values: 0.7344362627459481, min values: -2.5501488616953263, max values: 3.026950214607353, median values: 0.4243603804685558, and quantile values: 0.25 -0.067578\n0.50 0.424360\n0.75 0.839152\nName: 12713, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2229256213575488, std values: 0.8043376243607325, min values: -2.218487020680161, max values: 3.090297571450676, median values: -0.2324143347308712, and quantile values: 0.25 -0.794554\n0.50 -0.232414\n0.75 0.270768\nName: 12714, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08129615751594356, std values: 0.933545896535545, min values: -2.642042398333877, max values: 3.379902545505621, median values: -0.093134728171919, and quantile values: 0.25 -0.644744\n0.50 -0.093135\n0.75 0.505924\nName: 12715, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10413131995981392, std values: 0.9377993809120391, min values: -2.841647375415054, max values: 5.0, median values: -0.1506572474877887, and quantile values: 0.25 -0.862486\n0.50 -0.150657\n0.75 0.544861\nName: 12716, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3328563145106854, std values: 1.2305195478284348, min values: -2.879968592907284, max values: 4.0, median values: 0.5967232673363908, and quantile values: 0.25 -0.207912\n0.50 0.596723\n0.75 1.248512\nName: 12717, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32964069276110397, std values: 0.7674620120430825, min values: -2.8531572940820533, max values: 3.1175233493066874, median values: 0.3418916517414691, and quantile values: 0.25 -0.121388\n0.50 0.341892\n0.75 0.820461\nName: 12718, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.178902696398112, std values: 0.9636932269104568, min values: -3.2119459948042475, max values: 3.280245386470253, median values: 0.3276777206827593, and quantile values: 0.25 -0.296283\n0.50 0.327678\n0.75 0.797805\nName: 12719, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12995970721614195, std values: 0.8244161621989575, min values: -2.8164291268114208, max values: 3.045947208515846, median values: -0.1761086758319945, and quantile values: 0.25 -0.707781\n0.50 -0.176109\n0.75 0.414490\nName: 12720, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28647572408784616, std values: 0.7546049101696753, min values: -2.007714215753013, max values: 3.047545592545638, median values: 0.2650239771053295, and quantile values: 0.25 -0.189928\n0.50 0.265024\n0.75 0.751837\nName: 12721, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1569164464098452, std values: 0.8031012290943315, min values: -2.0700179978453, max values: 5.0, median values: -0.2516927701798188, and quantile values: 0.25 -0.703846\n0.50 -0.251693\n0.75 0.346801\nName: 12722, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.309500548479515, std values: 0.8697950976092441, min values: -1.9559382933369944, max values: 3.0, median values: 0.3870596810897575, and quantile values: 0.25 -0.333320\n0.50 0.387060\n0.75 0.953054\nName: 12723, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13828716665509377, std values: 1.0022703211644188, min values: -2.072580019544124, max values: 3.9905524164385566, median values: 0.0639749471804928, and quantile values: 0.25 -0.673418\n0.50 0.063975\n0.75 0.867520\nName: 12724, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11637507527172261, std values: 0.7593807625856106, min values: -2.099755160224712, max values: 4.0, median values: 0.1757966341647666, and quantile values: 0.25 -0.400075\n0.50 0.175797\n0.75 0.596714\nName: 12725, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31931421315854813, std values: 0.805093391557062, min values: -2.730840794324401, max values: 3.784832159836258, median values: 0.2645105863946987, and quantile values: 0.25 -0.189399\n0.50 0.264511\n0.75 0.811050\nName: 12726, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.039204334270784104, std values: 0.9528434670064315, min values: -2.641174291463747, max values: 6.0, median values: -0.1028199003360392, and quantile values: 0.25 -0.703859\n0.50 -0.102820\n0.75 0.656836\nName: 12727, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36926085875431, std values: 0.8199583131097634, min values: -2.4536054974529624, max values: 6.0, median values: 0.3126463005348754, and quantile values: 0.25 -0.137846\n0.50 0.312646\n0.75 0.887948\nName: 12728, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07874915820980638, std values: 0.8065678390657115, min values: -1.990286087074009, max values: 5.0, median values: 0.0787369101898244, and quantile values: 0.25 -0.469929\n0.50 0.078737\n0.75 0.549033\nName: 12729, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20052025794745204, std values: 0.9157021187545938, min values: -1.9843180868772257, max values: 6.0, median values: 0.1112164829542927, and quantile values: 0.25 -0.434664\n0.50 0.111216\n0.75 0.763739\nName: 12730, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40890306181531855, std values: 0.8245280657184385, min values: -2.7428415536925543, max values: 3.721862465295849, median values: -0.5334910661436311, and quantile values: 0.25 -1.024924\n0.50 -0.533491\n0.75 0.118925\nName: 12731, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4710681616118482, std values: 0.8833091301426867, min values: -2.104270394087118, max values: 6.0, median values: 0.56315726253784, and quantile values: 0.25 -0.110242\n0.50 0.563157\n0.75 1.055701\nName: 12732, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16105126626384994, std values: 0.7602848619233584, min values: -2.6652153608723106, max values: 3.163266084685921, median values: -0.2002186239234383, and quantile values: 0.25 -0.703259\n0.50 -0.200219\n0.75 0.317763\nName: 12733, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2984054286068019, std values: 0.7527165946411845, min values: -2.5879430435308, max values: 3.569037956734876, median values: 0.3469113704143818, and quantile values: 0.25 -0.130501\n0.50 0.346911\n0.75 0.762191\nName: 12734, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3067826589625675, std values: 1.0601374405506654, min values: -2.446475285346346, max values: 4.243835016543704, median values: 0.1959777842890303, and quantile values: 0.25 -0.395068\n0.50 0.195978\n0.75 0.918367\nName: 12735, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10405606723457077, std values: 0.8610873105386243, min values: -2.1548749249906303, max values: 5.0, median values: 0.0337696151170531, and quantile values: 0.25 -0.550132\n0.50 0.033770\n0.75 0.699667\nName: 12736, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04713449239870237, std values: 0.8012042077392595, min values: -2.5825978442440407, max values: 6.0, median values: -0.0147340655788616, and quantile values: 0.25 -0.581980\n0.50 -0.014734\n0.75 0.443089\nName: 12737, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.057202916253721744, std values: 0.8941690266757957, min values: -2.5122218748354936, max values: 3.1841025362512254, median values: -0.0826018921488337, and quantile values: 0.25 -0.624364\n0.50 -0.082602\n0.75 0.518076\nName: 12738, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49549876881110555, std values: 1.096416691449481, min values: -2.684072796644972, max values: 6.0, median values: -0.3747598093870372, and quantile values: 0.25 -1.313346\n0.50 -0.374760\n0.75 0.268292\nName: 12739, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3670064265665021, std values: 0.8339938367272809, min values: -2.1301704007793827, max values: 3.025409039429847, median values: -0.4671581566658545, and quantile values: 0.25 -0.981531\n0.50 -0.467158\n0.75 0.158433\nName: 12740, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2710463120493207, std values: 0.9095403706606557, min values: -2.6635706018350787, max values: 4.026668017837955, median values: 0.2916190676280249, and quantile values: 0.25 -0.306450\n0.50 0.291619\n0.75 0.853889\nName: 12741, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.027321006050655582, std values: 1.2152859435344971, min values: -2.2262971094910258, max values: 4.0, median values: 0.0718015578924018, and quantile values: 0.25 -1.018829\n0.50 0.071802\n0.75 0.957313\nName: 12742, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3177631086342476, std values: 1.095754426294232, min values: -2.7542003929097176, max values: 5.0, median values: 0.1730354037053856, and quantile values: 0.25 -0.441714\n0.50 0.173035\n0.75 1.020936\nName: 12743, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.024553971753408434, std values: 0.9436462669158243, min values: -2.5825978442440407, max values: 6.0, median values: 0.0146789809961617, and quantile values: 0.25 -0.658450\n0.50 0.014679\n0.75 0.597612\nName: 12744, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.005676557905757364, std values: 0.792572277406297, min values: -2.196708653609315, max values: 6.0, median values: -0.0513330447462945, and quantile values: 0.25 -0.534857\n0.50 -0.051333\n0.75 0.469745\nName: 12745, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4146890881501421, std values: 1.146079917039588, min values: -2.727901130262228, max values: 4.0, median values: -0.265109549011727, and quantile values: 0.25 -1.167850\n0.50 -0.265110\n0.75 0.371298\nName: 12746, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13859866096322312, std values: 0.7988108844352272, min values: -2.0346833617013265, max values: 3.197902420311553, median values: -0.250134973140163, and quantile values: 0.25 -0.708665\n0.50 -0.250135\n0.75 0.344111\nName: 12747, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01400148888239095, std values: 0.8252606477855232, min values: -2.4737574649270093, max values: 3.0, median values: 0.0318647035527068, and quantile values: 0.25 -0.531365\n0.50 0.031865\n0.75 0.529408\nName: 12748, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17007481021468546, std values: 0.8379833168623192, min values: -2.5832619696830608, max values: 6.0, median values: -0.2631508287371475, and quantile values: 0.25 -0.797625\n0.50 -0.263151\n0.75 0.374937\nName: 12749, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27234977873433674, std values: 1.1260226881334012, min values: -2.8121055320525654, max values: 5.0, median values: 0.2757357388022268, and quantile values: 0.25 -0.415237\n0.50 0.275736\n0.75 1.023143\nName: 12750, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3653957409654883, std values: 1.0182567972361325, min values: -2.684072796644972, max values: 6.0, median values: -0.3539732681790428, and quantile values: 0.25 -1.027615\n0.50 -0.353973\n0.75 0.283840\nName: 12751, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7600660750214749, std values: 0.9020609351438467, min values: -2.73836943861057, max values: 3.721862465295849, median values: 0.8607296701027009, and quantile values: 0.25 0.211391\n0.50 0.860730\n0.75 1.336155\nName: 12752, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42510757907684277, std values: 1.0002763101126242, min values: -2.5293911731823453, max values: 3.4566816047670264, median values: 0.6262904043822639, and quantile values: 0.25 -0.097505\n0.50 0.626290\n0.75 1.103533\nName: 12753, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17195370470340296, std values: 0.775815546658481, min values: -2.730840794324401, max values: 3.216771431244405, median values: 0.1674258097126582, and quantile values: 0.25 -0.264881\n0.50 0.167426\n0.75 0.648181\nName: 12754, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2208226037514814, std values: 0.8336057960958149, min values: -2.536941606705235, max values: 4.0, median values: -0.2708758932754841, and quantile values: 0.25 -0.891615\n0.50 -0.270876\n0.75 0.353565\nName: 12755, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04503459325139379, std values: 0.8325918241161989, min values: -2.584593648802428, max values: 3.397048482165858, median values: -0.0578895839856385, and quantile values: 0.25 -0.646869\n0.50 -0.057890\n0.75 0.527179\nName: 12756, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.004601611953200844, std values: 0.833435818247767, min values: -2.0704209263614266, max values: 5.0, median values: 0.002616237725163, and quantile values: 0.25 -0.561137\n0.50 0.002616\n0.75 0.534363\nName: 12757, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4902607076410432, std values: 0.9724334415316822, min values: -2.92272757463548, max values: 6.0, median values: -0.4406719733017356, and quantile values: 0.25 -1.097398\n0.50 -0.440672\n0.75 0.154234\nName: 12758, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1138725937200123, std values: 0.9933137891001751, min values: -2.5695487141177, max values: 4.0, median values: -0.1601901760316563, and quantile values: 0.25 -0.822429\n0.50 -0.160190\n0.75 0.591159\nName: 12759, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38250147860873673, std values: 0.9673219227401553, min values: -2.580492024304656, max values: 3.0, median values: -0.5411085805038893, and quantile values: 0.25 -1.199923\n0.50 -0.541109\n0.75 0.309367\nName: 12760, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1032575116342591, std values: 0.8443923604505823, min values: -2.068409635448683, max values: 3.4758930087721422, median values: -0.0812501966888545, and quantile values: 0.25 -0.710543\n0.50 -0.081250\n0.75 0.449492\nName: 12761, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2158585714530172, std values: 0.9477716562465558, min values: -2.001164707410773, max values: 3.047545592545638, median values: -0.3907048847365798, and quantile values: 0.25 -0.951964\n0.50 -0.390705\n0.75 0.423667\nName: 12762, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06688212269185358, std values: 0.7288123250106752, min values: -2.0305800740212328, max values: 3.1888787873512885, median values: -0.0760542205263027, and quantile values: 0.25 -0.533872\n0.50 -0.076054\n0.75 0.372479\nName: 12763, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.447157987234537, std values: 0.9408614358576141, min values: -2.58513369695146, max values: 4.0, median values: 0.59405999860606, and quantile values: 0.25 -0.052351\n0.50 0.594060\n0.75 1.042010\nName: 12764, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35833800251073183, std values: 0.8208542218840484, min values: -2.4165845690278203, max values: 5.0, median values: 0.3711508759898859, and quantile values: 0.25 -0.112958\n0.50 0.371151\n0.75 0.884547\nName: 12765, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.014729182455805763, std values: 0.9730237115503071, min values: -2.6820581866633817, max values: 3.258347009006034, median values: 0.0739014046190032, and quantile values: 0.25 -0.693489\n0.50 0.073901\n0.75 0.694786\nName: 12766, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02028983661943626, std values: 0.7367330179057253, min values: -2.4536054974529624, max values: 6.0, median values: -0.0396670108370481, and quantile values: 0.25 -0.500315\n0.50 -0.039667\n0.75 0.394889\nName: 12767, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20961840276442084, std values: 1.2881468192565848, min values: -2.873069976951463, max values: 3.670892362631932, median values: -0.1615850788789806, and quantile values: 0.25 -0.969578\n0.50 -0.161585\n0.75 0.601295\nName: 12768, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0734838607074171, std values: 0.88524749955004, min values: -2.222049826555007, max values: 3.258347009006034, median values: -0.2098927977332976, and quantile values: 0.25 -0.705730\n0.50 -0.209893\n0.75 0.467373\nName: 12769, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3155656880182814, std values: 0.8064786895682653, min values: -2.6117120822772133, max values: 5.0, median values: -0.3646679820581108, and quantile values: 0.25 -0.907968\n0.50 -0.364668\n0.75 0.234282\nName: 12770, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6447424772325084, std values: 0.8531779680050142, min values: -2.0418526042564986, max values: 3.336438412828754, median values: 0.7030585334508174, and quantile values: 0.25 0.054220\n0.50 0.703059\n0.75 1.299217\nName: 12771, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.013987479725693776, std values: 0.8547540393508892, min values: -2.035794058295153, max values: 3.670892362631932, median values: 0.039267000531415, and quantile values: 0.25 -0.610635\n0.50 0.039267\n0.75 0.595769\nName: 12772, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2477379719870092, std values: 0.874663335482402, min values: -2.3968183396433, max values: 3.2266531185902125, median values: -0.3610780896203366, and quantile values: 0.25 -0.931928\n0.50 -0.361078\n0.75 0.311563\nName: 12773, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2833005817874994, std values: 0.9008278384751905, min values: -2.783691185534105, max values: 3.760287110694155, median values: 0.3636018953450964, and quantile values: 0.25 -0.336320\n0.50 0.363602\n0.75 0.974819\nName: 12774, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.019677288129767143, std values: 0.8045035789509903, min values: -2.542889966859849, max values: 6.0, median values: 0.0580027608936712, and quantile values: 0.25 -0.545756\n0.50 0.058003\n0.75 0.565901\nName: 12775, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29132470085105233, std values: 0.7880193708332339, min values: -2.7510671817729784, max values: 6.0, median values: -0.290410272992506, and quantile values: 0.25 -0.775440\n0.50 -0.290410\n0.75 0.190983\nName: 12776, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4391905737314653, std values: 0.7809853782355219, min values: -2.226424194672579, max values: 4.0, median values: 0.5043450901617076, and quantile values: 0.25 -0.054417\n0.50 0.504345\n0.75 0.966542\nName: 12777, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31845785918891056, std values: 0.9908328302390716, min values: -2.919359491767569, max values: 6.0, median values: 0.4045174066075449, and quantile values: 0.25 -0.415572\n0.50 0.404517\n0.75 1.103705\nName: 12778, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3705768402402282, std values: 0.8598429367958699, min values: -2.062310304625852, max values: 6.0, median values: -0.4856366792630889, and quantile values: 0.25 -1.043860\n0.50 -0.485637\n0.75 0.199179\nName: 12779, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.045293708882326714, std values: 0.8141572076369026, min values: -2.2837882496430213, max values: 4.0, median values: 0.0589406995817639, and quantile values: 0.25 -0.486040\n0.50 0.058941\n0.75 0.571443\nName: 12780, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1276504539050427, std values: 0.9338225190549372, min values: -2.5624611946462936, max values: 5.0, median values: 0.1705200259619905, and quantile values: 0.25 -0.420958\n0.50 0.170520\n0.75 0.744708\nName: 12781, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04608459642484853, std values: 0.8531003755757929, min values: -2.2012167772695554, max values: 3.076680642207697, median values: -0.0292636927195812, and quantile values: 0.25 -0.528671\n0.50 -0.029264\n0.75 0.583285\nName: 12782, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.539491808920042, std values: 1.2690783667913217, min values: -3.1175233493066874, max values: 3.090297571450676, median values: 0.6321673535200617, and quantile values: 0.25 -0.408203\n0.50 0.632167\n0.75 1.586287\nName: 12783, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08706313795326814, std values: 0.7785541816173084, min values: -2.56026492390943, max values: 4.0, median values: -0.076413748426292, and quantile values: 0.25 -0.524981\n0.50 -0.076414\n0.75 0.386982\nName: 12784, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5160842575924939, std values: 0.8620795445335663, min values: -2.789830374413015, max values: 3.569037956734876, median values: 0.4572295753314593, and quantile values: 0.25 -0.018342\n0.50 0.457230\n0.75 1.099361\nName: 12785, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1729349243135726, std values: 0.7873301101112395, min values: -2.1002547423964093, max values: 5.0, median values: 0.1336481390608301, and quantile values: 0.25 -0.338040\n0.50 0.133648\n0.75 0.628821\nName: 12786, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32829690890158086, std values: 0.9445763622753055, min values: -2.7314147016889114, max values: 3.397048482165858, median values: 0.3399668916888109, and quantile values: 0.25 -0.393847\n0.50 0.339967\n0.75 1.097039\nName: 12787, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09180575691178502, std values: 0.8302019537561166, min values: -2.5832619696830608, max values: 6.0, median values: -0.187113324175176, and quantile values: 0.25 -0.642878\n0.50 -0.187113\n0.75 0.379658\nName: 12788, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16069445090833595, std values: 1.2338230197297573, min values: -2.558791007225312, max values: 3.17157439250477, median values: 0.4466154841795948, and quantile values: 0.25 -0.598699\n0.50 0.446615\n0.75 1.055783\nName: 12789, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3135379028773452, std values: 0.8747907503329262, min values: -2.4677550036965314, max values: 5.0, median values: -0.436081758533807, and quantile values: 0.25 -0.919088\n0.50 -0.436082\n0.75 0.162785\nName: 12790, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18936302533363258, std values: 0.778766359058429, min values: -2.080193602983667, max values: 6.0, median values: 0.1353652869087576, and quantile values: 0.25 -0.306883\n0.50 0.135365\n0.75 0.688978\nName: 12791, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4433717166406053, std values: 1.2384562329632716, min values: -2.6115251494731915, max values: 3.135426854633533, median values: 0.7282788774146539, and quantile values: 0.25 -0.120056\n0.50 0.728279\n0.75 1.360777\nName: 12792, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10792918404073264, std values: 0.7764102644961962, min values: -2.5825978442440407, max values: 6.0, median values: 0.10542266692751, and quantile values: 0.25 -0.394949\n0.50 0.105423\n0.75 0.603165\nName: 12793, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5136158841592128, std values: 0.8614881209639463, min values: -1.926922198373808, max values: 4.0, median values: 0.6293125902283245, and quantile values: 0.25 -0.016734\n0.50 0.629313\n0.75 1.112265\nName: 12794, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41302836602072796, std values: 0.9112472818099083, min values: -2.196708653609315, max values: 6.0, median values: 0.317862419470212, and quantile values: 0.25 -0.230451\n0.50 0.317862\n0.75 1.050866\nName: 12795, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04876563918665397, std values: 0.8518557097719878, min values: -2.119621483749997, max values: 3.0, median values: -0.0334665114406563, and quantile values: 0.25 -0.579490\n0.50 -0.033467\n0.75 0.623705\nName: 12796, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44830401882506193, std values: 0.8178323097726874, min values: -2.608390851963037, max values: 5.0, median values: -0.5701789064306978, and quantile values: 0.25 -1.016103\n0.50 -0.570179\n0.75 0.029997\nName: 12797, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20189018013259918, std values: 1.0033123003146562, min values: -3.236860296211546, max values: 3.082096909284949, median values: -0.2402433351467612, and quantile values: 0.25 -0.843259\n0.50 -0.240243\n0.75 0.494327\nName: 12798, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2999475791752965, std values: 0.8726683819648172, min values: -2.589966702820638, max values: 6.0, median values: -0.3686148115222533, and quantile values: 0.25 -0.916675\n0.50 -0.368615\n0.75 0.211294\nName: 12799, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2748797601800131, std values: 1.0343001036307817, min values: -3.1175233493066874, max values: 3.17157439250477, median values: 0.3627555231658561, and quantile values: 0.25 -0.433833\n0.50 0.362756\n0.75 1.103446\nName: 12800, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08059982589471296, std values: 1.0416808758495681, min values: -2.643887016977268, max values: 6.0, median values: 0.1427631884447281, and quantile values: 0.25 -0.503188\n0.50 0.142763\n0.75 0.740691\nName: 12801, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10048308612173984, std values: 0.8825571845972111, min values: -1.9630751518958829, max values: 3.02009942896863, median values: 0.0433592634482192, and quantile values: 0.25 -0.582861\n0.50 0.043359\n0.75 0.727554\nName: 12802, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2932485271198361, std values: 0.9036838388535248, min values: -2.4657737907743, max values: 3.630507857092792, median values: 0.363273669944212, and quantile values: 0.25 -0.287478\n0.50 0.363274\n0.75 0.886057\nName: 12803, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24679146189055776, std values: 0.8220392168405165, min values: -2.4284981379811645, max values: 4.0, median values: 0.3133561332987252, and quantile values: 0.25 -0.322655\n0.50 0.313356\n0.75 0.819650\nName: 12804, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21531750202780037, std values: 0.9240179937417913, min values: -2.240740315114864, max values: 4.0, median values: 0.2183186563414955, and quantile values: 0.25 -0.393252\n0.50 0.218319\n0.75 0.772728\nName: 12805, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10495129296824707, std values: 0.909709962726662, min values: -2.6122411453164007, max values: 4.0, median values: 0.2087674895161601, and quantile values: 0.25 -0.451886\n0.50 0.208767\n0.75 0.749548\nName: 12806, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.026903525725227955, std values: 1.0292444931577363, min values: -2.673549169958716, max values: 6.0, median values: 0.1474826874334263, and quantile values: 0.25 -0.593140\n0.50 0.147483\n0.75 0.794737\nName: 12807, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6888307590965036, std values: 0.8630758830904607, min values: -2.5046447434119337, max values: 4.0, median values: 0.704572379660405, and quantile values: 0.25 0.155032\n0.50 0.704572\n0.75 1.249587\nName: 12808, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2841987142966156, std values: 0.8417975860325503, min values: -2.579952672199424, max values: 6.0, median values: 0.3569967149677395, and quantile values: 0.25 -0.294465\n0.50 0.356997\n0.75 0.929559\nName: 12809, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20834067509044496, std values: 1.001273620355073, min values: -2.062772413318988, max values: 3.477886732511886, median values: 0.1703244308889808, and quantile values: 0.25 -0.568204\n0.50 0.170324\n0.75 1.036057\nName: 12810, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19490575570300178, std values: 0.7549272156254031, min values: -2.222049826555007, max values: 3.336438412828754, median values: -0.2632274142517048, and quantile values: 0.25 -0.693348\n0.50 -0.263227\n0.75 0.251742\nName: 12811, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08247415303719292, std values: 0.9337232648595026, min values: -2.7257183488872623, max values: 5.0, median values: -0.122830570677433, and quantile values: 0.25 -0.801407\n0.50 -0.122831\n0.75 0.581491\nName: 12812, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.032139173686666786, std values: 0.8051236495449215, min values: -2.0692886635397403, max values: 3.0774992973297404, median values: 0.0669119093267135, and quantile values: 0.25 -0.586999\n0.50 0.066912\n0.75 0.624020\nName: 12813, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4126699239814729, std values: 0.8083762555835771, min values: -2.502643588348163, max values: 4.0, median values: -0.5379733120852966, and quantile values: 0.25 -1.027325\n0.50 -0.537973\n0.75 0.110265\nName: 12814, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43828458055686653, std values: 0.8263644991908177, min values: -2.789830374413015, max values: 3.5581019918925243, median values: -0.552773872234523, and quantile values: 0.25 -1.041937\n0.50 -0.552774\n0.75 0.066557\nName: 12815, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46866393356217206, std values: 0.8146208559634575, min values: -2.876502173242568, max values: 3.397048482165858, median values: -0.5262341132117324, and quantile values: 0.25 -1.064695\n0.50 -0.526234\n0.75 0.009226\nName: 12816, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41095592784690277, std values: 1.5205025756173638, min values: -2.769191083399913, max values: 4.278004674434932, median values: 0.4345074065327857, and quantile values: 0.25 -0.504179\n0.50 0.434507\n0.75 1.600281\nName: 12817, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09732241043554962, std values: 0.8047626905256875, min values: -2.267175988438518, max values: 5.0, median values: 0.0431123765452177, and quantile values: 0.25 -0.436203\n0.50 0.043112\n0.75 0.586129\nName: 12818, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8338114988612457, std values: 0.8952601688779218, min values: -2.7428415536925543, max values: 5.0, median values: -0.9646829199801968, and quantile values: 0.25 -1.481741\n0.50 -0.964683\n0.75 -0.280416\nName: 12819, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.649266585365919, std values: 0.9101323526212802, min values: -2.267175988438518, max values: 5.0, median values: 0.6891458542200445, and quantile values: 0.25 0.107745\n0.50 0.689146\n0.75 1.250436\nName: 12820, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22932907882863368, std values: 0.7750456007956515, min values: -2.1052796288777285, max values: 3.050873041333768, median values: 0.2737052531907153, and quantile values: 0.25 -0.283152\n0.50 0.273705\n0.75 0.769613\nName: 12821, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36493848404959844, std values: 1.0935719840394915, min values: -2.6404955031131814, max values: 5.0, median values: 0.358581785497751, and quantile values: 0.25 -0.306479\n0.50 0.358582\n0.75 1.053969\nName: 12822, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08759009968016016, std values: 0.8353199439749557, min values: -2.5689076212724418, max values: 5.0, median values: -0.183304074615076, and quantile values: 0.25 -0.667144\n0.50 -0.183304\n0.75 0.407469\nName: 12823, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37507765099623264, std values: 0.7799813162408431, min values: -2.525362520654854, max values: 5.0, median values: -0.4870759209681226, and quantile values: 0.25 -0.922110\n0.50 -0.487076\n0.75 0.129132\nName: 12824, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15109174332465086, std values: 0.7893782915221659, min values: -2.6115251494731915, max values: 5.0, median values: -0.1300204986916895, and quantile values: 0.25 -0.715581\n0.50 -0.130020\n0.75 0.427617\nName: 12825, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3435664702021708, std values: 0.8412640843575422, min values: -2.215291168881953, max values: 3.379902545505621, median values: -0.3715924547859291, and quantile values: 0.25 -0.964006\n0.50 -0.371592\n0.75 0.171574\nName: 12826, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1201899895465481, std values: 0.9200484631785749, min values: -2.622408470084112, max values: 3.098911021393695, median values: -0.0566112273970608, and quantile values: 0.25 -0.608380\n0.50 -0.056611\n0.75 0.453392\nName: 12827, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03076719378867806, std values: 0.9603105953437084, min values: -2.87684958111886, max values: 2.934784296522457, median values: 0.0684990548889072, and quantile values: 0.25 -0.479585\n0.50 0.068499\n0.75 0.673822\nName: 12828, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1415251936977211, std values: 0.9058330278841862, min values: -2.419133598913117, max values: 3.155170554159904, median values: 0.0826256074441922, and quantile values: 0.25 -0.521674\n0.50 0.082626\n0.75 0.728864\nName: 12829, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3939270404641065, std values: 0.9365043353702488, min values: -2.4176069991382847, max values: 6.0, median values: 0.3981365224221102, and quantile values: 0.25 -0.282980\n0.50 0.398137\n0.75 1.143730\nName: 12830, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3752793145033616, std values: 0.8297763734825869, min values: -2.212004168819108, max values: 3.760287110694155, median values: -0.4554879612011701, and quantile values: 0.25 -1.011545\n0.50 -0.455488\n0.75 0.175341\nName: 12831, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7631862590300582, std values: 1.0118344509195443, min values: -2.735793305548302, max values: 3.867701659180865, median values: 0.7511176571331379, and quantile values: 0.25 0.087583\n0.50 0.751118\n0.75 1.481329\nName: 12832, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04202496999026771, std values: 0.788225831253218, min values: -1.9902700503252555, max values: 5.0, median values: 0.0783101755205172, and quantile values: 0.25 -0.491626\n0.50 0.078310\n0.75 0.581817\nName: 12833, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03813379532863849, std values: 0.8339575312945914, min values: -2.000669917329396, max values: 3.2906806286429298, median values: -0.0634656176099763, and quantile values: 0.25 -0.507068\n0.50 -0.063466\n0.75 0.563434\nName: 12834, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49550012055639564, std values: 0.8810933258158868, min values: -2.1047747435038886, max values: 4.0, median values: 0.5929761711442003, and quantile values: 0.25 -0.105810\n0.50 0.592976\n0.75 1.127150\nName: 12835, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14388005595941683, std values: 0.8809287251213215, min values: -2.56026492390943, max values: 4.0, median values: -0.0832422214740321, and quantile values: 0.25 -0.747768\n0.50 -0.083242\n0.75 0.483566\nName: 12836, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3903319038931638, std values: 0.9619337552436241, min values: -2.589966702820638, max values: 6.0, median values: -0.529380510914771, and quantile values: 0.25 -1.134614\n0.50 -0.529381\n0.75 0.207815\nName: 12837, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11794291564411291, std values: 1.0279203108366748, min values: -2.9622221028070275, max values: 6.0, median values: -0.0118697226440376, and quantile values: 0.25 -0.832123\n0.50 -0.011870\n0.75 0.644831\nName: 12838, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05732204778557167, std values: 0.7796769425838994, min values: -2.5832619696830608, max values: 6.0, median values: 0.0707734756957943, and quantile values: 0.25 -0.463261\n0.50 0.070773\n0.75 0.523110\nName: 12839, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27118192212102277, std values: 0.9489463897733028, min values: -2.688157591415518, max values: 4.0, median values: 0.3957862459975956, and quantile values: 0.25 -0.236406\n0.50 0.395786\n0.75 0.916354\nName: 12840, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08733319186357774, std values: 0.7745317029848577, min values: -2.928515832252388, max values: 5.0, median values: -0.0706550073426423, and quantile values: 0.25 -0.583514\n0.50 -0.070655\n0.75 0.366482\nName: 12841, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.035917986826142244, std values: 0.9192871711930427, min values: -2.608390851963037, max values: 5.0, median values: 0.0583337922086653, and quantile values: 0.25 -0.568948\n0.50 0.058334\n0.75 0.551948\nName: 12842, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2719417436288507, std values: 0.8506375887253113, min values: -2.62876542141649, max values: 3.147276669305989, median values: -0.3630969494010514, and quantile values: 0.25 -0.955465\n0.50 -0.363097\n0.75 0.302635\nName: 12843, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18902774278544845, std values: 0.8991208249827685, min values: -2.5820330744015787, max values: 4.0, median values: -0.1569128814354588, and quantile values: 0.25 -0.814897\n0.50 -0.156913\n0.75 0.431785\nName: 12844, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45948732544603854, std values: 1.1245136983159008, min values: -2.497627580948261, max values: 4.278004674434932, median values: 0.5880256866667397, and quantile values: 0.25 -0.179609\n0.50 0.588026\n0.75 1.189355\nName: 12845, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6637872166715582, std values: 0.7803631124732845, min values: -1.9383392224344973, max values: 3.141939528112806, median values: 0.7517747327433011, and quantile values: 0.25 0.158038\n0.50 0.751775\n0.75 1.173902\nName: 12846, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.384863922186979, std values: 0.7371154329532906, min values: -2.019444869101018, max values: 4.0, median values: 0.4354761108267775, and quantile values: 0.25 -0.074811\n0.50 0.435476\n0.75 0.842315\nName: 12847, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20802823081239086, std values: 0.8061891876981906, min values: -2.5631847770497496, max values: 4.0, median values: -0.2851878895730582, and quantile values: 0.25 -0.762984\n0.50 -0.285188\n0.75 0.286537\nName: 12848, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2566049011925715, std values: 1.133853839814384, min values: -2.497627580948261, max values: 3.0, median values: 0.3882826702005742, and quantile values: 0.25 -0.558328\n0.50 0.388283\n0.75 1.192713\nName: 12849, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04235496038273951, std values: 0.7838402014717795, min values: -2.662750916816848, max values: 5.0, median values: -0.0329997566234802, and quantile values: 0.25 -0.575246\n0.50 -0.033000\n0.75 0.502501\nName: 12850, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21972143833307572, std values: 0.9028614165348325, min values: -2.634919142586459, max values: 6.0, median values: -0.247237743846052, and quantile values: 0.25 -0.782340\n0.50 -0.247238\n0.75 0.355207\nName: 12851, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6774659170809303, std values: 0.96755027182299, min values: -2.5759052915632985, max values: 3.096891534584617, median values: -0.6592426649157185, and quantile values: 0.25 -1.355013\n0.50 -0.659243\n0.75 -0.111101\nName: 12852, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2775889432861409, std values: 0.9301383054276843, min values: -3.228456465836797, max values: 3.630507857092792, median values: -0.2664553379269477, and quantile values: 0.25 -0.935933\n0.50 -0.266455\n0.75 0.343124\nName: 12853, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10394673718587487, std values: 0.7695139902613154, min values: -2.541693081833126, max values: 3.0, median values: 0.144673577068479, and quantile values: 0.25 -0.393385\n0.50 0.144674\n0.75 0.595584\nName: 12854, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01883149686771828, std values: 0.801578512046028, min values: -2.0744709221036657, max values: 5.0, median values: -0.0515212997512907, and quantile values: 0.25 -0.562631\n0.50 -0.051521\n0.75 0.473033\nName: 12855, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20462212537254568, std values: 1.0373141791226774, min values: -2.6800544037614658, max values: 4.0, median values: -0.1460073033967474, and quantile values: 0.25 -0.764660\n0.50 -0.146007\n0.75 0.469323\nName: 12856, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.027374102921870633, std values: 0.8534565698846763, min values: -2.142034234211891, max values: 5.0, median values: 0.0224739711694004, and quantile values: 0.25 -0.556430\n0.50 0.022474\n0.75 0.566715\nName: 12857, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0782656444598644, std values: 0.7974934215030574, min values: -2.212004168819108, max values: 3.2936960268109283, median values: 0.1672580354321461, and quantile values: 0.25 -0.473618\n0.50 0.167258\n0.75 0.646286\nName: 12858, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06378970759175605, std values: 0.7497143960220004, min values: -2.45229857681487, max values: 3.569037956734876, median values: -0.0809160957136805, and quantile values: 0.25 -0.554206\n0.50 -0.080916\n0.75 0.405929\nName: 12859, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4090563003129865, std values: 0.8863386920519069, min values: -2.724017888297919, max values: 3.477886732511886, median values: 0.5128396203272229, and quantile values: 0.25 -0.085662\n0.50 0.512840\n0.75 0.991064\nName: 12860, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3043589176115011, std values: 0.9431750488272785, min values: -2.57895707818966, max values: 6.0, median values: 0.4420863529845263, and quantile values: 0.25 -0.287059\n0.50 0.442086\n0.75 0.950998\nName: 12861, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11132609516375344, std values: 0.9245131242216165, min values: -2.7024513197886706, max values: 3.258347009006034, median values: 0.1348823432352341, and quantile values: 0.25 -0.574299\n0.50 0.134882\n0.75 0.809788\nName: 12862, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05060842061121262, std values: 0.8625831045541907, min values: -2.618746139350171, max values: 4.243835016543704, median values: -0.0611806088184035, and quantile values: 0.25 -0.666284\n0.50 -0.061181\n0.75 0.490192\nName: 12863, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.47375072725194234, std values: 0.8523957926163401, min values: -2.191559373369988, max values: 3.0, median values: -0.5805529387564213, and quantile values: 0.25 -1.129630\n0.50 -0.580553\n0.75 0.038368\nName: 12864, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5808803629348095, std values: 0.9128641860419251, min values: -2.841647375415054, max values: 3.867701659180865, median values: -0.6477141500980861, and quantile values: 0.25 -1.189131\n0.50 -0.647714\n0.75 -0.030824\nName: 12865, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.046150180670931525, std values: 1.0735940112290834, min values: -2.916688926075616, max values: 6.0, median values: 0.111834813536293, and quantile values: 0.25 -0.599720\n0.50 0.111835\n0.75 0.646257\nName: 12866, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.487389007680027, std values: 1.001745846798983, min values: -2.622709665346679, max values: 3.0, median values: 0.5241944254082289, and quantile values: 0.25 -0.066249\n0.50 0.524194\n0.75 1.142927\nName: 12867, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06976323167815981, std values: 0.8454728213883245, min values: -2.209826040384377, max values: 3.4758930087721422, median values: -0.0604304738251281, and quantile values: 0.25 -0.703846\n0.50 -0.060430\n0.75 0.539550\nName: 12868, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.213562704126826, std values: 0.9105755030028004, min values: -2.769191083399913, max values: 3.0, median values: -0.1749925649930916, and quantile values: 0.25 -0.660895\n0.50 -0.174993\n0.75 0.327872\nName: 12869, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35344087781310357, std values: 1.0567483554294834, min values: -3.074005993202373, max values: 4.243835016543704, median values: 0.493045517564359, and quantile values: 0.25 -0.283760\n0.50 0.493046\n0.75 1.139977\nName: 12870, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5809824321895568, std values: 1.0173129579510845, min values: -2.6023368942328267, max values: 3.598076523509904, median values: 0.6241967941350569, and quantile values: 0.25 -0.179665\n0.50 0.624197\n0.75 1.405559\nName: 12871, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3196349077040259, std values: 0.8451845070459026, min values: -2.3333312203517527, max values: 3.306454397423372, median values: -0.3874418029152898, and quantile values: 0.25 -0.909539\n0.50 -0.387442\n0.75 0.183627\nName: 12872, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.446612345828094, std values: 0.8193844446656681, min values: -2.525881048269423, max values: 3.477886732511886, median values: -0.5520030338552248, and quantile values: 0.25 -1.066007\n0.50 -0.552003\n0.75 0.079258\nName: 12873, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3581404853591279, std values: 0.9961479693169586, min values: -3.5186644300181262, max values: 3.076680642207697, median values: -0.5179139873604641, and quantile values: 0.25 -1.089536\n0.50 -0.517914\n0.75 0.291447\nName: 12874, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21183765240950087, std values: 0.8991270874536771, min values: -2.101645934107982, max values: 2.865194562892494, median values: 0.2707678182642909, and quantile values: 0.25 -0.431181\n0.50 0.270768\n0.75 0.886617\nName: 12875, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23702447717743008, std values: 0.9970596215238531, min values: -2.732564679617164, max values: 4.026668017837955, median values: 0.2511011818059796, and quantile values: 0.25 -0.377738\n0.50 0.251101\n0.75 0.854952\nName: 12876, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08674965314232704, std values: 0.8307995715315492, min values: -3.28024538647024, max values: 3.05919958255637, median values: -0.0342104987377234, and quantile values: 0.25 -0.626843\n0.50 -0.034210\n0.75 0.440204\nName: 12877, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10450008288748656, std values: 0.871770391264318, min values: -1.880729024882335, max values: 6.0, median values: 0.0367362812021119, and quantile values: 0.25 -0.584221\n0.50 0.036736\n0.75 0.745688\nName: 12878, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5547582963750003, std values: 0.9937192203699785, min values: -2.739804196611005, max values: 6.0, median values: -0.6429119161583007, and quantile values: 0.25 -1.382994\n0.50 -0.642912\n0.75 0.117172\nName: 12879, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3025813960553504, std values: 0.889732421255316, min values: -2.5743883495350026, max values: 5.0, median values: -0.3718590404570354, and quantile values: 0.25 -0.870141\n0.50 -0.371859\n0.75 0.277910\nName: 12880, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06133667384260863, std values: 0.9247027290663935, min values: -2.087432639025188, max values: 5.0, median values: -0.0463638685956579, and quantile values: 0.25 -0.604937\n0.50 -0.046364\n0.75 0.659286\nName: 12881, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30644343906251775, std values: 0.8820801146324201, min values: -2.5695487141177, max values: 4.0, median values: 0.3849348953207447, and quantile values: 0.25 -0.123968\n0.50 0.384935\n0.75 0.845420\nName: 12882, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6998423063776448, std values: 0.8247917654498438, min values: -2.579723791499676, max values: 4.0, median values: -0.8656060833516326, and quantile values: 0.25 -1.332223\n0.50 -0.865606\n0.75 -0.204749\nName: 12883, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14896274652875563, std values: 0.8898387598945918, min values: -2.3513238340424047, max values: 3.3483277116524426, median values: 0.096911142338219, and quantile values: 0.25 -0.458667\n0.50 0.096911\n0.75 0.732984\nName: 12884, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08241859806622923, std values: 1.068936018734532, min values: -2.63315074164461, max values: 6.0, median values: -0.0419399027490229, and quantile values: 0.25 -0.884547\n0.50 -0.041940\n0.75 0.770095\nName: 12885, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22405908701226684, std values: 0.8568527271018597, min values: -2.5825978442440407, max values: 6.0, median values: -0.3401672228980064, and quantile values: 0.25 -0.848329\n0.50 -0.340167\n0.75 0.300424\nName: 12886, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17170070324356662, std values: 1.0477155272720085, min values: -2.769191083399913, max values: 3.4566816047670264, median values: 0.2172470485159596, and quantile values: 0.25 -0.330149\n0.50 0.217247\n0.75 0.844607\nName: 12887, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42354377987723957, std values: 1.006354673427333, min values: -1.882561971381829, max values: 3.438667023696733, median values: 0.3979086239339345, and quantile values: 0.25 -0.371339\n0.50 0.397909\n0.75 1.255992\nName: 12888, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12891300487191099, std values: 0.7800516191127148, min values: -2.572123985342288, max values: 4.0, median values: 0.178069461981803, and quantile values: 0.25 -0.376155\n0.50 0.178069\n0.75 0.610801\nName: 12889, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1743314008585713, std values: 1.1937619427177901, min values: -2.6820581866633817, max values: 4.026668017837955, median values: 0.1571760867676978, and quantile values: 0.25 -0.598633\n0.50 0.157176\n0.75 0.814008\nName: 12890, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4154879921599487, std values: 0.7771405165479927, min values: -2.206308786180525, max values: 6.0, median values: -0.4870625300810174, and quantile values: 0.25 -1.012556\n0.50 -0.487063\n0.75 0.070892\nName: 12891, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3032124434077358, std values: 0.8894699667338974, min values: -2.103263298070576, max values: 2.6663209534568373, median values: -0.3598746272094696, and quantile values: 0.25 -1.023515\n0.50 -0.359875\n0.75 0.406169\nName: 12892, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.014503228656402047, std values: 0.7686677262758438, min values: -2.579952672199424, max values: 6.0, median values: 0.0216751364627177, and quantile values: 0.25 -0.544477\n0.50 0.021675\n0.75 0.491564\nName: 12893, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23378456994851063, std values: 0.877995682737392, min values: -2.475778245535816, max values: 4.0, median values: -0.334077274653135, and quantile values: 0.25 -0.909325\n0.50 -0.334077\n0.75 0.306306\nName: 12894, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3263111836672079, std values: 0.8300560263573594, min values: -2.0565142278745463, max values: 2.865194562892494, median values: 0.2824566366651495, and quantile values: 0.25 -0.220632\n0.50 0.282457\n0.75 0.864445\nName: 12895, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1822776472250556, std values: 0.9044762777226708, min values: -2.8164291268114208, max values: 3.598076523509904, median values: -0.1892062495042516, and quantile values: 0.25 -0.782752\n0.50 -0.189206\n0.75 0.389120\nName: 12896, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7602839852694998, std values: 1.1303220054840526, min values: -2.101255482180127, max values: 4.278004674434932, median values: 0.7633699368114337, and quantile values: 0.25 -0.108220\n0.50 0.763370\n0.75 1.729771\nName: 12897, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0013082834210262546, std values: 0.8241331728267054, min values: -2.050447226825624, max values: 4.0, median values: 0.0588855252904518, and quantile values: 0.25 -0.607366\n0.50 0.058886\n0.75 0.596296\nName: 12898, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3658569731839739, std values: 0.785658034887638, min values: -2.070226764228553, max values: 2.6682522942394846, median values: -0.4398706939193179, and quantile values: 0.25 -0.928363\n0.50 -0.439871\n0.75 0.124773\nName: 12899, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16119634188348292, std values: 0.8848488890324101, min values: -2.174309863242296, max values: 3.670892362631932, median values: 0.0966203363856853, and quantile values: 0.25 -0.532729\n0.50 0.096620\n0.75 0.804172\nName: 12900, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28263496333477073, std values: 0.8221177970296448, min values: -2.7230534645798463, max values: 3.518664430018096, median values: -0.3472125902533291, and quantile values: 0.25 -0.811739\n0.50 -0.347213\n0.75 0.230136\nName: 12901, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0399220102961189, std values: 1.7008540650220527, min values: -3.05087304133376, max values: 5.0, median values: -1.9019763431034724, and quantile values: 0.25 -2.258623\n0.50 -1.901976\n0.75 0.203205\nName: 12902, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21642215492185118, std values: 0.8572445430896174, min values: -2.732564679617164, max values: 3.9905524164385566, median values: 0.1994665210026664, and quantile values: 0.25 -0.314976\n0.50 0.199467\n0.75 0.702343\nName: 12903, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2839121457470216, std values: 0.733899908170575, min values: -1.9041657875719693, max values: 3.709787027503053, median values: 0.3026847047151123, and quantile values: 0.25 -0.180616\n0.50 0.302685\n0.75 0.727817\nName: 12904, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7941462433649058, std values: 1.1009237071823315, min values: -2.916688926075616, max values: 6.0, median values: -0.8351924750991191, and quantile values: 0.25 -1.696895\n0.50 -0.835192\n0.75 -0.008647\nName: 12905, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16294858815935231, std values: 0.9656548674305192, min values: -2.788272971802125, max values: 6.0, median values: -0.2134983764563051, and quantile values: 0.25 -0.819651\n0.50 -0.213498\n0.75 0.493179\nName: 12906, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1477680872814586, std values: 0.7404150333086507, min values: -2.0664852352279466, max values: 4.0, median values: 0.1998040637486506, and quantile values: 0.25 -0.366634\n0.50 0.199804\n0.75 0.689446\nName: 12907, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11925917796718888, std values: 0.7822856611517448, min values: -2.5820330744015787, max values: 4.0, median values: 0.1872823712808381, and quantile values: 0.25 -0.314384\n0.50 0.187282\n0.75 0.608943\nName: 12908, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5036975870851994, std values: 0.8590930530257541, min values: -2.693453432157769, max values: 3.2936960268109283, median values: 0.6573364204626425, and quantile values: 0.25 -0.047110\n0.50 0.657336\n0.75 1.102361\nName: 12909, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3856832790838188, std values: 1.0965863310065103, min values: -1.988278228568337, max values: 3.2696814875916886, median values: 0.2923090370957374, and quantile values: 0.25 -0.485265\n0.50 0.292309\n0.75 1.309381\nName: 12910, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06773420624646267, std values: 0.9143866043911044, min values: -2.0636163886830534, max values: 2.989910119779402, median values: -0.1139559820189557, and quantile values: 0.25 -0.776184\n0.50 -0.113956\n0.75 0.558731\nName: 12911, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3917689344040462, std values: 0.8545409131057883, min values: -2.5682675825126706, max values: 5.0, median values: 0.3390317589547168, and quantile values: 0.25 -0.169727\n0.50 0.339032\n0.75 0.971343\nName: 12912, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21985863390578234, std values: 1.079249314950978, min values: -2.8246479422601736, max values: 6.0, median values: -0.2446830881451628, and quantile values: 0.25 -0.984750\n0.50 -0.244683\n0.75 0.573357\nName: 12913, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5583645347768463, std values: 0.9743473822179307, min values: -2.572123985342288, max values: 5.0, median values: 0.6381784803788098, and quantile values: 0.25 -0.022857\n0.50 0.638178\n0.75 1.264482\nName: 12914, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.011696406889958362, std values: 0.9295363788819653, min values: -2.196708653609315, max values: 6.0, median values: 0.0714702371041536, and quantile values: 0.25 -0.713537\n0.50 0.071470\n0.75 0.675112\nName: 12915, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.525245651594695, std values: 1.034773863783704, min values: -1.9426828178266249, max values: 5.0, median values: 0.4457636757491756, and quantile values: 0.25 -0.233405\n0.50 0.445764\n0.75 1.224494\nName: 12916, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4797495625385307, std values: 0.8275521162382913, min values: -1.947797115129811, max values: 3.147276669305989, median values: 0.5393423874302772, and quantile values: 0.25 -0.048588\n0.50 0.539342\n0.75 1.033917\nName: 12917, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28702257388997665, std values: 0.9027758398838669, min values: -2.497627580948261, max values: 3.0, median values: -0.2246971295214597, and quantile values: 0.25 -0.870141\n0.50 -0.224697\n0.75 0.296911\nName: 12918, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2493562052809813, std values: 0.9117137608989078, min values: -2.062310304625852, max values: 3.0533207538164056, median values: 0.2785402514675002, and quantile values: 0.25 -0.458851\n0.50 0.278540\n0.75 0.976919\nName: 12919, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16775812121250258, std values: 0.8123286243834174, min values: -2.662750916816848, max values: 5.0, median values: 0.2374224139597517, and quantile values: 0.25 -0.440538\n0.50 0.237422\n0.75 0.718434\nName: 12920, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4452229196341764, std values: 0.8406212590631276, min values: -2.132840460960708, max values: 3.045947208515846, median values: 0.5306990641551245, and quantile values: 0.25 -0.128118\n0.50 0.530699\n0.75 1.030608\nName: 12921, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1116429969159125, std values: 0.7666633101182072, min values: -2.1232100101643527, max values: 6.0, median values: 0.101875218398733, and quantile values: 0.25 -0.398037\n0.50 0.101875\n0.75 0.574271\nName: 12922, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11187754679452101, std values: 0.8032216416231147, min values: -2.56026492390943, max values: 4.0, median values: 0.1661625828463603, and quantile values: 0.25 -0.435131\n0.50 0.166163\n0.75 0.622614\nName: 12923, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12684436816049777, std values: 0.8575313857335785, min values: -2.634919142586459, max values: 6.0, median values: 0.0440216614951444, and quantile values: 0.25 -0.466145\n0.50 0.044022\n0.75 0.675365\nName: 12924, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04959142586465467, std values: 0.7771276477171963, min values: -2.4564928597243227, max values: 4.0, median values: -0.0502528500068577, and quantile values: 0.25 -0.538292\n0.50 -0.050253\n0.75 0.414129\nName: 12925, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1351314173348733, std values: 0.8692939371633454, min values: -2.5422910691068967, max values: 4.243835016543704, median values: 0.1413546109737021, and quantile values: 0.25 -0.489855\n0.50 0.141355\n0.75 0.702449\nName: 12926, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04159856584363877, std values: 0.8198202332913062, min values: -2.8998169811239416, max values: 3.258347009006034, median values: -0.0067196429554023, and quantile values: 0.25 -0.603902\n0.50 -0.006720\n0.75 0.537941\nName: 12927, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2584788461494581, std values: 0.9366712702466952, min values: -2.643887016977268, max values: 6.0, median values: -0.314731719502245, and quantile values: 0.25 -0.854237\n0.50 -0.314732\n0.75 0.346128\nName: 12928, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.478530398027886, std values: 0.9820467157651538, min values: -2.62876542141649, max values: 3.176672644814091, median values: -0.6623591963885651, and quantile values: 0.25 -1.220801\n0.50 -0.662359\n0.75 0.088200\nName: 12929, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.401418087100718, std values: 0.9129169577886227, min values: -2.1149759989911825, max values: 3.667275230673496, median values: 0.4210402411906255, and quantile values: 0.25 -0.276166\n0.50 0.421040\n0.75 1.167477\nName: 12930, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.006365662769425676, std values: 1.0294625912198443, min values: -2.5695487141177, max values: 4.0, median values: 0.0980272531963876, and quantile values: 0.25 -0.744852\n0.50 0.098027\n0.75 0.761909\nName: 12931, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10270134573117883, std values: 0.7928201979601823, min values: -2.838932175687192, max values: 4.0, median values: -0.1123104815306056, and quantile values: 0.25 -0.619289\n0.50 -0.112310\n0.75 0.383649\nName: 12932, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06649316549112988, std values: 0.7777944664585607, min values: -2.5201815750705507, max values: 4.0, median values: -0.1083308580785445, and quantile values: 0.25 -0.602327\n0.50 -0.108331\n0.75 0.408368\nName: 12933, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.009227345401067445, std values: 1.0398880033690299, min values: -2.673549169958716, max values: 6.0, median values: 0.0126408813377172, and quantile values: 0.25 -0.768497\n0.50 0.012641\n0.75 0.740629\nName: 12934, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20537961352205913, std values: 0.7398264414743122, min values: -2.226424194672579, max values: 4.0, median values: -0.2666022722889319, and quantile values: 0.25 -0.703154\n0.50 -0.266602\n0.75 0.211995\nName: 12935, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24458633531568236, std values: 0.8261430367080346, min values: -1.9851736225891727, max values: 3.281452258958016, median values: 0.2727618908627853, and quantile values: 0.25 -0.335038\n0.50 0.272762\n0.75 0.781518\nName: 12936, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23998032651238896, std values: 0.8345475771649041, min values: -2.2477784840641744, max values: 4.0, median values: 0.2807739803646802, and quantile values: 0.25 -0.313416\n0.50 0.280774\n0.75 0.754505\nName: 12937, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49377922709105915, std values: 0.8380389156905013, min values: -2.688157591415518, max values: 5.0, median values: -0.6071668075664666, and quantile values: 0.25 -1.150269\n0.50 -0.607167\n0.75 0.018507\nName: 12938, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44793733790333695, std values: 0.8416195123933337, min values: -2.8998169811239416, max values: 3.110498035652072, median values: -0.5576543063816879, and quantile values: 0.25 -1.100150\n0.50 -0.557654\n0.75 0.119002\nName: 12939, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03044633118457244, std values: 0.7893353373528352, min values: -2.39180940730784, max values: 4.0, median values: 0.0459241723370481, and quantile values: 0.25 -0.498505\n0.50 0.045924\n0.75 0.529462\nName: 12940, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10842832613254, std values: 0.8347168331716679, min values: -2.088894678224596, max values: 6.0, median values: 0.1183366449870755, and quantile values: 0.25 -0.492216\n0.50 0.118337\n0.75 0.717139\nName: 12941, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06962252270783187, std values: 0.9321157820214034, min values: -2.684072796644972, max values: 6.0, median values: 0.1330483649964506, and quantile values: 0.25 -0.542020\n0.50 0.133048\n0.75 0.689886\nName: 12942, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0661262111697739, std values: 0.7841254470964731, min values: -2.1227739687253626, max values: 3.096891534584617, median values: 0.1303537828817907, and quantile values: 0.25 -0.458147\n0.50 0.130354\n0.75 0.573017\nName: 12943, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3960669464605126, std values: 0.9071792938856299, min values: -2.928515832252388, max values: 5.0, median values: 0.4260484919962798, and quantile values: 0.25 -0.060872\n0.50 0.426048\n0.75 0.923881\nName: 12944, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17997796659033322, std values: 1.0187267948234036, min values: -2.642042398333877, max values: 3.224152805256112, median values: -0.2132281738994124, and quantile values: 0.25 -0.892107\n0.50 -0.213228\n0.75 0.435718\nName: 12945, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04328330751624492, std values: 0.8995307717221828, min values: -2.271143658239337, max values: 6.0, median values: -0.1148430255945044, and quantile values: 0.25 -0.731858\n0.50 -0.114843\n0.75 0.590146\nName: 12946, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07239773044295783, std values: 0.7417812248805609, min values: -2.475778245535816, max values: 3.0, median values: 0.0136048403299581, and quantile values: 0.25 -0.421529\n0.50 0.013605\n0.75 0.559699\nName: 12947, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23425095498791132, std values: 0.9608251437003548, min values: -2.9472833478224456, max values: 6.0, median values: -0.1024691731357282, and quantile values: 0.25 -0.814998\n0.50 -0.102469\n0.75 0.404364\nName: 12948, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.052400293906129713, std values: 0.8156975097725916, min values: -2.43645767532402, max values: 5.0, median values: -0.0051287099529628, and quantile values: 0.25 -0.650890\n0.50 -0.005129\n0.75 0.529368\nName: 12949, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3615043738702252, std values: 1.1569698944073648, min values: -2.277000415045123, max values: 4.0, median values: 0.3979086239339345, and quantile values: 0.25 -0.557516\n0.50 0.397909\n0.75 1.207025\nName: 12950, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0712607425159889, std values: 0.9497264961228282, min values: -2.6278943940336483, max values: 4.0, median values: 0.058670848341603, and quantile values: 0.25 -0.596723\n0.50 0.058671\n0.75 0.671726\nName: 12951, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2067864463247251, std values: 0.9676520224061058, min values: -2.9622221028070275, max values: 6.0, median values: -0.1029860133774956, and quantile values: 0.25 -0.752542\n0.50 -0.102986\n0.75 0.394023\nName: 12952, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04837215151187759, std values: 0.9982656707393452, min values: -2.9622221028070275, max values: 4.0, median values: 0.1837230773574446, and quantile values: 0.25 -0.476207\n0.50 0.183723\n0.75 0.703876\nName: 12953, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41255043891615656, std values: 0.9974903853797975, min values: -2.982771139679002, max values: 4.0, median values: -0.3418332587017741, and quantile values: 0.25 -0.911837\n0.50 -0.341833\n0.75 0.192189\nName: 12954, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19099270851815534, std values: 0.9780633506286946, min values: -2.72346435408924, max values: 4.0, median values: -0.1359616119103176, and quantile values: 0.25 -0.746270\n0.50 -0.135962\n0.75 0.428764\nName: 12955, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5481020684199276, std values: 0.8545409726553171, min values: -2.486556664247513, max values: 3.336438412828754, median values: -0.685943327757164, and quantile values: 0.25 -1.162523\n0.50 -0.685943\n0.75 -0.093564\nName: 12956, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3226388379774793, std values: 0.9970659007756356, min values: -2.981718296512785, max values: 5.0, median values: 0.3798608256885166, and quantile values: 0.25 -0.302041\n0.50 0.379861\n0.75 1.082088\nName: 12957, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20272409812616551, std values: 0.7402993339816496, min values: -2.6685266729136536, max values: 6.0, median values: -0.1948549764399515, and quantile values: 0.25 -0.699583\n0.50 -0.194855\n0.75 0.256107\nName: 12958, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29423190180246245, std values: 0.9559951475146133, min values: -2.601639132009086, max values: 6.0, median values: -0.4116068893959914, and quantile values: 0.25 -1.051296\n0.50 -0.411607\n0.75 0.314542\nName: 12959, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01692068212214989, std values: 0.965992950889092, min values: -2.657750824678472, max values: 5.0, median values: 0.0157412300269611, and quantile values: 0.25 -0.510038\n0.50 0.015741\n0.75 0.627815\nName: 12960, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45109266466662673, std values: 0.8079496890268675, min values: -2.1401729215069683, max values: 4.0, median values: -0.4398706939193179, and quantile values: 0.25 -1.073697\n0.50 -0.439871\n0.75 0.111050\nName: 12961, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18008488124598515, std values: 0.7736539421682367, min values: -2.556631690482005, max values: 3.670892362631932, median values: -0.2872253288020397, and quantile values: 0.25 -0.692369\n0.50 -0.287225\n0.75 0.261585\nName: 12962, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09507843454715822, std values: 1.0223000503741506, min values: -2.673549169958716, max values: 6.0, median values: 0.0290580640575618, and quantile values: 0.25 -0.568171\n0.50 0.029058\n0.75 0.759541\nName: 12963, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26392636049967994, std values: 0.970293454747661, min values: -2.1098479262714123, max values: 2.887007053971583, median values: 0.369528700197596, and quantile values: 0.25 -0.521149\n0.50 0.369529\n0.75 1.051153\nName: 12964, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2354838659459156, std values: 0.9143823274283901, min values: -2.12073996675014, max values: 3.362228250221886, median values: 0.1344654903819331, and quantile values: 0.25 -0.395991\n0.50 0.134465\n0.75 0.825351\nName: 12965, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18359083507363247, std values: 0.9844252834502262, min values: -2.30045880359058, max values: 4.0, median values: -0.3524802377682652, and quantile values: 0.25 -0.895052\n0.50 -0.352480\n0.75 0.397451\nName: 12966, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07439479686497825, std values: 0.8834702233690956, min values: -2.2012167772695554, max values: 3.667275230673496, median values: 0.0004963246141586, and quantile values: 0.25 -0.581924\n0.50 0.000496\n0.75 0.677594\nName: 12967, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24494685003712133, std values: 1.1789129938838276, min values: -2.5293911731823453, max values: 3.169414082461771, median values: -0.2993865374502789, and quantile values: 0.25 -1.113685\n0.50 -0.299387\n0.75 0.580545\nName: 12968, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14885699283163015, std values: 0.8245611305248852, min values: -2.0362317154895964, max values: 4.0, median values: 0.1984769206204147, and quantile values: 0.25 -0.435173\n0.50 0.198477\n0.75 0.742528\nName: 12969, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06574428348981896, std values: 1.108867933810472, min values: -2.8246479422601736, max values: 5.0, median values: -0.1606086140358263, and quantile values: 0.25 -0.935656\n0.50 -0.160609\n0.75 0.733308\nName: 12970, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07066248994453068, std values: 0.9079020912010335, min values: -2.9029979285382743, max values: 6.0, median values: -0.1157122547171062, and quantile values: 0.25 -0.649699\n0.50 -0.115712\n0.75 0.510092\nName: 12971, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.004458330505073203, std values: 1.067229407342269, min values: -2.8282523283494294, max values: 4.0, median values: 0.1239725563332764, and quantile values: 0.25 -0.646898\n0.50 0.123973\n0.75 0.683367\nName: 12972, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09471880312551563, std values: 0.8463035755560314, min values: -2.048935494746508, max values: 3.1888787873512885, median values: -0.1796645155821498, and quantile values: 0.25 -0.722989\n0.50 -0.179665\n0.75 0.452374\nName: 12973, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06796417958061118, std values: 0.873592494834705, min values: -2.221075353514828, max values: 3.0876051304901218, median values: 0.0990000739599615, and quantile values: 0.25 -0.561388\n0.50 0.099000\n0.75 0.637976\nName: 12974, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6653941085613787, std values: 0.857837230624475, min values: -2.688157591415518, max values: 5.0, median values: -0.7450509415369825, and quantile values: 0.25 -1.243365\n0.50 -0.745051\n0.75 -0.183640\nName: 12975, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.029625683122444534, std values: 0.8227876708082142, min values: -2.5689076212724418, max values: 5.0, median values: 0.1260687108698692, and quantile values: 0.25 -0.559358\n0.50 0.126069\n0.75 0.617818\nName: 12976, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24727522395282395, std values: 1.1807699443593087, min values: -2.93129584560762, max values: 6.0, median values: -0.3683200744218322, and quantile values: 0.25 -1.026324\n0.50 -0.368320\n0.75 0.607934\nName: 12977, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4590520894370893, std values: 1.004027435806288, min values: -2.6710294992370565, max values: 3.528773265847577, median values: 0.641430390307843, and quantile values: 0.25 -0.091712\n0.50 0.641430\n0.75 1.156936\nName: 12978, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2269583045572172, std values: 0.8390202366573977, min values: -2.117561035454381, max values: 6.0, median values: 0.2683659346448875, and quantile values: 0.25 -0.353096\n0.50 0.268366\n0.75 0.816726\nName: 12979, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10516254292681695, std values: 0.9727079603221866, min values: -2.1453227721253567, max values: 5.0, median values: -0.1570325188741682, and quantile values: 0.25 -0.875906\n0.50 -0.157033\n0.75 0.574884\nName: 12980, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41718677412058225, std values: 0.9113701878178029, min values: -2.157019117459074, max values: 4.0, median values: -0.5041520692884311, and quantile values: 0.25 -1.194100\n0.50 -0.504152\n0.75 0.201275\nName: 12981, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.002221571190104853, std values: 1.0465702493614961, min values: -2.673124659932621, max values: 6.0, median values: 0.1254969778101589, and quantile values: 0.25 -0.698507\n0.50 0.125497\n0.75 0.700217\nName: 12982, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5768116936426564, std values: 0.8394701561141692, min values: -2.5859127503381347, max values: 3.1175233493066874, median values: -0.5603898367107097, and quantile values: 0.25 -1.188909\n0.50 -0.560390\n0.75 -0.068323\nName: 12983, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27631626063381903, std values: 0.7892653645108421, min values: -2.321103531050575, max values: 4.0, median values: 0.2706759198478312, and quantile values: 0.25 -0.252039\n0.50 0.270676\n0.75 0.789918\nName: 12984, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5222563227529933, std values: 0.7919422796513585, min values: -2.730840794324401, max values: 3.05919958255637, median values: -0.6056977970358665, and quantile values: 0.25 -1.049145\n0.50 -0.605698\n0.75 -0.095486\nName: 12985, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3936419051430159, std values: 1.3818370474163317, min values: -3.071284484560209, max values: 3.518664430018096, median values: 0.3382646262415685, and quantile values: 0.25 -0.765009\n0.50 0.338265\n0.75 1.441756\nName: 12986, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44096285160708676, std values: 0.8526162829521771, min values: -2.349293916724472, max values: 3.0, median values: 0.5045815124325418, and quantile values: 0.25 -0.158015\n0.50 0.504582\n0.75 1.100020\nName: 12987, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03734938353001844, std values: 0.9357130496885382, min values: -2.348859199894985, max values: 6.0, median values: -0.1825454027201697, and quantile values: 0.25 -0.689086\n0.50 -0.182545\n0.75 0.521969\nName: 12988, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11060015229773558, std values: 0.8664869019900403, min values: -2.5695487141177, max values: 4.0, median values: 0.1771462171851621, and quantile values: 0.25 -0.356340\n0.50 0.177146\n0.75 0.658186\nName: 12989, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35856261024589403, std values: 0.8591587115670639, min values: -2.5563022890751474, max values: 4.0, median values: -0.3835117433164439, and quantile values: 0.25 -0.938516\n0.50 -0.383512\n0.75 0.160776\nName: 12990, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3953762119793877, std values: 1.029938326907846, min values: -2.5213149333948146, max values: 3.709787027503053, median values: 0.3992397646714182, and quantile values: 0.25 -0.393877\n0.50 0.399240\n0.75 1.176636\nName: 12991, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.019499646871393047, std values: 0.7185871621444746, min values: -2.087432639025188, max values: 4.0, median values: -0.0918545151385536, and quantile values: 0.25 -0.476855\n0.50 -0.091855\n0.75 0.390169\nName: 12992, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29816835674194353, std values: 0.9732859591207953, min values: -2.687115288423959, max values: 5.0, median values: -0.3982667918599871, and quantile values: 0.25 -1.093250\n0.50 -0.398267\n0.75 0.341308\nName: 12993, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14209486166022806, std values: 0.8167647522086757, min values: -1.9494968712502856, max values: 3.379902545505621, median values: 0.0793136811641908, and quantile values: 0.25 -0.418161\n0.50 0.079314\n0.75 0.648793\nName: 12994, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2584813529042927, std values: 0.9034974735745109, min values: -2.8663054413554843, max values: 6.0, median values: -0.2903836607873203, and quantile values: 0.25 -0.879984\n0.50 -0.290384\n0.75 0.315477\nName: 12995, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13161850620745083, std values: 0.8484786233866631, min values: -2.39180940730784, max values: 4.0, median values: -0.0849262140228651, and quantile values: 0.25 -0.740788\n0.50 -0.084926\n0.75 0.412577\nName: 12996, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49542602114641615, std values: 0.9075531633412622, min values: -2.5879430435308, max values: 3.434669824302974, median values: -0.5616623182876128, and quantile values: 0.25 -1.243778\n0.50 -0.561662\n0.75 0.115903\nName: 12997, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2568148990617836, std values: 1.0813194360332343, min values: -2.1052796288777285, max values: 2.8021829819288926, median values: 0.2273245419270025, and quantile values: 0.25 -0.597222\n0.50 0.227325\n0.75 1.202984\nName: 12998, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5279477312945733, std values: 0.8386196979165115, min values: -2.087919489660226, max values: 5.0, median values: 0.4416005437155637, and quantile values: 0.25 -0.041982\n0.50 0.441601\n0.75 1.108936\nName: 12999, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08881249394862678, std values: 0.8988541883261731, min values: -2.035433106585047, max values: 3.1841025362512254, median values: 0.0189560077648034, and quantile values: 0.25 -0.588600\n0.50 0.018956\n0.75 0.701955\nName: 13000, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2374162887871664, std values: 0.8618015355064929, min values: -1.962697027733364, max values: 4.0, median values: -0.3459828072240485, and quantile values: 0.25 -0.932609\n0.50 -0.345983\n0.75 0.366355\nName: 13001, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3925967191886438, std values: 0.7822860057693012, min values: -2.1232100101643527, max values: 6.0, median values: 0.4386272296939522, and quantile values: 0.25 -0.101408\n0.50 0.438627\n0.75 0.916899\nName: 13002, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09923303844908309, std values: 0.9015426665140207, min values: -2.023268385245388, max values: 5.0, median values: 0.1017564317706891, and quantile values: 0.25 -0.527468\n0.50 0.101756\n0.75 0.658362\nName: 13003, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4191488911113116, std values: 0.9393554825927581, min values: -2.032440963438165, max values: 5.0, median values: 0.3612559071983366, and quantile values: 0.25 -0.298753\n0.50 0.361256\n0.75 1.105795\nName: 13004, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.656743460795322, std values: 0.8646529092813063, min values: -2.1548749249906303, max values: 5.0, median values: 0.7513367608431587, and quantile values: 0.25 0.084011\n0.50 0.751337\n0.75 1.331420\nName: 13005, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31093657447794837, std values: 1.126260618479713, min values: -2.981718296512785, max values: 5.0, median values: -0.1758874901456739, and quantile values: 0.25 -1.011233\n0.50 -0.175887\n0.75 0.479511\nName: 13006, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16565504970031664, std values: 0.7762930305919498, min values: -2.2012167772695554, max values: 3.390469008396469, median values: -0.2598647032162553, and quantile values: 0.25 -0.708205\n0.50 -0.259865\n0.75 0.347941\nName: 13007, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5520664215509847, std values: 1.2261759192047668, min values: -2.727901130262228, max values: 4.243835016543704, median values: -0.3077784324936718, and quantile values: 0.25 -1.834711\n0.50 -0.307778\n0.75 0.325412\nName: 13008, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3850919441000558, std values: 0.8977503066822036, min values: -2.5774281843044924, max values: 4.243835016543704, median values: 0.4684792855957987, and quantile values: 0.25 -0.184677\n0.50 0.468479\n0.75 0.987133\nName: 13009, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31114465404769615, std values: 0.8116227485121813, min values: -2.264034258932616, max values: 3.477886732511886, median values: 0.2711901591233177, and quantile values: 0.25 -0.225771\n0.50 0.271190\n0.75 0.831881\nName: 13010, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.037239498935181074, std values: 0.8195668042112898, min values: -2.0681185926384043, max values: 3.670892362631932, median values: -0.1358550911756579, and quantile values: 0.25 -0.591328\n0.50 -0.135855\n0.75 0.490973\nName: 13011, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6660268658396687, std values: 1.0463780951679005, min values: -2.1052796288777285, max values: 4.0, median values: 0.736157578307935, and quantile values: 0.25 -0.082768\n0.50 0.736158\n0.75 1.462214\nName: 13012, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5094442540108112, std values: 0.737666502199956, min values: -2.7884838087481176, max values: 6.0, median values: 0.5179680415106738, and quantile values: 0.25 0.079756\n0.50 0.517968\n0.75 0.962290\nName: 13013, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27367028490151246, std values: 0.8460158324328632, min values: -2.156806272086999, max values: 3.163266084685921, median values: 0.3121993377425303, and quantile values: 0.25 -0.296777\n0.50 0.312199\n0.75 0.870624\nName: 13014, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04557853271741166, std values: 0.9103952727268564, min values: -2.8246479422601736, max values: 5.0, median values: 0.121424555696428, and quantile values: 0.25 -0.489899\n0.50 0.121425\n0.75 0.620836\nName: 13015, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3632127481698437, std values: 0.8239091461943766, min values: -2.0262628134849465, max values: 5.0, median values: -0.4709062713328665, and quantile values: 0.25 -0.997963\n0.50 -0.470906\n0.75 0.161529\nName: 13016, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21643453424126766, std values: 0.9889785880131241, min values: -2.079371595256712, max values: 5.0, median values: -0.2444277106557451, and quantile values: 0.25 -0.976151\n0.50 -0.244428\n0.75 0.484204\nName: 13017, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10401027574755771, std values: 0.7641972344758149, min values: -2.6899145007874274, max values: 3.405671179043623, median values: -0.1401645334832375, and quantile values: 0.25 -0.578345\n0.50 -0.140165\n0.75 0.344402\nName: 13018, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18046199930933807, std values: 0.899864184859502, min values: -2.8680719719444903, max values: 2.770143263071587, median values: 0.1539447959395573, and quantile values: 0.25 -0.367436\n0.50 0.153945\n0.75 0.779539\nName: 13019, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11186175795260915, std values: 0.777316184621913, min values: -1.9870869113932128, max values: 4.0, median values: 0.1533008806300401, and quantile values: 0.25 -0.420687\n0.50 0.153301\n0.75 0.615972\nName: 13020, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19730767427910895, std values: 1.1539972502484768, min values: -2.807209974165368, max values: 6.0, median values: -0.0712947482726366, and quantile values: 0.25 -1.004815\n0.50 -0.071295\n0.75 0.661821\nName: 13021, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3428086623419566, std values: 0.7501996322017334, min values: -2.172504607314173, max values: 5.0, median values: 0.3124229435719848, and quantile values: 0.25 -0.117925\n0.50 0.312423\n0.75 0.809605\nName: 13022, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.502560859164409, std values: 0.9712414946308561, min values: -2.873069976951463, max values: 3.0, median values: -0.6487639276745294, and quantile values: 0.25 -1.206878\n0.50 -0.648764\n0.75 0.100925\nName: 13023, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5070018314349901, std values: 0.8225829727000294, min values: -2.1667085223812474, max values: 3.0, median values: -0.6155145870252469, and quantile values: 0.25 -1.128647\n0.50 -0.615515\n0.75 0.021533\nName: 13024, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7286305792297363, std values: 1.0592845624768288, min values: -2.8889090019311845, max values: 5.0, median values: 0.9158089963018567, and quantile values: 0.25 0.110769\n0.50 0.915809\n0.75 1.526394\nName: 13025, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06980790165975988, std values: 0.9936540230073845, min values: -2.916688926075616, max values: 6.0, median values: 0.0755130422374115, and quantile values: 0.25 -0.576931\n0.50 0.075513\n0.75 0.670416\nName: 13026, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19491251782236438, std values: 0.8368524286358885, min values: -3.0223671288921072, max values: 2.853157294082051, median values: 0.2141470259192684, and quantile values: 0.25 -0.328470\n0.50 0.214147\n0.75 0.749394\nName: 13027, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10975600810642541, std values: 1.1798416303930759, min values: -2.64479559868397, max values: 6.0, median values: -0.007988547475995, and quantile values: 0.25 -0.716681\n0.50 -0.007989\n0.75 0.648917\nName: 13028, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22401815680769124, std values: 1.0167298545953818, min values: -2.56026492390943, max values: 4.0, median values: -0.2842132281662601, and quantile values: 0.25 -0.935805\n0.50 -0.284213\n0.75 0.469217\nName: 13029, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17439695621584939, std values: 0.7999700345526976, min values: -2.564449278715455, max values: 3.3636961113187773, median values: 0.1223033786440914, and quantile values: 0.25 -0.390552\n0.50 0.122303\n0.75 0.736302\nName: 13030, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07705482025858094, std values: 0.81639221296857, min values: -2.419659473655063, max values: 4.0, median values: 0.0031670288926602, and quantile values: 0.25 -0.499192\n0.50 0.003167\n0.75 0.629255\nName: 13031, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07812498074215693, std values: 0.8694827157083864, min values: -2.196708653609315, max values: 6.0, median values: 0.0850922544230001, and quantile values: 0.25 -0.505346\n0.50 0.085092\n0.75 0.636053\nName: 13032, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.022798674013158732, std values: 0.8002453395000454, min values: -2.525362520654854, max values: 5.0, median values: -0.085558759886258, and quantile values: 0.25 -0.568754\n0.50 -0.085559\n0.75 0.435022\nName: 13033, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38965687383015135, std values: 1.0454443937235776, min values: -2.4705236352348297, max values: 3.030805337148847, median values: 0.3729602927732678, and quantile values: 0.25 -0.425667\n0.50 0.372960\n0.75 1.289164\nName: 13034, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11128370136398466, std values: 0.9378491675811257, min values: -2.842043939794492, max values: 3.1841025362512254, median values: 0.1831221912156272, and quantile values: 0.25 -0.516644\n0.50 0.183122\n0.75 0.772950\nName: 13035, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19916020565965753, std values: 1.112314543388456, min values: -2.608390851963037, max values: 5.0, median values: -0.0015697414890269, and quantile values: 0.25 -0.923822\n0.50 -0.001570\n0.75 0.597513\nName: 13036, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07381039136296623, std values: 0.7491234148659285, min values: -2.085005777586541, max values: 5.0, median values: 0.0941304989236702, and quantile values: 0.25 -0.437627\n0.50 0.094130\n0.75 0.545308\nName: 13037, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.045419455406121106, std values: 0.9283785724500447, min values: -2.679056533720636, max values: 5.0, median values: 0.0632881575471993, and quantile values: 0.25 -0.550022\n0.50 0.063288\n0.75 0.666559\nName: 13038, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2106484490639198, std values: 0.8169486326268451, min values: -2.6635706018350787, max values: 3.528773265847577, median values: 0.2687089657790343, and quantile values: 0.25 -0.372626\n0.50 0.268709\n0.75 0.824653\nName: 13039, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02601954814208521, std values: 0.8448373469752314, min values: -2.212004168819108, max values: 3.598076523509904, median values: -0.0807285295074641, and quantile values: 0.25 -0.611293\n0.50 -0.080729\n0.75 0.506536\nName: 13040, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17854164388343996, std values: 0.8372943019112893, min values: -2.584593648802428, max values: 3.05919958255637, median values: -0.277810956761848, and quantile values: 0.25 -0.761814\n0.50 -0.277811\n0.75 0.313298\nName: 13041, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2499760118523304, std values: 1.0163706464274727, min values: -2.5859127503381347, max values: 4.278004674434932, median values: -0.2485724823754597, and quantile values: 0.25 -0.773359\n0.50 -0.248572\n0.75 0.392895\nName: 13042, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32354888315599517, std values: 0.80123626057096, min values: -2.45229857681487, max values: 3.434669824302974, median values: 0.2935425649580764, and quantile values: 0.25 -0.195490\n0.50 0.293543\n0.75 0.834824\nName: 13043, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45043128663206017, std values: 0.8304864210433459, min values: -2.90140378513671, max values: 3.784832159836258, median values: 0.4732791114397792, and quantile values: 0.25 -0.076224\n0.50 0.473279\n0.75 0.983139\nName: 13044, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25006057003892757, std values: 0.8045196821187293, min values: -2.572123985342288, max values: 4.0, median values: -0.3546275699346123, and quantile values: 0.25 -0.822120\n0.50 -0.354628\n0.75 0.240414\nName: 13045, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01283413703146592, std values: 0.888791433566065, min values: -1.9348497905513573, max values: 3.3636961113187773, median values: -0.0267101656918647, and quantile values: 0.25 -0.674179\n0.50 -0.026710\n0.75 0.641930\nName: 13046, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13495033426919048, std values: 0.8988103169456001, min values: -2.142854198138545, max values: 5.0, median values: -0.2268441455481701, and quantile values: 0.25 -0.761561\n0.50 -0.226844\n0.75 0.460422\nName: 13047, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5112928494210868, std values: 0.9666264388092574, min values: -2.9128356588262565, max values: 3.3636961113187773, median values: -0.6300906525649199, and quantile values: 0.25 -1.206437\n0.50 -0.630091\n0.75 0.086848\nName: 13048, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18780438918783393, std values: 0.931657720195735, min values: -2.64479559868397, max values: 6.0, median values: 0.2207536200979716, and quantile values: 0.25 -0.369411\n0.50 0.220754\n0.75 0.763370\nName: 13049, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27633017344192073, std values: 0.7390315639383727, min values: -2.45229857681487, max values: 3.5908526919299577, median values: 0.3281212778355009, and quantile values: 0.25 -0.184256\n0.50 0.328121\n0.75 0.758942\nName: 13050, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41089131561514775, std values: 1.164747861798805, min values: -3.0484008792629496, max values: 5.0, median values: -0.2096995145364407, and quantile values: 0.25 -1.320377\n0.50 -0.209700\n0.75 0.462096\nName: 13051, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2622868579981638, std values: 0.8318937919851279, min values: -2.3808324358856225, max values: 3.867701659180865, median values: -0.335941523355248, and quantile values: 0.25 -0.844609\n0.50 -0.335942\n0.75 0.227346\nName: 13052, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18308695203289665, std values: 0.9207449670269057, min values: -2.13876869940687, max values: 6.0, median values: 0.1887250442088524, and quantile values: 0.25 -0.528323\n0.50 0.188725\n0.75 0.903811\nName: 13053, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.150081362972777, std values: 0.8839682475189764, min values: -2.062310304625852, max values: 5.0, median values: -0.2269854331614996, and quantile values: 0.25 -0.860331\n0.50 -0.226985\n0.75 0.461763\nName: 13054, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12466234405304295, std values: 0.8129996269030084, min values: -2.6899145007874274, max values: 3.135426854633533, median values: 0.1230675676001021, and quantile values: 0.25 -0.410928\n0.50 0.123068\n0.75 0.655195\nName: 13055, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02625900409614326, std values: 0.8860106174936471, min values: -2.7428415536925543, max values: 4.243835016543704, median values: -0.1231913006779692, and quantile values: 0.25 -0.619485\n0.50 -0.123191\n0.75 0.453784\nName: 13056, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5143604789918452, std values: 0.7754127186588824, min values: -1.8711291588952697, max values: 3.124705982383484, median values: 0.589921383347929, and quantile values: 0.25 0.009364\n0.50 0.589921\n0.75 1.049450\nName: 13057, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29611991947532906, std values: 0.8253451556477704, min values: -2.2398683045325223, max values: 3.32433157891547, median values: -0.3896546786220378, and quantile values: 0.25 -0.889527\n0.50 -0.389655\n0.75 0.159911\nName: 13058, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3633091849887547, std values: 1.1335130798296438, min values: -2.982771139679002, max values: 4.0, median values: 0.5796003820261586, and quantile values: 0.25 -0.284443\n0.50 0.579600\n0.75 1.225896\nName: 13059, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2310160274206316, std values: 0.8164693854104577, min values: -2.3449951976937924, max values: 3.0876051304901218, median values: -0.3198766567783676, and quantile values: 0.25 -0.856827\n0.50 -0.319877\n0.75 0.279285\nName: 13060, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.267250077854274, std values: 0.7582069044136445, min values: -1.989871054037948, max values: 5.0, median values: 0.2206809683064916, and quantile values: 0.25 -0.221190\n0.50 0.220681\n0.75 0.770984\nName: 13061, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19582782837437526, std values: 0.8110403438314985, min values: -2.5213149333948146, max values: 3.627976272701048, median values: 0.179160765253585, and quantile values: 0.25 -0.316968\n0.50 0.179161\n0.75 0.712600\nName: 13062, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18446125982163833, std values: 0.8305285493226852, min values: -2.688157591415518, max values: 5.0, median values: 0.1392746315532581, and quantile values: 0.25 -0.345832\n0.50 0.139275\n0.75 0.716192\nName: 13063, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4779089081351198, std values: 0.9224685343716149, min values: -2.87684958111886, max values: 3.5581019918925243, median values: 0.4679261555095407, and quantile values: 0.25 -0.088931\n0.50 0.467926\n0.75 1.103707\nName: 13064, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.013798717156957803, std values: 0.7993325259741252, min values: -2.133376301904917, max values: 4.0, median values: 0.0486536153128405, and quantile values: 0.25 -0.515542\n0.50 0.048654\n0.75 0.504533\nName: 13065, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45644487960828883, std values: 1.0887669866402956, min values: -2.5682675825126706, max values: 5.0, median values: -0.590596553249654, and quantile values: 0.25 -1.390413\n0.50 -0.590597\n0.75 0.278007\nName: 13066, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07463173292788519, std values: 0.7774412705369077, min values: -2.076505579007744, max values: 4.0, median values: 0.0102102833299182, and quantile values: 0.25 -0.467465\n0.50 0.010210\n0.75 0.561904\nName: 13067, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.051752803273540544, std values: 1.0623553534941734, min values: -2.5820330744015787, max values: 4.0, median values: -0.0231638857004527, and quantile values: 0.25 -0.755067\n0.50 -0.023164\n0.75 0.809865\nName: 13068, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30183524197312767, std values: 1.0333372174133784, min values: -2.57895707818966, max values: 6.0, median values: 0.4132280321709146, and quantile values: 0.25 -0.436691\n0.50 0.413228\n0.75 1.066032\nName: 13069, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32429921068455053, std values: 0.9861150790804118, min values: -2.6117120822772133, max values: 5.0, median values: 0.4441907041038407, and quantile values: 0.25 -0.208261\n0.50 0.444191\n0.75 0.965737\nName: 13070, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2269403708321377, std values: 0.8254838650419261, min values: -2.0102034291104567, max values: 5.0, median values: -0.324831340543799, and quantile values: 0.25 -0.835008\n0.50 -0.324831\n0.75 0.278253\nName: 13071, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3896979817841359, std values: 1.0404404428159186, min values: -2.748993280390358, max values: 3.260388056018088, median values: 0.2928764045584737, and quantile values: 0.25 -0.381182\n0.50 0.292876\n0.75 1.120779\nName: 13072, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15424634270941331, std values: 0.7257407491523519, min values: -1.9749387048858984, max values: 6.0, median values: 0.1341042368108622, and quantile values: 0.25 -0.307692\n0.50 0.134104\n0.75 0.612974\nName: 13073, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.035820159157206516, std values: 0.755375913659916, min values: -2.156806272086999, max values: 3.0774992973297404, median values: 0.0746597981555432, and quantile values: 0.25 -0.487993\n0.50 0.074660\n0.75 0.557627\nName: 13074, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2003310018744189, std values: 1.0086753329859353, min values: -3.1070421433302986, max values: 4.026668017837955, median values: 0.1920462566021285, and quantile values: 0.25 -0.389583\n0.50 0.192046\n0.75 0.868092\nName: 13075, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4196346458777768, std values: 0.9516667916007557, min values: -2.5544460869462697, max values: 4.0, median values: -0.4884273145504302, and quantile values: 0.25 -1.235066\n0.50 -0.488427\n0.75 0.243894\nName: 13076, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19512905732520577, std values: 0.9652612615308862, min values: -2.841647375415054, max values: 5.0, median values: 0.1750484937019232, and quantile values: 0.25 -0.400033\n0.50 0.175048\n0.75 0.820642\nName: 13077, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.012426118804314963, std values: 0.8477740707327053, min values: -2.641174291463747, max values: 6.0, median values: -0.0111536530443813, and quantile values: 0.25 -0.478525\n0.50 -0.011154\n0.75 0.552746\nName: 13078, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27573922119741084, std values: 0.8830377893367988, min values: -3.28024538647024, max values: 2.9014037851367123, median values: 0.3555589535643389, and quantile values: 0.25 -0.236596\n0.50 0.355559\n0.75 0.836600\nName: 13079, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.039315684888279835, std values: 0.9739960525339518, min values: -2.8531572940820533, max values: 6.0, median values: 0.0268265082398847, and quantile values: 0.25 -0.604299\n0.50 0.026827\n0.75 0.708418\nName: 13080, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16933023890660504, std values: 0.9218323906856879, min values: -2.8834699678265463, max values: 5.0, median values: -0.2071151017437862, and quantile values: 0.25 -0.827979\n0.50 -0.207115\n0.75 0.441722\nName: 13081, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27340502655763504, std values: 1.0348500908647982, min values: -2.1002547423964093, max values: 5.0, median values: 0.289301090651903, and quantile values: 0.25 -0.585180\n0.50 0.289301\n0.75 1.083523\nName: 13082, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.005668582386807264, std values: 0.8854789648547183, min values: -2.057713263041302, max values: 5.0, median values: -0.0934113218530971, and quantile values: 0.25 -0.603284\n0.50 -0.093411\n0.75 0.572599\nName: 13083, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39152371938986746, std values: 0.7821996004567642, min values: -2.283674234927737, max values: 6.0, median values: -0.3992397646714182, and quantile values: 0.25 -0.960851\n0.50 -0.399240\n0.75 0.121210\nName: 13084, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1125143162413372, std values: 0.7968123948531568, min values: -2.73836943861057, max values: 3.8226908388056136, median values: 0.1475940501617544, and quantile values: 0.25 -0.425174\n0.50 0.147594\n0.75 0.637031\nName: 13085, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.030304583634632096, std values: 0.9408858054554055, min values: -2.623568901859613, max values: 4.0, median values: 0.0544169880418972, and quantile values: 0.25 -0.702061\n0.50 0.054417\n0.75 0.675943\nName: 13086, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15584062239669846, std values: 0.8324719426329998, min values: -2.7542003929097176, max values: 5.0, median values: -0.1566257607422863, and quantile values: 0.25 -0.698708\n0.50 -0.156626\n0.75 0.365522\nName: 13087, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10598123028089275, std values: 0.9052815960344864, min values: -2.673124659932621, max values: 6.0, median values: -0.1543053403216453, and quantile values: 0.25 -0.657657\n0.50 -0.154305\n0.75 0.453758\nName: 13088, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07420159895931391, std values: 0.8644684035825377, min values: -2.5825978442440407, max values: 6.0, median values: 0.0115811660672634, and quantile values: 0.25 -0.571605\n0.50 0.011581\n0.75 0.665659\nName: 13089, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2070318775311931, std values: 1.0880519230866534, min values: -2.622709665346679, max values: 3.477886732511886, median values: 0.3535353904812508, and quantile values: 0.25 -0.468821\n0.50 0.353535\n0.75 1.040069\nName: 13090, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4044556478838076, std values: 0.8990607696601093, min values: -2.1029383687967336, max values: 4.0, median values: 0.4317042701175658, and quantile values: 0.25 -0.220972\n0.50 0.431704\n0.75 1.045523\nName: 13091, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08625205899107716, std values: 0.8931323882798539, min values: -2.3333312203517527, max values: 3.362228250221886, median values: -0.1850212181454693, and quantile values: 0.25 -0.748819\n0.50 -0.185021\n0.75 0.509449\nName: 13092, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2364036606638137, std values: 1.0154387867479762, min values: -2.041514276272496, max values: 4.278004674434932, median values: 0.1876665462041793, and quantile values: 0.25 -0.515259\n0.50 0.187667\n0.75 0.972769\nName: 13093, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0797877879782478, std values: 0.8148157293064926, min values: -2.506827530467421, max values: 4.0, median values: 0.0295710742513664, and quantile values: 0.25 -0.446905\n0.50 0.029571\n0.75 0.595528\nName: 13094, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3579188594825423, std values: 0.8141921145144627, min values: -2.580492024304656, max values: 3.2696814875916886, median values: 0.4570878365046169, and quantile values: 0.25 -0.190530\n0.50 0.457088\n0.75 0.956051\nName: 13095, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.8685094717027628, std values: 1.0693629250374896, min values: -3.05087304133376, max values: 5.0, median values: -2.10781213968935, and quantile values: 0.25 -2.371618\n0.50 -2.107812\n0.75 -1.849834\nName: 13096, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32361477199186334, std values: 0.8908342302218396, min values: -2.605844844843939, max values: 4.0, median values: -0.2773380504832981, and quantile values: 0.25 -0.921326\n0.50 -0.277338\n0.75 0.244172\nName: 13097, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4664152283791955, std values: 0.827565053152896, min values: -2.1136270387555465, max values: 2.7858057493199664, median values: -0.594947285814189, and quantile values: 0.25 -1.131057\n0.50 -0.594947\n0.75 0.044518\nName: 13098, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.308846990124459, std values: 0.7604971999599518, min values: -2.3893642989164, max values: 3.071284484560209, median values: 0.3084715079637553, and quantile values: 0.25 -0.152320\n0.50 0.308472\n0.75 0.768466\nName: 13099, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0579812645545894, std values: 1.2632915625181675, min values: -2.727901130262228, max values: 4.0, median values: -1.6207345438050902, and quantile values: 0.25 -2.140406\n0.50 -1.620735\n0.75 -0.006196\nName: 13100, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.335445072324204, std values: 0.7792257864268718, min values: -2.5039074859839925, max values: 4.0, median values: 0.3350966413884842, and quantile values: 0.25 -0.176391\n0.50 0.335097\n0.75 0.844883\nName: 13101, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15519995921338056, std values: 0.7463529426706994, min values: -2.212004168819108, max values: 3.0, median values: -0.1638556238210435, and quantile values: 0.25 -0.657131\n0.50 -0.163856\n0.75 0.323467\nName: 13102, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08427350131888553, std values: 0.9079815761019245, min values: -2.73836943861057, max values: 3.867701659180865, median values: 0.1143440525090516, and quantile values: 0.25 -0.436613\n0.50 0.114344\n0.75 0.666972\nName: 13103, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5149409759479104, std values: 1.0237608198353787, min values: -2.73836943861057, max values: 3.0932086550988465, median values: -0.6603130529241168, and quantile values: 0.25 -1.257084\n0.50 -0.660313\n0.75 0.060982\nName: 13104, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09119829208071953, std values: 0.9393683954786396, min values: -2.6820581866633817, max values: 3.0, median values: 0.0346789448729424, and quantile values: 0.25 -0.671392\n0.50 0.034679\n0.75 0.586586\nName: 13105, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3822673035905153, std values: 0.8069841673472739, min values: -2.111380524687595, max values: 3.0, median values: 0.4423133660601731, and quantile values: 0.25 -0.130104\n0.50 0.442313\n0.75 0.887116\nName: 13106, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3158819892262477, std values: 1.0256838881094363, min values: -2.8350118695332047, max values: 5.0, median values: 0.4268062538031182, and quantile values: 0.25 -0.322336\n0.50 0.426806\n0.75 1.036179\nName: 13107, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12412037673251144, std values: 0.8888482528238101, min values: -2.607565022042742, max values: 4.0, median values: -0.0206343865827707, and quantile values: 0.25 -0.707498\n0.50 -0.020634\n0.75 0.443089\nName: 13108, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4453796344887686, std values: 0.9529802365381893, min values: -2.8246479422601736, max values: 6.0, median values: 0.4814577979906568, and quantile values: 0.25 -0.056817\n0.50 0.481458\n0.75 1.084528\nName: 13109, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0944071669851138, std values: 0.8261602423640249, min values: -1.9423194494824505, max values: 5.0, median values: -0.209433762930155, and quantile values: 0.25 -0.662124\n0.50 -0.209434\n0.75 0.409101\nName: 13110, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04541743508585779, std values: 0.7786470031910748, min values: -2.1719217067124954, max values: 5.0, median values: 0.0634104280435359, and quantile values: 0.25 -0.481118\n0.50 0.063410\n0.75 0.540698\nName: 13111, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2354423329600892, std values: 1.1155515873708475, min values: -3.0960472541202715, max values: 6.0, median values: -0.1135679286897248, and quantile values: 0.25 -0.934266\n0.50 -0.113568\n0.75 0.553154\nName: 13112, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8056876512664037, std values: 0.9458712652370777, min values: -2.02241615711966, max values: 4.0, median values: 0.896502175794454, and quantile values: 0.25 0.149595\n0.50 0.896502\n0.75 1.534277\nName: 13113, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17931984972534634, std values: 0.8700603277549664, min values: -2.842989614395848, max values: 5.0, median values: -0.1273269783590199, and quantile values: 0.25 -0.723506\n0.50 -0.127327\n0.75 0.361520\nName: 13114, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08298917454689864, std values: 0.9858815533367372, min values: -2.815821936576896, max values: 3.224152805256112, median values: -0.0397164064289502, and quantile values: 0.25 -0.586193\n0.50 -0.039716\n0.75 0.538514\nName: 13115, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10978257964666735, std values: 0.9647068279776178, min values: -2.8663054413554843, max values: 6.0, median values: 0.2679739377245709, and quantile values: 0.25 -0.367878\n0.50 0.267974\n0.75 0.696477\nName: 13116, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4803488110797682, std values: 0.9451610065457084, min values: -2.6320986139293034, max values: 3.670892362631932, median values: -0.6010681395332521, and quantile values: 0.25 -1.125970\n0.50 -0.601068\n0.75 0.084665\nName: 13117, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18201058408646015, std values: 0.9494228883608608, min values: -2.5953860446419177, max values: 3.281452258958016, median values: -0.32361226986011, and quantile values: 0.25 -0.926505\n0.50 -0.323612\n0.75 0.495128\nName: 13118, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4739874360563489, std values: 0.8845548097524184, min values: -2.8843374390620142, max values: 6.0, median values: 0.5455317837206605, and quantile values: 0.25 -0.161844\n0.50 0.545532\n0.75 1.173102\nName: 13119, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3252017319996084, std values: 1.1246107211201966, min values: -3.2119459948042475, max values: 3.124705982383484, median values: 0.4407501079108719, and quantile values: 0.25 -0.398318\n0.50 0.440750\n0.75 1.194341\nName: 13120, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0257540254985041, std values: 0.7606304252523688, min values: -2.0688202952550605, max values: 5.0, median values: -0.0314550818028724, and quantile values: 0.25 -0.475982\n0.50 -0.031455\n0.75 0.493339\nName: 13121, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06980782046741264, std values: 0.8605073389036488, min values: -2.2896931241918383, max values: 3.241738645014612, median values: -0.1798064831346723, and quantile values: 0.25 -0.661307\n0.50 -0.179806\n0.75 0.474977\nName: 13122, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07599658443606336, std values: 0.9560433427899937, min values: -2.6660404517971856, max values: 4.0, median values: 0.1196866533968465, and quantile values: 0.25 -0.524167\n0.50 0.119687\n0.75 0.698165\nName: 13123, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.045142013131813714, std values: 0.7851251120279029, min values: -2.245752867605861, max values: 3.0533207538164056, median values: 0.0615357943647496, and quantile values: 0.25 -0.462578\n0.50 0.061536\n0.75 0.524306\nName: 13124, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07418252129690107, std values: 0.7653412038194742, min values: -2.146424125626329, max values: 5.0, median values: 0.096288323784746, and quantile values: 0.25 -0.417144\n0.50 0.096288\n0.75 0.560550\nName: 13125, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47309297662557437, std values: 1.096233759136048, min values: -2.579952672199424, max values: 6.0, median values: 0.3892981668908678, and quantile values: 0.25 -0.378845\n0.50 0.389298\n0.75 1.374658\nName: 13126, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36727275858383196, std values: 1.477874003617718, min values: -2.72346435408924, max values: 4.0, median values: 0.394738500515216, and quantile values: 0.25 -0.701497\n0.50 0.394739\n0.75 1.354190\nName: 13127, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1292164019962548, std values: 0.9602618774055189, min values: -2.6635706018350787, max values: 3.2266531185902125, median values: -0.0751338158952903, and quantile values: 0.25 -0.765737\n0.50 -0.075134\n0.75 0.466268\nName: 13128, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04653099531690475, std values: 1.2268090903957831, min values: -2.6668673616981367, max values: 4.0, median values: 0.2028885435531542, and quantile values: 0.25 -0.790724\n0.50 0.202889\n0.75 0.935677\nName: 13129, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.024259717764696067, std values: 0.8221585990348567, min values: -2.564449278715455, max values: 3.258347009006034, median values: -0.0669592843457687, and quantile values: 0.25 -0.511816\n0.50 -0.066959\n0.75 0.487745\nName: 13130, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4449186384815108, std values: 0.8477823757383709, min values: -2.58513369695146, max values: 4.0, median values: -0.4941445020196051, and quantile values: 0.25 -0.986979\n0.50 -0.494145\n0.75 -0.001267\nName: 13131, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.028118958248114653, std values: 0.9018549718468601, min values: -2.5825978442440407, max values: 6.0, median values: 0.0418452817381128, and quantile values: 0.25 -0.602855\n0.50 0.041845\n0.75 0.617973\nName: 13132, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04373194136680139, std values: 0.816549772066527, min values: -2.142854198138545, max values: 5.0, median values: 0.0592165737331267, and quantile values: 0.25 -0.489452\n0.50 0.059217\n0.75 0.570471\nName: 13133, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2799493525817209, std values: 0.8194847074300026, min values: -2.783691185534105, max values: 2.876849581118866, median values: 0.2441723491063366, and quantile values: 0.25 -0.240633\n0.50 0.244172\n0.75 0.806848\nName: 13134, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10622013892083232, std values: 0.8216832248748694, min values: -2.0820482765430324, max values: 3.215720519334646, median values: 0.0063813595155147, and quantile values: 0.25 -0.494674\n0.50 0.006381\n0.75 0.654843\nName: 13135, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3340930541970365, std values: 0.9028911349454899, min values: -2.3771558481240653, max values: 4.0, median values: 0.4136656693451569, and quantile values: 0.25 -0.320712\n0.50 0.413666\n0.75 1.021772\nName: 13136, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08986137893474996, std values: 0.8774661272515905, min values: -2.161181455793125, max values: 6.0, median values: -0.1440526431868611, and quantile values: 0.25 -0.765642\n0.50 -0.144053\n0.75 0.493579\nName: 13137, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2550353537117067, std values: 0.9064599450169267, min values: -2.632854336056873, max values: 4.026668017837955, median values: -0.1961462267435008, and quantile values: 0.25 -0.918619\n0.50 -0.196146\n0.75 0.414587\nName: 13138, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26580204317950074, std values: 0.9741356236663479, min values: -2.7871422803648627, max values: 3.415255285860171, median values: -0.3446374438704258, and quantile values: 0.25 -0.928031\n0.50 -0.344637\n0.75 0.342948\nName: 13139, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05158773300245645, std values: 0.9590598820341982, min values: -2.8531572940820533, max values: 3.0, median values: -0.0999510508025356, and quantile values: 0.25 -0.640712\n0.50 -0.099951\n0.75 0.530985\nName: 13140, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.705937270822321, std values: 0.9105538937543693, min values: -2.4564928597243227, max values: 4.0, median values: -0.9100756249363212, and quantile values: 0.25 -1.406151\n0.50 -0.910076\n0.75 -0.173757\nName: 13141, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43212708842882247, std values: 1.0429342798397905, min values: -2.657870006553045, max values: 3.8226908388056136, median values: 0.5151862153389177, and quantile values: 0.25 -0.251044\n0.50 0.515186\n0.75 1.216147\nName: 13142, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3372529654043803, std values: 0.857871857179857, min values: -2.64479559868397, max values: 6.0, median values: -0.405690074317563, and quantile values: 0.25 -0.873363\n0.50 -0.405690\n0.75 0.186974\nName: 13143, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0676001790525268, std values: 0.7923141480548989, min values: -2.564449278715455, max values: 3.1175233493066874, median values: 0.006121374885662, and quantile values: 0.25 -0.488540\n0.50 0.006121\n0.75 0.593699\nName: 13144, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12748938608203766, std values: 0.913849150512761, min values: -2.580492024304656, max values: 3.9048392686725855, median values: -0.1554498202299484, and quantile values: 0.25 -0.717864\n0.50 -0.155450\n0.75 0.408419\nName: 13145, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.008183145451817383, std values: 0.7787926979820987, min values: -2.537573835824454, max values: 6.0, median values: -0.033898370385222, and quantile values: 0.25 -0.503911\n0.50 -0.033898\n0.75 0.451703\nName: 13146, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1410001532110813, std values: 0.7756208240199715, min values: -2.4737574649270093, max values: 3.528773265847577, median values: -0.2347977368020615, and quantile values: 0.25 -0.666220\n0.50 -0.234798\n0.75 0.329693\nName: 13147, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22953830992959, std values: 0.7985224223958858, min values: -2.5961021427111413, max values: 3.0, median values: -0.2700323824944974, and quantile values: 0.25 -0.747143\n0.50 -0.270032\n0.75 0.243480\nName: 13148, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4156421990365937, std values: 0.8261723772908518, min values: -2.300042081328127, max values: 4.0, median values: 0.4229779117157589, and quantile values: 0.25 -0.141639\n0.50 0.422978\n0.75 0.959231\nName: 13149, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06122227979613358, std values: 0.9685820056254855, min values: -2.960014365184806, max values: 6.0, median values: 0.1398031128503375, and quantile values: 0.25 -0.598013\n0.50 0.139803\n0.75 0.739323\nName: 13150, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4457714259445577, std values: 1.1096942208296308, min values: -2.6270253558526173, max values: 4.0, median values: -0.3685263870309802, and quantile values: 0.25 -1.360300\n0.50 -0.368526\n0.75 0.377652\nName: 13151, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11325378255938272, std values: 0.9436076999049374, min values: -2.643887016977268, max values: 6.0, median values: -0.1639035318512969, and quantile values: 0.25 -0.733056\n0.50 -0.163904\n0.75 0.479140\nName: 13152, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12721902236135924, std values: 0.8289663360992171, min values: -2.0893298172807167, max values: 5.0, median values: -0.1470372547957019, and quantile values: 0.25 -0.700700\n0.50 -0.147037\n0.75 0.389379\nName: 13153, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11008104549571901, std values: 1.0004899853919966, min values: -2.93129584560762, max values: 6.0, median values: 0.2418978664178251, and quantile values: 0.25 -0.372331\n0.50 0.241898\n0.75 0.761013\nName: 13154, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5431847679222346, std values: 0.8764413719340167, min values: -2.560041333834972, max values: 2.9666813816765742, median values: -0.64015347246036, and quantile values: 0.25 -1.276080\n0.50 -0.640153\n0.75 0.040260\nName: 13155, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7311828137752904, std values: 1.0345603223215063, min values: -2.6466193392086392, max values: 4.0, median values: -0.8751788512811468, and quantile values: 0.25 -1.608861\n0.50 -0.875179\n0.75 0.014266\nName: 13156, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28366528341943315, std values: 0.8387149799141823, min values: -2.620939317041317, max values: 4.0, median values: 0.3479124236670528, and quantile values: 0.25 -0.284769\n0.50 0.347912\n0.75 0.874896\nName: 13157, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6557321411195894, std values: 1.1642990939473252, min values: -2.841647375415054, max values: 5.0, median values: 0.720107170442257, and quantile values: 0.25 -0.125578\n0.50 0.720107\n0.75 1.628251\nName: 13158, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07736820862981894, std values: 0.7418561628787165, min values: -2.72346435408924, max values: 4.0, median values: 0.0193342291479509, and quantile values: 0.25 -0.386066\n0.50 0.019334\n0.75 0.507967\nName: 13159, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2839832231308416, std values: 0.8183258900605991, min values: -2.115173867494283, max values: 5.0, median values: -0.2982093553534829, and quantile values: 0.25 -0.859295\n0.50 -0.298209\n0.75 0.210134\nName: 13160, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19590883900420983, std values: 0.8559220159866242, min values: -2.219779328182016, max values: 5.0, median values: -0.305324976284499, and quantile values: 0.25 -0.790520\n0.50 -0.305325\n0.75 0.330410\nName: 13161, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3371346633663406, std values: 0.8789112328917988, min values: -2.0669513462950864, max values: 3.438667023696733, median values: 0.260121077207313, and quantile values: 0.25 -0.251442\n0.50 0.260121\n0.75 0.870624\nName: 13162, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10581538064396628, std values: 0.7314354207033753, min values: -2.033934758806792, max values: 5.0, median values: -0.1397751877721669, and quantile values: 0.25 -0.606172\n0.50 -0.139775\n0.75 0.307315\nName: 13163, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.005629542760797479, std values: 0.7604940857942616, min values: -1.9951051135522864, max values: 3.379902545505621, median values: -0.0474995749281057, and quantile values: 0.25 -0.534472\n0.50 -0.047500\n0.75 0.494518\nName: 13164, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37030706519603185, std values: 0.9111418183236901, min values: -3.101800431129944, max values: 6.0, median values: 0.4789545036521498, and quantile values: 0.25 -0.106770\n0.50 0.478955\n0.75 0.953922\nName: 13165, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1174007973755759, std values: 0.923737315627695, min values: -2.6635706018350787, max values: 3.2936960268109283, median values: -0.1812478503148635, and quantile values: 0.25 -0.662241\n0.50 -0.181248\n0.75 0.458741\nName: 13166, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22415557622665241, std values: 0.8159550368480146, min values: -2.106402139749333, max values: 5.0, median values: 0.241557173639097, and quantile values: 0.25 -0.351425\n0.50 0.241557\n0.75 0.789729\nName: 13167, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.011743730937535288, std values: 0.7942113338889125, min values: -2.7648443048846945, max values: 3.176672644814091, median values: -0.087535693989665, and quantile values: 0.25 -0.553346\n0.50 -0.087536\n0.75 0.486677\nName: 13168, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20173695039762235, std values: 0.8834978258529376, min values: -2.15645541897611, max values: 3.0, median values: -0.3073395626965246, and quantile values: 0.25 -0.841543\n0.50 -0.307340\n0.75 0.386525\nName: 13169, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3330965261429751, std values: 0.9808173327832207, min values: -2.082109659827605, max values: 6.0, median values: 0.2912167933697605, and quantile values: 0.25 -0.446494\n0.50 0.291217\n0.75 1.158923\nName: 13170, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05550025050709754, std values: 0.8458587225359662, min values: -2.475778245535816, max values: 4.026668017837955, median values: -0.0199252056164642, and quantile values: 0.25 -0.555309\n0.50 -0.019925\n0.75 0.627815\nName: 13171, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11928893415330148, std values: 0.996061494217885, min values: -2.5743883495350026, max values: 5.0, median values: 0.198936142584764, and quantile values: 0.25 -0.428101\n0.50 0.198936\n0.75 0.779563\nName: 13172, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4588429814033731, std values: 1.0323719545838674, min values: -2.240740315114864, max values: 4.0, median values: 0.5367324640745161, and quantile values: 0.25 -0.251670\n0.50 0.536732\n0.75 1.235411\nName: 13173, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21493767873484068, std values: 1.1357628730099332, min values: -2.623568901859613, max values: 4.0, median values: 0.3107606640467225, and quantile values: 0.25 -0.624106\n0.50 0.310761\n0.75 1.140161\nName: 13174, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.605096027766493, std values: 1.0814167575098717, min values: -3.530441124712342, max values: 3.9048392686725855, median values: -1.8421394732807508, and quantile values: 0.25 -2.065608\n0.50 -1.842139\n0.75 -1.672424\nName: 13175, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.020477635460185488, std values: 0.7446519665637935, min values: -2.7648443048846945, max values: 3.06352184701832, median values: 0.0457250601564876, and quantile values: 0.25 -0.467186\n0.50 0.045725\n0.75 0.475083\nName: 13176, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3940508051345952, std values: 0.9366602010257247, min values: -2.618746139350171, max values: 3.191712471143802, median values: 0.5209909083766917, and quantile values: 0.25 -0.284646\n0.50 0.520991\n0.75 1.121089\nName: 13177, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12113107870226104, std values: 0.9885149366244981, min values: -2.693453432157769, max values: 3.1801075704642923, median values: 0.0231075399026536, and quantile values: 0.25 -0.689222\n0.50 0.023108\n0.75 0.537992\nName: 13178, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.015548305750673532, std values: 0.8549615694490793, min values: -1.9681686702565264, max values: 3.306454397423372, median values: -0.1022108434215526, and quantile values: 0.25 -0.679289\n0.50 -0.102211\n0.75 0.558952\nName: 13179, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.006870338078940033, std values: 0.9433966184714045, min values: -3.0484008792629496, max values: 5.0, median values: 0.1476596193442866, and quantile values: 0.25 -0.538260\n0.50 0.147660\n0.75 0.611122\nName: 13180, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4005834519032239, std values: 1.2414664417053338, min values: -2.933035609461076, max values: 5.0, median values: 0.692626454290411, and quantile values: 0.25 -0.256562\n0.50 0.692626\n0.75 1.272279\nName: 13181, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20423565092731522, std values: 0.8132826609916236, min values: -2.558791007225312, max values: 3.0, median values: 0.2915444732462395, and quantile values: 0.25 -0.236110\n0.50 0.291544\n0.75 0.744561\nName: 13182, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0408808762573799, std values: 1.178893648691307, min values: -2.5695487141177, max values: 4.0, median values: 0.0604028842045168, and quantile values: 0.25 -0.839857\n0.50 0.060403\n0.75 0.925739\nName: 13183, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16163889957729188, std values: 0.8135435248104176, min values: -2.060926614662576, max values: 5.0, median values: -0.2475477541125296, and quantile values: 0.25 -0.708842\n0.50 -0.247548\n0.75 0.248913\nName: 13184, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46483478984972487, std values: 0.797851730499681, min values: -2.245752867605861, max values: 2.944950884974357, median values: -0.5792095115469859, and quantile values: 0.25 -1.038932\n0.50 -0.579210\n0.75 0.005956\nName: 13185, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34034149973169087, std values: 0.9375061480468759, min values: -2.618746139350171, max values: 3.4566816047670264, median values: 0.3849052383772919, and quantile values: 0.25 -0.359933\n0.50 0.384905\n0.75 1.103968\nName: 13186, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.029566228859248127, std values: 0.797864603310322, min values: -2.5879430435308, max values: 3.3636961113187773, median values: -0.0967310096177196, and quantile values: 0.25 -0.574103\n0.50 -0.096731\n0.75 0.483221\nName: 13187, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28735367087490404, std values: 0.9622391819418399, min values: -2.077731782356476, max values: 4.0, median values: -0.3339632549791878, and quantile values: 0.25 -1.085159\n0.50 -0.333963\n0.75 0.397755\nName: 13188, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07875255254037132, std values: 0.784295977168181, min values: -2.72346435408924, max values: 4.0, median values: -0.0870374750492436, and quantile values: 0.25 -0.604540\n0.50 -0.087037\n0.75 0.401698\nName: 13189, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15935602256218007, std values: 0.8418442379667989, min values: -3.215720519334632, max values: 3.0932086550988465, median values: -0.2339141381616555, and quantile values: 0.25 -0.715703\n0.50 -0.233914\n0.75 0.358204\nName: 13190, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37265720994658497, std values: 1.130603757999442, min values: -2.48707718869296, max values: 6.0, median values: 0.3094247288104805, and quantile values: 0.25 -0.427713\n0.50 0.309425\n0.75 1.125302\nName: 13191, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10482377137259029, std values: 1.1570810341643207, min values: -2.63315074164461, max values: 6.0, median values: 0.218882761096855, and quantile values: 0.25 -0.711253\n0.50 0.218883\n0.75 0.997107\nName: 13192, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7506559282314189, std values: 1.5534609033119715, min values: -2.837386543755612, max values: 5.0, median values: 0.7508031635773067, and quantile values: 0.25 -0.355282\n0.50 0.750803\n0.75 1.968781\nName: 13193, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18100913485604667, std values: 1.432291120439451, min values: -2.879968592907284, max values: 4.0, median values: 0.1321697998682422, and quantile values: 0.25 -1.706620\n0.50 0.132170\n0.75 0.809867\nName: 13194, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19783390291965866, std values: 0.7738982437621544, min values: -1.9942775479092616, max values: 4.0, median values: 0.1774050328360651, and quantile values: 0.25 -0.318832\n0.50 0.177405\n0.75 0.731543\nName: 13195, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10271405667092492, std values: 0.805274135071905, min values: -2.5759052915632985, max values: 3.0, median values: -0.1877387098302606, and quantile values: 0.25 -0.635461\n0.50 -0.187739\n0.75 0.399120\nName: 13196, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25504466203082066, std values: 1.0481905408435404, min values: -2.5859127503381347, max values: 3.8226908388056136, median values: 0.2909280136321969, and quantile values: 0.25 -0.395991\n0.50 0.290928\n0.75 0.889568\nName: 13197, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17574646243448716, std values: 0.9469633623340109, min values: -2.4176069991382847, max values: 6.0, median values: 0.2105210223196751, and quantile values: 0.25 -0.518292\n0.50 0.210521\n0.75 0.932524\nName: 13198, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15489659802047248, std values: 1.0048592540673937, min values: -2.799990485600992, max values: 5.0, median values: 0.2160629299912699, and quantile values: 0.25 -0.540298\n0.50 0.216063\n0.75 0.889363\nName: 13199, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2055067783026553, std values: 1.0596880853194828, min values: -2.3272615783994484, max values: 3.598076523509904, median values: 0.1586282546639285, and quantile values: 0.25 -0.599918\n0.50 0.158628\n0.75 0.892163\nName: 13200, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2807603666556577, std values: 0.9167843485052365, min values: -2.5743883495350026, max values: 5.0, median values: -0.2635912631832359, and quantile values: 0.25 -0.775329\n0.50 -0.263591\n0.75 0.278368\nName: 13201, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01867831683638446, std values: 1.0544222620087338, min values: -2.697026421440041, max values: 4.0, median values: 0.1353825976057113, and quantile values: 0.25 -0.539342\n0.50 0.135383\n0.75 0.686501\nName: 13202, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.2975069384896805, std values: 1.4482453823907133, min values: -3.0484008792629496, max values: 5.0, median values: -1.927830754909049, and quantile values: 0.25 -2.259683\n0.50 -1.927831\n0.75 -0.315899\nName: 13203, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2045367536287783, std values: 0.7332244790714636, min values: -2.476285024008804, max values: 4.243835016543704, median values: 0.2292377720961803, and quantile values: 0.25 -0.259694\n0.50 0.229238\n0.75 0.654741\nName: 13204, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41082185064486837, std values: 0.9863017878144995, min values: -2.6278943940336483, max values: 4.0, median values: -0.4843047110198539, and quantile values: 0.25 -1.117810\n0.50 -0.484305\n0.75 0.215668\nName: 13205, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11653202835592144, std values: 0.8660297106175792, min values: -2.429024008314812, max values: 5.0, median values: 0.1317981821896497, and quantile values: 0.25 -0.476803\n0.50 0.131798\n0.75 0.677713\nName: 13206, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7009762058717975, std values: 0.8303236121745208, min values: -2.63315074164461, max values: 6.0, median values: -0.7157276642495777, and quantile values: 0.25 -1.301077\n0.50 -0.715728\n0.75 -0.216977\nName: 13207, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2239473252481321, std values: 0.7983795706040901, min values: -2.5122218748354936, max values: 3.3636961113187773, median values: -0.2124545434171519, and quantile values: 0.25 -0.693314\n0.50 -0.212455\n0.75 0.243406\nName: 13208, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07536816203677842, std values: 0.9774314958677667, min values: -2.196708653609315, max values: 6.0, median values: 0.0813029164071887, and quantile values: 0.25 -0.649053\n0.50 0.081303\n0.75 0.759506\nName: 13209, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19807406628565885, std values: 1.0025733875914542, min values: -2.073524544085168, max values: 6.0, median values: 0.0982409904406478, and quantile values: 0.25 -0.572578\n0.50 0.098241\n0.75 0.897489\nName: 13210, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13066412054298177, std values: 0.7227887066402123, min values: -2.0688202952550605, max values: 5.0, median values: -0.1535639384157749, and quantile values: 0.25 -0.603505\n0.50 -0.153564\n0.75 0.286862\nName: 13211, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12384603153678393, std values: 0.9183942277931927, min values: -2.609385158408876, max values: 4.026668017837955, median values: 0.1308259602806742, and quantile values: 0.25 -0.437233\n0.50 0.130826\n0.75 0.711536\nName: 13212, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04014701990282815, std values: 0.9098405962170383, min values: -2.2889362156285724, max values: 3.236860296211547, median values: -0.1619478050149888, and quantile values: 0.25 -0.693349\n0.50 -0.161948\n0.75 0.552544\nName: 13213, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.174114050979335, std values: 0.9769363805957113, min values: -2.842989614395848, max values: 5.0, median values: -0.1751726021471985, and quantile values: 0.25 -0.734786\n0.50 -0.175173\n0.75 0.452082\nName: 13214, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18146337223320774, std values: 0.8175005702716686, min values: -2.475778245535816, max values: 4.0, median values: 0.2132039960174347, and quantile values: 0.25 -0.372302\n0.50 0.213204\n0.75 0.754505\nName: 13215, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18072804437744072, std values: 1.069622975498102, min values: -2.56026492390943, max values: 4.0, median values: 0.0333308217127239, and quantile values: 0.25 -0.517398\n0.50 0.033331\n0.75 0.774480\nName: 13216, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36543726521322467, std values: 0.9454708019728227, min values: -2.5695487141177, max values: 4.0, median values: -0.4686629609338834, and quantile values: 0.25 -1.009663\n0.50 -0.468663\n0.75 0.252083\nName: 13217, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09500649079991624, std values: 0.7269822962035432, min values: -2.6652153608723106, max values: 3.8226908388056136, median values: -0.1237740522566607, and quantile values: 0.25 -0.549747\n0.50 -0.123774\n0.75 0.305086\nName: 13218, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44713791011113396, std values: 0.7571137551833583, min values: -2.556631690482005, max values: 3.0089865423056903, median values: 0.4853888060433121, and quantile values: 0.25 -0.020078\n0.50 0.485389\n0.75 0.933206\nName: 13219, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03893264165275056, std values: 0.8062061241196407, min values: -2.226424194672579, max values: 4.0, median values: -0.0218679573475887, and quantile values: 0.25 -0.584004\n0.50 -0.021868\n0.75 0.462657\nName: 13220, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7358606428889994, std values: 1.090254252245183, min values: -2.7884838087481176, max values: 6.0, median values: 0.7305608592371728, and quantile values: 0.25 -0.047689\n0.50 0.730561\n0.75 1.620647\nName: 13221, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4486582197095252, std values: 0.776623369168438, min values: -2.6320986139293034, max values: 3.260388056018088, median values: -0.4445559237171845, and quantile values: 0.25 -1.035539\n0.50 -0.444556\n0.75 0.022384\nName: 13222, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39322160994013167, std values: 0.8007929849666053, min values: -2.137685238195388, max values: 4.0, median values: -0.4736013767098319, and quantile values: 0.25 -0.963559\n0.50 -0.473601\n0.75 0.069013\nName: 13223, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12722816845004395, std values: 0.8178718509910007, min values: -2.5759052915632985, max values: 3.319774799707247, median values: 0.1693675418838458, and quantile values: 0.25 -0.434092\n0.50 0.169368\n0.75 0.651275\nName: 13224, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4868518851190851, std values: 0.9766532022377675, min values: -2.92272757463548, max values: 6.0, median values: -0.4710009183399435, and quantile values: 0.25 -1.009068\n0.50 -0.471001\n0.75 0.138274\nName: 13225, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2911066607311789, std values: 0.9060106596411777, min values: -2.7211321814067784, max values: 3.224152805256112, median values: -0.2883647249424172, and quantile values: 0.25 -0.909128\n0.50 -0.288365\n0.75 0.293689\nName: 13226, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21537284644603796, std values: 0.8733679430123819, min values: -2.521882829270847, max values: 4.0, median values: 0.2763619499057878, and quantile values: 0.25 -0.276651\n0.50 0.276362\n0.75 0.790466\nName: 13227, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04170882101717029, std values: 0.9305258002501245, min values: -2.083073092108871, max values: 3.017846660960028, median values: -0.1735168471842365, and quantile values: 0.25 -0.751587\n0.50 -0.173517\n0.75 0.607877\nName: 13228, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11417666450826304, std values: 0.7710220261266358, min values: -2.437530694723507, max values: 4.0, median values: 0.1218871984241126, and quantile values: 0.25 -0.354356\n0.50 0.121887\n0.75 0.572448\nName: 13229, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09271953370398026, std values: 1.0125888237494822, min values: -2.532830540344162, max values: 3.5021977227593246, median values: 0.1039827514678472, and quantile values: 0.25 -0.710472\n0.50 0.103983\n0.75 0.887402\nName: 13230, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.028333361812438475, std values: 0.8650317248482818, min values: -2.374446373878101, max values: 4.0, median values: 0.1225912982691386, and quantile values: 0.25 -0.616429\n0.50 0.122591\n0.75 0.662095\nName: 13231, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3617816912769854, std values: 0.9266300756891389, min values: -2.5201815750705507, max values: 4.0, median values: -0.4783393660004725, and quantile values: 0.25 -1.010673\n0.50 -0.478339\n0.75 0.223539\nName: 13232, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07555487520569695, std values: 1.008421972940785, min values: -2.63315074164461, max values: 6.0, median values: -0.0774352472595554, and quantile values: 0.25 -0.703789\n0.50 -0.077435\n0.75 0.616152\nName: 13233, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20457731411858032, std values: 0.8753365620405381, min values: -2.439930808627264, max values: 4.0, median values: 0.266764321638861, and quantile values: 0.25 -0.400084\n0.50 0.266764\n0.75 0.799093\nName: 13234, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.57415471190716, std values: 1.2250604496096855, min values: -2.981718296512785, max values: 5.0, median values: 0.4260556145222876, and quantile values: 0.25 -0.375373\n0.50 0.426056\n0.75 1.543435\nName: 13235, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3833470811622366, std values: 1.0494672058721697, min values: -2.8834699678265463, max values: 5.0, median values: -0.4929654518929319, and quantile values: 0.25 -1.103047\n0.50 -0.492965\n0.75 0.256875\nName: 13236, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3814595088168274, std values: 0.9408890988861297, min values: -2.558791007225312, max values: 3.667275230673496, median values: 0.4429063928521737, and quantile values: 0.25 -0.182940\n0.50 0.442906\n0.75 0.992997\nName: 13237, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7286709051420568, std values: 1.1390214870701227, min values: -3.101800431129944, max values: 6.0, median values: -0.4544919068650349, and quantile values: 0.25 -1.860298\n0.50 -0.454492\n0.75 0.060920\nName: 13238, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15096919894794045, std values: 1.0144315446122443, min values: -2.0847399585846818, max values: 3.709787027503053, median values: -0.3359631193625148, and quantile values: 0.25 -0.954346\n0.50 -0.335963\n0.75 0.525886\nName: 13239, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2028422965682599, std values: 1.165255352970734, min values: -3.242093130849769, max values: 4.243835016543704, median values: -0.1549272266655601, and quantile values: 0.25 -1.130013\n0.50 -0.154927\n0.75 0.665512\nName: 13240, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3261937749387651, std values: 0.8958143086950379, min values: -2.684072796644972, max values: 6.0, median values: -0.4129969106597157, and quantile values: 0.25 -0.954183\n0.50 -0.412997\n0.75 0.233607\nName: 13241, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1983877893320901, std values: 0.7388286458987587, min values: -2.156806272086999, max values: 4.278004674434932, median values: 0.2589817678571325, and quantile values: 0.25 -0.298975\n0.50 0.258982\n0.75 0.714341\nName: 13242, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29004751256200506, std values: 0.952961409071404, min values: -2.26039143358266, max values: 5.0, median values: -0.397601663478948, and quantile values: 0.25 -1.003578\n0.50 -0.397602\n0.75 0.293286\nName: 13243, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49016947562666585, std values: 1.0116497116812098, min values: -2.825926939679757, max values: 3.2936960268109283, median values: -0.4297605826690075, and quantile values: 0.25 -1.039094\n0.50 -0.429761\n0.75 0.146620\nName: 13244, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03804857956407516, std values: 0.8438386417506907, min values: -2.2915911556076085, max values: 3.4758930087721422, median values: -0.0233530128842348, and quantile values: 0.25 -0.537337\n0.50 -0.023353\n0.75 0.535726\nName: 13245, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.279406614490765, std values: 1.045451387531736, min values: -2.64479559868397, max values: 6.0, median values: 0.2000219496817014, and quantile values: 0.25 -0.419905\n0.50 0.200022\n0.75 1.039500\nName: 13246, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.005149098771800327, std values: 0.7523799848601597, min values: -2.0331762695652107, max values: 6.0, median values: -0.0109429939660408, and quantile values: 0.25 -0.507886\n0.50 -0.010943\n0.75 0.472914\nName: 13247, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4258776580082032, std values: 0.9257403140984979, min values: -2.608390851963037, max values: 5.0, median values: -0.4961705517266271, and quantile values: 0.25 -1.025244\n0.50 -0.496171\n0.75 0.187979\nName: 13248, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1790447904831777, std values: 0.9087755046717475, min values: -2.7510671817729784, max values: 6.0, median values: -0.2011178049250992, and quantile values: 0.25 -0.789239\n0.50 -0.201118\n0.75 0.390962\nName: 13249, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09214090349689269, std values: 0.914223599028198, min values: -2.879968592907284, max values: 4.0, median values: 0.1221626796486288, and quantile values: 0.25 -0.407724\n0.50 0.122163\n0.75 0.627355\nName: 13250, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24397501629107904, std values: 0.8982131394844799, min values: -2.732564679617164, max values: 3.197902420311553, median values: -0.343527131061017, and quantile values: 0.25 -0.847246\n0.50 -0.343527\n0.75 0.325603\nName: 13251, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30695895812377894, std values: 0.9589947334494732, min values: -2.5743883495350026, max values: 5.0, median values: 0.4200590916335818, and quantile values: 0.25 -0.193491\n0.50 0.420059\n0.75 0.911420\nName: 13252, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5696364078366096, std values: 1.0417917729280108, min values: -2.825926939679757, max values: 3.0, median values: -0.5985340742557903, and quantile values: 0.25 -1.277368\n0.50 -0.598534\n0.75 0.136439\nName: 13253, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6697492916652299, std values: 0.8556576382733669, min values: -2.170177418849181, max values: 3.5908526919299577, median values: -0.846221596218823, and quantile values: 0.25 -1.319793\n0.50 -0.846222\n0.75 -0.201782\nName: 13254, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3039541946117041, std values: 0.773727467891147, min values: -2.070696498607387, max values: 6.0, median values: 0.3238734587471147, and quantile values: 0.25 -0.181120\n0.50 0.323873\n0.75 0.779576\nName: 13255, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03562362178017242, std values: 0.7880844128419167, min values: -2.3051489257282016, max values: 5.0, median values: 0.0311244482309703, and quantile values: 0.25 -0.508424\n0.50 0.031124\n0.75 0.616943\nName: 13256, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05264899709354402, std values: 0.7566968491274465, min values: -2.184919514578952, max values: 3.5908526919299577, median values: -0.1065565730682112, and quantile values: 0.25 -0.543627\n0.50 -0.106557\n0.75 0.390933\nName: 13257, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.271371819909205, std values: 1.239248469304265, min values: -2.8164291268114208, max values: 3.2696814875916886, median values: 0.4042352779818077, and quantile values: 0.25 -0.359346\n0.50 0.404235\n0.75 1.203893\nName: 13258, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16578369810933108, std values: 0.9370597540626727, min values: -2.4823451998031074, max values: 3.1395741599540568, median values: 0.2687624347292866, and quantile values: 0.25 -0.423030\n0.50 0.268762\n0.75 0.804825\nName: 13259, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1869259799868825, std values: 0.9636260770937914, min values: -2.58513369695146, max values: 4.0, median values: 0.2378843314341292, and quantile values: 0.25 -0.462249\n0.50 0.237884\n0.75 0.914469\nName: 13260, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15270672065883198, std values: 0.9211779075812436, min values: -2.6899145007874274, max values: 3.2696814875916886, median values: -0.2288010467896466, and quantile values: 0.25 -0.884914\n0.50 -0.228801\n0.75 0.445704\nName: 13261, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28518242276025146, std values: 0.8568063721403938, min values: -2.693453432157769, max values: 3.670892362631932, median values: -0.397601663478948, and quantile values: 0.25 -0.923459\n0.50 -0.397602\n0.75 0.268390\nName: 13262, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3032964119448062, std values: 0.7844522700331711, min values: -2.090799501270592, max values: 3.5581019918925243, median values: 0.2923087904889079, and quantile values: 0.25 -0.182856\n0.50 0.292309\n0.75 0.786536\nName: 13263, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09097713375448277, std values: 1.230716117935667, min values: -2.679056533720636, max values: 5.0, median values: 0.2292749259922417, and quantile values: 0.25 -0.639399\n0.50 0.229275\n0.75 0.867865\nName: 13264, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.011244238343798812, std values: 0.8836912000537143, min values: -2.1259296353090704, max values: 3.438667023696733, median values: -0.0448765993230451, and quantile values: 0.25 -0.633207\n0.50 -0.044877\n0.75 0.582763\nName: 13265, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04467027903044611, std values: 1.0299153981550828, min values: -2.497627580948261, max values: 3.477886732511886, median values: -0.005577771975967, and quantile values: 0.25 -0.770391\n0.50 -0.005578\n0.75 0.779240\nName: 13266, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14845988405270083, std values: 0.8544632918094152, min values: -2.73836943861057, max values: 3.9048392686725855, median values: -0.2390271877243869, and quantile values: 0.25 -0.777738\n0.50 -0.239027\n0.75 0.436294\nName: 13267, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.026058617301831583, std values: 0.9194228037130493, min values: -1.9379789026270624, max values: 6.0, median values: -0.0130815467941376, and quantile values: 0.25 -0.692206\n0.50 -0.013082\n0.75 0.635577\nName: 13268, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23707409859822123, std values: 0.898105287679638, min values: -2.916688926075616, max values: 6.0, median values: -0.2922800492621745, and quantile values: 0.25 -0.840680\n0.50 -0.292280\n0.75 0.360221\nName: 13269, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.012924963300049573, std values: 0.8951251098223816, min values: -2.8121055320525654, max values: 5.0, median values: -0.040493854123168, and quantile values: 0.25 -0.685913\n0.50 -0.040494\n0.75 0.650895\nName: 13270, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06990452892159556, std values: 0.8509007502562386, min values: -2.484481276242608, max values: 3.627976272701048, median values: -0.0811553464699336, and quantile values: 0.25 -0.644976\n0.50 -0.081155\n0.75 0.441661\nName: 13271, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22534179095146967, std values: 0.7988669205171441, min values: -1.9937235194808696, max values: 3.627976272701048, median values: 0.3069411634735901, and quantile values: 0.25 -0.316945\n0.50 0.306941\n0.75 0.773396\nName: 13272, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0286795810058142, std values: 0.8205741059429174, min values: -2.070696498607387, max values: 3.3483277116524426, median values: -0.0970076978844515, and quantile values: 0.25 -0.651264\n0.50 -0.097008\n0.75 0.534571\nName: 13273, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08275004165895858, std values: 0.9093423638006142, min values: -2.869671295224012, max values: 6.0, median values: -0.0140179694301026, and quantile values: 0.25 -0.606229\n0.50 -0.014018\n0.75 0.455915\nName: 13274, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07691997326078012, std values: 0.8419939769993214, min values: -2.0854901680147853, max values: 4.0, median values: -0.1442914573246564, and quantile values: 0.25 -0.651332\n0.50 -0.144291\n0.75 0.464262\nName: 13275, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2646389771891417, std values: 0.8004261442462762, min values: -2.160984325879425, max values: 3.667275230673496, median values: 0.2225460675293074, and quantile values: 0.25 -0.243605\n0.50 0.222546\n0.75 0.774882\nName: 13276, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29444579801666565, std values: 1.0660412081463155, min values: -3.228456465836797, max values: 3.9048392686725855, median values: 0.3465850844377097, and quantile values: 0.25 -0.375846\n0.50 0.346585\n0.75 0.966944\nName: 13277, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13116972302059285, std values: 0.8525301417284389, min values: -2.091430750756192, max values: 4.0, median values: 0.189591245282584, and quantile values: 0.25 -0.491595\n0.50 0.189591\n0.75 0.745106\nName: 13278, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13336828615041102, std values: 0.8828216645663726, min values: -2.1238235090034925, max values: 4.243835016543704, median values: -0.1741167032121734, and quantile values: 0.25 -0.773285\n0.50 -0.174117\n0.75 0.367948\nName: 13279, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24923120908114157, std values: 1.974510838522771, min values: -2.9622221028070275, max values: 6.0, median values: -0.467739930613276, and quantile values: 0.25 -2.097265\n0.50 -0.467740\n0.75 1.538580\nName: 13280, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6001506008542847, std values: 0.8517904297714521, min values: -2.56026492390943, max values: 4.0, median values: -0.7261544951385518, and quantile values: 0.25 -1.229056\n0.50 -0.726154\n0.75 -0.099666\nName: 13281, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.154250916177307, std values: 1.005567376811508, min values: -2.1125252493929736, max values: 3.784832159836258, median values: -0.1652451098554574, and quantile values: 0.25 -1.021285\n0.50 -0.165245\n0.75 0.626319\nName: 13282, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04031428077347201, std values: 1.2418966757565253, min values: -2.8282523283494294, max values: 3.147276669305989, median values: 0.0340166110602926, and quantile values: 0.25 -0.848159\n0.50 0.034017\n0.75 0.901278\nName: 13283, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10928184021814019, std values: 0.9312885846334584, min values: -2.6466193392086392, max values: 4.0, median values: -0.0298784585771528, and quantile values: 0.25 -0.641558\n0.50 -0.029878\n0.75 0.451506\nName: 13284, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1645972578546054, std values: 1.0895091113151905, min values: -2.6320986139293034, max values: 3.176672644814091, median values: 0.370531384742102, and quantile values: 0.25 -0.286451\n0.50 0.370531\n0.75 0.876715\nName: 13285, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.00427540069233349, std values: 0.9354274290918732, min values: -3.0390690173369013, max values: 3.319774799707247, median values: 0.0004726901069182, and quantile values: 0.25 -0.618259\n0.50 0.000473\n0.75 0.588150\nName: 13286, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.514985969965745, std values: 1.1170582927671968, min values: -2.919359491767569, max values: 5.0, median values: -0.6172579088099418, and quantile values: 0.25 -1.370989\n0.50 -0.617258\n0.75 0.304402\nName: 13287, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29837388468797205, std values: 0.9105103756804974, min values: -2.4705236352348297, max values: 3.0, median values: -0.3396914585503212, and quantile values: 0.25 -1.060047\n0.50 -0.339691\n0.75 0.353946\nName: 13288, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.153285192732137, std values: 1.1008927779282265, min values: -2.7230534645798463, max values: 3.867701659180865, median values: 0.1141777344795485, and quantile values: 0.25 -0.684896\n0.50 0.114178\n0.75 1.046190\nName: 13289, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6188662192620663, std values: 0.9301009720432886, min values: -2.167861924624162, max values: 3.280245386470253, median values: -0.7683918016359069, and quantile values: 0.25 -1.388127\n0.50 -0.768392\n0.75 -0.007469\nName: 13290, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6415787240461088, std values: 1.2557968183746209, min values: -2.825926939679757, max values: 3.05919958255637, median values: -0.460166637214765, and quantile values: 0.25 -1.853608\n0.50 -0.460167\n0.75 0.325977\nName: 13291, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19728883510675835, std values: 0.8536223996565763, min values: -2.64479559868397, max values: 6.0, median values: 0.1697376847340401, and quantile values: 0.25 -0.341946\n0.50 0.169738\n0.75 0.707144\nName: 13292, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16818542478901172, std values: 0.8221754784688624, min values: -2.486556664247513, max values: 3.0, median values: -0.119584714098315, and quantile values: 0.25 -0.665115\n0.50 -0.119585\n0.75 0.341244\nName: 13293, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.532184157530768, std values: 0.7551516970783559, min values: -2.130013130592229, max values: 6.0, median values: -0.5322849199892622, and quantile values: 0.25 -1.091748\n0.50 -0.532285\n0.75 -0.036828\nName: 13294, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08255331800237274, std values: 1.0311355463834022, min values: -2.2161166709808824, max values: 6.0, median values: -0.0170176645681936, and quantile values: 0.25 -0.653233\n0.50 -0.017018\n0.75 0.738796\nName: 13295, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5746258869639663, std values: 0.9147753982170076, min values: -2.9898739724800576, max values: 3.0089865423056903, median values: 0.6442200313434774, and quantile values: 0.25 -0.104940\n0.50 0.644220\n0.75 1.299641\nName: 13296, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5821072926905375, std values: 0.923073656167807, min values: -2.2915911556076085, max values: 3.415255285860171, median values: 0.5295164631294176, and quantile values: 0.25 -0.038289\n0.50 0.529516\n0.75 1.138397\nName: 13297, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4734821643946756, std values: 0.9405585252382186, min values: -2.623568901859613, max values: 4.0, median values: -0.5457657761588417, and quantile values: 0.25 -1.218017\n0.50 -0.545766\n0.75 0.148569\nName: 13298, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42501894611540847, std values: 1.0327301970354108, min values: -2.679056533720636, max values: 5.0, median values: 0.508558289522388, and quantile values: 0.25 -0.289055\n0.50 0.508558\n0.75 1.214188\nName: 13299, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21864971810125258, std values: 0.9309618382829005, min values: -2.5825978442440407, max values: 6.0, median values: -0.2959033544399777, and quantile values: 0.25 -0.970901\n0.50 -0.295903\n0.75 0.404195\nName: 13300, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38350157279461466, std values: 0.8671930063674708, min values: -2.693453432157769, max values: 3.17157439250477, median values: -0.4803012232641487, and quantile values: 0.25 -1.034240\n0.50 -0.480301\n0.75 0.204294\nName: 13301, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47992854536662427, std values: 0.8006226594207202, min values: -2.601639132009086, max values: 6.0, median values: 0.4901651387808886, and quantile values: 0.25 -0.024788\n0.50 0.490165\n0.75 0.990051\nName: 13302, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16449901429248381, std values: 0.9338490340311336, min values: -2.919359491767569, max values: 6.0, median values: -0.1499330925093911, and quantile values: 0.25 -0.891319\n0.50 -0.149933\n0.75 0.475806\nName: 13303, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24920841917056819, std values: 1.141595570267987, min values: -2.837386543755612, max values: 4.243835016543704, median values: -0.2832097687182768, and quantile values: 0.25 -1.192377\n0.50 -0.283210\n0.75 0.588459\nName: 13304, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3407019025231888, std values: 0.9566314383122808, min values: -2.641174291463747, max values: 6.0, median values: 0.3644913916108867, and quantile values: 0.25 -0.194995\n0.50 0.364491\n0.75 0.926106\nName: 13305, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3841420329924528, std values: 0.8084107908000406, min values: -2.5314209951878217, max values: 3.569037956734876, median values: -0.4312410312180171, and quantile values: 0.25 -0.959798\n0.50 -0.431241\n0.75 0.077573\nName: 13306, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23492107176040786, std values: 0.8653970079854855, min values: -2.6800544037614658, max values: 4.0, median values: -0.2162997833143293, and quantile values: 0.25 -0.793534\n0.50 -0.216300\n0.75 0.293271\nName: 13307, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.020596881546878762, std values: 0.9619141958063862, min values: -2.0866123173037043, max values: 4.0, median values: -0.1506469788032097, and quantile values: 0.25 -0.753783\n0.50 -0.150647\n0.75 0.615820\nName: 13308, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03513289273740999, std values: 0.733596263240726, min values: -2.5046447434119337, max values: 4.0, median values: 0.0018907614838333, and quantile values: 0.25 -0.536701\n0.50 0.001891\n0.75 0.438021\nName: 13309, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6434590143059188, std values: 1.0474956587473414, min values: -2.087919489660226, max values: 4.0, median values: 0.6312728846714561, and quantile values: 0.25 -0.147093\n0.50 0.631273\n0.75 1.485051\nName: 13310, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2103410721123772, std values: 0.7921514554548772, min values: -2.0669513462950864, max values: 4.0, median values: -0.3212202025008313, and quantile values: 0.25 -0.778954\n0.50 -0.321220\n0.75 0.309694\nName: 13311, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1170024007778971, std values: 0.7831075910758822, min values: -2.153087536306035, max values: 3.3760121766849016, median values: 0.1424732358244659, and quantile values: 0.25 -0.428516\n0.50 0.142473\n0.75 0.639090\nName: 13312, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1072737116727452, std values: 1.0761729344830464, min values: -2.6320986139293034, max values: 3.9905524164385566, median values: 0.2539133466000468, and quantile values: 0.25 -0.484310\n0.50 0.253913\n0.75 0.808130\nName: 13313, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3679345876043969, std values: 0.817620977105723, min values: -2.1238235090034925, max values: 5.0, median values: 0.4073918272930716, and quantile values: 0.25 -0.172509\n0.50 0.407392\n0.75 0.889281\nName: 13314, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0026168325882554334, std values: 0.8699787213484846, min values: -2.8998169811239416, max values: 3.721862465295849, median values: -0.0204631376355284, and quantile values: 0.25 -0.593215\n0.50 -0.020463\n0.75 0.549473\nName: 13315, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22969407420588012, std values: 0.8249135560940155, min values: -2.419133598913117, max values: 3.0, median values: 0.1789898743775713, and quantile values: 0.25 -0.315477\n0.50 0.178990\n0.75 0.804956\nName: 13316, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01723283617541441, std values: 1.0074357436965482, min values: -2.245752867605861, max values: 2.9640616449178703, median values: -0.118329912739221, and quantile values: 0.25 -0.791988\n0.50 -0.118330\n0.75 0.648239\nName: 13317, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.00982341581697173, std values: 0.867989456362616, min values: -2.069213147559466, max values: 5.0, median values: 0.0495359360462766, and quantile values: 0.25 -0.668693\n0.50 0.049536\n0.75 0.673081\nName: 13318, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 1.1648658628285833, std values: 1.0453272466096653, min values: -2.6652153608723106, max values: 3.670892362631932, median values: 1.3311908725166726, and quantile values: 0.25 0.465224\n0.50 1.331191\n0.75 1.958556\nName: 13319, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24642779787793595, std values: 0.9157044559608872, min values: -2.1798712735263623, max values: 4.243835016543704, median values: -0.3707083677214865, and quantile values: 0.25 -0.927704\n0.50 -0.370708\n0.75 0.345205\nName: 13320, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6116997306561175, std values: 1.3604934608709873, min values: -2.916688926075616, max values: 6.0, median values: -0.5673720345691666, and quantile values: 0.25 -1.887872\n0.50 -0.567372\n0.75 0.361482\nName: 13321, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20888913489976244, std values: 1.0053928126349732, min values: -2.684072796644972, max values: 6.0, median values: 0.1756526207086716, and quantile values: 0.25 -0.443304\n0.50 0.175653\n0.75 0.872420\nName: 13322, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11538704879257553, std values: 0.82994859442367, min values: -2.8121055320525654, max values: 5.0, median values: -0.2070227522724207, and quantile values: 0.25 -0.706512\n0.50 -0.207023\n0.75 0.432450\nName: 13323, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4914871894626833, std values: 0.9827664041899872, min values: -2.732564679617164, max values: 3.670892362631932, median values: -0.6583030835021022, and quantile values: 0.25 -1.212724\n0.50 -0.658303\n0.75 0.116260\nName: 13324, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0950031461582324, std values: 1.248567867734523, min values: -2.727901130262228, max values: 4.0, median values: -1.6842246352128796, and quantile values: 0.25 -2.140406\n0.50 -1.684225\n0.75 -0.016800\nName: 13325, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0038777848019935705, std values: 0.9610371876828152, min values: -2.0923235737594785, max values: 5.0, median values: -0.0427815998781384, and quantile values: 0.25 -0.775589\n0.50 -0.042782\n0.75 0.706694\nName: 13326, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6128331256526425, std values: 0.847096954277765, min values: -2.778044916685896, max values: 3.5908526919299577, median values: -0.6501063515726697, and quantile values: 0.25 -1.224244\n0.50 -0.650106\n0.75 -0.157569\nName: 13327, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.019938510969380704, std values: 0.7861076751181966, min values: -1.9286976951744428, max values: 6.0, median values: -0.0663197342249378, and quantile values: 0.25 -0.543874\n0.50 -0.066320\n0.75 0.454480\nName: 13328, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.006628566917320361, std values: 0.7149540880826046, min values: -2.2915911556076085, max values: 3.709787027503053, median values: 0.0539757114364372, and quantile values: 0.25 -0.453130\n0.50 0.053976\n0.75 0.448290\nName: 13329, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3023148485211807, std values: 1.055492928852917, min values: -2.7211321814067784, max values: 3.349054967837474, median values: -0.3200448916929385, and quantile values: 0.25 -1.060868\n0.50 -0.320045\n0.75 0.448777\nName: 13330, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6459956793544681, std values: 0.8885276104016766, min values: -2.73836943861057, max values: 3.8226908388056136, median values: 0.7368799767084058, and quantile values: 0.25 0.086609\n0.50 0.736880\n0.75 1.294874\nName: 13331, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22481744932905873, std values: 0.8382208984622468, min values: -2.0475875918146023, max values: 4.0, median values: -0.3207116515192701, and quantile values: 0.25 -0.811673\n0.50 -0.320712\n0.75 0.270008\nName: 13332, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02364461151440102, std values: 1.0958585852627836, min values: -2.608390851963037, max values: 5.0, median values: 0.0688781000992395, and quantile values: 0.25 -0.565707\n0.50 0.068878\n0.75 0.760793\nName: 13333, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14370091670884175, std values: 1.0517073454452208, min values: -2.7510671817729784, max values: 6.0, median values: 0.1672580354321461, and quantile values: 0.25 -0.435729\n0.50 0.167258\n0.75 0.831773\nName: 13334, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6472224997734233, std values: 0.9730337358070088, min values: -2.300042081328127, max values: 4.026668017837955, median values: 0.6904650969570998, and quantile values: 0.25 -0.075466\n0.50 0.690465\n0.75 1.436086\nName: 13335, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23824422467537532, std values: 0.9782637970796462, min values: -2.1320734254271074, max values: 2.879968592907282, median values: -0.2741527165070568, and quantile values: 0.25 -1.053764\n0.50 -0.274153\n0.75 0.528157\nName: 13336, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2624752881847725, std values: 0.7901623992431515, min values: -2.060052319546624, max values: 5.0, median values: 0.3135895353934757, and quantile values: 0.25 -0.298654\n0.50 0.313590\n0.75 0.793421\nName: 13337, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8371315381399116, std values: 1.2618970657137434, min values: -2.558791007225312, max values: 3.8226908388056136, median values: 1.0839198184958636, and quantile values: 0.25 0.020105\n0.50 1.083920\n0.75 1.810023\nName: 13338, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07940281281707967, std values: 1.0282173199941413, min values: -2.891990595045606, max values: 6.0, median values: 0.1942936647103716, and quantile values: 0.25 -0.487129\n0.50 0.194294\n0.75 0.777711\nName: 13339, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4380933796951043, std values: 1.103659617197916, min values: -2.92272757463548, max values: 6.0, median values: -0.4228842744064773, and quantile values: 0.25 -1.269333\n0.50 -0.422884\n0.75 0.377679\nName: 13340, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18786565164457916, std values: 0.774606817111218, min values: -2.0085619686347487, max values: 3.1841025362512254, median values: 0.1325989652181601, and quantile values: 0.25 -0.316669\n0.50 0.132599\n0.75 0.667489\nName: 13341, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20917937232183528, std values: 0.9030460216038658, min values: -2.226424194672579, max values: 4.0, median values: 0.2171342622245509, and quantile values: 0.25 -0.485110\n0.50 0.217134\n0.75 0.926904\nName: 13342, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05391747276634476, std values: 0.9276298759596818, min values: -2.0884068356849723, max values: 4.0, median values: -0.151827203381019, and quantile values: 0.25 -0.789820\n0.50 -0.151827\n0.75 0.593920\nName: 13343, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0650122207150789, std values: 0.8338442383788514, min values: -2.5368854279213573, max values: 4.0, median values: -0.1526552382726074, and quantile values: 0.25 -0.626405\n0.50 -0.152655\n0.75 0.447072\nName: 13344, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1980142808080491, std values: 1.0336669921149655, min values: -2.6270253558526173, max values: 4.0, median values: -0.2554514018495004, and quantile values: 0.25 -0.831246\n0.50 -0.255451\n0.75 0.488645\nName: 13345, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05662175219105466, std values: 0.7589999579281759, min values: -2.3771558481240653, max values: 4.0, median values: 0.0446284971809195, and quantile values: 0.25 -0.437415\n0.50 0.044628\n0.75 0.541573\nName: 13346, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1072971647797363, std values: 1.0725496899477407, min values: -2.769191083399913, max values: 3.260388056018088, median values: 0.1004669348358664, and quantile values: 0.25 -0.530006\n0.50 0.100467\n0.75 0.817342\nName: 13347, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3981370377946818, std values: 1.3042138110566885, min values: -2.891990595045606, max values: 6.0, median values: -0.3460831780388118, and quantile values: 0.25 -1.507318\n0.50 -0.346083\n0.75 0.576541\nName: 13348, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5194247995057638, std values: 1.142093244273977, min values: -3.124705982383478, max values: 3.3014869995452325, median values: 0.7182560421116024, and quantile values: 0.25 -0.183248\n0.50 0.718256\n0.75 1.402264\nName: 13349, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4265971588178408, std values: 0.7791670376369422, min values: -2.0487427091782733, max values: 6.0, median values: 0.478089865736724, and quantile values: 0.25 -0.113642\n0.50 0.478090\n0.75 0.934266\nName: 13350, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.031856672014832235, std values: 0.7790534797835246, min values: -1.9632738528148856, max values: 6.0, median values: -0.0231638857004527, and quantile values: 0.25 -0.533218\n0.50 -0.023164\n0.75 0.568883\nName: 13351, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19777448975869352, std values: 1.0297055280856817, min values: -2.960014365184806, max values: 6.0, median values: -0.1586003667389295, and quantile values: 0.25 -0.806886\n0.50 -0.158600\n0.75 0.442730\nName: 13352, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2400879181647261, std values: 0.7854675559973896, min values: -2.4705236352348297, max values: 3.236860296211547, median values: -0.2738767997621074, and quantile values: 0.25 -0.783797\n0.50 -0.273877\n0.75 0.230010\nName: 13353, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28774946378490046, std values: 0.7079677279303663, min values: -2.245752867605861, max values: 3.20751086257212, median values: -0.363854403078723, and quantile values: 0.25 -0.783201\n0.50 -0.363854\n0.75 0.148513\nName: 13354, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22131821924343628, std values: 1.5549921658963939, min values: -3.124705982383478, max values: 4.026668017837955, median values: 0.0520452487212045, and quantile values: 0.25 -1.839418\n0.50 0.052045\n0.75 0.800585\nName: 13355, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2199624924106773, std values: 0.9685691280731522, min values: -2.855306289371099, max values: 6.0, median values: -0.1435034018238822, and quantile values: 0.25 -0.869519\n0.50 -0.143503\n0.75 0.474049\nName: 13356, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20590133529306487, std values: 0.7205994635996917, min values: -2.3344113078233786, max values: 3.390469008396469, median values: -0.2290194039828333, and quantile values: 0.25 -0.708524\n0.50 -0.229019\n0.75 0.218093\nName: 13357, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28120825705434926, std values: 0.8826221029645648, min values: -2.58513369695146, max values: 4.0, median values: -0.2633465710727459, and quantile values: 0.25 -0.898514\n0.50 -0.263347\n0.75 0.307605\nName: 13358, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4449260297880168, std values: 0.924774728921359, min values: -2.7542003929097176, max values: 5.0, median values: -0.3780930662324843, and quantile values: 0.25 -1.108762\n0.50 -0.378093\n0.75 0.184973\nName: 13359, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24287696011860424, std values: 1.0022118630038113, min values: -2.7428415536925543, max values: 5.0, median values: 0.3751367346758771, and quantile values: 0.25 -0.245591\n0.50 0.375137\n0.75 0.881830\nName: 13360, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16808690254188752, std values: 0.8168181829934333, min values: -2.0491283564961367, max values: 3.3636961113187773, median values: 0.1975220488986509, and quantile values: 0.25 -0.400391\n0.50 0.197522\n0.75 0.682836\nName: 13361, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06747644719027833, std values: 0.9313269816052859, min values: -2.867984306888309, max values: 3.3483277116524426, median values: -0.0024579909395201, and quantile values: 0.25 -0.635259\n0.50 -0.002458\n0.75 0.478896\nName: 13362, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13198736468677486, std values: 0.9815256292762784, min values: -2.783691185534105, max values: 3.1047159712539405, median values: -0.0896502511314679, and quantile values: 0.25 -0.889813\n0.50 -0.089650\n0.75 0.558262\nName: 13363, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23111828694026135, std values: 0.8154181010666779, min values: -2.226424194672579, max values: 4.0, median values: -0.2738767997621074, and quantile values: 0.25 -0.821734\n0.50 -0.273877\n0.75 0.262857\nName: 13364, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17244323775663573, std values: 0.8727539154165592, min values: -2.161181455793125, max values: 6.0, median values: -0.1653409482087251, and quantile values: 0.25 -0.794186\n0.50 -0.165341\n0.75 0.403419\nName: 13365, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2910709876837759, std values: 1.0371903991916163, min values: -2.92272757463548, max values: 6.0, median values: -0.1599284344900005, and quantile values: 0.25 -0.859833\n0.50 -0.159928\n0.75 0.365522\nName: 13366, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15435081173484988, std values: 1.0065780668067235, min values: -2.142854198138545, max values: 5.0, median values: 0.1085247697969293, and quantile values: 0.25 -0.531777\n0.50 0.108525\n0.75 0.773109\nName: 13367, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06815876216426746, std values: 0.8390743765508689, min values: -1.967443887800321, max values: 6.0, median values: 0.0004406290232024, and quantile values: 0.25 -0.498819\n0.50 0.000441\n0.75 0.556173\nName: 13368, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2710501336431433, std values: 0.7886880792942977, min values: -2.7648443048846945, max values: 3.3337116327022187, median values: -0.3146290929788369, and quantile values: 0.25 -0.817034\n0.50 -0.314629\n0.75 0.182464\nName: 13369, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10866853399019348, std values: 0.7424127700626231, min values: -2.040334556469825, max values: 3.0838352979250487, median values: 0.0749495036949817, and quantile values: 0.25 -0.375216\n0.50 0.074950\n0.75 0.558360\nName: 13370, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.059480735419327656, std values: 0.8555401553912618, min values: -2.860922438481449, max values: 2.989910119779402, median values: 0.0408797237633946, and quantile values: 0.25 -0.449325\n0.50 0.040880\n0.75 0.608380\nName: 13371, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3316093824869371, std values: 0.7399779471682584, min values: -1.9504461110658124, max values: 4.0, median values: 0.372360769788251, and quantile values: 0.25 -0.120112\n0.50 0.372361\n0.75 0.798487\nName: 13372, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19400066864082735, std values: 0.8673336772136057, min values: -2.620939317041317, max values: 4.0, median values: -0.2271758409018926, and quantile values: 0.25 -0.828911\n0.50 -0.227176\n0.75 0.360227\nName: 13373, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12775287343973657, std values: 0.9959092803257361, min values: -2.87684958111886, max values: 3.281452258958016, median values: -0.0387023945712214, and quantile values: 0.25 -0.627211\n0.50 -0.038702\n0.75 0.513729\nName: 13374, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4182694035944206, std values: 1.139930226622349, min values: -2.960014365184806, max values: 6.0, median values: 0.5007205787519045, and quantile values: 0.25 -0.322307\n0.50 0.500721\n0.75 1.324016\nName: 13375, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.020342658746586344, std values: 0.8337564590587816, min values: -2.7230534645798463, max values: 3.281452258958016, median values: 0.1036504940081126, and quantile values: 0.25 -0.372361\n0.50 0.103650\n0.75 0.523734\nName: 13376, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2798755985305287, std values: 0.9845481138198874, min values: -2.4823451998031074, max values: 3.0, median values: -0.275821558947312, and quantile values: 0.25 -1.047607\n0.50 -0.275822\n0.75 0.419698\nName: 13377, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0669085120116481, std values: 0.9433719745947943, min values: -2.799990485600992, max values: 5.0, median values: 0.0144411841590834, and quantile values: 0.25 -0.699311\n0.50 0.014441\n0.75 0.570985\nName: 13378, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5486232851225511, std values: 0.9386899013195611, min values: -2.359656207409223, max values: 3.0, median values: -0.6299291560380995, and quantile values: 0.25 -1.333403\n0.50 -0.629929\n0.75 0.077741\nName: 13379, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38052244231070326, std values: 0.9939546596071082, min values: -2.5293911731823453, max values: 3.1227871431249503, median values: -0.4354430497277372, and quantile values: 0.25 -1.007732\n0.50 -0.435443\n0.75 0.270247\nName: 13380, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4076476730042494, std values: 1.1445465863249342, min values: -2.807209974165368, max values: 6.0, median values: 0.6218227144334869, and quantile values: 0.25 -0.291224\n0.50 0.621823\n0.75 1.200602\nName: 13381, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0929766827214278, std values: 0.7684495208770042, min values: -2.169311742921253, max values: 6.0, median values: -0.1184727172451694, and quantile values: 0.25 -0.597900\n0.50 -0.118473\n0.75 0.361885\nName: 13382, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26253855473593285, std values: 0.8811051282963678, min values: -2.116008317253216, max values: 3.3014869995452325, median values: 0.1614128103949106, and quantile values: 0.25 -0.323409\n0.50 0.161413\n0.75 0.797657\nName: 13383, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06869953807704672, std values: 0.8221836403035161, min values: -2.5689076212724418, max values: 5.0, median values: -0.1495153465777164, and quantile values: 0.25 -0.652048\n0.50 -0.149515\n0.75 0.429942\nName: 13384, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23676452754696037, std values: 1.0380449025179566, min values: -2.981718296512785, max values: 5.0, median values: -0.141805581738583, and quantile values: 0.25 -0.945108\n0.50 -0.141806\n0.75 0.540917\nName: 13385, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07102913988401709, std values: 0.9245290648247246, min values: -2.9472833478224456, max values: 6.0, median values: -0.0913646964151251, and quantile values: 0.25 -0.582456\n0.50 -0.091365\n0.75 0.452292\nName: 13386, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10495338667808764, std values: 0.8755185542235832, min values: -2.4176069991382847, max values: 6.0, median values: -0.2309150539134213, and quantile values: 0.25 -0.717323\n0.50 -0.230915\n0.75 0.442026\nName: 13387, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32382059378031747, std values: 0.8805386159687358, min values: -2.2349141721780463, max values: 5.0, median values: 0.4001644769849293, and quantile values: 0.25 -0.291734\n0.50 0.400164\n0.75 0.973338\nName: 13388, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28974648640125533, std values: 0.9996046012840425, min values: -2.841647375415054, max values: 5.0, median values: -0.3537992401262613, and quantile values: 0.25 -1.155045\n0.50 -0.353799\n0.75 0.428191\nName: 13389, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3624040262572796, std values: 0.907029070576008, min values: -2.608390851963037, max values: 5.0, median values: -0.3272733792646176, and quantile values: 0.25 -0.853693\n0.50 -0.327273\n0.75 0.200093\nName: 13390, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01413811503946362, std values: 0.9570979158186061, min values: -1.997911883973804, max values: 3.1888787873512885, median values: -0.0186723435099332, and quantile values: 0.25 -0.791371\n0.50 -0.018672\n0.75 0.685595\nName: 13391, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5590855401794957, std values: 0.9859312063597016, min values: -2.0456684461002883, max values: 3.9048392686725855, median values: 0.5642273324530016, and quantile values: 0.25 -0.107666\n0.50 0.564227\n0.75 1.266485\nName: 13392, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5786944986415394, std values: 1.1761792435104501, min values: -2.87684958111886, max values: 3.030805337148847, median values: -0.4461591179743332, and quantile values: 0.25 -1.714469\n0.50 -0.446159\n0.75 0.373315\nName: 13393, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05968259610078458, std values: 0.7981044514657755, min values: -2.8121055320525654, max values: 5.0, median values: 0.010850702264349, and quantile values: 0.25 -0.434144\n0.50 0.010851\n0.75 0.520889\nName: 13394, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03805651772715331, std values: 0.9735544212040951, min values: -2.842043939794492, max values: 3.5908526919299577, median values: 0.0633828853697276, and quantile values: 0.25 -0.538737\n0.50 0.063383\n0.75 0.544318\nName: 13395, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1265007909656711, std values: 0.8434837583086442, min values: -2.09821650080654, max values: 4.0, median values: -0.2428957798073086, and quantile values: 0.25 -0.745457\n0.50 -0.242896\n0.75 0.419543\nName: 13396, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38159430909046477, std values: 0.8209472521796932, min values: -2.419133598913117, max values: 3.215720519334646, median values: -0.4995034714469002, and quantile values: 0.25 -0.954048\n0.50 -0.499503\n0.75 0.073265\nName: 13397, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6695797046732237, std values: 0.9673012702266253, min values: -2.673124659932621, max values: 6.0, median values: -0.7382535943141356, and quantile values: 0.25 -1.313850\n0.50 -0.738254\n0.75 -0.067480\nName: 13398, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39451898738879315, std values: 1.2052305611115621, min values: -2.93129584560762, max values: 6.0, median values: -0.3383901239785276, and quantile values: 0.25 -1.170566\n0.50 -0.338390\n0.75 0.462368\nName: 13399, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18620317325001048, std values: 0.9928753337610898, min values: -2.0059437928561947, max values: 3.5908526919299577, median values: 0.149643077369371, and quantile values: 0.25 -0.618718\n0.50 0.149643\n0.75 0.928431\nName: 13400, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02377704885015028, std values: 0.7809495497051682, min values: -2.8889090019311845, max values: 5.0, median values: -0.038151201502244, and quantile values: 0.25 -0.550765\n0.50 -0.038151\n0.75 0.443591\nName: 13401, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.332646065260332, std values: 1.1207398589877062, min values: -2.8246479422601736, max values: 6.0, median values: -0.3706303188736817, and quantile values: 0.25 -1.239334\n0.50 -0.370630\n0.75 0.459634\nName: 13402, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05092269307069958, std values: 0.8896093069726386, min values: -2.016912165465322, max values: 3.667275230673496, median values: -0.1522248454009746, and quantile values: 0.25 -0.732047\n0.50 -0.152225\n0.75 0.559395\nName: 13403, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20630568724293977, std values: 0.9436813660901894, min values: -2.1453368110890367, max values: 3.055874031381882, median values: 0.3111575481111553, and quantile values: 0.25 -0.470537\n0.50 0.311158\n0.75 0.919629\nName: 13404, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.013890916518642606, std values: 0.8009092116983703, min values: -2.040334556469825, max values: 4.0, median values: 0.0395035289568364, and quantile values: 0.25 -0.611350\n0.50 0.039504\n0.75 0.556816\nName: 13405, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32262801711759, std values: 0.9706904445216968, min values: -2.7024513197886706, max values: 3.349054967837474, median values: 0.4557501558484344, and quantile values: 0.25 -0.242867\n0.50 0.455750\n0.75 0.984760\nName: 13406, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.46396544422606667, std values: 1.1050974812891068, min values: -2.1232100101643527, max values: 6.0, median values: 0.2707616214195264, and quantile values: 0.25 -0.372892\n0.50 0.270762\n0.75 1.218712\nName: 13407, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.022216957516923052, std values: 0.7452173642272112, min values: -2.560041333834972, max values: 3.2071942083719924, median values: -0.0356158600768335, and quantile values: 0.25 -0.532129\n0.50 -0.035616\n0.75 0.450303\nName: 13408, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05655975112770299, std values: 1.2801188249877828, min values: -2.6117120822772133, max values: 5.0, median values: -0.2483736635203801, and quantile values: 0.25 -1.147499\n0.50 -0.248374\n0.75 0.832215\nName: 13409, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35885354383410184, std values: 0.9658149357002163, min values: -2.6404955031131814, max values: 6.0, median values: 0.3144844128296523, and quantile values: 0.25 -0.277885\n0.50 0.314484\n0.75 0.923544\nName: 13410, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3339575863008371, std values: 0.9039429805619433, min values: -2.321103531050575, max values: 4.0, median values: -0.4155200713610124, and quantile values: 0.25 -1.077997\n0.50 -0.415520\n0.75 0.297141\nName: 13411, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2091893397583779, std values: 0.947859151388757, min values: -2.6635706018350787, max values: 3.438667023696733, median values: 0.0908669267932588, and quantile values: 0.25 -0.404440\n0.50 0.090867\n0.75 0.840329\nName: 13412, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05641164210267365, std values: 0.876426503278107, min values: -2.2477784840641744, max values: 4.0, median values: -0.0421751881193817, and quantile values: 0.25 -0.723358\n0.50 -0.042175\n0.75 0.618885\nName: 13413, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02868676713403879, std values: 0.819997806702933, min values: -2.149188957097492, max values: 3.9905524164385566, median values: 0.0207525844098161, and quantile values: 0.25 -0.598534\n0.50 0.020753\n0.75 0.522270\nName: 13414, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2967924586127016, std values: 0.8936313045734369, min values: -2.558791007225312, max values: 3.0, median values: -0.3733403715313598, and quantile values: 0.25 -0.876876\n0.50 -0.373340\n0.75 0.192913\nName: 13415, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.005068033229517765, std values: 0.8300387963440681, min values: -2.475778245535816, max values: 3.867701659180865, median values: -0.0762475554767218, and quantile values: 0.25 -0.615686\n0.50 -0.076248\n0.75 0.555419\nName: 13416, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.676347161026593, std values: 0.9290309428784953, min values: -2.6685266729136536, max values: 6.0, median values: -0.8028886232356771, and quantile values: 0.25 -1.428388\n0.50 -0.802889\n0.75 -0.085780\nName: 13417, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4440284207485688, std values: 0.8644338785818102, min values: -2.629638447792358, max values: 3.017846660960028, median values: -0.495502403234122, and quantile values: 0.25 -1.142089\n0.50 -0.495502\n0.75 0.145056\nName: 13418, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2989166481343227, std values: 0.9114503890045356, min values: -2.8282523283494294, max values: 4.0, median values: -0.3588170898359822, and quantile values: 0.25 -0.866448\n0.50 -0.358817\n0.75 0.248791\nName: 13419, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1059725432544543, std values: 0.7439245685188591, min values: -2.2398683045325223, max values: 3.236860296211547, median values: -0.1674258097126583, and quantile values: 0.25 -0.607280\n0.50 -0.167426\n0.75 0.304813\nName: 13420, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38380585244456167, std values: 1.0626679650941726, min values: -2.497627580948261, max values: 3.4566816047670264, median values: -0.3815379376956161, and quantile values: 0.25 -1.258177\n0.50 -0.381538\n0.75 0.391557\nName: 13421, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.050699300087154814, std values: 0.939950982541017, min values: -2.732564679617164, max values: 3.169414082461771, median values: 0.0051050751390883, and quantile values: 0.25 -0.582316\n0.50 0.005105\n0.75 0.517839\nName: 13422, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.011302997642122893, std values: 0.8944923607707452, min values: -2.13876869940687, max values: 3.1175233493066874, median values: 0.0020654499479885, and quantile values: 0.25 -0.681196\n0.50 0.002065\n0.75 0.693104\nName: 13423, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08464950825586015, std values: 0.78371647768781, min values: -2.0972650777209885, max values: 6.0, median values: 0.1521292063726327, and quantile values: 0.25 -0.467687\n0.50 0.152129\n0.75 0.621155\nName: 13424, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38551613993401596, std values: 0.985675848112808, min values: -2.564449278715455, max values: 3.3636961113187773, median values: -0.5882548601282545, and quantile values: 0.25 -1.110337\n0.50 -0.588255\n0.75 0.183528\nName: 13425, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3152449666034166, std values: 1.0695961145431125, min values: -2.869671295224012, max values: 6.0, median values: -0.2879141740066638, and quantile values: 0.25 -0.916603\n0.50 -0.287914\n0.75 0.383776\nName: 13426, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08297380312713613, std values: 1.0273021833270355, min values: -2.475778245535816, max values: 3.518664430018096, median values: -0.170464140990061, and quantile values: 0.25 -0.942525\n0.50 -0.170464\n0.75 0.676669\nName: 13427, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2579582595041581, std values: 0.9490133072177729, min values: -2.6115251494731915, max values: 3.349054967837474, median values: 0.273073134307266, and quantile values: 0.25 -0.385231\n0.50 0.273073\n0.75 0.845487\nName: 13428, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.076576124723922, std values: 0.9608515530686177, min values: -2.87684958111886, max values: 2.9565017136140046, median values: 0.0854205592239419, and quantile values: 0.25 -0.484707\n0.50 0.085421\n0.75 0.709367\nName: 13429, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2966805659551267, std values: 0.8038536326691823, min values: -2.62876542141649, max values: 4.278004674434932, median values: 0.3617088248389646, and quantile values: 0.25 -0.217824\n0.50 0.361709\n0.75 0.813613\nName: 13430, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1226828335659531, std values: 0.7750391420229986, min values: -2.710223074556336, max values: 4.0, median values: -0.1264022408409965, and quantile values: 0.25 -0.624164\n0.50 -0.126402\n0.75 0.332709\nName: 13431, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15434844367257114, std values: 1.2917007529604354, min values: -2.815821936576896, max values: 3.3337116327022187, median values: 0.0952370203921377, and quantile values: 0.25 -0.725224\n0.50 0.095237\n0.75 0.744490\nName: 13432, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5402717437746742, std values: 0.7732304372772015, min values: -2.2065783767301927, max values: 6.0, median values: 0.6038168505425299, and quantile values: 0.25 0.089291\n0.50 0.603817\n0.75 1.043850\nName: 13433, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3359864049369499, std values: 1.0774167104670898, min values: -2.769191083399913, max values: 3.405671179043623, median values: -0.2068977845278131, and quantile values: 0.25 -0.817880\n0.50 -0.206898\n0.75 0.361285\nName: 13434, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5857644801228291, std values: 0.8727159377165331, min values: -2.1670801557558934, max values: 3.1801075704642923, median values: 0.7062954946404723, and quantile values: 0.25 -0.007270\n0.50 0.706295\n0.75 1.250315\nName: 13435, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.008213113340942163, std values: 0.8189167897089895, min values: -2.2161166709808824, max values: 6.0, median values: 0.0132357089380645, and quantile values: 0.25 -0.540972\n0.50 0.013236\n0.75 0.524737\nName: 13436, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18381148127521707, std values: 1.0253365094378017, min values: -2.137685238195388, max values: 5.0, median values: 0.1358828858585812, and quantile values: 0.25 -0.599358\n0.50 0.135883\n0.75 1.048096\nName: 13437, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1229676576639383, std values: 1.0171946486250694, min values: -2.56026492390943, max values: 4.0, median values: -0.2668961582847953, and quantile values: 0.25 -0.832349\n0.50 -0.266896\n0.75 0.567317\nName: 13438, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8353312421091228, std values: 0.998050208749207, min values: -2.90140378513671, max values: 3.2266531185902125, median values: 0.911757626666648, and quantile values: 0.25 0.092685\n0.50 0.911758\n0.75 1.671382\nName: 13439, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5424988937980183, std values: 1.0028461018075796, min values: -2.5631847770497496, max values: 4.0, median values: -0.6879656684762845, and quantile values: 0.25 -1.246395\n0.50 -0.687966\n0.75 0.071721\nName: 13440, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7449284916799004, std values: 0.8995908196256055, min values: -2.048935494746508, max values: 3.784832159836258, median values: 0.8214036331191504, and quantile values: 0.25 0.128618\n0.50 0.821404\n0.75 1.456343\nName: 13441, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.396325380214424, std values: 0.9122113785397641, min values: -2.0173333848714066, max values: 3.0, median values: 0.4738028268503831, and quantile values: 0.25 -0.200359\n0.50 0.473803\n0.75 1.001547\nName: 13442, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3054997375331086, std values: 1.0818754978828276, min values: -2.6270253558526173, max values: 4.0, median values: 0.4153073226620166, and quantile values: 0.25 -0.343615\n0.50 0.415307\n0.75 1.047893\nName: 13443, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07362284149050093, std values: 1.0786941042647862, min values: -2.590643619371846, max values: 4.0, median values: 0.1792300410093965, and quantile values: 0.25 -0.635312\n0.50 0.179230\n0.75 0.755668\nName: 13444, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3082170451659214, std values: 0.9897270812630508, min values: -2.6466193392086392, max values: 4.0, median values: -0.4130568934289282, and quantile values: 0.25 -0.942053\n0.50 -0.413057\n0.75 0.318534\nName: 13445, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3307005703058009, std values: 0.9291320034566319, min values: -2.6117120822772133, max values: 5.0, median values: -0.4692697411510291, and quantile values: 0.25 -1.047239\n0.50 -0.469270\n0.75 0.229019\nName: 13446, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2172311946141469, std values: 1.0627981238407316, min values: -3.066111439712689, max values: 3.336438412828754, median values: 0.2240475792333941, and quantile values: 0.25 -0.567705\n0.50 0.224048\n0.75 1.102036\nName: 13447, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08184110903676851, std values: 0.7717956480016943, min values: -2.086946282658587, max values: 2.859669575455998, median values: -0.161843824717173, and quantile values: 0.25 -0.613231\n0.50 -0.161844\n0.75 0.407674\nName: 13448, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21675349060832252, std values: 0.8984211733167029, min values: -2.710223074556336, max values: 4.0, median values: 0.2574727003351805, and quantile values: 0.25 -0.273539\n0.50 0.257473\n0.75 0.752798\nName: 13449, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26617164110904484, std values: 0.7981549975678479, min values: -2.058629196027331, max values: 6.0, median values: 0.3177629844352312, and quantile values: 0.25 -0.269420\n0.50 0.317763\n0.75 0.836062\nName: 13450, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12833937230459141, std values: 0.8503774795030759, min values: -2.5624611946462936, max values: 5.0, median values: -0.1618677708381549, and quantile values: 0.25 -0.639602\n0.50 -0.161868\n0.75 0.378896\nName: 13451, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22350917890130836, std values: 0.8208962544954458, min values: -2.016912165465322, max values: 6.0, median values: 0.1946469429005995, and quantile values: 0.25 -0.345748\n0.50 0.194647\n0.75 0.757596\nName: 13452, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.83022358560248, std values: 1.017540320276774, min values: -2.605098146828148, max values: 6.0, median values: 0.9187870114478413, and quantile values: 0.25 0.207811\n0.50 0.918787\n0.75 1.528443\nName: 13453, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30940341742344063, std values: 0.9037960672941001, min values: -2.558791007225312, max values: 3.518664430018096, median values: 0.3621085301465736, and quantile values: 0.25 -0.209471\n0.50 0.362109\n0.75 0.864907\nName: 13454, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26063224535270885, std values: 0.9434427089558628, min values: -2.63315074164461, max values: 6.0, median values: -0.3404029927147488, and quantile values: 0.25 -0.897738\n0.50 -0.340403\n0.75 0.363854\nName: 13455, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1801225795995331, std values: 0.9059081531469096, min values: -2.620939317041317, max values: 3.630507857092792, median values: 0.1632807567587288, and quantile values: 0.25 -0.460843\n0.50 0.163281\n0.75 0.769947\nName: 13456, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20488564846885493, std values: 1.0453299284768047, min values: -2.5953860446419177, max values: 3.025409039429847, median values: -0.3081827085293528, and quantile values: 0.25 -1.017995\n0.50 -0.308183\n0.75 0.585899\nName: 13457, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.021488638857349585, std values: 0.870291353991892, min values: -1.9251718191674347, max values: 5.0, median values: -0.1011312446487942, and quantile values: 0.25 -0.688419\n0.50 -0.101131\n0.75 0.546011\nName: 13458, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33743190293981284, std values: 0.7868529998137022, min values: -2.2915911556076085, max values: 3.434669824302974, median values: 0.4078541012537101, and quantile values: 0.25 -0.174042\n0.50 0.407854\n0.75 0.885917\nName: 13459, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7054989009755914, std values: 0.826761341692544, min values: -2.442256129120324, max values: 6.0, median values: -0.857463552089004, and quantile values: 0.25 -1.321848\n0.50 -0.857464\n0.75 -0.258184\nName: 13460, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08907127222143639, std values: 1.3446973504804027, min values: -2.1519703158873136, max values: 5.0, median values: -0.3009710014788897, and quantile values: 0.25 -0.949810\n0.50 -0.300971\n0.75 1.008518\nName: 13461, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.047562281443395915, std values: 1.1525109250939491, min values: -2.610097161345549, max values: 4.0, median values: 0.2167959199163009, and quantile values: 0.25 -0.623093\n0.50 0.216796\n0.75 0.774130\nName: 13462, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16206235683267495, std values: 0.8723240674584731, min values: -2.159847940654977, max values: 4.0, median values: 0.1688716423765745, and quantile values: 0.25 -0.466114\n0.50 0.168872\n0.75 0.749731\nName: 13463, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.48727845221026117, std values: 1.006170080792435, min values: -2.867984306888309, max values: 3.0533207538164056, median values: -0.4260297346928728, and quantile values: 0.25 -1.099891\n0.50 -0.426030\n0.75 0.168062\nName: 13464, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11786982664924292, std values: 0.9851000191788746, min values: -2.641174291463747, max values: 6.0, median values: 0.105616518328721, and quantile values: 0.25 -0.500050\n0.50 0.105617\n0.75 0.727724\nName: 13465, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06258474690491561, std values: 0.7578982803929382, min values: -2.5631847770497496, max values: 4.0, median values: 0.035624732148137, and quantile values: 0.25 -0.452396\n0.50 0.035625\n0.75 0.556964\nName: 13466, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17215315474369908, std values: 0.7699161727329079, min values: -2.9898739724800576, max values: 3.455472209455805, median values: 0.1990106041818382, and quantile values: 0.25 -0.343224\n0.50 0.199011\n0.75 0.660065\nName: 13467, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17652107529631708, std values: 0.9509213291882367, min values: -2.572123985342288, max values: 4.0, median values: 0.207549765532333, and quantile values: 0.25 -0.439318\n0.50 0.207550\n0.75 0.774994\nName: 13468, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.48116502076226186, std values: 1.0743541785285489, min values: -2.679056533720636, max values: 5.0, median values: -0.5572339282987424, and quantile values: 0.25 -1.231628\n0.50 -0.557234\n0.75 0.245705\nName: 13469, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21353627076015008, std values: 1.150176880492189, min values: -2.8531572940820533, max values: 6.0, median values: 0.2932464776046862, and quantile values: 0.25 -0.633784\n0.50 0.293246\n0.75 1.134250\nName: 13470, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2805667570576019, std values: 0.8307316516859855, min values: -2.126826088408417, max values: 5.0, median values: 0.3433226459783931, and quantile values: 0.25 -0.295472\n0.50 0.343323\n0.75 0.838749\nName: 13471, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2654711042990043, std values: 0.7761047541522768, min values: -2.589966702820638, max values: 6.0, median values: 0.2467192633104249, and quantile values: 0.25 -0.215695\n0.50 0.246719\n0.75 0.743243\nName: 13472, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3276367826824021, std values: 1.3592111812293388, min values: -2.949186837165601, max values: 4.278004674434932, median values: -0.352831911679402, and quantile values: 0.25 -1.264167\n0.50 -0.352832\n0.75 0.465026\nName: 13473, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.434172773615527, std values: 0.8180902389080525, min values: -2.144224014725033, max values: 5.0, median values: -0.5077569287646955, and quantile values: 0.25 -1.021334\n0.50 -0.507757\n0.75 0.046104\nName: 13474, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06368530681450787, std values: 0.9708725172565955, min values: -3.4217036547572723, max values: 3.1047159712539405, median values: -0.1127918732740858, and quantile values: 0.25 -0.795288\n0.50 -0.112792\n0.75 0.613956\nName: 13475, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.045515043874945864, std values: 0.8792061037514366, min values: -2.1124050188802093, max values: 4.0, median values: -0.0087685135193731, and quantile values: 0.25 -0.649937\n0.50 -0.008769\n0.75 0.704906\nName: 13476, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.007953855575488358, std values: 0.7678801211762917, min values: -2.245752867605861, max values: 3.670892362631932, median values: -0.049894389821067, and quantile values: 0.25 -0.500065\n0.50 -0.049894\n0.75 0.490290\nName: 13477, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02903192657769249, std values: 1.0138800918077306, min values: -3.307038206418975, max values: 3.336438412828754, median values: -0.1451512564631614, and quantile values: 0.25 -0.751837\n0.50 -0.145151\n0.75 0.640915\nName: 13478, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05714179513393956, std values: 0.882113434068642, min values: -2.2038853164231766, max values: 3.627976272701048, median values: 0.0498668162267557, and quantile values: 0.25 -0.562130\n0.50 0.049867\n0.75 0.615653\nName: 13479, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.034975878325013, std values: 1.3347888595300528, min values: -2.727901130262228, max values: 4.0, median values: -1.697451438218042, and quantile values: 0.25 -2.140874\n0.50 -1.697451\n0.75 0.031786\nName: 13480, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24993528026854775, std values: 1.1622508844911623, min values: -2.933035609461076, max values: 5.0, median values: -0.1922734479355877, and quantile values: 0.25 -1.172725\n0.50 -0.192273\n0.75 0.600643\nName: 13481, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11695026209201866, std values: 0.9739795642789538, min values: -2.662750916816848, max values: 5.0, median values: -0.2327255715870586, and quantile values: 0.25 -0.913633\n0.50 -0.232726\n0.75 0.586161\nName: 13482, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12580980915911222, std values: 0.9655462364937419, min values: -2.837386543755612, max values: 4.0, median values: 0.2202368970981329, and quantile values: 0.25 -0.471223\n0.50 0.220237\n0.75 0.736221\nName: 13483, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27413232034538854, std values: 0.8404413031838824, min values: -3.307038206418975, max values: 3.258347009006034, median values: -0.3636776452302338, and quantile values: 0.25 -0.897878\n0.50 -0.363678\n0.75 0.288463\nName: 13484, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24220788483737607, std values: 0.950014486953153, min values: -2.093540956409567, max values: 3.867701659180865, median values: 0.1408320327434136, and quantile values: 0.25 -0.486071\n0.50 0.140832\n0.75 0.831656\nName: 13485, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1784018613986838, std values: 1.0709328891246899, min values: -2.769191083399913, max values: 3.496479817235339, median values: 0.0106357275228076, and quantile values: 0.25 -0.678436\n0.50 0.010636\n0.75 0.511143\nName: 13486, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18400640677524155, std values: 0.7837836408809662, min values: -2.8843374390620142, max values: 6.0, median values: 0.2379634141591442, and quantile values: 0.25 -0.370327\n0.50 0.237963\n0.75 0.745761\nName: 13487, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6244338081928054, std values: 1.0806749315083521, min values: -2.807209974165368, max values: 6.0, median values: -0.6125604798892792, and quantile values: 0.25 -1.429897\n0.50 -0.612560\n0.75 0.041734\nName: 13488, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5107512865038017, std values: 1.0419282536965986, min values: -2.7428415536925543, max values: 3.9905524164385566, median values: 0.4396886811024929, and quantile values: 0.25 -0.220681\n0.50 0.439689\n0.75 1.167572\nName: 13489, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.027410533610179103, std values: 1.1010703984377994, min values: -2.36120258340179, max values: 3.5581019918925243, median values: -0.231106480655792, and quantile values: 0.25 -0.905512\n0.50 -0.231106\n0.75 0.717721\nName: 13490, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4428060604209079, std values: 1.006427736414595, min values: -2.416058779027063, max values: 4.026668017837955, median values: 0.5596433678687547, and quantile values: 0.25 -0.305123\n0.50 0.559643\n0.75 1.232334\nName: 13491, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.016081518786723318, std values: 0.8675751723218079, min values: -1.9792159832831149, max values: 4.0, median values: -0.1352992195278597, and quantile values: 0.25 -0.620034\n0.50 -0.135299\n0.75 0.522108\nName: 13492, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.053319770515326256, std values: 0.8967716187285271, min values: -2.807209974165368, max values: 6.0, median values: -0.1655204080834309, and quantile values: 0.25 -0.683105\n0.50 -0.165520\n0.75 0.474327\nName: 13493, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10265651851076903, std values: 0.8277557262011457, min values: -1.9971846723354447, max values: 5.0, median values: -0.2282430723847381, and quantile values: 0.25 -0.676197\n0.50 -0.228243\n0.75 0.401836\nName: 13494, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12068969746156731, std values: 0.8596365311298959, min values: -2.1238235090034925, max values: 5.0, median values: -0.2089506160694653, and quantile values: 0.25 -0.793534\n0.50 -0.208951\n0.75 0.495047\nName: 13495, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4906860290951932, std values: 0.8875091757126937, min values: -2.0730520506365586, max values: 3.132053530264631, median values: -0.6034165765311142, and quantile values: 0.25 -1.232334\n0.50 -0.603417\n0.75 0.084238\nName: 13496, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36289027161790804, std values: 0.856392425370924, min values: -2.068409635448683, max values: 3.135426854633533, median values: -0.4382027875326303, and quantile values: 0.25 -1.078505\n0.50 -0.438203\n0.75 0.227918\nName: 13497, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03315804800258198, std values: 0.8812704019307086, min values: -2.439930808627264, max values: 4.0, median values: -0.0928276700137886, and quantile values: 0.25 -0.762067\n0.50 -0.092828\n0.75 0.579210\nName: 13498, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18564158056777058, std values: 0.7958697934064142, min values: -2.237551233786546, max values: 4.0, median values: 0.1674192101964901, and quantile values: 0.25 -0.305989\n0.50 0.167419\n0.75 0.674524\nName: 13499, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6465964562328385, std values: 0.8297694074600902, min values: -2.525362520654854, max values: 5.0, median values: 0.723863341687013, and quantile values: 0.25 0.115508\n0.50 0.723863\n0.75 1.238785\nName: 13500, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06449989902788214, std values: 0.7953707990193073, min values: -2.2423374092797945, max values: 3.047545592545638, median values: 0.0422578797137168, and quantile values: 0.25 -0.500318\n0.50 0.042258\n0.75 0.591356\nName: 13501, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17810168719069572, std values: 0.9535162194922301, min values: -2.8563982925340614, max values: 4.0, median values: -0.1282607377382791, and quantile values: 0.25 -0.725941\n0.50 -0.128261\n0.75 0.428956\nName: 13502, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33923662501779683, std values: 1.0217851155597326, min values: -2.7428415536925543, max values: 5.0, median values: 0.4522655201405876, and quantile values: 0.25 -0.316047\n0.50 0.452266\n0.75 1.109374\nName: 13503, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4999247208228303, std values: 0.7907380638572682, min values: -2.688157591415518, max values: 3.434669824302974, median values: 0.5562467219781588, and quantile values: 0.25 0.008414\n0.50 0.556247\n0.75 1.003174\nName: 13504, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1377738713987333, std values: 1.0140687737583023, min values: -2.730840794324401, max values: 3.627976272701048, median values: -0.2206325344259741, and quantile values: 0.25 -0.962277\n0.50 -0.220633\n0.75 0.555888\nName: 13505, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3244252751787512, std values: 0.9472032199765678, min values: -2.215291168881953, max values: 4.278004674434932, median values: -0.4495445153202111, and quantile values: 0.25 -1.103098\n0.50 -0.449545\n0.75 0.357701\nName: 13506, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5910564040349007, std values: 0.8025258826201556, min values: -2.245420051671778, max values: 3.103622965243153, median values: -0.6783670390803344, and quantile values: 0.25 -1.200263\n0.50 -0.678367\n0.75 -0.145008\nName: 13507, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22133470525824933, std values: 0.9430916276153662, min values: -2.414039489297912, max values: 6.0, median values: -0.2723617499134585, and quantile values: 0.25 -0.975323\n0.50 -0.272362\n0.75 0.413048\nName: 13508, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02488463626870334, std values: 0.9577560456596192, min values: -2.0346833617013265, max values: 6.0, median values: -0.0657837560510685, and quantile values: 0.25 -0.840327\n0.50 -0.065784\n0.75 0.666426\nName: 13509, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14376271488626927, std values: 0.8725334525071674, min values: -2.4902145713898545, max values: 3.9905524164385566, median values: -0.2233456324340921, and quantile values: 0.25 -0.687791\n0.50 -0.223346\n0.75 0.344696\nName: 13510, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.025209709306249453, std values: 0.9217524122319539, min values: -2.688157591415518, max values: 5.0, median values: 0.0351517459803418, and quantile values: 0.25 -0.546013\n0.50 0.035152\n0.75 0.630903\nName: 13511, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49669470125649623, std values: 0.9778085915746022, min values: -3.0484008792629496, max values: 5.0, median values: -0.6378924061288329, and quantile values: 0.25 -1.144737\n0.50 -0.637892\n0.75 0.095771\nName: 13512, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2749033663005436, std values: 0.7453408378817367, min values: -2.2161166709808824, max values: 6.0, median values: 0.3004091895504659, and quantile values: 0.25 -0.177342\n0.50 0.300409\n0.75 0.729204\nName: 13513, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.031636315950335274, std values: 0.8106013297404646, min values: -2.6023368942328267, max values: 3.434669824302974, median values: 0.0676936164249239, and quantile values: 0.25 -0.489731\n0.50 0.067694\n0.75 0.529178\nName: 13514, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16784605156690716, std values: 0.7785599891605784, min values: -2.1775880058603043, max values: 2.883469967826547, median values: 0.1663580409290917, and quantile values: 0.25 -0.330716\n0.50 0.166358\n0.75 0.663776\nName: 13515, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3177830498644985, std values: 0.9488837171355865, min values: -2.8843374390620142, max values: 6.0, median values: -0.4582163206739141, and quantile values: 0.25 -1.081149\n0.50 -0.458216\n0.75 0.342698\nName: 13516, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4096729994660413, std values: 1.002952272455135, min values: -2.419133598913117, max values: 3.9905524164385566, median values: 0.4294887660049477, and quantile values: 0.25 -0.367670\n0.50 0.429489\n0.75 1.207710\nName: 13517, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4852975776257653, std values: 0.8331216944451388, min values: -2.2915911556076085, max values: 3.3483277116524426, median values: 0.5402058984345911, and quantile values: 0.25 -0.076772\n0.50 0.540206\n0.75 1.117060\nName: 13518, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03546021861711985, std values: 0.9522951081696941, min values: -2.5201815750705507, max values: 4.0, median values: 0.0115811660672634, and quantile values: 0.25 -0.651843\n0.50 0.011581\n0.75 0.552884\nName: 13519, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09957324668886927, std values: 1.0513133165242081, min values: -2.632854336056873, max values: 3.1395741599540568, median values: -5.507862614590646e-05, and quantile values: 0.25 -0.757241\n0.50 -0.000055\n0.75 0.701779\nName: 13520, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25565374074253805, std values: 0.8000957098081329, min values: -2.730840794324401, max values: 3.191712471143802, median values: 0.3119266505449066, and quantile values: 0.25 -0.192189\n0.50 0.311927\n0.75 0.758501\nName: 13521, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.48211869546699926, std values: 0.9145846412585024, min values: -2.130470192851498, max values: 6.0, median values: 0.5034275947064297, and quantile values: 0.25 -0.161055\n0.50 0.503428\n0.75 1.173055\nName: 13522, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01990291543876973, std values: 0.9821640008070414, min values: -2.622709665346679, max values: 3.0, median values: 0.1770689117385665, and quantile values: 0.25 -0.464672\n0.50 0.177069\n0.75 0.641727\nName: 13523, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5968752834052438, std values: 1.0139384166247944, min values: -2.5213149333948146, max values: 3.3636961113187773, median values: 0.6609471416082675, and quantile values: 0.25 -0.108102\n0.50 0.660947\n0.75 1.382758\nName: 13524, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1137186696128949, std values: 0.875597726008144, min values: -2.5544460869462697, max values: 4.0, median values: 0.0960088431526893, and quantile values: 0.25 -0.477836\n0.50 0.096009\n0.75 0.689356\nName: 13525, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11497747448778442, std values: 0.8282717549247469, min values: -2.0942940418967018, max values: 5.0, median values: 0.0345411658125132, and quantile values: 0.25 -0.403210\n0.50 0.034541\n0.75 0.584494\nName: 13526, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02071360011470668, std values: 0.8575630520083167, min values: -2.072108449798908, max values: 5.0, median values: -0.1061427064460622, and quantile values: 0.25 -0.618785\n0.50 -0.106143\n0.75 0.542559\nName: 13527, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07580662596653531, std values: 0.8124378991150982, min values: -2.5445249319512966, max values: 3.096891534584617, median values: 0.115450532813659, and quantile values: 0.25 -0.477596\n0.50 0.115451\n0.75 0.611000\nName: 13528, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5011078895744654, std values: 1.026591172419588, min values: -2.1227739687253626, max values: 4.278004674434932, median values: 0.596487600043946, and quantile values: 0.25 -0.286493\n0.50 0.596488\n0.75 1.304100\nName: 13529, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09286078452633066, std values: 0.9096425100888845, min values: -2.64479559868397, max values: 6.0, median values: 0.1765167562000767, and quantile values: 0.25 -0.486171\n0.50 0.176517\n0.75 0.706154\nName: 13530, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2114525974312731, std values: 0.9304202843553533, min values: -2.662750916816848, max values: 5.0, median values: -0.3170607071181407, and quantile values: 0.25 -0.943040\n0.50 -0.317061\n0.75 0.428153\nName: 13531, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2524223465314951, std values: 1.0117298129218508, min values: -2.0868208093096303, max values: 3.670892362631932, median values: 0.279914688675585, and quantile values: 0.25 -0.526930\n0.50 0.279915\n0.75 1.063386\nName: 13532, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4371364443846116, std values: 1.0665839946542222, min values: -2.673549169958716, max values: 6.0, median values: 0.4961438215356484, and quantile values: 0.25 -0.219858\n0.50 0.496144\n0.75 1.214188\nName: 13533, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06655730241370653, std values: 1.0132625087735425, min values: -2.579723791499676, max values: 4.0, median values: 0.1538890610161996, and quantile values: 0.25 -0.653555\n0.50 0.153889\n0.75 0.823724\nName: 13534, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1340304652783258, std values: 0.772381082623178, min values: -2.5825978442440407, max values: 6.0, median values: 0.1189745238249982, and quantile values: 0.25 -0.376383\n0.50 0.118975\n0.75 0.602690\nName: 13535, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5703218132827187, std values: 0.8081908485050286, min values: -2.2915911556076085, max values: 3.247416277295021, median values: 0.6101534402987339, and quantile values: 0.25 0.047878\n0.50 0.610153\n0.75 1.099804\nName: 13536, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22148047303912705, std values: 0.9297720529032129, min values: -2.579952672199424, max values: 6.0, median values: 0.1903942287746931, and quantile values: 0.25 -0.421951\n0.50 0.190394\n0.75 0.834121\nName: 13537, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03734329300676744, std values: 0.878336173412178, min values: -2.029837683040523, max values: 5.0, median values: -0.0542515080777027, and quantile values: 0.25 -0.607783\n0.50 -0.054252\n0.75 0.580357\nName: 13538, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10006398645553748, std values: 0.8194038252330013, min values: -2.589966702820638, max values: 6.0, median values: -0.097616438243845, and quantile values: 0.25 -0.664772\n0.50 -0.097616\n0.75 0.423637\nName: 13539, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03935578513576263, std values: 0.8376219778895919, min values: -2.1720539924644524, max values: 5.0, median values: -0.0398583257430044, and quantile values: 0.25 -0.554630\n0.50 -0.039858\n0.75 0.541191\nName: 13540, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16290997421072023, std values: 1.1788214458664106, min values: -3.0148736195915964, max values: 3.319774799707247, median values: -0.034418632922812, and quantile values: 0.25 -0.880541\n0.50 -0.034419\n0.75 0.750678\nName: 13541, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04803027687748543, std values: 1.028875872818668, min values: -2.2423374092797945, max values: 3.362228250221886, median values: -0.0866816176115826, and quantile values: 0.25 -0.913263\n0.50 -0.086682\n0.75 0.698074\nName: 13542, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3078503591379878, std values: 1.2100216028514774, min values: -2.8282523283494294, max values: 3.784832159836258, median values: -0.1523683065545126, and quantile values: 0.25 -1.202076\n0.50 -0.152368\n0.75 0.624250\nName: 13543, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03608857239482251, std values: 0.8149042187169591, min values: -2.073656518453596, max values: 6.0, median values: 0.0189323690189539, and quantile values: 0.25 -0.608759\n0.50 0.018932\n0.75 0.520392\nName: 13544, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34940543425000065, std values: 1.0087526376836646, min values: -1.95668486106376, max values: 3.670892362631932, median values: 0.3627940262747981, and quantile values: 0.25 -0.507694\n0.50 0.362794\n0.75 1.139345\nName: 13545, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07554058761181637, std values: 0.9616882819911723, min values: -2.5122218748354936, max values: 3.045947208515846, median values: -0.1615850788789806, and quantile values: 0.25 -0.701758\n0.50 -0.161585\n0.75 0.562853\nName: 13546, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11088126460386113, std values: 0.8435930331051621, min values: -2.161181455793125, max values: 6.0, median values: 0.0673017755458143, and quantile values: 0.25 -0.459340\n0.50 0.067302\n0.75 0.635042\nName: 13547, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.053998595897970965, std values: 0.8335201714467538, min values: -2.4737574649270093, max values: 3.110498035652072, median values: -0.0021743761242262, and quantile values: 0.25 -0.645488\n0.50 -0.002174\n0.75 0.522731\nName: 13548, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4648882137752904, std values: 0.9912754621054354, min values: -2.5569229852416258, max values: 4.0, median values: 0.4497798550943908, and quantile values: 0.25 -0.256733\n0.50 0.449780\n0.75 1.270672\nName: 13549, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3124094636212638, std values: 0.9194596269856712, min values: -2.933035609461076, max values: 5.0, median values: -0.3399069407923882, and quantile values: 0.25 -0.833251\n0.50 -0.339907\n0.75 0.264254\nName: 13550, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2735102326715912, std values: 1.339211470679873, min values: -2.933035609461076, max values: 5.0, median values: 0.5124618123595986, and quantile values: 0.25 -0.391795\n0.50 0.512462\n0.75 1.217996\nName: 13551, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7490299853899358, std values: 0.9484208507108707, min values: -2.783691185534105, max values: 3.667275230673496, median values: 0.8169185948160097, and quantile values: 0.25 0.125162\n0.50 0.816919\n0.75 1.397353\nName: 13552, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37772952063353743, std values: 0.985467811198776, min values: -2.928515832252388, max values: 3.0, median values: -0.3160730685613946, and quantile values: 0.25 -1.014866\n0.50 -0.316073\n0.75 0.269273\nName: 13553, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2292496679494329, std values: 0.8748827246815064, min values: -2.0814292562355328, max values: 3.1166497049712243, median values: -0.3452804507065511, and quantile values: 0.25 -0.888159\n0.50 -0.345280\n0.75 0.344101\nName: 13554, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.028625731328061423, std values: 0.8950340615644045, min values: -2.5689076212724418, max values: 5.0, median values: -0.0380607394508289, and quantile values: 0.25 -0.648441\n0.50 -0.038061\n0.75 0.564292\nName: 13555, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10909246902359326, std values: 0.9383143434598062, min values: -2.610097161345549, max values: 4.0, median values: 0.1815842234016517, and quantile values: 0.25 -0.405338\n0.50 0.181584\n0.75 0.652532\nName: 13556, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07896363764731262, std values: 0.8083563770355305, min values: -1.8740108789081875, max values: 3.0418703198091483, median values: -0.1887119166192468, and quantile values: 0.25 -0.666958\n0.50 -0.188712\n0.75 0.459687\nName: 13557, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19057065419848535, std values: 0.8970015074492809, min values: -2.713489023463456, max values: 4.0, median values: -0.3146075491910896, and quantile values: 0.25 -0.863205\n0.50 -0.314608\n0.75 0.422734\nName: 13558, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17780529868343514, std values: 0.9666194435227258, min values: -3.760287110694257, max values: 3.1395741599540568, median values: -0.0150793853078676, and quantile values: 0.25 -0.800610\n0.50 -0.015079\n0.75 0.474697\nName: 13559, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.025170950776848226, std values: 1.140063199609919, min values: -2.9029979285382743, max values: 6.0, median values: -0.0374346678154421, and quantile values: 0.25 -0.606989\n0.50 -0.037435\n0.75 0.727196\nName: 13560, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2685804503896035, std values: 1.1302799886581256, min values: -2.634919142586459, max values: 6.0, median values: 0.1909551190234771, and quantile values: 0.25 -0.471032\n0.50 0.190955\n0.75 1.136186\nName: 13561, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6577512668194321, std values: 1.3624312223657835, min values: -3.0484008792629496, max values: 5.0, median values: -0.6602122181964251, and quantile values: 0.25 -1.902481\n0.50 -0.660212\n0.75 0.496331\nName: 13562, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44215485920882125, std values: 1.0575996557097407, min values: -2.7688682710567485, max values: 3.260388056018088, median values: 0.5349521771377035, and quantile values: 0.25 -0.244853\n0.50 0.534952\n0.75 1.274385\nName: 13563, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.314509020595382, std values: 0.9493142114533833, min values: -2.571478354688597, max values: 5.0, median values: 0.3341381896842973, and quantile values: 0.25 -0.332243\n0.50 0.334138\n0.75 0.878253\nName: 13564, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1413788775271166, std values: 0.728636682214962, min values: -2.090851036172633, max values: 5.0, median values: -0.1512207048740811, and quantile values: 0.25 -0.637908\n0.50 -0.151221\n0.75 0.297938\nName: 13565, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5798115425164084, std values: 1.0863364863070353, min values: -2.825926939679757, max values: 3.0, median values: -0.5878620102439223, and quantile values: 0.25 -1.287094\n0.50 -0.587862\n0.75 0.141283\nName: 13566, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41259642001116625, std values: 0.9118266669104648, min values: -2.56026492390943, max values: 4.243835016543704, median values: 0.3797592169149382, and quantile values: 0.25 -0.171833\n0.50 0.379759\n0.75 1.048764\nName: 13567, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3720593248471895, std values: 0.7537615812961814, min values: -2.5743883495350026, max values: 5.0, median values: -0.3724198029289502, and quantile values: 0.25 -0.845828\n0.50 -0.372420\n0.75 0.055824\nName: 13568, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.002958712125450812, std values: 0.8069179668246442, min values: -2.4705236352348297, max values: 3.528773265847577, median values: -0.0454648102306373, and quantile values: 0.25 -0.513028\n0.50 -0.045465\n0.75 0.455095\nName: 13569, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08230979689643542, std values: 0.8379128755554616, min values: -2.1098479262714123, max values: 4.243835016543704, median values: -0.1023215782156511, and quantile values: 0.25 -0.662771\n0.50 -0.102322\n0.75 0.454816\nName: 13570, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.425067109371038, std values: 0.8577871627354562, min values: -2.1112064782498527, max values: 5.0, median values: -0.4872175734965367, and quantile values: 0.25 -1.046856\n0.50 -0.487218\n0.75 0.077504\nName: 13571, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.273938398696727, std values: 0.8376397899681938, min values: -2.1339127560970463, max values: 4.278004674434932, median values: 0.3150342324468527, and quantile values: 0.25 -0.320847\n0.50 0.315034\n0.75 0.881254\nName: 13572, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16744175108346976, std values: 0.8533145840666665, min values: -3.307038206418975, max values: 3.135426854633533, median values: -0.2409731940768241, and quantile values: 0.25 -0.751085\n0.50 -0.240973\n0.75 0.387160\nName: 13573, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04209135470818265, std values: 0.7179054770489776, min values: -2.4536054974529624, max values: 6.0, median values: -0.0609438227448377, and quantile values: 0.25 -0.489206\n0.50 -0.060944\n0.75 0.379720\nName: 13574, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3594203160462822, std values: 1.0775718763108726, min values: -2.960014365184806, max values: 6.0, median values: 0.5673623426497688, and quantile values: 0.25 -0.212116\n0.50 0.567362\n0.75 1.113450\nName: 13575, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17603588734094305, std values: 0.8059538934854924, min values: -2.7648443048846945, max values: 3.4566816047670264, median values: 0.1345210694108, and quantile values: 0.25 -0.352568\n0.50 0.134521\n0.75 0.692837\nName: 13576, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1384790173703475, std values: 0.9330660688091228, min values: -2.7542003929097176, max values: 5.0, median values: -0.1017089175215893, and quantile values: 0.25 -0.813157\n0.50 -0.101709\n0.75 0.569823\nName: 13577, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2613185174904633, std values: 1.069393255925907, min values: -2.815821936576896, max values: 3.306454397423372, median values: -0.1169223893556062, and quantile values: 0.25 -0.811246\n0.50 -0.116922\n0.75 0.467793\nName: 13578, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6216593754385996, std values: 1.000319407463754, min values: -3.3126932323446474, max values: 3.110498035652072, median values: -0.7562027955115437, and quantile values: 0.25 -1.355431\n0.50 -0.756203\n0.75 0.000220\nName: 13579, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3201128448048188, std values: 0.9243141242083392, min values: -2.590643619371846, max values: 4.0, median values: -0.2958170402969541, and quantile values: 0.25 -0.996727\n0.50 -0.295817\n0.75 0.296060\nName: 13580, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15070438599656918, std values: 0.910821379737062, min values: -2.5859127503381347, max values: 3.0, median values: -0.1456732984175573, and quantile values: 0.25 -0.741367\n0.50 -0.145673\n0.75 0.443879\nName: 13581, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23576314432220044, std values: 1.1894877297746043, min values: -2.7510671817729784, max values: 6.0, median values: 0.3989576886432912, and quantile values: 0.25 -0.484124\n0.50 0.398958\n0.75 1.168607\nName: 13582, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39358450673692164, std values: 0.8467486566346607, min values: -2.2477784840641744, max values: 4.0, median values: 0.3433242467546553, and quantile values: 0.25 -0.151269\n0.50 0.343324\n0.75 0.974895\nName: 13583, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22831619766162967, std values: 1.0632762264411502, min values: -2.928515832252388, max values: 5.0, median values: 0.4181007804129388, and quantile values: 0.25 -0.282264\n0.50 0.418101\n0.75 0.950107\nName: 13584, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3287814815695339, std values: 1.0267906140280798, min values: -2.657750824678472, max values: 5.0, median values: -0.459739387332642, and quantile values: 0.25 -1.095338\n0.50 -0.459739\n0.75 0.366376\nName: 13585, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.008789102785297237, std values: 0.7751927339491483, min values: -2.442256129120324, max values: 6.0, median values: -0.059051048702841, and quantile values: 0.25 -0.504206\n0.50 -0.059051\n0.75 0.502355\nName: 13586, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4369848816268077, std values: 0.883791389800571, min values: -2.693453432157769, max values: 3.528773265847577, median values: -0.5301963710975347, and quantile values: 0.25 -1.122590\n0.50 -0.530196\n0.75 0.137488\nName: 13587, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7858378024250082, std values: 1.1189005673291215, min values: -1.9343894681300469, max values: 3.9048392686725855, median values: 0.7679479174573441, and quantile values: 0.25 -0.076855\n0.50 0.767948\n0.75 1.654301\nName: 13588, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5414692306010583, std values: 1.430694936934682, min values: -2.673124659932621, max values: 6.0, median values: 0.5670111673000547, and quantile values: 0.25 -0.336757\n0.50 0.567011\n0.75 1.640291\nName: 13589, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0437842800383997, std values: 0.7551711030777475, min values: -2.6412681606926487, max values: 3.569037956734876, median values: -0.0069399625987978, and quantile values: 0.25 -0.426772\n0.50 -0.006940\n0.75 0.466575\nName: 13590, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5101292385384187, std values: 0.8496083807020807, min values: -2.1227739687253626, max values: 3.017846660960028, median values: 0.6409949600019689, and quantile values: 0.25 -0.087488\n0.50 0.640995\n0.75 1.129075\nName: 13591, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.608975505894959, std values: 0.8386706853169151, min values: -2.5743883495350026, max values: 5.0, median values: -0.6632269182278169, and quantile values: 0.25 -1.198058\n0.50 -0.663227\n0.75 -0.125426\nName: 13592, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1779961109676674, std values: 0.7975948984752861, min values: -2.475272102106495, max values: 4.0, median values: 0.2346033808237774, and quantile values: 0.25 -0.297832\n0.50 0.234603\n0.75 0.648645\nName: 13593, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13587591325250137, std values: 0.8588036859055432, min values: -2.094787931821739, max values: 3.2906806286429298, median values: 0.1548315479494334, and quantile values: 0.25 -0.491595\n0.50 0.154832\n0.75 0.746234\nName: 13594, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2530126475554076, std values: 1.004151641565239, min values: -2.622408470084112, max values: 3.9905524164385566, median values: -0.3578186728981271, and quantile values: 0.25 -0.940647\n0.50 -0.357819\n0.75 0.396451\nName: 13595, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5693623827615335, std values: 1.0022811841487929, min values: -2.981718296512785, max values: 5.0, median values: -0.5743960190878272, and quantile values: 0.25 -1.195596\n0.50 -0.574396\n0.75 0.037966\nName: 13596, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5027798886283003, std values: 1.01600756034094, min values: -2.264034258932616, max values: 3.103622965243153, median values: 0.4575964919208976, and quantile values: 0.25 -0.279256\n0.50 0.457596\n0.75 1.335733\nName: 13597, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3144985694658791, std values: 1.037175606265149, min values: -2.608390851963037, max values: 5.0, median values: 0.3852008269033189, and quantile values: 0.25 -0.353623\n0.50 0.385201\n0.75 1.139980\nName: 13598, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49088985266271085, std values: 1.0610447227917785, min values: -2.620939317041317, max values: 4.0, median values: 0.6206069205823539, and quantile values: 0.25 -0.155621\n0.50 0.620607\n0.75 1.283746\nName: 13599, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06757852817373926, std values: 1.1451100298476669, min values: -2.422675917011138, max values: 5.0, median values: -0.1736224821588646, and quantile values: 0.25 -0.962202\n0.50 -0.173622\n0.75 0.744427\nName: 13600, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1727187192499414, std values: 0.8004869352744156, min values: -2.0893298172807167, max values: 3.455472209455805, median values: -0.2184878804654865, and quantile values: 0.25 -0.742091\n0.50 -0.218488\n0.75 0.314398\nName: 13601, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41627856266712127, std values: 0.8570111531240561, min values: -2.507084845405409, max values: 3.528773265847577, median values: 0.4187171206840933, and quantile values: 0.25 -0.165820\n0.50 0.418717\n0.75 0.967773\nName: 13602, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20980148716770175, std values: 0.8948672207540704, min values: -1.8579724337772536, max values: 3.236860296211547, median values: 0.2322717979576141, and quantile values: 0.25 -0.472359\n0.50 0.232272\n0.75 0.888790\nName: 13603, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03606077583924225, std values: 0.817528115161919, min values: -2.5501488616953263, max values: 3.0774992973297404, median values: -0.0833753787325602, and quantile values: 0.25 -0.587926\n0.50 -0.083375\n0.75 0.446737\nName: 13604, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18397599529224798, std values: 0.968870494092777, min values: -2.837386543755612, max values: 4.0, median values: 0.2632486986441478, and quantile values: 0.25 -0.359728\n0.50 0.263249\n0.75 0.795309\nName: 13605, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17303717664535595, std values: 0.7937901964858577, min values: -1.9555654179151416, max values: 5.0, median values: -0.2549399223275607, and quantile values: 0.25 -0.762449\n0.50 -0.254940\n0.75 0.331225\nName: 13606, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4500576313914303, std values: 1.002845208436573, min values: -2.949186837165601, max values: 4.0, median values: -0.4739980055681593, and quantile values: 0.25 -1.076467\n0.50 -0.473998\n0.75 0.204885\nName: 13607, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4658278539876558, std values: 0.9678771481518093, min values: -2.710223074556336, max values: 4.0, median values: 0.5716699527208616, and quantile values: 0.25 -0.217191\n0.50 0.571670\n0.75 1.190025\nName: 13608, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6682508852458323, std values: 0.8656858655113482, min values: -1.9704691498004627, max values: 3.05919958255637, median values: 0.7258776434497833, and quantile values: 0.25 0.080502\n0.50 0.725878\n0.75 1.342638\nName: 13609, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6393584301722034, std values: 1.0784984717208783, min values: -2.697026421440041, max values: 4.0, median values: -0.5132784773814828, and quantile values: 0.25 -1.485556\n0.50 -0.513278\n0.75 0.098585\nName: 13610, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2759294659315931, std values: 0.8822452184972777, min values: -1.892152494419011, max values: 5.0, median values: 0.2673860195219091, and quantile values: 0.25 -0.392717\n0.50 0.267386\n0.75 0.911378\nName: 13611, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16816535792956397, std values: 0.909681226486478, min values: -2.4960309093026924, max values: 3.455472209455805, median values: -0.2545985496127408, and quantile values: 0.25 -0.893642\n0.50 -0.254599\n0.75 0.472910\nName: 13612, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5431480533467538, std values: 1.0267724711123274, min values: -2.7211321814067784, max values: 3.0, median values: -0.5387373226529582, and quantile values: 0.25 -1.149766\n0.50 -0.538737\n0.75 0.096731\nName: 13613, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35942638854314274, std values: 0.9172865979704076, min values: -2.183189523380203, max values: 3.236860296211547, median values: -0.4584263355697899, and quantile values: 0.25 -1.059008\n0.50 -0.458426\n0.75 0.238589\nName: 13614, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04987077954991543, std values: 0.7750445778213345, min values: -2.1695974540436334, max values: 4.0, median values: 0.0778219610985922, and quantile values: 0.25 -0.447802\n0.50 0.077822\n0.75 0.537200\nName: 13615, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14929572244532577, std values: 0.8118393305806727, min values: -2.5825978442440407, max values: 6.0, median values: -0.1398031128503373, and quantile values: 0.25 -0.729265\n0.50 -0.139803\n0.75 0.392568\nName: 13616, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2882890718834415, std values: 0.8545913958343859, min values: -2.510124273981921, max values: 3.390469008396469, median values: 0.3185379585094299, and quantile values: 0.25 -0.164622\n0.50 0.318538\n0.75 0.838917\nName: 13617, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4602809546285246, std values: 0.8446260373979458, min values: -2.090799501270592, max values: 3.022367128892113, median values: 0.5183116782723254, and quantile values: 0.25 -0.137775\n0.50 0.518312\n0.75 1.131005\nName: 13618, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4000391288190587, std values: 0.8688579007809378, min values: -2.364657968439305, max values: 3.2328207660681025, median values: 0.4699030873823447, and quantile values: 0.25 -0.213160\n0.50 0.469903\n0.75 1.027245\nName: 13619, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2464844316623708, std values: 0.8107134770040195, min values: -2.104667097879677, max values: 4.243835016543704, median values: 0.220196652776705, and quantile values: 0.25 -0.252937\n0.50 0.220197\n0.75 0.713415\nName: 13620, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01806483267496467, std values: 0.8661637352511793, min values: -2.045960343889241, max values: 3.071284484560209, median values: -0.1049795928744258, and quantile values: 0.25 -0.598172\n0.50 -0.104980\n0.75 0.463598\nName: 13621, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1284904761559361, std values: 0.9200756078610595, min values: -1.9604341550668736, max values: 5.0, median values: 0.0223637862307752, and quantile values: 0.25 -0.547482\n0.50 0.022364\n0.75 0.693209\nName: 13622, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16251371774609652, std values: 0.8719332485643265, min values: -2.688157591415518, max values: 5.0, median values: -0.1788249569654501, and quantile values: 0.25 -0.816111\n0.50 -0.178825\n0.75 0.454046\nName: 13623, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06887240473625275, std values: 0.7936029490025136, min values: -2.212004168819108, max values: 3.0, median values: 0.0543618278884857, and quantile values: 0.25 -0.445548\n0.50 0.054362\n0.75 0.594540\nName: 13624, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.028165389534219362, std values: 0.779792669535907, min values: -2.2012167772695554, max values: 3.00464355837442, median values: -0.0190308139989904, and quantile values: 0.25 -0.474553\n0.50 -0.019031\n0.75 0.493900\nName: 13625, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.143587570247633, std values: 1.1933200243447186, min values: -2.727901130262228, max values: 4.0, median values: -1.6942657901348734, and quantile values: 0.25 -2.140406\n0.50 -1.694266\n0.75 -0.081524\nName: 13626, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3333741066215917, std values: 0.8941490425693274, min values: -2.116947891343001, max values: 3.362228250221886, median values: -0.4378088899510233, and quantile values: 0.25 -1.023048\n0.50 -0.437809\n0.75 0.268163\nName: 13627, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.00923114811159956, std values: 0.9147055004664824, min values: -2.475778245535816, max values: 4.0, median values: -0.0343713359456328, and quantile values: 0.25 -0.620922\n0.50 -0.034371\n0.75 0.569369\nName: 13628, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4268156914358718, std values: 1.0467270596903093, min values: -2.6404955031131814, max values: 5.0, median values: 0.45209917359806, and quantile values: 0.25 -0.186777\n0.50 0.452099\n0.75 1.069611\nName: 13629, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10422334317956389, std values: 0.8144735711842855, min values: -2.113406475564999, max values: 3.0, median values: 0.1499298909174735, and quantile values: 0.25 -0.435900\n0.50 0.149930\n0.75 0.642796\nName: 13630, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17748844637101976, std values: 0.8283858806106419, min values: -2.4630208125808344, max values: 5.0, median values: 0.2107099609396396, and quantile values: 0.25 -0.326225\n0.50 0.210710\n0.75 0.685315\nName: 13631, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16524266214905292, std values: 0.9714659081436817, min values: -2.8327898928872086, max values: 4.0, median values: -0.2092646559735853, and quantile values: 0.25 -0.722075\n0.50 -0.209265\n0.75 0.443487\nName: 13632, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24186336052235635, std values: 0.8028983029438024, min values: -2.087432639025188, max values: 4.0, median values: -0.3085292709373656, and quantile values: 0.25 -0.859457\n0.50 -0.308529\n0.75 0.254621\nName: 13633, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2573313239638571, std values: 0.8548866366069731, min values: -2.300042081328127, max values: 4.0, median values: -0.2608333169551825, and quantile values: 0.25 -0.932694\n0.50 -0.260833\n0.75 0.341720\nName: 13634, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40362181731794305, std values: 0.9628020059002739, min values: -2.5743883495350026, max values: 5.0, median values: -0.4655002183329406, and quantile values: 0.25 -1.135978\n0.50 -0.465500\n0.75 0.231085\nName: 13635, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18381425256541947, std values: 0.9113648439378912, min values: -2.6404955031131814, max values: 5.0, median values: -0.2170498550978954, and quantile values: 0.25 -0.779091\n0.50 -0.217050\n0.75 0.406827\nName: 13636, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10292478261755088, std values: 0.8432128363070636, min values: -2.0859873849146404, max values: 6.0, median values: -0.1274029152787449, and quantile values: 0.25 -0.705421\n0.50 -0.127403\n0.75 0.410938\nName: 13637, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3694347582680789, std values: 1.5520135904526466, min values: -2.769191083399913, max values: 4.278004674434932, median values: 0.334368486824505, and quantile values: 0.25 -0.437778\n0.50 0.334368\n0.75 1.327759\nName: 13638, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4902882199783991, std values: 1.1104554318396336, min values: -2.9472833478224456, max values: 6.0, median values: -0.3396163448948117, and quantile values: 0.25 -1.313962\n0.50 -0.339616\n0.75 0.270719\nName: 13639, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3172593902299245, std values: 0.9338883741287304, min values: -2.8327898928872086, max values: 4.0, median values: -0.3491707720664518, and quantile values: 0.25 -1.054464\n0.50 -0.349171\n0.75 0.339191\nName: 13640, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3235509334173206, std values: 0.8877827133634147, min values: -2.72346435408924, max values: 4.0, median values: -0.2921076069710049, and quantile values: 0.25 -0.916647\n0.50 -0.292108\n0.75 0.252665\nName: 13641, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46060926852253387, std values: 0.8917274904189455, min values: -2.506827530467421, max values: 4.0, median values: -0.6431152000936697, and quantile values: 0.25 -1.129317\n0.50 -0.643115\n0.75 0.107140\nName: 13642, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09912072425523946, std values: 0.880704156498416, min values: -2.673549169958716, max values: 6.0, median values: -0.1851527774201361, and quantile values: 0.25 -0.792856\n0.50 -0.185153\n0.75 0.492832\nName: 13643, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4497882210599608, std values: 0.9560043231890392, min values: -2.264647939853905, max values: 3.8226908388056136, median values: -0.5628716256436778, and quantile values: 0.25 -1.248659\n0.50 -0.562872\n0.75 0.245452\nName: 13644, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.1435234014462654, std values: 1.6322073029263553, min values: -3.05087304133376, max values: 5.0, median values: -1.9019763431034724, and quantile values: 0.25 -2.258623\n0.50 -1.901976\n0.75 -0.194599\nName: 13645, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34188652641704015, std values: 0.8366426629100511, min values: -2.638186942019407, max values: 4.0, median values: -0.4565876193516459, and quantile values: 0.25 -0.913837\n0.50 -0.456588\n0.75 0.164622\nName: 13646, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16409089595169313, std values: 0.9083982443578168, min values: -2.6635706018350787, max values: 3.2266531185902125, median values: 0.1333539967946309, and quantile values: 0.25 -0.547001\n0.50 0.133354\n0.75 0.786628\nName: 13647, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2677343659162838, std values: 0.7592040193681697, min values: -2.032068222282746, max values: 5.0, median values: 0.2371985686976158, and quantile values: 0.25 -0.204322\n0.50 0.237199\n0.75 0.708212\nName: 13648, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2841290967300626, std values: 0.8249099414906459, min values: -2.4705236352348297, max values: 3.415255285860171, median values: -0.3985240927909467, and quantile values: 0.25 -0.883977\n0.50 -0.398524\n0.75 0.248376\nName: 13649, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19631867437331763, std values: 0.8667913317917906, min values: -2.245714173337793, max values: 4.0, median values: 0.2560130645056258, and quantile values: 0.25 -0.437003\n0.50 0.256013\n0.75 0.825678\nName: 13650, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6842181750014227, std values: 0.9137415715902826, min values: -2.688157591415518, max values: 5.0, median values: 0.8057809751100858, and quantile values: 0.25 0.045134\n0.50 0.805781\n0.75 1.389907\nName: 13651, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27563883936443623, std values: 1.0387663732220067, min values: -2.981718296512785, max values: 5.0, median values: -0.1721014340680968, and quantile values: 0.25 -0.926541\n0.50 -0.172101\n0.75 0.404853\nName: 13652, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08853970089728315, std values: 0.9339115482522872, min values: -3.24173864501462, max values: 3.434669824302974, median values: 0.0017625169483092, and quantile values: 0.25 -0.674594\n0.50 0.001763\n0.75 0.567428\nName: 13653, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32800408804496073, std values: 1.1090347468477448, min values: -2.657750824678472, max values: 5.0, median values: 0.4721089224195988, and quantile values: 0.25 -0.266536\n0.50 0.472109\n0.75 1.059902\nName: 13654, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4306904715708555, std values: 1.0095508109838403, min values: -2.8843374390620142, max values: 6.0, median values: 0.4729095081218614, and quantile values: 0.25 -0.170447\n0.50 0.472910\n0.75 1.186564\nName: 13655, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4798268408579348, std values: 0.8444991385372214, min values: -2.5774281843044924, max values: 6.0, median values: -0.5969865357194808, and quantile values: 0.25 -1.084868\n0.50 -0.596987\n0.75 -0.005720\nName: 13656, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42210521195916134, std values: 1.5075941950723841, min values: -2.825926939679757, max values: 3.667275230673496, median values: 0.4857606270621989, and quantile values: 0.25 -0.542179\n0.50 0.485761\n0.75 1.690653\nName: 13657, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34965114502014666, std values: 0.8554819081820969, min values: -2.317050356949399, max values: 3.0, median values: 0.4329341307594631, and quantile values: 0.25 -0.294949\n0.50 0.432934\n0.75 1.023654\nName: 13658, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6165360534861729, std values: 0.848217565302774, min values: -2.2477784840641744, max values: 4.0, median values: 0.6836718095319226, and quantile values: 0.25 0.101424\n0.50 0.683672\n0.75 1.198058\nName: 13659, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37268726104146316, std values: 0.866669499490733, min values: -2.1062910125783354, max values: 2.8252593227772445, median values: -0.5368179252440465, and quantile values: 0.25 -1.036905\n0.50 -0.536818\n0.75 0.192161\nName: 13660, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05702160431905392, std values: 0.8109835697786582, min values: -2.179853905073574, max values: 6.0, median values: -0.1662035618401287, and quantile values: 0.25 -0.626348\n0.50 -0.166204\n0.75 0.452404\nName: 13661, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3376477896228947, std values: 0.7881345256706032, min values: -2.622709665346679, max values: 3.2696814875916886, median values: -0.3738725724282202, and quantile values: 0.25 -0.813425\n0.50 -0.373873\n0.75 0.118059\nName: 13662, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0875316411881163, std values: 1.2702519242760848, min values: -2.92272757463548, max values: 6.0, median values: 0.2042943443365224, and quantile values: 0.25 -0.795126\n0.50 0.204294\n0.75 0.813042\nName: 13663, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37480972467843504, std values: 0.7955329589967837, min values: -2.085975048264995, max values: 3.0418703198091483, median values: -0.3841319524378155, and quantile values: 0.25 -1.000727\n0.50 -0.384132\n0.75 0.182212\nName: 13664, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2258175950571173, std values: 0.7636087258414822, min values: -2.5501488616953263, max values: 3.784832159836258, median values: 0.2155498332029599, and quantile values: 0.25 -0.235613\n0.50 0.215550\n0.75 0.685464\nName: 13665, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4919368083927488, std values: 0.98116692567677, min values: -2.7688682710567485, max values: 3.4566816047670264, median values: 0.6578335106917829, and quantile values: 0.25 -0.037919\n0.50 0.657834\n0.75 1.121399\nName: 13666, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13384824768500528, std values: 1.4180754916829503, min values: -2.684072796644972, max values: 6.0, median values: 0.4317548769791484, and quantile values: 0.25 -0.989829\n0.50 0.431755\n0.75 1.303198\nName: 13667, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.369533476964101, std values: 1.1495181845933664, min values: -2.92272757463548, max values: 6.0, median values: -0.3553828560858372, and quantile values: 0.25 -1.116134\n0.50 -0.355383\n0.75 0.332622\nName: 13668, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1951953846288816, std values: 0.7415620475039855, min values: -2.196708653609315, max values: 6.0, median values: 0.1389409468007695, and quantile values: 0.25 -0.313043\n0.50 0.138941\n0.75 0.682255\nName: 13669, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26520720832788613, std values: 0.9753630524603184, min values: -2.3771558481240653, max values: 4.0, median values: -0.3196680903903013, and quantile values: 0.25 -1.069611\n0.50 -0.319668\n0.75 0.448594\nName: 13670, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33003811111237186, std values: 0.8586797397688751, min values: -2.6404955031131814, max values: 6.0, median values: 0.358405363882829, and quantile values: 0.25 -0.186031\n0.50 0.358405\n0.75 0.892927\nName: 13671, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26357335618143646, std values: 0.8952703610630672, min values: -2.2915911556076085, max values: 3.434669824302974, median values: 0.1562668780295394, and quantile values: 0.25 -0.371416\n0.50 0.156267\n0.75 0.859135\nName: 13672, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15831140637549657, std values: 0.8978553393186013, min values: -3.5186644300181262, max values: 3.5581019918925243, median values: 0.2358911546818588, and quantile values: 0.25 -0.466079\n0.50 0.235891\n0.75 0.803911\nName: 13673, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3456632268671749, std values: 1.003404202907153, min values: -2.9472833478224456, max values: 6.0, median values: -0.3406072737302859, and quantile values: 0.25 -0.979544\n0.50 -0.340607\n0.75 0.285680\nName: 13674, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3312026590433227, std values: 1.1638210068717152, min values: -2.679056533720636, max values: 5.0, median values: 0.3090248707540603, and quantile values: 0.25 -0.545464\n0.50 0.309025\n0.75 1.281364\nName: 13675, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05252800027165887, std values: 0.8535486680889622, min values: -2.733804248449497, max values: 3.336438412828754, median values: -0.0054595976540314, and quantile values: 0.25 -0.565293\n0.50 -0.005460\n0.75 0.510233\nName: 13676, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12367040158744977, std values: 0.9044651533633976, min values: -2.862971749830789, max values: 2.862971749830791, median values: 0.2253185272115247, and quantile values: 0.25 -0.462368\n0.50 0.225319\n0.75 0.724402\nName: 13677, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02358268831547055, std values: 1.0057686285799108, min values: -2.64479559868397, max values: 6.0, median values: -0.0556170141136057, and quantile values: 0.25 -0.688384\n0.50 -0.055617\n0.75 0.674950\nName: 13678, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12184158649721544, std values: 0.8242792720769007, min values: -2.662750916816848, max values: 5.0, median values: -0.1520813873803235, and quantile values: 0.25 -0.609043\n0.50 -0.152081\n0.75 0.392670\nName: 13679, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.429717817905022, std values: 0.9752125772556424, min values: -2.4657737907743, max values: 3.0133870328644305, median values: -0.5141878921876827, and quantile values: 0.25 -1.226296\n0.50 -0.514188\n0.75 0.239684\nName: 13680, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20857885388163425, std values: 0.9441441525739381, min values: -2.5624611946462936, max values: 5.0, median values: 0.2144845761130362, and quantile values: 0.25 -0.344854\n0.50 0.214485\n0.75 0.800487\nName: 13681, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11917816343751922, std values: 0.9258116380119401, min values: -2.414039489297912, max values: 6.0, median values: 0.0250909466391698, and quantile values: 0.25 -0.536163\n0.50 0.025091\n0.75 0.713964\nName: 13682, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23207834720044243, std values: 1.2005182597778756, min values: -3.101800431129944, max values: 6.0, median values: 0.3899518095659596, and quantile values: 0.25 -0.467766\n0.50 0.389952\n0.75 1.115253\nName: 13683, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4364132631510513, std values: 0.994304476569003, min values: -3.045947208515832, max values: 6.0, median values: -0.3417748668276206, and quantile values: 0.25 -1.006642\n0.50 -0.341775\n0.75 0.199225\nName: 13684, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2283309855843701, std values: 0.8654385787011356, min values: -1.8847912083521088, max values: 6.0, median values: 0.1561467097872982, and quantile values: 0.25 -0.428040\n0.50 0.156147\n0.75 0.819112\nName: 13685, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44673547600574876, std values: 1.1241615759428607, min values: -2.406541011733012, max values: 4.243835016543704, median values: 0.5273414524477944, and quantile values: 0.25 -0.387595\n0.50 0.527341\n0.75 1.329928\nName: 13686, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5581313127828658, std values: 0.8003121026245701, min values: -2.589966702820638, max values: 6.0, median values: 0.611777035607521, and quantile values: 0.25 0.055380\n0.50 0.611777\n0.75 1.093122\nName: 13687, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.694850451716686, std values: 0.9237118578067718, min values: -2.6899145007874274, max values: 3.1801075704642923, median values: -0.8240891077018995, and quantile values: 0.25 -1.305160\n0.50 -0.824089\n0.75 -0.176251\nName: 13688, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14980235535788541, std values: 0.8975511222513087, min values: -2.0636163886830534, max values: 4.0, median values: 0.2335745140646566, and quantile values: 0.25 -0.500479\n0.50 0.233575\n0.75 0.796067\nName: 13689, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23517793681897614, std values: 0.7856996012681712, min values: -2.1548749249906303, max values: 5.0, median values: -0.3362882240653013, and quantile values: 0.25 -0.797430\n0.50 -0.336288\n0.75 0.265966\nName: 13690, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5046826326820399, std values: 1.0494380468469944, min values: -2.947062251106049, max values: 3.4566816047670264, median values: -0.559201163096118, and quantile values: 0.25 -1.204433\n0.50 -0.559201\n0.75 0.202439\nName: 13691, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1344203681796663, std values: 0.8234713220028624, min values: -2.525881048269423, max values: 3.0, median values: 0.2034220303172116, and quantile values: 0.25 -0.454728\n0.50 0.203422\n0.75 0.706209\nName: 13692, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.028485082975140633, std values: 1.0348970751881348, min values: -2.8246479422601736, max values: 6.0, median values: -0.0412302542611809, and quantile values: 0.25 -0.631441\n0.50 -0.041230\n0.75 0.681911\nName: 13693, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23924304782099576, std values: 1.3287830275302157, min values: -2.769191083399913, max values: 3.3483277116524426, median values: 0.4083678412342647, and quantile values: 0.25 -0.472544\n0.50 0.408368\n0.75 1.242292\nName: 13694, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11209821446736831, std values: 1.0696944791505678, min values: -2.93129584560762, max values: 6.0, median values: 0.0129713801952261, and quantile values: 0.25 -0.669913\n0.50 0.012971\n0.75 0.594093\nName: 13695, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.158716441551162, std values: 1.0810812510623669, min values: -2.8297583842718432, max values: 5.0, median values: -0.053837814656699, and quantile values: 0.25 -0.878836\n0.50 -0.053838\n0.75 0.601578\nName: 13696, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2553463409074736, std values: 0.7748823608383052, min values: -2.7884838087481176, max values: 6.0, median values: 0.3005676118268657, and quantile values: 0.25 -0.241336\n0.50 0.300568\n0.75 0.733341\nName: 13697, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12175433086635726, std values: 0.8810377406277975, min values: -2.5569229852416258, max values: 4.0, median values: 0.0616305118197175, and quantile values: 0.25 -0.469647\n0.50 0.061631\n0.75 0.733308\nName: 13698, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25248789032022706, std values: 0.9715917490758582, min values: -2.607565022042742, max values: 4.0, median values: 0.4006418817202475, and quantile values: 0.25 -0.348820\n0.50 0.400642\n0.75 0.942482\nName: 13699, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37035112587078634, std values: 1.0594616202864535, min values: -2.679056533720636, max values: 5.0, median values: -0.3219917591744344, and quantile values: 0.25 -0.991581\n0.50 -0.321992\n0.75 0.314285\nName: 13700, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11346149466544606, std values: 0.9645485284663611, min values: -2.5859127503381347, max values: 3.4217036547572275, median values: -0.1037058694557993, and quantile values: 0.25 -0.808336\n0.50 -0.103706\n0.75 0.647626\nName: 13701, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.003990832808045074, std values: 0.9487585630859824, min values: -2.8663054413554843, max values: 6.0, median values: -0.0876543207449306, and quantile values: 0.25 -0.580350\n0.50 -0.087654\n0.75 0.545596\nName: 13702, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3665329707569949, std values: 1.0478647244604011, min values: -2.6685266729136536, max values: 6.0, median values: 0.3943236257525502, and quantile values: 0.25 -0.376082\n0.50 0.394324\n0.75 1.070674\nName: 13703, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4047078023098649, std values: 1.1398814232809271, min values: -2.673124659932621, max values: 6.0, median values: 0.5550159338496118, and quantile values: 0.25 -0.360404\n0.50 0.555016\n0.75 1.296021\nName: 13704, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21870999170548375, std values: 0.8662922028151249, min values: -2.542889966859849, max values: 6.0, median values: -0.2125512402644409, and quantile values: 0.25 -0.862286\n0.50 -0.212551\n0.75 0.356380\nName: 13705, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09384782805503386, std values: 0.7557560159260405, min values: -1.923067727477112, max values: 3.3636961113187773, median values: 0.0737896494323058, and quantile values: 0.25 -0.394800\n0.50 0.073790\n0.75 0.539222\nName: 13706, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29707726157939246, std values: 0.9240375294734561, min values: -2.64479559868397, max values: 6.0, median values: 0.3931293937612796, and quantile values: 0.25 -0.242871\n0.50 0.393129\n0.75 0.894200\nName: 13707, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27499186846424584, std values: 1.043670047349762, min values: -2.6466193392086392, max values: 4.0, median values: 0.3686564815908541, and quantile values: 0.25 -0.269505\n0.50 0.368656\n0.75 0.959973\nName: 13708, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07906085042133792, std values: 0.7484290920197189, min values: -1.9482339443504304, max values: 6.0, median values: -0.1234247879130033, and quantile values: 0.25 -0.573747\n0.50 -0.123425\n0.75 0.373594\nName: 13709, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.041261496575980786, std values: 0.7945875417468026, min values: -2.110869107491898, max values: 4.0, median values: 0.0611478201685415, and quantile values: 0.25 -0.520646\n0.50 0.061148\n0.75 0.575051\nName: 13710, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.143227978669633, std values: 1.14870984363071, min values: -2.949186837165601, max values: 4.0, median values: -0.0750627121606928, and quantile values: 0.25 -0.779466\n0.50 -0.075063\n0.75 0.629896\nName: 13711, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30572148651617703, std values: 0.8757750214641246, min values: -2.4176069991382847, max values: 6.0, median values: 0.3608737821818382, and quantile values: 0.25 -0.242579\n0.50 0.360874\n0.75 0.881700\nName: 13712, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05986535760560839, std values: 1.0647655907049955, min values: -2.90140378513671, max values: 3.438667023696733, median values: 0.0213199380445933, and quantile values: 0.25 -0.586971\n0.50 0.021320\n0.75 0.787627\nName: 13713, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2362714200966767, std values: 1.069024329372164, min values: -2.497627580948261, max values: 3.0, median values: 0.3001354628940246, and quantile values: 0.25 -0.493771\n0.50 0.300135\n0.75 1.103604\nName: 13714, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2480670621134102, std values: 0.8994586660399179, min values: -1.995451107828815, max values: 2.885854600688925, median values: 0.1488305057482441, and quantile values: 0.25 -0.430878\n0.50 0.148831\n0.75 0.860530\nName: 13715, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11036770125921823, std values: 0.8128388634715226, min values: -2.100754849305273, max values: 2.7650700730033, median values: 0.1829680143146799, and quantile values: 0.25 -0.480623\n0.50 0.182968\n0.75 0.687828\nName: 13716, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.025315964073703946, std values: 1.1565874096706312, min values: -2.825926939679757, max values: 3.496479817235339, median values: 0.0426713420310847, and quantile values: 0.25 -0.683680\n0.50 0.042671\n0.75 0.633931\nName: 13717, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7243101217513035, std values: 0.9244414244109534, min values: -2.6635706018350787, max values: 3.050873041333768, median values: 0.8342662599617442, and quantile values: 0.25 0.100910\n0.50 0.834266\n0.75 1.438290\nName: 13718, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34360213104697424, std values: 0.8521548144559008, min values: -2.271143658239337, max values: 6.0, median values: -0.4257469545883982, and quantile values: 0.25 -0.952187\n0.50 -0.425747\n0.75 0.180647\nName: 13719, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09148895561032123, std values: 1.031102006403093, min values: -2.657750824678472, max values: 5.0, median values: 0.2577004464585788, and quantile values: 0.25 -0.530033\n0.50 0.257700\n0.75 0.825185\nName: 13720, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19991643196637562, std values: 0.9664233779204824, min values: -2.087432639025188, max values: 5.0, median values: 0.1265496399785146, and quantile values: 0.25 -0.547550\n0.50 0.126550\n0.75 0.920805\nName: 13721, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27351961808008435, std values: 0.8452697375720655, min values: -2.264034258932616, max values: 3.438667023696733, median values: -0.4041839853254136, and quantile values: 0.25 -0.891881\n0.50 -0.404184\n0.75 0.276141\nName: 13722, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20856979444702367, std values: 0.8781395794564789, min values: -2.6117120822772133, max values: 5.0, median values: 0.2587248365027491, and quantile values: 0.25 -0.423391\n0.50 0.258725\n0.75 0.817842\nName: 13723, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21521477950267737, std values: 0.9775293529542024, min values: -2.632854336056873, max values: 3.2071942083719924, median values: -0.1457011315446115, and quantile values: 0.25 -0.832349\n0.50 -0.145701\n0.75 0.450056\nName: 13724, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8417071943307654, std values: 1.0271049573639521, min values: -2.6117120822772133, max values: 5.0, median values: 0.9829729688437956, and quantile values: 0.25 0.300310\n0.50 0.982973\n0.75 1.601669\nName: 13725, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1434326213340583, std values: 0.8032274155477993, min values: -2.196708653609315, max values: 6.0, median values: 0.0635249781702141, and quantile values: 0.25 -0.364403\n0.50 0.063525\n0.75 0.637053\nName: 13726, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.00380220837275578, std values: 1.1762618941091671, min values: -2.9622221028070275, max values: 6.0, median values: -0.0650937975095916, and quantile values: 0.25 -0.830645\n0.50 -0.065094\n0.75 0.759837\nName: 13727, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15844399793375263, std values: 1.1444388928582045, min values: -2.687115288423959, max values: 5.0, median values: 0.0284597847882036, and quantile values: 0.25 -0.591976\n0.50 0.028460\n0.75 0.841150\nName: 13728, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07422752891747045, std values: 0.9749982705456745, min values: -2.5859127503381347, max values: 3.3337116327022187, median values: -0.0883231198659952, and quantile values: 0.25 -0.663773\n0.50 -0.088323\n0.75 0.592911\nName: 13729, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27268724992805204, std values: 0.7885511690706601, min values: -2.322735534389775, max values: 5.0, median values: -0.376614489007531, and quantile values: 0.25 -0.841817\n0.50 -0.376614\n0.75 0.219616\nName: 13730, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16423422909409005, std values: 1.0056637498107546, min values: -2.933035609461076, max values: 5.0, median values: -0.1497625815170636, and quantile values: 0.25 -0.733632\n0.50 -0.149763\n0.75 0.475498\nName: 13731, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2824487512256471, std values: 0.8911113479266222, min values: -2.947062251106049, max values: 3.3636961113187773, median values: -0.4135368091097087, and quantile values: 0.25 -0.877689\n0.50 -0.413537\n0.75 0.263313\nName: 13732, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3207235699039681, std values: 0.8271270366543505, min values: -2.8451834694312192, max values: 3.336438412828754, median values: -0.4143351501012561, and quantile values: 0.25 -0.903018\n0.50 -0.414335\n0.75 0.217340\nName: 13733, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08957775179720069, std values: 0.7290564700864826, min values: -2.476285024008804, max values: 3.0362913622068968, median values: 0.0776562251744462, and quantile values: 0.25 -0.376079\n0.50 0.077656\n0.75 0.524653\nName: 13734, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27310346498987476, std values: 1.0149293330017446, min values: -2.1754302383979485, max values: 5.0, median values: 0.248316859936808, and quantile values: 0.25 -0.484583\n0.50 0.248317\n0.75 1.024771\nName: 13735, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6443212766927291, std values: 0.9467640201756494, min values: -2.2398683045325223, max values: 3.760287110694155, median values: 0.6014645799074239, and quantile values: 0.25 0.029784\n0.50 0.601465\n0.75 1.268268\nName: 13736, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07311991424673099, std values: 0.8015877407097202, min values: -2.841647375415054, max values: 5.0, median values: 0.0290508917420809, and quantile values: 0.25 -0.431549\n0.50 0.029051\n0.75 0.536224\nName: 13737, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.47142120365397816, std values: 0.9384121883427786, min values: -2.6270253558526173, max values: 4.0, median values: -0.4568517158399676, and quantile values: 0.25 -1.050244\n0.50 -0.456852\n0.75 0.078974\nName: 13738, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.648531676455302, std values: 1.1118703424853023, min values: -2.981718296512785, max values: 5.0, median values: -0.7512731891363619, and quantile values: 0.25 -1.557032\n0.50 -0.751273\n0.75 0.183948\nName: 13739, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29071618496288465, std values: 0.8528541431795926, min values: -2.610097161345549, max values: 4.0, median values: -0.2391974270416779, and quantile values: 0.25 -0.854365\n0.50 -0.239197\n0.75 0.241620\nName: 13740, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3795606358600755, std values: 0.936929177291194, min values: -2.955641696055872, max values: 3.281452258958016, median values: 0.5171151083654231, and quantile values: 0.25 -0.140829\n0.50 0.517115\n0.75 1.032547\nName: 13741, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3105684604939545, std values: 1.2033931776370197, min values: -2.8834699678265463, max values: 5.0, median values: 0.4451554391533331, and quantile values: 0.25 -0.409880\n0.50 0.445155\n0.75 1.263746\nName: 13742, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22440617022848808, std values: 0.9966641143775794, min values: -2.5953860446419177, max values: 3.0, median values: 0.3421211691907221, and quantile values: 0.25 -0.421680\n0.50 0.342121\n0.75 0.980040\nName: 13743, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9550143696339838, std values: 1.4299828756633555, min values: -2.727901130262228, max values: 4.0, median values: -1.7982462604409737, and quantile values: 0.25 -2.167328\n0.50 -1.798246\n0.75 0.514630\nName: 13744, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.082795432075051, std values: 0.887851209841626, min values: -2.196708653609315, max values: 6.0, median values: 0.136557985264228, and quantile values: 0.25 -0.565152\n0.50 0.136558\n0.75 0.740063\nName: 13745, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19572489508563373, std values: 0.8705765443976015, min values: -2.6682522942394846, max values: 3.397048482165858, median values: -0.2424332975340196, and quantile values: 0.25 -0.745644\n0.50 -0.242433\n0.75 0.317738\nName: 13746, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09099501166999828, std values: 1.1262795156950833, min values: -2.688157591415518, max values: 5.0, median values: 0.2466218049479161, and quantile values: 0.25 -0.650822\n0.50 0.246622\n0.75 0.936645\nName: 13747, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1668939296703404, std values: 0.7496494019014532, min values: -1.943410324985109, max values: 6.0, median values: 0.1435989189466319, and quantile values: 0.25 -0.305671\n0.50 0.143599\n0.75 0.633611\nName: 13748, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06673684636996188, std values: 0.8288634520261094, min values: -2.2915911556076085, max values: 3.191712471143802, median values: 0.0830050584990425, and quantile values: 0.25 -0.528511\n0.50 0.083005\n0.75 0.615753\nName: 13749, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.298878414898224, std values: 0.9974531438385642, min values: -2.7314147016889114, max values: 3.5021977227593246, median values: 0.2880577006108245, and quantile values: 0.25 -0.365728\n0.50 0.288058\n0.75 0.918187\nName: 13750, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23894660121846575, std values: 1.0373288371807075, min values: -2.497627580948261, max values: 3.397048482165858, median values: -0.2592136458422556, and quantile values: 0.25 -1.067856\n0.50 -0.259214\n0.75 0.500586\nName: 13751, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2373839290138566, std values: 0.8617348618804614, min values: -2.052706238094415, max values: 6.0, median values: -0.3402570864007604, and quantile values: 0.25 -0.900498\n0.50 -0.340257\n0.75 0.306596\nName: 13752, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2361605741143201, std values: 0.9359896643173419, min values: -2.8563982925340614, max values: 4.0, median values: -0.2072841330072663, and quantile values: 0.25 -0.817304\n0.50 -0.207284\n0.75 0.350402\nName: 13753, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1817347550097967, std values: 1.0141569088907125, min values: -2.673549169958716, max values: 6.0, median values: -0.1664911271705171, and quantile values: 0.25 -0.958839\n0.50 -0.166491\n0.75 0.629023\nName: 13754, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20960728239009438, std values: 0.9019585423252989, min values: -2.349293916724472, max values: 3.0, median values: 0.2382976690417417, and quantile values: 0.25 -0.425898\n0.50 0.238298\n0.75 0.921109\nName: 13755, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23543454305668263, std values: 0.9346027434788353, min values: -2.140398613737501, max values: 5.0, median values: -0.2928261738877528, and quantile values: 0.25 -0.963515\n0.50 -0.292826\n0.75 0.405390\nName: 13756, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1221693481692525, std values: 0.8493926034943555, min values: -2.043287858674072, max values: 4.0, median values: -0.2216497547972023, and quantile values: 0.25 -0.790557\n0.50 -0.221650\n0.75 0.460554\nName: 13757, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.544020848334516, std values: 0.9462023008925167, min values: -2.7648443048846945, max values: 3.3014869995452325, median values: 0.6273788950130347, and quantile values: 0.25 -0.135772\n0.50 0.627379\n0.75 1.321112\nName: 13758, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9451015534339695, std values: 1.3756003574089135, min values: -2.727901130262228, max values: 4.0, median values: -1.5870360561246777, and quantile values: 0.25 -2.140406\n0.50 -1.587036\n0.75 0.212963\nName: 13759, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1629755101713971, std values: 0.9944696608624507, min values: -2.6635706018350787, max values: 3.0362913622068968, median values: 0.2266908212792687, and quantile values: 0.25 -0.515105\n0.50 0.226691\n0.75 0.918836\nName: 13760, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1320639868659956, std values: 0.7567401442347479, min values: -2.034308917749128, max values: 4.0, median values: -0.14940395207215, and quantile values: 0.25 -0.634368\n0.50 -0.149404\n0.75 0.315502\nName: 13761, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07057047776013294, std values: 0.859215545045, min values: -2.688157591415518, max values: 5.0, median values: -0.0496055269843065, and quantile values: 0.25 -0.503501\n0.50 -0.049606\n0.75 0.595112\nName: 13762, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5804286968829273, std values: 0.8788933769647314, min values: -2.082591134335169, max values: 5.0, median values: 0.5728377455323036, and quantile values: 0.25 0.017599\n0.50 0.572838\n0.75 1.143063\nName: 13763, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1514768077261813, std values: 0.973174268040077, min values: -2.837386543755612, max values: 5.0, median values: -0.2712758726381933, and quantile values: 0.25 -0.887238\n0.50 -0.271276\n0.75 0.500783\nName: 13764, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5430460339997594, std values: 0.9420604429615455, min values: -2.1073045553985543, max values: 3.0, median values: -0.6413432945195738, and quantile values: 0.25 -1.337581\n0.50 -0.641343\n0.75 0.085669\nName: 13765, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05709114386440652, std values: 0.8871887223355577, min values: -2.129106615513547, max values: 5.0, median values: 0.0180104660520308, and quantile values: 0.25 -0.639225\n0.50 0.018010\n0.75 0.686710\nName: 13766, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13237688288707944, std values: 0.9265830577004878, min values: -2.6635706018350787, max values: 3.2071942083719924, median values: 0.2231033249834101, and quantile values: 0.25 -0.433993\n0.50 0.223103\n0.75 0.801790\nName: 13767, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2669874941915396, std values: 0.9794217000294982, min values: -2.497627580948261, max values: 3.0, median values: -0.1836681633045366, and quantile values: 0.25 -0.918800\n0.50 -0.183668\n0.75 0.447072\nName: 13768, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28599857535969037, std values: 1.0402296562707214, min values: -2.608390851963037, max values: 5.0, median values: -0.2990001402737433, and quantile values: 0.25 -0.969314\n0.50 -0.299000\n0.75 0.434144\nName: 13769, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17951798089416693, std values: 0.7913284445127232, min values: -2.066019572692439, max values: 3.721862465295849, median values: 0.1659878968627836, and quantile values: 0.25 -0.340666\n0.50 0.165988\n0.75 0.650584\nName: 13770, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35862103171714543, std values: 0.9036625895671246, min values: -2.919359491767569, max values: 6.0, median values: 0.3389150876753953, and quantile values: 0.25 -0.215356\n0.50 0.338915\n0.75 0.978741\nName: 13771, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.002184234091104319, std values: 0.9184194244012962, min values: -2.623568901859613, max values: 4.0, median values: 0.038592155022115, and quantile values: 0.25 -0.604271\n0.50 0.038592\n0.75 0.619433\nName: 13772, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18755937677508588, std values: 0.9326238485353858, min values: -2.349293916724472, max values: 3.1485882570365185, median values: -0.2651951228594467, and quantile values: 0.25 -0.957792\n0.50 -0.265195\n0.75 0.506943\nName: 13773, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29047973074826694, std values: 0.9856175137085479, min values: -2.146424125626329, max values: 3.598076523509904, median values: -0.3497491091365456, and quantile values: 0.25 -1.111914\n0.50 -0.349749\n0.75 0.405242\nName: 13774, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24176099515233432, std values: 0.7577820341428443, min values: -2.282507265897526, max values: 4.0, median values: -0.2873300884573296, and quantile values: 0.25 -0.744458\n0.50 -0.287330\n0.75 0.179590\nName: 13775, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38172902814000886, std values: 0.9463089053615413, min values: -2.838932175687192, max values: 4.0, median values: -0.4941934732310254, and quantile values: 0.25 -1.106495\n0.50 -0.494193\n0.75 0.263484\nName: 13776, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06584888008413116, std values: 0.889523335736995, min values: -1.9684966728838769, max values: 3.405671179043623, median values: -0.058223447728533, and quantile values: 0.25 -0.542147\n0.50 -0.058223\n0.75 0.587195\nName: 13777, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41023531834070653, std values: 0.7917678281758284, min values: -1.873190589715117, max values: 3.5581019918925243, median values: 0.4485249970763655, and quantile values: 0.25 -0.149460\n0.50 0.448525\n0.75 1.004478\nName: 13778, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.037945218370285444, std values: 1.018555153163803, min values: -2.769191083399913, max values: 3.397048482165858, median values: -0.0100520185451196, and quantile values: 0.25 -0.563001\n0.50 -0.010052\n0.75 0.604838\nName: 13779, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37220496140720155, std values: 0.7964707852601451, min values: -2.1073045553985543, max values: 4.0, median values: 0.4373238368724376, and quantile values: 0.25 -0.138753\n0.50 0.437324\n0.75 0.889141\nName: 13780, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.062259236547880105, std values: 0.9652359719566997, min values: -2.4705236352348297, max values: 3.250922035035844, median values: -0.1786536584335213, and quantile values: 0.25 -0.848943\n0.50 -0.178654\n0.75 0.631186\nName: 13781, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2626428003936513, std values: 0.7819728709869336, min values: -2.6635706018350787, max values: 3.055874031381882, median values: 0.2463860134745504, and quantile values: 0.25 -0.230500\n0.50 0.246386\n0.75 0.714874\nName: 13782, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21780389027205332, std values: 0.9394146918716948, min values: -2.949186837165601, max values: 4.0, median values: -0.2323577486311847, and quantile values: 0.25 -0.836533\n0.50 -0.232358\n0.75 0.394353\nName: 13783, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02524031120986914, std values: 0.8335721075297245, min values: -3.071284484560209, max values: 3.5581019918925243, median values: 0.1282845674843367, and quantile values: 0.25 -0.509769\n0.50 0.128285\n0.75 0.568171\nName: 13784, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07128150913026486, std values: 0.8583765173504129, min values: -2.0198682482092503, max values: 3.110498035652072, median values: -0.0132192552661996, and quantile values: 0.25 -0.523490\n0.50 -0.013219\n0.75 0.662712\nName: 13785, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03520036998757226, std values: 0.7932610745557482, min values: -2.0567990530927305, max values: 4.0, median values: 0.0885321971838309, and quantile values: 0.25 -0.511677\n0.50 0.088532\n0.75 0.557157\nName: 13786, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19080552681263416, std values: 0.7727300993130827, min values: -1.909594423023917, max values: 3.066111439712683, median values: 0.1960923365597442, and quantile values: 0.25 -0.306472\n0.50 0.196092\n0.75 0.676940\nName: 13787, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4218954864686716, std values: 0.8064671067092932, min values: -2.564449278715455, max values: 3.0, median values: 0.469770480434206, and quantile values: 0.25 -0.112572\n0.50 0.469770\n0.75 1.005222\nName: 13788, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1963969677977232, std values: 1.0134890319810994, min values: -2.3202898421029765, max values: 3.670892362631932, median values: -0.1665814293780524, and quantile values: 0.25 -1.057642\n0.50 -0.166581\n0.75 0.568122\nName: 13789, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3254173748395287, std values: 1.0924396095900686, min values: -2.63315074164461, max values: 6.0, median values: 0.304603721810284, and quantile values: 0.25 -0.303031\n0.50 0.304604\n0.75 1.084996\nName: 13790, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5353396800318858, std values: 0.9952774870102362, min values: -2.558791007225312, max values: 3.0, median values: -0.6198620952984912, and quantile values: 0.25 -1.196466\n0.50 -0.619862\n0.75 0.111645\nName: 13791, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13298226903546695, std values: 0.8907151508972201, min values: -2.6320986139293034, max values: 3.2936960268109283, median values: -0.0336869501715231, and quantile values: 0.25 -0.672844\n0.50 -0.033687\n0.75 0.437471\nName: 13792, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5609688476583737, std values: 1.249139609380175, min values: -2.5122218748354936, max values: 3.760287110694155, median values: 0.8176340793169765, and quantile values: 0.25 -0.195081\n0.50 0.817634\n0.75 1.486048\nName: 13793, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0507298151767644, std values: 0.8152929608043493, min values: -2.5351744724125003, max values: 3.0651860794139534, median values: 0.069233463970771, and quantile values: 0.25 -0.511331\n0.50 0.069233\n0.75 0.572384\nName: 13794, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1573170912854096, std values: 0.7331609192769306, min values: -1.9839237799337628, max values: 3.025409039429847, median values: 0.1372171545009761, and quantile values: 0.25 -0.293888\n0.50 0.137217\n0.75 0.608048\nName: 13795, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14929577259041477, std values: 0.9796431950849173, min values: -2.788272971802125, max values: 6.0, median values: 0.0137700916874256, and quantile values: 0.25 -0.481365\n0.50 0.013770\n0.75 0.559450\nName: 13796, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.009865757563443477, std values: 0.8979308841691879, min values: -2.891990595045606, max values: 6.0, median values: 0.0229973533768487, and quantile values: 0.25 -0.476512\n0.50 0.022997\n0.75 0.569372\nName: 13797, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41644273745252697, std values: 0.7859848137349218, min values: -2.010560049624786, max values: 4.0, median values: 0.427401759432618, and quantile values: 0.25 -0.088319\n0.50 0.427402\n0.75 0.937562\nName: 13798, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15652595563091806, std values: 0.9572308577404476, min values: -2.1259296353090704, max values: 3.496479817235339, median values: -0.2203903727843424, and quantile values: 0.25 -0.937812\n0.50 -0.220390\n0.75 0.469824\nName: 13799, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3755405877919678, std values: 0.904446675571008, min values: -2.150558549552704, max values: 4.0, median values: 0.452892383058236, and quantile values: 0.25 -0.266602\n0.50 0.452892\n0.75 1.044095\nName: 13800, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01599237425054151, std values: 0.797050086744155, min values: -2.7510671817729784, max values: 6.0, median values: 0.0838451863293978, and quantile values: 0.25 -0.414876\n0.50 0.083845\n0.75 0.462770\nName: 13801, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24606695064019513, std values: 0.9486845085381694, min values: -2.6652153608723106, max values: 5.0, median values: -0.2513854054030544, and quantile values: 0.25 -0.826336\n0.50 -0.251385\n0.75 0.317582\nName: 13802, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21463289141579808, std values: 0.850637753102198, min values: -2.572123985342288, max values: 4.0, median values: -0.288603155855902, and quantile values: 0.25 -0.859813\n0.50 -0.288603\n0.75 0.326748\nName: 13803, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3294203448066872, std values: 1.1803593312773253, min values: -3.496479817235349, max values: 3.191712471143802, median values: 0.4085219842417166, and quantile values: 0.25 -0.573747\n0.50 0.408522\n0.75 1.313402\nName: 13804, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3597021498251724, std values: 1.0591820430152723, min values: -2.39180940730784, max values: 4.0, median values: -0.4334950124718728, and quantile values: 0.25 -1.291696\n0.50 -0.433495\n0.75 0.387646\nName: 13805, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12758269740355138, std values: 0.8564903369648763, min values: -2.641174291463747, max values: 6.0, median values: -0.118329912739221, and quantile values: 0.25 -0.609573\n0.50 -0.118330\n0.75 0.340343\nName: 13806, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20429651099655308, std values: 0.8805836793887797, min values: -2.6404955031131814, max values: 6.0, median values: 0.1075275528412728, and quantile values: 0.25 -0.447663\n0.50 0.107528\n0.75 0.831033\nName: 13807, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7408460075451533, std values: 1.1977671101044767, min values: -2.2159134657334265, max values: 4.0, median values: 0.690480082072497, and quantile values: 0.25 -0.163427\n0.50 0.690480\n0.75 1.768391\nName: 13808, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.358247740020234, std values: 0.9070448539691843, min values: -2.1519703158873136, max values: 2.917687790776004, median values: 0.3550015338961313, and quantile values: 0.25 -0.306894\n0.50 0.355002\n0.75 1.068203\nName: 13809, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.042664275850412284, std values: 1.2404260892187555, min values: -2.618746139350171, max values: 4.026668017837955, median values: -0.2118744040147675, and quantile values: 0.25 -1.062077\n0.50 -0.211874\n0.75 0.889773\nName: 13810, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5762195493855893, std values: 0.8952455540248401, min values: -2.02927552142332, max values: 3.250922035035844, median values: 0.6757349133572639, and quantile values: 0.25 -0.009116\n0.50 0.675735\n0.75 1.162090\nName: 13811, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3019929703761773, std values: 1.0495402013322477, min values: -2.8327898928872086, max values: 4.0, median values: -0.3059770843732203, and quantile values: 0.25 -0.898727\n0.50 -0.305977\n0.75 0.387467\nName: 13812, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2233536535465262, std values: 0.8084321030568962, min values: -2.579952672199424, max values: 6.0, median values: -0.3261380236719579, and quantile values: 0.25 -0.788110\n0.50 -0.326138\n0.75 0.273073\nName: 13813, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36483857979833284, std values: 0.7798385402323177, min values: -2.148081053432388, max values: 5.0, median values: -0.4186655214881571, and quantile values: 0.25 -0.915597\n0.50 -0.418666\n0.75 0.087275\nName: 13814, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13003121603038417, std values: 0.8228713380410637, min values: -2.688157591415518, max values: 5.0, median values: 0.1557843177748777, and quantile values: 0.25 -0.425566\n0.50 0.155784\n0.75 0.657610\nName: 13815, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33347456806302145, std values: 0.8530560624339734, min values: -2.5825978442440407, max values: 6.0, median values: 0.3758163997292984, and quantile values: 0.25 -0.246183\n0.50 0.375816\n0.75 0.967290\nName: 13816, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24238774750847794, std values: 0.9595676567682496, min values: -2.7648443048846945, max values: 3.518664430018096, median values: 0.1366534095026484, and quantile values: 0.25 -0.464150\n0.50 0.136653\n0.75 0.917863\nName: 13817, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5350008117054184, std values: 0.8624445864496911, min values: -2.801183634509044, max values: 5.0, median values: 0.6121475550739797, and quantile values: 0.25 -0.076828\n0.50 0.612148\n0.75 1.213153\nName: 13818, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5474329705790534, std values: 0.8121904253999263, min values: -2.687115288423959, max values: 5.0, median values: 0.5880256866667397, and quantile values: 0.25 0.068499\n0.50 0.588026\n0.75 1.088241\nName: 13819, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24466841488150215, std values: 0.880029457942338, min values: -2.162123508609361, max values: 5.0, median values: 0.3301777526710148, and quantile values: 0.25 -0.341191\n0.50 0.330178\n0.75 0.852706\nName: 13820, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06120517606515445, std values: 1.0391388355883726, min values: -2.6466193392086392, max values: 4.0, median values: -0.0456540825975876, and quantile values: 0.25 -0.669933\n0.50 -0.045654\n0.75 0.654843\nName: 13821, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18360961436829853, std values: 0.8838985000278838, min values: -2.6404955031131814, max values: 5.0, median values: 0.28917741205339, and quantile values: 0.25 -0.339366\n0.50 0.289177\n0.75 0.781443\nName: 13822, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.018844424045552144, std values: 0.7494654283426061, min values: -2.6652153608723106, max values: 3.0, median values: 0.0572267207440596, and quantile values: 0.25 -0.481017\n0.50 0.057227\n0.75 0.517184\nName: 13823, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5590742326391944, std values: 0.9792519001996995, min values: -2.3479910955456123, max values: 4.0, median values: -0.7218606827111965, and quantile values: 0.25 -1.396726\n0.50 -0.721861\n0.75 0.104232\nName: 13824, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44440214012277635, std values: 0.9149124416203518, min values: -2.164983805198548, max values: 6.0, median values: -0.5749116738834708, and quantile values: 0.25 -1.166636\n0.50 -0.574912\n0.75 0.139803\nName: 13825, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3161240111984769, std values: 0.8650482977213318, min values: -2.8327898928872086, max values: 4.0, median values: -0.368850624259051, and quantile values: 0.25 -0.857941\n0.50 -0.368851\n0.75 0.208880\nName: 13826, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23747696966678467, std values: 0.8869216030052471, min values: -2.4564928597243227, max values: 4.0, median values: 0.1665630206534535, and quantile values: 0.25 -0.361109\n0.50 0.166563\n0.75 0.849180\nName: 13827, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01740657996806177, std values: 0.7660088640430331, min values: -2.6899145007874274, max values: 3.0, median values: 0.0036633563859954, and quantile values: 0.25 -0.488194\n0.50 0.003663\n0.75 0.473073\nName: 13828, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5502605381854055, std values: 0.8116036284419537, min values: -2.1855009344627385, max values: 6.0, median values: -0.6880673652988584, and quantile values: 0.25 -1.147069\n0.50 -0.688067\n0.75 -0.053755\nName: 13829, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.291922342823568, std values: 0.7913859067687566, min values: -2.1238235090034925, max values: 3.9048392686725855, median values: -0.3998023767794709, and quantile values: 0.25 -0.871383\n0.50 -0.399802\n0.75 0.238615\nName: 13830, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08837186017296127, std values: 0.718512545358027, min values: -2.0366697630595785, max values: 6.0, median values: 0.084784857149159, and quantile values: 0.25 -0.354326\n0.50 0.084785\n0.75 0.488886\nName: 13831, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1412613329590039, std values: 0.8612070043971085, min values: -2.7211321814067784, max values: 3.260388056018088, median values: -0.1559558626262318, and quantile values: 0.25 -0.618145\n0.50 -0.155956\n0.75 0.351710\nName: 13832, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05647437790000565, std values: 0.7124503112677498, min values: -2.076097537486946, max values: 3.4217036547572275, median values: -0.1373839552100811, and quantile values: 0.25 -0.521566\n0.50 -0.137384\n0.75 0.365227\nName: 13833, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12602655839766158, std values: 1.3153919295323213, min values: -2.5743883495350026, max values: 5.0, median values: -0.0676699277256847, and quantile values: 0.25 -0.870071\n0.50 -0.067670\n0.75 0.872355\nName: 13834, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45725613261314263, std values: 0.8515416677490801, min values: -1.8433196381572103, max values: 3.415255285860171, median values: 0.5250009804829955, and quantile values: 0.25 -0.179302\n0.50 0.525001\n0.75 1.107452\nName: 13835, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19910908553078385, std values: 0.741361934972851, min values: -2.0499005666581875, max values: 3.0, median values: -0.1916282666449623, and quantile values: 0.25 -0.724006\n0.50 -0.191628\n0.75 0.252962\nName: 13836, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.516838080295579, std values: 0.931643962499215, min values: -2.137685238195388, max values: 3.9048392686725855, median values: 0.4968121827317298, and quantile values: 0.25 -0.164407\n0.50 0.496812\n0.75 1.257156\nName: 13837, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1012317132654412, std values: 0.8552665986837603, min values: -2.710223074556336, max values: 4.0, median values: -0.2464999852886445, and quantile values: 0.25 -0.705451\n0.50 -0.246500\n0.75 0.494362\nName: 13838, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13074154050289555, std values: 1.5019811694324428, min values: -2.944950884974346, max values: 3.434669824302974, median values: 0.2203419420073347, and quantile values: 0.25 -1.757716\n0.50 0.220342\n0.75 1.002947\nName: 13839, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22669373410358853, std values: 0.8621733383517012, min values: -2.838932175687192, max values: 4.0, median values: 0.3055065421417871, and quantile values: 0.25 -0.350126\n0.50 0.305507\n0.75 0.833876\nName: 13840, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31399477725738284, std values: 0.9412729536699436, min values: -2.876502173242568, max values: 3.030805337148847, median values: -0.349774234411542, and quantile values: 0.25 -1.029571\n0.50 -0.349774\n0.75 0.312026\nName: 13841, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.189565500517453, std values: 0.7876277044280158, min values: -2.525881048269423, max values: 4.278004674434932, median values: 0.1205674624797259, and quantile values: 0.25 -0.380490\n0.50 0.120567\n0.75 0.730680\nName: 13842, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2030498328644668, std values: 0.8259412181764937, min values: -2.541693081833126, max values: 3.241738645014612, median values: -0.2268158885689831, and quantile values: 0.25 -0.763047\n0.50 -0.226816\n0.75 0.314340\nName: 13843, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.135534412459531, std values: 0.7202916613640586, min values: -2.046407181704428, max values: 3.867701659180865, median values: -0.1328816619828854, and quantile values: 0.25 -0.655400\n0.50 -0.132882\n0.75 0.309367\nName: 13844, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37335357785330986, std values: 0.9110325788374037, min values: -2.732564679617164, max values: 3.670892362631932, median values: 0.3972691652566719, and quantile values: 0.25 -0.315825\n0.50 0.397269\n0.75 1.102440\nName: 13845, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17868257558806147, std values: 0.878488560423673, min values: -2.482931728382393, max values: 3.721862465295849, median values: -0.1898894787631795, and quantile values: 0.25 -0.829045\n0.50 -0.189889\n0.75 0.393371\nName: 13846, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.028893540861885104, std values: 0.7566835987616506, min values: -2.060842074965388, max values: 6.0, median values: -0.0762715275569405, and quantile values: 0.25 -0.533618\n0.50 -0.076272\n0.75 0.437475\nName: 13847, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4470146243906163, std values: 0.8180787080638215, min values: -2.149188957097492, max values: 6.0, median values: 0.5270436608810521, and quantile values: 0.25 -0.103134\n0.50 0.527044\n0.75 1.025237\nName: 13848, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11684324911164669, std values: 0.7679827808493966, min values: -2.313835006552728, max values: 5.0, median values: 0.1802242916528351, and quantile values: 0.25 -0.380064\n0.50 0.180224\n0.75 0.629802\nName: 13849, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.021766499911355312, std values: 0.8927415435014452, min values: -2.5953860446419177, max values: 5.0, median values: 0.013282982102371, and quantile values: 0.25 -0.514566\n0.50 0.013283\n0.75 0.572933\nName: 13850, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3539749667588025, std values: 0.8831172985524859, min values: -2.572123985342288, max values: 5.0, median values: 0.4483159227754667, and quantile values: 0.25 -0.112976\n0.50 0.448316\n0.75 0.933315\nName: 13851, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45046533388384513, std values: 0.8273323398875277, min values: -2.1222500742240245, max values: 3.349054967837474, median values: -0.6029210746880825, and quantile values: 0.25 -1.032305\n0.50 -0.602921\n0.75 0.030564\nName: 13852, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.045586552072668846, std values: 0.8007418855240866, min values: -3.002493140275396, max values: 5.0, median values: -0.000898111290436, and quantile values: 0.25 -0.520013\n0.50 -0.000898\n0.75 0.581560\nName: 13853, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34131899221147466, std values: 0.8384773541085044, min values: -2.2146321721295776, max values: 4.243835016543704, median values: 0.3039979904991851, and quantile values: 0.25 -0.177482\n0.50 0.303998\n0.75 0.883610\nName: 13854, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09016568437380844, std values: 0.8402229223732534, min values: -2.0109169260219955, max values: 6.0, median values: 0.1347690100396875, and quantile values: 0.25 -0.496729\n0.50 0.134769\n0.75 0.720004\nName: 13855, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0823490551240513, std values: 0.7911884982316081, min values: -1.9968374791061445, max values: 5.0, median values: 0.0156939551789323, and quantile values: 0.25 -0.463631\n0.50 0.015694\n0.75 0.575566\nName: 13856, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43999193483988935, std values: 0.989777814287177, min values: -2.981718296512785, max values: 5.0, median values: -0.3789806092833132, and quantile values: 0.25 -1.041678\n0.50 -0.378981\n0.75 0.209640\nName: 13857, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1317043029354964, std values: 0.9486013705493043, min values: -2.727901130262228, max values: 4.0, median values: 0.2179452619840451, and quantile values: 0.25 -0.426884\n0.50 0.217945\n0.75 0.774028\nName: 13858, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14478694151654944, std values: 0.925153649081076, min values: -2.8680719719444903, max values: 3.2936960268109283, median values: -0.184732715545631, and quantile values: 0.25 -0.843596\n0.50 -0.184733\n0.75 0.500877\nName: 13859, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4414658121010769, std values: 0.9246685902080627, min values: -2.739804196611005, max values: 6.0, median values: 0.4896998648362913, and quantile values: 0.25 -0.162980\n0.50 0.489700\n0.75 1.130222\nName: 13860, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05474227447607116, std values: 1.3724680115530767, min values: -2.6660404517971856, max values: 4.278004674434932, median values: -0.0382736049790947, and quantile values: 0.25 -1.042247\n0.50 -0.038274\n0.75 0.929338\nName: 13861, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15271786512085167, std values: 0.9333780236583616, min values: -2.730840794324401, max values: 3.0932086550988465, median values: -0.1629933434730809, and quantile values: 0.25 -0.801171\n0.50 -0.162993\n0.75 0.423577\nName: 13862, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4974552282043157, std values: 1.123632607210298, min values: -2.981718296512785, max values: 5.0, median values: -0.5812625708943967, and quantile values: 0.25 -1.427032\n0.50 -0.581263\n0.75 0.305333\nName: 13863, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6353246782628015, std values: 1.0703113881147557, min values: -2.7510671817729784, max values: 6.0, median values: -0.6795113997263811, and quantile values: 0.25 -1.437227\n0.50 -0.679511\n0.75 0.054339\nName: 13864, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25115111724914213, std values: 0.876817053563763, min values: -1.9687809869968595, max values: 3.336438412828754, median values: 0.1628128534244834, and quantile values: 0.25 -0.401269\n0.50 0.162813\n0.75 0.877897\nName: 13865, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43727269691896214, std values: 0.7716975099369006, min values: -1.988079479687454, max values: 3.000356517591168, median values: 0.5494450980671899, and quantile values: 0.25 -0.081496\n0.50 0.549445\n0.75 0.999446\nName: 13866, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.031926846181111114, std values: 1.1449270532857894, min values: -3.21990804472754, max values: 5.0, median values: 0.1616966846542743, and quantile values: 0.25 -0.692369\n0.50 0.161697\n0.75 0.720432\nName: 13867, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10742614552439282, std values: 0.8461210331861212, min values: -2.142854198138545, max values: 5.0, median values: -0.1843964137813532, and quantile values: 0.25 -0.724329\n0.50 -0.184396\n0.75 0.437839\nName: 13868, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08522245743066176, std values: 0.9599191662708051, min values: -2.5631960397140583, max values: 4.0, median values: -0.1163678432910553, and quantile values: 0.25 -0.725970\n0.50 -0.116368\n0.75 0.462131\nName: 13869, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6205150087720499, std values: 0.8780033081890493, min values: -2.5201815750705507, max values: 4.0, median values: -0.7272316701903172, and quantile values: 0.25 -1.243624\n0.50 -0.727232\n0.75 -0.112432\nName: 13870, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4372464376663442, std values: 1.0804465417974343, min values: -2.6404955031131814, max values: 5.0, median values: -0.4646835860446777, and quantile values: 0.25 -1.304606\n0.50 -0.464684\n0.75 0.350402\nName: 13871, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10505318457128832, std values: 0.8709332385333375, min values: -2.8121055320525654, max values: 5.0, median values: 0.1551153400771789, and quantile values: 0.25 -0.566373\n0.50 0.155115\n0.75 0.768846\nName: 13872, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5002258383042799, std values: 1.1160696644646864, min values: -2.6270253558526173, max values: 4.0, median values: -0.5648732716368919, and quantile values: 0.25 -1.326277\n0.50 -0.564873\n0.75 0.319802\nName: 13873, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0298576034972102, std values: 1.283084863762502, min values: -2.727901130262228, max values: 4.0, median values: -1.6853971523502134, and quantile values: 0.25 -2.140874\n0.50 -1.685397\n0.75 0.205813\nName: 13874, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05263812365050507, std values: 0.84556836813864, min values: -2.264034258932616, max values: 3.2071942083719924, median values: -0.059404795956693, and quantile values: 0.25 -0.546139\n0.50 -0.059405\n0.75 0.530287\nName: 13875, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.468639595720211, std values: 0.8028461790089461, min values: -1.8591684708870508, max values: 2.971794873142076, median values: 0.4487159690812118, and quantile values: 0.25 -0.061536\n0.50 0.448716\n0.75 0.976569\nName: 13876, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.027036619627516648, std values: 0.8163028415477295, min values: -2.2896931241918383, max values: 4.0, median values: 0.011250261442435, and quantile values: 0.25 -0.495877\n0.50 0.011250\n0.75 0.540904\nName: 13877, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.028340143706991845, std values: 0.7992840724582617, min values: -2.0131371991989395, max values: 3.8226908388056136, median values: -0.0107680794983463, and quantile values: 0.25 -0.517374\n0.50 -0.010768\n0.75 0.534190\nName: 13878, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1845139294164447, std values: 0.8886492592550693, min values: -2.524734576638642, max values: 3.477886732511886, median values: 0.2455986333649682, and quantile values: 0.25 -0.446403\n0.50 0.245599\n0.75 0.807049\nName: 13879, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1749198801786138, std values: 0.8174666386040648, min values: -2.486556664247513, max values: 3.247416277295021, median values: -0.1830741231833689, and quantile values: 0.25 -0.644911\n0.50 -0.183074\n0.75 0.334238\nName: 13880, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20815254239153333, std values: 0.7820618955905916, min values: -2.6404955031131814, max values: 6.0, median values: -0.2757481391096323, and quantile values: 0.25 -0.728775\n0.50 -0.275748\n0.75 0.254229\nName: 13881, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.314944760987198, std values: 0.8283903910664339, min values: -3.074005993202373, max values: 3.147276669305989, median values: 0.3210957757945583, and quantile values: 0.25 -0.192528\n0.50 0.321096\n0.75 0.865216\nName: 13882, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10153448479793267, std values: 0.8835538051169812, min values: -2.1587143377696023, max values: 5.0, median values: -0.1105195285236004, and quantile values: 0.25 -0.732816\n0.50 -0.110520\n0.75 0.432118\nName: 13883, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3195235789661215, std values: 0.8877952856189173, min values: -3.21990804472754, max values: 5.0, median values: 0.4263500681475172, and quantile values: 0.25 -0.162706\n0.50 0.426350\n0.75 0.905187\nName: 13884, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6108915607350781, std values: 1.1372281065590517, min values: -2.981718296512785, max values: 5.0, median values: -0.6831046410434148, and quantile values: 0.25 -1.590449\n0.50 -0.683105\n0.75 0.228879\nName: 13885, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2801688878781658, std values: 0.9960921828246327, min values: -2.63315074164461, max values: 6.0, median values: -0.304021062736218, and quantile values: 0.25 -0.894857\n0.50 -0.304021\n0.75 0.369466\nName: 13886, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22711178558772022, std values: 0.9488270504397234, min values: -2.5631960397140583, max values: 4.0, median values: 0.1245511197871589, and quantile values: 0.25 -0.472170\n0.50 0.124551\n0.75 0.841190\nName: 13887, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.66198896742235, std values: 1.066789359801376, min values: -2.4705236352348297, max values: 3.760287110694155, median values: 0.8366086734012431, and quantile values: 0.25 -0.074897\n0.50 0.836609\n0.75 1.490716\nName: 13888, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16548105153972034, std values: 0.964767396279148, min values: -2.609385158408876, max values: 4.0, median values: 0.212399712767921, and quantile values: 0.25 -0.442887\n0.50 0.212400\n0.75 0.781219\nName: 13889, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2716206589104096, std values: 0.9818316640276064, min values: -2.8282523283494294, max values: 4.0, median values: -0.2226672045694785, and quantile values: 0.25 -0.909627\n0.50 -0.222667\n0.75 0.317466\nName: 13890, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2017531933406205, std values: 1.1568678072714162, min values: -2.6270253558526173, max values: 4.0, median values: -0.0191687569556921, and quantile values: 0.25 -0.970504\n0.50 -0.019169\n0.75 0.542012\nName: 13891, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15399854814853267, std values: 0.8841947540226681, min values: -2.572123985342288, max values: 4.0, median values: -0.1718893745852022, and quantile values: 0.25 -0.807540\n0.50 -0.171889\n0.75 0.461158\nName: 13892, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1923589874184443, std values: 1.2081929838522143, min values: -2.769191083399913, max values: 3.0, median values: 0.0482676119424749, and quantile values: 0.25 -0.825329\n0.50 0.048268\n0.75 0.622291\nName: 13893, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6445627789012975, std values: 1.093377515001859, min values: -2.8282523283494294, max values: 3.496479817235339, median values: 0.8187654663077821, and quantile values: 0.25 0.017278\n0.50 0.818765\n0.75 1.361668\nName: 13894, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30890505205598856, std values: 1.1531931346474085, min values: -2.5201815750705507, max values: 4.0, median values: 0.2720429208535958, and quantile values: 0.25 -0.530713\n0.50 0.272043\n0.75 1.205714\nName: 13895, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44373296488575725, std values: 0.8503652517552014, min values: -2.7257183488872623, max values: 5.0, median values: -0.5373050603526492, and quantile values: 0.25 -1.033514\n0.50 -0.537305\n0.75 0.089042\nName: 13896, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41861588271999, std values: 0.7958227174433472, min values: -2.1149759989911825, max values: 3.434669824302974, median values: -0.4835926155879064, and quantile values: 0.25 -1.006594\n0.50 -0.483593\n0.75 0.051163\nName: 13897, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.298526283495404, std values: 0.9224782483875471, min values: -2.6685266729136536, max values: 5.0, median values: -0.41523666760845, and quantile values: 0.25 -1.019942\n0.50 -0.415237\n0.75 0.342592\nName: 13898, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32845532045672104, std values: 0.7844069838807297, min values: -1.906887915119841, max values: 5.0, median values: 0.2992967328039277, and quantile values: 0.25 -0.217783\n0.50 0.299297\n0.75 0.869243\nName: 13899, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19030220733980652, std values: 1.5598745162527055, min values: -2.6820581866633817, max values: 4.278004674434932, median values: 0.0428388212006323, and quantile values: 0.25 -1.896127\n0.50 0.042839\n0.75 1.066979\nName: 13900, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3540286043352848, std values: 0.861995403578963, min values: -2.095777247368972, max values: 2.934784296522457, median values: -0.492298360782199, and quantile values: 0.25 -0.967949\n0.50 -0.492298\n0.75 0.143694\nName: 13901, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33730269166750504, std values: 0.9890670723623983, min values: -2.62876542141649, max values: 3.709787027503053, median values: 0.3460990296021055, and quantile values: 0.25 -0.450849\n0.50 0.346099\n0.75 1.150910\nName: 13902, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5947578631134017, std values: 0.9465975456547016, min values: -2.620939317041317, max values: 3.5908526919299577, median values: -0.7551651137814803, and quantile values: 0.25 -1.365204\n0.50 -0.755165\n0.75 0.004131\nName: 13903, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04470841596181106, std values: 0.9188752173585948, min values: -2.862971749830789, max values: 3.667275230673496, median values: -0.1002731861714791, and quantile values: 0.25 -0.647456\n0.50 -0.100273\n0.75 0.575274\nName: 13904, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23675846362053482, std values: 0.8289536009876028, min values: -1.977656420648408, max values: 3.1888787873512885, median values: 0.2779677247074994, and quantile values: 0.25 -0.357826\n0.50 0.277968\n0.75 0.845670\nName: 13905, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26536407985993793, std values: 0.8426358157854184, min values: -2.8531572940820533, max values: 3.496479817235339, median values: 0.1771462171851621, and quantile values: 0.25 -0.273505\n0.50 0.177146\n0.75 0.800813\nName: 13906, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09496883624825635, std values: 0.7748624321093684, min values: -2.556631690482005, max values: 3.4758930087721422, median values: 0.0386197148653705, and quantile values: 0.25 -0.476326\n0.50 0.038620\n0.75 0.614888\nName: 13907, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3568179921940763, std values: 0.8301456964137532, min values: -2.128045234184984, max values: 5.0, median values: -0.4193032704857132, and quantile values: 0.25 -0.955241\n0.50 -0.419303\n0.75 0.156760\nName: 13908, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18044413373576612, std values: 0.7729971472808642, min values: -2.0148114180740584, max values: 5.0, median values: 0.2203661573312288, and quantile values: 0.25 -0.332015\n0.50 0.220366\n0.75 0.681351\nName: 13909, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0018422323910569482, std values: 0.7590461582130276, min values: -3.124705982383478, max values: 3.9048392686725855, median values: -0.1007586806136397, and quantile values: 0.25 -0.485389\n0.50 -0.100759\n0.75 0.432027\nName: 13910, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7311620838461251, std values: 1.1194621928320232, min values: -2.982771139679002, max values: 4.0, median values: -0.7072406792091265, and quantile values: 0.25 -1.652943\n0.50 -0.707241\n0.75 0.037280\nName: 13911, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.202547215280464, std values: 0.8204134552912242, min values: -1.9604341550668736, max values: 3.3760121766849016, median values: 0.1554774068351777, and quantile values: 0.25 -0.345924\n0.50 0.155477\n0.75 0.747205\nName: 13912, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2019353784252779, std values: 1.0530586118497898, min values: -2.6660404517971856, max values: 4.0, median values: -0.3137321820835259, and quantile values: 0.25 -0.957295\n0.50 -0.313732\n0.75 0.499410\nName: 13913, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12377831837550486, std values: 0.9002163688815279, min values: -2.5820330744015787, max values: 4.0, median values: -0.1800003744575609, and quantile values: 0.25 -0.725152\n0.50 -0.180000\n0.75 0.469903\nName: 13914, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21886961287934475, std values: 0.9491676814727696, min values: -2.079371595256712, max values: 5.0, median values: 0.2474365067201894, and quantile values: 0.25 -0.520991\n0.50 0.247437\n0.75 0.962508\nName: 13915, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30794617107266725, std values: 1.0232288272433627, min values: -2.62876542141649, max values: 3.721862465295849, median values: 0.2873688269700014, and quantile values: 0.25 -0.475251\n0.50 0.287369\n0.75 1.040684\nName: 13916, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08499977777231088, std values: 0.9990969053312958, min values: -2.260674164615476, max values: 4.0, median values: -0.1674750664228183, and quantile values: 0.25 -0.935080\n0.50 -0.167475\n0.75 0.672903\nName: 13917, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13184332110262126, std values: 0.9254830149041647, min values: -2.9797100147087465, max values: 5.0, median values: 0.0428918582452816, and quantile values: 0.25 -0.478955\n0.50 0.042892\n0.75 0.736519\nName: 13918, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40128591710321415, std values: 0.8178227040521554, min values: -2.4176069991382847, max values: 6.0, median values: 0.3206478807952517, and quantile values: 0.25 -0.109328\n0.50 0.320648\n0.75 0.912833\nName: 13919, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10362636022359888, std values: 0.9627596742324657, min values: -2.56026492390943, max values: 4.0, median values: -0.0899544075353011, and quantile values: 0.25 -0.881660\n0.50 -0.089954\n0.75 0.607508\nName: 13920, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11607391925618783, std values: 0.7146419785147835, min values: -1.922103227964836, max values: 6.0, median values: -0.1337430007401025, and quantile values: 0.25 -0.572708\n0.50 -0.133743\n0.75 0.299420\nName: 13921, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.008934614245464587, std values: 0.7753947301706704, min values: -2.127734468259314, max values: 2.9014037851367123, median values: -0.0816058915271424, and quantile values: 0.25 -0.524601\n0.50 -0.081606\n0.75 0.513498\nName: 13922, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2593728140833427, std values: 0.8579979364412879, min values: -2.580492024304656, max values: 4.0, median values: -0.3583045565400363, and quantile values: 0.25 -0.846182\n0.50 -0.358305\n0.75 0.248885\nName: 13923, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08359774285032856, std values: 0.9126076819063097, min values: -2.7428415536925543, max values: 5.0, median values: 0.1279100326134117, and quantile values: 0.25 -0.487063\n0.50 0.127910\n0.75 0.741077\nName: 13924, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11593618158996363, std values: 0.8101037006734843, min values: -2.724017888297919, max values: 3.110498035652072, median values: -0.1052288194878299, and quantile values: 0.25 -0.603448\n0.50 -0.105229\n0.75 0.366788\nName: 13925, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8618212041569954, std values: 1.605805377417207, min values: -3.101800431129944, max values: 6.0, median values: -1.7712197512744168, and quantile values: 0.25 -2.187048\n0.50 -1.771220\n0.75 0.630937\nName: 13926, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6232777144979526, std values: 0.8573534872314821, min values: -2.589966702820638, max values: 6.0, median values: 0.7533432770510483, and quantile values: 0.25 0.025118\n0.50 0.753343\n0.75 1.259660\nName: 13927, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35276754429924384, std values: 0.8120743478186369, min values: -2.2543294306693213, max values: 4.0, median values: -0.4392943699547216, and quantile values: 0.25 -0.930251\n0.50 -0.439294\n0.75 0.133338\nName: 13928, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39231416567906374, std values: 0.9436174363817329, min values: -1.9684966728838769, max values: 3.518664430018096, median values: 0.2761164131053579, and quantile values: 0.25 -0.279285\n0.50 0.276116\n0.75 1.050722\nName: 13929, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6965183517891872, std values: 0.9956985448181709, min values: -2.56026492390943, max values: 4.0, median values: 0.8398241402797815, and quantile values: 0.25 0.122498\n0.50 0.839824\n0.75 1.418545\nName: 13930, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14675436208497758, std values: 0.7881459446287502, min values: -2.045067891820054, max values: 5.0, median values: -0.1777891957791776, and quantile values: 0.25 -0.694926\n0.50 -0.177789\n0.75 0.326690\nName: 13931, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05249626825427068, std values: 0.8148865727497567, min values: -2.842989614395848, max values: 5.0, median values: -0.0397873659858071, and quantile values: 0.25 -0.636896\n0.50 -0.039787\n0.75 0.505629\nName: 13932, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05917259333034658, std values: 0.873048910918081, min values: -2.196708653609315, max values: 6.0, median values: 0.0219818593051035, and quantile values: 0.25 -0.507187\n0.50 0.021982\n0.75 0.601040\nName: 13933, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09329822714054399, std values: 0.9048390745251914, min values: -2.7871422803648627, max values: 4.278004674434932, median values: -0.1563147278940381, and quantile values: 0.25 -0.657423\n0.50 -0.156315\n0.75 0.440660\nName: 13934, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.9215098099138629, std values: 0.8232415194330593, min values: -1.6689769336746942, max values: 3.709787027503053, median values: 0.9856716734528992, and quantile values: 0.25 0.414721\n0.50 0.985672\n0.75 1.474602\nName: 13935, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2566679159346372, std values: 1.3771111612114664, min values: -2.73836943861057, max values: 3.670892362631932, median values: 0.5380740331194716, and quantile values: 0.25 -0.607518\n0.50 0.538074\n0.75 1.353771\nName: 13936, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.46368428660127026, std values: 0.7879604033038763, min values: -2.7884838087481176, max values: 6.0, median values: 0.5323483820487374, and quantile values: 0.25 -0.034702\n0.50 0.532348\n0.75 0.999582\nName: 13937, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12536132655168608, std values: 0.7757607012929802, min values: -2.788272971802125, max values: 3.0, median values: -0.2246785582449799, and quantile values: 0.25 -0.709245\n0.50 -0.224679\n0.75 0.397576\nName: 13938, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10973994326588078, std values: 1.0324277084198896, min values: -2.9029979285382743, max values: 6.0, median values: -0.1894408527008338, and quantile values: 0.25 -0.805185\n0.50 -0.189441\n0.75 0.539629\nName: 13939, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.015512221758225503, std values: 1.0150706133709344, min values: -2.160415784529872, max values: 3.3337116327022187, median values: -0.0853294590653242, and quantile values: 0.25 -0.782673\n0.50 -0.085329\n0.75 0.685943\nName: 13940, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13059267602825095, std values: 0.7415730115849275, min values: -2.076845029664644, max values: 5.0, median values: -0.1172113606924928, and quantile values: 0.25 -0.643149\n0.50 -0.117211\n0.75 0.363462\nName: 13941, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05778597464128539, std values: 0.832905792400882, min values: -2.3771558481240653, max values: 4.0, median values: -0.1231151960668164, and quantile values: 0.25 -0.637908\n0.50 -0.123115\n0.75 0.456771\nName: 13942, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23662219438148216, std values: 0.8004231075335961, min values: -2.1558924048879446, max values: 3.0, median values: -0.3534767605696632, and quantile values: 0.25 -0.796099\n0.50 -0.353477\n0.75 0.305267\nName: 13943, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3433143424024094, std values: 0.9644374544377605, min values: -2.119621483749997, max values: 3.1395741599540568, median values: -0.4133268342861377, and quantile values: 0.25 -1.151925\n0.50 -0.413327\n0.75 0.383452\nName: 13944, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2021646110845527, std values: 0.914046916532697, min values: -2.7230534645798463, max values: 3.5908526919299577, median values: -0.2638546885743321, and quantile values: 0.25 -0.755291\n0.50 -0.263855\n0.75 0.383572\nName: 13945, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2557680966167128, std values: 0.8022474612846248, min values: -2.506827530467421, max values: 4.0, median values: -0.3431765939943205, and quantile values: 0.25 -0.867073\n0.50 -0.343177\n0.75 0.271247\nName: 13946, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31109716719803576, std values: 1.0430735618778422, min values: -2.9666813816765707, max values: 4.0, median values: -0.2243582219083589, and quantile values: 0.25 -0.939801\n0.50 -0.224358\n0.75 0.351232\nName: 13947, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.9342907494915449, std values: 1.10436707916416, min values: -2.119621483749997, max values: 4.243835016543704, median values: 1.0120504064556106, and quantile values: 0.25 0.103182\n0.50 1.012050\n0.75 1.771787\nName: 13948, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21211993457260786, std values: 0.7687101722859031, min values: -2.1548749249906303, max values: 5.0, median values: 0.1544743015880779, and quantile values: 0.25 -0.286135\n0.50 0.154474\n0.75 0.682915\nName: 13949, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01414596666690086, std values: 1.0506059654316555, min values: -2.933035609461076, max values: 5.0, median values: 0.0983834844295941, and quantile values: 0.25 -0.572448\n0.50 0.098383\n0.75 0.665940\nName: 13950, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2825058826972749, std values: 0.79777278958941, min values: -2.0797094986253195, max values: 5.0, median values: -0.3793357100712672, and quantile values: 0.25 -0.833447\n0.50 -0.379336\n0.75 0.206995\nName: 13951, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30574295597392687, std values: 0.9089432188477077, min values: -2.5743883495350026, max values: 5.0, median values: -0.2503024922625191, and quantile values: 0.25 -0.946734\n0.50 -0.250302\n0.75 0.345908\nName: 13952, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2927151721458408, std values: 0.95500350442687, min values: -2.5774281843044924, max values: 4.0, median values: 0.2196726248275838, and quantile values: 0.25 -0.428100\n0.50 0.219673\n0.75 1.020300\nName: 13953, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2857246375068621, std values: 0.8934851172898021, min values: -3.3126932323446474, max values: 3.5427287984042666, median values: -0.372301737945168, and quantile values: 0.25 -0.914698\n0.50 -0.372302\n0.75 0.303623\nName: 13954, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5679018975608188, std values: 1.1223448141691168, min values: -2.5544460869462697, max values: 4.0, median values: 0.4900414156447405, and quantile values: 0.25 -0.232443\n0.50 0.490041\n0.75 1.342046\nName: 13955, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34430443195161714, std values: 1.01064985488341, min values: -2.9090251609554527, max values: 6.0, median values: -0.3695419997040458, and quantile values: 0.25 -1.238316\n0.50 -0.369542\n0.75 0.395544\nName: 13956, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3652464896610774, std values: 1.0227906024181186, min values: -2.486556664247513, max values: 3.670892362631932, median values: -0.4445777668912953, and quantile values: 0.25 -1.156267\n0.50 -0.444578\n0.75 0.316719\nName: 13957, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20362329305642443, std values: 1.0166171744378727, min values: -2.982771139679002, max values: 4.0, median values: -0.2821492786997456, and quantile values: 0.25 -0.857441\n0.50 -0.282149\n0.75 0.461106\nName: 13958, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.026066384981961118, std values: 1.0722879452300538, min values: -3.24173864501462, max values: 2.8499459910874414, median values: -0.0443803977858563, and quantile values: 0.25 -0.853374\n0.50 -0.044380\n0.75 0.906051\nName: 13959, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6319466391652037, std values: 1.006779289518861, min values: -2.8246479422601736, max values: 6.0, median values: -0.7787621141211367, and quantile values: 0.25 -1.400989\n0.50 -0.778762\n0.75 0.043085\nName: 13960, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.043213148181342, std values: 0.8316126969537125, min values: -2.3771558481240653, max values: 4.0, median values: -0.0518773626590843, and quantile values: 0.25 -0.600974\n0.50 -0.051877\n0.75 0.490725\nName: 13961, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03670608022347117, std values: 0.9429827120120394, min values: -2.016912165465322, max values: 6.0, median values: -0.0716635066081805, and quantile values: 0.25 -0.753457\n0.50 -0.071664\n0.75 0.602888\nName: 13962, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4431225879925807, std values: 0.9882450579574024, min values: -2.8680719719444903, max values: 2.837651095538315, median values: 0.4955763188441184, and quantile values: 0.25 -0.225488\n0.50 0.495576\n0.75 1.209024\nName: 13963, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.292006953772278, std values: 0.7927354260697228, min values: -2.1269862447630747, max values: 2.920585992232296, median values: -0.279997851928577, and quantile values: 0.25 -0.883330\n0.50 -0.279998\n0.75 0.251986\nName: 13964, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3227296703031841, std values: 0.8064739725210289, min values: -2.4176069991382847, max values: 6.0, median values: -0.3936401108335831, and quantile values: 0.25 -0.943470\n0.50 -0.393640\n0.75 0.185741\nName: 13965, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16078535679550562, std values: 0.7951348746505432, min values: -2.981718296512785, max values: 5.0, median values: 0.1684805680249021, and quantile values: 0.25 -0.338215\n0.50 0.168481\n0.75 0.620836\nName: 13966, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05055439939323101, std values: 0.7543147496764893, min values: -2.3343363899181395, max values: 3.5908526919299577, median values: 0.0345136100791945, and quantile values: 0.25 -0.438043\n0.50 0.034514\n0.75 0.514630\nName: 13967, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04048440991967191, std values: 1.0609235822458558, min values: -2.693453432157769, max values: 3.8226908388056136, median values: 0.043288293362407, and quantile values: 0.25 -0.695627\n0.50 0.043288\n0.75 0.574354\nName: 13968, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3408303219823213, std values: 0.9025488368549368, min values: -2.8843374390620142, max values: 6.0, median values: 0.3206826589987875, and quantile values: 0.25 -0.238249\n0.50 0.320683\n0.75 0.857702\nName: 13969, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44017728760799113, std values: 0.8451152031785869, min values: -2.4564928597243227, max values: 4.0, median values: -0.5583278614452677, and quantile values: 0.25 -1.080536\n0.50 -0.558328\n0.75 0.085614\nName: 13970, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35165439213702354, std values: 0.8973630879424376, min values: -2.8680719719444903, max values: 2.834315464213432, median values: -0.4335693629198918, and quantile values: 0.25 -0.975234\n0.50 -0.433569\n0.75 0.159465\nName: 13971, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3387064991197796, std values: 1.3612490571323088, min values: -2.657750824678472, max values: 5.0, median values: 0.434689007505174, and quantile values: 0.25 -0.529326\n0.50 0.434689\n0.75 1.426162\nName: 13972, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22034880625011175, std values: 1.1472363194009236, min values: -2.610097161345549, max values: 4.0, median values: 0.3240766209346475, and quantile values: 0.25 -0.486970\n0.50 0.324077\n0.75 1.048753\nName: 13973, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39800206904548285, std values: 1.326048245518422, min values: -2.8350118695332047, max values: 5.0, median values: 0.2413927721612264, and quantile values: 0.25 -0.574884\n0.50 0.241393\n0.75 1.572955\nName: 13974, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2335535392332333, std values: 0.9394601938520961, min values: -2.589966702820638, max values: 6.0, median values: 0.2813007960584732, and quantile values: 0.25 -0.465869\n0.50 0.281301\n0.75 0.945061\nName: 13975, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38621980307047943, std values: 0.978106434323694, min values: -2.6466193392086392, max values: 4.0, median values: -0.3668763244699504, and quantile values: 0.25 -1.145480\n0.50 -0.366876\n0.75 0.317838\nName: 13976, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18347905790984093, std values: 0.7415203895584517, min values: -2.27710446206836, max values: 3.379902545505621, median values: 0.1445541623818987, and quantile values: 0.25 -0.294896\n0.50 0.144554\n0.75 0.639090\nName: 13977, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34132938267695156, std values: 0.83514742302552, min values: -2.0109169260219955, max values: 3.319774799707247, median values: 0.3951728789166888, and quantile values: 0.25 -0.226157\n0.50 0.395173\n0.75 0.927667\nName: 13978, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24498588627377685, std values: 0.9753764771766231, min values: -2.727901130262228, max values: 4.0, median values: -0.3503418252597401, and quantile values: 0.25 -1.037878\n0.50 -0.350342\n0.75 0.413975\nName: 13979, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31758953097302345, std values: 0.7734012779421583, min values: -2.5825978442440407, max values: 6.0, median values: 0.3646878433254856, and quantile values: 0.25 -0.179903\n0.50 0.364688\n0.75 0.787175\nName: 13980, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3672904538113228, std values: 0.8581684651941304, min values: -2.5156802245814003, max values: 4.0, median values: 0.4915514787212718, and quantile values: 0.25 -0.120472\n0.50 0.491551\n0.75 0.947863\nName: 13981, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1831914383646165, std values: 0.7390927212450439, min values: -2.688157591415518, max values: 5.0, median values: 0.1923856615403199, and quantile values: 0.25 -0.268341\n0.50 0.192386\n0.75 0.608380\nName: 13982, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5105502746359026, std values: 0.8115796208913704, min values: -2.0590878109320845, max values: 3.455472209455805, median values: -0.6675776143032901, and quantile values: 0.25 -1.106089\n0.50 -0.667578\n0.75 0.005058\nName: 13983, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04599209256704922, std values: 1.0343219264095118, min values: -2.163837561516034, max values: 4.243835016543704, median values: -0.1952973195442499, and quantile values: 0.25 -0.873078\n0.50 -0.195297\n0.75 0.672624\nName: 13984, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22735453865355218, std values: 0.9028548571088199, min values: -2.8121055320525654, max values: 5.0, median values: -0.3367574990602363, and quantile values: 0.25 -0.933716\n0.50 -0.336757\n0.75 0.393104\nName: 13985, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3269201510232668, std values: 0.9550535058692678, min values: -2.7428415536925543, max values: 5.0, median values: 0.4963042079998914, and quantile values: 0.25 -0.242725\n0.50 0.496304\n0.75 1.010603\nName: 13986, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23784371132280044, std values: 1.0292704289800951, min values: -2.869671295224012, max values: 6.0, median values: 0.3559696065503755, and quantile values: 0.25 -0.289498\n0.50 0.355970\n0.75 0.906612\nName: 13987, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1556754636512123, std values: 0.9130871199928693, min values: -2.8164291268114208, max values: 2.9804248838044773, median values: 0.2467834653673048, and quantile values: 0.25 -0.361381\n0.50 0.246783\n0.75 0.733776\nName: 13988, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43486871248835934, std values: 1.0916980639901632, min values: -2.919359491767569, max values: 6.0, median values: 0.3795428742863642, and quantile values: 0.25 -0.401723\n0.50 0.379543\n0.75 1.352058\nName: 13989, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25810441183478955, std values: 0.9204994169392776, min values: -2.64479559868397, max values: 6.0, median values: -0.3558610901425395, and quantile values: 0.25 -0.871026\n0.50 -0.355861\n0.75 0.290903\nName: 13990, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1764123584956148, std values: 0.8574329617318074, min values: -2.1323052317104474, max values: 4.0, median values: 0.0926092197892703, and quantile values: 0.25 -0.415728\n0.50 0.092609\n0.75 0.760609\nName: 13991, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7778155052098459, std values: 1.0368087810586337, min values: -2.476285024008804, max values: 3.8226908388056136, median values: 0.7597263916383695, and quantile values: 0.25 0.033378\n0.50 0.759726\n0.75 1.433387\nName: 13992, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32292774613224157, std values: 0.9362207923190362, min values: -2.196181211030292, max values: 5.0, median values: 0.2303540467559524, and quantile values: 0.25 -0.303774\n0.50 0.230354\n0.75 0.885147\nName: 13993, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3814211892528967, std values: 0.8934865198957644, min values: -2.1592807923628903, max values: 2.827210576623692, median values: 0.4548588217409529, and quantile values: 0.25 -0.277338\n0.50 0.454859\n0.75 1.096644\nName: 13994, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15018602327915576, std values: 0.8751034917286448, min values: -2.042994235813153, max values: 3.306454397423372, median values: 0.1885437148533294, and quantile values: 0.25 -0.499753\n0.50 0.188544\n0.75 0.707969\nName: 13995, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2937189133041921, std values: 0.8617937223432757, min values: -2.142854198138545, max values: 5.0, median values: -0.3979874728216138, and quantile values: 0.25 -0.954617\n0.50 -0.397987\n0.75 0.263983\nName: 13996, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5351129119456831, std values: 0.9286101022567574, min values: -2.5961021427111413, max values: 3.216771431244405, median values: 0.6494349933300816, and quantile values: 0.25 -0.068120\n0.50 0.649435\n0.75 1.207759\nName: 13997, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49450788967813925, std values: 0.8587082252529801, min values: -2.5631847770497496, max values: 4.0, median values: 0.5303820532140205, and quantile values: 0.25 -0.060020\n0.50 0.530382\n0.75 1.092533\nName: 13998, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17649000873336593, std values: 0.9289955442884387, min values: -2.5046447434119337, max values: 4.0, median values: 0.2156682912109444, and quantile values: 0.25 -0.504814\n0.50 0.215668\n0.75 0.825523\nName: 13999, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7883284022713357, std values: 1.1334158151049767, min values: -2.2065783767301927, max values: 6.0, median values: 0.742869063496886, and quantile values: 0.25 0.031565\n0.50 0.742869\n0.75 1.530575\nName: 14000, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.015980018673303613, std values: 0.8659350315824589, min values: -2.5953860446419177, max values: 3.627976272701048, median values: -0.0378204912351027, and quantile values: 0.25 -0.513090\n0.50 -0.037820\n0.75 0.514001\nName: 14001, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32176351737203535, std values: 0.8992736952662802, min values: -3.0223671288921072, max values: 2.9325508639431663, median values: -0.3297124746279869, and quantile values: 0.25 -0.911722\n0.50 -0.329712\n0.75 0.208317\nName: 14002, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03724611615568326, std values: 0.896056778294527, min values: -2.584593648802428, max values: 3.2696814875916886, median values: -0.0799697800571767, and quantile values: 0.25 -0.595605\n0.50 -0.079970\n0.75 0.638820\nName: 14003, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3001206488756868, std values: 0.7967716506426163, min values: -2.3184884946917497, max values: 6.0, median values: 0.3786255562770854, and quantile values: 0.25 -0.255537\n0.50 0.378626\n0.75 0.875918\nName: 14004, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46704669190991316, std values: 1.1631788185609804, min values: -2.960014365184806, max values: 6.0, median values: -0.3325891230834471, and quantile values: 0.25 -1.189436\n0.50 -0.332589\n0.75 0.368232\nName: 14005, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.019594115172796075, std values: 0.82355421187181, min values: -2.5046447434119337, max values: 4.0, median values: -0.0553823176788826, and quantile values: 0.25 -0.554096\n0.50 -0.055382\n0.75 0.479956\nName: 14006, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3476884136540444, std values: 0.8987619311904721, min values: -2.196708653609315, max values: 6.0, median values: -0.4427304173612077, and quantile values: 0.25 -1.055288\n0.50 -0.442730\n0.75 0.223685\nName: 14007, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23435297243175315, std values: 0.9929178028351107, min values: -2.4902145713898545, max values: 3.390469008396469, median values: -0.2814615629860541, and quantile values: 0.25 -1.003109\n0.50 -0.281462\n0.75 0.477195\nName: 14008, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2599437789153361, std values: 1.0224487935472324, min values: -2.30751313346571, max values: 3.721862465295849, median values: -0.2942335355881157, and quantile values: 0.25 -1.124456\n0.50 -0.294234\n0.75 0.449021\nName: 14009, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5659479773729892, std values: 1.1021076364706934, min values: -2.6270253558526173, max values: 4.0, median values: 0.7139640788355125, and quantile values: 0.25 -0.054224\n0.50 0.713964\n0.75 1.386442\nName: 14010, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4236123600468236, std values: 1.0003441742403392, min values: -2.673549169958716, max values: 6.0, median values: 0.527025003880546, and quantile values: 0.25 -0.159409\n0.50 0.527025\n0.75 1.080606\nName: 14011, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33703497391946785, std values: 0.8218737648635371, min values: -2.00814811734828, max values: 6.0, median values: -0.4354950199818552, and quantile values: 0.25 -0.940500\n0.50 -0.435495\n0.75 0.156955\nName: 14012, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2590573770677046, std values: 0.8784464755886381, min values: -2.5682675825126706, max values: 5.0, median values: 0.1771741920778637, and quantile values: 0.25 -0.380934\n0.50 0.177174\n0.75 0.868519\nName: 14013, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3020270274297573, std values: 0.87949417648663, min values: -2.7510671817729784, max values: 6.0, median values: 0.3678190947564283, and quantile values: 0.25 -0.215950\n0.50 0.367819\n0.75 0.870831\nName: 14014, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06749740964145948, std values: 0.9999187764442254, min values: -2.6320986139293034, max values: 3.0, median values: 0.0579132581415483, and quantile values: 0.25 -0.639867\n0.50 0.057913\n0.75 0.618818\nName: 14015, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25765281139820756, std values: 1.082414500889004, min values: -2.1205160578498776, max values: 3.191712471143802, median values: 0.1623467127688065, and quantile values: 0.25 -0.623475\n0.50 0.162347\n0.75 1.202700\nName: 14016, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03176052968000673, std values: 0.8634894925989133, min values: -2.3922473154067863, max values: 5.0, median values: -0.1060336682325813, and quantile values: 0.25 -0.646675\n0.50 -0.106034\n0.75 0.527310\nName: 14017, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2046979972146934, std values: 0.9278655201150758, min values: -2.981718296512785, max values: 5.0, median values: -0.1473490100540976, and quantile values: 0.25 -0.792441\n0.50 -0.147349\n0.75 0.375846\nName: 14018, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4165263768519902, std values: 1.1172531841560844, min values: -2.6800544037614658, max values: 4.0, median values: 0.5456012034612135, and quantile values: 0.25 -0.152245\n0.50 0.545601\n0.75 1.163747\nName: 14019, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05651476685176596, std values: 1.03932720633835, min values: -2.9090251609554527, max values: 6.0, median values: 0.0077285598982542, and quantile values: 0.25 -0.586409\n0.50 0.007729\n0.75 0.557459\nName: 14020, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5550634432851872, std values: 1.0292686227436816, min values: -2.758827038696141, max values: 3.0932086550988465, median values: -0.7381744353801006, and quantile values: 0.25 -1.374749\n0.50 -0.738174\n0.75 0.036642\nName: 14021, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28174577661159045, std values: 0.8147037100472803, min values: -2.687115288423959, max values: 5.0, median values: 0.2578695688104943, and quantile values: 0.25 -0.246670\n0.50 0.257870\n0.75 0.808031\nName: 14022, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2642820481601106, std values: 0.8519083526654992, min values: -2.267175988438518, max values: 5.0, median values: 0.2874836297649233, and quantile values: 0.25 -0.277481\n0.50 0.287484\n0.75 0.800686\nName: 14023, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0607652326614711, std values: 0.8766956922136215, min values: -2.5859127503381347, max values: 3.3337116327022187, median values: 0.0545548891501731, and quantile values: 0.25 -0.421944\n0.50 0.054555\n0.75 0.617773\nName: 14024, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14344489096870217, std values: 0.8001292073985259, min values: -2.2276120832807416, max values: 6.0, median values: -0.2503622953147925, and quantile values: 0.25 -0.718220\n0.50 -0.250362\n0.75 0.367613\nName: 14025, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34823438525237266, std values: 0.8194095513555908, min values: -2.040629887786797, max values: 6.0, median values: -0.4501173924454487, and quantile values: 0.25 -0.948726\n0.50 -0.450117\n0.75 0.151075\nName: 14026, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07062201930167168, std values: 0.9640573083812191, min values: -2.34539734644071, max values: 5.0, median values: -0.0326123266216634, and quantile values: 0.25 -0.669765\n0.50 -0.032612\n0.75 0.740162\nName: 14027, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16619328049251952, std values: 0.8862435323585737, min values: -2.740813841730953, max values: 3.455472209455805, median values: -0.2053630228710405, and quantile values: 0.25 -0.691275\n0.50 -0.205363\n0.75 0.348761\nName: 14028, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1955710890765812, std values: 0.8259571110479558, min values: -2.03754703245347, max values: 5.0, median values: 0.1232104538382109, and quantile values: 0.25 -0.383470\n0.50 0.123210\n0.75 0.739168\nName: 14029, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2869807573267028, std values: 0.8474568728936339, min values: -2.1227739687253626, max values: 3.3483277116524426, median values: -0.3912001359222098, and quantile values: 0.25 -0.913466\n0.50 -0.391200\n0.75 0.267729\nName: 14030, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.48418800595143086, std values: 0.87688991705543, min values: -2.219779328182016, max values: 3.434669824302974, median values: -0.5725132803392421, and quantile values: 0.25 -1.187848\n0.50 -0.572513\n0.75 0.089386\nName: 14031, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30057792769553415, std values: 0.7639848117502752, min values: -2.566149343918479, max values: 6.0, median values: 0.2981352288348424, and quantile values: 0.25 -0.147678\n0.50 0.298135\n0.75 0.743762\nName: 14032, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46716642080307724, std values: 0.9707565745054033, min values: -2.4478914006879906, max values: 2.921039391187937, median values: -0.539631693536182, and quantile values: 0.25 -1.291189\n0.50 -0.539632\n0.75 0.265480\nName: 14033, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23562231760811295, std values: 0.9103239867179866, min values: -2.7314147016889114, max values: 3.0, median values: 0.2550821697253502, and quantile values: 0.25 -0.238587\n0.50 0.255082\n0.75 0.802899\nName: 14034, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03396807523053507, std values: 0.8763781060768395, min values: -2.267175988438518, max values: 5.0, median values: -0.112708728516687, and quantile values: 0.25 -0.695171\n0.50 -0.112709\n0.75 0.553667\nName: 14035, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08238373927388128, std values: 0.7289019618783037, min values: -2.0604470366149066, max values: 2.7939007019027, median values: 0.1062713486460492, and quantile values: 0.25 -0.417892\n0.50 0.106271\n0.75 0.567816\nName: 14036, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22282800358777557, std values: 0.9353752701810063, min values: -2.5689076212724418, max values: 5.0, median values: -0.216372365581296, and quantile values: 0.25 -0.908378\n0.50 -0.216372\n0.75 0.400852\nName: 14037, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8188785115839987, std values: 1.6151657163038406, min values: -3.00972886875607, max values: 3.496479817235339, median values: -0.9864612251766012, and quantile values: 0.25 -2.230916\n0.50 -0.986461\n0.75 0.450721\nName: 14038, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12317423947881875, std values: 0.8734136166252287, min values: -2.5569229852416258, max values: 4.0, median values: 0.1671621665287731, and quantile values: 0.25 -0.489979\n0.50 0.167162\n0.75 0.741222\nName: 14039, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.039248133833241945, std values: 1.065642872873755, min values: -2.730840794324401, max values: 3.260388056018088, median values: -0.0523270281734001, and quantile values: 0.25 -0.770836\n0.50 -0.052327\n0.75 0.728279\nName: 14040, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3210561654678116, std values: 0.785200495756769, min values: -2.4737574649270093, max values: 3.784832159836258, median values: -0.3931804608522278, and quantile values: 0.25 -0.845001\n0.50 -0.393180\n0.75 0.129687\nName: 14041, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20706798684209024, std values: 0.9331612673100054, min values: -2.838932175687192, max values: 4.0, median values: 0.3473632119858343, and quantile values: 0.25 -0.256875\n0.50 0.347363\n0.75 0.815523\nName: 14042, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4033761120580685, std values: 0.7925884946986018, min values: -2.5631960397140583, max values: 4.0, median values: 0.4746965238424395, and quantile values: 0.25 -0.138830\n0.50 0.474697\n0.75 0.970548\nName: 14043, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.47269988320048956, std values: 1.0804786022978892, min values: -2.7510671817729784, max values: 6.0, median values: -0.6004457810745412, and quantile values: 0.25 -1.188238\n0.50 -0.600446\n0.75 0.223172\nName: 14044, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19874516520070126, std values: 0.8755625200377308, min values: -2.103263298070576, max values: 5.0, median values: 0.1066412275598047, and quantile values: 0.25 -0.391547\n0.50 0.106641\n0.75 0.766308\nName: 14045, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45489005069514626, std values: 0.8277293365824328, min values: -2.117042895443173, max values: 2.936634214427119, median values: -0.5985670161730355, and quantile values: 0.25 -1.102794\n0.50 -0.598567\n0.75 0.109076\nName: 14046, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6784944559364481, std values: 0.9935122475212793, min values: -2.919359491767569, max values: 6.0, median values: 0.6897113265088225, and quantile values: 0.25 0.014323\n0.50 0.689711\n0.75 1.452813\nName: 14047, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05221716478999091, std values: 0.9001149703459551, min values: -2.732564679617164, max values: 3.0, median values: 0.0392433478099156, and quantile values: 0.25 -0.471401\n0.50 0.039243\n0.75 0.635721\nName: 14048, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13886633710202936, std values: 0.9842547400720031, min values: -2.011274058715068, max values: 3.1801075704642923, median values: -0.2831946045198066, and quantile values: 0.25 -0.918079\n0.50 -0.283195\n0.75 0.581034\nName: 14049, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.032863520451695695, std values: 0.7060593464946184, min values: -1.9683985994558373, max values: 6.0, median values: -0.0439393389298319, and quantile values: 0.25 -0.525117\n0.50 -0.043939\n0.75 0.409311\nName: 14050, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4377578300479105, std values: 0.7744618554618865, min values: -2.745904427753044, max values: 5.0, median values: 0.4512757570377414, and quantile values: 0.25 -0.035643\n0.50 0.451276\n0.75 0.884833\nName: 14051, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07882804564576004, std values: 0.8500452885731675, min values: -2.170058011928108, max values: 6.0, median values: 0.0743753955705523, and quantile values: 0.25 -0.531650\n0.50 0.074375\n0.75 0.687338\nName: 14052, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2823100433599367, std values: 0.8618777738711226, min values: -2.349293916724472, max values: 3.0, median values: -0.3882883187902246, and quantile values: 0.25 -0.956530\n0.50 -0.388288\n0.75 0.296801\nName: 14053, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10991595510054039, std values: 0.8960435492708387, min values: -2.1475280888671984, max values: 3.667275230673496, median values: -0.1907704699395924, and quantile values: 0.25 -0.745831\n0.50 -0.190770\n0.75 0.421918\nName: 14054, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16690174928532484, std values: 0.840747905571097, min values: -2.521882829270847, max values: 4.0, median values: -0.225092554361121, and quantile values: 0.25 -0.712196\n0.50 -0.225093\n0.75 0.338973\nName: 14055, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13671605364289854, std values: 0.8326927080012672, min values: -2.3757645284567537, max values: 6.0, median values: -0.2098444761992425, and quantile values: 0.25 -0.754128\n0.50 -0.209844\n0.75 0.428432\nName: 14056, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23789443553055037, std values: 1.0231821335648066, min values: -2.9622221028070275, max values: 4.0, median values: -0.2366445621254285, and quantile values: 0.25 -0.812735\n0.50 -0.236645\n0.75 0.440386\nName: 14057, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26162291838231494, std values: 1.210800667620355, min values: -2.6668673616981367, max values: 4.243835016543704, median values: 0.5468907522788409, and quantile values: 0.25 -0.249339\n0.50 0.546891\n0.75 1.084528\nName: 14058, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1756128043146252, std values: 0.964963707441051, min values: -2.04643520009459, max values: 3.2071942083719924, median values: 0.0812976220723779, and quantile values: 0.25 -0.470933\n0.50 0.081298\n0.75 0.790014\nName: 14059, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5726798321421599, std values: 0.9962314016797268, min values: -2.891990595045606, max values: 6.0, median values: -0.6137731338909999, and quantile values: 0.25 -1.464306\n0.50 -0.613773\n0.75 0.128799\nName: 14060, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5174302141281449, std values: 1.125137158589325, min values: -2.960014365184806, max values: 6.0, median values: -0.3048056570749481, and quantile values: 0.25 -1.260550\n0.50 -0.304806\n0.75 0.228680\nName: 14061, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5474982098277481, std values: 0.8790341677510899, min values: -2.011274058715068, max values: 6.0, median values: 0.5659395869569783, and quantile values: 0.25 -0.101602\n0.50 0.565940\n0.75 1.227902\nName: 14062, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0997140452061202, std values: 0.7580542407041058, min values: -2.0044388437594938, max values: 5.0, median values: 0.10896801191767, and quantile values: 0.25 -0.401149\n0.50 0.108968\n0.75 0.579966\nName: 14063, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28125675805728634, std values: 0.7904884711906418, min values: -2.414039489297912, max values: 6.0, median values: -0.3540990836626522, and quantile values: 0.25 -0.828780\n0.50 -0.354099\n0.75 0.209190\nName: 14064, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24187993291339166, std values: 1.2040247083074258, min values: -2.9029979285382743, max values: 3.312693232344632, median values: 0.0065268635353631, and quantile values: 0.25 -0.977008\n0.50 0.006527\n0.75 0.571959\nName: 14065, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.448432431207524, std values: 0.9745575570673395, min values: -2.196181211030292, max values: 3.224152805256112, median values: 0.4832209204944777, and quantile values: 0.25 -0.324607\n0.50 0.483221\n0.75 1.249381\nName: 14066, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20522170988792673, std values: 0.980961931513281, min values: -2.17105492102825, max values: 5.0, median values: 0.1044257792777541, and quantile values: 0.25 -0.494220\n0.50 0.104426\n0.75 0.848193\nName: 14067, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3715650513769828, std values: 0.8508264280378216, min values: -2.024335741105721, max values: 3.721862465295849, median values: 0.3867794943363866, and quantile values: 0.25 -0.210879\n0.50 0.386779\n0.75 0.962352\nName: 14068, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6507559317904698, std values: 0.976032145939732, min values: -2.1248753939751497, max values: 4.026668017837955, median values: 0.7076390869340511, and quantile values: 0.25 -0.059437\n0.50 0.707639\n0.75 1.415314\nName: 14069, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2536586139477783, std values: 0.8902330142269022, min values: -2.10781213968935, max values: 5.0, median values: -0.359110809915814, and quantile values: 0.25 -0.936061\n0.50 -0.359111\n0.75 0.305705\nName: 14070, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07606317510738123, std values: 1.0095126887953283, min values: -2.919359491767569, max values: 6.0, median values: 0.0002363450468581, and quantile values: 0.25 -0.602881\n0.50 0.000236\n0.75 0.778643\nName: 14071, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04248223321217257, std values: 1.0540183257808207, min values: -2.837386543755612, max values: 4.243835016543704, median values: 0.0228320741112446, and quantile values: 0.25 -0.792818\n0.50 0.022832\n0.75 0.732043\nName: 14072, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.013191994934984994, std values: 0.9759234523556062, min values: -2.580492024304656, max values: 3.8226908388056136, median values: -0.1087198087642694, and quantile values: 0.25 -0.736194\n0.50 -0.108720\n0.75 0.662747\nName: 14073, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4747548288459387, std values: 0.8955619875812447, min values: -1.967443887800321, max values: 6.0, median values: 0.56315726253784, and quantile values: 0.25 -0.172700\n0.50 0.563157\n0.75 1.149629\nName: 14074, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30815093808310884, std values: 0.992187694500768, min values: -2.739804196611005, max values: 6.0, median values: -0.4249631383787717, and quantile values: 0.25 -0.978652\n0.50 -0.424963\n0.75 0.328375\nName: 14075, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35881850071874943, std values: 0.9667308608477786, min values: -2.8350118695332047, max values: 5.0, median values: -0.395862927348733, and quantile values: 0.25 -0.987902\n0.50 -0.395863\n0.75 0.270333\nName: 14076, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7311368045890435, std values: 0.9039752142715567, min values: -2.632854336056873, max values: 3.721862465295849, median values: -0.8550794934248093, and quantile values: 0.25 -1.407208\n0.50 -0.855079\n0.75 -0.156537\nName: 14077, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11067002269821374, std values: 0.7631857171739638, min values: -2.3344113078233786, max values: 3.071284484560209, median values: 0.0550489169821427, and quantile values: 0.25 -0.403060\n0.50 0.055049\n0.75 0.618316\nName: 14078, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6466050724952275, std values: 0.9069690526965563, min values: -2.783691185534105, max values: 3.197902420311553, median values: 0.7045295499993489, and quantile values: 0.25 0.022407\n0.50 0.704530\n0.75 1.299858\nName: 14079, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12055706977300021, std values: 0.7764991711657255, min values: -2.737201088051888, max values: 3.0089865423056903, median values: 0.0980591812138147, and quantile values: 0.25 -0.399359\n0.50 0.098059\n0.75 0.616352\nName: 14080, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3857310311587977, std values: 1.0015929728173685, min values: -3.3364384128287203, max values: 2.9128356588262627, median values: 0.4793730878570601, and quantile values: 0.25 -0.234652\n0.50 0.479373\n0.75 1.145586\nName: 14081, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17662354665642996, std values: 0.8267151497891905, min values: -1.983136090150361, max values: 3.5581019918925243, median values: -0.2897804837152207, and quantile values: 0.25 -0.765878\n0.50 -0.289780\n0.75 0.355588\nName: 14082, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.6496085383654615, std values: 1.3498023331799167, min values: -3.045947208515832, max values: 6.0, median values: -2.0518013768179686, and quantile values: 0.25 -2.378552\n0.50 -2.051801\n0.75 -1.730125\nName: 14083, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5721831624572117, std values: 0.8714336183452827, min values: -3.0223671288921072, max values: 3.362228250221886, median values: 0.6554878178855723, and quantile values: 0.25 -0.060020\n0.50 0.655488\n0.75 1.240269\nName: 14084, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19446075663528434, std values: 0.8348044035515635, min values: -2.572123985342288, max values: 5.0, median values: 0.2790148126432918, and quantile values: 0.25 -0.319871\n0.50 0.279015\n0.75 0.779389\nName: 14085, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3015717966654626, std values: 0.8279011947282772, min values: -2.161181455793125, max values: 6.0, median values: 0.2445412097931424, and quantile values: 0.25 -0.253157\n0.50 0.244541\n0.75 0.816342\nName: 14086, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.025227838885790173, std values: 1.4453793213088946, min values: -2.769191083399913, max values: 3.3014869995452325, median values: 0.2231157807896207, and quantile values: 0.25 -0.994286\n0.50 0.223116\n0.75 1.258825\nName: 14087, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6116985148517542, std values: 1.0015921202341251, min values: -2.006290030063405, max values: 3.867701659180865, median values: 0.6062292702720821, and quantile values: 0.25 -0.074176\n0.50 0.606229\n0.75 1.262277\nName: 14088, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24750214373255644, std values: 1.0035818993972958, min values: -2.919359491767569, max values: 6.0, median values: -0.3561632592095518, and quantile values: 0.25 -1.045604\n0.50 -0.356163\n0.75 0.436171\nName: 14089, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04560435796531922, std values: 0.881187830159243, min values: -2.6603025395856053, max values: 5.0, median values: 0.0266887623722795, and quantile values: 0.25 -0.478657\n0.50 0.026689\n0.75 0.585082\nName: 14090, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42969652558905325, std values: 0.9325862905409554, min values: -2.5774281843044924, max values: 4.0, median values: 0.5571849889434485, and quantile values: 0.25 -0.222015\n0.50 0.557185\n0.75 1.156244\nName: 14091, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21565330011662295, std values: 1.035202960059096, min values: -2.6668673616981367, max values: 4.0, median values: 0.1495153465777166, and quantile values: 0.25 -0.540426\n0.50 0.149515\n0.75 0.961301\nName: 14092, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7063885469560137, std values: 1.8708114417067248, min values: -2.944950884974346, max values: 4.278004674434932, median values: -1.7073161855127896, and quantile values: 0.25 -2.265878\n0.50 -1.707316\n0.75 0.772988\nName: 14093, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22686633373429804, std values: 0.7473566160014153, min values: -2.673549169958716, max values: 6.0, median values: 0.2167836866379855, and quantile values: 0.25 -0.227515\n0.50 0.216784\n0.75 0.672162\nName: 14094, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43030089265854277, std values: 0.8748729346233621, min values: -2.783691185534105, max values: 2.8049869864613712, median values: -0.484552453945649, and quantile values: 0.25 -1.141701\n0.50 -0.484552\n0.75 0.173287\nName: 14095, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05733790774163638, std values: 0.931400240863612, min values: -2.572123985342288, max values: 4.0, median values: 0.064709134994945, and quantile values: 0.25 -0.541446\n0.50 0.064709\n0.75 0.653146\nName: 14096, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.023904117902534685, std values: 0.9428748293918172, min values: -2.57895707818966, max values: 6.0, median values: -0.0797833331126978, and quantile values: 0.25 -0.709267\n0.50 -0.079783\n0.75 0.622270\nName: 14097, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05553766029051843, std values: 0.9577210955839207, min values: -2.0388658839696707, max values: 4.026668017837955, median values: -0.0038004343505931, and quantile values: 0.25 -0.810523\n0.50 -0.003800\n0.75 0.674000\nName: 14098, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21416139428622782, std values: 0.926482683977223, min values: -2.6652153608723106, max values: 5.0, median values: -0.1666109501203423, and quantile values: 0.25 -0.812122\n0.50 -0.166611\n0.75 0.428956\nName: 14099, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20082752726736092, std values: 0.7661127121836128, min values: -2.475778245535816, max values: 4.0, median values: -0.3050364554556458, and quantile values: 0.25 -0.735652\n0.50 -0.305036\n0.75 0.298283\nName: 14100, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1599266010067217, std values: 0.7730829963752412, min values: -2.838932175687192, max values: 4.0, median values: 0.1480395193938899, and quantile values: 0.25 -0.282678\n0.50 0.148040\n0.75 0.589134\nName: 14101, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1432177448722976, std values: 0.8388279695434527, min values: -2.0199232240674205, max values: 2.9640616449178703, median values: 0.0871798211079873, and quantile values: 0.25 -0.470693\n0.50 0.087180\n0.75 0.719770\nName: 14102, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01474618322734726, std values: 0.8277605064179632, min values: -2.5859127503381347, max values: 3.3636961113187773, median values: 0.0147957396100511, and quantile values: 0.25 -0.490228\n0.50 0.014796\n0.75 0.488862\nName: 14103, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45382325877450963, std values: 1.0467711877310724, min values: -2.697026421440041, max values: 4.026668017837955, median values: 0.5017381802159241, and quantile values: 0.25 -0.342397\n0.50 0.501738\n0.75 1.305390\nName: 14104, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1964048732230343, std values: 0.8955975741800226, min values: -2.9472833478224456, max values: 6.0, median values: -0.181819963943756, and quantile values: 0.25 -0.729493\n0.50 -0.181820\n0.75 0.353445\nName: 14105, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18630710426403324, std values: 0.7580179563738774, min values: -2.133376301904917, max values: 3.455472209455805, median values: 0.2034220303172116, and quantile values: 0.25 -0.316887\n0.50 0.203422\n0.75 0.669657\nName: 14106, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14745267534851994, std values: 0.9242415770545263, min values: -2.5293911731823453, max values: 3.098911021393695, median values: 0.2122369827722763, and quantile values: 0.25 -0.332156\n0.50 0.212237\n0.75 0.700700\nName: 14107, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4794959933103914, std values: 0.9007573647367455, min values: -2.740813841730953, max values: 3.0, median values: -0.5606387290442829, and quantile values: 0.25 -1.025004\n0.50 -0.560639\n0.75 0.048233\nName: 14108, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2694467948771136, std values: 0.8219149584102877, min values: -1.960810603762251, max values: 3.5427287984042666, median values: 0.3146290929788369, and quantile values: 0.25 -0.304665\n0.50 0.314629\n0.75 0.885007\nName: 14109, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1737038485007278, std values: 1.086947710245592, min values: -2.0340473177314244, max values: 6.0, median values: 0.0415136656990304, and quantile values: 0.25 -0.712349\n0.50 0.041514\n0.75 0.955726\nName: 14110, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.034110698082904366, std values: 0.8224011220407347, min values: -2.2161166709808824, max values: 6.0, median values: -0.1125483250506399, and quantile values: 0.25 -0.601946\n0.50 -0.112548\n0.75 0.480314\nName: 14111, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.055686133653684425, std values: 0.9054798469234847, min values: -2.5293911731823453, max values: 3.0, median values: 0.1255922637996724, and quantile values: 0.25 -0.439891\n0.50 0.125592\n0.75 0.628385\nName: 14112, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09942025002709094, std values: 0.9870104631418704, min values: -2.789830374413015, max values: 3.3636961113187773, median values: 0.2113857892066711, and quantile values: 0.25 -0.510738\n0.50 0.211386\n0.75 0.841574\nName: 14113, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29213125432640547, std values: 0.939512844015723, min values: -3.074005993202373, max values: 3.496479817235339, median values: 0.3884610712679324, and quantile values: 0.25 -0.252466\n0.50 0.388461\n0.75 0.960628\nName: 14114, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.418654914544093, std values: 1.006882796718657, min values: -2.879968592907284, max values: 4.0, median values: 0.5649378785154696, and quantile values: 0.25 -0.177650\n0.50 0.564938\n0.75 1.178338\nName: 14115, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1010030032918179, std values: 0.898580704389801, min values: -2.6652153608723106, max values: 5.0, median values: 0.1850693034087193, and quantile values: 0.25 -0.462999\n0.50 0.185069\n0.75 0.668050\nName: 14116, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06514344775126536, std values: 1.1002718499695043, min values: -2.8467638118011016, max values: 5.0, median values: 0.0922496761660925, and quantile values: 0.25 -0.623877\n0.50 0.092250\n0.75 0.636532\nName: 14117, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3358710628423981, std values: 1.0944881839919955, min values: -2.7230534645798463, max values: 3.0, median values: -0.3779055441136957, and quantile values: 0.25 -1.151391\n0.50 -0.377906\n0.75 0.433651\nName: 14118, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24584549561405442, std values: 0.979476335504406, min values: -2.6466193392086392, max values: 4.0, median values: -0.2691621858869081, and quantile values: 0.25 -0.869795\n0.50 -0.269162\n0.75 0.372538\nName: 14119, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5159828863035693, std values: 0.7638563330406383, min values: -2.2915911556076085, max values: 3.5581019918925243, median values: 0.5557870999763829, and quantile values: 0.25 0.030022\n0.50 0.555787\n0.75 1.012219\nName: 14120, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2475694595686326, std values: 0.8129028219560355, min values: -2.482931728382393, max values: 3.5908526919299577, median values: -0.3233611222410398, and quantile values: 0.25 -0.787061\n0.50 -0.323361\n0.75 0.211611\nName: 14121, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23835288323738088, std values: 0.8201093419970684, min values: -2.579723791499676, max values: 4.0, median values: -0.3242577608959589, and quantile values: 0.25 -0.805933\n0.50 -0.324258\n0.75 0.226351\nName: 14122, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08387015625964393, std values: 0.9204742769220075, min values: -2.9666813816765707, max values: 4.0, median values: 0.0465058285868246, and quantile values: 0.25 -0.460136\n0.50 0.046506\n0.75 0.632955\nName: 14123, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07830575403721937, std values: 0.8474783324114235, min values: -2.047302085077502, max values: 3.0533207538164056, median values: -0.2022157479172533, and quantile values: 0.25 -0.679200\n0.50 -0.202216\n0.75 0.436249\nName: 14124, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11677621374896535, std values: 0.8348431535422873, min values: -2.7648443048846945, max values: 3.397048482165858, median values: -0.1083631967010993, and quantile values: 0.25 -0.725475\n0.50 -0.108363\n0.75 0.419724\nName: 14125, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24752225400606426, std values: 0.8144071926782441, min values: -2.688157591415518, max values: 5.0, median values: -0.3574982287656945, and quantile values: 0.25 -0.805324\n0.50 -0.357498\n0.75 0.231424\nName: 14126, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02885640698183402, std values: 0.8544015598252638, min values: -2.0720360108781377, max values: 6.0, median values: 0.0213672178214143, and quantile values: 0.25 -0.643488\n0.50 0.021367\n0.75 0.570540\nName: 14127, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06788533768472849, std values: 0.8454995393060443, min values: -2.3922473154067863, max values: 5.0, median values: -0.1408876605101584, and quantile values: 0.25 -0.685913\n0.50 -0.140888\n0.75 0.489659\nName: 14128, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18314871997218476, std values: 1.063202783902965, min values: -2.5743883495350026, max values: 5.0, median values: 0.3654710028553815, and quantile values: 0.25 -0.437419\n0.50 0.365471\n0.75 0.971935\nName: 14129, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21488110452603199, std values: 0.9166909927643884, min values: -1.9055176884171128, max values: 3.5581019918925243, median values: 0.1793846486680063, and quantile values: 0.25 -0.492900\n0.50 0.179385\n0.75 0.892233\nName: 14130, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30932683324417676, std values: 1.1544484563303976, min values: -2.9472833478224456, max values: 6.0, median values: -0.3177268326804317, and quantile values: 0.25 -1.155230\n0.50 -0.317727\n0.75 0.398584\nName: 14131, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2582566609203707, std values: 0.8431756452634405, min values: -2.7257183488872623, max values: 5.0, median values: 0.2164012185850418, and quantile values: 0.25 -0.305065\n0.50 0.216401\n0.75 0.828391\nName: 14132, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37523360537197353, std values: 0.8841565867237862, min values: -2.5631960397140583, max values: 4.0, median values: -0.5188157191818132, and quantile values: 0.25 -1.019246\n0.50 -0.518816\n0.75 0.185769\nName: 14133, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08925284638209079, std values: 0.8484233701372643, min values: -2.087432639025188, max values: 4.0, median values: 0.0772196959665275, and quantile values: 0.25 -0.46639\n0.50 0.07722\n0.75 0.64637\nName: 14134, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5478717516762718, std values: 1.0787715313051265, min values: -2.8834699678265463, max values: 5.0, median values: -0.5468907522788405, and quantile values: 0.25 -1.172869\n0.50 -0.546891\n0.75 0.190578\nName: 14135, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20823609027274598, std values: 0.8475288412176976, min values: -2.072108449798908, max values: 3.8226908388056136, median values: 0.2283137586413746, and quantile values: 0.25 -0.350402\n0.50 0.228314\n0.75 0.742215\nName: 14136, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40833466131926105, std values: 1.2416038924886554, min values: -2.7428415536925543, max values: 5.0, median values: 0.4970091523713458, and quantile values: 0.25 -0.457009\n0.50 0.497009\n0.75 1.423079\nName: 14137, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.47912639009803315, std values: 1.1479337563296015, min values: -2.9109251266226006, max values: 3.627976272701048, median values: -0.3014725512252761, and quantile values: 0.25 -1.345560\n0.50 -0.301473\n0.75 0.417680\nName: 14138, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09590818814106426, std values: 0.8172810489475917, min values: -2.869671295224012, max values: 6.0, median values: 0.1632089021737312, and quantile values: 0.25 -0.308298\n0.50 0.163209\n0.75 0.553765\nName: 14139, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2180627158679502, std values: 0.8904026363683087, min values: -2.143127839894852, max values: 5.0, median values: -0.2933698442095245, and quantile values: 0.25 -0.874982\n0.50 -0.293370\n0.75 0.366759\nName: 14140, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32064816002061347, std values: 0.7919337948187383, min values: -2.446475285346346, max values: 3.047545592545638, median values: -0.427945614361766, and quantile values: 0.25 -0.897948\n0.50 -0.427946\n0.75 0.206656\nName: 14141, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30927491751912173, std values: 1.1114932618170785, min values: -2.558791007225312, max values: 3.1047159712539405, median values: -0.1388297219895642, and quantile values: 0.25 -1.075485\n0.50 -0.138830\n0.75 0.467281\nName: 14142, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4825235860492376, std values: 1.1598484555624842, min values: -2.92272757463548, max values: 6.0, median values: -0.4304855824341169, and quantile values: 0.25 -1.455934\n0.50 -0.430486\n0.75 0.390368\nName: 14143, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5383725883412949, std values: 1.0292949464751233, min values: -2.439930808627264, max values: 4.0, median values: 0.5013137971655914, and quantile values: 0.25 -0.248260\n0.50 0.501314\n0.75 1.385901\nName: 14144, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06214585633641633, std values: 0.8780045136937691, min values: -2.605098146828148, max values: 6.0, median values: -0.0543861594362578, and quantile values: 0.25 -0.709063\n0.50 -0.054386\n0.75 0.528782\nName: 14145, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04459447158854009, std values: 0.840560244851352, min values: -2.541693081833126, max values: 3.9905524164385566, median values: -0.0306560564864903, and quantile values: 0.25 -0.510227\n0.50 -0.030656\n0.75 0.597928\nName: 14146, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 1.0257809739692851, std values: 1.0291253354779728, min values: -2.264034258932616, max values: 3.528773265847577, median values: 1.125799267276054, and quantile values: 0.25 0.301695\n0.50 1.125799\n0.75 1.859522\nName: 14147, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0030104278176625045, std values: 0.907133390938976, min values: -2.732564679617164, max values: 3.0, median values: -0.0427915088465184, and quantile values: 0.25 -0.618018\n0.50 -0.042792\n0.75 0.579574\nName: 14148, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4306271588903857, std values: 1.0917208478381129, min values: -2.6820581866633817, max values: 3.438667023696733, median values: -0.3476491181915974, and quantile values: 0.25 -1.103012\n0.50 -0.347649\n0.75 0.264742\nName: 14149, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15575552982363924, std values: 0.8030316335475893, min values: -2.085005777586541, max values: 3.0, median values: -0.201960934808087, and quantile values: 0.25 -0.684307\n0.50 -0.201961\n0.75 0.310031\nName: 14150, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44417459262978254, std values: 0.8521368927527503, min values: -2.525881048269423, max values: 3.241738645014612, median values: 0.5158070534241718, and quantile values: 0.25 -0.061313\n0.50 0.515807\n0.75 0.992617\nName: 14151, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38314127174962803, std values: 0.7974137022989699, min values: -2.2915911556076085, max values: 3.362228250221886, median values: 0.4746856723152006, and quantile values: 0.25 -0.139493\n0.50 0.474686\n0.75 0.920216\nName: 14152, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2656631323002155, std values: 0.868272813213531, min values: -2.64479559868397, max values: 6.0, median values: 0.3784894376101175, and quantile values: 0.25 -0.252205\n0.50 0.378489\n0.75 0.829556\nName: 14153, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22918800717468735, std values: 0.9048621149836232, min values: -2.9265160609644223, max values: 6.0, median values: -0.1377270181408323, and quantile values: 0.25 -0.718256\n0.50 -0.137727\n0.75 0.361431\nName: 14154, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.018790738606044813, std values: 1.0324617604342274, min values: -2.879968592907284, max values: 4.0, median values: 0.0594521485103749, and quantile values: 0.25 -0.647598\n0.50 0.059452\n0.75 0.701356\nName: 14155, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05384951617596208, std values: 0.9349300711238882, min values: -2.58513369695146, max values: 4.0, median values: 0.1967077418153069, and quantile values: 0.25 -0.434144\n0.50 0.196708\n0.75 0.651275\nName: 14156, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.025907213069891383, std values: 0.8306851430698284, min values: -2.072580019544124, max values: 4.243835016543704, median values: -0.0453176766284798, and quantile values: 0.25 -0.566817\n0.50 -0.045318\n0.75 0.476512\nName: 14157, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.046223022651659625, std values: 0.9229417095399103, min values: -2.72346435408924, max values: 4.0, median values: 0.016221366759124, and quantile values: 0.25 -0.579351\n0.50 0.016221\n0.75 0.511223\nName: 14158, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33506731130819906, std values: 0.8037352896251803, min values: -1.9308247847065363, max values: 6.0, median values: 0.3654962697958936, and quantile values: 0.25 -0.176139\n0.50 0.365496\n0.75 0.837909\nName: 14159, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24005986715737682, std values: 0.8431641904968358, min values: -2.1795576641099137, max values: 5.0, median values: -0.3326216381203173, and quantile values: 0.25 -0.830312\n0.50 -0.332622\n0.75 0.301230\nName: 14160, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3346951918465092, std values: 0.9372182746915313, min values: -2.656810538159504, max values: 5.0, median values: -0.4550685148781862, and quantile values: 0.25 -1.064550\n0.50 -0.455069\n0.75 0.272047\nName: 14161, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24943707615506247, std values: 0.8415807756391585, min values: -2.067884917892885, max values: 6.0, median values: 0.1808681039676511, and quantile values: 0.25 -0.301202\n0.50 0.180868\n0.75 0.777190\nName: 14162, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06667870645514494, std values: 0.8500717458079728, min values: -2.580492024304656, max values: 3.721862465295849, median values: -0.1377985976810802, and quantile values: 0.25 -0.700652\n0.50 -0.137799\n0.75 0.485854\nName: 14163, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5539823778659494, std values: 0.855787111736849, min values: -2.27710446206836, max values: 3.434669824302974, median values: 0.5736853126052927, and quantile values: 0.25 -0.069992\n0.50 0.573685\n0.75 1.233952\nName: 14164, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16987626797392166, std values: 0.8479736791854884, min values: -2.09776205448632, max values: 5.0, median values: -0.2871084206878172, and quantile values: 0.25 -0.750680\n0.50 -0.287108\n0.75 0.349674\nName: 14165, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13754705524309593, std values: 0.794555410043786, min values: -2.8834699678265463, max values: 5.0, median values: 0.1782093607795208, and quantile values: 0.25 -0.397346\n0.50 0.178209\n0.75 0.649971\nName: 14166, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15273309378413133, std values: 0.8799935837376341, min values: -1.9847127025800384, max values: 3.3014869995452325, median values: 0.0973397336097515, and quantile values: 0.25 -0.482132\n0.50 0.097340\n0.75 0.680838\nName: 14167, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1934490219921207, std values: 0.7677065232485852, min values: -2.134449825097116, max values: 5.0, median values: 0.2198136863310452, and quantile values: 0.25 -0.289579\n0.50 0.219814\n0.75 0.680600\nName: 14168, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31737384861848306, std values: 0.990362322760639, min values: -2.693453432157769, max values: 3.438667023696733, median values: 0.2875271383275382, and quantile values: 0.25 -0.428516\n0.50 0.287527\n0.75 1.151444\nName: 14169, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0775361847406681, std values: 0.8749906513563369, min values: -2.58513369695146, max values: 4.0, median values: -0.1287850090008409, and quantile values: 0.25 -0.620921\n0.50 -0.128785\n0.75 0.498310\nName: 14170, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13213259235270194, std values: 1.2126089903545576, min values: -2.7211321814067784, max values: 3.5021977227593246, median values: 0.3541803997733794, and quantile values: 0.25 -0.579275\n0.50 0.354180\n0.75 1.025097\nName: 14171, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34719437094243893, std values: 0.8806980891602799, min values: -1.8963656656117789, max values: 6.0, median values: 0.4149532972028125, and quantile values: 0.25 -0.251727\n0.50 0.414953\n0.75 0.973596\nName: 14172, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09819446567172052, std values: 0.8765209615210054, min values: -2.066007078712104, max values: 6.0, median values: 0.0098867744550702, and quantile values: 0.25 -0.519861\n0.50 0.009887\n0.75 0.687888\nName: 14173, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17966961749100713, std values: 0.8115018385379388, min values: -2.035620721699804, max values: 3.0418703198091483, median values: 0.2326845900690225, and quantile values: 0.25 -0.380775\n0.50 0.232685\n0.75 0.814269\nName: 14174, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22203204167504573, std values: 0.9992129668267455, min values: -2.6800544037614658, max values: 4.026668017837955, median values: -0.233534581125223, and quantile values: 0.25 -0.850193\n0.50 -0.233535\n0.75 0.422975\nName: 14175, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3394682432704618, std values: 1.0038212085647464, min values: -2.5832619696830608, max values: 6.0, median values: 0.3004833665386501, and quantile values: 0.25 -0.446524\n0.50 0.300483\n0.75 1.111946\nName: 14176, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.014306258709511369, std values: 0.8423246105796692, min values: -2.4737574649270093, max values: 3.281452258958016, median values: -0.0229147136658008, and quantile values: 0.25 -0.598765\n0.50 -0.022915\n0.75 0.581817\nName: 14177, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09093582820535587, std values: 1.1276219637868987, min values: -2.608390851963037, max values: 5.0, median values: 0.1608596903323942, and quantile values: 0.25 -0.738112\n0.50 0.160860\n0.75 0.696083\nName: 14178, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5328847484518251, std values: 0.9590847888791385, min values: -1.9024807905024488, max values: 5.0, median values: 0.5112767918471737, and quantile values: 0.25 -0.113072\n0.50 0.511277\n0.75 1.180280\nName: 14179, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05714396542006919, std values: 1.0600338161336826, min values: -2.5122218748354936, max values: 3.17157439250477, median values: -0.1002455080982938, and quantile values: 0.25 -0.745457\n0.50 -0.100246\n0.75 0.659046\nName: 14180, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2365355509758779, std values: 0.9286549105814489, min values: -2.825926939679757, max values: 3.397048482165858, median values: 0.305007604769697, and quantile values: 0.25 -0.359237\n0.50 0.305008\n0.75 0.895021\nName: 14181, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1517835127579261, std values: 0.8961059388308219, min values: -2.6270253558526173, max values: 4.0, median values: -0.0431700103703908, and quantile values: 0.25 -0.697592\n0.50 -0.043170\n0.75 0.451376\nName: 14182, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8339311192835419, std values: 1.0332099918389037, min values: -2.9622221028070275, max values: 4.0, median values: -0.8565490875498334, and quantile values: 0.25 -1.576221\n0.50 -0.856549\n0.75 -0.117671\nName: 14183, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28676049780890484, std values: 0.7759198326926445, min values: -2.710223074556336, max values: 4.0, median values: 0.3266251449928197, and quantile values: 0.25 -0.197900\n0.50 0.326625\n0.75 0.763517\nName: 14184, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4022672751323911, std values: 1.1081910820225236, min values: -2.442256129120324, max values: 6.0, median values: 0.4285829394560156, and quantile values: 0.25 -0.444608\n0.50 0.428583\n0.75 1.293856\nName: 14185, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24038770677543816, std values: 1.0004595456585514, min values: -2.9278427058120164, max values: 6.0, median values: 0.2379815836828717, and quantile values: 0.25 -0.604299\n0.50 0.237982\n0.75 1.020914\nName: 14186, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38196790364754374, std values: 0.8394994136713535, min values: -2.171554185805986, max values: 5.0, median values: -0.3904867320556183, and quantile values: 0.25 -1.027849\n0.50 -0.390487\n0.75 0.185713\nName: 14187, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.015544627349940046, std values: 0.9881677859662364, min values: -2.5859127503381347, max values: 3.9905524164385566, median values: 0.0365528065457363, and quantile values: 0.25 -0.589368\n0.50 0.036553\n0.75 0.600776\nName: 14188, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.016356558883858213, std values: 1.0881939805864667, min values: -2.8531572940820533, max values: 6.0, median values: -0.033874722307132, and quantile values: 0.25 -0.823923\n0.50 -0.033875\n0.75 0.808375\nName: 14189, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.009098622849383307, std values: 0.9926025449743725, min values: -2.3184884946917497, max values: 6.0, median values: 0.0034424209312956, and quantile values: 0.25 -0.820146\n0.50 0.003442\n0.75 0.758955\nName: 14190, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2323389271753062, std values: 0.9023471284092429, min values: -2.579723791499676, max values: 4.0, median values: 0.1826319746767859, and quantile values: 0.25 -0.463537\n0.50 0.182632\n0.75 0.883896\nName: 14191, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.00544473335878766, std values: 0.8151890207919282, min values: -2.086946282658587, max values: 3.2328207660681025, median values: 0.0144861853063711, and quantile values: 0.25 -0.570568\n0.50 0.014486\n0.75 0.491905\nName: 14192, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1518777903990747, std values: 0.8793929227342008, min values: -2.891990595045606, max values: 6.0, median values: -0.1162119276495093, and quantile values: 0.25 -0.633762\n0.50 -0.116212\n0.75 0.350377\nName: 14193, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.618840250236392, std values: 0.8116533366307875, min values: -2.3184884946917497, max values: 6.0, median values: 0.6915990010546185, and quantile values: 0.25 0.145172\n0.50 0.691599\n0.75 1.149583\nName: 14194, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11100962007799547, std values: 0.8503955028160805, min values: -2.657750824678472, max values: 5.0, median values: -0.1183366449870753, and quantile values: 0.25 -0.717537\n0.50 -0.118337\n0.75 0.440021\nName: 14195, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32790766078728784, std values: 0.909737974837997, min values: -2.8680719719444903, max values: 3.2696814875916886, median values: 0.4359000474355444, and quantile values: 0.25 -0.170827\n0.50 0.435900\n0.75 0.957139\nName: 14196, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18061005934792432, std values: 0.9310875257080352, min values: -2.90140378513671, max values: 3.5021977227593246, median values: 0.1746926239452235, and quantile values: 0.25 -0.356944\n0.50 0.174693\n0.75 0.768243\nName: 14197, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49630096777269633, std values: 0.8113999093209568, min values: -2.169018218085154, max values: 3.2701555622463814, median values: -0.6564138221905316, and quantile values: 0.25 -1.072739\n0.50 -0.656414\n0.75 -0.038482\nName: 14198, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19102222502111402, std values: 1.0635644097588337, min values: -2.607565022042742, max values: 4.0, median values: -0.309000080463844, and quantile values: 0.25 -0.922049\n0.50 -0.309000\n0.75 0.464894\nName: 14199, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49313611111054945, std values: 0.7258566055717275, min values: -2.087919489660226, max values: 4.0, median values: 0.5777119934280913, and quantile values: 0.25 0.070725\n0.50 0.577712\n0.75 0.960551\nName: 14200, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1890576796390568, std values: 0.7835660154398439, min values: -2.5445249319512966, max values: 3.0533207538164056, median values: 0.2048567775614827, and quantile values: 0.25 -0.313465\n0.50 0.204857\n0.75 0.673004\nName: 14201, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5661183607247509, std values: 1.1228217405583092, min values: -2.085005777586541, max values: 3.390469008396469, median values: 0.6886364679731413, and quantile values: 0.25 -0.231810\n0.50 0.688636\n0.75 1.438290\nName: 14202, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2595601499853629, std values: 0.827000138370694, min values: -2.337668011927108, max values: 6.0, median values: 0.2288791255987754, and quantile values: 0.25 -0.274134\n0.50 0.228879\n0.75 0.797852\nName: 14203, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14080205065302956, std values: 0.9058434153682694, min values: -2.1536471558383585, max values: 5.0, median values: -0.1838192252907604, and quantile values: 0.25 -0.815958\n0.50 -0.183819\n0.75 0.460381\nName: 14204, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42610196327360483, std values: 0.8630474872185363, min values: -2.7016525309724218, max values: 3.1166497049712243, median values: -0.5353444436259742, and quantile values: 0.25 -1.011351\n0.50 -0.535344\n0.75 0.058637\nName: 14205, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8400385001385644, std values: 0.9940986423604307, min values: -2.6117120822772133, max values: 5.0, median values: -1.0066722762116558, and quantile values: 0.25 -1.623465\n0.50 -1.006672\n0.75 -0.170518\nName: 14206, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07440178637199489, std values: 0.7269188349910015, min values: -2.873069976951463, max values: 3.0, median values: 0.0902032689634373, and quantile values: 0.25 -0.399449\n0.50 0.090203\n0.75 0.519374\nName: 14207, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5128486909405919, std values: 0.9509310820671877, min values: -2.783691185534105, max values: 3.434669824302974, median values: 0.5737410375720201, and quantile values: 0.25 -0.149069\n0.50 0.573741\n0.75 1.234230\nName: 14208, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2079829223924117, std values: 1.1535187452380082, min values: -2.6800544037614658, max values: 4.0, median values: -0.2146818410488149, and quantile values: 0.25 -1.165796\n0.50 -0.214682\n0.75 0.654570\nName: 14209, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2160498207026779, std values: 0.993735023888726, min values: -2.161181455793125, max values: 6.0, median values: -0.237276555812249, and quantile values: 0.25 -1.014259\n0.50 -0.237277\n0.75 0.450422\nName: 14210, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01994629093167951, std values: 0.7764228272935194, min values: -2.196708653609315, max values: 6.0, median values: -0.0885995926405368, and quantile values: 0.25 -0.534317\n0.50 -0.088600\n0.75 0.490569\nName: 14211, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4867747929776606, std values: 1.1916314479036403, min values: -2.732564679617164, max values: 3.405671179043623, median values: 0.6183162479152772, and quantile values: 0.25 -0.067457\n0.50 0.618316\n0.75 1.229056\nName: 14212, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49427939555940525, std values: 1.1376718150109641, min values: -2.9029979285382743, max values: 3.0315977762793005, median values: -0.3468885932268726, and quantile values: 0.25 -1.162144\n0.50 -0.346889\n0.75 0.313993\nName: 14213, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4246319890312777, std values: 0.9249863077385079, min values: -2.1012159016010257, max values: 6.0, median values: 0.4893273290944047, and quantile values: 0.25 -0.196848\n0.50 0.489327\n0.75 1.049766\nName: 14214, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05769479353171271, std values: 0.9339354203484014, min values: -2.3937380876386865, max values: 4.0, median values: -0.087274719461688, and quantile values: 0.25 -0.816941\n0.50 -0.087275\n0.75 0.610239\nName: 14215, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13157378033002776, std values: 0.7868880531236244, min values: -2.0287261898628506, max values: 4.0, median values: 0.1933115163548443, and quantile values: 0.25 -0.409704\n0.50 0.193312\n0.75 0.668287\nName: 14216, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24736898947802607, std values: 0.8451054861957946, min values: -2.0279821064908434, max values: 5.0, median values: 0.1867779173822736, and quantile values: 0.25 -0.287552\n0.50 0.186778\n0.75 0.743710\nName: 14217, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7324637683069437, std values: 1.18543655287, min values: -3.066111439712689, max values: 3.670892362631932, median values: 0.6464320571050238, and quantile values: 0.25 -0.199225\n0.50 0.646432\n0.75 1.755887\nName: 14218, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43827213213600497, std values: 1.2578289806770393, min values: -2.7510671817729784, max values: 6.0, median values: -0.2678269494980593, and quantile values: 0.25 -1.714671\n0.50 -0.267827\n0.75 0.487125\nName: 14219, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05042340362985949, std values: 0.9176319564680163, min values: -2.6820581866633817, max values: 3.247416277295021, median values: -0.1467278340883789, and quantile values: 0.25 -0.617801\n0.50 -0.146728\n0.75 0.531965\nName: 14220, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.286398709359084, std values: 0.8067433787055215, min values: -2.1548749249906303, max values: 5.0, median values: 0.337313787324881, and quantile values: 0.25 -0.225382\n0.50 0.337314\n0.75 0.800585\nName: 14221, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4343785869540023, std values: 1.0922386722251032, min values: -2.572123985342288, max values: 5.0, median values: 0.4827694259827411, and quantile values: 0.25 -0.365774\n0.50 0.482769\n0.75 1.277575\nName: 14222, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.716303892313895, std values: 0.8788690082541655, min values: -2.679056533720636, max values: 5.0, median values: -0.8603805808103313, and quantile values: 0.25 -1.320913\n0.50 -0.860381\n0.75 -0.227127\nName: 14223, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03293776704127343, std values: 0.8302900721852086, min values: -2.4960309093026924, max values: 3.379902545505621, median values: -0.1401089113678593, and quantile values: 0.25 -0.632854\n0.50 -0.140109\n0.75 0.515510\nName: 14224, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.005171521259678248, std values: 0.7945120546919231, min values: -2.6023368942328267, max values: 3.349054967837474, median values: -0.0547203718497868, and quantile values: 0.25 -0.539693\n0.50 -0.054720\n0.75 0.500372\nName: 14225, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02376980578205099, std values: 0.9324328408655136, min values: -2.7510671817729784, max values: 6.0, median values: 0.0915859346175238, and quantile values: 0.25 -0.586782\n0.50 0.091586\n0.75 0.578623\nName: 14226, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16490963716791004, std values: 0.836133755993837, min values: -2.372995607737588, max values: 5.0, median values: -0.2215528668013053, and quantile values: 0.25 -0.720718\n0.50 -0.221553\n0.75 0.318111\nName: 14227, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07055164537816451, std values: 0.9977561706178749, min values: -2.315028661118274, max values: 6.0, median values: 0.0685439067042616, and quantile values: 0.25 -0.694250\n0.50 0.068544\n0.75 0.806162\nName: 14228, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15800391117346577, std values: 1.0714447551414372, min values: -2.9090251609554527, max values: 6.0, median values: 0.2449166618547141, and quantile values: 0.25 -0.304788\n0.50 0.244917\n0.75 0.818919\nName: 14229, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5258142112598698, std values: 0.8730709479876984, min values: -2.5569229852416258, max values: 4.0, median values: -0.6181848026811223, and quantile values: 0.25 -1.249587\n0.50 -0.618185\n0.75 0.065011\nName: 14230, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3571476139507043, std values: 0.8003197706766612, min values: -2.1879256785130043, max values: 3.415255285860171, median values: 0.3712632643596203, and quantile values: 0.25 -0.102100\n0.50 0.371263\n0.75 0.840665\nName: 14231, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3539609278190106, std values: 0.8093451937600129, min values: -2.447316448858905, max values: 3.025409039429847, median values: -0.4286709512486853, and quantile values: 0.25 -0.920098\n0.50 -0.428671\n0.75 0.089363\nName: 14232, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5487455659091384, std values: 0.9396537720188265, min values: -2.8563982925340614, max values: 4.0, median values: -0.5798537634543427, and quantile values: 0.25 -1.338102\n0.50 -0.579854\n0.75 0.110436\nName: 14233, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32787823836001695, std values: 1.0624570605406174, min values: -2.6026470237163752, max values: 4.0, median values: -0.4063391946596213, and quantile values: 0.25 -1.247938\n0.50 -0.406339\n0.75 0.429293\nName: 14234, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1461433636034779, std values: 0.8164476723348821, min values: -2.226424194672579, max values: 4.0, median values: -0.2178110214586022, and quantile values: 0.25 -0.706148\n0.50 -0.217811\n0.75 0.363873\nName: 14235, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32694745903365685, std values: 0.8441323069171832, min values: -2.842989614395848, max values: 5.0, median values: -0.2885170256389632, and quantile values: 0.25 -0.877200\n0.50 -0.288517\n0.75 0.201589\nName: 14236, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22053735243036296, std values: 0.7894073873446691, min values: -2.2038853164231766, max values: 2.713545878637352, median values: -0.2859510512352484, and quantile values: 0.25 -0.776594\n0.50 -0.285951\n0.75 0.246954\nName: 14237, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3391426997727489, std values: 0.9607980588283712, min values: -2.099755160224712, max values: 4.0, median values: -0.3985994221156101, and quantile values: 0.25 -1.176778\n0.50 -0.398599\n0.75 0.366457\nName: 14238, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5349615546901972, std values: 1.0431974462000497, min values: -2.92272757463548, max values: 6.0, median values: -0.5048768245058812, and quantile values: 0.25 -1.206626\n0.50 -0.504877\n0.75 0.182520\nName: 14239, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3275996325761921, std values: 0.9233815513319366, min values: -2.740813841730953, max values: 3.721862465295849, median values: -0.2857294710343924, and quantile values: 0.25 -1.004907\n0.50 -0.285729\n0.75 0.346801\nName: 14240, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3763045570699576, std values: 0.8775117098031403, min values: -2.7648443048846945, max values: 3.124705982383484, median values: 0.4705630235404066, and quantile values: 0.25 -0.222918\n0.50 0.470563\n0.75 0.988133\nName: 14241, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10464411022204312, std values: 0.8671803312743842, min values: -2.0506740011319087, max values: 5.0, median values: 0.1612452018162258, and quantile values: 0.25 -0.530921\n0.50 0.161245\n0.75 0.755214\nName: 14242, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2649838431003412, std values: 0.7904609155412187, min values: -2.1453227721253567, max values: 5.0, median values: 0.2379067541711549, and quantile values: 0.25 -0.229925\n0.50 0.237907\n0.75 0.753822\nName: 14243, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17979139172164096, std values: 0.9195411657321904, min values: -2.579723791499676, max values: 4.0, median values: 0.130048271822072, and quantile values: 0.25 -0.503052\n0.50 0.130048\n0.75 0.814767\nName: 14244, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.039285633002416005, std values: 0.8843029792863597, min values: -2.087432639025188, max values: 4.0, median values: -0.0722188700893925, and quantile values: 0.25 -0.587502\n0.50 -0.072219\n0.75 0.662781\nName: 14245, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04471091058544267, std values: 0.8315120477486758, min values: -2.047203159103292, max values: 4.0, median values: 0.0492269129119653, and quantile values: 0.25 -0.525931\n0.50 0.049227\n0.75 0.578982\nName: 14246, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09182250074217543, std values: 0.958280875424968, min values: -3.24173864501462, max values: 3.415255285860171, median values: -0.032077522832345, and quantile values: 0.25 -0.615553\n0.50 -0.032078\n0.75 0.476777\nName: 14247, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19122824347753048, std values: 0.9023482262199268, min values: -2.8563982925340614, max values: 4.0, median values: 0.2918489598182028, and quantile values: 0.25 -0.267820\n0.50 0.291849\n0.75 0.745519\nName: 14248, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1516801702227159, std values: 0.9451265815285577, min values: -2.815821936576896, max values: 3.0148736195915853, median values: -0.0433119500334341, and quantile values: 0.25 -0.669085\n0.50 -0.043312\n0.75 0.440776\nName: 14249, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07436390072027013, std values: 0.9831432796185487, min values: -2.63315074164461, max values: 6.0, median values: -0.0033797405728581, and quantile values: 0.25 -0.712471\n0.50 -0.003380\n0.75 0.588943\nName: 14250, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.007153954208866378, std values: 0.9380472441998835, min values: -2.6117120822772133, max values: 5.0, median values: -0.0980510015577582, and quantile values: 0.25 -0.751118\n0.50 -0.098051\n0.75 0.633022\nName: 14251, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.177788156874875, std values: 0.7163533338614968, min values: -2.589966702820638, max values: 6.0, median values: 0.1891324444040871, and quantile values: 0.25 -0.264881\n0.50 0.189132\n0.75 0.606327\nName: 14252, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05683311778021188, std values: 0.9243681802511822, min values: -2.7871422803648627, max values: 3.176672644814091, median values: 0.1079590530191372, and quantile values: 0.25 -0.575728\n0.50 0.107959\n0.75 0.703361\nName: 14253, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5591940171862628, std values: 0.9646162937548564, min values: -2.869671295224012, max values: 6.0, median values: -0.6623003344170275, and quantile values: 0.25 -1.230934\n0.50 -0.662300\n0.75 0.062151\nName: 14254, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3864046142940681, std values: 0.9127286981520312, min values: -2.209826040384377, max values: 3.163266084685921, median values: 0.4730943017023438, and quantile values: 0.25 -0.251329\n0.50 0.473094\n0.75 1.094626\nName: 14255, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4669380915642951, std values: 1.2062026592272381, min values: -2.769191083399913, max values: 3.1047159712539405, median values: -0.4747273477392809, and quantile values: 0.25 -1.317035\n0.50 -0.474727\n0.75 0.389149\nName: 14256, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04401259502664173, std values: 0.9137039203700998, min values: -2.6800544037614658, max values: 4.243835016543704, median values: -0.0704891533137702, and quantile values: 0.25 -0.570697\n0.50 -0.070489\n0.75 0.540234\nName: 14257, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13045759142460958, std values: 0.8829747082480152, min values: -2.6660404517971856, max values: 6.0, median values: 0.0769380607594088, and quantile values: 0.25 -0.553892\n0.50 0.076938\n0.75 0.785244\nName: 14258, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4690732489808778, std values: 0.8678486435986226, min values: -2.2919717543469726, max values: 6.0, median values: -0.5525760808492255, and quantile values: 0.25 -1.135690\n0.50 -0.552576\n0.75 0.102931\nName: 14259, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.053965002430177135, std values: 1.184702190797208, min values: -2.8834699678265463, max values: 5.0, median values: 0.1176397249242229, and quantile values: 0.25 -0.744125\n0.50 0.117640\n0.75 0.992765\nName: 14260, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01662842650523322, std values: 0.9676051364743482, min values: -3.236860296211546, max values: 3.5908526919299577, median values: 0.0479491421957627, and quantile values: 0.25 -0.702484\n0.50 0.047949\n0.75 0.736438\nName: 14261, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32412180448781847, std values: 1.0684039092014468, min values: -2.8246479422601736, max values: 5.0, median values: 0.4871291438980472, and quantile values: 0.25 -0.359943\n0.50 0.487129\n0.75 1.148759\nName: 14262, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.036567311133476624, std values: 0.8889901935572638, min values: -1.983480940102163, max values: 3.455472209455805, median values: -0.1684085824456847, and quantile values: 0.25 -0.712671\n0.50 -0.168409\n0.75 0.556655\nName: 14263, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1975543304491518, std values: 0.8528733335488945, min values: -2.139854677126992, max values: 6.0, median values: 0.2200997958720337, and quantile values: 0.25 -0.389031\n0.50 0.220100\n0.75 0.822738\nName: 14264, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08408758244775723, std values: 0.8360949025175588, min values: -2.279638670509252, max values: 6.0, median values: -0.1723645299083234, and quantile values: 0.25 -0.685375\n0.50 -0.172365\n0.75 0.465526\nName: 14265, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7327141143118745, std values: 0.8365819106406234, min values: -2.541693081833126, max values: 3.319774799707247, median values: 0.857384004973161, and quantile values: 0.25 0.228534\n0.50 0.857384\n0.75 1.318676\nName: 14266, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23583853672494637, std values: 0.8675145709907539, min values: -2.209826040384377, max values: 3.405671179043623, median values: 0.1806952818853702, and quantile values: 0.25 -0.339141\n0.50 0.180695\n0.75 0.814806\nName: 14267, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42485872308123007, std values: 1.0404697591715375, min values: -2.730840794324401, max values: 3.5908526919299577, median values: 0.4027225909390236, and quantile values: 0.25 -0.354268\n0.50 0.402723\n0.75 1.245456\nName: 14268, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.595341258067575, std values: 1.0408105226901172, min values: -2.221075353514828, max values: 3.9048392686725855, median values: 0.6749392717246739, and quantile values: 0.25 -0.154586\n0.50 0.674939\n0.75 1.402313\nName: 14269, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06152618335366783, std values: 0.7794768664837455, min values: -2.6850842010492566, max values: 6.0, median values: -0.1511250804106328, and quantile values: 0.25 -0.566618\n0.50 -0.151125\n0.75 0.381080\nName: 14270, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36571092572469915, std values: 0.7324921320512741, min values: -2.4788285026914285, max values: 4.0, median values: 0.3925932511695149, and quantile values: 0.25 -0.090397\n0.50 0.392593\n0.75 0.819617\nName: 14271, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3075452731695289, std values: 0.9761256992435544, min values: -2.589966702820638, max values: 6.0, median values: 0.26412964140718, and quantile values: 0.25 -0.391557\n0.50 0.264130\n0.75 1.004086\nName: 14272, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12010533371951244, std values: 0.7956520788596619, min values: -1.880729024882335, max values: 4.0, median values: 0.0215924991877452, and quantile values: 0.25 -0.446592\n0.50 0.021592\n0.75 0.630264\nName: 14273, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19686977798516928, std values: 0.8568236369028276, min values: -2.0999281303014694, max values: 3.670892362631932, median values: 0.1190854642095541, and quantile values: 0.25 -0.369647\n0.50 0.119085\n0.75 0.675573\nName: 14274, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27274550444999945, std values: 0.8728497685424712, min values: -2.221075353514828, max values: 3.721862465295849, median values: -0.3375736990455416, and quantile values: 0.25 -0.887647\n0.50 -0.337574\n0.75 0.174573\nName: 14275, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41822034292902577, std values: 0.8711320883127821, min values: -2.2646642745254217, max values: 2.211444750481086, median values: -0.4983182833351382, and quantile values: 0.25 -1.132834\n0.50 -0.498318\n0.75 0.248376\nName: 14276, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20483412664918133, std values: 0.7981775638675395, min values: -2.4125199145038643, max values: 4.0, median values: -0.2030601145957759, and quantile values: 0.25 -0.763112\n0.50 -0.203060\n0.75 0.293372\nName: 14277, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1419842049824396, std values: 0.8147573172726792, min values: -2.12073996675014, max values: 3.3636961113187773, median values: -0.1688437076384938, and quantile values: 0.25 -0.680808\n0.50 -0.168844\n0.75 0.342823\nName: 14278, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.459415921111266, std values: 0.9159359358796111, min values: -2.618746139350171, max values: 3.1227871431249503, median values: 0.5528564815371401, and quantile values: 0.25 -0.177902\n0.50 0.552856\n0.75 1.122898\nName: 14279, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08281595185660712, std values: 0.799107331257798, min values: -2.469941537133514, max values: 4.0, median values: -0.1966706085810354, and quantile values: 0.25 -0.647932\n0.50 -0.196671\n0.75 0.435027\nName: 14280, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.052000222551411006, std values: 0.8008385600553856, min values: -2.133376301904917, max values: 5.0, median values: -0.0425786044368329, and quantile values: 0.25 -0.476115\n0.50 -0.042579\n0.75 0.539331\nName: 14281, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14981589064737086, std values: 0.7313304498027112, min values: -1.6974761318712048, max values: 6.0, median values: 0.0981698699563716, and quantile values: 0.25 -0.329319\n0.50 0.098170\n0.75 0.605996\nName: 14282, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04003876040340131, std values: 0.8058440228969593, min values: -2.6685266729136536, max values: 6.0, median values: -0.0837402789780757, and quantile values: 0.25 -0.632282\n0.50 -0.083740\n0.75 0.493864\nName: 14283, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.059809058274484246, std values: 0.7582637419577017, min values: -2.6404955031131814, max values: 6.0, median values: -0.0638091676218916, and quantile values: 0.25 -0.562936\n0.50 -0.063809\n0.75 0.407751\nName: 14284, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1192499136296874, std values: 1.015115782845652, min values: -3.2266531185902174, max values: 3.477886732511886, median values: 0.2674839994656039, and quantile values: 0.25 -0.560743\n0.50 0.267484\n0.75 0.894076\nName: 14285, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25024602177419747, std values: 0.8699990870535866, min values: -2.3922473154067863, max values: 3.9905524164385566, median values: -0.2931477875341735, and quantile values: 0.25 -0.858261\n0.50 -0.293148\n0.75 0.301634\nName: 14286, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.007574983595734569, std values: 0.961617556064555, min values: -2.64479559868397, max values: 6.0, median values: -0.0420649331087748, and quantile values: 0.25 -0.741966\n0.50 -0.042065\n0.75 0.683702\nName: 14287, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08786034886614902, std values: 0.8873677191551432, min values: -2.589966702820638, max values: 6.0, median values: -0.1792060238812276, and quantile values: 0.25 -0.721718\n0.50 -0.179206\n0.75 0.494891\nName: 14288, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.043995063810662906, std values: 0.8110361060917838, min values: -2.5689076212724418, max values: 5.0, median values: -0.0427441965881913, and quantile values: 0.25 -0.593666\n0.50 -0.042744\n0.75 0.450721\nName: 14289, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08480446110275786, std values: 0.7369114831515512, min values: -2.8843374390620142, max values: 6.0, median values: -0.1509816463061873, and quantile values: 0.25 -0.548218\n0.50 -0.150982\n0.75 0.330381\nName: 14290, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0019370737365771449, std values: 0.7297087709998957, min values: -2.0618486359083783, max values: 5.0, median values: -0.0178188784568355, and quantile values: 0.25 -0.473575\n0.50 -0.017819\n0.75 0.448016\nName: 14291, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14906104778723034, std values: 0.8191151826835873, min values: -2.5039074859839925, max values: 4.0, median values: 0.0910881549494142, and quantile values: 0.25 -0.400673\n0.50 0.091088\n0.75 0.670859\nName: 14292, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3675333285090459, std values: 0.9691625288729466, min values: -2.5820330744015787, max values: 4.0, median values: -0.4426330131622785, and quantile values: 0.25 -1.131893\n0.50 -0.442633\n0.75 0.327968\nName: 14293, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3899497191875348, std values: 1.1867383344955134, min values: -2.769191083399913, max values: 3.784832159836258, median values: -0.4847382806580972, and quantile values: 0.25 -1.145428\n0.50 -0.484738\n0.75 0.428492\nName: 14294, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2078541548352756, std values: 0.8199464302799326, min values: -2.6635706018350787, max values: 3.9905524164385566, median values: -0.2733429999720876, and quantile values: 0.25 -0.784661\n0.50 -0.273343\n0.75 0.267050\nName: 14295, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4011383185841776, std values: 0.9996082426978576, min values: -2.873069976951463, max values: 4.243835016543704, median values: -0.4174997621216002, and quantile values: 0.25 -1.051584\n0.50 -0.417500\n0.75 0.204098\nName: 14296, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3353764129167697, std values: 0.8265134937692799, min values: -1.995486066459493, max values: 3.415255285860171, median values: 0.3689094572391928, and quantile values: 0.25 -0.200977\n0.50 0.368909\n0.75 0.869243\nName: 14297, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.046149083340558436, std values: 0.9273532565751361, min values: -2.113406475564999, max values: 5.0, median values: -0.0546701954423425, and quantile values: 0.25 -0.774736\n0.50 -0.054670\n0.75 0.683019\nName: 14298, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19434758466119367, std values: 0.917626990243797, min values: -2.1227739687253626, max values: 3.0, median values: 0.1406146235020146, and quantile values: 0.25 -0.477306\n0.50 0.140615\n0.75 0.832980\nName: 14299, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05135453481777713, std values: 1.0171881020512465, min values: -2.5399045531878324, max values: 4.0, median values: -0.1067467274976083, and quantile values: 0.25 -0.741512\n0.50 -0.106747\n0.75 0.665836\nName: 14300, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04299604373496695, std values: 0.8192259370859784, min values: -2.118728602694946, max values: 3.0, median values: -0.0412065996711609, and quantile values: 0.25 -0.571792\n0.50 -0.041207\n0.75 0.451306\nName: 14301, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.037089839705609244, std values: 0.7442888476811947, min values: -1.9968374791061445, max values: 3.0, median values: -0.0776562251744461, and quantile values: 0.25 -0.513498\n0.50 -0.077656\n0.75 0.401211\nName: 14302, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23592487764317008, std values: 0.9807928268813245, min values: -2.4823451998031074, max values: 3.197902420311553, median values: 0.1624185572677741, and quantile values: 0.25 -0.488582\n0.50 0.162419\n0.75 0.932658\nName: 14303, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2932913488954859, std values: 0.7832907041980272, min values: -2.4737574649270093, max values: 3.784832159836258, median values: 0.3408407551545086, and quantile values: 0.25 -0.240900\n0.50 0.340841\n0.75 0.842681\nName: 14304, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06380099675247951, std values: 0.8897611179251046, min values: -2.739804196611005, max values: 6.0, median values: -0.0313173173987656, and quantile values: 0.25 -0.676496\n0.50 -0.031317\n0.75 0.515951\nName: 14305, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09889693236457436, std values: 0.8611852626892946, min values: -2.5825978442440407, max values: 6.0, median values: -0.1723924814323286, and quantile values: 0.25 -0.753164\n0.50 -0.172392\n0.75 0.471857\nName: 14306, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24735674250296039, std values: 0.8177143257138411, min values: -2.104667097879677, max values: 4.0, median values: 0.2969000276594657, and quantile values: 0.25 -0.300261\n0.50 0.296900\n0.75 0.775119\nName: 14307, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11893871969269816, std values: 0.8817726864366294, min values: -2.122310313835986, max values: 4.278004674434932, median values: 0.0709867212357031, and quantile values: 0.25 -0.492154\n0.50 0.070987\n0.75 0.649056\nName: 14308, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03830657012723959, std values: 0.9044316573513906, min values: -2.108143545940988, max values: 5.0, median values: -0.1231913006779692, and quantile values: 0.25 -0.750271\n0.50 -0.123191\n0.75 0.596290\nName: 14309, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07934093079171865, std values: 0.9215594219355258, min values: -2.579952672199424, max values: 6.0, median values: -0.1344589650167799, and quantile values: 0.25 -0.800003\n0.50 -0.134459\n0.75 0.580329\nName: 14310, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1933689605243464, std values: 0.8328181014059157, min values: -2.6603025395856053, max values: 5.0, median values: -0.1765887734322533, and quantile values: 0.25 -0.718271\n0.50 -0.176589\n0.75 0.313217\nName: 14311, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3730702360599685, std values: 1.130122907250083, min values: -2.622709665346679, max values: 3.9048392686725855, median values: -0.5319676418389206, and quantile values: 0.25 -1.253934\n0.50 -0.531968\n0.75 0.447924\nName: 14312, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.00961631380123239, std values: 0.7610427185668114, min values: -2.0640140184960183, max values: 4.0, median values: -0.0614789136869468, and quantile values: 0.25 -0.493633\n0.50 -0.061479\n0.75 0.474573\nName: 14313, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34816475284388354, std values: 0.8372368184893721, min values: -2.947062251106049, max values: 3.250922035035844, median values: -0.3214075529530258, and quantile values: 0.25 -0.933644\n0.50 -0.321408\n0.75 0.215405\nName: 14314, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17688027372084736, std values: 1.039578501505883, min values: -2.778044916685896, max values: 3.2906806286429298, median values: -0.2227205309234464, and quantile values: 0.25 -0.818592\n0.50 -0.222721\n0.75 0.483566\nName: 14315, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02820234975221141, std values: 1.050005196067237, min values: -3.424801219647557, max values: 3.2266531185902125, median values: 0.1509816463061875, and quantile values: 0.25 -0.720659\n0.50 0.150982\n0.75 0.814996\nName: 14316, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22149352569293257, std values: 0.8805589099130817, min values: -2.955641696055872, max values: 3.17157439250477, median values: 0.3583045565400361, and quantile values: 0.25 -0.261439\n0.50 0.358305\n0.75 0.798184\nName: 14317, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.442643490828355, std values: 0.9798139416910049, min values: -2.730840794324401, max values: 3.867701659180865, median values: 0.570901329581252, and quantile values: 0.25 -0.241024\n0.50 0.570901\n0.75 1.175888\nName: 14318, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19452909928866566, std values: 1.0368928202267287, min values: -2.9090251609554527, max values: 6.0, median values: 0.0033598025142496, and quantile values: 0.25 -0.688337\n0.50 0.003360\n0.75 0.494968\nName: 14319, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4485342931348189, std values: 0.85529261459836, min values: -2.156806272086999, max values: 3.1841025362512254, median values: 0.4852139860432535, and quantile values: 0.25 -0.140331\n0.50 0.485214\n0.75 1.054959\nName: 14320, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7120632806839177, std values: 1.0152673775178926, min values: -2.8246479422601736, max values: 5.0, median values: -0.8402093178035864, and quantile values: 0.25 -1.505776\n0.50 -0.840209\n0.75 -0.052280\nName: 14321, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3662310819358788, std values: 1.1804434407541056, min values: -2.9029979285382743, max values: 3.9905524164385566, median values: -0.2986294365915771, and quantile values: 0.25 -1.010839\n0.50 -0.298629\n0.75 0.369145\nName: 14322, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06690044919961723, std values: 1.0963179402219736, min values: -2.9666813816765707, max values: 4.0, median values: 0.1120012944505072, and quantile values: 0.25 -0.450239\n0.50 0.112001\n0.75 0.772245\nName: 14323, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06733631605747388, std values: 1.1132802476249415, min values: -2.1029383687967336, max values: 6.0, median values: -0.1936762924976026, and quantile values: 0.25 -0.911378\n0.50 -0.193676\n0.75 0.583745\nName: 14324, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19551667675590734, std values: 1.0113508347597555, min values: -2.620939317041317, max values: 4.0, median values: -0.2559073065219967, and quantile values: 0.25 -1.022214\n0.50 -0.255907\n0.75 0.529621\nName: 14325, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08063142056840154, std values: 0.9723549892437451, min values: -2.622709665346679, max values: 3.0, median values: 0.2319804391223189, and quantile values: 0.25 -0.467435\n0.50 0.231980\n0.75 0.776268\nName: 14326, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5170063838002501, std values: 1.0060188423324568, min values: -2.643887016977268, max values: 6.0, median values: 0.6235945823224441, and quantile values: 0.25 -0.079010\n0.50 0.623595\n0.75 1.250677\nName: 14327, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2539970547250812, std values: 0.8331496021436803, min values: -2.209283142861864, max values: 6.0, median values: -0.3063638619406021, and quantile values: 0.25 -0.843978\n0.50 -0.306364\n0.75 0.260680\nName: 14328, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3656434677800392, std values: 1.1083433905246625, min values: -2.9472833478224456, max values: 6.0, median values: -0.3429429260437943, and quantile values: 0.25 -1.086948\n0.50 -0.342943\n0.75 0.367341\nName: 14329, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24181810026221398, std values: 0.9185345896470026, min values: -2.5820330744015787, max values: 4.0, median values: 0.3235105439451075, and quantile values: 0.25 -0.368378\n0.50 0.323511\n0.75 0.939324\nName: 14330, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.048116161202049666, std values: 0.9493194235351277, min values: -2.745904427753044, max values: 5.0, median values: 0.0789545473658362, and quantile values: 0.25 -0.630903\n0.50 0.078955\n0.75 0.570011\nName: 14331, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.040680405215417825, std values: 0.8658755460668849, min values: -2.6072570508709387, max values: 4.0, median values: -0.117377944222584, and quantile values: 0.25 -0.635143\n0.50 -0.117378\n0.75 0.518590\nName: 14332, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4509617406216871, std values: 0.8868732781790362, min values: -2.556631690482005, max values: 3.215720519334646, median values: -0.5585104369436777, and quantile values: 0.25 -1.158419\n0.50 -0.558510\n0.75 0.136578\nName: 14333, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17903973317322192, std values: 1.025826776432493, min values: -2.688157591415518, max values: 4.0, median values: -0.1828279952901465, and quantile values: 0.25 -0.941752\n0.50 -0.182828\n0.75 0.559004\nName: 14334, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5530648898611134, std values: 1.2350633708425032, min values: -2.6668673616981367, max values: 4.0, median values: 0.8594141544790613, and quantile values: 0.25 -0.089180\n0.50 0.859414\n0.75 1.437323\nName: 14335, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.091631278649734, std values: 1.2661877909232282, min values: -2.727901130262228, max values: 4.0, median values: -1.6970522895331734, and quantile values: 0.25 -2.140874\n0.50 -1.697052\n0.75 0.012916\nName: 14336, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17810733532894044, std values: 0.9622561932645501, min values: -2.0366697630595785, max values: 2.9666813816765742, median values: -0.2903856206190603, and quantile values: 0.25 -0.958010\n0.50 -0.290386\n0.75 0.504126\nName: 14337, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11669978177975876, std values: 0.8124146047255979, min values: -2.6117120822772133, max values: 5.0, median values: -0.189831881911517, and quantile values: 0.25 -0.669617\n0.50 -0.189832\n0.75 0.354426\nName: 14338, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18989404837040866, std values: 0.8085242712124894, min values: -2.414039489297912, max values: 6.0, median values: 0.1901687916634502, and quantile values: 0.25 -0.310686\n0.50 0.190169\n0.75 0.702332\nName: 14339, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5216307284277037, std values: 0.9253725210936858, min values: -2.5682675825126706, max values: 5.0, median values: 0.5328912193326444, and quantile values: 0.25 -0.045417\n0.50 0.532891\n0.75 1.138554\nName: 14340, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4629422700583836, std values: 0.8370703394991821, min values: -2.1124050188802093, max values: 3.867701659180865, median values: -0.5861280068488274, and quantile values: 0.25 -1.041820\n0.50 -0.586128\n0.75 -0.036139\nName: 14341, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1790486346741962, std values: 0.7521474428197563, min values: -1.993071935034894, max values: 3.721862465295849, median values: 0.1167005666245817, and quantile values: 0.25 -0.258505\n0.50 0.116701\n0.75 0.641592\nName: 14342, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18034858700319983, std values: 1.0335014760950172, min values: -2.608390851963037, max values: 5.0, median values: 0.2827224770674771, and quantile values: 0.25 -0.529051\n0.50 0.282722\n0.75 0.964570\nName: 14343, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3548802439398227, std values: 0.7905697973922258, min values: -2.58513369695146, max values: 4.026668017837955, median values: 0.3523337198394194, and quantile values: 0.25 -0.106032\n0.50 0.352334\n0.75 0.841229\nName: 14344, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19205420582191107, std values: 1.533126616913515, min values: -2.9265160609644223, max values: 6.0, median values: -0.0085794303704, and quantile values: 0.25 -1.703674\n0.50 -0.008579\n0.75 0.957444\nName: 14345, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20207685690760221, std values: 0.8018709966816693, min values: -2.212004168819108, max values: 4.243835016543704, median values: 0.1489305460884289, and quantile values: 0.25 -0.333139\n0.50 0.148931\n0.75 0.735436\nName: 14346, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05219809129128325, std values: 0.8144325527448618, min values: -2.0407136277056424, max values: 5.0, median values: 0.102238527002525, and quantile values: 0.25 -0.534145\n0.50 0.102239\n0.75 0.636728\nName: 14347, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49781809104942987, std values: 0.88612064705622, min values: -2.6668673616981367, max values: 4.0, median values: -0.5657779826908651, and quantile values: 0.25 -1.074013\n0.50 -0.565778\n0.75 0.064349\nName: 14348, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3366000001052606, std values: 1.014220608399812, min values: -2.162123508609361, max values: 2.9015285354187115, median values: -0.384869937833704, and quantile values: 0.25 -1.186121\n0.50 -0.384870\n0.75 0.380471\nName: 14349, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16220745874094553, std values: 0.7776165415959609, min values: -2.3184884946917497, max values: 6.0, median values: 0.193367634085999, and quantile values: 0.25 -0.372951\n0.50 0.193368\n0.75 0.688105\nName: 14350, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6350418379285375, std values: 0.8124194892650349, min values: -2.8998169811239416, max values: 3.760287110694155, median values: 0.632658083467486, and quantile values: 0.25 0.131073\n0.50 0.632658\n0.75 1.156052\nName: 14351, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39578840955240124, std values: 0.9807616207096315, min values: -2.497627580948261, max values: 3.0, median values: 0.5465866955730783, and quantile values: 0.25 -0.133791\n0.50 0.546587\n0.75 1.093122\nName: 14352, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06771740321218275, std values: 0.8424019779139992, min values: -2.2065783767301927, max values: 6.0, median values: 0.0793689334245924, and quantile values: 0.25 -0.518217\n0.50 0.079369\n0.75 0.632745\nName: 14353, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16707460186989026, std values: 0.9172590093982155, min values: -3.424801219647557, max values: 3.176672644814091, median values: -0.2283401063024272, and quantile values: 0.25 -0.771231\n0.50 -0.228340\n0.75 0.401493\nName: 14354, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12018733663638383, std values: 0.7895047627177578, min values: -2.6685266729136536, max values: 5.0, median values: -0.1920221822687329, and quantile values: 0.25 -0.671105\n0.50 -0.192022\n0.75 0.386121\nName: 14355, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09141053396679064, std values: 1.0276639192532258, min values: -2.732564679617164, max values: 3.3337116327022187, median values: -0.0816897492664557, and quantile values: 0.25 -0.654258\n0.50 -0.081690\n0.75 0.710755\nName: 14356, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08945647491564356, std values: 0.8958028822118208, min values: -2.6685266729136536, max values: 6.0, median values: 0.0085648310742974, and quantile values: 0.25 -0.498318\n0.50 0.008565\n0.75 0.622298\nName: 14357, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1708769733168017, std values: 0.9233063432563559, min values: -2.688157591415518, max values: 3.055874031381882, median values: -0.3035013035639512, and quantile values: 0.25 -0.847685\n0.50 -0.303501\n0.75 0.452496\nName: 14358, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.041176674023889186, std values: 1.132984369314798, min values: -3.2266531185902174, max values: 2.9640616449178703, median values: 0.2016517705459875, and quantile values: 0.25 -0.886477\n0.50 0.201652\n0.75 0.799738\nName: 14359, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4523772890325856, std values: 0.8450965572963084, min values: -2.3922473154067863, max values: 5.0, median values: -0.5469456468598495, and quantile values: 0.25 -1.119047\n0.50 -0.546946\n0.75 0.108691\nName: 14360, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21313905944081263, std values: 0.9185740567443258, min values: -2.416496642276948, max values: 5.0, median values: -0.2559397995826583, and quantile values: 0.25 -0.967925\n0.50 -0.255940\n0.75 0.426729\nName: 14361, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38729184916724063, std values: 1.0444771720997696, min values: -2.5774281843044924, max values: 6.0, median values: 0.4518246673785691, and quantile values: 0.25 -0.379988\n0.50 0.451825\n0.75 1.213168\nName: 14362, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04850588696124482, std values: 0.8454884275687389, min values: -2.8164291268114208, max values: 2.8499459910874414, median values: 0.1212768389338491, and quantile values: 0.25 -0.372226\n0.50 0.121277\n0.75 0.566424\nName: 14363, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5693642343414658, std values: 0.8325914169821964, min values: -2.085975048264995, max values: 6.0, median values: -0.7352190343002185, and quantile values: 0.25 -1.186232\n0.50 -0.735219\n0.75 -0.085642\nName: 14364, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01443285535478596, std values: 0.7623334326976854, min values: -2.2915911556076085, max values: 3.670892362631932, median values: -0.0522382861462302, and quantile values: 0.25 -0.466206\n0.50 -0.052238\n0.75 0.454623\nName: 14365, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12066428382533181, std values: 0.8024402796548415, min values: -2.09925610156575, max values: 3.434669824302974, median values: -0.2168804733908998, and quantile values: 0.25 -0.648297\n0.50 -0.216880\n0.75 0.341395\nName: 14366, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5992204581771864, std values: 1.0337193726678735, min values: -2.981718296512785, max values: 5.0, median values: -0.6280454523105858, and quantile values: 0.25 -1.378066\n0.50 -0.628045\n0.75 0.131132\nName: 14367, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15504786954241773, std values: 1.3065489028755615, min values: -2.842989614395848, max values: 5.0, median values: 0.0999035452019573, and quantile values: 0.25 -1.122147\n0.50 0.099904\n0.75 0.818427\nName: 14368, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05406653060627954, std values: 1.1701369468842497, min values: -2.949186837165601, max values: 4.0, median values: 0.2067695364604735, and quantile values: 0.25 -0.781742\n0.50 0.206770\n0.75 0.809941\nName: 14369, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16716148582328055, std values: 0.8120994115399911, min values: -2.406113529328762, max values: 3.528773265847577, median values: 0.1992915130257518, and quantile values: 0.25 -0.363108\n0.50 0.199292\n0.75 0.672728\nName: 14370, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3135804490964748, std values: 1.2556652980614285, min values: -2.9622221028070275, max values: 6.0, median values: 0.0175985294040938, and quantile values: 0.25 -1.087725\n0.50 0.017599\n0.75 0.564598\nName: 14371, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3330601920587266, std values: 0.8438037093607856, min values: -2.6652153608723106, max values: 5.0, median values: -0.3847569587373539, and quantile values: 0.25 -0.863685\n0.50 -0.384757\n0.75 0.162466\nName: 14372, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.00039560488913583004, std values: 0.8564278922205792, min values: -2.2161166709808824, max values: 6.0, median values: -0.0656328402273977, and quantile values: 0.25 -0.596516\n0.50 -0.065633\n0.75 0.504501\nName: 14373, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2435294502410984, std values: 0.9736069909320842, min values: -2.0806681251243795, max values: 6.0, median values: -0.3366409173864839, and quantile values: 0.25 -1.015688\n0.50 -0.336641\n0.75 0.403184\nName: 14374, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5012384428152932, std values: 0.771880113343508, min values: -2.0148114180740584, max values: 5.0, median values: 0.4867832195096193, and quantile values: 0.25 0.010328\n0.50 0.486783\n0.75 1.017599\nName: 14375, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3441563705207705, std values: 1.0007114721288515, min values: -2.2837882496430213, max values: 4.0, median values: 0.4161780521887853, and quantile values: 0.25 -0.406886\n0.50 0.416178\n0.75 1.074013\nName: 14376, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34547514860237677, std values: 0.9858359737300416, min values: -2.8451834694312192, max values: 3.0, median values: -0.3268744496093256, and quantile values: 0.25 -1.025684\n0.50 -0.326874\n0.75 0.255427\nName: 14377, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11713699806334534, std values: 0.8771293499185784, min values: -2.572123985342288, max values: 5.0, median values: 0.0608727875896773, and quantile values: 0.25 -0.421891\n0.50 0.060873\n0.75 0.683228\nName: 14378, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.016963331832145982, std values: 0.9026708919295352, min values: -1.9733922499246843, max values: 6.0, median values: -0.0951778472770359, and quantile values: 0.25 -0.635924\n0.50 -0.095178\n0.75 0.585801\nName: 14379, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49607774529088466, std values: 1.0790258878945913, min values: -3.0687217584296813, max values: 3.405671179043623, median values: 0.6633641799389649, and quantile values: 0.25 -0.172485\n0.50 0.663364\n0.75 1.285851\nName: 14380, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.53177378685135, std values: 0.9518677368575497, min values: -2.62876542141649, max values: 3.3760121766849016, median values: -0.6155145870252469, and quantile values: 0.25 -1.331879\n0.50 -0.615515\n0.75 0.118448\nName: 14381, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30245639781663813, std values: 0.8093735929337177, min values: -2.6800544037614658, max values: 4.0, median values: -0.382770826014325, and quantile values: 0.25 -0.860411\n0.50 -0.382771\n0.75 0.161808\nName: 14382, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32686877743081166, std values: 0.9497707743619199, min values: -2.928515832252388, max values: 5.0, median values: -0.4026420076744446, and quantile values: 0.25 -0.937232\n0.50 -0.402642\n0.75 0.301745\nName: 14383, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35567441295190017, std values: 0.9909155581894643, min values: -2.783691185534105, max values: 3.455472209455805, median values: -0.481734016006562, and quantile values: 0.25 -1.129283\n0.50 -0.481734\n0.75 0.261145\nName: 14384, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23186019017187254, std values: 1.1995450166628447, min values: -2.9090251609554527, max values: 6.0, median values: 0.4379129390766719, and quantile values: 0.25 -0.432783\n0.50 0.437913\n0.75 1.086999\nName: 14385, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19087702805720197, std values: 0.9541240886077492, min values: -2.7428415536925543, max values: 4.278004674434932, median values: 0.0787132023327537, and quantile values: 0.25 -0.548428\n0.50 0.078713\n0.75 0.802214\nName: 14386, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3917343738951257, std values: 0.9852834580459165, min values: -2.641174291463747, max values: 6.0, median values: 0.5588143236030629, and quantile values: 0.25 -0.192431\n0.50 0.558814\n0.75 1.076271\nName: 14387, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.012198048196741692, std values: 0.8611687996482279, min values: -2.928515832252388, max values: 3.5427287984042666, median values: 0.0049020173568278, and quantile values: 0.25 -0.502408\n0.50 0.004902\n0.75 0.494393\nName: 14388, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35075117596318145, std values: 0.8695987013850351, min values: -2.799990485600992, max values: 5.0, median values: -0.3668763244699504, and quantile values: 0.25 -0.967849\n0.50 -0.366876\n0.75 0.177678\nName: 14389, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4897515543209369, std values: 0.836465315411066, min values: -2.349293916724472, max values: 3.528773265847577, median values: 0.5679273593145194, and quantile values: 0.25 -0.088489\n0.50 0.567927\n0.75 1.110108\nName: 14390, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1916057281428218, std values: 0.969811548284383, min values: -2.605844844843939, max values: 4.0, median values: 0.3106118451449512, and quantile values: 0.25 -0.424963\n0.50 0.310612\n0.75 0.901314\nName: 14391, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36816525332775824, std values: 1.0381346148958188, min values: -2.64479559868397, max values: 6.0, median values: 0.4326383973917321, and quantile values: 0.25 -0.409251\n0.50 0.432638\n0.75 1.195161\nName: 14392, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25961835240611847, std values: 0.8491400294636181, min values: -2.5825978442440407, max values: 6.0, median values: -0.3271547177832846, and quantile values: 0.25 -0.852502\n0.50 -0.327155\n0.75 0.272362\nName: 14393, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13738232983798115, std values: 0.8455819167871139, min values: -2.5953860446419177, max values: 5.0, median values: -0.1040935065035914, and quantile values: 0.25 -0.677120\n0.50 -0.104094\n0.75 0.403928\nName: 14394, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45975929830390816, std values: 0.8019093240075956, min values: -2.3922473154067863, max values: 5.0, median values: -0.5644856798621418, and quantile values: 0.25 -1.058925\n0.50 -0.564486\n0.75 0.035726\nName: 14395, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35010418865782345, std values: 0.9723883833081842, min values: -2.6320986139293034, max values: 3.784832159836258, median values: -0.3661989097335826, and quantile values: 0.25 -1.096141\n0.50 -0.366199\n0.75 0.328146\nName: 14396, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23280426429983414, std values: 0.8099706191094779, min values: -2.693453432157769, max values: 3.0046625681201315, median values: -0.3392651153607534, and quantile values: 0.25 -0.763553\n0.50 -0.339265\n0.75 0.248374\nName: 14397, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3831881183622771, std values: 0.9987316997395496, min values: -2.933035609461076, max values: 5.0, median values: -0.2665532935288838, and quantile values: 0.25 -1.049655\n0.50 -0.266553\n0.75 0.258700\nName: 14398, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33054286635781976, std values: 1.0583419252424242, min values: -2.2065783767301927, max values: 6.0, median values: 0.1727279102327326, and quantile values: 0.25 -0.412097\n0.50 0.172728\n0.75 1.075044\nName: 14399, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18330837848323756, std values: 1.0176136819971036, min values: -2.103369962038045, max values: 3.9905524164385566, median values: 0.0666750364819339, and quantile values: 0.25 -0.542505\n0.50 0.066675\n0.75 0.798893\nName: 14400, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.029531657562792402, std values: 0.7929990657185645, min values: -2.156806272086999, max values: 3.0, median values: -0.0645196638485083, and quantile values: 0.25 -0.569563\n0.50 -0.064520\n0.75 0.444739\nName: 14401, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.025798611641116492, std values: 1.2781404593189643, min values: -2.6652153608723106, max values: 5.0, median values: -0.0564304483222211, and quantile values: 0.25 -0.863465\n0.50 -0.056430\n0.75 0.947000\nName: 14402, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07438607655449833, std values: 0.8301762865204504, min values: -2.300042081328127, max values: 4.0, median values: -0.0215563374073947, and quantile values: 0.25 -0.516779\n0.50 -0.021556\n0.75 0.577116\nName: 14403, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05622509194161141, std values: 0.8440188965529352, min values: -2.605098146828148, max values: 6.0, median values: 0.0814161863314028, and quantile values: 0.25 -0.541683\n0.50 0.081416\n0.75 0.622625\nName: 14404, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46047222553610295, std values: 0.9646009961760402, min values: -2.933035609461076, max values: 5.0, median values: -0.5344990810920565, and quantile values: 0.25 -1.134929\n0.50 -0.534499\n0.75 0.195514\nName: 14405, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4220492096837663, std values: 0.9395963820063992, min values: -2.928515832252388, max values: 3.0418703198091483, median values: -0.5054406780678301, and quantile values: 0.25 -1.109599\n0.50 -0.505441\n0.75 0.224194\nName: 14406, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03683971565615661, std values: 0.7944465415402653, min values: -2.1775880058603043, max values: 3.216771431244405, median values: -0.112405618175465, and quantile values: 0.25 -0.584690\n0.50 -0.112406\n0.75 0.470693\nName: 14407, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0748880583833212, std values: 0.9235509660364724, min values: -2.0397470924909658, max values: 3.1175233493066874, median values: 0.0988584788368556, and quantile values: 0.25 -0.589612\n0.50 0.098858\n0.75 0.696356\nName: 14408, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30319372246345144, std values: 0.8044770870938124, min values: -2.6404955031131814, max values: 6.0, median values: -0.3451927595553914, and quantile values: 0.25 -0.868795\n0.50 -0.345193\n0.75 0.166395\nName: 14409, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08723322146370747, std values: 0.9955842295629782, min values: -2.486556664247513, max values: 3.0, median values: 0.0218404114572816, and quantile values: 0.25 -0.848159\n0.50 0.021840\n0.75 0.665217\nName: 14410, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03338255214057972, std values: 0.9799296758687881, min values: -2.532780026986995, max values: 3.1166497049712243, median values: -0.1323260119134594, and quantile values: 0.25 -0.678852\n0.50 -0.132326\n0.75 0.593582\nName: 14411, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5019935752097222, std values: 0.9178843929295732, min values: -2.783691185534105, max values: 3.9905524164385566, median values: 0.5313966760598352, and quantile values: 0.25 -0.088655\n0.50 0.531397\n0.75 1.088537\nName: 14412, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.005540195594827564, std values: 0.8971783570633249, min values: -2.572123985342288, max values: 4.0, median values: 0.0498421643871211, and quantile values: 0.25 -0.643420\n0.50 0.049842\n0.75 0.596526\nName: 14413, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2581855345629529, std values: 0.854480629367099, min values: -2.131236602105937, max values: 3.528773265847577, median values: -0.3621882798487965, and quantile values: 0.25 -0.932694\n0.50 -0.362188\n0.75 0.340928\nName: 14414, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20676541145096342, std values: 0.7686802022211842, min values: -2.688157591415518, max values: 5.0, median values: -0.2088519283646464, and quantile values: 0.25 -0.747705\n0.50 -0.208852\n0.75 0.289646\nName: 14415, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08602979996695535, std values: 0.8476931896308294, min values: -2.287653849206291, max values: 3.1166497049712243, median values: 0.1231390104048984, and quantile values: 0.25 -0.543009\n0.50 0.123139\n0.75 0.731240\nName: 14416, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02393573537453501, std values: 0.777938210023113, min values: -2.074944808708433, max values: 5.0, median values: 0.0530656115342753, and quantile values: 0.25 -0.503374\n0.50 0.053066\n0.75 0.536272\nName: 14417, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08728225946784836, std values: 0.94858029458774, min values: -2.608390851963037, max values: 5.0, median values: 0.1864639626705615, and quantile values: 0.25 -0.502251\n0.50 0.186464\n0.75 0.773205\nName: 14418, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31294434521456505, std values: 0.8182469883359695, min values: -2.1173924400406823, max values: 3.0, median values: 0.3326507439348814, and quantile values: 0.25 -0.196287\n0.50 0.332651\n0.75 0.815886\nName: 14419, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30375056009785917, std values: 0.8593553049910736, min values: -1.9906287733065848, max values: 5.0, median values: 0.2817925971021401, and quantile values: 0.25 -0.291619\n0.50 0.281793\n0.75 0.890686\nName: 14420, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4270791847611347, std values: 1.0590635686916954, min values: -2.919359491767569, max values: 5.0, median values: -0.4669124552402445, and quantile values: 0.25 -1.212182\n0.50 -0.466912\n0.75 0.334194\nName: 14421, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.006683808489542927, std values: 1.037538506159298, min values: -2.64479559868397, max values: 6.0, median values: -0.0653959874247191, and quantile values: 0.25 -0.806353\n0.50 -0.065396\n0.75 0.712105\nName: 14422, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1029444848325241, std values: 0.9144477373009664, min values: -2.071637340395318, max values: 3.721862465295849, median values: 0.0243196104975167, and quantile values: 0.25 -0.573617\n0.50 0.024320\n0.75 0.782228\nName: 14423, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09721136456750909, std values: 0.8484965506047977, min values: -2.0792309011718992, max values: 3.0, median values: 0.1323537934452136, and quantile values: 0.25 -0.512408\n0.50 0.132354\n0.75 0.738392\nName: 14424, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04112242701965663, std values: 0.8771345008430884, min values: -2.4902145713898545, max values: 3.319774799707247, median values: 0.0209314062488338, and quantile values: 0.25 -0.648407\n0.50 0.020931\n0.75 0.571987\nName: 14425, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17305665777743623, std values: 1.0244977947884202, min values: -3.05087304133376, max values: 5.0, median values: -0.0063340895512467, and quantile values: 0.25 -0.662359\n0.50 -0.006334\n0.75 0.501938\nName: 14426, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37235305757057996, std values: 0.7721745581672683, min values: -2.2161166709808824, max values: 6.0, median values: -0.4381724732568524, and quantile values: 0.25 -0.908039\n0.50 -0.438172\n0.75 0.030659\nName: 14427, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40188063933025475, std values: 0.7951737179197649, min values: -2.605098146828148, max values: 6.0, median values: 0.4121728796170812, and quantile values: 0.25 -0.074452\n0.50 0.412173\n0.75 0.884344\nName: 14428, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2711830502689512, std values: 0.8757864209911813, min values: -2.068409635448683, max values: 3.250922035035844, median values: 0.3464846961770724, and quantile values: 0.25 -0.370118\n0.50 0.346485\n0.75 0.888423\nName: 14429, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3850174761897223, std values: 0.9190098682671431, min values: -2.801183634509044, max values: 5.0, median values: -0.4327829107621588, and quantile values: 0.25 -1.127173\n0.50 -0.432783\n0.75 0.241484\nName: 14430, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0849583639937219, std values: 0.7734624035712275, min values: -2.2012167772695554, max values: 3.124705982383484, median values: 0.0252443317821639, and quantile values: 0.25 -0.450669\n0.50 0.025244\n0.75 0.589162\nName: 14431, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24785800871428582, std values: 1.0471307671935002, min values: -2.740813841730953, max values: 3.5021977227593246, median values: 0.4262626634325707, and quantile values: 0.25 -0.372960\n0.50 0.426263\n0.75 1.005379\nName: 14432, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38575099033315025, std values: 1.0351150698289728, min values: -2.693453432157769, max values: 3.0, median values: -0.4239987997277037, and quantile values: 0.25 -1.060168\n0.50 -0.423999\n0.75 0.370782\nName: 14433, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04906054263340403, std values: 0.8143280758469729, min values: -2.0393062902829144, max values: 6.0, median values: -0.1274102691692492, and quantile values: 0.25 -0.610381\n0.50 -0.127410\n0.75 0.460055\nName: 14434, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16716371955747736, std values: 0.8736918287188741, min values: -2.8843374390620142, max values: 6.0, median values: 0.2419598806134147, and quantile values: 0.25 -0.447011\n0.50 0.241960\n0.75 0.810523\nName: 14435, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30605706088437223, std values: 1.0109996490608562, min values: -2.196708653609315, max values: 6.0, median values: -0.3488949810260733, and quantile values: 0.25 -1.159605\n0.50 -0.348895\n0.75 0.437930\nName: 14436, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34408436681131077, std values: 0.9490306513894865, min values: -3.045947208515832, max values: 6.0, median values: 0.4804603737209098, and quantile values: 0.25 -0.186274\n0.50 0.480460\n0.75 0.980253\nName: 14437, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5258995802712029, std values: 0.8038961316133152, min values: -2.579723791499676, max values: 4.0, median values: 0.5520030338552248, and quantile values: 0.25 0.050556\n0.50 0.552003\n0.75 1.067535\nName: 14438, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43958078947969526, std values: 0.8768724909760354, min values: -2.3343363899181395, max values: 4.0, median values: -0.5608400024170123, and quantile values: 0.25 -1.161657\n0.50 -0.560840\n0.75 0.165800\nName: 14439, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3089986730141583, std values: 0.9571408203721516, min values: -2.608390851963037, max values: 5.0, median values: -0.2280004969901562, and quantile values: 0.25 -0.921615\n0.50 -0.228000\n0.75 0.399508\nName: 14440, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6311412327729707, std values: 1.0553113201680504, min values: -2.538263448402477, max values: 4.0, median values: 0.6666033134650068, and quantile values: 0.25 -0.160553\n0.50 0.666603\n0.75 1.461962\nName: 14441, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14912763266221502, std values: 0.8196287240488404, min values: -2.169311742921253, max values: 6.0, median values: -0.3029310207939785, and quantile values: 0.25 -0.738112\n0.50 -0.302931\n0.75 0.361885\nName: 14442, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44565122504872784, std values: 0.895828970775944, min values: -1.9639237811907448, max values: 2.8021829819288926, median values: 0.4979129849680619, and quantile values: 0.25 -0.195641\n0.50 0.497913\n0.75 1.168879\nName: 14443, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16161849774704648, std values: 0.8091631269308147, min values: -2.132840460960708, max values: 3.455472209455805, median values: 0.2084192108480385, and quantile values: 0.25 -0.395888\n0.50 0.208419\n0.75 0.711146\nName: 14444, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4000877861082234, std values: 0.9409935784499043, min values: -2.87684958111886, max values: 3.2266531185902125, median values: -0.3312830747635566, and quantile values: 0.25 -0.882716\n0.50 -0.331283\n0.75 0.180311\nName: 14445, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.007858215552120042, std values: 1.0338315438075254, min values: -2.6635706018350787, max values: 3.5581019918925243, median values: -0.0212017388108135, and quantile values: 0.25 -0.774994\n0.50 -0.021202\n0.75 0.754262\nName: 14446, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20768160137342156, std values: 0.8936443881947943, min values: -2.7625599258360296, max values: 4.0, median values: 0.2703755676543458, and quantile values: 0.25 -0.404136\n0.50 0.270376\n0.75 0.839085\nName: 14447, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5114788073236216, std values: 1.0215373987635303, min values: -2.5689076212724418, max values: 5.0, median values: 0.3969878549089325, and quantile values: 0.25 -0.141611\n0.50 0.396988\n0.75 1.014627\nName: 14448, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06111556613386836, std values: 0.9471444208825301, min values: -2.710223074556336, max values: 4.0, median values: -0.1528226209108388, and quantile values: 0.25 -0.795061\n0.50 -0.152823\n0.75 0.609010\nName: 14449, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7801477420274986, std values: 1.110533170196264, min values: -2.697026421440041, max values: 4.0, median values: -0.7145185109766456, and quantile values: 0.25 -1.816448\n0.50 -0.714519\n0.75 -0.031455\nName: 14450, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46508154055025897, std values: 0.8316940843966819, min values: -2.538263448402477, max values: 4.0, median values: -0.5808713232965627, and quantile values: 0.25 -1.039454\n0.50 -0.580871\n0.75 -0.014101\nName: 14451, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5180654222303139, std values: 0.9540224923737608, min values: -2.1139459297101, max values: 3.518664430018096, median values: 0.5639329143769396, and quantile values: 0.25 -0.157822\n0.50 0.563933\n0.75 1.227701\nName: 14452, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08693883802373285, std values: 0.8948925688567667, min values: -3.1386665508340674, max values: 2.507723364852832, median values: -0.0925539046076361, and quantile values: 0.25 -0.672874\n0.50 -0.092554\n0.75 0.536436\nName: 14453, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5816712053595389, std values: 1.2659095526267756, min values: -2.634919142586459, max values: 6.0, median values: 0.7420906781442764, and quantile values: 0.25 -0.240000\n0.50 0.742091\n0.75 1.597512\nName: 14454, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22673994312435644, std values: 1.0301351726788643, min values: -2.196181211030292, max values: 3.1485882570365185, median values: -0.3335531641122239, and quantile values: 0.25 -1.092306\n0.50 -0.333553\n0.75 0.498131\nName: 14455, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5214501094203644, std values: 0.910300639834466, min values: -2.9278427058120164, max values: 6.0, median values: 0.5711238851772105, and quantile values: 0.25 -0.123108\n0.50 0.571124\n0.75 1.215455\nName: 14456, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15161371153009484, std values: 0.8161057456873615, min values: -2.4657737907743, max values: 3.3337116327022187, median values: -0.1788249569654501, and quantile values: 0.25 -0.708425\n0.50 -0.178825\n0.75 0.332165\nName: 14457, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4278119492859916, std values: 0.813067257860819, min values: -2.783691185534105, max values: 3.3014869995452325, median values: -0.4983806441944713, and quantile values: 0.25 -1.088964\n0.50 -0.498381\n0.75 0.115370\nName: 14458, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3151170870242059, std values: 0.8392738877981083, min values: -2.6023368942328267, max values: 3.0, median values: -0.3669941529073215, and quantile values: 0.25 -0.966717\n0.50 -0.366994\n0.75 0.251839\nName: 14459, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21721039055342806, std values: 0.9105118857354632, min values: -2.2837882496430213, max values: 4.0, median values: 0.2276354145936913, and quantile values: 0.25 -0.413460\n0.50 0.227635\n0.75 0.802051\nName: 14460, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0380120717891868, std values: 0.7578266125778739, min values: -2.113431735038636, max values: 2.612546909372573, median values: -0.0805845447577439, and quantile values: 0.25 -0.531460\n0.50 -0.080585\n0.75 0.406160\nName: 14461, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5617686963147843, std values: 1.0253416871467969, min values: -3.1386665508340674, max values: 3.477886732511886, median values: -0.6481223120549062, and quantile values: 0.25 -1.483351\n0.50 -0.648122\n0.75 0.192576\nName: 14462, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1362460595858849, std values: 0.9190274939521137, min values: -2.0994996460183817, max values: 6.0, median values: -0.1357717077565214, and quantile values: 0.25 -0.860052\n0.50 -0.135772\n0.75 0.564357\nName: 14463, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5025575296639682, std values: 1.0826593556967627, min values: -2.087432639025188, max values: 4.0, median values: 0.4605034286988972, and quantile values: 0.25 -0.365316\n0.50 0.460503\n0.75 1.402092\nName: 14464, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49093718700282407, std values: 1.1224213680671584, min values: -2.955641696055872, max values: 3.3483277116524426, median values: 0.5916961814404784, and quantile values: 0.25 -0.249156\n0.50 0.591696\n0.75 1.372927\nName: 14465, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.099648580810112, std values: 0.9418654922066205, min values: -2.5820330744015787, max values: 4.0, median values: 0.2073082808139792, and quantile values: 0.25 -0.541127\n0.50 0.207308\n0.75 0.792535\nName: 14466, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6983350849839698, std values: 0.9002407692498634, min values: -2.0595468593293136, max values: 3.477886732511886, median values: 0.6866752301868735, and quantile values: 0.25 0.155286\n0.50 0.686675\n0.75 1.283423\nName: 14467, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.364641960639736, std values: 1.1322595496545422, min values: -2.9622221028070275, max values: 6.0, median values: -1.7316027293797205, and quantile values: 0.25 -2.215913\n0.50 -1.731603\n0.75 -0.591525\nName: 14468, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5692459270154141, std values: 0.7878444405725156, min values: -1.9242060307523308, max values: 3.784832159836258, median values: 0.635142939686588, and quantile values: 0.25 0.091451\n0.50 0.635143\n0.75 1.084656\nName: 14469, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10363401606213749, std values: 1.105643186799164, min values: -2.842043939794492, max values: 3.784832159836258, median values: 0.22198658770862, and quantile values: 0.25 -0.495556\n0.50 0.221987\n0.75 0.826681\nName: 14470, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14823096374595482, std values: 0.9040544314767865, min values: -2.580492024304656, max values: 4.0, median values: 0.1703746169648612, and quantile values: 0.25 -0.501577\n0.50 0.170375\n0.75 0.801217\nName: 14471, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35995285946484296, std values: 0.874385084840573, min values: -2.3893642989164, max values: 3.022367128892113, median values: 0.4195944777383752, and quantile values: 0.25 -0.284720\n0.50 0.419594\n0.75 1.078928\nName: 14472, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14399977196933714, std values: 1.0568488022439428, min values: -2.873069976951463, max values: 3.0651860794139534, median values: 0.0294528502562333, and quantile values: 0.25 -0.621990\n0.50 0.029453\n0.75 0.541902\nName: 14473, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2151514500984841, std values: 0.743520183349967, min values: -2.732564679617164, max values: 3.667275230673496, median values: 0.243747832604636, and quantile values: 0.25 -0.279457\n0.50 0.243748\n0.75 0.734920\nName: 14474, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33861577438201357, std values: 0.9808951053612871, min values: -3.074005993202373, max values: 3.1801075704642923, median values: -0.3738074559300504, and quantile values: 0.25 -0.959502\n0.50 -0.373807\n0.75 0.345581\nName: 14475, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4770226585502261, std values: 0.7646336392169211, min values: -2.58513369695146, max values: 3.528773265847577, median values: -0.5418284112300158, and quantile values: 0.25 -1.000218\n0.50 -0.541828\n0.75 -0.067670\nName: 14476, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.042974966571769996, std values: 0.8141591907503103, min values: -2.5832619696830608, max values: 6.0, median values: 0.0283692973403775, and quantile values: 0.25 -0.510641\n0.50 0.028369\n0.75 0.530319\nName: 14477, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6495034328291418, std values: 1.031468323704544, min values: -1.9733922499246843, max values: 3.096891534584617, median values: 0.7022371009443796, and quantile values: 0.25 -0.155741\n0.50 0.702237\n0.75 1.507794\nName: 14478, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09985925315387602, std values: 0.8404482843913507, min values: -2.7428415536925543, max values: 5.0, median values: 0.1284037173076159, and quantile values: 0.25 -0.353571\n0.50 0.128404\n0.75 0.625428\nName: 14479, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1337284164948057, std values: 0.8987031394349267, min values: -2.055430953058359, max values: 3.1106274661862763, median values: -0.2661650956992308, and quantile values: 0.25 -0.791160\n0.50 -0.266165\n0.75 0.443174\nName: 14480, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04790043204802161, std values: 0.8724331561968386, min values: -2.7939007019027, max values: 2.975781014280383, median values: -0.0445733637451559, and quantile values: 0.25 -0.600182\n0.50 -0.044573\n0.75 0.511426\nName: 14481, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.418740914415452, std values: 0.9099456618245785, min values: -1.9918692121535213, max values: 6.0, median values: 0.4373541398884221, and quantile values: 0.25 -0.223297\n0.50 0.437354\n0.75 1.099847\nName: 14482, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1673395287389229, std values: 0.885342785738082, min values: -2.605844844843939, max values: 4.0, median values: -0.1302149127117095, and quantile values: 0.25 -0.706634\n0.50 -0.130215\n0.75 0.417650\nName: 14483, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3378989985670853, std values: 1.2031834237714294, min values: -2.837386543755612, max values: 5.0, median values: 0.4669431663767025, and quantile values: 0.25 -0.479453\n0.50 0.466943\n0.75 1.283208\nName: 14484, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03969363988428748, std values: 1.13798343338166, min values: -2.788272971802125, max values: 6.0, median values: 0.0593269246544039, and quantile values: 0.25 -0.870969\n0.50 0.059327\n0.75 0.734209\nName: 14485, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0174008794810775, std values: 0.8550829430549574, min values: -2.6117120822772133, max values: 5.0, median values: 0.0058659073212678, and quantile values: 0.25 -0.638066\n0.50 0.005866\n0.75 0.570568\nName: 14486, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06652429285985946, std values: 0.8158704288814118, min values: -2.078961117712412, max values: 3.3337116327022187, median values: -0.0323612841335468, and quantile values: 0.25 -0.660153\n0.50 -0.032361\n0.75 0.504689\nName: 14487, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04505384992715474, std values: 0.8479805960482572, min values: -2.076845029664644, max values: 3.379902545505621, median values: -0.0054359627988465, and quantile values: 0.25 -0.678714\n0.50 -0.005436\n0.75 0.591920\nName: 14488, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20983455381766472, std values: 0.9196829599082683, min values: -2.5774281843044924, max values: 4.0, median values: 0.2578143245321671, and quantile values: 0.25 -0.460075\n0.50 0.257814\n0.75 0.937983\nName: 14489, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.216751442493702, std values: 0.8035435999185124, min values: -2.419133598913117, max values: 3.9048392686725855, median values: 0.3037735481339473, and quantile values: 0.25 -0.350518\n0.50 0.303774\n0.75 0.755763\nName: 14490, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.011255962125349574, std values: 0.8935717569280449, min values: -2.4502625580775623, max values: 5.0, median values: -0.0544808376163017, and quantile values: 0.25 -0.615486\n0.50 -0.054481\n0.75 0.605268\nName: 14491, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16886207131696507, std values: 0.9228014653661079, min values: -2.810662060852592, max values: 3.1395741599540568, median values: -0.1547808772773445, and quantile values: 0.25 -0.897614\n0.50 -0.154781\n0.75 0.483902\nName: 14492, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23577931174135594, std values: 1.0704738635354762, min values: -2.9622221028070275, max values: 4.0, median values: -0.2411659505265252, and quantile values: 0.25 -0.874289\n0.50 -0.241166\n0.75 0.444086\nName: 14493, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39820233360127716, std values: 1.1378066389638448, min values: -2.7510671817729784, max values: 6.0, median values: -0.3434687052863108, and quantile values: 0.25 -1.205771\n0.50 -0.343469\n0.75 0.371180\nName: 14494, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27191174209479757, std values: 1.1019559092461406, min values: -2.947062251106049, max values: 3.260388056018088, median values: -0.3162966819718736, and quantile values: 0.25 -1.194341\n0.50 -0.316297\n0.75 0.515726\nName: 14495, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3792009486561562, std values: 0.9737978668908589, min values: -2.8663054413554843, max values: 6.0, median values: 0.5070991434513193, and quantile values: 0.25 -0.117200\n0.50 0.507099\n0.75 1.004791\nName: 14496, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22592337718714856, std values: 0.8127318887726465, min values: -2.90140378513671, max values: 2.898237445269887, median values: -0.1912277916109967, and quantile values: 0.25 -0.837674\n0.50 -0.191228\n0.75 0.322278\nName: 14497, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06593298256281735, std values: 0.9977380298441679, min values: -2.5743883495350026, max values: 5.0, median values: 0.1867525580605372, and quantile values: 0.25 -0.613491\n0.50 0.186753\n0.75 0.800534\nName: 14498, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11470913998784711, std values: 0.931931074316561, min values: -2.558791007225312, max values: 3.216771431244405, median values: -0.0222891831466128, and quantile values: 0.25 -0.690975\n0.50 -0.022289\n0.75 0.512587\nName: 14499, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30425926627895744, std values: 0.7305896677196317, min values: -2.730840794324401, max values: 3.0533207538164056, median values: 0.3519235098630635, and quantile values: 0.25 -0.126760\n0.50 0.351924\n0.75 0.768402\nName: 14500, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.005938168606485093, std values: 0.784070738173885, min values: -3.066111439712689, max values: 4.243835016543704, median values: 0.0804187726038718, and quantile values: 0.25 -0.537623\n0.50 0.080419\n0.75 0.513595\nName: 14501, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2101021656123431, std values: 0.9046616098806588, min values: -2.6685266729136536, max values: 6.0, median values: 0.1143994925548773, and quantile values: 0.25 -0.427557\n0.50 0.114399\n0.75 0.806505\nName: 14502, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6272420429474772, std values: 0.8374885756276195, min values: -2.7510671817729784, max values: 6.0, median values: -0.6660089098753215, and quantile values: 0.25 -1.244444\n0.50 -0.666009\n0.75 -0.136383\nName: 14503, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31515809520125015, std values: 0.7762244796194412, min values: -1.8429137422025497, max values: 4.0, median values: 0.3823560041155208, and quantile values: 0.25 -0.198165\n0.50 0.382356\n0.75 0.827383\nName: 14504, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08670298820640512, std values: 0.8726547993963066, min values: -1.97877142617342, max values: 6.0, median values: 0.1012812995993332, and quantile values: 0.25 -0.509150\n0.50 0.101281\n0.75 0.640780\nName: 14505, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0835689473662205, std values: 0.8243588487441748, min values: -2.919359491767569, max values: 6.0, median values: 0.1406651520572281, and quantile values: 0.25 -0.486650\n0.50 0.140665\n0.75 0.687547\nName: 14506, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5023466664524475, std values: 0.9375237241666974, min values: -2.4125199145038643, max values: 4.0, median values: 0.5935254085163911, and quantile values: 0.25 -0.184973\n0.50 0.593525\n0.75 1.220900\nName: 14507, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7873581875675802, std values: 1.3367499775494434, min values: -2.9029979285382743, max values: 3.784832159836258, median values: -0.5732596404675027, and quantile values: 0.25 -2.109891\n0.50 -0.573260\n0.75 0.365901\nName: 14508, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1368421536831223, std values: 0.933880643999708, min values: -2.8467638118011016, max values: 5.0, median values: 0.2281158974553634, and quantile values: 0.25 -0.352715\n0.50 0.228116\n0.75 0.717223\nName: 14509, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0675316227989871, std values: 0.883332322648648, min values: -2.524695047194556, max values: 6.0, median values: -0.0758885071173839, and quantile values: 0.25 -0.666898\n0.50 -0.075889\n0.75 0.485108\nName: 14510, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08817318048215167, std values: 0.8562423809616999, min values: -2.105967784650795, max values: 4.0, median values: 0.0050397156234498, and quantile values: 0.25 -0.501738\n0.50 0.005040\n0.75 0.630030\nName: 14511, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18808915745719662, std values: 0.9224293238512855, min values: -2.4536054974529624, max values: 6.0, median values: -0.2542062630876831, and quantile values: 0.25 -0.916783\n0.50 -0.254206\n0.75 0.440229\nName: 14512, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07793265086257026, std values: 1.1977099810061647, min values: -2.087432639025188, max values: 4.0, median values: -0.0128061305916208, and quantile values: 0.25 -0.978385\n0.50 -0.012806\n0.75 0.990771\nName: 14513, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.296889517956937, std values: 0.920620287950576, min values: -2.2423374092797945, max values: 3.0, median values: 0.2829517824158267, and quantile values: 0.25 -0.318012\n0.50 0.282952\n0.75 0.870934\nName: 14514, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07074601884408913, std values: 0.9989610378089631, min values: -2.0730520506365586, max values: 3.9905524164385566, median values: 0.0195541583384063, and quantile values: 0.25 -0.729204\n0.50 0.019554\n0.75 0.777738\nName: 14515, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47647683784229067, std values: 0.9006823226158955, min values: -2.156806272086999, max values: 3.8226908388056136, median values: 0.5838849152091895, and quantile values: 0.25 -0.196960\n0.50 0.583885\n0.75 1.175315\nName: 14516, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2921700578543487, std values: 0.7429887449083405, min values: -1.9823496288954088, max values: 3.2936960268109283, median values: -0.4034186095431006, and quantile values: 0.25 -0.794327\n0.50 -0.403419\n0.75 0.131121\nName: 14517, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22000492711726766, std values: 0.9029215322280514, min values: -2.730840794324401, max values: 3.627976272701048, median values: 0.1786010959782803, and quantile values: 0.25 -0.411828\n0.50 0.178601\n0.75 0.819914\nName: 14518, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2583030958046994, std values: 0.8175113761050523, min values: -2.62876542141649, max values: 3.071353155688046, median values: -0.3966043005067468, and quantile values: 0.25 -0.886057\n0.50 -0.396604\n0.75 0.261574\nName: 14519, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.006208139430725738, std values: 0.90517617323273, min values: -2.801183634509044, max values: 5.0, median values: -0.0593100912488247, and quantile values: 0.25 -0.688245\n0.50 -0.059310\n0.75 0.607088\nName: 14520, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20593210168197493, std values: 0.8374545877286088, min values: -2.506827530467421, max values: 4.0, median values: -0.247152562747567, and quantile values: 0.25 -0.785486\n0.50 -0.247153\n0.75 0.269933\nName: 14521, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.023311630936464222, std values: 0.7754790897387934, min values: -2.7314147016889114, max values: 3.0, median values: 0.0510490588395084, and quantile values: 0.25 -0.459792\n0.50 0.051049\n0.75 0.504846\nName: 14522, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13660426413658103, std values: 0.8255072224478691, min values: -2.0744709221036657, max values: 6.0, median values: -0.2555943031188061, and quantile values: 0.25 -0.730572\n0.50 -0.255594\n0.75 0.389655\nName: 14523, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32890563684941204, std values: 0.9746221266785436, min values: -2.0683523803658423, max values: 6.0, median values: 0.2969988270603295, and quantile values: 0.25 -0.337224\n0.50 0.296999\n0.75 1.011821\nName: 14524, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24236056969813233, std values: 0.9515569235105679, min values: -2.72346435408924, max values: 4.0, median values: -0.1594975527861054, and quantile values: 0.25 -0.820114\n0.50 -0.159498\n0.75 0.340067\nName: 14525, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.52823412912728, std values: 0.9135877053774203, min values: -1.9701398710040925, max values: 2.853157294082051, median values: 0.5805809116701531, and quantile values: 0.25 -0.155255\n0.50 0.580581\n0.75 1.298322\nName: 14526, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12875842406932045, std values: 0.8287398862404101, min values: -2.060842074965388, max values: 2.938308831530802, median values: -0.1795805540313017, and quantile values: 0.25 -0.763932\n0.50 -0.179581\n0.75 0.444973\nName: 14527, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2813469531967309, std values: 1.0347253286070626, min values: -2.469941537133514, max values: 4.0, median values: -0.4431214729030192, and quantile values: 0.25 -1.123345\n0.50 -0.443121\n0.75 0.370413\nName: 14528, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.062475107295861976, std values: 0.8206706765685351, min values: -2.043287858674072, max values: 4.0, median values: -0.0406388963971478, and quantile values: 0.25 -0.488769\n0.50 -0.040639\n0.75 0.596164\nName: 14529, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1522952417452245, std values: 1.0690158124203735, min values: -2.739804196611005, max values: 6.0, median values: -0.1711899947512444, and quantile values: 0.25 -0.977789\n0.50 -0.171190\n0.75 0.577972\nName: 14530, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.029128774275988784, std values: 0.9562031951805082, min values: -2.72346435408924, max values: 4.0, median values: -0.0655077688949538, and quantile values: 0.25 -0.702766\n0.50 -0.065508\n0.75 0.650048\nName: 14531, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3384867374669953, std values: 0.9035891240034002, min values: -2.104667097879677, max values: 4.0, median values: 0.4059541976859849, and quantile values: 0.25 -0.343124\n0.50 0.405954\n0.75 1.028362\nName: 14532, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7349360412673225, std values: 1.1859442542834875, min values: -3.0148736195915964, max values: 3.9905524164385566, median values: -0.7693227915048965, and quantile values: 0.25 -1.593578\n0.50 -0.769323\n0.75 0.098217\nName: 14533, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06304816622700829, std values: 0.799034840054324, min values: -2.147228856409125, max values: 3.236860296211547, median values: 0.0390055557605113, and quantile values: 0.25 -0.475929\n0.50 0.039006\n0.75 0.566101\nName: 14534, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.053681561968240275, std values: 0.8235519689240542, min values: -2.094811568530773, max values: 3.319774799707247, median values: 0.0948497246833135, and quantile values: 0.25 -0.545025\n0.50 0.094850\n0.75 0.678575\nName: 14535, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6838298818211587, std values: 1.2483793076576684, min values: -2.442256129120324, max values: 6.0, median values: 0.7295119093815876, and quantile values: 0.25 -0.282465\n0.50 0.729512\n0.75 1.756108\nName: 14536, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01032794615915363, std values: 1.0024188284723323, min values: -2.8531572940820533, max values: 6.0, median values: -0.0601545796854796, and quantile values: 0.25 -0.581532\n0.50 -0.060155\n0.75 0.563434\nName: 14537, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1591383966650286, std values: 0.956638379432571, min values: -2.4564928597243227, max values: 4.0, median values: -0.1814881147105743, and quantile values: 0.25 -0.916244\n0.50 -0.181488\n0.75 0.499541\nName: 14538, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.014978671505984439, std values: 1.0452499053140527, min values: -2.5156802245814003, max values: 4.0, median values: -0.0231402448608761, and quantile values: 0.25 -0.842367\n0.50 -0.023140\n0.75 0.858876\nName: 14539, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4893994059064073, std values: 0.9554317091567227, min values: -1.9730063726131395, max values: 4.0, median values: 0.5387843827291431, and quantile values: 0.25 -0.254087\n0.50 0.538784\n0.75 1.282617\nName: 14540, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4248612360841764, std values: 0.9060350549478082, min values: -2.068409635448683, max values: 5.0, median values: 0.4645519447913533, and quantile values: 0.25 -0.216063\n0.50 0.464552\n0.75 1.127753\nName: 14541, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.221650514964819, std values: 0.8754047362793006, min values: -2.264034258932616, max values: 3.0, median values: 0.3164209184779608, and quantile values: 0.25 -0.421319\n0.50 0.316421\n0.75 0.922447\nName: 14542, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2436307397575889, std values: 0.9073542490891316, min values: -2.8547740449753216, max values: 5.0, median values: -0.2709149229810373, and quantile values: 0.25 -0.869381\n0.50 -0.270915\n0.75 0.378337\nName: 14543, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23849317501740688, std values: 0.761840404306696, min values: -2.572123985342288, max values: 4.0, median values: -0.2177274442533152, and quantile values: 0.25 -0.770206\n0.50 -0.217727\n0.75 0.236888\nName: 14544, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.048645154073086, std values: 0.7800512324925338, min values: -1.9914689440550823, max values: 5.0, median values: 0.0230929632205081, and quantile values: 0.25 -0.492589\n0.50 0.023093\n0.75 0.539629\nName: 14545, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4787845630210807, std values: 0.9541574035873269, min values: -2.4176069991382847, max values: 6.0, median values: -0.6840629775217247, and quantile values: 0.25 -1.198402\n0.50 -0.684063\n0.75 0.160358\nName: 14546, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3678065201234716, std values: 0.8567461782302612, min values: -2.079782423457438, max values: 4.0, median values: 0.4537164022942307, and quantile values: 0.25 -0.193227\n0.50 0.453716\n0.75 0.981100\nName: 14547, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20217210910321598, std values: 1.099435961413957, min values: -2.92272757463548, max values: 6.0, median values: -0.0742867175845967, and quantile values: 0.25 -0.718363\n0.50 -0.074287\n0.75 0.547450\nName: 14548, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4295112470820402, std values: 1.0917708580124994, min values: -2.1165037606107773, max values: 3.518664430018096, median values: 0.4600546376501505, and quantile values: 0.25 -0.396676\n0.50 0.460055\n0.75 1.327930\nName: 14549, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47056465183783325, std values: 0.8177028628184493, min values: -2.1232100101643527, max values: 6.0, median values: 0.5245469566931766, and quantile values: 0.25 -0.080468\n0.50 0.524547\n0.75 1.038698\nName: 14550, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3188197070035473, std values: 1.0137992886717797, min values: -2.2837882496430213, max values: 4.0, median values: 0.331190651896137, and quantile values: 0.25 -0.461974\n0.50 0.331191\n0.75 1.184453\nName: 14551, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4006957649337313, std values: 0.9731269155908914, min values: -2.1775880058603043, max values: 2.917687790776004, median values: 0.3951274298338228, and quantile values: 0.25 -0.341745\n0.50 0.395127\n0.75 1.203040\nName: 14552, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06465646360502854, std values: 0.96381913877975, min values: -2.052224560448137, max values: 3.3337116327022187, median values: -0.1224421100881412, and quantile values: 0.25 -0.788677\n0.50 -0.122442\n0.75 0.640882\nName: 14553, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.008788100828877482, std values: 0.8860706215903869, min values: -2.3051140900529563, max values: 3.163266084685921, median values: -0.0494807898777678, and quantile values: 0.25 -0.685464\n0.50 -0.049481\n0.75 0.581817\nName: 14554, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24944010837105496, std values: 1.1934791760224348, min values: -2.7510671817729784, max values: 6.0, median values: 0.3724789370043384, and quantile values: 0.25 -0.380816\n0.50 0.372479\n0.75 1.042389\nName: 14555, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19353709350130152, std values: 1.0283067273944593, min values: -3.062179113294277, max values: 3.8226908388056136, median values: 0.289301090651903, and quantile values: 0.25 -0.524737\n0.50 0.289301\n0.75 0.878870\nName: 14556, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18473580043694865, std values: 0.7307098669553166, min values: -2.8121055320525654, max values: 5.0, median values: 0.2212137751870249, and quantile values: 0.25 -0.267335\n0.50 0.221214\n0.75 0.636445\nName: 14557, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30544180200100884, std values: 0.7267644872626233, min values: -2.5832619696830608, max values: 6.0, median values: -0.3140115991762662, and quantile values: 0.25 -0.822120\n0.50 -0.314012\n0.75 0.123663\nName: 14558, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.519438439553026, std values: 0.9259301199668382, min values: -2.169311742921253, max values: 6.0, median values: 0.53752779505737, and quantile values: 0.25 -0.173706\n0.50 0.537528\n0.75 1.288611\nName: 14559, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22092097726423343, std values: 0.8856298515470873, min values: -2.269277951676964, max values: 6.0, median values: 0.2822106815794623, and quantile values: 0.25 -0.415056\n0.50 0.282211\n0.75 0.892092\nName: 14560, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3796990215311104, std values: 0.7709876633406624, min values: -2.580492024304656, max values: 3.260388056018088, median values: 0.3702253116880662, and quantile values: 0.25 -0.095016\n0.50 0.370225\n0.75 0.868003\nName: 14561, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22779056353318264, std values: 0.8077526029830069, min values: -2.267175988438518, max values: 5.0, median values: 0.2714473056478399, and quantile values: 0.25 -0.302808\n0.50 0.271447\n0.75 0.792988\nName: 14562, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16176964704050592, std values: 0.7191808707543601, min values: -2.4176069991382847, max values: 6.0, median values: 0.187898990787038, and quantile values: 0.25 -0.293518\n0.50 0.187899\n0.75 0.591244\nName: 14563, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6281865415909419, std values: 1.1839258805553692, min values: -2.129106615513547, max values: 3.9905524164385566, median values: 0.6071952261161988, and quantile values: 0.25 -0.279915\n0.50 0.607195\n0.75 1.593817\nName: 14564, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4359506773301529, std values: 0.8602353226035926, min values: -2.124562785567106, max values: 3.5581019918925243, median values: -0.5612196129464333, and quantile values: 0.25 -1.050926\n0.50 -0.561220\n0.75 0.077955\nName: 14565, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10616716234128462, std values: 0.7536782339823463, min values: -2.732564679617164, max values: 3.0, median values: -0.0858513261978983, and quantile values: 0.25 -0.625112\n0.50 -0.085851\n0.75 0.348088\nName: 14566, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18521863645596215, std values: 0.8409321899424455, min values: -2.347961668087449, max values: 3.379902545505621, median values: 0.1749086091491285, and quantile values: 0.25 -0.478337\n0.50 0.174909\n0.75 0.772377\nName: 14567, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28644248770611525, std values: 0.9709136012778209, min values: -2.5624611946462936, max values: 5.0, median values: 0.370000505408002, and quantile values: 0.25 -0.352773\n0.50 0.370001\n0.75 1.011825\nName: 14568, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39699908305799725, std values: 1.1016802034643103, min values: -2.5039074859839925, max values: 4.243835016543704, median values: 0.2865940070776218, and quantile values: 0.25 -0.500131\n0.50 0.286594\n0.75 1.205410\nName: 14569, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10473725028790425, std values: 0.755576502390827, min values: -2.0185991952196947, max values: 3.0, median values: 0.0541136092425591, and quantile values: 0.25 -0.400468\n0.50 0.054114\n0.75 0.579568\nName: 14570, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04284077658685435, std values: 0.7690575722383681, min values: -2.662750916816848, max values: 5.0, median values: -0.0919731878866616, and quantile values: 0.25 -0.542977\n0.50 -0.091973\n0.75 0.417763\nName: 14571, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32947579727003645, std values: 0.8765704721815125, min values: -2.075689841339451, max values: 3.5908526919299577, median values: 0.3261764478239896, and quantile values: 0.25 -0.330666\n0.50 0.326176\n0.75 1.039378\nName: 14572, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1274681093703996, std values: 0.8259561553378724, min values: -2.693453432157769, max values: 3.349054967837474, median values: -0.1039185748457584, and quantile values: 0.25 -0.708182\n0.50 -0.103919\n0.75 0.395544\nName: 14573, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1435481451154923, std values: 0.8304407155614525, min values: -2.486556664247513, max values: 3.0, median values: -0.1134293423624671, and quantile values: 0.25 -0.646030\n0.50 -0.113429\n0.75 0.350654\nName: 14574, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3180883831771682, std values: 0.8451870169776281, min values: -2.3771558481240653, max values: 4.0, median values: 0.2890053688522985, and quantile values: 0.25 -0.231368\n0.50 0.289005\n0.75 0.819536\nName: 14575, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12623065974833642, std values: 0.8244236846435349, min values: -2.3771558481240653, max values: 4.0, median values: -0.2223038032437926, and quantile values: 0.25 -0.706614\n0.50 -0.222304\n0.75 0.388912\nName: 14576, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26414744941532614, std values: 0.9011876691535842, min values: -2.0362317154895964, max values: 3.147276669305989, median values: -0.4023135184611819, and quantile values: 0.25 -0.987671\n0.50 -0.402314\n0.75 0.373746\nName: 14577, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2810539246300138, std values: 0.7950317540541861, min values: -2.542889966859849, max values: 6.0, median values: 0.3307662442532819, and quantile values: 0.25 -0.247670\n0.50 0.330766\n0.75 0.841347\nName: 14578, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15143937071087687, std values: 0.7978169327215685, min values: -2.783691185534105, max values: 2.788483808748111, median values: 0.2343670122718391, and quantile values: 0.25 -0.347966\n0.50 0.234367\n0.75 0.663773\nName: 14579, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14005048118603677, std values: 0.8689928201530017, min values: -2.679056533720636, max values: 5.0, median values: -0.1977467083637121, and quantile values: 0.25 -0.695513\n0.50 -0.197747\n0.75 0.385404\nName: 14580, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22931946817280896, std values: 0.7697965293181721, min values: -3.530441124712342, max values: 3.5908526919299577, median values: -0.3255281690497493, and quantile values: 0.25 -0.769069\n0.50 -0.325528\n0.75 0.244722\nName: 14581, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3240631908419842, std values: 0.9308027372034579, min values: -2.6603025395856053, max values: 5.0, median values: -0.4281301580669722, and quantile values: 0.25 -0.984175\n0.50 -0.428130\n0.75 0.260338\nName: 14582, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6107134324191464, std values: 0.8194427865337255, min values: -2.5213149333948146, max values: 3.528773265847577, median values: 0.7325513301571808, and quantile values: 0.25 0.073380\n0.50 0.732551\n0.75 1.151551\nName: 14583, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07887357207168455, std values: 1.1457754781507699, min values: -2.928515832252388, max values: 5.0, median values: 0.1939243987245479, and quantile values: 0.25 -0.510200\n0.50 0.193924\n0.75 0.861288\nName: 14584, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4321355910022177, std values: 1.490905609537344, min values: -3.0363117572416627, max values: 5.0, median values: 0.4315735066411544, and quantile values: 0.25 -0.437687\n0.50 0.431574\n0.75 1.558585\nName: 14585, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2768872143744256, std values: 1.1991257500919597, min values: -2.8834699678265463, max values: 5.0, median values: 0.5333640668663742, and quantile values: 0.25 -0.256477\n0.50 0.533364\n0.75 1.124295\nName: 14586, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2841316485204597, std values: 1.2463979552532565, min values: -3.236860296211546, max values: 3.280245386470253, median values: 0.5608876561128121, and quantile values: 0.25 -0.399777\n0.50 0.560888\n0.75 1.187042\nName: 14587, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05291232779715631, std values: 1.1030278693055695, min values: -2.605844844843939, max values: 4.0, median values: 0.0052049536697612, and quantile values: 0.25 -0.837674\n0.50 0.005205\n0.75 0.685913\nName: 14588, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25609904337146394, std values: 0.7810245135781616, min values: -2.732564679617164, max values: 3.05919958255637, median values: 0.3320395809622025, and quantile values: 0.25 -0.274324\n0.50 0.332040\n0.75 0.811771\nName: 14589, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17076892931802148, std values: 0.9365220751764787, min values: -2.564449278715455, max values: 3.9905524164385566, median values: -0.2533519841976141, and quantile values: 0.25 -0.867410\n0.50 -0.253352\n0.75 0.416508\nName: 14590, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.419370177139424, std values: 0.8730930242213562, min values: -2.8164291268114208, max values: 4.0, median values: 0.4740185121418904, and quantile values: 0.25 -0.199685\n0.50 0.474019\n0.75 1.110772\nName: 14591, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01635060920610933, std values: 0.7594755661484174, min values: -2.3808324358856225, max values: 3.280245386470253, median values: 0.0030017896314839, and quantile values: 0.25 -0.465807\n0.50 0.003002\n0.75 0.477843\nName: 14592, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.007930523781532023, std values: 0.7981884673726941, min values: -2.589966702820638, max values: 6.0, median values: -0.092747508983451, and quantile values: 0.25 -0.521025\n0.50 -0.092748\n0.75 0.443909\nName: 14593, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5908105973160414, std values: 0.9547018464719044, min values: -2.6685266729136536, max values: 6.0, median values: -0.7435544151061348, and quantile values: 0.25 -1.357681\n0.50 -0.743554\n0.75 0.029855\nName: 14594, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09402040955585184, std values: 1.0065719454213649, min values: -2.608390851963037, max values: 5.0, median values: 0.2056906442761419, and quantile values: 0.25 -0.482345\n0.50 0.205691\n0.75 0.825052\nName: 14595, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09494773997851048, std values: 1.1024096369344905, min values: -2.842043939794492, max values: 3.0, median values: -0.016781285771418, and quantile values: 0.25 -0.845670\n0.50 -0.016781\n0.75 0.769465\nName: 14596, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06554192537148777, std values: 0.801370723508676, min values: -2.132840460960708, max values: 6.0, median values: -0.0656733605885178, and quantile values: 0.25 -0.650107\n0.50 -0.065673\n0.75 0.540457\nName: 14597, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37587072411200373, std values: 0.915203460323186, min values: -2.933035609461076, max values: 5.0, median values: -0.3554078974477418, and quantile values: 0.25 -0.995416\n0.50 -0.355408\n0.75 0.178069\nName: 14598, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15145030935657913, std values: 0.9642895328724517, min values: -2.5399045531878324, max values: 4.0, median values: -0.2351378811117085, and quantile values: 0.25 -0.851117\n0.50 -0.235138\n0.75 0.471586\nName: 14599, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.036201264950542725, std values: 0.7506348906352313, min values: -2.5445249319512966, max values: 3.784832159836258, median values: 0.0065704395162307, and quantile values: 0.25 -0.440307\n0.50 0.006570\n0.75 0.466580\nName: 14600, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6649816961376416, std values: 0.9288189045362859, min values: -2.6466193392086392, max values: 4.0, median values: -0.8458277035340483, and quantile values: 0.25 -1.341581\n0.50 -0.845828\n0.75 -0.103734\nName: 14601, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17100609431456085, std values: 1.0056102562514828, min values: -2.179853905073574, max values: 6.0, median values: 0.1770343190004528, and quantile values: 0.25 -0.633842\n0.50 0.177034\n0.75 0.978118\nName: 14602, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31828624578950443, std values: 0.885560922783282, min values: -2.047302085077502, max values: 3.071353155688046, median values: 0.3564977867649535, and quantile values: 0.25 -0.286567\n0.50 0.356498\n0.75 0.920847\nName: 14603, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22957726072816526, std values: 0.8795481281471189, min values: -2.5961021427111413, max values: 3.026950214607353, median values: 0.2116674127981166, and quantile values: 0.25 -0.290287\n0.50 0.211667\n0.75 0.765842\nName: 14604, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2696090847312506, std values: 1.2591892782126588, min values: -2.1227739687253626, max values: 3.4217036547572275, median values: 0.249936076840421, and quantile values: 0.25 -0.816188\n0.50 0.249936\n0.75 1.234256\nName: 14605, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4156651432591326, std values: 0.9516718823663751, min values: -3.045947208515832, max values: 6.0, median values: 0.5060659238052501, and quantile values: 0.25 -0.100070\n0.50 0.506066\n0.75 1.009619\nName: 14606, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.258458544803123, std values: 0.7760208655687529, min values: -2.014499854917138, max values: 5.0, median values: -0.3375389584244338, and quantile values: 0.25 -0.759321\n0.50 -0.337539\n0.75 0.194855\nName: 14607, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09026532926608727, std values: 0.8339398577169849, min values: -2.117561035454381, max values: 3.036311757241655, median values: -0.170436198703749, and quantile values: 0.25 -0.703436\n0.50 -0.170436\n0.75 0.474327\nName: 14608, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32543685518110244, std values: 1.0072988205573448, min values: -2.679056533720636, max values: 5.0, median values: -0.4127904741264004, and quantile values: 0.25 -1.047714\n0.50 -0.412790\n0.75 0.295903\nName: 14609, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4369848853998899, std values: 0.9125358802595995, min values: -2.841647375415054, max values: 2.493906395995157, median values: -0.4601071838143215, and quantile values: 0.25 -0.992378\n0.50 -0.460107\n0.75 0.119829\nName: 14610, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.013689135778132988, std values: 1.2658172393965865, min values: -2.8680719719444903, max values: 3.721862465295849, median values: -0.050741412085626, and quantile values: 0.25 -1.000809\n0.50 -0.050741\n0.75 0.868140\nName: 14611, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14760202602138844, std values: 0.8423404870671348, min values: -2.0261424089339126, max values: 3.110498035652072, median values: 0.1928166941218252, and quantile values: 0.25 -0.436142\n0.50 0.192817\n0.75 0.686870\nName: 14612, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14328732203727937, std values: 0.95776968680428, min values: -2.342049220700044, max values: 6.0, median values: 0.0817244587654264, and quantile values: 0.25 -0.579600\n0.50 0.081724\n0.75 0.802573\nName: 14613, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6718338397400601, std values: 1.107243681723284, min values: -2.6820581866633817, max values: 3.017846660960028, median values: -0.6431489656094428, and quantile values: 0.25 -1.611277\n0.50 -0.643149\n0.75 0.083622\nName: 14614, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4089555972186629, std values: 1.0862474123322736, min values: -3.236860296211546, max values: 2.594587658173244, median values: -0.2132729885787924, and quantile values: 0.25 -1.238316\n0.50 -0.213273\n0.75 0.394355\nName: 14615, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2709728482731477, std values: 0.9736080930017678, min values: -2.841647375415054, max values: 5.0, median values: -0.3451927595553914, and quantile values: 0.25 -1.053640\n0.50 -0.345193\n0.75 0.368656\nName: 14616, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2042516171781524, std values: 0.8037210743418473, min values: -2.4536054974529624, max values: 6.0, median values: 0.2551583924624278, and quantile values: 0.25 -0.338515\n0.50 0.255158\n0.75 0.759668\nName: 14617, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1424980073591425, std values: 0.8610035627112695, min values: -2.693453432157769, max values: 3.306454397423372, median values: -0.0537550770804232, and quantile values: 0.25 -0.705178\n0.50 -0.053755\n0.75 0.447163\nName: 14618, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3196531260151862, std values: 0.8452645785741502, min values: -2.57895707818966, max values: 6.0, median values: -0.3987529586457911, and quantile values: 0.25 -0.854441\n0.50 -0.398753\n0.75 0.173205\nName: 14619, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.48815744306925274, std values: 0.8076473050425947, min values: -2.084038461791521, max values: 6.0, median values: -0.6116345504837752, and quantile values: 0.25 -1.045809\n0.50 -0.611635\n0.75 -0.041230\nName: 14620, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.601700524518294, std values: 1.223635918855324, min values: -2.1644103278868894, max values: 5.0, median values: 0.5472201444935385, and quantile values: 0.25 -0.340292\n0.50 0.547220\n0.75 1.612961\nName: 14621, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06962974754731109, std values: 0.9020064087830609, min values: -2.068409635448683, max values: 3.260388056018088, median values: -0.130048271822072, and quantile values: 0.25 -0.794737\n0.50 -0.130048\n0.75 0.555144\nName: 14622, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09677081418913167, std values: 0.7819941179866859, min values: -2.0456684461002883, max values: 5.0, median values: -0.1497625815170636, and quantile values: 0.25 -0.602314\n0.50 -0.149763\n0.75 0.391011\nName: 14623, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23579897753746204, std values: 0.9826255858150043, min values: -2.9278427058120164, max values: 6.0, median values: 0.2384192466716619, and quantile values: 0.25 -0.389379\n0.50 0.238419\n0.75 0.866648\nName: 14624, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06715600654026521, std values: 0.8485730918941033, min values: -2.0340473177314244, max values: 3.0533207538164056, median values: -0.1568157951097723, and quantile values: 0.25 -0.664185\n0.50 -0.156816\n0.75 0.459585\nName: 14625, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18530944306410627, std values: 0.7409345090309063, min values: -2.053612783201618, max values: 3.236860296211547, median values: -0.1888212817683587, and quantile values: 0.25 -0.691424\n0.50 -0.188821\n0.75 0.268219\nName: 14626, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01394233229124664, std values: 1.1548370341888874, min values: -2.928515832252388, max values: 5.0, median values: -0.0655077688949538, and quantile values: 0.25 -0.886789\n0.50 -0.065508\n0.75 0.749257\nName: 14627, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6739972090836903, std values: 1.1645767553851802, min values: -2.7314147016889114, max values: 4.278004674434932, median values: 0.5015323957851898, and quantile values: 0.25 -0.188509\n0.50 0.501532\n0.75 1.529660\nName: 14628, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1549915472532673, std values: 0.9183036634303156, min values: -2.6412681606926487, max values: 3.0, median values: -0.281497508304826, and quantile values: 0.25 -0.845670\n0.50 -0.281498\n0.75 0.431601\nName: 14629, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05678076019903551, std values: 0.8477173880988068, min values: -1.9853052062516563, max values: 3.0, median values: -0.111430515639479, and quantile values: 0.25 -0.714879\n0.50 -0.111431\n0.75 0.541793\nName: 14630, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41430032325942573, std values: 0.9838439223264732, min values: -2.64479559868397, max values: 6.0, median values: 0.5401706909597342, and quantile values: 0.25 -0.250717\n0.50 0.540171\n0.75 1.145519\nName: 14631, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3049047856075506, std values: 1.124870843798181, min values: -2.610097161345549, max values: 4.0, median values: -0.1926240740297219, and quantile values: 0.25 -1.072898\n0.50 -0.192624\n0.75 0.481840\nName: 14632, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5639911924512635, std values: 0.9867216617163014, min values: -2.087432639025188, max values: 4.0, median values: 0.6148877205242284, and quantile values: 0.25 -0.162199\n0.50 0.614888\n0.75 1.217422\nName: 14633, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.040014667692949125, std values: 0.7716672760029994, min values: -2.0477799217050063, max values: 5.0, median values: -0.0190978404628023, and quantile values: 0.25 -0.564487\n0.50 -0.019098\n0.75 0.437315\nName: 14634, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09093193573869064, std values: 0.8839624749639847, min values: -2.6899145007874274, max values: 3.630507857092792, median values: -0.2127688154389738, and quantile values: 0.25 -0.735941\n0.50 -0.212769\n0.75 0.467977\nName: 14635, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10811075372103089, std values: 0.8765683639351091, min values: -2.783691185534105, max values: 2.949186837165591, median values: -0.2289922077640675, and quantile values: 0.25 -0.763901\n0.50 -0.228992\n0.75 0.469340\nName: 14636, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11608924866629414, std values: 0.9448226612327401, min values: -2.507723364852832, max values: 3.191712471143802, median values: -0.1929611638854576, and quantile values: 0.25 -0.871872\n0.50 -0.192961\n0.75 0.538238\nName: 14637, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19348329624811952, std values: 1.3084635914720073, min values: -2.8547740449753216, max values: 5.0, median values: -0.0704763216645648, and quantile values: 0.25 -1.254244\n0.50 -0.070476\n0.75 0.699070\nName: 14638, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10164184878447843, std values: 1.0464701130152867, min values: -2.6320986139293034, max values: 3.528773265847577, median values: -0.0489293364410322, and quantile values: 0.25 -0.829828\n0.50 -0.048929\n0.75 0.714910\nName: 14639, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3738019884513303, std values: 0.836477805613059, min values: -2.335132881976644, max values: 3.434669824302974, median values: 0.46784539961088, and quantile values: 0.25 -0.178534\n0.50 0.467845\n0.75 1.010030\nName: 14640, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.004447309917268562, std values: 0.9649775463162522, min values: -2.862971749830789, max values: 3.721862465295849, median values: -0.0609201443256328, and quantile values: 0.25 -0.671067\n0.50 -0.060920\n0.75 0.685674\nName: 14641, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24928985623561478, std values: 0.7968650551327305, min values: -2.058476652448415, max values: 2.8078132200350066, median values: -0.3100025752217147, and quantile values: 0.25 -0.804182\n0.50 -0.310003\n0.75 0.240202\nName: 14642, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3862610452329464, std values: 1.0386403414646672, min values: -2.9666813816765707, max values: 4.0, median values: -0.4974766012521254, and quantile values: 0.25 -1.095840\n0.50 -0.497477\n0.75 0.264350\nName: 14643, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.501771357561784, std values: 1.0386840733334997, min values: -2.7542003929097176, max values: 5.0, median values: -0.5760272985337401, and quantile values: 0.25 -1.330728\n0.50 -0.576027\n0.75 0.227855\nName: 14644, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.049506773683228866, std values: 0.8444824671938034, min values: -2.579952672199424, max values: 6.0, median values: -0.0458138991400899, and quantile values: 0.25 -0.678055\n0.50 -0.045814\n0.75 0.551614\nName: 14645, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17389405868607508, std values: 0.8934545815654271, min values: -2.860922438481449, max values: 3.4758930087721422, median values: -0.211949053178297, and quantile values: 0.25 -0.748965\n0.50 -0.211949\n0.75 0.348594\nName: 14646, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5918748541635687, std values: 0.9359035853304102, min values: -2.077731782356476, max values: 3.784832159836258, median values: 0.61961896253393, and quantile values: 0.25 -0.114404\n0.50 0.619619\n0.75 1.366646\nName: 14647, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2421015369188681, std values: 1.2434514200444073, min values: -2.6668673616981367, max values: 4.0, median values: 0.4887686527662231, and quantile values: 0.25 -0.358788\n0.50 0.488769\n0.75 1.093534\nName: 14648, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08658927596495504, std values: 0.9893359423259607, min values: -2.067884917892885, max values: 3.721862465295849, median values: -0.0784998336083729, and quantile values: 0.25 -0.881865\n0.50 -0.078500\n0.75 0.647598\nName: 14649, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1834700420420786, std values: 0.971023966396878, min values: -3.101800431129944, max values: 6.0, median values: 0.1343397203742267, and quantile values: 0.25 -0.374177\n0.50 0.134340\n0.75 0.758220\nName: 14650, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19439957723825602, std values: 1.0019808845692428, min values: -2.8327898928872086, max values: 4.0, median values: -0.2461832712887182, and quantile values: 0.25 -0.970760\n0.50 -0.246183\n0.75 0.515186\nName: 14651, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09307180505426352, std values: 0.7606176967048326, min values: -2.12073996675014, max values: 3.709787027503053, median values: -0.0610926385681485, and quantile values: 0.25 -0.599851\n0.50 -0.061093\n0.75 0.345660\nName: 14652, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5088746609663436, std values: 0.8600051254846469, min values: -2.7542003929097176, max values: 5.0, median values: -0.570243708154038, and quantile values: 0.25 -1.100323\n0.50 -0.570244\n0.75 0.026048\nName: 14653, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24936098872814008, std values: 0.8268273721453064, min values: -2.7314147016889114, max values: 3.5427287984042666, median values: 0.3242328507495418, and quantile values: 0.25 -0.290213\n0.50 0.324233\n0.75 0.807835\nName: 14654, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09423399204414797, std values: 0.9729909300323193, min values: -2.87684958111886, max values: 3.030805337148847, median values: -0.0571752103334642, and quantile values: 0.25 -0.630321\n0.50 -0.057175\n0.75 0.546683\nName: 14655, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14094905110357425, std values: 0.8018420817322764, min values: -2.1798712735263623, max values: 2.98373867666567, median values: 0.1736848005693142, and quantile values: 0.25 -0.396016\n0.50 0.173685\n0.75 0.666367\nName: 14656, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4917452945501174, std values: 1.0714695533845109, min values: -2.0466307539226203, max values: 6.0, median values: 0.481241344996861, and quantile values: 0.25 -0.318583\n0.50 0.481241\n0.75 1.396594\nName: 14657, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0016209357487832724, std values: 0.9339362385852553, min values: -2.580492024304656, max values: 4.278004674434932, median values: -0.0821038816569292, and quantile values: 0.25 -0.608133\n0.50 -0.082104\n0.75 0.571994\nName: 14658, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24146598526925053, std values: 0.8183634916697469, min values: -2.0279821064908434, max values: 5.0, median values: -0.3464846961770725, and quantile values: 0.25 -0.832629\n0.50 -0.346485\n0.75 0.298333\nName: 14659, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3343046353471272, std values: 0.9242826636552893, min values: -2.041514276272496, max values: 2.894191510795044, median values: 0.3914974462844419, and quantile values: 0.25 -0.320538\n0.50 0.391497\n0.75 1.036826\nName: 14660, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5734075506477115, std values: 0.9351791954395019, min values: -2.6635706018350787, max values: 3.9048392686725855, median values: 0.6954168382589018, and quantile values: 0.25 -0.055134\n0.50 0.695417\n0.75 1.246909\nName: 14661, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24148035670032714, std values: 0.911733156290348, min values: -2.928515832252388, max values: 5.0, median values: 0.3012303492580952, and quantile values: 0.25 -0.294332\n0.50 0.301230\n0.75 0.830045\nName: 14662, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.022780417656752112, std values: 0.9000432527203319, min values: -2.5213149333948146, max values: 3.5908526919299577, median values: 0.0311316703538263, and quantile values: 0.25 -0.639544\n0.50 0.031132\n0.75 0.620292\nName: 14663, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.542123137935586, std values: 0.844801232926022, min values: -1.8704653567985832, max values: 3.0046625681201315, median values: 0.5940271451011943, and quantile values: 0.25 -0.046624\n0.50 0.594027\n0.75 1.203262\nName: 14664, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1278850631205464, std values: 0.8671753833880264, min values: -2.919359491767569, max values: 6.0, median values: -0.2415085055317873, and quantile values: 0.25 -0.765362\n0.50 -0.241509\n0.75 0.452580\nName: 14665, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0031594357499968315, std values: 0.9721030118239222, min values: -2.5201815750705507, max values: 4.0, median values: 0.0306009520195307, and quantile values: 0.25 -0.527125\n0.50 0.030601\n0.75 0.593356\nName: 14666, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32938166556234943, std values: 0.874700666809903, min values: -2.57895707818966, max values: 6.0, median values: 0.4634201619723547, and quantile values: 0.25 -0.212597\n0.50 0.463420\n0.75 0.970041\nName: 14667, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6113171344209242, std values: 0.8384590238184401, min values: -2.90140378513671, max values: 2.828252328349424, median values: 0.6953628082464214, and quantile values: 0.25 0.015643\n0.50 0.695363\n0.75 1.270302\nName: 14668, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04535920310900829, std values: 0.9581921786671164, min values: -2.6122411453164007, max values: 4.0, median values: 0.1677822850124848, and quantile values: 0.25 -0.475982\n0.50 0.167782\n0.75 0.684657\nName: 14669, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.3475897740180063, std values: 1.447236428620601, min values: -2.944950884974346, max values: 4.243835016543704, median values: -2.007941320616051, and quantile values: 0.25 -2.336864\n0.50 -2.007941\n0.75 -0.450800\nName: 14670, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05288797008347335, std values: 1.254226913684224, min values: -3.074005993202373, max values: 4.278004674434932, median values: -0.1357469293510498, and quantile values: 0.25 -0.825251\n0.50 -0.135747\n0.75 0.721611\nName: 14671, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0324927191441958, std values: 1.2155324156404983, min values: -2.5820330744015787, max values: 4.0, median values: -0.1569128814354588, and quantile values: 0.25 -0.979319\n0.50 -0.156913\n0.75 0.833993\nName: 14672, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5783153334154341, std values: 1.2455339651559902, min values: -2.9029979285382743, max values: 3.0, median values: -0.5287280764064002, and quantile values: 0.25 -1.619768\n0.50 -0.528728\n0.75 0.346936\nName: 14673, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16534396921264186, std values: 0.8849826452819666, min values: -2.58513369695146, max values: 4.0, median values: -0.2707678182642909, and quantile values: 0.25 -0.732599\n0.50 -0.270768\n0.75 0.417995\nName: 14674, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3210778674833473, std values: 0.837816499185221, min values: -2.0680083796580035, max values: 6.0, median values: 0.326724864402488, and quantile values: 0.25 -0.222037\n0.50 0.326725\n0.75 0.861545\nName: 14675, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3261455253563954, std values: 0.7903589523982443, min values: -2.5689076212724418, max values: 5.0, median values: 0.4106295802827561, and quantile values: 0.25 -0.183668\n0.50 0.410630\n0.75 0.852463\nName: 14676, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20645986991333343, std values: 0.7952443051503106, min values: -2.5445249319512966, max values: 3.0362913622068968, median values: 0.1724612520633357, and quantile values: 0.25 -0.321321\n0.50 0.172461\n0.75 0.720004\nName: 14677, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04907472644684282, std values: 0.8538422488494064, min values: -2.7314147016889114, max values: 3.1888787873512885, median values: -0.129094822286044, and quantile values: 0.25 -0.624331\n0.50 -0.129095\n0.75 0.495369\nName: 14678, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2024714249311526, std values: 1.0494205138733943, min values: -3.074005993202373, max values: 3.630507857092792, median values: 0.353470062249538, and quantile values: 0.25 -0.324108\n0.50 0.353470\n0.75 0.872113\nName: 14679, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08469883523432871, std values: 0.9740866490811612, min values: -2.724017888297919, max values: 3.0, median values: -0.0745628744814014, and quantile values: 0.25 -0.814384\n0.50 -0.074563\n0.75 0.603648\nName: 14680, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49335013141590267, std values: 0.8518698537094425, min values: -2.172504607314173, max values: 3.2906806286429298, median values: -0.6365315423678303, and quantile values: 0.25 -1.146887\n0.50 -0.636532\n0.75 0.047496\nName: 14681, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14194149280095167, std values: 0.8628241388054825, min values: -2.3956757135390148, max values: 3.3337116327022187, median values: -0.2047734181965198, and quantile values: 0.25 -0.768392\n0.50 -0.204773\n0.75 0.440125\nName: 14682, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4269880420559002, std values: 0.87629883127194, min values: -2.4902145713898545, max values: 3.569037956734876, median values: -0.4183412300114218, and quantile values: 0.25 -1.027102\n0.50 -0.418341\n0.75 0.164264\nName: 14683, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15869195662391386, std values: 0.901953976279577, min values: -2.580492024304656, max values: 4.0, median values: -0.128992963184985, and quantile values: 0.25 -0.806848\n0.50 -0.128993\n0.75 0.525008\nName: 14684, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08647182300727123, std values: 1.0430138950402856, min values: -2.7230534645798463, max values: 3.0, median values: 0.099774992586195, and quantile values: 0.25 -0.628420\n0.50 0.099775\n0.75 0.609275\nName: 14685, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12776627701436682, std values: 1.1004071871932877, min values: -2.300042081328127, max values: 4.278004674434932, median values: 0.0243747054509282, and quantile values: 0.25 -0.738454\n0.50 0.024375\n0.75 0.904262\nName: 14686, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08821830209227334, std values: 0.7875803961923612, min values: -2.58513369695146, max values: 4.0, median values: -0.0561546185052361, and quantile values: 0.25 -0.527247\n0.50 -0.056155\n0.75 0.402569\nName: 14687, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1008453495667366, std values: 0.7839278500176043, min values: -2.90140378513671, max values: 3.5581019918925243, median values: 0.1248286621083084, and quantile values: 0.25 -0.401083\n0.50 0.124829\n0.75 0.597702\nName: 14688, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.515849876919401, std values: 0.8613886305276541, min values: -2.981718296512785, max values: 5.0, median values: 0.6363868390211801, and quantile values: 0.25 -0.076509\n0.50 0.636387\n0.75 1.165097\nName: 14689, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3926344697486264, std values: 0.956704799643792, min values: -2.0748754825589795, max values: 5.0, median values: -0.5648197892956854, and quantile values: 0.25 -1.141455\n0.50 -0.564820\n0.75 0.195894\nName: 14690, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16383460697221636, std values: 0.8363751659847609, min values: -2.428047068876455, max values: 3.2266531185902125, median values: -0.1635921363738856, and quantile values: 0.25 -0.759690\n0.50 -0.163592\n0.75 0.378833\nName: 14691, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2681174769911824, std values: 0.9667407174153662, min values: -2.7939007019027, max values: 3.670892362631932, median values: -0.379098855391248, and quantile values: 0.25 -0.980155\n0.50 -0.379099\n0.75 0.367141\nName: 14692, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15516635770655485, std values: 0.9309080196390638, min values: -2.5774281843044924, max values: 6.0, median values: 0.0838451863293978, and quantile values: 0.25 -0.547834\n0.50 0.083845\n0.75 0.834188\nName: 14693, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4070593975448845, std values: 0.914836517203008, min values: -2.3922473154067863, max values: 5.0, median values: 0.3995976772852655, and quantile values: 0.25 -0.221422\n0.50 0.399598\n0.75 1.034174\nName: 14694, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0845300486953969, std values: 0.7682819267232963, min values: -2.62876542141649, max values: 3.103622965243153, median values: 0.1077451017419455, and quantile values: 0.25 -0.423572\n0.50 0.107745\n0.75 0.570730\nName: 14695, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06431984026816376, std values: 0.8216283971323405, min values: -2.8327898928872086, max values: 4.243835016543704, median values: 0.1075073838845539, and quantile values: 0.25 -0.506379\n0.50 0.107507\n0.75 0.597561\nName: 14696, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.46967494504684976, std values: 0.9220819634367021, min values: -2.688157591415518, max values: 5.0, median values: 0.4125770728641745, and quantile values: 0.25 -0.122734\n0.50 0.412577\n0.75 1.076664\nName: 14697, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20627778664496255, std values: 0.9903447943795742, min values: -2.6404955031131814, max values: 6.0, median values: 0.0910713073648093, and quantile values: 0.25 -0.555498\n0.50 0.091071\n0.75 0.922574\nName: 14698, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32203014216438425, std values: 0.9757658399292963, min values: -2.788272971802125, max values: 3.071284484560209, median values: -0.4065274570634254, and quantile values: 0.25 -1.113890\n0.50 -0.406527\n0.75 0.326487\nName: 14699, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2148040564456283, std values: 0.8214645630411874, min values: -2.096768618411309, max values: 3.1047159712539405, median values: -0.265329031994177, and quantile values: 0.25 -0.760709\n0.50 -0.265329\n0.75 0.244399\nName: 14700, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.028012732287323993, std values: 0.9309641059975114, min values: -2.5743883495350026, max values: 5.0, median values: 0.0689254814452398, and quantile values: 0.25 -0.679081\n0.50 0.068925\n0.75 0.641660\nName: 14701, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3025327061461641, std values: 0.8476517586950713, min values: -2.0446222759012818, max values: 3.1485882570365185, median values: 0.351689130752075, and quantile values: 0.25 -0.270276\n0.50 0.351689\n0.75 0.876957\nName: 14702, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4614441651463809, std values: 0.8288226233858796, min values: -1.9991292149628368, max values: 4.0, median values: 0.5522232399052281, and quantile values: 0.25 -0.092028\n0.50 0.552223\n0.75 1.044462\nName: 14703, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30650856965498796, std values: 0.8267656253858747, min values: -2.732564679617164, max values: 3.5581019918925243, median values: 0.3186248772702268, and quantile values: 0.25 -0.218211\n0.50 0.318625\n0.75 0.853096\nName: 14704, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15142731477840699, std values: 0.8505338034061923, min values: -2.8246479422601736, max values: 6.0, median values: -0.1562860967884114, and quantile values: 0.25 -0.640037\n0.50 -0.156286\n0.75 0.377474\nName: 14705, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2578428418197574, std values: 0.7825747200782888, min values: -2.5825978442440407, max values: 6.0, median values: 0.2554520371240212, and quantile values: 0.25 -0.220536\n0.50 0.255452\n0.75 0.724293\nName: 14706, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39658827179151557, std values: 1.0195373952174998, min values: -2.608390851963037, max values: 5.0, median values: -0.4715548480153696, and quantile values: 0.25 -1.037392\n0.50 -0.471555\n0.75 0.238473\nName: 14707, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2546597422362953, std values: 0.7976379056006033, min values: -2.196181211030292, max values: 3.1227871431249503, median values: -0.3479709392700831, and quantile values: 0.25 -0.831500\n0.50 -0.347971\n0.75 0.239267\nName: 14708, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06005835632436068, std values: 1.1742769108946671, min values: -2.6668673616981367, max values: 4.0, median values: 0.202804208283117, and quantile values: 0.25 -0.581112\n0.50 0.202804\n0.75 0.960401\nName: 14709, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4855220708502067, std values: 0.9168560564655762, min values: -2.673549169958716, max values: 6.0, median values: -0.5364630917754775, and quantile values: 0.25 -1.109724\n0.50 -0.536463\n0.75 0.015395\nName: 14710, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21483070484683037, std values: 0.8014540462704661, min values: -2.0830817533965043, max values: 4.243835016543704, median values: -0.2322232367831049, and quantile values: 0.25 -0.753566\n0.50 -0.232223\n0.75 0.259825\nName: 14711, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23518688553705686, std values: 1.0398612224972397, min values: -2.730840794324401, max values: 3.9048392686725855, median values: 0.1744612695332865, and quantile values: 0.25 -0.535863\n0.50 0.174461\n0.75 1.055998\nName: 14712, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2982243848774523, std values: 1.0181228637025175, min values: -2.638186942019407, max values: 4.0, median values: -0.4002838196144436, and quantile values: 0.25 -0.976032\n0.50 -0.400284\n0.75 0.373036\nName: 14713, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37211698460542336, std values: 1.2073931072089583, min values: -2.949186837165601, max values: 4.0, median values: -0.1927223168958998, and quantile values: 0.25 -1.074601\n0.50 -0.192722\n0.75 0.464549\nName: 14714, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36109932465776007, std values: 0.8117257726738827, min values: -2.0235720839868767, max values: 3.627976272701048, median values: 0.44950796947495, and quantile values: 0.25 -0.188653\n0.50 0.449508\n0.75 0.915055\nName: 14715, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.032675711144678064, std values: 0.7357447988220838, min values: -2.2065783767301927, max values: 6.0, median values: -0.0107680794983463, and quantile values: 0.25 -0.433002\n0.50 -0.010768\n0.75 0.465592\nName: 14716, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5479210262631878, std values: 0.9112980439258818, min values: -3.074005993202373, max values: 3.598076523509904, median values: 0.6602709989434298, and quantile values: 0.25 -0.032364\n0.50 0.660271\n0.75 1.182085\nName: 14717, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10856309407836874, std values: 0.8932792644248982, min values: -2.8843374390620142, max values: 6.0, median values: -0.1817079718831609, and quantile values: 0.25 -0.813086\n0.50 -0.181708\n0.75 0.523832\nName: 14718, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43571086433827, std values: 0.9067325950537621, min values: -2.673549169958716, max values: 6.0, median values: -0.5232001438804829, and quantile values: 0.25 -1.129854\n0.50 -0.523200\n0.75 0.162338\nName: 14719, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7767281733674715, std values: 0.9485455656747532, min values: -2.887007053971579, max values: 3.030805337148847, median values: -0.9862096443797068, and quantile values: 0.25 -1.487378\n0.50 -0.986210\n0.75 -0.185310\nName: 14720, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06564137281638927, std values: 0.8183867947204138, min values: -2.446475285346346, max values: 2.715682511788879, median values: -0.1467310367847522, and quantile values: 0.25 -0.640780\n0.50 -0.146731\n0.75 0.467803\nName: 14721, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6898305247197332, std values: 0.9850938357376211, min values: -3.00972886875607, max values: 3.162318759909359, median values: -0.7456749868313488, and quantile values: 0.25 -1.544544\n0.50 -0.745675\n0.75 0.047665\nName: 14722, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15782066836169772, std values: 0.9913030856157763, min values: -2.64479559868397, max values: 6.0, median values: -0.1628407602369692, and quantile values: 0.25 -0.839386\n0.50 -0.162841\n0.75 0.454754\nName: 14723, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13421324240479052, std values: 0.7862944386238396, min values: -2.2161166709808824, max values: 6.0, median values: -0.22842682618897, and quantile values: 0.25 -0.705178\n0.50 -0.228427\n0.75 0.381201\nName: 14724, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21426757631078458, std values: 0.8944915754547829, min values: -2.196181211030292, max values: 5.0, median values: 0.2749634487938731, and quantile values: 0.25 -0.393002\n0.50 0.274963\n0.75 0.801920\nName: 14725, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5170709657892308, std values: 0.8087361018470597, min values: -2.783691185534105, max values: 3.32433157891547, median values: 0.60559854805085, and quantile values: 0.25 -0.001938\n0.50 0.605599\n0.75 1.061412\nName: 14726, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49471227088303227, std values: 1.374222294969811, min values: -3.101800431129944, max values: 6.0, median values: -0.5981717560194922, and quantile values: 0.25 -1.680139\n0.50 -0.598172\n0.75 0.676850\nName: 14727, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.153739167240443, std values: 0.9759258317834407, min values: -2.0305800740212328, max values: 3.319774799707247, median values: 0.0611754110385511, and quantile values: 0.25 -0.587829\n0.50 0.061175\n0.75 0.811931\nName: 14728, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4327292086968443, std values: 0.820543406259885, min values: -2.267175988438518, max values: 5.0, median values: 0.5196715232132164, and quantile values: 0.25 -0.104703\n0.50 0.519672\n0.75 0.993248\nName: 14729, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4907796771238155, std values: 0.9523357105820666, min values: -2.657870006553045, max values: 3.236860296211547, median values: -0.5637112649633823, and quantile values: 0.25 -1.249353\n0.50 -0.563711\n0.75 0.140749\nName: 14730, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13601439890028635, std values: 1.0095664742726533, min values: -2.7211321814067784, max values: 3.5908526919299577, median values: -0.0137084419296007, and quantile values: 0.25 -0.707969\n0.50 -0.013708\n0.75 0.523164\nName: 14731, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07784416093885783, std values: 0.9316017743589335, min values: -2.57895707818966, max values: 6.0, median values: -0.0124320695841309, and quantile values: 0.25 -0.751336\n0.50 -0.012432\n0.75 0.511923\nName: 14732, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30555533117486056, std values: 1.3825931092599748, min values: -2.8563982925340614, max values: 5.0, median values: -0.1122866975282549, and quantile values: 0.25 -1.707802\n0.50 -0.112287\n0.75 0.807382\nName: 14733, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3293284243576804, std values: 1.1219174770618874, min values: -2.769191083399913, max values: 3.197902420311553, median values: -0.2526686942144621, and quantile values: 0.25 -1.054701\n0.50 -0.252669\n0.75 0.467845\nName: 14734, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7894541943276565, std values: 1.1239136078717238, min values: -1.9691533142049409, max values: 3.670892362631932, median values: 0.7012859373706062, and quantile values: 0.25 -0.063935\n0.50 0.701286\n0.75 1.735710\nName: 14735, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11878118693732015, std values: 0.9208628423906461, min values: -2.8246479422601736, max values: 5.0, median values: -0.1476118323731329, and quantile values: 0.25 -0.688768\n0.50 -0.147612\n0.75 0.468111\nName: 14736, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15531208502233584, std values: 0.8967100968331938, min values: -2.087432639025188, max values: 4.0, median values: -0.1935390832474292, and quantile values: 0.25 -0.858896\n0.50 -0.193539\n0.75 0.444882\nName: 14737, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22023481107832013, std values: 0.7619298526849448, min values: -2.196708653609315, max values: 6.0, median values: -0.2019745267991133, and quantile values: 0.25 -0.756454\n0.50 -0.201975\n0.75 0.285385\nName: 14738, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49382215824646936, std values: 0.75677084775415, min values: -2.2915911556076085, max values: 3.2701555622463814, median values: 0.4649785397052964, and quantile values: 0.25 0.014156\n0.50 0.464979\n0.75 0.998001\nName: 14739, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8078280282094308, std values: 1.7594153671361963, min values: -3.05087304133376, max values: 5.0, median values: -1.7942378435834752, and quantile values: 0.25 -2.176018\n0.50 -1.794238\n0.75 0.484948\nName: 14740, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08794375464132405, std values: 0.8223088530532282, min values: -2.0041796351455177, max values: 6.0, median values: -0.1792780755759019, and quantile values: 0.25 -0.661718\n0.50 -0.179278\n0.75 0.417169\nName: 14741, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04122788825663022, std values: 0.9110340670942698, min values: -2.643887016977268, max values: 6.0, median values: 0.008895315426066, and quantile values: 0.25 -0.582820\n0.50 0.008895\n0.75 0.543600\nName: 14742, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.046678507863777335, std values: 0.8058751822378362, min values: -2.7871422803648627, max values: 3.5908526919299577, median values: -0.033992962887285, and quantile values: 0.25 -0.542020\n0.50 -0.033993\n0.75 0.431134\nName: 14743, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2907927623087969, std values: 0.7872540602130967, min values: -2.620939317041317, max values: 4.0, median values: 0.324192719618633, and quantile values: 0.25 -0.216977\n0.50 0.324193\n0.75 0.804715\nName: 14744, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18611043220397594, std values: 0.9233758738495651, min values: -2.622408470084112, max values: 3.379902545505621, median values: -0.3006828610196267, and quantile values: 0.25 -0.919233\n0.50 -0.300683\n0.75 0.446159\nName: 14745, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3470523832229325, std values: 0.7586407799161962, min values: -1.9946800637949191, max values: 3.721862465295849, median values: 0.3365243402879351, and quantile values: 0.25 -0.151186\n0.50 0.336524\n0.75 0.828042\nName: 14746, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25548931847082734, std values: 0.9939307010629397, min values: -2.525881048269423, max values: 3.0, median values: 0.3116500062665907, and quantile values: 0.25 -0.453625\n0.50 0.311650\n0.75 1.062368\nName: 14747, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21778770177743376, std values: 0.9122488581299559, min values: -2.5156802245814003, max values: 4.0, median values: 0.3565564795923572, and quantile values: 0.25 -0.370915\n0.50 0.356556\n0.75 0.874705\nName: 14748, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40771226512216663, std values: 1.2055963754953511, min values: -2.960014365184806, max values: 6.0, median values: -0.2058693208173957, and quantile values: 0.25 -1.206682\n0.50 -0.205869\n0.75 0.467582\nName: 14749, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04109708389804655, std values: 0.8795719663125708, min values: -2.365699495258936, max values: 4.0, median values: -0.0710578037992058, and quantile values: 0.25 -0.553049\n0.50 -0.071058\n0.75 0.575079\nName: 14750, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5150923033811906, std values: 0.884907904799691, min values: -2.733804248449497, max values: 3.379902545505621, median values: -0.5475782277425738, and quantile values: 0.25 -1.079605\n0.50 -0.547578\n0.75 0.004654\nName: 14751, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3422437004406046, std values: 0.8333101354208795, min values: -2.264034258932616, max values: 3.1801075704642923, median values: -0.4522516917737452, and quantile values: 0.25 -0.967685\n0.50 -0.452252\n0.75 0.200190\nName: 14752, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27604387057997287, std values: 0.8572835439140633, min values: -2.39180940730784, max values: 4.0, median values: -0.3716819818702777, and quantile values: 0.25 -0.938496\n0.50 -0.371682\n0.75 0.299847\nName: 14753, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14354854511907425, std values: 0.7356273145548099, min values: -1.9161148978267493, max values: 5.0, median values: 0.1523565373260209, and quantile values: 0.25 -0.329073\n0.50 0.152357\n0.75 0.609374\nName: 14754, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07347808341145023, std values: 0.8372766635502952, min values: -2.4200163349625687, max values: 5.0, median values: -0.0260000405777403, and quantile values: 0.25 -0.485214\n0.50 -0.026000\n0.75 0.584333\nName: 14755, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12928397550794477, std values: 0.9000227000489347, min values: -2.8246479422601736, max values: 5.0, median values: 0.2024087332832971, and quantile values: 0.25 -0.339790\n0.50 0.202409\n0.75 0.652678\nName: 14756, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2310665256245706, std values: 0.9243078675895561, min values: -2.93129584560762, max values: 6.0, median values: 0.3059020942270957, and quantile values: 0.25 -0.275793\n0.50 0.305902\n0.75 0.837078\nName: 14757, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25666171806555726, std values: 0.9311573765089943, min values: -2.5039074859839925, max values: 4.0, median values: 0.3075377888386187, and quantile values: 0.25 -0.445782\n0.50 0.307538\n0.75 1.007740\nName: 14758, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5531460866954746, std values: 0.8382031856474407, min values: -1.943410324985109, max values: 3.434669824302974, median values: 0.5661658577638324, and quantile values: 0.25 0.006310\n0.50 0.566166\n0.75 1.121880\nName: 14759, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09583225832504068, std values: 0.9080496227796716, min values: -1.9960914202996407, max values: 5.0, median values: -0.2107099609396396, and quantile values: 0.25 -0.812823\n0.50 -0.210710\n0.75 0.521160\nName: 14760, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09219146521634965, std values: 1.040875078703739, min values: -2.275531026921315, max values: 6.0, median values: 0.0207762240099638, and quantile values: 0.25 -0.728094\n0.50 0.020776\n0.75 0.791687\nName: 14761, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04528453795726041, std values: 0.9399156250020065, min values: -2.1695974540436334, max values: 4.0, median values: -0.0307111610465373, and quantile values: 0.25 -0.727232\n0.50 -0.030711\n0.75 0.720414\nName: 14762, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04326041444467973, std values: 1.1337448361116806, min values: -2.9622221028070275, max values: 6.0, median values: 0.2266463504961223, and quantile values: 0.25 -0.553104\n0.50 0.226646\n0.75 0.848509\nName: 14763, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8358379469263023, std values: 1.2384267764340853, min values: -2.740813841730953, max values: 3.709787027503053, median values: 0.8375860346887759, and quantile values: 0.25 -0.051769\n0.50 0.837586\n0.75 1.866134\nName: 14764, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32628055311661197, std values: 1.1339223214094332, min values: -2.9265160609644223, max values: 6.0, median values: 0.2580420907114865, and quantile values: 0.25 -0.358657\n0.50 0.258042\n0.75 1.049368\nName: 14765, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3797301682686224, std values: 0.8596900572236676, min values: -2.4536054974529624, max values: 6.0, median values: 0.3527146821959571, and quantile values: 0.25 -0.176709\n0.50 0.352715\n0.75 0.943041\nName: 14766, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03985585898821469, std values: 1.1440852215469905, min values: -2.497627580948261, max values: 4.278004674434932, median values: -0.1532481437106757, and quantile values: 0.25 -0.758438\n0.50 -0.153248\n0.75 0.598833\nName: 14767, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21613159350849756, std values: 0.835858888652484, min values: -2.0490968263769656, max values: 3.0, median values: -0.2755026438908931, and quantile values: 0.25 -0.795840\n0.50 -0.275503\n0.75 0.310116\nName: 14768, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.260108079997339, std values: 0.828947798067438, min values: -2.6652153608723106, max values: 3.455472209455805, median values: 0.2179802268433597, and quantile values: 0.25 -0.305383\n0.50 0.217980\n0.75 0.846941\nName: 14769, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6515798597053906, std values: 1.1640011880186882, min values: -3.0148736195915964, max values: 3.241738645014612, median values: -0.5213379053285147, and quantile values: 0.25 -1.577860\n0.50 -0.521338\n0.75 0.168960\nName: 14770, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17691497196745753, std values: 1.0502133515161536, min values: -2.087919489660226, max values: 3.0097288687560817, median values: -0.1820439549078622, and quantile values: 0.25 -1.079323\n0.50 -0.182044\n0.75 0.620378\nName: 14771, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25910847901052436, std values: 0.9418737521167784, min values: -2.579723791499676, max values: 4.0, median values: 0.2263755871262502, and quantile values: 0.25 -0.389447\n0.50 0.226376\n0.75 0.881272\nName: 14772, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42280744573328155, std values: 0.762762602409224, min values: -1.971458270160132, max values: 4.0, median values: 0.467608101682436, and quantile values: 0.25 -0.049481\n0.50 0.467608\n0.75 0.916316\nName: 14773, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16475295336256984, std values: 0.7492653091011672, min values: -1.984326570665763, max values: 2.715682511788879, median values: -0.2336311162088579, and quantile values: 0.25 -0.721360\n0.50 -0.233631\n0.75 0.359346\nName: 14774, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.48329300701302225, std values: 0.9339741804557745, min values: -2.618746139350171, max values: 3.670892362631932, median values: 0.580860665800162, and quantile values: 0.25 -0.147086\n0.50 0.580861\n0.75 1.161285\nName: 14775, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.578682323373163, std values: 1.0761091807409917, min values: -2.710223074556336, max values: 4.0, median values: 0.6006434867909857, and quantile values: 0.25 -0.165772\n0.50 0.600643\n0.75 1.460450\nName: 14776, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24981359298486674, std values: 1.045005131253033, min values: -2.109453808537056, max values: 5.0, median values: 0.2394649599775759, and quantile values: 0.25 -0.565681\n0.50 0.239465\n0.75 1.099415\nName: 14777, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4615856729909404, std values: 0.914591466857562, min values: -2.662750916816848, max values: 5.0, median values: 0.5022207237526027, and quantile values: 0.25 -0.152560\n0.50 0.502221\n0.75 1.097046\nName: 14778, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17126463818362922, std values: 0.9439614186651767, min values: -1.9892594283500773, max values: 6.0, median values: 0.0904068112610158, and quantile values: 0.25 -0.501711\n0.50 0.090407\n0.75 0.767615\nName: 14779, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5065835833285234, std values: 0.987740427986702, min values: -2.5743883495350026, max values: 5.0, median values: 0.5157305306045656, and quantile values: 0.25 -0.040237\n0.50 0.515731\n0.75 1.174295\nName: 14780, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5942168396058168, std values: 0.9297964569933217, min values: -3.12109453895821, max values: 3.390469008396469, median values: -0.6908296513348923, and quantile values: 0.25 -1.374871\n0.50 -0.690830\n0.75 0.056351\nName: 14781, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.014027017475336924, std values: 0.9371223425264806, min values: -2.947062251106049, max values: 3.390469008396469, median values: 0.0724321377003072, and quantile values: 0.25 -0.570957\n0.50 0.072432\n0.75 0.572805\nName: 14782, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29742852933097835, std values: 0.9331676247593504, min values: -2.0632349629260616, max values: 3.026950214607353, median values: -0.3848755817723726, and quantile values: 0.25 -1.077353\n0.50 -0.384876\n0.75 0.361138\nName: 14783, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.013567882139425539, std values: 0.7821986481378079, min values: -2.1072720440588264, max values: 5.0, median values: 0.0028125097393468, and quantile values: 0.25 -0.502407\n0.50 0.002813\n0.75 0.488365\nName: 14784, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17474809881186207, std values: 0.872979216515483, min values: -2.876502173242568, max values: 3.036311757241655, median values: -0.2151144339525394, and quantile values: 0.25 -0.723358\n0.50 -0.215114\n0.75 0.397451\nName: 14785, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17911532371254069, std values: 0.9700019626672138, min values: -2.7542003929097176, max values: 5.0, median values: 0.2442835045790885, and quantile values: 0.25 -0.490880\n0.50 0.244284\n0.75 0.867314\nName: 14786, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14548270189024387, std values: 0.7843454106145396, min values: -2.5759052915632985, max values: 3.124705982383484, median values: 0.1702685477795614, and quantile values: 0.25 -0.387493\n0.50 0.170269\n0.75 0.680969\nName: 14787, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21699613457353178, std values: 1.0987496507238852, min values: -2.862971749830789, max values: 4.243835016543704, median values: 0.2115547613482535, and quantile values: 0.25 -0.473834\n0.50 0.211555\n0.75 1.024525\nName: 14788, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14184995479068133, std values: 0.9020243501203534, min values: -2.331895324791708, max values: 5.0, median values: -0.1360331741554475, and quantile values: 0.25 -0.833017\n0.50 -0.136033\n0.75 0.566983\nName: 14789, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18160512519292096, std values: 0.8397641956046535, min values: -2.0266920753422344, max values: 4.0, median values: 0.2389550877948821, and quantile values: 0.25 -0.432327\n0.50 0.238955\n0.75 0.751211\nName: 14790, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2559432311933194, std values: 0.8871887386016234, min values: -2.1453227721253567, max values: 3.169414082461771, median values: -0.3584809717801058, and quantile values: 0.25 -0.921100\n0.50 -0.358481\n0.75 0.321698\nName: 14791, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15221843567221316, std values: 1.079075871734001, min values: -2.6899145007874274, max values: 3.224152805256112, median values: 0.1651971912480379, and quantile values: 0.25 -0.599391\n0.50 0.165197\n0.75 0.950218\nName: 14792, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2507896384879074, std values: 0.8161488263539906, min values: -2.09925610156575, max values: 5.0, median values: -0.2967024375507594, and quantile values: 0.25 -0.846637\n0.50 -0.296702\n0.75 0.239550\nName: 14793, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.029056560524685505, std values: 0.7966092491349953, min values: -2.274798171373011, max values: 3.528773265847577, median values: -0.1083156494681973, and quantile values: 0.25 -0.611350\n0.50 -0.108316\n0.75 0.491365\nName: 14794, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08426056775479351, std values: 0.7810896521915648, min values: -1.9890885222563244, max values: 2.515466504291386, median values: 0.0744227955829983, and quantile values: 0.25 -0.431785\n0.50 0.074423\n0.75 0.581034\nName: 14795, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.005367454461151218, std values: 0.9175296170592436, min values: -2.536941606705235, max values: 4.0, median values: -0.0743516956269999, and quantile values: 0.25 -0.707180\n0.50 -0.074352\n0.75 0.624096\nName: 14796, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.564393130094873, std values: 0.9170435250618424, min values: -2.7939007019027, max values: 3.627976272701048, median values: -0.7242791437105001, and quantile values: 0.25 -1.237066\n0.50 -0.724279\n0.75 0.000496\nName: 14797, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0216797790000012, std values: 0.9409949857781006, min values: -3.062179113294277, max values: 3.236860296211547, median values: -0.0146514387215247, and quantile values: 0.25 -0.579991\n0.50 -0.014651\n0.75 0.632167\nName: 14798, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4746746942526952, std values: 0.8914529208882485, min values: -2.638186942019407, max values: 4.0, median values: -0.4660004420428372, and quantile values: 0.25 -1.093508\n0.50 -0.466000\n0.75 0.084025\nName: 14799, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2658054531680545, std values: 1.005045998846802, min values: -2.558791007225312, max values: 3.5021977227593246, median values: 0.3813345943204034, and quantile values: 0.25 -0.413408\n0.50 0.381335\n0.75 0.998584\nName: 14800, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3676962800836288, std values: 0.7726028183401744, min values: -2.119621483749997, max values: 3.0, median values: -0.4529724818891135, and quantile values: 0.25 -0.964645\n0.50 -0.452972\n0.75 0.136745\nName: 14801, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6489122553628636, std values: 1.3809010368633263, min values: -2.944950884974346, max values: 3.784832159836258, median values: -0.7360656056337749, and quantile values: 0.25 -1.877510\n0.50 -0.736066\n0.75 0.343174\nName: 14802, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46387684893910636, std values: 0.9146218197010568, min values: -3.2372475247926937, max values: 3.455472209455805, median values: -0.5478981916559578, and quantile values: 0.25 -1.092735\n0.50 -0.547898\n0.75 0.097838\nName: 14803, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10731029604448113, std values: 1.038942090242713, min values: -2.510124273981921, max values: 3.0, median values: 0.2439913111860395, and quantile values: 0.25 -0.433391\n0.50 0.243991\n0.75 0.769577\nName: 14804, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33216722866686965, std values: 1.0084098968714845, min values: -2.524162582959604, max values: 3.569037956734876, median values: 0.3373113245504243, and quantile values: 0.25 -0.448625\n0.50 0.337311\n0.75 1.208681\nName: 14805, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12429654524793875, std values: 1.080054334621545, min values: -2.643887016977268, max values: 6.0, median values: 0.2404379516658417, and quantile values: 0.25 -0.535672\n0.50 0.240438\n0.75 0.914986\nName: 14806, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06590622731906444, std values: 0.9419195643824944, min values: -2.556631690482005, max values: 4.026668017837955, median values: -0.1100988392529718, and quantile values: 0.25 -0.786236\n0.50 -0.110099\n0.75 0.585119\nName: 14807, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13239983583373052, std values: 0.9529849767410357, min values: -2.9622221028070275, max values: 4.0, median values: -0.152217234786577, and quantile values: 0.25 -0.744489\n0.50 -0.152217\n0.75 0.456588\nName: 14808, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.025869090149832758, std values: 0.7783420428948257, min values: -2.5213149333948146, max values: 3.0, median values: -0.0827204690904618, and quantile values: 0.25 -0.510092\n0.50 -0.082720\n0.75 0.547467\nName: 14809, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16135046146764914, std values: 0.9239308080649323, min values: -2.055430953058359, max values: 3.241738645014612, median values: 0.2399469964787769, and quantile values: 0.25 -0.530287\n0.50 0.239947\n0.75 0.880541\nName: 14810, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17336293064712266, std values: 0.9737463348313895, min values: -2.0889107352751046, max values: 3.569037956734876, median values: 0.1714980993435959, and quantile values: 0.25 -0.597843\n0.50 0.171498\n0.75 0.964041\nName: 14811, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07579473882478364, std values: 0.8080218999990112, min values: -2.0857325468431176, max values: 6.0, median values: -0.0514513734279996, and quantile values: 0.25 -0.627211\n0.50 -0.051451\n0.75 0.410479\nName: 14812, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41101507273705806, std values: 1.0404171147362518, min values: -2.8563982925340614, max values: 3.760287110694155, median values: -0.4079054704057998, and quantile values: 0.25 -1.296019\n0.50 -0.407905\n0.75 0.347093\nName: 14813, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3389358901465815, std values: 0.9245143197779194, min values: -2.58513369695146, max values: 4.0, median values: 0.4070323410632388, and quantile values: 0.25 -0.284499\n0.50 0.407032\n0.75 0.920763\nName: 14814, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.044904367179208336, std values: 0.8870369324305941, min values: -2.56026492390943, max values: 4.0, median values: -0.0088866906462495, and quantile values: 0.25 -0.605235\n0.50 -0.008887\n0.75 0.491712\nName: 14815, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3173892444062654, std values: 0.9062569911513944, min values: -2.024977263287256, max values: 6.0, median values: -0.4628939536362212, and quantile values: 0.25 -1.011591\n0.50 -0.462894\n0.75 0.255207\nName: 14816, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22367717712725108, std values: 0.978535631459423, min values: -2.5859127503381347, max values: 3.163266084685921, median values: 0.2656962686165732, and quantile values: 0.25 -0.466659\n0.50 0.265696\n0.75 0.925739\nName: 14817, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2645041445272199, std values: 0.8885385556121905, min values: -2.510124273981921, max values: 3.216771431244405, median values: -0.2382183935619895, and quantile values: 0.25 -0.881412\n0.50 -0.238218\n0.75 0.327174\nName: 14818, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04917952884148995, std values: 0.861771028330815, min values: -2.673549169958716, max values: 6.0, median values: 0.1503787170132434, and quantile values: 0.25 -0.435443\n0.50 0.150379\n0.75 0.588779\nName: 14819, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.782526466792354, std values: 0.9081350634323202, min values: -1.9426828178266249, max values: 3.630507857092792, median values: 0.8777667460174376, and quantile values: 0.25 0.151075\n0.50 0.877767\n0.75 1.467851\nName: 14820, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.253554992452335, std values: 1.1838445081653122, min values: -2.607565022042742, max values: 4.0, median values: 0.2907571090544693, and quantile values: 0.25 -0.552058\n0.50 0.290757\n0.75 1.251399\nName: 14821, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7039260962009007, std values: 0.8925589642334962, min values: -3.0133870328644434, max values: 3.3760121766849016, median values: -0.8866868760102903, and quantile values: 0.25 -1.371195\n0.50 -0.886687\n0.75 -0.185093\nName: 14822, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1327030290777494, std values: 1.0402149526369158, min values: -2.788272971802125, max values: 6.0, median values: -0.2627349097391649, and quantile values: 0.25 -0.831881\n0.50 -0.262735\n0.75 0.518060\nName: 14823, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26436228594888317, std values: 0.7934466002583275, min values: -2.841647375415054, max values: 5.0, median values: 0.225375022221471, and quantile values: 0.25 -0.255480\n0.50 0.225375\n0.75 0.780883\nName: 14824, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03311396717213451, std values: 0.8949896325072325, min values: -2.4125199145038643, max values: 4.0, median values: 0.031770117670027, and quantile values: 0.25 -0.599094\n0.50 0.031770\n0.75 0.647102\nName: 14825, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15077224971246367, std values: 0.754418354157987, min values: -2.5689076212724418, max values: 5.0, median values: 0.1446713808272149, and quantile values: 0.25 -0.342021\n0.50 0.144671\n0.75 0.604805\nName: 14826, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2755055363822976, std values: 0.8843263570082314, min values: -2.419133598913117, max values: 3.0, median values: 0.2894243155342599, and quantile values: 0.25 -0.397909\n0.50 0.289424\n0.75 0.984671\nName: 14827, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5449705539658624, std values: 1.0476565184493305, min values: -2.7211321814067784, max values: 3.236860296211547, median values: -0.5157934444931906, and quantile values: 0.25 -1.182845\n0.50 -0.515793\n0.75 0.171498\nName: 14828, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17450957480264223, std values: 0.7994792185031293, min values: -2.372995607737588, max values: 5.0, median values: 0.1845924979114494, and quantile values: 0.25 -0.366405\n0.50 0.184592\n0.75 0.673626\nName: 14829, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2742759771503625, std values: 0.8555946287930897, min values: -2.688157591415518, max values: 5.0, median values: -0.2822106815794621, and quantile values: 0.25 -0.927776\n0.50 -0.282211\n0.75 0.365934\nName: 14830, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10746646298469235, std values: 1.2027364656216595, min values: -3.1386665508340674, max values: 3.2936960268109283, median values: 0.1081369504335046, and quantile values: 0.25 -0.710826\n0.50 0.108137\n0.75 1.119047\nName: 14831, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2889432846530585, std values: 0.819337775106224, min values: -2.507084845405409, max values: 3.867701659180865, median values: 0.3734235651108373, and quantile values: 0.25 -0.292334\n0.50 0.373424\n0.75 0.874636\nName: 14832, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01575817090504532, std values: 0.9988360414103803, min values: -2.100754849305273, max values: 5.0, median values: -0.1456767420582479, and quantile values: 0.25 -0.782352\n0.50 -0.145677\n0.75 0.648373\nName: 14833, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22463390418583332, std values: 0.8513055476828736, min values: -2.476285024008804, max values: 3.2696814875916886, median values: 0.1671621665287731, and quantile values: 0.25 -0.371387\n0.50 0.167162\n0.75 0.798925\nName: 14834, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07168213232243152, std values: 0.9149023279149382, min values: -2.1775880058603043, max values: 3.415255285860171, median values: -0.1861994305390543, and quantile values: 0.25 -0.771244\n0.50 -0.186199\n0.75 0.610040\nName: 14835, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23300622283473402, std values: 0.8943062387805429, min values: -2.0748754825589795, max values: 4.0, median values: 0.2820631167231571, and quantile values: 0.25 -0.368758\n0.50 0.282063\n0.75 0.806787\nName: 14836, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3950395231158395, std values: 0.7862606240508218, min values: -2.007321445101768, max values: 5.0, median values: 0.4162931604220405, and quantile values: 0.25 -0.098530\n0.50 0.416293\n0.75 0.888334\nName: 14837, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.052762666732174855, std values: 0.7543147875069647, min values: -2.7884838087481176, max values: 6.0, median values: 0.027088454600615, and quantile values: 0.25 -0.386745\n0.50 0.027088\n0.75 0.493491\nName: 14838, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22783149723647494, std values: 0.8688843507193584, min values: -2.6603025395856053, max values: 5.0, median values: 0.2303494226145957, and quantile values: 0.25 -0.235301\n0.50 0.230349\n0.75 0.781261\nName: 14839, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11460712763032468, std values: 0.8599386236072823, min values: -2.142854198138545, max values: 5.0, median values: -0.0917121095482176, and quantile values: 0.25 -0.755479\n0.50 -0.091712\n0.75 0.448995\nName: 14840, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19919924082419946, std values: 0.8570974680034551, min values: -2.838932175687192, max values: 4.0, median values: 0.2615741866866942, and quantile values: 0.25 -0.358002\n0.50 0.261574\n0.75 0.755888\nName: 14841, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26262483158242994, std values: 0.8175420120960786, min values: -2.372995607737588, max values: 5.0, median values: -0.3671709051178997, and quantile values: 0.25 -0.880680\n0.50 -0.367171\n0.75 0.258697\nName: 14842, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10110094482875889, std values: 0.9443464176389998, min values: -2.9797100147087465, max values: 5.0, median values: -0.058457772713041, and quantile values: 0.25 -0.687512\n0.50 -0.058458\n0.75 0.476988\nName: 14843, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15340109762379966, std values: 0.8432328072943927, min values: -2.6404955031131814, max values: 6.0, median values: -0.1239249228223983, and quantile values: 0.25 -0.748893\n0.50 -0.123925\n0.75 0.354415\nName: 14844, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5865404986266348, std values: 0.8916583477528666, min values: -2.73836943861057, max values: 3.9905524164385566, median values: 0.6591839240324632, and quantile values: 0.25 0.025036\n0.50 0.659184\n0.75 1.173384\nName: 14845, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8577810763619376, std values: 0.86037596652497, min values: -2.1098479262714123, max values: 4.0, median values: 0.968529132402399, and quantile values: 0.25 0.363756\n0.50 0.968529\n0.75 1.442157\nName: 14846, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15871791906860408, std values: 0.7721337403160055, min values: -1.8339146358159144, max values: 5.0, median values: 0.16415252387203, and quantile values: 0.25 -0.336688\n0.50 0.164153\n0.75 0.621622\nName: 14847, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3858918853364228, std values: 0.9269380823478787, min values: -2.7648443048846945, max values: 3.3337116327022187, median values: -0.5534623984352924, and quantile values: 0.25 -1.116751\n0.50 -0.553462\n0.75 0.236802\nName: 14848, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.008375304453836333, std values: 0.7574839649564122, min values: -1.9161148978267493, max values: 5.0, median values: -0.0638795455317335, and quantile values: 0.25 -0.506650\n0.50 -0.063880\n0.75 0.501095\nName: 14849, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5096585810181252, std values: 1.1631410852095385, min values: -2.037986255847039, max values: 6.0, median values: 0.541605169931916, and quantile values: 0.25 -0.405313\n0.50 0.541605\n0.75 1.502658\nName: 14850, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11011271649421447, std values: 0.9404087082851738, min values: -2.2915911556076085, max values: 3.518664430018096, median values: -0.2003591102659831, and quantile values: 0.25 -0.800458\n0.50 -0.200359\n0.75 0.457016\nName: 14851, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08305741950629798, std values: 0.8327798733302699, min values: -2.560041333834972, max values: 2.9961239202177814, median values: -0.1711068503559559, and quantile values: 0.25 -0.688127\n0.50 -0.171107\n0.75 0.437869\nName: 14852, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20586821153771773, std values: 1.271466770011989, min values: -2.9029979285382743, max values: 3.036311757241655, median values: -0.1069606558448197, and quantile values: 0.25 -1.010856\n0.50 -0.106961\n0.75 0.578959\nName: 14853, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07830292957223499, std values: 0.8617532856787482, min values: -2.6635706018350787, max values: 3.9905524164385566, median values: -0.0213445882452876, and quantile values: 0.25 -0.515429\n0.50 -0.021345\n0.75 0.581132\nName: 14854, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.057723040043221784, std values: 1.0554536868234399, min values: -2.5293911731823453, max values: 3.5427287984042666, median values: 0.1580854254557213, and quantile values: 0.25 -0.654263\n0.50 0.158085\n0.75 0.656824\nName: 14855, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18842954093253392, std values: 0.7341496691827833, min values: -2.147228856409125, max values: 3.477886732511886, median values: 0.1937885364933776, and quantile values: 0.25 -0.288981\n0.50 0.193789\n0.75 0.672831\nName: 14856, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.049312198077899286, std values: 0.7947356125142434, min values: -2.162123508609361, max values: 5.0, median values: 0.1088017936182805, and quantile values: 0.25 -0.493766\n0.50 0.108802\n0.75 0.558234\nName: 14857, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16955056341704774, std values: 0.8484451767261884, min values: -3.215720519334632, max values: 3.3014869995452325, median values: -0.268904997764643, and quantile values: 0.25 -0.759636\n0.50 -0.268905\n0.75 0.409580\nName: 14858, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2616755053067843, std values: 0.8984990815979381, min values: -2.6652153608723106, max values: 3.2071942083719924, median values: 0.132631614384824, and quantile values: 0.25 -0.385350\n0.50 0.132632\n0.75 0.852808\nName: 14859, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0046390074515817075, std values: 0.8030436128960992, min values: -2.8467638118011016, max values: 5.0, median values: 0.0612042876142062, and quantile values: 0.25 -0.534507\n0.50 0.061204\n0.75 0.489099\nName: 14860, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39791424262301545, std values: 0.8005982540329927, min values: -2.7871422803648627, max values: 2.994755503775916, median values: -0.4210780512786064, and quantile values: 0.25 -0.917612\n0.50 -0.421078\n0.75 0.061370\nName: 14861, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09773048379372073, std values: 1.2352748899192163, min values: -2.92272757463548, max values: 6.0, median values: 0.1466322735861107, and quantile values: 0.25 -0.866327\n0.50 0.146632\n0.75 0.859613\nName: 14862, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5244986116263369, std values: 0.8592427176321162, min values: -2.137685238195388, max values: 3.477886732511886, median values: 0.6153717747845597, and quantile values: 0.25 -0.079065\n0.50 0.615372\n0.75 1.167408\nName: 14863, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0828297120441412, std values: 0.888046117501132, min values: -2.607565022042742, max values: 4.0, median values: -0.0068067898482488, and quantile values: 0.25 -0.691335\n0.50 -0.006807\n0.75 0.570401\nName: 14864, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10664244624652987, std values: 0.743639491852298, min values: -2.0648102585467867, max values: 3.0, median values: -0.1766847978332692, and quantile values: 0.25 -0.606227\n0.50 -0.176685\n0.75 0.332140\nName: 14865, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18047441859714144, std values: 0.9628297445902575, min values: -2.605844844843939, max values: 4.0, median values: 0.2581139117338617, and quantile values: 0.25 -0.539088\n0.50 0.258114\n0.75 0.898656\nName: 14866, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4915566177869529, std values: 0.8317857080796565, min values: -2.0655543577253828, max values: 5.0, median values: -0.5894714194518723, and quantile values: 0.25 -1.141293\n0.50 -0.589471\n0.75 0.050005\nName: 14867, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4192804646308308, std values: 0.9426628476674839, min values: -2.2915911556076085, max values: 3.2701555622463814, median values: 0.5031882784911968, and quantile values: 0.25 -0.289120\n0.50 0.503188\n0.75 1.177649\nName: 14868, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6181117656813828, std values: 0.8750991668648465, min values: -2.64479559868397, max values: 6.0, median values: -0.6443347555368855, and quantile values: 0.25 -1.260915\n0.50 -0.644335\n0.75 -0.073238\nName: 14869, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33065165640330496, std values: 0.8420365485041104, min values: -2.6201435104586555, max values: 6.0, median values: -0.4293965137353993, and quantile values: 0.25 -0.923881\n0.50 -0.429397\n0.75 0.192070\nName: 14870, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16558462457614262, std values: 0.8322335090012969, min values: -2.876502173242568, max values: 3.5908526919299577, median values: -0.2214802021692631, and quantile values: 0.25 -0.704694\n0.50 -0.221480\n0.75 0.362693\nName: 14871, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38659166312562726, std values: 1.0366382637760754, min values: -2.8282523283494294, max values: 4.0, median values: 0.4030900175472861, and quantile values: 0.25 -0.237666\n0.50 0.403090\n0.75 1.080791\nName: 14872, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15607810276779585, std values: 0.7214215663993631, min values: -2.4737574649270093, max values: 3.9048392686725855, median values: -0.2130757830734008, and quantile values: 0.25 -0.638733\n0.50 -0.213076\n0.75 0.272419\nName: 14873, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12061313926959613, std values: 0.7824283600108161, min values: -2.0258339246740453, max values: 5.0, median values: -0.2024387721057776, and quantile values: 0.25 -0.660724\n0.50 -0.202439\n0.75 0.330992\nName: 14874, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12166360756088722, std values: 1.2731917391636345, min values: -2.733804248449497, max values: 3.000356517591168, median values: 0.018979646521245, and quantile values: 0.25 -1.065239\n0.50 0.018980\n0.75 0.961940\nName: 14875, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39203372110786694, std values: 0.9924595382608391, min values: -2.684072796644972, max values: 6.0, median values: -0.4094727474741053, and quantile values: 0.25 -0.998741\n0.50 -0.409473\n0.75 0.253547\nName: 14876, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01308739162192328, std values: 0.7989227148726087, min values: -2.6412681606926487, max values: 3.0, median values: 0.0939092085029444, and quantile values: 0.25 -0.525886\n0.50 0.093909\n0.75 0.583449\nName: 14877, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10405400947234161, std values: 0.7832064591018327, min values: -2.446475285346346, max values: 3.397048482165858, median values: -0.1208052284641928, and quantile values: 0.25 -0.619485\n0.50 -0.120805\n0.75 0.350664\nName: 14878, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6634075923364633, std values: 0.838306057141498, min values: -2.388954056414457, max values: 4.0, median values: -0.8158195846494173, and quantile values: 0.25 -1.288882\n0.50 -0.815820\n0.75 -0.194799\nName: 14879, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38163955850964665, std values: 0.8222281365194609, min values: -2.8451834694312192, max values: 3.667275230673496, median values: 0.4311201428839514, and quantile values: 0.25 -0.166899\n0.50 0.431120\n0.75 0.891530\nName: 14880, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24163872258486507, std values: 0.7909058334289297, min values: -2.5689076212724418, max values: 5.0, median values: 0.228370292050229, and quantile values: 0.25 -0.268243\n0.50 0.228370\n0.75 0.749519\nName: 14881, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17543567824061312, std values: 1.1117508626455483, min values: -2.7542003929097176, max values: 5.0, median values: 0.3303522503613356, and quantile values: 0.25 -0.517556\n0.50 0.330352\n0.75 1.015697\nName: 14882, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44496540211573976, std values: 0.8686383623177968, min values: -2.9898739724800576, max values: 3.155379154255993, median values: -0.4966250192381038, and quantile values: 0.25 -1.004268\n0.50 -0.496625\n0.75 0.131743\nName: 14883, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7003468894970334, std values: 1.2283326811305035, min values: -2.622408470084112, max values: 3.709787027503053, median values: 0.781106910785229, and quantile values: 0.25 -0.081487\n0.50 0.781107\n0.75 1.638074\nName: 14884, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17605103690526913, std values: 0.8948418813184202, min values: -2.7871422803648627, max values: 3.155170554159904, median values: -0.2625432330859258, and quantile values: 0.25 -0.770340\n0.50 -0.262543\n0.75 0.414017\nName: 14885, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23748136281025042, std values: 0.7162903871381352, min values: -2.0632190848799, max values: 4.243835016543704, median values: 0.2826534130362976, and quantile values: 0.25 -0.194294\n0.50 0.282653\n0.75 0.671795\nName: 14886, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.018905012364246056, std values: 0.7848921676677334, min values: -1.948531902617236, max values: 6.0, median values: -0.0739001074418109, and quantile values: 0.25 -0.499836\n0.50 -0.073900\n0.75 0.508196\nName: 14887, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2087493604952323, std values: 0.7667342869239553, min values: -2.0531592997310795, max values: 4.0, median values: 0.1767545832332175, and quantile values: 0.25 -0.276509\n0.50 0.176755\n0.75 0.648997\nName: 14888, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38865677445830576, std values: 0.9467102007760847, min values: -2.810662060852592, max values: 3.667275230673496, median values: -0.5389283744231107, and quantile values: 0.25 -1.111435\n0.50 -0.538928\n0.75 0.244430\nName: 14889, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05394930668477144, std values: 0.9186749534367391, min values: -2.6404955031131814, max values: 6.0, median values: 0.1259389277719496, and quantile values: 0.25 -0.617916\n0.50 0.125939\n0.75 0.712196\nName: 14890, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.023041685428411746, std values: 0.8879887073270999, min values: -2.687115288423959, max values: 5.0, median values: 0.0414431466111039, and quantile values: 0.25 -0.653274\n0.50 0.041443\n0.75 0.668073\nName: 14891, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.074447331601937, std values: 0.8541062517423935, min values: -2.222049826555007, max values: 3.169414082461771, median values: -0.0407970369014643, and quantile values: 0.25 -0.691335\n0.50 -0.040797\n0.75 0.542913\nName: 14892, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39205199543769687, std values: 0.8227270517904935, min values: -2.142034234211891, max values: 4.0, median values: -0.5195720278139926, and quantile values: 0.25 -0.989153\n0.50 -0.519572\n0.75 0.163688\nName: 14893, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10301214775718645, std values: 1.103038317138103, min values: -2.8164291268114208, max values: 3.455472209455805, median values: -0.1083631967010993, and quantile values: 0.25 -0.923417\n0.50 -0.108363\n0.75 0.811739\nName: 14894, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38361588358887905, std values: 0.9233143334816917, min values: -2.58513369695146, max values: 4.0, median values: -0.4850480290507941, and quantile values: 0.25 -1.148031\n0.50 -0.485048\n0.75 0.267411\nName: 14895, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6655748520482014, std values: 0.8484731641517064, min values: -2.1453227721253567, max values: 5.0, median values: 0.7204441429958908, and quantile values: 0.25 0.096842\n0.50 0.720444\n0.75 1.264219\nName: 14896, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1369854349666538, std values: 1.1456807462225598, min values: -2.981718296512785, max values: 5.0, median values: 0.2237818189030654, and quantile values: 0.25 -0.577116\n0.50 0.223782\n0.75 1.016380\nName: 14897, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20846832210078353, std values: 0.844592337811462, min values: -2.0531592997310795, max values: 3.0, median values: 0.2405839200312726, and quantile values: 0.25 -0.426682\n0.50 0.240584\n0.75 0.857134\nName: 14898, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15692678764458223, std values: 0.7766581590674756, min values: -2.475272102106495, max values: 4.0, median values: -0.1723892866794859, and quantile values: 0.25 -0.707180\n0.50 -0.172389\n0.75 0.374487\nName: 14899, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.020635363109174083, std values: 0.9997510341284702, min values: -2.0490968263769656, max values: 4.243835016543704, median values: 0.0441636064368799, and quantile values: 0.25 -0.809521\n0.50 0.044164\n0.75 0.741730\nName: 14900, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6345293531519494, std values: 0.9566119952209309, min values: -2.7314147016889114, max values: 3.1888787873512885, median values: 0.6587434398790447, and quantile values: 0.25 -0.025614\n0.50 0.658743\n0.75 1.399112\nName: 14901, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2405076847012667, std values: 0.92677496673246, min values: -2.4737574649270093, max values: 3.9048392686725855, median values: -0.2535472316211566, and quantile values: 0.25 -0.963603\n0.50 -0.253547\n0.75 0.419646\nName: 14902, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3634070359671027, std values: 0.8335410542129353, min values: -2.62876542141649, max values: 3.20751086257212, median values: 0.4197844362342177, and quantile values: 0.25 -0.217585\n0.50 0.419784\n0.75 0.978340\nName: 14903, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09404253418233914, std values: 0.8541198879408759, min values: -1.997911883973804, max values: 3.2696814875916886, median values: -0.2232971698953381, and quantile values: 0.25 -0.687588\n0.50 -0.223297\n0.75 0.392092\nName: 14904, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.027117382565038234, std values: 0.7998925348548183, min values: -2.525362520654854, max values: 5.0, median values: 0.0290036028149632, and quantile values: 0.25 -0.505628\n0.50 0.029004\n0.75 0.515645\nName: 14905, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25265434700345246, std values: 1.052311293976279, min values: -2.7542003929097176, max values: 5.0, median values: 0.3694402458806134, and quantile values: 0.25 -0.405152\n0.50 0.369440\n0.75 1.016251\nName: 14906, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07351595030083183, std values: 0.8594408036021295, min values: -2.5445249319512966, max values: 3.1166497049712243, median values: 0.1216097566767754, and quantile values: 0.25 -0.533218\n0.50 0.121610\n0.75 0.635514\nName: 14907, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0756216595610398, std values: 1.3486010652160514, min values: -2.933035609461076, max values: 5.0, median values: 0.3529417923326332, and quantile values: 0.25 -0.742931\n0.50 0.352942\n0.75 1.089935\nName: 14908, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14231613040228805, std values: 0.8209072139635779, min values: -1.935772377445518, max values: 4.243835016543704, median values: 0.1060319275629369, and quantile values: 0.25 -0.406468\n0.50 0.106032\n0.75 0.652327\nName: 14909, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22884525800715547, std values: 0.8610833175024043, min values: -2.126457643282694, max values: 5.0, median values: 0.1685923009220466, and quantile values: 0.25 -0.400647\n0.50 0.168592\n0.75 0.841268\nName: 14910, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16007727290165458, std values: 0.7579313089949248, min values: -2.4536054974529624, max values: 6.0, median values: -0.1624779815582337, and quantile values: 0.25 -0.684926\n0.50 -0.162478\n0.75 0.307807\nName: 14911, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22478625300328617, std values: 0.9172916536856083, min values: -2.12073996675014, max values: 3.1175233493066874, median values: -0.3044017989659413, and quantile values: 0.25 -0.914553\n0.50 -0.304402\n0.75 0.386685\nName: 14912, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.024263962518572855, std values: 0.7931666013150629, min values: -2.4737574649270093, max values: 3.0, median values: -0.1199453019932507, and quantile values: 0.25 -0.580050\n0.50 -0.119945\n0.75 0.471032\nName: 14913, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09602614045146811, std values: 0.9378305403729604, min values: -2.419133598913117, max values: 3.9905524164385566, median values: 0.0728112882605227, and quantile values: 0.25 -0.612095\n0.50 0.072811\n0.75 0.821657\nName: 14914, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26910348677222995, std values: 0.9550454200764157, min values: -2.226424194672579, max values: 4.0, median values: 0.2434630949492121, and quantile values: 0.25 -0.420601\n0.50 0.243463\n0.75 0.882772\nName: 14915, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11264828023217198, std values: 0.7731374762294757, min values: -2.841647375415054, max values: 5.0, median values: 0.1690392535732343, and quantile values: 0.25 -0.398395\n0.50 0.169039\n0.75 0.606062\nName: 14916, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.279193443210407, std values: 0.998800721980617, min values: -2.869671295224012, max values: 6.0, median values: -0.3067390963104662, and quantile values: 0.25 -0.849773\n0.50 -0.306739\n0.75 0.322440\nName: 14917, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.310300059834598, std values: 0.7853218946684312, min values: -2.226424194672579, max values: 4.0, median values: -0.3844604248305888, and quantile values: 0.25 -0.859491\n0.50 -0.384460\n0.75 0.134244\nName: 14918, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21927570193682974, std values: 1.0711760163768385, min values: -2.5422910691068967, max values: 3.0876051304901218, median values: 0.2051113235103921, and quantile values: 0.25 -0.634536\n0.50 0.205111\n0.75 1.061994\nName: 14919, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7017589127021647, std values: 0.9430778943104999, min values: -3.124705982383478, max values: 3.0418703198091483, median values: -0.6969959673573904, and quantile values: 0.25 -1.360000\n0.50 -0.696996\n0.75 -0.084713\nName: 14920, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10209939235299303, std values: 1.1954149727007817, min values: -2.9622221028070275, max values: 4.0, median values: 0.0214547707235194, and quantile values: 0.25 -0.605599\n0.50 0.021455\n0.75 0.799472\nName: 14921, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02278033280944917, std values: 0.8131065464152935, min values: -1.9934734841108936, max values: 3.281452258958016, median values: -0.0538181005638839, and quantile values: 0.25 -0.528592\n0.50 -0.053818\n0.75 0.498256\nName: 14922, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5312990024138314, std values: 0.9351974130803827, min values: -3.2960357033722465, max values: 3.247416277295021, median values: -0.6706225747602468, and quantile values: 0.25 -1.216678\n0.50 -0.670623\n0.75 0.069317\nName: 14923, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46915521865942533, std values: 0.8651014294631187, min values: -2.2161166709808824, max values: 6.0, median values: -0.6009735345783008, and quantile values: 0.25 -1.113788\n0.50 -0.600974\n0.75 0.031912\nName: 14924, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3682519834952145, std values: 0.9719602615351031, min values: -2.264034258932616, max values: 3.3636961113187773, median values: 0.3710860246414105, and quantile values: 0.25 -0.427402\n0.50 0.371086\n0.75 1.116927\nName: 14925, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36101451698614795, std values: 1.0702122170227903, min values: -2.5624611946462936, max values: 5.0, median values: 0.3230124996662423, and quantile values: 0.25 -0.261218\n0.50 0.323012\n0.75 0.980766\nName: 14926, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13738935589521103, std values: 0.909811491309678, min values: -2.623568901859613, max values: 4.0, median values: -0.1787689908789414, and quantile values: 0.25 -0.782962\n0.50 -0.178769\n0.75 0.476670\nName: 14927, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38098424032580835, std values: 0.8511948257378442, min values: -2.673549169958716, max values: 6.0, median values: -0.4093707067951274, and quantile values: 0.25 -0.913980\n0.50 -0.409371\n0.75 0.095676\nName: 14928, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6494660765851752, std values: 0.897204308889061, min values: -2.3184884946917497, max values: 6.0, median values: 0.7761844619218509, and quantile values: 0.25 0.069541\n0.50 0.776184\n0.75 1.295746\nName: 14929, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10713882064345549, std values: 0.9557863301918123, min values: -2.240740315114864, max values: 4.0, median values: 0.0697783722374483, and quantile values: 0.25 -0.640153\n0.50 0.069778\n0.75 0.807900\nName: 14930, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5959529102615696, std values: 0.8659921619398462, min values: -1.9372590169137696, max values: 6.0, median values: 0.6140894348648569, and quantile values: 0.25 0.051735\n0.50 0.614089\n0.75 1.160253\nName: 14931, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2358140106822611, std values: 0.9932432963079432, min values: -3.1175233493066874, max values: 3.312693232344632, median values: -0.3080383184520902, and quantile values: 0.25 -0.921398\n0.50 -0.308038\n0.75 0.454230\nName: 14932, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3431522821043143, std values: 1.0448468400276123, min values: -2.93129584560762, max values: 6.0, median values: -0.3100025752217147, and quantile values: 0.25 -1.032869\n0.50 -0.310003\n0.75 0.451506\nName: 14933, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3684821999601141, std values: 0.9503027469608234, min values: -2.580492024304656, max values: 4.278004674434932, median values: 0.3483675584776504, and quantile values: 0.25 -0.383140\n0.50 0.348368\n0.75 1.067904\nName: 14934, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3554823629447464, std values: 0.8651843981056571, min values: -2.3497290779744566, max values: 5.0, median values: -0.4273455447996064, and quantile values: 0.25 -0.983554\n0.50 -0.427346\n0.75 0.144950\nName: 14935, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1642022639760873, std values: 1.00517877880606, min values: -3.1175233493066874, max values: 3.3636961113187773, median values: 0.2528068285430167, and quantile values: 0.25 -0.470853\n0.50 0.252807\n0.75 0.859374\nName: 14936, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24498586812749745, std values: 0.8392071074017244, min values: -2.0563425919957576, max values: 5.0, median values: 0.3164209184779608, and quantile values: 0.25 -0.322191\n0.50 0.316421\n0.75 0.847381\nName: 14937, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02666667564183432, std values: 0.9128049036917304, min values: -2.710223074556336, max values: 4.0, median values: 0.0204906827228634, and quantile values: 0.25 -0.588975\n0.50 0.020491\n0.75 0.527831\nName: 14938, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.265564881406651, std values: 0.7432876801146842, min values: -2.525881048269423, max values: 3.216771431244405, median values: 0.2995017458094871, and quantile values: 0.25 -0.206487\n0.50 0.299502\n0.75 0.713310\nName: 14939, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31441918948262615, std values: 0.8033521309903259, min values: -2.710223074556336, max values: 4.0, median values: 0.3580021563525246, and quantile values: 0.25 -0.176973\n0.50 0.358002\n0.75 0.837372\nName: 14940, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17088284421419697, std values: 0.8015272388110081, min values: -2.090799501270592, max values: 3.0362913622068968, median values: -0.2702474417949753, and quantile values: 0.25 -0.737306\n0.50 -0.270247\n0.75 0.338186\nName: 14941, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.004283150728614584, std values: 0.7518185736669586, min values: -2.475778245535816, max values: 4.0, median values: -0.0560167052001739, and quantile values: 0.25 -0.470563\n0.50 -0.056017\n0.75 0.430330\nName: 14942, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12451831927139793, std values: 0.8021498542835716, min values: -2.745904427753044, max values: 5.0, median values: -0.1159739845468927, and quantile values: 0.25 -0.678332\n0.50 -0.115974\n0.75 0.396408\nName: 14943, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13832763574107912, std values: 0.8532264564052219, min values: -2.0003202979060606, max values: 4.026668017837955, median values: 0.1344377010232725, and quantile values: 0.25 -0.452292\n0.50 0.134438\n0.75 0.733560\nName: 14944, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1452268049199185, std values: 0.9633709351248432, min values: -2.673549169958716, max values: 6.0, median values: 0.2587248365027491, and quantile values: 0.25 -0.441752\n0.50 0.258725\n0.75 0.763739\nName: 14945, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09345101969004038, std values: 1.0306713857980545, min values: -2.207388112027905, max values: 3.1395741599540568, median values: 0.1068351040326253, and quantile values: 0.25 -0.705589\n0.50 0.106835\n0.75 0.919880\nName: 14946, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08876200582907959, std values: 0.8330850902439076, min values: -1.909954330997398, max values: 5.0, median values: -0.0129520705696749, and quantile values: 0.25 -0.501336\n0.50 -0.012952\n0.75 0.620787\nName: 14947, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15093344412649398, std values: 1.4104972534031943, min values: -2.825926939679757, max values: 3.5908526919299577, median values: 0.2750117032449102, and quantile values: 0.25 -0.658670\n0.50 0.275012\n0.75 1.263536\nName: 14948, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19225732987301788, std values: 0.7743523592464959, min values: -2.160699967901768, max values: 3.709787027503053, median values: -0.2981770892407677, and quantile values: 0.25 -0.712600\n0.50 -0.298177\n0.75 0.280975\nName: 14949, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0033089012577482103, std values: 1.2148088170360987, min values: -2.4902145713898545, max values: 3.438667023696733, median values: 0.0246060018958838, and quantile values: 0.25 -0.926142\n0.50 0.024606\n0.75 0.836960\nName: 14950, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3093436613905356, std values: 0.8147125963196123, min values: -2.087919489660226, max values: 3.1106274661862763, median values: -0.4377568671656464, and quantile values: 0.25 -0.894076\n0.50 -0.437757\n0.75 0.206487\nName: 14951, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34299269957594775, std values: 1.0773234878330868, min values: -2.732564679617164, max values: 3.867701659180865, median values: 0.2813183056436169, and quantile values: 0.25 -0.499847\n0.50 0.281318\n0.75 1.195982\nName: 14952, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.018680309381930493, std values: 0.8752422136386149, min values: -2.8547740449753216, max values: 5.0, median values: 0.026852023581814, and quantile values: 0.25 -0.565291\n0.50 0.026852\n0.75 0.561227\nName: 14953, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07992774923879667, std values: 1.1416428948277786, min values: -2.069213147559466, max values: 6.0, median values: -0.2594374511753873, and quantile values: 0.25 -0.949202\n0.50 -0.259437\n0.75 0.534526\nName: 14954, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03635314381578914, std values: 0.9130806061287257, min values: -2.572123985342288, max values: 5.0, median values: 0.0195469798879446, and quantile values: 0.25 -0.688175\n0.50 0.019547\n0.75 0.651911\nName: 14955, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.019910851559352516, std values: 0.8469519143656856, min values: -2.406113529328762, max values: 3.9905524164385566, median values: -0.0464111884887551, and quantile values: 0.25 -0.626751\n0.50 -0.046411\n0.75 0.583128\nName: 14956, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3335782299443026, std values: 0.772702978477616, min values: -2.090799501270592, max values: 3.155170554159904, median values: -0.4224928091707, and quantile values: 0.25 -0.859095\n0.50 -0.422493\n0.75 0.081724\nName: 14957, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.195275519569748, std values: 0.9580145404728383, min values: -2.673124659932621, max values: 6.0, median values: 0.3310658199296041, and quantile values: 0.25 -0.396221\n0.50 0.331066\n0.75 0.827280\nName: 14958, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13755063029354264, std values: 0.7736369696351305, min values: -2.537573835824454, max values: 6.0, median values: 0.0964266610764661, and quantile values: 0.25 -0.376614\n0.50 0.096427\n0.75 0.603582\nName: 14959, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.475208801498004, std values: 0.9029838853997502, min values: -2.087919489660226, max values: 3.784832159836258, median values: 0.5219058539786506, and quantile values: 0.25 -0.166693\n0.50 0.521906\n0.75 1.142724\nName: 14960, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13855073128958548, std values: 0.9939223214056937, min values: -2.4902145713898545, max values: 3.627976272701048, median values: -0.2358182513963101, and quantile values: 0.25 -0.821271\n0.50 -0.235818\n0.75 0.490325\nName: 14961, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25500162868449927, std values: 0.8341494288010823, min values: -2.155357008453328, max values: 4.0, median values: -0.3722131926129983, and quantile values: 0.25 -0.874008\n0.50 -0.372213\n0.75 0.275748\nName: 14962, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37948860325219064, std values: 0.9021701568951609, min values: -2.842043939794492, max values: 3.528773265847577, median values: -0.3803181137234565, and quantile values: 0.25 -1.100670\n0.50 -0.380318\n0.75 0.244399\nName: 14963, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3212618954847769, std values: 1.725320502426643, min values: -3.21990804472754, max values: 5.0, median values: 0.6240964097840251, and quantile values: 0.25 -1.255931\n0.50 0.624096\n0.75 1.658645\nName: 14964, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31210437567125604, std values: 0.8235233988073254, min values: -2.6603025395856053, max values: 5.0, median values: -0.3333202555096422, and quantile values: 0.25 -0.871550\n0.50 -0.333320\n0.75 0.195108\nName: 14965, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05856761387005961, std values: 0.8913478820862455, min values: -2.232910862523392, max values: 5.0, median values: -0.1487110182222743, and quantile values: 0.25 -0.699130\n0.50 -0.148711\n0.75 0.524243\nName: 14966, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01162858091008135, std values: 0.8230227499911705, min values: -2.1420440959174463, max values: 6.0, median values: -0.0234002948104344, and quantile values: 0.25 -0.53473\n0.50 -0.02340\n0.75 0.47302\nName: 14967, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5263920395853325, std values: 0.8047970983077873, min values: -2.8998169811239416, max values: 2.9491070686884737, median values: -0.6771889292394675, and quantile values: 0.25 -1.105581\n0.50 -0.677189\n0.75 -0.056872\nName: 14968, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31886070343520423, std values: 0.87418448259496, min values: -2.7428415536925543, max values: 3.760287110694155, median values: 0.3504778318313408, and quantile values: 0.25 -0.269199\n0.50 0.350478\n0.75 0.905844\nName: 14969, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45366070805178643, std values: 1.0304982300319836, min values: -2.1296382068987767, max values: 5.0, median values: 0.4607177777495471, and quantile values: 0.25 -0.319951\n0.50 0.460718\n0.75 1.301733\nName: 14970, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5100261003865397, std values: 0.9901904516224446, min values: -2.174309863242296, max values: 3.258347009006034, median values: 0.3796576120619726, and quantile values: 0.25 -0.169248\n0.50 0.379658\n0.75 1.132415\nName: 14971, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4809321174860794, std values: 0.8046204370888004, min values: -3.0223671288921072, max values: 3.4566816047670264, median values: 0.4438255437294283, and quantile values: 0.25 -0.026358\n0.50 0.443826\n0.75 1.001854\nName: 14972, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5612635126849184, std values: 0.9527241565327573, min values: -3.3364384128287203, max values: 3.176672644814091, median values: -0.5436000836931179, and quantile values: 0.25 -1.087853\n0.50 -0.543600\n0.75 0.043690\nName: 14973, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0028194941759964363, std values: 0.9477731916152277, min values: -2.1029383687967336, max values: 6.0, median values: -0.0430753844117254, and quantile values: 0.25 -0.723296\n0.50 -0.043075\n0.75 0.646723\nName: 14974, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6751908069775538, std values: 1.14724947486195, min values: -2.2065783767301927, max values: 6.0, median values: 0.5517828545689846, and quantile values: 0.25 -0.198309\n0.50 0.551783\n0.75 1.588787\nName: 14975, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.031391594068342465, std values: 0.993548071390984, min values: -2.133108304874087, max values: 3.197902420311553, median values: -0.0085085242689783, and quantile values: 0.25 -0.738832\n0.50 -0.008509\n0.75 0.702413\nName: 14976, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.507518712737984, std values: 0.8679151135874311, min values: -2.1124050188802093, max values: 3.518664430018096, median values: 0.53553538487785, and quantile values: 0.25 -0.026001\n0.50 0.535535\n0.75 1.049528\nName: 14977, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08485437271653667, std values: 0.9899809619443696, min values: -2.643887016977268, max values: 6.0, median values: -0.1392780668120974, and quantile values: 0.25 -0.789239\n0.50 -0.139278\n0.75 0.583268\nName: 14978, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2958814022800373, std values: 0.8383562944158386, min values: -2.3922473154067863, max values: 5.0, median values: -0.3980769015207029, and quantile values: 0.25 -0.895556\n0.50 -0.398077\n0.75 0.227564\nName: 14979, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0952443278243664, std values: 0.8352348187630065, min values: -2.0864604194430334, max values: 2.879825373135674, median values: -0.2095274928159861, and quantile values: 0.25 -0.699221\n0.50 -0.209527\n0.75 0.445733\nName: 14980, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45297630340803907, std values: 0.8924515702750463, min values: -2.087432639025188, max values: 4.0, median values: 0.4162981775645445, and quantile values: 0.25 -0.235698\n0.50 0.416298\n0.75 1.085891\nName: 14981, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2078943523822327, std values: 0.900514757349419, min values: -2.57895707818966, max values: 6.0, median values: 0.2703616977546013, and quantile values: 0.25 -0.340317\n0.50 0.270362\n0.75 0.758294\nName: 14982, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36581317714531, std values: 0.9054223460423148, min values: -3.0223671288921072, max values: 2.8135338970030133, median values: -0.3932820364677231, and quantile values: 0.25 -1.114966\n0.50 -0.393282\n0.75 0.330498\nName: 14983, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27678046710895765, std values: 0.9136089860033839, min values: -2.1719217067124954, max values: 3.169414082461771, median values: 0.3086736828757153, and quantile values: 0.25 -0.380016\n0.50 0.308674\n0.75 0.975234\nName: 14984, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0754587172528931, std values: 0.8639542428504026, min values: -2.87684958111886, max values: 2.9600143651848034, median values: -0.1032905613376562, and quantile values: 0.25 -0.638240\n0.50 -0.103291\n0.75 0.428341\nName: 14985, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1440078657181382, std values: 1.1779220033178566, min values: -2.8246479422601736, max values: 5.0, median values: -0.1671621665287732, and quantile values: 0.25 -1.011132\n0.50 -0.167162\n0.75 0.700519\nName: 14986, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5525478382718401, std values: 1.0037606427617372, min values: -2.657750824678472, max values: 5.0, median values: 0.7195041162170847, and quantile values: 0.25 -0.028176\n0.50 0.719504\n0.75 1.273257\nName: 14987, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2616812623507477, std values: 0.7802253864747369, min values: -2.2276120832807416, max values: 6.0, median values: -0.3000202326477138, and quantile values: 0.25 -0.791694\n0.50 -0.300020\n0.75 0.180140\nName: 14988, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.553928699092009, std values: 1.0777125176076325, min values: -3.0687217584296813, max values: 2.921039391187937, median values: -0.6457914089878521, and quantile values: 0.25 -1.449026\n0.50 -0.645791\n0.75 0.199881\nName: 14989, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21113411069207882, std values: 1.0363570317206978, min values: -2.1149759989911825, max values: 3.667275230673496, median values: -0.2597792490155476, and quantile values: 0.25 -1.081940\n0.50 -0.259779\n0.75 0.496304\nName: 14990, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2729151977202417, std values: 0.8055823693925652, min values: -2.5501488616953263, max values: 3.0, median values: -0.3496234860729809, and quantile values: 0.25 -0.819055\n0.50 -0.349623\n0.75 0.200576\nName: 14991, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0017492543341979202, std values: 0.798235924276761, min values: -2.0773212586940626, max values: 4.0, median values: -0.0711941424418148, and quantile values: 0.25 -0.530572\n0.50 -0.071194\n0.75 0.523083\nName: 14992, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6722579186418752, std values: 1.0015448687845319, min values: -2.2423374092797945, max values: 3.434669824302974, median values: 0.7138077321444629, and quantile values: 0.25 -0.074849\n0.50 0.713808\n0.75 1.442826\nName: 14993, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1626324627607914, std values: 0.7599789388267767, min values: -2.2915911556076085, max values: 3.0, median values: 0.1217484763790119, and quantile values: 0.25 -0.340257\n0.50 0.121748\n0.75 0.636458\nName: 14994, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.3078943958408644, std values: 1.1225780089403548, min values: -2.727901130262228, max values: 4.0, median values: -1.7630327387334757, and quantile values: 0.25 -2.140406\n0.50 -1.763033\n0.75 -0.507757\nName: 14995, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3304987074238019, std values: 1.053895874593778, min values: -2.642042398333877, max values: 3.306454397423372, median values: -0.2172676407295641, and quantile values: 0.25 -0.981837\n0.50 -0.217268\n0.75 0.367518\nName: 14996, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07521627020634107, std values: 0.8563628488086223, min values: -2.137685238195388, max values: 5.0, median values: -0.0547479524452873, and quantile values: 0.25 -0.690830\n0.50 -0.054748\n0.75 0.501314\nName: 14997, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09893856489339964, std values: 0.8799985330155132, min values: -2.181399789301597, max values: 3.434669824302974, median values: 0.0423405715970082, and quantile values: 0.25 -0.543711\n0.50 0.042341\n0.75 0.689851\nName: 14998, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4663677568234683, std values: 0.8007172806216374, min values: -1.9875529756599963, max values: 3.0, median values: 0.54224307387468, and quantile values: 0.25 -0.057605\n0.50 0.542243\n0.75 1.062451\nName: 14999, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.038956063421926417, std values: 0.8799059992867314, min values: -2.6404955031131814, max values: 6.0, median values: 0.043277766645411, and quantile values: 0.25 -0.521322\n0.50 0.043278\n0.75 0.599127\nName: 15000, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3034951613200052, std values: 0.9328155746902734, min values: -2.9666813816765707, max values: 4.0, median values: -0.209189698656375, and quantile values: 0.25 -0.799245\n0.50 -0.209190\n0.75 0.297832\nName: 15001, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34238460592480896, std values: 0.8663577171702431, min values: -2.196181211030292, max values: 5.0, median values: 0.3602272290674499, and quantile values: 0.25 -0.270590\n0.50 0.360227\n0.75 1.001718\nName: 15002, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02917089978195431, std values: 1.0020333466707856, min values: -2.580492024304656, max values: 3.349054967837474, median values: 0.0340727218959582, and quantile values: 0.25 -0.692506\n0.50 0.034073\n0.75 0.701145\nName: 15003, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3260314138876145, std values: 1.0847825950495096, min values: -2.5122218748354936, max values: 3.1395741599540568, median values: 0.4449472962600519, and quantile values: 0.25 -0.428904\n0.50 0.444947\n0.75 1.210398\nName: 15004, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4715374026237634, std values: 0.8691534247090741, min values: -2.8998169811239416, max values: 3.721862465295849, median values: -0.5622712179438601, and quantile values: 0.25 -1.189243\n0.50 -0.562271\n0.75 0.138514\nName: 15005, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3580446817115243, std values: 0.943693962124208, min values: -2.6466193392086392, max values: 4.0, median values: -0.5100651124067217, and quantile values: 0.25 -1.016011\n0.50 -0.510065\n0.75 0.179831\nName: 15006, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08957169733474139, std values: 0.9507433069617214, min values: -2.374446373878101, max values: 4.0, median values: -0.1964831283538298, and quantile values: 0.25 -0.726862\n0.50 -0.196483\n0.75 0.382060\nName: 15007, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0100337205742516, std values: 1.3893718343060946, min values: -3.447534482420193, max values: 3.2071942083719924, median values: -1.652850595301726, and quantile values: 0.25 -2.095873\n0.50 -1.652851\n0.75 0.135077\nName: 15008, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04904403803023721, std values: 0.8733969031663734, min values: -2.564449278715455, max values: 3.090297571450676, median values: -0.1278267364908313, and quantile values: 0.25 -0.662301\n0.50 -0.127827\n0.75 0.511708\nName: 15009, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.026734296968119263, std values: 0.8992003467759956, min values: -2.862971749830789, max values: 3.8226908388056136, median values: 0.076413748426292, and quantile values: 0.25 -0.651060\n0.50 0.076414\n0.75 0.673348\nName: 15010, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03964172044406485, std values: 0.9384103946725098, min values: -2.521882829270847, max values: 4.0, median values: -0.0443803977858563, and quantile values: 0.25 -0.789691\n0.50 -0.044380\n0.75 0.639950\nName: 15011, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25549324551946584, std values: 0.8152969542554183, min values: -2.103766579362726, max values: 6.0, median values: 0.2902687617776568, and quantile values: 0.25 -0.277246\n0.50 0.290269\n0.75 0.779979\nName: 15012, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16391736193345002, std values: 0.83447794916249, min values: -2.104667097879677, max values: 4.0, median values: 0.1027780438725113, and quantile values: 0.25 -0.447558\n0.50 0.102778\n0.75 0.749144\nName: 15013, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32169527479186594, std values: 1.1756049783062632, min values: -2.928515832252388, max values: 5.0, median values: -0.1457011315446115, and quantile values: 0.25 -1.111037\n0.50 -0.145701\n0.75 0.596032\nName: 15014, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05253380569321563, std values: 0.8363970507337268, min values: -2.9278427058120164, max values: 6.0, median values: -0.0565131981035713, and quantile values: 0.25 -0.663330\n0.50 -0.056513\n0.75 0.549691\nName: 15015, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16795428044287786, std values: 0.9412549824037645, min values: -2.1227739687253626, max values: 3.0315977762793005, median values: -0.3015185372230261, and quantile values: 0.25 -0.874220\n0.50 -0.301519\n0.75 0.468295\nName: 15016, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07128293429081153, std values: 0.7531628381906986, min values: -2.475778245535816, max values: 3.5021977227593246, median values: -0.0846178594879371, and quantile values: 0.25 -0.542778\n0.50 -0.084618\n0.75 0.368555\nName: 15017, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2716216707867494, std values: 0.8327384044310888, min values: -2.62876542141649, max values: 3.4217036547572275, median values: 0.3453806554853099, and quantile values: 0.25 -0.306745\n0.50 0.345381\n0.75 0.899081\nName: 15018, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17836020928382543, std values: 0.7620451613488204, min values: -1.9991292149628368, max values: 2.7858057493199664, median values: -0.190698264904164, and quantile values: 0.25 -0.722744\n0.50 -0.190698\n0.75 0.312980\nName: 15019, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10486414490991557, std values: 0.7890928861147922, min values: -2.196708653609315, max values: 6.0, median values: -0.0784849262179792, and quantile values: 0.25 -0.677847\n0.50 -0.078485\n0.75 0.438850\nName: 15020, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39043508181988074, std values: 0.9768649997665901, min values: -2.228401125395257, max values: 5.0, median values: -0.5035885662113879, and quantile values: 0.25 -1.198905\n0.50 -0.503589\n0.75 0.255139\nName: 15021, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2687663019989204, std values: 0.9066038899592945, min values: -2.1783746090513927, max values: 6.0, median values: 0.2962774078778749, and quantile values: 0.25 -0.407216\n0.50 0.296277\n0.75 0.968081\nName: 15022, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0025002061568899815, std values: 0.8102918786596195, min values: -3.1070421433302986, max values: 3.026950214607353, median values: 0.0581682757543958, and quantile values: 0.25 -0.503313\n0.50 0.058168\n0.75 0.508531\nName: 15023, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24538501728040366, std values: 1.0457048300604164, min values: -2.5825978442440407, max values: 6.0, median values: 0.0887932006038109, and quantile values: 0.25 -0.512274\n0.50 0.088793\n0.75 0.969209\nName: 15024, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19395600630240892, std values: 0.8737876890638575, min values: -2.7510671817729784, max values: 6.0, median values: 0.237481828591934, and quantile values: 0.25 -0.430637\n0.50 0.237482\n0.75 0.804220\nName: 15025, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11654308028529395, std values: 0.8955328876857864, min values: -2.919359491767569, max values: 6.0, median values: -0.210714338897514, and quantile values: 0.25 -0.815650\n0.50 -0.210714\n0.75 0.499515\nName: 15026, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16199050231240877, std values: 0.9231484345036931, min values: -2.837386543755612, max values: 5.0, median values: -0.1711068503559559, and quantile values: 0.25 -0.877758\n0.50 -0.171107\n0.75 0.507757\nName: 15027, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.020714209874148733, std values: 0.7892342899410939, min values: -2.601639132009086, max values: 6.0, median values: 0.0403560450015373, and quantile values: 0.25 -0.530740\n0.50 0.040356\n0.75 0.545851\nName: 15028, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20490594409528953, std values: 0.9342832225067575, min values: -2.00361829438983, max values: 6.0, median values: 0.1174017421355318, and quantile values: 0.25 -0.516674\n0.50 0.117402\n0.75 0.843630\nName: 15029, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18872907004991235, std values: 0.8254297553899143, min values: -2.8246479422601736, max values: 5.0, median values: -0.1479941375902581, and quantile values: 0.25 -0.630399\n0.50 -0.147994\n0.75 0.277052\nName: 15030, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4042216248967029, std values: 1.0759562087742827, min values: -2.710223074556336, max values: 4.0, median values: 0.5850344083176942, and quantile values: 0.25 -0.339498\n0.50 0.585034\n0.75 1.218265\nName: 15031, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39242223731412, std values: 0.8787820116024686, min values: -3.0363117572416627, max values: 5.0, median values: 0.4267285903177569, and quantile values: 0.25 -0.139994\n0.50 0.426729\n0.75 0.931490\nName: 15032, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37487882461399546, std values: 0.8669835118087362, min values: -3.002493140275396, max values: 5.0, median values: -0.3194652161820592, and quantile values: 0.25 -0.938368\n0.50 -0.319465\n0.75 0.181456\nName: 15033, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08851066016953651, std values: 0.90789553762801, min values: -2.72346435408924, max values: 4.0, median values: -0.2313977804987884, and quantile values: 0.25 -0.743897\n0.50 -0.231398\n0.75 0.447192\nName: 15034, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26067016861869924, std values: 0.9495034591958539, min values: -2.0636979543884086, max values: 4.278004674434932, median values: 0.3019919912353528, and quantile values: 0.25 -0.445704\n0.50 0.301992\n0.75 0.981367\nName: 15035, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10976250494406109, std values: 0.8169706982333057, min values: -2.4536054974529624, max values: 6.0, median values: -0.1972730452147679, and quantile values: 0.25 -0.721075\n0.50 -0.197273\n0.75 0.434901\nName: 15036, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10380892150290623, std values: 1.0108268267207592, min values: -3.24173864501462, max values: 2.9804248838044773, median values: 0.0147957396100511, and quantile values: 0.25 -0.752967\n0.50 0.014796\n0.75 0.614315\nName: 15037, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3083658137986872, std values: 0.9708172482599357, min values: -2.215291168881953, max values: 2.920585992232296, median values: -0.4277125181878321, and quantile values: 0.25 -1.105621\n0.50 -0.427713\n0.75 0.375462\nName: 15038, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16540556666873743, std values: 0.8392956848252117, min values: -2.3808324358856225, max values: 3.336438412828754, median values: -0.3026427098429837, and quantile values: 0.25 -0.758848\n0.50 -0.302643\n0.75 0.331749\nName: 15039, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16943200945659323, std values: 0.9093217133803164, min values: -2.623568901859613, max values: 4.0, median values: -0.1262592977051712, and quantile values: 0.25 -0.807900\n0.50 -0.126259\n0.75 0.440646\nName: 15040, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14393492517813475, std values: 1.056425950574277, min values: -2.5743883495350026, max values: 5.0, median values: 0.262808303904819, and quantile values: 0.25 -0.452709\n0.50 0.262808\n0.75 0.878662\nName: 15041, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24117293834176967, std values: 0.9026887239603115, min values: -2.6404955031131814, max values: 6.0, median values: 0.1717216819771028, and quantile values: 0.25 -0.338415\n0.50 0.171722\n0.75 0.831422\nName: 15042, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.010149870195001291, std values: 0.8356862111432156, min values: -2.607565022042742, max values: 4.0, median values: 0.0784849262179793, and quantile values: 0.25 -0.473231\n0.50 0.078485\n0.75 0.490485\nName: 15043, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0963720158700495, std values: 1.0244168314441755, min values: -2.5953860446419177, max values: 3.496479817235339, median values: 0.044826027976913, and quantile values: 0.25 -0.531968\n0.50 0.044826\n0.75 0.668762\nName: 15044, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10445210154913419, std values: 1.1377051389222153, min values: -2.7688682710567485, max values: 3.709787027503053, median values: 0.1294046479628154, and quantile values: 0.25 -0.785373\n0.50 0.129405\n0.75 0.924979\nName: 15045, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43873829082713606, std values: 0.793263807163468, min values: -2.5825978442440407, max values: 6.0, median values: -0.4748506478375818, and quantile values: 0.25 -0.966586\n0.50 -0.474851\n0.75 0.002644\nName: 15046, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.043301438064957856, std values: 0.8153192177205277, min values: -2.4147479614044456, max values: 3.760287110694155, median values: -0.0696481120195369, and quantile values: 0.25 -0.564820\n0.50 -0.069648\n0.75 0.424684\nName: 15047, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.031113268873775104, std values: 1.0412777107141133, min values: -2.8531572940820533, max values: 3.236860296211547, median values: 0.1958995937997195, and quantile values: 0.25 -0.573357\n0.50 0.195900\n0.75 0.736663\nName: 15048, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0861327476681495, std values: 0.9138497071867888, min values: -2.609385158408876, max values: 4.0, median values: 0.1176873222810547, and quantile values: 0.25 -0.470816\n0.50 0.117687\n0.75 0.709428\nName: 15049, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05614652742776131, std values: 0.8014751075468853, min values: -2.2065783767301927, max values: 6.0, median values: 0.0383441177493567, and quantile values: 0.25 -0.492776\n0.50 0.038344\n0.75 0.587308\nName: 15050, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36901181836493047, std values: 0.8143876022057185, min values: -2.105967784650795, max values: 6.0, median values: -0.3605483830345338, and quantile values: 0.25 -1.000337\n0.50 -0.360548\n0.75 0.218290\nName: 15051, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.042301084247362605, std values: 1.0288884338480115, min values: -2.8297583842718432, max values: 5.0, median values: 0.0168758371768703, and quantile values: 0.25 -0.687617\n0.50 0.016876\n0.75 0.620887\nName: 15052, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27346762570387134, std values: 0.8139943661375274, min values: -1.9792159832831149, max values: 3.1888787873512885, median values: 0.3195231788995173, and quantile values: 0.25 -0.293229\n0.50 0.319523\n0.75 0.797787\nName: 15053, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1953730816757635, std values: 0.7855340574038364, min values: -2.14258071674473, max values: 3.598076523509904, median values: 0.1864416411948165, and quantile values: 0.25 -0.317090\n0.50 0.186442\n0.75 0.691879\nName: 15054, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03046400220104222, std values: 0.7488564050054733, min values: -2.710223074556336, max values: 4.0, median values: -0.1131905343968397, and quantile values: 0.25 -0.524113\n0.50 -0.113191\n0.75 0.441323\nName: 15055, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06604685243442857, std values: 0.773988797345834, min values: -2.662750916816848, max values: 5.0, median values: -0.100411577690095, and quantile values: 0.25 -0.562105\n0.50 -0.100412\n0.75 0.373011\nName: 15056, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2314041797098183, std values: 0.8072592826529857, min values: -2.693453432157769, max values: 3.025409039429847, median values: 0.2828084648303826, and quantile values: 0.25 -0.257918\n0.50 0.282808\n0.75 0.726801\nName: 15057, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08911742242301603, std values: 0.8201937883117307, min values: -2.016491303607746, max values: 3.281452258958016, median values: -0.0784998336083729, and quantile values: 0.25 -0.694911\n0.50 -0.078500\n0.75 0.478843\nName: 15058, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14745314276156177, std values: 1.1204837291065213, min values: -2.815821936576896, max values: 3.4566816047670264, median values: 0.3244539576380324, and quantile values: 0.25 -0.486939\n0.50 0.324454\n0.75 0.920495\nName: 15059, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.045282736960992755, std values: 0.7428935294199049, min values: -1.9166331549587248, max values: 5.0, median values: -0.0124205495353577, and quantile values: 0.25 -0.460528\n0.50 -0.012421\n0.75 0.494434\nName: 15060, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.156806878084484, std values: 1.0133198471067684, min values: -2.564449278715455, max values: 3.569037956734876, median values: 0.0787887967424123, and quantile values: 0.25 -0.481303\n0.50 0.078789\n0.75 0.803845\nName: 15061, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31216314516599925, std values: 0.9492855411309752, min values: -2.117042895443173, max values: 3.0, median values: -0.4567730146122483, and quantile values: 0.25 -1.059836\n0.50 -0.456773\n0.75 0.335988\nName: 15062, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25049176474324725, std values: 0.97946713777304, min values: -3.0390690173369013, max values: 3.9048392686725855, median values: 0.3721496380468263, and quantile values: 0.25 -0.416659\n0.50 0.372150\n0.75 1.000688\nName: 15063, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20848202742608724, std values: 1.3006781440897763, min values: -3.101800431129944, max values: 6.0, median values: 0.2129622240498756, and quantile values: 0.25 -0.639747\n0.50 0.212962\n0.75 1.049289\nName: 15064, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.293145824208995, std values: 0.8572701001598834, min values: -2.841647375415054, max values: 5.0, median values: 0.3087521880030314, and quantile values: 0.25 -0.242190\n0.50 0.308752\n0.75 0.812160\nName: 15065, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5637240194923299, std values: 0.9965750660047977, min values: -2.841647375415054, max values: 3.312693232344632, median values: -0.6261178809645642, and quantile values: 0.25 -1.367748\n0.50 -0.626118\n0.75 0.136105\nName: 15066, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6245630217548288, std values: 0.9651976762573969, min values: -2.607565022042742, max values: 4.0, median values: -0.7371690437552509, and quantile values: 0.25 -1.422776\n0.50 -0.737169\n0.75 -0.020327\nName: 15067, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20943102986029558, std values: 0.8316501840096959, min values: -2.5961021427111413, max values: 3.215720519334646, median values: 0.2656800780337888, and quantile values: 0.25 -0.286164\n0.50 0.265680\n0.75 0.739122\nName: 15068, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07194196565423988, std values: 0.869135954422318, min values: -2.5039074859839925, max values: 4.0, median values: -0.0723610481310989, and quantile values: 0.25 -0.565541\n0.50 -0.072361\n0.75 0.693889\nName: 15069, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06604368902345821, std values: 0.989307238768546, min values: -2.7230534645798463, max values: 3.216771431244405, median values: 0.006263184631349, and quantile values: 0.25 -0.590878\n0.50 0.006263\n0.75 0.654843\nName: 15070, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4289322883051569, std values: 1.0218820084788782, min values: -2.8563982925340614, max values: 5.0, median values: -0.4600546376501506, and quantile values: 0.25 -1.140070\n0.50 -0.460055\n0.75 0.267851\nName: 15071, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.009694915212488008, std values: 0.9256055423646045, min values: -2.724017888297919, max values: 3.3636961113187773, median values: 0.0418452817381128, and quantile values: 0.25 -0.678129\n0.50 0.041845\n0.75 0.730252\nName: 15072, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22176289394746584, std values: 1.020794997270649, min values: -2.6800544037614658, max values: 4.0, median values: -0.1672820028981509, and quantile values: 0.25 -0.790272\n0.50 -0.167282\n0.75 0.437930\nName: 15073, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21250458190868438, std values: 0.8526082913353186, min values: -2.146424125626329, max values: 3.0315977762793005, median values: -0.2928270645171925, and quantile values: 0.25 -0.790181\n0.50 -0.292827\n0.75 0.331574\nName: 15074, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44747581237680645, std values: 1.0160540088220023, min values: -2.5953860446419177, max values: 5.0, median values: -0.5821432035372214, and quantile values: 0.25 -1.172541\n0.50 -0.582143\n0.75 0.198165\nName: 15075, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21804098892849014, std values: 0.9320085513954652, min values: -2.267175988438518, max values: 5.0, median values: 0.2457047578759864, and quantile values: 0.25 -0.467957\n0.50 0.245705\n0.75 0.899470\nName: 15076, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3612227848682079, std values: 0.798832821897094, min values: -2.4564928597243227, max values: 4.0, median values: 0.4267285903177569, and quantile values: 0.25 -0.155621\n0.50 0.426729\n0.75 0.896050\nName: 15077, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4045326567401161, std values: 1.310339305816681, min values: -2.9265160609644223, max values: 6.0, median values: -0.0645670314177073, and quantile values: 0.25 -1.703674\n0.50 -0.064567\n0.75 0.579882\nName: 15078, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10495657251402458, std values: 1.5640724089600238, min values: -2.9029979285382743, max values: 3.434669824302974, median values: 0.214371857040305, and quantile values: 0.25 -1.793670\n0.50 0.214372\n0.75 1.198962\nName: 15079, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19601589556800292, std values: 0.7890430228142441, min values: -2.300042081328127, max values: 4.0, median values: 0.2406839957311568, and quantile values: 0.25 -0.357261\n0.50 0.240684\n0.75 0.740753\nName: 15080, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1563312772291271, std values: 1.1053760191633786, min values: -2.7510671817729784, max values: 6.0, median values: -0.0512620478823754, and quantile values: 0.25 -0.900002\n0.50 -0.051262\n0.75 0.705448\nName: 15081, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12989710232790247, std values: 0.8470735473800797, min values: -2.8350118695332047, max values: 5.0, median values: -0.1001885821911466, and quantile values: 0.25 -0.614622\n0.50 -0.100189\n0.75 0.372580\nName: 15082, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1577061107354147, std values: 1.2277835360488383, min values: -2.58513369695146, max values: 4.0, median values: -0.1461464769434442, and quantile values: 0.25 -1.095639\n0.50 -0.146146\n0.75 0.713415\nName: 15083, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.036331532744985476, std values: 0.8148377247596832, min values: -2.088894678224596, max values: 3.169414082461771, median values: -0.0422027519520889, and quantile values: 0.25 -0.517115\n0.50 -0.042203\n0.75 0.564349\nName: 15084, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35600082808487926, std values: 0.8864893153019966, min values: -2.673124659932621, max values: 6.0, median values: -0.4490216271489079, and quantile values: 0.25 -0.991401\n0.50 -0.449022\n0.75 0.250205\nName: 15085, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03587296034614456, std values: 0.8337159391646538, min values: -2.7024513197886706, max values: 3.0, median values: -0.0267574515953173, and quantile values: 0.25 -0.638043\n0.50 -0.026757\n0.75 0.519834\nName: 15086, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19853257495796098, std values: 1.0774945262306919, min values: -2.778044916685896, max values: 3.670892362631932, median values: -0.1763487195512151, and quantile values: 0.25 -0.844096\n0.50 -0.176349\n0.75 0.498738\nName: 15087, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21032313415229187, std values: 0.9252879331849956, min values: -2.9109251266226006, max values: 3.415255285860171, median values: -0.2592665636229976, and quantile values: 0.25 -0.849820\n0.50 -0.259267\n0.75 0.429189\nName: 15088, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1355455233680402, std values: 0.8384466772449423, min values: -2.579952672199424, max values: 6.0, median values: -0.2099894422718259, and quantile values: 0.25 -0.758848\n0.50 -0.209989\n0.75 0.415391\nName: 15089, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.010862642496018734, std values: 1.100679351932627, min values: -2.6820581866633817, max values: 3.163266084685921, median values: 0.0696362202639023, and quantile values: 0.25 -0.766359\n0.50 0.069636\n0.75 0.714234\nName: 15090, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3560624786618267, std values: 0.7852866676286859, min values: -2.5961021427111413, max values: 3.0651860794139534, median values: -0.4366646620399206, and quantile values: 0.25 -0.846806\n0.50 -0.436665\n0.75 0.071581\nName: 15091, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37665139888816007, std values: 0.8949427218792926, min values: -2.5953860446419177, max values: 5.0, median values: 0.4058258787345664, and quantile values: 0.25 -0.075750\n0.50 0.405826\n0.75 0.906541\nName: 15092, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0972184150815363, std values: 1.0980114620078993, min values: -2.610097161345549, max values: 4.0, median values: 0.0876872580693299, and quantile values: 0.25 -0.791662\n0.50 0.087687\n0.75 0.688419\nName: 15093, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0915292612048488, std values: 1.0481184334096283, min values: -2.9109251266226006, max values: 3.760287110694155, median values: 0.0047741880382667, and quantile values: 0.25 -0.835671\n0.50 0.004774\n0.75 0.680361\nName: 15094, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07675747620232116, std values: 0.7513678349343869, min values: -2.5759052915632985, max values: 3.528773265847577, median values: 0.1312426116177181, and quantile values: 0.25 -0.454968\n0.50 0.131243\n0.75 0.560937\nName: 15095, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3893426589903864, std values: 0.9626011438291691, min values: -2.6115251494731915, max values: 3.0, median values: -0.4431996921418174, and quantile values: 0.25 -1.038729\n0.50 -0.443200\n0.75 0.267021\nName: 15096, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3200590515208268, std values: 0.9572852800217049, min values: -2.486556664247513, max values: 3.0, median values: -0.4018000481573028, and quantile values: 0.25 -1.055123\n0.50 -0.401800\n0.75 0.365993\nName: 15097, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08825648030495707, std values: 0.8613921385886869, min values: -2.601639132009086, max values: 6.0, median values: -0.1945024259476849, and quantile values: 0.25 -0.697321\n0.50 -0.194502\n0.75 0.417840\nName: 15098, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3506561303718903, std values: 1.0297595493033684, min values: -2.071631732921682, max values: 3.784832159836258, median values: 0.4121728796170812, and quantile values: 0.25 -0.403060\n0.50 0.412173\n0.75 1.168926\nName: 15099, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15814101433641384, std values: 0.8749824832815951, min values: -2.641174291463747, max values: 6.0, median values: -0.1512979119737376, and quantile values: 0.25 -0.682672\n0.50 -0.151298\n0.75 0.347561\nName: 15100, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.004867798264750436, std values: 0.7954426516200273, min values: -2.745904427753044, max values: 5.0, median values: -0.0602098075718652, and quantile values: 0.25 -0.551673\n0.50 -0.060210\n0.75 0.508321\nName: 15101, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24863358654392506, std values: 1.1961907937095302, min values: -2.982771139679002, max values: 4.0, median values: -0.0699793901128997, and quantile values: 0.25 -1.011315\n0.50 -0.069979\n0.75 0.659012\nName: 15102, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37405467533143594, std values: 0.8252679758419401, min values: -2.077797959314264, max values: 4.0, median values: -0.4904140817380706, and quantile values: 0.25 -0.971404\n0.50 -0.490414\n0.75 0.134244\nName: 15103, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2592112633903323, std values: 1.0413644191833609, min values: -2.815821936576896, max values: 3.5908526919299577, median values: -0.3141854064012809, and quantile values: 0.25 -1.054546\n0.50 -0.314185\n0.75 0.522975\nName: 15104, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5249197272639005, std values: 1.0701602138332706, min values: -2.673549169958716, max values: 6.0, median values: 0.5668771834082081, and quantile values: 0.25 -0.217413\n0.50 0.566877\n0.75 1.380365\nName: 15105, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5500775510004416, std values: 1.0268644219289838, min values: -2.0864604194430334, max values: 3.379902545505621, median values: 0.4369506653661707, and quantile values: 0.25 -0.175077\n0.50 0.436951\n0.75 1.274137\nName: 15106, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.700556462095224, std values: 1.028985050692221, min values: -2.748993280390358, max values: 3.455472209455805, median values: 0.7380366147624154, and quantile values: 0.25 -0.022549\n0.50 0.738037\n0.75 1.546180\nName: 15107, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.002408936502156534, std values: 0.8735528584475312, min values: -2.169311742921253, max values: 6.0, median values: 0.0165212701774416, and quantile values: 0.25 -0.630870\n0.50 0.016521\n0.75 0.543271\nName: 15108, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.019829005975225737, std values: 1.0432734201039349, min values: -2.9472833478224456, max values: 6.0, median values: 0.0103825075531623, and quantile values: 0.25 -0.677118\n0.50 0.010383\n0.75 0.720659\nName: 15109, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4469074625884267, std values: 0.933745687417643, min values: -2.7939007019027, max values: 3.0089865423056903, median values: 0.5681712383279155, and quantile values: 0.25 -0.050718\n0.50 0.568171\n0.75 1.080211\nName: 15110, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14637827871237147, std values: 0.9085465355465754, min values: -2.8843374390620142, max values: 6.0, median values: -0.1017801889813797, and quantile values: 0.25 -0.710897\n0.50 -0.101780\n0.75 0.423572\nName: 15111, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.028179291570673195, std values: 1.118614323610647, min values: -2.5569229852416258, max values: 4.0, median values: -0.0275703447869127, and quantile values: 0.25 -0.966001\n0.50 -0.027570\n0.75 0.935677\nName: 15112, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23788678426853851, std values: 0.8195719723019089, min values: -2.0397470924909658, max values: 3.0, median values: -0.362873174568478, and quantile values: 0.25 -0.875017\n0.50 -0.362873\n0.75 0.321988\nName: 15113, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28632726620493654, std values: 0.9520741209317897, min values: -2.4788285026914285, max values: 4.243835016543704, median values: -0.4323788797576418, and quantile values: 0.25 -1.000298\n0.50 -0.432379\n0.75 0.282850\nName: 15114, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36618335095840265, std values: 0.9663711794008115, min values: -2.622709665346679, max values: 3.098911021393695, median values: 0.4111082125192514, and quantile values: 0.25 -0.168313\n0.50 0.411108\n0.75 0.977630\nName: 15115, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2558327221895659, std values: 0.8626117289914286, min values: -2.580492024304656, max values: 4.0, median values: -0.3311957977939445, and quantile values: 0.25 -0.941838\n0.50 -0.331196\n0.75 0.332015\nName: 15116, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01221175884532582, std values: 0.9323969877407665, min values: -2.589966702820638, max values: 6.0, median values: 0.0870849235393952, and quantile values: 0.25 -0.665184\n0.50 0.087085\n0.75 0.722253\nName: 15117, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.353903780775639, std values: 1.0734170629433466, min values: -2.245420051671778, max values: 3.0, median values: -0.4512447519712111, and quantile values: 0.25 -1.233405\n0.50 -0.451245\n0.75 0.412276\nName: 15118, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3063918268229386, std values: 0.8274533699567937, min values: -2.7648443048846945, max values: 3.2701555622463814, median values: 0.3349130235312548, and quantile values: 0.25 -0.283490\n0.50 0.334913\n0.75 0.930397\nName: 15119, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2833480681072641, std values: 0.8534113901496161, min values: -2.580492024304656, max values: 3.110498035652072, median values: -0.3671119864400914, and quantile values: 0.25 -0.917570\n0.50 -0.367112\n0.75 0.263371\nName: 15120, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09040835710187585, std values: 0.9531185179296621, min values: -2.090799501270592, max values: 4.026668017837955, median values: -0.0356985305544257, and quantile values: 0.25 -0.616685\n0.50 -0.035699\n0.75 0.718883\nName: 15121, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32138464021913554, std values: 0.767216035628689, min values: -2.264034258932616, max values: 3.32433157891547, median values: 0.3628437612469918, and quantile values: 0.25 -0.157583\n0.50 0.362844\n0.75 0.803192\nName: 15122, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07989930884057742, std values: 1.0275108140117961, min values: -2.030572340113053, max values: 3.0876051304901218, median values: -0.1990325708577168, and quantile values: 0.25 -0.909461\n0.50 -0.199033\n0.75 0.587027\nName: 15123, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2542869432568624, std values: 0.7983753518191612, min values: -2.2038853164231766, max values: 2.936634214427119, median values: 0.3001619448579642, and quantile values: 0.25 -0.286345\n0.50 0.300162\n0.75 0.789045\nName: 15124, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44864806645348754, std values: 0.834572411430323, min values: -2.196708653609315, max values: 6.0, median values: 0.4086761369562893, and quantile values: 0.25 -0.080065\n0.50 0.408676\n0.75 1.003995\nName: 15125, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.47049332297387225, std values: 1.0054717173887708, min values: -2.673124659932621, max values: 6.0, median values: -0.5400113730522461, and quantile values: 0.25 -1.301402\n0.50 -0.540011\n0.75 0.230257\nName: 15126, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17257912150755622, std values: 0.7559578973483323, min values: -1.9862942639163563, max values: 3.02009942896863, median values: 0.2288980930836313, and quantile values: 0.25 -0.323710\n0.50 0.228898\n0.75 0.667694\nName: 15127, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6233411548123138, std values: 0.8912758075624152, min values: -2.13876869940687, max values: 4.278004674434932, median values: 0.5658749434771533, and quantile values: 0.25 0.085310\n0.50 0.565875\n0.75 1.177484\nName: 15128, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4880828969890888, std values: 1.0062991597044086, min values: -2.019444869101018, max values: 3.9905524164385566, median values: 0.5569089771861383, and quantile values: 0.25 -0.295386\n0.50 0.556909\n0.75 1.332913\nName: 15129, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14955175271746224, std values: 0.7786795312716998, min values: -2.0106364024619245, max values: 3.9905524164385566, median values: 0.1257168622631817, and quantile values: 0.25 -0.344170\n0.50 0.125717\n0.75 0.622987\nName: 15130, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.010559874052094053, std values: 0.9547372775203852, min values: -2.739804196611005, max values: 6.0, median values: -0.1279933296234725, and quantile values: 0.25 -0.630803\n0.50 -0.127993\n0.75 0.562659\nName: 15131, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28719013537900095, std values: 0.9254436041645262, min values: -2.6635706018350787, max values: 3.2936960268109283, median values: -0.3179585615640789, and quantile values: 0.25 -0.965737\n0.50 -0.317959\n0.75 0.362344\nName: 15132, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1870622164513376, std values: 1.1229227555373045, min values: -2.891990595045606, max values: 6.0, median values: 0.2986377798916261, and quantile values: 0.25 -0.459556\n0.50 0.298638\n0.75 1.007182\nName: 15133, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5205947747922562, std values: 0.8112912379946938, min values: -2.841647375415054, max values: 5.0, median values: 0.5792666751926979, and quantile values: 0.25 0.037793\n0.50 0.579267\n0.75 1.043765\nName: 15134, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19733301943707957, std values: 1.1052336720634774, min values: -2.799990485600992, max values: 5.0, median values: 0.1326466517631886, and quantile values: 0.25 -0.669520\n0.50 0.132647\n0.75 0.970041\nName: 15135, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4121928601794634, std values: 1.0380884868117766, min values: -2.869671295224012, max values: 6.0, median values: -0.3464094072730801, and quantile values: 0.25 -1.043243\n0.50 -0.346409\n0.75 0.284917\nName: 15136, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04078193982181693, std values: 0.7990769275068847, min values: -2.1259296353090704, max values: 3.362228250221886, median values: -0.0047092399391218, and quantile values: 0.25 -0.587139\n0.50 -0.004709\n0.75 0.459095\nName: 15137, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26382857628586676, std values: 0.8839924299102302, min values: -2.679056533720636, max values: 5.0, median values: -0.3021238135013281, and quantile values: 0.25 -0.843271\n0.50 -0.302124\n0.75 0.287713\nName: 15138, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21098339434421864, std values: 0.8162547180646073, min values: -2.6412681606926487, max values: 4.278004674434932, median values: 0.1617001499396506, and quantile values: 0.25 -0.356743\n0.50 0.161700\n0.75 0.782930\nName: 15139, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2915162310937042, std values: 1.0736123665062218, min values: -2.6404955031131814, max values: 5.0, median values: -0.3769101384883644, and quantile values: 0.25 -1.187234\n0.50 -0.376910\n0.75 0.474234\nName: 15140, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17407477377781824, std values: 0.9291738439775371, min values: -2.64479559868397, max values: 6.0, median values: 0.286394253770982, and quantile values: 0.25 -0.444478\n0.50 0.286394\n0.75 0.836335\nName: 15141, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4272023927941405, std values: 0.9037877832698193, min values: -2.4960309093026924, max values: 3.3636961113187773, median values: -0.5993578171960616, and quantile values: 0.25 -1.109038\n0.50 -0.599358\n0.75 0.183612\nName: 15142, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12603399336432256, std values: 0.9956038624959529, min values: -2.101255482180127, max values: 3.0089865423056903, median values: 0.0892078566138505, and quantile values: 0.25 -0.651684\n0.50 0.089208\n0.75 0.840362\nName: 15143, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02057797644498005, std values: 0.7907157780827784, min values: -2.3808324358856225, max values: 3.281452258958016, median values: 0.0514937238827644, and quantile values: 0.25 -0.497975\n0.50 0.051494\n0.75 0.526582\nName: 15144, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23428252294905363, std values: 0.9151083800696866, min values: -1.9213207984352068, max values: 3.9048392686725855, median values: 0.1315022576773759, and quantile values: 0.25 -0.437029\n0.50 0.131502\n0.75 0.911003\nName: 15145, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.031490837256309974, std values: 1.0063589250222462, min values: -2.643887016977268, max values: 6.0, median values: -0.0643301950182551, and quantile values: 0.25 -0.746816\n0.50 -0.064330\n0.75 0.668553\nName: 15146, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24111402967887266, std values: 0.8547618771651673, min values: -2.1238235090034925, max values: 5.0, median values: 0.2326689813918018, and quantile values: 0.25 -0.307290\n0.50 0.232669\n0.75 0.762035\nName: 15147, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5390512638171568, std values: 0.9426715084553888, min values: -2.64479559868397, max values: 6.0, median values: 0.5939942922374809, and quantile values: 0.25 -0.130430\n0.50 0.593994\n0.75 1.293665\nName: 15148, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4381781139510172, std values: 0.8549412892386379, min values: -2.5039074859839925, max values: 4.0, median values: -0.5591970492153745, and quantile values: 0.25 -1.043907\n0.50 -0.559197\n0.75 0.073143\nName: 15149, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15169978429518347, std values: 0.7670052435761459, min values: -2.299460330888208, max values: 4.0, median values: 0.1541956090152009, and quantile values: 0.25 -0.338215\n0.50 0.154196\n0.75 0.590428\nName: 15150, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15651310415512132, std values: 0.9278255664358962, min values: -2.7648443048846945, max values: 3.867701659180865, median values: -0.3247809204787139, and quantile values: 0.25 -0.816842\n0.50 -0.324781\n0.75 0.389634\nName: 15151, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25460965736997343, std values: 0.8693262315754569, min values: -2.182528720823968, max values: 3.667275230673496, median values: -0.3569943919466953, and quantile values: 0.25 -0.866528\n0.50 -0.356994\n0.75 0.236888\nName: 15152, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10543056335810247, std values: 0.8084579560223424, min values: -2.0600063421362025, max values: 3.630507857092792, median values: 0.0872984441728881, and quantile values: 0.25 -0.426048\n0.50 0.087298\n0.75 0.617018\nName: 15153, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14316179259311976, std values: 0.7933628034207567, min values: -2.4536054974529624, max values: 6.0, median values: -0.2329031431173741, and quantile values: 0.25 -0.689676\n0.50 -0.232903\n0.75 0.361583\nName: 15154, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.354711661034103, std values: 0.9189105722960123, min values: -2.590643619371846, max values: 4.0, median values: 0.3513375983017251, and quantile values: 0.25 -0.159660\n0.50 0.351338\n0.75 0.988793\nName: 15155, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1430351170304672, std values: 0.8771079151405381, min values: -2.5953860446419177, max values: 3.5581019918925243, median values: -0.1824733084320711, and quantile values: 0.25 -0.639052\n0.50 -0.182473\n0.75 0.334718\nName: 15156, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.48609181428631143, std values: 0.7813647386749645, min values: -2.136064736636534, max values: 3.721862465295849, median values: 0.5811647506554071, and quantile values: 0.25 -0.057984\n0.50 0.581165\n0.75 1.051543\nName: 15157, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17890995477363023, std values: 0.8276057657806668, min values: -1.9858984077066573, max values: 6.0, median values: -0.2626572547373658, and quantile values: 0.25 -0.773460\n0.50 -0.262657\n0.75 0.311852\nName: 15158, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45772449591012976, std values: 0.8282971623389273, min values: -2.14134152667523, max values: 5.0, median values: 0.4696782262792009, and quantile values: 0.25 -0.077435\n0.50 0.469678\n0.75 0.995011\nName: 15159, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20469042933041626, std values: 0.9451430647418105, min values: -2.0787527795044047, max values: 3.1841025362512254, median values: -0.2723617655429859, and quantile values: 0.25 -0.961458\n0.50 -0.272362\n0.75 0.452282\nName: 15160, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19899569647565754, std values: 1.0200192317330459, min values: -2.718268957824607, max values: 3.721862465295849, median values: -0.0706695775169092, and quantile values: 0.25 -0.880077\n0.50 -0.070670\n0.75 0.505784\nName: 15161, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5128942529210603, std values: 0.8343883306393092, min values: -2.688157591415518, max values: 5.0, median values: 0.568371745238296, and quantile values: 0.25 -0.019747\n0.50 0.568372\n0.75 1.073866\nName: 15162, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3879405373333202, std values: 0.8293616608199695, min values: -3.062179113294277, max values: 3.1175233493066874, median values: -0.4996752826310262, and quantile values: 0.25 -0.986363\n0.50 -0.499675\n0.75 0.143121\nName: 15163, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1537088337153963, std values: 1.0735285791809763, min values: -2.933035609461076, max values: 5.0, median values: 0.2266423222517813, and quantile values: 0.25 -0.470355\n0.50 0.226642\n0.75 0.980384\nName: 15164, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.003521811683392361, std values: 0.8580544947867468, min values: -2.6320986139293034, max values: 3.630507857092792, median values: 0.0653697771893086, and quantile values: 0.25 -0.471487\n0.50 0.065370\n0.75 0.517745\nName: 15165, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5034495330125659, std values: 0.9420669049430663, min values: -2.5213149333948146, max values: 3.405671179043623, median values: 0.5528006664476597, and quantile values: 0.25 -0.143050\n0.50 0.552801\n0.75 1.246953\nName: 15166, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11665191908754169, std values: 0.855675799240436, min values: -2.0549499710103847, max values: 6.0, median values: -0.2183325190454498, and quantile values: 0.25 -0.758942\n0.50 -0.218333\n0.75 0.426936\nName: 15167, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3045965931855672, std values: 0.9310491400999399, min values: -2.558791007225312, max values: 3.17157439250477, median values: 0.3401987259034906, and quantile values: 0.25 -0.230937\n0.50 0.340199\n0.75 0.872758\nName: 15168, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16708104222532855, std values: 0.8235662085557778, min values: -2.8889090019311845, max values: 5.0, median values: -0.2056182254090911, and quantile values: 0.25 -0.726407\n0.50 -0.205618\n0.75 0.312026\nName: 15169, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5466620753928224, std values: 1.0527447791817206, min values: -3.4448847096097555, max values: 2.994755503775916, median values: -0.685912784194618, and quantile values: 0.25 -1.493944\n0.50 -0.685913\n0.75 0.216663\nName: 15170, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1903918817856992, std values: 0.7361796912169308, min values: -2.566149343918479, max values: 6.0, median values: -0.2235110655145659, and quantile values: 0.25 -0.645284\n0.50 -0.223511\n0.75 0.235697\nName: 15171, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03894290129207843, std values: 0.759308269369675, min values: -2.0942940418967018, max values: 6.0, median values: -0.0123379252655001, and quantile values: 0.25 -0.553077\n0.50 -0.012338\n0.75 0.440599\nName: 15172, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2872922792192552, std values: 1.0282963603966144, min values: -2.841647375415054, max values: 5.0, median values: -0.3643148125292982, and quantile values: 0.25 -1.111691\n0.50 -0.364315\n0.75 0.406211\nName: 15173, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12416791801395721, std values: 0.9619794804724916, min values: -2.6668673616981367, max values: 4.0, median values: -0.1665390560635028, and quantile values: 0.25 -0.814600\n0.50 -0.166539\n0.75 0.522790\nName: 15174, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0427211746919637, std values: 0.8016993709530424, min values: -2.5759052915632985, max values: 3.477886732511886, median values: 0.0429571025056822, and quantile values: 0.25 -0.406108\n0.50 0.042957\n0.75 0.524780\nName: 15175, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03442462657077841, std values: 1.0759462212249227, min values: -2.35897191305291, max values: 4.243835016543704, median values: -0.0659217515068385, and quantile values: 0.25 -0.827499\n0.50 -0.065922\n0.75 0.780107\nName: 15176, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.054300252988152775, std values: 0.9897978882018194, min values: -2.657870006553045, max values: 3.2266531185902125, median values: 0.0324470032954128, and quantile values: 0.25 -0.646199\n0.50 0.032447\n0.75 0.586782\nName: 15177, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07768991974203067, std values: 0.7558705035392268, min values: -2.439930808627264, max values: 4.0, median values: 0.0133294222242172, and quantile values: 0.25 -0.443423\n0.50 0.013329\n0.75 0.583383\nName: 15178, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16523858443373965, std values: 1.0429440362769062, min values: -2.7314147016889114, max values: 3.4566816047670264, median values: 0.2692235717859383, and quantile values: 0.25 -0.459950\n0.50 0.269224\n0.75 0.861339\nName: 15179, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27414151861562197, std values: 0.9357663914111524, min values: -2.222049826555007, max values: 2.753152983622478, median values: -0.3624614166216516, and quantile values: 0.25 -1.051536\n0.50 -0.362461\n0.75 0.398435\nName: 15180, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6277093032108958, std values: 0.8587130359257222, min values: -2.321103531050575, max values: 4.0, median values: 0.7396286062902234, and quantile values: 0.25 0.057748\n0.50 0.739629\n0.75 1.266377\nName: 15181, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4183324839322078, std values: 0.8395497305650524, min values: -2.1238235090034925, max values: 5.0, median values: 0.505950984208763, and quantile values: 0.25 -0.159437\n0.50 0.505951\n0.75 1.070148\nName: 15182, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0396014087473588, std values: 1.0624844130836484, min values: -2.8246479422601736, max values: 6.0, median values: 0.0338247252089073, and quantile values: 0.25 -0.736376\n0.50 0.033825\n0.75 0.692626\nName: 15183, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28406315194511184, std values: 1.1158456593359403, min values: -2.739804196611005, max values: 6.0, median values: 0.1738461468239499, and quantile values: 0.25 -0.498390\n0.50 0.173846\n0.75 1.048303\nName: 15184, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1919742812226882, std values: 0.8954942042911346, min values: -2.64479559868397, max values: 6.0, median values: 0.3254786049177844, and quantile values: 0.25 -0.345134\n0.50 0.325479\n0.75 0.806787\nName: 15185, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03569492299509556, std values: 0.8945417207899294, min values: -2.93129584560762, max values: 6.0, median values: 0.0062159147022661, and quantile values: 0.25 -0.423417\n0.50 0.006216\n0.75 0.604276\nName: 15186, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02191864771210599, std values: 0.9970455801911691, min values: -2.580492024304656, max values: 3.306454397423372, median values: -0.0567614497717674, and quantile values: 0.25 -0.717812\n0.50 -0.056761\n0.75 0.697562\nName: 15187, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25856335407058545, std values: 0.9594733158682549, min values: -2.5832619696830608, max values: 6.0, median values: -0.2604914253852547, and quantile values: 0.25 -1.011825\n0.50 -0.260491\n0.75 0.403338\nName: 15188, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3685502952045177, std values: 0.88233905442776, min values: -2.0567990530927305, max values: 3.518664430018096, median values: -0.4598911193658461, and quantile values: 0.25 -1.092033\n0.50 -0.459891\n0.75 0.227070\nName: 15189, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2689989380988282, std values: 0.8985333166285189, min values: -2.7016525309724218, max values: 3.017846660960028, median values: -0.2193905149305445, and quantile values: 0.25 -0.910254\n0.50 -0.219391\n0.75 0.341169\nName: 15190, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26171892209292447, std values: 0.7780257247428506, min values: -2.071631732921682, max values: 6.0, median values: 0.2543039067627243, and quantile values: 0.25 -0.225672\n0.50 0.254304\n0.75 0.745979\nName: 15191, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.00461013442578442, std values: 0.9366678614941282, min values: -1.943774464622537, max values: 4.0, median values: -0.1062238120835045, and quantile values: 0.25 -0.770340\n0.50 -0.106224\n0.75 0.678783\nName: 15192, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22141122418125284, std values: 0.8342073278978641, min values: -2.0094909540835846, max values: 3.216771431244405, median values: 0.1457245154685634, and quantile values: 0.25 -0.418227\n0.50 0.145725\n0.75 0.836921\nName: 15193, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3440915266460722, std values: 1.2284546904263705, min values: -2.960014365184806, max values: 6.0, median values: -0.1291663194181828, and quantile values: 0.25 -1.131161\n0.50 -0.129166\n0.75 0.493312\nName: 15194, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14041633409079893, std values: 0.8430026075090308, min values: -2.111380524687595, max values: 6.0, median values: -0.2264768189375434, and quantile values: 0.25 -0.742277\n0.50 -0.226477\n0.75 0.395663\nName: 15195, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12208896468325867, std values: 1.213180194431038, min values: -2.92272757463548, max values: 6.0, median values: -0.0339693147332873, and quantile values: 0.25 -0.977560\n0.50 -0.033969\n0.75 0.841742\nName: 15196, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0775234792467281, std values: 0.9168730012699883, min values: -2.4536054974529624, max values: 6.0, median values: -0.1005499711318414, and quantile values: 0.25 -0.799803\n0.50 -0.100550\n0.75 0.606286\nName: 15197, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25545008676444886, std values: 0.9361402141887355, min values: -2.086946282658587, max values: 4.0, median values: -0.297745249224489, and quantile values: 0.25 -1.055517\n0.50 -0.297745\n0.75 0.428341\nName: 15198, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5718209835015233, std values: 0.8685982165022634, min values: -2.5156802245814003, max values: 4.0, median values: -0.717353185930056, and quantile values: 0.25 -1.186176\n0.50 -0.717353\n0.75 -0.071967\nName: 15199, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32866220419787984, std values: 1.1725728463755536, min values: -2.873069976951463, max values: 3.9048392686725855, median values: -0.0977660248671667, and quantile values: 0.25 -1.023282\n0.50 -0.097766\n0.75 0.498444\nName: 15200, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29910867486044285, std values: 0.9284265575840491, min values: -2.469941537133514, max values: 4.0, median values: -0.4290660031387947, and quantile values: 0.25 -1.028808\n0.50 -0.429066\n0.75 0.328446\nName: 15201, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4111916751563997, std values: 0.8491239800632361, min values: -1.9213207984352068, max values: 6.0, median values: 0.4966975801132874, and quantile values: 0.25 -0.190048\n0.50 0.496698\n0.75 1.037471\nName: 15202, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44153566556457835, std values: 0.927918513335843, min values: -2.9029979285382743, max values: 6.0, median values: -0.4087419147854754, and quantile values: 0.25 -1.040589\n0.50 -0.408742\n0.75 0.112477\nName: 15203, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4450798555236781, std values: 0.8244419497416645, min values: -1.975713706915316, max values: 3.3636961113187773, median values: 0.4963844060195738, and quantile values: 0.25 -0.137894\n0.50 0.496384\n0.75 1.063241\nName: 15204, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3767962980145828, std values: 0.93958036660998, min values: -2.982771139679002, max values: 4.0, median values: 0.5273414524477944, and quantile values: 0.25 -0.183290\n0.50 0.527341\n0.75 1.044477\nName: 15205, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2009948284801024, std values: 1.026556296442409, min values: -2.8889090019311845, max values: 5.0, median values: -0.0378204912351027, and quantile values: 0.25 -0.908129\n0.50 -0.037820\n0.75 0.526456\nName: 15206, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34356096743505016, std values: 1.1174323324171263, min values: -2.5832619696830608, max values: 6.0, median values: 0.2568923508991938, and quantile values: 0.25 -0.523737\n0.50 0.256892\n0.75 1.273470\nName: 15207, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24202714368332998, std values: 0.8928515799523109, min values: -2.7211321814067784, max values: 3.528773265847577, median values: -0.1751323877919047, and quantile values: 0.25 -0.833385\n0.50 -0.175132\n0.75 0.329518\nName: 15208, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07418805682340217, std values: 0.8258951957671565, min values: -2.693453432157769, max values: 3.518664430018096, median values: -0.1473490100540976, and quantile values: 0.25 -0.596197\n0.50 -0.147349\n0.75 0.418011\nName: 15209, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27579956860412835, std values: 0.8105872591264169, min values: -2.196708653609315, max values: 6.0, median values: 0.3187697472213595, and quantile values: 0.25 -0.317390\n0.50 0.318770\n0.75 0.829711\nName: 15210, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1729451475691041, std values: 0.9846304513466537, min values: -2.6800544037614658, max values: 4.0, median values: 0.2342875712554953, and quantile values: 0.25 -0.283219\n0.50 0.234288\n0.75 0.799999\nName: 15211, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1084920384250577, std values: 0.897674267239975, min values: -2.4737574649270093, max values: 3.336438412828754, median values: -0.2243877041020301, and quantile values: 0.25 -0.792794\n0.50 -0.224388\n0.75 0.460871\nName: 15212, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26480192396133223, std values: 0.8527188733713437, min values: -2.6635706018350787, max values: 3.0, median values: 0.3004091895504659, and quantile values: 0.25 -0.281768\n0.50 0.300409\n0.75 0.812231\nName: 15213, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6055523933225102, std values: 0.8054843059271412, min values: -2.047302085077502, max values: 4.278004674434932, median values: 0.6956939289024928, and quantile values: 0.25 0.060399\n0.50 0.695694\n0.75 1.173854\nName: 15214, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7307437055072536, std values: 0.8892733954770976, min values: -2.577980573682184, max values: 3.5581019918925243, median values: 0.8543732267833077, and quantile values: 0.25 0.166023\n0.50 0.854373\n0.75 1.325708\nName: 15215, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45472592283947494, std values: 1.004765862633121, min values: -2.261588024039264, max values: 5.0, median values: -0.5487943892433453, and quantile values: 0.25 -1.314940\n0.50 -0.548794\n0.75 0.286078\nName: 15216, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43640915446731265, std values: 0.7929550486548361, min values: -2.161914689831906, max values: 5.0, median values: 0.4795851966601118, and quantile values: 0.25 -0.061451\n0.50 0.479585\n0.75 0.954530\nName: 15217, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2415536473671327, std values: 1.017205332599675, min values: -2.299460330888208, max values: 4.0, median values: -0.2596653130319984, and quantile values: 0.25 -1.073529\n0.50 -0.259665\n0.75 0.503750\nName: 15218, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2117835437481555, std values: 0.836007879757819, min values: -2.109672538097332, max values: 2.909025160955454, median values: -0.2776881369893825, and quantile values: 0.25 -0.837977\n0.50 -0.277688\n0.75 0.356138\nName: 15219, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36524360405276135, std values: 0.9216568616604114, min values: -2.0131371991989395, max values: 4.0, median values: 0.5055212439682075, and quantile values: 0.25 -0.291840\n0.50 0.505521\n0.75 1.058406\nName: 15220, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5577908057734827, std values: 0.8360645254695482, min values: -2.197064770708586, max values: 4.0, median values: -0.741403715096123, and quantile values: 0.25 -1.181459\n0.50 -0.741404\n0.75 -0.053605\nName: 15221, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.46144522706093244, std values: 1.308806707785181, min values: -2.4705236352348297, max values: 3.9905524164385566, median values: 0.3103493327483292, and quantile values: 0.25 -0.568761\n0.50 0.310349\n0.75 1.435901\nName: 15222, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01690674673448608, std values: 1.025401778986501, min values: -2.5820330744015787, max values: 4.0, median values: 0.1182109108277131, and quantile values: 0.25 -0.660998\n0.50 0.118211\n0.75 0.811837\nName: 15223, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09942372163349414, std values: 1.0699806994668009, min values: -2.6800544037614658, max values: 4.0, median values: 0.1684805680249021, and quantile values: 0.25 -0.666284\n0.50 0.168481\n0.75 0.967861\nName: 15224, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05997869909293379, std values: 0.8368190189096452, min values: -2.1017566422541964, max values: 3.8226908388056136, median values: -0.1452467963131702, and quantile values: 0.25 -0.632052\n0.50 -0.145247\n0.75 0.490663\nName: 15225, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03928118144461244, std values: 0.8388871178046832, min values: -2.5906203367024587, max values: 3.306454397423372, median values: 0.0761370780136794, and quantile values: 0.25 -0.440333\n0.50 0.076137\n0.75 0.583352\nName: 15226, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11184372015850526, std values: 0.9706127625704459, min values: -2.6820581866633817, max values: 3.0, median values: 0.2067695364604735, and quantile values: 0.25 -0.574883\n0.50 0.206770\n0.75 0.892558\nName: 15227, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3022459990302943, std values: 0.82271154846228, min values: -2.240740315114864, max values: 4.0, median values: -0.3012499589846837, and quantile values: 0.25 -0.869257\n0.50 -0.301250\n0.75 0.213752\nName: 15228, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15831958605213178, std values: 0.8581448362890625, min values: -2.052706238094415, max values: 3.2328207660681025, median values: -0.2691010400844226, and quantile values: 0.25 -0.785973\n0.50 -0.269101\n0.75 0.360624\nName: 15229, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06043739198717396, std values: 0.826756423602882, min values: -2.482931728382393, max values: 3.5581019918925243, median values: 0.0728507925635516, and quantile values: 0.25 -0.469692\n0.50 0.072851\n0.75 0.536955\nName: 15230, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4922406193646798, std values: 0.9978380786484489, min values: -2.960014365184806, max values: 6.0, median values: -0.5264555294000546, and quantile values: 0.25 -1.147982\n0.50 -0.526456\n0.75 0.121544\nName: 15231, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34455088288666286, std values: 0.845414438256783, min values: -2.1201603002813605, max values: 6.0, median values: 0.4290660031387944, and quantile values: 0.25 -0.253718\n0.50 0.429066\n0.75 0.980031\nName: 15232, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3645402994645344, std values: 1.236997399410194, min values: -2.92272757463548, max values: 6.0, median values: -0.4811176676949067, and quantile values: 0.25 -1.189131\n0.50 -0.481118\n0.75 0.512776\nName: 15233, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8935829764475944, std values: 0.8943814350601891, min values: -1.989871054037948, max values: 5.0, median values: 1.011269421580283, and quantile values: 0.25 0.324034\n0.50 1.011269\n0.75 1.543456\nName: 15234, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19317857516481762, std values: 0.7671596156866202, min values: -2.21721969498032, max values: 3.0, median values: -0.2403163152746936, and quantile values: 0.25 -0.735363\n0.50 -0.240316\n0.75 0.276313\nName: 15235, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1858419255961441, std values: 0.8291531209290938, min values: -2.799990485600992, max values: 5.0, median values: -0.2503054635586857, and quantile values: 0.25 -0.776715\n0.50 -0.250305\n0.75 0.350277\nName: 15236, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10102652557090601, std values: 0.7421646831735391, min values: -2.085005777586541, max values: 3.721862465295849, median values: -0.1119299451074332, and quantile values: 0.25 -0.599200\n0.50 -0.111930\n0.75 0.354728\nName: 15237, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1794374497030293, std values: 0.8616625484630341, min values: -2.572123985342288, max values: 5.0, median values: -0.2487145018589555, and quantile values: 0.25 -0.739049\n0.50 -0.248715\n0.75 0.329019\nName: 15238, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.045176532710996434, std values: 0.8787385396267655, min values: -3.2266531185902174, max values: 3.477886732511886, median values: 0.0653421789976333, and quantile values: 0.25 -0.479108\n0.50 0.065342\n0.75 0.600445\nName: 15239, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07169991950894217, std values: 0.9185688162488395, min values: -2.6122411453164007, max values: 4.0, median values: -0.0602098075718652, and quantile values: 0.25 -0.649801\n0.50 -0.060210\n0.75 0.472201\nName: 15240, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25111484838959236, std values: 0.8481599478565446, min values: -2.0697574862023345, max values: 3.0838352979250487, median values: -0.3497491091365456, and quantile values: 0.25 -0.909539\n0.50 -0.349749\n0.75 0.301102\nName: 15241, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0685616565409002, std values: 0.9180040051108806, min values: -2.778044916685896, max values: 3.0089865423056903, median values: 0.0493688923592329, and quantile values: 0.25 -0.453961\n0.50 0.049369\n0.75 0.614222\nName: 15242, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18093722843608112, std values: 1.1670070939025643, min values: -2.6270253558526173, max values: 4.0, median values: 0.2254300194926306, and quantile values: 0.25 -0.669114\n0.50 0.225430\n0.75 1.085805\nName: 15243, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1658710684656608, std values: 0.930540803118309, min values: -2.4902145713898545, max values: 3.0, median values: -0.0632171120530372, and quantile values: 0.25 -0.747835\n0.50 -0.063217\n0.75 0.473813\nName: 15244, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06522121034564883, std values: 0.7894484606709307, min values: -2.4788285026914285, max values: 4.0, median values: 0.0631934302925753, and quantile values: 0.25 -0.422875\n0.50 0.063193\n0.75 0.535079\nName: 15245, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14285810888522135, std values: 0.8875286238989499, min values: -2.198824557881052, max values: 3.784832159836258, median values: 0.1927203831819725, and quantile values: 0.25 -0.515213\n0.50 0.192720\n0.75 0.770873\nName: 15246, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25770015613413055, std values: 0.9601619655042214, min values: -2.732564679617164, max values: 3.438667023696733, median values: 0.2746680842345236, and quantile values: 0.25 -0.460370\n0.50 0.274668\n0.75 0.975943\nName: 15247, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1282505378589306, std values: 0.7240810949731782, min values: -2.589966702820638, max values: 6.0, median values: -0.1882353587992576, and quantile values: 0.25 -0.609242\n0.50 -0.188235\n0.75 0.306624\nName: 15248, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38215668104455086, std values: 0.7910802130438981, min values: -2.579952672199424, max values: 6.0, median values: -0.5046578577903288, and quantile values: 0.25 -0.955573\n0.50 -0.504658\n0.75 0.105558\nName: 15249, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2182735995527272, std values: 0.8300999364491426, min values: -2.5631847770497496, max values: 4.0, median values: 0.2644535472881652, and quantile values: 0.25 -0.365168\n0.50 0.264454\n0.75 0.842079\nName: 15250, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1743826506909798, std values: 0.792661397972663, min values: -2.174309863242296, max values: 3.670892362631932, median values: -0.2887467109756818, and quantile values: 0.25 -0.729026\n0.50 -0.288747\n0.75 0.326922\nName: 15251, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.012497958088809604, std values: 0.9244753473823637, min values: -3.0133870328644434, max values: 3.477886732511886, median values: -0.0129520705696749, and quantile values: 0.25 -0.596459\n0.50 -0.012952\n0.75 0.541573\nName: 15252, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23780194744200497, std values: 1.0357522735334574, min values: -2.1548749249906303, max values: 5.0, median values: 0.1094666848987248, and quantile values: 0.25 -0.456957\n0.50 0.109467\n0.75 0.846231\nName: 15253, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10797623982658856, std values: 0.7310573204031618, min values: -2.841647375415054, max values: 5.0, median values: -0.1249396817279722, and quantile values: 0.25 -0.572059\n0.50 -0.124940\n0.75 0.319553\nName: 15254, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.335948745294942, std values: 0.8956633195744285, min values: -2.842989614395848, max values: 5.0, median values: -0.4081132843424448, and quantile values: 0.25 -0.903835\n0.50 -0.408113\n0.75 0.204749\nName: 15255, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.108744867371042, std values: 0.9364451192829343, min values: -2.169311742921253, max values: 6.0, median values: -0.2449653703243391, and quantile values: 0.25 -0.805171\n0.50 -0.244965\n0.75 0.493046\nName: 15256, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2050131083873682, std values: 0.8900299267315499, min values: -2.955641696055872, max values: 3.030805337148847, median values: -0.1392468238987512, and quantile values: 0.25 -0.768466\n0.50 -0.139247\n0.75 0.395247\nName: 15257, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22667483524836912, std values: 0.7385513790354272, min values: -2.0397470924909658, max values: 6.0, median values: 0.2609757807726032, and quantile values: 0.25 -0.263741\n0.50 0.260976\n0.75 0.706684\nName: 15258, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2646864922339711, std values: 0.7624118938589323, min values: -2.7884838087481176, max values: 6.0, median values: -0.220051368194049, and quantile values: 0.25 -0.698999\n0.50 -0.220051\n0.75 0.156482\nName: 15259, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26246952478587904, std values: 0.9655132892288054, min values: -2.63315074164461, max values: 6.0, median values: 0.4226936208139439, and quantile values: 0.25 -0.293740\n0.50 0.422694\n0.75 0.947086\nName: 15260, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35952829245580964, std values: 1.0022707508741753, min values: -2.673549169958716, max values: 6.0, median values: -0.4887797402684769, and quantile values: 0.25 -1.079605\n0.50 -0.488780\n0.75 0.300780\nName: 15261, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24381954081178622, std values: 0.9113063532977098, min values: -2.862971749830789, max values: 2.7116734725216074, median values: -0.319006148566545, and quantile values: 0.25 -0.898090\n0.50 -0.319006\n0.75 0.360775\nName: 15262, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21618743097341653, std values: 0.7898261995222924, min values: -3.0223671288921072, max values: 2.70271304623503, median values: 0.2118260622859084, and quantile values: 0.25 -0.304566\n0.50 0.211826\n0.75 0.731858\nName: 15263, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3567072405880525, std values: 1.016039134998788, min values: -2.7542003929097176, max values: 5.0, median values: 0.4876614491294186, and quantile values: 0.25 -0.330789\n0.50 0.487661\n0.75 1.118782\nName: 15264, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23626568302134418, std values: 1.2069920417166458, min values: -2.724017888297919, max values: 3.721862465295849, median values: -0.4383552007730664, and quantile values: 0.25 -1.134195\n0.50 -0.438355\n0.75 0.468787\nName: 15265, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.517360951611315, std values: 0.843199066908755, min values: -2.788272971802125, max values: 3.216771431244405, median values: -0.6637136559260711, and quantile values: 0.25 -1.100497\n0.50 -0.663714\n0.75 -0.038482\nName: 15266, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3460243711893275, std values: 0.9225999459517059, min values: -2.6652153608723106, max values: 5.0, median values: -0.4631833523502264, and quantile values: 0.25 -0.940794\n0.50 -0.463183\n0.75 0.162778\nName: 15267, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07954172039790883, std values: 0.8199581269355253, min values: -2.56026492390943, max values: 4.0, median values: -0.0917121095482176, and quantile values: 0.25 -0.585680\n0.50 -0.091712\n0.75 0.448960\nName: 15268, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17458663227210386, std values: 0.8302809644560306, min values: -2.5624611946462936, max values: 5.0, median values: -0.2062700340824865, and quantile values: 0.25 -0.674421\n0.50 -0.206270\n0.75 0.339090\nName: 15269, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4849677666771579, std values: 0.8207625232690168, min values: -2.6685266729136536, max values: 5.0, median values: 0.5763458249070738, and quantile values: 0.25 -0.047882\n0.50 0.576346\n0.75 1.075761\nName: 15270, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.469011251674425, std values: 1.3149381391117962, min values: -2.9029979285382743, max values: 3.306454397423372, median values: -0.3408935380522146, and quantile values: 0.25 -1.779217\n0.50 -0.340894\n0.75 0.593764\nName: 15271, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12610188575572032, std values: 0.7495276389969919, min values: -2.8680719719444903, max values: 3.709787027503053, median values: -0.0913923509456434, and quantile values: 0.25 -0.544148\n0.50 -0.091392\n0.75 0.325030\nName: 15272, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17629766461951024, std values: 0.829110989750803, min values: -2.0106364024619245, max values: 4.0, median values: -0.2747918510771461, and quantile values: 0.25 -0.733957\n0.50 -0.274792\n0.75 0.287084\nName: 15273, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32360043461869364, std values: 0.7621778213720275, min values: -2.8998169811239416, max values: 2.890580632480353, median values: -0.4048765259808111, and quantile values: 0.25 -0.872559\n0.50 -0.404877\n0.75 0.150713\nName: 15274, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06897788658984243, std values: 1.0177540529347724, min values: -2.727901130262228, max values: 4.0, median values: 0.0142993624895012, and quantile values: 0.25 -0.498755\n0.50 0.014299\n0.75 0.523421\nName: 15275, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10530047272447814, std values: 0.7873141134766567, min values: -2.1458731235133714, max values: 3.627976272701048, median values: 0.0405765399651164, and quantile values: 0.25 -0.428553\n0.50 0.040577\n0.75 0.622126\nName: 15276, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4827820647040065, std values: 0.858602927746416, min values: -2.541693081833126, max values: 3.2936960268109283, median values: 0.5781210301785025, and quantile values: 0.25 -0.091475\n0.50 0.578121\n0.75 1.114505\nName: 15277, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26603560507339, std values: 0.870043840772019, min values: -2.579952672199424, max values: 6.0, median values: 0.2749380678675706, and quantile values: 0.25 -0.347112\n0.50 0.274938\n0.75 0.897984\nName: 15278, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23260965982751056, std values: 1.005936671843715, min values: -2.5039074859839925, max values: 4.0, median values: 0.1593812753479776, and quantile values: 0.25 -0.555254\n0.50 0.159381\n0.75 0.975500\nName: 15279, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08467799063892165, std values: 0.9870170391302611, min values: -2.9666813816765707, max values: 4.0, median values: -0.094462443201233, and quantile values: 0.25 -0.889562\n0.50 -0.094462\n0.75 0.662977\nName: 15280, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1710666862325486, std values: 0.873681597347102, min values: -2.6635706018350787, max values: 3.867701659180865, median values: -0.2012026981186839, and quantile values: 0.25 -0.781101\n0.50 -0.201203\n0.75 0.344024\nName: 15281, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3453151103427025, std values: 0.9199802212316558, min values: -2.7428415536925543, max values: 5.0, median values: -0.438043007151169, and quantile values: 0.25 -0.997263\n0.50 -0.438043\n0.75 0.269885\nName: 15282, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17925932071472334, std values: 0.8489562248550948, min values: -2.083495767849852, max values: 3.598076523509904, median values: 0.2511073308629902, and quantile values: 0.25 -0.414257\n0.50 0.251107\n0.75 0.809342\nName: 15283, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24151827740989928, std values: 0.8253199419239012, min values: -2.560041333834972, max values: 3.2696814875916886, median values: -0.2040494140540462, and quantile values: 0.25 -0.887247\n0.50 -0.204049\n0.75 0.325977\nName: 15284, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.005605980405364755, std values: 0.8358306202523795, min values: -2.5695487141177, max values: 4.0, median values: -0.010960866067674, and quantile values: 0.25 -0.441063\n0.50 -0.010961\n0.75 0.537582\nName: 15285, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.006928136489114032, std values: 0.964899190273442, min values: -3.2372475247926937, max values: 3.2936960268109283, median values: 0.0983912510512379, and quantile values: 0.25 -0.609869\n0.50 0.098391\n0.75 0.620487\nName: 15286, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13274803560812112, std values: 0.9744675674945217, min values: -2.4536054974529624, max values: 6.0, median values: -0.2645701896255678, and quantile values: 0.25 -0.887598\n0.50 -0.264570\n0.75 0.465763\nName: 15287, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3213591639460028, std values: 0.9667211723257403, min values: -2.634919142586459, max values: 6.0, median values: 0.4848949662102291, and quantile values: 0.25 -0.204913\n0.50 0.484895\n0.75 0.940637\nName: 15288, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.212195244970326, std values: 0.8978200060088863, min values: -2.8282523283494294, max values: 3.9905524164385566, median values: -0.1887731627700613, and quantile values: 0.25 -0.758000\n0.50 -0.188773\n0.75 0.293740\nName: 15289, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1584578555091057, std values: 0.931850689367338, min values: -2.142854198138545, max values: 5.0, median values: -0.2354427811389526, and quantile values: 0.25 -0.907256\n0.50 -0.235443\n0.75 0.493553\nName: 15290, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5345836527070662, std values: 0.9455749365012293, min values: -3.215720519334632, max values: 3.022367128892113, median values: -0.5489229515506323, and quantile values: 0.25 -1.325539\n0.50 -0.548923\n0.75 0.076840\nName: 15291, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.313592614216332, std values: 0.76457204605606, min values: -2.0131371991989395, max values: 4.243835016543704, median values: 0.3099174478264954, and quantile values: 0.25 -0.148353\n0.50 0.309917\n0.75 0.787550\nName: 15292, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9740534758705278, std values: 1.4627935364206395, min values: -2.879968592907284, max values: 4.0, median values: -1.6752151743604673, and quantile values: 0.25 -2.127962\n0.50 -1.675215\n0.75 0.090148\nName: 15293, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2352491934088354, std values: 0.9392579352811493, min values: -2.116008317253216, max values: 5.0, median values: -0.3462839301295929, and quantile values: 0.25 -0.954921\n0.50 -0.346284\n0.75 0.379957\nName: 15294, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03513884257749654, std values: 0.987217417659415, min values: -2.096272675358738, max values: 6.0, median values: -0.1778176529262317, and quantile values: 0.25 -0.732847\n0.50 -0.177818\n0.75 0.612404\nName: 15295, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06557062302963926, std values: 0.8844765909497805, min values: -2.739804196611005, max values: 6.0, median values: -0.1054503597421095, and quantile values: 0.25 -0.734642\n0.50 -0.105450\n0.75 0.518312\nName: 15296, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17470001563616322, std values: 0.7503789192304401, min values: -2.0446222759012818, max values: 4.0, median values: 0.2222688593878057, and quantile values: 0.25 -0.316471\n0.50 0.222269\n0.75 0.671185\nName: 15297, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.131614687594152, std values: 0.7731147925404909, min values: -2.1775880058603043, max values: 2.53688542792136, median values: -0.2200676080619874, and quantile values: 0.25 -0.669144\n0.50 -0.220068\n0.75 0.351659\nName: 15298, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42506363257542784, std values: 0.7793761284341635, min values: -2.0595468593293136, max values: 3.0, median values: -0.5307404739815379, and quantile values: 0.25 -1.007374\n0.50 -0.530740\n0.75 0.073901\nName: 15299, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11322693877202304, std values: 0.9779968295873218, min values: -2.5743883495350026, max values: 5.0, median values: 0.0433604621391573, and quantile values: 0.25 -0.666972\n0.50 0.043360\n0.75 0.828780\nName: 15300, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09400972717575426, std values: 1.0642633933925365, min values: -2.8246479422601736, max values: 6.0, median values: 0.2177758473004069, and quantile values: 0.25 -0.576443\n0.50 0.217776\n0.75 0.902445\nName: 15301, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34121481758991407, std values: 1.0077035128753316, min values: -2.56026492390943, max values: 4.0, median values: 0.3366133643153092, and quantile values: 0.25 -0.389379\n0.50 0.336613\n0.75 1.051153\nName: 15302, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1255491026932094, std values: 0.8738364453448567, min values: -2.142034234211891, max values: 3.0774992973297404, median values: -0.1138173895773467, and quantile values: 0.25 -0.749184\n0.50 -0.113817\n0.75 0.418822\nName: 15303, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35569019271616503, std values: 0.8711432538271048, min values: -2.8889090019311845, max values: 5.0, median values: 0.277910477045556, and quantile values: 0.25 -0.273334\n0.50 0.277910\n0.75 0.931600\nName: 15304, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15910661583885943, std values: 0.9812699666024488, min values: -2.0384258727554823, max values: 6.0, median values: -0.1995870693725151, and quantile values: 0.25 -0.970725\n0.50 -0.199587\n0.75 0.493473\nName: 15305, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38323414112683624, std values: 1.1743190048855576, min values: -2.8246479422601736, max values: 6.0, median values: -0.1633431045700053, and quantile values: 0.25 -1.299858\n0.50 -0.163343\n0.75 0.520402\nName: 15306, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07211851269833766, std values: 0.9574099163584587, min values: -2.63315074164461, max values: 6.0, median values: 0.2478402031745499, and quantile values: 0.25 -0.443362\n0.50 0.247840\n0.75 0.755653\nName: 15307, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5369947164884895, std values: 0.7580613138777785, min values: -2.536941606705235, max values: 4.0, median values: -0.6312394339174657, and quantile values: 0.25 -1.064161\n0.50 -0.631239\n0.75 -0.129810\nName: 15308, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30386785281129003, std values: 1.1289497595360503, min values: -2.933035609461076, max values: 5.0, median values: -0.3733645098704335, and quantile values: 0.25 -1.097549\n0.50 -0.373365\n0.75 0.543408\nName: 15309, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28397007953584774, std values: 0.7969522534321546, min values: -2.3333312203517527, max values: 3.281452258958016, median values: 0.3545029596681403, and quantile values: 0.25 -0.199797\n0.50 0.354503\n0.75 0.767135\nName: 15310, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18067267711275212, std values: 0.9568925490862765, min values: -2.5399045531878324, max values: 4.0, median values: -0.2713901604251308, and quantile values: 0.25 -0.852661\n0.50 -0.271390\n0.75 0.451611\nName: 15311, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6125266025163955, std values: 0.8767046096097088, min values: -2.2522345393529366, max values: 3.528773265847577, median values: -0.7597998987198787, and quantile values: 0.25 -1.308824\n0.50 -0.759800\n0.75 -0.066462\nName: 15312, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21737890077332842, std values: 0.8844718399807293, min values: -2.634919142586459, max values: 6.0, median values: 0.3496234860729809, and quantile values: 0.25 -0.205166\n0.50 0.349623\n0.75 0.755800\nName: 15313, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5187695594164745, std values: 1.0604944340071454, min values: -2.93129584560762, max values: 6.0, median values: -0.4891526397882719, and quantile values: 0.25 -1.212980\n0.50 -0.489153\n0.75 0.211923\nName: 15314, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07395324673053505, std values: 0.8212755025302197, min values: -2.4657737907743, max values: 3.4566816047670264, median values: -0.1285208980016323, and quantile values: 0.25 -0.624882\n0.50 -0.128521\n0.75 0.393793\nName: 15315, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3148211001794412, std values: 0.8130161313058365, min values: -2.579952672199424, max values: 6.0, median values: 0.3699722130364266, and quantile values: 0.25 -0.208148\n0.50 0.369972\n0.75 0.848464\nName: 15316, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12764909816384354, std values: 0.8725749249859643, min values: -2.783691185534105, max values: 3.022367128892113, median values: -0.2022157479172533, and quantile values: 0.25 -0.811903\n0.50 -0.202216\n0.75 0.491564\nName: 15317, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5982927875699774, std values: 0.825586345236539, min values: -2.564449278715455, max values: 3.0, median values: 0.674771653125604, and quantile values: 0.25 0.080302\n0.50 0.674772\n0.75 1.198341\nName: 15318, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6435931983955494, std values: 1.2254544377698544, min values: -2.63315074164461, max values: 6.0, median values: 0.8361643068817504, and quantile values: 0.25 -0.162131\n0.50 0.836164\n0.75 1.619593\nName: 15319, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08952002728710781, std values: 0.8151958857419915, min values: -2.1002547423964093, max values: 4.0, median values: 0.0504810993537494, and quantile values: 0.25 -0.409550\n0.50 0.050481\n0.75 0.579242\nName: 15320, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.060355455087594545, std values: 0.8532534804937058, min values: -2.140943184359666, max values: 2.866305441355491, median values: 0.1126910342179266, and quantile values: 0.25 -0.601699\n0.50 0.112691\n0.75 0.712775\nName: 15321, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3343595599324295, std values: 0.8684046306240301, min values: -2.0999281303014694, max values: 6.0, median values: 0.3827115617119593, and quantile values: 0.25 -0.285160\n0.50 0.382712\n0.75 0.976609\nName: 15322, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21580048510023497, std values: 1.1630426889127963, min values: -2.788272971802125, max values: 6.0, median values: -0.2130194401656046, and quantile values: 0.25 -1.187012\n0.50 -0.213019\n0.75 0.642404\nName: 15323, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14605498843993808, std values: 0.8400061469762595, min values: -2.841647375415054, max values: 5.0, median values: -0.1119327482745595, and quantile values: 0.25 -0.633149\n0.50 -0.111933\n0.75 0.344202\nName: 15324, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0070324299141808705, std values: 0.830072189464576, min values: -2.5879430435308, max values: 3.397048482165858, median values: 0.0366630376358314, and quantile values: 0.25 -0.576118\n0.50 0.036663\n0.75 0.536383\nName: 15325, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.026068925279247965, std values: 0.763348962915645, min values: -2.537573835824454, max values: 6.0, median values: -0.0104100483545225, and quantile values: 0.25 -0.479267\n0.50 -0.010410\n0.75 0.507694\nName: 15326, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11062025799198447, std values: 0.9419772329208832, min values: -2.657750824678472, max values: 5.0, median values: -0.1814160342924258, and quantile values: 0.25 -0.749238\n0.50 -0.181416\n0.75 0.534390\nName: 15327, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.021343231369232964, std values: 0.7930236037723831, min values: -2.0085619686347487, max values: 5.0, median values: 0.0273721738231433, and quantile values: 0.25 -0.567205\n0.50 0.027372\n0.75 0.483540\nName: 15328, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4068767810681774, std values: 1.1854951544311618, min values: -2.5399045531878324, max values: 4.0, median values: 0.5721240016479949, and quantile values: 0.25 -0.356351\n0.50 0.572124\n0.75 1.310898\nName: 15329, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04447611803321197, std values: 0.7924450169151864, min values: -2.061387406231346, max values: 3.176672644814091, median values: -0.10725056714943, and quantile values: 0.25 -0.555226\n0.50 -0.107251\n0.75 0.426984\nName: 15330, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22670489831147753, std values: 1.0044769084821514, min values: -2.212004168819108, max values: 3.110498035652072, median values: -0.3440530158334667, and quantile values: 0.25 -1.063490\n0.50 -0.344053\n0.75 0.453014\nName: 15331, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0001152288468518561, std values: 0.9687254865909417, min values: -2.841647375415054, max values: 5.0, median values: -0.0303040723103986, and quantile values: 0.25 -0.768059\n0.50 -0.030304\n0.75 0.718541\nName: 15332, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6156524653212452, std values: 1.0150737895289756, min values: -2.6466193392086392, max values: 4.0, median values: -0.6553210953470343, and quantile values: 0.25 -1.438950\n0.50 -0.655321\n0.75 0.099619\nName: 15333, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3324651132799387, std values: 0.9035524129895759, min values: -2.799990485600992, max values: 5.0, median values: -0.4444865690467231, and quantile values: 0.25 -1.027645\n0.50 -0.444487\n0.75 0.271847\nName: 15334, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1903324695635182, std values: 0.7870206725197622, min values: -2.020286901424804, max values: 5.0, median values: 0.2073807249594918, and quantile values: 0.25 -0.328579\n0.50 0.207381\n0.75 0.697909\nName: 15335, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18168790386488406, std values: 0.8775936392017761, min values: -2.6278943940336483, max values: 4.026668017837955, median values: 0.2594659331705772, and quantile values: 0.25 -0.302858\n0.50 0.259466\n0.75 0.732599\nName: 15336, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16173262726982107, std values: 0.8147211625361419, min values: -2.442256129120324, max values: 6.0, median values: 0.1806161684961124, and quantile values: 0.25 -0.364385\n0.50 0.180616\n0.75 0.680622\nName: 15337, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30318535437276956, std values: 0.9646585733916763, min values: -2.1139459297101, max values: 3.5427287984042666, median values: 0.2312544681462956, and quantile values: 0.25 -0.355886\n0.50 0.231254\n0.75 0.935506\nName: 15338, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20268436186428412, std values: 1.1763030093833304, min values: -2.5293911731823453, max values: 3.390469008396469, median values: -0.0272397489072056, and quantile values: 0.25 -0.963855\n0.50 -0.027240\n0.75 0.702272\nName: 15339, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27774135976921516, std values: 1.0755816749195553, min values: -2.5293911731823453, max values: 3.630507857092792, median values: -0.3247809204787139, and quantile values: 0.25 -1.176273\n0.50 -0.324781\n0.75 0.514158\nName: 15340, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12697893591081036, std values: 0.8353542249184055, min values: -2.009390704747527, max values: 5.0, median values: 0.0531553871486336, and quantile values: 0.25 -0.451337\n0.50 0.053155\n0.75 0.678922\nName: 15341, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.122918419329193, std values: 0.7877784059230131, min values: -2.7648443048846945, max values: 3.247416277295021, median values: -0.1848166027516021, and quantile values: 0.25 -0.682324\n0.50 -0.184817\n0.75 0.391379\nName: 15342, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1878833767893758, std values: 0.9761124543120133, min values: -2.801183634509044, max values: 5.0, median values: 0.2860741574128872, and quantile values: 0.25 -0.428462\n0.50 0.286074\n0.75 0.856384\nName: 15343, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06478449960681867, std values: 0.7878645194708969, min values: -2.0754191617391693, max values: 6.0, median values: 0.0379582866749822, and quantile values: 0.25 -0.433781\n0.50 0.037958\n0.75 0.554537\nName: 15344, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.571965712504571, std values: 1.0880412169132885, min values: -2.2398683045325223, max values: 3.306454397423372, median values: 0.4414273873122812, and quantile values: 0.25 -0.275773\n0.50 0.441427\n0.75 1.495678\nName: 15345, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10645406566031093, std values: 0.9443117611352242, min values: -2.1248753939751497, max values: 3.627976272701048, median values: -0.2143436776977542, and quantile values: 0.25 -0.837909\n0.50 -0.214344\n0.75 0.545148\nName: 15346, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46634188553146216, std values: 0.8255199308834655, min values: -2.120681876014718, max values: 5.0, median values: -0.5823161210316933, and quantile values: 0.25 -1.113626\n0.50 -0.582316\n0.75 0.064045\nName: 15347, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2582140311744508, std values: 1.2543914439850314, min values: -2.9797100147087465, max values: 5.0, median values: -0.1092450491093737, and quantile values: 0.25 -1.217223\n0.50 -0.109245\n0.75 0.630903\nName: 15348, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01680863635067313, std values: 0.9645857047902661, min values: -2.56026492390943, max values: 4.0, median values: 0.0964362382415186, and quantile values: 0.25 -0.628765\n0.50 0.096436\n0.75 0.605135\nName: 15349, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3337586159334307, std values: 0.9588602865730789, min values: -2.6404955031131814, max values: 5.0, median values: 0.3131923499166806, and quantile values: 0.25 -0.385498\n0.50 0.313192\n0.75 1.125436\nName: 15350, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12617212011860826, std values: 1.0442314442314, min values: -2.8246479422601736, max values: 5.0, median values: -0.1192796134102018, and quantile values: 0.25 -0.732407\n0.50 -0.119280\n0.75 0.523674\nName: 15351, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16619756539743763, std values: 0.8081455531943454, min values: -2.2915911556076085, max values: 3.0, median values: -0.2548409903445666, and quantile values: 0.25 -0.742807\n0.50 -0.254841\n0.75 0.350225\nName: 15352, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15316040713101664, std values: 0.7742423609539335, min values: -1.95037348809558, max values: 6.0, median values: 0.0853376396098267, and quantile values: 0.25 -0.383541\n0.50 0.085338\n0.75 0.638617\nName: 15353, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15079905283798506, std values: 0.7884536215042808, min values: -2.476285024008804, max values: 3.434669824302974, median values: 0.0813924733880905, and quantile values: 0.25 -0.414107\n0.50 0.081392\n0.75 0.701667\nName: 15354, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2691556034012214, std values: 1.2070192663129276, min values: -2.5631847770497496, max values: 4.0, median values: 0.248998555879065, and quantile values: 0.25 -0.669175\n0.50 0.248999\n0.75 1.280863\nName: 15355, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.048878829551330306, std values: 0.8165791346207726, min values: -2.041071882478405, max values: 4.243835016543704, median values: 0.0841215523776843, and quantile values: 0.25 -0.504283\n0.50 0.084122\n0.75 0.599720\nName: 15356, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37027643675723704, std values: 1.0871315151587628, min values: -2.6820581866633817, max values: 3.0, median values: -0.2018780416432244, and quantile values: 0.25 -1.053692\n0.50 -0.201878\n0.75 0.369694\nName: 15357, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5580096171478063, std values: 0.7990785624777488, min values: -3.0223671288921072, max values: 3.047545592545638, median values: 0.6229591595453996, and quantile values: 0.25 0.021565\n0.50 0.622959\n0.75 1.137268\nName: 15358, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5158179567147663, std values: 0.9348698349189724, min values: -2.6115251494731915, max values: 3.397048482165858, median values: 0.5055338699742684, and quantile values: 0.25 -0.159353\n0.50 0.505534\n0.75 1.259271\nName: 15359, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11325060335604017, std values: 1.0493441533401597, min values: -2.622408470084112, max values: 3.2328207660681025, median values: 0.1132907582137184, and quantile values: 0.25 -0.425988\n0.50 0.113291\n0.75 0.706614\nName: 15360, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3353925149542453, std values: 0.9482576441087566, min values: -2.6685266729136536, max values: 5.0, median values: 0.4341961160034121, and quantile values: 0.25 -0.352363\n0.50 0.434196\n0.75 1.011913\nName: 15361, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0818364376308938, std values: 1.2661847338271508, min values: -2.727901130262228, max values: 4.0, median values: -1.6877491624678858, and quantile values: 0.25 -2.140874\n0.50 -1.687749\n0.75 -0.088710\nName: 15362, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31283280900038274, std values: 1.1548407556653273, min values: -2.6466193392086392, max values: 4.0, median values: -0.3243668758388165, and quantile values: 0.25 -1.226347\n0.50 -0.324367\n0.75 0.584558\nName: 15363, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1575166882232359, std values: 0.8398303858289112, min values: -2.221075353514828, max values: 3.32433157891547, median values: 0.1541956090152009, and quantile values: 0.25 -0.402313\n0.50 0.154196\n0.75 0.702061\nName: 15364, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08573600749358173, std values: 0.8087650740928414, min values: -2.0239085220433224, max values: 4.0, median values: 0.0631460668779596, and quantile values: 0.25 -0.470386\n0.50 0.063146\n0.75 0.610068\nName: 15365, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5912140849830176, std values: 0.9491806827360579, min values: -2.5213149333948146, max values: 3.2701555622463814, median values: 0.6143724402024913, and quantile values: 0.25 -0.114039\n0.50 0.614372\n0.75 1.345194\nName: 15366, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33466327295788717, std values: 0.9423668239988471, min values: -2.580492024304656, max values: 3.0, median values: -0.4155775153412302, and quantile values: 0.25 -1.106667\n0.50 -0.415578\n0.75 0.315179\nName: 15367, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15613565918774439, std values: 0.922317806358181, min values: -2.3184884946917497, max values: 6.0, median values: -0.2244604158572322, and quantile values: 0.25 -0.762604\n0.50 -0.224460\n0.75 0.346947\nName: 15368, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12362680595618718, std values: 0.8485714632657672, min values: -2.300042081328127, max values: 4.0, median values: 0.1278556431874241, and quantile values: 0.25 -0.496171\n0.50 0.127856\n0.75 0.776715\nName: 15369, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3102727882548862, std values: 0.8676423131186788, min values: -2.5820330744015787, max values: 4.0, median values: -0.3767031803941247, and quantile values: 0.25 -0.927849\n0.50 -0.376703\n0.75 0.254997\nName: 15370, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2899841294091093, std values: 0.8833478143706828, min values: -2.103263298070576, max values: 3.867701659180865, median values: -0.4228486843420476, and quantile values: 0.25 -0.963141\n0.50 -0.422849\n0.75 0.287478\nName: 15371, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2942390038620437, std values: 1.0571478894150648, min values: -2.6320986139293034, max values: 3.0, median values: 0.3679482752117598, and quantile values: 0.25 -0.390424\n0.50 0.367948\n0.75 1.097599\nName: 15372, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4568629971054157, std values: 0.8224794573150316, min values: -2.279638670509252, max values: 6.0, median values: -0.5942302190112172, and quantile values: 0.25 -1.072983\n0.50 -0.594230\n0.75 0.041018\nName: 15373, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12327833368913373, std values: 0.7864214566941542, min values: -2.6899145007874274, max values: 3.3014869995452325, median values: -0.1359139041337397, and quantile values: 0.25 -0.649427\n0.50 -0.135914\n0.75 0.344287\nName: 15374, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45760820619639503, std values: 0.9013194136343569, min values: -2.860922438481449, max values: 3.349054967837474, median values: -0.5520949198124492, and quantile values: 0.25 -1.209820\n0.50 -0.552095\n0.75 0.150824\nName: 15375, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.047652364771219306, std values: 1.117148152108737, min values: -2.879968592907284, max values: 4.0, median values: -0.0646854509747397, and quantile values: 0.25 -0.634234\n0.50 -0.064685\n0.75 0.651571\nName: 15376, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.061219932839854704, std values: 0.8437770901101646, min values: -2.5743883495350026, max values: 5.0, median values: -0.0090880984109486, and quantile values: 0.25 -0.607337\n0.50 -0.009088\n0.75 0.489259\nName: 15377, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32032166993527955, std values: 0.7846474382001635, min values: -2.4125199145038643, max values: 4.0, median values: 0.3871007688579014, and quantile values: 0.25 -0.196736\n0.50 0.387101\n0.75 0.855054\nName: 15378, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1476602312089705, std values: 0.8930917161536842, min values: -2.687115288423959, max values: 5.0, median values: -0.068262156633507, and quantile values: 0.25 -0.693489\n0.50 -0.068262\n0.75 0.390011\nName: 15379, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.48159827456160004, std values: 1.0858190453072931, min values: -2.981718296512785, max values: 5.0, median values: -0.2983823236035485, and quantile values: 0.25 -1.283854\n0.50 -0.298382\n0.75 0.307686\nName: 15380, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15622894485850658, std values: 1.0549705014653612, min values: -2.64479559868397, max values: 6.0, median values: 0.2614629686793107, and quantile values: 0.25 -0.448577\n0.50 0.261463\n0.75 0.835058\nName: 15381, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21519978491317251, std values: 0.9576819159506358, min values: -2.673549169958716, max values: 6.0, median values: 0.321987589723803, and quantile values: 0.25 -0.377797\n0.50 0.321988\n0.75 0.861545\nName: 15382, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2703323288772999, std values: 0.80076691120281, min values: -2.783691185534105, max values: 3.405671179043623, median values: -0.2618542900120142, and quantile values: 0.25 -0.866832\n0.50 -0.261854\n0.75 0.303922\nName: 15383, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22002566141199129, std values: 0.9596801696519752, min values: -3.242093130849769, max values: 3.155170554159904, median values: -0.1596323023063741, and quantile values: 0.25 -0.933673\n0.50 -0.159632\n0.75 0.433902\nName: 15384, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29257237868840447, std values: 0.8268073181689757, min values: -1.9764330321622496, max values: 6.0, median values: 0.3341646353286778, and quantile values: 0.25 -0.273334\n0.50 0.334165\n0.75 0.860092\nName: 15385, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43539039392615553, std values: 0.7697927099711099, min values: -2.5743883495350026, max values: 5.0, median values: -0.5575714767344953, and quantile values: 0.25 -0.999792\n0.50 -0.557571\n0.75 0.060789\nName: 15386, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21542312623815912, std values: 0.781489375681744, min values: -2.226424194672579, max values: 4.0, median values: 0.2527499618284438, and quantile values: 0.25 -0.304517\n0.50 0.252750\n0.75 0.744779\nName: 15387, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5261881725532794, std values: 0.9422591849078905, min values: -2.048935494746508, max values: 3.569037956734876, median values: 0.3983691349359645, and quantile values: 0.25 -0.073949\n0.50 0.398369\n0.75 1.087992\nName: 15388, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10925932305354258, std values: 1.0440714538846687, min values: -2.876502173242568, max values: 4.026668017837955, median values: 0.0112266254453715, and quantile values: 0.25 -0.575442\n0.50 0.011227\n0.75 0.811082\nName: 15389, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22521927009287981, std values: 0.9069064025830025, min values: -2.5399045531878324, max values: 4.0, median values: 0.3051518607387558, and quantile values: 0.25 -0.268734\n0.50 0.305152\n0.75 0.804905\nName: 15390, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3236784906784068, std values: 1.4279836273016056, min values: -2.879968592907284, max values: 4.0, median values: -0.4452466641391399, and quantile values: 0.25 -1.448397\n0.50 -0.445247\n0.75 0.680900\nName: 15391, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8351709825501639, std values: 0.9947085545374212, min values: -2.6072570508709387, max values: 4.0, median values: -1.00792838075112, and quantile values: 0.25 -1.622062\n0.50 -1.007928\n0.75 -0.183696\nName: 15392, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25112955982864604, std values: 1.1444749390807563, min values: -2.6800544037614658, max values: 4.0, median values: 0.2511296032525132, and quantile values: 0.25 -0.432964\n0.50 0.251130\n0.75 1.044339\nName: 15393, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22520150067992822, std values: 0.8438022110474963, min values: -2.1012159016010257, max values: 6.0, median values: 0.2457204260033436, and quantile values: 0.25 -0.323554\n0.50 0.245720\n0.75 0.753127\nName: 15394, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05091280289635243, std values: 1.0377026627355328, min values: -2.642042398333877, max values: 3.0, median values: 0.1170055743624244, and quantile values: 0.25 -0.691354\n0.50 0.117006\n0.75 0.843310\nName: 15395, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4221264487777541, std values: 0.9807851671902273, min values: -1.89248252802978, max values: 3.5021977227593246, median values: 0.414438163617994, and quantile values: 0.25 -0.304813\n0.50 0.414438\n0.75 1.123156\nName: 15396, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15728032501069045, std values: 0.820014899810108, min values: -2.8531572940820533, max values: 3.0, median values: -0.2231440142559961, and quantile values: 0.25 -0.708425\n0.50 -0.223144\n0.75 0.356645\nName: 15397, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25273839220570693, std values: 0.8577720671503444, min values: -2.1798712735263623, max values: 3.163266084685921, median values: 0.288861559355887, and quantile values: 0.25 -0.354024\n0.50 0.288862\n0.75 0.907896\nName: 15398, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14114671059542122, std values: 0.8964984283150292, min values: -3.002493140275396, max values: 5.0, median values: -0.0781205202494517, and quantile values: 0.25 -0.834539\n0.50 -0.078121\n0.75 0.547898\nName: 15399, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2145320151182642, std values: 1.041508925641279, min values: -2.5399045531878324, max values: 4.0, median values: -0.1947673768000293, and quantile values: 0.25 -0.801725\n0.50 -0.194767\n0.75 0.531841\nName: 15400, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6344001469362197, std values: 0.7613800158633354, min values: -2.282927662046365, max values: 3.0, median values: -0.745144529830331, and quantile values: 0.25 -1.186455\n0.50 -0.745145\n0.75 -0.186330\nName: 15401, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3483924438231388, std values: 0.8590782855232054, min values: -2.475272102106495, max values: 4.0, median values: -0.3887040905834895, and quantile values: 0.25 -1.005457\n0.50 -0.388704\n0.75 0.192863\nName: 15402, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43280673394913727, std values: 0.9765905584782913, min values: -2.6270253558526173, max values: 4.0, median values: -0.4911906883134299, and quantile values: 0.25 -1.175834\n0.50 -0.491191\n0.75 0.232393\nName: 15403, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2804588196831327, std values: 1.0517538117469618, min values: -2.6800544037614658, max values: 4.0, median values: -0.385973101880582, and quantile values: 0.25 -0.983241\n0.50 -0.385973\n0.75 0.422797\nName: 15404, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19530722151526134, std values: 0.8578498398429053, min values: -2.2012167772695554, max values: 3.405671179043623, median values: 0.2117293803131153, and quantile values: 0.25 -0.392985\n0.50 0.211729\n0.75 0.746018\nName: 15405, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06723586806209066, std values: 1.5976648166059435, min values: -2.879968592907284, max values: 4.0, median values: 0.4313619258545632, and quantile values: 0.25 -1.488770\n0.50 0.431362\n0.75 1.337755\nName: 15406, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7683444528538554, std values: 1.240552672648051, min values: -3.0484008792629496, max values: 5.0, median values: -0.7862734265350687, and quantile values: 0.25 -1.912159\n0.50 -0.786273\n0.75 0.011534\nName: 15407, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.024121410998280197, std values: 1.0137288302923069, min values: -2.6270253558526173, max values: 4.0, median values: 0.0995235085046866, and quantile values: 0.25 -0.587895\n0.50 0.099524\n0.75 0.607518\nName: 15408, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20056962641585185, std values: 0.9353711539250286, min values: -2.0173333848714066, max values: 3.5021977227593246, median values: 0.2242452584322098, and quantile values: 0.25 -0.517428\n0.50 0.224245\n0.75 0.949072\nName: 15409, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6050543821201512, std values: 1.0174753605090536, min values: -2.949186837165601, max values: 4.0, median values: -0.68730286801478, and quantile values: 0.25 -1.437161\n0.50 -0.687303\n0.75 0.109467\nName: 15410, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.016518234345103765, std values: 0.7745899828729923, min values: -2.5825978442440407, max values: 6.0, median values: -0.0918071773028101, and quantile values: 0.25 -0.524938\n0.50 -0.091807\n0.75 0.443058\nName: 15411, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5600109238945234, std values: 0.8515295069350948, min values: -2.3808324358856225, max values: 3.9905524164385566, median values: 0.6232165264343333, and quantile values: 0.25 0.016663\n0.50 0.623217\n0.75 1.109505\nName: 15412, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5643409268296936, std values: 1.0066550044157492, min values: -2.2191327111709698, max values: 5.0, median values: 0.4430886643688268, and quantile values: 0.25 -0.150647\n0.50 0.443089\n0.75 1.269333\nName: 15413, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16830783712215083, std values: 0.9941134063897271, min values: -2.841647375415054, max values: 3.0838352979250487, median values: -0.2557444331698675, and quantile values: 0.25 -0.828378\n0.50 -0.255744\n0.75 0.466686\nName: 15414, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5375138233814354, std values: 1.1338836467792208, min values: -2.642042398333877, max values: 3.4566816047670264, median values: -0.3529784553529655, and quantile values: 0.25 -1.586953\n0.50 -0.352978\n0.75 0.263077\nName: 15415, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6673427851239222, std values: 1.2065532808630226, min values: -2.9265160609644223, max values: 6.0, median values: -0.5948506965091603, and quantile values: 0.25 -1.736456\n0.50 -0.594851\n0.75 0.142715\nName: 15416, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24336718285788309, std values: 0.7885663244429129, min values: -2.190951745805792, max values: 3.0, median values: 0.2987777131370645, and quantile values: 0.25 -0.261194\n0.50 0.298778\n0.75 0.807507\nName: 15417, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.015884421910356158, std values: 0.8114086885502942, min values: -2.6115251494731915, max values: 5.0, median values: -0.102374137953987, and quantile values: 0.25 -0.538451\n0.50 -0.102374\n0.75 0.496251\nName: 15418, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08960168514600236, std values: 0.8110545599530128, min values: -2.461308921153724, max values: 3.3760121766849016, median values: -0.0656091547816605, and quantile values: 0.25 -0.649461\n0.50 -0.065609\n0.75 0.426625\nName: 15419, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.742117888461053, std values: 1.02544411559635, min values: -2.6850842010492566, max values: 6.0, median values: 0.8869526890471082, and quantile values: 0.25 0.123687\n0.50 0.886953\n0.75 1.499304\nName: 15420, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0711599387634591, std values: 1.2283415375764777, min values: -2.815821936576896, max values: 3.528773265847577, median values: 0.2311307548933625, and quantile values: 0.25 -0.494954\n0.50 0.231131\n0.75 0.901917\nName: 15421, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2666790886074852, std values: 0.8749814434820915, min values: -2.2915911556076085, max values: 3.5427287984042666, median values: 0.3010862646582858, and quantile values: 0.25 -0.310234\n0.50 0.301086\n0.75 0.811471\nName: 15422, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35701963153913613, std values: 1.0258780463111166, min values: -2.9278427058120164, max values: 6.0, median values: -0.426772339919287, and quantile values: 0.25 -0.988210\n0.50 -0.426772\n0.75 0.324831\nName: 15423, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1640094735044703, std values: 1.016292938762339, min values: -2.8531572940820533, max values: 6.0, median values: 0.1425244266402109, and quantile values: 0.25 -0.431834\n0.50 0.142524\n0.75 0.765546\nName: 15424, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26637116283472856, std values: 0.7579966772018988, min values: -2.0683523803658423, max values: 2.748993280390363, median values: 0.3245566983525836, and quantile values: 0.25 -0.233490\n0.50 0.324557\n0.75 0.752360\nName: 15425, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.005485109444426076, std values: 0.8252088706819983, min values: -2.662750916816848, max values: 5.0, median values: 0.0109884070392376, and quantile values: 0.25 -0.625917\n0.50 0.010988\n0.75 0.640995\nName: 15426, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16931555473080914, std values: 0.9105196794892961, min values: -2.1296382068987767, max values: 6.0, median values: -0.1603114653748738, and quantile values: 0.25 -0.854135\n0.50 -0.160311\n0.75 0.414284\nName: 15427, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2572159184881703, std values: 0.8961281284224476, min values: -2.4536054974529624, max values: 6.0, median values: -0.263968749598964, and quantile values: 0.25 -0.912510\n0.50 -0.263969\n0.75 0.289924\nName: 15428, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4397058620252137, std values: 0.7671446508974319, min values: -2.688157591415518, max values: 5.0, median values: 0.49043166938006, and quantile values: 0.25 -0.044105\n0.50 0.490432\n0.75 0.950023\nName: 15429, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3911627806546577, std values: 0.8024665749114623, min values: -2.143127839894852, max values: 5.0, median values: -0.4922162628912621, and quantile values: 0.25 -0.939994\n0.50 -0.492216\n0.75 0.061313\nName: 15430, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4632029268176968, std values: 0.8965975282056248, min values: -2.309056383746169, max values: 3.224152805256112, median values: 0.3935634967302244, and quantile values: 0.25 -0.134220\n0.50 0.393563\n0.75 1.027849\nName: 15431, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32391384196995726, std values: 0.874729422683868, min values: -2.0933077918561027, max values: 3.0148736195915853, median values: -0.4101667813003123, and quantile values: 0.25 -1.030702\n0.50 -0.410167\n0.75 0.264888\nName: 15432, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2265711017470343, std values: 0.8460204434869174, min values: -2.013555225015544, max values: 3.867701659180865, median values: -0.3374889189237124, and quantile values: 0.25 -0.855804\n0.50 -0.337489\n0.75 0.309446\nName: 15433, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28842737719433215, std values: 0.8859998046042198, min values: -2.9472833478224456, max values: 6.0, median values: -0.3590226906399642, and quantile values: 0.25 -0.854445\n0.50 -0.359023\n0.75 0.294678\nName: 15434, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35300486231661393, std values: 1.0928227144688965, min values: -2.9029979285382743, max values: 3.0, median values: -0.1807561312306355, and quantile values: 0.25 -0.966411\n0.50 -0.180756\n0.75 0.419574\nName: 15435, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0772705265198177, std values: 0.7958998696506812, min values: -2.8843374390620142, max values: 6.0, median values: 0.0078467360041378, and quantile values: 0.25 -0.455960\n0.50 0.007847\n0.75 0.578395\nName: 15436, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25089899019125633, std values: 0.8311239351282018, min values: -2.90140378513671, max values: 3.5581019918925243, median values: 0.3223900569545163, and quantile values: 0.25 -0.299732\n0.50 0.322390\n0.75 0.760719\nName: 15437, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07068191387944485, std values: 0.8870152729319521, min values: -2.580492024304656, max values: 4.0, median values: 0.0138029888921501, and quantile values: 0.25 -0.507832\n0.50 0.013803\n0.75 0.586422\nName: 15438, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13386491873343814, std values: 0.7502456634765657, min values: -2.446475285346346, max values: 3.155379154255993, median values: 0.0869408568292449, and quantile values: 0.25 -0.346801\n0.50 0.086941\n0.75 0.606172\nName: 15439, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40323074835973305, std values: 0.8555818363730162, min values: -2.212080438910391, max values: 4.0, median values: -0.4114525513156145, and quantile values: 0.25 -1.037376\n0.50 -0.411453\n0.75 0.129298\nName: 15440, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1718473020686252, std values: 0.8369447931462223, min values: -2.0604662602729085, max values: 4.0, median values: -0.2475233843133545, and quantile values: 0.25 -0.752981\n0.50 -0.247523\n0.75 0.356116\nName: 15441, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42053970361000914, std values: 1.413553300280667, min values: -3.24173864501462, max values: 3.496479817235339, median values: 0.3758459543200286, and quantile values: 0.25 -0.693799\n0.50 0.375846\n0.75 1.614108\nName: 15442, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35243687348781577, std values: 0.8470028879275346, min values: -2.6002473957635144, max values: 3.0, median values: -0.4467676269160296, and quantile values: 0.25 -1.004861\n0.50 -0.446768\n0.75 0.171574\nName: 15443, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03373421544074352, std values: 0.7768122609139194, min values: -2.03754703245347, max values: 4.026668017837955, median values: 0.0091707197931628, and quantile values: 0.25 -0.596431\n0.50 0.009171\n0.75 0.505870\nName: 15444, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3446493094392792, std values: 0.9230246334571758, min values: -3.0148736195915964, max values: 3.528773265847577, median values: 0.3869226834850542, and quantile values: 0.25 -0.142310\n0.50 0.386923\n0.75 0.854802\nName: 15445, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.8693762568797978, std values: 1.056537673981375, min values: -3.05087304133376, max values: 5.0, median values: -2.10781213968935, and quantile values: 0.25 -2.371618\n0.50 -2.107812\n0.75 -1.849540\nName: 15446, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13334433295373382, std values: 0.82403093004755, min values: -2.0185991952196947, max values: 5.0, median values: -0.1644065889036423, and quantile values: 0.25 -0.773953\n0.50 -0.164407\n0.75 0.424119\nName: 15447, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.010387073523568196, std values: 0.9491537736808616, min values: -2.801183634509044, max values: 5.0, median values: -0.0122002183359659, and quantile values: 0.25 -0.717650\n0.50 -0.012200\n0.75 0.673763\nName: 15448, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09629694121394267, std values: 0.8128405319047645, min values: -2.2889362156285724, max values: 3.598076523509904, median values: -0.0010464940872536, and quantile values: 0.25 -0.474265\n0.50 -0.001046\n0.75 0.602031\nName: 15449, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3534314273286449, std values: 0.8886607343126203, min values: -1.979997573305296, max values: 3.5581019918925243, median values: -0.5055025771477425, and quantile values: 0.25 -1.030749\n0.50 -0.505503\n0.75 0.201179\nName: 15450, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06267959133480547, std values: 0.8801277922424815, min values: -2.4125199145038643, max values: 4.0, median values: -0.0893184536030902, and quantile values: 0.25 -0.728772\n0.50 -0.089318\n0.75 0.575776\nName: 15451, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05851431484592269, std values: 1.1897601270561562, min values: -2.769191083399913, max values: 3.0, median values: 0.0945368382506064, and quantile values: 0.25 -0.723720\n0.50 0.094537\n0.75 0.899098\nName: 15452, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2640232820768744, std values: 0.9658913881893804, min values: -2.088894678224596, max values: 3.0148736195915853, median values: 0.2896943241729597, and quantile values: 0.25 -0.479263\n0.50 0.289694\n0.75 1.061246\nName: 15453, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15515768338086844, std values: 0.814735233548806, min values: -2.688157591415518, max values: 5.0, median values: 0.1805601843931356, and quantile values: 0.25 -0.372960\n0.50 0.180560\n0.75 0.647422\nName: 15454, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11760531750367186, std values: 0.8624423091508866, min values: -2.157019117459074, max values: 4.0, median values: 0.0618199483892546, and quantile values: 0.25 -0.486721\n0.50 0.061820\n0.75 0.702272\nName: 15455, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17377180920254806, std values: 1.000646423245239, min values: -2.8282523283494294, max values: 3.0, median values: -0.1872543448151025, and quantile values: 0.25 -0.781550\n0.50 -0.187254\n0.75 0.543545\nName: 15456, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12381650875250358, std values: 0.8890454187861214, min values: -2.72346435408924, max values: 4.0, median values: 0.0659217515068384, and quantile values: 0.25 -0.560034\n0.50 0.065922\n0.75 0.731858\nName: 15457, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.038308401358754206, std values: 1.1486091264223484, min values: -2.643887016977268, max values: 6.0, median values: 0.1595765176690824, and quantile values: 0.25 -0.774480\n0.50 0.159577\n0.75 0.995554\nName: 15458, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.48388889394462886, std values: 0.9221627832699609, min values: -2.687115288423959, max values: 5.0, median values: 0.5966245523556111, and quantile values: 0.25 0.016616\n0.50 0.596625\n0.75 1.088590\nName: 15459, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16531441804246164, std values: 0.8862577654422169, min values: -2.6412681606926487, max values: 4.278004674434932, median values: 0.277098660350537, and quantile values: 0.25 -0.344101\n0.50 0.277099\n0.75 0.742309\nName: 15460, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.034715978021799904, std values: 0.9294781958793344, min values: -2.194609712555955, max values: 3.0, median values: 0.0366416795348687, and quantile values: 0.25 -0.654287\n0.50 0.036642\n0.75 0.744209\nName: 15461, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23341758437186824, std values: 0.960336743697501, min values: -2.521882829270847, max values: 4.0, median values: -0.2516412240039926, and quantile values: 0.25 -0.934568\n0.50 -0.251641\n0.75 0.371592\nName: 15462, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27323226640079556, std values: 0.7689255808069297, min values: -2.4176069991382847, max values: 6.0, median values: 0.2503622953147925, and quantile values: 0.25 -0.192891\n0.50 0.250362\n0.75 0.735508\nName: 15463, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7351223478961861, std values: 0.9190039039859944, min values: -2.279638670509252, max values: 6.0, median values: -0.9093249239380732, and quantile values: 0.25 -1.482925\n0.50 -0.909325\n0.75 -0.141307\nName: 15464, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13585065323638448, std values: 0.7070507763943635, min values: -1.8052259484053417, max values: 6.0, median values: 0.1737622715559834, and quantile values: 0.25 -0.322858\n0.50 0.173762\n0.75 0.563545\nName: 15465, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24597316558464127, std values: 0.8474473321336832, min values: -2.0424002644031765, max values: 5.0, median values: -0.344608219674384, and quantile values: 0.25 -0.922628\n0.50 -0.344608\n0.75 0.320648\nName: 15466, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44661310326719766, std values: 0.807187134325661, min values: -3.307038206418975, max values: 2.4853555353664367, median values: -0.5123544707118985, and quantile values: 0.25 -1.031018\n0.50 -0.512354\n0.75 0.095534\nName: 15467, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2584578456118547, std values: 0.9869265333183964, min values: -2.103766579362726, max values: 3.135426854633533, median values: 0.288709672324454, and quantile values: 0.25 -0.499220\n0.50 0.288710\n0.75 1.057684\nName: 15468, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24728102928407886, std values: 1.00414719945077, min values: -2.657750824678472, max values: 5.0, median values: -0.2684394386567496, and quantile values: 0.25 -1.052652\n0.50 -0.268439\n0.75 0.448716\nName: 15469, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.25080203818146324, std values: 1.0517969947451689, min values: -2.5399045531878324, max values: 4.0, median values: -0.2156964785806605, and quantile values: 0.25 -0.878901\n0.50 -0.215696\n0.75 0.423133\nName: 15470, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43829261329629465, std values: 0.7938225720475658, min values: -2.349293916724472, max values: 3.2071942083719924, median values: -0.5213223642876414, and quantile values: 0.25 -1.056816\n0.50 -0.521322\n0.75 0.073285\nName: 15471, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7060925718567025, std values: 0.9360223547563022, min values: -2.8246479422601736, max values: 6.0, median values: -0.6633641799389649, and quantile values: 0.25 -1.280199\n0.50 -0.663364\n0.75 -0.132132\nName: 15472, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0362811665830053, std values: 1.0118594970464925, min values: -2.724017888297919, max values: 3.760287110694155, median values: -0.1472773330070111, and quantile values: 0.25 -0.696627\n0.50 -0.147277\n0.75 0.630927\nName: 15473, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0548243735304304, std values: 0.7835090566512795, min values: -2.1154918763173005, max values: 3.124705982383484, median values: 0.0057195812652559, and quantile values: 0.25 -0.607353\n0.50 0.005720\n0.75 0.465895\nName: 15474, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18663804599613062, std values: 0.8806031060122906, min values: -2.486556664247513, max values: 3.867701659180865, median values: 0.316520311199241, and quantile values: 0.25 -0.320623\n0.50 0.316520\n0.75 0.767576\nName: 15475, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9296626271423047, std values: 0.8616724230842324, min values: -2.590643619371846, max values: 4.0, median values: -1.1114863972845443, and quantile values: 0.25 -1.555161\n0.50 -1.111486\n0.75 -0.437566\nName: 15476, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4646462044507945, std values: 0.8948201327905637, min values: -2.3146366029962464, max values: 3.047545592545638, median values: -0.6130921277310056, and quantile values: 0.25 -1.148244\n0.50 -0.613092\n0.75 0.076883\nName: 15477, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5046062869067557, std values: 0.8052548118262193, min values: -2.408685046935496, max values: 3.147276669305989, median values: -0.6286212989621295, and quantile values: 0.25 -1.124723\n0.50 -0.628621\n0.75 0.007847\nName: 15478, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1346129722917074, std values: 0.814407804116615, min values: -2.349293916724472, max values: 3.216771431244405, median values: 0.108006598418179, and quantile values: 0.25 -0.416783\n0.50 0.108007\n0.75 0.639167\nName: 15479, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19604936842089288, std values: 1.020882579135774, min values: -2.891990595045606, max values: 6.0, median values: 0.3483424455363823, and quantile values: 0.25 -0.306126\n0.50 0.348342\n0.75 0.873078\nName: 15480, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11495109561304853, std values: 0.7827854187441038, min values: -2.4176069991382847, max values: 6.0, median values: -0.1816239793333739, and quantile values: 0.25 -0.630465\n0.50 -0.181624\n0.75 0.361109\nName: 15481, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08282849614751746, std values: 0.7080680368536207, min values: -2.8998169811239416, max values: 3.0362913622068968, median values: -0.106475050916566, and quantile values: 0.25 -0.561775\n0.50 -0.106475\n0.75 0.342476\nName: 15482, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9779919673953672, std values: 1.3387349925471614, min values: -2.727901130262228, max values: 4.0, median values: -1.6842246352128796, and quantile values: 0.25 -2.140406\n0.50 -1.684225\n0.75 0.191825\nName: 15483, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.219385275304979, std values: 0.8540764811278597, min values: -2.589966702820638, max values: 6.0, median values: 0.2395502047298568, and quantile values: 0.25 -0.366735\n0.50 0.239550\n0.75 0.816116\nName: 15484, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09795543626319544, std values: 1.1214085256733541, min values: -2.6466193392086392, max values: 4.0, median values: 0.134771180185608, and quantile values: 0.25 -0.714971\n0.50 0.134771\n0.75 0.959577\nName: 15485, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5358255200718294, std values: 1.0635483505949452, min values: -2.7428415536925543, max values: 5.0, median values: 0.6748013302374151, and quantile values: 0.25 -0.116645\n0.50 0.674801\n0.75 1.354066\nName: 15486, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4874373306910639, std values: 1.011519074589622, min values: -2.601639132009086, max values: 6.0, median values: 0.3642853837868698, and quantile values: 0.25 -0.215961\n0.50 0.364285\n0.75 1.176683\nName: 15487, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08744376702754877, std values: 1.133602655992006, min values: -2.673549169958716, max values: 6.0, median values: -0.0829339105175446, and quantile values: 0.25 -0.764249\n0.50 -0.082934\n0.75 0.677050\nName: 15488, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30355163276762315, std values: 0.9668541304290965, min values: -2.6652153608723106, max values: 5.0, median values: 0.2892025139088649, and quantile values: 0.25 -0.234239\n0.50 0.289203\n0.75 0.881822\nName: 15489, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.45857919149849574, std values: 0.9690899701095328, min values: -2.5631847770497496, max values: 4.0, median values: 0.3661694607328545, and quantile values: 0.25 -0.204894\n0.50 0.366169\n0.75 1.103098\nName: 15490, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04558922330977009, std values: 0.7679483272440465, min values: -3.002493140275396, max values: 5.0, median values: 0.0478308340841952, and quantile values: 0.25 -0.485746\n0.50 0.047831\n0.75 0.530006\nName: 15491, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4140727039498585, std values: 0.827006086065676, min values: -2.4737574649270093, max values: 3.867701659180865, median values: 0.4621311791054982, and quantile values: 0.25 -0.178053\n0.50 0.462131\n0.75 1.061207\nName: 15492, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.010478217208384802, std values: 0.886813788929568, min values: -2.2204268746472464, max values: 5.0, median values: -0.0646854509747397, and quantile values: 0.25 -0.628161\n0.50 -0.064685\n0.75 0.548154\nName: 15493, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11139520065097283, std values: 0.8991438208082705, min values: -3.1070421433302986, max values: 3.518664430018096, median values: -0.1825694343603624, and quantile values: 0.25 -0.687896\n0.50 -0.182569\n0.75 0.451978\nName: 15494, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21340187648120604, std values: 0.9574203332723826, min values: -2.9029979285382743, max values: 6.0, median values: 0.2274668783222825, and quantile values: 0.25 -0.385380\n0.50 0.227467\n0.75 0.809750\nName: 15495, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22609279411757865, std values: 1.232351898511796, min values: -2.8531572940820533, max values: 3.477886732511886, median values: 0.4050323302700006, and quantile values: 0.25 -0.527785\n0.50 0.405032\n0.75 1.200829\nName: 15496, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1514379362813791, std values: 0.9250545233787646, min values: -2.5906203367024587, max values: 3.0, median values: 0.2330002813759221, and quantile values: 0.25 -0.295875\n0.50 0.233000\n0.75 0.734714\nName: 15497, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35430770448568877, std values: 0.8565149456088585, min values: -2.7314147016889114, max values: 3.5021977227593246, median values: -0.48869984207214, and quantile values: 0.25 -0.950455\n0.50 -0.488700\n0.75 0.126783\nName: 15498, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4229363981456803, std values: 1.7449955301309876, min values: -3.101800431129944, max values: 6.0, median values: -0.5478341943868024, and quantile values: 0.25 -2.036184\n0.50 -0.547834\n0.75 0.986013\nName: 15499, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42587259734156313, std values: 0.7819743664914514, min values: -1.9146617836401167, max values: 3.141939528112806, median values: 0.429972017583486, and quantile values: 0.25 -0.067717\n0.50 0.429972\n0.75 0.930060\nName: 15500, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.061548018745742006, std values: 1.270780225581449, min values: -2.9666813816765707, max values: 4.0, median values: 0.2483276653994138, and quantile values: 0.25 -0.759510\n0.50 0.248328\n0.75 0.862127\nName: 15501, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.242201647504171, std values: 0.8559098034998155, min values: -2.679056533720636, max values: 5.0, median values: 0.3202498059039539, and quantile values: 0.25 -0.214437\n0.50 0.320250\n0.75 0.797767\nName: 15502, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01176727041059541, std values: 0.8114006321326097, min values: -2.4705236352348297, max values: 3.096891534584617, median values: 0.0086267011286228, and quantile values: 0.25 -0.584922\n0.50 0.008627\n0.75 0.483500\nName: 15503, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4384117611533566, std values: 0.9400620445936381, min values: -2.7257183488872623, max values: 5.0, median values: -0.4977750129841156, and quantile values: 0.25 -1.078040\n0.50 -0.497775\n0.75 0.151632\nName: 15504, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3698624020594634, std values: 0.9137656010821192, min values: -2.5953860446419177, max values: 5.0, median values: -0.4184614638804602, and quantile values: 0.25 -1.080282\n0.50 -0.418461\n0.75 0.237652\nName: 15505, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7644373721586338, std values: 0.9565469360145749, min values: -2.161181455793125, max values: 6.0, median values: 0.8814465958650437, and quantile values: 0.25 0.097699\n0.50 0.881447\n0.75 1.514041\nName: 15506, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07955637045650181, std values: 0.8945039513049959, min values: -2.3051489257282016, max values: 5.0, median values: 0.1018514609581787, and quantile values: 0.25 -0.602030\n0.50 0.101851\n0.75 0.738073\nName: 15507, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19466489378513857, std values: 0.8755981541410088, min values: -2.4705236352348297, max values: 3.3636961113187773, median values: -0.2967090595189745, and quantile values: 0.25 -0.875190\n0.50 -0.296709\n0.75 0.407634\nName: 15508, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.004024037014347245, std values: 0.786434128375697, min values: -2.0314387868277453, max values: 5.0, median values: -0.0543618278884856, and quantile values: 0.25 -0.504752\n0.50 -0.054362\n0.75 0.478869\nName: 15509, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11715589320148559, std values: 1.1088242166561835, min values: -2.8246479422601736, max values: 5.0, median values: 0.0552856219506502, and quantile values: 0.25 -0.745506\n0.50 0.055286\n0.75 0.629325\nName: 15510, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24229665693457486, std values: 1.0386833253175218, min values: -2.769191083399913, max values: 3.784832159836258, median values: -0.0350571496938422, and quantile values: 0.25 -0.730428\n0.50 -0.035057\n0.75 0.446768\nName: 15511, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1629245442540358, std values: 0.7780448457864624, min values: -1.891493044811032, max values: 3.528773265847577, median values: 0.1018989758967874, and quantile values: 0.25 -0.374988\n0.50 0.101899\n0.75 0.647082\nName: 15512, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.021856190468657624, std values: 1.1247886630399615, min values: -2.9622221028070275, max values: 4.0, median values: -0.0052600330498898, and quantile values: 0.25 -0.672992\n0.50 -0.005260\n0.75 0.770169\nName: 15513, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20480585975349486, std values: 1.0812554296652424, min values: -2.92272757463548, max values: 6.0, median values: -0.0441047349945568, and quantile values: 0.25 -0.816182\n0.50 -0.044105\n0.75 0.496866\nName: 15514, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38459838974432176, std values: 0.8611854903414711, min values: -2.618746139350171, max values: 3.2696814875916886, median values: 0.4714872786568464, and quantile values: 0.25 -0.188124\n0.50 0.471487\n0.75 0.998947\nName: 15515, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28065105377646316, std values: 0.7983576228103632, min values: -2.1667085223812474, max values: 3.721862465295849, median values: -0.3454266085259998, and quantile values: 0.25 -0.830078\n0.50 -0.345427\n0.75 0.182954\nName: 15516, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1963528266421992, std values: 1.0973694113598422, min values: -2.6800544037614658, max values: 4.0, median values: -0.1560352023707842, and quantile values: 0.25 -0.877281\n0.50 -0.156035\n0.75 0.549857\nName: 15517, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2283523182870217, std values: 0.8576015528592206, min values: -2.0181768990626923, max values: 5.0, median values: -0.3376640608743042, and quantile values: 0.25 -0.862606\n0.50 -0.337664\n0.75 0.310686\nName: 15518, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06517957572487953, std values: 0.8557454271574275, min values: -2.6635706018350787, max values: 3.216771431244405, median values: 0.1125978700520706, and quantile values: 0.25 -0.554534\n0.50 0.112598\n0.75 0.697698\nName: 15519, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1047560969859297, std values: 1.1287497210011905, min values: -2.92272757463548, max values: 6.0, median values: 0.0340727218959582, and quantile values: 0.25 -0.557652\n0.50 0.034073\n0.75 0.656585\nName: 15520, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4734151660470626, std values: 1.0555266709858924, min values: -3.24173864501462, max values: 3.110498035652072, median values: -0.5377735823280684, and quantile values: 0.25 -1.242769\n0.50 -0.537774\n0.75 0.252494\nName: 15521, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24895246596385082, std values: 0.7992789730443205, min values: -1.864823782606703, max values: 5.0, median values: 0.1830741231833688, and quantile values: 0.25 -0.344678\n0.50 0.183074\n0.75 0.806619\nName: 15522, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23068388534280704, std values: 0.8377157466958705, min values: -2.537573835824454, max values: 6.0, median values: 0.2810031598070166, and quantile values: 0.25 -0.387635\n0.50 0.281003\n0.75 0.867245\nName: 15523, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31655265057447174, std values: 0.9043290256834713, min values: -2.815821936576896, max values: 3.784832159836258, median values: -0.2512717135285771, and quantile values: 0.25 -0.775725\n0.50 -0.251272\n0.75 0.216007\nName: 15524, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07700545889134781, std values: 0.8582185732738662, min values: -2.1307031986737024, max values: 5.0, median values: -0.0442345792412547, and quantile values: 0.25 -0.667253\n0.50 -0.044235\n0.75 0.491750\nName: 15525, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3349008222503428, std values: 1.022490286758949, min values: -2.5953860446419177, max values: 3.867701659180865, median values: 0.4903519659939495, and quantile values: 0.25 -0.326476\n0.50 0.490352\n0.75 1.076074\nName: 15526, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11422663934206118, std values: 0.7987991000941845, min values: -2.19583558726078, max values: 3.670892362631932, median values: 0.1739579824171802, and quantile values: 0.25 -0.436769\n0.50 0.173958\n0.75 0.672451\nName: 15527, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29771668651436983, std values: 0.747773089436703, min values: -2.507084845405409, max values: 3.135426854633533, median values: 0.3102646277850019, and quantile values: 0.25 -0.176279\n0.50 0.310265\n0.75 0.772356\nName: 15528, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07409247172969813, std values: 0.7542422412174323, min values: -2.279638670509252, max values: 6.0, median values: 0.0342656096561152, and quantile values: 0.25 -0.404594\n0.50 0.034266\n0.75 0.524369\nName: 15529, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3489896317630952, std values: 0.8595864034270783, min values: -2.1227739687253626, max values: 3.9048392686725855, median values: 0.3540924352895944, and quantile values: 0.25 -0.217162\n0.50 0.354092\n0.75 0.903942\nName: 15530, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10451777500950124, std values: 0.9188964167511058, min values: -2.0893830184081783, max values: 5.0, median values: -0.2301231907389442, and quantile values: 0.25 -0.801823\n0.50 -0.230123\n0.75 0.486757\nName: 15531, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.48778177308397225, std values: 0.9874173548581249, min values: -2.955641696055872, max values: 3.3337116327022187, median values: -0.4688476148977609, and quantile values: 0.25 -1.053475\n0.50 -0.468848\n0.75 0.132980\nName: 15532, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4219082107608303, std values: 0.9416618476086545, min values: -2.0437322601529133, max values: 5.0, median values: 0.4842427799332447, and quantile values: 0.25 -0.234395\n0.50 0.484243\n0.75 1.116454\nName: 15533, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29918528817081036, std values: 0.9133146101641468, min values: -1.9722354981657129, max values: 6.0, median values: 0.2409958424432008, and quantile values: 0.25 -0.415211\n0.50 0.240996\n0.75 0.968831\nName: 15534, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2856898240839726, std values: 0.870933043242445, min values: -1.9525921581657948, max values: 3.569037956734876, median values: 0.2318485071897702, and quantile values: 0.25 -0.298086\n0.50 0.231849\n0.75 0.862166\nName: 15535, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.048872068815336865, std values: 1.0175751226203467, min values: -2.8297583842718432, max values: 5.0, median values: 0.107139775177788, and quantile values: 0.25 -0.686331\n0.50 0.107140\n0.75 0.749658\nName: 15536, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.1704819418738133, std values: 1.307899247059083, min values: -3.101800431129944, max values: 6.0, median values: -1.7502835616381027, and quantile values: 0.25 -2.171804\n0.50 -1.750284\n0.75 -0.041210\nName: 15537, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1427671800848035, std values: 0.7549944505837904, min values: -1.9691636626304043, max values: 3.0838352979250487, median values: 0.0850685342223151, and quantile values: 0.25 -0.359691\n0.50 0.085069\n0.75 0.630433\nName: 15538, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2000369597741974, std values: 0.9752523550864673, min values: -2.4564928597243227, max values: 4.0, median values: 0.0902585722611451, and quantile values: 0.25 -0.477041\n0.50 0.090259\n0.75 0.835749\nName: 15539, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3000992022878494, std values: 1.0646922600610687, min values: -2.610097161345549, max values: 4.0, median values: -0.3707822122397495, and quantile values: 0.25 -1.037149\n0.50 -0.370782\n0.75 0.374760\nName: 15540, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17745055887564126, std values: 0.9672415430431917, min values: -2.947062251106049, max values: 3.9905524164385566, median values: -0.2532543641080033, and quantile values: 0.25 -0.898768\n0.50 -0.253254\n0.75 0.497009\nName: 15541, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2422220059390936, std values: 0.8822597323719888, min values: -2.981718296512785, max values: 5.0, median values: -0.2010821107255421, and quantile values: 0.25 -0.855054\n0.50 -0.201082\n0.75 0.343023\nName: 15542, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11136136926709042, std values: 0.7398625701506867, min values: -2.783691185534105, max values: 2.971200445600723, median values: 0.1352158423905847, and quantile values: 0.25 -0.357525\n0.50 0.135216\n0.75 0.552063\nName: 15543, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09762026140564353, std values: 0.9192872404326746, min values: -2.0305800740212328, max values: 3.630507857092792, median values: 0.1406651520572281, and quantile values: 0.25 -0.576866\n0.50 0.140665\n0.75 0.759069\nName: 15544, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.061971381544262474, std values: 0.8596553493741782, min values: -2.8282523283494294, max values: 4.0, median values: -0.1496267429386104, and quantile values: 0.25 -0.659799\n0.50 -0.149627\n0.75 0.504098\nName: 15545, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3356815096193097, std values: 0.8468402519588649, min values: -2.6117120822772133, max values: 5.0, median values: 0.4018000481573028, and quantile values: 0.25 -0.233025\n0.50 0.401800\n0.75 0.874371\nName: 15546, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10759035844453584, std values: 0.9007646124932668, min values: -2.4705236352348297, max values: 3.3636961113187773, median values: -0.2483736635203801, and quantile values: 0.25 -0.704451\n0.50 -0.248374\n0.75 0.415623\nName: 15547, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12608463267234504, std values: 0.7630750394165956, min values: -2.15085577507779, max values: 6.0, median values: 0.1539447959395573, and quantile values: 0.25 -0.379513\n0.50 0.153945\n0.75 0.600700\nName: 15548, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09100408105461019, std values: 0.7762078381000445, min values: -2.6115251494731915, max values: 3.0651860794139534, median values: 0.1505752665346978, and quantile values: 0.25 -0.439865\n0.50 0.150575\n0.75 0.629197\nName: 15549, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44180106794584606, std values: 0.9284110182452848, min values: -2.4564928597243227, max values: 4.243835016543704, median values: 0.4340402967853752, and quantile values: 0.25 -0.216009\n0.50 0.434040\n0.75 1.192377\nName: 15550, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06243012295534672, std values: 0.839650235334402, min values: -1.9698108056807304, max values: 3.455472209455805, median values: -0.074397179662304, and quantile values: 0.25 -0.475559\n0.50 -0.074397\n0.75 0.541218\nName: 15551, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3440501439270722, std values: 0.9112391606453157, min values: -2.5293911731823453, max values: 3.760287110694155, median values: -0.3377777841638489, and quantile values: 0.25 -0.988389\n0.50 -0.337778\n0.75 0.287311\nName: 15552, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05329688373582594, std values: 0.7542236665214866, min values: -1.8398232687983416, max values: 3.2266531185902125, median values: -0.1014238368451224, and quantile values: 0.25 -0.553314\n0.50 -0.101424\n0.75 0.388053\nName: 15553, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07476575781977912, std values: 1.0312134267187947, min values: -2.7825548156447035, max values: 6.0, median values: -0.0898714549646809, and quantile values: 0.25 -0.944738\n0.50 -0.089871\n0.75 0.706816\nName: 15554, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3697180111344271, std values: 0.9728478359925038, min values: -2.63315074164461, max values: 6.0, median values: -0.382809191674947, and quantile values: 0.25 -1.146567\n0.50 -0.382809\n0.75 0.325304\nName: 15555, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14765011957077648, std values: 0.974932888437321, min values: -2.2161166709808824, max values: 6.0, median values: -0.2505612128305913, and quantile values: 0.25 -0.872274\n0.50 -0.250561\n0.75 0.487745\nName: 15556, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2642904171371722, std values: 1.018857568456681, min values: -2.6800544037614658, max values: 4.0, median values: 0.3628731745684781, and quantile values: 0.25 -0.402314\n0.50 0.362873\n0.75 1.016565\nName: 15557, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4646044380229459, std values: 1.0013696770707652, min values: -2.486556664247513, max values: 3.379902545505621, median values: 0.5042862602798109, and quantile values: 0.25 -0.085973\n0.50 0.504286\n0.75 1.136503\nName: 15558, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3529944548223285, std values: 0.9899816048704366, min values: -2.7510671817729784, max values: 6.0, median values: -0.3493171274987584, and quantile values: 0.25 -0.937708\n0.50 -0.349317\n0.75 0.239607\nName: 15559, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26337560489027906, std values: 0.848239084399536, min values: -2.7688682710567485, max values: 2.7428415536925512, median values: -0.2670782401116206, and quantile values: 0.25 -0.779242\n0.50 -0.267078\n0.75 0.292408\nName: 15560, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14025737123649576, std values: 0.9880500758622366, min values: -3.062179113294277, max values: 3.9048392686725855, median values: -0.2401737515797777, and quantile values: 0.25 -0.880117\n0.50 -0.240174\n0.75 0.578959\nName: 15561, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07303254517011383, std values: 0.8207657651656339, min values: -1.9123299810178933, max values: 3.0, median values: -0.1379121826960799, and quantile values: 0.25 -0.720475\n0.50 -0.137912\n0.75 0.482823\nName: 15562, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40611609557310846, std values: 0.9735057856408682, min values: -2.7211321814067784, max values: 3.071353155688046, median values: -0.3857357608832425, and quantile values: 0.25 -1.070213\n0.50 -0.385736\n0.75 0.272505\nName: 15563, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03880169558612205, std values: 0.8564273097898764, min values: -2.6466193392086392, max values: 4.0, median values: -0.0663197342249378, and quantile values: 0.25 -0.592681\n0.50 -0.066320\n0.75 0.529190\nName: 15564, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7080881004125114, std values: 0.889204659673786, min values: -3.1175233493066874, max values: 2.851152510140879, median values: -0.752464664148762, and quantile values: 0.25 -1.547638\n0.50 -0.752465\n0.75 -0.197410\nName: 15565, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39720817267315417, std values: 0.9295914840166316, min values: -2.6800544037614658, max values: 4.0, median values: -0.2961591244500693, and quantile values: 0.25 -0.925951\n0.50 -0.296159\n0.75 0.165916\nName: 15566, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2867488040750546, std values: 0.9770850340129247, min values: -2.099755160224712, max values: 5.0, median values: 0.2342537892415145, and quantile values: 0.25 -0.434689\n0.50 0.234254\n0.75 0.982718\nName: 15567, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2146007680902492, std values: 0.8301076517890081, min values: -2.117561035454381, max values: 5.0, median values: 0.2597025171247156, and quantile values: 0.25 -0.390220\n0.50 0.259703\n0.75 0.877200\nName: 15568, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04734634707662414, std values: 0.6888056087578832, min values: -2.0477799217050063, max values: 5.0, median values: -0.0374897851043095, and quantile values: 0.25 -0.500877\n0.50 -0.037490\n0.75 0.365724\nName: 15569, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11799356365400343, std values: 1.0240063948630496, min values: -2.6660404517971856, max values: 4.0, median values: -0.1012696481344162, and quantile values: 0.25 -0.804237\n0.50 -0.101270\n0.75 0.611033\nName: 15570, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0026250708149944467, std values: 1.1553484931206535, min values: -2.928515832252388, max values: 5.0, median values: 0.2317376551361729, and quantile values: 0.25 -0.627642\n0.50 0.231738\n0.75 0.804258\nName: 15571, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.515853081510591, std values: 0.9092616981536887, min values: -2.372995607737588, max values: 5.0, median values: 0.6235611327427321, and quantile values: 0.25 -0.106747\n0.50 0.623561\n0.75 1.188286\nName: 15572, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23515670090334692, std values: 0.84011804458682, min values: -2.8451834694312192, max values: 3.224152805256112, median values: 0.2563061379443404, and quantile values: 0.25 -0.337039\n0.50 0.256306\n0.75 0.734393\nName: 15573, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08250380807361828, std values: 0.8947783649059539, min values: -2.4860368126531567, max values: 3.8226908388056136, median values: 0.0152849138923804, and quantile values: 0.25 -0.480063\n0.50 0.015285\n0.75 0.653175\nName: 15574, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21137545976790215, std values: 0.8424026367264557, min values: -1.820399034005966, max values: 3.867701659180865, median values: 0.156577908549368, and quantile values: 0.25 -0.425295\n0.50 0.156578\n0.75 0.823226\nName: 15575, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.080051226881882, std values: 0.8989639599626649, min values: -2.801183634509044, max values: 5.0, median values: 0.0086030657471084, and quantile values: 0.25 -0.473522\n0.50 0.008603\n0.75 0.687229\nName: 15576, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4306569044119445, std values: 1.0498960227732999, min values: -2.769191083399913, max values: 3.098911021393695, median values: -0.3151499960758852, and quantile values: 0.25 -1.046904\n0.50 -0.315150\n0.75 0.302066\nName: 15577, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2600499530836644, std values: 0.9074759753314328, min values: -2.867984306888309, max values: 3.379902545505621, median values: -0.3920921708727797, and quantile values: 0.25 -0.885403\n0.50 -0.392092\n0.75 0.343901\nName: 15578, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17978735921079425, std values: 0.9201848094905966, min values: -2.93129584560762, max values: 6.0, median values: 0.2040494140540462, and quantile values: 0.25 -0.317263\n0.50 0.204049\n0.75 0.764439\nName: 15579, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34401667998366225, std values: 0.8738756485923788, min values: -2.12073996675014, max values: 3.528773265847577, median values: 0.3322394444089006, and quantile values: 0.25 -0.264203\n0.50 0.332239\n0.75 0.952410\nName: 15580, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46481116131727684, std values: 1.0712177067435495, min values: -2.8282523283494294, max values: 3.670892362631932, median values: -0.5545662393511381, and quantile values: 0.25 -1.277468\n0.50 -0.554566\n0.75 0.244454\nName: 15581, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7991699670979323, std values: 1.4103310133988058, min values: -2.9029979285382743, max values: 3.721862465295849, median values: -0.8220814490790088, and quantile values: 0.25 -2.126599\n0.50 -0.822081\n0.75 0.345134\nName: 15582, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29273492556565117, std values: 0.8300968359080586, min values: -2.0781412119265164, max values: 4.243835016543704, median values: -0.4020562757073059, and quantile values: 0.25 -0.878334\n0.50 -0.402056\n0.75 0.223976\nName: 15583, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3688320935798282, std values: 0.9845236063071859, min values: -2.196181211030292, max values: 3.721862465295849, median values: 0.2215044235833198, and quantile values: 0.25 -0.298728\n0.50 0.221504\n0.75 0.998429\nName: 15584, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10576285126698952, std values: 0.7243806541664973, min values: -2.5759052915632985, max values: 3.3636961113187773, median values: 0.0588129002399109, and quantile values: 0.25 -0.364285\n0.50 0.058813\n0.75 0.580749\nName: 15585, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13449800601799006, std values: 1.1900820251623219, min values: -2.919359491767569, max values: 5.0, median values: -0.2591892039052367, and quantile values: 0.25 -1.096004\n0.50 -0.259189\n0.75 0.787925\nName: 15586, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1857618926766308, std values: 0.9073559013286331, min values: -2.14258071674473, max values: 3.4217036547572275, median values: -0.2495953436974948, and quantile values: 0.25 -0.925380\n0.50 -0.249595\n0.75 0.482345\nName: 15587, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03549076508391252, std values: 1.0311984645311798, min values: -2.657870006553045, max values: 3.4566816047670264, median values: 0.0997372773747087, and quantile values: 0.25 -0.616619\n0.50 0.099737\n0.75 0.708637\nName: 15588, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3358021695955802, std values: 0.8829112962823429, min values: -2.8282523283494294, max values: 4.0, median values: -0.4214276486176775, and quantile values: 0.25 -0.929013\n0.50 -0.421428\n0.75 0.203085\nName: 15589, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06418803168988813, std values: 0.7508431106851107, min values: -1.9844958671694384, max values: 5.0, median values: -0.0708682510934086, and quantile values: 0.25 -0.583122\n0.50 -0.070868\n0.75 0.400164\nName: 15590, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36226395800161826, std values: 0.7794531382585473, min values: -2.5213149333948146, max values: 3.9905524164385566, median values: 0.3886743903706393, and quantile values: 0.25 -0.151077\n0.50 0.388674\n0.75 0.856112\nName: 15591, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2517737367845627, std values: 1.0305787087682805, min values: -2.842989614395848, max values: 5.0, median values: 0.3373388054911829, and quantile values: 0.25 -0.455090\n0.50 0.337339\n0.75 1.078239\nName: 15592, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4218004325520563, std values: 0.7890355917335602, min values: -2.10832026762241, max values: 5.0, median values: 0.4515587843598491, and quantile values: 0.25 -0.059926\n0.50 0.451559\n0.75 0.927855\nName: 15593, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41966880602469664, std values: 1.0132505507922493, min values: -2.5046447434119337, max values: 4.0, median values: -0.563710750565378, and quantile values: 0.25 -1.258177\n0.50 -0.563711\n0.75 0.295875\nName: 15594, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0008904718352428629, std values: 1.0460550816470102, min values: -2.5213149333948146, max values: 3.867701659180865, median values: -0.0498894922021847, and quantile values: 0.25 -0.820775\n0.50 -0.049889\n0.75 0.740280\nName: 15595, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4676335863352947, std values: 0.8998041944167569, min values: -2.873069976951463, max values: 3.0, median values: -0.5109536040002229, and quantile values: 0.25 -1.109802\n0.50 -0.510954\n0.75 0.109885\nName: 15596, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5892627439070395, std values: 1.0063794767772356, min values: -3.0687217584296813, max values: 3.215720519334646, median values: 0.7405352545338824, and quantile values: 0.25 0.052873\n0.50 0.740535\n0.75 1.338680\nName: 15597, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4636731261109385, std values: 1.1509074348246644, min values: -2.1429825027197715, max values: 6.0, median values: 0.3252792503545081, and quantile values: 0.25 -0.463261\n0.50 0.325279\n0.75 1.452181\nName: 15598, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1112995804754492, std values: 0.9022051838689119, min values: -2.769191083399913, max values: 3.155379154255993, median values: -0.0953200141863503, and quantile values: 0.25 -0.641863\n0.50 -0.095320\n0.75 0.422463\nName: 15599, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3138321678852501, std values: 0.7073899801711144, min values: -2.043510008966212, max values: 5.0, median values: 0.3074896946952836, and quantile values: 0.25 -0.098723\n0.50 0.307490\n0.75 0.749950\nName: 15600, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2871028848854882, std values: 1.2212503170417235, min values: -2.679056533720636, max values: 5.0, median values: 0.5756925359173183, and quantile values: 0.25 -0.397302\n0.50 0.575693\n0.75 1.225445\nName: 15601, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2829773266778657, std values: 0.7875810652622209, min values: -1.9635987133231152, max values: 3.0, median values: 0.2938386780479118, and quantile values: 0.25 -0.237510\n0.50 0.293839\n0.75 0.810400\nName: 15602, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47192911716394365, std values: 1.1926624407843172, min values: -2.6466193392086392, max values: 4.0, median values: 0.42779021432974, and quantile values: 0.25 -0.401339\n0.50 0.427790\n0.75 1.351647\nName: 15603, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3525759816599327, std values: 1.0137226532095756, min values: -2.27710446206836, max values: 3.17157439250477, median values: -0.4477410694460788, and quantile values: 0.25 -1.196272\n0.50 -0.447741\n0.75 0.363815\nName: 15604, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7826040859500513, std values: 0.9012748792110391, min values: -2.506827530467421, max values: 4.0, median values: 0.8822136538063226, and quantile values: 0.25 0.188123\n0.50 0.882214\n0.75 1.427948\nName: 15605, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8244680112892849, std values: 0.8798800574085205, min values: -2.919359491767569, max values: 5.0, median values: -0.8306453983849481, and quantile values: 0.25 -1.464302\n0.50 -0.830645\n0.75 -0.249254\nName: 15606, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2286881902832591, std values: 0.7654669115834181, min values: -2.919359491767569, max values: 6.0, median values: 0.298752962454585, and quantile values: 0.25 -0.215574\n0.50 0.298753\n0.75 0.680032\nName: 15607, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1311251835361926, std values: 0.7741937867456501, min values: -2.4788285026914285, max values: 4.0, median values: 0.1353825976057113, and quantile values: 0.25 -0.375394\n0.50 0.135383\n0.75 0.604871\nName: 15608, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0874213269351541, std values: 0.8485411406393386, min values: -2.0446222759012818, max values: 4.0, median values: -0.0605132429630401, and quantile values: 0.25 -0.707241\n0.50 -0.060513\n0.75 0.504752\nName: 15609, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3191559523737257, std values: 0.9967258091956238, min values: -2.119621483749997, max values: 3.0, median values: 0.3295380137675904, and quantile values: 0.25 -0.458636\n0.50 0.329538\n0.75 1.117071\nName: 15610, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22428024083052267, std values: 0.9145208506257085, min values: -2.0407136277056424, max values: 5.0, median values: -0.3339132755121894, and quantile values: 0.25 -0.941604\n0.50 -0.333913\n0.75 0.390843\nName: 15611, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8402415400186312, std values: 0.9355054088682728, min values: -2.196708653609315, max values: 6.0, median values: 0.8660067020103478, and quantile values: 0.25 0.183808\n0.50 0.866007\n0.75 1.605255\nName: 15612, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49478117180475584, std values: 0.9834254725983145, min values: -2.0023899940804872, max values: 3.071353155688046, median values: 0.436976667440606, and quantile values: 0.25 -0.249481\n0.50 0.436977\n0.75 1.239556\nName: 15613, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11403670091182251, std values: 0.8296079151544614, min values: -2.6002473957635144, max values: 6.0, median values: -0.1893987438842911, and quantile values: 0.25 -0.738037\n0.50 -0.189399\n0.75 0.416602\nName: 15614, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16463298434749093, std values: 0.9238478012301202, min values: -2.137685238195388, max values: 3.397048482165858, median values: 0.1564254868260324, and quantile values: 0.25 -0.443453\n0.50 0.156425\n0.75 0.762780\nName: 15615, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03559633200387394, std values: 0.8608132911800015, min values: -2.2423374092797945, max values: 3.3636961113187773, median values: -0.1492606784489493, and quantile values: 0.25 -0.660506\n0.50 -0.149261\n0.75 0.494888\nName: 15616, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21834073269955853, std values: 0.9768421489052843, min values: -2.5201815750705507, max values: 4.0, median values: -0.2895228986043566, and quantile values: 0.25 -0.931782\n0.50 -0.289523\n0.75 0.438961\nName: 15617, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1642438692361627, std values: 0.8885468457623744, min values: -2.90140378513671, max values: 3.434669824302974, median values: -0.1787737332361074, and quantile values: 0.25 -0.707301\n0.50 -0.178774\n0.75 0.305902\nName: 15618, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2567287750809291, std values: 0.869623974039951, min values: -3.3690402064071137, max values: 3.3760121766849016, median values: 0.2828371278826716, and quantile values: 0.25 -0.258725\n0.50 0.282837\n0.75 0.808527\nName: 15619, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32281549023319644, std values: 0.7790308549075267, min values: -2.0160707986177697, max values: 3.3636961113187773, median values: 0.3196101249886176, and quantile values: 0.25 -0.170688\n0.50 0.319610\n0.75 0.834461\nName: 15620, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11648336615711884, std values: 0.8080815984833645, min values: -2.590643619371846, max values: 4.0, median values: 0.1317883399950375, and quantile values: 0.25 -0.311332\n0.50 0.131788\n0.75 0.634032\nName: 15621, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1698017965963522, std values: 0.8651691872154103, min values: -2.1017566422541964, max values: 3.0, median values: -0.2609983265889418, and quantile values: 0.25 -0.819035\n0.50 -0.260998\n0.75 0.442365\nName: 15622, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.1162205847736035, std values: 1.269300513114084, min values: -2.727901130262228, max values: 4.0, median values: -1.6877491624678858, and quantile values: 0.25 -2.140874\n0.50 -1.687749\n0.75 -0.142223\nName: 15623, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04159737031077761, std values: 0.8077367793169759, min values: -2.688157591415518, max values: 5.0, median values: -0.0519720282083977, and quantile values: 0.25 -0.629090\n0.50 -0.051972\n0.75 0.472940\nName: 15624, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.017534879988255744, std values: 0.7664026859367059, min values: -2.0884920198234647, max values: 3.709787027503053, median values: -0.0801594630866052, and quantile values: 0.25 -0.526234\n0.50 -0.080159\n0.75 0.502001\nName: 15625, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3924720308283918, std values: 0.7567478746310335, min values: -2.226424194672579, max values: 4.0, median values: 0.4522516917737452, and quantile values: 0.25 -0.078734\n0.50 0.452252\n0.75 0.902486\nName: 15626, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6003179036655613, std values: 1.2160741461025095, min values: -2.860922438481449, max values: 3.5427287984042666, median values: 0.5226223861237123, and quantile values: 0.25 -0.232471\n0.50 0.522622\n0.75 1.541646\nName: 15627, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12767138597630479, std values: 0.8365289510521627, min values: -2.536941606705235, max values: 4.026668017837955, median values: 0.0947943978876561, and quantile values: 0.25 -0.486171\n0.50 0.094794\n0.75 0.684508\nName: 15628, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06810740422699886, std values: 0.8329460584598947, min values: -2.09776205448632, max values: 6.0, median values: -0.0516316036173899, and quantile values: 0.25 -0.685853\n0.50 -0.051632\n0.75 0.527886\nName: 15629, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.48811001691796463, std values: 0.8436898666278144, min values: -2.203573059693468, max values: 3.9905524164385566, median values: 0.5887460501930004, and quantile values: 0.25 -0.085697\n0.50 0.588746\n0.75 1.124723\nName: 15630, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.003146780801540626, std values: 0.9279921352353317, min values: -2.9472833478224456, max values: 6.0, median values: 0.0508124070630518, and quantile values: 0.25 -0.509826\n0.50 0.050812\n0.75 0.572794\nName: 15631, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2905807205833594, std values: 0.9618353927212749, min values: -2.7428415536925543, max values: 5.0, median values: -0.1624664540661478, and quantile values: 0.25 -0.840053\n0.50 -0.162466\n0.75 0.358788\nName: 15632, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3434114207418955, std values: 0.8833176804989987, min values: -2.082109659827605, max values: 3.5908526919299577, median values: 0.4286968603068453, and quantile values: 0.25 -0.315303\n0.50 0.428697\n0.75 0.984224\nName: 15633, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5011856657886963, std values: 0.933601308106992, min values: -2.6404955031131814, max values: 5.0, median values: 0.6458267496369131, and quantile values: 0.25 0.015340\n0.50 0.645827\n0.75 1.098507\nName: 15634, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04485227927492948, std values: 0.7688918646840393, min values: -2.2398683045325223, max values: 3.0, median values: -0.0160561093606061, and quantile values: 0.25 -0.569205\n0.50 -0.016056\n0.75 0.442147\nName: 15635, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15653679305807133, std values: 1.1110688681540093, min values: -2.5682675825126706, max values: 5.0, median values: 0.178964874632662, and quantile values: 0.25 -0.786048\n0.50 0.178965\n0.75 1.032305\nName: 15636, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12178933791771154, std values: 0.919587527241769, min values: -2.8327898928872086, max values: 4.0, median values: 0.2188545542062925, and quantile values: 0.25 -0.465000\n0.50 0.218855\n0.75 0.723358\nName: 15637, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26184715582657725, std values: 0.7784137601828923, min values: -2.7230534645798463, max values: 3.0, median values: -0.3349509962736485, and quantile values: 0.25 -0.756533\n0.50 -0.334951\n0.75 0.209725\nName: 15638, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20303463758650306, std values: 1.056780371580084, min values: -2.783691185534105, max values: 3.379902545505621, median values: 0.0430021171338594, and quantile values: 0.25 -0.589500\n0.50 0.043002\n0.75 0.885118\nName: 15639, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17967466938358506, std values: 0.7877145581093764, min values: -2.6313905370571384, max values: 3.0133870328644305, median values: 0.2031696715456687, and quantile values: 0.25 -0.328720\n0.50 0.203170\n0.75 0.704883\nName: 15640, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2575307699379416, std values: 0.9718077288095718, min values: -2.144224014725033, max values: 4.0, median values: 0.2523519177002559, and quantile values: 0.25 -0.370915\n0.50 0.252352\n0.75 0.864769\nName: 15641, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20663200131017612, std values: 1.0689100312634041, min values: -2.955641696055872, max values: 3.867701659180865, median values: -0.3492000425544824, and quantile values: 0.25 -0.882842\n0.50 -0.349200\n0.75 0.513918\nName: 15642, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22087665764434136, std values: 0.8793938923973762, min values: -2.5039074859839925, max values: 4.0, median values: -0.3255284455794922, and quantile values: 0.25 -0.876310\n0.50 -0.325528\n0.75 0.376142\nName: 15643, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14395072557938757, std values: 0.841415266762612, min values: -2.8998169811239416, max values: 3.1227871431249503, median values: -0.2438452223024182, and quantile values: 0.25 -0.733898\n0.50 -0.243845\n0.75 0.411170\nName: 15644, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2981108237560731, std values: 0.7814438482395971, min values: -2.0600063421362025, max values: 3.3014869995452325, median values: 0.3067102305954512, and quantile values: 0.25 -0.177566\n0.50 0.306710\n0.75 0.783126\nName: 15645, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7288228337685454, std values: 0.8389308369879029, min values: -2.5445249319512966, max values: 3.2936960268109283, median values: 0.7508255749309857, and quantile values: 0.25 0.216965\n0.50 0.750826\n0.75 1.307268\nName: 15646, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2906940106631183, std values: 0.7896649275988296, min values: -2.374446373878101, max values: 4.0, median values: -0.3038725517407907, and quantile values: 0.25 -0.855000\n0.50 -0.303873\n0.75 0.192889\nName: 15647, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31371556731489675, std values: 0.8157859857301973, min values: -2.5774281843044924, max values: 4.243835016543704, median values: 0.3541745756432858, and quantile values: 0.25 -0.200612\n0.50 0.354175\n0.75 0.809966\nName: 15648, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31522012332134924, std values: 0.7838083031723291, min values: -2.1029383687967336, max values: 3.5908526919299577, median values: 0.3444024258273348, and quantile values: 0.25 -0.206995\n0.50 0.344402\n0.75 0.816941\nName: 15649, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22106947991609788, std values: 0.7992489637333572, min values: -2.0073596275557293, max values: 3.0, median values: -0.3140860868251375, and quantile values: 0.25 -0.767763\n0.50 -0.314086\n0.75 0.251073\nName: 15650, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6466007173985615, std values: 0.9684446900379204, min values: -2.5825978442440407, max values: 6.0, median values: 0.695603615705671, and quantile values: 0.25 -0.072243\n0.50 0.695604\n0.75 1.436241\nName: 15651, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4981233596477329, std values: 1.1213554398226568, min values: -2.944950884974346, max values: 3.0, median values: -0.5505173421969612, and quantile values: 0.25 -1.443852\n0.50 -0.550517\n0.75 0.322589\nName: 15652, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39857665861603175, std values: 1.178340839877008, min values: -2.1339127560970463, max values: 4.278004674434932, median values: 0.2482600571544553, and quantile values: 0.25 -0.517049\n0.50 0.248260\n0.75 1.220104\nName: 15653, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31593694003226447, std values: 1.1334558531787728, min values: -2.657750824678472, max values: 5.0, median values: -0.3915468215777095, and quantile values: 0.25 -1.143426\n0.50 -0.391547\n0.75 0.485267\nName: 15654, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07793295007804556, std values: 0.8730981153045815, min values: -2.475778245535816, max values: 4.0, median values: -0.1857691520246797, and quantile values: 0.25 -0.735291\n0.50 -0.185769\n0.75 0.490592\nName: 15655, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19892389415146736, std values: 1.2096169307904348, min values: -2.6820581866633817, max values: 3.405671179043623, median values: 0.0435012042753743, and quantile values: 0.25 -0.968265\n0.50 0.043501\n0.75 0.695453\nName: 15656, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1548743291461382, std values: 0.9595312241385036, min values: -2.5953860446419177, max values: 5.0, median values: 0.1189745238249982, and quantile values: 0.25 -0.443788\n0.50 0.118975\n0.75 0.802801\nName: 15657, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12743727165339722, std values: 0.8337576756557389, min values: -2.264034258932616, max values: 3.455472209455805, median values: -0.210376040049526, and quantile values: 0.25 -0.736808\n0.50 -0.210376\n0.75 0.381823\nName: 15658, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12769764757829435, std values: 0.8266407884842829, min values: -2.264034258932616, max values: 3.9905524164385566, median values: -0.2319050866007121, and quantile values: 0.25 -0.743149\n0.50 -0.231905\n0.75 0.435079\nName: 15659, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3994127391930446, std values: 0.8574421811542208, min values: -2.8451834694312192, max values: 3.0, median values: -0.5498832221463872, and quantile values: 0.25 -1.069417\n0.50 -0.549883\n0.75 0.166180\nName: 15660, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23736143045324432, std values: 1.0809995630421303, min values: -2.724017888297919, max values: 4.026668017837955, median values: 0.3957095669736226, and quantile values: 0.25 -0.298177\n0.50 0.395710\n0.75 1.017488\nName: 15661, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8390762781523818, std values: 1.0972547349993473, min values: -3.002493140275396, max values: 5.0, median values: 1.0102137757139809, and quantile values: 0.25 0.294678\n0.50 1.010214\n0.75 1.567603\nName: 15662, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1256958300573654, std values: 0.8075883179022358, min values: -2.4536054974529624, max values: 6.0, median values: 0.1240678241990118, and quantile values: 0.25 -0.392271\n0.50 0.124068\n0.75 0.611264\nName: 15663, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17675670024540807, std values: 0.8985199949340953, min values: -2.209283142861864, max values: 6.0, median values: 0.2719330758527294, and quantile values: 0.25 -0.453961\n0.50 0.271933\n0.75 0.770836\nName: 15664, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23125430267093425, std values: 0.8215769790894439, min values: -2.143127839894852, max values: 3.280245386470253, median values: 0.3126620057462183, and quantile values: 0.25 -0.331740\n0.50 0.312662\n0.75 0.795029\nName: 15665, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5198379110115153, std values: 0.808472432403931, min values: -2.11291809854392, max values: 6.0, median values: -0.6740749281847941, and quantile values: 0.25 -1.125229\n0.50 -0.674075\n0.75 -0.009336\nName: 15666, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10347173540735305, std values: 1.0346135197639852, min values: -3.074005993202373, max values: 3.477886732511886, median values: 0.1174769713786211, and quantile values: 0.25 -0.589668\n0.50 0.117477\n0.75 0.788977\nName: 15667, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06066542111631668, std values: 0.7398152435562487, min values: -2.8164291268114208, max values: 4.0, median values: -0.0228565557909343, and quantile values: 0.25 -0.563904\n0.50 -0.022857\n0.75 0.419424\nName: 15668, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5362363171165304, std values: 0.9470180752835363, min values: -2.5682675825126706, max values: 5.0, median values: 0.6656591408283329, and quantile values: 0.25 -0.172701\n0.50 0.665659\n0.75 1.269685\nName: 15669, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2215001663399834, std values: 1.0411523101922007, min values: -2.7257183488872623, max values: 5.0, median values: 0.3856845098923021, and quantile values: 0.25 -0.424581\n0.50 0.385685\n0.75 0.952113\nName: 15670, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3219034813732718, std values: 1.2401612758146425, min values: -2.9109251266226006, max values: 3.0, median values: -0.0794481665412351, and quantile values: 0.25 -1.151605\n0.50 -0.079448\n0.75 0.600106\nName: 15671, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24258541314085455, std values: 0.9745668688313098, min values: -2.469941537133514, max values: 4.0, median values: -0.3095980718768443, and quantile values: 0.25 -1.047648\n0.50 -0.309598\n0.75 0.433025\nName: 15672, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5646957175404933, std values: 0.8438740645714968, min values: -3.062179113294277, max values: 2.941870249647763, median values: -0.6803614519751002, and quantile values: 0.25 -1.238825\n0.50 -0.680361\n0.75 -0.020233\nName: 15673, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36548790120154706, std values: 0.9472989328328015, min values: -2.6635706018350787, max values: 3.1395741599540568, median values: -0.5072138870988141, and quantile values: 0.25 -1.113173\n0.50 -0.507214\n0.75 0.317930\nName: 15674, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5618786448109695, std values: 0.8087820857140002, min values: -1.975766900365719, max values: 3.9905524164385566, median values: 0.6290562380274939, and quantile values: 0.25 0.030325\n0.50 0.629056\n0.75 1.094282\nName: 15675, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17109345158203576, std values: 1.0131207872965056, min values: -2.58513369695146, max values: 4.0, median values: -0.2944650726285181, and quantile values: 0.25 -0.932524\n0.50 -0.294465\n0.75 0.520959\nName: 15676, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09134999863771485, std values: 1.1605572375995412, min values: -3.12109453895821, max values: 3.5908526919299577, median values: 0.0483227548394441, and quantile values: 0.25 -0.727734\n0.50 0.048323\n0.75 0.834929\nName: 15677, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22325298245997194, std values: 0.9169094647729259, min values: -2.1073045553985543, max values: 6.0, median values: -0.3670885583173631, and quantile values: 0.25 -0.903053\n0.50 -0.367089\n0.75 0.358985\nName: 15678, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03106730727124273, std values: 0.8295980231930892, min values: -2.226424194672579, max values: 4.0, median values: 0.0144035587474256, and quantile values: 0.25 -0.635042\n0.50 0.014404\n0.75 0.534730\nName: 15679, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.343258776645379, std values: 0.9391252566304861, min values: -2.1952222375445194, max values: 3.9905524164385566, median values: 0.3604329341662791, and quantile values: 0.25 -0.279826\n0.50 0.360433\n0.75 0.937745\nName: 15680, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39960847913502384, std values: 1.2835006848756725, min values: -2.92272757463548, max values: 6.0, median values: 0.7037179530021598, and quantile values: 0.25 -0.190000\n0.50 0.703718\n0.75 1.242089\nName: 15681, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.007450115165553269, std values: 0.997526313780743, min values: -2.6404955031131814, max values: 5.0, median values: -0.0051774139856288, and quantile values: 0.25 -0.714849\n0.50 -0.005177\n0.75 0.682950\nName: 15682, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5147352579280102, std values: 0.8388658560834004, min values: -2.6115251494731915, max values: 3.0, median values: -0.6495517302520483, and quantile values: 0.25 -1.127352\n0.50 -0.649552\n0.75 -0.004278\nName: 15683, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.126261889439807, std values: 0.8373574741345522, min values: -2.100754849305273, max values: 2.971200445600723, median values: 0.0423183905561163, and quantile values: 0.25 -0.488673\n0.50 0.042318\n0.75 0.689397\nName: 15684, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06058013229543646, std values: 0.9410412951706986, min values: -2.622709665346679, max values: 3.0, median values: -0.0784296778111448, and quantile values: 0.25 -0.655902\n0.50 -0.078430\n0.75 0.551614\nName: 15685, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10969670276008252, std values: 0.7684770031552668, min values: -2.4960309093026924, max values: 3.045947208515846, median values: -0.1845644294643794, and quantile values: 0.25 -0.647452\n0.50 -0.184564\n0.75 0.372390\nName: 15686, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1850380973669564, std values: 1.1707257630835544, min values: -3.0223671288921072, max values: 3.784832159836258, median values: 0.0554650626078705, and quantile values: 0.25 -1.030616\n0.50 0.055465\n0.75 0.622692\nName: 15687, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28648314222839294, std values: 0.8803545708828787, min values: -2.6635706018350787, max values: 3.05919958255637, median values: -0.4125331239598214, and quantile values: 0.25 -0.985834\n0.50 -0.412533\n0.75 0.322510\nName: 15688, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2066530904999355, std values: 0.9037228152797931, min values: -2.169311742921253, max values: 6.0, median values: 0.111877323698929, and quantile values: 0.25 -0.431445\n0.50 0.111877\n0.75 0.796292\nName: 15689, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04728263778877405, std values: 0.7697149259261173, min values: -2.226424194672579, max values: 4.0, median values: 0.0214854174726652, and quantile values: 0.25 -0.453208\n0.50 0.021485\n0.75 0.545025\nName: 15690, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06611323916114499, std values: 0.8442593576322331, min values: -2.1632655041380184, max values: 6.0, median values: -0.1401645334832375, and quantile values: 0.25 -0.629514\n0.50 -0.140165\n0.75 0.462219\nName: 15691, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0012896684708443723, std values: 0.8657560302261889, min values: -2.5953860446419177, max values: 3.306454397423372, median values: -0.0200434017386397, and quantile values: 0.25 -0.467312\n0.50 -0.020043\n0.75 0.538047\nName: 15692, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32352618338042893, std values: 0.9770760434900893, min values: -2.673549169958716, max values: 6.0, median values: 0.4125171019740469, and quantile values: 0.25 -0.272247\n0.50 0.412517\n0.75 1.051419\nName: 15693, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08314983080452992, std values: 1.1220118535705854, min values: -2.618746139350171, max values: 3.280245386470253, median values: 0.1575686000359987, and quantile values: 0.25 -0.835360\n0.50 0.157569\n0.75 0.969058\nName: 15694, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03717738408162893, std values: 1.0550037227964186, min values: -2.6270253558526173, max values: 4.0, median values: -0.0493980709070935, and quantile values: 0.25 -0.771837\n0.50 -0.049398\n0.75 0.682011\nName: 15695, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4951976396310513, std values: 0.8879200163147108, min values: -2.919359491767569, max values: 5.0, median values: -0.6334955628767327, and quantile values: 0.25 -1.093033\n0.50 -0.633496\n0.75 0.053132\nName: 15696, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.004449014439510791, std values: 0.8035195152007342, min values: -2.321103531050575, max values: 4.0, median values: 0.0117702549913424, and quantile values: 0.25 -0.543041\n0.50 0.011770\n0.75 0.484257\nName: 15697, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40508231450387805, std values: 0.833931759564228, min values: -2.1795576641099137, max values: 5.0, median values: -0.3954251998194751, and quantile values: 0.25 -1.030327\n0.50 -0.395425\n0.75 0.113167\nName: 15698, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.005417717226878441, std values: 0.7847506227045705, min values: -2.2915911556076085, max values: 3.216771431244405, median values: 0.0069675025776892, and quantile values: 0.25 -0.527690\n0.50 0.006968\n0.75 0.496999\nName: 15699, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.258631297506528, std values: 1.0962250990692621, min values: -2.607565022042742, max values: 4.0, median values: 0.3141082752392743, and quantile values: 0.25 -0.497641\n0.50 0.314108\n0.75 1.143608\nName: 15700, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5507682878486491, std values: 1.0369529414082064, min values: -1.9683985994558373, max values: 3.197902420311553, median values: 0.5575877748169421, and quantile values: 0.25 -0.262201\n0.50 0.557588\n0.75 1.425966\nName: 15701, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18475741357715783, std values: 0.8708463984301189, min values: -2.6466193392086392, max values: 4.0, median values: 0.2723372380457714, and quantile values: 0.25 -0.309769\n0.50 0.272337\n0.75 0.777770\nName: 15702, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4559818536720205, std values: 1.0699434888520878, min values: -2.042843860363569, max values: 5.0, median values: 0.4072454406357376, and quantile values: 0.25 -0.365901\n0.50 0.407245\n0.75 1.319991\nName: 15703, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32967197353261635, std values: 1.0447285411306895, min values: -2.1718040213188234, max values: 4.278004674434932, median values: -0.5112498574872664, and quantile values: 0.25 -1.141086\n0.50 -0.511250\n0.75 0.325006\nName: 15704, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15453257409233684, std values: 0.9094226254687372, min values: -2.6800544037614658, max values: 4.0, median values: -0.1159263967147209, and quantile values: 0.25 -0.708850\n0.50 -0.115926\n0.75 0.381882\nName: 15705, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41265290769498714, std values: 0.8914007232550447, min values: -2.6652153608723106, max values: 5.0, median values: -0.4212887064250721, and quantile values: 0.25 -1.039743\n0.50 -0.421289\n0.75 0.159130\nName: 15706, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.004288096121210983, std values: 0.7565741281127559, min values: -1.9526678640320208, max values: 4.0, median values: -0.0160957925158488, and quantile values: 0.25 -0.507820\n0.50 -0.016096\n0.75 0.448734\nName: 15707, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20417797849608768, std values: 0.7994473871388164, min values: -2.6404955031131814, max values: 6.0, median values: 0.2515559493080273, and quantile values: 0.25 -0.344377\n0.50 0.251556\n0.75 0.714590\nName: 15708, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2634954828761151, std values: 1.1034577545940158, min values: -2.92272757463548, max values: 6.0, median values: -0.1333262115713888, and quantile values: 0.25 -0.830295\n0.50 -0.133326\n0.75 0.429345\nName: 15709, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3609476687254071, std values: 0.842559084754394, min values: -2.062772413318988, max values: 3.2906806286429298, median values: -0.4896067245312124, and quantile values: 0.25 -1.021935\n0.50 -0.489607\n0.75 0.208092\nName: 15710, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.46238726807263947, std values: 1.006332371035, min values: -2.5682675825126706, max values: 5.0, median values: -0.6195757155981467, and quantile values: 0.25 -1.266113\n0.50 -0.619576\n0.75 0.173877\nName: 15711, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2143347310998163, std values: 0.8098310531881755, min values: -2.075893982221889, max values: 3.0, median values: 0.2508169784921777, and quantile values: 0.25 -0.351156\n0.50 0.250817\n0.75 0.814798\nName: 15712, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34347709578884533, std values: 0.9033388154323071, min values: -2.579952672199424, max values: 6.0, median values: 0.3741260386415688, and quantile values: 0.25 -0.287995\n0.50 0.374126\n0.75 1.030736\nName: 15713, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03774193210640834, std values: 0.9452300112022302, min values: -2.610097161345549, max values: 4.0, median values: 0.0764132734166426, and quantile values: 0.25 -0.518154\n0.50 0.076413\n0.75 0.635986\nName: 15714, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.47008947325917705, std values: 0.8596792560763304, min values: -2.062772413318988, max values: 4.0, median values: -0.6239341941359988, and quantile values: 0.25 -1.146754\n0.50 -0.623934\n0.75 0.075944\nName: 15715, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4270511170239639, std values: 1.143430216621665, min values: -2.7542003929097176, max values: 5.0, median values: 0.5042862602798109, and quantile values: 0.25 -0.343299\n0.50 0.504286\n0.75 1.341814\nName: 15716, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4715399071190364, std values: 0.885214570173919, min values: -2.5879430435308, max values: 3.0876051304901218, median values: 0.6079058493392765, and quantile values: 0.25 -0.111264\n0.50 0.607906\n0.75 1.110414\nName: 15717, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.380071305310409, std values: 0.8881663994218745, min values: -2.0261424089339126, max values: 6.0, median values: 0.2743981206208685, and quantile values: 0.25 -0.208993\n0.50 0.274398\n0.75 0.923931\nName: 15718, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1367728432703803, std values: 0.9315375221915795, min values: -2.93129584560762, max values: 6.0, median values: -0.1240440071270457, and quantile values: 0.25 -0.776715\n0.50 -0.124044\n0.75 0.495514\nName: 15719, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18078222917658388, std values: 1.117347703686974, min values: -2.933035609461076, max values: 5.0, median values: 0.3971231593473251, and quantile values: 0.25 -0.346391\n0.50 0.397123\n0.75 0.930761\nName: 15720, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7153518614999033, std values: 1.5207513235074848, min values: -2.933035609461076, max values: 5.0, median values: -1.0506801948996476, and quantile values: 0.25 -1.995890\n0.50 -1.050680\n0.75 0.477121\nName: 15721, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07615026498693855, std values: 0.7325263275741053, min values: -2.0477799217050063, max values: 5.0, median values: -0.0779876991604106, and quantile values: 0.25 -0.560937\n0.50 -0.077988\n0.75 0.401687\nName: 15722, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1903500698367767, std values: 0.9049900931308192, min values: -2.7428415536925543, max values: 5.0, median values: 0.2740054819642918, and quantile values: 0.25 -0.344528\n0.50 0.274005\n0.75 0.865250\nName: 15723, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08135610581203026, std values: 0.8610211733819801, min values: -2.5563022890751474, max values: 4.0, median values: -0.004325127802032, and quantile values: 0.25 -0.501926\n0.50 -0.004325\n0.75 0.663879\nName: 15724, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6440490868356055, std values: 1.1299925111433324, min values: -2.8451834694312192, max values: 3.528773265847577, median values: 0.6523268404907383, and quantile values: 0.25 -0.240827\n0.50 0.652327\n0.75 1.608660\nName: 15725, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1649703584741044, std values: 0.9737861253089383, min values: -2.589966702820638, max values: 6.0, median values: 0.189440852700834, and quantile values: 0.25 -0.530169\n0.50 0.189441\n0.75 0.952968\nName: 15726, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1431954807032662, std values: 0.8236015926749264, min values: -2.000756945348453, max values: 3.096891534584617, median values: 0.1247347308384427, and quantile values: 0.25 -0.379099\n0.50 0.124735\n0.75 0.585006\nName: 15727, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12920985723386338, std values: 0.8444368183178952, min values: -2.650293449055281, max values: 5.0, median values: -0.1087740908607573, and quantile values: 0.25 -0.758734\n0.50 -0.108774\n0.75 0.495172\nName: 15728, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.041358142539214535, std values: 1.0444882479530357, min values: -3.307038206418975, max values: 3.670892362631932, median values: -0.0452625414849045, and quantile values: 0.25 -0.713772\n0.50 -0.045263\n0.75 0.697019\nName: 15729, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30839854618526535, std values: 0.961383116452793, min values: -2.8531572940820533, max values: 3.155379154255993, median values: 0.4147472305627816, and quantile values: 0.25 -0.256184\n0.50 0.414747\n0.75 0.973331\nName: 15730, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5372534215467112, std values: 0.8796173057487118, min values: -1.896126576059412, max values: 3.0, median values: 0.5650024877522118, and quantile values: 0.25 -0.088912\n0.50 0.565002\n0.75 1.226196\nName: 15731, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30416713009557006, std values: 1.1071089726202759, min values: -2.6404955031131814, max values: 5.0, median values: 0.4011595946307664, and quantile values: 0.25 -0.479819\n0.50 0.401160\n0.75 1.179238\nName: 15732, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3349314308766118, std values: 0.8461210569223735, min values: -2.841647375415054, max values: 2.633150741644612, median values: -0.2838118101010327, and quantile values: 0.25 -0.896338\n0.50 -0.283812\n0.75 0.207670\nName: 15733, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06131519498042405, std values: 0.8295955433463006, min values: -2.2038853164231766, max values: 3.0148736195915853, median values: 0.0462455693168791, and quantile values: 0.25 -0.487661\n0.50 0.046246\n0.75 0.602088\nName: 15734, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3303625200022125, std values: 0.9196056658642698, min values: -2.608390851963037, max values: 5.0, median values: -0.4178916672048544, and quantile values: 0.25 -0.926754\n0.50 -0.417892\n0.75 0.225884\nName: 15735, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4605157527717324, std values: 0.8289105027669113, min values: -2.1029383687967336, max values: 4.0, median values: 0.5286193592070471, and quantile values: 0.25 -0.093854\n0.50 0.528619\n0.75 1.070800\nName: 15736, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10964400375139284, std values: 0.8405735283760761, min values: -2.5445249319512966, max values: 3.867701659180865, median values: -0.1908429361733382, and quantile values: 0.25 -0.729601\n0.50 -0.190843\n0.75 0.447401\nName: 15737, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.061108822830873356, std values: 0.8735710001244683, min values: -2.58513369695146, max values: 4.0, median values: -0.0076103839003044, and quantile values: 0.25 -0.599738\n0.50 -0.007610\n0.75 0.483885\nName: 15738, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33578068180100423, std values: 0.870735983414799, min values: -2.1227739687253626, max values: 3.250922035035844, median values: 0.3949487846593499, and quantile values: 0.25 -0.210328\n0.50 0.394949\n0.75 0.921037\nName: 15739, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17090276134272397, std values: 1.0971400333380135, min values: -2.419133598913117, max values: 4.026668017837955, median values: 0.0640451197610817, and quantile values: 0.25 -0.604276\n0.50 0.064045\n0.75 0.871348\nName: 15740, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5395036296011141, std values: 0.8770398064948067, min values: -1.9918692121535213, max values: 3.1166497049712243, median values: 0.5367324640745161, and quantile values: 0.25 -0.103063\n0.50 0.536732\n0.75 1.241518\nName: 15741, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7182403758775323, std values: 1.0582485391234016, min values: -2.87684958111886, max values: 3.667275230673496, median values: 0.8244389730347336, and quantile values: 0.25 0.281522\n0.50 0.824439\n0.75 1.406225\nName: 15742, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05226610708237454, std values: 0.9316452700656775, min values: -2.855306289371099, max values: 6.0, median values: -0.0193815070142049, and quantile values: 0.25 -0.558231\n0.50 -0.019382\n0.75 0.657863\nName: 15743, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2543604343265502, std values: 0.8292755892976734, min values: -1.9890885222563244, max values: 3.280245386470253, median values: 0.2099411197574511, and quantile values: 0.25 -0.367544\n0.50 0.209941\n0.75 0.808222\nName: 15744, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1674575158694576, std values: 0.9676284157100091, min values: -2.687115288423959, max values: 5.0, median values: -0.0718160402227727, and quantile values: 0.25 -0.628956\n0.50 -0.071816\n0.75 0.436263\nName: 15745, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2035893624773427, std values: 0.8896698202116101, min values: -2.2045104753181644, max values: 4.0, median values: 0.1025153671252823, and quantile values: 0.25 -0.401903\n0.50 0.102515\n0.75 0.780620\nName: 15746, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7446963079484197, std values: 0.9729558257524178, min values: -2.1414883906350908, max values: 6.0, median values: 0.7987899532326617, and quantile values: 0.25 0.053700\n0.50 0.798790\n0.75 1.492647\nName: 15747, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4840408903783939, std values: 0.9882878313605016, min values: -2.12073996675014, max values: 3.3636961113187773, median values: 0.4881938925749947, and quantile values: 0.25 -0.254084\n0.50 0.488194\n0.75 1.228103\nName: 15748, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20774621178531524, std values: 0.808345087723066, min values: -2.482931728382393, max values: 3.434669824302974, median values: -0.3102337427618397, and quantile values: 0.25 -0.769021\n0.50 -0.310234\n0.75 0.285705\nName: 15749, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06622383900750056, std values: 0.8081744986298459, min values: -2.87684958111886, max values: 3.2696814875916886, median values: 0.1494874977774444, and quantile values: 0.25 -0.442147\n0.50 0.149487\n0.75 0.612926\nName: 15750, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0540501766819896, std values: 1.2998431450221033, min values: -2.727901130262228, max values: 4.0, median values: -1.6924813923394355, and quantile values: 0.25 -2.140874\n0.50 -1.692481\n0.75 0.034651\nName: 15751, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11471815624071169, std values: 0.715008210123027, min values: -1.8530812611870409, max values: 5.0, median values: -0.0968416840345824, and quantile values: 0.25 -0.619018\n0.50 -0.096842\n0.75 0.361962\nName: 15752, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1709282286973512, std values: 1.2220911413847955, min values: -2.9472833478224456, max values: 6.0, median values: 0.3631673250553845, and quantile values: 0.25 -0.563656\n0.50 0.363167\n0.75 1.136366\nName: 15753, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03364597389163958, std values: 0.9927830607757522, min values: -2.20684812774738, max values: 3.1995118554872866, median values: 0.0283652086037518, and quantile values: 0.25 -0.644504\n0.50 0.028365\n0.75 0.691669\nName: 15754, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15426501446504085, std values: 1.1596596971381776, min values: -2.7211321814067784, max values: 3.5427287984042666, median values: -0.0842620757892235, and quantile values: 0.25 -1.071051\n0.50 -0.084262\n0.75 0.749394\nName: 15755, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.029256424721337233, std values: 0.9362587909365492, min values: -2.8843374390620142, max values: 6.0, median values: -0.0185350189088204, and quantile values: 0.25 -0.623532\n0.50 -0.018535\n0.75 0.521275\nName: 15756, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08561312603724748, std values: 1.0201334452714166, min values: -2.196181211030292, max values: 3.197902420311553, median values: -0.0945730936049954, and quantile values: 0.25 -0.639529\n0.50 -0.094573\n0.75 0.679408\nName: 15757, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38884669419788437, std values: 0.8069321949781424, min values: -2.0110523292439657, max values: 6.0, median values: -0.5213223642876414, and quantile values: 0.25 -1.006868\n0.50 -0.521322\n0.75 0.124782\nName: 15758, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2149089702698317, std values: 0.8473757973268271, min values: -2.57895707818966, max values: 6.0, median values: 0.249180866375178, and quantile values: 0.25 -0.240457\n0.50 0.249181\n0.75 0.702272\nName: 15759, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4509004134623669, std values: 1.2124220129305663, min values: -2.6899145007874274, max values: 4.278004674434932, median values: 0.4935845016798311, and quantile values: 0.25 -0.409221\n0.50 0.493585\n0.75 1.390051\nName: 15760, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5558205929307997, std values: 0.8925388957386904, min values: -2.4536054974529624, max values: 6.0, median values: 0.4918121869187836, and quantile values: 0.25 -0.042726\n0.50 0.491812\n0.75 1.160868\nName: 15761, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06632956064052042, std values: 0.7787706694684776, min values: -2.87684958111886, max values: 3.1888787873512885, median values: -0.1229961254234461, and quantile values: 0.25 -0.590450\n0.50 -0.122996\n0.75 0.383156\nName: 15762, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19905193069255767, std values: 0.8002625195893076, min values: -2.058476652448415, max values: 2.837386543755614, median values: -0.2898092040406553, and quantile values: 0.25 -0.733094\n0.50 -0.289809\n0.75 0.250163\nName: 15763, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2518466593396946, std values: 0.9544716315393633, min values: -2.6466193392086392, max values: 4.0, median values: -0.1719814996899912, and quantile values: 0.25 -0.923786\n0.50 -0.171981\n0.75 0.448786\nName: 15764, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14314444822226163, std values: 0.9011216929613716, min values: -2.641174291463747, max values: 6.0, median values: 0.1490697796729752, and quantile values: 0.25 -0.352087\n0.50 0.149070\n0.75 0.694225\nName: 15765, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3403167548672198, std values: 1.0843090818528507, min values: -2.891990595045606, max values: 6.0, median values: 0.5178599347234798, and quantile values: 0.25 -0.203676\n0.50 0.517860\n0.75 1.080791\nName: 15766, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07824343609925109, std values: 0.910462858078835, min values: -2.6603025395856053, max values: 5.0, median values: 0.1710460962986172, and quantile values: 0.25 -0.523737\n0.50 0.171046\n0.75 0.728772\nName: 15767, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04455924349194134, std values: 0.8966410352777092, min values: -2.6652153608723106, max values: 3.0, median values: -0.095130363788993, and quantile values: 0.25 -0.595835\n0.50 -0.095130\n0.75 0.560131\nName: 15768, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1532010656286592, std values: 0.884962324857327, min values: -2.2038853164231766, max values: 3.528773265847577, median values: -0.2716014892371545, and quantile values: 0.25 -0.765516\n0.50 -0.271601\n0.75 0.359786\nName: 15769, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08457160158357593, std values: 0.8257244805058489, min values: -2.5682675825126706, max values: 5.0, median values: 0.1567214662041866, and quantile values: 0.25 -0.517273\n0.50 0.156721\n0.75 0.659662\nName: 15770, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11144899558143145, std values: 0.9768420838010353, min values: -2.799990485600992, max values: 5.0, median values: 0.0828864787631307, and quantile values: 0.25 -0.537856\n0.50 0.082886\n0.75 0.746206\nName: 15771, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.047308261780407014, std values: 0.7954305440658458, min values: -2.0221093080959105, max values: 3.5021977227593246, median values: 0.0505757581322623, and quantile values: 0.25 -0.476829\n0.50 0.050576\n0.75 0.540124\nName: 15772, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.467388152444559, std values: 1.0461985267972946, min values: -2.642042398333877, max values: 3.1290445144064547, median values: 0.5328639793194446, and quantile values: 0.25 -0.152607\n0.50 0.532864\n0.75 1.161549\nName: 15773, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.035715091211727334, std values: 0.7445543438152042, min values: -2.0933077918561027, max values: 3.0, median values: -0.0901756174180496, and quantile values: 0.25 -0.572513\n0.50 -0.090176\n0.75 0.448168\nName: 15774, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5410171923602436, std values: 0.8461494861566831, min values: -2.2477784840641744, max values: 4.0, median values: 0.6283850886907005, and quantile values: 0.25 0.033852\n0.50 0.628385\n0.75 1.114454\nName: 15775, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.09397651275956, std values: 1.153102406706165, min values: -2.9029979285382743, max values: 3.721862465295849, median values: -1.1487763610694977, and quantile values: 0.25 -2.089383\n0.50 -1.148776\n0.75 -0.359463\nName: 15776, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1253623149304766, std values: 0.8327305633790946, min values: -2.0019812311634992, max values: 4.0, median values: 0.1766426928002315, and quantile values: 0.25 -0.468756\n0.50 0.176643\n0.75 0.726554\nName: 15777, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4633523961537727, std values: 1.210442169137018, min values: -2.5293911731823453, max values: 3.1995118554872866, median values: -0.4007754014997829, and quantile values: 0.25 -1.462100\n0.50 -0.400775\n0.75 0.439749\nName: 15778, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.060702348367719136, std values: 0.9629987537069156, min values: -2.7871422803648627, max values: 2.7929140502360563, median values: 0.2112460001156512, and quantile values: 0.25 -0.436743\n0.50 0.211246\n0.75 0.661182\nName: 15779, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5279347129773264, std values: 0.7757310548029205, min values: -2.475778245535816, max values: 3.050873041333768, median values: 0.5636461884080829, and quantile values: 0.25 0.031486\n0.50 0.563646\n0.75 1.019544\nName: 15780, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3603142519597343, std values: 1.112384824237221, min values: -2.622709665346679, max values: 3.2696814875916886, median values: 0.41047530418776, and quantile values: 0.25 -0.458912\n0.50 0.410475\n0.75 1.213810\nName: 15781, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8695294553015904, std values: 1.0143897877104457, min values: -2.8327898928872086, max values: 4.026668017837955, median values: -1.0532284037457196, and quantile values: 0.25 -1.624324\n0.50 -1.053228\n0.75 -0.224867\nName: 15782, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0069196392914526415, std values: 1.1859441011473575, min values: -2.8350118695332047, max values: 5.0, median values: 0.0267438606584084, and quantile values: 0.25 -0.940316\n0.50 0.026744\n0.75 0.886932\nName: 15783, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1352768387987807, std values: 0.9100896082386452, min values: -2.007005291569869, max values: 6.0, median values: 0.0692616305684046, and quantile values: 0.25 -0.585507\n0.50 0.069262\n0.75 0.751410\nName: 15784, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2585389042285481, std values: 0.9083159123668164, min values: -2.045960343889241, max values: 3.569037956734876, median values: 0.3099736804442182, and quantile values: 0.25 -0.389655\n0.50 0.309974\n0.75 0.931126\nName: 15785, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03864051442664072, std values: 0.9122530423926629, min values: -3.242093130849769, max values: 3.1175233493066874, median values: 0.0402367811797117, and quantile values: 0.25 -0.646927\n0.50 0.040237\n0.75 0.597730\nName: 15786, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19742223068392434, std values: 1.000120851974171, min values: -2.8467638118011016, max values: 5.0, median values: 0.3745316345907503, and quantile values: 0.25 -0.253962\n0.50 0.374532\n0.75 0.837942\nName: 15787, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6251601304861751, std values: 0.9201031378475416, min values: -2.0360128381441656, max values: 5.0, median values: 0.7530908911057039, and quantile values: 0.25 -0.013109\n0.50 0.753091\n0.75 1.337177\nName: 15788, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33811702330327104, std values: 0.9933456242426787, min values: -2.610097161345549, max values: 4.0, median values: -0.3815857950491245, and quantile values: 0.25 -1.133881\n0.50 -0.381586\n0.75 0.334077\nName: 15789, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13483657646526195, std values: 0.7746310213679929, min values: -2.8843374390620142, max values: 6.0, median values: -0.092590307095305, and quantile values: 0.25 -0.666490\n0.50 -0.092590\n0.75 0.346041\nName: 15790, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14649506038070692, std values: 1.2342094933297512, min values: -2.769191083399913, max values: 4.278004674434932, median values: 0.2811177550623664, and quantile values: 0.25 -0.338715\n0.50 0.281118\n0.75 0.957519\nName: 15791, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1585960604396347, std values: 0.8416501104388453, min values: -2.9898739724800576, max values: 3.4217036547572275, median values: -0.2292466533451197, and quantile values: 0.25 -0.722468\n0.50 -0.229247\n0.75 0.394383\nName: 15792, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4818522238483127, std values: 0.9472904055408868, min values: -2.351037238186205, max values: 6.0, median values: -0.6086736673919144, and quantile values: 0.25 -1.252793\n0.50 -0.608674\n0.75 0.156291\nName: 15793, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2800186915875491, std values: 0.8462560446119345, min values: -2.222049826555007, max values: 3.477886732511886, median values: -0.3383647323262502, and quantile values: 0.25 -0.875987\n0.50 -0.338365\n0.75 0.256673\nName: 15794, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6524791116476397, std values: 1.0269834725531086, min values: -1.967443887800321, max values: 6.0, median values: 0.5394060899434434, and quantile values: 0.25 -0.110104\n0.50 0.539406\n0.75 1.378707\nName: 15795, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3268580034414158, std values: 0.9743984290903508, min values: -2.5743883495350026, max values: 5.0, median values: -0.3808263048366482, and quantile values: 0.25 -0.979353\n0.50 -0.380826\n0.75 0.315278\nName: 15796, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0965562908117167, std values: 0.8239101641068868, min values: -2.5682675825126706, max values: 5.0, median values: -0.1535639384157749, and quantile values: 0.25 -0.649325\n0.50 -0.153564\n0.75 0.423758\nName: 15797, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13912912661182256, std values: 1.016615319966877, min values: -2.8531572940820533, max values: 3.434669824302974, median values: -0.1777171632304017, and quantile values: 0.25 -0.917071\n0.50 -0.177717\n0.75 0.440412\nName: 15798, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.00886026025115192, std values: 0.7642474391786854, min values: -2.2161166709808824, max values: 6.0, median values: 0.0120074290227089, and quantile values: 0.25 -0.509826\n0.50 0.012007\n0.75 0.449995\nName: 15799, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1042855087911822, std values: 0.7758150136222337, min values: -2.5213149333948146, max values: 3.0, median values: -0.2031696715456688, and quantile values: 0.25 -0.632947\n0.50 -0.203170\n0.75 0.364433\nName: 15800, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2865899383833168, std values: 0.8527535672747604, min values: -2.6652153608723106, max values: 3.0, median values: -0.4154943060047297, and quantile values: 0.25 -0.933060\n0.50 -0.415494\n0.75 0.274668\nName: 15801, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.000455562344558164, std values: 0.9415704367234905, min values: -2.5906203367024587, max values: 3.9048392686725855, median values: -0.0013218874118069, and quantile values: 0.25 -0.702977\n0.50 -0.001322\n0.75 0.689118\nName: 15802, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30463732404791694, std values: 0.8393792014404208, min values: -2.5759052915632985, max values: 3.496479817235339, median values: -0.372453604881712, and quantile values: 0.25 -0.971961\n0.50 -0.372454\n0.75 0.279973\nName: 15803, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30926969935489, std values: 0.8133597022841124, min values: -2.011274058715068, max values: 5.0, median values: 0.3011150810781035, and quantile values: 0.25 -0.226081\n0.50 0.301115\n0.75 0.798958\nName: 15804, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.1074560363685972, std values: 1.2272250911858975, min values: -2.727901130262228, max values: 4.0, median values: -1.6942657901348734, and quantile values: 0.25 -2.140874\n0.50 -1.694266\n0.75 -0.073707\nName: 15805, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04366043724834123, std values: 0.7933164416277562, min values: -2.0433753720662127, max values: 5.0, median values: -0.0107956204121516, and quantile values: 0.25 -0.472663\n0.50 -0.010796\n0.75 0.523737\nName: 15806, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14075841120198312, std values: 0.7744600642881746, min values: -2.5213149333948146, max values: 3.9905524164385566, median values: 0.0852345766330032, and quantile values: 0.25 -0.362050\n0.50 0.085235\n0.75 0.622470\nName: 15807, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06823701869434058, std values: 0.7880708518975275, min values: -2.0424002644031765, max values: 3.667275230673496, median values: 0.1240201901254437, and quantile values: 0.25 -0.474818\n0.50 0.124020\n0.75 0.635982\nName: 15808, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03579158082450637, std values: 1.0102419171303159, min values: -2.7428415536925543, max values: 5.0, median values: 0.0006334042427108, and quantile values: 0.25 -0.638550\n0.50 0.000633\n0.75 0.588488\nName: 15809, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27611717537562297, std values: 0.8624108549927154, min values: -2.082109659827605, max values: 5.0, median values: -0.3710623685246779, and quantile values: 0.25 -0.935803\n0.50 -0.371062\n0.75 0.301691\nName: 15810, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34124586977361493, std values: 1.2183421487132455, min values: -2.769191083399913, max values: 3.2906806286429298, median values: 0.527967187140882, and quantile values: 0.25 -0.340368\n0.50 0.527967\n0.75 1.292712\nName: 15811, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07663106403655155, std values: 0.7612031120834808, min values: -2.0531592997310795, max values: 6.0, median values: 0.085637832280236, and quantile values: 0.25 -0.404569\n0.50 0.085638\n0.75 0.515259\nName: 15812, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04043397261451255, std values: 0.823501267233701, min values: -2.7428415536925543, max values: 5.0, median values: -0.0211780989996556, and quantile values: 0.25 -0.490405\n0.50 -0.021178\n0.75 0.524411\nName: 15813, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10393133765261572, std values: 0.7803424605805053, min values: -2.082591134335169, max values: 3.280245386470253, median values: 0.142723622465047, and quantile values: 0.25 -0.421557\n0.50 0.142724\n0.75 0.606570\nName: 15814, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4491385202592307, std values: 1.025822027154275, min values: -2.5293911731823453, max values: 3.260388056018088, median values: -0.3882062163834621, and quantile values: 0.25 -1.105327\n0.50 -0.388206\n0.75 0.220269\nName: 15815, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.48673359288154383, std values: 0.8874121605442501, min values: -2.7648443048846945, max values: 3.379902545505621, median values: -0.6382797609951378, and quantile values: 0.25 -1.151277\n0.50 -0.638280\n0.75 0.069068\nName: 15816, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08878763303481495, std values: 1.038332951152999, min values: -2.7211321814067784, max values: 3.0, median values: 0.2485470426463389, and quantile values: 0.25 -0.523421\n0.50 0.248547\n0.75 0.833292\nName: 15817, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10865731159826028, std values: 0.8509027701829346, min values: -1.9875529756599963, max values: 5.0, median values: 0.0322541272019909, and quantile values: 0.25 -0.504501\n0.50 0.032254\n0.75 0.687721\nName: 15818, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3483339726709881, std values: 0.9216660570540645, min values: -2.442256129120324, max values: 6.0, median values: 0.293443866315511, and quantile values: 0.25 -0.264228\n0.50 0.293444\n0.75 0.963209\nName: 15819, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21159119313764474, std values: 0.9621768169180532, min values: -2.8246479422601736, max values: 6.0, median values: -0.0520193611576586, and quantile values: 0.25 -0.716475\n0.50 -0.052019\n0.75 0.403060\nName: 15820, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3124973377744196, std values: 0.8314731036773334, min values: -2.190344926090362, max values: 5.0, median values: -0.4156231355448479, and quantile values: 0.25 -0.925743\n0.50 -0.415623\n0.75 0.209192\nName: 15821, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17788945674246667, std values: 0.8678524892493629, min values: -2.5859127503381347, max values: 3.0, median values: -0.2854586698377228, and quantile values: 0.25 -0.738398\n0.50 -0.285459\n0.75 0.361633\nName: 15822, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3650222936724165, std values: 1.0013138342992207, min values: -2.5859127503381347, max values: 3.135426854633533, median values: -0.5133248906797329, and quantile values: 0.25 -1.129541\n0.50 -0.513325\n0.75 0.330492\nName: 15823, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11709530523759537, std values: 0.7858524343631736, min values: -2.3937380876386865, max values: 4.0, median values: -0.1889361939467356, and quantile values: 0.25 -0.690131\n0.50 -0.188936\n0.75 0.384520\nName: 15824, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7181514334839361, std values: 1.0663220822409278, min values: -2.0272480867373126, max values: 3.169414082461771, median values: 0.6730383801864344, and quantile values: 0.25 -0.074897\n0.50 0.673038\n0.75 1.590459\nName: 15825, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19346760632158067, std values: 0.7716295521125887, min values: -2.1227739687253626, max values: 3.598076523509904, median values: 0.2306695676502986, and quantile values: 0.25 -0.347991\n0.50 0.230670\n0.75 0.713062\nName: 15826, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04772253567556059, std values: 0.8657310836115423, min values: -2.3771558481240653, max values: 4.0, median values: -0.1157301595430877, and quantile values: 0.25 -0.632618\n0.50 -0.115730\n0.75 0.471989\nName: 15827, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31178234796487964, std values: 0.918750825090346, min values: -1.974437260854475, max values: 3.405671179043623, median values: 0.1916851532798762, and quantile values: 0.25 -0.362461\n0.50 0.191685\n0.75 0.942120\nName: 15828, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2099458601102405, std values: 0.7747814268849311, min values: -2.065607809839877, max values: 5.0, median values: 0.2321879947953023, and quantile values: 0.25 -0.287232\n0.50 0.232188\n0.75 0.683881\nName: 15829, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19052488281845276, std values: 0.9694473214146881, min values: -2.5695487141177, max values: 4.0, median values: 0.2905581909401897, and quantile values: 0.25 -0.387697\n0.50 0.290558\n0.75 0.860791\nName: 15830, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31075115087792277, std values: 0.776282042529644, min values: -2.3171012314117907, max values: 6.0, median values: 0.3782101681115868, and quantile values: 0.25 -0.201299\n0.50 0.378210\n0.75 0.861129\nName: 15831, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2866060701287136, std values: 0.8698037314900406, min values: -2.079371595256712, max values: 3.103622965243153, median values: -0.414556946423556, and quantile values: 0.25 -0.952522\n0.50 -0.414557\n0.75 0.250790\nName: 15832, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3804654638103649, std values: 0.8189125769564861, min values: -2.8297583842718432, max values: 5.0, median values: -0.397361560993349, and quantile values: 0.25 -1.003903\n0.50 -0.397362\n0.75 0.193368\nName: 15833, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23420479234679162, std values: 0.7720909239548562, min values: -2.109016651938832, max values: 6.0, median values: -0.2374251750894064, and quantile values: 0.25 -0.778979\n0.50 -0.237425\n0.75 0.301029\nName: 15834, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.042967959238527635, std values: 0.8734959686395012, min values: -2.087919489660226, max values: 3.0, median values: 0.0568166172836655, and quantile values: 0.25 -0.546587\n0.50 0.056817\n0.75 0.644220\nName: 15835, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34599975344912554, std values: 0.8747824821345613, min values: -2.188529290408645, max values: 3.0, median values: -0.3821189925722232, and quantile values: 0.25 -1.055277\n0.50 -0.382119\n0.75 0.313192\nName: 15836, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3303107911736083, std values: 0.8302410372852045, min values: -2.0972650777209885, max values: 3.867701659180865, median values: -0.4487159690812116, and quantile values: 0.25 -0.902520\n0.50 -0.448716\n0.75 0.135508\nName: 15837, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2265206184891319, std values: 0.977359411189216, min values: -2.300042081328127, max values: 4.0, median values: 0.1218871984241126, and quantile values: 0.25 -0.452313\n0.50 0.121887\n0.75 0.862246\nName: 15838, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3974593474419956, std values: 0.8905734094701567, min values: -2.7428415536925543, max values: 5.0, median values: -0.4617592030991839, and quantile values: 0.25 -1.009225\n0.50 -0.461759\n0.75 0.150551\nName: 15839, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4605408228488066, std values: 1.2262385454126425, min values: -2.608390851963037, max values: 5.0, median values: 0.6068258232054197, and quantile values: 0.25 -0.335463\n0.50 0.606826\n0.75 1.427732\nName: 15840, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0983231345368187, std values: 0.8164018547409588, min values: -2.4536054974529624, max values: 6.0, median values: -0.1757476488228114, and quantile values: 0.25 -0.680171\n0.50 -0.175748\n0.75 0.411916\nName: 15841, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07907994323298737, std values: 1.0095178030835796, min values: -2.510124273981921, max values: 3.477886732511886, median values: 0.0990554233134016, and quantile values: 0.25 -0.515456\n0.50 0.099055\n0.75 0.721701\nName: 15842, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15523733358957129, std values: 0.7654369181512065, min values: -2.414039489297912, max values: 6.0, median values: 0.1477790882476567, and quantile values: 0.25 -0.313935\n0.50 0.147779\n0.75 0.615486\nName: 15843, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5752420881125275, std values: 1.080794437172906, min values: -2.8282523283494294, max values: 3.477886732511886, median values: -0.7141470639572106, and quantile values: 0.25 -1.382779\n0.50 -0.714147\n0.75 0.094727\nName: 15844, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03257173701988567, std values: 0.9863397637820395, min values: -2.0744709221036657, max values: 4.0, median values: -0.0951541055061967, and quantile values: 0.25 -0.755250\n0.50 -0.095154\n0.75 0.764402\nName: 15845, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33094905523231477, std values: 0.8349831853459205, min values: -2.285921622897844, max values: 3.9905524164385566, median values: -0.4188977266505224, and quantile values: 0.25 -0.928285\n0.50 -0.418898\n0.75 0.148875\nName: 15846, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34016324048073626, std values: 0.8162046351548845, min values: -2.693453432157769, max values: 3.0, median values: -0.3902489749414681, and quantile values: 0.25 -0.820576\n0.50 -0.390249\n0.75 0.152970\nName: 15847, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0366288345369031, std values: 0.76180713928799, min values: -2.147228856409125, max values: 3.1175233493066874, median values: -0.037067389632111, and quantile values: 0.25 -0.501068\n0.50 -0.037067\n0.75 0.538610\nName: 15848, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.506780702950492, std values: 0.8210092277290836, min values: -2.041957069977206, max values: 3.030805337148847, median values: 0.5875884898014243, and quantile values: 0.25 -0.026634\n0.50 0.587588\n0.75 1.071125\nName: 15849, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.35112332672273633, std values: 1.082701430306547, min values: -2.949186837165601, max values: 4.0, median values: -0.1989825141615068, and quantile values: 0.25 -0.970874\n0.50 -0.198983\n0.75 0.389557\nName: 15850, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12742443104691437, std values: 0.8467179019967649, min values: -2.4823451998031074, max values: 3.20751086257212, median values: -0.1703244308889808, and quantile values: 0.25 -0.628593\n0.50 -0.170324\n0.75 0.405810\nName: 15851, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08336260371699916, std values: 1.0334346743864316, min values: -2.632854336056873, max values: 3.670892362631932, median values: 0.1637119019862702, and quantile values: 0.25 -0.390962\n0.50 0.163712\n0.75 0.667316\nName: 15852, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.36841167391125496, std values: 0.7713646114336923, min values: -2.0876556857284605, max values: 6.0, median values: -0.4402954471810771, and quantile values: 0.25 -0.882269\n0.50 -0.440295\n0.75 0.050722\nName: 15853, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.061165246356186885, std values: 0.8140553700553758, min values: -2.153912257765272, max values: 3.1841025362512254, median values: -0.0722188700893925, and quantile values: 0.25 -0.639023\n0.50 -0.072219\n0.75 0.451032\nName: 15854, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34672918657048285, std values: 0.8176065213155302, min values: -2.2065783767301927, max values: 6.0, median values: -0.438745502894546, and quantile values: 0.25 -0.921868\n0.50 -0.438746\n0.75 0.153081\nName: 15855, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10361603956894973, std values: 0.8354203820298032, min values: -2.044329513480751, max values: 4.0, median values: 0.1299766664865142, and quantile values: 0.25 -0.494007\n0.50 0.129977\n0.75 0.646316\nName: 15856, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3107550691581512, std values: 0.9371217700702837, min values: -2.3997534600916453, max values: 2.767597764299235, median values: -0.3373404761251016, and quantile values: 0.25 -1.107452\n0.50 -0.337340\n0.75 0.357320\nName: 15857, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2095754560295017, std values: 0.8064162399137269, min values: -2.572123985342288, max values: 5.0, median values: -0.2524734901844384, and quantile values: 0.25 -0.707909\n0.50 -0.252473\n0.75 0.274251\nName: 15858, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0870885136789561, std values: 0.8064746249355944, min values: -2.710223074556336, max values: 4.0, median values: -0.1403759343097289, and quantile values: 0.25 -0.623877\n0.50 -0.140376\n0.75 0.428221\nName: 15859, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02246193108932988, std values: 1.0421369217704632, min values: -2.589966702820638, max values: 6.0, median values: -0.0234948588198796, and quantile values: 0.25 -0.893337\n0.50 -0.023495\n0.75 0.809473\nName: 15860, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.296547775141139, std values: 0.8604132561724853, min values: -2.222049826555007, max values: 3.630507857092792, median values: -0.4326317006608647, and quantile values: 0.25 -0.920931\n0.50 -0.432632\n0.75 0.241960\nName: 15861, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.517653876506623, std values: 0.8822025909074614, min values: -1.8536078631970416, max values: 3.0774992973297404, median values: 0.6016345118630633, and quantile values: 0.25 -0.097980\n0.50 0.601635\n0.75 1.166864\nName: 15862, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30562076121433657, std values: 1.246022812008462, min values: -2.928515832252388, max values: 5.0, median values: -0.0648038714388755, and quantile values: 0.25 -1.142609\n0.50 -0.064804\n0.75 0.531121\nName: 15863, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6016410736785547, std values: 1.033931711256223, min values: -2.5668911794391143, max values: 3.379902545505621, median values: -0.60966952153197, and quantile values: 0.25 -1.400548\n0.50 -0.609670\n0.75 0.098122\nName: 15864, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5511896401786792, std values: 1.014768903731615, min values: -2.39180940730784, max values: 4.0, median values: 0.5579028182835766, and quantile values: 0.25 -0.216852\n0.50 0.557903\n0.75 1.383189\nName: 15865, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6488644708658144, std values: 0.9341568478132793, min values: -2.2161166709808824, max values: 6.0, median values: 0.686062304927766, and quantile values: 0.25 -0.026248\n0.50 0.686062\n0.75 1.346378\nName: 15866, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4343162169846218, std values: 0.7692423619197029, min values: -2.179853905073574, max values: 6.0, median values: 0.4656316409981932, and quantile values: 0.25 -0.038592\n0.50 0.465632\n0.75 0.916144\nName: 15867, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.043844072578740546, std values: 0.9520933529084503, min values: -2.1775880058603043, max values: 3.5581019918925243, median values: -0.015410306823626, and quantile values: 0.25 -0.676791\n0.50 -0.015410\n0.75 0.677980\nName: 15868, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3128490575366748, std values: 0.8400613121560552, min values: -2.109338159609067, max values: 5.0, median values: -0.3135398845046468, and quantile values: 0.25 -0.942611\n0.50 -0.313540\n0.75 0.234701\nName: 15869, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14420072003287604, std values: 0.9060751075506471, min values: -2.1142893459860668, max values: 3.0, median values: -0.1834106082987206, and quantile values: 0.25 -0.827879\n0.50 -0.183411\n0.75 0.530319\nName: 15870, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1605289376703761, std values: 0.8322047969135603, min values: -2.5682675825126706, max values: 5.0, median values: 0.1028752710343917, and quantile values: 0.25 -0.384757\n0.50 0.102875\n0.75 0.701004\nName: 15871, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2457859646476433, std values: 0.8195148985598082, min values: -2.584593648802428, max values: 3.110498035652072, median values: -0.2408824409287418, and quantile values: 0.25 -0.794554\n0.50 -0.240882\n0.75 0.219701\nName: 15872, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23729499274382004, std values: 0.795715397487377, min values: -2.134181213648352, max values: 3.721862465295849, median values: 0.2286797419522296, and quantile values: 0.25 -0.247578\n0.50 0.228680\n0.75 0.732191\nName: 15873, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5208092201884957, std values: 0.89263518631405, min values: -2.8843374390620142, max values: 6.0, median values: 0.5947942800031852, and quantile values: 0.25 -0.066746\n0.50 0.594794\n0.75 1.202530\nName: 15874, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5524048734500294, std values: 0.8570246031544331, min values: -2.6122411453164007, max values: 4.0, median values: -0.5592614502956329, and quantile values: 0.25 -1.118923\n0.50 -0.559261\n0.75 -0.035230\nName: 15875, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19112875240396493, std values: 0.902292118455899, min values: -2.00361829438983, max values: 6.0, median values: -0.3071143738744237, and quantile values: 0.25 -0.859218\n0.50 -0.307114\n0.75 0.404763\nName: 15876, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.263154267243183, std values: 1.216619641804391, min values: -2.5201815750705507, max values: 4.278004674434932, median values: 0.1550317227519145, and quantile values: 0.25 -0.585736\n0.50 0.155032\n0.75 0.918241\nName: 15877, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3496026411535067, std values: 1.0722190163890803, min values: -2.149743899676465, max values: 6.0, median values: 0.4317820996595109, and quantile values: 0.25 -0.523056\n0.50 0.431782\n0.75 1.232941\nName: 15878, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05378835256592805, std values: 0.8765399413111404, min values: -2.0361839973702067, max values: 6.0, median values: -0.0588303511783986, and quantile values: 0.25 -0.537582\n0.50 -0.058830\n0.75 0.597085\nName: 15879, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4379298065786461, std values: 0.9566352076098019, min values: -2.044138536277291, max values: 3.569037956734876, median values: 0.3048633551475018, and quantile values: 0.25 -0.287197\n0.50 0.304863\n0.75 1.141402\nName: 15880, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19393253638662306, std values: 0.8478662349403697, min values: -2.57895707818966, max values: 6.0, median values: -0.1572478719291734, and quantile values: 0.25 -0.730860\n0.50 -0.157248\n0.75 0.310667\nName: 15881, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09149911593827251, std values: 0.8197316549248826, min values: -2.566149343918479, max values: 6.0, median values: -0.1877308147552975, and quantile values: 0.25 -0.692626\n0.50 -0.187731\n0.75 0.434404\nName: 15882, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0031463285232699893, std values: 0.8243108155255104, min values: -2.740813841730953, max values: 3.2936960268109283, median values: 0.0386748346399028, and quantile values: 0.25 -0.442053\n0.50 0.038675\n0.75 0.456618\nName: 15883, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01448130092493342, std values: 0.9510926904050397, min values: -2.62876542141649, max values: 3.9048392686725855, median values: -0.0429334461966461, and quantile values: 0.25 -0.812692\n0.50 -0.042933\n0.75 0.710614\nName: 15884, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3192111837608421, std values: 0.848457990696122, min values: -2.349293916724472, max values: 3.5908526919299577, median values: -0.4143168753378765, and quantile values: 0.25 -0.971026\n0.50 -0.414317\n0.75 0.233583\nName: 15885, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21502862488967142, std values: 0.8809169311796048, min values: -2.590643619371846, max values: 4.0, median values: -0.1501280495610347, and quantile values: 0.25 -0.715032\n0.50 -0.150128\n0.75 0.340743\nName: 15886, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.7100079405228946, std values: 1.1004449737146456, min values: -2.622408470084112, max values: 3.224152805256112, median values: 0.7735874582063283, and quantile values: 0.25 0.060044\n0.50 0.773587\n0.75 1.550747\nName: 15887, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6819973333322304, std values: 0.8627754230465361, min values: -2.537573835824454, max values: 6.0, median values: 0.7497383858380171, and quantile values: 0.25 0.113262\n0.50 0.749738\n0.75 1.299311\nName: 15888, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11484767965671687, std values: 0.919214141356302, min values: -1.9788256412357303, max values: 5.0, median values: -0.1743214631292726, and quantile values: 0.25 -0.821464\n0.50 -0.174321\n0.75 0.508258\nName: 15889, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6336927552698887, std values: 1.1784723745147416, min values: -2.5695487141177, max values: 4.0, median values: 0.7259405893869435, and quantile values: 0.25 -0.142779\n0.50 0.725941\n0.75 1.612961\nName: 15890, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2758752001738849, std values: 0.7895938170896724, min values: -2.034308917749128, max values: 3.4758930087721422, median values: 0.2334613120210036, and quantile values: 0.25 -0.219519\n0.50 0.233461\n0.75 0.751712\nName: 15891, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23883170384438812, std values: 0.7639142688297339, min values: -2.566149343918479, max values: 6.0, median values: -0.2820877104392618, and quantile values: 0.25 -0.745979\n0.50 -0.282088\n0.75 0.177734\nName: 15892, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2318529414400768, std values: 0.787881336602144, min values: -1.98078037474942, max values: 3.045947208515846, median values: 0.2559397995826582, and quantile values: 0.25 -0.286078\n0.50 0.255940\n0.75 0.734822\nName: 15893, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.015780655554592703, std values: 1.1042633881833792, min values: -2.9090251609554527, max values: 6.0, median values: 0.1444347497566059, and quantile values: 0.25 -0.556661\n0.50 0.144435\n0.75 0.695382\nName: 15894, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4292299873697188, std values: 0.9011514930524097, min values: -2.732564679617164, max values: 3.9905524164385566, median values: 0.4822118332928482, and quantile values: 0.25 -0.198623\n0.50 0.482212\n0.75 1.142563\nName: 15895, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3688797582421492, std values: 0.8828915671656391, min values: -2.620939317041317, max values: 2.924424129075884, median values: -0.4041058063624796, and quantile values: 0.25 -1.111651\n0.50 -0.404106\n0.75 0.294379\nName: 15896, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09650864678311194, std values: 1.0476200331983192, min values: -2.634919142586459, max values: 6.0, median values: -0.1712186331057174, and quantile values: 0.25 -0.792252\n0.50 -0.171219\n0.75 0.517619\nName: 15897, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19061743588842775, std values: 0.9552852164406364, min values: -2.161181455793125, max values: 6.0, median values: 0.1554295632153745, and quantile values: 0.25 -0.578903\n0.50 0.155430\n0.75 0.890877\nName: 15898, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16335514001114515, std values: 0.7257835364662623, min values: -2.537573835824454, max values: 6.0, median values: -0.2252360818392791, and quantile values: 0.25 -0.657097\n0.50 -0.225236\n0.75 0.267925\nName: 15899, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40798707138516854, std values: 0.795601372765918, min values: -2.5820330744015787, max values: 4.0, median values: -0.4713552175683075, and quantile values: 0.25 -0.936169\n0.50 -0.471355\n0.75 0.083479\nName: 15900, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.42524916760669285, std values: 0.797268898315239, min values: -1.9827427062268188, max values: 5.0, median values: 0.4495993722728912, and quantile values: 0.25 -0.070015\n0.50 0.449599\n0.75 0.950775\nName: 15901, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2323609845230148, std values: 0.808224319453646, min values: -2.45229857681487, max values: 3.0, median values: -0.3235105439451075, and quantile values: 0.25 -0.827213\n0.50 -0.323511\n0.75 0.268243\nName: 15902, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2590605118071535, std values: 1.1138678376966102, min values: -2.955641696055872, max values: 3.5581019918925243, median values: 0.3616968862403053, and quantile values: 0.25 -0.470816\n0.50 0.361697\n0.75 1.134404\nName: 15903, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2546076578726842, std values: 0.8786617389670361, min values: -2.657750824678472, max values: 5.0, median values: -0.2886850320869269, and quantile values: 0.25 -0.838715\n0.50 -0.288685\n0.75 0.290987\nName: 15904, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3402316886459157, std values: 0.7811627442305015, min values: -2.8121055320525654, max values: 5.0, median values: 0.3004091895504659, and quantile values: 0.25 -0.137512\n0.50 0.300409\n0.75 0.862916\nName: 15905, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06924432298408338, std values: 0.8099333794518208, min values: -2.6404955031131814, max values: 6.0, median values: 0.1177542759293161, and quantile values: 0.25 -0.491160\n0.50 0.117754\n0.75 0.607082\nName: 15906, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11184302355766629, std values: 0.9961410447536984, min values: -2.5689076212724418, max values: 5.0, median values: 0.1176635235693178, and quantile values: 0.25 -0.678932\n0.50 0.117664\n0.75 0.935070\nName: 15907, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5291775158449213, std values: 1.0722743145736804, min values: -2.5859127503381347, max values: 3.721862465295849, median values: 0.6985768364353383, and quantile values: 0.25 -0.140161\n0.50 0.698577\n0.75 1.351588\nName: 15908, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21471891025171239, std values: 0.8398530283115624, min values: -2.6466193392086392, max values: 4.0, median values: -0.263126361654272, and quantile values: 0.25 -0.753896\n0.50 -0.263126\n0.75 0.311108\nName: 15909, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6744155596172675, std values: 0.9132215899952418, min values: -2.1519703158873136, max values: 5.0, median values: 0.7350747003996438, and quantile values: 0.25 0.045676\n0.50 0.735075\n0.75 1.288828\nName: 15910, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15842855510240128, std values: 0.8551822363500272, min values: -2.7016525309724218, max values: 3.9905524164385566, median values: -0.2206809683064916, and quantile values: 0.25 -0.708701\n0.50 -0.220681\n0.75 0.322394\nName: 15911, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8907354626654672, std values: 0.869428601129615, min values: -2.044138536277291, max values: 3.132053530264631, median values: 1.017026447368091, and quantile values: 0.25 0.300712\n0.50 1.017026\n0.75 1.565507\nName: 15912, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3241325377423317, std values: 1.0563220376824636, min values: -2.6466193392086392, max values: 4.0, median values: -0.271773150794416, and quantile values: 0.25 -1.012850\n0.50 -0.271773\n0.75 0.356566\nName: 15913, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2796059218189887, std values: 1.1266043256119582, min values: -2.693453432157769, max values: 4.243835016543704, median values: 0.0970353671192404, and quantile values: 0.25 -0.546781\n0.50 0.097035\n0.75 1.054175\nName: 15914, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.022217174466743057, std values: 0.7744860678698662, min values: -2.5759052915632985, max values: 3.247416277295021, median values: -0.106613531248217, and quantile values: 0.25 -0.565319\n0.50 -0.106614\n0.75 0.467957\nName: 15915, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.006314173916174987, std values: 1.0647484959230489, min values: -2.657750824678472, max values: 5.0, median values: 0.0955966649121987, and quantile values: 0.25 -0.710766\n0.50 0.095597\n0.75 0.793376\nName: 15916, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10602150944039739, std values: 0.8982539221817512, min values: -3.062179113294277, max values: 3.5908526919299577, median values: -0.1787257030058633, and quantile values: 0.25 -0.787949\n0.50 -0.178726\n0.75 0.526329\nName: 15917, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7789004689271335, std values: 1.1838581662428012, min values: -3.0484008792629496, max values: 5.0, median values: -0.8301782920420744, and quantile values: 0.25 -1.826756\n0.50 -0.830178\n0.75 0.105423\nName: 15918, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02527861789798391, std values: 0.7847606950158142, min values: -2.8451834694312192, max values: 3.455472209455805, median values: 0.0132593455165139, and quantile values: 0.25 -0.581458\n0.50 0.013259\n0.75 0.529495\nName: 15919, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22376498427084004, std values: 1.3720675424693076, min values: -2.8467638118011016, max values: 5.0, median values: -0.4138716436632577, and quantile values: 0.25 -1.157259\n0.50 -0.413872\n0.75 0.614201\nName: 15920, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.015461466199988408, std values: 0.8346347920791856, min values: -2.842043939794492, max values: 3.191712471143802, median values: -0.1264975376995778, and quantile values: 0.25 -0.613060\n0.50 -0.126498\n0.75 0.553410\nName: 15921, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2881304485643617, std values: 0.8448288008190411, min values: -2.2423374092797945, max values: 3.4758930087721422, median values: 0.2294445657245274, and quantile values: 0.25 -0.326650\n0.50 0.229445\n0.75 0.856589\nName: 15922, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1615102090878042, std values: 0.8154736121463991, min values: -2.572123985342288, max values: 5.0, median values: 0.177593832120171, and quantile values: 0.25 -0.275797\n0.50 0.177594\n0.75 0.657507\nName: 15923, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1393122185709471, std values: 0.8300937486717807, min values: -2.5825978442440407, max values: 6.0, median values: -0.2637625570506744, and quantile values: 0.25 -0.737856\n0.50 -0.263763\n0.75 0.387843\nName: 15924, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01959829666662208, std values: 0.7893353754965908, min values: -3.101800431129944, max values: 6.0, median values: -0.0455831052686837, and quantile values: 0.25 -0.539024\n0.50 -0.045583\n0.75 0.554117\nName: 15925, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2250115872021317, std values: 1.0785227333871477, min values: -2.769191083399913, max values: 3.20751086257212, median values: -0.1420469273909411, and quantile values: 0.25 -0.733187\n0.50 -0.142047\n0.75 0.497664\nName: 15926, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.504962849720631, std values: 0.9013045496614873, min values: -2.091430750756192, max values: 3.247416277295021, median values: -0.6466072279694902, and quantile values: 0.25 -1.233345\n0.50 -0.646607\n0.75 0.073593\nName: 15927, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05700219109912091, std values: 1.0471382912849292, min values: -2.622408470084112, max values: 3.0, median values: 0.1259111692439425, and quantile values: 0.25 -0.591171\n0.50 0.125911\n0.75 0.777578\nName: 15928, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1391581739647955, std values: 0.8447533370156526, min values: -1.83524829742834, max values: 3.3014869995452325, median values: 0.1145658148027754, and quantile values: 0.25 -0.442365\n0.50 0.114566\n0.75 0.704777\nName: 15929, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4758263474890921, std values: 0.9978837021989934, min values: -2.6800544037614658, max values: 4.0, median values: 0.6347670705701729, and quantile values: 0.25 -0.103097\n0.50 0.634767\n0.75 1.183232\nName: 15930, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0037706143515173524, std values: 0.8066124760648734, min values: -2.139311372893009, max values: 3.867701659180865, median values: -0.0379858458493628, and quantile values: 0.25 -0.509951\n0.50 -0.037986\n0.75 0.462868\nName: 15931, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0984080241536035, std values: 0.8682563204727767, min values: -2.6652153608723106, max values: 5.0, median values: 0.1826879798499239, and quantile values: 0.25 -0.449203\n0.50 0.182688\n0.75 0.707568\nName: 15932, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21312766416030376, std values: 0.8839272666646717, min values: -2.087919489660226, max values: 3.306454397423372, median values: 0.2986788613770657, and quantile values: 0.25 -0.440993\n0.50 0.298679\n0.75 0.905045\nName: 15933, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15508742383711457, std values: 0.996355520722438, min values: -2.622408470084112, max values: 3.455472209455805, median values: 0.3050941575892808, and quantile values: 0.25 -0.451768\n0.50 0.305094\n0.75 0.865250\nName: 15934, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.028197485908326846, std values: 0.7912578977394922, min values: -2.0202919896885287, max values: 3.4758930087721422, median values: 0.0532310809524532, and quantile values: 0.25 -0.498724\n0.50 0.053231\n0.75 0.548506\nName: 15935, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17680507847878618, std values: 1.0317697815169125, min values: -2.414039489297912, max values: 6.0, median values: 0.1448383569802461, and quantile values: 0.25 -0.649971\n0.50 0.144838\n0.75 0.949216\nName: 15936, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5278792903032683, std values: 0.9747291303484801, min values: -2.6117120822772133, max values: 5.0, median values: 0.600775607406291, and quantile values: 0.25 -0.008400\n0.50 0.600776\n0.75 1.140083\nName: 15937, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2513095884509094, std values: 0.8751964445324358, min values: -2.0391990984927144, max values: 3.0, median values: 0.3114056255389689, and quantile values: 0.25 -0.407983\n0.50 0.311406\n0.75 0.925739\nName: 15938, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.004344968481772249, std values: 0.8987888001157641, min values: -2.134987510471223, max values: 3.2936960268109283, median values: -0.0556643563489302, and quantile values: 0.25 -0.669726\n0.50 -0.055664\n0.75 0.606128\nName: 15939, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15256243740153494, std values: 0.8530957556949907, min values: -2.589966702820638, max values: 6.0, median values: -0.1983094038551122, and quantile values: 0.25 -0.745269\n0.50 -0.198309\n0.75 0.356138\nName: 15940, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.354154831436325, std values: 0.9707119808507544, min values: -2.63315074164461, max values: 6.0, median values: -0.4006717225471504, and quantile values: 0.25 -1.116134\n0.50 -0.400672\n0.75 0.331615\nName: 15941, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28214293026219545, std values: 0.9119484969335103, min values: -1.947761146849983, max values: 3.5021977227593246, median values: 0.2619161749688484, and quantile values: 0.25 -0.345230\n0.50 0.261916\n0.75 0.831113\nName: 15942, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05144798668337016, std values: 0.8764607001987399, min values: -2.0905892697928663, max values: 3.155170554159904, median values: 0.0347065007639424, and quantile values: 0.25 -0.690550\n0.50 0.034707\n0.75 0.538196\nName: 15943, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03326104748487737, std values: 0.8363208945604756, min values: -2.710223074556336, max values: 4.0, median values: -0.0437614314035207, and quantile values: 0.25 -0.495421\n0.50 -0.043761\n0.75 0.484460\nName: 15944, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5677690826061971, std values: 0.8318227063186103, min values: -2.4657737907743, max values: 3.0, median values: -0.6124275949834157, and quantile values: 0.25 -1.204531\n0.50 -0.612428\n0.75 -0.066833\nName: 15945, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5022695179134722, std values: 0.8916480205687797, min values: -2.981718296512785, max values: 5.0, median values: -0.6538198721847903, and quantile values: 0.25 -1.134667\n0.50 -0.653820\n0.75 -0.014734\nName: 15946, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3811648284870697, std values: 0.9537175668372667, min values: -2.688157591415518, max values: 4.0, median values: 0.477571032308859, and quantile values: 0.25 -0.221648\n0.50 0.477571\n0.75 1.052406\nName: 15947, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05026294654418059, std values: 1.0908023298783622, min values: -2.590643619371846, max values: 4.0, median values: 0.1090788257895726, and quantile values: 0.25 -0.691365\n0.50 0.109079\n0.75 0.886708\nName: 15948, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1727016260050959, std values: 0.8366150541314166, min values: -3.074005993202373, max values: 2.928515832252385, median values: -0.1562908029170581, and quantile values: 0.25 -0.810170\n0.50 -0.156291\n0.75 0.472540\nName: 15949, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11536076898723141, std values: 0.9502493677564976, min values: -2.6850842010492566, max values: 6.0, median values: 0.0715316967488133, and quantile values: 0.25 -0.525254\n0.50 0.071532\n0.75 0.786789\nName: 15950, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1242808512377055, std values: 0.9233874480521758, min values: -2.862971749830789, max values: 3.627976272701048, median values: -0.1910352302486617, and quantile values: 0.25 -0.741077\n0.50 -0.191035\n0.75 0.429247\nName: 15951, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.562534450039008, std values: 0.9048165718415356, min values: -1.9014723792311985, max values: 3.2266531185902125, median values: 0.6323405349361364, and quantile values: 0.25 -0.092021\n0.50 0.632341\n0.75 1.224381\nName: 15952, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1521917760140144, std values: 0.7945370940741194, min values: -2.156806272086999, max values: 3.349054967837474, median values: -0.1515075865648112, and quantile values: 0.25 -0.697019\n0.50 -0.151508\n0.75 0.343848\nName: 15953, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31637185880499724, std values: 0.9472940745076581, min values: -2.576018450691392, max values: 4.0, median values: -0.3810230931060409, and quantile values: 0.25 -0.946993\n0.50 -0.381023\n0.75 0.337014\nName: 15954, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22263154894678927, std values: 0.8274048524341696, min values: -2.155598238150854, max values: 3.784832159836258, median values: 0.283145401868819, and quantile values: 0.25 -0.372833\n0.50 0.283145\n0.75 0.800715\nName: 15955, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10546233233282021, std values: 1.095627511068069, min values: -2.1786013895059995, max values: 5.0, median values: -0.118329912739221, and quantile values: 0.25 -0.989443\n0.50 -0.118330\n0.75 0.699251\nName: 15956, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4430128579883033, std values: 0.9880060434383593, min values: -2.7428415536925543, max values: 5.0, median values: 0.5544056613525004, and quantile values: 0.25 -0.147260\n0.50 0.554406\n0.75 1.171884\nName: 15957, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.42310861547848544, std values: 0.818474457080686, min values: -2.618746139350171, max values: 3.784832159836258, median values: -0.5475782277425738, and quantile values: 0.25 -1.033516\n0.50 -0.547578\n0.75 0.075032\nName: 15958, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43531843115644603, std values: 0.7617580466553394, min values: -2.439930808627264, max values: 4.0, median values: -0.553506688528393, and quantile values: 0.25 -0.999809\n0.50 -0.553507\n0.75 0.041707\nName: 15959, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22391425967787726, std values: 1.211459534800796, min values: -2.891990595045606, max values: 6.0, median values: 0.1854329389607013, and quantile values: 0.25 -0.576931\n0.50 0.185433\n0.75 0.962815\nName: 15960, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15281151650595387, std values: 0.964064703735398, min values: -2.6466193392086392, max values: 4.0, median values: -0.1341876014645104, and quantile values: 0.25 -0.748491\n0.50 -0.134188\n0.75 0.449440\nName: 15961, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44184308197046296, std values: 0.9945532684874582, min values: -2.623568901859613, max values: 4.0, median values: -0.5288639816943594, and quantile values: 0.25 -1.176589\n0.50 -0.528864\n0.75 0.258285\nName: 15962, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5358409673309743, std values: 0.9670512906494974, min values: -2.5695487141177, max values: 4.0, median values: -0.6130921277310056, and quantile values: 0.25 -1.353364\n0.50 -0.613092\n0.75 0.260485\nName: 15963, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04710312785866441, std values: 1.058299456647699, min values: -2.739804196611005, max values: 6.0, median values: -0.1323260119134594, and quantile values: 0.25 -0.851925\n0.50 -0.132326\n0.75 0.633459\nName: 15964, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.040940008253066505, std values: 0.9440127583645709, min values: -2.724017888297919, max values: 3.0, median values: 0.120162754840335, and quantile values: 0.25 -0.616552\n0.50 0.120163\n0.75 0.742900\nName: 15965, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01898424174493198, std values: 0.8846469842791214, min values: -2.783691185534105, max values: 3.280245386470253, median values: -0.0087851538693093, and quantile values: 0.25 -0.601040\n0.50 -0.008785\n0.75 0.602258\nName: 15966, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05928199801527302, std values: 0.7032775227165592, min values: -2.0933077918561027, max values: 6.0, median values: -0.117116488964417, and quantile values: 0.25 -0.507350\n0.50 -0.117116\n0.75 0.351425\nName: 15967, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1050901011115544, std values: 0.8584116241416874, min values: -2.2915911556076085, max values: 3.3760121766849016, median values: -0.0920681270176773, and quantile values: 0.25 -0.730314\n0.50 -0.092068\n0.75 0.449904\nName: 15968, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.006867033543634361, std values: 0.8310359713794674, min values: -2.101255482180127, max values: 3.349054967837474, median values: 0.0166394589442703, and quantile values: 0.25 -0.651945\n0.50 0.016639\n0.75 0.587404\nName: 15969, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07114659410419037, std values: 0.8022552577937879, min values: -2.4737574649270093, max values: 3.0, median values: 0.034773362713187, and quantile values: 0.25 -0.466206\n0.50 0.034773\n0.75 0.559063\nName: 15970, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18783177898323355, std values: 0.7573100530284869, min values: -2.0258339246740453, max values: 3.415255285860171, median values: 0.1884363420137765, and quantile values: 0.25 -0.309251\n0.50 0.188436\n0.75 0.643555\nName: 15971, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11283417543166194, std values: 0.7832858301054513, min values: -2.7314147016889114, max values: 3.455472209455805, median values: -0.1238058402751131, and quantile values: 0.25 -0.648917\n0.50 -0.123806\n0.75 0.350478\nName: 15972, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1919375590129542, std values: 0.9389763618063833, min values: -2.5046447434119337, max values: 4.0, median values: 0.229334828099247, and quantile values: 0.25 -0.514881\n0.50 0.229335\n0.75 0.898231\nName: 15973, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11672649750450746, std values: 0.7513753215767462, min values: -2.077797959314264, max values: 4.0, median values: 0.1409432887128762, and quantile values: 0.25 -0.356037\n0.50 0.140943\n0.75 0.549723\nName: 15974, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14512003564718928, std values: 0.8120177975681541, min values: -2.0897492665563764, max values: 3.5581019918925243, median values: -0.2300100792184024, and quantile values: 0.25 -0.710685\n0.50 -0.230010\n0.75 0.341746\nName: 15975, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.01551249718740825, std values: 0.9448097135215671, min values: -2.5774281843044924, max values: 4.0, median values: -0.0686819277707234, and quantile values: 0.25 -0.632774\n0.50 -0.068682\n0.75 0.635244\nName: 15976, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5142628151783591, std values: 0.9434789522503102, min values: -2.64479559868397, max values: 6.0, median values: 0.5618283611697749, and quantile values: 0.25 -0.141784\n0.50 0.561828\n0.75 1.235293\nName: 15977, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0011600098231906604, std values: 1.1699102408024826, min values: -2.608390851963037, max values: 5.0, median values: 0.1687599042146992, and quantile values: 0.25 -0.571541\n0.50 0.168760\n0.75 0.782320\nName: 15978, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28255952184678845, std values: 0.8060711060597646, min values: -2.801183634509044, max values: 5.0, median values: 0.3421211691907221, and quantile values: 0.25 -0.207557\n0.50 0.342121\n0.75 0.794348\nName: 15979, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.02927780640054482, std values: 1.258095270456261, min values: -2.8531572940820533, max values: 6.0, median values: 0.1254392890936837, and quantile values: 0.25 -1.127664\n0.50 0.125439\n0.75 0.971696\nName: 15980, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10788703754266118, std values: 0.8816826037552672, min values: -2.724017888297919, max values: 3.176672644814091, median values: 0.1483736405931237, and quantile values: 0.25 -0.392364\n0.50 0.148374\n0.75 0.621897\nName: 15981, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10381137882651782, std values: 0.8711486598167729, min values: -2.142854198138545, max values: 5.0, median values: -0.1484242568190052, and quantile values: 0.25 -0.707639\n0.50 -0.148424\n0.75 0.422673\nName: 15982, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37200969739218087, std values: 0.8402692579539924, min values: -2.1754302383979485, max values: 3.5908526919299577, median values: 0.353470062249538, and quantile values: 0.25 -0.164335\n0.50 0.353470\n0.75 0.890791\nName: 15983, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.051870043886643846, std values: 0.8709851267563917, min values: -2.212004168819108, max values: 3.9048392686725855, median values: -0.1036334294871768, and quantile values: 0.25 -0.752798\n0.50 -0.103633\n0.75 0.566151\nName: 15984, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13396054982025674, std values: 0.9283515361319572, min values: -2.0276171973711654, max values: 4.0, median values: -0.1606365109018444, and quantile values: 0.25 -0.907433\n0.50 -0.160637\n0.75 0.566373\nName: 15985, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2927227475231682, std values: 1.1359631922801356, min values: -2.5743883495350026, max values: 5.0, median values: 0.4653682504531377, and quantile values: 0.25 -0.462433\n0.50 0.465368\n0.75 1.174405\nName: 15986, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13129041936587954, std values: 0.959740673981029, min values: -2.6466193392086392, max values: 4.0, median values: -0.1753840774601851, and quantile values: 0.25 -0.825910\n0.50 -0.175384\n0.75 0.549528\nName: 15987, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0712173047436743, std values: 0.7385374605392951, min values: -2.196708653609315, max values: 6.0, median values: 0.1197818715117409, and quantile values: 0.25 -0.416659\n0.50 0.119782\n0.75 0.572710\nName: 15988, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.021944044074608943, std values: 0.9295276752026171, min values: -2.497627580948261, max values: 3.090297571450676, median values: -0.0096939900242334, and quantile values: 0.25 -0.584165\n0.50 -0.009694\n0.75 0.593929\nName: 15989, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1880978919715191, std values: 0.768395892877695, min values: -2.5825978442440407, max values: 6.0, median values: -0.2697627593230354, and quantile values: 0.25 -0.707356\n0.50 -0.269763\n0.75 0.272848\nName: 15990, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1693292058533478, std values: 1.0565535826163204, min values: -2.6652153608723106, max values: 3.528773265847577, median values: 0.2451938910186226, and quantile values: 0.25 -0.589565\n0.50 0.245194\n0.75 0.977598\nName: 15991, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21700134353871445, std values: 0.8272769912565903, min values: -2.0518013768179686, max values: 4.0, median values: 0.159186378864185, and quantile values: 0.25 -0.330381\n0.50 0.159186\n0.75 0.756459\nName: 15992, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19077367015342314, std values: 0.916815907871342, min values: -2.64479559868397, max values: 6.0, median values: 0.1537552598427337, and quantile values: 0.25 -0.372555\n0.50 0.153755\n0.75 0.762604\nName: 15993, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3278236272915006, std values: 0.8542951009735483, min values: -2.048198631046896, max values: 3.528773265847577, median values: -0.4734023269120003, and quantile values: 0.25 -0.960279\n0.50 -0.473402\n0.75 0.226957\nName: 15994, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17866184127836376, std values: 0.904843670180676, min values: -2.0884068356849723, max values: 3.397048482165858, median values: 0.1584444108834595, and quantile values: 0.25 -0.451123\n0.50 0.158444\n0.75 0.775217\nName: 15995, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4557028128996294, std values: 1.1718558479153423, min values: -2.982771139679002, max values: 4.0, median values: 0.6214552129606213, and quantile values: 0.25 -0.176565\n0.50 0.621455\n0.75 1.276995\nName: 15996, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6775480300928634, std values: 1.0140233512718717, min values: -2.6115251494731915, max values: 3.8226908388056136, median values: 0.7641539584602973, and quantile values: 0.25 -0.025835\n0.50 0.764154\n0.75 1.356122\nName: 15997, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2725479655691049, std values: 0.949305430494527, min values: -2.321103531050575, max values: 4.0, median values: 0.3714164158342426, and quantile values: 0.25 -0.432964\n0.50 0.371416\n0.75 1.048191\nName: 15998, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.52089213894831, std values: 0.9170657091269718, min values: -2.618746139350171, max values: 3.110498035652072, median values: -0.6881052439249411, and quantile values: 0.25 -1.227826\n0.50 -0.688105\n0.75 0.022857\nName: 15999, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17454911980767684, std values: 0.7931030526021111, min values: -2.321103531050575, max values: 4.0, median values: 0.2348220319228316, and quantile values: 0.25 -0.371505\n0.50 0.234822\n0.75 0.705801\nName: 16000, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.035236275094783824, std values: 0.9092435968651934, min values: -2.605844844843939, max values: 4.0, median values: 0.0907286614546588, and quantile values: 0.25 -0.458300\n0.50 0.090729\n0.75 0.581196\nName: 16001, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16935224953447273, std values: 0.9883093779972963, min values: -3.045947208515832, max values: 6.0, median values: 0.3050364554556458, and quantile values: 0.25 -0.339416\n0.50 0.305036\n0.75 0.824720\nName: 16002, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06820793721509194, std values: 0.947069051088332, min values: -2.1238235090034925, max values: 4.0, median values: 0.0090048678972359, and quantile values: 0.25 -0.703542\n0.50 0.009005\n0.75 0.744458\nName: 16003, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4044003393612041, std values: 0.9467483230751831, min values: -2.0023899940804872, max values: 5.0, median values: 0.4480460346931496, and quantile values: 0.25 -0.259776\n0.50 0.448046\n0.75 1.096493\nName: 16004, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21840902503261092, std values: 0.7710407740574708, min values: -2.564449278715455, max values: 3.2696814875916886, median values: -0.2725825203933549, and quantile values: 0.25 -0.745269\n0.50 -0.272583\n0.75 0.244116\nName: 16005, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18150952137293325, std values: 0.7820318594128285, min values: -1.967443887800321, max values: 6.0, median values: -0.2913891908490038, and quantile values: 0.25 -0.727626\n0.50 -0.291389\n0.75 0.287675\nName: 16006, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5461917387066071, std values: 0.8489830773631193, min values: -1.8541349797327529, max values: 5.0, median values: 0.5015636261156666, and quantile values: 0.25 -0.082436\n0.50 0.501564\n0.75 1.134509\nName: 16007, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4051730688146827, std values: 0.9143647582725701, min values: -2.7016525309724218, max values: 3.197902420311553, median values: -0.46651325052513, and quantile values: 0.25 -1.149843\n0.50 -0.466513\n0.75 0.214654\nName: 16008, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.029484090697981087, std values: 0.958341470668969, min values: -3.074005993202373, max values: 2.837386543755614, median values: 0.0347970115209641, and quantile values: 0.25 -0.557958\n0.50 0.034797\n0.75 0.570540\nName: 16009, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5388524788607089, std values: 0.9232372562342438, min values: -2.300042081328127, max values: 4.0, median values: 0.5861280068488274, and quantile values: 0.25 -0.116022\n0.50 0.586128\n0.75 1.192601\nName: 16010, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24695837957274272, std values: 1.0066033061157775, min values: -2.9622221028070275, max values: 6.0, median values: 0.300884556718419, and quantile values: 0.25 -0.453444\n0.50 0.300885\n0.75 0.982144\nName: 16011, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1700327758931725, std values: 0.9669289724780408, min values: -2.3315371009945123, max values: 4.026668017837955, median values: -0.2115265989053234, and quantile values: 0.25 -0.884518\n0.50 -0.211527\n0.75 0.422978\nName: 16012, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20941873074751763, std values: 0.8454576525275748, min values: -2.841647375415054, max values: 5.0, median values: -0.2554235845455759, and quantile values: 0.25 -0.882228\n0.50 -0.255424\n0.75 0.404569\nName: 16013, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04187153994633912, std values: 0.7706684914876166, min values: -2.745904427753044, max values: 5.0, median values: -0.0118972639016814, and quantile values: 0.25 -0.550075\n0.50 -0.011897\n0.75 0.474943\nName: 16014, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3099973948683917, std values: 0.8503004811853165, min values: -2.610097161345549, max values: 4.0, median values: -0.3260767462625679, and quantile values: 0.25 -0.840327\n0.50 -0.326077\n0.75 0.182520\nName: 16015, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3490166423412165, std values: 0.9300103481628014, min values: -2.92272757463548, max values: 6.0, median values: -0.4610852825253904, and quantile values: 0.25 -0.962540\n0.50 -0.461085\n0.75 0.197731\nName: 16016, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2870756077226283, std values: 1.2433790522478885, min values: -2.825926939679757, max values: 3.627976272701048, median values: -0.0432226364807015, and quantile values: 0.25 -1.041327\n0.50 -0.043223\n0.75 0.626118\nName: 16017, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2139166805612, std values: 1.1422993341682242, min values: -2.862971749830789, max values: 3.9048392686725855, median values: 0.0463875285292229, and quantile values: 0.25 -0.590909\n0.50 0.046388\n0.75 1.047484\nName: 16018, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3525302501562398, std values: 0.9512965702683469, min values: -2.5619243605898347, max values: 3.496479817235339, median values: 0.3882571853427153, and quantile values: 0.25 -0.178101\n0.50 0.388257\n0.75 0.951146\nName: 16019, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.017323592077221315, std values: 0.7773205790964054, min values: -3.318456222573461, max values: 4.026668017837955, median values: 0.0496738021269858, and quantile values: 0.25 -0.512867\n0.50 0.049674\n0.75 0.509069\nName: 16020, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18048105777232912, std values: 1.013909541574381, min values: -2.5743883495350026, max values: 5.0, median values: 0.0943706570765256, and quantile values: 0.25 -0.536900\n0.50 0.094371\n0.75 0.879387\nName: 16021, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3545336630449595, std values: 0.9616588719321582, min values: -2.2889362156285724, max values: 5.0, median values: -0.4036576128998655, and quantile values: 0.25 -1.180660\n0.50 -0.403658\n0.75 0.351156\nName: 16022, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04500566324388486, std values: 0.8632221977624589, min values: -2.264034258932616, max values: 3.5021977227593246, median values: 0.0650407150951557, and quantile values: 0.25 -0.499067\n0.50 0.065041\n0.75 0.551315\nName: 16023, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17403478455616025, std values: 0.9473296004074198, min values: -2.45229857681487, max values: 3.627976272701048, median values: 0.1386337445855585, and quantile values: 0.25 -0.566290\n0.50 0.138634\n0.75 0.857612\nName: 16024, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3216838237434095, std values: 0.9091836641706811, min values: -2.810662060852592, max values: 3.236860296211547, median values: -0.3732643514667602, and quantile values: 0.25 -1.039662\n0.50 -0.373264\n0.75 0.291562\nName: 16025, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.028159130468750154, std values: 0.8669463612282776, min values: -2.1067975134574946, max values: 3.05919958255637, median values: -0.160550871618511, and quantile values: 0.25 -0.609926\n0.50 -0.160551\n0.75 0.518265\nName: 16026, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04307817539964035, std values: 0.9091110234510482, min values: -2.061633117855348, max values: 5.0, median values: 0.0534792878139312, and quantile values: 0.25 -0.657745\n0.50 0.053479\n0.75 0.723291\nName: 16027, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09210375210825532, std values: 0.8911264359995352, min values: -2.5879430435308, max values: 3.9048392686725855, median values: -0.2529489989066592, and quantile values: 0.25 -0.753092\n0.50 -0.252949\n0.75 0.483247\nName: 16028, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15161537763716854, std values: 0.9621502536357162, min values: -2.1529515825019523, max values: 3.5908526919299577, median values: -0.2188892584563526, and quantile values: 0.25 -0.872005\n0.50 -0.218889\n0.75 0.482819\nName: 16029, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.01432396661571529, std values: 0.7626543753908701, min values: -2.048935494746508, max values: 2.9961239202177814, median values: -0.0581131039573191, and quantile values: 0.25 -0.535890\n0.50 -0.058113\n0.75 0.527179\nName: 16030, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16685058472052794, std values: 1.0875326264168637, min values: -2.7211321814067784, max values: 3.8226908388056136, median values: -0.2007444815739946, and quantile values: 0.25 -0.862007\n0.50 -0.200744\n0.75 0.606525\nName: 16031, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40361852979702506, std values: 0.8592574859369763, min values: -2.745904427753044, max values: 5.0, median values: -0.4823238357100104, and quantile values: 0.25 -1.093250\n0.50 -0.482324\n0.75 0.182296\nName: 16032, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18904763284063664, std values: 0.7265529500959378, min values: -2.7314147016889114, max values: 3.162318759909359, median values: 0.1780414826405562, and quantile values: 0.25 -0.267851\n0.50 0.178041\n0.75 0.636829\nName: 16033, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18161896211464063, std values: 1.3961562773891518, min values: -2.769191083399913, max values: 3.17157439250477, median values: 0.1735648333660309, and quantile values: 0.25 -1.728717\n0.50 0.173565\n0.75 0.926614\nName: 16034, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3598685928602883, std values: 1.1538552518027627, min values: -2.9029979285382743, max values: 3.405671179043623, median values: -0.1643586769176039, and quantile values: 0.25 -1.124917\n0.50 -0.164359\n0.75 0.470721\nName: 16035, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11647277559307916, std values: 0.8551399489893914, min values: -2.017754962508897, max values: 5.0, median values: 0.0900373607249138, and quantile values: 0.25 -0.437445\n0.50 0.090037\n0.75 0.655424\nName: 16036, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.004974576806443667, std values: 0.9800227899469326, min values: -2.115616749554893, max values: 3.17157439250477, median values: -0.1388962392707697, and quantile values: 0.25 -0.721517\n0.50 -0.138896\n0.75 0.586044\nName: 16037, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6978095661737127, std values: 1.0064959252118943, min values: -2.080193602983667, max values: 5.0, median values: 0.8119685635096826, and quantile values: 0.25 -0.039419\n0.50 0.811969\n0.75 1.514041\nName: 16038, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1548097637195986, std values: 0.9239049025164681, min values: -2.4502625580775623, max values: 5.0, median values: -0.2554514018495004, and quantile values: 0.25 -0.870664\n0.50 -0.255451\n0.75 0.452554\nName: 16039, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5045454362864997, std values: 0.986807363301101, min values: -2.8246479422601736, max values: 6.0, median values: -0.5831222140632814, and quantile values: 0.25 -1.265534\n0.50 -0.583122\n0.75 0.152970\nName: 16040, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4919424357033874, std values: 1.1317851098900227, min values: -2.1317706126061804, max values: 3.1175233493066874, median values: 0.3614312836292729, and quantile values: 0.25 -0.391735\n0.50 0.361431\n0.75 1.484222\nName: 16041, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30597222112358924, std values: 0.9720492671118653, min values: -2.073250880923336, max values: 5.0, median values: -0.4646835860446777, and quantile values: 0.25 -1.083167\n0.50 -0.464684\n0.75 0.352514\nName: 16042, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23791561388559207, std values: 1.0118673211209304, min values: -2.6320986139293034, max values: 3.4217036547572275, median values: 0.3552820235453225, and quantile values: 0.25 -0.414928\n0.50 0.355282\n0.75 1.033837\nName: 16043, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5496533872523653, std values: 1.1520524141980772, min values: -2.374446373878101, max values: 4.0, median values: 0.4611583741634054, and quantile values: 0.25 -0.358171\n0.50 0.461158\n0.75 1.547820\nName: 16044, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3083968131970999, std values: 0.7843793135914061, min values: -2.1047747435038886, max values: 4.0, median values: -0.3317485945744833, and quantile values: 0.25 -0.870664\n0.50 -0.331749\n0.75 0.171610\nName: 16045, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08178225159792889, std values: 0.920395200433052, min values: -2.4306056622833467, max values: 5.0, median values: -0.149595276308768, and quantile values: 0.25 -0.815804\n0.50 -0.149595\n0.75 0.568074\nName: 16046, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31701969442176775, std values: 1.0521295074385348, min values: -2.5953860446419177, max values: 3.721862465295849, median values: -0.4118384149028437, and quantile values: 0.25 -1.049480\n0.50 -0.411838\n0.75 0.362432\nName: 16047, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.30600064259281284, std values: 0.9502169074604407, min values: -2.739804196611005, max values: 6.0, median values: -0.2721616957948347, and quantile values: 0.25 -0.947549\n0.50 -0.272162\n0.75 0.313472\nName: 16048, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3190666922111336, std values: 1.1200616091968734, min values: -2.862971749830789, max values: 3.3337116327022187, median values: -0.2964500619054671, and quantile values: 0.25 -1.193473\n0.50 -0.296450\n0.75 0.596789\nName: 16049, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03311397364314183, std values: 0.8948582870016256, min values: -2.7257183488872623, max values: 5.0, median values: -0.0661302431139629, and quantile values: 0.25 -0.634796\n0.50 -0.066130\n0.75 0.628938\nName: 16050, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.48755848899380577, std values: 0.921791023224531, min values: -2.807209974165368, max values: 6.0, median values: -0.5870438641910121, and quantile values: 0.25 -1.185787\n0.50 -0.587044\n0.75 0.132098\nName: 16051, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3211921597034084, std values: 0.8512203283768134, min values: -2.807209974165368, max values: 6.0, median values: -0.3624908258648332, and quantile values: 0.25 -0.929814\n0.50 -0.362491\n0.75 0.192624\nName: 16052, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2862514634238338, std values: 0.8088934780507968, min values: -2.8563982925340614, max values: 4.0, median values: -0.3666406828730987, and quantile values: 0.25 -0.840699\n0.50 -0.366641\n0.75 0.215066\nName: 16053, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.00436071294047356, std values: 1.0288195238213804, min values: -3.3126932323446474, max values: 3.379902545505621, median values: -0.0695652936919065, and quantile values: 0.25 -0.768614\n0.50 -0.069565\n0.75 0.796065\nName: 16054, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11422134128173107, std values: 0.8041910056404057, min values: -2.525881048269423, max values: 3.0, median values: 0.1489738935844733, and quantile values: 0.25 -0.340343\n0.50 0.148974\n0.75 0.605974\nName: 16055, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.007623263552634978, std values: 0.8112694602339046, min values: -2.5689076212724418, max values: 5.0, median values: -0.0646798372792036, and quantile values: 0.25 -0.582111\n0.50 -0.064680\n0.75 0.534036\nName: 16056, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08329537254562445, std values: 0.9098595877244887, min values: -2.3771558481240653, max values: 4.0, median values: -0.2090713982076035, and quantile values: 0.25 -0.787174\n0.50 -0.209071\n0.75 0.566392\nName: 16057, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3244416983514588, std values: 0.8230686987815662, min values: -2.732564679617164, max values: 3.17157439250477, median values: 0.4151272110529168, and quantile values: 0.25 -0.244853\n0.50 0.415127\n0.75 0.903149\nName: 16058, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08298809770751066, std values: 0.8842207435014378, min values: -2.58513369695146, max values: 4.0, median values: 0.0959009891623014, and quantile values: 0.25 -0.448411\n0.50 0.095901\n0.75 0.614487\nName: 16059, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1295968026617667, std values: 0.9566597699177215, min values: -2.071166690331113, max values: 3.405671179043623, median values: 0.1092173450132478, and quantile values: 0.25 -0.633022\n0.50 0.109217\n0.75 0.887422\nName: 16060, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04156273503412851, std values: 0.8414462405001489, min values: -2.589966702820638, max values: 6.0, median values: -0.0652775623999458, and quantile values: 0.25 -0.544765\n0.50 -0.065278\n0.75 0.604952\nName: 16061, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03473194078171261, std values: 0.7498592453259094, min values: -2.198029940219256, max values: 2.642076374475678, median values: -0.0406316640138361, and quantile values: 0.25 -0.547687\n0.50 -0.040632\n0.75 0.428462\nName: 16062, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2116138501985198, std values: 0.8855326885988085, min values: -2.321103531050575, max values: 4.0, median values: 0.2357696499022632, and quantile values: 0.25 -0.470447\n0.50 0.235770\n0.75 0.915704\nName: 16063, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18453539738785527, std values: 0.7728955151000851, min values: -2.043510008966212, max values: 5.0, median values: -0.176586748413117, and quantile values: 0.25 -0.738081\n0.50 -0.176587\n0.75 0.346216\nName: 16064, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.29010573936349066, std values: 1.1002444756034788, min values: -2.558791007225312, max values: 3.0, median values: -0.0820765943501357, and quantile values: 0.25 -1.000298\n0.50 -0.082077\n0.75 0.502032\nName: 16065, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10719202795352586, std values: 0.8442354345415054, min values: -2.590643619371846, max values: 4.0, median values: -0.0171122163524057, and quantile values: 0.25 -0.674060\n0.50 -0.017112\n0.75 0.459401\nName: 16066, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24054278837293794, std values: 0.7955746723049842, min values: -2.4536054974529624, max values: 6.0, median values: 0.2551959713597792, and quantile values: 0.25 -0.242287\n0.50 0.255196\n0.75 0.717615\nName: 16067, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2772663957193176, std values: 0.7302991597859961, min values: -1.956178786066185, max values: 5.0, median values: 0.3262013737209278, and quantile values: 0.25 -0.191769\n0.50 0.326201\n0.75 0.747763\nName: 16068, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.1027992439205923, std values: 1.236026527199908, min values: -2.727901130262228, max values: 4.0, median values: -1.6990507434807764, and quantile values: 0.25 -2.140874\n0.50 -1.699051\n0.75 -0.040301\nName: 16069, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2713943348111362, std values: 0.8230108634075698, min values: -2.732564679617164, max values: 3.379902545505621, median values: -0.3651389455357277, and quantile values: 0.25 -0.907131\n0.50 -0.365139\n0.75 0.259214\nName: 16070, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20399899491456347, std values: 0.8667969104699753, min values: -2.525362520654854, max values: 5.0, median values: 0.149643077369371, and quantile values: 0.25 -0.443241\n0.50 0.149643\n0.75 0.822159\nName: 16071, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19627753703702402, std values: 0.9246507590528674, min values: -2.7648443048846945, max values: 4.278004674434932, median values: 0.1858627721218842, and quantile values: 0.25 -0.398625\n0.50 0.185863\n0.75 0.764181\nName: 16072, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22284116777240812, std values: 0.7583784135883223, min values: -2.556631690482005, max values: 3.3337116327022187, median values: 0.1831462253904167, and quantile values: 0.25 -0.277338\n0.50 0.183146\n0.75 0.716864\nName: 16073, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1451556504457151, std values: 1.0255024190013597, min values: -2.778044916685896, max values: 3.1801075704642923, median values: 0.2064390358114034, and quantile values: 0.25 -0.570827\n0.50 0.206439\n0.75 0.938332\nName: 16074, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1017011992012317, std values: 1.039302057418385, min values: -2.56026492390943, max values: 4.0, median values: -0.1916843661955789, and quantile values: 0.25 -0.943986\n0.50 -0.191684\n0.75 0.625141\nName: 16075, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1164428956730679, std values: 0.7275505111577643, min values: -2.12073996675014, max values: 3.0, median values: 0.131454578338073, and quantile values: 0.25 -0.358380\n0.50 0.131455\n0.75 0.562742\nName: 16076, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1519843119026192, std values: 0.9152659449590849, min values: -2.572123985342288, max values: 4.0, median values: 0.0470545050433534, and quantile values: 0.25 -0.525602\n0.50 0.047055\n0.75 0.761933\nName: 16077, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.8109758144571105, std values: 1.0080163787823975, min values: -2.0477799217050063, max values: 5.0, median values: 0.7624857239468028, and quantile values: 0.25 0.133382\n0.50 0.762486\n0.75 1.542550\nName: 16078, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4638139828412339, std values: 0.8952221395972535, min values: -2.136604280590623, max values: 4.0, median values: 0.564237727567201, and quantile values: 0.25 -0.182100\n0.50 0.564238\n0.75 1.149445\nName: 16079, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.190021232534158, std values: 1.2257431262931533, min values: -2.727901130262228, max values: 4.0, median values: -1.8131359331653545, and quantile values: 0.25 -2.170058\n0.50 -1.813136\n0.75 -0.119418\nName: 16080, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3945177565695452, std values: 0.994547853668922, min values: -2.9472833478224456, max values: 6.0, median values: 0.4871865638765812, and quantile values: 0.25 -0.127521\n0.50 0.487187\n0.75 1.053261\nName: 16081, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.347709824772121, std values: 0.7870306668004541, min values: -2.0683523803658423, max values: 3.8226908388056136, median values: -0.434689007505174, and quantile values: 0.25 -0.894898\n0.50 -0.434689\n0.75 0.085282\nName: 16082, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32003730322606416, std values: 1.3764193241730902, min values: -2.825926939679757, max values: 3.709787027503053, median values: -0.1675309231716599, and quantile values: 0.25 -1.408227\n0.50 -0.167531\n0.75 0.671934\nName: 16083, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2266690342631839, std values: 0.8415801543762929, min values: -2.111892494706718, max values: 3.709787027503053, median values: 0.1539169284181129, and quantile values: 0.25 -0.325296\n0.50 0.153917\n0.75 0.725939\nName: 16084, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10865383564867855, std values: 0.8547915920315746, min values: -2.379484990542424, max values: 3.1888787873512885, median values: 0.159186378864185, and quantile values: 0.25 -0.522270\n0.50 0.159186\n0.75 0.753786\nName: 16085, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.016557142776652548, std values: 0.7493615229354401, min values: -2.2915911556076085, max values: 3.0, median values: -0.0794244573506408, and quantile values: 0.25 -0.546299\n0.50 -0.079424\n0.75 0.461684\nName: 16086, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.510492290904928, std values: 0.8215672645128436, min values: -2.0640140184960183, max values: 5.0, median values: 0.6090434855580734, and quantile values: 0.25 -0.051641\n0.50 0.609043\n0.75 1.107257\nName: 16087, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.48577663285219413, std values: 0.7855864520045149, min values: -2.2161166709808824, max values: 6.0, median values: 0.4668172986281754, and quantile values: 0.25 -0.004957\n0.50 0.466817\n0.75 1.003265\nName: 16088, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10082050998987277, std values: 0.8338555581599991, min values: -2.618746139350171, max values: 3.1995118554872866, median values: 0.0968140153192136, and quantile values: 0.25 -0.446017\n0.50 0.096814\n0.75 0.643144\nName: 16089, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.021570220084435918, std values: 0.7889312885330124, min values: -2.788272971802125, max values: 3.110498035652072, median values: -0.0373519920953194, and quantile values: 0.25 -0.540330\n0.50 -0.037352\n0.75 0.428697\nName: 16090, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4415733723359756, std values: 0.8057543249132225, min values: -2.245752867605861, max values: 2.890580632480353, median values: -0.5287977968985049, and quantile values: 0.25 -1.017440\n0.50 -0.528798\n0.75 0.060044\nName: 16091, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12979478248333293, std values: 0.8364780328490627, min values: -2.592681522006084, max values: 5.0, median values: -0.1161167496196683, and quantile values: 0.25 -0.722004\n0.50 -0.116117\n0.75 0.399188\nName: 16092, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08018068447097346, std values: 0.9623423640633629, min values: -2.7211321814067784, max values: 3.090297571450676, median values: -0.2193058853671223, and quantile values: 0.25 -0.805610\n0.50 -0.219306\n0.75 0.528837\nName: 16093, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14056799331008807, std values: 0.8290436785125187, min values: -2.8531572940820533, max values: 3.455472209455805, median values: 0.1969323652013655, and quantile values: 0.25 -0.441584\n0.50 0.196932\n0.75 0.724463\nName: 16094, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10447751601378022, std values: 0.9651023383569363, min values: -2.642042398333877, max values: 3.066111439712683, median values: -0.0091707197931628, and quantile values: 0.25 -0.748768\n0.50 -0.009171\n0.75 0.537610\nName: 16095, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2351292792320684, std values: 0.8509108024037345, min values: -2.143127839894852, max values: 3.312693232344632, median values: 0.2024087332832971, and quantile values: 0.25 -0.329244\n0.50 0.202409\n0.75 0.775055\nName: 16096, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19339898480806936, std values: 0.7969024504772395, min values: -2.310643401200253, max values: 5.0, median values: 0.2563305617242988, and quantile values: 0.25 -0.354356\n0.50 0.256331\n0.75 0.708759\nName: 16097, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4068219896097489, std values: 1.1051792807582108, min values: -2.138226655046297, max values: 5.0, median values: 0.3275726106863796, and quantile values: 0.25 -0.477094\n0.50 0.327573\n0.75 1.324082\nName: 16098, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23505986009609797, std values: 0.9098187957488919, min values: -2.12366050359468, max values: 5.0, median values: 0.3102337427618397, and quantile values: 0.25 -0.393639\n0.50 0.310234\n0.75 0.896393\nName: 16099, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.045584767514865655, std values: 1.27593057525042, min values: -2.8350118695332047, max values: 5.0, median values: -0.0476886203532576, and quantile values: 0.25 -1.131579\n0.50 -0.047689\n0.75 1.041530\nName: 16100, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1361520046715758, std values: 0.9435571321073178, min values: -2.93129584560762, max values: 6.0, median values: -0.0660045493826953, and quantile values: 0.25 -0.645521\n0.50 -0.066005\n0.75 0.472967\nName: 16101, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.025534018585483865, std values: 0.9426973498397336, min values: -2.5953860446419177, max values: 3.434669824302974, median values: 0.0642117781724862, and quantile values: 0.25 -0.562388\n0.50 0.064212\n0.75 0.592418\nName: 16102, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12820498185468163, std values: 1.2263215951725062, min values: -3.124705982383478, max values: 3.434669824302974, median values: 0.2375682771584958, and quantile values: 0.25 -0.455671\n0.50 0.237568\n0.75 0.829845\nName: 16103, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14072172007966557, std values: 1.3367624713957962, min values: -3.002493140275396, max values: 5.0, median values: -0.240797391825813, and quantile values: 0.25 -1.298541\n0.50 -0.240797\n0.75 0.821205\nName: 16104, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.032186602001709544, std values: 0.90256804669671, min values: -2.419133598913117, max values: 3.477886732511886, median values: 0.072621711675447, and quantile values: 0.25 -0.618985\n0.50 0.072622\n0.75 0.675597\nName: 16105, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15300545649623407, std values: 0.765851742463161, min values: -2.475272102106495, max values: 4.0, median values: 0.1029306420481528, and quantile values: 0.25 -0.345506\n0.50 0.102931\n0.75 0.643290\nName: 16106, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08665038802422263, std values: 0.8145131157026554, min values: -1.9894723742829257, max values: 5.0, median values: -0.1413068675149772, and quantile values: 0.25 -0.723291\n0.50 -0.141307\n0.75 0.464089\nName: 16107, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1963387458493546, std values: 0.8617325897290646, min values: -2.1798712735263623, max values: 4.026668017837955, median values: 0.0700898178488915, and quantile values: 0.25 -0.405954\n0.50 0.070090\n0.75 0.751618\nName: 16108, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2570204683271721, std values: 0.8804169327273623, min values: -2.156806272086999, max values: 3.438667023696733, median values: 0.1677543553958408, and quantile values: 0.25 -0.387926\n0.50 0.167754\n0.75 0.865326\nName: 16109, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06318785530369464, std values: 0.7823005157856042, min values: -2.4176069991382847, max values: 6.0, median values: -0.1104792981947252, and quantile values: 0.25 -0.602258\n0.50 -0.110479\n0.75 0.426652\nName: 16110, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17991009543972572, std values: 0.7187594176841124, min values: -1.928344027368183, max values: 2.989910119779402, median values: 0.1869930661000161, and quantile values: 0.25 -0.264425\n0.50 0.186993\n0.75 0.617118\nName: 16111, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19920647116363738, std values: 1.1030354197754129, min values: -3.4448847096097555, max values: 3.215720519334646, median values: -0.17133389674875, and quantile values: 0.25 -0.909754\n0.50 -0.171334\n0.75 0.589753\nName: 16112, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41311058813938284, std values: 0.7571967453766204, min values: -2.560041333834972, max values: 3.1047159712539405, median values: 0.4502697743034318, and quantile values: 0.25 -0.088936\n0.50 0.450270\n0.75 0.894446\nName: 16113, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12029801763035376, std values: 0.7962460788411095, min values: -2.5859127503381347, max values: 3.8226908388056136, median values: -0.1081730092382848, and quantile values: 0.25 -0.668228\n0.50 -0.108173\n0.75 0.376585\nName: 16114, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19035132997589757, std values: 1.0125516775734522, min values: -2.3333312203517527, max values: 3.784832159836258, median values: 0.283668457592061, and quantile values: 0.25 -0.590614\n0.50 0.283668\n0.75 0.947863\nName: 16115, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15443251958042878, std values: 1.0146818096764665, min values: -2.6466193392086392, max values: 4.0, median values: -0.0567532624113085, and quantile values: 0.25 -0.883505\n0.50 -0.056753\n0.75 0.590712\nName: 16116, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21282159791881672, std values: 1.0735797538431775, min values: -2.9622221028070275, max values: 6.0, median values: -0.1339930853889572, and quantile values: 0.25 -0.735818\n0.50 -0.133993\n0.75 0.461158\nName: 16117, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09054356001910586, std values: 0.8436006774892715, min values: -2.6117120822772133, max values: 5.0, median values: -0.0716738677614281, and quantile values: 0.25 -0.715948\n0.50 -0.071674\n0.75 0.445672\nName: 16118, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5997892646440967, std values: 0.8224393005168587, min values: -2.589966702820638, max values: 6.0, median values: 0.6874086825829646, and quantile values: 0.25 0.057819\n0.50 0.687409\n0.75 1.184342\nName: 16119, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22156940263492766, std values: 0.8607490577558851, min values: -2.3344113078233786, max values: 3.349054967837474, median values: 0.2130476115349621, and quantile values: 0.25 -0.352304\n0.50 0.213048\n0.75 0.750803\nName: 16120, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06323317489786111, std values: 1.4506652959415256, min values: -2.919359491767569, max values: 5.0, median values: -0.2465563452305281, and quantile values: 0.25 -1.155086\n0.50 -0.246556\n0.75 0.938111\nName: 16121, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3308480156574318, std values: 0.876675794653022, min values: -2.732564679617164, max values: 3.598076523509904, median values: 0.2784496871832432, and quantile values: 0.25 -0.303204\n0.50 0.278450\n0.75 0.957781\nName: 16122, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2196280262018156, std values: 1.400433377396917, min values: -2.8327898928872086, max values: 4.243835016543704, median values: 0.4734691836482626, and quantile values: 0.25 -0.617144\n0.50 0.473469\n0.75 1.137900\nName: 16123, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24985162115811826, std values: 0.8819567869771875, min values: -2.240740315114864, max values: 4.0, median values: 0.1834721125263675, and quantile values: 0.25 -0.402343\n0.50 0.183472\n0.75 0.873161\nName: 16124, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16171290676119823, std values: 1.0412363114862337, min values: -2.3922473154067863, max values: 5.0, median values: 0.0239203994745894, and quantile values: 0.25 -0.575761\n0.50 0.023920\n0.75 0.882423\nName: 16125, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.40043063952765745, std values: 0.9795970603651748, min values: -2.855306289371099, max values: 6.0, median values: -0.387219499260188, and quantile values: 0.25 -1.011407\n0.50 -0.387219\n0.75 0.230972\nName: 16126, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14111186838233788, std values: 0.83499080177582, min values: -2.144224014725033, max values: 3.784832159836258, median values: 0.1759993656803863, and quantile values: 0.25 -0.438082\n0.50 0.175999\n0.75 0.742900\nName: 16127, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2746549034911712, std values: 0.7955451671947531, min values: -1.9999424177983465, max values: 3.176672644814091, median values: 0.3139057580226216, and quantile values: 0.25 -0.266161\n0.50 0.313906\n0.75 0.816842\nName: 16128, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15807461155931318, std values: 0.9321648474573085, min values: -2.673549169958716, max values: 6.0, median values: 0.2098090062116502, and quantile values: 0.25 -0.388308\n0.50 0.209809\n0.75 0.704388\nName: 16129, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10775654315129193, std values: 0.885811571076039, min values: -2.222049826555007, max values: 3.630507857092792, median values: -0.2325874589489193, and quantile values: 0.25 -0.749002\n0.50 -0.232587\n0.75 0.472355\nName: 16130, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22020207701268962, std values: 1.0212505469609838, min values: -2.576018450691392, max values: 4.0, median values: -0.1147129953899266, and quantile values: 0.25 -0.764882\n0.50 -0.114713\n0.75 0.402941\nName: 16131, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32605341448151254, std values: 1.1213465933399407, min values: -2.9029979285382743, max values: 3.197902420311553, median values: 0.5478341943868024, and quantile values: 0.25 -0.190955\n0.50 0.547834\n0.75 1.053928\nName: 16132, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1388669081022946, std values: 0.8094814475287201, min values: -2.841647375415054, max values: 5.0, median values: -0.2528883102575056, and quantile values: 0.25 -0.707878\n0.50 -0.252888\n0.75 0.375964\nName: 16133, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6369697243314699, std values: 0.958348865861038, min values: -2.6466193392086392, max values: 4.0, median values: 0.7672591435534388, and quantile values: 0.25 0.095486\n0.50 0.767259\n0.75 1.341148\nName: 16134, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1570189136293974, std values: 0.9202880747647141, min values: -1.9645904621193, max values: 3.518664430018096, median values: 0.0243196104975167, and quantile values: 0.25 -0.467239\n0.50 0.024320\n0.75 0.680719\nName: 16135, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21049713424668962, std values: 0.8373756256244164, min values: -2.1307031986737024, max values: 3.405671179043623, median values: -0.2157246661217545, and quantile values: 0.25 -0.791759\n0.50 -0.215725\n0.75 0.262201\nName: 16136, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09125481144722096, std values: 0.9929981752974467, min values: -2.558791007225312, max values: 3.721862465295849, median values: 0.2532543641080033, and quantile values: 0.25 -0.543490\n0.50 0.253254\n0.75 0.811804\nName: 16137, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.440282426901875, std values: 0.8467188067066707, min values: -2.7871422803648627, max values: 3.281452258958016, median values: -0.5759715002823049, and quantile values: 0.25 -1.064823\n0.50 -0.575972\n0.75 0.077480\nName: 16138, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41943504233918416, std values: 0.8638037693918207, min values: -2.0407136277056424, max values: 5.0, median values: 0.3751367346758771, and quantile values: 0.25 -0.166805\n0.50 0.375137\n0.75 0.964129\nName: 16139, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08585986295987567, std values: 0.8367736074483879, min values: -2.7211321814067784, max values: 3.306454397423372, median values: 0.1178374690593192, and quantile values: 0.25 -0.504233\n0.50 0.117837\n0.75 0.656175\nName: 16140, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16378837194947565, std values: 1.0873094003788735, min values: -3.0960472541202715, max values: 6.0, median values: 0.2856063769850092, and quantile values: 0.25 -0.334631\n0.50 0.285606\n0.75 0.863765\nName: 16141, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03967913986443792, std values: 0.8582807065689809, min values: -2.073656518453596, max values: 5.0, median values: -0.0549410177810675, and quantile values: 0.25 -0.552127\n0.50 -0.054941\n0.75 0.598271\nName: 16142, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14271053849238846, std values: 0.8166449086098357, min values: -2.688157591415518, max values: 5.0, median values: 0.0860173797276256, and quantile values: 0.25 -0.449074\n0.50 0.086017\n0.75 0.701123\nName: 16143, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8547315580396786, std values: 0.8814679466777556, min values: -3.4217036547572723, max values: 2.614222046424899, median values: -1.0442170141519311, and quantile values: 0.25 -1.586121\n0.50 -1.044217\n0.75 -0.297832\nName: 16144, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34988839969498853, std values: 0.8857748061478329, min values: -2.6278943940336483, max values: 4.0, median values: 0.2938611760394883, and quantile values: 0.25 -0.223539\n0.50 0.293861\n0.75 0.934595\nName: 16145, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.44094763948333526, std values: 0.8694875243424844, min values: -2.0999281303014694, max values: 3.0838352979250487, median values: 0.5539561189803416, and quantile values: 0.25 -0.166851\n0.50 0.553956\n0.75 1.071956\nName: 16146, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08569331186974204, std values: 1.0229888716887265, min values: -2.6820581866633817, max values: 3.216771431244405, median values: 0.1167354256554462, and quantile values: 0.25 -0.462841\n0.50 0.116735\n0.75 0.680622\nName: 16147, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.46304958756991277, std values: 0.8697941422004419, min values: -2.476285024008804, max values: 3.405671179043623, median values: 0.520239685481029, and quantile values: 0.25 -0.142906\n0.50 0.520240\n0.75 1.129004\nName: 16148, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.9337055616198607, std values: 1.1258841687920484, min values: -2.049996677874803, max values: 3.390469008396469, median values: 0.9187999281617028, and quantile values: 0.25 0.081386\n0.50 0.918800\n0.75 1.869546\nName: 16149, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15227112141588953, std values: 0.78031201053798, min values: -2.2991280154856644, max values: 3.4566816047670264, median values: 0.1153143042066485, and quantile values: 0.25 -0.362365\n0.50 0.115314\n0.75 0.660861\nName: 16150, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5083024476290999, std values: 0.7972550510544907, min values: -1.9194120518354203, max values: 3.281452258958016, median values: 0.5395770166366297, and quantile values: 0.25 0.012219\n0.50 0.539577\n0.75 1.048384\nName: 16151, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2954963498417437, std values: 0.8161850100206711, min values: -2.2477784840641744, max values: 4.0, median values: -0.3300614264629504, and quantile values: 0.25 -0.922784\n0.50 -0.330061\n0.75 0.238614\nName: 16152, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.32349516141700896, std values: 0.811186520571291, min values: -2.6278943940336483, max values: 4.0, median values: -0.4212285173331057, and quantile values: 0.25 -0.879427\n0.50 -0.421229\n0.75 0.184957\nName: 16153, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.057677058178749505, std values: 0.7627184775185784, min values: -2.8843374390620142, max values: 6.0, median values: -0.138061062038749, and quantile values: 0.25 -0.601181\n0.50 -0.138061\n0.75 0.434871\nName: 16154, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41528526945734545, std values: 1.1198303167354444, min values: -2.739804196611005, max values: 6.0, median values: -0.4739451174132461, and quantile values: 0.25 -1.404542\n0.50 -0.473945\n0.75 0.444765\nName: 16155, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4087137952730128, std values: 0.8466589834360079, min values: -2.5774281843044924, max values: 4.0, median values: 0.5109236408728054, and quantile values: 0.25 -0.189928\n0.50 0.510924\n0.75 1.049766\nName: 16156, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0029425672163471564, std values: 1.0261622591306498, min values: -2.3212764819460503, max values: 3.5908526919299577, median values: -0.0401421667823646, and quantile values: 0.25 -0.839959\n0.50 -0.040142\n0.75 0.684724\nName: 16157, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.41305020119203995, std values: 1.1160462463225331, min values: -3.28024538647024, max values: 3.216771431244405, median values: 0.3600215392103587, and quantile values: 0.25 -0.427919\n0.50 0.360022\n0.75 1.330862\nName: 16158, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03350409918710178, std values: 0.9903765192492688, min values: -2.7428415536925543, max values: 5.0, median values: -0.1431687763752042, and quantile values: 0.25 -0.723235\n0.50 -0.143169\n0.75 0.667660\nName: 16159, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4856703572696975, std values: 0.809954816132717, min values: -2.981718296512785, max values: 5.0, median values: -0.5725990314564617, and quantile values: 0.25 -1.017202\n0.50 -0.572599\n0.75 -0.032361\nName: 16160, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20905441140426478, std values: 0.9847778370596942, min values: -2.282827160790823, max values: 6.0, median values: -0.2719902295053203, and quantile values: 0.25 -0.920026\n0.50 -0.271990\n0.75 0.376733\nName: 16161, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36187618955636264, std values: 0.9272716360979241, min values: -3.00972886875607, max values: 3.9905524164385566, median values: 0.3903084121513721, and quantile values: 0.25 -0.122710\n0.50 0.390308\n0.75 0.886789\nName: 16162, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24020359072464723, std values: 0.8032513800136605, min values: -2.1144606839090367, max values: 3.9905524164385566, median values: 0.2615456890446039, and quantile values: 0.25 -0.277074\n0.50 0.261546\n0.75 0.744561\nName: 16163, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.019159800112646463, std values: 0.8565540988659366, min values: -2.525881048269423, max values: 3.5908526919299577, median values: -0.0481021841315054, and quantile values: 0.25 -0.685804\n0.50 -0.048102\n0.75 0.539980\nName: 16164, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04897026556559812, std values: 0.8802861953099987, min values: -2.1103582417935702, max values: 5.0, median values: -0.1466800536698129, and quantile values: 0.25 -0.686048\n0.50 -0.146680\n0.75 0.540151\nName: 16165, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.34475595364536327, std values: 0.9008438508185386, min values: -2.0898718573687374, max values: 5.0, median values: -0.4199648984433347, and quantile values: 0.25 -1.069166\n0.50 -0.419965\n0.75 0.280047\nName: 16166, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07477225036455039, std values: 1.0308002848384126, min values: -2.643887016977268, max values: 6.0, median values: 0.0215649534622163, and quantile values: 0.25 -0.569272\n0.50 0.021565\n0.75 0.676078\nName: 16167, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1545694957715657, std values: 1.0462960958272525, min values: -2.9472833478224456, max values: 6.0, median values: 0.2509874980479136, and quantile values: 0.25 -0.561413\n0.50 0.250987\n0.75 0.966868\nName: 16168, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15246476969036787, std values: 0.9176265613904137, min values: -2.8164291268114208, max values: 4.0, median values: 0.0627198025080286, and quantile values: 0.25 -0.494145\n0.50 0.062720\n0.75 0.789842\nName: 16169, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3743103495730591, std values: 0.8912763699166036, min values: -1.967443887800321, max values: 6.0, median values: 0.2754289985636011, and quantile values: 0.25 -0.285360\n0.50 0.275429\n0.75 0.963818\nName: 16170, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2675242781276074, std values: 0.8831630716910239, min values: -2.265570063420619, max values: 4.0, median values: 0.2911252686688965, and quantile values: 0.25 -0.370175\n0.50 0.291125\n0.75 0.936535\nName: 16171, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3081594651884685, std values: 0.9388558612196319, min values: -2.4657737907743, max values: 3.306454397423372, median values: 0.3520700066244627, and quantile values: 0.25 -0.359414\n0.50 0.352070\n0.75 1.016489\nName: 16172, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4631450825676596, std values: 1.1286737796873973, min values: -2.486556664247513, max values: 3.017846660960028, median values: 0.470536622160821, and quantile values: 0.25 -0.322639\n0.50 0.470537\n0.75 1.352236\nName: 16173, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15354590615450336, std values: 0.9405038454252007, min values: -2.608390851963037, max values: 5.0, median values: -0.2056724209079296, and quantile values: 0.25 -0.798714\n0.50 -0.205672\n0.75 0.503126\nName: 16174, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18700956473759905, std values: 0.8353914459461581, min values: -2.419133598913117, max values: 3.9048392686725855, median values: 0.1450331675964706, and quantile values: 0.25 -0.337545\n0.50 0.145033\n0.75 0.748127\nName: 16175, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05917548041843507, std values: 0.8715483902786134, min values: -2.5820330744015787, max values: 4.0, median values: 0.070503929482152, and quantile values: 0.25 -0.484629\n0.50 0.070504\n0.75 0.585764\nName: 16176, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2173576482688608, std values: 0.7770261100432134, min values: -2.580492024304656, max values: 3.9048392686725855, median values: -0.2291335645888356, and quantile values: 0.25 -0.759763\n0.50 -0.229134\n0.75 0.238103\nName: 16177, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12082032430364929, std values: 0.7416582796127666, min values: -1.8623719520639617, max values: 4.0, median values: 0.0976164382438452, and quantile values: 0.25 -0.337664\n0.50 0.097616\n0.75 0.538566\nName: 16178, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07816214297290974, std values: 0.8479593758619008, min values: -2.0839101397393343, max values: 3.415255285860171, median values: -0.0327500967409122, and quantile values: 0.25 -0.651859\n0.50 -0.032750\n0.75 0.509700\nName: 16179, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2224255350725167, std values: 0.7265960815428775, min values: -1.952962872481048, max values: 3.0, median values: -0.3024409071458646, and quantile values: 0.25 -0.745797\n0.50 -0.302441\n0.75 0.260216\nName: 16180, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2133010679560825, std values: 0.8257505486376574, min values: -2.140398613737501, max values: 3.709787027503053, median values: -0.3088469856997053, and quantile values: 0.25 -0.815127\n0.50 -0.308847\n0.75 0.297745\nName: 16181, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22706932341154715, std values: 0.8912662189236755, min values: -1.943046442857159, max values: 5.0, median values: -0.2954183837778998, and quantile values: 0.25 -0.949245\n0.50 -0.295418\n0.75 0.398584\nName: 16182, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6278608749460592, std values: 0.9339720779462489, min values: -2.8680719719444903, max values: 3.709787027503053, median values: -0.7460154250704295, and quantile values: 0.25 -1.341349\n0.50 -0.746015\n0.75 -0.012310\nName: 16183, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6350330152139646, std values: 0.8418967279628035, min values: -1.9422770815436567, max values: 5.0, median values: 0.7290185635966702, and quantile values: 0.25 0.066320\n0.50 0.729019\n0.75 1.267168\nName: 16184, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09516514014857173, std values: 0.7684165834090059, min values: -2.045960343889241, max values: 3.2071942083719924, median values: -0.0274876955359035, and quantile values: 0.25 -0.639225\n0.50 -0.027488\n0.75 0.417608\nName: 16185, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2799744606764404, std values: 0.7739245793327232, min values: -2.5906203367024587, max values: 3.050873041333768, median values: 0.3469763358600147, and quantile values: 0.25 -0.236936\n0.50 0.346976\n0.75 0.803117\nName: 16186, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05344422540468428, std values: 0.7557152070013959, min values: -2.127515441234012, max values: 2.828252328349424, median values: 0.0122553010798708, and quantile values: 0.25 -0.401390\n0.50 0.012255\n0.75 0.491905\nName: 16187, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.024870314946891865, std values: 0.8687543657261844, min values: -2.7884838087481176, max values: 6.0, median values: -0.0416790445896736, and quantile values: 0.25 -0.641186\n0.50 -0.041679\n0.75 0.525475\nName: 16188, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05038270845322037, std values: 1.1124334003012986, min values: -2.6603025395856053, max values: 5.0, median values: -0.0056250417264594, and quantile values: 0.25 -0.645352\n0.50 -0.005625\n0.75 0.771995\nName: 16189, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20610002237880312, std values: 0.8015905334332957, min values: -2.09134137830184, max values: 5.0, median values: 0.2246406431280509, and quantile values: 0.25 -0.298983\n0.50 0.224641\n0.75 0.692807\nName: 16190, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13184776666273001, std values: 0.885007119988679, min values: -2.5774281843044924, max values: 4.0, median values: -0.2066804770825153, and quantile values: 0.25 -0.766339\n0.50 -0.206680\n0.75 0.422461\nName: 16191, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3288298466963079, std values: 1.2601423032348273, min values: -2.679056533720636, max values: 5.0, median values: -0.0609675011982119, and quantile values: 0.25 -1.719641\n0.50 -0.060968\n0.75 0.540808\nName: 16192, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3275813835913818, std values: 0.8741559561202309, min values: -2.209283142861864, max values: 6.0, median values: -0.4365663918854573, and quantile values: 0.25 -1.017673\n0.50 -0.436566\n0.75 0.267763\nName: 16193, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11063468923585218, std values: 0.9254325868404925, min values: -2.73836943861057, max values: 3.4566816047670264, median values: -0.1546641136062096, and quantile values: 0.25 -0.871066\n0.50 -0.154664\n0.75 0.593699\nName: 16194, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10165837627211632, std values: 1.0184389301705017, min values: -2.58513369695146, max values: 4.0, median values: 0.063335521387422, and quantile values: 0.25 -0.563840\n0.50 0.063336\n0.75 0.773683\nName: 16195, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7158296613416011, std values: 0.8641661752965213, min values: -2.558791007225312, max values: 3.709787027503053, median values: -0.8969550303107566, and quantile values: 0.25 -1.351852\n0.50 -0.896955\n0.75 -0.277309\nName: 16196, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10262649135229131, std values: 0.7925095180364519, min values: -2.584593648802428, max values: 3.216771431244405, median values: 0.1122375895914619, and quantile values: 0.25 -0.453625\n0.50 0.112238\n0.75 0.656141\nName: 16197, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07644621768925434, std values: 0.9898940750203302, min values: -2.92272757463548, max values: 6.0, median values: 0.1210549012415105, and quantile values: 0.25 -0.469309\n0.50 0.121055\n0.75 0.700582\nName: 16198, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3638292246048894, std values: 0.8962795375837764, min values: -2.1232100101643527, max values: 6.0, median values: 0.410419053416263, and quantile values: 0.25 -0.251010\n0.50 0.410419\n0.75 0.896214\nName: 16199, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43588739932632475, std values: 0.8630000264246509, min values: -2.2915911556076085, max values: 3.528773265847577, median values: -0.5772832338922774, and quantile values: 0.25 -1.060385\n0.50 -0.577283\n0.75 0.053424\nName: 16200, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0008267091923667117, std values: 0.8553964432858538, min values: -2.662750916816848, max values: 5.0, median values: -0.0795667131643753, and quantile values: 0.25 -0.626910\n0.50 -0.079567\n0.75 0.555530\nName: 16201, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5987597238774063, std values: 0.8337263885375193, min values: -2.3442567942796915, max values: 3.2071942083719924, median values: 0.6877214436845486, and quantile values: 0.25 0.054941\n0.50 0.687721\n0.75 1.191068\nName: 16202, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39780118501767225, std values: 0.8566435145434362, min values: -2.6899145007874274, max values: 3.0, median values: 0.4960745801837894, and quantile values: 0.25 -0.171666\n0.50 0.496075\n0.75 1.044951\nName: 16203, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05375803783165146, std values: 1.0901493329108194, min values: -2.607565022042742, max values: 4.0, median values: 0.1309062873867474, and quantile values: 0.25 -0.731759\n0.50 0.130906\n0.75 0.721364\nName: 16204, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16123529010258322, std values: 0.7405348047353152, min values: -2.0437322601529133, max values: 2.720109091499324, median values: -0.2542306737791883, and quantile values: 0.25 -0.678679\n0.50 -0.254231\n0.75 0.308154\nName: 16205, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08365976138695215, std values: 0.8927464521030378, min values: -2.919359491767569, max values: 6.0, median values: -0.017632253922843, and quantile values: 0.25 -0.550268\n0.50 -0.017632\n0.75 0.413897\nName: 16206, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1113396685764806, std values: 1.0321713104710846, min values: -2.4914446571307907, max values: 3.260388056018088, median values: -0.0493925556971215, and quantile values: 0.25 -0.924008\n0.50 -0.049393\n0.75 0.644470\nName: 16207, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6208047667524262, std values: 0.8604145470606737, min values: -2.7884838087481176, max values: 6.0, median values: 0.7448014046513624, and quantile values: 0.25 0.081607\n0.50 0.744801\n0.75 1.217475\nName: 16208, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2818929799177271, std values: 0.8235966171791045, min values: -2.212004168819108, max values: 3.3014869995452325, median values: 0.3575544457964877, and quantile values: 0.25 -0.278450\n0.50 0.357554\n0.75 0.838134\nName: 16209, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11419012873204595, std values: 0.9502197965290933, min values: -2.8547740449753216, max values: 5.0, median values: -0.0942688077767435, and quantile values: 0.25 -0.640848\n0.50 -0.094269\n0.75 0.477164\nName: 16210, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4337109548671834, std values: 1.211185262856499, min values: -2.4902145713898545, max values: 3.760287110694155, median values: 0.4794487432312864, and quantile values: 0.25 -0.447863\n0.50 0.479449\n0.75 1.407781\nName: 16211, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0857684864466269, std values: 0.7419763722973316, min values: -2.5501488616953263, max values: 3.0, median values: 0.1110262359559198, and quantile values: 0.25 -0.400084\n0.50 0.111026\n0.75 0.595359\nName: 16212, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37069167552442855, std values: 0.8826529667926345, min values: -2.156806272086999, max values: 3.4566816047670264, median values: 0.4847692534041112, and quantile values: 0.25 -0.207912\n0.50 0.484769\n0.75 0.985476\nName: 16213, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.022096901153475863, std values: 0.8921436823990678, min values: -2.6635706018350787, max values: 3.390469008396469, median values: 0.106699188528668, and quantile values: 0.25 -0.518022\n0.50 0.106699\n0.75 0.614430\nName: 16214, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05803999522346287, std values: 0.770293360790438, min values: -2.5759052915632985, max values: 3.3014869995452325, median values: 0.0047978228134187, and quantile values: 0.25 -0.441219\n0.50 0.004798\n0.75 0.495545\nName: 16215, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05927030762919748, std values: 1.256447055566866, min values: -2.590643619371846, max values: 4.0, median values: 0.1939007829306923, and quantile values: 0.25 -0.805217\n0.50 0.193901\n0.75 1.043907\nName: 16216, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28670872764876354, std values: 0.7255926502081103, min values: -2.4176069991382847, max values: 6.0, median values: 0.3243075817924375, and quantile values: 0.25 -0.172797\n0.50 0.324308\n0.75 0.760898\nName: 16217, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21480466087378938, std values: 1.0244222881033198, min values: -2.09821650080654, max values: 3.216771431244405, median values: -0.2717044701228881, and quantile values: 0.25 -1.053681\n0.50 -0.271704\n0.75 0.504814\nName: 16218, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12863751558391934, std values: 0.9498335475058871, min values: -2.623568901859613, max values: 4.0, median values: 0.143981000548162, and quantile values: 0.25 -0.460002\n0.50 0.143981\n0.75 0.781854\nName: 16219, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10920942244216633, std values: 1.0525038819234862, min values: -2.528761840423981, max values: 3.3636961113187773, median values: -0.0743279957252097, and quantile values: 0.25 -0.967334\n0.50 -0.074328\n0.75 0.642534\nName: 16220, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41607755946804875, std values: 0.7356124911648824, min values: -2.4176069991382847, max values: 6.0, median values: -0.5247910550046188, and quantile values: 0.25 -0.924810\n0.50 -0.524791\n0.75 -0.000744\nName: 16221, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.020342912489951827, std values: 0.8097779638194395, min values: -2.6635706018350787, max values: 3.0, median values: -0.1166878336078105, and quantile values: 0.25 -0.633640\n0.50 -0.116688\n0.75 0.541382\nName: 16222, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0023079586374062182, std values: 0.8040195444691103, min values: -2.0331872940095987, max values: 4.278004674434932, median values: -0.1048688275846381, and quantile values: 0.25 -0.545629\n0.50 -0.104869\n0.75 0.479983\nName: 16223, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19683845847897088, std values: 1.0526591358094346, min values: -2.212004168819108, max values: 3.3483277116524426, median values: 0.1643107653088575, and quantile values: 0.25 -0.630164\n0.50 0.164311\n0.75 1.075583\nName: 16224, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2984488451298307, std values: 0.9441396453922497, min values: -2.086946282658587, max values: 3.281452258958016, median values: 0.1949672461477585, and quantile values: 0.25 -0.371062\n0.50 0.194967\n0.75 0.927050\nName: 16225, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.001048726834108833, std values: 0.8687358708794108, min values: -2.916688926075616, max values: 6.0, median values: -0.0303805350792128, and quantile values: 0.25 -0.543615\n0.50 -0.030381\n0.75 0.551177\nName: 16226, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1443458881913058, std values: 0.7807907347272889, min values: -2.394318853657038, max values: 5.0, median values: 0.1855982695733064, and quantile values: 0.25 -0.350855\n0.50 0.185598\n0.75 0.632955\nName: 16227, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6082751067444018, std values: 0.9918523447082495, min values: -2.608390851963037, max values: 5.0, median values: -0.5452995252198828, and quantile values: 0.25 -1.342628\n0.50 -0.545300\n0.75 -0.000709\nName: 16228, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.03513806278277544, std values: 0.954037415636932, min values: -2.117561035454381, max values: 3.721862465295849, median values: -0.0355064848631489, and quantile values: 0.25 -0.747908\n0.50 -0.035506\n0.75 0.725654\nName: 16229, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6390622326654413, std values: 1.1244933890304087, min values: -2.169311742921253, max values: 6.0, median values: 0.5823063331904507, and quantile values: 0.25 -0.271562\n0.50 0.582306\n0.75 1.483477\nName: 16230, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6694496759169056, std values: 1.1624558675664527, min values: -2.622709665346679, max values: 3.0533207538164056, median values: -0.5019258221473696, and quantile values: 0.25 -1.829395\n0.50 -0.501926\n0.75 0.160886\nName: 16231, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37508795164011044, std values: 0.8696944654152888, min values: -2.3893642989164, max values: 3.867701659180865, median values: 0.4303556396484442, and quantile values: 0.25 -0.223588\n0.50 0.430356\n0.75 0.939952\nName: 16232, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14791958343560352, std values: 0.9412437509172199, min values: -2.622408470084112, max values: 3.000356517591168, median values: -0.2222970875294158, and quantile values: 0.25 -0.732551\n0.50 -0.222297\n0.75 0.458374\nName: 16233, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.011526752063933528, std values: 0.9302152843377838, min values: -2.3333312203517527, max values: 3.135426854633533, median values: -0.0196415360558096, and quantile values: 0.25 -0.718944\n0.50 -0.019642\n0.75 0.698677\nName: 16234, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.7750984129453552, std values: 1.6033068616940587, min values: -3.447534482420193, max values: 3.5581019918925243, median values: -1.6489723790264053, and quantile values: 0.25 -2.095024\n0.50 -1.648972\n0.75 0.727375\nName: 16235, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3951068903214677, std values: 0.9681355208395014, min values: -2.9666813816765707, max values: 4.0, median values: -0.4560680784940286, and quantile values: 0.25 -1.005728\n0.50 -0.456068\n0.75 0.214287\nName: 16236, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18994712340831874, std values: 0.8014784398376619, min values: -2.3771558481240653, max values: 4.0, median values: -0.2805632220030575, and quantile values: 0.25 -0.801758\n0.50 -0.280563\n0.75 0.340843\nName: 16237, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.07049283413372893, std values: 0.985506297485483, min values: -2.933035609461076, max values: 5.0, median values: 0.1667068102024786, and quantile values: 0.25 -0.627513\n0.50 0.166707\n0.75 0.814384\nName: 16238, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3188295028686403, std values: 1.00224007613828, min values: -1.989871054037948, max values: 6.0, median values: 0.2647415277962383, and quantile values: 0.25 -0.443278\n0.50 0.264742\n0.75 1.132415\nName: 16239, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2567901182577047, std values: 0.8055786385924133, min values: -2.3808324358856225, max values: 3.0, median values: 0.3201751725130804, and quantile values: 0.25 -0.240024\n0.50 0.320175\n0.75 0.786761\nName: 16240, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24199423592143607, std values: 0.7959016591957191, min values: -2.221075353514828, max values: 3.110498035652072, median values: -0.2332632156423205, and quantile values: 0.25 -0.824023\n0.50 -0.233263\n0.75 0.297601\nName: 16241, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.057860571468658785, std values: 1.0287485384471882, min values: -2.589966702820638, max values: 6.0, median values: 0.0076103839003045, and quantile values: 0.25 -0.691035\n0.50 0.007610\n0.75 0.675873\nName: 16242, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26863861258636734, std values: 0.9582337691323971, min values: -2.4737574649270093, max values: 3.784832159836258, median values: 0.2744472034262354, and quantile values: 0.25 -0.461759\n0.50 0.274447\n0.75 0.940552\nName: 16243, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45266915899757615, std values: 1.1501153991137432, min values: -2.769191083399913, max values: 3.162318759909359, median values: -0.5564299909765378, and quantile values: 0.25 -1.286932\n0.50 -0.556430\n0.75 0.356762\nName: 16244, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31306221504672266, std values: 1.1722071897634083, min values: -3.236860296211546, max values: 2.713545878637352, median values: -0.1880033181602083, and quantile values: 0.25 -1.066007\n0.50 -0.188003\n0.75 0.497989\nName: 16245, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.38135899395588596, std values: 0.9177734749617426, min values: -2.085005777586541, max values: 4.0, median values: 0.3917650552008848, and quantile values: 0.25 -0.291820\n0.50 0.391765\n0.75 1.090534\nName: 16246, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3068866609557291, std values: 0.852413455178969, min values: -2.572123985342288, max values: 4.0, median values: -0.4348454762863482, and quantile values: 0.25 -0.977630\n0.50 -0.434845\n0.75 0.251571\nName: 16247, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1828439836939471, std values: 0.9448984739891896, min values: -2.521882829270847, max values: 4.0, median values: -0.2765092799829676, and quantile values: 0.25 -0.898585\n0.50 -0.276509\n0.75 0.447950\nName: 16248, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31280940417010583, std values: 0.7911834787984148, min values: -2.45229857681487, max values: 3.598076523509904, median values: -0.361373494737198, and quantile values: 0.25 -0.885077\n0.50 -0.361373\n0.75 0.200576\nName: 16249, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27988699033147973, std values: 0.7924405569150044, min values: -2.5759052915632985, max values: 3.0, median values: -0.3756727038551017, and quantile values: 0.25 -0.822530\n0.50 -0.375673\n0.75 0.179398\nName: 16250, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.015384485420238873, std values: 1.0873499351179474, min values: -2.801183634509044, max values: 5.0, median values: 0.0326674345949362, and quantile values: 0.25 -0.875259\n0.50 0.032667\n0.75 0.843939\nName: 16251, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08991038988777302, std values: 0.9387815632563942, min values: -2.4737574649270093, max values: 3.32433157891547, median values: 0.0652317867284044, and quantile values: 0.25 -0.623532\n0.50 0.065232\n0.75 0.718332\nName: 16252, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.2035284370937174, std values: 1.6149900370290173, min values: -2.944950884974346, max values: 3.760287110694155, median values: -2.038443584566022, and quantile values: 0.25 -2.350949\n0.50 -2.038444\n0.75 0.149906\nName: 16253, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0057772539737651965, std values: 0.7820679902356343, min values: -2.841647375415054, max values: 5.0, median values: 0.0303254310751754, and quantile values: 0.25 -0.547714\n0.50 0.030325\n0.75 0.545217\nName: 16254, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2457611075922406, std values: 0.7867546735453133, min values: -2.080605134506434, max values: 5.0, median values: -0.2857046111512239, and quantile values: 0.25 -0.797162\n0.50 -0.285705\n0.75 0.233178\nName: 16255, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5670221173092661, std values: 1.0007757858262685, min values: -2.6635706018350787, max values: 3.4217036547572275, median values: 0.7510446305759139, and quantile values: 0.25 -0.012645\n0.50 0.751045\n0.75 1.261020\nName: 16256, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.009251478219620518, std values: 0.9443240464459903, min values: -2.7428415536925543, max values: 5.0, median values: 0.0311795535890284, and quantile values: 0.25 -0.505002\n0.50 0.031180\n0.75 0.659320\nName: 16257, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.029443403433334132, std values: 0.7399265134867506, min values: -2.579723791499676, max values: 4.0, median values: -0.0309315802209516, and quantile values: 0.25 -0.458973\n0.50 -0.030932\n0.75 0.499628\nName: 16258, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39955210701136623, std values: 1.0776938040967243, min values: -2.5953860446419177, max values: 5.0, median values: 0.4911248120784057, and quantile values: 0.25 -0.334922\n0.50 0.491125\n0.75 1.261343\nName: 16259, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23484502572926644, std values: 0.7827304207511699, min values: -2.065089589366759, max values: 5.0, median values: -0.341194134842693, and quantile values: 0.25 -0.780883\n0.50 -0.341194\n0.75 0.232272\nName: 16260, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1460032224003801, std values: 0.7633774080343281, min values: -2.5422910691068967, max values: 3.455472209455805, median values: 0.1171875633109628, and quantile values: 0.25 -0.358405\n0.50 0.117188\n0.75 0.615986\nName: 16261, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08638072184309477, std values: 0.8060768406399833, min values: -2.00814811734828, max values: 5.0, median values: -0.0794718757764893, and quantile values: 0.25 -0.646723\n0.50 -0.079472\n0.75 0.409858\nName: 16262, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.150251170172066, std values: 1.3240733107891596, min values: -2.982771139679002, max values: 4.0, median values: -0.1311685085738945, and quantile values: 0.25 -0.931164\n0.50 -0.131169\n0.75 0.643290\nName: 16263, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18282050097857167, std values: 0.773282630934984, min values: -1.855194572259078, max values: 2.853157294082051, median values: 0.1153420272745409, and quantile values: 0.25 -0.360110\n0.50 0.115342\n0.75 0.689146\nName: 16264, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.43926679626799653, std values: 0.7814887683274269, min values: -2.149188957097492, max values: 3.349054967837474, median values: -0.5016309641866384, and quantile values: 0.25 -0.982080\n0.50 -0.501631\n0.75 0.023495\nName: 16265, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47502162121288205, std values: 0.9219043446686983, min values: -2.1592807923628903, max values: 3.260388056018088, median values: 0.6003321436094539, and quantile values: 0.25 -0.145199\n0.50 0.600332\n0.75 1.144336\nName: 16266, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3768380512271994, std values: 0.7746001958945993, min values: -2.601639132009086, max values: 6.0, median values: -0.4367686591155923, and quantile values: 0.25 -0.918241\n0.50 -0.436769\n0.75 0.075963\nName: 16267, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20103802052255573, std values: 0.8192086498255301, min values: -2.6115251494731915, max values: 5.0, median values: -0.3185834175401015, and quantile values: 0.25 -0.776524\n0.50 -0.318583\n0.75 0.333264\nName: 16268, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1999473553118441, std values: 0.7986413870235312, min values: -2.657750824678472, max values: 5.0, median values: -0.2901144561548246, and quantile values: 0.25 -0.769465\n0.50 -0.290114\n0.75 0.312142\nName: 16269, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.533257423607658, std values: 0.8083209000225614, min values: -2.4536054974529624, max values: 6.0, median values: -0.6704155559333055, and quantile values: 0.25 -1.119754\n0.50 -0.670416\n0.75 -0.047925\nName: 16270, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4878169918404084, std values: 0.8794592056909478, min values: -2.5832619696830608, max values: 6.0, median values: 0.5519987029450096, and quantile values: 0.25 -0.135105\n0.50 0.551999\n0.75 1.110687\nName: 16271, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5877666221002762, std values: 1.0135979051167852, min values: -3.0133870328644434, max values: 3.867701659180865, median values: 0.6723477497793963, and quantile values: 0.25 -0.066462\n0.50 0.672348\n0.75 1.370490\nName: 16272, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3012274179760869, std values: 1.1004758949313975, min values: -2.6660404517971856, max values: 4.0, median values: -0.2940607797731432, and quantile values: 0.25 -1.164908\n0.50 -0.294061\n0.75 0.465737\nName: 16273, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04621770488682769, std values: 0.8717076215225827, min values: -2.5201815750705507, max values: 4.0, median values: -0.0301385552105207, and quantile values: 0.25 -0.570262\n0.50 -0.030139\n0.75 0.504126\nName: 16274, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22827167678040466, std values: 1.1231382811310113, min values: -2.8834699678265463, max values: 5.0, median values: 0.3697645925140918, and quantile values: 0.25 -0.515888\n0.50 0.369765\n0.75 1.101537\nName: 16275, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0978111315302221, std values: 1.2892437380504773, min values: -2.727901130262228, max values: 4.0, median values: -1.80645032652458, and quantile values: 0.25 -2.19068\n0.50 -1.80645\n0.75 0.13605\nName: 16276, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.004184684613740705, std values: 0.8013787401323335, min values: -2.580492024304656, max values: 3.155170554159904, median values: -0.0550489169821425, and quantile values: 0.25 -0.505565\n0.50 -0.055049\n0.75 0.479850\nName: 16277, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6241779758035032, std values: 0.9457868092814983, min values: -2.6685266729136536, max values: 6.0, median values: 0.7335269502236804, and quantile values: 0.25 -0.002954\n0.50 0.733527\n0.75 1.273098\nName: 16278, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24247472113133875, std values: 0.7337215345028296, min values: -2.5689076212724418, max values: 5.0, median values: -0.281089105902493, and quantile values: 0.25 -0.729997\n0.50 -0.281089\n0.75 0.162841\nName: 16279, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20483204509937036, std values: 0.7405392623261344, min values: -2.3808324358856225, max values: 3.163266084685921, median values: 0.1935921111021173, and quantile values: 0.25 -0.261175\n0.50 0.193592\n0.75 0.658533\nName: 16280, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6019309998311214, std values: 0.9298477996783864, min values: -2.643887016977268, max values: 4.0, median values: -0.7397271419837405, and quantile values: 0.25 -1.373655\n0.50 -0.739727\n0.75 0.003403\nName: 16281, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1926407632186592, std values: 0.7657085897326804, min values: -1.947761146849983, max values: 2.85639829253406, median values: 0.1265928357069592, and quantile values: 0.25 -0.306248\n0.50 0.126593\n0.75 0.665356\nName: 16282, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13681670339006416, std values: 0.746007925371625, min values: -1.977656420648408, max values: 5.0, median values: -0.2329519398231139, and quantile values: 0.25 -0.656690\n0.50 -0.232952\n0.75 0.308579\nName: 16283, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22397403914348682, std values: 0.9837342129316228, min values: -2.475778245535816, max values: 4.0, median values: 0.1553383249151671, and quantile values: 0.25 -0.542785\n0.50 0.155338\n0.75 0.931053\nName: 16284, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06876033019184392, std values: 0.8714593575791267, min values: -2.6117120822772133, max values: 5.0, median values: -0.1364665984837098, and quantile values: 0.25 -0.732290\n0.50 -0.136467\n0.75 0.518879\nName: 16285, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18556324575986963, std values: 0.9163171139382079, min values: -2.8350118695332047, max values: 5.0, median values: 0.2082501397175966, and quantile values: 0.25 -0.314166\n0.50 0.208250\n0.75 0.706512\nName: 16286, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6107968732549043, std values: 0.9668428046428776, min values: -2.015650649816468, max values: 3.041094191308108, median values: 0.6762194264487807, and quantile values: 0.25 -0.078071\n0.50 0.676219\n0.75 1.330847\nName: 16287, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11856184162555114, std values: 0.9367030629226343, min values: -2.7211321814067784, max values: 3.216771431244405, median values: -0.0963989934705794, and quantile values: 0.25 -0.707909\n0.50 -0.096399\n0.75 0.474606\nName: 16288, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.481553400386061, std values: 0.8436358611050379, min values: -3.0133870328644434, max values: 2.9666813816765742, median values: -0.4741566779890371, and quantile values: 0.25 -1.055949\n0.50 -0.474157\n0.75 0.050832\nName: 16289, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19560627670047226, std values: 1.345162205834604, min values: -2.928515832252388, max values: 3.0, median values: -0.010272344426263, and quantile values: 0.25 -1.248812\n0.50 -0.010272\n0.75 0.894569\nName: 16290, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1733125562877375, std values: 1.0187606467472772, min values: -2.6660404517971856, max values: 4.0, median values: 0.1399940482305854, and quantile values: 0.25 -0.551893\n0.50 0.139994\n0.75 0.913980\nName: 16291, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13575450055724736, std values: 0.9390497918914658, min values: -2.837386543755612, max values: 5.0, median values: -0.0401185132392089, and quantile values: 0.25 -0.658567\n0.50 -0.040119\n0.75 0.457481\nName: 16292, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3870821867474285, std values: 0.7472142007729206, min values: -2.5825978442440407, max values: 6.0, median values: 0.3348053582636141, and quantile values: 0.25 -0.094015\n0.50 0.334805\n0.75 0.869381\nName: 16293, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19227469952706616, std values: 0.8141636603220674, min values: -2.730840794324401, max values: 3.0, median values: -0.1901979313466063, and quantile values: 0.25 -0.742601\n0.50 -0.190198\n0.75 0.326675\nName: 16294, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05311912944377443, std values: 0.7688441639722015, min values: -2.3344113078233786, max values: 3.362228250221886, median values: 0.0136138950895925, and quantile values: 0.25 -0.477133\n0.50 0.013614\n0.75 0.520727\nName: 16295, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5848543956970326, std values: 1.1041544211516325, min values: -2.6023368942328267, max values: 3.135426854633533, median values: 0.6215554323093961, and quantile values: 0.25 -0.149042\n0.50 0.621555\n0.75 1.479763\nName: 16296, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20934116709122355, std values: 0.8495994488134958, min values: -1.9724493230835167, max values: 4.0, median values: 0.2937399708231497, and quantile values: 0.25 -0.366103\n0.50 0.293740\n0.75 0.787700\nName: 16297, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2978974278038568, std values: 1.021054259242687, min values: -2.7314147016889114, max values: 3.9905524164385566, median values: 0.4037223992476058, and quantile values: 0.25 -0.361457\n0.50 0.403722\n0.75 1.019584\nName: 16298, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5586292215401247, std values: 1.6775923065443241, min values: -2.8563982925340614, max values: 5.0, median values: 0.6127598275325782, and quantile values: 0.25 -0.528544\n0.50 0.612760\n0.75 1.890505\nName: 16299, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1933048278512463, std values: 1.008401589814843, min values: -1.98483463091199, max values: 3.1801075704642923, median values: -0.2473527998342209, and quantile values: 0.25 -1.052111\n0.50 -0.247353\n0.75 0.511551\nName: 16300, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10712797980130985, std values: 1.154577694967727, min values: -2.687115288423959, max values: 5.0, median values: -0.0393087205347157, and quantile values: 0.25 -0.818460\n0.50 -0.039309\n0.75 0.946914\nName: 16301, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14127924479092396, std values: 0.7385754329939858, min values: -2.4737574649270093, max values: 3.241738645014612, median values: 0.1161643385030491, and quantile values: 0.25 -0.335363\n0.50 0.116164\n0.75 0.579894\nName: 16302, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6837009462032031, std values: 1.1139080461448638, min values: -2.960014365184806, max values: 6.0, median values: -0.8432705921643243, and quantile values: 0.25 -1.627008\n0.50 -0.843271\n0.75 0.132632\nName: 16303, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20193789219413044, std values: 0.8118165314979958, min values: -1.8281363690635648, max values: 3.0, median values: 0.1103532819416272, and quantile values: 0.25 -0.345431\n0.50 0.110353\n0.75 0.723081\nName: 16304, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15171535550455792, std values: 0.8104878826360218, min values: -2.009805590864732, max values: 5.0, median values: 0.1823531533926166, and quantile values: 0.25 -0.429008\n0.50 0.182353\n0.75 0.716895\nName: 16305, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2380457916863582, std values: 1.2187584316345543, min values: -2.641174291463747, max values: 6.0, median values: 0.2243299807709726, and quantile values: 0.25 -0.657781\n0.50 0.224330\n0.75 1.112265\nName: 16306, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5143335292080795, std values: 1.221004979740252, min values: -2.727901130262228, max values: 4.0, median values: -0.3241346697305179, and quantile values: 0.25 -1.763033\n0.50 -0.324135\n0.75 0.464631\nName: 16307, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2986567515460227, std values: 0.9010269050312136, min values: -2.662750916816848, max values: 5.0, median values: -0.3725378731042469, and quantile values: 0.25 -0.967817\n0.50 -0.372538\n0.75 0.274570\nName: 16308, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.45093624382201153, std values: 1.0608997868979708, min values: -2.622709665346679, max values: 3.17157439250477, median values: -0.508343123419489, and quantile values: 0.25 -1.383424\n0.50 -0.508343\n0.75 0.298605\nName: 16309, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24377806363632804, std values: 0.8855511481697198, min values: -2.7314147016889114, max values: 3.155170554159904, median values: -0.2621722681202852, and quantile values: 0.25 -0.873443\n0.50 -0.262172\n0.75 0.269640\nName: 16310, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23927019203293515, std values: 0.8178769759099183, min values: -2.150319922438211, max values: 5.0, median values: 0.3123981270939546, and quantile values: 0.25 -0.300731\n0.50 0.312398\n0.75 0.781368\nName: 16311, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5075577249670798, std values: 0.8775276782796964, min values: -1.7576567185529302, max values: 4.0, median values: 0.5672329537983974, and quantile values: 0.25 -0.129493\n0.50 0.567233\n0.75 1.173666\nName: 16312, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.016952389544156843, std values: 0.8948471223831181, min values: -2.5399045531878324, max values: 4.0, median values: 0.0508834022965875, and quantile values: 0.25 -0.605037\n0.50 0.050883\n0.75 0.588550\nName: 16313, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10587280292742886, std values: 0.8249578054903416, min values: -2.72346435408924, max values: 4.0, median values: -0.1631756518852557, and quantile values: 0.25 -0.690645\n0.50 -0.163176\n0.75 0.365420\nName: 16314, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14993572756749302, std values: 0.8838169495307299, min values: -2.642042398333877, max values: 3.434669824302974, median values: -0.1543770933881448, and quantile values: 0.25 -0.675839\n0.50 -0.154377\n0.75 0.409161\nName: 16315, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16463531833969003, std values: 0.8878630506066086, min values: -2.4823451998031074, max values: 3.0, median values: -0.2148241904444719, and quantile values: 0.25 -0.786348\n0.50 -0.214824\n0.75 0.452658\nName: 16316, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33037273292421115, std values: 0.9272102660393883, min values: -2.7027130462350266, max values: 6.0, median values: -0.3540924352895944, and quantile values: 0.25 -1.009847\n0.50 -0.354092\n0.75 0.253791\nName: 16317, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2538912978124403, std values: 0.8323880558210779, min values: -2.102258330765142, max values: 5.0, median values: 0.3385359378673526, and quantile values: 0.25 -0.330092\n0.50 0.338536\n0.75 0.836667\nName: 16318, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26335827151384644, std values: 0.8248374854563656, min values: -2.536941606705235, max values: 4.0, median values: 0.2506195305091417, and quantile values: 0.25 -0.312286\n0.50 0.250620\n0.75 0.804715\nName: 16319, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.34157330873700864, std values: 0.9959466884053491, min values: -2.6603025395856053, max values: 5.0, median values: 0.4301834717214925, and quantile values: 0.25 -0.316123\n0.50 0.430183\n0.75 1.125257\nName: 16320, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1289675627447513, std values: 0.7336884961079457, min values: -2.5422910691068967, max values: 3.1888787873512885, median values: -0.1671120102833878, and quantile values: 0.25 -0.635924\n0.50 -0.167112\n0.75 0.298234\nName: 16321, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0985895710126444, std values: 1.0551883626029734, min values: -2.6652153608723106, max values: 5.0, median values: -0.1457289647845384, and quantile values: 0.25 -0.785115\n0.50 -0.145729\n0.75 0.597589\nName: 16322, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3251362074583027, std values: 1.0558029021042536, min values: -3.12109453895821, max values: 2.927842705812016, median values: -0.3846408854698569, and quantile values: 0.25 -1.139346\n0.50 -0.384641\n0.75 0.433358\nName: 16323, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0009984944027256408, std values: 1.1150942524876355, min values: -2.6652153608723106, max values: 5.0, median values: -0.1031521292607496, and quantile values: 0.25 -0.852536\n0.50 -0.103152\n0.75 0.726893\nName: 16324, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03471832320466555, std values: 0.8248450383341049, min values: -2.5832619696830608, max values: 6.0, median values: -0.1045601828326854, and quantile values: 0.25 -0.675112\n0.50 -0.104560\n0.75 0.525279\nName: 16325, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15816303068225926, std values: 1.2496157799019079, min values: -2.92272757463548, max values: 6.0, median values: 0.0408521614450569, and quantile values: 0.25 -1.039548\n0.50 0.040852\n0.75 0.838760\nName: 16326, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.038394340371764896, std values: 1.1040089180767652, min values: -2.497627580948261, max values: 3.5021977227593246, median values: 0.0501977018668288, and quantile values: 0.25 -0.752689\n0.50 0.050198\n0.75 0.957594\nName: 16327, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.034102322910964794, std values: 0.8722650470199133, min values: -2.1695974540436334, max values: 4.0, median values: 0.0069675025776892, and quantile values: 0.25 -0.590850\n0.50 0.006968\n0.75 0.620353\nName: 16328, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1823329530218438, std values: 0.8018548834024526, min values: -2.2915911556076085, max values: 3.1995118554872866, median values: -0.1880514301794065, and quantile values: 0.25 -0.767024\n0.50 -0.188051\n0.75 0.339742\nName: 16329, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.011907852863849764, std values: 0.844051753907754, min values: -2.174309863242296, max values: 3.3483277116524426, median values: 0.0351753951010828, and quantile values: 0.25 -0.618018\n0.50 0.035175\n0.75 0.573212\nName: 16330, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0024207682634503876, std values: 0.8517852186976703, min values: -2.264034258932616, max values: 3.0932086550988465, median values: -0.0677986154412357, and quantile values: 0.25 -0.617418\n0.50 -0.067799\n0.75 0.594520\nName: 16331, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.160622100266251, std values: 0.8208510225752688, min values: -2.245126124123371, max values: 5.0, median values: 0.1448168774157732, and quantile values: 0.25 -0.389736\n0.50 0.144817\n0.75 0.653411\nName: 16332, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.043005362938305466, std values: 1.0294202197500844, min values: -2.841647375415054, max values: 3.477886732511886, median values: 0.0594924523913323, and quantile values: 0.25 -0.766506\n0.50 0.059492\n0.75 0.801673\nName: 16333, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19718168961621585, std values: 0.9891018425499167, min values: -2.730840794324401, max values: 3.132053530264631, median values: -0.2126250587344648, and quantile values: 0.25 -1.016925\n0.50 -0.212625\n0.75 0.507130\nName: 16334, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0415897520087584, std values: 1.0209663792842487, min values: -2.643887016977268, max values: 6.0, median values: 0.0620567472217581, and quantile values: 0.25 -0.513810\n0.50 0.062057\n0.75 0.713524\nName: 16335, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.40215662184073925, std values: 1.0832448435732591, min values: -2.7024513197886706, max values: 3.0, median values: 0.4122172697713917, and quantile values: 0.25 -0.421740\n0.50 0.412217\n0.75 1.299281\nName: 16336, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2533864794666254, std values: 0.8869192646401011, min values: -2.916688926075616, max values: 6.0, median values: 0.2557081196392664, and quantile values: 0.25 -0.261403\n0.50 0.255708\n0.75 0.846907\nName: 16337, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.49064042641903866, std values: 0.9386871598423455, min values: -2.9666813816765707, max values: 4.0, median values: -0.4848683834520409, and quantile values: 0.25 -1.025143\n0.50 -0.484868\n0.75 0.069210\nName: 16338, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.420710747510286, std values: 0.9429846058679667, min values: -2.2272703849889663, max values: 3.0533207538164056, median values: 0.3621673414265328, and quantile values: 0.25 -0.259996\n0.50 0.362167\n0.75 1.143744\nName: 16339, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.054297216290576454, std values: 0.9299240665006007, min values: -2.842989614395848, max values: 5.0, median values: -0.015930329771936, and quantile values: 0.25 -0.650515\n0.50 -0.015930\n0.75 0.508634\nName: 16340, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2510253551440416, std values: 0.8701685010427581, min values: -2.7871422803648627, max values: 2.985133931273498, median values: -0.301691462021287, and quantile values: 0.25 -0.856350\n0.50 -0.301691\n0.75 0.341570\nName: 16341, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.35568522637734873, std values: 0.8212625693512631, min values: -2.040629887786797, max values: 3.721862465295849, median values: 0.3759517062540664, and quantile values: 0.25 -0.193985\n0.50 0.375952\n0.75 0.856350\nName: 16342, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19351270908893756, std values: 0.8114433856024774, min values: -2.0397470924909658, max values: 3.627976272701048, median values: 0.2296502750343784, and quantile values: 0.25 -0.326326\n0.50 0.229650\n0.75 0.699764\nName: 16343, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6025945337987136, std values: 0.8711311327408301, min values: -2.5631847770497496, max values: 4.0, median values: -0.6584498547735442, and quantile values: 0.25 -1.309274\n0.50 -0.658450\n0.75 -0.019472\nName: 16344, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04372611298572524, std values: 1.1874629648633903, min values: -2.7510671817729784, max values: 6.0, median values: 0.106004233045523, and quantile values: 0.25 -0.734084\n0.50 0.106004\n0.75 0.766054\nName: 16345, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23070318758013092, std values: 0.7934972605448514, min values: -2.730840794324401, max values: 3.0, median values: -0.235216280880186, and quantile values: 0.25 -0.743508\n0.50 -0.235216\n0.75 0.253889\nName: 16346, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09175668146898601, std values: 0.8722492754678441, min values: -2.72346435408924, max values: 4.0, median values: 0.0077994655487267, and quantile values: 0.25 -0.598369\n0.50 0.007799\n0.75 0.480805\nName: 16347, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6065310454286911, std values: 0.9877981264461381, min values: -2.446475285346346, max values: 2.799400837785801, median values: -0.7702763500130066, and quantile values: 0.25 -1.432727\n0.50 -0.770276\n0.75 0.042460\nName: 16348, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.056677457114597325, std values: 0.962249080581172, min values: -2.673549169958716, max values: 6.0, median values: 0.0661701464924693, and quantile values: 0.25 -0.545851\n0.50 0.066170\n0.75 0.660947\nName: 16349, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.04744715264268562, std values: 0.9453628496812065, min values: -2.8531572940820533, max values: 3.141939528112806, median values: 0.0511076658253155, and quantile values: 0.25 -0.480438\n0.50 0.051108\n0.75 0.690645\nName: 16350, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.33407699572281563, std values: 0.8779540424629548, min values: -2.0952823332519324, max values: 3.071284484560209, median values: -0.3739846548866833, and quantile values: 0.25 -1.072646\n0.50 -0.373985\n0.75 0.287254\nName: 16351, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08044767469643156, std values: 0.8565957794830544, min values: -2.510124273981921, max values: 3.1801075704642923, median values: -0.0343949844246046, and quantile values: 0.25 -0.638482\n0.50 -0.034395\n0.75 0.492185\nName: 16352, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06494695747313439, std values: 0.918680572427808, min values: -2.1307031986737024, max values: 6.0, median values: -0.1192796134102018, and quantile values: 0.25 -0.733960\n0.50 -0.119280\n0.75 0.550407\nName: 16353, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5330481527004447, std values: 0.954767327048574, min values: -2.673549169958716, max values: 6.0, median values: -0.6518432352291915, and quantile values: 0.25 -1.331931\n0.50 -0.651843\n0.75 0.070973\nName: 16354, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3332589335841204, std values: 0.8284591678731565, min values: -2.095777247368972, max values: 6.0, median values: -0.4412362551538566, and quantile values: 0.25 -0.950218\n0.50 -0.441236\n0.75 0.187535\nName: 16355, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5105525805093861, std values: 1.0241210900227822, min values: -2.64479559868397, max values: 6.0, median values: -0.490751552095767, and quantile values: 0.25 -1.174231\n0.50 -0.490752\n0.75 0.117949\nName: 16356, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19419448688940177, std values: 0.816652953228298, min values: -2.1976806093842884, max values: 3.598076523509904, median values: -0.2217043337156186, and quantile values: 0.25 -0.716039\n0.50 -0.221704\n0.75 0.308963\nName: 16357, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23050520760594917, std values: 0.9529754684108633, min values: -2.687115288423959, max values: 5.0, median values: -0.395752787305428, and quantile values: 0.25 -0.951295\n0.50 -0.395753\n0.75 0.378478\nName: 16358, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17350688954554075, std values: 0.9236154038286963, min values: -2.147228856409125, max values: 4.243835016543704, median values: 0.187185480319078, and quantile values: 0.25 -0.512247\n0.50 0.187185\n0.75 0.891369\nName: 16359, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2846106654685241, std values: 0.8493618881827035, min values: -2.4705236352348297, max values: 3.9905524164385566, median values: 0.228825308161091, and quantile values: 0.25 -0.264081\n0.50 0.228825\n0.75 0.769354\nName: 16360, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3754763311091314, std values: 0.9515289142282263, min values: -2.842989614395848, max values: 5.0, median values: -0.280315665704688, and quantile values: 0.25 -0.934778\n0.50 -0.280316\n0.75 0.238275\nName: 16361, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.12238465000704686, std values: 0.9385761286633953, min values: -2.0477799217050063, max values: 5.0, median values: -0.1348882615734517, and quantile values: 0.25 -0.899364\n0.50 -0.134888\n0.75 0.567650\nName: 16362, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6669550431791873, std values: 0.8656549140719579, min values: -2.521882829270847, max values: 4.0, median values: -0.828080878268581, and quantile values: 0.25 -1.309103\n0.50 -0.828081\n0.75 -0.140376\nName: 16363, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23570625119023708, std values: 0.8982837716289929, min values: -2.032741323324237, max values: 3.191712471143802, median values: 0.139898579902938, and quantile values: 0.25 -0.410359\n0.50 0.139899\n0.75 0.869968\nName: 16364, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24984298206883104, std values: 0.7701309307014372, min values: -2.196708653609315, max values: 6.0, median values: -0.2507317214494107, and quantile values: 0.25 -0.784794\n0.50 -0.250732\n0.75 0.216768\nName: 16365, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.27598747428666565, std values: 0.7676983623370796, min values: -2.046854428487538, max values: 6.0, median values: -0.3632261589228843, and quantile values: 0.25 -0.776396\n0.50 -0.363226\n0.75 0.151019\nName: 16366, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3319471266867428, std values: 1.0861421345339828, min values: -2.769191083399913, max values: 3.3014869995452325, median values: -0.3065220074028516, and quantile values: 0.25 -0.864485\n0.50 -0.306522\n0.75 0.374734\nName: 16367, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1834629287567932, std values: 0.8538733360357685, min values: -2.928515832252388, max values: 5.0, median values: 0.2520099191526091, and quantile values: 0.25 -0.288291\n0.50 0.252010\n0.75 0.706998\nName: 16368, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06831924148559593, std values: 0.9481631257144449, min values: -2.9029979285382743, max values: 3.667275230673496, median values: -0.0424839808748316, and quantile values: 0.25 -0.765579\n0.50 -0.042484\n0.75 0.601468\nName: 16369, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06926737336184595, std values: 0.8303690622469295, min values: -2.482931728382393, max values: 3.3636961113187773, median values: -0.1585167037039338, and quantile values: 0.25 -0.644064\n0.50 -0.158517\n0.75 0.454387\nName: 16370, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2133017968873612, std values: 0.9024143121413402, min values: -2.607565022042742, max values: 4.0, median values: 0.295184137204987, and quantile values: 0.25 -0.255879\n0.50 0.295184\n0.75 0.784249\nName: 16371, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0789450300624351, std values: 0.8664601400140967, min values: -2.4125199145038643, max values: 4.243835016543704, median values: 0.0522658630799712, and quantile values: 0.25 -0.500479\n0.50 0.052266\n0.75 0.644307\nName: 16372, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11514557545892225, std values: 0.8440136825012896, min values: -2.801183634509044, max values: 5.0, median values: -0.1638175787336243, and quantile values: 0.25 -0.743710\n0.50 -0.163818\n0.75 0.441115\nName: 16373, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13869976918149815, std values: 0.7973227212034899, min values: -2.5039074859839925, max values: 4.0, median values: -0.2060286132592966, and quantile values: 0.25 -0.677120\n0.50 -0.206029\n0.75 0.350076\nName: 16374, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13201736618746523, std values: 0.993355355382069, min values: -2.39180940730784, max values: 4.0, median values: -0.1297383202772333, and quantile values: 0.25 -0.939695\n0.50 -0.129738\n0.75 0.594717\nName: 16375, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0211550823690663, std values: 0.9113160017242489, min values: -2.0636979543884086, max values: 3.281452258958016, median values: -0.0379897846584589, and quantile values: 0.25 -0.617944\n0.50 -0.037990\n0.75 0.599720\nName: 16376, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04127834356868672, std values: 0.8707086009577234, min values: -3.045947208515832, max values: 6.0, median values: -0.0481857604339771, and quantile values: 0.25 -0.523788\n0.50 -0.048186\n0.75 0.467803\nName: 16377, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10330609041916311, std values: 0.8626966844041147, min values: -2.15141271142167, max values: 5.0, median values: 0.1678812208165533, and quantile values: 0.25 -0.477651\n0.50 0.167881\n0.75 0.702211\nName: 16378, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19599986775817993, std values: 0.8590056489824075, min values: -2.1142893459860668, max values: 4.0, median values: -0.2666022722889319, and quantile values: 0.25 -0.792328\n0.50 -0.266602\n0.75 0.389476\nName: 16379, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10752508986177073, std values: 0.9007442049775888, min values: -2.149743899676465, max values: 3.630507857092792, median values: -0.186609776650777, and quantile values: 0.25 -0.801901\n0.50 -0.186610\n0.75 0.516347\nName: 16380, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.052261641936802494, std values: 0.8664561001462738, min values: -2.6201435104586555, max values: 6.0, median values: 0.1078045467829905, and quantile values: 0.25 -0.502006\n0.50 0.107805\n0.75 0.648033\nName: 16381, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.028870095193061836, std values: 0.7757787817211456, min values: -2.105967784650795, max values: 4.0, median values: 0.0253152579552804, and quantile values: 0.25 -0.523679\n0.50 0.025315\n0.75 0.584624\nName: 16382, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2125928421965615, std values: 0.9086429696519656, min values: -2.5293911731823453, max values: 3.05919958255637, median values: 0.273122199312011, and quantile values: 0.25 -0.442451\n0.50 0.273122\n0.75 0.915683\nName: 16383, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.012933934221787248, std values: 1.0364315460143163, min values: -2.673549169958716, max values: 6.0, median values: -0.0229422602187342, and quantile values: 0.25 -0.744708\n0.50 -0.022942\n0.75 0.732876\nName: 16384, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.23725983578823512, std values: 0.9298717093947572, min values: -2.634919142586459, max values: 6.0, median values: -0.3176138377731288, and quantile values: 0.25 -0.867771\n0.50 -0.317614\n0.75 0.374481\nName: 16385, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.3678940786605416, std values: 1.1016512659137423, min values: -2.727901130262228, max values: 4.0, median values: -1.814728068648748, and quantile values: 0.25 -2.146282\n0.50 -1.814728\n0.75 -0.722576\nName: 16386, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.36660016507926346, std values: 0.7847359828514708, min values: -2.7257183488872623, max values: 5.0, median values: 0.444121814624513, and quantile values: 0.25 -0.119030\n0.50 0.444122\n0.75 0.890345\nName: 16387, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.48501645676206717, std values: 1.2208503082616988, min values: -2.673549169958716, max values: 6.0, median values: 0.5124353206039882, and quantile values: 0.25 -0.284179\n0.50 0.512435\n0.75 1.463980\nName: 16388, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1370456850529653, std values: 1.1268455410346465, min values: -2.8467638118011016, max values: 5.0, median values: -0.111960460691306, and quantile values: 0.25 -0.690970\n0.50 -0.111960\n0.75 0.592934\nName: 16389, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19366469590502491, std values: 0.8483370793321477, min values: -2.1547684225520003, max values: 3.598076523509904, median values: 0.2784257388171257, and quantile values: 0.25 -0.387457\n0.50 0.278426\n0.75 0.784086\nName: 16390, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09016776364694941, std values: 0.8657464272769171, min values: -2.7825548156447035, max values: 6.0, median values: -0.1549511465661638, and quantile values: 0.25 -0.686780\n0.50 -0.154951\n0.75 0.451088\nName: 16391, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1557211456775104, std values: 0.9563979024916454, min values: -2.2065783767301927, max values: 6.0, median values: 0.0451809047319317, and quantile values: 0.25 -0.587109\n0.50 0.045181\n0.75 0.850247\nName: 16392, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23943289548515315, std values: 0.9392420362527057, min values: -1.960359390357887, max values: 4.278004674434932, median values: 0.0916409074506723, and quantile values: 0.25 -0.390654\n0.50 0.091641\n0.75 0.810897\nName: 16393, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2988329052961634, std values: 0.8407444847254173, min values: -2.469941537133514, max values: 4.0, median values: 0.2564038339816855, and quantile values: 0.25 -0.248547\n0.50 0.256404\n0.75 0.864965\nName: 16394, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05904488529410751, std values: 1.2762805117307232, min values: -2.944950884974346, max values: 3.721862465295849, median values: 0.1134521886110581, and quantile values: 0.25 -0.599993\n0.50 0.113452\n0.75 0.898397\nName: 16395, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43468737918366335, std values: 0.9071513353806694, min values: -2.222049826555007, max values: 3.1227871431249503, median values: 0.4590341758166508, and quantile values: 0.25 -0.225601\n0.50 0.459034\n0.75 1.156267\nName: 16396, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.26008379359847317, std values: 0.8255333499266312, min values: -2.158148574998896, max values: 3.336438412828754, median values: -0.3155762064322099, and quantile values: 0.25 -0.807535\n0.50 -0.315576\n0.75 0.171166\nName: 16397, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05838323587039308, std values: 0.9871330456834673, min values: -2.620939317041317, max values: 3.528773265847577, median values: 0.0391433574845133, and quantile values: 0.25 -0.728057\n0.50 0.039143\n0.75 0.747763\nName: 16398, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27880735946721924, std values: 0.7302154340960421, min values: -1.996697506499118, max values: 3.3636961113187773, median values: 0.2967518339916629, and quantile values: 0.25 -0.169008\n0.50 0.296752\n0.75 0.731827\nName: 16399, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1436802135687141, std values: 0.9301867145794696, min values: -2.10832026762241, max values: 5.0, median values: 0.2158937949686253, and quantile values: 0.25 -0.526989\n0.50 0.215894\n0.75 0.789090\nName: 16400, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04082737228191352, std values: 0.759475621576266, min values: -2.73836943861057, max values: 3.0, median values: 0.0264132721536182, and quantile values: 0.25 -0.531397\n0.50 0.026413\n0.75 0.425777\nName: 16401, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.47132204511072173, std values: 0.9316835465518725, min values: -2.2398683045325223, max values: 3.8226908388056136, median values: 0.4158777650170034, and quantile values: 0.25 -0.130215\n0.50 0.415878\n0.75 1.103794\nName: 16402, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5470100606667655, std values: 0.829856027502256, min values: -2.066019572692439, max values: 4.0, median values: -0.6731699702858872, and quantile values: 0.25 -1.164691\n0.50 -0.673170\n0.75 -0.083479\nName: 16403, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12122679731270171, std values: 0.9104914037538202, min values: -2.5825978442440407, max values: 6.0, median values: 0.075722795792408, and quantile values: 0.25 -0.567686\n0.50 0.075723\n0.75 0.752590\nName: 16404, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19735106626497662, std values: 0.7917664069630644, min values: -2.161181455793125, max values: 6.0, median values: 0.1532769668121804, and quantile values: 0.25 -0.277541\n0.50 0.153277\n0.75 0.653204\nName: 16405, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4158463269874773, std values: 0.815143554026888, min values: -2.128045234184984, max values: 3.0, median values: 0.4876348305871135, and quantile values: 0.25 -0.132670\n0.50 0.487635\n0.75 1.020379\nName: 16406, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13564116117806, std values: 0.8962563158751722, min values: -2.6201435104586555, max values: 6.0, median values: 0.064590715256626, and quantile values: 0.25 -0.529571\n0.50 0.064591\n0.75 0.742455\nName: 16407, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28744187924840314, std values: 0.8531290337980023, min values: -1.9652261322507751, max values: 3.9905524164385566, median values: 0.3284042623539179, and quantile values: 0.25 -0.253645\n0.50 0.328404\n0.75 0.814041\nName: 16408, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19409060999113079, std values: 0.7439684500391516, min values: -2.0314387868277453, max values: 3.379902545505621, median values: -0.202456980802422, and quantile values: 0.25 -0.717139\n0.50 -0.202457\n0.75 0.284471\nName: 16409, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22482794260592415, std values: 0.867827020885918, min values: -2.024977263287256, max values: 4.0, median values: 0.2735638139592414, and quantile values: 0.25 -0.402971\n0.50 0.273564\n0.75 0.839085\nName: 16410, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05808951077896597, std values: 0.7239288443171529, min values: -2.3283264742626213, max values: 3.132053530264631, median values: -0.0685938152667151, and quantile values: 0.25 -0.525412\n0.50 -0.068594\n0.75 0.367013\nName: 16411, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31797578183272124, std values: 0.8224684500919892, min values: -2.226424194672579, max values: 4.0, median values: 0.3432741086123818, and quantile values: 0.25 -0.221626\n0.50 0.343274\n0.75 0.836198\nName: 16412, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25850940700954805, std values: 0.9464894924364807, min values: -3.2960357033722465, max values: 2.9640616449178703, median values: 0.3926870341754332, and quantile values: 0.25 -0.310909\n0.50 0.392687\n0.75 0.968742\nName: 16413, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2722521999394201, std values: 0.840450160502955, min values: -2.163837561516034, max values: 5.0, median values: 0.3344849796318031, and quantile values: 0.25 -0.281003\n0.50 0.334485\n0.75 0.863327\nName: 16414, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.023281572761077944, std values: 1.1167204443533751, min values: -2.732564679617164, max values: 3.0, median values: 0.1863677676594489, and quantile values: 0.25 -0.594625\n0.50 0.186368\n0.75 0.734065\nName: 16415, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33218115575670343, std values: 0.8894119304519851, min values: -2.0441770656208704, max values: 6.0, median values: 0.3754913208892871, and quantile values: 0.25 -0.288759\n0.50 0.375491\n0.75 0.983369\nName: 16416, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12435064661604368, std values: 0.831416797235345, min values: -2.4176069991382847, max values: 6.0, median values: 0.0519956946684668, and quantile values: 0.25 -0.452501\n0.50 0.051996\n0.75 0.647743\nName: 16417, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5799751875341574, std values: 0.9724323264509153, min values: -2.928515832252388, max values: 5.0, median values: -0.6418949833885818, and quantile values: 0.25 -1.228587\n0.50 -0.641895\n0.75 0.093635\nName: 16418, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3604495834939492, std values: 0.8797996633864688, min values: -2.226424194672579, max values: 4.0, median values: 0.4134768144428865, and quantile values: 0.25 -0.252034\n0.50 0.413477\n0.75 1.002249\nName: 16419, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09077885017434303, std values: 0.9248304613272194, min values: -2.4960309093026924, max values: 3.0, median values: -0.0877492230371898, and quantile values: 0.25 -0.822352\n0.50 -0.087749\n0.75 0.561872\nName: 16420, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2908776503044458, std values: 1.2676996340182627, min values: -2.933035609461076, max values: 5.0, median values: 0.5396590325909331, and quantile values: 0.25 -0.389608\n0.50 0.539659\n0.75 1.164864\nName: 16421, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2792500923733902, std values: 0.838512470643763, min values: -2.4536054974529624, max values: 6.0, median values: 0.1989544242981814, and quantile values: 0.25 -0.245428\n0.50 0.198954\n0.75 0.742601\nName: 16422, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11489092007777243, std values: 0.7743987040885818, min values: -2.693453432157769, max values: 3.2696814875916886, median values: 0.0738724928549573, and quantile values: 0.25 -0.423030\n0.50 0.073872\n0.75 0.628821\nName: 16423, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1728725643176576, std values: 0.7730634736090993, min values: -2.073524544085168, max values: 3.721862465295849, median values: 0.2147945676196616, and quantile values: 0.25 -0.336638\n0.50 0.214795\n0.75 0.670312\nName: 16424, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1765935446370655, std values: 0.7999939875691291, min values: -2.01378119875672, max values: 3.455472209455805, median values: 0.2524734901844382, and quantile values: 0.25 -0.365143\n0.50 0.252473\n0.75 0.746612\nName: 16425, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26102771195391244, std values: 0.8213058459597131, min values: -2.769191083399913, max values: 3.0838352979250487, median values: 0.2176700217349878, and quantile values: 0.25 -0.241606\n0.50 0.217670\n0.75 0.779338\nName: 16426, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10325611838250316, std values: 0.9479475414980553, min values: -2.6404955031131814, max values: 5.0, median values: -0.0798109602449357, and quantile values: 0.25 -0.613159\n0.50 -0.079811\n0.75 0.458978\nName: 16427, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5975141288861727, std values: 0.9830361040378606, min values: -2.563932271513275, max values: 5.0, median values: -0.7348221529135432, and quantile values: 0.25 -1.401506\n0.50 -0.734822\n0.75 0.054031\nName: 16428, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3657941938877331, std values: 0.7964664436818777, min values: -2.027551721113156, max values: 3.2696814875916886, median values: -0.4554879612011701, and quantile values: 0.25 -0.925317\n0.50 -0.455488\n0.75 0.074287\nName: 16429, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22491243141142067, std values: 0.846760811676339, min values: -2.642042398333877, max values: 3.0, median values: -0.2757357388022267, and quantile values: 0.25 -0.729314\n0.50 -0.275736\n0.75 0.304467\nName: 16430, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12203813141310474, std values: 0.8032765375547203, min values: -2.419133598913117, max values: 3.319774799707247, median values: 0.1207341125379885, and quantile values: 0.25 -0.391676\n0.50 0.120734\n0.75 0.587207\nName: 16431, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14414678983473067, std values: 0.8636043397588852, min values: -2.620939317041317, max values: 2.862971749830791, median values: -0.2438208746611816, and quantile values: 0.25 -0.844778\n0.50 -0.243821\n0.75 0.466882\nName: 16432, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19396532022658936, std values: 0.8565009976313327, min values: -2.842043939794492, max values: 3.1801075704642923, median values: -0.1994424116765843, and quantile values: 0.25 -0.807230\n0.50 -0.199442\n0.75 0.378236\nName: 16433, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0956406053534284, std values: 1.0174359344412218, min values: -2.63315074164461, max values: 6.0, median values: 0.0042542236362579, and quantile values: 0.25 -0.853810\n0.50 0.004254\n0.75 0.670623\nName: 16434, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.122860229510705, std values: 1.4926462287354516, min values: -2.944950884974346, max values: 4.243835016543704, median values: 0.2749920492003682, and quantile values: 0.25 -1.723642\n0.50 0.274992\n0.75 0.919964\nName: 16435, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.10191157491016108, std values: 0.8181180687393255, min values: -2.506827530467421, max values: 4.0, median values: 0.0433592634482192, and quantile values: 0.25 -0.460963\n0.50 0.043359\n0.75 0.649325\nName: 16436, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3071462869582459, std values: 0.943946690659285, min values: -2.58513369695146, max values: 4.0, median values: 0.3253539471171666, and quantile values: 0.25 -0.235843\n0.50 0.325354\n0.75 0.891811\nName: 16437, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.9631562006590817, std values: 1.3505621634169345, min values: -2.727901130262228, max values: 4.0, median values: -1.6529432372278574, and quantile values: 0.25 -2.140406\n0.50 -1.652943\n0.75 0.204576\nName: 16438, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2115726330362909, std values: 0.9015103032562624, min values: -2.084038461791521, max values: 6.0, median values: 0.1278267364908313, and quantile values: 0.25 -0.426314\n0.50 0.127827\n0.75 0.844170\nName: 16439, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2335834387547157, std values: 0.9319473119032748, min values: -2.27710446206836, max values: 3.390469008396469, median values: 0.2103035505728861, and quantile values: 0.25 -0.336670\n0.50 0.210304\n0.75 0.802813\nName: 16440, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08970064502986988, std values: 1.0023210045618105, min values: -2.9090251609554527, max values: 6.0, median values: 0.0002478538200686, and quantile values: 0.25 -0.622585\n0.50 0.000248\n0.75 0.556816\nName: 16441, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4802395960685448, std values: 0.9273624102112044, min values: -2.125402219364062, max values: 3.528773265847577, median values: 0.5199818190859347, and quantile values: 0.25 -0.170303\n0.50 0.519982\n0.75 1.238607\nName: 16442, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.30735113737842157, std values: 0.8624834661968088, min values: -2.482931728382393, max values: 3.036311757241655, median values: 0.3827837605384665, and quantile values: 0.25 -0.279310\n0.50 0.382784\n0.75 0.926251\nName: 16443, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3136432535025953, std values: 0.8420430814957459, min values: -2.062772413318988, max values: 3.1485882570365185, median values: 0.3930527950470547, and quantile values: 0.25 -0.279972\n0.50 0.393053\n0.75 0.950849\nName: 16444, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1878293923170024, std values: 0.9232763520377043, min values: -2.5122218748354936, max values: 3.103622965243153, median values: 0.1366611796820452, and quantile values: 0.25 -0.337064\n0.50 0.136661\n0.75 0.762604\nName: 16445, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16934609961593494, std values: 0.8657806705687422, min values: -2.739804196611005, max values: 6.0, median values: -0.229925247509245, and quantile values: 0.25 -0.737957\n0.50 -0.229925\n0.75 0.376180\nName: 16446, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18857942173548564, std values: 0.8610070596139076, min values: -2.8282523283494294, max values: 4.243835016543704, median values: -0.2982093553534829, and quantile values: 0.25 -0.781550\n0.50 -0.298209\n0.75 0.352656\nName: 16447, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08758615286039566, std values: 1.102806049762328, min values: -2.838932175687192, max values: 4.0, median values: 0.2095545572801064, and quantile values: 0.25 -0.582665\n0.50 0.209555\n0.75 0.926578\nName: 16448, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4696004242236236, std values: 1.068727030413537, min values: -2.769191083399913, max values: 3.1175233493066874, median values: -0.6328872184214751, and quantile values: 0.25 -1.327873\n0.50 -0.632887\n0.75 0.299964\nName: 16449, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6335793985364784, std values: 0.8295674472701009, min values: -2.4960309093026924, max values: 3.0, median values: -0.7956448793484314, and quantile values: 0.25 -1.281487\n0.50 -0.795645\n0.75 -0.153253\nName: 16450, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17578167758880822, std values: 1.1425855128704991, min values: -2.476285024008804, max values: 3.528773265847577, median values: -0.3826311789176013, and quantile values: 0.25 -1.055206\n0.50 -0.382631\n0.75 0.425874\nName: 16451, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4205253455139154, std values: 0.9389037220931976, min values: -2.867984306888309, max values: 3.5021977227593246, median values: -0.3526560692720115, and quantile values: 0.25 -1.061449\n0.50 -0.352656\n0.75 0.166970\nName: 16452, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14900043791340634, std values: 0.8819580656720087, min values: -2.891990595045606, max values: 6.0, median values: -0.1105195285236004, and quantile values: 0.25 -0.677802\n0.50 -0.110520\n0.75 0.377295\nName: 16453, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.43218601610709767, std values: 0.8923267540134092, min values: -1.8895596812023248, max values: 3.3014869995452325, median values: 0.3586996104725115, and quantile values: 0.25 -0.161556\n0.50 0.358700\n0.75 1.068051\nName: 16454, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.38440322819045186, std values: 1.0388230675754067, min values: -2.92272757463548, max values: 6.0, median values: -0.3069988992504174, and quantile values: 0.25 -1.050770\n0.50 -0.306999\n0.75 0.313067\nName: 16455, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0016225368033972057, std values: 0.9591798845667253, min values: -2.1352565847896168, max values: 3.496479817235339, median values: -0.137464565860969, and quantile values: 0.25 -0.706861\n0.50 -0.137465\n0.75 0.617401\nName: 16456, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.08467996122435768, std values: 0.7207578363909636, min values: -2.732564679617164, max values: 3.3483277116524426, median values: -0.1279100326134117, and quantile values: 0.25 -0.571653\n0.50 -0.127910\n0.75 0.345777\nName: 16457, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06850741680625888, std values: 0.7820456824904003, min values: -2.7648443048846945, max values: 3.528773265847577, median values: 0.1198620880195725, and quantile values: 0.25 -0.431664\n0.50 0.119862\n0.75 0.554759\nName: 16458, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.629447840720286, std values: 0.9845004449541974, min values: -2.8834699678265463, max values: 5.0, median values: -0.531910827726467, and quantile values: 0.25 -1.243215\n0.50 -0.531911\n0.75 -0.030162\nName: 16459, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.523925364790885, std values: 1.0360322384386256, min values: -2.949186837165601, max values: 4.0, median values: -0.5877851162517091, and quantile values: 0.25 -1.198115\n0.50 -0.587785\n0.75 0.157708\nName: 16460, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.015645143821086338, std values: 0.830034033844406, min values: -2.4536054974529624, max values: 6.0, median values: -0.0441636064368801, and quantile values: 0.25 -0.623929\n0.50 -0.044164\n0.75 0.609673\nName: 16461, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.28114806992350866, std values: 0.7693140410400373, min values: -2.2922073537322345, max values: 3.721862465295849, median values: -0.2503268789263566, and quantile values: 0.25 -0.857578\n0.50 -0.250327\n0.75 0.191376\nName: 16462, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.470587186518248, std values: 0.8424148741327471, min values: -2.240978518809748, max values: 5.0, median values: 0.5580132790774497, and quantile values: 0.25 -0.113690\n0.50 0.558013\n0.75 1.035209\nName: 16463, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14156752971343645, std values: 0.8474762536583088, min values: -2.210809954441838, max values: 6.0, median values: 0.07646115572607, and quantile values: 0.25 -0.502033\n0.50 0.076461\n0.75 0.722314\nName: 16464, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2595732739675585, std values: 0.8829235817590655, min values: -2.2012167772695554, max values: 3.627976272701048, median values: 0.3108117341801129, and quantile values: 0.25 -0.342359\n0.50 0.310812\n0.75 0.857510\nName: 16465, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0790891355466636, std values: 0.8865400649208844, min values: -2.3143400087643244, max values: 5.0, median values: -0.0426437776504277, and quantile values: 0.25 -0.764771\n0.50 -0.042644\n0.75 0.562484\nName: 16466, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32089777521176915, std values: 0.7414102293614117, min values: -1.7791557019173734, max values: 5.0, median values: 0.2908145662320126, and quantile values: 0.25 -0.172169\n0.50 0.290815\n0.75 0.784999\nName: 16467, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.06640868444243625, std values: 0.822037000753207, min values: -2.8451834694312192, max values: 3.3760121766849016, median values: 0.0627757618688143, and quantile values: 0.25 -0.485358\n0.50 0.062776\n0.75 0.533174\nName: 16468, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.37945809531175445, std values: 0.9136186372419299, min values: -2.365699495258936, max values: 5.0, median values: -0.5050958154311481, and quantile values: 0.25 -1.112967\n0.50 -0.505096\n0.75 0.209274\nName: 16469, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15083416203225858, std values: 0.7349857809051484, min values: -2.572123985342288, max values: 4.0, median values: -0.1248538271393251, and quantile values: 0.25 -0.655078\n0.50 -0.124854\n0.75 0.308645\nName: 16470, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20407467261201978, std values: 0.8181065966234463, min values: -2.177784223000163, max values: 3.216771431244405, median values: -0.1895431192746315, and quantile values: 0.25 -0.819815\n0.50 -0.189543\n0.75 0.360903\nName: 16471, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.41591243053628757, std values: 0.9462811823149637, min values: -2.7428415536925543, max values: 5.0, median values: -0.4805399535128398, and quantile values: 0.25 -1.139239\n0.50 -0.480540\n0.75 0.175821\nName: 16472, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05995312259863616, std values: 1.0296463330800933, min values: -2.842989614395848, max values: 5.0, median values: -0.0956526939782717, and quantile values: 0.25 -0.666903\n0.50 -0.095653\n0.75 0.578721\nName: 16473, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2908951124754546, std values: 0.7948958591178201, min values: -2.3771558481240653, max values: 4.0, median values: 0.3287530639168269, and quantile values: 0.25 -0.257845\n0.50 0.328753\n0.75 0.864685\nName: 16474, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19551286463649772, std values: 0.8749106903403658, min values: -2.9898739724800576, max values: 2.876849581118866, median values: -0.2771663402424658, and quantile values: 0.25 -0.884937\n0.50 -0.277166\n0.75 0.417981\nName: 16475, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13433398063217078, std values: 0.8498432847108974, min values: -2.267175988438518, max values: 5.0, median values: -0.1908908138757465, and quantile values: 0.25 -0.747653\n0.50 -0.190891\n0.75 0.398881\nName: 16476, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5897839887127091, std values: 0.8492181553775447, min values: -2.2851712105575097, max values: 5.0, median values: -0.7778022740466408, and quantile values: 0.25 -1.204726\n0.50 -0.777802\n0.75 -0.086041\nName: 16477, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.23533835353678217, std values: 0.8181163151163776, min values: -2.783691185534105, max values: 2.9078251235230463, median values: 0.1951075867385779, and quantile values: 0.25 -0.332639\n0.50 0.195108\n0.75 0.756130\nName: 16478, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.637567771193261, std values: 0.8623696745317594, min values: -2.422675917011138, max values: 5.0, median values: 0.6910651500906678, and quantile values: 0.25 0.038730\n0.50 0.691065\n0.75 1.285365\nName: 16479, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.27232303401333263, std values: 1.0133442286502106, min values: -3.12109453895821, max values: 3.5908526919299577, median values: 0.3749119367575474, and quantile values: 0.25 -0.329768\n0.50 0.374912\n0.75 1.029049\nName: 16480, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3176840432145555, std values: 0.8434850046531501, min values: -2.133376301904917, max values: 2.928515832252385, median values: -0.3520993068833693, and quantile values: 0.25 -0.982705\n0.50 -0.352099\n0.75 0.334543\nName: 16481, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31659067954546605, std values: 0.9213084222587502, min values: -2.085975048264995, max values: 3.132053530264631, median values: -0.3912661451533505, and quantile values: 0.25 -1.118820\n0.50 -0.391266\n0.75 0.371846\nName: 16482, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.21874286306585183, std values: 0.8799632221880795, min values: -2.095235858466877, max values: 6.0, median values: 0.1623946090083204, and quantile values: 0.25 -0.325304\n0.50 0.162395\n0.75 0.789053\nName: 16483, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13475116541393392, std values: 0.8283442561200451, min values: -2.5501488616953263, max values: 3.2328207660681025, median values: -0.2113576277699702, and quantile values: 0.25 -0.704812\n0.50 -0.211358\n0.75 0.378507\nName: 16484, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.329201630916735, std values: 0.7490321753743314, min values: -1.8762045031110053, max values: 6.0, median values: 0.3744867823955884, and quantile values: 0.25 -0.170520\n0.50 0.374487\n0.75 0.826248\nName: 16485, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11396479053961808, std values: 0.9357913202212832, min values: -2.72346435408924, max values: 4.0, median values: -0.129118654590082, and quantile values: 0.25 -0.847855\n0.50 -0.129119\n0.75 0.560679\nName: 16486, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0882213526713014, std values: 1.1121093638342325, min values: -3.24173864501462, max values: 3.5908526919299577, median values: 0.1354381835137851, and quantile values: 0.25 -0.756459\n0.50 0.135438\n0.75 0.686810\nName: 16487, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.14380877876427947, std values: 1.062976447139648, min values: -2.620939317041317, max values: 4.0, median values: 0.3815857950491245, and quantile values: 0.25 -0.371534\n0.50 0.381586\n0.75 0.866488\nName: 16488, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2998360588247807, std values: 0.7705403342173919, min values: -2.0340473177314244, max values: 5.0, median values: -0.383673997765534, and quantile values: 0.25 -0.832984\n0.50 -0.383674\n0.75 0.158803\nName: 16489, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.033736949790669234, std values: 0.8346232303529677, min values: -2.5213149333948146, max values: 3.147276669305989, median values: -0.0802780164441684, and quantile values: 0.25 -0.587336\n0.50 -0.080278\n0.75 0.477545\nName: 16490, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.32342564454789535, std values: 0.8032516817012638, min values: -2.5825978442440407, max values: 6.0, median values: 0.314930402094887, and quantile values: 0.25 -0.219052\n0.50 0.314930\n0.75 0.892585\nName: 16491, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2744843605880683, std values: 0.8781525843496056, min values: -2.1285756251111843, max values: 3.155379154255993, median values: -0.2105410189214419, and quantile values: 0.25 -0.945578\n0.50 -0.210541\n0.75 0.308356\nName: 16492, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2608140560729314, std values: 0.7459534811039352, min values: -2.556631690482005, max values: 3.066111439712683, median values: 0.3156999310233682, and quantile values: 0.25 -0.230864\n0.50 0.315700\n0.75 0.799472\nName: 16493, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13595776646870392, std values: 0.8258109348938707, min values: -2.1238235090034925, max values: 5.0, median values: -0.1756637456789271, and quantile values: 0.25 -0.677258\n0.50 -0.175664\n0.75 0.342246\nName: 16494, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.03152808305134433, std values: 0.7498921993131192, min values: -2.507084845405409, max values: 3.784832159836258, median values: -0.079092674542164, and quantile values: 0.25 -0.498390\n0.50 -0.079093\n0.75 0.408496\nName: 16495, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08562670072928337, std values: 0.7773213391951077, min values: -2.5759052915632985, max values: 3.0, median values: 0.0840960470493246, and quantile values: 0.25 -0.453350\n0.50 0.084096\n0.75 0.573936\nName: 16496, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24868081018151755, std values: 0.8312267466969187, min values: -2.6506653156356563, max values: 6.0, median values: 0.2536448589571878, and quantile values: 0.25 -0.267906\n0.50 0.253645\n0.75 0.776364\nName: 16497, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4651775780230178, std values: 0.9084656892154075, min values: -2.1232100101643527, max values: 6.0, median values: 0.5338993780694161, and quantile values: 0.25 -0.179734\n0.50 0.533899\n0.75 1.187179\nName: 16498, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.025144355512397302, std values: 1.0764385427159973, min values: -2.5743883495350026, max values: 5.0, median values: -0.0571557011789439, and quantile values: 0.25 -0.717793\n0.50 -0.057156\n0.75 0.747471\nName: 16499, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -1.0239141101248839, std values: 1.151795823818307, min values: -2.944950884974346, max values: 3.0, median values: -0.8743584109918071, and quantile values: 0.25 -2.137144\n0.50 -0.874358\n0.75 -0.152050\nName: 16500, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13975224128108774, std values: 0.841776143225442, min values: -2.657750824678472, max values: 5.0, median values: -0.1742126859854011, and quantile values: 0.25 -0.661478\n0.50 -0.174213\n0.75 0.392509\nName: 16501, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.12422889618511401, std values: 0.798793135737062, min values: -2.525362520654854, max values: 5.0, median values: 0.0958733229547911, and quantile values: 0.25 -0.390271\n0.50 0.095873\n0.75 0.577618\nName: 16502, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.24129187828952378, std values: 1.4742821570897915, min values: -3.124705982383478, max values: 2.835011869533198, median values: -0.1161167496196683, and quantile values: 0.25 -1.663569\n0.50 -0.116117\n0.75 0.959929\nName: 16503, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6791020996832846, std values: 0.9533783287200469, min values: -2.5825978442440407, max values: 6.0, median values: 0.7858233321839417, and quantile values: 0.25 0.025315\n0.50 0.785823\n0.75 1.361553\nName: 16504, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10808364144727528, std values: 0.8362055309687719, min values: -2.084038461791521, max values: 2.921039391187937, median values: -0.1356515168890382, and quantile values: 0.25 -0.694260\n0.50 -0.135652\n0.75 0.436082\nName: 16505, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.46666185749161077, std values: 0.846761752394648, min values: -1.943774464622537, max values: 5.0, median values: 0.5232001438804829, and quantile values: 0.25 -0.162673\n0.50 0.523200\n0.75 1.090762\nName: 16506, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13432030586703608, std values: 0.8459216165258602, min values: -2.4963833417585755, max values: 4.0, median values: 0.107610650156562, and quantile values: 0.25 -0.431549\n0.50 0.107611\n0.75 0.680779\nName: 16507, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.13215768327996918, std values: 0.9365764404971224, min values: -2.693453432157769, max values: 3.0, median values: 0.0069249651560217, and quantile values: 0.25 -0.790181\n0.50 0.006925\n0.75 0.549179\nName: 16508, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20545213705515156, std values: 0.784616322633608, min values: -2.0407136277056424, max values: 5.0, median values: 0.2005838966406225, and quantile values: 0.25 -0.318360\n0.50 0.200584\n0.75 0.723076\nName: 16509, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.349226720796489, std values: 0.7311051965404916, min values: -2.469941537133514, max values: 4.0, median values: 0.34924664997574, and quantile values: 0.25 -0.114546\n0.50 0.349247\n0.75 0.813382\nName: 16510, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.009287056974552827, std values: 0.8178468097837495, min values: -2.1017566422541964, max values: 3.784832159836258, median values: -0.050307998299722, and quantile values: 0.25 -0.533237\n0.50 -0.050308\n0.75 0.512597\nName: 16511, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4239195999430273, std values: 0.868231751809944, min values: -2.6643920803793266, max values: 6.0, median values: -0.5177518339882163, and quantile values: 0.25 -1.099260\n0.50 -0.517752\n0.75 0.165916\nName: 16512, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.682880757051836, std values: 1.000508345346164, min values: -2.778044916685896, max values: 3.306454397423372, median values: -0.8920246936571955, and quantile values: 0.25 -1.492895\n0.50 -0.892025\n0.75 -0.087079\nName: 16513, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6039489821207362, std values: 0.8847542292171727, min values: -2.684072796644972, max values: 6.0, median values: -0.7030831133371195, and quantile values: 0.25 -1.212379\n0.50 -0.703083\n0.75 -0.050931\nName: 16514, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.31865744119507244, std values: 0.8326292653883633, min values: -2.1047747435038886, max values: 4.0, median values: 0.3787439019736375, and quantile values: 0.25 -0.243164\n0.50 0.378744\n0.75 0.861339\nName: 16515, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13199687174637836, std values: 1.0190881288941536, min values: -2.264034258932616, max values: 3.8226908388056136, median values: 0.0109902658175125, and quantile values: 0.25 -0.700428\n0.50 0.010990\n0.75 0.867209\nName: 16516, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.19890980582458256, std values: 1.0283029441821767, min values: -2.860922438481449, max values: 3.5427287984042666, median values: 0.2360369650146581, and quantile values: 0.25 -0.528348\n0.50 0.236037\n0.75 1.028503\nName: 16517, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.22610725876627333, std values: 1.0175428598134875, min values: -2.6270253558526173, max values: 4.0, median values: -0.3190595071985622, and quantile values: 0.25 -0.929381\n0.50 -0.319060\n0.75 0.448472\nName: 16518, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.0016258831711349698, std values: 0.7610073228370295, min values: -2.4125199145038643, max values: 4.0, median values: 0.0244022529553691, and quantile values: 0.25 -0.506849\n0.50 0.024402\n0.75 0.497695\nName: 16519, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1949205816821357, std values: 0.8170824090305997, min values: -2.638186942019407, max values: 4.0, median values: -0.2332915145643802, and quantile values: 0.25 -0.697769\n0.50 -0.233292\n0.75 0.266679\nName: 16520, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2323990295126084, std values: 1.0723685575205235, min values: -2.580492024304656, max values: 3.721862465295849, median values: 0.3119969415097343, and quantile values: 0.25 -0.590122\n0.50 0.311997\n0.75 1.090934\nName: 16521, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.11316620406410191, std values: 0.9087615400904576, min values: -2.2915911556076085, max values: 3.5581019918925243, median values: -0.1529416403104002, and quantile values: 0.25 -0.865126\n0.50 -0.152942\n0.75 0.562603\nName: 16522, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.28616856656053813, std values: 0.8458190735331165, min values: -2.730840794324401, max values: 3.496479817235339, median values: 0.2785116229625382, and quantile values: 0.25 -0.251186\n0.50 0.278512\n0.75 0.790466\nName: 16523, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.05900720183250077, std values: 0.8128951998330131, min values: -2.0884920198234647, max values: 3.390469008396469, median values: -0.099618516329309, and quantile values: 0.25 -0.605519\n0.50 -0.099619\n0.75 0.402774\nName: 16524, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.1677461571342733, std values: 0.7306066382189337, min values: -2.300042081328127, max values: 4.0, median values: -0.2086365967709253, and quantile values: 0.25 -0.649347\n0.50 -0.208637\n0.75 0.251869\nName: 16525, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15272961957526673, std values: 0.9614940473760423, min values: -2.446475285346346, max values: 3.236860296211547, median values: -0.1273547418642553, and quantile values: 0.25 -0.941972\n0.50 -0.127355\n0.75 0.550957\nName: 16526, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.06632930002280085, std values: 1.013145762530634, min values: -2.6072570508709387, max values: 4.0, median values: -0.1021831599189126, and quantile values: 0.25 -0.795385\n0.50 -0.102183\n0.75 0.653786\nName: 16527, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3000955662836026, std values: 0.9637017850546936, min values: -3.0223671288921072, max values: 3.477886732511886, median values: 0.2929010748464806, and quantile values: 0.25 -0.447010\n0.50 0.292901\n0.75 1.075387\nName: 16528, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2840848751709292, std values: 0.9997208934817713, min values: -2.810662060852592, max values: 3.5581019918925243, median values: 0.1844442283209704, and quantile values: 0.25 -0.430563\n0.50 0.184444\n0.75 0.972314\nName: 16529, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4311503463142193, std values: 1.2702679525949105, min values: -2.928515832252388, max values: 5.0, median values: 0.4716985935043817, and quantile values: 0.25 -0.386121\n0.50 0.471699\n0.75 1.427032\nName: 16530, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11807768994097431, std values: 0.8023575034995889, min values: -2.7024513197886706, max values: 3.569037956734876, median values: 0.1485407074021087, and quantile values: 0.25 -0.352690\n0.50 0.148541\n0.75 0.640647\nName: 16531, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3519363615643908, std values: 0.85237300411285, min values: -2.662750916816848, max values: 5.0, median values: -0.4335729023361854, and quantile values: 0.25 -0.925997\n0.50 -0.433573\n0.75 0.205473\nName: 16532, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.032141156649604465, std values: 1.0970553600836732, min values: -2.6652153608723106, max values: 5.0, median values: 0.197381641796078, and quantile values: 0.25 -0.616086\n0.50 0.197382\n0.75 0.886057\nName: 16533, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.022706772087349433, std values: 0.9536750400949051, min values: -2.673549169958716, max values: 6.0, median values: 0.057837247621927, and quantile values: 0.25 -0.519644\n0.50 0.057837\n0.75 0.550407\nName: 16534, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.13612373754237572, std values: 0.8926404231565278, min values: -2.8680719719444903, max values: 3.319774799707247, median values: 0.057179374335267, and quantile values: 0.25 -0.445861\n0.50 0.057179\n0.75 0.763370\nName: 16535, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.011423194941094627, std values: 0.8536735576397079, min values: -2.56026492390943, max values: 4.0, median values: 0.0030568685103333, and quantile values: 0.25 -0.477843\n0.50 0.003057\n0.75 0.513055\nName: 16536, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08840313562757894, std values: 0.8451690109421129, min values: -2.7939007019027, max values: 3.141939528112806, median values: 0.1927784282444405, and quantile values: 0.25 -0.387544\n0.50 0.192778\n0.75 0.630534\nName: 16537, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4693134995760337, std values: 0.895382130851136, min values: -2.6466193392086392, max values: 4.0, median values: -0.5975326669524101, and quantile values: 0.25 -1.137223\n0.50 -0.597533\n0.75 0.113357\nName: 16538, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18996008887938562, std values: 0.9980698352833239, min values: -2.6652153608723106, max values: 5.0, median values: -0.2109076633503424, and quantile values: 0.25 -0.953749\n0.50 -0.210908\n0.75 0.483531\nName: 16539, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07631751184922897, std values: 0.7695612990855818, min values: -2.1154918763173005, max values: 5.0, median values: -0.0550252466551489, and quantile values: 0.25 -0.625543\n0.50 -0.055025\n0.75 0.444139\nName: 16540, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14006869377487766, std values: 0.8801771984543049, min values: -2.160984325879425, max values: 5.0, median values: -0.2096963988593477, and quantile values: 0.25 -0.765516\n0.50 -0.209696\n0.75 0.425023\nName: 16541, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.08468971148772832, std values: 0.7781051709059105, min values: -2.081017018698733, max values: 3.0932086550988465, median values: 0.0530133801782127, and quantile values: 0.25 -0.410732\n0.50 0.053013\n0.75 0.560666\nName: 16542, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3551154688986405, std values: 0.8397865877809629, min values: -2.0884068356849723, max values: 3.147276669305989, median values: 0.3921337901850936, and quantile values: 0.25 -0.232047\n0.50 0.392134\n0.75 0.920387\nName: 16543, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2210370649367688, std values: 0.8295552027096519, min values: -2.001164707410773, max values: 6.0, median values: -0.3226547659732052, and quantile values: 0.25 -0.818650\n0.50 -0.322655\n0.75 0.294120\nName: 16544, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02255595273019326, std values: 1.1684983096930603, min values: -2.7911820177911006, max values: 3.3337116327022187, median values: 0.2872315677062854, and quantile values: 0.25 -0.537210\n0.50 0.287232\n0.75 0.824710\nName: 16545, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.1989031350379108, std values: 0.7878996025988206, min values: -2.0884920198234647, max values: 3.627976272701048, median values: 0.2019986483818439, and quantile values: 0.25 -0.311303\n0.50 0.201999\n0.75 0.712174\nName: 16546, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33939166873533655, std values: 0.8177900720281595, min values: -1.989871054037948, max values: 4.0, median values: 0.3993671988198901, and quantile values: 0.25 -0.246755\n0.50 0.399367\n0.75 0.958865\nName: 16547, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.49093993251819784, std values: 0.8339131107778347, min values: -3.066111439712689, max values: 3.349054967837474, median values: 0.5398839285945195, and quantile values: 0.25 -0.086664\n0.50 0.539884\n0.75 1.092907\nName: 16548, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.5094722196273495, std values: 0.8264259877169274, min values: -2.118599024240829, max values: 6.0, median values: -0.6113211269098953, and quantile values: 0.25 -1.144245\n0.50 -0.611321\n0.75 -0.011676\nName: 16549, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2381336851840913, std values: 0.9479717131820522, min values: -2.4823451998031074, max values: 3.2906806286429298, median values: 0.2961910841762335, and quantile values: 0.25 -0.319523\n0.50 0.296191\n0.75 0.824321\nName: 16550, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6601779243704287, std values: 1.1103519633758752, min values: -2.584593648802428, max values: 4.278004674434932, median values: 0.6878261064288104, and quantile values: 0.25 -0.133720\n0.50 0.687826\n0.75 1.479245\nName: 16551, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.4249248331543039, std values: 1.1221772566536066, min values: -3.0148736195915964, max values: 3.415255285860171, median values: -0.5575877748169422, and quantile values: 0.25 -1.289696\n0.50 -0.557588\n0.75 0.339366\nName: 16552, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.16111955836134742, std values: 1.0256964617235667, min values: -2.7428415536925543, max values: 5.0, median values: 0.1695593524347828, and quantile values: 0.25 -0.565390\n0.50 0.169559\n0.75 0.979764\nName: 16553, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22656624729783778, std values: 0.7127382001206819, min values: -1.96718593080454, max values: 5.0, median values: 0.248473915568803, and quantile values: 0.25 -0.206741\n0.50 0.248474\n0.75 0.678783\nName: 16554, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.04618283715048332, std values: 0.7556597228954759, min values: -2.2227756731649166, max values: 5.0, median values: -0.0348442806146655, and quantile values: 0.25 -0.529190\n0.50 -0.034844\n0.75 0.419664\nName: 16555, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.25032751114538, std values: 0.8864352939580965, min values: -2.745904427753044, max values: 5.0, median values: 0.3403675677599252, and quantile values: 0.25 -0.245404\n0.50 0.340368\n0.75 0.838144\nName: 16556, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5057412298776993, std values: 0.8399145517868327, min values: -2.673549169958716, max values: 4.0, median values: 0.5792107724396683, and quantile values: 0.25 -0.018932\n0.50 0.579211\n0.75 1.129179\nName: 16557, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.036560589997070694, std values: 0.7650620166674507, min values: -2.374446373878101, max values: 4.0, median values: 0.0106829992172201, and quantile values: 0.25 -0.553270\n0.50 0.010683\n0.75 0.461606\nName: 16558, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39378363673353406, std values: 1.0666058682349855, min values: -2.299460330888208, max values: 4.026668017837955, median values: 0.4715548480153698, and quantile values: 0.25 -0.476608\n0.50 0.471555\n0.75 1.290176\nName: 16559, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.33876598813694375, std values: 1.0384681593682856, min values: -2.608390851963037, max values: 5.0, median values: 0.3953656430182312, and quantile values: 0.25 -0.292481\n0.50 0.395366\n0.75 1.150483\nName: 16560, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.18103063469896577, std values: 0.9429235337869709, min values: -2.9278427058120164, max values: 6.0, median values: -0.2735147430319617, and quantile values: 0.25 -0.850295\n0.50 -0.273515\n0.75 0.448868\nName: 16561, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.29166103114061587, std values: 0.8749637521360831, min values: -2.2477784840641744, max values: 4.0, median values: 0.2072358377564359, and quantile values: 0.25 -0.299271\n0.50 0.207236\n0.75 0.881294\nName: 16562, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26957286215009124, std values: 1.0081091326182077, min values: -2.5544460869462697, max values: 4.0, median values: 0.3489658870247756, and quantile values: 0.25 -0.438930\n0.50 0.348966\n0.75 0.951444\nName: 16563, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.029448524265245215, std values: 0.9299782222203709, min values: -2.9244241290758834, max values: 3.2266531185902125, median values: -0.1241348242869396, and quantile values: 0.25 -0.675873\n0.50 -0.124135\n0.75 0.579079\nName: 16564, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.21768928257194042, std values: 0.853399683781421, min values: -2.607565022042742, max values: 4.0, median values: -0.1510193545821783, and quantile values: 0.25 -0.817457\n0.50 -0.151019\n0.75 0.415082\nName: 16565, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18360775734660184, std values: 0.968898153674686, min values: -2.3771558481240653, max values: 4.0, median values: 0.2412651735730634, and quantile values: 0.25 -0.568094\n0.50 0.241265\n0.75 0.910970\nName: 16566, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.39973155835034035, std values: 0.7878832505269009, min values: -2.245752867605861, max values: 2.7727068387367733, median values: -0.5203286337596766, and quantile values: 0.25 -0.960104\n0.50 -0.520329\n0.75 0.087986\nName: 16567, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.37670417072842927, std values: 0.8575707584914142, min values: -2.618746139350171, max values: 4.243835016543704, median values: 0.3695673044766486, and quantile values: 0.25 -0.180936\n0.50 0.369567\n0.75 0.955278\nName: 16568, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6579177072189658, std values: 1.1799584556874574, min values: -2.109891368636471, max values: 5.0, median values: 0.4856394226572176, and quantile values: 0.25 -0.239494\n0.50 0.485639\n0.75 1.662581\nName: 16569, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10469196371619138, std values: 0.7848303337977945, min values: -2.226142485160892, max values: 5.0, median values: -0.1547808772773445, and quantile values: 0.25 -0.625600\n0.50 -0.154781\n0.75 0.348820\nName: 16570, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3161147428881393, std values: 0.9120006899315596, min values: -2.3497290779744566, max values: 5.0, median values: -0.4623941744115558, and quantile values: 0.25 -1.029852\n0.50 -0.462394\n0.75 0.293746\nName: 16571, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.20768616961243777, std values: 0.8913582544610364, min values: -2.279638670509252, max values: 6.0, median values: -0.3468862701822671, and quantile values: 0.25 -0.871026\n0.50 -0.346886\n0.75 0.363678\nName: 16572, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16268761566253992, std values: 1.0217769024575478, min values: -2.6466193392086392, max values: 4.0, median values: -0.1677374030266353, and quantile values: 0.25 -0.781261\n0.50 -0.167737\n0.75 0.542997\nName: 16573, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20627513060975614, std values: 0.8366102078451622, min values: -2.121861109115061, max values: 5.0, median values: 0.1443631031701102, and quantile values: 0.25 -0.356088\n0.50 0.144363\n0.75 0.722933\nName: 16574, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.025243493357561313, std values: 0.9065119564988807, min values: -2.1222500742240245, max values: 3.4566816047670264, median values: -0.1483764644390283, and quantile values: 0.25 -0.705269\n0.50 -0.148376\n0.75 0.565035\nName: 16575, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4309897192443374, std values: 0.9650848126604736, min values: -1.97960662713072, max values: 3.082096909284949, median values: 0.5793505327167124, and quantile values: 0.25 -0.284031\n0.50 0.579351\n0.75 1.183321\nName: 16576, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.6069934258242431, std values: 1.120426920777818, min values: -2.928515832252388, max values: 5.0, median values: -0.5921227368673156, and quantile values: 0.25 -1.345427\n0.50 -0.592123\n0.75 0.184540\nName: 16577, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.009026192179672628, std values: 0.8013233694075256, min values: -2.7428415536925543, max values: 5.0, median values: -0.0190032697057131, and quantile values: 0.25 -0.504931\n0.50 -0.019003\n0.75 0.499649\nName: 16578, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.3477848451598747, std values: 0.9780280113912763, min values: -2.6270253558526173, max values: 4.0, median values: -0.4278585313637631, and quantile values: 0.25 -1.051632\n0.50 -0.427859\n0.75 0.303303\nName: 16579, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.05825619577540823, std values: 0.8671731346672494, min values: -2.0744709221036657, max values: 3.071284484560209, median values: 0.0183414037766029, and quantile values: 0.25 -0.543105\n0.50 0.018341\n0.75 0.620754\nName: 16580, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.040796908007732516, std values: 0.8462136786527558, min values: -2.7016525309724218, max values: 3.721862465295849, median values: 0.1157360480101846, and quantile values: 0.25 -0.526935\n0.50 0.115736\n0.75 0.627044\nName: 16581, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.24644601613511768, std values: 0.8481684824426894, min values: -2.0889107352751046, max values: 5.0, median values: 0.326301079335575, and quantile values: 0.25 -0.308212\n0.50 0.326301\n0.75 0.854714\nName: 16582, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.6212558733730817, std values: 0.9807445601340163, min values: -2.688157591415518, max values: 5.0, median values: 0.6638790227185803, and quantile values: 0.25 -0.093162\n0.50 0.663879\n0.75 1.400686\nName: 16583, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4673142725430806, std values: 1.179689038364773, min values: -2.9029979285382743, max values: 6.0, median values: 0.6622321441852477, and quantile values: 0.25 -0.285647\n0.50 0.662232\n0.75 1.366947\nName: 16584, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.17243452058770103, std values: 0.8128674902362534, min values: -2.7648443048846945, max values: 3.2696814875916886, median values: 0.2232004817223986, and quantile values: 0.25 -0.367645\n0.50 0.223200\n0.75 0.725140\nName: 16585, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.003847596200210883, std values: 0.9892592452856669, min values: -2.118599024240829, max values: 3.784832159836258, median values: -0.0653486173048453, and quantile values: 0.25 -0.818034\n0.50 -0.065349\n0.75 0.718974\nName: 16586, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.17269225625972798, std values: 1.0515923770437232, min values: -2.733804248449497, max values: 3.528773265847577, median values: -0.1037047150359628, and quantile values: 0.25 -0.813021\n0.50 -0.103705\n0.75 0.443423\nName: 16587, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.11333273179472926, std values: 0.9661347677267055, min values: -2.046854428487538, max values: 5.0, median values: 0.1234009727359812, and quantile values: 0.25 -0.611207\n0.50 0.123401\n0.75 0.898191\nName: 16588, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10892404007663782, std values: 0.9299160898822105, min values: -2.6466193392086392, max values: 4.0, median values: -0.2022639935524388, and quantile values: 0.25 -0.712471\n0.50 -0.202264\n0.75 0.445429\nName: 16589, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.16189325938204316, std values: 0.9868919334378587, min values: -2.769191083399913, max values: 3.867701659180865, median values: -0.0800172005445224, and quantile values: 0.25 -0.688838\n0.50 -0.080017\n0.75 0.462841\nName: 16590, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2021107229625151, std values: 0.8670036928763526, min values: -2.5820330744015787, max values: 4.0, median values: 0.2424703447574178, and quantile values: 0.25 -0.309194\n0.50 0.242470\n0.75 0.741219\nName: 16591, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.010227202412661554, std values: 0.9109429374766019, min values: -2.6125469093725684, max values: 3.415255285860171, median values: -0.1276879115904219, and quantile values: 0.25 -0.673453\n0.50 -0.127688\n0.75 0.608020\nName: 16592, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.09407417069637708, std values: 1.2013014674039242, min values: -3.124705982383478, max values: 3.236860296211547, median values: -0.0647074342822868, and quantile values: 0.25 -0.821271\n0.50 -0.064707\n0.75 0.781646\nName: 16593, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.004040812456662036, std values: 0.8158401081828466, min values: -2.1339127560970463, max values: 6.0, median values: 0.0112913582811297, and quantile values: 0.25 -0.539112\n0.50 0.011291\n0.75 0.487559\nName: 16594, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.22484637698352924, std values: 0.8216337134606618, min values: -2.2038853164231766, max values: 3.9048392686725855, median values: 0.2920501281377501, and quantile values: 0.25 -0.341996\n0.50 0.292050\n0.75 0.804562\nName: 16595, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.030141702639558576, std values: 1.1714602218722725, min values: -2.955641696055872, max values: 3.709787027503053, median values: 0.1531095725406804, and quantile values: 0.25 -0.561968\n0.50 0.153110\n0.75 0.839690\nName: 16596, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4064738594152659, std values: 0.7515334697104799, min values: -2.4960309093026924, max values: 3.319774799707247, median values: 0.4359628052237828, and quantile values: 0.25 -0.068120\n0.50 0.435963\n0.75 0.889036\nName: 16597, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.0595316021122301, std values: 0.8139187750254908, min values: -2.589966702820638, max values: 6.0, median values: -0.0310607325512078, and quantile values: 0.25 -0.588965\n0.50 -0.031061\n0.75 0.412697\nName: 16598, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.2188539459675226, std values: 0.7963522719152306, min values: -2.623568901859613, max values: 4.0, median values: -0.2146790754780844, and quantile values: 0.25 -0.714803\n0.50 -0.214679\n0.75 0.266725\nName: 16599, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.39042074394628884, std values: 0.9052032996023962, min values: -2.020286901424804, max values: 6.0, median values: 0.4044644195839407, and quantile values: 0.25 -0.323932\n0.50 0.404464\n0.75 1.087047\nName: 16600, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.07817329144264827, std values: 0.874548700501113, min values: -2.156806272086999, max values: 3.017846660960028, median values: -0.1565061309322064, and quantile values: 0.25 -0.663360\n0.50 -0.156506\n0.75 0.439689\nName: 16601, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.18351790637763063, std values: 0.799717003635416, min values: -1.9815643918577683, max values: 3.135426854633533, median values: 0.1315022576773759, and quantile values: 0.25 -0.326603\n0.50 0.131502\n0.75 0.681212\nName: 16602, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.20891121724469988, std values: 0.9074248828341029, min values: -2.732564679617164, max values: 3.9048392686725855, median values: 0.3011263030787603, and quantile values: 0.25 -0.325122\n0.50 0.301126\n0.75 0.779016\nName: 16603, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.497478483162718, std values: 0.9002385727631717, min values: -2.9029979285382743, max values: 6.0, median values: -0.592155553285127, and quantile values: 0.25 -1.202076\n0.50 -0.592156\n0.75 0.131882\nName: 16604, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.8800413247674191, std values: 1.4740557534587138, min values: -2.727901130262228, max values: 4.0, median values: -1.6877491624678858, and quantile values: 0.25 -2.140406\n0.50 -1.687749\n0.75 0.441995\nName: 16605, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.02593804907544647, std values: 0.7741510152277004, min values: -2.1285756251111843, max values: 6.0, median values: 0.0102998851962483, and quantile values: 0.25 -0.489419\n0.50 0.010300\n0.75 0.525823\nName: 16606, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.3745568817357267, std values: 1.1371079630293641, min values: -2.088894678224596, max values: 3.390469008396469, median values: 0.2356126642594385, and quantile values: 0.25 -0.539342\n0.50 0.235613\n0.75 1.157020\nName: 16607, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10067333959551261, std values: 0.9634750867905605, min values: -2.505189322022038, max values: 6.0, median values: -0.2401217044434096, and quantile values: 0.25 -0.811931\n0.50 -0.240122\n0.75 0.476177\nName: 16608, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.437705278701982, std values: 0.9702207772955034, min values: -2.4823451998031074, max values: 3.784832159836258, median values: 0.5550056503998979, and quantile values: 0.25 -0.076153\n0.50 0.555006\n0.75 1.094411\nName: 16609, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.15445620102507268, std values: 0.8068198503040491, min values: -2.0898718573687374, max values: 3.438667023696733, median values: 0.1849010068587136, and quantile values: 0.25 -0.433630\n0.50 0.184901\n0.75 0.761381\nName: 16610, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.5221919869918183, std values: 1.0691540185001296, min values: -2.2161166709808824, max values: 6.0, median values: 0.4546934168339152, and quantile values: 0.25 -0.320847\n0.50 0.454693\n0.75 1.286121\nName: 16611, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4088427022154255, std values: 0.8790259591345724, min values: -2.044138536277291, max values: 3.2071942083719924, median values: 0.4363786944274648, and quantile values: 0.25 -0.244967\n0.50 0.436379\n0.75 1.093594\nName: 16612, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.26445683204141474, std values: 0.8158947981284344, min values: -2.030572340113053, max values: 4.0, median values: 0.3770284075045214, and quantile values: 0.25 -0.319726\n0.50 0.377028\n0.75 0.854646\nName: 16613, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.024050308690291997, std values: 0.9047737369608031, min values: -2.6635706018350787, max values: 3.319774799707247, median values: -0.0065704395162309, and quantile values: 0.25 -0.506222\n0.50 -0.006570\n0.75 0.540261\nName: 16614, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.10649804458636176, std values: 0.8226536776901727, min values: -2.662750916816848, max values: 5.0, median values: -0.0689855787262113, and quantile values: 0.25 -0.708028\n0.50 -0.068986\n0.75 0.469709\nName: 16615, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.2849638980412069, std values: 0.7557608196901994, min values: -2.157583502182305, max values: 3.784832159836258, median values: 0.34079334596803, and quantile values: 0.25 -0.207670\n0.50 0.340793\n0.75 0.771103\nName: 16616, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.09882944499384405, std values: 0.8401921649825252, min values: -2.5201815750705507, max values: 4.0, median values: 0.1435861339321605, and quantile values: 0.25 -0.472306\n0.50 0.143586\n0.75 0.656660\nName: 16617, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.15071532855724898, std values: 1.0164382224982436, min values: -2.8350118695332047, max values: 5.0, median values: -0.1616687830216856, and quantile values: 0.25 -0.861568\n0.50 -0.161669\n0.75 0.578330\nName: 16618, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.31176407805182327, std values: 1.021438129956839, min values: -2.8531572940820533, max values: 3.0, median values: -0.2869113945134735, and quantile values: 0.25 -0.892107\n0.50 -0.286911\n0.75 0.382534\nName: 16619, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.19455402924826445, std values: 0.7784213876863184, min values: -2.3922473154067863, max values: 5.0, median values: -0.2239272238505652, and quantile values: 0.25 -0.732335\n0.50 -0.223927\n0.75 0.279727\nName: 16620, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.44824518474354585, std values: 1.0270279864232967, min values: -2.618746139350171, max values: 3.124705982383484, median values: -0.5609983015215542, and quantile values: 0.25 -1.250827\n0.50 -0.560998\n0.75 0.240996\nName: 16621, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: 0.4551891928515735, std values: 0.9203734215568985, min values: -2.7871422803648627, max values: 3.630507857092792, median values: 0.5952738806762478, and quantile values: 0.25 -0.048185\n0.50 0.595274\n0.75 1.060772\nName: 16622, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.011527625832639485, std values: 0.8223706167881384, min values: -2.3771558481240653, max values: 4.0, median values: -0.0292784723028703, and quantile values: 0.25 -0.551710\n0.50 -0.029278\n0.75 0.457376\nName: 16623, dtype: float64, respectively.", "A sample with 2917 features representing prote data with mean values: -0.14843432858545194, std values: 0.9284218249095988, min values: -2.841647375415054, max values: 5.0, median values: -0.1825199660488243, and quantile values: 0.25 -0.839622\n0.50 -0.182520\n0.75 0.502001\nName: 16624, dtype: float64, respectively."] \ No newline at end of file diff --git a/data/age_sex/Renal_Disease_1/train/ids.json b/data/age_sex/Renal_Disease_1/train/ids.json new file mode 100644 index 0000000000000000000000000000000000000000..812382d64d7c5aec2f1698aa515139d67826c7ba --- /dev/null +++ b/data/age_sex/Renal_Disease_1/train/ids.json @@ -0,0 +1 @@ +[1000348, 1000413, 1001894, 1002032, 1002726, 1002755, 1002817, 1002844, 1002995, 1003059, 1003740, 1003898, 1004026, 1004034, 1004067, 1005508, 1005781, 1006058, 1006498, 1006832, 1007014, 1007237, 1007358, 1007426, 1008269, 1008302, 1008351, 1008364, 1008516, 1008565, 1008663, 1008776, 1008826, 1009277, 1009507, 1009716, 1010572, 1011145, 1011328, 1011679, 1012013, 1012159, 1012596, 1012655, 1012854, 1013218, 1013266, 1013743, 1013850, 1013873, 1013980, 1014213, 1014379, 1014440, 1014504, 1014663, 1015260, 1015406, 1015494, 1016116, 1016299, 1016473, 1016660, 1017191, 1017285, 1017401, 1017561, 1017614, 1017974, 1018713, 1018797, 1019618, 1020985, 1021238, 1021485, 1022409, 1022597, 1022841, 1023278, 1023625, 1023797, 1024119, 1024187, 1025113, 1025503, 1025679, 1025718, 1025740, 1025987, 1026172, 1026576, 1026958, 1027133, 1027371, 1027652, 1028307, 1028963, 1029433, 1029752, 1029971, 1030306, 1031329, 1031752, 1032012, 1032174, 1032919, 1033048, 1033083, 1033252, 1033275, 1033494, 1033697, 1034040, 1034695, 1034733, 1034888, 1034974, 1035142, 1035546, 1036161, 1036597, 1037343, 1037388, 1037565, 1037977, 1038138, 1038288, 1039133, 1039232, 1039340, 1039594, 1039772, 1040231, 1040503, 1040511, 1040664, 1040919, 1041005, 1041294, 1041614, 1041896, 1042127, 1042610, 1042632, 1042982, 1043444, 1043558, 1043823, 1044775, 1045108, 1045315, 1045557, 1045834, 1045867, 1046115, 1046275, 1046566, 1046584, 1046778, 1046835, 1047021, 1047057, 1047227, 1047253, 1047630, 1048078, 1048182, 1048638, 1049175, 1049296, 1049633, 1049839, 1050051, 1050096, 1050346, 1050692, 1050714, 1051014, 1051086, 1051455, 1052440, 1052628, 1052672, 1052754, 1053268, 1053662, 1053686, 1053733, 1054179, 1054477, 1054828, 1054973, 1055011, 1055473, 1055728, 1055869, 1056203, 1057012, 1057122, 1057454, 1058457, 1058690, 1059098, 1059271, 1059587, 1059720, 1059814, 1060342, 1060378, 1060673, 1060981, 1061218, 1061240, 1061458, 1062462, 1063175, 1063381, 1063426, 1063794, 1063840, 1063961, 1064359, 1064998, 1065074, 1065449, 1065502, 1065848, 1066320, 1066748, 1067324, 1068275, 1068817, 1069476, 1069718, 1070645, 1071254, 1071408, 1071530, 1071728, 1071920, 1072142, 1072935, 1073000, 1073106, 1074409, 1074666, 1075336, 1075490, 1075563, 1075910, 1075932, 1076286, 1076309, 1076425, 1076602, 1076740, 1076919, 1077009, 1077312, 1077736, 1077819, 1077933, 1078424, 1079052, 1079162, 1079200, 1079582, 1080036, 1080482, 1080690, 1080752, 1080854, 1081281, 1081732, 1082633, 1082649, 1082910, 1084317, 1084380, 1084651, 1086332, 1086524, 1087494, 1087571, 1087872, 1088233, 1088955, 1089192, 1089226, 1089368, 1089402, 1089824, 1089875, 1090034, 1090276, 1090339, 1090988, 1091017, 1091255, 1091508, 1091514, 1091648, 1091683, 1091904, 1092230, 1092888, 1093557, 1093878, 1094829, 1094850, 1095064, 1095161, 1095387, 1096374, 1097069, 1097940, 1098309, 1098363, 1098792, 1098821, 1100069, 1100130, 1100329, 1100373, 1100588, 1100861, 1101281, 1101691, 1102008, 1102187, 1102649, 1102839, 1102853, 1103157, 1103780, 1103858, 1103979, 1105018, 1105452, 1105843, 1106332, 1106575, 1106831, 1106847, 1106917, 1107137, 1107196, 1107357, 1107697, 1107950, 1108444, 1109394, 1109860, 1110010, 1110293, 1110645, 1111067, 1113074, 1113953, 1114183, 1114216, 1115467, 1116679, 1117312, 1117330, 1117464, 1118018, 1118241, 1118342, 1118532, 1118765, 1119427, 1119492, 1119617, 1119834, 1120338, 1120536, 1120967, 1121572, 1121785, 1122200, 1122245, 1122274, 1122598, 1122968, 1123900, 1124048, 1124054, 1124430, 1124962, 1125371, 1125675, 1125822, 1126080, 1126105, 1126479, 1127214, 1127833, 1128123, 1128543, 1128596, 1128752, 1128793, 1128899, 1128992, 1129764, 1129829, 1130303, 1130576, 1130673, 1130997, 1131829, 1132003, 1132133, 1133369, 1133489, 1133591, 1133604, 1133892, 1133948, 1134774, 1135373, 1136635, 1136672, 1136725, 1136783, 1136930, 1137051, 1137148, 1137282, 1137536, 1137545, 1137692, 1138711, 1139476, 1139849, 1140305, 1140318, 1140772, 1141139, 1141402, 1142191, 1142206, 1142419, 1142525, 1142631, 1142815, 1144049, 1144142, 1145428, 1145830, 1146095, 1146682, 1146794, 1147502, 1147564, 1147655, 1148865, 1148960, 1149468, 1149669, 1149755, 1150108, 1150200, 1150635, 1151032, 1151076, 1151151, 1151931, 1152270, 1152282, 1152352, 1152435, 1152605, 1153648, 1153982, 1154193, 1154243, 1154572, 1154682, 1155372, 1155461, 1155727, 1156163, 1156487, 1157897, 1158004, 1158445, 1158659, 1159112, 1159596, 1159634, 1160211, 1160312, 1160496, 1160595, 1160781, 1160801, 1160982, 1161482, 1161939, 1161992, 1162122, 1162136, 1162344, 1162718, 1162865, 1163076, 1163201, 1163584, 1163703, 1163872, 1164230, 1164378, 1165004, 1165134, 1165895, 1165928, 1166480, 1167351, 1167405, 1167890, 1168014, 1168682, 1169447, 1169462, 1169791, 1170014, 1170237, 1170296, 1170892, 1171356, 1171372, 1171454, 1172141, 1172168, 1172217, 1172787, 1173004, 1173111, 1173218, 1173501, 1174001, 1174052, 1175540, 1175566, 1175592, 1176011, 1176157, 1176836, 1177303, 1177650, 1177913, 1177997, 1178562, 1179812, 1180082, 1180623, 1181387, 1181472, 1181692, 1182398, 1182584, 1182789, 1183158, 1183231, 1183688, 1183849, 1184541, 1184780, 1185091, 1185290, 1185420, 1185632, 1186000, 1186899, 1186927, 1187062, 1187489, 1187621, 1187884, 1187907, 1187961, 1188052, 1188281, 1188396, 1188776, 1188834, 1189066, 1189172, 1189475, 1189765, 1189820, 1189981, 1190295, 1190718, 1191071, 1191419, 1191576, 1191629, 1191936, 1192035, 1192758, 1193249, 1193428, 1193480, 1193581, 1193729, 1193773, 1194244, 1194905, 1195001, 1195516, 1195635, 1196151, 1196566, 1196613, 1197111, 1197606, 1197972, 1198078, 1198559, 1198568, 1198996, 1199670, 1199925, 1200076, 1200275, 1200863, 1200872, 1201450, 1201541, 1201646, 1202917, 1202944, 1203045, 1203690, 1204125, 1204640, 1204773, 1204989, 1205086, 1205160, 1205322, 1205572, 1205591, 1205932, 1206898, 1206901, 1207377, 1208367, 1208493, 1208510, 1208614, 1208798, 1208864, 1209114, 1209549, 1209582, 1209799, 1210072, 1210290, 1210377, 1211177, 1211746, 1212372, 1212461, 1212696, 1212766, 1213275, 1213931, 1214005, 1214144, 1214212, 1214798, 1215167, 1215400, 1216249, 1216605, 1216639, 1217024, 1217173, 1217269, 1217826, 1218014, 1218187, 1218279, 1218345, 1218369, 1218907, 1219339, 1219495, 1219523, 1220040, 1220268, 1220599, 1221057, 1221189, 1221685, 1221944, 1222431, 1222523, 1222744, 1223300, 1223358, 1223411, 1223528, 1223556, 1223706, 1223759, 1223785, 1224278, 1226628, 1226732, 1226994, 1227270, 1227346, 1227812, 1228137, 1228164, 1228357, 1229113, 1229483, 1230345, 1231526, 1231938, 1232097, 1232362, 1232588, 1232966, 1232984, 1233004, 1233685, 1233743, 1234379, 1234439, 1234663, 1235007, 1235179, 1235275, 1235406, 1235613, 1235711, 1235929, 1236408, 1237144, 1237757, 1238127, 1238267, 1238368, 1238464, 1238893, 1239132, 1239282, 1239387, 1239500, 1239545, 1239581, 1239762, 1239885, 1240217, 1241114, 1241959, 1241985, 1242296, 1242426, 1242768, 1242932, 1243067, 1243601, 1243822, 1243964, 1244012, 1244407, 1244461, 1244821, 1244975, 1245018, 1245583, 1245815, 1246049, 1246271, 1246469, 1247224, 1247914, 1248684, 1248762, 1248967, 1249118, 1249312, 1249683, 1249852, 1249949, 1250299, 1250327, 1251035, 1251211, 1251479, 1252092, 1252879, 1252896, 1253656, 1253691, 1254103, 1254189, 1254587, 1255002, 1255015, 1255107, 1255161, 1255806, 1255989, 1256193, 1256381, 1256712, 1257013, 1257329, 1257433, 1257498, 1257642, 1257953, 1258094, 1259681, 1260019, 1260162, 1261304, 1261645, 1262319, 1262640, 1262990, 1263312, 1263586, 1263661, 1263893, 1263933, 1264031, 1264095, 1264152, 1264616, 1264706, 1264871, 1265068, 1265705, 1265753, 1266053, 1266487, 1266733, 1266765, 1267149, 1267756, 1268070, 1268103, 1268239, 1268436, 1268715, 1268917, 1269433, 1269470, 1269719, 1269775, 1270641, 1270895, 1271859, 1271955, 1271978, 1272755, 1272817, 1273122, 1273833, 1274170, 1274210, 1274283, 1275648, 1276036, 1276291, 1276314, 1276350, 1276551, 1276678, 1276899, 1276984, 1277050, 1277138, 1278213, 1278707, 1278761, 1278867, 1278959, 1280309, 1280372, 1280578, 1280784, 1281608, 1281864, 1282211, 1282289, 1282595, 1282745, 1282797, 1282982, 1283107, 1283199, 1283387, 1283640, 1283692, 1283942, 1284013, 1284106, 1284482, 1284596, 1285269, 1285549, 1285977, 1286316, 1286767, 1287049, 1287501, 1288937, 1289296, 1289467, 1289698, 1290692, 1290729, 1291374, 1291932, 1291999, 1292131, 1292351, 1292379, 1292492, 1292598, 1293084, 1293704, 1293900, 1294099, 1294527, 1295157, 1295366, 1295447, 1295486, 1295559, 1295735, 1296140, 1296153, 1296278, 1297391, 1297753, 1298000, 1298848, 1299227, 1299292, 1299325, 1299361, 1299399, 1299538, 1299552, 1300001, 1300466, 1300635, 1300912, 1301179, 1301316, 1301412, 1302444, 1302500, 1302877, 1302903, 1302990, 1303211, 1303573, 1303661, 1303904, 1304426, 1304892, 1304983, 1305169, 1305483, 1305696, 1305740, 1305771, 1305857, 1306172, 1306864, 1306997, 1307384, 1308917, 1309159, 1309449, 1310473, 1310813, 1310845, 1311203, 1311451, 1311797, 1312018, 1312084, 1312128, 1312733, 1312815, 1314098, 1314142, 1314814, 1314829, 1314928, 1315581, 1315729, 1315967, 1316322, 1316649, 1316730, 1316759, 1316907, 1317141, 1317787, 1318461, 1318542, 1318784, 1318821, 1319518, 1319863, 1320098, 1320677, 1320808, 1320935, 1321107, 1321282, 1321480, 1321885, 1321942, 1322099, 1322485, 1322539, 1322809, 1323041, 1323158, 1323309, 1323696, 1323919, 1324149, 1324340, 1324462, 1324845, 1325044, 1325267, 1325965, 1326112, 1326280, 1326689, 1327138, 1327264, 1327768, 1327785, 1328379, 1328732, 1329460, 1330425, 1330849, 1331039, 1331259, 1331673, 1332267, 1333233, 1333480, 1334185, 1334421, 1334626, 1334667, 1334992, 1335236, 1335405, 1335680, 1335855, 1335959, 1336681, 1336697, 1336809, 1336891, 1337814, 1338339, 1338408, 1338486, 1338512, 1338541, 1338638, 1339086, 1339478, 1339621, 1341291, 1341308, 1342295, 1343600, 1343789, 1344419, 1344782, 1345354, 1345399, 1345575, 1346037, 1346666, 1347060, 1347320, 1347994, 1348296, 1348369, 1348657, 1348723, 1349042, 1349318, 1349495, 1349717, 1349988, 1350196, 1350316, 1350600, 1350697, 1350703, 1350789, 1351339, 1352240, 1352538, 1353228, 1353564, 1354352, 1354708, 1355050, 1355187, 1355243, 1355434, 1355616, 1355698, 1356100, 1356679, 1356975, 1358311, 1358583, 1358721, 1359269, 1359484, 1359628, 1359941, 1360022, 1360579, 1360854, 1360876, 1361114, 1361147, 1361162, 1361379, 1361466, 1361968, 1361977, 1362029, 1362279, 1362892, 1362925, 1363232, 1363845, 1363869, 1363902, 1364094, 1364620, 1364975, 1365583, 1366004, 1366065, 1366167, 1367275, 1367321, 1368786, 1369063, 1369153, 1369211, 1369949, 1370020, 1370088, 1370773, 1370859, 1371029, 1371047, 1371251, 1371336, 1371509, 1371741, 1372038, 1372173, 1372186, 1372302, 1372379, 1372834, 1372842, 1373389, 1374571, 1374767, 1375003, 1375104, 1375408, 1375988, 1376009, 1376359, 1376838, 1377136, 1377250, 1377589, 1378738, 1379348, 1379422, 1379519, 1379972, 1380053, 1380326, 1380389, 1380896, 1381065, 1381070, 1381218, 1381606, 1381963, 1382541, 1382559, 1382675, 1382800, 1382858, 1382915, 1384063, 1384166, 1384290, 1384394, 1384625, 1385690, 1385752, 1385775, 1385810, 1387064, 1387233, 1387346, 1387409, 1387574, 1387859, 1388370, 1388505, 1388908, 1389169, 1389555, 1389924, 1389960, 1390649, 1390682, 1390948, 1391262, 1391295, 1392331, 1392642, 1392775, 1393070, 1393266, 1393612, 1393630, 1393808, 1394024, 1394213, 1394635, 1394680, 1394776, 1395010, 1395188, 1395260, 1395844, 1396392, 1396624, 1396822, 1397798, 1397802, 1397820, 1398758, 1399079, 1399088, 1400326, 1400757, 1401004, 1401310, 1401400, 1402011, 1403031, 1403300, 1404118, 1404289, 1404479, 1404654, 1404699, 1404700, 1404838, 1406052, 1406150, 1406396, 1407037, 1407513, 1407708, 1408224, 1408238, 1408412, 1408540, 1408553, 1408658, 1408962, 1409229, 1409344, 1409919, 1410990, 1411160, 1411544, 1411665, 1411785, 1412024, 1412388, 1412890, 1412959, 1413294, 1413716, 1414179, 1414566, 1414636, 1414711, 1414726, 1414986, 1415165, 1416063, 1416547, 1417503, 1417696, 1417882, 1418433, 1418752, 1419205, 1419271, 1419720, 1419935, 1420238, 1420485, 1420973, 1421104, 1421133, 1421340, 1421506, 1421512, 1421858, 1422239, 1422332, 1422481, 1423832, 1423899, 1424051, 1424176, 1424480, 1424491, 1425336, 1425839, 1426567, 1426960, 1427713, 1428561, 1428757, 1428802, 1429200, 1429906, 1430209, 1431343, 1431388, 1432237, 1432892, 1433248, 1433429, 1433735, 1434295, 1434407, 1434526, 1434664, 1434993, 1435206, 1435303, 1435721, 1436167, 1436310, 1436325, 1436944, 1437412, 1437423, 1437778, 1438393, 1438795, 1438990, 1439140, 1439676, 1440175, 1440794, 1440805, 1441122, 1441309, 1441328, 1442069, 1442244, 1442280, 1442395, 1442433, 1442449, 1442520, 1442588, 1442678, 1442810, 1444087, 1444388, 1444471, 1445143, 1445238, 1445370, 1445423, 1445441, 1445681, 1445844, 1446149, 1446261, 1447117, 1448009, 1448242, 1448415, 1448860, 1449079, 1449161, 1449301, 1450332, 1451581, 1451762, 1452143, 1452246, 1452459, 1452645, 1452856, 1452880, 1452973, 1453688, 1453739, 1454225, 1454232, 1454299, 1454772, 1454881, 1455488, 1456194, 1456228, 1456291, 1456520, 1456642, 1456719, 1456918, 1456971, 1457073, 1457160, 1457193, 1457381, 1458222, 1458609, 1458906, 1459128, 1459191, 1459230, 1459749, 1460145, 1460792, 1460857, 1461259, 1461686, 1461757, 1462056, 1462267, 1462758, 1463257, 1464634, 1465024, 1465162, 1465707, 1465799, 1465959, 1465994, 1466007, 1466025, 1466778, 1466789, 1466950, 1467098, 1467310, 1467413, 1467481, 1467814, 1467886, 1468089, 1468198, 1468523, 1468813, 1468869, 1468881, 1469008, 1469300, 1469313, 1469616, 1469712, 1470121, 1470541, 1471091, 1471648, 1472493, 1473492, 1473582, 1473842, 1474310, 1474552, 1475110, 1475132, 1476288, 1476730, 1476768, 1477611, 1478023, 1478169, 1478273, 1479054, 1479137, 1479441, 1479485, 1479835, 1480075, 1481219, 1481252, 1482020, 1482282, 1482786, 1483722, 1483838, 1483860, 1484369, 1484621, 1484706, 1484866, 1484961, 1484976, 1485158, 1486342, 1486419, 1486561, 1487157, 1487248, 1487414, 1487638, 1487791, 1488167, 1488332, 1488501, 1488668, 1488847, 1489045, 1489112, 1489256, 1489263, 1489579, 1489678, 1489854, 1490290, 1490394, 1490437, 1490982, 1491244, 1491876, 1493061, 1493179, 1493518, 1493891, 1493929, 1493995, 1494092, 1494180, 1494452, 1494820, 1495413, 1495519, 1495829, 1495944, 1496536, 1496684, 1496859, 1496967, 1497114, 1497453, 1497521, 1497811, 1498741, 1499210, 1499261, 1499559, 1499845, 1500055, 1500104, 1500133, 1500170, 1500207, 1500353, 1500675, 1502163, 1502367, 1503364, 1503826, 1504218, 1504239, 1504361, 1504630, 1505605, 1505618, 1505666, 1505795, 1505978, 1506095, 1506723, 1507404, 1507543, 1507564, 1507611, 1507724, 1507966, 1508158, 1508461, 1509025, 1509304, 1509872, 1510386, 1510404, 1510992, 1511878, 1512014, 1512467, 1512604, 1512892, 1512961, 1513104, 1513568, 1513638, 1513979, 1514059, 1514637, 1514688, 1514938, 1514987, 1515230, 1515460, 1516126, 1517734, 1517986, 1518015, 1518480, 1518522, 1518926, 1519072, 1519166, 1519377, 1519846, 1520651, 1520946, 1521144, 1521378, 1521554, 1522028, 1522234, 1522700, 1523806, 1523812, 1523823, 1524069, 1524314, 1525222, 1525343, 1525379, 1525725, 1525754, 1526099, 1526697, 1527189, 1527400, 1528523, 1528675, 1528687, 1528717, 1528735, 1528822, 1529322, 1529381, 1530319, 1530500, 1530627, 1530671, 1531050, 1531279, 1531649, 1532019, 1532379, 1532609, 1532707, 1532994, 1533066, 1533156, 1533583, 1533913, 1534054, 1535800, 1535915, 1536091, 1536140, 1536153, 1536683, 1536875, 1537085, 1537158, 1537454, 1537555, 1538331, 1538719, 1538971, 1539685, 1539808, 1540245, 1540388, 1540516, 1540799, 1540878, 1541076, 1541365, 1541370, 1541674, 1541809, 1541947, 1542002, 1542729, 1542762, 1542955, 1543226, 1543573, 1543904, 1544031, 1544300, 1544322, 1544839, 1544999, 1545174, 1545705, 1545718, 1546039, 1546040, 1547340, 1547353, 1547462, 1547486, 1547601, 1547675, 1548218, 1548400, 1549362, 1549854, 1550255, 1550625, 1550699, 1550949, 1550957, 1550998, 1551433, 1551655, 1551746, 1552059, 1552534, 1552637, 1552833, 1553115, 1553164, 1553252, 1553828, 1553929, 1554144, 1554493, 1554631, 1555167, 1555575, 1555847, 1555972, 1556894, 1557162, 1557396, 1557427, 1557453, 1557466, 1557680, 1557889, 1558442, 1558884, 1558983, 1559283, 1559327, 1560083, 1561693, 1561813, 1561988, 1562808, 1562886, 1562972, 1563626, 1563724, 1563832, 1564015, 1564536, 1564795, 1564806, 1565591, 1565884, 1565948, 1566197, 1566679, 1567736, 1568631, 1569440, 1569968, 1570532, 1570704, 1571021, 1571070, 1571284, 1571292, 1572011, 1572254, 1572305, 1572366, 1572988, 1573050, 1573467, 1573489, 1573580, 1574080, 1574437, 1575404, 1575611, 1575927, 1576200, 1576274, 1576889, 1577096, 1577841, 1577967, 1578430, 1578566, 1578734, 1578908, 1579651, 1580014, 1580657, 1580785, 1580839, 1580840, 1581317, 1581987, 1582449, 1582596, 1582719, 1583702, 1583895, 1584557, 1584889, 1585406, 1586299, 1586512, 1586675, 1586988, 1587662, 1587945, 1588420, 1588610, 1588632, 1588838, 1588965, 1589020, 1589868, 1591002, 1591096, 1592891, 1593273, 1593542, 1593696, 1593804, 1594067, 1594431, 1594646, 1594735, 1595028, 1595166, 1595464, 1595562, 1595700, 1596291, 1596746, 1596940, 1597288, 1597489, 1598269, 1599446, 1599647, 1599695, 1599896, 1600094, 1600356, 1600410, 1600766, 1601128, 1602192, 1602547, 1602562, 1602700, 1602838, 1603132, 1603319, 1603894, 1604457, 1604537, 1604690, 1605222, 1605549, 1605803, 1606238, 1606246, 1606365, 1606844, 1608055, 1608512, 1608638, 1608646, 1608772, 1609062, 1609279, 1609336, 1609670, 1610098, 1610575, 1610991, 1611639, 1611841, 1611989, 1613181, 1613407, 1614090, 1614232, 1614261, 1615072, 1616058, 1616177, 1616416, 1616551, 1617478, 1617794, 1617866, 1618024, 1618213, 1618557, 1618889, 1618923, 1619851, 1620248, 1620541, 1620881, 1621072, 1621105, 1621242, 1621415, 1621562, 1621781, 1622212, 1622268, 1622475, 1623388, 1623396, 1623799, 1623842, 1624474, 1624623, 1624814, 1624956, 1625125, 1625480, 1626467, 1627069, 1627810, 1629025, 1629099, 1629755, 1630471, 1630533, 1630811, 1631054, 1631137, 1631349, 1631929, 1632088, 1632125, 1632301, 1632942, 1633529, 1634014, 1634397, 1634840, 1635317, 1635461, 1635816, 1635952, 1636109, 1636475, 1636631, 1637090, 1637693, 1637869, 1638033, 1638103, 1638413, 1638436, 1638519, 1638659, 1638694, 1639899, 1640015, 1640043, 1640859, 1640955, 1641768, 1641910, 1642245, 1642484, 1643027, 1643109, 1643294, 1643749, 1644143, 1644275, 1644592, 1645353, 1645371, 1645495, 1646184, 1646722, 1647100, 1647335, 1647372, 1647664, 1648918, 1649271, 1649659, 1649796, 1650419, 1650716, 1651049, 1651623, 1651963, 1652577, 1652979, 1653008, 1653193, 1653345, 1653712, 1653777, 1654508, 1654573, 1654683, 1654998, 1655112, 1655678, 1656195, 1656549, 1656930, 1656994, 1657708, 1657750, 1657786, 1657812, 1658048, 1658494, 1658844, 1659136, 1659309, 1659555, 1659589, 1659816, 1659833, 1659865, 1660202, 1660563, 1661483, 1661784, 1661833, 1661960, 1662045, 1662209, 1663271, 1663292, 1663458, 1663593, 1663895, 1664060, 1664075, 1664396, 1664826, 1665669, 1666182, 1666646, 1667180, 1667438, 1667532, 1667936, 1668166, 1668496, 1668610, 1668838, 1669020, 1669265, 1669574, 1670028, 1670192, 1670595, 1670904, 1671314, 1671953, 1672391, 1672688, 1673201, 1674507, 1674650, 1674900, 1675033, 1675057, 1675098, 1675103, 1675218, 1675552, 1675560, 1675737, 1675928, 1676233, 1676257, 1676352, 1676569, 1676903, 1677320, 1677570, 1677644, 1677867, 1677959, 1678086, 1678296, 1678489, 1678528, 1678657, 1678706, 1679675, 1679756, 1679897, 1680025, 1680789, 1680856, 1680962, 1681254, 1681486, 1681836, 1681845, 1681858, 1681874, 1682155, 1682928, 1682991, 1683308, 1683457, 1683537, 1683689, 1683746, 1683854, 1684216, 1684666, 1684762, 1685047, 1685146, 1685288, 1685509, 1685649, 1686094, 1686335, 1686542, 1686578, 1687009, 1687595, 1687838, 1688259, 1688294, 1688326, 1688798, 1688974, 1689019, 1689131, 1689466, 1689878, 1689959, 1690123, 1690793, 1691388, 1691557, 1692029, 1692215, 1692580, 1692649, 1692925, 1693431, 1693541, 1693813, 1694059, 1694356, 1694679, 1694952, 1694987, 1694993, 1695230, 1695419, 1695716, 1695879, 1696218, 1696307, 1696593, 1697032, 1698176, 1699203, 1699713, 1699970, 1700265, 1700435, 1701047, 1701403, 1701976, 1703018, 1703326, 1703716, 1704054, 1704333, 1704929, 1705638, 1705660, 1705881, 1706044, 1707085, 1707454, 1707882, 1708036, 1708177, 1708217, 1708347, 1709354, 1709376, 1709383, 1709702, 1709779, 1709847, 1710987, 1711223, 1711367, 1711721, 1711770, 1711981, 1713513, 1713536, 1713714, 1714520, 1714861, 1715466, 1715725, 1715855, 1716164, 1716188, 1716658, 1716835, 1716962, 1716973, 1717016, 1717325, 1717546, 1717694, 1717715, 1717720, 1718170, 1718353, 1718512, 1719050, 1719665, 1719768, 1720097, 1720130, 1720457, 1720701, 1721131, 1721147, 1721466, 1721803, 1722572, 1722633, 1724739, 1724821, 1724938, 1724946, 1725241, 1725303, 1725507, 1725716, 1725765, 1726436, 1726659, 1726829, 1726963, 1728360, 1728417, 1729091, 1729586, 1729745, 1730055, 1730646, 1731368, 1731736, 1731860, 1731916, 1732109, 1732311, 1732493, 1732510, 1732913, 1733150, 1733222, 1733364, 1734796, 1735375, 1735417, 1735731, 1736008, 1736509, 1736544, 1737185, 1737314, 1737421, 1737883, 1738077, 1738169, 1738181, 1738503, 1738688, 1738753, 1739566, 1739929, 1740507, 1740997, 1741271, 1741796, 1741873, 1742601, 1743095, 1743723, 1743759, 1744035, 1744171, 1744377, 1745177, 1745331, 1745347, 1745832, 1745861, 1745953, 1746281, 1746351, 1746396, 1747762, 1748196, 1748370, 1749410, 1749938, 1751771, 1751792, 1751870, 1752141, 1752395, 1752596, 1752611, 1752861, 1752876, 1753205, 1753400, 1753469, 1753560, 1753980, 1754046, 1754131, 1754173, 1754269, 1754351, 1754504, 1754570, 1755246, 1755477, 1756559, 1756652, 1756687, 1756988, 1757128, 1757695, 1758127, 1758774, 1759088, 1759096, 1759666, 1759762, 1760004, 1760082, 1760808, 1761301, 1761463, 1762179, 1762196, 1762908, 1763344, 1763555, 1763688, 1764858, 1765080, 1765278, 1765595, 1766395, 1766433, 1766775, 1767047, 1767723, 1767785, 1768484, 1768516, 1768754, 1769487, 1769548, 1769631, 1770131, 1770245, 1770533, 1771099, 1771201, 1771333, 1771477, 1771995, 1772513, 1772522, 1772926, 1773118, 1773139, 1773166, 1773550, 1773595, 1773700, 1773904, 1774187, 1774467, 1774509, 1774616, 1774730, 1774840, 1774954, 1775317, 1775448, 1775590, 1776487, 1776576, 1777090, 1777261, 1777687, 1778049, 1778587, 1778685, 1778814, 1779272, 1779940, 1780508, 1780610, 1780774, 1780970, 1781000, 1781013, 1781069, 1781097, 1781272, 1782499, 1783196, 1783790, 1784005, 1784066, 1784128, 1784230, 1784913, 1785070, 1785307, 1785413, 1785436, 1786249, 1786627, 1787418, 1788031, 1788397, 1788528, 1788535, 1788759, 1788954, 1789340, 1789756, 1789902, 1790010, 1790423, 1790539, 1790962, 1791003, 1791327, 1791951, 1792928, 1793752, 1793927, 1794387, 1795591, 1796100, 1796229, 1796372, 1796391, 1796946, 1797063, 1797139, 1797171, 1798053, 1798355, 1798851, 1798958, 1799038, 1799302, 1799396, 1800035, 1800211, 1800242, 1800887, 1801168, 1801235, 1801395, 1801416, 1801611, 1801876, 1802068, 1802526, 1802688, 1803365, 1803382, 1804180, 1804532, 1804802, 1804896, 1805070, 1805292, 1805469, 1805546, 1805587, 1805630, 1806154, 1806574, 1806627, 1806841, 1807093, 1807258, 1807274, 1807388, 1807405, 1808101, 1808403, 1808455, 1808777, 1808884, 1808910, 1809121, 1809858, 1810186, 1810281, 1810484, 1811099, 1811790, 1812729, 1812750, 1812762, 1812877, 1813661, 1813769, 1813781, 1814397, 1814478, 1814698, 1814741, 1815286, 1815534, 1816191, 1816367, 1816896, 1816913, 1817261, 1817353, 1817495, 1817568, 1818458, 1818796, 1818847, 1818935, 1819209, 1819404, 1820138, 1821335, 1821461, 1821816, 1822069, 1822235, 1822280, 1822667, 1823227, 1823239, 1823422, 1823694, 1824351, 1824440, 1824994, 1825246, 1826305, 1826780, 1827223, 1827507, 1827510, 1827608, 1827614, 1827721, 1828153, 1828306, 1828496, 1828700, 1828860, 1829346, 1829444, 1829581, 1829605, 1829868, 1830103, 1830310, 1830991, 1831096, 1831199, 1831729, 1831731, 1831830, 1832539, 1832778, 1832835, 1832863, 1833041, 1833739, 1833857, 1833946, 1834157, 1834462, 1834869, 1834951, 1835242, 1835323, 1835359, 1835595, 1836013, 1836603, 1836787, 1836807, 1837062, 1837251, 1837336, 1837794, 1837818, 1838129, 1838834, 1838906, 1839230, 1839419, 1839629, 1839981, 1840102, 1840151, 1840316, 1840382, 1840584, 1840947, 1840950, 1841283, 1841340, 1841822, 1841937, 1842284, 1842623, 1842847, 1842873, 1843537, 1843626, 1843738, 1843854, 1843939, 1843940, 1844037, 1844064, 1844387, 1844558, 1844639, 1845146, 1846250, 1846425, 1846534, 1847278, 1847323, 1847625, 1847632, 1848576, 1848583, 1848608, 1848888, 1849147, 1849656, 1849878, 1850209, 1850244, 1850596, 1851222, 1851842, 1851923, 1852152, 1852251, 1852604, 1852866, 1853116, 1853735, 1853836, 1854145, 1854503, 1854784, 1855053, 1855802, 1856033, 1856266, 1856332, 1856413, 1856445, 1856501, 1857032, 1857778, 1858020, 1858037, 1858978, 1859166, 1860011, 1860104, 1860568, 1860735, 1861312, 1861479, 1861904, 1862092, 1862277, 1863195, 1863200, 1864134, 1864189, 1864808, 1864829, 1865249, 1865456, 1865522, 1866146, 1866374, 1866556, 1866768, 1867537, 1867966, 1868425, 1869287, 1870344, 1870664, 1871128, 1871294, 1871367, 1871782, 1871815, 1872140, 1872479, 1872736, 1872838, 1873346, 1874000, 1874168, 1874861, 1874883, 1874992, 1875471, 1875855, 1876099, 1876494, 1877575, 1877715, 1878011, 1878450, 1878577, 1880233, 1880692, 1880731, 1881591, 1881698, 1882001, 1882418, 1882707, 1883084, 1883798, 1883913, 1884540, 1885067, 1885327, 1885473, 1885594, 1885601, 1886017, 1886139, 1886234, 1886323, 1886415, 1886625, 1886713, 1887041, 1887615, 1887727, 1888058, 1888719, 1888760, 1888899, 1889227, 1889497, 1889814, 1889847, 1890071, 1890277, 1890532, 1890561, 1890837, 1890864, 1890969, 1891126, 1891190, 1891348, 1891422, 1891737, 1891928, 1892003, 1892638, 1892943, 1893300, 1893777, 1894289, 1894415, 1894562, 1894632, 1894904, 1895000, 1895308, 1895449, 1895861, 1897352, 1897409, 1897480, 1898032, 1899208, 1899534, 1899664, 1899975, 1900175, 1900517, 1900932, 1901059, 1901208, 1902074, 1902386, 1902689, 1902854, 1903033, 1903082, 1903205, 1903348, 1903469, 1904245, 1904388, 1904471, 1904656, 1904799, 1905412, 1905929, 1906067, 1906366, 1906874, 1907180, 1907631, 1907843, 1907879, 1907974, 1908368, 1909015, 1909110, 1909132, 1909233, 1909463, 1909536, 1909786, 1910066, 1910172, 1910241, 1910311, 1910548, 1911070, 1911310, 1911886, 1912011, 1912408, 1912594, 1913202, 1913591, 1913866, 1914105, 1914192, 1914610, 1914661, 1914921, 1915235, 1915470, 1915752, 1916087, 1916195, 1916598, 1916930, 1917352, 1917513, 1917911, 1918703, 1918835, 1918891, 1919181, 1919309, 1919483, 1919784, 1920056, 1920699, 1920824, 1920916, 1920970, 1921045, 1922425, 1922615, 1922651, 1922804, 1922865, 1922975, 1923459, 1923742, 1923767, 1924303, 1924631, 1925623, 1925694, 1926110, 1926298, 1926558, 1926841, 1926934, 1927001, 1927213, 1927628, 1927761, 1928345, 1928556, 1928657, 1929089, 1929299, 1929447, 1929506, 1929601, 1929800, 1929881, 1929897, 1929902, 1929915, 1930076, 1930196, 1930321, 1930412, 1930505, 1930697, 1931232, 1931261, 1932049, 1932266, 1932422, 1932641, 1932677, 1932788, 1932991, 1933217, 1933502, 1933953, 1934107, 1934569, 1934812, 1935062, 1935528, 1935580, 1935983, 1936006, 1936041, 1937745, 1938230, 1938389, 1938913, 1939024, 1939147, 1939439, 1939521, 1939565, 1939855, 1939923, 1939930, 1940190, 1940325, 1940354, 1940593, 1940694, 1941176, 1942636, 1942863, 1943461, 1943705, 1943739, 1943804, 1943946, 1944353, 1944431, 1944594, 1944845, 1945184, 1945531, 1945887, 1946564, 1946603, 1946918, 1947029, 1947138, 1947818, 1947839, 1948038, 1948108, 1948364, 1948635, 1949071, 1949326, 1949599, 1950197, 1950792, 1950898, 1951135, 1951390, 1951843, 1951974, 1952341, 1952437, 1952595, 1952893, 1952916, 1953015, 1953051, 1954373, 1954634, 1955019, 1955889, 1955906, 1956143, 1956316, 1956809, 1956947, 1957956, 1958003, 1958067, 1958165, 1958693, 1959062, 1959871, 1959925, 1960088, 1960249, 1960627, 1960731, 1960967, 1961871, 1962236, 1962710, 1962826, 1962867, 1962994, 1963686, 1963695, 1963969, 1964196, 1964592, 1964622, 1964790, 1964809, 1964835, 1965078, 1965157, 1966139, 1966312, 1966661, 1967602, 1968106, 1968347, 1968350, 1968775, 1968854, 1968927, 1969057, 1969383, 1969587, 1969895, 1970395, 1970537, 1970927, 1970939, 1971258, 1971471, 1971842, 1973371, 1973874, 1973996, 1974503, 1974821, 1974882, 1975268, 1975303, 1975311, 1975446, 1975782, 1976310, 1976538, 1976850, 1977151, 1977365, 1977863, 1978491, 1978823, 1979451, 1979801, 1979949, 1980506, 1980693, 1980964, 1981035, 1981192, 1981957, 1981982, 1982438, 1982576, 1983093, 1983453, 1983557, 1984004, 1984178, 1984292, 1985216, 1985360, 1985684, 1986095, 1986313, 1986633, 1987045, 1987386, 1987655, 1987876, 1988503, 1988739, 1988938, 1989252, 1989645, 1990087, 1990492, 1990985, 1991365, 1991382, 1991613, 1992806, 1993035, 1993211, 1993769, 1994101, 1994119, 1994193, 1994777, 1995262, 1995448, 1995870, 1995946, 1996018, 1996629, 1996896, 1997523, 1997675, 1997920, 1998070, 1998205, 1998266, 1998445, 1998501, 1998606, 1998677, 1998685, 1998847, 1998850, 1998928, 1999331, 1999966, 2000092, 2001098, 2001227, 2001253, 2002055, 2002660, 2002772, 2002943, 2002979, 2003300, 2003591, 2003730, 2003853, 2004017, 2004306, 2004464, 2004496, 2004531, 2004722, 2005112, 2005634, 2005655, 2006439, 2006799, 2006878, 2007352, 2007387, 2007684, 2008032, 2008083, 2008275, 2008459, 2008809, 2009181, 2009483, 2009499, 2009503, 2009555, 2009578, 2009865, 2010176, 2010216, 2010428, 2011853, 2012427, 2012471, 2012968, 2012994, 2013053, 2013144, 2013631, 2013647, 2014061, 2014636, 2014674, 2014856, 2014973, 2015078, 2015299, 2015353, 2015366, 2015800, 2016676, 2016965, 2016982, 2017317, 2017705, 2018141, 2018760, 2018775, 2018876, 2019980, 2020076, 2020809, 2021261, 2021339, 2021495, 2021506, 2022057, 2022155, 2022641, 2022788, 2022831, 2023097, 2023760, 2023793, 2023807, 2023918, 2024545, 2024666, 2024806, 2024926, 2026077, 2026286, 2026882, 2027982, 2028109, 2028334, 2028419, 2028629, 2029236, 2029245, 2029609, 2029754, 2029799, 2030386, 2030404, 2030971, 2031213, 2031315, 2031930, 2033165, 2033366, 2033431, 2033756, 2034006, 2034578, 2034637, 2035446, 2035770, 2036021, 2036103, 2036354, 2036383, 2036612, 2036895, 2036928, 2036935, 2037061, 2037188, 2037196, 2037584, 2037669, 2037711, 2037742, 2037973, 2039781, 2039970, 2040029, 2040336, 2040698, 2040827, 2040884, 2040892, 2040932, 2041380, 2041620, 2041664, 2042159, 2042848, 2043436, 2043808, 2044826, 2045349, 2045697, 2046078, 2046339, 2047896, 2048306, 2048341, 2048496, 2049428, 2049750, 2049894, 2049967, 2050253, 2050538, 2050593, 2050720, 2050831, 2050935, 2050972, 2051352, 2051627, 2052584, 2052789, 2052844, 2052973, 2053432, 2053602, 2053637, 2053901, 2054693, 2054881, 2055044, 2055451, 2055722, 2055769, 2056465, 2056551, 2056848, 2057621, 2057961, 2058200, 2058427, 2059066, 2059144, 2059212, 2059487, 2059583, 2059749, 2059782, 2060181, 2060637, 2060664, 2060833, 2061040, 2061230, 2061389, 2061460, 2062184, 2062267, 2063079, 2063257, 2064701, 2065147, 2065570, 2066365, 2066477, 2066973, 2067400, 2067497, 2067524, 2067980, 2068305, 2068318, 2069146, 2069777, 2069853, 2069907, 2070104, 2070283, 2070523, 2070675, 2071464, 2071632, 2071797, 2072230, 2072334, 2072561, 2072576, 2072888, 2073108, 2074348, 2074702, 2075015, 2075204, 2075536, 2075934, 2076008, 2076251, 2076467, 2076621, 2076785, 2076892, 2077263, 2077854, 2078085, 2078113, 2078356, 2078483, 2078526, 2078688, 2078865, 2078993, 2079007, 2079703, 2079817, 2080075, 2080173, 2080222, 2080396, 2080656, 2080994, 2081778, 2081973, 2082491, 2082990, 2083072, 2083464, 2084086, 2084138, 2084279, 2084723, 2084730, 2084785, 2085208, 2085448, 2085739, 2086206, 2086355, 2086438, 2086525, 2086608, 2086686, 2086716, 2086974, 2087165, 2087709, 2087717, 2087836, 2087902, 2088178, 2088831, 2089966, 2090118, 2090341, 2090595, 2090781, 2091502, 2091626, 2091738, 2094027, 2094066, 2094532, 2094662, 2095167, 2095796, 2095980, 2096132, 2096640, 2096762, 2096806, 2097549, 2097783, 2097811, 2098119, 2098175, 2098961, 2099055, 2099116, 2100150, 2100269, 2100297, 2100315, 2100396, 2100867, 2101115, 2101188, 2101566, 2101697, 2101950, 2102597, 2102885, 2103056, 2104101, 2104138, 2104160, 2104489, 2105059, 2106135, 2106424, 2106704, 2106757, 2107858, 2108021, 2108111, 2108847, 2108944, 2109373, 2109667, 2109746, 2109807, 2110744, 2110881, 2111676, 2112510, 2113131, 2113297, 2113811, 2113890, 2113912, 2113985, 2114694, 2114779, 2115125, 2115435, 2115522, 2115666, 2115877, 2115911, 2116193, 2116202, 2116591, 2116777, 2117543, 2117655, 2117775, 2117787, 2118247, 2118250, 2118344, 2118407, 2118448, 2118766, 2119025, 2119382, 2119566, 2119645, 2119767, 2120103, 2120178, 2120240, 2120310, 2121216, 2121324, 2121456, 2121762, 2123380, 2123454, 2123620, 2123739, 2124225, 2124728, 2125184, 2125496, 2125801, 2125824, 2126081, 2126449, 2126678, 2126971, 2126984, 2127050, 2127591, 2127794, 2127871, 2128521, 2128617, 2128691, 2128878, 2128890, 2129027, 2129277, 2129599, 2129936, 2131389, 2131614, 2131888, 2132080, 2132140, 2132166, 2132184, 2132290, 2132306, 2132496, 2132949, 2133926, 2134000, 2134329, 2134515, 2134537, 2134793, 2134992, 2135672, 2135799, 2135930, 2136252, 2136778, 2136891, 2137021, 2137065, 2137070, 2137240, 2137376, 2137458, 2137552, 2137980, 2138744, 2139633, 2140970, 2141130, 2142094, 2142317, 2142344, 2143102, 2143600, 2143778, 2143835, 2144163, 2144367, 2144389, 2144733, 2145980, 2146002, 2146216, 2146221, 2146639, 2147038, 2147315, 2148358, 2148741, 2148827, 2148871, 2149340, 2149791, 2150406, 2150494, 2150809, 2151318, 2151366, 2151429, 2151431, 2152126, 2152445, 2152593, 2153373, 2153515, 2154249, 2154747, 2155073, 2155251, 2155381, 2155467, 2155528, 2155649, 2155827, 2156100, 2156122, 2156231, 2156664, 2156766, 2156898, 2157171, 2157341, 2157676, 2157860, 2159150, 2159484, 2159635, 2159663, 2159748, 2160217, 2161297, 2161302, 2162062, 2162279, 2162478, 2162892, 2163340, 2163353, 2163800, 2164286, 2164380, 2164448, 2164589, 2164816, 2164870, 2165749, 2165757, 2166325, 2167872, 2168480, 2168823, 2168903, 2169127, 2169443, 2169508, 2170319, 2170463, 2170472, 2170558, 2170692, 2171124, 2171381, 2171723, 2171892, 2172060, 2172245, 2172516, 2173180, 2173576, 2173614, 2173716, 2173879, 2173913, 2174120, 2175011, 2175182, 2176289, 2176479, 2176550, 2176699, 2177309, 2178013, 2178244, 2179190, 2179694, 2179796, 2180936, 2181016, 2181399, 2182042, 2182601, 2183031, 2183073, 2183381, 2183509, 2183517, 2183580, 2183785, 2183827, 2184255, 2184267, 2184341, 2184385, 2184402, 2184661, 2184824, 2185022, 2185069, 2185244, 2185457, 2185634, 2185760, 2186108, 2186200, 2186761, 2187393, 2187747, 2188025, 2188137, 2188164, 2188636, 2188669, 2189094, 2189589, 2189919, 2190138, 2190591, 2191041, 2191077, 2191555, 2192228, 2192272, 2192416, 2192775, 2193070, 2193383, 2193814, 2194129, 2194222, 2194977, 2195406, 2195477, 2195995, 2196619, 2196813, 2197092, 2197401, 2197446, 2197721, 2197798, 2198550, 2199265, 2199522, 2199942, 2200165, 2200414, 2200577, 2200897, 2200915, 2200996, 2201437, 2202452, 2202525, 2202945, 2203337, 2204218, 2204310, 2204764, 2204873, 2205020, 2205221, 2205513, 2205978, 2206047, 2206670, 2206839, 2207551, 2207596, 2208328, 2208784, 2209179, 2209219, 2209275, 2210331, 2210579, 2210807, 2210861, 2211114, 2211315, 2211557, 2212124, 2212322, 2212442, 2212657, 2212768, 2212785, 2212925, 2213055, 2213182, 2213624, 2213822, 2214113, 2214771, 2215066, 2215071, 2215802, 2216098, 2216134, 2216831, 2216850, 2217669, 2217950, 2218653, 2219140, 2219153, 2219171, 2220664, 2220849, 2220919, 2221084, 2221128, 2221277, 2221614, 2221647, 2221879, 2222072, 2222415, 2222824, 2222916, 2223513, 2223786, 2224308, 2224373, 2224421, 2224787, 2224854, 2224918, 2225418, 2225628, 2225748, 2225799, 2226025, 2226681, 2227021, 2227284, 2227497, 2227895, 2228248, 2228450, 2228568, 2228869, 2229073, 2229095, 2229237, 2230491, 2230639, 2230942, 2231563, 2231827, 2231976, 2232783, 2233342, 2233367, 2233401, 2233704, 2233820, 2234365, 2234613, 2235034, 2235340, 2235392, 2235495, 2235601, 2235646, 2235845, 2236323, 2236550, 2236699, 2236700, 2236801, 2237113, 2238235, 2238244, 2238263, 2238331, 2238350, 2239218, 2239361, 2239991, 2240001, 2240038, 2240274, 2240351, 2240453, 2240557, 2241143, 2241224, 2241238, 2241406, 2242319, 2242545, 2243080, 2243211, 2243377, 2244119, 2244907, 2244910, 2245448, 2245590, 2245620, 2245833, 2245960, 2246071, 2246223, 2246900, 2246958, 2247055, 2247506, 2248021, 2248436, 2248524, 2249123, 2249194, 2249209, 2249551, 2249701, 2249738, 2249940, 2250028, 2251465, 2251470, 2251596, 2251642, 2251719, 2252174, 2252718, 2253201, 2253260, 2253592, 2254223, 2254241, 2254285, 2254945, 2255111, 2255142, 2255284, 2255552, 2255560, 2255972, 2256257, 2256360, 2256522, 2256692, 2256795, 2256812, 2256868, 2256885, 2257150, 2258014, 2258146, 2258187, 2258535, 2258805, 2258840, 2259026, 2259089, 2259165, 2259276, 2259915, 2260406, 2260613, 2260622, 2261011, 2261559, 2261881, 2262065, 2262796, 2262956, 2263787, 2264088, 2264199, 2264545, 2264747, 2265086, 2265160, 2265580, 2265723, 2266068, 2266113, 2266197, 2266766, 2266792, 2267607, 2268277, 2268673, 2268765, 2268802, 2268913, 2269351, 2269405, 2269725, 2269803, 2270092, 2270452, 2270487, 2270629, 2270695, 2271354, 2271458, 2271677, 2271980, 2272090, 2272248, 2273313, 2273336, 2273794, 2274105, 2274394, 2274562, 2274632, 2274846, 2275465, 2276440, 2277015, 2278099, 2278681, 2278856, 2278914, 2279425, 2279448, 2279696, 2279740, 2279865, 2280381, 2280621, 2280839, 2280866, 2280999, 2281197, 2281448, 2281483, 2282130, 2282465, 2282719, 2282876, 2283021, 2284162, 2284521, 2284557, 2284799, 2285061, 2285246, 2285252, 2285382, 2285669, 2286026, 2286447, 2286450, 2286709, 2287223, 2287378, 2287446, 2287686, 2288105, 2288402, 2288531, 2289352, 2289536, 2290004, 2290126, 2290361, 2290399, 2291132, 2291249, 2291324, 2291627, 2291894, 2292083, 2292412, 2292459, 2292485, 2292856, 2292931, 2293214, 2293391, 2293833, 2294116, 2294327, 2294495, 2294577, 2294687, 2294772, 2294881, 2295933, 2296123, 2296329, 2296482, 2297160, 2297381, 2297411, 2298087, 2298439, 2298484, 2298906, 2299084, 2299156, 2299241, 2299686, 2299896, 2300115, 2300316, 2300430, 2300459, 2300566, 2300592, 2300697, 2300872, 2301568, 2301687, 2302190, 2303112, 2303217, 2303244, 2303876, 2304387, 2304830, 2305008, 2305358, 2305665, 2306821, 2306919, 2307017, 2307063, 2307654, 2308561, 2308864, 2308900, 2309245, 2309549, 2310140, 2310700, 2310797, 2313406, 2313423, 2313459, 2313539, 2313789, 2314294, 2314997, 2315134, 2315497, 2315560, 2315935, 2316015, 2316729, 2316795, 2317245, 2317320, 2318397, 2318682, 2319339, 2319408, 2319897, 2320268, 2320277, 2320583, 2321524, 2322026, 2322541, 2322675, 2322943, 2323014, 2323193, 2323336, 2323455, 2323556, 2323657, 2323785, 2323910, 2323976, 2324035, 2325537, 2325690, 2325854, 2326878, 2326959, 2327409, 2328137, 2328349, 2328835, 2329250, 2329821, 2330031, 2330220, 2330264, 2330296, 2330535, 2330706, 2330730, 2331231, 2331262, 2331503, 2332655, 2333082, 2333808, 2334315, 2334492, 2334565, 2334598, 2334761, 2334855, 2334889, 2334923, 2334930, 2335778, 2335828, 2336149, 2337039, 2337475, 2337981, 2338072, 2338080, 2338140, 2338359, 2338801, 2339806, 2339868, 2339926, 2340112, 2340123, 2340449, 2340807, 2341453, 2341776, 2341923, 2342264, 2343530, 2344023, 2344085, 2344273, 2344664, 2345230, 2345452, 2345673, 2345716, 2345843, 2346082, 2346126, 2346239, 2346292, 2346764, 2347083, 2347115, 2347485, 2347703, 2348692, 2348823, 2349323, 2350149, 2350429, 2350744, 2351140, 2351394, 2351824, 2351916, 2351933, 2352452, 2352460, 2352802, 2352958, 2353351, 2353379, 2353504, 2353617, 2353663, 2353855, 2354065, 2354474, 2354481, 2354623, 2354702, 2355088, 2355110, 2355545, 2355569, 2355714, 2355841, 2355868, 2355967, 2356509, 2356706, 2357112, 2357537, 2358077, 2358094, 2358122, 2359674, 2360453, 2361032, 2361083, 2362096, 2362107, 2362750, 2363359, 2363648, 2363846, 2364397, 2364467, 2364670, 2364884, 2364954, 2364983, 2365262, 2366285, 2366493, 2366631, 2367090, 2367207, 2367254, 2367874, 2367902, 2368240, 2368677, 2369626, 2369793, 2370348, 2370928, 2370980, 2371472, 2372539, 2372622, 2372669, 2372711, 2372891, 2372914, 2373094, 2373158, 2373898, 2374170, 2374384, 2374937, 2375166, 2375289, 2376069, 2376112, 2376449, 2377785, 2378038, 2378811, 2378912, 2379005, 2379156, 2379749, 2379896, 2380511, 2381135, 2381614, 2381770, 2382278, 2382341, 2382562, 2383002, 2383282, 2383989, 2384194, 2384373, 2384502, 2384807, 2385038, 2385131, 2385906, 2386032, 2386083, 2386333, 2386703, 2387348, 2387354, 2387361, 2387469, 2387497, 2387779, 2388011, 2388034, 2388353, 2388951, 2389175, 2389220, 2389489, 2389563, 2389961, 2390154, 2390183, 2390513, 2390618, 2390627, 2391313, 2392732, 2392803, 2393770, 2394179, 2394275, 2395299, 2396921, 2397286, 2397356, 2397804, 2398314, 2398457, 2399021, 2399737, 2399850, 2399963, 2400059, 2400077, 2401757, 2401896, 2402072, 2402330, 2402464, 2403154, 2403221, 2403618, 2403773, 2404074, 2404168, 2404177, 2404502, 2404966, 2405245, 2405396, 2405644, 2406076, 2406406, 2406494, 2406527, 2406622, 2406844, 2407552, 2407612, 2407751, 2408042, 2408964, 2409657, 2409818, 2409866, 2410126, 2411043, 2411249, 2411324, 2412349, 2413317, 2413328, 2413432, 2413534, 2414353, 2414408, 2414601, 2414756, 2415661, 2415965, 2416000, 2416832, 2417193, 2417220, 2417794, 2417925, 2418364, 2419005, 2419084, 2419109, 2419285, 2419311, 2419390, 2419765, 2419798, 2420800, 2421127, 2421140, 2421970, 2422311, 2422507, 2422802, 2423108, 2423173, 2423320, 2423834, 2423842, 2423867, 2424033, 2424065, 2425132, 2425204, 2425216, 2425387, 2426563, 2426723, 2427667, 2427701, 2427746, 2427927, 2429423, 2429669, 2429908, 2430038, 2430557, 2430923, 2431076, 2431115, 2431252, 2431658, 2432015, 2432221, 2432877, 2433044, 2433072, 2433607, 2433713, 2433933, 2433957, 2434712, 2435059, 2435068, 2435344, 2435511, 2435567, 2435679, 2435804, 2435833, 2436117, 2436554, 2437638, 2437687, 2437709, 2437780, 2437915, 2437937, 2438400, 2438808, 2438991, 2439280, 2439347, 2439642, 2439899, 2439918, 2440605, 2440934, 2441954, 2442195, 2442504, 2442710, 2443018, 2443066, 2444734, 2445170, 2445327, 2445530, 2445858, 2446514, 2446781, 2447454, 2447499, 2448953, 2449178, 2449593, 2449779, 2449829, 2450005, 2450039, 2450109, 2450367, 2450510, 2451189, 2451376, 2451702, 2452089, 2452207, 2452473, 2453489, 2453657, 2453712, 2453818, 2454028, 2454586, 2454801, 2455112, 2455209, 2455395, 2455588, 2455760, 2455787, 2456492, 2457088, 2457096, 2457684, 2457708, 2457841, 2458370, 2459158, 2459503, 2459555, 2459643, 2460187, 2460591, 2460723, 2460954, 2461068, 2461476, 2461643, 2461753, 2462159, 2462185, 2462209, 2462217, 2463057, 2463501, 2463743, 2463956, 2464129, 2464131, 2464396, 2464691, 2465102, 2465115, 2465316, 2465333, 2465477, 2465914, 2466772, 2467334, 2467583, 2467721, 2468091, 2468226, 2468550, 2468610, 2468797, 2469107, 2469270, 2469747, 2470437, 2470451, 2471314, 2471603, 2471678, 2471966, 2472511, 2472589, 2473246, 2473566, 2473962, 2474191, 2474583, 2475715, 2475796, 2476324, 2476463, 2476480, 2476666, 2477075, 2477656, 2478031, 2478345, 2478403, 2478517, 2478580, 2478723, 2478866, 2478884, 2478954, 2479506, 2479763, 2480025, 2480032, 2480459, 2480929, 2481660, 2482831, 2483000, 2483159, 2483235, 2483331, 2483404, 2484043, 2484088, 2484605, 2484773, 2485187, 2485300, 2485358, 2485442, 2485563, 2485818, 2485853, 2485907, 2486578, 2486664, 2486771, 2486821, 2487153, 2487508, 2487550, 2487970, 2488053, 2488144, 2488303, 2488631, 2489364, 2489598, 2489776, 2490235, 2490256, 2490272, 2490611, 2491046, 2491471, 2491582, 2492591, 2493530, 2493836, 2494012, 2494113, 2494250, 2494363, 2494696, 2495144, 2495452, 2495673, 2495820, 2496348, 2496831, 2497412, 2497592, 2498037, 2498618, 2499531, 2499676, 2499736, 2500056, 2500211, 2500437, 2500451, 2500801, 2500893, 2501537, 2501738, 2501775, 2502262, 2502380, 2502476, 2502664, 2502705, 2503061, 2503566, 2503809, 2504163, 2504206, 2504268, 2504401, 2504673, 2504820, 2505325, 2505348, 2505422, 2505538, 2506088, 2506161, 2506233, 2506298, 2506435, 2506795, 2507245, 2507570, 2508047, 2508119, 2508313, 2508442, 2508932, 2509182, 2509261, 2509327, 2509353, 2509559, 2509619, 2510710, 2510761, 2510803, 2511412, 2511891, 2512079, 2512409, 2512868, 2513091, 2513234, 2513368, 2513394, 2513586, 2513916, 2514008, 2514152, 2514649, 2514670, 2514682, 2514840, 2515041, 2515059, 2516334, 2516493, 2516576, 2516673, 2516749, 2516913, 2516981, 2517210, 2517429, 2517506, 2517800, 2518205, 2518227, 2518501, 2518606, 2518917, 2518963, 2519000, 2519244, 2519331, 2519347, 2519543, 2519678, 2520925, 2521006, 2522395, 2522502, 2523134, 2523497, 2523538, 2523606, 2523751, 2524691, 2524732, 2524923, 2525382, 2525412, 2525790, 2525973, 2525995, 2526034, 2526149, 2526512, 2526652, 2526988, 2528278, 2528700, 2529233, 2529472, 2529714, 2529747, 2529859, 2530538, 2531270, 2531428, 2531762, 2531806, 2532238, 2532333, 2532726, 2532778, 2533816, 2533975, 2534011, 2534248, 2534339, 2534486, 2534577, 2534881, 2534897, 2535402, 2535529, 2535531, 2536106, 2536551, 2536596, 2536775, 2536807, 2537062, 2537490, 2537649, 2537741, 2539117, 2539230, 2539311, 2539389, 2540201, 2540219, 2540382, 2540613, 2541495, 2542167, 2542253, 2542641, 2543036, 2543123, 2543588, 2543787, 2544079, 2544088, 2544324, 2544360, 2545014, 2545853, 2547278, 2547377, 2547402, 2547860, 2548820, 2548864, 2549302, 2549557, 2549644, 2549672, 2549680, 2549754, 2549867, 2549906, 2549959, 2550263, 2550272, 2550690, 2550793, 2551001, 2551427, 2552073, 2552313, 2553170, 2553371, 2553585, 2553624, 2553728, 2553858, 2554615, 2554924, 2554975, 2555650, 2556205, 2556307, 2556376, 2556501, 2556694, 2556788, 2556847, 2556873, 2557370, 2557674, 2557726, 2557755, 2557809, 2557962, 2558216, 2558409, 2558581, 2559385, 2559801, 2560371, 2560728, 2561017, 2561402, 2562259, 2562268, 2562390, 2562475, 2562716, 2562837, 2562879, 2563147, 2563656, 2563672, 2563725, 2563941, 2564057, 2564445, 2566827, 2566907, 2567308, 2567588, 2567603, 2567899, 2567939, 2567984, 2568006, 2568023, 2568145, 2568870, 2568924, 2569382, 2569430, 2569778, 2569856, 2569995, 2571039, 2571206, 2571390, 2571749, 2571896, 2572072, 2572368, 2572736, 2572916, 2573216, 2573522, 2573653, 2574395, 2574966, 2575093, 2575236, 2576120, 2576275, 2576494, 2576566, 2576681, 2576828, 2577126, 2577310, 2577348, 2577469, 2577796, 2578042, 2578225, 2578585, 2578619, 2578728, 2578822, 2578979, 2579910, 2580015, 2580877, 2581296, 2581730, 2582108, 2582302, 2582343, 2582710, 2583039, 2584553, 2585090, 2585744, 2586359, 2586479, 2586573, 2586683, 2586846, 2586965, 2587197, 2587499, 2588045, 2588775, 2589111, 2589325, 2589593, 2589847, 2589980, 2590191, 2590294, 2591049, 2591057, 2591677, 2592276, 2592486, 2593101, 2593202, 2593243, 2593563, 2593892, 2593932, 2594464, 2594562, 2595209, 2595331, 2595433, 2595775, 2596281, 2596364, 2596598, 2597926, 2598048, 2598224, 2599771, 2599865, 2599898, 2600014, 2600322, 2601590, 2602000, 2602074, 2603266, 2603630, 2603668, 2603715, 2603980, 2604427, 2604609, 2604672, 2605674, 2606121, 2606340, 2606429, 2607092, 2608140, 2608699, 2609043, 2609176, 2609301, 2609581, 2609640, 2609653, 2610156, 2610285, 2610614, 2610733, 2611189, 2611612, 2611850, 2612042, 2612384, 2612638, 2612996, 2613220, 2613489, 2613563, 2614091, 2614192, 2614368, 2614488, 2614700, 2615235, 2615256, 2615701, 2615760, 2616222, 2616427, 2616732, 2616748, 2616912, 2617417, 2618505, 2618566, 2618790, 2618995, 2619335, 2619344, 2619718, 2619987, 2620166, 2620893, 2621069, 2621097, 2621350, 2621678, 2621746, 2621940, 2622317, 2622344, 2622651, 2622924, 2623734, 2623767, 2624005, 2624156, 2624390, 2624554, 2624851, 2625111, 2625873, 2625928, 2626043, 2626270, 2626605, 2627269, 2628073, 2628124, 2628288, 2628723, 2628840, 2629283, 2629486, 2629693, 2630382, 2630613, 2630809, 2630962, 2631366, 2632065, 2632227, 2632458, 2632847, 2633185, 2633256, 2633752, 2633832, 2633939, 2634428, 2634513, 2634926, 2635649, 2635665, 2636273, 2636454, 2636534, 2637289, 2637676, 2638631, 2638798, 2638837, 2638900, 2639521, 2639565, 2640049, 2640057, 2640862, 2641627, 2642333, 2642584, 2642817, 2643136, 2643295, 2643363, 2643380, 2643643, 2643718, 2643739, 2643784, 2644042, 2644384, 2644392, 2644813, 2645017, 2645171, 2645377, 2645965, 2646130, 2646433, 2646579, 2646678, 2647633, 2647827, 2648046, 2648549, 2648912, 2649109, 2649268, 2649757, 2650901, 2651475, 2651757, 2652745, 2652904, 2653265, 2653574, 2653708, 2654386, 2654642, 2654701, 2655052, 2655617, 2655710, 2655783, 2656025, 2656566, 2656986, 2657284, 2658121, 2658486, 2658693, 2659146, 2659381, 2659517, 2659535, 2659621, 2659723, 2659794, 2660387, 2660393, 2661220, 2661374, 2661544, 2661604, 2661925, 2662245, 2662379, 2662516, 2662617, 2663066, 2663180, 2663191, 2663277, 2663716, 2664201, 2664293, 2664844, 2664931, 2664950, 2665207, 2665248, 2665261, 2665408, 2666341, 2666377, 2667214, 2667454, 2667620, 2667771, 2668329, 2668760, 2668883, 2669239, 2669641, 2669702, 2670022, 2670350, 2670465, 2670520, 2670787, 2670984, 2671343, 2671418, 2671994, 2672202, 2672215, 2672288, 2672313, 2672467, 2672478, 2672591, 2672621, 2672907, 2673034, 2673652, 2674286, 2674688, 2674938, 2675191, 2675303, 2675837, 2675879, 2675969, 2676413, 2676779, 2676873, 2677115, 2677293, 2677645, 2677742, 2677908, 2678270, 2678574, 2678666, 2678830, 2678989, 2679044, 2679153, 2679654, 2680170, 2680920, 2681017, 2681127, 2681648, 2681654, 2682367, 2682493, 2683114, 2683131, 2683173, 2683245, 2683521, 2684155, 2684361, 2684552, 2684612, 2685249, 2685387, 2685480, 2685513, 2685989, 2686050, 2687449, 2688503, 2689179, 2689196, 2689734, 2690038, 2690236, 2690258, 2690582, 2691494, 2691539, 2691880, 2692176, 2692324, 2692500, 2693607, 2693838, 2693933, 2694073, 2694411, 2694467, 2694563, 2694706, 2694818, 2695041, 2695068, 2695229, 2695262, 2695410, 2695534, 2695987, 2696438, 2696532, 2697003, 2697429, 2698155, 2698677, 2698702, 2698928, 2698963, 2699112, 2699498, 2699655, 2700190, 2700354, 2700361, 2700917, 2701125, 2701444, 2701522, 2703295, 2703335, 2703425, 2703651, 2703882, 2703938, 2704133, 2705080, 2705226, 2706074, 2706362, 2706433, 2706655, 2706701, 2706746, 2707313, 2708114, 2708834, 2709507, 2709599, 2709650, 2709721, 2709802, 2709900, 2709981, 2710528, 2710563, 2710706, 2710976, 2711590, 2711696, 2711771, 2711804, 2711960, 2712069, 2712416, 2712719, 2712807, 2713436, 2713641, 2714200, 2714617, 2714799, 2715238, 2715349, 2715566, 2715613, 2715789, 2716431, 2716601, 2716836, 2717027, 2717156, 2717259, 2717487, 2717614, 2717974, 2718192, 2718415, 2719708, 2720707, 2720803, 2721333, 2721669, 2722204, 2722428, 2722830, 2723035, 2723801, 2723860, 2724047, 2724146, 2724251, 2724839, 2724892, 2725059, 2725094, 2725503, 2725534, 2725804, 2726241, 2726576, 2726629, 2727728, 2727897, 2727920, 2727951, 2728033, 2728240, 2728383, 2728546, 2728743, 2729876, 2730234, 2730774, 2731177, 2731209, 2731825, 2732094, 2732174, 2732262, 2732407, 2732555, 2732766, 2733196, 2733287, 2733950, 2734172, 2734355, 2734629, 2734922, 2735021, 2735253, 2735354, 2735436, 2735956, 2736043, 2736183, 2736463, 2736934, 2738086, 2738345, 2739232, 2739431, 2739559, 2739836, 2739902, 2739915, 2740849, 2741053, 2741326, 2741757, 2741879, 2742255, 2742330, 2742402, 2743522, 2743684, 2744022, 2744069, 2744634, 2745281, 2745315, 2745351, 2745521, 2745732, 2745834, 2746252, 2746441, 2746518, 2746767, 2746973, 2747134, 2747310, 2747630, 2747873, 2748874, 2749193, 2749528, 2749633, 2749892, 2750319, 2750387, 2750762, 2751193, 2751397, 2751794, 2752186, 2752959, 2753223, 2753241, 2755149, 2755232, 2756192, 2756437, 2756797, 2756904, 2757041, 2757174, 2757208, 2757295, 2757328, 2757651, 2757784, 2758000, 2758081, 2758331, 2758395, 2758537, 2758603, 2759474, 2760191, 2760452, 2760704, 2760733, 2760798, 2761004, 2761422, 2762055, 2762089, 2762414, 2762473, 2762559, 2763237, 2763426, 2763434, 2763544, 2764242, 2764437, 2764965, 2765449, 2765760, 2765953, 2766582, 2766680, 2767653, 2767714, 2767806, 2767990, 2769113, 2769136, 2769174, 2769454, 2769696, 2769821, 2769882, 2770007, 2771261, 2771318, 2771340, 2771709, 2771897, 2772524, 2772641, 2773013, 2773069, 2773515, 2774148, 2774249, 2774536, 2774574, 2775300, 2775556, 2776975, 2777153, 2777234, 2777289, 2777797, 2778163, 2778212, 2778419, 2778452, 2778608, 2778969, 2779131, 2779302, 2779418, 2779484, 2779492, 2779565, 2779994, 2780927, 2780939, 2781147, 2781281, 2781343, 2781725, 2781889, 2782124, 2782805, 2783254, 2783462, 2783495, 2783660, 2783756, 2783943, 2784136, 2784169, 2784286, 2785798, 2785843, 2785896, 2785981, 2786332, 2786606, 2786963, 2787246, 2787287, 2788298, 2788456, 2788967, 2788989, 2788990, 2789415, 2789699, 2789745, 2790261, 2790735, 2791171, 2791278, 2791323, 2791437, 2792212, 2792367, 2792452, 2792460, 2792475, 2792770, 2793019, 2793439, 2794399, 2794546, 2794623, 2794694, 2795393, 2795786, 2795841, 2795990, 2796397, 2796490, 2796517, 2796528, 2796723, 2797244, 2797362, 2797655, 2798041, 2798085, 2798578, 2798705, 2798816, 2798882, 2799143, 2799151, 2799275, 2799636, 2799962, 2800235, 2800634, 2800690, 2800848, 2801024, 2801440, 2801906, 2802193, 2802563, 2802665, 2803089, 2803594, 2803979, 2804432, 2805958, 2806383, 2806458, 2806751, 2807048, 2807115, 2807459, 2807477, 2807844, 2808729, 2808795, 2808823, 2809105, 2809377, 2809774, 2809801, 2810658, 2810681, 2811327, 2811541, 2811813, 2811881, 2812098, 2812469, 2812546, 2812944, 2813069, 2813168, 2813263, 2813308, 2813746, 2813787, 2813992, 2814020, 2814037, 2814786, 2815279, 2815467, 2815983, 2816122, 2816727, 2817056, 2817824, 2818163, 2818390, 2818438, 2818493, 2818608, 2820428, 2820868, 2821580, 2821948, 2822162, 2822200, 2822213, 2822427, 2823027, 2823446, 2823686, 2823749, 2824102, 2824151, 2824246, 2824622, 2824658, 2825121, 2825414, 2825675, 2826184, 2826306, 2826893, 2827006, 2827448, 2827870, 2828013, 2828272, 2829218, 2829354, 2829831, 2830493, 2830510, 2830608, 2831082, 2831284, 2831847, 2832283, 2832305, 2832414, 2832431, 2834035, 2834203, 2834610, 2834838, 2834921, 2835185, 2835927, 2836504, 2837233, 2837569, 2837731, 2838007, 2838430, 2839085, 2839158, 2839590, 2840165, 2840523, 2840836, 2840943, 2841648, 2841700, 2842092, 2842285, 2842704, 2842765, 2842981, 2843060, 2843108, 2843754, 2843799, 2843959, 2844253, 2844284, 2844560, 2844623, 2844991, 2845536, 2845762, 2846029, 2846138, 2846296, 2846434, 2846580, 2846794, 2847036, 2847069, 2847263, 2847280, 2847449, 2847537, 2848526, 2848664, 2848882, 2849357, 2849423, 2850060, 2850087, 2850150, 2850644, 2850710, 2850725, 2851010, 2851025, 2851048, 2851246, 2851584, 2851908, 2851950, 2852428, 2852435, 2853044, 2853496, 2853758, 2853875, 2853965, 2854152, 2854381, 2855006, 2855849, 2856053, 2856446, 2856525, 2856647, 2856896, 2857011, 2857121, 2857836, 2858016, 2858134, 2858227, 2858552, 2858593, 2858796, 2859329, 2860072, 2860610, 2861013, 2861465, 2861690, 2862059, 2862169, 2862410, 2862620, 2862766, 2862857, 2862952, 2864268, 2864419, 2865501, 2865606, 2865737, 2866020, 2866387, 2866456, 2866731, 2867038, 2867396, 2867930, 2867959, 2868345, 2868563, 2868777, 2868907, 2870649, 2870777, 2870785, 2871059, 2871410, 2871784, 2873004, 2873057, 2873240, 2873284, 2874038, 2874297, 2874302, 2874609, 2875636, 2875703, 2875790, 2876276, 2876305, 2876384, 2877084, 2877334, 2877532, 2877997, 2878496, 2878531, 2878648, 2878904, 2878916, 2878965, 2879352, 2880737, 2881154, 2881393, 2881480, 2881731, 2882061, 2882164, 2882196, 2882252, 2882645, 2883739, 2883833, 2885278, 2885290, 2885632, 2886159, 2886228, 2886404, 2887455, 2887478, 2887723, 2888297, 2888440, 2888521, 2888609, 2889092, 2889554, 2889695, 2889815, 2890169, 2890615, 2890784, 2891053, 2891303, 2891334, 2892009, 2892072, 2892255, 2892801, 2893132, 2893154, 2893731, 2894373, 2895200, 2895379, 2895405, 2895776, 2896293, 2897155, 2897400, 2897587, 2897779, 2897796, 2898210, 2898506, 2898735, 2898744, 2898858, 2898869, 2898979, 2899014, 2899175, 2899358, 2899467, 2899768, 2899961, 2899999, 2900536, 2900859, 2901517, 2901682, 2901785, 2901884, 2902405, 2902732, 2903241, 2903419, 2903475, 2903554, 2903686, 2903896, 2904151, 2904275, 2904553, 2904767, 2905034, 2905089, 2905121, 2905248, 2905276, 2905340, 2905450, 2905646, 2905791, 2906171, 2906192, 2906341, 2906529, 2907012, 2907059, 2907372, 2907425, 2907821, 2907833, 2908498, 2908760, 2909284, 2909325, 2909552, 2909702, 2910231, 2910476, 2910483, 2910503, 2911066, 2911277, 2911716, 2912072, 2912118, 2912139, 2913352, 2913428, 2913692, 2913955, 2914551, 2915046, 2915150, 2915811, 2916196, 2916406, 2916430, 2916880, 2917065, 2917155, 2917469, 2917623, 2917702, 2918210, 2918353, 2918902, 2919095, 2919455, 2919489, 2920097, 2920596, 2920775, 2920905, 2921024, 2921297, 2922146, 2922369, 2922455, 2923506, 2923601, 2923845, 2923874, 2924620, 2925053, 2926606, 2926659, 2926963, 2927099, 2927382, 2927697, 2928107, 2928346, 2928387, 2928708, 2928806, 2928868, 2929139, 2929184, 2929226, 2929377, 2929573, 2929607, 2929921, 2930121, 2930261, 2930327, 2930462, 2930568, 2930822, 2931105, 2931166, 2931377, 2931904, 2931921, 2932230, 2932487, 2932614, 2932629, 2932721, 2932733, 2932913, 2933038, 2933108, 2933297, 2933492, 2933521, 2933617, 2933628, 2934720, 2934928, 2935204, 2935435, 2936029, 2937022, 2937256, 2938208, 2938753, 2939164, 2939566, 2939592, 2940027, 2940268, 2940452, 2940936, 2941021, 2941033, 2941659, 2941720, 2941847, 2942318, 2943073, 2943434, 2943478, 2943698, 2944415, 2944769, 2945069, 2945130, 2945433, 2945551, 2945642, 2945854, 2946617, 2946842, 2947020, 2947265, 2947500, 2947714, 2947967, 2948032, 2948238, 2948252, 2948321, 2948789, 2948863, 2949483, 2949578, 2949739, 2949952, 2950313, 2950884, 2951208, 2951407, 2952123, 2952350, 2952416, 2952537, 2952807, 2953065, 2953445, 2953519, 2953677, 2953779, 2953847, 2955238, 2955423, 2955430, 2955468, 2955505, 2955863, 2957294, 2957367, 2957599, 2958745, 2959360, 2960413, 2960847, 2961020, 2961456, 2962518, 2962789, 2962973, 2963136, 2963356, 2963448, 2963454, 2963766, 2964210, 2964261, 2964728, 2965312, 2965488, 2965529, 2965887, 2966097, 2967008, 2967279, 2967313, 2967358, 2967489, 2967535, 2968826, 2968842, 2969268, 2970147, 2970222, 2970320, 2971007, 2972257, 2972463, 2972500, 2972692, 2972885, 2972978, 2974264, 2974768, 2975145, 2975363, 2975664, 2975718, 2975882, 2976888, 2976900, 2977577, 2977594, 2977728, 2978082, 2978593, 2978659, 2979347, 2979386, 2980508, 2980648, 2980676, 2981185, 2981263, 2981331, 2981807, 2981905, 2981918, 2982407, 2983778, 2984493, 2984896, 2984922, 2985178, 2985400, 2985497, 2985501, 2986154, 2986301, 2986375, 2986627, 2986653, 2987046, 2987173, 2987281, 2987453, 2987691, 2987754, 2988193, 2988336, 2988818, 2988840, 2989133, 2989165, 2989431, 2989624, 2989951, 2990061, 2990179, 2990636, 2990681, 2990742, 2991133, 2991506, 2991675, 2991800, 2992111, 2992400, 2992436, 2992519, 2992668, 2993081, 2993209, 2993291, 2994569, 2994795, 2995544, 2995616, 2995884, 2996231, 2996309, 2997035, 2997496, 2997736, 2997860, 2998223, 2998230, 2998554, 2998631, 2998900, 2998913, 2999162, 2999274, 2999549, 3000059, 3000077, 3000589, 3001487, 3002211, 3002632, 3002774, 3004058, 3004106, 3004185, 3004470, 3004775, 3005302, 3005570, 3005628, 3005803, 3006025, 3006459, 3006669, 3006947, 3008530, 3008638, 3008915, 3009411, 3009730, 3009961, 3010524, 3010847, 3011154, 3011346, 3011581, 3011795, 3012238, 3012430, 3012817, 3012929, 3012986, 3013295, 3013432, 3013499, 3013542, 3014318, 3014340, 3014675, 3014920, 3014979, 3015226, 3015860, 3016314, 3017839, 3018087, 3018663, 3018783, 3018912, 3019144, 3019583, 3020210, 3020340, 3020392, 3020486, 3020800, 3021166, 3021531, 3021586, 3021699, 3021769, 3021824, 3022156, 3022268, 3022294, 3022913, 3023024, 3023173, 3023222, 3023635, 3023878, 3024469, 3024694, 3025666, 3025978, 3026313, 3026556, 3026657, 3026932, 3026983, 3028174, 3028542, 3028718, 3029102, 3029790, 3030001, 3030570, 3030628, 3030783, 3031025, 3031412, 3031527, 3031778, 3031973, 3032183, 3032324, 3032903, 3033683, 3034264, 3034426, 3035041, 3035590, 3035651, 3035975, 3036005, 3036259, 3036285, 3036311, 3037506, 3037541, 3038239, 3039159, 3039235, 3039543, 3039876, 3040199, 3040282, 3040627, 3040747, 3040934, 3041146, 3041279, 3041381, 3041397, 3041730, 3041983, 3042364, 3042656, 3042725, 3042799, 3042803, 3043191, 3043334, 3043864, 3044613, 3044669, 3045182, 3045473, 3045585, 3046508, 3046654, 3047410, 3047461, 3047476, 3048177, 3048331, 3048515, 3048603, 3049720, 3050446, 3050576, 3050647, 3050974, 3051178, 3051332, 3051677, 3052026, 3052248, 3052429, 3052624, 3052638, 3052646, 3052652, 3052728, 3053467, 3053535, 3053759, 3054044, 3054443, 3054949, 3055719, 3055939, 3056213, 3056337, 3056388, 3056912, 3056923, 3057132, 3057894, 3058349, 3058412, 3058518, 3058929, 3059620, 3059901, 3060961, 3061122, 3061136, 3061432, 3063292, 3063677, 3063694, 3064754, 3064834, 3064912, 3065099, 3065238, 3065412, 3065423, 3065540, 3065613, 3065645, 3065828, 3065835, 3065856, 3066318, 3066652, 3066687, 3066780, 3067815, 3068965, 3069558, 3069640, 3069747, 3069750, 3069762, 3069812, 3070595, 3070758, 3071244, 3071272, 3071347, 3071738, 3071953, 3072041, 3072335, 3072534, 3073357, 3073592, 3073645, 3074493, 3075847, 3076079, 3076352, 3076786, 3077001, 3077129, 3077274, 3077405, 3077710, 3077834, 3077906, 3078029, 3078124, 3078202, 3078300, 3078403, 3078730, 3079198, 3079254, 3079717, 3079772, 3080137, 3080406, 3080505, 3080553, 3080755, 3080767, 3081744, 3081800, 3082178, 3082469, 3082764, 3083848, 3083966, 3084043, 3084088, 3084708, 3084823, 3085288, 3085411, 3085434, 3086023, 3086030, 3086077, 3086461, 3087072, 3087140, 3087625, 3087736, 3088084, 3088390, 3088561, 3089867, 3090097, 3090395, 3090520, 3090634, 3090719, 3090752, 3090793, 3091046, 3092633, 3093121, 3093462, 3094511, 3094804, 3095040, 3095487, 3095716, 3095770, 3095997, 3096033, 3096497, 3096831, 3096944, 3097584, 3098051, 3098257, 3099758, 3100102, 3100505, 3100742, 3101283, 3101646, 3102575, 3103228, 3103579, 3103667, 3103738, 3104015, 3104096, 3104444, 3104581, 3105031, 3105237, 3105517, 3105544, 3105730, 3106113, 3106461, 3106542, 3106679, 3107531, 3108614, 3109129, 3109213, 3109492, 3109521, 3109826, 3109912, 3110184, 3110437, 3111235, 3112030, 3112335, 3112380, 3112993, 3113007, 3113076, 3113891, 3114378, 3114548, 3114629, 3114782, 3115354, 3115458, 3115630, 3115862, 3116088, 3116444, 3116750, 3116806, 3117060, 3117087, 3117274, 3117418, 3117565, 3117776, 3118202, 3118336, 3118397, 3119089, 3119327, 3119568, 3120206, 3121862, 3121963, 3122182, 3122619, 3122845, 3124009, 3124306, 3125807, 3126269, 3126274, 3126302, 3126549, 3126644, 3126941, 3127428, 3127868, 3127926, 3128061, 3128120, 3129023, 3129454, 3129643, 3129975, 3130682, 3131077, 3131567, 3131589, 3131952, 3132256, 3132421, 3132719, 3133190, 3133720, 3133831, 3133862, 3134046, 3134396, 3134492, 3135076, 3135477, 3135789, 3135947, 3136116, 3136225, 3136366, 3136902, 3137285, 3137614, 3137765, 3137802, 3138017, 3138368, 3138496, 3138648, 3138676, 3138797, 3138998, 3139051, 3139360, 3139653, 3139762, 3139823, 3140130, 3140235, 3140331, 3141617, 3141959, 3142047, 3142759, 3142805, 3142818, 3143116, 3143299, 3143318, 3143366, 3143506, 3144784, 3144960, 3144975, 3145027, 3145040, 3145311, 3145650, 3146049, 3146205, 3146266, 3146307, 3146606, 3147010, 3147061, 3147076, 3147293, 3147485, 3147669, 3148301, 3148639, 3148795, 3148903, 3149531, 3149654, 3150067, 3150845, 3151063, 3151312, 3151998, 3153162, 3153236, 3153732, 3153776, 3153878, 3154065, 3154218, 3154354, 3155132, 3155282, 3155627, 3155955, 3156288, 3156478, 3156535, 3156665, 3157036, 3157185, 3157603, 3157678, 3157807, 3158766, 3159164, 3159767, 3159863, 3159914, 3160114, 3160173, 3160635, 3161518, 3161674, 3161681, 3161844, 3162199, 3162204, 3163359, 3164086, 3164193, 3165432, 3166303, 3166757, 3166802, 3166864, 3166958, 3167042, 3167078, 3167232, 3167541, 3167585, 3168218, 3168546, 3168552, 3168779, 3168909, 3169701, 3169738, 3170253, 3170497, 3170524, 3170909, 3170991, 3171199, 3171569, 3171806, 3172032, 3172321, 3173229, 3173432, 3173696, 3174121, 3174523, 3175330, 3175683, 3175970, 3176502, 3176520, 3176984, 3177300, 3177892, 3178521, 3178691, 3178994, 3179770, 3179802, 3180023, 3180651, 3180739, 3180740, 3180960, 3181027, 3181704, 3182080, 3182139, 3183096, 3183581, 3183812, 3183967, 3184168, 3184244, 3184543, 3185351, 3186061, 3186260, 3186357, 3186494, 3187501, 3188104, 3188392, 3188414, 3188874, 3189374, 3189403, 3189572, 3190747, 3190812, 3191047, 3191397, 3191517, 3191730, 3192258, 3193172, 3193223, 3194238, 3194674, 3195601, 3195951, 3196009, 3196028, 3196242, 3196255, 3196736, 3197286, 3197380, 3197391, 3197718, 3197816, 3198036, 3198760, 3198793, 3199021, 3199575, 3199814, 3200153, 3201130, 3201362, 3201984, 3202208, 3202262, 3202590, 3202602, 3202739, 3202816, 3203333, 3203658, 3204326, 3204342, 3205240, 3205361, 3205376, 3205445, 3205501, 3206110, 3206428, 3207108, 3207274, 3207628, 3207855, 3208029, 3208101, 3209339, 3209523, 3209675, 3210195, 3210337, 3210761, 3211880, 3212064, 3212456, 3212708, 3213402, 3213824, 3214345, 3214528, 3214794, 3214866, 3214999, 3215792, 3216053, 3216172, 3216419, 3216757, 3216798, 3217170, 3217541, 3217585, 3217822, 3217915, 3218134, 3218376, 3218829, 3218895, 3218928, 3219123, 3219395, 3219719, 3220288, 3220336, 3220434, 3220633, 3220741, 3221041, 3221526, 3221718, 3221849, 3222217, 3222579, 3222719, 3222724, 3222787, 3222940, 3223190, 3223271, 3224108, 3224320, 3224396, 3224405, 3224732, 3224761, 3224826, 3224923, 3225333, 3225755, 3225973, 3226366, 3226371, 3226473, 3226530, 3227367, 3229444, 3229513, 3229581, 3229639, 3229666, 3229823, 3230126, 3230134, 3230575, 3231387, 3231684, 3231762, 3231786, 3232742, 3233059, 3233380, 3233461, 3233578, 3234339, 3234559, 3234800, 3235893, 3235933, 3236272, 3237119, 3237535, 3237785, 3237818, 3238565, 3238799, 3238855, 3238930, 3239084, 3239673, 3239851, 3239864, 3239981, 3240179, 3240539, 3241261, 3241318, 3241371, 3242070, 3242474, 3243386, 3243825, 3244132, 3244338, 3244456, 3245187, 3245892, 3246158, 3246181, 3247153, 3247394, 3247464, 3247699, 3247875, 3247965, 3248487, 3248548, 3248561, 3248614, 3248945, 3249748, 3249783, 3250470, 3250543, 3251297, 3251492, 3251968, 3251994, 3252008, 3252062, 3252101, 3252517, 3252925, 3254059, 3254696, 3254740, 3255334, 3255378, 3255843, 3256070, 3256134, 3256659, 3256886, 3257316, 3258002, 3258204, 3260384, 3260462, 3260624, 3260709, 3261080, 3261610, 3261982, 3262018, 3262066, 3262294, 3262355, 3262525, 3262749, 3263075, 3263150, 3263297, 3263315, 3263582, 3263878, 3264764, 3265463, 3265639, 3265823, 3266062, 3266160, 3268407, 3268946, 3268975, 3269196, 3270136, 3270247, 3270328, 3270380, 3270410, 3270476, 3271525, 3271614, 3271662, 3271958, 3271981, 3272118, 3273002, 3273110, 3273627, 3273955, 3275269, 3275297, 3275565, 3275628, 3276539, 3276613, 3277266, 3277436, 3277575, 3277702, 3277956, 3278104, 3278506, 3278512, 3278541, 3278675, 3278717, 3279047, 3279146, 3279358, 3279411, 3280037, 3280360, 3280605, 3280627, 3281358, 3281682, 3281805, 3282060, 3282173, 3282418, 3282557, 3282968, 3283172, 3283277, 3283452, 3283510, 3284120, 3284357, 3284931, 3285486, 3285728, 3285756, 3285822, 3286028, 3286306, 3286531, 3287461, 3287483, 3287534, 3287651, 3287882, 3288081, 3288194, 3288235, 3288421, 3288861, 3289587, 3289593, 3289956, 3290277, 3290554, 3290815, 3290851, 3291685, 3291956, 3292090, 3292408, 3292675, 3293279, 3293403, 3293544, 3294648, 3295000, 3295263, 3295515, 3295520, 3295634, 3296213, 3296803, 3296842, 3296930, 3297221, 3297513, 3297903, 3298275, 3298553, 3298645, 3299113, 3299511, 3299753, 3299901, 3300089, 3300198, 3300248, 3300408, 3300709, 3300845, 3300964, 3301127, 3301496, 3301916, 3302608, 3303516, 3305043, 3305064, 3305110, 3305176, 3305233, 3305249, 3305684, 3305926, 3306426, 3306544, 3307551, 3307579, 3307596, 3307603, 3307667, 3307724, 3308542, 3309357, 3309962, 3310655, 3311867, 3311985, 3312369, 3312489, 3312768, 3312805, 3313089, 3313210, 3313431, 3313772, 3314578, 3314718, 3314727, 3314987, 3315326, 3315389, 3316167, 3316445, 3316497, 3316593, 3316980, 3317224, 3317275, 3317365, 3317658, 3317947, 3318233, 3318324, 3318338, 3318409, 3318513, 3318653, 3318666, 3319312, 3320247, 3321662, 3321782, 3322063, 3322153, 3322573, 3322758, 3323877, 3324130, 3325038, 3325315, 3325337, 3325811, 3325889, 3326742, 3327155, 3327332, 3328078, 3328299, 3328327, 3328392, 3328763, 3329411, 3329827, 3329999, 3330107, 3330536, 3330597, 3330942, 3331411, 3331544, 3331698, 3331871, 3331961, 3332046, 3332093, 3332222, 3332617, 3332672, 3332732, 3333039, 3333277, 3333599, 3333716, 3333733, 3333798, 3333922, 3334382, 3335104, 3335299, 3336242, 3336255, 3336529, 3336949, 3337214, 3337589, 3337651, 3337987, 3338256, 3338502, 3339764, 3339829, 3339873, 3340269, 3340906, 3341179, 3341600, 3341703, 3342282, 3342456, 3342491, 3342666, 3344138, 3344604, 3344730, 3344948, 3345214, 3345273, 3345688, 3345727, 3346191, 3346510, 3346757, 3347254, 3347283, 3347523, 3347687, 3347717, 3347772, 3347996, 3348361, 3348829, 3348847, 3349000, 3349244, 3349752, 3350127, 3350949, 3351719, 3351854, 3351905, 3352113, 3352425, 3352511, 3352816, 3353007, 3353914, 3354053, 3354277, 3354507, 3354695, 3354843, 3354896, 3354922, 3355685, 3355779, 3356110, 3356666, 3356786, 3357281, 3357297, 3357364, 3357691, 3357710, 3358050, 3358062, 3358251, 3358300, 3358544, 3358670, 3358682, 3358785, 3358839, 3359157, 3359756, 3359845, 3359996, 3360143, 3360365, 3360430, 3360539, 3360681, 3361198, 3361568, 3361728, 3362065, 3362098, 3362474, 3362972, 3363130, 3363362, 3364148, 3364786, 3364942, 3365073, 3365434, 3365591, 3365633, 3365954, 3366534, 3367781, 3367957, 3367970, 3368172, 3368230, 3369274, 3369994, 3370554, 3370704, 3370716, 3371033, 3371190, 3371546, 3371630, 3371641, 3372067, 3372210, 3372283, 3372920, 3373455, 3374009, 3374312, 3374736, 3375022, 3375966, 3376889, 3377417, 3377522, 3377671, 3378817, 3378863, 3379534, 3380264, 3380509, 3380633, 3380706, 3380839, 3381030, 3381425, 3381526, 3381882, 3381987, 3382244, 3382848, 3382899, 3382918, 3383538, 3383694, 3384019, 3384038, 3384046, 3384628, 3385007, 3385412, 3385540, 3386261, 3386920, 3387027, 3387355, 3387475, 3387798, 3387936, 3388547, 3388838, 3388860, 3389216, 3389387, 3389536, 3389574, 3389729, 3389747, 3389806, 3389812, 3390240, 3391199, 3391500, 3391773, 3391978, 3392201, 3393229, 3393718, 3393740, 3393766, 3393993, 3394026, 3394473, 3394675, 3395479, 3395921, 3397152, 3397616, 3397712, 3398046, 3399311, 3399460, 3399548, 3400215, 3400426, 3400633, 3400698, 3401094, 3401174, 3401273, 3401499, 3401542, 3401615, 3401718, 3401784, 3401898, 3402185, 3402235, 3402272, 3402314, 3402331, 3403065, 3403142, 3403190, 3403702, 3403886, 3404001, 3404297, 3404439, 3404842, 3405179, 3405539, 3405571, 3405908, 3406067, 3406089, 3406318, 3406660, 3406744, 3406937, 3406951, 3407163, 3407367, 3407733, 3408166, 3408184, 3408242, 3408547, 3409161, 3409324, 3409841, 3409885, 3409978, 3410342, 3410390, 3411850, 3412225, 3412232, 3412254, 3412523, 3412709, 3412800, 3413138, 3413616, 3413948, 3414118, 3414394, 3415022, 3415256, 3415373, 3415588, 3415760, 3416582, 3416783, 3417064, 3417346, 3418115, 3418349, 3418357, 3418539, 3419113, 3419286, 3419696, 3419784, 3419960, 3420105, 3420203, 3420514, 3420586, 3421482, 3422503, 3423179, 3423275, 3423316, 3423494, 3424599, 3424820, 3424936, 3425190, 3425376, 3425715, 3426020, 3426319, 3427222, 3427343, 3427379, 3427388, 3428101, 3428563, 3428805, 3428871, 3429026, 3430025, 3430188, 3430304, 3430571, 3430584, 3430600, 3430809, 3431305, 3431486, 3431495, 3432325, 3432909, 3433194, 3433347, 3433386, 3433588, 3433719, 3434037, 3434221, 3435237, 3435288, 3435544, 3435777, 3435866, 3436425, 3436511, 3436651, 3437420, 3437610, 3438005, 3438378, 3439131, 3439274, 3439379, 3440587, 3440623, 3440659, 3441270, 3441500, 3442196, 3442382, 3442622, 3442789, 3443262, 3443620, 3443643, 3444791, 3445171, 3445607, 3445758, 3445982, 3446069, 3446194, 3446502, 3446626, 3447050, 3447322, 3448213, 3448258, 3448582, 3448609, 3448628, 3448842, 3448968, 3449039, 3449401, 3449493, 3449765, 3449770, 3449815, 3450059, 3450158, 3450197, 3450620, 3451066, 3451419, 3451424, 3451438, 3451452, 3452127, 3452139, 3452451, 3452607, 3452661, 3452824, 3453183, 3453360, 3453903, 3454395, 3454520, 3454537, 3454787, 3455087, 3455941, 3456645, 3457422, 3457469, 3458003, 3459101, 3459215, 3459670, 3459805, 3459948, 3459999, 3460107, 3460387, 3460444, 3460903, 3460942, 3461095, 3461138, 3461152, 3461193, 3461621, 3461730, 3461768, 3462052, 3462236, 3462533, 3462680, 3462748, 3462803, 3463259, 3463487, 3464755, 3465384, 3465473, 3465495, 3465920, 3465964, 3466377, 3466573, 3467181, 3467247, 3467286, 3467476, 3468081, 3468185, 3468291, 3468465, 3470159, 3470362, 3470564, 3470876, 3472202, 3472322, 3472509, 3472840, 3473090, 3473182, 3473709, 3473744, 3474068, 3474181, 3474454, 3475039, 3475066, 3476606, 3476685, 3476956, 3477143, 3477321, 3477571, 3477789, 3478015, 3478199, 3478671, 3478806, 3478812, 3478830, 3478926, 3479171, 3479838, 3480034, 3480447, 3480450, 3481550, 3481824, 3482378, 3482446, 3482507, 3482614, 3482798, 3483732, 3483754, 3483776, 3484271, 3484325, 3484383, 3484445, 3484944, 3485750, 3486119, 3486777, 3487177, 3487228, 3487314, 3487603, 3487690, 3487848, 3487883, 3488214, 3488286, 3488448, 3488865, 3489010, 3489398, 3489600, 3489950, 3490418, 3490754, 3490776, 3490977, 3491357, 3491441, 3491726, 3491828, 3492183, 3492639, 3492640, 3492859, 3492885, 3493529, 3494008, 3494031, 3494403, 3494698, 3494827, 3494840, 3494983, 3495309, 3495454, 3495602, 3495924, 3496163, 3496230, 3496576, 3496704, 3496879, 3496981, 3497486, 3497495, 3497646, 3497709, 3497874, 3498167, 3498606, 3498788, 3498895, 3499603, 3499690, 3500045, 3500074, 3500185, 3501024, 3501635, 3501732, 3502374, 3502572, 3502768, 3502892, 3503340, 3503384, 3503462, 3504077, 3505355, 3505548, 3505599, 3505888, 3506814, 3506935, 3507275, 3507441, 3507711, 3508428, 3508444, 3508639, 3509290, 3509700, 3509781, 3509982, 3510115, 3510179, 3510929, 3511198, 3511299, 3511318, 3511646, 3512751, 3512935, 3513209, 3513551, 3513807, 3514161, 3514597, 3514653, 3514714, 3516113, 3516169, 3516309, 3516391, 3516425, 3517009, 3517035, 3517044, 3517443, 3517700, 3517758, 3517965, 3518039, 3518163, 3518277, 3518452, 3519799, 3519811, 3520043, 3520154, 3520360, 3520472, 3520627, 3520639, 3520640, 3521008, 3521050, 3521322, 3521976, 3522052, 3522439, 3522504, 3522644, 3522725, 3523027, 3523259, 3523802, 3524099, 3524143, 3524196, 3524219, 3524600, 3525462, 3525541, 3525874, 3525937, 3526496, 3526531, 3527041, 3527461, 3527771, 3528159, 3528395, 3528421, 3529474, 3529546, 3529796, 3530053, 3530109, 3530191, 3530945, 3531266, 3531325, 3531501, 3531524, 3531796, 3532353, 3533251, 3533374, 3533489, 3534550, 3534676, 3535097, 3535256, 3535329, 3535449, 3535465, 3535520, 3535992, 3536236, 3536320, 3536549, 3536557, 3536628, 3536889, 3536912, 3536930, 3537216, 3538789, 3538863, 3539410, 3539753, 3540078, 3540254, 3540447, 3540728, 3540780, 3541080, 3541091, 3541359, 3541595, 3541745, 3542128, 3542843, 3543281, 3543834, 3544190, 3544361, 3544399, 3544445, 3544909, 3545015, 3545428, 3546296, 3546572, 3546948, 3547449, 3547667, 3548012, 3548068, 3548335, 3548476, 3548483, 3548651, 3549252, 3550320, 3551164, 3551293, 3551441, 3552183, 3552428, 3552444, 3553420, 3553654, 3553860, 3553982, 3554288, 3554358, 3555534, 3555771, 3556027, 3556109, 3556128, 3556172, 3556525, 3556815, 3556888, 3557121, 3557248, 3557594, 3557660, 3557735, 3557822, 3558134, 3558189, 3558796, 3558850, 3558956, 3559045, 3559314, 3559579, 3559883, 3560377, 3560801, 3560838, 3560998, 3561141, 3561564, 3561787, 3561953, 3562113, 3562637, 3562919, 3563137, 3563143, 3563196, 3563201, 3563304, 3563931, 3563950, 3564532, 3564614, 3564733, 3564843, 3565049, 3565284, 3565497, 3565606, 3566558, 3567609, 3568031, 3568119, 3568175, 3568403, 3568616, 3568657, 3568805, 3568866, 3569149, 3569305, 3569709, 3570119, 3570138, 3570403, 3570698, 3571059, 3571410, 3571503, 3571739, 3572022, 3572263, 3572596, 3572854, 3573016, 3573501, 3573831, 3573909, 3573956, 3574200, 3574222, 3574405, 3574582, 3575151, 3575669, 3575950, 3576165, 3576429, 3576915, 3576920, 3577135, 3577334, 3577583, 3577614, 3577864, 3578211, 3579148, 3579265, 3579428, 3579472, 3579773, 3579786, 3579823, 3580142, 3580546, 3580677, 3580685, 3581154, 3581444, 3581456, 3581574, 3582032, 3582333, 3582468, 3582914, 3582986, 3583503, 3583620, 3584157, 3584232, 3584248, 3584450, 3584568, 3584601, 3584988, 3585595, 3586449, 3586470, 3586564, 3587138, 3587322, 3587381, 3587768, 3588038, 3588114, 3588351, 3589156, 3589487, 3589599, 3589896, 3590208, 3590262, 3590637, 3591493, 3591548, 3591647, 3591695, 3592140, 3592443, 3592632, 3593265, 3593298, 3593352, 3593714, 3594069, 3594280, 3594502, 3594689, 3594719, 3595024, 3595186, 3595315, 3596099, 3596669, 3596767, 3597400, 3597458, 3597764, 3598089, 3598506, 3598601, 3598763, 3598874, 3599062, 3599296, 3599322, 3599591, 3599616, 3599657, 3600064, 3600428, 3600747, 3600841, 3601175, 3601237, 3601411, 3602930, 3603241, 3603268, 3603561, 3603608, 3603629, 3604357, 3604566, 3605392, 3605414, 3605450, 3605530, 3605601, 3605791, 3606072, 3606385, 3606451, 3606529, 3606595, 3606661, 3606916, 3607454, 3607511, 3607857, 3608097, 3608235, 3608421, 3608498, 3609240, 3609271, 3609310, 3609552, 3609641, 3609886, 3611334, 3611446, 3611475, 3611837, 3612072, 3612171, 3612377, 3612529, 3612887, 3613002, 3613088, 3613428, 3613491, 3614185, 3615565, 3615923, 3616099, 3616539, 3617004, 3617190, 3617606, 3618149, 3618165, 3618431, 3618523, 3618619, 3618687, 3619374, 3619805, 3619983, 3620626, 3621281, 3621315, 3621557, 3621672, 3621826, 3621855, 3622621, 3623067, 3623207, 3623512, 3623624, 3624229, 3624407, 3624718, 3624771, 3625757, 3625820, 3625879, 3625896, 3626560, 3626685, 3627238, 3627370, 3627929, 3628346, 3628830, 3628903, 3629226, 3629290, 3629852, 3630392, 3630506, 3630512, 3631819, 3631921, 3632507, 3632749, 3633418, 3633617, 3633707, 3634190, 3635043, 3635148, 3635161, 3635249, 3635409, 3635480, 3635513, 3635729, 3635762, 3635903, 3637058, 3637081, 3637655, 3637787, 3638030, 3638262, 3638344, 3638602, 3638637, 3638849, 3638857, 3639293, 3639349, 3640843, 3640981, 3641354, 3642090, 3642232, 3642254, 3642371, 3642744, 3642902, 3643220, 3643467, 3643839, 3644166, 3644377, 3645058, 3645373, 3645465, 3645515, 3645667, 3645940, 3645984, 3646038, 3646052, 3646060, 3646245, 3646364, 3646617, 3646994, 3647088, 3647233, 3647360, 3647967, 3648441, 3648742, 3648789, 3648828, 3648908, 3649208, 3649578, 3650490, 3651122, 3651181, 3651664, 3652177, 3652209, 3652217, 3652404, 3652793, 3653829, 3654471, 3654644, 3654656, 3654811, 3654855, 3655007, 3655025, 3655061, 3655275, 3655947, 3656133, 3657040, 3657757, 3658184, 3658385, 3658402, 3658562, 3658713, 3658949, 3659324, 3659346, 3659456, 3659574, 3660178, 3660376, 3660436, 3660873, 3661444, 3661618, 3662025, 3662102, 3662115, 3662333, 3662430, 3662485, 3662711, 3663380, 3663410, 3663771, 3663993, 3664165, 3664232, 3664652, 3664920, 3665464, 3665774, 3665824, 3666074, 3666690, 3666984, 3667336, 3667403, 3667723, 3667853, 3668364, 3668557, 3668644, 3669419, 3669599, 3670549, 3670803, 3670826, 3670930, 3671010, 3671025, 3671188, 3671527, 3671697, 3671950, 3672597, 3673080, 3673226, 3673699, 3674759, 3674871, 3675030, 3675739, 3676156, 3676206, 3676342, 3676401, 3676446, 3676561, 3676879, 3677067, 3677149, 3677248, 3677495, 3677869, 3678016, 3678271, 3678348, 3678587, 3679244, 3679634, 3679918, 3679966, 3680226, 3680385, 3680654, 3681194, 3681465, 3681793, 3681854, 3681905, 3682960, 3683102, 3684163, 3684460, 3684554, 3684576, 3684662, 3684798, 3684969, 3685016, 3685033, 3685538, 3685560, 3685808, 3685909, 3686360, 3686934, 3687024, 3687173, 3687343, 3687644, 3687691, 3687776, 3687811, 3688490, 3689594, 3689897, 3690025, 3690316, 3690382, 3690518, 3692126, 3692354, 3692593, 3692743, 3693362, 3693603, 3694037, 3694684, 3694885, 3694894, 3695572, 3695580, 3695827, 3695954, 3696309, 3696567, 3696740, 3696975, 3697063, 3697072, 3697226, 3697242, 3697648, 3697921, 3698018, 3698223, 3698367, 3698716, 3698958, 3699565, 3700040, 3701065, 3701587, 3701630, 3701659, 3701972, 3702089, 3702392, 3702447, 3702530, 3702638, 3703251, 3703616, 3704377, 3704676, 3704846, 3705168, 3705329, 3705760, 3705984, 3706521, 3706826, 3706867, 3707110, 3707581, 3707786, 3708477, 3708505, 3708539, 3709023, 3709136, 3709286, 3709410, 3709542, 3709718, 3709857, 3709987, 3712075, 3712466, 3712565, 3712628, 3712672, 3712748, 3713117, 3713163, 3714048, 3714674, 3714703, 3715157, 3715210, 3715881, 3715964, 3716028, 3716479, 3716586, 3716982, 3717145, 3717938, 3718022, 3718168, 3718449, 3718724, 3718825, 3719057, 3719413, 3719873, 3720224, 3720742, 3722111, 3722310, 3722623, 3722677, 3722829, 3722956, 3723256, 3723457, 3723752, 3723918, 3723939, 3724581, 3725101, 3725467, 3726006, 3726335, 3726753, 3727017, 3727242, 3727846, 3728583, 3728936, 3729236, 3729521, 3729582, 3729889, 3730244, 3730331, 3730386, 3730502, 3730537, 3730861, 3730953, 3731131, 3731533, 3731732, 3731994, 3732047, 3732313, 3732535, 3733340, 3733638, 3734174, 3734181, 3734363, 3734372, 3734454, 3734503, 3734975, 3735510, 3736458, 3736944, 3737120, 3737260, 3738338, 3738375, 3738666, 3738714, 3739289, 3739824, 3740031, 3740202, 3740478, 3740544, 3740723, 3740853, 3741181, 3741425, 3741432, 3741476, 3741499, 3741615, 3741739, 3741833, 3742130, 3742543, 3742752, 3742810, 3743239, 3743808, 3744388, 3744492, 3744691, 3744783, 3744842, 3744985, 3745032, 3745789, 3746210, 3746687, 3746744, 3746845, 3746951, 3747608, 3747765, 3747936, 3748573, 3749249, 3749435, 3749472, 3749830, 3750057, 3750189, 3751324, 3751903, 3752143, 3752789, 3752835, 3753335, 3753391, 3753407, 3753589, 3753960, 3754675, 3754915, 3755080, 3755105, 3755648, 3756000, 3756854, 3756876, 3757160, 3757300, 3757411, 3758274, 3759018, 3759599, 3760718, 3760865, 3761259, 3761294, 3761554, 3761647, 3762192, 3762875, 3763204, 3763346, 3763653, 3763684, 3763773, 3763841, 3763877, 3764515, 3764543, 3764876, 3765492, 3765565, 3765754, 3765890, 3766115, 3766164, 3766365, 3766494, 3767155, 3767292, 3767862, 3767886, 3768198, 3768339, 3768512, 3769146, 3769403, 3769999, 3770067, 3771105, 3771242, 3771420, 3771488, 3771654, 3771846, 3772342, 3772390, 3772981, 3773672, 3773748, 3773867, 3774134, 3774779, 3774928, 3774944, 3774972, 3775456, 3775558, 3775627, 3775830, 3775942, 3775967, 3776264, 3777465, 3777603, 3778181, 3778309, 3778363, 3778705, 3779252, 3779844, 3780418, 3780803, 3780834, 3781102, 3781412, 3781423, 3781835, 3781856, 3781929, 3782110, 3782319, 3783153, 3783192, 3783648, 3783970, 3784124, 3785145, 3785363, 3785664, 3786259, 3786342, 3786686, 3786997, 3787254, 3787305, 3787530, 3788082, 3788702, 3788873, 3789362, 3789502, 3789760, 3790887, 3790904, 3791194, 3791280, 3791395, 3792229, 3792363, 3792372, 3792589, 3792821, 3792898, 3793430, 3793880, 3793950, 3794109, 3794390, 3794487, 3794843, 3794936, 3795422, 3795497, 3795538, 3796183, 3796522, 3796830, 3796926, 3797150, 3797889, 3798119, 3798563, 3798794, 3798884, 3800379, 3800427, 3800565, 3800776, 3800811, 3801076, 3801201, 3801293, 3802110, 3802257, 3802352, 3802375, 3802456, 3802762, 3802926, 3803118, 3803267, 3803824, 3804442, 3804961, 3805012, 3805335, 3805425, 3805432, 3806554, 3807248, 3807577, 3807601, 3807800, 3808474, 3808593, 3809000, 3810366, 3810619, 3810693, 3811105, 3811171, 3811289, 3811586, 3811632, 3811801, 3812053, 3812294, 3812510, 3812802, 3813131, 3813269, 3813302, 3813337, 3813598, 3813842, 3815176, 3816313, 3816509, 3816563, 3816616, 3817579, 3817738, 3817807, 3818059, 3818542, 3819054, 3819179, 3819645, 3819856, 3819908, 3820677, 3820779, 3820862, 3820909, 3821107, 3821176, 3821221, 3821639, 3821729, 3821786, 3821934, 3822891, 3823030, 3823214, 3823766, 3823804, 3824283, 3824577, 3824675, 3824897, 3825192, 3825875, 3826329, 3826331, 3827073, 3827426, 3827544, 3827682, 3827706, 3827785, 3827818, 3828052, 3828129, 3828565, 3828799, 3828959, 3829156, 3829230, 3829686, 3829864, 3830578, 3830771, 3830821, 3831005, 3831367, 3831438, 3831647, 3831843, 3832044, 3832330, 3832700, 3833360, 3833773, 3834373, 3834465, 3834775, 3835060, 3835114, 3835129, 3835364, 3835930, 3836099, 3836115, 3836188, 3836349, 3836553, 3836835, 3836856, 3837065, 3837190, 3837240, 3837737, 3838414, 3838780, 3838996, 3839095, 3839220, 3839313, 3839455, 3840166, 3840203, 3840242, 3840488, 3840529, 3840683, 3840758, 3841280, 3842231, 3842664, 3842718, 3842960, 3843115, 3843246, 3843357, 3843370, 3843505, 3844156, 3844401, 3844525, 3844851, 3844864, 3844936, 3845606, 3845814, 3846088, 3846692, 3846911, 3847024, 3847093, 3847269, 3847466, 3847628, 3847776, 3847878, 3848193, 3848397, 3848517, 3848839, 3849198, 3849408, 3849512, 3849756, 3850219, 3850304, 3850856, 3851232, 3851414, 3851687, 3851800, 3852422, 3852560, 3852928, 3852972, 3853918, 3853927, 3854257, 3854417, 3854627, 3854911, 3854942, 3855517, 3855884, 3856718, 3857203, 3857573, 3857801, 3858163, 3858277, 3858446, 3858686, 3858820, 3859297, 3859609, 3859707, 3859890, 3860106, 3860194, 3860291, 3860825, 3860854, 3860861, 3861087, 3861269, 3861533, 3861570, 3861826, 3861906, 3862101, 3862187, 3862288, 3862509, 3862768, 3862983, 3863011, 3863207, 3863299, 3863717, 3863902, 3863964, 3864448, 3865268, 3865493, 3865561, 3865631, 3866016, 3866033, 3866292, 3866310, 3866715, 3866720, 3866796, 3867370, 3867950, 3868352, 3868671, 3869118, 3869514, 3869648, 3869998, 3870020, 3870823, 3870877, 3870934, 3871029, 3871544, 3872269, 3872281, 3872315, 3872453, 3872484, 3872912, 3873438, 3873733, 3874224, 3875055, 3875780, 3876009, 3876028, 3876166, 3876921, 3877273, 3877602, 3877615, 3877718, 3878168, 3878194, 3878810, 3878854, 3878927, 3879445, 3879668, 3879720, 3879808, 3880092, 3880223, 3880326, 3880493, 3880561, 3881021, 3881310, 3881850, 3881980, 3882011, 3882414, 3882652, 3883146, 3883871, 3884267, 3884488, 3884595, 3884736, 3884819, 3884921, 3885386, 3886492, 3886549, 3886710, 3886906, 3887088, 3887393, 3887569, 3887605, 3887841, 3887903, 3887926, 3889077, 3889214, 3889483, 3889688, 3889924, 3890175, 3891094, 3891328, 3891975, 3892081, 3892482, 3892551, 3892966, 3893021, 3893630, 3893685, 3893764, 3894803, 3895321, 3895406, 3895947, 3895950, 3896034, 3896429, 3896506, 3896902, 3897378, 3898056, 3898105, 3898226, 3898290, 3898312, 3898496, 3898550, 3899270, 3899456, 3899773, 3899934, 3900218, 3901199, 3901221, 3901545, 3901684, 3902137, 3902252, 3902412, 3902468, 3902636, 3903833, 3904157, 3904772, 3904791, 3905153, 3905797, 3906106, 3906159, 3906291, 3907101, 3907124, 3907381, 3907621, 3908644, 3908985, 3909180, 3909974, 3910251, 3910288, 3910948, 3911476, 3912588, 3912848, 3912918, 3912940, 3913016, 3913126, 3913190, 3913253, 3913376, 3913538, 3913743, 3913980, 3914570, 3915010, 3915025, 3915275, 3916735, 3916813, 3917144, 3917223, 3917277, 3917704, 3917765, 3918211, 3918234, 3918722, 3919002, 3919472, 3919841, 3920019, 3920213, 3920274, 3920557, 3921293, 3922043, 3922096, 3922319, 3922428, 3922627, 3922841, 3923290, 3923700, 3924050, 3924101, 3924146, 3924215, 3925041, 3925197, 3925214, 3925590, 3925901, 3926005, 3927248, 3927638, 3927744, 3927858, 3927920, 3928098, 3928497, 3930035, 3930056, 3930063, 3930080, 3931013, 3931168, 3931537, 3931588, 3931690, 3931719, 3931927, 3932085, 3932136, 3932229, 3932250, 3932602, 3932753, 3932960, 3933540, 3933872, 3934673, 3934686, 3934837, 3934900, 3935134, 3935538, 3936088, 3937533, 3937598, 3937994, 3939165, 3939735, 3939756, 3939920, 3940136, 3940718, 3941716, 3941922, 3942648, 3942758, 3944775, 3945162, 3945269, 3946196, 3946219, 3946636, 3946767, 3947376, 3947445, 3947720, 3947956, 3948756, 3948763, 3948822, 3949313, 3949509, 3950270, 3950522, 3950569, 3951187, 3951759, 3952418, 3952725, 3953223, 3953367, 3953650, 3953765, 3954151, 3954645, 3954674, 3954880, 3955638, 3955744, 3956887, 3957122, 3958168, 3958308, 3958626, 3958854, 3959332, 3959376, 3959552, 3959641, 3959928, 3959944, 3960156, 3960401, 3961917, 3962026, 3962371, 3962541, 3962858, 3962920, 3962988, 3963073, 3963381, 3963517, 3963805, 3964139, 3964330, 3965235, 3965314, 3965416, 3966315, 3967154, 3967324, 3967435, 3967859, 3968287, 3968304, 3968459, 3968485, 3968518, 3968767, 3968962, 3969454, 3969705, 3970382, 3970505, 3970742, 3970872, 3970891, 3971619, 3971693, 3971780, 3971902, 3971943, 3972082, 3972808, 3973168, 3973421, 3973498, 3973810, 3974107, 3974154, 3974692, 3974859, 3975296, 3975300, 3975426, 3975839, 3976328, 3976391, 3976407, 3976857, 3977402, 3978230, 3978277, 3978446, 3978864, 3978913, 3979799, 3979994, 3980457, 3980603, 3981131, 3981186, 3981617, 3981644, 3981867, 3982073, 3982509, 3983121, 3983170, 3983248, 3983585, 3983601, 3983902, 3984136, 3984174, 3984534, 3984849, 3985285, 3985561, 3986779, 3986814, 3987120, 3987995, 3988903, 3988934, 3988942, 3989289, 3989385, 3989547, 3990210, 3990283, 3990652, 3991278, 3991443, 3991531, 3991676, 3992144, 3992163, 3992355, 3992507, 3992510, 3992554, 3992599, 3992900, 3993060, 3993302, 3993521, 3993776, 3993799, 3994021, 3994677, 3995002, 3995298, 3995444, 3996220, 3996322, 3996712, 3997331, 3997449, 3997502, 3997724, 3997752, 3997876, 3997953, 3998197, 3998511, 3998784, 3999321, 3999592, 3999645, 3999767, 4000193, 4000563, 4000730, 4002097, 4002185, 4003383, 4003808, 4004129, 4004213, 4004656, 4005137, 4005553, 4005566, 4005571, 4005778, 4006121, 4006366, 4006568, 4006693, 4007837, 4007864, 4007896, 4008044, 4008056, 4008140, 4008171, 4008479, 4009692, 4009955, 4009989, 4010109, 4010135, 4010259, 4010631, 4011033, 4011098, 4011178, 4011383, 4011575, 4011612, 4011850, 4012429, 4012646, 4012693, 4012858, 4013152, 4013374, 4013455, 4013777, 4013805, 4013818, 4013907, 4014916, 4015130, 4016129, 4016162, 4016236, 4017417, 4017795, 4017877, 4017955, 4018151, 4018485, 4018734, 4019578, 4019679, 4019718, 4019766, 4019792, 4020140, 4020255, 4020488, 4020514, 4020654, 4021074, 4021235, 4021433, 4021520, 4021596, 4021883, 4021971, 4022077, 4022407, 4023224, 4023238, 4023293, 4023613, 4023622, 4023790, 4023835, 4024144, 4024367, 4024629, 4024958, 4025070, 4025190, 4025284, 4025501, 4026270, 4026639, 4026708, 4028215, 4028381, 4028591, 4028759, 4029157, 4029506, 4029902, 4030010, 4030518, 4031055, 4031078, 4031248, 4031339, 4031495, 4032134, 4032552, 4032788, 4032829, 4033537, 4033724, 4033939, 4034020, 4034043, 4034417, 4034627, 4034729, 4034750, 4035442, 4035455, 4035572, 4035580, 4035649, 4035777, 4036041, 4036407, 4036696, 4036821, 4037781, 4038401, 4038460, 4038493, 4038631, 4039173, 4039680, 4039867, 4040111, 4040361, 4040623, 4040694, 4040720, 4040743, 4041037, 4041249, 4041522, 4041786, 4041830, 4042151, 4042293, 4043534, 4043637, 4044207, 4045451, 4045531, 4045661, 4045722, 4046069, 4046272, 4046347, 4046457, 4046719, 4046810, 4046825, 4047029, 4047288, 4047871, 4047999, 4048222, 4048236, 4048504, 4048803, 4048842, 4049092, 4049650, 4049879, 4050727, 4050804, 4051438, 4051452, 4051576, 4051913, 4052009, 4052632, 4052700, 4052736, 4052781, 4052819, 4052916, 4052949, 4052970, 4052998, 4053500, 4053885, 4054308, 4054329, 4054350, 4054373, 4054386, 4054883, 4054905, 4055269, 4055364, 4055582, 4055691, 4055776, 4055912, 4056201, 4056726, 4057016, 4057227, 4057400, 4057575, 4057612, 4057850, 4058121, 4058353, 4058943, 4059892, 4059976, 4060338, 4060435, 4060684, 4060990, 4061572, 4062019, 4062129, 4062343, 4062878, 4063092, 4063144, 4063163, 4063608, 4063757, 4064423, 4064459, 4064571, 4064645, 4064726, 4065003, 4065340, 4065392, 4065462, 4065512, 4065568, 4065709, 4066226, 4066377, 4066632, 4066661, 4066722, 4066758, 4066774, 4067169, 4067410, 4067526, 4067771, 4067924, 4068185, 4068655, 4069575, 4069829, 4070350, 4071977, 4072381, 4072528, 4072670, 4073210, 4073248, 4073462, 4073473, 4073577, 4073791, 4073836, 4074023, 4074158, 4074208, 4074637, 4074664, 4074727, 4075487, 4076546, 4076668, 4076850, 4076886, 4077025, 4077143, 4077755, 4078079, 4078435, 4079127, 4079267, 4079377, 4079586, 4079916, 4080034, 4080067, 4080392, 4080568, 4080585, 4080869, 4080943, 4081063, 4081267, 4081289, 4081479, 4081632, 4081824, 4081949, 4082018, 4082475, 4082974, 4082981, 4083114, 4083471, 4083803, 4084111, 4084126, 4084142, 4084178, 4084623, 4084668, 4084909, 4085301, 4085513, 4085750, 4085795, 4086152, 4086580, 4086853, 4087177, 4088059, 4088077, 4088391, 4088740, 4089151, 4089252, 4089880, 4089931, 4089962, 4090114, 4090129, 4090466, 4090977, 4091179, 4091658, 4091674, 4091790, 4091891, 4092183, 4092352, 4092569, 4092684, 4092762, 4093072, 4093278, 4093573, 4094119, 4094279, 4095542, 4095901, 4096163, 4096191, 4096367, 4096608, 4096614, 4096757, 4097619, 4097902, 4098240, 4098935, 4099235, 4099579, 4099611, 4100055, 4100431, 4100822, 4100836, 4100874, 4101330, 4101648, 4102303, 4102326, 4102837, 4102851, 4103114, 4103803, 4104497, 4104560, 4104764, 4104991, 4105088, 4105491, 4105926, 4105934, 4105990, 4106119, 4106411, 4106591, 4106794, 4106892, 4107433, 4107793, 4107810, 4107854, 4108391, 4108567, 4108718, 4108898, 4109891, 4109914, 4110130, 4110611, 4110918, 4111052, 4111565, 4111799, 4111889, 4112948, 4113744, 4114041, 4114286, 4114526, 4114643, 4115424, 4115629, 4116436, 4116796, 4117025, 4117102, 4117293, 4117406, 4117681, 4118204, 4118569, 4118795, 4118859, 4119139, 4119330, 4119586, 4119875, 4119916, 4120077, 4120511, 4120664, 4120753, 4120898, 4120993, 4121144, 4121206, 4121974, 4122118, 4122127, 4122171, 4122933, 4123064, 4123301, 4123491, 4123574, 4123841, 4123911, 4124097, 4124386, 4124596, 4124861, 4125024, 4125707, 4126293, 4126423, 4126430, 4126697, 4126856, 4126931, 4128170, 4128414, 4128486, 4128874, 4128920, 4129300, 4129381, 4129591, 4129884, 4130417, 4130653, 4130666, 4131403, 4131509, 4132799, 4133053, 4133084, 4133922, 4134333, 4134622, 4134929, 4135026, 4136875, 4137250, 4137461, 4137651, 4138022, 4138185, 4138690, 4138719, 4138738, 4138876, 4138918, 4139332, 4139659, 4139715, 4139850, 4140236, 4140440, 4140492, 4140516, 4140761, 4141321, 4143377, 4144031, 4144146, 4144455, 4144633, 4145753, 4145804, 4146294, 4146367, 4146419, 4147447, 4147450, 4147486, 4147568, 4148445, 4148831, 4148935, 4148972, 4149106, 4149421, 4149449, 4150035, 4150550, 4150562, 4151036, 4151291, 4151350, 4151373, 4151787, 4151861, 4152085, 4152407, 4152602, 4152688, 4152901, 4152960, 4153293, 4153412, 4154191, 4154446, 4154487, 4155167, 4155348, 4155458, 4155641, 4156051, 4156409, 4156618, 4156830, 4157245, 4157776, 4157826, 4157834, 4158251, 4158591, 4158983, 4159232, 4159392, 4159429, 4159450, 4160316, 4160711, 4160809, 4160856, 4160872, 4160973, 4161594, 4162354, 4162917, 4163058, 4163168, 4163520, 4163883, 4164051, 4164154, 4164176, 4164346, 4165237, 4165528, 4165866, 4166145, 4167184, 4167479, 4167625, 4167654, 4168704, 4169258, 4169439, 4169776, 4170475, 4170647, 4170749, 4171070, 4171205, 4171469, 4172055, 4172116, 4172261, 4172506, 4173008, 4173434, 4173528, 4173563, 4173759, 4173892, 4174044, 4174306, 4174415, 4174625, 4174632, 4174676, 4175097, 4175217, 4175228, 4175347, 4175502, 4175626, 4175810, 4176811, 4176834, 4177640, 4177692, 4177868, 4178010, 4178224, 4178287, 4179068, 4179273, 4179766, 4180948, 4181068, 4181077, 4181476, 4181739, 4181865, 4182045, 4182927, 4183560, 4183612, 4183685, 4183862, 4183886, 4184147, 4184440, 4184466, 4185061, 4185398, 4185540, 4185914, 4186261, 4186559, 4186744, 4187241, 4187401, 4188745, 4188982, 4189037, 4189132, 4189806, 4189812, 4190103, 4190167, 4190361, 4190808, 4190935, 4191064, 4191096, 4191409, 4191463, 4191627, 4191639, 4192188, 4192485, 4193136, 4193231, 4193511, 4193526, 4193865, 4193882, 4194541, 4194601, 4194813, 4195009, 4195140, 4195420, 4196123, 4196603, 4196667, 4196760, 4196918, 4197029, 4197682, 4197983, 4198150, 4198635, 4199172, 4199446, 4199487, 4199525, 4199532, 4199629, 4199782, 4199798, 4199945, 4199981, 4200280, 4200308, 4200362, 4200520, 4200787, 4200971, 4200992, 4201570, 4202397, 4202572, 4203149, 4203182, 4203232, 4203897, 4204766, 4204792, 4204946, 4205378, 4205704, 4206400, 4206552, 4206808, 4207809, 4207828, 4208216, 4208221, 4208522, 4208605, 4208786, 4208823, 4208990, 4209267, 4209496, 4209736, 4209893, 4210196, 4211207, 4211728, 4212702, 4212814, 4212873, 4212886, 4212928, 4213000, 4213433, 4213449, 4213603, 4213940, 4214051, 4214148, 4215160, 4215374, 4215490, 4215509, 4216068, 4216208, 4216993, 4217028, 4217547, 4217562, 4217797, 4218084, 4218156, 4218438, 4218532, 4218576, 4219024, 4219504, 4219516, 4219557, 4219725, 4220107, 4220319, 4220324, 4220574, 4220692, 4220841, 4221490, 4221528, 4221759, 4222297, 4222453, 4222492, 4222582, 4222890, 4223084, 4223109, 4223163, 4223576, 4223629, 4223721, 4224048, 4224645, 4224929, 4225198, 4225305, 4225915, 4226312, 4226479, 4226573, 4226736, 4228564, 4228810, 4230066, 4230452, 4230662, 4230749, 4230981, 4231142, 4231361, 4231436, 4231552, 4231560, 4231751, 4231829, 4231963, 4232003, 4232392, 4232858, 4233047, 4233119, 4233336, 4233426, 4233442, 4233509, 4233563, 4233794, 4234625, 4235350, 4235667, 4235787, 4236213, 4236258, 4236617, 4237002, 4238316, 4238540, 4238613, 4238908, 4239664, 4239679, 4239833, 4239919, 4240327, 4241091, 4241105, 4241290, 4241359, 4241368, 4241415, 4241586, 4241887, 4241982, 4242241, 4242650, 4242704, 4242721, 4242757, 4244098, 4244325, 4244538, 4244850, 4244935, 4245393, 4245428, 4245795, 4246381, 4246604, 4247291, 4247350, 4247421, 4247551, 4247626, 4248041, 4248589, 4248898, 4248901, 4248938, 4249566, 4249778, 4250236, 4250258, 4250297, 4250492, 4251061, 4251238, 4252346, 4252360, 4252692, 4252955, 4253586, 4253916, 4254095, 4254403, 4254730, 4254961, 4255006, 4255309, 4255567, 4256419, 4256475, 4256900, 4256969, 4257055, 4257090, 4257198, 4257366, 4257937, 4257979, 4258082, 4258103, 4258218, 4259185, 4259194, 4259280, 4259482, 4259940, 4260242, 4260267, 4260508, 4260529, 4260838, 4261058, 4261106, 4261329, 4261537, 4261564, 4261746, 4261971, 4262068, 4262865, 4262952, 4263164, 4263835, 4264027, 4265142, 4265796, 4265944, 4266750, 4266806, 4266942, 4267019, 4267302, 4267466, 4267826, 4267959, 4268633, 4268840, 4268884, 4269198, 4269585, 4270193, 4270556, 4271410, 4271448, 4271454, 4271919, 4272329, 4272449, 4272678, 4273310, 4273612, 4273737, 4273814, 4273850, 4274504, 4274754, 4274941, 4275143, 4275219, 4275459, 4275540, 4276299, 4276414, 4276756, 4276822, 4277334, 4277704, 4277958, 4278017, 4278139, 4278242, 4278415, 4278508, 4278607, 4278700, 4278970, 4279079, 4279978, 4280239, 4280376, 4280474, 4280685, 4280963, 4281110, 4281257, 4281491, 4281581, 4281714, 4282032, 4282287, 4282468, 4282674, 4283122, 4283145, 4283476, 4284042, 4284261, 4284744, 4284943, 4285028, 4285105, 4285226, 4285359, 4285531, 4285699, 4286000, 4286642, 4287279, 4287544, 4287572, 4287840, 4288258, 4288351, 4288471, 4288710, 4288867, 4289092, 4289446, 4289507, 4290136, 4290309, 4290391, 4290410, 4290718, 4290821, 4291092, 4291223, 4291285, 4291815, 4292661, 4292887, 4293125, 4293161, 4293216, 4294177, 4294185, 4294642, 4295222, 4295269, 4295959, 4296441, 4296789, 4297016, 4297271, 4298318, 4298366, 4298874, 4299604, 4300402, 4301457, 4301787, 4302169, 4302317, 4302432, 4302865, 4302975, 4303048, 4303224, 4303622, 4303947, 4305332, 4305469, 4305630, 4305886, 4306043, 4306051, 4306204, 4306301, 4306444, 4306545, 4306747, 4307776, 4307867, 4308124, 4308336, 4309530, 4310222, 4310811, 4311370, 4311600, 4312375, 4312428, 4312868, 4313203, 4313290, 4313306, 4313437, 4313713, 4313797, 4314264, 4315309, 4315637, 4315651, 4316027, 4316334, 4316815, 4316969, 4317090, 4317225, 4317339, 4317559, 4317964, 4318167, 4318239, 4318538, 4318593, 4318751, 4319272, 4319678, 4319905, 4319966, 4320008, 4320657, 4321317, 4321637, 4321946, 4321987, 4322036, 4322626, 4322701, 4322899, 4324147, 4324245, 4324842, 4324889, 4325061, 4325459, 4326384, 4326772, 4326822, 4326996, 4327005, 4327040, 4327066, 4327896, 4328402, 4328562, 4328610, 4328661, 4328965, 4329064, 4329148, 4329806, 4330737, 4330873, 4331409, 4331472, 4331513, 4331812, 4331859, 4331990, 4332179, 4332398, 4332540, 4332592, 4333286, 4333567, 4333898, 4333952, 4333975, 4334447, 4334568, 4335330, 4335415, 4335420, 4335632, 4335654, 4336013, 4336724, 4337193, 4337215, 4337556, 4337657, 4337706, 4337983, 4338549, 4338725, 4338941, 4338977, 4339135, 4339460, 4339820, 4340007, 4340349, 4340856, 4343314, 4343746, 4343848, 4343854, 4344002, 4344841, 4345101, 4345220, 4345336, 4345345, 4345490, 4345621, 4345649, 4346356, 4346804, 4347234, 4347290, 4347306, 4347736, 4347852, 4348109, 4348206, 4348367, 4348389, 4348599, 4348721, 4349656, 4349732, 4349811, 4350036, 4350209, 4350482, 4350502, 4351075, 4352670, 4353353, 4354250, 4354664, 4354740, 4355532, 4355798, 4355888, 4356126, 4357973, 4358387, 4358885, 4359056, 4359063, 4359306, 4359745, 4360429, 4360473, 4360486, 4360559, 4361203, 4361654, 4362163, 4362334, 4362438, 4362673, 4362969, 4362997, 4363337, 4363364, 4363471, 4364227, 4364612, 4364980, 4365079, 4365346, 4365513, 4365640, 4366050, 4366336, 4367329, 4367701, 4368425, 4368792, 4369645, 4369973, 4370328, 4371005, 4371631, 4371650, 4372127, 4372420, 4372479, 4372562, 4372586, 4372819, 4373990, 4374074, 4374347, 4375754, 4376048, 4376102, 4376357, 4376398, 4376477, 4377178, 4377685, 4377737, 4377808, 4377850, 4378248, 4378523, 4378594, 4378717, 4378988, 4379322, 4379591, 4379604, 4379665, 4380812, 4381369, 4381397, 4381840, 4382440, 4382565, 4382628, 4382656, 4382754, 4383733, 4384010, 4384076, 4384252, 4384485, 4384986, 4385116, 4385327, 4385366, 4385486, 4385541, 4385902, 4385964, 4386009, 4386153, 4386211, 4386508, 4386529, 4387077, 4387425, 4388551, 4388939, 4389016, 4389253, 4389284, 4389538, 4389935, 4389980, 4390191, 4390608, 4390900, 4391253, 4391873, 4391928, 4391956, 4392414, 4392763, 4393313, 4393741, 4394852, 4394875, 4395022, 4395244, 4395603, 4395861, 4395953, 4396195, 4396427, 4396440, 4396799, 4397257, 4397360, 4397714, 4398260, 4398828, 4399006, 4399113, 4399158, 4399197, 4399262, 4399578, 4399590, 4399679, 4400132, 4400265, 4400301, 4400500, 4400830, 4401741, 4401777, 4402052, 4402281, 4402644, 4402977, 4403005, 4403071, 4403673, 4404120, 4404600, 4404674, 4404973, 4404995, 4405170, 4405495, 4405512, 4405652, 4405791, 4406028, 4406289, 4406330, 4406508, 4406745, 4406838, 4407960, 4408074, 4408159, 4408611, 4408927, 4409103, 4409178, 4409400, 4410012, 4410380, 4410753, 4410898, 4411066, 4411561, 4411629, 4412072, 4412957, 4414350, 4414667, 4414738, 4414899, 4415195, 4415315, 4415364, 4415635, 4415930, 4416494, 4416566, 4416817, 4416891, 4416995, 4417240, 4417524, 4417847, 4418165, 4418198, 4419345, 4419572, 4419884, 4420719, 4420724, 4421320, 4421440, 4421635, 4421680, 4421834, 4421855, 4421968, 4422175, 4422187, 4422426, 4422698, 4422954, 4422976, 4423133, 4423371, 4423530, 4423728, 4424534, 4424946, 4425040, 4425206, 4425493, 4425695, 4426189, 4426361, 4426399, 4426474, 4426808, 4427007, 4427115, 4427742, 4427973, 4428132, 4428463, 4428926, 4429127, 4429852, 4430003, 4430462, 4430594, 4430813, 4431488, 4431547, 4432156, 4432191, 4432285, 4432342, 4432475, 4432532, 4432576, 4432888, 4432945, 4433108, 4433582, 4433663, 4433754, 4433878, 4434049, 4434928, 4435319, 4435375, 4435463, 4435574, 4435692, 4435911, 4435926, 4436313, 4436544, 4436983, 4437350, 4437655, 4438100, 4438145, 4438380, 4438432, 4439007, 4439179, 4439645, 4439778, 4439790, 4440071, 4440532, 4441111, 4442055, 4442473, 4442709, 4442717, 4442772, 4442902, 4443031, 4443124, 4444385, 4444531, 4444676, 4444774, 4444797, 4445123, 4445449, 4445596, 4445760, 4445775, 4445918, 4446001, 4446707, 4446959, 4447148, 4447216, 4447942, 4448260, 4448789, 4448790, 4449006, 4450047, 4451476, 4451589, 4451870, 4452013, 4452626, 4453070, 4453189, 4453284, 4453354, 4454492, 4454680, 4454776, 4454842, 4455645, 4455703, 4455872, 4456276, 4456709, 4457554, 4457945, 4458072, 4458769, 4459480, 4459934, 4460400, 4460474, 4460677, 4460814, 4460886, 4461456, 4461463, 4461522, 4461618, 4462287, 4462494, 4462947, 4463023, 4463094, 4463410, 4463919, 4463946, 4463987, 4464090, 4464462, 4464915, 4465368, 4465488, 4466331, 4466689, 4467243, 4467657, 4467730, 4467818, 4468024, 4468046, 4468075, 4468725, 4468776, 4468889, 4468994, 4469285, 4469510, 4469629, 4469896, 4470114, 4470635, 4470799, 4470994, 4471613, 4471950, 4472079, 4472352, 4472417, 4472569, 4472574, 4472627, 4472639, 4473699, 4473904, 4474187, 4474288, 4474932, 4474961, 4475122, 4475145, 4475567, 4475615, 4475727, 4476144, 4476311, 4476401, 4477447, 4477675, 4478103, 4478218, 4479112, 4479724, 4479760, 4480184, 4480496, 4480736, 4480965, 4481244, 4482006, 4482231, 4482651, 4483164, 4483304, 4483566, 4483809, 4483908, 4484268, 4484475, 4484782, 4484997, 4485332, 4485560, 4486428, 4486536, 4487129, 4487236, 4487396, 4487968, 4488187, 4488193, 4488345, 4488403, 4489133, 4489276, 4489283, 4489414, 4489585, 4489638, 4489728, 4489744, 4489874, 4490099, 4490115, 4490844, 4491384, 4491559, 4491772, 4491881, 4492178, 4492271, 4493074, 4493386, 4493457, 4494125, 4494417, 4494522, 4494786, 4494877, 4495237, 4495777, 4495818, 4495954, 4496208, 4496391, 4496410, 4496526, 4496833, 4496924, 4497242, 4497529, 4497933, 4498561, 4498749, 4499075, 4499834, 4499930, 4500213, 4500388, 4500565, 4500826, 4500912, 4501252, 4501468, 4501726, 4501734, 4501891, 4502037, 4502428, 4502747, 4502877, 4502926, 4503211, 4503377, 4503514, 4503683, 4504014, 4504073, 4504101, 4504345, 4505705, 4506071, 4507248, 4507429, 4507568, 4507728, 4507836, 4507897, 4509362, 4509386, 4509854, 4509883, 4510735, 4513302, 4513878, 4514134, 4514310, 4514361, 4514519, 4515176, 4515428, 4515480, 4515618, 4515666, 4515684, 4516187, 4516237, 4517564, 4517634, 4517746, 4517953, 4518637, 4518784, 4519872, 4520422, 4520694, 4520917, 4521132, 4521444, 4521627, 4522224, 4522767, 4523229, 4523901, 4523946, 4524283, 4524339, 4524937, 4525289, 4526634, 4526678, 4526966, 4527322, 4527535, 4527698, 4527999, 4528162, 4528521, 4528707, 4528776, 4528834, 4529018, 4529156, 4529554, 4530113, 4530136, 4530214, 4530229, 4530503, 4531040, 4531223, 4531695, 4531837, 4531864, 4531974, 4532091, 4532323, 4532368, 4532464, 4532595, 4532648, 4532745, 4532769, 4533270, 4534081, 4534347, 4535644, 4535941, 4536950, 4537348, 4537862, 4538067, 4538327, 4538450, 4538473, 4538619, 4538660, 4538943, 4538996, 4539014, 4539215, 4539220, 4539279, 4539805, 4540267, 4540699, 4541626, 4541810, 4542136, 4542637, 4542882, 4543527, 4543789, 4544163, 4545134, 4545469, 4545743, 4546132, 4546375, 4547351, 4547440, 4547761, 4547959, 4548101, 4548251, 4548604, 4548657, 4548866, 4548907, 4549339, 4549414, 4549462, 4549791, 4549813, 4549979, 4550115, 4550246, 4550275, 4550950, 4550995, 4552266, 4552501, 4552814, 4553194, 4553498, 4553667, 4553953, 4554020, 4554319, 4554545, 4554640, 4555008, 4555961, 4555976, 4556214, 4556273, 4556578, 4556679, 4556739, 4556804, 4557127, 4557267, 4557573, 4557916, 4558053, 4558117, 4558285, 4558326, 4558548, 4559173, 4559799, 4559889, 4560373, 4560498, 4560611, 4560642, 4561186, 4561200, 4561245, 4561405, 4561680, 4562008, 4562050, 4562160, 4562288, 4562411, 4564328, 4564615, 4564679, 4564792, 4564804, 4565864, 4566307, 4566524, 4567224, 4567275, 4567477, 4567571, 4567600, 4567636, 4567931, 4568199, 4568581, 4568714, 4568750, 4568955, 4568967, 4569573, 4569676, 4569722, 4569824, 4570684, 4571029, 4571288, 4571313, 4571621, 4571871, 4572129, 4572195, 4572281, 4572565, 4573027, 4573326, 4573507, 4573525, 4573733, 4573997, 4574505, 4574778, 4574962, 4575340, 4575431, 4575813, 4576028, 4576437, 4576654, 4576661, 4576801, 4577273, 4578449, 4578992, 4579098, 4579239, 4579271, 4579694, 4579796, 4579886, 4580066, 4580135, 4580460, 4580493, 4580721, 4581103, 4581239, 4582283, 4584242, 4584531, 4584654, 4584904, 4585655, 4585701, 4586131, 4586440, 4586549, 4586557, 4586855, 4586906, 4587806, 4588658, 4588674, 4588995, 4589295, 4589356, 4589727, 4589771, 4590062, 4590138, 4590633, 4590665, 4590840, 4591262, 4591295, 4592678, 4592760, 4592876, 4593895, 4594315, 4594439, 4594440, 4594776, 4594855, 4595430, 4595658, 4595703, 4596450, 4596687, 4597583, 4597614, 4598153, 4598184, 4598550, 4598573, 4598781, 4599338, 4599666, 4599903, 4599934, 4600292, 4600606, 4600720, 4600886, 4601708, 4601934, 4602151, 4602316, 4602527, 4602622, 4603425, 4603526, 4603870, 4604198, 4604450, 4604675, 4605341, 4605801, 4606000, 4606074, 4606106, 4606141, 4606667, 4607202, 4607215, 4607604, 4607621, 4608114, 4608129, 4608516, 4608912, 4608985, 4608994, 4609599, 4609913, 4609958, 4610411, 4610489, 4610509, 4610591, 4610730, 4610818, 4611023, 4611059, 4611483, 4611511, 4612449, 4613310, 4613361, 4613587, 4614129, 4614343, 4614570, 4615083, 4615333, 4615468, 4615477, 4615485, 4615622, 4616305, 4616568, 4616594, 4616735, 4617117, 4617334, 4618368, 4618531, 4618562, 4619002, 4619319, 4619428, 4619456, 4620019, 4620114, 4620337, 4620405, 4620439, 4620453, 4620609, 4621115, 4621790, 4621835, 4622216, 4622513, 4622640, 4623234, 4623377, 4623661, 4624381, 4624827, 4625461, 4625919, 4626259, 4626879, 4627170, 4627225, 4627495, 4627735, 4627915, 4627920, 4628538, 4628552, 4628587, 4628928, 4629690, 4629719, 4629939, 4629966, 4630184, 4630547, 4630607, 4630893, 4630965, 4630982, 4631362, 4631465, 4631807, 4631825, 4632432, 4632542, 4633412, 4633914, 4633950, 4634438, 4634704, 4634843, 4635383, 4635788, 4636148, 4636435, 4636574, 4636640, 4637075, 4637617, 4638345, 4638657, 4638706, 4638827, 4639011, 4639104, 4639462, 4639858, 4639902, 4640231, 4640356, 4640448, 4640567, 4640664, 4640679, 4640946, 4641135, 4641424, 4641974, 4642056, 4642323, 4642341, 4642451, 4642722, 4642970, 4643183, 4643456, 4643536, 4643569, 4644106, 4644502, 4644899, 4645147, 4645635, 4646032, 4646252, 4647332, 4647546, 4648055, 4648067, 4648327, 4648473, 4648693, 4649785, 4649976, 4650051, 4650110, 4650154, 4650265, 4650569, 4651014, 4651264, 4652129, 4652200, 4652388, 4653510, 4653695, 4653721, 4653798, 4654382, 4654406, 4654584, 4654645, 4654828, 4655121, 4655339, 4655431, 4655473, 4655881, 4656758, 4657197, 4657372, 4658058, 4658141, 4658465, 4658689, 4659016, 4659189, 4659271, 4659546, 4659587, 4659980, 4660438, 4660475, 4660888, 4661167, 4661361, 4661935, 4662299, 4662756, 4662845, 4662988, 4663029, 4663031, 4663759, 4664009, 4664402, 4664547, 4664824, 4665373, 4665498, 4665793, 4666213, 4666351, 4666834, 4666930, 4667107, 4667536, 4667786, 4668260, 4668645, 4668767, 4668778, 4669511, 4669589, 4670188, 4670412, 4670880, 4670962, 4671042, 4671055, 4671339, 4671486, 4671845, 4672227, 4673280, 4673690, 4673724, 4673825, 4674148, 4674298, 4674731, 4674894, 4676077, 4676174, 4676448, 4676590, 4676898, 4676987, 4677211, 4677312, 4677488, 4678117, 4678241, 4678401, 4678424, 4678532, 4678888, 4678936, 4680000, 4680022, 4680168, 4680280, 4680314, 4681396, 4681557, 4682288, 4682580, 4682892, 4683225, 4683232, 4683392, 4683709, 4683836, 4684696, 4684882, 4684938, 4685172, 4685180, 4686422, 4686458, 4686831, 4686944, 4687076, 4687143, 4687275, 4687304, 4687844, 4687986, 4688125, 4688463, 4688830, 4688868, 4688885, 4689648, 4689921, 4689982, 4690366, 4690523, 4690585, 4690709, 4690763, 4691192, 4691359, 4691586, 4691683, 4692259, 4692475, 4692629, 4692974, 4693087, 4693150, 4693302, 4693439, 4693656, 4694142, 4694155, 4694189, 4694474, 4694497, 4694538, 4694743, 4695079, 4695319, 4695605, 4695692, 4695989, 4696572, 4696665, 4696777, 4696785, 4696932, 4697689, 4699025, 4699485, 4699553, 4699734, 4700407, 4700425, 4701334, 4701389, 4701452, 4702699, 4702722, 4702838, 4702957, 4703161, 4703301, 4703319, 4703522, 4704074, 4704123, 4704256, 4704775, 4704905, 4705129, 4706252, 4706755, 4706844, 4706908, 4706914, 4707474, 4707991, 4708568, 4708585, 4708800, 4708996, 4709050, 4709442, 4709670, 4709730, 4709884, 4709961, 4710497, 4710764, 4711216, 4711338, 4711387, 4711708, 4712188, 4712321, 4712412, 4712947, 4713085, 4713643, 4713766, 4713857, 4713898, 4713987, 4714717, 4714756, 4714791, 4715330, 4715377, 4715573, 4716244, 4716724, 4717138, 4717381, 4717403, 4717925, 4717976, 4719109, 4719135, 4719815, 4719837, 4719851, 4720408, 4720756, 4720902, 4721290, 4722614, 4722686, 4723258, 4724049, 4724422, 4724436, 4724751, 4725387, 4725574, 4725714, 4725830, 4725926, 4726160, 4726489, 4726983, 4727022, 4727416, 4727482, 4727793, 4728335, 4728816, 4728857, 4729430, 4729726, 4730258, 4730379, 4731115, 4731755, 4731856, 4732387, 4732522, 4733278, 4734345, 4734712, 4734840, 4734884, 4735380, 4735483, 4735637, 4736128, 4736303, 4736548, 4736770, 4736936, 4736945, 4737353, 4737371, 4737473, 4737638, 4737660, 4737836, 4737869, 4738190, 4738524, 4738612, 4738715, 4738720, 4738963, 4739738, 4740064, 4740773, 4740955, 4741086, 4741381, 4741467, 4741777, 4742019, 4742315, 4742379, 4742439, 4742878, 4742959, 4743027, 4743109, 4743259, 4743802, 4744260, 4744726, 4744950, 4745165, 4745318, 4745523, 4745530, 4746192, 4746464, 4746683, 4746774, 4747363, 4747870, 4748141, 4748263, 4748498, 4748564, 4748775, 4748876, 4749685, 4749963, 4749980, 4750144, 4751142, 4751481, 4751546, 4751575, 4751694, 4751788, 4752067, 4752090, 4752585, 4753489, 4753777, 4754267, 4754610, 4754916, 4755000, 4755106, 4755899, 4755966, 4756516, 4756609, 4756834, 4756941, 4758164, 4758321, 4758441, 4759476, 4759792, 4760220, 4760621, 4760633, 4760670, 4760840, 4760866, 4760892, 4760976, 4761012, 4761030, 4761059, 4761174, 4761372, 4761380, 4761503, 4762013, 4762701, 4762832, 4763004, 4763098, 4763271, 4763332, 4763524, 4763814, 4764173, 4764418, 4764439, 4764440, 4764912, 4765054, 4765219, 4765252, 4765321, 4765357, 4765485, 4765809, 4766353, 4766431, 4766495, 4766541, 4766693, 4767802, 4768056, 4768289, 4768464, 4768562, 4768797, 4768819, 4769298, 4769605, 4769627, 4769894, 4770091, 4770184, 4770722, 4770965, 4771159, 4772006, 4772499, 4772766, 4774135, 4774163, 4774241, 4775400, 4775445, 4775743, 4775991, 4776301, 4776597, 4777001, 4777131, 4777691, 4777710, 4777811, 4778047, 4778187, 4778193, 4778509, 4779225, 4779318, 4779414, 4780048, 4780083, 4780477, 4780755, 4780789, 4780817, 4781646, 4782227, 4782956, 4782963, 4783449, 4783596, 4783861, 4783984, 4784096, 4784154, 4784216, 4784393, 4784639, 4784714, 4784773, 4784877, 4785336, 4785657, 4785698, 4785827, 4785976, 4786247, 4786602, 4786833, 4787496, 4787514, 4788039, 4788390, 4788554, 4788614, 4788765, 4789093, 4789644, 4791427, 4792008, 4792580, 4793495, 4794113, 4794821, 4795156, 4795401, 4795532, 4796070, 4796361, 4797238, 4797293, 4797382, 4797613, 4797645, 4797986, 4798773, 4798877, 4798926, 4799192, 4799797, 4799916, 4800120, 4800430, 4800459, 4800931, 4801210, 4801327, 4801340, 4801601, 4802474, 4802552, 4802743, 4803899, 4804043, 4804125, 4804536, 4804597, 4804639, 4804671, 4804859, 4805062, 4805220, 4805657, 4805706, 4806273, 4806328, 4806555, 4806771, 4806816, 4806849, 4806924, 4807562, 4807648, 4807875, 4807957, 4808378, 4808662, 4808820, 4809052, 4809131, 4809302, 4809570, 4809635, 4809994, 4810211, 4810368, 4810529, 4810722, 4811228, 4812197, 4812247, 4812816, 4812901, 4813246, 4813370, 4813566, 4813755, 4813962, 4814071, 4814191, 4814815, 4814922, 4815560, 4816161, 4816352, 4816480, 4816500, 4816841, 4817628, 4818563, 4818925, 4819283, 4819675, 4819800, 4820053, 4820888, 4820997, 4821909, 4823062, 4823237, 4823682, 4823712, 4823932, 4823999, 4824044, 4824056, 4824323, 4824824, 4824846, 4824875, 4824904, 4825634, 4825832, 4826024, 4826656, 4827841, 4828032, 4829174, 4829637, 4829679, 4830322, 4830358, 4830556, 4831208, 4831356, 4831461, 4831620, 4831975, 4832787, 4833190, 4833383, 4833445, 4833560, 4833587, 4833668, 4834046, 4834281, 4834725, 4834855, 4835201, 4835844, 4836340, 4836735, 4837981, 4838044, 4838063, 4838127, 4838184, 4838306, 4838661, 4838722, 4838893, 4839015, 4839428, 4839868, 4839978, 4839990, 4840097, 4840404, 4840626, 4841245, 4841302, 4842029, 4842031, 4842313, 4842572, 4842759, 4843728, 4844273, 4844643, 4845355, 4845424, 4846205, 4846575, 4846668, 4846886, 4847196, 4847219, 4847333, 4848183, 4848319, 4848417, 4848558, 4848627, 4848989, 4849211, 4849514, 4850276, 4850366, 4850431, 4850506, 4851044, 4851289, 4851488, 4851508, 4851683, 4852259, 4852802, 4852945, 4852974, 4853186, 4853222, 4853492, 4853994, 4854659, 4854895, 4856455, 4856591, 4857036, 4857331, 4857373, 4857787, 4857927, 4858643, 4859007, 4859293, 4859430, 4859477, 4859494, 4859755, 4859789, 4859828, 4860440, 4860609, 4860776, 4861539, 4861817, 4862125, 4862257, 4862393, 4862491, 4863661, 4863745, 4864345, 4864591, 4864616, 4864785, 4864892, 4865059, 4866389, 4866446, 4866507, 4866532, 4866686, 4867254, 4867318, 4867462, 4867744, 4867915, 4868399, 4868829, 4869314, 4869350, 4869564, 4869626, 4869719, 4869724, 4870240, 4870715, 4870956, 4871360, 4871926, 4872423, 4872778, 4872947, 4873006, 4873380, 4873578, 4873792, 4874447, 4874728, 4874937, 4875377, 4875479, 4875508, 4875586, 4875838, 4875846, 4875860, 4876228, 4876280, 4876543, 4876940, 4877478, 4877706, 4877871, 4877892, 4877932, 4878046, 4878173, 4878427, 4878471, 4878656, 4880023, 4880620, 4880898, 4881475, 4882508, 4882998, 4883015, 4883773, 4883903, 4884123, 4884579, 4885343, 4885453, 4885691, 4885855, 4885867, 4886048, 4886137, 4886143, 4886246, 4886872, 4886962, 4887519, 4887546, 4887641, 4887668, 4887831, 4887886, 4888780, 4889119, 4889358, 4889591, 4890375, 4890409, 4890934, 4890955, 4891095, 4891202, 4891723, 4891871, 4892315, 4892405, 4892609, 4892635, 4893230, 4893716, 4893864, 4894151, 4894219, 4894412, 4894518, 4894703, 4894931, 4894986, 4895232, 4895512, 4895585, 4895687, 4895744, 4896044, 4896234, 4897113, 4897483, 4897753, 4897792, 4897987, 4898395, 4898421, 4898564, 4899033, 4899082, 4899575, 4901142, 4901546, 4902011, 4902055, 4902207, 4902261, 4902366, 4902512, 4902791, 4903014, 4903871, 4903910, 4904359, 4904676, 4905515, 4905940, 4906418, 4906492, 4906656, 4906672, 4906691, 4906783, 4906889, 4907393, 4907841, 4908151, 4908406, 4908674, 4909077, 4909100, 4909113, 4909208, 4909356, 4909651, 4909833, 4910387, 4910627, 4910877, 4910989, 4911369, 4911403, 4912046, 4912075, 4912379, 4912405, 4912440, 4913631, 4913749, 4913864, 4913958, 4914636, 4914817, 4915594, 4915874, 4916140, 4916267, 4916745, 4917085, 4917542, 4917688, 4918013, 4918515, 4918810, 4919065, 4919436, 4919612, 4920224, 4920357, 4920459, 4920645, 4920767, 4920947, 4921089, 4921248, 4921353, 4921530, 4922098, 4922524, 4922788, 4923177, 4923470, 4923746, 4923876, 4924324, 4924597, 4925014, 4925358, 4925467, 4925580, 4925853, 4926006, 4926380, 4926526, 4926740, 4926946, 4927056, 4928326, 4928452, 4928733, 4929147, 4930185, 4930421, 4930611, 4930940, 4930984, 4931609, 4931906, 4932119, 4932288, 4932657, 4932932, 4932961, 4933276, 4933408, 4933495, 4933523, 4934461, 4934679, 4934865, 4934898, 4935259, 4935342, 4935487, 4935837, 4935997, 4936126, 4936190, 4936332, 4936606, 4936788, 4936917, 4937196, 4937321, 4937584, 4937817, 4937828, 4938199, 4939139, 4939736, 4939745, 4939797, 4940031, 4940712, 4941059, 4941077, 4941511, 4941534, 4942421, 4943070, 4944783, 4945054, 4945137, 4945201, 4945224, 4945238, 4945357, 4945406, 4946232, 4946512, 4946687, 4946845, 4947241, 4947378, 4947438, 4947716, 4947945, 4948377, 4949249, 4949877, 4950325, 4950383, 4951265, 4951569, 4951581, 4951729, 4951877, 4952164, 4952349, 4952622, 4952674, 4952835, 4953012, 4953771, 4953946, 4954261, 4954951, 4955211, 4955700, 4955781, 4956235, 4956263, 4956272, 4956416, 4957478, 4957768, 4958019, 4958337, 4958364, 4958977, 4959446, 4959843, 4960006, 4960059, 4960432, 4961018, 4961342, 4961378, 4961721, 4962091, 4962192, 4962654, 4962819, 4963020, 4963249, 4963558, 4963639, 4963795, 4964520, 4964603, 4964626, 4965396, 4965803, 4966099, 4966201, 4966711, 4966950, 4967205, 4967325, 4967623, 4968089, 4968495, 4968915, 4969124, 4970897, 4971044, 4971289, 4971306, 4971916, 4972027, 4972172, 4972820, 4973236, 4973484, 4973906, 4974057, 4974155, 4974796, 4974814, 4975096, 4975282, 4975319, 4975684, 4975692, 4975795, 4976467, 4976884, 4976907, 4976976, 4977112, 4977386, 4977719, 4977854, 4978534, 4979143, 4979151, 4979246, 4979287, 4979973, 4980941, 4981054, 4981468, 4981566, 4981734, 4981863, 4982324, 4982428, 4982435, 4982806, 4983323, 4983699, 4983736, 4983933, 4984014, 4984777, 4985012, 4985273, 4986241, 4986583, 4986614, 4986798, 4988111, 4988134, 4988189, 4988436, 4988445, 4988895, 4989058, 4989235, 4989861, 4989876, 4989953, 4990035, 4990080, 4990290, 4990661, 4990824, 4991235, 4991966, 4992012, 4992821, 4993645, 4993914, 4994212, 4994285, 4995546, 4996216, 4996375, 4996605, 4996640, 4996989, 4997213, 4997842, 4997890, 4997959, 4998544, 4998794, 4999429, 4999495, 4999996, 5000780, 5001341, 5001801, 5001875, 5002268, 5002922, 5003396, 5003923, 5004240, 5004575, 5004991, 5005375, 5005729, 5005795, 5006101, 5006202, 5006712, 5006999, 5007308, 5007331, 5007603, 5007719, 5007775, 5008335, 5008679, 5008960, 5009025, 5009048, 5009076, 5009102, 5009260, 5009287, 5010000, 5010272, 5011269, 5011440, 5011557, 5012478, 5012706, 5013170, 5013756, 5013902, 5014113, 5014432, 5014476, 5014816, 5014865, 5014993, 5015268, 5015438, 5015673, 5015879, 5015945, 5016070, 5016266, 5016383, 5016593, 5016659, 5016909, 5016917, 5017083, 5017120, 5017137, 5017143, 5017441, 5017539, 5017645, 5017755, 5017891, 5018176, 5019171, 5019916, 5020145, 5020688, 5020804, 5022479, 5023708, 5023786, 5024058, 5024123, 5024331, 5024690, 5024825, 5025024, 5025114, 5025906, 5026137, 5026459, 5026835, 5027111, 5027917, 5028034, 5028392, 5028624, 5028728, 5029264, 5029426, 5029455, 5029621, 5029723, 5029777, 5030786, 5031202, 5031517, 5031556, 5032046, 5033084, 5033879, 5033900, 5033997, 5034485, 5034518, 5035182, 5035276, 5035366, 5035371, 5035624, 5035660, 5035763, 5035874, 5036479, 5036573, 5036819, 5037023, 5037425, 5037792, 5037821, 5038000, 5038168, 5038331, 5038362, 5038515, 5038537, 5038940, 5039361, 5039546, 5039886, 5040195, 5040213, 5040418, 5040440, 5040628, 5040811, 5041007, 5041083, 5041553, 5041880, 5041986, 5041995, 5042015, 5042079, 5042148, 5042536, 5042640, 5042812, 5042823, 5042989, 5043017, 5043479, 5043648, 5043722, 5044175, 5044657, 5044907, 5045077, 5045542, 5046027, 5046608, 5046888, 5047034, 5047067, 5047305, 5047523, 5047619, 5048065, 5048284, 5048348, 5048715, 5049642, 5049787, 5050080, 5050140, 5050267, 5050385, 5050970, 5052335, 5052590, 5053613, 5053973, 5054109, 5054191, 5054378, 5054851, 5055481, 5055702, 5055764, 5056088, 5056176, 5056319, 5056324, 5056375, 5056830, 5057001, 5057024, 5057046, 5057302, 5057388, 5057680, 5058014, 5059157, 5059408, 5060120, 5060246, 5060260, 5060382, 5060734, 5060863, 5060950, 5061003, 5061067, 5061149, 5061157, 5062524, 5062623, 5063177, 5063537, 5063752, 5064051, 5064132, 5064161, 5065649, 5065983, 5066181, 5066229, 5066380, 5066425, 5067745, 5067846, 5068475, 5068945, 5069060, 5069114, 5069147, 5069200, 5070401, 5070438, 5071134, 5071694, 5071850, 5073086, 5073251, 5073288, 5073397, 5073954, 5074056, 5074267, 5074700, 5074774, 5075069, 5075482, 5075543, 5075690, 5075719, 5076060, 5076114, 5076200, 5076343, 5076609, 5077154, 5077319, 5077393, 5078316, 5078398, 5079136, 5080369, 5080563, 5081136, 5081410, 5082690, 5082775, 5083189, 5084046, 5084440, 5084504, 5084994, 5085613, 5086937, 5087027, 5087039, 5087180, 5087378, 5087716, 5087837, 5088105, 5088306, 5088330, 5088683, 5089051, 5089282, 5089640, 5089942, 5090659, 5091233, 5093344, 5093705, 5094078, 5094165, 5095072, 5095700, 5095846, 5095916, 5096421, 5096551, 5097008, 5097146, 5097300, 5097580, 5097840, 5098046, 5098343, 5098867, 5099128, 5099888, 5099900, 5100152, 5100455, 5101113, 5101214, 5101335, 5101454, 5101461, 5101849, 5101975, 5102543, 5102905, 5102927, 5103057, 5103098, 5103178, 5103189, 5103641, 5103862, 5104269, 5105115, 5105333, 5105412, 5105468, 5106026, 5106089, 5106149, 5106717, 5106756, 5106996, 5107460, 5107650, 5107802, 5107997, 5108211, 5109148, 5109513, 5109714, 5110460, 5110629, 5110864, 5110879, 5110936, 5112165, 5112392, 5113014, 5113264, 5113336, 5113657, 5113983, 5114171, 5114359, 5114632, 5115000, 5115482, 5115603, 5117360, 5118010, 5118083, 5118099, 5118188, 5118423, 5118518, 5118540, 5118790, 5119113, 5119158, 5119407, 5119567, 5119993, 5120153, 5120306, 5120385, 5120488, 5121395, 5121678, 5122094, 5122169, 5122262, 5122448, 5123115, 5124259, 5124378, 5124493, 5124532, 5125935, 5126338, 5126597, 5126967, 5127114, 5127663, 5127732, 5128215, 5128403, 5128556, 5128621, 5128777, 5129089, 5129090, 5129276, 5129283, 5129371, 5129693, 5130120, 5130856, 5131198, 5131340, 5131568, 5131988, 5132016, 5132205, 5132310, 5132850, 5132895, 5133058, 5133564, 5133810, 5134002, 5134088, 5134500, 5134684, 5135152, 5135279, 5135490, 5135730, 5136262, 5137044, 5137080, 5137586, 5137970, 5138241, 5138704, 5139001, 5139173, 5139492, 5139754, 5139783, 5140310, 5140623, 5140847, 5141653, 5141978, 5143615, 5143792, 5143816, 5144055, 5144619, 5144874, 5145028, 5145330, 5145443, 5145547, 5145736, 5145933, 5146058, 5146244, 5146449, 5146953, 5147336, 5147369, 5148337, 5148379, 5148680, 5149027, 5149053, 5149367, 5149662, 5149798, 5149900, 5150952, 5151389, 5151631, 5151820, 5151969, 5152080, 5152488, 5152801, 5153301, 5153640, 5154228, 5154482, 5154854, 5155516, 5155799, 5156645, 5156844, 5156986, 5157021, 5157383, 5157668, 5157831, 5157862, 5157972, 5158165, 5158248, 5158693, 5158845, 5159175, 5159313, 5159358, 5159411, 5159467, 5159649, 5159777, 5159961, 5160270, 5161381, 5161649, 5162521, 5162732, 5162799, 5162842, 5163117, 5163390, 5163438, 5163614, 5163673, 5163945, 5164196, 5164726, 5164778, 5164929, 5165042, 5165318, 5165902, 5166887, 5166933, 5167753, 5168123, 5168502, 5168667, 5168738, 5169641, 5170112, 5170185, 5171162, 5171466, 5171680, 5171826, 5172478, 5172580, 5173964, 5175092, 5175144, 5175294, 5175438, 5175452, 5175507, 5175576, 5175945, 5176519, 5176694, 5177246, 5177613, 5178823, 5179234, 5179781, 5179838, 5179875, 5180089, 5180951, 5181171, 5181451, 5182066, 5182446, 5182548, 5182704, 5182864, 5182997, 5183635, 5183707, 5183890, 5183985, 5184103, 5184383, 5184850, 5184980, 5184991, 5185569, 5186050, 5186160, 5186202, 5186220, 5186403, 5186649, 5186706, 5186839, 5187263, 5187854, 5187899, 5188309, 5188380, 5188578, 5188993, 5189061, 5189697, 5189872, 5189947, 5190195, 5190343, 5191224, 5191252, 5191304, 5192282, 5192417, 5193140, 5193153, 5193323, 5193625, 5193648, 5194509, 5194805, 5195174, 5195816, 5196018, 5196733, 5196770, 5196802, 5197530, 5197988, 5198481, 5199194, 5199498, 5199515, 5199520, 5200117, 5200156, 5200268, 5200510, 5200974, 5201501, 5201623, 5201972, 5202089, 5202104, 5202157, 5202495, 5203264, 5203467, 5203556, 5203805, 5203910, 5203925, 5204044, 5204063, 5204139, 5204203, 5204255, 5204683, 5204699, 5204774, 5205013, 5205194, 5205244, 5205404, 5205775, 5206565, 5206811, 5207301, 5207346, 5207903, 5208102, 5208430, 5208914, 5209077, 5209122, 5209589, 5209849, 5209938, 5210183, 5210444, 5210967, 5211152, 5211243, 5211322, 5211369, 5211489, 5211621, 5211698, 5211983, 5212150, 5212396, 5212418, 5212427, 5212761, 5213259, 5214025, 5214061, 5214742, 5214880, 5214973, 5215182, 5215693, 5215858, 5215920, 5215979, 5216290, 5216514, 5216573, 5217344, 5218106, 5218194, 5219266, 5219524, 5219909, 5221232, 5221408, 5221675, 5222155, 5222354, 5222659, 5222788, 5222935, 5223373, 5223386, 5223775, 5223861, 5223992, 5224249, 5224545, 5224841, 5224885, 5225202, 5225403, 5225665, 5226231, 5226432, 5227028, 5227044, 5227290, 5228109, 5228163, 5228378, 5229038, 5229186, 5229258, 5230097, 5230861, 5230883, 5231060, 5232146, 5232426, 5232478, 5232884, 5233964, 5234023, 5234987, 5235172, 5235843, 5236167, 5236253, 5236271, 5236284, 5236348, 5236677, 5237412, 5237584, 5237817, 5238249, 5238265, 5238352, 5238639, 5239278, 5239377, 5239385, 5239819, 5240008, 5240031, 5240478, 5241113, 5241169, 5241705, 5242159, 5242244, 5242515, 5242596, 5242667, 5243070, 5243098, 5243284, 5244200, 5244516, 5244617, 5244889, 5244912, 5244994, 5245592, 5245742, 5245767, 5245817, 5245931, 5246034, 5246042, 5246845, 5247039, 5247071, 5247424, 5247460, 5248105, 5248700, 5249043, 5249428, 5249435, 5249545, 5249885, 5249989, 5250190, 5250399, 5251666, 5252025, 5252048, 5252196, 5252518, 5252817, 5253023, 5253068, 5253113, 5253476, 5254067, 5254078, 5254116, 5254735, 5254763, 5255140, 5256793, 5257138, 5257264, 5257633, 5258533, 5258570, 5259662, 5259837, 5260335, 5260705, 5260727, 5261311, 5261378, 5261647, 5261997, 5262072, 5262306, 5262443, 5262904, 5263088, 5263132, 5263265, 5263926, 5264449, 5265320, 5265707, 5266007, 5266293, 5266365, 5266566, 5267033, 5267575, 5267909, 5268067, 5268646, 5268756, 5268881, 5269146, 5269152, 5269243, 5269572, 5269706, 5269827, 5269884, 5270248, 5270800, 5270979, 5272027, 5272156, 5272285, 5272493, 5272815, 5273093, 5273364, 5273570, 5273783, 5273826, 5274126, 5274190, 5274239, 5274271, 5274292, 5274325, 5274850, 5275064, 5275522, 5275605, 5275714, 5275885, 5276095, 5276434, 5277719, 5277724, 5278174, 5278181, 5278578, 5279349, 5279430, 5279658, 5280680, 5280855, 5281711, 5281835, 5282183, 5282750, 5282885, 5282911, 5283203, 5283211, 5283394, 5283860, 5284101, 5284490, 5284591, 5285122, 5285229, 5285740, 5286135, 5286268, 5286389, 5286614, 5286765, 5286851, 5287512, 5287577, 5287693, 5287800, 5287836, 5287869, 5287881, 5288240, 5288325, 5288422, 5288552, 5288886, 5289069, 5289209, 5289724, 5290139, 5290267, 5290488, 5290529, 5290819, 5291185, 5291465, 5292295, 5292356, 5293099, 5293681, 5293789, 5293856, 5294548, 5294782, 5294798, 5294879, 5295292, 5295685, 5295944, 5296270, 5296522, 5296574, 5297930, 5298961, 5299340, 5299915, 5299951, 5300197, 5300231, 5300391, 5300898, 5301005, 5301018, 5301802, 5301864, 5301922, 5302479, 5302514, 5302797, 5303491, 5303786, 5304045, 5304678, 5304760, 5305471, 5305549, 5305582, 5305628, 5305725, 5305803, 5305994, 5306246, 5306321, 5306553, 5307178, 5307814, 5307862, 5308207, 5308276, 5308299, 5308559, 5308874, 5309119, 5309193, 5309563, 5309759, 5310400, 5311154, 5312054, 5313247, 5313476, 5313696, 5313882, 5313952, 5314646, 5314709, 5314791, 5314897, 5314979, 5315140, 5315290, 5315745, 5315781, 5315982, 5316177, 5316194, 5316551, 5316655, 5316905, 5317095, 5317237, 5317243, 5317455, 5317528, 5317604, 5317999, 5318001, 5318024, 5318516, 5318549, 5318754, 5318912, 5318977, 5319303, 5319525, 5319843, 5320116, 5320254, 5320624, 5320800, 5321044, 5321184, 5321330, 5321415, 5322027, 5322071, 5322311, 5322355, 5322583, 5322721, 5323691, 5323710, 5323878, 5323985, 5324126, 5324524, 5324743, 5325176, 5325444, 5325480, 5326029, 5326517, 5326925, 5327634, 5328461, 5328718, 5328849, 5329061, 5329151, 5329252, 5329287, 5329406, 5329817, 5330186, 5330565, 5330680, 5331061, 5331613, 5331645, 5331790, 5332096, 5332110, 5332282, 5333722, 5333916, 5334251, 5334369, 5335136, 5335197, 5336765, 5337055, 5337450, 5337462, 5337512, 5337874, 5337897, 5338271, 5338917, 5339097, 5339272, 5339362, 5339953, 5340161, 5340868, 5342213, 5342222, 5342725, 5343401, 5343608, 5344137, 5344196, 5344908, 5344947, 5345340, 5345429, 5345717, 5345964, 5345988, 5346056, 5346306, 5346824, 5346852, 5347231, 5347335, 5347372, 5348498, 5349049, 5350326, 5350561, 5350695, 5350820, 5350888, 5351004, 5351668, 5351764, 5351873, 5351980, 5352003, 5352813, 5353777, 5353925, 5353954, 5353983, 5354184, 5354234, 5354547, 5354887, 5355013, 5355130, 5355588, 5355807, 5355918, 5356549, 5357216, 5357463, 5357574, 5357692, 5357841, 5358406, 5358477, 5359262, 5359461, 5359901, 5359919, 5359924, 5359987, 5360220, 5360948, 5361214, 5361335, 5361651, 5361727, 5362244, 5362386, 5362807, 5362854, 5363422, 5364038, 5364418, 5364427, 5365224, 5365293, 5366121, 5366937, 5366979, 5367109, 5367390, 5367525, 5367650, 5368306, 5369204, 5369472, 5369558, 5370242, 5370402, 5371036, 5371069, 5371112, 5371263, 5371331, 5371752, 5372158, 5372247, 5372407, 5372589, 5373518, 5373950, 5374144, 5375065, 5376978, 5377440, 5377521, 5377635, 5378730, 5379248, 5379495, 5379652, 5379836, 5379937, 5379988, 5380767, 5381042, 5381276, 5381408, 5381431, 5381874, 5382021, 5382065, 5382142, 5382685, 5382788, 5382928, 5383097, 5383185, 5383626, 5383876, 5385616, 5385741, 5386006, 5386158, 5386664, 5386696, 5386816, 5387415, 5387595, 5387610, 5387824, 5388156, 5388342, 5388452, 5388888, 5389388, 5389440, 5389565, 5389598, 5389776, 5389906, 5390022, 5390074, 5390752, 5390876, 5390905, 5391114, 5391269, 5391440, 5392264, 5392840, 5392932, 5392954, 5393601, 5394012, 5394197, 5394372, 5394391, 5394454, 5395277, 5395452, 5395525, 5395749, 5395798, 5395997, 5396641, 5396928, 5397592, 5397809, 5397908, 5398270, 5398472, 5398955, 5399118, 5399166, 5399385, 5399893, 5400370, 5400459, 5400600, 5400681, 5401182, 5402065, 5402155, 5403825, 5404216, 5404298, 5404885, 5405095, 5405119, 5405175, 5405264, 5405288, 5405490, 5405580, 5405649, 5406503, 5407289, 5407700, 5407819, 5408452, 5408554, 5408673, 5408820, 5408936, 5409533, 5409826, 5411106, 5411701, 5412030, 5412727, 5412946, 5413669, 5414401, 5414446, 5414815, 5415033, 5415155, 5415685, 5416360, 5416536, 5417320, 5417466, 5417890, 5417959, 5418029, 5418119, 5419157, 5419392, 5419763, 5420782, 5421142, 5421271, 5422042, 5422473, 5422585, 5423101, 5423403, 5423509, 5423649, 5423698, 5423805, 5424184, 5424226, 5425036, 5425291, 5425449, 5425899, 5426001, 5426364, 5426427, 5426912, 5426930, 5426977, 5427110, 5427270, 5427558, 5427605, 5428102, 5428287, 5429068, 5429499, 5429534, 5430237, 5430489, 5430785, 5430805, 5431590, 5432373, 5432449, 5433253, 5433310, 5433469, 5433481, 5434258, 5436735, 5437039, 5438035, 5438072, 5438394, 5438464, 5438514, 5438610, 5439282, 5439903, 5440045, 5440515, 5440537, 5440634, 5440953, 5440966, 5441060, 5441484, 5441680, 5442251, 5442322, 5442345, 5442910, 5444041, 5444857, 5444870, 5445629, 5445733, 5445958, 5446049, 5446218, 5446240, 5446764, 5446808, 5448125, 5448148, 5448830, 5449184, 5449278, 5449341, 5449661, 5451118, 5451166, 5451368, 5451394, 5451699, 5451722, 5452066, 5452716, 5452851, 5453131, 5453557, 5453761, 5453890, 5454057, 5454310, 5454668, 5454895, 5455037, 5455298, 5455640, 5455812, 5456455, 5456785, 5456892, 5456983, 5457074, 5457112, 5457314, 5457421, 5457537, 5457775, 5458041, 5458407, 5458705, 5458753, 5458857, 5459025, 5459054, 5459188, 5459527, 5459658, 5460320, 5460867, 5460923, 5461382, 5462015, 5462020, 5463289, 5463745, 5463965, 5464014, 5464138, 5464193, 5464535, 5464932, 5465208, 5465454, 5465679, 5466223, 5466230, 5466815, 5466820, 5467431, 5467979, 5469899, 5470659, 5471096, 5471435, 5471618, 5472025, 5472790, 5472835, 5473870, 5474121, 5474276, 5474327, 5474585, 5475267, 5476209, 5476603, 5476634, 5476724, 5476883, 5476971, 5477193, 5477220, 5477243, 5477279, 5477397, 5477535, 5477633, 5477741, 5477910, 5477961, 5479018, 5479066, 5479662, 5479695, 5479770, 5479888, 5479958, 5479969, 5480059, 5480113, 5480534, 5482377, 5482394, 5483265, 5483298, 5483338, 5483393, 5484036, 5484395, 5484515, 5485396, 5485680, 5486137, 5486196, 5486726, 5486767, 5486947, 5486962, 5487111, 5487383, 5487445, 5487612, 5487743, 5487779, 5487873, 5488042, 5488149, 5488353, 5488756, 5489014, 5489220, 5489948, 5490183, 5490750, 5490841, 5491014, 5491288, 5491397, 5491442, 5491467, 5491580, 5492439, 5492628, 5492644, 5493230, 5493285, 5493367, 5493475, 5494099, 5494151, 5494553, 5495232, 5495447, 5495512, 5495915, 5496211, 5496514, 5496607, 5497113, 5497317, 5497410, 5497718, 5497865, 5498256, 5498470, 5498971, 5499016, 5500641, 5500702, 5501338, 5501558, 5501639, 5501868, 5502054, 5502423, 5502828, 5503250, 5503335, 5504026, 5504327, 5504366, 5504414, 5504506, 5504585, 5504652, 5505415, 5505586, 5505949, 5506719, 5507031, 5507288, 5508635, 5509039, 5509576, 5509704, 5509851, 5509936, 5510633, 5511273, 5511739, 5511952, 5511975, 5512159, 5512433, 5512551, 5512678, 5512724, 5513917, 5514302, 5514504, 5515726, 5515914, 5515931, 5516090, 5516157, 5516429, 5517071, 5517144, 5517487, 5517532, 5518009, 5518508, 5518562, 5518745, 5519639, 5520222, 5520281, 5520418, 5520680, 5520811, 5520890, 5521316, 5521441, 5521789, 5522319, 5523080, 5524345, 5525309, 5525372, 5525391, 5525534, 5525938, 5526027, 5526446, 5526843, 5526981, 5527116, 5527121, 5527198, 5527619, 5528033, 5528253, 5528474, 5528519, 5528944, 5529209, 5529787, 5529825, 5530072, 5530139, 5530479, 5530781, 5531058, 5531939, 5531940, 5532041, 5533137, 5533143, 5533293, 5533505, 5533809, 5534092, 5534117, 5534135, 5534532, 5534864, 5535524, 5535685, 5535779, 5535956, 5536812, 5537075, 5537274, 5537343, 5537570, 5537912, 5538050, 5538345, 5539822, 5540181, 5540214, 5540356, 5540679, 5541027, 5541092, 5541716, 5541843, 5541922, 5542056, 5542072, 5542091, 5542330, 5542420, 5542547, 5542982, 5543107, 5543216, 5543249, 5543360, 5544807, 5545672, 5546406, 5546669, 5546817, 5547399, 5547519, 5547552, 5547917, 5548055, 5548116, 5548248, 5549251, 5549322, 5549381, 5550125, 5550639, 5550841, 5551220, 5551517, 5551976, 5552504, 5552617, 5553326, 5553704, 5554566, 5555089, 5556323, 5556488, 5556610, 5556632, 5557181, 5557231, 5557503, 5558350, 5559935, 5560163, 5561134, 5561271, 5561413, 5562646, 5562693, 5562791, 5562836, 5564017, 5564402, 5564496, 5564921, 5565058, 5565498, 5565876, 5566504, 5566867, 5567096, 5567221, 5567750, 5567989, 5568224, 5568430, 5568789, 5568914, 5568962, 5569059, 5569181, 5569356, 5569952, 5570349, 5571232, 5571318, 5573069, 5573579, 5573854, 5574319, 5574989, 5574990, 5575008, 5575251, 5575805, 5575853, 5575910, 5576214, 5576483, 5576542, 5576993, 5577118, 5577394, 5577443, 5577595, 5577982, 5578507, 5578843, 5579131, 5579364, 5579834, 5580185, 5580314, 5580655, 5580678, 5580738, 5582544, 5582556, 5582633, 5582866, 5583157, 5583693, 5583756, 5584231, 5584317, 5584705, 5585040, 5585191, 5585230, 5585294, 5585460, 5586103, 5586205, 5586847, 5586944, 5587468, 5588463, 5590133, 5590198, 5590619, 5591211, 5591529, 5591648, 5591683, 5592040, 5592172, 5592268, 5592446, 5592532, 5592802, 5593195, 5593274, 5593453, 5593783, 5593889, 5593959, 5594779, 5594928, 5595125, 5595282, 5595409, 5596175, 5596264, 5597611, 5597667, 5597810, 5597899, 5597939, 5598113, 5598363, 5598448, 5598833, 5598924, 5599238, 5599412, 5599553, 5599767, 5601365, 5601370, 5601477, 5601539, 5602148, 5602352, 5603443, 5603745, 5604187, 5605410, 5605589, 5605952, 5606294, 5606419, 5606510, 5607034, 5607772, 5608944, 5609235, 5609775, 5610254, 5610305, 5610429, 5610646, 5610996, 5611290, 5611341, 5611607, 5612230, 5612294, 5612355, 5612798, 5612945, 5613131, 5613195, 5613635, 5613867, 5613912, 5614189, 5614413, 5614659, 5614796, 5614980, 5615096, 5615199, 5616086, 5616411, 5616455, 5617596, 5617738, 5617966, 5618425, 5618461, 5618740, 5618898, 5619054, 5619287, 5619505, 5619950, 5620134, 5620205, 5620240, 5620376, 5621176, 5621545, 5623181, 5623578, 5623590, 5623919, 5623924, 5623960, 5624248, 5624660, 5625184, 5625846, 5626235, 5626404, 5627062, 5627490, 5627976, 5628195, 5628351, 5628985, 5629172, 5629268, 5629561, 5629608, 5629673, 5629704, 5630006, 5630309, 5630739, 5630816, 5632203, 5632234, 5632312, 5632769, 5633107, 5633500, 5633806, 5634159, 5634194, 5634470, 5634564, 5634992, 5635396, 5637814, 5637935, 5638067, 5638207, 5638371, 5638813, 5638979, 5639489, 5639759, 5639884, 5640203, 5640290, 5640394, 5641058, 5641159, 5641373, 5641854, 5642229, 5642262, 5642461, 5642476, 5642870, 5642898, 5643102, 5643238, 5643767, 5643844, 5645720, 5645847, 5645895, 5646387, 5647471, 5647707, 5647826, 5647855, 5647985, 5648047, 5648336, 5648768, 5648794, 5648976, 5649034, 5650076, 5650164, 5650703, 5650931, 5650962, 5651675, 5652057, 5652098, 5652103, 5652266, 5652497, 5652560, 5652715, 5653588, 5653611, 5653678, 5654270, 5655073, 5655193, 5655237, 5655300, 5655313, 5655572, 5655604, 5655932, 5656169, 5658770, 5659439, 5659930, 5660069, 5660433, 5660738, 5660992, 5661075, 5661941, 5663170, 5663340, 5663869, 5663881, 5663996, 5664250, 5664262, 5665005, 5665424, 5666481, 5666519, 5666659, 5666956, 5667246, 5667674, 5668037, 5668806, 5668868, 5669437, 5669464, 5669547, 5670346, 5670435, 5670627, 5671014, 5671124, 5671805, 5672297, 5672617, 5672732, 5672834, 5672906, 5673005, 5673390, 5673510, 5673608, 5674083, 5674260, 5674382, 5674412, 5674584, 5674703, 5674817, 5675011, 5675261, 5676420, 5676496, 5676531, 5676586, 5676838, 5677085, 5677197, 5677317, 5678106, 5678537, 5678861, 5679227, 5679847, 5680241, 5680268, 5680576, 5682078, 5682283, 5682523, 5683604, 5683665, 5683954, 5684852, 5685194, 5685244, 5685537, 5685719, 5685984, 5686129, 5686516, 5686959, 5687148, 5687154, 5687545, 5688102, 5688349, 5688357, 5688872, 5688880, 5688947, 5689122, 5689356, 5689380, 5690101, 5690138, 5690251, 5690288, 5690345, 5690657, 5690665, 5690741, 5690954, 5691849, 5692457, 5692689, 5693033, 5694245, 5694388, 5694968, 5695061, 5696902, 5697039, 5697230, 5697241, 5697475, 5698044, 5698676, 5698982, 5699161, 5699249, 5699513, 5700933, 5701217, 5702136, 5702476, 5702615, 5702849, 5702938, 5703179, 5703566, 5704191, 5705016, 5705142, 5705167, 5705422, 5705587, 5705623, 5706096, 5706107, 5706183, 5706221, 5706409, 5707582, 5708029, 5708434, 5708827, 5708961, 5709067, 5709299, 5709414, 5709506, 5709979, 5710396, 5710906, 5712324, 5712581, 5712640, 5712885, 5713127, 5713139, 5713242, 5713607, 5714062, 5714073, 5714138, 5714175, 5714288, 5714884, 5715077, 5716066, 5717182, 5717261, 5717450, 5717915, 5718103, 5718307, 5718909, 5718980, 5719081, 5719106, 5719112, 5719433, 5719787, 5720296, 5720682, 5720892, 5721113, 5721229, 5721792, 5721975, 5722314, 5722386, 5722515, 5722588, 5722719, 5722918, 5723917, 5724200, 5725143, 5726763, 5726881, 5727460, 5728140, 5728184, 5728242, 5728676, 5729387, 5729393, 5729640, 5729806, 5730227, 5730630, 5730779, 5730917, 5731183, 5731298, 5731605, 5731714, 5731747, 5731868, 5731978, 5732789, 5732973, 5733100, 5733229, 5733328, 5733363, 5733461, 5733919, 5734089, 5734254, 5735105, 5735648, 5735722, 5735819, 5735982, 5736256, 5736642, 5737008, 5737381, 5737591, 5737730, 5737892, 5738052, 5738200, 5738258, 5738337, 5738484, 5738492, 5738761, 5738930, 5739066, 5739285, 5739452, 5739896, 5740527, 5740584, 5741116, 5741121, 5741248, 5741353, 5741675, 5742413, 5742587, 5742814, 5742963, 5743097, 5743106, 5743724, 5743940, 5743992, 5744574, 5744671, 5744684, 5744934, 5744990, 5745119, 5745237, 5745467, 5745884, 5746356, 5746499, 5746952, 5747496, 5747595, 5747852, 5748241, 5748389, 5748507, 5748631, 5748765, 5748900, 5748945, 5749019, 5749977, 5750000, 5750280, 5750543, 5750918, 5751150, 5751570, 5751725, 5752840, 5752976, 5753506, 5753559, 5753780, 5753920, 5754122, 5754229, 5754620, 5754849, 5754919, 5755230, 5755446, 5755548, 5755608, 5755958, 5756033, 5756354, 5756847, 5757518, 5759420, 5759957, 5760042, 5760276, 5760462, 5760601, 5761203, 5761312, 5761713, 5761846, 5762389, 5762599, 5763186, 5763195, 5763269, 5763439, 5764354, 5764587, 5764972, 5765110, 5765989, 5766805, 5767235, 5767256, 5767263, 5767421, 5767457, 5768511, 5769287, 5769518, 5769553, 5770041, 5770113, 5770499, 5771378, 5771576, 5771647, 5772933, 5772965, 5773558, 5773714, 5773773, 5773990, 5774347, 5774350, 5774386, 5774520, 5774810, 5774953, 5775388, 5775867, 5776061, 5776333, 5776790, 5776844, 5776880, 5777016, 5778149, 5778495, 5778709, 5778772, 5778881, 5779073, 5779138, 5780204, 5780569, 5780812, 5781434, 5782504, 5782707, 5783092, 5784054, 5784137, 5784164, 5784441, 5784553, 5785353, 5785881, 5785979, 5786394, 5786479, 5787181, 5787214, 5787432, 5787766, 5787784, 5788350, 5788537, 5788746, 5788810, 5789538, 5790487, 5790507, 5790561, 5791205, 5791917, 5792149, 5792318, 5792624, 5792756, 5792951, 5793202, 5793215, 5793288, 5793489, 5793706, 5793839, 5793925, 5794377, 5794648, 5795000, 5795244, 5795416, 5795596, 5795854, 5795927, 5796186, 5796245, 5796453, 5797639, 5797934, 5798143, 5798382, 5798584, 5798703, 5798891, 5799356, 5799363, 5799407, 5799432, 5799727, 5799865, 5799987, 5800491, 5801193, 5801604, 5801621, 5801759, 5801794, 5801818, 5801961, 5802038, 5802484, 5803117, 5803554, 5803936, 5804412, 5804553, 5805078, 5805198, 5805210, 5805735, 5806341, 5806648, 5806797, 5806819, 5808069, 5808291, 5808465, 5808918, 5809049, 5809376, 5809685, 5810136, 5810208, 5810425, 5810483, 5810919, 5811507, 5811647, 5811936, 5813107, 5813110, 5813352, 5814022, 5814177, 5814667, 5814918, 5815114, 5815672, 5816477, 5816553, 5816947, 5817126, 5817458, 5817630, 5817991, 5818055, 5818121, 5818414, 5819062, 5819489, 5820272, 5820642, 5820876, 5821337, 5822670, 5822730, 5822983, 5822999, 5823121, 5824181, 5824250, 5824499, 5824534, 5824651, 5824987, 5825005, 5825212, 5825452, 5825974, 5826126, 5826189, 5826205, 5827196, 5827357, 5828148, 5828692, 5828731, 5828877, 5829184, 5829330, 5829496, 5829648, 5829683, 5829745, 5829933, 5829965, 5830090, 5830431, 5831063, 5831323, 5831377, 5831508, 5831921, 5832212, 5832355, 5832390, 5833131, 5833200, 5833504, 5833867, 5834284, 5834436, 5834751, 5834847, 5834935, 5835301, 5835942, 5836119, 5836633, 5837000, 5837861, 5837966, 5839137, 5839151, 5839238, 5839260, 5839817, 5840135, 5840206, 5840815, 5840843, 5841266, 5841685, 5841694, 5842353, 5842568, 5843279, 5843818, 5843853, 5844035, 5844394, 5844496, 5844769, 5844904, 5845081, 5845280, 5845314, 5845760, 5846598, 5847671, 5847750, 5848025, 5848304, 5848755, 5848767, 5848809, 5850101, 5850490, 5851771, 5851804, 5852159, 5852280, 5852308, 5852634, 5852905, 5853016, 5853167, 5853538, 5853630, 5853895, 5854379, 5854418, 5854783, 5854826, 5854855, 5854906, 5854968, 5855669, 5856392, 5856791, 5856920, 5857548, 5857554, 5858063, 5858072, 5858234, 5858437, 5858683, 5858758, 5859051, 5859110, 5860033, 5860134, 5860325, 5862566, 5863041, 5863158, 5863247, 5863784, 5863792, 5863833, 5863924, 5864170, 5864225, 5864276, 5864462, 5864506, 5865017, 5865056, 5865464, 5865676, 5865875, 5866013, 5866168, 5866185, 5866256, 5866520, 5866810, 5867014, 5867187, 5867580, 5867657, 5868147, 5868213, 5868570, 5868609, 5868617, 5868994, 5869109, 5869716, 5870725, 5871115, 5871275, 5871412, 5871527, 5871835, 5871929, 5872020, 5872183, 5872199, 5874014, 5874160, 5874193, 5874434, 5874455, 5875023, 5875136, 5875250, 5875448, 5875578, 5875727, 5875739, 5875960, 5875987, 5876039, 5876798, 5877198, 5877462, 5877780, 5879130, 5879373, 5879498, 5880080, 5880166, 5880443, 5880451, 5880529, 5880758, 5880838, 5880949, 5881209, 5881457, 5881551, 5881642, 5882068, 5882247, 5882286, 5882391, 5882705, 5882919, 5883032, 5883061, 5883441, 5883553, 5883767, 5883908, 5884614, 5885481, 5886132, 5886298, 5886605, 5886714, 5886731, 5886841, 5886903, 5887019, 5887087, 5887200, 5887440, 5887533, 5888050, 5888489, 5888759, 5889225, 5889447, 5889594, 5889845, 5889937, 5890032, 5890048, 5890083, 5890120, 5890540, 5890789, 5890835, 5891078, 5891384, 5891512, 5891638, 5892310, 5892354, 5892685, 5892886, 5893465, 5893470, 5893701, 5893883, 5894002, 5894020, 5894079, 5894500, 5894729, 5894859, 5894885, 5894894, 5894911, 5895698, 5895948, 5896023, 5896208, 5896250, 5896718, 5896740, 5896792, 5897105, 5897192, 5897921, 5898027, 5898156, 5898355, 5898770, 5898820, 5899258, 5899628, 5899635, 5899710, 5899977, 5900433, 5901379, 5901427, 5901680, 5901707, 5901930, 5901941, 5901959, 5902014, 5902146, 5902509, 5902759, 5902999, 5903210, 5903462, 5903920, 5904792, 5904946, 5905156, 5905303, 5905446, 5905913, 5905922, 5905974, 5906240, 5906266, 5906519, 5906808, 5907120, 5907304, 5907430, 5907571, 5907726, 5907835, 5907891, 5908265, 5908545, 5908841, 5909056, 5909323, 5909531, 5909661, 5910120, 5910681, 5910778, 5911261, 5911327, 5911845, 5912033, 5912271, 5912909, 5913308, 5913787, 5914161, 5914183, 5914265, 5914375, 5914387, 5914513, 5914911, 5914934, 5914955, 5914978, 5915008, 5915031, 5915698, 5916085, 5916993, 5917044, 5917531, 5918040, 5918294, 5919186, 5919213, 5919337, 5919628, 5920233, 5920346, 5920491, 5920934, 5921152, 5921175, 5921300, 5921827, 5922024, 5922108, 5922150, 5922173, 5922466, 5922725, 5923493, 5923757, 5923896, 5924697, 5924828, 5925055, 5925366, 5925431, 5925450, 5925568, 5925652, 5926377, 5926573, 5927960, 5928097, 5928927, 5928940, 5928971, 5928984, 5929016, 5929332, 5929630, 5930040, 5930268, 5930969, 5931332, 5932182, 5932717, 5933288, 5933442, 5933839, 5933840, 5933961, 5934171, 5935159, 5935760, 5936052, 5936162, 5936549, 5937043, 5937064, 5937265, 5937360, 5937472, 5937684, 5938316, 5938406, 5939262, 5939363, 5939425, 5939542, 5940207, 5940299, 5940638, 5940675, 5941063, 5941127, 5941402, 5942027, 5942583, 5942798, 5943799, 5944552, 5944873, 5944935, 5945015, 5945338, 5945762, 5946712, 5946723, 5946768, 5946840, 5947177, 5947421, 5947520, 5947588, 5947689, 5948425, 5948651, 5948705, 5950052, 5950388, 5950521, 5950941, 5951252, 5951287, 5951844, 5952536, 5952640, 5953648, 5953769, 5954313, 5954657, 5954777, 5954818, 5954884, 5955122, 5955174, 5955208, 5955753, 5955849, 5955938, 5956027, 5956206, 5956525, 5956673, 5956695, 5957366, 5957462, 5957473, 5957717, 5958668, 5958715, 5958737, 5958980, 5959130, 5959168, 5959280, 5959810, 5959899, 5960035, 5960063, 5960153, 5960819, 5961097, 5961123, 5961564, 5961760, 5962425, 5962476, 5962602, 5962987, 5963293, 5963333, 5963398, 5963703, 5963742, 5963856, 5964071, 5965862, 5965972, 5966043, 5966096, 5966257, 5966522, 5966639, 5967001, 5967052, 5967173, 5967453, 5967842, 5968138, 5968509, 5969116, 5969601, 5969744, 5969869, 5970031, 5970062, 5970264, 5970794, 5970932, 5971068, 5971857, 5972141, 5972746, 5973383, 5973469, 5973560, 5973606, 5973963, 5974427, 5974471, 5974484, 5974492, 5974855, 5974906, 5975102, 5975219, 5975224, 5975304, 5975382, 5975494, 5975986, 5976026, 5976772, 5976869, 5976920, 5977629, 5977650, 5977958, 5978330, 5978464, 5978648, 5978700, 5979671, 5979894, 5980057, 5980218, 5980307, 5980606, 5980831, 5981132, 5981324, 5982115, 5982571, 5982622, 5982703, 5982778, 5983380, 5984915, 5984937, 5985226, 5986291, 5986498, 5987152, 5987215, 5987805, 5988521, 5988799, 5988855, 5989259, 5989268, 5989378, 5989460, 5990214, 5990295, 5991066, 5991695, 5991733, 5992166, 5992184, 5993319, 5993692, 5994228, 5994331, 5994386, 5994861, 5994905, 5995046, 5995906, 5996083, 5996143, 5996423, 5996613, 5996674, 5997332, 5997980, 5998104, 5998133, 5998408, 5998473, 5998652, 5999202, 5999369, 6000267, 6000531, 6000562, 6001177, 6001280, 6003054, 6004144, 6004561, 6005065, 6005623, 6005743, 6005831, 6006107, 6006204, 6007222, 6008146, 6008657, 6008759, 6009283, 6009384, 6009495, 6009619, 6010504, 6010644, 6010834, 6011196, 6011755, 6012043, 6012079, 6012088, 6012176, 6012393, 6013306, 6014572, 6014840, 6014910, 6014961, 6015085, 6015317, 6015542, 6015590, 6016401, 6017089, 6017447, 6018070, 6018142, 6018227, 6018310, 6018641, 6018779, 6018814, 6019738, 6019775, 6020374, 6020712, 6020785, 6021094, 6021250, 6021344, 6021425, 6021637, 6021753, 6021849, 6022280, 6022465, 6022701, 6023737, 6023972, 6024060, 6024281, 6024297, 6024302, 6024906, 6025856, 6025950, 6026165] \ No newline at end of file